| 148 | 148 | |
| 149 | 149 | @property |
| 150 | 150 | def rowblocksizes(self): |
| 151 | return [self.blocks[i, 0].rows for i in range(self.blockshape[0])] | |
| 151 | result = [] | |
| 152 | for i in range(self.blockshape[0]): | |
| 153 | block = self.blocks[i, 0] | |
| 154 | if hasattr(block, 'rows'): | |
| 155 | result.append(block.rows) | |
| 156 | else: | |
| 157 | # Handle Zero objects by finding dimensions from other blocks in the same row | |
| 158 | for j in range(self.blockshape[1]): | |
| 159 | other_block = self.blocks[i, j] | |
| 160 | if hasattr(other_block, 'rows'): | |
| 161 | result.append(other_block.rows) | |
| 162 | break | |
| 163 | else: | |
| 164 | # If all blocks in this row are Zero objects, | |
| 165 | # we need to handle this differently | |
| 166 | raise ValueError("Cannot determine row dimensions from zero blocks") | |
| 167 | return result | |
| 152 | 168 | |
| 153 | 169 | @property |
| 154 | 170 | def colblocksizes(self): |
| 155 | return [self.blocks[0, i].cols for i in range(self.blockshape[1])] | |
| 171 | result = [] | |
| 172 | for i in range(self.blockshape[1]): | |
| 173 | block = self.blocks[0, i] | |
| 174 | if hasattr(block, 'cols'): | |
| 175 | result.append(block.cols) | |
| 176 | else: | |
| 177 | # Handle Zero objects by finding dimensions from other blocks in the same column | |
| 178 | for j in range(self.blockshape[0]): | |
| 179 | other_block = self.blocks[j, i] | |
| 180 | if hasattr(other_block, 'cols'): | |
| 181 | result.append(other_block.cols) | |
| 182 | break | |
| 183 | else: | |
| 184 | # If all blocks in this column are Zero objects, | |
| 185 | # we need to handle this differently | |
| 186 | raise ValueError("Cannot determine column dimensions from zero blocks") | |
| 187 | return result | |
| 156 | 188 | |
| 157 | 189 | def structurally_equal(self, other): |
| 158 | 190 | return (isinstance(other, BlockMatrix) |
| 164 | 196 | def _blockmul(self, other): |
| 165 | 197 | if (isinstance(other, BlockMatrix) and |
| 166 | 198 | self.colblocksizes == other.rowblocksizes): |
| 167 | return BlockMatrix(self.blocks*other.blocks) | |
| 199 | result_blocks = self.blocks*other.blocks | |
| 200 | # Convert Zero objects back to ZeroMatrix with proper dimensions | |
| 201 | from sympy.core.numbers import Zero | |
| 202 | converted_blocks = [] | |
| 203 | for i in range(result_blocks.shape[0]): | |
| 204 | row = [] | |
| 205 | for j in range(result_blocks.shape[1]): | |
| 206 | block = result_blocks[i, j] | |
| 207 | if isinstance(block, Zero): | |
| 208 | # Determine dimensions from the original blocks | |
| 209 | # For block (i,j), the dimensions should be: | |
| 210 | # rows: self.rowblocksizes[i], cols: other.colblocksizes[j] | |
| 211 | rows = self.rowblocksizes[i] | |
| 212 | cols = other.colblocksizes[j] | |
| 213 | row.append(ZeroMatrix(rows, cols)) | |
| 214 | else: | |
| 215 | row.append(block) | |
| 216 | converted_blocks.append(row) | |
| 217 | return BlockMatrix(converted_blocks) | |
| 168 | 218 | |
| 169 | 219 | return self * other |
| 170 | 220 |
| Test Name | Status |
|---|---|
test_zero_matrix_add | Fail |
test_issue_17624 | Pass |
test_bc_matmul | Pass |
test_bc_matadd | Pass |
test_bc_transpose | Pass |
test_bc_dist_diag | Pass |
test_block_plus_ident | Pass |
test_BlockMatrix | Pass |
test_block_collapse_explicit_matrices | Pass |
test_BlockMatrix_trace | Pass |
test_BlockMatrix_Determinant | Pass |
test_squareBlockMatrix | Pass |
test_BlockDiagMatrix | Pass |
test_blockcut | Pass |
test_reblock_2x2 | Pass |
test_deblock | Pass |
test_sort_key | Pass |
test_matadd_sympify | Pass |
test_matadd_of_matrices | Pass |
test_doit_args | Pass |
test_generic_identity | Pass |
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