class_docstr: Tracks statistics for individual tokens.
class_docstr_tok: ["Tracks","statistics","for","individual","tokens","."]
code: def __init__(self):
      self.frequency = 0
      self.num_sequences = 0
      self.per_sequence_min_frequency = None
      self.per_sequence_max_frequency = None
      self.positions = collections.Counter()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  from typing import Dict, Iterable, List, Optional, Set, Text, Union
  import pyarrow
  import six
  from tensorflow_data_validation import types
  from tensorflow_data_validation.statistics.generators import stats_generator
  from tensorflow_data_validation.utils import quantiles_util
  from tensorflow_data_validation.utils import schema_util
  from tensorflow_data_validation.utils import stats_util
  from tensorflow_data_validation.utils import vocab_util
  from tfx_bsl import sketches
  from tensorflow_metadata.proto.v0 import schema_pb2
  from tensorflow_metadata.proto.v0 import statistics_pb2
  from tfx_bsl.types import tfx_namedtuple
label_desc: Use image node_id 1 to create a new _TokenStats object from inherited base classes: object with example: obj = _TokenStats()