[Mlir-commits] [mlir] [MLIR][Python] Add structured.fuseop to generator. (PR #120601)

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``````````bash
darker --check --diff -r 3eca15cbb9888a992749ddd24f0fb666dad733bf...dd7406b21c30e98b86c39a07ab4c99cd4b1f7dda mlir/python/mlir/dialects/transform/structured.py mlir/test/python/dialects/transform_structured_ext.py
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View the diff from darker here.
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``````````diff
--- python/mlir/dialects/transform/structured.py	2024-12-19 16:28:31.000000 +0000
+++ python/mlir/dialects/transform/structured.py	2024-12-19 16:31:51.820681 +0000
@@ -137,10 +137,11 @@
             containing_op,
             loc=loc,
             ip=ip,
         )
 
+
 @_ods_cext.register_operation(_Dialect, replace=True)
 class FuseOp(FuseOp):
     """Specialization for FuseOp class."""
 
     @overload
@@ -169,13 +170,11 @@
         num_loops = sum(v if v == 0 else 1 for v in sizes)
 
         if isinstance(loop_types_or_target, (Operation, Value, OpView)):
             loop_types = [transform.AnyOpType.get()] * num_loops
             target = loop_types_or_target
-            assert (
-                target_or_none is None
-            ), "Cannot construct FuseOp with two targets."
+            assert target_or_none is None, "Cannot construct FuseOp with two targets."
         else:
             loop_types = (
                 ([loop_types_or_target] * num_loops)
                 if isinstance(loop_types_or_target, Type)
                 else loop_types_or_target

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https://github.com/llvm/llvm-project/pull/120601