code: def _open_input_files(
      paths,
      fs=None,
      context_stack=None,
      open_file_func=None,
      precache_options=None,
      **kwargs,
  ):
      """Return a list of open-file objects given
      a list of input-file paths.
  
      WARNING: This utility is experimental, and is meant
      for internal ``dask.dataframe`` use only.
  
      Parameters
      ----------
      paths : list(str)
          Remote or local path of the parquet file
      fs : fsspec object, optional
          File-system instance to use for file handling
      context_stack : contextlib.ExitStack, Optional
          Context manager to use for open files.
      open_file_func : callable, optional
          Callable function to use for file opening. If this argument
          is specified, ``open_file_func(path, **kwargs)`` will be used
          to open each file in ``paths``. Default is ``fs.open``.
      precache_options : dict, optional
          Dictionary of key-word arguments to use for precaching.
          If ``precache_options`` contains ``{"method": "parquet"}``,
          ``fsspec.parquet.open_parquet_file`` will be used for remote
          storage.
      **kwargs :
          Key-word arguments to pass to the appropriate open function
      """
      # Use call-back function if specified
      if open_file_func is not None:
          return [
              _set_context(
                  open_file_func(path, **kwargs), context_stack
              )
              for path in paths
          ]
  
      # Check if we are using `fsspec.parquet`.
      # In the future, fsspec should be able to handle
      # `{"method": "parquet"}`. However, for now we
      # will redirect to `open_parquet_file` manually
      precache_options = (precache_options or {}).copy()
      precache = precache_options.pop("method", None)
      if (
          precache == "parquet"
          and fs is not None
          and not _is_local_fs(fs)
          and parse_version(fsspec.__version__)
          > parse_version("2021.11.0")
      ):
          kwargs.update(precache_options)
          row_groups = kwargs.pop("row_groups", None) or (
              [None] * len(paths)
          )
          cache_type = kwargs.pop("cache_type", "parts")
          if cache_type != "parts":
              raise ValueError(
                  f"'parts' `cache_type` required for 'parquet' precaching,"
                  f" got {cache_type}."
              )
          return [
              _set_context(
                  fsspec_parquet.open_parquet_file(
                      path,
                      fs=fs,
                      row_groups=rgs,
                      **kwargs,
                  ),
                  context_stack,
              )
              for path, rgs in zip(paths, row_groups)
          ]
      elif fs is not None:
          return [
              _set_context(fs.open(path, **kwargs), context_stack)
              for path in paths
          ]
      return [
          _set_context(open(path, **kwargs), context_stack)
          for path in paths
      ]
  
imports: from __future__ import annotations
  import json
  from typing import Protocol, runtime_checkable
  from uuid import uuid4
  import fsspec
  import pandas
  from fsspec.implementations.local import LocalFileSystem
  from packaging.version import parse
label_desc: Use image node_id 7 for calling a global function with example usage: _open_input_files(paths, fs, context_stack, open_file_func, precache_options) and returns: unknown, unknown, unknown, unknown