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use recover_all_cells

This commit is contained in:
Kevaundray Wedderburn 2024-04-19 12:50:32 +01:00
parent 32cbda9de2
commit 3ddd00e741
1 changed files with 3 additions and 7 deletions
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10
specs/_features/eip7594/das-core.md
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@ -135,7 +135,7 @@ def recover_matrix(cells_dict: Dict[Tuple[BlobIndex, CellID], Cell], blob_count:
"""
Return the recovered ``ExtendedMatrix``.
This helper demonstrates how to apply ``recover_polynomial``.
This helper demonstrates how to apply ``recover_all_cells``.
The data structure for storing cells is implementation-dependent.
"""
extended_matrix = []
@ -144,12 +144,8 @@ def recover_matrix(cells_dict: Dict[Tuple[BlobIndex, CellID], Cell], blob_count:
cells = [cells_dict[(blob_index, cell_id)] for cell_id in cell_ids]
cells_bytes = [[bls_field_to_bytes(element) for element in cell] for cell in cells]
full_polynomial = recover_polynomial(cell_ids, cells_bytes)
cells_from_full_polynomial = [
full_polynomial[i * FIELD_ELEMENTS_PER_CELL:(i + 1) * FIELD_ELEMENTS_PER_CELL]
for i in range(CELLS_PER_EXT_BLOB)
]
extended_matrix.extend(cells_from_full_polynomial)
all_cells_for_row = recover_all_cells(cell_ids, cells_bytes)
extended_matrix.extend(all_cells_for_row)
return ExtendedMatrix(extended_matrix)
```