class_docstr: Partial feature stats for dates/times.
class_docstr_tok: ["Partial","feature","stats","for","dates\/times","."]
code: def __init__(
      self, considered: int = 0, invalidated: bool = False
  ) -> None:
      # The total number of values considered for classification.
      self.considered = considered
      # True only if this feature should never be considered, e.g., some
      # value_lists have inconsistent types.
      self.invalidated = invalidated
      # A Counter mapping valid formats to the number of values that have matched
      # on that format.
      self.matching_formats = collections.Counter()
  
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 1 to create a new _PartialTimeStats object from inherited base classes: object with example: obj = _PartialTimeStats(considered, invalidated)