prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  `pd.read_feather(file)` actually reads the file twice!
  There's a really strange logic in our Feather dispatcher introduced a long time ago that reads the whole Feather file just to extract its column names:
  https://github.com/modin-project/modin/blob/632d724adb013d6f4d18aa2a4f2faa9325d324e8/modin/core/io/column_stores/feather_dispatcher.py#L55-L64
  
  Note that `.build_query_compiler(..)` launch parsing kernels that would also be reading the same parquet file but in a distributed way.
  
  We should be using more smarter way to extract feather's metadata: https://issues.apache.org/jira/browse/ARROW-10344
  
  </issue>
  <code>
  [start of modin/core/io/column_stores/feather_dispatcher.py]
  1 # Licensed to Modin Development Team under one or more contributor license agreements.
  2 # See the NOTICE file distributed with this work for additional information regarding
  3 # copyright ownership.  The Modin Development Team licenses this file to you under the
  4 # Apache License, Version 2.0 (the "License"); you may not use this file except in
  5 # compliance with the License.  You may obtain a copy of the License at
  6 #
  7 #     http://www.apache.org/licenses/LICENSE-2.0
  8 #
  9 # Unless required by applicable law or agreed to in writing, software distributed under
  10 # the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
  11 # ANY KIND, either express or implied. See the License for the specific language
  12 # governing permissions and limitations under the License.
  13 
  14 """Module houses `FeatherDispatcher` class, that is used for reading `.feather` files."""
  15 
  16 from modin.core.io.column_stores.column_store_dispatcher import ColumnStoreDispatcher
  17 from modin.utils import import_optional_dependency
  18 from modin.core.io.file_dispatcher import OpenFile
  19 
  20 
  21 class FeatherDispatcher(ColumnStoreDispatcher):
  22     """Class handles utils for reading `.feather` files."""
  23 
  24     @classmethod
  25     def _read(cls, path, columns=None, **kwargs):
  26         """
  27         Read data from the file path, returning a query compiler.
  28 
  29         Parameters
  30         ----------
  31         path : str or file-like object
  32             The filepath of the feather file.
  33         columns : array-like, optional
  34             Columns to read from file. If not provided, all columns are read.
  35         **kwargs : dict
  36             `read_feather` function kwargs.
  37 
  38         Returns
  39         -------
  40         BaseQueryCompiler
  41             Query compiler with imported data for further processing.
  42 
  43         Notes
  44         -----
  45         `PyArrow` engine and local files only are supported for now,
  46         multi threading is set to False by default.
  47         PyArrow feather is used. Please refer to the documentation here
  48         https://arrow.apache.org/docs/python/api.html#feather-format
  49         """
  50         path = cls.get_path(path)
  51         if columns is None:
  52             import_optional_dependency(
  53                 "pyarrow", "pyarrow is required to read feather files."
  54             )
  55             from pyarrow.feather import read_feather
  56 
  57             with OpenFile(
  58                 path,
  59                 **(kwargs.get("storage_options", None) or {}),
  60             ) as file:
  61                 df = read_feather(file)
  62             # pyarrow.feather.read_feather doesn't support columns as pandas.Index
  63             columns = list(df.columns)
  64         return cls.build_query_compiler(path, columns, use_threads=False)
  65
  [end of modin/core/io/column_stores/feather_dispatcher.py]
  </code>
  
  I need you to solve this issue by generating a single patch file that I can apply directly to this repository using git apply. Please respond with a single patch file in the following format.
  <patch>
  diff --git a/file.py b/file.py
  --- a/file.py
  +++ b/file.py
  @@ -1,27 +1,35 @@
   def euclidean(a, b):
  -    while b:
  -        a, b = b, a % b
  -    return a
  +    if b == 0:
  +        return a
  +    return euclidean(b, a % b)
   
   
   def bresenham(x0, y0, x1, y1):
       points = []
       dx = abs(x1 - x0)
       dy = abs(y1 - y0)
  -    sx = 1 if x0 < x1 else -1
  -    sy = 1 if y0 < y1 else -1
  -    err = dx - dy
  +    x, y = x0, y0
  +    sx = -1 if x0 > x1 else 1
  +    sy = -1 if y0 > y1 else 1
   
  -    while True:
  -        points.append((x0, y0))
  -        if x0 == x1 and y0 == y1:
  -            break
  -        e2 = 2 * err
  -        if e2 > -dy:
  -            err -= dy
  -            x0 += sx
  -        if e2 < dx:
  -            err += dx
  -            y0 += sy
  +    if dx > dy:
  +        err = dx / 2.0
  +        while x != x1:
  +            points.append((x, y))
  +            err -= dy
  +            if err < 0:
  +                y += sy
  +                err += dx
  +            x += sx
  +    else:
  +        err = dy / 2.0
  +        while y != y1:
  +            points.append((x, y))
  +            err -= dx
  +            if err < 0:
  +                x += sx
  +                err += dy
  +            y += sy
  +
  +    points.append((x, y))
       return points
  
  </patch>
golden_diff: diff --git a/modin/core/io/column_stores/feather_dispatcher.py b/modin/core/io/column_stores/feather_dispatcher.py
  --- a/modin/core/io/column_stores/feather_dispatcher.py
  +++ b/modin/core/io/column_stores/feather_dispatcher.py
  @@ -52,13 +52,15 @@
               import_optional_dependency(
                   "pyarrow", "pyarrow is required to read feather files."
               )
  -            from pyarrow.feather import read_feather
  +            from pyarrow import ipc
   
               with OpenFile(
                   path,
                   **(kwargs.get("storage_options", None) or {}),
               ) as file:
  -                df = read_feather(file)
  -            # pyarrow.feather.read_feather doesn't support columns as pandas.Index
  -            columns = list(df.columns)
  +                # Opens the file to extract its metadata
  +                reader = ipc.open_file(file)
  +            # TODO: pyarrow's schema contains much more metadata than just column names, it also
  +            # has dtypes and index information that we could use when building a dataframe
  +            columns = reader.schema.names
           return cls.build_query_compiler(path, columns, use_threads=False)
  
verification_info: {"golden_diff": "diff --git a/modin/core/io/column_stores/feather_dispatcher.py b/modin/core/io/column_stores/feather_dispatcher.py\n--- a/modin/core/io/column_stores/feather_dispatcher.py\n+++ b/modin/core/io/column_stores/feather_dispatcher.py\n@@ -52,13 +52,15 @@\n             import_optional_dependency(\n                 \"pyarrow\", \"pyarrow is required to read feather files.\"\n             )\n-            from pyarrow.feather import read_feather\n+            from pyarrow import ipc\n \n             with OpenFile(\n                 path,\n                 **(kwargs.get(\"storage_options\", None) or {}),\n             ) as file:\n-                df = read_feather(file)\n-            # pyarrow.feather.read_feather doesn't support columns as pandas.Index\n-            columns = list(df.columns)\n+                # Opens the file to extract its metadata\n+                reader = ipc.open_file(file)\n+            # TODO: pyarrow's schema contains much more metadata than just column names, it also\n+            # has dtypes and index information that we could use when building a dataframe\n+            columns = reader.schema.names\n         return cls.build_query_compiler(path, columns, use_threads=False)\n", "issue": "`pd.read_feather(file)` actually reads the file twice!\nThere's a really strange logic in our Feather dispatcher introduced a long time ago that reads the whole Feather file just to extract its column names:\r\nhttps://github.com/modin-project/modin/blob/632d724adb013d6f4d18aa2a4f2faa9325d324e8/modin/core/io/column_stores/feather_dispatcher.py#L55-L64\r\n\r\nNote that `.build_query_compiler(..)` launch parsing kernels that would also be reading the same parquet file but in a distributed way.\r\n\r\nWe should be using more smarter way to extract feather's metadata: https://issues.apache.org/jira/browse/ARROW-10344\n", "before_files": [{"content": "# Licensed to Modin Development Team under one or more contributor license agreements.\n# See the NOTICE file distributed with this work for additional information regarding\n# copyright ownership.  The Modin Development Team licenses this file to you under the\n# Apache License, Version 2.0 (the \"License\"); you may not use this file except in\n# compliance with the License.  You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software distributed under\n# the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF\n# ANY KIND, either express or implied. See the License for the specific language\n# governing permissions and limitations under the License.\n\n\"\"\"Module houses `FeatherDispatcher` class, that is used for reading `.feather` files.\"\"\"\n\nfrom modin.core.io.column_stores.column_store_dispatcher import ColumnStoreDispatcher\nfrom modin.utils import import_optional_dependency\nfrom modin.core.io.file_dispatcher import OpenFile\n\n\nclass FeatherDispatcher(ColumnStoreDispatcher):\n    \"\"\"Class handles utils for reading `.feather` files.\"\"\"\n\n    @classmethod\n    def _read(cls, path, columns=None, **kwargs):\n        \"\"\"\n        Read data from the file path, returning a query compiler.\n\n        Parameters\n        ----------\n        path : str or file-like object\n            The filepath of the feather file.\n        columns : array-like, optional\n            Columns to read from file. If not provided, all columns are read.\n        **kwargs : dict\n            `read_feather` function kwargs.\n\n        Returns\n        -------\n        BaseQueryCompiler\n            Query compiler with imported data for further processing.\n\n        Notes\n        -----\n        `PyArrow` engine and local files only are supported for now,\n        multi threading is set to False by default.\n        PyArrow feather is used. Please refer to the documentation here\n        https://arrow.apache.org/docs/python/api.html#feather-format\n        \"\"\"\n        path = cls.get_path(path)\n        if columns is None:\n            import_optional_dependency(\n                \"pyarrow\", \"pyarrow is required to read feather files.\"\n            )\n            from pyarrow.feather import read_feather\n\n            with OpenFile(\n                path,\n                **(kwargs.get(\"storage_options\", None) or {}),\n            ) as file:\n                df = read_feather(file)\n            # pyarrow.feather.read_feather doesn't support columns as pandas.Index\n            columns = list(df.columns)\n        return cls.build_query_compiler(path, columns, use_threads=False)\n", "path": "modin/core/io/column_stores/feather_dispatcher.py"}]}