feat: add Camera Work AI package

This commit is contained in:
KINDNICK
2026-08-03 04:42:44 +09:00
parent 26c578416f
commit 02d76bc87c
2187 changed files with 119610 additions and 1 deletions
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This directory contains bundled external dependencies that are updated
every once in a while.
Note for distribution packagers: if you want to remove the duplicated
code and depend on a packaged version, we suggest that you simply do a
symbolic link in this directory.
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MIT License
Copyright (c) 2022 Consortium for Python Data API Standards
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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Update this directory using maint_tools/vendor_array_api_compat.sh
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MIT License
Copyright (c) 2024 Consortium for Python Data API Standards
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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Update this directory using maint_tools/vendor_array_api_extra.sh
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"""Static type stubs for `_compat.py`."""
# https://github.com/scikit-learn/scikit-learn/pull/27910#issuecomment-2568023972
from __future__ import annotations
from types import ModuleType
# TODO import from typing (requires Python >=3.13)
from typing_extensions import TypeIs
from ._typing import Array, Device
# pylint: disable=missing-class-docstring,unused-argument
class Namespace(ModuleType):
def device(self, x: Array, /) -> Device: ...
def array_namespace(
*xs: Array | complex | None,
api_version: str | None = None,
use_compat: bool | None = None,
) -> Namespace: ...
def device(x: Array, /) -> Device: ...
def is_array_api_obj(x: object, /) -> TypeIs[Array]: ...
def is_array_api_strict_namespace(xp: ModuleType, /) -> TypeIs[Namespace]: ...
def is_cupy_namespace(xp: ModuleType, /) -> TypeIs[Namespace]: ...
def is_dask_namespace(xp: ModuleType, /) -> TypeIs[Namespace]: ...
def is_jax_namespace(xp: ModuleType, /) -> TypeIs[Namespace]: ...
def is_numpy_namespace(xp: ModuleType, /) -> TypeIs[Namespace]: ...
def is_pydata_sparse_namespace(xp: ModuleType, /) -> TypeIs[Namespace]: ...
def is_torch_namespace(xp: ModuleType, /) -> TypeIs[Namespace]: ...
def is_cupy_array(x: object, /) -> TypeIs[Array]: ...
def is_dask_array(x: object, /) -> TypeIs[Array]: ...
def is_jax_array(x: object, /) -> TypeIs[Array]: ...
def is_numpy_array(x: object, /) -> TypeIs[Array]: ...
def is_pydata_sparse_array(x: object, /) -> TypeIs[Array]: ...
def is_torch_array(x: object, /) -> TypeIs[Array]: ...
def is_lazy_array(x: object, /) -> TypeIs[Array]: ...
def is_writeable_array(x: object, /) -> TypeIs[Array]: ...
def size(x: Array, /) -> int | None: ...
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"""Static typing helpers."""
from __future__ import annotations
from types import EllipsisType
from typing import Protocol, TypeAlias
# TODO import from typing (requires Python >=3.12)
from typing_extensions import override
# TODO: use array-api-typing once it is available
class Array(Protocol): # pylint: disable=missing-class-docstring
# Unary operations
def __abs__(self) -> Array: ...
def __pos__(self) -> Array: ...
def __neg__(self) -> Array: ...
def __invert__(self) -> Array: ...
# Binary operations
def __add__(self, other: Array | complex, /) -> Array: ...
def __sub__(self, other: Array | complex, /) -> Array: ...
def __mul__(self, other: Array | complex, /) -> Array: ...
def __truediv__(self, other: Array | complex, /) -> Array: ...
def __floordiv__(self, other: Array | complex, /) -> Array: ...
def __mod__(self, other: Array | complex, /) -> Array: ...
def __pow__(self, other: Array | complex, /) -> Array: ...
def __matmul__(self, other: Array, /) -> Array: ...
def __and__(self, other: Array | int, /) -> Array: ...
def __or__(self, other: Array | int, /) -> Array: ...
def __xor__(self, other: Array | int, /) -> Array: ...
def __lshift__(self, other: Array | int, /) -> Array: ...
def __rshift__(self, other: Array | int, /) -> Array: ...
def __lt__(self, other: Array | complex, /) -> Array: ...
def __le__(self, other: Array | complex, /) -> Array: ...
def __gt__(self, other: Array | complex, /) -> Array: ...
def __ge__(self, other: Array | complex, /) -> Array: ...
@override
def __eq__(self, other: Array | complex, /) -> Array: ... # type: ignore[override] # pyright: ignore[reportIncompatibleMethodOverride]
@override
def __ne__(self, other: Array | complex, /) -> Array: ... # type: ignore[override] # pyright: ignore[reportIncompatibleMethodOverride]
# Reflected operations
def __radd__(self, other: Array | complex, /) -> Array: ...
def __rsub__(self, other: Array | complex, /) -> Array: ...
def __rmul__(self, other: Array | complex, /) -> Array: ...
def __rtruediv__(self, other: Array | complex, /) -> Array: ...
def __rfloordiv__(self, other: Array | complex, /) -> Array: ...
def __rmod__(self, other: Array | complex, /) -> Array: ...
def __rpow__(self, other: Array | complex, /) -> Array: ...
def __rmatmul__(self, other: Array, /) -> Array: ...
def __rand__(self, other: Array | int, /) -> Array: ...
def __ror__(self, other: Array | int, /) -> Array: ...
def __rxor__(self, other: Array | int, /) -> Array: ...
def __rlshift__(self, other: Array | int, /) -> Array: ...
def __rrshift__(self, other: Array | int, /) -> Array: ...
# Attributes
@property
def dtype(self) -> DType: ...
@property
def device(self) -> Device: ...
@property
def mT(self) -> Array: ... # pylint: disable=invalid-name
@property
def ndim(self) -> int: ...
@property
def shape(self) -> tuple[int | None, ...]: ...
@property
def size(self) -> int | None: ...
@property
def T(self) -> Array: ... # pylint: disable=invalid-name
# Collection operations (note: an Array does not have to be Sized or Iterable)
def __getitem__(self, key: GetIndex, /) -> Array: ...
def __setitem__(self, key: SetIndex, value: Array | complex, /) -> None: ...
# Materialization methods (may raise on lazy arrays)
def __bool__(self) -> bool: ...
def __complex__(self) -> complex: ...
def __float__(self) -> float: ...
def __index__(self) -> int: ...
def __int__(self) -> int: ...
# Misc methods (frequently not implemented in Arrays wrapped by array-api-compat)
# def __array_namespace__(*, api_version: str | None) -> ModuleType: ...
# def __dlpack__(
# *,
# stream: int | Any | None = None,
# max_version: tuple[int, int] | None = None,
# dl_device: tuple[int, int] | None = None, # tuple[Enum, int]
# copy: bool | None = None,
# ) -> Any: ...
# def __dlpack_device__() -> tuple[int, int]: ... # tuple[Enum, int]
# def to_device(device: Device, /, *, stream: int | Any | None = None) -> Array: ...
class DType(Protocol): # pylint: disable=missing-class-docstring
pass
class Device(Protocol): # pylint: disable=missing-class-docstring
pass
SetIndex: TypeAlias = ( # type: ignore[explicit-any]
int | slice | EllipsisType | Array | tuple[int | slice | EllipsisType | Array, ...]
)
GetIndex: TypeAlias = ( # type: ignore[explicit-any]
SetIndex | None | tuple[int | slice | EllipsisType | None | Array, ...]
)
__all__ = ["Array", "DType", "Device", "GetIndex", "SetIndex"]