PaddlePaddle
diff --git a/‎.pre-commit-config.yaml
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diff --git a/‎ci/coverage_gcda_clean.py
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diff --git a/‎paddle/fluid/prim/api/auto_code_generated/static_gen.py
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diff --git a/‎paddle/fluid/primitive/codegen/decomp_rule_gen.py
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+4-4Lines changed: 4 additions & 4 deletions b/‎paddle/fluid/primitive/codegen/decomp_rule_gen.py
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diff --git a/‎paddle/fluid/primitive/codegen/decomp_vjp_gen.py
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+3-2Lines changed: 3 additions & 2 deletions b/‎paddle/fluid/primitive/codegen/decomp_vjp_gen.py
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diff --git a/‎pyproject.toml
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diff --git a/‎python/paddle/amp/debugging.py
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diff --git a/‎python/paddle/autograd/ir_backward.py
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+4-3Lines changed: 4 additions & 3 deletions b/‎python/paddle/autograd/ir_backward.py
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diff --git a/‎python/paddle/autograd/py_layer.py
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diff --git a/‎python/paddle/base/core.py
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@@ -56,7 +56,7 @@ repos:
         args: [--force-exclude]
   # For Python files
   - repo: https://github.com/psf/black-pre-commit-mirror
-    rev: 24.8.0
+    rev: 25.1.0
     hooks:
       - id: black
   - repo: https://github.com/astral-sh/ruff-pre-commit
 
@@ -13,7 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" usage: gcda_clean.py pull_id. """
+"""usage: gcda_clean.py pull_id."""
 
 import os
 import sys
 
@@ -20,7 +20,6 @@
 import jinja2
 import yaml
 
-# fmt: off
 # import from paddle/fluid/operators/generator
 sys.path.append(
     str(pathlib.Path(__file__).parents[3].joinpath('operators/generator'))
 
@@ -20,11 +20,9 @@
 import jinja2
 import yaml
 
-# fmt: off
 # import from paddle/fluid/operators/generator
 sys.path.insert(
-    0,
-    str(pathlib.Path(__file__).resolve().parents[2] / 'operators/generator')
+    0, str(pathlib.Path(__file__).resolve().parents[2] / 'operators/generator')
 )
 import filters as op_gen_filters
 import tests_utils as op_gen_tests
@@ -35,7 +33,9 @@
 # import from paddle/fluid/pir/dialect/op_generator/api_gen.py
 sys.path.insert(
     0,
-    str(pathlib.Path(__file__).resolve().parents[2] / 'pir/dialect/op_generator')
+    str(
+        pathlib.Path(__file__).resolve().parents[2] / 'pir/dialect/op_generator'
+    ),
 )
 
 from decomp_interface_gen_op_list import (
 
@@ -20,7 +20,6 @@
 import jinja2
 import yaml
 
-# fmt: off
 # import from paddle/fluid/operators/generator
 sys.path.append(
     str(pathlib.Path(__file__).resolve().parents[2] / 'operators/generator')
@@ -31,7 +30,9 @@
 
 # import from paddle/fluid/pir/dialect/op_generator/api_gen.py
 sys.path.append(
-    str(pathlib.Path(__file__).resolve().parents[2] / 'pir/dialect/op_generator')
+    str(
+        pathlib.Path(__file__).resolve().parents[2] / 'pir/dialect/op_generator'
+    )
 )
 
 from decomp_interface_gen_op_list import (
 
@@ -1,7 +1,7 @@
 [tool.black]
 line-length = 80
 skip-string-normalization = true
-target-version = ["py38", "py39", "py310", "py311", "py312"]
+target-version = ["py39", "py310", "py311", "py312", "py313"]
 extend-exclude = '''
 (
     third_party/.+      # Exclude third_party directory
@@ -178,7 +178,7 @@ known-first-party = ["paddle"]
 "test/dygraph_to_static/seq2seq_dygraph_model.py" = ["RUF005"]
 
 [tool.mypy]
-python_version = "3.8"
+python_version = "3.9"
 cache_dir = ".mypy_cache"
 # Miscellaneous strictness flags
 allow_redefinition = true
 
@@ -76,7 +76,7 @@ class DebugMode(Enum):
 
 
 def check_layer_numerics(
-    func: Callable[_InputT, _RetT]
+    func: Callable[_InputT, _RetT],
 ) -> Callable[_InputT, _RetT]:
     """
     This decorator is used to check the numerical values of the layer's input and output data.
 
@@ -1000,9 +1000,10 @@ def append_yield(
                         # create grad_op
 
                         before_ops_num = len(bwd_block.ops)
-                        with dynamic_shape_prim_vjp_guard(
-                            op, inputs
-                        ), pir_op_name_guard(op.name() + '_grad'):
+                        with (
+                            dynamic_shape_prim_vjp_guard(op, inputs),
+                            pir_op_name_guard(op.name() + '_grad'),
+                        ):
                             input_grads = paddle.framework.core.call_vjp(
                                 op,
                                 inputs,
 
@@ -417,7 +417,7 @@ def backward(ctx: PyLayerContext, *args: Any) -> Tensor | Sequence[Tensor]:
 
 
 def once_differentiable(
-    backward: Callable[Concatenate[PyLayerContext, ...], _RetT]
+    backward: Callable[Concatenate[PyLayerContext, ...], _RetT],
 ) -> Callable[Concatenate[PyLayerContext, ...], _RetT]:
     def wrapper(ctx: PyLayerContext, *args: Any) -> _RetT:
         with paddle.base.dygraph.no_grad():
 
@@ -160,7 +160,7 @@ def asm_func(code_str, restype=ctypes.c_uint32, argtypes=()):
 
         # https://en.wikipedia.org/wiki/CPUID#EAX.3D1:_Processor_Info_and_Feature_Bits
         # mov eax,0x1; cpuid; mov cx, ax; ret
-        code_str = b"\xB8\x01\x00\x00\x00\x0f\xa2\x89\xC8\xC3"
+        code_str = b"\xb8\x01\x00\x00\x00\x0f\xa2\x89\xc8\xc3"
         avx_bit = 28
         retval = 0
         try: