class_docstr: A helper class for testing interop with TFX pipelines.
class_docstr_tok: ["A","helper","class","for","testing","interop","with","TFX","pipelines","."]
code: def setUp(self):
      super().setUp()
      self.tmp_db_path = os.path.join(
          self.create_tempdir(), "test_mlmd.db"
      )
      self.tmpdir = self.create_tempdir()
  
file_path: model-card-toolkit/model_card_toolkit/utils/testdata/tfxtest.py
imports: import os
  from typing import Any, Callable, List, Optional
  import apache_beam
  import ml_metadata
  import tensorflow_model_analysis
  from absl import flags
  from ml_metadata.proto import metadata_store_pb2
  from tensorflow_metadata.proto.v0 import statistics_pb2
  from tensorflow_model_analysis.eval_saved_model.example_trainers import fixed_prediction_estimator
  from tfx_bsl.tfxio import raw_tf_record
  from model_card_toolkit.utils import io_utils
  from model_card_toolkit.utils.tf_utils import _TFX_METRICS_TYPE, _TFX_STATS_TYPE
label_desc: Use image node_id 1 for calling the TfxTest obj's underlying member method code with example usage: obj.setUp() without return types