Use PEP 570 syntax in third party stubs (#11554)

stubs/tensorflow/tensorflow/data/__init__.pyi

@@ -146,13 +146,14 @@ class Dataset(ABC, Generic[_T1]):
     ) -> Dataset[tf.Tensor]: ...
     @staticmethod
     @overload
-    def range(__stop: ScalarTensorCompatible, output_type: DType = ..., name: str | None = None) -> Dataset[tf.Tensor]: ...
+    def range(stop: ScalarTensorCompatible, /, output_type: DType = ..., name: str | None = None) -> Dataset[tf.Tensor]: ...
     @staticmethod
     @overload
     def range(
-        __start: ScalarTensorCompatible,
-        __stop: ScalarTensorCompatible,
-        __step: ScalarTensorCompatible = 1,
+        start: ScalarTensorCompatible,
+        stop: ScalarTensorCompatible,
+        step: ScalarTensorCompatible = 1,
+        /,
         output_type: DType = ...,
         name: str | None = None,
     ) -> Dataset[tf.Tensor]: ...

stubs/tensorflow/tensorflow/keras/constraints.pyi

@@ -6,7 +6,7 @@ from tensorflow import Tensor
 
 class Constraint:
     def get_config(self) -> dict[str, Any]: ...
-    def __call__(self, __w: Tensor) -> Tensor: ...
+    def __call__(self, w: Tensor, /) -> Tensor: ...
 
 @overload
 def get(identifier: None) -> None: ...

stubs/tensorflow/tensorflow/keras/layers.pyi

@@ -56,15 +56,15 @@ class Layer(tf.Module, Generic[_InputT, _OutputT]):
     # First argument will automatically be cast to layer's compute dtype, but any other tensor arguments will not be.
     # Also various tensorflow tools/apis can misbehave if they encounter a layer with *args/**kwargs.
     def __call__(self, inputs: _InputT, *, training: bool = False, mask: TensorCompatible | None = None) -> _OutputT: ...
-    def call(self, __inputs: _InputT) -> _OutputT: ...
+    def call(self, inputs: _InputT, /) -> _OutputT: ...
 
     # input_shape's real type depends on _InputT, but we can't express that without HKT.
     # For example _InputT tf.Tensor -> tf.TensorShape, _InputT dict[str, tf.Tensor] -> dict[str, tf.TensorShape].
-    def build(self, __input_shape: Any) -> None: ...
+    def build(self, input_shape: Any, /) -> None: ...
     @overload
-    def compute_output_shape(self: Layer[tf.Tensor, tf.Tensor], __input_shape: tf.TensorShape) -> tf.TensorShape: ...
+    def compute_output_shape(self: Layer[tf.Tensor, tf.Tensor], input_shape: tf.TensorShape, /) -> tf.TensorShape: ...
     @overload
-    def compute_output_shape(self, __input_shape: Any) -> Any: ...
+    def compute_output_shape(self, input_shape: Any, /) -> Any: ...
     def add_weight(
         self,
         name: str | None = None,

stubs/tensorflow/tensorflow/keras/regularizers.pyi

@@ -8,7 +8,7 @@ class Regularizer:
     def get_config(self) -> dict[str, Any]: ...
     @classmethod
     def from_config(cls, config: dict[str, Any]) -> Self: ...
-    def __call__(self, __x: Tensor) -> Tensor: ...
+    def __call__(self, x: Tensor, /) -> Tensor: ...
 
 _Regularizer: TypeAlias = str | dict[str, Any] | Regularizer | None  # noqa: Y047