| 164 | 164 | def _blockmul(self, other): |
| 165 | 165 | if (isinstance(other, BlockMatrix) and |
| 166 | 166 | self.colblocksizes == other.rowblocksizes): |
| 167 | return BlockMatrix(self.blocks*other.blocks) | |
| 167 | # Perform block matrix multiplication manually to preserve matrix types | |
| 168 | from sympy.matrices.immutable import ImmutableDenseMatrix | |
| 169 | ||
| 170 | m, n = self.blockshape | |
| 171 | p, q = other.blockshape | |
| 172 | ||
| 173 | # Result will be m x q blocks | |
| 174 | result_blocks = [] | |
| 175 | for i in range(m): | |
| 176 | row = [] | |
| 177 | for j in range(q): | |
| 178 | # Compute block (i, j) as sum over k of self[i,k] * other[k,j] | |
| 179 | block_sum = None | |
| 180 | for k in range(n): | |
| 181 | block_product = self.blocks[i, k] * other.blocks[k, j] | |
| 182 | if block_sum is None: | |
| 183 | block_sum = block_product | |
| 184 | else: | |
| 185 | block_sum = block_sum + block_product | |
| 186 | row.append(block_sum) | |
| 187 | result_blocks.append(row) | |
| 188 | ||
| 189 | return BlockMatrix(ImmutableDenseMatrix(result_blocks)) | |
| 168 | 190 | |
| 169 | 191 | return self * other |
| 170 | 192 |
| 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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