internlm/SWE-Fixer-Train-110K huggingface dataset:
Repository: modin-project/modin

Issue:
`Series.__getitem__` does not accept callable `key`

### Describe the problem
<!-- Describe the problem clearly here. -->
Indexing with a Series in pandas allows a function/callable as a key, provided it returns a collection.

### Source code / logs

```python
import modin.pandas as pd
s = pd.Series([1,2,3,4])
s[lambda x: x.index%2==0]
```
<!-- Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached. Try to provide a reproducible test case that is the bare minimum necessary to generate the problem. -->



Discussion:

Resolving patch:
diff --git a/modin/pandas/series.py b/modin/pandas/series.py
--- a/modin/pandas/series.py
+++ b/modin/pandas/series.py
@@ -1,6 +1,6 @@
 import numpy as np
 import pandas
-from pandas.core.common import is_bool_indexer
+from pandas.core.common import apply_if_callable, is_bool_indexer
 from pandas.core.dtypes.common import (
     is_dict_like,
     is_list_like,
@@ -163,6 +163,7 @@ def __floordiv__(self, right):
         return self.floordiv(right)
 
     def _getitem(self, key):
+        key = apply_if_callable(key, self)
         if isinstance(key, Series) and key.dtype == np.bool:
             # This ends up being significantly faster than looping through and getting
             # each item individually.


Test patch:
diff --git a/modin/pandas/test/test_series.py b/modin/pandas/test/test_series.py
--- a/modin/pandas/test/test_series.py
+++ b/modin/pandas/test/test_series.py
@@ -154,6 +154,15 @@ def test_accessing_index_element_as_property():
         _ = s.d
 
 
+@pytest.mark.parametrize("data", test_data_values, ids=test_data_keys)
+def test_callable_key_in_getitem(data):
+    modin_series, pandas_series = create_test_series(data)
+    df_equals(
+        modin_series[lambda s: s.index % 2 == 0],
+        pandas_series[lambda s: s.index % 2 == 0],
+    )
+
+
 @pytest.mark.parametrize("data", test_data_values, ids=test_data_keys)
 def test_T(data):
     modin_series, pandas_series = create_test_series(data)
Repository: modin-project/modin

Issue:
[Ray] Secure Redis ports
Currently Ray's Redis ports are not secured by default which is a problem on systems exposed to the internet.

 Once ray-project/ray#2952 is merged, I recommend securing Redis ports with `ray.init(redis_password=password)` where `password` is securely generated e.g. by using the [secrets module](https://docs.python.org/3.6/library/secrets.html).


Discussion:

Resolving patch:
diff --git a/modin/pandas/__init__.py b/modin/pandas/__init__.py
--- a/modin/pandas/__init__.py
+++ b/modin/pandas/__init__.py
@@ -130,15 +130,19 @@ def initialize_ray():
 
     """Initializes ray based on environment variables and internal defaults."""
     if threading.current_thread().name == "MainThread":
+        import secrets
+
         plasma_directory = None
         cluster = os.environ.get("MODIN_RAY_CLUSTER", None)
         redis_address = os.environ.get("MODIN_REDIS_ADDRESS", None)
+        redis_password = secrets.token_hex(16)
         if cluster == "True" and redis_address is not None:
             # We only start ray in a cluster setting for the head node.
             ray.init(
                 include_webui=False,
                 ignore_reinit_error=True,
                 redis_address=redis_address,
+                redis_password=redis_password,
                 logging_level=100,
             )
         elif cluster is None:
@@ -171,6 +175,7 @@ def initialize_ray():
                 plasma_directory=plasma_directory,
                 object_store_memory=object_store_memory,
                 redis_address=redis_address,
+                redis_password=redis_password,
                 logging_level=100,
                 memory=object_store_memory,
             )


Test patch:
Repository: modin-project/modin

Issue:
Connect CI (GitHub Actions) to internal infra 

<!--
You can obtain the Modin version with

python -c "import modin; print(modin.__version__)"
-->

### Describe the problem
<!-- Describe the problem clearly here. -->
Explore connecting TeamCity to GitHub Actions


Discussion:
TeamCity CI was added to modin-project and it is executed on new pull requests. There is one problem that build logs are located on a server not accessible from the public Internet.

Resolving patch:
diff --git a/ci/teamcity/comment_on_pr.py b/ci/teamcity/comment_on_pr.py
new file mode 100644
--- /dev/null
+++ b/ci/teamcity/comment_on_pr.py
@@ -0,0 +1,49 @@
+"""
+Post the comment like the following to the PR:
+```
+:robot: TeamCity test results bot :robot:
+
+<Logs from pytest>
+```
+"""
+
+from github import Github
+import os
+import sys
+
+# Check if this is a pull request or not based on the environment variable
+try:
+    pr_id = int(os.environ["GITHUB_PR_NUMBER"].split("/")[-1])
+except Exception:
+    sys.exit(0)
+header = """
+<h2 align="center">:robot: TeamCity test results bot :robot:</h2>
+
+"""
+
+pytest_outputs = ["ray_tests.log", "dask_tests.log", "python_tests.log"]
+
+full_comment = header
+
+for out in pytest_outputs:
+
+    full_comment += "<details><summary>{} Tests</summary>\n".format(
+        out.split("_")[0].title()
+    )
+    full_comment += "\n\n```\n"
+    full_comment += open(out, "r").read()
+    full_comment += "\n```\n\n</details>\n"
+
+token = os.environ["GITHUB_TOKEN"]
+g = Github(token)
+repo = g.get_repo("modin-project/modin")
+
+pr = repo.get_pull(pr_id)
+if any(i.user.login == "modin-bot" for i in pr.get_issue_comments()):
+    pr_comment_list = [
+        i for i in list(pr.get_issue_comments()) if i.user.login == "modin-bot"
+    ]
+    assert len(pr_comment_list) == 1, "Too many comments from modin-bot already"
+    pr_comment_list[0].edit(full_comment)
+else:
+    pr.create_issue_comment(full_comment)


Test patch:
Repository: modin-project/modin

Issue:
Update pandas version to 1.0.3



Discussion:

Resolving patch:
diff --git a/modin/pandas/__init__.py b/modin/pandas/__init__.py
--- a/modin/pandas/__init__.py
+++ b/modin/pandas/__init__.py
@@ -1,6 +1,6 @@
 import pandas
 
-__pandas_version__ = "1.0.1"
+__pandas_version__ = "1.0.3"
 
 if pandas.__version__ != __pandas_version__:
     import warnings
diff --git a/setup.py b/setup.py
--- a/setup.py
+++ b/setup.py
@@ -16,7 +16,7 @@
     url="https://github.com/modin-project/modin",
     long_description=long_description,
     long_description_content_type="text/markdown",
-    install_requires=["pandas==1.0.1", "packaging"],
+    install_requires=["pandas==1.0.3", "packaging"],
     extras_require={
         # can be installed by pip install modin[dask]
         "dask": dask_deps,


Test patch:
diff --git a/df_test_requires.txt b/df_test_requires.txt
--- a/df_test_requires.txt
+++ b/df_test_requires.txt
@@ -1,4 +1,4 @@
-pandas==1.0.1
+pandas==1.0.3
 numpy
 psutil==5.6.6
 pytest
diff --git a/windows_test_requires.txt b/windows_test_requires.txt
--- a/windows_test_requires.txt
+++ b/windows_test_requires.txt
@@ -1,4 +1,4 @@
-pandas==1.0.1
+pandas==1.0.3
 numpy
 pyarrow>=0.13.0
 dask[complete]>=2.1.0
Repository: modin-project/modin

Issue:
Update Ray version to 0.8.3
Blocked on the release of ray 0.8.3

We cannot upgrade to 0.8.2 because of issue https://github.com/ray-project/ray/issues/7296.


Discussion:
What except of changing the dependency might be needed here?
@foxel Ray has not yet released 0.8.3: https://github.com/ray-project/ray/releases
Yes, it is planned for next week the week of March 22. 
Thanks @simon-mo looking forward to it!
Ray 0.8.3 is out now.

Resolving patch:
diff --git a/modin/__init__.py b/modin/__init__.py
--- a/modin/__init__.py
+++ b/modin/__init__.py
@@ -59,7 +59,7 @@ def get_execution_engine():
                 except ImportError:
                     pass
                 else:
-                    if version.parse(ray.__version__) != version.parse("0.8.0"):
+                    if version.parse(ray.__version__) != version.parse("0.8.3"):
                         raise ImportError(
                             "Please `pip install modin[ray]` to install compatible Ray version."
                         )
diff --git a/modin/pandas/__init__.py b/modin/pandas/__init__.py
--- a/modin/pandas/__init__.py
+++ b/modin/pandas/__init__.py
@@ -86,7 +86,6 @@
 )
 import threading
 import os
-import types
 import sys
 import multiprocessing
 
@@ -197,9 +196,6 @@ def initialize_ray():
                 logging_level=100,
                 memory=object_store_memory,
             )
-        # Register custom serializer for method objects to avoid warning message.
-        # We serialize `MethodType` objects when we use AxisPartition operations.
-        ray.register_custom_serializer(types.MethodType, use_pickle=True)
 
         # Register a fix import function to run on all_workers including the driver.
         # This is a hack solution to fix #647, #746
diff --git a/setup.py b/setup.py
--- a/setup.py
+++ b/setup.py
@@ -5,7 +5,7 @@
     long_description = fh.read()
 
 dask_deps = ["dask>=2.1.0", "distributed>=2.3.2"]
-ray_deps = ["ray==0.8.0"]
+ray_deps = ["ray==0.8.3"]
 
 setup(
     name="modin",


Test patch:
Repository: modin-project/modin

Issue:
Race condition on imports with Ray
On Ray 0.8.3, there is a race condition that will break the imports. Relevant thread in the Ray repo: ray-project/ray#7879


Discussion:

Resolving patch:
diff --git a/modin/pandas/__init__.py b/modin/pandas/__init__.py
--- a/modin/pandas/__init__.py
+++ b/modin/pandas/__init__.py
@@ -226,6 +226,14 @@ def move_stdlib_ahead_of_site_packages(*args):
             move_stdlib_ahead_of_site_packages
         )
 
+        # Register a fix to import pandas on all workers before running tasks.
+        # This prevents a race condition between two threads deserializing functions
+        # and trying to import pandas at the same time.
+        def import_pandas(*args):
+            import pandas  # noqa F401
+
+        ray.worker.global_worker.run_function_on_all_workers(import_pandas)
+
 
 if execution_engine == "Ray":
     import ray


Test patch:
Repository: modin-project/modin

Issue:
pip install modin[all] should choose what to install based on the OS
When a Windows user runs `pip install modin[all]` it will not work because Ray does not have any Windows releases. We should still support `pip install modin[all]` in Windows.



Discussion:
This requires uploading wheels based on the OS. setup.py will have to be updated to handle this.

Resolving patch:
diff --git a/setup.py b/setup.py
--- a/setup.py
+++ b/setup.py
@@ -1,18 +1,60 @@
 from setuptools import setup, find_packages
 import versioneer
+import os
+from setuptools.dist import Distribution
+
+try:
+    from wheel.bdist_wheel import bdist_wheel
+
+    HAS_WHEEL = True
+except ImportError:
+    HAS_WHEEL = False
 
 with open("README.md", "r") as fh:
     long_description = fh.read()
 
+if HAS_WHEEL:
+
+    class ModinWheel(bdist_wheel):
+        def finalize_options(self):
+            bdist_wheel.finalize_options(self)
+            self.root_is_pure = False
+
+        def get_tag(self):
+            _, _, plat = bdist_wheel.get_tag(self)
+            py = "py3"
+            abi = "none"
+            return py, abi, plat
+
+
+class ModinDistribution(Distribution):
+    def __init__(self, *attrs):
+        Distribution.__init__(self, *attrs)
+        if HAS_WHEEL:
+            self.cmdclass["bdist_wheel"] = ModinWheel
+
+    def is_pure(self):
+        return False
+
+
 dask_deps = ["dask>=2.1.0", "distributed>=2.3.2"]
 ray_deps = ["ray==0.8.3"]
+if "SETUP_PLAT_NAME" in os.environ:
+    if "win" in os.environ["SETUP_PLAT_NAME"]:
+        all_deps = dask_deps
+    else:
+        all_deps = dask_deps + ray_deps
+else:
+    all_deps = dask_deps if os.name == "nt" else dask_deps + ray_deps
 
 setup(
     name="modin",
     version=versioneer.get_version(),
     cmdclass=versioneer.get_cmdclass(),
+    distclass=ModinDistribution,
     description="Modin: Make your pandas code run faster by changing one line of code.",
     packages=find_packages(),
+    license="Apache 2",
     url="https://github.com/modin-project/modin",
     long_description=long_description,
     long_description_content_type="text/markdown",
@@ -21,7 +63,7 @@
         # can be installed by pip install modin[dask]
         "dask": dask_deps,
         "ray": ray_deps,
-        "all": dask_deps + ray_deps,
+        "all": all_deps,
     },
     python_requires=">=3.5",
 )


Test patch:
Repository: modin-project/modin

Issue:
Pyarrow 0.17 API changes break master build
We should pin to 0.16 until we can fix/update the changes.


Discussion:

Resolving patch:
diff --git a/setup.py b/setup.py
--- a/setup.py
+++ b/setup.py
@@ -38,7 +38,7 @@ def is_pure(self):
 
 
 dask_deps = ["dask>=2.1.0", "distributed>=2.3.2"]
-ray_deps = ["ray==0.8.3"]
+ray_deps = ["ray==0.8.3", "pyarrow<0.17"]
 if "SETUP_PLAT_NAME" in os.environ:
     if "win" in os.environ["SETUP_PLAT_NAME"]:
         all_deps = dask_deps


Test patch:
diff --git a/windows_test_requires.txt b/windows_test_requires.txt
--- a/windows_test_requires.txt
+++ b/windows_test_requires.txt
@@ -1,6 +1,6 @@
 pandas==1.0.3
 numpy
-pyarrow>=0.13.0
+pyarrow<0.17
 dask[complete]>=2.1.0
 distributed>=2.3.2
 psutil==5.6.6
Repository: modin-project/modin

Issue:
Test with Ray 0.8.4 and update version
Ray 0.8.4 was released: https://github.com/ray-project/ray/tree/ray-0.8.4, we should test performance and update version.


Discussion:

Resolving patch:
diff --git a/modin/__init__.py b/modin/__init__.py
--- a/modin/__init__.py
+++ b/modin/__init__.py
@@ -54,7 +54,7 @@ def get_execution_engine():
                 except ImportError:
                     pass
                 else:
-                    if version.parse(ray.__version__) != version.parse("0.8.3"):
+                    if version.parse(ray.__version__) != version.parse("0.8.4"):
                         raise ImportError(
                             "Please `pip install modin[ray]` to install compatible Ray version."
                         )
diff --git a/setup.py b/setup.py
--- a/setup.py
+++ b/setup.py
@@ -38,7 +38,7 @@ def is_pure(self):
 
 
 dask_deps = ["dask>=2.1.0", "distributed>=2.3.2"]
-ray_deps = ["ray==0.8.3", "pyarrow<0.17"]
+ray_deps = ["ray==0.8.4", "pyarrow<0.17"]
 if "SETUP_PLAT_NAME" in os.environ:
     if "win" in os.environ["SETUP_PLAT_NAME"]:
         all_deps = dask_deps


Test patch:
Repository: modin-project/modin

Issue:
nbytes function implementation



Discussion:

Resolving patch:
diff --git a/modin/pandas/series.py b/modin/pandas/series.py
--- a/modin/pandas/series.py
+++ b/modin/pandas/series.py
@@ -1271,11 +1271,10 @@ def is_unique(df):
 
     @property
     def nbytes(self):
-        # We cannot default to pandas without a named function to call.
-        def nbytes(df):
-            return df.nbytes
-
-        return self._default_to_pandas(nbytes)
+        """
+        Returns the number of bytes in the containing data.
+        """
+        return self.memory_usage(index=False)
 
     @property
     def ndim(self):


Test patch:
diff --git a/modin/pandas/test/test_series.py b/modin/pandas/test/test_series.py
--- a/modin/pandas/test/test_series.py
+++ b/modin/pandas/test/test_series.py
@@ -1786,8 +1786,7 @@ def test_name(data):
 @pytest.mark.parametrize("data", test_data_values, ids=test_data_keys)
 def test_nbytes(data):
     modin_series, pandas_series = create_test_series(data)
-    with pytest.warns(UserWarning):
-        assert modin_series.nbytes == pandas_series.nbytes
+    assert modin_series.nbytes == pandas_series.nbytes
 
 
 @pytest.mark.parametrize("data", test_data_values, ids=test_data_keys)
Repository: modin-project/modin

Issue:
Series.name is unset when Series.to_csv function is called
### System information
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**:

Windows 10

- **Modin version** (`modin.__version__`):

0.7.2+84.ga174016.dirty

- **Python version**:

Python 3.7.7

- **Code we can use to reproduce**:

```python
if __name__ == "__main__":
    import modin.pandas as pd

    df = pd.DataFrame([[1, 1.1, 10],
                       [2, 4.4, 20],
                       [3, 7.7, 30]],
                      index=[1, 2, 3],
                      columns=['id', 'max_speed', 'health'])
    s = df['id']
    print(s)
    print(s.name)
    s.to_csv("test.csv", index=False)
    print(s)
    print(s.name)
```

<!--
You can obtain the Modin version with

python -c "import modin; print(modin.__version__)"
-->

### Describe the problem
<!-- Describe the problem clearly here. -->

On Modin `s.name` is None after call to `s.to_csv`.

### Source code / logs
<!-- Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached. Try to provide a reproducible test case that is the bare minimum necessary to generate the problem. -->



Discussion:

Resolving patch:
diff --git a/modin/pandas/series.py b/modin/pandas/series.py
--- a/modin/pandas/series.py
+++ b/modin/pandas/series.py
@@ -76,6 +76,9 @@ def __init__(
             )
             if name is None:
                 name = "__reduced__"
+                if isinstance(data, pandas.Series) and data.name is not None:
+                    name = data.name
+
             query_compiler = from_pandas(
                 pandas.DataFrame(
                     pandas.Series(


Test patch:
diff --git a/modin/pandas/test/test_io.py b/modin/pandas/test/test_io.py
--- a/modin/pandas/test/test_io.py
+++ b/modin/pandas/test/test_io.py
@@ -1044,7 +1044,7 @@ def test_to_clipboard():
     assert modin_as_clip.equals(pandas_as_clip)
 
 
-def test_to_csv():
+def test_dataframe_to_csv():
     modin_df = create_test_ray_dataframe()
     pandas_df = create_test_pandas_dataframe()
 
@@ -1060,6 +1060,26 @@ def test_to_csv():
     teardown_test_file(TEST_CSV_DF_FILENAME)
 
 
+def test_series_to_csv():
+    modin_df = create_test_ray_dataframe()
+    pandas_df = create_test_pandas_dataframe()
+
+    TEST_CSV_DF_FILENAME = "test_df.csv"
+    TEST_CSV_pandas_FILENAME = "test_pandas.csv"
+
+    modin_s = modin_df["col1"]
+    pandas_s = pandas_df["col1"]
+    modin_s.to_csv(TEST_CSV_DF_FILENAME)
+    pandas_s.to_csv(TEST_CSV_pandas_FILENAME)
+
+    assert modin_df_equals_pandas(modin_s, pandas_s)
+    assert modin_s.name == pandas_s.name
+    assert assert_files_eq(TEST_CSV_DF_FILENAME, TEST_CSV_pandas_FILENAME)
+
+    teardown_test_file(TEST_CSV_pandas_FILENAME)
+    teardown_test_file(TEST_CSV_DF_FILENAME)
+
+
 @pytest.mark.skip(reason="Defaulting to Pandas")
 def test_to_dense():
     modin_df = create_test_ray_dataframe()
Repository: modin-project/modin

Issue:
ravel function implementation



Discussion:

Resolving patch:
diff --git a/modin/pandas/series.py b/modin/pandas/series.py
--- a/modin/pandas/series.py
+++ b/modin/pandas/series.py
@@ -867,7 +867,20 @@ def prod(
     radd = add
 
     def ravel(self, order="C"):
-        return self._default_to_pandas(pandas.Series.ravel, order=order)
+        """
+        Returns the flattened containing data as ndarray.
+
+        Parameters
+        ----------
+        order : {'C', 'F', 'A', 'K'}, optional
+
+        Returns
+        ----------
+        numpy.ndarray or ndarray-like
+            Flattened data of the Series.
+
+        """
+        return self._query_compiler.to_numpy().flatten(order=order)
 
     def reindex(self, index=None, **kwargs):
         method = kwargs.pop("method", None)


Test patch:
diff --git a/modin/pandas/test/test_series.py b/modin/pandas/test/test_series.py
--- a/modin/pandas/test/test_series.py
+++ b/modin/pandas/test/test_series.py
@@ -1948,10 +1948,12 @@ def test_rank(data, na_option):
 
 
 @pytest.mark.parametrize("data", test_data_values, ids=test_data_keys)
-def test_ravel(data):
+@pytest.mark.parametrize("order", [None, "C", "F", "A", "K"])
+def test_ravel(data, order):
     modin_series, pandas_series = create_test_series(data)
-    with pytest.warns(UserWarning):
-        np.testing.assert_equal(modin_series.ravel(), pandas_series.ravel())
+    np.testing.assert_equal(
+        modin_series.ravel(order=order), pandas_series.ravel(order=order)
+    )
 
 
 @pytest.mark.parametrize("data", test_data_values, ids=test_data_keys)
Repository: modin-project/modin

Issue:
Switch TeamCity CI tests to run in docker containers
**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. What kind of performance improvements would you like to see with this new API?

Ray provides docker images in its repository https://github.com/ray-project/ray/tree/master/docker
so Ray is able to run inside of containers. Python and Dask have no problems with this. We can use Ray images as base environment to run Modin tests inside of containers.


Discussion:

Resolving patch:
diff --git a/ci/teamcity/build-docker.py b/ci/teamcity/build-docker.py
new file mode 100644
--- /dev/null
+++ b/ci/teamcity/build-docker.py
@@ -0,0 +1,36 @@
+import os
+import sys
+
+
+def execute_command(cmd):
+    status = os.system(cmd)
+    ec = os.WEXITSTATUS(status)
+    if ec != 0:
+        raise SystemExit('Command "{}" failed'.format(cmd))
+
+
+if sys.platform.startswith("linux"):
+    execute_command("git rev-parse HEAD > git-rev")
+    execute_command(
+        "(cd ../.. && git archive -o ci/teamcity/modin.tar $(cat ci/teamcity/git-rev))"
+    )
+    base_image = "ray-project/deploy"
+    requirements = "requirements.txt"
+    execute_command(
+        "docker build -f Dockerfile.modin-base --build-arg BASE_IMAGE={} -t modin-project/modin-base .".format(
+            base_image
+        )
+    )
+else:
+    raise SystemExit(
+        "TeamCity CI in Docker containers is supported only on Linux at the moment."
+    )
+
+execute_command(
+    "docker build -f Dockerfile.teamcity-ci --build-arg REQUIREMENTS={} -t modin-project/teamcity-ci .".format(
+        requirements
+    )
+)
+
+if sys.platform.startswith("linux"):
+    execute_command("rm ./modin.tar ./git-rev")


Test patch: