FM / array

/opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/array_api/

/opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/array_api

Name	Size	Mode	Actions
tests/	-	0755	rm
__pycache__/	-	0755	rm
linalg.py	18221	0644	edit dl rm
setup.py	341	0644	edit dl rm
_array_object.py	43739	0644	edit dl rm
_constants.py	66	0644	edit dl rm
_creation_functions.py	10050	0644	edit dl rm
_data_type_functions.py	6288	0644	edit dl rm
_dtypes.py	4823	0644	edit dl rm
_elementwise_functions.py	25992	0644	edit dl rm
_indexing_functions.py	601	0644	edit dl rm
_manipulation_functions.py	3317	0644	edit dl rm
_searching_functions.py	1715	0644	edit dl rm
_set_functions.py	2948	0644	edit dl rm
_sorting_functions.py	2031	0644	edit dl rm
_statistical_functions.py	3584	0644	edit dl rm
_typing.py	1228	0644	edit dl rm
_utility_functions.py	824	0644	edit dl rm
__init__.py	10355	0644	edit dl rm

Edit: /opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/array_api/_typing.py (1228B)

"""
This file defines the types for type annotations.

These names aren't part of the module namespace, but they are used in the
annotations in the function signatures. The functions in the module are only
valid for inputs that match the given type annotations.
"""

from __future__ import annotations

__all__ = [
    "Array",
    "Device",
    "Dtype",
    "SupportsDLPack",
    "SupportsBufferProtocol",
    "PyCapsule",
]

from typing import (
    Any,
    Literal,
    Sequence,
    Type,
    Union,
    TypeVar,
    Protocol,
)

from ._array_object import Array
from numpy import (
    dtype,
    int8,
    int16,
    int32,
    int64,
    uint8,
    uint16,
    uint32,
    uint64,
    float32,
    float64,
)

_T_co = TypeVar("_T_co", covariant=True)

class NestedSequence(Protocol[_T_co]):
    def __getitem__(self, key: int, /) -> _T_co | NestedSequence[_T_co]: ...
    def __len__(self, /) -> int: ...

Device = Literal["cpu"]

Dtype = dtype[Union[
    int8,
    int16,
    int32,
    int64,
    uint8,
    uint16,
    uint32,
    uint64,
    float32,
    float64,
]]

SupportsBufferProtocol = Any
PyCapsule = Any

class SupportsDLPack(Protocol):
    def __dlpack__(self, /, *, stream: None = ...) -> PyCapsule: ...

""" This file defines the types for type annotations. These names aren't part of the module namespace, but they are used in the annotations in the function signatures. The functions in the module are only valid for inputs that match the given type annotations. """ from __future__ import annotations __all__ = [ "Array", "Device", "Dtype", "SupportsDLPack", "SupportsBufferProtocol", "PyCapsule", ] from typing import ( Any, Literal, Sequence, Type, Union, TypeVar, Protocol, ) from ._array_object import Array from numpy import ( dtype, int8, int16, int32, int64, uint8, uint16, uint32, uint64, float32, float64, ) _T_co = TypeVar("_T_co", covariant=True) class NestedSequence(Protocol[_T_co]): def __getitem__(self, key: int, /) -> _T_co | NestedSequence[_T_co]: ... def __len__(self, /) -> int: ... Device = Literal["cpu"] Dtype = dtype[Union[ int8, int16, int32, int64, uint8, uint16, uint32, uint64, float32, float64, ]] SupportsBufferProtocol = Any PyCapsule = Any class SupportsDLPack(Protocol): def __dlpack__(self, /, *, stream: None = ...) -> PyCapsule: ...