Added compute column kzg commitments
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@ -38,8 +38,8 @@ class DAEncoder:
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)
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@staticmethod
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def _compute_row_kzg_commitments(rows: Sequence[Row]) -> List[Tuple[Polynomial, Commitment]]:
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return [kzg.bytes_to_commitment(row.as_bytes(), GLOBAL_PARAMETERS) for row in rows]
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def _compute_row_kzg_commitments(matrix: ChunksMatrix) -> List[Tuple[Polynomial, Commitment]]:
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return [kzg.bytes_to_commitment(row.as_bytes(), GLOBAL_PARAMETERS) for row in matrix]
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def _rs_encode_rows(self, chunks_matrix: ChunksMatrix) -> ChunksMatrix:
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def __rs_encode_row(row: Row) -> Row:
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@ -67,8 +67,8 @@ class DAEncoder:
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)
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return proofs
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def _compute_column_kzg_commitments(self, chunks_matrix: ChunksMatrix) -> List[Commitment]:
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...
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def _compute_column_kzg_commitments(self, chunks_matrix: ChunksMatrix) -> List[Tuple[Polynomial, Commitment]]:
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return self._compute_row_kzg_commitments(chunks_matrix.transposed())
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def _compute_aggregated_column_commitments(
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self, chunks_matrix: ChunksMatrix, column_commitments: List[Commitment]
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@ -43,8 +43,9 @@ class TestEncoder(TestCase):
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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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commitments = self.encoder._compute_row_kzg_commitments(chunks_matrix)
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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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@ -74,7 +75,10 @@ class TestEncoder(TestCase):
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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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pass
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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.transposed()))
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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_generate_aggregated_column_commitments(self):
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pass
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