[Mlir-commits] [mlir] [mlir][sparse][pybind][CAPI] remove LevelType enum from CAPI, constru… (PR #81682)

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darker --check --diff -r ec0aa1646e9953d1a8d0d15dc381d3250c854572...98f6ee8c1912a57a8939c5ab2f0baefc4419e9b6 mlir/test/Integration/Dialect/SparseTensor/python/test_SDDMM.py mlir/test/Integration/Dialect/SparseTensor/python/test_SpMM.py mlir/test/Integration/Dialect/SparseTensor/python/test_output.py mlir/test/Integration/Dialect/SparseTensor/python/test_stress.py mlir/test/python/dialects/sparse_tensor/dialect.py
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View the diff from darker here.
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``````````diff
--- Integration/Dialect/SparseTensor/python/test_stress.py	2024-02-13 22:59:10.000000 +0000
+++ Integration/Dialect/SparseTensor/python/test_stress.py	2024-02-13 23:04:12.188417 +0000
@@ -204,13 +204,11 @@
         rank = len(shape)
         # All combinations.
         dense_lvl = st.EncodingAttr.build_level_type(st.LevelFormat.dense)
         sparse_lvl = st.EncodingAttr.build_level_type(st.LevelFormat.compressed)
         levels = list(
-            itertools.product(
-                *itertools.repeat([dense_lvl, sparse_lvl], rank)
-            )
+            itertools.product(*itertools.repeat([dense_lvl, sparse_lvl], rank))
         )
         # All permutations.
         orderings = list(
             map(ir.AffineMap.get_permutation, itertools.permutations(range(rank)))
         )
--- python/dialects/sparse_tensor/dialect.py	2024-02-13 22:59:10.000000 +0000
+++ python/dialects/sparse_tensor/dialect.py	2024-02-13 23:04:12.246110 +0000
@@ -94,11 +94,13 @@
         # CHECK: #sparse_tensor.encoding<{ map = (d0, d1) -> (d0 : dense, d1 floordiv 4 : dense, d1 mod 4 : structured[2, 4]) }>
         print(created)
         # CHECK: created_equal: False
         print(f"created_equal: {created == casted}")
 
-        built_2_4 = st.EncodingAttr.build_level_type(st.LevelFormat.n_out_of_m, [], 2, 4)
+        built_2_4 = st.EncodingAttr.build_level_type(
+            st.LevelFormat.n_out_of_m, [], 2, 4
+        )
         built_dense = st.EncodingAttr.build_level_type(st.LevelFormat.dense)
         dim_to_lvl = AffineMap.get(
             2,
             0,
             [

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https://github.com/llvm/llvm-project/pull/81682