class_docstr: Holds the partial state of partitioned statistics summaries.
class_docstr_tok: ["Holds","the","partial","state","of","partitioned","statistics","summaries","."]
code: def __init__(self):
      # A partial is used so that the class is pickleable.
      self.statistics = collections.defaultdict(
          functools.partial(collections.defaultdict, list)
      )
  
imports: import collections
  import functools
  from typing import Dict, Iterable, Text, Tuple
  import apache_beam
  import numpy
  import pyarrow
  from tensorflow_data_validation import constants
  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 table_util
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 1 to create a new _PartitionedStatisticsAnalyzerAccumulator object from inherited base classes: object with example: obj = _PartitionedStatisticsAnalyzerAccumulator()