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

Issue:
[REFACTOR] Do not default to pandas in API level for reset_index
### Describe the problem
We currently cannot support reset_index in OmniSci backend for multi-index case, because default_to_pandas is called on API level. We need this for NYC Taxi Q4 benchmark.



Discussion:

Resolving patch:
diff --git a/modin/backends/pandas/query_compiler.py b/modin/backends/pandas/query_compiler.py
--- a/modin/backends/pandas/query_compiler.py
+++ b/modin/backends/pandas/query_compiler.py
@@ -472,6 +472,10 @@ def reset_index(self, **kwargs):
             A new QueryCompiler with updated data and reset index.
         """
         drop = kwargs.get("drop", False)
+        level = kwargs.get("level", None)
+        # TODO Implement level
+        if level is not None or isinstance(self.index, pandas.MultiIndex):
+            return self.default_to_pandas(pandas.DataFrame.reset_index, **kwargs)
         if not drop:
             new_column_name = (
                 self.index.name
diff --git a/modin/pandas/base.py b/modin/pandas/base.py
--- a/modin/pandas/base.py
+++ b/modin/pandas/base.py
@@ -2289,20 +2289,10 @@ def reset_index(
             A new DataFrame if inplace is False, None otherwise.
         """
         inplace = validate_bool_kwarg(inplace, "inplace")
-        # TODO Implement level
-        if level is not None or isinstance(self.index, pandas.MultiIndex):
-            new_query_compiler = self._default_to_pandas(
-                "reset_index",
-                level=level,
-                drop=drop,
-                inplace=False,
-                col_level=col_level,
-                col_fill=col_fill,
-            )._query_compiler
         # Error checking for matching Pandas. Pandas does not allow you to
         # insert a dropped index into a DataFrame if these columns already
         # exist.
-        elif (
+        if (
             not drop
             and not isinstance(self.index, pandas.MultiIndex)
             and all(n in self.columns for n in ["level_0", "index"])


Test patch:
Repository: modin-project/modin

Issue:
[REFACTOR] Avoid index access in simple index reference
Currently, the base frame always accesses index in its __getitem__ method. We need to allow column references without index access.


Discussion:

Resolving patch:
diff --git a/modin/pandas/base.py b/modin/pandas/base.py
--- a/modin/pandas/base.py
+++ b/modin/pandas/base.py
@@ -3442,9 +3442,14 @@ def __getitem__(self, key):
             return self._default_to_pandas("__getitem__", key)
         # see if we can slice the rows
         # This lets us reuse code in Pandas to error check
-        indexer = convert_to_index_sliceable(
-            getattr(pandas, type(self).__name__)(index=self.index), key
-        )
+        indexer = None
+        if isinstance(key, slice) or (
+            isinstance(key, str)
+            and (not hasattr(self, "columns") or key not in self.columns)
+        ):
+            indexer = convert_to_index_sliceable(
+                getattr(pandas, type(self).__name__)(index=self.index), key
+            )
         if indexer is not None:
             return self._getitem_slice(indexer)
         else:


Test patch:
Repository: modin-project/modin

Issue:
[REFACTOR] Avoid index access in DataFrame.insert with scalar value
Currently, DataFrame.insert method expands scalar values to array accessing index to get its length. This should be moved to backend to allow lazy execution.


Discussion:

Resolving patch:
diff --git a/modin/backends/pandas/query_compiler.py b/modin/backends/pandas/query_compiler.py
--- a/modin/backends/pandas/query_compiler.py
+++ b/modin/backends/pandas/query_compiler.py
@@ -1898,6 +1898,8 @@ def insert(self, loc, column, value):
                 value = value.reindex(self.index)
             else:
                 value = list(value)
+        else:
+            value = [value] * len(self.index)
 
         def insert(df, internal_indices=[]):
             internal_idx = int(internal_indices[0])
diff --git a/modin/pandas/dataframe.py b/modin/pandas/dataframe.py
--- a/modin/pandas/dataframe.py
+++ b/modin/pandas/dataframe.py
@@ -1159,9 +1159,11 @@ def insert(self, loc, column, value, allow_duplicates=False):
                 data=value, columns=[column], index=self.index
             )._query_compiler
         else:
-            if not is_list_like(value):
-                value = np.full(len(self.index), value)
-            if not isinstance(value, pandas.Series) and len(value) != len(self.index):
+            if (
+                is_list_like(value)
+                and not isinstance(value, pandas.Series)
+                and len(value) != len(self.index)
+            ):
                 raise ValueError("Length of values does not match length of index")
             if not allow_duplicates and column in self.columns:
                 raise ValueError("cannot insert {0}, already exists".format(column))


Test patch:
Repository: modin-project/modin

Issue:
[REFACTOR] Don't call default_to_pandas in API level for groupby by a mix of column names and series
We need it for NYC Taxi Q3


Discussion:

Resolving patch:
diff --git a/modin/data_management/functions/groupby_function.py b/modin/data_management/functions/groupby_function.py
--- a/modin/data_management/functions/groupby_function.py
+++ b/modin/data_management/functions/groupby_function.py
@@ -14,6 +14,7 @@
 import pandas
 
 from .mapreducefunction import MapReduceFunction
+from modin.pandas.utils import try_cast_to_pandas
 
 
 class GroupbyReduceFunction(MapReduceFunction):
@@ -29,9 +30,13 @@ def caller(
             numeric_only=True,
             drop=False,
         ):
-            assert isinstance(
-                by, type(query_compiler)
-            ), "Can only use groupby reduce with another Query Compiler"
+            if not isinstance(by, type(query_compiler)):
+                by = try_cast_to_pandas(by)
+                return query_compiler.default_to_pandas(
+                    lambda df: map_func(
+                        df.groupby(by=by, axis=axis, **groupby_args), **map_args
+                    )
+                )
             assert axis == 0, "Can only groupby reduce with axis=0"
 
             if numeric_only:
diff --git a/modin/pandas/groupby.py b/modin/pandas/groupby.py
--- a/modin/pandas/groupby.py
+++ b/modin/pandas/groupby.py
@@ -455,17 +455,21 @@ def all(self, **kwargs):
         )
 
     def size(self):
-        if is_list_like(self._by) and any(isinstance(o, Series) for o in self._by):
-            # We don't have good way to handle this right now, fall back to Pandas.
-            return self._default_to_pandas(lambda df: df.size())
         if self._axis == 0:
             # Size always works in as_index=True mode so it is necessary to make a
             #  copy of _kwargs and change as_index in it
             kwargs = self._kwargs.copy()
             kwargs["as_index"] = True
+            # Series objects in 'by' mean we couldn't handle the case and transform
+            # 'by' to a query compiler. In this case we replace column names with
+            # actual columns to be able to apply goupby to a Series.
+            if is_list_like(self._by) and any(isinstance(o, Series) for o in self._by):
+                by = [self._df[o] if isinstance(o, str) else o for o in self._by]
+            else:
+                by = self._by
             work_object = SeriesGroupBy(
                 self._df[self._df.columns[0]],
-                self._by,
+                by,
                 self._axis,
                 drop=False,
                 idx_name=None,
@@ -653,7 +657,7 @@ def _wrap_aggregation(
         DataFrame or Series
             Returns the same type as `self._df`.
         """
-        if not isinstance(self._by, type(self._query_compiler)) or self._axis != 0:
+        if self._axis != 0:
             return self._default_to_pandas(default_func, **kwargs)
         # For aggregations, pandas behavior does this for the result.
         # For other operations it does not, so we wait until there is an aggregation to


Test patch:
Repository: modin-project/modin

Issue:
Spawning of remote cluster is broken
### Describe the problem
After #1966 was merged Ray version was pinned at 0.8.7, while `modin/experimental/cloud/rayscale.py` is not adapted to changed API. We need to fix that.
<!-- Describe the problem clearly here. -->



Discussion:

Resolving patch:
diff --git a/modin/experimental/cloud/rayscale.py b/modin/experimental/cloud/rayscale.py
--- a/modin/experimental/cloud/rayscale.py
+++ b/modin/experimental/cloud/rayscale.py
@@ -156,6 +156,10 @@ def __do_spawn(self):
                 restart_only=False,
                 yes=True,
                 override_cluster_name=None,
+                no_config_cache=False,
+                log_old_style=False,
+                log_color="auto",
+                verbose=1,
             )
             # need to re-load the config, as create_or_update_cluster() modifies it
             with open(self.config_file) as inp:
@@ -176,6 +180,9 @@ def __do_destroy(self):
                 workers_only=False,
                 override_cluster_name=None,
                 keep_min_workers=0,
+                log_old_style=False,
+                log_color="auto",
+                verbose=1,
             )
             self.ready = False
             self.config = None
diff --git a/setup.py b/setup.py
--- a/setup.py
+++ b/setup.py
@@ -39,7 +39,7 @@ def is_pure(self):
 
 dask_deps = ["dask>=2.12.0", "distributed>=2.12.0"]
 ray_deps = ["ray==0.8.7", "pyarrow<0.17"]
-remote_deps = ["rpyc", "cloudpickle", "boto3"]
+remote_deps = ["rpyc==4.1.5", "cloudpickle", "boto3==1.4.8"]
 
 all_deps = dask_deps + ray_deps + remote_deps
 


Test patch:
diff --git a/requirements/windows_test_requires.txt b/requirements/windows_test_requires.txt
--- a/requirements/windows_test_requires.txt
+++ b/requirements/windows_test_requires.txt
@@ -9,7 +9,7 @@ Jinja2
 pathlib
 tables
 scipy
-s3fs
+s3fs>=0.4.2
 pytest
 coverage<5.0
 pytest-cov
Repository: modin-project/modin

Issue:
Rename LISCENSE_HEADER to LICENSE_HEADER



Discussion:

Resolving patch:
diff --git a/modin/apply_license_header.py b/modin/apply_license_header.py
--- a/modin/apply_license_header.py
+++ b/modin/apply_license_header.py
@@ -19,7 +19,7 @@
 rootdir = dirname(abspath(__file__))
 exclude_files = ["_version.py"]
 
-with open("{}{}".format(dirname(rootdir), "/LISCENSE_HEADER"), "r") as f:
+with open("{}{}".format(dirname(rootdir), "/LICENSE_HEADER"), "r") as f:
     # Lines to check each line individually
     header_lines = f.readlines()
 


Test patch:
diff --git a/modin/test/test_headers.py b/modin/test/test_headers.py
--- a/modin/test/test_headers.py
+++ b/modin/test/test_headers.py
@@ -21,7 +21,7 @@
 
 
 def test_headers():
-    with open("{}{}".format(dirname(rootdir), "/LISCENSE_HEADER"), "r") as f:
+    with open("{}{}".format(dirname(rootdir), "/LICENSE_HEADER"), "r") as f:
         # Lines to check each line individually
         header_lines = f.readlines()
Repository: modin-project/modin

Issue:
[REFACTOR] Avoid unconditional index access in DataFrame.rename



Discussion:

Resolving patch:
diff --git a/modin/pandas/dataframe.py b/modin/pandas/dataframe.py
--- a/modin/pandas/dataframe.py
+++ b/modin/pandas/dataframe.py
@@ -2071,20 +2071,22 @@ def rename(
         if index is not None or (mapper is not None and axis == 0):
             new_index = pandas.DataFrame(index=self.index).rename(**kwargs).index
         else:
-            new_index = self.index
+            new_index = None
         if columns is not None or (mapper is not None and axis == 1):
             new_columns = (
                 pandas.DataFrame(columns=self.columns).rename(**kwargs).columns
             )
         else:
-            new_columns = self.columns
+            new_columns = None
 
         if inplace:
             obj = self
         else:
             obj = self.copy()
-        obj.index = new_index
-        obj.columns = new_columns
+        if new_index is not None:
+            obj.index = new_index
+        if new_columns is not None:
+            obj.columns = new_columns
 
         if not inplace:
             return obj


Test patch:
Repository: modin-project/modin

Issue:
Performance bug in reads from S3 
I noticed that our error checking is error checking everything on the head node. 

https://github.com/modin-project/modin/blob/cebce3e3bca9f92f53ecb4dc667654ff21b75b72/modin/engines/base/io/text/text_file_reader.py#L103-L113

This is very evident when doing reads from S3.


Discussion:

Resolving patch:
diff --git a/modin/engines/base/io/text/text_file_reader.py b/modin/engines/base/io/text/text_file_reader.py
--- a/modin/engines/base/io/text/text_file_reader.py
+++ b/modin/engines/base/io/text/text_file_reader.py
@@ -100,18 +100,19 @@ def offset(
 
         outside_quotes = True
 
-        chunk = f.read(chunk_size_bytes)
-        line = f.readline()  # Ensure we read up to a newline
-        # We need to ensure that one row isn't being split across different partitions
-
         if is_quoting:
+            chunk = f.read(chunk_size_bytes)
+            line = f.readline()  # Ensure we read up to a newline
+            # We need to ensure that one row isn't split across different partitions
             outside_quotes = not ((chunk.count(quotechar) + line.count(quotechar)) % 2)
             while not outside_quotes:
                 line = f.readline()
                 outside_quotes = line.count(quotechar) % 2
                 if not line:
                     break
-
+        else:
+            f.seek(chunk_size_bytes, os.SEEK_CUR)
+            f.readline()
         return outside_quotes
 
     @classmethod


Test patch:
Repository: modin-project/modin

Issue:
Fresh install requires pyarrow and pyarrow.gandiva
This code is run to cause this requirement:

https://github.com/modin-project/modin/blob/90adc7d7cbbb424c27f0618b94cb006af06dc5e7/modin/backends/pyarrow/query_compiler.py#L20-L21

This is not in the `setup.py` requirements, but I don't think we should add it. We should probably just wrap that in a conditional.


Discussion:
Could you please provide a simple reproducer?
This is not expected to happen after https://github.com/modin-project/modin/pull/1601
In your Python or conda environment
```
pip uninstall pyarrow
```

Then on master

```python
import modin.pandas as pd
```
If we'll uninstall pyarrow and try to import Modin we will see the following traceback:
```
>>> import modin.pandas as pd
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/localdisk/dchigare/repos/modin_bp/modin/pandas/__init__.py", line 181, in <module>
    from .concat import concat
  File "/localdisk/dchigare/repos/modin_bp/modin/pandas/concat.py", line 21, in <module>
    from modin.backends.base.query_compiler import BaseQueryCompiler
  File "/localdisk/dchigare/repos/modin_bp/modin/backends/__init__.py", line 16, in <module>
    from .pyarrow import PyarrowQueryCompiler
  File "/localdisk/dchigare/repos/modin_bp/modin/backends/pyarrow/__init__.py", line 14, in <module>
    from .query_compiler import PyarrowQueryCompiler
  File "/localdisk/dchigare/repos/modin_bp/modin/backends/pyarrow/query_compiler.py", line 20, in <module>
    import pyarrow as pa
ModuleNotFoundError: No module named 'pyarrow'
```
which tells us that root cause of the problem is this init file:
https://github.com/modin-project/modin/blob/eaa77aa72fd9fc56435a286d269ebc3baca07282/modin/backends/__init__.py#L13-L18

importing `BaseQueryCompiler` at the modin initialization stage triggers to import every query compilers that we have, which I think is incorrect, because different backends have different dependencies, and we don't want to force the users to have all of them, if he wants to use some one backend
these changes in `__init__.py` file was done to more handy importing different backends, like just:
```python
from modin.backends import PandasQueryCompiler
```
however, in reality, that works wrong, I think we should revert these changes for now

Resolving patch:
diff --git a/modin/backends/__init__.py b/modin/backends/__init__.py
--- a/modin/backends/__init__.py
+++ b/modin/backends/__init__.py
@@ -13,6 +13,11 @@
 
 from .base import BaseQueryCompiler
 from .pandas import PandasQueryCompiler
-from .pyarrow import PyarrowQueryCompiler
 
-__all__ = ["BaseQueryCompiler", "PandasQueryCompiler", "PyarrowQueryCompiler"]
+__all__ = ["BaseQueryCompiler", "PandasQueryCompiler"]
+try:
+    from .pyarrow import PyarrowQueryCompiler  # noqa: F401
+except ImportError:
+    pass
+else:
+    __all__.append("PyarrowQueryCompiler")


Test patch:
Repository: modin-project/modin

Issue:
Add packages used for working with the cluster to the conda dev environment
### System information
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**:
- **Modin version** (`modin.__version__`):
- **Python version**:
- **Code we can use to reproduce**:

<!--
You can obtain the Modin version with

python -c "import modin; print(modin.__version__)"
-->

### Describe the problem
<!-- Describe the problem clearly here. -->

### 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/setup.py b/setup.py
--- a/setup.py
+++ b/setup.py
@@ -39,7 +39,7 @@ def is_pure(self):
 
 dask_deps = ["dask>=2.12.0", "distributed>=2.12.0"]
 ray_deps = ["ray==0.8.7", "pyarrow<0.17"]
-remote_deps = ["rpyc==4.1.5", "cloudpickle", "boto3==1.4.8"]
+remote_deps = ["rpyc==4.1.5", "cloudpickle==1.4.1", "boto3==1.4.8"]
 
 all_deps = dask_deps + ray_deps + remote_deps
 


Test patch:
Repository: modin-project/modin

Issue:
Add note about braceexpand for cloud examples.
### System information
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**:
- **Modin version** (`modin.__version__`):
- **Python version**:
- **Code we can use to reproduce**:

<!--
You can obtain the Modin version with

python -c "import modin; print(modin.__version__)"
-->

### Describe the problem
<!-- Describe the problem clearly here. -->

### 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/examples/cluster/h2o-runner.py b/examples/cluster/h2o-runner.py
--- a/examples/cluster/h2o-runner.py
+++ b/examples/cluster/h2o-runner.py
@@ -12,9 +12,10 @@
 # governing permissions and limitations under the License.
 
 
-# pip install git+https://github.com/intel-go/ibis.git@develop
+# pip install git+https://github.com/intel-ai/ibis.git@develop
+# pip install braceexpand
 
-# NOTE: expects https://github.com/intel-go/omniscripts/ checked out and in PYTHONPATH
+# NOTE: expects https://github.com/intel-ai/omniscripts checked out and in PYTHONPATH
 
 # the following import turns on experimental mode in Modin,
 # including enabling running things in remote cloud
diff --git a/examples/cluster/mortgage-runner.py b/examples/cluster/mortgage-runner.py
--- a/examples/cluster/mortgage-runner.py
+++ b/examples/cluster/mortgage-runner.py
@@ -12,9 +12,10 @@
 # governing permissions and limitations under the License.
 
 
-# pip install git+https://github.com/intel-go/ibis.git@develop
+# pip install git+https://github.com/intel-ai/ibis.git@develop
+# pip install braceexpand
 
-# NOTE: expects https://github.com/intel-go/omniscripts/ checked out and in PYTHONPATH
+# NOTE: expects https://github.com/intel-ai/omniscripts checked out and in PYTHONPATH
 
 # the following import turns on experimental mode in Modin,
 # including enabling running things in remote cloud
diff --git a/examples/cluster/taxi-runner.py b/examples/cluster/taxi-runner.py
--- a/examples/cluster/taxi-runner.py
+++ b/examples/cluster/taxi-runner.py
@@ -12,9 +12,10 @@
 # governing permissions and limitations under the License.
 
 
-# pip install git+https://github.com/intel-go/ibis.git@develop
+# pip install git+https://github.com/intel-ai/ibis.git@develop
+# pip install braceexpand
 
-# NOTE: expects https://github.com/intel-go/omniscripts/ checked out and in PYTHONPATH
+# NOTE: expects https://github.com/intel-ai/omniscripts checked out and in PYTHONPATH
 
 import sys
 


Test patch:
Repository: modin-project/modin

Issue:
Missed add_conda_packages option for remote omnisci
### System information
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**:
- **Modin version** (`modin.__version__`):
- **Python version**:
- **Code we can use to reproduce**:

<!--
You can obtain the Modin version with

python -c "import modin; print(modin.__version__)"
-->

### Describe the problem
<!-- Describe the problem clearly here. -->

### 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/experimental/cloud/omnisci.py b/modin/experimental/cloud/omnisci.py
--- a/modin/experimental/cloud/omnisci.py
+++ b/modin/experimental/cloud/omnisci.py
@@ -29,11 +29,18 @@ def __init__(
         worker_count: int = 0,
         head_node_type: str = None,
         worker_node_type: str = None,
+        add_conda_packages: list = None,
     ):
         if worker_count != 0:
             warnings.warn(
                 "Current Omnisci on cloud does not support multi-node setups, not requesting worker nodes"
             )
         super().__init__(
-            provider, project_name, cluster_name, 0, head_node_type, worker_node_type
+            provider,
+            project_name,
+            cluster_name,
+            0,
+            head_node_type,
+            worker_node_type,
+            add_conda_packages,
         )


Test patch:
Repository: modin-project/modin

Issue:
Sync modin version between local and remote contexts
**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?



Discussion:

Resolving patch:
diff --git a/modin/experimental/cloud/rayscale.py b/modin/experimental/cloud/rayscale.py
--- a/modin/experimental/cloud/rayscale.py
+++ b/modin/experimental/cloud/rayscale.py
@@ -148,6 +148,8 @@ def _conda_requirements(self):
 
         reqs.extend(self._get_python_version())
 
+        reqs.append(self._get_modin_version())
+
         if self.add_conda_packages:
             reqs.extend(self.add_conda_packages)
 
@@ -169,6 +171,13 @@ def _get_python_version():
         micro = sys.version_info.micro
         return [f"python>={major}.{minor}", f"python<={major}.{minor}.{micro}"]
 
+    @staticmethod
+    def _get_modin_version():
+        from modin import __version__
+
+        # for example: 0.8.0+116.g5e50eef.dirty
+        return f"modin=={__version__.split('+')[0]}"
+
     @staticmethod
     def __save_config(config):
         cfgdir = os.path.abspath(os.path.expanduser("~/.modin/cloud"))


Test patch: