mirror of
https://github.com/logos-co/nomos-specs.git
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cf899d2384
* 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
21 lines
749 B
Python
21 lines
749 B
Python
from unittest import TestCase
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from da.common import ChunksMatrix
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class TestCommon(TestCase):
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def test_chunks_matrix_columns(self):
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matrix = ChunksMatrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
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expected = [[1, 4, 7], [2, 5, 8], [3, 6, 9]]
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for c1, c2 in zip(expected, matrix.columns):
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self.assertEqual(c1, c2)
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def test_chunks_matrix_transposed(self):
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matrix = ChunksMatrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
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expected = ChunksMatrix([[1, 4, 7], [2, 5, 8], [3, 6, 9]])
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self.assertEqual(matrix.transposed(), expected)
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matrix = ChunksMatrix([[1, 2, 3], [4, 5, 6]])
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expected = ChunksMatrix([[1, 4], [2, 5], [3, 6]])
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self.assertEqual(matrix.transposed(), expected)
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