[CodeStyle] black -> ruff format migration - part 5 (#74658)

gouzil · web-flow · commit a1b2d05b8265 · 2025-08-17T04:10:22.000+08:00
diff --git a/test/ir/inference/test_trt_convert_gather_nd.py b/test/ir/inference/test_trt_convert_gather_nd.py
@@ -84,7 +84,6 @@ def generate_dynamic_shape(self, attrs):
     def sample_predictor_configs(
         self, program_config, run_pir=False
     ) -> tuple[paddle_infer.Config, list[int], float]:
-
         def clear_dynamic_shape():
             self.dynamic_shape.max_input_shape = {}
             self.dynamic_shape.min_input_shape = {}
@@ -182,7 +181,6 @@ def generate_dynamic_shape(self, attrs):
     def sample_predictor_configs(
         self, program_config, run_pir=False
     ) -> tuple[paddle_infer.Config, list[int], float]:
-
         def clear_dynamic_shape():
             self.dynamic_shape.max_input_shape = {}
             self.dynamic_shape.min_input_shape = {}
@@ -280,7 +278,6 @@ def generate_dynamic_shape(self, attrs):
     def sample_predictor_configs(
         self, program_config, run_pir=False
     ) -> tuple[paddle_infer.Config, list[int], float]:
-
         def clear_dynamic_shape():
             self.dynamic_shape.max_input_shape = {}
             self.dynamic_shape.min_input_shape = {}
@@ -378,7 +375,6 @@ def generate_dynamic_shape(self, attrs):
     def sample_predictor_configs(
         self, program_config, run_pir=False
     ) -> tuple[paddle_infer.Config, list[int], float]:
-
         def clear_dynamic_shape():
             self.dynamic_shape.max_input_shape = {}
             self.dynamic_shape.min_input_shape = {}
@@ -476,7 +472,6 @@ def generate_dynamic_shape(self, attrs):
     def sample_predictor_configs(
         self, program_config, run_pir=False
     ) -> tuple[paddle_infer.Config, list[int], float]:
-
         def clear_dynamic_shape():
             self.dynamic_shape.max_input_shape = {}
             self.dynamic_shape.min_input_shape = {}
diff --git a/test/ir/inference/test_trt_convert_hard_sigmoid.py b/test/ir/inference/test_trt_convert_hard_sigmoid.py
@@ -85,7 +85,6 @@ def generate_dynamic_shape(self):
     def sample_predictor_configs(
         self, program_config, run_pir=False
     ) -> tuple[paddle_infer.Config, list[int], float]:
-
         def clear_dynamic_shape():
             self.dynamic_shape.max_input_shape = {}
             self.dynamic_shape.min_input_shape = {}
diff --git a/test/ir/inference/test_trt_explicit_quantization_mobilenet.py b/test/ir/inference/test_trt_explicit_quantization_mobilenet.py
@@ -167,7 +167,6 @@ def conv_bn_layer(
         use_cudnn=True,
         name=None,
     ):
-
         conv = paddle.static.nn.conv2d(
             input=input,
             num_filters=num_filters,
diff --git a/test/ir/pir/fused_pass/test_pir_horizontal_fuse_pass.py b/test/ir/pir/fused_pass/test_pir_horizontal_fuse_pass.py
@@ -332,7 +332,6 @@ def is_program_valid(self, program=None):
         return True
 
     def sample_program(self):
-
         with paddle.pir_utils.IrGuard():
             start_prog = paddle.static.Program()
             main_prog = paddle.static.Program()
diff --git a/test/legacy_test/test_activation_nn_grad.py b/test/legacy_test/test_activation_nn_grad.py
@@ -26,7 +26,6 @@
 
 
 class TestSigmoidTripleGradCheck(unittest.TestCase):
-
     @prog_scope()
     def func(self, place):
         shape = [2, 3, 7, 9]
@@ -164,7 +163,6 @@ def test_grad(self):
 
 
 class TestReluDoubleGradCheck(unittest.TestCase):
-
     @prog_scope()
     def func(self, place):
         shape = [2, 3, 7, 9]
@@ -485,7 +483,6 @@ def test_grad(self):
 
 
 class TestCosDoubleGradCheck2(unittest.TestCase):
-
     def _check_cos_double_dynamic(self, place):
         with dygraph_guard():
             x = paddle.randn([64, 64])
diff --git a/test/legacy_test/test_activation_op.py b/test/legacy_test/test_activation_op.py
@@ -47,7 +47,6 @@ def dynamic_guard():
 
 
 class TestSqrtOpError(unittest.TestCase):
-
     def test_errors(self):
         with (
             static_guard(),
@@ -229,7 +228,6 @@ def init_dtype(self):
 
 
 class Test_Exp_Op_Fp16(unittest.TestCase):
-
     def test_api_fp16(self):
         with (
             static_guard(),
@@ -1124,7 +1122,6 @@ def test_backward(self):
 
 
 class TestSinhOpError(unittest.TestCase):
-
     def test_errors(self):
         with (
             static_guard(),
@@ -1258,7 +1255,6 @@ def test_backward(self):
 
 
 class TestCoshOpError(unittest.TestCase):
-
     def test_errors(self):
         with (
             static_guard(),
@@ -4299,7 +4295,6 @@ def test_api_bf16(self):
 
 
 class TestLog10API(unittest.TestCase):
-
     def test_api(self):
         with static_guard():
             with paddle.static.program_guard(
@@ -4390,7 +4385,6 @@ def init_dtype(self):
 
 
 class Test_Log1p_Op_Fp16(unittest.TestCase):
-
     def test_api_fp16(self):
         with (
             static_guard(),
@@ -4445,7 +4439,6 @@ def init_shape(self):
 
 
 class TestLog1pAPI(unittest.TestCase):
-
     def test_api(self):
         with static_guard():
             with base.program_guard(
diff --git a/test/legacy_test/test_adamw_op.py b/test/legacy_test/test_adamw_op.py
@@ -176,7 +176,6 @@ def setUp(self):
         }
 
     def test_check_output(self):
-
         self.check_output(no_check_set=self.no_check_set, check_pir=True)
 
 
diff --git a/test/legacy_test/test_allclose_op.py b/test/legacy_test/test_allclose_op.py
@@ -179,7 +179,6 @@ def test_equal_nan():
 
 
 class TestAllcloseOpFp16(unittest.TestCase):
-
     def test_fp16(self):
         if core.is_compiled_with_cuda():
             x_data = np.random.rand(10, 10).astype('float16')
diff --git a/test/legacy_test/test_alpha_dropout.py b/test/legacy_test/test_alpha_dropout.py
@@ -118,7 +118,6 @@ def test_dygraph_bfp16(self):
 
 
 class TestAlphaDropoutFunctionAPIError(unittest.TestCase):
-
     def test_input_type_errors(self):
         with paddle.static.program_guard(
             paddle.static.Program(), paddle.static.Program()
diff --git a/test/legacy_test/test_arange.py b/test/legacy_test/test_arange.py
@@ -130,7 +130,6 @@ def init_config(self):
 
 
 class TestArangeOpError(unittest.TestCase):
-
     def test_static_errors(self):
         with program_guard(Program(), Program()):
             paddle.enable_static()
@@ -224,7 +223,6 @@ def test_unisfinite_end_errors(self):
 
 
 class TestArangeAPI(unittest.TestCase):
-
     def test_out(self):
         paddle.enable_static()
         with paddle.static.program_guard(
diff --git a/test/legacy_test/test_arg_min_max_op.py b/test/legacy_test/test_arg_min_max_op.py
@@ -343,7 +343,6 @@ def call_func(self, x):
 
 
 class TestArgMinTensorAxis(TestArgMaxTensorAxis):
-
     def test_static(self):
         main_prog = paddle.base.Program()
         startup_prog = paddle.base.Program()
diff --git a/test/legacy_test/test_argsort_op.py b/test/legacy_test/test_argsort_op.py
@@ -498,7 +498,6 @@ def test_api(self):
 
 
 class TestArgsortOpFp16(unittest.TestCase):
-
     def test_fp16(self):
         if base.core.is_compiled_with_cuda():
             paddle.enable_static()
diff --git a/test/legacy_test/test_argwhere_api.py b/test/legacy_test/test_argwhere_api.py
@@ -163,7 +163,6 @@ def return_outputs(self):
 
 
 class TestZeroSizeOp(TestArgwhereOp):
-
     def init_shape(self):
         self.shape = [0, 10]
 
@@ -172,7 +171,6 @@ def init_dtype(self):
 
 
 class TestZeroSizeOpCase2(TestArgwhereOp):
-
     def init_shape(self):
         self.shape = [0, 10]
 
diff --git a/test/legacy_test/test_assign_op.py b/test/legacy_test/test_assign_op.py
@@ -118,7 +118,6 @@ def test_backward(self):
 
 
 class TestAssignOpWithTensorArray(unittest.TestCase):
-
     def test_assign_tensor_array(self):
         paddle.enable_static()
         main_program = paddle.static.Program()
@@ -153,7 +152,6 @@ def test_assign_tensor_array(self):
 
 
 class TestAssignOpError(unittest.TestCase):
-
     def test_errors(self):
         paddle.enable_static()
         with program_guard(Program(), Program()):
@@ -276,7 +274,6 @@ def test_pir_assign_out_(self):
 
 
 class TestAssignOpErrorApi(unittest.TestCase):
-
     def test_errors(self):
         paddle.enable_static()
         with paddle.static.program_guard(
diff --git a/test/legacy_test/test_batch_norm_op.py b/test/legacy_test/test_batch_norm_op.py
@@ -541,7 +541,6 @@ def test_check_output(self):
 
 
 class TestDygraphBatchNormAPIError(unittest.TestCase):
-
     def test_errors(self):
         with paddle.static.program_guard(
             paddle.static.Program(), paddle.static.Program()
@@ -610,7 +609,6 @@ def compute(x_np, is_test, trainable_statistics):
 
 
 class TestDygraphBatchNormOpenReserveSpace(unittest.TestCase):
-
     def test_reservespace(self):
         main_program = paddle.static.Program()
         startup_program = paddle.static.Program()
diff --git a/test/legacy_test/test_bce_loss.py b/test/legacy_test/test_bce_loss.py
@@ -155,7 +155,6 @@ def calc_bceloss(input_np, label_np, reduction='mean', weight_np=None):
 
 
 class TestBCELoss(unittest.TestCase):
-
     def test_BCELoss(self):
         input_np = np.random.uniform(0.1, 0.8, size=(20, 30)).astype(np.float64)
         label_np = np.random.randint(0, 2, size=(20, 30)).astype(np.float64)
@@ -298,7 +297,6 @@ def init_test_dtype(self):
 
 
 class TestBceLossOpStaticFP16(unittest.TestCase):
-
     def test_fp16(self):
         if not core.is_compiled_with_cuda():
             return
diff --git a/test/legacy_test/test_bicubic_interp_v2_op.py b/test/legacy_test/test_bicubic_interp_v2_op.py
@@ -588,7 +588,6 @@ def init_test_case(self):
 
 
 class TestBicubicInterpOpAPI(unittest.TestCase):
-
     def test_case(self):
         np.random.seed(200)
         x_data = np.random.random((2, 3, 6, 6)).astype("float32")
diff --git a/test/legacy_test/test_bilinear_api.py b/test/legacy_test/test_bilinear_api.py
@@ -22,7 +22,6 @@
 
 
 class TestBilinearAPI(unittest.TestCase):
-
     def test_api(self):
         main = paddle.static.Program()
         startup = paddle.static.Program()
diff --git a/test/legacy_test/test_bmm_op.py b/test/legacy_test/test_bmm_op.py
@@ -96,7 +96,6 @@ def test_checkout_grad(self):
 
 
 class API_TestBmm(unittest.TestCase):
-
     def test_out(self):
         with paddle_static_guard():
             with paddle.static.program_guard(
diff --git a/test/legacy_test/test_broadcast_tensors_op.py b/test/legacy_test/test_broadcast_tensors_op.py
@@ -259,7 +259,6 @@ def setUp(self):
         self.dtype = 'float32'
 
     def test_api(self):
-
         def test_static():
             with (
                 static_guard(),

Original file line number	Diff line number	Diff line change
`@@ -176,7 +176,6 @@ def setUp(self):`
`176`	`176`	`}`
`177`	`177`
`178`	`178`	`def test_check_output(self):`
`179`		`-`
`180`	`179`	`self.check_output(no_check_set=self.no_check_set, check_pir=True)`
`181`	`180`
`182`	`181`