PATH: //opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/core
FILE_BARU
CREATE
FOLDER_BARU
MKDIR
UPLOAD_FILE
GO
[ .. KEMBALI ]
📄 __init__.py
↓
X
📄 __init__.pyi
↓
X
📁 __pycache__/
X
📄 _add_newdocs.py
↓
X
📄 _add_newdocs_scalars.py
↓
X
📄 _asarray.py
↓
X
📄 _asarray.pyi
↓
X
📄 _dtype.py
↓
X
📄 _dtype_ctypes.py
↓
X
📄 _exceptions.py
↓
X
📄 _internal.py
↓
X
📄 _internal.pyi
↓
X
📄 _machar.py
↓
X
📄 _methods.py
↓
X
📄 _multiarray_tests.cpython-311-x86_64-linux-gnu.so
↓
X
📄 _multiarray_umath.cpython-311-x86_64-linux-gnu.so
↓
X
📄 _operand_flag_tests.cpython-311-x86_64-linux-gnu.so
↓
X
📄 _rational_tests.cpython-311-x86_64-linux-gnu.so
↓
X
📄 _simd.cpython-311-x86_64-linux-gnu.so
↓
X
📄 _string_helpers.py
↓
X
📄 _struct_ufunc_tests.cpython-311-x86_64-linux-gnu.so
↓
X
📄 _type_aliases.py
↓
X
📄 _type_aliases.pyi
↓
X
📄 _ufunc_config.py
↓
X
📄 _ufunc_config.pyi
↓
X
📄 _umath_tests.cpython-311-x86_64-linux-gnu.so
↓
X
📄 arrayprint.py
↓
X
📄 arrayprint.pyi
↓
X
📄 cversions.py
↓
X
📄 defchararray.py
↓
X
📄 defchararray.pyi
↓
X
📄 einsumfunc.py
↓
X
📄 einsumfunc.pyi
↓
X
📄 fromnumeric.py
↓
X
📄 fromnumeric.pyi
↓
X
📄 function_base.py
↓
X
📄 function_base.pyi
↓
X
📄 generate_numpy_api.py
↓
X
📄 getlimits.py
↓
X
📄 getlimits.pyi
↓
X
📁 include/
X
📁 lib/
X
📄 memmap.py
↓
X
📄 memmap.pyi
↓
X
📄 multiarray.py
↓
X
📄 multiarray.pyi
↓
X
📄 numeric.py
↓
X
📄 numeric.pyi
↓
X
📄 numerictypes.py
↓
X
📄 numerictypes.pyi
↓
X
📄 overrides.py
↓
X
📄 records.py
↓
X
📄 records.pyi
↓
X
📄 setup.py
↓
X
📄 setup_common.py
↓
X
📄 shape_base.py
↓
X
📄 shape_base.pyi
↓
X
📁 tests/
X
📄 umath.py
↓
X
📄 umath_tests.py
↓
X
SAVING...
BERHASIL DIUBAH!
EDITING: shape_base.pyi
from collections.abc import Sequence from typing import TypeVar, overload, Any, SupportsIndex from numpy import generic, _CastingKind from numpy._typing import ( NDArray, ArrayLike, DTypeLike, _ArrayLike, _DTypeLike, ) _SCT = TypeVar("_SCT", bound=generic) _ArrayType = TypeVar("_ArrayType", bound=NDArray[Any]) __all__: list[str] @overload def atleast_1d(arys: _ArrayLike[_SCT], /) -> NDArray[_SCT]: ... @overload def atleast_1d(arys: ArrayLike, /) -> NDArray[Any]: ... @overload def atleast_1d(*arys: ArrayLike) -> list[NDArray[Any]]: ... @overload def atleast_2d(arys: _ArrayLike[_SCT], /) -> NDArray[_SCT]: ... @overload def atleast_2d(arys: ArrayLike, /) -> NDArray[Any]: ... @overload def atleast_2d(*arys: ArrayLike) -> list[NDArray[Any]]: ... @overload def atleast_3d(arys: _ArrayLike[_SCT], /) -> NDArray[_SCT]: ... @overload def atleast_3d(arys: ArrayLike, /) -> NDArray[Any]: ... @overload def atleast_3d(*arys: ArrayLike) -> list[NDArray[Any]]: ... @overload def vstack( tup: Sequence[_ArrayLike[_SCT]], *, dtype: None = ..., casting: _CastingKind = ... ) -> NDArray[_SCT]: ... @overload def vstack( tup: Sequence[ArrayLike], *, dtype: _DTypeLike[_SCT], casting: _CastingKind = ... ) -> NDArray[_SCT]: ... @overload def vstack( tup: Sequence[ArrayLike], *, dtype: DTypeLike = ..., casting: _CastingKind = ... ) -> NDArray[Any]: ... @overload def hstack( tup: Sequence[_ArrayLike[_SCT]], *, dtype: None = ..., casting: _CastingKind = ... ) -> NDArray[_SCT]: ... @overload def hstack( tup: Sequence[ArrayLike], *, dtype: _DTypeLike[_SCT], casting: _CastingKind = ... ) -> NDArray[_SCT]: ... @overload def hstack( tup: Sequence[ArrayLike], *, dtype: DTypeLike = ..., casting: _CastingKind = ... ) -> NDArray[Any]: ... @overload def stack( arrays: Sequence[_ArrayLike[_SCT]], axis: SupportsIndex = ..., out: None = ..., *, dtype: None = ..., casting: _CastingKind = ... ) -> NDArray[_SCT]: ... @overload def stack( arrays: Sequence[ArrayLike], axis: SupportsIndex = ..., out: None = ..., *, dtype: _DTypeLike[_SCT], casting: _CastingKind = ... ) -> NDArray[_SCT]: ... @overload def stack( arrays: Sequence[ArrayLike], axis: SupportsIndex = ..., out: None = ..., *, dtype: DTypeLike = ..., casting: _CastingKind = ... ) -> NDArray[Any]: ... @overload def stack( arrays: Sequence[ArrayLike], axis: SupportsIndex = ..., out: _ArrayType = ..., *, dtype: DTypeLike = ..., casting: _CastingKind = ... ) -> _ArrayType: ... @overload def block(arrays: _ArrayLike[_SCT]) -> NDArray[_SCT]: ... @overload def block(arrays: ArrayLike) -> NDArray[Any]: ...
SIMPAN PERUBAHAN