code: def _execute_wrapper(params, tapes, execute_fn, jpc) -> ResultBatch:
      """Executes ``tapes`` with ``params`` via ``execute_fn``"""
      new_tapes = set_parameters_on_copy_and_unwrap(
          tapes.vals, params, unwrap=False
      )
      return _to_jax(execute_fn(new_tapes))
  
file_path: pennylane/pennylane/workflow/interfaces/jax.py
imports: import logging
  from typing import Tuple, Callable
  import dataclasses
  import jax
  import jax.numpy
  import pennylane
  from pennylane.transforms import convert_to_numpy_parameters
  from pennylane.typing import ResultBatch
label_desc: Use image node_id 5 for calling a global function with example usage: _execute_wrapper(params, tapes, execute_fn, jpc) and returns: _to_jax