A Nim implementation of the bloom filter used by Ethereum.
Bloom filters are data structures that use hash functions to test whether an element is a member of a set. They work like other data structures but are probabilistic in nature: that is, they allow false positive matches but not false negative. Bloom filters use less storage space than other data structures.
Ethereum bloom filters are implemented with the Keccak-256 cryptographic hash function.
To see the bloom filter used in the context of Ethereum, please refer to the Ethereum Yellow Paper.
import eth/bloom, stint
var f: BloomFilter
f.incl("test1")
doAssert("test1" in f)
doAssert("test2" notin f)
f.incl("test2")
doAssert("test2" in f)
doAssert(f.value.toHex == "80000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000000200000000000000000001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000200000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000040000000000000000000000000000000000000000000000000000000000000000000")