# beacon_chain # Copyright (c) 2018-2024 Status Research & Development GmbH # Licensed and distributed under either of # * MIT license (license terms in the root directory or at https://opensource.org/licenses/MIT). # * Apache v2 license (license terms in the root directory or at https://www.apache.org/licenses/LICENSE-2.0). # at your option. This file may not be copied, modified, or distributed except according to those terms. {.push raises: [].} {.used.} import # Status libraries stew/bitops2, eth/common/eth_types as commonEthTypes, eth/common/eth_types_rlp, web3/primitives, # Beacon chain internals ../beacon_chain/spec/[forks, helpers, state_transition], ../beacon_chain/spec/datatypes/[bellatrix, capella], # Test utilities unittest2, mocking/mock_genesis suite "Spec helpers": test "integer_squareroot": check: integer_squareroot(1'u64) == 1'u64 integer_squareroot(2'u64) == 1'u64 integer_squareroot(3'u64) == 1'u64 integer_squareroot(4'u64) == 2'u64 integer_squareroot(5'u64) == 2'u64 # https://github.com/ethereum/consensus-specs/pull/3600 integer_squareroot(0'u64) == 0'u64 integer_squareroot(100'u64) == 10'u64 integer_squareroot(18446744073709551614'u64) == 4294967295'u64 integer_squareroot(18446744073709551615'u64) == 4294967295'u64 test "build_proof - BeaconState": var forked = newClone(initGenesisState()) cache = StateCache() info = ForkedEpochInfo() process_slots( defaultRuntimeConfig, forked[], Slot(100), cache, info, flags = {}).expect("no failure") let state = forked[].phase0Data.data root = state.hash_tree_root() func numLeaves(obj: object): GeneralizedIndex = nextPow2(typeof(obj).totalSerializedFields.uint64).GeneralizedIndex proc process(anchor: object, index: GeneralizedIndex) = var i = index anchor.enumInstanceSerializedFields(_, fieldVar): let depth = log2trunc(i) var proof = newSeq[Eth2Digest](depth) state.build_proof(i, proof).get check: hash_tree_root(fieldVar) == hash_tree_root(state, i).get is_valid_merkle_branch(hash_tree_root(fieldVar), proof, depth, get_subtree_index(i), root) when fieldVar is object and not (fieldVar is Eth2Digest): let numChildLeaves = fieldVar.numLeaves childDepth = log2trunc(numChildLeaves) process(fieldVar, i shl childDepth) i += 1 process(state, state.numLeaves) test "hypergeom_cdf": # Generated with SciPy's hypergeom.cdf() function const tests = [ ( 0, 2, 1, 1, 0.5), ( 8, 200, 162, 9, 0.85631007588636132), ( 2, 20, 11, 5, 0.39551083591331271), ( 2, 5, 4, 3, 0.59999999999999987), ( 16, 100, 71, 28, 0.050496322336354399), ( 1, 5, 2, 2, 0.90000000000000002), ( 0, 5, 4, 1, 0.20000000000000004), ( 27, 200, 110, 54, 0.24032479119039216), ( 0, 10, 2, 5, 0.22222222222222224), ( 3, 50, 27, 5, 0.77138514980460271), ( 2, 50, 24, 8, 0.15067269856977925), ( 4, 20, 16, 7, 0.10113519091847264), ( 13, 500, 408, 15, 0.79686197891279686), ( 0, 5, 3, 1, 0.40000000000000008), ( 0, 20, 14, 2, 0.078947368421052627), ( 49, 100, 62, 79, 0.6077614986362827), ( 2, 10, 3, 6, 0.83333333333333337), ( 0, 50, 31, 2, 0.13959183673469389), ( 2, 5, 4, 3, 0.59999999999999987), ( 4, 50, 21, 8, 0.81380887468704521), ( 0, 10, 7, 2, 0.066666666666666652), ( 0, 10, 1, 4, 0.59999999999999987), ( 0, 20, 4, 2, 0.63157894736842102), ( 0, 3, 2, 1, 0.33333333333333331), ( 39, 500, 427, 51, 0.05047757656076568), ( 2, 100, 6, 21, 0.89490672557682871), ( 5, 20, 11, 9, 0.68904501071683733), ( 0, 2, 1, 1, 0.5), ( 0, 3, 1, 1, 0.66666666666666674), ( 14, 50, 27, 30, 0.16250719969887772), ( 0, 5, 4, 1, 0.20000000000000004), ( 0, 5, 4, 1, 0.20000000000000004), ( 2, 10, 8, 4, 0.13333333333333333), ( 1, 5, 3, 2, 0.69999999999999996), ( 25, 100, 77, 31, 0.79699287800204943), ( 0, 3, 2, 1, 0.33333333333333331), ( 7, 20, 15, 8, 0.94891640866873062), ( 3, 50, 26, 7, 0.45339412360688952), ( 1, 10, 8, 2, 0.37777777777777771), ( 40, 200, 61, 134, 0.4491054454532335), ( 1, 5, 2, 4, 0.40000000000000008), ( 0, 10, 6, 1, 0.39999999999999991), ( 1, 50, 10, 13, 0.19134773839560071), ( 0, 2, 1, 1, 0.5), ( 1, 20, 5, 2, 0.94736842105263153), ( 7, 50, 12, 30, 0.57532691212157849), ( 0, 3, 1, 1, 0.66666666666666674), ( 6, 10, 7, 9, 0.69999999999999996), ( 0, 20, 2, 1, 0.90000000000000002), ( 2, 10, 5, 3, 0.91666666666666663), ( 0, 10, 8, 1, 0.19999999999999998), (258, 500, 372, 347, 0.53219975096883698), ( 1, 3, 2, 2, 0.66666666666666674), ( 45, 200, 129, 68, 0.69415691010446789), ( 1, 10, 8, 2, 0.37777777777777771), ( 0, 10, 2, 1, 0.80000000000000004), ( 1, 10, 4, 5, 0.26190476190476192), ( 3, 50, 36, 4, 0.74422492401215801), ( 0, 20, 6, 1, 0.69999999999999996), ( 0, 5, 2, 3, 0.10000000000000002), ( 1, 200, 47, 9, 0.33197417194852796), ( 20, 50, 32, 30, 0.78323921453982637), ( 16, 50, 21, 34, 0.9149336897131396), ( 17, 50, 38, 22, 0.69599001425795692), ( 0, 5, 2, 3, 0.10000000000000002), ( 1, 5, 3, 2, 0.69999999999999996), ( 0, 10, 9, 1, 0.10000000000000001), ( 0, 5, 2, 3, 0.10000000000000002), ( 2, 10, 5, 6, 0.26190476190476192), ( 0, 5, 2, 1, 0.59999999999999987), ( 7, 20, 16, 9, 0.62538699690402466), ( 1, 100, 27, 2, 0.92909090909090908), ( 27, 100, 58, 50, 0.271780848715515), ( 47, 100, 96, 51, 0.063730084348641039), ( 1, 20, 6, 2, 0.92105263157894735), ( 1, 10, 6, 2, 0.66666666666666674), ( 0, 2, 1, 1, 0.5), ( 0, 20, 11, 1, 0.45000000000000001), ( 0, 3, 1, 1, 0.66666666666666674), ( 0, 2, 1, 1, 0.5), ( 0, 10, 1, 7, 0.29999999999999999), ( 0, 2, 1, 1, 0.5), ( 0, 100, 36, 1, 0.64000000000000001), ( 1, 100, 68, 2, 0.53979797979797983), ( 13, 200, 79, 29, 0.80029860188814683), ( 0, 10, 5, 1, 0.49999999999999994), ( 0, 3, 2, 1, 0.33333333333333331), ( 13, 100, 64, 21, 0.5065368728909565), ( 1, 10, 6, 4, 0.11904761904761905), ( 0, 2, 1, 1, 0.5), ( 0, 5, 1, 2, 0.59999999999999987), ( 0, 2, 1, 1, 0.5), ( 1, 5, 4, 2, 0.40000000000000008), ( 14, 50, 41, 17, 0.65850372332742224), ( 0, 2, 1, 1, 0.5), ( 0, 3, 1, 1, 0.66666666666666674), ( 1, 100, 2, 62, 0.61797979797979785), ( 0, 2, 1, 1, 0.5), ( 0, 2, 1, 1, 0.5), ( 12, 500, 312, 16, 0.91020698917397613), ( 0, 20, 2, 6, 0.47894736842105257), ( 0, 3, 2, 1, 0.33333333333333331), ( 1, 10, 3, 4, 0.66666666666666674), ( 0, 3, 1, 1, 0.66666666666666674), ( 0, 3, 2, 1, 0.33333333333333331), ( 6, 50, 20, 14, 0.72026241648862666), ( 3, 20, 14, 6, 0.22523219814241485), ( 0, 2, 1, 1, 0.5), ( 4, 100, 72, 7, 0.30429108474790234), ( 0, 5, 1, 2, 0.59999999999999987), ( 0, 10, 4, 1, 0.59999999999999998), ( 1, 3, 2, 2, 0.66666666666666674), ( 0, 3, 1, 1, 0.66666666666666674), ( 22, 50, 46, 24, 0.66413373860182379), ( 1, 5, 2, 4, 0.40000000000000008), ( 62, 100, 80, 79, 0.3457586020522983), ( 0, 3, 2, 1, 0.33333333333333331), ( 0, 10, 2, 7, 0.066666666666666666), ( 0, 2, 1, 1, 0.5), ( 0, 5, 2, 1, 0.59999999999999987), ( 42, 200, 145, 57, 0.65622325663713577), ( 1, 20, 12, 3, 0.34385964912280703), ( 0, 2, 1, 1, 0.5), ( 2, 10, 4, 7, 0.33333333333333331), ( 1, 5, 3, 2, 0.69999999999999996), ( 0, 10, 6, 2, 0.1333333333333333), ( 2, 10, 6, 5, 0.26190476190476192), ( 0, 5, 2, 1, 0.59999999999999987), ( 1, 3, 2, 2, 0.66666666666666674), ( 0, 50, 25, 2, 0.24489795918367349), ( 0, 50, 39, 1, 0.22), ( 2, 5, 3, 3, 0.90000000000000002), ( 9, 50, 46, 10, 0.60316977854971765), ( 0, 5, 2, 1, 0.59999999999999987), ( 72, 500, 324, 112, 0.49074275180525029), ( 0, 50, 9, 7, 0.22507959200836167), ( 0, 5, 2, 2, 0.30000000000000004), ( 17, 100, 35, 60, 0.067474411926413541), ( 15, 100, 83, 17, 0.83718038506483827), ( 0, 10, 7, 1, 0.29999999999999999), ( 28, 200, 87, 77, 0.071226044946921765), (154, 500, 361, 212, 0.61327756805578304), ( 1, 10, 2, 3, 0.93333333333333335), ( 0, 10, 4, 4, 0.071428571428571425), ( 0, 5, 1, 1, 0.79999999999999993), ( 2, 5, 3, 4, 0.59999999999999987), ( 0, 10, 4, 1, 0.59999999999999998), ( 0, 3, 2, 1, 0.33333333333333331), ( 0, 10, 3, 1, 0.69999999999999996), ( 0, 50, 10, 1, 0.80000000000000004), ( 0, 2, 1, 1, 0.5), ( 0, 10, 1, 3, 0.69999999999999996), ( 2, 20, 12, 4, 0.53457172342621262), ( 0, 5, 4, 1, 0.20000000000000004), ( 4, 20, 9, 7, 0.89821981424148611), ( 2, 200, 188, 3, 0.17021775544388609), (132, 500, 298, 215, 0.78880271135040059), ( 2, 5, 4, 3, 0.59999999999999987), ( 0, 2, 1, 1, 0.5), ( 2, 10, 6, 5, 0.26190476190476192), ( 0, 3, 1, 1, 0.66666666666666674), (156, 200, 128, 174, 1), ( 1, 20, 6, 4, 0.65737874097007221), ( 0, 5, 0, 0, 1), (488, 500, 198, 500, 1), (143, 500, 8, 371, 1), ( 2, 10, 6, 5, 0.26190476190476192), ( 1, 5, 2, 4, 0.40000000000000008), ( 0, 3, 2, 0, 1), ( 12, 50, 7, 17, 1), (129, 200, 43, 133, 1), ( 0, 5, 3, 0, 1), ( 0, 2, 1, 1, 0.5), ( 5, 20, 20, 17, 0), ( 4, 10, 4, 8, 1), ( 46, 500, 478, 58, 5.1715118817799218e-07), ( 0, 3, 2, 3, 0), ( 0, 3, 1, 1, 0.66666666666666674), ( 76, 500, 0, 120, 1), ( 1, 100, 41, 12, 0.011989696504564528), ] for (k, population, successes, draws, val) in tests: check: abs(hypergeom_cdf(k, population, successes, draws) - val) < 1e-11