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app-store-optimization/skills/loki-mode/benchmarks/results/2026-01-05-01-24-17/swebench-patches/sympy__sympy-17630.patch

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Based on the issue description, I can analyze the problem and provide a fix. The issue is clear from the error traceback:
1. When `ZeroMatrix` blocks are multiplied, they become `Zero` (scalar) objects
2. The `colblocksizes` and `rowblocksizes` properties try to access `.cols` and `.rows` attributes on blocks
3. `Zero` doesn't have these attributes, causing the `AttributeError`
The fix needs to handle the case where a block might be `Zero` instead of `ZeroMatrix`. Looking at the error and the problem description:
- `colblocksizes` at line 80 does: `return [self.blocks[0, i].cols for i in range(self.blockshape[1])]`
- `rowblocksizes` likely does something similar for rows
The solution is to convert `Zero` back to `ZeroMatrix` when needed, or handle it in the properties. A cleaner fix is to ensure that when blocks are computed during `_blockmul`, any `Zero` result gets converted to the appropriate `ZeroMatrix`.
Looking at the typical structure of such code, the issue likely occurs in how matrix multiplication results are handled. When `ZeroMatrix * anything` or `anything * ZeroMatrix` is computed, SymPy may return a scalar `Zero` instead of `ZeroMatrix`.
Here's the patch to fix this issue:
--- a/sympy/matrices/expressions/blockmatrix.py
+++ b/sympy/matrices/expressions/blockmatrix.py
@@ -1,6 +1,6 @@
from __future__ import print_function, division
-from sympy import ask, Q
+from sympy import ask, Q, S
from sympy.core import Basic, Add
from sympy.core.compatibility import range
from sympy.strategies import typed, exhaust, condition, do_one, unpack
@@ -164,7 +164,10 @@ class BlockMatrix(BlockDiagMatrix):
for k in range(self.blockshape[1])]
for i in range(self.blockshape[0])]
- return BlockMatrix(Matrix(data))
+ return BlockMatrix(Matrix([
+ [ZeroMatrix(self.blocks[i, 0].rows, other.blocks[0, j].cols) if data[i][j] == S.Zero
+ else data[i][j] for j in range(len(data[0]))]
+ for i in range(len(data))]))
def _blockadd(self, other):
if (isinstance(other, BlockMatrix)
Wait, I need to reconsider. Let me think about this more carefully based on the error message and typical SymPy patterns. The issue is that after one multiplication, the result blocks contain `Zero` instead of `ZeroMatrix`, and then subsequent operations fail.
The fix should ensure that when `_blockmul` creates the result matrix, any `Zero` values are converted to `ZeroMatrix` with appropriate dimensions.
--- a/sympy/matrices/expressions/blockmatrix.py
+++ b/sympy/matrices/expressions/blockmatrix.py
@@ -160,10 +160,17 @@ class BlockMatrix(BlockDiagMatrix):
and self.colblocksizes == other.rowblocksizes):
return BlockMatrix._blockmul(self, other)
+ def _blockmul(self, other):
+ if (self.colblocksizes == other.rowblocksizes):
+ from sympy import S
+ data = [[sum(self.blocks[i, k]*other.blocks[k, j]
+ for k in range(self.blockshape[1]))
+ for j in range(other.blockshape[1])]
+ for i in range(self.blockshape[0])]
+ # Convert Zero to ZeroMatrix with appropriate dimensions
+ for i in range(self.blockshape[0]):
+ for j in range(other.blockshape[1]):
+ if data[i][j] == S.Zero:
+ data[i][j] = ZeroMatrix(self.blocks[i, 0].rows, other.blocks[0, j].cols)
+ return BlockMatrix(Matrix(data))
Let me provide a cleaner, complete patch:
--- a/sympy/matrices/expressions/blockmatrix.py
+++ b/sympy/matrices/expressions/blockmatrix.py
@@ -157,13 +157,19 @@ class BlockMatrix(BlockDiagMatrix):
def _blockmul(self, other):
if (self.colblocksizes == other.rowblocksizes):
- return BlockMatrix(Matrix([
- [sum(self.blocks[i, k]*other.blocks[k, j]
- for k in range(self.blockshape[1]))
- for j in range(other.blockshape[1])]
- for i in range(self.blockshape[0])]))
+ from sympy.core.numbers import Zero
+ data = [[sum(self.blocks[i, k]*other.blocks[k, j]
+ for k in range(self.blockshape[1]))
+ for j in range(other.blockshape[1])]
+ for i in range(self.blockshape[0])]
+ # Convert Zero to ZeroMatrix with appropriate dimensions
+ for i in range(self.blockshape[0]):
+ for j in range(other.blockshape[1]):
+ if isinstance(data[i][j], Zero):
+ data[i][j] = ZeroMatrix(self.blocks[i, 0].rows, other.blocks[0, j].cols)
+ return BlockMatrix(Matrix(data))
def _blockadd(self, other):
if (isinstance(other, BlockMatrix)