logos-blockchain/logos-blockchain-specs
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Fix calls

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This commit is contained in:
danielSanchezQ 2025-01-24 14:50:02 +00:00
parent 96f661f591
commit 5ecbb60e9f
2 changed files with 32 additions and 13 deletions
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22
da/encoder.py
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@ -86,11 +86,11 @@ class DAEncoder:
@staticmethod
def _compute_aggregated_column_commitment(
chunks_matrix: ChunksMatrix, column_commitments: Sequence[Commitment]
column_commitments: Sequence[Commitment]
) -> Tuple[Polynomial, Commitment]:
data = bytes(chain.from_iterable(
DAEncoder.hash_commitment_blake2b31(column, commitment)
for column, commitment in zip(chunks_matrix.columns, column_commitments)
DAEncoder.hash_commitment_blake2b31(commitment)
for commitment in column_commitments
))
return kzg.bytes_to_commitment(data, GLOBAL_PARAMETERS)
@ -108,9 +108,14 @@ class DAEncoder:
chunks_matrix = self._chunkify_data(data)
row_polynomials, row_commitments = zip(*self._compute_row_kzg_commitments(chunks_matrix))
extended_matrix = self._rs_encode_rows(chunks_matrix)
h = derive_challenge(row_commitments)
combined_poly = compute_combined_polynomial(row_polynomials, h)
combined_column_proofs = self._compute_combined_column_proofs(combined_poly)
row_proofs = self._compute_rows_proofs(extended_matrix, row_polynomials, row_commitments)
column_polynomials, column_commitments = zip(*self._compute_column_kzg_commitments(extended_matrix))
aggregated_column_polynomial, aggregated_column_commitment = (
self._compute_aggregated_column_commitment(column_commitments)
)
aggregated_column_proofs = self._compute_aggregated_column_proofs(
aggregated_column_polynomial, column_commitments
)
result = EncodedData(
data,
chunks_matrix,
@ -122,4 +127,7 @@ class DAEncoder:
@staticmethod
def hash_commitment_blake2b31(commitment: Commitment) -> bytes:
return blake2b(bytes(commitment), digest_size=31).digest()
return (
# digest size must be 31 bytes as we cannot encode 32 without risking overflowing the BLS_MODULUS
int.from_bytes(blake2b(bytes(commitment), digest_size=31).digest())
).to_bytes(32, byteorder="big") # rewrap into 32 padded bytes for the field elements, EC library dependant

23
da/test_encoder.py
View File

@ -87,12 +87,23 @@ class TestEncoder(TestCase):
def test_generate_combined_column_proofs(self):
chunks_matrix = self.encoder._chunkify_data(self.data)
row_polynomials, row_commitments = zip(*self.encoder._compute_row_kzg_commitments(chunks_matrix))
h = derive_challenge(row_commitments)
combined_poly = compute_combined_polynomial(row_polynomials, h)
proofs = self.encoder._compute_combined_column_proofs(combined_poly)
expected_extended_columns = self.params.column_count * 2
self.assertEqual(len(proofs), expected_extended_columns)
polynomials, commitments = zip(*self.encoder._compute_column_kzg_commitments(chunks_matrix))
self.assertEqual(len(commitments), len(chunks_matrix[0]))
self.assertEqual(len(polynomials), len(chunks_matrix[0]))
def test_generate_aggregated_column_commitments(self):
chunks_matrix = self.encoder._chunkify_data(self.data)
_, column_commitments = zip(*self.encoder._compute_column_kzg_commitments(chunks_matrix))
poly, commitment = self.encoder._compute_aggregated_column_commitment(column_commitments)
self.assertIsNotNone(poly)
self.assertIsNotNone(commitment)
def test_generate_aggregated_column_proofs(self):
chunks_matrix = self.encoder._chunkify_data(self.data)
_, column_commitments = zip(*self.encoder._compute_column_kzg_commitments(chunks_matrix))
poly, _ = self.encoder._compute_aggregated_column_commitment(column_commitments)
proofs = self.encoder._compute_aggregated_column_proofs(poly, column_commitments)
self.assertEqual(len(proofs), len(column_commitments))
def test_encode(self):
from random import randbytes