Implemented Python Bloom Filter example.

Author: Simon Prickett

approximating_sheep_python/have_i_see_this_one.py

@@ -0,0 +1,20 @@
+from probables import BloomFilter
+
+sheep_seen_bloom = BloomFilter(
+ est_elements=200000, false_positive_rate=0.01
+)
+
+for m in range(0, 100000):
+ sheep_id = str(m)
+ sheep_seen_bloom.add(sheep_id)
+
+def have_i_seen(sheep_id):
+ if sheep_seen_bloom.check(sheep_id):
+ print(f"I might have seen sheep {sheep_id}.")
+ else:
+ print(f"I have not seen sheep {sheep_id}.")
+
+have_i_seen("9018")
+have_i_seen("454991")
+
+