File Manager

X7ROOT File Manager

Current Path: /opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/core

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

?? ..
?? __init__.py(5.64 KB)
?? __init__.pyi(126 B)
?? __pycache__
?? _add_newdocs.py(204.07 KB)
?? _add_newdocs_scalars.py(11.82 KB)
?? _asarray.py(3.79 KB)
?? _asarray.pyi(1.06 KB)
?? _dtype.py(10.36 KB)
?? _dtype_ctypes.py(3.59 KB)
?? _exceptions.py(5.25 KB)
?? _internal.py(27.68 KB)
?? _internal.pyi(1.01 KB)
?? _machar.py(11.29 KB)
?? _methods.py(8.41 KB)
?? _multiarray_tests.cpython-311-x86_64-linux-gnu.so(171.4 KB)
?? _multiarray_umath.cpython-311-x86_64-linux-gnu.so(6.64 MB)
?? _operand_flag_tests.cpython-311-x86_64-linux-gnu.so(16.55 KB)
?? _rational_tests.cpython-311-x86_64-linux-gnu.so(58.29 KB)
?? _simd.cpython-311-x86_64-linux-gnu.so(2.47 MB)
?? _string_helpers.py(2.79 KB)
?? _struct_ufunc_tests.cpython-311-x86_64-linux-gnu.so(16.65 KB)
?? _type_aliases.py(7.36 KB)
?? _type_aliases.pyi(404 B)
?? _ufunc_config.py(13.62 KB)
?? _ufunc_config.pyi(1.04 KB)
?? _umath_tests.cpython-311-x86_64-linux-gnu.so(41.01 KB)
?? arrayprint.py(62.12 KB)
?? arrayprint.pyi(4.32 KB)
?? cversions.py(347 B)
?? defchararray.py(71.89 KB)
?? defchararray.pyi(9 KB)
?? einsumfunc.py(50.65 KB)
?? einsumfunc.pyi(4.75 KB)
?? fromnumeric.py(125.8 KB)
?? fromnumeric.pyi(22.96 KB)
?? function_base.py(19.37 KB)
?? function_base.pyi(4.61 KB)
?? generate_numpy_api.py(7.47 KB)
?? getlimits.py(25.26 KB)
?? getlimits.pyi(82 B)
?? include
?? lib
?? memmap.py(11.5 KB)
?? memmap.pyi(55 B)
?? multiarray.py(54.78 KB)
?? multiarray.pyi(24.19 KB)
?? numeric.py(75.21 KB)
?? numeric.pyi(13.9 KB)
?? numerictypes.py(17.67 KB)
?? numerictypes.pyi(3.19 KB)
?? overrides.py(6.93 KB)
?? records.py(36.65 KB)
?? records.pyi(5.56 KB)
?? setup.py(47.05 KB)
?? setup_common.py(16.68 KB)
?? shape_base.py(29.05 KB)
?? shape_base.pyi(2.71 KB)
?? tests
?? umath.py(1.99 KB)
?? umath_tests.py(389 B)

Editing: einsumfunc.pyi

from collections.abc import Sequence
from typing import TypeVar, Any, overload, Union, Literal

from numpy import (
    ndarray,
    dtype,
    bool_,
    number,
    _OrderKACF,
)
from numpy._typing import (
    _ArrayLikeBool_co,
    _ArrayLikeUInt_co,
    _ArrayLikeInt_co,
    _ArrayLikeFloat_co,
    _ArrayLikeComplex_co,
    _ArrayLikeObject_co,
    _DTypeLikeBool,
    _DTypeLikeUInt,
    _DTypeLikeInt,
    _DTypeLikeFloat,
    _DTypeLikeComplex,
    _DTypeLikeComplex_co,
    _DTypeLikeObject,
)

_ArrayType = TypeVar(
    "_ArrayType",
    bound=ndarray[Any, dtype[Union[bool_, number[Any]]]],
)

_OptimizeKind = None | bool | Literal["greedy", "optimal"] | Sequence[Any]
_CastingSafe = Literal["no", "equiv", "safe", "same_kind"]
_CastingUnsafe = Literal["unsafe"]

__all__: list[str]

# TODO: Properly handle the `casting`-based combinatorics
# TODO: We need to evaluate the content `__subscripts` in order
# to identify whether or an array or scalar is returned. At a cursory
# glance this seems like something that can quite easily be done with
# a mypy plugin.
# Something like `is_scalar = bool(__subscripts.partition("->")[-1])`
@overload
def einsum(
    subscripts: str | _ArrayLikeInt_co,
    /,
    *operands: _ArrayLikeBool_co,
    out: None = ...,
    dtype: None | _DTypeLikeBool = ...,
    order: _OrderKACF = ...,
    casting: _CastingSafe = ...,
    optimize: _OptimizeKind = ...,
) -> Any: ...
@overload
def einsum(
    subscripts: str | _ArrayLikeInt_co,
    /,
    *operands: _ArrayLikeUInt_co,
    out: None = ...,
    dtype: None | _DTypeLikeUInt = ...,
    order: _OrderKACF = ...,
    casting: _CastingSafe = ...,
    optimize: _OptimizeKind = ...,
) -> Any: ...
@overload
def einsum(
    subscripts: str | _ArrayLikeInt_co,
    /,
    *operands: _ArrayLikeInt_co,
    out: None = ...,
    dtype: None | _DTypeLikeInt = ...,
    order: _OrderKACF = ...,
    casting: _CastingSafe = ...,
    optimize: _OptimizeKind = ...,
) -> Any: ...
@overload
def einsum(
    subscripts: str | _ArrayLikeInt_co,
    /,
    *operands: _ArrayLikeFloat_co,
    out: None = ...,
    dtype: None | _DTypeLikeFloat = ...,
    order: _OrderKACF = ...,
    casting: _CastingSafe = ...,
    optimize: _OptimizeKind = ...,
) -> Any: ...
@overload
def einsum(
    subscripts: str | _ArrayLikeInt_co,
    /,
    *operands: _ArrayLikeComplex_co,
    out: None = ...,
    dtype: None | _DTypeLikeComplex = ...,
    order: _OrderKACF = ...,
    casting: _CastingSafe = ...,
    optimize: _OptimizeKind = ...,
) -> Any: ...
@overload
def einsum(
    subscripts: str | _ArrayLikeInt_co,
    /,
    *operands: Any,
    casting: _CastingUnsafe,
    dtype: None | _DTypeLikeComplex_co = ...,
    out: None = ...,
    order: _OrderKACF = ...,
    optimize: _OptimizeKind = ...,
) -> Any: ...
@overload
def einsum(
    subscripts: str | _ArrayLikeInt_co,
    /,
    *operands: _ArrayLikeComplex_co,
    out: _ArrayType,
    dtype: None | _DTypeLikeComplex_co = ...,
    order: _OrderKACF = ...,
    casting: _CastingSafe = ...,
    optimize: _OptimizeKind = ...,
) -> _ArrayType: ...
@overload
def einsum(
    subscripts: str | _ArrayLikeInt_co,
    /,
    *operands: Any,
    out: _ArrayType,
    casting: _CastingUnsafe,
    dtype: None | _DTypeLikeComplex_co = ...,
    order: _OrderKACF = ...,
    optimize: _OptimizeKind = ...,
) -> _ArrayType: ...

@overload
def einsum(
    subscripts: str | _ArrayLikeInt_co,
    /,
    *operands: _ArrayLikeObject_co,
    out: None = ...,
    dtype: None | _DTypeLikeObject = ...,
    order: _OrderKACF = ...,
    casting: _CastingSafe = ...,
    optimize: _OptimizeKind = ...,
) -> Any: ...
@overload
def einsum(
    subscripts: str | _ArrayLikeInt_co,
    /,
    *operands: Any,
    casting: _CastingUnsafe,
    dtype: None | _DTypeLikeObject = ...,
    out: None = ...,
    order: _OrderKACF = ...,
    optimize: _OptimizeKind = ...,
) -> Any: ...
@overload
def einsum(
    subscripts: str | _ArrayLikeInt_co,
    /,
    *operands: _ArrayLikeObject_co,
    out: _ArrayType,
    dtype: None | _DTypeLikeObject = ...,
    order: _OrderKACF = ...,
    casting: _CastingSafe = ...,
    optimize: _OptimizeKind = ...,
) -> _ArrayType: ...
@overload
def einsum(
    subscripts: str | _ArrayLikeInt_co,
    /,
    *operands: Any,
    out: _ArrayType,
    casting: _CastingUnsafe,
    dtype: None | _DTypeLikeObject = ...,
    order: _OrderKACF = ...,
    optimize: _OptimizeKind = ...,
) -> _ArrayType: ...

# NOTE: `einsum_call` is a hidden kwarg unavailable for public use.
# It is therefore excluded from the signatures below.
# NOTE: In practice the list consists of a `str` (first element)
# and a variable number of integer tuples.
def einsum_path(
    subscripts: str | _ArrayLikeInt_co,
    /,
    *operands: _ArrayLikeComplex_co | _DTypeLikeObject,
    optimize: _OptimizeKind = ...,
) -> tuple[list[Any], str]: ...

X7ROOT File Manager

Editing: einsumfunc.pyi

Upload File

Create Folder