code: def get_load_dataset_builder_mock():
      with mock.patch.object(
          lazy_imports_lib.lazy_imports.datasets, "load_dataset_builder"
      ) as load_dataset_builder_mock:
          hf_builder = load_dataset_builder_mock.return_value
          hf_builder.info.citation = "citation"
          hf_builder.info.description = "description"
          hf_builder.info.features = None
          hf_builder.info.splits = ["all"]
          hf_builder.info.supervised_keys = None
          hf_builder.info.version = "1.0.0"
  
          dataset = mock.MagicMock()
          dataset.info.features = {
              "feature": hf_datasets.Value("int32")
          }
          dataset_dict = hf_datasets.DatasetDict({"test": dataset})
          hf_builder.as_dataset.return_value = dataset_dict
          yield load_dataset_builder_mock
  
imports: import datetime
  from unittest import mock
  from absl import logging
  import numpy
  import pytest
  import tensorflow
  from tensorflow_datasets.core import features
  from tensorflow_datasets.core import lazy_imports_lib
  from tensorflow_datasets.core import registered
  from tensorflow_datasets.core.dataset_builders import huggingface_dataset_builder
label_desc: Use image node_id 14 for calling a global function with example usage: get_load_dataset_builder_mock() without return types