Replace incomplete module markers (#14030)

stubs/tensorflow/tensorflow/__init__.pyi

@@ -432,4 +432,4 @@ def gather_nd(
     name: str | None = None,
     bad_indices_policy: Literal["", "DEFAULT", "ERROR", "IGNORE"] = "",
 ) -> Tensor: ...
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/config/__init__.pyi

@@ -1,4 +1,3 @@
-from _typeshed import Incomplete
 from typing import NamedTuple
 
 from tensorflow.config import experimental as experimental
@@ -10,4 +9,4 @@ class PhysicalDevice(NamedTuple):
 def list_physical_devices(device_type: None | str = None) -> list[PhysicalDevice]: ...
 def get_visible_devices(device_type: None | str = None) -> list[PhysicalDevice]: ...
 def set_visible_devices(devices: list[PhysicalDevice] | PhysicalDevice, device_type: None | str = None) -> None: ...
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/config/experimental.pyi

@@ -1,5 +1,4 @@
 import typing_extensions
-from _typeshed import Incomplete
 from typing import TypedDict
 
 from tensorflow.config import PhysicalDevice
@@ -14,4 +13,4 @@ def reset_memory_stats(device: str) -> None: ...
 def get_memory_usage(device: PhysicalDevice) -> int: ...
 def get_memory_growth(device: PhysicalDevice) -> bool: ...
 def set_memory_growth(device: PhysicalDevice, enable: bool) -> None: ...
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/data/__init__.pyi

@@ -269,4 +269,4 @@ class TFRecordDataset(Dataset[tf.Tensor]):
     @property
     def element_spec(self) -> tf.TensorSpec: ...
 
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/data/experimental.pyi

@@ -1,4 +1,3 @@
-from _typeshed import Incomplete
 from collections.abc import Callable, Sequence
 from typing import Final, TypeVar
 
@@ -30,4 +29,4 @@ def sample_from_datasets(
     seed: int | None = None,
     stop_on_empty_dataset: bool = False,
 ) -> Dataset[_T1]: ...
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/distribute/__init__.pyi

@@ -1,5 +1,3 @@
-from _typeshed import Incomplete
-
 from tensorflow.python.distribute.distribute_lib import Strategy as Strategy
 
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/distribute/coordinator.pyi

@@ -1,5 +1,3 @@
-from _typeshed import Incomplete
-
 from .experimental.coordinator import RemoteValue as RemoteValue
 
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/distribute/experimental/coordinator.pyi

@@ -1,4 +1,3 @@
-from _typeshed import Incomplete
 from typing import Generic, TypeVar
 
 from tensorflow._aliases import AnyArray
@@ -9,4 +8,4 @@ class RemoteValue(Generic[_Value_co]):
     def fetch(self) -> AnyArray: ...
     def get(self) -> _Value_co: ...
 
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/dtypes.pyi

@@ -54,4 +54,4 @@ quint16: DType
 string: DType
 
 def as_dtype(type_value: DTypeLike) -> DType: ...
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/experimental/__init__.pyi

@@ -7,4 +7,4 @@ _T_co = TypeVar("_T_co", covariant=True)
 class Optional(ABC, Generic[_T_co]):
     def __getattr__(self, name: str) -> Incomplete: ...
 
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/experimental/dtensor.pyi

@@ -16,4 +16,4 @@ class Mesh:
         use_xla_spmd: bool = False,
     ) -> None: ...
 
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/io/__init__.pyi

@@ -1,4 +1,3 @@
-from _typeshed import Incomplete
 from collections.abc import Iterable, Mapping
 from types import TracebackType
 from typing import Literal, NamedTuple
@@ -105,4 +104,4 @@ class RaggedFeature(NamedTuple):
 def parse_example(
     serialized: TensorCompatible, features: _FeatureSpecs, example_names: Iterable[str] | None = None, name: str | None = None
 ) -> dict[str, TensorLike]: ...
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/io/gfile.pyi

@@ -1,4 +1,4 @@
-from _typeshed import Incomplete, StrOrBytesPath
+from _typeshed import StrOrBytesPath
 from collections.abc import Iterable
 
 def rmtree(path: StrOrBytesPath) -> None: ...
@@ -8,4 +8,4 @@ def exists(path: StrOrBytesPath) -> bool: ...
 def copy(src: StrOrBytesPath, dst: StrOrBytesPath, overwrite: bool = False) -> None: ...
 def makedirs(path: StrOrBytesPath) -> None: ...
 def glob(pattern: str | bytes | Iterable[str | bytes]) -> list[str]: ...
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/keras/__init__.pyi

@@ -1,5 +1,3 @@
-from _typeshed import Incomplete
-
 from tensorflow.keras import (
     activations as activations,
     callbacks as callbacks,
@@ -14,4 +12,4 @@ from tensorflow.keras import (
 )
 from tensorflow.keras.models import Model as Model
 
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/keras/constraints.pyi

@@ -1,4 +1,3 @@
-from _typeshed import Incomplete
 from collections.abc import Callable
 from typing import Any, overload
 
@@ -14,4 +13,4 @@ def get(identifier: None) -> None: ...
 def get(identifier: str | dict[str, Any] | Constraint) -> Constraint: ...
 @overload
 def get(identifier: Callable[[Tensor], Tensor]) -> Callable[[Tensor], Tensor]: ...
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/keras/initializers.pyi

@@ -1,4 +1,3 @@
-from _typeshed import Incomplete
 from collections.abc import Callable
 from typing import Any, overload
 from typing_extensions import Self, TypeAlias
@@ -48,4 +47,4 @@ def get(identifier: None) -> None: ...
 def get(identifier: str | Initializer | dict[str, Any] | type[Initializer]) -> Initializer: ...
 @overload
 def get(identifier: Callable[[ShapeLike], Tensor]) -> Callable[[ShapeLike], Tensor]: ...
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/keras/layers/__init__.pyi

@@ -444,4 +444,4 @@ class GaussianDropout(Layer[tf.Tensor, tf.Tensor]):
         name: str | None = None,
     ) -> None: ...
 
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/keras/losses.pyi

@@ -206,4 +206,4 @@ def get(identifier: _FuncT) -> _FuncT: ...
 # This is complete with respect to methods documented defined here,
 # but many methods get re-exported here from tf.keras.metrics that aren't
 # covered yet.
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/keras/metrics.pyi

@@ -1,4 +1,3 @@
-from _typeshed import Incomplete
 from abc import ABCMeta, abstractmethod
 from collections.abc import Callable, Iterable, Sequence
 from typing import Any, Literal
@@ -116,4 +115,4 @@ def binary_crossentropy(
 def categorical_crossentropy(
     y_true: TensorCompatible, y_pred: TensorCompatible, from_logits: bool = False, label_smoothing: float = 0.0, axis: int = -1
 ) -> Tensor: ...
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/keras/models.pyi

@@ -166,4 +166,4 @@ class Model(Layer[_InputT_contra, _OutputT_co]):
     def compile_from_config(self, config: dict[str, Any]) -> Self: ...
     def export(self, filepath: str | Path, format: str = "tf_saved_model", verbose: bool = True) -> None: ...
 
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/keras/optimizers/__init__.pyi

@@ -4,4 +4,4 @@ from tensorflow.keras.optimizers import legacy as legacy, schedules as schedules
 
 Optimizer = Incomplete
 
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/keras/optimizers/legacy/__init__.pyi

@@ -1,4 +1,3 @@
-from _typeshed import Incomplete
 from collections.abc import Callable, Iterable
 from typing import Any
 from typing_extensions import TypeAlias
@@ -59,4 +58,4 @@ class SGD(Optimizer):
         self, learning_rate: _LearningRate = 0.01, momentum: float = 0.0, nesterov: bool = False, name: str = "SGD", **kwargs: Any
     ) -> None: ...
 
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/keras/regularizers.pyi

@@ -1,4 +1,3 @@
-from _typeshed import Incomplete
 from collections.abc import Callable
 from typing import Any, overload
 from typing_extensions import Self, TypeAlias
@@ -19,4 +18,4 @@ def get(identifier: None) -> None: ...
 def get(identifier: str | dict[str, Any] | Regularizer) -> Regularizer: ...
 @overload
 def get(identifier: Callable[[Tensor], Tensor]) -> Callable[[Tensor], Tensor]: ...
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/linalg.pyi

@@ -1,4 +1,3 @@
-from _typeshed import Incomplete
 from builtins import bool as _bool
 from collections.abc import Iterable
 from typing import Literal, overload
@@ -53,4 +52,4 @@ def eye(
     name: str | None = None,
 ) -> Tensor: ...
 def band_part(input: TensorCompatible, num_lower: Integer, num_upper: Integer, name: str | None = None) -> Tensor: ...
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/math.pyi

@@ -1,4 +1,3 @@
-from _typeshed import Incomplete
 from collections.abc import Iterable
 from typing import TypeVar, overload
 from typing_extensions import TypeAlias
@@ -296,4 +295,4 @@ def count_nonzero(
     dtype: DTypeLike = ...,
     name: str | None = None,
 ) -> Tensor: ...
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/nn.pyi

@@ -1,4 +1,3 @@
-from _typeshed import Incomplete
 from collections.abc import Sequence
 from typing import Any, Literal, overload
 
@@ -192,4 +191,4 @@ def safe_embedding_lookup_sparse(
     name: str | None = None,
     allow_fast_lookup: bool = False,
 ) -> Tensor: ...
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/python/__init__.pyi

@@ -1,3 +1 @@
-from _typeshed import Incomplete
-
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/python/distribute/distribute_lib.pyi

@@ -2,4 +2,4 @@ from _typeshed import Incomplete
 
 Strategy = Incomplete
 
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/python/keras/__init__.pyi

@@ -1,3 +1 @@
-from _typeshed import Incomplete
-
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/python/trackable/resource.pyi

@@ -1,5 +1,3 @@
-from _typeshed import Incomplete
-
 from tensorflow.python.trackable.base import Trackable
 
 class _ResourceMetaclass(type): ...
@@ -8,4 +6,4 @@ class _ResourceMetaclass(type): ...
 # it is needed for the public signatures of some APIs.
 class CapturableResource(Trackable, metaclass=_ResourceMetaclass): ...
 
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/raw_ops.pyi

@@ -1,4 +1,3 @@
-from _typeshed import Incomplete
 from typing import Literal
 
 from tensorflow import Operation, Tensor
@@ -42,4 +41,4 @@ def ResourceApplyAdam(
     use_nesterov: bool = False,
     name: str | None = None,
 ) -> Operation: ...
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/sparse.pyi

@@ -28,4 +28,4 @@ class SparseTensor(metaclass=ABCMeta):
     def __mul__(self, y: _SparseTensorCompatible) -> SparseTensor: ...
     def __getattr__(self, name: str) -> Incomplete: ...
 
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/train/__init__.pyi

@@ -72,4 +72,4 @@ class CheckpointManager:
 def latest_checkpoint(checkpoint_dir: str, latest_filename: str | None = None) -> str: ...
 def load_variable(ckpt_dir_or_file: str, name: str) -> np.ndarray[Any, Any]: ...
 def list_variables(ckpt_dir_or_file: str) -> list[tuple[str, list[int]]]: ...
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/train/experimental.pyi

@@ -1,5 +1,4 @@
 import abc
-from _typeshed import Incomplete
 from typing_extensions import Self
 
 from tensorflow.python.trackable.base import Trackable
@@ -10,4 +9,4 @@ class PythonState(Trackable, metaclass=abc.ABCMeta):
     @abc.abstractmethod
     def deserialize(self, string_value: str) -> Self: ...
 
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module

stubs/tensorflow/tensorflow/types/experimental.pyi

@@ -1,5 +1,4 @@
 import abc
-from _typeshed import Incomplete
 from typing import Any, Generic, TypeVar, overload
 from typing_extensions import ParamSpec
 
@@ -28,4 +27,4 @@ class PolymorphicFunction(Callable[_P, _R_co], metaclass=abc.ABCMeta):
 
 GenericFunction = PolymorphicFunction
 
-def __getattr__(name: str) -> Incomplete: ...
+def __getattr__(name: str): ...  # incomplete module