[CodeStyle] black -> ruff format migration - part 13 (#74666)

gouzil · web-flow · commit 2c05879baaa3 · 2025-08-17T04:13:17.000+08:00
diff --git a/test/legacy_test/ernie_utils/moe_all_gather_layer.py b/test/legacy_test/ernie_utils/moe_all_gather_layer.py
@@ -89,7 +89,6 @@ def __init__(
         group_experts=False,
         moe_statics=None,
     ):
-
         super().__init__(
             gate,
             experts,
diff --git a/test/legacy_test/ernie_utils/moe_layer.py b/test/legacy_test/ernie_utils/moe_layer.py
@@ -19,6 +19,7 @@
 Returns:
     _type_: _description_
 """
+
 from __future__ import annotations
 
 import logging
diff --git a/test/legacy_test/hygon_dcu/hygon_llama_ops.py b/test/legacy_test/hygon_dcu/hygon_llama_ops.py
@@ -401,7 +401,6 @@ def test_check_gradient(self):
 
 # test mean op
 class TestFP16MeanOp(OpTest):
-
     def setUp(self):
         self.op_type = "mean"
         self.python_api = paddle.mean
@@ -441,7 +440,6 @@ def test_checkout_grad(self):
 
 # test scale op
 class TestScaleFp16Op(OpTest):
-
     def setUp(self):
         self.op_type = "scale"
         self.python_api = paddle.scale
@@ -466,7 +464,6 @@ def test_check_grad(self):
 
 # test sum op
 class TestAFP16SumOp(OpTest):
-
     def setUp(self):
         self.op_type = "sum"
         self.python_api = paddle.add_n
@@ -528,7 +525,6 @@ def test_check_output(self):
 
 # test add, add_grad op
 class TestFP16ElementwiseAddOp(OpTest):
-
     def setUp(self):
         self.op_type = "elementwise_add"
         self.python_api = paddle.add
@@ -612,7 +608,6 @@ def test_check_grad_ignore_y(self):
 
 # test multiply, multiply_grad op
 class TestElementwiseMulOpFp16(OpTest):
-
     def setUp(self):
         self.op_type = "elementwise_mul"
         self.prim_op_type = "prim"
@@ -791,7 +786,6 @@ def test_check_output(self):
 
 # test matmul, matmul_grad op
 class TestMatMulV2Op(OpTest):
-
     def config(self):
         self.x_shape = (100,)
         self.y_shape = (100,)
diff --git a/test/legacy_test/test_uniform_random_op.py b/test/legacy_test/test_uniform_random_op.py
@@ -206,7 +206,6 @@ def init_dtype(self):
 
 
 class TestUniformRandomOpError(unittest.TestCase):
-
     def test_errors(self):
         paddle.enable_static()
         main_prog = Program()
@@ -305,7 +304,6 @@ def check_with_place(self, place):
 
 
 class TestUniformRandomOpApi(unittest.TestCase):
-
     def test_api(self):
         paddle.enable_static()
         paddle.seed(10)
@@ -343,7 +341,6 @@ def test_api(self):
 
 
 class TestUniformRandomOp_attr_tensor_API(unittest.TestCase):
-
     def test_attr_tensor_API(self):
         paddle.enable_static()
         startup_program = base.Program()
@@ -402,7 +399,6 @@ def test_attr_tensor_int32_API(self):
 
 
 class TestUniformRandomOp_API_seed(unittest.TestCase):
-
     def test_attr_tensor_API(self):
         paddle.enable_static()
         _seed = 10
@@ -456,7 +452,6 @@ def check_with_place(self, place):
 
 
 class TestUniformRandomOpSelectedRowsShapeTensorList(unittest.TestCase):
-
     def test_check_output(self):
         for place in get_places():
             self.check_with_place(place)
@@ -493,7 +488,6 @@ def test_check_output(self):
 
 
 class TestUniformRandomBatchSizeLikeOpError(unittest.TestCase):
-
     def test_errors(self):
         paddle.enable_static()
         main_prog = Program()
@@ -527,7 +521,6 @@ def test_dtype():
 
 
 class TestUniformAlias(unittest.TestCase):
-
     def test_alias(self):
         paddle.uniform([2, 3], min=-5.0, max=5.0)
         paddle.tensor.uniform([2, 3], min=-5.0, max=5.0)
@@ -540,7 +533,6 @@ def test_uniform_random():
 
 
 class TestUniformOpError(unittest.TestCase):
-
     def test_errors(self):
         paddle.enable_static()
         main_prog = Program()
diff --git a/test/legacy_test/test_unpool1d_op.py b/test/legacy_test/test_unpool1d_op.py
@@ -179,7 +179,6 @@ def test_case(self):
 
 
 class TestUnpool1DOpAPI_static(unittest.TestCase):
-
     def test_case(self):
         paddle.enable_static()
         for place in get_places():
diff --git a/test/legacy_test/test_unpool3d_op.py b/test/legacy_test/test_unpool3d_op.py
@@ -410,7 +410,6 @@ def test_case(self):
 
 
 class TestUnpool3DOpAPI_static(unittest.TestCase):
-
     def test_case(self):
         paddle.enable_static()
         for place in get_places():
diff --git a/test/legacy_test/test_unpool_indices.py b/test/legacy_test/test_unpool_indices.py
@@ -377,7 +377,6 @@ def test_case(self):
 
 
 class TestUnpool1DAPI_st(unittest.TestCase):
-
     def test_case(self):
         paddle.enable_static()
         for place in get_places():
@@ -455,7 +454,6 @@ def test_case(self):
 
 
 class TestUnpool2DAPI_st(unittest.TestCase):
-
     def test_case(self):
         paddle.enable_static()
         for place in get_places():
@@ -542,7 +540,6 @@ def test_case(self):
 
 
 class TestUnpool3DAPI_st2(unittest.TestCase):
-
     def test_case(self):
         paddle.enable_static()
         for place in get_places():
diff --git a/test/legacy_test/test_unpool_op.py b/test/legacy_test/test_unpool_op.py
@@ -456,7 +456,6 @@ def test_case(self):
 
 
 class TestUnpoolOpAPI_st(unittest.TestCase):
-
     def test_case(self):
         import paddle
         import paddle.nn.functional as F
diff --git a/test/legacy_test/test_unstack_op.py b/test/legacy_test/test_unstack_op.py
@@ -236,7 +236,6 @@ def test_check_grad(self):
 
 
 class TestUnstackZeroInputOp(unittest.TestCase):
-
     def unstack_zero_input_static(self):
         paddle.enable_static()
 
diff --git a/test/legacy_test/test_variance_layer.py b/test/legacy_test/test_variance_layer.py
@@ -116,7 +116,6 @@ def test_alias(self):
 
 
 class TestVarError(unittest.TestCase):
-
     def test_error(self):
         with paddle.static.program_guard(paddle.static.Program()):
             x = paddle.static.data('X', [2, 3, 4], 'int32')
diff --git a/test/legacy_test/test_warpctc_op.py b/test/legacy_test/test_warpctc_op.py
@@ -528,7 +528,6 @@ def test_check_grad(self):
 
 
 class TestWarpCTCOpError(unittest.TestCase):
-
     def test_errors(self):
         paddle.enable_static()
         main_program = paddle.static.Program()
diff --git a/test/legacy_test/test_warprnnt_op.py b/test/legacy_test/test_warprnnt_op.py
@@ -249,7 +249,6 @@ def test_check_grad(self):
 
 
 class TestWarpRNNTOpError(unittest.TestCase):
-
     def test_errors1(self):
         with paddle.static.program_guard(
             paddle.static.Program(), paddle.static.Program()
diff --git a/test/legacy_test/test_while_loop_op.py b/test/legacy_test/test_while_loop_op.py
@@ -178,7 +178,6 @@ def body(i, ten, test_dict, test_list, test_list_dict):
 
 
 class TestApiWhileLoop_Nested(unittest.TestCase):
-
     @compare_legacy_with_pt
     def test_nested_net(self):
         def external_cond(i, j, init, sums):
diff --git a/test/legacy_test/test_while_op.py b/test/legacy_test/test_while_op.py
@@ -154,7 +154,6 @@ def test_bad_x():
 
 
 class TestIgnoreVarNameInWhile(unittest.TestCase):
-
     def test_ignore_var(self):
         def cond(i, ten, temp, y):
             return i < ten
diff --git a/test/legacy_test/test_yolo_box_op.py b/test/legacy_test/test_yolo_box_op.py
@@ -268,7 +268,6 @@ def test_dygraph(self):
 
 
 class TestYoloBoxStatic(unittest.TestCase):
-
     def test_static(self):
         x1 = paddle.static.data('x1', [2, 14, 8, 8], 'float32')
         img_size = paddle.static.data('img_size', [2, 2], 'int32')
diff --git a/test/legacy_test/test_yolov3_loss_op.py b/test/legacy_test/test_yolov3_loss_op.py
@@ -440,7 +440,6 @@ def test_dygraph(self):
 
 
 class TestYolov3LossStatic(unittest.TestCase):
-
     def test_static(self):
         x = paddle.static.data('x', [2, 14, 8, 8], 'float32')
         gt_box = paddle.static.data('gt_box', [2, 10, 4], 'float32')
diff --git a/test/quantization/test_trace_quanter.py b/test/quantization/test_trace_quanter.py
@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """The quantizer layers should be traced by paddle.jit.save function."""
+
 import os
 import tempfile
 import unittest
diff --git a/test/quantization/test_weight_only_linear.py b/test/quantization/test_weight_only_linear.py
@@ -932,7 +932,6 @@ def test_weightonly_linear_backward(
     "quantized_matmul requires CUDA >= 11.2 and CUDA_ARCH >= 8",
 )
 class WeightOnlyLinear_stream_k_TestCase(unittest.TestCase):
-
     def test_weightonly_linear_backward_int4(self):
         def test_weightonly_linear_backward(
             self, algo='weight_only_int4', weight_dtype='int4'
diff --git a/test/sequence/test_sequence_mask.py b/test/sequence/test_sequence_mask.py
@@ -185,7 +185,6 @@ def initParameters(self):
 
 
 class TestSequenceMaskOpError(unittest.TestCase):
-
     def test_errors(self):
         paddle.enable_static()
         with paddle.static.program_guard(
diff --git a/test/sot/test_guard_fastpath_strategy.py b/test/sot/test_guard_fastpath_strategy.py
@@ -45,7 +45,6 @@ def test_guard(self):
         # subsequent guard checks will be skipped to improve performance.
         # The related logic is implemented in the OpcodeExecutorCache class.
         with EnvironmentVariableGuard(ENV_SOT_UNSAFE_CACHE_FASTPATH, True):
-
             self.assertTrue(ENV_SOT_UNSAFE_CACHE_FASTPATH.get())
 
             self.assertFalse(
