code: def _assert_no_analyzers_in_graph(graph):
      if graph.get_collection(analyzer_nodes.TENSOR_REPLACEMENTS):
          raise RuntimeError(
              "TFT analyzers found when tracing the given "
              "`preprocessing_fn`. Please use "
              "`tft.beam.AnalyzeDataset` to analyze this function."
          )
  
imports: import functools
  import os
  import re
  from typing import Callable, Dict, List, Mapping, Optional, FrozenSet
  from absl import logging
  import numpy
  import pyarrow
  import tensorflow
  from tensorflow_transform import analyzer_nodes
  from tensorflow_transform import annotators
  from tensorflow_transform import common_types
  from tensorflow_transform import graph_context
  from tensorflow_transform import graph_tools
  from tensorflow_transform import schema_inference
  from tensorflow_transform import tf2_utils
  from tensorflow_transform import tf_utils
  from tensorflow_transform.output_wrapper import TFTransformOutput
  from tensorflow_transform.saved import saved_transform_io
  from tensorflow_transform.saved import saved_transform_io_v2
  from tensorflow_transform.tf_metadata import dataset_metadata
  from tensorflow_transform.tf_metadata import metadata_io
  from tensorflow_transform.tf_metadata import schema_utils
  from tfx_bsl.coders import example_coder
  from tfx_bsl.tfxio import tensor_to_arrow
  from tensorflow.python.eager import function
  from tensorflow.python.framework import ops
  from tensorflow_metadata.proto.v0 import schema_pb2
label_desc: Use image node_id 19 for calling a global function with example usage: _assert_no_analyzers_in_graph(graph) without return types