code: def execute_with_python_values_replicated(
      executable, arguments, backend
  ):
      """Execute on many replicas with Python values as arguments and output.
  
      Args:
        executable: the program to run.
        arguments: a list of lists of Python values indexed by `[replica][arg_num]`
          to pass as inputs.
        backend: the backend we are targeting.
  
      Returns:
        A list of python values, one per replica.
      """
      devices = executable.local_devices()
  
      # pylint: disable=g-complex-comprehension
      def copy_to_devices(pyvals):
          return [
              backend.buffer_from_pyval(v, d)
              for v, d in zip(pyvals, devices)
          ]
  
      inputs = [copy_to_devices(pyvals) for pyvals in zip(*arguments)]
      outputs = executable.execute_sharded_on_local_devices(inputs)
      return [[np.asarray(x) for x in xs] for xs in zip(*outputs)]
  
imports: from __future__ import annotations
  import atexit
  import contextlib
  import enum
  import gzip
  import inspect
  import logging
  import os
  import threading
  from typing import Any, List, Mapping, Optional, Sequence, Tuple, Union
  import ml_dtypes
  import numpy
  from .None import xla_extension
label_desc: Use image node_id 16 for calling a global function with example usage: execute_with_python_values_replicated(executable, arguments, backend) and returns: unknown, unknown