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"/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_deprecated_initialize_test_deprecated_initialize.with_raises_ImportError_.with_expr_initialize_.assert_compose_": {"doc_hash": "d29b5b71e4794960c39ecdd01d4edf64bd59a567bce79c21b8b69129b7ce78d3"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_deprecated_initialize_config_dir_test_deprecated_initialize_config_dir.with_raises_.with_expr_initialize_conf.assert_compose_": {"doc_hash": "42f6207527038930cc29dcad7520b4dac7bbedcdd7413868e0a77d44ebd9970a"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_deprecated_initialize_config_module_test_initialize_without_config_path.with_warns_expected_warni.with_initialize_.pass": {"doc_hash": "06b15ac153a18cfc0f898ffd0e76357d2fcd8d9090113a93f7efa27ab4483236"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_builtins_eq.if_isinstance_item1_floa.else_._type_ignore": {"doc_hash": "af7b1871efb8864a5d2e7d5896b0442863c9ec2970d74d082fc68c81bfa2dd93"}}, "docstore/data": {"/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/build_helpers/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/build_helpers/__init__.py__", "embedding": null, "metadata": {"file_path": "build_helpers/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 3, "span_ids": ["docstring"], "tokens": 27}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nimport setuptools  # isort:skip # noqa", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/build_helpers/bin/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/build_helpers/bin/__init__.py__", "embedding": null, "metadata": {"file_path": "build_helpers/bin/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/build_helpers/build_helpers.py_codecs_matches.return.False": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/build_helpers/build_helpers.py_codecs_matches.return.False", "embedding": null, "metadata": {"file_path": "build_helpers/build_helpers.py", "file_name": "build_helpers.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 32, "span_ids": ["find_version", "matches", "docstring"], "tokens": 202}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import codecs\nimport errno\nimport logging\nimport os\nimport re\nimport shutil\nimport subprocess\nfrom os.path import abspath, basename, dirname, exists, isdir, join\nfrom typing import List, Optional\n\nfrom setuptools import Command\nfrom setuptools.command import build_py, develop, sdist\n\nlog = logging.getLogger(__name__)\n\n\ndef find_version(*file_paths: str) -> str:\n    with codecs.open(os.path.join(*file_paths), \"r\") as fp:\n        version_file = fp.read()\n    version_match = re.search(r\"^__version__ = ['\\\"]([^'\\\"]*)['\\\"]\", version_file, re.M)\n    if version_match:\n        return version_match.group(1)\n    raise RuntimeError(\"Unable to find version string.\")\n\n\ndef matches(patterns: List[str], string: str) -> bool:\n    string = string.replace(\"\\\\\", \"/\")\n    for pattern in patterns:\n        if re.match(pattern, string):\n            return True\n    return False", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/build_helpers/build_helpers.py_find__find.return.find__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/build_helpers/build_helpers.py_find__find.return.find__", "embedding": null, "metadata": {"file_path": "build_helpers/build_helpers.py", "file_name": "build_helpers.py", "file_type": "text/x-python", "category": "implementation", "start_line": 33, "end_line": 86, "span_ids": ["find_", "find"], "tokens": 311}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def find_(\n    root: str,\n    rbase: str,\n    include_files: List[str],\n    include_dirs: List[str],\n    excludes: List[str],\n    scan_exclude: List[str],\n) -> List[str]:\n    files = []\n    scan_root = os.path.join(root, rbase)\n    with os.scandir(scan_root) as it:\n        for entry in it:\n            path = os.path.join(rbase, entry.name)\n            if matches(scan_exclude, path):\n                continue\n\n            if entry.is_dir():\n                if matches(include_dirs, path):\n                    if not matches(excludes, path):\n                        files.append(path)\n                else:\n                    ret = find_(\n                        root=root,\n                        rbase=path,\n                        include_files=include_files,\n                        include_dirs=include_dirs,\n                        excludes=excludes,\n                        scan_exclude=scan_exclude,\n                    )\n                    files.extend(ret)\n            else:\n                if matches(include_files, path) and not matches(excludes, path):\n                    files.append(path)\n\n    return files\n\n\ndef find(\n    root: str,\n    include_files: List[str],\n    include_dirs: List[str],\n    excludes: List[str],\n    scan_exclude: Optional[List[str]] = None,\n) -> List[str]:\n    if scan_exclude is None:\n        scan_exclude = []\n    return find_(\n        root=root,\n        rbase=\"\",\n        include_files=include_files,\n        include_dirs=include_dirs,\n        excludes=excludes,\n        scan_exclude=scan_exclude,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/build_helpers/build_helpers.py_CleanCommand_CleanCommand.finalize_options.pass": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/build_helpers/build_helpers.py_CleanCommand_CleanCommand.finalize_options.pass", "embedding": null, "metadata": {"file_path": "build_helpers/build_helpers.py", "file_name": "build_helpers.py", "file_type": "text/x-python", "category": "implementation", "start_line": 89, "end_line": 129, "span_ids": ["CleanCommand.initialize_options", "CleanCommand.run", "CleanCommand.finalize_options", "CleanCommand"], "tokens": 252}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class CleanCommand(Command):  # type: ignore\n    \"\"\"\n    Our custom command to clean out junk files.\n    \"\"\"\n\n    description = \"Cleans out generated and junk files we don't want in the repo\"\n    dry_run: bool\n    user_options: List[str] = []\n\n    def run(self) -> None:\n        files = find(\n            \".\",\n            include_files=[\"^hydra/grammar/gen/.*\"],\n            include_dirs=[\n                \"\\\\.egg-info$\",\n                \"^.pytest_cache$\",\n                \".*/__pycache__$\",\n                \".*/multirun$\",\n                \".*/outputs$\",\n                \"^build$\",\n            ],\n            scan_exclude=[\"^.git$\", \"^.nox/.*$\", \"^website/.*$\"],\n            excludes=[\".*\\\\.gitignore$\"],\n        )\n\n        if self.dry_run:\n            print(\"Would clean up the following files and dirs\")\n            print(\"\\n\".join(files))\n        else:\n            for f in files:\n                if exists(f):\n                    if isdir(f):\n                        shutil.rmtree(f, ignore_errors=True)\n                    else:\n                        os.unlink(f)\n\n    def initialize_options(self) -> None:\n        pass\n\n    def finalize_options(self) -> None:\n        pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/build_helpers/build_helpers.py_ANTLRCommand_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/build_helpers/build_helpers.py_ANTLRCommand_", "embedding": null, "metadata": {"file_path": "build_helpers/build_helpers.py", "file_name": "build_helpers.py", "file_type": "text/x-python", "category": "implementation", "start_line": 171, "end_line": 206, "span_ids": ["ANTLRCommand.finalize_options", "ANTLRCommand.initialize_options", "ANTLRCommand", "ANTLRCommand.run"], "tokens": 225}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ANTLRCommand(Command):  # type: ignore\n    \"\"\"Generate parsers using ANTLR.\"\"\"\n\n    description = \"Run ANTLR\"\n    user_options: List[str] = []\n\n    def run(self) -> None:\n        \"\"\"Run command.\"\"\"\n        root_dir = abspath(dirname(__file__))\n        project_root = abspath(dirname(basename(__file__)))\n        for grammar in [\n            \"hydra/grammar/OverrideLexer.g4\",\n            \"hydra/grammar/OverrideParser.g4\",\n        ]:\n            command = [\n                \"java\",\n                \"-jar\",\n                join(root_dir, \"bin/antlr-4.9.3-complete.jar\"),\n                \"-Dlanguage=Python3\",\n                \"-o\",\n                join(project_root, \"hydra/grammar/gen/\"),\n                \"-Xexact-output-dir\",\n                \"-visitor\",\n                join(project_root, grammar),\n            ]\n\n            log.info(f\"Generating parser for Python3: {command}\")\n\n            subprocess.check_call(command)\n\n    def initialize_options(self) -> None:\n        pass\n\n    def finalize_options(self) -> None:\n        pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/build_helpers/test_helpers.py_os.path_test_find.assert_ret_set_expecte": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/build_helpers/test_helpers.py_os.path_test_find.assert_ret_set_expecte", "embedding": null, "metadata": {"file_path": "build_helpers/test_helpers.py", "file_name": "test_helpers.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 117, "span_ids": ["test_find", "docstring"], "tokens": 705}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import os.path\nfrom pathlib import Path\nfrom typing import List\n\nfrom pytest import mark, param\n\nfrom build_helpers.build_helpers import find, matches\n\n\n@mark.parametrize(\n    \"path,include_files,include_dirs,excludes,scan_exclude,expected\",\n    [\n        param(\"test_files\", [], [], [], [], [], id=\"none\"),\n        param(\n            \"test_files\",\n            [\".*\"],\n            [],\n            [],\n            [],\n            [\n                \"a/b/bad_dir/.gitkeep\",\n                \"a/b/file2.txt\",\n                \"a/b/file1.txt\",\n                \"a/b/junk.txt\",\n                \"c/bad_dir/.gitkeep\",\n                \"c/file2.txt\",\n                \"c/file1.txt\",\n                \"c/junk.txt\",\n            ],\n            id=\"all\",\n        ),\n        param(\n            \"test_files\",\n            [\".*\"],\n            [],\n            [\"^a/.*\"],\n            [],\n            [\"c/bad_dir/.gitkeep\", \"c/file2.txt\", \"c/file1.txt\", \"c/junk.txt\"],\n            id=\"filter_a\",\n        ),\n        param(\n            \"test_files\",\n            [\"^a/.*\"],\n            [],\n            [],\n            [],\n            [\"a/b/bad_dir/.gitkeep\", \"a/b/file2.txt\", \"a/b/file1.txt\", \"a/b/junk.txt\"],\n            id=\"include_a\",\n        ),\n        param(\n            \"test_files\",\n            [\"^a/.*\"],\n            [],\n            [\".*/file1\\\\.txt\"],\n            [],\n            [\"a/b/bad_dir/.gitkeep\", \"a/b/file2.txt\", \"a/b/junk.txt\"],\n            id=\"include_a,exclude_file1\",\n        ),\n        param(\n            \"test_files\",\n            [\".*\"],\n            [],\n            [\"^.*/junk.txt$\"],\n            [],\n            [\n                \"a/b/bad_dir/.gitkeep\",\n                \"a/b/file2.txt\",\n                \"a/b/file1.txt\",\n                \"c/bad_dir/.gitkeep\",\n                \"c/file2.txt\",\n                \"c/file1.txt\",\n            ],\n            id=\"no_junk\",\n        ),\n        param(\n            \"test_files\",\n            [\"^.*/junk.txt\"],\n            [],\n            [],\n            [],\n            [\"a/b/junk.txt\", \"c/junk.txt\"],\n            id=\"junk_only\",\n        ),\n        param(\"test_files\", [], [\"^a$\"], [], [], [\"a\"], id=\"exact_a\"),\n        param(\n            \"test_files\",\n            [],\n            [\".*bad_dir$\"],\n            [],\n            [],\n            [\"a/b/bad_dir\", \"c/bad_dir\"],\n            id=\"bad_dirs\",\n        ),\n    ],\n)\ndef test_find(\n    path: str,\n    include_files: List[str],\n    include_dirs: List[str],\n    excludes: List[str],\n    scan_exclude: List[str],\n    expected: List[str],\n) -> None:\n    basedir = os.path.normpath(os.path.dirname(__file__))\n    path = os.path.join(basedir, \"test_files\")\n    ret = find(\n        root=path,\n        excludes=excludes,\n        include_files=include_files,\n        include_dirs=include_dirs,\n        scan_exclude=scan_exclude,\n    )\n\n    ret_set = set([str(Path(x)) for x in ret])\n    expected_set = set([str(Path(x)) for x in expected])\n    assert ret_set == expected_set", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/build_helpers/test_helpers.py_test_matches_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/build_helpers/test_helpers.py_test_matches_", "embedding": null, "metadata": {"file_path": "build_helpers/test_helpers.py", "file_name": "test_helpers.py", "file_type": "text/x-python", "category": "test", "start_line": 120, "end_line": 132, "span_ids": ["test_matches"], "tokens": 115}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"patterns,query,expected\",\n    [\n        ([\"^a/.*\"], \"a/\", True),\n        ([\"^a/.*\"], \"a\\\\\", True),\n        ([\"^/foo/bar/.*\"], \"/foo/bar/blag\", True),\n        ([\"^/foo/bar/.*\"], \"\\\\foo\\\\bar/blag\", True),\n    ],\n)\ndef test_matches(patterns: List[str], query: str, expected: bool) -> None:\n    ret = matches(patterns, query)\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/ad_hoc_composition/hydra_compose_example.py_from_omegaconf_import_Ome_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/ad_hoc_composition/hydra_compose_example.py_from_omegaconf_import_Ome_", "embedding": null, "metadata": {"file_path": "examples/advanced/ad_hoc_composition/hydra_compose_example.py", "file_name": "hydra_compose_example.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 12, "span_ids": ["docstring"], "tokens": 96}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from omegaconf import OmegaConf\n\nfrom hydra import compose, initialize\n\nif __name__ == \"__main__\":\n    # initialize the Hydra subsystem.\n    # This is needed for apps that cannot have a standard @hydra.main() entry point\n    initialize(version_base=None, config_path=\"conf\")\n    cfg = compose(\"config.yaml\", overrides=[\"db=mysql\", \"db.user=${oc.env:USER}\"])\n    print(OmegaConf.to_yaml(cfg, resolve=True))", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/hydra_app_example/hydra_app/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/hydra_app_example/hydra_app/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/advanced/hydra_app_example/hydra_app/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/hydra_app_example/hydra_app/conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/hydra_app_example/hydra_app/conf/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/advanced/hydra_app_example/hydra_app/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/hydra_app_example/hydra_app/main.py_from_typing_import_Any_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/hydra_app_example/hydra_app/main.py_from_typing_import_Any_", "embedding": null, "metadata": {"file_path": "examples/advanced/hydra_app_example/hydra_app/main.py", "file_name": "main.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 24, "span_ids": ["add", "main", "impl", "docstring"], "tokens": 143}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Any\n\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\ndef add(app_cfg: DictConfig, key1: str, key2: str) -> Any:\n    num1 = app_cfg[key1]\n    num2 = app_cfg[key2]\n    ret = num1 + num2\n    print(f\"Hello {app_cfg.user}, {num1} + {num2} = {ret}\")\n    return ret\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef main(cfg: DictConfig) -> None:\n    add(cfg.app, \"num1\", \"num2\")\n\n\nif __name__ == \"__main__\":\n    main()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/hydra_app_example/setup.py__usr_bin_env_python_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/hydra_app_example/setup.py__usr_bin_env_python_", "embedding": null, "metadata": {"file_path": "examples/advanced/hydra_app_example/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 18, "span_ids": ["docstring"], "tokens": 106}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "#!/usr/bin/env python\n\nfrom setuptools import find_packages, setup\n\nsetup(\n    name=\"hydra-app\",\n    version=\"0.1\",\n    packages=find_packages(include=[\"hydra_app\"]),\n    entry_points={\"console_scripts\": [\"hydra_app = hydra_app.main:main\"]},\n    author=\"you!\",\n    author_email=\"your_email@example.com\",\n    url=\"http://hydra-app.example.com\",\n    include_package_data=True,\n    install_requires=[\"hydra-core>=1.0.0\"],\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/hydra_app_example/tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/hydra_app_example/tests/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/advanced/hydra_app_example/tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/hydra_app_example/tests/test_example.py_unittest_TestWithUnittest.test_generated_config.with_initialize_config_mo.assert_cfg_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/hydra_app_example/tests/test_example.py_unittest_TestWithUnittest.test_generated_config.with_initialize_config_mo.assert_cfg_", "embedding": null, "metadata": {"file_path": "examples/advanced/hydra_app_example/tests/test_example.py", "file_name": "test_example.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 48, "span_ids": ["test_with_initialize", "TestWithUnittest.test_generated_config", "test_with_initialize_config_module", "TestWithUnittest", "docstring"], "tokens": 487}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import unittest\nfrom typing import List\n\nfrom pytest import mark\n\nimport hydra_app.main\nfrom hydra import compose, initialize, initialize_config_module\n\n\n# 1. initialize will add config_path the config search path within the context\n# 2. The module with your configs should be importable. it needs to have a __init__.py (can be empty).\n# 3. The config path is relative to the file calling initialize (this file)\ndef test_with_initialize() -> None:\n    with initialize(version_base=None, config_path=\"../hydra_app/conf\"):\n        # config is relative to a module\n        cfg = compose(config_name=\"config\", overrides=[\"app.user=test_user\"])\n        assert cfg == {\n            \"app\": {\"user\": \"test_user\", \"num1\": 10, \"num2\": 20},\n            \"db\": {\"host\": \"localhost\", \"port\": 3306},\n        }\n\n\n# 1. initialize_with_module will add the config module to the config search path within the context\n# 2. The module with your configs should be importable. it needs to have a __init__.py (can be empty).\n# 3. The module should be absolute\n# 4. This approach is not sensitive to the location of this file, the test can be relocated freely.\ndef test_with_initialize_config_module() -> None:\n    with initialize_config_module(version_base=None, config_module=\"hydra_app.conf\"):\n        # config is relative to a module\n        cfg = compose(config_name=\"config\", overrides=[\"app.user=test_user\"])\n        assert cfg == {\n            \"app\": {\"user\": \"test_user\", \"num1\": 10, \"num2\": 20},\n            \"db\": {\"host\": \"localhost\", \"port\": 3306},\n        }\n\n\n# Usage in unittest style tests is similar.\nclass TestWithUnittest(unittest.TestCase):\n    def test_generated_config(self) -> None:\n        with initialize_config_module(\n            version_base=None, config_module=\"hydra_app.conf\"\n        ):\n            cfg = compose(config_name=\"config\", overrides=[\"app.user=test_user\"])\n            assert cfg == {\n                \"app\": {\"user\": \"test_user\", \"num1\": 10, \"num2\": 20},\n                \"db\": {\"host\": \"localhost\", \"port\": 3306},\n            }", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/hydra_app_example/tests/test_example.py__This_example_drives_som_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/hydra_app_example/tests/test_example.py__This_example_drives_som_", "embedding": null, "metadata": {"file_path": "examples/advanced/hydra_app_example/tests/test_example.py", "file_name": "test_example.py", "file_type": "text/x-python", "category": "test", "start_line": 51, "end_line": 65, "span_ids": ["test_user_logic", "TestWithUnittest.test_generated_config"], "tokens": 175}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# This example drives some user logic with the composed config.\n# In this case it calls hydra_app.main.add(), passing it the composed config.\n@mark.parametrize(\n    \"overrides, expected\",\n    [\n        ([\"app.user=test_user\"], 30),\n        ([\"app.user=test_user\", \"app.num1=20\", \"app.num2=100\"], 120),\n        ([\"app.user=test_user\", \"app.num1=-1001\", \"app.num2=1000\"], -1),\n    ],\n)\ndef test_user_logic(overrides: List[str], expected: int) -> None:\n    with initialize_config_module(version_base=None, config_module=\"hydra_app.conf\"):\n        cfg = compose(config_name=\"config\", overrides=overrides)\n        assert hydra_app.main.add(cfg.app, \"num1\", \"num2\") == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/hydra_app_example/tests/test_installed_app.py_re_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/hydra_app_example/tests/test_installed_app.py_re_", "embedding": null, "metadata": {"file_path": "examples/advanced/hydra_app_example/tests/test_installed_app.py", "file_name": "test_installed_app.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 42, "span_ids": ["TestAppOutput", "TestAppOutput.test_installed_run_searchpath", "TestAppOutput.test_python_run", "TestAppOutput.verify_output", "docstring", "TestAppOutput.test_installed_run"], "tokens": 323}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import re\nimport subprocess\nimport sys\n\n\n# The following tests are testing that the app actually runs as expected\n# when installed and executed from the command line.\n# You don't need to repeat those tests in your own app.\nclass TestAppOutput:\n\n    # Testing the Hydra app as an executable script\n    # This only works if we are at the root of the hydra-app-example\n    def test_python_run(self, tmpdir: str) -> None:\n        self.verify_output(\n            subprocess.check_output(\n                [\n                    sys.executable,\n                    \"hydra_app/main.py\",\n                    f\"hydra.run.dir={tmpdir}\",\n                    \"app.user=test_user\",\n                ]\n            )\n        )\n\n    # Testing the Hydra app as a console script\n    def test_installed_run(self, tmpdir: str) -> None:\n        self.verify_output(\n            subprocess.check_output(\n                [\"hydra_app\", f\"hydra.run.dir={tmpdir}\", \"app.user=test_user\"]\n            )\n        )\n\n    # test that installed app configs are loaded via pkg://hydra_app.conf\n    def test_installed_run_searchpath(self, tmpdir: str) -> None:\n        output = subprocess.check_output([\"hydra_app\", \"--info\"]).decode(\"utf-8\")\n        assert re.search(re.escape(\"pkg://hydra_app.conf\"), output) is not None\n\n    @staticmethod\n    def verify_output(result: bytes) -> None:\n        assert str(result.decode(\"utf-8\")).strip() == \"Hello test_user, 10 + 20 = 30\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/package_overrides/simple.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/package_overrides/simple.py__", "embedding": null, "metadata": {"file_path": "examples/advanced/package_overrides/simple.py", "file_name": "simple.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 81}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"simple\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/package_overrides/two_packages.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/package_overrides/two_packages.py__", "embedding": null, "metadata": {"file_path": "examples/advanced/package_overrides/two_packages.py", "file_name": "two_packages.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 82}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"two_packages\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/ray_example/ray_compose_example.py_time_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/ray_example/ray_compose_example.py_time_", "embedding": null, "metadata": {"file_path": "examples/advanced/ray_example/ray_compose_example.py", "file_name": "ray_compose_example.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 36, "span_ids": ["main", "train", "impl", "docstring"], "tokens": 226}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import time\nfrom typing import List, Tuple\n\nimport ray\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@ray.remote  # type: ignore\ndef train(overrides: List[str], cfg: DictConfig) -> Tuple[List[str], float]:\n    print(OmegaConf.to_yaml(cfg))\n    time.sleep(5)\n    return overrides, 0.9\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef main(cfg: DictConfig) -> None:\n    ray.init(**cfg.ray.init)\n\n    results = []\n    for model in [\"alexnet\", \"resnet\"]:\n        for dataset in [\"cifar10\", \"imagenet\"]:\n            overrides = [f\"dataset={dataset}\", f\"model={model}\"]\n            run_cfg = hydra.compose(overrides=overrides)\n            ret = train.remote(overrides, run_cfg)\n            results.append(ret)\n\n    for overrides, score in ray.get(results):\n        print(f\"Result from {overrides} : {score}\")\n\n\nif __name__ == \"__main__\":\n    main()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/configure_hydra/custom_help/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/configure_hydra/custom_help/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/configure_hydra/custom_help/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 81}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/configure_hydra/job_name/no_config_file_override.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/configure_hydra/job_name/no_config_file_override.py__", "embedding": null, "metadata": {"file_path": "examples/configure_hydra/job_name/no_config_file_override.py", "file_name": "no_config_file_override.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 15, "span_ids": ["experiment", "impl", "docstring"], "tokens": 80}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\nfrom hydra.core.hydra_config import HydraConfig\n\n\n@hydra.main(version_base=None)\ndef experiment(_cfg: DictConfig) -> None:\n    print(HydraConfig.get().job.name)\n\n\nif __name__ == \"__main__\":\n    experiment()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/configure_hydra/job_name/with_config_file_override.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/configure_hydra/job_name/with_config_file_override.py__", "embedding": null, "metadata": {"file_path": "examples/configure_hydra/job_name/with_config_file_override.py", "file_name": "with_config_file_override.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 15, "span_ids": ["experiment", "impl", "docstring"], "tokens": 89}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\nfrom hydra.core.hydra_config import HydraConfig\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef experiment(_cfg: DictConfig) -> None:\n    print(HydraConfig.get().job.name)\n\n\nif __name__ == \"__main__\":\n    experiment()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/configure_hydra/logging/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/configure_hydra/logging/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/configure_hydra/logging/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 18, "span_ids": ["my_app", "impl:3", "docstring"], "tokens": 88}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nimport logging\n\nfrom omegaconf import DictConfig\n\nimport hydra\n\nlog = logging.getLogger(__name__)\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(_cfg: DictConfig) -> None:\n    log.info(\"Info level message\")\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/jupyter_notebooks/cloud_app/conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/jupyter_notebooks/cloud_app/conf/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/jupyter_notebooks/cloud_app/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/patterns/specializing_config/example.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/patterns/specializing_config/example.py__", "embedding": null, "metadata": {"file_path": "examples/patterns/specializing_config/example.py", "file_name": "example.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 19, "span_ids": ["impl:3", "experiment", "docstring"], "tokens": 95}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nimport logging\nimport sys\n\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\nlog = logging.getLogger(__name__)\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef experiment(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    sys.exit(experiment())", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/patterns/write_protect_config_node/frozen.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/patterns/write_protect_config_node/frozen.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "examples/patterns/write_protect_config_node/frozen.py", "file_name": "frozen.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 26, "span_ids": ["impl:4", "impl", "my_app", "SerialPort", "docstring"], "tokens": 117}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\n\nimport hydra\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass(frozen=True)\nclass SerialPort:\n    baud_rate: int = 19200\n    data_bits: int = 8\n    stop_bits: int = 1\n\n\ncs = ConfigStore.instance()\ncs.store(name=\"config\", node=SerialPort)\n\n\n@hydra.main(version_base=None, config_name=\"config\")\ndef my_app(cfg: SerialPort) -> None:\n    print(cfg)\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/running_your_hydra_app/3_working_directory/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/running_your_hydra_app/3_working_directory/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/tutorials/basic/running_your_hydra_app/3_working_directory/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 16, "span_ids": ["my_app", "impl", "docstring"], "tokens": 76}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nimport os\n\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(version_base=None)\ndef my_app(_cfg: DictConfig) -> None:\n    print(f\"Working directory : {os.getcwd()}\")\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/running_your_hydra_app/3_working_directory/original_cwd.py_os_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/running_your_hydra_app/3_working_directory/original_cwd.py_os_", "embedding": null, "metadata": {"file_path": "examples/tutorials/basic/running_your_hydra_app/3_working_directory/original_cwd.py", "file_name": "original_cwd.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 20, "span_ids": ["my_app", "impl", "docstring"], "tokens": 127}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import os\n\nfrom omegaconf import DictConfig\n\nimport hydra\nfrom hydra.utils import get_original_cwd, to_absolute_path\n\n\n@hydra.main()\ndef my_app(_cfg: DictConfig) -> None:\n    print(f\"Current working directory : {os.getcwd()}\")\n    print(f\"Orig working directory    : {get_original_cwd()}\")\n    print(f\"to_absolute_path('foo')   : {to_absolute_path('foo')}\")\n    print(f\"to_absolute_path('/foo')  : {to_absolute_path('/foo')}\")\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/running_your_hydra_app/4_logging/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/running_your_hydra_app/4_logging/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/tutorials/basic/running_your_hydra_app/4_logging/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 20, "span_ids": ["my_app", "impl:3", "docstring"], "tokens": 93}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nimport logging\n\nfrom omegaconf import DictConfig\n\nimport hydra\n\n# A logger for this file\nlog = logging.getLogger(__name__)\n\n\n@hydra.main(version_base=None)\ndef my_app(_cfg: DictConfig) -> None:\n    log.info(\"Info level message\")\n    log.debug(\"Debug level message\")\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/your_first_hydra_app/1_simple_cli/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/your_first_hydra_app/1_simple_cli/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/tutorials/basic/your_first_hydra_app/1_simple_cli/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 71}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None)\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/your_first_hydra_app/2_config_file/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/your_first_hydra_app/2_config_file/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/tutorials/basic/your_first_hydra_app/2_config_file/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 80}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/your_first_hydra_app/4_config_groups/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/your_first_hydra_app/4_config_groups/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/tutorials/basic/your_first_hydra_app/4_config_groups/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 76}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/your_first_hydra_app/5_defaults/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/your_first_hydra_app/5_defaults/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/tutorials/basic/your_first_hydra_app/5_defaults/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 81}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/your_first_hydra_app/6_composition/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/your_first_hydra_app/6_composition/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/tutorials/basic/your_first_hydra_app/6_composition/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 81}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/1_minimal/my_app.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/1_minimal/my_app.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "examples/tutorials/structured_configs/1_minimal/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 26, "span_ids": ["impl:4", "impl", "my_app", "MySQLConfig", "docstring"], "tokens": 128}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\n\nimport hydra\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass\nclass MySQLConfig:\n    host: str = \"localhost\"\n    port: int = 3306\n\n\ncs = ConfigStore.instance()\n# Registering the Config class with the name 'config'.\ncs.store(name=\"config\", node=MySQLConfig)\n\n\n@hydra.main(version_base=None, config_name=\"config\")\ndef my_app(cfg: MySQLConfig) -> None:\n    print(f\"Host: {cfg.host}, port: {cfg.port}\")\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/1_minimal/my_app_type_error.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/1_minimal/my_app_type_error.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "examples/tutorials/structured_configs/1_minimal/my_app_type_error.py", "file_name": "my_app_type_error.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 28, "span_ids": ["impl:4", "impl", "my_app", "MySQLConfig", "docstring"], "tokens": 144}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\n\nimport hydra\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass\nclass MySQLConfig:\n    host: str = \"localhost\"\n    port: int = 3306\n\n\ncs = ConfigStore.instance()\n# Registering the Config class with the name 'config'\ncs.store(name=\"config\", node=MySQLConfig)\n\n\n@hydra.main(version_base=None, config_name=\"config\")\ndef my_app(cfg: MySQLConfig) -> None:\n    # pork should be port!\n    if cfg.pork == 80:  # type: ignore\n        print(\"Is this a webserver?!\")\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/2_static_complex/my_app.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/2_static_complex/my_app.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "examples/tutorials/structured_configs/2_static_complex/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 38, "span_ids": ["MyConfig", "impl:4", "impl", "my_app", "UserInterface", "MySQLConfig", "docstring"], "tokens": 183}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\n\nimport hydra\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass\nclass MySQLConfig:\n    host: str = \"localhost\"\n    port: int = 3306\n\n\n@dataclass\nclass UserInterface:\n    title: str = \"My app\"\n    width: int = 1024\n    height: int = 768\n\n\n@dataclass\nclass MyConfig:\n    db: MySQLConfig = MySQLConfig()\n    ui: UserInterface = UserInterface()\n\n\ncs = ConfigStore.instance()\ncs.store(name=\"config\", node=MyConfig)\n\n\n@hydra.main(version_base=None, config_name=\"config\")\ndef my_app(cfg: MyConfig) -> None:\n    print(f\"Title={cfg.ui.title}, size={cfg.ui.width}x{cfg.ui.height} pixels\")\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/3_config_groups/my_app.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/3_config_groups/my_app.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "examples/tutorials/structured_configs/3_config_groups/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 45, "span_ids": ["impl", "my_app", "Config", "MySQLConfig", "docstring", "impl:6", "PostGreSQLConfig"], "tokens": 222}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\nfrom typing import Any\n\nfrom omegaconf import OmegaConf\n\nimport hydra\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass\nclass MySQLConfig:\n    driver: str = \"mysql\"\n    host: str = \"localhost\"\n    port: int = 3306\n\n\n@dataclass\nclass PostGreSQLConfig:\n    driver: str = \"postgresql\"\n    host: str = \"localhost\"\n    port: int = 5432\n    timeout: int = 10\n\n\n@dataclass\nclass Config:\n    # We will populate db using composition.\n    db: Any\n\n\ncs = ConfigStore.instance()\ncs.store(name=\"config\", node=Config)\ncs.store(group=\"db\", name=\"mysql\", node=MySQLConfig)\ncs.store(group=\"db\", name=\"postgresql\", node=PostGreSQLConfig)\n\n\n@hydra.main(version_base=None, config_name=\"config\")\ndef my_app(cfg: Config) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/3_config_groups/my_app_with_inheritance.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/3_config_groups/my_app_with_inheritance.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "examples/tutorials/structured_configs/3_config_groups/my_app_with_inheritance.py", "file_name": "my_app_with_inheritance.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 50, "span_ids": ["impl", "my_app", "Config", "docstring", "MySQLConfig", "DBConfig", "impl:6", "PostGreSQLConfig"], "tokens": 251}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\n\nfrom omegaconf import MISSING, OmegaConf\n\nimport hydra\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass\nclass DBConfig:\n    host: str = \"localhost\"\n    port: int = MISSING\n    driver: str = MISSING\n\n\n@dataclass\nclass MySQLConfig(DBConfig):\n    driver: str = \"mysql\"\n    port: int = 3306\n\n\n@dataclass\nclass PostGreSQLConfig(DBConfig):\n    driver: str = \"postgresql\"\n    port: int = 5432\n    timeout: int = 10\n\n\n@dataclass\nclass Config:\n    # We can now annotate db as DBConfig which\n    # improves both static and dynamic type safety.\n    db: DBConfig\n\n\ncs = ConfigStore.instance()\ncs.store(name=\"config\", node=Config)\ncs.store(group=\"db\", name=\"mysql\", node=MySQLConfig)\ncs.store(group=\"db\", name=\"postgresql\", node=PostGreSQLConfig)\n\n\n@hydra.main(version_base=None, config_name=\"config\")\ndef my_app(cfg: Config) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/4_defaults/my_app.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/4_defaults/my_app.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "examples/tutorials/structured_configs/4_defaults/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 58, "span_ids": ["impl:3", "impl", "my_app", "Config", "MySQLConfig", "docstring", "impl:8", "PostGreSQLConfig"], "tokens": 332}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass, field\nfrom typing import Any, List\n\nfrom omegaconf import MISSING, OmegaConf  # Do not confuse with dataclass.MISSING\n\nimport hydra\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass\nclass MySQLConfig:\n    driver: str = \"mysql\"\n    host: str = \"localhost\"\n    port: int = 3306\n    user: str = \"omry\"\n    password: str = \"secret\"\n\n\n@dataclass\nclass PostGreSQLConfig:\n    driver: str = \"postgresql\"\n    host: str = \"localhost\"\n    port: int = 5432\n    timeout: int = 10\n    user: str = \"postgres_user\"\n    password: str = \"drowssap\"\n\n\ndefaults = [\n    # config group name db will load config named mysql\n    {\"db\": \"mysql\"}\n]\n\n\n@dataclass\nclass Config:\n    # this is unfortunately verbose due to @dataclass limitations\n    defaults: List[Any] = field(default_factory=lambda: defaults)\n\n    # Hydra will populate this field based on the defaults list\n    db: Any = MISSING\n\n\ncs = ConfigStore.instance()\ncs.store(group=\"db\", name=\"mysql\", node=MySQLConfig)\ncs.store(group=\"db\", name=\"postgresql\", node=PostGreSQLConfig)\ncs.store(name=\"config\", node=Config)\n\n\n@hydra.main(version_base=None, config_name=\"config\")\ndef my_app(cfg: Config) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/__init__.py__", "embedding": null, "metadata": {"file_path": "hydra/_internal/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl.load_configuration_ConfigLoaderImpl.load_configuration.try_.except_OmegaConfBaseExcep.raise_ConfigCompositionEx": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl.load_configuration_ConfigLoaderImpl.load_configuration.try_.except_OmegaConfBaseExcep.raise_ConfigCompositionEx", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_loader_impl.py", "file_name": "config_loader_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 132, "end_line": 149, "span_ids": ["ConfigLoaderImpl.load_configuration"], "tokens": 137}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigLoaderImpl(ConfigLoader):\n\n    def load_configuration(\n        self,\n        config_name: Optional[str],\n        overrides: List[str],\n        run_mode: RunMode,\n        from_shell: bool = True,\n        validate_sweep_overrides: bool = True,\n    ) -> DictConfig:\n        try:\n            return self._load_configuration_impl(\n                config_name=config_name,\n                overrides=overrides,\n                run_mode=run_mode,\n                from_shell=from_shell,\n                validate_sweep_overrides=validate_sweep_overrides,\n            )\n        except OmegaConfBaseException as e:\n            raise ConfigCompositionException().with_traceback(sys.exc_info()[2]) from e", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_ConfigRepository.load_config_ConfigRepository.load_config.return.ret": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_ConfigRepository.load_config_ConfigRepository.load_config.return.ret", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_repository.py", "file_name": "config_repository.py", "file_type": "text/x-python", "category": "implementation", "start_line": 85, "end_line": 102, "span_ids": ["ConfigRepository.load_config"], "tokens": 159}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigRepository(IConfigRepository):\n\n    def load_config(self, config_path: str) -> Optional[ConfigResult]:\n        source = self._find_object_source(\n            config_path=config_path, object_type=ObjectType.CONFIG\n        )\n        ret = None\n        if source is not None:\n            ret = source.load_config(config_path=config_path)\n            # if this source is THE schema source, flag the result as coming from it.\n            ret.is_schema_source = (\n                source.__class__.__name__ == \"StructuredConfigSource\"\n                and source.provider == \"schema\"\n            )\n\n        if ret is not None:\n            raw_defaults = self._extract_defaults_list(config_path, ret.config)\n            ret.defaults_list = self._create_defaults_list(config_path, raw_defaults)\n\n        return ret", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_search_path_impl.py_from_typing_import_List__ConfigSearchPathImpl.find_match.return._1": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_search_path_impl.py_from_typing_import_List__ConfigSearchPathImpl.find_match.return._1", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_search_path_impl.py", "file_name": "config_search_path_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 46, "span_ids": ["ConfigSearchPathImpl.find_first_match", "ConfigSearchPathImpl.find_last_match", "ConfigSearchPathImpl", "ConfigSearchPathImpl.get_path", "docstring", "ConfigSearchPathImpl.find_match", "ConfigSearchPathImpl.__init__"], "tokens": 303}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import List, MutableSequence, Optional, Union\n\nfrom hydra.core.config_search_path import (\n    ConfigSearchPath,\n    SearchPathElement,\n    SearchPathQuery,\n)\n\n\nclass ConfigSearchPathImpl(ConfigSearchPath):\n    config_search_path: List[SearchPathElement]\n\n    def __init__(self) -> None:\n        self.config_search_path = []\n\n    def get_path(self) -> MutableSequence[SearchPathElement]:\n        return self.config_search_path\n\n    def find_last_match(self, reference: SearchPathQuery) -> int:\n        return self.find_match(reference, reverse=True)\n\n    def find_first_match(self, reference: SearchPathQuery) -> int:\n        return self.find_match(reference, reverse=False)\n\n    def find_match(self, reference: SearchPathQuery, reverse: bool) -> int:\n        p = self.config_search_path\n        if reverse:\n            iterator = zip(reversed(range(len(p))), reversed(p))\n        else:\n            iterator = zip(range(len(p)), p)\n        for idx, sp in iterator:\n            has_prov = reference.provider is not None\n            has_path = reference.path is not None\n            if has_prov and has_path:\n                if reference.provider == sp.provider and reference.path == sp.path:\n                    return idx\n            elif has_prov:\n                if reference.provider == sp.provider:\n                    return idx\n            elif has_path:\n                if reference.path == sp.path:\n                    return idx\n            else:\n                assert False\n        return -1", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_search_path_impl.py_ConfigSearchPathImpl.append_ConfigSearchPathImpl.append.if_anchor_is_None_.else_.if_idx_1_.else_.self_append_provider_pat": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_search_path_impl.py_ConfigSearchPathImpl.append_ConfigSearchPathImpl.append.if_anchor_is_None_.else_.if_idx_1_.else_.self_append_provider_pat", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_search_path_impl.py", "file_name": "config_search_path_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 48, "end_line": 63, "span_ids": ["ConfigSearchPathImpl.append"], "tokens": 130}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSearchPathImpl(ConfigSearchPath):\n\n    def append(\n        self, provider: str, path: str, anchor: Optional[SearchPathQuery] = None\n    ) -> None:\n        if anchor is None:\n            self.config_search_path.append(SearchPathElement(provider, path))\n        else:\n            if isinstance(anchor, str):\n                anchor = SearchPathQuery(anchor, None)\n\n            idx = self.find_last_match(anchor)\n            if idx != -1:\n                self.config_search_path.insert(\n                    idx + 1, SearchPathElement(provider, path)\n                )\n            else:\n                self.append(provider, path, anchor=None)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_search_path_impl.py_ConfigSearchPathImpl.prepend_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_search_path_impl.py_ConfigSearchPathImpl.prepend_", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_search_path_impl.py", "file_name": "config_search_path_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 65, "end_line": 99, "span_ids": ["ConfigSearchPathImpl.prepend", "ConfigSearchPathImpl.__str__"], "tokens": 287}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSearchPathImpl(ConfigSearchPath):\n\n    def prepend(\n        self,\n        provider: str,\n        path: str,\n        anchor: Optional[Union[SearchPathQuery, str]] = None,\n    ) -> None:\n        \"\"\"\n        Prepends to the search path.\n        Note, this currently only takes effect if called before the ConfigRepository is instantiated.\n\n        :param provider: who is providing this search path, can be Hydra,\n               the @hydra.main() function, or individual plugins or libraries.\n        :param path: path element, can be a file system path or a package path (For example pkg://hydra.conf)\n        :param anchor: if string, acts as provider. if SearchPath can be used to match against provider and / or path\n        \"\"\"\n        if anchor is None:\n            self.config_search_path.insert(0, SearchPathElement(provider, path))\n        else:\n            if isinstance(anchor, str):\n                anchor = SearchPathQuery(anchor, None)\n\n            idx = self.find_first_match(anchor)\n            if idx != -1:\n                if idx > 0:\n                    self.config_search_path.insert(\n                        idx, SearchPathElement(provider, path)\n                    )\n                else:\n                    self.prepend(provider, path, None)\n            else:\n                self.prepend(provider, path, None)\n\n    def __str__(self) -> str:\n        return str(self.config_search_path)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/__init__.py__", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/bash_completion.py_logging_BashCompletion.install.print_script_self__get_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/bash_completion.py_logging_BashCompletion.install.print_script_self__get_", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/bash_completion.py", "file_name": "bash_completion.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 62, "span_ids": ["BashCompletion", "BashCompletion.install", "docstring"], "tokens": 490}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nimport os\nimport sys\nfrom typing import Optional\n\nfrom hydra.plugins.completion_plugin import CompletionPlugin\n\nlog = logging.getLogger(__name__)\n\n\nclass BashCompletion(CompletionPlugin):\n    def install(self) -> None:\n        # Record the old rule for uninstalling\n        script = (\n            f\"export _HYDRA_OLD_COMP=$(complete -p {self._get_exec()} 2> /dev/null)\\n\"\n        )\n        script += \"\"\"hydra_bash_completion()\n{\n    words=($COMP_LINE)\n    if [ \"${words[0]}\" == \"python\" ]; then\n        if (( ${#words[@]} < 2 )); then\n            return\n        fi\n        file_path=$(pwd)/${words[1]}\n        if [ ! -f \"$file_path\" ]; then\n            return\n        fi\n        grep \"@hydra.main\" $file_path -q\n        helper=\"${words[0]} ${words[1]}\"\n    else\n        helper=\"${words[0]}\"\n        true\n    fi\n\n    EXECUTABLE=($(command -v $helper))\n    if [ \"$HYDRA_COMP_DEBUG\" == \"1\" ]; then\n        printf \"EXECUTABLE_FIRST='${EXECUTABLE[0]}'\\\\n\"\n    fi\n    if ! [ -x \"${EXECUTABLE[0]}\" ]; then\n        false\n    fi\n\n    if [ $? == 0 ]; then\n        choices=$( COMP_POINT=$COMP_POINT COMP_LINE=$COMP_LINE $helper -sc query=bash)\n        word=${words[$COMP_CWORD]}\n\n        if [ \"$HYDRA_COMP_DEBUG\" == \"1\" ]; then\n            printf \"\\\\n\"\n            printf \"COMP_LINE='$COMP_LINE'\\\\n\"\n            printf \"COMP_POINT='$COMP_POINT'\\\\n\"\n            printf \"Word='$word'\\\\n\"\n            printf \"Output suggestions:\\\\n\"\n            printf \"\\\\t%s\\\\n\" ${choices[@]}\n        fi\n        COMPREPLY=($( compgen -o nospace -o default -W \"$choices\" -- \"$word\" ));\n    fi\n}\n\nCOMP_WORDBREAKS=${COMP_WORDBREAKS//=}\nCOMP_WORDBREAKS=$COMP_WORDBREAKS complete -o nospace -o default -F hydra_bash_completion \"\"\"\n        print(script + self._get_exec())", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/bash_completion.py_BashCompletion.uninstall_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/bash_completion.py_BashCompletion.uninstall_", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/bash_completion.py", "file_name": "bash_completion.py", "file_type": "text/x-python", "category": "implementation", "start_line": 64, "end_line": 99, "span_ids": ["BashCompletion._get_exec", "BashCompletion.provides", "BashCompletion.help", "BashCompletion.query", "BashCompletion.uninstall"], "tokens": 276}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class BashCompletion(CompletionPlugin):\n\n    def uninstall(self) -> None:\n        print(\"unset hydra_bash_completion\")\n        print(os.environ.get(\"_HYDRA_OLD_COMP\", \"\"))\n        print(\"unset _HYDRA_OLD_COMP\")\n\n    @staticmethod\n    def provides() -> str:\n        return \"bash\"\n\n    def query(self, config_name: Optional[str]) -> None:\n        line = os.environ[\"COMP_LINE\"]\n        # key = os.environ[\"COMP_POINT \"] if \"COMP_POINT \" in os.environ else len(line)\n\n        # if key == \"\":\n        #     key = 0\n        # if isinstance(key, str):\n        #     key = int(key)\n\n        # currently key is ignored.\n        line = self.strip_python_or_app_name(line)\n        print(\" \".join(self._query(config_name=config_name, line=line)))\n\n    @staticmethod\n    def help(command: str) -> str:\n        assert command in [\"install\", \"uninstall\"]\n        return f'eval \"$({{}} -sc {command}=bash)\"'\n\n    @staticmethod\n    def _get_exec() -> str:\n        if sys.argv[0].endswith(\".py\"):\n            return \"python\"\n        else:\n            # Running as an installed app (setuptools entry point)\n            executable = os.path.basename(sys.argv[0])\n            return executable", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/basic_launcher.py_logging_ConfigStore_instance_st": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/basic_launcher.py_logging_ConfigStore_instance_st", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/basic_launcher.py", "file_name": "basic_launcher.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 30, "span_ids": ["impl:3", "BasicLauncherConf", "docstring"], "tokens": 157}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nfrom dataclasses import dataclass\nfrom pathlib import Path\nfrom typing import List, Optional, Sequence\n\nfrom omegaconf import DictConfig, open_dict\n\nfrom hydra.core.config_store import ConfigStore\nfrom hydra.core.utils import (\n    JobReturn,\n    configure_log,\n    filter_overrides,\n    run_job,\n    setup_globals,\n)\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.types import HydraContext, TaskFunction\n\nlog = logging.getLogger(__name__)\n\n\n@dataclass\nclass BasicLauncherConf:\n    _target_: str = \"hydra._internal.core_plugins.basic_launcher.BasicLauncher\"\n\n\nConfigStore.instance().store(\n    group=\"hydra/launcher\", name=\"basic\", node=BasicLauncherConf, provider=\"hydra\"\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/basic_launcher.py_BasicLauncher_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/basic_launcher.py_BasicLauncher_", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/basic_launcher.py", "file_name": "basic_launcher.py", "file_type": "text/x-python", "category": "implementation", "start_line": 33, "end_line": 84, "span_ids": ["BasicLauncher.__init__", "BasicLauncher.launch", "BasicLauncher.setup", "BasicLauncher"], "tokens": 429}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class BasicLauncher(Launcher):\n    def __init__(self) -> None:\n        super().__init__()\n        self.config: Optional[DictConfig] = None\n        self.task_function: Optional[TaskFunction] = None\n        self.hydra_context: Optional[HydraContext] = None\n\n    def setup(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> None:\n        self.config = config\n        self.hydra_context = hydra_context\n        self.task_function = task_function\n\n    def launch(\n        self, job_overrides: Sequence[Sequence[str]], initial_job_idx: int\n    ) -> Sequence[JobReturn]:\n        setup_globals()\n        assert self.hydra_context is not None\n        assert self.config is not None\n        assert self.task_function is not None\n\n        configure_log(self.config.hydra.hydra_logging, self.config.hydra.verbose)\n        sweep_dir = self.config.hydra.sweep.dir\n        Path(str(sweep_dir)).mkdir(parents=True, exist_ok=True)\n        log.info(f\"Launching {len(job_overrides)} jobs locally\")\n        runs: List[JobReturn] = []\n        for idx, overrides in enumerate(job_overrides):\n            idx = initial_job_idx + idx\n            lst = \" \".join(filter_overrides(overrides))\n            log.info(f\"\\t#{idx} : {lst}\")\n            sweep_config = self.hydra_context.config_loader.load_sweep_config(\n                self.config, list(overrides)\n            )\n            with open_dict(sweep_config):\n                sweep_config.hydra.job.id = idx\n                sweep_config.hydra.job.num = idx\n            ret = run_job(\n                hydra_context=self.hydra_context,\n                task_function=self.task_function,\n                config=sweep_config,\n                job_dir_key=\"hydra.sweep.dir\",\n                job_subdir_key=\"hydra.sweep.subdir\",\n            )\n            runs.append(ret)\n            configure_log(self.config.hydra.hydra_logging, self.config.hydra.verbose)\n        return runs", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/basic_sweeper.py_itertools_log.logging_getLogger___name_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/basic_sweeper.py_itertools_log.logging_getLogger___name_", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/basic_sweeper.py", "file_name": "basic_sweeper.py", "file_type": "text/x-python", "category": "implementation", "start_line": 19, "end_line": 51, "span_ids": ["BasicSweeperConf", "impl", "docstring"], "tokens": 229}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import itertools\nimport logging\nimport time\nfrom collections import OrderedDict\nfrom dataclasses import dataclass\nfrom pathlib import Path\nfrom typing import Any, Dict, Iterable, List, Optional, Sequence\n\nfrom omegaconf import DictConfig, OmegaConf\n\nfrom hydra.core.config_store import ConfigStore\nfrom hydra.core.override_parser.overrides_parser import OverridesParser\nfrom hydra.core.override_parser.types import Override\nfrom hydra.core.utils import JobReturn\nfrom hydra.errors import HydraException\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.plugins.sweeper import Sweeper\nfrom hydra.types import HydraContext, TaskFunction\n\n\n@dataclass\nclass BasicSweeperConf:\n    _target_: str = \"hydra._internal.core_plugins.basic_sweeper.BasicSweeper\"\n    max_batch_size: Optional[int] = None\n    params: Optional[Dict[str, str]] = None\n\n\nConfigStore.instance().store(\n    group=\"hydra/sweeper\", name=\"basic\", node=BasicSweeperConf, provider=\"hydra\"\n)\n\n\nlog = logging.getLogger(__name__)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/basic_sweeper.py_BasicSweeper_BasicSweeper.split_overrides_to_chunks.for_i_in_range_0_len_lst.yield_lst_i_i_n_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/basic_sweeper.py_BasicSweeper_BasicSweeper.split_overrides_to_chunks.for_i_in_range_0_len_lst.yield_lst_i_i_n_", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/basic_sweeper.py", "file_name": "basic_sweeper.py", "file_type": "text/x-python", "category": "implementation", "start_line": 54, "end_line": 104, "span_ids": ["BasicSweeper", "BasicSweeper.setup", "BasicSweeper.split_overrides_to_chunks", "BasicSweeper.__init__"], "tokens": 334}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class BasicSweeper(Sweeper):\n    \"\"\"\n    Basic sweeper\n    \"\"\"\n\n    def __init__(\n        self, max_batch_size: Optional[int], params: Optional[Dict[str, str]] = None\n    ) -> None:\n        \"\"\"\n        Instantiates\n        \"\"\"\n        super(BasicSweeper, self).__init__()\n\n        if params is None:\n            params = {}\n        self.overrides: Optional[Sequence[Sequence[Sequence[str]]]] = None\n        self.batch_index = 0\n        self.max_batch_size = max_batch_size\n        self.params = params\n\n        self.hydra_context: Optional[HydraContext] = None\n        self.config: Optional[DictConfig] = None\n        self.launcher: Optional[Launcher] = None\n\n    def setup(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> None:\n        from hydra.core.plugins import Plugins\n\n        self.hydra_context = hydra_context\n        self.config = config\n\n        self.launcher = Plugins.instance().instantiate_launcher(\n            hydra_context=hydra_context,\n            task_function=task_function,\n            config=config,\n        )\n\n    @staticmethod\n    def split_overrides_to_chunks(\n        lst: List[List[str]], n: Optional[int]\n    ) -> Iterable[List[List[str]]]:\n        if n is None or n == -1:\n            n = len(lst)\n        assert n > 0\n        for i in range(0, len(lst), n):\n            yield lst[i : i + n]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/basic_sweeper.py_BasicSweeper.sweep_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/basic_sweeper.py_BasicSweeper.sweep_", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/basic_sweeper.py", "file_name": "basic_sweeper.py", "file_type": "text/x-python", "category": "implementation", "start_line": 148, "end_line": 201, "span_ids": ["BasicSweeper.get_job_batch", "BasicSweeper.is_done", "BasicSweeper.sweep"], "tokens": 463}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class BasicSweeper(Sweeper):\n\n    def sweep(self, arguments: List[str]) -> Any:\n        assert self.config is not None\n        assert self.launcher is not None\n        assert self.hydra_context is not None\n\n        params_conf = self._parse_config()\n        params_conf.extend(arguments)\n\n        parser = OverridesParser.create(config_loader=self.hydra_context.config_loader)\n        overrides = parser.parse_overrides(params_conf)\n\n        self.overrides = self.split_arguments(overrides, self.max_batch_size)\n        returns: List[Sequence[JobReturn]] = []\n\n        # Save sweep run config in top level sweep working directory\n        sweep_dir = Path(self.config.hydra.sweep.dir)\n        sweep_dir.mkdir(parents=True, exist_ok=True)\n        OmegaConf.save(self.config, sweep_dir / \"multirun.yaml\")\n\n        initial_job_idx = 0\n        while not self.is_done():\n            batch = self.get_job_batch()\n            tic = time.perf_counter()\n            # Validate that jobs can be safely composed. This catches composition errors early.\n            # This can be a bit slow for large jobs. can potentially allow disabling from the config.\n            self.validate_batch_is_legal(batch)\n            elapsed = time.perf_counter() - tic\n            log.debug(\n                f\"Validated configs of {len(batch)} jobs in {elapsed:0.2f} seconds, {len(batch)/elapsed:.2f} / second)\"\n            )\n            results = self.launcher.launch(batch, initial_job_idx=initial_job_idx)\n\n            for r in results:\n                # access the result to trigger an exception in case the job failed.\n                _ = r.return_value\n\n            initial_job_idx += len(batch)\n            returns.append(results)\n\n        return returns\n\n    def get_job_batch(self) -> Sequence[Sequence[str]]:\n        \"\"\"\n        :return: A list of lists of strings, each inner list is the overrides for a single job\n        that should be executed.\n        \"\"\"\n        assert self.overrides is not None\n        self.batch_index += 1\n        return self.overrides[self.batch_index - 1]\n\n    def is_done(self) -> bool:\n        assert self.overrides is not None\n        return self.batch_index >= len(self.overrides)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/file_config_source.py_FileConfigSource.available_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/file_config_source.py_FileConfigSource.available_", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/file_config_source.py", "file_name": "file_config_source.py", "file_type": "text/x-python", "category": "implementation", "start_line": 50, "end_line": 75, "span_ids": ["FileConfigSource.is_group", "FileConfigSource.is_config", "FileConfigSource.list", "FileConfigSource.available"], "tokens": 215}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class FileConfigSource(ConfigSource):\n\n    def available(self) -> bool:\n        return self.is_group(\"\")\n\n    def is_group(self, config_path: str) -> bool:\n        full_path = os.path.realpath(os.path.join(self.path, config_path))\n        return os.path.isdir(full_path)\n\n    def is_config(self, config_path: str) -> bool:\n        config_path = self._normalize_file_name(config_path)\n        full_path = os.path.realpath(os.path.join(self.path, config_path))\n        return os.path.isfile(full_path)\n\n    def list(self, config_path: str, results_filter: Optional[ObjectType]) -> List[str]:\n        files: List[str] = []\n        full_path = os.path.realpath(os.path.join(self.path, config_path))\n        for file in os.listdir(full_path):\n            file_path = os.path.join(config_path, file)\n            self._list_add_result(\n                files=files,\n                file_path=file_path,\n                file_name=file,\n                results_filter=results_filter,\n            )\n\n        return sorted(list(set(files)))", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/fish_completion.py_logging_FishCompletion.install.print_join_reg_cmd_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/fish_completion.py_logging_FishCompletion.install.print_join_reg_cmd_", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/fish_completion.py", "file_name": "fish_completion.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 40, "span_ids": ["FishCompletion.install", "FishCompletion", "docstring"], "tokens": 266}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nimport os\nimport sys\nfrom typing import List, Optional, Tuple\n\nfrom hydra.plugins.completion_plugin import CompletionPlugin\n\nlog = logging.getLogger(__name__)\n\n\nclass FishCompletion(CompletionPlugin):\n    def install(self) -> None:\n        script = \"\"\"function hydra_fish_completion\n    # Hydra will access COMP_LINE to generate completion candidates\n    set -lx COMP_LINE (commandline -cp)\n\n    # Find out how to call the underlying script\n    set -l parts (commandline -cpo)\n    if test \"$parts[1]\" = \"python\" -o \"$parts[1]\" = \"python3\"\n        set cmd \"$parts[1] $parts[2]\"\n        if not grep -q \"@hydra.main\" $parts[2]\n            return\n        end\n    else\n        set cmd \"$parts[1]\"\n    end\n\n    # Generate candidates\n    eval \"$cmd -sc query=fish\"\nend\n        \"\"\"\n        output = self._get_exec()\n        reg_cmd = []\n        for name, cond in output:\n            reg_cmd.append(\n                f\"complete -c {name} {cond}-x -a '(hydra_fish_completion)'\\n\"\n            )\n        print(script)\n        print(\"\".join(reg_cmd))", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/fish_completion.py_FishCompletion.uninstall_FishCompletion.help.return.f_sc_command_fish": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/fish_completion.py_FishCompletion.uninstall_FishCompletion.help.return.f_sc_command_fish", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/fish_completion.py", "file_name": "fish_completion.py", "file_type": "text/x-python", "category": "implementation", "start_line": 42, "end_line": 59, "span_ids": ["FishCompletion.uninstall", "FishCompletion.query", "FishCompletion.provides", "FishCompletion.help"], "tokens": 156}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class FishCompletion(CompletionPlugin):\n\n    def uninstall(self) -> None:\n        name = self._get_uninstall_exec()\n        print(f\"complete -e -c {name}\")\n        print(\"function hydra_fish_completion\\nend\")\n\n    @staticmethod\n    def provides() -> str:\n        return \"fish\"\n\n    def query(self, config_name: Optional[str]) -> None:\n        line = os.environ[\"COMP_LINE\"]\n        line = self.strip_python_or_app_name(line)\n        print(\"\\n\".join(self._query(config_name=config_name, line=line)))\n\n    @staticmethod\n    def help(command: str) -> str:\n        assert command in [\"install\", \"uninstall\"]\n        return f\"{{}} -sc {command}=fish | source\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/fish_completion.py_FishCompletion._get_exec_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/fish_completion.py_FishCompletion._get_exec_", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/fish_completion.py", "file_name": "fish_completion.py", "file_type": "text/x-python", "category": "implementation", "start_line": 61, "end_line": 82, "span_ids": ["FishCompletion._get_uninstall_exec", "FishCompletion._get_exec"], "tokens": 165}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class FishCompletion(CompletionPlugin):\n\n    @staticmethod\n    def _get_exec() -> List[Tuple[str, str]]:\n        # Running as an installed app (setuptools entry point)\n        output = []\n        # User scenario 1: python script.py\n        name = os.path.basename(sys.executable)\n        cond = f\"-n '__fish_seen_subcommand_from {sys.argv[0]}' \"\n        output.append((name, cond))\n\n        # User scenario 2: ./script.py or src/script.py or script.py\n        name = os.path.basename(sys.argv[0])\n        cond = \"\"\n        output.append((name, cond))\n\n        return output\n\n    @staticmethod\n    def _get_uninstall_exec() -> str:\n        name = os.path.basename(sys.argv[0])\n\n        return name", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/__init__.py__", "embedding": null, "metadata": {"file_path": "hydra/_internal/grammar/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/functions.py_inspect_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/functions.py_inspect_", "embedding": null, "metadata": {"file_path": "hydra/_internal/grammar/functions.py", "file_name": "functions.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 76, "span_ids": ["Functions", "Functions.eval", "docstring", "FunctionCall", "Functions.register"], "tokens": 533}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import inspect\nfrom dataclasses import dataclass, field\nfrom typing import Any, Callable, Dict, List\n\nfrom omegaconf._utils import type_str\n\nfrom hydra._internal.grammar.utils import is_type_matching\nfrom hydra.core.override_parser.types import QuotedString\nfrom hydra.errors import HydraException\n\n\n@dataclass\nclass FunctionCall:\n    name: str\n    args: List[Any]\n    kwargs: Dict[str, Any]\n\n\n@dataclass\nclass Functions:\n    definitions: Dict[str, inspect.Signature] = field(default_factory=dict)\n    functions: Dict[str, Callable[..., Any]] = field(default_factory=dict)\n\n    def register(self, name: str, func: Callable[..., Any]) -> None:\n        if name in self.definitions:\n            raise HydraException(f\"Function named '{name}' is already registered\")\n\n        self.definitions[name] = inspect.signature(func)\n        self.functions[name] = func\n\n    def eval(self, func: FunctionCall) -> Any:\n        if func.name not in self.definitions:\n            raise HydraException(\n                f\"Unknown function '{func.name}'\"\n                f\"\\nAvailable: {','.join(sorted(self.definitions.keys()))}\\n\"\n            )\n        sig = self.definitions[func.name]\n\n        # unquote strings in args\n        args = []\n        for arg in func.args:\n            if isinstance(arg, QuotedString):\n                arg = arg.text\n            args.append(arg)\n\n        # Unquote strings in kwargs values\n        kwargs = {}\n        for key, val in func.kwargs.items():\n            if isinstance(val, QuotedString):\n                val = val.text\n            kwargs[key] = val\n\n        bound = sig.bind(*args, **kwargs)\n\n        for idx, arg in enumerate(bound.arguments.items()):\n            name = arg[0]\n            value = arg[1]\n            expected_type = sig.parameters[name].annotation\n            if sig.parameters[name].kind == inspect.Parameter.VAR_POSITIONAL:\n                for iidx, v in enumerate(value):\n                    if not is_type_matching(v, expected_type):\n                        raise TypeError(\n                            f\"mismatch type argument {name}[{iidx}]:\"\n                            f\" {type_str(type(v))} is incompatible with {type_str(expected_type)}\"\n                        )\n\n            else:\n                if not is_type_matching(value, expected_type):\n                    raise TypeError(\n                        f\"mismatch type argument {name}:\"\n                        f\" {type_str(type(value))} is incompatible with {type_str(expected_type)}\"\n                    )\n\n        return self.functions[func.name](*bound.args, **bound.kwargs)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_builtins__list_to_simple_choice.return.ChoiceSweep_list_builtins": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_builtins__list_to_simple_choice.return.ChoiceSweep_list_builtins", "embedding": null, "metadata": {"file_path": "hydra/_internal/grammar/grammar_functions.py", "file_name": "grammar_functions.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 66, "span_ids": ["impl:3", "_list_to_simple_choice", "apply_to_dict_values", "cast_range", "cast_interval", "docstring", "cast_choice"], "tokens": 424}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import builtins\nimport random\nfrom copy import copy\nfrom typing import Any, Callable, Dict, List, Optional, Union\n\nfrom hydra._internal.grammar.utils import is_type_matching\nfrom hydra.core.override_parser.types import (\n    ChoiceSweep,\n    Glob,\n    IntervalSweep,\n    ParsedElementType,\n    QuotedString,\n    RangeSweep,\n    Sweep,\n)\n\nElementType = Union[str, int, bool, float, list, dict]\n\n\ndef apply_to_dict_values(\n    # val\n    value: Dict[Any, Any],\n    # func\n    function: Callable[..., Any],\n) -> Dict[Any, Any]:\n    ret_dict: Dict[str, Any] = {}\n    for key, value in value.items():\n        ret_dict[key] = function(value)\n    return ret_dict\n\n\ndef cast_choice(value: ChoiceSweep, function: Callable[..., Any]) -> ChoiceSweep:\n    choices = []\n    for item in value.list:\n        choice = function(item)\n        assert is_type_matching(choice, ElementType)\n        choices.append(choice)\n    return ChoiceSweep(simple_form=value.simple_form, list=choices)\n\n\ndef cast_interval(value: IntervalSweep, function: Callable[..., Any]) -> IntervalSweep:\n    return IntervalSweep(\n        start=function(value.start), end=function(value.end), tags=copy(value.tags)\n    )\n\n\ndef cast_range(value: RangeSweep, function: Callable[..., Any]) -> RangeSweep:\n    if function not in (cast_float, cast_int):\n        raise ValueError(\"Range can only be cast to int or float\")\n    return RangeSweep(\n        start=function(value.start),\n        stop=function(value.stop),\n        step=function(value.step),\n    )\n\n\nCastType = Union[ParsedElementType, Sweep]\n\n\ndef _list_to_simple_choice(*args: Any) -> ChoiceSweep:\n    choices: List[ParsedElementType] = []\n    for arg in args:\n        assert is_type_matching(arg, ParsedElementType)\n        choices.append(arg)\n    return ChoiceSweep(list=builtins.list(choices), simple_form=True)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py__normalize_cast_value__normalize_cast_value.assert_False": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py__normalize_cast_value__normalize_cast_value.assert_False", "embedding": null, "metadata": {"file_path": "hydra/_internal/grammar/grammar_functions.py", "file_name": "grammar_functions.py", "file_type": "text/x-python", "category": "implementation", "start_line": 70, "end_line": 81, "span_ids": ["_normalize_cast_value"], "tokens": 116}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _normalize_cast_value(*args: CastType, value: Optional[CastType]) -> CastType:\n    if len(args) > 0 and value is not None:\n        raise TypeError(\"cannot use both position and named arguments\")\n    if value is not None:\n        return value\n    if len(args) == 0:\n        raise TypeError(\"No positional args or value specified\")\n    if len(args) == 1:\n        return args[0]\n    if len(args) > 1:\n        return _list_to_simple_choice(*args)\n    assert False", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_cast_int_cast_int.return.int_value_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_cast_int_cast_int.return.int_value_", "embedding": null, "metadata": {"file_path": "hydra/_internal/grammar/grammar_functions.py", "file_name": "grammar_functions.py", "file_type": "text/x-python", "category": "implementation", "start_line": 84, "end_line": 99, "span_ids": ["cast_int"], "tokens": 159}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def cast_int(*args: CastType, value: Optional[CastType] = None) -> Any:\n    value = _normalize_cast_value(*args, value=value)\n    if isinstance(value, QuotedString):\n        return cast_int(value.text)\n    if isinstance(value, dict):\n        return apply_to_dict_values(value, cast_int)\n    if isinstance(value, list):\n        return list(map(cast_int, value))\n    elif isinstance(value, ChoiceSweep):\n        return cast_choice(value, cast_int)\n    elif isinstance(value, RangeSweep):\n        return cast_range(value, cast_int)\n    elif isinstance(value, IntervalSweep):\n        return cast_interval(value, cast_int)\n    assert isinstance(value, (int, float, bool, str))\n    return int(value)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_cast_float_cast_float.return.float_value_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_cast_float_cast_float.return.float_value_", "embedding": null, "metadata": {"file_path": "hydra/_internal/grammar/grammar_functions.py", "file_name": "grammar_functions.py", "file_type": "text/x-python", "category": "implementation", "start_line": 102, "end_line": 117, "span_ids": ["cast_float"], "tokens": 159}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def cast_float(*args: CastType, value: Optional[CastType] = None) -> Any:\n    value = _normalize_cast_value(*args, value=value)\n    if isinstance(value, QuotedString):\n        return cast_float(value.text)\n    if isinstance(value, dict):\n        return apply_to_dict_values(value, cast_float)\n    if isinstance(value, list):\n        return list(map(cast_float, value))\n    elif isinstance(value, ChoiceSweep):\n        return cast_choice(value, cast_float)\n    elif isinstance(value, RangeSweep):\n        return cast_range(value, cast_float)\n    elif isinstance(value, IntervalSweep):\n        return cast_interval(value, cast_float)\n    assert isinstance(value, (int, float, bool, str))\n    return float(value)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_cast_str_cast_str.if_isinstance_value_bool.else_.return.str_value_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_cast_str_cast_str.if_isinstance_value_bool.else_.return.str_value_", "embedding": null, "metadata": {"file_path": "hydra/_internal/grammar/grammar_functions.py", "file_name": "grammar_functions.py", "file_type": "text/x-python", "category": "implementation", "start_line": 119, "end_line": 138, "span_ids": ["cast_str"], "tokens": 179}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def cast_str(*args: CastType, value: Optional[CastType] = None) -> Any:\n    value = _normalize_cast_value(*args, value=value)\n    if isinstance(value, QuotedString):\n        return cast_str(value.text)\n    if isinstance(value, dict):\n        return apply_to_dict_values(value, cast_str)\n    if isinstance(value, list):\n        return list(map(cast_str, value))\n    elif isinstance(value, ChoiceSweep):\n        return cast_choice(value, cast_str)\n    elif isinstance(value, RangeSweep):\n        return cast_range(value, cast_str)\n    elif isinstance(value, IntervalSweep):\n        raise ValueError(\"Intervals cannot be cast to str\")\n\n    assert isinstance(value, (int, float, bool, str))\n    if isinstance(value, bool):\n        return str(value).lower()\n    else:\n        return str(value)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_cast_bool_cast_bool.return.bool_value_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_cast_bool_cast_bool.return.bool_value_", "embedding": null, "metadata": {"file_path": "hydra/_internal/grammar/grammar_functions.py", "file_name": "grammar_functions.py", "file_type": "text/x-python", "category": "implementation", "start_line": 141, "end_line": 163, "span_ids": ["cast_bool"], "tokens": 197}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def cast_bool(*args: CastType, value: Optional[CastType] = None) -> Any:\n    value = _normalize_cast_value(*args, value=value)\n    if isinstance(value, QuotedString):\n        return cast_bool(value.text)\n    if isinstance(value, dict):\n        return apply_to_dict_values(value, cast_bool)\n    if isinstance(value, list):\n        return list(map(cast_bool, value))\n    elif isinstance(value, ChoiceSweep):\n        return cast_choice(value, cast_bool)\n    elif isinstance(value, RangeSweep):\n        return cast_range(value, cast_bool)\n    elif isinstance(value, IntervalSweep):\n        raise ValueError(\"Intervals cannot be cast to bool\")\n\n    if isinstance(value, str):\n        if value.lower() == \"false\":\n            return False\n        elif value.lower() == \"true\":\n            return True\n        else:\n            raise ValueError(f\"Cannot cast '{value}' to bool\")\n    return bool(value)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_choice_choice._type_ignore": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_choice_choice._type_ignore", "embedding": null, "metadata": {"file_path": "hydra/_internal/grammar/grammar_functions.py", "file_name": "grammar_functions.py", "file_type": "text/x-python", "category": "implementation", "start_line": 167, "end_line": 184, "span_ids": ["choice"], "tokens": 136}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def choice(\n    *args: Union[str, int, float, bool, Dict[Any, Any], List[Any], ChoiceSweep]\n) -> ChoiceSweep:\n    \"\"\"\n    A choice sweep over the specified values\n    \"\"\"\n    if len(args) == 0:\n        raise ValueError(\"empty choice is not legal\")\n    if len(args) == 1:\n        first = args[0]\n        if isinstance(first, ChoiceSweep):\n            if first.simple_form:\n                first.simple_form = False\n                return first\n            else:\n                raise ValueError(\"nesting choices is not supported\")\n\n    return ChoiceSweep(list=list(args))  # type: ignore", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_shuffle_shuffle.if_len_args_1_.else_.return.simple_choice": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_shuffle_shuffle.if_len_args_1_.else_.return.simple_choice", "embedding": null, "metadata": {"file_path": "hydra/_internal/grammar/grammar_functions.py", "file_name": "grammar_functions.py", "file_type": "text/x-python", "category": "implementation", "start_line": 236, "end_line": 264, "span_ids": ["shuffle"], "tokens": 206}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def shuffle(\n    *args: Union[ElementType, ChoiceSweep, RangeSweep],\n    sweep: Optional[Union[ChoiceSweep, RangeSweep]] = None,\n    list: Optional[List[Any]] = None,\n) -> Union[List[Any], ChoiceSweep, RangeSweep]:\n    \"\"\"\n    Shuffle input list or sweep (does not support interval)\n    \"\"\"\n    if list is not None:\n        return shuffle(list)\n    if sweep is not None:\n        return shuffle(sweep)\n\n    if len(args) == 1:\n        arg = args[0]\n        if isinstance(arg, (ChoiceSweep, RangeSweep)):\n            sweep = copy(arg)\n            sweep.shuffle = True\n            return sweep\n        if isinstance(arg, builtins.list):\n            lst = copy(arg)\n            random.shuffle(lst)\n            return lst\n        else:\n            return [arg]\n    else:\n        simple_choice = _list_to_simple_choice(*args)\n        simple_choice.shuffle = True\n        return simple_choice", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_sort_sort.if_len_args_1_.else_.if_len_args_0_.elif_len_args_1_.return._sort_sweep_cw_reverse_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_sort_sort.if_len_args_1_.else_.if_len_args_0_.elif_len_args_1_.return._sort_sweep_cw_reverse_", "embedding": null, "metadata": {"file_path": "hydra/_internal/grammar/grammar_functions.py", "file_name": "grammar_functions.py", "file_type": "text/x-python", "category": "implementation", "start_line": 267, "end_line": 304, "span_ids": ["sort"], "tokens": 308}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def sort(\n    *args: Union[ElementType, ChoiceSweep, RangeSweep],\n    sweep: Optional[Union[ChoiceSweep, RangeSweep]] = None,\n    list: Optional[List[Any]] = None,\n    reverse: bool = False,\n) -> Any:\n    \"\"\"\n    Sort an input list or sweep.\n    reverse=True reverses the order\n    \"\"\"\n\n    if list is not None:\n        return sort(list, reverse=reverse)\n    if sweep is not None:\n        return _sort_sweep(sweep, reverse)\n\n    if len(args) == 1:\n        arg = args[0]\n        if isinstance(arg, (ChoiceSweep, RangeSweep)):\n            # choice: sort(choice(a,b,c))\n            # range: sort(range(1,10))\n            return _sort_sweep(arg, reverse)\n        elif isinstance(arg, builtins.list):\n            return sorted(arg, reverse=reverse)\n        elif is_type_matching(arg, ParsedElementType):\n            return arg\n        else:\n            raise TypeError(f\"Invalid arguments: {args}\")\n    else:\n        primitives = (int, float, bool, str)\n        for arg in args:\n            if not isinstance(arg, primitives):\n                raise TypeError(f\"Invalid arguments: {args}\")\n        if len(args) == 0:\n            raise ValueError(\"empty sort input\")\n        elif len(args) > 1:\n            cw = _list_to_simple_choice(*args)\n            return _sort_sweep(cw, reverse)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py__sort_sweep__sort_sweep.if_isinstance_sweep_Choi.else_.assert_False": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py__sort_sweep__sort_sweep.if_isinstance_sweep_Choi.else_.assert_False", "embedding": null, "metadata": {"file_path": "hydra/_internal/grammar/grammar_functions.py", "file_name": "grammar_functions.py", "file_type": "text/x-python", "category": "implementation", "start_line": 306, "end_line": 336, "span_ids": ["_sort_sweep"], "tokens": 242}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _sort_sweep(\n    sweep: Union[ChoiceSweep, RangeSweep], reverse: bool\n) -> Union[ChoiceSweep, RangeSweep]:\n    sweep = copy(sweep)\n\n    if isinstance(sweep, ChoiceSweep):\n        # sorted will raise an error if types cannot be compared\n        sweep.list = sorted(sweep.list, reverse=reverse)  # type: ignore\n        return sweep\n    elif isinstance(sweep, RangeSweep):\n        assert sweep.start is not None\n        assert sweep.stop is not None\n        if not reverse:\n            # ascending\n            if sweep.start > sweep.stop:\n                start = sweep.stop + abs(sweep.step)\n                stop = sweep.start + abs(sweep.step)\n                sweep.start = start\n                sweep.stop = stop\n                sweep.step = -sweep.step\n        else:\n            # descending\n            if sweep.start < sweep.stop:\n                start = sweep.stop - abs(sweep.step)\n                stop = sweep.start - abs(sweep.step)\n                sweep.start = start\n                sweep.stop = stop\n                sweep.step = -sweep.step\n        return sweep\n    else:\n        assert False", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_glob_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_glob_", "embedding": null, "metadata": {"file_path": "hydra/_internal/grammar/grammar_functions.py", "file_name": "grammar_functions.py", "file_type": "text/x-python", "category": "implementation", "start_line": 339, "end_line": 357, "span_ids": ["glob"], "tokens": 147}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def glob(\n    include: Union[List[str], str], exclude: Optional[Union[List[str], str]] = None\n) -> Glob:\n    \"\"\"\n    A glob selects from all options in the config group.\n    inputs are in glob format. e.g: *, foo*, *foo.\n    :param include: a string or a list of strings to use as include globs\n    :param exclude: a string or a list of strings to use as exclude globs\n    \"\"\"\n\n    if isinstance(include, str):\n        include = [include]\n    if exclude is None:\n        exclude = []\n    elif isinstance(exclude, str):\n        exclude = [exclude]\n\n    return Glob(include=include, exclude=exclude)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_copy_log.None": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_copy_log.None", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 37, "span_ids": ["docstring"], "tokens": 265}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import copy\nimport logging\nimport string\nimport sys\nfrom argparse import ArgumentParser\nfrom collections import defaultdict\nfrom typing import Any, Callable, DefaultDict, List, Optional, Sequence, Type, Union\n\nfrom omegaconf import Container, DictConfig, OmegaConf, flag_override\n\nfrom hydra._internal.utils import get_column_widths, run_and_report\nfrom hydra.core.config_loader import ConfigLoader\nfrom hydra.core.config_search_path import ConfigSearchPath\nfrom hydra.core.hydra_config import HydraConfig\nfrom hydra.core.plugins import Plugins\nfrom hydra.core.utils import (\n    JobReturn,\n    JobRuntime,\n    configure_log,\n    run_job,\n    setup_globals,\n    simple_stdout_log_config,\n)\nfrom hydra.plugins.completion_plugin import CompletionPlugin\nfrom hydra.plugins.config_source import ConfigSource\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.plugins.search_path_plugin import SearchPathPlugin\nfrom hydra.plugins.sweeper import Sweeper\nfrom hydra.types import HydraContext, RunMode, TaskFunction\n\nfrom ..core.default_element import DefaultsTreeNode, InputDefault\nfrom .callbacks import Callbacks\nfrom .config_loader_impl import ConfigLoaderImpl\nfrom .utils import create_automatic_config_search_path\n\nlog: Optional[logging.Logger] = None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.get_shell_to_plugin_map_Hydra.get_shell_to_plugin_map.return.shell_to_plugin": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.get_shell_to_plugin_map_Hydra.get_shell_to_plugin_map.return.shell_to_plugin", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 199, "end_line": 214, "span_ids": ["Hydra.get_shell_to_plugin_map"], "tokens": 151}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    @staticmethod\n    def get_shell_to_plugin_map(\n        config_loader: ConfigLoader,\n    ) -> DefaultDict[str, List[CompletionPlugin]]:\n        shell_to_plugin: DefaultDict[str, List[CompletionPlugin]] = defaultdict(list)\n        for clazz in Plugins.instance().discover(CompletionPlugin):\n            assert issubclass(clazz, CompletionPlugin)\n            plugin = clazz(config_loader)\n            shell_to_plugin[plugin.provides()].append(plugin)\n\n        for shell, plugins in shell_to_plugin.items():\n            if len(plugins) > 1:\n                lst = \",\".join([type(plugin).__name__ for plugin in plugins])\n                raise ValueError(f\"Multiple plugins installed for {shell} : {lst}\")\n\n        return shell_to_plugin", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.format_args_help_Hydra.list_all_config_groups.return.groups": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.format_args_help_Hydra.list_all_config_groups.return.groups", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 245, "end_line": 272, "span_ids": ["Hydra.list_all_config_groups", "Hydra.format_args_help"], "tokens": 235}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    @staticmethod\n    def format_args_help(args_parser: ArgumentParser) -> str:\n        s = \"\"\n        overrides: Any = None\n        for action in args_parser._actions:\n            if len(action.option_strings) == 0:\n                overrides = action\n            else:\n                s += f\"{','.join(action.option_strings)} : {action.help}\\n\"\n        s += \"Overrides : \" + overrides.help\n        return s\n\n    def list_all_config_groups(self, parent: str = \"\") -> Sequence[str]:\n        from hydra.core.object_type import ObjectType\n\n        groups: List[str] = []\n        for group in self.config_loader.list_groups(parent):\n            if parent == \"\":\n                group_name = group\n            else:\n                group_name = \"{}/{}\".format(parent, group)\n            files = self.config_loader.get_group_options(group_name, ObjectType.CONFIG)\n            dirs = self.config_loader.get_group_options(group_name, ObjectType.GROUP)\n            if len(files) > 0:\n                groups.append(group_name)\n            if len(dirs) > 0:\n                groups.extend(self.list_all_config_groups(group_name))\n        return groups", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.format_config_groups_Hydra.format_config_groups.return.s": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.format_config_groups_Hydra.format_config_groups.return.s", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 274, "end_line": 289, "span_ids": ["Hydra.format_config_groups"], "tokens": 138}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    def format_config_groups(\n        self, predicate: Callable[[str], bool], compact: bool = True\n    ) -> str:\n        groups = [x for x in self.list_all_config_groups() if predicate(x)]\n        s = \"\"\n        for group in sorted(groups):\n            options = sorted(self.config_loader.get_group_options(group))\n            if compact:\n                items = \", \".join(options)\n                line = \"{}: {}\".format(group, items)\n            else:\n                items = \"\\n\".join([\"  \" + o for o in options])\n                line = \"{}:\\n{}\".format(group, items)\n            s += line + \"\\n\"\n\n        return s", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.get_help_Hydra.get_help.return.help_text": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.get_help_Hydra.get_help.return.help_text", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 302, "end_line": 323, "span_ids": ["Hydra.get_help"], "tokens": 172}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    def get_help(\n        self,\n        help_cfg: DictConfig,\n        cfg: DictConfig,\n        args_parser: ArgumentParser,\n        resolve: bool,\n    ) -> str:\n        s = string.Template(help_cfg.template)\n\n        def is_hydra_group(x: str) -> bool:\n            return x.startswith(\"hydra/\") or x == \"hydra\"\n\n        def is_not_hydra_group(x: str) -> bool:\n            return not is_hydra_group(x)\n\n        help_text = s.substitute(\n            FLAGS_HELP=self.format_args_help(args_parser),\n            HYDRA_CONFIG_GROUPS=self.format_config_groups(is_hydra_group),\n            APP_CONFIG_GROUPS=self.format_config_groups(is_not_hydra_group),\n            CONFIG=OmegaConf.to_yaml(cfg, resolve=resolve),\n        )\n        return help_text", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.hydra_help_Hydra.hydra_help.print_help_text_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.hydra_help_Hydra.hydra_help.print_help_text_", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 325, "end_line": 337, "span_ids": ["Hydra.hydra_help"], "tokens": 114}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    def hydra_help(\n        self, config_name: Optional[str], args_parser: ArgumentParser, args: Any\n    ) -> None:\n        cfg = self.compose_config(\n            config_name=None,\n            overrides=args.overrides,\n            run_mode=RunMode.RUN,\n            with_log_configuration=True,\n        )\n        help_cfg = cfg.hydra.hydra_help\n        cfg = self.get_sanitized_hydra_cfg(cfg)\n        help_text = self.get_help(help_cfg, cfg, args_parser, resolve=False)\n        print(help_text)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.app_help_Hydra._log_footer.log_debug_prefix_lju": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.app_help_Hydra._log_footer.log_debug_prefix_lju", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 331, "end_line": 359, "span_ids": ["Hydra.app_help", "Hydra._log_header", "Hydra._log_footer"], "tokens": 238}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    def app_help(\n        self, config_name: Optional[str], args_parser: ArgumentParser, args: Any\n    ) -> None:\n        cfg = self.compose_config(\n            config_name=config_name,\n            overrides=args.overrides,\n            run_mode=RunMode.RUN,\n            with_log_configuration=True,\n        )\n        HydraConfig.instance().set_config(cfg)\n        help_cfg = cfg.hydra.help\n        clean_cfg = copy.deepcopy(cfg)\n\n        clean_cfg = self.get_sanitized_cfg(clean_cfg, \"job\")\n        help_text = self.get_help(\n            help_cfg, clean_cfg, args_parser, resolve=args.resolve\n        )\n        print(help_text)\n\n    @staticmethod\n    def _log_header(header: str, prefix: str = \"\", filler: str = \"-\") -> None:\n        assert log is not None\n        log.debug(prefix + header)\n        log.debug(prefix + \"\".ljust(len(header), filler))\n\n    @staticmethod\n    def _log_footer(header: str, prefix: str = \"\", filler: str = \"-\") -> None:\n        assert log is not None\n        log.debug(prefix + \"\".ljust(len(header), filler))", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra._print_plugins_Hydra._print_plugins.if_len_all_plugins_0_.for_plugin_name_in_all_pl.log_debug_t_t_format": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra._print_plugins_Hydra._print_plugins.if_len_all_plugins_0_.for_plugin_name_in_all_pl.log_debug_t_t_format", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 351, "end_line": 374, "span_ids": ["Hydra._print_plugins"], "tokens": 213}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    def _print_plugins(self) -> None:\n        assert log is not None\n        self._log_header(header=\"Installed Hydra Plugins\", filler=\"*\")\n        all_plugins = {p.__name__ for p in Plugins.instance().discover()}\n        for plugin_type in [\n            ConfigSource,\n            CompletionPlugin,\n            Launcher,\n            Sweeper,\n            SearchPathPlugin,\n        ]:\n            # Mypy false positive?\n            plugins = Plugins.instance().discover(plugin_type)  # type: ignore\n            if len(plugins) > 0:\n                Hydra._log_header(header=f\"{plugin_type.__name__}:\", prefix=\"\\t\")\n                for plugin in plugins:\n                    log.debug(\"\\t\\t{}\".format(plugin.__name__))\n                    if plugin.__name__ in all_plugins:\n                        all_plugins.remove(plugin.__name__)\n\n        if len(all_plugins) > 0:\n            Hydra._log_header(header=\"Generic plugins: \", prefix=\"\\t\")\n            for plugin_name in all_plugins:\n                log.debug(\"\\t\\t{}\".format(plugin_name))", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra._print_search_path_Hydra._print_search_path.self__log_footer_header_h": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra._print_search_path_Hydra._print_search_path.self__log_footer_header_h", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 408, "end_line": 447, "span_ids": ["Hydra._print_search_path"], "tokens": 292}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    def _print_search_path(\n        self,\n        config_name: Optional[str],\n        overrides: List[str],\n        run_mode: RunMode = RunMode.RUN,\n    ) -> None:\n        assert log is not None\n        log.debug(\"\")\n        self._log_header(header=\"Config search path\", filler=\"*\")\n\n        box: List[List[str]] = [[\"Provider\", \"Search path\"]]\n\n        cfg = self.compose_config(\n            config_name=config_name,\n            overrides=overrides,\n            run_mode=run_mode,\n            with_log_configuration=False,\n        )\n        HydraConfig.instance().set_config(cfg)\n        cfg = self.get_sanitized_cfg(cfg, cfg_type=\"hydra\")\n\n        sources = cfg.hydra.runtime.config_sources\n\n        for sp in sources:\n            box.append([sp.provider, f\"{sp.schema}://{sp.path}\"])\n\n        provider_pad, search_path_pad = get_column_widths(box)\n        header = \"| {} | {} |\".format(\n            \"Provider\".ljust(provider_pad), \"Search path\".ljust(search_path_pad)\n        )\n        self._log_header(header=header, filler=\"-\")\n\n        for source in sources:\n            log.debug(\n                \"| {} | {} |\".format(\n                    source.provider.ljust(provider_pad),\n                    f\"{source.schema}://{source.path}\".ljust(search_path_pad),\n                )\n            )\n        self._log_footer(header=header, filler=\"-\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra._print_plugins_profiling_info_Hydra._print_plugins_profiling_info.self__log_footer_header_h": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra._print_plugins_profiling_info_Hydra._print_plugins_profiling_info.self__log_footer_header_h", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 441, "end_line": 475, "span_ids": ["Hydra._print_plugins_profiling_info"], "tokens": 335}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    def _print_plugins_profiling_info(self, top_n: int) -> None:\n        assert log is not None\n        stats = Plugins.instance().get_stats()\n        if stats is None:\n            return\n\n        items = list(stats.modules_import_time.items())\n        # hide anything that took less than 5ms\n        filtered = filter(lambda x: x[1] > 0.0005, items)\n        sorted_items = sorted(filtered, key=lambda x: x[1], reverse=True)\n\n        top_n = max(len(sorted_items), top_n)\n        box: List[List[str]] = [[\"Module\", \"Sec\"]]\n\n        for item in sorted_items[0:top_n]:\n            box.append([item[0], f\"{item[1]:.3f}\"])\n        padding = get_column_widths(box)\n\n        log.debug(\"\")\n        self._log_header(header=\"Profiling information\", filler=\"*\")\n        self._log_header(\n            header=f\"Total plugins scan time : {stats.total_time:.3f} seconds\",\n            filler=\"-\",\n        )\n\n        header = f\"| {box[0][0].ljust(padding[0])} | {box[0][1].ljust(padding[1])} |\"\n        self._log_header(header=header, filler=\"-\")\n        del box[0]\n\n        for row in box:\n            a = row[0].ljust(padding[0])\n            b = row[1].ljust(padding[1])\n            log.debug(f\"| {a} | {b} |\")\n\n        self._log_footer(header=header, filler=\"-\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra._print_debug_info_Hydra.compose_config.return.cfg": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra._print_debug_info_Hydra.compose_config.return.cfg", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 566, "end_line": 606, "span_ids": ["Hydra._print_debug_info", "Hydra.compose_config"], "tokens": 307}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    def _print_debug_info(\n        self,\n        config_name: Optional[str],\n        overrides: List[str],\n        run_mode: RunMode = RunMode.RUN,\n    ) -> None:\n        assert log is not None\n        if log.isEnabledFor(logging.DEBUG):\n            self._print_all_info(config_name, overrides, run_mode)\n\n    def compose_config(\n        self,\n        config_name: Optional[str],\n        overrides: List[str],\n        run_mode: RunMode,\n        with_log_configuration: bool = False,\n        from_shell: bool = True,\n        validate_sweep_overrides: bool = True,\n    ) -> DictConfig:\n        \"\"\"\n        :param config_name:\n        :param overrides:\n        :param run_mode: compose config for run or for multirun?\n        :param with_log_configuration: True to configure logging subsystem from the loaded config\n        :param from_shell: True if the parameters are passed from the shell. used for more helpful error messages\n        :return:\n        \"\"\"\n\n        cfg = self.config_loader.load_configuration(\n            config_name=config_name,\n            overrides=overrides,\n            run_mode=run_mode,\n            from_shell=from_shell,\n            validate_sweep_overrides=validate_sweep_overrides,\n        )\n        if with_log_configuration:\n            configure_log(cfg.hydra.hydra_logging, cfg.hydra.verbose)\n            global log\n            log = logging.getLogger(__name__)\n            self._print_debug_info(config_name, overrides, run_mode)\n        return cfg", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/sources_registry.py_from_typing_import_Any_D_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/sources_registry.py_from_typing_import_Any_D_", "embedding": null, "metadata": {"file_path": "hydra/_internal/sources_registry.py", "file_name": "sources_registry.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 37, "span_ids": ["SourcesRegistry", "SourcesRegistry.instance", "docstring", "SourcesRegistry.resolve", "SourcesRegistry.register", "SourcesRegistry.__init__"], "tokens": 257}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Any, Dict, Type\n\nfrom hydra.core.singleton import Singleton\nfrom hydra.plugins.config_source import ConfigSource\n\n\nclass SourcesRegistry(metaclass=Singleton):\n    types: Dict[str, Type[ConfigSource]]\n\n    def __init__(self) -> None:\n        self.types = {}\n\n    def register(self, type_: Type[ConfigSource]) -> None:\n        scheme = type_.scheme()\n        if scheme in self.types:\n            if self.types[scheme].__name__ != type_.__name__:\n                raise ValueError(\n                    f\"{scheme} is already registered with a different class\"\n                )\n            else:\n                # Do not replace existing ConfigSource\n                return\n        self.types[scheme] = type_\n\n    def resolve(self, scheme: str) -> Type[ConfigSource]:\n        if scheme not in self.types:\n            supported = \", \".join(sorted(self.types.keys()))\n            raise ValueError(\n                f\"No config source registered for schema {scheme}, supported types : [{supported}]\"\n            )\n        return self.types[scheme]\n\n    @staticmethod\n    def instance(*args: Any, **kwargs: Any) -> \"SourcesRegistry\":\n        return Singleton.instance(SourcesRegistry, *args, **kwargs)  # type: ignore", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_argparse__get_module_name_override.return.None": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_argparse__get_module_name_override.return.None", "embedding": null, "metadata": {"file_path": "hydra/_internal/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 34, "span_ids": ["_get_module_name_override", "docstring"], "tokens": 230}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import argparse\nimport inspect\nimport logging.config\nimport os\nimport sys\nimport warnings\nfrom dataclasses import dataclass\nfrom os.path import dirname, join, normpath, realpath\nfrom traceback import print_exc, print_exception\nfrom types import FrameType, TracebackType\nfrom typing import Any, List, Optional, Sequence, Tuple\n\nfrom omegaconf.errors import OmegaConfBaseException\n\nfrom hydra._internal.config_search_path_impl import ConfigSearchPathImpl\nfrom hydra.core.config_search_path import ConfigSearchPath, SearchPathQuery\nfrom hydra.core.utils import get_valid_filename, validate_config_path\nfrom hydra.errors import (\n    CompactHydraException,\n    InstantiationException,\n    SearchPathException,\n)\nfrom hydra.types import RunMode, TaskFunction\n\nlog = logging.getLogger(__name__)\n\n\ndef _get_module_name_override() -> Optional[str]:\n    module_envs = [\"HYDRA_MAIN_MODULE\", \"FB_PAR_MAIN_MODULE\", \"FB_XAR_MAIN_MODULE\"]\n    for module_env in module_envs:\n        if module_env in os.environ:\n            return os.environ[module_env]\n    return None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_detect_calling_file_or_module_from_task_function_detect_calling_file_or_module_from_task_function.return.calling_file_calling_mod": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_detect_calling_file_or_module_from_task_function_detect_calling_file_or_module_from_task_function.return.calling_file_calling_mod", "embedding": null, "metadata": {"file_path": "hydra/_internal/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 37, "end_line": 58, "span_ids": ["detect_calling_file_or_module_from_task_function"], "tokens": 134}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def detect_calling_file_or_module_from_task_function(\n    task_function: Any,\n) -> Tuple[Optional[str], Optional[str]]:\n\n    mdl = task_function.__module__\n    override = _get_module_name_override()\n    if override is not None:\n        mdl = override\n\n    calling_file: Optional[str]\n    calling_module: Optional[str]\n    if mdl not in (None, \"__main__\"):\n        calling_file = None\n        calling_module = mdl\n    else:\n        try:\n            calling_file = inspect.getfile(task_function)\n        except TypeError:\n            calling_file = None\n        calling_module = None\n\n    return calling_file, calling_module", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_detect_calling_file_or_module_from_stack_frame_detect_calling_file_or_module_from_stack_frame.return.calling_file_calling_mod": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_detect_calling_file_or_module_from_stack_frame_detect_calling_file_or_module_from_stack_frame.return.calling_file_calling_mod", "embedding": null, "metadata": {"file_path": "hydra/_internal/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 72, "end_line": 95, "span_ids": ["detect_calling_file_or_module_from_stack_frame"], "tokens": 188}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def detect_calling_file_or_module_from_stack_frame(\n    stack_depth: int,\n) -> Tuple[Optional[str], Optional[str]]:\n\n    stack = inspect.stack()\n    frame = stack[stack_depth]\n    if is_notebook() and \"_dh\" in frame[0].f_globals:\n        pynb_dir = frame[0].f_globals[\"_dh\"][0]\n        calling_file = join(pynb_dir, \"notebook.ipynb\")\n        return calling_file, None\n\n    calling_file = frame.filename\n    calling_module = None\n    try:\n        calling_module = _get_module_name_override()\n        if calling_module is None:\n            calling_module = frame[0].f_globals[frame[3]].__module__\n    except KeyError:\n        try:\n            calling_module = frame[0].f_locals[\"self\"].__module__\n        except KeyError:\n            pass\n\n    return calling_file, calling_module", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_is_notebook_detect_task_name.return.task_name": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_is_notebook_detect_task_name.return.task_name", "embedding": null, "metadata": {"file_path": "hydra/_internal/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 98, "end_line": 125, "span_ids": ["is_notebook", "detect_task_name"], "tokens": 203}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def is_notebook() -> bool:\n    try:\n        shell = get_ipython().__class__.__name__  # type: ignore\n        if shell == \"ZMQInteractiveShell\":\n            return True  # Jupyter notebook or qtconsole\n        elif shell == \"TerminalInteractiveShell\":\n            return False  # Terminal running IPython\n        else:\n            return False  # Other type (?)\n    except NameError:\n        return False\n\n\ndef detect_task_name(calling_file: Optional[str], calling_module: Optional[str]) -> str:\n\n    if calling_file is not None:\n        target_file = os.path.basename(calling_file)\n        task_name = get_valid_filename(os.path.splitext(target_file)[0])\n    elif calling_module is not None:\n        last_dot = calling_module.rfind(\".\")\n        if last_dot != -1:\n            task_name = calling_module[last_dot + 1 :]\n        else:\n            task_name = calling_module\n    else:\n        raise ValueError()\n\n    return task_name", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_compute_search_path_dir_compute_search_path_dir.return.search_path_dir": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_compute_search_path_dir_compute_search_path_dir.return.search_path_dir", "embedding": null, "metadata": {"file_path": "hydra/_internal/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 116, "end_line": 157, "span_ids": ["compute_search_path_dir"], "tokens": 279}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def compute_search_path_dir(\n    calling_file: Optional[str],\n    calling_module: Optional[str],\n    config_path: Optional[str],\n) -> Optional[str]:\n    if calling_file is not None:\n        abs_base_dir = realpath(dirname(calling_file))\n\n        if config_path is not None:\n            search_path_dir = join(abs_base_dir, config_path)\n        else:\n            return None\n\n        search_path_dir = normpath(search_path_dir)\n    elif calling_module is not None:\n        last_dot = calling_module.rfind(\".\")\n        if last_dot != -1:\n            calling_module = calling_module[0:last_dot]\n        else:\n            calling_module = \"\"\n\n        if config_path is not None:\n            config_path = config_path.replace(os.path.sep, \"/\")\n            while str.startswith(config_path, \"../\"):\n                config_path = config_path[len(\"../\") :]\n                last_dot = calling_module.rfind(\".\")\n                if last_dot != -1:\n                    calling_module = calling_module[0:last_dot]\n                else:\n                    calling_module = \"\"\n\n        search_path_dir = \"pkg://\" + calling_module\n\n        if config_path is not None:\n            if calling_module != \"\":\n                search_path_dir = search_path_dir + \"/\" + config_path\n            else:\n                search_path_dir = search_path_dir + config_path\n    else:\n        raise ValueError()\n\n    return search_path_dir", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_run_and_report_run_and_report.try_.except_Exception_as_ex_.sys_exit_1_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_run_and_report_run_and_report.try_.except_Exception_as_ex_.sys_exit_1_", "embedding": null, "metadata": {"file_path": "hydra/_internal/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 211, "end_line": 297, "span_ids": ["run_and_report"], "tokens": 673}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def run_and_report(func: Any) -> Any:\n    try:\n        return func()\n    except Exception as ex:\n        if _is_env_set(\"HYDRA_FULL_ERROR\") or is_under_debugger():\n            raise ex\n        else:\n            try:\n                if isinstance(ex, CompactHydraException):\n                    sys.stderr.write(str(ex) + os.linesep)\n                    if isinstance(ex.__cause__, OmegaConfBaseException):\n                        sys.stderr.write(str(ex.__cause__) + os.linesep)\n                else:\n                    # Custom printing that strips the Hydra related stack frames from the top\n                    # And any omegaconf frames from the bottom.\n                    # It is possible to add additional libraries to sanitize from the bottom later,\n                    # maybe even make it configurable.\n\n                    tb = ex.__traceback__\n                    search_max = 10\n                    # strip Hydra frames from start of stack\n                    # will strip until it hits run_job()\n                    while search_max > 0:\n                        if tb is None:\n                            break\n                        frame = tb.tb_frame\n                        tb = tb.tb_next\n                        search_max = search_max - 1\n                        if inspect.getframeinfo(frame).function == \"run_job\":\n                            break\n\n                    if search_max == 0 or tb is None:\n                        # could not detect run_job, probably a runtime exception before we got there.\n                        # do not sanitize the stack trace.\n                        print_exc()\n                        sys.exit(1)\n\n                    # strip OmegaConf frames from bottom of stack\n                    end: Optional[TracebackType] = tb\n                    num_frames = 0\n                    while end is not None:\n                        frame = end.tb_frame\n                        mdl = inspect.getmodule(frame)\n                        assert mdl is not None\n                        name = mdl.__name__\n                        if name.startswith(\"omegaconf.\"):\n                            break\n                        end = end.tb_next\n                        num_frames = num_frames + 1\n\n                    @dataclass\n                    class FakeTracebackType:\n                        tb_next: Any = None  # Optional[\"FakeTracebackType\"]\n                        tb_frame: Optional[FrameType] = None\n                        tb_lasti: Optional[int] = None\n                        tb_lineno: Optional[int] = None\n\n                    iter_tb = tb\n                    final_tb = FakeTracebackType()\n                    cur = final_tb\n                    added = 0\n                    while True:\n                        cur.tb_lasti = iter_tb.tb_lasti\n                        cur.tb_lineno = iter_tb.tb_lineno\n                        cur.tb_frame = iter_tb.tb_frame\n\n                        if added == num_frames - 1:\n                            break\n                        added = added + 1\n                        cur.tb_next = FakeTracebackType()\n                        cur = cur.tb_next\n                        assert iter_tb.tb_next is not None\n                        iter_tb = iter_tb.tb_next\n\n                    print_exception(None, value=ex, tb=final_tb)  # type: ignore\n                sys.stderr.write(\n                    \"\\nSet the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.\\n\"\n                )\n            except Exception as ex2:\n                sys.stderr.write(\n                    \"An error occurred during Hydra's exception formatting:\"\n                    + os.linesep\n                    + repr(ex2)\n                    + os.linesep\n                )\n                raise ex\n        sys.exit(1)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py__run_hydra__run_hydra.try_.finally_.GlobalHydra_instance_cl": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py__run_hydra__run_hydra.try_.finally_.GlobalHydra_instance_cl", "embedding": null, "metadata": {"file_path": "hydra/_internal/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 300, "end_line": 422, "span_ids": ["_run_hydra"], "tokens": 800}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _run_hydra(\n    args: argparse.Namespace,\n    args_parser: argparse.ArgumentParser,\n    task_function: TaskFunction,\n    config_path: Optional[str],\n    config_name: Optional[str],\n    caller_stack_depth: int = 2,\n) -> None:\n\n    from hydra.core.global_hydra import GlobalHydra\n\n    from .hydra import Hydra\n\n    if args.config_name is not None:\n        config_name = args.config_name\n\n    if args.config_path is not None:\n        config_path = args.config_path\n\n    (\n        calling_file,\n        calling_module,\n    ) = detect_calling_file_or_module_from_task_function(task_function)\n    if calling_file is None and calling_module is None:\n        (\n            calling_file,\n            calling_module,\n        ) = detect_calling_file_or_module_from_stack_frame(caller_stack_depth + 1)\n    task_name = detect_task_name(calling_file, calling_module)\n\n    validate_config_path(config_path)\n\n    search_path = create_automatic_config_search_path(\n        calling_file, calling_module, config_path\n    )\n\n    def add_conf_dir() -> None:\n        if args.config_dir is not None:\n            abs_config_dir = os.path.abspath(args.config_dir)\n            if not os.path.isdir(abs_config_dir):\n                raise SearchPathException(\n                    f\"Additional config directory '{abs_config_dir}' not found\"\n                )\n            search_path.prepend(\n                provider=\"command-line\",\n                path=f\"file://{abs_config_dir}\",\n                anchor=SearchPathQuery(provider=\"schema\"),\n            )\n\n    run_and_report(add_conf_dir)\n    hydra = run_and_report(\n        lambda: Hydra.create_main_hydra2(\n            task_name=task_name, config_search_path=search_path\n        )\n    )\n\n    try:\n        if args.help:\n            hydra.app_help(config_name=config_name, args_parser=args_parser, args=args)\n            sys.exit(0)\n        has_show_cfg = args.cfg is not None\n        if args.resolve and (not has_show_cfg and not args.help):\n            raise ValueError(\n                \"The --resolve flag can only be used in conjunction with --cfg or --help\"\n            )\n        if args.hydra_help:\n            hydra.hydra_help(\n                config_name=config_name, args_parser=args_parser, args=args\n            )\n            sys.exit(0)\n\n        num_commands = (\n            args.run\n            + has_show_cfg\n            + args.multirun\n            + args.shell_completion\n            + (args.info is not None)\n        )\n        if num_commands > 1:\n            raise ValueError(\n                \"Only one of --run, --multirun, --cfg, --info and --shell_completion can be specified\"\n            )\n        if num_commands == 0:\n            args.run = True\n\n        overrides = args.overrides\n\n        if args.run or args.multirun:\n            run_mode = hydra.get_mode(config_name=config_name, overrides=overrides)\n            _run_app(\n                run=args.run,\n                multirun=args.multirun,\n                mode=run_mode,\n                hydra=hydra,\n                config_name=config_name,\n                task_function=task_function,\n                overrides=overrides,\n            )\n        elif args.cfg:\n            run_and_report(\n                lambda: hydra.show_cfg(\n                    config_name=config_name,\n                    overrides=args.overrides,\n                    cfg_type=args.cfg,\n                    package=args.package,\n                    resolve=args.resolve,\n                )\n            )\n        elif args.shell_completion:\n            run_and_report(\n                lambda: hydra.shell_completion(\n                    config_name=config_name, overrides=args.overrides\n                )\n            )\n        elif args.info:\n            hydra.show_info(\n                args.info, config_name=config_name, overrides=args.overrides\n            )\n        else:\n            sys.stderr.write(\"Command not specified\\n\")\n            sys.exit(1)\n    finally:\n        GlobalHydra.instance().clear()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py__get_exec_command__get_completion_help.return.completion_help": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py__get_exec_command__get_completion_help.return.completion_help", "embedding": null, "metadata": {"file_path": "hydra/_internal/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 411, "end_line": 435, "span_ids": ["_get_exec_command", "_get_completion_help"], "tokens": 218}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _get_exec_command() -> str:\n    if sys.argv[0].endswith(\".py\"):\n        return f\"python {sys.argv[0]}\"\n    else:\n        # Running as an installed app (setuptools entry point)\n        executable = os.path.basename(sys.argv[0])\n        return executable\n\n\ndef _get_completion_help() -> str:\n    from hydra.core.plugins import Plugins\n    from hydra.plugins.completion_plugin import CompletionPlugin\n\n    completion_plugins = Plugins.instance().discover(CompletionPlugin)\n    completion_info: List[str] = []\n    for plugin_cls in completion_plugins:\n        assert issubclass(plugin_cls, CompletionPlugin)\n        for cmd in [\"install\", \"uninstall\"]:\n            head = f\"{plugin_cls.provides().capitalize()} - {cmd.capitalize()}:\"\n            completion_info.append(head)\n            completion_info.append(plugin_cls.help(cmd).format(_get_exec_command()))\n        completion_info.append(\"\")\n\n    completion_help = \"\\n\".join([f\"    {x}\" if x else x for x in completion_info])\n    return completion_help", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_get_args_parser_get_args_parser.return.parser": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_get_args_parser_get_args_parser.return.parser", "embedding": null, "metadata": {"file_path": "hydra/_internal/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 496, "end_line": 590, "span_ids": ["get_args_parser"], "tokens": 603}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def get_args_parser() -> argparse.ArgumentParser:\n    from .. import __version__\n\n    parser = argparse.ArgumentParser(add_help=False, description=\"Hydra\")\n    parser.add_argument(\"--help\", \"-h\", action=\"store_true\", help=\"Application's help\")\n    parser.add_argument(\"--hydra-help\", action=\"store_true\", help=\"Hydra's help\")\n    parser.add_argument(\n        \"--version\",\n        action=\"version\",\n        help=\"Show Hydra's version and exit\",\n        version=f\"Hydra {__version__}\",\n    )\n    parser.add_argument(\n        \"overrides\",\n        nargs=\"*\",\n        help=\"Any key=value arguments to override config values (use dots for.nested=overrides)\",\n    )\n\n    parser.add_argument(\n        \"--cfg\",\n        \"-c\",\n        choices=[\"job\", \"hydra\", \"all\"],\n        help=\"Show config instead of running [job|hydra|all]\",\n    )\n    parser.add_argument(\n        \"--resolve\",\n        action=\"store_true\",\n        help=\"Used in conjunction with --cfg, resolve config interpolations before printing.\",\n    )\n\n    parser.add_argument(\"--package\", \"-p\", help=\"Config package to show\")\n\n    parser.add_argument(\"--run\", \"-r\", action=\"store_true\", help=\"Run a job\")\n\n    parser.add_argument(\n        \"--multirun\",\n        \"-m\",\n        action=\"store_true\",\n        help=\"Run multiple jobs with the configured launcher and sweeper\",\n    )\n\n    # defer building the completion help string until we actually need to render it\n    class LazyCompletionHelp:\n        def __repr__(self) -> str:\n            return f\"Install or Uninstall shell completion:\\n{_get_completion_help()}\"\n\n    parser.add_argument(\n        \"--shell-completion\",\n        \"-sc\",\n        action=\"store_true\",\n        help=LazyCompletionHelp(),  # type: ignore\n    )\n\n    parser.add_argument(\n        \"--config-path\",\n        \"-cp\",\n        help=\"\"\"Overrides the config_path specified in hydra.main().\n                    The config_path is relative to the Python file declaring @hydra.main()\"\"\",\n    )\n\n    parser.add_argument(\n        \"--config-name\",\n        \"-cn\",\n        help=\"Overrides the config_name specified in hydra.main()\",\n    )\n\n    parser.add_argument(\n        \"--config-dir\",\n        \"-cd\",\n        help=\"Adds an additional config dir to the config search path\",\n    )\n\n    parser.add_argument(\n        \"--experimental-rerun\",\n        help=\"Rerun a job from a previous config pickle\",\n    )\n\n    info_choices = [\n        \"all\",\n        \"config\",\n        \"defaults\",\n        \"defaults-tree\",\n        \"plugins\",\n        \"searchpath\",\n    ]\n    parser.add_argument(\n        \"--info\",\n        \"-i\",\n        const=\"all\",\n        nargs=\"?\",\n        action=\"store\",\n        choices=info_choices,\n        help=f\"Print Hydra information [{'|'.join(info_choices)}]\",\n    )\n    return parser", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/conf/__init__.py_from_dataclasses_import_d_OverridesConf.task.field_default_factory_lam": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/conf/__init__.py_from_dataclasses_import_d_OverridesConf.task.field_default_factory_lam", "embedding": null, "metadata": {"file_path": "hydra/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 41, "span_ids": ["RunDir", "OverridesConf", "HydraHelpConf", "HelpConf", "docstring", "SweepDir"], "tokens": 195}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass, field\nfrom typing import Any, Dict, List, Optional\n\nfrom omegaconf import MISSING\n\nfrom hydra.core.config_store import ConfigStore\nfrom hydra.types import RunMode\n\n\n@dataclass\nclass HelpConf:\n    app_name: str = MISSING\n    header: str = MISSING\n    footer: str = MISSING\n    template: str = MISSING\n\n\n@dataclass\nclass HydraHelpConf:\n    hydra_help: str = MISSING\n    template: str = MISSING\n\n\n@dataclass\nclass RunDir:\n    dir: str = MISSING\n\n\n@dataclass\nclass SweepDir:\n    dir: str = MISSING\n    subdir: str = MISSING\n\n\n@dataclass\nclass OverridesConf:\n    # Overrides for the hydra configuration\n    hydra: List[str] = field(default_factory=lambda: [])\n    # Overrides for the task configuration\n    task: List[str] = field(default_factory=lambda: [])", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/conf/__init__.py_HydraConf_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/conf/__init__.py_HydraConf_", "embedding": null, "metadata": {"file_path": "hydra/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 109, "end_line": 185, "span_ids": ["HydraConf", "impl"], "tokens": 571}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass HydraConf:\n    defaults: List[Any] = field(\n        default_factory=lambda: [\n            {\"output\": \"default\"},\n            {\"launcher\": \"basic\"},\n            {\"sweeper\": \"basic\"},\n            {\"help\": \"default\"},\n            {\"hydra_help\": \"default\"},\n            {\"hydra_logging\": \"default\"},\n            {\"job_logging\": \"default\"},\n            {\"callbacks\": None},\n            # env specific overrides\n            {\"env\": \"default\"},\n        ]\n    )\n\n    mode: Optional[RunMode] = None\n    # Elements to append to the config search path.\n    # Note: This can only be configured in the primary config.\n    searchpath: List[str] = field(default_factory=list)\n\n    # Normal run output configuration\n    run: RunDir = RunDir()\n    # Multi-run output configuration\n    sweep: SweepDir = SweepDir()\n    # Logging configuration for Hydra\n    hydra_logging: Dict[str, Any] = MISSING\n    # Logging configuration for the job\n    job_logging: Dict[str, Any] = MISSING\n\n    # Sweeper configuration\n    sweeper: Any = MISSING\n    # Launcher configuration\n    launcher: Any = MISSING\n    # Callbacks configuration\n    callbacks: Dict[str, Any] = field(default_factory=dict)\n\n    # Program Help template\n    help: HelpConf = HelpConf()\n    # Hydra's Help template\n    hydra_help: HydraHelpConf = HydraHelpConf()\n\n    # Output directory for produced configuration files and overrides.\n    # E.g., hydra.yaml, overrides.yaml will go here. Useful for debugging\n    # and extra context when looking at past runs.\n    # Setting to None will prevent the creation of the output subdir.\n    output_subdir: Optional[str] = \".hydra\"\n\n    # Those lists will contain runtime overrides\n    overrides: OverridesConf = OverridesConf()\n\n    job: JobConf = JobConf()\n\n    # populated at runtime\n    runtime: RuntimeConf = RuntimeConf()\n\n    # Can be a boolean, string or a list of strings\n    # If a boolean, setting to true will set the log level for the root logger to debug\n    # If a string, it's interpreted as a the list [string]\n    # If a list, each element is interpreted as a logger to have logging level set to debug.\n    # Typical command lines to manipulate hydra.verbose:\n    # hydra.verbose=true\n    # hydra.verbose=[hydra,__main__]\n    # TODO: good use case for Union support in OmegaConf\n    verbose: Any = False\n\n\ncs = ConfigStore.instance()\n\ncs.store(\n    group=\"hydra\",\n    name=\"config\",\n    node=HydraConf(),\n    provider=\"hydra\",\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/__init__.py__", "embedding": null, "metadata": {"file_path": "hydra/core/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/config_loader.py_from_abc_import_ABC_abst_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/config_loader.py_from_abc_import_ABC_abst_", "embedding": null, "metadata": {"file_path": "hydra/core/config_loader.py", "file_name": "config_loader.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 61, "span_ids": ["ConfigLoader.get_sources", "ConfigLoader", "ConfigLoader.get_group_options", "ConfigLoader.load_configuration", "ConfigLoader.compute_defaults_list", "ConfigLoader.load_sweep_config", "ConfigLoader.get_search_path", "docstring", "ConfigLoader.list_groups"], "tokens": 306}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from abc import ABC, abstractmethod\nfrom typing import Any, List, Optional\n\nfrom omegaconf import DictConfig\n\nfrom hydra.core.config_search_path import ConfigSearchPath\nfrom hydra.core.object_type import ObjectType\nfrom hydra.plugins.config_source import ConfigSource\nfrom hydra.types import RunMode\n\n\nclass ConfigLoader(ABC):\n    \"\"\"\n    Config loader interface\n    \"\"\"\n\n    @abstractmethod\n    def load_configuration(\n        self,\n        config_name: Optional[str],\n        overrides: List[str],\n        run_mode: RunMode,\n        from_shell: bool = True,\n        validate_sweep_overrides: bool = True,\n    ) -> DictConfig:\n        ...\n\n    @abstractmethod\n    def load_sweep_config(\n        self, master_config: DictConfig, sweep_overrides: List[str]\n    ) -> DictConfig:\n        ...\n\n    @abstractmethod\n    def get_search_path(self) -> ConfigSearchPath:\n        ...\n\n    @abstractmethod\n    def get_sources(self) -> List[ConfigSource]:\n        ...\n\n    @abstractmethod\n    def list_groups(self, parent_name: str) -> List[str]:\n        ...\n\n    @abstractmethod\n    def get_group_options(\n        self, group_name: str, results_filter: Optional[ObjectType] = ObjectType.CONFIG\n    ) -> List[str]:\n        ...\n\n    @abstractmethod\n    def compute_defaults_list(\n        self,\n        config_name: Optional[str],\n        overrides: List[str],\n        run_mode: RunMode,\n    ) -> Any:\n        ...", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/config_search_path.py_from_abc_import_ABC_abst_SearchPathQuery.path.None": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/config_search_path.py_from_abc_import_ABC_abst_SearchPathQuery.path.None", "embedding": null, "metadata": {"file_path": "hydra/core/config_search_path.py", "file_name": "config_search_path.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 26, "span_ids": ["SearchPathElement.__str__", "SearchPathElement", "SearchPathElement.__init__", "SearchPathQuery", "docstring", "SearchPathElement.__repr__"], "tokens": 137}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from abc import ABC, abstractmethod\nfrom dataclasses import dataclass\nfrom typing import MutableSequence, Optional, Union\n\n\nclass SearchPathElement:\n    def __init__(self, provider: str, search_path: str):\n        self.provider = provider\n        self.path = search_path\n\n    def __str__(self) -> str:\n        return repr(self)\n\n    def __repr__(self) -> str:\n        return f\"provider={self.provider}, path={self.path}\"\n\n\n@dataclass\nclass SearchPathQuery:\n    \"\"\"\n    Used in append and prepend API\n    \"\"\"\n\n    provider: Optional[str] = None\n    path: Optional[str] = None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/config_search_path.py_ConfigSearchPath_ConfigSearchPath.append._": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/config_search_path.py_ConfigSearchPath_ConfigSearchPath.append._", "embedding": null, "metadata": {"file_path": "hydra/core/config_search_path.py", "file_name": "config_search_path.py", "file_type": "text/x-python", "category": "implementation", "start_line": 29, "end_line": 46, "span_ids": ["ConfigSearchPath", "ConfigSearchPath.append", "ConfigSearchPath.get_path"], "tokens": 161}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSearchPath(ABC):\n    @abstractmethod\n    def get_path(self) -> MutableSequence[SearchPathElement]:\n        ...\n\n    @abstractmethod\n    def append(\n        self, provider: str, path: str, anchor: Optional[SearchPathQuery] = None\n    ) -> None:\n        \"\"\"\n        Appends to the search path.\n        Note, this currently only takes effect if called before the ConfigRepository is instantiated.\n\n        :param provider: who is providing this search path, can be Hydra,\n               the @hydra.main() function, or individual plugins or libraries.\n        :param path: path element, can be a file system path or a package path (For example pkg://hydra.conf)\n        :param anchor: Optional anchor query to append after\n        \"\"\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/config_search_path.py_ConfigSearchPath.__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/config_search_path.py_ConfigSearchPath.__", "embedding": null, "metadata": {"file_path": "hydra/core/config_search_path.py", "file_name": "config_search_path.py", "file_type": "text/x-python", "category": "implementation", "start_line": 48, "end_line": 68, "span_ids": ["ConfigSearchPath.prepend", "ConfigSearchPath:2", "ConfigSearchPath:3"], "tokens": 152}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSearchPath(ABC):\n\n    ...\n\n    @abstractmethod\n    def prepend(\n        self,\n        provider: str,\n        path: str,\n        anchor: Optional[Union[SearchPathQuery, str]] = None,\n    ) -> None:\n        \"\"\"\n        Prepends to the search path.\n        Note, this currently only takes effect if called before the ConfigRepository is instantiated.\n\n        :param provider: who is providing this search path, can be Hydra,\n               the @hydra.main() function, or individual plugins or libraries.\n        :param path: path element, can be a file system path or a package path (For example pkg://hydra.conf)\n        :param anchor: Optional anchor query to prepend before\n        \"\"\"\n\n    ...", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/config_store.py_copy_ConfigNode.provider": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/config_store.py_copy_ConfigNode.provider", "embedding": null, "metadata": {"file_path": "hydra/core/config_store.py", "file_name": "config_store.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 41, "span_ids": ["ConfigNode", "ConfigStoreWithProvider.store", "ConfigStoreWithProvider.__init__", "ConfigStoreWithProvider.__enter__", "ConfigStoreWithProvider", "ConfigStoreWithProvider.__exit__", "docstring"], "tokens": 237}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import copy\nfrom dataclasses import dataclass\nfrom typing import Any, Dict, List, Optional\n\nfrom omegaconf import DictConfig, OmegaConf\n\nfrom hydra.core.object_type import ObjectType\nfrom hydra.core.singleton import Singleton\nfrom hydra.plugins.config_source import ConfigLoadError\n\n\nclass ConfigStoreWithProvider:\n    def __init__(self, provider: str) -> None:\n        self.provider = provider\n\n    def __enter__(self) -> \"ConfigStoreWithProvider\":\n        return self\n\n    def store(\n        self,\n        name: str,\n        node: Any,\n        group: Optional[str] = None,\n        package: Optional[str] = None,\n    ) -> None:\n        ConfigStore.instance().store(\n            group=group, name=name, node=node, package=package, provider=self.provider\n        )\n\n    def __exit__(self, exc_type: Any, exc_value: Any, exc_traceback: Any) -> Any:\n        ...\n\n\n@dataclass\nclass ConfigNode:\n    name: str\n    node: DictConfig\n    group: Optional[str]\n    package: Optional[str]\n    provider: Optional[str]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/config_store.py_ConfigStore_ConfigStore.store.cur_name_ConfigNode_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/config_store.py_ConfigStore_ConfigStore.store.cur_name_ConfigNode_", "embedding": null, "metadata": {"file_path": "hydra/core/config_store.py", "file_name": "config_store.py", "file_type": "text/x-python", "category": "implementation", "start_line": 44, "end_line": 88, "span_ids": ["ConfigStore.__init__", "ConfigStore:2", "ConfigStore", "ConfigStore.store", "ConfigStore.instance"], "tokens": 333}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigStore(metaclass=Singleton):\n    @staticmethod\n    def instance(*args: Any, **kwargs: Any) -> \"ConfigStore\":\n        return Singleton.instance(ConfigStore, *args, **kwargs)  # type: ignore\n\n    repo: Dict[str, Any]\n\n    def __init__(self) -> None:\n        self.repo = {}\n\n    def store(\n        self,\n        name: str,\n        node: Any,\n        group: Optional[str] = None,\n        package: Optional[str] = None,\n        provider: Optional[str] = None,\n    ) -> None:\n        \"\"\"\n        Stores a config node into the repository\n        :param name: config name\n        :param node: config node, can be DictConfig, ListConfig,\n            Structured configs and even dict and list\n        :param group: config group, subgroup separator is '/',\n            for example hydra/launcher\n        :param package: Config node parent hierarchy.\n            Child separator is '.', for example foo.bar.baz\n        :param provider: the name of the module/app providing this config.\n            Helps debugging.\n        \"\"\"\n\n        cur = self.repo\n        if group is not None:\n            for d in group.split(\"/\"):\n                if d not in cur:\n                    cur[d] = {}\n                cur = cur[d]\n\n        if not name.endswith(\".yaml\"):\n            name = f\"{name}.yaml\"\n        assert isinstance(cur, dict)\n        cfg = OmegaConf.structured(node)\n        cur[name] = ConfigNode(\n            name=name, node=cfg, group=group, package=package, provider=provider\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/config_store.py_ConfigStore.load_ConfigStore._load.if_idx_1_.else_.return.ret": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/config_store.py_ConfigStore.load_ConfigStore._load.if_idx_1_.else_.return.ret", "embedding": null, "metadata": {"file_path": "hydra/core/config_store.py", "file_name": "config_store.py", "file_type": "text/x-python", "category": "implementation", "start_line": 90, "end_line": 122, "span_ids": ["ConfigStore.load", "ConfigStore._load"], "tokens": 263}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigStore(metaclass=Singleton):\n\n    def load(self, config_path: str) -> ConfigNode:\n        ret = self._load(config_path)\n\n        # shallow copy to avoid changing the original stored ConfigNode\n        ret = copy.copy(ret)\n        assert isinstance(ret, ConfigNode)\n        # copy to avoid mutations to config effecting subsequent calls\n        ret.node = copy.deepcopy(ret.node)\n        return ret\n\n    def _load(self, config_path: str) -> ConfigNode:\n        idx = config_path.rfind(\"/\")\n        if idx == -1:\n            ret = self._open(config_path)\n            if ret is None:\n                raise ConfigLoadError(f\"Structured config not found {config_path}\")\n            assert isinstance(ret, ConfigNode)\n            return ret\n        else:\n            path = config_path[0:idx]\n            name = config_path[idx + 1 :]\n            d = self._open(path)\n            if d is None or not isinstance(d, dict):\n                raise ConfigLoadError(f\"Structured config not found {config_path}\")\n\n            if name not in d:\n                raise ConfigLoadError(\n                    f\"Structured config {name} not found in {config_path}\"\n                )\n\n            ret = d[name]\n            assert isinstance(ret, ConfigNode)\n            return ret", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/config_store.py_ConfigStore.get_type_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/config_store.py_ConfigStore.get_type_", "embedding": null, "metadata": {"file_path": "hydra/core/config_store.py", "file_name": "config_store.py", "file_type": "text/x-python", "category": "implementation", "start_line": 124, "end_line": 153, "span_ids": ["ConfigStore.get_type", "ConfigStore.list", "ConfigStore._open"], "tokens": 189}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigStore(metaclass=Singleton):\n\n    def get_type(self, path: str) -> ObjectType:\n        d = self._open(path)\n        if d is None:\n            return ObjectType.NOT_FOUND\n        if isinstance(d, dict):\n            return ObjectType.GROUP\n        else:\n            return ObjectType.CONFIG\n\n    def list(self, path: str) -> List[str]:\n        d = self._open(path)\n        if d is None:\n            raise IOError(f\"Path not found {path}\")\n\n        if not isinstance(d, dict):\n            raise IOError(f\"Path points to a file : {path}\")\n\n        return sorted(d.keys())\n\n    def _open(self, path: str) -> Any:\n        d: Any = self.repo\n        for frag in path.split(\"/\"):\n            if frag == \"\":\n                continue\n            if frag in d:\n                d = d[frag]\n            else:\n                return None\n        return d", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/global_hydra.py_from_typing_import_Any_O_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/global_hydra.py_from_typing_import_Any_O_", "embedding": null, "metadata": {"file_path": "hydra/core/global_hydra.py", "file_name": "global_hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 39, "span_ids": ["GlobalHydra.set_instance", "GlobalHydra.config_loader", "GlobalHydra.__init__", "GlobalHydra", "docstring", "GlobalHydra.is_initialized", "GlobalHydra.instance", "GlobalHydra.initialize", "GlobalHydra.clear"], "tokens": 296}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Any, Optional\n\nfrom hydra._internal.hydra import Hydra\nfrom hydra.core.config_loader import ConfigLoader\nfrom hydra.core.singleton import Singleton\n\n\nclass GlobalHydra(metaclass=Singleton):\n    def __init__(self) -> None:\n        self.hydra: Optional[Hydra] = None\n\n    def initialize(self, hydra: \"Hydra\") -> None:\n        assert isinstance(hydra, Hydra), f\"Unexpected Hydra type : {type(hydra)}\"\n        if self.is_initialized():\n            raise ValueError(\n                \"GlobalHydra is already initialized, call GlobalHydra.instance().clear() if you want to re-initialize\"\n            )\n        self.hydra = hydra\n\n    def config_loader(self) -> \"ConfigLoader\":\n        assert self.hydra is not None\n        return self.hydra.config_loader\n\n    def is_initialized(self) -> bool:\n        return self.hydra is not None\n\n    def clear(self) -> None:\n        self.hydra = None\n\n    @staticmethod\n    def instance(*args: Any, **kwargs: Any) -> \"GlobalHydra\":\n        return Singleton.instance(GlobalHydra, *args, **kwargs)  # type: ignore\n\n    @staticmethod\n    def set_instance(instance: \"GlobalHydra\") -> None:\n        assert isinstance(instance, GlobalHydra)\n        Singleton._instances[GlobalHydra] = instance  # type: ignore", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/hydra_config.py_from_typing_import_Any_O_HydraConfig.set_config.None_6": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/hydra_config.py_from_typing_import_Any_O_HydraConfig.set_config.None_6", "embedding": null, "metadata": {"file_path": "hydra/core/hydra_config.py", "file_name": "hydra_config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 25, "span_ids": ["HydraConfig.__init__", "HydraConfig", "HydraConfig.set_config", "docstring"], "tokens": 242}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Any, Optional\n\nfrom omegaconf import DictConfig, OmegaConf\n\nfrom hydra.conf import HydraConf\nfrom hydra.core.singleton import Singleton\n\n\nclass HydraConfig(metaclass=Singleton):\n    def __init__(self) -> None:\n        self.cfg: Optional[HydraConf] = None\n\n    def set_config(self, cfg: DictConfig) -> None:\n        assert cfg is not None\n        OmegaConf.set_readonly(cfg.hydra, True)\n        hydra_node_type = OmegaConf.get_type(cfg, \"hydra\")\n        assert hydra_node_type is not None and issubclass(hydra_node_type, HydraConf)\n        # THis is emulating a node that is hidden.\n        # It's quiet a hack but it will be much better once\n        # https://github.com/omry/omegaconf/issues/280 is done\n        # The motivation is that this allows for interpolations from the hydra node\n        # into the user's config.\n        self.cfg = OmegaConf.masked_copy(cfg, \"hydra\")  # type: ignore\n        self.cfg.hydra._set_parent(cfg)  # type: ignore", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/hydra_config.py_HydraConfig.get_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/hydra_config.py_HydraConfig.get_", "embedding": null, "metadata": {"file_path": "hydra/core/hydra_config.py", "file_name": "hydra_config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 26, "end_line": 41, "span_ids": ["HydraConfig.instance", "HydraConfig.initialized", "HydraConfig.get"], "tokens": 127}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class HydraConfig(metaclass=Singleton):\n\n    @staticmethod\n    def get() -> HydraConf:\n        instance = HydraConfig.instance()\n        if instance.cfg is None:\n            raise ValueError(\"HydraConfig was not set\")\n        return instance.cfg.hydra  # type: ignore\n\n    @staticmethod\n    def initialized() -> bool:\n        instance = HydraConfig.instance()\n        return instance.cfg is not None\n\n    @staticmethod\n    def instance(*args: Any, **kwargs: Any) -> \"HydraConfig\":\n        return Singleton.instance(HydraConfig, *args, **kwargs)  # type: ignore", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/object_type.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/object_type.py__", "embedding": null, "metadata": {"file_path": "hydra/core/object_type.py", "file_name": "object_type.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 9, "span_ids": ["ObjectType", "docstring"], "tokens": 44}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom enum import Enum\n\n\nclass ObjectType(Enum):\n    NOT_FOUND = 0\n    CONFIG = 1\n    GROUP = 2", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/__init__.py__", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_parser.py_create_functions_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_parser.py_create_functions_", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/overrides_parser.py", "file_name": "overrides_parser.py", "file_type": "text/x-python", "category": "implementation", "start_line": 98, "end_line": 115, "span_ids": ["create_functions"], "tokens": 174}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def create_functions() -> Functions:\n    functions = Functions()\n    # casts\n    functions.register(name=\"int\", func=grammar_functions.cast_int)\n    functions.register(name=\"str\", func=grammar_functions.cast_str)\n    functions.register(name=\"bool\", func=grammar_functions.cast_bool)\n    functions.register(name=\"float\", func=grammar_functions.cast_float)\n    # sweeps\n    functions.register(name=\"choice\", func=grammar_functions.choice)\n    functions.register(name=\"range\", func=grammar_functions.range)\n    functions.register(name=\"interval\", func=grammar_functions.interval)\n    # misc\n    functions.register(name=\"tag\", func=grammar_functions.tag)\n    functions.register(name=\"sort\", func=grammar_functions.sort)\n    functions.register(name=\"shuffle\", func=grammar_functions.shuffle)\n    functions.register(name=\"glob\", func=grammar_functions.glob)\n    return functions", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_visitor.py_sys_try_.except_ModuleNotFoundErro.sys_exit_1_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_visitor.py_sys_try_.except_ModuleNotFoundErro.sys_exit_1_", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/overrides_visitor.py", "file_name": "overrides_visitor.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 36, "span_ids": ["docstring"], "tokens": 220}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import sys\nimport warnings\nfrom typing import Any, Dict, List, Optional, Tuple, Union\n\nfrom antlr4 import ParserRuleContext, TerminalNode, Token\nfrom antlr4.error.ErrorListener import ErrorListener\nfrom antlr4.tree.Tree import TerminalNodeImpl\n\nfrom hydra._internal.grammar.functions import FunctionCall, Functions\nfrom hydra._internal.grammar.utils import _ESC_QUOTED_STR\nfrom hydra.core.override_parser.types import (\n    ChoiceSweep,\n    Glob,\n    IntervalSweep,\n    Key,\n    Override,\n    OverrideType,\n    ParsedElementType,\n    Quote,\n    QuotedString,\n    RangeSweep,\n    ValueType,\n)\nfrom hydra.errors import HydraException\n\ntry:\n    from hydra.grammar.gen.OverrideLexer import OverrideLexer\n    from hydra.grammar.gen.OverrideParser import OverrideParser\n    from hydra.grammar.gen.OverrideParserVisitor import OverrideParserVisitor\n\nexcept ModuleNotFoundError:\n    print(\n        \"Error importing generated parsers, run `python setup.py antlr` to regenerate.\"\n    )\n    sys.exit(1)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_visitor.py_HydraOverrideVisitor.visitOverride_HydraOverrideVisitor.visitOverride.return.Override_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_visitor.py_HydraOverrideVisitor.visitOverride_HydraOverrideVisitor.visitOverride.return.Override_", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/overrides_visitor.py", "file_name": "overrides_visitor.py", "file_type": "text/x-python", "category": "implementation", "start_line": 136, "end_line": 194, "span_ids": ["HydraOverrideVisitor.visitOverride"], "tokens": 437}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class HydraOverrideVisitor(OverrideParserVisitor):\n\n    def visitOverride(self, ctx: OverrideParser.OverrideContext) -> Override:\n        override_type = OverrideType.CHANGE\n        children = ctx.getChildren()\n        first_node = next(children)\n        if isinstance(first_node, TerminalNodeImpl):\n            symbol_text = first_node.symbol.text\n            if symbol_text == \"+\":\n                override_type = OverrideType.ADD\n                key_node = next(children)\n                if self.is_matching_terminal(key_node, OverrideLexer.PLUS):\n                    override_type = OverrideType.FORCE_ADD\n                    key_node = next(children)\n\n            elif symbol_text == \"~\":\n                override_type = OverrideType.DEL\n                key_node = next(children)\n            else:\n                assert False\n        else:\n            key_node = first_node\n\n        key = self.visitKey(key_node)\n        value: Union[ChoiceSweep, RangeSweep, IntervalSweep, ParsedElementType]\n        eq_node = next(children)\n        if (\n            override_type == OverrideType.DEL\n            and isinstance(eq_node, TerminalNode)\n            and eq_node.symbol.type == Token.EOF\n        ):\n            value = None\n            value_type = None\n        else:\n            assert self.is_matching_terminal(eq_node, OverrideLexer.EQUAL)\n            if ctx.value() is None:\n                value = \"\"\n                value_type = ValueType.ELEMENT\n            else:\n                value = self.visitValue(ctx.value())\n                if isinstance(value, ChoiceSweep):\n                    if value.simple_form:\n                        value_type = ValueType.SIMPLE_CHOICE_SWEEP\n                    else:\n                        value_type = ValueType.CHOICE_SWEEP\n                elif isinstance(value, Glob):\n                    value_type = ValueType.GLOB_CHOICE_SWEEP\n                elif isinstance(value, IntervalSweep):\n                    value_type = ValueType.INTERVAL_SWEEP\n                elif isinstance(value, RangeSweep):\n                    value_type = ValueType.RANGE_SWEEP\n                else:\n                    value_type = ValueType.ELEMENT\n\n        return Override(\n            type=override_type,\n            key_or_group=key.key_or_group,\n            _value=value,\n            value_type=value_type,\n            package=key.package,\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_visitor.py_HydraOverrideVisitor.is_matching_terminal_HydraOverrideVisitor.visitSimpleChoiceSweep.return.ChoiceSweep_simple_form_T": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_visitor.py_HydraOverrideVisitor.is_matching_terminal_HydraOverrideVisitor.visitSimpleChoiceSweep.return.ChoiceSweep_simple_form_T", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/overrides_visitor.py", "file_name": "overrides_visitor.py", "file_type": "text/x-python", "category": "implementation", "start_line": 261, "end_line": 272, "span_ids": ["HydraOverrideVisitor.visitSimpleChoiceSweep", "HydraOverrideVisitor.is_matching_terminal"], "tokens": 125}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class HydraOverrideVisitor(OverrideParserVisitor):\n\n    def is_matching_terminal(self, node: Any, symbol_type: int) -> bool:\n        return isinstance(node, TerminalNodeImpl) and node.symbol.type == symbol_type\n\n    def visitSimpleChoiceSweep(\n        self, ctx: OverrideParser.SimpleChoiceSweepContext\n    ) -> ChoiceSweep:\n        ret = []\n        for child in ctx.getChildren(\n            predicate=lambda x: not self.is_matching_terminal(x, OverrideLexer.COMMA)\n        ):\n            ret.append(self.visitElement(child))\n        return ChoiceSweep(simple_form=True, list=ret)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_visitor.py_HydraOverrideVisitor.visitFunction_HydraOverrideVisitor.visitFunction.try_.except_Exception_as_e_.raise_HydraException_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_visitor.py_HydraOverrideVisitor.visitFunction_HydraOverrideVisitor.visitFunction.try_.except_Exception_as_e_.raise_HydraException_", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/overrides_visitor.py", "file_name": "overrides_visitor.py", "file_type": "text/x-python", "category": "implementation", "start_line": 274, "end_line": 306, "span_ids": ["HydraOverrideVisitor.visitFunction"], "tokens": 252}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class HydraOverrideVisitor(OverrideParserVisitor):\n\n    def visitFunction(self, ctx: OverrideParser.FunctionContext) -> Any:\n        args = []\n        kwargs = {}\n        children = ctx.getChildren()\n        func_name = next(children).getText()\n        assert self.is_matching_terminal(next(children), OverrideLexer.POPEN)\n        in_kwargs = False\n        while True:\n            cur = next(children)\n            if self.is_matching_terminal(cur, OverrideLexer.PCLOSE):\n                break\n\n            if isinstance(cur, OverrideParser.ArgNameContext):\n                in_kwargs = True\n                name = cur.getChild(0).getText()\n                cur = next(children)\n                value = self.visitElement(cur)\n                kwargs[name] = value\n            else:\n                if self.is_matching_terminal(cur, OverrideLexer.COMMA):\n                    continue\n                if in_kwargs:\n                    raise HydraException(\"positional argument follows keyword argument\")\n                value = self.visitElement(cur)\n                args.append(value)\n\n        function = FunctionCall(name=func_name, args=args, kwargs=kwargs)\n        try:\n            return self.functions.eval(function)\n        except Exception as e:\n            raise HydraException(\n                f\"{type(e).__name__} while evaluating '{ctx.getText()}': {e}\"\n            ) from e", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_visitor.py_HydraErrorListener_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_visitor.py_HydraErrorListener_", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/overrides_visitor.py", "file_name": "overrides_visitor.py", "file_type": "text/x-python", "category": "implementation", "start_line": 297, "end_line": 354, "span_ids": ["HydraErrorListener.reportAmbiguity", "HydraErrorListener.reportContextSensitivity", "HydraErrorListener.reportAttemptingFullContext", "HydraErrorListener.syntaxError", "HydraErrorListener"], "tokens": 323}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class HydraErrorListener(ErrorListener):  # type: ignore\n    def syntaxError(\n        self,\n        recognizer: Any,\n        offending_symbol: Any,\n        line: Any,\n        column: Any,\n        msg: Any,\n        e: Any,\n    ) -> None:\n        if msg is not None:\n            raise HydraException(msg) from e\n        else:\n            raise HydraException(str(e)) from e\n\n    def reportAmbiguity(\n        self,\n        recognizer: Any,\n        dfa: Any,\n        startIndex: Any,\n        stopIndex: Any,\n        exact: Any,\n        ambigAlts: Any,\n        configs: Any,\n    ) -> None:\n        warnings.warn(\n            message=\"reportAmbiguity: please file an issue with minimal repro instructions\",\n            category=UserWarning,\n        )\n\n    def reportAttemptingFullContext(\n        self,\n        recognizer: Any,\n        dfa: Any,\n        startIndex: Any,\n        stopIndex: Any,\n        conflictingAlts: Any,\n        configs: Any,\n    ) -> None:\n        warnings.warn(\n            message=\"reportAttemptingFullContext: please file an issue with a minimal repro instructions\",\n            category=UserWarning,\n        )\n\n    def reportContextSensitivity(\n        self,\n        recognizer: Any,\n        dfa: Any,\n        startIndex: Any,\n        stopIndex: Any,\n        prediction: Any,\n        configs: Any,\n    ) -> None:\n        warnings.warn(\n            message=\"reportContextSensitivity: please file an issue with minimal a repro instructions\",\n            category=UserWarning,\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_RangeSweep_RangeSweep.range.if_.else_.return.FloatRange_start_stop_s": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_RangeSweep_RangeSweep.range.if_.else_.return.FloatRange_start_stop_s", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/types.py", "file_name": "types.py", "file_type": "text/x-python", "category": "implementation", "start_line": 93, "end_line": 119, "span_ids": ["RangeSweep", "RangeSweep.range"], "tokens": 166}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass RangeSweep(Sweep):\n    \"\"\"\n    Discrete range of numbers\n    \"\"\"\n\n    start: Optional[Union[int, float]] = None\n    stop: Optional[Union[int, float]] = None\n    step: Union[int, float] = 1\n\n    shuffle: bool = False\n\n    def range(self) -> Union[range, FloatRange]:\n        assert self.start is not None\n        assert self.stop is not None\n\n        start = self.start\n        stop = self.stop\n        step = self.step\n        if (\n            isinstance(start, int)\n            and isinstance(stop, int)\n            and (step is None or isinstance(step, int))\n        ):\n            return range(start, stop, step)\n        else:\n            return FloatRange(start, stop, step)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_Override._get_value_element_as_str_Override._get_value_element_as_str.if_value_is_None_.else_.assert_False": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_Override._get_value_element_as_str_Override._get_value_element_as_str.if_value_is_None_.else_.assert_False", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/types.py", "file_name": "types.py", "file_type": "text/x-python", "category": "implementation", "start_line": 387, "end_line": 426, "span_ids": ["Override._get_value_element_as_str"], "tokens": 320}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass Override:\n\n    @staticmethod\n    def _get_value_element_as_str(\n        value: ParsedElementType, space_after_sep: bool = False\n    ) -> str:\n        # str, QuotedString, int, bool, float, List[Any], Dict[str, Any]\n        comma = \", \" if space_after_sep else \",\"\n        colon = \": \" if space_after_sep else \":\"\n        if value is None:\n            return \"null\"\n        elif isinstance(value, QuotedString):\n            return value.with_quotes()\n        elif isinstance(value, list):\n            s = comma.join(\n                [\n                    Override._get_value_element_as_str(\n                        x, space_after_sep=space_after_sep\n                    )\n                    for x in value\n                ]\n            )\n            return \"[\" + s + \"]\"\n        elif isinstance(value, dict):\n            str_items = []\n            for k, v in value.items():\n                str_key = Override._get_value_element_as_str(k)\n                str_value = Override._get_value_element_as_str(\n                    v, space_after_sep=space_after_sep\n                )\n                str_items.append(f\"{str_key}{colon}{str_value}\")\n            return \"{\" + comma.join(str_items) + \"}\"\n        elif isinstance(value, str):\n            return escape_special_characters(value)\n        elif isinstance(value, (int, bool, float)):\n            return str(value)\n        elif is_structured_config(value):\n            return Override._get_value_element_as_str(\n                OmegaConf.to_container(OmegaConf.structured(value))\n            )\n        else:\n            assert False", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/plugins.py_importlib_ScanStats.modules_import_time.field_default_factory_dic": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/plugins.py_importlib_ScanStats.modules_import_time.field_default_factory_dic", "embedding": null, "metadata": {"file_path": "hydra/core/plugins.py", "file_name": "plugins.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 40, "span_ids": ["ScanStats", "docstring"], "tokens": 244}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import importlib\nimport importlib.util\nimport inspect\nimport pkgutil\nimport sys\nimport warnings\nfrom collections import defaultdict\nfrom dataclasses import dataclass, field\nfrom timeit import default_timer as timer\nfrom typing import Any, Dict, List, Optional, Tuple, Type\n\nfrom omegaconf import DictConfig\n\nfrom hydra._internal.sources_registry import SourcesRegistry\nfrom hydra.core.singleton import Singleton\nfrom hydra.plugins.completion_plugin import CompletionPlugin\nfrom hydra.plugins.config_source import ConfigSource\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.plugins.plugin import Plugin\nfrom hydra.plugins.search_path_plugin import SearchPathPlugin\nfrom hydra.plugins.sweeper import Sweeper\nfrom hydra.types import HydraContext, TaskFunction\nfrom hydra.utils import instantiate\n\nPLUGIN_TYPES: List[Type[Plugin]] = [\n    Plugin,\n    ConfigSource,\n    CompletionPlugin,\n    Launcher,\n    Sweeper,\n    SearchPathPlugin,\n]\n\n\n@dataclass\nclass ScanStats:\n    total_time: float = 0\n    total_modules_import_time: float = 0\n    modules_import_time: Dict[str, float] = field(default_factory=dict)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/plugins.py_Plugins_Plugins.__init__.self__initialize_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/plugins.py_Plugins_Plugins.__init__.self__initialize_", "embedding": null, "metadata": {"file_path": "hydra/core/plugins.py", "file_name": "plugins.py", "file_type": "text/x-python", "category": "implementation", "start_line": 33, "end_line": 44, "span_ids": ["Plugins.__init__", "Plugins", "Plugins.instance"], "tokens": 121}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Plugins(metaclass=Singleton):\n    @staticmethod\n    def instance(*args: Any, **kwargs: Any) -> \"Plugins\":\n        ret = Singleton.instance(Plugins, *args, **kwargs)\n        assert isinstance(ret, Plugins)\n        return ret\n\n    def __init__(self) -> None:\n        self.plugin_type_to_subclass_list: Dict[Type[Plugin], List[Type[Plugin]]] = {}\n        self.class_name_to_class: Dict[str, Type[Plugin]] = {}\n        self.stats: Optional[ScanStats] = None\n        self._initialize()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/plugins.py_Plugins.get_stats_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/plugins.py_Plugins.get_stats_", "embedding": null, "metadata": {"file_path": "hydra/core/plugins.py", "file_name": "plugins.py", "file_type": "text/x-python", "category": "implementation", "start_line": 239, "end_line": 273, "span_ids": ["Plugins.get_stats", "_is_concrete_plugin_type", "Plugins.discover", "Plugins.check_usage"], "tokens": 266}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Plugins(metaclass=Singleton):\n\n    def get_stats(self) -> Optional[ScanStats]:\n        return self.stats\n\n    def discover(\n        self, plugin_type: Optional[Type[Plugin]] = None\n    ) -> List[Type[Plugin]]:\n        \"\"\"\n        :param plugin_type: class of plugin to discover, None for all\n        :return: a list of plugins implementing the plugin type (or all if plugin type is None)\n        \"\"\"\n        Plugins.check_usage(self)\n        ret: List[Type[Plugin]] = []\n        if plugin_type is None:\n            plugin_type = Plugin\n        assert issubclass(plugin_type, Plugin)\n        if plugin_type not in self.plugin_type_to_subclass_list:\n            return []\n        for clazz in self.plugin_type_to_subclass_list[plugin_type]:\n            ret.append(clazz)\n\n        return ret\n\n    @staticmethod\n    def check_usage(self_: Any) -> None:\n        if not isinstance(self_, Plugins):\n            raise ValueError(\n                f\"Plugins is now a Singleton. usage: Plugins.instance().{inspect.stack()[1][3]}(...)\"\n            )\n\n\ndef _is_concrete_plugin_type(obj: Any) -> bool:\n    return (\n        inspect.isclass(obj) and issubclass(obj, Plugin) and not inspect.isabstract(obj)\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py_copy_simple_stdout_log_config.root_addHandler_handler_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py_copy_simple_stdout_log_config.root_addHandler_handler_", "embedding": null, "metadata": {"file_path": "hydra/core/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 33, "span_ids": ["simple_stdout_log_config", "docstring"], "tokens": 201}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import copy\nimport logging\nimport os\nimport re\nimport sys\nfrom contextlib import contextmanager\nfrom dataclasses import dataclass\nfrom datetime import datetime\nfrom enum import Enum\nfrom os.path import splitext\nfrom pathlib import Path\nfrom textwrap import dedent\nfrom typing import Any, Dict, Optional, Sequence, Union, cast\n\nfrom omegaconf import DictConfig, OmegaConf, open_dict, read_write\n\nfrom hydra import version\nfrom hydra._internal.deprecation_warning import deprecation_warning\nfrom hydra.core.hydra_config import HydraConfig\nfrom hydra.core.singleton import Singleton\nfrom hydra.types import HydraContext, TaskFunction\n\nlog = logging.getLogger(__name__)\n\n\ndef simple_stdout_log_config(level: int = logging.INFO) -> None:\n    root = logging.getLogger()\n    root.setLevel(level)\n    handler = logging.StreamHandler(sys.stdout)\n    formatter = logging.Formatter(\"%(message)s\")\n    handler.setFormatter(formatter)\n    root.addHandler(handler)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py_configure_log_configure_log.if_isinstance_verbose_con.else_.for_logger_in_verbose_lis.logging_getLogger_logger_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py_configure_log_configure_log.if_isinstance_verbose_con.else_.for_logger_in_verbose_lis.logging_getLogger_logger_", "embedding": null, "metadata": {"file_path": "hydra/core/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 35, "end_line": 68, "span_ids": ["configure_log"], "tokens": 262}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def configure_log(\n    log_config: DictConfig,\n    verbose_config: Union[bool, str, Sequence[str]] = False,\n) -> None:\n    assert isinstance(verbose_config, (bool, str)) or OmegaConf.is_list(verbose_config)\n    if log_config is not None:\n        conf: Dict[str, Any] = OmegaConf.to_container(  # type: ignore\n            log_config, resolve=True\n        )\n        if conf[\"root\"] is not None:\n            logging.config.dictConfig(conf)\n    else:\n        # default logging to stdout\n        root = logging.getLogger()\n        root.setLevel(logging.INFO)\n        handler = logging.StreamHandler(sys.stdout)\n        formatter = logging.Formatter(\n            \"[%(asctime)s][%(name)s][%(levelname)s] - %(message)s\"\n        )\n        handler.setFormatter(formatter)\n        root.addHandler(handler)\n    if isinstance(verbose_config, bool):\n        if verbose_config:\n            logging.getLogger().setLevel(logging.DEBUG)\n    else:\n        if isinstance(verbose_config, str):\n            verbose_list = OmegaConf.create([verbose_config])\n        elif OmegaConf.is_list(verbose_config):\n            verbose_list = verbose_config  # type: ignore\n        else:\n            assert False\n\n        for logger in verbose_list:\n            logging.getLogger(logger).setLevel(logging.DEBUG)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py__save_config_filter_overrides.return._x_for_x_in_overrides_if_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py__save_config_filter_overrides.return._x_for_x_in_overrides_if_", "embedding": null, "metadata": {"file_path": "hydra/core/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 74, "end_line": 85, "span_ids": ["filter_overrides", "_save_config"], "tokens": 127}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _save_config(cfg: DictConfig, filename: str, output_dir: Path) -> None:\n    output_dir.mkdir(parents=True, exist_ok=True)\n    with open(str(output_dir / filename), \"w\", encoding=\"utf-8\") as file:\n        file.write(OmegaConf.to_yaml(cfg))\n\n\ndef filter_overrides(overrides: Sequence[str]) -> Sequence[str]:\n    \"\"\"\n    :param overrides: overrides list\n    :return: returning a new overrides list with all the keys starting with hydra. filtered.\n    \"\"\"\n    return [x for x in overrides if not x.startswith(\"hydra.\")]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/errors.py_from_typing_import_Option_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/errors.py_from_typing_import_Option_", "embedding": null, "metadata": {"file_path": "hydra/errors.py", "file_name": "errors.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 46, "span_ids": ["MissingConfigException.__init__", "CompactHydraException", "InstantiationException", "MissingConfigException", "HydraDeprecationError", "OverrideParseException.__init__", "OverrideParseException", "docstring", "ConfigCompositionException", "SearchPathException", "HydraException"], "tokens": 208}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Optional, Sequence\n\n\nclass HydraException(Exception):\n    ...\n\n\nclass CompactHydraException(HydraException):\n    ...\n\n\nclass OverrideParseException(CompactHydraException):\n    def __init__(self, override: str, message: str) -> None:\n        super(OverrideParseException, self).__init__(message)\n        self.override = override\n        self.message = message\n\n\nclass InstantiationException(CompactHydraException):\n    ...\n\n\nclass ConfigCompositionException(CompactHydraException):\n    ...\n\n\nclass SearchPathException(CompactHydraException):\n    ...\n\n\nclass MissingConfigException(IOError, ConfigCompositionException):\n    def __init__(\n        self,\n        message: str,\n        missing_cfg_file: Optional[str],\n        options: Optional[Sequence[str]] = None,\n    ) -> None:\n        super(MissingConfigException, self).__init__(message)\n        self.missing_cfg_file = missing_cfg_file\n        self.options = options\n\n\nclass HydraDeprecationError(HydraException):\n    ...", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/__init__.py__", "embedding": null, "metadata": {"file_path": "hydra/experimental/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 11, "span_ids": ["docstring"], "tokens": 63}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom .compose import compose\nfrom .initialize import initialize, initialize_config_dir, initialize_config_module\n\n__all__ = [\n    \"compose\",\n    \"initialize\",\n    \"initialize_config_module\",\n    \"initialize_config_dir\",\n]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/initialize.py_copy_restore_gh_from_backup.if__gh_backup_is_None_.else_.Singleton__instances_Glob": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/initialize.py_copy_restore_gh_from_backup.if__gh_backup_is_None_.else_.Singleton__instances_Glob", "embedding": null, "metadata": {"file_path": "hydra/experimental/initialize.py", "file_name": "initialize.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 23, "span_ids": ["restore_gh_from_backup", "get_gh_backup", "docstring"], "tokens": 149}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import copy\nfrom typing import Any, Optional\n\nfrom hydra import version\nfrom hydra._internal.deprecation_warning import deprecation_warning\nfrom hydra.core.global_hydra import GlobalHydra\nfrom hydra.core.singleton import Singleton\nfrom hydra.initialize import _UNSPECIFIED_\n\n\ndef get_gh_backup() -> Any:\n    if GlobalHydra in Singleton._instances:\n        return copy.deepcopy(Singleton._instances[GlobalHydra])\n    else:\n        return None\n\n\ndef restore_gh_from_backup(_gh_backup: Any) -> Any:\n    if _gh_backup is None:\n        del Singleton._instances[GlobalHydra]\n    else:\n        Singleton._instances[GlobalHydra] = _gh_backup", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/initialize.py_initialize_initialize.__repr__.return._hydra_experimental_initi": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/initialize.py_initialize_initialize.__repr__.return._hydra_experimental_initi", "embedding": null, "metadata": {"file_path": "hydra/experimental/initialize.py", "file_name": "initialize.py", "file_type": "text/x-python", "category": "implementation", "start_line": 26, "end_line": 58, "span_ids": ["initialize", "initialize.__enter__", "initialize.__init__", "initialize.__exit__", "initialize.__repr__"], "tokens": 231}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class initialize:\n    def __init__(\n        self,\n        config_path: Optional[str] = _UNSPECIFIED_,\n        job_name: Optional[str] = None,\n        caller_stack_depth: int = 1,\n    ) -> None:\n        from hydra import initialize as real_initialize\n\n        message = (\n            \"hydra.experimental.initialize() is no longer experimental. \"\n            \"Use hydra.initialize()\"\n        )\n\n        if version.base_at_least(\"1.2\"):\n            raise ImportError(message)\n\n        deprecation_warning(message=message)\n\n        self.delegate = real_initialize(\n            config_path=config_path,\n            job_name=job_name,\n            caller_stack_depth=caller_stack_depth + 1,\n        )\n\n    def __enter__(self, *args: Any, **kwargs: Any) -> None:\n        self.delegate.__enter__(*args, **kwargs)\n\n    def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:\n        self.delegate.__exit__(exc_type, exc_val, exc_tb)\n\n    def __repr__(self) -> str:\n        return \"hydra.experimental.initialize()\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/initialize.py_initialize_config_module_initialize_config_module.__repr__.return._hydra_experimental_initi": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/initialize.py_initialize_config_module_initialize_config_module.__repr__.return._hydra_experimental_initi", "embedding": null, "metadata": {"file_path": "hydra/experimental/initialize.py", "file_name": "initialize.py", "file_type": "text/x-python", "category": "implementation", "start_line": 61, "end_line": 93, "span_ids": ["initialize_config_module.__repr__", "initialize_config_module.__enter__", "initialize_config_module.__exit__", "initialize_config_module", "initialize_config_module.__init__"], "tokens": 285}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class initialize_config_module:\n    \"\"\"\n    Initializes Hydra and add the config_module to the config search path.\n    The config module must be importable (an __init__.py must exist at its top level)\n    :param config_module: absolute module name, for example \"foo.bar.conf\".\n    :param job_name: the value for hydra.job.name (default is 'app')\n    \"\"\"\n\n    def __init__(self, config_module: str, job_name: str = \"app\") -> None:\n        from hydra import initialize_config_module as real_initialize_config_module\n\n        message = (\n            \"hydra.experimental.initialize_config_module() is no longer experimental. \"\n            \"Use hydra.initialize_config_module().\"\n        )\n\n        if version.base_at_least(\"1.2\"):\n            raise ImportError(message)\n\n        deprecation_warning(message=message)\n\n        self.delegate = real_initialize_config_module(\n            config_module=config_module, job_name=job_name\n        )\n\n    def __enter__(self, *args: Any, **kwargs: Any) -> None:\n        self.delegate.__enter__(*args, **kwargs)\n\n    def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:\n        self.delegate.__exit__(exc_type, exc_val, exc_tb)\n\n    def __repr__(self) -> str:\n        return \"hydra.experimental.initialize_config_module()\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/initialize.py_initialize_config_dir_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/initialize.py_initialize_config_dir_", "embedding": null, "metadata": {"file_path": "hydra/experimental/initialize.py", "file_name": "initialize.py", "file_type": "text/x-python", "category": "implementation", "start_line": 96, "end_line": 130, "span_ids": ["initialize_config_dir", "initialize_config_dir.__enter__", "initialize_config_dir.__exit__", "initialize_config_dir.__init__", "initialize_config_dir.__repr__"], "tokens": 290}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class initialize_config_dir:\n    \"\"\"\n    Initializes Hydra and add an absolute config dir to the to the config search path.\n    The config_dir is always a path on the file system and is must be an absolute path.\n    Relative paths will result in an error.\n    :param config_dir: absolute file system path\n    :param job_name: the value for hydra.job.name (default is 'app')\n    \"\"\"\n\n    def __init__(self, config_dir: str, job_name: str = \"app\") -> None:\n        from hydra import initialize_config_dir as real_initialize_config_dir\n\n        message = (\n            \"hydra.experimental.initialize_config_dir() is no longer experimental. \"\n            \"Use hydra.initialize_config_dir().\"\n        )\n\n        if version.base_at_least(\"1.2\"):\n            raise ImportError(message)\n\n        deprecation_warning(message=message)\n\n        self.delegate = real_initialize_config_dir(\n            config_dir=config_dir, job_name=job_name\n        )\n\n    def __enter__(self, *args: Any, **kwargs: Any) -> None:\n        self.delegate.__enter__(*args, **kwargs)\n\n    def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:\n        self.delegate.__exit__(exc_type, exc_val, exc_tb)\n\n    def __repr__(self) -> str:\n        return \"hydra.experimental.initialize_config_dir()\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/extra/pytest_plugin.py_hydra_task_runner_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/extra/pytest_plugin.py_hydra_task_runner_", "embedding": null, "metadata": {"file_path": "hydra/extra/pytest_plugin.py", "file_name": "pytest_plugin.py", "file_type": "text/x-python", "category": "implementation", "start_line": 61, "end_line": 91, "span_ids": ["hydra_task_runner"], "tokens": 170}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@fixture(scope=\"function\")\ndef hydra_task_runner() -> Callable[\n    [\n        Optional[str],\n        Optional[str],\n        Optional[str],\n        Optional[str],\n        Optional[List[str]],\n        bool,\n    ],\n    TaskTestFunction,\n]:\n    def _(\n        calling_file: Optional[str],\n        calling_module: Optional[str],\n        config_path: Optional[str],\n        config_name: Optional[str],\n        overrides: Optional[List[str]] = None,\n        configure_logging: bool = False,\n    ) -> TaskTestFunction:\n        task = TaskTestFunction()\n        task.overrides = overrides or []\n        task.calling_file = calling_file\n        task.config_name = config_name\n        task.calling_module = calling_module\n        task.config_path = config_path\n        task.configure_logging = configure_logging\n        return task\n\n    return _", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/grammar/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/grammar/__init__.py__", "embedding": null, "metadata": {"file_path": "hydra/grammar/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/__init__.py__", "embedding": null, "metadata": {"file_path": "hydra/plugins/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/completion_plugin.py_os_CompletionPlugin.help._": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/completion_plugin.py_os_CompletionPlugin.help._", "embedding": null, "metadata": {"file_path": "hydra/plugins/completion_plugin.py", "file_name": "completion_plugin.py", "file_type": "text/x-python", "category": "implementation", "start_line": 8, "end_line": 60, "span_ids": ["CompletionPlugin.provides", "CompletionPlugin.help", "CompletionPlugin.query", "CompletionPlugin.__init__", "CompletionPlugin", "docstring", "CompletionPlugin.install", "CompletionPlugin.uninstall"], "tokens": 269}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import os\nimport re\nimport sys\nfrom abc import abstractmethod\n\nfrom hydra.errors import ConfigCompositionException\nfrom omegaconf import (\n    Container,\n    DictConfig,\n    MissingMandatoryValue,\n    OmegaConf,\n    ListConfig,\n)\nfrom typing import Any, List, Optional, Tuple\n\nfrom hydra.core.config_loader import ConfigLoader\nfrom hydra.core.object_type import ObjectType\nfrom hydra.plugins.plugin import Plugin\nfrom hydra.types import RunMode\n\n\nclass CompletionPlugin(Plugin):\n    def __init__(self, config_loader: ConfigLoader) -> None:\n        self.config_loader = config_loader\n\n    @abstractmethod\n    def install(self) -> None:\n        ...\n\n    @abstractmethod\n    def uninstall(self) -> None:\n        ...\n\n    @staticmethod\n    @abstractmethod\n    def provides() -> str:\n        \"\"\"\n        :return: the name of the shell this plugin provides completion for\n        \"\"\"\n        ...\n\n    @abstractmethod\n    def query(self, config_name: Optional[str]) -> None:\n        ...\n\n    @staticmethod\n    @abstractmethod\n    def help(command: str) -> str:\n        \"\"\"\n        :param command: \"install\" or \"uninstall\"\n        :return: command the user can run to install or uninstall this shell completion on the appropriate shell\n        \"\"\"\n        ...", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/completion_plugin.py_CompletionPlugin._get_filename_CompletionPlugin.complete_files.return.ret": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/completion_plugin.py_CompletionPlugin._get_filename_CompletionPlugin.complete_files.return.ret", "embedding": null, "metadata": {"file_path": "hydra/plugins/completion_plugin.py", "file_name": "completion_plugin.py", "file_type": "text/x-python", "category": "implementation", "start_line": 60, "end_line": 95, "span_ids": ["CompletionPlugin.complete_files", "CompletionPlugin._get_filename"], "tokens": 261}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class CompletionPlugin(Plugin):\n\n    @staticmethod\n    def _get_filename(filename: str) -> Tuple[Optional[str], Optional[str]]:\n        last = filename.rfind(\"=\")\n        if last != -1:\n            key_eq = filename[0 : last + 1]\n            filename = filename[last + 1 :]\n            prefixes = [\".\", \"/\", \"\\\\\", \"./\", \".\\\\\"]\n            if sys.platform.startswith(\"win\"):\n                for drive in range(ord(\"a\"), ord(\"z\")):\n                    prefixes.append(f\"{chr(drive)}:\")\n\n            if not filename:\n                return None, None\n            for prefix in prefixes:\n                if filename.lower().startswith(prefix):\n                    return key_eq, filename\n        return None, None\n\n    @staticmethod\n    def complete_files(word: str) -> List[str]:\n        if os.path.isdir(word):\n            dirname = word\n            files = os.listdir(word)\n            file_prefix = \"\"\n        else:\n            dirname = os.path.dirname(word)\n            if os.path.isdir(dirname):\n                files = os.listdir(dirname)\n            else:\n                files = []\n            file_prefix = os.path.basename(word)\n        ret = []\n        for file in files:\n            if file.startswith(file_prefix):\n                ret.append(os.path.join(dirname, file))\n        return ret", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/completion_plugin.py_CompletionPlugin._get_matches_CompletionPlugin._get_matches.return.matches": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/completion_plugin.py_CompletionPlugin._get_matches_CompletionPlugin._get_matches.return.matches", "embedding": null, "metadata": {"file_path": "hydra/plugins/completion_plugin.py", "file_name": "completion_plugin.py", "file_type": "text/x-python", "category": "implementation", "start_line": 99, "end_line": 158, "span_ids": ["CompletionPlugin._get_matches"], "tokens": 459}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class CompletionPlugin(Plugin):\n\n    @staticmethod\n    def _get_matches(config: Container, word: str) -> List[str]:\n        def str_rep(in_key: Any, in_value: Any) -> str:\n            if OmegaConf.is_config(in_value):\n                return f\"{in_key}.\"\n            else:\n                return f\"{in_key}=\"\n\n        if config is None:\n            return []\n        elif OmegaConf.is_config(config):\n            matches = []\n            if word.endswith(\".\") or word.endswith(\"=\"):\n                exact_key = word[0:-1]\n                try:\n                    conf_node = OmegaConf.select(\n                        config, exact_key, throw_on_missing=True\n                    )\n                except MissingMandatoryValue:\n                    conf_node = \"\"\n                if conf_node is not None:\n                    if OmegaConf.is_config(conf_node):\n                        key_matches = CompletionPlugin._get_matches(conf_node, \"\")\n                    else:\n                        # primitive\n                        if isinstance(conf_node, bool):\n                            conf_node = str(conf_node).lower()\n                        key_matches = [conf_node]\n                else:\n                    key_matches = []\n\n                matches.extend([f\"{word}{match}\" for match in key_matches])\n            else:\n                last_dot = word.rfind(\".\")\n                if last_dot != -1:\n                    base_key = word[0:last_dot]\n                    partial_key = word[last_dot + 1 :]\n                    conf_node = OmegaConf.select(config, base_key)\n                    key_matches = CompletionPlugin._get_matches(conf_node, partial_key)\n                    matches.extend([f\"{base_key}.{match}\" for match in key_matches])\n                else:\n                    if isinstance(config, DictConfig):\n                        for key, value in config.items_ex(resolve=False):\n                            str_key = str(key)\n                            if str_key.startswith(word):\n                                matches.append(str_rep(key, value))\n                    elif OmegaConf.is_list(config):\n                        assert isinstance(config, ListConfig)\n                        for idx in range(len(config)):\n                            try:\n                                value = config[idx]\n                                if str(idx).startswith(word):\n                                    matches.append(str_rep(idx, value))\n                            except MissingMandatoryValue:\n                                matches.append(str_rep(idx, \"\"))\n\n        else:\n            assert False, f\"Object is not an instance of config : {type(config)}\"\n\n        return matches", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/completion_plugin.py_CompletionPlugin._query_config_groups_CompletionPlugin._query_config_groups.return.matched_groups_exact_mat": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/completion_plugin.py_CompletionPlugin._query_config_groups_CompletionPlugin._query_config_groups.return.matched_groups_exact_mat", "embedding": null, "metadata": {"file_path": "hydra/plugins/completion_plugin.py", "file_name": "completion_plugin.py", "file_type": "text/x-python", "category": "implementation", "start_line": 160, "end_line": 207, "span_ids": ["CompletionPlugin._query_config_groups"], "tokens": 428}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class CompletionPlugin(Plugin):\n\n    def _query_config_groups(self, word: str) -> Tuple[List[str], bool]:\n        is_addition = word.startswith(\"+\")\n        is_deletion = word.startswith(\"~\")\n        if is_addition or is_deletion:\n            prefix, word = word[0], word[1:]\n        else:\n            prefix = \"\"\n        last_eq_index = word.rfind(\"=\")\n        last_slash_index = word.rfind(\"/\")\n        exact_match: bool = False\n        if last_eq_index != -1:\n            parent_group = word[0:last_eq_index]\n            results_filter = ObjectType.CONFIG\n        else:\n            results_filter = ObjectType.GROUP\n            if last_slash_index == -1:\n                parent_group = \"\"\n            else:\n                parent_group = word[0:last_slash_index]\n\n        all_matched_groups = self.config_loader.get_group_options(\n            group_name=parent_group, results_filter=results_filter\n        )\n        matched_groups: List[str] = []\n        if results_filter == ObjectType.CONFIG:\n            for match in all_matched_groups:\n                name = f\"{parent_group}={match}\" if parent_group != \"\" else match\n                if name.startswith(word):\n                    matched_groups.append(name)\n                exact_match = True\n        elif results_filter == ObjectType.GROUP:\n            for match in all_matched_groups:\n                name = f\"{parent_group}/{match}\" if parent_group != \"\" else match\n                if name.startswith(word):\n                    files = self.config_loader.get_group_options(\n                        group_name=name, results_filter=ObjectType.CONFIG\n                    )\n                    dirs = self.config_loader.get_group_options(\n                        group_name=name, results_filter=ObjectType.GROUP\n                    )\n                    if len(dirs) == 0 and len(files) > 0 and not is_deletion:\n                        name = name + \"=\"\n                    elif len(dirs) > 0 and len(files) == 0:\n                        name = name + \"/\"\n                    matched_groups.append(name)\n\n        matched_groups = [f\"{prefix}{group}\" for group in matched_groups]\n        return matched_groups, exact_match", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/completion_plugin.py_CompletionPlugin._query_CompletionPlugin._query.return.sorted_result_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/completion_plugin.py_CompletionPlugin._query_CompletionPlugin._query.return.sorted_result_", "embedding": null, "metadata": {"file_path": "hydra/plugins/completion_plugin.py", "file_name": "completion_plugin.py", "file_type": "text/x-python", "category": "implementation", "start_line": 202, "end_line": 241, "span_ids": ["CompletionPlugin._query"], "tokens": 338}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class CompletionPlugin(Plugin):\n\n    def _query(self, config_name: Optional[str], line: str) -> List[str]:\n        from .._internal.utils import get_args\n\n        new_word = len(line) == 0 or line[-1] == \" \"\n        parsed_args = get_args(line.split())\n        words = parsed_args.overrides\n        if new_word or len(words) == 0:\n            word = \"\"\n        else:\n            word = words[-1]\n            words = words[0:-1]\n\n        fname_prefix, filename = CompletionPlugin._get_filename(word)\n        if filename is not None:\n            assert fname_prefix is not None\n            result = CompletionPlugin.complete_files(filename)\n            result = [fname_prefix + file for file in result]\n        else:\n            matched_groups, exact_match = self._query_config_groups(word)\n            config_matches: List[str] = []\n            if not exact_match:\n\n                run_mode = RunMode.MULTIRUN if parsed_args.multirun else RunMode.RUN\n                config_matches = []\n                try:\n                    config = self.config_loader.load_configuration(\n                        config_name=config_name, overrides=words, run_mode=run_mode\n                    )\n                    config_matches = CompletionPlugin._get_matches(config, word)\n                except ConfigCompositionException:\n                    # if config fails to load for whatever reason, do not provide config matches.\n                    # possible reasons:\n                    # - missing entry in defaults list (- group: ???) and not populated in command line\n                    # - a config file is not found\n                    # etc.\n                    pass\n\n            result = list(set(matched_groups + config_matches))\n\n        return sorted(result)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/completion_plugin.py_CompletionPlugin.strip_python_or_app_name_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/completion_plugin.py_CompletionPlugin.strip_python_or_app_name_", "embedding": null, "metadata": {"file_path": "hydra/plugins/completion_plugin.py", "file_name": "completion_plugin.py", "file_type": "text/x-python", "category": "implementation", "start_line": 230, "end_line": 273, "span_ids": ["DefaultCompletionPlugin.provides", "DefaultCompletionPlugin.help", "CompletionPlugin.strip_python_or_app_name", "DefaultCompletionPlugin.install", "DefaultCompletionPlugin.query", "DefaultCompletionPlugin", "DefaultCompletionPlugin.uninstall"], "tokens": 317}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class CompletionPlugin(Plugin):\n\n    @staticmethod\n    def strip_python_or_app_name(line: str) -> str:\n        \"\"\"\n        Take the command line received from shell completion, and strip the app name from it\n        which could be at the form of python script.py or some_app.\n        it also corrects the key (COMP_INDEX) to reflect the same location in the striped command line.\n        :param line: input line, may contain python file.py followed=by_args..\n        :return: tuple(args line, key of cursor in args line)\n        \"\"\"\n        python_args = r\"^\\s*[\\w\\/]*python[3]?\\s*[\\w/\\.]*\\s*(.*)\"\n        app_args = r\"^\\s*[\\w_\\-=\\./]+\\s*(.*)\"\n        match = re.match(python_args, line)\n        if match:\n            return match.group(1)\n        else:\n            match = re.match(app_args, line)\n            if match:\n                return match.group(1)\n            else:\n                raise RuntimeError(f\"Error parsing line '{line}'\")\n\n\nclass DefaultCompletionPlugin(CompletionPlugin):\n    \"\"\"\n    A concrete instance of CompletionPlugin that is used for testing.\n    \"\"\"\n\n    def install(self) -> None:\n        ...\n\n    def uninstall(self) -> None:\n        ...\n\n    @staticmethod\n    def provides() -> str:\n        ...\n\n    def query(self, config_name: Optional[str]) -> None:\n        ...\n\n    @staticmethod\n    def help(command: str) -> str:\n        ...", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/config_source.py_ConfigSource._list_add_result_ConfigSource._list_add_result.None_1.files_append_file_name_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/config_source.py_ConfigSource._list_add_result_ConfigSource._list_add_result.None_1.files_append_file_name_", "embedding": null, "metadata": {"file_path": "hydra/plugins/config_source.py", "file_name": "config_source.py", "file_type": "text/x-python", "category": "implementation", "start_line": 91, "end_line": 117, "span_ids": ["ConfigSource._list_add_result"], "tokens": 190}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSource(Plugin):\n\n    def _list_add_result(\n        self,\n        files: List[str],\n        file_path: str,\n        file_name: str,\n        results_filter: Optional[ObjectType],\n    ) -> None:\n        filtered = [\"__pycache__\", \"__init__.py\"]\n        is_group = self.is_group(file_path)\n        is_config = self.is_config(file_path)\n        if (\n            is_group\n            and (results_filter is None or results_filter == ObjectType.GROUP)\n            and file_name not in filtered\n        ):\n            files.append(file_name)\n        if (\n            is_config\n            and file_name not in filtered\n            and (results_filter is None or results_filter == ObjectType.CONFIG)\n        ):\n            # strip extension\n            last_dot = file_name.rfind(\".\")\n            if last_dot != -1:\n                file_name = file_name[0:last_dot]\n\n            files.append(file_name)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/launcher.py_from_abc_import_abstractm_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/launcher.py_from_abc_import_abstractm_", "embedding": null, "metadata": {"file_path": "hydra/plugins/launcher.py", "file_name": "launcher.py", "file_type": "text/x-python", "category": "implementation", "start_line": 5, "end_line": 40, "span_ids": ["Launcher", "Launcher.launch", "Launcher.setup", "docstring"], "tokens": 178}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from abc import abstractmethod\nfrom typing import Sequence\n\nfrom omegaconf import DictConfig\n\nfrom hydra.core.utils import JobReturn\n\nfrom hydra.types import TaskFunction, HydraContext\n\nfrom .plugin import Plugin\n\n\nclass Launcher(Plugin):\n    @abstractmethod\n    def setup(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> None:\n        \"\"\"\n        Sets this launcher instance up.\n        \"\"\"\n        raise NotImplementedError()\n\n    @abstractmethod\n    def launch(\n        self, job_overrides: Sequence[Sequence[str]], initial_job_idx: int\n    ) -> Sequence[JobReturn]:\n        \"\"\"\n        :param job_overrides: a batch of job arguments\n        :param initial_job_idx: Initial job idx. used by sweepers that executes several batches\n        \"\"\"\n        raise NotImplementedError()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/plugin.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/plugin.py__", "embedding": null, "metadata": {"file_path": "hydra/plugins/plugin.py", "file_name": "plugin.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 7, "span_ids": ["Plugin", "docstring"], "tokens": 29}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom abc import ABC\n\n\nclass Plugin(ABC):\n    ...", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/search_path_plugin.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/search_path_plugin.py__", "embedding": null, "metadata": {"file_path": "hydra/plugins/search_path_plugin.py", "file_name": "search_path_plugin.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 13, "span_ids": ["SearchPathPlugin", "SearchPathPlugin.manipulate_search_path", "docstring"], "tokens": 71}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom abc import abstractmethod\n\nfrom hydra.core.config_search_path import ConfigSearchPath\n\nfrom .plugin import Plugin\n\n\nclass SearchPathPlugin(Plugin):\n    @abstractmethod\n    def manipulate_search_path(self, search_path: ConfigSearchPath) -> None:\n        ...", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/sweeper.py_from_abc_import_abstractm_Sweeper.sweep._": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/sweeper.py_from_abc_import_abstractm_Sweeper.sweep._", "embedding": null, "metadata": {"file_path": "hydra/plugins/sweeper.py", "file_name": "sweeper.py", "file_type": "text/x-python", "category": "implementation", "start_line": 5, "end_line": 46, "span_ids": ["Sweeper.sweep", "Sweeper.setup", "Sweeper", "docstring"], "tokens": 245}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from abc import abstractmethod\nfrom typing import Any, List, Sequence, Optional\n\nfrom hydra.types import TaskFunction\nfrom omegaconf import DictConfig\nfrom .launcher import Launcher\n\nfrom .plugin import Plugin\nfrom hydra.types import HydraContext\n\n\nclass Sweeper(Plugin):\n    \"\"\"\n    An abstract sweeper interface\n    Sweeper takes the command line arguments, generates a and launches jobs\n    (where each job typically takes a different command line arguments)\n    \"\"\"\n\n    hydra_context: Optional[HydraContext]\n    config: Optional[DictConfig]\n    launcher: Optional[Launcher]\n\n    @abstractmethod\n    def setup(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> None:\n        raise NotImplementedError()\n\n    @abstractmethod\n    def sweep(self, arguments: List[str]) -> Any:\n        \"\"\"\n        Execute a sweep\n        :param arguments: list of strings describing what this sweeper should do.\n        exact structure is determine by the concrete Sweeper class.\n        :return: the return objects of all thy launched jobs. structure depends on the Sweeper\n        implementation.\n        \"\"\"\n        ...", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/sweeper.py_Sweeper.validate_batch_is_legal_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/sweeper.py_Sweeper.validate_batch_is_legal_", "embedding": null, "metadata": {"file_path": "hydra/plugins/sweeper.py", "file_name": "sweeper.py", "file_type": "text/x-python", "category": "implementation", "start_line": 48, "end_line": 66, "span_ids": ["Sweeper.validate_batch_is_legal"], "tokens": 168}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Sweeper(Plugin):\n\n    def validate_batch_is_legal(self, batch: Sequence[Sequence[str]]) -> None:\n        \"\"\"\n        Ensures that the given batch can be composed.\n        This repeat work the launcher will do, but as the launcher may be performing this in a different\n        process/machine it's important to do it here as well to detect failures early.\n        \"\"\"\n        config_loader = (\n            self.hydra_context.config_loader\n            if hasattr(self, \"hydra_context\") and self.hydra_context is not None\n            else self.config_loader  # type: ignore\n        )\n        assert config_loader is not None\n\n        assert self.config is not None\n        for overrides in batch:\n            config_loader.load_sweep_config(\n                master_config=self.config, sweep_overrides=list(overrides)\n            )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/__init__.py__", "embedding": null, "metadata": {"file_path": "hydra/test_utils/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/a_module.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/a_module.py__", "embedding": null, "metadata": {"file_path": "hydra/test_utils/a_module.py", "file_name": "a_module.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["experiment", "impl", "docstring"], "tokens": 56}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main()\ndef experiment(_: DictConfig) -> None:\n    pass\n\n\nif __name__ == \"__main__\":\n    experiment()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/completion.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/completion.py__", "embedding": null, "metadata": {"file_path": "hydra/test_utils/completion.py", "file_name": "completion.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 16, "span_ids": ["run_cli", "impl", "docstring"], "tokens": 87}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(\n    version_base=None, config_path=\"configs/completion_test\", config_name=\"config\"\n)\ndef run_cli(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    run_cli()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/config_source_common_tests.py_ConfigSourceTestSuite.test_is_config_ConfigSourceTestSuite.test_is_config.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/config_source_common_tests.py_ConfigSourceTestSuite.test_is_config_ConfigSourceTestSuite.test_is_config.assert_ret_expected", "embedding": null, "metadata": {"file_path": "hydra/test_utils/config_source_common_tests.py", "file_name": "config_source_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 58, "end_line": 79, "span_ids": ["ConfigSourceTestSuite.test_is_config"], "tokens": 186}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSourceTestSuite:\n\n    @mark.parametrize(\n        \"config_path, expected\",\n        [\n            (\"\", False),\n            (\"optimizer\", False),\n            (\"dataset/imagenet\", True),\n            (\"dataset/imagenet.yaml\", True),\n            (\"dataset/imagenet.foobar\", False),\n            (\"configs_with_defaults_list/global_package\", True),\n            (\"configs_with_defaults_list/group_package\", True),\n            (\"level1\", False),\n            (\"level1/level2\", False),\n            (\"level1/level2/nested1\", True),\n            (\"not_found\", False),\n        ],\n    )\n    def test_is_config(\n        self, type_: Type[ConfigSource], path: str, config_path: str, expected: bool\n    ) -> None:\n        src = type_(provider=\"foo\", path=path)\n        ret = src.is_config(config_path=config_path)\n        assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/config_source_common_tests.py_ConfigSourceTestSuite.test_list_ConfigSourceTestSuite.test_list.assert_ret_sorted_ret_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/config_source_common_tests.py_ConfigSourceTestSuite.test_list_ConfigSourceTestSuite.test_list.assert_ret_sorted_ret_", "embedding": null, "metadata": {"file_path": "hydra/test_utils/config_source_common_tests.py", "file_name": "config_source_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 99, "end_line": 135, "span_ids": ["ConfigSourceTestSuite.test_list"], "tokens": 362}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSourceTestSuite:\n\n    @mark.parametrize(\n        \"config_path,results_filter,expected\",\n        [\n            # groups\n            (\"\", ObjectType.GROUP, [\"dataset\", \"level1\", \"optimizer\"]),\n            (\"dataset\", ObjectType.GROUP, []),\n            (\"optimizer\", ObjectType.GROUP, []),\n            (\"level1\", ObjectType.GROUP, [\"level2\"]),\n            (\"level1/level2\", ObjectType.GROUP, []),\n            # Configs\n            (\"\", ObjectType.CONFIG, [\"config_without_group\"]),\n            (\"dataset\", ObjectType.CONFIG, [\"cifar10\", \"imagenet\"]),\n            (\"optimizer\", ObjectType.CONFIG, [\"adam\", \"nesterov\"]),\n            (\"level1\", ObjectType.CONFIG, []),\n            (\"level1/level2\", ObjectType.CONFIG, [\"nested1\", \"nested2\"]),\n            # both\n            (\"\", None, [\"config_without_group\", \"dataset\", \"level1\", \"optimizer\"]),\n            (\"dataset\", None, [\"cifar10\", \"imagenet\"]),\n            (\"optimizer\", None, [\"adam\", \"nesterov\"]),\n            (\"level1\", None, [\"level2\"]),\n            (\"level1/level2\", None, [\"nested1\", \"nested2\"]),\n            (\"\", None, [\"config_without_group\", \"dataset\", \"level1\", \"optimizer\"]),\n        ],\n    )\n    def test_list(\n        self,\n        type_: Type[ConfigSource],\n        path: str,\n        config_path: str,\n        results_filter: Optional[ObjectType],\n        expected: List[str],\n    ) -> None:\n        src = type_(provider=\"foo\", path=path)\n        ret = src.list(config_path=config_path, results_filter=results_filter)\n        for x in expected:\n            assert x in ret\n        assert ret == sorted(ret)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/config_source_common_tests.py_ConfigSourceTestSuite.test_package_behavior_ConfigSourceTestSuite.test_package_behavior.assert_cfg_config_expe": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/config_source_common_tests.py_ConfigSourceTestSuite.test_package_behavior_ConfigSourceTestSuite.test_package_behavior.assert_cfg_config_expe", "embedding": null, "metadata": {"file_path": "hydra/test_utils/config_source_common_tests.py", "file_name": "config_source_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 268, "end_line": 295, "span_ids": ["ConfigSourceTestSuite.test_package_behavior"], "tokens": 251}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSourceTestSuite:\n\n    @mark.parametrize(\n        \"config_path, expected_result, expected_package\",\n        [\n            param(\"package_test/none\", {\"foo\": \"bar\"}, None, id=\"none\"),\n            param(\"package_test/explicit\", {\"foo\": \"bar\"}, \"a.b\", id=\"explicit\"),\n            param(\"package_test/global\", {\"foo\": \"bar\"}, \"_global_\", id=\"global\"),\n            param(\"package_test/group\", {\"foo\": \"bar\"}, \"_group_\", id=\"group\"),\n            param(\n                \"package_test/group_name\",\n                {\"foo\": \"bar\"},\n                \"foo._group_._name_\",\n                id=\"group_name\",\n            ),\n            param(\"package_test/name\", {\"foo\": \"bar\"}, \"_name_\", id=\"name\"),\n        ],\n    )\n    def test_package_behavior(\n        self,\n        type_: Type[ConfigSource],\n        path: str,\n        config_path: str,\n        expected_result: Any,\n        expected_package: str,\n    ) -> None:\n        src = type_(provider=\"foo\", path=path)\n        cfg = src.load_config(config_path=config_path)\n        assert cfg.header[\"package\"] == expected_package\n        assert cfg.config == expected_result", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/config_source_common_tests.py_ConfigSourceTestSuite.test_default_package_for_primary_config_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/config_source_common_tests.py_ConfigSourceTestSuite.test_default_package_for_primary_config_", "embedding": null, "metadata": {"file_path": "hydra/test_utils/config_source_common_tests.py", "file_name": "config_source_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 297, "end_line": 310, "span_ids": ["ConfigSourceTestSuite.test_default_package_for_primary_config", "ConfigSourceTestSuite.test_primary_config_with_non_global_package"], "tokens": 136}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSourceTestSuite:\n\n    def test_default_package_for_primary_config(\n        self, type_: Type[ConfigSource], path: str\n    ) -> None:\n        src = type_(provider=\"foo\", path=path)\n        cfg = src.load_config(config_path=\"primary_config\")\n        assert cfg.header[\"package\"] == None\n\n    def test_primary_config_with_non_global_package(\n        self, type_: Type[ConfigSource], path: str\n    ) -> None:\n        src = type_(provider=\"foo\", path=path)\n        cfg = src.load_config(config_path=\"primary_config_with_non_global_package\")\n        assert cfg.header[\"package\"] == \"foo\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/configs/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/configs/__init__.py__", "embedding": null, "metadata": {"file_path": "hydra/test_utils/configs/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/configs/package_tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/configs/package_tests/__init__.py__", "embedding": null, "metadata": {"file_path": "hydra/test_utils/configs/package_tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/example_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/example_app.py__", "embedding": null, "metadata": {"file_path": "hydra/test_utils/example_app.py", "file_name": "example_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["run_cli", "impl", "docstring"], "tokens": 82}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"configs\", config_name=\"db_conf\")\ndef run_cli(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    run_cli()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_copy_LauncherTestSuite.test_sweep_2_jobs.sweep_2_jobs_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_copy_LauncherTestSuite.test_sweep_2_jobs.sweep_2_jobs_", "embedding": null, "metadata": {"file_path": "hydra/test_utils/launcher_common_tests.py", "file_name": "launcher_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 5, "end_line": 57, "span_ids": ["LauncherTestSuite.test_sweep_2_jobs", "LauncherTestSuite.get_task_function", "LauncherTestSuite", "docstring", "LauncherTestSuite.test_sweep_1_job"], "tokens": 318}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import copy\nimport os\nimport re\nfrom pathlib import Path\nfrom typing import Any, Callable, List, Optional, Set\n\nfrom omegaconf import DictConfig, OmegaConf\nfrom pytest import mark, param, raises\n\nfrom hydra import TaskFunction\nfrom hydra.errors import HydraException\nfrom hydra.test_utils.test_utils import (\n    TSweepRunner,\n    integration_test,\n    verify_dir_outputs,\n)\n\n\n@mark.usefixtures(\"hydra_restore_singletons\")\nclass LauncherTestSuite:\n    def get_task_function(self) -> Optional[Callable[[Any], Any]]:\n        def task_func(_: DictConfig) -> Any:\n            return 100\n\n        return task_func\n\n    def test_sweep_1_job(\n        self,\n        hydra_sweep_runner: TSweepRunner,\n        launcher_name: str,\n        overrides: List[str],\n        tmpdir: Path,\n    ) -> None:\n        sweep_1_job(\n            hydra_sweep_runner,\n            overrides=[\"hydra/launcher=\" + launcher_name] + overrides,\n            task_function=self.get_task_function(),\n            temp_dir=tmpdir,\n        )\n\n    def test_sweep_2_jobs(\n        self,\n        hydra_sweep_runner: TSweepRunner,\n        launcher_name: str,\n        overrides: List[str],\n        tmpdir: Path,\n    ) -> None:\n        sweep_2_jobs(\n            hydra_sweep_runner,\n            overrides=[\"hydra/launcher=\" + launcher_name] + overrides,\n            task_function=self.get_task_function(),\n            temp_dir=tmpdir,\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_LauncherTestSuite.test_sweep_1_job_strict_LauncherTestSuite.test_sweep_2_optimizers.sweep_two_config_groups_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_LauncherTestSuite.test_sweep_1_job_strict_LauncherTestSuite.test_sweep_2_optimizers.sweep_two_config_groups_", "embedding": null, "metadata": {"file_path": "hydra/test_utils/launcher_common_tests.py", "file_name": "launcher_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 88, "end_line": 131, "span_ids": ["LauncherTestSuite.test_sweep_2_optimizers", "LauncherTestSuite.test_sweep_1_job_strict_and_bad_key", "LauncherTestSuite.test_sweep_1_job_strict"], "tokens": 342}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"hydra_restore_singletons\")\nclass LauncherTestSuite:\n\n    def test_sweep_1_job_strict(\n        self,\n        hydra_sweep_runner: TSweepRunner,\n        launcher_name: str,\n        overrides: List[str],\n        tmpdir: Path,\n    ) -> None:\n        sweep_1_job(\n            hydra_sweep_runner,\n            overrides=[\"hydra/launcher=\" + launcher_name] + overrides,\n            task_function=self.get_task_function(),\n            temp_dir=tmpdir,\n        )\n\n    def test_sweep_1_job_strict_and_bad_key(\n        self,\n        hydra_sweep_runner: TSweepRunner,\n        launcher_name: str,\n        overrides: List[str],\n        tmpdir: Path,\n    ) -> None:\n        # Ideally this would be KeyError, This can't be more specific because some launcher plugins\n        # like submitit raises a different exception on job failure and not the underlying exception.\n        with raises(Exception):\n            sweep_1_job(\n                hydra_sweep_runner,\n                overrides=[\"hydra/launcher=\" + launcher_name, \"boo=bar\"] + overrides,\n                task_function=self.get_task_function(),\n                temp_dir=tmpdir,\n            )\n\n    def test_sweep_2_optimizers(\n        self,\n        hydra_sweep_runner: TSweepRunner,\n        launcher_name: str,\n        overrides: List[str],\n        tmpdir: Path,\n    ) -> None:\n        sweep_two_config_groups(\n            hydra_sweep_runner,\n            overrides=[\"hydra/launcher=\" + launcher_name] + overrides,\n            task_function=self.get_task_function(),\n            temp_dir=tmpdir,\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_LauncherTestSuite.test_sweep_over_unspecified_mandatory_default_LauncherTestSuite.test_sweep_over_unspecified_mandatory_default.with_sweep_.for_i_in_range_2_.verify_dir_outputs_job_re": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_LauncherTestSuite.test_sweep_over_unspecified_mandatory_default_LauncherTestSuite.test_sweep_over_unspecified_mandatory_default.with_sweep_.for_i_in_range_2_.verify_dir_outputs_job_re", "embedding": null, "metadata": {"file_path": "hydra/test_utils/launcher_common_tests.py", "file_name": "launcher_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 133, "end_line": 159, "span_ids": ["LauncherTestSuite.test_sweep_over_unspecified_mandatory_default"], "tokens": 276}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"hydra_restore_singletons\")\nclass LauncherTestSuite:\n\n    def test_sweep_over_unspecified_mandatory_default(\n        self,\n        hydra_sweep_runner: TSweepRunner,\n        launcher_name: str,\n        overrides: List[str],\n        tmpdir: Path,\n    ) -> None:\n        base_overrides = [\"hydra/launcher=\" + launcher_name, \"group1=file1,file2\"]\n        sweep = hydra_sweep_runner(\n            calling_file=None,\n            calling_module=\"hydra.test_utils.a_module\",\n            task_function=self.get_task_function(),\n            config_path=\"configs\",\n            config_name=\"unspecified_mandatory_default\",\n            overrides=base_overrides + overrides,\n            temp_dir=tmpdir,\n        )\n        expected_overrides = [[\"group1=file1\"], [\"group1=file2\"]]\n        expected_conf = [OmegaConf.create({\"foo\": 10}), OmegaConf.create({\"foo\": 20})]\n        with sweep:\n            assert sweep.returns is not None\n            assert len(sweep.returns[0]) == 2\n            for i in range(2):\n                job_ret = sweep.returns[0][i]\n                assert job_ret.overrides == expected_overrides[i]\n                assert job_ret.cfg == expected_conf[i]\n                verify_dir_outputs(job_ret, job_ret.overrides)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_LauncherTestSuite.test_sweep_and_override_LauncherTestSuite.test_sweep_and_override.with_sweep_.for_i_in_range_2_.verify_dir_outputs_job_re": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_LauncherTestSuite.test_sweep_and_override_LauncherTestSuite.test_sweep_and_override.with_sweep_.for_i_in_range_2_.verify_dir_outputs_job_re", "embedding": null, "metadata": {"file_path": "hydra/test_utils/launcher_common_tests.py", "file_name": "launcher_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 161, "end_line": 209, "span_ids": ["LauncherTestSuite.test_sweep_and_override"], "tokens": 412}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"hydra_restore_singletons\")\nclass LauncherTestSuite:\n\n    def test_sweep_and_override(\n        self,\n        hydra_sweep_runner: TSweepRunner,\n        launcher_name: str,\n        overrides: List[str],\n        tmpdir: Path,\n    ) -> None:\n        \"\"\"\n        Tests that we can override things in the configs merged in only during the sweep config construction\n        db.user=someone does not exist db_conf.yaml, and is only appear when we merge in db=mysql or db=postgresql.\n        This presents a tricky situation when operating in strict mode, this tests verifies it's handled correctly.\n        \"\"\"\n        base_overrides = [\n            \"hydra/launcher=\" + launcher_name,\n            \"db=mysql,postgresql\",\n            \"db.user=someone\",\n        ]\n        sweep = hydra_sweep_runner(\n            calling_file=None,\n            calling_module=\"hydra.test_utils.a_module\",\n            task_function=None,\n            config_path=\"configs\",\n            config_name=\"db_conf.yaml\",\n            overrides=base_overrides + overrides,\n            temp_dir=tmpdir,\n        )\n        expected_overrides = [\n            [\"db=mysql\", \"db.user=someone\"],\n            [\"db=postgresql\", \"db.user=someone\"],\n        ]\n        expected_conf = [\n            {\"db\": {\"driver\": \"mysql\", \"password\": \"secret\", \"user\": \"someone\"}},\n            {\n                \"db\": {\n                    \"user\": \"someone\",\n                    \"driver\": \"postgresql\",\n                    \"password\": \"drowssap\",\n                    \"timeout\": 10,\n                }\n            },\n        ]\n        with sweep:\n            assert sweep.returns is not None\n            assert len(sweep.returns[0]) == 2\n            for i in range(2):\n                job_ret = sweep.returns[0][i]\n                assert job_ret.overrides == expected_overrides[i]\n                assert job_ret.cfg == expected_conf[i]\n                verify_dir_outputs(job_ret, job_ret.overrides)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_BatchedSweeperTestSuite_BatchedSweeperTestSuite.test_sweep_2_jobs_2_batches._and_a_total_of_6_unique": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_BatchedSweeperTestSuite_BatchedSweeperTestSuite.test_sweep_2_jobs_2_batches._and_a_total_of_6_unique", "embedding": null, "metadata": {"file_path": "hydra/test_utils/launcher_common_tests.py", "file_name": "launcher_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 245, "end_line": 307, "span_ids": ["BatchedSweeperTestSuite.test_sweep_2_jobs_2_batches", "BatchedSweeperTestSuite"], "tokens": 589}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"hydra_restore_singletons\")\nclass BatchedSweeperTestSuite:\n    def test_sweep_2_jobs_2_batches(\n        self,\n        hydra_sweep_runner: TSweepRunner,\n        launcher_name: str,\n        overrides: List[str],\n        tmpdir: Path,\n    ) -> None:\n        job_overrides = [\"group1=file1,file2\", \"bar=100,200,300\"]\n        hydra_overrides = [\"hydra/launcher=\" + launcher_name]\n        overrides.extend(job_overrides)\n        overrides.extend(hydra_overrides)\n        sweep = hydra_sweep_runner(\n            calling_file=None,\n            calling_module=\"hydra.test_utils.a_module\",\n            task_function=None,\n            config_path=\"configs\",\n            config_name=\"compose.yaml\",\n            overrides=overrides,\n            temp_dir=tmpdir,\n        )\n        expected_overrides = [\n            [\"group1=file1\", \"bar=100\"],\n            [\"group1=file1\", \"bar=200\"],\n            [\"group1=file1\", \"bar=300\"],\n            [\"group1=file2\", \"bar=100\"],\n            [\"group1=file2\", \"bar=200\"],\n            [\"group1=file2\", \"bar=300\"],\n        ]\n\n        expected_conf = [\n            {\"foo\": 10, \"bar\": 100},\n            {\"foo\": 10, \"bar\": 200},\n            {\"foo\": 10, \"bar\": 300},\n            {\"foo\": 20, \"bar\": 100},\n            {\"foo\": 20, \"bar\": 200},\n            {\"foo\": 20, \"bar\": 300},\n        ]\n\n        dirs: Set[str] = set()\n        with sweep:\n            temp_dir = sweep.temp_dir\n            assert temp_dir is not None\n            multirun_cfg_path = Path(temp_dir) / \"multirun.yaml\"\n            assert multirun_cfg_path.exists()\n            multirun_cfg = OmegaConf.load(multirun_cfg_path)\n            assert multirun_cfg.hydra.overrides.task == job_overrides\n\n            assert sweep.returns is not None\n            # expecting 3 batches of 2\n            assert len(sweep.returns) == 3\n            for batch in sweep.returns:\n                assert len(batch) == 2\n\n            flat = [rt for batch in sweep.returns for rt in batch]\n            assert len(flat) == 6  # with a total of 6 jobs\n            for idx, job_ret in enumerate(flat):\n                assert job_ret.overrides == expected_overrides[idx]\n                assert job_ret.cfg == expected_conf[idx]\n                dirs.add(job_ret.working_dir)\n                verify_dir_outputs(job_ret, job_ret.overrides)\n        assert len(dirs) == 6  # and a total of 6 unique output directories", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_sweep_1_job_sweep_1_job.with_sweep_.verify_dir_outputs_sweep_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_sweep_1_job_sweep_1_job.with_sweep_.verify_dir_outputs_sweep_", "embedding": null, "metadata": {"file_path": "hydra/test_utils/launcher_common_tests.py", "file_name": "launcher_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 310, "end_line": 340, "span_ids": ["sweep_1_job"], "tokens": 268}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def sweep_1_job(\n    hydra_sweep_runner: TSweepRunner,\n    overrides: List[str],\n    task_function: Optional[TaskFunction],\n    temp_dir: Path,\n) -> None:\n    \"\"\"\n    Runs a sweep with one job\n    \"\"\"\n    sweep = hydra_sweep_runner(\n        calling_file=None,\n        calling_module=\"hydra.test_utils.a_module\",\n        task_function=task_function,\n        config_path=\"configs\",\n        config_name=\"compose.yaml\",\n        overrides=overrides,\n        temp_dir=temp_dir,\n    )\n\n    with sweep:\n        assert sweep.returns is not None\n        job_ret = sweep.returns[0]\n        assert len(job_ret) == 1\n        assert job_ret[0].overrides == []\n        assert job_ret[0].cfg == {\"foo\": 10, \"bar\": 100}\n        assert job_ret[0].hydra_cfg.hydra.job.name == \"a_module\", (\n            \"Unexpected job name: \" + job_ret[0].hydra_cfg.hydra.job.name\n        )\n        assert job_ret[0].hydra_cfg.hydra.job.id is not None\n        assert job_ret[0].hydra_cfg.hydra.job.num is not None\n        verify_dir_outputs(sweep.returns[0][0])", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_sweep_2_jobs_sweep_2_jobs.with_sweep_.for_i_in_range_2_.assert_path_exists_f_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_sweep_2_jobs_sweep_2_jobs.with_sweep_.for_i_in_range_2_.assert_path_exists_f_", "embedding": null, "metadata": {"file_path": "hydra/test_utils/launcher_common_tests.py", "file_name": "launcher_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 343, "end_line": 392, "span_ids": ["sweep_2_jobs"], "tokens": 442}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def sweep_2_jobs(\n    hydra_sweep_runner: TSweepRunner,\n    overrides: List[str],\n    task_function: Optional[TaskFunction],\n    temp_dir: Path,\n) -> None:\n    \"\"\"\n    Runs a sweep with two jobs\n    \"\"\"\n    job_overrides = [\"+a=0,1\"]\n    overrides.extend(job_overrides)\n    sweep = hydra_sweep_runner(\n        calling_file=None,\n        calling_module=\"hydra.test_utils.a_module\",\n        task_function=task_function,\n        config_path=\"configs\",\n        config_name=\"compose\",\n        overrides=overrides,\n        temp_dir=temp_dir,\n    )\n    base_cfg = {\"foo\": 10, \"bar\": 100, \"a\": 0}\n\n    with sweep:\n        assert sweep.temp_dir is not None\n        assert sweep.returns is not None\n\n        temp_dir = Path(sweep.temp_dir)\n\n        multirun_cfg_path = temp_dir / \"multirun.yaml\"\n        assert multirun_cfg_path.exists()\n        multirun_cfg = OmegaConf.load(multirun_cfg_path)\n        assert multirun_cfg.hydra.overrides.task == job_overrides\n\n        assert len(sweep.returns[0]) == 2\n        for i in range(2):\n            job_ret = sweep.returns[0][i]\n            expected_conf = OmegaConf.create(base_cfg)\n            expected_conf.a = i\n            assert job_ret.overrides == [f\"+a={i}\"]\n            assert job_ret.cfg == expected_conf\n            assert job_ret.hydra_cfg.hydra.job.name == \"a_module\", (\n                \"Unexpected job name: \" + job_ret.hydra_cfg.hydra.job.name\n            )\n            assert job_ret.hydra_cfg.hydra.job.id is not None\n            assert job_ret.hydra_cfg.hydra.job.num is not None\n\n            verify_dir_outputs(job_ret, job_ret.overrides)\n            path = temp_dir / str(i)\n            lst = [x for x in temp_dir.iterdir() if x.is_dir()]\n            assert path.exists(), f\"'{path}' does not exist, dirs: {lst}\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_sweep_two_config_groups_sweep_two_config_groups.with_sweep_.for_i_in_range_2_.verify_dir_outputs_job_re": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_sweep_two_config_groups_sweep_two_config_groups.with_sweep_.for_i_in_range_2_.verify_dir_outputs_job_re", "embedding": null, "metadata": {"file_path": "hydra/test_utils/launcher_common_tests.py", "file_name": "launcher_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 357, "end_line": 389, "span_ids": ["sweep_two_config_groups"], "tokens": 274}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def sweep_two_config_groups(\n    hydra_sweep_runner: TSweepRunner,\n    overrides: List[str],\n    task_function: Optional[TaskFunction],\n    temp_dir: Path,\n) -> None:\n    \"\"\"\n    Make sure that optimizers=adam,nesterov is interpreted correctly\n    \"\"\"\n    overrides = copy.deepcopy(overrides)\n    overrides.extend([\"group1=file1,file2\"])\n    sweep = hydra_sweep_runner(\n        calling_file=None,\n        calling_module=\"hydra.test_utils.a_module\",\n        task_function=task_function,\n        config_path=\"configs\",\n        config_name=\"compose\",\n        overrides=overrides,\n        temp_dir=temp_dir,\n    )\n    expected_overrides = [[\"group1=file1\"], [\"group1=file2\"]]\n    expected_conf = [\n        OmegaConf.create({\"foo\": 10, \"bar\": 100}),\n        OmegaConf.create({\"foo\": 20, \"bar\": 100}),\n    ]\n    with sweep:\n        assert sweep.returns is not None\n        assert len(sweep.returns[0]) == 2\n        for i in range(2):\n            job_ret = sweep.returns[0][i]\n            assert job_ret.overrides == expected_overrides[i]\n            assert job_ret.cfg == expected_conf[i]\n            verify_dir_outputs(job_ret, job_ret.overrides)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_IntegrationTestSuite.test_custom_sweeper_run_workdir_IntegrationTestSuite.test_custom_sweeper_run_workdir.integration_test_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_IntegrationTestSuite.test_custom_sweeper_run_workdir_IntegrationTestSuite.test_custom_sweeper_run_workdir.integration_test_", "embedding": null, "metadata": {"file_path": "hydra/test_utils/launcher_common_tests.py", "file_name": "launcher_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 515, "end_line": 627, "span_ids": ["IntegrationTestSuite.test_custom_sweeper_run_workdir"], "tokens": 748}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"hydra_restore_singletons\")\nclass IntegrationTestSuite:\n\n    @mark.parametrize(\n        \"task_config, overrides, expected_dir\",\n        [\n            param(\n                {\n                    \"hydra\": {\n                        \"sweep\": {\n                            \"dir\": \"task_cfg\",\n                            \"subdir\": \"task_cfg_${hydra.job.num}\",\n                        }\n                    }\n                },\n                [],\n                \"task_cfg/task_cfg_0\",\n                id=\"sweep_dir_config_override\",\n            ),\n            param(\n                {},\n                [\n                    \"hydra.sweep.dir=cli_dir\",\n                    \"hydra.sweep.subdir=cli_dir_${hydra.job.num}\",\n                ],\n                \"cli_dir/cli_dir_0\",\n                id=\"sweep_dir_cli_override\",\n            ),\n            param(\n                {\n                    \"hydra\": {\n                        \"sweep\": {\n                            \"dir\": \"task_cfg\",\n                            \"subdir\": \"task_cfg_${hydra.job.num}\",\n                        }\n                    }\n                },\n                [\n                    \"hydra.sweep.dir=cli_dir\",\n                    \"hydra.sweep.subdir=cli_dir_${hydra.job.num}\",\n                ],\n                \"cli_dir/cli_dir_0\",\n                id=\"sweep_dir_cli_overridding_config\",\n            ),\n            param(\n                {\n                    \"hydra\": {\n                        \"sweep\": {\n                            \"dir\": \"hydra_cfg\",\n                            \"subdir\": \"${hydra.job.override_dirname}\",\n                        }\n                    },\n                    \"a\": \"hello\",\n                    \"b\": 20,\n                },\n                [\"a=1\", \"b=2\"],\n                \"hydra_cfg/a=1,b=2\",\n                id=\"subdir:override_dirname\",\n            ),\n            param(\n                # Test override_dirname integration\n                {\n                    \"hydra\": {\n                        \"sweep\": {\n                            \"dir\": \"hydra_cfg\",\n                            \"subdir\": \"${hydra.job.override_dirname}\",\n                        },\n                        \"job\": {\n                            \"config\": {\n                                \"override_dirname\": {\n                                    \"kv_sep\": \"_\",\n                                    \"item_sep\": \"+\",\n                                    \"exclude_keys\": [\"seed\"],\n                                }\n                            }\n                        },\n                    },\n                    \"a\": \"hello\",\n                    \"b\": 20,\n                    \"seed\": \"???\",\n                },\n                [\"a=1\", \"b=2\", \"seed=10\"],\n                \"hydra_cfg/a_1+b_2\",\n                id=\"subdir:custom_override_dirname\",\n            ),\n        ],\n    )\n    def test_custom_sweeper_run_workdir(\n        self,\n        tmpdir: Path,\n        task_config: str,\n        overrides: List[str],\n        expected_dir: str,\n        task_launcher_cfg: DictConfig,\n        extra_flags: List[str],\n    ) -> None:\n        overrides = extra_flags + overrides\n        task_launcher_cfg = OmegaConf.create(task_launcher_cfg or {})\n        task_config = OmegaConf.create(task_config or {})  # type: ignore\n        cfg = OmegaConf.merge(task_launcher_cfg, task_config)\n        assert isinstance(cfg, DictConfig)\n        test_app_dir = self.get_test_app_working_dir()\n        expected_outputs = (\n            str(self.get_test_scratch_dir(test_app_dir) / expected_dir)\n            if test_app_dir\n            else str(self.get_test_scratch_dir(tmpdir) / expected_dir)\n        )\n\n        integration_test(\n            tmpdir=self.get_test_scratch_dir(tmpdir),\n            task_config=cfg,\n            overrides=overrides + [\"hydra.job.chdir=True\"],\n            prints=\"os.getcwd()\",\n            expected_outputs=expected_outputs,\n            generate_custom_cmd=self.generate_custom_cmd(),\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_IntegrationTestSuite.test_get_orig_dir_multirun_IntegrationTestSuite.test_get_orig_dir_multirun.integration_test_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_IntegrationTestSuite.test_get_orig_dir_multirun_IntegrationTestSuite.test_get_orig_dir_multirun.integration_test_", "embedding": null, "metadata": {"file_path": "hydra/test_utils/launcher_common_tests.py", "file_name": "launcher_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 629, "end_line": 645, "span_ids": ["IntegrationTestSuite.test_get_orig_dir_multirun"], "tokens": 166}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"hydra_restore_singletons\")\nclass IntegrationTestSuite:\n\n    def test_get_orig_dir_multirun(\n        self, tmpdir: Path, task_launcher_cfg: DictConfig, extra_flags: List[str]\n    ) -> None:\n        overrides = extra_flags\n        task_launcher_cfg = OmegaConf.create(task_launcher_cfg or {})\n        task_config = OmegaConf.create()\n        cfg = OmegaConf.merge(task_launcher_cfg, task_config)\n        assert isinstance(cfg, DictConfig)\n\n        integration_test(\n            tmpdir=self.get_test_scratch_dir(tmpdir),\n            task_config=cfg,\n            overrides=overrides,\n            prints=\"hydra.utils.get_original_cwd()\",\n            expected_outputs=os.path.realpath(str(self.get_test_scratch_dir(tmpdir))),\n            generate_custom_cmd=self.generate_custom_cmd(),\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_IntegrationTestSuite.test_to_absolute_path_multirun_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_IntegrationTestSuite.test_to_absolute_path_multirun_", "embedding": null, "metadata": {"file_path": "hydra/test_utils/launcher_common_tests.py", "file_name": "launcher_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 647, "end_line": 684, "span_ids": ["IntegrationTestSuite.test_to_absolute_path_multirun"], "tokens": 350}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"hydra_restore_singletons\")\nclass IntegrationTestSuite:\n\n    def test_to_absolute_path_multirun(\n        self, tmpdir: Path, task_launcher_cfg: DictConfig, extra_flags: List[str]\n    ) -> None:\n        expected_dir = \"cli_dir/cli_dir_0\"\n        overrides = extra_flags + [\n            \"hydra.job.chdir=True\",\n            \"hydra.sweep.dir=cli_dir\",\n            \"hydra.sweep.subdir=cli_dir_${hydra.job.num}\",\n        ]\n        task_launcher_cfg = OmegaConf.create(task_launcher_cfg or {})\n        task_config = OmegaConf.create()\n        cfg = OmegaConf.merge(task_launcher_cfg, task_config)\n        assert isinstance(cfg, DictConfig)\n        path = str(Path(\"/foo/bar\").absolute())\n        integration_test(\n            tmpdir=self.get_test_scratch_dir(tmpdir),\n            task_config=cfg,\n            overrides=overrides,\n            prints=\"hydra.utils.to_absolute_path('/foo/bar')\",\n            expected_outputs=path,\n            generate_custom_cmd=self.generate_custom_cmd(),\n        )\n        test_app_dir = self.get_test_app_working_dir()\n        working_dir = test_app_dir if test_app_dir else tmpdir\n\n        outputs = [\n            os.path.realpath(str(self.get_test_scratch_dir(tmpdir) / \"foo/bar\")),\n            str(self.get_test_scratch_dir(working_dir) / expected_dir),\n        ]\n        integration_test(\n            tmpdir=self.get_test_scratch_dir(tmpdir),\n            task_config=cfg,\n            overrides=overrides,\n            prints=[\"hydra.utils.to_absolute_path('foo/bar')\", \"os.getcwd()\"],\n            expected_outputs=outputs,\n            generate_custom_cmd=self.generate_custom_cmd(),\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_copy_does_not_raise.yield_enter_result": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_copy_does_not_raise.yield_enter_result", "embedding": null, "metadata": {"file_path": "hydra/test_utils/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 5, "end_line": 36, "span_ids": ["does_not_raise", "docstring"], "tokens": 199}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import copy\nimport logging\nimport os\nimport re\nimport shutil\nimport string\nimport subprocess\nimport sys\nimport tempfile\nfrom contextlib import contextmanager\nfrom difflib import unified_diff\nfrom pathlib import Path\nfrom subprocess import PIPE, Popen\nfrom typing import Any, Callable, Dict, Iterator, List, Optional, Tuple, Union\n\nfrom omegaconf import Container, DictConfig, OmegaConf\n\nfrom hydra._internal.hydra import Hydra\nfrom hydra._internal.utils import detect_task_name\nfrom hydra.core.global_hydra import GlobalHydra\nfrom hydra.core.utils import JobReturn, validate_config_path\nfrom hydra.types import TaskFunction\n\nif sys.version_info >= (3, 8, 0):\n    from typing import Protocol\nelse:\n    from typing_extensions import Protocol  # type: ignore\n\n\n@contextmanager\ndef does_not_raise(enter_result: Any = None) -> Iterator[Any]:\n    yield enter_result", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_TaskTestFunction_TaskTestFunction.__call__.return.100": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_TaskTestFunction_TaskTestFunction.__call__.return.100", "embedding": null, "metadata": {"file_path": "hydra/test_utils/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 39, "end_line": 60, "span_ids": ["TaskTestFunction.__init__", "TaskTestFunction", "TaskTestFunction.__call__"], "tokens": 158}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class TaskTestFunction:\n    \"\"\"\n    Context function\n    \"\"\"\n\n    def __init__(self) -> None:\n        self.temp_dir: Optional[str] = None\n        self.overrides: Optional[List[str]] = None\n        self.calling_file: Optional[str] = None\n        self.calling_module: Optional[str] = None\n        self.config_path: Optional[str] = None\n        self.config_name: Optional[str] = None\n        self.hydra: Optional[Hydra] = None\n        self.job_ret: Optional[JobReturn] = None\n        self.configure_logging: bool = False\n\n    def __call__(self, cfg: DictConfig) -> Any:\n        \"\"\"\n        Actual function being executed by Hydra\n        \"\"\"\n\n        return 100", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_TaskTestFunction.__enter___TaskTestFunction.__exit__.shutil_rmtree_self_temp_d": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_TaskTestFunction.__enter___TaskTestFunction.__exit__.shutil_rmtree_self_temp_d", "embedding": null, "metadata": {"file_path": "hydra/test_utils/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 62, "end_line": 93, "span_ids": ["TaskTestFunction.__enter__", "TaskTestFunction.__exit__"], "tokens": 246}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class TaskTestFunction:\n\n    def __enter__(self) -> \"TaskTestFunction\":\n        try:\n            validate_config_path(self.config_path)\n\n            job_name = detect_task_name(self.calling_file, self.calling_module)\n\n            self.hydra = Hydra.create_main_hydra_file_or_module(\n                calling_file=self.calling_file,\n                calling_module=self.calling_module,\n                config_path=self.config_path,\n                job_name=job_name,\n            )\n            self.temp_dir = tempfile.mkdtemp()\n            overrides = copy.deepcopy(self.overrides)\n            assert overrides is not None\n            overrides.append(f\"hydra.run.dir={self.temp_dir}\")\n            self.job_ret = self.hydra.run(\n                config_name=self.config_name,\n                task_function=self,\n                overrides=overrides,\n                with_log_configuration=self.configure_logging,\n            )\n            return self\n        finally:\n            GlobalHydra().clear()\n\n    def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:\n        # release log file handles.\n        if self.configure_logging:\n            logging.shutdown()\n        assert self.temp_dir is not None\n        shutil.rmtree(self.temp_dir, ignore_errors=True)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_TTaskRunner_SweepTaskFunction.__call__.return.100": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_TTaskRunner_SweepTaskFunction.__call__.return.100", "embedding": null, "metadata": {"file_path": "hydra/test_utils/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 96, "end_line": 135, "span_ids": ["SweepTaskFunction.__call__", "TTaskRunner.__call__", "TTaskRunner", "SweepTaskFunction", "SweepTaskFunction.__init__"], "tokens": 277}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class TTaskRunner(Protocol):\n    def __call__(\n        self,\n        calling_file: Optional[str],\n        calling_module: Optional[str],\n        config_path: Optional[str],\n        config_name: Optional[str],\n        overrides: Optional[List[str]] = None,\n        configure_logging: bool = False,\n    ) -> TaskTestFunction:\n        ...\n\n\nclass SweepTaskFunction:\n    \"\"\"\n    Context function\n    \"\"\"\n\n    def __init__(self) -> None:\n        \"\"\"\n        if sweep_dir is None,  we use a temp dir, else we will create dir with the path from sweep_dir.\n        \"\"\"\n        self.temp_dir: Optional[str] = None\n        self.overrides: Optional[List[str]] = None\n        self.calling_file: Optional[str] = None\n        self.calling_module: Optional[str] = None\n        self.task_function: Optional[TaskFunction] = None\n        self.config_path: Optional[str] = None\n        self.config_name: Optional[str] = None\n        self.sweeps = None\n        self.returns = None\n        self.configure_logging: bool = False\n\n    def __call__(self, cfg: DictConfig) -> Any:\n        \"\"\"\n        Actual function being executed by Hydra\n        \"\"\"\n        if self.task_function is not None:\n            return self.task_function(cfg)\n        return 100", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_SweepTaskFunction.__enter___SweepTaskFunction.__exit__.shutil_rmtree_self_temp_d": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_SweepTaskFunction.__enter___SweepTaskFunction.__exit__.shutil_rmtree_self_temp_d", "embedding": null, "metadata": {"file_path": "hydra/test_utils/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 137, "end_line": 172, "span_ids": ["SweepTaskFunction.__exit__", "SweepTaskFunction.__enter__"], "tokens": 267}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class SweepTaskFunction:\n\n    def __enter__(self) -> \"SweepTaskFunction\":\n        overrides = copy.deepcopy(self.overrides)\n        assert overrides is not None\n        if self.temp_dir:\n            Path(self.temp_dir).mkdir(parents=True, exist_ok=True)\n        else:\n            self.temp_dir = tempfile.mkdtemp()\n        overrides.append(f\"hydra.sweep.dir={self.temp_dir}\")\n\n        try:\n            validate_config_path(self.config_path)\n            job_name = detect_task_name(self.calling_file, self.calling_module)\n\n            hydra_ = Hydra.create_main_hydra_file_or_module(\n                calling_file=self.calling_file,\n                calling_module=self.calling_module,\n                config_path=self.config_path,\n                job_name=job_name,\n            )\n\n            self.returns = hydra_.multirun(\n                config_name=self.config_name,\n                task_function=self,\n                overrides=overrides,\n                with_log_configuration=self.configure_logging,\n            )\n        finally:\n            GlobalHydra().clear()\n\n        return self\n\n    def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:\n        if self.configure_logging:\n            logging.shutdown()\n        assert self.temp_dir is not None\n        shutil.rmtree(self.temp_dir, ignore_errors=True)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_verify_dir_outputs__get_statements.return.code": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_verify_dir_outputs__get_statements.return.code", "embedding": null, "metadata": {"file_path": "hydra/test_utils/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 218, "end_line": 252, "span_ids": ["verify_dir_outputs", "_get_statements"], "tokens": 281}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def verify_dir_outputs(\n    job_return: JobReturn, overrides: Optional[List[str]] = None\n) -> None:\n    \"\"\"\n    Verify that directory output makes sense\n    \"\"\"\n    assert isinstance(job_return, JobReturn)\n    assert job_return.working_dir is not None\n    assert job_return.task_name is not None\n    assert job_return.hydra_cfg is not None\n\n    assert os.path.exists(\n        os.path.join(job_return.working_dir, job_return.task_name + \".log\")\n    )\n    hydra_dir = os.path.join(\n        job_return.working_dir, job_return.hydra_cfg.hydra.output_subdir\n    )\n    assert os.path.exists(os.path.join(hydra_dir, \"config.yaml\"))\n    assert os.path.exists(os.path.join(hydra_dir, \"overrides.yaml\"))\n    assert OmegaConf.load(\n        os.path.join(hydra_dir, \"overrides.yaml\")\n    ) == OmegaConf.create(overrides or [])\n\n\ndef _get_statements(indent: str, statements: Union[None, str, List[str]]) -> str:\n    if isinstance(statements, str):\n        statements = [statements]\n\n    code = \"\"\n    if statements is None or len(statements) == 0:\n        code = \"pass\"\n    else:\n        for p in statements:\n            code += f\"{indent}{p}\\n\"\n    return code", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_integration_test_integration_test.try_.finally_.os_chdir_orig_dir_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_integration_test_integration_test.try_.finally_.os_chdir_orig_dir_", "embedding": null, "metadata": {"file_path": "hydra/test_utils/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 265, "end_line": 349, "span_ids": ["integration_test"], "tokens": 663}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def integration_test(\n    tmpdir: Path,\n    task_config: Any,\n    overrides: List[str],\n    prints: Union[str, List[str]],\n    expected_outputs: Union[str, List[str]],\n    prolog: Union[None, str, List[str]] = None,\n    filename: str = \"task.py\",\n    env_override: Optional[Dict[str, str]] = None,\n    clean_environment: bool = False,\n    generate_custom_cmd: Callable[..., List[str]] = lambda cmd, *args, **kwargs: cmd,\n) -> str:\n    Path(tmpdir).mkdir(parents=True, exist_ok=True)\n    if isinstance(expected_outputs, str):\n        expected_outputs = [expected_outputs]\n    if not isinstance(task_config, Container):\n        task_config = OmegaConf.create(task_config)\n    if isinstance(prints, str):\n        prints = [prints]\n    prints = [f'f.write({p} + \"\\\\n\")' for p in prints]\n\n    s = string.Template(\n        \"\"\"import hydra\nimport os\nfrom hydra.core.hydra_config import HydraConfig\n\n$PROLOG\n\n@hydra.main(version_base=None, config_path='.', config_name='config')\ndef experiment(cfg):\n    with open(\"$OUTPUT_FILE\", \"w\") as f:\n$PRINTS\n\nif __name__ == \"__main__\":\n    experiment()\n\"\"\"\n    )\n\n    print_code = _get_statements(indent=\"        \", statements=prints)\n    prolog_code = _get_statements(indent=\"\", statements=prolog)\n\n    if task_config is not None:\n        cfg_file = tmpdir / \"config.yaml\"\n        with open(str(cfg_file), \"w\") as f:\n            f.write(\"# @package _global_\\n\")\n            OmegaConf.save(task_config, f)\n    output_file = str(tmpdir / \"output.txt\")\n    # replace Windows path separator \\ with an escaped version \\\\\n    output_file = output_file.replace(\"\\\\\", \"\\\\\\\\\")\n    code = s.substitute(\n        PRINTS=print_code,\n        OUTPUT_FILE=output_file,\n        PROLOG=prolog_code,\n    )\n    task_file = tmpdir / filename\n    task_file.write_text(str(code), encoding=\"utf-8\")\n\n    cmd = [sys.executable, str(task_file)]\n    orig_dir = os.getcwd()\n    try:\n        os.chdir(str(tmpdir))\n        cmd = generate_custom_cmd(cmd, filename)\n        cmd.extend(overrides)\n        if clean_environment:\n            modified_env = {}\n        else:\n            modified_env = os.environ.copy()\n            if env_override is not None:\n                modified_env.update(env_override)\n        subprocess.check_call(cmd, env=modified_env)\n\n        with open(output_file, \"r\") as f:\n            file_str = f.read()\n            output = str.splitlines(file_str)\n\n        if expected_outputs is not None:\n            assert len(output) == len(\n                expected_outputs\n            ), f\"Unexpected number of output lines from {task_file}, output lines:\\n\\n{file_str}\"\n            for idx in range(len(output)):\n                assert_regex_match(expected_outputs[idx], output[idx])\n        # some tests are parsing the file output for more specialized testing.\n        return file_str\n    finally:\n        os.chdir(orig_dir)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/utils.py_to_absolute_path_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/utils.py_to_absolute_path_", "embedding": null, "metadata": {"file_path": "hydra/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 107, "end_line": 125, "span_ids": ["to_absolute_path"], "tokens": 128}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def to_absolute_path(path: str) -> str:\n    \"\"\"\n    converts the specified path to be absolute path.\n    if the input path is relative, it's interpreted as relative to the original working directory\n    if it's absolute, it's returned as is\n    :param path: path to convert\n    :return:\n    \"\"\"\n    p = Path(path)\n    if not HydraConfig.initialized():\n        base = Path(os.getcwd())\n    else:\n        base = Path(get_original_cwd())\n    if p.is_absolute():\n        ret = p\n    else:\n        ret = base / p\n    return str(ret)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_get_plugin_os_names_get_plugin_os_names.if_len_oses_1_and_ose.else_.return._p_split_1_strip_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_get_plugin_os_names_get_plugin_os_names.if_len_oses_1_and_ose.else_.return._p_split_1_strip_", "embedding": null, "metadata": {"file_path": "noxfile.py", "file_name": "noxfile.py", "file_type": "text/x-python", "category": "implementation", "start_line": 114, "end_line": 123, "span_ids": ["get_plugin_os_names"], "tokens": 121}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def get_plugin_os_names(classifiers: List[str]) -> List[str]:\n    oses = list(filter(lambda line: \"Operating System\" in line, classifiers))\n    if len(oses) == 0:\n        # No Os is specified so all oses are supported\n        return DEFAULT_OS_NAMES\n    if len(oses) == 1 and oses[0] == \"Operating System :: OS Independent\":\n        # All oses are supported\n        return DEFAULT_OS_NAMES\n    else:\n        return [p.split(\"::\")[-1].strip() for p in oses]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/example/banana.py_logging_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/example/banana.py_logging_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/example/banana.py", "file_name": "banana.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 24, "span_ids": ["banana", "impl:3", "docstring"], "tokens": 143}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nfrom typing import Any\n\nimport hydra\nfrom omegaconf import DictConfig\n\nlog = logging.getLogger(__name__)\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef banana(cfg: DictConfig) -> Any:\n    x = cfg.banana.x\n    y = cfg.banana.y\n    a = 1\n    b = 100\n    z = (a - x) ** 2 + b * ((y - x**2) ** 2)\n    log.info(f\"Banana_Function(x={x}, y={y})={z}\")\n    return z\n\n\nif __name__ == \"__main__\":\n    banana()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/__init__.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 4, "span_ids": ["docstring"], "tokens": 28}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\n\n__version__ = \"1.2.0\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py_CoreAxSweeper_CoreAxSweeper.setup.self.sweep_dir.config_hydra_sweep_dir": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py_CoreAxSweeper_CoreAxSweeper.setup.self.sweep_dir.config_hydra_sweep_dir", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 105, "end_line": 142, "span_ids": ["CoreAxSweeper.__init__", "CoreAxSweeper", "CoreAxSweeper.setup"], "tokens": 345}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class CoreAxSweeper(Sweeper):\n    \"\"\"Class to interface with the Ax Platform\"\"\"\n\n    def __init__(self, ax_config: AxConfig, max_batch_size: Optional[int]):\n        self.config: Optional[DictConfig] = None\n        self.launcher: Optional[Launcher] = None\n        self.hydra_context: Optional[HydraContext] = None\n\n        self.job_results = None\n        self.experiment: ExperimentConfig = ax_config.experiment\n        self.early_stopper: EarlyStopper = EarlyStopper(\n            max_epochs_without_improvement=ax_config.early_stop.max_epochs_without_improvement,\n            epsilon=ax_config.early_stop.epsilon,\n            minimize=ax_config.early_stop.minimize,\n        )\n        self.ax_client_config: ClientConfig = ax_config.client\n        self.max_trials = ax_config.max_trials\n        self.ax_params: DictConfig = OmegaConf.create({})\n        if hasattr(ax_config, \"params\"):\n            self.ax_params.update(ax_config.params)\n        self.sweep_dir: str\n        self.job_idx: Optional[int] = None\n        self.max_batch_size = max_batch_size\n        self.is_noisy: bool = ax_config.is_noisy\n\n    def setup(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> None:\n        self.config = config\n        self.hydra_context = hydra_context\n        self.launcher = Plugins.instance().instantiate_launcher(\n            config=config, hydra_context=hydra_context, task_function=task_function\n        )\n        self.sweep_dir = config.hydra.sweep.dir", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py_CoreAxSweeper.sweep_CoreAxSweeper.sweep.log_info_Best_parameters": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py_CoreAxSweeper.sweep_CoreAxSweeper.sweep.log_info_Best_parameters", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 144, "end_line": 205, "span_ids": ["CoreAxSweeper.sweep"], "tokens": 505}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class CoreAxSweeper(Sweeper):\n\n    def sweep(self, arguments: List[str]) -> None:\n        self.job_idx = 0\n        ax_client = self.setup_ax_client(arguments)\n\n        num_trials_left = self.max_trials\n        max_parallelism = ax_client.get_max_parallelism()\n        current_parallelism_index = 0\n        # Index to track the parallelism value we are using right now.\n        is_search_space_exhausted = False\n        # Ax throws an exception if the search space is exhausted. We catch\n        # the exception and set the flag to True\n\n        best_parameters = {}\n        while num_trials_left > 0 and not is_search_space_exhausted:\n            current_parallelism = max_parallelism[current_parallelism_index]\n            num_trials, max_parallelism_setting = current_parallelism\n            num_trials_so_far = 0\n            while (\n                num_trials > num_trials_so_far or num_trials == -1\n            ) and num_trials_left > 0:\n                trial_batch = get_one_batch_of_trials(\n                    ax_client=ax_client,\n                    parallelism=current_parallelism,\n                    num_trials_so_far=num_trials_so_far,\n                    num_max_trials_to_do=num_trials_left,\n                )\n\n                list_of_trials_to_launch = trial_batch.list_of_trials[:num_trials_left]\n                is_search_space_exhausted = trial_batch.is_search_space_exhausted\n\n                log.info(\n                    \"AxSweeper is launching {} jobs\".format(\n                        len(list_of_trials_to_launch)\n                    )\n                )\n\n                self.sweep_over_batches(\n                    ax_client=ax_client, list_of_trials=list_of_trials_to_launch\n                )\n\n                num_trials_so_far += len(list_of_trials_to_launch)\n                num_trials_left -= len(list_of_trials_to_launch)\n\n                best_parameters, predictions = ax_client.get_best_parameters()\n                metric = predictions[0][ax_client.objective_name]\n\n                if self.early_stopper.should_stop(metric, best_parameters):\n                    num_trials_left = -1\n                    break\n\n                if is_search_space_exhausted:\n                    log.info(\"Ax has exhausted the search space\")\n                    break\n\n            current_parallelism_index += 1\n\n        results_to_serialize = {\"optimizer\": \"ax\", \"ax\": best_parameters}\n        OmegaConf.save(\n            OmegaConf.create(results_to_serialize),\n            f\"{self.sweep_dir}/optimization_results.yaml\",\n        )\n        log.info(\"Best parameters: \" + str(best_parameters))", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py_CoreAxSweeper.sweep_over_batches_CoreAxSweeper.sweep_over_batches.for_batch_in_chunked_batc.for_idx_in_range_len_batc.ax_client_complete_trial_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py_CoreAxSweeper.sweep_over_batches_CoreAxSweeper.sweep_over_batches.for_batch_in_chunked_batc.for_idx_in_range_len_batc.ax_client_complete_trial_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 207, "end_line": 236, "span_ids": ["CoreAxSweeper.sweep_over_batches"], "tokens": 319}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class CoreAxSweeper(Sweeper):\n\n    def sweep_over_batches(\n        self, ax_client: AxClient, list_of_trials: List[Trial]\n    ) -> None:\n        assert self.launcher is not None\n        assert self.job_idx is not None\n\n        chunked_batches = self.chunks(list_of_trials, self.max_batch_size)\n        for batch in chunked_batches:\n            overrides = [x.overrides for x in batch]\n            self.validate_batch_is_legal(overrides)\n            rets = self.launcher.launch(\n                job_overrides=overrides, initial_job_idx=self.job_idx\n            )\n            self.job_idx += len(rets)\n            for idx in range(len(batch)):\n                val: Any = rets[idx].return_value\n                # Ax expects a measured value (int or float), which can optionally\n                # be given in a tuple along with the error of that measurement\n                assert isinstance(val, (int, float, tuple))\n                # is_noisy specifies how Ax should behave when not given an error value.\n                # if true (default), the error of each measurement is inferred by Ax.\n                # if false, the error of each measurement is set to 0.\n                if isinstance(val, (int, float)):\n                    if self.is_noisy:\n                        val = (val, None)  # specify unknown noise\n                    else:\n                        val = (val, 0)  # specify no noise\n                ax_client.complete_trial(\n                    trial_index=batch[idx].trial_index, raw_data=val\n                )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py_CoreAxSweeper.setup_ax_client_CoreAxSweeper.setup_ax_client.return.ax_client": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py_CoreAxSweeper.setup_ax_client_CoreAxSweeper.setup_ax_client.return.ax_client", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 238, "end_line": 271, "span_ids": ["CoreAxSweeper.setup_ax_client"], "tokens": 291}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class CoreAxSweeper(Sweeper):\n\n    def setup_ax_client(self, arguments: List[str]) -> AxClient:\n        \"\"\"Method to setup the Ax Client\"\"\"\n        parameters: List[Dict[Any, Any]] = []\n        for key, value in self.ax_params.items():\n            param = OmegaConf.to_container(value, resolve=True)\n            assert isinstance(param, Dict)\n            if param[\"type\"] == \"range\":\n                bounds = param[\"bounds\"]\n                if not (all(isinstance(x, int) for x in bounds)):\n                    # Type mismatch. Promote all to float\n                    param[\"bounds\"] = [float(x) for x in bounds]\n\n            parameters.append(param)\n            parameters[-1][\"name\"] = key\n        commandline_params = self.parse_commandline_args(arguments)\n        for cmd_param in commandline_params:\n            for param in parameters:\n                if param[\"name\"] == cmd_param[\"name\"]:\n                    for key, value in cmd_param.items():\n                        param[key] = value\n                    break\n            else:\n                parameters.append(cmd_param)\n\n        log.info(\n            f\"AxSweeper is optimizing the following parameters: {encoder_parameters_into_string(parameters)}\"\n        )\n        ax_client = AxClient(\n            verbose_logging=self.ax_client_config.verbose_logging,\n            random_seed=self.ax_client_config.random_seed,\n        )\n        ax_client.create_experiment(parameters=parameters, **self.experiment)\n\n        return ax_client", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py_CoreAxSweeper.parse_commandline_args_CoreAxSweeper.chunks.for_i_in_range_0_len_bat.yield_batch_i_i_n_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py_CoreAxSweeper.parse_commandline_args_CoreAxSweeper.chunks.for_i_in_range_0_len_bat.yield_batch_i_i_n_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 273, "end_line": 304, "span_ids": ["CoreAxSweeper.parse_commandline_args", "CoreAxSweeper.chunks"], "tokens": 294}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class CoreAxSweeper(Sweeper):\n\n    def parse_commandline_args(\n        self, arguments: List[str]\n    ) -> List[Dict[str, Union[ax_types.TParamValue, List[ax_types.TParamValue]]]]:\n        \"\"\"Method to parse the command line arguments and convert them into Ax parameters\"\"\"\n        parser = OverridesParser.create()\n        parsed = parser.parse_overrides(arguments)\n        parameters: List[Dict[str, Any]] = []\n        for override in parsed:\n            if override.is_sweep_override():\n                if override.is_choice_sweep():\n                    param = create_choice_param_from_choice_override(override)\n                elif override.is_range_sweep():\n                    param = create_choice_param_from_range_override(override)\n                elif override.is_interval_sweep():\n                    param = create_range_param_using_interval_override(override)\n            elif not override.is_hydra_override():\n                param = create_fixed_param_from_element_override(override)\n            parameters.append(param)\n\n        return parameters\n\n    @staticmethod\n    def chunks(batch: List[Any], n: Optional[int]) -> Iterable[List[Any]]:\n        \"\"\"\n        Chunk the batch into chunks of upto to n items (each)\n        \"\"\"\n        if n is None:\n            n = len(batch)\n        if n < 1:\n            raise ValueError(\"n must be an integer greater than 0\")\n        for i in range(0, len(batch), n):\n            yield batch[i : i + n]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_earlystopper.py_logging_EarlyStopper.__init__.self.current_epochs_without_improvement.0": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_earlystopper.py_logging_EarlyStopper.__init__.self.current_epochs_without_improvement.0", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_earlystopper.py", "file_name": "_earlystopper.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 24, "span_ids": ["EarlyStopper.__init__", "EarlyStopper", "docstring"], "tokens": 166}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nfrom typing import Optional\n\nfrom ax import ParameterType  # type: ignore\n\nlog = logging.getLogger(__name__)\n\n\nclass EarlyStopper:\n    \"\"\"Class to implement the early stopping mechanism.\n    The optimization process is stopped when the performance does not\n    improve for a threshold number of consecutive epochs. The performance\n    is considered to have improved when the change is more than a given\n    threshold (epsilon).\"\"\"\n\n    def __init__(\n        self, max_epochs_without_improvement: int, epsilon: float, minimize: bool\n    ):\n        self.max_epochs_without_improvement = max_epochs_without_improvement\n        self.epsilon = epsilon\n        self.minimize = minimize\n        self.current_best_value: Optional[float] = None\n        self.current_epochs_without_improvement = 0", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_earlystopper.py_EarlyStopper.should_stop_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_earlystopper.py_EarlyStopper.should_stop_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_earlystopper.py", "file_name": "_earlystopper.py", "file_type": "text/x-python", "category": "implementation", "start_line": 26, "end_line": 62, "span_ids": ["EarlyStopper.should_stop"], "tokens": 255}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class EarlyStopper:\n\n    def should_stop(\n        self, potential_best_value: float, best_parameters: ParameterType\n    ) -> bool:\n        \"\"\"Check if the optimization process should be stopped.\"\"\"\n        is_improving = True\n        if self.current_best_value is not None:\n            if self.minimize:\n                is_improving = (\n                    potential_best_value + self.epsilon < self.current_best_value\n                )\n            else:\n                is_improving = (\n                    potential_best_value - self.epsilon > self.current_best_value\n                )\n\n        if is_improving:\n            self.current_epochs_without_improvement = 0\n            self.current_best_value = potential_best_value\n            log.info(\n                f\"New best value: {potential_best_value}, best parameters: {best_parameters}\"\n            )\n\n            return False\n        else:\n            self.current_epochs_without_improvement += 1\n\n        if (\n            self.current_epochs_without_improvement\n            >= self.max_epochs_without_improvement\n        ):\n            log.info(\n                f\"Early stopping, best known value {self.current_best_value}\"\n                f\" did not improve for {self.current_epochs_without_improvement} epochs\"\n            )\n            return True\n        return False", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/ax_sweeper.py_from_typing_import_List__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/ax_sweeper.py_from_typing_import_List__", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/ax_sweeper.py", "file_name": "ax_sweeper.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 32, "span_ids": ["AxSweeper.__init__", "AxSweeper.sweep", "docstring", "AxSweeper", "AxSweeper.setup"], "tokens": 197}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import List, Optional\n\nfrom hydra.plugins.sweeper import Sweeper\nfrom hydra.types import HydraContext, TaskFunction\nfrom omegaconf import DictConfig\n\nfrom .config import AxConfig\n\n\nclass AxSweeper(Sweeper):\n    \"\"\"Class to interface with the Ax Platform\"\"\"\n\n    def __init__(self, ax_config: AxConfig, max_batch_size: Optional[int]):\n        from ._core import CoreAxSweeper\n\n        self.sweeper = CoreAxSweeper(ax_config, max_batch_size)\n\n    def setup(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> None:\n        return self.sweeper.setup(\n            hydra_context=hydra_context, task_function=task_function, config=config\n        )\n\n    def sweep(self, arguments: List[str]) -> None:\n        return self.sweeper.sweep(arguments)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/config.py_from_dataclasses_import_d_ExperimentConfig.status_quo.None": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/config.py_from_dataclasses_import_d_ExperimentConfig.status_quo.None", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 32, "span_ids": ["ExperimentConfig", "EarlyStopConfig", "docstring"], "tokens": 205}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass, field\nfrom typing import Any, Dict, List, Optional\n\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass\nclass EarlyStopConfig:\n    minimize: bool = True\n\n    max_epochs_without_improvement: int = 10\n\n    # An improvement larger than epsilon is considered significant\n    epsilon: float = 0.00001\n\n\n@dataclass\nclass ExperimentConfig:\n    # Experiment name\n    name: Optional[str] = None\n\n    # Name of metric to optimize or null if you only return one metric\n    objective_name: str = \"objective\"\n\n    # Defaults to minimize, set to false to maximize\n    minimize: bool = True\n\n    # For the remaining parameters, refer the Ax documentation: https://ax.dev/api/core.html#experiment\n    parameter_constraints: Optional[List[str]] = None\n    outcome_constraints: Optional[List[str]] = None\n    status_quo: Optional[Dict[str, Any]] = None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/config.py_ClientConfig_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/config.py_ClientConfig_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 35, "end_line": 69, "span_ids": ["impl", "ClientConfig", "AxConfig", "AxSweeperConf"], "tokens": 256}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass ClientConfig:\n\n    verbose_logging: bool = False\n\n    # set random seed here to make Ax results reproducible\n    random_seed: Optional[int] = None\n\n\n@dataclass\nclass AxConfig:\n\n    # max_trials is application-specific. Tune it for your use case\n    max_trials: int = 10\n    early_stop: EarlyStopConfig = EarlyStopConfig()\n    experiment: ExperimentConfig = ExperimentConfig()\n    client: ClientConfig = ClientConfig()\n    params: Dict[str, Any] = field(default_factory=dict)\n    # is_noisy = True indicates measurements have unknown uncertainty\n    # is_noisy = False indicates measurements have an uncertainty of zero\n    is_noisy: bool = True\n\n\n@dataclass\nclass AxSweeperConf:\n    _target_: str = \"hydra_plugins.hydra_ax_sweeper.ax_sweeper.AxSweeper\"\n    # Maximum number of trials to run in parallel\n    max_batch_size: Optional[int] = None\n    ax_config: AxConfig = AxConfig()\n\n\nConfigStore.instance().store(\n    group=\"hydra/sweeper\", name=\"ax\", node=AxSweeperConf, provider=\"ax_sweeper\"\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/apps/polynomial.py_from_typing_import_Any_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/apps/polynomial.py_from_typing_import_Any_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/tests/apps/polynomial.py", "file_name": "polynomial.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 22, "span_ids": ["polynomial", "impl", "docstring"], "tokens": 120}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Any\n\nimport hydra\nfrom omegaconf import DictConfig\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"polynomial\")\ndef polynomial(cfg: DictConfig) -> Any:\n    x = cfg.polynomial.x\n    y = cfg.polynomial.y\n    z = cfg.polynomial.x\n    a = 100\n    b = 10\n    c = 1\n    result = a * (x**2) + b * y + c * z\n    return result\n\n\nif __name__ == \"__main__\":\n    polynomial()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_jobs_configured_via_config_test_jobs_configured_via_config.with_sweep_.None_5": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_jobs_configured_via_config_test_jobs_configured_via_config.with_sweep_.None_5", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py", "file_name": "test_ax_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 90, "end_line": 110, "span_ids": ["test_jobs_configured_via_config"], "tokens": 225}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"test_conf\", [\"basic\", \"logscale\"])\ndef test_jobs_configured_via_config(\n    hydra_sweep_runner: TSweepRunner, test_conf: str\n) -> None:\n    sweep = hydra_sweep_runner(\n        calling_file=\"tests/test_ax_sweeper_plugin.py\",\n        calling_module=None,\n        task_function=quadratic,\n        config_path=\"config\",\n        config_name=\"config.yaml\",\n        overrides=[\"hydra/launcher=basic\", f\"params={test_conf}\"],\n    )\n    with sweep:\n        assert sweep.returns is None\n        returns = OmegaConf.load(f\"{sweep.temp_dir}/optimization_results.yaml\")\n        assert isinstance(returns, DictConfig)\n        assert returns[\"optimizer\"] == \"ax\"\n        assert len(returns) == 2\n        best_parameters = returns.ax\n        assert math.isclose(best_parameters[\"quadratic.x\"], 0.0, abs_tol=1e-4)\n        assert math.isclose(best_parameters[\"quadratic.y\"], -1.0, abs_tol=1e-4)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_jobs_configured_via_cmd_test_jobs_configured_via_cmd.with_sweep_.None_5": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_jobs_configured_via_cmd_test_jobs_configured_via_cmd.with_sweep_.None_5", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py", "file_name": "test_ax_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 113, "end_line": 144, "span_ids": ["test_jobs_configured_via_cmd"], "tokens": 309}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"test_conf, override, expected_x\",\n    [\n        (\"basic\", \"int(interval(1, 5))\", 1.0),\n        (\"logscale\", \"tag(log, interval(0.00001, 1))\", 0.00001),\n    ],\n)\ndef test_jobs_configured_via_cmd(\n    hydra_sweep_runner: TSweepRunner, test_conf: str, override: str, expected_x: float\n) -> None:\n    sweep = hydra_sweep_runner(\n        calling_file=\"tests/test_ax_sweeper_plugin.py\",\n        calling_module=None,\n        task_function=quadratic,\n        config_path=\"config\",\n        config_name=\"config.yaml\",\n        overrides=[\n            \"hydra/launcher=basic\",\n            f\"quadratic.x={override}\",\n            \"quadratic.y=int(interval(-2, 2))\",\n            f\"params={test_conf}\",\n        ],\n    )\n    with sweep:\n        assert sweep.returns is None\n        returns = OmegaConf.load(f\"{sweep.temp_dir}/optimization_results.yaml\")\n        assert isinstance(returns, DictConfig)\n        assert returns[\"optimizer\"] == \"ax\"\n        assert len(returns) == 2\n        best_parameters = returns.ax\n        assert math.isclose(best_parameters[\"quadratic.x\"], expected_x, abs_tol=1e-4)\n        assert math.isclose(best_parameters[\"quadratic.y\"], -2.0, abs_tol=1e-4)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_jobs_configured_via_cmd_and_config_test_jobs_configured_via_cmd_and_config.with_sweep_.None_5": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_jobs_configured_via_cmd_and_config_test_jobs_configured_via_cmd_and_config.with_sweep_.None_5", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py", "file_name": "test_ax_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 135, "end_line": 157, "span_ids": ["test_jobs_configured_via_cmd_and_config"], "tokens": 236}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_jobs_configured_via_cmd_and_config(hydra_sweep_runner: TSweepRunner) -> None:\n    sweep = hydra_sweep_runner(\n        calling_file=\"tests/test_ax_sweeper_plugin.py\",\n        calling_module=None,\n        task_function=quadratic,\n        config_path=\"config\",\n        config_name=\"config.yaml\",\n        overrides=[\n            \"hydra/launcher=basic\",\n            \"hydra.sweeper.ax_config.max_trials=2\",\n            \"quadratic.x=int(interval(-5, -2))\",\n            \"params=basic\",\n        ],\n    )\n    with sweep:\n        assert sweep.returns is None\n        returns = OmegaConf.load(f\"{sweep.temp_dir}/optimization_results.yaml\")\n        assert isinstance(returns, DictConfig)\n        assert returns[\"optimizer\"] == \"ax\"\n        assert len(returns) == 2\n        best_parameters = returns.ax\n        assert math.isclose(best_parameters[\"quadratic.x\"], -2.0, abs_tol=1e-4)\n        assert math.isclose(best_parameters[\"quadratic.y\"], 1.0, abs_tol=1e-4)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_configuration_set_via_cmd_and_default_config_test_configuration_set_via_cmd_and_default_config.with_sweep_.assert_quadratic_y_in_b": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_configuration_set_via_cmd_and_default_config_test_configuration_set_via_cmd_and_default_config.with_sweep_.assert_quadratic_y_in_b", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py", "file_name": "test_ax_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 160, "end_line": 184, "span_ids": ["test_configuration_set_via_cmd_and_default_config"], "tokens": 223}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_configuration_set_via_cmd_and_default_config(\n    hydra_sweep_runner: TSweepRunner,\n) -> None:\n    sweep = hydra_sweep_runner(\n        calling_file=\"tests/test_ax_sweeper_plugin.py\",\n        calling_module=None,\n        task_function=quadratic,\n        config_path=\"config\",\n        config_name=\"config.yaml\",\n        overrides=[\n            \"hydra/launcher=basic\",\n            \"hydra.sweeper.ax_config.max_trials=2\",\n            \"hydra.sweeper.ax_config.early_stop.max_epochs_without_improvement=2\",\n            \"quadratic=basic\",\n            \"quadratic.x=interval(-5, -2)\",\n            \"quadratic.y=interval(-1, 1)\",\n        ],\n    )\n    with sweep:\n        assert sweep.returns is None\n        returns = OmegaConf.load(f\"{sweep.temp_dir}/optimization_results.yaml\")\n        assert isinstance(returns, DictConfig)\n        best_parameters = returns.ax\n        assert \"quadratic.x\" in best_parameters\n        assert \"quadratic.y\" in best_parameters", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_ax_logging_test_ax_logging.assert_polynomial_z_fix": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_ax_logging_test_ax_logging.assert_polynomial_z_fix", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py", "file_name": "test_ax_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 187, "end_line": 216, "span_ids": ["test_ax_logging"], "tokens": 425}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"cmd_arg, expected_str\",\n    [\n        (\"polynomial.y=choice(-1, 0, 1)\", \"polynomial.y: choice=[-1, 0, 1]\"),\n        (\"polynomial.y=range(-1, 2)\", \"polynomial.y: choice=[-1, 0, 1]\"),\n        (\"polynomial.y=range(-1, 3, 1)\", \"polynomial.y: choice=[-1, 0, 1, 2]\"),\n        (\n            \"polynomial.y=range(-1, 2, 0.5)\",\n            \"polynomial.y: choice=[-1.0, -0.5, 0.0, 0.5, 1.0, 1.5]\",\n        ),\n        (\"polynomial.y=int(interval(-1, 2))\", \"polynomial.y: range=[-1, 2]\"),\n        (\"polynomial.y=interval(-1, 2)\", \"polynomial.y: range=[-1.0, 2.0]\"),\n        (\"polynomial.y=2\", \"polynomial.y: fixed=2\"),\n        (\"polynomial.y=2.0\", \"polynomial.y: fixed=2.0\"),\n    ],\n)\ndef test_ax_logging(tmpdir: Path, cmd_arg: str, expected_str: str) -> None:\n    cmd = [\n        \"tests/apps/polynomial.py\",\n        \"-m\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"polynomial.x=interval(-5, -2)\",\n        \"polynomial.z=10\",\n        \"hydra.sweeper.ax_config.max_trials=2\",\n    ] + [cmd_arg]\n    result, _ = run_python_script(cmd)\n    assert \"polynomial.x: range=[-5.0, -2.0]\" in result\n    assert expected_str in result\n    assert \"polynomial.z: fixed=10\" in result", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_colorlog/hydra_plugins/hydra_colorlog/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_colorlog/hydra_plugins/hydra_colorlog/__init__.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_colorlog/hydra_plugins/hydra_colorlog/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 4, "span_ids": ["docstring"], "tokens": 28}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\n\n__version__ = \"1.2.0\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_colorlog/hydra_plugins/hydra_colorlog/colorlog.py_from_hydra_core_config_se_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_colorlog/hydra_plugins/hydra_colorlog/colorlog.py_from_hydra_core_config_se_", "embedding": null, "metadata": {"file_path": "plugins/hydra_colorlog/hydra_plugins/hydra_colorlog/colorlog.py", "file_name": "colorlog.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 10, "span_ids": ["HydraColorlogSearchPathPlugin", "HydraColorlogSearchPathPlugin.manipulate_search_path", "docstring"], "tokens": 92}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from hydra.core.config_search_path import ConfigSearchPath\nfrom hydra.plugins.search_path_plugin import SearchPathPlugin\n\n\nclass HydraColorlogSearchPathPlugin(SearchPathPlugin):\n    def manipulate_search_path(self, search_path: ConfigSearchPath) -> None:\n        # Appends the search path for this plugin to the end of the search path\n        search_path.append(\"hydra-colorlog\", \"pkg://hydra_plugins.hydra_colorlog.conf\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_colorlog/hydra_plugins/hydra_colorlog/conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_colorlog/hydra_plugins/hydra_colorlog/conf/__init__.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_colorlog/hydra_plugins/hydra_colorlog/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_colorlog/tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_colorlog/tests/__init__.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_colorlog/tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/example/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/example/my_app.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_joblib_launcher/example/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 21, "span_ids": ["my_app", "impl:3", "docstring"], "tokens": 102}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nimport logging\nimport os\nimport time\n\nimport hydra\nfrom omegaconf import DictConfig\n\nlog = logging.getLogger(__name__)\n\n\n@hydra.main(config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    log.info(f\"Process ID {os.getpid()} executing task {cfg.task} ...\")\n\n    time.sleep(1)\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/hydra_plugins/hydra_joblib_launcher/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/hydra_plugins/hydra_joblib_launcher/__init__.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_joblib_launcher/hydra_plugins/hydra_joblib_launcher/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 4, "span_ids": ["docstring"], "tokens": 28}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\n\n__version__ = \"1.2.0\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/hydra_plugins/hydra_joblib_launcher/_core.py_logging_log.logging_getLogger___name_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/hydra_plugins/hydra_joblib_launcher/_core.py_logging_log.logging_getLogger___name_", "embedding": null, "metadata": {"file_path": "plugins/hydra_joblib_launcher/hydra_plugins/hydra_joblib_launcher/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 21, "span_ids": ["docstring"], "tokens": 118}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nfrom pathlib import Path\nfrom typing import Any, Dict, List, Sequence\n\nfrom hydra.core.hydra_config import HydraConfig\nfrom hydra.core.singleton import Singleton\nfrom hydra.core.utils import (\n    JobReturn,\n    configure_log,\n    filter_overrides,\n    run_job,\n    setup_globals,\n)\nfrom hydra.types import HydraContext, TaskFunction\nfrom joblib import Parallel, delayed  # type: ignore\nfrom omegaconf import DictConfig, open_dict\n\nfrom .joblib_launcher import JoblibLauncher\n\nlog = logging.getLogger(__name__)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/hydra_plugins/hydra_joblib_launcher/_core.py_launch_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/hydra_plugins/hydra_joblib_launcher/_core.py_launch_", "embedding": null, "metadata": {"file_path": "plugins/hydra_joblib_launcher/hydra_plugins/hydra_joblib_launcher/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 66, "end_line": 119, "span_ids": ["launch"], "tokens": 422}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def launch(\n    launcher: JoblibLauncher,\n    job_overrides: Sequence[Sequence[str]],\n    initial_job_idx: int,\n) -> Sequence[JobReturn]:\n    \"\"\"\n    :param job_overrides: a List of List<String>, where each inner list is the arguments for one job run.\n    :param initial_job_idx: Initial job idx in batch.\n    :return: an array of return values from run_job with indexes corresponding to the input list indexes.\n    \"\"\"\n    setup_globals()\n    assert launcher.config is not None\n    assert launcher.task_function is not None\n    assert launcher.hydra_context is not None\n\n    configure_log(launcher.config.hydra.hydra_logging, launcher.config.hydra.verbose)\n    sweep_dir = Path(str(launcher.config.hydra.sweep.dir))\n    sweep_dir.mkdir(parents=True, exist_ok=True)\n\n    # Joblib's backend is hard-coded to loky since the threading\n    # backend is incompatible with Hydra\n    joblib_cfg = launcher.joblib\n    joblib_cfg[\"backend\"] = \"loky\"\n    process_joblib_cfg(joblib_cfg)\n\n    log.info(\n        \"Joblib.Parallel({}) is launching {} jobs\".format(\n            \",\".join([f\"{k}={v}\" for k, v in joblib_cfg.items()]),\n            len(job_overrides),\n        )\n    )\n    log.info(\"Launching jobs, sweep output dir : {}\".format(sweep_dir))\n    for idx, overrides in enumerate(job_overrides):\n        log.info(\"\\t#{} : {}\".format(idx, \" \".join(filter_overrides(overrides))))\n\n    singleton_state = Singleton.get_state()\n\n    runs = Parallel(**joblib_cfg)(\n        delayed(execute_job)(\n            initial_job_idx + idx,\n            overrides,\n            launcher.hydra_context,\n            launcher.config,\n            launcher.task_function,\n            singleton_state,\n        )\n        for idx, overrides in enumerate(job_overrides)\n    )\n\n    assert isinstance(runs, List)\n    for run in runs:\n        assert isinstance(run, JobReturn)\n    return runs", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/hydra_plugins/hydra_joblib_launcher/config.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/hydra_plugins/hydra_joblib_launcher/config.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "plugins/hydra_joblib_launcher/hydra_plugins/hydra_joblib_launcher/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 52, "span_ids": ["JobLibLauncherConf", "impl", "docstring"], "tokens": 350}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\nfrom typing import Optional\n\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass\nclass JobLibLauncherConf:\n    _target_: str = \"hydra_plugins.hydra_joblib_launcher.joblib_launcher.JoblibLauncher\"\n\n    # maximum number of concurrently running jobs. if -1, all CPUs are used\n    n_jobs: int = -1\n\n    # allows to hard-code backend, otherwise inferred based on prefer and require\n    backend: Optional[str] = None\n\n    # processes or threads, soft hint to choose backend\n    prefer: str = \"processes\"\n\n    # null or sharedmem, sharedmem will select thread-based backend\n    require: Optional[str] = None\n\n    # if greater than zero, prints progress messages\n    verbose: int = 0\n\n    # timeout limit for each task. Unit dependent on backend implementation; miliseconds for loky.\n    timeout: Optional[float] = None\n\n    # number of batches to be pre-dispatched\n    pre_dispatch: str = \"2*n_jobs\"\n\n    # number of atomic tasks to dispatch at once to each worker\n    batch_size: str = \"auto\"\n\n    # path used for memmapping large arrays for sharing memory with workers\n    temp_folder: Optional[str] = None\n\n    # thresholds size of arrays that triggers automated memmapping\n    max_nbytes: Optional[str] = None\n\n    # memmapping mode for numpy arrays passed to workers\n    mmap_mode: str = \"r\"\n\n\nConfigStore.instance().store(\n    group=\"hydra/launcher\",\n    name=\"joblib\",\n    node=JobLibLauncherConf,\n    provider=\"joblib_launcher\",\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/hydra_plugins/hydra_joblib_launcher/joblib_launcher.py_logging_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/hydra_plugins/hydra_joblib_launcher/joblib_launcher.py_logging_", "embedding": null, "metadata": {"file_path": "plugins/hydra_joblib_launcher/hydra_plugins/hydra_joblib_launcher/joblib_launcher.py", "file_name": "joblib_launcher.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 48, "span_ids": ["JoblibLauncher", "docstring", "JoblibLauncher.launch", "JoblibLauncher.setup", "JoblibLauncher.__init__"], "tokens": 327}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nfrom typing import Any, Optional, Sequence\n\nfrom hydra.core.utils import JobReturn\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.types import HydraContext, TaskFunction\nfrom omegaconf import DictConfig\n\nlog = logging.getLogger(__name__)\n\n\nclass JoblibLauncher(Launcher):\n    def __init__(self, **kwargs: Any) -> None:\n        \"\"\"Joblib Launcher\n\n        Launches parallel jobs using Joblib.Parallel. For details, refer to:\n        https://joblib.readthedocs.io/en/latest/generated/joblib.Parallel.html\n\n        This plugin is based on the idea and inital implementation of @emilemathieutmp:\n        https://github.com/facebookresearch/hydra/issues/357\n        \"\"\"\n        self.config: Optional[DictConfig] = None\n        self.task_function: Optional[TaskFunction] = None\n        self.hydra_context: Optional[HydraContext] = None\n\n        self.joblib = kwargs\n\n    def setup(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> None:\n        self.config = config\n        self.task_function = task_function\n        self.hydra_context = hydra_context\n\n    def launch(\n        self, job_overrides: Sequence[Sequence[str]], initial_job_idx: int\n    ) -> Sequence[JobReturn]:\n        from . import _core\n\n        return _core.launch(\n            launcher=self, job_overrides=job_overrides, initial_job_idx=initial_job_idx\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/tests/__init__.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_joblib_launcher/tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/__init__.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 4, "span_ids": ["docstring"], "tokens": 28}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\n\n__version__ = \"1.2.0\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/config.py_from_dataclasses_import_d_ScalarConfigSpec.log.False": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/config.py_from_dataclasses_import_d_ScalarConfigSpec.log.False", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 33, "span_ids": ["ScalarConfigSpec", "docstring"], "tokens": 177}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass, field\nfrom typing import Any, Dict, Optional\n\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass\nclass ScalarConfigSpec:\n    \"\"\"Representation of all the options to define\n    a scalar.\n    \"\"\"\n\n    # lower bound if any\n    lower: Optional[float] = None\n\n    # upper bound if any\n    upper: Optional[float] = None\n\n    # initial value\n    # default to the middle point if completely bounded\n    init: Optional[float] = None\n\n    # step size for an update\n    # defaults to 1 if unbounded\n    # or 1/6 of the range if completely bounded\n    step: Optional[float] = None\n\n    # cast to integer\n    integer: bool = False\n\n    # logarithmically distributed\n    log: bool = False", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/config.py_NevergradSweeperConf_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/config.py_NevergradSweeperConf_", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 67, "end_line": 90, "span_ids": ["NevergradSweeperConf", "impl"], "tokens": 165}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass NevergradSweeperConf:\n    _target_: str = (\n        \"hydra_plugins.hydra_nevergrad_sweeper.nevergrad_sweeper.NevergradSweeper\"\n    )\n\n    # configuration of the optimizer\n    optim: OptimConf = OptimConf()\n\n    # default parametrization of the search space\n    # can be specified:\n    # - as a string, like commandline arguments\n    # - as a list, for categorical variables\n    # - as a full scalar specification\n    parametrization: Dict[str, Any] = field(default_factory=dict)\n\n\nConfigStore.instance().store(\n    group=\"hydra/sweeper\",\n    name=\"nevergrad\",\n    node=NevergradSweeperConf,\n    provider=\"nevergrad\",\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/tests/__init__.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/tests/test_nevergrad_sweeper_plugin.py_test_launched_jobs_test_launched_jobs.with_sweep_.assert_sweep_returns_is_N": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/tests/test_nevergrad_sweeper_plugin.py_test_launched_jobs_test_launched_jobs.with_sweep_.assert_sweep_returns_is_N", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/tests/test_nevergrad_sweeper_plugin.py", "file_name": "test_nevergrad_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 50, "end_line": 68, "span_ids": ["test_launched_jobs"], "tokens": 157}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_launched_jobs(hydra_sweep_runner: TSweepRunner) -> None:\n    budget = 8\n    sweep = hydra_sweep_runner(\n        calling_file=None,\n        calling_module=\"hydra.test_utils.a_module\",\n        config_path=\"configs\",\n        config_name=\"compose.yaml\",\n        task_function=None,\n        overrides=[\n            \"hydra/sweeper=nevergrad\",\n            \"hydra/launcher=basic\",\n            f\"hydra.sweeper.optim.budget={budget}\",  # small budget to test fast\n            \"hydra.sweeper.optim.num_workers=3\",\n            \"foo=1,2\",\n            \"bar=4:8\",\n        ],\n    )\n    with sweep:\n        assert sweep.returns is None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/example/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/example/my_app.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_rq_launcher/example/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 21, "span_ids": ["my_app", "impl:3", "docstring"], "tokens": 102}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nimport logging\nimport os\nimport time\n\nimport hydra\nfrom omegaconf import DictConfig\n\nlog = logging.getLogger(__name__)\n\n\n@hydra.main(config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    log.info(f\"Process ID {os.getpid()} executing task {cfg.task} ...\")\n\n    time.sleep(1)\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/__init__.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 4, "span_ids": ["docstring"], "tokens": 28}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\n\n__version__ = \"1.2.0\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/_core.py_launch_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/_core.py_launch_", "embedding": null, "metadata": {"file_path": "plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 51, "end_line": 164, "span_ids": ["StopAfterEnqueue", "launch"], "tokens": 877}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def launch(\n    launcher: RQLauncher, job_overrides: Sequence[Sequence[str]], initial_job_idx: int\n) -> Sequence[JobReturn]:\n    \"\"\"\n    :param job_overrides: a List of List<String>, where each inner list is the arguments for one job run.\n    :param initial_job_idx: Initial job idx in batch.\n    :return: an array of return values from run_job with indexes corresponding to the input list indexes.\n    \"\"\"\n    setup_globals()\n    assert launcher.config is not None\n    assert launcher.task_function is not None\n    assert launcher.hydra_context is not None\n\n    configure_log(launcher.config.hydra.hydra_logging, launcher.config.hydra.verbose)\n    sweep_dir = Path(str(launcher.config.hydra.sweep.dir))\n    sweep_dir.mkdir(parents=True, exist_ok=True)\n\n    # RQ configuration\n    rq_cfg = launcher.rq\n\n    # Redis configuration\n    is_async = not rq_cfg.redis.mock\n    if is_async:\n        connection = Redis(\n            host=rq_cfg.redis.host,\n            port=rq_cfg.redis.port,\n            db=rq_cfg.redis.db,\n            password=rq_cfg.redis.password,\n            ssl=rq_cfg.redis.ssl,\n            ssl_ca_certs=rq_cfg.redis.ssl_ca_certs,\n        )\n    else:\n        log.info(\"Running in synchronous mode\")\n        connection = FakeStrictRedis()\n    queue = Queue(\n        name=rq_cfg.queue,\n        connection=connection,\n        is_async=is_async,\n        serializer=cloudpickle,\n    )\n\n    # Enqueue jobs\n    jobs: List[Any] = []\n    singleton_state = Singleton.get_state()\n    log.info(\n        f\"RQ Launcher is enqueuing {len(job_overrides)} job(s) in queue : {rq_cfg.queue}\"\n    )\n    log.info(\"Sweep output dir : {}\".format(sweep_dir))\n    if not sweep_dir.is_absolute():\n        log.warn(\n            \"Using relative sweep dir: Please be aware that dir will be relative to where workers are started from.\"\n        )\n\n    for idx, overrides in enumerate(job_overrides):\n        description = \" \".join(filter_overrides(overrides))\n\n        enqueue_keywords = OmegaConf.to_container(rq_cfg.enqueue, resolve=True)\n        assert isinstance(enqueue_keywords, dict)\n        if enqueue_keywords[\"job_timeout\"] is None:\n            enqueue_keywords[\"job_timeout\"] = -1\n        if enqueue_keywords[\"result_ttl\"] is None:\n            enqueue_keywords[\"result_ttl\"] = -1\n        if enqueue_keywords[\"failure_ttl\"] is None:\n            enqueue_keywords[\"failure_ttl\"] = -1\n        if enqueue_keywords[\"job_id\"] is None:\n            enqueue_keywords[\"job_id\"] = str(uuid.uuid4())\n        if enqueue_keywords[\"description\"] is None:\n            enqueue_keywords[\"description\"] = description\n\n        sweep_config = launcher.hydra_context.config_loader.load_sweep_config(\n            launcher.config, list(overrides)\n        )\n        with open_dict(sweep_config):\n            sweep_config.hydra.job.id = enqueue_keywords[\"job_id\"]\n            sweep_config.hydra.job.num = initial_job_idx + idx\n\n        job = queue.enqueue(\n            execute_job,\n            hydra_context=launcher.hydra_context,\n            sweep_config=sweep_config,\n            task_function=launcher.task_function,\n            singleton_state=singleton_state,\n            **enqueue_keywords,\n        )\n        jobs.append(job)\n\n        log.info(f\"Enqueued {job.get_id()}\")\n        log.info(f\"\\t#{idx+1} : {description}\")\n\n    log.info(\"Finished enqueuing\")\n    if rq_cfg.stop_after_enqueue:\n        raise StopAfterEnqueue\n\n    log.info(f\"Polling job statuses every {rq_cfg.wait_polling} sec\")\n    while True:\n        job_ids_done = [\n            job.get_id() for job in jobs if job.get_status() in [\"finished\", \"failed\"]\n        ]\n        if len(job_ids_done) == len(jobs):\n            break\n        else:\n            time.sleep(rq_cfg.wait_polling)\n\n    runs: List[JobReturn] = []\n    for job in jobs:\n        result = job.result if job.result is not None else None\n        runs.append(result)\n\n    return runs\n\n\nclass StopAfterEnqueue(Exception):\n    pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/config.py_EnqueueConf_EnqueueConf.description.None": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/config.py_EnqueueConf_EnqueueConf.description.None", "embedding": null, "metadata": {"file_path": "plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 24, "end_line": 39, "span_ids": ["EnqueueConf"], "tokens": 262}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass EnqueueConf:\n    # maximum runtime of the job before it's killed (e.g. \"1d\" for 1 day, units: d/h/m/s), default: no limit\n    job_timeout: Optional[str] = None\n    # maximum queued time before the job before is discarded (e.g. \"1d\" for 1 day, units: d/h/m/s), default: no limit\n    ttl: Optional[str] = None\n    # how long successful jobs and their results are kept (e.g. \"1d\" for 1 day, units: d/h/m/s), default: no limit\n    result_ttl: Optional[str] = None\n    # specifies how long failed jobs are kept (e.g. \"1d\" for 1 day, units: d/h/m/s), default: no limit\n    failure_ttl: Optional[str] = None\n    # place job at the front of the queue, instead of the back\n    at_front: bool = False\n    # job id, will be overidden automatically by a uuid unless specified explicitly\n    job_id: Optional[str] = None\n    # description, will be overidden automatically unless specified explicitly\n    description: Optional[str] = None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/config.py_RQLauncherConf_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/config.py_RQLauncherConf_", "embedding": null, "metadata": {"file_path": "plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 41, "end_line": 59, "span_ids": ["RQLauncherConf", "impl"], "tokens": 149}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass RQLauncherConf:\n    _target_: str = \"hydra_plugins.hydra_rq_launcher.rq_launcher.RQLauncher\"\n    # enqueue configuration\n    enqueue: EnqueueConf = EnqueueConf()\n    # queue name\n    queue: str = \"default\"\n    # redis configuration\n    redis: RedisConf = RedisConf()\n    # stop after enqueueing by raising custom exception\n    stop_after_enqueue: bool = False\n    # wait time in seconds when polling results\n    wait_polling: float = 1.0\n\n\nConfigStore.instance().store(\n    group=\"hydra/launcher\", name=\"rq\", node=RQLauncherConf, provider=\"rq_launcher\"\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/rq_launcher.py_logging_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/rq_launcher.py_logging_", "embedding": null, "metadata": {"file_path": "plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/rq_launcher.py", "file_name": "rq_launcher.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 47, "span_ids": ["RQLauncher.__init__", "RQLauncher.setup", "docstring", "RQLauncher", "RQLauncher.launch"], "tokens": 306}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nfrom typing import Any, Optional, Sequence\n\nfrom hydra.core.utils import JobReturn\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.types import HydraContext, TaskFunction\nfrom omegaconf import DictConfig, OmegaConf\n\nfrom .config import RQLauncherConf\n\nlog = logging.getLogger(__name__)\n\n\nclass RQLauncher(Launcher):\n    def __init__(self, **params: Any) -> None:\n        \"\"\"RQ Launcher\n\n        Launches jobs using RQ (Redis Queue). For details, refer to:\n        https://python-rq.org\n        \"\"\"\n        self.config: Optional[DictConfig] = None\n        self.task_function: Optional[TaskFunction] = None\n        self.hydra_context: Optional[HydraContext] = None\n\n        self.rq = OmegaConf.structured(RQLauncherConf(**params))\n\n    def setup(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> None:\n        self.config = config\n        self.task_function = task_function\n        self.hydra_context = hydra_context\n\n    def launch(\n        self, job_overrides: Sequence[Sequence[str]], initial_job_idx: int\n    ) -> Sequence[JobReturn]:\n        from . import _core\n\n        return _core.launch(\n            launcher=self, job_overrides=job_overrides, initial_job_idx=initial_job_idx\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/tests/__init__.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_rq_launcher/tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/tests/conftest.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/tests/conftest.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_rq_launcher/tests/conftest.py", "file_name": "conftest.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 11, "span_ids": ["env_setup", "docstring"], "tokens": 75}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom typing import Any\n\nfrom pytest import fixture\n\n\n@fixture(autouse=True)\ndef env_setup(monkeypatch: Any) -> None:\n    # Tests use fake redis server by setting REDIS_MOCK to True\n    monkeypatch.setenv(\"REDIS_MOCK\", \"True\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/example/my_app.py_logging_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/example/my_app.py_logging_", "embedding": null, "metadata": {"file_path": "plugins/hydra_submitit_launcher/example/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 22, "span_ids": ["my_app", "impl:3", "docstring"], "tokens": 107}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nimport os\nimport time\n\nimport hydra\nimport submitit\nfrom omegaconf import DictConfig\n\nlog = logging.getLogger(__name__)\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    env = submitit.JobEnvironment()\n    log.info(f\"Process ID {os.getpid()} executing task {cfg.task}, with {env}\")\n    time.sleep(1)\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/__init__.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 4, "span_ids": ["docstring"], "tokens": 28}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\n\n__version__ = \"1.2.0\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/submitit_launcher.py_BaseSubmititLauncher.__call___BaseSubmititLauncher.checkpoint.return.submitit_helpers_DelayedS": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/submitit_launcher.py_BaseSubmititLauncher.__call___BaseSubmititLauncher.checkpoint.return.submitit_helpers_DelayedS", "embedding": null, "metadata": {"file_path": "plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/submitit_launcher.py", "file_name": "submitit_launcher.py", "file_type": "text/x-python", "category": "implementation", "start_line": 45, "end_line": 84, "span_ids": ["BaseSubmititLauncher.__call__", "BaseSubmititLauncher.checkpoint"], "tokens": 307}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class BaseSubmititLauncher(Launcher):\n\n    def __call__(\n        self,\n        sweep_overrides: List[str],\n        job_dir_key: str,\n        job_num: int,\n        job_id: str,\n        singleton_state: Dict[type, Singleton],\n    ) -> JobReturn:\n        # lazy import to ensure plugin discovery remains fast\n        import submitit\n\n        assert self.hydra_context is not None\n        assert self.config is not None\n        assert self.task_function is not None\n\n        Singleton.set_state(singleton_state)\n        setup_globals()\n        sweep_config = self.hydra_context.config_loader.load_sweep_config(\n            self.config, sweep_overrides\n        )\n\n        with open_dict(sweep_config.hydra.job) as job:\n            # Populate new job variables\n            job.id = submitit.JobEnvironment().job_id  # type: ignore\n            sweep_config.hydra.job.num = job_num\n\n        return run_job(\n            hydra_context=self.hydra_context,\n            task_function=self.task_function,\n            config=sweep_config,\n            job_dir_key=job_dir_key,\n            job_subdir_key=\"hydra.sweep.subdir\",\n        )\n\n    def checkpoint(self, *args: Any, **kwargs: Any) -> Any:\n        \"\"\"Resubmit the current callable at its current state with the same initial arguments.\"\"\"\n        # lazy import to ensure plugin discovery remains fast\n        import submitit\n\n        return submitit.helpers.DelayedSubmission(self, *args, **kwargs)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/submitit_launcher.py_BaseSubmititLauncher.launch_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/submitit_launcher.py_BaseSubmititLauncher.launch_", "embedding": null, "metadata": {"file_path": "plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/submitit_launcher.py", "file_name": "submitit_launcher.py", "file_type": "text/x-python", "category": "implementation", "start_line": 90, "end_line": 159, "span_ids": ["SlurmLauncher", "BaseSubmititLauncher.launch", "LocalLauncher"], "tokens": 516}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class BaseSubmititLauncher(Launcher):\n\n    def launch(\n        self, job_overrides: Sequence[Sequence[str]], initial_job_idx: int\n    ) -> Sequence[JobReturn]:\n        # lazy import to ensure plugin discovery remains fast\n        import submitit\n\n        assert self.config is not None\n\n        num_jobs = len(job_overrides)\n        assert num_jobs > 0\n        params = self.params\n        # build executor\n        init_params = {\"folder\": self.params[\"submitit_folder\"]}\n        specific_init_keys = {\"max_num_timeout\"}\n\n        init_params.update(\n            **{\n                f\"{self._EXECUTOR}_{x}\": y\n                for x, y in params.items()\n                if x in specific_init_keys\n            }\n        )\n        init_keys = specific_init_keys | {\"submitit_folder\"}\n        executor = submitit.AutoExecutor(cluster=self._EXECUTOR, **init_params)\n\n        # specify resources/parameters\n        baseparams = set(OmegaConf.structured(BaseQueueConf).keys())\n        params = {\n            x if x in baseparams else f\"{self._EXECUTOR}_{x}\": y\n            for x, y in params.items()\n            if x not in init_keys\n        }\n        executor.update_parameters(**params)\n\n        log.info(\n            f\"Submitit '{self._EXECUTOR}' sweep output dir : \"\n            f\"{self.config.hydra.sweep.dir}\"\n        )\n        sweep_dir = Path(str(self.config.hydra.sweep.dir))\n        sweep_dir.mkdir(parents=True, exist_ok=True)\n        if \"mode\" in self.config.hydra.sweep:\n            mode = int(str(self.config.hydra.sweep.mode), 8)\n            os.chmod(sweep_dir, mode=mode)\n\n        job_params: List[Any] = []\n        for idx, overrides in enumerate(job_overrides):\n            idx = initial_job_idx + idx\n            lst = \" \".join(filter_overrides(overrides))\n            log.info(f\"\\t#{idx} : {lst}\")\n            job_params.append(\n                (\n                    list(overrides),\n                    \"hydra.sweep.dir\",\n                    idx,\n                    f\"job_id_for_{idx}\",\n                    Singleton.get_state(),\n                )\n            )\n\n        jobs = executor.map_array(self, *zip(*job_params))\n        return [j.results()[0] for j in jobs]\n\n\nclass LocalLauncher(BaseSubmititLauncher):\n    _EXECUTOR = \"local\"\n\n\nclass SlurmLauncher(BaseSubmititLauncher):\n    _EXECUTOR = \"slurm\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/tests/__init__.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_submitit_launcher/tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/setup.py_pathlib_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/setup.py_pathlib_", "embedding": null, "metadata": {"file_path": "setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 63, "span_ids": ["docstring"], "tokens": 427}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import pathlib\n\nimport pkg_resources\nfrom setuptools import find_packages, setup\n\nfrom build_helpers.build_helpers import (\n    ANTLRCommand,\n    BuildPyCommand,\n    CleanCommand,\n    Develop,\n    SDistCommand,\n    find_version,\n)\n\nwith pathlib.Path(\"requirements/requirements.txt\").open() as requirements_txt:\n    install_requires = [\n        str(requirement)\n        for requirement in pkg_resources.parse_requirements(requirements_txt)\n    ]\n\n\nwith open(\"README.md\", \"r\") as fh:\n    LONG_DESC = fh.read()\n    setup(\n        cmdclass={\n            \"antlr\": ANTLRCommand,\n            \"clean\": CleanCommand,\n            \"sdist\": SDistCommand,\n            \"build_py\": BuildPyCommand,\n            \"develop\": Develop,\n        },\n        name=\"hydra-core\",\n        version=find_version(\"hydra\", \"__init__.py\"),\n        author=\"Omry Yadan\",\n        author_email=\"omry@fb.com\",\n        description=\"A framework for elegantly configuring complex applications\",\n        license=\"MIT\",\n        long_description=LONG_DESC,\n        long_description_content_type=\"text/markdown\",\n        url=\"https://github.com/facebookresearch/hydra\",\n        keywords=\"command-line configuration yaml tab-completion\",\n        packages=find_packages(include=[\"hydra\"]),\n        include_package_data=True,\n        classifiers=[\n            \"License :: OSI Approved :: MIT License\",\n            \"Development Status :: 4 - Beta\",\n            \"Programming Language :: Python :: 3.6\",\n            \"Programming Language :: Python :: 3.7\",\n            \"Programming Language :: Python :: 3.8\",\n            \"Programming Language :: Python :: 3.9\",\n            \"Programming Language :: Python :: 3.10\",\n            \"Operating System :: POSIX :: Linux\",\n            \"Operating System :: MacOS\",\n            \"Operating System :: Microsoft :: Windows\",\n        ],\n        install_requires=install_requires,\n        entry_points={\"pytest11\": [\"hydra_pytest = hydra.extra.pytest_plugin\"]},\n        # Install development dependencies with\n        # pip install -r requirements/dev.txt -e .\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/jupyter/a_module.py_from_pathlib_import_Path_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/jupyter/a_module.py_from_pathlib_import_Path_", "embedding": null, "metadata": {"file_path": "tests/jupyter/a_module.py", "file_name": "a_module.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 20, "span_ids": ["hydra_initialize_config_dir", "hydra_initialize_config_module", "hydra_initialize", "docstring"], "tokens": 117}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pathlib import Path\n\nfrom hydra import initialize, initialize_config_dir, initialize_config_module\n\n\ndef hydra_initialize() -> None:\n    initialize(version_base=None, config_path=\"../../hydra/test_utils/configs\")\n\n\ndef hydra_initialize_config_dir() -> None:\n    abs_conf_dir = Path.cwd() / \"../../hydra/test_utils/configs\"\n    initialize_config_dir(version_base=None, config_dir=str(abs_conf_dir))\n\n\ndef hydra_initialize_config_module() -> None:\n    initialize_config_module(\n        version_base=None, config_module=\"hydra.test_utils.configs\"\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/discovery_test_plugin/hydra_plugins/discovery_test/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/discovery_test_plugin/hydra_plugins/discovery_test/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/discovery_test_plugin/hydra_plugins/discovery_test/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/discovery_test_plugin/hydra_plugins/discovery_test/__not_hidden_plugin.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/discovery_test_plugin/hydra_plugins/discovery_test/__not_hidden_plugin.py__", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/discovery_test_plugin/hydra_plugins/discovery_test/__not_hidden_plugin.py", "file_name": "__not_hidden_plugin.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 7, "span_ids": ["NotHiddenTestPlugin", "docstring"], "tokens": 35}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom hydra.plugins.plugin import Plugin\n\n\nclass NotHiddenTestPlugin(Plugin):\n    ...", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/discovery_test_plugin/hydra_plugins/discovery_test/_hidden_plugin.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/discovery_test_plugin/hydra_plugins/discovery_test/_hidden_plugin.py__", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/discovery_test_plugin/hydra_plugins/discovery_test/_hidden_plugin.py", "file_name": "_hidden_plugin.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 7, "span_ids": ["HiddenTestPlugin", "docstring"], "tokens": 34}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom hydra.plugins.plugin import Plugin\n\n\nclass HiddenTestPlugin(Plugin):\n    ...", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/discovery_test_plugin/hydra_plugins/discovery_test/discovery_test.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/discovery_test_plugin/hydra_plugins/discovery_test/discovery_test.py__", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/discovery_test_plugin/hydra_plugins/discovery_test/discovery_test.py", "file_name": "discovery_test.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["DiscoveryTestPlugin", "docstring"], "tokens": 76}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nimport os\nfrom pathlib import Path\n\nfrom hydra.plugins.plugin import Plugin\n\nif \"TMP_FILE\" in os.environ:\n    with Path(os.environ[\"TMP_FILE\"]).open(mode=\"a\") as f:\n        f.write(\"imported\\n\")\n\n\nclass DiscoveryTestPlugin(Plugin):\n    ...", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/discovery_test_plugin/tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/discovery_test_plugin/tests/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/discovery_test_plugin/tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/discovery_test_plugin/tests/test_discovery.py_os_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/discovery_test_plugin/tests/test_discovery.py_os_", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/discovery_test_plugin/tests/test_discovery.py", "file_name": "test_discovery.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 28, "span_ids": ["test_number_of_imports", "test_skipped_imports", "docstring"], "tokens": 208}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import os\nfrom pathlib import Path\n\nfrom hydra.core.plugins import Plugins\nfrom hydra.plugins.plugin import Plugin\n\n\ndef test_number_of_imports(tmpdir: Path) -> None:\n    os.environ[\"TMP_FILE\"] = str(tmpdir / \"import.log\")\n    # Tests that this plugin can be discovered via the plugins subsystem when looking at all Plugins\n    assert \"DiscoveryTestPlugin\" in [\n        x.__name__ for x in Plugins.instance().discover(Plugin)\n    ]\n\n    with Path(os.environ[\"TMP_FILE\"]) as f:\n        txt = str(f.read_text())\n        assert txt.split(\"\\n\").count(\"imported\") == 1\n\n\ndef test_skipped_imports(tmpdir: Path) -> None:\n    # Tests that modules starting with an \"_\" (but not \"__\") are skipped\n\n    discovered_plugins = [x.__name__ for x in Plugins.instance().discover(Plugin)]\n    assert \"HiddenTestPlugin\" not in discovered_plugins\n\n    assert \"NotHiddenTestPlugin\" in discovered_plugins", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/initialization_test_app/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/initialization_test_app/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/initialization_test_app/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/initialization_test_app/initialization_test_app/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/initialization_test_app/initialization_test_app/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/initialization_test_app/initialization_test_app/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/initialization_test_app/initialization_test_app/conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/initialization_test_app/initialization_test_app/conf/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/initialization_test_app/initialization_test_app/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/initialization_test_app/initialization_test_app/main.py_os_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/initialization_test_app/initialization_test_app/main.py_os_", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/initialization_test_app/initialization_test_app/main.py", "file_name": "main.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 53, "span_ids": ["main", "impl", "docstring"], "tokens": 442}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import os\nimport sys\n\nfrom hydra import compose, initialize, initialize_config_dir, initialize_config_module\n\n\ndef main() -> None:\n    with initialize(version_base=None, config_path=\"conf\"):\n        cfg = compose(config_name=\"config\", return_hydra_config=True)\n        assert cfg.config == {\"hello\": \"world\"}\n        assert cfg.hydra.job.name == \"main\"\n\n    with initialize(version_base=None, config_path=\"conf\", job_name=\"test_job\"):\n        cfg = compose(config_name=\"config\", return_hydra_config=True)\n        assert cfg.config == {\"hello\": \"world\"}\n        assert cfg.hydra.job.name == \"test_job\"\n\n    abs_config_dir = os.path.abspath(\"initialization_test_app/conf\")\n    with initialize_config_dir(version_base=None, config_dir=abs_config_dir):\n        cfg = compose(config_name=\"config\", return_hydra_config=True)\n        assert cfg.config == {\"hello\": \"world\"}\n        assert cfg.hydra.job.name == \"app\"\n\n    with initialize_config_dir(\n        version_base=None, config_dir=abs_config_dir, job_name=\"test_job\"\n    ):\n        cfg = compose(config_name=\"config\", return_hydra_config=True)\n        assert cfg.config == {\"hello\": \"world\"}\n        assert cfg.hydra.job.name == \"test_job\"\n\n    # Those tests can only work if the module is installed\n    if len(sys.argv) > 1 and sys.argv[1] == \"module_installed\":\n        with initialize_config_module(\n            version_base=None, config_module=\"initialization_test_app.conf\"\n        ):\n            cfg = compose(config_name=\"config\", return_hydra_config=True)\n            assert cfg.config == {\"hello\": \"world\"}\n            assert cfg.hydra.job.name == \"app\"\n\n        with initialize_config_module(\n            version_base=None,\n            config_module=\"initialization_test_app.conf\",\n            job_name=\"test_job\",\n        ):\n            cfg = compose(config_name=\"config\", return_hydra_config=True)\n            assert cfg.config == {\"hello\": \"world\"}\n            assert cfg.hydra.job.name == \"test_job\"\n\n\nif __name__ == \"__main__\":\n    main()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/initialization_test_app/tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/initialization_test_app/tests/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/initialization_test_app/tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/initialization_test_app/tests/test_app.py_subprocess_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/initialization_test_app/tests/test_app.py_subprocess_", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/initialization_test_app/tests/test_app.py", "file_name": "test_app.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 25, "span_ids": ["test_initialization_full_app_installed", "docstring"], "tokens": 135}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import subprocess\nimport sys\nfrom typing import List\n\nfrom pytest import mark, param\n\n\n@mark.parametrize(\n    \"run_cmd\",\n    [\n        param([\"initialization-test-app\", \"module_installed\"], id=\"run_as_app\"),\n        param(\n            [sys.executable, \"-m\", \"initialization_test_app.main\", \"module_installed\"],\n            id=\"run_as_module\",\n        ),\n        param(\n            [sys.executable, \"initialization_test_app/main.py\", \"module_installed\"],\n            id=\"run_as_script\",\n        ),\n    ],\n)\ndef test_initialization_full_app_installed(run_cmd: List[str]) -> None:\n    subprocess.check_call(run_cmd)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/namespace_pkg_config_source_test/namespace_test/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/namespace_pkg_config_source_test/namespace_test/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/namespace_pkg_config_source_test/namespace_test/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/namespace_pkg_config_source_test/namespace_test/test_namespace.py_test_config_in_dir_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/namespace_pkg_config_source_test/namespace_test/test_namespace.py_test_config_in_dir_", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/namespace_pkg_config_source_test/namespace_test/test_namespace.py", "file_name": "test_namespace.py", "file_type": "text/x-python", "category": "test", "start_line": 29, "end_line": 40, "span_ids": ["test_config_in_dir"], "tokens": 138}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_config_in_dir() -> None:\n    with initialize(\n        version_base=None, config_path=\"../some_namespace/namespace_test/dir\"\n    ):\n        config_loader = GlobalHydra.instance().config_loader()\n        assert \"cifar10\" in config_loader.get_group_options(\"dataset\")\n        assert \"imagenet\" in config_loader.get_group_options(\"dataset\")\n        assert \"level1\" in config_loader.list_groups(\"\")\n        assert \"level2\" in config_loader.list_groups(\"level1\")\n        assert \"nested1\" in config_loader.get_group_options(\"level1/level2\")\n        assert \"nested2\" in config_loader.get_group_options(\"level1/level2\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/namespace_pkg_config_source_test/some_namespace/namespace_test/dir/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/namespace_pkg_config_source_test/some_namespace/namespace_test/dir/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/namespace_pkg_config_source_test/some_namespace/namespace_test/dir/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_cfg/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_cfg/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_cfg/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_cfg/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_cfg/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_cfg/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 70}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(_: DictConfig) -> None:\n    pass\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_cfg_groups/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_cfg_groups/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_cfg_groups/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_cfg_groups/conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_cfg_groups/conf/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_cfg_groups/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_cfg_groups/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_cfg_groups/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_cfg_groups/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 16, "span_ids": ["my_app", "impl", "docstring"], "tokens": 78}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom typing import Any\n\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> Any:\n    return cfg\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_cfg_groups_no_header/conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_cfg_groups_no_header/conf/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_cfg_groups_no_header/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_cfg_groups_no_header/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_cfg_groups_no_header/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_cfg_groups_no_header/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 81}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_config_with_free_group/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_config_with_free_group/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_config_with_free_group/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_config_with_free_group/conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_config_with_free_group/conf/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_config_with_free_group/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_config_with_free_group/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_config_with_free_group/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_config_with_free_group/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 71}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(_: DictConfig) -> None:\n    pass\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_custom_launcher/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_custom_launcher/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_custom_launcher/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_custom_launcher/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_custom_launcher/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_custom_launcher/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 62}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(config_name=\"config\")\ndef my_app(_: DictConfig) -> None:\n    pass\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_multiple_config_dirs/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_multiple_config_dirs/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_multiple_config_dirs/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_multiple_config_dirs/dir1/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_multiple_config_dirs/dir1/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_multiple_config_dirs/dir1/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_multiple_config_dirs/dir2/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_multiple_config_dirs/dir2/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_multiple_config_dirs/dir2/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_multiple_config_dirs/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_multiple_config_dirs/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_multiple_config_dirs/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 75}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\".\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_runtime_config_error/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_runtime_config_error/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_runtime_config_error/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 18, "span_ids": ["my_app", "foo", "impl", "docstring"], "tokens": 98}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\ndef foo(cfg: DictConfig) -> None:\n    cfg.foo = \"bar\"  # does not exist in the config\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    foo(cfg)\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_split_cfg/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_split_cfg/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_split_cfg/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_split_cfg/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_split_cfg/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_split_cfg/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 62}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(config_name=\"config\")\ndef my_app(_: DictConfig) -> None:\n    pass\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_without_config/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_without_config/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_without_config/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_without_config/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_without_config/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_without_config/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 61}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(version_base=None)\ndef my_app(_: DictConfig) -> None:\n    pass\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/config_source_test/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/config_source_test/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/config_source_test/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/config_source_test/dir/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/config_source_test/dir/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/config_source_test/dir/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/config_source_test/structured.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/config_source_test/structured.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "tests/test_apps/config_source_test/structured.py", "file_name": "structured.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 108, "span_ids": ["Nesterov", "Adam", "ConfigWithoutExt", "Optimizer", "impl", "ConfigWithUnicode", "Cifar10", "ImageNet", "docstring", "ConfigWithoutGroup"], "tokens": 697}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\nfrom typing import Any\n\nfrom omegaconf import MISSING\n\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass\nclass ConfigWithoutGroup:\n    group: bool = False\n\n\n@dataclass\nclass ConfigWithUnicode:\n    group: str = \"\u6570\u636e\u5e93\"\n\n\n@dataclass\nclass Cifar10:\n    name: str = \"cifar10\"\n    path: str = \"/datasets/cifar10\"\n\n\n@dataclass\nclass ImageNet:\n    name: str = \"imagenet\"\n    path: str = \"/datasets/imagenet\"\n\n\n@dataclass\nclass ConfigWithoutExt:\n    foo: str = \"bar\"\n\n\n@dataclass\nclass Adam:\n    type: str = \"adam\"\n    lr: float = 0.1\n    beta: float = 0.01\n\n\n@dataclass\nclass Nesterov:\n    type: str = \"nesterov\"\n    lr: float = 0.001\n\n\n@dataclass\nclass Optimizer:\n    optimizer: Any = MISSING\n\n\ns = ConfigStore.instance()\ns.store(name=\"config_without_group\", node=ConfigWithoutGroup)\ns.store(name=\"config_with_unicode\", node=ConfigWithUnicode)\ns.store(name=\"dataset\", node={\"dataset_yaml\": True})\ns.store(group=\"dataset\", name=\"cifar10\", node=Cifar10)\ns.store(group=\"dataset\", name=\"imagenet.yaml\", node=ImageNet)\ns.store(group=\"optimizer\", name=\"adam\", node=Adam)\ns.store(group=\"optimizer\", name=\"nesterov\", node=Nesterov)\ns.store(group=\"level1/level2\", name=\"nested1\", node={\"l1_l2_n1\": True})\ns.store(group=\"level1/level2\", name=\"nested2\", node={\"l1_l2_n2\": True})\ns.store(group=\"package_test\", name=\"none\", node={\"foo\": \"bar\"}, package=None)\ns.store(group=\"package_test\", name=\"explicit\", node={\"foo\": \"bar\"}, package=\"a.b\")\ns.store(group=\"package_test\", name=\"global\", node={\"foo\": \"bar\"}, package=\"_global_\")\ns.store(group=\"package_test\", name=\"group\", node={\"foo\": \"bar\"}, package=\"_group_\")\ns.store(\n    group=\"package_test\",\n    name=\"group_name\",\n    node={\"foo\": \"bar\"},\n    package=\"foo._group_._name_\",\n)\ns.store(group=\"package_test\", name=\"name\", node={\"foo\": \"bar\"}, package=\"_name_\")\ns.store(name=\"primary_config\", node={\"primary\": True}, package=None)\ns.store(\n    name=\"primary_config_with_non_global_package\", node={\"primary\": True}, package=\"foo\"\n)\n\ns.store(\n    name=\"config_with_defaults_list\",\n    node={\n        \"defaults\": [{\"dataset\": \"imagenet\"}],\n        \"key\": \"value\",\n    },\n)\n\ns.store(\n    group=\"configs_with_defaults_list\",\n    name=\"global_package\",\n    node={\n        \"defaults\": [{\"foo\": \"bar\"}],\n        \"x\": 10,\n    },\n    package=\"_global_\",\n)\n\ns.store(\n    group=\"configs_with_defaults_list\",\n    name=\"group_package\",\n    node={\n        \"defaults\": [{\"foo\": \"bar\"}],\n        \"x\": 10,\n    },\n    package=\"_group_\",\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/defaults_in_schema_missing/my_app.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/defaults_in_schema_missing/my_app.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "tests/test_apps/defaults_in_schema_missing/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 44, "span_ids": ["impl", "my_app", "Config", "docstring", "MySQLConfig", "impl:5", "DBConfig"], "tokens": 224}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\nfrom typing import Any, List\n\nfrom omegaconf import MISSING, DictConfig, OmegaConf\n\nimport hydra\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass\nclass DBConfig:\n    driver: str = MISSING\n    host: str = \"localhost\"\n    port: int = MISSING\n\n\n@dataclass\nclass MySQLConfig(DBConfig):\n    driver: str = \"mysql\"\n    port: int = 3306\n    user: str = MISSING\n    password: str = MISSING\n\n\n@dataclass\nclass Config:\n    defaults: List[Any] = MISSING\n    db: DBConfig = MISSING\n\n\ncs = ConfigStore.instance()\ncs.store(group=\"db\", name=\"mysql\", node=MySQLConfig, provider=\"main\")\ncs.store(name=\"config\", node=Config, provider=\"main\")\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/defaults_pkg_with_dot/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/defaults_pkg_with_dot/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/defaults_pkg_with_dot/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/defaults_pkg_with_dot/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/defaults_pkg_with_dot/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/defaults_pkg_with_dot/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 72}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(cfg)\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/hydra_main_rerun/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/hydra_main_rerun/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/hydra_main_rerun/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/hydra_main_rerun/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/hydra_main_rerun/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/hydra_main_rerun/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 15, "span_ids": ["my_app", "impl", "docstring"], "tokens": 62}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main()\ndef my_app(_: DictConfig) -> None:\n    pass\n\n\nif __name__ == \"__main__\":\n    my_app()\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/hydra_to_cfg_interpolation/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/hydra_to_cfg_interpolation/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/hydra_to_cfg_interpolation/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 73}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(cfg.c)\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/init_in_app_without_module/main.py_os_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/init_in_app_without_module/main.py_os_", "embedding": null, "metadata": {"file_path": "tests/test_apps/init_in_app_without_module/main.py", "file_name": "main.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 29, "span_ids": ["docstring"], "tokens": 259}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import os\n\nfrom hydra import compose, initialize, initialize_config_dir\n\nif __name__ == \"__main__\":\n    with initialize(version_base=None, config_path=\".\"):\n        cfg = compose(config_name=\"config\", return_hydra_config=True)\n        assert cfg.config == {\"hello\": \"world\"}\n        assert cfg.hydra.job.name == \"main\"\n\n    with initialize(version_base=None, config_path=\".\", job_name=\"test_job\"):\n        cfg = compose(config_name=\"config\", return_hydra_config=True)\n        assert cfg.config == {\"hello\": \"world\"}\n        assert cfg.hydra.job.name == \"test_job\"\n\n    abs_config__dir = os.path.abspath(\"\")\n    with initialize_config_dir(version_base=None, config_dir=abs_config__dir):\n        cfg = compose(config_name=\"config\", return_hydra_config=True)\n        assert cfg.config == {\"hello\": \"world\"}\n        assert cfg.hydra.job.name == \"app\"\n\n    with initialize_config_dir(\n        version_base=None, config_dir=abs_config__dir, job_name=\"test_job\"\n    ):\n        cfg = compose(config_name=\"config\", return_hydra_config=True)\n        assert cfg.config == {\"hello\": \"world\"}\n        assert cfg.hydra.job.name == \"test_job\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/interpolating_dir_hydra_to_app/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/interpolating_dir_hydra_to_app/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/interpolating_dir_hydra_to_app/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/interpolating_dir_hydra_to_app/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/interpolating_dir_hydra_to_app/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/interpolating_dir_hydra_to_app/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 62}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(config_name=\"config\")\ndef my_app(_: DictConfig) -> None:\n    pass\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/multirun_structured_conflict/my_app.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/multirun_structured_conflict/my_app.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "tests/test_apps/multirun_structured_conflict/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 26, "span_ids": ["impl:4", "impl", "TestConfig", "run", "docstring"], "tokens": 112}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\n\nfrom omegaconf import MISSING, DictConfig\n\nimport hydra\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass\nclass TestConfig:\n    param: int = MISSING\n\n\nconfig_store = ConfigStore.instance()\nconfig_store.store(group=\"test\", name=\"default\", node=TestConfig)\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef run(config: DictConfig) -> None:\n    print(config.test.param)\n\n\nif __name__ == \"__main__\":\n    run()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_dir_test/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_dir_test/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/run_dir_test/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_dir_test/my_app.py_time_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_dir_test/my_app.py_time_", "embedding": null, "metadata": {"file_path": "tests/test_apps/run_dir_test/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 22, "span_ids": ["my_app", "impl", "docstring"], "tokens": 118}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import time\nfrom pathlib import Path\n\nfrom omegaconf import DictConfig\n\nimport hydra\nfrom hydra.core.hydra_config import HydraConfig\nfrom hydra.utils import get_original_cwd\n\n\n@hydra.main(version_base=None)\ndef my_app(_: DictConfig) -> None:\n    run_dir = str(Path.cwd().relative_to(get_original_cwd()))\n    time.sleep(2)\n    run_dir_after_sleep = str(Path(HydraConfig.get().run.dir))\n    assert run_dir == run_dir_after_sleep\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/setting_env/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/setting_env/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/setting_env/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/setting_env/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/setting_env/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/setting_env/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 17, "span_ids": ["my_app", "impl", "docstring"], "tokens": 87}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nimport os\n\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(config_name=\"config\")\ndef my_app(_: DictConfig) -> None:\n    print(f\"foo={os.environ['foo']}\")\n    print(f\"bar={os.environ['bar']}\")\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/simple_app/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/simple_app/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/simple_app/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/simple_app/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/simple_app/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/simple_app/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 74}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None)\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg, resolve=True))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/sweep_complex_defaults/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/sweep_complex_defaults/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/sweep_complex_defaults/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/sweep_complex_defaults/conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/sweep_complex_defaults/conf/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/sweep_complex_defaults/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/sweep_complex_defaults/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/sweep_complex_defaults/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/sweep_complex_defaults/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 81}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/sys_exit/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/sys_exit/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/sys_exit/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/sys_exit/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/sys_exit/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/sys_exit/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 16, "span_ids": ["my_app", "impl", "docstring"], "tokens": 67}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nimport sys\n\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(version_base=None)\ndef my_app(_: DictConfig) -> None:\n    sys.exit(42)\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/user-config-dir/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/user-config-dir/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/user-config-dir/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 81}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_is_fish_supported_is_fish_supported.if_version_parse_fish_ver.else_.return.False": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_is_fish_supported_is_fish_supported.if_version_parse_fish_ver.else_.return.False", "embedding": null, "metadata": {"file_path": "tests/test_completion.py", "file_name": "test_completion.py", "file_type": "text/x-python", "category": "test", "start_line": 26, "end_line": 45, "span_ids": ["is_fish_supported"], "tokens": 169}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def is_fish_supported() -> bool:\n    if shutil.which(\"fish\") is None:\n        return False\n\n    proc = subprocess.run(\n        [\"fish\", \"--version\"], stdout=subprocess.PIPE, encoding=\"utf-8\"\n    )\n    matches = re.match(r\".*version\\s+(\\d\\.\\d\\.\\d)(.*)\", proc.stdout)\n    if not matches:\n        return False\n\n    fish_version, git_version = matches.groups()\n\n    # Release after 3.1.2 or git build after 3.1.2 contain space fix.\n    if version.parse(fish_version) > version.parse(\"3.1.2\"):\n        return True\n    elif version.parse(fish_version) >= version.parse(\"3.1.2\") and git_version:\n        return True\n    else:\n        return False", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_create_config_loader_base_completion_list._": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_create_config_loader_base_completion_list._", "embedding": null, "metadata": {"file_path": "tests/test_completion.py", "file_name": "test_completion.py", "file_type": "text/x-python", "category": "test", "start_line": 68, "end_line": 100, "span_ids": ["create_config_loader", "impl:2", "test_bash_completion_with_dot_in_path"], "tokens": 204}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def create_config_loader() -> ConfigLoaderImpl:\n    return ConfigLoaderImpl(\n        config_search_path=create_config_search_path(\n            search_path_dir=os.path.realpath(\"hydra/test_utils/configs/completion_test\")\n        )\n    )\n\n\n@mark.skipif(sys.platform == \"win32\", reason=\"does not run on windows\")\ndef test_bash_completion_with_dot_in_path() -> None:\n    process = subprocess.Popen(\n        \"tests/scripts/test_bash_dot_in_path.bash\",\n        shell=False,\n        stdout=subprocess.PIPE,\n        stderr=subprocess.PIPE,\n        env={\"PATH\": os.environ[\"PATH\"]},\n    )\n    stdout, stderr = process.communicate()\n    assert stderr == b\"\"\n    assert stdout == b\"TRUE\\n\"\n    return\n\n\nbase_completion_list: List[str] = [\n    \"dict.\",\n    \"dict_prefix=\",\n    \"group=\",\n    \"hydra\",\n    \"hydra.\",\n    \"list.\",\n    \"list_prefix=\",\n    \"test_hydra/\",\n]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_test_file_completion_test_file_completion.try_.finally_.os_chdir_pwd_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_test_file_completion_test_file_completion.try_.finally_.os_chdir_pwd_", "embedding": null, "metadata": {"file_path": "tests/test_completion.py", "file_name": "test_completion.py", "file_type": "text/x-python", "category": "test", "start_line": 303, "end_line": 352, "span_ids": ["test_file_completion"], "tokens": 409}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"relative\", [True, False])\n@mark.parametrize(\"line_prefix\", [\"\", \"dict.key1=val1 \"])\n@mark.parametrize(\n    \"key_eq, fname_prefix, files, expected\",\n    [\n        (\"abc=\", \"\", [\"foo.txt\"], [\"foo.txt\"]),\n        (\"abc=\", \"fo\", [\"foo.txt\"], [\"foo.txt\"]),\n        (\"abc=\", \"foo.txt\", [\"foo.txt\"], [\"foo.txt\"]),\n        (\"abc=\", \"foo\", [\"foo1.txt\", \"foo2.txt\"], [\"foo1.txt\", \"foo2.txt\"]),\n        (\"abc=\", \"foo1\", [\"foo1.txt\", \"foo2.txt\"], [\"foo1.txt\"]),\n        (\"abc=\", \"foo/bar\", [], []),\n    ],\n)\ndef test_file_completion(\n    tmpdir: Path,\n    files: List[str],\n    line_prefix: str,\n    key_eq: str,\n    fname_prefix: str,\n    expected: List[str],\n    relative: bool,\n) -> None:\n    def create_files(in_files: List[str]) -> None:\n        for f in in_files:\n            path = Path(f)\n            dirname = path.parent\n            if str(dirname) != \".\":\n                Path.mkdir(dirname, parents=True)\n            Path(f).touch(exist_ok=True)\n\n    config_loader = create_config_loader()\n    try:\n        pwd = os.getcwd()\n        os.chdir(str(tmpdir))\n        create_files(files)\n        bc = DefaultCompletionPlugin(config_loader)\n        probe = line_prefix + key_eq\n        if relative:\n            prefix = \".\" + os.path.sep\n            probe += prefix + fname_prefix\n        else:\n            prefix = os.path.realpath(\".\")\n            probe += os.path.join(prefix, fname_prefix)\n\n        ret = bc._query(config_name=\"config.yaml\", line=probe)\n        assert len(expected) == len(ret)\n        for idx, file in enumerate(expected):\n            assert key_eq + os.path.join(prefix, file) == ret[idx]\n    finally:\n        os.chdir(pwd)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_test_strip_test_strip.assert_result_line_arg": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_test_strip_test_strip.assert_result_line_arg", "embedding": null, "metadata": {"file_path": "tests/test_completion.py", "file_name": "test_completion.py", "file_type": "text/x-python", "category": "test", "start_line": 355, "end_line": 391, "span_ids": ["test_strip"], "tokens": 276}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"prefix\", [\"\", \" \", \"\\t\", \"/foo/bar\", \" /foo/bar/\"])\n@mark.parametrize(\n    \"app_prefix\",\n    [\n        \"python foo.py\",\n        \"hydra_app\",\n        \"hydra_app \",\n        \"hy1-_=ra_app\",\n        \"foo.par\",\n        \"f_o-o1=2.par\",\n        \"python  foo.py\",\n        \"python tutorials/hydra_app/example/hydra_app/main.py\",\n        \"python foo.py\",\n    ],\n)\n@mark.parametrize(\n    \"args_line, args_line_index\",\n    [\n        (\"\", None),\n        (\"foo=bar\", None),\n        (\"foo=bar bar=baz0\", None),\n        (\"\", 0),\n        (\"foo=bar\", 3),\n        (\"foo=bar bar=baz0\", 3),\n        (\"dict.\", 0),\n        (\"dict.\", 5),\n    ],\n)\ndef test_strip(\n    prefix: str, app_prefix: str, args_line: str, args_line_index: int\n) -> None:\n    app_prefix = prefix + app_prefix\n    if args_line:\n        app_prefix = app_prefix + \" \"\n    line = f\"{app_prefix}{args_line}\"\n    result_line = BashCompletion.strip_python_or_app_name(line)\n    assert result_line == args_line", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_test_install_uninstall_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_test_install_uninstall_", "embedding": null, "metadata": {"file_path": "tests/test_completion.py", "file_name": "test_completion.py", "file_type": "text/x-python", "category": "test", "start_line": 394, "end_line": 415, "span_ids": ["test_install_uninstall"], "tokens": 180}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.skipif(sys.platform == \"win32\", reason=\"does not run on windows\")\n@mark.parametrize(\n    \"shell,script,comp_func\",\n    [\n        (\n            \"bash\",\n            \"tests/scripts/test_bash_install_uninstall.sh\",\n            \"hydra_bash_completion\",\n        ),\n        (\n            \"fish\",\n            \"tests/scripts/test_fish_install_uninstall.fish\",\n            \"hydra_fish_completion\",\n        ),\n    ],\n)\ndef test_install_uninstall(shell: str, script: str, comp_func: str) -> None:\n    if shell == \"fish\" and not is_fish_supported():\n        skip(\"fish is not installed or the version is too old\")\n    cmd = [shell, script, \"python hydra/test_utils/completion.py\", comp_func]\n    subprocess.check_call(cmd, env={\"PATH\": os.environ[\"PATH\"]})", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_initialize_with_config_path_test_initialize_with_config_path.assert_idx_1": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_initialize_with_config_path_test_initialize_with_config_path.assert_idx_1", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 99, "end_line": 111, "span_ids": ["test_initialize_with_config_path"], "tokens": 125}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_initialize_with_config_path(hydra_restore_singletons: Any) -> None:\n    assert not GlobalHydra().is_initialized()\n    initialize(version_base=None, config_path=\"../hydra/test_utils/configs\")\n    assert GlobalHydra().is_initialized()\n\n    gh = GlobalHydra.instance()\n    assert gh.hydra is not None\n    config_search_path = gh.hydra.config_loader.get_search_path()\n    assert isinstance(config_search_path, ConfigSearchPathImpl)\n    idx = config_search_path.find_first_match(\n        SearchPathQuery(provider=\"main\", path=None)\n    )\n    assert idx != -1", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_TestComposeInits_TestComposeInits.test_initialize_config_module_ctx.with_initialize_config_mo.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_TestComposeInits_TestComposeInits.test_initialize_config_module_ctx.with_initialize_config_mo.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 160, "end_line": 266, "span_ids": ["TestComposeInits.test_initialize_config_dir_ctx_with_relative_dir", "TestComposeInits.test_initialize_config_module_ctx", "TestComposeInits.test_initialize_ctx", "TestComposeInits"], "tokens": 754}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"hydra_restore_singletons\")\n@mark.parametrize(\n    \"config_file, overrides, expected\",\n    [\n        # empty\n        (None, [], {}),\n        (\n            None,\n            [\"+db=sqlite\"],\n            {\n                \"db\": {\n                    \"driver\": \"sqlite\",\n                    \"user\": \"???\",\n                    \"pass\": \"???\",\n                    \"file\": \"test.db\",\n                }\n            },\n        ),\n        (\n            None,\n            [\"+db=mysql\", \"+environment=production\"],\n            {\"db\": {\"driver\": \"mysql\", \"user\": \"mysql\", \"pass\": \"r4Zn*jQ9JB1Rz2kfz\"}},\n        ),\n        (\n            None,\n            [\"+db=mysql\", \"+environment=production\", \"+application=donkey\"],\n            {\n                \"db\": {\"driver\": \"mysql\", \"user\": \"mysql\", \"pass\": \"r4Zn*jQ9JB1Rz2kfz\"},\n                \"donkey\": {\"name\": \"kong\", \"rank\": \"king\"},\n            },\n        ),\n        (\n            None,\n            [\n                \"+db=mysql\",\n                \"+environment=production\",\n                \"+application=donkey\",\n                \"donkey.name=Dapple\",\n                \"donkey.rank=squire_donkey\",\n            ],\n            {\n                \"db\": {\"driver\": \"mysql\", \"user\": \"mysql\", \"pass\": \"r4Zn*jQ9JB1Rz2kfz\"},\n                \"donkey\": {\"name\": \"Dapple\", \"rank\": \"squire_donkey\"},\n            },\n        ),\n        # load config\n        (\n            \"config\",\n            [],\n            {\n                \"db\": {\n                    \"driver\": \"sqlite\",\n                    \"user\": \"test\",\n                    \"pass\": \"test\",\n                    \"file\": \"test.db\",\n                },\n                \"cloud\": {\"name\": \"local\", \"host\": \"localhost\", \"port\": 9876},\n            },\n        ),\n        (\n            \"config\",\n            [\"environment=production\", \"db=mysql\"],\n            {\n                \"db\": {\"driver\": \"mysql\", \"user\": \"mysql\", \"pass\": \"r4Zn*jQ9JB1Rz2kfz\"},\n                \"cloud\": {\"name\": \"local\", \"host\": \"localhost\", \"port\": 9876},\n            },\n        ),\n    ],\n)\nclass TestComposeInits:\n    def test_initialize_ctx(\n        self, config_file: str, overrides: List[str], expected: Any\n    ) -> None:\n        with initialize(\n            version_base=None,\n            config_path=\"../examples/jupyter_notebooks/cloud_app/conf\",\n        ):\n            ret = compose(config_file, overrides)\n            assert ret == expected\n\n    def test_initialize_config_dir_ctx_with_relative_dir(\n        self, config_file: str, overrides: List[str], expected: Any\n    ) -> None:\n        with raises(\n            HydraException,\n            match=re.escape(\n                \"initialize_config_dir() requires an absolute config_dir as input\"\n            ),\n        ):\n            with initialize_config_dir(\n                config_dir=\"../examples/jupyter_notebooks/cloud_app/conf\",\n                version_base=None,\n                job_name=\"job_name\",\n            ):\n                ret = compose(config_file, overrides)\n                assert ret == expected\n\n    def test_initialize_config_module_ctx(\n        self, config_file: str, overrides: List[str], expected: Any\n    ) -> None:\n        with initialize_config_module(\n            config_module=\"examples.jupyter_notebooks.cloud_app.conf\",\n            version_base=None,\n            job_name=\"job_name\",\n        ):\n            ret = compose(config_file, overrides)\n            assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_initialize_ctx_with_absolute_dir_test_initialize_config_dir_ctx_with_absolute_dir.with_initialize_config_di.assert_ret_test_grou": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_initialize_ctx_with_absolute_dir_test_initialize_config_dir_ctx_with_absolute_dir.with_initialize_config_di.assert_ret_test_grou", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 269, "end_line": 295, "span_ids": ["test_initialize_config_dir_ctx_with_absolute_dir", "test_initialize_ctx_with_absolute_dir"], "tokens": 215}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_initialize_ctx_with_absolute_dir(\n    hydra_restore_singletons: Any, tmpdir: Any\n) -> None:\n    with raises(\n        HydraException, match=re.escape(\"config_path in initialize() must be relative\")\n    ):\n        with initialize(version_base=None, config_path=str(tmpdir)):\n            compose(overrides=[\"+test_group=test\"])\n\n\ndef test_initialize_config_dir_ctx_with_absolute_dir(\n    hydra_restore_singletons: Any, tmpdir: Any\n) -> None:\n    tmpdir = Path(tmpdir)\n    (tmpdir / \"test_group\").mkdir(parents=True)\n    cfg = OmegaConf.create({\"foo\": \"bar\"})\n\n    cfg_file = tmpdir / \"test_group\" / \"test.yaml\"\n    with open(str(cfg_file), \"w\") as f:\n        OmegaConf.save(cfg, f)\n\n    with initialize_config_dir(\n        config_dir=str(tmpdir),\n        version_base=None,\n    ):\n        ret = compose(overrides=[\"+test_group=test\"])\n        assert ret == {\"test_group\": cfg}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_jobname_override_initialize_ctx_test_jobname_override_initialize_config_dir_ctx.with_initialize_config_di.assert_ret_hydra_job_name": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_jobname_override_initialize_ctx_test_jobname_override_initialize_config_dir_ctx.with_initialize_config_di.assert_ret_hydra_job_name", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 298, "end_line": 320, "span_ids": ["test_jobname_override_initialize_ctx", "test_jobname_override_initialize_config_dir_ctx"], "tokens": 187}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"job_name,expected\", [(None, \"test_compose\"), (\"test_job\", \"test_job\")]\n)\ndef test_jobname_override_initialize_ctx(\n    hydra_restore_singletons: Any, job_name: Optional[str], expected: str\n) -> None:\n    with initialize(\n        version_base=None,\n        config_path=\"../examples/jupyter_notebooks/cloud_app/conf\",\n        job_name=job_name,\n    ):\n        ret = compose(return_hydra_config=True)\n        assert ret.hydra.job.name == expected\n\n\ndef test_jobname_override_initialize_config_dir_ctx(\n    hydra_restore_singletons: Any, tmpdir: Any\n) -> None:\n    with initialize_config_dir(\n        config_dir=str(tmpdir), version_base=None, job_name=\"test_job\"\n    ):\n        ret = compose(return_hydra_config=True)\n        assert ret.hydra.job.name == \"test_job\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_initialize_config_module_ctx_test_initialize_config_module_ctx.None_2.assert_ret_hydra_job_name": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_initialize_config_module_ctx_test_initialize_config_module_ctx.None_2.assert_ret_hydra_job_name", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 323, "end_line": 345, "span_ids": ["test_initialize_config_module_ctx"], "tokens": 178}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_initialize_config_module_ctx(hydra_restore_singletons: Any) -> None:\n    with initialize_config_module(\n        config_module=\"examples.jupyter_notebooks.cloud_app.conf\",\n        version_base=None,\n    ):\n        ret = compose(return_hydra_config=True)\n        assert ret.hydra.job.name == \"app\"\n\n    with initialize_config_module(\n        config_module=\"examples.jupyter_notebooks.cloud_app.conf\",\n        job_name=\"test_job\",\n        version_base=None,\n    ):\n        ret = compose(return_hydra_config=True)\n        assert ret.hydra.job.name == \"test_job\"\n\n    with initialize_config_module(\n        config_module=\"examples.jupyter_notebooks.cloud_app.conf\",\n        job_name=\"test_job\",\n        version_base=None,\n    ):\n        ret = compose(return_hydra_config=True)\n        assert ret.hydra.job.name == \"test_job\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader_TestConfigLoader.test_load_with_optional_default.assert_cfg_foo_10_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader_TestConfigLoader.test_load_with_optional_default.assert_cfg_foo_10_", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 42, "end_line": 81, "span_ids": ["TestConfigLoader.test_load_with_optional_default", "TestConfigLoader", "TestConfigLoader.test_load_configuration", "TestConfigLoader.test_load_with_missing_default"], "tokens": 302}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"path\",\n    [\n        param(\"file://hydra/test_utils/configs\", id=\"file\"),\n        param(\"pkg://hydra.test_utils.configs\", id=\"pkg\"),\n    ],\n)\nclass TestConfigLoader:\n    def test_load_configuration(self, path: str) -> None:\n        config_loader = ConfigLoaderImpl(\n            config_search_path=create_config_search_path(path)\n        )\n        cfg = config_loader.load_configuration(\n            config_name=\"config.yaml\",\n            overrides=[\"+abc=123\"],\n            run_mode=RunMode.RUN,\n        )\n        with open_dict(cfg):\n            del cfg[\"hydra\"]\n        assert cfg == {\"normal_yaml_config\": True, \"abc\": 123}\n\n    def test_load_with_missing_default(self, path: str) -> None:\n        config_loader = ConfigLoaderImpl(\n            config_search_path=create_config_search_path(path)\n        )\n        with raises(MissingConfigException):\n            config_loader.load_configuration(\n                config_name=\"missing-default.yaml\", overrides=[], run_mode=RunMode.RUN\n            )\n\n    def test_load_with_optional_default(self, path: str) -> None:\n        config_loader = ConfigLoaderImpl(\n            config_search_path=create_config_search_path(path)\n        )\n        cfg = config_loader.load_configuration(\n            config_name=\"optional-default.yaml\", overrides=[], run_mode=RunMode.RUN\n        )\n        with open_dict(cfg):\n            del cfg[\"hydra\"]\n        assert cfg == {\"foo\": 10}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_override_compose_two_package_one_group_TestConfigLoader.test_override_compose_two_package_one_group.assert_cfg_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_override_compose_two_package_one_group_TestConfigLoader.test_override_compose_two_package_one_group.assert_cfg_expected", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 83, "end_line": 120, "span_ids": ["TestConfigLoader.test_override_compose_two_package_one_group"], "tokens": 309}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"path\",\n    [\n        param(\"file://hydra/test_utils/configs\", id=\"file\"),\n        param(\"pkg://hydra.test_utils.configs\", id=\"pkg\"),\n    ],\n)\nclass TestConfigLoader:\n\n    @mark.parametrize(\n        \"overrides,expected\",\n        [\n            param(\n                [],\n                {\"pkg1\": {\"group1_option1\": True}, \"pkg2\": {\"group1_option1\": True}},\n                id=\"baseline\",\n            ),\n            param(\n                [\"+group1@pkg3=option1\"],\n                {\n                    \"pkg1\": {\"group1_option1\": True},\n                    \"pkg2\": {\"group1_option1\": True},\n                    \"pkg3\": {\"group1_option1\": True},\n                },\n                id=\"append\",\n            ),\n            param(\n                [\"~group1@pkg1\"],\n                {\"pkg2\": {\"group1_option1\": True}},\n                id=\"delete_package\",\n            ),\n        ],\n    )\n    def test_override_compose_two_package_one_group(\n        self, path: str, overrides: List[str], expected: Any\n    ) -> None:\n        config_loader = ConfigLoaderImpl(\n            config_search_path=create_config_search_path(f\"{path}/package_tests\")\n        )\n        cfg = config_loader.load_configuration(\n            config_name=\"two_packages_one_group\",\n            overrides=overrides,\n            run_mode=RunMode.RUN,\n        )\n        with open_dict(cfg):\n            del cfg[\"hydra\"]\n        assert cfg == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_test_defaults_not_list_exception_test_override_hydra_config_value_from_config_file.assert_cfg_hydra_run_dir_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_test_defaults_not_list_exception_test_override_hydra_config_value_from_config_file.assert_cfg_hydra_run_dir_", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 364, "end_line": 386, "span_ids": ["test_override_hydra_config_value_from_config_file", "test_defaults_not_list_exception"], "tokens": 154}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_defaults_not_list_exception() -> None:\n    config_loader = ConfigLoaderImpl(\n        config_search_path=create_config_search_path(\"hydra/test_utils/configs\")\n    )\n    with raises(ValueError):\n        config_loader.load_configuration(\n            config_name=\"defaults_not_list.yaml\",\n            overrides=[],\n            run_mode=RunMode.RUN,\n        )\n\n\ndef test_override_hydra_config_value_from_config_file() -> None:\n    config_loader = ConfigLoaderImpl(\n        config_search_path=create_config_search_path(\"hydra/test_utils/configs\")\n    )\n\n    cfg = config_loader.load_configuration(\n        config_name=\"overriding_output_dir.yaml\",\n        overrides=[],\n        run_mode=RunMode.RUN,\n    )\n    assert cfg.hydra.run.dir == \"foo\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_test_list_groups_test_list_groups.assert_sorted_config_load": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_test_list_groups_test_list_groups.assert_sorted_config_load", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 389, "end_line": 413, "span_ids": ["test_list_groups"], "tokens": 133}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_list_groups() -> None:\n    config_loader = ConfigLoaderImpl(\n        config_search_path=create_config_search_path(\n            \"examples/jupyter_notebooks/cloud_app/conf\"\n        )\n    )\n    groups = config_loader.list_groups(\"\")\n    assert sorted(groups) == [\n        \"application\",\n        \"cloud_provider\",\n        \"db\",\n        \"environment\",\n        \"hydra\",\n    ]\n\n    assert sorted(config_loader.list_groups(\"hydra\")) == [\n        \"env\",\n        \"help\",\n        \"hydra_help\",\n        \"hydra_logging\",\n        \"job_logging\",\n        \"launcher\",\n        \"output\",\n        \"sweeper\",\n    ]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_Plugin_Config.plugin.Plugin_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_Plugin_Config.plugin.Plugin_", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 740, "end_line": 765, "span_ids": ["Plugin", "Config", "InvalidPlugin", "ConcretePlugin", "ConcretePlugin.FoobarParams", "ConcretePlugin:4"], "tokens": 113}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass Plugin:\n    name: str = MISSING\n    params: Any = MISSING\n\n\n@dataclass\nclass ConcretePlugin(Plugin):\n    name: str = \"foobar_plugin\"\n\n    @dataclass\n    class FoobarParams:\n        foo: int = 10\n\n    params: FoobarParams = FoobarParams()\n\n\n@dataclass\n# A plugin that does not extend the parent Plugin class\nclass InvalidPlugin:\n    name: str = \"invalid_plugin\"\n\n\n@dataclass\nclass Config:\n    plugin: Plugin = Plugin()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_test_invalid_plugin_merge_test_job_env_copy.with_env_override_zonk_.assert_cfg_hydra_job_env_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_test_invalid_plugin_merge_test_job_env_copy.with_env_override_zonk_.assert_cfg_hydra_job_env_", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 504, "end_line": 524, "span_ids": ["test_invalid_plugin_merge", "test_job_env_copy"], "tokens": 191}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_invalid_plugin_merge(hydra_restore_singletons: Any) -> Any:\n    cs = ConfigStore.instance()\n    cs.store(name=\"config\", node=Config)\n    cs.store(group=\"plugin\", name=\"invalid\", node=InvalidPlugin)\n\n    cl = ConfigLoaderImpl(config_search_path=create_config_search_path(None))\n    with raises(HydraException):\n        cl.load_configuration(\n            config_name=\"config\", overrides=[\"plugin=invalid\"], run_mode=RunMode.RUN\n        )\n\n\ndef test_job_env_copy() -> None:\n    config_loader = ConfigLoaderImpl(config_search_path=create_config_search_path(None))\n    with env_override({\"zonk\": \"123456\"}):\n        cfg = config_loader.load_configuration(\n            config_name=None,\n            overrides=[\"hydra.job.env_copy=[zonk]\"],\n            run_mode=RunMode.RUN,\n        )\n        assert cfg.hydra.job.env_set == {\"zonk\": \"123456\"}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_repository.py_TestCoreConfigSources_create_config_search_path.return.csp": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_repository.py_TestCoreConfigSources_create_config_search_path.return.csp", "embedding": null, "metadata": {"file_path": "tests/test_config_repository.py", "file_name": "test_config_repository.py", "file_type": "text/x-python", "category": "test", "start_line": 32, "end_line": 59, "span_ids": ["create_config_search_path", "TestCoreConfigSources"], "tokens": 160}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"type_, path\",\n    [\n        param(\n            FileConfigSource,\n            \"file://tests/test_apps/config_source_test/dir\",\n            id=\"FileConfigSource\",\n        ),\n        param(\n            ImportlibResourcesConfigSource,\n            \"pkg://tests.test_apps.config_source_test.dir\",\n            id=\"ImportlibResourcesConfigSource\",\n        ),\n        param(\n            StructuredConfigSource,\n            \"structured://tests.test_apps.config_source_test.structured\",\n            id=\"StructuredConfigSource\",\n        ),\n    ],\n)\nclass TestCoreConfigSources(ConfigSourceTestSuite):\n    pass\n\n\ndef create_config_search_path(path: str) -> ConfigSearchPathImpl:\n    csp = ConfigSearchPathImpl()\n    csp.append(provider=\"test\", path=path)\n    return csp", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_repository.py_TestConfigRepository_TestConfigRepository.test_config_repository_exists.assert_not_repo_config_ex": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_repository.py_TestConfigRepository_TestConfigRepository.test_config_repository_exists.assert_not_repo_config_ex", "embedding": null, "metadata": {"file_path": "tests/test_config_repository.py", "file_name": "test_config_repository.py", "file_type": "text/x-python", "category": "test", "start_line": 62, "end_line": 88, "span_ids": ["TestConfigRepository.test_config_repository_load", "TestConfigRepository", "TestConfigRepository.test_config_repository_exists"], "tokens": 239}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"path\",\n    [\n        \"file://tests/test_apps/config_source_test/dir\",\n        \"pkg://tests.test_apps.config_source_test.dir\",\n    ],\n)\nclass TestConfigRepository:\n    def test_config_repository_load(\n        self, hydra_restore_singletons: Any, path: str\n    ) -> None:\n        Plugins.instance()  # initializes\n        config_search_path = create_config_search_path(path)\n        repo = ConfigRepository(config_search_path=config_search_path)\n        ret = repo.load_config(config_path=\"dataset/imagenet.yaml\")\n        assert ret is not None\n        assert ret.config == {\"name\": \"imagenet\", \"path\": \"/datasets/imagenet\"}\n        assert repo.load_config(config_path=\"not_found.yaml\") is None\n\n    def test_config_repository_exists(\n        self, hydra_restore_singletons: Any, path: str\n    ) -> None:\n        Plugins.instance()  # initializes\n        config_search_path = create_config_search_path(path)\n        repo = ConfigRepository(config_search_path=config_search_path)\n        assert repo.config_exists(\"dataset/imagenet.yaml\")\n        assert not repo.config_exists(\"not_found.yaml\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_search_path.py_os_to_tuples_list.return._x_provider_x_path_for": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_search_path.py_os_to_tuples_list.return._x_provider_x_path_for", "embedding": null, "metadata": {"file_path": "tests/test_config_search_path.py", "file_name": "test_config_search_path.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 22, "span_ids": ["to_tuples_list", "create_search_path", "docstring"], "tokens": 170}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import os\nfrom os.path import realpath\nfrom typing import List, Optional, Tuple\n\nfrom pytest import mark\n\nfrom hydra._internal.config_search_path_impl import ConfigSearchPathImpl\nfrom hydra._internal.utils import compute_search_path_dir\nfrom hydra.core.config_search_path import SearchPathElement, SearchPathQuery\n\n\ndef create_search_path(base_list: List[Tuple[str, str]]) -> ConfigSearchPathImpl:\n    csp = ConfigSearchPathImpl()\n    csp.config_search_path = [SearchPathElement(x[0], x[1]) for x in base_list]\n    return csp\n\n\ndef to_tuples_list(\n    search_path: ConfigSearchPathImpl,\n) -> List[Tuple[Optional[str], Optional[str]]]:\n    return [(x.provider, x.path) for x in search_path.config_search_path]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_search_path.py_test_find_last_match_test_find_last_match.assert_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_search_path.py_test_find_last_match_test_find_last_match.assert_", "embedding": null, "metadata": {"file_path": "tests/test_config_search_path.py", "file_name": "test_config_search_path.py", "file_type": "text/x-python", "category": "test", "start_line": 25, "end_line": 41, "span_ids": ["test_find_last_match"], "tokens": 199}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"input_list, reference, expected_idx\",\n    [\n        ([], (\"\", \"\"), -1),\n        ([(\"a\", \"10\")], (\"a\", None), 0),\n        ([(\"a\", \"10\"), (\"b\", \"20\"), (\"a\", \"30\")], (\"a\", None), 2),\n        ([(\"a\", \"10\"), (\"b\", \"20\"), (\"a\", \"30\")], (\"b\", None), 1),\n        ([(\"a\", \"10\"), (\"b\", \"20\"), (\"a\", \"30\")], (\"a\", \"10\"), 0),\n    ],\n)\ndef test_find_last_match(\n    input_list: List[Tuple[str, str]], reference: str, expected_idx: int\n) -> None:\n    csp = create_search_path(input_list)\n    assert (\n        csp.find_last_match(SearchPathQuery(reference[0], reference[1])) == expected_idx\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_search_path.py_test_find_first_match_test_find_first_match.assert_csp_find_first_mat": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_search_path.py_test_find_first_match_test_find_first_match.assert_csp_find_first_mat", "embedding": null, "metadata": {"file_path": "tests/test_config_search_path.py", "file_name": "test_config_search_path.py", "file_type": "text/x-python", "category": "test", "start_line": 44, "end_line": 59, "span_ids": ["test_find_first_match"], "tokens": 199}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"input_list, reference, expected_idx\",\n    [\n        ([], (\"\", \"\"), -1),\n        ([(\"a\", \"10\")], (\"a\", None), 0),\n        ([(\"a\", \"10\"), (\"b\", \"20\"), (\"a\", \"30\")], (\"a\", None), 0),\n        ([(\"a\", \"10\"), (\"b\", \"20\"), (\"a\", \"30\")], (\"b\", None), 1),\n        ([(\"a\", \"10\"), (\"b\", \"20\"), (\"a\", \"30\")], (\"a\", \"10\"), 0),\n    ],\n)\ndef test_find_first_match(\n    input_list: List[Tuple[str, str]], reference: str, expected_idx: int\n) -> None:\n    csp = create_search_path(input_list)\n    sp = SearchPathQuery(reference[0], reference[1])\n    assert csp.find_first_match(sp) == expected_idx", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_search_path.py_test_append_test_append.assert_to_tuples_list_csp": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_search_path.py_test_append_test_append.assert_to_tuples_list_csp", "embedding": null, "metadata": {"file_path": "tests/test_config_search_path.py", "file_name": "test_config_search_path.py", "file_type": "text/x-python", "category": "test", "start_line": 62, "end_line": 104, "span_ids": ["test_append"], "tokens": 368}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"base_list, provider, path, anchor_provider, result_list\",\n    [\n        # appending to an empty list\n        ([], \"foo\", \"/path\", None, [(\"foo\", \"/path\")]),\n        # appending to a non empty list\n        ([(\"f1\", \"/p1\")], \"f2\", \"/p2\", None, [(\"f1\", \"/p1\"), (\"f2\", \"/p2\")]),\n        # appending after an anchor at key 0\n        (\n            [(\"f1\", \"A\"), (\"f2\", \"B\")],\n            \"f3\",\n            \"B\",\n            SearchPathQuery(None, \"A\"),\n            [(\"f1\", \"A\"), (\"f3\", \"B\"), (\"f2\", \"B\")],\n        ),\n        # appending after an anchor at the end of the list\n        (\n            [(\"f1\", \"A\"), (\"f2\", \"B\")],\n            \"f3\",\n            \"B\",\n            SearchPathQuery(None, \"B\"),\n            [(\"f1\", \"A\"), (\"f2\", \"B\"), (\"f3\", \"B\")],\n        ),\n        # appending after a non existent anchor\n        (\n            [],\n            \"new_provider\",\n            \"/path\",\n            \"unregister_provider\",\n            [(\"new_provider\", \"/path\")],\n        ),\n    ],\n)\ndef test_append(\n    base_list: List[Tuple[str, str]],\n    provider: str,\n    path: str,\n    anchor_provider: SearchPathQuery,\n    result_list: List[Tuple[str, str]],\n) -> None:\n    csp = create_search_path(base_list)\n    csp.append(provider=provider, path=path, anchor=anchor_provider)\n    assert to_tuples_list(csp) == result_list", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_search_path.py_test_prepend_test_prepend.assert_to_tuples_list_csp": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_search_path.py_test_prepend_test_prepend.assert_to_tuples_list_csp", "embedding": null, "metadata": {"file_path": "tests/test_config_search_path.py", "file_name": "test_config_search_path.py", "file_type": "text/x-python", "category": "test", "start_line": 107, "end_line": 149, "span_ids": ["test_prepend"], "tokens": 376}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"base_list, provider, path, anchor_provider, result_list\",\n    [\n        # prepending to an empty list\n        ([], \"foo\", \"/path\", None, [(\"foo\", \"/path\")]),\n        # prepending to a full list\n        (\n            [(\"foo\", \"/path\")],\n            \"foo2\",\n            \"/path2\",\n            None,\n            [(\"foo2\", \"/path2\"), (\"foo\", \"/path\")],\n        ),\n        # prepending in front of an anchor at key 0\n        (\n            [(\"foo\", \"/path\")],\n            \"foo2\",\n            \"/path2\",\n            SearchPathQuery(\"foo\", \"/path\"),\n            [(\"foo2\", \"/path2\"), (\"foo\", \"/path\")],\n        ),\n        # prepending in front of an anchor at key 1\n        (\n            [(\"foo\", \"/path\"), (\"foo2\", \"/path2\")],\n            \"foo3\",\n            \"/path3\",\n            SearchPathQuery(\"foo2\", \"/path2\"),\n            [(\"foo\", \"/path\"), (\"foo3\", \"/path3\"), (\"foo2\", \"/path2\")],\n        ),\n        # prepending in front of a none existing anchor results in prepending to the head of the list\n        ([], \"foo2\", \"/path2\", \"does not exist\", [(\"foo2\", \"/path2\")]),\n    ],\n)\ndef test_prepend(\n    base_list: List[Tuple[str, str]],\n    provider: str,\n    path: str,\n    anchor_provider: SearchPathQuery,\n    result_list: List[Tuple[str, str]],\n) -> None:\n    csp = create_search_path(base_list)\n    csp.prepend(provider=provider, path=path, anchor=anchor_provider)\n    assert to_tuples_list(csp) == result_list", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_search_path.py_test_compute_search_path_dir_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_search_path.py_test_compute_search_path_dir_", "embedding": null, "metadata": {"file_path": "tests/test_config_search_path.py", "file_name": "test_config_search_path.py", "file_type": "text/x-python", "category": "test", "start_line": 152, "end_line": 181, "span_ids": ["test_compute_search_path_dir"], "tokens": 303}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"calling_file, calling_module, config_path, expected\",\n    [\n        (\"foo.py\", None, None, None),\n        (\"foo/bar.py\", None, None, None),\n        (\"foo/bar.py\", None, \"conf\", realpath(\"foo/conf\")),\n        (\"foo/bar.py\", None, \"../conf\", realpath(\"conf\")),\n        (\"c:/foo/bar.py\", None, \"conf\", realpath(\"c:/foo/conf\")),\n        (\"c:/foo/bar.py\", None, \"../conf\", realpath(\"c:/conf\")),\n        (None, \"module\", None, \"pkg://\"),\n        (None, \"package.module\", None, \"pkg://package\"),\n        (None, \"package.module\", \"conf\", \"pkg://package/conf\"),\n        # This is an unusual one. this behavior is intentional.\n        (None, \"package.module\", \"../conf\", \"pkg://conf\"),\n        (None, \"package1.rename_package_to.module\", \"../conf\", \"pkg://package1/conf\"),\n        # prefer directory\n        (\n            \"foo\",\n            \"package1.rename_package_to.module\",\n            \"../conf\",\n            os.path.realpath(os.path.join(os.getcwd(), \"../conf\")),\n        ),\n    ],\n)\ndef test_compute_search_path_dir(\n    calling_file: str, calling_module: str, config_path: str, expected: str\n) -> None:\n    res = compute_search_path_dir(calling_file, calling_module, config_path)\n    assert res == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_core_utils.py_sys_test_accessing_hydra_config.assert_cfg_config_name_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_core_utils.py_sys_test_accessing_hydra_config.assert_cfg_config_name_", "embedding": null, "metadata": {"file_path": "tests/test_core_utils.py", "file_name": "test_core_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 27, "span_ids": ["test_accessing_hydra_config", "docstring"], "tokens": 198}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import sys\nfrom typing import Any\n\nfrom omegaconf import OmegaConf, open_dict\n\nfrom hydra._internal.config_loader_impl import ConfigLoaderImpl\nfrom hydra._internal.utils import create_config_search_path\nfrom hydra.core import utils\nfrom hydra.core.hydra_config import HydraConfig\nfrom hydra.types import RunMode\n\n\ndef test_accessing_hydra_config(hydra_restore_singletons: Any) -> Any:\n    utils.setup_globals()\n\n    config_loader = ConfigLoaderImpl(\n        config_search_path=create_config_search_path(\"pkg://hydra.test_utils.configs\")\n    )\n    cfg = config_loader.load_configuration(\n        config_name=\"accessing_hydra_config\", run_mode=RunMode.RUN, overrides=[]\n    )\n    HydraConfig.instance().set_config(cfg)\n    with open_dict(cfg):\n        del cfg[\"hydra\"]\n    assert cfg.job_name == \"UNKNOWN_NAME\"\n    assert cfg.config_name == \"accessing_hydra_config\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_core_utils.py_test_py_version_resolver_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_core_utils.py_test_py_version_resolver_", "embedding": null, "metadata": {"file_path": "tests/test_core_utils.py", "file_name": "test_core_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 30, "end_line": 37, "span_ids": ["test_py_version_resolver"], "tokens": 138}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_py_version_resolver(hydra_restore_singletons: Any, monkeypatch: Any) -> Any:\n    monkeypatch.setattr(sys, \"version_info\", (3, 7, 2))\n    utils.setup_globals()\n    assert OmegaConf.create({\"key\": \"${python_version:}\"}).key == \"3.7\"\n    assert OmegaConf.create({\"key\": \"${python_version:major}\"}).key == \"3\"\n    assert OmegaConf.create({\"key\": \"${python_version:minor}\"}).key == \"3.7\"\n    assert OmegaConf.create({\"key\": \"${python_version:micro}\"}).key == \"3.7.2\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_examples/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_tutorials_basic.py_re_test_tutorial_simple_cli_app.assert_OmegaConf_create_r": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_tutorials_basic.py_re_test_tutorial_simple_cli_app.assert_OmegaConf_create_r", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_tutorials_basic.py", "file_name": "test_tutorials_basic.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 44, "span_ids": ["test_tutorial_simple_cli_app", "docstring"], "tokens": 267}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import re\nimport subprocess\nfrom pathlib import Path\nfrom typing import Any, List\n\nfrom _pytest.python_api import RaisesContext\nfrom omegaconf import DictConfig, OmegaConf\nfrom pytest import mark, raises\n\nfrom hydra.test_utils.test_utils import (\n    TSweepRunner,\n    TTaskRunner,\n    chdir_hydra_root,\n    run_python_script,\n    verify_dir_outputs,\n)\n\nchdir_hydra_root()\n\n\n@mark.parametrize(\n    \"args,output_conf\",\n    [\n        ([], OmegaConf.create()),\n        (\n            [\"+db.driver=mysql\", \"+db.user=omry\", \"+db.password=secret\"],\n            OmegaConf.create(\n                {\"db\": {\"driver\": \"mysql\", \"user\": \"omry\", \"password\": \"secret\"}}\n            ),\n        ),\n    ],\n)\ndef test_tutorial_simple_cli_app(\n    tmpdir: Path, args: List[str], output_conf: DictConfig\n) -> None:\n    cmd = [\n        \"examples/tutorials/basic/your_first_hydra_app/1_simple_cli/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    cmd.extend(args)\n    result, _err = run_python_script(cmd)\n    assert OmegaConf.create(result) == output_conf", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_tutorials_basic.py_test_tutorial_working_directory_test_tutorial_logging.for_i_in_range_len_lines_.assert_re_findall_re_esca": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_tutorials_basic.py_test_tutorial_working_directory_test_tutorial_logging.for_i_in_range_len_lines_.assert_re_findall_re_esca", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_tutorials_basic.py", "file_name": "test_tutorials_basic.py", "file_type": "text/x-python", "category": "test", "start_line": 47, "end_line": 75, "span_ids": ["test_tutorial_working_directory", "test_tutorial_logging"], "tokens": 251}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_tutorial_working_directory(tmpdir: Path) -> None:\n    cmd = [\n        \"examples/tutorials/basic/running_your_hydra_app/3_working_directory/my_app.py\",\n        f\"hydra.run.dir={tmpdir}\",\n        \"hydra.job.chdir=True\",\n    ]\n    result, _err = run_python_script(cmd)\n    assert result == \"Working directory : {}\".format(tmpdir)\n\n\n@mark.parametrize(\n    \"args,expected\",\n    [\n        ([], [\"Info level message\"]),\n        ([\"hydra.verbose=[__main__]\"], [\"Info level message\", \"Debug level message\"]),\n    ],\n)\ndef test_tutorial_logging(tmpdir: Path, args: List[str], expected: List[str]) -> None:\n    cmd = [\n        \"examples/tutorials/basic/running_your_hydra_app/4_logging/my_app.py\",\n        f\"hydra.run.dir={tmpdir}\",\n        \"hydra.job.chdir=True\",\n    ]\n    cmd.extend(args)\n    result, _err = run_python_script(cmd)\n    lines = result.splitlines()\n    assert len(lines) == len(expected)\n    for i in range(len(lines)):\n        assert re.findall(re.escape(expected[i]), lines[i])", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_tutorials_basic.py_test_tutorial_config_file_test_tutorial_config_file.assert_OmegaConf_create_r": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_tutorials_basic.py_test_tutorial_config_file_test_tutorial_config_file.assert_OmegaConf_create_r", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_tutorials_basic.py", "file_name": "test_tutorials_basic.py", "file_type": "text/x-python", "category": "test", "start_line": 78, "end_line": 97, "span_ids": ["test_tutorial_config_file"], "tokens": 148}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"args,output_conf\",\n    [\n        (\n            [],\n            OmegaConf.create(\n                {\"db\": {\"driver\": \"mysql\", \"password\": \"secret\", \"user\": \"omry\"}}\n            ),\n        )\n    ],\n)\ndef test_tutorial_config_file(tmpdir: Path, args: List[str], output_conf: Any) -> None:\n    cmd = [\n        \"examples/tutorials/basic/your_first_hydra_app/2_config_file/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    cmd.extend(args)\n    result, _err = run_python_script(cmd)\n    assert OmegaConf.create(result) == output_conf", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_tutorials_basic.py_test_tutorial_config_groups_test_tutorial_config_groups.assert_OmegaConf_create_r": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_tutorials_basic.py_test_tutorial_config_groups_test_tutorial_config_groups.assert_OmegaConf_create_r", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_tutorials_basic.py", "file_name": "test_tutorials_basic.py", "file_type": "text/x-python", "category": "test", "start_line": 131, "end_line": 160, "span_ids": ["test_tutorial_config_groups"], "tokens": 184}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"args,output_conf\",\n    [\n        ([], OmegaConf.create()),\n        (\n            [\"+db=postgresql\"],\n            OmegaConf.create(\n                {\n                    \"db\": {\n                        \"driver\": \"postgresql\",\n                        \"password\": \"drowssap\",\n                        \"timeout\": 10,\n                        \"user\": \"postgres_user\",\n                    }\n                }\n            ),\n        ),\n    ],\n)\ndef test_tutorial_config_groups(\n    tmpdir: Path, args: List[str], output_conf: DictConfig\n) -> None:\n    cmd = [\n        \"examples/tutorials/basic/your_first_hydra_app/4_config_groups/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    cmd.extend(args)\n    result, _err = run_python_script(cmd)\n    assert OmegaConf.create(result) == output_conf", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_tutorials_basic.py_test_tutorial_defaults_test_tutorial_defaults.assert_OmegaConf_create_r": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_tutorials_basic.py_test_tutorial_defaults_test_tutorial_defaults.assert_OmegaConf_create_r", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_tutorials_basic.py", "file_name": "test_tutorials_basic.py", "file_type": "text/x-python", "category": "test", "start_line": 163, "end_line": 199, "span_ids": ["test_tutorial_defaults"], "tokens": 251}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"args,expected\",\n    [\n        ([], {\"db\": {\"driver\": \"mysql\", \"pass\": \"secret\", \"user\": \"omry\"}}),\n        (\n            [\"db=postgresql\"],\n            {\n                \"db\": {\n                    \"driver\": \"postgresql\",\n                    \"pass\": \"drowssap\",\n                    \"timeout\": 10,\n                    \"user\": \"postgres_user\",\n                }\n            },\n        ),\n        (\n            [\"db=postgresql\", \"db.timeout=20\"],\n            {\n                \"db\": {\n                    \"driver\": \"postgresql\",\n                    \"pass\": \"drowssap\",\n                    \"timeout\": 20,\n                    \"user\": \"postgres_user\",\n                }\n            },\n        ),\n    ],\n)\ndef test_tutorial_defaults(tmpdir: Path, args: List[str], expected: DictConfig) -> None:\n    cmd = [\n        \"examples/tutorials/basic/your_first_hydra_app/5_defaults/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    cmd.extend(args)\n    result, _err = run_python_script(cmd)\n    assert OmegaConf.create(result) == OmegaConf.create(expected)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_tutorials_basic.py_test_composition_config_example_test_composition_config_example.with_hydra_task_runner_.verify_dir_outputs_task_j": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_tutorials_basic.py_test_composition_config_example_test_composition_config_example.with_hydra_task_runner_.verify_dir_outputs_task_j", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_tutorials_basic.py", "file_name": "test_tutorials_basic.py", "file_type": "text/x-python", "category": "test", "start_line": 195, "end_line": 228, "span_ids": ["test_composition_config_example"], "tokens": 257}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_composition_config_example(\n    hydra_restore_singletons: Any, hydra_task_runner: TTaskRunner\n) -> None:\n    with hydra_task_runner(\n        calling_file=\"examples/tutorials/basic/your_first_hydra_app/6_composition/my_app.py\",\n        calling_module=None,\n        config_path=\"conf\",\n        config_name=\"config.yaml\",\n        overrides=[\"schema=school\"],\n        configure_logging=True,\n    ) as task:\n        assert task.job_ret is not None\n        assert task.job_ret.cfg == {\n            \"db\": {\"driver\": \"mysql\", \"user\": \"omry\", \"pass\": \"secret\"},\n            \"ui\": {\"windows\": {\"create_db\": True, \"view\": True}},\n            \"schema\": {\n                \"database\": \"school\",\n                \"tables\": [\n                    {\n                        \"name\": \"students\",\n                        \"fields\": [{\"name\": \"string\"}, {\"class\": \"int\"}],\n                    },\n                    {\n                        \"name\": \"exams\",\n                        \"fields\": [\n                            {\"profession\": \"string\"},\n                            {\"time\": \"data\"},\n                            {\"class\": \"int\"},\n                        ],\n                    },\n                ],\n            },\n        }\n        verify_dir_outputs(task.job_ret, overrides=task.overrides)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_tutorials_basic.py_test_sweeping_example_test_sweeping_example.with_hydra_sweep_runner_.for_ret_in_sweep_returns_.assert_tuple_ret_override": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_tutorials_basic.py_test_sweeping_example_test_sweeping_example.with_hydra_sweep_runner_.for_ret_in_sweep_returns_.assert_tuple_ret_override", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_tutorials_basic.py", "file_name": "test_tutorials_basic.py", "file_type": "text/x-python", "category": "test", "start_line": 227, "end_line": 247, "span_ids": ["test_sweeping_example"], "tokens": 192}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_sweeping_example(\n    hydra_restore_singletons: Any, hydra_sweep_runner: TSweepRunner\n) -> None:\n    with hydra_sweep_runner(\n        calling_file=\"examples/tutorials/basic/your_first_hydra_app/6_composition/my_app.py\",\n        calling_module=None,\n        config_path=\"conf\",\n        config_name=\"config.yaml\",\n        task_function=None,\n        overrides=[\"schema=warehouse,support\", \"db=mysql,postgresql\"],\n    ) as sweep:\n        overrides = {\n            (\"schema=warehouse\", \"db=mysql\"),\n            (\"schema=warehouse\", \"db=postgresql\"),\n            (\"schema=support\", \"db=mysql\"),\n            (\"schema=support\", \"db=postgresql\"),\n        }\n\n        assert sweep.returns is not None and len(sweep.returns[0]) == 4\n        for ret in sweep.returns[0]:\n            assert tuple(ret.overrides) in overrides", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_os_chdir_hydra_root_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_os_chdir_hydra_root_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 29, "span_ids": ["docstring"], "tokens": 145}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import os\nimport re\nimport subprocess\nimport sys\nfrom logging import getLogger\nfrom pathlib import Path\nfrom textwrap import dedent\nfrom typing import Any, List, Optional, Set\n\nfrom omegaconf import DictConfig, OmegaConf\nfrom pytest import mark, param, raises\n\nfrom hydra import MissingConfigException, version\nfrom hydra.test_utils.test_utils import (\n    TSweepRunner,\n    TTaskRunner,\n    assert_multiline_regex_search,\n    assert_regex_match,\n    assert_text_same,\n    chdir_hydra_root,\n    integration_test,\n    normalize_newlines,\n    run_python_script,\n    run_with_error,\n    verify_dir_outputs,\n)\n\nchdir_hydra_root()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_without_config___no_overrides_test_app_without_config___no_overrides.with_hydra_task_runner_.assert_task_job_ret_cfg_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_without_config___no_overrides_test_app_without_config___no_overrides.with_hydra_task_runner_.assert_task_job_ret_cfg_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 75, "end_line": 95, "span_ids": ["test_app_without_config___no_overrides"], "tokens": 143}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"calling_file, calling_module\",\n    [\n        (\"tests/test_apps/app_without_config/my_app.py\", None),\n        (None, \"tests.test_apps.app_without_config.my_app\"),\n    ],\n)\ndef test_app_without_config___no_overrides(\n    hydra_restore_singletons: Any,\n    hydra_task_runner: TTaskRunner,\n    calling_file: str,\n    calling_module: str,\n) -> None:\n    with hydra_task_runner(\n        calling_file=calling_file,\n        calling_module=calling_module,\n        config_path=None,\n        config_name=None,\n    ) as task:\n        assert task.job_ret is not None\n        assert task.job_ret.cfg == {}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_main_rerun_test_hydra_main_rerun.with_hydra_task_runner_.assert_task_job_ret_cfg_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_main_rerun_test_hydra_main_rerun.with_hydra_task_runner_.assert_task_job_ret_cfg_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 98, "end_line": 118, "span_ids": ["test_hydra_main_rerun"], "tokens": 150}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"calling_file, calling_module\",\n    [\n        (\"tests/test_apps/hydra_main_rerun/my_app.py\", None),\n        (None, \"tests.test_apps.hydra_main_rerun.my_app\"),\n    ],\n)\ndef test_hydra_main_rerun(\n    hydra_restore_singletons: Any,\n    hydra_task_runner: TTaskRunner,\n    calling_file: str,\n    calling_module: str,\n) -> None:\n    with hydra_task_runner(\n        calling_file=calling_file,\n        calling_module=calling_module,\n        config_path=None,\n        config_name=None,\n    ) as task:\n        assert task.job_ret is not None\n        assert task.job_ret.cfg == {}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_without_config__with_append_test_app_without_config__with_append.with_hydra_task_runner_.verify_dir_outputs_task_j": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_without_config__with_append_test_app_without_config__with_append.with_hydra_task_runner_.verify_dir_outputs_task_j", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 121, "end_line": 145, "span_ids": ["test_app_without_config__with_append"], "tokens": 195}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"calling_file, calling_module\",\n    [\n        (\"tests/test_apps/app_without_config/my_app.py\", None),\n        (None, \"tests.test_apps.app_without_config.my_app\"),\n    ],\n)\ndef test_app_without_config__with_append(\n    hydra_restore_singletons: Any,\n    hydra_task_runner: TTaskRunner,\n    calling_file: str,\n    calling_module: str,\n) -> None:\n    with hydra_task_runner(\n        calling_file=calling_file,\n        calling_module=calling_module,\n        config_path=\"\",\n        config_name=None,\n        overrides=[\"+abc=123\", \"+a.b=1\", \"+a.a=2\"],\n        configure_logging=True,\n    ) as task:\n        assert task.job_ret is not None and task.job_ret.cfg == dict(\n            abc=123, a=dict(b=1, a=2)\n        )\n        verify_dir_outputs(task.job_ret, task.overrides)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_with_config_file__no_overrides_test_app_with_config_file__no_overrides.with_task_.verify_dir_outputs_task_j": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_with_config_file__no_overrides_test_app_with_config_file__no_overrides.with_task_.verify_dir_outputs_task_j", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 148, "end_line": 173, "span_ids": ["test_app_with_config_file__no_overrides"], "tokens": 181}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"calling_file, calling_module\",\n    [\n        (\"tests/test_apps/app_with_cfg/my_app.py\", None),\n        (None, \"tests.test_apps.app_with_cfg.my_app\"),\n    ],\n)\ndef test_app_with_config_file__no_overrides(\n    hydra_restore_singletons: Any,\n    hydra_task_runner: TTaskRunner,\n    calling_file: str,\n    calling_module: str,\n) -> None:\n    task = hydra_task_runner(\n        calling_file=calling_file,\n        calling_module=calling_module,\n        config_path=\".\",\n        config_name=\"config.yaml\",\n        configure_logging=True,\n    )\n    with task:\n        assert task.job_ret is not None and task.job_ret.cfg == {\n            \"dataset\": {\"name\": \"imagenet\", \"path\": \"/datasets/imagenet\"}\n        }\n\n        verify_dir_outputs(task.job_ret)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_with_config_file__with_overide_test_app_with_config_file__with_overide.with_hydra_task_runner_.verify_dir_outputs_task_j": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_with_config_file__with_overide_test_app_with_config_file__with_overide.with_hydra_task_runner_.verify_dir_outputs_task_j", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 209, "end_line": 233, "span_ids": ["test_app_with_config_file__with_overide"], "tokens": 192}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"calling_file, calling_module\",\n    [\n        (\"tests/test_apps/app_with_cfg/my_app.py\", None),\n        (None, \"tests.test_apps.app_with_cfg.my_app\"),\n    ],\n)\ndef test_app_with_config_file__with_overide(\n    hydra_restore_singletons: Any,\n    hydra_task_runner: TTaskRunner,\n    calling_file: str,\n    calling_module: str,\n) -> None:\n    with hydra_task_runner(\n        calling_file=calling_file,\n        calling_module=calling_module,\n        config_path=\".\",\n        config_name=\"config.yaml\",\n        overrides=[\"dataset.path=/datasets/imagenet2\"],\n        configure_logging=True,\n    ) as task:\n        assert task.job_ret is not None and task.job_ret.cfg == dict(\n            dataset=dict(name=\"imagenet\", path=\"/datasets/imagenet2\")\n        )\n        verify_dir_outputs(task.job_ret, task.overrides)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_with_split_config_test_app_with_split_config.with_hydra_task_runner_.verify_dir_outputs_task_j": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_with_split_config_test_app_with_split_config.with_hydra_task_runner_.verify_dir_outputs_task_j", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 236, "end_line": 260, "span_ids": ["test_app_with_split_config"], "tokens": 188}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"calling_file, calling_module\",\n    [\n        (\"tests/test_apps/app_with_split_cfg/my_app.py\", None),\n        (None, \"tests.test_apps.app_with_split_cfg.my_app\"),\n    ],\n)\ndef test_app_with_split_config(\n    hydra_restore_singletons: Any,\n    hydra_task_runner: TTaskRunner,\n    calling_file: str,\n    calling_module: str,\n) -> None:\n    with hydra_task_runner(\n        calling_file=calling_file,\n        calling_module=calling_module,\n        config_path=\".\",\n        config_name=\"config.yaml\",\n        configure_logging=True,\n    ) as task:\n        assert task.job_ret is not None and task.job_ret.cfg == dict(\n            dataset=dict(name=\"imagenet\", path=\"/datasets/imagenet\"),\n            optimizer=dict(lr=0.001, type=\"nesterov\"),\n        )\n        verify_dir_outputs(task.job_ret)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_with_config_groups__override_all_configs_test_app_with_config_groups__override_all_configs.with_hydra_task_runner_.verify_dir_outputs_task_j": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_with_config_groups__override_all_configs_test_app_with_config_groups__override_all_configs.with_hydra_task_runner_.verify_dir_outputs_task_j", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 288, "end_line": 312, "span_ids": ["test_app_with_config_groups__override_all_configs"], "tokens": 198}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"calling_file, calling_module\",\n    [\n        (\"tests/test_apps/app_with_cfg_groups/my_app.py\", None),\n        (None, \"tests.test_apps.app_with_cfg_groups.my_app\"),\n    ],\n)\ndef test_app_with_config_groups__override_all_configs(\n    hydra_restore_singletons: Any,\n    hydra_task_runner: TTaskRunner,\n    calling_file: str,\n    calling_module: str,\n) -> None:\n    with hydra_task_runner(\n        calling_file=calling_file,\n        calling_module=calling_module,\n        config_path=\"conf\",\n        config_name=None,\n        overrides=[\"+optimizer=adam\", \"optimizer.lr=10\"],\n        configure_logging=True,\n    ) as task:\n        assert task.job_ret is not None and task.job_ret.cfg == dict(\n            optimizer=dict(type=\"adam\", lr=10, beta=0.01)\n        )\n        verify_dir_outputs(task.job_ret, overrides=task.overrides)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_with_sweep_cfg__override_to_basic_launcher_test_app_with_sweep_cfg__override_to_basic_launcher.with_hydra_task_runner_.assert_len_task_job_ret_h": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_with_sweep_cfg__override_to_basic_launcher_test_app_with_sweep_cfg__override_to_basic_launcher.with_hydra_task_runner_.assert_len_task_job_ret_h", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 315, "end_line": 342, "span_ids": ["test_app_with_sweep_cfg__override_to_basic_launcher"], "tokens": 223}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"calling_file, calling_module\",\n    [\n        (\"tests/test_apps/app_with_custom_launcher/my_app.py\", None),\n        (None, \"tests.test_apps.app_with_custom_launcher.my_app\"),\n    ],\n)\ndef test_app_with_sweep_cfg__override_to_basic_launcher(\n    hydra_restore_singletons: Any,\n    hydra_task_runner: TTaskRunner,\n    calling_file: str,\n    calling_module: str,\n) -> None:\n    with hydra_task_runner(\n        calling_file=calling_file,\n        calling_module=calling_module,\n        config_path=\".\",\n        config_name=\"config.yaml\",\n        overrides=[\"hydra/launcher=basic\"],\n    ) as task:\n        assert task.job_ret is not None\n        assert task.job_ret.hydra_cfg is not None\n        hydra_cfg = task.job_ret.hydra_cfg\n        assert (\n            hydra_cfg.hydra.launcher._target_\n            == \"hydra._internal.core_plugins.basic_launcher.BasicLauncher\"\n        )\n        assert len(task.job_ret.hydra_cfg.hydra.launcher) == 1", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_short_module_name_test_hydra_main_module_override_name.integration_test_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_short_module_name_test_hydra_main_module_override_name.integration_test_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 348, "end_line": 369, "span_ids": ["test_short_module_name", "test_hydra_main_module_override_name"], "tokens": 188}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_short_module_name(tmpdir: Path) -> None:\n    cmd = [\n        \"examples/tutorials/basic/your_first_hydra_app/2_config_file/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    out, _err = run_python_script(cmd)\n    assert OmegaConf.create(out) == {\n        \"db\": {\"driver\": \"mysql\", \"password\": \"secret\", \"user\": \"omry\"}\n    }\n\n\ndef test_hydra_main_module_override_name(tmpdir: Path) -> None:\n    cfg = OmegaConf.create()\n    integration_test(\n        tmpdir=tmpdir,\n        task_config=cfg,\n        overrides=[],\n        prints=\"HydraConfig.get().job.name\",\n        expected_outputs=\"Foo\",\n        env_override={\"HYDRA_MAIN_MODULE\": \"hydra.test_utils.configs.Foo\"},\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_module_env_override_test_module_env_override.assert_OmegaConf_create_r": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_module_env_override_test_module_env_override.assert_OmegaConf_create_r", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 372, "end_line": 387, "span_ids": ["test_module_env_override"], "tokens": 165}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"env_name\", [\"HYDRA_MAIN_MODULE\", \"FB_PAR_MAIN_MODULE\", \"FB_XAR_MAIN_MODULE\"]\n)\ndef test_module_env_override(tmpdir: Path, env_name: str) -> None:\n    \"\"\"\n    Tests that module name overrides are working.\n    \"\"\"\n    cmd = [\n        \"examples/tutorials/basic/your_first_hydra_app/2_config_file/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    modified_env = os.environ.copy()\n    modified_env[env_name] = \"hydra.test_utils.configs.Foo\"\n    result, _err = run_python_script(cmd, env=modified_env)\n    assert OmegaConf.create(result) == {\"normal_yaml_config\": True}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_cfg_test_cfg.for_key_in_expected_keys_.assert_key_in_conf": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_cfg_test_cfg.for_key_in_expected_keys_.assert_key_in_conf", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 390, "end_line": 407, "span_ids": ["test_cfg"], "tokens": 172}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"resolve\", [True, False])\n@mark.parametrize(\n    \"flag,expected_keys\",\n    [(\"--cfg=all\", [\"db\", \"hydra\"]), (\"--cfg=hydra\", [\"hydra\"]), (\"--cfg=job\", [\"db\"])],\n)\ndef test_cfg(tmpdir: Path, flag: str, resolve: bool, expected_keys: List[str]) -> None:\n    cmd = [\n        \"examples/tutorials/basic/your_first_hydra_app/5_defaults/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        flag,\n    ]\n    if resolve:\n        cmd.append(\"--resolve\")\n    result, _err = run_python_script(cmd)\n    conf = OmegaConf.create(result)\n    for key in expected_keys:\n        assert key in conf", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_cfg_with_package_test_cfg_with_package.assert_normalize_newlines": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_cfg_with_package_test_cfg_with_package.assert_normalize_newlines", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 410, "end_line": 465, "span_ids": ["test_cfg_with_package"], "tokens": 318}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"resolve\", [True, False])\n@mark.parametrize(\n    \"flags,expected\",\n    [\n        param(\n            [\"--cfg=job\"],\n            dedent(\n                \"\"\"\\\n                db:\n                  driver: mysql\n                  user: omry\n                  pass: secret\n                \"\"\"\n            ),\n            id=\"no-package\",\n        ),\n        param(\n            [\"--cfg=job\", \"--package=_global_\"],\n            dedent(\n                \"\"\"\\\n                db:\n                  driver: mysql\n                  user: omry\n                  pass: secret\n                \"\"\"\n            ),\n            id=\"package=_global_\",\n        ),\n        param(\n            [\"--cfg=job\", \"--package=db\"],\n            dedent(\n                \"\"\"\\\n                # @package db\n                driver: mysql\n                user: omry\n                pass: secret\n                \"\"\"\n            ),\n            id=\"package=db\",\n        ),\n        param([\"--cfg=job\", \"--package=db.driver\"], \"mysql\\n\", id=\"package=db.driver\"),\n    ],\n)\ndef test_cfg_with_package(\n    tmpdir: Path, flags: List[str], resolve: bool, expected: str\n) -> None:\n    cmd = [\n        \"examples/tutorials/basic/your_first_hydra_app/5_defaults/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ] + flags\n    if resolve:\n        cmd.append(\"--resolve\")\n\n    result, _err = run_python_script(cmd)\n    assert normalize_newlines(result) == expected.rstrip()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_multirun_with_free_override_test_multirun_with_free_override.with_sweep_.None_4": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_multirun_with_free_override_test_multirun_with_free_override.with_sweep_.None_4", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 453, "end_line": 481, "span_ids": ["test_multirun_with_free_override"], "tokens": 286}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"calling_file, calling_module\",\n    [\n        (\"tests/test_apps/app_with_config_with_free_group/my_app.py\", None),\n        (None, \"tests.test_apps.app_with_config_with_free_group.my_app\"),\n    ],\n)\n@mark.parametrize(\"overrides\", [[\"+free_group=opt1,opt2\"]])\ndef test_multirun_with_free_override(\n    hydra_restore_singletons: Any,\n    hydra_sweep_runner: TSweepRunner,\n    calling_file: str,\n    calling_module: str,\n    overrides: List[str],\n) -> None:\n    sweep = hydra_sweep_runner(\n        calling_file=calling_file,\n        calling_module=calling_module,\n        config_path=\"conf/\",\n        config_name=\"config.yaml\",\n        task_function=None,\n        overrides=overrides,\n    )\n    with sweep:\n        assert sweep.returns is not None and len(sweep.returns[0]) == 2\n        assert sweep.returns[0][0].overrides == [\"+free_group=opt1\"]\n        assert sweep.returns[0][0].cfg == {\"group_opt1\": True, \"free_group_opt1\": True}\n        assert sweep.returns[0][1].overrides == [\"+free_group=opt2\"]\n        assert sweep.returns[0][1].cfg == {\"group_opt1\": True, \"free_group_opt2\": True}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_sweep_complex_defaults_test_sweep_complex_defaults.with_hydra_sweep_runner_.assert_sweep_returns_0_1": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_sweep_complex_defaults_test_sweep_complex_defaults.with_hydra_sweep_runner_.assert_sweep_returns_0_1", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 484, "end_line": 507, "span_ids": ["test_sweep_complex_defaults"], "tokens": 212}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"calling_file, calling_module\",\n    [\n        param(\"tests/test_apps/sweep_complex_defaults/my_app.py\", None, id=\"file_path\"),\n        param(None, \"tests.test_apps.sweep_complex_defaults.my_app\", id=\"pkg_path\"),\n    ],\n)\ndef test_sweep_complex_defaults(\n    hydra_restore_singletons: Any,\n    hydra_sweep_runner: TSweepRunner,\n    calling_file: str,\n    calling_module: str,\n) -> None:\n    with hydra_sweep_runner(\n        calling_file=calling_file,\n        calling_module=calling_module,\n        config_path=\"conf\",\n        config_name=\"config.yaml\",\n        task_function=None,\n        overrides=[\"optimizer=adam,nesterov\"],\n    ) as sweep:\n        assert sweep.returns is not None and len(sweep.returns[0]) == 2\n        assert sweep.returns[0][0].overrides == [\"optimizer=adam\"]\n        assert sweep.returns[0][1].overrides == [\"optimizer=nesterov\"]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_interpolating_dir_hydra_to_app_test_sys_exit.assert_subprocess_run_cmd": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_interpolating_dir_hydra_to_app_test_sys_exit.assert_subprocess_run_cmd", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 816, "end_line": 850, "span_ids": ["test_sys_exit", "test_interpolating_dir_hydra_to_app"], "tokens": 257}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"calling_file, calling_module\",\n    [\n        (\"tests/test_apps/interpolating_dir_hydra_to_app/my_app.py\", None),\n        (None, \"tests.test_apps.interpolating_dir_hydra_to_app.my_app\"),\n    ],\n)\ndef test_interpolating_dir_hydra_to_app(\n    hydra_restore_singletons: Any,\n    hydra_task_runner: TTaskRunner,\n    calling_file: str,\n    calling_module: str,\n) -> None:\n    basedir = \"foo\"\n    with hydra_task_runner(\n        calling_file=calling_file,\n        calling_module=calling_module,\n        config_path=\".\",\n        config_name=\"config.yaml\",\n        overrides=[\"experiment.base_dir=\" + basedir],\n    ) as task:\n        assert task.temp_dir is not None\n        path = Path(task.temp_dir) / basedir\n        assert path.exists()\n\n\ndef test_sys_exit(tmpdir: Path) -> None:\n    cmd = [\n        sys.executable,\n        \"-Werror\",\n        \"tests/test_apps/sys_exit/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    assert subprocess.run(cmd).returncode == 42", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_local_run_workdir_test_local_run_workdir.integration_test_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_local_run_workdir_test_local_run_workdir.integration_test_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 883, "end_line": 923, "span_ids": ["test_local_run_workdir"], "tokens": 351}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"task_config, overrides, expected_dir\",\n    [\n        ({\"hydra\": {\"run\": {\"dir\": \"foo\"}}}, [\"hydra.job.chdir=True\"], \"foo\"),\n        ({}, [\"hydra.run.dir=bar\", \"hydra.job.chdir=True\"], \"bar\"),\n        (\n            {\"hydra\": {\"run\": {\"dir\": \"foo\"}}},\n            [\"hydra.run.dir=boom\", \"hydra.job.chdir=True\"],\n            \"boom\",\n        ),\n        (\n            {\n                \"hydra\": {\"run\": {\"dir\": \"foo-${hydra.job.override_dirname}\"}},\n                \"app\": {\"a\": 1, \"b\": 2},\n            },\n            [\"app.a=20\", \"hydra.job.chdir=True\"],\n            \"foo-app.a=20\",\n        ),\n        (\n            {\n                \"hydra\": {\"run\": {\"dir\": \"foo-${hydra.job.override_dirname}\"}},\n                \"app\": {\"a\": 1, \"b\": 2},\n            },\n            [\"app.b=10\", \"app.a=20\", \"hydra.job.chdir=True\"],\n            \"foo-app.a=20,app.b=10\",\n        ),\n    ],\n)\ndef test_local_run_workdir(\n    tmpdir: Path, task_config: DictConfig, overrides: List[str], expected_dir: str\n) -> None:\n    cfg = OmegaConf.create(task_config)\n    assert isinstance(cfg, DictConfig)\n    expected_dir1 = tmpdir / expected_dir\n    integration_test(\n        tmpdir=tmpdir,\n        task_config=cfg,\n        overrides=overrides,\n        prints=\"os.getcwd()\",\n        expected_outputs=str(expected_dir1),\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_config_name_and_path_overrides_test_config_name_and_path_overrides.assert_result_f_confi": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_config_name_and_path_overrides_test_config_name_and_path_overrides.assert_result_f_confi", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 976, "end_line": 991, "span_ids": ["test_config_name_and_path_overrides"], "tokens": 166}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"config_path\", [\"dir1\", \"dir2\"])\n@mark.parametrize(\"config_name\", [\"cfg1\", \"cfg2\"])\ndef test_config_name_and_path_overrides(\n    tmpdir: Path, config_path: str, config_name: str\n) -> None:\n    cmd = [\n        \"tests/test_apps/app_with_multiple_config_dirs/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        f\"--config-name={config_name}\",\n        f\"--config-path={config_path}\",\n    ]\n    result, _err = run_python_script(cmd)\n    # normalize newlines on Windows to make testing easier\n    result = result.replace(\"\\r\\n\", \"\\n\")\n    assert result == f\"{config_path}_{config_name}: true\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_output_dir_test_hydra_output_dir.with_hydra_task_runner_.assert_files_expected_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_output_dir_test_hydra_output_dir.with_hydra_task_runner_.assert_files_expected_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 856, "end_line": 889, "span_ids": ["test_hydra_output_dir"], "tokens": 239}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"overrides, expected_files\",\n    [\n        ([], {\".hydra\"}),\n        ([\"hydra.output_subdir=foo\"], {\"foo\"}),\n        ([\"hydra.output_subdir=null\"], set()),\n    ],\n)\n@mark.parametrize(\n    \"calling_file, calling_module\",\n    [\n        (\"tests/test_apps/app_with_cfg/my_app.py\", None),\n        (None, \"tests.test_apps.app_with_cfg.my_app\"),\n    ],\n)\ndef test_hydra_output_dir(\n    hydra_restore_singletons: Any,\n    hydra_task_runner: TTaskRunner,\n    calling_file: str,\n    calling_module: str,\n    overrides: List[str],\n    expected_files: Set[str],\n) -> None:\n    with hydra_task_runner(\n        calling_file=calling_file,\n        calling_module=calling_module,\n        config_path=None,\n        config_name=None,\n        overrides=overrides,\n    ) as task:\n        assert task.temp_dir is not None\n        path = Path(task.temp_dir)\n        files = set([str(x)[len(task.temp_dir) + 1 :] for x in path.iterdir()])\n        assert files == expected_files", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_module_run_test_module_run.if_error_is_not_None_.else_.assert_OmegaConf_create_r": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_module_run_test_module_run.if_error_is_not_None_.else_.assert_OmegaConf_create_r", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1064, "end_line": 1094, "span_ids": ["test_module_run"], "tokens": 282}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"directory,file,module, error\",\n    [\n        (\n            \"tests/test_apps/run_as_module_1\",\n            \"my_app.py\",\n            \"my_app\",\n            \"Primary config module is empty\",\n        ),\n        (\"tests/test_apps/run_as_module_2\", \"my_app.py\", \"my_app\", None),\n        (\"tests/test_apps/run_as_module_3\", \"module/my_app.py\", \"module.my_app\", None),\n        (\"tests/test_apps/run_as_module_4\", \"module/my_app.py\", \"module.my_app\", None),\n    ],\n)\ndef test_module_run(\n    tmpdir: Any, directory: str, file: str, module: str, error: Optional[str]\n) -> None:\n    cmd = [\n        directory + \"/\" + file,\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    modified_env = os.environ.copy()\n    modified_env[\"PYTHONPATH\"] = directory\n    modified_env[\"HYDRA_MAIN_MODULE\"] = module\n    if error is not None:\n        ret = run_with_error(cmd, modified_env)\n        assert re.search(re.escape(error), ret) is not None\n    else:\n        result, _err = run_python_script(cmd, env=modified_env)\n        assert OmegaConf.create(result) == {\"x\": 10}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_multirun_structured_conflict_test_multirun_structured_conflict.if_error_.else_.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_multirun_structured_conflict_test_multirun_structured_conflict.if_error_.else_.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1097, "end_line": 1153, "span_ids": ["test_multirun_structured_conflict"], "tokens": 484}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"overrides,error,expected\",\n    [\n        param([\"test.param=1\"], False, \"1\", id=\"run:value\"),\n        param(\n            [\"test.param=1,2\"],\n            True,\n            dedent(\n                r\"\"\"\n                Ambiguous value for argument 'test\\.param=1,2'\n                1\\. To use it as a list, use key=\\[value1,value2\\]\n                2\\. To use it as string, quote the value: key=\\\\'value1,value2\\\\'\n                3\\. To sweep over it, add --multirun to your command line\n\n                Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace\\.\"\"\"\n            ).strip(),\n            id=\"run:choice_sweep\",\n        ),\n        param(\n            [\"test.param=[1,2]\"],\n            True,\n            dedent(\n                r\"\"\"\n                Error merging override test.param=\\[1,2\\]\n                Value '\\[1, 2\\]'( of type 'list')? could not be converted to Integer\n                    full_key: test\\.param\n                    object_type=TestConfig\n\n                Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace\\.\"\"\"\n            ).strip(),\n            id=\"run:list_value\",\n        ),\n        param([\"test.param=1\", \"-m\"], False, \"1\", id=\"multirun:value\"),\n        param([\"test.param=1,2\", \"-m\"], False, \"1\\n2\", id=\"multirun:choice_sweep\"),\n    ],\n)\ndef test_multirun_structured_conflict(\n    tmpdir: Any, overrides: List[str], error: bool, expected: Any\n) -> None:\n    cmd = [\n        \"tests/test_apps/multirun_structured_conflict/my_app.py\",\n        \"hydra.sweep.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    cmd.extend(overrides)\n    if error:\n        expected = normalize_newlines(expected)\n        ret = run_with_error(cmd)\n        assert_multiline_regex_search(\n            pattern=expected,\n            string=ret,\n            from_name=\"Expected output\",\n            to_name=\"Actual output\",\n        )\n    else:\n        ret, _err = run_python_script(cmd)\n        assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_TestVariousRuns_TestVariousRuns.test_run_with_missing_default.assert_re_search_re_escap": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_TestVariousRuns_TestVariousRuns.test_run_with_missing_default.assert_re_search_re_escap", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1122, "end_line": 1151, "span_ids": ["TestVariousRuns", "TestVariousRuns.test_run_with_missing_default"], "tokens": 222}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"cmd_base\",\n    [([\"tests/test_apps/simple_app/my_app.py\", \"hydra/hydra_logging=disabled\"])],\n)\nclass TestVariousRuns:\n    @mark.parametrize(\n        \"sweep\",\n        [\n            param(False, id=\"run\"),\n            param(True, id=\"sweep\"),\n        ],\n    )\n    def test_run_with_missing_default(\n        self, cmd_base: List[str], tmpdir: Any, sweep: bool\n    ) -> None:\n        cmd = cmd_base + [\n            \"hydra.sweep.dir=\" + str(tmpdir),\n            \"hydra.job.chdir=True\",\n            \"--config-name=unspecified_mandatory_default\",\n            \"--config-path=../../../hydra/test_utils/configs\",\n        ]\n        if sweep:\n            cmd.append(\"-m\")\n        expected = \"\"\"You must specify 'group1', e.g, group1=<OPTION>\nAvailable options:\n\\tabc.cde\n\\tfile1\n\\tfile2\"\"\"\n        ret = run_with_error(cmd)\n        assert re.search(re.escape(expected), ret) is not None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_TestVariousRuns.test_command_line_interpolations_evaluated_lazily_TestVariousRuns.test_command_line_interpolations_evaluated_lazily.assert_normalize_newlines": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_TestVariousRuns.test_command_line_interpolations_evaluated_lazily_TestVariousRuns.test_command_line_interpolations_evaluated_lazily.assert_normalize_newlines", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1153, "end_line": 1169, "span_ids": ["TestVariousRuns.test_command_line_interpolations_evaluated_lazily"], "tokens": 169}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"cmd_base\",\n    [([\"tests/test_apps/simple_app/my_app.py\", \"hydra/hydra_logging=disabled\"])],\n)\nclass TestVariousRuns:\n\n    def test_command_line_interpolations_evaluated_lazily(\n        self, cmd_base: List[str], tmpdir: Any\n    ) -> None:\n        cmd = cmd_base + [\n            \"hydra.sweep.dir=\" + str(tmpdir),\n            \"hydra.job.chdir=True\",\n            \"+foo=10,20\",\n            \"+bar=${foo}\",\n            \"--multirun\",\n        ]\n        expected = \"\"\"foo: 10\nbar: 10\n\nfoo: 20\nbar: 20\"\"\"\n        ret, _err = run_python_script(cmd)\n        assert normalize_newlines(ret) == normalize_newlines(expected)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_TestVariousRuns.test_multirun_config_overrides_evaluated_lazily_TestVariousRuns.test_multirun_config_overrides_evaluated_lazily.assert_normalize_newlines": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_TestVariousRuns.test_multirun_config_overrides_evaluated_lazily_TestVariousRuns.test_multirun_config_overrides_evaluated_lazily.assert_normalize_newlines", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1171, "end_line": 1187, "span_ids": ["TestVariousRuns.test_multirun_config_overrides_evaluated_lazily"], "tokens": 170}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"cmd_base\",\n    [([\"tests/test_apps/simple_app/my_app.py\", \"hydra/hydra_logging=disabled\"])],\n)\nclass TestVariousRuns:\n\n    def test_multirun_config_overrides_evaluated_lazily(\n        self, cmd_base: List[str], tmpdir: Any\n    ) -> None:\n        cmd = cmd_base + [\n            \"hydra.sweep.dir=\" + str(tmpdir),\n            \"hydra.job.chdir=True\",\n            \"+foo=10,20\",\n            \"+bar=${foo}\",\n            \"--multirun\",\n        ]\n        expected = \"\"\"foo: 10\nbar: 10\n\nfoo: 20\nbar: 20\"\"\"\n        ret, _err = run_python_script(cmd)\n        assert normalize_newlines(ret) == normalize_newlines(expected)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_TestVariousRuns.test_multirun_defaults_override_TestVariousRuns.test_run_pass_list.assert_OmegaConf_create_r": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_TestVariousRuns.test_multirun_defaults_override_TestVariousRuns.test_run_pass_list.assert_OmegaConf_create_r", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1189, "end_line": 1214, "span_ids": ["TestVariousRuns.test_run_pass_list", "TestVariousRuns.test_multirun_defaults_override"], "tokens": 276}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"cmd_base\",\n    [([\"tests/test_apps/simple_app/my_app.py\", \"hydra/hydra_logging=disabled\"])],\n)\nclass TestVariousRuns:\n\n    def test_multirun_defaults_override(self, cmd_base: List[str], tmpdir: Any) -> None:\n        cmd = cmd_base + [\n            \"hydra.sweep.dir=\" + str(tmpdir),\n            \"hydra.job.chdir=True\",\n            \"group1=file1,file2\",\n            \"--multirun\",\n            \"--config-path=../../../hydra/test_utils/configs\",\n            \"--config-name=compose\",\n        ]\n        expected = \"\"\"foo: 10\nbar: 100\n\nfoo: 20\nbar: 100\"\"\"\n        ret, _err = run_python_script(cmd)\n        assert normalize_newlines(ret) == normalize_newlines(expected)\n\n    def test_run_pass_list(self, cmd_base: List[str], tmpdir: Any) -> None:\n        cmd = cmd_base + [\n            \"hydra.sweep.dir=\" + str(tmpdir),\n            \"hydra.job.chdir=True\",\n            \"+foo=[1,2,3]\",\n        ]\n        expected = {\"foo\": [1, 2, 3]}\n        ret, _err = run_python_script(cmd)\n        assert OmegaConf.create(ret) == OmegaConf.create(expected)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_to_job_config_interpolation_test_config_dir_argument.assert_OmegaConf_create_r": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_to_job_config_interpolation_test_config_dir_argument.assert_OmegaConf_create_r", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1247, "end_line": 1284, "span_ids": ["test_config_dir_argument", "test_hydra_to_job_config_interpolation"], "tokens": 285}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_hydra_to_job_config_interpolation(tmpdir: Any) -> Any:\n    cmd = [\n        \"tests/test_apps/hydra_to_cfg_interpolation/my_app.py\",\n        \"hydra.sweep.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"b=${a}\",\n        \"a=foo\",\n    ]\n    expected = \"override_a=foo,b=foo\"\n    result, _err = run_python_script(cmd)\n    assert result == expected.strip()\n\n\n@mark.parametrize(\n    \"overrides,expected\",\n    [\n        param(\n            [\"dataset=imagenet\"], {\"dataset\": {\"name\": \"imagenet\"}}, id=\"no_conf_dir\"\n        ),\n        param(\n            [\"dataset=cifar10\", \"--config-dir=user-dir\"],\n            {\"dataset\": {\"name\": \"cifar10\"}},\n            id=\"no_conf_dir\",\n        ),\n    ],\n)\ndef test_config_dir_argument(\n    monkeypatch: Any, tmpdir: Path, overrides: List[str], expected: DictConfig\n) -> None:\n    monkeypatch.chdir(\"tests/test_apps/user-config-dir\")\n    cmd = [\n        \"my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    cmd.extend(overrides)\n    result, _err = run_python_script(cmd)\n    assert OmegaConf.create(result) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra_cli_errors.py_re_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra_cli_errors.py_re_", "embedding": null, "metadata": {"file_path": "tests/test_hydra_cli_errors.py", "file_name": "test_hydra_cli_errors.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 82, "span_ids": ["test_cli_error", "docstring"], "tokens": 564}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import re\nfrom pathlib import Path\nfrom typing import Any\n\nfrom pytest import mark, param\n\nfrom hydra.test_utils.test_utils import (\n    chdir_hydra_root,\n    normalize_newlines,\n    run_with_error,\n)\n\nchdir_hydra_root()\n\n\n@mark.parametrize(\n    \"override,expected\",\n    [\n        param(\n            \"+key=int(\",\n            \"no viable alternative at input 'int('\",\n            id=\"parse_error_in_function\",\n        ),\n        param(\n            \"+key=sort()\",\n            \"\"\"Error parsing override '+key=sort()'\nValueError while evaluating 'sort()': empty sort input\"\"\",\n            id=\"empty_sort\",\n        ),\n        param(\n            \"key=sort(interval(1,10))\",\n            \"\"\"Error parsing override 'key=sort(interval(1,10))'\nTypeError while evaluating 'sort(interval(1,10))': mismatch type argument args[0]\"\"\",\n            id=\"sort_interval\",\n        ),\n        param(\n            \"+key=choice()\",\n            \"\"\"Error parsing override '+key=choice()'\nValueError while evaluating 'choice()': empty choice is not legal\"\"\",\n            id=\"empty choice\",\n        ),\n        param(\n            [\"+key=choice(choice(a,b))\", \"-m\"],\n            \"\"\"Error parsing override '+key=choice(choice(a,b))'\nValueError while evaluating 'choice(choice(a,b))': nesting choices is not supported\nSee https://hydra.cc/docs/next/advanced/override_grammar/basic for details\n\nSet the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.\n\"\"\",\n            id=\"empty choice\",\n        ),\n        param(\n            \"--config-dir=/dir/not/found\",\n            f\"\"\"Additional config directory '{Path('/dir/not/found').absolute()}' not found\n\nSet the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.\n\"\"\",\n            id=\"config_dir_not_found\",\n        ),\n    ],\n)\ndef test_cli_error(tmpdir: Any, monkeypatch: Any, override: Any, expected: str) -> None:\n    monkeypatch.chdir(\"tests/test_apps/app_without_config/\")\n    if isinstance(override, str):\n        override = [override]\n    cmd = [\"my_app.py\", \"hydra.sweep.dir=\" + str(tmpdir)] + override\n    ret = normalize_newlines(run_with_error(cmd))\n    assert (\n        re.search(\"^\" + re.escape(normalize_newlines(expected.strip())), ret)\n        is not None\n    ), (\n        f\"Result:\"\n        f\"\\n---\"\n        f\"\\n{ret}\"\n        f\"\\n---\"\n        f\"\\nDid not match expected:\"\n        f\"\\n---\"\n        f\"\\n{expected}\"\n        f\"\\n---\"\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_element_test_element.assert_eq_ret_expected_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_element_test_element.assert_eq_ret_expected_", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 48, "end_line": 89, "span_ids": ["test_element"], "tokens": 659}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value,expected\",\n    [\n        param(\"abc\", \"abc\", id=\"value:id\"),\n        param(\"abc123\", \"abc123\", id=\"value:idint\"),\n        param(\"abc-123\", \"abc-123\", id=\"value:id-int\"),\n        param(\"a b c\\t-\\t1 2 3\", \"a b c\\t-\\t1 2 3\", id=\"value:str-ws-in\"),\n        param(\" abc-123 \", \"abc-123\", id=\"value:str-ws-out\"),\n        param(\"123abc\", \"123abc\", id=\"value:str-int-id\"),\n        param(r\"a\\,b\", \"a,b\", id=\"value:str-esc-comma\"),\n        param(r\"a\\:b\", \"a:b\", id=\"value:str-esc-colon\"),\n        param(r\"a\\=b\", \"a=b\", id=\"value:str-esc-equal\"),\n        param(r\"\\ ab\", \" ab\", id=\"value:str-esc-space\"),\n        param(\"ab\\\\\\t\", \"ab\\t\", id=\"value:str-esc-tab\"),\n        param(\"ab\\\\\\\\\", \"ab\\\\\", id=\"value:str-esc-backslash\"),\n        param(r\"\\,\", \",\", id=\"value:str-esc-comma-alone\"),\n        param(r\"f\\(a\\, b\\)\", \"f(a, b)\", id=\"value:str-esc-parentheses\"),\n        param(r\"\\[a\\, b\\]\", \"[a, b]\", id=\"value:str-esc-brackets\"),\n        param(r\"\\{a\\: b\\}\", \"{a: b}\", id=\"value:str-esc-braces\"),\n        param(r\"$\\{foo.bar\\}\", \"${foo.bar}\", id=\"value:str-esc-braces\"),\n        param(\"xyz_${a.b.c}\", \"xyz_${a.b.c}\", id=\"value:str_interpolation\"),\n        param(\"${f:USER,root}\", \"${f:USER,root}\", id=\"value:custom_interpolation\"),\n        param(\"${f.g:USER,root}\", \"${f.g:USER,root}\", id=\"value:custom_interpolation\"),\n        param(\"c:\\\\foo\\\\a-b.txt\", \"c:\\\\foo\\\\a-b.txt\", id=\"value:windows_path\"),\n        # null\n        param(\"null\", None, id=\"value:null\"),\n        # int\n        param(\"1\", 1, id=\"value:int:pos\"),\n        param(\"+1\", 1, id=\"value:int:explicit_pos\"),\n        param(\"1___0___\", \"1___0___\", id=\"value:int:not_an_int\"),\n        # float\n        param(\"0.51\", 0.51, id=\"value:float:positive\"),\n        param(\"10e0\", 10.0, id=\"value:float:exp\"),\n        param(\"+inf\", math.inf, id=\"value:float:plus_inf\"),\n        # bool\n        param(\"true\", True, id=\"value:bool\"),\n        param(\".\", \".\", id=\"value:dot\"),\n    ],\n)\ndef test_element(value: str, expected: Any) -> None:\n    ret = parse_rule(value, \"element\")\n    assert eq(ret, expected)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_value_test_value.if_isinstance_expected_R.else_.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_value_test_value.if_isinstance_expected_R.else_.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 92, "end_line": 182, "span_ids": ["test_value"], "tokens": 1015}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value,expected\",\n    [\n        param(\"abc\", \"abc\", id=\"value:simple\"),\n        param(\"abc \", \"abc\", id=\"value:simple_ws\"),\n        param(\" abc\", \"abc\", id=\"ws_value:simple\"),\n        param(\"[1,2,3]\", [1, 2, 3], id=\"value:list\"),\n        param(\"[1 ]\", [1], id=\"value:list1_ws\"),\n        param(\"[1, 2, 3]\", [1, 2, 3], id=\"value:list_ws\"),\n        param(\"1,2,3\", ChoiceSweep(list=[1, 2, 3], simple_form=True), id=\"sweep:int\"),\n        param(\n            \"1, 2, 3\", ChoiceSweep(list=[1, 2, 3], simple_form=True), id=\"sweep:int_ws\"\n        ),\n        param(\n            \"${a}, ${b}, ${c}\",\n            ChoiceSweep(list=[\"${a}\", \"${b}\", \"${c}\"], simple_form=True),\n            id=\"sweep:interpolations\",\n        ),\n        param(\n            \"[a,b],[c,d]\",\n            ChoiceSweep(list=[[\"a\", \"b\"], [\"c\", \"d\"]], simple_form=True),\n            id=\"sweep:lists\",\n        ),\n        # bool\n        param(\"true\", True, id=\"value:bool\"),\n        param(\"True\", True, id=\"value:bool\"),\n        param(\"TRUE\", True, id=\"value:bool\"),\n        param(\"trUe\", True, id=\"value:bool\"),\n        param(\"false\", False, id=\"value:bool\"),\n        param(\"False\", False, id=\"value:bool\"),\n        param(\"FALSE\", False, id=\"value:bool\"),\n        param(\"faLse\", False, id=\"value:bool\"),\n        # casts\n        param(\"int(10.0)\", 10, id=\"int(10.0)\"),\n        param(\"str(10.0)\", \"10.0\", id=\"str(10.0)\"),\n        param(\"bool(10.0)\", True, id=\"bool(10.0)\"),\n        param(\"float(10)\", 10.0, id=\"float(10)\"),\n        param(\"float(float(10))\", 10.0, id=\"float(float(10))\"),\n        # ordering\n        param(\"sort([2,3,1])\", [1, 2, 3], id=\"sort([2,3,1])\"),\n        param(\"sort([2,3,1],reverse=true)\", [3, 2, 1], id=\"sort([2,3,1],reverse=true)\"),\n        param(\n            \"sort(3,2,1)\",\n            ChoiceSweep(simple_form=True, list=[1, 2, 3], tags=set()),\n            id=\"sort(3,2,1)\",\n        ),\n        param(\n            \"sort(a,c,b,reverse=true)\",\n            ChoiceSweep(simple_form=True, list=[\"c\", \"b\", \"a\"], tags=set()),\n            id=\"sort(a,c,b,reverse=true)\",\n        ),\n        param(\n            \"float(sort(3,2,1))\",\n            ChoiceSweep(simple_form=True, list=[1.0, 2.0, 3.0], tags=set()),\n            id=\"float(sort(3,2,1))\",\n        ),\n        param(\n            \"sort(float(3,2,1))\",\n            ChoiceSweep(simple_form=True, list=[1.0, 2.0, 3.0], tags=set()),\n            id=\"sort(float(3,2,1))\",\n        ),\n        param(\n            \"sort(3,2,str(1))\",\n            raises(\n                HydraException,\n                match=re.escape(\n                    \"TypeError while evaluating 'sort(3,2,str(1))':\"\n                    \" '<' not supported between instances of 'str' and 'int'\"\n                ),\n            ),\n            id=\"sort(3,2,str(1))\",\n        ),\n        param(\n            \"shuffle(1,2,3)\",\n            ChoiceSweep(list=[1, 2, 3], shuffle=True, simple_form=True),\n            id=\"shuffle(1,2,3)\",\n        ),\n        param(\n            \"shuffle(choice(1,2,3))\",\n            ChoiceSweep(list=[1, 2, 3], shuffle=True),\n            id=\"shuffle(choice(1,2,3))\",\n        ),\n    ],\n)\ndef test_value(value: str, expected: Any) -> None:\n    if isinstance(expected, RaisesContext):\n        with expected:\n            parse_rule(value, \"value\")\n    else:\n        ret = parse_rule(value, \"value\")\n        assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_shuffle_sequence_test_shuffle_sequence.if_isinstance_expected_S.else_.assert_False": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_shuffle_sequence_test_shuffle_sequence.if_isinstance_expected_S.else_.assert_False", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 210, "end_line": 262, "span_ids": ["test_shuffle_sequence"], "tokens": 430}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value,expected\",\n    [\n        # list\n        param(\"x=shuffle([1,2,3])\", [1, 2, 3], id=\"shuffle:list\"),\n        param(\"x=shuffle(list=[1,2,3])\", [1, 2, 3], id=\"shuffle:list\"),\n        # choice\n        param(\n            \"x=shuffle(1,2,3)\",\n            ChoiceSweep(list=[1, 2, 3], simple_form=True, shuffle=True),\n            id=\"x=shuffle:choice:simple\",\n        ),\n        param(\n            \"x=shuffle(choice(1,2,3))\",\n            ChoiceSweep(list=[1, 2, 3], shuffle=True),\n            id=\"shuffle:choice\",\n        ),\n        # range\n        param(\n            \"x=shuffle(range(1,10))\",\n            ChoiceSweep(list=[1, 2, 3, 4, 5, 6, 7, 8, 9], shuffle=True),\n            id=\"shuffle:range\",\n        ),\n    ],\n)\ndef test_shuffle_sequence(value: str, expected: Any) -> None:\n    ret = parser.parse_override(value)\n    if isinstance(expected, Sweep):\n        actual = list(ret.sweep_string_iterator())\n        if isinstance(expected, ChoiceSweep):\n            expected_str_list = list(map(str, expected.list))\n        elif isinstance(expected, RangeSweep):\n            expected_str_list = list(map(str, expected.range()))\n        else:\n            assert False\n\n        assert sorted(expected_str_list) == sorted(actual)\n\n        for i in range(1, 10):\n            actual = list(ret.sweep_string_iterator())\n            if actual != expected_str_list:\n                return\n        assert False\n    else:\n        val = ret.value()\n        assert isinstance(val, list)\n        assert sorted(val) == expected\n\n        for i in range(1, 10):\n            ret1 = parser.parse_override(value).value()\n            if ret1 != expected:\n                return\n        assert False", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_choice_sweep_test_choice_sweep.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_choice_sweep_test_choice_sweep.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 313, "end_line": 329, "span_ids": ["test_choice_sweep"], "tokens": 190}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value,expected\",\n    [\n        param(\"choice(a)\", ChoiceSweep(list=[\"a\"]), id=\"sweep:choice(a)\"),\n        param(\"choice(a,b)\", ChoiceSweep(list=[\"a\", \"b\"]), id=\"sweep:choice(a,b)\"),\n        param(\"choice (a,b)\", ChoiceSweep(list=[\"a\", \"b\"]), id=\"sweep:choice (a,b)\"),\n        param(\n            \"choice( 10 , 20 )\",\n            ChoiceSweep(list=[10, 20]),\n            id=\"sweep:choice( 10 , 20 )\",\n        ),\n        param(\"choice(str(10))\", ChoiceSweep(list=[\"10\"]), id=\"choice(str(10))\"),\n    ],\n)\ndef test_choice_sweep(value: str, expected: Any) -> None:\n    ret = parse_rule(value, \"function\")\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_simple_choice_sweep_test_simple_choice_sweep.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_simple_choice_sweep_test_simple_choice_sweep.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 332, "end_line": 351, "span_ids": ["test_simple_choice_sweep"], "tokens": 183}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value,expected\",\n    [\n        param(\"a,b\", ChoiceSweep(list=[\"a\", \"b\"], simple_form=True), id=\"a,b\"),\n        param(\n            \"a,10,3.14\",\n            ChoiceSweep(list=[\"a\", 10, 3.14], simple_form=True),\n            id=\"a,10,3.14\",\n        ),\n        param(\"a , b\", ChoiceSweep(list=[\"a\", \"b\"], simple_form=True), id=\"a , b\"),\n        param(\n            \"${a},${b}\",\n            ChoiceSweep(list=[\"${a}\", \"${b}\"], simple_form=True),\n            id=\"${a},${a}\",\n        ),\n    ],\n)\ndef test_simple_choice_sweep(value: str, expected: Any) -> None:\n    ret = parse_rule(value, \"simpleChoiceSweep\")\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_range_sweep_test_range_sweep.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_range_sweep_test_range_sweep.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 384, "end_line": 422, "span_ids": ["test_range_sweep"], "tokens": 448}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value,expected\",\n    [\n        param(\"range(10,11)\", RangeSweep(start=10, stop=11, step=1), id=\"ints\"),\n        param(\"range (10,11)\", RangeSweep(start=10, stop=11, step=1), id=\"ints\"),\n        param(\n            \"range(1,10,2)\", RangeSweep(start=1, stop=10, step=2), id=\"ints_with_step\"\n        ),\n        param(\n            \"range(start=1,stop=10,step=2)\",\n            RangeSweep(start=1, stop=10, step=2),\n            id=\"ints_with_step\",\n        ),\n        param(\n            \"range(1.0, 3.14)\", RangeSweep(start=1.0, stop=3.14, step=1), id=\"floats\"\n        ),\n        param(\n            \"range(1.0, 3.14, 0.1)\",\n            RangeSweep(start=1.0, stop=3.14, step=0.1),\n            id=\"floats_with_step\",\n        ),\n        param(\"range(10)\", RangeSweep(start=0, stop=10, step=1), id=\"no_start\"),\n        param(\"range(-10)\", RangeSweep(start=0, stop=-10, step=1), id=\"no_start_empty\"),\n        param(\n            \"range(-10, step=-1)\",\n            RangeSweep(start=0, stop=-10, step=-1),\n            id=\"no_start_negative\",\n        ),\n        param(\"range(5.5)\", RangeSweep(start=0, stop=5.5, step=1), id=\"no_start_float\"),\n        param(\n            \"range(5.5, step=0.5)\",\n            RangeSweep(start=0, stop=5.5, step=0.5),\n            id=\"no_start_step_float\",\n        ),\n    ],\n)\ndef test_range_sweep(value: str, expected: Any) -> None:\n    ret = parse_rule(value, \"function\")\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_interval_sweep_test_interval_sweep.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_interval_sweep_test_interval_sweep.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 382, "end_line": 402, "span_ids": ["test_interval_sweep"], "tokens": 182}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value,expected\",\n    [\n        param(\n            \"interval(10,11)\", IntervalSweep(start=10.0, end=11.0), id=\"interval(10,11)\"\n        ),\n        param(\n            \"interval(2.72,3.14)\", IntervalSweep(start=2.72, end=3.14), id=\"interval\"\n        ),\n        param(\n            \"interval(start=2.72,end=3.14)\",\n            IntervalSweep(start=2.72, end=3.14),\n            id=\"interval:named\",\n        ),\n    ],\n)\ndef test_interval_sweep(value: str, expected: Any) -> None:\n    ret: IntervalSweep = parse_rule(value, \"function\")\n    assert type(ret.start) is float\n    assert type(ret.end) is float\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_parse_errors_test_parse_errors.with_expected_.parse_rule_value_rule_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_parse_errors_test_parse_errors.with_expected_.parse_rule_value_rule_", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 435, "end_line": 516, "span_ids": ["test_parse_errors"], "tokens": 537}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"rule,value,expected\",\n    [\n        # errors\n        param(\n            \"primitive\",\n            \" \",\n            raises(\n                HydraException,\n                match=re.escape(\"Trying to parse a primitive that is all whitespaces\"),\n            ),\n            id=\"error:value:whitespace\",\n        ),\n        param(\n            \"value\",\n            \"[\",\n            raises(\n                HydraException, match=re.escape(\"no viable alternative at input '['\")\n            ),\n            id=\"error:partial_list\",\n        ),\n        param(\n            \"override\",\n            \"key=[]aa\",\n            raises(\n                HydraException, match=re.escape(\"extraneous input 'aa' expecting <EOF>\")\n            ),\n            id=\"error:left_overs\",\n        ),\n        param(\n            \"listContainer\",\n            r\"['a\\', 'b']\",\n            raises(HydraException, match=re.escape(\"token recognition error at: '']'\")),\n            id=\"error:list_bad_escaping\",\n        ),\n        param(\n            \"override\",\n            \"key=[1,2,3]'\",\n            raises(HydraException, match=re.escape(\"token recognition error at: '''\")),\n            id=\"error:left_overs\",\n        ),\n        param(\n            \"dictContainer\",\n            \"{'0a': 0, \\\"1b\\\": 1}\",\n            raises(HydraException, match=re.escape(\"mismatched input ''0a''\")),\n            id=\"error:dict_quoted_key_dictContainer\",\n        ),\n        param(\n            \"dictContainer\",\n            r\"{a: 'a\\', b: 'b'}\",\n            raises(HydraException, match=re.escape(\"token recognition error at: ''}'\")),\n            id=\"error:dict_bad_escaping\",\n        ),\n        param(\n            \"override\",\n            \"key={' abc ': 0}\",\n            raises(\n                HydraException,\n                match=re.escape(\"no viable alternative at input '{' abc ''\"),\n            ),\n            id=\"error:dict_quoted_key_override_single\",\n        ),\n        param(\n            \"override\",\n            'key={\" abc \": 0}',\n            raises(\n                HydraException,\n                match=re.escape(\"\"\"no viable alternative at input '{\" abc \"'\"\"\"),\n            ),\n            id=\"error:dict_quoted_key_override_double\",\n        ),\n        param(\n            \"override\",\n            \"$foo/bar=foobar\",\n            raises(HydraException, match=re.escape(\"mismatched input '/'\")),\n            id=\"error:dollar_in_group\",\n        ),\n    ],\n)\ndef test_parse_errors(rule: str, value: str, expected: Any) -> None:\n    with expected:\n        parse_rule(value, rule)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_key_test_key.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_key_test_key.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 548, "end_line": 576, "span_ids": ["test_key"], "tokens": 280}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value,expected\",\n    [\n        param(\"abc\", Key(key_or_group=\"abc\"), id=\"abc\"),\n        param(\"abc/cde\", Key(key_or_group=\"abc/cde\"), id=\"abc/cde\"),\n        param(\"abc.cde\", Key(key_or_group=\"abc.cde\"), id=\"abc.cde\"),\n        param(\"$foo\", Key(key_or_group=\"$foo\"), id=\"dollar\"),\n        param(\"$foo.bar$.x$z\", Key(key_or_group=\"$foo.bar$.x$z\"), id=\"dollar_dotpath\"),\n        param(\"list.0\", Key(key_or_group=\"list.0\"), id=\"list.0\"),\n        param(\n            \"package_or_group@pkg1\",\n            Key(key_or_group=\"package_or_group\", package=\"pkg1\"),\n            id=\"package_or_group@pkg1\",\n        ),\n        param(\n            \"package_or_group@\",\n            Key(key_or_group=\"package_or_group\", package=\"\"),\n            id=\"package_or_group@\",\n        ),\n        param(\n            \"package_or_group@$pkg1\",\n            Key(key_or_group=\"package_or_group\", package=\"$pkg1\"),\n            id=\"package_dollar\",\n        ),\n    ],\n)\ndef test_key(value: str, expected: Any) -> None:\n    ret = parse_rule(value, \"key\")\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_override_del_test_override_del.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_override_del_test_override_del.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 819, "end_line": 854, "span_ids": ["test_override_del"], "tokens": 196}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value,expected\",\n    [\n        param(\n            \"~x\",\n            Override(\n                type=OverrideType.DEL, key_or_group=\"x\", value_type=None, _value=None\n            ),\n            id=\"bare_del\",\n        ),\n        param(\n            \"~x=10\",\n            Override(\n                type=OverrideType.DEL,\n                key_or_group=\"x\",\n                value_type=ValueType.ELEMENT,\n                _value=10,\n            ),\n            id=\"specific_del\",\n        ),\n        param(\n            \"~x=\",\n            Override(\n                type=OverrideType.DEL,\n                key_or_group=\"x\",\n                value_type=ValueType.ELEMENT,\n                _value=\"\",\n            ),\n            id=\"specific_del_empty_string\",\n        ),\n    ],\n)\ndef test_override_del(value: str, expected: Any) -> None:\n    expected.input_line = value\n    ret = parse_rule(value, \"override\")\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_parse_overrides_test_parse_overrides.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_parse_overrides_test_parse_overrides.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 834, "end_line": 867, "span_ids": ["test_parse_overrides"], "tokens": 265}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_parse_overrides() -> None:\n    overrides = [\"x=10\", \"y=[1,2]\", \"z=a,b,c\", \"z=choice(a,b,c)\"]\n    expected = [\n        Override(\n            type=OverrideType.CHANGE,\n            key_or_group=\"x\",\n            value_type=ValueType.ELEMENT,\n            _value=10,\n            input_line=overrides[0],\n        ),\n        Override(\n            type=OverrideType.CHANGE,\n            key_or_group=\"y\",\n            value_type=ValueType.ELEMENT,\n            _value=[1, 2],\n            input_line=overrides[1],\n        ),\n        Override(\n            type=OverrideType.CHANGE,\n            key_or_group=\"z\",\n            value_type=ValueType.SIMPLE_CHOICE_SWEEP,\n            _value=ChoiceSweep(list=[\"a\", \"b\", \"c\"], simple_form=True),\n            input_line=overrides[2],\n        ),\n        Override(\n            type=OverrideType.CHANGE,\n            key_or_group=\"z\",\n            value_type=ValueType.CHOICE_SWEEP,\n            _value=ChoiceSweep(list=[\"a\", \"b\", \"c\"]),\n            input_line=overrides[3],\n        ),\n    ]\n    ret = parser.parse_overrides(overrides)\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_get_key_element_test_get_key_element.assert_ret_get_key_elemen": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_get_key_element_test_get_key_element.assert_ret_get_key_elemen", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 893, "end_line": 912, "span_ids": ["test_get_key_element"], "tokens": 217}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"override,expected\",\n    [\n        # change\n        param(\"key=value\", \"key\", id=\"key\"),\n        param(\"key@pkg1=value\", \"key@pkg1\", id=\"key@pkg1\"),\n        # add\n        param(\"+key=value\", \"+key\", id=\"+key\"),\n        param(\"+key@pkg1=value\", \"+key@pkg1\", id=\"+key@pkg1\"),\n        # force-add\n        param(\"++key=value\", \"++key\", id=\"++key\"),\n        param(\"++key@pkg1=value\", \"++key@pkg1\", id=\"++key@pkg1\"),\n        # del\n        param(\"~key=value\", \"~key\", id=\"~key\"),\n        param(\"~key@pkg1=value\", \"~key@pkg1\", id=\"~key@pkg1\"),\n    ],\n)\ndef test_get_key_element(override: str, expected: str) -> None:\n    ret = parse_rule(override, \"override\")\n    assert ret.get_key_element() == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_override_get_value_element_method_test_override_get_value_element_method.assert_ret_get_value_elem": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_override_get_value_element_method_test_override_get_value_element_method.assert_ret_get_value_elem", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 1097, "end_line": 1148, "span_ids": ["test_override_get_value_element_method"], "tokens": 691}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"override,expected,space_after_sep\",\n    [\n        param(\"key=value\", \"value\", False, id=\"str\"),\n        param(\"key='value'\", \"'value'\", False, id=\"single_quoted\"),\n        param('key=\"value\"', '\"value\"', False, id=\"double_quoted\"),\n        param(\"key='\u05e9\u05dc\u05d5\u05dd'\", \"'\u05e9\u05dc\u05d5\u05dd'\", False, id=\"quoted_unicode\"),\n        param(\n            \"key=\\\\\\\\\\\\(\\\\)\\\\[\\\\]\\\\{\\\\}\\\\:\\\\=\\\\ \\\\\\t\\\\,\",\n            \"\\\\\\\\\\\\(\\\\)\\\\[\\\\]\\\\{\\\\}\\\\:\\\\=\\\\ \\\\\\t\\\\,\",\n            False,\n            id=\"escaped_chars\",\n        ),\n        param(\"key=10\", \"10\", False, id=\"int\"),\n        param(\"key=3.1415\", \"3.1415\", False, id=\"float\"),\n        param(\"key=[]\", \"[]\", False, id=\"list\"),\n        param(\"key=[1,2,3]\", \"[1,2,3]\", False, id=\"list\"),\n        param(\"key=[1,2,3]\", \"[1, 2, 3]\", True, id=\"list\"),\n        param(\"key=['a b', 2, 3]\", \"['a b',2,3]\", False, id=\"list\"),\n        param(\"key=['a b', 2, 3]\", \"['a b', 2, 3]\", True, id=\"list\"),\n        param(\"key={}\", \"{}\", False, id=\"dict\"),\n        param(\"key={a:10}\", \"{a:10}\", False, id=\"dict\"),\n        param(\"key={a:10}\", \"{a: 10}\", True, id=\"dict\"),\n        param(\"key={a:10,b:20}\", \"{a:10,b:20}\", False, id=\"dict\"),\n        param(\"key={a:10,b:20}\", \"{a: 10, b: 20}\", True, id=\"dict\"),\n        param(\"key={a:10,b:[1,2,3]}\", \"{a: 10, b: [1, 2, 3]}\", True, id=\"dict\"),\n        param(\n            \"key={%s: 1}\" % UNQUOTED_SPECIAL,\n            # Note that \\ gets escaped.\n            \"{%s: 1}\" % UNQUOTED_SPECIAL.replace(\"\\\\\", \"\\\\\\\\\"),\n            True,\n            id=\"dict_unquoted_key_special\",\n        ),\n        param(\n            \"key={ white  space\\t: 2}\",\n            \"{white\\\\ \\\\ space: 2}\",\n            True,\n            id=\"dict_ws_in_key\",\n        ),\n        param(\n            \"key={\\\\\\\\\\\\(\\\\)\\\\[\\\\]\\\\{\\\\}\\\\:\\\\=\\\\ \\\\\\t\\\\,: 2}\",\n            \"{\\\\\\\\\\\\(\\\\)\\\\[\\\\]\\\\{\\\\}\\\\:\\\\=\\\\ \\\\\\t\\\\,: 2}\",\n            True,\n            id=\"dict_esc_key\",\n        ),\n    ],\n)\ndef test_override_get_value_element_method(\n    override: str, expected: str, space_after_sep: bool\n) -> None:\n    ret = parse_rule(override, \"override\")\n    assert ret.get_value_element_as_str(space_after_sep=space_after_sep) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_override_value_method_test_override_value_method.assert_ret_value_exp": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_override_value_method_test_override_value_method.assert_ret_value_exp", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 1151, "end_line": 1186, "span_ids": ["test_override_value_method"], "tokens": 530}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"override,expected\",\n    [\n        param(\"key=value\", \"value\", id=\"str\"),\n        param(\"key='value'\", \"value\", id=\"quoted_str\"),\n        param('key=\"value\"', \"value\", id=\"quoted_str\"),\n        param(\"key=10\", 10, id=\"int\"),\n        param(\"key=3.1415\", 3.1415, id=\"float\"),\n        param(\"key=[]\", [], id=\"list\"),\n        param(\"key=[1,2,3]\", [1, 2, 3], id=\"list\"),\n        param(\"key=[1,2,3]\", [1, 2, 3], id=\"list\"),\n        param(\"key=['a b', 2, 3]\", [\"a b\", 2, 3], id=\"list\"),\n        param(\"key=['a b', 2, 3]\", [\"a b\", 2, 3], id=\"list\"),\n        param(\"key={}\", {}, id=\"dict\"),\n        param(\"key={a:10}\", {\"a\": 10}, id=\"dict\"),\n        param(\"key={a:10}\", {\"a\": 10}, id=\"dict\"),\n        param(\"key={a:10,b:20}\", {\"a\": 10, \"b\": 20}, id=\"dict\"),\n        param(\"key={a:10,b:20}\", {\"a\": 10, \"b\": 20}, id=\"dict\"),\n        param(\"key={a:10,b:[1,2,3]}\", {\"a\": 10, \"b\": [1, 2, 3]}, id=\"dict\"),\n        param(\"key={123id: 0}\", {\"123id\": 0}, id=\"dict_key_int_plus_id\"),\n        param(\n            \"key={%s: 0}\" % UNQUOTED_SPECIAL,\n            {UNQUOTED_SPECIAL: 0},\n            id=\"dict_key_noquote\",\n        ),\n        param(\"key={w s: 0}\", {\"w s\": 0}, id=\"dict_key_ws\"),\n        param(\n            \"key={\\\\\\\\\\\\(\\\\)\\\\[\\\\]\\\\{\\\\}\\\\:\\\\=\\\\ \\\\\\t\\\\,: 0}\",\n            {\"\\\\()[]{}:= \\t,\": 0},\n            id=\"dict_key_esc\",\n        ),\n    ],\n)\ndef test_override_value_method(override: str, expected: str) -> None:\n    ret = parse_rule(override, \"override\")\n    assert ret.value() == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_float_range_test_float_range.for_i_in_range_len_res_.assert_math_fabs_res_i_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_float_range_test_float_range.for_i_in_range_len_res_.assert_math_fabs_res_i_", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 1010, "end_line": 1033, "span_ids": ["test_float_range"], "tokens": 342}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"start,stop,step,expected\",\n    [\n        # empty\n        param(0, 0, 1, [], id=\"FloatRange:empty\"),\n        param(0, 0, -1, [], id=\"FloatRange:empty\"),\n        param(10, 0, 1, [], id=\"FloatRange:empty\"),\n        param(0, 10, -1, [], id=\"FloatRange:empty\"),\n        # up\n        param(0, 2, 1, [0.0, 1.0], id=\"FloatRange:up\"),\n        param(0, 2, 0.5, [0.0, 0.5, 1.0, 1.5], id=\"FloatRange:up\"),\n        param(0, 2, 1, [0.0, 1.0], id=\"FloatRange:up\"),\n        # down\n        param(2, 0, -1, [2.0, 1.0], id=\"FloatRange:down\"),\n        param(10.0, 5.0, -2, [10.0, 8.0, 6.0], id=\"FloatRange:down\"),\n    ],\n)\ndef test_float_range(\n    start: float, stop: float, step: float, expected: List[float]\n) -> None:\n    res = list(FloatRange(start, stop, step))\n    assert len(res) == len(expected)\n    for i in range(len(res)):\n        assert math.fabs(res[i] - expected[i]) < 10e-6", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_tag_sweep_test_tag_sweep.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_tag_sweep_test_tag_sweep.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 1036, "end_line": 1073, "span_ids": ["test_tag_sweep"], "tokens": 398}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value, expected\",\n    [\n        # choice\n        param(\"tag(choice(a,b))\", ChoiceSweep(list=[\"a\", \"b\"]), id=\"tag(choice(a,b))\"),\n        param(\n            \"tag(tag1,tag2,choice(a,b))\",\n            ChoiceSweep(list=[\"a\", \"b\"], tags={\"tag1\", \"tag2\"}),\n            id=\"tag(tag1,tag2,choice(a,b))\",\n        ),\n        # interval\n        param(\n            \"tag(interval(0,2))\",\n            IntervalSweep(start=0.0, end=2.0),\n            id=\"tag(interval(0,2))\",\n        ),\n        param(\n            \"tag(tag1,tag2,interval(0,2))\",\n            IntervalSweep(start=0.0, end=2.0, tags={\"tag1\", \"tag2\"}),\n            id=\"tag(tag1,tag2,interval(0,2))\",\n        ),\n        # range\n        param(\"tag(range(1,2))\", RangeSweep(start=1, stop=2), id=\"tag(range(1,2))\"),\n        param(\n            \"tag(tag1,tag2,range(1,2))\",\n            RangeSweep(start=1, stop=2, tags={\"tag1\", \"tag2\"}),\n            id=\"tag(tag1,tag2,range(1,2))\",\n        ),\n        param(\n            \"tag(tag1,tag2,sweep=range(1,2))\",\n            RangeSweep(start=1, stop=2, tags={\"tag1\", \"tag2\"}),\n            id=\"tag(tag1,tag2,sweep=range(1,2))\",\n        ),\n    ],\n)\ndef test_tag_sweep(value: str, expected: str) -> None:\n    ret = parse_rule(value, \"function\")\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_sort_test_sort.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_sort_test_sort.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 1076, "end_line": 1162, "span_ids": ["test_sort"], "tokens": 889}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value, expected\",\n    [\n        # value\n        param(\"sort(1)\", 1, id=\"sort:value\"),\n        param(\"sort({a:10})\", {\"a\": 10}, id=\"sort:value\"),\n        # list\n        param(\"sort([1])\", [1], id=\"sort:list\"),\n        param(\"sort([1,2,3])\", [1, 2, 3], id=\"sort:list\"),\n        param(\"sort(list=[1,2,3])\", [1, 2, 3], id=\"sort:list:named\"),\n        param(\"sort(list=[])\", [], id=\"sort:list:named:empty\"),\n        param(\"sort(list=[1,2,3], reverse=True)\", [3, 2, 1], id=\"sort:list:named:rev\"),\n        # simple choice sweep\n        param(\n            \"sort(1,2,3)\",\n            ChoiceSweep(list=[1, 2, 3], simple_form=True),\n            id=\"sort:choice:simple\",\n        ),\n        param(\n            \"sort(1,2,3,reverse=True)\",\n            ChoiceSweep(list=[3, 2, 1], simple_form=True),\n            id=\"sort:choice:simple:rev\",\n        ),\n        # choice sweep\n        param(\"sort(choice(1,2,3))\", ChoiceSweep(list=[1, 2, 3]), id=\"sort:choice\"),\n        param(\n            \"sort(sweep=choice(1,2,3))\",\n            ChoiceSweep(list=[1, 2, 3]),\n            id=\"sort:choice:named\",\n        ),\n        param(\n            \"sort(choice(1,2,3), reverse=True)\",\n            ChoiceSweep(list=[3, 2, 1]),\n            id=\"sort:choice:rev\",\n        ),\n        param(\n            \"sort(tag(a,b,choice(1,2,3)), reverse=True)\",\n            ChoiceSweep(list=[3, 2, 1], tags={\"a\", \"b\"}),\n            id=\"sort:tag:choice:rev\",\n        ),\n        # sort integer range\n        param(\n            \"sort(range(1, 10))\",\n            RangeSweep(start=1, stop=10, step=1),\n            id=\"sort(range(1, 10))\",\n        ),\n        param(\n            \"sort(range(9,0,-1))\",\n            RangeSweep(start=1, stop=10, step=1),\n            id=\"sort(range(1, 10))\",\n        ),\n        param(\n            \"sort(range(1,10),reverse=True)\",\n            RangeSweep(start=9, stop=0, step=-1),\n            id=\"sort(range(1,10),reverse=True)\",\n        ),\n        param(\n            \"sort(sort(range(1, 10),reverse=true))\",\n            RangeSweep(start=1, stop=10, step=1),\n            id=\"sort(sort(range(1, 10),reverse=true))\",\n        ),\n        # sort float range\n        param(\n            \"sort(range(0,2,0.5))\",\n            RangeSweep(start=0, stop=2, step=0.5),\n            id=\"sort(range(0,2,0.5))\",\n        ),\n        param(\n            \"sort(range(1.5,-0.5,-0.5))\",\n            RangeSweep(start=0.0, stop=2.0, step=0.5),\n            id=\"sort(range(1.5,-0.5,-0.5))\",\n        ),\n        param(\n            \"sort(range(0,2,0.5),reverse=true)\",\n            RangeSweep(start=1.5, stop=-0.5, step=-0.5),\n            id=\"range:sort:reverse)\",\n        ),\n        param(\n            \"shuffle(range(1, 10))\",\n            RangeSweep(start=1, stop=10, step=1, shuffle=True),\n            id=\"range:shuffle\",\n        ),\n    ],\n)\ndef test_sort(value: str, expected: str) -> None:\n    ret = parse_rule(value, \"function\")\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_sweep_shuffle_test_sweep_shuffle.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_sweep_shuffle_test_sweep_shuffle.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 1165, "end_line": 1205, "span_ids": ["test_sweep_shuffle"], "tokens": 346}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value, expected\",\n    [\n        # simple choice sweep\n        param(\n            \"shuffle(1,2,3)\",\n            ChoiceSweep(simple_form=True, list=[1, 2, 3], tags=set(), shuffle=True),\n            id=\"shuffle:choice:simple\",\n        ),\n        # choice sweep\n        param(\n            \"shuffle(choice(1,2,3))\",\n            ChoiceSweep(list=[1, 2, 3], tags=set(), shuffle=True),\n            id=\"shuffle:choice\",\n        ),\n        param(\n            \"shuffle(tag(a,b,choice(1,2,3)))\",\n            ChoiceSweep(list=[1, 2, 3], tags={\"a\", \"b\"}, shuffle=True),\n            id=\"shuffle:tag:choice\",\n        ),\n        # range sweep\n        param(\n            \"shuffle(range(10,1))\",\n            RangeSweep(start=10, stop=1, shuffle=True),\n            id=\"shuffle:range\",\n        ),\n        param(\n            \"shuffle(float(range(10,1))))\",\n            RangeSweep(start=10.0, stop=1.0, shuffle=True),\n            id=\"shuffle:float:range\",\n        ),\n        param(\n            \"shuffle(tag(a,b,range(1,10,2)))\",\n            RangeSweep(start=1, stop=10, step=2, tags={\"a\", \"b\"}, shuffle=True),\n            id=\"shuffle:tag:range\",\n        ),\n    ],\n)\ndef test_sweep_shuffle(value: str, expected: str) -> None:\n    ret = parse_rule(value, \"function\")\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_function_test_function.assert_ret_expected_va": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_function_test_function.assert_ret_expected_va", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 1592, "end_line": 1605, "span_ids": ["test_function"], "tokens": 142}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value,expected_value\",\n    [\n        param(\"abs(10)\", 10, id=\"abs(10)\"),\n        param(\"abs(-10)\", 10, id=\"abs(-10)\"),\n        param(\"mul(abs(-10),2)\", 20, id=\"mul(abs(-10),2)\"),\n    ],\n)\ndef test_function(value: Any, expected_value: Any) -> None:\n    functions = Functions()\n    functions.register(name=\"abs\", func=abs)\n    functions.register(name=\"mul\", func=lambda n, m: n * m)\n    ret = OverridesParser(functions).parse_rule(value, \"function\")\n    assert ret == expected_value", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_F_F.sort.if_reverse_.else_.return.list_sorted_args_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_F_F.sort.if_reverse_.else_.return.list_sorted_args_", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 1570, "end_line": 1596, "span_ids": ["F.sort", "F.foo2", "F", "F.empty", "F.range", "F.sum", "F.foo1"], "tokens": 208}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class F:\n    @staticmethod\n    def foo1(value: int) -> str:\n        return f\"{type(value).__name__}:{str(value)}\"\n\n    @staticmethod\n    def foo2(x: Union[int, str], y: Union[int, str]) -> str:\n        return f\"{type(x).__name__}:{str(x)},{type(y).__name__}:{str(y)}\"\n\n    @staticmethod\n    def range(start: int, stop: int, step: int = 1) -> str:\n        return f\"res:range(start={start},stop={stop},step={step})\"\n\n    @staticmethod\n    def empty() -> int:\n        return 10\n\n    @staticmethod\n    def sum(*args: int) -> int:\n        return sum(args, 0)\n\n    @staticmethod\n    def sort(*args: int, reverse: bool = False) -> List[int]:\n        if reverse:\n            return list(reversed(sorted(args)))\n        else:\n            return list(sorted(args))", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_eval_test_eval.assert_parser_parse_rule_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_eval_test_eval.assert_parser_parse_rule_", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 1637, "end_line": 1705, "span_ids": ["test_eval"], "tokens": 701}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"func_name, func, value, expected\",\n    [\n        param(\"foo_1\", F.foo1, \"foo_1(10)\", \"int:10\", id=\"foo_1(10)\"),\n        param(\"foo_1\", F.foo1, \"foo_1(value=10)\", \"int:10\", id=\"foo_1(value=10)\"),\n        param(\"foo_2\", F.foo2, \"foo_2('10',10)\", \"str:10,int:10\", id=\"foo_2('10',10)\"),\n        param(\"empty\", F.empty, \"empty()\", 10, id=\"empty()\"),\n        param(\"sum\", F.sum, \"sum()\", 0, id=\"sum()\"),\n        param(\"sum\", F.sum, \"sum(1)\", 1, id=\"sum(1)\"),\n        param(\"sum\", F.sum, \"sum(1,2,3)\", 6, id=\"sum(1,2,3)\"),\n        param(\n            \"range\",\n            F.range,\n            \"range(10,20)\",\n            \"res:range(start=10,stop=20,step=1)\",\n            id=\"range(10,20)\",\n        ),\n        param(\n            \"range\",\n            F.range,\n            \"range(10,20,5)\",\n            \"res:range(start=10,stop=20,step=5)\",\n            id=\"range(10,20,5)\",\n        ),\n        param(\n            \"range\",\n            F.range,\n            \"range(10,20,step=5)\",\n            \"res:range(start=10,stop=20,step=5)\",\n            id=\"range(10,20,step=5)\",\n        ),\n        param(\n            \"range\",\n            F.range,\n            \"range(start=10,stop=20,step=5)\",\n            \"res:range(start=10,stop=20,step=5)\",\n            id=\"range(start=10,stop=20,step=5)\",\n        ),\n        param(\n            \"range\",\n            F.range,\n            \"range(step=5,start=10,stop=20)\",\n            \"res:range(start=10,stop=20,step=5)\",\n            id=\"range(step=5,start=10,stop=20)\",\n        ),\n        param(\n            \"range\",\n            F.range,\n            \"range(10,step=5,stop=20)\",\n            \"res:range(start=10,stop=20,step=5)\",\n            id=\"range(10,step=5,stop=20)\",\n        ),\n        param(\"sort\", F.sort, \"sort(10,1,5)\", [1, 5, 10], id=\"sort(10,1,5)\"),\n        param(\n            \"sort\",\n            F.sort,\n            \"sort(10,1,5,reverse=true)\",\n            [10, 5, 1],\n            id=\"sort(10,1,5,reverse=true)\",\n        ),\n    ],\n)\ndef test_eval(\n    func_name: str, func: Callable[..., Any], value: str, expected: Any\n) -> None:\n    functions = Functions()\n    functions.register(name=func_name, func=func)\n    parser = OverridesParser(functions)\n    assert parser.parse_rule(value, \"function\") == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_eval_errors_test_eval_errors.with_expected_.parser_parse_rule_value_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_eval_errors_test_eval_errors.with_expected_.parser_parse_rule_value_", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 1708, "end_line": 1801, "span_ids": ["test_eval_errors"], "tokens": 547}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"func_name, func, value, expected\",\n    [\n        param(\n            \"empty\",\n            F.empty,\n            \"empty(100)\",\n            raises(HydraException, match=re.escape(\"too many positional arguments\")),\n            id=\"empty(100)\",\n        ),\n        param(\n            \"foo\",\n            F.foo1,\n            \"foo(true)\",\n            raises(\n                HydraException,\n                match=re.escape(\n                    \"TypeError while evaluating 'foo(true)':\"\n                    \" mismatch type argument value: bool is incompatible with int\"\n                ),\n            ),\n            id=\"foo_1(true)\",\n        ),\n        param(\n            \"foo\",\n            F.foo1,\n            \"foo(value=true)\",\n            raises(\n                HydraException,\n                match=re.escape(\n                    \"TypeError while evaluating 'foo(value=true)':\"\n                    \" mismatch type argument value: bool is incompatible with int\"\n                ),\n            ),\n            id=\"foo_1(value:true)\",\n        ),\n        param(\n            \"empty\",\n            F.foo1,\n            \"empty(no_such_name=10)\",\n            raises(\n                HydraException,\n                match=re.escape(\n                    \"TypeError while evaluating 'empty(no_such_name=10)': missing a required argument: 'value'\"\n                ),\n            ),\n            id=\"empty(no_such_name=10)\",\n        ),\n        param(\n            \"empty\",\n            F.foo1,\n            \"empty(value=10,no_such_name=10)\",\n            raises(\n                HydraException,\n                match=re.escape(\n                    \"TypeError while evaluating 'empty(value=10,no_such_name=10)':\"\n                    \" got an unexpected keyword argument 'no_such_name'\"\n                ),\n            ),\n            id=\"empty(value=10,no_such_name=10)\",\n        ),\n        param(\n            \"sum\",\n            F.sum,\n            \"sum(true)\",\n            raises(\n                HydraException,\n                match=re.escape(\n                    \"TypeError while evaluating 'sum(true)':\"\n                    \" mismatch type argument args[0]: bool is incompatible with int\"\n                ),\n            ),\n            id=\"sum(true)\",\n        ),\n        param(\n            \"range\",\n            F.range,\n            \"range(start=10,20,1)\",\n            raises(\n                HydraException,\n                match=re.escape(\"positional argument follows keyword argument\"),\n            ),\n            id=\"range(start=10,20,1)\",\n        ),\n    ],\n)\ndef test_eval_errors(\n    func_name: str, func: Callable[..., Any], value: str, expected: Any\n) -> None:\n    functions = Functions()\n    functions.register(name=func_name, func=func)\n    parser = OverridesParser(functions)\n    with expected:\n        parser.parse_rule(value, \"function\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_glob_test_glob.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_glob_test_glob.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 1804, "end_line": 1818, "span_ids": ["test_glob"], "tokens": 125}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value,expected\",\n    [\n        param(\"glob(*)\", Glob(include=[\"*\"], exclude=[])),\n        param(\"glob(include=*)\", Glob(include=[\"*\"], exclude=[])),\n        param(\"glob(include=[*])\", Glob(include=[\"*\"], exclude=[])),\n        param(\n            \"glob(include=[a*, b*], exclude=c*)\",\n            Glob(include=[\"a*\", \"b*\"], exclude=[\"c*\"]),\n        ),\n    ],\n)\ndef test_glob(value: str, expected: Any) -> None:\n    ret = parse_rule(value, \"function\")\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_plugin_interface.py_from_typing_import_List__search_path_plugins._": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_plugin_interface.py_from_typing_import_List__search_path_plugins._", "embedding": null, "metadata": {"file_path": "tests/test_plugin_interface.py", "file_name": "test_plugin_interface.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 18, "span_ids": ["docstring"], "tokens": 146}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import List, Type\n\nfrom pytest import mark, raises\n\nfrom hydra.core.config_search_path import ConfigSearchPath\nfrom hydra.core.plugins import Plugins\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.plugins.plugin import Plugin\nfrom hydra.plugins.search_path_plugin import SearchPathPlugin\nfrom hydra.plugins.sweeper import Sweeper\nfrom hydra.utils import get_class\n\n# This only test core plugins.\n# Individual plugins are responsible to test that they are discoverable.\nlaunchers = [\"hydra._internal.core_plugins.basic_launcher.BasicLauncher\"]\nsweepers = [\"hydra._internal.core_plugins.basic_sweeper.BasicSweeper\"]\nsearch_path_plugins: List[str] = []", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_utils.py_test_to_absolute_path_test_to_absolute_path.assert_utils_to_absolute_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_utils.py_test_to_absolute_path_test_to_absolute_path.assert_utils_to_absolute_", "embedding": null, "metadata": {"file_path": "tests/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 27, "end_line": 45, "span_ids": ["test_to_absolute_path"], "tokens": 203}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"orig_cwd, path, expected\",\n    [\n        (\"/home/omry/hydra\", \"foo/bar\", \"/home/omry/hydra/foo/bar\"),\n        (\"/home/omry/hydra/\", \"foo/bar\", \"/home/omry/hydra/foo/bar\"),\n        (\"/home/omry/hydra/\", \"/foo/bar\", \"/foo/bar\"),\n    ],\n)\ndef test_to_absolute_path(\n    hydra_restore_singletons: Any, orig_cwd: str, path: str, expected: str\n) -> None:\n    # normalize paths to current OS\n    orig_cwd = str(Path(orig_cwd))\n    path = str(Path(path))\n    expected = str(Path(expected))\n    cfg = OmegaConf.create({\"hydra\": HydraConf(runtime=RuntimeConf(cwd=orig_cwd))})\n    assert isinstance(cfg, DictConfig)\n    HydraConfig().set_config(cfg)\n    assert utils.to_absolute_path(path) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/__init__.py__", "embedding": null, "metadata": {"file_path": "tools/configen/configen/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/config.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/config.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "tools/configen/configen/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 45, "span_ids": ["impl", "Config", "ModuleConf", "Flags", "docstring", "ConfigenConf"], "tokens": 205}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\nfrom typing import List, Optional\n\nfrom hydra.core.config_store import ConfigStore\nfrom hydra.utils import ConvertMode\nfrom omegaconf import MISSING\n\n\n@dataclass\nclass Flags:\n    _convert_: Optional[ConvertMode] = None\n    _recursive_: Optional[bool] = None\n\n\n@dataclass\nclass ModuleConf:\n    name: str = MISSING\n    classes: List[str] = MISSING\n    default_flags: Flags = Flags()\n\n\n@dataclass\nclass ConfigenConf:\n\n    # output dir\n    output_dir: str = MISSING\n\n    module_path_pattern: str = MISSING\n\n    modules: List[ModuleConf] = MISSING\n\n    # Generated file header\n    header: str = MISSING\n\n\n@dataclass\nclass Config:\n    init_config_dir: Optional[str] = None\n    configen: ConfigenConf = ConfigenConf()\n\n\nconfig_store = ConfigStore.instance()\nconfig_store.store(name=\"configen_schema\", node=Config)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/configen.py_main_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/configen.py_main_", "embedding": null, "metadata": {"file_path": "tools/configen/configen/configen.py", "file_name": "configen.py", "file_type": "text/x-python", "category": "implementation", "start_line": 241, "end_line": 271, "span_ids": ["impl:7", "main"], "tokens": 203}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@hydra.main(version_base=None, config_name=\"configen_schema\")\ndef main(cfg: Config):\n    if cfg.init_config_dir is not None:\n        init_config(cfg.init_config_dir)\n        return\n\n    if OmegaConf.is_missing(cfg.configen, \"modules\"):  # type: ignore\n        log.error(\n            dedent(\n                \"\"\"\\\n\n        Use --config-dir DIR --config-name NAME\n        e.g:\n        \\tconfigen --config-dir conf --config-name configen\n\n        If you have no config dir yet use init_config_dir=DIR to create an initial config dir.\n        e.g:\n        \\tconfigen init_config_dir=conf\n        \"\"\"\n            )\n        )\n        sys.exit(1)\n\n    for module in cfg.configen.modules:\n        code = generate_module(cfg=cfg.configen, module=module)\n        save(cfg=cfg.configen, module=module.name, code=code)\n\n\nif __name__ == \"__main__\":\n    main()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/samples/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/samples/__init__.py__", "embedding": null, "metadata": {"file_path": "tools/configen/configen/samples/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/setup.py__usr_bin_env_python_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/setup.py__usr_bin_env_python_", "embedding": null, "metadata": {"file_path": "tools/configen/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 20, "span_ids": ["docstring"], "tokens": 143}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "#!/usr/bin/env python\nfrom setuptools import find_packages, setup\n\nsetup(\n    name=\"hydra-configen\",\n    version=\"0.9.0.dev8\",\n    packages=find_packages(include=[\"configen\"]),\n    entry_points={\"console_scripts\": [\"configen = configen.configen:main\"]},\n    author=\"Omry Yadan, Rosario Scalise\",\n    author_email=\"omry@fb.com, rosario@cs.uw.edu\",\n    url=\"https://github.com/facebookresearch/hydra/tree/main/tools/configen\",\n    include_package_data=True,\n    install_requires=[\n        \"hydra-core>=1.1.0\",\n        \"jinja2\",\n    ],\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/__init__.py__", "embedding": null, "metadata": {"file_path": "tools/configen/tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/configure_hydra/workdir/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/configure_hydra/workdir/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/configure_hydra/workdir/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 16, "span_ids": ["experiment", "impl", "docstring"], "tokens": 76}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nimport os\n\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef experiment(_cfg: DictConfig) -> None:\n    print(os.getcwd())\n\n\nif __name__ == \"__main__\":\n    experiment()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_configsource_plugin/hydra_plugins/example_configsource_plugin/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_configsource_plugin/hydra_plugins/example_configsource_plugin/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/plugins/example_configsource_plugin/hydra_plugins/example_configsource_plugin/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_configsource_plugin/hydra_plugins/example_configsource_plugin/example_configsource_plugin.py_ConfigSourceExample.load_config_ConfigSourceExample.load_config.return.ConfigResult_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_configsource_plugin/hydra_plugins/example_configsource_plugin/example_configsource_plugin.py_ConfigSourceExample.load_config_ConfigSourceExample.load_config.return.ConfigResult_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_configsource_plugin/hydra_plugins/example_configsource_plugin/example_configsource_plugin.py", "file_name": "example_configsource_plugin.py", "file_type": "text/x-python", "category": "implementation", "start_line": 57, "end_line": 76, "span_ids": ["ConfigSourceExample.load_config"], "tokens": 164}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSourceExample(ConfigSource):\n\n    def load_config(\n        self, config_path: str, package_override: Optional[str] = None\n    ) -> ConfigResult:\n        name = self._normalize_file_name(config_path)\n\n        if name not in self.configs:\n            raise ConfigLoadError(\"Config not found : \" + config_path)\n\n        res_header: Dict[str, Optional[str]] = {\"package\": None}\n        if name in self.headers:\n            header = self.headers[name]\n            res_header[\"package\"] = header[\"package\"] if \"package\" in header else None\n\n        cfg = OmegaConf.create(self.configs[name])\n        return ConfigResult(\n            config=cfg,\n            path=f\"{self.scheme()}://{self.path}\",\n            provider=self.provider,\n            header=res_header,\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_configsource_plugin/hydra_plugins/example_configsource_plugin/example_configsource_plugin.py_ConfigSourceExample.available_ConfigSourceExample.is_config.return.config_path_in_configs": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_configsource_plugin/hydra_plugins/example_configsource_plugin/example_configsource_plugin.py_ConfigSourceExample.available_ConfigSourceExample.is_config.return.config_path_in_configs", "embedding": null, "metadata": {"file_path": "examples/plugins/example_configsource_plugin/hydra_plugins/example_configsource_plugin/example_configsource_plugin.py", "file_name": "example_configsource_plugin.py", "file_type": "text/x-python", "category": "implementation", "start_line": 78, "end_line": 105, "span_ids": ["ConfigSourceExample.available", "ConfigSourceExample.is_config", "ConfigSourceExample.is_group"], "tokens": 202}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSourceExample(ConfigSource):\n\n    def available(self) -> bool:\n        \"\"\"\n        :return: True is this config source is pointing to a valid location\n        \"\"\"\n        return self.path == \"valid_path\"\n\n    def is_group(self, config_path: str) -> bool:\n        groups = {\n            \"\",\n            \"dataset\",\n            \"optimizer\",\n            \"level1\",\n            \"level1/level2\",\n            \"configs_with_defaults_list\",\n        }\n        return config_path in groups\n\n    def is_config(self, config_path: str) -> bool:\n        base = {\n            \"dataset\",\n            \"dataset/imagenet\",\n            \"level1/level2/nested1\",\n            \"level1/level2/nested2\",\n            \"configs_with_defaults_list/global_package\",\n            \"configs_with_defaults_list/group_package\",\n        }\n        configs = set([x for x in base] + [f\"{x}.yaml\" for x in base])\n        return config_path in configs", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_configsource_plugin/hydra_plugins/example_configsource_plugin/example_configsource_plugin.py_ConfigSourceExample.list_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_configsource_plugin/hydra_plugins/example_configsource_plugin/example_configsource_plugin.py_ConfigSourceExample.list_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_configsource_plugin/hydra_plugins/example_configsource_plugin/example_configsource_plugin.py", "file_name": "example_configsource_plugin.py", "file_type": "text/x-python", "category": "implementation", "start_line": 107, "end_line": 132, "span_ids": ["ConfigSourceExample.list"], "tokens": 228}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSourceExample(ConfigSource):\n\n    def list(self, config_path: str, results_filter: Optional[ObjectType]) -> List[str]:\n\n        groups: Dict[str, List[str]] = {\n            \"\": [\"dataset\", \"level1\", \"optimizer\"],\n            \"dataset\": [],\n            \"optimizer\": [],\n            \"level1\": [\"level2\"],\n            \"level1/level2\": [],\n        }\n        configs: Dict[str, List[str]] = {\n            \"\": [\"config_without_group\", \"dataset\"],\n            \"dataset\": [\"cifar10\", \"imagenet\"],\n            \"optimizer\": [\"adam\", \"nesterov\"],\n            \"level1\": [],\n            \"level1/level2\": [\"nested1\", \"nested2\"],\n            \"configs_with_defaults_list\": [\"global_package\", \"group_package\"],\n        }\n        if results_filter is None:\n            return sorted(set(groups[config_path] + configs[config_path]))\n        elif results_filter == ObjectType.GROUP:\n            return groups[config_path]\n        elif results_filter == ObjectType.CONFIG:\n            return configs[config_path]\n        else:\n            raise ValueError()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_configsource_plugin/setup.py_from_setuptools_import_fi_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_configsource_plugin/setup.py_from_setuptools_import_fi_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_configsource_plugin/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 40, "span_ids": ["docstring"], "tokens": 346}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from setuptools import find_namespace_packages, setup\n\nwith open(\"README.md\", \"r\") as fh:\n    LONG_DESC = fh.read()\n    setup(\n        name=\"hydra-example-configsource\",\n        version=\"1.0.0\",\n        author=\"Omry Yadan\",\n        author_email=\"omry@fb.com\",\n        description=\"Example Hydra ConfigSource plugin\",\n        long_description=LONG_DESC,\n        long_description_content_type=\"text/markdown\",\n        url=\"https://github.com/facebookresearch/hydra/\",\n        packages=find_namespace_packages(include=[\"hydra_plugins.*\"]),\n        classifiers=[\n            # Feel free to use another license.\n            \"License :: OSI Approved :: MIT License\",\n            # Hydra uses Python version and Operating system to determine\n            # In which environments to test this plugin\n            \"Programming Language :: Python :: 3.6\",\n            \"Programming Language :: Python :: 3.7\",\n            \"Programming Language :: Python :: 3.8\",\n            \"Programming Language :: Python :: 3.9\",\n            \"Programming Language :: Python :: 3.10\",\n            \"Operating System :: OS Independent\",\n        ],\n        install_requires=[\n            # consider pinning to a specific major version of Hydra to avoid unexpected problems\n            # if a new major version of Hydra introduces breaking changes for plugins.\n            # e.g: \"hydra-core==1.0.*\",\n            \"hydra-core\",\n        ],\n        # If this plugin is providing configuration files, be sure to include them in the package.\n        # See MANIFEST.in.\n        # For configurations to be discoverable at runtime, they should also be added to the search path.\n        include_package_data=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_configsource_plugin/tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_configsource_plugin/tests/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/plugins/example_configsource_plugin/tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_generic_plugin/hydra_plugins/example_generic_plugin/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_generic_plugin/hydra_plugins/example_generic_plugin/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/plugins/example_generic_plugin/hydra_plugins/example_generic_plugin/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_generic_plugin/hydra_plugins/example_generic_plugin/example_plugin.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_generic_plugin/hydra_plugins/example_generic_plugin/example_plugin.py__", "embedding": null, "metadata": {"file_path": "examples/plugins/example_generic_plugin/hydra_plugins/example_generic_plugin/example_plugin.py", "file_name": "example_plugin.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 11, "span_ids": ["ExamplePlugin.__init__", "ExamplePlugin.add", "ExamplePlugin", "docstring"], "tokens": 69}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom hydra.plugins.plugin import Plugin\n\n\nclass ExamplePlugin(Plugin):\n    def __init__(self, v: int) -> None:\n        self.v = v\n\n    def add(self, x: int) -> int:\n        return self.v + x", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_generic_plugin/setup.py_from_setuptools_import_fi_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_generic_plugin/setup.py_from_setuptools_import_fi_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_generic_plugin/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 39, "span_ids": ["docstring"], "tokens": 325}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from setuptools import find_namespace_packages, setup\n\nwith open(\"README.md\", \"r\") as fh:\n    LONG_DESC = fh.read()\n    setup(\n        name=\"hydra-example-generic-plugin\",\n        version=\"1.0.0\",\n        author=\"Omry Yadan\",\n        author_email=\"omry@fb.com\",\n        description=\"Example Hydra plugin\",\n        long_description=LONG_DESC,\n        long_description_content_type=\"text/markdown\",\n        url=\"https://github.com/facebookresearch/hydra/\",\n        packages=find_namespace_packages(include=[\"hydra_plugins.*\"]),\n        classifiers=[\n            # Feel free to use another license.\n            \"License :: OSI Approved :: MIT License\",\n            # Hydra uses Python version and Operating system to determine\n            # In which environments to test this plugin\n            \"Programming Language :: Python :: 3.6\",\n            \"Programming Language :: Python :: 3.7\",\n            \"Programming Language :: Python :: 3.8\",\n            \"Programming Language :: Python :: 3.9\",\n            \"Programming Language :: Python :: 3.10\",\n            \"Operating System :: OS Independent\",\n        ],\n        install_requires=[\n            # consider pinning to a specific major version of Hydra to avoid unexpected problems\n            # if a new major version of Hydra introduces breaking changes for plugins.\n            # e.g: \"hydra-core==1.0.*\",\n            \"hydra-core\",\n        ],\n        # See MANIFEST.in.\n        # For configurations to be discoverable at runtime, they should also be added to the search path.\n        include_package_data=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_generic_plugin/tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_generic_plugin/tests/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/plugins/example_generic_plugin/tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_generic_plugin/tests/test_example_plugin.py_from_hydra_core_plugins_i_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_generic_plugin/tests/test_example_plugin.py_from_hydra_core_plugins_i_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_generic_plugin/tests/test_example_plugin.py", "file_name": "test_example_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 18, "span_ids": ["test_discovery", "test_example_plugin", "docstring"], "tokens": 108}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from hydra.core.plugins import Plugins\nfrom hydra.plugins.plugin import Plugin\n\nfrom hydra_plugins.example_generic_plugin.example_plugin import ExamplePlugin\n\n\ndef test_discovery() -> None:\n    # Tests that this plugin can be discovered via the plugins subsystem when looking at all Plugins\n    assert ExamplePlugin.__name__ in [\n        x.__name__ for x in Plugins.instance().discover(Plugin)\n    ]\n\n\ndef test_example_plugin() -> None:\n    a = ExamplePlugin(10)\n    assert a.add(20) == 30", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_launcher_plugin/example/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_launcher_plugin/example/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/plugins/example_launcher_plugin/example/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 13, "span_ids": ["my_app", "impl", "docstring"], "tokens": 81}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nimport hydra\nfrom omegaconf import OmegaConf, DictConfig\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_launcher_plugin/hydra_plugins/example_launcher_plugin/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_launcher_plugin/hydra_plugins/example_launcher_plugin/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/plugins/example_launcher_plugin/hydra_plugins/example_launcher_plugin/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_launcher_plugin/hydra_plugins/example_launcher_plugin/example_launcher.py_from_dataclasses_import_d_ConfigStore_instance_st": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_launcher_plugin/hydra_plugins/example_launcher_plugin/example_launcher.py_from_dataclasses_import_d_ConfigStore_instance_st", "embedding": null, "metadata": {"file_path": "examples/plugins/example_launcher_plugin/hydra_plugins/example_launcher_plugin/example_launcher.py", "file_name": "example_launcher.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 45, "span_ids": ["LauncherConfig", "impl:3", "docstring"], "tokens": 284}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\n\nimport logging\nfrom pathlib import Path\nfrom typing import Optional, Sequence\n\nfrom hydra.types import HydraContext\nfrom hydra.core.config_store import ConfigStore\nfrom hydra.core.singleton import Singleton\nfrom hydra.core.utils import (\n    JobReturn,\n    configure_log,\n    filter_overrides,\n    run_job,\n    setup_globals,\n)\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.types import TaskFunction\nfrom omegaconf import DictConfig, open_dict\n\n# IMPORTANT:\n# If your plugin imports any module that takes more than a fraction of a second to import,\n# Import the module lazily (typically inside launch()).\n# Installed plugins are imported during Hydra initialization and plugins that are slow to import plugins will slow\n# the startup of ALL hydra applications.\n# Another approach is to place heavy includes in a file prefixed by _, such as _core.py:\n# Hydra will not look for plugin in such files and will not import them during plugin discovery.\n\n\nlog = logging.getLogger(__name__)\n\n\n@dataclass\nclass LauncherConfig:\n    _target_: str = (\n        \"hydra_plugins.example_launcher_plugin.example_launcher.ExampleLauncher\"\n    )\n    foo: int = 10\n    bar: str = \"abcde\"\n\n\nConfigStore.instance().store(\n    group=\"hydra/launcher\", name=\"example\", node=LauncherConfig\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_launcher_plugin/hydra_plugins/example_launcher_plugin/example_launcher.py_ExampleLauncher_ExampleLauncher.setup.self.task_function.task_function": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_launcher_plugin/hydra_plugins/example_launcher_plugin/example_launcher.py_ExampleLauncher_ExampleLauncher.setup.self.task_function.task_function", "embedding": null, "metadata": {"file_path": "examples/plugins/example_launcher_plugin/hydra_plugins/example_launcher_plugin/example_launcher.py", "file_name": "example_launcher.py", "file_type": "text/x-python", "category": "implementation", "start_line": 48, "end_line": 67, "span_ids": ["ExampleLauncher.setup", "ExampleLauncher", "ExampleLauncher.__init__"], "tokens": 149}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ExampleLauncher(Launcher):\n    def __init__(self, foo: str, bar: str) -> None:\n        self.config: Optional[DictConfig] = None\n        self.task_function: Optional[TaskFunction] = None\n        self.hydra_context: Optional[HydraContext] = None\n\n        # foo and var are coming from the the plugin's configuration\n        self.foo = foo\n        self.bar = bar\n\n    def setup(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> None:\n        self.config = config\n        self.hydra_context = hydra_context\n        self.task_function = task_function", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_launcher_plugin/hydra_plugins/example_launcher_plugin/example_launcher.py_ExampleLauncher.launch_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_launcher_plugin/hydra_plugins/example_launcher_plugin/example_launcher.py_ExampleLauncher.launch_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_launcher_plugin/hydra_plugins/example_launcher_plugin/example_launcher.py", "file_name": "example_launcher.py", "file_type": "text/x-python", "category": "implementation", "start_line": 69, "end_line": 128, "span_ids": ["ExampleLauncher.launch"], "tokens": 601}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ExampleLauncher(Launcher):\n\n    def launch(\n        self, job_overrides: Sequence[Sequence[str]], initial_job_idx: int\n    ) -> Sequence[JobReturn]:\n        \"\"\"\n        :param job_overrides: a List of List<String>, where each inner list is the arguments for one job run.\n        :param initial_job_idx: Initial job idx in batch.\n        :return: an array of return values from run_job with indexes corresponding to the input list indexes.\n        \"\"\"\n        setup_globals()\n        assert self.config is not None\n        assert self.hydra_context is not None\n        assert self.task_function is not None\n\n        configure_log(self.config.hydra.hydra_logging, self.config.hydra.verbose)\n        sweep_dir = Path(str(self.config.hydra.sweep.dir))\n        sweep_dir.mkdir(parents=True, exist_ok=True)\n        log.info(\n            f\"Example Launcher(foo={self.foo}, bar={self.bar}) is launching {len(job_overrides)} jobs locally\"\n        )\n        log.info(f\"Sweep output dir : {sweep_dir}\")\n        runs = []\n\n        for idx, overrides in enumerate(job_overrides):\n            idx = initial_job_idx + idx\n            lst = \" \".join(filter_overrides(overrides))\n            log.info(f\"\\t#{idx} : {lst}\")\n            sweep_config = self.hydra_context.config_loader.load_sweep_config(\n                self.config, list(overrides)\n            )\n            with open_dict(sweep_config):\n                # This typically coming from the underlying scheduler (SLURM_JOB_ID for instance)\n                # In that case, it will not be available here because we are still in the main process.\n                # but instead should be populated remotely before calling the task_function.\n                sweep_config.hydra.job.id = f\"job_id_for_{idx}\"\n                sweep_config.hydra.job.num = idx\n\n            # If your launcher is executing code in a different process, it is important to restore\n            # the singleton state in the new process.\n            # To do this, you will likely need to serialize the singleton state along with the other\n            # parameters passed to the child process.\n\n            # happening on this process (executing launcher)\n            state = Singleton.get_state()\n\n            # happening on the spawned process (executing task_function in run_job)\n            Singleton.set_state(state)\n\n            ret = run_job(\n                hydra_context=self.hydra_context,\n                task_function=self.task_function,\n                config=sweep_config,\n                job_dir_key=\"hydra.sweep.dir\",\n                job_subdir_key=\"hydra.sweep.subdir\",\n            )\n            runs.append(ret)\n            # reconfigure the logging subsystem for Hydra as the run_job call configured it for the Job.\n            # This is needed for launchers that calls run_job in the same process and not spawn a new one.\n            configure_log(self.config.hydra.hydra_logging, self.config.hydra.verbose)\n        return runs", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_launcher_plugin/setup.py_from_setuptools_import_fi_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_launcher_plugin/setup.py_from_setuptools_import_fi_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_launcher_plugin/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 40, "span_ids": ["docstring"], "tokens": 345}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from setuptools import find_namespace_packages, setup\n\nwith open(\"README.md\", \"r\") as fh:\n    LONG_DESC = fh.read()\n    setup(\n        name=\"hydra-example-launcher\",\n        version=\"1.0.0\",\n        author=\"Omry Yadan\",\n        author_email=\"omry@fb.com\",\n        description=\"Example Hydra Launcher plugin\",\n        long_description=LONG_DESC,\n        long_description_content_type=\"text/markdown\",\n        url=\"https://github.com/facebookresearch/hydra/\",\n        packages=find_namespace_packages(include=[\"hydra_plugins.*\"]),\n        classifiers=[\n            # Feel free to use another license.\n            \"License :: OSI Approved :: MIT License\",\n            # Hydra uses Python version and Operating system to determine\n            # In which environments to test this plugin\n            \"Programming Language :: Python :: 3.6\",\n            \"Programming Language :: Python :: 3.7\",\n            \"Programming Language :: Python :: 3.8\",\n            \"Programming Language :: Python :: 3.9\",\n            \"Programming Language :: Python :: 3.10\",\n            \"Operating System :: OS Independent\",\n        ],\n        install_requires=[\n            # consider pinning to a specific major version of Hydra to avoid unexpected problems\n            # if a new major version of Hydra introduces breaking changes for plugins.\n            # e.g: \"hydra-core==1.0.*\",\n            \"hydra-core\",\n        ],\n        # If this plugin is providing configuration files, be sure to include them in the package.\n        # See MANIFEST.in.\n        # For configurations to be discoverable at runtime, they should also be added to the search path.\n        include_package_data=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_launcher_plugin/tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_launcher_plugin/tests/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/plugins/example_launcher_plugin/tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_searchpath_plugin/arbitrary_package/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_searchpath_plugin/arbitrary_package/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/plugins/example_searchpath_plugin/arbitrary_package/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_searchpath_plugin/arbitrary_package/conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_searchpath_plugin/arbitrary_package/conf/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/plugins/example_searchpath_plugin/arbitrary_package/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_searchpath_plugin/hydra_plugins/example_searchpath_plugin/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_searchpath_plugin/hydra_plugins/example_searchpath_plugin/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/plugins/example_searchpath_plugin/hydra_plugins/example_searchpath_plugin/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_searchpath_plugin/hydra_plugins/example_searchpath_plugin/example_searchpath_plugin.py_from_hydra_core_config_se_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_searchpath_plugin/hydra_plugins/example_searchpath_plugin/example_searchpath_plugin.py_from_hydra_core_config_se_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_searchpath_plugin/hydra_plugins/example_searchpath_plugin/example_searchpath_plugin.py", "file_name": "example_searchpath_plugin.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 17, "span_ids": ["ExampleSearchPathPlugin.manipulate_search_path", "ExampleSearchPathPlugin", "docstring"], "tokens": 162}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from hydra.core.config_search_path import ConfigSearchPath\nfrom hydra.plugins.search_path_plugin import SearchPathPlugin\n\n\nclass ExampleSearchPathPlugin(SearchPathPlugin):\n    def manipulate_search_path(self, search_path: ConfigSearchPath) -> None:\n        # Appends the search path for this plugin to the end of the search path\n        # Note that foobar/conf is outside of the example plugin module.\n        # There is no requirement for it to be packaged with the plugin, it just needs\n        # be available in a package.\n        # Remember to verify the config is packaged properly (build sdist and look inside,\n        # and verify MANIFEST.in is correct).\n        search_path.append(\n            provider=\"example-searchpath-plugin\", path=\"pkg://arbitrary_package/conf\"\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_searchpath_plugin/setup.py_from_setuptools_import_fi_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_searchpath_plugin/setup.py_from_setuptools_import_fi_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_searchpath_plugin/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 42, "span_ids": ["docstring"], "tokens": 361}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from setuptools import find_namespace_packages, setup, find_packages\n\n\nwith open(\"README.md\", \"r\") as fh:\n    LONG_DESC = fh.read()\n    setup(\n        name=\"hydra-example-searchpath-plugin\",\n        version=\"1.0.0\",\n        author=\"Omry Yadan\",\n        author_email=\"omry@fb.com\",\n        description=\"Example Hydra SearchPath plugin\",\n        long_description=LONG_DESC,\n        long_description_content_type=\"text/markdown\",\n        url=\"https://github.com/facebookresearch/hydra/\",\n        packages=find_namespace_packages(include=[\"hydra_plugins.*\"])\n        + find_packages(include=[\"arbitrary_package.*\"]),\n        classifiers=[\n            # Feel free to use another license.\n            \"License :: OSI Approved :: MIT License\",\n            # Hydra uses Python version and Operating system to determine\n            # In which environments to test this plugin\n            \"Programming Language :: Python :: 3.6\",\n            \"Programming Language :: Python :: 3.7\",\n            \"Programming Language :: Python :: 3.8\",\n            \"Programming Language :: Python :: 3.9\",\n            \"Programming Language :: Python :: 3.10\",\n            \"Operating System :: OS Independent\",\n        ],\n        install_requires=[\n            # consider pinning to a specific major version of Hydra to avoid unexpected problems\n            # if a new major version of Hydra introduces breaking changes for plugins.\n            # e.g: \"hydra-core==1.0.*\",\n            \"hydra-core\",\n        ],\n        # If this plugin is providing configuration files, be sure to include them in the package.\n        # See MANIFEST.in.\n        # For configurations to be discoverable at runtime, they should also be added to the search path.\n        include_package_data=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_searchpath_plugin/tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_searchpath_plugin/tests/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/plugins/example_searchpath_plugin/tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_searchpath_plugin/tests/test_example_search_path_plugin.py_from_hydra_core_global_hy_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_searchpath_plugin/tests/test_example_search_path_plugin.py_from_hydra_core_global_hy_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_searchpath_plugin/tests/test_example_search_path_plugin.py", "file_name": "test_example_search_path_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 25, "span_ids": ["test_discovery", "test_config_installed", "docstring"], "tokens": 166}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from hydra.core.global_hydra import GlobalHydra\nfrom hydra.core.plugins import Plugins\nfrom hydra import initialize\nfrom hydra.plugins.search_path_plugin import SearchPathPlugin\n\nfrom hydra_plugins.example_searchpath_plugin.example_searchpath_plugin import (\n    ExampleSearchPathPlugin,\n)\n\n\ndef test_discovery() -> None:\n    # Tests that this plugin can be discovered via the plugins subsystem when looking at all Plugins\n    assert ExampleSearchPathPlugin.__name__ in [\n        x.__name__ for x in Plugins.instance().discover(SearchPathPlugin)\n    ]\n\n\ndef test_config_installed() -> None:\n    with initialize(version_base=None):\n        config_loader = GlobalHydra.instance().config_loader()\n        assert \"my_default_output_dir\" in config_loader.get_group_options(\n            \"hydra/output\"\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/example/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/example/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/plugins/example_sweeper_plugin/example/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 13, "span_ids": ["my_app", "impl", "docstring"], "tokens": 81}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nimport hydra\nfrom omegaconf import OmegaConf, DictConfig\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/hydra_plugins/example_sweeper_plugin/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/hydra_plugins/example_sweeper_plugin/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/plugins/example_sweeper_plugin/hydra_plugins/example_sweeper_plugin/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/hydra_plugins/example_sweeper_plugin/example_sweeper.py_from_dataclasses_import_d_ConfigStore_instance_st": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/hydra_plugins/example_sweeper_plugin/example_sweeper.py_from_dataclasses_import_d_ConfigStore_instance_st", "embedding": null, "metadata": {"file_path": "examples/plugins/example_sweeper_plugin/hydra_plugins/example_sweeper_plugin/example_sweeper.py", "file_name": "example_sweeper.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 40, "span_ids": ["LauncherConfig", "impl:3", "docstring"], "tokens": 316}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\n\nimport itertools\nimport logging\nfrom pathlib import Path\nfrom typing import Any, Iterable, List, Optional, Sequence\n\nfrom hydra.types import HydraContext\nfrom hydra.core.config_store import ConfigStore\nfrom hydra.core.override_parser.overrides_parser import OverridesParser\nfrom hydra.core.plugins import Plugins\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.plugins.sweeper import Sweeper\nfrom hydra.types import TaskFunction\nfrom omegaconf import DictConfig, OmegaConf\n\n# IMPORTANT:\n# If your plugin imports any module that takes more than a fraction of a second to import,\n# Import the module lazily (typically inside sweep()).\n# Installed plugins are imported during Hydra initialization and plugins that are slow to import plugins will slow\n# the startup of ALL hydra applications.\n# Another approach is to place heavy includes in a file prefixed by _, such as _core.py:\n# Hydra will not look for plugin in such files and will not import them during plugin discovery.\n\nlog = logging.getLogger(__name__)\n\n\n@dataclass\nclass LauncherConfig:\n    _target_: str = (\n        \"hydra_plugins.example_sweeper_plugin.example_sweeper.ExampleSweeper\"\n    )\n    # max number of jobs to run in the same batch.\n    max_batch_size: Optional[int] = None\n    foo: int = 10\n    bar: str = \"abcde\"\n\n\nConfigStore.instance().store(group=\"hydra/sweeper\", name=\"example\", node=LauncherConfig)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/hydra_plugins/example_sweeper_plugin/example_sweeper.py_ExampleSweeper.sweep_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/hydra_plugins/example_sweeper_plugin/example_sweeper.py_ExampleSweeper.sweep_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_sweeper_plugin/hydra_plugins/example_sweeper_plugin/example_sweeper.py", "file_name": "example_sweeper.py", "file_type": "text/x-python", "category": "implementation", "start_line": 64, "end_line": 124, "span_ids": ["ExampleSweeper.sweep"], "tokens": 613}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ExampleSweeper(Sweeper):\n\n    def sweep(self, arguments: List[str]) -> Any:\n        assert self.config is not None\n        assert self.launcher is not None\n        log.info(f\"ExampleSweeper (foo={self.foo}, bar={self.bar}) sweeping\")\n        log.info(f\"Sweep output dir : {self.config.hydra.sweep.dir}\")\n\n        # Save sweep run config in top level sweep working directory\n        sweep_dir = Path(self.config.hydra.sweep.dir)\n        sweep_dir.mkdir(parents=True, exist_ok=True)\n        OmegaConf.save(self.config, sweep_dir / \"multirun.yaml\")\n\n        parser = OverridesParser.create()\n        parsed = parser.parse_overrides(arguments)\n\n        lists = []\n        for override in parsed:\n            if override.is_sweep_override():\n                # Sweepers must manipulate only overrides that return true to is_sweep_override()\n                # This syntax is shared across all sweepers, so it may limiting.\n                # Sweeper must respect this though: failing to do so will cause all sorts of hard to debug issues.\n                # If you would like to propose an extension to the grammar (enabling new types of sweep overrides)\n                # Please file an issue and describe the use case and the proposed syntax.\n                # Be aware that syntax extensions are potentially breaking compatibility for existing users and the\n                # use case will be scrutinized heavily before the syntax is changed.\n                sweep_choices = override.sweep_string_iterator()\n                key = override.get_key_element()\n                sweep = [f\"{key}={val}\" for val in sweep_choices]\n                lists.append(sweep)\n            else:\n                key = override.get_key_element()\n                value = override.get_value_element_as_str()\n                lists.append([f\"{key}={value}\"])\n        batches = list(itertools.product(*lists))\n\n        # some sweepers will launch multiple batches.\n        # for such sweepers, it is important that they pass the proper initial_job_idx when launching\n        # each batch. see example below.\n        # This is required to ensure that working that the job gets a unique job id\n        # (which in turn can be used for other things, like the working directory)\n        def chunks(\n            lst: Sequence[Sequence[str]], n: Optional[int]\n        ) -> Iterable[Sequence[Sequence[str]]]:\n            \"\"\"\n            Split input to chunks of up to n items each\n            \"\"\"\n            if n is None or n == -1:\n                n = len(lst)\n            for i in range(0, len(lst), n):\n                yield lst[i : i + n]\n\n        chunked_batches = list(chunks(batches, self.max_batch_size))\n\n        returns = []\n        initial_job_idx = 0\n        for batch in chunked_batches:\n            self.validate_batch_is_legal(batch)\n            results = self.launcher.launch(batch, initial_job_idx=initial_job_idx)\n            initial_job_idx += len(batch)\n            returns.append(results)\n        return returns", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/setup.py_from_setuptools_import_fi_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/setup.py_from_setuptools_import_fi_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_sweeper_plugin/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 40, "span_ids": ["docstring"], "tokens": 347}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from setuptools import find_namespace_packages, setup\n\nwith open(\"README.md\", \"r\") as fh:\n    LONG_DESC = fh.read()\n    setup(\n        name=\"hydra-example-sweeper\",\n        version=\"1.0.0\",\n        author=\"Omry Yadan\",\n        author_email=\"omry@fb.com\",\n        description=\"Example Hydra Sweeper plugin\",\n        long_description=LONG_DESC,\n        long_description_content_type=\"text/markdown\",\n        url=\"https://github.com/facebookresearch/hydra/\",\n        packages=find_namespace_packages(include=[\"hydra_plugins.*\"]),\n        classifiers=[\n            # Feel free to use another license.\n            \"License :: OSI Approved :: MIT License\",\n            # Hydra uses Python version and Operating system to determine\n            # In which environments to test this plugin\n            \"Programming Language :: Python :: 3.6\",\n            \"Programming Language :: Python :: 3.7\",\n            \"Programming Language :: Python :: 3.8\",\n            \"Programming Language :: Python :: 3.9\",\n            \"Programming Language :: Python :: 3.10\",\n            \"Operating System :: OS Independent\",\n        ],\n        install_requires=[\n            # consider pinning to a specific major version of Hydra to avoid unexpected problems\n            # if a new major version of Hydra introduces breaking changes for plugins.\n            # e.g: \"hydra-core==1.0.*\",\n            \"hydra-core\",\n        ],\n        # If this plugin is providing configuration files, be sure to include them in the package.\n        # See MANIFEST.in.\n        # For configurations to be discoverable at runtime, they should also be added to the search path.\n        include_package_data=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/tests/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/plugins/example_sweeper_plugin/tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_parser.py_sys_KEY_RULES._key_override_pack": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_parser.py_sys_KEY_RULES._key_override_pack", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/overrides_parser.py", "file_name": "overrides_parser.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 32, "span_ids": ["docstring"], "tokens": 210}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import sys\nfrom typing import Any, List, Optional\n\nfrom antlr4.error.Errors import LexerNoViableAltException, RecognitionException\n\nfrom hydra._internal.grammar import grammar_functions\nfrom hydra._internal.grammar.functions import Functions\nfrom hydra.core.config_loader import ConfigLoader\nfrom hydra.core.override_parser.overrides_visitor import (\n    HydraErrorListener,\n    HydraOverrideVisitor,\n)\nfrom hydra.core.override_parser.types import Override\nfrom hydra.errors import HydraException, OverrideParseException\n\ntry:\n    from hydra.grammar.gen.OverrideLexer import (\n        CommonTokenStream,\n        InputStream,\n        OverrideLexer,\n    )\n    from hydra.grammar.gen.OverrideParser import OverrideParser\n\nexcept ModuleNotFoundError:\n    print(\n        \"Error importing generated parsers, run `python setup.py antlr` to regenerate.\"\n    )\n    sys.exit(1)\n\n# The set of parser rules that require the lexer to be in lexical mode `KEY`.\nKEY_RULES = {\"key\", \"override\", \"package\", \"packageOrGroup\"}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_parser.py_OverridesParser_OverridesParser.parse_rule.return.ret": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_parser.py_OverridesParser_OverridesParser.parse_rule.return.ret", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/overrides_parser.py", "file_name": "overrides_parser.py", "file_type": "text/x-python", "category": "implementation", "start_line": 35, "end_line": 71, "span_ids": ["OverridesParser", "OverridesParser.parse_rule", "OverridesParser.__init__", "OverridesParser.create"], "tokens": 262}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class OverridesParser:\n    functions: Functions\n\n    @classmethod\n    def create(cls, config_loader: Optional[ConfigLoader] = None) -> \"OverridesParser\":\n        functions = create_functions()\n        return cls(functions=functions, config_loader=config_loader)\n\n    def __init__(\n        self, functions: Functions, config_loader: Optional[ConfigLoader] = None\n    ):\n        self.functions = functions\n        self.config_loader = config_loader\n\n    def parse_rule(self, s: str, rule_name: str) -> Any:\n        error_listener = HydraErrorListener()\n        istream = InputStream(s)\n        lexer = OverrideLexer(istream)\n        lexer.removeErrorListeners()\n        lexer.addErrorListener(error_listener)\n\n        # Set the lexer in the correct mode to parse the desired rule.\n        if rule_name not in KEY_RULES:\n            lexer.mode(OverrideLexer.VALUE_MODE)\n\n        stream = CommonTokenStream(lexer)\n        parser = OverrideParser(stream)\n        parser.removeErrorListeners()\n        parser.addErrorListener(error_listener)\n        visitor = HydraOverrideVisitor(self.functions)\n        rule = getattr(parser, rule_name)\n        tree = rule()\n        ret = visitor.visit(tree)\n        if isinstance(ret, Override):\n            ret.input_line = s\n            ret.validate()\n        return ret", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_parser.py_OverridesParser.parse_override_OverridesParser.parse_overrides.return.ret": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_parser.py_OverridesParser.parse_override_OverridesParser.parse_overrides.return.ret", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/overrides_parser.py", "file_name": "overrides_parser.py", "file_type": "text/x-python", "category": "implementation", "start_line": 72, "end_line": 103, "span_ids": ["OverridesParser.parse_overrides", "OverridesParser.parse_override"], "tokens": 287}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class OverridesParser:\n\n    def parse_override(self, s: str) -> Override:\n        ret = self.parse_rule(s, \"override\")\n        assert isinstance(ret, Override)\n        return ret\n\n    def parse_overrides(self, overrides: List[str]) -> List[Override]:\n        ret: List[Override] = []\n        for override in overrides:\n            try:\n                parsed = self.parse_rule(override, \"override\")\n            except HydraException as e:\n                cause = e.__cause__\n                if isinstance(cause, LexerNoViableAltException):\n                    prefix = \"LexerNoViableAltException: \"\n                    start = len(prefix) + cause.startIndex + 1\n                    msg = f\"{prefix}{override}\" f\"\\n{'^'.rjust(start)}\"\n                    e.__cause__ = None\n                elif isinstance(cause, RecognitionException):\n                    prefix = f\"{e}\"\n                    msg = f\"{prefix}\"\n                    e.__cause__ = None\n                else:\n                    msg = f\"Error parsing override '{override}'\" f\"\\n{e}\"\n                raise OverrideParseException(\n                    override=override,\n                    message=f\"{msg}\"\n                    f\"\\nSee https://hydra.cc/docs/next/advanced/override_grammar/basic for details\",\n                ) from e.__cause__\n            assert isinstance(parsed, Override)\n            parsed.config_loader = self.config_loader\n            ret.append(parsed)\n        return ret", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_IntervalSweep_IntervalSweep.__eq__.if_isinstance_other_Inte.else_.return.NotImplemented": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_IntervalSweep_IntervalSweep.__eq__.if_isinstance_other_Inte.else_.return.NotImplemented", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/types.py", "file_name": "types.py", "file_type": "text/x-python", "category": "implementation", "start_line": 122, "end_line": 142, "span_ids": ["IntervalSweep.__eq__", "IntervalSweep"], "tokens": 134}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass IntervalSweep(Sweep):\n    start: Optional[float] = None\n    end: Optional[float] = None\n\n    def __eq__(self, other: Any) -> Any:\n        if isinstance(other, IntervalSweep):\n            eq = (\n                self.start == other.start\n                and self.end == other.end\n                and self.tags == other.tags\n            )\n\n            st = type(self.start)\n            ost = type(other.start)\n            et = type(self.end)\n            ose = type(other.end)\n            eq = eq and st == ost and et is ose\n            return eq\n        else:\n            return NotImplemented", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_Glob_Transformer.encode.return.Transformer_str_x_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_Glob_Transformer.encode.return.Transformer_str_x_", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/types.py", "file_name": "types.py", "file_type": "text/x-python", "category": "implementation", "start_line": 175, "end_line": 210, "span_ids": ["Transformer.encode", "Transformer.str", "Glob", "Transformer.identity", "Transformer", "Glob.filter"], "tokens": 233}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass Glob:\n    include: List[str] = field(default_factory=list)\n    exclude: List[str] = field(default_factory=list)\n\n    def filter(self, names: List[str]) -> List[str]:\n        def match(s: str, globs: List[str]) -> bool:\n            for g in globs:\n                if fnmatch.fnmatch(s, g):\n                    return True\n            return False\n\n        res = []\n        for name in names:\n            if match(name, self.include) and not match(name, self.exclude):\n                res.append(name)\n\n        return res\n\n\nclass Transformer:\n    @staticmethod\n    def identity(x: ParsedElementType) -> ParsedElementType:\n        return x\n\n    @staticmethod\n    def str(x: ParsedElementType) -> str:\n        return Override._get_value_element_as_str(x)\n\n    @staticmethod\n    def encode(x: ParsedElementType) -> ParsedElementType:\n        # use identity transformation for the primitive types\n        # and str transformation for others\n        if isinstance(x, (str, int, float, bool)):\n            return x\n        return Transformer.str(x)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_Override.sweep_iterator_Override.sweep_iterator.return.map_transformer_lst_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_Override.sweep_iterator_Override.sweep_iterator.return.map_transformer_lst_", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/types.py", "file_name": "types.py", "file_type": "text/x-python", "category": "implementation", "start_line": 278, "end_line": 324, "span_ids": ["Override.sweep_iterator"], "tokens": 361}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass Override:\n\n    def sweep_iterator(\n        self, transformer: TransformerType = Transformer.identity\n    ) -> Iterator[ElementType]:\n        \"\"\"\n        Converts CHOICE_SWEEP, SIMPLE_CHOICE_SWEEP, GLOB_CHOICE_SWEEP and\n        RANGE_SWEEP to a List[Elements] that can be used in the value component\n        of overrides (the part after the =). A transformer may be provided for\n        converting each element to support the needs of different sweepers\n        \"\"\"\n        if self.value_type not in (\n            ValueType.CHOICE_SWEEP,\n            ValueType.SIMPLE_CHOICE_SWEEP,\n            ValueType.GLOB_CHOICE_SWEEP,\n            ValueType.RANGE_SWEEP,\n        ):\n            raise HydraException(\n                f\"Can only enumerate CHOICE and RANGE sweeps, type is {self.value_type}\"\n            )\n\n        lst: Any\n        if isinstance(self._value, list):\n            lst = self._value\n        elif isinstance(self._value, ChoiceSweep):\n            if self._value.shuffle:\n                lst = copy(self._value.list)\n                shuffle(lst)\n            else:\n                lst = self._value.list\n        elif isinstance(self._value, RangeSweep):\n            if self._value.shuffle:\n                lst = list(self._value.range())\n                shuffle(lst)\n                lst = iter(lst)\n            else:\n                lst = self._value.range()\n        elif isinstance(self._value, Glob):\n            if self.config_loader is None:\n                raise HydraException(\"ConfigLoader is not set\")\n\n            ret = self.config_loader.get_group_options(\n                self.key_or_group, results_filter=ObjectType.CONFIG\n            )\n            return iter(self._value.filter(ret))\n        else:\n            assert False\n\n        return map(transformer, lst)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/singleton.py_from_copy_import_deepcopy_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/singleton.py_from_copy_import_deepcopy_", "embedding": null, "metadata": {"file_path": "hydra/core/singleton.py", "file_name": "singleton.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 40, "span_ids": ["Singleton", "Singleton.__call__", "Singleton.set_state", "Singleton.get_state", "docstring", "Singleton.instance"], "tokens": 279}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from copy import deepcopy\nfrom typing import Any, Dict\n\nfrom omegaconf.basecontainer import BaseContainer\n\n\nclass Singleton(type):\n    _instances: Dict[type, \"Singleton\"] = {}\n\n    def __call__(cls, *args: Any, **kwargs: Any) -> Any:\n        if cls not in cls._instances:\n            cls._instances[cls] = super(Singleton, cls).__call__(*args, **kwargs)\n        return cls._instances[cls]\n\n    def instance(cls: Any, *args: Any, **kwargs: Any) -> Any:\n        return cls(*args, **kwargs)\n\n    @staticmethod\n    def get_state() -> Any:\n        instances = deepcopy(Singleton._instances)\n        # Plugins can cause issues for pickling the singleton state\n        # Exclude them and re-initialize them on set_state()\n        from hydra.core.plugins import Plugins\n\n        instances.pop(Plugins, None)\n        return {\n            \"instances\": instances,\n            \"omegaconf_resolvers\": deepcopy(BaseContainer._resolvers),\n        }\n\n    @staticmethod\n    def set_state(state: Any) -> None:\n        Singleton._instances = state[\"instances\"]\n        # Reinitialize the the Plugin singleton (discover all plugins etc).\n        from hydra.core.plugins import Plugins\n\n        Plugins.instance()\n        BaseContainer._resolvers = deepcopy(state[\"omegaconf_resolvers\"])", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py_env_override_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py_env_override_", "embedding": null, "metadata": {"file_path": "hydra/core/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 245, "end_line": 271, "span_ids": ["_flush_loggers", "env_override"], "tokens": 177}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@contextmanager\ndef env_override(env: Dict[str, str]) -> Any:\n    \"\"\"Temporarily set environment variables inside the context manager and\n    fully restore previous environment afterwards\n    \"\"\"\n    original_env = {key: os.getenv(key) for key in env}\n    os.environ.update(env)\n    try:\n        yield\n    finally:\n        for key, value in original_env.items():\n            if value is None:\n                del os.environ[key]\n            else:\n                os.environ[key] = value\n\n\ndef _flush_loggers() -> None:\n    # Python logging does not have an official API to flush all loggers.\n    # This will have to do.\n    for h_weak_ref in logging._handlerList:  # type: ignore\n        try:\n            h_weak_ref().flush()\n        except Exception:\n            # ignore exceptions thrown during flushing\n            pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/extra/pytest_plugin.py_copy_hydra_sweep_runner.return._": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/extra/pytest_plugin.py_copy_hydra_sweep_runner.return._", "embedding": null, "metadata": {"file_path": "hydra/extra/pytest_plugin.py", "file_name": "pytest_plugin.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 58, "span_ids": ["hydra_sweep_runner", "hydra_restore_singletons", "docstring"], "tokens": 327}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import copy\nfrom pathlib import Path\nfrom typing import Callable, Generator, List, Optional\n\nfrom pytest import fixture\n\nfrom hydra.core.singleton import Singleton\nfrom hydra.test_utils.test_utils import SweepTaskFunction, TaskTestFunction\nfrom hydra.types import TaskFunction\n\n\n@fixture(scope=\"function\")\ndef hydra_restore_singletons() -> Generator[None, None, None]:\n    \"\"\"\n    Restore singletons state after the function returns\n    \"\"\"\n    state = copy.deepcopy(Singleton.get_state())\n    yield\n    Singleton.set_state(state)\n\n\n@fixture(scope=\"function\")\ndef hydra_sweep_runner() -> Callable[\n    [\n        Optional[str],\n        Optional[str],\n        Optional[TaskFunction],\n        Optional[str],\n        Optional[str],\n        Optional[List[str]],\n        Optional[Path],\n        bool,\n    ],\n    SweepTaskFunction,\n]:\n    def _(\n        calling_file: Optional[str],\n        calling_module: Optional[str],\n        task_function: Optional[TaskFunction],\n        config_path: Optional[str],\n        config_name: Optional[str],\n        overrides: Optional[List[str]],\n        temp_dir: Optional[Path] = None,\n        configure_logging: bool = False,\n    ) -> SweepTaskFunction:\n        sweep = SweepTaskFunction()\n        sweep.calling_file = calling_file\n        sweep.calling_module = calling_module\n        sweep.task_function = task_function\n        sweep.config_path = config_path\n        sweep.config_name = config_name\n        sweep.overrides = overrides or []\n        sweep.temp_dir = str(temp_dir)\n        sweep.configure_logging = configure_logging\n        return sweep\n\n    return _", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_LauncherTestSuite.test_sweep_with_custom_resolver_LauncherTestSuite.test_sweep_with_custom_resolver.with_sweep_.assert_job_ret_0_return_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_LauncherTestSuite.test_sweep_with_custom_resolver_LauncherTestSuite.test_sweep_with_custom_resolver.with_sweep_.assert_job_ret_0_return_", "embedding": null, "metadata": {"file_path": "hydra/test_utils/launcher_common_tests.py", "file_name": "launcher_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 211, "end_line": 242, "span_ids": ["LauncherTestSuite.test_sweep_with_custom_resolver"], "tokens": 230}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"hydra_restore_singletons\")\nclass LauncherTestSuite:\n\n    def test_sweep_with_custom_resolver(\n        self,\n        hydra_sweep_runner: TSweepRunner,\n        launcher_name: str,\n        overrides: List[str],\n        tmpdir: Path,\n    ) -> None:\n\n        overrides1 = [\"hydra/launcher=\" + launcher_name] + overrides\n\n        def task_func(c: DictConfig) -> Any:\n            return c.x\n\n        sweep = hydra_sweep_runner(\n            calling_file=None,\n            calling_module=\"hydra.test_utils.a_module\",\n            task_function=task_func,\n            config_path=\"configs\",\n            config_name=\"custom_resolver\",\n            overrides=overrides1,\n            temp_dir=tmpdir,\n        )\n\n        def my_custom_resolver() -> Any:\n            return \"foo\"\n\n        OmegaConf.register_new_resolver(\"my_custom_resolver\", my_custom_resolver)\n        with sweep:\n            assert sweep.returns is not None\n            job_ret = sweep.returns[0]\n            assert len(job_ret) == 1\n            assert job_ret[0].return_value == \"foo\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_TSweepRunner__chdir_to_dir_containing.os_chdir_cur_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_TSweepRunner__chdir_to_dir_containing.os_chdir_cur_", "embedding": null, "metadata": {"file_path": "hydra/test_utils/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 175, "end_line": 213, "span_ids": ["TSweepRunner.__call__", "TSweepRunner", "chdir_hydra_root", "_chdir_to_dir_containing", "chdir_plugin_root"], "tokens": 264}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class TSweepRunner(Protocol):\n    returns: List[List[JobReturn]]\n\n    def __call__(\n        self,\n        calling_file: Optional[str],\n        calling_module: Optional[str],\n        task_function: Optional[TaskFunction],\n        config_path: Optional[str],\n        config_name: Optional[str],\n        overrides: Optional[List[str]],\n        temp_dir: Optional[Path] = None,\n    ) -> SweepTaskFunction:\n        ...\n\n\ndef chdir_hydra_root(subdir: Optional[str] = None) -> None:\n    \"\"\"\n    Change the cwd to the root of the hydra project.\n    used from unit tests to make them runnable from anywhere in the tree.\n    \"\"\"\n    _chdir_to_dir_containing(target=\"ATTRIBUTION\")\n\n    if subdir is not None:\n        os.chdir(subdir)\n\n\ndef chdir_plugin_root() -> None:\n    \"\"\"\n    Change the cwd to the root of the plugin (location of setup.py)\n    \"\"\"\n    _chdir_to_dir_containing(target=\"setup.py\")\n\n\ndef _chdir_to_dir_containing(\n    target: str, max_up: int = 6, initial_dir: str = os.getcwd()\n) -> None:\n    cur = find_parent_dir_containing(target, max_up, initial_dir)\n    os.chdir(cur)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_find_parent_dir_containing_find_parent_dir_containing.return.cur": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_find_parent_dir_containing_find_parent_dir_containing.return.cur", "embedding": null, "metadata": {"file_path": "hydra/test_utils/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 225, "end_line": 234, "span_ids": ["find_parent_dir_containing"], "tokens": 112}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def find_parent_dir_containing(\n    target: str, max_up: int = 6, initial_dir: str = os.getcwd()\n) -> str:\n    cur = initial_dir\n    while not os.path.exists(os.path.join(cur, target)) and max_up > 0:\n        cur = os.path.relpath(os.path.join(cur, \"..\"))\n        max_up = max_up - 1\n    if max_up == 0:\n        raise IOError(f\"Could not find {target} in parents of {os.getcwd()}\")\n    return cur", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_lint_plugins_lint_plugins_in_dir.None_1.None_5": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_lint_plugins_lint_plugins_in_dir.None_1.None_5", "embedding": null, "metadata": {"file_path": "noxfile.py", "file_name": "noxfile.py", "file_type": "text/x-python", "category": "implementation", "start_line": 316, "end_line": 371, "span_ids": ["lint_plugins", "lint_plugins_in_dir"], "tokens": 365}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@nox.session(python=PYTHON_VERSIONS)\ndef lint_plugins(session):\n    _upgrade_basic(session)\n    lint_plugins_in_dir(session, \"plugins\")\n\n\ndef lint_plugins_in_dir(session, directory: str) -> None:\n\n    install_cmd = [\"pip\", \"install\", \"-e\"]\n    install_hydra(session, install_cmd)\n    plugins = select_plugins(session=session, directory=directory)\n\n    # plugin linting requires the plugins and their dependencies to be installed\n    for plugin in plugins:\n        cmd = install_cmd + [os.path.join(directory, plugin.path)]\n        session.run(*cmd, silent=SILENT)\n\n    install_dev_deps(session)\n\n    session.run(\"flake8\", \"--config\", \".flake8\", directory)\n    # Mypy for plugins\n    for plugin in plugins:\n        path = os.path.join(directory, plugin.path)\n        source_dir = plugin.source_dir\n        session.chdir(path)\n        session.run(*_black_cmd(), silent=SILENT)\n        session.run(*_isort_cmd(), silent=SILENT)\n        session.chdir(BASE)\n\n        files = []\n        for file in [\"tests\", \"example\"]:\n            abs = os.path.join(path, file)\n            if os.path.exists(abs):\n                files.append(abs)\n\n        session.run(\n            \"mypy\",\n            \"--strict\",\n            \"--install-types\",\n            \"--non-interactive\",\n            f\"{path}/{source_dir}\",\n            \"--config-file\",\n            f\"{BASE}/.mypy.ini\",\n            silent=SILENT,\n        )\n        session.run(\n            \"mypy\",\n            \"--strict\",\n            \"--install-types\",\n            \"--non-interactive\",\n            \"--namespace-packages\",\n            \"--config-file\",\n            f\"{BASE}/.mypy.ini\",\n            *files,\n            silent=SILENT,\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_test_tools__get_standalone_apps_dirs.return.apps": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_test_tools__get_standalone_apps_dirs.return.apps", "embedding": null, "metadata": {"file_path": "noxfile.py", "file_name": "noxfile.py", "file_type": "text/x-python", "category": "implementation", "start_line": 374, "end_line": 402, "span_ids": ["_get_standalone_apps_dirs", "test_tools"], "tokens": 221}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@nox.session(python=PYTHON_VERSIONS)\ndef test_tools(session):\n    _upgrade_basic(session)\n    install_cmd = [\"pip\", \"install\"]\n    session.install(\"pytest\")\n    install_hydra(session, install_cmd)\n\n    tools = [\n        x\n        for x in sorted(os.listdir(os.path.join(BASE, \"tools\")))\n        if not os.path.isfile(x)\n    ]\n\n    for tool in tools:\n        tool_path = os.path.join(\"tools\", tool)\n        session.chdir(BASE)\n        if (Path(tool_path) / \"setup.py\").exists():\n            cmd = list(install_cmd) + [\"-e\", tool_path]\n            session.run(*cmd, silent=SILENT)\n            session.run(\"pytest\", tool_path)\n\n    session.chdir(BASE)\n\n\ndef _get_standalone_apps_dirs():\n    standalone_apps_dir = Path(f\"{BASE}/tests/standalone_apps\")\n    apps = [standalone_apps_dir / subdir for subdir in os.listdir(standalone_apps_dir)]\n    apps.append(f\"{BASE}/examples/advanced/hydra_app_example\")\n    return apps", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_test_core_test_plugins.test_plugins_in_directory": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_test_core_test_plugins.test_plugins_in_directory", "embedding": null, "metadata": {"file_path": "noxfile.py", "file_name": "noxfile.py", "file_type": "text/x-python", "category": "implementation", "start_line": 405, "end_line": 441, "span_ids": ["test_plugins", "test_core"], "tokens": 215}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@nox.session(python=PYTHON_VERSIONS)\ndef test_core(session):\n    _upgrade_basic(session)\n    install_hydra(session, INSTALL_COMMAND)\n    session.install(\"pytest\")\n\n    if not SKIP_CORE_TESTS:\n        run_pytest(session, \"build_helpers\", \"tests\", *session.posargs)\n    else:\n        session.log(\"Skipping Hydra core tests\")\n\n    apps = _get_standalone_apps_dirs()\n    session.log(\"Testing standalone apps\")\n    for subdir in apps:\n        session.chdir(subdir)\n        session.run(*INSTALL_COMMAND, \".\", silent=SILENT)\n        run_pytest(session, \".\")\n\n    session.chdir(BASE)\n\n    test_plugins_in_directory(\n        session,\n        install_cmd=INSTALL_COMMAND,\n        directory=\"examples/plugins\",\n        test_hydra_core=False,\n    )\n\n\n@nox.session(python=PYTHON_VERSIONS)\ndef test_plugins(session):\n    _upgrade_basic(session)\n    test_plugins_in_directory(\n        session=session,\n        install_cmd=INSTALL_COMMAND,\n        directory=\"plugins\",\n        test_hydra_core=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_test_plugins_in_directory_test_plugins_in_directory.None_3.run_pytest_session_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_test_plugins_in_directory_test_plugins_in_directory.None_3.run_pytest_session_", "embedding": null, "metadata": {"file_path": "noxfile.py", "file_name": "noxfile.py", "file_type": "text/x-python", "category": "implementation", "start_line": 444, "end_line": 478, "span_ids": ["test_plugins_in_directory"], "tokens": 344}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_plugins_in_directory(\n    session, install_cmd, directory: str, test_hydra_core: bool\n):\n    session.install(\"pytest\")\n    install_hydra(session, install_cmd)\n    selected_plugin = select_plugins(session=session, directory=directory)\n    for plugin in selected_plugin:\n        cmd = list(install_cmd) + [os.path.join(directory, plugin.path)]\n        session.run(*cmd, silent=SILENT)\n        if not SILENT:\n            session.run(\"pipdeptree\", \"-p\", plugin.name)\n\n    # Test that we can import Hydra\n    session.run(\"python\", \"-c\", \"from hydra import main\", silent=SILENT)\n\n    # Test that we can import all installed plugins\n    for plugin in selected_plugin:\n        session.run(\"python\", \"-c\", f\"import {plugin.module}\")\n\n    # Run Hydra tests to verify installed plugins did not break anything\n    if test_hydra_core:\n        if not SKIP_CORE_TESTS:\n            # exclude test_completion for plugins tests.\n            # 1. It's tested during normal core tests.\n            # 2. it's somewhat fragile and tend to timeout in mac.\n            # 3. it's expensive and it's not worth the cost to run it for plugins as well.\n            run_pytest(session, \"tests\", \"--ignore=tests/test_completion.py\")\n        else:\n            session.log(\"Skipping Hydra core tests\")\n\n    # Run tests for all installed plugins\n    for plugin in selected_plugin:\n        # install all other plugins that are compatible with the current Python version\n        session.chdir(os.path.join(BASE, directory, plugin.path))\n        run_pytest(session)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_coverage_coverage.None_6": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_coverage_coverage.None_6", "embedding": null, "metadata": {"file_path": "noxfile.py", "file_name": "noxfile.py", "file_type": "text/x-python", "category": "implementation", "start_line": 481, "end_line": 526, "span_ids": ["coverage"], "tokens": 328}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@nox.session(python=\"3.8\")\ndef coverage(session):\n    _upgrade_basic(session)\n    coverage_env = {\n        \"COVERAGE_HOME\": BASE,\n        \"COVERAGE_FILE\": f\"{BASE}/.coverage\",\n        \"COVERAGE_RCFILE\": f\"{BASE}/.coveragerc\",\n    }\n\n    session.install(\"coverage\", \"pytest\")\n    install_hydra(session, [\"pip\", \"install\", \"-e\"])\n    session.run(\"coverage\", \"erase\", env=coverage_env)\n\n    for directory in [\"plugins\", \"examples/plugins\"]:\n        selected_plugins = select_plugins(session=session, directory=directory)\n        for plugin in selected_plugins:\n            session.run(\n                \"pip\",\n                \"install\",\n                \"-e\",\n                os.path.join(directory, plugin.path),\n                silent=SILENT,\n            )\n\n        # run plugin coverage\n        for plugin in selected_plugins:\n            session.chdir(os.path.join(directory, plugin.path))\n            cov_args = [\"coverage\", \"run\", \"--append\", \"-m\"]\n            cov_args.extend(pytest_args())\n            session.run(*cov_args, silent=SILENT, env=coverage_env)\n            session.chdir(BASE)\n\n    # run hydra-core coverage\n    session.run(\n        \"coverage\",\n        \"run\",\n        \"--append\",\n        \"-m\",\n        silent=SILENT,\n        env=coverage_env,\n        *pytest_args(),\n    )\n\n    # Increase the fail_under as coverage improves\n    session.run(\"coverage\", \"report\", \"--fail-under=80\", env=coverage_env)\n    session.run(\"coverage\", \"erase\", env=coverage_env)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_test_jupyter_notebooks_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_test_jupyter_notebooks_", "embedding": null, "metadata": {"file_path": "noxfile.py", "file_name": "noxfile.py", "file_type": "text/x-python", "category": "implementation", "start_line": 529, "end_line": 576, "span_ids": ["benchmark", "test_jupyter_notebooks"], "tokens": 414}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@nox.session(python=PYTHON_VERSIONS)\ndef test_jupyter_notebooks(session):\n    _upgrade_basic(session)\n    versions = copy.copy(DEFAULT_PYTHON_VERSIONS)\n    if session.python not in versions:\n        session.skip(\n            f\"Not testing Jupyter notebook on Python {session.python}, supports [{','.join(versions)}]\"\n        )\n\n    session.install(\n        \"jupyter\", \"nbval\", \"pyzmq\", \"pytest<7.0.0\"\n    )  # pytest pinned due to https://github.com/computationalmodelling/nbval/issues/180\n    if platform.system() == \"Windows\":\n        # Newer versions of pywin32 are causing CI issues on Windows.\n        # see https://github.com/mhammond/pywin32/issues/1709\n        session.install(\"pywin32==225\")\n\n    install_hydra(session, [\"pip\", \"install\", \"-e\"])\n    args = pytest_args(\n        \"--nbval\",\n        \"-W ignore::DeprecationWarning\",\n        \"-W ignore::ResourceWarning\",\n        \"examples/jupyter_notebooks/compose_configs_in_notebook.ipynb\",\n    )\n    session.run(*args, silent=SILENT)\n\n    notebooks_dir = Path(\"tests/jupyter\")\n    for notebook in [\n        file for file in notebooks_dir.iterdir() if str(file).endswith(\".ipynb\")\n    ]:\n        args = pytest_args(\n            \"--nbval\",\n            \"-W ignore::DeprecationWarning\",\n            \"-W ignore::ResourceWarning\",\n            str(notebook),\n        )\n        args = [x for x in args if x != \"-Werror\"]\n        session.run(*args, silent=SILENT)\n\n\n@nox.session(python=PYTHON_VERSIONS)\ndef benchmark(session):\n    _upgrade_basic(session)\n    install_dev_deps(session)\n    install_hydra(session, INSTALL_COMMAND)\n    session.install(\"pytest\")\n    run_pytest(session, \"build_helpers\", \"tests/benchmark.py\", *session.posargs)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_chunk_method_for_valid_inputs_test_chunk_method_for_valid_inputs.assert_out_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_chunk_method_for_valid_inputs_test_chunk_method_for_valid_inputs.assert_out_expected", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py", "file_name": "test_ax_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 36, "end_line": 52, "span_ids": ["test_chunk_method_for_valid_inputs"], "tokens": 205}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"n,expected\",\n    [\n        (None, [[1, 2, 3, 4, 5]]),\n        (1, [[1], [2], [3], [4], [5]]),\n        (2, [[1, 2], [3, 4], [5]]),\n        (5, [[1, 2, 3, 4, 5]]),\n        (6, [[1, 2, 3, 4, 5]]),\n    ],\n)\ndef test_chunk_method_for_valid_inputs(n: int, expected: List[List[int]]) -> None:\n    from hydra_plugins.hydra_ax_sweeper._core import CoreAxSweeper  # type: ignore\n\n    chunk_func = CoreAxSweeper.chunks\n    batch = [1, 2, 3, 4, 5]\n    out = list(chunk_func(batch, n))\n    assert out == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_chunk_method_for_invalid_inputs_test_jobs_dirs.with_sweep_._and_a_total_of_6_unique": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_chunk_method_for_invalid_inputs_test_jobs_dirs.with_sweep_._and_a_total_of_6_unique", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py", "file_name": "test_ax_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 55, "end_line": 87, "span_ids": ["test_chunk_method_for_invalid_inputs", "test_jobs_dirs"], "tokens": 293}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"n\", [-1, -11, 0])\ndef test_chunk_method_for_invalid_inputs(n: int) -> None:\n    from hydra_plugins.hydra_ax_sweeper._core import CoreAxSweeper\n\n    chunk_func = CoreAxSweeper.chunks\n    batch = [1, 2, 3, 4, 5]\n    with raises(ValueError):\n        list(chunk_func(batch, n))\n\n\ndef test_jobs_dirs(hydra_sweep_runner: TSweepRunner) -> None:\n    # Verify that the spawned jobs are not overstepping the directories of one another.\n    sweep = hydra_sweep_runner(\n        calling_file=\"tests/test_ax_sweeper_plugin.py\",\n        calling_module=None,\n        task_function=quadratic,\n        config_path=\"config\",\n        config_name=\"config.yaml\",\n        overrides=[\n            \"hydra/launcher=basic\",\n            \"hydra.sweeper.ax_config.max_trials=6\",\n            \"hydra.sweeper.max_batch_size=2\",\n            \"params=basic\",\n        ],\n    )\n    with sweep:\n        assert isinstance(sweep.temp_dir, str)\n        dirs = [\n            x\n            for x in os.listdir(sweep.temp_dir)\n            if os.path.isdir(os.path.join(sweep.temp_dir, x))\n        ]\n        assert len(dirs) == 6  # and a total of 6 unique output directories", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_colorlog/example/my_app.py_logging_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_colorlog/example/my_app.py_logging_", "embedding": null, "metadata": {"file_path": "plugins/hydra_colorlog/example/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 23, "span_ids": ["my_app", "impl:3", "docstring"], "tokens": 102}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\n\nimport hydra\n\n# A logger for this file\nfrom omegaconf import DictConfig\n\nlog = logging.getLogger(__name__)\n\n\n@hydra.main(config_name=\"config\")\ndef my_app(_cfg: DictConfig) -> None:\n    log.debug(\"Debug level message\")\n    log.info(\"Info level message\")\n    log.warning(\"Warning level message\")\n    log.error(\"Error level message\")\n    log.critical(\"Critical level message\")\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/config.py_LocalQueueConf_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/config.py_LocalQueueConf_", "embedding": null, "metadata": {"file_path": "plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 62, "end_line": 84, "span_ids": ["impl", "LocalQueueConf"], "tokens": 119}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass LocalQueueConf(BaseQueueConf):\n    _target_: str = (\n        \"hydra_plugins.hydra_submitit_launcher.submitit_launcher.LocalLauncher\"\n    )\n\n\n# finally, register two different choices:\nConfigStore.instance().store(\n    group=\"hydra/launcher\",\n    name=\"submitit_local\",\n    node=LocalQueueConf(),\n    provider=\"submitit_launcher\",\n)\n\n\nConfigStore.instance().store(\n    group=\"hydra/launcher\",\n    name=\"submitit_slurm\",\n    node=SlurmQueueConf(),\n    provider=\"submitit_launcher\",\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_exception/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_exception/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_exception/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_exception/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_exception/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_exception/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 65}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(version_base=None)\ndef my_app(_: DictConfig) -> None:\n    1 / 0\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_test_apply_overrides_to_config_test_apply_overrides_to_config.if_isinstance_expected_d.else_.with_expected_.ConfigLoaderImpl__apply_o": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_test_apply_overrides_to_config_test_apply_overrides_to_config.if_isinstance_expected_d.else_.with_expected_.ConfigLoaderImpl__apply_o", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 563, "end_line": 699, "span_ids": ["test_apply_overrides_to_config"], "tokens": 1342}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"input_cfg,overrides,expected\",\n    [\n        # append\n        param(\n            {},\n            [\"x=10\"],\n            raises(\n                HydraException,\n                match=re.escape(\n                    \"Could not override 'x'.\\nTo append to your config use +x=10\"\n                ),\n            ),\n            id=\"append:error:no_match\",\n        ),\n        param({}, [\"+x=10\"], {\"x\": 10}, id=\"append\"),\n        param({}, [\"+x=[1,2,3]\"], {\"x\": [1, 2, 3]}, id=\"append:list\"),\n        param({}, [\"+x={}\"], {\"x\": {}}, id=\"append:dict:empty\"),\n        param({}, [\"+x={a:1}\"], {\"x\": {\"a\": 1}}, id=\"append:dict\"),\n        param({}, [\"+x={a:1,b:2}\"], {\"x\": {\"a\": 1, \"b\": 2}}, id=\"append:dict\"),\n        param({}, [\"+x={a:10,b:20}\"], {\"x\": {\"a\": 10, \"b\": 20}}, id=\"append:dict\"),\n        param(\n            {\"x\": 20},\n            [\"+x=10\"],\n            raises(\n                HydraException,\n                match=re.escape(\n                    \"Could not append to config. An item is already at 'x'\"\n                ),\n            ),\n            id=\"append:error:already_there\",\n        ),\n        # override\n        param({\"x\": 20}, [\"x=10\"], {\"x\": 10}, id=\"override\"),\n        param({\"x\": 20}, [\"x=10\"], {\"x\": 10}, id=\"override\"),\n        param({\"x\": None}, [\"x=[1,2,3]\"], {\"x\": [1, 2, 3]}, id=\"override:list\"),\n        param({\"x\": 20}, [\"x=null\"], {\"x\": None}, id=\"override_with_null\"),\n        param({\"x\": {\"a\": 10}}, [\"x={a:20}\"], {\"x\": {\"a\": 20}}, id=\"merge_dict\"),\n        param(\n            {\"x\": {\"a\": 10, \"b\": None}},\n            [\"x={b:20}\"],\n            {\"x\": {\"a\": 10, \"b\": 20}},\n            id=\"merge_dict\",\n        ),\n        param(\n            {\"x\": {\"a\": 10}},\n            [\"+x={b:20}\"],\n            {\"x\": {\"a\": 10, \"b\": 20}},\n            id=\"merge_dict\",\n        ),\n        param(\n            UserGroup,\n            [\"name=agents\", \"users=[]\"],\n            {\"name\": \"agents\", \"users\": []},\n            id=\"merge_list\",\n        ),\n        param(\n            UserGroup,\n            [\"name=agents\", \"users=[{}]\"],\n            {\"name\": \"agents\", \"users\": [{\"name\": MISSING, \"age\": MISSING}]},\n            id=\"merge_list\",\n        ),\n        param(\n            UserGroup,\n            [\"name=agents\", \"users=[{name:bond,age:7}]\"],\n            {\"name\": \"agents\", \"users\": [{\"name\": \"bond\", \"age\": 7}]},\n            id=\"merge_list\",\n        ),\n        param(\n            UserGroup,\n            [\"name=agents\", \"users=[{name:bond,age:nope}]\"],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\"Error merging override users=[{name:bond,age:nope}]\"),\n            ),\n            id=\"merge_list\",\n        ),\n        # delete\n        param({\"x\": 20}, [\"~x\"], {}, id=\"delete\"),\n        param({\"x\": 20}, [\"~x=20\"], {}, id=\"delete_strict\"),\n        param({\"x\": {\"y\": 10}}, [\"~x\"], {}, id=\"delete\"),\n        param({\"x\": {\"y\": 10}}, [\"~x.y\"], {\"x\": {}}, id=\"delete\"),\n        param({\"x\": {\"y\": 10}}, [\"~x.y=10\"], {\"x\": {}}, id=\"delete_strict\"),\n        param({\"x\": 20}, [\"~x\"], {}, id=\"delete\"),\n        param({\"x\": 20}, [\"~x=20\"], {}, id=\"delete_strict\"),\n        param({\"x\": {\"y\": 10}}, [\"~x\"], {}, id=\"delete\"),\n        param({\"x\": {\"y\": 10}}, [\"~x.y\"], {\"x\": {}}, id=\"delete\"),\n        param({\"x\": {\"y\": 10}}, [\"~x.y=10\"], {\"x\": {}}, id=\"delete_strict\"),\n        param({\"x\": [1, 2, 3]}, [\"~x\"], {}, id=\"delete:list\"),\n        param({\"x\": [1, 2, 3]}, [\"~x=[1,2,3]\"], {}, id=\"delete:list\"),\n        param(\n            {\"x\": 20},\n            [\"~z\"],\n            raises(\n                HydraException,\n                match=re.escape(\"Could not delete from config. 'z' does not exist.\"),\n            ),\n            id=\"delete_error_key\",\n        ),\n        param(\n            {\"x\": 20},\n            [\"~x=10\"],\n            raises(\n                HydraException,\n                match=re.escape(\n                    \"Could not delete from config. The value of 'x' is 20 and not 10.\"\n                ),\n            ),\n            id=\"delete_error_value\",\n        ),\n        param(\n            {\"x\": 20},\n            [\"foo@bar=10\"],\n            raises(\n                HydraException,\n                match=re.escape(\n                    \"Override foo@bar=10 looks like a config group override, but config group 'foo' does not exist.\"\n                ),\n            ),\n            id=\"config_group_missing\",\n        ),\n    ],\n)\ndef test_apply_overrides_to_config(\n    input_cfg: Any, overrides: List[str], expected: Any\n) -> None:\n    cfg = OmegaConf.create(input_cfg)\n    OmegaConf.set_struct(cfg, True)\n    parser = OverridesParser.create()\n    parsed = parser.parse_overrides(overrides=overrides)\n\n    if isinstance(expected, dict):\n        ConfigLoaderImpl._apply_overrides_to_config(overrides=parsed, cfg=cfg)\n        assert cfg == expected\n    else:\n        with expected:\n            ConfigLoaderImpl._apply_overrides_to_config(overrides=parsed, cfg=cfg)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_advanced_package_overrides.py_from_pathlib_import_Path_test_advanced_package_override_simple.assert_OmegaConf_create_r": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_advanced_package_overrides.py_from_pathlib_import_Path_test_advanced_package_override_simple.assert_OmegaConf_create_r", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_advanced_package_overrides.py", "file_name": "test_advanced_package_overrides.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 20, "span_ids": ["test_advanced_package_override_simple", "docstring"], "tokens": 134}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pathlib import Path\n\nfrom omegaconf import OmegaConf\n\nfrom hydra.test_utils.test_utils import chdir_hydra_root, run_python_script\n\nchdir_hydra_root()\n\n\ndef test_advanced_package_override_simple(tmpdir: Path) -> None:\n    cmd = [\n        \"examples/advanced/package_overrides/simple.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    result, _err = run_python_script(cmd)\n    assert OmegaConf.create(result) == {\n        \"db\": {\"driver\": \"mysql\", \"user\": \"omry\", \"pass\": \"secret\"}\n    }", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_configure_hydra.py_from_pathlib_import_Path_test_custom_help.assert_text_same_from_lin": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_configure_hydra.py_from_pathlib_import_Path_test_custom_help.assert_text_same_from_lin", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_configure_hydra.py", "file_name": "test_configure_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 52, "span_ids": ["test_custom_help", "docstring"], "tokens": 274}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pathlib import Path\nfrom textwrap import dedent\nfrom typing import Any\n\nfrom hydra.test_utils.test_utils import (\n    assert_text_same,\n    chdir_hydra_root,\n    run_python_script,\n)\n\nchdir_hydra_root()\n\n\ndef test_custom_help(tmpdir: Path) -> None:\n    result, _err = run_python_script(\n        [\n            \"examples/configure_hydra/custom_help/my_app.py\",\n            \"hydra.run.dir=\" + str(tmpdir),\n            \"hydra.job.chdir=True\",\n            \"--help\",\n        ]\n    )\n    expected = dedent(\n        \"\"\"\\\n            == AwesomeApp ==\n\n            This is AwesomeApp!\n            You can choose a db driver by appending\n            == Configuration groups ==\n            Compose your configuration from those groups (db=mysql)\n\n            db: mysql, postgresql\n\n\n            == Config ==\n            This is the config generated for this run.\n            You can override everything, for example:\n            python my_app.py db.user=foo db.pass=bar\n            -------\n            db:\n              driver: mysql\n              user: omry\n              pass: secret\n\n            -------\n\n            Powered by Hydra (https://hydra.cc)\n            Use --hydra-help to view Hydra specific help\n\"\"\"\n    )\n    assert_text_same(from_line=expected, to_line=result)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_configure_hydra.py_test_workdir_config_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_configure_hydra.py_test_workdir_config_", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_configure_hydra.py", "file_name": "test_configure_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 112, "end_line": 135, "span_ids": ["test_workdir_override", "test_workdir_config"], "tokens": 234}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_workdir_config(monkeypatch: Any, tmpdir: Path) -> None:\n    script = str(Path(\"examples/configure_hydra/workdir/my_app.py\").absolute())\n    monkeypatch.chdir(tmpdir)\n    result, _err = run_python_script([script, \"hydra.job.chdir=True\"])\n    assert Path(result) == Path(tmpdir) / \"run_dir\"\n\n    result, _err = run_python_script(\n        [script, \"--multirun\", \"hydra/hydra_logging=disabled\", \"hydra.job.chdir=True\"]\n    )\n    assert Path(result) == Path(tmpdir) / \"sweep_dir\" / \"0\"\n\n\ndef test_workdir_override(monkeypatch: Any, tmpdir: Path) -> None:\n    script = str(Path(\"examples/configure_hydra/workdir/my_app.py\").absolute())\n    monkeypatch.chdir(tmpdir)\n    result, _err = run_python_script(\n        [\n            script,\n            \"hydra.run.dir=blah\",\n            \"hydra.job.chdir=True\",\n        ]\n    )\n    assert Path(result) == Path(tmpdir) / \"blah\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_structured_configs_tutorial.py_re_test_1_basic_run.assert_result_Host_l": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_structured_configs_tutorial.py_re_test_1_basic_run.assert_result_Host_l", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_structured_configs_tutorial.py", "file_name": "test_structured_configs_tutorial.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 27, "span_ids": ["test_1_basic_run", "docstring"], "tokens": 148}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import re\nfrom pathlib import Path\nfrom textwrap import dedent\nfrom typing import Any\n\nfrom omegaconf import OmegaConf\nfrom pytest import mark\n\nfrom hydra.test_utils.test_utils import (\n    chdir_hydra_root,\n    run_python_script,\n    run_with_error,\n)\n\nchdir_hydra_root()\n\n\ndef test_1_basic_run(tmpdir: Path) -> None:\n    result, _err = run_python_script(\n        [\n            \"examples/tutorials/structured_configs/1_minimal/my_app.py\",\n            \"hydra.run.dir=\" + str(tmpdir),\n            \"hydra.job.chdir=True\",\n        ]\n    )\n    assert result == \"Host: localhost, port: 3306\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_structured_configs_tutorial.py_test_1_basic_run_with_override_error_test_1_basic_override.assert_result_Host_l": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_structured_configs_tutorial.py_test_1_basic_run_with_override_error_test_1_basic_override.assert_result_Host_l", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_structured_configs_tutorial.py", "file_name": "test_structured_configs_tutorial.py", "file_type": "text/x-python", "category": "test", "start_line": 30, "end_line": 56, "span_ids": ["test_1_basic_override", "test_1_basic_run_with_override_error"], "tokens": 206}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_1_basic_run_with_override_error(tmpdir: Path) -> None:\n    expected = dedent(\n        \"\"\"\\\n        Key 'pork' not in 'MySQLConfig'\n            full_key: pork\n            object_type=MySQLConfig\"\"\"\n    )\n    err = run_with_error(\n        [\n            \"examples/tutorials/structured_configs/1_minimal/my_app_type_error.py\",\n            \"hydra.run.dir=\" + str(tmpdir),\n            \"hydra.job.chdir=True\",\n        ]\n    )\n    assert re.search(re.escape(expected), err) is not None\n\n\ndef test_1_basic_override(tmpdir: Path) -> None:\n    result, _err = run_python_script(\n        [\n            \"examples/tutorials/structured_configs/1_minimal/my_app.py\",\n            \"hydra.run.dir=\" + str(tmpdir),\n            \"hydra.job.chdir=True\",\n            \"port=9090\",\n        ]\n    )\n    assert result == \"Host: localhost, port: 9090\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_structured_configs_tutorial.py_test_1_basic_override_type_error_test_2_static_complex.assert_result_Title_M": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_structured_configs_tutorial.py_test_1_basic_override_type_error_test_2_static_complex.assert_result_Title_M", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_structured_configs_tutorial.py", "file_name": "test_structured_configs_tutorial.py", "file_type": "text/x-python", "category": "test", "start_line": 59, "end_line": 86, "span_ids": ["test_1_basic_override_type_error", "test_2_static_complex"], "tokens": 210}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_1_basic_override_type_error(tmpdir: Path) -> None:\n    cmd = [\n        \"examples/tutorials/structured_configs/1_minimal/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"port=foo\",\n    ]\n\n    expected = dedent(\n        \"\"\"\\\n        Value 'foo'( of type 'str')? could not be converted to Integer\n            full_key: port\n            object_type=MySQLConfig\"\"\"\n    )\n\n    err = run_with_error(cmd)\n    assert re.search(expected, err) is not None\n\n\ndef test_2_static_complex(tmpdir: Path) -> None:\n    result, _err = run_python_script(\n        [\n            \"examples/tutorials/structured_configs/2_static_complex/my_app.py\",\n            \"hydra.run.dir=\" + str(tmpdir),\n            \"hydra.job.chdir=True\",\n        ]\n    )\n    assert result == \"Title=My app, size=1024x768 pixels\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_structured_configs_tutorial.py_test_3_config_groups_test_3_config_groups.assert_res_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_structured_configs_tutorial.py_test_3_config_groups_test_3_config_groups.assert_res_expected", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_structured_configs_tutorial.py", "file_name": "test_structured_configs_tutorial.py", "file_type": "text/x-python", "category": "test", "start_line": 89, "end_line": 108, "span_ids": ["test_3_config_groups"], "tokens": 152}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"overrides,expected\",\n    [\n        ([], {\"db\": \"???\"}),\n        (\n            [\"+db=mysql\"],\n            {\"db\": {\"driver\": \"mysql\", \"host\": \"localhost\", \"port\": 3306}},\n        ),\n    ],\n)\ndef test_3_config_groups(tmpdir: Path, overrides: Any, expected: Any) -> None:\n    cmd = [\n        \"examples/tutorials/structured_configs/3_config_groups/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    cmd.extend(overrides)\n    result, _err = run_python_script(cmd)\n    res = OmegaConf.create(result)\n    assert res == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_structured_configs_tutorial.py_test_3_config_groups_with_inheritance_test_3_config_groups_with_inheritance.assert_res_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_structured_configs_tutorial.py_test_3_config_groups_with_inheritance_test_3_config_groups_with_inheritance.assert_res_expected", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_structured_configs_tutorial.py", "file_name": "test_structured_configs_tutorial.py", "file_type": "text/x-python", "category": "test", "start_line": 111, "end_line": 142, "span_ids": ["test_3_config_groups_with_inheritance"], "tokens": 209}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"overrides,expected\",\n    [\n        ([], {\"db\": \"???\"}),\n        (\n            [\"+db=mysql\"],\n            {\"db\": {\"driver\": \"mysql\", \"host\": \"localhost\", \"port\": 3306}},\n        ),\n        (\n            [\"+db=postgresql\"],\n            {\n                \"db\": {\n                    \"driver\": \"postgresql\",\n                    \"host\": \"localhost\",\n                    \"port\": 5432,\n                    \"timeout\": 10,\n                }\n            },\n        ),\n    ],\n)\ndef test_3_config_groups_with_inheritance(\n    tmpdir: Path, overrides: Any, expected: Any\n) -> None:\n    cmd = [\n        \"examples/tutorials/structured_configs/3_config_groups/my_app_with_inheritance.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ] + overrides\n    result, _err = run_python_script(cmd)\n    res = OmegaConf.create(result)\n    assert res == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_structured_configs_tutorial.py_test_4_defaults_test_4_defaults.assert_OmegaConf_create_r": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_structured_configs_tutorial.py_test_4_defaults_test_4_defaults.assert_OmegaConf_create_r", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_structured_configs_tutorial.py", "file_name": "test_structured_configs_tutorial.py", "file_type": "text/x-python", "category": "test", "start_line": 145, "end_line": 160, "span_ids": ["test_4_defaults"], "tokens": 120}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_4_defaults(tmpdir: Path) -> None:\n    cmd = [\n        \"examples/tutorials/structured_configs/4_defaults/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    result, _err = run_python_script(cmd)\n    assert OmegaConf.create(result) == {\n        \"db\": {\n            \"driver\": \"mysql\",\n            \"host\": \"localhost\",\n            \"password\": \"secret\",\n            \"port\": 3306,\n            \"user\": \"omry\",\n        }\n    }", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_tutorials_basic.py_test_tutorial_config_file_bad_key_test_tutorial_config_file_bad_key.if_isinstance_expected_R.else_.assert_OmegaConf_create_s": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_tutorials_basic.py_test_tutorial_config_file_bad_key_test_tutorial_config_file_bad_key.if_isinstance_expected_R.else_.assert_OmegaConf_create_s", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_tutorials_basic.py", "file_name": "test_tutorials_basic.py", "file_type": "text/x-python", "category": "test", "start_line": 100, "end_line": 128, "span_ids": ["test_tutorial_config_file_bad_key"], "tokens": 206}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"args,expected\",\n    [\n        (\n            [],\n            OmegaConf.create(\n                {\"db\": {\"driver\": \"mysql\", \"user\": \"omry\", \"password\": \"secret\"}}\n            ),\n        ),\n        ([\"dataset.path=abc\"], raises(subprocess.CalledProcessError)),\n    ],\n)\ndef test_tutorial_config_file_bad_key(\n    tmpdir: Path, args: List[str], expected: Any\n) -> None:\n    \"\"\"Similar to the previous test, but also tests exception values\"\"\"\n\n    cmd = [\n        \"examples/tutorials/basic/your_first_hydra_app/2_config_file/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    cmd.extend(args)\n    if isinstance(expected, RaisesContext):\n        with expected:\n            run_python_script(cmd, print_error=False)\n    else:\n        stdout, _stderr = run_python_script(cmd)\n        assert OmegaConf.create(stdout) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_tutorials_basic.py_test_advanced_ad_hoc_composition_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_tutorials_basic.py_test_advanced_ad_hoc_composition_", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_tutorials_basic.py", "file_name": "test_tutorials_basic.py", "file_type": "text/x-python", "category": "test", "start_line": 261, "end_line": 312, "span_ids": ["test_advanced_ad_hoc_composition", "test_examples_using_the_config_object"], "tokens": 337}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"args,expected\",\n    [\n        (\n            [],\n            {\n                \"db\": {\"driver\": \"mysql\", \"pass\": \"secret\", \"user\": \"${oc.env:USER}\"},\n                \"ui\": {\"windows\": {\"create_db\": True, \"view\": True}},\n                \"schema\": {\n                    \"database\": \"school\",\n                    \"tables\": [\n                        {\n                            \"name\": \"students\",\n                            \"fields\": [{\"name\": \"string\"}, {\"class\": \"int\"}],\n                        },\n                        {\n                            \"name\": \"exams\",\n                            \"fields\": [\n                                {\"profession\": \"string\"},\n                                {\"time\": \"data\"},\n                                {\"class\": \"int\"},\n                            ],\n                        },\n                    ],\n                },\n            },\n        )\n    ],\n)\ndef test_advanced_ad_hoc_composition(\n    monkeypatch: Any, tmpdir: Path, args: List[str], expected: Any\n) -> None:\n\n    monkeypatch.setenv(\"USER\", \"test_user\")\n    cmd = [\n        \"examples/advanced/ad_hoc_composition/hydra_compose_example.py\",\n        f\"hydra.run.dir={tmpdir}\",\n        \"hydra.job.chdir=True\",\n    ]\n    result, _err = run_python_script(cmd)\n    assert OmegaConf.create(result) == OmegaConf.create(expected)\n\n\ndef test_examples_using_the_config_object(tmpdir: Path) -> None:\n    cmd = [\n        \"examples/tutorials/basic/your_first_hydra_app/3_using_config/my_app.py\",\n        f\"hydra.run.dir={tmpdir}\",\n        \"hydra.job.chdir=True\",\n    ]\n\n    run_python_script(cmd)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_env_set_with_config_test_hydra_env_set_with_override.integration_test_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_env_set_with_config_test_hydra_env_set_with_override.integration_test_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 740, "end_line": 758, "span_ids": ["test_hydra_env_set_with_config", "test_hydra_env_set_with_override"], "tokens": 140}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_hydra_env_set_with_config(tmpdir: Path) -> None:\n    cfg = OmegaConf.create({\"hydra\": {\"job\": {\"env_set\": {\"foo\": \"bar\"}}}})\n    integration_test(\n        tmpdir=tmpdir,\n        task_config=cfg,\n        overrides=[],\n        prints=\"os.environ['foo']\",\n        expected_outputs=\"bar\",\n    )\n\n\ndef test_hydra_env_set_with_override(tmpdir: Path) -> None:\n    integration_test(\n        tmpdir=tmpdir,\n        task_config={},\n        overrides=[\"+hydra.job.env_set.foo=bar\"],\n        prints=\"os.environ['foo']\",\n        expected_outputs=\"bar\",\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_TestTaskRunnerLogging_TestTaskRunnerLogging.test_2.logger_info_test_2_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_TestTaskRunnerLogging_TestTaskRunnerLogging.test_2.logger_info_test_2_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1106, "end_line": 1121, "span_ids": ["TestTaskRunnerLogging.test_2", "TestTaskRunnerLogging", "TestTaskRunnerLogging.test_1"], "tokens": 114}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class TestTaskRunnerLogging:\n    def test_1(\n        self, hydra_restore_singletons: Any, hydra_task_runner: TTaskRunner\n    ) -> None:\n        with hydra_task_runner(\n            calling_file=None,\n            calling_module=\"tests.test_apps.app_without_config.my_app\",\n            config_path=None,\n            config_name=None,\n        ):\n            logger = getLogger(__name__)\n            logger.info(\"test_1\")\n\n    def test_2(self) -> None:\n        logger = getLogger(__name__)\n        logger.info(\"test_2\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_glob_filter_test_glob_filter.assert_Glob_include_inclu": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_glob_filter_test_glob_filter.assert_Glob_include_inclu", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 1821, "end_line": 1844, "span_ids": ["test_glob_filter"], "tokens": 236}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"include,exclude,expected\",\n    [\n        param(\n            [\"*\"],\n            [],\n            [\"the\", \"quick\", \"brown\", \"fox\", \"jumped\", \"under\", \"the\", \"lazy\", \"dog\"],\n            id=\"include=*\",\n        ),\n        param(\n            [\"*\"],\n            [\"quick\", \"under\"],\n            [\"the\", \"brown\", \"fox\", \"jumped\", \"the\", \"lazy\", \"dog\"],\n            id=\"include=*, exclude=[quick,under]]\",\n        ),\n        param([\"*\"], [\"*d*\"], [\"the\", \"quick\", \"brown\", \"fox\", \"the\", \"lazy\"], id=\"=*\"),\n        param([\"t*\"], [], [\"the\", \"the\"], id=\"=*\"),\n    ],\n)\ndef test_glob_filter(\n    include: List[str], exclude: List[str], expected: List[str]\n) -> None:\n    strings = [\"the\", \"quick\", \"brown\", \"fox\", \"jumped\", \"under\", \"the\", \"lazy\", \"dog\"]\n    assert Glob(include=include, exclude=exclude).filter(strings) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_whitespaces_test_whitespaces.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_whitespaces_test_whitespaces.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 1847, "end_line": 1922, "span_ids": ["test_whitespaces"], "tokens": 560}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value,expected_key,expected_value,expected_value_type\",\n    [\n        param(\n            \"key= \\tvalue \\t\", \"key\", \"value\", ValueType.ELEMENT, id=\"leading+trailing\"\n        ),\n        param(\n            \"key=value \\t 123\",\n            \"key\",\n            \"value \\t 123\",\n            ValueType.ELEMENT,\n            id=\"inside_primitive\",\n        ),\n        param(\n            \"key='  foo,bar\\t'\",\n            \"key\",\n            QuotedString(text=\"  foo,bar\\t\", quote=Quote.single),\n            ValueType.ELEMENT,\n            id=\"inside_quoted_value_outer\",\n        ),\n        param(\n            \"key='foo , \\t\\t bar'\",\n            \"key\",\n            QuotedString(text=\"foo , \\t\\t bar\", quote=Quote.single),\n            ValueType.ELEMENT,\n            id=\"inside_quoted_value_inter\",\n        ),\n        param(\n            \"key=1 ,  2,\\t\\t3\",\n            \"key\",\n            ChoiceSweep(list=[1, 2, 3], simple_form=True),\n            ValueType.SIMPLE_CHOICE_SWEEP,\n            id=\"around_commas\",\n        ),\n        param(\n            \"key=choice\\t(  1\\t\\t )\",\n            \"key\",\n            ChoiceSweep(list=[1]),\n            ValueType.CHOICE_SWEEP,\n            id=\"function_one_arg\",\n        ),\n        param(\n            \"key=choice(\\t\\t1,   2, \\t 3 )\",\n            \"key\",\n            ChoiceSweep(list=[1, 2, 3]),\n            ValueType.CHOICE_SWEEP,\n            id=\"function_many_args\",\n        ),\n        param(\n            \"key=[1  ,\\t2\\t],[\\t3\\t   ,4  ]\",\n            \"key\",\n            ChoiceSweep(list=[[1, 2], [3, 4]], simple_form=True),\n            ValueType.SIMPLE_CHOICE_SWEEP,\n            id=\"in_lists\",\n        ),\n        param(\n            \"key=str(\\t  [  1,\\t2  ]\\t   )\",\n            \"key\",\n            [\"1\", \"2\"],\n            ValueType.ELEMENT,\n            id=\"mixed\",\n        ),\n    ],\n)\ndef test_whitespaces(\n    value: str, expected_key: str, expected_value: Any, expected_value_type: ValueType\n) -> None:\n    ret = parse_rule(value, \"override\")\n    expected = Override(\n        input_line=value,\n        type=OverrideType.CHANGE,\n        key_or_group=expected_key,\n        _value=expected_value,\n        value_type=expected_value_type,\n    )\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/ci/circleci_pipeline.py_run_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/ci/circleci_pipeline.py_run_", "embedding": null, "metadata": {"file_path": "tools/ci/circleci_pipeline.py", "file_name": "circleci_pipeline.py", "file_type": "text/x-python", "category": "implementation", "start_line": 45, "end_line": 81, "span_ids": ["impl:7", "run"], "tokens": 318}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def run() -> None:\n    auth = os.environ.get(\"CIRCLECI_TOKEN\", \"0\")\n    assert auth != \"0\", \"Please set CIRCLECI_TOKEN for your project.\"\n\n    branch = os.environ.get(\"CIRCLE_BRANCH\", \"\")\n    repo_url = os.environ.get(\"CIRCLE_REPOSITORY_URL\", \"\")\n    pr_number = os.environ.get(\"CIRCLE_PR_NUMBER\", \"\")\n\n    # https://support.circleci.com/hc/en-us/articles/360049841151\n    if pr_number:\n        branch += \"/head\"\n    p = re.compile(git_repo_pattern)\n    m = re.search(p, repo_url)\n    repo_name = m.group(m.groups().index(\".git\"))\n    headers = {\"Circle-Token\": auth, \"Content-type\": \"application/json\"}\n\n    for p in get_available_plugin():\n        data = {\n            \"branch\": branch,\n            \"parameters\": {\"test_plugins\": p, \"plugin_test\": True},\n        }\n        post_url = f\"https://circleci.com/api/v2/project/gh/{repo_name}/pipeline\"\n        print(f\"Data: {data}, URL: {post_url}\")\n        r = requests.post(\n            post_url,\n            headers=headers,\n            data=json.dumps(data),\n        )\n        assert (\n            r.status_code == 201\n        ), f\"Unexpected response while submitting CIRCLECI job for plugins. Response: {r.json()}\"\n        print(f\"Trigger pipeline for plugin {p}, response: {r.json()}\")\n\n\nif __name__ == \"__main__\":\n    run()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/configen.py_is_incompatible_is_incompatible.return.True": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/configen.py_is_incompatible_is_incompatible.return.True", "embedding": null, "metadata": {"file_path": "tools/configen/configen/configen.py", "file_name": "configen.py", "file_type": "text/x-python", "category": "implementation", "start_line": 91, "end_line": 130, "span_ids": ["is_incompatible"], "tokens": 299}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def is_incompatible(type_: Type[Any]) -> bool:\n\n    opt = _resolve_optional(type_)\n    # Unions are not supported (Except Optional)\n    if not opt[0] and is_union_annotation(type_):\n        return True\n\n    type_ = opt[1]\n    if type_ in (type(None), tuple, list, dict):\n        return False\n\n    try:\n        if is_list_annotation(type_):\n            lt = get_list_element_type(type_)\n            return is_incompatible(lt)\n        if is_dict_annotation(type_):\n            kvt = get_dict_key_value_types(type_)\n            if not issubclass(kvt[0], (str, Enum)):\n                return True\n            return is_incompatible(kvt[1])\n        if is_tuple_annotation(type_):\n            for arg in type_.__args__:\n                if arg is not ... and is_incompatible(arg):\n                    return True\n            return False\n    except ValidationError:\n        return True\n\n    if type_ is Any or issubclass(type_, (int, float, str, bool, Enum)):\n        return False\n    if is_structured_config(type_):\n        try:\n            OmegaConf.structured(type_)  # verify it's actually legal\n        except ValidationError as e:\n            log.debug(\n                f\"Failed to create DictConfig from ({type_.__name__}) : {e}, flagging as incompatible\"\n            )\n            return True\n        return False\n    return True", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/configen.py_generate_module_generate_module.return.template_render_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/configen.py_generate_module_generate_module.return.template_render_", "embedding": null, "metadata": {"file_path": "tools/configen/configen/configen.py", "file_name": "configen.py", "file_type": "text/x-python", "category": "implementation", "start_line": 158, "end_line": 238, "span_ids": ["generate_module"], "tokens": 556}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def generate_module(cfg: ConfigenConf, module: ModuleConf) -> str:\n    classes_map: Dict[str, ClassInfo] = {}\n    imports: Set[Any] = set()\n    string_imports: Set[str] = set()\n\n    default_flags = get_default_flags(module)\n\n    for class_name in module.classes:\n        full_name = f\"{module.name}.{class_name}\"\n        cls = hydra.utils.get_class(full_name)\n        sig = inspect.signature(cls)\n        resolved_hints = get_type_hints(cls.__init__)  # type: ignore\n        params: List[Parameter] = []\n        params = params + default_flags\n\n        for name, p in sig.parameters.items():\n            type_ = original_type = resolved_hints.get(name, sig.empty)\n            default_ = p.default\n\n            missing_value = default_ == sig.empty\n            incompatible_value_type = not missing_value and is_incompatible(\n                type(default_)\n            )\n\n            missing_annotation_type = type_ == sig.empty\n            incompatible_annotation_type = (\n                not missing_annotation_type and is_incompatible(type_)\n            )\n\n            if missing_annotation_type or incompatible_annotation_type:\n                type_ = Any\n                collect_imports(imports, Any)\n\n            if not missing_value:\n                if type_ == str or type(default_) == str:\n                    default_ = f'\"{default_}\"'\n                elif isinstance(default_, list):\n                    default_ = f\"field(default_factory=lambda: {default_})\"\n                elif isinstance(default_, dict):\n                    default_ = f\"field(default_factory=lambda: {default_})\"\n\n            missing_default = missing_value\n            if (\n                incompatible_annotation_type\n                or incompatible_value_type\n                or missing_default\n            ):\n                missing_default = True\n\n            collect_imports(imports, type_)\n\n            if missing_default:\n                if incompatible_annotation_type:\n                    default_ = f\"MISSING  # {type_str(original_type)}\"\n                elif incompatible_value_type:\n                    default_ = f\"MISSING  # {type_str(type(p.default))}\"\n                else:\n                    default_ = \"MISSING\"\n                string_imports.add(\"from omegaconf import MISSING\")\n\n            params.append(\n                Parameter(\n                    name=name,\n                    type_str=type_str(type_),\n                    default=default_,\n                )\n            )\n        classes_map[class_name] = ClassInfo(\n            target=full_name,\n            module=module.name,\n            name=class_name,\n            parameters=params,\n        )\n\n    template = jinja_env.get_template(\"module.j2\")\n    return template.render(\n        imports=convert_imports(imports, string_imports),\n        classes=module.classes,\n        classes_map=classes_map,\n        header=cfg.header,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/samples/my_module.py_User_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/samples/my_module.py_User_", "embedding": null, "metadata": {"file_path": "tools/configen/configen/samples/my_module.py", "file_name": "my_module.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 20, "span_ids": ["Admin.__repr__", "User", "User.__repr__", "Admin.__init__", "User.__init__", "Admin"], "tokens": 132}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class User:\n    def __init__(self, age: int, name: str):\n        self.age = age\n        self.name = name\n\n    def __repr__(self):\n        return f\"User: name={self.name}, age={self.age}\"\n\n\nclass Admin(User):\n    def __init__(self, private_key: str, age: int, name: str) -> None:\n        super().__init__(age, name)\n        self.private_key = private_key\n\n    def __repr__(self):\n        return (\n            f\"Admin: name={self.name}, age={self.age}, private_key={self.private_key}\"\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/utils.py_sys_type_str.if_is_optional_.else_.return.ret": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/utils.py_sys_type_str.if_is_optional_.else_.return.ret", "embedding": null, "metadata": {"file_path": "tools/configen/configen/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 57, "span_ids": ["type_str", "docstring"], "tokens": 377}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import sys\nfrom enum import Enum\nfrom typing import Any, Dict, Iterable, List, Optional, Set, Tuple\n\nfrom omegaconf._utils import (\n    _resolve_optional,\n    get_dict_key_value_types,\n    get_list_element_type,\n    is_dict_annotation,\n    is_list_annotation,\n    is_primitive_type_annotation,\n)\n\n\n# borrowed from OmegaConf\ndef type_str(t: Any) -> str:\n    is_optional, t = _resolve_optional(t)\n    if t is None:\n        return type(t).__name__\n    if t is Any:\n        return \"Any\"\n    if t is ...:\n        return \"...\"\n\n    if sys.version_info < (3, 7, 0):  # pragma: no cover\n        # Python 3.6\n        if hasattr(t, \"__name__\"):\n            name = str(t.__name__)\n        else:\n            if t.__origin__ is not None:\n                name = type_str(t.__origin__)\n            else:\n                name = str(t)\n                if name.startswith(\"typing.\"):\n                    name = name[len(\"typing.\") :]\n    else:  # pragma: no cover\n        # Python >= 3.7\n        if hasattr(t, \"__name__\"):\n            name = str(t.__name__)\n        else:\n            if t._name is None:\n                if t.__origin__ is not None:\n                    name = type_str(t.__origin__)\n            else:\n                name = str(t._name)\n\n    args = getattr(t, \"__args__\", None)\n    if args is not None:\n        args = \", \".join([type_str(t) for t in t.__args__])\n        ret = f\"{name}[{args}]\"\n    else:\n        ret = name\n    if is_optional:\n        return f\"Optional[{ret}]\"\n    else:\n        return ret", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/utils.py_is_tuple_annotation_convert_imports.return.sorted_list_tmp_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/utils.py_is_tuple_annotation_convert_imports.return.sorted_list_tmp_", "embedding": null, "metadata": {"file_path": "tools/configen/configen/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 60, "end_line": 94, "span_ids": ["is_tuple_annotation", "convert_imports"], "tokens": 256}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def is_tuple_annotation(type_: Any) -> bool:\n    origin = getattr(type_, \"__origin__\", None)\n    if sys.version_info < (3, 7, 0):\n        return origin is Tuple or type_ is Tuple  # pragma: no cover\n    else:\n        return origin is tuple  # pragma: no cover\n\n\ndef convert_imports(imports: Set[Any], string_imports: Iterable[str]) -> List[str]:\n    tmp = set()\n    for imp in string_imports:\n        tmp.add(imp)\n    for t in imports:\n        s = None\n        origin = getattr(t, \"__origin__\", None)\n        if t is Any:\n            classname = \"Any\"\n        elif t is Optional:\n            classname = \"Optional\"\n        else:\n            if origin is list:\n                classname = \"List\"\n            elif origin is tuple:\n                classname = \"Tuple\"\n            elif origin is dict:\n                classname = \"Dict\"\n            else:\n                classname = t.__name__\n\n        if not is_primitive_type_annotation(t) or issubclass(t, Enum):\n            s = f\"from {t.__module__} import {classname}\"\n\n        if s is not None:\n            tmp.add(s)\n    return sorted(list(tmp))", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/utils.py_collect_imports_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/utils.py_collect_imports_", "embedding": null, "metadata": {"file_path": "tools/configen/configen/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 97, "end_line": 111, "span_ids": ["collect_imports"], "tokens": 131}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def collect_imports(imports: Set[Any], type_: Any) -> None:\n    if is_list_annotation(type_):\n        collect_imports(imports, get_list_element_type(type_))\n        type_ = List\n    elif is_dict_annotation(type_):\n        kvt = get_dict_key_value_types(type_)\n        collect_imports(imports, kvt[0])\n        collect_imports(imports, kvt[1])\n        type_ = Dict\n    else:\n        is_optional = _resolve_optional(type_)[0]\n        if is_optional and type_ is not Any:\n            type_ = Optional\n    imports.add(type_)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_generate.py_test_instantiate_classes_test_instantiate_classes.assert_obj_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_generate.py_test_instantiate_classes_test_instantiate_classes.assert_obj_expected", "embedding": null, "metadata": {"file_path": "tools/configen/tests/test_generate.py", "file_name": "test_generate.py", "file_type": "text/x-python", "category": "test", "start_line": 173, "end_line": 285, "span_ids": ["test_instantiate_classes"], "tokens": 853}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"classname, params, args, kwargs, expected\",\n    [\n        param(\"Empty\", {}, [], {}, Empty(), id=\"Empty\"),\n        param(\n            \"UntypedArg\", {\"param\": 11}, [], {}, UntypedArg(param=11), id=\"UntypedArg\"\n        ),\n        param(\n            \"UntypedArg\",\n            {},\n            [],\n            {\"param\": LibraryClass()},\n            UntypedArg(param=LibraryClass()),\n            id=\"UntypedArg_passthrough_lib_class\",\n        ),\n        param(\"IntArg\", {\"param\": 1}, [], {}, IntArg(param=1), id=\"IntArg\"),\n        param(\"UnionArg\", {\"param\": 1}, [], {}, UnionArg(param=1), id=\"UnionArg\"),\n        param(\"UnionArg\", {\"param\": 3.14}, [], {}, UnionArg(param=3.14), id=\"UnionArg\"),\n        # This is okay because Union is not supported and is treated as Any\n        param(\n            \"UnionArg\",\n            {\"param\": \"str\"},\n            [],\n            {},\n            UnionArg(param=\"str\"),  # type: ignore\n            id=\"UnionArg:illegal_but_ok_arg\",\n        ),\n        param(\n            \"WithLibraryClassArg\",\n            {\"num\": 10},\n            [],\n            {\"param\": LibraryClass()},\n            WithLibraryClassArg(num=10, param=LibraryClass()),\n            id=\"WithLibraryClassArg\",\n        ),\n        param(\n            \"IncompatibleDataclassArg\",\n            {\"num\": 10},\n            [],\n            {\"incompat\": IncompatibleDataclass()},\n            IncompatibleDataclassArg(num=10, incompat=IncompatibleDataclass()),\n            id=\"IncompatibleDataclassArg\",\n        ),\n        param(\n            \"WithStringDefault\",\n            {\"no_default\": \"foo\"},\n            [],\n            {},\n            WithStringDefault(no_default=\"foo\"),\n            id=\"WithStringDefault\",\n        ),\n        param(\n            \"WithUntypedStringDefault\",\n            {\"default_str\": \"foo\"},\n            [],\n            {},\n            WithUntypedStringDefault(default_str=\"foo\"),\n            id=\"WithUntypedStringDefault\",\n        ),\n        param(\n            \"ListValues\",\n            {\n                \"lst\": [\"1\"],\n                \"enum_lst\": [\"RED\"],\n                \"dataclass_val\": [{\"name\": \"Bond\", \"age\": 7}],\n            },\n            [],\n            {\"passthrough_list\": [LibraryClass()]},\n            ListValues(\n                lst=[\"1\"],\n                enum_lst=[Color.RED],\n                passthrough_list=[LibraryClass()],\n                dataclass_val=[User(name=\"Bond\", age=7)],\n            ),\n            id=\"ListValues\",\n        ),\n        param(\n            \"DictValues\",\n            {\n                \"dct\": {\"foo\": \"bar\"},\n                \"enum_key\": {\"RED\": \"red\"},\n                \"dataclass_val\": {\"007\": {\"name\": \"Bond\", \"age\": 7}},\n            },\n            [],\n            {\"passthrough_dict\": {\"lib\": LibraryClass()}},\n            DictValues(\n                dct={\"foo\": \"bar\"},\n                enum_key={Color.RED: \"red\"},\n                dataclass_val={\"007\": User(name=\"Bond\", age=7)},\n                passthrough_dict={\"lib\": LibraryClass()},\n            ),\n            id=\"DictValues\",\n        ),\n        param(\"Tuples\", {\"t1\": [1.0, 2.1]}, [], {}, Tuples(t1=(1.0, 2.1)), id=\"Tuples\"),\n        param(\n            \"PeskySentinelUsage\",\n            {},\n            [],\n            {\"foo\": 10.11},\n            PeskySentinelUsage(foo=10.11),\n            id=\"PeskySentinelUsage\",\n        ),\n    ],\n)\ndef test_instantiate_classes(\n    classname: str, params: Any, args: Any, kwargs: Any, expected: Any\n) -> None:\n    full_class = f\"{MODULE_NAME}.generated.{classname}Conf\"\n    schema = OmegaConf.structured(get_class(full_class))\n    cfg = OmegaConf.merge(schema, params)\n    kwargs[\"config\"] = cfg\n    obj = instantiate(*args, **kwargs)\n    assert obj == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_generate.py_test_example_application_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_generate.py_test_example_application_", "embedding": null, "metadata": {"file_path": "tools/configen/tests/test_generate.py", "file_name": "test_generate.py", "file_type": "text/x-python", "category": "test", "start_line": 287, "end_line": 301, "span_ids": ["test_example_application"], "tokens": 116}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_example_application(monkeypatch: Any, tmpdir: Path):\n    monkeypatch.chdir(\"example\")\n    cmd = [\n        \"my_app.py\",\n        f\"hydra.run.dir={tmpdir}\",\n        \"hydra.job.chdir=True\",\n        \"user.name=Batman\",\n    ]\n    result, _err = run_python_script(cmd)\n    assert result == dedent(\n        \"\"\"\\\n    User: name=Batman, age=7\n    Admin: name=Lex Luthor, age=10, private_key=deadbeef\"\"\"\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/__init__.py_from_dataclasses_import_d_IncompatibleDataclassArg.__eq__.return._": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/__init__.py_from_dataclasses_import_d_IncompatibleDataclassArg.__eq__.return._", "embedding": null, "metadata": {"file_path": "tools/configen/tests/test_modules/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 97, "span_ids": ["LibraryClass.__eq__", "IntArg", "docstring", "IntArg.__init__", "WithLibraryClassArg.__init__", "Empty.__init__", "UntypedArg", "WithLibraryClassArg", "LibraryClass.__init__", "User", "Empty", "UnionArg.__eq__", "IncompatibleDataclass", "IntArg.__eq__", "UntypedArg.__init__", "UntypedArg.__eq__", "IncompatibleDataclassArg", "IncompatibleDataclassArg.__eq__", "IncompatibleDataclassArg.__init__", "LibraryClass", "Empty.__eq__", "WithLibraryClassArg.__eq__", "UnionArg", "IncompatibleDataclass.__eq__", "UnionArg.__init__", "Color"], "tokens": 501}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\nfrom enum import Enum\nfrom typing import Dict, List, Optional, Tuple, Union\n\nfrom omegaconf import MISSING\n\n\nclass Color(Enum):\n    RED = 0\n    GREEN = 1\n    BLUE = 2\n\n\n@dataclass\nclass User:\n    name: str = MISSING\n    age: int = MISSING\n\n\nclass LibraryClass:\n    \"\"\"\n    Some class from a user library that is incompatible with OmegaConf config\n    \"\"\"\n\n    def __init__(self):\n        pass\n\n    def __eq__(self, other):\n        return isinstance(other, type(self))\n\n\nclass Empty:\n    def __init__(self):\n        ...\n\n    def __eq__(self, other):\n        return isinstance(other, type(self))\n\n\nclass UntypedArg:\n    def __init__(self, param):\n        self.param = param\n\n    def __eq__(self, other):\n        return isinstance(other, type(self)) and other.param == self.param\n\n\nclass IntArg:\n    def __init__(self, param: int):\n        self.param = param\n\n    def __eq__(self, other):\n        return isinstance(other, type(self)) and other.param == self.param\n\n\nclass UnionArg:\n    # Union is not currently supported by OmegaConf, it will be typed as Any\n    def __init__(self, param: Union[int, float]):\n        self.param = param\n\n    def __eq__(self, other):\n        return isinstance(other, type(self)) and other.param == self.param\n\n\nclass WithLibraryClassArg:\n    def __init__(self, num: int, param: LibraryClass):\n        self.num = num\n        self.param = param\n\n    def __eq__(self, other):\n        return (\n            isinstance(other, type(self))\n            and other.num == self.num\n            and other.param == self.param\n        )\n\n\n@dataclass\nclass IncompatibleDataclass:\n    library: LibraryClass = LibraryClass()\n\n    def __eq__(self, other):\n        return isinstance(other, type(self)) and other.library == self.library\n\n\nclass IncompatibleDataclassArg:\n    def __init__(self, num: int, incompat: IncompatibleDataclass):\n        self.num = num\n        self.incompat = incompat\n\n    def __eq__(self, other):\n        return (\n            isinstance(other, type(self))\n            and self.num == other.num\n            and self.incompat == other.incompat\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/__init__.py_ListValues_ListValues.__eq__.return._": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/__init__.py_ListValues_ListValues.__eq__.return._", "embedding": null, "metadata": {"file_path": "tools/configen/tests/test_modules/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 120, "end_line": 143, "span_ids": ["ListValues.__init__", "ListValues.__eq__", "ListValues"], "tokens": 174}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ListValues:\n    def __init__(\n        self,\n        lst: List[str],\n        enum_lst: List[Color],\n        passthrough_list: List[LibraryClass],\n        dataclass_val: List[User],\n        def_value: List[str] = [],\n    ):\n        self.lst = lst\n        self.enum_lst = enum_lst\n        self.passthrough_list = passthrough_list\n        self.dataclass_val = dataclass_val\n        self.def_value = def_value\n\n    def __eq__(self, other):\n        return (\n            isinstance(other, type(self))\n            and self.lst == other.lst\n            and self.enum_lst == other.enum_lst\n            and self.passthrough_list == other.passthrough_list\n            and self.dataclass_val == other.dataclass_val\n            and self.def_value == other.def_value\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/__init__.py_DictValues_DictValues.__eq__.return._": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/__init__.py_DictValues_DictValues.__eq__.return._", "embedding": null, "metadata": {"file_path": "tools/configen/tests/test_modules/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 146, "end_line": 169, "span_ids": ["DictValues.__init__", "DictValues", "DictValues.__eq__"], "tokens": 185}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class DictValues:\n    def __init__(\n        self,\n        dct: Dict[str, str],\n        enum_key: Dict[Color, str],\n        dataclass_val: Dict[str, User],\n        passthrough_dict: Dict[str, LibraryClass],\n        def_value: Dict[str, str] = {},\n    ):\n        self.dct = dct\n        self.enum_key = enum_key\n        self.dataclass_val = dataclass_val\n        self.passthrough_dict = passthrough_dict\n        self.def_value = def_value\n\n    def __eq__(self, other):\n        return (\n            isinstance(other, type(self))\n            and self.dct == other.dct\n            and self.enum_key == other.enum_key\n            and self.dataclass_val == other.dataclass_val\n            and self.passthrough_dict == other.passthrough_dict\n            and self.def_value == other.def_value\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/__init__.py_PeskySentinel_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/__init__.py_PeskySentinel_", "embedding": null, "metadata": {"file_path": "tools/configen/tests/test_modules/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 172, "end_line": 206, "span_ids": ["PeskySentinel", "PeskySentinelUsage.__init__", "PeskySentinelUsage.__eq__", "impl", "Tuples.__init__", "Tuples.__eq__", "Tuples", "PeskySentinel.__repr__", "PeskySentinelUsage"], "tokens": 217}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class PeskySentinel(object):\n    def __repr__(self):\n        return \"<I am a pesky sentinel>\"\n\n\npesky = PeskySentinel()\n\n\nclass PeskySentinelUsage:\n    def __init__(self, foo=pesky):\n        self.foo = foo\n\n    def __eq__(self, other):\n        return isinstance(other, type(self)) and self.foo == other.foo\n\n\nclass Tuples:\n    def __init__(\n        self,\n        t1: Tuple[float, float],\n        t2=(1, 2, 3),\n        t3: Tuple[float, ...] = (0.1, 0.2, 0.3),\n    ):\n        self.t1 = t1\n        self.t2 = t2\n        self.t3 = t3\n\n    def __eq__(self, other):\n        return (\n            isinstance(other, type(self))\n            and self.t1 == other.t1\n            and self.t2 == other.t2\n            and self.t3 == other.t3\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/generated.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/generated.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "tools/configen/tests/test_modules/generated.py", "file_name": "generated.py", "file_type": "text/x-python", "category": "test", "start_line": 8, "end_line": 102, "span_ids": ["PeskySentinelUsageConf", "WithStringDefaultConf", "IntArgConf", "UntypedArgConf", "DictValuesConf", "TuplesConf", "IncompatibleDataclassArgConf", "WithLibraryClassArgConf", "WithUntypedStringDefaultConf", "EmptyConf", "ListValuesConf", "docstring", "UnionArgConf"], "tokens": 649}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass, field\nfrom omegaconf import MISSING\nfrom tests.test_modules import Color\nfrom tests.test_modules import User\nfrom typing import Any\nfrom typing import Dict\nfrom typing import List\nfrom typing import Optional\nfrom typing import Tuple\n\n\n@dataclass\nclass EmptyConf:\n    _target_: str = \"tests.test_modules.Empty\"\n\n\n@dataclass\nclass UntypedArgConf:\n    _target_: str = \"tests.test_modules.UntypedArg\"\n    param: Any = MISSING\n\n\n@dataclass\nclass IntArgConf:\n    _target_: str = \"tests.test_modules.IntArg\"\n    param: int = MISSING\n\n\n@dataclass\nclass UnionArgConf:\n    _target_: str = \"tests.test_modules.UnionArg\"\n    param: Any = MISSING  # Union[int, float]\n\n\n@dataclass\nclass WithLibraryClassArgConf:\n    _target_: str = \"tests.test_modules.WithLibraryClassArg\"\n    num: int = MISSING\n    param: Any = MISSING  # LibraryClass\n\n\n@dataclass\nclass IncompatibleDataclassArgConf:\n    _target_: str = \"tests.test_modules.IncompatibleDataclassArg\"\n    num: int = MISSING\n    incompat: Any = MISSING  # IncompatibleDataclass\n\n\n@dataclass\nclass WithStringDefaultConf:\n    _target_: str = \"tests.test_modules.WithStringDefault\"\n    no_default: str = MISSING\n    default_str: str = \"Bond, James Bond\"\n    none_str: Optional[str] = None\n\n\n@dataclass\nclass WithUntypedStringDefaultConf:\n    _target_: str = \"tests.test_modules.WithUntypedStringDefault\"\n    default_str: Any = \"Bond, James Bond\"\n\n\n@dataclass\nclass ListValuesConf:\n    _target_: str = \"tests.test_modules.ListValues\"\n    lst: List[str] = MISSING\n    enum_lst: List[Color] = MISSING\n    passthrough_list: Any = MISSING  # List[LibraryClass]\n    dataclass_val: List[User] = MISSING\n    def_value: List[str] = field(default_factory=lambda: [])\n\n\n@dataclass\nclass DictValuesConf:\n    _target_: str = \"tests.test_modules.DictValues\"\n    dct: Dict[str, str] = MISSING\n    enum_key: Dict[Color, str] = MISSING\n    dataclass_val: Dict[str, User] = MISSING\n    passthrough_dict: Any = MISSING  # Dict[str, LibraryClass]\n    def_value: Dict[str, str] = field(default_factory=lambda: {})\n\n\n@dataclass\nclass TuplesConf:\n    _target_: str = \"tests.test_modules.Tuples\"\n    t1: Tuple[float, float] = MISSING\n    t2: Any = (1, 2, 3)\n    t3: Tuple[float, ...] = (0.1, 0.2, 0.3)\n\n\n@dataclass\nclass PeskySentinelUsageConf:\n    _target_: str = \"tests.test_modules.PeskySentinelUsage\"\n    foo: Any = MISSING  # PeskySentinel", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/release/release.py_logging_parse_version.return.v": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/release/release.py_logging_parse_version.return.v", "embedding": null, "metadata": {"file_path": "tools/release/release.py", "file_name": "release.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 84, "span_ids": ["impl:3", "Action", "parse_version", "Config", "Package", "get_releases", "docstring", "VersionType", "get_metadata", "PackageInfo"], "tokens": 490}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nimport os\nimport re\nimport shutil\nfrom dataclasses import dataclass\nfrom enum import Enum\nfrom functools import lru_cache\nfrom pathlib import Path\nfrom typing import Dict, List, Tuple\n\nimport hydra\nimport requests\nfrom hydra.core.config_store import ConfigStore\nfrom hydra.test_utils.test_utils import find_parent_dir_containing, run_python_script\nfrom omegaconf import II, MISSING, SI, DictConfig, OmegaConf\nfrom packaging.version import Version, parse\n\nlog = logging.getLogger(__name__)\n\n\nclass Action(Enum):\n    check = 1\n    build = 2\n    bump = 3\n\n\nclass VersionType(Enum):\n    SETUP = 1\n    FILE = 2\n\n\n@dataclass\nclass Package:\n    name: str = II(\"parent_key:\")\n    module: str = II(\".name\")\n    path: str = MISSING\n    version_type: VersionType = VersionType.FILE\n    version_file: str = SI(\"${.module}/__init__.py\")\n\n\n@dataclass\nclass Config:\n    dry_run: bool = False\n    action: Action = Action.check\n    packages: Dict[str, Package] = MISSING\n    build_targets: Tuple[str, ...] = (\"--sdist\", \"--wheel\")\n    build_dir: str = \"build\"\n\n\nConfigStore.instance().store(name=\"config_schema\", node=Config)\n\n\n@lru_cache()\ndef get_metadata(package_name: str) -> DictConfig:\n    url = f\"https://pypi.org/pypi/{package_name}/json\"\n    with requests.get(url, timeout=10) as response:\n        ret = OmegaConf.create(response.content.decode(\"utf-8\"))\n    response.close()\n    assert isinstance(ret, DictConfig)\n    return ret\n\n\ndef get_releases(metadata: DictConfig) -> List[Version]:\n    ret: List[Version] = []\n    for ver, files in metadata.releases.items():\n        for file in files:\n            if file.packagetype == \"bdist_wheel\" and file.yanked is not True:\n                v = parse_version(ver)\n                ret.append(v)\n    return sorted(ret)\n\n\n@dataclass\nclass PackageInfo:\n    name: str\n    local_version: Version\n    latest_version: Version\n\n\ndef parse_version(ver: str) -> Version:\n    v = parse(ver)\n    assert isinstance(v, Version)\n    return v", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/release/release.py__next_version__next_version.return.str_new_version_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/release/release.py__next_version__next_version.return.str_new_version_", "embedding": null, "metadata": {"file_path": "tools/release/release.py", "file_name": "release.py", "file_type": "text/x-python", "category": "implementation", "start_line": 124, "end_line": 145, "span_ids": ["_next_version"], "tokens": 205}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _next_version(version: str) -> str:\n    cur = parse(version)\n    assert isinstance(cur, Version)\n    if cur.is_devrelease:\n        prefix = \"dev\"\n        assert cur.dev is not None\n        num = cur.dev + 1\n        new_version = f\"{cur.major}.{cur.minor}.{cur.micro}.{prefix}{num}\"\n    elif cur.is_prerelease:\n        assert cur.pre is not None\n        prefix = cur.pre[0]\n        num = cur.pre[1] + 1\n        new_version = f\"{cur.major}.{cur.minor}.{cur.micro}.{prefix}{num}\"\n    elif cur.is_postrelease:\n        assert cur.post is not None\n        num = cur.post + 1\n        new_version = f\"{cur.major}.{cur.minor}.{cur.micro}.{num}\"\n    else:\n        micro = cur.micro + 1\n        new_version = f\"{cur.major}.{cur.minor}.{micro}\"\n\n    return str(new_version)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/release/release.py_bump_version_in_file_bump_version_in_file.if_matches_.else_.raise_ValueError_f_Could_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/release/release.py_bump_version_in_file_bump_version_in_file.if_matches_.else_.raise_ValueError_f_Could_", "embedding": null, "metadata": {"file_path": "tools/release/release.py", "file_name": "release.py", "file_type": "text/x-python", "category": "implementation", "start_line": 145, "end_line": 160, "span_ids": ["bump_version_in_file"], "tokens": 188}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def bump_version_in_file(cfg: Config, name: str, ver_file: Path) -> None:\n    loaded = ver_file.read_text(\"utf-8\")\n    # https://regex101.com/r/DoxaSI/1\n    regex = r\"((?:__)?version(?:__)?\\s*=\\s*)((?:\\\"|\\')(.*?)(?:\\\"|\\'))\"\n\n    matches = re.search(regex, loaded)\n\n    if matches:\n        new_version = _next_version(matches.group(3))\n        log.info(f\"Bumping version of {name} from {matches.group(2)} to {new_version}\")\n        subst = f'{matches.group(1)}\"{new_version}\"'\n        result = re.sub(regex, subst, loaded, 0)\n        if not cfg.dry_run:\n            ver_file.write_text(result)\n    else:\n        raise ValueError(f\"Could not find version in {ver_file}\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/release/release.py_main_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/release/release.py_main_", "embedding": null, "metadata": {"file_path": "tools/release/release.py", "file_name": "release.py", "file_type": "text/x-python", "category": "implementation", "start_line": 180, "end_line": 222, "span_ids": ["impl:5", "main"], "tokens": 423}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef main(cfg: Config) -> None:\n    hydra_root = find_parent_dir_containing(target=\"ATTRIBUTION\")\n    build_dir = f\"{os.getcwd()}/{cfg.build_dir}\"\n    Path(build_dir).mkdir(parents=True)\n    log.info(f\"Build outputs : {build_dir}\")\n    if cfg.action == Action.check:\n        log.info(\"Checking for unpublished packages\")\n        for package in cfg.packages.values():\n            pkg_path = os.path.normpath(os.path.join(hydra_root, package.path))\n            ret = get_package_info(pkg_path)\n            if ret.local_version == ret.latest_version:\n                log.info(f\"\\U0000274a : {ret.name} : match ({ret.latest_version})\")\n            elif ret.local_version > ret.latest_version:\n                log.info(\n                    f\"\\U0000274b : {ret.name} : newer (local={ret.local_version} > latest={ret.latest_version})\"\n                )\n            else:\n                log.info(\n                    f\"\\U0000274c : {ret.name} : older (local={ret.local_version} < latest={ret.latest_version})\"\n                )\n    elif cfg.action == Action.build:\n        log.info(\"Building unpublished packages\")\n        for package in cfg.packages.values():\n            pkg_path = os.path.normpath(os.path.join(hydra_root, package.path))\n            ret = get_package_info(pkg_path)\n            if ret.local_version > ret.latest_version:\n                build_package(cfg, pkg_path, build_dir)\n    elif cfg.action == Action.bump:\n        log.info(\"Bumping version of published packages\")\n        for package in cfg.packages.values():\n            pkg_path = os.path.normpath(os.path.join(hydra_root, package.path))\n            ret = get_package_info(pkg_path)\n            if ret.local_version == ret.latest_version:\n                bump_version(cfg, package, hydra_root)\n\n    else:\n        raise ValueError(\"Unexpected action type\")\n\n\nif __name__ == \"__main__\":\n    main()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/config_search_path/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/config_search_path/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/advanced/config_search_path/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/config_search_path/additonal_conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/config_search_path/additonal_conf/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/advanced/config_search_path/additonal_conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/config_search_path/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/config_search_path/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/advanced/config_search_path/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 81}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/defaults_list_interpolation/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/defaults_list_interpolation/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/advanced/defaults_list_interpolation/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 81}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/nested_defaults_list/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/advanced/nested_defaults_list/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/advanced/nested_defaults_list/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 81}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/configure_hydra/job_override_dirname/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/configure_hydra/job_override_dirname/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/configure_hydra/job_override_dirname/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 16, "span_ids": ["my_app", "impl", "docstring"], "tokens": 84}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nimport os\n\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(_cfg: DictConfig) -> None:\n    print(f\"Working dir {os.getcwd()}\")\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/instantiate/docs_example/my_app.py_from_omegaconf_import_Dic_Trainer.__repr__.return.f_Trainer_n_optimizer_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/instantiate/docs_example/my_app.py_from_omegaconf_import_Dic_Trainer.__repr__.return.f_Trainer_n_optimizer_", "embedding": null, "metadata": {"file_path": "examples/instantiate/docs_example/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 39, "span_ids": ["Optimizer.__repr__", "Optimizer", "Dataset", "Trainer.__repr__", "Dataset.__init__", "Dataset.__repr__", "Optimizer.__init__", "Trainer", "Trainer.__init__", "docstring"], "tokens": 228}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from omegaconf import DictConfig\n\nimport hydra\nfrom hydra.utils import instantiate\n\n\nclass Optimizer:\n    algo: str\n    lr: float\n\n    def __init__(self, algo: str, lr: float) -> None:\n        self.algo = algo\n        self.lr = lr\n\n    def __repr__(self) -> str:\n        return f\"Optimizer(algo={self.algo},lr={self.lr})\"\n\n\nclass Dataset:\n    name: str\n    path: str\n\n    def __init__(self, name: str, path: str) -> None:\n        self.name = name\n        self.path = path\n\n    def __repr__(self) -> str:\n        return f\"Dataset(name={self.name}, path={self.path})\"\n\n\nclass Trainer:\n    def __init__(self, optimizer: Optimizer, dataset: Dataset) -> None:\n        self.optimizer = optimizer\n        self.dataset = dataset\n\n    def __repr__(self) -> str:\n        return f\"Trainer(\\n  optimizer={self.optimizer},\\n  dataset={self.dataset}\\n)\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/instantiate/docs_example/my_app.py_my_app_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/instantiate/docs_example/my_app.py_my_app_", "embedding": null, "metadata": {"file_path": "examples/instantiate/docs_example/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 42, "end_line": 84, "span_ids": ["impl", "my_app"], "tokens": 365}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    optimizer = instantiate(cfg.trainer.optimizer)\n    print(optimizer)\n    # Optimizer(algo=SGD,lr=0.01)\n\n    # override parameters on the call-site\n    optimizer = instantiate(cfg.trainer.optimizer, lr=0.2)\n    print(optimizer)\n    # Optimizer(algo=SGD,lr=0.2)\n\n    # recursive instantiation\n    trainer = instantiate(cfg.trainer)\n    print(trainer)\n    # Trainer(\n    #   optimizer=Optimizer(algo=SGD,lr=0.01),\n    #   dataset=Dataset(name=Imagenet, path=/datasets/imagenet)\n    # )\n\n    # override nested parameters from the call-site\n    trainer = instantiate(\n        cfg.trainer,\n        optimizer={\"lr\": 0.3},\n        dataset={\"name\": \"cifar10\", \"path\": \"/datasets/cifar10\"},\n    )\n    print(trainer)\n    # Trainer(\n    #   optimizer=Optimizer(algo=SGD,lr=0.3),\n    #   dataset=Dataset(name=cifar10, path=/datasets/cifar10)\n    # )\n\n    # non recursive instantiation\n    trainer = instantiate(cfg.trainer, _recursive_=False)\n    print(trainer)\n    # Trainer(\n    #     optimizer={'_target_': 'my_app.Optimizer', 'algo': 'SGD', 'lr': 0.01},\n    #     dataset={'_target_': 'my_app.Dataset', 'name': 'Imagenet', 'path': '/datasets/imagenet'}\n    # )\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/instantiate/object/my_app.py_from_omegaconf_import_Dic_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/instantiate/object/my_app.py_from_omegaconf_import_Dic_", "embedding": null, "metadata": {"file_path": "examples/instantiate/object/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 42, "span_ids": ["MySQLConnection.__init__", "PostgreSQLConnection.connect", "MySQLConnection", "my_app", "impl", "PostgreSQLConnection", "DBConnection.connect", "DBConnection", "docstring", "MySQLConnection.connect", "PostgreSQLConnection.__init__"], "tokens": 228}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from omegaconf import DictConfig\n\nimport hydra\nfrom hydra.utils import instantiate\n\n\nclass DBConnection:\n    def connect(self) -> None:\n        ...\n\n\nclass MySQLConnection(DBConnection):\n    def __init__(self, host: str, user: str, password: str) -> None:\n        self.host = host\n        self.user = user\n        self.password = password\n\n    def connect(self) -> None:\n        print(f\"MySQL connecting to {self.host}\")\n\n\nclass PostgreSQLConnection(DBConnection):\n    def __init__(self, host: str, user: str, password: str, database: str) -> None:\n        self.host = host\n        self.user = user\n        self.password = password\n        self.database = database\n\n    def connect(self) -> None:\n        print(f\"PostgreSQL connecting to {self.host}\")\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    connection = instantiate(cfg.db)\n    connection.connect()\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/instantiate/object_recursive/my_app.py_from_typing_import_List_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/instantiate/object_recursive/my_app.py_from_typing_import_List_", "embedding": null, "metadata": {"file_path": "examples/instantiate/object_recursive/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 39, "span_ids": ["impl", "my_app", "Driver.__init__", "Driver", "Car", "Car.drive", "Car.__init__", "Wheel.__init__", "docstring", "Wheel"], "tokens": 202}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import List\n\nfrom omegaconf import DictConfig\n\nimport hydra\nfrom hydra.utils import instantiate\n\n\nclass Driver:\n    def __init__(self, name: str, age: int) -> None:\n        self.name = name\n        self.age = age\n\n\nclass Wheel:\n    def __init__(self, radius: int, width: int) -> None:\n        self.radius = radius\n        self.width = width\n\n\nclass Car:\n    def __init__(self, driver: Driver, wheels: List[Wheel]):\n        self.driver = driver\n        self.wheels = wheels\n\n    def drive(self) -> None:\n        print(f\"Driver : {self.driver.name}, {len(self.wheels)} wheels\")\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    car: Car = instantiate(cfg.car)\n    car.drive()\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/instantiate/schema/my_app.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/instantiate/schema/my_app.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "examples/instantiate/schema/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 80, "span_ids": ["MySQLConnection.__init__", "impl", "MySQLConnection", "DBConfig", "DBConnection.__init__", "PostGreSQLConfig", "Config", "my_app", "PostgreSQLConnection", "DBConnection.connect", "DBConnection", "MySQLConfig", "docstring", "impl:6", "PostgreSQLConnection.__init__"], "tokens": 471}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass, field\nfrom typing import Any, List\n\nfrom omegaconf import MISSING\n\nimport hydra\nfrom hydra.core.config_store import ConfigStore\nfrom hydra.utils import instantiate\n\n\nclass DBConnection:\n    def __init__(self, driver: str, host: str, port: int) -> None:\n        self.driver = driver\n        self.host = host\n        self.port = port\n\n    def connect(self) -> None:\n        print(f\"{self.driver} connecting to {self.host}\")\n\n\nclass MySQLConnection(DBConnection):\n    def __init__(self, driver: str, host: str, port: int) -> None:\n        super().__init__(driver=driver, host=host, port=port)\n\n\nclass PostgreSQLConnection(DBConnection):\n    def __init__(self, driver: str, host: str, port: int, timeout: int) -> None:\n        super().__init__(driver=driver, host=host, port=port)\n        self.timeout = timeout\n\n\n@dataclass\nclass DBConfig:\n    driver: str = MISSING\n    host: str = \"localhost\"\n    port: int = 80\n\n\n@dataclass\nclass MySQLConfig(DBConfig):\n    _target_: str = \"my_app.MySQLConnection\"\n    driver: str = \"MySQL\"\n    port: int = 1234\n\n\n@dataclass\nclass PostGreSQLConfig(DBConfig):\n    _target_: str = \"my_app.PostgreSQLConnection\"\n    driver: str = \"PostgreSQL\"\n    port: int = 5678\n    timeout: int = 10\n\n\n@dataclass\nclass Config:\n    defaults: List[Any] = field(\n        default_factory=lambda: [\n            \"_self_\",\n            {\"db\": \"mysql\"},\n        ]\n    )\n    db: DBConfig = MISSING\n\n\ncs = ConfigStore.instance()\ncs.store(name=\"config\", node=Config)\ncs.store(group=\"db\", name=\"mysql\", node=MySQLConfig)\ncs.store(group=\"db\", name=\"postgresql\", node=PostGreSQLConfig)\n\n\n@hydra.main(version_base=None, config_name=\"config\")\ndef my_app(cfg: Config) -> None:\n    connection = instantiate(cfg.db)\n    connection.connect()\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/instantiate/schema_recursive/my_app.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/instantiate/schema_recursive/my_app.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "examples/instantiate/schema_recursive/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 57, "span_ids": ["impl:4", "impl", "my_app", "Config", "pretty_print", "Tree.__init__", "docstring", "TreeConf", "Tree"], "tokens": 346}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\nfrom typing import Optional\n\nfrom omegaconf import MISSING\n\nimport hydra\nfrom hydra.core.config_store import ConfigStore\nfrom hydra.utils import instantiate\n\n\nclass Tree:\n    def __init__(\n        self, value: int, left: Optional[\"Tree\"] = None, right: Optional[\"Tree\"] = None\n    ) -> None:\n        self.value = value\n        self.left = left\n        self.right = right\n\n\n@dataclass\nclass TreeConf:\n    _target_: str = \"my_app.Tree\"\n    value: int = MISSING\n    left: Optional[\"TreeConf\"] = None\n    right: Optional[\"TreeConf\"] = None\n\n\n# we will populate the tree from the config file with the matching name\n@dataclass\nclass Config:\n    tree: TreeConf = MISSING\n\n\ncs = ConfigStore.instance()\ncs.store(name=\"config_schema\", node=Config)\n\n\n# pretty print utility\ndef pretty_print(tree: Tree, name: str = \"root\", depth: int = 0) -> None:\n    pad = \" \" * depth * 2\n    print(f\"{pad}{name}({tree.value})\")\n    if tree.left is not None:\n        pretty_print(tree.left, name=\"left\", depth=depth + 1)\n    if tree.right is not None:\n        pretty_print(tree.right, name=\"right\", depth=depth + 1)\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: Config) -> None:\n    tree: Tree = instantiate(cfg.tree)\n    pretty_print(tree)\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/patterns/configuring_experiments/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/patterns/configuring_experiments/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/patterns/configuring_experiments/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 81}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/patterns/extending_configs/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/patterns/extending_configs/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/patterns/extending_configs/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 81}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/patterns/multi-select/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/patterns/multi-select/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/patterns/multi-select/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 81}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_configsource_plugin/hydra_plugins/example_configsource_plugin/example_configsource_plugin.py_from_typing_import_Any_D_ConfigSourceExample.scheme.return._example_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_configsource_plugin/hydra_plugins/example_configsource_plugin/example_configsource_plugin.py_from_typing_import_Any_D_ConfigSourceExample.scheme.return._example_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_configsource_plugin/hydra_plugins/example_configsource_plugin/example_configsource_plugin.py", "file_name": "example_configsource_plugin.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 55, "span_ids": ["ConfigSourceExample.scheme", "ConfigSourceExample", "ConfigSourceExample.__init__", "docstring"], "tokens": 595}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Any, Dict, List, Optional\n\nfrom hydra.core.object_type import ObjectType\nfrom hydra.plugins.config_source import ConfigLoadError, ConfigResult, ConfigSource\nfrom omegaconf import OmegaConf\n\n\nclass ConfigSourceExample(ConfigSource):\n    def __init__(self, provider: str, path: str):\n        super().__init__(provider=provider, path=path)\n        self.headers: Dict[str, Dict[str, str]] = {\n            \"package_test/explicit.yaml\": {\"package\": \"a.b\"},\n            \"package_test/global.yaml\": {\"package\": \"_global_\"},\n            \"package_test/group.yaml\": {\"package\": \"_group_\"},\n            \"package_test/group_name.yaml\": {\"package\": \"foo._group_._name_\"},\n            \"package_test/name.yaml\": {\"package\": \"_name_\"},\n            \"package_test/none.yaml\": {},\n            \"primary_config_with_non_global_package.yaml\": {\"package\": \"foo\"},\n            \"configs_with_defaults_list.yaml\": {\"package\": \"_global_\"},\n            \"configs_with_defaults_list/global_package.yaml\": {\"package\": \"_global_\"},\n            \"configs_with_defaults_list/group_package.yaml\": {\"package\": \"_group_\"},\n        }\n        self.configs: Dict[str, Dict[str, Any]] = {\n            \"primary_config.yaml\": {\"primary\": True},\n            \"primary_config_with_non_global_package.yaml\": {\"primary\": True},\n            \"config_without_group.yaml\": {\"group\": False},\n            \"config_with_unicode.yaml\": {\"group\": \"\u6570\u636e\u5e93\"},\n            \"dataset/imagenet.yaml\": {\"name\": \"imagenet\", \"path\": \"/datasets/imagenet\"},\n            \"dataset/cifar10.yaml\": {\"name\": \"cifar10\", \"path\": \"/datasets/cifar10\"},\n            \"level1/level2/nested1.yaml\": {\"l1_l2_n1\": True},\n            \"level1/level2/nested2.yaml\": {\"l1_l2_n2\": True},\n            \"package_test/explicit.yaml\": {\"foo\": \"bar\"},\n            \"package_test/global.yaml\": {\"foo\": \"bar\"},\n            \"package_test/group.yaml\": {\"foo\": \"bar\"},\n            \"package_test/group_name.yaml\": {\"foo\": \"bar\"},\n            \"package_test/name.yaml\": {\"foo\": \"bar\"},\n            \"package_test/none.yaml\": {\"foo\": \"bar\"},\n            \"config_with_defaults_list.yaml\": {\n                \"defaults\": [{\"dataset\": \"imagenet\"}],\n                \"key\": \"value\",\n            },\n            \"configs_with_defaults_list/global_package.yaml\": {\n                \"defaults\": [{\"foo\": \"bar\"}],\n                \"x\": 10,\n            },\n            \"configs_with_defaults_list/group_package.yaml\": {\n                \"defaults\": [{\"foo\": \"bar\"}],\n                \"x\": 10,\n            },\n        }\n\n    @staticmethod\n    def scheme() -> str:\n        return \"example\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/tests/test_example_sweeper_plugin.py_test_launched_jobs_TestExampleSweeper._": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/tests/test_example_sweeper_plugin.py_test_launched_jobs_TestExampleSweeper._", "embedding": null, "metadata": {"file_path": "examples/plugins/example_sweeper_plugin/tests/test_example_sweeper_plugin.py", "file_name": "test_example_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 23, "end_line": 56, "span_ids": ["TestExampleSweeper", "test_launched_jobs"], "tokens": 271}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_launched_jobs(hydra_sweep_runner: TSweepRunner) -> None:\n    sweep = hydra_sweep_runner(\n        calling_file=None,\n        calling_module=\"hydra.test_utils.a_module\",\n        config_path=\"configs\",\n        config_name=\"compose.yaml\",\n        task_function=None,\n        overrides=[\"hydra/sweeper=example\", \"hydra/launcher=basic\", \"foo=1,2\"],\n    )\n    with sweep:\n        assert sweep.returns is not None\n        job_ret = sweep.returns[0]\n        assert len(job_ret) == 2\n        assert job_ret[0].overrides == [\"foo=1\"]\n        assert job_ret[0].cfg == {\"foo\": 1, \"bar\": 100}\n        assert job_ret[1].overrides == [\"foo=2\"]\n        assert job_ret[1].cfg == {\"foo\": 2, \"bar\": 100}\n\n\n# Run launcher test suite with the basic launcher and this sweeper\n@mark.parametrize(\n    \"launcher_name, overrides\",\n    [\n        (\n            \"basic\",\n            [\n                # CHANGE THIS TO YOUR SWEEPER CONFIG NAME\n                \"hydra/sweeper=example\"\n            ],\n        )\n    ],\n)\nclass TestExampleSweeper(LauncherTestSuite):\n    ...", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/tests/test_example_sweeper_plugin.py__Many_sweepers_are_batch_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/tests/test_example_sweeper_plugin.py__Many_sweepers_are_batch_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_sweeper_plugin/tests/test_example_sweeper_plugin.py", "file_name": "test_example_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 59, "end_line": 97, "span_ids": ["TestExampleSweeper", "TestExampleSweeperWithBatching", "TestExampleSweeperIntegration"], "tokens": 242}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Many sweepers are batching jobs in groups.\n# This test suite verifies that the spawned jobs are not overstepping the directories of one another.\n@mark.parametrize(\n    \"launcher_name, overrides\",\n    [\n        (\n            \"basic\",\n            [\n                # CHANGE THIS TO YOUR SWEEPER CONFIG NAME\n                \"hydra/sweeper=example\",\n                # This will cause the sweeper to split batches to at most 2 jobs each, which is what\n                # the tests in BatchedSweeperTestSuite are expecting.\n                \"hydra.sweeper.max_batch_size=2\",\n            ],\n        )\n    ],\n)\nclass TestExampleSweeperWithBatching(BatchedSweeperTestSuite):\n    ...\n\n\n# Run integration test suite with the basic launcher and this sweeper\n@mark.parametrize(\n    \"task_launcher_cfg, extra_flags\",\n    [\n        (\n            {},\n            [\n                \"-m\",\n                # CHANGE THIS TO YOUR SWEEPER CONFIG NAME\n                \"hydra/sweeper=example\",\n                \"hydra/launcher=basic\",\n            ],\n        )\n    ],\n)\nclass TestExampleSweeperIntegration(IntegrationTestSuite):\n    pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/your_first_hydra_app/3_using_config/my_app.py_from_omegaconf_import_Dic_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/your_first_hydra_app/3_using_config/my_app.py_from_omegaconf_import_Dic_", "embedding": null, "metadata": {"file_path": "examples/tutorials/basic/your_first_hydra_app/3_using_config/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 36, "span_ids": ["my_app", "impl", "docstring"], "tokens": 291}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from omegaconf import DictConfig, MissingMandatoryValue, open_dict\nfrom pytest import raises\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    assert cfg.node.loompa == 10  # attribute style access\n    assert cfg[\"node\"][\"loompa\"] == 10  # dictionary style access\n    assert cfg.node.zippity == 10  # Variable interpolation\n    assert isinstance(cfg.node.zippity, int)  # Variable interpolation inherits the type\n    assert cfg.node.do == \"oompa 10\"  # string interpolation\n\n    # Accessing a field that is not in the config results in an exception:\n    with raises(AttributeError):\n        cfg.new_field = 10\n\n    # you can enable config field addition in a context with open_dict:\n    with open_dict(cfg):\n        cfg.new_field = 10\n    assert cfg.new_field == 10\n\n    # You can check if a field is present in the config:\n    assert \"new_field\" in cfg  # dictionary style\n    assert hasattr(cfg, \"new_field\")  # attribute style\n\n    # Accessing a field marked as missing ('???') raises in an exception\n    with raises(MissingMandatoryValue):\n        cfg.node.waldo\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/your_first_hydra_app/4_config_groups/conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/your_first_hydra_app/4_config_groups/conf/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/tutorials/basic/your_first_hydra_app/4_config_groups/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/your_first_hydra_app/5_defaults/conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/your_first_hydra_app/5_defaults/conf/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/tutorials/basic/your_first_hydra_app/5_defaults/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/your_first_hydra_app/6_composition/conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/your_first_hydra_app/6_composition/conf/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/tutorials/basic/your_first_hydra_app/6_composition/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/5.1_structured_config_schema_same_config_group/conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/5.1_structured_config_schema_same_config_group/conf/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/tutorials/structured_configs/5.1_structured_config_schema_same_config_group/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/5.1_structured_config_schema_same_config_group/my_app.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/5.1_structured_config_schema_same_config_group/my_app.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "examples/tutorials/structured_configs/5.1_structured_config_schema_same_config_group/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 53, "span_ids": ["impl", "my_app", "Config", "docstring", "MySQLConfig", "DBConfig", "impl:6", "PostGreSQLConfig"], "tokens": 275}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\n\nfrom omegaconf import MISSING, OmegaConf\n\nimport hydra\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass\nclass DBConfig:\n    driver: str = MISSING\n    host: str = \"localhost\"\n    port: int = MISSING\n\n\n@dataclass\nclass MySQLConfig(DBConfig):\n    driver: str = \"mysql\"\n    port: int = 3306\n    user: str = MISSING\n    password: str = MISSING\n\n\n@dataclass\nclass PostGreSQLConfig(DBConfig):\n    driver: str = \"postgresql\"\n    user: str = MISSING\n    port: int = 5432\n    password: str = MISSING\n    timeout: int = 10\n\n\n@dataclass\nclass Config:\n    db: DBConfig = MISSING\n    debug: bool = False\n\n\ncs = ConfigStore.instance()\ncs.store(name=\"base_config\", node=Config)\ncs.store(group=\"db\", name=\"base_mysql\", node=MySQLConfig)\ncs.store(group=\"db\", name=\"base_postgresql\", node=PostGreSQLConfig)\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: Config) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/5.2_structured_config_schema_different_config_group/conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/5.2_structured_config_schema_different_config_group/conf/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/tutorials/structured_configs/5.2_structured_config_schema_different_config_group/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/5.2_structured_config_schema_different_config_group/database_lib.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/5.2_structured_config_schema_different_config_group/database_lib.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "examples/tutorials/structured_configs/5.2_structured_config_schema_different_config_group/database_lib.py", "file_name": "database_lib.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 45, "span_ids": ["docstring", "MySQLConfig", "register_configs", "DBConfig", "PostGreSQLConfig"], "tokens": 209}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\n\nfrom omegaconf import MISSING\n\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass\nclass DBConfig:\n    driver: str = MISSING\n    host: str = \"localhost\"\n    port: int = MISSING\n\n\n@dataclass\nclass MySQLConfig(DBConfig):\n    driver: str = \"mysql\"\n    port: int = 3306\n    user: str = MISSING\n    password: str = MISSING\n\n\n@dataclass\nclass PostGreSQLConfig(DBConfig):\n    driver: str = \"postgresql\"\n    user: str = MISSING\n    port: int = 5432\n    password: str = MISSING\n    timeout: int = 10\n\n\ndef register_configs() -> None:\n    cs = ConfigStore.instance()\n    cs.store(\n        group=\"database_lib/db\",\n        name=\"mysql\",\n        node=MySQLConfig,\n    )\n    cs.store(\n        group=\"database_lib/db\",\n        name=\"postgresql\",\n        node=PostGreSQLConfig,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/5.2_structured_config_schema_different_config_group/my_app.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/structured_configs/5.2_structured_config_schema_different_config_group/my_app.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "examples/tutorials/structured_configs/5.2_structured_config_schema_different_config_group/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 36, "span_ids": ["impl", "my_app", "Config", "impl:5", "docstring"], "tokens": 147}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\n\nimport database_lib\nfrom omegaconf import MISSING, OmegaConf\n\nimport hydra\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass\nclass Config:\n    db: database_lib.DBConfig = MISSING\n    debug: bool = False\n\n\ncs = ConfigStore.instance()\ncs.store(name=\"base_config\", node=Config)\n\n# database_lib registers its configs\n# in database_lib/db\ndatabase_lib.register_configs()\n\n\n@hydra.main(\n    version_base=None,\n    config_path=\"conf\",\n    config_name=\"config\",\n)\ndef my_app(cfg: Config) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/__init__.py___version___": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/__init__.py___version___", "embedding": null, "metadata": {"file_path": "hydra/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 4, "end_line": 24, "span_ids": ["docstring"], "tokens": 113}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "__version__ = \"1.3.0.dev0\"\nfrom hydra import utils\nfrom hydra.errors import MissingConfigException\nfrom hydra.main import main\nfrom hydra.types import TaskFunction\n\nfrom .compose import compose\nfrom .initialize import initialize, initialize_config_dir, initialize_config_module\n\n__all__ = [\n    \"__version__\",\n    \"MissingConfigException\",\n    \"main\",\n    \"utils\",\n    \"TaskFunction\",\n    \"compose\",\n    \"initialize\",\n    \"initialize_config_module\",\n    \"initialize_config_dir\",\n]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl_ConfigLoaderImpl.validate_sweep_overrides_legal.for_x_in_overrides_.if_x_is_sweep_override_.if_run_mode_RunMode_MU.else_.assert_False": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl_ConfigLoaderImpl.validate_sweep_overrides_legal.for_x_in_overrides_.if_x_is_sweep_override_.if_run_mode_RunMode_MU.else_.assert_False", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_loader_impl.py", "file_name": "config_loader_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 45, "end_line": 91, "span_ids": ["ConfigLoaderImpl", "ConfigLoaderImpl.validate_sweep_overrides_legal", "ConfigLoaderImpl.__init__"], "tokens": 343}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigLoaderImpl(ConfigLoader):\n    \"\"\"\n    Configuration loader\n    \"\"\"\n\n    def __init__(\n        self,\n        config_search_path: ConfigSearchPath,\n    ) -> None:\n        self.config_search_path = config_search_path\n        self.repository = ConfigRepository(config_search_path=config_search_path)\n\n    @staticmethod\n    def validate_sweep_overrides_legal(\n        overrides: List[Override],\n        run_mode: RunMode,\n        from_shell: bool,\n    ) -> None:\n        for x in overrides:\n            if x.is_sweep_override():\n                if run_mode == RunMode.MULTIRUN:\n                    if x.is_hydra_override():\n                        raise ConfigCompositionException(\n                            f\"Sweeping over Hydra's configuration is not supported : '{x.input_line}'\"\n                        )\n                elif run_mode == RunMode.RUN:\n                    if x.value_type == ValueType.SIMPLE_CHOICE_SWEEP:\n                        vals = \"value1,value2\"\n                        if from_shell:\n                            example_override = f\"key=\\\\'{vals}\\\\'\"\n                        else:\n                            example_override = f\"key='{vals}'\"\n\n                        msg = dedent(\n                            f\"\"\"\\\n                            Ambiguous value for argument '{x.input_line}'\n                            1. To use it as a list, use key=[value1,value2]\n                            2. To use it as string, quote the value: {example_override}\n                            3. To sweep over it, add --multirun to your command line\"\"\"\n                        )\n                        raise ConfigCompositionException(msg)\n                    else:\n                        raise ConfigCompositionException(\n                            f\"Sweep parameters '{x.input_line}' requires --multirun\"\n                        )\n                else:\n                    assert False", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl._missing_config_error_ConfigLoaderImpl._missing_config_error.raise_MissingConfigExcept": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl._missing_config_error_ConfigLoaderImpl._missing_config_error.raise_MissingConfigExcept", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_loader_impl.py", "file_name": "config_loader_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 93, "end_line": 110, "span_ids": ["ConfigLoaderImpl._missing_config_error"], "tokens": 140}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigLoaderImpl(ConfigLoader):\n\n    def _missing_config_error(\n        self, config_name: Optional[str], msg: str, with_search_path: bool\n    ) -> None:\n        def add_search_path() -> str:\n            descs = []\n            for src in self.repository.get_sources():\n                if src.provider != \"schema\":\n                    descs.append(f\"\\t{repr(src)}\")\n            lines = \"\\n\".join(descs)\n\n            if with_search_path:\n                return msg + \"\\nSearch path:\" + f\"\\n{lines}\"\n            else:\n                return msg\n\n        raise MissingConfigException(\n            missing_cfg_file=config_name, message=add_search_path()\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl.ensure_main_config_source_available_ConfigLoaderImpl.ensure_main_config_source_available.for_source_in_self_get_so.if_source_provider_ma.if_not_source_available_.self__missing_config_erro": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl.ensure_main_config_source_available_ConfigLoaderImpl.ensure_main_config_source_available.for_source_in_self_get_so.if_source_provider_ma.if_not_source_available_.self__missing_config_erro", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_loader_impl.py", "file_name": "config_loader_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 112, "end_line": 136, "span_ids": ["ConfigLoaderImpl.ensure_main_config_source_available"], "tokens": 199}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigLoaderImpl(ConfigLoader):\n\n    def ensure_main_config_source_available(self) -> None:\n        for source in self.get_sources():\n            # if specified, make sure main config search path exists\n            if source.provider == \"main\":\n                if not source.available():\n                    if source.scheme() == \"pkg\":\n                        if source.path == \"\":\n                            msg = (\n                                \"Primary config module is empty.\"\n                                \"\\nPython requires resources to be in a module with an __init__.py file\"\n                            )\n                        else:\n                            msg = (\n                                f\"Primary config module '{source.path}' not found.\"\n                                f\"\\nCheck that it's correct and contains an __init__.py file\"\n                            )\n                    else:\n                        msg = (\n                            f\"Primary config directory not found.\"\n                            f\"\\nCheck that the config directory '{source.path}' exists and readable\"\n                        )\n\n                    self._missing_config_error(\n                        config_name=None, msg=msg, with_search_path=False\n                    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl._process_config_searchpath_ConfigLoaderImpl._process_config_searchpath.for_source_in_repo_get_so.if_not_source_available_.warnings_warn_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl._process_config_searchpath_ConfigLoaderImpl._process_config_searchpath.for_source_in_repo_get_so.if_not_source_available_.warnings_warn_", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_loader_impl.py", "file_name": "config_loader_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 150, "end_line": 216, "span_ids": ["ConfigLoaderImpl._process_config_searchpath"], "tokens": 488}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigLoaderImpl(ConfigLoader):\n\n    def _process_config_searchpath(\n        self,\n        config_name: Optional[str],\n        parsed_overrides: List[Override],\n        repo: CachingConfigRepository,\n    ) -> None:\n        if config_name is not None:\n            loaded = repo.load_config(config_path=config_name)\n            primary_config: Container\n            if loaded is None:\n                primary_config = OmegaConf.create()\n            else:\n                primary_config = loaded.config\n        else:\n            primary_config = OmegaConf.create()\n\n        if not OmegaConf.is_dict(primary_config):\n            raise ConfigCompositionException(\n                f\"primary config '{config_name}' must be a DictConfig, got {type(primary_config).__name__}\"\n            )\n\n        def is_searchpath_override(v: Override) -> bool:\n            return v.get_key_element() == \"hydra.searchpath\"\n\n        override = None\n        for v in parsed_overrides:\n            if is_searchpath_override(v):\n                override = v.value()\n                break\n\n        searchpath = OmegaConf.select(primary_config, \"hydra.searchpath\")\n        if override is not None:\n            provider = \"hydra.searchpath in command-line\"\n            searchpath = override\n        else:\n            provider = \"hydra.searchpath in main\"\n\n        def _err() -> None:\n            raise ConfigCompositionException(\n                f\"hydra.searchpath must be a list of strings. Got: {searchpath}\"\n            )\n\n        if searchpath is None:\n            return\n\n        # validate hydra.searchpath.\n        # Note that we cannot rely on OmegaConf validation here because we did not yet merge with the Hydra schema node\n        if not isinstance(searchpath, MutableSequence):\n            _err()\n        for v in searchpath:\n            if not isinstance(v, str):\n                _err()\n\n        new_csp = copy.deepcopy(self.config_search_path)\n        schema = new_csp.get_path().pop(-1)\n        assert schema.provider == \"schema\"\n        for sp in searchpath:\n            new_csp.append(provider=provider, path=sp)\n        new_csp.append(\"schema\", \"structured://\")\n        repo.initialize_sources(new_csp)\n\n        for source in repo.get_sources():\n            if not source.available():\n                warnings.warn(\n                    category=UserWarning,\n                    message=f\"provider={source.provider}, path={source.path} is not available.\",\n                )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl._load_configuration_impl_ConfigLoaderImpl._load_configuration_impl.return.cfg": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl._load_configuration_impl_ConfigLoaderImpl._load_configuration_impl.return.cfg", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_loader_impl.py", "file_name": "config_loader_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 219, "end_line": 299, "span_ids": ["ConfigLoaderImpl._load_configuration_impl"], "tokens": 649}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigLoaderImpl(ConfigLoader):\n\n    def _load_configuration_impl(\n        self,\n        config_name: Optional[str],\n        overrides: List[str],\n        run_mode: RunMode,\n        from_shell: bool = True,\n        validate_sweep_overrides: bool = True,\n    ) -> DictConfig:\n        from hydra import __version__, version\n\n        self.ensure_main_config_source_available()\n        caching_repo = CachingConfigRepository(self.repository)\n\n        parser = OverridesParser.create()\n        parsed_overrides = parser.parse_overrides(overrides=overrides)\n\n        self._process_config_searchpath(config_name, parsed_overrides, caching_repo)\n\n        if validate_sweep_overrides:\n            self.validate_sweep_overrides_legal(\n                overrides=parsed_overrides, run_mode=run_mode, from_shell=from_shell\n            )\n\n        defaults_list = create_defaults_list(\n            repo=caching_repo,\n            config_name=config_name,\n            overrides_list=parsed_overrides,\n            prepend_hydra=True,\n            skip_missing=run_mode == RunMode.MULTIRUN,\n        )\n\n        config_overrides = defaults_list.config_overrides\n\n        cfg = self._compose_config_from_defaults_list(\n            defaults=defaults_list.defaults, repo=caching_repo\n        )\n\n        # Set config root to struct mode.\n        # Note that this will close any dictionaries (including dicts annotated as Dict[K, V].\n        # One must use + to add new fields to them.\n        OmegaConf.set_struct(cfg, True)\n\n        # The Hydra node should not be read-only even if the root config is read-only.\n        OmegaConf.set_readonly(cfg.hydra, False)\n\n        # Apply command line overrides after enabling strict flag\n        ConfigLoaderImpl._apply_overrides_to_config(config_overrides, cfg)\n        app_overrides = []\n        for override in parsed_overrides:\n            if override.is_hydra_override():\n                cfg.hydra.overrides.hydra.append(override.input_line)\n            else:\n                cfg.hydra.overrides.task.append(override.input_line)\n                app_overrides.append(override)\n\n        with open_dict(cfg.hydra):\n            cfg.hydra.runtime.choices.update(defaults_list.overrides.known_choices)\n            for key in cfg.hydra.job.env_copy:\n                cfg.hydra.job.env_set[key] = os.environ[key]\n\n        cfg.hydra.runtime.version = __version__\n        cfg.hydra.runtime.version_base = version.getbase()\n        cfg.hydra.runtime.cwd = os.getcwd()\n\n        cfg.hydra.runtime.config_sources = [\n            ConfigSourceInfo(path=x.path, schema=x.scheme(), provider=x.provider)\n            for x in caching_repo.get_sources()\n        ]\n\n        if \"name\" not in cfg.hydra.job:\n            cfg.hydra.job.name = JobRuntime().get(\"name\")\n\n        cfg.hydra.job.override_dirname = get_overrides_dirname(\n            overrides=app_overrides,\n            kv_sep=cfg.hydra.job.config.override_dirname.kv_sep,\n            item_sep=cfg.hydra.job.config.override_dirname.item_sep,\n            exclude_keys=cfg.hydra.job.config.override_dirname.exclude_keys,\n        )\n        cfg.hydra.job.config_name = config_name\n\n        return cfg", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl.load_sweep_config_ConfigLoaderImpl.get_search_path.return.self_config_search_path": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl.load_sweep_config_ConfigLoaderImpl.get_search_path.return.self_config_search_path", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_loader_impl.py", "file_name": "config_loader_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 301, "end_line": 325, "span_ids": ["ConfigLoaderImpl.load_sweep_config", "ConfigLoaderImpl.get_search_path"], "tokens": 223}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigLoaderImpl(ConfigLoader):\n\n    def load_sweep_config(\n        self, master_config: DictConfig, sweep_overrides: List[str]\n    ) -> DictConfig:\n        # Recreate the config for this sweep instance with the appropriate overrides\n        overrides = OmegaConf.to_container(master_config.hydra.overrides.hydra)\n        assert isinstance(overrides, list)\n        overrides = overrides + sweep_overrides\n        sweep_config = self.load_configuration(\n            config_name=master_config.hydra.job.config_name,\n            overrides=overrides,\n            run_mode=RunMode.RUN,\n        )\n\n        # Partial copy of master config cache, to ensure we get the same resolved values for timestamps\n        cache: Dict[str, Any] = defaultdict(dict, {})\n        cache_master_config = OmegaConf.get_cache(master_config)\n        for k in [\"now\"]:\n            if k in cache_master_config:\n                cache[k] = cache_master_config[k]\n        OmegaConf.set_cache(sweep_config, cache)\n\n        return sweep_config\n\n    def get_search_path(self) -> ConfigSearchPath:\n        return self.config_search_path", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl._apply_overrides_to_config_ConfigLoaderImpl._apply_overrides_to_config.for_override_in_overrides.try_.except_OmegaConfBaseExcep.raise_ConfigCompositionEx": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl._apply_overrides_to_config_ConfigLoaderImpl._apply_overrides_to_config.for_override_in_overrides.try_.except_OmegaConfBaseExcep.raise_ConfigCompositionEx", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_loader_impl.py", "file_name": "config_loader_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 326, "end_line": 387, "span_ids": ["ConfigLoaderImpl._apply_overrides_to_config"], "tokens": 547}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigLoaderImpl(ConfigLoader):\n\n    @staticmethod\n    def _apply_overrides_to_config(overrides: List[Override], cfg: DictConfig) -> None:\n        for override in overrides:\n            if override.package is not None:\n                raise ConfigCompositionException(\n                    f\"Override {override.input_line} looks like a config group override, \"\n                    f\"but config group '{override.key_or_group}' does not exist.\"\n                )\n\n            key = override.key_or_group\n            value = override.value()\n            try:\n                if override.is_delete():\n                    config_val = OmegaConf.select(cfg, key, throw_on_missing=False)\n                    if config_val is None:\n                        raise ConfigCompositionException(\n                            f\"Could not delete from config. '{override.key_or_group}' does not exist.\"\n                        )\n                    elif value is not None and value != config_val:\n                        raise ConfigCompositionException(\n                            f\"Could not delete from config.\"\n                            f\" The value of '{override.key_or_group}' is {config_val} and not {value}.\"\n                        )\n\n                    last_dot = key.rfind(\".\")\n                    with open_dict(cfg):\n                        if last_dot == -1:\n                            del cfg[key]\n                        else:\n                            node = OmegaConf.select(cfg, key[0:last_dot])\n                            del node[key[last_dot + 1 :]]\n\n                elif override.is_add():\n                    if OmegaConf.select(\n                        cfg, key, throw_on_missing=False\n                    ) is None or isinstance(value, (dict, list)):\n                        OmegaConf.update(cfg, key, value, merge=True, force_add=True)\n                    else:\n                        assert override.input_line is not None\n                        raise ConfigCompositionException(\n                            dedent(\n                                f\"\"\"\\\n                        Could not append to config. An item is already at '{override.key_or_group}'.\n                        Either remove + prefix: '{override.input_line[1:]}'\n                        Or add a second + to add or override '{override.key_or_group}': '+{override.input_line}'\n                        \"\"\"\n                            )\n                        )\n                elif override.is_force_add():\n                    OmegaConf.update(cfg, key, value, merge=True, force_add=True)\n                else:\n                    try:\n                        OmegaConf.update(cfg, key, value, merge=True)\n                    except (ConfigAttributeError, ConfigKeyError) as ex:\n                        raise ConfigCompositionException(\n                            f\"Could not override '{override.key_or_group}'.\"\n                            f\"\\nTo append to your config use +{override.input_line}\"\n                        ) from ex\n            except OmegaConfBaseException as ex:\n                raise ConfigCompositionException(\n                    f\"Error merging override {override.input_line}\"\n                ).with_traceback(sys.exc_info()[2]) from ex", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl._load_single_config_ConfigLoaderImpl._load_single_config.return.res": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl._load_single_config_ConfigLoaderImpl._load_single_config.return.res", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_loader_impl.py", "file_name": "config_loader_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 389, "end_line": 481, "span_ids": ["ConfigLoaderImpl._load_single_config"], "tokens": 690}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigLoaderImpl(ConfigLoader):\n\n    def _load_single_config(\n        self, default: ResultDefault, repo: IConfigRepository\n    ) -> ConfigResult:\n        config_path = default.config_path\n\n        assert config_path is not None\n        ret = repo.load_config(config_path=config_path)\n        assert ret is not None\n\n        if not OmegaConf.is_config(ret.config):\n            raise ValueError(\n                f\"Config {config_path} must be an OmegaConf config, got {type(ret.config).__name__}\"\n            )\n\n        if not ret.is_schema_source:\n            schema = None\n            try:\n                schema_source = repo.get_schema_source()\n                cname = ConfigSource._normalize_file_name(filename=config_path)\n                schema = schema_source.load_config(cname)\n            except ConfigLoadError:\n                # schema not found, ignore\n                pass\n\n            if schema is not None:\n                try:\n                    url = \"https://hydra.cc/docs/next/upgrades/1.0_to_1.1/automatic_schema_matching\"\n                    if \"defaults\" in schema.config:\n                        raise ConfigCompositionException(\n                            dedent(\n                                f\"\"\"\\\n                            '{config_path}' is validated against ConfigStore schema with the same name.\n                            This behavior is deprecated in Hydra 1.1 and will be removed in Hydra 1.2.\n                            In addition, the automatically matched schema contains a defaults list.\n                            This combination is no longer supported.\n                            See {url} for migration instructions.\"\"\"\n                            )\n                        )\n                    else:\n                        deprecation_warning(\n                            dedent(\n                                f\"\"\"\\\n\n                                '{config_path}' is validated against ConfigStore schema with the same name.\n                                This behavior is deprecated in Hydra 1.1 and will be removed in Hydra 1.2.\n                                See {url} for migration instructions.\"\"\"\n                            ),\n                            stacklevel=11,\n                        )\n\n                    # if primary config has a hydra node, remove it during validation and add it back.\n                    # This allows overriding Hydra's configuration without declaring it's node\n                    # in the schema of every primary config\n                    hydra = None\n                    hydra_config_group = (\n                        default.config_path is not None\n                        and default.config_path.startswith(\"hydra/\")\n                    )\n                    config = ret.config\n                    if (\n                        default.primary\n                        and isinstance(config, DictConfig)\n                        and \"hydra\" in config\n                        and not hydra_config_group\n                    ):\n                        hydra = config.pop(\"hydra\")\n\n                    merged = OmegaConf.merge(schema.config, config)\n                    assert isinstance(merged, DictConfig)\n\n                    if hydra is not None:\n                        with open_dict(merged):\n                            merged.hydra = hydra\n                    ret.config = merged\n                except OmegaConfBaseException as e:\n                    raise ConfigCompositionException(\n                        f\"Error merging '{config_path}' with schema\"\n                    ) from e\n\n                assert isinstance(merged, DictConfig)\n\n        res = self._embed_result_config(ret, default.package)\n        if (\n            not default.primary\n            and config_path != \"hydra/config\"\n            and isinstance(res.config, DictConfig)\n            and OmegaConf.select(res.config, \"hydra.searchpath\") is not None\n        ):\n            raise ConfigCompositionException(\n                f\"In '{config_path}': Overriding hydra.searchpath is only supported from the primary config\"\n            )\n\n        return res", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl._embed_result_config_ConfigLoaderImpl.get_group_options.return.self_repository_get_group": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl._embed_result_config_ConfigLoaderImpl.get_group_options.return.self_repository_get_group", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_loader_impl.py", "file_name": "config_loader_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 481, "end_line": 505, "span_ids": ["ConfigLoaderImpl.get_group_options", "ConfigLoaderImpl.list_groups", "ConfigLoaderImpl._embed_result_config"], "tokens": 188}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigLoaderImpl(ConfigLoader):\n\n    @staticmethod\n    def _embed_result_config(\n        ret: ConfigResult, package_override: Optional[str]\n    ) -> ConfigResult:\n        package = ret.header[\"package\"]\n        if package_override is not None:\n            package = package_override\n\n        if package is not None and package != \"\":\n            cfg = OmegaConf.create()\n            OmegaConf.update(cfg, package, ret.config, merge=False)\n            ret = copy.copy(ret)\n            ret.config = cfg\n\n        return ret\n\n    def list_groups(self, parent_name: str) -> List[str]:\n        return self.get_group_options(\n            group_name=parent_name, results_filter=ObjectType.GROUP\n        )\n\n    def get_group_options(\n        self, group_name: str, results_filter: Optional[ObjectType] = ObjectType.CONFIG\n    ) -> List[str]:\n        return self.repository.get_group_options(group_name, results_filter)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_copy_SourcesRegistry": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_copy_SourcesRegistry", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_repository.py", "file_name": "config_repository.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 25, "span_ids": ["docstring"], "tokens": 140}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import copy\nfrom abc import ABC, abstractmethod\nfrom dataclasses import dataclass\nfrom textwrap import dedent\nfrom typing import Dict, List, Optional, Tuple\n\nfrom omegaconf import (\n    Container,\n    DictConfig,\n    ListConfig,\n    Node,\n    OmegaConf,\n    open_dict,\n    read_write,\n)\n\nfrom hydra import version\nfrom hydra.core.config_search_path import ConfigSearchPath\nfrom hydra.core.object_type import ObjectType\nfrom hydra.plugins.config_source import ConfigResult, ConfigSource\n\nfrom ..core.default_element import ConfigDefault, GroupDefault, InputDefault\nfrom .deprecation_warning import deprecation_warning\nfrom .sources_registry import SourcesRegistry", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_IConfigRepository_IConfigRepository.initialize_sources._": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_IConfigRepository_IConfigRepository.initialize_sources._", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_repository.py", "file_name": "config_repository.py", "file_type": "text/x-python", "category": "implementation", "start_line": 27, "end_line": 56, "span_ids": ["IConfigRepository.get_group_options", "IConfigRepository", "IConfigRepository.get_sources", "IConfigRepository.config_exists", "IConfigRepository.initialize_sources", "IConfigRepository.load_config", "IConfigRepository.group_exists", "IConfigRepository.get_schema_source"], "tokens": 165}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class IConfigRepository(ABC):\n    @abstractmethod\n    def get_schema_source(self) -> ConfigSource:\n        ...\n\n    @abstractmethod\n    def load_config(self, config_path: str) -> Optional[ConfigResult]:\n        ...\n\n    @abstractmethod\n    def group_exists(self, config_path: str) -> bool:\n        ...\n\n    @abstractmethod\n    def config_exists(self, config_path: str) -> bool:\n        ...\n\n    @abstractmethod\n    def get_group_options(\n        self, group_name: str, results_filter: Optional[ObjectType] = ObjectType.CONFIG\n    ) -> List[str]:\n        ...\n\n    @abstractmethod\n    def get_sources(self) -> List[ConfigSource]:\n        ...\n\n    @abstractmethod\n    def initialize_sources(self, config_search_path: ConfigSearchPath) -> None:\n        ...", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_ConfigRepository_ConfigRepository.get_schema_source.return.source": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_ConfigRepository_ConfigRepository.get_schema_source.return.source", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_repository.py", "file_name": "config_repository.py", "file_type": "text/x-python", "category": "implementation", "start_line": 59, "end_line": 83, "span_ids": ["ConfigRepository.__init__", "ConfigRepository.get_schema_source", "ConfigRepository", "ConfigRepository.initialize_sources"], "tokens": 206}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigRepository(IConfigRepository):\n\n    config_search_path: ConfigSearchPath\n    sources: List[ConfigSource]\n\n    def __init__(self, config_search_path: ConfigSearchPath) -> None:\n        self.initialize_sources(config_search_path)\n\n    def initialize_sources(self, config_search_path: ConfigSearchPath) -> None:\n        self.sources = []\n        for search_path in config_search_path.get_path():\n            assert search_path.path is not None\n            assert search_path.provider is not None\n            scheme = self._get_scheme(search_path.path)\n            source_type = SourcesRegistry.instance().resolve(scheme)\n            source = source_type(search_path.provider, search_path.path)\n            self.sources.append(source)\n\n    def get_schema_source(self) -> ConfigSource:\n        source = self.sources[-1]  # should always be last\n        assert (\n            source.__class__.__name__ == \"StructuredConfigSource\"\n            and source.provider == \"schema\"\n        ), \"schema config source must be last\"\n        return source", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_ConfigRepository.group_exists_ConfigRepository._get_scheme.if_idx_1_.else_.return.path_0_idx_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_ConfigRepository.group_exists_ConfigRepository._get_scheme.if_idx_1_.else_.return.path_0_idx_", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_repository.py", "file_name": "config_repository.py", "file_type": "text/x-python", "category": "implementation", "start_line": 104, "end_line": 147, "span_ids": ["ConfigRepository.get_group_options", "ConfigRepository.group_exists", "ConfigRepository._get_scheme", "ConfigRepository.get_sources", "ConfigRepository.config_exists", "ConfigRepository._find_object_source"], "tokens": 329}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigRepository(IConfigRepository):\n\n    def group_exists(self, config_path: str) -> bool:\n        return self._find_object_source(config_path, ObjectType.GROUP) is not None\n\n    def config_exists(self, config_path: str) -> bool:\n        return self._find_object_source(config_path, ObjectType.CONFIG) is not None\n\n    def get_group_options(\n        self, group_name: str, results_filter: Optional[ObjectType] = ObjectType.CONFIG\n    ) -> List[str]:\n        options: List[str] = []\n        for source in self.sources:\n            if source.is_group(config_path=group_name):\n                options.extend(\n                    source.list(config_path=group_name, results_filter=results_filter)\n                )\n        return sorted(list(set(options)))\n\n    def get_sources(self) -> List[ConfigSource]:\n        return self.sources\n\n    def _find_object_source(\n        self, config_path: str, object_type: Optional[ObjectType]\n    ) -> Optional[ConfigSource]:\n        found_source = None\n        for source in self.sources:\n            if object_type == ObjectType.CONFIG:\n                if source.is_config(config_path):\n                    found_source = source\n                    break\n            elif object_type == ObjectType.GROUP:\n                if source.is_group(config_path):\n                    found_source = source\n                    break\n            else:\n                raise ValueError(\"Unexpected object_type\")\n        return found_source\n\n    @staticmethod\n    def _get_scheme(path: str) -> str:\n        idx = path.find(\"://\")\n        if idx == -1:\n            return \"file\"\n        else:\n            return path[0:idx]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_ConfigRepository._split_group_ConfigRepository._split_group.return.group_package_package2": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_ConfigRepository._split_group_ConfigRepository._split_group.return.group_package_package2", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_repository.py", "file_name": "config_repository.py", "file_type": "text/x-python", "category": "implementation", "start_line": 149, "end_line": 171, "span_ids": ["ConfigRepository._split_group"], "tokens": 170}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigRepository(IConfigRepository):\n\n    def _split_group(\n        self,\n        group_with_package: str,\n    ) -> Tuple[str, Optional[str], Optional[str]]:\n        idx = group_with_package.find(\"@\")\n        if idx == -1:\n            # group\n            group = group_with_package\n            package = None\n        else:\n            # group@package\n            group = group_with_package[0:idx]\n            package = group_with_package[idx + 1 :]\n\n        package2 = None\n        if package is not None:\n            # if we have a package, break it down if it's a rename\n            idx = package.find(\":\")\n            if idx != -1:\n                package2 = package[idx + 1 :]\n                package = package[0:idx]\n\n        return group, package, package2", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_ConfigRepository._create_defaults_list_ConfigRepository._create_defaults_list.return.res": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_ConfigRepository._create_defaults_list_ConfigRepository._create_defaults_list.return.res", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_repository.py", "file_name": "config_repository.py", "file_type": "text/x-python", "category": "implementation", "start_line": 174, "end_line": 277, "span_ids": ["ConfigRepository._create_defaults_list"], "tokens": 763}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigRepository(IConfigRepository):\n\n    def _create_defaults_list(\n        self,\n        config_path: str,\n        defaults: ListConfig,\n    ) -> List[InputDefault]:\n        def issue_deprecated_name_warning() -> None:\n            # DEPRECATED: remove in 1.2\n            url = \"https://hydra.cc/docs/next/upgrades/1.0_to_1.1/changes_to_package_header\"\n            deprecation_warning(\n                message=dedent(\n                    f\"\"\"\\\n                    In {config_path}: Defaults List contains deprecated keyword _name_, see {url}\n                    \"\"\"\n                ),\n            )\n\n        res: List[InputDefault] = []\n        for item in defaults._iter_ex(resolve=False):\n            default: InputDefault\n            if isinstance(item, DictConfig):\n                if not version.base_at_least(\"1.2\"):\n                    old_optional = None\n                    if len(item) > 1:\n                        if \"optional\" in item:\n                            old_optional = item.pop(\"optional\")\n                keys = list(item.keys())\n\n                if len(keys) > 1:\n                    raise ValueError(\n                        f\"In {config_path}: Too many keys in default item {item}\"\n                    )\n                if len(keys) == 0:\n                    raise ValueError(f\"In {config_path}: Missing group name in {item}\")\n\n                key = keys[0]\n                assert isinstance(key, str)\n                config_group, package, _package2 = self._split_group(key)\n                keywords = ConfigRepository.Keywords()\n                self._extract_keywords_from_config_group(config_group, keywords)\n\n                if not version.base_at_least(\"1.2\"):\n                    if not keywords.optional and old_optional is not None:\n                        keywords.optional = old_optional\n\n                node = item._get_node(key)\n                assert node is not None and isinstance(node, Node)\n                config_value = node._value()\n\n                if not version.base_at_least(\"1.2\"):\n                    if old_optional is not None:\n                        msg = dedent(\n                            f\"\"\"\n                            In {config_path}: 'optional: true' is deprecated.\n                            Use 'optional {key}: {config_value}' instead.\n                            Support for the old style is removed for Hydra version_base >= 1.2\"\"\"\n                        )\n\n                        deprecation_warning(msg)\n\n                if config_value is not None and not isinstance(\n                    config_value, (str, list)\n                ):\n                    raise ValueError(\n                        f\"Unsupported item value in defaults : {type(config_value).__name__}.\"\n                        \" Supported: string or list\"\n                    )\n\n                if isinstance(config_value, list):\n                    options = []\n                    for v in config_value:\n                        vv = v._value()\n                        if not isinstance(vv, str):\n                            raise ValueError(\n                                f\"Unsupported item value in defaults : {type(vv).__name__},\"\n                                \" nested list items must be strings\"\n                            )\n                        options.append(vv)\n                    config_value = options\n\n                if not version.base_at_least(\"1.2\"):\n                    if package is not None and \"_name_\" in package:\n                        issue_deprecated_name_warning()\n\n                default = GroupDefault(\n                    group=keywords.group,\n                    value=config_value,\n                    package=package,\n                    optional=keywords.optional,\n                    override=keywords.override,\n                )\n\n            elif isinstance(item, str):\n                path, package, _package2 = self._split_group(item)\n                if not version.base_at_least(\"1.2\"):\n                    if package is not None and \"_name_\" in package:\n                        issue_deprecated_name_warning()\n\n                default = ConfigDefault(path=path, package=package)\n            else:\n                raise ValueError(\n                    f\"Unsupported type in defaults : {type(item).__name__}\"\n                )\n            res.append(default)\n        return res", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_ConfigRepository._extract_defaults_list_ConfigRepository._extract_defaults_list.return.defaults": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_ConfigRepository._extract_defaults_list_ConfigRepository._extract_defaults_list.return.defaults", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_repository.py", "file_name": "config_repository.py", "file_type": "text/x-python", "category": "implementation", "start_line": 274, "end_line": 299, "span_ids": ["ConfigRepository._extract_defaults_list"], "tokens": 250}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigRepository(IConfigRepository):\n\n    def _extract_defaults_list(self, config_path: str, cfg: Container) -> ListConfig:\n        empty = OmegaConf.create([])\n        if not OmegaConf.is_dict(cfg):\n            return empty\n        assert isinstance(cfg, DictConfig)\n        with read_write(cfg):\n            with open_dict(cfg):\n                if not cfg._is_typed():\n                    defaults = cfg.pop(\"defaults\", empty)\n                else:\n                    # If node is a backed by Structured Config, flag it and temporarily keep the defaults list in.\n                    # It will be removed later.\n                    # This is addressing an edge case where the defaults list re-appears once the dataclass is used\n                    # as a prototype during OmegaConf merge.\n                    cfg._set_flag(\"HYDRA_REMOVE_TOP_LEVEL_DEFAULTS\", True)\n                    defaults = cfg.get(\"defaults\", empty)\n        if not isinstance(defaults, ListConfig):\n            if isinstance(defaults, DictConfig):\n                type_str = \"mapping\"\n            else:\n                type_str = type(defaults).__name__\n            raise ValueError(\n                f\"Invalid defaults list in '{config_path}', defaults must be a list (got {type_str})\"\n            )\n\n        return defaults", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_ConfigRepository.Keywords_ConfigRepository._extract_keywords_from_config_group.keywords.group.group": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_ConfigRepository.Keywords_ConfigRepository._extract_keywords_from_config_group.keywords.group.group", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_repository.py", "file_name": "config_repository.py", "file_type": "text/x-python", "category": "implementation", "start_line": 293, "end_line": 313, "span_ids": ["ConfigRepository._extract_keywords_from_config_group", "ConfigRepository.Keywords"], "tokens": 136}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigRepository(IConfigRepository):\n\n    @dataclass\n    class Keywords:\n        optional: bool = False\n        override: bool = False\n        group: str = \"\"\n\n    @staticmethod\n    def _extract_keywords_from_config_group(\n        group: str, keywords: \"ConfigRepository.Keywords\"\n    ) -> None:\n        elements = group.split(\" \")\n        group = elements[-1]\n        elements = elements[0:-1]\n        for idx, e in enumerate(elements):\n            if e == \"optional\":\n                keywords.optional = True\n            elif e == \"override\":\n                keywords.override = True\n            else:\n                break\n        keywords.group = group", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_CachingConfigRepository_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_repository.py_CachingConfigRepository_", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_repository.py", "file_name": "config_repository.py", "file_type": "text/x-python", "category": "implementation", "start_line": 316, "end_line": 355, "span_ids": ["CachingConfigRepository.config_exists", "CachingConfigRepository.load_config", "CachingConfigRepository.__init__", "CachingConfigRepository", "CachingConfigRepository.get_sources", "CachingConfigRepository.initialize_sources", "CachingConfigRepository.get_group_options", "CachingConfigRepository.group_exists", "CachingConfigRepository.get_schema_source"], "tokens": 344}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class CachingConfigRepository(IConfigRepository):\n    def __init__(self, delegate: IConfigRepository):\n        # copy the underlying repository to avoid mutating it with initialize_sources()\n        self.delegate = copy.deepcopy(delegate)\n        self.cache: Dict[str, Optional[ConfigResult]] = {}\n\n    def get_schema_source(self) -> ConfigSource:\n        return self.delegate.get_schema_source()\n\n    def initialize_sources(self, config_search_path: ConfigSearchPath) -> None:\n        self.delegate.initialize_sources(config_search_path)\n        # not clearing the cache.\n        # For the use case this is used, the only thing in the cache is the primary config\n        # and we want to keep it even though we re-initialized the sources.\n\n    def load_config(self, config_path: str) -> Optional[ConfigResult]:\n        cache_key = f\"config_path={config_path}\"\n        if cache_key in self.cache:\n            return self.cache[cache_key]\n        else:\n            ret = self.delegate.load_config(config_path=config_path)\n            self.cache[cache_key] = ret\n            return ret\n\n    def group_exists(self, config_path: str) -> bool:\n        return self.delegate.group_exists(config_path=config_path)\n\n    def config_exists(self, config_path: str) -> bool:\n        return self.delegate.config_exists(config_path=config_path)\n\n    def get_group_options(\n        self, group_name: str, results_filter: Optional[ObjectType] = ObjectType.CONFIG\n    ) -> List[str]:\n        return self.delegate.get_group_options(\n            group_name=group_name, results_filter=results_filter\n        )\n\n    def get_sources(self) -> List[ConfigSource]:\n        return self.delegate.get_sources()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/file_config_source.py_os_FileConfigSource.load_config.with_open_full_path_enco.return.ConfigResult_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/file_config_source.py_os_FileConfigSource.load_config.with_open_full_path_enco.return.ConfigResult_", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/file_config_source.py", "file_name": "file_config_source.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 37, "span_ids": ["FileConfigSource.load_config", "FileConfigSource.__init__", "FileConfigSource.scheme", "docstring", "FileConfigSource"], "tokens": 270}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import os\nfrom typing import List, Optional\n\nfrom omegaconf import OmegaConf\n\nfrom hydra.core.object_type import ObjectType\nfrom hydra.plugins.config_source import ConfigLoadError, ConfigResult, ConfigSource\n\n\nclass FileConfigSource(ConfigSource):\n    def __init__(self, provider: str, path: str) -> None:\n        if path.find(\"://\") == -1:\n            path = f\"{self.scheme()}://{path}\"\n        super().__init__(provider=provider, path=path)\n\n    @staticmethod\n    def scheme() -> str:\n        return \"file\"\n\n    def load_config(self, config_path: str) -> ConfigResult:\n        normalized_config_path = self._normalize_file_name(config_path)\n        full_path = os.path.realpath(os.path.join(self.path, normalized_config_path))\n        if not os.path.exists(full_path):\n            raise ConfigLoadError(f\"Config not found : {full_path}\")\n\n        with open(full_path, encoding=\"utf-8\") as f:\n            header_text = f.read(512)\n            header = ConfigSource._get_header_dict(header_text)\n            f.seek(0)\n            cfg = OmegaConf.load(f)\n            return ConfigResult(\n                config=cfg,\n                path=f\"{self.scheme()}://{self.path}\",\n                provider=self.provider,\n                header=header,\n            )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/importlib_resources_config_source.py_ImportlibResourcesConfigSource_ImportlibResourcesConfigSource._read_config.try_.finally_.f_close_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/importlib_resources_config_source.py_ImportlibResourcesConfigSource_ImportlibResourcesConfigSource._read_config.try_.finally_.f_close_", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/importlib_resources_config_source.py", "file_name": "importlib_resources_config_source.py", "file_type": "text/x-python", "category": "implementation", "start_line": 23, "end_line": 54, "span_ids": ["ImportlibResourcesConfigSource._read_config", "ImportlibResourcesConfigSource.__init__", "ImportlibResourcesConfigSource.scheme", "ImportlibResourcesConfigSource"], "tokens": 262}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ImportlibResourcesConfigSource(ConfigSource):\n    def __init__(self, provider: str, path: str) -> None:\n        super().__init__(provider=provider, path=path)\n        # normalize to pkg format\n        self.path = self.path.replace(\"/\", \".\").rstrip(\".\")\n\n    @staticmethod\n    def scheme() -> str:\n        return \"pkg\"\n\n    def _read_config(self, res: Any) -> ConfigResult:\n        try:\n            if sys.version_info[0:2] >= (3, 8) and isinstance(res, zipfile.Path):\n                # zipfile does not support encoding, read() calls returns bytes.\n                f = res.open()\n            else:\n                f = res.open(encoding=\"utf-8\")\n            header_text = f.read(512)\n            if isinstance(header_text, bytes):\n                # if header is bytes, utf-8 decode (zipfile path)\n                header_text = header_text.decode(\"utf-8\")\n            header = ConfigSource._get_header_dict(header_text)\n            f.seek(0)\n            cfg = OmegaConf.load(f)\n            return ConfigResult(\n                config=cfg,\n                path=f\"{self.scheme()}://{self.path}\",\n                provider=self.provider,\n                header=header,\n            )\n        finally:\n            f.close()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/structured_config_source.py_importlib_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/structured_config_source.py_importlib_", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/structured_config_source.py", "file_name": "structured_config_source.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 67, "span_ids": ["StructuredConfigSource.__init__", "StructuredConfigSource.available", "StructuredConfigSource.list", "StructuredConfigSource", "StructuredConfigSource.is_config", "StructuredConfigSource.scheme", "docstring", "StructuredConfigSource.load_config", "StructuredConfigSource.is_group"], "tokens": 471}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import importlib\nimport warnings\nfrom typing import List, Optional\n\nfrom hydra.core.config_store import ConfigStore\nfrom hydra.core.object_type import ObjectType\nfrom hydra.plugins.config_source import ConfigResult, ConfigSource\n\n\nclass StructuredConfigSource(ConfigSource):\n    store: ConfigStore\n\n    def __init__(self, provider: str, path: str) -> None:\n        super().__init__(provider=provider, path=path)\n        # Import the module, the __init__ there is expected to register the configs.\n        self.store = ConfigStore.instance()\n        if self.path != \"\":\n            try:\n                importlib.import_module(self.path)\n            except Exception as e:\n                warnings.warn(\n                    f\"Error importing {self.path} : some configs may not be available\\n\\n\\tRoot cause: {e}\\n\"\n                )\n                raise e\n\n    @staticmethod\n    def scheme() -> str:\n        return \"structured\"\n\n    def load_config(self, config_path: str) -> ConfigResult:\n        normalized_config_path = self._normalize_file_name(config_path)\n        ret = self.store.load(config_path=normalized_config_path)\n        provider = ret.provider if ret.provider is not None else self.provider\n        header = {\"package\": ret.package}\n        return ConfigResult(\n            config=ret.node,\n            path=f\"{self.scheme()}://{self.path}\",\n            provider=provider,\n            header=header,\n        )\n\n    def available(self) -> bool:\n        return True\n\n    def is_group(self, config_path: str) -> bool:\n        type_ = self.store.get_type(config_path.rstrip(\"/\"))\n        return type_ == ObjectType.GROUP\n\n    def is_config(self, config_path: str) -> bool:\n        filename = self._normalize_file_name(config_path.rstrip(\"/\"))\n        type_ = self.store.get_type(filename)\n        return type_ == ObjectType.CONFIG\n\n    def list(self, config_path: str, results_filter: Optional[ObjectType]) -> List[str]:\n        ret: List[str] = []\n        files = self.store.list(config_path)\n\n        for file in files:\n            self._list_add_result(\n                files=ret,\n                file_path=f\"{config_path}/{file}\",\n                file_name=file,\n                results_filter=results_filter,\n            )\n        return sorted(list(set(ret)))", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/zsh_completion.py_logging_ZshCompletion.query.self_delegate_query_confi": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/zsh_completion.py_logging_ZshCompletion.query.self_delegate_query_confi", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/zsh_completion.py", "file_name": "zsh_completion.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 29, "span_ids": ["ZshCompletion.__init__", "ZshCompletion", "ZshCompletion.install", "ZshCompletion.query", "docstring", "ZshCompletion.provides", "ZshCompletion.uninstall"], "tokens": 159}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nfrom typing import Optional\n\nfrom hydra.core.config_loader import ConfigLoader\nfrom hydra.plugins.completion_plugin import CompletionPlugin\n\nlog = logging.getLogger(__name__)\n\n\nclass ZshCompletion(CompletionPlugin):\n    def __init__(self, config_loader: ConfigLoader):\n        super(ZshCompletion, self).__init__(config_loader)\n        from hydra._internal.core_plugins.bash_completion import BashCompletion\n\n        self.delegate = BashCompletion(config_loader)\n\n    def install(self) -> None:\n        self.delegate.install()\n\n    def uninstall(self) -> None:\n        self.delegate.uninstall()\n\n    @staticmethod\n    def provides() -> str:\n        return \"zsh\"\n\n    def query(self, config_name: Optional[str]) -> None:\n        self.delegate.query(config_name)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/zsh_completion.py_ZshCompletion.help_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/zsh_completion.py_ZshCompletion.help_", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/zsh_completion.py", "file_name": "zsh_completion.py", "file_type": "text/x-python", "category": "implementation", "start_line": 31, "end_line": 49, "span_ids": ["ZshCompletion.help", "ZshCompletion._get_exec"], "tokens": 166}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ZshCompletion(CompletionPlugin):\n\n    @staticmethod\n    def help(command: str) -> str:\n        assert command in [\"install\", \"uninstall\"]\n        extra_description = (\n            \"Zsh is compatible with the Bash shell completion, see the [documentation]\"\n            \"(https://hydra.cc/docs/next/tutorials/basic/running_your_app/tab_completion#zsh-instructions)\"\n            \" for details.\\n    \"\n        )\n        command_text = f'eval \"$({{}} -sc {command}=bash)\"'\n        if command == \"install\":\n            return extra_description + command_text\n        return command_text\n\n    @staticmethod\n    def _get_exec() -> str:\n        from hydra._internal.core_plugins.bash_completion import BashCompletion\n\n        return BashCompletion._get_exec()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py_copy_OverrideMetadata.relative_key.None": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py_copy_OverrideMetadata.relative_key.None", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 45, "span_ids": ["Deletion", "OverrideMetadata", "docstring"], "tokens": 243}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import copy\nimport os\nimport warnings\nfrom dataclasses import dataclass, field\nfrom textwrap import dedent\nfrom typing import Callable, Dict, List, Optional, Set, Tuple, Union\n\nfrom omegaconf import DictConfig, OmegaConf\n\nfrom hydra import MissingConfigException, version\nfrom hydra._internal.config_repository import IConfigRepository\nfrom hydra.core.config_store import ConfigStore\nfrom hydra.core.default_element import (\n    ConfigDefault,\n    DefaultsTreeNode,\n    GroupDefault,\n    InputDefault,\n    ResultDefault,\n    VirtualRoot,\n)\nfrom hydra.core.object_type import ObjectType\nfrom hydra.core.override_parser.types import Override\nfrom hydra.errors import ConfigCompositionException\n\nfrom .deprecation_warning import deprecation_warning\n\ncs = ConfigStore.instance()\n\ncs.store(name=\"_dummy_empty_config_\", node={}, provider=\"hydra\")\n\n\n@dataclass\nclass Deletion:\n    name: Optional[str]\n    used: bool = field(default=False, compare=False)\n\n\n@dataclass\nclass OverrideMetadata:\n    external_override: bool\n    containing_config_path: Optional[str] = None\n    used: bool = False\n    relative_key: Optional[str] = None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py_Overrides_Overrides.override_default_option.if_key_in_self_override_c.self.override_metadata[key].used.True": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py_Overrides_Overrides.override_default_option.if_key_in_self_override_c.self.override_metadata[key].used.True", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 46, "end_line": 133, "span_ids": ["Overrides.__init__", "Overrides.is_overridden", "Overrides", "Overrides.override_default_option", "Overrides.add_override"], "tokens": 651}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass Overrides:\n    override_choices: Dict[str, Optional[Union[str, List[str]]]]\n    override_metadata: Dict[str, OverrideMetadata]\n\n    append_group_defaults: List[GroupDefault]\n    config_overrides: List[Override]\n\n    known_choices: Dict[str, Optional[str]]\n    known_choices_per_group: Dict[str, Set[str]]\n\n    deletions: Dict[str, Deletion]\n\n    def __init__(self, repo: IConfigRepository, overrides_list: List[Override]) -> None:\n        self.override_choices = {}\n        self.override_metadata = {}\n        self.append_group_defaults = []\n        self.config_overrides = []\n        self.deletions = {}\n\n        self.known_choices = {}\n        self.known_choices_per_group = {}\n\n        for override in overrides_list:\n            if override.is_sweep_override():\n                continue\n            is_group = repo.group_exists(override.key_or_group)\n            value = override.value()\n            is_dict = isinstance(override.value(), dict)\n            if is_dict or not is_group:\n                self.config_overrides.append(override)\n            elif override.is_force_add():\n                # This could probably be made to work if there is a compelling use case.\n                raise ConfigCompositionException(\n                    f\"force-add of config groups is not supported: '{override.input_line}'\"\n                )\n            elif override.is_delete():\n                key = override.get_key_element()[1:]\n                value = override.value()\n                if value is not None and not isinstance(value, str):\n                    raise ValueError(\n                        f\"Config group override deletion value must be a string : {override}\"\n                    )\n\n                self.deletions[key] = Deletion(name=value)\n\n            elif not isinstance(value, (str, list)):\n                raise ValueError(\n                    f\"Config group override must be a string or a list. Got {type(value).__name__}\"\n                )\n            elif override.is_add():\n                self.append_group_defaults.append(\n                    GroupDefault(\n                        group=override.key_or_group,\n                        package=override.package,\n                        value=value,\n                        external_append=True,\n                    )\n                )\n            else:\n                key = override.get_key_element()\n                self.override_choices[key] = value\n                self.override_metadata[key] = OverrideMetadata(external_override=True)\n\n    def add_override(self, parent_config_path: str, default: GroupDefault) -> None:\n        assert default.override\n        key = default.get_override_key()\n        if key not in self.override_choices:\n            self.override_choices[key] = default.value\n            self.override_metadata[key] = OverrideMetadata(\n                external_override=False,\n                containing_config_path=parent_config_path,\n                relative_key=default.get_relative_override_key(),\n            )\n\n    def is_overridden(self, default: InputDefault) -> bool:\n        if isinstance(default, GroupDefault):\n            return default.get_override_key() in self.override_choices\n\n        return False\n\n    def override_default_option(self, default: GroupDefault) -> None:\n        key = default.get_override_key()\n        if key in self.override_choices:\n            if isinstance(default, GroupDefault):\n                default.value = self.override_choices[key]\n            default.config_name_overridden = True\n            self.override_metadata[key].used = True", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py_Overrides.ensure_overrides_used_Overrides.ensure_overrides_used.for_key_meta_in_self_ove.if_not_meta_used_.raise_ConfigCompositionEx": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py_Overrides.ensure_overrides_used_Overrides.ensure_overrides_used.for_key_meta_in_self_ove.if_not_meta_used_.raise_ConfigCompositionEx", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 133, "end_line": 164, "span_ids": ["Overrides.ensure_overrides_used"], "tokens": 260}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass Overrides:\n\n    def ensure_overrides_used(self) -> None:\n        for key, meta in self.override_metadata.items():\n            if not meta.used:\n                group = key.split(\"@\")[0]\n                choices = (\n                    self.known_choices_per_group[group]\n                    if group in self.known_choices_per_group\n                    else set()\n                )\n\n                if len(choices) > 1:\n                    msg = (\n                        f\"Could not override '{key}'.\"\n                        f\"\\nDid you mean to override one of {', '.join(sorted(list(choices)))}?\"\n                    )\n                elif len(choices) == 1:\n                    msg = (\n                        f\"Could not override '{key}'.\"\n                        f\"\\nDid you mean to override {copy.copy(choices).pop()}?\"\n                    )\n                elif len(choices) == 0:\n                    msg = f\"Could not override '{key}'. No match in the defaults list.\"\n                else:\n                    assert False\n\n                if meta.containing_config_path is not None:\n                    msg = f\"In '{meta.containing_config_path}': {msg}\"\n\n                if meta.external_override:\n                    msg += f\"\\nTo append to your default list use +{key}={self.override_choices[key]}\"\n\n                raise ConfigCompositionException(msg)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py_Overrides.ensure_deletions_used_Overrides.set_known_choice.if_isinstance_default_Gr.self_known_choices_per_gr": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py_Overrides.ensure_deletions_used_Overrides.set_known_choice.if_isinstance_default_Gr.self_known_choices_per_gr", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 166, "end_line": 189, "span_ids": ["Overrides.ensure_deletions_used", "Overrides.set_known_choice"], "tokens": 236}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass Overrides:\n\n    def ensure_deletions_used(self) -> None:\n        for key, deletion in self.deletions.items():\n            if not deletion.used:\n                desc = f\"{key}={deletion.name}\" if deletion.name is not None else key\n                msg = f\"Could not delete '{desc}'. No match in the defaults list\"\n                raise ConfigCompositionException(msg)\n\n    def set_known_choice(self, default: InputDefault) -> None:\n        if isinstance(default, GroupDefault):\n            key = default.get_override_key()\n            if key not in self.known_choices:\n                self.known_choices[key] = default.get_name()\n            else:\n                prev = self.known_choices[key]\n                if default.get_name() != prev:\n                    raise ConfigCompositionException(\n                        f\"Multiple values for {key}.\"\n                        f\" To override a value use 'override {key}: {prev}'\"\n                    )\n\n            group = default.get_group_path()\n            if group not in self.known_choices_per_group:\n                self.known_choices_per_group[group] = set()\n            self.known_choices_per_group[group].add(key)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py_Overrides.is_deleted_DefaultsList.overrides": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py_Overrides.is_deleted_DefaultsList.overrides", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 191, "end_line": 216, "span_ids": ["Overrides.is_deleted", "DefaultsList", "Overrides.delete"], "tokens": 169}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass Overrides:\n\n    def is_deleted(self, default: InputDefault) -> bool:\n        if not isinstance(default, GroupDefault):\n            return False\n        key = default.get_override_key()\n        if key in self.deletions:\n            deletion = self.deletions[key]\n            if deletion.name is None:\n                return True\n            else:\n                return deletion.name == default.get_name()\n        return False\n\n    def delete(self, default: InputDefault) -> None:\n        assert isinstance(default, GroupDefault)\n        default.deleted = True\n\n        key = default.get_override_key()\n        self.deletions[key].used = True\n\n\n@dataclass\nclass DefaultsList:\n    defaults: List[ResultDefault]\n    defaults_tree: DefaultsTreeNode\n    config_overrides: List[Override]\n    overrides: Overrides", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__check_not_missing__check_not_missing.return.False": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__check_not_missing__check_not_missing.return.False", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 299, "end_line": 328, "span_ids": ["_check_not_missing"], "tokens": 198}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _check_not_missing(\n    repo: IConfigRepository,\n    default: InputDefault,\n    skip_missing: bool,\n) -> bool:\n    path = default.get_config_path()\n    if path.endswith(\"???\"):\n        if skip_missing:\n            return True\n        if isinstance(default, GroupDefault):\n            group_path = default.get_group_path()\n            override_key = default.get_override_key()\n            options = repo.get_group_options(\n                group_path,\n                results_filter=ObjectType.CONFIG,\n            )\n            opt_list = \"\\n\".join([\"\\t\" + x for x in options])\n            msg = dedent(\n                f\"\"\"\\\n                You must specify '{override_key}', e.g, {override_key}=<OPTION>\n                Available options:\n                \"\"\"\n            )\n            raise ConfigCompositionException(msg + opt_list)\n        elif isinstance(default, ConfigDefault):\n            raise ValueError(f\"Missing ConfigDefault is not supported : {path}\")\n        else:\n            assert False\n\n    return False", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__create_interpolation_map__create_interpolation_map.return.known_choices": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__create_interpolation_map__create_interpolation_map.return.known_choices", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 312, "end_line": 326, "span_ids": ["_create_interpolation_map"], "tokens": 114}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _create_interpolation_map(\n    overrides: Overrides,\n    defaults_list: List[InputDefault],\n    self_added: bool,\n) -> DictConfig:\n    known_choices = OmegaConf.create(overrides.known_choices)\n    known_choices.defaults = []\n    for d in defaults_list:\n        if self_added and d.is_self():\n            continue\n        if isinstance(d, ConfigDefault):\n            known_choices.defaults.append(d.get_config_path())\n        elif isinstance(d, GroupDefault):\n            known_choices.defaults.append({d.get_override_key(): d.value})\n    return known_choices", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__create_defaults_tree__create_defaults_tree.return.ret": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__create_defaults_tree__create_defaults_tree.return.ret", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 329, "end_line": 346, "span_ids": ["_create_defaults_tree"], "tokens": 103}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _create_defaults_tree(\n    repo: IConfigRepository,\n    root: DefaultsTreeNode,\n    is_root_config: bool,\n    skip_missing: bool,\n    interpolated_subtree: bool,\n    overrides: Overrides,\n) -> DefaultsTreeNode:\n    ret = _create_defaults_tree_impl(\n        repo=repo,\n        root=root,\n        is_root_config=is_root_config,\n        skip_missing=skip_missing,\n        interpolated_subtree=interpolated_subtree,\n        overrides=overrides,\n    )\n\n    return ret", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__create_defaults_tree_impl.add_child__create_defaults_tree_impl.add_child.if_subtree__children_is_N.else_.child_list_append_subtree": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__create_defaults_tree_impl.add_child__create_defaults_tree_impl.add_child.if_subtree__children_is_N.else_.child_list_append_subtree", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 471, "end_line": 486, "span_ids": ["_create_defaults_tree_impl"], "tokens": 170}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _create_defaults_tree_impl(\n    repo: IConfigRepository,\n    root: DefaultsTreeNode,\n    is_root_config: bool,\n    skip_missing: bool,\n    interpolated_subtree: bool,\n    overrides: Overrides,\n) -> DefaultsTreeNode:\n    # ... other code\n\n    def add_child(\n        child_list: List[Union[InputDefault, DefaultsTreeNode]],\n        new_root_: DefaultsTreeNode,\n    ) -> None:\n        subtree_ = _create_defaults_tree_impl(\n            repo=repo,\n            root=new_root_,\n            is_root_config=False,\n            interpolated_subtree=interpolated_subtree,\n            skip_missing=skip_missing,\n            overrides=overrides,\n        )\n        if subtree_.children is None:\n            child_list.append(new_root_.node)\n        else:\n            child_list.append(subtree_)\n    # ... other code", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__create_defaults_tree_impl.for_d_in_reversed_default__create_defaults_tree_impl.return.root": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__create_defaults_tree_impl.for_d_in_reversed_default__create_defaults_tree_impl.return.root", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 495, "end_line": 563, "span_ids": ["_create_defaults_tree_impl"], "tokens": 511}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _create_defaults_tree_impl(\n    repo: IConfigRepository,\n    root: DefaultsTreeNode,\n    is_root_config: bool,\n    skip_missing: bool,\n    interpolated_subtree: bool,\n    overrides: Overrides,\n) -> DefaultsTreeNode:\n    # ... other code\n\n    for d in reversed(defaults_list):\n        if d.is_self():\n            d.update_parent(root.node.parent_base_dir, root.node.get_package())\n            children.append(d)\n        else:\n            if d.is_override():\n                continue\n\n            d.update_parent(parent.get_group_path(), parent.get_final_package())\n\n            if overrides.is_overridden(d):\n                assert isinstance(d, GroupDefault)\n                overrides.override_default_option(d)\n\n            if isinstance(d, GroupDefault) and d.is_options():\n                # overriding may change from options to name\n                if d.is_options():\n                    for item in reversed(d.get_options()):\n                        if \"${\" in item:\n                            raise ConfigCompositionException(\n                                f\"In '{path}': Defaults List interpolation is not supported in options list items\"\n                            )\n\n                        assert d.group is not None\n                        node = ConfigDefault(\n                            path=d.group + \"/\" + item,\n                            package=d.package,\n                            optional=d.is_optional(),\n                        )\n                        node.update_parent(\n                            parent.get_group_path(), parent.get_final_package()\n                        )\n                        new_root = DefaultsTreeNode(node=node, parent=root)\n                        add_child(children, new_root)\n                else:\n                    new_root = DefaultsTreeNode(node=d, parent=root)\n                    add_child(children, new_root)\n\n            else:\n                if d.is_interpolation():\n                    children.append(d)\n                    continue\n\n                new_root = DefaultsTreeNode(node=d, parent=root)\n                add_child(children, new_root)\n\n    # processed deferred interpolations\n    known_choices = _create_interpolation_map(overrides, defaults_list, self_added)\n\n    for idx, dd in enumerate(children):\n        if isinstance(dd, InputDefault) and dd.is_interpolation():\n            dd.resolve_interpolation(known_choices)\n            new_root = DefaultsTreeNode(node=dd, parent=root)\n            dd.update_parent(parent.get_group_path(), parent.get_final_package())\n            subtree = _create_defaults_tree_impl(\n                repo=repo,\n                root=new_root,\n                is_root_config=False,\n                skip_missing=skip_missing,\n                interpolated_subtree=True,\n                overrides=overrides,\n            )\n            if subtree.children is not None:\n                children[idx] = subtree\n\n    if len(children) > 0:\n        root.children = list(reversed(children))\n\n    return root", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__create_result_default__create_result_default.return.res": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__create_result_default__create_result_default.return.res", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 566, "end_line": 599, "span_ids": ["_create_result_default"], "tokens": 219}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _create_result_default(\n    tree: Optional[DefaultsTreeNode], node: InputDefault\n) -> Optional[ResultDefault]:\n    if node.is_virtual():\n        return None\n    if node.get_name() is None:\n        return None\n\n    res = ResultDefault()\n\n    if node.is_self():\n        assert tree is not None\n        res.config_path = tree.node.get_config_path()\n        res.is_self = True\n        pn = tree.parent_node()\n        if pn is not None:\n            res.parent = pn.get_config_path()\n        else:\n            res.parent = None\n        res.package = tree.node.get_final_package()\n        res.primary = tree.node.primary\n    else:\n        res.config_path = node.get_config_path()\n        if tree is not None:\n            res.parent = tree.node.get_config_path()\n        res.package = node.get_final_package()\n        if isinstance(node, GroupDefault):\n            res.override_key = node.get_override_key()\n        res.primary = node.primary\n\n    if res.config_path == \"_dummy_empty_config_\":\n        return None\n\n    return res", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__dfs_walk__tree_to_list.return.visitor_output": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__dfs_walk__tree_to_list.return.visitor_output", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 602, "end_line": 639, "span_ids": ["_dfs_walk", "_tree_to_list"], "tokens": 233}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _dfs_walk(\n    tree: DefaultsTreeNode,\n    operator: Callable[[Optional[DefaultsTreeNode], InputDefault], None],\n) -> None:\n    if tree.children is None or len(tree.children) == 0:\n        operator(tree.parent, tree.node)\n    else:\n        for child in tree.children:\n            if isinstance(child, InputDefault):\n                operator(tree, child)\n            else:\n                assert isinstance(child, DefaultsTreeNode)\n                _dfs_walk(tree=child, operator=operator)\n\n\ndef _tree_to_list(\n    tree: DefaultsTreeNode,\n) -> List[ResultDefault]:\n    class Collector:\n        def __init__(self) -> None:\n            self.output: List[ResultDefault] = []\n\n        def __call__(\n            self, tree_node: Optional[DefaultsTreeNode], node: InputDefault\n        ) -> None:\n            if node.is_deleted():\n                return\n\n            if node.is_missing():\n                return\n\n            rd = _create_result_default(tree=tree_node, node=node)\n            if rd is not None:\n                self.output.append(rd)\n\n    visitor = Collector()\n    _dfs_walk(tree, visitor)\n    return visitor.output", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__create_root_ensure_no_duplicates_in_list.for_item_in_result_.if_not_item_is_self_.if_key_is_not_None_.keys_add_key_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__create_root_ensure_no_duplicates_in_list.for_item_in_result_.if_not_item_is_self_.if_key_is_not_None_.keys_add_key_", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 642, "end_line": 669, "span_ids": ["ensure_no_duplicates_in_list", "_create_root"], "tokens": 195}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _create_root(config_name: Optional[str], with_hydra: bool) -> DefaultsTreeNode:\n    primary: InputDefault\n    if config_name is None:\n        primary = ConfigDefault(path=\"_dummy_empty_config_\", primary=True)\n    else:\n        primary = ConfigDefault(path=config_name, primary=True)\n\n    if with_hydra:\n        root = DefaultsTreeNode(\n            node=VirtualRoot(),\n            children=[ConfigDefault(path=\"hydra/config\"), primary],\n        )\n    else:\n        root = DefaultsTreeNode(node=primary)\n    return root\n\n\ndef ensure_no_duplicates_in_list(result: List[ResultDefault]) -> None:\n    keys = set()\n    for item in result:\n        if not item.is_self:\n            key = item.override_key\n            if key is not None:\n                if key in keys:\n                    raise ConfigCompositionException(\n                        f\"{key} appears more than once in the final defaults list\"\n                    )\n                keys.add(key)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__create_defaults_list__create_defaults_list.return.output_defaults_tree": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__create_defaults_list__create_defaults_list.return.output_defaults_tree", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 672, "end_line": 693, "span_ids": ["_create_defaults_list"], "tokens": 141}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _create_defaults_list(\n    repo: IConfigRepository,\n    config_name: Optional[str],\n    overrides: Overrides,\n    prepend_hydra: bool,\n    skip_missing: bool,\n) -> Tuple[List[ResultDefault], DefaultsTreeNode]:\n\n    root = _create_root(config_name=config_name, with_hydra=prepend_hydra)\n\n    defaults_tree = _create_defaults_tree(\n        repo=repo,\n        root=root,\n        overrides=overrides,\n        is_root_config=True,\n        interpolated_subtree=False,\n        skip_missing=skip_missing,\n    )\n\n    output = _tree_to_list(tree=defaults_tree)\n    ensure_no_duplicates_in_list(output)\n    return output, defaults_tree", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py_create_defaults_list_create_defaults_list.return.DefaultsList_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py_create_defaults_list_create_defaults_list.return.DefaultsList_", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 696, "end_line": 726, "span_ids": ["create_defaults_list"], "tokens": 208}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def create_defaults_list(\n    repo: IConfigRepository,\n    config_name: Optional[str],\n    overrides_list: List[Override],\n    prepend_hydra: bool,\n    skip_missing: bool,\n) -> DefaultsList:\n    \"\"\"\n    :param repo:\n    :param config_name:\n    :param overrides_list:\n    :param prepend_hydra:\n    :param skip_missing: True to skip config group with the value '???' and not fail on them. Useful when sweeping.\n    :return:\n    \"\"\"\n    overrides = Overrides(repo=repo, overrides_list=overrides_list)\n    defaults, tree = _create_defaults_list(\n        repo,\n        config_name,\n        overrides,\n        prepend_hydra=prepend_hydra,\n        skip_missing=skip_missing,\n    )\n    overrides.ensure_overrides_used()\n    overrides.ensure_deletions_used()\n    return DefaultsList(\n        defaults=defaults,\n        config_overrides=overrides.config_overrides,\n        defaults_tree=tree,\n        overrides=overrides,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py_config_not_found_error_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py_config_not_found_error_", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 729, "end_line": 771, "span_ids": ["config_not_found_error"], "tokens": 331}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def config_not_found_error(repo: IConfigRepository, tree: DefaultsTreeNode) -> None:\n    element = tree.node\n    options = None\n    group = None\n    if isinstance(element, GroupDefault):\n        group = element.get_group_path()\n        options = repo.get_group_options(group, ObjectType.CONFIG)\n\n    if element.primary:\n        msg = dedent(\n            f\"\"\"\\\n        Cannot find primary config '{element.get_config_path()}'. Check that it's in your config search path.\n        \"\"\"\n        )\n    else:\n        parent = tree.parent.node if tree.parent is not None else None\n        if isinstance(element, GroupDefault):\n            msg = f\"Could not find '{element.get_config_path()}'\\n\"\n            if options is not None and len(options) > 0:\n                opt_list = \"\\n\".join([\"\\t\" + x for x in options])\n                msg = f\"{msg}\\nAvailable options in '{group}':\\n\" + opt_list\n        else:\n            msg = dedent(\n                f\"\"\"\\\n            Could not load '{element.get_config_path()}'.\n            \"\"\"\n            )\n\n        if parent is not None:\n            msg = f\"In '{parent.get_config_path()}': {msg}\"\n\n    descs = []\n    for src in repo.get_sources():\n        descs.append(f\"\\t{repr(src)}\")\n    lines = \"\\n\".join(descs)\n    msg += \"\\nConfig search path:\" + f\"\\n{lines}\"\n\n    raise MissingConfigException(\n        missing_cfg_file=element.get_config_path(),\n        message=msg,\n        options=options,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/utils.py_is_type_matching_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/utils.py_is_type_matching_", "embedding": null, "metadata": {"file_path": "hydra/_internal/grammar/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 36, "end_line": 55, "span_ids": ["is_type_matching"], "tokens": 172}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def is_type_matching(value: Any, type_: Any) -> bool:\n    # Union\n    if hasattr(type_, \"__origin__\") and type_.__origin__ is Union:\n        types = list(type_.__args__)\n        for idx, t in enumerate(types):\n            # for now treat any Dict[X,Y] as dict and any List[X] as list, ignoring element types\n            if is_dict_annotation(t):\n                t = dict\n            elif is_list_annotation(t):\n                t = list\n            types[idx] = t\n        return isinstance(value, tuple(types))\n    else:\n        primitives = (int, float, bool, str)\n        if type_ in primitives:\n            return type(value) is type_\n        if type_ in (Any, inspect.Signature.empty):\n            return True\n        return isinstance(value, type_)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.run_Hydra.run.return.ret": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.run_Hydra.run.return.ret", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 98, "end_line": 134, "span_ids": ["Hydra.run"], "tokens": 247}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    def run(\n        self,\n        config_name: Optional[str],\n        task_function: TaskFunction,\n        overrides: List[str],\n        with_log_configuration: bool = True,\n    ) -> JobReturn:\n        cfg = self.compose_config(\n            config_name=config_name,\n            overrides=overrides,\n            with_log_configuration=with_log_configuration,\n            run_mode=RunMode.RUN,\n        )\n        if cfg.hydra.mode is None:\n            cfg.hydra.mode = RunMode.RUN\n        else:\n            assert cfg.hydra.mode == RunMode.RUN\n\n        callbacks = Callbacks(cfg)\n        callbacks.on_run_start(config=cfg, config_name=config_name)\n\n        ret = run_job(\n            hydra_context=HydraContext(\n                config_loader=self.config_loader, callbacks=callbacks\n            ),\n            task_function=task_function,\n            config=cfg,\n            job_dir_key=\"hydra.run.dir\",\n            job_subdir_key=None,\n            configure_logging=with_log_configuration,\n        )\n        callbacks.on_run_end(config=cfg, config_name=config_name, job_return=ret)\n\n        # access the result to trigger an exception in case the job failed.\n        _ = ret.return_value\n\n        return ret", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.multirun_Hydra.multirun.return.ret": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.multirun_Hydra.multirun.return.ret", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 136, "end_line": 164, "span_ids": ["Hydra.multirun"], "tokens": 217}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    def multirun(\n        self,\n        config_name: Optional[str],\n        task_function: TaskFunction,\n        overrides: List[str],\n        with_log_configuration: bool = True,\n    ) -> Any:\n        cfg = self.compose_config(\n            config_name=config_name,\n            overrides=overrides,\n            with_log_configuration=with_log_configuration,\n            run_mode=RunMode.MULTIRUN,\n        )\n\n        callbacks = Callbacks(cfg)\n        callbacks.on_multirun_start(config=cfg, config_name=config_name)\n\n        sweeper = Plugins.instance().instantiate_sweeper(\n            config=cfg,\n            hydra_context=HydraContext(\n                config_loader=self.config_loader, callbacks=callbacks\n            ),\n            task_function=task_function,\n        )\n        task_overrides = OmegaConf.to_container(cfg.hydra.overrides.task, resolve=False)\n        assert isinstance(task_overrides, list)\n        ret = sweeper.sweep(arguments=task_overrides)\n        callbacks.on_multirun_end(config=cfg, config_name=config_name)\n        return ret", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.shell_completion_Hydra.shell_completion.if_install_in_arguments.elif_query_in_arguments.plugin_query_config_name_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.shell_completion_Hydra.shell_completion.if_install_in_arguments.elif_query_in_arguments.plugin_query_config_name_", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 215, "end_line": 242, "span_ids": ["Hydra.shell_completion"], "tokens": 254}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    def shell_completion(\n        self, config_name: Optional[str], overrides: List[str]\n    ) -> None:\n        subcommands = [\"install\", \"uninstall\", \"query\"]\n        arguments = OmegaConf.from_dotlist(overrides)\n        num_commands = sum(1 for key in subcommands if key in arguments)\n        if num_commands != 1:\n            raise ValueError(f\"Expecting one subcommand from {subcommands} to be set\")\n\n        shell_to_plugin = self.get_shell_to_plugin_map(self.config_loader)\n\n        def find_plugin(cmd: str) -> CompletionPlugin:\n            if cmd not in shell_to_plugin:\n                lst = \"\\n\".join([\"\\t\" + x for x in shell_to_plugin.keys()])\n                raise ValueError(\n                    f\"No completion plugin for '{cmd}' found, available : \\n{lst}\"\n                )\n            return shell_to_plugin[cmd][0]\n\n        if \"install\" in arguments:\n            plugin = find_plugin(arguments.install)\n            plugin.install()\n        elif \"uninstall\" in arguments:\n            plugin = find_plugin(arguments.uninstall)\n            plugin.uninstall()\n        elif \"query\" in arguments:\n            plugin = find_plugin(arguments.query)\n            plugin.query(config_name=config_name)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra._print_config_info_Hydra._print_config_info.log_info_OmegaConf_to_yam": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra._print_config_info_Hydra._print_config_info.log_info_OmegaConf_to_yam", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 485, "end_line": 510, "span_ids": ["Hydra._print_config_info"], "tokens": 202}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    def _print_config_info(\n        self,\n        config_name: Optional[str],\n        overrides: List[str],\n        run_mode: RunMode = RunMode.RUN,\n    ) -> None:\n        assert log is not None\n        self._print_search_path(\n            config_name=config_name, overrides=overrides, run_mode=run_mode\n        )\n        self._print_defaults_tree(config_name=config_name, overrides=overrides)\n        self._print_defaults_list(config_name=config_name, overrides=overrides)\n\n        cfg = run_and_report(\n            lambda: self.compose_config(\n                config_name=config_name,\n                overrides=overrides,\n                run_mode=run_mode,\n                with_log_configuration=False,\n            )\n        )\n        HydraConfig.instance().set_config(cfg)\n        self._log_header(header=\"Config\", filler=\"*\")\n        with flag_override(cfg, [\"struct\", \"readonly\"], [False, False]):\n            del cfg[\"hydra\"]\n        log.info(OmegaConf.to_yaml(cfg))", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra._print_defaults_list_Hydra._print_defaults_list.self__log_footer_header_h": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra._print_defaults_list_Hydra._print_defaults_list.self__log_footer_header_h", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 512, "end_line": 564, "span_ids": ["Hydra._print_defaults_list"], "tokens": 358}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    def _print_defaults_list(\n        self,\n        config_name: Optional[str],\n        overrides: List[str],\n        run_mode: RunMode = RunMode.RUN,\n    ) -> None:\n        assert log is not None\n        defaults = self.config_loader.compute_defaults_list(\n            config_name=config_name,\n            overrides=overrides,\n            run_mode=run_mode,\n        )\n\n        box: List[List[str]] = [\n            [\n                \"Config path\",\n                \"Package\",\n                \"_self_\",\n                \"Parent\",\n            ]\n        ]\n        for d in defaults.defaults:\n            row = [\n                d.config_path,\n                d.package,\n                \"True\" if d.is_self else \"False\",\n                d.parent,\n            ]\n            row = [x if x is not None else \"\" for x in row]\n            box.append(row)\n        padding = get_column_widths(box)\n        del box[0]\n        log.debug(\"\")\n        self._log_header(\"Defaults List\", filler=\"*\")\n        header = \"| {} | {} | {} | {} | \".format(\n            \"Config path\".ljust(padding[0]),\n            \"Package\".ljust(padding[1]),\n            \"_self_\".ljust(padding[2]),\n            \"Parent\".ljust(padding[3]),\n        )\n        self._log_header(header=header, filler=\"-\")\n\n        for row in box:\n            log.debug(\n                \"| {} | {} | {} | {} |\".format(\n                    row[0].ljust(padding[0]),\n                    row[1].ljust(padding[1]),\n                    row[2].ljust(padding[2]),\n                    row[3].ljust(padding[3]),\n                )\n            )\n\n        self._log_footer(header=header, filler=\"-\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra._print_plugins_info_Hydra._print_all_info.self__print_config_info_c": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra._print_plugins_info_Hydra._print_all_info.self__print_config_info_c", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 608, "end_line": 628, "span_ids": ["Hydra._print_plugins_info", "Hydra._print_all_info"], "tokens": 145}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    def _print_plugins_info(\n        self,\n        config_name: Optional[str],\n        overrides: List[str],\n        run_mode: RunMode = RunMode.RUN,\n    ) -> None:\n        self._print_plugins()\n        self._print_plugins_profiling_info(top_n=10)\n\n    def _print_all_info(\n        self,\n        config_name: Optional[str],\n        overrides: List[str],\n        run_mode: RunMode = RunMode.RUN,\n    ) -> None:\n\n        from .. import __version__\n\n        self._log_header(f\"Hydra {__version__}\", filler=\"=\")\n        self._print_plugins()\n        self._print_config_info(config_name, overrides, run_mode)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra._print_defaults_tree_impl_Hydra._print_defaults_tree_impl.if_isinstance_tree_Defau.else_.log_info_pad_to_str_tre": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra._print_defaults_tree_impl_Hydra._print_defaults_tree_impl.if_isinstance_tree_Defau.else_.log_info_pad_to_str_tre", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 572, "end_line": 603, "span_ids": ["Hydra._print_defaults_tree_impl"], "tokens": 246}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    def _print_defaults_tree_impl(\n        self,\n        tree: Union[DefaultsTreeNode, InputDefault],\n        indent: int = 0,\n    ) -> None:\n        assert log is not None\n        from ..core.default_element import GroupDefault, InputDefault, VirtualRoot\n\n        def to_str(node: InputDefault) -> str:\n            if isinstance(node, VirtualRoot):\n                return node.get_config_path()\n            elif isinstance(node, GroupDefault):\n                name = node.get_name()\n                if name is None:\n                    name = \"null\"\n                return node.get_override_key() + \": \" + name\n            else:\n                return node.get_config_path()\n\n        pad = \"  \" * indent\n\n        if isinstance(tree, DefaultsTreeNode):\n            node_str = to_str(tree.node)\n            if tree.children is not None and len(tree.children) > 0:\n                log.info(pad + node_str + \":\")\n                for child in tree.children:\n                    self._print_defaults_tree_impl(tree=child, indent=indent + 1)\n            else:\n                log.info(pad + node_str)\n        else:\n            assert isinstance(tree, InputDefault)\n            log.info(pad + to_str(tree))", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra._print_defaults_tree_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra._print_defaults_tree_", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 663, "end_line": 705, "span_ids": ["Hydra._print_defaults_tree", "Hydra.show_info"], "tokens": 296}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    def _print_defaults_tree(\n        self,\n        config_name: Optional[str],\n        overrides: List[str],\n        run_mode: RunMode = RunMode.RUN,\n    ) -> None:\n        assert log is not None\n        defaults = self.config_loader.compute_defaults_list(\n            config_name=config_name,\n            overrides=overrides,\n            run_mode=run_mode,\n        )\n        log.info(\"\")\n        self._log_header(\"Defaults Tree\", filler=\"*\")\n        self._print_defaults_tree_impl(defaults.defaults_tree)\n\n    def show_info(\n        self,\n        info: str,\n        config_name: Optional[str],\n        overrides: List[str],\n        run_mode: RunMode = RunMode.RUN,\n    ) -> None:\n        options = {\n            \"all\": self._print_all_info,\n            \"defaults\": self._print_defaults_list,\n            \"defaults-tree\": self._print_defaults_tree,\n            \"config\": self._print_config_info,\n            \"plugins\": self._print_plugins_info,\n            \"searchpath\": self._print_search_path,\n        }\n        simple_stdout_log_config(level=logging.DEBUG)\n        global log\n        log = logging.getLogger(__name__)\n\n        if info not in options:\n            opts = sorted(options.keys())\n            log.error(f\"Info usage: --info [{'|'.join(opts)}]\")\n        else:\n            options[info](\n                config_name=config_name, overrides=overrides, run_mode=run_mode\n            )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/instantiate/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/instantiate/__init__.py__", "embedding": null, "metadata": {"file_path": "hydra/_internal/instantiate/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/instantiate/_instantiate2.py_copy__extract_pos_args.return.output_args_kwargs": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/instantiate/_instantiate2.py_copy__extract_pos_args.return.output_args_kwargs", "embedding": null, "metadata": {"file_path": "hydra/_internal/instantiate/_instantiate2.py", "file_name": "_instantiate2.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 47, "span_ids": ["_is_target", "_Keys", "_extract_pos_args", "docstring"], "tokens": 291}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import copy\nimport functools\nfrom enum import Enum\nfrom textwrap import dedent\nfrom typing import Any, Callable, Dict, List, Sequence, Tuple, Union\n\nfrom omegaconf import OmegaConf, SCMode\nfrom omegaconf._utils import is_structured_config\n\nfrom hydra._internal.utils import _locate\nfrom hydra.errors import InstantiationException\nfrom hydra.types import ConvertMode, TargetConf\n\n\nclass _Keys(str, Enum):\n    \"\"\"Special keys in configs used by instantiate.\"\"\"\n\n    TARGET = \"_target_\"\n    CONVERT = \"_convert_\"\n    RECURSIVE = \"_recursive_\"\n    ARGS = \"_args_\"\n    PARTIAL = \"_partial_\"\n\n\ndef _is_target(x: Any) -> bool:\n    if isinstance(x, dict):\n        return \"_target_\" in x\n    if OmegaConf.is_dict(x):\n        return \"_target_\" in x\n    return False\n\n\ndef _extract_pos_args(input_args: Any, kwargs: Any) -> Tuple[Any, Any]:\n    config_args = kwargs.pop(_Keys.ARGS, ())\n    output_args = config_args\n\n    if isinstance(config_args, Sequence):\n        if len(input_args) > 0:\n            output_args = input_args\n    else:\n        raise InstantiationException(\n            f\"Unsupported _args_ type: '{type(config_args).__name__}'. value: '{config_args}'\"\n        )\n\n    return output_args, kwargs", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_is_under_debugger_create_automatic_config_search_path.return.create_config_search_path": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_is_under_debugger_create_automatic_config_search_path.return.create_config_search_path", "embedding": null, "metadata": {"file_path": "hydra/_internal/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 160, "end_line": 182, "span_ids": ["is_under_debugger", "create_automatic_config_search_path"], "tokens": 157}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def is_under_debugger() -> bool:\n    \"\"\"\n    Attempts to detect if running under a debugger\n    \"\"\"\n    frames = inspect.stack()\n    if len(frames) >= 3:\n        filename = frames[-3].filename\n        if filename.endswith(\"/pdb.py\"):\n            return True\n        elif filename.endswith(\"/pydevd.py\"):\n            return True\n\n    # unknown debugging will sometimes set sys.trace\n    return sys.gettrace() is not None\n\n\ndef create_automatic_config_search_path(\n    calling_file: Optional[str],\n    calling_module: Optional[str],\n    config_path: Optional[str],\n) -> ConfigSearchPath:\n    search_path_dir = compute_search_path_dir(calling_file, calling_module, config_path)\n    return create_config_search_path(search_path_dir)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_create_config_search_path__is_env_set.return.name_in_os_environ_and_os": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_create_config_search_path__is_env_set.return.name_in_os_environ_and_os", "embedding": null, "metadata": {"file_path": "hydra/_internal/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 185, "end_line": 207, "span_ids": ["create_config_search_path", "_is_env_set"], "tokens": 171}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def create_config_search_path(search_path_dir: Optional[str]) -> ConfigSearchPath:\n    from hydra.core.plugins import Plugins\n    from hydra.plugins.search_path_plugin import SearchPathPlugin\n\n    search_path = ConfigSearchPathImpl()\n    search_path.append(\"hydra\", \"pkg://hydra.conf\")\n\n    if search_path_dir is not None:\n        search_path.append(\"main\", search_path_dir)\n\n    search_path_plugins = Plugins.instance().discover(SearchPathPlugin)\n    for spp in search_path_plugins:\n        plugin = spp()\n        assert isinstance(plugin, SearchPathPlugin)\n        plugin.manipulate_search_path(search_path)\n\n    search_path.append(\"schema\", \"structured://\")\n\n    return search_path\n\n\ndef _is_env_set(name: str) -> bool:\n    return name in os.environ and os.environ[name] == \"1\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_get_args_get_column_widths.return.widths": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py_get_args_get_column_widths.return.widths", "embedding": null, "metadata": {"file_path": "hydra/_internal/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 525, "end_line": 538, "span_ids": ["get_column_widths", "get_args"], "tokens": 111}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def get_args(args: Optional[Sequence[str]] = None) -> Any:\n    return get_args_parser().parse_args(args=args)\n\n\ndef get_column_widths(matrix: List[List[str]]) -> List[int]:\n    num_cols = 0\n    for row in matrix:\n        num_cols = max(num_cols, len(row))\n    widths: List[int] = [0] * num_cols\n    for row in matrix:\n        for idx, col in enumerate(row):\n            widths[idx] = max(widths[idx], len(col))\n\n    return widths", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py__locate_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py__locate_", "embedding": null, "metadata": {"file_path": "hydra/_internal/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 609, "end_line": 674, "span_ids": ["_locate", "_get_cls_name"], "tokens": 533}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _locate(path: str) -> Any:\n    \"\"\"\n    Locate an object by name or dotted path, importing as necessary.\n    This is similar to the pydoc function `locate`, except that it checks for\n    the module from the given path from back to front.\n    \"\"\"\n    if path == \"\":\n        raise ImportError(\"Empty path\")\n    from importlib import import_module\n    from types import ModuleType\n\n    parts = [part for part in path.split(\".\")]\n    for part in parts:\n        if not len(part):\n            raise ValueError(\n                f\"Error loading '{path}': invalid dotstring.\"\n                + \"\\nRelative imports are not supported.\"\n            )\n    assert len(parts) > 0\n    part0 = parts[0]\n    try:\n        obj = import_module(part0)\n    except Exception as exc_import:\n        raise ImportError(\n            f\"Error loading '{path}':\\n{repr(exc_import)}\"\n            + f\"\\nAre you sure that module '{part0}' is installed?\"\n        ) from exc_import\n    for m in range(1, len(parts)):\n        part = parts[m]\n        try:\n            obj = getattr(obj, part)\n        except AttributeError as exc_attr:\n            parent_dotpath = \".\".join(parts[:m])\n            if isinstance(obj, ModuleType):\n                mod = \".\".join(parts[: m + 1])\n                try:\n                    obj = import_module(mod)\n                    continue\n                except ModuleNotFoundError as exc_import:\n                    raise ImportError(\n                        f\"Error loading '{path}':\\n{repr(exc_import)}\"\n                        + f\"\\nAre you sure that '{part}' is importable from module '{parent_dotpath}'?\"\n                    ) from exc_import\n                except Exception as exc_import:\n                    raise ImportError(\n                        f\"Error loading '{path}':\\n{repr(exc_import)}\"\n                    ) from exc_import\n            raise ImportError(\n                f\"Error loading '{path}':\\n{repr(exc_attr)}\"\n                + f\"\\nAre you sure that '{part}' is an attribute of '{parent_dotpath}'?\"\n            ) from exc_attr\n    return obj\n\n\ndef _get_cls_name(config: Any, pop: bool = True) -> str:\n    if \"_target_\" not in config:\n        raise InstantiationException(\"Input config does not have a `_target_` field\")\n\n    if pop:\n        classname = config.pop(\"_target_\")\n    else:\n        classname = config[\"_target_\"]\n    if not isinstance(classname, str):\n        raise InstantiationException(\"_target_ field type must be a string\")\n    return classname", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/conf/__init__.py__job_runtime_information_RuntimeConf.choices.field_default_factory_lam": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/conf/__init__.py__job_runtime_information_RuntimeConf.choices.field_default_factory_lam", "embedding": null, "metadata": {"file_path": "hydra/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 44, "end_line": 106, "span_ids": ["OverridesConf", "JobConf.JobConfig", "JobConf:19", "RuntimeConf", "JobConf", "JobConf.JobConfig:2", "ConfigSourceInfo", "JobConf.JobConfig.OverrideDirname"], "tokens": 445}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# job runtime information will be populated here\n@dataclass\nclass JobConf:\n    # Job name, populated automatically unless specified by the user (in config or cli)\n    name: str = MISSING\n\n    # Change current working dir to the output dir.\n    # Will be non-optional and default to False in Hydra 1.3\n    chdir: Optional[bool] = None\n\n    # Populated automatically by Hydra.\n    # Concatenation of job overrides that can be used as a part\n    # of the directory name.\n    # This can be configured via hydra.job.config.override_dirname\n    override_dirname: str = MISSING\n\n    # Job ID in underlying scheduling system\n    id: str = MISSING\n\n    # Job number if job is a part of a sweep\n    num: int = MISSING\n\n    # The config name used by the job\n    config_name: Optional[str] = MISSING\n\n    # Environment variables to set remotely\n    env_set: Dict[str, str] = field(default_factory=dict)\n    # Environment variables to copy from the launching machine\n    env_copy: List[str] = field(default_factory=list)\n\n    # Job config\n    @dataclass\n    class JobConfig:\n        @dataclass\n        # configuration for the ${hydra.job.override_dirname} runtime variable\n        class OverrideDirname:\n            kv_sep: str = \"=\"\n            item_sep: str = \",\"\n            exclude_keys: List[str] = field(default_factory=list)\n\n        override_dirname: OverrideDirname = OverrideDirname()\n\n    config: JobConfig = JobConfig()\n\n\n@dataclass\nclass ConfigSourceInfo:\n    path: str\n    schema: str\n    provider: str\n\n\n@dataclass\nclass RuntimeConf:\n    version: str = MISSING\n    version_base: str = MISSING\n    cwd: str = MISSING\n    config_sources: List[ConfigSourceInfo] = MISSING\n    output_dir: str = MISSING\n\n    # Composition choices dictionary\n    # Ideally, the value type would be Union[str, List[str], None]\n    choices: Dict[str, Any] = field(default_factory=lambda: {})", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_re_ResultDefault.__repr__.return.f_type_self___name___": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_re_ResultDefault.__repr__.return.f_type_self___name___", "embedding": null, "metadata": {"file_path": "hydra/core/default_element.py", "file_name": "default_element.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 41, "span_ids": ["ResultDefault.__repr__", "ResultDefault", "docstring"], "tokens": 281}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import re\nfrom dataclasses import dataclass, field\nfrom textwrap import dedent\nfrom typing import List, Optional, Pattern, Union\n\nfrom omegaconf import AnyNode, DictConfig, OmegaConf\nfrom omegaconf.errors import InterpolationResolutionError\n\nfrom hydra import version\nfrom hydra._internal.deprecation_warning import deprecation_warning\nfrom hydra.errors import ConfigCompositionException\n\n\n@dataclass\nclass ResultDefault:\n    config_path: Optional[str] = None\n    parent: Optional[str] = None\n    package: Optional[str] = None\n    is_self: bool = False\n    primary: bool = field(default=False, compare=False)\n\n    override_key: Optional[str] = field(default=None, compare=False)\n\n    def __repr__(self) -> str:\n        attrs = []\n        attr_names = \"config_path\", \"package\", \"parent\"\n        for attr in attr_names:\n            value = getattr(self, attr)\n            if value is not None:\n                attrs.append(f'{attr}=\"{value}\"')\n\n        flags = []\n        flag_names = [\"is_self\", \"primary\"]\n        for flag in flag_names:\n            value = getattr(self, flag)\n            if value:\n                flags.append(f\"{flag}=True\")\n\n        ret = f\"{','.join(attrs + flags)}\"\n        return f\"{type(self).__name__}({ret})\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_InputDefault_InputDefault.update_parent.if_self_package_is_not_No.if__group__in_self_pack.self.package.f__global__resolved_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_InputDefault_InputDefault.update_parent.if_self_package_is_not_No.if__group__in_self_pack.self.package.f__global__resolved_", "embedding": null, "metadata": {"file_path": "hydra/core/default_element.py", "file_name": "default_element.py", "file_type": "text/x-python", "category": "implementation", "start_line": 43, "end_line": 66, "span_ids": ["InputDefault", "InputDefault.is_self", "InputDefault.update_parent"], "tokens": 218}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass InputDefault:\n    package: Optional[str] = None\n    parent_base_dir: Optional[str] = field(default=None, compare=False, repr=False)\n    parent_package: Optional[str] = field(default=None, compare=False, repr=False)\n    package_header: Optional[str] = field(default=None, compare=False)\n    primary: bool = field(default=False, compare=False)\n\n    def is_self(self) -> bool:\n        raise NotImplementedError()\n\n    def update_parent(\n        self, parent_base_dir: Optional[str], parent_package: Optional[str]\n    ) -> None:\n        assert self.parent_package is None or self.parent_package == parent_package\n        assert self.parent_base_dir is None or self.parent_base_dir == parent_base_dir\n        self.parent_base_dir = parent_base_dir\n        self.parent_package = parent_package\n\n        if self.package is not None:\n            if \"_group_\" in self.package:\n                pkg = self.package\n                resolved = pkg.replace(\"_group_\", self.get_default_package())\n                self.package = f\"_global_.{resolved}\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_InputDefault.is_optional_InputDefault.is_deleted.if_deleted_in_self___di.else_.return.False": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_InputDefault.is_optional_InputDefault.is_deleted.if_deleted_in_self___di.else_.return.False", "embedding": null, "metadata": {"file_path": "hydra/core/default_element.py", "file_name": "default_element.py", "file_type": "text/x-python", "category": "implementation", "start_line": 68, "end_line": 111, "span_ids": ["InputDefault._get_parent_package", "InputDefault.is_virtual", "InputDefault.get_default_package", "InputDefault.is_deleted", "InputDefault.get_name", "InputDefault.get_config_path", "InputDefault._get_flags", "InputDefault.is_optional", "InputDefault._get_attributes", "InputDefault.get_group_path", "InputDefault._relative_group_path", "InputDefault.get_final_package"], "tokens": 264}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass InputDefault:\n\n    def is_optional(self) -> bool:\n        raise NotImplementedError()\n\n    def get_group_path(self) -> str:\n        raise NotImplementedError()\n\n    def get_config_path(self) -> str:\n        raise NotImplementedError()\n\n    def get_default_package(self) -> str:\n        return self.get_group_path().replace(\"/\", \".\")\n\n    def get_final_package(self, default_to_package_header: bool = True) -> str:\n        \"\"\"\n        :param default_to_package_header: if package is not present, fallback to package header\n        :return:\n        \"\"\"\n        raise NotImplementedError()\n\n    def _relative_group_path(self) -> str:\n        raise NotImplementedError()\n\n    def get_name(self) -> Optional[str]:\n        raise NotImplementedError()\n\n    def _get_attributes(self) -> List[str]:\n        raise NotImplementedError()\n\n    def _get_flags(self) -> List[str]:\n        raise NotImplementedError()\n\n    def _get_parent_package(self) -> Optional[str]:\n        ret = self.__dict__[\"parent_package\"]\n        assert ret is None or isinstance(ret, str)\n        return ret\n\n    def is_virtual(self) -> bool:\n        return False\n\n    def is_deleted(self) -> bool:\n        if \"deleted\" in self.__dict__:\n            return bool(self.__dict__[\"deleted\"])\n        else:\n            return False", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_InputDefault.set_package_header_InputDefault.set_package_header.self___dict___package_he": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_InputDefault.set_package_header_InputDefault.set_package_header.self___dict___package_he", "embedding": null, "metadata": {"file_path": "hydra/core/default_element.py", "file_name": "default_element.py", "file_type": "text/x-python", "category": "implementation", "start_line": 114, "end_line": 147, "span_ids": ["InputDefault.set_package_header"], "tokens": 286}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass InputDefault:\n\n    def set_package_header(self, package_header: Optional[str]) -> None:\n        assert self.__dict__[\"package_header\"] is None\n\n        if package_header is None:\n            return\n\n        if not version.base_at_least(\"1.2\"):\n            if \"_group_\" in package_header or \"_name_\" in package_header:\n                path = self.get_config_path()\n                url = \"https://hydra.cc/docs/next/upgrades/1.0_to_1.1/changes_to_package_header\"\n                deprecation_warning(\n                    message=dedent(\n                        f\"\"\"\\\n                        In '{path}': Usage of deprecated keyword in package header '# @package {package_header}'.\n                        See {url} for more information\"\"\"\n                    ),\n                )\n\n            if package_header == \"_group_\":\n                return\n\n        # package header is always interpreted as absolute.\n        # if it does not have a _global_ prefix, add it.\n        if package_header != \"_global_\" and not package_header.startswith(\"_global_.\"):\n            if package_header == \"\":\n                package_header = \"_global_\"\n            else:\n                package_header = f\"_global_.{package_header}\"\n\n        if not version.base_at_least(\"1.2\"):\n            package_header = package_header.replace(\n                \"_group_\", self.get_default_package()\n            )\n        self.__dict__[\"package_header\"] = package_header", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_InputDefault.get_package_header_InputDefault._get_final_package.if_lgi_1_.else_.return.ret_lgi_len__global__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_InputDefault.get_package_header_InputDefault._get_final_package.if_lgi_1_.else_.return.ret_lgi_len__global__", "embedding": null, "metadata": {"file_path": "hydra/core/default_element.py", "file_name": "default_element.py", "file_type": "text/x-python", "category": "implementation", "start_line": 149, "end_line": 192, "span_ids": ["InputDefault.get_package_header", "InputDefault._get_final_package", "InputDefault.get_package"], "tokens": 310}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass InputDefault:\n\n    def get_package_header(self) -> Optional[str]:\n        ret = self.__dict__[\"package_header\"]\n        assert ret is None or isinstance(ret, str)\n        return ret\n\n    def get_package(self, default_to_package_header: bool = True) -> Optional[str]:\n        if self.__dict__[\"package\"] is None and default_to_package_header:\n            ret = self.__dict__[\"package_header\"]\n        else:\n            ret = self.__dict__[\"package\"]\n        assert ret is None or isinstance(ret, str)\n        return ret\n\n    def _get_final_package(\n        self,\n        parent_package: Optional[str],\n        package: Optional[str],\n        name: Optional[str],\n    ) -> str:\n        assert parent_package is not None\n\n        if package is None:\n            package = self._relative_group_path().replace(\"/\", \".\")\n\n        if isinstance(name, str):\n            # name computation should be deferred to after the final config group choice is done\n\n            if not version.base_at_least(\"1.2\"):\n                if \"_name_\" in package:\n                    package = package.replace(\"_name_\", name)\n\n        if parent_package == \"\":\n            ret = package\n        else:\n            if package == \"\":\n                ret = parent_package\n            else:\n                ret = f\"{parent_package}.{package}\"\n\n        lgi = ret.rfind(\"_global_\")\n        if lgi == -1:\n            return ret\n        else:\n            return ret[lgi + len(\"_global_\") + 1 :]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_InputDefault.__repr___InputDefault.resolve_interpolation.raise_NotImplementedError": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_InputDefault.__repr___InputDefault.resolve_interpolation.raise_NotImplementedError", "embedding": null, "metadata": {"file_path": "hydra/core/default_element.py", "file_name": "default_element.py", "file_type": "text/x-python", "category": "implementation", "start_line": 190, "end_line": 226, "span_ids": ["InputDefault.is_missing", "InputDefault.is_interpolation", "InputDefault.resolve_interpolation", "InputDefault.__repr__"], "tokens": 242}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass InputDefault:\n\n    def __repr__(self) -> str:\n        attrs = []\n        attr_names = self._get_attributes()\n        for attr in attr_names:\n            value = getattr(self, attr)\n            if value is not None:\n                if isinstance(value, str):\n                    svalue = f'\"{value}\"'\n                else:\n                    svalue = value\n                attrs.append(f\"{attr}={svalue}\")\n\n        flags = []\n        flag_names = self._get_flags()\n        for flag in flag_names:\n            value = getattr(self, flag)\n            if value:\n                flags.append(f\"{flag}=True\")\n\n        ret = f\"{','.join(attrs)}\"\n\n        if len(flags) > 0:\n            ret = f\"{ret},{','.join(flags)}\"\n        return f\"{type(self).__name__}({ret})\"\n\n    def is_interpolation(self) -> bool:\n        raise NotImplementedError()\n\n    def is_missing(self) -> bool:\n        \"\"\"\n        True if the name of the config is '???'\n        :return:\n        \"\"\"\n        raise NotImplementedError()\n\n    def resolve_interpolation(self, known_choices: DictConfig) -> None:\n        raise NotImplementedError()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_ConfigDefault_ConfigDefault.get_group_path.if_not_absolute_.else_.return.group": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_ConfigDefault_ConfigDefault.get_group_path.if_not_absolute_.else_.return.group", "embedding": null, "metadata": {"file_path": "hydra/core/default_element.py", "file_name": "default_element.py", "file_type": "text/x-python", "category": "implementation", "start_line": 306, "end_line": 350, "span_ids": ["ConfigDefault.is_self", "ConfigDefault.is_optional", "ConfigDefault.__post_init__", "ConfigDefault", "ConfigDefault.get_group_path"], "tokens": 267}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass(repr=False)\nclass ConfigDefault(InputDefault):\n    path: Optional[str] = None\n    optional: bool = False\n    deleted: Optional[bool] = None\n\n    def __post_init__(self) -> None:\n        if self.is_self() and self.package is not None:\n            raise ValueError(\"_self_@PACKAGE is not supported\")\n        if self.package == \"_here_\":\n            self.package = \"\"\n\n    def is_self(self) -> bool:\n        return self.path == \"_self_\"\n\n    def is_optional(self) -> bool:\n        return self.optional\n\n    def get_group_path(self) -> str:\n        assert self.parent_base_dir is not None\n        assert self.path is not None\n\n        if self.path.startswith(\"/\"):\n            path = self.path[1:]\n            absolute = True\n        else:\n            path = self.path\n            absolute = False\n\n        idx = path.rfind(\"/\")\n        if idx == -1:\n            group = \"\"\n        else:\n            group = path[0:idx]\n\n        if not absolute:\n            if self.parent_base_dir == \"\":\n                return group\n            else:\n                if group == \"\":\n                    return f\"{self.parent_base_dir}\"\n                else:\n                    return f\"{self.parent_base_dir}/{group}\"\n        else:\n            return group", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_ConfigDefault.get_name__legacy_interpolation_pattern.re_compile_r_defaults_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_ConfigDefault.get_name__legacy_interpolation_pattern.re_compile_r_defaults_", "embedding": null, "metadata": {"file_path": "hydra/core/default_element.py", "file_name": "default_element.py", "file_type": "text/x-python", "category": "implementation", "start_line": 361, "end_line": 432, "span_ids": ["ConfigDefault.get_config_path", "ConfigDefault._relative_group_path", "ConfigDefault.is_external_append", "impl", "ConfigDefault._get_attributes", "ConfigDefault.get_name", "ConfigDefault.is_interpolation", "ConfigDefault.resolve_interpolation", "ConfigDefault.is_missing", "ConfigDefault._get_flags", "ConfigDefault.is_override", "ConfigDefault.get_final_package"], "tokens": 460}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass(repr=False)\nclass ConfigDefault(InputDefault):\n\n    def get_name(self) -> Optional[str]:\n        assert self.path is not None\n        idx = self.path.rfind(\"/\")\n        if idx == -1:\n            return self.path\n        else:\n            return self.path[idx + 1 :]\n\n    def get_config_path(self) -> str:\n        assert self.parent_base_dir is not None\n        assert self.path is not None\n        if self.path.startswith(\"/\"):\n            path = self.path[1:]\n            absolute = True\n        else:\n            path = self.path\n            absolute = False\n\n        if not absolute:\n            if self.parent_base_dir == \"\":\n                return path\n            else:\n                return f\"{self.parent_base_dir}/{path}\"\n        else:\n            return path\n\n    def get_final_package(self, default_to_package_header: bool = True) -> str:\n        return self._get_final_package(\n            self.parent_package,\n            self.get_package(default_to_package_header),\n            self.get_name(),\n        )\n\n    def _relative_group_path(self) -> str:\n        assert self.path is not None\n        if self.path.startswith(\"/\"):\n            path = self.path[1:]\n        else:\n            path = self.path\n\n        idx = path.rfind(\"/\")\n        if idx == -1:\n            return \"\"\n        else:\n            return path[0:idx]\n\n    def _get_attributes(self) -> List[str]:\n        return [\"path\", \"package\", \"deleted\"]\n\n    def _get_flags(self) -> List[str]:\n        return [\"optional\"]\n\n    def is_interpolation(self) -> bool:\n        path = self.get_config_path()\n        node = AnyNode(path)\n        return node._is_interpolation()\n\n    def resolve_interpolation(self, known_choices: DictConfig) -> None:\n        path = self.get_config_path()\n        self.path = self._resolve_interpolation_impl(known_choices, path)\n\n    def is_missing(self) -> bool:\n        return self.get_name() == \"???\"\n\n    def is_override(self) -> bool:\n        return False\n\n    def is_external_append(self) -> bool:\n        return False\n\n\n_legacy_interpolation_pattern: Pattern[str] = re.compile(r\"\\${defaults\\.\\d\\.\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_GroupDefault_GroupDefault.is_interpolation.if_isinstance_name_str_.else_.return.False": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_GroupDefault_GroupDefault.is_interpolation.if_isinstance_name_str_.else_.return.False", "embedding": null, "metadata": {"file_path": "hydra/core/default_element.py", "file_name": "default_element.py", "file_type": "text/x-python", "category": "implementation", "start_line": 435, "end_line": 533, "span_ids": ["GroupDefault.is_options", "GroupDefault.get_final_package", "GroupDefault.get_group_path", "GroupDefault.is_optional", "GroupDefault.get_name", "GroupDefault._get_attributes", "GroupDefault", "GroupDefault.__post_init__", "GroupDefault.is_interpolation", "GroupDefault._relative_group_path", "GroupDefault.get_options", "GroupDefault.is_override", "GroupDefault.get_config_path", "GroupDefault.is_name", "GroupDefault.is_self", "GroupDefault._get_flags"], "tokens": 649}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass(repr=False)\nclass GroupDefault(InputDefault):\n    # config group name if present\n    group: Optional[str] = None\n    # config file name\n    value: Optional[Union[str, List[str]]] = None\n    optional: bool = False\n\n    override: bool = False\n    deleted: Optional[bool] = None\n\n    config_name_overridden: bool = field(default=False, compare=False, repr=False)\n    # True if this item was added using +foo=bar from the external overrides\n    external_append: bool = field(default=False, compare=False, repr=False)\n\n    def __post_init__(self) -> None:\n        assert self.group is not None and self.group != \"\"\n        if self.package == \"_here_\":\n            self.package = \"\"\n\n    def is_self(self) -> bool:\n        return self.value == \"_self_\"\n\n    def is_optional(self) -> bool:\n        return self.optional\n\n    def is_override(self) -> bool:\n        return self.override\n\n    def get_group_path(self) -> str:\n        assert self.parent_base_dir is not None\n        assert self.group is not None\n\n        if self.group.startswith(\"/\"):\n            group = self.group[1:]\n            absolute = True\n        else:\n            group = self.group\n            absolute = False\n\n        if self.parent_base_dir == \"\" or absolute:\n            return group\n        else:\n            return f\"{self.parent_base_dir}/{group}\"\n\n    def get_config_path(self) -> str:\n        group_path = self.get_group_path()\n        assert group_path != \"\"\n\n        return f\"{group_path}/{self.get_name()}\"\n\n    def is_name(self) -> bool:\n        return self.value is None or isinstance(self.value, str)\n\n    def is_options(self) -> bool:\n        return isinstance(self.value, list)\n\n    def get_name(self) -> Optional[str]:\n        assert self.value is None or isinstance(self.value, str)\n        return self.value\n\n    def get_options(self) -> List[str]:\n        assert isinstance(self.value, list)\n        return self.value\n\n    def get_final_package(self, default_to_package_header: bool = True) -> str:\n        name = self.get_name() if self.is_name() else None\n        return self._get_final_package(\n            self._get_parent_package(),\n            self.get_package(default_to_package_header=default_to_package_header),\n            name,\n        )\n\n    def _relative_group_path(self) -> str:\n        assert self.group is not None\n        if self.group.startswith(\"/\"):\n            return self.group[1:]\n        else:\n            return self.group\n\n    def _get_attributes(self) -> List[str]:\n        return [\"group\", \"value\", \"package\", \"deleted\"]\n\n    def _get_flags(self) -> List[str]:\n        return [\"optional\", \"override\"]\n\n    def is_interpolation(self) -> bool:\n        \"\"\"\n        True if config_name is an interpolation\n        \"\"\"\n        if not self.is_name():\n            return False\n\n        name = self.get_name()\n        if isinstance(name, str):\n            node = AnyNode(name)\n            return node._is_interpolation()\n        else:\n            return False", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_GroupDefault.resolve_interpolation_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_GroupDefault.resolve_interpolation_", "embedding": null, "metadata": {"file_path": "hydra/core/default_element.py", "file_name": "default_element.py", "file_type": "text/x-python", "category": "implementation", "start_line": 542, "end_line": 594, "span_ids": ["GroupDefault.is_external_append", "DefaultsTreeNode", "GroupDefault.is_missing", "GroupDefault.get_relative_override_key", "DefaultsTreeNode.parent_node", "GroupDefault.resolve_interpolation"], "tokens": 368}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass(repr=False)\nclass GroupDefault(InputDefault):\n\n    def resolve_interpolation(self, known_choices: DictConfig) -> None:\n        name = self.get_name()\n        if name is not None:\n            if re.match(_legacy_interpolation_pattern, name) is not None:\n                msg = dedent(\n                    f\"\"\"\nDefaults list element '{self.get_override_key()}={name}' is using a deprecated interpolation form.\nSee http://hydra.cc/docs/next/upgrades/1.0_to_1.1/defaults_list_interpolation for migration information.\"\"\"\n                )\n                if not version.base_at_least(\"1.2\"):\n                    deprecation_warning(\n                        message=msg,\n                    )\n                else:\n                    raise ConfigCompositionException(msg)\n\n            self.value = self._resolve_interpolation_impl(known_choices, name)\n\n    def is_missing(self) -> bool:\n        if self.is_name():\n            return self.get_name() == \"???\"\n        else:\n            return False\n\n    def get_relative_override_key(self) -> str:\n        assert self.group is not None\n        default_pkg = self.get_default_package()\n        key = self.group\n        if default_pkg != self.get_package() and self.package is not None:\n            key = f\"{key}@{self.package}\"\n        return key\n\n    def is_external_append(self) -> bool:\n        return self.external_append\n\n\n@dataclass\nclass DefaultsTreeNode:\n    node: InputDefault\n    children: Optional[List[Union[\"DefaultsTreeNode\", InputDefault]]] = None\n\n    parent: Optional[\"DefaultsTreeNode\"] = field(\n        default=None,\n        repr=False,\n        compare=False,\n    )\n\n    def parent_node(self) -> Optional[InputDefault]:\n        if self.parent is None:\n            return None\n        else:\n            return self.parent.node", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_visitor.py_HydraOverrideVisitor_HydraOverrideVisitor.visitKey.return.Key_key_or_group_key_pac": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_visitor.py_HydraOverrideVisitor_HydraOverrideVisitor.visitKey.return.Key_key_or_group_key_pac", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/overrides_visitor.py", "file_name": "overrides_visitor.py", "file_type": "text/x-python", "category": "implementation", "start_line": 38, "end_line": 65, "span_ids": ["HydraOverrideVisitor.visitPackage", "HydraOverrideVisitor.visitKey", "HydraOverrideVisitor.visitPackageOrGroup", "HydraOverrideVisitor.__init__", "HydraOverrideVisitor"], "tokens": 217}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class HydraOverrideVisitor(OverrideParserVisitor):  # type: ignore\n    def __init__(self, functions: Functions):\n        self.functions = functions\n\n    def visitPackage(self, ctx: OverrideParser.PackageContext) -> str:\n        return ctx.getText()  # type: ignore\n\n    def visitPackageOrGroup(self, ctx: OverrideParser.PackageOrGroupContext) -> str:\n        return ctx.getText()  # type: ignore\n\n    def visitKey(self, ctx: OverrideParser.KeyContext) -> Key:\n        # key : packageOrGroup (AT package)?\n\n        nc = ctx.getChildCount()\n        package = None\n        if nc == 1:\n            # packageOrGroup\n            key = ctx.getChild(0).getText()\n        elif nc > 1:\n            key = ctx.getChild(0).getText()\n            if ctx.getChild(1).symbol.text == \"@\":\n                package = ctx.getChild(2).getText()\n            else:\n                assert False\n        else:\n            assert False\n\n        return Key(key_or_group=key, package=package)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_visitor.py_HydraOverrideVisitor.is_ws_HydraOverrideVisitor.visitValue.assert_False": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_visitor.py_HydraOverrideVisitor.is_ws_HydraOverrideVisitor.visitValue.assert_False", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/overrides_visitor.py", "file_name": "overrides_visitor.py", "file_type": "text/x-python", "category": "implementation", "start_line": 67, "end_line": 134, "span_ids": ["HydraOverrideVisitor.visitPrimitive", "HydraOverrideVisitor.visitDictKey", "HydraOverrideVisitor.is_ws", "HydraOverrideVisitor.visitElement", "HydraOverrideVisitor.visitDictContainer", "HydraOverrideVisitor.visitListContainer", "HydraOverrideVisitor.visitValue", "HydraOverrideVisitor.visitDictKeyValuePair"], "tokens": 552}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class HydraOverrideVisitor(OverrideParserVisitor):\n\n    def is_ws(self, c: Any) -> bool:\n        return isinstance(c, TerminalNodeImpl) and c.symbol.type == OverrideLexer.WS\n\n    def visitPrimitive(\n        self, ctx: OverrideParser.PrimitiveContext\n    ) -> Optional[Union[QuotedString, int, bool, float, str]]:\n        return self._createPrimitive(ctx)\n\n    def visitListContainer(\n        self, ctx: OverrideParser.ListContainerContext\n    ) -> List[ParsedElementType]:\n        ret: List[ParsedElementType] = []\n\n        idx = 0\n        while True:\n            element = ctx.element(idx)\n            if element is None:\n                break\n            else:\n                idx = idx + 1\n                ret.append(self.visitElement(element))\n        return ret\n\n    def visitDictContainer(\n        self, ctx: OverrideParser.DictContainerContext\n    ) -> Dict[str, ParsedElementType]:\n        assert self.is_matching_terminal(ctx.getChild(0), OverrideLexer.BRACE_OPEN)\n        return dict(\n            self.visitDictKeyValuePair(ctx.getChild(i))\n            for i in range(1, ctx.getChildCount() - 1, 2)\n        )\n\n    def visitDictKey(self, ctx: OverrideParser.DictKeyContext) -> Any:\n        return self._createPrimitive(ctx)\n\n    def visitDictKeyValuePair(\n        self, ctx: OverrideParser.DictKeyValuePairContext\n    ) -> Tuple[str, ParsedElementType]:\n        children = ctx.getChildren()\n        item = next(children)\n        assert isinstance(item, OverrideParser.DictKeyContext)\n        pkey = self.visitDictKey(item)\n        assert self.is_matching_terminal(next(children), OverrideLexer.COLON)\n        value = next(children)\n        assert isinstance(value, OverrideParser.ElementContext)\n        return pkey, self.visitElement(value)\n\n    def visitElement(self, ctx: OverrideParser.ElementContext) -> ParsedElementType:\n        assert isinstance(ctx, OverrideParser.ElementContext)\n        if ctx.function():\n            return self.visitFunction(ctx.function())  # type: ignore\n        elif ctx.primitive():\n            return self.visitPrimitive(ctx.primitive())\n        elif ctx.listContainer():\n            return self.visitListContainer(ctx.listContainer())\n        elif ctx.dictContainer():\n            return self.visitDictContainer(ctx.dictContainer())\n        else:\n            assert False\n\n    def visitValue(\n        self, ctx: OverrideParser.ValueContext\n    ) -> Union[ChoiceSweep, RangeSweep, IntervalSweep, ParsedElementType]:\n        if ctx.element():\n            return self.visitElement(ctx.element())\n        elif ctx.simpleChoiceSweep() is not None:\n            return self.visitSimpleChoiceSweep(ctx.simpleChoiceSweep())\n        assert False", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_visitor.py_HydraOverrideVisitor._createPrimitive_HydraOverrideVisitor._createPrimitive.return.ret": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_visitor.py_HydraOverrideVisitor._createPrimitive_HydraOverrideVisitor._createPrimitive.return.ret", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/overrides_visitor.py", "file_name": "overrides_visitor.py", "file_type": "text/x-python", "category": "implementation", "start_line": 244, "end_line": 309, "span_ids": ["HydraOverrideVisitor._createPrimitive"], "tokens": 540}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class HydraOverrideVisitor(OverrideParserVisitor):\n\n    def _createPrimitive(\n        self, ctx: ParserRuleContext\n    ) -> Optional[Union[QuotedString, int, bool, float, str]]:\n        ret: Optional[Union[int, bool, float, str]]\n        first_idx = 0\n        last_idx = ctx.getChildCount()\n        # skip first if whitespace\n        if self.is_ws(ctx.getChild(0)):\n            if last_idx == 1:\n                # Only whitespaces => this is not allowed.\n                raise HydraException(\n                    \"Trying to parse a primitive that is all whitespaces\"\n                )\n            first_idx = 1\n        if self.is_ws(ctx.getChild(-1)):\n            last_idx = last_idx - 1\n        num = last_idx - first_idx\n        if num > 1:\n            # Concatenate, while un-escaping as needed.\n            tokens = []\n            for i, n in enumerate(ctx.getChildren()):\n                if n.symbol.type == OverrideLexer.WS and (\n                    i < first_idx or i >= last_idx\n                ):\n                    # Skip leading / trailing whitespaces.\n                    continue\n                tokens.append(\n                    n.symbol.text[1::2]  # un-escape by skipping every other char\n                    if n.symbol.type == OverrideLexer.ESC\n                    else n.symbol.text\n                )\n            ret = \"\".join(tokens)\n        else:\n            node = ctx.getChild(first_idx)\n            if node.symbol.type == OverrideLexer.QUOTED_VALUE:\n                text = node.getText()\n                qc = text[0]\n                if qc == \"'\":\n                    quote = Quote.single\n                elif qc == '\"':\n                    quote = Quote.double\n                else:\n                    assert False\n                text = self._unescape_quoted_string(text)\n                return QuotedString(text=text, quote=quote)\n            elif node.symbol.type in (OverrideLexer.ID, OverrideLexer.INTERPOLATION):\n                ret = node.symbol.text\n            elif node.symbol.type == OverrideLexer.INT:\n                ret = int(node.symbol.text)\n            elif node.symbol.type == OverrideLexer.FLOAT:\n                ret = float(node.symbol.text)\n            elif node.symbol.type == OverrideLexer.NULL:\n                ret = None\n            elif node.symbol.type == OverrideLexer.BOOL:\n                text = node.getText().lower()\n                if text == \"true\":\n                    ret = True\n                elif text == \"false\":\n                    ret = False\n                else:\n                    assert False\n            elif node.symbol.type == OverrideLexer.ESC:\n                ret = node.symbol.text[1::2]\n            else:\n                return node.getText()  # type: ignore\n        return ret", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py__Ideally_we_would_use_Li_Key.package.None": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py__Ideally_we_would_use_Li_Key.package.None", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/types.py", "file_name": "types.py", "file_type": "text/x-python", "category": "implementation", "start_line": 148, "end_line": 175, "span_ids": ["Key", "IntervalSweep.__eq__", "impl", "ValueType", "OverrideType"], "tokens": 188}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Ideally we would use List[ElementType] and Dict[str, ElementType] but Python does not seem\n# to support recursive type definitions.\nElementType = Union[str, int, float, bool, List[Any], Dict[str, Any]]\nParsedElementType = Optional[Union[ElementType, QuotedString]]\nTransformerType = Callable[[ParsedElementType], Any]\n\n\nclass OverrideType(Enum):\n    CHANGE = 1\n    ADD = 2\n    FORCE_ADD = 3\n    DEL = 4\n\n\nclass ValueType(Enum):\n    ELEMENT = 1\n    CHOICE_SWEEP = 2\n    GLOB_CHOICE_SWEEP = 3\n    SIMPLE_CHOICE_SWEEP = 4\n    RANGE_SWEEP = 5\n    INTERVAL_SWEEP = 6\n\n\n@dataclass\nclass Key:\n    # the config-group or config dot-path\n    key_or_group: str\n    package: Optional[str] = None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_Override_Override.is_force_add.return.self_type_OverrideType": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_Override_Override.is_force_add.return.self_type_OverrideType", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/types.py", "file_name": "types.py", "file_type": "text/x-python", "category": "implementation", "start_line": 216, "end_line": 255, "span_ids": ["Override", "Override.is_delete", "Override.is_add", "Override.is_force_add"], "tokens": 284}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass Override:\n    # The type of the override (Change, Add or Remove config option or config group choice)\n    type: OverrideType\n\n    # the config-group or config dot-path\n    key_or_group: str\n\n    # The type of the value, None if there is no value\n    value_type: Optional[ValueType]\n\n    # The parsed value (component after the =).\n    _value: Union[ParsedElementType, ChoiceSweep, RangeSweep, IntervalSweep]\n\n    # Optional qualifying package\n    package: Optional[str] = None\n\n    # Input line used to construct this\n    input_line: Optional[str] = None\n\n    # Configs repo\n    config_loader: Optional[ConfigLoader] = None\n\n    def is_delete(self) -> bool:\n        \"\"\"\n        :return: True if this override represents a deletion of a config value or config group option\n        \"\"\"\n        return self.type == OverrideType.DEL\n\n    def is_add(self) -> bool:\n        \"\"\"\n        :return: True if this override represents an addition of a config value or config group option\n        \"\"\"\n        return self.type == OverrideType.ADD\n\n    def is_force_add(self) -> bool:\n        \"\"\"\n        :return: True if this override represents a forced addition of a config value\n        \"\"\"\n        return self.type == OverrideType.FORCE_ADD", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_Override._convert_value_Override.value.if_isinstance_self__value.else_.return.Override__convert_value_s": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_Override._convert_value_Override.value.if_isinstance_self__value.else_.return.Override__convert_value_s", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/types.py", "file_name": "types.py", "file_type": "text/x-python", "category": "implementation", "start_line": 257, "end_line": 283, "span_ids": ["Override._convert_value", "Override.value"], "tokens": 211}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass Override:\n\n    @staticmethod\n    def _convert_value(value: ParsedElementType) -> Optional[ElementType]:\n        if isinstance(value, list):\n            return [Override._convert_value(x) for x in value]\n        elif isinstance(value, dict):\n\n            return {\n                # We ignore potential type mismatch here so as to let OmegaConf\n                # raise an explicit error in case of invalid type.\n                Override._convert_value(k): Override._convert_value(v)  # type: ignore\n                for k, v in value.items()\n            }\n        elif isinstance(value, QuotedString):\n            return value.text\n        else:\n            return value\n\n    def value(\n        self,\n    ) -> Optional[Union[ElementType, ChoiceSweep, RangeSweep, IntervalSweep]]:\n        \"\"\"\n        :return: the value. replaces Quoted strings by regular strings\n        \"\"\"\n        if isinstance(self._value, Sweep):\n            return self._value\n        else:\n            return Override._convert_value(self._value)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_Override.sweep_string_iterator_Override.get_key_element.return.f_get_prefix_get_key_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_Override.sweep_string_iterator_Override.get_key_element.return.f_get_prefix_get_key_", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/types.py", "file_name": "types.py", "file_type": "text/x-python", "category": "implementation", "start_line": 333, "end_line": 385, "span_ids": ["Override.is_discrete_sweep", "Override.sweep_string_iterator", "Override.get_key_element", "Override.is_sweep_override", "Override.is_interval_sweep", "Override.is_hydra_override", "Override.is_choice_sweep", "Override.is_range_sweep"], "tokens": 402}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass Override:\n\n    def sweep_string_iterator(self) -> Iterator[str]:\n        \"\"\"\n        Converts CHOICE_SWEEP, SIMPLE_CHOICE_SWEEP, GLOB_CHOICE_SWEEP and RANGE_SWEEP\n        to a List of strings that can be used in the value component of overrides (the\n        part after the =)\n        \"\"\"\n        iterator = cast(Iterator[str], self.sweep_iterator(transformer=Transformer.str))\n        return iterator\n\n    def is_sweep_override(self) -> bool:\n        return self.value_type is not None and self.value_type != ValueType.ELEMENT\n\n    def is_choice_sweep(self) -> bool:\n        return self.value_type in (\n            ValueType.SIMPLE_CHOICE_SWEEP,\n            ValueType.CHOICE_SWEEP,\n            ValueType.GLOB_CHOICE_SWEEP,\n        )\n\n    def is_discrete_sweep(self) -> bool:\n        \"\"\"\n        :return: true if this sweep can be enumerated\n        \"\"\"\n        return self.is_choice_sweep() or self.is_range_sweep()\n\n    def is_range_sweep(self) -> bool:\n        return self.value_type == ValueType.RANGE_SWEEP\n\n    def is_interval_sweep(self) -> bool:\n        return self.value_type == ValueType.INTERVAL_SWEEP\n\n    def is_hydra_override(self) -> bool:\n        kog = self.key_or_group\n        return kog.startswith(\"hydra.\") or kog.startswith(\"hydra/\")\n\n    def get_key_element(self) -> str:\n        def get_key() -> str:\n            if self.package is None:\n                return self.key_or_group\n            else:\n                return f\"{self.key_or_group}@{self.package}\"\n\n        def get_prefix() -> str:\n            if self.is_delete():\n                return \"~\"\n            elif self.is_add():\n                return \"+\"\n            elif self.is_force_add():\n                return \"++\"\n            else:\n                return \"\"\n\n        return f\"{get_prefix()}{get_key()}\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_Override.get_value_string_Override.get_value_element_as_str.return.Override__get_value_eleme": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_Override.get_value_string_Override.get_value_element_as_str.return.Override__get_value_eleme", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/types.py", "file_name": "types.py", "file_type": "text/x-python", "category": "implementation", "start_line": 428, "end_line": 451, "span_ids": ["Override.get_value_string", "Override.get_value_element_as_str"], "tokens": 217}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass Override:\n\n    def get_value_string(self) -> str:\n        \"\"\"\n        return the value component from the input as is (the part after the first =).\n        \"\"\"\n        assert self.input_line is not None\n        idx = self.input_line.find(\"=\")\n        if idx == -1:\n            raise ValueError(f\"No value component in {self.input_line}\")\n        else:\n            return self.input_line[idx + 1 :]\n\n    def get_value_element_as_str(self, space_after_sep: bool = False) -> str:\n        \"\"\"\n        Returns a string representation of the value in this override\n        (similar to the part after the = in the input string)\n        :param space_after_sep: True to append space after commas and colons\n        :return:\n        \"\"\"\n        if isinstance(self._value, Sweep):\n            # This should not be called for sweeps\n            raise HydraException(\"Cannot convert sweep to str\")\n        return Override._get_value_element_as_str(\n            self._value, space_after_sep=space_after_sep\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_Override.validate_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_Override.validate_", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/types.py", "file_name": "types.py", "file_type": "text/x-python", "category": "implementation", "start_line": 485, "end_line": 496, "span_ids": ["Override.validate"], "tokens": 113}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass Override:\n\n    def validate(self) -> None:\n        if not version.base_at_least(\"1.2\"):\n            if self.package is not None and \"_name_\" in self.package:\n                url = \"https://hydra.cc/docs/next/upgrades/1.0_to_1.1/changes_to_package_header\"\n                deprecation_warning(\n                    message=dedent(\n                        f\"\"\"\\\n                        In override {self.input_line}: _name_ keyword is deprecated in packages, see {url}\n                        \"\"\"\n                    ),\n                )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py_get_valid_filename_setup_globals.None_2": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py_get_valid_filename_setup_globals.None_2", "embedding": null, "metadata": {"file_path": "hydra/core/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 155, "end_line": 182, "span_ids": ["setup_globals", "get_valid_filename"], "tokens": 218}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def get_valid_filename(s: str) -> str:\n    s = str(s).strip().replace(\" \", \"_\")\n    return re.sub(r\"(?u)[^-\\w.]\", \"\", s)\n\n\ndef setup_globals() -> None:\n    # please add documentation when you add a new resolver\n    OmegaConf.register_new_resolver(\n        \"now\",\n        lambda pattern: datetime.now().strftime(pattern),\n        use_cache=True,\n        replace=True,\n    )\n    OmegaConf.register_new_resolver(\n        \"hydra\",\n        lambda path: OmegaConf.select(cast(DictConfig, HydraConfig.get()), path),\n        replace=True,\n    )\n\n    vi = sys.version_info\n    version_dict = {\n        \"major\": f\"{vi[0]}\",\n        \"minor\": f\"{vi[0]}.{vi[1]}\",\n        \"micro\": f\"{vi[0]}.{vi[1]}.{vi[2]}\",\n    }\n    OmegaConf.register_new_resolver(\n        \"python_version\", lambda level=\"minor\": version_dict.get(level), replace=True\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py_JobStatus_JobReturn.return_value_1.self._return_value.value": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py_JobStatus_JobReturn.return_value_1.self._return_value.value", "embedding": null, "metadata": {"file_path": "hydra/core/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 208, "end_line": 237, "span_ids": ["JobReturn", "JobReturn.return_value_1", "JobStatus", "JobReturn.return_value"], "tokens": 214}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class JobStatus(Enum):\n    UNKNOWN = 0\n    COMPLETED = 1\n    FAILED = 2\n\n\n@dataclass\nclass JobReturn:\n    overrides: Optional[Sequence[str]] = None\n    cfg: Optional[DictConfig] = None\n    hydra_cfg: Optional[DictConfig] = None\n    working_dir: Optional[str] = None\n    task_name: Optional[str] = None\n    status: JobStatus = JobStatus.UNKNOWN\n    _return_value: Any = None\n\n    @property\n    def return_value(self) -> Any:\n        assert self.status != JobStatus.UNKNOWN, \"return_value not yet available\"\n        if self.status == JobStatus.COMPLETED:\n            return self._return_value\n        else:\n            sys.stderr.write(\n                f\"Error executing job with overrides: {self.overrides}\" + os.linesep\n            )\n            raise self._return_value\n\n    @return_value.setter\n    def return_value(self, value: Any) -> None:\n        self._return_value = value", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py_JobRuntime_JobRuntime.set.self_conf_key_value": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py_JobRuntime_JobRuntime.set.self_conf_key_value", "embedding": null, "metadata": {"file_path": "hydra/core/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 216, "end_line": 229, "span_ids": ["JobRuntime", "JobRuntime.set", "JobRuntime.__init__", "JobRuntime.get"], "tokens": 133}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class JobRuntime(metaclass=Singleton):\n    def __init__(self) -> None:\n        self.conf: DictConfig = OmegaConf.create()\n        self.set(\"name\", \"UNKNOWN_NAME\")\n\n    def get(self, key: str) -> Any:\n        ret = OmegaConf.select(self.conf, key)\n        if ret is None:\n            raise KeyError(f\"Key not found in {type(self).__name__}: {key}\")\n        return ret\n\n    def set(self, key: str, value: Any) -> None:\n        log.debug(f\"Setting {type(self).__name__}:{key}={value}\")\n        self.conf[key] = value", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py_validate_config_path_validate_config_path.if_config_path_is_not_Non.if_split_file_1_in_ya.raise_ValueError_msg_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py_validate_config_path_validate_config_path.if_config_path_is_not_Non.if_split_file_1_in_ya.raise_ValueError_msg_", "embedding": null, "metadata": {"file_path": "hydra/core/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 232, "end_line": 242, "span_ids": ["validate_config_path"], "tokens": 110}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def validate_config_path(config_path: Optional[str]) -> None:\n    if config_path is not None:\n        split_file = splitext(config_path)\n        if split_file[1] in (\".yaml\", \".yml\"):\n            msg = dedent(\n                \"\"\"\\\n            Using config_path to specify the config name is not supported, specify the config name via config_name.\n            See https://hydra.cc/docs/next/upgrades/0.11_to_1.0/config_path_changes\n            \"\"\"\n            )\n            raise ValueError(msg)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/initialize.py_copy__UNSPECIFIED_.object_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/initialize.py_copy__UNSPECIFIED_.object_", "embedding": null, "metadata": {"file_path": "hydra/initialize.py", "file_name": "initialize.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 34, "span_ids": ["restore_gh_from_backup", "get_gh_backup", "impl", "docstring"], "tokens": 206}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import copy\nimport os\nfrom textwrap import dedent\nfrom typing import Any, Optional\n\nfrom hydra import version\nfrom hydra._internal.deprecation_warning import deprecation_warning\nfrom hydra._internal.hydra import Hydra\nfrom hydra._internal.utils import (\n    create_config_search_path,\n    detect_calling_file_or_module_from_stack_frame,\n    detect_task_name,\n)\nfrom hydra.core.global_hydra import GlobalHydra\nfrom hydra.core.singleton import Singleton\nfrom hydra.errors import HydraException\n\n\ndef get_gh_backup() -> Any:\n    if GlobalHydra in Singleton._instances:\n        return copy.deepcopy(Singleton._instances[GlobalHydra])\n    else:\n        return None\n\n\ndef restore_gh_from_backup(_gh_backup: Any) -> Any:\n    if _gh_backup is None:\n        del Singleton._instances[GlobalHydra]\n    else:\n        Singleton._instances[GlobalHydra] = _gh_backup\n\n\n_UNSPECIFIED_: Any = object()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/initialize.py_initialize_initialize.__repr__.return._hydra_initialize_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/initialize.py_initialize_initialize.__repr__.return._hydra_initialize_", "embedding": null, "metadata": {"file_path": "hydra/initialize.py", "file_name": "initialize.py", "file_type": "text/x-python", "category": "implementation", "start_line": 37, "end_line": 105, "span_ids": ["initialize", "initialize.__enter__", "initialize.__init__", "initialize.__exit__", "initialize.__repr__"], "tokens": 539}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class initialize:\n    \"\"\"\n    Initializes Hydra and add the config_path to the config search path.\n    config_path is relative to the parent of the caller.\n    Hydra detects the caller type automatically at runtime.\n\n    Supported callers:\n    - Python scripts\n    - Python modules\n    - Unit tests\n    - Jupyter notebooks.\n    :param config_path: path relative to the parent of the caller\n    :param job_name: the value for hydra.job.name (By default it is automatically detected based on the caller)\n    :param caller_stack_depth: stack depth of the caller, defaults to 1 (direct caller).\n    \"\"\"\n\n    def __init__(\n        self,\n        config_path: Optional[str] = _UNSPECIFIED_,\n        version_base: Optional[str] = _UNSPECIFIED_,\n        job_name: Optional[str] = None,\n        caller_stack_depth: int = 1,\n    ) -> None:\n        self._gh_backup = get_gh_backup()\n\n        version.setbase(version_base)\n\n        if config_path is _UNSPECIFIED_:\n            if version.base_at_least(\"1.2\"):\n                config_path = None\n            elif version_base is _UNSPECIFIED_:\n                url = \"https://hydra.cc/docs/next/upgrades/1.0_to_1.1/changes_to_hydra_main_config_path\"\n                deprecation_warning(\n                    message=dedent(\n                        f\"\"\"\\\n                    config_path is not specified in hydra.initialize().\n                    See {url} for more information.\"\"\"\n                    ),\n                    stacklevel=2,\n                )\n                config_path = \".\"\n            else:\n                config_path = \".\"\n\n        if config_path is not None and os.path.isabs(config_path):\n            raise HydraException(\"config_path in initialize() must be relative\")\n        calling_file, calling_module = detect_calling_file_or_module_from_stack_frame(\n            caller_stack_depth + 1\n        )\n        if job_name is None:\n            job_name = detect_task_name(\n                calling_file=calling_file, calling_module=calling_module\n            )\n\n        Hydra.create_main_hydra_file_or_module(\n            calling_file=calling_file,\n            calling_module=calling_module,\n            config_path=config_path,\n            job_name=job_name,\n        )\n\n    def __enter__(self, *args: Any, **kwargs: Any) -> None:\n        ...\n\n    def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:\n        restore_gh_from_backup(self._gh_backup)\n\n    def __repr__(self) -> str:\n        return \"hydra.initialize()\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/initialize.py_initialize_config_module_initialize_config_module.__repr__.return._hydra_initialize_config_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/initialize.py_initialize_config_module_initialize_config_module.__repr__.return._hydra_initialize_config_", "embedding": null, "metadata": {"file_path": "hydra/initialize.py", "file_name": "initialize.py", "file_type": "text/x-python", "category": "implementation", "start_line": 108, "end_line": 140, "span_ids": ["initialize_config_module.__repr__", "initialize_config_module.__enter__", "initialize_config_module.__exit__", "initialize_config_module", "initialize_config_module.__init__"], "tokens": 254}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class initialize_config_module:\n    \"\"\"\n    Initializes Hydra and add the config_module to the config search path.\n    The config module must be importable (an __init__.py must exist at its top level)\n    :param config_module: absolute module name, for example \"foo.bar.conf\".\n    :param job_name: the value for hydra.job.name (default is 'app')\n    \"\"\"\n\n    def __init__(\n        self,\n        config_module: str,\n        version_base: Optional[str] = _UNSPECIFIED_,\n        job_name: str = \"app\",\n    ):\n        self._gh_backup = get_gh_backup()\n\n        version.setbase(version_base)\n\n        Hydra.create_main_hydra_file_or_module(\n            calling_file=None,\n            calling_module=f\"{config_module}.{job_name}\",\n            config_path=None,\n            job_name=job_name,\n        )\n\n    def __enter__(self, *args: Any, **kwargs: Any) -> None:\n        ...\n\n    def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:\n        restore_gh_from_backup(self._gh_backup)\n\n    def __repr__(self) -> str:\n        return \"hydra.initialize_config_module()\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/initialize.py_initialize_config_dir_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/initialize.py_initialize_config_dir_", "embedding": null, "metadata": {"file_path": "hydra/initialize.py", "file_name": "initialize.py", "file_type": "text/x-python", "category": "implementation", "start_line": 143, "end_line": 180, "span_ids": ["initialize_config_dir", "initialize_config_dir.__enter__", "initialize_config_dir.__exit__", "initialize_config_dir.__init__", "initialize_config_dir.__repr__"], "tokens": 347}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class initialize_config_dir:\n    \"\"\"\n    Initializes Hydra and add an absolute config dir to the to the config search path.\n    The config_dir is always a path on the file system and is must be an absolute path.\n    Relative paths will result in an error.\n    :param config_dir: absolute file system path\n    :param job_name: the value for hydra.job.name (default is 'app')\n    \"\"\"\n\n    def __init__(\n        self,\n        config_dir: str,\n        version_base: Optional[str] = _UNSPECIFIED_,\n        job_name: str = \"app\",\n    ) -> None:\n        self._gh_backup = get_gh_backup()\n\n        version.setbase(version_base)\n\n        # Relative here would be interpreted as relative to cwd, which - depending on when it run\n        # may have unexpected meaning. best to force an absolute path to avoid confusion.\n        # Can consider using hydra.utils.to_absolute_path() to convert it at a future point if there is demand.\n        if not os.path.isabs(config_dir):\n            raise HydraException(\n                \"initialize_config_dir() requires an absolute config_dir as input\"\n            )\n        csp = create_config_search_path(search_path_dir=config_dir)\n        Hydra.create_main_hydra2(task_name=job_name, config_search_path=csp)\n\n    def __enter__(self, *args: Any, **kwargs: Any) -> None:\n        ...\n\n    def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:\n        restore_gh_from_backup(self._gh_backup)\n\n    def __repr__(self) -> str:\n        return \"hydra.initialize_config_dir()\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/main.py_main.main_decorator_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/main.py_main.main_decorator_", "embedding": null, "metadata": {"file_path": "hydra/main.py", "file_name": "main.py", "file_type": "text/x-python", "category": "implementation", "start_line": 75, "end_line": 101, "span_ids": ["main"], "tokens": 256}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def main(\n    config_path: Optional[str] = _UNSPECIFIED_,\n    config_name: Optional[str] = None,\n    version_base: Optional[str] = _UNSPECIFIED_,\n) -> Callable[[TaskFunction], Any]:\n    # ... other code\n\n    def main_decorator(task_function: TaskFunction) -> Callable[[], None]:\n        @functools.wraps(task_function)\n        def decorated_main(cfg_passthrough: Optional[DictConfig] = None) -> Any:\n            if cfg_passthrough is not None:\n                return task_function(cfg_passthrough)\n            else:\n                args_parser = get_args_parser()\n                args = args_parser.parse_args()\n                if args.experimental_rerun is not None:\n                    cfg = _get_rerun_conf(args.experimental_rerun, args.overrides)\n                    task_function(cfg)\n                    _flush_loggers()\n                else:\n                    # no return value from run_hydra() as it may sometime actually run the task_function\n                    # multiple times (--multirun)\n                    _run_hydra(\n                        args=args,\n                        args_parser=args_parser,\n                        task_function=task_function,\n                        config_path=config_path,\n                        config_name=config_name,\n                    )\n\n        return decorated_main\n\n    return main_decorator", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/config_source.py_ConfigSource_ConfigSource.__repr__.return.f_provider_self_provider": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/config_source.py_ConfigSource_ConfigSource.__repr__.return.f_provider_self_provider", "embedding": null, "metadata": {"file_path": "hydra/plugins/config_source.py", "file_name": "config_source.py", "file_type": "text/x-python", "category": "implementation", "start_line": 31, "end_line": 85, "span_ids": ["ConfigSource.scheme", "ConfigSource.list", "ConfigSource.__init__", "ConfigSource.exists", "ConfigSource", "ConfigSource.available", "ConfigSource.is_group", "ConfigSource.__str__", "ConfigSource.__repr__", "ConfigSource.is_config", "ConfigSource.load_config"], "tokens": 380}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSource(Plugin):\n    provider: str\n    path: str\n\n    def __init__(self, provider: str, path: str) -> None:\n        if not path.startswith(self.scheme()):\n            raise ValueError(\"Invalid path\")\n        self.provider = provider\n        self.path = path[len(self.scheme() + \"://\") :]\n\n    @staticmethod\n    @abstractmethod\n    def scheme() -> str:\n        \"\"\"\n        :return: the scheme for this config source, for example file:// or pkg://\n        \"\"\"\n        ...\n\n    @abstractmethod\n    def load_config(self, config_path: str) -> ConfigResult:\n        ...\n\n    # subclasses may override to improve performance\n    def exists(self, config_path: str) -> bool:\n        return self.is_group(config_path) or self.is_config(config_path)\n\n    @abstractmethod\n    def is_group(self, config_path: str) -> bool:\n        ...\n\n    @abstractmethod\n    def is_config(self, config_path: str) -> bool:\n        ...\n\n    @abstractmethod\n    def available(self) -> bool:\n        \"\"\"\n        :return: True is this config source is pointing to a valid location\n        \"\"\"\n        ...\n\n    def list(self, config_path: str, results_filter: Optional[ObjectType]) -> List[str]:\n        \"\"\"\n        List items under the specified config path\n        :param config_path: config path to list items in, examples: \"\", \"foo\", \"foo/bar\"\n        :param results_filter: None for all, GROUP for groups only and CONFIG for configs only\n        :return: a list of config or group identifiers (sorted and unique)\n        \"\"\"\n        ...\n\n    def __str__(self) -> str:\n        return repr(self)\n\n    def __repr__(self) -> str:\n        return f\"provider={self.provider}, path={self.scheme()}://{self.path}\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/config_source.py_ConfigSource.full_path_ConfigSource._normalize_file_name.return.filename": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/config_source.py_ConfigSource.full_path_ConfigSource._normalize_file_name.return.filename", "embedding": null, "metadata": {"file_path": "hydra/plugins/config_source.py", "file_name": "config_source.py", "file_type": "text/x-python", "category": "implementation", "start_line": 115, "end_line": 129, "span_ids": ["ConfigSource.full_path", "ConfigSource._normalize_file_name"], "tokens": 129}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSource(Plugin):\n\n    def full_path(self) -> str:\n        return f\"{self.scheme()}://{self.path}\"\n\n    @staticmethod\n    def _normalize_file_name(filename: str) -> str:\n        supported_extensions = [\".yaml\"]\n        if not version.base_at_least(\"1.2\"):\n            supported_extensions.append(\".yml\")\n            if filename.endswith(\".yml\"):\n                deprecation_warning(\n                    \"Support for .yml files is deprecated. Use .yaml extension for Hydra config files\"\n                )\n        if not any(filename.endswith(ext) for ext in supported_extensions):\n            filename += \".yaml\"\n        return filename", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/config_source.py_ConfigSource._get_header_dict_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/config_source.py_ConfigSource._get_header_dict_", "embedding": null, "metadata": {"file_path": "hydra/plugins/config_source.py", "file_name": "config_source.py", "file_type": "text/x-python", "category": "implementation", "start_line": 129, "end_line": 157, "span_ids": ["ConfigSource._get_header_dict"], "tokens": 253}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSource(Plugin):\n\n    @staticmethod\n    def _get_header_dict(config_text: str) -> Dict[str, Optional[str]]:\n        res: Dict[str, Optional[str]] = {}\n        for line in config_text.splitlines():\n            line = line.strip()\n            if len(line) == 0:\n                # skip empty lines in header\n                continue\n            if re.match(\"^\\\\s*#\\\\s*@\", line):\n                line = line.lstrip(\"#\").strip()\n                splits = re.split(\" \", line)\n                splits = list(filter(lambda x: len(x) > 0, splits))\n                if len(splits) < 2:\n                    raise ValueError(f\"Expected header format: KEY VALUE, got '{line}'\")\n                if len(splits) > 2:\n                    raise ValueError(f\"Too many components in '{line}'\")\n                key, val = splits[0], splits[1]\n                key = key.strip()\n                val = val.strip()\n                if key.startswith(\"@\"):\n                    res[key[1:]] = val\n            else:\n                # stop parsing header on first non-header line\n                break\n\n        if \"package\" not in res:\n            res[\"package\"] = None\n        return res", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/config_source_common_tests.py_from_typing_import_Any_L_ConfigSourceTestSuite.test_not_available.assert_not_src_available_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/config_source_common_tests.py_from_typing_import_Any_L_ConfigSourceTestSuite.test_not_available.assert_not_src_available_", "embedding": null, "metadata": {"file_path": "hydra/test_utils/config_source_common_tests.py", "file_name": "config_source_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 31, "span_ids": ["ConfigSourceTestSuite.test_not_available", "ConfigSourceTestSuite", "ConfigSourceTestSuite.skip_overlap_config_path_name", "docstring"], "tokens": 242}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Any, List, Optional, Type\n\nfrom pytest import mark, param, raises, skip\n\nfrom hydra.core.default_element import InputDefault\nfrom hydra.core.object_type import ObjectType\nfrom hydra.plugins.config_source import ConfigLoadError, ConfigSource\n\n\nclass ConfigSourceTestSuite:\n    def skip_overlap_config_path_name(self) -> bool:\n        \"\"\"\n        Some config source plugins do not support config name and path overlap.\n        For example the following may not be allowed:\n        (dataset exists both as a config object and a config group)\n        /dateset.yaml\n        /dataset/cifar.yaml\n\n        Overriding and returning True here will disable testing of this scenario\n        by assuming the dataset config (dataset.yaml) is not present.\n        \"\"\"\n        return False\n\n    def test_not_available(self, type_: Type[ConfigSource], path: str) -> None:\n        scheme = type_(provider=\"foo\", path=path).scheme()\n        # Test is meaningless for StructuredConfigSource\n        if scheme == \"structured\":\n            return\n        src = type_(provider=\"foo\", path=f\"{scheme}://___NOT_FOUND___\")\n        assert not src.available()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/config_source_common_tests.py_ConfigSourceTestSuite.test_is_group_ConfigSourceTestSuite.test_is_group.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/config_source_common_tests.py_ConfigSourceTestSuite.test_is_group_ConfigSourceTestSuite.test_is_group.assert_ret_expected", "embedding": null, "metadata": {"file_path": "hydra/test_utils/config_source_common_tests.py", "file_name": "config_source_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 33, "end_line": 56, "span_ids": ["ConfigSourceTestSuite.test_is_group"], "tokens": 227}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSourceTestSuite:\n\n    @mark.parametrize(\n        \"config_path, expected\",\n        [\n            param(\"\", True, id=\"empty\"),\n            param(\"dataset\", True, id=\"dataset\"),\n            param(\"optimizer\", True, id=\"optimizer\"),\n            param(\n                \"configs_with_defaults_list\",\n                True,\n                id=\"configs_with_defaults_list\",\n            ),\n            param(\"dataset/imagenet\", False, id=\"dataset/imagenet\"),\n            param(\"level1\", True, id=\"level1\"),\n            param(\"level1/level2\", True, id=\"level1/level2\"),\n            param(\"level1/level2/nested1\", False, id=\"level1/level2/nested1\"),\n            param(\"not_found\", False, id=\"not_found\"),\n        ],\n    )\n    def test_is_group(\n        self, type_: Type[ConfigSource], path: str, config_path: str, expected: bool\n    ) -> None:\n        src = type_(provider=\"foo\", path=path)\n        ret = src.is_group(config_path=config_path)\n        assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/config_source_common_tests.py_ConfigSourceTestSuite.test_is_config_with_overlap_name_ConfigSourceTestSuite.test_is_config_with_overlap_name.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/config_source_common_tests.py_ConfigSourceTestSuite.test_is_config_with_overlap_name_ConfigSourceTestSuite.test_is_config_with_overlap_name.assert_ret_expected", "embedding": null, "metadata": {"file_path": "hydra/test_utils/config_source_common_tests.py", "file_name": "config_source_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 81, "end_line": 97, "span_ids": ["ConfigSourceTestSuite.test_is_config_with_overlap_name"], "tokens": 138}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSourceTestSuite:\n\n    @mark.parametrize(\n        \"config_path, expected\",\n        [\n            (\"dataset\", True),\n        ],\n    )\n    def test_is_config_with_overlap_name(\n        self, type_: Type[ConfigSource], path: str, config_path: str, expected: bool\n    ) -> None:\n        if self.skip_overlap_config_path_name():\n            skip(\n                f\"ConfigSourcePlugin {type_.__name__} does not support config objects and config groups \"\n                f\"with overlapping names.\"\n            )\n        src = type_(provider=\"foo\", path=path)\n        ret = src.is_config(config_path=config_path)\n        assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/config_source_common_tests.py_ConfigSourceTestSuite.test_list_with_overlap_name_ConfigSourceTestSuite.test_list_with_overlap_name.assert_ret_sorted_ret_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/config_source_common_tests.py_ConfigSourceTestSuite.test_list_with_overlap_name_ConfigSourceTestSuite.test_list_with_overlap_name.assert_ret_sorted_ret_", "embedding": null, "metadata": {"file_path": "hydra/test_utils/config_source_common_tests.py", "file_name": "config_source_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 137, "end_line": 161, "span_ids": ["ConfigSourceTestSuite.test_list_with_overlap_name"], "tokens": 180}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSourceTestSuite:\n\n    @mark.parametrize(\n        \"config_path,results_filter,expected\",\n        [\n            # Configs\n            (\"\", ObjectType.CONFIG, [\"dataset\"]),\n        ],\n    )\n    def test_list_with_overlap_name(\n        self,\n        type_: Type[ConfigSource],\n        path: str,\n        config_path: str,\n        results_filter: Optional[ObjectType],\n        expected: List[str],\n    ) -> None:\n        if self.skip_overlap_config_path_name():\n            skip(\n                f\"ConfigSourcePlugin {type_.__name__} does not support config objects and config groups \"\n                f\"with overlapping names.\"\n            )\n        src = type_(provider=\"foo\", path=path)\n        ret = src.list(config_path=config_path, results_filter=results_filter)\n        for x in expected:\n            assert x in ret\n        assert ret == sorted(ret)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/config_source_common_tests.py_ConfigSourceTestSuite.test_source_load_config_ConfigSourceTestSuite.test_source_load_config.if_isinstance_expected_co.else_.with_expected_config_.src_load_config_config_pa": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/config_source_common_tests.py_ConfigSourceTestSuite.test_source_load_config_ConfigSourceTestSuite.test_source_load_config.if_isinstance_expected_co.else_.with_expected_config_.src_load_config_config_pa", "embedding": null, "metadata": {"file_path": "hydra/test_utils/config_source_common_tests.py", "file_name": "config_source_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 163, "end_line": 266, "span_ids": ["ConfigSourceTestSuite.test_source_load_config"], "tokens": 605}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigSourceTestSuite:\n\n    @mark.parametrize(\n        \"config_path,expected_config,expected_defaults_list,expected_package\",\n        [\n            param(\n                \"config_without_group\",\n                {\"group\": False},\n                None,\n                None,\n                id=\"config_without_group\",\n            ),\n            param(\n                \"config_with_unicode\",\n                {\"group\": \"\u6570\u636e\u5e93\"},\n                None,\n                None,\n                id=\"config_with_unicode\",\n            ),\n            param(\n                \"dataset/imagenet\",\n                {\"name\": \"imagenet\", \"path\": \"/datasets/imagenet\"},\n                None,\n                None,\n                id=\"dataset/imagenet\",\n            ),\n            param(\n                \"dataset/cifar10\",\n                {\"name\": \"cifar10\", \"path\": \"/datasets/cifar10\"},\n                None,\n                None,\n                id=\"dataset/cifar10\",\n            ),\n            param(\n                \"dataset/not_found\",\n                raises(ConfigLoadError),\n                None,\n                None,\n                id=\"dataset/not_found\",\n            ),\n            param(\n                \"level1/level2/nested1\",\n                {\"l1_l2_n1\": True},\n                None,\n                None,\n                id=\"level1/level2/nested1\",\n            ),\n            param(\n                \"level1/level2/nested2\",\n                {\"l1_l2_n2\": True},\n                None,\n                None,\n                id=\"level1/level2/nested2\",\n            ),\n            param(\n                \"config_with_defaults_list\",\n                {\n                    \"defaults\": [{\"dataset\": \"imagenet\"}],\n                    \"key\": \"value\",\n                },\n                None,\n                None,\n                id=\"config_with_defaults_list\",\n            ),\n            param(\n                \"configs_with_defaults_list/global_package\",\n                {\n                    \"defaults\": [{\"foo\": \"bar\"}],\n                    \"x\": 10,\n                },\n                None,\n                \"_global_\",\n                id=\"configs_with_defaults_list/global_package\",\n            ),\n            param(\n                \"configs_with_defaults_list/group_package\",\n                {\n                    \"defaults\": [{\"foo\": \"bar\"}],\n                    \"x\": 10,\n                },\n                None,\n                \"_group_\",\n                id=\"configs_with_defaults_list/group_package\",\n            ),\n        ],\n    )\n    def test_source_load_config(\n        self,\n        type_: Type[ConfigSource],\n        path: str,\n        config_path: str,\n        expected_defaults_list: List[InputDefault],\n        expected_package: Any,\n        expected_config: Any,\n        recwarn: Any,\n    ) -> None:\n        assert issubclass(type_, ConfigSource)\n        src = type_(provider=\"foo\", path=path)\n        if isinstance(expected_config, dict):\n            ret = src.load_config(config_path=config_path)\n            assert ret.config == expected_config\n            assert ret.header[\"package\"] == expected_package\n            assert ret.defaults_list == expected_defaults_list\n        else:\n            with expected_config:\n                src.load_config(config_path=config_path)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_LauncherTestSuite.test_not_sweeping_hydra_overrides_LauncherTestSuite.test_not_sweeping_hydra_overrides.with_raises_.with_hydra_sweep_runner_.pass": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_LauncherTestSuite.test_not_sweeping_hydra_overrides_LauncherTestSuite.test_not_sweeping_hydra_overrides.with_raises_.with_hydra_sweep_runner_.pass", "embedding": null, "metadata": {"file_path": "hydra/test_utils/launcher_common_tests.py", "file_name": "launcher_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 59, "end_line": 86, "span_ids": ["LauncherTestSuite.test_not_sweeping_hydra_overrides"], "tokens": 192}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"hydra_restore_singletons\")\nclass LauncherTestSuite:\n\n    def test_not_sweeping_hydra_overrides(\n        self,\n        hydra_sweep_runner: TSweepRunner,\n        launcher_name: str,\n        overrides: List[str],\n        tmpdir: Path,\n    ) -> None:\n        with raises(\n            HydraException,\n            match=re.escape(\n                \"Sweeping over Hydra's configuration is not supported : 'hydra.verbose=true,false'\"\n            ),\n        ):\n            with hydra_sweep_runner(\n                calling_file=None,\n                calling_module=\"hydra.test_utils.a_module\",\n                task_function=None,\n                config_path=\"configs\",\n                config_name=\"compose.yaml\",\n                overrides=overrides\n                + [\n                    \"hydra/launcher=\" + launcher_name,\n                    \"+a=0,1\",\n                    \"hydra.verbose=true,false\",\n                ],\n                temp_dir=tmpdir,\n            ):\n                pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_IntegrationTestSuite_IntegrationTestSuite.generate_custom_cmd.return.fun": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_IntegrationTestSuite_IntegrationTestSuite.generate_custom_cmd.return.fun", "embedding": null, "metadata": {"file_path": "hydra/test_utils/launcher_common_tests.py", "file_name": "launcher_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 430, "end_line": 460, "span_ids": ["IntegrationTestSuite.get_test_scratch_dir", "IntegrationTestSuite", "IntegrationTestSuite.get_test_app_working_dir", "IntegrationTestSuite.generate_custom_cmd"], "tokens": 231}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"hydra_restore_singletons\")\nclass IntegrationTestSuite:\n    def get_test_app_working_dir(self) -> Optional[Path]:\n        \"\"\"\n        By default test applications working dir is tmpdir, override this method if that's not the case.\n        This could be helpful when the tests kick off applications on remote machines.\n        \"\"\"\n        return None\n\n    def get_test_scratch_dir(self, tmpdir: Path) -> Path:\n        \"\"\"\n        By default test applications will use tmpdir provided by the\n        This can be customized by applications.\n        \"\"\"\n        return tmpdir\n\n    def generate_custom_cmd(self) -> Callable[..., List[str]]:\n        \"\"\"\n        By default this does nothing, but it allows custom execution commands.\n        Useful if the tests are not kicked off by python\n        \"\"\"\n\n        def fun(cmd: List[str], filename: str) -> List[str]:\n            \"\"\"\n            param cmd: old python commands in list of strings\n            param filename: file name to be executed as main hydra module\n            return: new commands to be executed in list of strings\n            \"\"\"\n            return cmd\n\n        return fun", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_IntegrationTestSuite.test_custom_task_name_IntegrationTestSuite.test_custom_task_name.integration_test_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/launcher_common_tests.py_IntegrationTestSuite.test_custom_task_name_IntegrationTestSuite.test_custom_task_name.integration_test_", "embedding": null, "metadata": {"file_path": "hydra/test_utils/launcher_common_tests.py", "file_name": "launcher_common_tests.py", "file_type": "text/x-python", "category": "test", "start_line": 462, "end_line": 513, "span_ids": ["IntegrationTestSuite.test_custom_task_name"], "tokens": 379}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"hydra_restore_singletons\")\nclass IntegrationTestSuite:\n\n    @mark.parametrize(\n        \"task_config, overrides, filename, expected_name\",\n        [\n            param(None, [], \"no_config.py\", \"no_config\", id=\"no_config\"),\n            param(\n                None,\n                [\"hydra.job.name=overridden_name\"],\n                \"no_config.py\",\n                \"overridden_name\",\n                id=\"different_filename\",\n            ),\n            param(\n                {\"hydra\": {\"job\": {\"name\": \"name_from_config_file\"}}},\n                [],\n                \"with_config.py\",\n                \"name_from_config_file\",\n                id=\"different_filename_and_config_file_name_override\",\n            ),\n            param(\n                {\"hydra\": {\"job\": {\"name\": \"name_from_config_file\"}}},\n                [\"hydra.job.name=overridden_name\"],\n                \"with_config.py\",\n                \"overridden_name\",\n                id=\"different_filename_and_config_file_name_override_and_command_line_override\",\n            ),\n        ],\n    )\n    def test_custom_task_name(\n        self,\n        tmpdir: Path,\n        task_config: DictConfig,\n        overrides: List[str],\n        filename: str,\n        expected_name: str,\n        task_launcher_cfg: DictConfig,\n        extra_flags: List[str],\n    ) -> None:\n        overrides = extra_flags + overrides\n        task_launcher_cfg = OmegaConf.create(task_launcher_cfg or {})\n        task_config = OmegaConf.create(task_config or {})\n        cfg = OmegaConf.merge(task_launcher_cfg, task_config)\n        assert isinstance(cfg, DictConfig)\n\n        integration_test(\n            tmpdir=self.get_test_scratch_dir(tmpdir),\n            task_config=cfg,\n            overrides=overrides,\n            prints=\"HydraConfig.get().job.name\",\n            expected_outputs=expected_name,\n            filename=filename,\n            generate_custom_cmd=self.generate_custom_cmd(),\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_run_with_error_run_python_script.return.run_process_cmd_env_pri": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_run_with_error_run_python_script.return.run_process_cmd_env_pri", "embedding": null, "metadata": {"file_path": "hydra/test_utils/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 354, "end_line": 374, "span_ids": ["run_with_error", "run_python_script"], "tokens": 192}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def run_with_error(cmd: Any, env: Any = None) -> str:\n    cmd = [sys.executable, \"-Werror\"] + cmd\n    with Popen(cmd, stdout=PIPE, stderr=PIPE, env=env) as p:\n        _stdout, stderr = p.communicate()\n        err = stderr.decode(\"utf-8\").rstrip().replace(\"\\r\\n\", \"\\n\")\n        assert p.returncode != 0\n    return err\n\n\ndef run_python_script(\n    cmd: Any,\n    env: Any = None,\n    allow_warnings: bool = False,\n    print_error: bool = True,\n    raise_exception: bool = True,\n) -> Tuple[str, str]:\n    if allow_warnings:\n        cmd = [sys.executable] + cmd\n    else:\n        cmd = [sys.executable, \"-Werror\"] + cmd\n    return run_process(cmd, env, print_error, raise_exception)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_run_process_run_process.try_.except_Exception_as_e_.raise_e": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_run_process_run_process.try_.except_Exception_as_e_.raise_e", "embedding": null, "metadata": {"file_path": "hydra/test_utils/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 376, "end_line": 406, "span_ids": ["run_process"], "tokens": 224}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def run_process(\n    cmd: Any,\n    env: Any = None,\n    print_error: bool = True,\n    raise_exception: bool = True,\n    timeout: Optional[float] = None,\n) -> Tuple[str, str]:\n    try:\n        process = subprocess.Popen(\n            args=cmd,\n            shell=False,\n            env=env,\n            stdout=subprocess.PIPE,\n            stderr=subprocess.PIPE,\n        )\n        bstdout, bstderr = process.communicate(timeout=timeout)\n        stdout = normalize_newlines(bstdout.decode().rstrip())\n        stderr = normalize_newlines(bstderr.decode().rstrip())\n        if process.returncode != 0:\n            if print_error:\n                sys.stderr.write(f\"Subprocess error:\\n{stderr}\\n\")\n            if raise_exception:\n                raise subprocess.CalledProcessError(\n                    returncode=process.returncode, cmd=cmd\n                )\n        return stdout, stderr\n    except Exception as e:\n        if print_error:\n            cmd = \" \".join(cmd)\n            sys.stderr.write(f\"=== Error executing:\\n{cmd}\\n===================\")\n        raise e", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_normalize_newlines_assert_text_same.if_len_diff_0_.assert_False_Mismatch_b": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_normalize_newlines_assert_text_same.if_len_diff_0_.assert_False_Mismatch_b", "embedding": null, "metadata": {"file_path": "hydra/test_utils/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 409, "end_line": 438, "span_ids": ["normalize_newlines", "assert_text_same"], "tokens": 208}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def normalize_newlines(s: str) -> str:\n    \"\"\"\n    Normalizes new lines such they are comparable across different operating systems\n    :param s:\n    :return:\n    \"\"\"\n    return s.replace(\"\\r\\n\", \"\\n\").replace(\"\\r\", \"\\n\")\n\n\ndef assert_text_same(\n    from_line: str, to_line: str, from_name: str = \"Expected\", to_name: str = \"Actual\"\n) -> None:\n    from_line = normalize_newlines(from_line)\n    to_line = normalize_newlines(to_line)\n    lines = [\n        line\n        for line in unified_diff(\n            a=from_line.splitlines(),\n            b=to_line.splitlines(),\n            fromfile=from_name,\n            tofile=to_name,\n        )\n    ]\n\n    diff = \"\\n\".join(lines)\n    if len(diff) > 0:\n        print(\"\\n------------ DIFF -------------\")\n        print(diff)\n        print(\"-------------------------------\")\n        assert False, \"Mismatch between expected and actual text\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/types.py_ConvertMode_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/types.py_ConvertMode_", "embedding": null, "metadata": {"file_path": "hydra/types.py", "file_name": "types.py", "file_type": "text/x-python", "category": "implementation", "start_line": 34, "end_line": 67, "span_ids": ["ConvertMode.__eq__", "ConvertMode"], "tokens": 254}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConvertMode(Enum):\n    \"\"\"ConvertMode for instantiate, controls return type.\n\n    A config is either config or instance-like (`_target_` field).\n\n    If instance-like, instantiate resolves the callable (class or\n    function) and returns the result of the call on the rest of the\n    parameters.\n\n    If \"none\", config-like configs will be kept as is.\n\n    If \"partial\", config-like configs will be converted to native python\n    containers (list and dict), unless they are structured configs (\n    dataclasses or attr instances).\n\n    If \"all\", config-like configs will all be converted to native python\n    containers (list and dict).\n    \"\"\"\n\n    # Use DictConfig/ListConfig\n    NONE = \"none\"\n    # Convert the OmegaConf config to primitive container, Structured Configs are preserved\n    PARTIAL = \"partial\"\n    # Fully convert the OmegaConf config to primitive containers (dict, list and primitives).\n    ALL = \"all\"\n\n    def __eq__(self, other: Any) -> Any:\n        if isinstance(other, ConvertMode):\n            return other.value == self.value\n        elif isinstance(other, str):\n            return other.upper() == self.name.upper()\n        else:\n            return NotImplemented", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/utils.py_logging.config_get_original_cwd.return.ret": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/utils.py_logging.config_get_original_cwd.return.ret", "embedding": null, "metadata": {"file_path": "hydra/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 64, "span_ids": ["get_original_cwd", "get_method", "docstring", "impl:9", "get_class"], "tokens": 386}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging.config\nimport os\nfrom pathlib import Path\nfrom typing import Any, Callable\n\nimport hydra._internal.instantiate._instantiate2\nimport hydra.types\nfrom hydra._internal.utils import _locate\nfrom hydra.core.hydra_config import HydraConfig\n\nlog = logging.getLogger(__name__)\n\n# Instantiation related symbols\ninstantiate = hydra._internal.instantiate._instantiate2.instantiate\ncall = instantiate\nConvertMode = hydra.types.ConvertMode\n\n\ndef get_class(path: str) -> type:\n    try:\n        cls = _locate(path)\n        if not isinstance(cls, type):\n            raise ValueError(\n                f\"Located non-class of type '{type(cls).__name__}'\"\n                + f\" while loading '{path}'\"\n            )\n        return cls\n    except Exception as e:\n        log.error(f\"Error initializing class at {path}: {e}\")\n        raise e\n\n\ndef get_method(path: str) -> Callable[..., Any]:\n    try:\n        obj = _locate(path)\n        if not callable(obj):\n            raise ValueError(\n                f\"Located non-callable of type '{type(obj).__name__}'\"\n                + f\" while loading '{path}'\"\n            )\n        cl: Callable[..., Any] = obj\n        return cl\n    except Exception as e:\n        log.error(f\"Error getting callable at {path} : {e}\")\n        raise e\n\n\n# Alias for get_method\nget_static_method = get_method\n\n\ndef get_original_cwd() -> str:\n    \"\"\"\n    :return: the original working directory the Hydra application was launched from\n    \"\"\"\n    if not HydraConfig.initialized():\n        raise ValueError(\n            \"get_original_cwd() must only be used after HydraConfig is initialized\"\n        )\n    ret = HydraConfig.get().runtime.cwd\n    assert ret is not None and isinstance(ret, str)\n    return ret", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py_logging_TrialBatch.is_search_space_exhausted": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py_logging_TrialBatch.is_search_space_exhausted", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 32, "span_ids": ["Trial", "TrialBatch", "docstring"], "tokens": 226}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nfrom dataclasses import dataclass\nfrom typing import Any, Dict, Iterable, List, Mapping, Optional, Tuple, Union\n\nfrom ax.core import types as ax_types  # type: ignore\nfrom ax.exceptions.core import SearchSpaceExhausted  # type: ignore\nfrom ax.service.ax_client import AxClient  # type: ignore\nfrom hydra.core.override_parser.overrides_parser import OverridesParser\nfrom hydra.core.override_parser.types import IntervalSweep, Override, Transformer\nfrom hydra.core.plugins import Plugins\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.plugins.sweeper import Sweeper\nfrom hydra.types import HydraContext, TaskFunction\nfrom omegaconf import DictConfig, OmegaConf\n\nfrom ._earlystopper import EarlyStopper\nfrom .config import AxConfig, ClientConfig, ExperimentConfig\n\nlog = logging.getLogger(__name__)\n\n\n@dataclass\nclass Trial:\n    overrides: List[str]\n    trial_index: int\n\n\n@dataclass\nclass TrialBatch:\n    list_of_trials: List[Trial]\n    is_search_space_exhausted: bool", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py_encoder_parameters_into_string_map_params_to_arg_list.return.arg_list": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py_encoder_parameters_into_string_map_params_to_arg_list.return.arg_list", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 36, "end_line": 61, "span_ids": ["encoder_parameters_into_string", "map_params_to_arg_list"], "tokens": 256}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def encoder_parameters_into_string(parameters: List[Dict[str, Any]]) -> str:\n    \"\"\"Convert a list of params into a string\"\"\"\n    mandatory_keys = set([\"name\", \"type\", \"bounds\", \"values\", \"value\"])\n    parameter_log_string = \"\"\n    for parameter in parameters:\n        parameter_log_string += \"\\n\"\n        parameter_log_string += f\"{parameter['name']}: {parameter['type']}=\"\n        if parameter[\"type\"] == \"range\":\n            parameter_log_string += f\"{parameter['bounds']}\"\n        elif parameter[\"type\"] == \"choice\":\n            parameter_log_string += f\"{parameter['values']}\"\n        elif parameter[\"type\"] == \"fixed\":\n            parameter_log_string += f\"{parameter['value']}\"\n\n        for key, value in parameter.items():\n            if key not in mandatory_keys:\n                parameter_log_string += f\", {key} = {value}\"\n    return parameter_log_string\n\n\ndef map_params_to_arg_list(params: Mapping[str, Union[str, float, int]]) -> List[str]:\n    \"\"\"Method to map a dictionary of params to a list of string arguments\"\"\"\n    arg_list = []\n    for key in params:\n        arg_list.append(str(key) + \"=\" + str(params[key]))\n    return arg_list", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py_get_one_batch_of_trials_get_one_batch_of_trials.return.TrialBatch_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py_get_one_batch_of_trials_get_one_batch_of_trials.return.TrialBatch_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 64, "end_line": 103, "span_ids": ["get_one_batch_of_trials"], "tokens": 340}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def get_one_batch_of_trials(\n    ax_client: AxClient,\n    parallelism: Tuple[int, int],\n    num_trials_so_far: int,\n    num_max_trials_to_do: int,\n) -> TrialBatch:\n    \"\"\"Returns a TrialBatch that contains a list of trials that can be\n    run in parallel. TrialBatch also flags if the search space is exhausted.\"\"\"\n\n    is_search_space_exhausted = False\n    # Ax throws an exception if the search space is exhausted. We catch\n    # the exception and set the flag to True\n    (num_trials, max_parallelism_setting) = parallelism\n    if max_parallelism_setting == -1:\n        # Special case, we can group all the trials into one batch\n        max_parallelism_setting = num_trials - num_trials_so_far\n\n        if num_trials == -1:\n            # This is a special case where we can run as many trials in parallel as we want.\n            # Given that num_trials is also -1, we can run all the trials in parallel.\n            max_parallelism_setting = num_max_trials_to_do\n\n    list_of_trials = []\n    for _ in range(max_parallelism_setting):\n        try:\n            parameters, trial_index = ax_client.get_next_trial()\n            list_of_trials.append(\n                Trial(\n                    overrides=map_params_to_arg_list(params=parameters),\n                    trial_index=trial_index,\n                )\n            )\n        except SearchSpaceExhausted:\n            is_search_space_exhausted = True\n            break\n\n    return TrialBatch(\n        list_of_trials=list_of_trials,\n        is_search_space_exhausted=is_search_space_exhausted,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py_create_range_param_using_interval_override_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py_create_range_param_using_interval_override_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/hydra_plugins/hydra_ax_sweeper/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 307, "end_line": 350, "span_ids": ["create_fixed_param_from_element_override", "create_choice_param_from_choice_override", "create_range_param_using_interval_override", "create_choice_param_from_range_override"], "tokens": 270}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def create_range_param_using_interval_override(override: Override) -> Dict[str, Any]:\n    key = override.get_key_element()\n    value = override.value()\n    assert isinstance(value, IntervalSweep)\n    param = {\n        \"name\": key,\n        \"type\": \"range\",\n        \"bounds\": [value.start, value.end],\n        \"log_scale\": \"log\" in value.tags,\n    }\n    return param\n\n\ndef create_choice_param_from_choice_override(override: Override) -> Dict[str, Any]:\n    key = override.get_key_element()\n    param = {\n        \"name\": key,\n        \"type\": \"choice\",\n        \"values\": list(override.sweep_iterator(transformer=Transformer.encode)),\n    }\n    return param\n\n\ndef create_choice_param_from_range_override(override: Override) -> Dict[str, Any]:\n    key = override.get_key_element()\n    param = {\n        \"name\": key,\n        \"type\": \"choice\",\n        \"values\": [val for val in override.sweep_iterator()],\n    }\n\n    return param\n\n\ndef create_fixed_param_from_element_override(override: Override) -> Dict[str, Any]:\n    key = override.get_key_element()\n    param = {\n        \"name\": key,\n        \"type\": \"fixed\",\n        \"value\": override.value(),\n    }\n\n    return param", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/setup.py_from_pathlib_import_Path_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/setup.py_from_pathlib_import_Path_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 35, "span_ids": ["docstring"], "tokens": 303}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pathlib import Path\n\nfrom read_version import read_version\nfrom setuptools import find_namespace_packages, setup\n\nsetup(\n    name=\"hydra-ax-sweeper\",\n    version=read_version(\"hydra_plugins/hydra_ax_sweeper\", \"__init__.py\"),\n    author=\"Omry Yadan, Shagun Sodhani\",\n    author_email=\"omry@fb.com, sshagunsodhani@gmail.com\",\n    description=\"Hydra Ax Sweeper plugin\",\n    long_description=(Path(__file__).parent / \"README.md\").read_text(),\n    long_description_content_type=\"text/markdown\",\n    url=\"https://github.com/facebookresearch/hydra/\",\n    packages=find_namespace_packages(include=[\"hydra_plugins.*\"]),\n    classifiers=[\n        \"License :: OSI Approved :: MIT License\",\n        \"Programming Language :: Python :: 3.7\",\n        \"Programming Language :: Python :: 3.8\",\n        \"Programming Language :: Python :: 3.9\",\n        \"Programming Language :: Python :: 3.10\",\n        \"Operating System :: POSIX :: Linux\",\n        \"Operating System :: MacOS\",\n        \"Development Status :: 4 - Beta\",\n    ],\n    install_requires=[\n        \"hydra-core>=1.1.0.dev7\",\n        \"ax-platform>=0.1.20,<0.2.1\",  # https://github.com/facebookresearch/hydra/issues/1767\n        \"torch\",\n    ],\n    include_package_data=True,\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/apps/polynomial_with_dict_coefficients.py_from_typing_import_Any_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/apps/polynomial_with_dict_coefficients.py_from_typing_import_Any_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/tests/apps/polynomial_with_dict_coefficients.py", "file_name": "polynomial_with_dict_coefficients.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 21, "span_ids": ["polynomial_with_dict_coefficients", "impl", "docstring"], "tokens": 118}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Any\n\nimport hydra\nfrom omegaconf import DictConfig\n\n\n@hydra.main(\n    version_base=None, config_path=\".\", config_name=\"polynomial_with_dict_coefficients\"\n)\ndef polynomial_with_dict_coefficients(cfg: DictConfig) -> Any:\n    coeff = cfg.polynomial.coefficients\n    a = 100\n    b = 10\n    c = 1\n    return a * (coeff.x**2) + b * coeff.y + c * coeff.z\n\n\nif __name__ == \"__main__\":\n    polynomial_with_dict_coefficients()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/apps/polynomial_with_list_coefficients.py_from_typing_import_Any_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/apps/polynomial_with_list_coefficients.py_from_typing_import_Any_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/tests/apps/polynomial_with_list_coefficients.py", "file_name": "polynomial_with_list_coefficients.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 21, "span_ids": ["polynomial_with_list_coefficients", "impl", "docstring"], "tokens": 118}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Any\n\nimport hydra\nfrom omegaconf import DictConfig\n\n\n@hydra.main(\n    version_base=None, config_path=\".\", config_name=\"polynomial_with_coefficients\"\n)\ndef polynomial_with_list_coefficients(cfg: DictConfig) -> Any:\n    x, y, z = cfg.polynomial.coefficients\n    a = 100\n    b = 10\n    c = 1\n    return a * (x**2) + b * y + c * z\n\n\nif __name__ == \"__main__\":\n    polynomial_with_list_coefficients()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_search_space_exhausted_exception_test_search_space_exhausted_exception.run_python_script_cmd_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_search_space_exhausted_exception_test_search_space_exhausted_exception.run_python_script_cmd_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py", "file_name": "test_ax_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 219, "end_line": 234, "span_ids": ["test_search_space_exhausted_exception"], "tokens": 146}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"cmd_args\",\n    [\n        [\"polynomial.y=choice(-1, 0, 1)\", \"polynomial.x=range(2,4)\"],\n        [\"polynomial.y=1\", \"polynomial.x=range(2,4)\"],\n    ],\n)\ndef test_search_space_exhausted_exception(tmpdir: Path, cmd_args: List[str]) -> None:\n    cmd = [\n        \"tests/apps/polynomial.py\",\n        \"-m\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"hydra.sweeper.ax_config.max_trials=2\",\n    ] + cmd_args\n    run_python_script(cmd)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_jobs_using_choice_between_lists_test_jobs_using_choice_between_lists.assert_f_New_best_value_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_jobs_using_choice_between_lists_test_jobs_using_choice_between_lists.assert_f_New_best_value_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py", "file_name": "test_ax_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 237, "end_line": 271, "span_ids": ["test_jobs_using_choice_between_lists"], "tokens": 348}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"cmd_arg, serialized_encoding, best_coefficients, best_value\",\n    [\n        (\n            \"polynomial.coefficients=[-1, 0, 1],[2, 3, 4],[5, 6, 7]\",\n            \"choice=['[-1,0,1]', '[2,3,4]', '[5,6,7]']\",\n            \"'[-1,0,1]'\",\n            101.0,\n        ),\n        (\n            \"polynomial.coefficients=choice([8, 12, 11],[-1, -1, 1000], [-2, 4, 7])\",\n            \"choice=['[8,12,11]', '[-1,-1,1000]', '[-2,4,7]']\",\n            \"'[-2,4,7]'\",\n            447,\n        ),\n    ],\n)\ndef test_jobs_using_choice_between_lists(\n    tmpdir: Path,\n    cmd_arg: str,\n    serialized_encoding: str,\n    best_coefficients: str,\n    best_value: float,\n) -> None:\n    cmd = [\n        \"tests/apps/polynomial_with_list_coefficients.py\",\n        \"-m\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"hydra.sweeper.ax_config.max_trials=3\",\n    ] + [cmd_arg]\n    result, _ = run_python_script(cmd)\n    assert f\"polynomial.coefficients: {serialized_encoding}\" in result\n    assert f\"'polynomial.coefficients': {best_coefficients}\" in result\n    assert f\"New best value: {best_value}\" in result", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_jobs_using_choice_between_dicts_test_jobs_using_choice_between_dicts.assert_f_New_best_value_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_jobs_using_choice_between_dicts_test_jobs_using_choice_between_dicts.assert_f_New_best_value_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py", "file_name": "test_ax_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 274, "end_line": 308, "span_ids": ["test_jobs_using_choice_between_dicts"], "tokens": 406}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"cmd_arg, serialized_encoding, best_coefficients, best_value\",\n    [\n        (\n            \"+polynomial.coefficients=choice({x:-1, y:0, z:1},{x:2, y:3, z:4},{x:5, y:6, z:7})\",\n            \"choice=['{x:-1,y:0,z:1}', '{x:2,y:3,z:4}', '{x:5,y:6,z:7}']\",\n            \"'{x:-1,y:0,z:1}'\",\n            101.0,\n        ),\n        (\n            \"+polynomial.coefficients=choice({x:8, y:12, z:11},{x:-1, y:-1, z:1000}, {x:-2, y:4, z:7})\",\n            \"choice=['{x:8,y:12,z:11}', '{x:-1,y:-1,z:1000}', '{x:-2,y:4,z:7}']\",\n            \"'{x:-2,y:4,z:7}'}\",\n            447,\n        ),\n    ],\n)\ndef test_jobs_using_choice_between_dicts(\n    tmpdir: Path,\n    cmd_arg: str,\n    serialized_encoding: str,\n    best_coefficients: str,\n    best_value: float,\n) -> None:\n    cmd = [\n        \"tests/apps/polynomial_with_dict_coefficients.py\",\n        \"-m\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"hydra.sweeper.ax_config.max_trials=3\",\n    ] + [cmd_arg]\n    result, _ = run_python_script(cmd)\n    assert f\"polynomial.coefficients: {serialized_encoding}\" in result\n    assert f\"'+polynomial.coefficients': {best_coefficients}\" in result\n    assert f\"New best value: {best_value}\" in result", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_example_app_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_test_example_app_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py", "file_name": "test_ax_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 311, "end_line": 324, "span_ids": ["test_example_app"], "tokens": 138}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_example_app(tmpdir: Path) -> None:\n    cmd = [\n        \"example/banana.py\",\n        \"-m\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"banana.x=int(interval(-5, 5))\",\n        \"banana.y=interval(-5, 10.1)\",\n        \"hydra.sweeper.ax_config.max_trials=2\",\n    ]\n    result, _ = run_python_script(cmd)\n    assert \"banana.x: range=[-5, 5]\" in result\n    assert \"banana.y: range=[-5.0, 10.1]\" in result", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_colorlog/setup.py_from_pathlib_import_Path_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_colorlog/setup.py_from_pathlib_import_Path_", "embedding": null, "metadata": {"file_path": "plugins/hydra_colorlog/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 30, "span_ids": ["docstring"], "tokens": 239}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pathlib import Path\n\nfrom read_version import read_version\nfrom setuptools import find_namespace_packages, setup\n\nsetup(\n    name=\"hydra-colorlog\",\n    version=read_version(\"hydra_plugins/hydra_colorlog\", \"__init__.py\"),\n    author=\"Omry Yadan\",\n    author_email=\"omry@fb.com\",\n    description=\"Enables colorlog for Hydra apps\",\n    long_description=(Path(__file__).parent / \"README.md\").read_text(),\n    long_description_content_type=\"text/markdown\",\n    url=\"https://github.com/facebookresearch/hydra/\",\n    packages=find_namespace_packages(include=[\"hydra_plugins.*\"]),\n    classifiers=[\n        \"License :: OSI Approved :: MIT License\",\n        \"Programming Language :: Python :: 3.6\",\n        \"Programming Language :: Python :: 3.7\",\n        \"Programming Language :: Python :: 3.8\",\n        \"Programming Language :: Python :: 3.9\",\n        \"Programming Language :: Python :: 3.10\",\n        \"Operating System :: OS Independent\",\n    ],\n    install_requires=[\"colorlog\", \"hydra-core>=1.0.0\"],\n    include_package_data=True,\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_colorlog/tests/test_colorlog.py_from_hydra_import_initial_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_colorlog/tests/test_colorlog.py_from_hydra_import_initial_", "embedding": null, "metadata": {"file_path": "plugins/hydra_colorlog/tests/test_colorlog.py", "file_name": "test_colorlog.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 21, "span_ids": ["imports", "test_config_installed"], "tokens": 144}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from hydra import initialize\nfrom hydra.core.global_hydra import GlobalHydra\nfrom hydra.test_utils.test_utils import chdir_plugin_root\n\nchdir_plugin_root()\n\n\ndef test_config_installed() -> None:\n    \"\"\"\n    Tests that color options are available for both hydra/hydra_logging and hydra/job_logging\n    \"\"\"\n\n    with initialize(\n        version_base=None, config_path=\"../hydra_plugins/hydra_colorlog/conf\"\n    ):\n        config_loader = GlobalHydra.instance().config_loader()\n        assert \"colorlog\" in config_loader.get_group_options(\"hydra/job_logging\")\n        assert \"colorlog\" in config_loader.get_group_options(\"hydra/hydra_logging\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/hydra_plugins/hydra_joblib_launcher/_core.py_execute_job_process_joblib_cfg.for_k_in_pre_dispatch_.if_k_in_joblib_cfg_keys_.try_.except_ValueError_.pass": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/hydra_plugins/hydra_joblib_launcher/_core.py_execute_job_process_joblib_cfg.for_k_in_pre_dispatch_.if_k_in_joblib_cfg_keys_.try_.except_ValueError_.pass", "embedding": null, "metadata": {"file_path": "plugins/hydra_joblib_launcher/hydra_plugins/hydra_joblib_launcher/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 24, "end_line": 63, "span_ids": ["execute_job", "process_joblib_cfg"], "tokens": 279}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def execute_job(\n    idx: int,\n    overrides: Sequence[str],\n    hydra_context: HydraContext,\n    config: DictConfig,\n    task_function: TaskFunction,\n    singleton_state: Dict[Any, Any],\n) -> JobReturn:\n    \"\"\"Calls `run_job` in parallel\"\"\"\n    setup_globals()\n    Singleton.set_state(singleton_state)\n\n    sweep_config = hydra_context.config_loader.load_sweep_config(\n        config, list(overrides)\n    )\n    with open_dict(sweep_config):\n        sweep_config.hydra.job.id = \"{}_{}\".format(sweep_config.hydra.job.name, idx)\n        sweep_config.hydra.job.num = idx\n    HydraConfig.instance().set_config(sweep_config)\n\n    ret = run_job(\n        hydra_context=hydra_context,\n        config=sweep_config,\n        task_function=task_function,\n        job_dir_key=\"hydra.sweep.dir\",\n        job_subdir_key=\"hydra.sweep.subdir\",\n    )\n\n    return ret\n\n\ndef process_joblib_cfg(joblib_cfg: Dict[str, Any]) -> None:\n    for k in [\"pre_dispatch\", \"batch_size\", \"max_nbytes\"]:\n        if k in joblib_cfg.keys():\n            try:\n                val = joblib_cfg.get(k)\n                if val:\n                    joblib_cfg[k] = int(val)\n            except ValueError:\n                pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/setup.py_from_pathlib_import_Path_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/setup.py_from_pathlib_import_Path_", "embedding": null, "metadata": {"file_path": "plugins/hydra_joblib_launcher/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 34, "span_ids": ["docstring"], "tokens": 276}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pathlib import Path\n\nfrom read_version import read_version\nfrom setuptools import find_namespace_packages, setup\n\nsetup(\n    name=\"hydra-joblib-launcher\",\n    version=read_version(\"hydra_plugins/hydra_joblib_launcher\", \"__init__.py\"),\n    author=\"Jan-Matthis Lueckmann, Omry Yadan\",\n    author_email=\"mail@jan-matthis.de, omry@fb.com\",\n    description=\"Joblib Launcher for Hydra apps\",\n    long_description=(Path(__file__).parent / \"README.md\").read_text(),\n    long_description_content_type=\"text/markdown\",\n    url=\"https://github.com/facebookresearch/hydra/\",\n    packages=find_namespace_packages(include=[\"hydra_plugins.*\"]),\n    classifiers=[\n        \"License :: OSI Approved :: MIT License\",\n        \"Programming Language :: Python :: 3.7\",\n        \"Programming Language :: Python :: 3.8\",\n        \"Programming Language :: Python :: 3.9\",\n        \"Programming Language :: Python :: 3.10\",\n        \"Operating System :: MacOS\",\n        \"Operating System :: Microsoft :: Windows\",\n        \"Operating System :: POSIX :: Linux\",\n    ],\n    install_requires=[\n        \"hydra-core>=1.1.0.dev7\",\n        \"joblib>=0.14.0\",\n    ],\n    include_package_data=True,\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/tests/test_joblib_launcher.py_from_typing_import_Any_TestJoblibLauncherIntegration.pass": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/tests/test_joblib_launcher.py_from_typing_import_Any_TestJoblibLauncherIntegration.pass", "embedding": null, "metadata": {"file_path": "plugins/hydra_joblib_launcher/tests/test_joblib_launcher.py", "file_name": "test_joblib_launcher.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 54, "span_ids": ["TestJoblibLauncherIntegration", "test_discovery", "TestJoblibLauncher", "docstring"], "tokens": 286}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Any\n\nfrom hydra.core.plugins import Plugins\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.test_utils.launcher_common_tests import (\n    IntegrationTestSuite,\n    LauncherTestSuite,\n)\nfrom hydra.test_utils.test_utils import TSweepRunner, chdir_plugin_root\nfrom pytest import mark\n\nfrom hydra_plugins.hydra_joblib_launcher.joblib_launcher import JoblibLauncher\n\nchdir_plugin_root()\n\n\ndef test_discovery() -> None:\n    # Tests that this plugin can be discovered via the plugins subsystem when looking for Launchers\n    assert JoblibLauncher.__name__ in [\n        x.__name__ for x in Plugins.instance().discover(Launcher)\n    ]\n\n\n@mark.parametrize(\"launcher_name, overrides\", [(\"joblib\", [])])\nclass TestJoblibLauncher(LauncherTestSuite):\n    \"\"\"\n    Run the Launcher test suite on this launcher.\n    \"\"\"\n\n    pass\n\n\n@mark.parametrize(\n    \"task_launcher_cfg, extra_flags\",\n    [\n        # joblib with process-based backend (default)\n        (\n            {},\n            [\n                \"-m\",\n                \"hydra/job_logging=hydra_debug\",\n                \"hydra/job_logging=disabled\",\n                \"hydra/launcher=joblib\",\n            ],\n        )\n    ],\n)\nclass TestJoblibLauncherIntegration(IntegrationTestSuite):\n    \"\"\"\n    Run this launcher through the integration test suite.\n    \"\"\"\n\n    pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/tests/test_joblib_launcher.py_test_example_app_test_example_app.with_hydra_sweep_runner_.for_ret_in_sweep_returns_.assert_tuple_ret_override": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/tests/test_joblib_launcher.py_test_example_app_test_example_app.with_hydra_sweep_runner_.for_ret_in_sweep_returns_.assert_tuple_ret_override", "embedding": null, "metadata": {"file_path": "plugins/hydra_joblib_launcher/tests/test_joblib_launcher.py", "file_name": "test_joblib_launcher.py", "file_type": "text/x-python", "category": "test", "start_line": 57, "end_line": 70, "span_ids": ["test_example_app"], "tokens": 159}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_example_app(hydra_sweep_runner: TSweepRunner, tmpdir: Any) -> None:\n    with hydra_sweep_runner(\n        calling_file=\"example/my_app.py\",\n        calling_module=None,\n        task_function=None,\n        config_path=\".\",\n        config_name=\"config\",\n        overrides=[\"task=1,2,3,4\", f\"hydra.sweep.dir={tmpdir}\"],\n    ) as sweep:\n        overrides = {(\"task=1\",), (\"task=2\",), (\"task=3\",), (\"task=4\",)}\n\n        assert sweep.returns is not None and len(sweep.returns[0]) == 4\n        for ret in sweep.returns[0]:\n            assert tuple(ret.overrides) in overrides", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/tests/test_joblib_launcher.py_test_example_app_launcher_overrides_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_joblib_launcher/tests/test_joblib_launcher.py_test_example_app_launcher_overrides_", "embedding": null, "metadata": {"file_path": "plugins/hydra_joblib_launcher/tests/test_joblib_launcher.py", "file_name": "test_joblib_launcher.py", "file_type": "text/x-python", "category": "test", "start_line": 73, "end_line": 96, "span_ids": ["test_example_app_launcher_overrides"], "tokens": 179}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"overrides\",\n    [\n        \"hydra.launcher.batch_size=1\",\n        \"hydra.launcher.max_nbytes=10000\",\n        \"hydra.launcher.max_nbytes=1M\",\n        \"hydra.launcher.pre_dispatch=all\",\n        \"hydra.launcher.pre_dispatch=10\",\n        \"hydra.launcher.pre_dispatch=3*n_jobs\",\n    ],\n)\ndef test_example_app_launcher_overrides(\n    hydra_sweep_runner: TSweepRunner, overrides: str\n) -> None:\n    with hydra_sweep_runner(\n        calling_file=\"example/my_app.py\",\n        calling_module=None,\n        task_function=None,\n        config_path=\".\",\n        config_name=\"config\",\n        overrides=[overrides],\n    ) as sweep:\n        assert sweep.returns is not None and len(sweep.returns[0]) == 1", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/example/my_app.py_logging_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/example/my_app.py_logging_", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/example/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 31, "span_ids": ["dummy_training", "impl:3", "docstring"], "tokens": 221}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\n\nimport hydra\nfrom omegaconf import DictConfig\n\nlog = logging.getLogger(__name__)\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef dummy_training(cfg: DictConfig) -> float:\n    \"\"\"A dummy function to minimize\n    Minimum is 0.0 at:\n    lr = 0.12, dropout=0.33, db=mnist, batch_size=4\n    \"\"\"\n    do = cfg.dropout\n    bs = cfg.batch_size\n    out = float(\n        abs(do - 0.33) + int(cfg.db == \"mnist\") + abs(cfg.lr - 0.12) + abs(bs - 4)\n    )\n    log.info(\n        f\"dummy_training(dropout={do:.3f}, lr={cfg.lr:.3f}, db={cfg.db}, batch_size={bs}) = {out:.3f}\",\n    )\n    if cfg.error:\n        raise RuntimeError(\"cfg.error is True\")\n    return out\n\n\nif __name__ == \"__main__\":\n    dummy_training()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/_impl.py_logging_log.logging_getLogger___name_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/_impl.py_logging_log.logging_getLogger___name_", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/_impl.py", "file_name": "_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 32, "span_ids": ["docstring"], "tokens": 159}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nimport math\nfrom typing import (\n    Any,\n    Dict,\n    List,\n    MutableMapping,\n    MutableSequence,\n    Optional,\n    Tuple,\n    Union,\n)\n\nimport nevergrad as ng\nfrom hydra.core import utils\nfrom hydra.core.override_parser.overrides_parser import OverridesParser\nfrom hydra.core.override_parser.types import (\n    ChoiceSweep,\n    IntervalSweep,\n    Override,\n    Transformer,\n)\nfrom hydra.core.plugins import Plugins\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.plugins.sweeper import Sweeper\nfrom hydra.types import HydraContext, TaskFunction\nfrom omegaconf import DictConfig, ListConfig, OmegaConf\n\nfrom .config import OptimConf, ScalarConfigSpec\n\nlog = logging.getLogger(__name__)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/_impl.py_create_nevergrad_param_from_config_create_nevergrad_param_from_config.return.config": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/_impl.py_create_nevergrad_param_from_config_create_nevergrad_param_from_config.return.config", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/_impl.py", "file_name": "_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 34, "end_line": 56, "span_ids": ["create_nevergrad_param_from_config"], "tokens": 203}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def create_nevergrad_param_from_config(\n    config: Union[MutableSequence[Any], MutableMapping[str, Any]]\n) -> Any:\n    if isinstance(config, MutableSequence):\n        if isinstance(config, ListConfig):\n            config = OmegaConf.to_container(config, resolve=True)  # type: ignore\n        return ng.p.Choice(config)\n    if isinstance(config, MutableMapping):\n        specs = ScalarConfigSpec(**config)\n        init = [\"init\", \"lower\", \"upper\"]\n        init_params = {x: getattr(specs, x) for x in init}\n        if not specs.log:\n            scalar = ng.p.Scalar(**init_params)\n            if specs.step is not None:\n                scalar.set_mutation(sigma=specs.step)\n        else:\n            if specs.step is not None:\n                init_params[\"exponent\"] = specs.step\n            scalar = ng.p.Log(**init_params)\n        if specs.integer:\n            scalar.set_integer_casting()\n        return scalar\n    return config", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/_impl.py_create_nevergrad_parameter_from_override_create_nevergrad_parameter_from_override.if_override_is_choice_swe.elif_override_is_interval.return.scalar": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/_impl.py_create_nevergrad_parameter_from_override_create_nevergrad_parameter_from_override.if_override_is_choice_swe.elif_override_is_interval.return.scalar", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/_impl.py", "file_name": "_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 59, "end_line": 81, "span_ids": ["create_nevergrad_parameter_from_override"], "tokens": 215}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def create_nevergrad_parameter_from_override(override: Override) -> Any:\n    val = override.value()\n    if not override.is_sweep_override():\n        return val\n    if override.is_choice_sweep():\n        assert isinstance(val, ChoiceSweep)\n        vals = [x for x in override.sweep_iterator(transformer=Transformer.encode)]\n        if \"ordered\" in val.tags:\n            return ng.p.TransitionChoice(vals)\n        else:\n            return ng.p.Choice(vals)\n    elif override.is_range_sweep():\n        vals = [x for x in override.sweep_iterator(transformer=Transformer.encode)]\n        return ng.p.Choice(vals)\n    elif override.is_interval_sweep():\n        assert isinstance(val, IntervalSweep)\n        if \"log\" in val.tags:\n            scalar = ng.p.Log(lower=val.start, upper=val.end)\n        else:\n            scalar = ng.p.Scalar(lower=val.start, upper=val.end)  # type: ignore\n        if isinstance(val.start, int):\n            scalar.set_integer_casting()\n        return scalar", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/_impl.py_NevergradSweeperImpl_NevergradSweeperImpl.setup.self.launcher.Plugins_instance_instan": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/_impl.py_NevergradSweeperImpl_NevergradSweeperImpl.setup.self.launcher.Plugins_instance_instan", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/_impl.py", "file_name": "_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 83, "end_line": 115, "span_ids": ["NevergradSweeperImpl.__init__", "NevergradSweeperImpl", "NevergradSweeperImpl.setup"], "tokens": 257}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class NevergradSweeperImpl(Sweeper):\n    def __init__(\n        self,\n        optim: OptimConf,\n        parametrization: Optional[DictConfig],\n    ):\n        self.opt_config = optim\n        self.config: Optional[DictConfig] = None\n        self.launcher: Optional[Launcher] = None\n        self.hydra_context: Optional[HydraContext] = None\n        self.job_results = None\n        self.parametrization: Dict[str, Any] = {}\n        if parametrization is not None:\n            assert isinstance(parametrization, DictConfig)\n            self.parametrization = {\n                str(x): create_nevergrad_param_from_config(y)\n                for x, y in parametrization.items()\n            }\n        self.job_idx: Optional[int] = None\n\n    def setup(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> None:\n        self.job_idx = 0\n        self.config = config\n        self.hydra_context = hydra_context\n        self.launcher = Plugins.instance().instantiate_launcher(\n            hydra_context=hydra_context, task_function=task_function, config=config\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/_impl.py_NevergradSweeperImpl.sweep_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/_impl.py_NevergradSweeperImpl.sweep_", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/_impl.py", "file_name": "_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 119, "end_line": 203, "span_ids": ["NevergradSweeperImpl.sweep"], "tokens": 805}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class NevergradSweeperImpl(Sweeper):\n\n    def sweep(self, arguments: List[str]) -> None:\n\n        assert self.config is not None\n        assert self.launcher is not None\n        assert self.job_idx is not None\n        direction = -1 if self.opt_config.maximize else 1\n        name = \"maximization\" if self.opt_config.maximize else \"minimization\"\n        # Override the parametrization from commandline\n        params = dict(self.parametrization)\n\n        parser = OverridesParser.create()\n        parsed = parser.parse_overrides(arguments)\n\n        for override in parsed:\n            params[\n                override.get_key_element()\n            ] = create_nevergrad_parameter_from_override(override)\n\n        parametrization = ng.p.Dict(**params)\n        parametrization.function.deterministic = not self.opt_config.noisy\n        parametrization.random_state.seed(self.opt_config.seed)\n        # log and build the optimizer\n        opt = self.opt_config.optimizer\n        remaining_budget = self.opt_config.budget\n        nw = self.opt_config.num_workers\n        log.info(\n            f\"NevergradSweeper(optimizer={opt}, budget={remaining_budget}, \"\n            f\"num_workers={nw}) {name}\"\n        )\n        log.info(f\"with parametrization {parametrization}\")\n        log.info(f\"Sweep output dir: {self.config.hydra.sweep.dir}\")\n        optimizer = ng.optimizers.registry[opt](parametrization, remaining_budget, nw)\n        # loop!\n        all_returns: List[Any] = []\n        best: Tuple[float, ng.p.Parameter] = (float(\"inf\"), parametrization)\n        while remaining_budget > 0:\n            batch = min(nw, remaining_budget)\n            remaining_budget -= batch\n            candidates = [optimizer.ask() for _ in range(batch)]\n            overrides = list(\n                tuple(f\"{x}={y}\" for x, y in c.value.items()) for c in candidates\n            )\n            self.validate_batch_is_legal(overrides)\n            returns = self.launcher.launch(overrides, initial_job_idx=self.job_idx)\n            # would have been nice to avoid waiting for all jobs to finish\n            # aka batch size Vs steady state (launching a new job whenever one is done)\n            self.job_idx += len(returns)\n            # check job status and prepare losses\n            failures = 0\n            for cand, ret in zip(candidates, returns):\n                if ret.status == utils.JobStatus.COMPLETED:\n                    rectified_loss = direction * ret.return_value\n                else:\n                    rectified_loss = math.inf\n                    failures += 1\n                    try:\n                        ret.return_value\n                    except Exception as e:\n                        log.warning(f\"Returning infinity for failed experiment: {e}\")\n                optimizer.tell(cand, rectified_loss)\n                if rectified_loss < best[0]:\n                    best = (rectified_loss, cand)\n            # raise if too many failures\n            if failures / len(returns) > self.opt_config.max_failure_rate:\n                log.error(\n                    f\"Failed {failures} times out of {len(returns)} \"\n                    f\"with max_failure_rate={self.opt_config.max_failure_rate}\"\n                )\n                for ret in returns:\n                    ret.return_value  # delegate raising to JobReturn, with actual traceback\n            all_returns.extend(returns)\n        recom = optimizer.provide_recommendation()\n        results_to_serialize = {\n            \"name\": \"nevergrad\",\n            \"best_evaluated_params\": best[1].value,\n            \"best_evaluated_result\": direction * best[0],\n        }\n        OmegaConf.save(\n            OmegaConf.create(results_to_serialize),\n            f\"{self.config.hydra.sweep.dir}/optimization_results.yaml\",\n        )\n        log.info(\n            \"Best parameters: %s\", \" \".join(f\"{x}={y}\" for x, y in recom.value.items())\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/nevergrad_sweeper.py_from_typing_import_List__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/nevergrad_sweeper.py_from_typing_import_List__", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/nevergrad_sweeper.py", "file_name": "nevergrad_sweeper.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 33, "span_ids": ["NevergradSweeper", "docstring", "NevergradSweeper.sweep", "NevergradSweeper.setup", "NevergradSweeper.__init__"], "tokens": 204}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import List, Optional\n\nfrom hydra import TaskFunction\nfrom hydra.plugins.sweeper import Sweeper\nfrom hydra.types import HydraContext\nfrom omegaconf import DictConfig\n\nfrom .config import OptimConf\n\n\nclass NevergradSweeper(Sweeper):\n    \"\"\"Class to interface with Nevergrad\"\"\"\n\n    def __init__(self, optim: OptimConf, parametrization: Optional[DictConfig]):\n        from ._impl import NevergradSweeperImpl\n\n        self.sweeper = NevergradSweeperImpl(optim, parametrization)\n\n    def setup(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> None:\n        return self.sweeper.setup(\n            hydra_context=hydra_context, task_function=task_function, config=config\n        )\n\n    def sweep(self, arguments: List[str]) -> None:\n        return self.sweeper.sweep(arguments)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/setup.py_from_pathlib_import_Path_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/setup.py_from_pathlib_import_Path_", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 35, "span_ids": ["docstring"], "tokens": 336}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pathlib import Path\n\nfrom read_version import read_version\nfrom setuptools import find_namespace_packages, setup\n\nsetup(\n    name=\"hydra-nevergrad-sweeper\",\n    version=read_version(\"hydra_plugins/hydra_nevergrad_sweeper\", \"__init__.py\"),\n    author=\"Jeremy Rapin, Omry Yadan, Jieru Hu\",\n    author_email=\"jrapin@fb.com, omry@fb.com, jieru@fb.com\",\n    description=\"Hydra Nevergrad Sweeper plugin\",\n    long_description=(Path(__file__).parent / \"README.md\").read_text(),\n    long_description_content_type=\"text/markdown\",\n    url=\"https://github.com/facebookresearch/hydra/\",\n    packages=find_namespace_packages(include=[\"hydra_plugins.*\"]),\n    classifiers=[\n        \"License :: OSI Approved :: MIT License\",\n        \"Programming Language :: Python :: 3.6\",\n        \"Programming Language :: Python :: 3.7\",\n        \"Programming Language :: Python :: 3.8\",\n        \"Programming Language :: Python :: 3.9\",\n        \"Operating System :: OS Independent\",\n        \"Development Status :: 4 - Beta\",\n    ],\n    install_requires=[\n        \"hydra-core>=1.1.0.dev7\",\n        \"nevergrad>=0.4.3.post9\",\n        \"cma==3.0.3\",  # https://github.com/facebookresearch/hydra/issues/1684\n        \"numpy<1.20.0\",  # remove once nevergrad is upgraded to support numpy 1.20\n    ],\n    include_package_data=True,\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/tests/test_nevergrad_sweeper_plugin.py_test_create_nevergrad_parameter_from_config_test_create_nevergrad_parameter_from_config.assert_ng_param_equals_ex": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/tests/test_nevergrad_sweeper_plugin.py_test_create_nevergrad_parameter_from_config_test_create_nevergrad_parameter_from_config.assert_ng_param_equals_ex", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/tests/test_nevergrad_sweeper_plugin.py", "file_name": "test_nevergrad_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 47, "end_line": 69, "span_ids": ["test_create_nevergrad_parameter_from_config"], "tokens": 248}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"input, expected\",\n    [\n        ([1, 2, 3], ng.p.Choice([1, 2, 3])),\n        ([\"1\", \"2\", \"3\"], ng.p.Choice([\"1\", \"2\", \"3\"])),\n        ({\"lower\": 1, \"upper\": 12, \"log\": True}, ng.p.Log(lower=1, upper=12)),\n        ({\"lower\": 1, \"upper\": 12}, ng.p.Scalar(lower=1, upper=12)),\n        (\n            {\"lower\": 1, \"upper\": 12, \"integer\": True},\n            get_scalar_with_integer_bounds(1, 12, ng.p.Scalar),\n        ),\n        (\n            {\"lower\": 1, \"upper\": 12, \"log\": True, \"integer\": True},\n            get_scalar_with_integer_bounds(1, 12, ng.p.Log),\n        ),\n    ],\n)\ndef test_create_nevergrad_parameter_from_config(\n    input: Any,\n    expected: Any,\n) -> None:\n    actual = _impl.create_nevergrad_param_from_config(input)\n    assert_ng_param_equals(expected, actual)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/tests/test_nevergrad_sweeper_plugin.py_test_create_nevergrad_parameter_from_override_test_create_nevergrad_parameter_from_override.assert_ng_param_equals_pa": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/tests/test_nevergrad_sweeper_plugin.py_test_create_nevergrad_parameter_from_override_test_create_nevergrad_parameter_from_override.assert_ng_param_equals_pa", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/tests/test_nevergrad_sweeper_plugin.py", "file_name": "test_nevergrad_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 72, "end_line": 104, "span_ids": ["test_create_nevergrad_parameter_from_override"], "tokens": 396}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"input, expected\",\n    [\n        (\"key=choice(1,2)\", ng.p.Choice([1, 2])),\n        (\"key=choice('hello','world')\", ng.p.Choice([\"hello\", \"world\"])),\n        (\"key=tag(ordered, choice(1,2,3))\", ng.p.TransitionChoice([1, 2, 3])),\n        (\n            \"key=tag(ordered, choice('hello','world', 'nevergrad'))\",\n            ng.p.TransitionChoice([\"hello\", \"world\", \"nevergrad\"]),\n        ),\n        (\"key=range(1,3)\", ng.p.Choice([1, 2])),\n        (\"key=shuffle(range(1,3))\", ng.p.Choice([1, 2])),\n        (\"key=range(1,5)\", ng.p.Choice([1, 2, 3, 4])),\n        (\"key=float(range(1,5))\", ng.p.Choice([1.0, 2.0, 3.0, 4.0])),\n        (\n            \"key=int(interval(1,12))\",\n            get_scalar_with_integer_bounds(lower=1, upper=12, type=ng.p.Scalar),\n        ),\n        (\"key=tag(log, interval(1,12))\", ng.p.Log(lower=1, upper=12)),\n        (\n            \"key=tag(log, int(interval(1,12)))\",\n            get_scalar_with_integer_bounds(lower=1, upper=12, type=ng.p.Log),\n        ),\n    ],\n)\ndef test_create_nevergrad_parameter_from_override(\n    input: Any,\n    expected: Any,\n) -> None:\n    parser = OverridesParser.create()\n    parsed = parser.parse_overrides([input])[0]\n    param = _impl.create_nevergrad_parameter_from_override(parsed)\n    assert_ng_param_equals(param, expected)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/example/multi-objective.py_from_typing_import_Tuple_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/example/multi-objective.py_from_typing_import_Tuple_", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/example/multi-objective.py", "file_name": "multi-objective.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 20, "span_ids": ["binh_and_korn", "impl", "docstring"], "tokens": 135}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Tuple\n\nimport hydra\nfrom omegaconf import DictConfig\n\n\n@hydra.main(version_base=None, config_path=\"multi-objective-conf\", config_name=\"config\")\ndef binh_and_korn(cfg: DictConfig) -> Tuple[float, float]:\n    x: float = cfg.x\n    y: float = cfg.y\n\n    v0 = 4 * x**2 + 4 * y**2\n    v1 = (x - 5) ** 2 + (y - 5) ** 2\n    return v0, v1\n\n\nif __name__ == \"__main__\":\n    binh_and_korn()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/__init__.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 4, "span_ids": ["docstring"], "tokens": 28}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\n\n__version__ = \"1.2.0\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_create_optuna_distribution_from_config_create_optuna_distribution_from_config.raise_NotImplementedError": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_create_optuna_distribution_from_config_create_optuna_distribution_from_config.raise_NotImplementedError", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py", "file_name": "_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 36, "end_line": 61, "span_ids": ["create_optuna_distribution_from_config"], "tokens": 253}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def create_optuna_distribution_from_config(\n    config: MutableMapping[str, Any]\n) -> BaseDistribution:\n    kwargs = dict(config)\n    if isinstance(config[\"type\"], str):\n        kwargs[\"type\"] = DistributionType[config[\"type\"]]\n    param = DistributionConfig(**kwargs)\n    if param.type == DistributionType.categorical:\n        assert param.choices is not None\n        return CategoricalDistribution(param.choices)\n    if param.type == DistributionType.int:\n        assert param.low is not None\n        assert param.high is not None\n        if param.log:\n            return IntLogUniformDistribution(int(param.low), int(param.high))\n        step = int(param.step) if param.step is not None else 1\n        return IntUniformDistribution(int(param.low), int(param.high), step=step)\n    if param.type == DistributionType.float:\n        assert param.low is not None\n        assert param.high is not None\n        if param.log:\n            return LogUniformDistribution(param.low, param.high)\n        if param.step is not None:\n            return DiscreteUniformDistribution(param.low, param.high, param.step)\n        return UniformDistribution(param.low, param.high)\n    raise NotImplementedError(f\"{param.type} is not supported by Optuna sweeper.\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_create_optuna_distribution_from_override_create_optuna_distribution_from_override.raise_NotImplementedError": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_create_optuna_distribution_from_override_create_optuna_distribution_from_override.raise_NotImplementedError", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py", "file_name": "_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 79, "end_line": 128, "span_ids": ["create_optuna_distribution_from_override"], "tokens": 447}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def create_optuna_distribution_from_override(override: Override) -> Any:\n    if not override.is_sweep_override():\n        return override.get_value_element_as_str()\n\n    value = override.value()\n    choices: List[CategoricalChoiceType] = []\n    if override.is_choice_sweep():\n        assert isinstance(value, ChoiceSweep)\n        for x in override.sweep_iterator(transformer=Transformer.encode):\n            assert isinstance(\n                x, (str, int, float, bool, type(None))\n            ), f\"A choice sweep expects str, int, float, bool, or None type. Got {type(x)}.\"\n            choices.append(x)\n        return CategoricalDistribution(choices)\n\n    if override.is_range_sweep():\n        assert isinstance(value, RangeSweep)\n        assert value.start is not None\n        assert value.stop is not None\n        if value.shuffle:\n            for x in override.sweep_iterator(transformer=Transformer.encode):\n                assert isinstance(\n                    x, (str, int, float, bool, type(None))\n                ), f\"A choice sweep expects str, int, float, bool, or None type. Got {type(x)}.\"\n                choices.append(x)\n            return CategoricalDistribution(choices)\n        if (\n            isinstance(value.start, float)\n            or isinstance(value.stop, float)\n            or isinstance(value.step, float)\n        ):\n            return DiscreteUniformDistribution(value.start, value.stop, value.step)\n        return IntUniformDistribution(\n            int(value.start), int(value.stop), step=int(value.step)\n        )\n\n    if override.is_interval_sweep():\n        assert isinstance(value, IntervalSweep)\n        assert value.start is not None\n        assert value.end is not None\n        if \"log\" in value.tags:\n            if isinstance(value.start, int) and isinstance(value.end, int):\n                return IntLogUniformDistribution(int(value.start), int(value.end))\n            return LogUniformDistribution(value.start, value.end)\n        else:\n            if isinstance(value.start, int) and isinstance(value.end, int):\n                return IntUniformDistribution(value.start, value.end)\n            return UniformDistribution(value.start, value.end)\n\n    raise NotImplementedError(f\"{override} is not supported by Optuna sweeper.\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py_DistributionConfig_defaults._sampler_tpe_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py_DistributionConfig_defaults._sampler_tpe_", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 104, "end_line": 129, "span_ids": ["DistributionConfig", "impl"], "tokens": 167}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass DistributionConfig:\n\n    # Type of distribution. \"int\", \"float\" or \"categorical\"\n    type: DistributionType\n\n    # Choices of categorical distribution\n    # List element type should be Union[str, int, float, bool]\n    choices: Optional[List[Any]] = None\n\n    # Lower bound of int or float distribution\n    low: Optional[float] = None\n\n    # Upper bound of int or float distribution\n    high: Optional[float] = None\n\n    # If True, space is converted to the log domain\n    # Valid for int or float distribution\n    log: bool = False\n\n    # Discritization step\n    # Valid for int or float distribution\n    step: Optional[float] = None\n\n\ndefaults = [{\"sampler\": \"tpe\"}]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py_ConfigStore_instance_st_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py_ConfigStore_instance_st_", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 187, "end_line": 235, "span_ids": ["impl:3"], "tokens": 288}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "ConfigStore.instance().store(\n    group=\"hydra/sweeper\",\n    name=\"optuna\",\n    node=OptunaSweeperConf,\n    provider=\"optuna_sweeper\",\n)\n\nConfigStore.instance().store(\n    group=\"hydra/sweeper/sampler\",\n    name=\"tpe\",\n    node=TPESamplerConfig,\n    provider=\"optuna_sweeper\",\n)\n\nConfigStore.instance().store(\n    group=\"hydra/sweeper/sampler\",\n    name=\"random\",\n    node=RandomSamplerConfig,\n    provider=\"optuna_sweeper\",\n)\n\nConfigStore.instance().store(\n    group=\"hydra/sweeper/sampler\",\n    name=\"cmaes\",\n    node=CmaEsSamplerConfig,\n    provider=\"optuna_sweeper\",\n)\n\nConfigStore.instance().store(\n    group=\"hydra/sweeper/sampler\",\n    name=\"nsgaii\",\n    node=NSGAIISamplerConfig,\n    provider=\"optuna_sweeper\",\n)\n\nConfigStore.instance().store(\n    group=\"hydra/sweeper/sampler\",\n    name=\"motpe\",\n    node=MOTPESamplerConfig,\n    provider=\"optuna_sweeper\",\n)\n\nConfigStore.instance().store(\n    group=\"hydra/sweeper/sampler\",\n    name=\"grid\",\n    node=GridSamplerConfig,\n    provider=\"optuna_sweeper\",\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/optuna_sweeper.py_from_typing_import_Any_L_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/optuna_sweeper.py_from_typing_import_Any_L_", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/optuna_sweeper.py", "file_name": "optuna_sweeper.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 55, "span_ids": ["OptunaSweeper.sweep", "OptunaSweeper.__init__", "docstring", "OptunaSweeper.setup", "OptunaSweeper"], "tokens": 295}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Any, List, Optional\n\nfrom hydra.plugins.sweeper import Sweeper\nfrom hydra.types import HydraContext, TaskFunction\nfrom omegaconf import DictConfig\n\nfrom .config import SamplerConfig\n\n\nclass OptunaSweeper(Sweeper):\n    \"\"\"Class to interface with Optuna\"\"\"\n\n    def __init__(\n        self,\n        sampler: SamplerConfig,\n        direction: Any,\n        storage: Optional[Any],\n        study_name: Optional[str],\n        n_trials: int,\n        n_jobs: int,\n        max_failure_rate: float,\n        search_space: Optional[DictConfig],\n        custom_search_space: Optional[str],\n        params: Optional[DictConfig],\n    ) -> None:\n        from ._impl import OptunaSweeperImpl\n\n        self.sweeper = OptunaSweeperImpl(\n            sampler,\n            direction,\n            storage,\n            study_name,\n            n_trials,\n            n_jobs,\n            max_failure_rate,\n            search_space,\n            custom_search_space,\n            params,\n        )\n\n    def setup(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> None:\n        self.sweeper.setup(\n            hydra_context=hydra_context, task_function=task_function, config=config\n        )\n\n    def sweep(self, arguments: List[str]) -> None:\n        return self.sweeper.sweep(arguments)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/setup.py_from_pathlib_import_Path_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/setup.py_from_pathlib_import_Path_", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 35, "span_ids": ["docstring"], "tokens": 309}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pathlib import Path\n\nfrom read_version import read_version\nfrom setuptools import find_namespace_packages, setup\n\nsetup(\n    name=\"hydra-optuna-sweeper\",\n    version=read_version(\"hydra_plugins/hydra_optuna_sweeper\", \"__init__.py\"),\n    author=\"Toshihiko Yanase, Hiroyuki Vincent Yamazaki\",\n    author_email=\"toshihiko.yanase@gmail.com, hiroyuki.vincent.yamazaki@gmail.com\",\n    description=\"Hydra Optuna Sweeper plugin\",\n    long_description=(Path(__file__).parent / \"README.md\").read_text(),\n    long_description_content_type=\"text/markdown\",\n    url=\"https://github.com/facebookresearch/hydra/\",\n    packages=find_namespace_packages(include=[\"hydra_plugins.*\"]),\n    classifiers=[\n        \"License :: OSI Approved :: MIT License\",\n        \"Programming Language :: Python :: 3.6\",\n        \"Programming Language :: Python :: 3.7\",\n        \"Programming Language :: Python :: 3.8\",\n        \"Programming Language :: Python :: 3.9\",\n        \"Programming Language :: Python :: 3.10\",\n        \"Operating System :: POSIX :: Linux\",\n        \"Operating System :: MacOS\",\n        \"Development Status :: 4 - Beta\",\n    ],\n    install_requires=[\n        \"hydra-core>=1.1.0.dev7\",\n        \"optuna>=2.10.0,<3.0.0\",\n    ],\n    include_package_data=True,\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/__init__.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/__init__.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/examples/simple/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/examples/simple/my_app.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/examples/simple/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 19, "span_ids": ["my_app", "impl:3", "docstring"], "tokens": 94}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nimport logging\nimport time\n\nimport hydra\nfrom omegaconf import DictConfig\n\nlog = logging.getLogger(__name__)\n\n\n@hydra.main(config_name=\"config\", config_path=\".\")\ndef my_app(cfg: DictConfig) -> None:\n    log.info(f\"Executing task {cfg.task}\")\n    time.sleep(1)\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/examples/upload_download/model/my_model.py_logging_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/examples/upload_download/model/my_model.py_logging_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/examples/upload_download/model/my_model.py", "file_name": "my_model.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 20, "span_ids": ["MyModel.__init__", "MyModel", "MyModel.save", "docstring"], "tokens": 136}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nfrom datetime import datetime\nfrom pathlib import Path\n\nlog = logging.getLogger(__name__)\n\n\nclass MyModel:\n    def __init__(self, random_seed: int):\n        self.random_seed = random_seed\n        log.info(\"Init my model\")\n\n    def save(self, checkpoint_path: str) -> None:\n        checkpoint_dir = Path(checkpoint_path)\n        checkpoint_dir.mkdir(parents=True, exist_ok=True)\n        log.info(f\"Created dir for checkpoints. dir={checkpoint_dir}\")\n        with open(checkpoint_dir / f\"checkpoint_{self.random_seed}.pt\", \"w\") as f:\n            f.write(f\"checkpoint@{datetime.now()}\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/examples/upload_download/train.py_logging_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/examples/upload_download/train.py_logging_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/examples/upload_download/train.py", "file_name": "train.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 21, "span_ids": ["main", "impl:3", "docstring"], "tokens": 101}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\n\nimport hydra\nfrom model.my_model import MyModel\nfrom omegaconf import DictConfig\n\nlog = logging.getLogger(__name__)\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef main(cfg: DictConfig) -> None:\n    log.info(\"Start training...\")\n    model = MyModel(cfg.random_seed)\n    # save checkpoint to current working dir.\n    model.save(cfg.checkpoint_path)\n\n\nif __name__ == \"__main__\":\n    main()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/__init__.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 4, "span_ids": ["docstring"], "tokens": 28}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\n\n__version__ = \"1.2.0\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py_RayDockerConf_RayProviderConf.key_pair.field_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py_RayDockerConf_RayProviderConf.key_pair.field_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py", "file_name": "_config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 42, "end_line": 70, "span_ids": ["RayProviderConf", "RayDockerConf"], "tokens": 243}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass RayDockerConf:\n    \"\"\"\n    This executes all commands on all nodes in the docker container,\n    and opens all the necessary ports to support the Ray cluster.\n    Empty string means disabled.\n\n    \"\"\"\n\n    # e.g., tensorflow/tensorflow:1.5.0-py3\n    image: str = \"\"\n    # e.g. ray_docker\n    container_name: str = \"\"\n    # If true, pulls latest version of image. Otherwise, `docker run` will only pull the image\n    # if no cached version is present.\n    pull_before_run: bool = True\n    # Extra options to pass into \"docker run\"\n    run_options: List[str] = field(default_factory=list)\n\n\n@dataclass\nclass RayProviderConf:\n    type: str = \"aws\"\n    region: str = \"us-west-2\"\n    availability_zone: str = \"us-west-2a,us-west-2b\"\n    cache_stopped_nodes: bool = False\n    key_pair: Dict[str, str] = field(\n        default_factory=lambda: {\"key_name\": \"hydra-${oc.env:USER,user}\"}\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py_RsyncConf_RsyncConf.exclude.field_default_factory_lis": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py_RsyncConf_RsyncConf.exclude.field_default_factory_lis", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py", "file_name": "_config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 73, "end_line": 91, "span_ids": ["RsyncConf"], "tokens": 181}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass RsyncConf:\n    \"\"\"\n    If your code contains more than one modules/files, you need to sync your code to the remote cluster.\n    The code will be synced to a tmp dir on the cluster.\n    code_dir could be a relative dir to where you run your app or a absolute dir.\n    Leave this empty if you don't need to sync code.\n\n    The conf is equivalent to run:\n    rsync {source} {target} --include={include} --exclude={exclude}\n\n    source/target will either be remote/local or local/remote depending on sync_up or sync down\n    Read RayAWSConf for more details.\n    \"\"\"\n\n    source_dir: Optional[str] = None\n    target_dir: Optional[str] = None\n    include: List[str] = field(default_factory=list)\n    exclude: List[str] = field(default_factory=list)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py_EnvSetupConf_RayRunEnv.docker._docker_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py_EnvSetupConf_RayRunEnv.docker._docker_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py", "file_name": "_config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 94, "end_line": 122, "span_ids": ["EnvSetupConf", "RayRunEnv"], "tokens": 242}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass EnvSetupConf:\n    pip_packages: Dict[str, str] = field(\n        default_factory=lambda: {\n            \"omegaconf\": \"${ray_pkg_version:omegaconf}\",\n            \"hydra_core\": \"${ray_pkg_version:hydra}\",\n            \"ray\": \"${ray_pkg_version:ray}\",\n            \"cloudpickle\": \"${ray_pkg_version:cloudpickle}\",\n            \"pickle5\": get_distribution(\"pickle5\").version,\n            \"hydra_ray_launcher\": get_distribution(\"hydra_ray_launcher\").version,\n        }\n    )\n\n    commands: List[str] = field(\n        default_factory=lambda: [\n            \"conda create -n hydra_${python_version:micro} python=${python_version:micro} -y\",\n            \"echo 'export PATH=\\\"$HOME/anaconda3/envs/hydra_${python_version:micro}/bin:$PATH\\\"' >> ~/.bashrc\",\n        ]\n    )\n\n\nclass RayRunEnv(Enum):\n    \"\"\"\n    https://docs.ray.io/en/releases-1.1.0/package-ref.html?highlight=exec#ray-exec\n    \"\"\"\n\n    auto = \"auto\"\n    host = \"host\"\n    docker = \"docker\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_core.py_logging_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_core.py_logging_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 64, "span_ids": ["launch", "docstring"], "tokens": 481}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nfrom pathlib import Path\nfrom typing import Sequence\n\nimport ray\nfrom hydra.core.singleton import Singleton\nfrom hydra.core.utils import JobReturn, configure_log, filter_overrides, setup_globals\nfrom omegaconf import open_dict\n\nfrom hydra_plugins.hydra_ray_launcher._launcher_util import (  # type: ignore\n    launch_job_on_ray,\n    start_ray,\n)\nfrom hydra_plugins.hydra_ray_launcher.ray_launcher import RayLauncher  # type: ignore\n\nlog = logging.getLogger(__name__)\n\n\ndef launch(\n    launcher: RayLauncher,\n    job_overrides: Sequence[Sequence[str]],\n    initial_job_idx: int,\n) -> Sequence[JobReturn]:\n    setup_globals()\n    assert launcher.config is not None\n    assert launcher.hydra_context is not None\n    assert launcher.task_function is not None\n\n    configure_log(launcher.config.hydra.hydra_logging, launcher.config.hydra.verbose)\n    sweep_dir = Path(str(launcher.config.hydra.sweep.dir))\n    sweep_dir.mkdir(parents=True, exist_ok=True)\n    log.info(\n        f\"Ray Launcher is launching {len(job_overrides)} jobs, \"\n        f\"sweep output dir: {sweep_dir}\"\n    )\n\n    start_ray(launcher.ray_cfg.init)\n\n    runs = []\n    for idx, overrides in enumerate(job_overrides):\n        idx = initial_job_idx + idx\n        ostr = \" \".join(filter_overrides(overrides))\n        log.info(f\"\\t#{idx} : {ostr}\")\n        sweep_config = launcher.hydra_context.config_loader.load_sweep_config(\n            launcher.config, list(overrides)\n        )\n        with open_dict(sweep_config):\n            # This typically coming from the underlying scheduler (SLURM_JOB_ID for instance)\n            # In that case, it will not be available here because we are still in the main process.\n            # but instead should be populated remotely before calling the task_function.\n            sweep_config.hydra.job.id = f\"job_id_for_{idx}\"\n            sweep_config.hydra.job.num = idx\n            ray_obj = launch_job_on_ray(\n                launcher.hydra_context,\n                launcher.ray_cfg.remote,\n                sweep_config,\n                launcher.task_function,\n                Singleton.get_state(),\n            )\n            runs.append(ray_obj)\n\n    return [ray.get(run) for run in runs]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_core_aws.py_logging__pickle_jobs.log_info_f_Pickle_for_job": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_core_aws.py_logging__pickle_jobs.log_info_f_Pickle_for_job", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_core_aws.py", "file_name": "_core_aws.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 51, "span_ids": ["_pickle_jobs", "_get_abs_code_dir", "docstring"], "tokens": 366}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nimport os\nimport tempfile\nfrom pathlib import Path\nfrom typing import Any, Dict, List, Sequence\n\nimport cloudpickle  # type: ignore\nimport pickle5 as pickle  # type: ignore\nfrom hydra.core.singleton import Singleton\nfrom hydra.core.utils import JobReturn, configure_log, filter_overrides, setup_globals\nfrom omegaconf import OmegaConf, open_dict, read_write\n\nfrom hydra_plugins.hydra_ray_launcher._launcher_util import (  # type: ignore\n    JOB_RETURN_PICKLE,\n    JOB_SPEC_PICKLE,\n    ray_tmp_dir,\n    rsync,\n)\nfrom hydra_plugins.hydra_ray_launcher.ray_aws_launcher import (  # type: ignore\n    RayAWSLauncher,\n)\n\n# mypy complains about \"unused type: ignore comment\" on macos\n# workaround adapted from: https://github.com/twisted/twisted/pull/1416\ntry:\n    import importlib\n\n    sdk: Any = importlib.import_module(\"ray.autoscaler.sdk\")\nexcept ModuleNotFoundError as e:\n    raise ImportError(e)\n\nlog = logging.getLogger(__name__)\n\n\ndef _get_abs_code_dir(code_dir: str) -> str:\n    if code_dir:\n        if os.path.isabs(code_dir):\n            return code_dir\n        else:\n            return os.path.join(os.getcwd(), code_dir)\n    else:\n        return \"\"\n\n\ndef _pickle_jobs(tmp_dir: str, **jobspec: Dict[Any, Any]) -> None:\n    path = os.path.join(tmp_dir, JOB_SPEC_PICKLE)\n    os.makedirs(os.path.dirname(path), exist_ok=True)\n    with open(path, \"wb\") as f:\n        cloudpickle.dump(jobspec, f)\n    log.info(f\"Pickle for jobs: {f.name}\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_core_aws.py_launch_jobs_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_core_aws.py_launch_jobs_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_core_aws.py", "file_name": "_core_aws.py", "file_type": "text/x-python", "category": "implementation", "start_line": 112, "end_line": 218, "span_ids": ["launch_jobs"], "tokens": 714}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def launch_jobs(\n    launcher: RayAWSLauncher, local_tmp_dir: str, sweep_dir: Path\n) -> Sequence[JobReturn]:\n    config = OmegaConf.to_container(\n        launcher.ray_cfg.cluster, resolve=True, enum_to_str=True\n    )\n    sdk.create_or_update_cluster(\n        config,\n        **launcher.create_update_cluster,\n    )\n    with tempfile.TemporaryDirectory() as local_tmp_download_dir:\n\n        with ray_tmp_dir(config, launcher.ray_cfg.run_env.name) as remote_tmp_dir:\n            sdk.rsync(\n                config,\n                source=os.path.join(local_tmp_dir, \"\"),\n                target=remote_tmp_dir,\n                down=False,\n            )\n\n            script_path = os.path.join(os.path.dirname(__file__), \"_remote_invoke.py\")\n            remote_script_path = os.path.join(remote_tmp_dir, \"_remote_invoke.py\")\n            sdk.rsync(\n                config,\n                source=script_path,\n                target=remote_script_path,\n                down=False,\n            )\n\n            if launcher.sync_up.source_dir:\n                source_dir = _get_abs_code_dir(launcher.sync_up.source_dir)\n                target_dir = (\n                    launcher.sync_up.target_dir\n                    if launcher.sync_up.target_dir\n                    else remote_tmp_dir\n                )\n                rsync(\n                    config,\n                    launcher.sync_up.include,\n                    launcher.sync_up.exclude,\n                    os.path.join(source_dir, \"\"),\n                    target_dir,\n                )\n            sdk.run_on_cluster(\n                config,\n                run_env=launcher.ray_cfg.run_env.name,\n                cmd=f\"python {remote_script_path} {remote_tmp_dir}\",\n            )\n\n            sdk.rsync(\n                config,\n                source=os.path.join(remote_tmp_dir, JOB_RETURN_PICKLE),\n                target=local_tmp_download_dir,\n                down=True,\n            )\n\n            sync_down_cfg = launcher.sync_down\n\n            if (\n                sync_down_cfg.target_dir\n                or sync_down_cfg.source_dir\n                or sync_down_cfg.include\n                or sync_down_cfg.exclude\n            ):\n                source_dir = (\n                    sync_down_cfg.source_dir if sync_down_cfg.source_dir else sweep_dir\n                )\n                target_dir = (\n                    sync_down_cfg.target_dir if sync_down_cfg.target_dir else sweep_dir\n                )\n                target_dir = Path(_get_abs_code_dir(target_dir))\n                target_dir.mkdir(parents=True, exist_ok=True)\n\n                rsync(\n                    config,\n                    launcher.sync_down.include,\n                    launcher.sync_down.exclude,\n                    os.path.join(source_dir),\n                    str(target_dir),\n                    up=False,\n                )\n                log.info(\n                    f\"Syncing outputs from remote dir: {source_dir} to local dir: {target_dir.absolute()} \"\n                )\n\n        if launcher.stop_cluster:\n            log.info(\"Stopping cluster now. (stop_cluster=true)\")\n            if launcher.ray_cfg.cluster.provider.cache_stopped_nodes:\n                log.info(\"NOT deleting the cluster (provider.cache_stopped_nodes=true)\")\n            else:\n                log.info(\"Deleted the cluster (provider.cache_stopped_nodes=false)\")\n            sdk.teardown_cluster(\n                config,\n                **launcher.teardown_cluster,\n            )\n        else:\n            log.warning(\n                \"NOT stopping cluster, this may incur extra cost for you. (stop_cluster=false)\"\n            )\n\n        with open(os.path.join(local_tmp_download_dir, JOB_RETURN_PICKLE), \"rb\") as f:\n            job_returns = pickle.load(f)  # nosec\n            assert isinstance(job_returns, List)\n            for run in job_returns:\n                assert isinstance(run, JobReturn)\n            return job_returns", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py__get_pem__get_pem.return.os_path_expanduser_f_s": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py__get_pem__get_pem.return.os_path_expanduser_f_s", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py", "file_name": "_launcher_util.py", "file_type": "text/x-python", "category": "implementation", "start_line": 108, "end_line": 117, "span_ids": ["_get_pem"], "tokens": 127}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _get_pem(config: Any) -> Any:\n    key_name = config[\"auth\"].get(\"ssh_private_key\")\n    if key_name is not None:\n        return key_name\n    key_name = config[\"provider\"].get(\"key_pair\", {}).get(\"key_name\")\n    if key_name:\n        return os.path.expanduser(os.path.expanduser(f\"~/.ssh/{key_name}.pem\"))\n    region = config[\"provider\"][\"region\"]\n    key_pair_name = f\"ray-autoscaler_{region}\"\n    return os.path.expanduser(f\"~/.ssh/{key_pair_name}.pem\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py_rsync_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py_rsync_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py", "file_name": "_launcher_util.py", "file_type": "text/x-python", "category": "implementation", "start_line": 120, "end_line": 146, "span_ids": ["rsync"], "tokens": 201}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def rsync(\n    config: Dict[Any, Any],\n    include: List[str],\n    exclude: List[str],\n    source: str,\n    target: str,\n    up: bool = True,\n) -> None:\n    keypair = _get_pem(config)\n    remote_ip = sdk.get_head_node_ip(config)\n    user = config[\"auth\"][\"ssh_user\"]\n    args = [\"rsync\", \"--rsh\", f\"ssh -i {keypair}  -o StrictHostKeyChecking=no\", \"-avz\"]\n\n    for i in include:\n        args += [f\"--include={i}\"]\n    for e in exclude:\n        args += [f\"--exclude={e}\"]\n\n    args += [\"--prune-empty-dirs\"]\n\n    if up:\n        target = f\"{user}@{remote_ip}:{target}\"\n    else:\n        source = f\"{user}@{remote_ip}:{source}\"\n    args += [source, target]\n    _run_command(args)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_remote_invoke.py_logging_log.logging_getLogger___name_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_remote_invoke.py_logging_log.logging_getLogger___name_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_remote_invoke.py", "file_name": "_remote_invoke.py", "file_type": "text/x-python", "category": "implementation", "start_line": 4, "end_line": 26, "span_ids": ["docstring"], "tokens": 136}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nimport os\nimport sys\nfrom pathlib import Path\nfrom typing import List\nfrom urllib.request import urlopen\n\nimport cloudpickle  # type: ignore\nimport pickle5 as pickle  # type: ignore\nimport ray\nfrom hydra.core.hydra_config import HydraConfig\nfrom hydra.core.singleton import Singleton\nfrom hydra.core.utils import JobReturn, setup_globals\nfrom omegaconf import open_dict\n\nfrom hydra_plugins.hydra_ray_launcher._launcher_util import (  # type: ignore\n    JOB_RETURN_PICKLE,\n    JOB_SPEC_PICKLE,\n    launch_job_on_ray,\n    start_ray,\n)\n\nlog = logging.getLogger(__name__)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_remote_invoke.py_launch_jobs_launch_jobs._dump_job_return_result_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_remote_invoke.py_launch_jobs_launch_jobs._dump_job_return_result_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_remote_invoke.py", "file_name": "_remote_invoke.py", "file_type": "text/x-python", "category": "implementation", "start_line": 29, "end_line": 64, "span_ids": ["launch_jobs"], "tokens": 295}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def launch_jobs(temp_dir: str) -> None:\n    runs = []\n    with open(os.path.join(temp_dir, JOB_SPEC_PICKLE), \"rb\") as f:\n        job_spec = pickle.load(f)  # nosec\n        hydra_context = job_spec[\"hydra_context\"]\n        singleton_state = job_spec[\"singleton_state\"]\n        sweep_configs = job_spec[\"sweep_configs\"]\n        task_function = job_spec[\"task_function\"]\n\n        instance_id = _get_instance_id()\n\n        sweep_dir = None\n\n        for sweep_config in sweep_configs:\n            with open_dict(sweep_config):\n                sweep_config.hydra.job.id = (\n                    f\"{instance_id}_{sweep_config.hydra.job.num}\"\n                )\n            setup_globals()\n            Singleton.set_state(singleton_state)\n            HydraConfig.instance().set_config(sweep_config)\n            ray_init = sweep_config.hydra.launcher.ray.init\n            ray_remote = sweep_config.hydra.launcher.ray.remote\n\n            if not sweep_dir:\n                sweep_dir = Path(str(HydraConfig.get().sweep.dir))\n                sweep_dir.mkdir(parents=True, exist_ok=True)\n\n            start_ray(ray_init)\n            ray_obj = launch_job_on_ray(\n                hydra_context, ray_remote, sweep_config, task_function, singleton_state\n            )\n            runs.append(ray_obj)\n\n    result = [ray.get(run) for run in runs]\n    _dump_job_return(result, temp_dir)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_remote_invoke.py__dump_job_return_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_remote_invoke.py__dump_job_return_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_remote_invoke.py", "file_name": "_remote_invoke.py", "file_type": "text/x-python", "category": "implementation", "start_line": 66, "end_line": 88, "span_ids": ["impl:3", "_dump_job_return", "_get_instance_id"], "tokens": 173}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _dump_job_return(result: List[JobReturn], tmp_dir: str) -> None:\n    path = os.path.join(tmp_dir, JOB_RETURN_PICKLE)\n    os.makedirs(os.path.dirname(path), exist_ok=True)\n    with open(path, \"wb\") as f:\n        cloudpickle.dump(result, f)\n    log.info(f\"Pickle for job returns: {f.name}\")\n\n\ndef _get_instance_id() -> str:\n    try:\n        r = urlopen(  # nosec\n            \"http://169.254.169.254/latest/meta-data/instance-id\", timeout=5\n        )\n        response = r.read().decode()\n        return str(response)\n    except Exception as e:\n        log.error(e)\n        return \"instance_id\"\n\n\nif __name__ == \"__main__\":\n    launch_jobs(sys.argv[1])", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/ray_aws_launcher.py_logging_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/ray_aws_launcher.py_logging_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/ray_aws_launcher.py", "file_name": "ray_aws_launcher.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 65, "span_ids": ["RayAWSLauncher", "RayAWSLauncher.__init__", "docstring", "RayAWSLauncher.launch", "RayAWSLauncher.setup"], "tokens": 432}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nfrom typing import Optional, Sequence\n\nfrom hydra.core.utils import JobReturn\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.types import HydraContext, TaskFunction\nfrom omegaconf import DictConfig\n\nfrom hydra_plugins.hydra_ray_launcher._config import (  # type: ignore\n    RayAWSConf,\n    RayCreateOrUpdateClusterConf,\n    RayLoggingConf,\n    RayTeardownClusterConf,\n    RsyncConf,\n)\n\nlog = logging.getLogger(__name__)\n\n\nclass RayAWSLauncher(Launcher):\n    def __init__(\n        self,\n        env_setup: DictConfig,\n        ray: RayAWSConf,\n        stop_cluster: bool,\n        sync_up: RsyncConf,\n        sync_down: RsyncConf,\n        logging: RayLoggingConf,\n        create_update_cluster: RayCreateOrUpdateClusterConf,\n        teardown_cluster: RayTeardownClusterConf,\n    ) -> None:\n        self.ray_cfg = ray\n        self.stop_cluster = stop_cluster\n        self.sync_up = sync_up\n        self.sync_down = sync_down\n        self.logging = logging\n        self.create_update_cluster = create_update_cluster\n        self.teardown_cluster = teardown_cluster\n        self.config: Optional[DictConfig] = None\n        self.hydra_context: Optional[HydraContext] = None\n        self.task_function: Optional[TaskFunction] = None\n        self.ray_yaml_path: Optional[str] = None\n        self.env_setup = env_setup\n\n    def setup(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> None:\n        self.config = config\n        self.hydra_context = hydra_context\n        self.task_function = task_function\n\n    def launch(\n        self, job_overrides: Sequence[Sequence[str]], initial_job_idx: int\n    ) -> Sequence[JobReturn]:\n        from . import _core_aws\n\n        return _core_aws.launch(\n            launcher=self, job_overrides=job_overrides, initial_job_idx=initial_job_idx\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/ray_launcher.py_from_typing_import_Option_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/ray_launcher.py_from_typing_import_Option_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/ray_launcher.py", "file_name": "ray_launcher.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 36, "span_ids": ["RayLauncher.setup", "docstring", "RayLauncher.launch", "RayLauncher.__init__", "RayLauncher"], "tokens": 237}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Optional, Sequence\n\nfrom hydra.core.utils import JobReturn\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.types import HydraContext, TaskFunction\nfrom omegaconf import DictConfig\n\n\nclass RayLauncher(Launcher):\n    def __init__(self, ray: DictConfig) -> None:\n        self.ray_cfg = ray\n        self.hydra_context: Optional[HydraContext] = None\n        self.task_function: Optional[TaskFunction] = None\n        self.config: Optional[DictConfig] = None\n\n    def setup(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> None:\n        self.config = config\n        self.hydra_context = hydra_context\n        self.task_function = task_function\n\n    def launch(\n        self, job_overrides: Sequence[Sequence[str]], initial_job_idx: int\n    ) -> Sequence[JobReturn]:\n        from . import _core\n\n        return _core.launch(\n            launcher=self, job_overrides=job_overrides, initial_job_idx=initial_job_idx\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/integration_test_tools/create_integration_test_ami.py_os_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/integration_test_tools/create_integration_test_ami.py_os_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/integration_test_tools/create_integration_test_ami.py", "file_name": "create_integration_test_ami.py", "file_type": "text/x-python", "category": "implementation", "start_line": 14, "end_line": 107, "span_ids": ["set_up_machine", "_run_command", "impl", "docstring"], "tokens": 810}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import os\nimport subprocess\nimport tempfile\nimport time\nfrom datetime import datetime\n\nimport boto3\nimport hydra\nfrom omegaconf import DictConfig, OmegaConf\n\n\ndef _run_command(command: str) -> str:\n    print(f\"{str(datetime.now())} - Running: {command}\")\n    output = subprocess.getoutput(command)\n    print(f\"{str(datetime.now())} - {output}\")\n    return output\n\n\n@hydra.main(config_path=\".\", config_name=\"create_integration_test_ami_config\")\ndef set_up_machine(cfg: DictConfig) -> None:\n    security_group_id = cfg.security_group_id\n    assert security_group_id != \"\", \"Security group cannot be empty!\"\n\n    python_versions = cfg.python_versions\n\n    # set up security group rules to allow pip install\n    _run_command(\n        f\"aws ec2 authorize-security-group-egress --group-id {security_group_id} \"\n        f\"--ip-permissions IpProtocol=tcp,FromPort=443,ToPort=443,IpRanges=[{{CidrIp=0.0.0.0/0}}]\"\n    )\n\n    with tempfile.NamedTemporaryFile(suffix=\".yaml\", delete=False) as f:\n        with open(f.name, \"w\") as file:\n            OmegaConf.save(config=cfg.ray_yaml, f=file.name, resolve=True)\n        yaml = f.name\n        _run_command(f\"ray up {yaml} -y --no-config-cache\")\n        os.chdir(hydra.utils.get_original_cwd())\n        _run_command(\n            f\"ray rsync_up {yaml} './setup_integration_test_ami.py' '/home/ubuntu/' \"\n        )\n\n        for v in python_versions:\n            print(f\"Setting up conda env for py version {v}\")\n            _run_command(\n                f\"ray exec {yaml} 'python ./setup_integration_test_ami.py {v}' \"\n            )\n\n        # remove security group egress rules\n        _run_command(\n            f\"aws ec2 revoke-security-group-egress --group-id {security_group_id} \"\n            f\"--ip-permissions IpProtocol=tcp,FromPort=443,ToPort=443,IpRanges=[{{CidrIp=0.0.0.0/0}}]\"\n        )\n\n        # export the instance to an AMI\n        ec2_resource = boto3.resource(\"ec2\")\n        ec2_client = boto3.client(\"ec2\")\n        instance_id = None\n        for instance in ec2_resource.instances.all():\n            for t in instance.tags:\n                if (\n                    t[\"Key\"] == \"Name\"\n                    and t[\"Value\"] == f\"ray-{cfg.ray_yaml.cluster_name}-head\"\n                    and instance.state[\"Name\"] == \"running\"\n                ):\n                    instance_id = instance.id\n                    break\n\n        assert instance_id is not None\n        try:\n            ami_name = f\"ray_test_ami_{str(datetime.now()).replace(' ', '_').replace(':', '.')}\"\n\n            ret = ec2_client.create_image(InstanceId=instance_id, Name=ami_name)\n            image_id = ret.get(\"ImageId\")\n\n            # wait till image is ready, 30 mins for now, this could take a while\n            for i in range(60):\n                time.sleep(30)\n                image = ec2_resource.Image(image_id)\n                if image.state == \"available\":\n                    print(\n                        f\"{image} ready for use now. Please update your env variable: AWS_RAY_AMI={image}. \"\n                        f\"Please also update the test user's IAM policy to allow access to the new AMI.\"\n                    )\n                    break\n                else:\n                    print(f\"{image} current state {image.state}\")\n        finally:\n            # Terminate instance now we have the AMI.\n            ec2_resource.instances.filter(InstanceIds=[instance_id]).terminate()\n\n\nif __name__ == \"__main__\":\n    set_up_machine()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/integration_test_tools/setup_integration_test_ami.py_subprocess_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/integration_test_tools/setup_integration_test_ami.py_subprocess_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/integration_test_tools/setup_integration_test_ami.py", "file_name": "setup_integration_test_ami.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 36, "span_ids": ["impl:3", "_run_command", "run", "docstring"], "tokens": 264}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import subprocess\nimport sys\nfrom datetime import datetime\n\ndependencies = [\n    \"boto3==1.22.6\",\n    \"hydra-core>=1.1.2\",\n    \"ray[default]==1.12.0\",\n    # https://github.com/aio-libs/aiohttp/issues/6203\n    \"aiohttp==3.8.1\",\n    \"cloudpickle==2.0.0\",\n    \"pickle5==0.0.11\",\n]\n\n\ndef _run_command(command: str) -> str:\n    print(f\"{str( datetime.now() )} - OUT: {command}\")\n    output = subprocess.getoutput(command)\n    print(f\"{str( datetime.now() )} - OUT: {output}\")\n    return output\n\n\ndef run(py_version):\n\n    _run_command(\"rm /home/ubuntu/ray_bootstrap_config.yaml\")\n\n    _run_command(f\"conda create -n hydra_{py_version} python={py_version} -y\")\n    pip_path = f\"/home/ubuntu/anaconda3/envs/hydra_{py_version}/bin/pip\"\n    for d in dependencies:\n        _run_command(f\"{pip_path} install {d}\")\n\n\nif __name__ == \"__main__\":\n    run(sys.argv[1])", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/setup.py_from_pathlib_import_Path_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/setup.py_from_pathlib_import_Path_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 36, "span_ids": ["docstring"], "tokens": 281}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pathlib import Path\n\nfrom read_version import read_version\nfrom setuptools import find_namespace_packages, setup\n\nsetup(\n    name=\"hydra-ray-launcher\",\n    version=read_version(\"hydra_plugins/hydra_ray_launcher\", \"__init__.py\"),\n    author=\"Jieru Hu\",\n    author_email=\"jieru@fb.com\",\n    description=\"Hydra Ray launcher plugin\",\n    long_description=(Path(__file__).parent / \"README.md\").read_text(),\n    long_description_content_type=\"text/markdown\",\n    url=\"https://github.com/facebookresearch/hydra/\",\n    packages=find_namespace_packages(include=[\"hydra_plugins.*\"]),\n    classifiers=[\n        \"License :: OSI Approved :: MIT License\",\n        \"Programming Language :: Python :: 3.7\",\n        \"Programming Language :: Python :: 3.8\",\n        \"Programming Language :: Python :: 3.9\",\n        \"Operating System :: MacOS\",\n        \"Operating System :: POSIX :: Linux\",\n    ],\n    install_requires=[\n        \"boto3==1.22.6\",\n        \"hydra-core>=1.1.2\",\n        \"ray[default]==1.12.0\",\n        \"aiohttp==3.8.1\",\n        \"cloudpickle==2.0.0\",\n        \"pickle5==0.0.11\",\n    ],\n    include_package_data=True,\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/__init__.py__", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py_logging_pip_lib_skip._": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py_logging_pip_lib_skip._", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py", "file_name": "test_ray_aws_launcher.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 103, "span_ids": ["impl:37", "docstring"], "tokens": 755}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nimport os\nimport random\nimport string\nimport subprocess\nimport sys\nimport tempfile\nfrom pathlib import Path\nfrom typing import Any, Dict, Generator, Optional\n\nimport boto3  # type: ignore\nimport pkg_resources\nfrom botocore.exceptions import NoCredentialsError, NoRegionError  # type: ignore\nfrom hydra.core.plugins import Plugins\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.test_utils.launcher_common_tests import (\n    IntegrationTestSuite,\n    LauncherTestSuite,\n)\nfrom hydra.test_utils.test_utils import chdir_hydra_root, chdir_plugin_root\nfrom omegaconf import OmegaConf\nfrom pytest import fixture, mark\n\nfrom hydra_plugins.hydra_ray_launcher.ray_aws_launcher import (  # type: ignore\n    RayAWSLauncher,\n)\n\n# mypy complains about \"unused type: ignore comment\" on macos\n# workaround adapted from: https://github.com/twisted/twisted/pull/1416\ntry:\n    import importlib\n\n    sdk: Any = importlib.import_module(\"ray.autoscaler.sdk\")\nexcept ModuleNotFoundError as e:\n    raise ImportError(e)\n\n\ntemp_remote_dir = \"/tmp/hydra_test/\"  # nosec\ntemp_remote_wheel_dir = \"/tmp/wheels/\"  # nosec\nsweep_dir = \"tmp_pytest_dir\"  # nosec\n\ncluster_name = \"IntegrationTest-\" + \"\".join(\n    [random.choice(string.ascii_letters + string.digits) for n in range(5)]\n)\nwin_msg = \"Ray doesn't support Windows.\"\ncur_py_version = f\"{sys.version_info.major}.{sys.version_info.minor}\"\n\naws_not_configured_msg = \"AWS credentials not configured correctly. Skipping AWS tests.\"\ntry:\n    ec2 = boto3.client(\"ec2\")\n    ec2.describe_regions()\n    aws_not_configured = False\nexcept (NoCredentialsError, NoRegionError):\n    aws_not_configured = True\n\n\nami = os.environ.get(\"AWS_RAY_AMI\", \"ami-05783271555147544\")\nsecurity_group_id = os.environ.get(\"AWS_RAY_SECURITY_GROUP\", \"sg-0a12b09a5ff961aee\")\nsubnet_id = os.environ.get(\"AWS_RAY_SUBNET\", \"subnet-acd2cfe7\")\ninstance_role = os.environ.get(\n    \"INSTANCE_ROLE_ARN\", \"arn:aws:iam::135937774131:instance-profile/ray-autoscaler-v1\"\n)\n\nassert (\n    ami != \"\" and security_group_id != \"\" and subnet_id != \"\" and instance_role != \"\"\n), (\n    f\"Missing variable for test, ami={ami}, security_group_id={security_group_id}, subnet_id={subnet_id}, \"\n    f\"instance_role={instance_role}\"\n)\n\nnode_config = {\n    \"InstanceType\": \"m5.large\",\n    \"ImageId\": ami,\n    \"SubnetId\": f\"{subnet_id}\",\n    \"SecurityGroupIds\": [security_group_id],\n    \"IamInstanceProfile\": {\"Arn\": instance_role},\n}\n\nray_nodes_conf = {\n    \"ray.head.default\": {\n        \"resources\": {},\n        \"node_config\": node_config,\n    },\n    \"ray.worker.default\": {\n        \"min_workers\": 0,\n        \"max_workers\": 2,\n        \"resources\": {},\n        \"node_config\": node_config,\n    },\n}\n\n\nray_nodes_conf_override = str(ray_nodes_conf).replace(\"'\", \"\").replace(\" \", \"\")\n\npip_lib_skip = [\n    \"omegaconf\",\n    \"hydra_core\",\n    \"ray\",\n    \"cloudpickle\",\n    \"pickle5\",\n    \"hydra_ray_launcher\",\n]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py_launcher_test_suites_overrides_integration_tests_overrid": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py_launcher_test_suites_overrides_integration_tests_overrid", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py", "file_name": "test_ray_aws_launcher.py", "file_type": "text/x-python", "category": "test", "start_line": 287, "end_line": 317, "span_ids": ["impl:52", "TestRayAWSLauncher", "impl:55"], "tokens": 216}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "launcher_test_suites_overrides = [\n    f\"hydra.launcher.sync_down.source_dir={sweep_dir}/\",\n    f\"hydra.launcher.sync_down.target_dir={sweep_dir}\",\n]\nlauncher_test_suites_overrides.extend(common_overrides)\n\n\n@mark.skipif(sys.platform.startswith(\"win\"), reason=win_msg)\n@mark.skipif(aws_not_configured, reason=aws_not_configured_msg)\n@mark.usefixtures(\"manage_cluster\")\n@mark.parametrize(\n    \"launcher_name, overrides, tmpdir\",\n    [\n        (\n            \"ray_aws\",\n            launcher_test_suites_overrides,\n            Path(sweep_dir),\n        )\n    ],\n)\nclass TestRayAWSLauncher(LauncherTestSuite):\n    pass\n\n\nintegration_tests_override = [\n    \"-m\",\n    \"hydra/launcher=ray_aws\",\n    f\"hydra.launcher.sync_down.source_dir={temp_remote_dir}/\",\n    f\"hydra.launcher.sync_down.target_dir={temp_remote_dir}\",\n]\nintegration_tests_override.extend(common_overrides)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py_TestRayAWSLauncherIntegration_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py_TestRayAWSLauncherIntegration_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py", "file_name": "test_ray_aws_launcher.py", "file_type": "text/x-python", "category": "test", "start_line": 282, "end_line": 307, "span_ids": ["TestRayAWSLauncherIntegration", "TestRayAWSLauncherIntegration.get_test_app_working_dir"], "tokens": 165}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.skipif(sys.platform.startswith(\"win\"), reason=win_msg)\n@mark.skipif(aws_not_configured, reason=aws_not_configured_msg)\n@mark.usefixtures(\"manage_cluster\")\n@mark.parametrize(\n    \"tmpdir,task_launcher_cfg,extra_flags\",\n    [\n        (\n            Path(temp_remote_dir),\n            {},\n            integration_tests_override,\n        )\n    ],\n)\nclass TestRayAWSLauncherIntegration(IntegrationTestSuite):\n\n    \"\"\"\n    Run this launcher through the integration test suite.\n    \"\"\"\n\n    def get_test_app_working_dir(self) -> Optional[Path]:\n        \"\"\"\n        By default test applications working dir is tmpdir, override this method if that's not the case.\n        This could be helpful when the tests kick off applications on remote machines.\n        \"\"\"\n        return Path(\"/home/ubuntu\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_launcher.py_sys_TestRayLauncher.pass": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_launcher.py_sys_TestRayLauncher.pass", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/tests/test_ray_launcher.py", "file_name": "test_ray_launcher.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 35, "span_ids": ["TestRayLauncher", "test_discovery", "docstring"], "tokens": 219}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import sys\n\nfrom hydra.core.plugins import Plugins\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.test_utils.launcher_common_tests import (\n    IntegrationTestSuite,\n    LauncherTestSuite,\n)\nfrom hydra.test_utils.test_utils import chdir_plugin_root\nfrom pytest import mark\n\nfrom hydra_plugins.hydra_ray_launcher.ray_launcher import RayLauncher  # type: ignore\n\nchdir_plugin_root()\n\nwin_msg = \"Ray doesn't support Windows.\"\n\n\n@mark.skipif(sys.platform.startswith(\"win\"), reason=win_msg)\ndef test_discovery() -> None:\n    # Tests that this plugin can be discovered via the plugins subsystem when looking for Launchers\n    assert RayLauncher.__name__ in [\n        x.__name__ for x in Plugins.instance().discover(Launcher)\n    ]\n\n\n@mark.skipif(sys.platform.startswith(\"win\"), reason=win_msg)\n@mark.parametrize(\"launcher_name, overrides\", [(\"ray\", [])])\nclass TestRayLauncher(LauncherTestSuite):\n    \"\"\"\n    Run the Launcher test suite on this launcher.\n    \"\"\"\n\n    pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_launcher.py_TestRayLauncherIntegration_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_launcher.py_TestRayLauncherIntegration_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/tests/test_ray_launcher.py", "file_name": "test_ray_launcher.py", "file_type": "text/x-python", "category": "test", "start_line": 38, "end_line": 59, "span_ids": ["TestRayLauncherIntegration"], "tokens": 104}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.skipif(sys.platform.startswith(\"win\"), reason=win_msg)\n@mark.parametrize(\n    \"task_launcher_cfg, extra_flags\",\n    [\n        (\n            {},\n            [\n                \"-m\",\n                \"hydra/launcher=ray\",\n                \"hydra/hydra_logging=hydra_debug\",\n                \"hydra/job_logging=disabled\",\n            ],\n        )\n    ],\n)\nclass TestRayLauncherIntegration(IntegrationTestSuite):\n    \"\"\"\n    Run this launcher through the integration test suite.\n    \"\"\"\n\n    pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/config.py_from_dataclasses_import_d_RedisConf.mock.II_oc_env_REDIS_MOCK_Fa": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/config.py_from_dataclasses_import_d_RedisConf.mock.II_oc_env_REDIS_MOCK_Fa", "embedding": null, "metadata": {"file_path": "plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 24, "span_ids": ["RedisConf", "docstring"], "tokens": 269}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\nfrom typing import Optional\n\nfrom hydra.core.config_store import ConfigStore\nfrom omegaconf import II\n\n\n@dataclass\nclass RedisConf:\n    # host address via REDIS_HOST environment variable, default: localhost\n    host: str = II(\"oc.env:REDIS_HOST,localhost\")\n    # port via REDIS_PORT environment variable, default: 6379\n    port: int = II(\"oc.env:REDIS_PORT,'6379'\")\n    # database via REDIS_DB environment variable, default: 0\n    db: Optional[str] = II(\"oc.env:REDIS_DB,'0'\")\n    # password via REDIS_PASSWORD environment variable, default: no password\n    password: Optional[str] = II(\"oc.env:REDIS_PASSWORD,null\")\n    # enable/disable SSL, via REDIS_SSL environment variable, default False\n    ssl: bool = II(\"oc.env:REDIS_SSL,'False'\")\n    # path to custom certs, via REDIS_SSL_CA_CERTS env veriable, default none\n    ssl_ca_certs: Optional[str] = II(\"oc.env:REDIS_SSL_CA_CERTS,null\")\n    # switch to run without redis server in single thread, for testing purposes only\n    mock: bool = II(\"oc.env:REDIS_MOCK,'False'\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/setup.py_from_pathlib_import_Path_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/setup.py_from_pathlib_import_Path_", "embedding": null, "metadata": {"file_path": "plugins/hydra_rq_launcher/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 36, "span_ids": ["docstring"], "tokens": 315}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pathlib import Path\n\nfrom read_version import read_version\nfrom setuptools import find_namespace_packages, setup\n\nsetup(\n    name=\"hydra-rq-launcher\",\n    version=read_version(\"hydra_plugins/hydra_rq_launcher\", \"__init__.py\"),\n    author=\"Jan-Matthis Lueckmann, Omry Yadan\",\n    author_email=\"mail@jan-matthis.de, omry@fb.com\",\n    description=\"Redis Queue (RQ) Launcher for Hydra apps\",\n    long_description=(Path(__file__).parent / \"README.md\").read_text(),\n    long_description_content_type=\"text/markdown\",\n    url=\"https://github.com/facebookresearch/hydra/\",\n    packages=find_namespace_packages(include=[\"hydra_plugins.*\"]),\n    classifiers=[\n        \"License :: OSI Approved :: MIT License\",\n        \"Programming Language :: Python :: 3.6\",\n        \"Programming Language :: Python :: 3.7\",\n        \"Programming Language :: Python :: 3.8\",\n        \"Programming Language :: Python :: 3.9\",\n        \"Programming Language :: Python :: 3.10\",\n        \"Operating System :: MacOS\",\n        \"Operating System :: POSIX :: Linux\",\n    ],\n    install_requires=[\n        \"cloudpickle\",\n        \"fakeredis<1.7.4\",  # https://github.com/dsoftwareinc/fakeredis-py/issues/3\n        \"hydra-core>=1.1.0.dev7\",\n        \"rq>=1.5.1\",\n    ],\n    include_package_data=True,\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/tests/test_rq_launcher.py_None_3_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/tests/test_rq_launcher.py_None_3_", "embedding": null, "metadata": {"file_path": "plugins/hydra_rq_launcher/tests/test_rq_launcher.py", "file_name": "test_rq_launcher.py", "file_type": "text/x-python", "category": "test", "start_line": 50, "end_line": 69, "span_ids": ["test_example_app", "TestRQLauncherIntegration"], "tokens": 202}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# https://github.com/rq/rq/issues/1244\n@mark.filterwarnings(\"ignore::DeprecationWarning\")\n@mark.parametrize(\"params_overrides\", [[], [\"hydra.launcher.redis.ssl=true\"]])\ndef test_example_app(\n    hydra_sweep_runner: TSweepRunner, params_overrides: List[str]\n) -> None:\n    with hydra_sweep_runner(\n        calling_file=\"example/my_app.py\",\n        calling_module=None,\n        task_function=None,\n        config_path=\".\",\n        config_name=\"config\",\n        overrides=[\"task=1,2,3,4\"] + params_overrides,\n    ) as sweep:\n        overrides = {(\"task=1\",), (\"task=2\",), (\"task=3\",), (\"task=4\",)}\n\n        assert sweep.returns is not None and len(sweep.returns[0]) == 4\n        for ret in sweep.returns[0]:\n            assert tuple(ret.overrides) in overrides", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/config.py_SlurmQueueConf_SlurmQueueConf.setup.None": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/config.py_SlurmQueueConf_SlurmQueueConf.setup.None", "embedding": null, "metadata": {"file_path": "plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 32, "end_line": 75, "span_ids": ["SlurmQueueConf"], "tokens": 452}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass SlurmQueueConf(BaseQueueConf):\n    \"\"\"Slurm configuration overrides and specific parameters\"\"\"\n\n    _target_: str = (\n        \"hydra_plugins.hydra_submitit_launcher.submitit_launcher.SlurmLauncher\"\n    )\n\n    # Params are used to configure sbatch, for more info check:\n    # https://github.com/facebookincubator/submitit/blob/master/submitit/slurm/slurm.py\n\n    # Following parameters are slurm specific\n    # More information: https://slurm.schedmd.com/sbatch.html\n    #\n    # slurm partition to use on the cluster\n    partition: Optional[str] = None\n    qos: Optional[str] = None\n    comment: Optional[str] = None\n    constraint: Optional[str] = None\n    exclude: Optional[str] = None\n    gres: Optional[str] = None\n    cpus_per_gpu: Optional[int] = None\n    gpus_per_task: Optional[int] = None\n    mem_per_gpu: Optional[str] = None\n    mem_per_cpu: Optional[str] = None\n    account: Optional[str] = None\n\n    # Following parameters are submitit specifics\n    #\n    # USR1 signal delay before timeout\n    signal_delay_s: int = 120\n    # Maximum number of retries on job timeout.\n    # Change this only after you confirmed your code can handle re-submission\n    # by properly resuming from the latest stored checkpoint.\n    # check the following for more info on slurm_max_num_timeout\n    # https://github.com/facebookincubator/submitit/blob/master/docs/checkpointing.md\n    max_num_timeout: int = 0\n    # Useful to add parameters which are not currently available in the plugin.\n    # Eg: {\"mail-user\": \"blublu@fb.com\", \"mail-type\": \"BEGIN\"}\n    additional_parameters: Dict[str, Any] = field(default_factory=dict)\n    # Maximum number of jobs running in parallel\n    array_parallelism: int = 256\n    # A list of commands to run in sbatch befure running srun\n    setup: Optional[List[str]] = None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/submitit_launcher.py_logging_BaseSubmititLauncher.setup.self.task_function.task_function": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/submitit_launcher.py_logging_BaseSubmititLauncher.setup.self.task_function.task_function", "embedding": null, "metadata": {"file_path": "plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/submitit_launcher.py", "file_name": "submitit_launcher.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 43, "span_ids": ["BaseSubmititLauncher.setup", "BaseSubmititLauncher.__init__", "BaseSubmititLauncher", "docstring"], "tokens": 285}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nimport os\nfrom pathlib import Path\nfrom typing import Any, Dict, List, Optional, Sequence\n\nfrom hydra.core.singleton import Singleton\nfrom hydra.core.utils import JobReturn, filter_overrides, run_job, setup_globals\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.types import HydraContext, TaskFunction\nfrom omegaconf import DictConfig, OmegaConf, open_dict\n\nfrom .config import BaseQueueConf\n\nlog = logging.getLogger(__name__)\n\n\nclass BaseSubmititLauncher(Launcher):\n\n    _EXECUTOR = \"abstract\"\n\n    def __init__(self, **params: Any) -> None:\n        self.params = {}\n        for k, v in params.items():\n            if OmegaConf.is_config(v):\n                v = OmegaConf.to_container(v, resolve=True)\n            self.params[k] = v\n\n        self.config: Optional[DictConfig] = None\n        self.task_function: Optional[TaskFunction] = None\n        self.sweep_configs: Optional[TaskFunction] = None\n        self.hydra_context: Optional[HydraContext] = None\n\n    def setup(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> None:\n        self.config = config\n        self.hydra_context = hydra_context\n        self.task_function = task_function", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/setup.py_from_pathlib_import_Path_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/setup.py_from_pathlib_import_Path_", "embedding": null, "metadata": {"file_path": "plugins/hydra_submitit_launcher/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 34, "span_ids": ["docstring"], "tokens": 285}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pathlib import Path\n\nfrom read_version import read_version\nfrom setuptools import find_namespace_packages, setup\n\nsetup(\n    name=\"hydra-submitit-launcher\",\n    version=read_version(\"hydra_plugins/hydra_submitit_launcher\", \"__init__.py\"),\n    author=\"Jeremy Rapin, Jieru Hu, Omry Yadan\",\n    author_email=\"jrapin@fb.com, jieru@fb.com, omry@fb.com\",\n    description=\"Submitit Launcher for Hydra apps\",\n    long_description=(Path(__file__).parent / \"README.md\").read_text(),\n    long_description_content_type=\"text/markdown\",\n    url=\"https://github.com/facebookincubator/submitit\",\n    packages=find_namespace_packages(include=[\"hydra_plugins.*\"]),\n    classifiers=[\n        \"License :: OSI Approved :: MIT License\",\n        \"Programming Language :: Python :: 3.7\",\n        \"Programming Language :: Python :: 3.8\",\n        \"Programming Language :: Python :: 3.9\",\n        \"Programming Language :: Python :: 3.10\",\n        \"Operating System :: MacOS\",\n        \"Operating System :: POSIX :: Linux\",\n        \"Development Status :: 4 - Beta\",\n    ],\n    install_requires=[\n        \"hydra-core>=1.1.0.dev7\",\n        \"submitit>=1.3.3\",\n    ],\n    include_package_data=True,\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/tests/test_submitit_launcher.py_from_pathlib_import_Path_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/tests/test_submitit_launcher.py_from_pathlib_import_Path_", "embedding": null, "metadata": {"file_path": "plugins/hydra_submitit_launcher/tests/test_submitit_launcher.py", "file_name": "test_submitit_launcher.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 63, "span_ids": ["test_discovery", "TestSubmititLauncher", "docstring", "TestSubmititLauncherIntegration", "test_example"], "tokens": 369}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pathlib import Path\nfrom typing import Type\n\nfrom hydra.core.plugins import Plugins\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.test_utils.launcher_common_tests import (\n    IntegrationTestSuite,\n    LauncherTestSuite,\n)\nfrom hydra.test_utils.test_utils import chdir_plugin_root, run_python_script\nfrom pytest import mark\n\nfrom hydra_plugins.hydra_submitit_launcher import submitit_launcher\n\nchdir_plugin_root()\n\n\n@mark.parametrize(\n    \"cls\", [submitit_launcher.LocalLauncher, submitit_launcher.SlurmLauncher]\n)\ndef test_discovery(cls: Type[Launcher]) -> None:\n    # Tests that this plugin can be discovered via the plugins subsystem when looking for Launchers\n    assert cls.__name__ in [x.__name__ for x in Plugins.instance().discover(Launcher)]\n\n\n@mark.parametrize(\n    \"launcher_name, overrides\", [(\"submitit_local\", [\"hydra.launcher.timeout_min=2\"])]\n)\nclass TestSubmititLauncher(LauncherTestSuite):\n    pass\n\n\n@mark.parametrize(\n    \"task_launcher_cfg, extra_flags\",\n    [\n        (\n            {},\n            [\n                \"-m\",\n                \"hydra/hydra_logging=disabled\",\n                \"hydra/job_logging=disabled\",\n                \"hydra/launcher=submitit_local\",\n                \"hydra.launcher.gpus_per_node=0\",\n                \"hydra.launcher.timeout_min=1\",\n            ],\n        ),\n    ],\n)\nclass TestSubmititLauncherIntegration(IntegrationTestSuite):\n    pass\n\n\ndef test_example(tmpdir: Path) -> None:\n    run_python_script(\n        [\n            \"example/my_app.py\",\n            \"-m\",\n            f\"hydra.sweep.dir={tmpdir}\",\n            \"hydra/launcher=submitit_local\",\n        ]\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/__init__.py_verify_hydra_pytest_plugin_not_installed_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/__init__.py_verify_hydra_pytest_plugin_not_installed_", "embedding": null, "metadata": {"file_path": "tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 4, "end_line": 17, "span_ids": ["verify_hydra_pytest_plugin_not_installed", "impl"], "tokens": 95}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def verify_hydra_pytest_plugin_not_installed() -> None:\n    try:\n        # This check can be removed in 1.1\n        import hydra_pytest_plugin  # type: ignore\n\n    except ImportError:\n        hydra_pytest_plugin = None\n\n    if hydra_pytest_plugin is not None:\n        raise ValueError(\"hydra-pytest-plugin is no longer required, please uninstall\")\n\n\nverify_hydra_pytest_plugin_not_installed()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/benchmark.py_from_typing_import_Any_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/benchmark.py_from_typing_import_Any_", "embedding": null, "metadata": {"file_path": "tests/benchmark.py", "file_name": "benchmark.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 26, "span_ids": ["test_config_loading", "config_loader", "docstring"], "tokens": 127}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Any\n\nfrom pytest import fixture\n\nfrom hydra._internal.config_loader_impl import ConfigLoaderImpl\nfrom hydra._internal.utils import create_config_search_path\nfrom hydra.types import RunMode\n\n\n@fixture(scope=\"module\")\ndef config_loader() -> Any:\n    return ConfigLoaderImpl(\n        config_search_path=create_config_search_path(\"pkg://hydra.test_utils.configs\")\n    )\n\n\ndef test_config_loading(config_loader: ConfigLoaderImpl, benchmark: Any) -> None:\n    benchmark(\n        config_loader.load_configuration,\n        \"config\",\n        overrides=[],\n        run_mode=RunMode.RUN,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/__init__.py_from_typing_import_Any_L_create_repo.return.ConfigRepository_config_s": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/__init__.py_from_typing_import_Any_L_create_repo.return.ConfigRepository_config_s", "embedding": null, "metadata": {"file_path": "tests/defaults_list/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 20, "span_ids": ["create_repo", "docstring"], "tokens": 147}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Any, List, Optional\n\nfrom hydra._internal.config_repository import ConfigRepository, IConfigRepository\nfrom hydra._internal.config_search_path_impl import ConfigSearchPathImpl\nfrom hydra._internal.defaults_list import (\n    DefaultsList,\n    Overrides,\n    _create_defaults_tree,\n    _create_root,\n)\nfrom hydra.core.default_element import DefaultsTreeNode\nfrom hydra.core.override_parser.overrides_parser import OverridesParser\n\n\ndef create_repo() -> IConfigRepository:\n    csp = ConfigSearchPathImpl()\n    csp.append(provider=\"test\", path=\"file://tests/defaults_list/data\")\n    csp.append(\"schema\", \"structured://\")\n    return ConfigRepository(config_search_path=csp)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/__init__.py__test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/__init__.py__test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 23, "end_line": 64, "span_ids": ["_test_defaults_tree_impl"], "tokens": 278}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _test_defaults_tree_impl(\n    config_name: Optional[str],\n    input_overrides: List[str],\n    expected: Any,\n    prepend_hydra: bool = False,\n    skip_missing: bool = False,\n) -> Optional[DefaultsList]:\n    parser = OverridesParser.create()\n    repo = create_repo()\n    root = _create_root(config_name=config_name, with_hydra=prepend_hydra)\n    overrides_list = parser.parse_overrides(overrides=input_overrides)\n    overrides = Overrides(repo=repo, overrides_list=overrides_list)\n\n    if expected is None or isinstance(expected, DefaultsTreeNode):\n        result = _create_defaults_tree(\n            repo=repo,\n            root=root,\n            overrides=overrides,\n            is_root_config=True,\n            interpolated_subtree=False,\n            skip_missing=skip_missing,\n        )\n        overrides.ensure_overrides_used()\n        overrides.ensure_deletions_used()\n        assert result == expected\n        return DefaultsList(\n            defaults=[], defaults_tree=result, overrides=overrides, config_overrides=[]\n        )\n    else:\n        with expected:\n            _create_defaults_tree(\n                repo=repo,\n                root=root,\n                overrides=overrides,\n                is_root_config=True,\n                interpolated_subtree=False,\n                skip_missing=skip_missing,\n            )\n            overrides.ensure_overrides_used()\n            overrides.ensure_deletions_used()\n        return None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_re_Plugins_instance_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_re_Plugins_instance_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 25, "span_ids": ["docstring"], "tokens": 142}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import re\nfrom textwrap import dedent\nfrom typing import Any, List, Optional\n\nfrom pytest import mark, param, raises, warns\n\nfrom hydra import version\nfrom hydra._internal.defaults_list import create_defaults_list\nfrom hydra.core.default_element import (\n    ConfigDefault,\n    GroupDefault,\n    InputDefault,\n    ResultDefault,\n)\nfrom hydra.core.override_parser.overrides_parser import OverridesParser\nfrom hydra.core.plugins import Plugins\nfrom hydra.errors import ConfigCompositionException\nfrom hydra.test_utils.test_utils import chdir_hydra_root\nfrom tests.defaults_list import create_repo\n\nchdir_hydra_root()\n\n# registers config source plugins\nPlugins.instance()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_loaded_defaults_list_test_loaded_defaults_list.assert_result_defaults_li": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_loaded_defaults_list_test_loaded_defaults_list.assert_result_defaults_li", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 27, "end_line": 70, "span_ids": ["test_loaded_defaults_list"], "tokens": 258}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_path,expected_list\",\n    [\n        param(\"empty\", [], id=\"empty\"),\n        param(\n            \"group_default\",\n            [GroupDefault(group=\"group1\", value=\"file1\")],\n            id=\"one_item\",\n        ),\n        param(\n            \"self_leading\",\n            [\n                ConfigDefault(path=\"_self_\"),\n                GroupDefault(group=\"group1\", value=\"file1\"),\n            ],\n            id=\"self_leading\",\n        ),\n        param(\n            \"self_trailing\",\n            [\n                GroupDefault(group=\"group1\", value=\"file1\"),\n                ConfigDefault(path=\"_self_\"),\n            ],\n            id=\"self_trailing\",\n        ),\n        param(\n            \"optional\",\n            [GroupDefault(group=\"group1\", value=\"file1\", optional=True)],\n            id=\"optional\",\n        ),\n        param(\n            \"config_default\",\n            [ConfigDefault(path=\"empty\")],\n            id=\"non_config_group_default\",\n        ),\n    ],\n)\ndef test_loaded_defaults_list(\n    config_path: str, expected_list: List[InputDefault]\n) -> None:\n    repo = create_repo()\n    result = repo.load_config(config_path=config_path)\n    assert result is not None\n    assert result.defaults_list == expected_list", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py__test_defaults_list_impl__test_defaults_list_impl.if_isinstance_expected_l.else_.with_expected_.create_defaults_list_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py__test_defaults_list_impl__test_defaults_list_impl.if_isinstance_expected_l.else_.with_expected_.create_defaults_list_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 107, "end_line": 134, "span_ids": ["_test_defaults_list_impl"], "tokens": 187}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _test_defaults_list_impl(\n    config_name: Optional[str],\n    overrides: List[str],\n    expected: Any,\n    prepend_hydra: bool = False,\n    skip_missing: bool = False,\n) -> None:\n    parser = OverridesParser.create()\n    repo = create_repo()\n    overrides_list = parser.parse_overrides(overrides=overrides)\n    if isinstance(expected, list) or expected is None:\n        result = create_defaults_list(\n            repo=repo,\n            config_name=config_name,\n            overrides_list=overrides_list,\n            prepend_hydra=prepend_hydra,\n            skip_missing=skip_missing,\n        )\n        assert result.defaults == expected\n    else:\n        with expected:\n            create_defaults_list(\n                repo=repo,\n                config_name=config_name,\n                overrides_list=overrides_list,\n                prepend_hydra=prepend_hydra,\n                skip_missing=skip_missing,\n            )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_get_paths_test_get_paths.assert_default_get_config": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_get_paths_test_get_paths.assert_default_get_config", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 137, "end_line": 183, "span_ids": ["test_get_paths"], "tokens": 313}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"default,expected_group_path,expected_config_path\",\n    [\n        param(\n            ConfigDefault(path=\"bar\", parent_base_dir=\"\"),\n            \"\",\n            \"bar\",\n            id=\"config_default:empty_basedir\",\n        ),\n        param(\n            ConfigDefault(path=\"bar\", parent_base_dir=\"foo\"),\n            \"foo\",\n            \"foo/bar\",\n            id=\"config_default:with_parent_basedir\",\n        ),\n        param(\n            GroupDefault(group=\"foo\", value=\"bar\", parent_base_dir=\"\"),\n            \"foo\",\n            \"foo/bar\",\n            id=\"group_default:empty_basedir\",\n        ),\n        param(\n            GroupDefault(group=\"foo\", value=\"bar\", parent_base_dir=\"zoo\"),\n            \"zoo/foo\",\n            \"zoo/foo/bar\",\n            id=\"group_default:with_parent_basedir\",\n        ),\n        # absolute group\n        param(\n            ConfigDefault(path=\"/foo/zoo\", parent_base_dir=\"irrelevant\"),\n            \"foo\",\n            \"foo/zoo\",\n            id=\"config_default:absolute\",\n        ),\n        param(\n            GroupDefault(group=\"/foo\", value=\"zoo\", parent_base_dir=\"irrelevant\"),\n            \"foo\",\n            \"foo/zoo\",\n            id=\"group_default:absolute\",\n        ),\n    ],\n)\ndef test_get_paths(\n    default: InputDefault, expected_group_path: Any, expected_config_path: Any\n) -> None:\n    assert default.get_group_path() == expected_group_path\n    assert default.get_config_path() == expected_config_path", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_get_default_package_test_get_default_package.assert_default_get_defaul": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_get_default_package_test_get_default_package.assert_default_get_defaul", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 186, "end_line": 238, "span_ids": ["test_get_default_package"], "tokens": 325}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"default,expected\",\n    [\n        param(\n            ConfigDefault(path=\"bar\", parent_base_dir=\"\"),\n            \"\",\n            id=\"config_default\",\n        ),\n        param(\n            ConfigDefault(path=\"foo/bar\", parent_base_dir=\"\"),\n            \"foo\",\n            id=\"config_default\",\n        ),\n        param(\n            ConfigDefault(path=\"bar\", parent_base_dir=\"foo\"),\n            \"foo\",\n            id=\"config_default\",\n        ),\n        param(\n            ConfigDefault(path=\"bar\", parent_base_dir=\"a/b\"),\n            \"a.b\",\n            id=\"config_default\",\n        ),\n        param(\n            GroupDefault(group=\"a\", value=\"a1\", parent_base_dir=\"\"),\n            \"a\",\n            id=\"group_default\",\n        ),\n        param(\n            GroupDefault(group=\"a/b\", value=\"a1\", parent_base_dir=\"\"),\n            \"a.b\",\n            id=\"group_default\",\n        ),\n        param(\n            GroupDefault(group=\"a/b\", value=\"a1\", parent_base_dir=\"x\"),\n            \"x.a.b\",\n            id=\"group_default\",\n        ),\n        # absolute group/path\n        param(\n            ConfigDefault(path=\"/foo/bar\", parent_base_dir=\"irrelevant\"),\n            \"foo\",\n            id=\"config_default:absolute\",\n        ),\n        param(\n            GroupDefault(group=\"/foo\", value=\"bar\", parent_base_dir=\"irrelevant\"),\n            \"foo\",\n            id=\"group_default:absolute\",\n        ),\n    ],\n)\ndef test_get_default_package(default: InputDefault, expected: Any) -> None:\n    assert default.get_default_package() == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_get_final_package_test_get_final_package.assert_default_get_final_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_get_final_package_test_get_final_package.assert_default_get_final_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 241, "end_line": 348, "span_ids": ["test_get_final_package"], "tokens": 664}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"default,parent_package, parent_base_dir, expected\",\n    [\n        # empty parent package\n        param(\n            ConfigDefault(path=\"bar\"),\n            \"\",\n            \"\",\n            \"\",\n            id=\"config_default:path=bar,parent_package=,package=\",\n        ),\n        param(\n            ConfigDefault(path=\"group1/bar\"),\n            \"\",\n            \"\",\n            \"group1\",\n            id=\"config_default:path=group1/bar,parent_package=, package=\",\n        ),\n        param(\n            ConfigDefault(path=\"bar\", package=\"pkg1\"),\n            \"\",\n            \"\",\n            \"pkg1\",\n            id=\"config_default:path=bar,parent_package=, package=pkg1\",\n        ),\n        param(\n            ConfigDefault(path=\"group1/bar\", package=\"pkg1\"),\n            \"\",\n            \"\",\n            \"pkg1\",\n            id=\"config_default:path=group1/bar,parent_package=,package=pkg1\",\n        ),\n        # non empty parent package\n        param(\n            ConfigDefault(path=\"bar\", package=\"pkg1\"),\n            \"a\",\n            \"\",\n            \"a.pkg1\",\n            id=\"config_default:path=bar,parent_package=a, package=pkg1\",\n        ),\n        # global package\n        param(\n            ConfigDefault(\n                path=\"bar\",\n                package=\"_global_.pkg1\",\n            ),\n            \"\",\n            \"\",\n            \"pkg1\",\n            id=\"config_default:parent_package=a, package=_global_.pkg1\",\n        ),\n        # global parent package\n        param(\n            ConfigDefault(path=\"bar\", package=\"pkg1\"),\n            \"_global_.foo\",\n            \"\",\n            \"foo.pkg1\",\n            id=\"config_default:parent_package=_global_.foo, package=pkg1\",\n        ),\n        # both globals\n        param(\n            ConfigDefault(path=\"bar\", package=\"_global_.pkg1\"),\n            \"_global_.foo\",\n            \"\",\n            \"pkg1\",\n            id=\"config_default:parent_package=_global_.foo, package=_global_.pkg1\",\n        ),\n        # _group_\n        param(\n            GroupDefault(group=\"foo\", value=\"bar\", package=\"_group_\"),\n            \"\",\n            \"\",\n            \"foo\",\n            id=\"group_default:parent_package=, package=_group_\",\n        ),\n        param(\n            ConfigDefault(path=\"foo/bar\", package=\"_group_\"),\n            \"\",\n            \"\",\n            \"foo\",\n            id=\"config_default:parent_package=, package=_group_\",\n        ),\n        param(\n            GroupDefault(group=\"foo\", value=\"bar\", package=\"_group_.zoo\"),\n            \"\",\n            \"\",\n            \"foo.zoo\",\n            id=\"group_default:parent_package=, package=_group_.zoo\",\n        ),\n        param(\n            ConfigDefault(\n                path=\"foo/bar\",\n                package=\"_group_.zoo\",\n            ),\n            \"\",\n            \"\",\n            \"foo.zoo\",\n            id=\"config_default:parent_package=, package=_group_.zoo\",\n        ),\n    ],\n)\ndef test_get_final_package(\n    default: InputDefault, parent_package: str, parent_base_dir: str, expected: Any\n) -> None:\n    default.update_parent(\n        parent_base_dir=parent_base_dir, parent_package=parent_package\n    )\n    assert default.get_final_package() == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_simple_defaults_list_cases_test_simple_defaults_list_cases._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_simple_defaults_list_cases_test_simple_defaults_list_cases._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 351, "end_line": 430, "span_ids": ["test_simple_defaults_list_cases"], "tokens": 457}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"empty\",\n            [],\n            [ResultDefault(config_path=\"empty\", package=\"\")],\n            id=\"empty\",\n        ),\n        param(\n            \"config_default\",\n            [],\n            [\n                ResultDefault(config_path=\"empty\", package=\"\", parent=\"config_default\"),\n                ResultDefault(config_path=\"config_default\", package=\"\", is_self=True),\n            ],\n            id=\"config_default\",\n        ),\n        param(\n            \"group_default\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/file1\", package=\"group1\", parent=\"group_default\"\n                ),\n                ResultDefault(config_path=\"group_default\", package=\"\", is_self=True),\n            ],\n            id=\"group_default\",\n        ),\n        param(\n            \"self_leading\",\n            [],\n            [\n                ResultDefault(config_path=\"self_leading\", package=\"\", is_self=True),\n                ResultDefault(\n                    config_path=\"group1/file1\", package=\"group1\", parent=\"self_leading\"\n                ),\n            ],\n            id=\"self_leading\",\n        ),\n        param(\n            \"self_trailing\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/file1\", package=\"group1\", parent=\"self_trailing\"\n                ),\n                ResultDefault(config_path=\"self_trailing\", package=\"\", is_self=True),\n            ],\n            id=\"self_trailing\",\n        ),\n        param(\n            \"include_nested_group\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file1\",\n                    package=\"group1.group2\",\n                    parent=\"group1/group_item1\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/group_item1\",\n                    parent=\"include_nested_group\",\n                    package=\"group1\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_group\", package=\"\", is_self=True\n                ),\n            ],\n            id=\"include_nested_group\",\n        ),\n    ],\n)\ndef test_simple_defaults_list_cases(\n    config_name: str, overrides: List[str], expected: List[ResultDefault]\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name, overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_override_package_in_defaults_list_test_override_package_in_defaults_list._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_override_package_in_defaults_list_test_override_package_in_defaults_list._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 433, "end_line": 502, "span_ids": ["test_override_package_in_defaults_list"], "tokens": 392}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"config_default_pkg1\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"empty\", package=\"pkg1\", parent=\"config_default_pkg1\"\n                ),\n                ResultDefault(\n                    config_path=\"config_default_pkg1\", package=\"\", is_self=True\n                ),\n            ],\n            id=\"config_default_pkg1\",\n        ),\n        param(\n            \"include_nested_config_item_pkg2\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file1\",\n                    package=\"group1.pkg2\",\n                    parent=\"group1/config_item_pkg2\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/config_item_pkg2\",\n                    parent=\"include_nested_config_item_pkg2\",\n                    package=\"group1\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_config_item_pkg2\",\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            id=\"include_nested_config_item_pkg2\",\n        ),\n        param(\n            \"include_nested_config_item_global\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file1\",\n                    package=\"\",\n                    parent=\"group1/config_item_global_\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/config_item_global_\",\n                    parent=\"include_nested_config_item_global\",\n                    package=\"group1\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_config_item_global\",\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            id=\"include_nested_config_item_global\",\n        ),\n    ],\n)\ndef test_override_package_in_defaults_list(\n    config_name: str, overrides: List[str], expected: List[ResultDefault]\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name, overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_include_nested_group_pkg2_test_include_nested_group_pkg2._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_include_nested_group_pkg2_test_include_nested_group_pkg2._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 505, "end_line": 557, "span_ids": ["test_include_nested_group_pkg2"], "tokens": 334}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"include_nested_group_pkg2\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file1\",\n                    package=\"group1.pkg2\",\n                    parent=\"group1/group_item1_pkg2\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/group_item1_pkg2\",\n                    parent=\"include_nested_group_pkg2\",\n                    package=\"group1\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_group_pkg2\", package=\"\", is_self=True\n                ),\n            ],\n            id=\"include_nested_group_pkg2\",\n        ),\n        param(\n            \"include_nested_group_pkg2\",\n            [\"group1/group2@group1.pkg2=file2\"],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file2\",\n                    package=\"group1.pkg2\",\n                    parent=\"group1/group_item1_pkg2\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/group_item1_pkg2\",\n                    parent=\"include_nested_group_pkg2\",\n                    package=\"group1\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_group_pkg2\", package=\"\", is_self=True\n                ),\n            ],\n            id=\"option_override:include_nested_group_pkg2\",\n        ),\n    ],\n)\ndef test_include_nested_group_pkg2(\n    config_name: str, overrides: List[str], expected: List[ResultDefault]\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name, overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_group_default_pkg1_test_group_default_pkg1._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_group_default_pkg1_test_group_default_pkg1._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 560, "end_line": 616, "span_ids": ["test_group_default_pkg1"], "tokens": 334}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"group_default_pkg1\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/file1\",\n                    package=\"pkg1\",\n                    parent=\"group_default_pkg1\",\n                ),\n                ResultDefault(\n                    config_path=\"group_default_pkg1\", package=\"\", is_self=True\n                ),\n            ],\n            id=\"group_default_pkg1\",\n        ),\n        param(\n            \"group_default_pkg1\",\n            [\"group1@pkg1=file2\"],\n            [\n                ResultDefault(\n                    config_path=\"group1/file2\",\n                    package=\"pkg1\",\n                    parent=\"group_default_pkg1\",\n                ),\n                ResultDefault(\n                    config_path=\"group_default_pkg1\", package=\"\", is_self=True\n                ),\n            ],\n            id=\"option_override:group_default_pkg1\",\n        ),\n        param(\n            \"group_default_pkg1\",\n            [\"group1@wrong=file2\"],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    dedent(\n                        \"\"\"\\\n                        Could not override 'group1@wrong'.\n                        Did you mean to override group1@pkg1?\n                        To append to your default list use +group1@wrong=file2\"\"\"\n                    )\n                ),\n            ),\n            id=\"option_override:group_default_pkg1:bad_package_in_override\",\n        ),\n    ],\n)\ndef test_group_default_pkg1(\n    config_name: str, overrides: List[str], expected: List[ResultDefault]\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name, overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_include_nested_group_global_test_include_nested_group_global._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_include_nested_group_global_test_include_nested_group_global._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 614, "end_line": 670, "span_ids": ["test_include_nested_group_global"], "tokens": 330}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"include_nested_group_global_\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file1\",\n                    package=\"\",\n                    parent=\"group1/group_item1_global_\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/group_item1_global_\",\n                    parent=\"include_nested_group_global_\",\n                    package=\"group1\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_group_global_\",\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            id=\"include_nested_config_item_global\",\n        ),\n        param(\n            \"include_nested_group_global_\",\n            [\"group1/group2@_global_=file2\"],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file2\",\n                    package=\"\",\n                    parent=\"group1/group_item1_global_\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/group_item1_global_\",\n                    parent=\"include_nested_group_global_\",\n                    package=\"group1\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_group_global_\",\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            id=\"option_override:include_nested_config_item_global\",\n        ),\n    ],\n)\ndef test_include_nested_group_global(\n    config_name: str, overrides: List[str], expected: List[ResultDefault]\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name, overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_include_nested_group_global_foo_test_include_nested_group_global_foo._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_include_nested_group_global_foo_test_include_nested_group_global_foo._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 678, "end_line": 734, "span_ids": ["test_include_nested_group_global_foo"], "tokens": 341}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"include_nested_group_global_foo\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file1\",\n                    package=\"foo\",\n                    parent=\"group1/group_item1_global_foo\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/group_item1_global_foo\",\n                    parent=\"include_nested_group_global_foo\",\n                    package=\"group1\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_group_global_foo\",\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            id=\"include_nested_group_global_foo\",\n        ),\n        param(\n            \"include_nested_group_global_foo\",\n            [\"group1/group2@foo=file2\"],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file2\",\n                    package=\"foo\",\n                    parent=\"group1/group_item1_global_foo\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/group_item1_global_foo\",\n                    parent=\"include_nested_group_global_foo\",\n                    package=\"group1\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_group_global_foo\",\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            id=\"include_nested_group_global_foo\",\n        ),\n    ],\n)\ndef test_include_nested_group_global_foo(\n    config_name: str, overrides: List[str], expected: List[ResultDefault]\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name, overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_include_nested_group_name__test_include_nested_group_name_.with_warns_UserWarning_m._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_include_nested_group_name__test_include_nested_group_name_.with_warns_UserWarning_m._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 737, "end_line": 827, "span_ids": ["test_include_nested_group_name_"], "tokens": 573}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected, warning_file\",\n    [\n        param(\n            \"include_nested_group_name_\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file1\",\n                    package=\"group1.file1\",\n                    parent=\"group1/group_item1_name_\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/group_item1_name_\",\n                    parent=\"include_nested_group_name_\",\n                    package=\"group1\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_group_name_\",\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            \"group1/group_item1_name_\",\n            id=\"include_nested_group_name_\",\n        ),\n        param(\n            \"include_nested_group_name_\",\n            [\"group1/group2@group1.file1=file2\"],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file2\",\n                    package=\"group1.file2\",\n                    parent=\"group1/group_item1_name_\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/group_item1_name_\",\n                    parent=\"include_nested_group_name_\",\n                    package=\"group1\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_group_name_\",\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            \"group1/group_item1_name_\",\n            id=\"include_nested_group_name_\",\n        ),\n        param(\n            \"include_nested_config_item_name_\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file1\",\n                    package=\"group1.file1\",\n                    parent=\"group1/config_item_name_\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/config_item_name_\",\n                    package=\"group1\",\n                    parent=\"include_nested_config_item_name_\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_config_item_name_\",\n                    package=\"\",\n                    is_self=True,\n                    primary=True,\n                ),\n            ],\n            \"group1/config_item_name_\",\n            id=\"include_nested_config_item_name_\",\n        ),\n    ],\n)\ndef test_include_nested_group_name_(\n    config_name: str,\n    overrides: List[str],\n    expected: List[ResultDefault],\n    warning_file: str,\n) -> None:\n    url = \"https://hydra.cc/docs/next/upgrades/1.0_to_1.1/changes_to_package_header\"\n    msg = f\"In {warning_file}: Defaults List contains deprecated keyword _name_, see {url}\\n\"\n\n    with warns(UserWarning, match=re.escape(msg)):\n        _test_defaults_list_impl(\n            config_name=config_name, overrides=overrides, expected=expected\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_primary_cfg_pkg_header_foo_test_primary_cfg_pkg_header_foo._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_primary_cfg_pkg_header_foo_test_primary_cfg_pkg_header_foo._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 830, "end_line": 884, "span_ids": ["test_primary_cfg_pkg_header_foo"], "tokens": 320}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"primary_pkg_header_foo\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/file1\",\n                    package=\"foo.group1\",\n                    parent=\"primary_pkg_header_foo\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/file1\",\n                    package=\"foo.pkg\",\n                    parent=\"primary_pkg_header_foo\",\n                ),\n                ResultDefault(\n                    config_path=\"primary_pkg_header_foo\",\n                    package=\"foo\",\n                    is_self=True,\n                ),\n            ],\n            id=\"primary_pkg_header_foo\",\n        ),\n        param(\n            \"primary_pkg_header_foo\",\n            [\"group1@foo.group1=file2\", \"group1@foo.pkg=file3\"],\n            [\n                ResultDefault(\n                    config_path=\"group1/file2\",\n                    package=\"foo.group1\",\n                    parent=\"primary_pkg_header_foo\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/file3\",\n                    package=\"foo.pkg\",\n                    parent=\"primary_pkg_header_foo\",\n                ),\n                ResultDefault(\n                    config_path=\"primary_pkg_header_foo\",\n                    package=\"foo\",\n                    is_self=True,\n                ),\n            ],\n            id=\"primary_pkg_header_foo\",\n        ),\n    ],\n)\ndef test_primary_cfg_pkg_header_foo(\n    config_name: str, overrides: List[str], expected: List[ResultDefault]\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name, overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_include_nested_group_pkg_header_foo_test_include_nested_group_pkg_header_foo._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_include_nested_group_pkg_header_foo_test_include_nested_group_pkg_header_foo._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 887, "end_line": 989, "span_ids": ["test_include_nested_group_pkg_header_foo"], "tokens": 666}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"include_nested_group_pkg_header_foo\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file1\",\n                    package=\"foo.group2\",\n                    parent=\"group1/group_item1_pkg_header_foo\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/group_item1_pkg_header_foo\",\n                    package=\"foo\",\n                    is_self=True,\n                    parent=\"include_nested_group_pkg_header_foo\",\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_group_pkg_header_foo\",\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            id=\"include_nested_group_pkg_header_foo\",\n        ),\n        param(\n            \"include_nested_group_pkg_header_foo\",\n            [\"group1/group2@foo.group2=file2\"],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file2\",\n                    package=\"foo.group2\",\n                    parent=\"group1/group_item1_pkg_header_foo\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/group_item1_pkg_header_foo\",\n                    package=\"foo\",\n                    is_self=True,\n                    parent=\"include_nested_group_pkg_header_foo\",\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_group_pkg_header_foo\",\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            id=\"include_nested_group_pkg_header_foo:override_nested\",\n        ),\n        param(\n            \"include_nested_group_pkg_header_foo\",\n            [\"group1=group_item2_pkg_header_foo\"],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file2\",\n                    package=\"foo.group2\",\n                    parent=\"group1/group_item2_pkg_header_foo\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/group_item2_pkg_header_foo\",\n                    package=\"foo\",\n                    is_self=True,\n                    parent=\"include_nested_group_pkg_header_foo\",\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_group_pkg_header_foo\",\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            id=\"include_nested_group_pkg_header_foo:override_first_level\",\n        ),\n        param(\n            \"include_nested_group_pkg_header_foo\",\n            [\"group1=group_item2_pkg_header_bar\"],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file2\",\n                    package=\"bar.group2\",\n                    parent=\"group1/group_item2_pkg_header_bar\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/group_item2_pkg_header_bar\",\n                    package=\"bar\",\n                    is_self=True,\n                    parent=\"include_nested_group_pkg_header_foo\",\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_group_pkg_header_foo\",\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            id=\"include_nested_group_pkg_header_foo:override_first_level_with_package_header_change\",\n        ),\n    ],\n)\ndef test_include_nested_group_pkg_header_foo(\n    config_name: str, overrides: List[str], expected: List[ResultDefault]\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name, overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_nested_package_header_is_absolute_test_nested_package_header_is_absolute._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_nested_package_header_is_absolute_test_nested_package_header_is_absolute._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 992, "end_line": 1037, "span_ids": ["test_nested_package_header_is_absolute"], "tokens": 290}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"empty\",\n            [\"+group1/group2=file1_pkg_header_foo\"],\n            [\n                ResultDefault(config_path=\"empty\", package=\"\", is_self=True),\n                ResultDefault(\n                    config_path=\"group1/group2/file1_pkg_header_foo\",\n                    parent=\"empty\",\n                    package=\"foo\",\n                ),\n            ],\n            id=\"included_from_overrides\",\n        ),\n        param(\n            \"empty\",\n            [\"+group1=group_item1_with_pkg_header_foo\"],\n            [\n                ResultDefault(\n                    config_path=\"empty\", package=\"\", is_self=True, primary=True\n                ),\n                ResultDefault(\n                    config_path=\"group1/group2/file1_pkg_header_foo\",\n                    parent=\"group1/group_item1_with_pkg_header_foo\",\n                    package=\"foo\",\n                    is_self=False,\n                ),\n                ResultDefault(\n                    config_path=\"group1/group_item1_with_pkg_header_foo\",\n                    parent=\"empty\",\n                    package=\"group1\",\n                    is_self=True,\n                ),\n            ],\n            id=\"included_from_overrides\",\n        ),\n    ],\n)\ndef test_nested_package_header_is_absolute(\n    config_name: str, overrides: List[str], expected: List[ResultDefault]\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name, overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_overriding_package_header_from_defaults_list_test_overriding_package_header_from_defaults_list._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_overriding_package_header_from_defaults_list_test_overriding_package_header_from_defaults_list._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 1040, "end_line": 1125, "span_ids": ["test_overriding_package_header_from_defaults_list"], "tokens": 564}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"include_nested_group_pkg_header_foo_override_pkg_bar\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file1\",\n                    parent=\"group1/group_item1_pkg_header_foo\",\n                    package=\"bar.group2\",\n                    is_self=False,\n                ),\n                ResultDefault(\n                    config_path=\"group1/group_item1_pkg_header_foo\",\n                    parent=\"include_nested_group_pkg_header_foo_override_pkg_bar\",\n                    package=\"bar\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_group_pkg_header_foo_override_pkg_bar\",\n                    parent=None,\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            id=\"include_nested_group_global_foo_override_pkg_bar\",\n        ),\n        param(\n            \"include_nested_group_pkg_header_foo_override_pkg_bar\",\n            [\"group1@bar=group_item2\"],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file2\",\n                    parent=\"group1/group_item2\",\n                    package=\"bar.group2\",\n                    is_self=False,\n                ),\n                ResultDefault(\n                    config_path=\"group1/group_item2\",\n                    parent=\"include_nested_group_pkg_header_foo_override_pkg_bar\",\n                    package=\"bar\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_group_pkg_header_foo_override_pkg_bar\",\n                    parent=None,\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            id=\"include_nested_group_global_foo_override_pkg_bar:override_group1\",\n        ),\n        param(\n            \"include_nested_group_pkg_header_foo_override_pkg_bar\",\n            [\"group1/group2@bar.group2=file2\"],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file2\",\n                    parent=\"group1/group_item1_pkg_header_foo\",\n                    package=\"bar.group2\",\n                    is_self=False,\n                ),\n                ResultDefault(\n                    config_path=\"group1/group_item1_pkg_header_foo\",\n                    parent=\"include_nested_group_pkg_header_foo_override_pkg_bar\",\n                    package=\"bar\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"include_nested_group_pkg_header_foo_override_pkg_bar\",\n                    parent=None,\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            id=\"include_nested_group_global_foo_override_pkg_bar:override_group2\",\n        ),\n    ],\n)\ndef test_overriding_package_header_from_defaults_list(\n    config_name: str, overrides: List[str], expected: List[ResultDefault]\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name, overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_with_hydra_config_test_with_hydra_config._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_with_hydra_config_test_with_hydra_config._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 1309, "end_line": 1380, "span_ids": ["test_with_hydra_config"], "tokens": 375}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"empty\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"hydra/help/default\",\n                    parent=\"hydra/config\",\n                    package=\"hydra.help\",\n                ),\n                ResultDefault(\n                    config_path=\"hydra/output/default\",\n                    parent=\"hydra/config\",\n                    package=\"hydra\",\n                ),\n                ResultDefault(\n                    config_path=\"hydra/config\",\n                    parent=\"<root>\",\n                    package=\"hydra\",\n                    is_self=True,\n                ),\n                ResultDefault(config_path=\"empty\", parent=\"<root>\", package=\"\"),\n            ],\n            id=\"just_hydra_config\",\n        ),\n        param(\n            \"override_hydra2\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"hydra/help/custom1\",\n                    parent=\"hydra/config\",\n                    package=\"hydra.help\",\n                    is_self=False,\n                ),\n                ResultDefault(\n                    config_path=\"hydra/output/default\",\n                    parent=\"hydra/config\",\n                    package=\"hydra\",\n                    is_self=False,\n                ),\n                ResultDefault(\n                    config_path=\"hydra/config\",\n                    parent=\"<root>\",\n                    package=\"hydra\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"override_hydra2\",\n                    parent=\"<root>\",\n                    package=\"\",\n                    primary=True,\n                ),\n            ],\n            id=\"override_hydra2\",\n        ),\n    ],\n)\ndef test_with_hydra_config(\n    config_name: str,\n    overrides: List[str],\n    expected: List[ResultDefault],\n    recwarn: Any,  # Testing deprecated behavior\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name,\n        overrides=overrides,\n        expected=expected,\n        prepend_hydra=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_experiment_use_case_test_experiment_use_case._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_experiment_use_case_test_experiment_use_case._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 1202, "end_line": 1236, "span_ids": ["test_experiment_use_case"], "tokens": 209}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"group_default\",\n            [\"+experiment=include_absolute_config\"],\n            [\n                ResultDefault(\n                    config_path=\"group1/file1\", package=\"group1\", parent=\"group_default\"\n                ),\n                ResultDefault(config_path=\"group_default\", package=\"\", is_self=True),\n                ResultDefault(\n                    config_path=\"group1/group2/file1\",\n                    package=\"group1.group2\",\n                    parent=\"experiment/include_absolute_config\",\n                ),\n                ResultDefault(\n                    config_path=\"experiment/include_absolute_config\",\n                    package=\"\",\n                    parent=\"group_default\",\n                    is_self=True,\n                ),\n            ],\n            id=\"group_default:experiment=include_absolute_config\",\n        ),\n    ],\n)\ndef test_experiment_use_case(\n    config_name: str, overrides: List[str], expected: List[ResultDefault]\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name,\n        overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_as_as_primary_test_as_as_primary._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_as_as_primary_test_as_as_primary._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 1239, "end_line": 1280, "span_ids": ["test_as_as_primary"], "tokens": 224}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"experiment/override_hydra\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"hydra/help/custom1\",\n                    package=\"hydra.help\",\n                    parent=\"hydra/config\",\n                ),\n                ResultDefault(\n                    config_path=\"hydra/output/default\",\n                    package=\"hydra\",\n                    parent=\"hydra/config\",\n                ),\n                ResultDefault(\n                    config_path=\"hydra/config\",\n                    package=\"hydra\",\n                    parent=\"<root>\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"experiment/override_hydra\",\n                    package=\"\",\n                    parent=\"<root>\",\n                ),\n            ],\n            id=\"group_default:experiment=include_absolute_config\",\n        ),\n    ],\n)\ndef test_as_as_primary(\n    config_name: str, overrides: List[str], expected: List[ResultDefault]\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name,\n        overrides=overrides,\n        expected=expected,\n        prepend_hydra=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_placeholder_test_placeholder._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_placeholder_test_placeholder._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 1283, "end_line": 1349, "span_ids": ["test_placeholder"], "tokens": 353}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"placeholder\",\n            [],\n            [ResultDefault(config_path=\"placeholder\", package=\"\", is_self=True)],\n            id=\"placeholder\",\n        ),\n        param(\n            \"placeholder\",\n            [\"group1=file1\"],\n            [\n                ResultDefault(\n                    config_path=\"group1/file1\", package=\"group1\", parent=\"placeholder\"\n                ),\n                ResultDefault(config_path=\"placeholder\", package=\"\", is_self=True),\n            ],\n            id=\"placeholder:override\",\n        ),\n        param(\n            \"nested_placeholder\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/placeholder\",\n                    package=\"group1\",\n                    parent=\"nested_placeholder\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"nested_placeholder\", package=\"\", is_self=True\n                ),\n            ],\n            id=\"nested_placeholder\",\n        ),\n        param(\n            \"nested_placeholder\",\n            [\"group1/group2=file1\"],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file1\",\n                    package=\"group1.group2\",\n                    parent=\"group1/placeholder\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/placeholder\",\n                    package=\"group1\",\n                    parent=\"nested_placeholder\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"nested_placeholder\", package=\"\", is_self=True\n                ),\n            ],\n            id=\"nested_placeholder:override\",\n        ),\n    ],\n)\ndef test_placeholder(\n    config_name: str, overrides: List[str], expected: List[ResultDefault]\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name,\n        overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_interpolation_simple_test_interpolation_simple._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_interpolation_simple_test_interpolation_simple._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 1352, "end_line": 1422, "span_ids": ["test_interpolation_simple"], "tokens": 414}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"interpolation_simple\",\n            [\"group1=file2\"],\n            [\n                ResultDefault(\n                    config_path=\"group1/file2\",\n                    package=\"group1\",\n                    parent=\"interpolation_simple\",\n                ),\n                ResultDefault(\n                    config_path=\"group2/file2\",\n                    package=\"group2\",\n                    parent=\"interpolation_simple\",\n                ),\n                ResultDefault(\n                    config_path=\"group1_group2/file2_file2\",\n                    package=\"group1_group2\",\n                    parent=\"interpolation_simple\",\n                ),\n                ResultDefault(\n                    config_path=\"interpolation_simple\", package=\"\", is_self=True\n                ),\n            ],\n            id=\"interpolation_simple\",\n        ),\n        param(\n            \"interpolation_with_nested_defaults_list\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/file1\",\n                    package=\"group1\",\n                    parent=\"interpolation_with_nested_defaults_list\",\n                ),\n                ResultDefault(\n                    config_path=\"group2/file1\",\n                    package=\"group2\",\n                    parent=\"interpolation_with_nested_defaults_list\",\n                ),\n                ResultDefault(\n                    config_path=\"group1_group2/empty1\",\n                    package=\"group1_group2\",\n                    parent=\"group1_group2/file1_file1_with_defaults_list\",\n                ),\n                ResultDefault(\n                    config_path=\"group1_group2/file1_file1_with_defaults_list\",\n                    package=\"group1_group2\",\n                    parent=\"interpolation_with_nested_defaults_list\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"interpolation_with_nested_defaults_list\",\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            id=\"interpolation_with_nested_defaults_list\",\n        ),\n    ],\n)\ndef test_interpolation_simple(\n    config_name: str, overrides: List[str], expected: List[ResultDefault]\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name,\n        overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_deletion_test_deletion._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_deletion_test_deletion._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 1425, "end_line": 1447, "span_ids": ["test_deletion"], "tokens": 123}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"include_nested_group\",\n            [\"~group1\"],\n            [\n                ResultDefault(\n                    config_path=\"include_nested_group\", package=\"\", is_self=True\n                ),\n            ],\n            id=\"delete:include_nested_group:group1\",\n        ),\n    ],\n)\ndef test_deletion(\n    config_name: str, overrides: List[str], expected: List[ResultDefault]\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name,\n        overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_duplicate_items_test_duplicate_items._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_duplicate_items_test_duplicate_items._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 1450, "end_line": 1484, "span_ids": ["test_duplicate_items"], "tokens": 176}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"error_duplicate_group\",\n            [],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    \"group1 appears more than once in the final defaults list\"\n                ),\n            ),\n            id=\"error_duplicate_group\",\n        ),\n        param(\n            \"error_duplicate_group_nested\",\n            [],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    \"group1/group2 appears more than once in the final defaults list\"\n                ),\n            ),\n            id=\"error_duplicate_group_nested\",\n        ),\n    ],\n)\ndef test_duplicate_items(\n    config_name: str, overrides: List[str], expected: List[ResultDefault]\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name,\n        overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_load_group_header_test_load_group_header._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_load_group_header_test_load_group_header._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 1487, "end_line": 1546, "span_ids": ["test_load_group_header"], "tokens": 350}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"group1/file_with_group_header\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/file_with_group_header\", package=\"group1\"\n                )\n            ],\n            id=\"group1/file_with_group_header\",\n        ),\n        param(\n            \"empty\",\n            [\"+group1=file_with_group_header\"],\n            [\n                ResultDefault(config_path=\"empty\", package=\"\", is_self=True),\n                ResultDefault(\n                    config_path=\"group1/file_with_group_header\",\n                    package=\"group1\",\n                    parent=\"empty\",\n                ),\n            ],\n            id=\"empty_group1/file_with_group_header\",\n        ),\n        param(\n            \"group1/group2/file_with_group_header\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/group2/file_with_group_header\",\n                    package=\"group1.group2\",\n                )\n            ],\n            id=\"group1/group2/file_with_group_header\",\n        ),\n        param(\n            \"empty\",\n            [\"+group1/group2=file_with_group_header\"],\n            [\n                ResultDefault(config_path=\"empty\", package=\"\", is_self=True),\n                ResultDefault(\n                    config_path=\"group1/group2/file_with_group_header\",\n                    package=\"group1.group2\",\n                    parent=\"empty\",\n                ),\n            ],\n            id=\"empty+group1/group2/file_with_group_header\",\n        ),\n    ],\n)\ndef test_load_group_header(\n    config_name: str, overrides: List[str], expected: List[ResultDefault], recwarn: Any\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name,\n        overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_with_none_primary_test_with_none_primary._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_with_none_primary_test_with_none_primary._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 1549, "end_line": 1581, "span_ids": ["test_with_none_primary"], "tokens": 149}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            None,\n            [],\n            [],\n            id=\"none\",\n        ),\n        param(\n            None,\n            [\"+group1=file1\"],\n            [\n                ResultDefault(\n                    config_path=\"group1/file1\",\n                    package=\"group1\",\n                    parent=\"_dummy_empty_config_\",\n                )\n            ],\n            id=\"none+group1=file1\",\n        ),\n    ],\n)\ndef test_with_none_primary(\n    config_name: str,\n    overrides: List[str],\n    expected: List[ResultDefault],\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name,\n        overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_with_none_primary_with_hydra_test_with_none_primary_with_hydra._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_with_none_primary_with_hydra_test_with_none_primary_with_hydra._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 1584, "end_line": 1650, "span_ids": ["test_with_none_primary_with_hydra"], "tokens": 336}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            None,\n            [],\n            [\n                ResultDefault(\n                    config_path=\"hydra/help/default\",\n                    package=\"hydra.help\",\n                    parent=\"hydra/config\",\n                ),\n                ResultDefault(\n                    config_path=\"hydra/output/default\",\n                    package=\"hydra\",\n                    parent=\"hydra/config\",\n                ),\n                ResultDefault(\n                    config_path=\"hydra/config\",\n                    package=\"hydra\",\n                    parent=\"<root>\",\n                    is_self=True,\n                ),\n            ],\n            id=\"none\",\n        ),\n        param(\n            None,\n            [\"+group1=file1\"],\n            [\n                ResultDefault(\n                    config_path=\"hydra/help/default\",\n                    package=\"hydra.help\",\n                    parent=\"hydra/config\",\n                ),\n                ResultDefault(\n                    config_path=\"hydra/output/default\",\n                    package=\"hydra\",\n                    parent=\"hydra/config\",\n                ),\n                ResultDefault(\n                    config_path=\"hydra/config\",\n                    package=\"hydra\",\n                    parent=\"<root>\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"group1/file1\",\n                    package=\"group1\",\n                    parent=\"_dummy_empty_config_\",\n                ),\n            ],\n            id=\"none+group1=file1\",\n        ),\n    ],\n)\ndef test_with_none_primary_with_hydra(\n    config_name: str,\n    overrides: List[str],\n    expected: List[ResultDefault],\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name,\n        overrides=overrides,\n        expected=expected,\n        prepend_hydra=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_two_config_items_test_two_config_items._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_two_config_items_test_two_config_items._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 1653, "end_line": 1685, "span_ids": ["test_two_config_items"], "tokens": 169}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"two_config_items\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/file1\",\n                    package=\"group1\",\n                    parent=\"two_config_items\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/file2\",\n                    package=\"group1\",\n                    parent=\"two_config_items\",\n                ),\n                ResultDefault(config_path=\"two_config_items\", package=\"\", is_self=True),\n            ],\n            id=\"two_config_items\",\n        ),\n    ],\n)\ndef test_two_config_items(\n    config_name: str,\n    overrides: List[str],\n    expected: List[ResultDefault],\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name,\n        overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_with_missing_config_test_with_missing_config._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_with_missing_config_test_with_missing_config._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 1688, "end_line": 1742, "span_ids": ["test_with_missing_config"], "tokens": 279}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,skip_missing,expected\",\n    [\n        param(\n            \"with_missing\",\n            [],\n            True,\n            [\n                ResultDefault(config_path=\"with_missing\", package=\"\", is_self=True),\n            ],\n            id=\"with_missing:ignore_missing\",\n        ),\n        param(\n            \"with_missing\",\n            [\"db=base_db\"],\n            True,\n            [\n                ResultDefault(\n                    config_path=\"db/base_db\", package=\"db\", parent=\"with_missing\"\n                ),\n                ResultDefault(config_path=\"with_missing\", package=\"\", is_self=True),\n            ],\n            id=\"with_missing:ignore_missing+override\",\n        ),\n        param(\n            \"with_missing\",\n            [],\n            False,\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    dedent(\n                        \"\"\"\\\n                        You must specify 'db', e.g, db=<OPTION>\n                        Available options:\n                        \\tbase_db\"\"\"\n                    )\n                ),\n            ),\n            id=\"with_missing:not_ignore_missing\",\n        ),\n    ],\n)\ndef test_with_missing_config(\n    config_name: str,\n    overrides: List[str],\n    skip_missing: bool,\n    expected: List[ResultDefault],\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name,\n        overrides=overrides,\n        expected=expected,\n        skip_missing=skip_missing,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_set_package_header_no_parent_pkg_test_set_package_header_no_parent_pkg.assert_default_get_final_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_set_package_header_no_parent_pkg_test_set_package_header_no_parent_pkg.assert_default_get_final_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 1745, "end_line": 1785, "span_ids": ["test_set_package_header_no_parent_pkg"], "tokens": 255}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"default,package_header,expected\",\n    [\n        param(\n            GroupDefault(group=\"group1\", value=\"file\"),\n            \"_group_\",\n            \"group1\",\n            id=\"gd:_group_\",\n        ),\n        param(\n            GroupDefault(group=\"group1\", value=\"file\"),\n            \"group1\",\n            \"group1\",\n            id=\"gd:group1\",\n        ),\n        param(\n            GroupDefault(group=\"group1\", value=\"file\"),\n            \"abc\",\n            \"abc\",\n            id=\"gd:abc\",\n        ),\n        param(\n            GroupDefault(group=\"group1\", value=\"file\"),\n            \"_global_\",\n            \"\",\n            id=\"gd:_global_\",\n        ),\n        param(\n            GroupDefault(group=\"group1\", value=\"file\"),\n            \"_group_._name_\",\n            \"group1.file\",\n            id=\"gd:_group_._name_\",\n        ),\n    ],\n)\ndef test_set_package_header_no_parent_pkg(\n    default: InputDefault, package_header: str, expected: str, recwarn: Any\n) -> None:\n    default.update_parent(parent_base_dir=\"\", parent_package=\"\")\n    default.set_package_header(package_header)\n    assert default.get_final_package() == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_set_package_header_with_parent_pkg_test_set_package_header_with_parent_pkg.assert_default_get_final_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_set_package_header_with_parent_pkg_test_set_package_header_with_parent_pkg.assert_default_get_final_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 1788, "end_line": 1804, "span_ids": ["test_set_package_header_with_parent_pkg"], "tokens": 119}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"default,package_header,expected\",\n    [\n        param(\n            GroupDefault(group=\"group1\", value=\"file\"),\n            \"_group_\",\n            \"parent_pkg.group1\",\n            id=\"gd:_group_\",\n        ),\n    ],\n)\ndef test_set_package_header_with_parent_pkg(\n    default: InputDefault, package_header: str, expected: str, recwarn: Any\n) -> None:\n    default.update_parent(parent_base_dir=\"\", parent_package=\"parent_pkg\")\n    default.set_package_header(package_header)\n    assert default.get_final_package() == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_select_multi_pkg_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_select_multi_pkg_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 1807, "end_line": 1844, "span_ids": ["test_select_multi_pkg"], "tokens": 193}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,skip_missing,expected\",\n    [\n        param(\n            \"select_multi_pkg\",\n            [],\n            True,\n            [\n                ResultDefault(\n                    config_path=\"group1/file1\", package=\"foo\", parent=\"select_multi_pkg\"\n                ),\n                ResultDefault(\n                    config_path=\"group1/file2\", package=\"foo\", parent=\"select_multi_pkg\"\n                ),\n                ResultDefault(\n                    config_path=\"select_multi_pkg\",\n                    package=\"\",\n                    is_self=True,\n                    primary=True,\n                ),\n            ],\n            id=\"select_multi_pkg\",\n        )\n    ],\n)\ndef test_select_multi_pkg(\n    config_name: str,\n    overrides: List[str],\n    skip_missing: bool,\n    expected: List[ResultDefault],\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name,\n        overrides=overrides,\n        expected=expected,\n        skip_missing=skip_missing,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_re_Plugins_instance_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_re_Plugins_instance_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 23, "span_ids": ["docstring"], "tokens": 122}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import re\nfrom textwrap import dedent\nfrom typing import Any, Dict, List, Optional\n\nfrom pytest import mark, param, raises, warns\n\nfrom hydra import version\nfrom hydra.core.default_element import (\n    ConfigDefault,\n    DefaultsTreeNode,\n    GroupDefault,\n    VirtualRoot,\n)\nfrom hydra.core.plugins import Plugins\nfrom hydra.errors import ConfigCompositionException\nfrom hydra.test_utils.test_utils import chdir_hydra_root\nfrom tests.defaults_list import _test_defaults_tree_impl\n\nchdir_hydra_root()\n\n# registers config source plugins\nPlugins.instance()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_simple_defaults_tree_cases_test_simple_defaults_tree_cases._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_simple_defaults_tree_cases_test_simple_defaults_tree_cases._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 25, "end_line": 136, "span_ids": ["test_simple_defaults_tree_cases"], "tokens": 591}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"empty\",\n            [],\n            DefaultsTreeNode(node=ConfigDefault(path=\"empty\")),\n            id=\"empty\",\n        ),\n        param(\n            \"config_default\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"config_default\"),\n                children=[ConfigDefault(path=\"empty\"), ConfigDefault(path=\"_self_\")],\n            ),\n            id=\"config_default\",\n        ),\n        param(\n            \"group_default\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group_default\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file1\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"group_default\",\n        ),\n        param(\n            \"optional\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"optional\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file1\", optional=True),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"optional\",\n        ),\n        param(\n            \"self_leading\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"self_leading\"),\n                children=[\n                    ConfigDefault(path=\"_self_\"),\n                    GroupDefault(group=\"group1\", value=\"file1\"),\n                ],\n            ),\n            id=\"self_leading\",\n        ),\n        param(\n            \"self_trailing\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"self_trailing\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file1\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"self_trailing\",\n        ),\n        param(\n            \"include_nested_group\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"include_nested_group\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"group_item1\"),\n                        children=[\n                            GroupDefault(group=\"group2\", value=\"file1\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"include_nested_group\",\n        ),\n        param(\n            \"include_nested_config_item\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"include_nested_config_item\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"config_item\"),\n                        children=[\n                            ConfigDefault(path=\"group2/file1\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"include_nested_config_item\",\n        ),\n    ],\n)\ndef test_simple_defaults_tree_cases(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name, input_overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_tree_with_append_override_test_tree_with_append_override._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_tree_with_append_override_test_tree_with_append_override._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 139, "end_line": 222, "span_ids": ["test_tree_with_append_override"], "tokens": 505}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"empty\",\n            [\"+group1=file1\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"empty\"),\n                children=[\n                    ConfigDefault(path=\"_self_\"),\n                    GroupDefault(group=\"group1\", value=\"file1\"),\n                ],\n            ),\n            id=\"empty:append\",\n        ),\n        param(\n            \"config_default\",\n            [\"+group1=file1\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"config_default\"),\n                children=[\n                    ConfigDefault(path=\"empty\"),\n                    ConfigDefault(path=\"_self_\"),\n                    GroupDefault(group=\"group1\", value=\"file1\"),\n                ],\n            ),\n            id=\"config_default:append\",\n        ),\n        param(\n            \"group_default\",\n            [\"+group1=file1\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group_default\"),\n                children=[\n                    # config tree allow for duplicate items\n                    GroupDefault(group=\"group1\", value=\"file1\"),\n                    ConfigDefault(path=\"_self_\"),\n                    GroupDefault(group=\"group1\", value=\"file1\"),\n                ],\n            ),\n            id=\"group_default:append\",\n        ),\n        param(\n            \"self_trailing\",\n            [\"+group1=file1\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"self_trailing\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file1\"),\n                    ConfigDefault(path=\"_self_\"),\n                    GroupDefault(group=\"group1\", value=\"file1\"),\n                ],\n            ),\n            id=\"self_trailing:append\",\n        ),\n        param(\n            \"include_nested_group\",\n            [\"+group2=file1\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"include_nested_group\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"group_item1\"),\n                        children=[\n                            GroupDefault(group=\"group2\", value=\"file1\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                    GroupDefault(group=\"group2\", value=\"file1\"),\n                ],\n            ),\n            id=\"include_nested_group:append\",\n        ),\n    ],\n)\ndef test_tree_with_append_override(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name, input_overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_simple_group_override_test_simple_group_override._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_simple_group_override_test_simple_group_override._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 225, "end_line": 297, "span_ids": ["test_simple_group_override"], "tokens": 420}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"group_default\",\n            [\"group1=file2\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group_default\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file2\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"group_default:override\",\n        ),\n        param(\n            \"optional\",\n            [\"group1=file2\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"optional\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file2\", optional=True),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"optional:override\",\n        ),\n        param(\n            \"include_nested_group\",\n            [\"group1=group_item2\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"include_nested_group\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"group_item2\"),\n                        children=[\n                            GroupDefault(group=\"group2\", value=\"file2\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"include_nested_group:override\",\n        ),\n        param(\n            \"include_nested_group\",\n            [\"group1/group2=file2\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"include_nested_group\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"group_item1\"),\n                        children=[\n                            GroupDefault(group=\"group2\", value=\"file2\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"include_nested_group:override_nested\",\n        ),\n    ],\n)\ndef test_simple_group_override(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name, input_overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_misc_errors_test_misc_errors._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_misc_errors_test_misc_errors._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 300, "end_line": 350, "span_ids": ["test_misc_errors"], "tokens": 272}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"error_self_pkg1\",\n            [],\n            raises(ValueError, match=re.escape(\"_self_@PACKAGE is not supported\")),\n            id=\"error_self_pkg1\",\n        ),\n        param(\n            \"error_changing_group\",\n            [],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    \"Multiple values for group1. To override a value use 'override group1: file2'\"\n                ),\n            ),\n            id=\"error_changing_group\",\n        ),\n        param(\n            \"duplicate_self\",\n            [],\n            raises(\n                ConfigCompositionException,\n                match=\"Duplicate _self_ defined in duplicate_self\",\n            ),\n            id=\"duplicate_self\",\n        ),\n        param(\n            \"invalid_override_in_defaults\",\n            [],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    \"In 'invalid_override_in_defaults': Could not override 'foo'. No match in the defaults list.\"\n                )\n                + \"$\",\n            ),\n            id=\"invalid_override_in_defaults\",\n        ),\n    ],\n)\ndef test_misc_errors(\n    config_name: str,\n    overrides: List[str],\n    expected: Any,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name, input_overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_defaults_tree_with_package_overrides_test_defaults_tree_with_package_overrides._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_defaults_tree_with_package_overrides_test_defaults_tree_with_package_overrides._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 353, "end_line": 425, "span_ids": ["test_defaults_tree_with_package_overrides"], "tokens": 431}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"config_default_pkg1\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"config_default_pkg1\"),\n                children=[\n                    ConfigDefault(path=\"empty\", package=\"pkg1\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"config_default_pkg1\",\n        ),\n        param(\n            \"group_default_pkg1\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group_default_pkg1\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file1\", package=\"pkg1\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"group_default_pkg1\",\n        ),\n        param(\n            \"include_nested_group_pkg2\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"include_nested_group_pkg2\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"group_item1_pkg2\"),\n                        children=[\n                            GroupDefault(group=\"group2\", value=\"file1\", package=\"pkg2\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"include_nested_group_pkg2\",\n        ),\n        param(\n            \"include_nested_config_item_pkg2\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"include_nested_config_item_pkg2\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"config_item_pkg2\"),\n                        children=[\n                            ConfigDefault(path=\"group2/file1\", package=\"pkg2\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"include_nested_config_item_pkg2\",\n        ),\n    ],\n)\ndef test_defaults_tree_with_package_overrides(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name, input_overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_defaults_tree_with_package_overrides__group_override_test_defaults_tree_with_package_overrides__group_override._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_defaults_tree_with_package_overrides__group_override_test_defaults_tree_with_package_overrides__group_override._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 428, "end_line": 502, "span_ids": ["test_defaults_tree_with_package_overrides__group_override"], "tokens": 493}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"group_default_pkg1\",\n            [\"group1@pkg1=file2\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group_default_pkg1\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file2\", package=\"pkg1\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"option_override:group_default_pkg1\",\n        ),\n        param(\n            \"group_default_pkg1\",\n            [\"group1@wrong=file2\"],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    dedent(\n                        \"\"\"\\\n                        Could not override 'group1@wrong'.\n                        Did you mean to override group1@pkg1?\n                        To append to your default list use +group1@wrong=file2\"\"\"\n                    )\n                ),\n            ),\n            id=\"option_override:group_default_pkg1:bad_package_in_override\",\n        ),\n        param(\n            \"include_nested_group_pkg2\",\n            [\"group1/group2@group1.pkg2=file2\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"include_nested_group_pkg2\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"group_item1_pkg2\"),\n                        children=[\n                            GroupDefault(group=\"group2\", value=\"file2\", package=\"pkg2\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"option_override:include_nested_group_pkg2\",\n        ),\n        param(\n            \"include_nested_group_pkg2\",\n            [\"group1/group2=file2\"],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    dedent(\n                        \"\"\"\\\n                        Could not override 'group1/group2'.\n                        Did you mean to override group1/group2@group1.pkg2?\n                        To append to your default list use +group1/group2=file2\"\"\"\n                    )\n                ),\n            ),\n            id=\"option_override:include_nested_group_pkg2:missing_package_in_override\",\n        ),\n    ],\n)\ndef test_defaults_tree_with_package_overrides__group_override(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name, input_overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_override_option_from_defaults_list_test_override_option_from_defaults_list._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_override_option_from_defaults_list_test_override_option_from_defaults_list._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 505, "end_line": 640, "span_ids": ["test_override_option_from_defaults_list"], "tokens": 737}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"override_same_level\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"override_same_level\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file2\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"override_same_level\",\n        ),\n        param(\n            \"override_same_level\",\n            [\"group1=file3\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"override_same_level\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file3\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"override_same_level:external_override\",\n        ),\n        param(\n            \"include_override_same_level\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"include_override_same_level\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(\n                            group=\"group1\",\n                            value=\"override_same_level\",\n                        ),\n                        children=[\n                            GroupDefault(\n                                group=\"group2\",\n                                value=\"file2\",\n                            ),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"include_override_same_level\",\n        ),\n        param(\n            \"include_override_same_level\",\n            [\"group1/group2=file3\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"include_override_same_level\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(\n                            group=\"group1\",\n                            value=\"override_same_level\",\n                        ),\n                        children=[\n                            GroupDefault(\n                                group=\"group2\",\n                                value=\"file3\",\n                            ),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"include_override_same_level:external_override\",\n        ),\n        param(\n            \"override_nested_group_item\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"override_nested_group_item\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"group_item1\"),\n                        children=[\n                            GroupDefault(group=\"group2\", value=\"file2\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"override_nested_group_item\",\n        ),\n        param(\n            \"override_nested_group_item\",\n            [\"group1/group2=file3\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"override_nested_group_item\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"group_item1\"),\n                        children=[\n                            GroupDefault(group=\"group2\", value=\"file3\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"override_nested_group_item:external_override\",\n        ),\n        param(\n            \"override_wrong_order\",\n            [],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    dedent(\n                        \"\"\"\\\n                        In override_wrong_order: Override 'group1 : file2' is defined before 'group1: file1'.\n                        Overrides must be at the end of the defaults list\"\"\"\n                    )\n                ),\n            ),\n            id=\"test_override_wrong_order_in_defaults_list\",\n        ),\n    ],\n)\ndef test_override_option_from_defaults_list(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name, input_overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_two_group_defaults_different_pkgs_test_two_group_defaults_different_pkgs._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_two_group_defaults_different_pkgs_test_two_group_defaults_different_pkgs._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 643, "end_line": 707, "span_ids": ["test_two_group_defaults_different_pkgs"], "tokens": 474}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"two_group_defaults_different_pkgs\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"two_group_defaults_different_pkgs\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file1\", package=\"pkg1\"),\n                    GroupDefault(group=\"group1\", value=\"file1\", package=\"pkg2\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"two_group_defaults_different_pkgs\",\n        ),\n        param(\n            \"two_group_defaults_different_pkgs\",\n            [\"group1@pkg1=file2\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"two_group_defaults_different_pkgs\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file2\", package=\"pkg1\"),\n                    GroupDefault(group=\"group1\", value=\"file1\", package=\"pkg2\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"two_group_defaults_different_pkgs:override_first\",\n        ),\n        param(\n            \"two_group_defaults_different_pkgs\",\n            [\"group1@pkg2=file2\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"two_group_defaults_different_pkgs\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file1\", package=\"pkg1\"),\n                    GroupDefault(group=\"group1\", value=\"file2\", package=\"pkg2\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"two_group_defaults_different_pkgs:override_second\",\n        ),\n        param(\n            \"two_group_defaults_different_pkgs_global\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"two_group_defaults_different_pkgs_global\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file1\"),\n                    GroupDefault(group=\"group1\", value=\"file2\", package=\"_global_\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"two_group_defaults_different_pkgs_global\",\n        ),\n    ],\n)\ndef test_two_group_defaults_different_pkgs(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name, input_overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_group_default_with_explicit_experiment_test_group_default_with_explicit_experiment._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_group_default_with_explicit_experiment_test_group_default_with_explicit_experiment._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 766, "end_line": 806, "span_ids": ["test_group_default_with_explicit_experiment"], "tokens": 255}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"group_default_with_explicit_experiment\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group_default_with_explicit_experiment\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file2\"),\n                    GroupDefault(group=\"experiment\", value=\"override_config_group\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"group_default_with_explicit_experiment\",\n        ),\n        param(\n            \"group_default_with_explicit_experiment\",\n            [\"group1=file3\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group_default_with_explicit_experiment\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file3\"),\n                    GroupDefault(group=\"experiment\", value=\"override_config_group\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"group_default_with_explicit_experiment:with_external_override\",\n        ),\n    ],\n)\ndef test_group_default_with_explicit_experiment(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_group_default_with_appended_experiment_test_group_default_with_appended_experiment._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_group_default_with_appended_experiment_test_group_default_with_appended_experiment._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 809, "end_line": 849, "span_ids": ["test_group_default_with_appended_experiment"], "tokens": 253}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"group_default\",\n            [\"+experiment=override_config_group\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group_default\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file2\"),\n                    ConfigDefault(path=\"_self_\"),\n                    GroupDefault(group=\"experiment\", value=\"override_config_group\"),\n                ],\n            ),\n            id=\"group_default_with_appended_experiment\",\n        ),\n        param(\n            \"group_default\",\n            [\"group1=file3\", \"+experiment=override_config_group\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group_default\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file3\"),\n                    ConfigDefault(path=\"_self_\"),\n                    GroupDefault(group=\"experiment\", value=\"override_config_group\"),\n                ],\n            ),\n            id=\"group_default_with_appended_experiment:with_external_override\",\n        ),\n    ],\n)\ndef test_group_default_with_appended_experiment(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_experiment_include_absolute_config_test_experiment_include_absolute_config._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_experiment_include_absolute_config_test_experiment_include_absolute_config._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 852, "end_line": 906, "span_ids": ["test_experiment_include_absolute_config"], "tokens": 326}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"group_default\",\n            [\"+experiment=include_absolute_config\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group_default\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file1\"),\n                    ConfigDefault(path=\"_self_\"),\n                    DefaultsTreeNode(\n                        node=GroupDefault(\n                            group=\"experiment\", value=\"include_absolute_config\"\n                        ),\n                        children=[\n                            GroupDefault(group=\"/group1/group2\", value=\"file1\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                ],\n            ),\n            id=\"include_absolute_config\",\n        ),\n        param(\n            \"group_default\",\n            [\"+experiment=include_absolute_config\", \"group1/group2=file2\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group_default\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file1\"),\n                    ConfigDefault(path=\"_self_\"),\n                    DefaultsTreeNode(\n                        node=GroupDefault(\n                            group=\"experiment\", value=\"include_absolute_config\"\n                        ),\n                        children=[\n                            GroupDefault(group=\"/group1/group2\", value=\"file2\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                ],\n            ),\n            id=\"include_absolute_config:with_external_override\",\n        ),\n    ],\n)\ndef test_experiment_include_absolute_config(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name, input_overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_experiment_overriding_hydra_group_test_experiment_overriding_hydra_group._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_experiment_overriding_hydra_group_test_experiment_overriding_hydra_group._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 909, "end_line": 976, "span_ids": ["test_experiment_overriding_hydra_group"], "tokens": 413}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"group_default\",\n            [\"+experiment=override_hydra\"],\n            DefaultsTreeNode(\n                node=VirtualRoot(),\n                children=[\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"hydra/config\"),\n                        children=[\n                            GroupDefault(group=\"help\", value=\"custom1\"),\n                            GroupDefault(group=\"output\", value=\"default\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"group_default\"),\n                        children=[\n                            GroupDefault(group=\"group1\", value=\"file1\"),\n                            ConfigDefault(path=\"_self_\"),\n                            GroupDefault(group=\"experiment\", value=\"override_hydra\"),\n                        ],\n                    ),\n                ],\n            ),\n            id=\"experiment_overriding_hydra_group\",\n        ),\n        param(\n            \"group_default\",\n            [\"+experiment=override_hydra\", \"hydra/help=custom2\"],\n            DefaultsTreeNode(\n                node=VirtualRoot(),\n                children=[\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"hydra/config\"),\n                        children=[\n                            GroupDefault(group=\"help\", value=\"custom2\"),\n                            GroupDefault(group=\"output\", value=\"default\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"group_default\"),\n                        children=[\n                            GroupDefault(group=\"group1\", value=\"file1\"),\n                            ConfigDefault(path=\"_self_\"),\n                            GroupDefault(group=\"experiment\", value=\"override_hydra\"),\n                        ],\n                    ),\n                ],\n            ),\n            id=\"experiment_overriding_hydra_group:with_external_hydra_override\",\n        ),\n    ],\n)\ndef test_experiment_overriding_hydra_group(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n        prepend_hydra=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_experiment_overriding_global_group_test_experiment_overriding_global_group._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_experiment_overriding_global_group_test_experiment_overriding_global_group._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 1131, "end_line": 1176, "span_ids": ["test_experiment_overriding_global_group"], "tokens": 278}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"group_default\",\n            [\"+experiment=override_with_global_default\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group_default\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file2\"),\n                    ConfigDefault(path=\"_self_\"),\n                    GroupDefault(\n                        group=\"experiment\", value=\"override_with_global_default\"\n                    ),\n                ],\n            ),\n            id=\"include_absolute_config:override_with_global_default\",\n        ),\n        param(\n            \"group_default_at_global\",\n            [\"+experiment=override_with_global_default2\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group_default_at_global\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file2\", package=\"_global_\"),\n                    ConfigDefault(path=\"_self_\"),\n                    GroupDefault(\n                        group=\"experiment\", value=\"override_with_global_default2\"\n                    ),\n                ],\n            ),\n            id=\"include_absolute_config:override_with_global_default2\",\n        ),\n    ],\n)\ndef test_experiment_overriding_global_group(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n        prepend_hydra=False,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_experiment_as_primary_config_test_experiment_as_primary_config._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_experiment_as_primary_config_test_experiment_as_primary_config._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 1012, "end_line": 1046, "span_ids": ["test_experiment_as_primary_config"], "tokens": 192}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"experiment/override_hydra\",\n            [],\n            DefaultsTreeNode(\n                node=VirtualRoot(),\n                children=[\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"hydra/config\"),\n                        children=[\n                            GroupDefault(group=\"help\", value=\"custom1\"),\n                            GroupDefault(group=\"output\", value=\"default\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"experiment/override_hydra\"),\n                ],\n            ),\n            id=\"experiment_overriding_hydra_group_as_primary\",\n        ),\n    ],\n)\ndef test_experiment_as_primary_config(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n        prepend_hydra=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_extension_use_cases_test_extension_use_cases._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_extension_use_cases_test_extension_use_cases._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 1049, "end_line": 1135, "span_ids": ["test_extension_use_cases"], "tokens": 472}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"test_extend_same_group\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"test_extend_same_group\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"extend\", value=\"here\"),\n                        children=[\n                            ConfigDefault(path=\"base_db\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"test_extend_same_group\",\n        ),\n        param(\n            \"test_extend_from_external_group\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"test_extend_from_external_group\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"extend\", value=\"external\"),\n                        children=[\n                            ConfigDefault(path=\"/db/base_db\", package=\"\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"test_extend_from_external_group\",\n        ),\n        param(\n            \"test_extend_from_nested_group\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"test_extend_from_nested_group\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"extend\", value=\"nested\"),\n                        children=[\n                            ConfigDefault(path=\"nested/base_db\", package=\"\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"test_extend_from_nested_group\",\n        ),\n        param(\n            \"test_extend_from_nested_group\",\n            [\"extend=nested_here_keyword\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"test_extend_from_nested_group\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"extend\", value=\"nested_here_keyword\"),\n                        children=[\n                            ConfigDefault(path=\"nested/base_db\", package=\"\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"nested_here_keyword\",\n        ),\n    ],\n)\ndef test_extension_use_cases(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_with_missing_test_with_missing._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_with_missing_test_with_missing._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 1305, "end_line": 1444, "span_ids": ["test_with_missing"], "tokens": 801}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"with_missing\",\n            [],\n            raises(\n                ConfigCompositionException,\n                match=dedent(\n                    \"\"\"\\\n                You must specify 'db', e.g, db=<OPTION>\n                Available options:\"\"\"\n                ),\n            ),\n            id=\"with_missing\",\n        ),\n        param(\n            \"with_missing_at_global\",\n            [],\n            raises(\n                ConfigCompositionException,\n                match=dedent(\n                    \"\"\"\\\n                You must specify 'db@_global_', e.g, db@_global_=<OPTION>\n                Available options:\"\"\"\n                ),\n            ),\n            id=\"with_missing_at_global\",\n        ),\n        param(\n            \"with_missing\",\n            [\"db=base_db\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"with_missing\"),\n                children=[\n                    GroupDefault(group=\"db\", value=\"base_db\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"with_missing:override\",\n        ),\n        param(\n            \"with_missing_at_foo\",\n            [],\n            raises(\n                ConfigCompositionException,\n                match=dedent(\n                    \"\"\"\\\n                You must specify 'db@foo', e.g, db@foo=<OPTION>\n                Available options:\"\"\"\n                ),\n            ),\n            id=\"with_missing_at_foo\",\n        ),\n        param(\n            \"with_missing_at_foo\",\n            [\"db@foo=base_db\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"with_missing_at_foo\"),\n                children=[\n                    GroupDefault(group=\"db\", value=\"base_db\", package=\"foo\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"with_missing_at_foo:override\",\n        ),\n        param(\n            \"empty\",\n            [\"+group1=with_missing\"],\n            raises(\n                ConfigCompositionException,\n                match=dedent(\n                    \"\"\"\\\n                    You must specify 'group1/group2', e.g, group1/group2=<OPTION>\n                    Available options\"\"\"\n                ),\n            ),\n            id=\"nested_missing\",\n        ),\n        param(\n            \"empty\",\n            [\"+group1=with_missing\", \"group1/group2=file1\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"empty\"),\n                children=[\n                    ConfigDefault(path=\"_self_\"),\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"with_missing\"),\n                        children=[\n                            GroupDefault(group=\"group2\", value=\"file1\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                ],\n            ),\n            id=\"nested_missing:override\",\n        ),\n        param(\n            \"empty\",\n            [\"+group1=with_missing_at_foo\"],\n            raises(\n                ConfigCompositionException,\n                match=dedent(\n                    \"\"\"\\\n                    You must specify 'group1/group2@group1.foo', e.g, group1/group2@group1.foo=<OPTION>\n                    Available options\"\"\"\n                ),\n            ),\n            id=\"nested_missing_at_foo\",\n        ),\n        param(\n            \"empty\",\n            [\"+group1=with_missing_at_foo\", \"group1/group2@group1.foo=file1\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"empty\"),\n                children=[\n                    ConfigDefault(path=\"_self_\"),\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"with_missing_at_foo\"),\n                        children=[\n                            GroupDefault(group=\"group2\", value=\"file1\", package=\"foo\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                ],\n            ),\n            id=\"nested_missing_at_foo:override\",\n        ),\n    ],\n)\ndef test_with_missing(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_with_missing_and_skip_missing_flag_test_with_missing_and_skip_missing_flag._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_with_missing_and_skip_missing_flag_test_with_missing_and_skip_missing_flag._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 1211, "end_line": 1238, "span_ids": ["test_with_missing_and_skip_missing_flag"], "tokens": 139}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"with_missing\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"with_missing\"),\n                children=[\n                    GroupDefault(group=\"db\", value=\"???\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"with_missing\",\n        ),\n    ],\n)\ndef test_with_missing_and_skip_missing_flag(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n        skip_missing=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_placeholder_test_placeholder._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_placeholder_test_placeholder._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 1241, "end_line": 1315, "span_ids": ["test_placeholder"], "tokens": 377}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"placeholder\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"placeholder\"),\n                children=[\n                    GroupDefault(group=\"group1\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"placeholder\",\n        ),\n        param(\n            \"placeholder\",\n            [\"group1=file1\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"placeholder\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file1\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"placeholder:override\",\n        ),\n        param(\n            \"nested_placeholder\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"nested_placeholder\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"placeholder\"),\n                        children=[\n                            GroupDefault(group=\"group2\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"nested_placeholder\",\n        ),\n        param(\n            \"nested_placeholder\",\n            [\"group1/group2=file1\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"nested_placeholder\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"placeholder\"),\n                        children=[\n                            GroupDefault(group=\"group2\", value=\"file1\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"nested_placeholder:override\",\n        ),\n    ],\n)\ndef test_placeholder(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_override_nested_to_null_test_override_nested_to_null._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_override_nested_to_null_test_override_nested_to_null._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 1593, "end_line": 1643, "span_ids": ["test_override_nested_to_null"], "tokens": 280}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"override_nested_to_null\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"override_nested_to_null\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"group_item1\"),\n                        children=[\n                            GroupDefault(group=\"group2\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"override_nested_to_null\",\n        ),\n        param(\n            \"override_nested_to_null\",\n            [\"group1/group2=file2\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"override_nested_to_null\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"group_item1\"),\n                        children=[\n                            GroupDefault(group=\"group2\", value=\"file2\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"override_nested_to_null:override\",\n        ),\n    ],\n)\ndef test_override_nested_to_null(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_deletion_test_deletion._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_deletion_test_deletion._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 1646, "end_line": 1772, "span_ids": ["test_deletion"], "tokens": 839}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"include_nested_group\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"include_nested_group\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"group_item1\"),\n                        children=[\n                            GroupDefault(group=\"group2\", value=\"file1\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"delete:include_nested_group:baseline\",\n        ),\n        param(\n            \"include_nested_group\",\n            [\"~group1\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"include_nested_group\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"group_item1\", deleted=True),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"delete:include_nested_group:group1\",\n        ),\n        param(\n            \"include_nested_group\",\n            [\"~group1/group2\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"include_nested_group\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"group_item1\"),\n                        children=[\n                            GroupDefault(group=\"group2\", value=\"file1\", deleted=True),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"delete:include_nested_group:group1/group2\",\n        ),\n        param(\n            \"include_nested_group\",\n            [\"~group1=group_item1\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"include_nested_group\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"group_item1\", deleted=True),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"delete:include_nested_group:group1=group_item1\",\n        ),\n        param(\n            \"include_nested_group\",\n            [\"~group1=wrong\"],\n            raises(\n                ConfigCompositionException,\n                match=\"Could not delete 'group1=wrong'. No match in the defaults list\",\n            ),\n            id=\"delete:include_nested_group:group1=wrong\",\n        ),\n        param(\n            \"two_group_defaults_different_pkgs\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"two_group_defaults_different_pkgs\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file1\", package=\"pkg1\"),\n                    GroupDefault(group=\"group1\", value=\"file1\", package=\"pkg2\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"delete:two_group_defaults_different_pkgs:baseline\",\n        ),\n        param(\n            \"two_group_defaults_different_pkgs\",\n            [\"~group1@pkg1\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"two_group_defaults_different_pkgs\"),\n                children=[\n                    GroupDefault(\n                        group=\"group1\", value=\"file1\", package=\"pkg1\", deleted=True\n                    ),\n                    GroupDefault(group=\"group1\", value=\"file1\", package=\"pkg2\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"delete:two_group_defaults_different_pkgs:delete_pkg1\",\n        ),\n        param(\n            \"two_group_defaults_different_pkgs\",\n            [\"~group1@pkg2\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"two_group_defaults_different_pkgs\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file1\", package=\"pkg1\"),\n                    GroupDefault(\n                        group=\"group1\", value=\"file1\", package=\"pkg2\", deleted=True\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"delete:two_group_defaults_different_pkgs:delete_pkg1\",\n        ),\n    ],\n)\ndef test_deletion(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_delete_non_existing_test_delete_non_existing._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_delete_non_existing_test_delete_non_existing._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 1775, "end_line": 1816, "span_ids": ["test_delete_non_existing"], "tokens": 234}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"empty\",\n            [\"~group1\"],\n            raises(\n                ConfigCompositionException,\n                match=\"Could not delete 'group1'. No match in the defaults list\",\n            ),\n            id=\"override_non_existing\",\n        ),\n        param(\n            \"empty\",\n            [\"~group1=abc\"],\n            raises(\n                ConfigCompositionException,\n                match=\"Could not delete 'group1=abc'. No match in the defaults list\",\n            ),\n            id=\"override_non_existing\",\n        ),\n        param(\n            \"empty\",\n            [\"~group1@pkg1=abc\"],\n            raises(\n                ConfigCompositionException,\n                match=\"Could not delete 'group1@pkg1=abc'. No match in the defaults list\",\n            ),\n            id=\"override_non_existing\",\n        ),\n    ],\n)\ndef test_delete_non_existing(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_missing_config_errors_test_missing_config_errors._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_missing_config_errors_test_missing_config_errors._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 1819, "end_line": 1860, "span_ids": ["test_missing_config_errors"], "tokens": 249}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"not_found\",\n            [],\n            raises(\n                ConfigCompositionException,\n                match=\"^Cannot find primary config 'not_found'. Check that it's in your config search path.\",\n            ),\n            id=\"missing_primary\",\n        ),\n        param(\n            \"empty\",\n            [\"+group1=not_found\"],\n            raises(\n                ConfigCompositionException,\n                match=\"^In 'empty': Could not find 'group1/not_found'\\n\\nAvailable options in 'group1':\",\n            ),\n            id=\"missing_included_config\",\n        ),\n        param(\n            \"empty\",\n            [\"+group1=not_found\"],\n            raises(\n                ConfigCompositionException,\n                match=\"^In 'empty': Could not find 'group1/not_found'\\n\\nAvailable options in 'group1':\",\n            ),\n            id=\"missing_included_config\",\n        ),\n    ],\n)\ndef test_missing_config_errors(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_override_errors_test_override_errors._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_override_errors_test_override_errors._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 1863, "end_line": 1969, "span_ids": ["test_override_errors"], "tokens": 634}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"empty\",\n            [\"group1=file1\"],\n            raises(\n                ConfigCompositionException,\n                match=\"Could not override 'group1'. No match in the defaults list.\",\n            ),\n            id=\"override_non_existing\",\n        ),\n        param(\n            \"empty\",\n            [\"group1@pkg1=file1\"],\n            raises(\n                ConfigCompositionException,\n                match=\"Could not override 'group1@pkg1'. No match in the defaults list.\",\n            ),\n            id=\"override_non_existing\",\n        ),\n        param(\n            \"empty\",\n            [\"group1/group2=file1\"],\n            raises(\n                ConfigCompositionException,\n                match=\"Could not override 'group1/group2'. No match in the defaults list.\",\n            ),\n            id=\"override_non_existing\",\n        ),\n        param(\n            \"error_invalid_override\",\n            [],\n            raises(\n                ConfigCompositionException,\n                match=\"Could not override 'group1'. No match in the defaults list.\",\n            ),\n            id=\"error_invalid_override\",\n        ),\n        param(\n            \"group_default\",\n            [\"group1@foo=file1\"],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    dedent(\n                        \"\"\"\\\n                Could not override 'group1@foo'.\n                Did you mean to override group1?\n                To append to your default list use +group1@foo=file1\"\"\"\n                    )\n                ),\n            ),\n            id=\"no_match_package_one_candidate\",\n        ),\n        param(\n            \"two_group_defaults_different_pkgs\",\n            [\"group1@foo=file1\"],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    dedent(\n                        \"\"\"\\\n                        Could not override 'group1@foo'.\n                        Did you mean to override one of group1@pkg1, group1@pkg2?\n                        To append to your default list use +group1@foo=file1\"\"\"\n                    )\n                ),\n            ),\n            id=\"no_match_package_multiple_candidates\",\n        ),\n        param(\n            \"empty\",\n            [\"+group1=override_invalid\"],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    \"In 'group1/override_invalid': Could not override 'group1/group2@group1.foo'.\"\n                    \"\\nDid you mean to override group1/group2?\"\n                ),\n            ),\n            id=\"nested_override_invalid_group\",\n        ),\n        param(\n            \"empty\",\n            [\"+group1=override_invalid2\"],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    \"In 'group1/override_invalid2': Could not override 'group1/group2'.\"\n                    \"\\nDid you mean to override group1/group2@group1.foo?\"\n                ),\n            ),\n            id=\"nested_override_invalid_group\",\n        ),\n    ],\n)\ndef test_override_errors(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_load_missing_optional_test_load_missing_optional._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_load_missing_optional_test_load_missing_optional._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 1972, "end_line": 2001, "span_ids": ["test_load_missing_optional"], "tokens": 151}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"missing_optional_default\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"missing_optional_default\"),\n                children=[\n                    ConfigDefault(path=\"empty\"),\n                    GroupDefault(\n                        group=\"foo\", value=\"missing\", optional=True, deleted=True\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"missing_optional_default\",\n        ),\n    ],\n)\ndef test_load_missing_optional(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_overriding_group_file_with_global_header_test_overriding_group_file_with_global_header._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_overriding_group_file_with_global_header_test_overriding_group_file_with_global_header._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 2004, "end_line": 2042, "span_ids": ["test_overriding_group_file_with_global_header"], "tokens": 214}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"group_default_global\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group_default_global\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file_with_global_header\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"group_default_global\",\n        ),\n        param(\n            \"group_default_global\",\n            [\"group1=file_with_global_header\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group_default_global\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file_with_global_header\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"group_default_global\",\n        ),\n    ],\n)\ndef test_overriding_group_file_with_global_header(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_none_config_test_none_config._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_none_config_test_none_config._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 2045, "end_line": 2077, "span_ids": ["test_none_config"], "tokens": 174}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            None,\n            [],\n            DefaultsTreeNode(node=ConfigDefault(path=\"_dummy_empty_config_\")),\n            id=\"none_config\",\n        ),\n        param(\n            None,\n            [\"+group1=file1\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"_dummy_empty_config_\"),\n                children=[\n                    ConfigDefault(path=\"_self_\"),\n                    GroupDefault(group=\"group1\", value=\"file1\"),\n                ],\n            ),\n            id=\"none_config+group1=file1\",\n        ),\n    ],\n)\ndef test_none_config(\n    config_name: Optional[str],\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_none_config_with_hydra_test_none_config_with_hydra._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_none_config_with_hydra_test_none_config_with_hydra._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 2080, "end_line": 2139, "span_ids": ["test_none_config_with_hydra"], "tokens": 319}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            None,\n            [],\n            DefaultsTreeNode(\n                node=VirtualRoot(),\n                children=[\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"hydra/config\"),\n                        children=[\n                            GroupDefault(group=\"help\", value=\"default\"),\n                            GroupDefault(group=\"output\", value=\"default\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_dummy_empty_config_\"),\n                ],\n            ),\n            id=\"none_config\",\n        ),\n        param(\n            None,\n            [\"+group1=file1\"],\n            DefaultsTreeNode(\n                node=VirtualRoot(),\n                children=[\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"hydra/config\"),\n                        children=[\n                            GroupDefault(group=\"help\", value=\"default\"),\n                            GroupDefault(group=\"output\", value=\"default\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"_dummy_empty_config_\"),\n                        children=[\n                            ConfigDefault(path=\"_self_\"),\n                            GroupDefault(group=\"group1\", value=\"file1\"),\n                        ],\n                    ),\n                ],\n            ),\n            id=\"none_config+group1=file1\",\n        ),\n    ],\n)\ndef test_none_config_with_hydra(\n    config_name: Optional[str],\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n        prepend_hydra=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_defaults_with_overrides_only_test_defaults_with_overrides_only._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_defaults_with_overrides_only_test_defaults_with_overrides_only._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 2142, "end_line": 2198, "span_ids": ["test_defaults_with_overrides_only"], "tokens": 319}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"config_name\", \"overrides\", \"expected\"),\n    [\n        param(\n            \"defaults_with_override_only\",\n            [],\n            DefaultsTreeNode(\n                node=VirtualRoot(),\n                children=[\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"hydra/config\"),\n                        children=[\n                            GroupDefault(group=\"help\", value=\"custom1\"),\n                            GroupDefault(group=\"output\", value=\"default\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"defaults_with_override_only\"),\n                ],\n            ),\n            id=\"defaults_with_override_only\",\n        ),\n        param(\n            \"defaults_with_override_only\",\n            [\"+group1=file1\"],\n            DefaultsTreeNode(\n                node=VirtualRoot(),\n                children=[\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"hydra/config\"),\n                        children=[\n                            GroupDefault(group=\"help\", value=\"custom1\"),\n                            GroupDefault(group=\"output\", value=\"default\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"defaults_with_override_only\"),\n                        children=[GroupDefault(group=\"group1\", value=\"file1\")],\n                    ),\n                ],\n            ),\n            id=\"defaults_with_override_only\",\n        ),\n    ],\n)\ndef test_defaults_with_overrides_only(\n    config_name: Optional[str],\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n        prepend_hydra=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_group_with_keyword_names_test_group_with_keyword_names._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_group_with_keyword_names_test_group_with_keyword_names._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 2179, "end_line": 2230, "span_ids": ["test_group_with_keyword_names"], "tokens": 279}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"config_name\", \"overrides\", \"expected\"),\n    [\n        param(\n            \"keyword_as_groups\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"keyword_as_groups\"),\n                children=[\n                    GroupDefault(group=\"optional\", value=\"file1\"),\n                    GroupDefault(group=\"override\", value=\"file1\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"keyword_override_as_group\",\n        ),\n        param(\n            \"keyword_override_override\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"keyword_override_override\"),\n                children=[\n                    GroupDefault(group=\"override\", value=\"file2\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"keyword_override_override\",\n        ),\n        param(\n            \"keyword_optional_optional\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"keyword_optional_optional\"),\n                children=[\n                    GroupDefault(group=\"optional\", value=\"file1\", optional=True),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"keyword_optional_optional\",\n        ),\n    ],\n)\ndef test_group_with_keyword_names(\n    config_name: Optional[str],\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_choices_test_choices.assert_res_overrides_know": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_choices_test_choices.assert_res_overrides_know", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 2233, "end_line": 2321, "span_ids": ["test_choices"], "tokens": 523}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"config_name\", \"overrides\", \"expected\", \"expected_choices\"),\n    [\n        param(\n            \"empty\",\n            [],\n            DefaultsTreeNode(node=ConfigDefault(path=\"empty\")),\n            {},\n            id=\"empty\",\n        ),\n        param(\n            \"group_default\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group_default\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file1\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            {\"group1\": \"file1\"},\n            id=\"group_default\",\n        ),\n        param(\n            \"group_default\",\n            [\"group1=file2\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group_default\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file2\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            {\"group1\": \"file2\"},\n            id=\"group_default:override\",\n        ),\n        param(\n            \"nested_placeholder\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"nested_placeholder\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"placeholder\"),\n                        children=[\n                            GroupDefault(group=\"group2\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            {\"group1\": \"placeholder\", \"group1/group2\": None},\n            id=\"nested_placeholder\",\n        ),\n        param(\n            \"include_nested_group_pkg2\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"include_nested_group_pkg2\"),\n                children=[\n                    DefaultsTreeNode(\n                        node=GroupDefault(group=\"group1\", value=\"group_item1_pkg2\"),\n                        children=[\n                            GroupDefault(group=\"group2\", value=\"file1\", package=\"pkg2\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            {\"group1\": \"group_item1_pkg2\", \"group1/group2@group1.pkg2\": \"file1\"},\n            id=\"include_nested_group_pkg2\",\n        ),\n    ],\n)\ndef test_choices(\n    config_name: Optional[str],\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n    expected_choices: Dict[str, str],\n) -> None:\n    res = _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n    )\n    assert res is not None\n    assert res.overrides.known_choices == expected_choices", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_deprecated_package_header_keywords_test_deprecated_package_header_keywords.with_warns_UserWarning_m._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_deprecated_package_header_keywords_test_deprecated_package_header_keywords.with_warns_UserWarning_m._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 2799, "end_line": 2852, "span_ids": ["test_deprecated_package_header_keywords"], "tokens": 346}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"config_name\", \"overrides\", \"package_header\", \"expected\"),\n    [\n        param(\n            \"deprecated_headers/group\",\n            [],\n            \"_group_\",\n            DefaultsTreeNode(node=ConfigDefault(path=\"deprecated_headers/group\")),\n            id=\"deprecated_headers/group\",\n        ),\n        param(\n            \"deprecated_headers/name\",\n            [],\n            \"_name_\",\n            DefaultsTreeNode(node=ConfigDefault(path=\"deprecated_headers/name\")),\n            id=\"deprecated_headers/name\",\n        ),\n        param(\n            \"deprecated_headers/group_name\",\n            [],\n            \"_group_._name_\",\n            DefaultsTreeNode(node=ConfigDefault(path=\"deprecated_headers/group_name\")),\n            id=\"deprecated_headers/group_name\",\n        ),\n        param(\n            \"deprecated_headers/group_foo\",\n            [],\n            \"_group_.foo\",\n            DefaultsTreeNode(node=ConfigDefault(path=\"deprecated_headers/group_foo\")),\n            id=\"deprecated_headers/group_foo\",\n        ),\n    ],\n)\ndef test_deprecated_package_header_keywords(\n    config_name: Optional[str],\n    overrides: List[str],\n    package_header: str,\n    expected: DefaultsTreeNode,\n    hydra_restore_singletons: Any,\n) -> None:\n    msg = dedent(\n        f\"\"\"\\\n        In '{config_name}': Usage of deprecated keyword in package header '# @package {package_header}'.\n        See https://hydra.cc/docs/next/upgrades/1.0_to_1.1/changes_to_package_header for more information\"\"\"\n    )\n\n    version.setbase(\"1.1\")\n\n    with warns(UserWarning, match=re.escape(msg)):\n        _test_defaults_tree_impl(\n            config_name=config_name,\n            input_overrides=overrides,\n            expected=expected,\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_select_multi_test_select_multi._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_select_multi_test_select_multi._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 2376, "end_line": 2606, "span_ids": ["test_select_multi"], "tokens": 1301}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"config_name\", \"overrides\", \"with_hydra\", \"expected\"),\n    [\n        param(\n            \"select_multi\",\n            [],\n            False,\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"select_multi\"),\n                children=[\n                    ConfigDefault(path=\"group1/file1\"),\n                    ConfigDefault(path=\"group1/file2\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"select_multi\",\n        ),\n        param(\n            \"select_multi\",\n            [\"group1=[file1,file3]\"],\n            False,\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"select_multi\"),\n                children=[\n                    ConfigDefault(path=\"group1/file1\"),\n                    ConfigDefault(path=\"group1/file3\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"select_multi:override_list\",\n        ),\n        param(\n            \"select_multi\",\n            [\"group1=[]\"],\n            False,\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"select_multi\"),\n                children=[ConfigDefault(path=\"_self_\")],\n            ),\n            id=\"select_multi:override_to_empty_list\",\n        ),\n        param(\n            \"select_multi\",\n            [\"group1=file1\"],\n            False,\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"select_multi\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file1\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"select_multi:override_to_option\",\n        ),\n        # nested\n        param(\n            \"group1/select_multi\",\n            [],\n            False,\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group1/select_multi\"),\n                children=[\n                    ConfigDefault(path=\"group2/file1\"),\n                    ConfigDefault(path=\"group2/file2\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"group1/select_multi\",\n        ),\n        param(\n            \"group1/select_multi\",\n            [\"group1/group2=[file1,file3]\"],\n            False,\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group1/select_multi\"),\n                children=[\n                    ConfigDefault(path=\"group2/file1\"),\n                    ConfigDefault(path=\"group2/file3\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"group1/select_multi:override\",\n        ),\n        param(\n            \"select_multi_interpolation\",\n            [],\n            False,\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    \"In 'select_multi_interpolation': \"\n                    \"Defaults List interpolation is not supported in options list items\"\n                ),\n            ),\n            id=\"select_multi_interpolation\",\n        ),\n        param(\n            \"select_multi_override\",\n            [],\n            False,\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"select_multi_override\"),\n                children=[\n                    ConfigDefault(path=\"group1/file3\"),\n                    ConfigDefault(path=\"group1/file1\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"select_multi_override\",\n        ),\n        param(\n            \"select_multi_optional\",\n            [],\n            False,\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"select_multi_optional\"),\n                children=[\n                    ConfigDefault(path=\"group1/not_found\", deleted=True, optional=True),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"select_multi_optional\",\n        ),\n        param(\n            \"select_multi_optional\",\n            [\"group1=[file1,not_found2]\"],\n            False,\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"select_multi_optional\"),\n                children=[\n                    ConfigDefault(path=\"group1/file1\", optional=True),\n                    ConfigDefault(\n                        path=\"group1/not_found2\", deleted=True, optional=True\n                    ),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"select_multi_optional:override\",\n        ),\n        param(\n            \"empty\",\n            [\"+group1=[file1]\"],\n            False,\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"empty\"),\n                children=[\n                    ConfigDefault(path=\"_self_\"),\n                    ConfigDefault(path=\"group1/file1\"),\n                ],\n            ),\n            id=\"append_new_list_to_a_config_without_a_defaults_list\",\n        ),\n        param(\n            None,\n            [\"+group1=[file1]\"],\n            False,\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"_dummy_empty_config_\"),\n                children=[\n                    ConfigDefault(path=\"_self_\"),\n                    ConfigDefault(path=\"group1/file1\"),\n                ],\n            ),\n            id=\"append_new_list_to_without_a_primary_config\",\n        ),\n        param(\n            \"empty\",\n            [\"+group1=[file1]\"],\n            True,\n            DefaultsTreeNode(\n                node=VirtualRoot(),\n                children=[\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"hydra/config\"),\n                        children=[\n                            GroupDefault(group=\"help\", value=\"default\"),\n                            GroupDefault(group=\"output\", value=\"default\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"empty\"),\n                        children=[\n                            ConfigDefault(path=\"_self_\"),\n                            ConfigDefault(path=\"group1/file1\"),\n                        ],\n                    ),\n                ],\n            ),\n            id=\"append_new_list_to_a_config_without_a_defaults_list+with_hydra\",\n        ),\n        param(\n            None,\n            [\"+group1=[file1]\"],\n            True,\n            DefaultsTreeNode(\n                node=VirtualRoot(),\n                children=[\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"hydra/config\"),\n                        children=[\n                            GroupDefault(group=\"help\", value=\"default\"),\n                            GroupDefault(group=\"output\", value=\"default\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"_dummy_empty_config_\"),\n                        children=[\n                            ConfigDefault(path=\"_self_\"),\n                            ConfigDefault(path=\"group1/file1\"),\n                        ],\n                    ),\n                ],\n            ),\n            id=\"append_new_list_to_without_a_primary_config+with_hydra\",\n        ),\n    ],\n)\ndef test_select_multi(\n    config_name: Optional[str],\n    overrides: List[str],\n    with_hydra: bool,\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        prepend_hydra=with_hydra,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_select_multi_pkg_test_select_multi_pkg._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_select_multi_pkg_test_select_multi_pkg._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 2609, "end_line": 2710, "span_ids": ["test_select_multi_pkg"], "tokens": 659}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"config_name\", \"overrides\", \"expected\"),\n    [\n        param(\n            \"select_multi_pkg\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"select_multi_pkg\"),\n                children=[\n                    ConfigDefault(path=\"group1/file1\", package=\"foo\"),\n                    ConfigDefault(path=\"group1/file2\", package=\"foo\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"select_multi\",\n        ),\n        param(\n            \"select_multi_pkg\",\n            [\"group1@foo=[file1,file3]\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"select_multi_pkg\"),\n                children=[\n                    ConfigDefault(path=\"group1/file1\", package=\"foo\"),\n                    ConfigDefault(path=\"group1/file3\", package=\"foo\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"select_multi_pkg:override_list\",\n        ),\n        param(\n            \"select_multi_pkg\",\n            [\"group1@foo=[]\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"select_multi_pkg\"),\n                children=[ConfigDefault(path=\"_self_\")],\n            ),\n            id=\"select_multi_pkg:override_to_empty_list\",\n        ),\n        param(\n            \"select_multi_pkg\",\n            [\"group1@foo=file1\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"select_multi_pkg\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file1\", package=\"foo\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"select_multi_pkg:override_to_option\",\n        ),\n        # nested\n        param(\n            \"group1/select_multi_pkg\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group1/select_multi_pkg\"),\n                children=[\n                    ConfigDefault(path=\"group2/file1\", package=\"bar\"),\n                    ConfigDefault(path=\"group2/file2\", package=\"bar\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"group1/select_multi_pkg\",\n        ),\n        param(\n            \"group1/select_multi_pkg\",\n            [\"group1/group2@group1.bar=[file1,file3]\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group1/select_multi_pkg\"),\n                children=[\n                    ConfigDefault(path=\"group2/file1\", package=\"bar\"),\n                    ConfigDefault(path=\"group2/file3\", package=\"bar\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"group1/select_multi:override\",\n        ),\n        param(\n            \"group1/group_item1\",\n            [\"group1/group2=[file1,file2]\"],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"group1/group_item1\"),\n                children=[\n                    ConfigDefault(path=\"group2/file1\"),\n                    ConfigDefault(path=\"group2/file2\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"group1/override_single_to_list\",\n        ),\n    ],\n)\ndef test_select_multi_pkg(\n    config_name: Optional[str],\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_nested_override_errors_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_nested_override_errors_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 2713, "end_line": 2752, "span_ids": ["test_nested_override_errors"], "tokens": 223}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"config_name\", \"overrides\", \"expected\"),\n    [\n        param(\n            \"experiment/error_override_without_abs_and_header\",\n            [],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    \"In 'experiment/error_override_without_abs_and_header': \"\n                    \"Could not override 'experiment/group1'. No match in the defaults list\"\n                ),\n            ),\n            id=\"experiment/error_override_without_abs_and_header\",\n        ),\n        param(\n            \"experiment/error_override_without_global\",\n            [],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    \"In 'experiment/error_override_without_global': \"\n                    \"Could not override 'group1@experiment.group1'. No match in the defaults list\"\n                ),\n            ),\n            id=\"experiment/error_override_without_global\",\n        ),\n    ],\n)\ndef test_nested_override_errors(\n    config_name: Optional[str],\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/__init__.py_Tree_Tree.__repr__.return.f_Tree_value_self_value_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/__init__.py_Tree_Tree.__repr__.return.f_Tree_value_self_value_", "embedding": null, "metadata": {"file_path": "tests/instantiate/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 237, "end_line": 260, "span_ids": ["Tree", "Tree.__init__", "Tree.__repr__", "Tree.__eq__"], "tokens": 171}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Tree:\n    value: Any\n    # annotated any because of non recursive instantiation tests\n    left: Any = None\n    right: Any = None\n\n    def __init__(self, value: Any, left: Any = None, right: Any = None) -> None:\n        self.value = value\n        self.left = left\n        self.right = right\n\n    def __eq__(self, other: Any) -> Any:\n        if isinstance(other, type(self)):\n            return (\n                partial_equal(self.value, other.value)\n                and partial_equal(self.left, other.left)\n                and partial_equal(self.right, other.right)\n            )\n\n        else:\n            return False\n\n    def __repr__(self) -> str:\n        return f\"Tree(value={self.value}, left={self.left}, right={self.right})\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/__init__.py_Mapping_Mapping.__repr__.return.f_dictionary_self_dictio": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/__init__.py_Mapping_Mapping.__repr__.return.f_dictionary_self_dictio", "embedding": null, "metadata": {"file_path": "tests/instantiate/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 263, "end_line": 282, "span_ids": ["Mapping.__eq__", "Mapping", "Mapping.__repr__", "Mapping.__init__"], "tokens": 139}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Mapping:\n    dictionary: Optional[Dict[str, \"Mapping\"]] = None\n    value: Any = None\n\n    def __init__(\n        self, value: Any = None, dictionary: Optional[Dict[str, \"Mapping\"]] = None\n    ) -> None:\n        self.dictionary = dictionary\n        self.value = value\n\n    def __eq__(self, other: Any) -> Any:\n        if isinstance(other, type(self)):\n            return partial_equal(self.dictionary, other.dictionary) and partial_equal(\n                self.value, other.value\n            )\n        else:\n            return False\n\n    def __repr__(self) -> str:\n        return f\"dictionary={self.dictionary}\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/__init__.py__Configs_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/__init__.py__Configs_", "embedding": null, "metadata": {"file_path": "tests/instantiate/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 285, "end_line": 394, "span_ids": ["RotationConf", "Mapping.__repr__", "NestedConf", "SimpleClassDefaultPrimitiveConf", "recisinstance", "SimpleClass.__eq__", "TransformConf", "MappingConf.__init__", "TreeConf", "SimpleClass", "SimpleDataClass", "SimpleClass.__init__", "MappingConf", "ComposeConf", "SimpleClassPrimitiveConf", "CenterCropConf", "SimpleClassNonPrimitiveConf"], "tokens": 670}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Configs\n@dataclass\nclass TransformConf:\n    ...\n\n\n@dataclass\nclass CenterCropConf(TransformConf):\n    _target_: str = \"tests.instantiate.CenterCrop\"\n    _partial_: bool = False\n    size: int = MISSING\n\n\n@dataclass\nclass RotationConf(TransformConf):\n    _target_: str = \"tests.instantiate.Rotation\"\n    degrees: int = MISSING\n\n\n@dataclass\nclass ComposeConf:\n    _target_: str = \"tests.instantiate.Compose\"\n    _partial_: bool = False\n    transforms: List[TransformConf] = MISSING\n\n\n@dataclass\nclass TreeConf:\n    _target_: str = \"tests.instantiate.Tree\"\n    _partial_: bool = False\n    left: Optional[\"TreeConf\"] = None\n    right: Optional[\"TreeConf\"] = None\n    value: Any = MISSING\n\n\n@dataclass\nclass MappingConf:\n    _target_: str = \"tests.instantiate.Mapping\"\n    _partial_: bool = False\n    dictionary: Optional[Dict[str, \"MappingConf\"]] = None\n\n    def __init__(\n        self,\n        dictionary: Optional[Dict[str, \"MappingConf\"]] = None,\n        _partial_: bool = False,\n    ):\n        self.dictionary = dictionary\n        self._partial_ = _partial_\n\n\n@dataclass\nclass SimpleDataClass:\n    a: Any = None\n    b: Any = None\n\n\nclass SimpleClass:\n    a: Any = None\n    b: Any = None\n\n    def __init__(self, a: Any, b: Any) -> None:\n        self.a = a\n        self.b = b\n\n    def __eq__(self, other: Any) -> Any:\n        if isinstance(other, SimpleClass):\n            return self.a == other.a and self.b == other.b\n        return False\n\n\n@dataclass\nclass SimpleClassPrimitiveConf:\n    _target_: str = \"tests.instantiate.SimpleClass\"\n    _convert_: str = \"partial\"\n    a: Any = None\n    b: Any = None\n\n\n@dataclass\nclass SimpleClassNonPrimitiveConf:\n    _target_: str = \"tests.instantiate.SimpleClass\"\n    _convert_: str = \"none\"\n    a: Any = None\n    b: Any = None\n\n\n@dataclass\nclass SimpleClassDefaultPrimitiveConf:\n    _target_: str = \"tests.instantiate.SimpleClass\"\n    a: Any = None\n    b: Any = None\n\n\n@dataclass\nclass NestedConf:\n    _target_: str = \"tests.instantiate.SimpleClass\"\n    a: Any = User(name=\"a\", age=1)\n    b: Any = User(name=\"b\", age=2)\n\n\ndef recisinstance(got: Any, expected: Any) -> bool:\n    \"\"\"Compare got with expected type, recursively on dict and list.\"\"\"\n    if not isinstance(got, type(expected)):\n        return False\n    if isinstance(expected, collections.abc.Mapping):\n        return all(recisinstance(got[key], expected[key]) for key in expected)\n    elif isinstance(expected, collections.abc.Iterable):\n        return all(recisinstance(got[idx], exp) for idx, exp in enumerate(expected))\n    return True", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/positional_only.py_from_typing_import_Any_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/positional_only.py_from_typing_import_Any_", "embedding": null, "metadata": {"file_path": "tests/instantiate/positional_only.py", "file_name": "positional_only.py", "file_type": "text/x-python", "category": "implementation", "start_line": 9, "end_line": 41, "span_ids": ["PosOnlyArgsClass", "impl:3", "PosOnlyArgsClass.__init__", "docstring"], "tokens": 191}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Any\n\ncode = \"\"\"\n\n\nclass PosOnlyArgsClass:\n    def __init__(self, a: Any, b: Any, /, **kwargs: Any) -> None:\n        assert isinstance(kwargs, dict)\n        self.a = a\n        self.b = b\n        self.kwargs = kwargs\n\n    def __repr__(self) -> str:\n        return f\"{self.a=},{self.b},{self.kwargs=}\"\n\n    def __eq__(self, other: Any) -> Any:\n        if isinstance(other, PosOnlyArgsClass):\n            return (\n                self.a == other.a and self.b == other.b and self.kwargs == other.kwargs\n            )\n        else:\n            return NotImplemented\n\"\"\"\n\n\n# Dummy class to keep mypy happy\nclass PosOnlyArgsClass:\n    def __init__(self, *args: Any, **kwargs: Any) -> None:\n        ...\n\n\nexec(code)  # nosec", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_copy_config.assert_config_cfg_copy": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_copy_config.assert_config_cfg_copy", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 85, "span_ids": ["instantiate_func", "config", "docstring"], "tokens": 419}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import copy\nimport pickle\nimport re\nfrom dataclasses import dataclass\nfrom functools import partial\nfrom textwrap import dedent\nfrom typing import Any, Callable, Dict, List, Optional, Tuple\n\nfrom omegaconf import MISSING, DictConfig, ListConfig, MissingMandatoryValue, OmegaConf\nfrom pytest import fixture, mark, param, raises, warns\n\nimport hydra\nfrom hydra import version\nfrom hydra.errors import InstantiationException\nfrom hydra.test_utils.test_utils import assert_multiline_regex_search\nfrom hydra.types import ConvertMode, TargetConf\nfrom tests.instantiate import (\n    AClass,\n    Adam,\n    AdamConf,\n    AnotherClass,\n    ArgsClass,\n    ASubclass,\n    BadAdamConf,\n    BClass,\n    CenterCrop,\n    CenterCropConf,\n    Compose,\n    ComposeConf,\n    IllegalType,\n    KeywordsInParamsClass,\n    Mapping,\n    MappingConf,\n    NestedConf,\n    NestingClass,\n    OuterClass,\n    Parameters,\n    Rotation,\n    RotationConf,\n    SimpleClass,\n    SimpleClassDefaultPrimitiveConf,\n    SimpleClassNonPrimitiveConf,\n    SimpleClassPrimitiveConf,\n    SimpleDataClass,\n    Tree,\n    TreeConf,\n    UntypedPassthroughClass,\n    UntypedPassthroughConf,\n    User,\n    add_values,\n    module_function,\n    module_function2,\n    partial_equal,\n    recisinstance,\n)\n\n\n@fixture(\n    params=[\n        hydra._internal.instantiate._instantiate2.instantiate,\n    ],\n    ids=[\n        \"instantiate2\",\n    ],\n)\ndef instantiate_func(request: Any) -> Any:\n    return request.param\n\n\n@fixture(\n    params=[\n        lambda cfg: copy.deepcopy(cfg),\n        lambda cfg: OmegaConf.create(cfg),\n    ],\n    ids=[\n        \"dict\",\n        \"dict_config\",\n    ],\n)\ndef config(request: Any, src: Any) -> Any:\n    config = request.param(src)\n    cfg_copy = copy.deepcopy(config)\n    yield config\n    assert config == cfg_copy", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_none_cases_test_none_cases.None_8": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_none_cases_test_none_cases.None_8", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 205, "end_line": 233, "span_ids": ["test_none_cases"], "tokens": 214}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_none_cases(\n    instantiate_func: Any,\n) -> Any:\n    assert instantiate_func(None) is None\n\n    cfg = {\n        \"_target_\": \"tests.instantiate.ArgsClass\",\n        \"none_dict\": DictConfig(None),\n        \"none_list\": ListConfig(None),\n        \"dict\": {\n            \"field\": 10,\n            \"none_dict\": DictConfig(None),\n            \"none_list\": ListConfig(None),\n        },\n        \"list\": [\n            10,\n            DictConfig(None),\n            ListConfig(None),\n        ],\n    }\n    ret = instantiate_func(cfg)\n    assert ret.kwargs[\"none_dict\"] is None\n    assert ret.kwargs[\"none_list\"] is None\n    assert ret.kwargs[\"dict\"].field == 10\n    assert ret.kwargs[\"dict\"].none_dict is None\n    assert ret.kwargs[\"dict\"].none_list is None\n    assert ret.kwargs[\"list\"][0] == 10\n    assert ret.kwargs[\"list\"][1] is None\n    assert ret.kwargs[\"list\"][2] is None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_interpolation_accessing_parent_test_interpolation_accessing_parent.assert_input_conf_cfg_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_interpolation_accessing_parent_test_interpolation_accessing_parent.assert_input_conf_cfg_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 365, "end_line": 438, "span_ids": ["test_interpolation_accessing_parent"], "tokens": 464}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"input_conf, passthrough, expected\",\n    [\n        param(\n            {\n                \"node\": {\n                    \"_target_\": \"tests.instantiate.AClass\",\n                    \"a\": \"${value}\",\n                    \"b\": 20,\n                    \"c\": 30,\n                    \"d\": 40,\n                },\n                \"value\": 99,\n            },\n            {},\n            AClass(99, 20, 30, 40),\n            id=\"interpolation_into_parent\",\n        ),\n        param(\n            {\n                \"node\": {\n                    \"_target_\": \"tests.instantiate.AClass\",\n                    \"_partial_\": True,\n                    \"a\": \"${value}\",\n                    \"b\": 20,\n                },\n                \"value\": 99,\n            },\n            {},\n            partial(AClass, a=99, b=20),\n            id=\"interpolation_into_parent_partial\",\n        ),\n        param(\n            {\n                \"A\": {\"_target_\": \"tests.instantiate.add_values\", \"a\": 1, \"b\": 2},\n                \"node\": {\n                    \"_target_\": \"tests.instantiate.add_values\",\n                    \"_partial_\": True,\n                    \"a\": \"${A}\",\n                },\n            },\n            {},\n            partial(add_values, a=3),\n            id=\"interpolation_from_recursive_partial\",\n        ),\n        param(\n            {\n                \"A\": {\"_target_\": \"tests.instantiate.add_values\", \"a\": 1, \"b\": 2},\n                \"node\": {\n                    \"_target_\": \"tests.instantiate.add_values\",\n                    \"a\": \"${A}\",\n                    \"b\": 3,\n                },\n            },\n            {},\n            6,\n            id=\"interpolation_from_recursive\",\n        ),\n    ],\n)\ndef test_interpolation_accessing_parent(\n    instantiate_func: Any,\n    input_conf: Any,\n    passthrough: Dict[str, Any],\n    expected: Any,\n) -> Any:\n    cfg_copy = OmegaConf.create(input_conf)\n    input_conf = OmegaConf.create(input_conf)\n    obj = instantiate_func(input_conf.node, **passthrough)\n    if isinstance(expected, partial):\n        assert partial_equal(obj, expected)\n    else:\n        assert obj == expected\n    assert input_conf == cfg_copy", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_adam_conf_test_instantiate_adam_conf.assert_res_amsgrad_exp": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_adam_conf_test_instantiate_adam_conf.assert_res_amsgrad_exp", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 541, "end_line": 566, "span_ids": ["test_instantiate_adam_conf"], "tokens": 238}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"is_partial,expected_params\",\n    [(True, Parameters([1, 2, 3])), (False, partial(Parameters))],\n)\ndef test_instantiate_adam_conf(\n    instantiate_func: Any, is_partial: bool, expected_params: Any\n) -> None:\n    with raises(\n        InstantiationException,\n        match=r\"Error in call to target 'tests\\.instantiate\\.Adam':\\nTypeError\\(.*\\)\",\n    ):\n        # can't instantiate without passing params\n        instantiate_func(AdamConf())\n\n    adam_params = expected_params\n    res = instantiate_func(AdamConf(lr=0.123), params=adam_params)\n    expected = Adam(lr=0.123, params=adam_params)\n    if is_partial:\n        partial_equal(res.params, expected.params)\n    else:\n        assert res.params == expected.params\n    assert res.lr == expected.lr\n    assert list(res.betas) == list(expected.betas)  # OmegaConf converts tuples to lists\n    assert res.eps == expected.eps\n    assert res.weight_decay == expected.weight_decay\n    assert res.amsgrad == expected.amsgrad", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_adam_conf_with_convert_test_instantiate_adam_conf_with_convert.assert_res_amsgrad_exp": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_adam_conf_with_convert_test_instantiate_adam_conf_with_convert.assert_res_amsgrad_exp", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 343, "end_line": 353, "span_ids": ["test_instantiate_adam_conf_with_convert"], "tokens": 148}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_instantiate_adam_conf_with_convert(instantiate_func: Any) -> None:\n    adam_params = Parameters([1, 2, 3])\n    res = instantiate_func(AdamConf(lr=0.123), params=adam_params, _convert_=\"all\")\n    expected = Adam(lr=0.123, params=adam_params)\n    assert res.params == expected.params\n    assert res.lr == expected.lr\n    assert isinstance(res.betas, list)\n    assert list(res.betas) == list(expected.betas)  # OmegaConf converts tuples to lists\n    assert res.eps == expected.eps\n    assert res.weight_decay == expected.weight_decay\n    assert res.amsgrad == expected.amsgrad", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_recursive_instantiation_test_recursive_instantiation.assert_obj_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_recursive_instantiation_test_recursive_instantiation.assert_obj_expected", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 392, "end_line": 587, "span_ids": ["test_recursive_instantiation"], "tokens": 1236}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"src, passthrough, expected\",\n    [\n        # direct\n        param(\n            {\n                \"_target_\": \"tests.instantiate.Tree\",\n                \"value\": 1,\n                \"left\": {\n                    \"_target_\": \"tests.instantiate.Tree\",\n                    \"value\": 21,\n                },\n                \"right\": {\n                    \"_target_\": \"tests.instantiate.Tree\",\n                    \"value\": 22,\n                },\n            },\n            {},\n            Tree(value=1, left=Tree(value=21), right=Tree(value=22)),\n            id=\"recursive:direct:dict\",\n        ),\n        param(\n            {\"_target_\": \"tests.instantiate.Tree\"},\n            {\"value\": 1},\n            Tree(value=1),\n            id=\"recursive:direct:dict:passthrough\",\n        ),\n        param(\n            {\"_target_\": \"tests.instantiate.Tree\"},\n            {\"value\": 1, \"left\": {\"_target_\": \"tests.instantiate.Tree\", \"value\": 2}},\n            Tree(value=1, left=Tree(2)),\n            id=\"recursive:direct:dict:passthrough\",\n        ),\n        param(\n            {\"_target_\": \"tests.instantiate.Tree\"},\n            {\n                \"value\": 1,\n                \"left\": {\"_target_\": \"tests.instantiate.Tree\", \"value\": 2},\n                \"right\": {\"_target_\": \"tests.instantiate.Tree\", \"value\": 3},\n            },\n            Tree(value=1, left=Tree(2), right=Tree(3)),\n            id=\"recursive:direct:dict:passthrough\",\n        ),\n        param(\n            {\"_target_\": \"tests.instantiate.Tree\"},\n            {\"value\": IllegalType()},\n            Tree(value=IllegalType()),\n            id=\"recursive:direct:dict:passthrough:incompatible_value\",\n        ),\n        param(\n            {\"_target_\": \"tests.instantiate.Tree\"},\n            {\n                \"value\": 1,\n                \"left\": {\"_target_\": \"tests.instantiate.Tree\", \"value\": IllegalType()},\n            },\n            Tree(value=1, left=Tree(value=IllegalType())),\n            id=\"recursive:direct:dict:passthrough:incompatible_value\",\n        ),\n        param(\n            TreeConf(\n                value=1,\n                left=TreeConf(value=21),\n                right=TreeConf(value=22),\n            ),\n            {},\n            Tree(value=1, left=Tree(value=21), right=Tree(value=22)),\n            id=\"recursive:direct:dataclass\",\n        ),\n        param(\n            TreeConf(\n                value=1,\n                left=TreeConf(value=21),\n            ),\n            {\"right\": {\"value\": 22}},\n            Tree(value=1, left=Tree(value=21), right=Tree(value=22)),\n            id=\"recursive:direct:dataclass:passthrough\",\n        ),\n        param(\n            TreeConf(\n                value=1,\n                left=TreeConf(value=21),\n            ),\n            {\"right\": TreeConf(value=22)},\n            Tree(value=1, left=Tree(value=21), right=Tree(value=22)),\n            id=\"recursive:direct:dataclass:passthrough\",\n        ),\n        param(\n            TreeConf(\n                value=1,\n                left=TreeConf(value=21),\n            ),\n            {\n                \"right\": TreeConf(value=IllegalType()),\n            },\n            Tree(value=1, left=Tree(value=21), right=Tree(value=IllegalType())),\n            id=\"recursive:direct:dataclass:passthrough\",\n        ),\n        # list\n        # note that passthrough to a list element is not currently supported\n        param(\n            ComposeConf(\n                transforms=[\n                    CenterCropConf(size=10),\n                    RotationConf(degrees=45),\n                ]\n            ),\n            {},\n            Compose(\n                transforms=[\n                    CenterCrop(size=10),\n                    Rotation(degrees=45),\n                ]\n            ),\n            id=\"recursive:list:dataclass\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.Compose\",\n                \"transforms\": [\n                    {\"_target_\": \"tests.instantiate.CenterCrop\", \"size\": 10},\n                    {\"_target_\": \"tests.instantiate.Rotation\", \"degrees\": 45},\n                ],\n            },\n            {},\n            Compose(\n                transforms=[\n                    CenterCrop(size=10),\n                    Rotation(degrees=45),\n                ]\n            ),\n            id=\"recursive:list:dict\",\n        ),\n        # map\n        param(\n            MappingConf(\n                dictionary={\n                    \"a\": MappingConf(),\n                    \"b\": MappingConf(),\n                }\n            ),\n            {},\n            Mapping(\n                dictionary={\n                    \"a\": Mapping(),\n                    \"b\": Mapping(),\n                }\n            ),\n            id=\"recursive:map:dataclass\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.Mapping\",\n                \"dictionary\": {\n                    \"a\": {\"_target_\": \"tests.instantiate.Mapping\"},\n                    \"b\": {\"_target_\": \"tests.instantiate.Mapping\"},\n                },\n            },\n            {},\n            Mapping(\n                dictionary={\n                    \"a\": Mapping(),\n                    \"b\": Mapping(),\n                }\n            ),\n            id=\"recursive:map:dict\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.Mapping\",\n                \"dictionary\": {\n                    \"a\": {\"_target_\": \"tests.instantiate.Mapping\"},\n                },\n            },\n            {\n                \"dictionary\": {\n                    \"b\": {\"_target_\": \"tests.instantiate.Mapping\"},\n                },\n            },\n            Mapping(\n                dictionary={\n                    \"a\": Mapping(),\n                    \"b\": Mapping(),\n                }\n            ),\n            id=\"recursive:map:dict:passthrough\",\n        ),\n    ],\n)\ndef test_recursive_instantiation(\n    instantiate_func: Any,\n    config: Any,\n    passthrough: Dict[str, Any],\n    expected: Any,\n) -> None:\n    obj = instantiate_func(config, **passthrough)\n    assert obj == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_recursive_override_test_recursive_override.assert_obj_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_recursive_override_test_recursive_override.assert_obj_expected", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 590, "end_line": 736, "span_ids": ["test_recursive_override"], "tokens": 910}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"src\", \"passthrough\", \"expected\"),\n    [\n        param(\n            {\n                \"_target_\": \"tests.instantiate.Tree\",\n                \"value\": 1,\n                \"left\": {\n                    \"_target_\": \"tests.instantiate.Tree\",\n                    \"value\": 21,\n                },\n            },\n            {},\n            Tree(value=1, left=Tree(value=21)),\n            id=\"default\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.Tree\",\n                \"_recursive_\": True,\n                \"value\": 1,\n                \"left\": {\n                    \"_target_\": \"tests.instantiate.Tree\",\n                    \"value\": 21,\n                },\n            },\n            {\"_recursive_\": True},\n            Tree(value=1, left=Tree(value=21)),\n            id=\"cfg:true,override:true\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.Tree\",\n                \"_recursive_\": True,\n                \"value\": 1,\n                \"left\": {\n                    \"_target_\": \"tests.instantiate.Tree\",\n                    \"value\": 21,\n                },\n            },\n            {\"_recursive_\": False},\n            Tree(value=1, left={\"_target_\": \"tests.instantiate.Tree\", \"value\": 21}),\n            id=\"cfg:true,override:false\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.Tree\",\n                \"_recursive_\": False,\n                \"value\": 1,\n                \"left\": {\n                    \"_target_\": \"tests.instantiate.Tree\",\n                    \"value\": 21,\n                },\n            },\n            {\"_recursive_\": True},\n            Tree(value=1, left=Tree(value=21)),\n            id=\"cfg:false,override:true\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.Tree\",\n                \"_recursive_\": False,\n                \"value\": 1,\n                \"left\": {\n                    \"_target_\": \"tests.instantiate.Tree\",\n                    \"value\": 21,\n                },\n            },\n            {\"_recursive_\": False},\n            Tree(value=1, left={\"_target_\": \"tests.instantiate.Tree\", \"value\": 21}),\n            id=\"cfg:false,override:false\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.Tree\",\n                \"value\": 1,\n                \"left\": {\n                    \"_target_\": \"tests.instantiate.Tree\",\n                    \"value\": 2,\n                    \"left\": {\n                        \"_target_\": \"tests.instantiate.Tree\",\n                        \"value\": 3,\n                    },\n                },\n            },\n            {},\n            Tree(value=1, left=Tree(value=2, left=Tree(value=3))),\n            id=\"3_levels:default\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.Tree\",\n                \"_recursive_\": False,\n                \"value\": 1,\n                \"left\": {\n                    \"_target_\": \"tests.instantiate.Tree\",\n                    \"value\": 2,\n                    \"left\": {\n                        \"_target_\": \"tests.instantiate.Tree\",\n                        \"value\": 3,\n                    },\n                },\n            },\n            {},\n            Tree(\n                value=1,\n                left={\n                    \"_target_\": \"tests.instantiate.Tree\",\n                    \"value\": 2,\n                    \"left\": {\"_target_\": \"tests.instantiate.Tree\", \"value\": 3},\n                },\n            ),\n            id=\"3_levels:cfg1=false\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.Tree\",\n                \"value\": 1,\n                \"left\": {\n                    \"_target_\": \"tests.instantiate.Tree\",\n                    \"_recursive_\": False,\n                    \"value\": 2,\n                    \"left\": {\n                        \"_target_\": \"tests.instantiate.Tree\",\n                        \"value\": 3,\n                    },\n                },\n            },\n            {},\n            Tree(\n                value=1,\n                left=Tree(\n                    value=2, left={\"_target_\": \"tests.instantiate.Tree\", \"value\": 3}\n                ),\n            ),\n            id=\"3_levels:cfg2=false\",\n        ),\n    ],\n)\ndef test_recursive_override(\n    instantiate_func: Any,\n    config: Any,\n    passthrough: Any,\n    expected: Any,\n) -> None:\n    obj = instantiate_func(config, **passthrough)\n    assert obj == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_override_target_test_override_target.assert_obj_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_override_target_test_override_target.assert_obj_expected", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 739, "end_line": 821, "span_ids": ["test_override_target"], "tokens": 635}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"src\", \"passthrough\", \"expected\"),\n    [\n        param(\n            {\n                \"_target_\": \"tests.instantiate.AClass\",\n                \"a\": 10,\n                \"b\": 20,\n                \"c\": 30,\n                \"d\": 40,\n            },\n            {\"_target_\": \"tests.instantiate.BClass\"},\n            BClass(10, 20, 30, 40),\n            id=\"str:override_same_args\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.AClass\",\n                \"a\": 10,\n                \"b\": 20,\n                \"c\": 30,\n                \"d\": 40,\n            },\n            {\"_target_\": BClass},\n            BClass(10, 20, 30, 40),\n            id=\"type:override_same_args\",\n        ),\n        param(\n            {\"_target_\": \"tests.instantiate.AClass\", \"a\": 10, \"b\": 20},\n            {\"_target_\": \"tests.instantiate.BClass\"},\n            BClass(10, 20, \"c\", \"d\"),\n            id=\"str:override_other_args\",\n        ),\n        param(\n            {\"_target_\": \"tests.instantiate.AClass\", \"a\": 10, \"b\": 20},\n            {\"_target_\": BClass},\n            BClass(10, 20, \"c\", \"d\"),\n            id=\"type:override_other_args\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.AClass\",\n                \"a\": 10,\n                \"b\": 20,\n                \"c\": {\n                    \"_target_\": \"tests.instantiate.AClass\",\n                    \"a\": \"aa\",\n                    \"b\": \"bb\",\n                    \"c\": \"cc\",\n                },\n            },\n            {\n                \"_target_\": \"tests.instantiate.BClass\",\n                \"c\": {\n                    \"_target_\": \"tests.instantiate.BClass\",\n                },\n            },\n            BClass(10, 20, BClass(a=\"aa\", b=\"bb\", c=\"cc\"), \"d\"),\n            id=\"str:recursive_override\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.AClass\",\n                \"a\": 10,\n                \"b\": 20,\n                \"c\": {\n                    \"_target_\": \"tests.instantiate.AClass\",\n                    \"a\": \"aa\",\n                    \"b\": \"bb\",\n                    \"c\": \"cc\",\n                },\n            },\n            {\"_target_\": BClass, \"c\": {\"_target_\": BClass}},\n            BClass(10, 20, BClass(a=\"aa\", b=\"bb\", c=\"cc\"), \"d\"),\n            id=\"type:recursive_override\",\n        ),\n    ],\n)\ndef test_override_target(\n    instantiate_func: Any, config: Any, passthrough: Any, expected: Any\n) -> None:\n    obj = instantiate_func(config, **passthrough)\n    assert obj == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_from_class_in_dict_test_instantiate_from_class_in_dict.assert_config_config_c": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_from_class_in_dict_test_instantiate_from_class_in_dict.assert_config_config_c", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 824, "end_line": 840, "span_ids": ["test_instantiate_from_class_in_dict"], "tokens": 113}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config, passthrough, expected\",\n    [\n        param(\n            {\"_target_\": AnotherClass, \"x\": 10},\n            {},\n            AnotherClass(10),\n            id=\"class_in_config_dict\",\n        ),\n    ],\n)\ndef test_instantiate_from_class_in_dict(\n    instantiate_func: Any, config: Any, passthrough: Any, expected: Any\n) -> None:\n    config_copy = copy.deepcopy(config)\n    assert instantiate_func(config, **passthrough) == expected\n    assert config == config_copy", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_convert_params_override_test_convert_params_override.assert_isinstance_ret_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_convert_params_override_test_convert_params_override.assert_isinstance_ret_d_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 866, "end_line": 943, "span_ids": ["test_convert_params_override"], "tokens": 509}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"primitive,expected_primitive\",\n    [\n        param(None, False, id=\"unspecified\"),\n        param(ConvertMode.NONE, False, id=\"none\"),\n        param(ConvertMode.PARTIAL, True, id=\"partial\"),\n        param(ConvertMode.ALL, True, id=\"all\"),\n    ],\n)\n@mark.parametrize(\n    \"input_,expected\",\n    [\n        param(\n            {\n                \"obj\": {\n                    \"_target_\": \"tests.instantiate.AClass\",\n                    \"a\": {\"foo\": \"bar\"},\n                    \"b\": OmegaConf.create({\"foo\": \"bar\"}),\n                    \"c\": [1, 2, 3],\n                    \"d\": OmegaConf.create([1, 2, 3]),\n                },\n            },\n            AClass(\n                a={\"foo\": \"bar\"},\n                b={\"foo\": \"bar\"},\n                c=[1, 2, 3],\n                d=[1, 2, 3],\n            ),\n            id=\"simple\",\n        ),\n        param(\n            {\n                \"value\": 99,\n                \"obj\": {\n                    \"_target_\": \"tests.instantiate.AClass\",\n                    \"a\": {\"foo\": \"${value}\"},\n                    \"b\": OmegaConf.create({\"foo\": \"${value}\"}),\n                    \"c\": [1, \"${value}\"],\n                    \"d\": OmegaConf.create([1, \"${value}\"]),\n                },\n            },\n            AClass(\n                a={\"foo\": 99},\n                b={\"foo\": 99},\n                c=[1, 99],\n                d=[1, 99],\n            ),\n            id=\"interpolation\",\n        ),\n    ],\n)\ndef test_convert_params_override(\n    instantiate_func: Any,\n    primitive: Optional[bool],\n    expected_primitive: bool,\n    input_: Any,\n    expected: Any,\n) -> None:\n    input_cfg = OmegaConf.create(input_)\n    if primitive is not None:\n        ret = instantiate_func(input_cfg.obj, _convert_=primitive)\n    else:\n        ret = instantiate_func(input_cfg.obj)\n\n    expected_list: Any\n    expected_dict: Any\n    if expected_primitive is True:\n        expected_list = list\n        expected_dict = dict\n    else:\n        expected_list = ListConfig\n        expected_dict = DictConfig\n\n    assert ret == expected\n    assert isinstance(ret.a, expected_dict)\n    assert isinstance(ret.b, expected_dict)\n    assert isinstance(ret.c, expected_list)\n    assert isinstance(ret.d, expected_list)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_convert_params_test_convert_params.assert_ret_a_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_convert_params_test_convert_params.assert_ret_a_expected", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 946, "end_line": 995, "span_ids": ["test_convert_params"], "tokens": 340}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"convert_mode\",\n    [\n        param(None, id=\"none\"),\n        param(ConvertMode.NONE, id=\"none\"),\n        param(\"none\", id=\"none\"),\n        param(ConvertMode.PARTIAL, id=\"partial\"),\n        param(\"partial\", id=\"partial\"),\n        param(ConvertMode.ALL, id=\"all\"),\n        param(\"all\", id=\"all\"),\n    ],\n)\n@mark.parametrize(\n    \"input_,expected\",\n    [\n        param(\n            {\n                \"value\": 99,\n                \"obj\": {\n                    \"_target_\": \"tests.instantiate.SimpleClass\",\n                    \"a\": {\n                        \"_target_\": \"tests.instantiate.SimpleClass\",\n                        \"a\": {\"foo\": \"${value}\"},\n                        \"b\": [1, \"${value}\"],\n                    },\n                    \"b\": None,\n                },\n            },\n            SimpleClass(a={\"foo\": 99}, b=[1, 99]),\n            id=\"simple\",\n        ),\n    ],\n)\ndef test_convert_params(\n    instantiate_func: Any, input_: Any, expected: Any, convert_mode: Any\n) -> None:\n    cfg = OmegaConf.create(input_)\n    kwargs = {\"a\": {\"_convert_\": convert_mode}}\n    ret = instantiate_func(cfg.obj, **kwargs)\n\n    if convert_mode in (ConvertMode.PARTIAL, ConvertMode.ALL):\n        assert isinstance(ret.a.a, dict)\n        assert isinstance(ret.a.b, list)\n    elif convert_mode in (None, ConvertMode.NONE):\n        assert isinstance(ret.a.a, DictConfig)\n        assert isinstance(ret.a.b, ListConfig)\n    else:\n        assert False\n\n    assert ret.a == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_convert_and_recursive_node_test_convert_and_recursive_node.assert_isinstance_obj_a_b": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_convert_and_recursive_node_test_convert_and_recursive_node.assert_isinstance_obj_a_b", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 998, "end_line": 1016, "span_ids": ["test_convert_and_recursive_node"], "tokens": 128}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"nested_recursive\", [True, False])\ndef test_convert_and_recursive_node(\n    instantiate_func: Any, nested_recursive: bool\n) -> None:\n    cfg = {\n        \"_target_\": \"tests.instantiate.SimpleClass\",\n        \"a\": {\n            \"_target_\": \"tests.instantiate.SimpleClass\",\n            \"_convert_\": \"all\",\n            \"_recursive_\": nested_recursive,\n            \"a\": {},\n            \"b\": [],\n        },\n        \"b\": None,\n    }\n\n    obj = instantiate_func(cfg)\n    assert isinstance(obj.a.a, dict)\n    assert isinstance(obj.a.b, list)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_convert_dataclasses_test_instantiate_convert_dataclasses.for_exp_mode_in_zip_expe.assert_recisinstance_inst": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_convert_dataclasses_test_instantiate_convert_dataclasses.for_exp_mode_in_zip_expe.assert_recisinstance_inst", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 1019, "end_line": 1111, "span_ids": ["test_instantiate_convert_dataclasses"], "tokens": 719}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"src,expected\",\n    [\n        param(\n            {\n                \"value\": 99,\n                \"obj\": {\n                    \"_target_\": \"tests.instantiate.SimpleDataClass\",\n                    \"a\": {\n                        \"_target_\": \"tests.instantiate.SimpleDataClass\",\n                        \"a\": {\"foo\": \"${value}\"},\n                        \"b\": [1, \"${value}\"],\n                    },\n                    \"b\": None,\n                },\n            },\n            (\n                SimpleDataClass(\n                    a=SimpleDataClass(\n                        a=OmegaConf.create({\"foo\": 99}), b=OmegaConf.create([1, 99])\n                    ),\n                    b=None,\n                ),\n                SimpleDataClass(a=SimpleDataClass(a={\"foo\": 99}, b=[1, 99]), b=None),\n                SimpleDataClass(a=SimpleDataClass(a={\"foo\": 99}, b=[1, 99]), b=None),\n            ),\n            id=\"dataclass+dataclass\",\n        ),\n        param(\n            {\n                \"value\": 99,\n                \"obj\": {\n                    \"_target_\": \"tests.instantiate.SimpleClass\",\n                    \"a\": {\n                        \"_target_\": \"tests.instantiate.SimpleDataClass\",\n                        \"a\": {\"foo\": \"${value}\"},\n                        \"b\": [1, \"${value}\"],\n                    },\n                    \"b\": None,\n                },\n            },\n            (\n                SimpleClass(\n                    a=SimpleDataClass(\n                        a=OmegaConf.create({\"foo\": 99}), b=OmegaConf.create([1, 99])\n                    ),\n                    b=None,\n                ),\n                SimpleClass(a=SimpleDataClass(a={\"foo\": 99}, b=[1, 99]), b=None),\n                SimpleClass(a=SimpleDataClass(a={\"foo\": 99}, b=[1, 99]), b=None),\n            ),\n            id=\"class+dataclass\",\n        ),\n        param(\n            {\n                \"value\": 99,\n                \"obj\": {\n                    \"a\": {\n                        \"_target_\": \"tests.instantiate.SimpleDataClass\",\n                        \"a\": {\"foo\": \"${value}\"},\n                        \"b\": [1, \"${value}\"],\n                    },\n                    \"b\": None,\n                },\n            },\n            (\n                # a is a DictConfig because of top level DictConfig\n                OmegaConf.create(\n                    {\n                        \"a\": SimpleDataClass(\n                            a=OmegaConf.create({\"foo\": 99}), b=OmegaConf.create([1, 99])\n                        ),\n                        \"b\": None,\n                    }\n                ),\n                {\"a\": SimpleDataClass(a={\"foo\": 99}, b=[1, 99]), \"b\": None},\n                {\"a\": SimpleDataClass(a={\"foo\": 99}, b=[1, 99]), \"b\": None},\n            ),\n            id=\"dict+dataclass\",\n        ),\n    ],\n)\ndef test_instantiate_convert_dataclasses(\n    instantiate_func: Any, config: Any, expected: Tuple[Any, Any, Any]\n) -> None:\n    \"\"\"Instantiate on nested dataclass + dataclass.\"\"\"\n    modes = [ConvertMode.NONE, ConvertMode.PARTIAL, ConvertMode.ALL]\n    for exp, mode in zip(expected, modes):\n        # create DictConfig to ensure interpolations are working correctly when we pass a cfg.obj\n        cfg = OmegaConf.create(config)\n        instance = instantiate_func(cfg.obj, _convert_=mode)\n        assert instance == exp\n        assert recisinstance(instance, exp)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiated_regular_class_container_types_test_instantiated_regular_class_container_types.None_5": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiated_regular_class_container_types_test_instantiated_regular_class_container_types.None_5", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 1114, "end_line": 1139, "span_ids": ["test_instantiated_regular_class_container_types"], "tokens": 283}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"mode\", \"expected_dict\", \"expected_list\"),\n    [\n        param(ConvertMode.NONE, DictConfig, ListConfig, id=\"none\"),\n        param(ConvertMode.ALL, dict, list, id=\"all\"),\n        param(ConvertMode.PARTIAL, dict, list, id=\"partial\"),\n    ],\n)\ndef test_instantiated_regular_class_container_types(\n    instantiate_func: Any, mode: Any, expected_dict: Any, expected_list: Any\n) -> None:\n    cfg = {\"_target_\": \"tests.instantiate.SimpleClass\", \"a\": {}, \"b\": []}\n    ret = instantiate_func(cfg, _convert_=mode)\n    assert isinstance(ret.a, expected_dict)\n    assert isinstance(ret.b, expected_list)\n\n    cfg2 = {\n        \"_target_\": \"tests.instantiate.SimpleClass\",\n        \"a\": {\"_target_\": \"tests.instantiate.SimpleClass\", \"a\": {}, \"b\": []},\n        \"b\": [{\"_target_\": \"tests.instantiate.SimpleClass\", \"a\": {}, \"b\": []}],\n    }\n    ret = instantiate_func(cfg2, _convert_=mode)\n    assert isinstance(ret.a.a, expected_dict)\n    assert isinstance(ret.a.b, expected_list)\n    assert isinstance(ret.b[0].a, expected_dict)\n    assert isinstance(ret.b[0].b, expected_list)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiated_regular_class_container_types_partial_test_instantiated_regular_class_container_types_partial2.assert_OmegaConf_get_type": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiated_regular_class_container_types_partial_test_instantiated_regular_class_container_types_partial2.assert_OmegaConf_get_type", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 1142, "end_line": 1168, "span_ids": ["test_instantiated_regular_class_container_types_partial2", "test_instantiated_regular_class_container_types_partial"], "tokens": 221}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_instantiated_regular_class_container_types_partial(\n    instantiate_func: Any,\n) -> None:\n    cfg = {\n        \"_target_\": \"tests.instantiate.SimpleClass\",\n        \"a\": {},\n        \"b\": User(name=\"Bond\", age=7),\n    }\n    ret = instantiate_func(cfg, _convert_=ConvertMode.PARTIAL)\n    assert isinstance(ret.a, dict)\n    assert isinstance(ret.b, DictConfig)\n    assert OmegaConf.get_type(ret.b) is User\n\n\ndef test_instantiated_regular_class_container_types_partial2(\n    instantiate_func: Any,\n) -> None:\n    cfg = {\n        \"_target_\": \"tests.instantiate.SimpleClass\",\n        \"a\": [{}, User(name=\"Bond\", age=7)],\n        \"b\": None,\n    }\n    ret = instantiate_func(cfg, _convert_=ConvertMode.PARTIAL)\n    assert isinstance(ret.a, list)\n    assert isinstance(ret.a[0], dict)\n    assert isinstance(ret.a[1], DictConfig)\n    assert OmegaConf.get_type(ret.a[1]) is User", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiated_regular_class_container_types_partial__recursive_test_instantiated_regular_class_container_types_partial__recursive.assert_OmegaConf_get_type": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiated_regular_class_container_types_partial__recursive_test_instantiated_regular_class_container_types_partial__recursive.assert_OmegaConf_get_type", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 1171, "end_line": 1192, "span_ids": ["test_instantiated_regular_class_container_types_partial__recursive"], "tokens": 155}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"src\",\n    [\n        {\n            \"_target_\": \"tests.instantiate.SimpleClass\",\n            \"a\": {\n                \"_target_\": \"tests.instantiate.SimpleClass\",\n                \"a\": {},\n                \"b\": User(name=\"Bond\", age=7),\n            },\n            \"b\": None,\n        }\n    ],\n)\ndef test_instantiated_regular_class_container_types_partial__recursive(\n    instantiate_func: Any, config: Any\n) -> None:\n    ret = instantiate_func(config, _convert_=ConvertMode.PARTIAL)\n    assert isinstance(ret.a, SimpleClass)\n    assert isinstance(ret.a.a, dict)\n    assert isinstance(ret.a.b, DictConfig)\n    assert OmegaConf.get_type(ret.a.b) is User", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_convert_in_config_test_convert_in_config.if_is_primitive_.else_.assert_isinstance_ret_b_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_convert_in_config_test_convert_in_config.if_is_primitive_.else_.assert_isinstance_ret_b_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 1195, "end_line": 1245, "span_ids": ["test_convert_in_config"], "tokens": 327}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"input_,is_primitive,expected\",\n    [\n        param(\n            {\n                \"value\": 99,\n                \"obj\": SimpleClassPrimitiveConf(\n                    a={\"foo\": \"${value}\"}, b=[1, \"${value}\"]\n                ),\n            },\n            True,\n            SimpleClass(a={\"foo\": 99}, b=[1, 99]),\n            id=\"primitive_specified_true\",\n        ),\n        param(\n            {\n                \"value\": 99,\n                \"obj\": SimpleClassNonPrimitiveConf(\n                    a={\"foo\": \"${value}\"}, b=[1, \"${value}\"]\n                ),\n            },\n            False,\n            SimpleClass(a={\"foo\": 99}, b=[1, 99]),\n            id=\"primitive_specified_false\",\n        ),\n        param(\n            {\n                \"value\": 99,\n                \"obj\": SimpleClassDefaultPrimitiveConf(\n                    a={\"foo\": \"${value}\"}, b=[1, \"${value}\"]\n                ),\n            },\n            False,\n            SimpleClass(a={\"foo\": 99}, b=[1, 99]),\n            id=\"default_behavior\",\n        ),\n    ],\n)\ndef test_convert_in_config(\n    instantiate_func: Any, input_: Any, is_primitive: bool, expected: Any\n) -> None:\n    cfg = OmegaConf.create(input_)\n    ret = instantiate_func(cfg.obj)\n    assert ret == expected\n\n    if is_primitive:\n        assert isinstance(ret.a, dict)\n        assert isinstance(ret.b, list)\n    else:\n        assert isinstance(ret.a, DictConfig)\n        assert isinstance(ret.b, ListConfig)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_convert_mode_equality_test_convert_mode_equality.assert_v1_v2_expe": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_convert_mode_equality_test_convert_mode_equality.assert_v1_v2_expe", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 1248, "end_line": 1259, "span_ids": ["test_convert_mode_equality"], "tokens": 114}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"v1\", \"v2\", \"expected\"),\n    [\n        (ConvertMode.ALL, ConvertMode.ALL, True),\n        (ConvertMode.NONE, \"none\", True),\n        (ConvertMode.PARTIAL, \"Partial\", True),\n        (ConvertMode.ALL, ConvertMode.NONE, False),\n        (ConvertMode.NONE, \"all\", False),\n    ],\n)\ndef test_convert_mode_equality(v1: Any, v2: Any, expected: bool) -> None:\n    assert (v1 == v2) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_nested_dataclass_with_partial_convert_test_nested_dataclass_with_partial_convert.None_5": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_nested_dataclass_with_partial_convert_test_nested_dataclass_with_partial_convert.None_5", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 1262, "end_line": 1278, "span_ids": ["test_nested_dataclass_with_partial_convert"], "tokens": 225}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_nested_dataclass_with_partial_convert(instantiate_func: Any) -> None:\n    # dict\n    cfg = OmegaConf.structured(NestedConf)\n    ret = instantiate_func(cfg, _convert_=\"partial\")\n    assert isinstance(ret.a, DictConfig) and OmegaConf.get_type(ret.a) == User\n    assert isinstance(ret.b, DictConfig) and OmegaConf.get_type(ret.b) == User\n    expected = SimpleClass(a=User(name=\"a\", age=1), b=User(name=\"b\", age=2))\n    assert ret == expected\n\n    # list\n    lst = [User(name=\"a\", age=1)]\n    cfg = OmegaConf.structured(NestedConf(a=lst))\n    ret = instantiate_func(cfg, _convert_=\"partial\")\n    assert isinstance(ret.a, list) and OmegaConf.get_type(ret.a[0]) == User\n    assert isinstance(ret.b, DictConfig) and OmegaConf.get_type(ret.b) == User\n    expected = SimpleClass(a=lst, b=User(name=\"b\", age=2))\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_DictValues_test_dict_with_structured_config.None_5": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_DictValues_test_dict_with_structured_config.None_5", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 1281, "end_line": 1309, "span_ids": ["ListValues.__init__", "DictValues.__init__", "ListValues", "test_dict_with_structured_config", "DictValues"], "tokens": 248}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class DictValues:\n    def __init__(self, d: Dict[str, User]):\n        self.d = d\n\n\nclass ListValues:\n    def __init__(self, d: List[User]):\n        self.d = d\n\n\ndef test_dict_with_structured_config(instantiate_func: Any) -> None:\n    @dataclass\n    class DictValuesConf:\n        _target_: str = \"tests.instantiate.test_instantiate.DictValues\"\n        d: Dict[str, User] = MISSING\n\n    schema = OmegaConf.structured(DictValuesConf)\n    cfg = OmegaConf.merge(schema, {\"d\": {\"007\": {\"name\": \"Bond\", \"age\": 7}}})\n    obj = instantiate_func(config=cfg, _convert_=\"none\")\n    assert OmegaConf.is_dict(obj.d)\n    assert OmegaConf.get_type(obj.d[\"007\"]) == User\n\n    obj = instantiate_func(config=cfg, _convert_=\"partial\")\n    assert isinstance(obj.d, dict)\n    assert OmegaConf.get_type(obj.d[\"007\"]) == User\n\n    obj = instantiate_func(config=cfg, _convert_=\"all\")\n    assert isinstance(obj.d, dict)\n    assert isinstance(obj.d[\"007\"], dict)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_list_with_structured_config_test_list_with_structured_config.assert_isinstance_obj_d_0": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_list_with_structured_config_test_list_with_structured_config.assert_isinstance_obj_d_0", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 1312, "end_line": 1331, "span_ids": ["test_list_with_structured_config"], "tokens": 196}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_list_with_structured_config(instantiate_func: Any) -> None:\n    @dataclass\n    class ListValuesConf:\n        _target_: str = \"tests.instantiate.test_instantiate.ListValues\"\n        d: List[User] = MISSING\n\n    schema = OmegaConf.structured(ListValuesConf)\n    cfg = OmegaConf.merge(schema, {\"d\": [{\"name\": \"Bond\", \"age\": 7}]})\n\n    obj = instantiate_func(config=cfg, _convert_=\"none\")\n    assert isinstance(obj.d, ListConfig)\n    assert OmegaConf.get_type(obj.d[0]) == User\n\n    obj = instantiate_func(config=cfg, _convert_=\"partial\")\n    assert isinstance(obj.d, list)\n    assert OmegaConf.get_type(obj.d[0]) == User\n\n    obj = instantiate_func(config=cfg, _convert_=\"all\")\n    assert isinstance(obj.d, list)\n    assert isinstance(obj.d[0], dict)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_list_as_none_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_list_as_none_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 1334, "end_line": 1354, "span_ids": ["test_list_as_none", "test_dict_as_none"], "tokens": 160}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_list_as_none(instantiate_func: Any) -> None:\n    @dataclass\n    class ListValuesConf:\n        _target_: str = \"tests.instantiate.test_instantiate.ListValues\"\n        d: Optional[List[User]] = None\n\n    cfg = OmegaConf.structured(ListValuesConf)\n    obj = instantiate_func(config=cfg)\n    assert obj.d is None\n\n\ndef test_dict_as_none(instantiate_func: Any) -> None:\n    @dataclass\n    class DictValuesConf:\n        _target_: str = \"tests.instantiate.test_instantiate.DictValues\"\n        d: Optional[Dict[str, User]] = None\n\n    cfg = OmegaConf.structured(DictValuesConf)\n    obj = instantiate_func(config=cfg)\n    assert obj.d is None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_positional.py_test_instantiate_args_kwargs_with_interpolation_test_instantiate_args_kwargs_with_interpolation.assert_instantiate_cfg_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_positional.py_test_instantiate_args_kwargs_with_interpolation_test_instantiate_args_kwargs_with_interpolation.assert_instantiate_cfg_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_positional.py", "file_name": "test_positional.py", "file_type": "text/x-python", "category": "test", "start_line": 50, "end_line": 78, "span_ids": ["test_instantiate_args_kwargs_with_interpolation"], "tokens": 196}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"cfg\", \"expected\"),\n    [\n        param(\n            {\"_target_\": \"tests.instantiate.ArgsClass\", \"_args_\": [\"${.1}\", 2]},\n            ArgsClass(2, 2),\n            id=\"config:args_only\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.ArgsClass\",\n                \"_args_\": [1],\n                \"foo\": \"${._args_}\",\n            },\n            ArgsClass(1, foo=[1]),\n            id=\"config:args+kwargs\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.ArgsClass\",\n                \"foo\": \"${._target_}\",\n            },\n            ArgsClass(foo=\"tests.instantiate.ArgsClass\"),\n            id=\"config:kwargs_only)\",\n        ),\n    ],\n)\ndef test_instantiate_args_kwargs_with_interpolation(cfg: Any, expected: Any) -> None:\n    assert instantiate(cfg) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_positional.py_test_instantiate_args_kwargs_with_override_test_instantiate_args_kwargs_with_override.assert_instantiate_cfg_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_positional.py_test_instantiate_args_kwargs_with_override_test_instantiate_args_kwargs_with_override.assert_instantiate_cfg_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_positional.py", "file_name": "test_positional.py", "file_type": "text/x-python", "category": "test", "start_line": 81, "end_line": 117, "span_ids": ["test_instantiate_args_kwargs_with_override"], "tokens": 272}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"cfg\", \"args_override\", \"kwargs_override\", \"expected\"),\n    [\n        param(\n            {\"_target_\": \"tests.instantiate.ArgsClass\", \"_args_\": [1]},\n            [2],\n            {},\n            ArgsClass(2),\n            id=\"direct_args\",\n        ),\n        param(\n            {\"_target_\": \"tests.instantiate.ArgsClass\", \"_args_\": [1]},\n            [],\n            {\"_args_\": [2]},\n            ArgsClass(2),\n            id=\"indirect_args\",\n        ),\n        param(\n            {\"_target_\": \"tests.instantiate.ArgsClass\", \"_args_\": [1]},\n            [],\n            {\"foo\": 10},\n            ArgsClass(1, foo=10),\n            id=\"kwargs\",\n        ),\n        param(\n            {\"_target_\": \"tests.instantiate.ArgsClass\", \"_args_\": [1]},\n            [],\n            {\"foo\": 10, \"_args_\": [2]},\n            ArgsClass(2, foo=10),\n            id=\"kwargs+indirect_args\",\n        ),\n    ],\n)\ndef test_instantiate_args_kwargs_with_override(\n    cfg: Any, args_override: Any, expected: Any, kwargs_override: Any\n) -> None:\n    assert instantiate(cfg, *args_override, **kwargs_override) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_positional.py_None_4_test_recursive_instantiate_args_kwargs.assert_instantiate_cfg_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_positional.py_None_4_test_recursive_instantiate_args_kwargs.assert_instantiate_cfg_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_positional.py", "file_name": "test_positional.py", "file_type": "text/x-python", "category": "test", "start_line": 120, "end_line": 174, "span_ids": ["test_recursive_instantiate_args_kwargs", "test_instantiate_args_kwargs_with_override"], "tokens": 344}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "###################\n# recursive tests #\n###################\n@mark.parametrize(\n    (\"cfg\", \"expected\"),\n    [\n        param(\n            {\n                \"_target_\": \"tests.instantiate.ArgsClass\",\n                \"child\": {\"_target_\": \"tests.instantiate.ArgsClass\"},\n            },\n            ArgsClass(child=ArgsClass()),\n            id=\"config:no_params\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.ArgsClass\",\n                \"_args_\": [1],\n                \"child\": {\n                    \"_target_\": \"tests.instantiate.ArgsClass\",\n                    \"_args_\": [2],\n                },\n            },\n            ArgsClass(1, child=ArgsClass(2)),\n            id=\"config:args_only\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.ArgsClass\",\n                \"_args_\": [1],\n                \"foo\": 10,\n                \"child\": {\n                    \"_target_\": \"tests.instantiate.ArgsClass\",\n                    \"_args_\": [2],\n                },\n            },\n            ArgsClass(1, foo=10, child=ArgsClass(2)),\n            id=\"config:args+kwargs\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.ArgsClass\",\n                \"child\": {\n                    \"_target_\": \"tests.instantiate.ArgsClass\",\n                    \"_args_\": [2],\n                },\n                \"foo\": 10,\n            },\n            ArgsClass(foo=10, child=ArgsClass(2)),\n            id=\"config:kwargs_only\",\n        ),\n    ],\n)\ndef test_recursive_instantiate_args_kwargs(cfg: Any, expected: Any) -> None:\n    assert instantiate(cfg) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_positional.py_test_recursive_instantiate_args_kwargs_with_override_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_positional.py_test_recursive_instantiate_args_kwargs_with_override_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_positional.py", "file_name": "test_positional.py", "file_type": "text/x-python", "category": "test", "start_line": 177, "end_line": 238, "span_ids": ["test_recursive_instantiate_args_kwargs_with_override"], "tokens": 431}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"cfg\", \"args_override\", \"kwargs_override\", \"expected\"),\n    [\n        param(\n            {\n                \"_target_\": \"tests.instantiate.ArgsClass\",\n                \"child\": {\"_target_\": \"tests.instantiate.ArgsClass\"},\n            },\n            [1],\n            {},\n            ArgsClass(1, child=ArgsClass()),\n            id=\"direct_args_not_in_nested\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.ArgsClass\",\n                \"_args_\": [1],\n                \"child\": {\n                    \"_target_\": \"tests.instantiate.ArgsClass\",\n                    \"_args_\": [2],\n                },\n            },\n            [],\n            {\"_args_\": [3], \"child\": {\"_args_\": [4]}},\n            ArgsClass(3, child=ArgsClass(4)),\n            id=\"indirect_args\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.ArgsClass\",\n                \"_args_\": [1],\n                \"child\": {\n                    \"_target_\": \"tests.instantiate.ArgsClass\",\n                    \"_args_\": [2],\n                },\n            },\n            [],\n            {\"foo\": 10},\n            ArgsClass(1, foo=10, child=ArgsClass(2)),\n            id=\"kwargs\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.ArgsClass\",\n                \"_args_\": [1],\n                \"child\": {\n                    \"_target_\": \"tests.instantiate.ArgsClass\",\n                    \"_args_\": [2],\n                },\n            },\n            [],\n            {\"foo\": 10, \"_args_\": [3], \"child\": {\"_args_\": [4]}},\n            ArgsClass(3, foo=10, child=ArgsClass(4)),\n            id=\"kwargs+indirect_args\",\n        ),\n    ],\n)\ndef test_recursive_instantiate_args_kwargs_with_override(\n    cfg: Any, args_override: Any, expected: Any, kwargs_override: Any\n) -> None:\n    assert instantiate(cfg, *args_override, **kwargs_override) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_positional_only_arguments.py_sys_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_positional_only_arguments.py_sys_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_positional_only_arguments.py", "file_name": "test_positional_only_arguments.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 52, "span_ids": ["test_positional_only_arguments", "docstring"], "tokens": 299}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import sys\nfrom typing import Any\n\nfrom pytest import mark, param, skip\n\nfrom hydra.utils import instantiate\n\nif sys.version_info < (3, 8):\n    skip(\n        reason=\"Positional-only syntax is only supported in Python 3.8 or newer\",\n        allow_module_level=True,\n    )\n\n\nfrom .positional_only import PosOnlyArgsClass\n\n\n@mark.parametrize(\n    (\"cfg\", \"args\", \"expected\"),\n    [\n        param(\n            {\n                \"_target_\": \"tests.instantiate.positional_only.PosOnlyArgsClass\",\n                \"_args_\": [1, 2],\n            },\n            [],\n            PosOnlyArgsClass(1, 2),\n            id=\"pos_only_in_config\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.positional_only.PosOnlyArgsClass\",\n            },\n            [1, 2],\n            PosOnlyArgsClass(1, 2),\n            id=\"pos_only_in_override\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.positional_only.PosOnlyArgsClass\",\n                \"_args_\": [1, 2],\n            },\n            [3, 4],\n            PosOnlyArgsClass(3, 4),\n            id=\"pos_only_in_both\",\n        ),\n    ],\n)\ndef test_positional_only_arguments(cfg: Any, args: Any, expected: Any) -> None:\n    assert instantiate(cfg, *args) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/discovery_test_plugin/setup.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/discovery_test_plugin/setup.py__", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/discovery_test_plugin/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 13, "span_ids": ["docstring"], "tokens": 99}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom setuptools import find_namespace_packages, setup\n\nsetup(\n    name=\"hydra-discovery-test-plugin\",\n    version=\"0.1.0\",\n    author=\"Omry Yadan\",\n    author_email=\"omry@fb.com\",\n    url=\"https://github.com/facebookresearch/hydra/\",\n    packages=find_namespace_packages(include=[\"hydra_plugins.*\"]),\n    install_requires=[\"hydra-core\"],\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/initialization_test_app/setup.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/initialization_test_app/setup.py__", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/initialization_test_app/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 19, "span_ids": ["docstring"], "tokens": 102}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "#!/usr/bin/env python\n\n# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\n\nfrom setuptools import find_packages, setup\n\nsetup(\n    name=\"initialization-test-app\",\n    version=\"0.1\",\n    packages=find_packages(include=[\"initialization_test_app\"]),\n    entry_points={\n        \"console_scripts\": [\n            \"initialization-test-app = initialization_test_app.main:main\"\n        ]\n    },\n    include_package_data=True,\n    install_requires=[\"hydra-core\"],\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/namespace_pkg_config_source_test/namespace_test/test_namespace.py_from_pytest_import_mark__TestCoreConfigSources.pass": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/namespace_pkg_config_source_test/namespace_test/test_namespace.py_from_pytest_import_mark__TestCoreConfigSources.pass", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/namespace_pkg_config_source_test/namespace_test/test_namespace.py", "file_name": "test_namespace.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 26, "span_ids": ["TestCoreConfigSources", "docstring"], "tokens": 137}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pytest import mark, param\n\nfrom hydra import initialize\nfrom hydra._internal.core_plugins.importlib_resources_config_source import (\n    ImportlibResourcesConfigSource,\n)\nfrom hydra.core.global_hydra import GlobalHydra\nfrom hydra.test_utils.config_source_common_tests import ConfigSourceTestSuite\nfrom hydra.test_utils.test_utils import chdir_plugin_root\n\nchdir_plugin_root()\n\n\n@mark.parametrize(\n    \"type_, path\",\n    [\n        param(\n            ImportlibResourcesConfigSource,\n            \"pkg://some_namespace.namespace_test.dir\",\n            id=\"pkg_in_namespace\",\n        ),\n    ],\n)\nclass TestCoreConfigSources(ConfigSourceTestSuite):\n    pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/namespace_pkg_config_source_test/setup.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/standalone_apps/namespace_pkg_config_source_test/setup.py__", "embedding": null, "metadata": {"file_path": "tests/standalone_apps/namespace_pkg_config_source_test/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 13, "span_ids": ["docstring"], "tokens": 98}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom setuptools import find_namespace_packages, setup\n\nsetup(\n    name=\"hydra-namespace-test-app\",\n    version=\"0.1.0\",\n    author=\"Omry Yadan\",\n    author_email=\"omry@fb.com\",\n    url=\"https://github.com/facebookresearch/hydra/\",\n    packages=find_namespace_packages(include=[\"some_namespace.*\"]),\n    install_requires=[\"hydra-core\"],\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_can_fail/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_can_fail/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_can_fail/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_can_fail/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_can_fail/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_can_fail/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 15, "span_ids": ["my_app", "impl", "docstring"], "tokens": 78}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(version_base=None)\ndef my_app(cfg: DictConfig) -> None:\n    val = 1 / cfg.divisor\n    print(f\"val={val}\")\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_callbacks/custom_callback/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_callbacks/custom_callback/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_callbacks/custom_callback/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_callbacks/custom_callback/my_app.py_logging_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_callbacks/custom_callback/my_app.py_logging_", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_callbacks/custom_callback/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 3, "end_line": 48, "span_ids": ["CustomCallback.__init__", "impl:3", "CustomCallback.on_job_end", "CustomCallback.on_multirun_end", "my_app", "CustomCallback.on_run_start", "CustomCallback.on_multirun_start", "CustomCallback", "CustomCallback.on_job_start", "docstring", "CustomCallback.on_run_end"], "tokens": 344}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nfrom typing import Any\n\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\nfrom hydra.core.utils import JobReturn\nfrom hydra.experimental.callback import Callback\n\nlog = logging.getLogger(__name__)\n\n\nclass CustomCallback(Callback):\n    def __init__(self, callback_name: str) -> None:\n        self.name = callback_name\n        log.info(f\"Init {self.name}\")\n\n    def on_job_start(self, config: DictConfig, **kwargs: Any) -> None:\n        log.info(f\"{self.name} on_job_start\")\n\n    def on_job_end(\n        self, config: DictConfig, job_return: JobReturn, **kwargs: Any\n    ) -> None:\n        log.info(f\"{self.name} on_job_end\")\n\n    def on_run_start(self, config: DictConfig, **kwargs: Any) -> None:\n        log.info(f\"{self.name} on_run_start\")\n\n    def on_run_end(self, config: DictConfig, **kwargs: Any) -> None:\n        log.info(f\"{self.name} on_run_end\")\n\n    def on_multirun_start(self, config: DictConfig, **kwargs: Any) -> None:\n        log.info(f\"{self.name} on_multirun_start\")\n\n    def on_multirun_end(self, config: DictConfig, **kwargs: Any) -> None:\n        log.info(f\"{self.name} on_multirun_end\")\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    log.info(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/custom_env_defaults/hydra_plugins/env_defaults/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/custom_env_defaults/hydra_plugins/env_defaults/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/custom_env_defaults/hydra_plugins/env_defaults/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/custom_env_defaults/hydra_plugins/env_defaults/conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/custom_env_defaults/hydra_plugins/env_defaults/conf/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/custom_env_defaults/hydra_plugins/env_defaults/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/custom_env_defaults/hydra_plugins/env_defaults/env_defaults.py_from_hydra_core_config_se_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/custom_env_defaults/hydra_plugins/env_defaults/env_defaults.py_from_hydra_core_config_se_", "embedding": null, "metadata": {"file_path": "tests/test_apps/custom_env_defaults/hydra_plugins/env_defaults/env_defaults.py", "file_name": "env_defaults.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 14, "span_ids": ["TestEnvDefaultSearchPathPlugin.manipulate_search_path", "TestEnvDefaultSearchPathPlugin", "docstring"], "tokens": 95}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from hydra.core.config_search_path import ConfigSearchPath\nfrom hydra.plugins.search_path_plugin import SearchPathPlugin\n\n\nclass TestEnvDefaultSearchPathPlugin(SearchPathPlugin):\n    def manipulate_search_path(self, search_path: ConfigSearchPath) -> None:\n        # prepend search path to override env default\n        search_path.prepend(\n            provider=\"test-env-defaults\",\n            path=\"pkg://hydra_plugins.env_defaults.conf\",\n            anchor=\"hydra\",\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/custom_env_defaults/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/custom_env_defaults/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/custom_env_defaults/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 19, "span_ids": ["my_app", "impl:3", "docstring"], "tokens": 83}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nimport logging\nimport os\n\nfrom omegaconf import DictConfig\n\nimport hydra\n\nlog = logging.getLogger(__name__)\n\n\n@hydra.main(version_base=None)\ndef my_app(_: DictConfig) -> None:\n    assert os.getenv(\"FOO\") == \"bar\"\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/hydra_main_without_config_path/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/hydra_main_without_config_path/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/hydra_main_without_config_path/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 58}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main()\ndef my_app(_: DictConfig) -> None:\n    pass\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/structured_with_none_list/my_app.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/structured_with_none_list/my_app.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "tests/test_apps/structured_with_none_list/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 27, "span_ids": ["impl:4", "impl", "main", "Config", "docstring"], "tokens": 106}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\nfrom typing import List, Optional\n\nfrom omegaconf import DictConfig\n\nimport hydra\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass\nclass Config:\n    list: Optional[List[int]] = None\n\n\ncs = ConfigStore.instance()\ncs.store(name=\"config\", node=Config)\n\n\n@hydra.main(version_base=None, config_name=\"config\")\ndef main(cfg: DictConfig) -> None:\n    print(cfg)\n\n\nif __name__ == \"__main__\":\n    main()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_basic_launcher.py_from_pytest_import_mark__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_basic_launcher.py_from_pytest_import_mark__", "embedding": null, "metadata": {"file_path": "tests/test_basic_launcher.py", "file_name": "test_basic_launcher.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 53, "span_ids": ["TestBasicSweeperWithBatching", "TestBasicLauncher", "TestBasicLauncherIntegration", "docstring"], "tokens": 233}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pytest import mark, param\n\nfrom hydra.test_utils.launcher_common_tests import (\n    BatchedSweeperTestSuite,\n    IntegrationTestSuite,\n    LauncherTestSuite,\n)\n\n\n@mark.parametrize(\"launcher_name, overrides\", [(\"basic\", [])])\nclass TestBasicLauncher(LauncherTestSuite):\n    pass\n\n\n@mark.parametrize(\n    \"task_launcher_cfg, extra_flags\",\n    [\n        param(\n            {},\n            [\n                \"-m\",\n                \"hydra/launcher=basic\",\n                \"hydra/hydra_logging=disabled\",\n                \"hydra/job_logging=disabled\",\n            ],\n            id=\"basic_launcher_multirun\",\n        )\n    ],\n)\nclass TestBasicLauncherIntegration(IntegrationTestSuite):\n    \"\"\"\n    Run this launcher through the integration test suite.\n    \"\"\"\n\n    pass\n\n\n@mark.parametrize(\n    \"launcher_name, overrides\",\n    [\n        (\n            \"basic\",\n            [\n                \"hydra/sweeper=basic\",\n                \"hydra.sweeper.max_batch_size=2\",\n            ],\n        )\n    ],\n)\nclass TestBasicSweeperWithBatching(BatchedSweeperTestSuite):\n    ...", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_basic_sweeper.py_sys_test_split.assert_lret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_basic_sweeper.py_sys_test_split.assert_lret_expected", "embedding": null, "metadata": {"file_path": "tests/test_basic_sweeper.py", "file_name": "test_basic_sweeper.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 60, "span_ids": ["test_split", "docstring"], "tokens": 597}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import sys\nfrom textwrap import dedent\nfrom typing import Any, List, Optional\n\nfrom pytest import mark, param\n\nfrom hydra._internal.core_plugins.basic_sweeper import BasicSweeper\nfrom hydra.core.override_parser.overrides_parser import OverridesParser\nfrom hydra.test_utils.test_utils import assert_regex_match, run_process\n\n\n@mark.parametrize(\n    \"args,max_batch_size,expected\",\n    [\n        param([\"x=10\"], None, [[[\"x=10\"]]], id=\"simple\"),\n        param([\"x=10,20\"], None, [[[\"x=10\"], [\"x=20\"]]], id=\"split_1d\"),\n        param([\"x=[10,20]\"], None, [[[\"x=[10,20]\"]]], id=\"not_split_yaml_list\"),\n        param(\n            [\"x=[a,b,c],[d,e,f]\"],\n            None,\n            [[[\"x=[a,b,c]\"], [\"x=[d,e,f]\"]]],\n            id=\"list_of_lists\",\n        ),\n        param(\n            [\"a=1,2\", \"b=10,11\"],\n            None,\n            [[[\"a=1\", \"b=10\"], [\"a=1\", \"b=11\"], [\"a=2\", \"b=10\"], [\"a=2\", \"b=11\"]]],\n            id=\"no_batching\",\n        ),\n        param(\n            [\"a=1,2\", \"b=10,11\"],\n            1,\n            [\n                [[\"a=1\", \"b=10\"]],\n                [[\"a=1\", \"b=11\"]],\n                [[\"a=2\", \"b=10\"]],\n                [[\"a=2\", \"b=11\"]],\n            ],\n            id=\"batches_of_1\",\n        ),\n        param(\n            [\"a=1,2\", \"b=10,11\"],\n            2,\n            [[[\"a=1\", \"b=10\"], [\"a=1\", \"b=11\"]], [[\"a=2\", \"b=10\"], [\"a=2\", \"b=11\"]]],\n            id=\"batches_of_2\",\n        ),\n        param([\"a=range(0,3)\"], None, [[[\"a=0\"], [\"a=1\"], [\"a=2\"]]], id=\"range\"),\n        param([\"a=range(3)\"], None, [[[\"a=0\"], [\"a=1\"], [\"a=2\"]]], id=\"range_no_start\"),\n    ],\n)\ndef test_split(\n    args: List[str], max_batch_size: Optional[int], expected: List[List[List[str]]]\n) -> None:\n    parser = OverridesParser.create()\n    ret = BasicSweeper.split_arguments(\n        parser.parse_overrides(args), max_batch_size=max_batch_size\n    )\n    lret = [list(x) for x in ret]\n    assert lret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_basic_sweeper.py_test_partial_failure_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_basic_sweeper.py_test_partial_failure_", "embedding": null, "metadata": {"file_path": "tests/test_basic_sweeper.py", "file_name": "test_basic_sweeper.py", "file_type": "text/x-python", "category": "test", "start_line": 63, "end_line": 111, "span_ids": ["test_partial_failure"], "tokens": 340}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_partial_failure(\n    tmpdir: Any,\n) -> None:\n    cmd = [\n        sys.executable,\n        \"-Werror\",\n        \"tests/test_apps/app_can_fail/my_app.py\",\n        \"--multirun\",\n        \"+divisor=1,0\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"hydra.hydra_logging.formatters.simple.format='[HYDRA] %(message)s'\",\n    ]\n    out, err = run_process(cmd=cmd, print_error=False, raise_exception=False)\n\n    expected_out = dedent(\n        \"\"\"\\\n        [HYDRA] Launching 2 jobs locally\n        [HYDRA] \\t#0 : +divisor=1\n        val=1.0\n        [HYDRA] \\t#1 : +divisor=0\"\"\"\n    )\n\n    assert_regex_match(\n        from_line=expected_out,\n        to_line=out,\n        from_name=\"Expected output\",\n        to_name=\"Actual output\",\n    )\n\n    expected_err = dedent(\n        \"\"\"\n        Error executing job with overrides: ['+divisor=0']\n        Traceback (most recent call last):\n          File \".*my_app.py\", line 9, in my_app\n            val = 1 / cfg.divisor\n        ZeroDivisionError: division by zero\n\n        Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.\n        \"\"\"\n    )\n\n    assert_regex_match(\n        from_line=expected_err,\n        to_line=err,\n        from_name=\"Expected error\",\n        to_name=\"Actual error\",\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_is_zsh_supported_is_zsh_supported.if_version_parse_zsh_vers.else_.return.False": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_is_zsh_supported_is_zsh_supported.if_version_parse_zsh_vers.else_.return.False", "embedding": null, "metadata": {"file_path": "tests/test_completion.py", "file_name": "test_completion.py", "file_type": "text/x-python", "category": "test", "start_line": 48, "end_line": 65, "span_ids": ["is_zsh_supported"], "tokens": 135}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def is_zsh_supported() -> bool:\n    if shutil.which(\"zsh\") is None:\n        return False\n\n    proc = subprocess.run(\n        [\"zsh\", \"--version\"], stdout=subprocess.PIPE, encoding=\"utf-8\"\n    )\n    matches = re.match(r\"zsh\\s+(\\d\\.\\d(\\.\\d)?)\", proc.stdout)\n    if not matches:\n        return False\n\n    zsh_version = matches.groups()[0]\n\n    # Support for Bash completion functions introduced in Zsh 4.2\n    if version.parse(zsh_version) > version.parse(\"4.2\"):\n        return True\n    else:\n        return False", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_TestRunCompletion.test_shell_integration.assert_os_path_realpath_r_TestRunCompletion.test_shell_integration.subprocess_check_call_cmd": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_TestRunCompletion.test_shell_integration.assert_os_path_realpath_r_TestRunCompletion.test_shell_integration.subprocess_check_call_cmd", "embedding": null, "metadata": {"file_path": "tests/test_completion.py", "file_name": "test_completion.py", "file_type": "text/x-python", "category": "test", "start_line": 251, "end_line": 274, "span_ids": ["TestRunCompletion.test_shell_integration"], "tokens": 1290}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"line_prefix\",\n    [param(\"\", id=\"no_prefix\"), param(\"dict.key1=val1 \", id=\"prefix\")],\n)\n@mark.parametrize(\n    \"line,num_tabs,expected\",\n    [\n        (\"\", 2, base_completion_list),\n        (\" \", 2, base_completion_list),\n        (\"dict\", 2, [\"dict.\", \"dict_prefix=\"]),\n        (\"dict.\", 3, [\"dict.key1=\", \"dict.key2=\", \"dict.key3=\"]),\n        (\"dict.key\", 2, [\"dict.key1=\", \"dict.key2=\", \"dict.key3=\"]),\n        (\"dict.key1=\", 2, [\"dict.key1=val1\"]),\n        (\"dict.key3=\", 2, [\"dict.key3=\"]),  # no value because dict.key3 is ???\n        (\"list\", 2, [\"list.\", \"list_prefix=\"]),\n        (\"list.\", 2, [\"list.0=\", \"list.1=\", \"list.2=\"]),\n        (\n            \"hydra/\",\n            3,\n            [\n                \"hydra/env=\",\n                \"hydra/help=\",\n                \"hydra/hydra_help=\",\n                \"hydra/hydra_logging=\",\n                \"hydra/job_logging=\",\n                \"hydra/launcher=\",\n                \"hydra/output=\",\n                \"hydra/sweeper=\",\n            ],\n        ),\n        (\"test_hydra/lau\", 2, [\"test_hydra/launcher=\"]),\n        (\"test_hydra/launcher=\", 2, [\"test_hydra/launcher=fairtask\"]),\n        (\"test_hydra/launcher=fa\", 2, [\"test_hydra/launcher=fairtask\"]),\n        # loading groups\n        param(\"gro\", 2, [\"group=\"], id=\"group\"),\n        param(\"group=di\", 2, [\"group=dict\"], id=\"group\"),\n        param(\n            \"group=dict \",\n            3,\n            [\n                \"dict.\",\n                \"dict_prefix=\",\n                \"group.\",\n                \"group=\",\n                \"hydra\",\n                \"hydra.\",\n                \"list.\",\n                \"list_prefix=\",\n                \"test_hydra/\",\n                \"toys.\",\n            ],\n            id=\"group\",\n        ),\n        param(\"group=\", 2, [\"group=dict\", \"group=list\"], id=\"group\"),\n        param(\"group=dict group.dict=\", 2, [\"group.dict=true\"], id=\"group\"),\n        param(\"group=dict group=\", 2, [\"group=dict\", \"group=list\"], id=\"group\"),\n        param(\"group=dict group=\", 2, [\"group=dict\", \"group=list\"], id=\"group\"),\n        param(\"+\", 2, [\"+group=\", \"+hydra\", \"+test_hydra/\"], id=\"bare_plus\"),\n        param(\"+gro\", 2, [\"+group=\"], id=\"append_group_partial\"),\n        param(\"+group=di\", 2, [\"+group=dict\"], id=\"append_group_partial_option\"),\n        param(\"+group=\", 2, [\"+group=dict\", \"+group=list\"], id=\"group_append\"),\n        param(\n            \"group=dict +group=\", 2, [\"+group=dict\", \"+group=list\"], id=\"group_append2\"\n        ),\n        param(\"~gro\", 2, [\"~group\"], id=\"delete_group_partial\"),\n        param(\"~group=di\", 2, [\"~group=dict\"], id=\"delete_group_partial_option\"),\n        param(\"~group=\", 2, [\"~group=dict\", \"~group=list\"], id=\"group_delete\"),\n        param(\n            \"group=dict ~group=\", 2, [\"~group=dict\", \"~group=list\"], id=\"group_delete2\"\n        ),\n        param(\"~\", 2, [\"~group\", \"~hydra\", \"~test_hydra/\"], id=\"bare_tilde\"),\n        param(\"+test_hydra/lau\", 2, [\"+test_hydra/launcher=\"], id=\"nested_plus\"),\n        param(\n            \"+test_hydra/launcher=\",\n            2,\n            [\"+test_hydra/launcher=fairtask\"],\n            id=\"nested_plus_equal\",\n        ),\n        param(\n            \"+test_hydra/launcher=fa\",\n            2,\n            [\"+test_hydra/launcher=fairtask\"],\n            id=\"nested_plus_equal_partial\",\n        ),\n        param(\"~test_hydra/lau\", 2, [\"~test_hydra/launcher\"], id=\"nested_tilde\"),\n        param(\n            \"~test_hydra/launcher=\",\n            2,\n            [\"~test_hydra/launcher=fairtask\"],\n            id=\"nested_tilde_equal\",\n        ),\n        param(\n            \"~test_hydra/launcher=fa\",\n            2,\n            [\"~test_hydra/launcher=fairtask\"],\n            id=\"nested_tilde_equal_partial\",\n        ),\n    ],\n)\nclass TestRunCompletion:\n\n    @mark.skipif(\n        not is_expect_exists(),\n        reason=\"expect should be installed to run the expects tests\",\n    )\n    @mark.parametrize(\"prog\", [[\"python\", \"hydra/test_utils/completion.py\"]])\n    @mark.parametrize(\n        \"shell\",\n        [\"bash\", \"fish\", \"zsh\"],\n    )\n    def test_shell_integration(\n        self,\n        shell: str,\n        prog: List[str],\n        num_tabs: int,\n        line_prefix: str,\n        line: str,\n        expected: List[str],\n    ) -> None:\n        # ... other code\n        assert os.path.realpath(ret.decode(\"utf-8\").strip()) == os.path.realpath(\n            sys.executable.strip()\n        )\n\n        verbose = os.environ.get(\"VERBOSE\", \"0\") != \"0\"\n\n        cmd = [\"expect\"]\n        if verbose:\n            cmd.append(\"-d\")\n\n        cmd.extend(\n            [\n                f\"tests/scripts/test_{shell}_completion.exp\",\n                f\"{' '.join(prog)}\",\n                f\"line={line_prefix + line}\",\n                str(num_tabs),\n            ]\n        )\n\n        cmd.extend(expected)\n        if verbose:\n            print(\"\\nCOMMAND:\\n\" + \" \".join([f\"'{x}'\" for x in cmd]))\n\n        subprocess.check_call(cmd)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_TestMultirunCompletion_TestMultirunCompletion.test_completion_plugin_multirun.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_TestMultirunCompletion_TestMultirunCompletion.test_completion_plugin_multirun.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_completion.py", "file_name": "test_completion.py", "file_type": "text/x-python", "category": "test", "start_line": 233, "end_line": 265, "span_ids": ["TestMultirunCompletion.test_completion_plugin_multirun", "TestMultirunCompletion"], "tokens": 381}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"line,expected\",\n    [\n        param(\"\", base_completion_list, id=\"empty_multirun\"),\n        param(\"gro\", [\"group=\"], id=\"group_name\"),\n        param(\"group\", [\"group=\"], id=\"group_eq\"),\n        param(\"group=\", [\"group=dict\", \"group=list\"], id=\"group_options\"),\n        param(\"group=dic\", [\"group=dict\"], id=\"group_option\"),\n        param(\"group=dict\", [\"group=dict\"], id=\"group_option\"),\n        param(\"group=dict,list\", [], id=\"multirun\"),\n        param(\n            \"group=dict dict.\",\n            [\"dict.key1=\", \"dict.key2=\", \"dict.key3=\"],\n            id=\"complete_node_from_group\",\n        ),\n        param(\n            \"group=dict,list list.\", [\"list.0=\", \"list.1=\", \"list.2=\"], id=\"multirun\"\n        ),\n        # Not currently supported.\n        # This will actually take using the OverrideParser in some kind of partial parsing mode\n        # because during typing there will be many overrides that are malformed.\n        # Concretely group=dict, is not a valid override.\n        # We can't just naively split on , because of things like: key=[1,2],[3,4]\n        # Supporting this is likely a significant effort to extend the grammar to parse partial overrides\n        param(\"group=dict,\", [\"group=dict,list\"], id=\"multirun\", marks=mark.xfail),\n    ],\n)\nclass TestMultirunCompletion:\n    def test_completion_plugin_multirun(self, line: str, expected: List[str]) -> None:\n        config_loader = create_config_loader()\n        bc = DefaultCompletionPlugin(config_loader)\n        ret = bc._query(config_name=\"config.yaml\", line=\"--multirun \" + line)\n        assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_test_with_flags_test_missing_default_value.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_test_with_flags_test_missing_default_value.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_completion.py", "file_name": "test_completion.py", "file_type": "text/x-python", "category": "test", "start_line": 268, "end_line": 300, "span_ids": ["test_with_flags", "test_missing_default_value"], "tokens": 263}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"line,expected\",\n    [\n        (\"-c job\", base_completion_list),\n        (\"-c hydra \", base_completion_list),\n        (\"-c all \", base_completion_list),\n    ],\n)\ndef test_with_flags(line: str, expected: List[str]) -> None:\n    config_loader = create_config_loader()\n    bc = DefaultCompletionPlugin(config_loader)\n    ret = bc._query(config_name=\"config.yaml\", line=line)\n    assert ret == expected\n\n\n@mark.parametrize(\n    \"line,expected\",\n    [\n        (\"\", [\"group=\", \"hydra\", \"test_hydra/\"]),\n        (\"group=\", [\"group=dict\", \"group=list\"]),\n        (\"group=d\", [\"group=dict\"]),\n        (\n            \"group=dict \",\n            [\"group.\", \"group=\", \"hydra\", \"hydra.\", \"test_hydra/\", \"toys.\"],\n        ),\n        (\"group=dict toys.\", [\"toys.andy=\", \"toys.list.\", \"toys.slinky=\"]),\n    ],\n)\ndef test_missing_default_value(line: str, expected: List[str]) -> None:\n    config_loader = create_config_loader()\n    bc = DefaultCompletionPlugin(config_loader)\n    ret = bc._query(config_name=\"missing_default\", line=line)\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_missing_init_py_error_test_missing_init_py_error.with_raises_Exception_ma.with_initialize_config_mo.compose_config_name_test": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_missing_init_py_error_test_missing_init_py_error.with_raises_Exception_ma.with_initialize_config_mo.compose_config_name_test", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 348, "end_line": 361, "span_ids": ["test_missing_init_py_error"], "tokens": 130}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_missing_init_py_error(hydra_restore_singletons: Any) -> None:\n    expected = (\n        \"Primary config module 'hydra.test_utils.configs.missing_init_py' not found.\"\n        \"\\nCheck that it's correct and contains an __init__.py file\"\n    )\n\n    with raises(Exception, match=re.escape(expected)):\n        with initialize_config_module(\n            config_module=\"hydra.test_utils.configs.missing_init_py\",\n            version_base=None,\n        ):\n            hydra = GlobalHydra.instance().hydra\n            assert hydra is not None\n            compose(config_name=\"test.yaml\", overrides=[])", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_missing_bad_config_dir_error_test_missing_bad_config_dir_error.with_raises_Exception_ma.with_initialize_config_di.compose_config_name_test": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_missing_bad_config_dir_error_test_missing_bad_config_dir_error.with_raises_Exception_ma.with_initialize_config_di.compose_config_name_test", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 364, "end_line": 377, "span_ids": ["test_missing_bad_config_dir_error"], "tokens": 126}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_missing_bad_config_dir_error(hydra_restore_singletons: Any) -> None:\n    expected = (\n        \"Primary config directory not found.\"\n        \"\\nCheck that the config directory '/no_way_in_hell_1234567890' exists and readable\"\n    )\n\n    with raises(Exception, match=re.escape(expected)):\n        with initialize_config_dir(\n            config_dir=\"/no_way_in_hell_1234567890\",\n            version_base=None,\n        ):\n            hydra = GlobalHydra.instance().hydra\n            assert hydra is not None\n            compose(config_name=\"test.yaml\", overrides=[])", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_initialize_with_module_test_initialization_root_module.None_2": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_initialize_with_module_test_initialization_root_module.None_2", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 380, "end_line": 404, "span_ids": ["test_initialization_root_module", "test_initialize_with_module", "test_hydra_main_passthrough"], "tokens": 246}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_initialize_with_module(hydra_restore_singletons: Any) -> None:\n    with initialize_config_module(\n        config_module=\"tests.test_apps.app_with_cfg_groups.conf\",\n        job_name=\"my_pp\",\n        version_base=None,\n    ):\n        assert compose(config_name=\"config\") == {\n            \"optimizer\": {\"type\": \"nesterov\", \"lr\": 0.001}\n        }\n\n\ndef test_hydra_main_passthrough(hydra_restore_singletons: Any) -> None:\n    with initialize(\n        version_base=None, config_path=\"test_apps/app_with_cfg_groups/conf\"\n    ):\n        from tests.test_apps.app_with_cfg_groups.my_app import my_app  # type: ignore\n\n        cfg = compose(config_name=\"config\", overrides=[\"optimizer.lr=1.0\"])\n        assert my_app(cfg) == {\"optimizer\": {\"type\": \"nesterov\", \"lr\": 1.0}}\n\n\ndef test_initialization_root_module(monkeypatch: Any) -> None:\n    monkeypatch.chdir(\"tests/test_apps/init_in_app_without_module\")\n    subprocess.check_call([sys.executable, \"main.py\"])\n    subprocess.check_call([sys.executable, \"-m\", \"main\"])", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_adding_to_sc_dict_test_hydra_node_validated.with_raises_ConfigComposi.compose_overrides_overri": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_adding_to_sc_dict_test_hydra_node_validated.with_raises_ConfigComposi.compose_overrides_overri", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 317, "end_line": 345, "span_ids": ["test_adding_to_sc_dict", "test_hydra_node_validated"], "tokens": 244}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"initialize_hydra_no_path\")\n@mark.parametrize(\n    (\"overrides\", \"expected\"),\n    [\n        param([\"+map.foo=bar\"], {\"map\": {\"foo\": \"bar\"}}, id=\"add_with_plus\"),\n        param([\"map.foo=bar\"], raises(ConfigCompositionException), id=\"add_no_plus\"),\n    ],\n)\ndef test_adding_to_sc_dict(\n    hydra_restore_singletons: Any, overrides: List[str], expected: Any\n) -> None:\n    @dataclass\n    class Config:\n        map: Dict[str, str] = field(default_factory=dict)\n\n    ConfigStore.instance().store(name=\"config\", node=Config)\n\n    if isinstance(expected, dict):\n        cfg = compose(config_name=\"config\", overrides=overrides)\n        assert cfg == expected\n    else:\n        with expected:\n            compose(config_name=\"config\", overrides=overrides)\n\n\n@mark.parametrize(\"override\", [\"hydra.foo=bar\", \"hydra.job_logging.foo=bar\"])\ndef test_hydra_node_validated(initialize_hydra_no_path: Any, override: str) -> None:\n    with raises(ConfigCompositionException):\n        compose(overrides=[override])", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_TestAdd_TestAdd.test_force_add.assert_cfg_key_0_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_TestAdd_TestAdd.test_force_add.assert_cfg_key_0_", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 348, "end_line": 368, "span_ids": ["TestAdd.test_add", "TestAdd", "TestAdd.test_force_add"], "tokens": 206}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"hydra_restore_singletons\")\n@mark.usefixtures(\"initialize_hydra_no_path\")\nclass TestAdd:\n    def test_add(self) -> None:\n        ConfigStore.instance().store(name=\"config\", node={\"key\": 0})\n        with raises(\n            ConfigCompositionException,\n            match=\"Could not append to config. An item is already at 'key'\",\n        ):\n            compose(config_name=\"config\", overrides=[\"+key=value\"])\n\n        cfg = compose(config_name=\"config\", overrides=[\"key=1\"])\n        assert cfg == {\"key\": 1}\n\n    def test_force_add(self) -> None:\n        ConfigStore.instance().store(name=\"config\", node={\"key\": 0})\n        cfg = compose(config_name=\"config\", overrides=[\"++key=1\"])\n        assert cfg == {\"key\": 1}\n\n        cfg = compose(config_name=\"config\", overrides=[\"++key2=1\"])\n        assert cfg == {\"key\": 0, \"key2\": 1}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_TestAdd.test_add_config_group_TestAdd.test_add_config_group.with_raises_.compose_overrides_gro": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_TestAdd.test_add_config_group_TestAdd.test_add_config_group.with_raises_.compose_overrides_gro", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 370, "end_line": 388, "span_ids": ["TestAdd.test_add_config_group"], "tokens": 194}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"hydra_restore_singletons\")\n@mark.usefixtures(\"initialize_hydra_no_path\")\nclass TestAdd:\n\n    def test_add_config_group(self) -> None:\n        ConfigStore.instance().store(group=\"group\", name=\"a0\", node={\"key\": 0})\n        ConfigStore.instance().store(group=\"group\", name=\"a1\", node={\"key\": 1})\n        # overriding non existing group throws\n        with raises(ConfigCompositionException):\n            compose(overrides=[\"group=a0\"])\n\n        # appending a new group\n        cfg = compose(overrides=[\"+group=a0\"])\n        assert cfg == {\"group\": {\"key\": 0}}\n\n        # force adding is not supported for config groups.\n        with raises(\n            ConfigCompositionException,\n            match=re.escape(\n                \"force-add of config groups is not supported: '++group=a1'\"\n            ),\n        ):\n            compose(overrides=[\"++group=a1\"])", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_TestAdd.test_add_to_structured_config_TestAdd.test_add_to_structured_config.None_2": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_TestAdd.test_add_to_structured_config_TestAdd.test_add_to_structured_config.None_2", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 390, "end_line": 407, "span_ids": ["TestAdd.test_add_to_structured_config"], "tokens": 196}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"hydra_restore_singletons\")\n@mark.usefixtures(\"initialize_hydra_no_path\")\nclass TestAdd:\n\n    def test_add_to_structured_config(self, hydra_restore_singletons: Any) -> None:\n        @dataclass\n        class Config:\n            a: int = 10\n\n        ConfigStore.instance().store(name=\"config\", node=Config, package=\"nested\")\n\n        assert compose(\"config\", overrides=[\"+nested.b=20\"]) == {\n            \"nested\": {\"a\": 10, \"b\": 20}\n        }\n\n        assert compose(\"config\", overrides=[\"++nested.a=30\", \"++nested.b=20\"]) == {\n            \"nested\": {\"a\": 30, \"b\": 20}\n        }\n\n        assert compose(\"config\", overrides=[\"+nested.b.c=20\"]) == {\n            \"nested\": {\"a\": 10, \"b\": {\"c\": 20}}\n        }", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_TestConfigSearchPathOverride_TestConfigSearchPathOverride.init_configs.yield": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_TestConfigSearchPathOverride_TestConfigSearchPathOverride.init_configs.yield", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 410, "end_line": 432, "span_ids": ["TestConfigSearchPathOverride", "TestConfigSearchPathOverride.init_configs"], "tokens": 197}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"hydra_restore_singletons\")\n@mark.usefixtures(\"initialize_hydra_no_path\")\nclass TestConfigSearchPathOverride:\n    @fixture\n    def init_configs(self) -> Any:\n        cs = ConfigStore.instance()\n        cs.store(\n            name=\"with_sp\",\n            node={\"hydra\": {\"searchpath\": [\"pkg://hydra.test_utils.configs\"]}},\n        )\n        cs.store(name=\"without_sp\", node={})\n\n        cs.store(name=\"bad1\", node={\"hydra\": {\"searchpath\": 42}})\n        cs.store(name=\"bad2\", node={\"hydra\": {\"searchpath\": [42]}})\n\n        # Using this triggers an error. Only primary configs are allowed to override hydra.searchpath\n        cs.store(\n            group=\"group2\",\n            name=\"overriding_sp\",\n            node={\"hydra\": {\"searchpath\": [\"abc\"]}},\n            package=\"_global_\",\n        )\n        yield", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_TestConfigSearchPathOverride.test_searchpath_in_primary_config_TestConfigSearchPathOverride.test_searchpath_in_primary_config.assert_cfg_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_TestConfigSearchPathOverride.test_searchpath_in_primary_config_TestConfigSearchPathOverride.test_searchpath_in_primary_config.assert_cfg_expected", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 434, "end_line": 463, "span_ids": ["TestConfigSearchPathOverride.test_searchpath_in_primary_config"], "tokens": 267}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"hydra_restore_singletons\")\n@mark.usefixtures(\"initialize_hydra_no_path\")\nclass TestConfigSearchPathOverride:\n\n    @mark.parametrize(\n        (\"config_name\", \"overrides\", \"expected\"),\n        [\n            # config group is interpreted as simple config value addition.\n            param(\"without_sp\", [\"+group1=file1\"], {\"group1\": \"file1\"}, id=\"without\"),\n            param(\"with_sp\", [\"+group1=file1\"], {\"foo\": 10}, id=\"with\"),\n            # Overriding hydra.searchpath\n            param(\n                \"without_sp\",\n                [\"hydra.searchpath=[pkg://hydra.test_utils.configs]\", \"+group1=file1\"],\n                {\"foo\": 10},\n                id=\"sp_added_by_override\",\n            ),\n            param(\n                \"with_sp\",\n                [\"hydra.searchpath=[]\", \"+group1=file1\"],\n                {\"group1\": \"file1\"},\n                id=\"sp_removed_by_override\",\n            ),\n        ],\n    )\n    def test_searchpath_in_primary_config(\n        self,\n        init_configs: Any,\n        config_name: str,\n        overrides: List[str],\n        expected: Any,\n    ) -> None:\n        cfg = compose(config_name=config_name, overrides=overrides)\n        assert cfg == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_TestConfigSearchPathOverride.test_searchpath_config_errors_TestConfigSearchPathOverride.test_searchpath_invalid.with_warns_.compose_config_name_confi": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_TestConfigSearchPathOverride.test_searchpath_config_errors_TestConfigSearchPathOverride.test_searchpath_invalid.with_warns_.compose_config_name_confi", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 465, "end_line": 548, "span_ids": ["TestConfigSearchPathOverride.test_searchpath_invalid", "TestConfigSearchPathOverride.test_searchpath_config_errors"], "tokens": 510}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"hydra_restore_singletons\")\n@mark.usefixtures(\"initialize_hydra_no_path\")\nclass TestConfigSearchPathOverride:\n\n    @mark.parametrize(\n        (\"config_name\", \"overrides\", \"expected\"),\n        [\n            param(\n                \"bad1\",\n                [],\n                raises(\n                    ConfigCompositionException,\n                    match=re.escape(\n                        \"hydra.searchpath must be a list of strings. Got: 42\"\n                    ),\n                ),\n                id=\"bad_cp_in_config\",\n            ),\n            param(\n                \"bad2\",\n                [],\n                raises(\n                    ConfigCompositionException,\n                    match=re.escape(\n                        \"hydra.searchpath must be a list of strings. Got: [42]\"\n                    ),\n                ),\n                id=\"bad_cp_element_in_config\",\n            ),\n            param(\n                \"without_sp\",\n                [\"hydra.searchpath=42\"],\n                raises(\n                    ConfigCompositionException,\n                    match=re.escape(\n                        \"hydra.searchpath must be a list of strings. Got: 42\"\n                    ),\n                ),\n                id=\"bad_override1\",\n            ),\n            param(\n                \"without_sp\",\n                [\"hydra.searchpath=[42]\"],\n                raises(\n                    ConfigCompositionException,\n                    match=re.escape(\n                        \"hydra.searchpath must be a list of strings. Got: [42]\"\n                    ),\n                ),\n                id=\"bad_override2\",\n            ),\n            param(\n                \"without_sp\",\n                [\"+group2=overriding_sp\"],\n                raises(\n                    ConfigCompositionException,\n                    match=re.escape(\n                        \"In 'group2/overriding_sp': Overriding hydra.searchpath \"\n                        \"is only supported from the primary config\"\n                    ),\n                ),\n                id=\"overriding_sp_from_non_primary_config\",\n            ),\n        ],\n    )\n    def test_searchpath_config_errors(\n        self,\n        init_configs: Any,\n        config_name: str,\n        overrides: List[str],\n        expected: Any,\n    ) -> None:\n        with expected:\n            compose(config_name=config_name, overrides=overrides)\n\n    def test_searchpath_invalid(\n        self,\n        init_configs: Any,\n    ) -> None:\n        config_name = \"without_sp\"\n        override = \"hydra.searchpath=['pkg://fakeconf']\"\n        with warns(\n            expected_warning=UserWarning,\n            match=re.escape(\n                \"provider=hydra.searchpath in command-line, path=fakeconf is not available.\"\n            ),\n        ):\n            compose(config_name=config_name, overrides=[override])", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_re_TopLevelConfig.db.MySQLConfig_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_re_TopLevelConfig.db.MySQLConfig_", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 40, "span_ids": ["MySQLConfig", "TopLevelConfig", "docstring"], "tokens": 249}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import re\nfrom dataclasses import dataclass\nfrom textwrap import dedent\nfrom typing import Any, List\n\nfrom omegaconf import MISSING, OmegaConf, ValidationError, open_dict\nfrom pytest import mark, param, raises, warns\n\nfrom hydra import version\nfrom hydra._internal.config_loader_impl import ConfigLoaderImpl\nfrom hydra._internal.utils import create_config_search_path\nfrom hydra.core.config_store import ConfigStore, ConfigStoreWithProvider\nfrom hydra.core.override_parser.overrides_parser import OverridesParser\nfrom hydra.core.utils import env_override, setup_globals\nfrom hydra.errors import (\n    ConfigCompositionException,\n    HydraException,\n    MissingConfigException,\n)\nfrom hydra.test_utils.test_utils import chdir_hydra_root\nfrom hydra.types import RunMode\nfrom tests.instantiate import UserGroup\n\nchdir_hydra_root()\n\n\n@dataclass\nclass MySQLConfig:\n    driver: str = MISSING\n    host: str = MISSING\n    port: int = MISSING\n    user: str = MISSING\n    password: str = MISSING\n\n\n@dataclass\nclass TopLevelConfig:\n    normal_yaml_config: bool = MISSING\n    db: MySQLConfig = MySQLConfig()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_load_adding_group_not_in_default_TestConfigLoader.test_change_run_dir_with_config.assert_cfg_hydra_run_dir_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_load_adding_group_not_in_default_TestConfigLoader.test_change_run_dir_with_config.assert_cfg_hydra_run_dir_", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 122, "end_line": 155, "span_ids": ["TestConfigLoader.test_change_run_dir_with_config", "TestConfigLoader.test_change_run_dir_with_override", "TestConfigLoader.test_load_adding_group_not_in_default"], "tokens": 320}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"path\",\n    [\n        param(\"file://hydra/test_utils/configs\", id=\"file\"),\n        param(\"pkg://hydra.test_utils.configs\", id=\"pkg\"),\n    ],\n)\nclass TestConfigLoader:\n\n    def test_load_adding_group_not_in_default(self, path: str) -> None:\n        config_loader = ConfigLoaderImpl(\n            config_search_path=create_config_search_path(path)\n        )\n        cfg = config_loader.load_configuration(\n            config_name=\"optional-default.yaml\",\n            overrides=[\"+group2=file1\"],\n            run_mode=RunMode.RUN,\n        )\n        with open_dict(cfg):\n            del cfg[\"hydra\"]\n        assert cfg == {\"foo\": 10, \"bar\": 100}\n\n    def test_change_run_dir_with_override(self, path: str) -> None:\n        config_loader = ConfigLoaderImpl(\n            config_search_path=create_config_search_path(path)\n        )\n        cfg = config_loader.load_configuration(\n            config_name=\"overriding_run_dir.yaml\",\n            overrides=[\"hydra.run.dir=abc\"],\n            run_mode=RunMode.RUN,\n        )\n        assert cfg.hydra.run.dir == \"abc\"\n\n    def test_change_run_dir_with_config(self, path: str) -> None:\n        config_loader = ConfigLoaderImpl(\n            config_search_path=create_config_search_path(path)\n        )\n        cfg = config_loader.load_configuration(\n            config_name=\"overriding_run_dir.yaml\",\n            overrides=[],\n            run_mode=RunMode.RUN,\n        )\n        assert cfg.hydra.run.dir == \"cde\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_load_strict_TestConfigLoader.test_load_strict.with_raises_HydraExceptio.config_loader_load_config": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_load_strict_TestConfigLoader.test_load_strict.with_raises_HydraExceptio.config_loader_load_config", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 157, "end_line": 186, "span_ids": ["TestConfigLoader.test_load_strict"], "tokens": 269}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"path\",\n    [\n        param(\"file://hydra/test_utils/configs\", id=\"file\"),\n        param(\"pkg://hydra.test_utils.configs\", id=\"pkg\"),\n    ],\n)\nclass TestConfigLoader:\n\n    def test_load_strict(self, path: str) -> None:\n        \"\"\"\n        Ensure that in strict mode we can override only things that are already in the config\n        :return:\n        \"\"\"\n        config_loader = ConfigLoaderImpl(\n            config_search_path=create_config_search_path(path)\n        )\n        # Test that overriding existing things works in strict mode\n        cfg = config_loader.load_configuration(\n            config_name=\"compose.yaml\",\n            overrides=[\"foo=ZZZ\"],\n            run_mode=RunMode.RUN,\n        )\n        with open_dict(cfg):\n            del cfg[\"hydra\"]\n        assert cfg == {\"foo\": \"ZZZ\", \"bar\": 100}\n\n        # Test that accessing a key that is not there will fail\n        with raises(AttributeError):\n            # noinspection PyStatementEffect\n            cfg.not_here\n\n        # Test that bad overrides triggers the KeyError\n        with raises(HydraException):\n            config_loader.load_configuration(\n                config_name=\"compose.yaml\",\n                overrides=[\"f00=ZZZ\"],\n                run_mode=RunMode.RUN,\n            )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_load_yml_file_TestConfigLoader.test_load_yml_file.assert_cfg_yml_file_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_load_yml_file_TestConfigLoader.test_load_yml_file.assert_cfg_yml_file_", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 189, "end_line": 207, "span_ids": ["TestConfigLoader.test_load_yml_file"], "tokens": 188}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"path\",\n    [\n        param(\"file://hydra/test_utils/configs\", id=\"file\"),\n        param(\"pkg://hydra.test_utils.configs\", id=\"pkg\"),\n    ],\n)\nclass TestConfigLoader:\n\n    def test_load_yml_file(self, path: str, hydra_restore_singletons: Any) -> None:\n        config_loader = ConfigLoaderImpl(\n            config_search_path=create_config_search_path(path)\n        )\n        version.setbase(\"1.1\")\n        with warns(\n            UserWarning,\n            match=\"Support for .yml files is deprecated. Use .yaml extension for Hydra config files\",\n        ):\n            cfg = config_loader.load_configuration(\n                config_name=\"config.yml\",\n                overrides=[],\n                run_mode=RunMode.RUN,\n            )\n\n        with open_dict(cfg):\n            del cfg[\"hydra\"]\n\n        assert cfg == {\"yml_file_here\": True}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_override_with_equals_TestConfigLoader.test_compose_file_with_dot.assert_cfg_abc_cde_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_override_with_equals_TestConfigLoader.test_compose_file_with_dot.assert_cfg_abc_cde_", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 207, "end_line": 231, "span_ids": ["TestConfigLoader.test_compose_file_with_dot", "TestConfigLoader.test_override_with_equals"], "tokens": 260}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"path\",\n    [\n        param(\"file://hydra/test_utils/configs\", id=\"file\"),\n        param(\"pkg://hydra.test_utils.configs\", id=\"pkg\"),\n    ],\n)\nclass TestConfigLoader:\n\n    def test_override_with_equals(self, path: str) -> None:\n        config_loader = ConfigLoaderImpl(\n            config_search_path=create_config_search_path(path)\n        )\n        cfg = config_loader.load_configuration(\n            config_name=\"config\",\n            overrides=[\"+abc='cde=12'\"],\n            run_mode=RunMode.RUN,\n        )\n        with open_dict(cfg):\n            del cfg[\"hydra\"]\n        assert cfg == OmegaConf.create({\"normal_yaml_config\": True, \"abc\": \"cde=12\"})\n\n    def test_compose_file_with_dot(self, path: str) -> None:\n        config_loader = ConfigLoaderImpl(\n            config_search_path=create_config_search_path(path)\n        )\n        cfg = config_loader.load_configuration(\n            config_name=\"compose.yaml\",\n            overrides=[\"group1=abc.cde\"],\n            run_mode=RunMode.RUN,\n        )\n        with open_dict(cfg):\n            del cfg[\"hydra\"]\n        assert cfg == {\"abc=cde\": None, \"bar\": 100}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_load_config_with_schema_TestConfigLoader.test_load_config_with_schema.with_raises_HydraExceptio.config_loader_load_config": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_load_config_with_schema_TestConfigLoader.test_load_config_with_schema.with_raises_HydraExceptio.config_loader_load_config", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 233, "end_line": 275, "span_ids": ["TestConfigLoader.test_load_config_with_schema"], "tokens": 329}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"path\",\n    [\n        param(\"file://hydra/test_utils/configs\", id=\"file\"),\n        param(\"pkg://hydra.test_utils.configs\", id=\"pkg\"),\n    ],\n)\nclass TestConfigLoader:\n\n    def test_load_config_with_schema(\n        self, hydra_restore_singletons: Any, path: str\n    ) -> None:\n\n        ConfigStore.instance().store(\n            name=\"config_with_schema\", node=TopLevelConfig, provider=\"this_test\"\n        )\n        ConfigStore.instance().store(\n            group=\"db\", name=\"base_mysql\", node=MySQLConfig, provider=\"this_test\"\n        )\n\n        config_loader = ConfigLoaderImpl(\n            config_search_path=create_config_search_path(path)\n        )\n\n        cfg = config_loader.load_configuration(\n            config_name=\"config\",\n            overrides=[\"+db=validated_mysql\"],\n            run_mode=RunMode.RUN,\n        )\n\n        with open_dict(cfg):\n            del cfg[\"hydra\"]\n        assert cfg == {\n            \"normal_yaml_config\": True,\n            \"db\": {\n                \"driver\": \"mysql\",\n                \"host\": \"???\",\n                \"port\": \"???\",\n                \"user\": \"omry\",\n                \"password\": \"secret\",\n            },\n        }\n\n        # verify illegal modification is rejected at runtime\n        with raises(ValidationError):\n            cfg.db.port = \"fail\"\n\n        # verify illegal override is rejected during load\n        with raises(HydraException):\n            config_loader.load_configuration(\n                config_name=\"db/mysql\", overrides=[\"db.port=fail\"], run_mode=RunMode.RUN\n            )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_sweep_config_cache_TestConfigLoader.test_sweep_config_cache.assert_sweep_cfg_test_env": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_sweep_config_cache_TestConfigLoader.test_sweep_config_cache.assert_sweep_cfg_test_env", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 326, "end_line": 361, "span_ids": ["TestConfigLoader.test_sweep_config_cache"], "tokens": 386}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"path\",\n    [\n        param(\"file://hydra/test_utils/configs\", id=\"file\"),\n        param(\"pkg://hydra.test_utils.configs\", id=\"pkg\"),\n    ],\n)\nclass TestConfigLoader:\n\n    def test_sweep_config_cache(\n        self, hydra_restore_singletons: Any, path: str, monkeypatch: Any\n    ) -> None:\n        setup_globals()\n\n        monkeypatch.setenv(\"TEST_ENV\", \"test_env\")\n\n        config_loader = ConfigLoaderImpl(\n            config_search_path=create_config_search_path(path)\n        )\n        master_cfg = config_loader.load_configuration(\n            config_name=\"config.yaml\",\n            overrides=[\"+time=${now:%H-%M-%S}\", \"+test_env=${oc.env:TEST_ENV}\"],\n            run_mode=RunMode.RUN,\n        )\n\n        # trigger resolution by type assertion\n        assert type(master_cfg.time) == str\n        assert type(master_cfg.test_env) == str\n\n        master_cfg_cache = OmegaConf.get_cache(master_cfg)\n        assert \"now\" in master_cfg_cache.keys()\n        # oc.env is not cached as of OmegaConf 2.1\n        assert \"oc.env\" not in master_cfg_cache.keys()\n        assert master_cfg.test_env == \"test_env\"\n\n        sweep_cfg = config_loader.load_sweep_config(\n            master_config=master_cfg,\n            sweep_overrides=[\"+time=${now:%H-%M-%S}\", \"+test_env=${oc.env:TEST_ENV}\"],\n        )\n\n        sweep_cfg_cache = OmegaConf.get_cache(sweep_cfg)\n        assert len(sweep_cfg_cache.keys()) == 1 and \"now\" in sweep_cfg_cache.keys()\n        assert sweep_cfg_cache[\"now\"] == master_cfg_cache[\"now\"]\n        monkeypatch.setenv(\"TEST_ENV\", \"test_env2\")\n        assert sweep_cfg.test_env == \"test_env2\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_test_load_schema_as_config_test_load_schema_as_config.assert_cfg_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_test_load_schema_as_config_test_load_schema_as_config.assert_cfg_", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 416, "end_line": 444, "span_ids": ["test_load_schema_as_config"], "tokens": 187}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_load_schema_as_config(hydra_restore_singletons: Any) -> None:\n    \"\"\"\n    Load structured config as a configuration\n    \"\"\"\n    ConfigStore.instance().store(\n        name=\"config\", node=TopLevelConfig, provider=\"this_test\"\n    )\n\n    ConfigStore.instance().store(\n        name=\"db/mysql\", node=MySQLConfig, provider=\"this_test\"\n    )\n\n    config_loader = ConfigLoaderImpl(config_search_path=create_config_search_path(None))\n    cfg = config_loader.load_configuration(\n        config_name=\"config\", overrides=[], run_mode=RunMode.RUN\n    )\n\n    with open_dict(cfg):\n        del cfg[\"hydra\"]\n    assert cfg == {\n        \"normal_yaml_config\": \"???\",\n        \"db\": {\n            \"driver\": MISSING,\n            \"host\": MISSING,\n            \"port\": MISSING,\n            \"user\": MISSING,\n            \"password\": MISSING,\n        },\n    }", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_test_overlapping_schemas_test_overlapping_schemas.with_raises_ValidationErr.cfg.plugin.10": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_test_overlapping_schemas_test_overlapping_schemas.with_raises_ValidationErr.cfg.plugin.10", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 475, "end_line": 501, "span_ids": ["test_overlapping_schemas"], "tokens": 250}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_overlapping_schemas(hydra_restore_singletons: Any) -> None:\n\n    cs = ConfigStore.instance()\n    cs.store(name=\"config\", node=Config)\n    cs.store(group=\"plugin\", name=\"concrete\", node=ConcretePlugin)\n\n    config_loader = ConfigLoaderImpl(config_search_path=create_config_search_path(None))\n    cfg = config_loader.load_configuration(\n        config_name=\"config\", overrides=[], run_mode=RunMode.RUN\n    )\n    with open_dict(cfg):\n        del cfg[\"hydra\"]\n\n    assert cfg == {\"plugin\": {\"name\": \"???\", \"params\": \"???\"}}\n    assert OmegaConf.get_type(cfg.plugin) == Plugin\n\n    cfg = config_loader.load_configuration(\n        config_name=\"config\", overrides=[\"+plugin=concrete\"], run_mode=RunMode.RUN\n    )\n    with open_dict(cfg):\n        del cfg[\"hydra\"]\n\n    assert cfg == {\"plugin\": {\"name\": \"foobar_plugin\", \"params\": {\"foo\": 10}}}\n    assert OmegaConf.get_type(cfg.plugin) == ConcretePlugin\n    assert OmegaConf.get_type(cfg.plugin.params) == ConcretePlugin.FoobarParams\n    with raises(ValidationError):\n        cfg.plugin = 10", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_test_complex_defaults_test_complex_defaults.assert_cfg_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_test_complex_defaults_test_complex_defaults.assert_cfg_expected", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 527, "end_line": 560, "span_ids": ["test_complex_defaults"], "tokens": 239}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"overrides,expected\",\n    [\n        (\n            [],\n            {\n                \"optimizer\": {\"type\": \"adam\", \"lr\": 0.1, \"beta\": 0.01},\n                \"dataset\": {\"name\": \"imagenet\", \"path\": \"/datasets/imagenet\"},\n                \"adam_imagenet\": True,\n            },\n        ),\n        (\n            [\"optimizer=nesterov\"],\n            {\n                \"optimizer\": {\"type\": \"nesterov\", \"lr\": 0.001},\n                \"dataset\": {\"name\": \"imagenet\", \"path\": \"/datasets/imagenet\"},\n                \"nesterov_imagenet\": True,\n            },\n        ),\n    ],\n)\ndef test_complex_defaults(overrides: Any, expected: Any) -> None:\n    config_loader = ConfigLoaderImpl(\n        config_search_path=create_config_search_path(\n            \"tests/test_apps/sweep_complex_defaults/conf\"\n        )\n    )\n\n    cfg = config_loader.load_configuration(\n        config_name=\"config\", overrides=overrides, run_mode=RunMode.RUN\n    )\n    with open_dict(cfg):\n        del cfg[\"hydra\"]\n    assert cfg == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_test_overriding_with_dict_test_overriding_with_dict.assert_cfg_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_test_overriding_with_dict_test_overriding_with_dict.assert_cfg_expected", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 702, "end_line": 750, "span_ids": ["test_overriding_with_dict"], "tokens": 370}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config,overrides,expected\",\n    [\n        param(\n            \"config\",\n            [],\n            {\"optimizer\": {\"type\": \"nesterov\", \"lr\": 0.001}},\n            id=\"default_choice\",\n        ),\n        param(\n            \"config\",\n            [\"optimizer=adam\"],\n            {\"optimizer\": {\"type\": \"adam\", \"lr\": 0.1, \"beta\": 0.01}},\n            id=\"default_change\",\n        ),\n        param(\n            \"config\",\n            [\"optimizer={type:nesterov2,lr:1}\"],\n            {\"optimizer\": {\"type\": \"nesterov2\", \"lr\": 1}},\n            id=\"dict_merge\",\n        ),\n        param(\n            \"config\",\n            [\"+optimizer={foo:10}\"],\n            {\"optimizer\": {\"type\": \"nesterov\", \"lr\": 0.001, \"foo\": 10}},\n            id=\"dict_merge_append\",\n        ),\n        param(\n            # need to unset optimizer config group first, otherwise they get merged\n            \"missing_default\",\n            [\"~optimizer\", \"+optimizer={type:super,good:true,fast:true}\"],\n            {\"optimizer\": {\"type\": \"super\", \"good\": True, \"fast\": True}},\n            id=\"dict_replace_default\",\n        ),\n    ],\n)\ndef test_overriding_with_dict(config: str, overrides: Any, expected: Any) -> None:\n    config_loader = ConfigLoaderImpl(\n        config_search_path=create_config_search_path(\n            \"tests/test_apps/app_with_cfg_groups/conf\"\n        ),\n    )\n\n    cfg = config_loader.load_configuration(\n        config_name=config, overrides=overrides, run_mode=RunMode.RUN\n    )\n    with open_dict(cfg):\n        del cfg[\"hydra\"]\n    assert cfg == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_test_hydra_choices_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_test_hydra_choices_", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 753, "end_line": 803, "span_ids": ["test_hydra_choices"], "tokens": 356}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"config\", \"overrides\", \"expected_choices\"),\n    [\n        param(\n            \"config\",\n            [],\n            {\n                \"optimizer\": \"nesterov\",\n                \"hydra/env\": \"default\",\n                \"hydra/callbacks\": None,\n                \"hydra/hydra_help\": \"default\",\n                \"hydra/help\": \"default\",\n                \"hydra/output\": \"default\",\n                \"hydra/sweeper\": \"basic\",\n                \"hydra/launcher\": \"basic\",\n                \"hydra/job_logging\": \"default\",\n                \"hydra/hydra_logging\": \"default\",\n            },\n            id=\"test_choices\",\n        ),\n        param(\n            \"config\",\n            [\"optimizer=adam\"],\n            {\n                \"optimizer\": \"adam\",\n                \"hydra/env\": \"default\",\n                \"hydra/callbacks\": None,\n                \"hydra/hydra_help\": \"default\",\n                \"hydra/help\": \"default\",\n                \"hydra/output\": \"default\",\n                \"hydra/sweeper\": \"basic\",\n                \"hydra/launcher\": \"basic\",\n                \"hydra/job_logging\": \"default\",\n                \"hydra/hydra_logging\": \"default\",\n            },\n            id=\"test_choices:override\",\n        ),\n    ],\n)\ndef test_hydra_choices(config: str, overrides: Any, expected_choices: Any) -> None:\n    config_loader = ConfigLoaderImpl(\n        config_search_path=create_config_search_path(\n            \"tests/test_apps/app_with_cfg_groups/conf\"\n        ),\n    )\n\n    cfg = config_loader.load_configuration(\n        config_name=config, overrides=overrides, run_mode=RunMode.RUN\n    )\n    assert cfg.hydra.runtime.choices == expected_choices", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_repository.py_copy_state.copy_deepcopy_Singleton_g": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_repository.py_copy_state.copy_deepcopy_Singleton_g", "embedding": null, "metadata": {"file_path": "tests/test_config_repository.py", "file_name": "test_config_repository.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 29, "span_ids": ["docstring"], "tokens": 238}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import copy\nimport re\nimport sys\nimport zipfile\nfrom typing import Any, List\n\nfrom pytest import mark, param, raises\n\nfrom hydra._internal.config_repository import ConfigRepository\nfrom hydra._internal.config_search_path_impl import ConfigSearchPathImpl\nfrom hydra._internal.core_plugins.file_config_source import FileConfigSource\nfrom hydra._internal.core_plugins.importlib_resources_config_source import (\n    ImportlibResourcesConfigSource,\n)\nfrom hydra._internal.core_plugins.structured_config_source import StructuredConfigSource\nfrom hydra.core.default_element import GroupDefault, InputDefault\nfrom hydra.core.plugins import Plugins\nfrom hydra.core.singleton import Singleton\nfrom hydra.plugins.config_source import ConfigSource\nfrom hydra.test_utils.config_source_common_tests import ConfigSourceTestSuite\nfrom hydra.test_utils.test_utils import chdir_hydra_root\n\nchdir_hydra_root()\n\n\n# Manually save and restore singletons to work around an issue with things added to the config store via importing.\n# restoring is done in test_restore_singleton_state_hack(), which must be the last test in this file.\nstate = copy.deepcopy(Singleton.get_state())", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_repository.py_TestConfigRepository.test_config_repository_list_TestConfigRepository.test_config_repository_list.assert_ret_defaults_list_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_repository.py_TestConfigRepository.test_config_repository_list_TestConfigRepository.test_config_repository_list.assert_ret_defaults_list_", "embedding": null, "metadata": {"file_path": "tests/test_config_repository.py", "file_name": "test_config_repository.py", "file_type": "text/x-python", "category": "test", "start_line": 90, "end_line": 132, "span_ids": ["TestConfigRepository.test_config_repository_list"], "tokens": 315}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"path\",\n    [\n        \"file://tests/test_apps/config_source_test/dir\",\n        \"pkg://tests.test_apps.config_source_test.dir\",\n    ],\n)\nclass TestConfigRepository:\n\n    @mark.parametrize(\n        \"config_path,expected\",\n        [\n            param(\n                \"primary_config\",\n                [],\n                id=\"no_defaults\",\n            ),\n            param(\n                \"config_with_defaults_list\",\n                [GroupDefault(group=\"dataset\", value=\"imagenet\")],\n                id=\"defaults_in_root\",\n            ),\n            param(\n                \"configs_with_defaults_list/global_package\",\n                [GroupDefault(group=\"foo\", value=\"bar\")],\n                id=\"configs_with_defaults_list/global_package\",\n            ),\n            param(\n                \"configs_with_defaults_list/group_package\",\n                [GroupDefault(group=\"foo\", value=\"bar\")],\n                id=\"configs_with_defaults_list/group_package\",\n            ),\n            param(\n                \"configs_with_defaults_list/no_package\",\n                [GroupDefault(group=\"foo\", value=\"bar\")],\n                id=\"configs_with_defaults_list/no_package\",\n            ),\n        ],\n    )\n    def test_config_repository_list(\n        self,\n        hydra_restore_singletons: Any,\n        path: str,\n        config_path: str,\n        expected: List[InputDefault],\n    ) -> None:\n        Plugins.instance()\n        config_search_path = create_config_search_path(path)\n        repo = ConfigRepository(config_search_path=config_search_path)\n        ret = repo.load_config(config_path)\n        assert ret is not None\n        assert ret.defaults_list == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_repository.py_test_get_config_header_test_get_config_header.if_isinstance_expected_d.else_.with_expected_.ConfigSource__get_header_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_repository.py_test_get_config_header_test_get_config_header.if_isinstance_expected_d.else_.with_expected_.ConfigSource__get_header_", "embedding": null, "metadata": {"file_path": "tests/test_config_repository.py", "file_name": "test_config_repository.py", "file_type": "text/x-python", "category": "test", "start_line": 135, "end_line": 176, "span_ids": ["test_get_config_header"], "tokens": 303}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"sep\", [\" \"])\n@mark.parametrize(\n    \"cfg_text, expected\",\n    [\n        (\"# @package{sep}foo.bar\", {\"package\": \"foo.bar\"}),\n        (\"# @package{sep} foo.bar\", {\"package\": \"foo.bar\"}),\n        (\"# @package {sep}foo.bar\", {\"package\": \"foo.bar\"}),\n        (\"#@package{sep}foo.bar\", {\"package\": \"foo.bar\"}),\n        (\"#@package{sep}foo.bar \", {\"package\": \"foo.bar\"}),\n        (\n            \"#@package{sep}foo.bar bah\",\n            raises(ValueError, match=re.escape(\"Too many components in\")),\n        ),\n        (\n            \"#@package\",\n            raises(\n                ValueError, match=re.escape(\"Expected header format: KEY VALUE, got\")\n            ),\n        ),\n        (\n            \"\"\"# @package{sep}foo.bar\nfoo: bar\n# comment dsa\n\"\"\",\n            {\"package\": \"foo.bar\"},\n        ),\n        (\n            \"\"\"\n# @package{sep}foo.bar\n\"\"\",\n            {\"package\": \"foo.bar\"},\n        ),\n    ],\n)\ndef test_get_config_header(cfg_text: str, expected: Any, sep: str) -> None:\n    cfg_text = cfg_text.format(sep=sep)\n    if isinstance(expected, dict):\n        header = ConfigSource._get_header_dict(cfg_text)\n        assert header == expected\n    else:\n        with expected:\n            ConfigSource._get_header_dict(cfg_text)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_repository.py_test_singleton_get_state_test_restore_singleton_state_hack.Singleton_set_state_state": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_repository.py_test_singleton_get_state_test_restore_singleton_state_hack.Singleton_set_state_state", "embedding": null, "metadata": {"file_path": "tests/test_config_repository.py", "file_name": "test_config_repository.py", "file_type": "text/x-python", "category": "test", "start_line": 179, "end_line": 198, "span_ids": ["test_restore_singleton_state_hack", "test_singleton_get_state"], "tokens": 195}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_singleton_get_state(hydra_restore_singletons: Any) -> None:\n    s = Singleton.get_state()\n    assert Plugins not in s[\"instances\"]\n    assert Plugins in Singleton._instances\n    Singleton.set_state(s)\n    assert Plugins in Singleton._instances\n\n\ndef test_restore_singleton_state_hack() -> None:\n    \"\"\"\n    This is a hack that allow us to undo changes to the ConfigStore.\n    During this test, the config store is being modified in Python imports.\n    Python imports can only run once, so clearing the state during the tests will break\n    The tests because it will not be reinitialized.\n\n    A solution is to undo the changes after the last test.\n    The reason this logic is in a test is that if it's outside it's being executed during\n    Pytest's test collection phase, which is before the tests are dunning - so it does not solve the problem.\n    \"\"\"\n    Singleton.set_state(state)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_repository.py_test_importlib_resource_load_zip_path_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_repository.py_test_importlib_resource_load_zip_path_", "embedding": null, "metadata": {"file_path": "tests/test_config_repository.py", "file_name": "test_config_repository.py", "file_type": "text/x-python", "category": "test", "start_line": 201, "end_line": 212, "span_ids": ["test_importlib_resource_load_zip_path"], "tokens": 123}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.skipif(sys.version_info[0:2] < (3, 8), reason=\"zip.Path available in python 3.8+\")\ndef test_importlib_resource_load_zip_path() -> None:\n    config_source = ImportlibResourcesConfigSource(provider=\"foo\", path=\"pkg://bar\")\n    conf = config_source._read_config(\n        zipfile.Path(  # type: ignore\n            \"hydra/test_utils/configs/conf.zip\",\n            \"config.yaml\",\n        )\n    )\n    assert conf.config == {\"foo\": \"bar\"}\n    assert conf.header == {\"package\": None}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_env_defaults.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_env_defaults.py__", "embedding": null, "metadata": {"file_path": "tests/test_env_defaults.py", "file_name": "test_env_defaults.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 17, "span_ids": ["test_env_defaults", "docstring"], "tokens": 104}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom pathlib import Path\n\nfrom hydra.test_utils.test_utils import chdir_hydra_root, run_python_script\n\nchdir_hydra_root()\n\n\ndef test_env_defaults(tmpdir: Path) -> None:\n\n    cmd = [\n        \"tests/test_apps/custom_env_defaults/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    run_python_script(cmd)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_advanced_config_search_path.py_re_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_advanced_config_search_path.py_re_", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_advanced_config_search_path.py", "file_name": "test_advanced_config_search_path.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 49, "span_ids": ["test_config_search_path", "docstring"], "tokens": 313}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import re\nfrom pathlib import Path\nfrom typing import List, Optional\n\nfrom omegaconf import OmegaConf\nfrom pytest import mark\n\nfrom hydra.test_utils.test_utils import (\n    chdir_hydra_root,\n    run_python_script,\n    run_with_error,\n)\n\nchdir_hydra_root()\n\n\n@mark.parametrize(\n    \"args,expected, error\",\n    [\n        ([], {\"dataset\": {\"name\": \"cifar10\", \"path\": \"/datasets/cifar10\"}}, None),\n        (\n            [\"dataset=imagenet\"],\n            {\"dataset\": {\"name\": \"imagenet\", \"path\": \"/datasets/imagenet\"}},\n            None,\n        ),\n        (\n            [\"hydra.searchpath=[]\", \"dataset=imagenet\"],\n            {\"dataset\": {\"name\": \"imagenet\", \"path\": \"/datasets/imagenet\"}},\n            \"Could not find 'dataset/imagenet'\",\n        ),\n    ],\n)\ndef test_config_search_path(\n    args: List[str], expected: str, tmpdir: Path, error: Optional[str]\n) -> None:\n    cmd = [\n        \"examples/advanced/config_search_path/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    cmd.extend(args)\n    if error is not None:\n        ret = run_with_error(cmd)\n        assert re.search(re.escape(error), ret) is not None\n    else:\n        result, _err = run_python_script(cmd)\n        assert OmegaConf.create(result) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_advanced_package_overrides.py_test_advanced_package_override_two_packages_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_advanced_package_overrides.py_test_advanced_package_override_two_packages_", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_advanced_package_overrides.py", "file_name": "test_advanced_package_overrides.py", "file_type": "text/x-python", "category": "test", "start_line": 23, "end_line": 34, "span_ids": ["test_advanced_package_override_two_packages"], "tokens": 122}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_advanced_package_override_two_packages(tmpdir: Path) -> None:\n    cmd = [\n        \"examples/advanced/package_overrides/two_packages.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    result, _err = run_python_script(cmd)\n    assert OmegaConf.create(result) == {\n        \"source\": {\"driver\": \"mysql\", \"user\": \"omry\", \"pass\": \"secret\"},\n        \"destination\": {\"driver\": \"mysql\", \"user\": \"omry\", \"pass\": \"secret\"},\n    }", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_configure_hydra.py_test_job_name_no_config_override_test_job_name_with_config_override.assert_result_name_fr": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_configure_hydra.py_test_job_name_no_config_override_test_job_name_with_config_override.assert_result_name_fr", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_configure_hydra.py", "file_name": "test_configure_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 55, "end_line": 72, "span_ids": ["test_job_name_no_config_override", "test_job_name_with_config_override"], "tokens": 157}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_job_name_no_config_override(tmpdir: Path) -> None:\n    cmd = [\n        \"examples/configure_hydra/job_name/no_config_file_override.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    result, _err = run_python_script(cmd)\n    assert result == \"no_config_file_override\"\n\n\ndef test_job_name_with_config_override(tmpdir: Path) -> None:\n    cmd = [\n        \"examples/configure_hydra/job_name/with_config_file_override.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    result, _err = run_python_script(cmd)\n    assert result == \"name_from_config_file\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_configure_hydra.py_test_job_override_dirname_test_job_override_dirname.None_1": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_configure_hydra.py_test_job_override_dirname_test_job_override_dirname.None_1", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_configure_hydra.py", "file_name": "test_configure_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 75, "end_line": 87, "span_ids": ["test_job_override_dirname"], "tokens": 147}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_job_override_dirname(tmpdir: Path) -> None:\n    cmd = [\n        \"examples/configure_hydra/job_override_dirname/my_app.py\",\n        \"hydra.sweep.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"learning_rate=0.1,0.01\",\n        \"batch_size=32\",\n        \"seed=999\",\n        \"-m\",\n    ]\n    run_python_script(cmd)\n    assert Path(tmpdir / \"batch_size=32,learning_rate=0.01/seed=999/\").is_dir()\n    assert Path(tmpdir / \"batch_size=32,learning_rate=0.1/seed=999/\").is_dir()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_configure_hydra.py_test_logging_test_disabling_logging.assert_result_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_configure_hydra.py_test_logging_test_disabling_logging.assert_result_", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_configure_hydra.py", "file_name": "test_configure_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 90, "end_line": 109, "span_ids": ["test_logging", "test_disabling_logging"], "tokens": 161}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_logging(tmpdir: Path) -> None:\n    cmd = [\n        \"examples/configure_hydra/logging/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    result, _err = run_python_script(cmd)\n    assert result == \"[INFO] - Info level message\"\n\n\ndef test_disabling_logging(tmpdir: Path) -> None:\n    cmd = [\n        \"examples/configure_hydra/logging/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"hydra/job_logging=none\",\n        \"hydra/hydra_logging=none\",\n    ]\n    result, _err = run_python_script(cmd)\n    assert result == \"\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_instantiate_examples.py_from_pathlib_import_Path_test_instantiate_object.assert_result_output": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_instantiate_examples.py_from_pathlib_import_Path_test_instantiate_object.assert_result_output", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_instantiate_examples.py", "file_name": "test_instantiate_examples.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 31, "span_ids": ["test_instantiate_object", "docstring"], "tokens": 172}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pathlib import Path\nfrom textwrap import dedent\nfrom typing import List\n\nfrom pytest import mark, param\n\nfrom hydra.test_utils.test_utils import (\n    assert_text_same,\n    chdir_hydra_root,\n    run_python_script,\n)\n\nchdir_hydra_root()\n\n\n@mark.parametrize(\n    \"overrides,output\",\n    [\n        ([], \"MySQL connecting to localhost\"),\n        ([\"db=postgresql\"], \"PostgreSQL connecting to localhost\"),\n    ],\n)\ndef test_instantiate_object(tmpdir: Path, overrides: List[str], output: str) -> None:\n    cmd = [\n        \"examples/instantiate/object/my_app.py\",\n        f\"hydra.run.dir={tmpdir}\",\n        \"hydra.job.chdir=True\",\n    ] + overrides\n    result, _err = run_python_script(cmd)\n    assert result == output", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_instantiate_examples.py_test_instantiate_object_recursive_test_instantiate_object_recursive.assert_result_output": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_instantiate_examples.py_test_instantiate_object_recursive_test_instantiate_object_recursive.assert_result_output", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_instantiate_examples.py", "file_name": "test_instantiate_examples.py", "file_type": "text/x-python", "category": "test", "start_line": 34, "end_line": 53, "span_ids": ["test_instantiate_object_recursive"], "tokens": 146}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"overrides,output\",\n    [\n        ([], \"Driver : James Bond, 4 wheels\"),\n        (\n            [\"car.wheels=[{_target_:my_app.Wheel,radius:7,width:1}]\"],\n            \"Driver : James Bond, 1 wheels\",\n        ),\n    ],\n)\ndef test_instantiate_object_recursive(\n    tmpdir: Path, overrides: List[str], output: str\n) -> None:\n    cmd = [\n        \"examples/instantiate/object_recursive/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ] + overrides\n    result, _err = run_python_script(cmd)\n    assert result == output", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_instantiate_examples.py_test_instantiate_schema_recursive_test_instantiate_schema_recursive.assert_text_same_result_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_instantiate_examples.py_test_instantiate_schema_recursive_test_instantiate_schema_recursive.assert_text_same_result_", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_instantiate_examples.py", "file_name": "test_instantiate_examples.py", "file_type": "text/x-python", "category": "test", "start_line": 83, "end_line": 109, "span_ids": ["test_instantiate_schema_recursive"], "tokens": 141}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"overrides,expected\",\n    [\n        (\n            [],\n            dedent(\n                \"\"\"\\\n                root(1)\n                  left(20)\n                    right(30)\n                      left(400)\n                      right(300)\n                \"\"\"\n            ),\n        ),\n    ],\n)\ndef test_instantiate_schema_recursive(\n    tmpdir: Path, overrides: List[str], expected: str\n) -> None:\n    cmd = [\n        \"examples/instantiate/schema_recursive/my_app.py\",\n        f\"hydra.run.dir={tmpdir}\",\n        \"hydra.job.chdir=True\",\n    ] + overrides\n    result, _err = run_python_script(cmd)\n    assert_text_same(result, expected)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_instantiate_examples.py_test_instantiate_docs_example_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_instantiate_examples.py_test_instantiate_docs_example_", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_instantiate_examples.py", "file_name": "test_instantiate_examples.py", "file_type": "text/x-python", "category": "test", "start_line": 112, "end_line": 149, "span_ids": ["test_instantiate_docs_example"], "tokens": 289}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"overrides,expected\",\n    [\n        param(\n            [],\n            dedent(\n                \"\"\"\\\n                Optimizer(algo=SGD,lr=0.01)\n                Optimizer(algo=SGD,lr=0.2)\n                Trainer(\n                  optimizer=Optimizer(algo=SGD,lr=0.01),\n                  dataset=Dataset(name=Imagenet, path=/datasets/imagenet)\n                )\n                Trainer(\n                  optimizer=Optimizer(algo=SGD,lr=0.3),\n                  dataset=Dataset(name=cifar10, path=/datasets/cifar10)\n                )\n                Trainer(\n                  optimizer={'_target_': 'my_app.Optimizer', 'algo': 'SGD', 'lr': 0.01},\n                  dataset={'_target_': 'my_app.Dataset', 'name': 'Imagenet', 'path': '/datasets/imagenet'}\n                )\n                \"\"\"\n            ),\n            id=\"default-output\",\n        ),\n    ],\n)\ndef test_instantiate_docs_example(\n    tmpdir: Path, overrides: List[str], expected: str\n) -> None:\n    cmd = [\n        \"examples/instantiate/docs_example/my_app.py\",\n        f\"hydra.run.dir={tmpdir}\",\n        \"hydra.job.chdir=True\",\n    ] + overrides\n    result, _err = run_python_script(cmd)\n    assert_text_same(result, expected)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_patterns.py_from_pathlib_import_Path_test_specializing_config_example.with_hydra_task_runner_.verify_dir_outputs_task_j": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_patterns.py_from_pathlib_import_Path_test_specializing_config_example.with_hydra_task_runner_.verify_dir_outputs_task_j", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_patterns.py", "file_name": "test_patterns.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 36, "span_ids": ["test_specializing_config_example", "docstring"], "tokens": 231}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pathlib import Path\nfrom textwrap import dedent\nfrom typing import Any, List\n\nfrom omegaconf import OmegaConf\nfrom pytest import mark, param\n\nfrom hydra.test_utils.test_utils import (\n    TTaskRunner,\n    assert_text_same,\n    chdir_hydra_root,\n    run_python_script,\n    run_with_error,\n    verify_dir_outputs,\n)\n\nchdir_hydra_root()\n\n\ndef test_specializing_config_example(\n    hydra_restore_singletons: Any, hydra_task_runner: TTaskRunner\n) -> None:\n    with hydra_task_runner(\n        calling_file=\"examples/patterns/specializing_config/example.py\",\n        calling_module=None,\n        config_path=\"conf\",\n        config_name=\"config.yaml\",\n        overrides=[\"dataset=cifar10\"],\n        configure_logging=True,\n    ) as task:\n        assert task.job_ret is not None and task.job_ret.cfg == dict(\n            dataset=dict(name=\"cifar10\", path=\"/datasets/cifar10\"),\n            model=dict(num_layers=5, type=\"alexnet\"),\n        )\n        verify_dir_outputs(task.job_ret, overrides=task.overrides)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_patterns.py_test_write_protect_config_node_test_write_protect_config_node.assert_text_same_from_lin": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_patterns.py_test_write_protect_config_node_test_write_protect_config_node.assert_text_same_from_lin", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_patterns.py", "file_name": "test_patterns.py", "file_type": "text/x-python", "category": "test", "start_line": 39, "end_line": 58, "span_ids": ["test_write_protect_config_node"], "tokens": 147}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_write_protect_config_node(tmpdir: Any) -> None:\n    cmd = [\n        \"examples/patterns/write_protect_config_node/frozen.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"data_bits=10\",\n    ]\n\n    expected = dedent(\n        \"\"\"\\\n        Error merging override data_bits=10\n        Cannot change read-only config container\n            full_key: data_bits\n            object_type=SerialPort\n\n        Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.\n        \"\"\"\n    )\n    err = run_with_error(cmd)\n    assert_text_same(from_line=expected, to_line=err)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_patterns.py_test_extending_configs_test_extending_configs.assert_OmegaConf_create_r": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_patterns.py_test_extending_configs_test_extending_configs.assert_OmegaConf_create_r", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_patterns.py", "file_name": "test_patterns.py", "file_type": "text/x-python", "category": "test", "start_line": 61, "end_line": 86, "span_ids": ["test_extending_configs"], "tokens": 189}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"overrides\",\n    [\n        param([\"db=mysql_extending_from_this_group\"], id=\"from_same_group\"),\n        param([\"db=mysql_extending_from_another_group\"], id=\"from_different_group\"),\n    ],\n)\ndef test_extending_configs(\n    monkeypatch: Any, tmpdir: Path, overrides: List[str]\n) -> None:\n    monkeypatch.chdir(\"examples/patterns/extending_configs\")\n    cmd = [\n        \"my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ] + overrides\n    result, _err = run_python_script(cmd)\n    assert OmegaConf.create(result) == {\n        \"db\": {\n            \"host\": \"localhost\",\n            \"port\": 3307,\n            \"user\": \"omry\",\n            \"password\": \"secret\",\n            \"encoding\": \"utf8\",\n        }\n    }", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_patterns.py_test_configuring_experiments_test_configuring_experiments.assert_OmegaConf_create_r": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_patterns.py_test_configuring_experiments_test_configuring_experiments.assert_OmegaConf_create_r", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_patterns.py", "file_name": "test_patterns.py", "file_type": "text/x-python", "category": "test", "start_line": 89, "end_line": 119, "span_ids": ["test_configuring_experiments"], "tokens": 250}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"overrides\", \"expected\"),\n    [\n        param(\n            [],\n            {\"db\": {\"name\": \"mysql\"}, \"server\": {\"name\": \"apache\", \"port\": 80}},\n            id=\"default\",\n        ),\n        param(\n            [\"+experiment=nglite\"],\n            {\"db\": {\"name\": \"sqlite\"}, \"server\": {\"name\": \"nginx\", \"port\": 8080}},\n            id=\"exp1\",\n        ),\n        param(\n            [\"+experiment=nglite\", \"server=apache\"],\n            {\"db\": {\"name\": \"sqlite\"}, \"server\": {\"name\": \"apache\", \"port\": 8080}},\n            id=\"exp1+override\",\n        ),\n    ],\n)\ndef test_configuring_experiments(\n    monkeypatch: Any, tmpdir: Path, overrides: List[str], expected: Any\n) -> None:\n    monkeypatch.chdir(\"examples/patterns/configuring_experiments\")\n    cmd = [\n        \"my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ] + overrides\n    result, _err = run_python_script(cmd)\n    assert OmegaConf.create(result) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_patterns.py_test_multi_select_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_patterns.py_test_multi_select_", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_patterns.py", "file_name": "test_patterns.py", "file_type": "text/x-python", "category": "test", "start_line": 122, "end_line": 191, "span_ids": ["test_multi_select"], "tokens": 396}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"overrides\", \"expected\"),\n    [\n        param(\n            [],\n            {\n                \"server\": {\n                    \"site\": {\n                        \"fb\": {\"domain\": \"facebook.com\"},\n                        \"google\": {\"domain\": \"google.com\"},\n                    },\n                    \"host\": \"localhost\",\n                    \"port\": 443,\n                }\n            },\n            id=\"default\",\n        ),\n        param(\n            [\"server/site=[amazon,google]\"],\n            {\n                \"server\": {\n                    \"site\": {\n                        \"amazon\": {\"domain\": \"amazon.com\"},\n                        \"google\": {\"domain\": \"google.com\"},\n                    },\n                    \"host\": \"localhost\",\n                    \"port\": 443,\n                }\n            },\n            id=\"default:override\",\n        ),\n        param(\n            [\"server=apache_https\"],\n            {\n                \"server\": {\n                    \"https\": {\n                        \"fb\": {\"domain\": \"facebook.com\"},\n                        \"google\": {\"domain\": \"google.com\"},\n                    },\n                    \"host\": \"localhost\",\n                    \"port\": 443,\n                }\n            },\n            id=\"pkg_override\",\n        ),\n        param(\n            [\"server=apache_https\", \"server/site@server.https=amazon\"],\n            {\n                \"server\": {\n                    \"https\": {\"amazon\": {\"domain\": \"amazon.com\"}},\n                    \"host\": \"localhost\",\n                    \"port\": 443,\n                }\n            },\n            id=\"pkg_override:override\",\n        ),\n    ],\n)\ndef test_multi_select(\n    monkeypatch: Any, tmpdir: Path, overrides: List[str], expected: Any\n) -> None:\n    monkeypatch.chdir(\"examples/patterns/multi-select\")\n    cmd = [\n        \"my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ] + overrides\n    result, _err = run_python_script(cmd)\n    assert OmegaConf.create(result) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_structured_configs_tutorial.py_test_5_structured_config_schema_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_structured_configs_tutorial.py_test_5_structured_config_schema_", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_structured_configs_tutorial.py", "file_name": "test_structured_configs_tutorial.py", "file_type": "text/x-python", "category": "test", "start_line": 163, "end_line": 183, "span_ids": ["test_5_structured_config_schema"], "tokens": 175}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"path\",\n    [\n        \"examples/tutorials/structured_configs/5.1_structured_config_schema_same_config_group/my_app.py\",\n        \"examples/tutorials/structured_configs/5.2_structured_config_schema_different_config_group/my_app.py\",\n    ],\n)\ndef test_5_structured_config_schema(tmpdir: Path, path: str) -> None:\n    cmd = [path, \"hydra.run.dir=\" + str(tmpdir), \"hydra.job.chdir=True\"]\n    result, _err = run_python_script(cmd)\n    assert OmegaConf.create(result) == {\n        \"db\": {\n            \"driver\": \"mysql\",\n            \"host\": \"localhost\",\n            \"password\": \"secret\",\n            \"port\": 3306,\n            \"user\": \"omry\",\n        },\n        \"debug\": True,\n    }", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_missing_conf_dir_test_missing_conf_dir.with_raises_MissingConfig.with_hydra_task_runner_.pass": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_missing_conf_dir_test_missing_conf_dir.with_raises_MissingConfig.with_hydra_task_runner_.pass", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 31, "end_line": 45, "span_ids": ["test_missing_conf_dir"], "tokens": 107}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"calling_file, calling_module\", [(\".\", None), (None, \".\")])\ndef test_missing_conf_dir(\n    hydra_restore_singletons: Any,\n    hydra_task_runner: TTaskRunner,\n    calling_file: str,\n    calling_module: str,\n) -> None:\n    with raises(MissingConfigException):\n        with hydra_task_runner(\n            calling_file=calling_file,\n            calling_module=calling_module,\n            config_path=\"dir_not_found\",\n            config_name=None,\n        ):\n            pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_with_config_path_backward_compatibility_test_app_with_config_path_backward_compatibility.with_raises_ValueError_m.with_task_._will_never_get_here_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_with_config_path_backward_compatibility_test_app_with_config_path_backward_compatibility.with_raises_ValueError_m.with_task_._will_never_get_here_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 176, "end_line": 206, "span_ids": ["test_app_with_config_path_backward_compatibility"], "tokens": 232}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"calling_file, calling_module\",\n    [\n        (\"tests/test_apps/app_with_cfg_groups/my_app.py\", None),\n        (None, \"tests.test_apps.app_with_cfg_groups.my_app\"),\n    ],\n)\ndef test_app_with_config_path_backward_compatibility(\n    hydra_restore_singletons: Any,\n    hydra_task_runner: TTaskRunner,\n    calling_file: str,\n    calling_module: str,\n) -> None:\n    msg = dedent(\n        \"\"\"\\\n    Using config_path to specify the config name is not supported, specify the config name via config_name.\n    See https://hydra.cc/docs/next/upgrades/0.11_to_1.0/config_path_changes\n    \"\"\"\n    )\n\n    # This more is no longer supported in Hydra 1.1\n    with raises(ValueError, match=re.escape(msg)):\n        task = hydra_task_runner(\n            calling_file=calling_file,\n            calling_module=calling_module,\n            config_path=\"conf/config.yaml\",\n            config_name=None,\n            configure_logging=True,\n        )\n        with task:\n            assert False  # will never get here.", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_with_config_groups__override_dataset__wrong_test_app_with_config_groups__override_dataset__wrong._type_ignore": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_with_config_groups__override_dataset__wrong_test_app_with_config_groups__override_dataset__wrong._type_ignore", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 263, "end_line": 285, "span_ids": ["test_app_with_config_groups__override_dataset__wrong"], "tokens": 173}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"calling_file, calling_module\",\n    [\n        (\"tests/test_apps/app_with_cfg_groups/my_app.py\", None),\n        (None, \"tests.test_apps.app_with_cfg_groups.my_app\"),\n    ],\n)\ndef test_app_with_config_groups__override_dataset__wrong(\n    hydra_restore_singletons: Any,\n    hydra_task_runner: TTaskRunner,\n    calling_file: str,\n    calling_module: str,\n) -> None:\n    with raises(MissingConfigException) as ex:\n        with hydra_task_runner(\n            calling_file=calling_file,\n            calling_module=calling_module,\n            config_path=\"conf\",\n            config_name=None,\n            overrides=[\"+optimizer=wrong_name\"],\n        ):\n            pass\n    assert sorted(ex.value.options) == sorted([\"adam\", \"nesterov\"])  # type: ignore", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_run_dir_microseconds_test_run_dir_microseconds.integration_test_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_run_dir_microseconds_test_run_dir_microseconds.integration_test_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 754, "end_line": 769, "span_ids": ["test_run_dir_microseconds"], "tokens": 119}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"task_config\",\n    [\n        ({\"hydra\": {\"run\": {\"dir\": \"${now:%Y%m%d_%H%M%S_%f}\"}}}),\n    ],\n)\ndef test_run_dir_microseconds(tmpdir: Path, task_config: DictConfig) -> None:\n    cfg = OmegaConf.create(task_config)\n    assert isinstance(cfg, DictConfig)\n    integration_test(\n        tmpdir=tmpdir,\n        task_config=cfg,\n        overrides=[],\n        prints=\"str('%f' not in os.getcwd())\",\n        expected_outputs=\"True\",\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_override_with_invalid_group_choice_test_override_with_invalid_group_choice.assert_re_search_msg_str": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_override_with_invalid_group_choice_test_override_with_invalid_group_choice.assert_re_search_msg_str", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 793, "end_line": 835, "span_ids": ["test_override_with_invalid_group_choice"], "tokens": 267}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"override\",\n    [\n        param(\"xyz\", id=\"db=xyz\"),\n        param(\"\", id=\"db=\"),\n    ],\n)\n@mark.parametrize(\n    \"calling_file, calling_module\",\n    [\n        param(\"hydra/test_utils/example_app.py\", None, id=\"file\"),\n        param(None, \"hydra.test_utils.example_app\", id=\"module\"),\n    ],\n)\ndef test_override_with_invalid_group_choice(\n    hydra_restore_singletons: Any,\n    hydra_task_runner: TTaskRunner,\n    calling_file: Optional[str],\n    calling_module: Optional[str],\n    override: str,\n) -> None:\n    msg = dedent(\n        f\"\"\"\\\n    In 'db_conf': Could not find 'db/{override}'\n\n    Available options in 'db':\n    \\tmysql\n    \\tpostgresql\n    \"\"\"\n    )\n\n    with raises(MissingConfigException) as e:\n        with hydra_task_runner(\n            calling_file=calling_file,\n            calling_module=calling_module,\n            config_path=\"configs\",\n            config_name=\"db_conf\",\n            overrides=[f\"db={override}\"],\n        ):\n            pass\n\n    # assert_text_same(from_line=msg, to_line=str(e.value))\n    assert re.search(msg, str(e.value)) is not None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_with_error_exception_sanitized_test_app_with_error_exception_sanitized.assert_regex_match_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_app_with_error_exception_sanitized_test_app_with_error_exception_sanitized.assert_regex_match_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1217, "end_line": 1244, "span_ids": ["test_app_with_error_exception_sanitized"], "tokens": 227}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_app_with_error_exception_sanitized(tmpdir: Any, monkeypatch: Any) -> None:\n    cmd = [\n        \"tests/test_apps/app_with_runtime_config_error/my_app.py\",\n        f\"hydra.sweep.dir={tmpdir}\",\n        \"hydra.job.chdir=True\",\n    ]\n    expected = dedent(\n        \"\"\"\\\n        Error executing job with overrides: []\n        Traceback (most recent call last):\n          File \".*my_app.py\", line 13, in my_app\n            foo(cfg)\n          File \".*my_app.py\", line 8, in foo\n            cfg.foo = \"bar\"  # does not exist in the config\n        omegaconf.errors.ConfigAttributeError: Key 'foo' is not in struct\n            full_key: foo\n            object_type=dict\n\n        Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.\"\"\"\n    )\n\n    ret = run_with_error(cmd)\n    assert_regex_match(\n        from_line=expected,\n        to_line=ret,\n        from_name=\"Expected output\",\n        to_name=\"Actual output\",\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_list_container_test_list_container.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_list_container_test_list_container.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 187, "end_line": 225, "span_ids": ["test_list_container"], "tokens": 325}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value,expected\",\n    [\n        param(\"[]\", [], id=\"list:empty\"),\n        param(\"[1]\", [1], id=\"list:item\"),\n        param(\n            \"['a b']\",\n            [QuotedString(text=\"a b\", quote=Quote.single)],\n            id=\"list:quoted_item\",\n        ),\n        param(\n            \"['[a,b]']\",\n            [QuotedString(text=\"[a,b]\", quote=Quote.single)],\n            id=\"list:quoted_item\",\n        ),\n        param(\"[[a]]\", [[\"a\"]], id=\"list:nested_list\"),\n        param(\"[[[a]]]\", [[[\"a\"]]], id=\"list:double_nested_list\"),\n        param(\"[1,[a]]\", [1, [\"a\"]], id=\"list:simple_and_list_elements\"),\n        param(\n            r\"['a\\\\', 'b\\\\']\",\n            [\n                QuotedString(text=\"a\\\\\", quote=Quote.single),\n                QuotedString(text=\"b\\\\\", quote=Quote.single),\n            ],\n            id=\"list:str_trailing_backslash_single\",\n        ),\n        param(\n            r'[\"a\\\\\", \"b\\\\\"]',\n            [\n                QuotedString(text=\"a\\\\\", quote=Quote.double),\n                QuotedString(text=\"b\\\\\", quote=Quote.double),\n            ],\n            id=\"list:str_trailing_backslash_double\",\n        ),\n    ],\n)\ndef test_list_container(value: str, expected: Any) -> None:\n    ret = parse_rule(value, \"listContainer\")\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_dict_container_test_dict_container.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_dict_container_test_dict_container.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 283, "end_line": 340, "span_ids": ["test_dict_container"], "tokens": 706}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value,expected\",\n    [\n        param(\"{}\", {}, id=\"dict\"),\n        param(\"{a:b}\", {\"a\": \"b\"}, id=\"dict\"),\n        param(\"{a:10}\", {\"a\": 10}, id=\"dict\"),\n        param(\"{a:[a,10]}\", {\"a\": [\"a\", 10]}, id=\"dict\"),\n        param(\"{a:[true,10]}\", {\"a\": [True, 10]}, id=\"dict\"),\n        param(\"{a:10,b:20}\", {\"a\": 10, \"b\": 20}, id=\"dict\"),\n        param(\"{a:10,b:{}}\", {\"a\": 10, \"b\": {}}, id=\"dict\"),\n        param(\"{a:10,b:{c:[1,2]}}\", {\"a\": 10, \"b\": {\"c\": [1, 2]}}, id=\"dict\"),\n        param(\"{null: 1}\", {None: 1}, id=\"dict_null_key\"),\n        param(\"{123: 1, 0: 2, -1: 3}\", {123: 1, 0: 2, -1: 3}, id=\"dict_int_key\"),\n        param(\"{3.14: 0, 1e3: 1}\", {3.14: 0, 1000.0: 1}, id=\"dict_float_key\"),\n        param(\"{true: 1, fAlSe: 0}\", {True: 1, False: 0}, id=\"dict_bool_key\"),\n        param(\n            \"{%s: 1}\" % UNQUOTED_SPECIAL,\n            {UNQUOTED_SPECIAL: 1},\n            id=\"dict_unquoted_char_key\",\n        ),\n        param(\n            \"{\\\\\\\\\\\\(\\\\)\\\\[\\\\]\\\\{\\\\}\\\\:\\\\=\\\\ \\\\\\t\\\\,: 1}\",\n            {\"\\\\()[]{}:= \\t,\": 1},\n            id=\"dict_esc_key\",\n        ),\n        param(\"{white spaces: 1}\", {\"white spaces\": 1}, id=\"dict_ws_key\"),\n        param(\n            \"{a_b: 1, ab 123.5 True: 2, null false: 3, 1: 4, null: 5}\",\n            {\n                \"a_b\": 1,\n                \"ab 123.5 True\": 2,\n                \"null false\": 3,\n                1: 4,\n                None: 5,\n            },\n            id=\"dict_mixed_keys\",\n        ),\n        param(\n            r\"{a: 'a\\\\', b: 'b\\\\'}\",\n            {\n                \"a\": QuotedString(text=\"a\\\\\", quote=Quote.single),\n                \"b\": QuotedString(text=\"b\\\\\", quote=Quote.single),\n            },\n            id=\"dict_str_trailing_backslash_single\",\n        ),\n        param(\n            r'{a: \"a\\\\\", b: \"b\\\\\"}',\n            {\n                \"a\": QuotedString(text=\"a\\\\\", quote=Quote.double),\n                \"b\": QuotedString(text=\"b\\\\\", quote=Quote.double),\n            },\n            id=\"dict_str_trailing_backslash_double\",\n        ),\n    ],\n)\ndef test_dict_container(value: str, expected: Any) -> None:\n    ret = parse_rule(value, \"dictContainer\")\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_deprecated_name_package_test_deprecated_name_package.with_warns_.assert_parse_rule_key__n": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_deprecated_name_package_test_deprecated_name_package.with_warns_.assert_parse_rule_key__n", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 996, "end_line": 1016, "span_ids": ["test_deprecated_name_package"], "tokens": 169}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_deprecated_name_package(hydra_restore_singletons: Any) -> None:\n    msg = (\n        \"In override key@_name_=value: _name_ keyword is deprecated in packages, \"\n        \"see https://hydra.cc/docs/next/upgrades/1.0_to_1.1/changes_to_package_header\"\n    )\n\n    version.setbase(\"1.1\")\n\n    with warns(\n        UserWarning,\n        match=re.escape(msg),\n    ):\n        assert parse_rule(\"key@_name_=value\", \"override\") == Override(\n            type=OverrideType.CHANGE,\n            key_or_group=\"key\",\n            value_type=ValueType.ELEMENT,\n            _value=\"value\",\n            package=\"_name_\",\n            input_line=\"key@_name_=value\",\n            config_loader=None,\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_CastResults_CastResults.error.return.raises_HydraException_ma": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_CastResults_CastResults.error.return.raises_HydraException_ma", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 1405, "end_line": 1438, "span_ids": ["CastResults.error", "CastResults"], "tokens": 191}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass CastResults:\n    int: Union[\n        int,\n        List[Union[int, List[int]]],\n        Dict[str, Any],\n        Sweep,\n        RaisesContext[HydraException],\n    ]\n    float: Union[\n        float,\n        List[Union[float, List[float]]],\n        Dict[str, Any],\n        Sweep,\n        RaisesContext[HydraException],\n    ]\n    bool: Union[\n        bool,\n        List[Union[bool, List[bool]]],\n        Dict[str, Any],\n        Sweep,\n        RaisesContext[HydraException],\n    ]\n    str: Union[\n        str,\n        List[Union[str, List[str]]],\n        Dict[str, Any],\n        Sweep,\n        RaisesContext[HydraException],\n    ]\n\n    @staticmethod\n    def error(msg: builtins.str) -> Any:\n        return raises(HydraException, match=f\"^{re.escape(msg)}\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_sweep_iterators_test_sweep_iterators.assert_actual_sweep_encod": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_sweep_iterators_test_sweep_iterators.assert_actual_sweep_encod", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 1925, "end_line": 1964, "span_ids": ["test_sweep_iterators"], "tokens": 543}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value, expected_sweep_string_list, expected_sweep_encoded_list\",\n    [\n        (\"x=choice(1,2,3)\", [\"1\", \"2\", \"3\"], [1, 2, 3]),\n        (\"x=choice('1', '2', '3')\", [\"1\", \"2\", \"3\"], [\"1\", \"2\", \"3\"]),\n        (\"x=choice('a', 'b')\", [\"a\", \"b\"], [\"a\", \"b\"]),\n        (\n            \"x=choice(True, 'True', False, 'False', 'a', 1, 1.1, 2.0, 3, '1.5', '4')\",\n            [\"True\", \"True\", \"False\", \"False\", \"a\", \"1\", \"1.1\", \"2.0\", \"3\", \"1.5\", \"4\"],\n            [True, \"True\", False, \"False\", \"a\", 1, 1.1, 2.0, 3, \"1.5\", \"4\"],\n        ),\n        (\n            \"x=range(1, 10)\",\n            [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\"],\n            [1, 2, 3, 4, 5, 6, 7, 8, 9],\n        ),\n        (\n            \"x=choice([1,2,3], ['a', 'b'])\",\n            [\"[1,2,3]\", \"['a','b']\"],\n            [\"[1,2,3]\", \"['a','b']\"],\n        ),\n        (\n            \"x=choice([1, 1.1, '2', 'a'], [True, False])\",\n            [\"[1,1.1,'2','a']\", \"[True,False]\"],\n            [\"[1,1.1,'2','a']\", \"[True,False]\"],\n        ),\n    ],\n)\ndef test_sweep_iterators(\n    value: str,\n    expected_sweep_string_list: List[str],\n    expected_sweep_encoded_list: List[Any],\n) -> None:\n    ret = parser.parse_override(value)\n    actual_sweep_string_list = [x for x in ret.sweep_string_iterator()]\n    actual_sweep_encoded_list = [\n        x for x in ret.sweep_iterator(transformer=Transformer.encode)\n    ]\n    assert actual_sweep_string_list == expected_sweep_string_list\n    assert actual_sweep_encoded_list == expected_sweep_encoded_list", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_escape_special_characters_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_escape_special_characters_", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 1967, "end_line": 1988, "span_ids": ["test_escape_special_characters"], "tokens": 220}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"s\", \"expected\"),\n    [\n        param(\"abc\", \"abc\", id=\"no_esc\"),\n        param(\"\\\\\", \"\\\\\\\\\", id=\"esc_backslash\"),\n        param(\"\\\\\\\\\\\\\", \"\\\\\\\\\\\\\\\\\\\\\\\\\", id=\"esc_backslash_x3\"),\n        param(\"()\", \"\\\\(\\\\)\", id=\"esc_parentheses\"),\n        param(\"[]\", \"\\\\[\\\\]\", id=\"esc_brackets\"),\n        param(\"{}\", \"\\\\{\\\\}\", id=\"esc_braces\"),\n        param(\":=,\", \"\\\\:\\\\=\\\\,\", id=\"esc_symbols\"),\n        param(\"  \\t\", \"\\\\ \\\\ \\\\\\t\", id=\"esc_ws\"),\n        param(\n            \"ab\\\\(cd{ef}[gh]): ij,kl\\t\",\n            \"ab\\\\\\\\\\\\(cd\\\\{ef\\\\}\\\\[gh\\\\]\\\\)\\\\:\\\\ ij\\\\,kl\\\\\\t\",\n            id=\"esc_mixed\",\n        ),\n    ],\n)\ndef test_escape_special_characters(s: str, expected: str) -> None:\n    escaped = escape_special_characters(s)\n    assert escaped == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/ci/circleci_pipeline.py_json_chunk.return.iter_lambda_tuple_islice": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/ci/circleci_pipeline.py_json_chunk.return.iter_lambda_tuple_islice", "embedding": null, "metadata": {"file_path": "tools/ci/circleci_pipeline.py", "file_name": "circleci_pipeline.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 26, "span_ids": ["chunk", "docstring"], "tokens": 154}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import json\nimport os\nimport random\nimport re\nfrom itertools import islice\nfrom os.path import dirname\nfrom typing import List\n\nimport requests\n\ngit_repo_pattern = (\n    r\"((git|ssh|http(s)?)|(git@[\\w\\.]+))(:(//)?)([\\w\\.@\\:/\\-~]+)(\\.git)(/)?\"\n)\n\nBASE = dirname(dirname(os.path.abspath(os.path.dirname(__file__))))\n\n# a list of plugins that should be its own test suite\n# could be due to dependency or time to run the test\ntest_alone_plugins = [\"hydra_ray_launcher\"]\n\n\ndef chunk(it, size):\n    it = iter(it)\n    return iter(lambda: tuple(islice(it, size)), ())", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/ci/circleci_pipeline.py_get_available_plugin_get_available_plugin.return.groups_of_plugins": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/ci/circleci_pipeline.py_get_available_plugin_get_available_plugin.return.groups_of_plugins", "embedding": null, "metadata": {"file_path": "tools/ci/circleci_pipeline.py", "file_name": "circleci_pipeline.py", "file_type": "text/x-python", "category": "implementation", "start_line": 29, "end_line": 42, "span_ids": ["get_available_plugin"], "tokens": 122}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def get_available_plugin() -> List[str]:\n    skip = [\".isort.cfg\"]\n    skip.extend(test_alone_plugins)\n\n    ps = [\n        {\"dir_name\": x, \"path\": x}\n        for x in sorted(os.listdir(os.path.join(BASE, \"plugins\")))\n        if x not in skip\n    ]\n    plugins = [p[\"path\"] for p in ps]\n    random.shuffle(plugins)\n    groups_of_plugins = [\",\".join(w) for w in list(chunk(plugins, 4))]\n    groups_of_plugins.extend(test_alone_plugins)\n    return groups_of_plugins", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/configen.py_get_default_flags_get_default_flags.return.def_flags": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/configen.py_get_default_flags_get_default_flags.return.def_flags", "embedding": null, "metadata": {"file_path": "tools/configen/configen/configen.py", "file_name": "configen.py", "file_type": "text/x-python", "category": "implementation", "start_line": 133, "end_line": 155, "span_ids": ["get_default_flags"], "tokens": 124}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def get_default_flags(module: ModuleConf) -> List[Parameter]:\n\n    def_flags: List[Parameter] = []\n\n    if module.default_flags._convert_ is not None:\n        def_flags.append(\n            Parameter(\n                name=\"_convert_\",\n                type_str=\"str\",\n                default=f'\"{module.default_flags._convert_.name}\"',\n            )\n        )\n\n    if module.default_flags._recursive_ is not None:\n        def_flags.append(\n            Parameter(\n                name=\"_recursive_\",\n                type_str=\"bool\",\n                default=str(module.default_flags._recursive_),\n            )\n        )\n\n    return def_flags", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/example/config/configen/samples/my_module.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/example/config/configen/samples/my_module.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "tools/configen/example/config/configen/samples/my_module.py", "file_name": "my_module.py", "file_type": "text/x-python", "category": "implementation", "start_line": 8, "end_line": 25, "span_ids": ["AdminConf", "UserConf", "docstring"], "tokens": 94}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass, field\nfrom omegaconf import MISSING\n\n\n@dataclass\nclass UserConf:\n    _target_: str = \"configen.samples.my_module.User\"\n    age: int = MISSING\n    name: str = MISSING\n\n\n@dataclass\nclass AdminConf:\n    _target_: str = \"configen.samples.my_module.Admin\"\n    private_key: str = MISSING\n    age: int = MISSING\n    name: str = MISSING", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/example/my_app.py_hydra_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/example/my_app.py_hydra_", "embedding": null, "metadata": {"file_path": "tools/configen/example/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 31, "span_ids": ["my_app", "impl:2", "docstring"], "tokens": 164}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import hydra\n\n# Generated config dataclasses\nfrom example.config.configen.samples.my_module import AdminConf, UserConf\nfrom hydra.core.config_store import ConfigStore\nfrom omegaconf import DictConfig\n\n# Underlying objects\nfrom configen.samples.my_module import Admin, User\n\nConfigStore.instance().store(\n    name=\"config_schema\",\n    node={\n        \"user\": UserConf,\n        \"admin\": AdminConf,\n    },\n)\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    user: User = hydra.utils.instantiate(cfg.user)\n    admin: Admin = hydra.utils.instantiate(cfg.admin)\n    print(user)\n    print(admin)\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_generate.py_sys_MODULE_NAME._tests_test_modules_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_generate.py_sys_MODULE_NAME._tests_test_modules_", "embedding": null, "metadata": {"file_path": "tools/configen/tests/test_generate.py", "file_name": "test_generate.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 59, "span_ids": ["docstring"], "tokens": 342}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import sys\nfrom textwrap import dedent\n\nfrom difflib import unified_diff\nfrom pathlib import Path\nfrom typing import Any\n\nfrom pytest import mark, param\n\nfrom hydra.utils import get_class, instantiate, ConvertMode\nfrom omegaconf import OmegaConf\n\nfrom configen.config import ConfigenConf, ModuleConf, Flags\nfrom configen.configen import generate_module\nfrom hydra.test_utils.test_utils import chdir_hydra_root, run_python_script\nfrom tests.test_modules import (\n    User,\n    Color,\n    Empty,\n    UntypedArg,\n    IntArg,\n    UnionArg,\n    WithLibraryClassArg,\n    LibraryClass,\n    IncompatibleDataclassArg,\n    IncompatibleDataclass,\n    WithStringDefault,\n    WithUntypedStringDefault,\n    ListValues,\n    DictValues,\n    PeskySentinelUsage,\n    Tuples,\n)\n\nfrom tests.test_modules.generated import PeskySentinelUsageConf\n\nchdir_hydra_root(subdir=\"tools/configen\")\n\n##\n# To re-generate the expected config run the following command from configen's root directory (tools/configen).\n#\n# PYTHONPATH=. configen --config-dir tests/gen-test-expected/\n#\n##\nconf: ConfigenConf = OmegaConf.structured(\n    ConfigenConf(\n        header=\"\"\"# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\n# Generated by configen, do not edit.\n# See https://github.com/facebookresearch/hydra/tree/main/tools/configen\n# fmt: off\n# isort:skip_file\n# flake8: noqa\n\"\"\"\n    )\n)\n\n\nMODULE_NAME = \"tests.test_modules\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_generate.py_test_generated_code_test_generated_code._assert_expected_output_g": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_generate.py_test_generated_code_test_generated_code._assert_expected_output_g", "embedding": null, "metadata": {"file_path": "tools/configen/tests/test_generate.py", "file_name": "test_generate.py", "file_type": "text/x-python", "category": "test", "start_line": 62, "end_line": 87, "span_ids": ["test_generated_code"], "tokens": 155}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_generated_code() -> None:\n    classes = [\n        \"Empty\",\n        \"UntypedArg\",\n        \"IntArg\",\n        \"UnionArg\",\n        \"WithLibraryClassArg\",\n        \"IncompatibleDataclassArg\",\n        \"WithStringDefault\",\n        \"WithUntypedStringDefault\",\n        \"ListValues\",\n        \"DictValues\",\n        \"Tuples\",\n        \"PeskySentinelUsage\",\n    ]\n    expected_file = Path(MODULE_NAME.replace(\".\", \"/\")) / \"generated.py\"\n    expected = expected_file.read_text()\n\n    generated = generate_module(\n        cfg=conf,\n        module=ModuleConf(\n            name=MODULE_NAME,\n            classes=classes,\n        ),\n    )\n    _assert_expected_output(generated, expected, expected_file)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_generate.py_test_generated_code_future_ann__assert_expected_output.if_generated_expected_.assert_False_f_Mismatch_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_generate.py_test_generated_code_future_ann__assert_expected_output.if_generated_expected_.assert_False_f_Mismatch_", "embedding": null, "metadata": {"file_path": "tools/configen/tests/test_generate.py", "file_name": "test_generate.py", "file_type": "text/x-python", "category": "test", "start_line": 90, "end_line": 122, "span_ids": ["test_generated_code_future_ann", "_assert_expected_output"], "tokens": 218}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.skipif(sys.version_info < (3, 7), reason=\"requires Python 3.7\")\ndef test_generated_code_future_ann() -> None:\n    classes = [\"ExampleClass\"]\n    expected_file = (\n        Path(MODULE_NAME.replace(\".\", \"/\")) / \"generated_future_annotations.py\"\n    )\n    expected = expected_file.read_text()\n\n    generated = generate_module(\n        cfg=conf,\n        module=ModuleConf(\n            name=MODULE_NAME + \".future_annotations\",\n            classes=classes,\n        ),\n    )\n    _assert_expected_output(generated, expected, expected_file)\n\n\ndef _assert_expected_output(generated: str, expected: str, expected_file: Path) -> None:\n    lines = [\n        line\n        for line in unified_diff(\n            expected.splitlines(),\n            generated.splitlines(),\n            fromfile=str(expected_file),\n            tofile=\"Generated\",\n        )\n    ]\n\n    diff = \"\\n\".join(lines)\n    if generated != expected:\n        print(diff)\n        assert False, f\"Mismatch between {expected_file} and generated code\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_generate.py_test_generated_code_with_default_flags_test_generated_code_with_default_flags.if_generated_expected_.assert_False_f_Mismatch_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_generate.py_test_generated_code_with_default_flags_test_generated_code_with_default_flags.if_generated_expected_.assert_False_f_Mismatch_", "embedding": null, "metadata": {"file_path": "tools/configen/tests/test_generate.py", "file_name": "test_generate.py", "file_type": "text/x-python", "category": "test", "start_line": 125, "end_line": 170, "span_ids": ["test_generated_code_with_default_flags"], "tokens": 286}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"classname, default_flags, expected_filename\",\n    [\n        param(\"Empty\", Flags(), \"noflags.py\", id=\"noflags\"),\n        param(\"Empty\", Flags(_convert_=ConvertMode.ALL), \"convert.py\", id=\"convert\"),\n        param(\"Empty\", Flags(_recursive_=True), \"recursive.py\", id=\"recursive\"),\n        param(\n            \"Empty\",\n            Flags(\n                _convert_=ConvertMode.ALL,\n                _recursive_=True,\n            ),\n            \"both.py\",\n            id=\"both\",\n        ),\n    ],\n)\ndef test_generated_code_with_default_flags(\n    classname: str, default_flags: Flags, expected_filename: str\n) -> None:\n    expected_file = (\n        Path(MODULE_NAME.replace(\".\", \"/\")) / \"default_flags\" / expected_filename\n    )\n    expected = expected_file.read_text()\n\n    generated = generate_module(\n        cfg=conf,\n        module=ModuleConf(\n            name=MODULE_NAME, classes=[classname], default_flags=default_flags\n        ),\n    )\n\n    lines = [\n        line\n        for line in unified_diff(\n            expected.splitlines(),\n            generated.splitlines(),\n            fromfile=str(expected_file),\n            tofile=\"Generated\",\n        )\n    ]\n\n    diff = \"\\n\".join(lines)\n    if generated != expected:\n        print(diff)\n        assert False, f\"Mismatch between {expected_file} and generated code\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/__init__.py_WithStringDefault_WithUntypedStringDefault.__eq__.return.isinstance_other_type_se": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/__init__.py_WithStringDefault_WithUntypedStringDefault.__eq__.return.isinstance_other_type_se", "embedding": null, "metadata": {"file_path": "tools/configen/tests/test_modules/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 100, "end_line": 128, "span_ids": ["WithStringDefault", "WithUntypedStringDefault.__init__", "WithStringDefault.__eq__", "WithUntypedStringDefault.__eq__", "WithUntypedStringDefault", "WithStringDefault.__init__"], "tokens": 177}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class WithStringDefault:\n    def __init__(\n        self,\n        no_default: str,\n        default_str: str = \"Bond, James Bond\",\n        none_str: Optional[str] = None,\n    ):\n        self.no_default = no_default\n        self.default_str = default_str\n        self.none_str = none_str\n\n    def __eq__(self, other):\n        return (\n            isinstance(other, type(self))\n            and self.no_default == other.no_default\n            and self.default_str == other.default_str\n            and self.none_str == other.none_str\n        )\n\n\nclass WithUntypedStringDefault:\n    def __init__(\n        self,\n        default_str=\"Bond, James Bond\",\n    ):\n        self.default_str = default_str\n\n    def __eq__(self, other):\n        return isinstance(other, type(self)) and self.default_str == other.default_str", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/default_flags/both.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/default_flags/both.py__", "embedding": null, "metadata": {"file_path": "tools/configen/tests/test_modules/default_flags/both.py", "file_name": "both.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 16, "span_ids": ["EmptyConf", "docstring"], "tokens": 108}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\n# Generated by configen, do not edit.\n# See https://github.com/facebookresearch/hydra/tree/main/tools/configen\n# fmt: off\n# isort:skip_file\n# flake8: noqa\n\nfrom dataclasses import dataclass, field\n\n\n@dataclass\nclass EmptyConf:\n    _target_: str = \"tests.test_modules.Empty\"\n    _convert_: str = \"ALL\"\n    _recursive_: bool = True", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/default_flags/convert.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/default_flags/convert.py__", "embedding": null, "metadata": {"file_path": "tools/configen/tests/test_modules/default_flags/convert.py", "file_name": "convert.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 15, "span_ids": ["EmptyConf", "docstring"], "tokens": 101}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\n# Generated by configen, do not edit.\n# See https://github.com/facebookresearch/hydra/tree/main/tools/configen\n# fmt: off\n# isort:skip_file\n# flake8: noqa\n\nfrom dataclasses import dataclass, field\n\n\n@dataclass\nclass EmptyConf:\n    _target_: str = \"tests.test_modules.Empty\"\n    _convert_: str = \"ALL\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/default_flags/noflags.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/default_flags/noflags.py__", "embedding": null, "metadata": {"file_path": "tools/configen/tests/test_modules/default_flags/noflags.py", "file_name": "noflags.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["EmptyConf", "docstring"], "tokens": 92}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\n# Generated by configen, do not edit.\n# See https://github.com/facebookresearch/hydra/tree/main/tools/configen\n# fmt: off\n# isort:skip_file\n# flake8: noqa\n\nfrom dataclasses import dataclass, field\n\n\n@dataclass\nclass EmptyConf:\n    _target_: str = \"tests.test_modules.Empty\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/default_flags/recursive.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/default_flags/recursive.py__", "embedding": null, "metadata": {"file_path": "tools/configen/tests/test_modules/default_flags/recursive.py", "file_name": "recursive.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 15, "span_ids": ["EmptyConf", "docstring"], "tokens": 99}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\n# Generated by configen, do not edit.\n# See https://github.com/facebookresearch/hydra/tree/main/tools/configen\n# fmt: off\n# isort:skip_file\n# flake8: noqa\n\nfrom dataclasses import dataclass, field\n\n\n@dataclass\nclass EmptyConf:\n    _target_: str = \"tests.test_modules.Empty\"\n    _recursive_: bool = True", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/future_annotations.py_from___future___import_an_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/future_annotations.py_from___future___import_an_", "embedding": null, "metadata": {"file_path": "tools/configen/tests/test_modules/future_annotations.py", "file_name": "future_annotations.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 55, "span_ids": ["LibraryClass.__eq__", "ExampleClass.__eq__", "User", "ExampleClass", "docstring", "LibraryClass", "ExampleClass.__init__"], "tokens": 327}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from __future__ import annotations  # type: ignore # noqa: F407\n\nfrom dataclasses import dataclass\nfrom typing import List, Optional\n\nfrom omegaconf import MISSING\n\n\n@dataclass\nclass User:\n    name: str = MISSING\n    age: int = MISSING\n\n\nclass LibraryClass:\n    \"\"\"\n    Some class from a user library that is incompatible with OmegaConf config\n    \"\"\"\n\n    def __eq__(self, other):\n        return isinstance(other, type(self))\n\n\nclass ExampleClass:\n    def __init__(\n        self,\n        no_default: float,\n        lst: List[str],\n        passthrough_list: List[LibraryClass],\n        dataclass_val: List[User],\n        def_value: List[str] = [],\n        default_str=\"Bond, James Bond\",\n        none_str: Optional[str] = None,\n    ):\n        self.no_default = no_default\n        self.lst = lst\n        self.passthrough_list = passthrough_list\n        self.dataclass_val = dataclass_val\n        self.def_value = def_value\n        self.default_str: str = default_str\n        self.none_str = none_str\n\n    def __eq__(self, other):\n        return (\n            isinstance(other, type(self))\n            and self.no_default == other.no_default\n            and self.lst == other.lst\n            and self.passthrough_list == other.passthrough_list\n            and self.dataclass_val == other.dataclass_val\n            and self.def_value == other.def_value\n            and self.default_str == other.default_str\n            and self.none_str == other.none_str\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/generated_future_annotations.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/tests/test_modules/generated_future_annotations.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "tools/configen/tests/test_modules/generated_future_annotations.py", "file_name": "generated_future_annotations.py", "file_type": "text/x-python", "category": "test", "start_line": 8, "end_line": 26, "span_ids": ["ExampleClassConf", "docstring"], "tokens": 143}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass, field\nfrom omegaconf import MISSING\nfrom tests.test_modules.future_annotations import User\nfrom typing import Any\nfrom typing import List\nfrom typing import Optional\n\n\n@dataclass\nclass ExampleClassConf:\n    _target_: str = \"tests.test_modules.future_annotations.ExampleClass\"\n    no_default: float = MISSING\n    lst: List[str] = MISSING\n    passthrough_list: Any = MISSING  # List[LibraryClass]\n    dataclass_val: List[User] = MISSING\n    def_value: List[str] = field(default_factory=lambda: [])\n    default_str: Any = \"Bond, James Bond\"\n    none_str: Optional[str] = None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/release/release.py_get_package_info_build_package.try_.finally_.os_chdir_prev_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/release/release.py_get_package_info_build_package.try_.finally_.os_chdir_prev_", "embedding": null, "metadata": {"file_path": "tools/release/release.py", "file_name": "release.py", "file_type": "text/x-python", "category": "implementation", "start_line": 87, "end_line": 121, "span_ids": ["build_package", "get_package_info"], "tokens": 260}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def get_package_info(path: str) -> PackageInfo:\n    try:\n        prev = os.getcwd()\n        path = os.path.abspath(path)\n        os.chdir(path)\n        out, _err = run_python_script(\n            cmd=[f\"{path}/setup.py\", \"--version\"], allow_warnings=True\n        )\n        local_version: Version = parse_version(out)\n        package_name, _err = run_python_script(\n            cmd=[f\"{path}/setup.py\", \"--name\"], allow_warnings=True\n        )\n    finally:\n        os.chdir(prev)\n\n    remote_metadata = get_metadata(package_name)\n    latest = get_releases(remote_metadata)[-1]\n    return PackageInfo(\n        name=package_name, local_version=local_version, latest_version=latest\n    )\n\n\ndef build_package(cfg: Config, pkg_path: str, build_dir: str) -> None:\n    try:\n        prev = os.getcwd()\n        os.chdir(pkg_path)\n        log.info(f\"Building {get_package_info('.').name}\")\n        shutil.rmtree(\"dist\", ignore_errors=True)\n        cmd = [\"-m\", \"build\", \"-o\", build_dir, *cfg.build_targets]\n        run_python_script(\n            cmd=cmd,\n            allow_warnings=False,\n        )\n    finally:\n        os.chdir(prev)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/release/release.py_bump_version_OmegaConf_register_new_re": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/release/release.py_bump_version_OmegaConf_register_new_re", "embedding": null, "metadata": {"file_path": "tools/release/release.py", "file_name": "release.py", "file_type": "text/x-python", "category": "implementation", "start_line": 163, "end_line": 174, "span_ids": ["impl:4", "bump_version"], "tokens": 129}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def bump_version(cfg: Config, package: Package, hydra_root: str) -> None:\n    if package.version_type == VersionType.SETUP:\n        ver_file = Path(hydra_root) / package.path / \"setup.py\"\n        bump_version_in_file(cfg, package.name, ver_file)\n    elif package.version_type == VersionType.FILE:\n        ver_file = Path(hydra_root) / package.path / package.version_file\n        bump_version_in_file(cfg, package.name, ver_file)\n    else:\n        raise ValueError()\n\n\nOmegaConf.register_new_resolver(\"parent_key\", lambda _parent_: _parent_._key())", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_configsource_plugin/tests/test_example_config_source.py_from_pytest_import_mark_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_configsource_plugin/tests/test_example_config_source.py_from_pytest_import_mark_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_configsource_plugin/tests/test_example_config_source.py", "file_name": "test_example_config_source.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 24, "span_ids": ["test_discovery", "TestCoreConfigSources", "docstring"], "tokens": 142}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pytest import mark\n\nfrom hydra.core.plugins import Plugins\nfrom hydra.plugins.config_source import ConfigSource\nfrom hydra.test_utils.config_source_common_tests import ConfigSourceTestSuite\n\n\nfrom hydra_plugins.example_configsource_plugin.example_configsource_plugin import (\n    ConfigSourceExample,\n)\n\n\n@mark.parametrize(\"type_, path\", [(ConfigSourceExample, \"example://valid_path\")])\nclass TestCoreConfigSources(ConfigSourceTestSuite):\n    pass\n\n\ndef test_discovery() -> None:\n    # Test that this config source is discoverable when looking at config sources\n    assert ConfigSourceExample.__name__ in [\n        x.__name__ for x in Plugins.instance().discover(ConfigSource)\n    ]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_launcher_plugin/tests/test_example_launcher_plugin.py_from_pytest_import_mark_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_launcher_plugin/tests/test_example_launcher_plugin.py_from_pytest_import_mark_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_launcher_plugin/tests/test_example_launcher_plugin.py", "file_name": "test_example_launcher_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 42, "span_ids": ["TestExampleLauncher", "test_discovery", "TestExampleLauncherIntegration", "docstring"], "tokens": 224}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pytest import mark\n\nfrom hydra.core.plugins import Plugins\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.test_utils.launcher_common_tests import (\n    IntegrationTestSuite,\n    LauncherTestSuite,\n)\n\n\nfrom hydra_plugins.example_launcher_plugin.example_launcher import ExampleLauncher\n\n\ndef test_discovery() -> None:\n    # Tests that this plugin can be discovered via the plugins subsystem when looking for Launchers\n    assert ExampleLauncher.__name__ in [\n        x.__name__ for x in Plugins.instance().discover(Launcher)\n    ]\n\n\n@mark.parametrize(\"launcher_name, overrides\", [(\"example\", [])])\nclass TestExampleLauncher(LauncherTestSuite):\n    \"\"\"\n    Run the Launcher test suite on this launcher.\n    Note that hydra/launcher/example.yaml should be provided by this launcher.\n    \"\"\"\n\n    pass\n\n\n@mark.parametrize(\n    \"task_launcher_cfg, extra_flags\",\n    [({}, [\"-m\", \"hydra/launcher=example\"])],\n)\nclass TestExampleLauncherIntegration(IntegrationTestSuite):\n    \"\"\"\n    Run this launcher through the integration test suite.\n    \"\"\"\n\n    pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/hydra_plugins/example_sweeper_plugin/example_sweeper.py_ExampleSweeper_ExampleSweeper.setup.self.hydra_context.hydra_context": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/hydra_plugins/example_sweeper_plugin/example_sweeper.py_ExampleSweeper_ExampleSweeper.setup.self.hydra_context.hydra_context", "embedding": null, "metadata": {"file_path": "examples/plugins/example_sweeper_plugin/hydra_plugins/example_sweeper_plugin/example_sweeper.py", "file_name": "example_sweeper.py", "file_type": "text/x-python", "category": "implementation", "start_line": 43, "end_line": 64, "span_ids": ["ExampleSweeper", "ExampleSweeper.__init__", "ExampleSweeper.setup"], "tokens": 180}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ExampleSweeper(Sweeper):\n    def __init__(self, max_batch_size: int, foo: str, bar: str):\n        self.max_batch_size = max_batch_size\n        self.config: Optional[DictConfig] = None\n        self.launcher: Optional[Launcher] = None\n        self.hydra_context: Optional[HydraContext] = None\n        self.job_results = None\n        self.foo = foo\n        self.bar = bar\n\n    def setup(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> None:\n        self.config = config\n        self.launcher = Plugins.instance().instantiate_launcher(\n            hydra_context=hydra_context, task_function=task_function, config=config\n        )\n        self.hydra_context = hydra_context", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/tests/test_example_sweeper_plugin.py_from_pytest_import_mark_test_discovery.assert_ExampleSweeper___n": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_sweeper_plugin/tests/test_example_sweeper_plugin.py_from_pytest_import_mark_test_discovery.assert_ExampleSweeper___n", "embedding": null, "metadata": {"file_path": "examples/plugins/example_sweeper_plugin/tests/test_example_sweeper_plugin.py", "file_name": "test_example_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 20, "span_ids": ["test_discovery", "docstring"], "tokens": 144}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pytest import mark\n\nfrom hydra.core.plugins import Plugins\nfrom hydra.plugins.sweeper import Sweeper\nfrom hydra.test_utils.launcher_common_tests import (\n    BatchedSweeperTestSuite,\n    IntegrationTestSuite,\n    LauncherTestSuite,\n)\nfrom hydra.test_utils.test_utils import TSweepRunner\n\nfrom hydra_plugins.example_sweeper_plugin.example_sweeper import ExampleSweeper\n\n\ndef test_discovery() -> None:\n    # Tests that this plugin can be discovered via the plugins subsystem when looking at the Sweeper plugins\n    assert ExampleSweeper.__name__ in [\n        x.__name__ for x in Plugins.instance().discover(Sweeper)\n    ]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/callbacks.py_warnings_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/callbacks.py_warnings_", "embedding": null, "metadata": {"file_path": "hydra/_internal/callbacks.py", "file_name": "callbacks.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 57, "span_ids": ["Callbacks.on_job_start", "Callbacks.on_job_end", "Callbacks.__init__", "Callbacks.on_multirun_start", "Callbacks.on_run_end", "Callbacks.on_multirun_end", "Callbacks.on_run_start", "Callbacks._notify", "docstring", "Callbacks"], "tokens": 473}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import warnings\nfrom typing import TYPE_CHECKING, Any, Optional\n\nfrom omegaconf import DictConfig, OmegaConf\n\nif TYPE_CHECKING:\n    from hydra.core.utils import JobReturn\n\n\nclass Callbacks:\n    def __init__(self, config: Optional[DictConfig] = None) -> None:\n        self.callbacks = []\n        from hydra.utils import instantiate\n\n        if config is not None and OmegaConf.select(config, \"hydra.callbacks\"):\n            for params in config.hydra.callbacks.values():\n                self.callbacks.append(instantiate(params))\n\n    def _notify(self, function_name: str, reverse: bool = False, **kwargs: Any) -> None:\n        callbacks = reversed(self.callbacks) if reverse else self.callbacks\n        for c in callbacks:\n            try:\n                getattr(c, function_name)(**kwargs)\n            except Exception as e:\n                warnings.warn(\n                    f\"Callback {type(c).__name__}.{function_name} raised {type(e).__name__}: {e}\"\n                )\n\n    def on_run_start(self, config: DictConfig, **kwargs: Any) -> None:\n        self._notify(function_name=\"on_run_start\", config=config, **kwargs)\n\n    def on_run_end(self, config: DictConfig, **kwargs: Any) -> None:\n        self._notify(function_name=\"on_run_end\", config=config, reverse=True, **kwargs)\n\n    def on_multirun_start(self, config: DictConfig, **kwargs: Any) -> None:\n        self._notify(function_name=\"on_multirun_start\", config=config, **kwargs)\n\n    def on_multirun_end(self, config: DictConfig, **kwargs: Any) -> None:\n        self._notify(\n            function_name=\"on_multirun_end\", reverse=True, config=config, **kwargs\n        )\n\n    def on_job_start(self, config: DictConfig, **kwargs: Any) -> None:\n        self._notify(function_name=\"on_job_start\", config=config, **kwargs)\n\n    def on_job_end(\n        self, config: DictConfig, job_return: \"JobReturn\", **kwargs: Any\n    ) -> None:\n        self._notify(\n            function_name=\"on_job_end\",\n            config=config,\n            job_return=job_return,\n            reverse=True,\n            **kwargs,\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/utils.py_inspect__ESC_QUOTED_STR._": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/utils.py_inspect__ESC_QUOTED_STR._", "embedding": null, "metadata": {"file_path": "hydra/_internal/grammar/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 19, "span_ids": ["docstring"], "tokens": 151}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import inspect\nimport re\nfrom typing import Any, Union\n\nfrom omegaconf._utils import is_dict_annotation, is_list_annotation\n\n# All characters that must be escaped (must match the ESC grammar lexer token).\n_ESC = \"\\\\()[]{}:=, \\t\"\n\n# Regular expression that matches any sequence of characters in `_ESC`.\n_ESC_REGEX = re.compile(f\"[{re.escape(_ESC)}]+\")\n\n# Regular expression that matches \\ that must be escaped in a quoted string, i.e.,\n# any number of \\ followed by a quote.\n_ESC_QUOTED_STR = {\n    \"'\": re.compile(r\"(\\\\)+'\"),  # single quote\n    '\"': re.compile(r'(\\\\)+\"'),  # double quote\n}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/utils.py_escape_special_characters_escape_special_characters.return.s": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/utils.py_escape_special_characters_escape_special_characters.return.s", "embedding": null, "metadata": {"file_path": "hydra/_internal/grammar/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 22, "end_line": 40, "span_ids": ["escape_special_characters"], "tokens": 168}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def escape_special_characters(s: str) -> str:\n    \"\"\"Escape special characters in `s`\"\"\"\n    matches = _ESC_REGEX.findall(s)\n    if not matches:\n        return s\n    # Replace all special characters found in `s`. Performance should not be critical\n    # so we do one pass per special character.\n    all_special = set(\"\".join(matches))\n    # '\\' is even more special: it needs to be replaced first, otherwise we will\n    # mess up the other escaped characters.\n    try:\n        all_special.remove(\"\\\\\")\n    except KeyError:\n        pass  # no '\\' in the string\n    else:\n        s = s.replace(\"\\\\\", \"\\\\\\\\\")\n    for special_char in all_special:\n        s = s.replace(special_char, f\"\\\\{special_char}\")\n    return s", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.show_cfg_Hydra.show_cfg.if_not_isinstance_ret_Co.else_.sys_stdout_write_OmegaCon": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.show_cfg_Hydra.show_cfg.if_not_isinstance_ret_Co.else_.sys_stdout_write_OmegaCon", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 165, "end_line": 200, "span_ids": ["Hydra.show_cfg"], "tokens": 233}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    def show_cfg(\n        self,\n        config_name: Optional[str],\n        overrides: List[str],\n        cfg_type: str,\n        package: Optional[str],\n        resolve: bool = False,\n    ) -> None:\n        cfg = self.compose_config(\n            config_name=config_name,\n            overrides=overrides,\n            run_mode=RunMode.RUN,\n            with_log_configuration=False,\n        )\n        HydraConfig.instance().set_config(cfg)\n        OmegaConf.set_readonly(cfg.hydra, None)\n        cfg = self.get_sanitized_cfg(cfg, cfg_type)\n        if package == \"_global_\":\n            package = None\n\n        if package is None:\n            ret = cfg\n        else:\n            ret = OmegaConf.select(cfg, package)\n            if ret is None:\n                sys.stderr.write(f\"package '{package}' not found in config\\n\")\n                sys.exit(1)\n\n        if not isinstance(ret, Container):\n            print(ret)\n        else:\n            if package is not None:\n                print(f\"# @package {package}\")\n            if resolve:\n                OmegaConf.resolve(ret)\n            sys.stdout.write(OmegaConf.to_yaml(ret))", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_visitor.py_HydraOverrideVisitor._unescape_quoted_string_HydraOverrideVisitor._unescape_quoted_string.return._join_tokens_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/overrides_visitor.py_HydraOverrideVisitor._unescape_quoted_string_HydraOverrideVisitor._unescape_quoted_string.return._join_tokens_", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/overrides_visitor.py", "file_name": "overrides_visitor.py", "file_type": "text/x-python", "category": "implementation", "start_line": 311, "end_line": 358, "span_ids": ["HydraOverrideVisitor._unescape_quoted_string"], "tokens": 473}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class HydraOverrideVisitor(OverrideParserVisitor):\n\n    def _unescape_quoted_string(self, text: str) -> str:\n        r\"\"\"\n        Unescape a quoted string, by looking at \\ that precede a quote.\n\n        The input string should contain enclosing quotes, which are stripped away\n        by this function.\n\n        Due to the grammar definition of quoted strings, it is assumed that:\n            * if there are \\ preceding the closing quote, their number must be even\n            * if there are \\ preceding a quote in the middle of the string, their\n              number must be odd\n\n        Examples (with double quotes, but the same logic applies to single quotes):\n            * \"abc\\\"def\"    -> abc\"def\n            * \"abc\\\\\\\"def\"  -> abc\\\"def\n            * \"abc\\\\\"       -> abc\\\n            * \"abc\\\\\\\\\"     -> abc\\\\\"\n        \"\"\"\n        qc = text[0]  # quote character\n        text = text[1:]  # remove first quote *but* keep the last one\n        pattern = _ESC_QUOTED_STR[qc]\n        match = pattern.search(text)\n\n        if match is None:\n            return text[0:-1]  # remove last quote\n\n        tokens = []\n        while match is not None:\n            start, stop = match.span()\n            # Add characters before the escaped sequence.\n            tokens.append(text[0:start])\n            # Un-escaping. Note that this works both for escaped quotes in the middle of\n            # a string, as well as trailing backslashes where the end quote is stripped:\n            #   \\\"    -> \"  (escaped quote in the middle)\n            #   \\\\\"   -> \\  (escaped trailing backslash)\n            #   \\\\\\\"  -> \\\" (escaped backslash followed by escaped quote in the middle)\n            #   \\\\\\\\\" -> \\\\ (two escaped trailing backslashes)\n            #   ...\n            tokens.append(text[start + 1 : stop : 2])\n            # Move on to next match.\n            text = text[stop:]\n            match = pattern.search(text)\n\n        if len(text) > 1:\n            # Add characters after the last match, removing the end quote.\n            tokens.append(text[0:-1])\n\n        return \"\".join(tokens)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_decimal_Quote.double.1": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_decimal_Quote.double.1", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/types.py", "file_name": "types.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 24, "span_ids": ["Quote", "docstring"], "tokens": 158}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import decimal\nimport fnmatch\nfrom copy import copy\nfrom dataclasses import dataclass, field\nfrom enum import Enum\nfrom random import shuffle\nfrom textwrap import dedent\nfrom typing import Any, Callable, Dict, Iterator, List, Optional, Set, Union, cast\n\nfrom omegaconf import OmegaConf\nfrom omegaconf._utils import is_structured_config\n\nfrom hydra import version\nfrom hydra._internal.deprecation_warning import deprecation_warning\nfrom hydra._internal.grammar.utils import _ESC_QUOTED_STR, escape_special_characters\nfrom hydra.core.config_loader import ConfigLoader\nfrom hydra.core.object_type import ObjectType\nfrom hydra.errors import HydraException\n\n\nclass Quote(Enum):\n    single = 0\n    double = 1", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_QuotedString_QuotedString.with_quotes.return.f_qc_esc_text_qc_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_QuotedString_QuotedString.with_quotes.return.f_qc_esc_text_qc_", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/types.py", "file_name": "types.py", "file_type": "text/x-python", "category": "implementation", "start_line": 26, "end_line": 72, "span_ids": ["QuotedString", "QuotedString.with_quotes"], "tokens": 397}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass(frozen=True)\nclass QuotedString:\n    text: str\n\n    quote: Quote\n\n    def with_quotes(self) -> str:\n        qc = \"'\" if self.quote == Quote.single else '\"'\n        esc_qc = rf\"\\{qc}\"\n\n        match = None\n        if \"\\\\\" in self.text:\n            text = self.text + qc  # add the closing quote\n            # Are there \\ preceding a quote (including the closing one)?\n            pattern = _ESC_QUOTED_STR[qc]\n            match = pattern.search(text)\n\n        if match is None:\n            # Simple case: we only need to escape the quotes.\n            esc_text = self.text.replace(qc, esc_qc)\n            return f\"{qc}{esc_text}{qc}\"\n\n        # Escape the \\ preceding a quote.\n        tokens = []\n        while match is not None:\n            start, stop = match.span()\n            # Add characters before the sequence to escape.\n            tokens.append(text[0:start])\n            # Escape the \\ (we double the number of backslashes, which is equal to\n            # the length of the matched pattern, minus one for the quote).\n            new_n_backslashes = (stop - start - 1) * 2\n            tokens.append(\"\\\\\" * new_n_backslashes)\n            if stop < len(text):\n                # We only append the matched quote if it is not the closing quote\n                # (because we will add back the closing quote in the final step).\n                tokens.append(qc)\n            text = text[stop:]\n            match = pattern.search(text)\n\n        if len(text) > 1:\n            tokens.append(text[0:-1])  # remaining characters without the end quote\n\n        # Concatenate all fragments and escape quotes.\n        esc_text = \"\".join(tokens).replace(qc, esc_qc)\n\n        # Finally add the enclosing quotes.\n        return f\"{qc}{esc_text}{qc}\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_Sweep_FloatRange.__next__.if_self_step_0_.else_.raise_HydraException_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/override_parser/types.py_Sweep_FloatRange.__next__.if_self_step_0_.else_.raise_HydraException_", "embedding": null, "metadata": {"file_path": "hydra/core/override_parser/types.py", "file_name": "types.py", "file_type": "text/x-python", "category": "implementation", "start_line": 75, "end_line": 124, "span_ids": ["FloatRange.__iter__", "FloatRange", "ChoiceSweep", "FloatRange.__post_init__", "FloatRange.__next__", "Sweep"], "tokens": 321}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass Sweep:\n    tags: Set[str] = field(default_factory=set)\n\n\n@dataclass\nclass ChoiceSweep(Sweep):\n    # simple form: a,b,c\n    # explicit form: choices(a,b,c)\n    list: List[\"ParsedElementType\"] = field(default_factory=list)\n    simple_form: bool = False\n    shuffle: bool = False\n\n\n@dataclass\nclass FloatRange:\n    start: Union[decimal.Decimal, float]\n    stop: Union[decimal.Decimal, float]\n    step: Union[decimal.Decimal, float]\n\n    def __post_init__(self) -> None:\n        self.start = decimal.Decimal(self.start)\n        self.stop = decimal.Decimal(self.stop)\n        self.step = decimal.Decimal(self.step)\n\n    def __iter__(self) -> Any:\n        return self\n\n    def __next__(self) -> float:\n        assert isinstance(self.start, decimal.Decimal)\n        assert isinstance(self.stop, decimal.Decimal)\n        assert isinstance(self.step, decimal.Decimal)\n        if self.step > 0:\n            if self.start < self.stop:\n                ret = float(self.start)\n                self.start += self.step\n                return ret\n            else:\n                raise StopIteration\n        elif self.step < 0:\n            if self.start > self.stop:\n                ret = float(self.start)\n                self.start += self.step\n                return ret\n            else:\n                raise StopIteration\n        else:\n            raise HydraException(\n                f\"Invalid range values (start:{self.start}, stop:{self.stop}, step:{self.step})\"\n            )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/plugins.py_Plugins.instantiate_launcher_Plugins.instantiate_launcher.return.launcher": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/plugins.py_Plugins.instantiate_launcher_Plugins.instantiate_launcher.return.launcher", "embedding": null, "metadata": {"file_path": "hydra/core/plugins.py", "file_name": "plugins.py", "file_type": "text/x-python", "category": "implementation", "start_line": 146, "end_line": 161, "span_ids": ["Plugins.instantiate_launcher"], "tokens": 118}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Plugins(metaclass=Singleton):\n\n    def instantiate_launcher(\n        self,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> Launcher:\n        Plugins.check_usage(self)\n        if config.hydra.launcher is None:\n            raise RuntimeError(\"Hydra launcher is not configured\")\n\n        launcher = self._instantiate(config.hydra.launcher)\n        assert isinstance(launcher, Launcher)\n        launcher.setup(\n            hydra_context=hydra_context, task_function=task_function, config=config\n        )\n        return launcher", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py_from_dataclasses_import_d_RayLoggingConf.verbosity.RayLoggingVerbosity_minim": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py_from_dataclasses_import_d_RayLoggingConf.verbosity.RayLoggingVerbosity_minim", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py", "file_name": "_config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 84, "span_ids": ["RayConf", "impl", "RayAutoScalingMode", "RayLauncherConf", "RayLoggingStyle", "RayLoggingColorMode", "docstring", "RayLoggingConf", "RayLoggingVerbosity", "_pkg_version"], "tokens": 510}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass, field\nfrom enum import Enum, IntEnum\nfrom importlib import import_module\nfrom typing import Any, Dict, List, Optional\n\nfrom hydra.core.config_store import ConfigStore\nfrom omegaconf import OmegaConf\nfrom pkg_resources import get_distribution\n\n\n@dataclass\nclass RayConf:\n    init: Dict[str, Any] = field(default_factory=lambda: {\"address\": None})\n    remote: Dict[str, Any] = field(default_factory=dict)\n\n\n@dataclass\nclass RayLauncherConf:\n    _target_: str = \"hydra_plugins.hydra_ray_launcher.ray_launcher.RayLauncher\"\n    ray: RayConf = RayConf()\n\n\ndef _pkg_version(mdl_name: str) -> Optional[str]:\n    mdl = import_module(mdl_name)\n    ret = getattr(mdl, \"__version__\")\n    assert ret is None or isinstance(ret, str)\n    return ret\n\n\nOmegaConf.register_new_resolver(\"ray_pkg_version\", _pkg_version)\n\n# Ray AWS config, more info on ray's schema here:\n# https://github.com/ray-project/ray/blob/master/python/ray/autoscaler/ray-schema.json\n\n\nclass RayAutoScalingMode(Enum):\n    default = \"default\"\n    aggressive = \"aggressive\"\n\n\nclass RayLoggingStyle(Enum):\n    \"\"\"\n    If 'pretty', outputs with formatting and color.\n    If 'record', outputs record-style without formatting.\n    'auto' defaults to 'pretty', and disables pretty logging\n    if stdin is *not* a TTY. Defaults to \"auto\".\n    \"\"\"\n\n    auto = \"auto\"\n    pretty = \"pretty\"\n    record = \"record\"\n\n\nclass RayLoggingColorMode(Enum):\n    \"\"\"\n    Enables or disables `colorful`. Can be \"true\", \"false\", or \"auto\".\n    \"\"\"\n\n    true = \"true\"\n    false = \"false\"\n    auto = \"auto\"\n\n\nclass RayLoggingVerbosity(IntEnum):\n    \"\"\"\n    Low verbosity will disable `verbose` and `very_verbose` messages.\n    \"\"\"\n\n    minimal = 0\n    verbose = 1\n    very_verbose = 2\n    very_very_verbose = 3\n\n\n@dataclass\nclass RayLoggingConf:\n    \"\"\"\n    Ray sdk.configure_logging parameters: log_style, color_mode, verbosity\n    \"\"\"\n\n    log_style: RayLoggingStyle = RayLoggingStyle.auto\n    color_mode: RayLoggingColorMode = RayLoggingColorMode.auto\n    verbosity: int = RayLoggingVerbosity.minimal.value", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py_RayCreateOrUpdateClusterConf_RayTeardownClusterConf.keep_min_workers.False": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py_RayCreateOrUpdateClusterConf_RayTeardownClusterConf.keep_min_workers.False", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py", "file_name": "_config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 87, "end_line": 119, "span_ids": ["RayTeardownClusterConf", "RayCreateOrUpdateClusterConf"], "tokens": 228}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass RayCreateOrUpdateClusterConf:\n    \"\"\"\n    Ray sdk.create_or_update_cluster parameters: no_restart, restart_only, no_config_cache\n    \"\"\"\n\n    # Whether to skip restarting Ray services during the\n    # update. This avoids interrupting running jobs and can be used to\n    # dynamically adjust autoscaler configuration.\n    no_restart: bool = False\n\n    # Whether to skip running setup commands and only\n    # restart Ray. This cannot be used with 'no-restart'.\n    restart_only: bool = False\n\n    # Whether to disable the config cache and fully\n    # resolve all environment settings from the Cloud provider again.\n    no_config_cache: bool = False\n\n\n@dataclass\nclass RayTeardownClusterConf:\n    \"\"\"\n    Ray sdk.teardown parameters: workers_only, keep_min_workers\n    \"\"\"\n\n    # Whether to keep the head node running and only\n    # teardown worker nodes.\n    workers_only: bool = False\n\n    # Whether to keep min_workers (as specified\n    # in the RayClusterConf) still running.\n    keep_min_workers: bool = False", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_core_aws.py_launch_launch.with_tempfile_TemporaryDi.return.launch_jobs_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_core_aws.py_launch_launch.with_tempfile_TemporaryDi.return.launch_jobs_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_core_aws.py", "file_name": "_core_aws.py", "file_type": "text/x-python", "category": "implementation", "start_line": 54, "end_line": 109, "span_ids": ["launch"], "tokens": 452}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def launch(\n    launcher: RayAWSLauncher,\n    job_overrides: Sequence[Sequence[str]],\n    initial_job_idx: int,\n) -> Sequence[JobReturn]:\n    setup_globals()\n    assert launcher.config is not None\n    assert launcher.hydra_context is not None\n    assert launcher.task_function is not None\n\n    setup_commands = launcher.env_setup.commands\n    packages = filter(\n        lambda x: x[1] is not None, launcher.env_setup.pip_packages.items()\n    )\n    with read_write(setup_commands):\n        setup_commands.extend(\n            [f\"pip install {package}=={version}\" for package, version in packages]\n        )\n        setup_commands.extend(launcher.ray_cfg.cluster.setup_commands)\n\n    with read_write(launcher.ray_cfg.cluster):\n        launcher.ray_cfg.cluster.setup_commands = setup_commands\n\n    configure_log(launcher.config.hydra.hydra_logging, launcher.config.hydra.verbose)\n    logging_config = OmegaConf.to_container(\n        launcher.logging, resolve=True, enum_to_str=True\n    )\n    sdk.configure_logging(**logging_config)\n\n    log.info(f\"Ray Launcher is launching {len(job_overrides)} jobs, \")\n\n    with tempfile.TemporaryDirectory() as local_tmp_dir:\n        sweep_configs = []\n        for idx, overrides in enumerate(job_overrides):\n            idx = initial_job_idx + idx\n            ostr = \" \".join(filter_overrides(overrides))\n            log.info(f\"\\t#{idx} : {ostr}\")\n            sweep_config = launcher.hydra_context.config_loader.load_sweep_config(\n                launcher.config, list(overrides)\n            )\n            with open_dict(sweep_config):\n                # job.id will be set on the EC2 instance before running the job.\n                sweep_config.hydra.job.num = idx\n\n            sweep_configs.append(sweep_config)\n\n        _pickle_jobs(\n            tmp_dir=local_tmp_dir,\n            hydra_context=launcher.hydra_context,\n            sweep_configs=sweep_configs,  # type: ignore\n            task_function=launcher.task_function,\n            singleton_state=Singleton.get_state(),\n        )\n        return launch_jobs(\n            launcher, local_tmp_dir, Path(launcher.config.hydra.sweep.dir)\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py_logging_start_ray.if_not_ray_is_initialized.else_.log_info_Ray_is_already_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py_logging_start_ray.if_not_ray_is_initialized.else_.log_info_Ray_is_already_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py", "file_name": "_launcher_util.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 38, "span_ids": ["start_ray", "docstring"], "tokens": 260}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nimport os\nfrom contextlib import contextmanager\nfrom subprocess import PIPE, Popen\nfrom typing import Any, Dict, Generator, List, Tuple\n\nimport ray\nfrom hydra.core.hydra_config import HydraConfig\nfrom hydra.core.singleton import Singleton\nfrom hydra.core.utils import JobReturn, run_job, setup_globals\nfrom hydra.types import HydraContext, TaskFunction\nfrom omegaconf import DictConfig, OmegaConf\n\n# mypy complains about \"unused type: ignore comment\" on macos\n# workaround adapted from: https://github.com/twisted/twisted/pull/1416\ntry:\n    import importlib\n\n    sdk: Any = importlib.import_module(\"ray.autoscaler.sdk\")\nexcept ModuleNotFoundError as e:\n    raise ImportError(e)\n\nlog = logging.getLogger(__name__)\n\nJOB_SPEC_PICKLE = \"job_spec.pkl\"\nJOB_RETURN_PICKLE = \"returns.pkl\"\n\n\ndef start_ray(init_cfg: DictConfig) -> None:\n    if not ray.is_initialized():\n        log.info(f\"Initializing ray with config: {init_cfg}\")\n        if init_cfg:\n            ray.init(**OmegaConf.to_container(init_cfg, resolve=True))\n        else:\n            ray.init()\n    else:\n        log.info(\"Ray is already running.\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py__run_job__run_job.return.run_job_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py__run_job__run_job.return.run_job_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py", "file_name": "_launcher_util.py", "file_type": "text/x-python", "category": "implementation", "start_line": 41, "end_line": 56, "span_ids": ["_run_job"], "tokens": 117}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _run_job(\n    hydra_context: HydraContext,\n    sweep_config: DictConfig,\n    task_function: TaskFunction,\n    singleton_state: Dict[Any, Any],\n) -> JobReturn:\n    setup_globals()\n    Singleton.set_state(singleton_state)\n    HydraConfig.instance().set_config(sweep_config)\n    return run_job(\n        hydra_context=hydra_context,\n        task_function=task_function,\n        config=sweep_config,\n        job_dir_key=\"hydra.sweep.dir\",\n        job_subdir_key=\"hydra.sweep.subdir\",\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py_launch_job_on_ray_launch_job_on_ray.return.ret": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py_launch_job_on_ray_launch_job_on_ray.return.ret", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py", "file_name": "_launcher_util.py", "file_type": "text/x-python", "category": "implementation", "start_line": 59, "end_line": 79, "span_ids": ["launch_job_on_ray"], "tokens": 133}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def launch_job_on_ray(\n    hydra_context: HydraContext,\n    ray_remote: DictConfig,\n    sweep_config: DictConfig,\n    task_function: TaskFunction,\n    singleton_state: Any,\n) -> Any:\n    if ray_remote:\n        run_job_ray = ray.remote(**OmegaConf.to_container(ray_remote, resolve=True))(\n            _run_job\n        )\n    else:\n        run_job_ray = ray.remote(_run_job)\n\n    ret = run_job_ray.remote(\n        hydra_context=hydra_context,\n        sweep_config=sweep_config,\n        task_function=task_function,\n        singleton_state=singleton_state,\n    )\n    return ret", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py__run_command__run_command.with_Popen_args_args_std.return.out_str_err_str": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py__run_command__run_command.with_Popen_args_args_std.return.out_str_err_str", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py", "file_name": "_launcher_util.py", "file_type": "text/x-python", "category": "implementation", "start_line": 80, "end_line": 87, "span_ids": ["_run_command"], "tokens": 113}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _run_command(args: Any) -> Tuple[str, str]:\n    with Popen(args=args, stdout=PIPE, stderr=PIPE) as proc:\n        log.info(f\"Running command: {' '.join(args)}\")\n        out, err = proc.communicate()\n        out_str = out.decode().strip() if out is not None else \"\"\n        err_str = err.decode().strip() if err is not None else \"\"\n        log.info(f\"Output: {out_str} \\n Error: {err_str}\")\n        return out_str, err_str", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py_ray_tmp_dir_ray_tmp_dir.sdk_run_on_cluster_config": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py_ray_tmp_dir_ray_tmp_dir.sdk_run_on_cluster_config", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_launcher_util.py", "file_name": "_launcher_util.py", "file_type": "text/x-python", "category": "implementation", "start_line": 90, "end_line": 105, "span_ids": ["ray_tmp_dir"], "tokens": 178}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@contextmanager\ndef ray_tmp_dir(config: Dict[Any, Any], run_env: str) -> Generator[Any, None, None]:\n    out = sdk.run_on_cluster(\n        config, run_env=run_env, cmd=\"echo $(mktemp -d)\", with_output=True\n    ).decode()\n\n    tmppath = [\n        x\n        for x in out.strip().split()\n        if x.startswith(\"/tmp/\") and \"ray-config\" not in x  # nosec\n    ]\n    assert len(tmppath) == 1, f\"tmppath is : {tmppath}\"\n    tmp_path = tmppath[0]\n    log.info(f\"Created temp path on remote server {tmp_path}\")\n    yield tmp_path\n    sdk.run_on_cluster(config, run_env=run_env, cmd=f\"rm -rf {tmp_path}\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py_manage_cluster_manage_cluster.sdk_teardown_cluster_conn": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py_manage_cluster_manage_cluster.sdk_teardown_cluster_conn", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py", "file_name": "test_ray_aws_launcher.py", "file_type": "text/x-python", "category": "test", "start_line": 228, "end_line": 284, "span_ids": ["manage_cluster"], "tokens": 481}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@fixture(scope=\"module\")\ndef manage_cluster() -> Generator[None, None, None]:\n    # first assert the SHA of requirements hasn't changed\n    # if changed, means we need to update test AMI.\n\n    # build all the wheels\n    tmpdir = tempfile.mkdtemp()\n    core_wheel = build_core_wheel(tmpdir)\n    plugin_wheel = build_ray_launcher_wheel(tmpdir)\n    connect_config = {\n        \"cluster_name\": cluster_name,\n        \"provider\": {\n            \"type\": \"aws\",\n            \"region\": \"us-west-2\",\n            \"availability_zone\": \"us-west-2a,us-west-2b\",\n            \"cache_stopped_nodes\": False,\n            \"key_pair\": {\"key_name\": f\"hydra_test_{cluster_name}\"},\n        },\n        \"auth\": {\"ssh_user\": \"ubuntu\"},\n        \"setup_commands\": [\n            f\"echo 'export PATH=\\\"$HOME/anaconda3/envs/hydra_{cur_py_version}/bin:$PATH\\\"' >> ~/.bashrc\"\n        ],\n        \"head_setup_commands\": [],\n        \"available_node_types\": ray_nodes_conf,\n        \"head_node_type\": \"ray.head.default\",\n        \"head_start_ray_commands\": [\n            \"ray stop\",\n            \"ray start --head\",\n        ],\n    }\n\n    # save connect_config as yaml, this could be useful for debugging\n    # you can run `ray attach <connect_config>.yaml` and log on to the AWS cluster for debugging.\n    conf = OmegaConf.create(connect_config)\n    with tempfile.NamedTemporaryFile(suffix=\".yaml\", delete=False) as fp:\n        OmegaConf.save(config=conf, f=fp.name, resolve=True)\n        log.info(f\"Saving config to {fp.name}\")\n\n    sdk.create_or_update_cluster(\n        connect_config,\n    )\n    sdk.run_on_cluster(\n        connect_config,\n        run_env=\"auto\",\n        cmd=f\"mkdir -p {temp_remote_dir}\",\n        with_output=True,\n    )\n    sdk.run_on_cluster(\n        connect_config,\n        run_env=\"auto\",\n        cmd=f\"mkdir -p {temp_remote_wheel_dir}\",\n        with_output=True,\n    )\n    upload_and_install_wheels(tmpdir, connect_config, core_wheel, plugin_wheel)\n    validate_lib_version(connect_config)\n    yield\n    sdk.teardown_cluster(connect_config)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/_core.py_logging_log.logging_getLogger___name_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/_core.py_logging_log.logging_getLogger___name_", "embedding": null, "metadata": {"file_path": "plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 26, "span_ids": ["docstring"], "tokens": 151}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nimport time\nimport uuid\nfrom pathlib import Path\nfrom typing import Any, Dict, List, Sequence\n\nimport cloudpickle  # type: ignore\nfrom fakeredis import FakeStrictRedis  # type: ignore\nfrom hydra.core.hydra_config import HydraConfig\nfrom hydra.core.singleton import Singleton\nfrom hydra.core.utils import (\n    JobReturn,\n    configure_log,\n    filter_overrides,\n    run_job,\n    setup_globals,\n)\nfrom hydra.types import HydraContext, TaskFunction\nfrom omegaconf import DictConfig, OmegaConf, open_dict\nfrom redis import Redis\nfrom rq import Queue  # type: ignore\n\nfrom .rq_launcher import RQLauncher\n\nlog = logging.getLogger(__name__)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/_core.py_execute_job_execute_job.return.ret": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/_core.py_execute_job_execute_job.return.ret", "embedding": null, "metadata": {"file_path": "plugins/hydra_rq_launcher/hydra_plugins/hydra_rq_launcher/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 29, "end_line": 48, "span_ids": ["execute_job"], "tokens": 120}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def execute_job(\n    hydra_context: HydraContext,\n    sweep_config: DictConfig,\n    task_function: TaskFunction,\n    singleton_state: Dict[Any, Any],\n) -> JobReturn:\n    setup_globals()\n    Singleton.set_state(singleton_state)\n\n    HydraConfig.instance().set_config(sweep_config)\n\n    ret = run_job(\n        hydra_context=hydra_context,\n        task_function=task_function,\n        config=sweep_config,\n        job_dir_key=\"hydra.sweep.dir\",\n        job_subdir_key=\"hydra.sweep.subdir\",\n    )\n\n    return ret", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/tests/test_rq_launcher.py_from_typing_import_List_TestRQLauncherIntegration.pass": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_rq_launcher/tests/test_rq_launcher.py_from_typing_import_List_TestRQLauncherIntegration.pass", "embedding": null, "metadata": {"file_path": "plugins/hydra_rq_launcher/tests/test_rq_launcher.py", "file_name": "test_rq_launcher.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 47, "span_ids": ["test_discovery", "TestRQLauncher", "TestRQLauncherIntegration", "docstring"], "tokens": 297}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import List\n\nfrom hydra.core.plugins import Plugins\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.test_utils.launcher_common_tests import (\n    IntegrationTestSuite,\n    LauncherTestSuite,\n)\nfrom hydra.test_utils.test_utils import TSweepRunner, chdir_plugin_root\nfrom pytest import mark\n\nfrom hydra_plugins.hydra_rq_launcher.rq_launcher import RQLauncher\n\nchdir_plugin_root()\n\n\ndef test_discovery() -> None:\n    # Tests that this plugin can be discovered via the plugins subsystem when looking for Launchers\n    assert RQLauncher.__name__ in [\n        x.__name__ for x in Plugins.instance().discover(Launcher)\n    ]\n\n\n# https://github.com/rq/rq/issues/1244\n@mark.filterwarnings(\"ignore::DeprecationWarning\")\n@mark.parametrize(\"launcher_name, overrides\", [(\"rq\", [])])\nclass TestRQLauncher(LauncherTestSuite):\n    \"\"\"\n    Run the Launcher test suite on this launcher.\n    \"\"\"\n\n    pass\n\n\n# https://github.com/rq/rq/issues/1244\n@mark.filterwarnings(\"ignore::DeprecationWarning\")\n@mark.parametrize(\n    \"task_launcher_cfg, extra_flags\",\n    [({}, [\"-m\", \"hydra/launcher=rq\"])],\n)\nclass TestRQLauncherIntegration(IntegrationTestSuite):\n    \"\"\"\n    Run this launcher through the integration test suite.\n    \"\"\"\n\n    pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/simple_interpolation/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/simple_interpolation/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/simple_interpolation/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 73}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(cfg.c)\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_cfg_resolve_interpolation_test_cfg_resolve_interpolation.assert_text_same_result_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_cfg_resolve_interpolation_test_cfg_resolve_interpolation.assert_text_same_result_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 468, "end_line": 524, "span_ids": ["test_cfg_resolve_interpolation"], "tokens": 291}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"script,resolve,flags,expected\",\n    [\n        param(\n            \"tests/test_apps/simple_interpolation/my_app.py\",\n            False,\n            [],\n            dedent(\n                \"\"\"\\\n                a: ${b}\n                b: 10\n                \"\"\"\n            ),\n            id=\"cfg\",\n        ),\n        param(\n            \"tests/test_apps/simple_interpolation/my_app.py\",\n            True,\n            [],\n            dedent(\n                \"\"\"\\\n                a: 10\n                b: 10\n                \"\"\"\n            ),\n            id=\"resolve\",\n        ),\n        param(\n            \"tests/test_apps/simple_app/my_app.py\",\n            True,\n            [\n                \"--config-name=interp_to_hydra\",\n                \"--config-dir=tests/test_apps/simple_app\",\n            ],\n            dedent(\n                \"\"\"\\\n                a: my_app\n                \"\"\"\n            ),\n            id=\"resolve_hydra_config\",\n        ),\n    ],\n)\ndef test_cfg_resolve_interpolation(\n    tmpdir: Path, script: str, resolve: bool, flags: List[str], expected: str\n) -> None:\n    cmd = [\n        script,\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"--cfg=job\",\n    ] + flags\n    if resolve:\n        cmd.append(\"--resolve\")\n\n    result, _err = run_python_script(cmd)\n    assert_text_same(result, expected)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_resolve_flag_errmsg_test_resolve_flag_errmsg.assert_normalize_newlines": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_resolve_flag_errmsg_test_resolve_flag_errmsg.assert_normalize_newlines", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 527, "end_line": 544, "span_ids": ["test_resolve_flag_errmsg"], "tokens": 162}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"other_flag\",\n    [None, \"--run\", \"--multirun\", \"--info\", \"--shell-completion\", \"--hydra-help\"],\n)\ndef test_resolve_flag_errmsg(tmpdir: Path, other_flag: Optional[str]) -> None:\n    cmd = [\n        \"examples/tutorials/basic/your_first_hydra_app/3_using_config/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"--resolve\",\n    ]\n    if other_flag is not None:\n        cmd.append(other_flag)\n\n    err = run_with_error(cmd)\n    assert normalize_newlines(err).endswith(\n        \"ValueError: The --resolve flag can only be used in conjunction with --cfg or --help\"\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_job_exception_test_job_exception.assert_regex_match_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_job_exception_test_job_exception.assert_regex_match_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1329, "end_line": 1362, "span_ids": ["test_job_exception"], "tokens": 189}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"expected\",\n    [\n        (\n            dedent(\n                \"\"\"\\\n                Error executing job with overrides: []\n                Traceback (most recent call last):\n                  File \".*my_app.py\", line 9, in my_app\n                    1 / 0\n                ZeroDivisionError: division by zero\n\n                Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.\"\"\"\n            )\n        ),\n    ],\n)\ndef test_job_exception(\n    tmpdir: Any,\n    expected: str,\n) -> None:\n    ret = run_with_error(\n        [\n            \"tests/test_apps/app_exception/my_app.py\",\n            f\"hydra.run.dir={tmpdir}\",\n            \"hydra.job.chdir=True\",\n        ]\n    )\n    assert_regex_match(\n        from_line=expected,\n        to_line=ret,\n        from_name=\"Expected output\",\n        to_name=\"Actual output\",\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra_context_warnings.py_re_IncompatibleLauncher.launch.pass": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra_context_warnings.py_re_IncompatibleLauncher.launch.pass", "embedding": null, "metadata": {"file_path": "tests/test_hydra_context_warnings.py", "file_name": "test_hydra_context_warnings.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 56, "span_ids": ["IncompatibleSweeper.sweep", "IncompatibleLauncher.__init__", "IncompatibleSweeper.__init__", "IncompatibleSweeper", "IncompatibleLauncher.launch", "IncompatibleLauncher", "IncompatibleSweeper.setup", "docstring", "IncompatibleLauncher.setup"], "tokens": 344}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import re\nfrom textwrap import dedent\nfrom typing import Any, List, Sequence, Union\nfrom unittest.mock import Mock\n\nfrom omegaconf import DictConfig, OmegaConf\nfrom pytest import mark, raises\n\nfrom hydra import TaskFunction\nfrom hydra._internal.callbacks import Callbacks\nfrom hydra._internal.config_loader_impl import ConfigLoaderImpl\nfrom hydra._internal.utils import create_config_search_path\nfrom hydra.core.config_loader import ConfigLoader\nfrom hydra.core.plugins import Plugins\nfrom hydra.core.utils import JobReturn, _check_hydra_context\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.plugins.sweeper import Sweeper\nfrom hydra.test_utils.test_utils import chdir_hydra_root\nfrom hydra.types import HydraContext\n\nchdir_hydra_root()\n\n\nclass IncompatibleSweeper(Sweeper):\n    def __init__(self) -> None:\n        pass\n\n    def setup(  # type: ignore\n        self,\n        config: DictConfig,\n        config_loader: ConfigLoader,\n        task_function: TaskFunction,\n    ) -> None:\n        pass\n\n    def sweep(self, arguments: List[str]) -> Any:\n        pass\n\n\nclass IncompatibleLauncher(Launcher):\n    def __init__(self) -> None:\n        pass\n\n    def setup(  # type: ignore\n        self,\n        config: DictConfig,\n        config_loader: ConfigLoader,\n        task_function: TaskFunction,\n    ) -> None:\n        pass\n\n    def launch(\n        self, job_overrides: Sequence[Sequence[str]], initial_job_idx: int\n    ) -> Sequence[JobReturn]:\n        pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_package_test_package.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_package_test_package.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 519, "end_line": 530, "span_ids": ["test_package"], "tokens": 112}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value,expected\",\n    [\n        param(\"abc\", \"abc\", id=\"package\"),\n        param(\"abc.cde\", \"abc.cde\", id=\"package\"),\n        param(\"$foo\", \"$foo\", id=\"package_dollar\"),\n        param(\"$foo.bar$.x$z\", \"$foo.bar$.x$z\", id=\"package_dollar_dotpath\"),\n    ],\n)\ndef test_package(value: str, expected: Any) -> None:\n    ret = parse_rule(value, \"package\")\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_package_or_group_test_package_or_group.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_package_or_group_test_package_or_group.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 533, "end_line": 545, "span_ids": ["test_package_or_group"], "tokens": 132}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value,expected\",\n    [\n        param(\"abc\", \"abc\", id=\"package\"),\n        param(\"abc.cde\", \"abc.cde\", id=\"package\"),\n        param(\"$foo\", \"$foo\", id=\"package_dollar\"),\n        param(\"$foo.bar$.x$z\", \"$foo.bar$.x$z\", id=\"package_dollar_dotpath\"),\n        param(\"a/b/c\", \"a/b/c\", id=\"group\"),\n    ],\n)\ndef test_package_or_group(value: str, expected: Any) -> None:\n    ret = parse_rule(value, \"packageOrGroup\")\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_primitive_test_primitive.assert_eq_ret_expected_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_primitive_test_primitive.assert_eq_ret_expected_", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 579, "end_line": 639, "span_ids": ["test_primitive"], "tokens": 903}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"value,expected\",\n    [\n        param(\"a\", \"a\", id=\"a\"),\n        param(UNQUOTED_SPECIAL, UNQUOTED_SPECIAL, id=\"accepted_specials\"),\n        param(\"abc10\", \"abc10\", id=\"abc10\"),\n        param(\"a.b.c\", \"a.b.c\", id=\"a.b.c\"),\n        param(\"list.0.bar\", \"list.0.bar\", id=\"list.0.bar\"),\n        param(\"0.foo\", \"0.foo\", id=\"0.foo\"),\n        param(\"10\", 10, id=\"10\"),\n        param(\"10abc\", \"10abc\", id=\"10abc\"),\n        param(\"abc-cde\", \"abc-cde\", id=\"abc-cde\"),\n        param(\"true\", True, id=\"primitive:bool\"),\n        param(\"True\", True, id=\"primitive:bool\"),\n        param(\"TRUE\", True, id=\"primitive:bool\"),\n        param(\"trUe\", True, id=\"primitive:bool\"),\n        param(\"false\", False, id=\"primitive:bool\"),\n        param(\"False\", False, id=\"primitive:bool\"),\n        param(\"FALSE\", False, id=\"primitive:bool\"),\n        param(\"faLse\", False, id=\"primitive:bool\"),\n        param(\"abc\", \"abc\", id=\"primitive:id\"),\n        param(\"abc123\", \"abc123\", id=\"primitive:idint\"),\n        param(\"abc-123\", \"abc-123\", id=\"primitive:id-int\"),\n        param(\"xyz_${a.b.c}\", \"xyz_${a.b.c}\", id=\"primitive:str_interpolation\"),\n        param(\"${f:USER,root}\", \"${f:USER,root}\", id=\"primitive:custom_inter\"),\n        param(\"${f.g:USER,root}\", \"${f.g:USER,root}\", id=\"primitive:custom_inter\"),\n        param(\"c:\\\\foo\\\\a-b.txt\", \"c:\\\\foo\\\\a-b.txt\", id=\"primitive:windows_path\"),\n        # null\n        param(\"null\", None, id=\"primitive:null\"),\n        # int\n        param(\"0\", 0, id=\"primitive:int:zero\"),\n        param(\"-1\", -1, id=\"primitive:int:neg\"),\n        param(\"1\", 1, id=\"primitive:int:pos\"),\n        param(\"10_0\", 100, id=\"primitive:int:underscore\"),\n        # float\n        param(\"0.0\", 0.0, id=\"primitive:float:zero\"),\n        param(\"0.51\", 0.51, id=\"primitive:float:positive\"),\n        param(\"1e-05\", 1e-05, id=\"primitive:float:small\"),\n        param(\"-3.14\", -3.14, id=\"primitive:float:negative\"),\n        param(\"3.1_4\", 3.14, id=\"primitive:float:underscore\"),\n        param(\"10e0\", 10.0, id=\"primitive:float:exp\"),\n        param(\"-10e1\", -100.0, id=\"primitive:float:exp:neg\"),\n        param(\"inf\", math.inf, id=\"primitive:float:inf\"),\n        param(\"INF\", math.inf, id=\"primitive:float:inf\"),\n        param(\"-inf\", -math.inf, id=\"primitive:float:inf:neg\"),\n        param(\"nan\", math.nan, id=\"primitive:float:nan\"),\n        param(\"NaN\", math.nan, id=\"primitive:float:nan\"),\n        # bool\n        param(\"true\", True, id=\"primitive:bool\"),\n        param(\"false\", False, id=\"primitive:bool\"),\n        # interpolations:\n        param(\"${a}\", \"${a}\", id=\"primitive:interpolation\"),\n        param(\"${a.b.c}\", \"${a.b.c}\", id=\"primitive:interpolation\"),\n        param(\"${foo:a}\", \"${foo:a}\", id=\"primitive:interpolation\"),\n        param(\"${foo:1,2,3}\", \"${foo:1,2,3}\", id=\"primitive:interpolation\"),\n        param(\"${foo:[1,2,3]}\", \"${foo:[1,2,3]}\", id=\"primitive:interpolation\"),\n    ],\n)\ndef test_primitive(value: str, expected: Any) -> None:\n    ret = parse_rule(value, \"primitive\")\n    assert eq(ret, expected)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_primitive_quoted_string_test_primitive_quoted_string._round_trip": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_primitive_quoted_string_test_primitive_quoted_string._round_trip", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 642, "end_line": 825, "span_ids": ["test_primitive_quoted_string"], "tokens": 1395}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    (\"value\", \"expected\"),\n    [\n        param(\n            r\"'foo \\'bar'\",\n            QuotedString(text=\"foo 'bar\", quote=Quote.single),\n            id=\"escape_single_quote\",\n        ),\n        param(\n            r'\"foo \\\"bar\"',\n            QuotedString(text='foo \"bar', quote=Quote.double),\n            id=\"escape_double_quote\",\n        ),\n        param(\n            r\"'foo \\\\\\'bar'\",\n            QuotedString(text=r\"foo \\'bar\", quote=Quote.single),\n            id=\"escape_single_quote_x3\",\n        ),\n        param(\n            r'\"foo \\\\\\\"bar\"',\n            QuotedString(text=r\"foo \\\"bar\", quote=Quote.double),\n            id=\"escape_double_quote_x3\",\n        ),\n        param(\n            r\"'foo\\bar'\",\n            QuotedString(text=r\"foo\\bar\", quote=Quote.single),\n            id=\"one_backslash_single\",\n        ),\n        param(\n            r'\"foo\\bar\"',\n            QuotedString(text=r\"foo\\bar\", quote=Quote.double),\n            id=\"one_backslash_double\",\n        ),\n        param(\n            r\"'foo\\\\bar'\",\n            QuotedString(text=r\"foo\\\\bar\", quote=Quote.single),\n            id=\"noesc_backslash\",\n        ),\n        param(\n            r\"'foo\\\\\\\\bar'\",\n            QuotedString(text=r\"foo\\\\\\\\bar\", quote=Quote.single),\n            id=\"noesc_backslash_x4\",\n        ),\n        param(\n            r\"'foo bar\\\\'\",\n            # Note: raw strings do not allow trailing \\, adding a space and stripping it.\n            QuotedString(text=r\" foo bar\\ \".strip(), quote=Quote.single),\n            id=\"escape_backslash_trailing\",\n        ),\n        param(\n            r\"'foo \\\\\\\\\\'bar\\' \\\\\\\\\\\\'\",\n            QuotedString(text=r\" foo \\\\'bar' \\\\\\ \".strip(), quote=Quote.single),\n            id=\"escape_mixed\",\n        ),\n        param(\n            \"'\\t []{},=+~'\",\n            QuotedString(text=\"\\t []{},=+~\", quote=Quote.single),\n            id=\"quoted_specials\",\n        ),\n        param(\n            '\"\\t []{},=+~\"',\n            QuotedString(text=\"\\t []{},=+~\", quote=Quote.double),\n            id=\"quoted_specials\",\n        ),\n        param(\n            \"'a b c'\",\n            QuotedString(text=\"a b c\", quote=Quote.single),\n            id=\"quoted_with_whitespace\",\n        ),\n        param(\n            \"'a,b'\",\n            QuotedString(text=\"a,b\", quote=Quote.single),\n            id=\"quoted_with_comma\",\n        ),\n        param(\n            \"'[1,2,3]'\",\n            QuotedString(text=\"[1,2,3]\", quote=Quote.single),\n            id=\"quoted_list\",\n        ),\n        param(\n            '\"[1,2,3]\"',\n            QuotedString(text=\"[1,2,3]\", quote=Quote.double),\n            id=\"quoted_list\",\n        ),\n        param(\n            \"\\\"[1,'2',3]\\\"\",\n            QuotedString(text=\"[1,'2',3]\", quote=Quote.double),\n            id=\"quoted_list_with_quoted_element\",\n        ),\n        param(\n            \"'null'\",\n            QuotedString(text=\"null\", quote=Quote.single),\n            id=\"null\",\n        ),\n        param(\"'100'\", QuotedString(text=\"100\", quote=Quote.single), id=\"int\"),\n        param(\n            \"'3.14'\",\n            QuotedString(text=\"3.14\", quote=Quote.single),\n            id=\"float\",\n        ),\n        param(\n            \"'nan'\",\n            QuotedString(text=\"nan\", quote=Quote.single),\n            id=\"float:constant\",\n        ),\n        param(\n            \"'inf'\",\n            QuotedString(text=\"inf\", quote=Quote.single),\n            id=\"float:constant\",\n        ),\n        param(\n            \"'nan'\",\n            QuotedString(text=\"nan\", quote=Quote.single),\n            id=\"float:constant\",\n        ),\n        param(\n            \"'true'\",\n            QuotedString(text=\"true\", quote=Quote.single),\n            id=\"bool\",\n        ),\n        param(\n            \"'false'\",\n            QuotedString(text=\"false\", quote=Quote.single),\n            id=\"bool\",\n        ),\n        param(\n            \"'a ${b}'\",\n            QuotedString(text=\"a ${b}\", quote=Quote.single),\n            id=\"interpolation\",\n        ),\n        param(\n            r\"'a \\${b}'\",\n            QuotedString(text=r\"a \\${b}\", quote=Quote.single),\n            id=\"esc_interpolation\",\n        ),\n        param(\n            r\"'a \\'\\${b}\\''\",\n            QuotedString(text=r\"a '\\${b}'\", quote=Quote.single),\n            id=\"quotes_and_esc_interpolation\",\n        ),\n        param(\n            r\"'a \\\\${b}'\",\n            QuotedString(text=r\"a \\\\${b}\", quote=Quote.single),\n            id=\"backslash_and_interpolation\",\n        ),\n        param(\n            r\"'a \\'${b}\\''\",\n            QuotedString(text=r\"a '${b}'\", quote=Quote.single),\n            id=\"quotes_and_interpolation\",\n        ),\n        param(\n            r\"'a \\'\\\\${b}\\''\",\n            QuotedString(text=r\"a '\\\\${b}'\", quote=Quote.single),\n            id=\"quotes_backslash_and_interpolation\",\n        ),\n        param(\n            r\"'a \\\\\\'${b}\\\\\\''\",\n            QuotedString(text=r\"a \\'${b}\\'\", quote=Quote.single),\n            id=\"backslash_quotes_and_interpolation\",\n        ),\n        param(\n            r\"'${foo:\\'b,a,r\\'}'\",\n            QuotedString(text=\"${foo:'b,a,r'}\", quote=Quote.single),\n            id=\"interpolation_with_quoted_string\",\n        ),\n        param(\n            r\"\"\"'${foo:${a}, \\'\\${bar}\\\\\\'\\', {x: \"${y}\"}}'\"\"\",\n            QuotedString(\n                text=r\"\"\"${foo:${a}, '\\${bar}\\'', {x: \"${y}\"}}\"\"\", quote=Quote.single\n            ),\n            id=\"nested_interpolation\",\n        ),\n        param(\n            r\"\"\"'${foo:\"\\' }\"}'\"\"\",\n            QuotedString(text=r\"\"\"${foo:\"' }\"}\"\"\", quote=Quote.single),\n            id=\"interpolation_apparent_brace_mismatch\",\n        ),\n    ],\n)\ndef test_primitive_quoted_string(value: str, expected: Any) -> None:\n    ret = parse_rule(value, \"primitive\")\n    assert isinstance(ret, QuotedString)\n    assert eq(ret, expected)\n    assert value == ret.with_quotes()  # round-trip", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_override_test_override.assert_ret_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_test_override_test_override.assert_ret_expected", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 828, "end_line": 978, "span_ids": ["test_override"], "tokens": 1143}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"prefix,override_type\",\n    [\n        param(\"\", OverrideType.CHANGE, id=\"change\"),\n        param(\"+\", OverrideType.ADD, id=\"add\"),\n        param(\"++\", OverrideType.FORCE_ADD, id=\"force_add\"),\n        param(\"~\", OverrideType.DEL, id=\"del\"),\n    ],\n)\n@mark.parametrize(\n    \"value,expected_key,expected_value,expected_value_type\",\n    [\n        param(\"key=value\", \"key\", \"value\", ValueType.ELEMENT, id=\"simple_value\"),\n        param(\n            \"key='1,2,3'\",\n            \"key\",\n            QuotedString(text=\"1,2,3\", quote=Quote.single),\n            ValueType.ELEMENT,\n            id=\"simple_value\",\n        ),\n        param(\n            \"key='\u05e9\u05dc\u05d5\u05dd'\",\n            \"key\",\n            QuotedString(text=\"\u05e9\u05dc\u05d5\u05dd\", quote=Quote.single),\n            ValueType.ELEMENT,\n            id=\"unicode\",\n        ),\n        param(\"key=value-123\", \"key\", \"value-123\", ValueType.ELEMENT, id=\"id-int\"),\n        param(\"key=value-1.0\", \"key\", \"value-1.0\", ValueType.ELEMENT, id=\"id-float\"),\n        param(\"key=value-true\", \"key\", \"value-true\", ValueType.ELEMENT, id=\"id-bool\"),\n        param(\"key=\", \"key\", \"\", ValueType.ELEMENT, id=\"empty_value\"),\n        param(\n            \"key='foo,bar'\",\n            \"key\",\n            QuotedString(text=\"foo,bar\", quote=Quote.single),\n            ValueType.ELEMENT,\n            id=\"quoted_value\",\n        ),\n        param(\n            \"key='foo , bar'\",\n            \"key\",\n            QuotedString(text=\"foo , bar\", quote=Quote.single),\n            ValueType.ELEMENT,\n            id=\"quoted_value\",\n        ),\n        param(\n            \"key=1,2,3\",\n            \"key\",\n            ChoiceSweep(list=[1, 2, 3], simple_form=True),\n            ValueType.SIMPLE_CHOICE_SWEEP,\n            id=\"choice\",\n        ),\n        param(\n            \"key=choice(1)\",\n            \"key\",\n            ChoiceSweep(list=[1]),\n            ValueType.CHOICE_SWEEP,\n            id=\"choice_1_element\",\n        ),\n        param(\n            \"key=choice(1,2,3)\",\n            \"key\",\n            ChoiceSweep(list=[1, 2, 3]),\n            ValueType.CHOICE_SWEEP,\n            id=\"choice_sweep\",\n        ),\n        param(\n            \"key=[1,2],[3,4]\",\n            \"key\",\n            ChoiceSweep(list=[[1, 2], [3, 4]], simple_form=True),\n            ValueType.SIMPLE_CHOICE_SWEEP,\n            id=\"choice\",\n        ),\n        param(\n            \"key=choice([1,2],[3,4])\",\n            \"key\",\n            ChoiceSweep(list=[[1, 2], [3, 4]]),\n            ValueType.CHOICE_SWEEP,\n            id=\"choice\",\n        ),\n        param(\n            \"key=range(0,2)\",\n            \"key\",\n            RangeSweep(start=0, stop=2),\n            ValueType.RANGE_SWEEP,\n            id=\"range\",\n        ),\n        param(\n            \"key=range(1,5,2)\",\n            \"key\",\n            RangeSweep(start=1, stop=5, step=2),\n            ValueType.RANGE_SWEEP,\n            id=\"range\",\n        ),\n        param(\n            \"key=range(10.0, 11.0)\",\n            \"key\",\n            RangeSweep(start=10.0, stop=11.0, step=1.0),\n            ValueType.RANGE_SWEEP,\n            id=\"range\",\n        ),\n        param(\n            \"key=interval(0,1)\",\n            \"key\",\n            IntervalSweep(start=0.0, end=1.0),\n            ValueType.INTERVAL_SWEEP,\n            id=\"interval\",\n        ),\n        # tags\n        param(\n            \"key=tag(a,b,choice([1,2],[3,4]))\",\n            \"key\",\n            ChoiceSweep(list=[[1, 2], [3, 4]], tags={\"a\", \"b\"}),\n            ValueType.CHOICE_SWEEP,\n            id=\"choice:tags\",\n        ),\n        param(\n            \"key=tag(a,b,interval(0,1))\",\n            \"key\",\n            IntervalSweep(tags={\"a\", \"b\"}, start=0.0, end=1.0),\n            ValueType.INTERVAL_SWEEP,\n            id=\"interval:tags\",\n        ),\n        param(\"key=str([1,2])\", \"key\", [\"1\", \"2\"], ValueType.ELEMENT, id=\"cast_list\"),\n        param(\n            \"choice=reverse\",\n            \"choice\",\n            \"reverse\",\n            ValueType.ELEMENT,\n            id=\"using_function_name_in_key\",\n        ),\n    ],\n)\ndef test_override(\n    prefix: str,\n    value: str,\n    override_type: OverrideType,\n    expected_key: str,\n    expected_value: Any,\n    expected_value_type: ValueType,\n) -> None:\n    line = prefix + value\n    ret = parse_rule(line, \"override\")\n    expected = Override(\n        input_line=line,\n        type=override_type,\n        key_or_group=expected_key,\n        _value=expected_value,\n        value_type=expected_value_type,\n    )\n    assert ret == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_copy_deprecation_warning": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_copy_deprecation_warning", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_loader_impl.py", "file_name": "config_loader_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 36, "span_ids": ["docstring"], "tokens": 253}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import copy\nimport os\nimport re\nimport sys\nimport warnings\nfrom collections import defaultdict\nfrom textwrap import dedent\nfrom typing import Any, Dict, List, MutableSequence, Optional\n\nfrom omegaconf import Container, DictConfig, OmegaConf, flag_override, open_dict\nfrom omegaconf.errors import (\n    ConfigAttributeError,\n    ConfigKeyError,\n    OmegaConfBaseException,\n)\n\nfrom hydra._internal.config_repository import (\n    CachingConfigRepository,\n    ConfigRepository,\n    IConfigRepository,\n)\nfrom hydra._internal.defaults_list import DefaultsList, create_defaults_list\nfrom hydra.conf import ConfigSourceInfo\nfrom hydra.core.config_loader import ConfigLoader\nfrom hydra.core.config_search_path import ConfigSearchPath\nfrom hydra.core.default_element import ResultDefault\nfrom hydra.core.object_type import ObjectType\nfrom hydra.core.override_parser.overrides_parser import OverridesParser\nfrom hydra.core.override_parser.types import Override, ValueType\nfrom hydra.core.utils import JobRuntime\nfrom hydra.errors import ConfigCompositionException, MissingConfigException\nfrom hydra.plugins.config_source import ConfigLoadError, ConfigResult, ConfigSource\nfrom hydra.types import RunMode\n\nfrom .deprecation_warning import deprecation_warning", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__update_overrides__update_overrides.for_d_in_defaults_list_.None_3.if_d_override_.overrides_add_override_pa": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__update_overrides__update_overrides.for_d_in_defaults_list_.None_3.if_d_override_.overrides_add_override_pa", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 368, "end_line": 432, "span_ids": ["_update_overrides"], "tokens": 506}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _update_overrides(\n    defaults_list: List[InputDefault],\n    overrides: Overrides,\n    parent: InputDefault,\n    interpolated_subtree: bool,\n) -> None:\n    seen_override = False\n    last_override_seen = None\n    for d in defaults_list:\n        if d.is_self():\n            continue\n        d.update_parent(parent.get_group_path(), parent.get_final_package())\n\n        legacy_hydra_override = False\n        if isinstance(d, GroupDefault):\n            assert d.group is not None\n            if not version.base_at_least(\"1.2\"):\n                legacy_hydra_override = not d.is_override() and d.group.startswith(\n                    \"hydra/\"\n                )\n\n        if seen_override and not (\n            d.is_override() or d.is_external_append() or legacy_hydra_override\n        ):\n            assert isinstance(last_override_seen, GroupDefault)\n            pcp = parent.get_config_path()\n            okey = last_override_seen.get_override_key()\n            oval = last_override_seen.get_name()\n            raise ConfigCompositionException(\n                dedent(\n                    f\"\"\"\\\n                    In {pcp}: Override '{okey} : {oval}' is defined before '{d.get_override_key()}: {d.get_name()}'.\n                    Overrides must be at the end of the defaults list\"\"\"\n                )\n            )\n\n        if isinstance(d, GroupDefault):\n            if legacy_hydra_override:\n                d.override = True\n                url = \"https://hydra.cc/docs/next/upgrades/1.0_to_1.1/defaults_list_override\"\n                msg = dedent(\n                    f\"\"\"\\\n                    In {parent.get_config_path()}: Invalid overriding of {d.group}:\n                    Default list overrides requires 'override' keyword.\n                    See {url} for more information.\n                    \"\"\"\n                )\n                deprecation_warning(msg)\n\n            if d.override:\n                if not legacy_hydra_override:\n                    seen_override = True\n                last_override_seen = d\n                if interpolated_subtree:\n                    # Since interpolations are deferred for until all the config groups are already set,\n                    # Their subtree may not contain config group overrides\n                    raise ConfigCompositionException(\n                        dedent(\n                            f\"\"\"\\\n                            {parent.get_config_path()}: Default List Overrides are not allowed in the subtree\n                            of an in interpolated config group (override {d.get_override_key()}={d.get_name()}).\n                            \"\"\"\n                        )\n                    )\n                overrides.add_override(parent.get_config_path(), d)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/deprecation_warning.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/deprecation_warning.py__", "embedding": null, "metadata": {"file_path": "hydra/_internal/deprecation_warning.py", "file_name": "deprecation_warning.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 14, "span_ids": ["deprecation_warning", "docstring"], "tokens": 104}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nimport os\nimport warnings\n\nfrom hydra.errors import HydraDeprecationError\n\n\ndef deprecation_warning(message: str, stacklevel: int = 1) -> None:\n    warnings_as_errors = os.environ.get(\"HYDRA_DEPRECATION_WARNINGS_AS_ERRORS\")\n    if warnings_as_errors:\n        raise HydraDeprecationError(message)\n    else:\n        warnings.warn(message, stacklevel=stacklevel + 1)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_range_range.return.RangeSweep_start_start_s": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_range_range.return.RangeSweep_start_start_s", "embedding": null, "metadata": {"file_path": "hydra/_internal/grammar/grammar_functions.py", "file_name": "grammar_functions.py", "file_type": "text/x-python", "category": "implementation", "start_line": 186, "end_line": 203, "span_ids": ["range"], "tokens": 200}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def range(\n    start: Union[int, float],\n    stop: Optional[Union[int, float]] = None,\n    step: Union[int, float] = 1,\n) -> RangeSweep:\n    \"\"\"\n    Range defines a sweep over a range of integer or floating-point values.\n    When only start is defined, it is set as the stop value, and start is set at\n    zero.\n    For a positive step, the contents of a range r are determined by the formula\n     r[i] = start + step*i where i >= 0 and r[i] < stop.\n    For a negative step, the contents of the range are still determined by the formula\n     r[i] = start + step*i, but the constraints are i >= 0 and r[i] > stop.\n    \"\"\"\n    if stop is None:\n        stop = start\n        start = 0\n    return RangeSweep(start=start, stop=stop, step=step)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_interval_tag.if_isinstance_last_Sweep.else_.raise_ValueError_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/grammar/grammar_functions.py_interval_tag.if_isinstance_last_Sweep.else_.raise_ValueError_", "embedding": null, "metadata": {"file_path": "hydra/_internal/grammar/grammar_functions.py", "file_name": "grammar_functions.py", "file_type": "text/x-python", "category": "implementation", "start_line": 206, "end_line": 239, "span_ids": ["interval", "tag"], "tokens": 267}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def interval(start: Union[int, float], end: Union[int, float]) -> IntervalSweep:\n    \"\"\"\n    A continuous interval between two floating point values.\n    value=interval(x,y) is interpreted as x <= value < y\n    \"\"\"\n    return IntervalSweep(start=float(start), end=float(end))\n\n\ndef tag(*args: Union[str, Union[Sweep]], sweep: Optional[Sweep] = None) -> Sweep:\n    \"\"\"\n    Tags the sweep with a list of string tags.\n    \"\"\"\n    if len(args) < 1:\n        raise ValueError(\"Not enough arguments to tag, must take at least a sweep\")\n\n    if sweep is not None:\n        return tag(*(list(args) + [sweep]))\n\n    last = args[-1]\n    if isinstance(last, Sweep):\n        sweep = last\n        tags = set()\n        for tag_ in args[0:-1]:\n            if not isinstance(tag_, str):\n                raise ValueError(\n                    f\"tag arguments type must be string, got {type(tag_).__name__}\"\n                )\n            tags.add(tag_)\n        sweep.tags = tags\n        return sweep\n    else:\n        raise ValueError(\n            f\"Last argument to tag() must be a choice(), range() or interval(), got {type(sweep).__name__}\"\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.get_sanitized_hydra_cfg_Hydra.get_sanitized_cfg.return.cfg": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra.get_sanitized_hydra_cfg_Hydra.get_sanitized_cfg.return.cfg", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 144, "end_line": 163, "span_ids": ["Hydra.get_sanitized_cfg", "Hydra.get_sanitized_hydra_cfg"], "tokens": 204}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n\n    @staticmethod\n    def get_sanitized_hydra_cfg(src_cfg: DictConfig) -> DictConfig:\n        cfg = copy.deepcopy(src_cfg)\n        with flag_override(cfg, [\"struct\", \"readonly\"], [False, False]):\n            for key in list(cfg.keys()):\n                if key != \"hydra\":\n                    del cfg[key]\n        with flag_override(cfg.hydra, [\"struct\", \"readonly\"], False):\n            del cfg.hydra[\"hydra_help\"]\n            del cfg.hydra[\"help\"]\n        return cfg\n\n    def get_sanitized_cfg(self, cfg: DictConfig, cfg_type: str) -> DictConfig:\n        assert cfg_type in [\"job\", \"hydra\", \"all\"]\n        if cfg_type == \"job\":\n            with flag_override(cfg, [\"struct\", \"readonly\"], [False, False]):\n                del cfg[\"hydra\"]\n        elif cfg_type == \"hydra\":\n            cfg = self.get_sanitized_hydra_cfg(cfg)\n        return cfg", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/compose.py_from_textwrap_import_dede_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/compose.py_from_textwrap_import_dede_", "embedding": null, "metadata": {"file_path": "hydra/compose.py", "file_name": "compose.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 63, "span_ids": ["compose", "docstring"], "tokens": 436}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from textwrap import dedent\nfrom typing import List, Optional\n\nfrom omegaconf import DictConfig, OmegaConf, open_dict\n\nfrom hydra import version\nfrom hydra.core.global_hydra import GlobalHydra\nfrom hydra.types import RunMode\n\nfrom ._internal.deprecation_warning import deprecation_warning\n\n\ndef compose(\n    config_name: Optional[str] = None,\n    overrides: List[str] = [],\n    return_hydra_config: bool = False,\n    strict: Optional[bool] = None,\n) -> DictConfig:\n    \"\"\"\n    :param config_name: the name of the config\n           (usually the file name without the .yaml extension)\n    :param overrides: list of overrides for config file\n    :param return_hydra_config: True to return the hydra config node in the result\n    :param strict: DEPRECATED. If false, returned config has struct mode disabled.\n    :return: the composed config\n    \"\"\"\n    assert (\n        GlobalHydra().is_initialized()\n    ), \"GlobalHydra is not initialized, use @hydra.main() or call one of the hydra initialization methods first\"\n\n    gh = GlobalHydra.instance()\n    assert gh.hydra is not None\n    cfg = gh.hydra.compose_config(\n        config_name=config_name,\n        overrides=overrides,\n        run_mode=RunMode.RUN,\n        from_shell=False,\n        with_log_configuration=False,\n    )\n    assert isinstance(cfg, DictConfig)\n\n    if not return_hydra_config:\n        if \"hydra\" in cfg:\n            with open_dict(cfg):\n                del cfg[\"hydra\"]\n\n    if strict is not None:\n        if version.base_at_least(\"1.2\"):\n            raise TypeError(\"got an unexpected 'strict' argument\")\n        else:\n            deprecation_warning(\n                dedent(\n                    \"\"\"\n                    The strict flag in the compose API is deprecated.\n                    See https://hydra.cc/docs/upgrades/0.11_to_1.0/strict_mode_flag_deprecated for more info.\n                    \"\"\"\n                )\n            )\n            OmegaConf.set_struct(cfg, strict)\n\n    return cfg", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_VirtualRoot_VirtualRoot.is_external_append.return.False": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_VirtualRoot_VirtualRoot.is_external_append.return.False", "embedding": null, "metadata": {"file_path": "hydra/core/default_element.py", "file_name": "default_element.py", "file_type": "text/x-python", "category": "implementation", "start_line": 267, "end_line": 312, "span_ids": ["VirtualRoot", "VirtualRoot.is_override", "VirtualRoot.get_group_path", "VirtualRoot.get_name", "VirtualRoot.is_external_append", "VirtualRoot.is_virtual", "VirtualRoot.is_optional", "VirtualRoot.get_final_package", "VirtualRoot._relative_group_path", "VirtualRoot._get_flags", "VirtualRoot._get_attributes", "VirtualRoot.resolve_interpolation", "VirtualRoot.__repr__", "VirtualRoot.get_config_path", "VirtualRoot.is_self", "VirtualRoot.is_missing"], "tokens": 236}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass VirtualRoot(InputDefault):\n    def is_virtual(self) -> bool:\n        return True\n\n    def is_self(self) -> bool:\n        return False\n\n    def is_optional(self) -> bool:\n        raise NotImplementedError()\n\n    def get_group_path(self) -> str:\n        raise NotImplementedError()\n\n    def get_config_path(self) -> str:\n        return \"<root>\"\n\n    def get_final_package(self, default_to_package_header: bool = True) -> str:\n        raise NotImplementedError()\n\n    def _relative_group_path(self) -> str:\n        raise NotImplementedError()\n\n    def get_name(self) -> str:\n        raise NotImplementedError()\n\n    def is_missing(self) -> bool:\n        return False\n\n    def _get_attributes(self) -> List[str]:\n        raise NotImplementedError()\n\n    def _get_flags(self) -> List[str]:\n        raise NotImplementedError()\n\n    def __repr__(self) -> str:\n        return \"VirtualRoot()\"\n\n    def resolve_interpolation(self, known_choices: DictConfig) -> None:\n        raise NotImplementedError()\n\n    def is_override(self) -> bool:\n        return False\n\n    def is_external_append(self) -> bool:\n        return False", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/compose.py_from_typing_import_List__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/compose.py_from_typing_import_List__", "embedding": null, "metadata": {"file_path": "hydra/experimental/compose.py", "file_name": "compose.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 32, "span_ids": ["compose", "docstring"], "tokens": 174}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import List, Optional\n\nfrom omegaconf import DictConfig\n\nfrom hydra import version\nfrom hydra._internal.deprecation_warning import deprecation_warning\n\n\ndef compose(\n    config_name: Optional[str] = None,\n    overrides: List[str] = [],\n    return_hydra_config: bool = False,\n    strict: Optional[bool] = None,\n) -> DictConfig:\n    from hydra import compose as real_compose\n\n    message = (\n        \"hydra.experimental.compose() is no longer experimental. Use hydra.compose()\"\n    )\n\n    if version.base_at_least(\"1.2\"):\n        raise ImportError(message)\n\n    deprecation_warning(message=message)\n    return real_compose(\n        config_name=config_name,\n        overrides=overrides,\n        return_hydra_config=return_hydra_config,\n        strict=strict,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/config_source.py_re_ConfigLoadError.pass": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/plugins/config_source.py_re_ConfigLoadError.pass", "embedding": null, "metadata": {"file_path": "hydra/plugins/config_source.py", "file_name": "config_source.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 28, "span_ids": ["ConfigLoadError", "ConfigResult", "docstring"], "tokens": 152}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import re\nfrom abc import abstractmethod\nfrom dataclasses import dataclass\nfrom typing import Dict, List, Optional\n\nfrom omegaconf import Container\n\nfrom hydra import version\nfrom hydra._internal.deprecation_warning import deprecation_warning\nfrom hydra.core.default_element import InputDefault\nfrom hydra.core.object_type import ObjectType\nfrom hydra.errors import HydraException\nfrom hydra.plugins.plugin import Plugin\n\n\n@dataclass\nclass ConfigResult:\n    provider: str\n    path: str\n    config: Container\n    header: Dict[str, Optional[str]]\n    defaults_list: Optional[List[InputDefault]] = None\n    is_schema_source: bool = False\n\n\nclass ConfigLoadError(HydraException, IOError):\n    pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_assert_regex_match_assert_regex_match.for_line1_line2_in_zip_n.if_line1_line2_and_re_.assert_text_same_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_assert_regex_match_assert_regex_match.for_line1_line2_in_zip_n.if_line1_line2_and_re_.assert_text_same_", "embedding": null, "metadata": {"file_path": "hydra/test_utils/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 442, "end_line": 466, "span_ids": ["assert_regex_match"], "tokens": 260}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def assert_regex_match(\n    from_line: str, to_line: str, from_name: str = \"Expected\", to_name: str = \"Actual\"\n) -> None:\n    \"\"\"Check that the lines of `from_line` (which can be a regex expression)\n    matches the corresponding lines of `to_line` string.\n\n    In case the regex match fails, we display the diff as if `from_line` was a regular string.\n    \"\"\"\n    normalized_from_line = [x for x in normalize_newlines(from_line).split(\"\\n\") if x]\n    normalized_to_line = [x for x in normalize_newlines(to_line).split(\"\\n\") if x]\n    if len(normalized_from_line) != len(normalized_to_line):\n        assert_text_same(\n            from_line=from_line,\n            to_line=to_line,\n            from_name=from_name,\n            to_name=to_name,\n        )\n    for line1, line2 in zip(normalized_from_line, normalized_to_line):\n        if line1 != line2 and re.match(line1, line2) is None:\n            assert_text_same(\n                from_line=from_line,\n                to_line=to_line,\n                from_name=from_name,\n                to_name=to_name,\n            )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_assert_multiline_regex_search_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/test_utils/test_utils.py_assert_multiline_regex_search_", "embedding": null, "metadata": {"file_path": "hydra/test_utils/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 469, "end_line": 485, "span_ids": ["assert_multiline_regex_search"], "tokens": 161}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def assert_multiline_regex_search(\n    pattern: str, string: str, from_name: str = \"Expected\", to_name: str = \"Actual\"\n) -> None:\n    \"\"\"Check that `pattern` (which can be a regex expression)\n    matches the corresponding lines of `string` string.\n    In case the regex match fails, we display the diff as if `pattern` was a regular string.\n    \"\"\"\n    pattern = normalize_newlines(pattern)\n    string = normalize_newlines(string)\n    if re.search(pattern, string, flags=re.MULTILINE) is None:\n        print(\"\\n-------- PATTERN: -----------\")\n        print(pattern)\n        print(\"---------- STRING: ------------\")\n        print(string)\n        print(\"-------------------------------\")\n        assert False, \"Regex pattern did not match\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/types.py_from_dataclasses_import_d_RunMode.MULTIRUN.2": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/types.py_from_dataclasses_import_d_RunMode.MULTIRUN.2", "embedding": null, "metadata": {"file_path": "hydra/types.py", "file_name": "types.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 47, "span_ids": ["HydraContext", "TargetConf", "TargetConf.__post_init__", "docstring", "RunMode"], "tokens": 267}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\nfrom enum import Enum\nfrom typing import TYPE_CHECKING, Any, Callable\n\nfrom omegaconf import MISSING\n\nfrom hydra import version\n\nfrom ._internal.deprecation_warning import deprecation_warning\n\nTaskFunction = Callable[[Any], Any]\n\n\nif TYPE_CHECKING:\n    from hydra._internal.callbacks import Callbacks\n    from hydra.core.config_loader import ConfigLoader\n\n\n@dataclass\nclass HydraContext:\n    config_loader: \"ConfigLoader\"\n    callbacks: \"Callbacks\"\n\n\n@dataclass\nclass TargetConf:\n    \"\"\"\n    This class is going away in Hydra 1.2.\n    You should no longer extend it or annotate with it.\n    instantiate will work correctly if you pass in a DictConfig object or any dataclass that has the\n    _target_ attribute.\n    \"\"\"\n\n    _target_: str = MISSING\n\n    def __post_init__(self) -> None:\n        if version.base_at_least(\"1.2\"):\n            raise TypeError(\"TargetConf is unsupported since Hydra 1.2\")\n        else:\n            msg = \"\\nTargetConf is deprecated since Hydra 1.1 and will be removed in Hydra 1.2.\"\n            deprecation_warning(message=msg)\n\n\nclass RunMode(Enum):\n    RUN = 1\n    MULTIRUN = 2", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_legacy_hydra_overrides_from_primary_config_2_test_legacy_hydra_overrides_from_primary_config_2.None_2": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_legacy_hydra_overrides_from_primary_config_2_test_legacy_hydra_overrides_from_primary_config_2.None_2", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 788, "end_line": 831, "span_ids": ["test_legacy_hydra_overrides_from_primary_config_2"], "tokens": 287}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"legacy_override_hydra2\",\n            [],\n            DefaultsTreeNode(\n                node=VirtualRoot(),\n                children=[\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"hydra/config\"),\n                        children=[\n                            GroupDefault(group=\"help\", value=\"custom1\"),\n                            GroupDefault(group=\"output\", value=\"disabled\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"legacy_override_hydra2\"),\n                        children=[ConfigDefault(path=\"_self_\")],\n                    ),\n                ],\n            ),\n            id=\"legacy_override_hydra+external\",\n        ),\n    ],\n)\ndef test_legacy_hydra_overrides_from_primary_config_2(\n    config_name: str, overrides: List[str], expected: DefaultsTreeNode, recwarn: Any\n) -> None:\n    \"\"\"\n    Override two Hydra config groups using legacy notation\n    \"\"\"\n\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n        prepend_hydra=True,\n    )\n\n    assert len(recwarn) == 2\n    assert \"Invalid overriding of hydra/help:\" in recwarn.list[0].message.args[0]\n    assert \"Invalid overriding of hydra/output:\" in recwarn.list[1].message.args[0]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_experiment_where_primary_config_has_override_test_experiment_where_primary_config_has_override._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_experiment_where_primary_config_has_override_test_experiment_where_primary_config_has_override._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 1092, "end_line": 1135, "span_ids": ["test_experiment_where_primary_config_has_override"], "tokens": 246}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"override_hydra1\",\n            [\"+experiment=override_config_group\"],\n            DefaultsTreeNode(\n                node=VirtualRoot(),\n                children=[\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"hydra/config\"),\n                        children=[\n                            GroupDefault(group=\"help\", value=\"default\"),\n                            GroupDefault(group=\"output\", value=\"disabled\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"override_hydra1\"),\n                        children=[\n                            GroupDefault(group=\"group1\", value=\"file2\"),\n                            ConfigDefault(path=\"_self_\"),\n                            GroupDefault(\n                                group=\"experiment\", value=\"override_config_group\"\n                            ),\n                        ],\n                    ),\n                ],\n            ),\n            id=\"override_hydra_with_experiment\",\n        ),\n    ],\n)\ndef test_experiment_where_primary_config_has_override(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n        prepend_hydra=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_unicode_in_config/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_unicode_in_config/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_unicode_in_config/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_unicode_in_config/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_unicode_in_config/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_unicode_in_config/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 80}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/deprecation_warning/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/deprecation_warning/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/deprecation_warning/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 15, "span_ids": ["my_app", "impl", "docstring"], "tokens": 83}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\nfrom hydra._internal.deprecation_warning import deprecation_warning\n\n\n@hydra.main(version_base=None)\ndef my_app(cfg: DictConfig) -> None:\n    deprecation_warning(\"Feature FooBar is deprecated\")\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_TestCompose_test_top_level_config_is_list.with_raises_.compose_top_level_list_f": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_TestCompose_test_top_level_config_is_list.with_raises_.compose_top_level_list_f", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 65, "end_line": 108, "span_ids": ["TestCompose.test_strict_failure_global_strict", "TestCompose.test_compose_config", "TestCompose", "test_top_level_config_is_list"], "tokens": 358}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"initialize_hydra\")\n@mark.parametrize(\"config_path\", [\"../hydra/test_utils/configs\"])\n@mark.parametrize(\n    \"config_file, overrides, expected\",\n    [\n        (None, [], {}),\n        (None, [\"+foo=bar\"], {\"foo\": \"bar\"}),\n        (\"compose\", [], {\"foo\": 10, \"bar\": 100}),\n        (\"compose\", [\"group1=file2\"], {\"foo\": 20, \"bar\": 100}),\n        (None, [\"+top_level_list=file1\"], {\"top_level_list\": [\"a\"]}),\n        (\n            None,\n            [\"+top_level_list=file1\", \"top_level_list.0=b\"],\n            {\"top_level_list\": [\"b\"]},\n        ),\n    ],\n)\nclass TestCompose:\n    def test_compose_config(\n        self,\n        config_file: str,\n        overrides: List[str],\n        expected: Any,\n    ) -> None:\n        cfg = compose(config_file, overrides)\n        assert cfg == expected\n\n    def test_strict_failure_global_strict(\n        self, config_file: str, overrides: List[str], expected: Any\n    ) -> None:\n        # default strict True, call is unspecified\n        overrides.append(\"fooooooooo=bar\")\n        with raises(HydraException):\n            compose(config_file, overrides)\n\n\n@mark.usefixtures(\"initialize_hydra\")\n@mark.parametrize(\"config_path\", [\"../hydra/test_utils/configs\"])\ndef test_top_level_config_is_list() -> None:\n    with raises(\n        HydraException,\n        match=\"primary config 'top_level_list/file1' must be a DictConfig, got ListConfig\",\n    ):\n        compose(\"top_level_list/file1\", overrides=[])", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_error_assigning_null_to_logging_config_test_error_assigning_null_to_logging_config.with_expected_.compose_overrides_overrid": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_error_assigning_null_to_logging_config_test_error_assigning_null_to_logging_config.with_expected_.compose_overrides_overrid", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 636, "end_line": 662, "span_ids": ["test_error_assigning_null_to_logging_config"], "tokens": 162}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"initialize_hydra_no_path\")\n@mark.parametrize(\n    (\"overrides\", \"expected\"),\n    [\n        param(\n            [\"hydra.hydra_logging=null\"],\n            raises(\n                ConfigCompositionException,\n                match=\"Error merging override hydra.hydra_logging=null\",\n            ),\n            id=\"hydra.hydra_logging=null\",\n        ),\n        param(\n            [\"hydra.job_logging=null\"],\n            raises(\n                ConfigCompositionException,\n                match=\"Error merging override hydra.job_logging=null\",\n            ),\n            id=\"hydra.job_logging=null\",\n        ),\n    ],\n)\ndef test_error_assigning_null_to_logging_config(\n    hydra_restore_singletons: Any, overrides: List[str], expected: Any\n) -> None:\n    with expected:\n        compose(overrides=overrides)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_searchpath_config_test_searchpath_config.assert_re_match_expected_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_searchpath_config_test_searchpath_config.assert_re_match_expected_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 788, "end_line": 813, "span_ids": ["test_searchpath_config"], "tokens": 253}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"overrides,expected\",\n    [\n        param(\n            [\"--info\", \"searchpath\", \"hydra.searchpath=['pkg://additonal_conf']\"],\n            r\".*hydra.searchpath in command-line\\s+|\\s+pkg://additonal_conf.*\",\n            id=\"searchpath config from command-line\",\n        ),\n        param(\n            [\"--info\", \"searchpath\"],\n            r\".*hydra.searchpath in main\\s+|\\s+pkg://additonal_conf.*\",\n            id=\"print info with searchpath config\",\n        ),\n        param(\n            [\"--info\", \"all\", \"dataset=imagenet\"],\n            r\".*path:\\s+/datasets/imagenet\",\n            id=\"searchpath config from config file\",\n        ),\n    ],\n)\ndef test_searchpath_config(tmpdir: Path, overrides: List[str], expected: str) -> None:\n    cmd = [\"examples/advanced/config_search_path/my_app.py\"]\n    cmd.extend(overrides)\n    cmd.extend([\"hydra.run.dir=\" + str(tmpdir), \"hydra.job.chdir=True\"])\n    result, _err = run_python_script(cmd)\n    assert re.match(expected, result, re.DOTALL)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_frozen_primary_config_test_frozen_primary_config.assert_expected_in_ret": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_frozen_primary_config_test_frozen_primary_config.assert_expected_in_ret", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1468, "end_line": 1490, "span_ids": ["test_frozen_primary_config"], "tokens": 241}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"overrides,expected\",\n    [\n        ([\"--cfg\", \"job\", \"-p\", \"baud_rate\"], \"19200\"),\n        ([\"--cfg\", \"hydra\", \"-p\", \"hydra.job.name\"], \"frozen\"),\n        ([\"--cfg\", \"job\", \"--resolve\", \"-p\", \"baud_rate\"], \"19200\"),\n        ([\"--cfg\", \"hydra\", \"--resolve\", \"-p\", \"hydra.job.name\"], \"frozen\"),\n        ([\"--info\", \"config\"], \"baud_rate: 19200\"),\n        ([\"--hydra-help\"], \"== Flags ==\"),\n        ([\"--help\"], \"frozen is powered by Hydra.\"),\n    ],\n)\ndef test_frozen_primary_config(\n    tmpdir: Path, overrides: List[str], expected: str\n) -> None:\n    cmd = [\n        \"examples/patterns/write_protect_config_node/frozen.py\",\n        f\"hydra.run.dir={tmpdir}\",\n        \"hydra.job.chdir=True\",\n    ]\n    cmd.extend(overrides)\n    ret, _err = run_python_script(cmd)\n    assert expected in ret", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_utils.py_test_to_absolute_path_without_hydra_test_to_absolute_path_without_hydra.assert_utils_to_absolute_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_utils.py_test_to_absolute_path_without_hydra_test_to_absolute_path_without_hydra.assert_utils_to_absolute_", "embedding": null, "metadata": {"file_path": "tests/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 51, "end_line": 65, "span_ids": ["test_to_absolute_path_without_hydra"], "tokens": 120}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"path, expected\",\n    [\n        (\"foo/bar\", f\"{os.getcwd()}/foo/bar\"),\n        (\"foo/bar\", f\"{os.getcwd()}/foo/bar\"),\n        (\"/foo/bar\", os.path.abspath(\"/foo/bar\")),\n    ],\n)\ndef test_to_absolute_path_without_hydra(\n    hydra_restore_singletons: Any, path: str, expected: str\n) -> None:\n    # normalize paths to current OS\n    path = str(Path(path))\n    expected = str(Path(expected).absolute())\n    assert utils.to_absolute_path(path) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__validate_self__validate_self.return.not_has_self": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__validate_self__validate_self.return.not_has_self", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 223, "end_line": 254, "span_ids": ["_validate_self"], "tokens": 296}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _validate_self(\n    containing_node: InputDefault,\n    defaults: List[InputDefault],\n    has_config_content: bool,\n) -> bool:\n    # check that self is present only once\n    has_self = False\n    has_non_override = False\n    for d in defaults:\n        if not d.is_override():\n            has_non_override = True\n        if d.is_self():\n            if has_self:\n                raise ConfigCompositionException(\n                    f\"Duplicate _self_ defined in {containing_node.get_config_path()}\"\n                )\n            has_self = True\n\n    if not has_self and has_non_override or len(defaults) == 0:\n        # This check is here to make the migration from Hydra 1.0 to Hydra 1.1 smoother and should be removed in 1.2\n        # The warning should be removed in 1.2\n        if containing_node.primary and has_config_content and has_non_override:\n            msg = (\n                f\"In '{containing_node.get_config_path()}': Defaults list is missing `_self_`. \"\n                f\"See https://hydra.cc/docs/upgrades/1.0_to_1.1/default_composition_order for more information\"\n            )\n            if os.environ.get(\"SELF_WARNING_AS_ERROR\") == \"1\":\n                raise ConfigCompositionException(msg)\n            warnings.warn(msg, UserWarning)\n        defaults.append(ConfigDefault(path=\"_self_\"))\n\n    return not has_self", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py_update_package_header__expand_virtual_root.return.root": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py_update_package_header__expand_virtual_root.return.root", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 257, "end_line": 296, "span_ids": ["update_package_header", "_expand_virtual_root"], "tokens": 271}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def update_package_header(repo: IConfigRepository, node: InputDefault) -> None:\n    if node.is_missing():\n        return\n    # This loads the same config loaded in _create_defaults_tree\n    # To avoid loading it twice, the repo implementation is expected to cache loaded configs\n    loaded = repo.load_config(config_path=node.get_config_path())\n    if loaded is not None:\n        node.set_package_header(loaded.header[\"package\"])\n\n\ndef _expand_virtual_root(\n    repo: IConfigRepository,\n    root: DefaultsTreeNode,\n    overrides: Overrides,\n    skip_missing: bool,\n) -> DefaultsTreeNode:\n    children: List[Union[DefaultsTreeNode, InputDefault]] = []\n    assert root.children is not None\n    for d in reversed(root.children):\n        assert isinstance(d, InputDefault)\n        new_root = DefaultsTreeNode(node=d, parent=root)\n        d.update_parent(\"\", \"\")\n\n        subtree = _create_defaults_tree_impl(\n            repo=repo,\n            root=new_root,\n            is_root_config=d.primary,\n            skip_missing=skip_missing,\n            interpolated_subtree=False,\n            overrides=overrides,\n        )\n        if subtree.children is None:\n            children.append(d)\n        else:\n            children.append(subtree)\n\n    if len(children) > 0:\n        root.children = list(reversed(children))\n\n    return root", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__has_config_content__create_defaults_tree_impl._update_overrides_default": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/defaults_list.py__has_config_content__create_defaults_tree_impl._update_overrides_default", "embedding": null, "metadata": {"file_path": "hydra/_internal/defaults_list.py", "file_name": "defaults_list.py", "file_type": "text/x-python", "category": "implementation", "start_line": 433, "end_line": 512, "span_ids": ["_create_defaults_tree_impl", "_has_config_content"], "tokens": 504}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _has_config_content(cfg: DictConfig) -> bool:\n    if cfg._is_none() or cfg._is_missing():\n        return False\n\n    for key in cfg.keys():\n        if not OmegaConf.is_missing(cfg, key) and key != \"defaults\":\n            return True\n    return False\n\n\ndef _create_defaults_tree_impl(\n    repo: IConfigRepository,\n    root: DefaultsTreeNode,\n    is_root_config: bool,\n    skip_missing: bool,\n    interpolated_subtree: bool,\n    overrides: Overrides,\n) -> DefaultsTreeNode:\n    parent = root.node\n    children: List[Union[InputDefault, DefaultsTreeNode]] = []\n    if parent.is_virtual():\n        if is_root_config:\n            return _expand_virtual_root(repo, root, overrides, skip_missing)\n        else:\n            return root\n\n    if is_root_config:\n        root.node.update_parent(\"\", \"\")\n        if not repo.config_exists(root.node.get_config_path()):\n            config_not_found_error(repo=repo, tree=root)\n\n    update_package_header(repo=repo, node=parent)\n\n    if overrides.is_deleted(parent):\n        overrides.delete(parent)\n        return root\n\n    overrides.set_known_choice(parent)\n\n    if parent.get_name() is None:\n        return root\n\n    if _check_not_missing(repo=repo, default=parent, skip_missing=skip_missing):\n        return root\n\n    path = parent.get_config_path()\n    loaded = repo.load_config(config_path=path)\n\n    if loaded is None:\n        if parent.is_optional():\n            assert isinstance(parent, (GroupDefault, ConfigDefault))\n            parent.deleted = True\n            return root\n        config_not_found_error(repo=repo, tree=root)\n\n    assert loaded is not None\n    defaults_list = copy.deepcopy(loaded.defaults_list)\n    if defaults_list is None:\n        defaults_list = []\n\n    self_added = False\n    if (\n        len(defaults_list) > 0\n        or is_root_config\n        and len(overrides.append_group_defaults) > 0\n    ):\n        has_config_content = isinstance(\n            loaded.config, DictConfig\n        ) and _has_config_content(loaded.config)\n\n        self_added = _validate_self(\n            containing_node=parent,\n            defaults=defaults_list,\n            has_config_content=has_config_content,\n        )\n\n    if is_root_config:\n        defaults_list.extend(overrides.append_group_defaults)\n\n    _update_overrides(defaults_list, overrides, parent, interpolated_subtree)\n    # ... other code", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/config.py_OptimConf_OptimConf.max_failure_rate.0_0": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/config.py_OptimConf_OptimConf.max_failure_rate.0_0", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/hydra_plugins/hydra_nevergrad_sweeper/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 36, "end_line": 67, "span_ids": ["OptimConf"], "tokens": 273}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass OptimConf:\n\n    # name of the Nevergrad optimizer to use. Here is a sample:\n    #   - \"OnePlusOne\" extremely simple and robust, especially at low budget, but\n    #     tends to converge early.\n    #   - \"CMA\" very good algorithm, but may require a significant budget (> 120)\n    #   - \"TwoPointsDE\": an algorithm good in a wide range of settings, for significant\n    #     budgets (> 120).\n    #   - \"NGOpt\" an algorithm aiming at identifying the best optimizer given your input\n    #     definition (updated regularly)\n    # find out more within nevergrad's documentation:\n    # https://github.com/facebookresearch/nevergrad/\n    optimizer: str = \"NGOpt\"\n\n    # total number of function evaluations to perform\n    budget: int = 80\n\n    # number of parallel workers for performing function evaluations\n    num_workers: int = 10\n\n    # set to true if the function evaluations are noisy\n    noisy: bool = False\n\n    # set to true for performing maximization instead of minimization\n    maximize: bool = False\n\n    # optimization seed, for reproducibility\n    seed: Optional[int] = None\n    max_failure_rate: float = 0.0", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/tests/test_nevergrad_sweeper_plugin.py_sys_get_scalar_with_integer_bounds.return.scalar": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/tests/test_nevergrad_sweeper_plugin.py_sys_get_scalar_with_integer_bounds.return.scalar", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/tests/test_nevergrad_sweeper_plugin.py", "file_name": "test_nevergrad_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 46, "span_ids": ["get_scalar_with_integer_bounds", "assert_ng_param_equals", "test_discovery", "docstring"], "tokens": 346}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import sys\nfrom pathlib import Path\nfrom typing import Any\n\nimport nevergrad as ng\nfrom hydra.core.override_parser.overrides_parser import OverridesParser\nfrom hydra.core.plugins import Plugins\nfrom hydra.plugins.sweeper import Sweeper\nfrom hydra.test_utils.test_utils import (\n    TSweepRunner,\n    chdir_plugin_root,\n    run_process,\n    run_python_script,\n)\nfrom omegaconf import DictConfig, OmegaConf\nfrom pytest import mark\n\nfrom hydra_plugins.hydra_nevergrad_sweeper import _impl\nfrom hydra_plugins.hydra_nevergrad_sweeper.nevergrad_sweeper import NevergradSweeper\n\nchdir_plugin_root()\n\n\ndef test_discovery() -> None:\n    assert NevergradSweeper.__name__ in [\n        x.__name__ for x in Plugins.instance().discover(Sweeper)\n    ]\n\n\ndef assert_ng_param_equals(expected: Any, actual: Any) -> None:\n    assert type(expected) == type(actual)\n    if isinstance(actual, ng.p.Choice) or isinstance(actual, ng.p.TransitionChoice):\n        assert sorted(expected.choices.value) == sorted(actual.choices.value)\n    elif isinstance(actual, ng.p.Log) or isinstance(actual, ng.p.Scalar):\n        assert expected.bounds == actual.bounds\n        assert expected.integer == actual.integer\n    else:\n        assert False, f\"Unexpected type: {type(actual)}\"\n\n\ndef get_scalar_with_integer_bounds(lower: int, upper: int, type: Any) -> ng.p.Scalar:\n    scalar = type(lower=lower, upper=upper)\n    scalar.set_integer_casting()\n    assert isinstance(scalar, ng.p.Scalar)\n    return scalar", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/tests/test_nevergrad_sweeper_plugin.py_test_nevergrad_example_test_nevergrad_example.assert_last_job_budget": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/tests/test_nevergrad_sweeper_plugin.py_test_nevergrad_example_test_nevergrad_example.assert_last_job_budget", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/tests/test_nevergrad_sweeper_plugin.py", "file_name": "test_nevergrad_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 130, "end_line": 160, "span_ids": ["test_nevergrad_example"], "tokens": 355}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"with_commandline\", (True, False))\ndef test_nevergrad_example(with_commandline: bool, tmpdir: Path) -> None:\n    budget = 32 if with_commandline else 1  # make a full test only once (faster)\n    cmd = [\n        \"example/my_app.py\",\n        \"-m\",\n        \"hydra.sweep.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        f\"hydra.sweeper.optim.budget={budget}\",  # small budget to test fast\n        f\"hydra.sweeper.optim.num_workers={min(8, budget)}\",\n        \"hydra.sweeper.optim.seed=12\",  # avoid random failures\n    ]\n    if with_commandline:\n        cmd += [\n            \"db=mnist,cifar\",\n            \"batch_size=4,8,12,16\",\n            \"lr=tag(log, interval(0.001, 1.0))\",\n            \"dropout=interval(0,1)\",\n        ]\n    run_python_script(cmd)\n    returns = OmegaConf.load(f\"{tmpdir}/optimization_results.yaml\")\n    assert isinstance(returns, DictConfig)\n    assert returns.name == \"nevergrad\"\n    assert len(returns) == 3\n    best_parameters = returns.best_evaluated_params\n    assert not best_parameters.dropout.is_integer()\n    if budget > 1:\n        assert best_parameters.batch_size == 4  # this argument should be easy to find\n    # check that all job folders are created\n    last_job = max(int(fp.name) for fp in Path(tmpdir).iterdir() if fp.name.isdigit())\n    assert last_job == budget - 1", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/tests/test_nevergrad_sweeper_plugin.py_test_failure_rate_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/tests/test_nevergrad_sweeper_plugin.py_test_failure_rate_", "embedding": null, "metadata": {"file_path": "plugins/hydra_nevergrad_sweeper/tests/test_nevergrad_sweeper_plugin.py", "file_name": "test_nevergrad_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 162, "end_line": 181, "span_ids": ["test_failure_rate"], "tokens": 196}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"max_failure_rate\", (0.5, 1.0))\ndef test_failure_rate(max_failure_rate: float, tmpdir: Path) -> None:\n    cmd = [\n        sys.executable,\n        \"example/my_app.py\",\n        \"-m\",\n        f\"hydra.sweep.dir={tmpdir}\",\n        \"hydra.sweeper.optim.budget=2\",  # small budget to test fast\n        \"hydra.sweeper.optim.num_workers=2\",\n        f\"hydra.sweeper.optim.max_failure_rate={max_failure_rate}\",\n        \"error=true\",\n    ]\n    out, err = run_process(cmd, print_error=False, raise_exception=False)\n    assert \"Returning infinity for failed experiment\" in out\n    error_string = \"RuntimeError: cfg.error is True\"\n    if max_failure_rate < 1.0:\n        assert error_string in err\n    else:\n        assert error_string not in err", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_os_check_distribution.assert_set_expected_choic": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_os_check_distribution.assert_set_expected_choic", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py", "file_name": "test_optuna_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 52, "span_ids": ["test_discovery", "check_distribution", "docstring"], "tokens": 346}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import os\nimport sys\nfrom functools import partial\nfrom pathlib import Path\nfrom typing import Any, List, Optional\n\nimport optuna\nfrom hydra.core.override_parser.overrides_parser import OverridesParser\nfrom hydra.core.plugins import Plugins\nfrom hydra.plugins.sweeper import Sweeper\nfrom hydra.test_utils.test_utils import (\n    TSweepRunner,\n    chdir_plugin_root,\n    run_process,\n    run_python_script,\n)\nfrom omegaconf import DictConfig, OmegaConf\nfrom optuna.distributions import (\n    BaseDistribution,\n    CategoricalDistribution,\n    DiscreteUniformDistribution,\n    IntLogUniformDistribution,\n    IntUniformDistribution,\n    LogUniformDistribution,\n    UniformDistribution,\n)\nfrom optuna.samplers import RandomSampler\nfrom pytest import mark, warns\n\nfrom hydra_plugins.hydra_optuna_sweeper import _impl\nfrom hydra_plugins.hydra_optuna_sweeper._impl import OptunaSweeperImpl\nfrom hydra_plugins.hydra_optuna_sweeper.config import Direction\nfrom hydra_plugins.hydra_optuna_sweeper.optuna_sweeper import OptunaSweeper\n\nchdir_plugin_root()\n\n\ndef test_discovery() -> None:\n    assert OptunaSweeper.__name__ in [\n        x.__name__ for x in Plugins.instance().discover(Sweeper)\n    ]\n\n\ndef check_distribution(expected: BaseDistribution, actual: BaseDistribution) -> None:\n    if not isinstance(expected, CategoricalDistribution):\n        assert expected == actual\n        return\n\n    assert isinstance(actual, CategoricalDistribution)\n    # shuffle() will randomize the order of items in choices.\n    assert set(expected.choices) == set(actual.choices)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_test_create_optuna_distribution_from_config_test_create_optuna_distribution_from_config.check_distribution_expect": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_test_create_optuna_distribution_from_config_test_create_optuna_distribution_from_config.check_distribution_expect", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py", "file_name": "test_optuna_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 49, "end_line": 79, "span_ids": ["test_create_optuna_distribution_from_config"], "tokens": 340}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"input, expected\",\n    [\n        (\n            {\"type\": \"categorical\", \"choices\": [1, 2, 3]},\n            CategoricalDistribution([1, 2, 3]),\n        ),\n        ({\"type\": \"int\", \"low\": 0, \"high\": 10}, IntUniformDistribution(0, 10)),\n        (\n            {\"type\": \"int\", \"low\": 0, \"high\": 10, \"step\": 2},\n            IntUniformDistribution(0, 10, step=2),\n        ),\n        ({\"type\": \"int\", \"low\": 0, \"high\": 5}, IntUniformDistribution(0, 5)),\n        (\n            {\"type\": \"int\", \"low\": 1, \"high\": 100, \"log\": True},\n            IntLogUniformDistribution(1, 100),\n        ),\n        ({\"type\": \"float\", \"low\": 0, \"high\": 1}, UniformDistribution(0, 1)),\n        (\n            {\"type\": \"float\", \"low\": 0, \"high\": 10, \"step\": 2},\n            DiscreteUniformDistribution(0, 10, 2),\n        ),\n        (\n            {\"type\": \"float\", \"low\": 1, \"high\": 100, \"log\": True},\n            LogUniformDistribution(1, 100),\n        ),\n    ],\n)\ndef test_create_optuna_distribution_from_config(input: Any, expected: Any) -> None:\n    actual = _impl.create_optuna_distribution_from_config(input)\n    check_distribution(expected, actual)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_test_create_optuna_distribution_from_override_test_create_optuna_distribution_from_override.check_distribution_expect": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_test_create_optuna_distribution_from_override_test_create_optuna_distribution_from_override.check_distribution_expect", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py", "file_name": "test_optuna_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 87, "end_line": 106, "span_ids": ["test_create_optuna_distribution_from_override"], "tokens": 297}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"input, expected\",\n    [\n        (\"key=choice(1,2)\", CategoricalDistribution([1, 2])),\n        (\"key=choice(true, false)\", CategoricalDistribution([True, False])),\n        (\"key=choice('hello', 'world')\", CategoricalDistribution([\"hello\", \"world\"])),\n        (\"key=shuffle(range(1,3))\", CategoricalDistribution((1, 2))),\n        (\"key=range(1,3)\", IntUniformDistribution(1, 3)),\n        (\"key=interval(1, 5)\", UniformDistribution(1, 5)),\n        (\"key=int(interval(1, 5))\", IntUniformDistribution(1, 5)),\n        (\"key=tag(log, interval(1, 5))\", LogUniformDistribution(1, 5)),\n        (\"key=tag(log, int(interval(1, 5)))\", IntLogUniformDistribution(1, 5)),\n        (\"key=range(0.5, 5.5, step=1)\", DiscreteUniformDistribution(0.5, 5.5, 1)),\n    ],\n)\ndef test_create_optuna_distribution_from_override(input: Any, expected: Any) -> None:\n    parser = OverridesParser.create()\n    parsed = parser.parse_overrides([input])[0]\n    actual = _impl.create_optuna_distribution_from_override(parsed)\n    check_distribution(expected, actual)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_test_launch_jobs_test_launch_jobs.with_sweep_.assert_sweep_returns_is_N": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_test_launch_jobs_test_launch_jobs.with_sweep_.assert_sweep_returns_is_N", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py", "file_name": "test_optuna_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 103, "end_line": 118, "span_ids": ["test_launch_jobs"], "tokens": 123}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_launch_jobs(hydra_sweep_runner: TSweepRunner) -> None:\n    sweep = hydra_sweep_runner(\n        calling_file=None,\n        calling_module=\"hydra.test_utils.a_module\",\n        config_path=\"configs\",\n        config_name=\"compose.yaml\",\n        task_function=None,\n        overrides=[\n            \"hydra/sweeper=optuna\",\n            \"hydra/launcher=basic\",\n            \"hydra.sweeper.n_trials=8\",\n            \"hydra.sweeper.n_jobs=3\",\n        ],\n    )\n    with sweep:\n        assert sweep.returns is None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_test_optuna_example_test_optuna_example.None_4": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_test_optuna_example_test_optuna_example.None_4", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py", "file_name": "test_optuna_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 153, "end_line": 192, "span_ids": ["test_optuna_example"], "tokens": 440}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"with_commandline\", (True, False))\ndef test_optuna_example(with_commandline: bool, tmpdir: Path) -> None:\n    storage = \"sqlite:///\" + os.path.join(str(tmpdir), \"test.db\")\n    study_name = \"test-optuna-example\"\n    cmd = [\n        \"example/sphere.py\",\n        \"--multirun\",\n        \"hydra.sweep.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"hydra.sweeper.n_trials=20\",\n        \"hydra.sweeper.n_jobs=1\",\n        f\"hydra.sweeper.storage={storage}\",\n        f\"hydra.sweeper.study_name={study_name}\",\n        \"hydra/sweeper/sampler=tpe\",\n        \"hydra.sweeper.sampler.seed=123\",\n        \"~z\",\n    ]\n    if with_commandline:\n        cmd += [\n            \"x=choice(0, 1, 2)\",\n            \"y=0\",  # Fixed parameter\n        ]\n    run_python_script(cmd)\n    returns = OmegaConf.load(f\"{tmpdir}/optimization_results.yaml\")\n    study = optuna.load_study(storage=storage, study_name=study_name)\n    best_trial = study.best_trial\n    assert isinstance(returns, DictConfig)\n    assert returns.name == \"optuna\"\n    assert returns[\"best_params\"][\"x\"] == best_trial.params[\"x\"]\n    if with_commandline:\n        assert \"y\" not in returns[\"best_params\"]\n        assert \"y\" not in best_trial.params\n    else:\n        assert returns[\"best_params\"][\"y\"] == best_trial.params[\"y\"]\n    assert returns[\"best_value\"] == best_trial.value\n    # Check the search performance of the TPE sampler.\n    # The threshold is the 95th percentile calculated with 1000 different seed values\n    # to make the test robust against the detailed implementation of the sampler.\n    # See https://github.com/facebookresearch/hydra/pull/1746#discussion_r681549830.\n    assert returns[\"best_value\"] <= 2.27", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_utils.py_io_test_get_original_cwd_without_hydra.with_raises_ValueError_.utils_get_original_cwd_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_utils.py_io_test_get_original_cwd_without_hydra.with_raises_ValueError_.utils_get_original_cwd_", "embedding": null, "metadata": {"file_path": "tests/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 32, "span_ids": ["test_get_original_cwd", "test_get_original_cwd_without_hydra", "docstring"], "tokens": 241}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import io\nimport os\nimport re\nfrom pathlib import Path\nfrom textwrap import dedent\nfrom typing import Any, Optional\nfrom unittest.mock import patch\n\nfrom omegaconf import DictConfig, OmegaConf\nfrom pytest import mark, param, raises, warns\n\nfrom hydra import utils\nfrom hydra._internal.deprecation_warning import deprecation_warning\nfrom hydra._internal.utils import run_and_report\nfrom hydra.conf import HydraConf, RuntimeConf\nfrom hydra.core.hydra_config import HydraConfig\nfrom hydra.errors import HydraDeprecationError\nfrom hydra.test_utils.test_utils import assert_regex_match\n\n\ndef test_get_original_cwd(hydra_restore_singletons: Any) -> None:\n    orig = \"/foo/AClass\"\n    cfg = OmegaConf.create({\"hydra\": HydraConf(runtime=RuntimeConf(cwd=orig))})\n    assert isinstance(cfg, DictConfig)\n    HydraConfig.instance().set_config(cfg)\n    assert utils.get_original_cwd() == orig\n\n\ndef test_get_original_cwd_without_hydra(hydra_restore_singletons: Any) -> None:\n    with raises(ValueError):\n        utils.get_original_cwd()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_utils.py_test_deprecation_warning_test_deprecation_warning.if_expected_error_.else_.with_warns_UserWarning_m.deprecation_warning_msg_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_utils.py_test_deprecation_warning_test_deprecation_warning.if_expected_error_.else_.with_warns_UserWarning_m.deprecation_warning_msg_", "embedding": null, "metadata": {"file_path": "tests/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 73, "end_line": 92, "span_ids": ["test_deprecation_warning"], "tokens": 161}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"env_setting,expected_error\",\n    [\n        param(None, False, id=\"env_unset\"),\n        param(\"\", False, id=\"env_empty\"),\n        param(\"1\", True, id=\"env_set\"),\n    ],\n)\ndef test_deprecation_warning(\n    monkeypatch: Any, env_setting: Optional[str], expected_error: bool\n) -> None:\n    msg = \"Feature FooBar is deprecated\"\n    if env_setting is not None:\n        monkeypatch.setenv(\"HYDRA_DEPRECATION_WARNINGS_AS_ERRORS\", env_setting)\n    if expected_error:\n        with raises(HydraDeprecationError, match=re.escape(msg)):\n            deprecation_warning(msg)\n    else:\n        with warns(UserWarning, match=re.escape(msg)):\n            deprecation_warning(msg)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_utils.py_TestRunAndReport_TestRunAndReport._": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_utils.py_TestRunAndReport_TestRunAndReport._", "embedding": null, "metadata": {"file_path": "tests/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 95, "end_line": 110, "span_ids": ["TestRunAndReport"], "tokens": 134}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class TestRunAndReport:\n    \"\"\"\n    Test the `hydra._internal.utils.run_and_report` function.\n\n    def run_and_report(func: Any) -> Any: ...\n\n    This class defines several test methods:\n      test_success:\n          a simple test case where `run_and_report(func)` succeeds.\n      test_failure:\n          test when `func` raises an exception, and `run_and_report(func)`\n          prints a nicely-formatted error message\n      test_simplified_traceback_failure:\n          test when printing a nicely-formatted error message fails, so\n          `run_and_report` falls back to re-raising the exception from `func`.\n    \"\"\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_utils.py_TestRunAndReport.DemoFunctions_TestRunAndReport.DemoFunctions.run_job_wrapper.run_job_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_utils.py_TestRunAndReport.DemoFunctions_TestRunAndReport.DemoFunctions.run_job_wrapper.run_job_", "embedding": null, "metadata": {"file_path": "tests/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 112, "end_line": 140, "span_ids": ["TestRunAndReport.DemoFunctions.simple_error", "TestRunAndReport.DemoFunctions.success_func", "TestRunAndReport.DemoFunctions.run_job_wrapper", "TestRunAndReport.DemoFunctions"], "tokens": 162}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class TestRunAndReport:\n\n    class DemoFunctions:\n        \"\"\"\n        The methods of this `DemoFunctions` class are passed to\n        `run_and_report` as the func argument.\n        \"\"\"\n\n        @staticmethod\n        def success_func() -> Any:\n            return 123\n\n        @staticmethod\n        def simple_error() -> None:\n            assert False, \"simple_err_msg\"\n\n        @staticmethod\n        def run_job_wrapper() -> None:\n            \"\"\"\n            Trigger special logic in `run_and_report` that looks for a function\n            called \"run_job\" in the stack and strips away the leading stack\n            frames.\n            \"\"\"\n\n            def run_job() -> None:\n                def nested_error() -> None:\n                    assert False, \"nested_err\"\n\n                nested_error()\n\n            run_job()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_utils.py_TestRunAndReport.DemoFunctions.omegaconf_job_wrapper_TestRunAndReport.test_success.assert_run_and_report_sel": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_utils.py_TestRunAndReport.DemoFunctions.omegaconf_job_wrapper_TestRunAndReport.test_success.assert_run_and_report_sel", "embedding": null, "metadata": {"file_path": "tests/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 142, "end_line": 162, "span_ids": ["TestRunAndReport.DemoFunctions.omegaconf_job_wrapper", "TestRunAndReport.test_success"], "tokens": 148}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class TestRunAndReport:\n\n    class DemoFunctions:\n\n        @staticmethod\n        def omegaconf_job_wrapper() -> None:\n            \"\"\"\n            Trigger special logic in `run_and_report` that looks for the\n            `omegaconf` module in the stack and strips away the bottom stack\n            frames.\n            \"\"\"\n\n            def run_job() -> None:\n                def job_calling_omconf() -> None:\n                    from omegaconf import OmegaConf\n\n                    # The below causes an exception:\n                    OmegaConf.resolve(123)  # type: ignore\n\n                job_calling_omconf()\n\n            run_job()\n\n    def test_success(self) -> None:\n        assert run_and_report(self.DemoFunctions.success_func) == 123", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_utils.py_TestRunAndReport.test_failure_TestRunAndReport.test_failure.assert_regex_match_expect": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_utils.py_TestRunAndReport.test_failure_TestRunAndReport.test_failure.assert_regex_match_expect", "embedding": null, "metadata": {"file_path": "tests/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 164, "end_line": 217, "span_ids": ["TestRunAndReport.test_failure"], "tokens": 423}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class TestRunAndReport:\n\n    @mark.parametrize(\n        \"demo_func, expected_traceback_regex\",\n        [\n            param(\n                DemoFunctions.simple_error,\n                dedent(\n                    r\"\"\"\n                    Traceback \\(most recent call last\\):$\n                      File \"[^\"]+\", line \\d+, in run_and_report$\n                        return func\\(\\)$\n                      File \"[^\"]+\", line \\d+, in simple_error$\n                        assert False, \"simple_err_msg\"$\n                    AssertionError: simple_err_msg$\n                    assert False$\n                    \"\"\"\n                ),\n                id=\"simple_failure_full_traceback\",\n            ),\n            param(\n                DemoFunctions.run_job_wrapper,\n                dedent(\n                    r\"\"\"\n                    Traceback \\(most recent call last\\):$\n                      File \"[^\"]+\", line \\d+, in nested_error$\n                        assert False, \"nested_err\"$\n                    AssertionError: nested_err$\n                    assert False$\n                    Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace\\.$\n                    \"\"\"\n                ),\n                id=\"strip_run_job_from_top_of_stack\",\n            ),\n            param(\n                DemoFunctions.omegaconf_job_wrapper,\n                dedent(\n                    r\"\"\"\n                    Traceback \\(most recent call last\\):$\n                      File \"[^\"]+\", line \\d+, in job_calling_omconf$\n                        OmegaConf.resolve\\(123\\)  # type: ignore$\n                    ValueError: Invalid config type \\(int\\), expected an OmegaConf Container$\n                    Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace\\.$\n                    \"\"\"\n                ),\n                id=\"strip_omegaconf_from_bottom_of_stack\",\n            ),\n        ],\n    )\n    def test_failure(self, demo_func: Any, expected_traceback_regex: str) -> None:\n        mock_stderr = io.StringIO()\n        with raises(SystemExit, match=\"1\"), patch(\"sys.stderr\", new=mock_stderr):\n            run_and_report(demo_func)\n        mock_stderr.seek(0)\n        stderr_output = mock_stderr.read()\n        assert_regex_match(expected_traceback_regex, stderr_output)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_utils.py_TestRunAndReport.test_simplified_traceback_failure_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_utils.py_TestRunAndReport.test_simplified_traceback_failure_", "embedding": null, "metadata": {"file_path": "tests/test_utils.py", "file_name": "test_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 219, "end_line": 242, "span_ids": ["TestRunAndReport.test_simplified_traceback_failure"], "tokens": 205}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class TestRunAndReport:\n\n    def test_simplified_traceback_failure(self) -> None:\n        \"\"\"\n        Test that a warning is printed and the original exception is re-raised\n        when an exception occurs during the simplified traceback logic.\n        \"\"\"\n        demo_func = self.DemoFunctions.run_job_wrapper\n        expected_traceback_regex = dedent(\n            r\"\"\"\n            An error occurred during Hydra's exception formatting:$\n            AssertionError\\(.*\\)$\n            \"\"\"\n        )\n        mock_stderr = io.StringIO()\n        with raises(AssertionError, match=\"nested_err\"), patch(\n            \"sys.stderr\", new=mock_stderr\n        ):\n            # patch `inspect.getmodule` so that an exception will occur in the\n            # simplified traceback logic:\n            with patch(\"inspect.getmodule\", new=lambda *args: None):\n                run_and_report(demo_func)\n        mock_stderr.seek(0)\n        stderr_output = mock_stderr.read()\n        assert_regex_match(expected_traceback_regex, stderr_output)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl._compose_config_from_defaults_list_ConfigLoaderImpl._compose_config_from_defaults_list.return.cfg": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl._compose_config_from_defaults_list_ConfigLoaderImpl._compose_config_from_defaults_list.return.cfg", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_loader_impl.py", "file_name": "config_loader_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 508, "end_line": 539, "span_ids": ["ConfigLoaderImpl._compose_config_from_defaults_list"], "tokens": 272}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigLoaderImpl(ConfigLoader):\n\n    def _compose_config_from_defaults_list(\n        self,\n        defaults: List[ResultDefault],\n        repo: IConfigRepository,\n    ) -> DictConfig:\n        cfg = OmegaConf.create()\n        with flag_override(cfg, \"no_deepcopy_set_nodes\", True):\n            for default in defaults:\n                loaded = self._load_single_config(default=default, repo=repo)\n                try:\n                    cfg.merge_with(loaded.config)\n                except OmegaConfBaseException as e:\n                    raise ConfigCompositionException(\n                        f\"In '{default.config_path}': {type(e).__name__} raised while composing config:\\n{e}\"\n                    ).with_traceback(sys.exc_info()[2])\n\n        # # remove remaining defaults lists from all nodes.\n        def strip_defaults(cfg: Any) -> None:\n            if isinstance(cfg, DictConfig):\n                if cfg._is_missing() or cfg._is_none():\n                    return\n                with flag_override(cfg, [\"readonly\", \"struct\"], False):\n                    if cfg._get_flag(\"HYDRA_REMOVE_TOP_LEVEL_DEFAULTS\"):\n                        cfg._set_flag(\"HYDRA_REMOVE_TOP_LEVEL_DEFAULTS\", None)\n                        cfg.pop(\"defaults\", None)\n\n                for _key, value in cfg.items_ex(resolve=False):\n                    strip_defaults(value)\n\n        strip_defaults(cfg)\n\n        return cfg", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl.get_sources_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/config_loader_impl.py_ConfigLoaderImpl.get_sources_", "embedding": null, "metadata": {"file_path": "hydra/_internal/config_loader_impl.py", "file_name": "config_loader_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 542, "end_line": 578, "span_ids": ["get_overrides_dirname", "ConfigLoaderImpl.compute_defaults_list", "ConfigLoaderImpl.get_sources"], "tokens": 263}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ConfigLoaderImpl(ConfigLoader):\n\n    def get_sources(self) -> List[ConfigSource]:\n        return self.repository.get_sources()\n\n    def compute_defaults_list(\n        self,\n        config_name: Optional[str],\n        overrides: List[str],\n        run_mode: RunMode,\n    ) -> DefaultsList:\n        parser = OverridesParser.create()\n        parsed_overrides = parser.parse_overrides(overrides=overrides)\n        repo = CachingConfigRepository(self.repository)\n        self._process_config_searchpath(config_name, parsed_overrides, repo)\n        defaults_list = create_defaults_list(\n            repo=repo,\n            config_name=config_name,\n            overrides_list=parsed_overrides,\n            prepend_hydra=True,\n            skip_missing=run_mode == RunMode.MULTIRUN,\n        )\n        return defaults_list\n\n\ndef get_overrides_dirname(\n    overrides: List[Override], exclude_keys: List[str], item_sep: str, kv_sep: str\n) -> str:\n    lines = []\n    for override in overrides:\n        if override.key_or_group not in exclude_keys:\n            line = override.input_line\n            assert line is not None\n            lines.append(line)\n\n    lines.sort()\n    ret = re.sub(pattern=\"[=]\", repl=kv_sep, string=item_sep.join(lines))\n    return ret", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_InputDefault._resolve_interpolation_impl_InputDefault._resolve_interpolation_impl.try_.except_InterpolationResol.raise_ConfigCompositionEx": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_InputDefault._resolve_interpolation_impl_InputDefault._resolve_interpolation_impl.try_.except_InterpolationResol.raise_ConfigCompositionEx", "embedding": null, "metadata": {"file_path": "hydra/core/default_element.py", "file_name": "default_element.py", "file_type": "text/x-python", "category": "implementation", "start_line": 227, "end_line": 247, "span_ids": ["InputDefault._resolve_interpolation_impl"], "tokens": 175}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass InputDefault:\n\n    def _resolve_interpolation_impl(\n        self, known_choices: DictConfig, val: Optional[str]\n    ) -> str:\n        node = OmegaConf.create({\"_dummy_\": val})\n        node._set_parent(known_choices)\n        try:\n            ret = node[\"_dummy_\"]\n            assert isinstance(ret, str)\n            return ret\n        except InterpolationResolutionError:\n            options = [\n                x\n                for x in known_choices.keys()\n                if x != \"defaults\" and isinstance(x, str)\n            ]\n            if len(options) > 0:\n                options_str = \", \".join(options)\n                msg = f\"Error resolving interpolation '{val}', possible interpolation keys: {options_str}\"\n            else:\n                msg = f\"Error resolving interpolation '{val}'\"\n            raise ConfigCompositionException(msg)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_InputDefault.get_override_key_InputDefault.is_external_append.raise_NotImplementedError": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/default_element.py_InputDefault.get_override_key_InputDefault.is_external_append.raise_NotImplementedError", "embedding": null, "metadata": {"file_path": "hydra/core/default_element.py", "file_name": "default_element.py", "file_type": "text/x-python", "category": "implementation", "start_line": 249, "end_line": 266, "span_ids": ["InputDefault.get_relative_override_key", "InputDefault.get_override_key", "InputDefault.is_override", "InputDefault.is_external_append"], "tokens": 128}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass InputDefault:\n\n    def get_override_key(self) -> str:\n        default_pkg = self.get_default_package()\n        final_pkg = self.get_final_package(default_to_package_header=False)\n        key = self.get_group_path()\n        if default_pkg != final_pkg:\n            if final_pkg == \"\":\n                final_pkg = \"_global_\"\n            key = f\"{key}@{final_pkg}\"\n        return key\n\n    def get_relative_override_key(self) -> str:\n        raise NotImplementedError()\n\n    def is_override(self) -> bool:\n        raise NotImplementedError()\n\n    def is_external_append(self) -> bool:\n        raise NotImplementedError()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_group_global_test_group_global._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_group_global_test_group_global._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 673, "end_line": 744, "span_ids": ["test_group_global"], "tokens": 391}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name, overrides, expected\",\n    [\n        param(\n            \"group_default_at_global\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/file1\",\n                    package=\"\",\n                    parent=\"group_default_at_global\",\n                ),\n                ResultDefault(\n                    config_path=\"group_default_at_global\",\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            id=\"group_default_at_global\",\n        ),\n        param(\n            \"group_default_at_global\",\n            [\"+experiment=override_with_global_default2\"],\n            [\n                ResultDefault(\n                    config_path=\"group1/file2\",\n                    package=\"\",\n                    parent=\"group_default_at_global\",\n                ),\n                ResultDefault(\n                    config_path=\"group_default_at_global\",\n                    package=\"\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"experiment/override_with_global_default2\",\n                    package=\"experiment\",\n                    parent=\"group_default_at_global\",\n                ),\n            ],\n            id=\"group_default_at_global:include_experiment_to_override_toplevel_package\",\n        ),\n        param(\n            \"two_group_defaults_different_pkgs_global\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"group1/file1\",\n                    parent=\"two_group_defaults_different_pkgs_global\",\n                    package=\"group1\",\n                ),\n                ResultDefault(\n                    config_path=\"group1/file2\",\n                    parent=\"two_group_defaults_different_pkgs_global\",\n                    package=\"\",\n                ),\n                ResultDefault(\n                    config_path=\"two_group_defaults_different_pkgs_global\",\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            id=\"two_group_defaults_different_pkgs_global\",\n        ),\n    ],\n)\ndef test_group_global(\n    config_name: str, overrides: List[str], expected: List[ResultDefault]\n) -> None:\n    _test_defaults_list_impl(\n        config_name=config_name, overrides=overrides, expected=expected\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_deprecated_compose_strict_flag_test_deprecated_compose_strict_flag.assert_OmegaConf_is_struc": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_deprecated_compose_strict_flag_test_deprecated_compose_strict_flag.assert_OmegaConf_is_struc", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 741, "end_line": 765, "span_ids": ["test_deprecated_compose_strict_flag"], "tokens": 172}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"initialize_hydra_no_path\")\n@mark.parametrize(\n    \"strict\", [param(True, id=\"strict=True\"), param(False, id=\"strict=False\")]\n)\ndef test_deprecated_compose_strict_flag(\n    strict: bool, hydra_restore_singletons: Any\n) -> None:\n    msg = dedent(\n        \"\"\"\\\n\n        The strict flag in the compose API is deprecated.\n        See https://hydra.cc/docs/upgrades/0.11_to_1.0/strict_mode_flag_deprecated for more info.\n        \"\"\"\n    )\n\n    version.setbase(\"1.1\")\n\n    with warns(\n        expected_warning=UserWarning,\n        match=re.escape(msg),\n    ):\n        cfg = compose(overrides=[], strict=strict)\n\n    assert cfg == {}\n    assert OmegaConf.is_struct(cfg) is strict", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/instantiate/partial/my_app.py_from_typing_import_Any_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/instantiate/partial/my_app.py_from_typing_import_Any_", "embedding": null, "metadata": {"file_path": "examples/instantiate/partial/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 39, "span_ids": ["Optimizer.__repr__", "Optimizer", "impl", "my_app", "Model.__repr__", "Optimizer.__init__", "Model", "docstring", "Model.__init__"], "tokens": 202}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Any\n\nfrom omegaconf import DictConfig\n\nimport hydra\nfrom hydra.utils import instantiate\n\n\nclass Optimizer:\n    algo: str\n    lr: float\n\n    def __init__(self, algo: str, lr: float) -> None:\n        self.algo = algo\n        self.lr = lr\n\n    def __repr__(self) -> str:\n        return f\"Optimizer(algo={self.algo},lr={self.lr})\"\n\n\nclass Model:\n    def __init__(self, optim_partial: Any):\n        super().__init__()\n        self.optim = optim_partial(lr=0.1)\n\n    def __repr__(self) -> str:\n        return f\"Model(Optimizer={self.optim})\"\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    model = instantiate(cfg.model)\n    print(model)\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/running_your_hydra_app/5_basic_sweep/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/tutorials/basic/running_your_hydra_app/5_basic_sweep/my_app.py__", "embedding": null, "metadata": {"file_path": "examples/tutorials/basic/running_your_hydra_app/5_basic_sweep/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 86}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(f\"driver={cfg.db.driver}, timeout={cfg.db.timeout}\")\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/basic_sweeper.py_BasicSweeper.split_arguments_BasicSweeper._parse_config.return.params_conf": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/basic_sweeper.py_BasicSweeper.split_arguments_BasicSweeper._parse_config.return.params_conf", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/basic_sweeper.py", "file_name": "basic_sweeper.py", "file_type": "text/x-python", "category": "implementation", "start_line": 106, "end_line": 146, "span_ids": ["BasicSweeper.split_arguments", "BasicSweeper._parse_config"], "tokens": 329}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class BasicSweeper(Sweeper):\n\n    @staticmethod\n    def split_arguments(\n        overrides: List[Override], max_batch_size: Optional[int]\n    ) -> List[List[List[str]]]:\n\n        lists = []\n        final_overrides = OrderedDict()\n        for override in overrides:\n            if override.is_sweep_override():\n                if override.is_discrete_sweep():\n                    key = override.get_key_element()\n                    sweep = [f\"{key}={val}\" for val in override.sweep_string_iterator()]\n                    final_overrides[key] = sweep\n                else:\n                    assert override.value_type is not None\n                    raise HydraException(\n                        f\"{BasicSweeper.__name__} does not support sweep type : {override.value_type.name}\"\n                    )\n            else:\n                key = override.get_key_element()\n                value = override.get_value_element_as_str()\n                final_overrides[key] = [f\"{key}={value}\"]\n\n        for _, v in final_overrides.items():\n            lists.append(v)\n\n        all_batches = [list(x) for x in itertools.product(*lists)]\n        assert max_batch_size is None or max_batch_size > 0\n        if max_batch_size is None:\n            return [all_batches]\n        else:\n            chunks_iter = BasicSweeper.split_overrides_to_chunks(\n                all_batches, max_batch_size\n            )\n            return [x for x in chunks_iter]\n\n    def _parse_config(self) -> List[str]:\n        params_conf = []\n        for k, v in self.params.items():\n            params_conf.append(f\"{k}={v}\")\n        return params_conf", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py_run_job_run_job.try_.finally_.if__chdir_.os_chdir_old_cwd_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py_run_job_run_job.try_.finally_.if__chdir_.os_chdir_old_cwd_", "embedding": null, "metadata": {"file_path": "hydra/core/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 99, "end_line": 202, "span_ids": ["run_job"], "tokens": 798}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def run_job(\n    task_function: TaskFunction,\n    config: DictConfig,\n    job_dir_key: str,\n    job_subdir_key: Optional[str],\n    hydra_context: HydraContext,\n    configure_logging: bool = True,\n) -> \"JobReturn\":\n    _check_hydra_context(hydra_context)\n    callbacks = hydra_context.callbacks\n\n    old_cwd = os.getcwd()\n    orig_hydra_cfg = HydraConfig.instance().cfg\n\n    # init Hydra config for config evaluation\n    HydraConfig.instance().set_config(config)\n\n    output_dir = str(OmegaConf.select(config, job_dir_key))\n    if job_subdir_key is not None:\n        # evaluate job_subdir_key lazily.\n        # this is running on the client side in sweep and contains things such as job:id which\n        # are only available there.\n        subdir = str(OmegaConf.select(config, job_subdir_key))\n        output_dir = os.path.join(output_dir, subdir)\n\n    with read_write(config.hydra.runtime):\n        with open_dict(config.hydra.runtime):\n            config.hydra.runtime.output_dir = os.path.abspath(output_dir)\n\n    # update Hydra config\n    HydraConfig.instance().set_config(config)\n    _chdir = None\n    try:\n        ret = JobReturn()\n        task_cfg = copy.deepcopy(config)\n        with read_write(task_cfg):\n            with open_dict(task_cfg):\n                del task_cfg[\"hydra\"]\n\n        ret.cfg = task_cfg\n        hydra_cfg = copy.deepcopy(HydraConfig.instance().cfg)\n        assert isinstance(hydra_cfg, DictConfig)\n        ret.hydra_cfg = hydra_cfg\n        overrides = OmegaConf.to_container(config.hydra.overrides.task)\n        assert isinstance(overrides, list)\n        ret.overrides = overrides\n        # handle output directories here\n        Path(str(output_dir)).mkdir(parents=True, exist_ok=True)\n\n        _chdir = hydra_cfg.hydra.job.chdir\n\n        if _chdir is None:\n            if version.base_at_least(\"1.2\"):\n                _chdir = False\n\n        if _chdir is None:\n            url = \"https://hydra.cc/docs/next/upgrades/1.1_to_1.2/changes_to_job_working_dir/\"\n            deprecation_warning(\n                message=dedent(\n                    f\"\"\"\\\n                    Future Hydra versions will no longer change working directory at job runtime by default.\n                    See {url} for more information.\"\"\"\n                ),\n                stacklevel=2,\n            )\n            _chdir = True\n\n        if _chdir:\n            os.chdir(output_dir)\n            ret.working_dir = output_dir\n        else:\n            ret.working_dir = os.getcwd()\n\n        if configure_logging:\n            configure_log(config.hydra.job_logging, config.hydra.verbose)\n\n        if config.hydra.output_subdir is not None:\n            hydra_output = Path(config.hydra.runtime.output_dir) / Path(\n                config.hydra.output_subdir\n            )\n            _save_config(task_cfg, \"config.yaml\", hydra_output)\n            _save_config(hydra_cfg, \"hydra.yaml\", hydra_output)\n            _save_config(config.hydra.overrides.task, \"overrides.yaml\", hydra_output)\n\n        with env_override(hydra_cfg.hydra.job.env_set):\n            callbacks.on_job_start(config=config)\n            try:\n                ret.return_value = task_function(task_cfg)\n                ret.status = JobStatus.COMPLETED\n            except Exception as e:\n                ret.return_value = e\n                ret.status = JobStatus.FAILED\n\n        ret.task_name = JobRuntime.instance().get(\"name\")\n\n        _flush_loggers()\n\n        callbacks.on_job_end(config=config, job_return=ret)\n\n        return ret\n    finally:\n        HydraConfig.instance().cfg = orig_hydra_cfg\n        if _chdir:\n            os.chdir(old_cwd)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py_common_overrides_run_command.return.output": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py_common_overrides_run_command.return.output", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py", "file_name": "test_ray_aws_launcher.py", "file_type": "text/x-python", "category": "test", "start_line": 105, "end_line": 136, "span_ids": ["impl:48", "run_command", "impl:37"], "tokens": 324}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "common_overrides = [\n    f\"hydra.launcher.ray.cluster.cluster_name={cluster_name}\",\n    \"hydra.launcher.stop_cluster=False\",\n    \"hydra.launcher.logging.log_style='auto'\",\n    \"hydra.launcher.logging.color_mode='auto'\",\n    \"hydra.launcher.logging.verbosity=1\",\n    \"hydra.launcher.create_update_cluster.no_restart=False\",\n    \"hydra.launcher.create_update_cluster.restart_only=False\",\n    \"hydra.launcher.create_update_cluster.no_config_cache=False\",\n    \"hydra.launcher.teardown_cluster.workers_only=False\",\n    \"hydra.launcher.teardown_cluster.keep_min_workers=False\",\n    f\"hydra.launcher.ray.cluster.provider.key_pair.key_name=hydra_test_{cluster_name}\",\n    # Port 443 is blocked for testing instance, as a result, pip install would fail.\n    # To get around this, we pre-install all the dependencies on the test AMI.\n    \"hydra.launcher.ray.cluster.setup_commands=[]\",\n    \"hydra.launcher.env_setup.commands=[]\",\n    f\"+hydra.launcher.ray.cluster.available_node_types={ray_nodes_conf_override}\",\n]\ncommon_overrides.extend(\n    [f\"~hydra.launcher.env_setup.pip_packages.{lib}\" for lib in pip_lib_skip]\n)\n\nlog = logging.getLogger(__name__)\n\nchdir_plugin_root()\n\n\ndef run_command(commands: str) -> str:\n    log.info(f\"running: {commands}\")\n    output = subprocess.getoutput(commands)\n    log.info(f\"outputs: {output}\")\n    return output", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py_build_ray_launcher_wheel_build_core_wheel.return.wheel": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py_build_ray_launcher_wheel_build_core_wheel.return.wheel", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py", "file_name": "test_ray_aws_launcher.py", "file_type": "text/x-python", "category": "test", "start_line": 127, "end_line": 147, "span_ids": ["build_core_wheel", "build_ray_launcher_wheel"], "tokens": 236}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def build_ray_launcher_wheel(tmp_wheel_dir: str) -> str:\n    chdir_hydra_root()\n    plugin = \"hydra_ray_launcher\"\n    os.chdir(Path(\"plugins\") / plugin)\n    log.info(f\"Build wheel for {plugin}, save wheel to {tmp_wheel_dir}.\")\n    run_command(f\"python setup.py sdist bdist_wheel && cp dist/*.whl {tmp_wheel_dir}\")\n    log.info(\"Download all plugin dependency wheels.\")\n    run_command(f\"pip download . -d {tmp_wheel_dir}\")\n    plugin_wheel = run_command(\"ls dist/*.whl\").split(\"/\")[-1]\n    chdir_hydra_root()\n    return plugin_wheel\n\n\ndef build_core_wheel(tmp_wheel_dir: str) -> str:\n    chdir_hydra_root()\n    run_command(f\"python setup.py sdist bdist_wheel && cp dist/*.whl {tmp_wheel_dir}\")\n\n    # download dependency wheel for hydra-core\n    run_command(f\"pip download -r requirements/requirements.txt -d {tmp_wheel_dir}\")\n    wheel = run_command(\"ls dist/*.whl\").split(\"/\")[-1]\n    return wheel", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py_upload_and_install_wheels_upload_and_install_wheels.None_5": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py_upload_and_install_wheels_upload_and_install_wheels.None_5", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py", "file_name": "test_ray_aws_launcher.py", "file_type": "text/x-python", "category": "test", "start_line": 150, "end_line": 176, "span_ids": ["upload_and_install_wheels"], "tokens": 216}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def upload_and_install_wheels(\n    tmp_wheel_dir: str,\n    connect_config: Dict[Any, Any],\n    core_wheel: str,\n    plugin_wheel: str,\n) -> None:\n    sdk.rsync(\n        connect_config,\n        source=tmp_wheel_dir + \"/\",\n        target=temp_remote_wheel_dir,\n        down=False,\n    )\n    log.info(f\"Install hydra-core wheel {core_wheel}\")\n    sdk.run_on_cluster(\n        connect_config,\n        cmd=f\"pip install --no-index --find-links={temp_remote_wheel_dir} {temp_remote_wheel_dir}{core_wheel}\",\n        with_output=True,\n    )\n    log.info(f\"Install plugin wheel {plugin_wheel} \")\n    log.info(\n        f\"pip install --no-index --find-links={temp_remote_wheel_dir} {temp_remote_wheel_dir}{plugin_wheel}\"\n    )\n    sdk.run_on_cluster(\n        connect_config,\n        cmd=f\"pip install --no-index --find-links={temp_remote_wheel_dir} {temp_remote_wheel_dir}{plugin_wheel}\",\n        with_output=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py_parse_python_minor_version_test_discovery.assert_RayAWSLauncher___n": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py_parse_python_minor_version_test_discovery.assert_RayAWSLauncher___n", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/tests/test_ray_aws_launcher.py", "file_name": "test_ray_aws_launcher.py", "file_type": "text/x-python", "category": "test", "start_line": 179, "end_line": 213, "span_ids": ["parse_python_minor_version", "test_discovery", "validate_lib_version"], "tokens": 309}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def parse_python_minor_version(version: str) -> str:\n    micro_start = version.rfind(\".\")\n    return version[:micro_start]\n\n\ndef validate_lib_version(connect_config: Dict[Any, Any]) -> None:\n    # a few lib versions that we care about\n    libs = [\"ray\", \"cloudpickle\", \"pickle5\"]\n    for lib in libs:\n        local_version = f\"{pkg_resources.get_distribution(lib).version}\"\n        out = sdk.run_on_cluster(\n            connect_config, cmd=f\"pip show {lib} | grep Version\", with_output=True\n        ).decode()\n        assert local_version in out, f\"{lib} version mismatch\"\n\n    # validate python version\n    info = sys.version_info\n    local_python = f\"{info.major}.{info.minor}.{info.micro}\"\n    out = sdk.run_on_cluster(\n        connect_config, cmd=\"python --version\", with_output=True\n    ).decode()\n    remote_python = out.split()[1]\n\n    assert parse_python_minor_version(local_python) == parse_python_minor_version(\n        remote_python\n    ), f\"Python version mismatch, local={local_python}, remote={remote_python}\"\n\n\n@mark.skipif(sys.platform.startswith(\"win\"), reason=win_msg)\ndef test_discovery() -> None:\n    # Tests that this plugin can be discovered via the plugins subsystem when\n    # looking for Launchers\n    assert RayAWSLauncher.__name__ in [\n        x.__name__ for x in Plugins.instance().discover(Launcher)\n    ]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/__init__.py_ArgsClass_ArgsClass.__eq__.if_isinstance_other_Args.else_.return.NotImplemented": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/__init__.py_ArgsClass_ArgsClass.__eq__.if_isinstance_other_Args.else_.return.NotImplemented", "embedding": null, "metadata": {"file_path": "tests/instantiate/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 50, "end_line": 64, "span_ids": ["ArgsClass.__init__", "ArgsClass.__eq__", "ArgsClass", "ArgsClass.__repr__"], "tokens": 120}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ArgsClass:\n    def __init__(self, *args: Any, **kwargs: Any) -> None:\n        assert isinstance(args, tuple)\n        assert isinstance(kwargs, dict)\n        self.args = args\n        self.kwargs = kwargs\n\n    def __repr__(self) -> str:\n        return f\"self.args={self.args},self.kwarg={self.kwargs}\"\n\n    def __eq__(self, other: Any) -> Any:\n        if isinstance(other, ArgsClass):\n            return self.args == other.args and self.kwargs == other.kwargs\n        else:\n            return NotImplemented", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/import_error.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/import_error.py__", "embedding": null, "metadata": {"file_path": "tests/instantiate/import_error.py", "file_name": "import_error.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 3, "span_ids": ["docstring"], "tokens": 19}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nassert False", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_regression_1483_test_regression_1483.if_is_partial_.else_.pickle_dumps_res_kwargs_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_regression_1483_test_regression_1483.if_is_partial_.else_.pickle_dumps_res_kwargs_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 470, "end_line": 492, "span_ids": ["test_regression_1483"], "tokens": 185}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"is_partial\", [True, False])\ndef test_regression_1483(instantiate_func: Any, is_partial: bool) -> None:\n    \"\"\"\n    In 1483, pickle is failing because the parent node of lst node contains\n    a generator, which is not picklable.\n    The solution is to resolve and retach from the parent before calling the function.\n    This tests verifies the expected behavior.\n    \"\"\"\n\n    def gen() -> Any:\n        yield 10\n\n    res: ArgsClass = instantiate_func(\n        {\"_target_\": \"tests.instantiate.ArgsClass\"},\n        _partial_=is_partial,\n        gen=gen(),\n        lst=[1, 2],\n    )\n    if is_partial:\n        # res is of type functools.partial\n        pickle.dumps(res.keywords[\"lst\"])  # type: ignore\n    else:\n        pickle.dumps(res.kwargs[\"lst\"])", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_pass_extra_variables_test_pass_extra_variables.if_is_partial_.else_.assert_instantiate_func_c": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_pass_extra_variables_test_pass_extra_variables.if_is_partial_.else_.assert_instantiate_func_c", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 564, "end_line": 579, "span_ids": ["test_pass_extra_variables"], "tokens": 144}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"is_partial\", [True, False])\ndef test_pass_extra_variables(instantiate_func: Any, is_partial: bool) -> None:\n    cfg = OmegaConf.create(\n        {\n            \"_target_\": \"tests.instantiate.AClass\",\n            \"a\": 10,\n            \"b\": 20,\n            \"_partial_\": is_partial,\n        }\n    )\n    if is_partial:\n        assert partial_equal(\n            instantiate_func(cfg, c=30), partial(AClass, a=10, b=20, c=30)\n        )\n    else:\n        assert instantiate_func(cfg, c=30) == AClass(a=10, b=20, c=30)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_partial_instantiate_test_partial_instantiate.assert_obj_expected_or": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_partial_instantiate_test_partial_instantiate.assert_obj_expected_or", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 780, "end_line": 966, "span_ids": ["test_partial_instantiate"], "tokens": 1097}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"src, passthrough, expected\",\n    [\n        # direct\n        param(\n            {\n                \"_target_\": \"tests.instantiate.Tree\",\n                \"_partial_\": True,\n                \"left\": {\n                    \"_target_\": \"tests.instantiate.Tree\",\n                    \"value\": 21,\n                },\n                \"right\": {\n                    \"_target_\": \"tests.instantiate.Tree\",\n                    \"value\": 22,\n                },\n            },\n            {},\n            partial(Tree, left=Tree(value=21), right=Tree(value=22)),\n        ),\n        param(\n            {\"_target_\": \"tests.instantiate.Tree\", \"_partial_\": True},\n            {\"value\": 1},\n            partial(Tree, value=1),\n        ),\n        param(\n            {\"_target_\": \"tests.instantiate.Tree\"},\n            {\n                \"value\": 1,\n                \"left\": {\"_target_\": \"tests.instantiate.Tree\", \"_partial_\": True},\n            },\n            Tree(value=1, left=partial(Tree)),\n        ),\n        param(\n            {\"_target_\": \"tests.instantiate.Tree\"},\n            {\n                \"value\": 1,\n                \"left\": {\"_target_\": \"tests.instantiate.Tree\", \"_partial_\": True},\n                \"right\": {\"_target_\": \"tests.instantiate.Tree\", \"value\": 3},\n            },\n            Tree(value=1, left=partial(Tree), right=Tree(3)),\n        ),\n        param(\n            TreeConf(\n                value=1,\n                left=TreeConf(value=21, _partial_=True),\n                right=TreeConf(value=22),\n            ),\n            {},\n            Tree(\n                value=1,\n                left=partial(Tree, value=21, left=None, right=None),\n                right=Tree(value=22),\n            ),\n        ),\n        param(\n            TreeConf(\n                _partial_=True,\n                value=1,\n                left=TreeConf(value=21, _partial_=True),\n                right=TreeConf(value=22, _partial_=True),\n            ),\n            {},\n            partial(\n                Tree,\n                value=1,\n                left=partial(Tree, value=21, left=None, right=None),\n                right=partial(Tree, value=22, left=None, right=None),\n            ),\n        ),\n        param(\n            TreeConf(\n                _partial_=True,\n                value=1,\n                left=TreeConf(\n                    value=21,\n                ),\n                right=TreeConf(value=22, left=TreeConf(_partial_=True, value=42)),\n            ),\n            {},\n            partial(\n                Tree,\n                value=1,\n                left=Tree(value=21),\n                right=Tree(\n                    value=22, left=partial(Tree, value=42, left=None, right=None)\n                ),\n            ),\n        ),\n        # list\n        # note that passthrough to a list element is not currently supported\n        param(\n            ComposeConf(\n                _partial_=True,\n                transforms=[\n                    CenterCropConf(size=10),\n                    RotationConf(degrees=45),\n                ],\n            ),\n            {},\n            partial(\n                Compose,\n                transforms=[\n                    CenterCrop(size=10),\n                    Rotation(degrees=45),\n                ],\n            ),\n        ),\n        param(\n            ComposeConf(\n                transforms=[\n                    CenterCropConf(_partial_=True, size=10),\n                    RotationConf(degrees=45),\n                ],\n            ),\n            {},\n            Compose(\n                transforms=[\n                    partial(CenterCrop, size=10),  # type: ignore\n                    Rotation(degrees=45),\n                ],\n            ),\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.Compose\",\n                \"transforms\": [\n                    {\"_target_\": \"tests.instantiate.CenterCrop\", \"_partial_\": True},\n                    {\"_target_\": \"tests.instantiate.Rotation\", \"degrees\": 45},\n                ],\n            },\n            {},\n            Compose(\n                transforms=[\n                    partial(CenterCrop),  # type: ignore\n                    Rotation(degrees=45),\n                ]\n            ),\n            id=\"recursive:list:dict\",\n        ),\n        # map\n        param(\n            MappingConf(\n                dictionary={\n                    \"a\": MappingConf(_partial_=True),\n                    \"b\": MappingConf(),\n                }\n            ),\n            {},\n            Mapping(\n                dictionary={\n                    \"a\": partial(Mapping, dictionary=None),  # type: ignore\n                    \"b\": Mapping(),\n                }\n            ),\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.Mapping\",\n                \"_partial_\": True,\n                \"dictionary\": {\n                    \"a\": {\"_target_\": \"tests.instantiate.Mapping\", \"_partial_\": True},\n                },\n            },\n            {\n                \"dictionary\": {\n                    \"b\": {\"_target_\": \"tests.instantiate.Mapping\", \"_partial_\": True},\n                },\n            },\n            partial(\n                Mapping,\n                dictionary={\n                    \"a\": partial(Mapping),\n                    \"b\": partial(Mapping),\n                },\n            ),\n        ),\n    ],\n)\ndef test_partial_instantiate(\n    instantiate_func: Any,\n    config: Any,\n    passthrough: Dict[str, Any],\n    expected: Any,\n) -> None:\n    obj = instantiate_func(config, **passthrough)\n    assert obj == expected or partial_equal(obj, expected)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_change_dir/my_app.py_os_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_change_dir/my_app.py_os_", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_change_dir/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 22, "span_ids": ["main", "impl", "docstring"], "tokens": 105}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import os\nfrom pathlib import Path\n\nfrom omegaconf import DictConfig\n\nimport hydra\nfrom hydra.core.hydra_config import HydraConfig\n\n\n@hydra.main(version_base=None)\ndef main(_: DictConfig) -> None:\n    subdir = Path(HydraConfig.get().run.dir) / Path(\"subdir\")\n    subdir.mkdir(exist_ok=True, parents=True)\n    os.chdir(subdir)\n\n\nif __name__ == \"__main__\":\n    main()\n\nprint(f\"current dir: {os.getcwd()}\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_no_chdir_override/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_no_chdir_override/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_no_chdir_override/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 68}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(version_base=\"1.1\", config_path=\".\")\ndef my_app(_: DictConfig) -> None:\n    pass\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_TestRunCompletion_TestRunCompletion.test_shell_integration.if_shell_zsh_and_not.skip_zsh_is_not_installe": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_TestRunCompletion_TestRunCompletion.test_shell_integration.if_shell_zsh_and_not.skip_zsh_is_not_installe", "embedding": null, "metadata": {"file_path": "tests/test_completion.py", "file_name": "test_completion.py", "file_type": "text/x-python", "category": "test", "start_line": 103, "end_line": 239, "span_ids": ["TestRunCompletion", "TestRunCompletion.test_shell_integration", "TestRunCompletion.test_completion_plugin"], "tokens": 1311}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"line_prefix\",\n    [param(\"\", id=\"no_prefix\"), param(\"dict.key1=val1 \", id=\"prefix\")],\n)\n@mark.parametrize(\n    \"line,num_tabs,expected\",\n    [\n        (\"\", 2, base_completion_list),\n        (\" \", 2, base_completion_list),\n        (\"dict\", 2, [\"dict.\", \"dict_prefix=\"]),\n        (\"dict.\", 3, [\"dict.key1=\", \"dict.key2=\", \"dict.key3=\"]),\n        (\"dict.key\", 2, [\"dict.key1=\", \"dict.key2=\", \"dict.key3=\"]),\n        (\"dict.key1=\", 2, [\"dict.key1=val1\"]),\n        (\"dict.key3=\", 2, [\"dict.key3=\"]),  # no value because dict.key3 is ???\n        (\"list\", 2, [\"list.\", \"list_prefix=\"]),\n        (\"list.\", 2, [\"list.0=\", \"list.1=\", \"list.2=\"]),\n        (\n            \"hydra/\",\n            3,\n            [\n                \"hydra/env=\",\n                \"hydra/help=\",\n                \"hydra/hydra_help=\",\n                \"hydra/hydra_logging=\",\n                \"hydra/job_logging=\",\n                \"hydra/launcher=\",\n                \"hydra/output=\",\n                \"hydra/sweeper=\",\n            ],\n        ),\n        (\"test_hydra/lau\", 2, [\"test_hydra/launcher=\"]),\n        (\"test_hydra/launcher=\", 2, [\"test_hydra/launcher=fairtask\"]),\n        (\"test_hydra/launcher=fa\", 2, [\"test_hydra/launcher=fairtask\"]),\n        # loading groups\n        param(\"gro\", 2, [\"group=\"], id=\"group\"),\n        param(\"group=di\", 2, [\"group=dict\"], id=\"group\"),\n        param(\n            \"group=dict \",\n            3,\n            [\n                \"dict.\",\n                \"dict_prefix=\",\n                \"group.\",\n                \"group=\",\n                \"hydra\",\n                \"hydra.\",\n                \"list.\",\n                \"list_prefix=\",\n                \"test_hydra/\",\n                \"toys.\",\n            ],\n            id=\"group\",\n        ),\n        param(\"group=\", 2, [\"group=dict\", \"group=list\"], id=\"group\"),\n        param(\"group=dict group.dict=\", 2, [\"group.dict=true\"], id=\"group\"),\n        param(\"group=dict group=\", 2, [\"group=dict\", \"group=list\"], id=\"group\"),\n        param(\"group=dict group=\", 2, [\"group=dict\", \"group=list\"], id=\"group\"),\n        param(\"+\", 2, [\"+group=\", \"+hydra\", \"+test_hydra/\"], id=\"bare_plus\"),\n        param(\"+gro\", 2, [\"+group=\"], id=\"append_group_partial\"),\n        param(\"+group=di\", 2, [\"+group=dict\"], id=\"append_group_partial_option\"),\n        param(\"+group=\", 2, [\"+group=dict\", \"+group=list\"], id=\"group_append\"),\n        param(\n            \"group=dict +group=\", 2, [\"+group=dict\", \"+group=list\"], id=\"group_append2\"\n        ),\n        param(\"~gro\", 2, [\"~group\"], id=\"delete_group_partial\"),\n        param(\"~group=di\", 2, [\"~group=dict\"], id=\"delete_group_partial_option\"),\n        param(\"~group=\", 2, [\"~group=dict\", \"~group=list\"], id=\"group_delete\"),\n        param(\n            \"group=dict ~group=\", 2, [\"~group=dict\", \"~group=list\"], id=\"group_delete2\"\n        ),\n        param(\"~\", 2, [\"~group\", \"~hydra\", \"~test_hydra/\"], id=\"bare_tilde\"),\n        param(\"+test_hydra/lau\", 2, [\"+test_hydra/launcher=\"], id=\"nested_plus\"),\n        param(\n            \"+test_hydra/launcher=\",\n            2,\n            [\"+test_hydra/launcher=fairtask\"],\n            id=\"nested_plus_equal\",\n        ),\n        param(\n            \"+test_hydra/launcher=fa\",\n            2,\n            [\"+test_hydra/launcher=fairtask\"],\n            id=\"nested_plus_equal_partial\",\n        ),\n        param(\"~test_hydra/lau\", 2, [\"~test_hydra/launcher\"], id=\"nested_tilde\"),\n        param(\n            \"~test_hydra/launcher=\",\n            2,\n            [\"~test_hydra/launcher=fairtask\"],\n            id=\"nested_tilde_equal\",\n        ),\n        param(\n            \"~test_hydra/launcher=fa\",\n            2,\n            [\"~test_hydra/launcher=fairtask\"],\n            id=\"nested_tilde_equal_partial\",\n        ),\n    ],\n)\nclass TestRunCompletion:\n    def test_completion_plugin(\n        self, line_prefix: str, num_tabs: int, line: str, expected: List[str]\n    ) -> None:\n        config_loader = create_config_loader()\n        bc = DefaultCompletionPlugin(config_loader)\n        ret = bc._query(config_name=\"config.yaml\", line=line_prefix + line)\n\n        assert ret == expected\n\n        ret = bc._query(\n            config_name=\"config.yaml\", line=\"--multirun \" + line_prefix + line\n        )\n\n        assert ret == expected\n\n    @mark.skipif(\n        not is_expect_exists(),\n        reason=\"expect should be installed to run the expects tests\",\n    )\n    @mark.parametrize(\"prog\", [[\"python\", \"hydra/test_utils/completion.py\"]])\n    @mark.parametrize(\n        \"shell\",\n        [\"bash\", \"fish\", \"zsh\"],\n    )\n    def test_shell_integration(\n        self,\n        shell: str,\n        prog: List[str],\n        num_tabs: int,\n        line_prefix: str,\n        line: str,\n        expected: List[str],\n    ) -> None:\n        if shell == \"fish\" and not is_fish_supported():\n            skip(\"fish is not installed or the version is too old\")\n        if shell == \"zsh\" and not is_zsh_supported():\n            skip(\"zsh is not installed or the version is too old\")\n        # ... other code", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_TestRunCompletion.test_shell_integration.if_shell_in_zsh_fish_TestRunCompletion.test_shell_integration.ret.subprocess_check_output_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_TestRunCompletion.test_shell_integration.if_shell_in_zsh_fish_TestRunCompletion.test_shell_integration.ret.subprocess_check_output_", "embedding": null, "metadata": {"file_path": "tests/test_completion.py", "file_name": "test_completion.py", "file_type": "text/x-python", "category": "test", "start_line": 240, "end_line": 250, "span_ids": ["TestRunCompletion.test_shell_integration"], "tokens": 1259}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"line_prefix\",\n    [param(\"\", id=\"no_prefix\"), param(\"dict.key1=val1 \", id=\"prefix\")],\n)\n@mark.parametrize(\n    \"line,num_tabs,expected\",\n    [\n        (\"\", 2, base_completion_list),\n        (\" \", 2, base_completion_list),\n        (\"dict\", 2, [\"dict.\", \"dict_prefix=\"]),\n        (\"dict.\", 3, [\"dict.key1=\", \"dict.key2=\", \"dict.key3=\"]),\n        (\"dict.key\", 2, [\"dict.key1=\", \"dict.key2=\", \"dict.key3=\"]),\n        (\"dict.key1=\", 2, [\"dict.key1=val1\"]),\n        (\"dict.key3=\", 2, [\"dict.key3=\"]),  # no value because dict.key3 is ???\n        (\"list\", 2, [\"list.\", \"list_prefix=\"]),\n        (\"list.\", 2, [\"list.0=\", \"list.1=\", \"list.2=\"]),\n        (\n            \"hydra/\",\n            3,\n            [\n                \"hydra/env=\",\n                \"hydra/help=\",\n                \"hydra/hydra_help=\",\n                \"hydra/hydra_logging=\",\n                \"hydra/job_logging=\",\n                \"hydra/launcher=\",\n                \"hydra/output=\",\n                \"hydra/sweeper=\",\n            ],\n        ),\n        (\"test_hydra/lau\", 2, [\"test_hydra/launcher=\"]),\n        (\"test_hydra/launcher=\", 2, [\"test_hydra/launcher=fairtask\"]),\n        (\"test_hydra/launcher=fa\", 2, [\"test_hydra/launcher=fairtask\"]),\n        # loading groups\n        param(\"gro\", 2, [\"group=\"], id=\"group\"),\n        param(\"group=di\", 2, [\"group=dict\"], id=\"group\"),\n        param(\n            \"group=dict \",\n            3,\n            [\n                \"dict.\",\n                \"dict_prefix=\",\n                \"group.\",\n                \"group=\",\n                \"hydra\",\n                \"hydra.\",\n                \"list.\",\n                \"list_prefix=\",\n                \"test_hydra/\",\n                \"toys.\",\n            ],\n            id=\"group\",\n        ),\n        param(\"group=\", 2, [\"group=dict\", \"group=list\"], id=\"group\"),\n        param(\"group=dict group.dict=\", 2, [\"group.dict=true\"], id=\"group\"),\n        param(\"group=dict group=\", 2, [\"group=dict\", \"group=list\"], id=\"group\"),\n        param(\"group=dict group=\", 2, [\"group=dict\", \"group=list\"], id=\"group\"),\n        param(\"+\", 2, [\"+group=\", \"+hydra\", \"+test_hydra/\"], id=\"bare_plus\"),\n        param(\"+gro\", 2, [\"+group=\"], id=\"append_group_partial\"),\n        param(\"+group=di\", 2, [\"+group=dict\"], id=\"append_group_partial_option\"),\n        param(\"+group=\", 2, [\"+group=dict\", \"+group=list\"], id=\"group_append\"),\n        param(\n            \"group=dict +group=\", 2, [\"+group=dict\", \"+group=list\"], id=\"group_append2\"\n        ),\n        param(\"~gro\", 2, [\"~group\"], id=\"delete_group_partial\"),\n        param(\"~group=di\", 2, [\"~group=dict\"], id=\"delete_group_partial_option\"),\n        param(\"~group=\", 2, [\"~group=dict\", \"~group=list\"], id=\"group_delete\"),\n        param(\n            \"group=dict ~group=\", 2, [\"~group=dict\", \"~group=list\"], id=\"group_delete2\"\n        ),\n        param(\"~\", 2, [\"~group\", \"~hydra\", \"~test_hydra/\"], id=\"bare_tilde\"),\n        param(\"+test_hydra/lau\", 2, [\"+test_hydra/launcher=\"], id=\"nested_plus\"),\n        param(\n            \"+test_hydra/launcher=\",\n            2,\n            [\"+test_hydra/launcher=fairtask\"],\n            id=\"nested_plus_equal\",\n        ),\n        param(\n            \"+test_hydra/launcher=fa\",\n            2,\n            [\"+test_hydra/launcher=fairtask\"],\n            id=\"nested_plus_equal_partial\",\n        ),\n        param(\"~test_hydra/lau\", 2, [\"~test_hydra/launcher\"], id=\"nested_tilde\"),\n        param(\n            \"~test_hydra/launcher=\",\n            2,\n            [\"~test_hydra/launcher=fairtask\"],\n            id=\"nested_tilde_equal\",\n        ),\n        param(\n            \"~test_hydra/launcher=fa\",\n            2,\n            [\"~test_hydra/launcher=fairtask\"],\n            id=\"nested_tilde_equal_partial\",\n        ),\n    ],\n)\nclass TestRunCompletion:\n\n    @mark.skipif(\n        not is_expect_exists(),\n        reason=\"expect should be installed to run the expects tests\",\n    )\n    @mark.parametrize(\"prog\", [[\"python\", \"hydra/test_utils/completion.py\"]])\n    @mark.parametrize(\n        \"shell\",\n        [\"bash\", \"fish\", \"zsh\"],\n    )\n    def test_shell_integration(\n        self,\n        shell: str,\n        prog: List[str],\n        num_tabs: int,\n        line_prefix: str,\n        line: str,\n        expected: List[str],\n    ) -> None:\n        # ... other code\n        if shell in (\"zsh\", \"fish\") and any(\n            word.startswith(\"~\") for word in line.split(\" \")\n        ):\n            xfail(f\"{shell} treats words prefixed by the tilde symbol specially\")\n\n        # verify expect will be running the correct Python.\n        # This preemptively detect a much harder to understand error from expect.\n        ret = subprocess.check_output(\n            [\"python\", \"-c\", \"import sys; print(sys.executable)\"],\n            env={\"PATH\": os.environ[\"PATH\"]},\n        )\n        # ... other code", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_missing_node_with_defaults_list_test_missing_node_with_defaults_list.assert_cfg_trainer_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_missing_node_with_defaults_list_test_missing_node_with_defaults_list.assert_cfg_trainer_", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 688, "end_line": 706, "span_ids": ["test_missing_node_with_defaults_list"], "tokens": 164}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"initialize_hydra_no_path\")\ndef test_missing_node_with_defaults_list(hydra_restore_singletons: Any) -> None:\n    @dataclass\n    class Reducer:\n        defaults: List[Any] = field(default_factory=lambda: [])\n\n    @dataclass\n    class Trainer:\n        reducer: Reducer = MISSING\n        defaults: List[Any] = field(\n            default_factory=lambda: [{\"/reducer\": \"base_reducer\"}]\n        )\n\n    cs = ConfigStore.instance()\n    cs.store(name=\"base_trainer\", node=Trainer(), group=\"trainer\")\n    cs.store(name=\"base_reducer\", node=Reducer(), group=\"reducer\")\n\n    cfg = compose(\"trainer/base_trainer\")\n    assert cfg == {\"trainer\": {\"reducer\": {}}}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_enum_with_removed_defaults_list_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_enum_with_removed_defaults_list_", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 709, "end_line": 727, "span_ids": ["test_enum_with_removed_defaults_list"], "tokens": 154}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.usefixtures(\"initialize_hydra_no_path\")\ndef test_enum_with_removed_defaults_list(hydra_restore_singletons: Any) -> None:\n    class Category(Enum):\n        X = 0\n        Y = 1\n        Z = 2\n\n    @dataclass\n    class Conf:\n        enum_dict: Dict[Category, str] = field(default_factory=dict)\n        int_dict: Dict[int, str] = field(default_factory=dict)\n        str_dict: Dict[str, str] = field(default_factory=dict)\n\n    cs = ConfigStore.instance()\n    cs.store(name=\"conf\", node=Conf)\n\n    cfg = compose(\"conf\")\n    assert cfg == {\"enum_dict\": {}, \"int_dict\": {}, \"str_dict\": {}}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_load_config_file_with_schema_validation_TestConfigLoader.test_load_config_file_with_schema_validation.assert_cfg_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_load_config_file_with_schema_validation_TestConfigLoader.test_load_config_file_with_schema_validation.assert_cfg_", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 277, "end_line": 313, "span_ids": ["TestConfigLoader.test_load_config_file_with_schema_validation"], "tokens": 336}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"path\",\n    [\n        param(\"file://hydra/test_utils/configs\", id=\"file\"),\n        param(\"pkg://hydra.test_utils.configs\", id=\"pkg\"),\n    ],\n)\nclass TestConfigLoader:\n\n    def test_load_config_file_with_schema_validation(\n        self, hydra_restore_singletons: Any, path: str\n    ) -> None:\n\n        with ConfigStoreWithProvider(\"this_test\") as cs:\n            cs.store(name=\"config\", node=TopLevelConfig)\n            cs.store(group=\"db\", name=\"mysql\", node=MySQLConfig, package=\"db\")\n\n        config_loader = ConfigLoaderImpl(\n            config_search_path=create_config_search_path(path)\n        )\n\n        msg = dedent(\n            \"\"\"\\\n          'config' is validated against ConfigStore schema with the same name.\n          This behavior is deprecated in Hydra 1.1 and will be removed in Hydra 1.2.\n          See https://hydra.cc/docs/next/upgrades/1.0_to_1.1/automatic_schema_matching for migration instructions.\"\"\"\n        )\n        with warns(UserWarning, match=re.escape(msg)):\n            cfg = config_loader.load_configuration(\n                config_name=\"config\",\n                overrides=[\"+db=mysql\"],\n                run_mode=RunMode.RUN,\n            )\n\n        with open_dict(cfg):\n            del cfg[\"hydra\"]\n        assert cfg == {\n            \"normal_yaml_config\": True,\n            \"db\": {\n                \"driver\": \"mysql\",\n                \"host\": \"???\",\n                \"port\": \"???\",\n                \"user\": \"omry\",\n                \"password\": \"secret\",\n            },\n        }", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_load_config_with_validation_error_TestConfigLoader.test_load_config_with_validation_error.with_raises_ConfigComposi.config_loader_load_config": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_load_config_with_validation_error_TestConfigLoader.test_load_config_with_validation_error.with_raises_ConfigComposi.config_loader_load_config", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 317, "end_line": 340, "span_ids": ["TestConfigLoader.test_load_config_with_validation_error"], "tokens": 219}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"path\",\n    [\n        param(\"file://hydra/test_utils/configs\", id=\"file\"),\n        param(\"pkg://hydra.test_utils.configs\", id=\"pkg\"),\n    ],\n)\nclass TestConfigLoader:\n\n    def test_load_config_with_validation_error(\n        self, hydra_restore_singletons: Any, path: str\n    ) -> None:\n\n        ConfigStore.instance().store(\n            name=\"base_mysql\", node=MySQLConfig, provider=\"this_test\"\n        )\n        config_loader = ConfigLoaderImpl(\n            config_search_path=create_config_search_path(path)\n        )\n\n        msg = dedent(\n            \"\"\"\\\n            In 'schema_validation_error': ValidationError raised while composing config:\n            Value 'not_an_int'( of type 'str')? could not be converted to Integer\n                full_key: port\n                object_type=MySQLConfig\"\"\"\n        )\n        with raises(ConfigCompositionException, match=msg):\n            config_loader.load_configuration(\n                config_name=\"schema_validation_error\",\n                overrides=[],\n                run_mode=RunMode.RUN,\n            )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_load_config_with_key_error_TestConfigLoader.test_assign_null.assert_cfg_normal_ya": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_config_loader.py_TestConfigLoader.test_load_config_with_key_error_TestConfigLoader.test_assign_null.assert_cfg_normal_ya", "embedding": null, "metadata": {"file_path": "tests/test_config_loader.py", "file_name": "test_config_loader.py", "file_type": "text/x-python", "category": "test", "start_line": 340, "end_line": 374, "span_ids": ["TestConfigLoader.test_load_config_with_key_error", "TestConfigLoader.test_assign_null"], "tokens": 315}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"path\",\n    [\n        param(\"file://hydra/test_utils/configs\", id=\"file\"),\n        param(\"pkg://hydra.test_utils.configs\", id=\"pkg\"),\n    ],\n)\nclass TestConfigLoader:\n\n    def test_load_config_with_key_error(\n        self, hydra_restore_singletons: Any, path: str\n    ) -> None:\n\n        ConfigStore.instance().store(\n            name=\"base_mysql\", node=MySQLConfig, provider=\"this_test\"\n        )\n        config_loader = ConfigLoaderImpl(\n            config_search_path=create_config_search_path(path)\n        )\n\n        msg = dedent(\n            \"\"\"\\\n            In 'schema_key_error': ConfigKeyError raised while composing config:\n            Key 'foo' not in 'MySQLConfig'\n                full_key: foo\n                object_type=MySQLConfig\"\"\"\n        )\n        with raises(ConfigCompositionException, match=re.escape(msg)):\n            config_loader.load_configuration(\n                config_name=\"schema_key_error\",\n                overrides=[],\n                run_mode=RunMode.RUN,\n            )\n\n    def test_assign_null(self, hydra_restore_singletons: Any, path: str) -> None:\n        config_loader = ConfigLoaderImpl(\n            config_search_path=create_config_search_path(path)\n        )\n        cfg = config_loader.load_configuration(\n            config_name=\"config.yaml\", overrides=[\"+abc=null\"], run_mode=RunMode.RUN\n        )\n        with open_dict(cfg):\n            del cfg[\"hydra\"]\n        assert cfg == {\"normal_yaml_config\": True, \"abc\": None}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_basic_sweep.py_from_pathlib_import_Path_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_basic_sweep.py_from_pathlib_import_Path_", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_basic_sweep.py", "file_name": "test_basic_sweep.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 87, "span_ids": ["test_basic_sweep_example", "docstring"], "tokens": 638}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pathlib import Path\nfrom textwrap import dedent\nfrom typing import List\n\nfrom pytest import mark\n\nfrom hydra.test_utils.test_utils import (\n    assert_regex_match,\n    chdir_hydra_root,\n    run_python_script,\n)\n\nchdir_hydra_root()\n\n\n@mark.parametrize(\n    \"args,expected\",\n    [\n        (\n            [],\n            dedent(\n                \"\"\"\\\n                [HYDRA] Launching 4 jobs locally\n                [HYDRA] \\t#0 : db=mysql db.timeout=5\n                driver=mysql, timeout=5\n                [HYDRA] \\t#1 : db=mysql db.timeout=10\n                driver=mysql, timeout=10\n                [HYDRA] \\t#2 : db=postgresql db.timeout=5\n                driver=postgresql, timeout=5\n                [HYDRA] \\t#3 : db=postgresql db.timeout=10\n                driver=postgresql, timeout=10\"\"\"\n            ),\n        ),\n        (\n            [\"db=glob([m*],exclude=postgresql)\"],\n            dedent(\n                \"\"\"\\\n                [HYDRA] Launching 2 jobs locally\n                [HYDRA] \\t#0 : db=mysql db.timeout=5\n                driver=mysql, timeout=5\n                [HYDRA] \\t#1 : db=mysql db.timeout=10\n                driver=mysql, timeout=10\"\"\"\n            ),\n        ),\n        (\n            [\"db=mysql\", \"db.user=choice(one,two)\"],\n            dedent(\n                \"\"\"\\\n                [HYDRA] Launching 4 jobs locally\n                [HYDRA] \\t#0 : db=mysql db.timeout=5 db.user=one\n                driver=mysql, timeout=5\n                [HYDRA] \\t#1 : db=mysql db.timeout=5 db.user=two\n                driver=mysql, timeout=5\n                [HYDRA] \\t#2 : db=mysql db.timeout=10 db.user=one\n                driver=mysql, timeout=10\n                [HYDRA] \\t#3 : db=mysql db.timeout=10 db.user=two\n                driver=mysql, timeout=10\"\"\"\n            ),\n        ),\n    ],\n)\ndef test_basic_sweep_example(\n    tmpdir: Path,\n    args: List[str],\n    expected: str,\n) -> None:\n    app_path = \"examples/tutorials/basic/running_your_hydra_app/5_basic_sweep/my_app.py\"\n\n    cmd = [\n        app_path,\n        \"--multirun\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"hydra.hydra_logging.formatters.simple.format='[HYDRA] %(message)s'\",\n        \"hydra.job_logging.formatters.simple.format='[JOB] %(message)s'\",\n    ]\n    cmd.extend(args)\n    result, _err = run_python_script(cmd)\n\n    assert_regex_match(\n        from_line=expected,\n        to_line=result,\n        from_name=\"Expected output\",\n        to_name=\"Actual output\",\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_instantiate_examples.py_test_instantiate_object_partial_test_instantiate_schema.assert_result_output": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_instantiate_examples.py_test_instantiate_object_partial_test_instantiate_schema.assert_result_output", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_instantiate_examples.py", "file_name": "test_instantiate_examples.py", "file_type": "text/x-python", "category": "test", "start_line": 56, "end_line": 80, "span_ids": ["test_instantiate_schema", "test_instantiate_object_partial"], "tokens": 200}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_instantiate_object_partial(tmpdir: Path) -> None:\n    cmd = [\n        \"examples/instantiate/partial/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    result, _err = run_python_script(cmd)\n    assert result == \"Model(Optimizer=Optimizer(algo=SGD,lr=0.1))\"\n\n\n@mark.parametrize(\n    \"overrides,output\",\n    [\n        ([], \"MySQL connecting to localhost\"),\n        ([\"db=postgresql\"], \"PostgreSQL connecting to localhost\"),\n    ],\n)\ndef test_instantiate_schema(tmpdir: Path, overrides: List[str], output: str) -> None:\n    cmd = [\n        \"examples/instantiate/schema/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ] + overrides\n    result, _err = run_python_script(cmd)\n    assert result == output", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_missing_conf_file_test_run_dir.run_python_script_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_missing_conf_file_test_run_dir.run_python_script_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 49, "end_line": 75, "span_ids": ["test_run_dir", "test_missing_conf_file"], "tokens": 167}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"calling_file, calling_module\",\n    [\n        (\"tests/test_apps/app_without_config/my_app.py\", None),\n        (None, \"tests.test_apps.app_without_config.my_app\"),\n    ],\n)\ndef test_missing_conf_file(\n    hydra_restore_singletons: Any,\n    hydra_task_runner: TTaskRunner,\n    calling_file: str,\n    calling_module: str,\n) -> None:\n    with raises(MissingConfigException):\n        with hydra_task_runner(\n            calling_file=calling_file,\n            calling_module=calling_module,\n            config_path=None,\n            config_name=\"not_found.yaml\",\n        ):\n            pass\n\n\ndef test_run_dir() -> None:\n    run_python_script(\n        [\"tests/test_apps/run_dir_test/my_app.py\", \"hydra.job.chdir=True\"]\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_schema_overrides_hydra_test_schema_overrides_hydra.assert_result_job_nam": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_schema_overrides_hydra_test_schema_overrides_hydra.assert_result_job_nam", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1321, "end_line": 1329, "span_ids": ["test_schema_overrides_hydra"], "tokens": 104}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_schema_overrides_hydra(monkeypatch: Any, tmpdir: Path) -> None:\n    monkeypatch.chdir(\"tests/test_apps/schema_overrides_hydra\")\n    cmd = [\n        \"my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    result, _err = run_python_script(cmd)\n    assert result == \"job_name: test, name: James Bond, age: 7, group: a\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_defaults_pkg_with_dot_test_defaults_pkg_with_dot.assert_OmegaConf_create_r": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_defaults_pkg_with_dot_test_defaults_pkg_with_dot.assert_OmegaConf_create_r", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1298, "end_line": 1308, "span_ids": ["test_defaults_pkg_with_dot"], "tokens": 111}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_defaults_pkg_with_dot(monkeypatch: Any, tmpdir: Path) -> None:\n    monkeypatch.chdir(\"tests/test_apps/defaults_pkg_with_dot\")\n    cmd = [\n        \"my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    result, _err = run_python_script(cmd)\n    assert OmegaConf.create(result) == {\n        \"dataset\": {\"test\": {\"name\": \"imagenet\", \"path\": \"/datasets/imagenet\"}}\n    }", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_job_exception_full_error_test_job_exception_full_error.assert_Set_the_environme": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_job_exception_full_error_test_job_exception_full_error.assert_Set_the_environme", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1365, "end_line": 1376, "span_ids": ["test_job_exception_full_error"], "tokens": 106}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_job_exception_full_error(tmpdir: Any) -> None:\n    ret = run_with_error(\n        [\n            \"tests/test_apps/app_exception/my_app.py\",\n            f\"hydra.run.dir={tmpdir}\",\n            \"hydra.job.chdir=True\",\n        ],\n        env={**os.environ, \"HYDRA_FULL_ERROR\": \"1\"},\n    )\n\n    assert \"ZeroDivisionError: division by zero\" in ret\n    assert \"Set the environment variable HYDRA_FULL_ERROR=1\" not in ret", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_structured_with_none_list_test_job_id_and_num_in_sweep.integration_test_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_structured_with_none_list_test_job_id_and_num_in_sweep.integration_test_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1379, "end_line": 1409, "span_ids": ["test_job_id_and_num_in_sweep", "test_self_hydra_config_interpolation_integration", "test_structured_with_none_list"], "tokens": 240}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_structured_with_none_list(monkeypatch: Any, tmpdir: Path) -> None:\n    monkeypatch.chdir(\"tests/test_apps/structured_with_none_list\")\n    cmd = [\n        \"my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    result, _err = run_python_script(cmd)\n    assert result == \"{'list': None}\"\n\n\ndef test_self_hydra_config_interpolation_integration(tmpdir: Path) -> None:\n    cfg = OmegaConf.create()\n    integration_test(\n        tmpdir=tmpdir,\n        task_config=cfg,\n        overrides=[],\n        prints=\"HydraConfig.get().job_logging.handlers.file.filename\",\n        expected_outputs=r\".+task.log$\",\n    )\n\n\ndef test_job_id_and_num_in_sweep(tmpdir: Path) -> None:\n    cfg = OmegaConf.create()\n    integration_test(\n        tmpdir=tmpdir,\n        task_config=cfg,\n        overrides=[\"-m\"],\n        prints=[\"HydraConfig.get().job.id\", \"str(HydraConfig.get().job.num)\"],\n        expected_outputs=[\"0\", \"0\"],\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_main_without_config_path_test_hydra_main_without_config_path.assert_regex_match_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_main_without_config_path_test_hydra_main_without_config_path.assert_regex_match_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1446, "end_line": 1472, "span_ids": ["test_hydra_main_without_config_path"], "tokens": 232}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_hydra_main_without_config_path(tmpdir: Path) -> None:\n    cmd = [\n        \"tests/test_apps/hydra_main_without_config_path/my_app.py\",\n        f\"hydra.run.dir={tmpdir}\",\n        \"hydra.job.chdir=True\",\n    ]\n    _, err = run_python_script(cmd, allow_warnings=True)\n\n    expected = dedent(\n        f\"\"\"\n        .*my_app.py:7: UserWarning:\n        The version_base parameter is not specified.\n        Please specify a compatability version level, or None.\n        Will assume defaults for version {version.__compat_version__}\n          @hydra.main()\n        .*my_app.py:7: UserWarning:\n        config_path is not specified in @hydra.main().\n        See https://hydra.cc/docs/next/upgrades/1.0_to_1.1/changes_to_hydra_main_config_path for more information.\n          @hydra.main()\n        \"\"\"\n    )\n    assert_regex_match(\n        from_line=expected,\n        to_line=err,\n        from_name=\"Expected error\",\n        to_name=\"Actual error\",\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_job_chdir_not_specified_test_app_with_unicode_config.assert_out_config_\u6570\u636e": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_job_chdir_not_specified_test_app_with_unicode_config.assert_out_config_\u6570\u636e", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1475, "end_line": 1504, "span_ids": ["test_job_chdir_not_specified", "test_app_with_unicode_config"], "tokens": 236}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_job_chdir_not_specified(tmpdir: Path) -> None:\n    cmd = [\n        \"tests/test_apps/app_with_no_chdir_override/my_app.py\",\n        f\"hydra.run.dir={tmpdir}\",\n    ]\n    out, err = run_python_script(cmd, allow_warnings=True)\n\n    expected = dedent(\n        \"\"\"\n        .*UserWarning: Future Hydra versions will no longer change working directory at job runtime by default.\n        See https://hydra.cc/docs/next/upgrades/1.1_to_1.2/changes_to_job_working_dir/ for more information..*\n        .*\n        \"\"\"\n    )\n    assert_regex_match(\n        from_line=expected,\n        to_line=err,\n        from_name=\"Expected error\",\n        to_name=\"Actual error\",\n    )\n\n\ndef test_app_with_unicode_config(tmpdir: Path) -> None:\n    cmd = [\n        \"tests/test_apps/app_with_unicode_in_config/my_app.py\",\n        f\"hydra.run.dir={tmpdir}\",\n        \"hydra.job.chdir=True\",\n    ]\n    out, _ = run_python_script(cmd)\n    assert out == \"config: \u6570\u636e\u5e93\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_deprecation_warning_test_hydra_deprecation_warning.assert_multiline_regex_se": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_deprecation_warning_test_hydra_deprecation_warning.assert_multiline_regex_se", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1493, "end_line": 1534, "span_ids": ["test_hydra_deprecation_warning"], "tokens": 347}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"env_deprecation_err,expected\",\n    [\n        param(\n            False,\n            r\"^\\S*[/\\\\]my_app\\.py:10: UserWarning: Feature FooBar is deprecated$\",\n            id=\"deprecation_warning\",\n        ),\n        param(\n            True,\n            dedent(\n                r\"\"\"\n                ^Error executing job with overrides: \\[\\]\\n?\n                Traceback \\(most recent call last\\):\n                  File \"\\S*[/\\\\]my_app.py\", line 10, in my_app\n                    deprecation_warning\\(\"Feature FooBar is deprecated\"\\)\n                  File \"\\S*\\.py\", line 11, in deprecation_warning\n                    raise HydraDeprecationError\\(.*\\)\n                hydra\\.errors\\.HydraDeprecationError: Feature FooBar is deprecated\n\n                Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace\\.$\n                \"\"\"\n            ).strip(),\n            id=\"deprecation_error\",\n        ),\n    ],\n)\ndef test_hydra_deprecation_warning(\n    env_deprecation_err: bool, expected: str, tmpdir: Path\n) -> None:\n    cmd = [\n        \"tests/test_apps/deprecation_warning/my_app.py\",\n        f\"hydra.run.dir={tmpdir}\",\n        \"hydra.job.chdir=True\",\n    ]\n    env = os.environ.copy()\n    if env_deprecation_err:\n        env[\"HYDRA_DEPRECATION_WARNINGS_AS_ERRORS\"] = \"1\"\n    _, err = run_python_script(\n        cmd, env=env, allow_warnings=True, print_error=False, raise_exception=False\n    )\n    assert_multiline_regex_search(expected, err)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_disable_chdir_test_disable_chdir.for_p_in_expected_.assert_Path_path_exists_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_disable_chdir_test_disable_chdir.for_p_in_expected_.assert_Path_path_exists_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1537, "end_line": 1557, "span_ids": ["test_disable_chdir"], "tokens": 203}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"multirun,expected\",\n    [\n        (False, [\"my_app.log\", \".hydra/config.yaml\"]),\n        (True, [\"0/my_app.log\", \"0/.hydra/config.yaml\", \"multirun.yaml\"]),\n    ],\n)\ndef test_disable_chdir(tmpdir: Path, multirun: bool, expected: List[str]) -> None:\n    cmd = [\n        \"examples/tutorials/basic/running_your_hydra_app/3_working_directory/my_app.py\",\n        f\"hydra.run.dir={tmpdir}\",\n        f\"hydra.sweep.dir={tmpdir}\",\n        \"hydra.job.chdir=False\",\n    ]\n    if multirun:\n        cmd += [\"-m\"]\n    result, _err = run_python_script(cmd)\n    assert f\"Working directory : {os.getcwd()}\" in result\n    for p in expected:\n        path = os.path.join(str(tmpdir), p)\n        assert Path(path).exists()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/experimental/rerun/my_app.py_logging_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/experimental/rerun/my_app.py_logging_", "embedding": null, "metadata": {"file_path": "examples/experimental/rerun/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 21, "span_ids": ["my_app", "impl:3", "docstring"], "tokens": 101}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\n\nfrom omegaconf import DictConfig\n\nimport hydra\nfrom hydra.core.hydra_config import HydraConfig\n\nlog = logging.getLogger(__name__)\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    log.info(f\"Output_dir={HydraConfig.get().runtime.output_dir}\")\n    log.info(f\"cfg.foo={cfg.foo}\")\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_registered_plugin/example_registered_plugin/__init__.py_from_hydra_core_plugins_i_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_registered_plugin/example_registered_plugin/__init__.py_from_hydra_core_plugins_i_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_registered_plugin/example_registered_plugin/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 17, "span_ids": ["ExampleRegisteredPlugin.__init__", "ExampleRegisteredPlugin", "docstring", "register_example_plugin", "ExampleRegisteredPlugin.add"], "tokens": 96}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from hydra.core.plugins import Plugins\nfrom hydra.plugins.plugin import Plugin\n\n\nclass ExampleRegisteredPlugin(Plugin):\n    def __init__(self, v: int) -> None:\n        self.v = v\n\n    def add(self, x: int) -> int:\n        return self.v + x\n\n\ndef register_example_plugin() -> None:\n    \"\"\"The Hydra user should call this function before invoking @hydra.main\"\"\"\n    Plugins.instance().register(ExampleRegisteredPlugin)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_registered_plugin/setup.py_from_setuptools_import_se_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_registered_plugin/setup.py_from_setuptools_import_se_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_registered_plugin/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 36, "span_ids": ["docstring"], "tokens": 286}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from setuptools import setup\n\nwith open(\"README.md\", \"r\") as fh:\n    LONG_DESC = fh.read()\nsetup(\n    name=\"hydra-example-registered-plugin\",\n    version=\"1.0.0\",\n    author=\"Jasha Sommer-Simpson\",\n    author_email=\"jasha10@fb.com\",\n    description=\"Example of Hydra Plugin Registration\",\n    long_description=LONG_DESC,\n    long_description_content_type=\"text/markdown\",\n    url=\"https://github.com/facebookresearch/hydra/\",\n    packages=[\"example_registered_plugin\"],\n    classifiers=[\n        # Feel free to use another license.\n        \"License :: OSI Approved :: MIT License\",\n        # Hydra uses Python version and Operating system to determine\n        # In which environments to test this plugin\n        \"Programming Language :: Python :: 3.6\",\n        \"Programming Language :: Python :: 3.7\",\n        \"Programming Language :: Python :: 3.8\",\n        \"Programming Language :: Python :: 3.9\",\n        \"Programming Language :: Python :: 3.10\",\n        \"Operating System :: OS Independent\",\n    ],\n    install_requires=[\n        # consider pinning to a specific major version of Hydra to avoid unexpected problems\n        # if a new major version of Hydra introduces breaking changes for plugins.\n        # e.g: \"hydra-core==1.1.*\",\n        \"hydra-core\",\n    ],\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_registered_plugin/tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_registered_plugin/tests/__init__.py__", "embedding": null, "metadata": {"file_path": "examples/plugins/example_registered_plugin/tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_registered_plugin/tests/test_example_registered_plugin.py_from_hydra_core_plugins_i_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/examples/plugins/example_registered_plugin/tests/test_example_registered_plugin.py_from_hydra_core_plugins_i_", "embedding": null, "metadata": {"file_path": "examples/plugins/example_registered_plugin/tests/test_example_registered_plugin.py", "file_name": "test_example_registered_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 23, "span_ids": ["test_discovery", "test_example_plugin", "docstring"], "tokens": 136}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from hydra.core.plugins import Plugins\nfrom hydra.plugins.plugin import Plugin\n\nfrom example_registered_plugin import ExampleRegisteredPlugin, register_example_plugin\n\n\ndef test_discovery() -> None:\n    # Tests that this plugin can be discovered after Plugins.register is called\n\n    plugin_name = ExampleRegisteredPlugin.__name__\n\n    assert plugin_name not in [x.__name__ for x in Plugins.instance().discover(Plugin)]\n\n    register_example_plugin()\n\n    assert plugin_name in [x.__name__ for x in Plugins.instance().discover(Plugin)]\n\n\ndef test_example_plugin() -> None:\n    a = ExampleRegisteredPlugin(10)\n    assert a.add(20) == 30", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/importlib_resources_config_source.py_os_if_TYPE_CHECKING_or_sys_.else_._Use_importlib_backport_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/importlib_resources_config_source.py_os_if_TYPE_CHECKING_or_sys_.else_._Use_importlib_backport_", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/importlib_resources_config_source.py", "file_name": "importlib_resources_config_source.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 18, "span_ids": ["docstring"], "tokens": 120}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import os\nimport sys\nimport zipfile\nfrom typing import TYPE_CHECKING, Any, List, Optional\n\nfrom omegaconf import OmegaConf\n\nfrom hydra.core.object_type import ObjectType\nfrom hydra.plugins.config_source import ConfigLoadError, ConfigResult, ConfigSource\n\nif TYPE_CHECKING or (sys.version_info < (3, 9)):\n    import importlib_resources as resources\nelse:\n    from importlib import resources\n\n    # Relevant issue: https://github.com/python/mypy/issues/1153\n    # Use importlib backport for Python older than 3.9", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/importlib_resources_config_source.py_ImportlibResourcesConfigSource.load_config_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/core_plugins/importlib_resources_config_source.py_ImportlibResourcesConfigSource.load_config_", "embedding": null, "metadata": {"file_path": "hydra/_internal/core_plugins/importlib_resources_config_source.py", "file_name": "importlib_resources_config_source.py", "file_type": "text/x-python", "category": "implementation", "start_line": 54, "end_line": 104, "span_ids": ["ImportlibResourcesConfigSource.available", "ImportlibResourcesConfigSource.list", "ImportlibResourcesConfigSource.load_config", "ImportlibResourcesConfigSource.is_group", "ImportlibResourcesConfigSource.is_config"], "tokens": 397}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class ImportlibResourcesConfigSource(ConfigSource):\n\n    def load_config(self, config_path: str) -> ConfigResult:\n        normalized_config_path = self._normalize_file_name(config_path)\n        res = resources.files(self.path).joinpath(normalized_config_path)\n        if not res.exists():\n            raise ConfigLoadError(f\"Config not found : {normalized_config_path}\")\n\n        return self._read_config(res)\n\n    def available(self) -> bool:\n        try:\n            files = resources.files(self.path)\n        except (ValueError, ModuleNotFoundError, TypeError):\n            return False\n        return any(f.name == \"__init__.py\" and f.is_file() for f in files.iterdir())\n\n    def is_group(self, config_path: str) -> bool:\n        try:\n            files = resources.files(self.path)\n        except (ValueError, ModuleNotFoundError, TypeError):\n            return False\n\n        res = files.joinpath(config_path)\n        ret = res.exists() and res.is_dir()\n        assert isinstance(ret, bool)\n        return ret\n\n    def is_config(self, config_path: str) -> bool:\n        config_path = self._normalize_file_name(config_path)\n        try:\n            files = resources.files(self.path)\n        except (ValueError, ModuleNotFoundError, TypeError):\n            return False\n        res = files.joinpath(config_path)\n        ret = res.exists() and res.is_file()\n        assert isinstance(ret, bool)\n        return ret\n\n    def list(self, config_path: str, results_filter: Optional[ObjectType]) -> List[str]:\n        files: List[str] = []\n        for file in resources.files(self.path).joinpath(config_path).iterdir():\n            fname = file.name\n            fpath = os.path.join(config_path, fname)\n            self._list_add_result(\n                files=files,\n                file_path=fpath,\n                file_name=fname,\n                results_filter=results_filter,\n            )\n\n        return sorted(list(set(files)))", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra_Hydra.get_mode.try_.except_Exception_.return.None": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/hydra.py_Hydra_Hydra.get_mode.try_.except_Exception_.return.None", "embedding": null, "metadata": {"file_path": "hydra/_internal/hydra.py", "file_name": "hydra.py", "file_type": "text/x-python", "category": "implementation", "start_line": 40, "end_line": 96, "span_ids": ["Hydra.get_mode", "Hydra.__init__", "Hydra", "Hydra.create_main_hydra2", "Hydra.create_main_hydra_file_or_module"], "tokens": 358}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Hydra:\n    @classmethod\n    def create_main_hydra_file_or_module(\n        cls: Type[\"Hydra\"],\n        calling_file: Optional[str],\n        calling_module: Optional[str],\n        config_path: Optional[str],\n        job_name: str,\n    ) -> \"Hydra\":\n        config_search_path = create_automatic_config_search_path(\n            calling_file, calling_module, config_path\n        )\n\n        return Hydra.create_main_hydra2(job_name, config_search_path)\n\n    @classmethod\n    def create_main_hydra2(\n        cls,\n        task_name: str,\n        config_search_path: ConfigSearchPath,\n    ) -> \"Hydra\":\n        config_loader: ConfigLoader = ConfigLoaderImpl(\n            config_search_path=config_search_path\n        )\n\n        hydra = cls(task_name=task_name, config_loader=config_loader)\n        from hydra.core.global_hydra import GlobalHydra\n\n        GlobalHydra.instance().initialize(hydra)\n        return hydra\n\n    def __init__(self, task_name: str, config_loader: ConfigLoader) -> None:\n        \"\"\"\n        :param task_name: task name\n        :param config_loader: config loader\n        \"\"\"\n        setup_globals()\n\n        self.config_loader = config_loader\n        JobRuntime().set(\"name\", task_name)\n\n    def get_mode(\n        self,\n        config_name: Optional[str],\n        overrides: List[str],\n    ) -> Any:\n        try:\n            cfg = self.compose_config(\n                config_name=config_name,\n                overrides=overrides,\n                with_log_configuration=False,\n                run_mode=RunMode.MULTIRUN,\n                validate_sweep_overrides=False,\n            )\n            return cfg.hydra.mode\n        except Exception:\n            return None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/instantiate/_instantiate2.py__call_target__call_target.if__partial__.else_.try_.except_Exception_as_e_.raise_InstantiationExcept": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/instantiate/_instantiate2.py__call_target__call_target.if__partial__.else_.try_.except_Exception_as_e_.raise_InstantiationExcept", "embedding": null, "metadata": {"file_path": "hydra/_internal/instantiate/_instantiate2.py", "file_name": "_instantiate2.py", "file_type": "text/x-python", "category": "implementation", "start_line": 50, "end_line": 97, "span_ids": ["_call_target"], "tokens": 386}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _call_target(\n    _target_: Callable[..., Any],\n    _partial_: bool,\n    args: Tuple[Any, ...],\n    kwargs: Dict[str, Any],\n    full_key: str,\n) -> Any:\n    \"\"\"Call target (type) with args and kwargs.\"\"\"\n    try:\n        args, kwargs = _extract_pos_args(args, kwargs)\n        # detaching configs from parent.\n        # At this time, everything is resolved and the parent link can cause\n        # issues when serializing objects in some scenarios.\n        for arg in args:\n            if OmegaConf.is_config(arg):\n                arg._set_parent(None)\n        for v in kwargs.values():\n            if OmegaConf.is_config(v):\n                v._set_parent(None)\n    except Exception as e:\n        msg = (\n            f\"Error in collecting args and kwargs for '{_convert_target_to_string(_target_)}':\"\n            + f\"\\n{repr(e)}\"\n        )\n        if full_key:\n            msg += f\"\\nfull_key: {full_key}\"\n\n        raise InstantiationException(msg) from e\n\n    if _partial_:\n        try:\n            return functools.partial(_target_, *args, **kwargs)\n        except Exception as e:\n            msg = (\n                f\"Error in creating partial({_convert_target_to_string(_target_)}, ...) object:\"\n                + f\"\\n{repr(e)}\"\n            )\n            if full_key:\n                msg += f\"\\nfull_key: {full_key}\"\n            raise InstantiationException(msg) from e\n    else:\n        try:\n            return _target_(*args, **kwargs)\n        except Exception as e:\n            msg = f\"Error in call to target '{_convert_target_to_string(_target_)}':\\n{repr(e)}\"\n            if full_key:\n                msg += f\"\\nfull_key: {full_key}\"\n            raise InstantiationException(msg) from e", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/instantiate/_instantiate2.py__convert_target_to_string__prepare_input_dict_or_list.return.res": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/instantiate/_instantiate2.py__convert_target_to_string__prepare_input_dict_or_list.return.res", "embedding": null, "metadata": {"file_path": "hydra/_internal/instantiate/_instantiate2.py", "file_name": "_instantiate2.py", "file_type": "text/x-python", "category": "implementation", "start_line": 100, "end_line": 125, "span_ids": ["_prepare_input_dict_or_list", "_convert_target_to_string"], "tokens": 189}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _convert_target_to_string(t: Any) -> Any:\n    if callable(t):\n        return f\"{t.__module__}.{t.__qualname__}\"\n    else:\n        return t\n\n\ndef _prepare_input_dict_or_list(d: Union[Dict[Any, Any], List[Any]]) -> Any:\n    res: Any\n    if isinstance(d, dict):\n        res = {}\n        for k, v in d.items():\n            if k == \"_target_\":\n                v = _convert_target_to_string(d[\"_target_\"])\n            elif isinstance(v, (dict, list)):\n                v = _prepare_input_dict_or_list(v)\n            res[k] = v\n    elif isinstance(d, list):\n        res = []\n        for v in d:\n            if isinstance(v, (list, dict)):\n                v = _prepare_input_dict_or_list(v)\n            res.append(v)\n    else:\n        assert False\n    return res", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/instantiate/_instantiate2.py__resolve_target__resolve_target.return.target": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/instantiate/_instantiate2.py__resolve_target__resolve_target.return.target", "embedding": null, "metadata": {"file_path": "hydra/_internal/instantiate/_instantiate2.py", "file_name": "_instantiate2.py", "file_type": "text/x-python", "category": "implementation", "start_line": 128, "end_line": 145, "span_ids": ["_resolve_target"], "tokens": 168}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _resolve_target(\n    target: Union[str, type, Callable[..., Any]], full_key: str\n) -> Union[type, Callable[..., Any]]:\n    \"\"\"Resolve target string, type or callable into type or callable.\"\"\"\n    if isinstance(target, str):\n        try:\n            target = _locate(target)\n        except Exception as e:\n            msg = f\"Error locating target '{target}', see chained exception above.\"\n            if full_key:\n                msg += f\"\\nfull_key: {full_key}\"\n            raise InstantiationException(msg) from e\n    if not callable(target):\n        msg = f\"Expected a callable target, got '{target}' of type '{type(target).__name__}'\"\n        if full_key:\n            msg += f\"\\nfull_key: {full_key}\"\n        raise InstantiationException(msg)\n    return target", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/instantiate/_instantiate2.py_instantiate_instantiate.if_is_structured_config_c.config.OmegaConf_structured_conf": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/instantiate/_instantiate2.py_instantiate_instantiate.if_is_structured_config_c.config.OmegaConf_structured_conf", "embedding": null, "metadata": {"file_path": "hydra/_internal/instantiate/_instantiate2.py", "file_name": "_instantiate2.py", "file_type": "text/x-python", "category": "implementation", "start_line": 148, "end_line": 202, "span_ids": ["instantiate"], "tokens": 553}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def instantiate(config: Any, *args: Any, **kwargs: Any) -> Any:\n    \"\"\"\n    :param config: An config object describing what to call and what params to use.\n                   In addition to the parameters, the config must contain:\n                   _target_ : target class or callable name (str)\n                   And may contain:\n                   _args_: List-like of positional arguments to pass to the target\n                   _recursive_: Construct nested objects as well (bool).\n                                True by default.\n                                may be overridden via a _recursive_ key in\n                                the kwargs\n                   _convert_: Conversion strategy\n                        none    : Passed objects are DictConfig and ListConfig, default\n                        partial : Passed objects are converted to dict and list, with\n                                  the exception of Structured Configs (and their fields).\n                        all     : Passed objects are dicts, lists and primitives without\n                                  a trace of OmegaConf containers\n                   _partial_: If True, return functools.partial wrapped method or object\n                              False by default. Configure per target.\n    :param args: Optional positional parameters pass-through\n    :param kwargs: Optional named parameters to override\n                   parameters in the config object. Parameters not present\n                   in the config objects are being passed as is to the target.\n                   IMPORTANT: dataclasses instances in kwargs are interpreted as config\n                              and cannot be used as passthrough\n    :return: if _target_ is a class name: the instantiated object\n             if _target_ is a callable: the return value of the call\n    \"\"\"\n\n    # Return None if config is None\n    if config is None:\n        return None\n\n    # TargetConf edge case\n    if isinstance(config, TargetConf) and config._target_ == \"???\":\n        # Specific check to give a good warning about failure to annotate _target_ as a string.\n        raise InstantiationException(\n            dedent(\n                f\"\"\"\\\n                Config has missing value for key `_target_`, cannot instantiate.\n                Config type: {type(config).__name__}\n                Check that the `_target_` key in your dataclass is properly annotated and overridden.\n                A common problem is forgetting to annotate _target_ as a string : '_target_: str = ...'\"\"\"\n            )\n        )\n        # TODO: print full key\n\n    if isinstance(config, (dict, list)):\n        config = _prepare_input_dict_or_list(config)\n\n    kwargs = _prepare_input_dict_or_list(kwargs)\n\n    # Structured Config always converted first to OmegaConf\n    if is_structured_config(config) or isinstance(config, (dict, list)):\n        config = OmegaConf.structured(config, flags={\"allow_objects\": True})\n    # ... other code", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/instantiate/_instantiate2.py_instantiate.if_OmegaConf_is_dict_conf__convert_node.return.node": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/instantiate/_instantiate2.py_instantiate.if_OmegaConf_is_dict_conf__convert_node.return.node", "embedding": null, "metadata": {"file_path": "hydra/_internal/instantiate/_instantiate2.py", "file_name": "_instantiate2.py", "file_type": "text/x-python", "category": "implementation", "start_line": 204, "end_line": 267, "span_ids": ["_convert_node", "instantiate"], "tokens": 528}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def instantiate(config: Any, *args: Any, **kwargs: Any) -> Any:\n    # ... other code\n\n    if OmegaConf.is_dict(config):\n        # Finalize config (convert targets to strings, merge with kwargs)\n        config_copy = copy.deepcopy(config)\n        config_copy._set_flag(\n            flags=[\"allow_objects\", \"struct\", \"readonly\"], values=[True, False, False]\n        )\n        config_copy._set_parent(config._get_parent())\n        config = config_copy\n\n        if kwargs:\n            config = OmegaConf.merge(config, kwargs)\n\n        OmegaConf.resolve(config)\n\n        _recursive_ = config.pop(_Keys.RECURSIVE, True)\n        _convert_ = config.pop(_Keys.CONVERT, ConvertMode.NONE)\n        _partial_ = config.pop(_Keys.PARTIAL, False)\n\n        return instantiate_node(\n            config, *args, recursive=_recursive_, convert=_convert_, partial=_partial_\n        )\n    elif OmegaConf.is_list(config):\n        # Finalize config (convert targets to strings, merge with kwargs)\n        config_copy = copy.deepcopy(config)\n        config_copy._set_flag(\n            flags=[\"allow_objects\", \"struct\", \"readonly\"], values=[True, False, False]\n        )\n        config_copy._set_parent(config._get_parent())\n        config = config_copy\n\n        OmegaConf.resolve(config)\n\n        _recursive_ = kwargs.pop(_Keys.RECURSIVE, True)\n        _convert_ = kwargs.pop(_Keys.CONVERT, ConvertMode.NONE)\n        _partial_ = kwargs.pop(_Keys.PARTIAL, False)\n\n        if _partial_:\n            raise InstantiationException(\n                \"The _partial_ keyword is not compatible with top-level list instantiation\"\n            )\n\n        return instantiate_node(\n            config, *args, recursive=_recursive_, convert=_convert_, partial=_partial_\n        )\n    else:\n        raise InstantiationException(\n            dedent(\n                f\"\"\"\\\n                Cannot instantiate config of type {type(config).__name__}.\n                Top level config must be an OmegaConf DictConfig/ListConfig object,\n                a plain dict/list, or a Structured Config class or instance.\"\"\"\n            )\n        )\n\n\ndef _convert_node(node: Any, convert: Union[ConvertMode, str]) -> Any:\n    if OmegaConf.is_config(node):\n        if convert == ConvertMode.ALL:\n            node = OmegaConf.to_container(node, resolve=True)\n        elif convert == ConvertMode.PARTIAL:\n            node = OmegaConf.to_container(\n                node, resolve=True, structured_config_mode=SCMode.DICT_CONFIG\n            )\n    return node", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/instantiate/_instantiate2.py_instantiate_node_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/instantiate/_instantiate2.py_instantiate_node_", "embedding": null, "metadata": {"file_path": "hydra/_internal/instantiate/_instantiate2.py", "file_name": "_instantiate2.py", "file_type": "text/x-python", "category": "implementation", "start_line": 270, "end_line": 366, "span_ids": ["instantiate_node"], "tokens": 825}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def instantiate_node(\n    node: Any,\n    *args: Any,\n    convert: Union[str, ConvertMode] = ConvertMode.NONE,\n    recursive: bool = True,\n    partial: bool = False,\n) -> Any:\n    # Return None if config is None\n    if node is None or (OmegaConf.is_config(node) and node._is_none()):\n        return None\n\n    if not OmegaConf.is_config(node):\n        return node\n\n    # Override parent modes from config if specified\n    if OmegaConf.is_dict(node):\n        # using getitem instead of get(key, default) because OmegaConf will raise an exception\n        # if the key type is incompatible on get.\n        convert = node[_Keys.CONVERT] if _Keys.CONVERT in node else convert\n        recursive = node[_Keys.RECURSIVE] if _Keys.RECURSIVE in node else recursive\n        partial = node[_Keys.PARTIAL] if _Keys.PARTIAL in node else partial\n\n    full_key = node._get_full_key(None)\n\n    if not isinstance(recursive, bool):\n        msg = f\"Instantiation: _recursive_ flag must be a bool, got {type(recursive)}\"\n        if full_key:\n            msg += f\"\\nfull_key: {full_key}\"\n        raise TypeError(msg)\n\n    if not isinstance(partial, bool):\n        msg = f\"Instantiation: _partial_ flag must be a bool, got {type( partial )}\"\n        if node and full_key:\n            msg += f\"\\nfull_key: {full_key}\"\n        raise TypeError(msg)\n\n    # If OmegaConf list, create new list of instances if recursive\n    if OmegaConf.is_list(node):\n        items = [\n            instantiate_node(item, convert=convert, recursive=recursive)\n            for item in node._iter_ex(resolve=True)\n        ]\n\n        if convert in (ConvertMode.ALL, ConvertMode.PARTIAL):\n            # If ALL or PARTIAL, use plain list as container\n            return items\n        else:\n            # Otherwise, use ListConfig as container\n            lst = OmegaConf.create(items, flags={\"allow_objects\": True})\n            lst._set_parent(node)\n            return lst\n\n    elif OmegaConf.is_dict(node):\n        exclude_keys = set({\"_target_\", \"_convert_\", \"_recursive_\", \"_partial_\"})\n        if _is_target(node):\n            _target_ = _resolve_target(node.get(_Keys.TARGET), full_key)\n            kwargs = {}\n            is_partial = node.get(\"_partial_\", False) or partial\n            for key in node.keys():\n                if key not in exclude_keys:\n                    if OmegaConf.is_missing(node, key) and is_partial:\n                        continue\n                    value = node[key]\n                    if recursive:\n                        value = instantiate_node(\n                            value, convert=convert, recursive=recursive\n                        )\n                    kwargs[key] = _convert_node(value, convert)\n\n            return _call_target(_target_, partial, args, kwargs, full_key)\n        else:\n            # If ALL or PARTIAL non structured, instantiate in dict and resolve interpolations eagerly.\n            if convert == ConvertMode.ALL or (\n                convert == ConvertMode.PARTIAL\n                and node._metadata.object_type in (None, dict)\n            ):\n                dict_items = {}\n                for key, value in node.items():\n                    # list items inherits recursive flag from the containing dict.\n                    dict_items[key] = instantiate_node(\n                        value, convert=convert, recursive=recursive\n                    )\n                return dict_items\n            else:\n                # Otherwise use DictConfig and resolve interpolations lazily.\n                cfg = OmegaConf.create({}, flags={\"allow_objects\": True})\n                for key, value in node.items():\n                    cfg[key] = instantiate_node(\n                        value, convert=convert, recursive=recursive\n                    )\n                cfg._set_parent(node)\n                cfg._metadata.object_type = node._metadata.object_type\n                return cfg\n\n    else:\n        assert False, f\"Unexpected config type : {type(node).__name__}\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py__run_app__run_app.if_mode_RunMode_RUN_.else_.run_and_report_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/_internal/utils.py__run_app__run_app.if_mode_RunMode_RUN_.else_.run_and_report_", "embedding": null, "metadata": {"file_path": "hydra/_internal/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 425, "end_line": 466, "span_ids": ["_run_app"], "tokens": 263}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _run_app(\n    run: bool,\n    multirun: bool,\n    mode: Optional[RunMode],\n    hydra: Any,\n    config_name: Optional[str],\n    task_function: TaskFunction,\n    overrides: List[str],\n) -> None:\n    if mode is None:\n        if run:\n            mode = RunMode.RUN\n            overrides.extend([\"hydra.mode=RUN\"])\n        else:\n            mode = RunMode.MULTIRUN\n            overrides.extend([\"hydra.mode=MULTIRUN\"])\n    else:\n        if multirun and mode == RunMode.RUN:\n            warnings.warn(\n                message=\"\\n\"\n                \"\\tRunning Hydra app with --multirun, overriding with `hydra.mode=MULTIRUN`.\",\n                category=UserWarning,\n            )\n            mode = RunMode.MULTIRUN\n            overrides.extend([\"hydra.mode=MULTIRUN\"])\n\n    if mode == RunMode.RUN:\n        run_and_report(\n            lambda: hydra.run(\n                config_name=config_name,\n                task_function=task_function,\n                overrides=overrides,\n            )\n        )\n    else:\n        run_and_report(\n            lambda: hydra.multirun(\n                config_name=config_name,\n                task_function=task_function,\n                overrides=overrides,\n            )\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/plugins.py_Plugins._initialize_Plugins._initialize.for_clazz_in_scanned_plug.self__register_clazz_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/plugins.py_Plugins._initialize_Plugins._initialize.for_clazz_in_scanned_plug.self__register_clazz_", "embedding": null, "metadata": {"file_path": "hydra/core/plugins.py", "file_name": "plugins.py", "file_type": "text/x-python", "category": "implementation", "start_line": 56, "end_line": 73, "span_ids": ["Plugins._initialize"], "tokens": 148}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Plugins(metaclass=Singleton):\n\n    def _initialize(self) -> None:\n        top_level: List[Any] = []\n        core_plugins = importlib.import_module(\"hydra._internal.core_plugins\")\n        top_level.append(core_plugins)\n\n        try:\n            hydra_plugins = importlib.import_module(\"hydra_plugins\")\n            top_level.append(hydra_plugins)\n        except ImportError:\n            # If no plugins are installed the hydra_plugins package does not exist.\n            pass\n\n        self.plugin_type_to_subclass_list = defaultdict(list)\n        self.class_name_to_class = {}\n\n        scanned_plugins, self.stats = self._scan_all_plugins(modules=top_level)\n        for clazz in scanned_plugins:\n            self._register(clazz)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/plugins.py_Plugins.register_Plugins._register.if_issubclass_clazz_Conf.SourcesRegistry_instance_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/plugins.py_Plugins.register_Plugins._register.if_issubclass_clazz_Conf.SourcesRegistry_instance_", "embedding": null, "metadata": {"file_path": "hydra/core/plugins.py", "file_name": "plugins.py", "file_type": "text/x-python", "category": "implementation", "start_line": 75, "end_line": 92, "span_ids": ["Plugins.register", "Plugins._register"], "tokens": 185}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Plugins(metaclass=Singleton):\n\n    def register(self, clazz: Type[Plugin]) -> None:\n        \"\"\"\n        Call Plugins.instance().register(MyPlugin) to manually register a plugin class.\n        \"\"\"\n        if not _is_concrete_plugin_type(clazz):\n            raise ValueError(\"Not a valid Hydra Plugin\")\n        self._register(clazz)\n\n    def _register(self, clazz: Type[Plugin]) -> None:\n        assert _is_concrete_plugin_type(clazz)\n        for plugin_type in PLUGIN_TYPES:\n            if issubclass(clazz, plugin_type):\n                if clazz not in self.plugin_type_to_subclass_list[plugin_type]:\n                    self.plugin_type_to_subclass_list[plugin_type].append(clazz)\n        name = f\"{clazz.__module__}.{clazz.__name__}\"\n        self.class_name_to_class[name] = clazz\n        if issubclass(clazz, ConfigSource):\n            SourcesRegistry.instance().register(clazz)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/plugins.py_Plugins._instantiate_Plugins._instantiate.return.plugin": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/plugins.py_Plugins._instantiate_Plugins._instantiate.return.plugin", "embedding": null, "metadata": {"file_path": "hydra/core/plugins.py", "file_name": "plugins.py", "file_type": "text/x-python", "category": "implementation", "start_line": 94, "end_line": 120, "span_ids": ["Plugins._instantiate"], "tokens": 231}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Plugins(metaclass=Singleton):\n\n    def _instantiate(self, config: DictConfig) -> Plugin:\n        from hydra._internal import utils as internal_utils\n\n        classname = internal_utils._get_cls_name(config, pop=False)\n        try:\n            if classname is None:\n                raise ImportError(\"class not configured\")\n\n            if not self.is_in_toplevel_plugins_module(classname):\n                # All plugins must be defined inside the approved top level modules.\n                # For plugins outside of hydra-core, the approved module is hydra_plugins.\n                raise RuntimeError(\n                    f\"Invalid plugin '{classname}': not the hydra_plugins package\"\n                )\n\n            if classname not in self.class_name_to_class.keys():\n                raise RuntimeError(f\"Unknown plugin class : '{classname}'\")\n            clazz = self.class_name_to_class[classname]\n            plugin = instantiate(config=config, _target_=clazz)\n            assert isinstance(plugin, Plugin)\n\n        except ImportError as e:\n            raise ImportError(\n                f\"Could not instantiate plugin {classname} : {str(e)}\\n\\n\\tIS THE PLUGIN INSTALLED?\\n\\n\"\n            )\n\n        return plugin", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/plugins.py_Plugins.is_in_toplevel_plugins_module_Plugins.instantiate_sweeper.return.sweeper": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/plugins.py_Plugins.is_in_toplevel_plugins_module_Plugins.instantiate_sweeper.return.sweeper", "embedding": null, "metadata": {"file_path": "hydra/core/plugins.py", "file_name": "plugins.py", "file_type": "text/x-python", "category": "implementation", "start_line": 122, "end_line": 144, "span_ids": ["Plugins.is_in_toplevel_plugins_module", "Plugins.instantiate_sweeper"], "tokens": 173}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Plugins(metaclass=Singleton):\n\n    @staticmethod\n    def is_in_toplevel_plugins_module(clazz: str) -> bool:\n\n        return clazz.startswith(\"hydra_plugins.\") or clazz.startswith(\n            \"hydra._internal.core_plugins.\"\n        )\n\n    def instantiate_sweeper(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> Sweeper:\n        Plugins.check_usage(self)\n        if config.hydra.sweeper is None:\n            raise RuntimeError(\"Hydra sweeper is not configured\")\n        sweeper = self._instantiate(config.hydra.sweeper)\n        assert isinstance(sweeper, Sweeper)\n        sweeper.setup(\n            hydra_context=hydra_context, task_function=task_function, config=config\n        )\n        return sweeper", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/plugins.py_Plugins._scan_all_plugins_Plugins._scan_all_plugins.return.scanned_plugins_stats": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/plugins.py_Plugins._scan_all_plugins_Plugins._scan_all_plugins.return.scanned_plugins_stats", "embedding": null, "metadata": {"file_path": "hydra/core/plugins.py", "file_name": "plugins.py", "file_type": "text/x-python", "category": "implementation", "start_line": 163, "end_line": 237, "span_ids": ["Plugins._scan_all_plugins"], "tokens": 587}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Plugins(metaclass=Singleton):\n\n    @staticmethod\n    def _scan_all_plugins(\n        modules: List[Any],\n    ) -> Tuple[List[Type[Plugin]], ScanStats]:\n\n        stats = ScanStats()\n        stats.total_time = timer()\n\n        scanned_plugins: List[Type[Plugin]] = []\n\n        for mdl in modules:\n            for importer, modname, ispkg in pkgutil.walk_packages(\n                path=mdl.__path__, prefix=mdl.__name__ + \".\", onerror=lambda x: None\n            ):\n                try:\n                    module_name = modname.rsplit(\".\", 1)[-1]\n                    # If module's name starts with \"_\", do not load the module.\n                    # But if the module's name starts with a \"__\", then load the\n                    # module.\n                    if module_name.startswith(\"_\") and not module_name.startswith(\"__\"):\n                        continue\n                    import_time = timer()\n\n                    with warnings.catch_warnings(record=True) as recorded_warnings:\n                        if sys.version_info < (3, 10):\n                            m = importer.find_module(modname)  # type: ignore\n                            assert m is not None\n                            loaded_mod = m.load_module(modname)\n                        else:\n                            spec = importer.find_spec(modname)\n                            assert spec is not None\n                            if modname in sys.modules:\n                                loaded_mod = sys.modules[modname]\n                            else:\n                                loaded_mod = importlib.util.module_from_spec(spec)\n                            if loaded_mod is not None:\n                                spec.loader.exec_module(loaded_mod)\n                                sys.modules[modname] = loaded_mod\n\n                    import_time = timer() - import_time\n                    if len(recorded_warnings) > 0:\n                        sys.stderr.write(\n                            f\"[Hydra plugins scanner] : warnings from '{modname}'. Please report to plugin author.\\n\"\n                        )\n                        for w in recorded_warnings:\n                            warnings.showwarning(\n                                message=w.message,\n                                category=w.category,\n                                filename=w.filename,\n                                lineno=w.lineno,\n                                file=w.file,\n                                line=w.line,\n                            )\n\n                    stats.total_modules_import_time += import_time\n\n                    assert modname not in stats.modules_import_time\n                    stats.modules_import_time[modname] = import_time\n\n                    if loaded_mod is not None:\n                        for name, obj in inspect.getmembers(loaded_mod):\n                            if _is_concrete_plugin_type(obj):\n                                scanned_plugins.append(obj)\n                except ImportError as e:\n                    warnings.warn(\n                        message=f\"\\n\"\n                        f\"\\tError importing '{modname}'.\\n\"\n                        f\"\\tPlugin is incompatible with this Hydra version or buggy.\\n\"\n                        f\"\\tRecommended to uninstall or upgrade plugin.\\n\"\n                        f\"\\t\\t{type(e).__name__} : {e}\",\n                        category=UserWarning,\n                    )\n\n        stats.total_time = timer() - stats.total_time\n        return scanned_plugins, stats", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py__check_hydra_context__check_hydra_context.if_hydra_context_is_None_.raise_TypeError_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/core/utils.py__check_hydra_context__check_hydra_context.if_hydra_context_is_None_.raise_TypeError_", "embedding": null, "metadata": {"file_path": "hydra/core/utils.py", "file_name": "utils.py", "file_type": "text/x-python", "category": "implementation", "start_line": 86, "end_line": 96, "span_ids": ["_check_hydra_context"], "tokens": 112}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _check_hydra_context(hydra_context: Optional[HydraContext]) -> None:\n    if hydra_context is None:\n        # hydra_context is required as of Hydra 1.2.\n        # We can remove this check in Hydra 1.3.\n        raise TypeError(\n            dedent(\n                \"\"\"\n                run_job's signature has changed: the `hydra_context` arg is now required.\n                For more info, check https://github.com/facebookresearch/hydra/pull/1581.\"\"\"\n            ),\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/callback.py_logging_Callback.on_job_start._": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/callback.py_logging_Callback.on_job_start._", "embedding": null, "metadata": {"file_path": "hydra/experimental/callback.py", "file_name": "callback.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 47, "span_ids": ["Callback.on_multirun_start", "Callback.on_job_start", "Callback.on_run_end", "Callback.on_multirun_end", "Callback", "docstring", "Callback.on_run_start"], "tokens": 343}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nfrom typing import Any\n\nfrom omegaconf import DictConfig\n\nfrom hydra.core.utils import JobReturn\n\nlogger = logging.getLogger(__name__)\n\n\nclass Callback:\n    def on_run_start(self, config: DictConfig, **kwargs: Any) -> None:\n        \"\"\"\n        Called in RUN mode before job/application code starts. `config` is composed with overrides.\n        Some `hydra.runtime` configs are not populated yet.\n        See hydra.core.utils.run_job for more info.\n        \"\"\"\n        ...\n\n    def on_run_end(self, config: DictConfig, **kwargs: Any) -> None:\n        \"\"\"\n        Called in RUN mode after job/application code returns.\n        \"\"\"\n        ...\n\n    def on_multirun_start(self, config: DictConfig, **kwargs: Any) -> None:\n        \"\"\"\n        Called in MULTIRUN mode before any job starts.\n        When using a launcher, this will be executed on local machine before any Sweeper/Launcher is initialized.\n        \"\"\"\n        ...\n\n    def on_multirun_end(self, config: DictConfig, **kwargs: Any) -> None:\n        \"\"\"\n        Called in MULTIRUN mode after all jobs returns.\n        When using a launcher, this will be executed on local machine.\n        \"\"\"\n        ...\n\n    def on_job_start(self, config: DictConfig, **kwargs: Any) -> None:\n        \"\"\"\n        Called in both RUN and MULTIRUN modes, once for each Hydra job (before running application code).\n        This is called from within `hydra.core.utils.run_job`. In the case of remote launching, this will be executed\n        on the remote server along with your application code.\n        \"\"\"\n        ...", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/callback.py_Callback.on_job_end_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/callback.py_Callback.on_job_end_", "embedding": null, "metadata": {"file_path": "hydra/experimental/callback.py", "file_name": "callback.py", "file_type": "text/x-python", "category": "implementation", "start_line": 49, "end_line": 62, "span_ids": ["Callback.on_job_end"], "tokens": 127}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class Callback:\n\n    def on_job_end(\n        self, config: DictConfig, job_return: JobReturn, **kwargs: Any\n    ) -> None:\n        \"\"\"\n        Called in both RUN and MULTIRUN modes, once for each Hydra job (after running\n        application code).\n        This is called from within `hydra.core.utils.run_job`. In the case of remote launching, this will be executed\n        on the remote server after your application code.\n\n        `job_return` contains info that could be useful for logging or post-processing.\n        See hydra.core.utils.JobReturn for more.\n        \"\"\"\n        ...", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/callbacks.py_logging_LogJobReturnCallback.on_job_end.if_job_return_status_J.else_.self_log_error_Status_un": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/callbacks.py_logging_LogJobReturnCallback.on_job_end.if_job_return_status_J.else_.self_log_error_Status_un", "embedding": null, "metadata": {"file_path": "hydra/experimental/callbacks.py", "file_name": "callbacks.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 26, "span_ids": ["LogJobReturnCallback.on_job_end", "LogJobReturnCallback", "LogJobReturnCallback.__init__", "docstring"], "tokens": 180}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nimport pickle\nfrom pathlib import Path\nfrom typing import Any\n\nfrom omegaconf import DictConfig\n\nfrom hydra.core.utils import JobReturn, JobStatus\nfrom hydra.experimental.callback import Callback\n\n\nclass LogJobReturnCallback(Callback):\n    def __init__(self) -> None:\n        self.log = logging.getLogger(f\"{__name__}.{self.__class__.__name__}\")\n\n    def on_job_end(\n        self, config: DictConfig, job_return: JobReturn, **kwargs: Any\n    ) -> None:\n        if job_return.status == JobStatus.COMPLETED:\n            self.log.info(f\"Succeeded with return value: {job_return.return_value}\")\n        elif job_return.status == JobStatus.FAILED:\n            self.log.error(\"\", exc_info=job_return._return_value)\n        else:\n            self.log.error(\"Status unknown. This should never happen.\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/callbacks.py_PickleJobInfoCallback_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/experimental/callbacks.py_PickleJobInfoCallback_", "embedding": null, "metadata": {"file_path": "hydra/experimental/callbacks.py", "file_name": "callbacks.py", "file_type": "text/x-python", "category": "implementation", "start_line": 29, "end_line": 55, "span_ids": ["PickleJobInfoCallback.on_job_start", "PickleJobInfoCallback.__init__", "PickleJobInfoCallback._save_pickle", "PickleJobInfoCallback.on_job_end", "PickleJobInfoCallback"], "tokens": 276}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class PickleJobInfoCallback(Callback):\n    output_dir: Path\n\n    def __init__(self) -> None:\n        self.log = logging.getLogger(f\"{__name__}.{self.__class__.__name__}\")\n\n    def on_job_start(self, config: DictConfig, **kwargs: Any) -> None:\n        self.output_dir = Path(config.hydra.runtime.output_dir) / Path(\n            config.hydra.output_subdir\n        )\n        filename = \"config.pickle\"\n        self._save_pickle(obj=config, filename=filename, output_dir=self.output_dir)\n        self.log.info(f\"Saving job configs in {self.output_dir / filename}\")\n\n    def on_job_end(\n        self, config: DictConfig, job_return: JobReturn, **kwargs: Any\n    ) -> None:\n        filename = \"job_return.pickle\"\n        self._save_pickle(obj=job_return, filename=filename, output_dir=self.output_dir)\n        self.log.info(f\"Saving job_return in {self.output_dir / filename}\")\n\n    def _save_pickle(self, obj: Any, filename: str, output_dir: Path) -> None:\n        output_dir.mkdir(parents=True, exist_ok=True)\n        assert output_dir is not None\n        with open(str(output_dir / filename), \"wb\") as file:\n            pickle.dump(obj, file, protocol=4)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/main.py_copy__UNSPECIFIED_.object_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/main.py_copy__UNSPECIFIED_.object_", "embedding": null, "metadata": {"file_path": "hydra/main.py", "file_name": "main.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 19, "span_ids": ["docstring"], "tokens": 117}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import copy\nimport functools\nimport pickle\nimport warnings\nfrom pathlib import Path\nfrom textwrap import dedent\nfrom typing import Any, Callable, List, Optional\n\nfrom omegaconf import DictConfig, open_dict, read_write\n\nfrom . import version\nfrom ._internal.deprecation_warning import deprecation_warning\nfrom ._internal.utils import _run_hydra, get_args_parser\nfrom .core.hydra_config import HydraConfig\nfrom .core.utils import _flush_loggers, configure_log\nfrom .types import TaskFunction\n\n_UNSPECIFIED_: Any = object()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/main.py__get_rerun_conf__get_rerun_conf.return.task_cfg": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/main.py__get_rerun_conf__get_rerun_conf.return.task_cfg", "embedding": null, "metadata": {"file_path": "hydra/main.py", "file_name": "main.py", "file_type": "text/x-python", "category": "implementation", "start_line": 22, "end_line": 42, "span_ids": ["_get_rerun_conf"], "tokens": 193}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _get_rerun_conf(file_path: str, overrides: List[str]) -> DictConfig:\n    msg = \"Experimental rerun CLI option, other command line args are ignored.\"\n    warnings.warn(msg, UserWarning)\n    file = Path(file_path)\n    if not file.exists():\n        raise ValueError(f\"File {file} does not exist!\")\n\n    if len(overrides) > 0:\n        msg = \"Config overrides are not supported as of now.\"\n        warnings.warn(msg, UserWarning)\n\n    with open(str(file), \"rb\") as input:\n        config = pickle.load(input)  # nosec\n    configure_log(config.hydra.job_logging, config.hydra.verbose)\n    HydraConfig.instance().set_config(config)\n    task_cfg = copy.deepcopy(config)\n    with read_write(task_cfg):\n        with open_dict(task_cfg):\n            del task_cfg[\"hydra\"]\n    assert isinstance(task_cfg, DictConfig)\n    return task_cfg", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/main.py_main_main.if_config_path_is__UNSPEC.if_version_base_at_least_.else_.config_path._": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/main.py_main_main.if_config_path_is__UNSPEC.if_version_base_at_least_.else_.config_path._", "embedding": null, "metadata": {"file_path": "hydra/main.py", "file_name": "main.py", "file_type": "text/x-python", "category": "implementation", "start_line": 45, "end_line": 73, "span_ids": ["main"], "tokens": 253}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def main(\n    config_path: Optional[str] = _UNSPECIFIED_,\n    config_name: Optional[str] = None,\n    version_base: Optional[str] = _UNSPECIFIED_,\n) -> Callable[[TaskFunction], Any]:\n    \"\"\"\n    :param config_path: The config path, a directory relative to the declaring python file.\n                        If config_path is None no directory is added to the Config search path.\n    :param config_name: The name of the config (usually the file name without the .yaml extension)\n    \"\"\"\n\n    version.setbase(version_base)\n\n    if config_path is _UNSPECIFIED_:\n        if version.base_at_least(\"1.2\"):\n            config_path = None\n        elif version_base is _UNSPECIFIED_:\n            url = \"https://hydra.cc/docs/next/upgrades/1.0_to_1.1/changes_to_hydra_main_config_path\"\n            deprecation_warning(\n                message=dedent(\n                    f\"\"\"\n                config_path is not specified in @hydra.main().\n                See {url} for more information.\"\"\"\n                ),\n                stacklevel=2,\n            )\n            config_path = \".\"\n        else:\n            config_path = \".\"\n    # ... other code", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/version.py_from_textwrap_import_dede_VersionBase.set_instance._type_ignore": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/version.py_from_textwrap_import_dede_VersionBase.set_instance._type_ignore", "embedding": null, "metadata": {"file_path": "hydra/version.py", "file_name": "version.py", "file_type": "text/x-python", "category": "implementation", "start_line": 5, "end_line": 40, "span_ids": ["VersionBase.set_instance", "VersionBase.getbase", "VersionBase.instance", "docstring", "VersionBase", "VersionBase.__init__", "VersionBase.setbase"], "tokens": 246}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from textwrap import dedent\nfrom typing import Any, Optional\n\nfrom packaging.version import Version\n\nfrom . import __version__\nfrom ._internal.deprecation_warning import deprecation_warning\nfrom .core.singleton import Singleton\nfrom .errors import HydraException\n\n_UNSPECIFIED_: Any = object()\n\n__compat_version__: Version = Version(\"1.1\")\n\n\nclass VersionBase(metaclass=Singleton):\n    def __init__(self) -> None:\n        self.version_base: Optional[Version] = _UNSPECIFIED_\n\n    def setbase(self, version: \"Version\") -> None:\n        assert isinstance(\n            version, Version\n        ), f\"Unexpected Version type : {type(version)}\"\n        self.version_base = version\n\n    def getbase(self) -> Optional[Version]:\n        return self.version_base\n\n    @staticmethod\n    def instance(*args: Any, **kwargs: Any) -> \"VersionBase\":\n        return Singleton.instance(VersionBase, *args, **kwargs)  # type: ignore\n\n    @staticmethod\n    def set_instance(instance: \"VersionBase\") -> None:\n        assert isinstance(instance, VersionBase)\n        Singleton._instances[VersionBase] = instance  # type: ignore", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/version.py__get_version_getbase.return.VersionBase_instance_ge": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/version.py__get_version_getbase.return.VersionBase_instance_ge", "embedding": null, "metadata": {"file_path": "hydra/version.py", "file_name": "version.py", "file_type": "text/x-python", "category": "implementation", "start_line": 43, "end_line": 59, "span_ids": ["getbase", "base_at_least", "_get_version"], "tokens": 155}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _get_version(ver: str) -> Version:\n    # Only consider major.minor as packaging will compare \"1.2.0.dev2\" < \"1.2\"\n    pver = Version(ver)\n    return Version(f\"{pver.major}.{pver.minor}\")\n\n\ndef base_at_least(ver: str) -> bool:\n    _version_base = VersionBase.instance().getbase()\n    if type(_version_base) is type(_UNSPECIFIED_):\n        VersionBase.instance().setbase(__compat_version__)\n        _version_base = __compat_version__\n    assert isinstance(_version_base, Version)\n    return _version_base >= _get_version(ver)\n\n\ndef getbase() -> Optional[Version]:\n    return VersionBase.instance().getbase()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/version.py_setbase_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/hydra/version.py_setbase_", "embedding": null, "metadata": {"file_path": "hydra/version.py", "file_name": "version.py", "file_type": "text/x-python", "category": "implementation", "start_line": 62, "end_line": 81, "span_ids": ["setbase"], "tokens": 162}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def setbase(ver: Any) -> None:\n    if type(ver) is type(_UNSPECIFIED_):\n        deprecation_warning(\n            message=dedent(\n                f\"\"\"\n            The version_base parameter is not specified.\n            Please specify a compatability version level, or None.\n            Will assume defaults for version {__compat_version__}\"\"\"\n            ),\n            stacklevel=3,\n        )\n        _version_base = __compat_version__\n    elif ver is None:\n        _version_base = _get_version(__version__)\n    else:\n        _version_base = _get_version(ver)\n        if _version_base < __compat_version__:\n            raise HydraException(f'version_base must be >= \"{__compat_version__}\"')\n    VersionBase.instance().setbase(_version_base)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_copy__print_installed_omegaconf_version.for_line_in_pip_list_spli.if_omegaconf_in_line_.print_f_Installed_omegaco": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_copy__print_installed_omegaconf_version.for_line_in_pip_list_spli.if_omegaconf_in_line_.print_f_Installed_omegaco", "embedding": null, "metadata": {"file_path": "noxfile.py", "file_name": "noxfile.py", "file_type": "text/x-python", "category": "implementation", "start_line": 3, "end_line": 85, "span_ids": ["Plugin", "get_current_os", "_upgrade_basic", "find_dirs", "docstring", "_print_installed_omegaconf_version", "impl:31"], "tokens": 652}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import copy\nimport os\nimport platform\nfrom dataclasses import dataclass\nfrom pathlib import Path\nfrom typing import List\n\nimport nox\nfrom nox.logger import logger\n\nBASE = os.path.abspath(os.path.dirname(__file__))\n\nDEFAULT_PYTHON_VERSIONS = [\"3.6\", \"3.7\", \"3.8\", \"3.9\", \"3.10\"]\nDEFAULT_OS_NAMES = [\"Linux\", \"MacOS\", \"Windows\"]\n\nPYTHON_VERSIONS = os.environ.get(\n    \"NOX_PYTHON_VERSIONS\", \",\".join(DEFAULT_PYTHON_VERSIONS)\n).split(\",\")\n\nINSTALL_EDITABLE_MODE = os.environ.get(\"INSTALL_EDITABLE_MODE\", 0)\n\nINSTALL_COMMAND = (\n    [\"pip\", \"install\", \"-e\"] if INSTALL_EDITABLE_MODE else [\"pip\", \"install\"]\n)\n\n# Allow limiting testing to specific plugins\n# The list ['ALL'] indicates all plugins\nPLUGINS = os.environ.get(\"PLUGINS\", \"ALL\").split(\",\")\nSKIP_PLUGINS = os.environ.get(\"SKIP_PLUGINS\", \"\")\n\nSKIP_CORE_TESTS = \"0\"\nSKIP_CORE_TESTS = os.environ.get(\"SKIP_CORE_TESTS\", SKIP_CORE_TESTS) != \"0\"\nUSE_OMEGACONF_DEV_VERSION = os.environ.get(\"USE_OMEGACONF_DEV_VERSION\", \"0\") != \"0\"\nFIX = os.environ.get(\"FIX\", \"0\") == \"1\"\nVERBOSE = os.environ.get(\"VERBOSE\", \"0\")\nSILENT = VERBOSE == \"0\"\n\nnox.options.error_on_missing_interpreters = True\n\n\n@dataclass\nclass Plugin:\n    name: str\n    path: str\n    module: str\n    source_dir: str\n\n\ndef get_current_os() -> str:\n    current_os = platform.system()\n    if current_os == \"Darwin\":\n        current_os = \"MacOS\"\n    return current_os\n\n\nprint(f\"Operating system\\t:\\t{get_current_os()}\")\nprint(f\"NOX_PYTHON_VERSIONS\\t:\\t{PYTHON_VERSIONS}\")\nprint(f\"PLUGINS\\t\\t\\t:\\t{PLUGINS}\")\nprint(f\"SKIP_PLUGINS\\t\\t\\t:\\t{SKIP_PLUGINS}\")\nprint(f\"SKIP_CORE_TESTS\\t\\t:\\t{SKIP_CORE_TESTS}\")\nprint(f\"FIX\\t\\t\\t:\\t{FIX}\")\nprint(f\"VERBOSE\\t\\t\\t:\\t{VERBOSE}\")\nprint(f\"INSTALL_EDITABLE_MODE\\t:\\t{INSTALL_EDITABLE_MODE}\")\nprint(f\"USE_OMEGACONF_DEV_VERSION\\t:\\t{USE_OMEGACONF_DEV_VERSION}\")\n\n\ndef _upgrade_basic(session):\n    session.install(\"--upgrade\", \"pip\", silent=SILENT)\n    session.install(\"--upgrade\", \"setuptools\", silent=SILENT)\n\n\ndef find_dirs(path: str):\n    for file in os.listdir(path):\n        fullname = os.path.join(path, file)\n        if os.path.isdir(fullname):\n            yield fullname\n\n\ndef _print_installed_omegaconf_version(session):\n    pip_list: str = session.run(\"pip\", \"list\", silent=True)\n    for line in pip_list.split(\"\\n\"):\n        if \"omegaconf\" in line:\n            print(f\"Installed omegaconf version: {line}\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_install_hydra_install_hydra.if_not_SILENT_.session_run_pipdeptree_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_install_hydra_install_hydra.if_not_SILENT_.session_run_pipdeptree_", "embedding": null, "metadata": {"file_path": "noxfile.py", "file_name": "noxfile.py", "file_type": "text/x-python", "category": "implementation", "start_line": 88, "end_line": 99, "span_ids": ["install_hydra"], "tokens": 123}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def install_hydra(session, cmd):\n    # needed for build\n    session.install(\"read-version\", silent=SILENT)\n    # clean install hydra\n    session.chdir(BASE)\n    if USE_OMEGACONF_DEV_VERSION:\n        session.install(\"--pre\", \"omegaconf\", silent=SILENT)\n    session.run(*cmd, \".\", silent=SILENT)\n    _print_installed_omegaconf_version(session)\n    if not SILENT:\n        session.install(\"pipdeptree\", silent=SILENT)\n        session.run(\"pipdeptree\", \"-p\", \"hydra-core\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_pytest_args_get_setup_python_versions.return._p_len_Programming_Langu": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_pytest_args_get_setup_python_versions.return._p_len_Programming_Langu", "embedding": null, "metadata": {"file_path": "noxfile.py", "file_name": "noxfile.py", "file_type": "text/x-python", "category": "implementation", "start_line": 107, "end_line": 122, "span_ids": ["run_pytest", "get_setup_python_versions", "pytest_args"], "tokens": 123}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def pytest_args(*args):\n    ret = [\"pytest\"]\n    ret.extend(args)\n    return ret\n\n\ndef run_pytest(session, directory=\".\", *args):\n    pytest_cmd = pytest_args(directory, *args)\n    # silent=False to enable some output on CI\n    # (otherwise we risk no-output timeout)\n    session.run(*pytest_cmd, silent=False)\n\n\ndef get_setup_python_versions(classifiers):\n    pythons = filter(lambda line: \"Programming Language :: Python\" in line, classifiers)\n    return [p[len(\"Programming Language :: Python :: \") :] for p in pythons]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_select_plugins__isort_cmd.return.isort": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_select_plugins__isort_cmd.return.isort", "embedding": null, "metadata": {"file_path": "noxfile.py", "file_name": "noxfile.py", "file_type": "text/x-python", "category": "implementation", "start_line": 132, "end_line": 221, "span_ids": ["select_plugins", "_black_cmd", "_isort_cmd", "install_dev_deps"], "tokens": 647}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def select_plugins(session, directory: str) -> List[Plugin]:\n    \"\"\"\n    Select all plugins that should be tested in this session.\n    Considers the current Python version and operating systems against the supported ones,\n    as well as the user plugins selection (via the PLUGINS environment variable).\n    \"\"\"\n    assert session.python is not None, \"Session python version is not specified\"\n    blacklist = [\".isort.cfg\", \"examples\"]\n    plugins = [\n        {\"dir_name\": x, \"path\": x}\n        for x in sorted(os.listdir(os.path.join(BASE, directory)))\n        if x not in blacklist\n    ]\n\n    ret = []\n    skipped = []\n    for plugin in plugins:\n        if (\n            not (plugin[\"dir_name\"] in PLUGINS or PLUGINS == [\"ALL\"])\n            or plugin[\"dir_name\"] in SKIP_PLUGINS\n        ):\n            skipped.append(f\"Deselecting {plugin['dir_name']}: User request\")\n            continue\n\n        setup_py = os.path.join(BASE, directory, plugin[\"path\"], \"setup.py\")\n        classifiers = session.run(\n            \"python\", setup_py, \"--name\", \"--classifiers\", silent=True\n        ).splitlines()\n        plugin_name = classifiers.pop(0)\n        plugin_python_versions = get_setup_python_versions(classifiers)\n        python_supported = session.python in plugin_python_versions\n\n        plugin_os_names = get_plugin_os_names(classifiers)\n        os_supported = get_current_os() in plugin_os_names\n\n        if not python_supported:\n            py_str = \", \".join(plugin_python_versions)\n            skipped.append(\n                f\"Deselecting {plugin['dir_name']} : Incompatible Python {session.python}. Supports [{py_str}]\"\n            )\n            continue\n\n        # Verify this plugin supports the OS we are testing on, skip otherwise\n        if not os_supported:\n            os_str = \", \".join(plugin_os_names)\n            skipped.append(\n                f\"Deselecting {plugin['dir_name']}: Incompatible OS {get_current_os()}. Supports [{os_str}]\"\n            )\n            continue\n\n        if \"hydra_plugins\" in os.listdir(os.path.join(BASE, directory, plugin[\"path\"])):\n            module = \"hydra_plugins.\" + plugin[\"dir_name\"]\n            source_dir = \"hydra_plugins\"\n        else:\n            module = plugin[\"dir_name\"]\n            source_dir = plugin[\"dir_name\"]\n\n        ret.append(\n            Plugin(\n                name=plugin_name,\n                path=plugin[\"path\"],\n                source_dir=source_dir,\n                module=module,\n            )\n        )\n\n    for msg in skipped:\n        logger.warn(msg)\n\n    if len(ret) == 0:\n        logger.warn(\"No plugins selected\")\n    return ret\n\n\ndef install_dev_deps(session):\n    session.run(\"pip\", \"install\", \"-r\", \"requirements/dev.txt\", silent=SILENT)\n\n\ndef _black_cmd():\n    black = [\"black\", \".\"]\n    if not FIX:\n        black += [\"--check\"]\n    return black\n\n\ndef _isort_cmd():\n    isort = [\"isort\", \".\"]\n    if not FIX:\n        isort += [\"--check\", \"--diff\"]\n    return isort", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_lint_lint.session_run_bandit_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/noxfile.py_lint_lint.session_run_bandit_", "embedding": null, "metadata": {"file_path": "noxfile.py", "file_name": "noxfile.py", "file_type": "text/x-python", "category": "implementation", "start_line": 226, "end_line": 313, "span_ids": ["lint"], "tokens": 595}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@nox.session(python=PYTHON_VERSIONS)\ndef lint(session):\n    _upgrade_basic(session)\n    install_dev_deps(session)\n    install_hydra(session, [\"pip\", \"install\", \"-e\"])\n\n    apps = _get_standalone_apps_dirs()\n    session.log(\"Installing standalone apps\")\n    for subdir in apps:\n        session.chdir(str(subdir))\n        session.run(*_black_cmd(), silent=SILENT)\n        session.run(*_isort_cmd(), silent=SILENT)\n        session.chdir(BASE)\n\n    session.run(*_black_cmd(), silent=SILENT)\n\n    skiplist = apps + [\n        \".git\",\n        \"website\",\n        \"plugins\",\n        \"tools\",\n        \".nox\",\n        \"hydra/grammar/gen\",\n        \"tools/configen/example/gen\",\n        \"tools/configen/tests/test_modules/expected\",\n        \"temp\",\n        \"build\",\n        \"contrib\",\n    ]\n    isort = _isort_cmd() + [f\"--skip={skip}\" for skip in skiplist]\n\n    session.run(*isort, silent=SILENT)\n\n    session.run(\n        \"mypy\",\n        \".\",\n        \"--strict\",\n        \"--install-types\",\n        \"--non-interactive\",\n        \"--exclude=^examples/\",\n        \"--exclude=^tests/standalone_apps/\",\n        \"--exclude=^tests/test_apps/\",\n        \"--exclude=^tools/\",\n        \"--exclude=^plugins/\",\n        silent=SILENT,\n    )\n    session.run(\"flake8\", \"--config\", \".flake8\")\n    session.run(\"yamllint\", \"--strict\", \".\")\n\n    mypy_check_subdirs = [\n        \"examples/advanced\",\n        \"examples/configure_hydra\",\n        \"examples/patterns\",\n        \"examples/instantiate\",\n        \"examples/tutorials/basic/your_first_hydra_app\",\n        \"examples/tutorials/basic/running_your_hydra_app\",\n        \"examples/tutorials/structured_configs\",\n        \"tests/standalone_apps\",\n        \"tests/test_apps\",\n    ]\n    for sdir in mypy_check_subdirs:\n        dirs = find_dirs(path=sdir)\n        for d in dirs:\n            session.run(\n                \"mypy\",\n                d,\n                \"--strict\",\n                \"--install-types\",\n                \"--non-interactive\",\n                silent=SILENT,\n            )\n\n    for sdir in [\"tools\"]:  # no --strict flag for tools\n        dirs = find_dirs(path=sdir)\n        for d in dirs:\n            session.run(\n                \"mypy\",\n                d,\n                \"--install-types\",\n                \"--non-interactive\",\n                silent=SILENT,\n            )\n\n    # lint example plugins\n    lint_plugins_in_dir(session=session, directory=\"examples/plugins\")\n\n    # bandit static security analysis\n    session.run(\"bandit\", \"--exclude\", \"./.nox/**\", \"-ll\", \"-r\", \".\", silent=SILENT)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_math_quadratic.return.100_cfg_quadratic_x_2": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py_math_quadratic.return.100_cfg_quadratic_x_2", "embedding": null, "metadata": {"file_path": "plugins/hydra_ax_sweeper/tests/test_ax_sweeper_plugin.py", "file_name": "test_ax_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 33, "span_ids": ["quadratic", "test_discovery", "docstring"], "tokens": 204}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import math\nimport os\nfrom pathlib import Path\nfrom typing import Any, List\n\nfrom hydra.core.plugins import Plugins\nfrom hydra.plugins.sweeper import Sweeper\nfrom hydra.test_utils.test_utils import (\n    TSweepRunner,\n    chdir_plugin_root,\n    run_python_script,\n)\nfrom omegaconf import DictConfig, OmegaConf\nfrom pytest import mark, raises\n\nfrom hydra_plugins.hydra_ax_sweeper.ax_sweeper import AxSweeper  # type: ignore\n\nchdir_plugin_root()\n\n\ndef test_discovery() -> None:\n    \"\"\"\n    Tests that this plugin can be discovered via the plugins subsystem when looking for Sweeper\n    :return:\n    \"\"\"\n    assert AxSweeper.__name__ in [\n        x.__name__ for x in Plugins.instance().discover(Sweeper)\n    ]\n\n\ndef quadratic(cfg: DictConfig) -> Any:\n    return 100 * (cfg.quadratic.x**2) + 1 * cfg.quadratic.y", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/example/custom-search-space-objective.py_hydra_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/example/custom-search-space-objective.py_hydra_", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/example/custom-search-space-objective.py", "file_name": "custom-search-space-objective.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 28, "span_ids": ["multi_dimensional_sphere", "configure", "impl", "docstring"], "tokens": 207}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import hydra\nfrom omegaconf import DictConfig\nfrom optuna.trial import Trial\n\n\n@hydra.main(version_base=None, config_path=\"custom-search-space\", config_name=\"config\")\ndef multi_dimensional_sphere(cfg: DictConfig) -> float:\n    w: float = cfg.w\n    x: float = cfg.x\n    y: float = cfg.y\n    z: float = cfg.z\n    return w**2 + x**2 + y**2 + z**2\n\n\ndef configure(cfg: DictConfig, trial: Trial) -> None:\n    x_value = trial.params[\"x\"]\n    trial.suggest_float(\n        \"z\",\n        x_value - cfg.max_z_difference_from_x,\n        x_value + cfg.max_z_difference_from_x,\n    )\n    trial.suggest_float(\"+w\", 0.0, 1.0)  # note +w here, not w as w is a new parameter\n\n\nif __name__ == \"__main__\":\n    multi_dimensional_sphere()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_functools_log.logging_getLogger___name_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_functools_log.logging_getLogger___name_", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py", "file_name": "_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 48, "span_ids": ["docstring"], "tokens": 238}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import functools\nimport logging\nimport sys\nimport warnings\nfrom textwrap import dedent\nfrom typing import (\n    Any,\n    Callable,\n    Dict,\n    List,\n    MutableMapping,\n    MutableSequence,\n    Optional,\n    Sequence,\n    Tuple,\n)\n\nimport optuna\nfrom hydra._internal.deprecation_warning import deprecation_warning\nfrom hydra.core.override_parser.overrides_parser import OverridesParser\nfrom hydra.core.override_parser.types import (\n    ChoiceSweep,\n    IntervalSweep,\n    Override,\n    RangeSweep,\n    Transformer,\n)\nfrom hydra.core.plugins import Plugins\nfrom hydra.plugins.sweeper import Sweeper\nfrom hydra.types import HydraContext, TaskFunction\nfrom hydra.utils import get_method\nfrom omegaconf import DictConfig, OmegaConf\nfrom optuna.distributions import (\n    BaseDistribution,\n    CategoricalChoiceType,\n    CategoricalDistribution,\n    DiscreteUniformDistribution,\n    IntLogUniformDistribution,\n    IntUniformDistribution,\n    LogUniformDistribution,\n    UniformDistribution,\n)\nfrom optuna.trial import Trial\n\nfrom .config import Direction, DistributionConfig, DistributionType\n\nlog = logging.getLogger(__name__)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_create_params_from_overrides_create_params_from_overrides.return.search_space_distribution": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_create_params_from_overrides_create_params_from_overrides.return.search_space_distribution", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py", "file_name": "_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 131, "end_line": 146, "span_ids": ["create_params_from_overrides"], "tokens": 125}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def create_params_from_overrides(\n    arguments: List[str],\n) -> Tuple[Dict[str, BaseDistribution], Dict[str, Any]]:\n    parser = OverridesParser.create()\n    parsed = parser.parse_overrides(arguments)\n    search_space_distributions = dict()\n    fixed_params = dict()\n\n    for override in parsed:\n        param_name = override.get_key_element()\n        value = create_optuna_distribution_from_override(override)\n        if isinstance(value, BaseDistribution):\n            search_space_distributions[param_name] = value\n        else:\n            fixed_params[param_name] = value\n    return search_space_distributions, fixed_params", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_OptunaSweeperImpl_OptunaSweeperImpl.__init__.self.job_idx.0": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_OptunaSweeperImpl_OptunaSweeperImpl.__init__.self.job_idx.0", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py", "file_name": "_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 149, "end_line": 179, "span_ids": ["OptunaSweeperImpl.__init__", "OptunaSweeperImpl"], "tokens": 236}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class OptunaSweeperImpl(Sweeper):\n    def __init__(\n        self,\n        sampler: Any,\n        direction: Any,\n        storage: Optional[Any],\n        study_name: Optional[str],\n        n_trials: int,\n        n_jobs: int,\n        max_failure_rate: float,\n        search_space: Optional[DictConfig],\n        custom_search_space: Optional[str],\n        params: Optional[DictConfig],\n    ) -> None:\n        self.sampler = sampler\n        self.direction = direction\n        self.storage = storage\n        self.study_name = study_name\n        self.n_trials = n_trials\n        self.n_jobs = n_jobs\n        self.max_failure_rate = max_failure_rate\n        assert self.max_failure_rate >= 0.0\n        assert self.max_failure_rate <= 1.0\n        self.custom_search_space_extender: Optional[\n            Callable[[DictConfig, Trial], None]\n        ] = None\n        if custom_search_space:\n            self.custom_search_space_extender = get_method(custom_search_space)\n        self.search_space = search_space\n        self.params = params\n        self.job_idx: int = 0", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_OptunaSweeperImpl._process_searchspace_config_OptunaSweeperImpl._process_searchspace_config.assert_self_search_space_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_OptunaSweeperImpl._process_searchspace_config_OptunaSweeperImpl._process_searchspace_config.assert_self_search_space_", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py", "file_name": "_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 177, "end_line": 208, "span_ids": ["OptunaSweeperImpl._process_searchspace_config"], "tokens": 267}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class OptunaSweeperImpl(Sweeper):\n\n    def _process_searchspace_config(self) -> None:\n        url = (\n            \"https://hydra.cc/docs/next/upgrades/1.1_to_1.2/changes_to_sweeper_config/\"\n        )\n        if self.params is None and self.search_space is None:\n            self.params = OmegaConf.create({})\n        elif self.search_space is not None:\n            if self.params is not None:\n                warnings.warn(\n                    \"Both hydra.sweeper.params and hydra.sweeper.search_space are configured.\"\n                    \"\\nHydra will use hydra.sweeper.params for defining search space.\"\n                    f\"\\n{url}\"\n                )\n                self.search_space = None\n            else:\n                deprecation_warning(\n                    message=dedent(\n                        f\"\"\"\\\n                        `hydra.sweeper.search_space` is deprecated and will be removed in the next major release.\n                        Please configure with `hydra.sweeper.params`.\n                        {url}\n                        \"\"\"\n                    ),\n                )\n                self.params = OmegaConf.create(\n                    {\n                        str(x): create_optuna_distribution_from_config(y)\n                        for x, y in self.search_space.items()\n                    }\n                )\n                self.search_space = None\n        assert self.search_space is None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_OptunaSweeperImpl.setup_OptunaSweeperImpl._get_directions.return._self_direction_name_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_OptunaSweeperImpl.setup_OptunaSweeperImpl._get_directions.return._self_direction_name_", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py", "file_name": "_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 210, "end_line": 230, "span_ids": ["OptunaSweeperImpl.setup", "OptunaSweeperImpl._get_directions"], "tokens": 176}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class OptunaSweeperImpl(Sweeper):\n\n    def setup(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> None:\n        self.job_idx = 0\n        self.config = config\n        self.hydra_context = hydra_context\n        self.launcher = Plugins.instance().instantiate_launcher(\n            config=config, hydra_context=hydra_context, task_function=task_function\n        )\n        self.sweep_dir = config.hydra.sweep.dir\n\n    def _get_directions(self) -> List[str]:\n        if isinstance(self.direction, MutableSequence):\n            return [d.name if isinstance(d, Direction) else d for d in self.direction]\n        elif isinstance(self.direction, str):\n            return [self.direction]\n        return [self.direction.name]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_OptunaSweeperImpl._configure_trials_OptunaSweeperImpl._configure_trials.return.overrides": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_OptunaSweeperImpl._configure_trials_OptunaSweeperImpl._configure_trials.return.overrides", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py", "file_name": "_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 232, "end_line": 260, "span_ids": ["OptunaSweeperImpl._configure_trials"], "tokens": 232}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class OptunaSweeperImpl(Sweeper):\n\n    def _configure_trials(\n        self,\n        trials: List[Trial],\n        search_space_distributions: Dict[str, BaseDistribution],\n        fixed_params: Dict[str, Any],\n    ) -> Sequence[Sequence[str]]:\n        overrides = []\n        for trial in trials:\n            for param_name, distribution in search_space_distributions.items():\n                assert type(param_name) is str\n                trial._suggest(param_name, distribution)\n            for param_name, value in fixed_params.items():\n                trial.set_user_attr(param_name, value)\n\n            if self.custom_search_space_extender:\n                assert self.config is not None\n                self.custom_search_space_extender(self.config, trial)\n\n            overlap = trial.params.keys() & trial.user_attrs\n            if len(overlap):\n                raise ValueError(\n                    \"Overlapping fixed parameters and search space parameters found!\"\n                    f\"Overlapping parameters: {list(overlap)}\"\n                )\n            params = dict(trial.params)\n            params.update(fixed_params)\n\n            overrides.append(tuple(f\"{name}={val}\" for name, val in params.items()))\n        return overrides", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_OptunaSweeperImpl._parse_sweeper_params_config_OptunaSweeperImpl._to_grid_sampler_choices.if_isinstance_distributio.else_.raise_ValueError_GridSam": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_OptunaSweeperImpl._parse_sweeper_params_config_OptunaSweeperImpl._to_grid_sampler_choices.if_isinstance_distributio.else_.raise_ValueError_GridSam", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py", "file_name": "_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 266, "end_line": 286, "span_ids": ["OptunaSweeperImpl._parse_sweeper_params_config", "OptunaSweeperImpl._to_grid_sampler_choices"], "tokens": 224}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class OptunaSweeperImpl(Sweeper):\n\n    def _parse_sweeper_params_config(self) -> List[str]:\n        params_conf = []\n        assert self.params is not None\n        for k, v in self.params.items():\n            params_conf.append(f\"{k!s}={v}\")\n        return params_conf\n\n    def _to_grid_sampler_choices(self, distribution: BaseDistribution) -> Any:\n        if isinstance(distribution, CategoricalDistribution):\n            return distribution.choices\n        elif isinstance(distribution, IntUniformDistribution):\n            assert (\n                distribution.step is not None\n            ), \"`step` of IntUniformDistribution must be a positive integer.\"\n            n_items = (distribution.high - distribution.low) // distribution.step\n            return [distribution.low + i * distribution.step for i in range(n_items)]\n        elif isinstance(distribution, DiscreteUniformDistribution):\n            n_items = int((distribution.high - distribution.low) // distribution.q)\n            return [distribution.low + i * distribution.q for i in range(n_items)]\n        else:\n            raise ValueError(\"GridSampler only supports discrete distributions.\")", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_OptunaSweeperImpl.sweep_OptunaSweeperImpl.sweep.n_trials_to_go.self_n_trials": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_OptunaSweeperImpl.sweep_OptunaSweeperImpl.sweep.n_trials_to_go.self_n_trials", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py", "file_name": "_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 288, "end_line": 344, "span_ids": ["OptunaSweeperImpl.sweep"], "tokens": 430}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class OptunaSweeperImpl(Sweeper):\n\n    def sweep(self, arguments: List[str]) -> None:\n        assert self.config is not None\n        assert self.launcher is not None\n        assert self.hydra_context is not None\n        assert self.job_idx is not None\n\n        self._process_searchspace_config()\n        assert self.search_space is None\n\n        params_conf = self._parse_sweeper_params_config()\n        params_conf.extend(arguments)\n\n        is_grid_sampler = (\n            isinstance(self.sampler, functools.partial)\n            and self.sampler.func == optuna.samplers.GridSampler  # type: ignore\n        )\n\n        search_space_distributions, fixed_params = create_params_from_overrides(\n            params_conf\n        )\n\n        if is_grid_sampler:\n            search_space_for_grid_sampler = {\n                name: self._to_grid_sampler_choices(distribution)\n                for name, distribution in search_space_distributions.items()\n            }\n\n            self.sampler = self.sampler(search_space_for_grid_sampler)\n            n_trial = 1\n            for v in search_space_for_grid_sampler.values():\n                n_trial *= len(v)\n            self.n_trials = min(self.n_trials, n_trial)\n            log.info(\n                f\"Updating num of trials to {self.n_trials} due to using GridSampler.\"\n            )\n\n        # Remove fixed parameters from Optuna search space.\n        for param_name in fixed_params:\n            if param_name in search_space_distributions:\n                del search_space_distributions[param_name]\n\n        directions = self._get_directions()\n\n        study = optuna.create_study(\n            study_name=self.study_name,\n            storage=self.storage,\n            sampler=self.sampler,\n            directions=directions,\n            load_if_exists=True,\n        )\n        log.info(f\"Study name: {study.study_name}\")\n        log.info(f\"Storage: {self.storage}\")\n        log.info(f\"Sampler: {type(self.sampler).__name__}\")\n        log.info(f\"Directions: {directions}\")\n\n        batch_size = self.n_jobs\n        n_trials_to_go = self.n_trials\n        # ... other code", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_OptunaSweeperImpl.sweep.while_n_trials_to_go_0__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py_OptunaSweeperImpl.sweep.while_n_trials_to_go_0__", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/_impl.py", "file_name": "_impl.py", "file_type": "text/x-python", "category": "implementation", "start_line": 346, "end_line": 438, "span_ids": ["OptunaSweeperImpl.sweep"], "tokens": 796}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class OptunaSweeperImpl(Sweeper):\n\n    def sweep(self, arguments: List[str]) -> None:\n        # ... other code\n\n        while n_trials_to_go > 0:\n            batch_size = min(n_trials_to_go, batch_size)\n\n            trials = [study.ask() for _ in range(batch_size)]\n            overrides = self._configure_trials(\n                trials, search_space_distributions, fixed_params\n            )\n\n            returns = self.launcher.launch(overrides, initial_job_idx=self.job_idx)\n            self.job_idx += len(returns)\n            failures = []\n            for trial, ret in zip(trials, returns):\n                values: Optional[List[float]] = None\n                state: optuna.trial.TrialState = optuna.trial.TrialState.COMPLETE\n                try:\n                    if len(directions) == 1:\n                        try:\n                            values = [float(ret.return_value)]\n                        except (ValueError, TypeError):\n                            raise ValueError(\n                                f\"Return value must be float-castable. Got '{ret.return_value}'.\"\n                            ).with_traceback(sys.exc_info()[2])\n                    else:\n                        try:\n                            values = [float(v) for v in ret.return_value]\n                        except (ValueError, TypeError):\n                            raise ValueError(\n                                \"Return value must be a list or tuple of float-castable values.\"\n                                f\" Got '{ret.return_value}'.\"\n                            ).with_traceback(sys.exc_info()[2])\n                        if len(values) != len(directions):\n                            raise ValueError(\n                                \"The number of the values and the number of the objectives are\"\n                                f\" mismatched. Expect {len(directions)}, but actually {len(values)}.\"\n                            )\n\n                    try:\n                        study.tell(trial=trial, state=state, values=values)\n                    except RuntimeError as e:\n                        if (\n                            is_grid_sampler\n                            and \"`Study.stop` is supposed to be invoked inside an objective function or a callback.\"\n                            in str(e)\n                        ):\n                            pass\n                        else:\n                            raise e\n\n                except Exception as e:\n                    state = optuna.trial.TrialState.FAIL\n                    study.tell(trial=trial, state=state, values=values)\n                    log.warning(f\"Failed experiment: {e}\")\n                    failures.append(e)\n\n            # raise if too many failures\n            if len(failures) / len(returns) > self.max_failure_rate:\n                log.error(\n                    f\"Failed {failures} times out of {len(returns)} \"\n                    f\"with max_failure_rate={self.max_failure_rate}.\"\n                )\n                assert len(failures) > 0\n                for ret in returns:\n                    ret.return_value  # delegate raising to JobReturn, with actual traceback\n\n            n_trials_to_go -= batch_size\n\n        results_to_serialize: Dict[str, Any]\n        if len(directions) < 2:\n            best_trial = study.best_trial\n            results_to_serialize = {\n                \"name\": \"optuna\",\n                \"best_params\": best_trial.params,\n                \"best_value\": best_trial.value,\n            }\n            log.info(f\"Best parameters: {best_trial.params}\")\n            log.info(f\"Best value: {best_trial.value}\")\n        else:\n            best_trials = study.best_trials\n            pareto_front = [\n                {\"params\": t.params, \"values\": t.values} for t in best_trials\n            ]\n            results_to_serialize = {\n                \"name\": \"optuna\",\n                \"solutions\": pareto_front,\n            }\n            log.info(f\"Number of Pareto solutions: {len(best_trials)}\")\n            for t in best_trials:\n                log.info(f\"    Values: {t.values}, Params: {t.params}\")\n        OmegaConf.save(\n            OmegaConf.create(results_to_serialize),\n            f\"{self.config.hydra.sweep.dir}/optimization_results.yaml\",\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py_from_dataclasses_import_d_GridSamplerConfig._partial_.True": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py_from_dataclasses_import_d_GridSamplerConfig._partial_.True", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 34, "span_ids": ["SamplerConfig", "Direction", "DistributionType", "docstring", "GridSamplerConfig"], "tokens": 174}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass, field\nfrom enum import Enum\nfrom typing import Any, Dict, List, Optional\n\nfrom hydra.core.config_store import ConfigStore\nfrom omegaconf import MISSING\n\n\nclass DistributionType(Enum):\n    int = 1\n    float = 2\n    categorical = 3\n\n\nclass Direction(Enum):\n    minimize = 1\n    maximize = 2\n\n\n@dataclass\nclass SamplerConfig:\n    _target_: str = MISSING\n\n\n@dataclass\nclass GridSamplerConfig(SamplerConfig):\n    \"\"\"\n    https://optuna.readthedocs.io/en/stable/reference/generated/optuna.samplers.GridSampler.html\n    \"\"\"\n\n    _target_: str = \"optuna.samplers.GridSampler\"\n    # search_space will be populated at run time based on hydra.sweeper.params\n    _partial_: bool = True", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py_TPESamplerConfig_RandomSamplerConfig.seed.None": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py_TPESamplerConfig_RandomSamplerConfig.seed.None", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 37, "end_line": 63, "span_ids": ["RandomSamplerConfig", "TPESamplerConfig"], "tokens": 202}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass TPESamplerConfig(SamplerConfig):\n    \"\"\"\n    https://optuna.readthedocs.io/en/stable/reference/generated/optuna.samplers.TPESampler.html\n    \"\"\"\n\n    _target_: str = \"optuna.samplers.TPESampler\"\n    seed: Optional[int] = None\n\n    consider_prior: bool = True\n    prior_weight: float = 1.0\n    consider_magic_clip: bool = True\n    consider_endpoints: bool = False\n    n_startup_trials: int = 10\n    n_ei_candidates: int = 24\n    multivariate: bool = False\n    warn_independent_sampling: bool = True\n\n\n@dataclass\nclass RandomSamplerConfig(SamplerConfig):\n    \"\"\"\n    https://optuna.readthedocs.io/en/stable/reference/generated/optuna.samplers.RandomSampler.html\n    \"\"\"\n\n    _target_: str = \"optuna.samplers.RandomSampler\"\n    seed: Optional[int] = None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py_CmaEsSamplerConfig_CmaEsSamplerConfig.source_trials.None": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py_CmaEsSamplerConfig_CmaEsSamplerConfig.source_trials.None", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 66, "end_line": 83, "span_ids": ["CmaEsSamplerConfig"], "tokens": 161}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass CmaEsSamplerConfig(SamplerConfig):\n    \"\"\"\n    https://optuna.readthedocs.io/en/stable/reference/generated/optuna.samplers.CmaEsSampler.html\n    \"\"\"\n\n    _target_: str = \"optuna.samplers.CmaEsSampler\"\n    seed: Optional[int] = None\n\n    x0: Optional[Dict[str, Any]] = None\n    sigma0: Optional[float] = None\n    independent_sampler: Optional[Any] = None\n    warn_independent_sampling: bool = True\n    consider_pruned_trials: bool = False\n    restart_strategy: Optional[Any] = None\n    inc_popsize: int = 2\n    use_separable_cma: bool = False\n    source_trials: Optional[Any] = None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py_NSGAIISamplerConfig_NSGAIISamplerConfig.constraints_func.None": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py_NSGAIISamplerConfig_NSGAIISamplerConfig.constraints_func.None", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 86, "end_line": 99, "span_ids": ["NSGAIISamplerConfig"], "tokens": 120}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass NSGAIISamplerConfig(SamplerConfig):\n    \"\"\"\n    https://optuna.readthedocs.io/en/stable/reference/generated/optuna.samplers.NSGAIISampler.html\n    \"\"\"\n\n    _target_: str = \"optuna.samplers.NSGAIISampler\"\n    seed: Optional[int] = None\n\n    population_size: int = 50\n    mutation_prob: Optional[float] = None\n    crossover_prob: float = 0.9\n    swapping_prob: float = 0.5\n    constraints_func: Optional[Any] = None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py_MOTPESamplerConfig_MOTPESamplerConfig.n_ehvi_candidates.24": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py_MOTPESamplerConfig_MOTPESamplerConfig.n_ehvi_candidates.24", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 102, "end_line": 116, "span_ids": ["MOTPESamplerConfig"], "tokens": 125}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass MOTPESamplerConfig(SamplerConfig):\n    \"\"\"\n    https://optuna.readthedocs.io/en/stable/reference/generated/optuna.samplers.MOTPESampler.html\n    \"\"\"\n\n    _target_: str = \"optuna.samplers.MOTPESampler\"\n    seed: Optional[int] = None\n\n    consider_prior: bool = True\n    prior_weight: float = 1.0\n    consider_magic_clip: bool = True\n    consider_endpoints: bool = False\n    n_startup_trials: int = 10\n    n_ehvi_candidates: int = 24", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py_OptunaSweeperConf_OptunaSweeperConf.custom_search_space.None": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py_OptunaSweeperConf_OptunaSweeperConf.custom_search_space.None", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/hydra_plugins/hydra_optuna_sweeper/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 147, "end_line": 187, "span_ids": ["OptunaSweeperConf"], "tokens": 365}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass OptunaSweeperConf:\n    _target_: str = \"hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper\"\n    defaults: List[Any] = field(default_factory=lambda: defaults)\n\n    # Sampling algorithm\n    # Please refer to the reference for further details\n    # https://optuna.readthedocs.io/en/stable/reference/samplers.html\n    sampler: SamplerConfig = MISSING\n\n    # Direction of optimization\n    # Union[Direction, List[Direction]]\n    direction: Any = Direction.minimize\n\n    # Storage URL to persist optimization results\n    # For example, you can use SQLite if you set 'sqlite:///example.db'\n    # Please refer to the reference for further details\n    # https://optuna.readthedocs.io/en/stable/reference/storages.html\n    storage: Optional[Any] = None\n\n    # Name of study to persist optimization results\n    study_name: Optional[str] = None\n\n    # Total number of function evaluations\n    n_trials: int = 20\n\n    # Number of parallel workers\n    n_jobs: int = 2\n    max_failure_rate: float = 0.0\n\n    search_space: Optional[Dict[str, Any]] = None\n\n    params: Optional[Dict[str, str]] = None\n\n    # Allow custom trial configuration via Python methods.\n    # If given, `custom_search_space` should be a an instantiate-style dotpath targeting\n    # a callable with signature Callable[[DictConfig, optuna.trial.Trial], None].\n    # https://optuna.readthedocs.io/en/stable/tutorial/10_key_features/002_configurations.html\n    custom_search_space: Optional[str] = None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_test_create_params_from_overrides_test_create_params_from_overrides.assert_actual_expected": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_test_create_params_from_overrides_test_create_params_from_overrides.assert_actual_expected", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py", "file_name": "test_optuna_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 109, "end_line": 132, "span_ids": ["test_create_params_from_overrides"], "tokens": 214}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"input, expected\",\n    [\n        ([\"key=choice(1,2)\"], ({\"key\": CategoricalDistribution([1, 2])}, {})),\n        ([\"key=5\"], ({}, {\"key\": \"5\"})),\n        (\n            [\"key1=choice(1,2)\", \"key2=5\"],\n            ({\"key1\": CategoricalDistribution([1, 2])}, {\"key2\": \"5\"}),\n        ),\n        (\n            [\"key1=choice(1,2)\", \"key2=5\", \"key3=range(1,3)\"],\n            (\n                {\n                    \"key1\": CategoricalDistribution([1, 2]),\n                    \"key3\": IntUniformDistribution(1, 3),\n                },\n                {\"key2\": \"5\"},\n            ),\n        ),\n    ],\n)\ndef test_create_params_from_overrides(input: Any, expected: Any) -> None:\n    actual = _impl.create_params_from_overrides(input)\n    assert actual == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_test_example_with_grid_sampler_test_example_with_grid_sampler.assert_bz_in_foo_bar": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_test_example_with_grid_sampler_test_example_with_grid_sampler.assert_bz_in_foo_bar", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py", "file_name": "test_optuna_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 195, "end_line": 227, "span_ids": ["test_example_with_grid_sampler"], "tokens": 305}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"num_trials\", (10, 1))\ndef test_example_with_grid_sampler(\n    tmpdir: Path,\n    num_trials: int,\n) -> None:\n    storage = \"sqlite:///\" + os.path.join(str(tmpdir), \"test.db\")\n    study_name = \"test-grid-sampler\"\n    cmd = [\n        \"example/sphere.py\",\n        \"--multirun\",\n        \"--config-dir=tests/conf\",\n        \"--config-name=test_grid\",\n        \"hydra.sweep.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=False\",\n        f\"hydra.sweeper.n_trials={num_trials}\",\n        \"hydra.sweeper.n_jobs=1\",\n        f\"hydra.sweeper.storage={storage}\",\n        f\"hydra.sweeper.study_name={study_name}\",\n    ]\n    run_python_script(cmd)\n    returns = OmegaConf.load(f\"{tmpdir}/optimization_results.yaml\")\n    assert isinstance(returns, DictConfig)\n    bv, bx, by, bz = (\n        returns[\"best_value\"],\n        returns[\"best_params\"][\"x\"],\n        returns[\"best_params\"][\"y\"],\n        returns[\"best_params\"][\"z\"],\n    )\n    if num_trials >= 12:\n        assert bv == 1 and abs(bx) == 1 and by == 0\n    else:\n        assert bx in [-1, 1] and by in [-1, 0]\n    assert bz in [\"foo\", \"bar\"]", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_test_optuna_multi_objective_example_test_optuna_multi_objective_example.None_1.else_.for_trial_x_in_returns_s.for_trial_y_in_returns_s.assert_not__dominates_tri": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_test_optuna_multi_objective_example_test_optuna_multi_objective_example.None_1.else_.for_trial_x_in_returns_s.for_trial_y_in_returns_s.assert_not__dominates_tri", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py", "file_name": "test_optuna_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 230, "end_line": 264, "span_ids": ["test_optuna_multi_objective_example"], "tokens": 370}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"with_commandline\", (True, False))\ndef test_optuna_multi_objective_example(with_commandline: bool, tmpdir: Path) -> None:\n    cmd = [\n        \"example/multi-objective.py\",\n        \"--multirun\",\n        \"hydra.sweep.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"hydra.sweeper.n_trials=20\",\n        \"hydra.sweeper.n_jobs=1\",\n        \"hydra/sweeper/sampler=random\",\n        \"hydra.sweeper.sampler.seed=123\",\n    ]\n    if with_commandline:\n        cmd += [\n            \"x=range(0, 5)\",\n            \"y=range(0, 3)\",\n        ]\n    run_python_script(cmd)\n    returns = OmegaConf.load(f\"{tmpdir}/optimization_results.yaml\")\n    assert isinstance(returns, DictConfig)\n    assert returns.name == \"optuna\"\n    if with_commandline:\n        for trial_x in returns[\"solutions\"]:\n            assert trial_x[\"params\"][\"x\"] % 1 == 0\n            assert trial_x[\"params\"][\"y\"] % 1 == 0\n            # The trials must not dominate each other.\n            for trial_y in returns[\"solutions\"]:\n                assert not _dominates(trial_x, trial_y)\n    else:\n        for trial_x in returns[\"solutions\"]:\n            assert trial_x[\"params\"][\"x\"] % 1 in {0, 0.5}\n            assert trial_x[\"params\"][\"y\"] % 1 in {0, 0.5}\n            # The trials must not dominate each other.\n            for trial_y in returns[\"solutions\"]:\n                assert not _dominates(trial_x, trial_y)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py__dominates_test_optuna_custom_search_space_example.assert_0_w_1": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py__dominates_test_optuna_custom_search_space_example.assert_0_w_1", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py", "file_name": "test_optuna_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 267, "end_line": 295, "span_ids": ["test_optuna_custom_search_space_example", "_dominates"], "tokens": 284}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def _dominates(values_x: List[float], values_y: List[float]) -> bool:\n    return all(x <= y for x, y in zip(values_x, values_y)) and any(\n        x < y for x, y in zip(values_x, values_y)\n    )\n\n\ndef test_optuna_custom_search_space_example(tmpdir: Path) -> None:\n    max_z_difference_from_x = 0.3\n    cmd = [\n        \"example/custom-search-space-objective.py\",\n        \"--multirun\",\n        \"hydra.sweep.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"hydra.sweeper.n_trials=20\",\n        \"hydra.sweeper.n_jobs=1\",\n        \"hydra/sweeper/sampler=random\",\n        \"hydra.sweeper.sampler.seed=123\",\n        f\"max_z_difference_from_x={max_z_difference_from_x}\",\n    ]\n    run_python_script(cmd)\n    returns = OmegaConf.load(f\"{tmpdir}/optimization_results.yaml\")\n    assert isinstance(returns, DictConfig)\n    assert returns.name == \"optuna\"\n    assert (\n        abs(returns[\"best_params\"][\"x\"] - returns[\"best_params\"][\"z\"])\n        <= max_z_difference_from_x\n    )\n    w = returns[\"best_params\"][\"+w\"]\n    assert 0 <= w <= 1", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/config.py_from_dataclasses_import_d_BaseQueueConf.stderr_to_stdout.False": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/config.py_from_dataclasses_import_d_BaseQueueConf.stderr_to_stdout.False", "embedding": null, "metadata": {"file_path": "plugins/hydra_submitit_launcher/hydra_plugins/hydra_submitit_launcher/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 29, "span_ids": ["BaseQueueConf", "docstring"], "tokens": 233}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass, field\nfrom typing import Any, Dict, List, Optional\n\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass\nclass BaseQueueConf:\n    \"\"\"Configuration shared by all executors\"\"\"\n\n    submitit_folder: str = \"${hydra.sweep.dir}/.submitit/%j\"\n\n    # maximum time for the job in minutes\n    timeout_min: int = 60\n    # number of cpus to use for each task\n    cpus_per_task: Optional[int] = None\n    # number of gpus to use on each node\n    gpus_per_node: Optional[int] = None\n    # number of tasks to spawn on each node\n    tasks_per_node: int = 1\n    # memory to reserve for the job on each node (in GB)\n    mem_gb: Optional[int] = None\n    # number of nodes to use for the job\n    nodes: int = 1\n    # name of the job\n    name: str = \"${hydra.job.name}\"\n    # redirect stderr to stdout\n    stderr_to_stdout: bool = False", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/data.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/data.py__", "embedding": null, "metadata": {"file_path": "tests/data.py", "file_name": "data.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 21, "span_ids": ["foo_main_module", "impl:3", "impl", "docstring", "Bar", "foo"], "tokens": 78}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\ndef foo() -> None:\n    ...\n\n\ndef foo_main_module() -> None:\n    ...\n\n\nfoo_main_module.__module__ = \"__main__\"\n\n\nclass Bar:\n    ...\n\n\nbar_instance = Bar()\n\nbar_instance_main_module = Bar()\nbar_instance_main_module.__module__ = \"__main__\"", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_TestDeprecatedOptional_TestDeprecatedOptional.test_version_base_1_1.assert_result_defaults_li": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_TestDeprecatedOptional_TestDeprecatedOptional.test_version_base_1_1.assert_result_defaults_li", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 74, "end_line": 105, "span_ids": ["TestDeprecatedOptional.test_version_base_1_1", "TestDeprecatedOptional"], "tokens": 209}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_path,expected_list\",\n    [\n        param(\n            \"optional_deprecated\",\n            [GroupDefault(group=\"group1\", value=\"file1\", optional=True)],\n            id=\"optional\",\n        ),\n    ],\n)\nclass TestDeprecatedOptional:\n    def test_version_base_1_1(\n        self,\n        config_path: str,\n        expected_list: List[InputDefault],\n        hydra_restore_singletons: Any,\n    ) -> None:\n        version.setbase(\"1.1\")\n        repo = create_repo()\n        warning = dedent(\n            \"\"\"\n                In optional_deprecated: 'optional: true' is deprecated.\n                Use 'optional group1: file1' instead.\n                Support for the old style is removed for Hydra version_base >= 1.2\"\"\"\n        )\n        with warns(\n            UserWarning,\n            match=re.escape(warning),\n        ):\n            result = repo.load_config(config_path=config_path)\n        assert result is not None\n        assert result.defaults_list == expected_list", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_TestDeprecatedOptional.test_version_base_1_2_TestDeprecatedOptional.test_version_base_1_2.with_raises_.repo_load_config_config_p": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_TestDeprecatedOptional.test_version_base_1_2_TestDeprecatedOptional.test_version_base_1_2.with_raises_.repo_load_config_config_p", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 107, "end_line": 122, "span_ids": ["TestDeprecatedOptional.test_version_base_1_2"], "tokens": 184}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_path,expected_list\",\n    [\n        param(\n            \"optional_deprecated\",\n            [GroupDefault(group=\"group1\", value=\"file1\", optional=True)],\n            id=\"optional\",\n        ),\n    ],\n)\nclass TestDeprecatedOptional:\n\n    @mark.parametrize(\"version_base\", [\"1.2\", None])\n    def test_version_base_1_2(\n        self,\n        config_path: str,\n        expected_list: List[InputDefault],\n        version_base: Optional[str],\n        hydra_restore_singletons: Any,\n    ) -> None:\n        version.setbase(version_base)\n        repo = create_repo()\n        err = \"In optional_deprecated: Too many keys in default item {'group1': 'file1', 'optional': True}\"\n        with raises(\n            ValueError,\n            match=re.escape(err),\n        ):\n            repo.load_config(config_path=config_path)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_legacy_override_hydra_version_base_1_2_test_legacy_override_hydra_version_base_1_2._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_legacy_override_hydra_version_base_1_2_test_legacy_override_hydra_version_base_1_2._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 1220, "end_line": 1254, "span_ids": ["test_legacy_override_hydra_version_base_1_2"], "tokens": 209}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"legacy_override_hydra\",\n            [],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    dedent(\n                        \"\"\"\\\n                        Multiple values for hydra/help. To override a value use 'override hydra/help: custom1'\"\"\"\n                    )\n                ),\n            ),\n            id=\"override_hydra\",\n        ),\n    ],\n)\n@mark.parametrize(\"version_base\", [\"1.2\", None])\ndef test_legacy_override_hydra_version_base_1_2(\n    config_name: str,\n    overrides: List[str],\n    expected: List[ResultDefault],\n    recwarn: Any,  # Testing deprecated behavior\n    version_base: Optional[str],\n    hydra_restore_singletons: Any,\n) -> None:\n    version.setbase(version_base)\n    _test_defaults_list_impl(\n        config_name=config_name,\n        overrides=overrides,\n        expected=expected,\n        prepend_hydra=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_legacy_override_hydra_version_base_1_1_test_legacy_override_hydra_version_base_1_1._test_defaults_list_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_list.py_test_legacy_override_hydra_version_base_1_1_test_legacy_override_hydra_version_base_1_1._test_defaults_list_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_list.py", "file_name": "test_defaults_list.py", "file_type": "text/x-python", "category": "test", "start_line": 1257, "end_line": 1306, "span_ids": ["test_legacy_override_hydra_version_base_1_1"], "tokens": 273}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"legacy_override_hydra\",\n            [],\n            [\n                ResultDefault(\n                    config_path=\"hydra/help/custom1\",\n                    parent=\"hydra/config\",\n                    package=\"hydra.help\",\n                    is_self=False,\n                ),\n                ResultDefault(\n                    config_path=\"hydra/output/default\",\n                    parent=\"hydra/config\",\n                    package=\"hydra\",\n                    is_self=False,\n                ),\n                ResultDefault(\n                    config_path=\"hydra/config\",\n                    parent=\"<root>\",\n                    package=\"hydra\",\n                    is_self=True,\n                ),\n                ResultDefault(\n                    config_path=\"legacy_override_hydra\",\n                    parent=\"<root>\",\n                    package=\"\",\n                    is_self=True,\n                ),\n            ],\n            id=\"override_hydra\",\n        ),\n    ],\n)\ndef test_legacy_override_hydra_version_base_1_1(\n    config_name: str,\n    overrides: List[str],\n    expected: List[ResultDefault],\n    recwarn: Any,  # Testing deprecated behavior\n    hydra_restore_singletons: Any,\n) -> None:\n    version.setbase(\"1.1\")\n    _test_defaults_list_impl(\n        config_name=config_name,\n        overrides=overrides,\n        expected=expected,\n        prepend_hydra=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_hydra_overrides_from_primary_config_test_hydra_overrides_from_primary_config._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_hydra_overrides_from_primary_config_test_hydra_overrides_from_primary_config._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 711, "end_line": 797, "span_ids": ["test_hydra_overrides_from_primary_config"], "tokens": 492}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"override_hydra2\",\n            [],\n            DefaultsTreeNode(\n                node=VirtualRoot(),\n                children=[\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"hydra/config\"),\n                        children=[\n                            GroupDefault(group=\"help\", value=\"custom1\"),\n                            GroupDefault(group=\"output\", value=\"default\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"override_hydra2\"),\n                ],\n            ),\n            id=\"override_hydra2\",\n        ),\n        param(\n            \"override_hydra2\",\n            [\"hydra/help=custom2\"],\n            DefaultsTreeNode(\n                node=VirtualRoot(),\n                children=[\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"hydra/config\"),\n                        children=[\n                            GroupDefault(group=\"help\", value=\"custom2\"),\n                            GroupDefault(group=\"output\", value=\"default\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"override_hydra2\"),\n                ],\n            ),\n            id=\"override_hydra2+external\",\n        ),\n        param(\n            \"override_hydra3\",\n            [],\n            DefaultsTreeNode(\n                node=VirtualRoot(),\n                children=[\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"hydra/config\"),\n                        children=[\n                            GroupDefault(group=\"help\", value=\"custom1\"),\n                            GroupDefault(group=\"output\", value=\"disabled\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    ConfigDefault(path=\"override_hydra3\"),\n                ],\n            ),\n            id=\"override_hydra3+external\",\n        ),\n        param(\n            \"override_hydra_wrong_order\",\n            [],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    dedent(\n                        \"\"\"\\\n                    In override_hydra_wrong_order: Override 'hydra/help : custom1' is defined before 'group1: file1'\"\"\"\n                    )\n                ),\n            ),\n            id=\"override_hydra_wrong_order\",\n        ),\n    ],\n)\ndef test_hydra_overrides_from_primary_config(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n) -> None:\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n        prepend_hydra=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_legacy_override_hydra_version_base_1_2_test_legacy_override_hydra_version_base_1_2._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_legacy_override_hydra_version_base_1_2_test_legacy_override_hydra_version_base_1_2._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 800, "end_line": 861, "span_ids": ["test_legacy_override_hydra_version_base_1_2"], "tokens": 351}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"legacy_override_hydra\",\n            [],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    dedent(\n                        \"\"\"\\\n                        Multiple values for hydra/help. To override a value use 'override hydra/help: custom1'\"\"\"\n                    )\n                ),\n            ),\n            id=\"legacy_override_hydra-error\",\n        ),\n        param(\n            \"legacy_override_hydra2\",\n            [],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    dedent(\n                        \"\"\"\\\n                        Multiple values for hydra/output. To override a value use 'override hydra/output: disabled'\"\"\"\n                    )\n                ),\n            ),\n            id=\"legacy_override_hydra2-error\",\n        ),\n        param(\n            \"legacy_override_hydra_wrong_order\",\n            [],\n            raises(\n                ConfigCompositionException,\n                match=re.escape(\n                    dedent(\n                        \"\"\"\\\n                        Multiple values for hydra/help. To override a value use 'override hydra/help: custom1'\"\"\"\n                    )\n                ),\n            ),\n            id=\"legacy_override_hydra_wrong_order\",\n        ),\n    ],\n)\n@mark.parametrize(\"version_base\", [\"1.2\", None])\ndef test_legacy_override_hydra_version_base_1_2(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n    version_base: Optional[str],\n    hydra_restore_singletons: Any,\n) -> None:\n    version.setbase(version_base)\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n        prepend_hydra=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_legacy_override_hydra_version_base_1_1_test_legacy_override_hydra_version_base_1_1.with_warns_expected_warni._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_legacy_override_hydra_version_base_1_1_test_legacy_override_hydra_version_base_1_1.with_warns_expected_warni._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 864, "end_line": 957, "span_ids": ["test_legacy_override_hydra_version_base_1_1"], "tokens": 573}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"legacy_override_hydra\",\n            [],\n            DefaultsTreeNode(\n                node=VirtualRoot(),\n                children=[\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"hydra/config\"),\n                        children=[\n                            GroupDefault(group=\"help\", value=\"custom1\"),\n                            GroupDefault(group=\"output\", value=\"default\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"legacy_override_hydra\"),\n                        children=[ConfigDefault(path=\"_self_\")],\n                    ),\n                ],\n            ),\n            id=\"legacy_override_hydra\",\n        ),\n        param(\n            \"legacy_override_hydra2\",\n            [],\n            DefaultsTreeNode(\n                node=VirtualRoot(),\n                children=[\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"hydra/config\"),\n                        children=[\n                            GroupDefault(group=\"help\", value=\"custom1\"),\n                            GroupDefault(group=\"output\", value=\"disabled\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"legacy_override_hydra2\"),\n                        children=[ConfigDefault(path=\"_self_\")],\n                    ),\n                ],\n            ),\n            id=\"legacy_override_hydra2\",\n        ),\n        param(\n            \"legacy_override_hydra_wrong_order\",\n            [],\n            DefaultsTreeNode(\n                node=VirtualRoot(),\n                children=[\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"hydra/config\"),\n                        children=[\n                            GroupDefault(group=\"help\", value=\"custom1\"),\n                            GroupDefault(group=\"output\", value=\"default\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"legacy_override_hydra_wrong_order\"),\n                        children=[\n                            GroupDefault(group=\"group1\", value=\"file1\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                ],\n            ),\n            id=\"legacy_override_hydra_wrong_order\",\n        ),\n    ],\n)\ndef test_legacy_override_hydra_version_base_1_1(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n    hydra_restore_singletons: Any,\n) -> None:\n    version.setbase(\"1.1\")\n    msg = dedent(\n        \"\"\"\\\n        Invalid overriding of hydra/help:\n        Default list overrides requires 'override' keyword.\n        See https://hydra.cc/docs/next/upgrades/1.0_to_1.1/defaults_list_override for more information.\"\"\"\n    )\n    with warns(expected_warning=UserWarning, match=re.escape(msg)):\n        _test_defaults_tree_impl(\n            config_name=config_name,\n            input_overrides=overrides,\n            expected=expected,\n            prepend_hydra=True,\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_use_of_custom_subgroup_of_hydra_test_use_of_custom_subgroup_of_hydra._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_use_of_custom_subgroup_of_hydra_test_use_of_custom_subgroup_of_hydra._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 1138, "end_line": 1183, "span_ids": ["test_use_of_custom_subgroup_of_hydra"], "tokens": 275}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"override_hydra4\",\n            [],\n            DefaultsTreeNode(\n                node=VirtualRoot(),\n                children=[\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"hydra/config\"),\n                        children=[\n                            GroupDefault(group=\"help\", value=\"default\"),\n                            GroupDefault(group=\"output\", value=\"disabled\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                    DefaultsTreeNode(\n                        node=ConfigDefault(path=\"override_hydra4\"),\n                        children=[\n                            GroupDefault(group=\"group1\", value=\"file1\"),\n                            GroupDefault(group=\"hydra/run\", value=\"custom1\"),\n                            ConfigDefault(path=\"_self_\"),\n                        ],\n                    ),\n                ],\n            ),\n            id=\"override_hydra4\",\n        ),\n    ],\n)\n@mark.parametrize(\"version_base\", [\"1.2\", None])\ndef test_use_of_custom_subgroup_of_hydra(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n    version_base: Optional[str],\n    hydra_restore_singletons: Any,\n) -> None:\n    version.setbase(version_base)\n    _test_defaults_tree_impl(\n        config_name=config_name,\n        input_overrides=overrides,\n        expected=expected,\n        prepend_hydra=True,\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/__init__.py_collections__convert_type.return.obj": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/__init__.py_collections__convert_type.return.obj", "embedding": null, "metadata": {"file_path": "tests/instantiate/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 21, "span_ids": ["_convert_type", "docstring"], "tokens": 120}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import collections\nimport collections.abc\nfrom dataclasses import dataclass\nfrom functools import partial\nfrom typing import Any, Dict, List, NoReturn, Optional, Tuple\n\nfrom omegaconf import MISSING, DictConfig, ListConfig\n\nfrom hydra.types import TargetConf\nfrom tests.instantiate.module_shadowed_by_function import a_function\n\nmodule_shadowed_by_function = a_function\n\n\ndef _convert_type(obj: Any) -> Any:\n    if isinstance(obj, DictConfig):\n        obj = dict(obj)\n    elif isinstance(obj, ListConfig):\n        obj = list(obj)\n    return obj", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/__init__.py_partial_equal_partial_equal.return.all_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/__init__.py_partial_equal_partial_equal.return.all_", "embedding": null, "metadata": {"file_path": "tests/instantiate/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 24, "end_line": 50, "span_ids": ["partial_equal"], "tokens": 221}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def partial_equal(obj1: Any, obj2: Any) -> bool:\n    if obj1 == obj2:\n        return True\n\n    obj1, obj2 = _convert_type(obj1), _convert_type(obj2)\n\n    if type(obj1) != type(obj2):\n        return False\n    if isinstance(obj1, dict):\n        if len(obj1) != len(obj2):\n            return False\n        for i in obj1.keys():\n            if not partial_equal(obj1[i], obj2[i]):\n                return False\n        return True\n    if isinstance(obj1, list):\n        if len(obj1) != len(obj2):\n            return False\n        return all([partial_equal(obj1[i], obj2[i]) for i in range(len(obj1))])\n    if not (isinstance(obj1, partial) and isinstance(obj2, partial)):\n        return False\n    return all(\n        [\n            partial_equal(getattr(obj1, attr), getattr(obj2, attr))\n            for attr in [\"func\", \"args\", \"keywords\"]\n        ]\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/__init__.py_OuterClass_Transform._": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/__init__.py_OuterClass_Transform._", "embedding": null, "metadata": {"file_path": "tests/instantiate/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 70, "end_line": 236, "span_ids": ["impl:3", "AdamConf", "Parameters", "ClassWithMissingModule.__init__", "ASubclass", "add_values", "ExceptionTakingNoArgument", "module_function", "ClassWithMissingModule", "OuterClass.Nested", "BClass", "ASubclass.static_method", "NestingClass", "User", "AClass.static_method", "Parameters.__init__", "UserGroup", "BadAdamConf", "IllegalType", "OuterClass.Nested.__init__", "IllegalType.__eq__", "Parameters.__deepcopy__", "UntypedPassthroughConf", "KeywordsInParamsClass", "module_function2", "Parameters.__eq__", "AClass", "Transform", "ASubclass.class_method", "AnotherClass", "UntypedPassthroughClass", "Adam", "OuterClass.method", "ExceptionTakingNoArgument.__init__", "OuterClass.Nested.method", "raise_exception_taking_no_argument", "OuterClass", "OuterClass.__init__"], "tokens": 823}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class OuterClass:\n    def __init__(self) -> None:\n        pass\n\n    @staticmethod\n    def method() -> str:\n        return \"OuterClass.method return\"\n\n    class Nested:\n        def __init__(self) -> None:\n            pass\n\n        @staticmethod\n        def method() -> str:\n            return \"OuterClass.Nested.method return\"\n\n\ndef add_values(a: int, b: int) -> int:\n    return a + b\n\n\ndef module_function(x: int) -> int:\n    return x\n\n\ndef module_function2() -> str:\n    return \"fn return\"\n\n\nclass ExceptionTakingNoArgument(Exception):\n    def __init__(self) -> None:\n        \"\"\"Init method taking only one argument (self)\"\"\"\n        super().__init__(\"Err message\")\n\n\ndef raise_exception_taking_no_argument() -> NoReturn:\n    raise ExceptionTakingNoArgument()\n\n\n@dataclass\nclass AClass:\n    a: Any\n    b: Any\n    c: Any\n    d: Any = \"default_value\"\n\n    @staticmethod\n    def static_method(z: int) -> int:\n        return z\n\n\n@dataclass\nclass BClass:\n    a: Any\n    b: Any\n    c: Any = \"c\"\n    d: Any = \"d\"\n\n\n@dataclass\nclass KeywordsInParamsClass:\n    target: Any\n    partial: Any\n\n\n@dataclass\nclass UntypedPassthroughConf:\n    _target_: str = \"tests.instantiate.UntypedPassthroughClass\"\n    a: Any = MISSING\n\n\n@dataclass\nclass UntypedPassthroughClass:\n    a: Any\n\n\n# Type not legal in a config\nclass IllegalType:\n    def __eq__(self, other: Any) -> Any:\n        return isinstance(other, IllegalType)\n\n\n@dataclass\nclass AnotherClass:\n    x: int\n\n\nclass ASubclass(AnotherClass):\n    @classmethod\n    def class_method(cls, y: int) -> Any:\n        return cls(y + 1)\n\n    @staticmethod\n    def static_method(z: int) -> int:\n        return z\n\n\nclass Parameters:\n    def __init__(self, params: List[float]):\n        self.params = params\n\n    def __eq__(self, other: Any) -> Any:\n        if isinstance(other, Parameters):\n            return self.params == other.params\n        return False\n\n    def __deepcopy__(self, memodict: Any = {}) -> Any:\n        raise NotImplementedError(\"Pytorch parameters does not support deepcopy\")\n\n\n@dataclass\nclass Adam:\n    params: Parameters\n    lr: float = 0.001\n    betas: Tuple[float, ...] = (0.9, 0.999)\n    eps: float = 1e-08\n    weight_decay: int = 0\n    amsgrad: bool = False\n\n\n@dataclass\nclass NestingClass:\n    a: ASubclass = ASubclass(10)\n\n\nnesting = NestingClass()\n\n\nclass ClassWithMissingModule:\n    def __init__(self) -> None:\n        import some_missing_module  # type: ignore # noqa: F401\n\n        self.x = 1\n\n\n@dataclass\nclass AdamConf:\n    _target_: str = \"tests.instantiate.Adam\"\n    lr: float = 0.001\n    betas: Tuple[float, ...] = (0.9, 0.999)\n    eps: float = 1e-08\n    weight_decay: int = 0\n    amsgrad: bool = False\n\n\n@dataclass\nclass BadAdamConf(TargetConf):\n    # Missing str annotation\n    _target_ = \"tests.instantiate.Adam\"\n\n\n@dataclass\nclass User:\n    name: str = MISSING\n    age: int = MISSING\n\n\n@dataclass\nclass UserGroup:\n    name: str = MISSING\n    users: List[User] = MISSING\n\n\n# RECURSIVE\n# Classes\nclass Transform:\n    ...", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/__init__.py_CenterCrop_Compose.__eq__.return.partial_equal_self_transf": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/__init__.py_CenterCrop_Compose.__eq__.return.partial_equal_self_transf", "embedding": null, "metadata": {"file_path": "tests/instantiate/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 239, "end_line": 268, "span_ids": ["Rotation.__init__", "CenterCrop", "Rotation", "Compose", "Compose.__eq__", "CenterCrop.__init__", "Compose.__init__", "CenterCrop.__eq__", "Rotation.__eq__"], "tokens": 174}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "class CenterCrop(Transform):\n    def __init__(self, size: int):\n        self.size = size\n\n    def __eq__(self, other: Any) -> Any:\n        if isinstance(other, type(self)):\n            return self.size == other.size\n        else:\n            return False\n\n\nclass Rotation(Transform):\n    def __init__(self, degrees: int):\n        self.degrees = degrees\n\n    def __eq__(self, other: Any) -> Any:\n        if isinstance(other, type(self)):\n            return self.degrees == other.degrees\n        else:\n            return False\n\n\nclass Compose:\n    transforms: List[Transform]\n\n    def __init__(self, transforms: List[Transform]):\n        self.transforms = transforms\n\n    def __eq__(self, other: Any) -> Any:\n        return partial_equal(self.transforms, other.transforms)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/module_shadowed_by_function.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/module_shadowed_by_function.py__", "embedding": null, "metadata": {"file_path": "tests/instantiate/module_shadowed_by_function.py", "file_name": "module_shadowed_by_function.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 4, "span_ids": ["a_function", "docstring"], "tokens": 26}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\ndef a_function() -> None:\n    pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_helpers.py_datetime_test_locate.if_isinstance_expected_R.else_.assert__locate_name_e": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_helpers.py_datetime_test_locate.if_isinstance_expected_R.else_.assert__locate_name_e", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_helpers.py", "file_name": "test_helpers.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 141, "span_ids": ["test_locate", "docstring"], "tokens": 847}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import datetime\nimport re\nfrom textwrap import dedent\nfrom typing import Any\n\nfrom _pytest.python_api import RaisesContext, raises\nfrom pytest import mark, param\n\nfrom hydra._internal.utils import _locate\nfrom hydra.utils import get_class, get_method\nfrom tests.instantiate import (\n    AClass,\n    Adam,\n    AnotherClass,\n    ASubclass,\n    NestingClass,\n    Parameters,\n)\n\nfrom .module_shadowed_by_function import a_function\n\n\n@mark.parametrize(\n    \"name,expected\",\n    [\n        param(\n            \"int\",\n            raises(\n                ImportError,\n                match=dedent(\n                    r\"\"\"\n                    Error loading 'int':\n                    ModuleNotFoundError\\(\"No module named 'int'\",?\\)\n                    Are you sure that module 'int' is installed\\?\n                    \"\"\"\n                ).strip(),\n            ),\n            id=\"int\",\n        ),\n        param(\"builtins.int\", int, id=\"builtins_explicit\"),\n        param(\"builtins.int.from_bytes\", int.from_bytes, id=\"method_of_builtin\"),\n        param(\n            \"builtins.int.not_found\",\n            raises(\n                ImportError,\n                match=dedent(\n                    r\"\"\"\n                    Error loading 'builtins\\.int\\.not_found':\n                    AttributeError\\(\"type object 'int' has no attribute 'not_found'\",?\\)\n                    Are you sure that 'not_found' is an attribute of 'builtins\\.int'\\?\n                    \"\"\"\n                ).strip(),\n            ),\n            id=\"builtin_attribute_error\",\n        ),\n        param(\n            \"datetime\",\n            datetime,\n            id=\"top_level_module\",\n        ),\n        (\"tests.instantiate.Adam\", Adam),\n        (\"tests.instantiate.Parameters\", Parameters),\n        (\"tests.instantiate.AClass\", AClass),\n        param(\n            \"tests.instantiate.AClass.static_method\",\n            AClass.static_method,\n            id=\"staticmethod\",\n        ),\n        param(\n            \"tests.instantiate.AClass.not_found\",\n            raises(\n                ImportError,\n                match=dedent(\n                    r\"\"\"\n                    Error loading 'tests\\.instantiate\\.AClass\\.not_found':\n                    AttributeError\\(\"type object 'AClass' has no attribute 'not_found'\",?\\)\n                    Are you sure that 'not_found' is an attribute of 'tests\\.instantiate\\.AClass'\\?\n                    \"\"\"\n                ).strip(),\n            ),\n            id=\"class_attribute_error\",\n        ),\n        (\"tests.instantiate.ASubclass\", ASubclass),\n        (\"tests.instantiate.NestingClass\", NestingClass),\n        (\"tests.instantiate.AnotherClass\", AnotherClass),\n        (\"tests.instantiate.module_shadowed_by_function\", a_function),\n        param(\n            \"\",\n            raises(ImportError, match=(\"Empty path\")),\n            id=\"invalid-path-empty\",\n        ),\n        param(\n            \"toplevel_not_found\",\n            raises(\n                ImportError,\n                match=dedent(\n                    r\"\"\"\n                    Error loading 'toplevel_not_found':\n                    ModuleNotFoundError\\(\"No module named 'toplevel_not_found'\",?\\)\n                    Are you sure that module 'toplevel_not_found' is installed\\?\n                    \"\"\"\n                ).strip(),\n            ),\n            id=\"toplevel_not_found\",\n        ),\n        param(\n            \"tests.instantiate.b.c.Door\",\n            raises(\n                ImportError,\n                match=dedent(\n                    r\"\"\"\n                    Error loading 'tests\\.instantiate\\.b\\.c\\.Door':\n                    ModuleNotFoundError\\(\"No module named 'tests\\.instantiate\\.b'\",?\\)\n                    Are you sure that 'b' is importable from module 'tests\\.instantiate'\\?\"\"\"\n                ).strip(),\n            ),\n            id=\"nested_not_found\",\n        ),\n        param(\n            \"tests.instantiate.import_error\",\n            raises(\n                ImportError,\n                match=re.escape(\n                    dedent(\n                        \"\"\"\\\n                        Error loading 'tests.instantiate.import_error':\n                        AssertionError()\"\"\"\n                    )\n                ),\n            ),\n            id=\"import_assertion_error\",\n        ),\n    ],\n)\ndef test_locate(name: str, expected: Any) -> None:\n    if isinstance(expected, RaisesContext):\n        with expected:\n            _locate(name)\n    else:\n        assert _locate(name) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_helpers.py_test_locate_relative_import_fails_test_locate_relative_import_fails.with_raises_._locate_name_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_helpers.py_test_locate_relative_import_fails_test_locate_relative_import_fails.with_raises_._locate_name_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_helpers.py", "file_name": "test_helpers.py", "file_type": "text/x-python", "category": "test", "start_line": 144, "end_line": 161, "span_ids": ["test_locate_relative_import_fails"], "tokens": 139}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"name\",\n    [\n        param(\".\", id=\"invalid-path-period\"),\n        param(\"..\", id=\"invalid-path-period2\"),\n        param(\".mod\", id=\"invalid-path-relative\"),\n        param(\"..mod\", id=\"invalid-path-relative2\"),\n        param(\"mod.\", id=\"invalid-path-trailing-dot\"),\n        param(\"mod..another\", id=\"invalid-path-two-dots\"),\n    ],\n)\ndef test_locate_relative_import_fails(name: str) -> None:\n    with raises(\n        ValueError,\n        match=r\"Error loading '.*': invalid dotstring\\.\"\n        + re.escape(\"\\nRelative imports are not supported.\"),\n    ):\n        _locate(name)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_helpers.py_test_get_method_test_get_method.if_isinstance_expected_R.else_.assert_get_method_path_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_helpers.py_test_get_method_test_get_method.if_isinstance_expected_R.else_.assert_get_method_path_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_helpers.py", "file_name": "test_helpers.py", "file_type": "text/x-python", "category": "test", "start_line": 164, "end_line": 184, "span_ids": ["test_get_method"], "tokens": 127}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"path,expected\",\n    [\n        param(\"tests.instantiate.AClass\", AClass, id=\"class\"),\n        param(\"builtins.print\", print, id=\"callable\"),\n        param(\n            \"datetime\",\n            raises(\n                ValueError,\n                match=\"Located non-callable of type 'module' while loading 'datetime'\",\n            ),\n            id=\"module-error\",\n        ),\n    ],\n)\ndef test_get_method(path: str, expected: Any) -> None:\n    if isinstance(expected, RaisesContext):\n        with expected:\n            get_method(path)\n    else:\n        assert get_method(path) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_helpers.py_test_get_class_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_helpers.py_test_get_class_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_helpers.py", "file_name": "test_helpers.py", "file_type": "text/x-python", "category": "test", "start_line": 187, "end_line": 216, "span_ids": ["test_get_class"], "tokens": 162}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"path,expected\",\n    [\n        param(\"tests.instantiate.AClass\", AClass, id=\"class\"),\n        param(\n            \"builtins.print\",\n            raises(\n                ValueError,\n                match=\"Located non-class of type 'builtin_function_or_method'\"\n                + \" while loading 'builtins.print'\",\n            ),\n            id=\"callable-error\",\n        ),\n        param(\n            \"datetime\",\n            raises(\n                ValueError,\n                match=\"Located non-class of type 'module' while loading 'datetime'\",\n            ),\n            id=\"module-error\",\n        ),\n    ],\n)\ndef test_get_class(path: str, expected: Any) -> None:\n    if isinstance(expected, RaisesContext):\n        with expected:\n            get_class(path)\n    else:\n        assert get_class(path) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_class_instantiate_omegaconf_node_test_class_instantiate_omegaconf_node.assert_OmegaConf_is_confi": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_class_instantiate_omegaconf_node_test_class_instantiate_omegaconf_node.assert_OmegaConf_is_confi", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 484, "end_line": 499, "span_ids": ["test_class_instantiate_omegaconf_node"], "tokens": 140}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"src\",\n    [\n        (\n            {\n                \"_target_\": \"tests.instantiate.AClass\",\n                \"b\": 200,\n                \"c\": {\"x\": 10, \"y\": \"${b}\"},\n            }\n        )\n    ],\n)\ndef test_class_instantiate_omegaconf_node(instantiate_func: Any, config: Any) -> Any:\n    obj = instantiate_func(config, a=10, d=AnotherClass(99))\n    assert obj == AClass(a=10, b=200, c={\"x\": 10, \"y\": 200}, d=AnotherClass(99))\n    assert OmegaConf.is_config(obj.c)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_adam_test_instantiate_adam.assert_res_Adam_params": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_adam_test_instantiate_adam.assert_res_Adam_params", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 502, "end_line": 513, "span_ids": ["test_instantiate_adam"], "tokens": 121}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"src\", [{\"_target_\": \"tests.instantiate.Adam\"}])\ndef test_instantiate_adam(instantiate_func: Any, config: Any) -> None:\n    with raises(\n        InstantiationException,\n        match=r\"Error in call to target 'tests\\.instantiate\\.Adam':\\nTypeError\\(.*\\)\",\n    ):\n        # can't instantiate without passing params\n        instantiate_func(config)\n\n    adam_params = Parameters([1, 2, 3])\n    res = instantiate_func(config, params=adam_params)\n    assert res == Adam(params=adam_params)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_with_missing_module_test_instantiate_target_raising_exception_taking_no_arguments.with_raises_.instantiate_func__tar": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_with_missing_module_test_instantiate_target_raising_exception_taking_no_arguments.with_raises_.instantiate_func__tar", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 609, "end_line": 638, "span_ids": ["test_instantiate_with_missing_module", "test_instantiate_target_raising_exception_taking_no_arguments"], "tokens": 208}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_instantiate_with_missing_module(instantiate_func: Any) -> None:\n\n    _target_ = \"tests.instantiate.ClassWithMissingModule\"\n    with raises(\n        InstantiationException,\n        match=dedent(\n            rf\"\"\"\n            Error in call to target '{re.escape(_target_)}':\n            ModuleNotFoundError\\(\"No module named 'some_missing_module'\",?\\)\"\"\"\n        ).strip(),\n    ):\n        # can't instantiate when importing a missing module\n        instantiate_func({\"_target_\": _target_})\n\n\ndef test_instantiate_target_raising_exception_taking_no_arguments(\n    instantiate_func: Any,\n) -> None:\n    _target_ = \"tests.instantiate.raise_exception_taking_no_argument\"\n    with raises(\n        InstantiationException,\n        match=(\n            dedent(\n                rf\"\"\"\n                Error in call to target '{re.escape(_target_)}':\n                ExceptionTakingNoArgument\\('Err message',?\\)\"\"\"\n            ).strip()\n        ),\n    ):\n        instantiate_func({}, _target_=_target_)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_target_raising_exception_taking_no_arguments_nested_test_toplevel_list_partial_not_allowed.with_raises_.instantiate_func_config_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_target_raising_exception_taking_no_arguments_nested_test_toplevel_list_partial_not_allowed.with_raises_.instantiate_func_config_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 641, "end_line": 668, "span_ids": ["test_toplevel_list_partial_not_allowed", "test_instantiate_target_raising_exception_taking_no_arguments_nested"], "tokens": 209}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_instantiate_target_raising_exception_taking_no_arguments_nested(\n    instantiate_func: Any,\n) -> None:\n    _target_ = \"tests.instantiate.raise_exception_taking_no_argument\"\n    with raises(\n        InstantiationException,\n        match=(\n            dedent(\n                rf\"\"\"\n                Error in call to target '{re.escape(_target_)}':\n                ExceptionTakingNoArgument\\('Err message',?\\)\n                full_key: foo\n                \"\"\"\n            ).strip()\n        ),\n    ):\n        instantiate_func({\"foo\": {\"_target_\": _target_}})\n\n\ndef test_toplevel_list_partial_not_allowed(instantiate_func: Any) -> None:\n    config = [{\"_target_\": \"tests.instantiate.ClassA\", \"a\": 10, \"b\": 20, \"c\": 30}]\n    with raises(\n        InstantiationException,\n        match=re.escape(\n            \"The _partial_ keyword is not compatible with top-level list instantiation\"\n        ),\n    ):\n        instantiate_func(config, _partial_=True)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_with_callable_target_keyword_test_instantiate_with_callable_target_keyword.assert_expected_ret_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_with_callable_target_keyword_test_instantiate_with_callable_target_keyword.assert_expected_ret_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 689, "end_line": 713, "span_ids": ["test_instantiate_with_callable_target_keyword"], "tokens": 189}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"target, expected\",\n    [\n        param(module_function2, lambda x: x == \"fn return\", id=\"fn\"),\n        param(OuterClass, lambda x: isinstance(x, OuterClass), id=\"OuterClass\"),\n        param(\n            OuterClass.method,\n            lambda x: x == \"OuterClass.method return\",\n            id=\"classmethod\",\n        ),\n        param(\n            OuterClass.Nested, lambda x: isinstance(x, OuterClass.Nested), id=\"nested\"\n        ),\n        param(\n            OuterClass.Nested.method,\n            lambda x: x == \"OuterClass.Nested.method return\",\n            id=\"nested_method\",\n        ),\n    ],\n)\ndef test_instantiate_with_callable_target_keyword(\n    instantiate_func: Any, target: Callable[[], None], expected: Callable[[Any], bool]\n) -> None:\n    ret = instantiate_func({}, _target_=target)\n    assert expected(ret)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_from_dataclass_in_dict_fails_test_instantiate_from_dataclass_in_dict_fails.with_raises_.instantiate_func_config_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_from_dataclass_in_dict_fails_test_instantiate_from_dataclass_in_dict_fails.with_raises_.instantiate_func_config_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 1356, "end_line": 1387, "span_ids": ["test_instantiate_from_dataclass_in_dict_fails"], "tokens": 263}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config, passthrough, err_msg\",\n    [\n        param(\n            OmegaConf.create({\"_target_\": AClass}),\n            {},\n            re.escape(\n                \"Expected a callable target, got\"\n                + \" '{'a': '???', 'b': '???', 'c': '???', 'd': 'default_value'}' of type 'DictConfig'\"\n            ),\n            id=\"instantiate-from-dataclass-in-dict-fails\",\n        ),\n        param(\n            OmegaConf.create({\"foo\": {\"_target_\": AClass}}),\n            {},\n            re.escape(\n                \"Expected a callable target, got\"\n                + \" '{'a': '???', 'b': '???', 'c': '???', 'd': 'default_value'}' of type 'DictConfig'\"\n                + \"\\nfull_key: foo\"\n            ),\n            id=\"instantiate-from-dataclass-in-dict-fails-nested\",\n        ),\n    ],\n)\ndef test_instantiate_from_dataclass_in_dict_fails(\n    instantiate_func: Any, config: Any, passthrough: Any, err_msg: str\n) -> None:\n    with raises(\n        InstantiationException,\n        match=err_msg,\n    ):\n        instantiate_func(config, **passthrough)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_cannot_locate_target_test_cannot_locate_target.assert_multiline_regex_se": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_cannot_locate_target_test_cannot_locate_target.assert_multiline_regex_se", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 1390, "end_line": 1415, "span_ids": ["test_cannot_locate_target"], "tokens": 181}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_cannot_locate_target(instantiate_func: Any) -> None:\n    cfg = OmegaConf.create({\"foo\": {\"_target_\": \"not_found\"}})\n    with raises(\n        InstantiationException,\n        match=re.escape(\n            dedent(\n                \"\"\"\\\n                Error locating target 'not_found', see chained exception above.\n                full_key: foo\"\"\"\n            )\n        ),\n    ) as exc_info:\n        instantiate_func(cfg)\n    err = exc_info.value\n    assert hasattr(err, \"__cause__\")\n    chained = err.__cause__\n    assert isinstance(chained, ImportError)\n    assert_multiline_regex_search(\n        dedent(\n            \"\"\"\\\n            Error loading 'not_found':\n            ModuleNotFoundError\\\\(\"No module named 'not_found'\",?\\\\)\n            Are you sure that module 'not_found' is installed\\\\?\"\"\"\n        ),\n        chained.args[0],\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_positional.py_from_textwrap_import_dede_test_instantiate_args_kwargs.assert_instantiate_cfg_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_positional.py_from_textwrap_import_dede_test_instantiate_args_kwargs.assert_instantiate_cfg_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_positional.py", "file_name": "test_positional.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 49, "span_ids": ["test_instantiate_args_kwargs", "docstring"], "tokens": 261}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from textwrap import dedent\nfrom typing import Any\n\nfrom pytest import mark, param, raises\n\nfrom hydra.errors import InstantiationException\nfrom hydra.utils import instantiate\nfrom tests.instantiate import ArgsClass\n\n#######################\n# non-recursive tests #\n#######################\n\n\n@mark.parametrize(\n    (\"cfg\", \"expected\"),\n    [\n        param(\n            {\"_target_\": \"tests.instantiate.ArgsClass\"},\n            ArgsClass(),\n            id=\"config:no_params\",\n        ),\n        param(\n            {\"_target_\": \"tests.instantiate.ArgsClass\", \"_args_\": [1]},\n            ArgsClass(1),\n            id=\"config:args_only\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.ArgsClass\",\n                \"_args_\": [1],\n                \"foo\": 10,\n            },\n            ArgsClass(1, foo=10),\n            id=\"config:args+kwargs\",\n        ),\n        param(\n            {\n                \"_target_\": \"tests.instantiate.ArgsClass\",\n                \"foo\": 10,\n            },\n            ArgsClass(foo=10),\n            id=\"config:kwargs_only\",\n        ),\n    ],\n)\ndef test_instantiate_args_kwargs(cfg: Any, expected: Any) -> None:\n    assert instantiate(cfg) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_positional.py_test_instantiate_unsupported_args_type_test_instantiate_unsupported_args_type.with_raises_.instantiate_cfg_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_positional.py_test_instantiate_unsupported_args_type_test_instantiate_unsupported_args_type.with_raises_.instantiate_cfg_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_positional.py", "file_name": "test_positional.py", "file_type": "text/x-python", "category": "test", "start_line": 52, "end_line": 86, "span_ids": ["test_instantiate_unsupported_args_type"], "tokens": 254}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"cfg, msg\",\n    [\n        param(\n            {\"_target_\": \"tests.instantiate.ArgsClass\", \"_args_\": {\"foo\": \"bar\"}},\n            dedent(\n                \"\"\"\\\n                Error in collecting args and kwargs for 'tests\\\\.instantiate\\\\.ArgsClass':\n                InstantiationException\\\\(\"Unsupported _args_ type: 'DictConfig'\\\\. value: '{'foo': 'bar'}'\",?\\\\)\"\"\"\n            ),\n            id=\"unsupported-args-type\",\n        ),\n        param(\n            {\n                \"foo\": {\n                    \"_target_\": \"tests.instantiate.ArgsClass\",\n                    \"_args_\": {\"foo\": \"bar\"},\n                }\n            },\n            dedent(\n                \"\"\"\\\n                Error in collecting args and kwargs for 'tests\\\\.instantiate\\\\.ArgsClass':\n                InstantiationException\\\\(\"Unsupported _args_ type: 'DictConfig'\\\\. value: '{'foo': 'bar'}'\",?\\\\)\n                full_key: foo\"\"\"\n            ),\n            id=\"unsupported-args-type-nested\",\n        ),\n    ],\n)\ndef test_instantiate_unsupported_args_type(cfg: Any, msg: str) -> None:\n    with raises(\n        InstantiationException,\n        match=msg,\n    ):\n        instantiate(cfg)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_print_hydra_mode/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_print_hydra_mode/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_print_hydra_mode/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_print_hydra_mode/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_print_hydra_mode/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_print_hydra_mode/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 15, "span_ids": ["my_app", "impl", "docstring"], "tokens": 89}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\nfrom hydra.core.hydra_config import HydraConfig\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(_: DictConfig) -> None:\n    print(HydraConfig.get().mode)\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_cfg_groups/my_app_with_runtime_choices_print.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_cfg_groups/my_app_with_runtime_choices_print.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_cfg_groups/my_app_with_runtime_choices_print.py", "file_name": "my_app_with_runtime_choices_print.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 18, "span_ids": ["my_app", "impl", "docstring"], "tokens": 86}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom typing import Any\n\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(\n    version_base=None, config_path=\"conf\", config_name=\"config_with_runtime_option\"\n)\ndef my_app(cfg: DictConfig) -> Any:\n    print(cfg.optimizer_option)\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_log_jobreturn_callback/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_log_jobreturn_callback/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_log_jobreturn_callback/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_log_jobreturn_callback/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_log_jobreturn_callback/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_log_jobreturn_callback/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 15, "span_ids": ["my_app", "impl", "docstring"], "tokens": 87}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    val = 1 / cfg.divisor\n    print(f\"val={val}\")\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_pickle_job_info_callback/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_pickle_job_info_callback/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_pickle_job_info_callback/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_pickle_job_info_callback/my_app.py_logging_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/app_with_pickle_job_info_callback/my_app.py_logging_", "embedding": null, "metadata": {"file_path": "tests/test_apps/app_with_pickle_job_info_callback/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 3, "end_line": 33, "span_ids": ["my_app", "impl:3", "docstring"], "tokens": 188}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\nimport pickle\nfrom pathlib import Path\nfrom typing import Any\n\nfrom omegaconf import DictConfig\n\nimport hydra\nfrom hydra.core.hydra_config import HydraConfig\n\nlog = logging.getLogger(__name__)\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> str:\n    def pickle_cfg(path: Path, obj: Any) -> Any:\n        with open(str(path), \"wb\") as file:\n            pickle.dump(obj, file)\n\n    hydra_cfg = HydraConfig.get()\n    output_dir = Path(hydra_cfg.runtime.output_dir)\n    pickle_cfg(Path(output_dir) / \"task_cfg.pickle\", cfg)\n    pickle_cfg(Path(output_dir) / \"hydra_cfg.pickle\", hydra_cfg)\n    log.info(\"Running my_app\")\n\n    return \"hello world\"\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/hydra_resolver_in_output_dir/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/hydra_resolver_in_output_dir/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/hydra_resolver_in_output_dir/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 15, "span_ids": ["my_app", "impl", "docstring"], "tokens": 83}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\nfrom hydra.core.hydra_config import HydraConfig\n\n\n@hydra.main(version_base=None)\ndef my_app(_: DictConfig) -> None:\n    print(HydraConfig.instance().get().runtime.output_dir)\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/hydra_verbose/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/hydra_verbose/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/hydra_verbose/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/hydra_verbose/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/hydra_verbose/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/hydra_verbose/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 70}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(_: DictConfig) -> None:\n    pass\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/passes_callable_class_to_hydra_main/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/passes_callable_class_to_hydra_main/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/passes_callable_class_to_hydra_main/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/passes_callable_class_to_hydra_main/my_app.py_from_omegaconf_import_Dic_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/passes_callable_class_to_hydra_main/my_app.py_from_omegaconf_import_Dic_", "embedding": null, "metadata": {"file_path": "tests/test_apps/passes_callable_class_to_hydra_main/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 22, "span_ids": ["MyCallable", "impl", "MyCallable.__call__", "MyCallable.__init__", "docstring"], "tokens": 113}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from omegaconf import DictConfig\n\nimport hydra\nfrom hydra.core.hydra_config import HydraConfig\n\n\nclass MyCallable:\n    def __init__(self, state: int = 123) -> None:\n        self._state = state\n\n    def __call__(self, cfg: DictConfig) -> None:\n        print(self._state)\n        print(HydraConfig.get().job.name)\n\n\nmy_callable = MyCallable()\nmy_app = hydra.main(version_base=None)(my_callable)\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_as_module_1/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_as_module_1/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/run_as_module_1/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 80}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_as_module_2/conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_as_module_2/conf/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/run_as_module_2/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_as_module_2/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_as_module_2/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/run_as_module_2/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 81}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_as_module_3/module/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_as_module_3/module/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/run_as_module_3/module/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_as_module_3/module/conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_as_module_3/module/conf/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/run_as_module_3/module/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_as_module_3/module/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_as_module_3/module/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/run_as_module_3/module/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 76}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_as_module_4/module/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_as_module_4/module/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/run_as_module_4/module/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_as_module_4/module/conf/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_as_module_4/module/conf/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/run_as_module_4/module/conf/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_as_module_4/module/my_app.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/run_as_module_4/module/my_app.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/run_as_module_4/module/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 14, "span_ids": ["my_app", "impl", "docstring"], "tokens": 81}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\nfrom omegaconf import DictConfig, OmegaConf\n\nimport hydra\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef my_app(cfg: DictConfig) -> None:\n    print(OmegaConf.to_yaml(cfg))\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/schema_overrides_hydra/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/schema_overrides_hydra/__init__.py__", "embedding": null, "metadata": {"file_path": "tests/test_apps/schema_overrides_hydra/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/schema_overrides_hydra/my_app.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_apps/schema_overrides_hydra/my_app.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "tests/test_apps/schema_overrides_hydra/my_app.py", "file_name": "my_app.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 32, "span_ids": ["impl", "my_app", "Config", "impl:2", "docstring"], "tokens": 173}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\nfrom typing import Dict\n\nfrom omegaconf import MISSING\n\nimport hydra\nfrom hydra.core.config_store import ConfigStore\nfrom hydra.core.hydra_config import HydraConfig\n\n\n@dataclass\nclass Config:\n    age: int = MISSING\n    name: str = MISSING\n    group: Dict[str, str] = MISSING\n\n\nConfigStore.instance().store(name=\"config_schema\", node=Config)\n\n\n@hydra.main(version_base=None, config_path=\".\", config_name=\"config\")\ndef my_app(cfg: Config) -> None:\n    print(\n        f\"job_name: {HydraConfig().get().job.name}, \"\n        f\"name: {cfg.name}, age: {cfg.age}, group: {cfg.group['name']}\"\n    )\n\n\nif __name__ == \"__main__\":\n    my_app()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_callbacks.py_copy_test_app_with_callbacks.assert_regex_match_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_callbacks.py_copy_test_app_with_callbacks.assert_regex_match_", "embedding": null, "metadata": {"file_path": "tests/test_callbacks.py", "file_name": "test_callbacks.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 103, "span_ids": ["test_app_with_callbacks", "docstring"], "tokens": 617}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import copy\nimport os\nimport pickle\nimport sys\nfrom pathlib import Path\nfrom textwrap import dedent\nfrom typing import Any, List\n\nfrom omegaconf import open_dict, read_write\nfrom pytest import mark\n\nfrom hydra.core.utils import JobReturn, JobStatus\nfrom hydra.test_utils.test_utils import (\n    assert_regex_match,\n    chdir_hydra_root,\n    run_process,\n    run_python_script,\n)\n\nchdir_hydra_root()\n\n\n@mark.parametrize(\n    \"args,expected\",\n    [\n        (\n            [],\n            dedent(\n                \"\"\"\\\n                [HYDRA] Init custom_callback\n                [HYDRA] custom_callback on_run_start\n                [JOB] custom_callback on_job_start\n                [JOB] foo: bar\n\n                [JOB] custom_callback on_job_end\n                [JOB] custom_callback on_run_end\"\"\"\n            ),\n        ),\n        (\n            [\n                \"foo=bar\",\n                \"-m\",\n            ],\n            dedent(\n                \"\"\"\\\n                [HYDRA] Init custom_callback\n                [HYDRA] custom_callback on_multirun_start\n                [HYDRA] Launching 1 jobs locally\n                [HYDRA] \\t#0 : foo=bar\n                [JOB] custom_callback on_job_start\n                [JOB] foo: bar\n\n                [JOB] custom_callback on_job_end\n                [HYDRA] custom_callback on_multirun_end\"\"\"\n            ),\n        ),\n        (\n            [\n                \"--config-name\",\n                \"config_with_two_callbacks\",\n            ],\n            dedent(\n                \"\"\"\\\n                [HYDRA] Init callback_1\n                [HYDRA] Init callback_2\n                [HYDRA] callback_1 on_run_start\n                [HYDRA] callback_2 on_run_start\n                [JOB] callback_1 on_job_start\n                [JOB] callback_2 on_job_start\n                [JOB] {}\n\n                [JOB] callback_2 on_job_end\n                [JOB] callback_1 on_job_end\n                [JOB] callback_2 on_run_end\n                [JOB] callback_1 on_run_end\"\"\"\n            ),\n        ),\n    ],\n)\ndef test_app_with_callbacks(\n    tmpdir: Path,\n    args: List[str],\n    expected: str,\n) -> None:\n    app_path = \"tests/test_apps/app_with_callbacks/custom_callback/my_app.py\"\n\n    cmd = [\n        app_path,\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"hydra.hydra_logging.formatters.simple.format='[HYDRA] %(message)s'\",\n        \"hydra.job_logging.formatters.simple.format='[JOB] %(message)s'\",\n    ]\n    cmd.extend(args)\n    result, _err = run_python_script(cmd)\n\n    assert_regex_match(\n        from_line=expected,\n        to_line=result,\n        from_name=\"Expected output\",\n        to_name=\"Actual output\",\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_callbacks.py_test_experimental_save_job_info_callback_test_experimental_save_job_info_callback.None_6": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_callbacks.py_test_experimental_save_job_info_callback_test_experimental_save_job_info_callback.None_6", "embedding": null, "metadata": {"file_path": "tests/test_callbacks.py", "file_name": "test_callbacks.py", "file_type": "text/x-python", "category": "test", "start_line": 106, "end_line": 150, "span_ids": ["test_experimental_save_job_info_callback"], "tokens": 457}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"multirun\", [True, False])\ndef test_experimental_save_job_info_callback(tmpdir: Path, multirun: bool) -> None:\n    app_path = \"tests/test_apps/app_with_pickle_job_info_callback/my_app.py\"\n\n    cmd = [\n        app_path,\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.sweep.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    if multirun:\n        cmd.append(\"-m\")\n    _, _err = run_python_script(cmd)\n\n    def load_pickle(path: Path) -> Any:\n        with open(str(path), \"rb\") as input:\n            obj = pickle.load(input)  # nosec\n        return obj\n\n    # load pickles from callbacks\n    callback_output = tmpdir / Path(\"0\") / \".hydra\" if multirun else tmpdir / \".hydra\"\n    config_on_job_start = load_pickle(callback_output / \"config.pickle\")\n    job_return_on_job_end: JobReturn = load_pickle(\n        callback_output / \"job_return.pickle\"\n    )\n\n    task_cfg_from_callback = copy.deepcopy(config_on_job_start)\n    with read_write(task_cfg_from_callback):\n        with open_dict(task_cfg_from_callback):\n            del task_cfg_from_callback[\"hydra\"]\n\n    # load pickles generated from the application\n    app_output_dir = tmpdir / \"0\" if multirun else tmpdir\n    task_cfg_from_app = load_pickle(app_output_dir / \"task_cfg.pickle\")\n    hydra_cfg_from_app = load_pickle(app_output_dir / \"hydra_cfg.pickle\")\n\n    # verify the cfg pickles are the same on_job_start\n    assert task_cfg_from_callback == task_cfg_from_app\n    assert config_on_job_start.hydra == hydra_cfg_from_app\n\n    # verify pickled object are the same on_job_end\n    assert job_return_on_job_end.cfg == task_cfg_from_app\n    assert job_return_on_job_end.hydra_cfg.hydra == hydra_cfg_from_app  # type: ignore\n    assert job_return_on_job_end.return_value == \"hello world\"\n    assert job_return_on_job_end.status == JobStatus.COMPLETED", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_callbacks.py_test_save_job_return_callback_test_save_job_return_callback.for_p_in_log_paths_.with_open_p_r_as_file.assert_log_msg_in_logs": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_callbacks.py_test_save_job_return_callback_test_save_job_return_callback.for_p_in_log_paths_.with_open_p_r_as_file.assert_log_msg_in_logs", "embedding": null, "metadata": {"file_path": "tests/test_callbacks.py", "file_name": "test_callbacks.py", "file_type": "text/x-python", "category": "test", "start_line": 153, "end_line": 177, "span_ids": ["test_save_job_return_callback"], "tokens": 243}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"multirun\", [True, False])\ndef test_save_job_return_callback(tmpdir: Path, multirun: bool) -> None:\n    app_path = \"tests/test_apps/app_with_log_jobreturn_callback/my_app.py\"\n    cmd = [\n        sys.executable,\n        app_path,\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.sweep.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n    if multirun:\n        extra = [\"+x=0,1\", \"-m\"]\n        cmd.extend(extra)\n    log_msg = \"omegaconf.errors.ConfigAttributeError: Key 'divisor' is not in struct\\n\"\n    run_process(cmd=cmd, print_error=False, raise_exception=False)\n\n    if multirun:\n        log_paths = [tmpdir / \"0\" / \"my_app.log\", tmpdir / \"1\" / \"my_app.log\"]\n    else:\n        log_paths = [tmpdir / \"my_app.log\"]\n\n    for p in log_paths:\n        with open(p, \"r\") as file:\n            logs = file.readlines()\n            assert log_msg in logs", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_callbacks.py_test_experimental_rerun_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_callbacks.py_test_experimental_rerun_", "embedding": null, "metadata": {"file_path": "tests/test_callbacks.py", "file_name": "test_callbacks.py", "file_type": "text/x-python", "category": "test", "start_line": 180, "end_line": 227, "span_ids": ["test_experimental_rerun"], "tokens": 359}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"warning_msg,overrides\",\n    [\n        (\"Experimental rerun CLI option\", []),\n        (\"Config overrides are not supported as of now\", [\"+x=1\"]),\n    ],\n)\ndef test_experimental_rerun(\n    tmpdir: Path, warning_msg: str, overrides: List[str]\n) -> None:\n    app_path = \"tests/test_apps/app_with_pickle_job_info_callback/my_app.py\"\n\n    cmd = [\n        app_path,\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.sweep.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=False\",\n        \"hydra.hydra_logging.formatters.simple.format='[HYDRA] %(message)s'\",\n        \"hydra.job_logging.formatters.simple.format='[JOB] %(message)s'\",\n    ]\n    run_python_script(cmd)\n\n    config_file = tmpdir / \".hydra\" / \"config.pickle\"\n    log_file = tmpdir / \"my_app.log\"\n    assert config_file.exists()\n    assert log_file.exists()\n\n    with open(log_file, \"r\") as file:\n        logs = file.read().splitlines()\n        assert \"[JOB] Running my_app\" in logs\n\n    os.remove(str(log_file))\n    assert not log_file.exists()\n\n    # then rerun the application and verify log file is created again\n    cmd = [\n        app_path,\n        \"--experimental-rerun\",\n        str(config_file),\n    ]\n    cmd.extend(overrides)\n    result, err = run_python_script(cmd, allow_warnings=True)\n    assert warning_msg in err\n\n    with open(log_file, \"r\") as file:\n        logs = file.read().splitlines()\n        assert \"[JOB] Running my_app\" in logs", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_re_test_initialize_compat_version_base.assert_version_base_at_le": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_re_test_initialize_compat_version_base.assert_version_base_at_le", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 96, "span_ids": ["test_initialize", "test_initialize_old_version_base", "test_initialize_compat_version_base", "test_initialize_bad_version_base", "test_initialize_cur_version_base", "test_initialize_dev_version_base", "docstring", "initialize_hydra_no_path", "initialize_hydra"], "tokens": 637}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import re\nimport subprocess\nimport sys\nfrom dataclasses import dataclass, field\nfrom enum import Enum\nfrom pathlib import Path\nfrom textwrap import dedent\nfrom typing import Any, Dict, List, Optional\n\nfrom omegaconf import MISSING, OmegaConf\nfrom pytest import fixture, mark, param, raises, warns\n\nfrom hydra import (\n    __version__,\n    compose,\n    initialize,\n    initialize_config_dir,\n    initialize_config_module,\n    version,\n)\nfrom hydra._internal.config_search_path_impl import ConfigSearchPathImpl\nfrom hydra.core.config_search_path import SearchPathQuery\nfrom hydra.core.config_store import ConfigStore\nfrom hydra.core.global_hydra import GlobalHydra\nfrom hydra.errors import ConfigCompositionException, HydraException\nfrom hydra.test_utils.test_utils import chdir_hydra_root\n\nchdir_hydra_root()\n\n\n@fixture\ndef initialize_hydra(config_path: Optional[str]) -> Any:\n    try:\n        init = initialize(version_base=None, config_path=config_path)\n        init.__enter__()\n        yield\n    finally:\n        init.__exit__(*sys.exc_info())\n\n\n@fixture\ndef initialize_hydra_no_path() -> Any:\n    try:\n        init = initialize(version_base=None)\n        init.__enter__()\n        yield\n    finally:\n        init.__exit__(*sys.exc_info())\n\n\ndef test_initialize(hydra_restore_singletons: Any) -> None:\n    assert not GlobalHydra().is_initialized()\n    initialize(version_base=None)\n    assert GlobalHydra().is_initialized()\n\n\ndef test_initialize_old_version_base(hydra_restore_singletons: Any) -> None:\n    assert not GlobalHydra().is_initialized()\n    with raises(\n        HydraException,\n        match=f'version_base must be >= \"{version.__compat_version__}\"',\n    ):\n        initialize(version_base=\"1.0\")\n\n\ndef test_initialize_bad_version_base(hydra_restore_singletons: Any) -> None:\n    assert not GlobalHydra().is_initialized()\n    with raises(\n        TypeError,\n        match=\"expected string or bytes-like object\",\n    ):\n        initialize(version_base=1.1)  # type: ignore\n\n\ndef test_initialize_dev_version_base(hydra_restore_singletons: Any) -> None:\n    assert not GlobalHydra().is_initialized()\n    # packaging will compare \"1.2.0.dev2\" < \"1.2\", so need to ensure handled correctly\n    initialize(version_base=\"1.2.0.dev2\")\n    assert version.base_at_least(\"1.2\")\n\n\ndef test_initialize_cur_version_base(hydra_restore_singletons: Any) -> None:\n    assert not GlobalHydra().is_initialized()\n    initialize(version_base=None)\n    assert version.base_at_least(__version__)\n\n\ndef test_initialize_compat_version_base(hydra_restore_singletons: Any) -> None:\n    assert not GlobalHydra().is_initialized()\n    with raises(\n        UserWarning,\n        match=f\"Will assume defaults for version {version.__compat_version__}\",\n    ):\n        initialize()\n    assert version.base_at_least(str(version.__compat_version__))", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_experimental.py_from_pathlib_import_Path_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_examples/test_experimental.py_from_pathlib_import_Path_", "embedding": null, "metadata": {"file_path": "tests/test_examples/test_experimental.py", "file_name": "test_experimental.py", "file_type": "text/x-python", "category": "test", "start_line": 3, "end_line": 19, "span_ids": ["test_rerun", "docstring"], "tokens": 130}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from pathlib import Path\n\nfrom hydra.test_utils.test_utils import run_python_script\n\n\ndef test_rerun(tmpdir: Path) -> None:\n    cmd = [\n        \"examples/experimental/rerun/my_app.py\",\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"hydra.hydra_logging.formatters.simple.format='[HYDRA] %(message)s'\",\n        \"hydra.job_logging.formatters.simple.format='[JOB] %(message)s'\",\n    ]\n\n    result, _err = run_python_script(cmd)\n    assert \"[JOB] cfg.foo=bar\" in result", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_pass_callable_class_to_hydra_main_test_pass_callable_class_to_hydra_main.assert_text_same_result_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_pass_callable_class_to_hydra_main_test_pass_callable_class_to_hydra_main.assert_text_same_result_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 527, "end_line": 552, "span_ids": ["test_pass_callable_class_to_hydra_main"], "tokens": 146}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"script,expected\",\n    [\n        param(\n            \"tests/test_apps/passes_callable_class_to_hydra_main/my_app.py\",\n            dedent(\n                \"\"\"\\\n                123\n                my_app\n                \"\"\"\n            ),\n            id=\"passes_callable_class_to_hydra_main\",\n        ),\n    ],\n)\ndef test_pass_callable_class_to_hydra_main(\n    tmpdir: Path, script: str, expected: str\n) -> None:\n    cmd = [\n        script,\n        \"hydra.run.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n    ]\n\n    result, _err = run_python_script(cmd)\n    assert_text_same(result, expected)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_disable_chdir_with_app_chdir_test_disable_chdir_with_app_chdir.assert_f_current_dir__p": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_disable_chdir_with_app_chdir_test_disable_chdir_with_app_chdir.assert_f_current_dir__p", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1599, "end_line": 1611, "span_ids": ["test_disable_chdir_with_app_chdir"], "tokens": 121}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"chdir\",\n    [True, False],\n)\ndef test_disable_chdir_with_app_chdir(tmpdir: Path, chdir: bool) -> None:\n    cmd = [\n        \"tests/test_apps/app_change_dir/my_app.py\",\n        f\"hydra.run.dir={tmpdir}\",\n        f\"hydra.job.chdir={chdir}\",\n    ]\n    result, _err = run_python_script(cmd)\n    _path = os.getcwd() if chdir else Path(tmpdir) / \"subdir\"\n    assert f\"current dir: {_path}\" in result", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_verbose_1897_test_hydra_verbose_1897.run_python_script_cmd_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_verbose_1897_test_hydra_verbose_1897.run_python_script_cmd_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1614, "end_line": 1626, "span_ids": ["test_hydra_verbose_1897"], "tokens": 104}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"multirun\",\n    [False, True],\n)\ndef test_hydra_verbose_1897(tmpdir: Path, multirun: bool) -> None:\n    cmd = [\n        \"tests/test_apps/hydra_verbose/my_app.py\",\n        f\"hydra.run.dir={tmpdir}\",\n        \"hydra.job.chdir=False\",\n    ]\n    if multirun:\n        cmd += [\"+a=1,2\", \"-m\"]\n    run_python_script(cmd)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_resolver_in_output_dir_test_hydra_resolver_in_output_dir.assert_expected_output_di": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_resolver_in_output_dir_test_hydra_resolver_in_output_dir.assert_expected_output_di", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1629, "end_line": 1657, "span_ids": ["test_hydra_resolver_in_output_dir"], "tokens": 226}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"multirun\",\n    [False, True],\n)\ndef test_hydra_resolver_in_output_dir(tmpdir: Path, multirun: bool) -> None:\n    from hydra import __version__\n\n    subdir = \"dir\" + \"${hydra:runtime.version}\"\n\n    output_dir = str(Path(tmpdir) / subdir)\n\n    cmd = [\n        \"tests/test_apps/hydra_resolver_in_output_dir/my_app.py\",\n        f\"hydra.run.dir='{output_dir}'\",\n        f\"hydra.sweep.subdir='{subdir}'\",\n        f\"hydra.sweep.dir={str(Path(tmpdir))}\",\n        \"hydra.job.chdir=False\",\n    ]\n\n    if multirun:\n        cmd += [\"-m\"]\n\n    out, _ = run_python_script(cmd)\n\n    expected_subdir = f\"dir{__version__}\"\n    expected_output_dir = str(Path(tmpdir) / expected_subdir)\n    expected_log_file = Path(expected_output_dir) / \"my_app.log\"\n    assert expected_log_file.exists()\n    assert expected_output_dir in out", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_mode_test_hydra_mode.cmd_extend_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_mode_test_hydra_mode.cmd_extend_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1660, "end_line": 1800, "span_ids": ["test_hydra_mode"], "tokens": 944}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"overrides,expected_output,error,warning,warning_msg\",\n    [\n        param(\n            [\"hydra.mode=RUN\"],\n            \"RunMode.RUN\",\n            False,\n            False,\n            None,\n            id=\"single_run_config\",\n        ),\n        param(\n            [\"x=1\", \"hydra.mode=MULTIRUN\"],\n            dedent(\n                \"\"\"\\\n                [HYDRA] Launching 1 jobs locally\n                [HYDRA] \\t#0 : x=1\n                RunMode.MULTIRUN\"\"\"\n            ),\n            False,\n            False,\n            None,\n            id=\"multi_run_config\",\n        ),\n        param(\n            [\"--multirun\", \"x=1\"],\n            dedent(\n                \"\"\"\\\n                [HYDRA] Launching 1 jobs locally\n                [HYDRA] \\t#0 : x=1\n                RunMode.MULTIRUN\"\"\"\n            ),\n            False,\n            False,\n            None,\n            id=\"multi_run_commandline\",\n        ),\n        param(\n            [],\n            dedent(\n                \"\"\"\\\n                RunMode.RUN\"\"\"\n            ),\n            False,\n            False,\n            None,\n            id=\"run_with_no_config\",\n        ),\n        param(\n            [\"x=1,2\", \"hydra.mode=RUN\"],\n            dedent(\n                \"\"\"\\\n                Ambiguous value for argument 'x=1,2'\n                1. To use it as a list, use key=[value1,value2]\n                2. To use it as string, quote the value: key=\\\\'value1,value2\\\\'\n                3. To sweep over it, add --multirun to your command line\n\n                Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.\n                \"\"\"\n            ),\n            True,\n            False,\n            None,\n            id=\"illegal_sweep_run\",\n        ),\n        param(\n            [\"x=1,2\", \"hydra.mode=MULTIRUN\"],\n            dedent(\n                \"\"\"\\\n                [HYDRA] Launching 2 jobs locally\n                [HYDRA] \\t#0 : x=1\n                RunMode.MULTIRUN\n                [HYDRA] \\t#1 : x=2\n                RunMode.MULTIRUN\"\"\"\n            ),\n            False,\n            False,\n            None,\n            id=\"sweep_from_config\",\n        ),\n        param(\n            [\"x=1,2\", \"hydra.mode=MULTIRUN\", \"hydra/sweeper=test\"],\n            dedent(\n                \"\"\"\\\n                [HYDRA] Launching 1 jobs locally\n                [HYDRA] \\t#0 : x=1\n                RunMode.MULTIRUN\n                [HYDRA] Launching 1 jobs locally\n                [HYDRA] \\t#1 : x=2\n                RunMode.MULTIRUN\n                \"\"\"\n            ),\n            False,\n            False,\n            None,\n            id=\"sweep_from_config_with_custom_sweeper\",\n        ),\n        param(\n            [\"--multirun\", \"x=1,2\", \"hydra.mode=RUN\"],\n            dedent(\n                \"\"\"\n                [HYDRA] Launching 2 jobs locally\n                [HYDRA] \\t#0 : x=1\n                RunMode.MULTIRUN\n                [HYDRA] \\t#1 : x=2\n                RunMode.MULTIRUN\"\"\"\n            ),\n            False,\n            True,\n            dedent(\n                \"\"\"\n                .*: UserWarning:\n                \\tRunning Hydra app with --multirun, overriding with `hydra.mode=MULTIRUN`.\n                .*\n                \"\"\"\n            ),\n            id=\"multirun_commandline_with_run_config_with_warning\",\n        ),\n    ],\n)\ndef test_hydra_mode(\n    tmpdir: Path,\n    overrides: List[str],\n    expected_output: str,\n    error: bool,\n    warning: bool,\n    warning_msg: Optional[str],\n) -> None:\n    cmd = [\n        \"tests/test_apps/app_print_hydra_mode/my_app.py\",\n    ]\n    cmd.extend(overrides)\n    cmd.extend(\n        [\n            f\"hydra.run.dir='{tmpdir}'\",\n            f\"hydra.sweep.dir={tmpdir}\",\n            \"hydra.job.chdir=False\",\n            \"hydra.hydra_logging.formatters.simple.format='[HYDRA] %(message)s'\",\n            \"hydra.job_logging.formatters.simple.format='[JOB] %(message)s'\",\n        ]\n    )\n    # ... other code", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_mode.if_error__test_hydra_mode.if_error_.else_.assert_regex_match_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_mode.if_error__test_hydra_mode.if_error_.else_.assert_regex_match_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1801, "end_line": 1834, "span_ids": ["test_hydra_mode"], "tokens": 1030}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"overrides,expected_output,error,warning,warning_msg\",\n    [\n        param(\n            [\"hydra.mode=RUN\"],\n            \"RunMode.RUN\",\n            False,\n            False,\n            None,\n            id=\"single_run_config\",\n        ),\n        param(\n            [\"x=1\", \"hydra.mode=MULTIRUN\"],\n            dedent(\n                \"\"\"\\\n                [HYDRA] Launching 1 jobs locally\n                [HYDRA] \\t#0 : x=1\n                RunMode.MULTIRUN\"\"\"\n            ),\n            False,\n            False,\n            None,\n            id=\"multi_run_config\",\n        ),\n        param(\n            [\"--multirun\", \"x=1\"],\n            dedent(\n                \"\"\"\\\n                [HYDRA] Launching 1 jobs locally\n                [HYDRA] \\t#0 : x=1\n                RunMode.MULTIRUN\"\"\"\n            ),\n            False,\n            False,\n            None,\n            id=\"multi_run_commandline\",\n        ),\n        param(\n            [],\n            dedent(\n                \"\"\"\\\n                RunMode.RUN\"\"\"\n            ),\n            False,\n            False,\n            None,\n            id=\"run_with_no_config\",\n        ),\n        param(\n            [\"x=1,2\", \"hydra.mode=RUN\"],\n            dedent(\n                \"\"\"\\\n                Ambiguous value for argument 'x=1,2'\n                1. To use it as a list, use key=[value1,value2]\n                2. To use it as string, quote the value: key=\\\\'value1,value2\\\\'\n                3. To sweep over it, add --multirun to your command line\n\n                Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.\n                \"\"\"\n            ),\n            True,\n            False,\n            None,\n            id=\"illegal_sweep_run\",\n        ),\n        param(\n            [\"x=1,2\", \"hydra.mode=MULTIRUN\"],\n            dedent(\n                \"\"\"\\\n                [HYDRA] Launching 2 jobs locally\n                [HYDRA] \\t#0 : x=1\n                RunMode.MULTIRUN\n                [HYDRA] \\t#1 : x=2\n                RunMode.MULTIRUN\"\"\"\n            ),\n            False,\n            False,\n            None,\n            id=\"sweep_from_config\",\n        ),\n        param(\n            [\"x=1,2\", \"hydra.mode=MULTIRUN\", \"hydra/sweeper=test\"],\n            dedent(\n                \"\"\"\\\n                [HYDRA] Launching 1 jobs locally\n                [HYDRA] \\t#0 : x=1\n                RunMode.MULTIRUN\n                [HYDRA] Launching 1 jobs locally\n                [HYDRA] \\t#1 : x=2\n                RunMode.MULTIRUN\n                \"\"\"\n            ),\n            False,\n            False,\n            None,\n            id=\"sweep_from_config_with_custom_sweeper\",\n        ),\n        param(\n            [\"--multirun\", \"x=1,2\", \"hydra.mode=RUN\"],\n            dedent(\n                \"\"\"\n                [HYDRA] Launching 2 jobs locally\n                [HYDRA] \\t#0 : x=1\n                RunMode.MULTIRUN\n                [HYDRA] \\t#1 : x=2\n                RunMode.MULTIRUN\"\"\"\n            ),\n            False,\n            True,\n            dedent(\n                \"\"\"\n                .*: UserWarning:\n                \\tRunning Hydra app with --multirun, overriding with `hydra.mode=MULTIRUN`.\n                .*\n                \"\"\"\n            ),\n            id=\"multirun_commandline_with_run_config_with_warning\",\n        ),\n    ],\n)\ndef test_hydra_mode(\n    tmpdir: Path,\n    overrides: List[str],\n    expected_output: str,\n    error: bool,\n    warning: bool,\n    warning_msg: Optional[str],\n) -> None:\n    # ... other code\n    if error:\n\n        expected = normalize_newlines(expected_output)\n        ret = run_with_error(cmd)\n        assert_regex_match(\n            from_line=expected,\n            to_line=ret,\n            from_name=\"Expected output\",\n            to_name=\"Actual output\",\n        )\n    elif warning:\n\n        out, err = run_python_script(cmd, allow_warnings=True)\n        assert_regex_match(\n            from_line=expected_output,\n            to_line=out,\n            from_name=\"Expected output\",\n            to_name=\"Actual output\",\n        )\n        assert warning_msg is not None\n        assert_regex_match(\n            from_line=warning_msg,\n            to_line=err,\n            from_name=\"Expected error\",\n            to_name=\"Actual error\",\n        )\n    else:\n        out, _ = run_python_script(cmd)\n        assert_regex_match(\n            from_line=expected_output,\n            to_line=out,\n            from_name=\"Expected output\",\n            to_name=\"Actual output\",\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_runtime_choice_1882_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra.py_test_hydra_runtime_choice_1882_", "embedding": null, "metadata": {"file_path": "tests/test_hydra.py", "file_name": "test_hydra.py", "file_type": "text/x-python", "category": "test", "start_line": 1837, "end_line": 1863, "span_ids": ["test_hydra_runtime_choice_1882"], "tokens": 221}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_hydra_runtime_choice_1882(tmpdir: Path) -> None:\n    cmd = [\n        \"tests/test_apps/app_with_cfg_groups/my_app_with_runtime_choices_print.py\",\n        \"--multirun\",\n        f\"hydra.sweep.dir={tmpdir}\",\n        \"hydra.hydra_logging.formatters.simple.format='[HYDRA] %(message)s'\",\n        \"hydra.job_logging.formatters.simple.format='[JOB] %(message)s'\",\n        \"hydra.job.chdir=False\",\n        \"optimizer=adam,nesterov\",\n    ]\n    expected_output = dedent(\n        \"\"\"\n                [HYDRA] Launching 2 jobs locally\n                [HYDRA] \\t#0 : optimizer=adam\n                adam\n                [HYDRA] \\t#1 : optimizer=nesterov\n                nesterov\"\"\"\n    )\n\n    out, _ = run_python_script(cmd)\n    assert_regex_match(\n        from_line=expected_output,\n        to_line=out,\n        from_name=\"Expected output\",\n        to_name=\"Actual output\",\n    )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra_context_warnings.py_test_setup_plugins_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_hydra_context_warnings.py_test_setup_plugins_", "embedding": null, "metadata": {"file_path": "tests/test_hydra_context_warnings.py", "file_name": "test_hydra_context_warnings.py", "file_type": "text/x-python", "category": "test", "start_line": 59, "end_line": 101, "span_ids": ["test_setup_plugins", "test_run_job"], "tokens": 350}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"plugin, config\",\n    [\n        (IncompatibleLauncher(), OmegaConf.create({\"hydra\": {\"launcher\": {}}})),\n        (IncompatibleSweeper(), OmegaConf.create({\"hydra\": {\"sweeper\": {}}})),\n    ],\n)\ndef test_setup_plugins(\n    monkeypatch: Any, plugin: Union[Launcher, Sweeper], config: DictConfig\n) -> None:\n    task_function = Mock(spec=TaskFunction)\n    config_loader = ConfigLoaderImpl(config_search_path=create_config_search_path(None))\n    hydra_context = HydraContext(config_loader=config_loader, callbacks=Callbacks())\n    plugin_instance = Plugins.instance()\n    monkeypatch.setattr(Plugins, \"check_usage\", lambda _: None)\n    monkeypatch.setattr(plugin_instance, \"_instantiate\", lambda _: plugin)\n\n    msg = \"setup() got an unexpected keyword argument 'hydra_context'\"\n    with raises(TypeError, match=re.escape(msg)):\n        if isinstance(plugin, Launcher):\n            Plugins.instance().instantiate_launcher(\n                hydra_context=hydra_context,\n                task_function=task_function,\n                config=config,\n            )\n        else:\n            Plugins.instance().instantiate_sweeper(\n                hydra_context=hydra_context,\n                task_function=task_function,\n                config=config,\n            )\n\n\ndef test_run_job() -> None:\n    hydra_context = None\n    msg = dedent(\n        \"\"\"\n        run_job's signature has changed: the `hydra_context` arg is now required.\n        For more info, check https://github.com/facebookresearch/hydra/pull/1581.\"\"\"\n    )\n    with raises(TypeError, match=msg):\n        _check_hydra_context(hydra_context)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_internal_utils.py_from_typing_import_Any_C_test_get_column_widths.assert_utils_get_column_w": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_internal_utils.py_from_typing_import_Any_C_test_get_column_widths.assert_utils_get_column_w", "embedding": null, "metadata": {"file_path": "tests/test_internal_utils.py", "file_name": "test_internal_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 25, "span_ids": ["test_get_column_widths", "docstring"], "tokens": 190}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Any, Callable, Optional\n\nfrom omegaconf import DictConfig, OmegaConf\nfrom pytest import mark, param\n\nfrom hydra._internal import utils\nfrom tests import data\n\n\n@mark.parametrize(\n    \"matrix,expected\",\n    [\n        ([[\"a\"]], [1]),\n        ([[\"a\", \"bb\"]], [1, 2]),\n        ([[\"a\", \"bb\"], [\"aa\", \"b\"]], [2, 2]),\n        ([[\"a\"], [\"aa\", \"b\"]], [2, 1]),\n        ([[\"a\", \"aa\"], [\"bb\"]], [2, 2]),\n        ([[\"a\"]], [1]),\n        ([[\"a\"]], [1]),\n        ([[\"a\"]], [1]),\n    ],\n)\ndef test_get_column_widths(matrix: Any, expected: Any) -> None:\n    assert utils.get_column_widths(matrix) == expected", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_internal_utils.py_test_get_class_name_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_internal_utils.py_test_get_class_name_", "embedding": null, "metadata": {"file_path": "tests/test_internal_utils.py", "file_name": "test_internal_utils.py", "file_type": "text/x-python", "category": "test", "start_line": 28, "end_line": 56, "span_ids": ["test_get_class_name", "test_detect_calling_file_or_module_from_task_function"], "tokens": 243}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config, expected\",\n    [\n        param(OmegaConf.create({\"_target_\": \"foo\"}), \"foo\", id=\"ObjectConf:target\"),\n    ],\n)\ndef test_get_class_name(config: DictConfig, expected: Any) -> None:\n    assert utils._get_cls_name(config) == expected\n\n\n@mark.parametrize(\n    \"task_function, expected_file, expected_module\",\n    [\n        param(data.foo, None, \"tests.data\", id=\"function\"),\n        param(data.foo_main_module, data.__file__, None, id=\"function-main-module\"),\n        param(data.Bar, None, \"tests.data\", id=\"class\"),\n        param(data.bar_instance, None, \"tests.data\", id=\"class_inst\"),\n        param(data.bar_instance_main_module, None, None, id=\"class_inst-main-module\"),\n    ],\n)\ndef test_detect_calling_file_or_module_from_task_function(\n    task_function: Callable[..., None],\n    expected_file: Optional[str],\n    expected_module: Optional[str],\n) -> None:\n    file, module = utils.detect_calling_file_or_module_from_task_function(task_function)\n    assert file == expected_file\n    assert module == expected_module", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_plugin_interface.py_test_discover_test_discover.for_ex_in_expected_classe.assert_ex_in_plugins": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_plugin_interface.py_test_discover_test_discover.for_ex_in_expected_classe.assert_ex_in_plugins", "embedding": null, "metadata": {"file_path": "tests/test_plugin_interface.py", "file_name": "test_plugin_interface.py", "file_type": "text/x-python", "category": "test", "start_line": 21, "end_line": 34, "span_ids": ["test_discover"], "tokens": 111}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"plugin_type, expected\",\n    [\n        (Launcher, launchers),\n        (Sweeper, sweepers),\n        (SearchPathPlugin, search_path_plugins),\n        (Plugin, launchers + sweepers + search_path_plugins),\n    ],\n)\ndef test_discover(plugin_type: Type[Plugin], expected: List[str]) -> None:\n    plugins = Plugins.instance().discover(plugin_type)\n    expected_classes = [get_class(c) for c in expected]\n    for ex in expected_classes:\n        assert ex in plugins", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_plugin_interface.py_test_register_plugin_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_plugin_interface.py_test_register_plugin_", "embedding": null, "metadata": {"file_path": "tests/test_plugin_interface.py", "file_name": "test_plugin_interface.py", "file_type": "text/x-python", "category": "test", "start_line": 37, "end_line": 55, "span_ids": ["test_register_bad_plugin", "test_register_plugin"], "tokens": 127}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_register_plugin() -> None:\n    class MyPlugin(SearchPathPlugin):\n        def manipulate_search_path(self, search_path: ConfigSearchPath) -> None:\n            ...\n\n    Plugins.instance().register(MyPlugin)\n\n    assert MyPlugin in Plugins.instance().discover(Plugin)\n    assert MyPlugin in Plugins.instance().discover(SearchPathPlugin)\n    assert MyPlugin not in Plugins.instance().discover(Launcher)\n\n\ndef test_register_bad_plugin() -> None:\n    class NotAPlugin:\n        ...\n\n    with raises(ValueError, match=\"Not a valid Hydra Plugin\"):\n        Plugins.instance().register(NotAPlugin)  # type: ignore", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/configen.py_inspect_jinja_env_tests_empty_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/configen.py_inspect_jinja_env_tests_empty_", "embedding": null, "metadata": {"file_path": "tools/configen/configen/configen.py", "file_name": "configen.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 46, "span_ids": ["imports"], "tokens": 257}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import inspect\nimport logging\nimport os\nimport pkgutil\nimport sys\nfrom dataclasses import dataclass\nfrom enum import Enum\nfrom pathlib import Path\nfrom textwrap import dedent\nfrom typing import Any, Dict, List, Optional, Set, Type, get_type_hints\n\nimport hydra\nfrom jinja2 import Environment, PackageLoader, Template\nfrom omegaconf import OmegaConf, ValidationError\nfrom omegaconf._utils import (\n    is_union_annotation,\n    _resolve_optional,\n    get_dict_key_value_types,\n    get_list_element_type,\n    is_dict_annotation,\n    is_list_annotation,\n    is_structured_config,\n)\n\nfrom configen.config import Config, ConfigenConf, ModuleConf\nfrom configen.utils import (\n    collect_imports,\n    convert_imports,\n    is_tuple_annotation,\n    type_str,\n)\n\n# Adding the current working directory to the PYTHONPATH to allow generation of code\n# that is not installed properly\nsys.path.append(os.getcwd())\n\nlog = logging.getLogger(__name__)\n\njinja_env = Environment(\n    loader=PackageLoader(\"configen\", \"templates\"),\n    keep_trailing_newline=True,\n    trim_blocks=True,\n)\njinja_env.tests[\"empty\"] = lambda x: x == inspect.Signature.empty", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/configen.py_init_config_init_config.file_write_bytes_sample_c": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/configen.py_init_config_init_config.file_write_bytes_sample_c", "embedding": null, "metadata": {"file_path": "tools/configen/configen/configen.py", "file_name": "configen.py", "file_type": "text/x-python", "category": "implementation", "start_line": 49, "end_line": 61, "span_ids": ["init_config"], "tokens": 117}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def init_config(conf_dir: str) -> None:\n    log.info(f\"Initializing config in '{conf_dir}'\")\n\n    path = Path(hydra.utils.to_absolute_path(conf_dir))\n    path.mkdir(parents=True, exist_ok=True)\n    file = path / \"configen.yaml\"\n    if file.exists():\n        sys.stderr.write(f\"Config file '{file}' already exists\\n\")\n        sys.exit(1)\n\n    sample_config = pkgutil.get_data(__name__, \"templates/sample_config.yaml\")\n    assert sample_config is not None\n    file.write_bytes(sample_config)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/configen.py_save_ClassInfo.target": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/configen/configen.py_save_ClassInfo.target", "embedding": null, "metadata": {"file_path": "tools/configen/configen/configen.py", "file_name": "configen.py", "file_type": "text/x-python", "category": "implementation", "start_line": 64, "end_line": 88, "span_ids": ["ClassInfo", "save", "Parameter"], "tokens": 148}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def save(cfg: ConfigenConf, module: str, code: str) -> None:\n    module_path = module.replace(\".\", \"/\")\n\n    module_path_pattern = Template(cfg.module_path_pattern).render(\n        module_path=module_path\n    )\n    path = Path(cfg.output_dir) / module_path_pattern\n    path.parent.mkdir(parents=True, exist_ok=True)\n    path.write_text(code)\n    log.info(f\"{module}.{module} -> {path}\")\n\n\n@dataclass\nclass Parameter:\n    name: str\n    type_str: str\n    default: Optional[str]\n\n\n@dataclass\nclass ClassInfo:\n    module: str\n    name: str\n    parameters: List[Parameter]\n    target: str", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/example/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/example/__init__.py__", "embedding": null, "metadata": {"file_path": "tools/configen/example/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/example/config/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/example/config/__init__.py__", "embedding": null, "metadata": {"file_path": "tools/configen/example/config/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/example/config/configen/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/example/config/configen/__init__.py__", "embedding": null, "metadata": {"file_path": "tools/configen/example/config/configen/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/example/config/configen/samples/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tools/configen/example/config/configen/samples/__init__.py__", "embedding": null, "metadata": {"file_path": "tools/configen/example/config/configen/samples/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "implementation", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/build_helpers/build_helpers.py_run_antlr_SDistCommand.run.sdist_sdist_run_self_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/build_helpers/build_helpers.py_run_antlr_SDistCommand.run.sdist_sdist_run_self_", "embedding": null, "metadata": {"file_path": "build_helpers/build_helpers.py", "file_name": "build_helpers.py", "file_type": "text/x-python", "category": "implementation", "start_line": 134, "end_line": 168, "span_ids": ["BuildPyCommand.run", "Develop", "SDistCommand", "Develop.run", "SDistCommand.run", "BuildPyCommand", "run_antlr"], "tokens": 246}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def run_antlr(cmd: Command) -> None:\n    try:\n        log.info(\"Generating parsers with antlr4\")\n        cmd.run_command(\"antlr\")\n    except OSError as e:\n        if e.errno == errno.ENOENT:\n            msg = f\"| Unable to generate parsers: {e} |\"\n            msg = \"=\" * len(msg) + \"\\n\" + msg + \"\\n\" + \"=\" * len(msg)\n            log.critical(f\"{msg}\")\n            exit(1)\n        else:\n            raise\n\n\nclass BuildPyCommand(build_py.build_py):\n    def run(self) -> None:\n        if not self.dry_run:\n            self.run_command(\"clean\")\n            run_antlr(self)\n        build_py.build_py.run(self)\n\n\nclass Develop(develop.develop):\n    def run(self) -> None:  # type: ignore\n        if not self.dry_run:\n            run_antlr(self)\n        develop.develop.run(self)\n\n\nclass SDistCommand(sdist.sdist):\n    def run(self) -> None:\n        if not self.dry_run:  # type: ignore\n            self.run_command(\"clean\")\n            run_antlr(self)\n        sdist.sdist.run(self)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/contrib/hydra_torchrun_launcher/hydra_plugins/hydra_torchrun_launcher/_core.py_logging_log.logging_getLogger___name_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/contrib/hydra_torchrun_launcher/hydra_plugins/hydra_torchrun_launcher/_core.py_logging_log.logging_getLogger___name_", "embedding": null, "metadata": {"file_path": "contrib/hydra_torchrun_launcher/hydra_plugins/hydra_torchrun_launcher/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 17, "end_line": 42, "span_ids": ["docstring"], "tokens": 139}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import logging\n\nfrom functools import partial\nfrom pathlib import Path\nfrom typing import Sequence\n\nfrom omegaconf import DictConfig, open_dict\nfrom hydra.types import HydraContext\nfrom hydra.core.singleton import Singleton\nfrom hydra.core.hydra_config import HydraConfig\nfrom hydra.types import TaskFunction\nfrom hydra.core.utils import (\n    JobReturn,\n    configure_log,\n    filter_overrides,\n    run_job,\n    setup_globals,\n    env_override,\n)\n\nfrom torch.distributed.launcher.api import LaunchConfig, launch_agent\nfrom torch.distributed.elastic.multiprocessing import Std\n\nfrom .distributed_launcher import TorchDistributedLauncher\n\nlog = logging.getLogger(__name__)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/contrib/hydra_torchrun_launcher/hydra_plugins/hydra_torchrun_launcher/_core.py_setup_setup.launcher.launch_config.LaunchConfig_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/contrib/hydra_torchrun_launcher/hydra_plugins/hydra_torchrun_launcher/_core.py_setup_setup.launcher.launch_config.LaunchConfig_", "embedding": null, "metadata": {"file_path": "contrib/hydra_torchrun_launcher/hydra_plugins/hydra_torchrun_launcher/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 45, "end_line": 72, "span_ids": ["setup"], "tokens": 225}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def setup(\n    launcher: TorchDistributedLauncher,\n    *,\n    hydra_context: HydraContext,\n    task_function: TaskFunction,\n    config: DictConfig,\n) -> None:\n    launcher.config = config\n    launcher.hydra_context = hydra_context\n    launcher.task_function = task_function\n\n    c = config.hydra.launcher\n    launcher.launch_config = LaunchConfig(\n            min_nodes=c.min_nodes,\n            max_nodes=c.max_nodes,\n            nproc_per_node=c.nproc_per_node,\n            run_id=c.rdzv_id,\n            role=c.role,\n            rdzv_endpoint=c.rdzv_endpoint,\n            rdzv_backend=c.rdzv_backend,\n            rdzv_configs={'rank': 0},\n            max_restarts=c.max_restarts,\n            monitor_interval=c.monitor_interval,\n            start_method='fork', # Works only with fork. Spawn and forkserver require pickling which does't work inside wrapped function\n            redirects=Std.from_str(c.redirects),\n            tee=Std.from_str(c.tee),\n            log_dir=c.get('log_dir'),\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/contrib/hydra_torchrun_launcher/hydra_plugins/hydra_torchrun_launcher/_core.py_launch_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/contrib/hydra_torchrun_launcher/hydra_plugins/hydra_torchrun_launcher/_core.py_launch_", "embedding": null, "metadata": {"file_path": "contrib/hydra_torchrun_launcher/hydra_plugins/hydra_torchrun_launcher/_core.py", "file_name": "_core.py", "file_type": "text/x-python", "category": "implementation", "start_line": 74, "end_line": 139, "span_ids": ["wrapped_task_function", "launch"], "tokens": 579}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def launch(\n    launcher: TorchDistributedLauncher,\n    job_overrides: Sequence[Sequence[str]],\n    initial_job_idx: int\n) -> Sequence[JobReturn]:\n    \"\"\"\n    :param job_overrides: a List of List<String>, where each inner list is the arguments for one job run.\n    :param initial_job_idx: Initial job idx in batch.\n    :return: an array of return values from run_job with indexes corresponding to the input list indexes.\n    \"\"\"\n    setup_globals()\n    assert launcher.config is not None\n    assert launcher.hydra_context is not None\n    assert launcher.task_function is not None\n\n    configure_log(launcher.config.hydra.hydra_logging, launcher.config.hydra.verbose)\n    sweep_dir = Path(str(launcher.config.hydra.sweep.dir))\n    sweep_dir.mkdir(parents=True, exist_ok=True)\n    runs = []\n\n    for idx, overrides in enumerate(job_overrides):\n        idx = initial_job_idx + idx\n        lst = \" \".join(filter_overrides(overrides))\n        log.info(f\"\\t#{idx} : {lst}\")\n        sweep_config = launcher.hydra_context.config_loader.load_sweep_config(\n            launcher.config, list(overrides)\n        )\n        with open_dict(sweep_config):\n            # This typically coming from the underlying scheduler (SLURM_JOB_ID for instance)\n            # In that case, it will not be available here because we are still in the main process.\n            # but instead should be populated remotely before calling the task_function.\n            sweep_config.hydra.job.id = f\"job_id_for_{idx}\"\n            sweep_config.hydra.job.num = idx\n\n        HydraConfig.instance().set_config(sweep_config)\n        launcher.singleton_state = Singleton.get_state()\n\n        def _task_function(task_function, singleton_state, task_cfg):\n            return launch_agent(launcher.launch_config, \n                                wrapped_task_function,\n                                [task_function, launcher.singleton_state, task_cfg]\n                                )\n        _task_function = partial(_task_function, launcher.task_function, launcher.singleton_state)\n\n        ret = run_job(\n            hydra_context=launcher.hydra_context,\n            task_function=_task_function,\n            config=sweep_config,\n            job_dir_key=\"hydra.sweep.dir\",\n            job_subdir_key=\"hydra.sweep.subdir\",\n        )\n\n        # We assume that main process has rank 0\n        ret.return_value = ret.return_value[0]\n        runs.append(ret)\n        configure_log(launcher.config.hydra.hydra_logging, launcher.config.hydra.verbose)\n    return runs\n\n\ndef wrapped_task_function(task_function, singleton_state, task_cfg):\n    Singleton.set_state(singleton_state)\n    env_set = HydraConfig.instance().cfg.hydra.job.env_set\n    with env_override(env_set):\n        ret = task_function(task_cfg)\n        return ret", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/contrib/hydra_torchrun_launcher/hydra_plugins/hydra_torchrun_launcher/config.py_from_dataclasses_import_d_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/contrib/hydra_torchrun_launcher/hydra_plugins/hydra_torchrun_launcher/config.py_from_dataclasses_import_d_", "embedding": null, "metadata": {"file_path": "contrib/hydra_torchrun_launcher/hydra_plugins/hydra_torchrun_launcher/config.py", "file_name": "config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 17, "end_line": 44, "span_ids": ["LauncherConfig", "impl", "docstring"], "tokens": 210}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from dataclasses import dataclass\nfrom hydra.core.config_store import ConfigStore\n\n\n@dataclass\nclass LauncherConfig:\n    _target_: str = (\n        \"hydra_plugins.hydra_torchrun_launcher.distributed_launcher.TorchDistributedLauncher\"\n    )\n    min_nodes: int = 1\n    max_nodes: int = 1\n    nproc_per_node: int = 8\n    rdzv_id: str = 'none'\n    role: str = 'default'\n    rdzv_endpoint: str = '127.0.0.1:29500'\n    rdzv_backend: str = 'static'\n    rdzv_timeout: int = -1\n    max_restarts: int = 0\n    monitor_interval: int = 5\n    log_dir = None\n    redirects: str = '0'\n    tee: str = '0'\n\n\nConfigStore.instance().store(\n    group=\"hydra/launcher\", name=\"torchrun\", node=LauncherConfig\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/contrib/hydra_torchrun_launcher/hydra_plugins/hydra_torchrun_launcher/distributed_launcher.py_from_typing_import_Option_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/contrib/hydra_torchrun_launcher/hydra_plugins/hydra_torchrun_launcher/distributed_launcher.py_from_typing_import_Option_", "embedding": null, "metadata": {"file_path": "contrib/hydra_torchrun_launcher/hydra_plugins/hydra_torchrun_launcher/distributed_launcher.py", "file_name": "distributed_launcher.py", "file_type": "text/x-python", "category": "implementation", "start_line": 18, "end_line": 50, "span_ids": ["TorchDistributedLauncher", "TorchDistributedLauncher.__init__", "TorchDistributedLauncher.launch", "docstring", "TorchDistributedLauncher.setup"], "tokens": 242}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Optional, Sequence\n\nfrom hydra.types import HydraContext\nfrom hydra.core.utils import JobReturn\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.types import TaskFunction\nfrom omegaconf import DictConfig\n\n\nclass TorchDistributedLauncher(Launcher):\n    def __init__(self, **kwargs) -> None:\n        self.config: Optional[DictConfig] = None\n        self.task_function: Optional[TaskFunction] = None\n        self.hydra_context: Optional[HydraContext] = None\n\n    def setup(\n        self,\n        *,\n        hydra_context: HydraContext,\n        task_function: TaskFunction,\n        config: DictConfig,\n    ) -> None:\n        from . import _core\n\n        return _core.setup(launcher=self, hydra_context=hydra_context, task_function=task_function, config=config)\n\n    def launch(\n        self, job_overrides: Sequence[Sequence[str]], initial_job_idx: int\n    ) -> Sequence[JobReturn]:\n        from . import _core\n\n        return _core.launch(launcher=self, job_overrides=job_overrides, initial_job_idx=initial_job_idx)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/contrib/hydra_torchrun_launcher/setup.py_from_setuptools_import_fi_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/contrib/hydra_torchrun_launcher/setup.py_from_setuptools_import_fi_", "embedding": null, "metadata": {"file_path": "contrib/hydra_torchrun_launcher/setup.py", "file_name": "setup.py", "file_type": "text/x-python", "category": "implementation", "start_line": 17, "end_line": 35, "span_ids": ["docstring"], "tokens": 157}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from setuptools import find_namespace_packages, setup\n\nsetup(\n    name=\"hydra-torchrun-launcher\",\n    version=\"0.1\",\n    author=\"Jan Baczek\",\n    author_email=\"jbaczek@nvidia.com\",\n    description=\"Torch distributed launcher plugin\",\n    packages=find_namespace_packages(include=[\"hydra_plugins.*\"]),\n    classifiers=[\n        \"License :: OSI Approved :: MIT Apache License, Version 2.0\",\n        \"Programming Language :: Python :: 3.7\",\n        \"Programming Language :: Python :: 3.8\",\n        \"Programming Language :: Python :: 3.9\",\n    ],\n    install_requires=[\"torch>=1.11.0\",\"hydra-core>=1.1.1\"],\n    include_package_data=True,\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/contrib/hydra_torchrun_launcher/tests/__init__.py__": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/contrib/hydra_torchrun_launcher/tests/__init__.py__", "embedding": null, "metadata": {"file_path": "contrib/hydra_torchrun_launcher/tests/__init__.py", "file_name": "__init__.py", "file_type": "text/x-python", "category": "test", "start_line": 1, "end_line": 2, "span_ids": ["docstring"], "tokens": 16}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/contrib/hydra_torchrun_launcher/tests/test_torchrun_launcher.py_from_typing_import_Any_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/contrib/hydra_torchrun_launcher/tests/test_torchrun_launcher.py_from_typing_import_Any_", "embedding": null, "metadata": {"file_path": "contrib/hydra_torchrun_launcher/tests/test_torchrun_launcher.py", "file_name": "test_torchrun_launcher.py", "file_type": "text/x-python", "category": "test", "start_line": 16, "end_line": 68, "span_ids": ["TestTorechDistributedLauncher", "test_discovery", "TestTorechDistributedLauncherIntegration", "docstring"], "tokens": 283}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "from typing import Any\n\nfrom hydra.core.plugins import Plugins\nfrom hydra.plugins.launcher import Launcher\nfrom hydra.test_utils.launcher_common_tests import (\n    IntegrationTestSuite,\n    LauncherTestSuite,\n)\nfrom hydra.test_utils.test_utils import TSweepRunner, chdir_plugin_root\nfrom pytest import mark\n\nfrom hydra_plugins.hydra_torchrun_launcher.distributed_launcher import TorchDistributedLauncher\n\nchdir_plugin_root()\n\n\ndef test_discovery() -> None:\n    # Tests that this plugin can be discovered via the plugins subsystem when looking for Launchers\n    assert TorchDistributedLauncher.__name__ in [\n        x.__name__ for x in Plugins.instance().discover(Launcher)\n    ]\n\n\n@mark.parametrize(\"launcher_name, overrides\", [(\"torchrun\", [])])\nclass TestTorechDistributedLauncher(LauncherTestSuite):\n    \"\"\"\n    Run the Launcher test suite on this launcher.\n    \"\"\"\n\n    pass\n\n\n@mark.parametrize(\n    \"task_launcher_cfg, extra_flags\",\n    [\n        (\n            {},\n            [\n                \"-m\",\n                \"hydra/job_logging=hydra_debug\",\n                \"hydra/job_logging=disabled\",\n                \"hydra/launcher=torchrun\",\n            ],\n        )\n    ],\n)\nclass TestTorechDistributedLauncherIntegration(IntegrationTestSuite):\n    \"\"\"\n    Run this launcher through the integration test suite.\n    \"\"\"\n\n    pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/example/sphere.py_hydra_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/example/sphere.py_hydra_", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/example/sphere.py", "file_name": "sphere.py", "file_type": "text/x-python", "category": "implementation", "start_line": 2, "end_line": 19, "span_ids": ["sphere", "impl", "docstring"], "tokens": 94}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import hydra\nfrom omegaconf import DictConfig\n\n\n@hydra.main(version_base=None, config_path=\"conf\", config_name=\"config\")\ndef sphere(cfg: DictConfig) -> float:\n    x: float = cfg.x\n    y: float = cfg.y\n\n    if cfg.get(\"error\", False):\n        raise RuntimeError(\"cfg.error is True\")\n\n    return x**2 + y**2\n\n\nif __name__ == \"__main__\":\n    sphere()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_test_warnings_test_warnings.if_raise_warning_.else_.sweeper__process_searchsp": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_test_warnings_test_warnings.if_raise_warning_.else_.sweeper__process_searchsp", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py", "file_name": "test_optuna_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 299, "end_line": 348, "span_ids": ["test_warnings"], "tokens": 307}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"search_space,params,raise_warning,msg\",\n    [\n        (None, None, False, None),\n        (\n            {},\n            {},\n            True,\n            r\"Both hydra.sweeper.params and hydra.sweeper.search_space are configured.*\",\n        ),\n        (\n            {},\n            None,\n            True,\n            r\"`hydra.sweeper.search_space` is deprecated and will be removed in the next major release.*\",\n        ),\n        (None, {}, False, None),\n    ],\n)\ndef test_warnings(\n    tmpdir: Path,\n    search_space: Optional[DictConfig],\n    params: Optional[DictConfig],\n    raise_warning: bool,\n    msg: Optional[str],\n) -> None:\n    partial_sweeper = partial(\n        OptunaSweeperImpl,\n        sampler=RandomSampler(),\n        direction=Direction.minimize,\n        storage=None,\n        study_name=\"test\",\n        n_trials=1,\n        n_jobs=1,\n        max_failure_rate=0.0,\n        custom_search_space=None,\n    )\n    if search_space is not None:\n        search_space = OmegaConf.create(search_space)\n    if params is not None:\n        params = OmegaConf.create(params)\n    sweeper = partial_sweeper(search_space=search_space, params=params)\n    if raise_warning:\n        with warns(\n            UserWarning,\n            match=msg,\n        ):\n            sweeper._process_searchspace_config()\n    else:\n        sweeper._process_searchspace_config()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_test_failure_rate_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py_test_failure_rate_", "embedding": null, "metadata": {"file_path": "plugins/hydra_optuna_sweeper/tests/test_optuna_sweeper_plugin.py", "file_name": "test_optuna_sweeper_plugin.py", "file_type": "text/x-python", "category": "test", "start_line": 351, "end_line": 372, "span_ids": ["test_failure_rate"], "tokens": 208}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\"max_failure_rate\", (0.5, 1.0))\ndef test_failure_rate(max_failure_rate: float, tmpdir: Path) -> None:\n    cmd = [\n        sys.executable,\n        \"example/sphere.py\",\n        \"--multirun\",\n        \"hydra.sweep.dir=\" + str(tmpdir),\n        \"hydra.job.chdir=True\",\n        \"hydra.sweeper.n_trials=20\",\n        \"hydra.sweeper.n_jobs=2\",\n        \"hydra/sweeper/sampler=random\",\n        \"hydra.sweeper.sampler.seed=123\",\n        f\"hydra.sweeper.max_failure_rate={max_failure_rate}\",\n        \"error=true\",\n    ]\n    out, err = run_process(cmd, print_error=False, raise_exception=False)\n    error_string = \"RuntimeError: cfg.error is True\"\n    if max_failure_rate < 1.0:\n        assert error_string in err\n    else:\n        assert error_string not in err", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py_RayClusterConf_RayClusterConf._dictionary_from_REMOTE_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py_RayClusterConf_RayClusterConf._dictionary_from_REMOTE_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py", "file_name": "_config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 205, "end_line": 288, "span_ids": ["RayClusterConf"], "tokens": 809}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass RayClusterConf:\n    \"\"\"\n    This class maps to a Ray cluster config, e.g:\n    https://github.com/ray-project/ray/blob/master/python/ray/autoscaler/aws/example-full.yaml\n    Schema: https://github.com/ray-project/ray/blob/master/python/ray/autoscaler/ray-schema.json\n    \"\"\"\n\n    # An unique identifier for the head node and workers of this cluster.\n    cluster_name: str = \"default\"\n\n    # The minimum number of workers nodes to launch in addition to the head\n    # node. This number should be >= 0.\n    min_workers: int = 0\n\n    # The autoscaler will scale up the cluster faster with higher upscaling speed.\n    # E.g., if the task requires adding more nodes then autoscaler will gradually\n    # scale up the cluster in chunks of upscaling_speed*currently_running_nodes.\n    # This number should be > 0.\n    upscaling_speed: float = 1.0\n\n    # The maximum number of workers nodes to launch in addition to the head\n    # node. This takes precedence over min_workers.\n    max_workers: int = 1\n\n    # The initial number of worker nodes to launch in addition to the head\n    # node. When the cluster is first brought up (or when it is refreshed with a\n    # subsequent `ray up`) this number of nodes will be started.\n    initial_workers: int = 0\n\n    autoscaling_mode: RayAutoScalingMode = RayAutoScalingMode.default\n\n    # The autoscaler will scale up the cluster to this target fraction of resource\n    # usage. For example, if a cluster of 10 nodes is 100% busy and\n    # target_utilization is 0.8, it would resize the cluster to 13. This fraction\n    # can be decreased to increase the aggressiveness of upscaling.\n    # This value must be less than 1.0 for scaling to happen.\n    target_utilization_fraction: float = 0.8\n\n    # If a node is idle for this many minutes, it will be removed.\n    idle_timeout_minutes: int = 5\n\n    docker: RayDockerConf = RayDockerConf()\n\n    provider: RayProviderConf = RayProviderConf()\n\n    # For additional options, check:\n    # https://github.com/ray-project/ray/blob/master/python/ray/autoscaler/aws/example-full.yaml\n    auth: Dict[str, str] = field(default_factory=lambda: {\"ssh_user\": \"ubuntu\"})\n\n    \"\"\"\n    Additional options in boto docs.\n    https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/ec2.html\n    \"\"\"\n\n    # Tell the autoscaler the allowed node types and the resources they provide.\n    # The key is the name of the node type, which is just for debugging purposes.\n    # The node config specifies the launch config and physical instance type.\n    available_node_types: Dict[str, Any] = field(\n        default_factory=lambda: {\n            \"ray.head.default\": {\n                \"resources\": {},\n                \"node_config\": {\n                    \"InstanceType\": \"m5.large\",\n                    \"ImageId\": \"ami-0a2363a9cff180a64\",\n                },\n            },\n            \"ray.worker.default\": {\n                \"min_workers\": 0,\n                \"max_workers\": 2,\n                \"resources\": {},\n                \"node_config\": {\n                    \"InstanceType\": \"m5.large\",\n                    \"ImageId\": \"ami-0a2363a9cff180a64\",\n                    \"InstanceMarketOptions\": {\"MarketType\": \"spot\"},\n                },\n            },\n        }\n    )\n\n    head_node_type: str = \"ray.head.default\"\n\n    # Files or directories to copy to the head and worker nodes. The format is a\n    # dictionary from REMOTE_PATH: LOCAL_PATH, e.g.", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py_RayClusterConf.file_mounts_RayAWSConf.run_env.RayRunEnv_auto": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py_RayClusterConf.file_mounts_RayAWSConf.run_env.RayRunEnv_auto", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py", "file_name": "_config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 289, "end_line": 327, "span_ids": ["RayAWSConf", "RayClusterConf"], "tokens": 370}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass RayClusterConf:\n    file_mounts: Dict[str, str] = field(default_factory=dict)\n\n    initialization_commands: List[str] = field(default_factory=list)\n\n    # Files or directories to copy from the head node to the worker nodes. The format is a\n    # list of paths. The same path on the head node will be copied to the worker node.\n    # This behavior is a subset of the file_mounts behavior. In the vast majority of cases\n    # you should just use file_mounts. Only use this if you know what you're doing!\n    cluster_synced_files: List[str] = field(default_factory=list)\n\n    # populated automatically\n    setup_commands: List[str] = field(default_factory=list)\n\n    head_setup_commands: List[str] = field(default_factory=list)\n\n    worker_setup_commands: List[str] = field(default_factory=list)\n\n    head_start_ray_commands: List[str] = field(\n        default_factory=lambda: [\n            \"ray stop\",\n            \"ulimit -n 65536;ray start --head --port=6379 --object-manager-port=8076 \\\n            --autoscaling-config=~/ray_bootstrap_config.yaml\",\n        ]\n    )\n\n    # Custom commands that will be run on worker nodes after common setup.\n    # Custom commands that will be run on worker nodes after common setup.\n    worker_start_ray_commands: List[str] = field(\n        default_factory=lambda: [\n            \"ray stop\",\n            \"ulimit -n 65536; ray start --address=$RAY_HEAD_IP:6379 --object-manager-port=8076\",\n        ]\n    )\n\n\n@dataclass\nclass RayAWSConf(RayConf):\n    cluster: RayClusterConf = RayClusterConf()\n    run_env: RayRunEnv = RayRunEnv.auto", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py_RayAWSLauncherConf_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py_RayAWSLauncherConf_", "embedding": null, "metadata": {"file_path": "plugins/hydra_ray_launcher/hydra_plugins/hydra_ray_launcher/_config.py", "file_name": "_config.py", "file_type": "text/x-python", "category": "implementation", "start_line": 330, "end_line": 376, "span_ids": ["impl:3", "RayAWSLauncherConf"], "tokens": 392}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@dataclass\nclass RayAWSLauncherConf:\n    _target_: str = \"hydra_plugins.hydra_ray_launcher.ray_aws_launcher.RayAWSLauncher\"\n\n    env_setup: EnvSetupConf = EnvSetupConf()\n\n    ray: RayAWSConf = RayAWSConf()\n\n    # Stop Ray AWS cluster after jobs are finished.\n    # (if False, cluster will remain provisioned and can be started with \"ray up cluster.yaml\").\n    stop_cluster: bool = True\n\n    # sync_up is executed before launching jobs on the cluster.\n    # This can be used for syncing up source code to remote cluster for execution.\n    # You need to sync up if your code contains multiple modules.\n    # source is local dir, target is remote dir\n    sync_up: RsyncConf = RsyncConf()\n\n    # sync_down is executed after jobs finishes on the cluster.\n    # This can be used to download jobs output to local machine avoid the hassle to log on remote machine.\n    # source is remote dir, target is local dir\n    sync_down: RsyncConf = RsyncConf()\n\n    # Ray sdk.configure_logging parameters: log_style, color_mode, verbosity\n    logging: RayLoggingConf = RayLoggingConf()\n\n    # Ray sdk.create_or_update_cluster parameters: no_restart, restart_only, no_config_cache\n    create_update_cluster: RayCreateOrUpdateClusterConf = RayCreateOrUpdateClusterConf()\n\n    # Ray sdk.teardown parameters: workers_only, keep_min_workers\n    teardown_cluster: RayTeardownClusterConf = RayTeardownClusterConf()\n\n\nconfig_store = ConfigStore.instance()\nconfig_store.store(\n    group=\"hydra/launcher\",\n    name=\"ray\",\n    node=RayLauncherConf,\n    provider=\"ray_launcher\",\n)\nconfig_store.store(\n    group=\"hydra/launcher\",\n    name=\"ray_aws\",\n    node=RayAWSLauncherConf,\n    provider=\"ray_launcher\",\n)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_legacy_interpolation_test_legacy_interpolation.with_raises_ConfigComposi._test_defaults_tree_impl_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/defaults_list/test_defaults_tree.py_test_legacy_interpolation_test_legacy_interpolation.with_raises_ConfigComposi._test_defaults_tree_impl_", "embedding": null, "metadata": {"file_path": "tests/defaults_list/test_defaults_tree.py", "file_name": "test_defaults_tree.py", "file_type": "text/x-python", "category": "test", "start_line": 1985, "end_line": 2043, "span_ids": ["test_legacy_interpolation"], "tokens": 402}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "@mark.parametrize(\n    \"config_name,overrides,expected\",\n    [\n        param(\n            \"interpolation_legacy_with_self\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"interpolation_legacy_with_self\"),\n                children=[\n                    ConfigDefault(path=\"_self_\"),\n                    GroupDefault(group=\"group1\", value=\"file1\"),\n                    GroupDefault(group=\"group2\", value=\"file2\"),\n                    GroupDefault(group=\"group1_group2\", value=\"file1_file2\"),\n                ],\n            ),\n            id=\"interpolation_legacy_with_self\",\n        ),\n        param(\n            \"interpolation_legacy_without_self\",\n            [],\n            DefaultsTreeNode(\n                node=ConfigDefault(path=\"interpolation_legacy_without_self\"),\n                children=[\n                    GroupDefault(group=\"group1\", value=\"file1\"),\n                    GroupDefault(group=\"group2\", value=\"file2\"),\n                    GroupDefault(group=\"group1_group2\", value=\"file1_file2\"),\n                    ConfigDefault(path=\"_self_\"),\n                ],\n            ),\n            id=\"interpolation_legacy_without_self\",\n        ),\n    ],\n)\ndef test_legacy_interpolation(\n    config_name: str,\n    overrides: List[str],\n    expected: DefaultsTreeNode,\n    hydra_restore_singletons: Any,\n) -> None:\n    msg = dedent(\n        \"\"\"\n    Defaults list element '.*=.*' is using a deprecated interpolation form.\n    See http://hydra.cc/docs/next/upgrades/1.0_to_1.1/defaults_list_interpolation for migration information.\"\"\"\n    )\n    version.setbase(\"1.1\")\n    with warns(expected_warning=UserWarning, match=msg):\n        _test_defaults_tree_impl(\n            config_name=config_name,\n            input_overrides=overrides,\n            expected=expected,\n        )\n\n    version.setbase(\"1.2\")\n    with raises(ConfigCompositionException, match=msg):\n        _test_defaults_tree_impl(\n            config_name=config_name,\n            input_overrides=overrides,\n            expected=expected,\n        )", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_partial_with_missing_test_instantiate_with_missing.with_raises_MissingMandat.instantiate_func_config_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_partial_with_missing_test_instantiate_with_missing.with_raises_MissingMandat.instantiate_func_config_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 426, "end_line": 448, "span_ids": ["test_instantiate_with_missing", "test_partial_with_missing"], "tokens": 197}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_partial_with_missing(instantiate_func: Any) -> Any:\n    config = {\n        \"_target_\": \"tests.instantiate.AClass\",\n        \"_partial_\": True,\n        \"a\": \"???\",\n        \"b\": 20,\n        \"c\": 30,\n    }\n    partial_obj = instantiate_func(config)\n    assert partial_equal(partial_obj, partial(AClass, b=20, c=30))\n    obj = partial_obj(a=10)\n    assert partial_equal(obj, AClass(a=10, b=20, c=30))\n\n\ndef test_instantiate_with_missing(instantiate_func: Any) -> Any:\n    config = {\n        \"_target_\": \"tests.instantiate.AClass\",\n        \"a\": \"???\",\n        \"b\": 20,\n        \"c\": 30,\n    }\n    with raises(MissingMandatoryValue, match=re.escape(\"Missing mandatory value: a\")):\n        instantiate_func(config)", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_targetconf_deprecated_test_targetconf_disabled.with_raises_.TargetConf_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_targetconf_deprecated_test_targetconf_disabled.with_raises_.TargetConf_", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 656, "end_line": 673, "span_ids": ["test_targetconf_disabled", "test_targetconf_deprecated"], "tokens": 128}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_targetconf_deprecated(hydra_restore_singletons: Any) -> None:\n    version.setbase(\"1.1\")\n    with warns(\n        expected_warning=UserWarning,\n        match=re.escape(\n            \"TargetConf is deprecated since Hydra 1.1 and will be removed in Hydra 1.2.\"\n        ),\n    ):\n        TargetConf()\n\n\ndef test_targetconf_disabled(hydra_restore_singletons: Any) -> None:\n    version.setbase(\"1.2\")\n    with raises(\n        TypeError,\n        match=re.escape(\"TargetConf is unsupported since Hydra 1.2\"),\n    ):\n        TargetConf()", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_bad_adam_conf_test_instantiate_bad_adam_conf.with_raises_.instantiate_func_BadAdamC": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/instantiate/test_instantiate.py_test_instantiate_bad_adam_conf_test_instantiate_bad_adam_conf.with_raises_.instantiate_func_BadAdamC", "embedding": null, "metadata": {"file_path": "tests/instantiate/test_instantiate.py", "file_name": "test_instantiate.py", "file_type": "text/x-python", "category": "test", "start_line": 676, "end_line": 690, "span_ids": ["test_instantiate_bad_adam_conf"], "tokens": 125}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_instantiate_bad_adam_conf(instantiate_func: Any, recwarn: Any) -> None:\n    msg = re.escape(\n        dedent(\n            \"\"\"\\\n            Config has missing value for key `_target_`, cannot instantiate.\n            Config type: BadAdamConf\n            Check that the `_target_` key in your dataclass is properly annotated and overridden.\n            A common problem is forgetting to annotate _target_ as a string : '_target_: str = ...'\"\"\"\n        )\n    )\n    with raises(\n        InstantiationException,\n        match=msg,\n    ):\n        instantiate_func(BadAdamConf())", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_os_is_expect_exists.return.shutil_which_expect_is": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_completion.py_os_is_expect_exists.return.shutil_which_expect_is", "embedding": null, "metadata": {"file_path": "tests/test_completion.py", "file_name": "test_completion.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 23, "span_ids": ["is_expect_exists", "docstring"], "tokens": 133}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import os\nimport re\nimport shutil\nimport subprocess\nimport sys\nfrom pathlib import Path\nfrom typing import List\n\nfrom packaging import version\nfrom pytest import mark, param, skip, xfail\n\nfrom hydra._internal.config_loader_impl import ConfigLoaderImpl\nfrom hydra._internal.core_plugins.bash_completion import BashCompletion\nfrom hydra._internal.utils import create_config_search_path\nfrom hydra.plugins.completion_plugin import DefaultCompletionPlugin\nfrom hydra.test_utils.test_utils import chdir_hydra_root\n\nchdir_hydra_root()\n\n\ndef is_expect_exists() -> bool:\n    return shutil.which(\"expect\") is not None", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_deprecated_compose_test_deprecated_compose.None_1.with_raises_.assert_expr_compose_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_deprecated_compose_test_deprecated_compose.None_1.with_raises_.assert_expr_compose_", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 641, "end_line": 659, "span_ids": ["test_deprecated_compose"], "tokens": 126}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_deprecated_compose(hydra_restore_singletons: Any) -> None:\n    from hydra import initialize\n    from hydra.experimental import compose as expr_compose\n\n    msg = \"hydra.experimental.compose() is no longer experimental. Use hydra.compose()\"\n\n    with initialize(version_base=\"1.1\"):\n        with warns(\n            expected_warning=UserWarning,\n            match=re.escape(msg),\n        ):\n            assert expr_compose() == {}\n\n    with initialize(version_base=\"1.2\"):\n        with raises(\n            ImportError,\n            match=re.escape(msg),\n        ):\n            assert expr_compose() == {}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_deprecated_initialize_test_deprecated_initialize.with_raises_ImportError_.with_expr_initialize_.assert_compose_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_deprecated_initialize_test_deprecated_initialize.with_raises_ImportError_.with_expr_initialize_.assert_compose_", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 662, "end_line": 675, "span_ids": ["test_deprecated_initialize"], "tokens": 113}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_deprecated_initialize(hydra_restore_singletons: Any) -> None:\n    from hydra.experimental import initialize as expr_initialize\n\n    msg = \"hydra.experimental.initialize() is no longer experimental. Use hydra.initialize()\"\n\n    version.setbase(\"1.1\")\n    with warns(expected_warning=UserWarning, match=re.escape(msg)):\n        with expr_initialize():\n            assert compose() == {}\n\n    version.setbase(\"1.2\")\n    with raises(ImportError, match=re.escape(msg)):\n        with expr_initialize():\n            assert compose() == {}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_deprecated_initialize_config_dir_test_deprecated_initialize_config_dir.with_raises_.with_expr_initialize_conf.assert_compose_": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_deprecated_initialize_config_dir_test_deprecated_initialize_config_dir.with_raises_.with_expr_initialize_conf.assert_compose_", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 678, "end_line": 701, "span_ids": ["test_deprecated_initialize_config_dir"], "tokens": 157}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_deprecated_initialize_config_dir(hydra_restore_singletons: Any) -> None:\n    from hydra.experimental import initialize_config_dir as expr_initialize_config_dir\n\n    msg = \"hydra.experimental.initialize_config_dir() is no longer experimental. Use hydra.initialize_config_dir()\"\n\n    version.setbase(\"1.1\")\n    with warns(\n        expected_warning=UserWarning,\n        match=re.escape(msg),\n    ):\n        with expr_initialize_config_dir(\n            config_dir=str(Path(\".\").absolute()),\n        ):\n            assert compose() == {}\n\n    version.setbase(\"1.2\")\n    with raises(\n        ImportError,\n        match=re.escape(msg),\n    ):\n        with expr_initialize_config_dir(\n            config_dir=str(Path(\".\").absolute()),\n        ):\n            assert compose() == {}", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_deprecated_initialize_config_module_test_initialize_without_config_path.with_warns_expected_warni.with_initialize_.pass": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_compose.py_test_deprecated_initialize_config_module_test_initialize_without_config_path.with_warns_expected_warni.with_initialize_.pass", "embedding": null, "metadata": {"file_path": "tests/test_compose.py", "file_name": "test_compose.py", "file_type": "text/x-python", "category": "test", "start_line": 704, "end_line": 737, "span_ids": ["test_deprecated_initialize_config_module", "test_initialize_without_config_path"], "tokens": 255}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "def test_deprecated_initialize_config_module(hydra_restore_singletons: Any) -> None:\n    from hydra.experimental import (\n        initialize_config_module as expr_initialize_config_module,\n    )\n\n    msg = (\n        \"hydra.experimental.initialize_config_module() is no longer experimental.\"\n        \" Use hydra.initialize_config_module()\"\n    )\n\n    version.setbase(\"1.1\")\n    with warns(expected_warning=UserWarning, match=re.escape(msg)):\n        with expr_initialize_config_module(\n            config_module=\"examples.jupyter_notebooks.cloud_app.conf\",\n        ):\n            assert compose() == {}\n\n    version.setbase(\"1.2\")\n    with raises(ImportError, match=re.escape(msg)):\n        with expr_initialize_config_module(\n            config_module=\"examples.jupyter_notebooks.cloud_app.conf\",\n        ):\n            assert compose() == {}\n\n\ndef test_initialize_without_config_path(tmpdir: Path) -> None:\n    expected = dedent(\n        \"\"\"\\\n        config_path is not specified in hydra.initialize().\n        See https://hydra.cc/docs/next/upgrades/1.0_to_1.1/changes_to_hydra_main_config_path for more information.\"\"\"\n    )\n    with warns(expected_warning=UserWarning, match=re.escape(expected)):\n        with initialize():\n            pass", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_builtins_eq.if_isinstance_item1_floa.else_._type_ignore": {"__data__": {"id_": "/home/jiayipan/code/24FA/temp/ml-01/moatless-tools/t/repos/swe-train_facebookresearch__hydra/tests/test_overrides_parser.py_builtins_eq.if_isinstance_item1_floa.else_._type_ignore", "embedding": null, "metadata": {"file_path": "tests/test_overrides_parser.py", "file_name": "test_overrides_parser.py", "file_type": "text/x-python", "category": "test", "start_line": 2, "end_line": 49, "span_ids": ["parse_rule", "eq", "docstring"], "tokens": 294}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date", "start_line", "end_line", "tokens"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {}, "text": "import builtins\nimport math\nimport re\nfrom builtins import isinstance\nfrom dataclasses import dataclass\nfrom typing import Any, Callable, Dict, List, Union\n\nfrom _pytest.python_api import RaisesContext\nfrom pytest import mark, param, raises, warns\n\nfrom hydra import version\nfrom hydra._internal.grammar.functions import Functions\nfrom hydra._internal.grammar.utils import escape_special_characters\nfrom hydra.core.override_parser.overrides_parser import (\n    OverridesParser,\n    create_functions,\n)\nfrom hydra.core.override_parser.types import (\n    ChoiceSweep,\n    FloatRange,\n    Glob,\n    IntervalSweep,\n    Key,\n    Override,\n    OverrideType,\n    Quote,\n    QuotedString,\n    RangeSweep,\n    Sweep,\n    Transformer,\n    ValueType,\n)\nfrom hydra.errors import HydraException\n\nUNQUOTED_SPECIAL = r\"/-\\+.$%*@?|\"  # special characters allowed in unquoted strings\n\nparser = OverridesParser(create_functions())\n\n\ndef parse_rule(value: str, rule_name: str) -> Any:\n    return parser.parse_rule(value, rule_name)\n\n\ndef eq(item1: Any, item2: Any) -> bool:\n    if isinstance(item1, float) and isinstance(item2, float):\n        return item1 == item2 or math.isnan(item1) and math.isnan(item2)\n    else:\n        return item1 == item2  # type: ignore", "start_char_idx": null, "end_char_idx": null, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}}}
\ No newline at end of file