class_docstr: Defines a Bin specified by a finite set of values and a constant sub-score
docstr: Returns true if the feature value belongs to the set of values in this bin and false otherwise
  
  @param assignment: dict mapping variable name to value
  @return: bool, true if the feature value belongs to the bin and false otherwise
docstr_tok: ["Returns","true","if","the","feature","value","belongs","to","the","set","of","values","in","this","bin","and","false","otherwise","@","param","assignment",":","dict","mapping","variable","name","to","value","@","return",":","bool",",","true","if","the","feature","value","belongs","to","the","bin","and","false","otherwise"]
code: def contains(self, assignment: Dict[str, Any]) -> bool:
      """
      Returns true if the feature value belongs to the set of values in this bin and false otherwise
  
      @param assignment: dict mapping variable name to value
      @return: bool, true if the feature value belongs to the bin and false otherwise
      """
      return self.feature.evaluate(assignment) in self.values
  
imports: import abc
  from numbers import Real
  from typing import Dict, Set, Any, Optional
  from aix360.algorithms.rule_induction.trxf.core import Feature
label_desc: Use image node_id 3 for calling the SetBin obj's underlying member method code with example usage: obj.contains(assignment) and returns: unknown