modify g1_lincomb and g2_lincomb
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@ -130,13 +130,13 @@ def coset_evals_to_cell(coset_evals: CosetEvals) -> Cell:
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```python
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```python
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def g2_lincomb(points: Sequence[G2Point], scalars: Sequence[BLSFieldElement]) -> Bytes96:
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def g2_lincomb(points: Sequence[G2Point], scalars: Sequence[BLSFieldElement]) -> Bytes96:
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"""
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"""
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BLS multiscalar multiplication in G2. This function can be optimized using Pippenger's algorithm and variants.
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BLS multiscalar multiplication in G2. This can be naively implemented using double-and-add.
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"""
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"""
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assert len(points) == len(scalars)
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assert len(points) == len(scalars)
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points_g2 = []
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points_g2 = []
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for point in points:
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for point in points:
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points_g2.append(bls.bytes96_to_G2(point))
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points_g2.append(bls.bytes96_to_G2(point))
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result = bls.g2_multi_exp(points_g2, scalars)
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result = bls.multi_exp(points_g2, scalars)
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return Bytes96(bls.G2_to_bytes96(result))
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return Bytes96(bls.G2_to_bytes96(result))
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```
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```
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@ -274,13 +274,13 @@ def div(x: BLSFieldElement, y: BLSFieldElement) -> BLSFieldElement:
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```python
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```python
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def g1_lincomb(points: Sequence[KZGCommitment], scalars: Sequence[BLSFieldElement]) -> KZGCommitment:
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def g1_lincomb(points: Sequence[KZGCommitment], scalars: Sequence[BLSFieldElement]) -> KZGCommitment:
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"""
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"""
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BLS multiscalar multiplication. This function can be optimized using Pippenger's algorithm and variants.
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BLS multiscalar multiplication in G1. This can be naively implemented using double-and-add.
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"""
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"""
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assert len(points) == len(scalars)
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assert len(points) == len(scalars)
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points_g1 = []
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points_g1 = []
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for point in points:
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for point in points:
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points_g1.append(bls.bytes48_to_G1(point))
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points_g1.append(bls.bytes48_to_G1(point))
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result = bls.g1_multi_exp(points_g1, scalars)
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result = bls.multi_exp(points_g1, scalars)
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return KZGCommitment(bls.G1_to_bytes48(result))
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return KZGCommitment(bls.G1_to_bytes48(result))
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```
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```
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