class_docstr: Function to score different max_partitions_contributed bounds.
  
  Suitable only for COUNT and PRIVACY_ID_COUNT aggregations.
docstr: score(k) for l0 is monotonic.
docstr_tok: ["score","(","k",")","for","l0","is","monotonic","."]
code: def is_monotonic(self) -> bool:
      """score(k) for l0 is monotonic."""
      return True
  
imports: from dataclasses import dataclass
  from functools import lru_cache
  from typing import List
  import pipeline_dp
  from pipeline_dp import dp_computations
  from pipeline_dp.dataset_histograms.histograms import Histogram
  from pipeline_dp import pipeline_functions
label_desc: Use image node_id 5 for calling the L0ScoringFunction obj's underlying member method code with example usage: obj.is_monotonic() and returns: True