code: def _execute_and_compute_jvp(
      tapes, execute_fn, jpc, primals, tangents
  ):
      """Compute the results and jvps for ``tapes`` with ``primals[0]`` parameters via
      ``jpc``.
      """
      new_tapes = set_parameters_on_copy_and_unwrap(
          tapes.vals, primals[0], unwrap=False
      )
      res, jvps = jpc.execute_and_compute_jvp(new_tapes, tangents[0])
      return _to_jax(res), _to_jax(jvps)
  
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 6 for calling a global function with example usage: _execute_and_compute_jvp(tapes, execute_fn, jpc, primals, tangents) and returns: _to_jax,  _to_jax