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

     def _blockmul(self, other):
         if (isinstance(other, BlockMatrix) and
                 self.colblocksizes == other.rowblocksizes):
+            return BlockMatrix(self.blocks*other.blocks)
+            # Perform block multiplication manually to preserve ZeroMatrix objects
+            from sympy.matrices.immutable import ImmutableDenseMatrix
+            self_blocks = self.blocks
+            other_blocks = other.blocks
+            # Get block dimensions
+            m, n = self_blocks.shape  # self has m rows, n cols of blocks
+            n2, p = other_blocks.shape  # other has n2 rows, p cols of blocks
+            # Create result matrix
+            result_blocks = []
+            for i in range(m):
+                row = []
+                for j in range(p):
+                    # Compute block (i,j) as sum of products
+                    block_sum = None
+                    for k in range(n):
+                        block_a = self_blocks[i, k]
+                        block_b = other_blocks[k, j]
+                        # Multiply the blocks
+                        product = block_a * block_b
+                        # If the result is a scalar Zero, convert it back to ZeroMatrix
+                        if product == 0 and not hasattr(product, 'rows'):
+                            # Determine the correct dimensions for the ZeroMatrix
+                            rows = block_a.rows
+                            cols = block_b.cols
+                            product = ZeroMatrix(rows, cols)
+                        if block_sum is None:
+                            block_sum = product
+                        else:
+                            block_sum = block_sum + product
+                    row.append(block_sum)
+                result_blocks.append(row)
+            return BlockMatrix(result_blocks)
         return self * other

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