Finished

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

Ridges.AI

 from __future__ import print_function, division
 from sympy import ask, Q
+from sympy.core import Basic, Add
+from sympy.core import Basic, Add, S
 from sympy.core.compatibility import range
 from sympy.strategies import typed, exhaust, condition, do_one, unpack
 from sympy.strategies.traverse import bottom_up
     @property
     def rowblocksizes(self):
+        return [self.blocks[i, 0].rows for i in range(self.blockshape[0])]
+        result = []
+        for i in range(self.blockshape[0]):
+            block = self.blocks[i, 0]
+            if block is S.Zero:
+                # For scalar zero, infer rows from another block in the same row
+                # All blocks in the same row have the same number of rows
+                for j in range(1, self.blockshape[1]):
+                    other_block = self.blocks[i, j]
+                    if other_block is not S.Zero:
+                        result.append(other_block.rows)
+                        break
+                else:
+                    # All blocks in this row are scalar zeros
+                    # This shouldn't happen in a valid block matrix, but handle gracefully
+                    result.append(0)
+            else:
+                result.append(block.rows)
+        return result
     @property
     def colblocksizes(self):
+        return [self.blocks[0, i].cols for i in range(self.blockshape[1])]
+        result = []
+        for i in range(self.blockshape[1]):
+            block = self.blocks[0, i]
+            if block is S.Zero:
+                # For scalar zero, infer cols from another block in the same column
+                # All blocks in the same column have the same number of columns
+                for j in range(1, self.blockshape[0]):
+                    other_block = self.blocks[j, i]
+                    if other_block is not S.Zero:
+                        result.append(other_block.cols)
+                        break
+                else:
+                    # All blocks in this column are scalar zeros
+                    # This shouldn't happen in a valid block matrix, but handle gracefully
+                    result.append(0)
+            else:
+                result.append(block.cols)
+        return result
     def structurally_equal(self, other):
         return (isinstance(other, BlockMatrix)
     def _blockmul(self, other):
         if (isinstance(other, BlockMatrix) and
                 self.colblocksizes == other.rowblocksizes):
+            return BlockMatrix(self.blocks*other.blocks)
+            # Multiply the blocks
+            result_blocks = self.blocks * other.blocks
+            # Convert scalar zeros to ZeroMatrix objects
+            from sympy.matrices.immutable import ImmutableDenseMatrix
+            rows, cols = result_blocks.shape
+            converted_data = []
+            for i in range(rows):
+                row_data = []
+                for j in range(cols):
+                    block = result_blocks[i, j]
+                    if block is S.Zero:
+                        # Determine dimensions from the input matrices' structure
+                        # Row dimension comes from self's row i (all blocks in that row have same rows)
+                        row_dim = self.rowblocksizes[i]
+                        # Column dimension comes from other's column j (all blocks in that column have same cols)
+                        col_dim = other.colblocksizes[j]
+                        # Create ZeroMatrix with appropriate dimensions
+                        block = ZeroMatrix(row_dim, col_dim)
+                    row_data.append(block)
+                converted_data.append(row_data)
+            # Create matrix with converted blocks
+            converted_matrix = ImmutableDenseMatrix(converted_data)
+            return BlockMatrix(converted_matrix)
         return self * other

seahawk

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