code: def _np_load(file_, mmap_mode=None, allow_pickle=False, **kwargs):
      if not hasattr(file_, "read"):
          raise AssertionError(
              "You MUST pass a `tf.io.gfile.GFile` or file-like object to `np.load`."
          )
      if allow_pickle:
          raise AssertionError(
              "Unpicling files is forbidden for security reasons."
          )
      return _ORGINAL_NP_LOAD(file_, mmap_mode, allow_pickle, **kwargs)
  
imports: import collections
  import contextlib
  import difflib
  import hashlib
  import itertools
  import numbers
  import os
  import textwrap
  from typing import Iterator, List, Mapping, Optional, Union
  from unittest import mock
  from absl import logging
  from absl.testing import parameterized
  from etils import epath
  import numpy
  from tensorflow_datasets.core import dataset_builder
  from tensorflow_datasets.core import dataset_info
  from tensorflow_datasets.core import dataset_metadata
  from tensorflow_datasets.core import dataset_utils
  from tensorflow_datasets.core import download
  from tensorflow_datasets.core import load
  from tensorflow_datasets.core import utils
  from tensorflow_datasets.core import visibility
  from tensorflow_datasets.core.download import checksums
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.testing import feature_test_case
  from tensorflow_datasets.testing import test_utils
label_desc: Use image node_id 1 for calling a global function with example usage: _np_load(file_, mmap_mode, allow_pickle) and returns: _ORGINAL_NP_LOAD