class_docstr: This class provides a way to pickle a function and its arguments.
  It also provides a way to create a script that can run a
  function with arguments if they have them pickled to a file.
  It also provides a way of extracting the conents of a pickle file.
docstr: Given a file containing a pickled function and arguments, this function will create a
  pytorch file that will execute the function and pickle the functions outputs.
  
  Parameters
  ----------
  pickled_fn_path: str
      This is the path of the file containing the pickled function, args, and kwargs.
  fn_output_path: str
      This is the location where the created file will save the pickled output of
      the function.
  script_path: str
      This is the path which will be used for the created pytorch file.
  prefix_code: str
      This contains a string that the user can pass in which will be executed before
      the code generated by this class to execute the function and save it. If
      prefix_code is the empty string, nothing will be written before the auto-
      generated code.
  suffix_code: str
      This contains a string of code that the user can pass in which will be executed
      after the code generated by this class finishes executing. If suffix_code is
      the empty string, nothing will be written after the auto-generated code.
  
  Returns
  -------
  str
      The path to the location of the newly created pytorch file.
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code: def create_fn_run_script(
      pickled_fn_path: str,
      fn_output_path: str,
      script_path: str,
      prefix_code: str = "",
      suffix_code: str = "",
  ) -> str:
      """
      Given a file containing a pickled function and arguments, this function will create a
      pytorch file that will execute the function and pickle the functions outputs.
  
      Parameters
      ----------
      pickled_fn_path: str
          This is the path of the file containing the pickled function, args, and kwargs.
      fn_output_path: str
          This is the location where the created file will save the pickled output of
          the function.
      script_path: str
          This is the path which will be used for the created pytorch file.
      prefix_code: str
          This contains a string that the user can pass in which will be executed before
          the code generated by this class to execute the function and save it. If
          prefix_code is the empty string, nothing will be written before the auto-
          generated code.
      suffix_code: str
          This contains a string of code that the user can pass in which will be executed
          after the code generated by this class finishes executing. If suffix_code is
          the empty string, nothing will be written after the auto-generated code.
  
      Returns
      -------
      str
          The path to the location of the newly created pytorch file.
      """
  
      code_snippet = textwrap.dedent(
          f"""
                      from pyspark import cloudpickle
                      import os
  
                      if __name__ == "__main__":
                          with open("{pickled_fn_path}", "rb") as f:
                              fn, args, kwargs = cloudpickle.load(f)
                          output = fn(*args, **kwargs)
                          with open("{fn_output_path}", "wb") as f:
                              cloudpickle.dump(output, f)
                      """
      )
      with open(script_path, "w") as f:
          if prefix_code != "":
              f.write(prefix_code)
          f.write(code_snippet)
          if suffix_code != "":
              f.write(suffix_code)
  
      return script_path
  
file_path: spark/python/pyspark/ml/dl_util.py
imports: import os
  import tempfile
  import textwrap
  from typing import Any, Callable
  from pyspark import cloudpickle
label_desc: Use image node_id 2 for calling the FunctionPickler obj's underlying member method code with example usage: obj.create_fn_run_script(pickled_fn_path, fn_output_path, script_path, prefix_code, suffix_code) and returns: script_path