class_docstr: CombineFn wrapper which adds poisson resampling to input elements.
class_docstr_tok: ["CombineFn","wrapper","which","adds","poisson","resampling","to","input","elements","."]
code: def __init__(
      self,
      combine_fn: beam.CombineFn,
      random_seed: Optional[int] = None,
  ):
      super().__init__(combine_fn)
      self._random_seed = random_seed
  
file_path: model-analysis/tensorflow_model_analysis/evaluators/poisson_bootstrap.py
imports: from typing import Any, Optional, Set, Tuple, TypeVar
  import apache_beam
  import numpy
  from tensorflow_model_analysis.api import types
  from tensorflow_model_analysis.evaluators import confidence_intervals_util
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.slicer import slicer_lib
  from tensorflow_model_analysis.utils import beam_util
label_desc: Use image node_id 1 to create a new _BootstrapCombineFn object from inherited base classes: beam_util with example: obj = _BootstrapCombineFn(combine_fn, random_seed)