141 lines
7.2 KiB
Python
141 lines
7.2 KiB
Python
from itertools import chain, batched
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from random import randrange
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from unittest import TestCase
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from eth2spec.deneb.mainnet import bytes_to_bls_field
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from da import encoder
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from da.encoder import DAEncoderParams, DAEncoder
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from eth2spec.eip7594.mainnet import BYTES_PER_FIELD_ELEMENT, BLSFieldElement
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from da.kzg_rs.common import BLS_MODULUS, ROOTS_OF_UNITY
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from da.kzg_rs import kzg, rs
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class TestEncoder(TestCase):
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def setUp(self):
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self.params: DAEncoderParams = DAEncoderParams(column_count=16, bytes_per_field_element=32)
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self.encoder: DAEncoder = DAEncoder(self.params)
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self.elements = 32
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self.data = bytearray(
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chain.from_iterable(
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randrange(BLS_MODULUS).to_bytes(length=self.params.bytes_per_field_element, byteorder='big')
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for _ in range(self.elements)
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)
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)
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def assert_encoding(self, encoder_params: DAEncoderParams, data: bytes):
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encoded_data = encoder.DAEncoder(encoder_params).encode(data)
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self.assertEqual(encoded_data.data, data)
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extended_factor = 2
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column_count = encoder_params.column_count*extended_factor
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columns_len = len(list(encoded_data.extended_matrix.columns))
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self.assertEqual(columns_len, column_count)
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chunks_size = (len(data) // encoder_params.bytes_per_field_element) // encoder_params.column_count
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self.assertEqual(len(encoded_data.row_commitments), chunks_size)
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self.assertEqual(len(encoded_data.row_proofs), chunks_size)
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self.assertEqual(len(encoded_data.row_proofs[0]), column_count)
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self.assertIsNotNone(encoded_data.aggregated_column_commitment)
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self.assertEqual(len(encoded_data.aggregated_column_proofs), columns_len)
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# verify rows
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for row, proofs, commitment in zip(encoded_data.extended_matrix, encoded_data.row_proofs, encoded_data.row_commitments):
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for i, (chunk, proof) in enumerate(zip(row, proofs)):
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self.assertTrue(
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kzg.verify_element_proof(bytes_to_bls_field(chunk), commitment, proof, i, ROOTS_OF_UNITY)
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)
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# verify column aggregation
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for i, (column, proof) in enumerate(zip(encoded_data.extended_matrix.columns, encoded_data.aggregated_column_proofs)):
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data = DAEncoder.hash_column_and_commitment(column, commitment)
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kzg.verify_element_proof(
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bytes_to_bls_field(data),
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encoded_data.aggregated_column_commitment,
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proof,
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i,
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ROOTS_OF_UNITY
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)
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def test_chunkify(self):
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encoder_settings = DAEncoderParams(column_count=2, bytes_per_field_element=32)
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elements = 10
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data = bytearray(chain.from_iterable(int.to_bytes(0, length=32, byteorder='big') for _ in range(elements)))
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_encoder = encoder.DAEncoder(encoder_settings)
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chunks_matrix = _encoder._chunkify_data(data)
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self.assertEqual(len(chunks_matrix), elements//encoder_settings.column_count)
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for row in chunks_matrix:
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self.assertEqual(len(row), encoder_settings.column_count)
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self.assertEqual(len(row[0]), encoder_settings.bytes_per_field_element)
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def test_compute_row_kzg_commitments(self):
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chunks_matrix = self.encoder._chunkify_data(self.data)
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polynomials, commitments = zip(*self.encoder._compute_row_kzg_commitments(chunks_matrix))
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self.assertEqual(len(commitments), len(chunks_matrix))
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self.assertEqual(len(polynomials), len(chunks_matrix))
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def test_rs_encode_rows(self):
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chunks_matrix = self.encoder._chunkify_data(self.data)
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extended_chunks_matrix = self.encoder._rs_encode_rows(chunks_matrix)
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for r1, r2 in zip(chunks_matrix, extended_chunks_matrix):
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self.assertEqual(len(r1), len(r2)//2)
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r2 = [BLSFieldElement.from_bytes(x) for x in r2]
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poly_1 = kzg.bytes_to_polynomial(r1.as_bytes())
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# we check against decoding so we now the encoding was properly done
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poly_2 = rs.decode(r2, ROOTS_OF_UNITY, len(poly_1))
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self.assertEqual(poly_1, poly_2)
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def test_compute_rows_proofs(self):
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chunks_matrix = self.encoder._chunkify_data(self.data)
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polynomials, commitments = zip(*self.encoder._compute_row_kzg_commitments(chunks_matrix))
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extended_chunks_matrix = self.encoder._rs_encode_rows(chunks_matrix)
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original_proofs = self.encoder._compute_rows_proofs(chunks_matrix, polynomials, commitments)
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extended_proofs = self.encoder._compute_rows_proofs(extended_chunks_matrix, polynomials, commitments)
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# check original sized matrix
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for row, poly, commitment, proofs in zip(chunks_matrix, polynomials, commitments, original_proofs):
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self.assertEqual(len(proofs), len(row))
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for i, chunk in enumerate(row):
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self.assertTrue(kzg.verify_element_proof(BLSFieldElement.from_bytes(chunk), commitment, proofs[i], i, ROOTS_OF_UNITY))
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# check extended matrix
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for row, poly, commitment, proofs in zip(extended_chunks_matrix, polynomials, commitments, extended_proofs):
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for i, chunk in enumerate(row):
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self.assertTrue(kzg.verify_element_proof(BLSFieldElement.from_bytes(chunk), commitment, proofs[i], i, ROOTS_OF_UNITY))
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def test_compute_column_kzg_commitments(self):
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chunks_matrix = self.encoder._chunkify_data(self.data)
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polynomials, commitments = zip(*self.encoder._compute_column_kzg_commitments(chunks_matrix))
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self.assertEqual(len(commitments), len(chunks_matrix[0]))
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self.assertEqual(len(polynomials), len(chunks_matrix[0]))
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def test_generate_aggregated_column_commitments(self):
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chunks_matrix = self.encoder._chunkify_data(self.data)
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_, column_commitments = zip(*self.encoder._compute_column_kzg_commitments(chunks_matrix))
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poly, commitment = self.encoder._compute_aggregated_column_commitment(chunks_matrix, column_commitments)
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self.assertIsNotNone(poly)
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self.assertIsNotNone(commitment)
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def test_generate_aggregated_column_proofs(self):
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chunks_matrix = self.encoder._chunkify_data(self.data)
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_, column_commitments = zip(*self.encoder._compute_column_kzg_commitments(chunks_matrix))
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poly, _ = self.encoder._compute_aggregated_column_commitment(chunks_matrix, column_commitments)
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proofs = self.encoder._compute_aggregated_column_proofs(poly, column_commitments)
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self.assertEqual(len(proofs), len(column_commitments))
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def test_encode(self):
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from random import randbytes
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sizes = [pow(2, exp) for exp in range(4, 8, 2)]
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encoder_params = DAEncoderParams(
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column_count=8,
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bytes_per_field_element=BYTES_PER_FIELD_ELEMENT
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)
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for size in sizes:
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data = bytes(
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chain.from_iterable(
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# TODO: For now we make data fit with modulus, we need to research if this is correct
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(int.from_bytes(b) % BLS_MODULUS).to_bytes(length=32)
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for b in batched(
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randbytes(size*self.encoder.params.column_count), self.encoder.params.bytes_per_field_element
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)
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)
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)
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self.assert_encoding(encoder_params, data)
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