class_docstr: Represents a set of CPA rules
code: def load(self, rules):
      # Convert a FastGentleBoosting classifier object into a set of rules
      for name, th, pos, neg, _ in rules:
          object_name, feature = name.split("_", 1)
          weights = numpy.vstack((pos, neg))
          rule = self.Rule(
              object_name,
              feature,
              ">",
              th,
              weights,
              self.allow_fuzzy,
              self.fuzzy_value,
          )
          self.rules.append(rule)
  
file_path: CellProfiler/src/frontend/cellprofiler/utilities/rules.py
imports: from difflib import SequenceMatcher
  from rapidfuzz import process
  import re
  from cellprofiler_core.module import Module
  from cellprofiler_core.setting import Binary
  import numpy
label_desc: Use image node_id 8 for calling the Rules obj's underlying member method code with example usage: obj.load(rules) without return types