[CodeStyle] black -> ruff format migration - part 12

test/legacy_test/test_scale_op.py

@@ -133,7 +133,6 @@ def test_scale_selected_rows_inplace(self):
 
 
 class TestScaleRaiseError(unittest.TestCase):
-
     def test_errors(self):
         paddle.enable_static()
 

test/legacy_test/test_searchsorted_op.py

@@ -251,7 +251,6 @@ def test_out_int32(self):
 
 
 class TestSearchSortedError(unittest.TestCase):
-
     def test_error_api(self):
         paddle.enable_static()
 

test/legacy_test/test_stack_op.py

@@ -279,7 +279,6 @@ def test_case(self):
 
 
 class API_test(unittest.TestCase):
-
     def test_out(self):
         with paddle.static.program_guard(
             paddle.static.Program(), paddle.static.Program()
@@ -336,7 +335,6 @@ def test_single_tensor_error(self):
 
 
 class TestStackOpWithNegativeShape(unittest.TestCase):
-
     def test_out(self):
         main_prg, startup_prg = paddle.static.Program(), paddle.static.Program()
         with paddle.static.program_guard(main_prg, startup_prg):

test/legacy_test/test_static_save_load.py

@@ -1072,7 +1072,6 @@ def set_var(var, ndarray):
 
 
 class TestStaticSaveLoadPickle(unittest.TestCase):
-
     def test_pickle_protocol(self):
         # enable static graph mode
         paddle.enable_static()

test/legacy_test/test_static_save_load_large.py

@@ -28,7 +28,6 @@
 
 
 class TestStaticSaveLoadLargeParameters(unittest.TestCase):
-
     def test_large_parameters_static_save(self):
         # enable static graph mode
         paddle.enable_static()

test/legacy_test/test_std_layer.py

@@ -118,7 +118,6 @@ def test_error(self):
 
 
 class Testfp16Std(unittest.TestCase):
-
     def test_fp16_with_gpu(self):
         paddle.enable_static()
         if paddle.base.core.is_compiled_with_cuda():

test/legacy_test/test_stride.py

@@ -1003,7 +1003,6 @@ def test_stride_gpu(self):
 
 
 class TestToStaticCheck(unittest.TestCase):
-
     def test_error(self):
         @paddle.jit.to_static(full_graph=True)
         def func1():
@@ -1070,7 +1069,6 @@ def func2():
             func2()
 
     def test_no_error(self):
-
         @paddle.jit.to_static(full_graph=True)
         def func1():
             x_np = np.random.random(size=[2, 3, 4]).astype('float32')

test/legacy_test/test_sum_op.py

@@ -431,7 +431,6 @@ def test_static(self):
 
 
 class API_Test_Add_n(unittest.TestCase):
-
     def test_api(self):
         with base.program_guard(base.Program(), base.Program()):
             input0 = paddle.tensor.fill_constant(
@@ -502,7 +501,6 @@ def test_add_n_and_add_and_grad(self):
 
 
 class TestRaiseSumError(unittest.TestCase):
-
     def test_errors(self):
         with paddle.static.program_guard(
             paddle.static.Program(), paddle.static.Program()
@@ -534,7 +532,6 @@ def test_dtype1():
 
 
 class TestRaiseSumsError(unittest.TestCase):
-
     def test_errors(self):
         with paddle.static.program_guard(
             paddle.static.Program(), paddle.static.Program()

test/legacy_test/test_switch_case.py

@@ -26,7 +26,6 @@
 
 
 class TestAPISwitchCase(unittest.TestCase):
-
     def test_return_single_var(self):
         def fn_1():
             return paddle.tensor.fill_constant(
@@ -371,7 +370,6 @@ def fn_3():
 
 
 class TestAPISwitchCase_Nested(unittest.TestCase):
-
     def test_nested_switch_case(self):
         def fn_1(x=1):
             out = paddle.static.nn.switch_case(
@@ -580,7 +578,6 @@ def fn_3():
 
 # test TypeError and ValueError of api switch_case
 class TestAPISwitchCase_Error(unittest.TestCase):
-
     def test_error(self):
         def fn_1():
             return paddle.tensor.fill_constant(

test/legacy_test/test_take_along_axis_op.py

@@ -409,7 +409,6 @@ def test_error(self):
 class TestTakeAlongAxisAPICase4(unittest.TestCase):
     def test_static_shape_take_along_axis(self):
         with dygraph_guard():
-
             x = paddle.randn([4, 2])
             ind = paddle.to_tensor([[0, 1]])
 

test/legacy_test/test_tensor_type_convert_api.py

@@ -193,7 +193,6 @@ def test_pir_all_dtype_conversions(self):
                 method_name,
                 target_dtype,
             ) in self._supported_dtype_conversions.items():
-
                 if target_dtype == 'bfloat16':
                     continue
                 for init_dtype in self._total_init_dtype:
@@ -216,7 +215,6 @@ def test_pir_all_dtype_conversions(self):
     def _pir_single_dtype_conversion(
         self, method_name, init_dtype, target_dtype
     ):
-
         # Create static graph input
         x = paddle.static.data(name="x", shape=self.shape, dtype=init_dtype)
         # Check if the method exists

test/legacy_test/test_tile_op.py

@@ -436,7 +436,6 @@ def test_check_output(self):
 
 
 class TestTileError(unittest.TestCase):
-
     def test_errors(self):
         with paddle.static.program_guard(
             paddle.static.Program(), paddle.static.Program()
@@ -454,7 +453,6 @@ def test_errors(self):
 
 
 class TestTileAPIStatic(unittest.TestCase):
-
     def test_api(self):
         with paddle.static.program_guard(
             paddle.static.Program(), paddle.static.Program()
@@ -616,7 +614,6 @@ def test_dygraph(self):
 
 
 class Testfp16TileOp(unittest.TestCase):
-
     def testfp16(self):
         if not paddle.is_compiled_with_cuda():
             return

test/legacy_test/test_trace_op.py

@@ -176,7 +176,6 @@ def init_config(self):
 
 
 class TestTraceAPICase(unittest.TestCase):
-
     def test_case1(self):
         with paddle.static.program_guard(paddle.static.Program()):
             case = np.random.randn(2, 20, 2, 3).astype('float32')

test/legacy_test/test_transpose_op.py

@@ -497,7 +497,6 @@ def initTestCase(self):
 
 
 class TestTransposeOpError(unittest.TestCase):
-
     def test_errors(self):
         paddle.enable_static()
         with paddle.static.program_guard(
@@ -534,7 +533,6 @@ def test_each_elem_value_check():
 
 
 class TestTransposeApi(unittest.TestCase):
-
     def test_static_out(self):
         paddle.enable_static()
         with paddle.static.program_guard(paddle.static.Program()):
@@ -572,7 +570,6 @@ def test_dygraph_out(self):
 
 
 class TestTAPI(unittest.TestCase):
-
     def test_static_out(self):
         with base.program_guard(base.Program()):
             data = paddle.static.data(shape=[10], dtype="float64", name="data")
@@ -644,7 +641,6 @@ def test_x_dimension_check():
 
 
 class TestMoveAxis(unittest.TestCase):
-
     def test_static_moveaxis1(self):
         x_np = np.random.randn(2, 3, 4, 5, 7)
         expected = np.moveaxis(x_np, [0, 4, 3, 2], [1, 3, 2, 0])

test/legacy_test/test_tril_indices_op.py

@@ -58,7 +58,6 @@ def init_config(self):
 
 
 class TestTrilIndicesAPICaseStatic(unittest.TestCase):
-
     def test_static(self):
         places = (
             [paddle.CPUPlace(), paddle.base.CUDAPlace(0)]
@@ -110,7 +109,6 @@ def test_num_offset_type_check():
 
 
 class TestTrilIndicesAPICaseDefault(unittest.TestCase):
-
     def test_default_CPU(self):
         paddle.enable_static()
         with paddle.static.program_guard(

test/legacy_test/test_triplet_margin_loss.py

@@ -194,7 +194,6 @@ def calc_triplet_margin_loss(
 
 
 class TestTripletMarginLoss(unittest.TestCase):
-
     def test_TripletMarginLoss(self):
         shape = (2, 2)
         input = np.random.uniform(0.1, 0.8, size=shape).astype(np.float64)

test/legacy_test/test_triplet_margin_with_distance_loss.py

@@ -193,7 +193,6 @@ def calc_triplet_margin_distance_loss(
 
 
 class TestTripletMarginWithDistanceLossnew(unittest.TestCase):
-
     def test_TripletMarginDistanceLoss(self):
         shape = (5, 5)
         np.random.seed(1234)
@@ -286,7 +285,6 @@ def test_TripletMarginDistanceLoss_error(self):
 
 
 class TestTripletMarginWithDistanceLossDF(unittest.TestCase):
-
     def test_TripletMarginDistanceLoss_distance_function(self):
         def distance_function_1(x1, x2):
             return 1.0 - paddle.nn.functional.cosine_similarity(x1, x2)
@@ -400,7 +398,6 @@ def test_TripletMarginDistanceLoss_dimension(self):
 
 
 class TestTripletMarginWithDistanceLossSwap(unittest.TestCase):
-
     def test_TripletMarginWithDistanceLoss_swap(self):
         reduction = 'mean'
         place = paddle.CPUPlace()

test/legacy_test/test_triu_indices_op.py

@@ -58,7 +58,6 @@ def init_config(self):
 
 
 class TestTriuIndicesAPICaseStatic(unittest.TestCase):
-
     def test_static(self):
         if base.core.is_compiled_with_cuda():
             place = paddle.base.CUDAPlace(0)
@@ -105,7 +104,6 @@ def test_num_offset_type_check():
 
 
 class TestTriuIndicesAPICaseDefault(unittest.TestCase):
-
     def test_default_CPU(self):
         paddle.enable_static()
         with paddle.static.program_guard(

test/legacy_test/test_unflatten.py

@@ -325,7 +325,6 @@ def test_static_or_pir_mode():
 
 
 class TestLayerName(unittest.TestCase):
-
     def test_name(self):
         self.x = np.random.randn(3, 4, 4, 5).astype('float32')
         self.axis = 1

test/legacy_test/test_uniform_random_bf16_op.py

@@ -160,7 +160,6 @@ def check_with_place(self, place):
 
 
 class TestUniformRandomOpAPISeed(unittest.TestCase):
-
     def test_attr_tensor_API(self):
         _seed = 10
         gen = paddle.seed(_seed)