class_docstr: API for writing serialized feature skew results to a TFRecord file.
class_docstr_tok: ["API","for","writing","serialized","feature","skew","results","to","a","TFRecord","file","."]
code: def expand(
      self, feature_skew_results: beam.PCollection
  ) -> beam.pvalue.PDone:
      return (
          feature_skew_results
          | "WriteFeatureSkewResults"
          >> beam.io.WriteToTFRecord(
              self._output_path,
              shard_name_template="",
              coder=beam.coders.ProtoCoder(
                  feature_skew_results_pb2.FeatureSkew
              ),
          )
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import itertools
  import logging
  from typing import Callable, Iterable, List, Optional, Text, Tuple, Set
  import apache_beam
  import pyarrow
  import tensorflow
  from tensorflow_data_validation import constants
  from tensorflow_data_validation import types
  from tensorflow_data_validation.anomalies.proto import custom_validation_config_pb2
  from tensorflow_data_validation.anomalies.proto import validation_config_pb2
  from tensorflow_data_validation.anomalies.proto import validation_metadata_pb2
  from tensorflow_data_validation.api import validation_options
  from tensorflow_data_validation.pywrap.tensorflow_data_validation_extension import validation
  from tensorflow_data_validation.skew import feature_skew_detector
  from tensorflow_data_validation.skew.protos import feature_skew_results_pb2
  from tensorflow_data_validation.statistics import stats_impl
  from tensorflow_data_validation.statistics import stats_options
  from tensorflow_data_validation.utils import anomalies_util
  from tensorflow_data_validation.utils import slicing_util
  from tensorflow_data_validation.utils import stats_util
  from tensorflow_metadata.proto.v0 import anomalies_pb2
  from tensorflow_metadata.proto.v0 import schema_pb2
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 2 for calling the WriteFeatureSkewResultsToTFRecord obj's underlying member method code with example usage: obj.expand(feature_skew_results) and returns: unknown