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for cell_index, (cell, proof) inenumerate(zip(recovered_cells, recovered_proofs)):
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extended_matrix.append(MatrixEntry(
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matrix.append(MatrixEntry(
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cell=cell,
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kzg_proof=proof,
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row_index=blob_index,
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column_index=cell_index,
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))
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returnextended_matrix
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returnmatrix
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```
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### `get_data_column_sidecars`
@@ -241,7 +238,7 @@ At each slot, a node advertising `custody_subnet_count` downloads a minimum of `
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## Extended data
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In this construction, we extend the blobs using a one-dimensional erasure coding extension. The matrix comprises maximum `MAX_BLOBS_PER_BLOCK` rows and fixed `NUMBER_OF_COLUMNS` columns, with each row containing a `Blob` and its corresponding extension. `compute_extended_matrix` demonstrates the relationship between blobs and custom type `ExtendedMatrix`.
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+
In this construction, we extend the blobs using a one-dimensional erasure coding extension. The matrix comprises maximum `MAX_BLOBS_PER_BLOCK` rows and fixed `NUMBER_OF_COLUMNS` columns, with each row containing a `Blob` and its corresponding extension. `compute_matrix` demonstrates the relationship between blobs and the matrix, a potential method of storing cells/proofs.
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