Da verifier protocol (#78)
* Implement generator polynomial and rs encoding * Implement encode/decode+test using fft. Non-working * Use lagrange for interpolation * Remove fft, use evaluations instead * Move and rename kzg and rs test modules * Update docs * Added columns property to chunks matrix Added test for columns * Added chunkify and test * Added compute row commitments Added row commitments size test * Fix poly from evaluations method * Implement encode rows and test * Update encode row test * Implement compute row proofs (not working on extended data) * Use same polynomials for commitment and proof creation after extend * Fix polynomial from/to evaluations * Use chunks for verification * Refactor interpolate * Implement chunks matrix transposed method * Added compute column kzg commitments * Use square size data for encoder tests * Add column type to columns method * Added compute columns aggregated commitment Added aggregated commitment test Fixed and expanded encode test * Use sha3 for hashing * Make encoder hashing method public * Fill up verifier implementation * Added verify column test * Implement verier verify test Fixed small issues * Implement verier verify test Extend verify test for all columns
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@ -20,6 +20,7 @@ class DAEncoderParams:
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@dataclass
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class EncodedData:
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data: bytes
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chunked_data: ChunksMatrix
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extended_matrix: ChunksMatrix
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row_commitments: List[Commitment]
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row_proofs: List[List[Proof]]
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@ -28,6 +29,7 @@ class EncodedData:
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aggregated_column_proofs: List[Proof]
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class DAEncoder:
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def __init__(self, params: DAEncoderParams):
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self.params = params
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@ -78,7 +80,7 @@ class DAEncoder:
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chunks_matrix: ChunksMatrix, column_commitments: Sequence[Commitment]
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) -> Tuple[Polynomial, Commitment]:
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data = bytes(chain.from_iterable(
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DAEncoder._hash_column_and_commitment(column, commitment)
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DAEncoder.hash_column_and_commitment(column, commitment)
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for column, commitment in zip(chunks_matrix.columns, column_commitments)
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))
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return kzg.bytes_to_commitment(data, GLOBAL_PARAMETERS)
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@ -107,6 +109,7 @@ class DAEncoder:
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)
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result = EncodedData(
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data,
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chunks_matrix,
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extended_matrix,
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row_commitments,
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row_proofs,
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@ -117,7 +120,7 @@ class DAEncoder:
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return result
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@staticmethod
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def _hash_column_and_commitment(column: Column, commitment: Commitment) -> bytes:
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def hash_column_and_commitment(column: Column, commitment: Commitment) -> bytes:
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# TODO: Check correctness of bytes to blsfieldelement using modulus over the hash
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return (
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int.from_bytes(sha3_256(column.as_bytes() + bytes(commitment)).digest()) % BLS_MODULUS
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@ -11,8 +11,8 @@ 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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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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@ -47,7 +47,7 @@ class TestEncoder(TestCase):
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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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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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@ -1,17 +1,46 @@
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from unittest import TestCase
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from da.verifier import Attestation, DAVerifier
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from da.common import Column
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from da.encoder import DAEncoder
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from da.kzg_rs import kzg
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from da.kzg_rs.common import GLOBAL_PARAMETERS, ROOTS_OF_UNITY
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from da.test_encoder import TestEncoder
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from da.verifier import Attestation, DAVerifier, DABlob
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class TestVerifier(TestCase):
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def test_verify_column(self):
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pass
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def setUp(self):
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self.verifier = DAVerifier(b"")
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def test_verify_chunk(self):
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pass
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def test_verify_column(self):
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column = Column(int.to_bytes(i, length=32) for i in range(8))
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_, column_commitment = kzg.bytes_to_commitment(column.as_bytes(), GLOBAL_PARAMETERS)
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aggregated_poly, aggregated_column_commitment = kzg.bytes_to_commitment(
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DAEncoder.hash_column_and_commitment(column, column_commitment), GLOBAL_PARAMETERS
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)
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aggregated_proof = kzg.generate_element_proof(0, aggregated_poly, GLOBAL_PARAMETERS, ROOTS_OF_UNITY)
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self.assertTrue(
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self.verifier._verify_column(
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column, column_commitment, aggregated_column_commitment, aggregated_proof, 0
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)
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)
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def test_build_attestation(self):
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pass
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def test_verify(self):
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pass
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_ = TestEncoder()
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_.setUp()
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encoded_data = _.encoder.encode(_.data)
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for i, column in enumerate(encoded_data.chunked_data.columns):
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da_blob = DABlob(
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i,
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Column(column),
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encoded_data.column_commitments[i],
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encoded_data.aggregated_column_commitment,
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encoded_data.aggregated_column_proofs[i],
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encoded_data.row_commitments,
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[row[i] for row in encoded_data.row_proofs],
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)
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self.assertIsNotNone(self.verifier.verify(da_blob))
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@ -1,20 +1,24 @@
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from dataclasses import dataclass
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from typing import List, Optional
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from hashlib import sha3_256
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from typing import List, Optional, Sequence
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from eth2spec.deneb.mainnet import BLSFieldElement
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from eth2spec.eip7594.mainnet import (
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KZGCommitment as Commitment,
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KZGProof as Proof,
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BYTES_PER_CELL as BYTES_PER_CHUNK
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)
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from itertools import batched
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from da.common import Column, Chunk, Attestation
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from da.encoder import DAEncoder
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from da.kzg_rs import kzg
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from da.kzg_rs.common import ROOTS_OF_UNITY, GLOBAL_PARAMETERS, BLS_MODULUS
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@dataclass
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class DABlob:
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# this should be removed, but for now it shows the purpose
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index: int
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column: bytearray
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column: Column
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column_commitment: Commitment
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aggregated_column_commitment: Commitment
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aggregated_column_proof: Proof
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@ -23,8 +27,8 @@ class DABlob:
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class DAVerifier:
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def __init__(self):
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pass
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def __init__(self, sk: bytes):
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self.sk = sk
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@staticmethod
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def _verify_column(
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@ -32,45 +36,55 @@ class DAVerifier:
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column_commitment: Commitment,
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aggregated_column_commitment: Commitment,
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aggregated_column_proof: Proof,
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# this is temporary and should be removed
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index: int
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) -> bool:
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# 1. compute commitment for column
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_, computed_column_commitment = kzg.bytes_to_commitment(column.as_bytes(), GLOBAL_PARAMETERS)
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# 2. If computed column commitment != column commitment, fail
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# 3. compute column hash
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column_hash: bytearray = bytearray(hash(column))
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# 4. Check proof with commitment and proof over the aggregated column commitment
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if column_commitment != computed_column_commitment:
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return False
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# 3. compute column hash
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column_hash = DAEncoder.hash_column_and_commitment(column, column_commitment)
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# 4. Check proof with commitment and proof over the aggregated column commitment
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chunk = BLSFieldElement.from_bytes(column_hash)
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return kzg.verify_element_proof(
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chunk, aggregated_column_commitment, aggregated_column_proof, index, ROOTS_OF_UNITY
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)
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@staticmethod
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def _verify_chunk(chunk: Chunk, commitment: Commitment, proof: Proof) -> bool:
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pass
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def _verify_chunk(chunk: Chunk, commitment: Commitment, proof: Proof, index: int) -> bool:
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chunk = BLSFieldElement(int.from_bytes(bytes(chunk)) % BLS_MODULUS)
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return kzg.verify_element_proof(chunk, commitment, proof, index, ROOTS_OF_UNITY)
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@staticmethod
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def _verify_chunks(
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chunks: List[Chunk],
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commitments: List[Commitment],
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proofs: List[Proof]
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chunks: Sequence[Chunk],
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commitments: Sequence[Commitment],
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proofs: Sequence[Proof],
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index: int
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) -> bool:
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if not (len(chunks) == len(commitments) == len(proofs)):
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return False
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for chunk, commitment, proof in zip(chunks, commitments, proofs):
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if not DAVerifier._verify_chunk(chunk, commitment, proof):
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if not DAVerifier._verify_chunk(chunk, commitment, proof, index):
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return False
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return True
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def _build_attestation(self, _blob: DABlob) -> Attestation:
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return Attestation()
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@staticmethod
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def verify(self, blob: DABlob) -> Optional[Attestation]:
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is_column_verified = DAVerifier._verify_column(
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blob.column, blob.aggregated_column_commitment, blob.aggregated_column_proof, blob.index
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blob.column,
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blob.column_commitment,
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blob.aggregated_column_commitment,
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blob.aggregated_column_proof,
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blob.index
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)
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if not is_column_verified:
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return
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chunks = batched(blob.column, BYTES_PER_CHUNK)
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are_chunks_verified = DAVerifier._verify_chunks(
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chunks, blob.rows_commitments, blob.rows_proofs
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blob.column, blob.rows_commitments, blob.rows_proofs, blob.index
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)
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if not are_chunks_verified:
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return
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