class_docstr: Probabilistic set membership testing for large sets
class_docstr_tok: ["Probabilistic","set","membership","testing","for","large","sets"]
code: def __contains__(self, key):
      for bitno in self.probe_bitnoer(self, key):
          if not self.backend.is_set(bitno):
              return False
      return True
  
imports: import array
  import math
  import os
  import random
label_desc: Use image node_id 10 for calling the BloomFilter obj's underlying member method code with example usage: obj.__contains__(key) and returns: True, False