[NFC] Apply format on test files

Author: MrSidims

tests/test_torch_custom_pipeline.py

@@ -40,7 +40,10 @@ def test_torch_custom_pipeline(ir_type):
     output = response.json()["output"]
 
     assert "===== Initial IR =====" in output
-    assert "llvm.func @main(%arg0: !llvm.ptr, %arg1: !llvm.ptr, %arg2: i64, %arg3: i64, %arg4: i64, %arg5: i64, %arg6: i64)" in output
+    assert (
+        "llvm.func @main(%arg0: !llvm.ptr, %arg1: !llvm.ptr, %arg2: i64, %arg3: i64, %arg4: i64, %arg5: i64, %arg6: i64)"
+        in output
+    )
     assert "===== IR after mlir-translate --mlir-to-llvmir =====" in output
     assert "define { ptr, ptr, i64, [2 x i64], [2 x i64] } @main" in output
     assert "===== IR after llc -mtriple=nvptx64 =====" in output

tests/test_torch_mlir_linear.py

@@ -4,6 +4,7 @@
 
 API_URL = os.environ.get("API_URL", "http://localhost:8000/generate_ir")
 
+
 def test_torch_mlir_linear():
     code = """
 import torch

tests/test_torch_mock_opt.py

@@ -5,6 +5,7 @@
 import pytest
 import httpx
 
+
 @pytest.fixture(scope="session")
 def mock_opt_path():
     cpp_src = os.path.abspath("tests/cpp_sources/mock-opt.cpp")
@@ -17,6 +18,7 @@ def mock_opt_path():
 
     shutil.rmtree(build_dir)
 
+
 def test_torch_mock_opt(mock_opt_path):
     code = """
 import torch
@@ -41,7 +43,9 @@ def forward(self, x):
         "dump_after_each_opt": True,
     }
 
-    response = httpx.post(os.environ.get("API_URL", "http://localhost:8000/generate_ir"), json=payload)
+    response = httpx.post(
+        os.environ.get("API_URL", "http://localhost:8000/generate_ir"), json=payload
+    )
     assert response.status_code == 200
     assert "graph(%self.1 : __torch__.builtins.MyModel," in response.json()["output"]
     assert "test mock_opt 42" in response.json()["output"]

tests/test_torch_user_controlled_ir_print.py

@@ -48,4 +48,4 @@ def forward(self, x):
     assert "affine_map" in ir
     assert "memref.global" in ir
     assert "arith.constant" in ir
-    assert "linalg.matmul" in ir
+    assert "linalg.matmul" in ir

tests/test_triton_mock_opt.py

@@ -12,6 +12,7 @@
     reason="No NVIDIA GPU detected. Skip",
 )
 
+
 @pytest.fixture(scope="session")
 def mock_opt_path():
     cpp_src = os.path.abspath("tests/cpp_sources/mock-opt.cpp")
@@ -24,6 +25,7 @@ def mock_opt_path():
 
     shutil.rmtree(build_dir)
 
+
 def test_triton_mock_opt(mock_opt_path):
     code = """
 import triton

tests/test_wrong_command_line.py

@@ -20,6 +20,7 @@ def forward(self, x):
 example_input = torch.randn(4, 4)
 """
 
+
 @pytest.mark.parametrize("ir_type", ["llvm_mlir"])
 def test_wrong_command_line(ir_type):
     payload = {