class_docstr: Probabilistic set membership testing for large sets
class_docstr_tok: ["Probabilistic","set","membership","testing","for","large","sets"]
code: def __repr__(self):
      return (
          "BloomFilter(ideal_num_elements_n=%d, error_rate_p=%f, "
          + "num_bits_m=%d)"
      ) % (
          self.ideal_num_elements_n,
          self.error_rate_p,
          self.num_bits_m,
      )
  
imports: import array
  import math
  import os
  import random
label_desc: Use image node_id 2 for calling the BloomFilter obj's underlying member method code with example usage: obj.__repr__() and returns: unknown