nimbus-eth2/tests/test_eip7594_helpers.nim

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# 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
std/random,
unittest2,
results,
kzg4844/[kzg_abi, kzg],
./consensus_spec/[os_ops, fixtures_utils],
../beacon_chain/spec/[helpers, peerdas_helpers],
../beacon_chain/spec/datatypes/[fulu, deneb]
from std/strutils import rsplit
block:
template sourceDir: string = currentSourcePath.rsplit(DirSep, 1)[0]
doAssert loadTrustedSetup(
sourceDir &
"/../vendor/nim-kzg4844/kzg4844/csources/src/trusted_setup.txt", 0).isOk
# 114 is the MSB (most/max significant byte)
# such that BLS modulus does not overflow
const MAX_TOP_BYTE = 114
proc createSampleKzgBlobs(n: int, seed: int): seq[KzgBlob] =
var
blobs: seq[KzgBlob] = @[]
# Initialize the PRNG with the given seed
rng = initRand(seed)
for blobIndex in 0..<n:
var blob: array[int(BYTES_PER_BLOB), byte]
# Fill the blob with random bytes using the seeded PRNG
for byteIndex in 0..<int(BYTES_PER_BLOB):
blob[byteIndex] = rng.rand(byte)
# Adjust bytes according to the given condition
for byteIndex in 0..<int(BYTES_PER_BLOB):
if blob[byteIndex] > MAX_TOP_BYTE and
byteIndex mod kzg_abi.BYTES_PER_FIELD_ELEMENT == 0:
blob[byteIndex] = MAX_TOP_BYTE
blobs.add(KzgBlob(bytes: blob))
blobs
iterator chunks[T](lst: seq[T], n: int): seq[T] =
## Iterator that yields N-sized chunks from the list.
for i in countup(0, len(lst) - 1, n):
yield lst[i..min(i + n - 1, len(lst) - 1)]
suite "EIP-7594 Unit Tests":
test "EIP-7594: Compute Matrix":
proc testComputeExtendedMatrix() =
var
rng = initRand(126)
blob_count = rng.rand(1..(deneb.MAX_BLOB_COMMITMENTS_PER_BLOCK.int))
let
input_blobs = createSampleKzgBlobs(blob_count, rng.rand(int))
extended_matrix = compute_matrix(input_blobs)
doAssert extended_matrix.get.len == kzg_abi.CELLS_PER_EXT_BLOB * blob_count
for row in chunks(extended_matrix.get, kzg_abi.CELLS_PER_EXT_BLOB):
doAssert len(row) == kzg_abi.CELLS_PER_EXT_BLOB
testComputeExtendedMatrix()
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test "EIP:7594: Recover Matrix":
proc testRecoverMatrix() =
var rng = initRand(126)
# Number of samples we shall be recovering
const N_SAMPLES = kzg_abi.CELLS_PER_EXT_BLOB div 2
# Compute an extended matrix with a random
# blob count for this test
let
blob_count = rng.rand(1..(NUMBER_OF_COLUMNS.int))
blobs = createSampleKzgBlobs(blob_count, rng.rand(int))
extended_matrix = compute_matrix(blobs)
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# Construct a matrix with some entries missing
var partial_matrix: seq[MatrixEntry]
for blob_entries in chunks(extended_matrix.get, kzg_abi.CELLS_PER_EXT_BLOB):
var blb_entry = blob_entries
rng.shuffle(blb_entry)
partial_matrix.add(blb_entry[0..N_SAMPLES-1])
# Given the partial matrix, recover the missing entries
let recovered_matrix = recover_matrix(partial_matrix, blob_count)
# Ensure that the recovered matrix matches the original matrix
doAssert recovered_matrix.get == extended_matrix.get, "Both matrices don't match!"
testRecoverMatrix()
suite "EIP-7594 Sampling Tests":
test "EIP7594: Extended Sample Count":
proc testExtendedSampleCount() =
let samplesPerSlot = 16
const tests = [
(0, 16),
(1, 20),
(2, 24),
(3, 27),
(4, 29),
(5, 32),
(6, 35),
(7, 37),
(8, 40),
(9, 42),
(10, 44),
(11, 47),
(12, 49),
(13, 51),
(14, 53),
(15, 55),
(16, 57),
(17, 59),
(18, 61),
(19, 63),
(20, 65)
]
for (allowed_failures, extendedSampleCount) in tests:
check: get_extended_sample_count(
samplesPerSlot, allowed_failures) == extendedSampleCount
testExtendedSampleCount()
doAssert freeTrustedSetup().isOk