]
for item in word_present:
bloomf._add(item)
_size, _hash_count, _bytestring = bloomf._filter_array_for_storing()
#####################################
b_a = bitarray(0)
b_a.frombytes(_bytestring)
shuffle(word_present)
shuffle(word_absent)
test_words = word_present[:10] + word_absent
shuffle(test_words)
for word in test_words:
if bloomf._check(word):
if word in word_absent:
print("'{}' is a false positive!".format(word))
else:
print("'{}' is probably present!".format(word))
else:
print("'{}' is definitely not present!".format(word))
size_, hash_count_, b_a_ = BloomFilter._filter_array_from_storing(
_size, _hash_count, _bytestring)
bloomf1 = BloomFilter(n, p, None, b_a, b_a.length())
pass
