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 sympy.utilities.misc import filldedent
 from sympy.matrices.expressions.matexpr import MatrixExpr, ZeroMatrix, Identity
+from sympy.core.numbers import Zero
 from sympy.matrices.expressions.matmul import MatMul
 from sympy.matrices.expressions.matadd import MatAdd
 from sympy.matrices.expressions.matpow import MatPow
     def __new__(cls, *args, **kwargs):
         from sympy.matrices.immutable import ImmutableDenseMatrix
         from sympy.utilities.iterables import is_sequence
+        isMat = lambda i: getattr(i, 'is_Matrix', False)
+        isMat = lambda i: getattr(i, 'is_Matrix', False) or isinstance(i, Zero)
         if len(args) != 1 or \
                 not is_sequence(args[0]) or \
                 len(set([isMat(r) for r in args[0]])) != 1:
                     block matrix. If this matrix is known to consist of
                     blocks fully filling a 2-D space then see
                     Matrix.irregular.'''))
+        # Convert any Zero objects to ZeroMatrix objects with appropriate dimensions
+        def convert_zero_to_zero_matrix(matrix):
+            if not matrix:
+                return matrix
+            # If this is already a matrix (like ImmutableDenseMatrix), work with its elements
+            if hasattr(matrix, 'shape') and hasattr(matrix, '__getitem__'):
+                from sympy.matrices.immutable import ImmutableDenseMatrix
+                # First, determine the dimensions for each row and column
+                row_dims = [None] * matrix.shape[0]
+                col_dims = [None] * matrix.shape[1]
+                # Find dimensions from non-Zero blocks
+                for i in range(matrix.shape[0]):
+                    for j in range(matrix.shape[1]):
+                        block = matrix[i, j]
+                        if not isinstance(block, Zero) and hasattr(block, 'rows') and hasattr(block, 'cols'):
+                            if row_dims[i] is None:
+                                row_dims[i] = block.rows
+                            if col_dims[j] is None:
+                                col_dims[j] = block.cols
+                # For any remaining None dimensions, use reasonable defaults or infer from other dimensions
+                # In a proper block matrix, all blocks in a row should have the same row count
+                # and all blocks in a column should have the same column count
+                for i in range(matrix.shape[0]):
+                    if row_dims[i] is None:
+                        # Try to find row dimension from any column in this row
+                        for j in range(matrix.shape[1]):
+                            block = matrix[i, j]
+                            if isinstance(block, ZeroMatrix) and hasattr(block, 'rows'):
+                                row_dims[i] = block.rows
+                                break
+                        if row_dims[i] is None:
+                            row_dims[i] = 1  # fallback
+                for j in range(matrix.shape[1]):
+                    if col_dims[j] is None:
+                        # Try to find column dimension from any row in this column
+                        for i in range(matrix.shape[0]):
+                            block = matrix[i, j]
+                            if isinstance(block, ZeroMatrix) and hasattr(block, 'cols'):
+                                col_dims[j] = block.cols
+                                break
+                        if col_dims[j] is None:
+                            col_dims[j] = 1  # fallback
+                # Create a new matrix with converted elements
+                new_data = []
+                for i in range(matrix.shape[0]):
+                    row = []
+                    for j in range(matrix.shape[1]):
+                        block = matrix[i, j]
+                        if isinstance(block, Zero):
+                            row.append(ZeroMatrix(row_dims[i], col_dims[j]))
+                        else:
+                            row.append(block)
+                    new_data.append(row)
+                return ImmutableDenseMatrix(new_data, evaluate=False)
+            # Handle the case where rows is a list of lists
+            new_rows = []
+            for r in rows:
+                new_row = []
+                for block in r:
+                    if isinstance(block, Zero):
+                        # For list format, we need to determine dimensions differently
+                        # This is a fallback - should primarily use matrix format
+                        new_row.append(ZeroMatrix(1, 1))
+                    else:
+                        new_row.append(block)
+                new_rows.append(new_row)
+            return new_rows
+        rows = convert_zero_to_zero_matrix(rows)
         mat = ImmutableDenseMatrix(rows, evaluate=False)
         obj = Basic.__new__(cls, mat)
         return obj
     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 any Zero objects to ZeroMatrix with appropriate dimensions
+            # The result should have the same row structure as self and column structure as other
+            from sympy.matrices.immutable import ImmutableDenseMatrix
+            new_data = []
+            for i in range(result_blocks.shape[0]):
+                row = []
+                for j in range(result_blocks.shape[1]):
+                    block = result_blocks[i, j]
+                    if isinstance(block, Zero):
+                        # Use the row dimension from self and column dimension from other
+                        row_dim = self.rowblocksizes[i]
+                        col_dim = other.colblocksizes[j]
+                        row.append(ZeroMatrix(row_dim, col_dim))
+                    else:
+                        row.append(block)
+                new_data.append(row)
+            return BlockMatrix(ImmutableDenseMatrix(new_data, evaluate=False))
         return self * other

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