code: def _set_spawn_exe_path():
      """Set the path to the executable for spawned processes.
  
      This utility searches for the binary the parent process is using, and sets
      the executable of multiprocessing's context accordingly.
      It is branched from tensorflow/python/distribute/multi_process_lib.py, the
      only change being that it additionally looks under "org_tensorflow_privacy".
      """
      if sys.argv[0].endswith(".py"):
  
          def guess_path(package_root):
              # If all we have is a python module path, we'll need to make a guess for
              # the actual executable path.
              if (
                  "bazel-out" in sys.argv[0]
                  and package_root in sys.argv[0]
              ):
                  # Guess the binary path under bazel. For target
                  # //tensorflow/python/distribute:input_lib_test_multiworker_gpu, the
                  # argv[0] is in the form of
                  # /.../tensorflow/python/distribute/input_lib_test.py
                  # and the binary is
                  # /.../tensorflow/python/distribute/input_lib_test_multiworker_gpu
                  package_root_base = sys.argv[0][
                      : sys.argv[0].rfind(package_root)
                  ]
                  binary = os.environ["TEST_TARGET"][2:].replace(
                      ":", "/", 1
                  )
                  possible_path = os.path.join(
                      package_root_base, package_root, binary
                  )
                  if os.access(possible_path, os.X_OK):
                      return possible_path
              return None
  
          path = (
              guess_path("org_tensorflow")
              or guess_path("org_keras")
              or guess_path("org_tensorflow_privacy")
          )
          if path is not None:
              sys.argv[0] = path
              multiprocessing.get_context().set_executable(sys.argv[0])
  
file_path: privacy/tensorflow_privacy/privacy/optimizers/dp_optimizer_keras_sparse_distributed_test.py
imports: import contextlib
  import multiprocessing
  import os
  import sys
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_privacy.privacy.optimizers import dp_optimizer_keras_sparse
label_desc: Use image node_id 1 for calling a global function with example usage: _set_spawn_exe_path() and returns: None, possible_path