class_docstr: Convert bigquery result to context feature and example feature pair.
class_docstr_tok: ["Convert","bigquery","result","to","context","feature","and","example","feature","pair","."]
code: def __init__(
      self, type_map: Dict[str, str], context_feature_fields: Set[str]
  ):
      self._type_map = type_map
      self._context_feature_fields = context_feature_fields
  
file_path: tfx/tfx/extensions/google_cloud_big_query/experimental/elwc_example_gen/component/executor.py
imports: from typing import Any, Dict, Iterable, List, Set, Tuple
  import apache_beam
  from google.cloud import bigquery
  import tensorflow
  from tfx.components.example_gen import base_example_gen_executor
  from tfx.extensions.google_cloud_big_query import utils
  from tfx.extensions.google_cloud_big_query.experimental.elwc_example_gen.proto import elwc_config_pb2
  from tfx.proto import example_gen_pb2
  from google.protobuf import json_format
  from tensorflow_serving.apis import input_pb2
label_desc: Use image node_id 1 to create a new _RowToContextFeatureAndExample object from inherited base classes: beam with example: obj = _RowToContextFeatureAndExample(type_map, context_feature_fields)