class_docstr: Generates feature-level statistics for features in the Time domain.
  
  This generates Time domain stats for input examples. After the statistics are
  combined, it classifies the feature as being in the Time domain iff the
  statistics represent enough values (self._values_threshold) and the match
  ratio is high enough (self._match_ratio). The match ratio is determined by
  comparing the most common matching format to the total number of values
  considered.
class_docstr_tok: ["Generates","feature-level","statistics","for","features","in","the","Time","domain",".","This","generates","Time","domain","stats","for","input","examples",".","After","the","statistics","are","combined",",","it","classifies","the","feature","as","being","in","the","Time","domain","iff","the","statistics","represent","enough","values","(","self._values_threshold",")","and","the","match","ratio","is","high","enough","(","self._match_ratio",")",".","The","match","ratio","is","determined","by","comparing","the","most","common","matching","format","to","the","total","number","of","values","considered","."]
docstr: Returns a fresh, empty accumulator.
  
  Returns:
    An empty accumulator.
docstr_tok: ["Returns","a","fresh",",","empty","accumulator",".","Returns",":","An","empty","accumulator","."]
code: def create_accumulator(self) -> _PartialTimeStats:
      """Returns a fresh, empty accumulator.
  
      Returns:
        An empty accumulator.
      """
      return _PartialTimeStats()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import calendar
  import collections
  import re
  import numpy
  import pyarrow
  from tensorflow_data_validation import types
  from tensorflow_data_validation.statistics.generators import stats_generator
  from tensorflow_data_validation.utils import stats_util
  from tfx_bsl.arrow import array_util
  from typing import Iterable, Pattern, Text, Tuple
  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 TimeStatsGenerator obj's underlying member method code with example usage: obj.create_accumulator() and returns: _PartialTimeStats