code: def read_json(url_path, engine="auto", **kwargs):
      """Read JSON data into a :class:`.DataFrame`.
  
      This function wraps :func:`dask.dataframe.read_json`, and passes
      ``engine=partial(cudf.read_json, engine="auto")`` by default.
  
      Parameters
      ----------
      url_path : str, list of str
          Location to read from. If a string, can include a glob character to
          find a set of file names.
          Supports protocol specifications such as ``"s3://"``.
      engine : str or Callable, default "auto"
  
          If str, this value will be used as the ``engine`` argument
          when :func:`cudf.read_json` is used to create each partition.
          If a :obj:`~typing.Callable`, this value will be used as the
          underlying function used to create each partition from JSON
          data. The default value is "auto", so that
          ``engine=partial(cudf.read_json, engine="auto")`` will be
          passed to :func:`dask.dataframe.read_json` by default.
  
      **kwargs :
          Key-word arguments to pass through to :func:`dask.dataframe.read_json`.
  
      Returns
      -------
      :class:`.DataFrame`
  
      Examples
      --------
      Load single file
  
      >>> from dask_cudf import read_json
      >>> read_json('myfile.json')  # doctest: +SKIP
  
      Load large line-delimited JSON files using partitions of approx
      256MB size
  
      >>> read_json('data/file*.csv', blocksize=2**28)  # doctest: +SKIP
  
      Load nested JSON data
  
      >>> read_json('myfile.json')  # doctest: +SKIP
  
      See Also
      --------
      dask.dataframe.read_json
  
      """
  
      # TODO: Add optimized code path to leverage the
      # `byte_range` argument in `cudf.read_json` for
      # local storage (see `dask_cudf.read_csv`)
      return _default_backend(
          dask.dataframe.read_json,
          url_path,
          engine=(
              partial(cudf.read_json, engine=engine)
              if isinstance(engine, str)
              else engine
          ),
          **kwargs,
      )
  
imports: from functools import partial
  import dask
  import cudf
  from dask_cudf.backends import _default_backend
label_desc: Use image node_id 1 for calling a global function with example usage: read_json(url_path, engine) and returns: _default_backend