class_docstr: A generator which tracks the min/max list length diffs for two paths.
class_docstr_tok: ["A","generator","which","tracks","the","min\/max","list","length","diffs","for","two","paths","."]
docstr: Generates a unique ID for this instance.
  
  Returns:
    The unique key for this set of init args.
docstr_tok: ["Generates","a","unique","ID","for","this","instance",".","Returns",":","The","unique","key","for","this","set","of","init","args","."]
code: def get_key(self) -> Tuple[Union[Text, types.FeaturePath], ...]:
      """Generates a unique ID for this instance.
  
      Returns:
        The unique key for this set of init args.
      """
      return LengthDiffGenerator.key(
          self._left_path, self._right_path, self._required_paths
      )
  
file_path: data-validation/tensorflow_data_validation/statistics/generators/constituents/length_diff_generator.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  from tensorflow_data_validation import types
  from tensorflow_data_validation.statistics.generators import input_batch
  from tensorflow_data_validation.statistics.generators import stats_generator
  from typing import Iterable, Optional, Text, Tuple, Union
label_desc: Use image node_id 3 for calling the LengthDiffGenerator obj's underlying member method code with example usage: obj.get_key() and returns: LengthDiffGenerator