code: def _read_file(
      filename, bbox=None, mask=None, rows=None, engine=None, **kwargs
  ):
      """
      Returns a GeoDataFrame from a file or URL.
  
      .. note::
  
          GeoPandas currently defaults to use Fiona as the engine in ``read_file``.
          However, GeoPandas 1.0 will switch to use pyogrio as the default engine, since
          pyogrio can provide a significant speedup compared to Fiona. We recommend to
          already install pyogrio and specify the engine by using the ``engine`` keyword
          (``geopandas.read_file(..., engine="pyogrio")``), or by setting the default for
          the ``engine`` keyword globally with::
  
              geopandas.options.io_engine = "pyogrio"
  
      Parameters
      ----------
      filename : str, path object or file-like object
          Either the absolute or relative path to the file or URL to
          be opened, or any object with a read() method (such as an open file
          or StringIO)
      bbox : tuple | GeoDataFrame or GeoSeries | shapely Geometry, default None
          Filter features by given bounding box, GeoSeries, GeoDataFrame or a shapely
          geometry. With engine="fiona", CRS mis-matches are resolved if given a GeoSeries
          or GeoDataFrame. With engine="pyogrio", bbox must be in the same CRS as the
          dataset. Tuple is (minx, miny, maxx, maxy) to match the bounds property of
          shapely geometry objects. Cannot be used with mask.
      mask : dict | GeoDataFrame or GeoSeries | shapely Geometry, default None
          Filter for features that intersect with the given dict-like geojson
          geometry, GeoSeries, GeoDataFrame or shapely geometry.
          CRS mis-matches are resolved if given a GeoSeries or GeoDataFrame.
          Cannot be used with bbox.
      rows : int or slice, default None
          Load in specific rows by passing an integer (first `n` rows) or a
          slice() object.
      engine : str, "fiona" or "pyogrio"
          The underlying library that is used to read the file. Currently, the
          supported options are "fiona" and "pyogrio". Defaults to "fiona" if
          installed, otherwise tries "pyogrio".
      **kwargs :
          Keyword args to be passed to the engine. In case of the "fiona" engine,
          the keyword arguments are passed to :func:`fiona.open` or
          :class:`fiona.collection.BytesCollection` when opening the file.
          For more information on possible keywords, type:
          ``import fiona; help(fiona.open)``. In case of the "pyogrio" engine,
          the keyword arguments are passed to :func:`pyogrio.read_dataframe`.
  
  
      Examples
      --------
      >>> df = geopandas.read_file("nybb.shp")  # doctest: +SKIP
  
      Specifying layer of GPKG:
  
      >>> df = geopandas.read_file("file.gpkg", layer='cities')  # doctest: +SKIP
  
      Reading only first 10 rows:
  
      >>> df = geopandas.read_file("nybb.shp", rows=10)  # doctest: +SKIP
  
      Reading only geometries intersecting ``mask``:
  
      >>> df = geopandas.read_file("nybb.shp", mask=polygon)  # doctest: +SKIP
  
      Reading only geometries intersecting ``bbox``:
  
      >>> df = geopandas.read_file("nybb.shp", bbox=(0, 0, 10, 20))  # doctest: +SKIP
  
      Returns
      -------
      :obj:`geopandas.GeoDataFrame` or :obj:`pandas.DataFrame` :
          If `ignore_geometry=True` a :obj:`pandas.DataFrame` will be returned.
  
      Notes
      -----
      The format drivers will attempt to detect the encoding of your data, but
      may fail. In this case, the proper encoding can be specified explicitly
      by using the encoding keyword parameter, e.g. ``encoding='utf-8'``.
  
      When specifying a URL, geopandas will check if the server supports reading
      partial data and in that case pass the URL as is to the underlying engine,
      which will then use the network file system handler of GDAL to read from
      the URL. Otherwise geopandas will download the data from the URL and pass
      all data in-memory to the underlying engine.
      If you need more control over how the URL is read, you can specify the
      GDAL virtual filesystem manually (e.g. ``/vsicurl/https://...``). See the
      GDAL documentation on filesystems for more details
      (https://gdal.org/user/virtual_file_systems.html#vsicurl-http-https-ftp-files-random-access).
  
      """
      engine = _check_engine(engine, "'read_file' function")
  
      filename = _expand_user(filename)
  
      from_bytes = False
      if _is_url(filename):
          # if it is a url that supports random access -> pass through to
          # pyogrio/fiona as is (to support downloading only part of the file)
          # otherwise still download manually because pyogrio/fiona don't support
          # all types of urls (https://github.com/geopandas/geopandas/issues/2908)
          with urllib.request.urlopen(filename) as response:
              if not response.headers.get("Accept-Ranges") == "bytes":
                  filename = response.read()
                  from_bytes = True
  
      if engine == "pyogrio":
          return _read_file_pyogrio(
              filename, bbox=bbox, mask=mask, rows=rows, **kwargs
          )
  
      elif engine == "fiona":
          if pd.api.types.is_file_like(filename):
              data = filename.read()
              path_or_bytes = (
                  data.encode("utf-8")
                  if isinstance(data, str)
                  else data
              )
              from_bytes = True
          else:
              path_or_bytes = filename
  
          return _read_file_fiona(
              path_or_bytes,
              from_bytes,
              bbox=bbox,
              mask=mask,
              rows=rows,
              **kwargs,
          )
  
      else:
          raise ValueError(f"unknown engine '{engine}'")
  
imports: import os
  from packaging.version import Version
  from pathlib import Path
  import warnings
  import numpy
  import pandas
  from pandas.api.types import is_integer_dtype
  import pyproj
  from shapely.geometry import mapping
  from shapely.geometry.base import BaseGeometry
  from geopandas import GeoDataFrame, GeoSeries
  from urllib.parse import urlparse
  from urllib.parse import uses_netloc, uses_params, uses_relative
  import urllib.request
  from geopandas._compat import PANDAS_GE_20
label_desc: Use image node_id 9 for calling a global function with example usage: _read_file(filename, bbox, mask, rows, engine) and returns: _read_file_pyogrio, _read_file_fiona