[CodeStyle] black -> ruff format migration - part 9

test/legacy_test/test_isfinite_v2_op.py

@@ -316,7 +316,6 @@ def test_neginf(self):
 
 
 class TestError(unittest.TestCase):
-
     def test_bad_input(self):
         paddle.enable_static()
         with paddle.static.program_guard(paddle.static.Program()):

test/legacy_test/test_jit_save_load.py

@@ -709,7 +709,6 @@ def dfs(obj1, obj2):
 
 
 class TestSaveLoadWithDictInput(unittest.TestCase):
-
     def test_dict_input(self):
         # NOTE: This net cannot be executed, it is just
         # a special case for exporting models in model validation
@@ -765,7 +764,6 @@ def test_dict_input(self):
 
 
 class TestSaveLoadWithDictInputNoPrune(unittest.TestCase):
-
     def test_dict_input(self):
         net = LinearNetWithDictInputNoPrune(8, 8)
         temp_dir = tempfile.TemporaryDirectory()

test/legacy_test/test_l1_loss.py

@@ -98,7 +98,6 @@ def test_gpu(self):
 
     # test case the raise message
     def test_errors(self):
-
         def test_value_error():
             input = paddle.static.data(
                 name='input', shape=[10, 10, 5], dtype='float32'
@@ -194,7 +193,6 @@ def test_gpu(self):
 
     # test case the raise message
     def test_errors(self):
-
         def test_value_error():
             loss = paddle.nn.loss.L1Loss(reduction="reduce_mean")
 

test/legacy_test/test_lambv2_op.py

@@ -113,7 +113,6 @@ def test_lamb_op(self):
 
 
 class TestLambOpWithCombinedOp(unittest.TestCase):
-
     def test_lamb_op_with_multi_steps(self):
         paddle.enable_static()
 

test/legacy_test/test_layerlist.py

@@ -19,7 +19,6 @@
 
 class TestLayerListEmptyInsert(unittest.TestCase):
     def test_insert_empty_list(self):
-
         # Test successful case - insert at index 0
         layers = paddle.nn.LayerList()
         linear = paddle.nn.Linear(10, 10)

test/legacy_test/test_linalg_cond.py

@@ -82,7 +82,6 @@ def gen_empty_input():
 
 
 class API_TestStaticCond(unittest.TestCase):
-
     def test_out(self):
         paddle.enable_static()
         # test calling results of 'cond' in static graph mode
@@ -92,7 +91,6 @@ def test_out(self):
 
 
 class API_TestDygraphCond(unittest.TestCase):
-
     def test_out(self):
         paddle.disable_static()
         # test calling results of 'cond' in dynamic mode
@@ -102,7 +100,6 @@ def test_out(self):
 
 
 class TestCondAPIError(unittest.TestCase):
-
     def test_dygraph_api_error(self):
         paddle.disable_static()
         # test raising errors when 'cond' is called in dygraph mode
@@ -154,7 +151,6 @@ def test_static_empty_input_error(self):
 
 
 class TestCondEmptyTensorInput(unittest.TestCase):
-
     def test_dygraph_empty_tensor_input(self):
         paddle.disable_static()
         # test calling results of 'cond' when input is an empty tensor in dynamic mode

test/legacy_test/test_linear_interp_v2_op.py

@@ -528,7 +528,6 @@ def init_test_case(self):
 
 
 class TestLinearInterpOpError(unittest.TestCase):
-
     def test_error(self):
         with (
             paddle_static_guard(),

test/legacy_test/test_log_normal.py

@@ -177,7 +177,6 @@ def set_attrs(self):
 
 
 class TestLogNormalAlias(unittest.TestCase):
-
     def test_alias(self):
         paddle.disable_static()
         shape = [1, 2, 3]
@@ -188,7 +187,6 @@ def test_alias(self):
 
 
 class TestLogNormalErrors(unittest.TestCase):
-
     def test_errors(self):
         main_program = paddle.static.Program()
         with paddle.static.program_guard(main_program):

test/legacy_test/test_logspace.py

@@ -145,7 +145,6 @@ def init_data(self):
 
 
 class TestLogspaceAPI(unittest.TestCase):
-
     def test_variable_input1(self):
         paddle.enable_static()
         prog = paddle.static.Program()

test/legacy_test/test_lookahead.py

@@ -26,7 +26,6 @@
 
 
 class TestLookAhead(unittest.TestCase):
-
     def test_lookahead_static(self):
         paddle.enable_static()
         place = base.CPUPlace()

test/legacy_test/test_lookup_table_v2_op.py

@@ -23,7 +23,6 @@
 
 
 class TestStaticGraphSupportMultipleInt(unittest.TestCase):
-
     def test_main(self):
         dtypes = ['uint8', 'int8', 'int16', 'int32', 'int64']
         if paddle.in_dynamic_mode():

test/legacy_test/test_lrn_op.py

@@ -270,7 +270,6 @@ def test_dygraph(self):
 
 
 class TestLocalResponseNormFAPIError(unittest.TestCase):
-
     def test_errors(self):
         with (
             paddle_static_guard(),

test/legacy_test/test_matrix_nms_op.py

@@ -310,7 +310,6 @@ def set_argument(self):
 
 
 class TestMatrixNMSError(unittest.TestCase):
-
     def test_errors(self):
         M = 1200
         N = 7

test/legacy_test/test_matrix_power_op.py

@@ -473,7 +473,6 @@ def test_dygraph(self):
 
 
 class TestMatrixPowerAPIError(unittest.TestCase):
-
     def test_errors(self):
         input_np = np.random.random([4, 4]).astype("float64")
 

test/legacy_test/test_matrix_rank_atol_rtol_op.py

@@ -590,7 +590,6 @@ def test_errors(self):
 
 
 class TestMatrixRankAtolRtolZeroSizeTensor(unittest.TestCase):
-
     def _get_places(self):
         return get_places()
 

test/legacy_test/test_matrix_rank_op.py

@@ -397,7 +397,6 @@ def test_static(self):
 
 
 class TestMatrixRankZeroSizeTensor(unittest.TestCase):
-
     def _get_places(self):
         return get_places()
 

test/legacy_test/test_median.py

@@ -378,7 +378,6 @@ def test_median_dygraph(self):
 
 
 class TestMedianMin_ZeroSize(unittest.TestCase):
-
     def dygraph_single_test_median(self, lis_test):
         x, axis, keepdims = lis_test
         res_np = np_median_min_axis(x, axis=axis, keepdims=keepdims)

test/legacy_test/test_meshgrid_op.py

@@ -170,7 +170,6 @@ def test_check_grad(self):
 
 
 class TestMeshgridOp3(unittest.TestCase):
-
     def test_api(self):
         input_1 = np.random.randint(
             0,
@@ -208,7 +207,6 @@ def test_api(self):
 
 
 class TestMeshgridOp4(unittest.TestCase):
-
     def test_list_input(self):
         input_1 = np.random.randint(
             0,
@@ -246,7 +244,6 @@ def test_list_input(self):
 
 
 class TestMeshgridOp5(unittest.TestCase):
-
     def test_tuple_input(self):
         input_1 = np.random.randint(
             0,
@@ -362,7 +359,6 @@ def test_api_with_dygraph_tuple_input(self):
 
 
 class TestMeshgridOpComplexStatic(unittest.TestCase):
-
     def test_tuple_input(self):
         input_1 = np.random.randint(
             0,

test/legacy_test/test_modelaverage.py

@@ -30,7 +30,6 @@ def get_value_by_name(name, ops):
 
 
 class TestModelAverage(unittest.TestCase):
-
     def test_model_average_static(self):
         paddle.enable_static()
         place = base.CPUPlace()

test/legacy_test/test_mse_loss.py

@@ -25,7 +25,6 @@
 
 
 class TestMseLoss(unittest.TestCase):
-
     def test_mse_loss(self):
         input_val = np.random.uniform(0.1, 0.5, (2, 3)).astype("float32")
         label_val = np.random.uniform(0.1, 0.5, (2, 3)).astype("float32")
@@ -61,7 +60,6 @@ def test_mse_loss(self):
 
 
 class TestMseInvalidInput(unittest.TestCase):
-
     def test_error(self):
         def test_invalid_input():
             input = [256, 3]
@@ -91,7 +89,6 @@ def test_invalid_tuple_input():
 
 
 class TestNNMseLoss(unittest.TestCase):
-
     def test_NNMseLoss_mean(self):
         for dim in [[10, 10], [2, 10, 10], [3, 3, 10, 10]]:
             input_np = np.random.uniform(0.1, 0.5, dim).astype("float32")
@@ -214,7 +211,6 @@ def test_NNMseLoss_none(self):
 
 
 class TestNNFunctionalMseLoss(unittest.TestCase):
-
     def test_NNFunctionalMseLoss_mean(self):
         for dim in [[10, 10], [2, 10, 10], [3, 3, 10, 10]]:
             input_np = np.random.uniform(0.1, 0.5, dim).astype("float32")
@@ -331,7 +327,6 @@ def test_NNFunctionalMseLoss_none(self):
 
 
 class TestNNFunctionalMseLoss_ZeroSize(unittest.TestCase):
-
     def test_dygraph_and_grad(self):
         for dim in [[0, 0], [2, 0, 10]]:
             input_np = np.random.uniform(0.1, 0.5, dim).astype("float32")