Current Path: > > opt > cloudlinux > venv > lib64 > python3.11 > > site-packages > numpy > lib
Operation : Linux premium131.web-hosting.com 4.18.0-553.44.1.lve.el8.x86_64 #1 SMP Thu Mar 13 14:29:12 UTC 2025 x86_64 Software : Apache Server IP : 162.0.232.56 | Your IP: 216.73.216.111 Domains : 1034 Domain(s) Permission : [ 0755 ]
Name | Type | Size | Last Modified | Actions |
---|---|---|---|---|
__pycache__ | Directory | - | - | |
tests | Directory | - | - | |
__init__.py | File | 2763 bytes | April 17 2025 13:10:58. | |
__init__.pyi | File | 5596 bytes | April 17 2025 13:10:58. | |
_datasource.py | File | 22631 bytes | April 17 2025 13:10:58. | |
_iotools.py | File | 30868 bytes | April 17 2025 13:10:58. | |
_version.py | File | 4855 bytes | April 17 2025 13:10:58. | |
_version.pyi | File | 633 bytes | April 17 2025 13:10:58. | |
arraypad.py | File | 31803 bytes | April 17 2025 13:10:58. | |
arraypad.pyi | File | 1728 bytes | April 17 2025 13:10:58. | |
arraysetops.py | File | 33655 bytes | April 17 2025 13:10:58. | |
arraysetops.pyi | File | 8337 bytes | April 17 2025 13:10:58. | |
arrayterator.py | File | 7063 bytes | April 17 2025 13:10:58. | |
arrayterator.pyi | File | 1537 bytes | April 17 2025 13:10:58. | |
format.py | File | 34769 bytes | April 17 2025 13:10:58. | |
format.pyi | File | 748 bytes | April 17 2025 13:10:58. | |
function_base.py | File | 189103 bytes | April 17 2025 13:10:58. | |
function_base.pyi | File | 16585 bytes | April 17 2025 13:10:58. | |
histograms.py | File | 37697 bytes | April 17 2025 13:10:58. | |
histograms.pyi | File | 995 bytes | April 17 2025 13:10:58. | |
index_tricks.py | File | 31346 bytes | April 17 2025 13:10:58. | |
index_tricks.pyi | File | 4251 bytes | April 17 2025 13:10:58. | |
mixins.py | File | 7071 bytes | April 17 2025 13:10:58. | |
mixins.pyi | File | 3117 bytes | April 17 2025 13:10:58. | |
nanfunctions.py | File | 65775 bytes | April 17 2025 13:10:58. | |
nanfunctions.pyi | File | 606 bytes | April 17 2025 13:10:58. | |
npyio.py | File | 97316 bytes | April 17 2025 13:10:58. | |
npyio.pyi | File | 9728 bytes | April 17 2025 13:10:58. | |
polynomial.py | File | 44133 bytes | April 17 2025 13:10:58. | |
polynomial.pyi | File | 6958 bytes | April 17 2025 13:10:58. | |
recfunctions.py | File | 59423 bytes | April 17 2025 13:10:58. | |
scimath.py | File | 15037 bytes | April 17 2025 13:10:58. | |
scimath.pyi | File | 2883 bytes | April 17 2025 13:10:58. | |
setup.py | File | 405 bytes | April 17 2025 13:10:58. | |
shape_base.py | File | 38947 bytes | April 17 2025 13:10:58. | |
shape_base.pyi | File | 5184 bytes | April 17 2025 13:10:58. | |
stride_tricks.py | File | 17911 bytes | April 17 2025 13:10:58. | |
stride_tricks.pyi | File | 1747 bytes | April 17 2025 13:10:58. | |
twodim_base.py | File | 32947 bytes | April 17 2025 13:10:58. | |
twodim_base.pyi | File | 5370 bytes | April 17 2025 13:10:58. | |
type_check.py | File | 19954 bytes | April 17 2025 13:10:58. | |
type_check.pyi | File | 5571 bytes | April 17 2025 13:10:58. | |
ufunclike.py | File | 6325 bytes | April 17 2025 13:10:58. | |
ufunclike.pyi | File | 1293 bytes | April 17 2025 13:10:58. | |
user_array.py | File | 7721 bytes | April 17 2025 13:10:58. | |
utils.py | File | 37804 bytes | April 17 2025 13:10:58. | |
utils.pyi | File | 2360 bytes | April 17 2025 13:10:58. |
from typing import ( Literal as L, overload, Any, SupportsInt, SupportsIndex, TypeVar, NoReturn, ) from numpy import ( RankWarning as RankWarning, poly1d as poly1d, unsignedinteger, signedinteger, floating, complexfloating, bool_, int32, int64, float64, complex128, object_, ) from numpy._typing import ( NDArray, ArrayLike, _ArrayLikeBool_co, _ArrayLikeUInt_co, _ArrayLikeInt_co, _ArrayLikeFloat_co, _ArrayLikeComplex_co, _ArrayLikeObject_co, ) _T = TypeVar("_T") _2Tup = tuple[_T, _T] _5Tup = tuple[ _T, NDArray[float64], NDArray[int32], NDArray[float64], NDArray[float64], ] __all__: list[str] def poly(seq_of_zeros: ArrayLike) -> NDArray[floating[Any]]: ... # Returns either a float or complex array depending on the input values. # See `np.linalg.eigvals`. def roots(p: ArrayLike) -> NDArray[complexfloating[Any, Any]] | NDArray[floating[Any]]: ... @overload def polyint( p: poly1d, m: SupportsInt | SupportsIndex = ..., k: None | _ArrayLikeComplex_co | _ArrayLikeObject_co = ..., ) -> poly1d: ... @overload def polyint( p: _ArrayLikeFloat_co, m: SupportsInt | SupportsIndex = ..., k: None | _ArrayLikeFloat_co = ..., ) -> NDArray[floating[Any]]: ... @overload def polyint( p: _ArrayLikeComplex_co, m: SupportsInt | SupportsIndex = ..., k: None | _ArrayLikeComplex_co = ..., ) -> NDArray[complexfloating[Any, Any]]: ... @overload def polyint( p: _ArrayLikeObject_co, m: SupportsInt | SupportsIndex = ..., k: None | _ArrayLikeObject_co = ..., ) -> NDArray[object_]: ... @overload def polyder( p: poly1d, m: SupportsInt | SupportsIndex = ..., ) -> poly1d: ... @overload def polyder( p: _ArrayLikeFloat_co, m: SupportsInt | SupportsIndex = ..., ) -> NDArray[floating[Any]]: ... @overload def polyder( p: _ArrayLikeComplex_co, m: SupportsInt | SupportsIndex = ..., ) -> NDArray[complexfloating[Any, Any]]: ... @overload def polyder( p: _ArrayLikeObject_co, m: SupportsInt | SupportsIndex = ..., ) -> NDArray[object_]: ... @overload def polyfit( x: _ArrayLikeFloat_co, y: _ArrayLikeFloat_co, deg: SupportsIndex | SupportsInt, rcond: None | float = ..., full: L[False] = ..., w: None | _ArrayLikeFloat_co = ..., cov: L[False] = ..., ) -> NDArray[float64]: ... @overload def polyfit( x: _ArrayLikeComplex_co, y: _ArrayLikeComplex_co, deg: SupportsIndex | SupportsInt, rcond: None | float = ..., full: L[False] = ..., w: None | _ArrayLikeFloat_co = ..., cov: L[False] = ..., ) -> NDArray[complex128]: ... @overload def polyfit( x: _ArrayLikeFloat_co, y: _ArrayLikeFloat_co, deg: SupportsIndex | SupportsInt, rcond: None | float = ..., full: L[False] = ..., w: None | _ArrayLikeFloat_co = ..., cov: L[True, "unscaled"] = ..., ) -> _2Tup[NDArray[float64]]: ... @overload def polyfit( x: _ArrayLikeComplex_co, y: _ArrayLikeComplex_co, deg: SupportsIndex | SupportsInt, rcond: None | float = ..., full: L[False] = ..., w: None | _ArrayLikeFloat_co = ..., cov: L[True, "unscaled"] = ..., ) -> _2Tup[NDArray[complex128]]: ... @overload def polyfit( x: _ArrayLikeFloat_co, y: _ArrayLikeFloat_co, deg: SupportsIndex | SupportsInt, rcond: None | float = ..., full: L[True] = ..., w: None | _ArrayLikeFloat_co = ..., cov: bool | L["unscaled"] = ..., ) -> _5Tup[NDArray[float64]]: ... @overload def polyfit( x: _ArrayLikeComplex_co, y: _ArrayLikeComplex_co, deg: SupportsIndex | SupportsInt, rcond: None | float = ..., full: L[True] = ..., w: None | _ArrayLikeFloat_co = ..., cov: bool | L["unscaled"] = ..., ) -> _5Tup[NDArray[complex128]]: ... @overload def polyval( p: _ArrayLikeBool_co, x: _ArrayLikeBool_co, ) -> NDArray[int64]: ... @overload def polyval( p: _ArrayLikeUInt_co, x: _ArrayLikeUInt_co, ) -> NDArray[unsignedinteger[Any]]: ... @overload def polyval( p: _ArrayLikeInt_co, x: _ArrayLikeInt_co, ) -> NDArray[signedinteger[Any]]: ... @overload def polyval( p: _ArrayLikeFloat_co, x: _ArrayLikeFloat_co, ) -> NDArray[floating[Any]]: ... @overload def polyval( p: _ArrayLikeComplex_co, x: _ArrayLikeComplex_co, ) -> NDArray[complexfloating[Any, Any]]: ... @overload def polyval( p: _ArrayLikeObject_co, x: _ArrayLikeObject_co, ) -> NDArray[object_]: ... @overload def polyadd( a1: poly1d, a2: _ArrayLikeComplex_co | _ArrayLikeObject_co, ) -> poly1d: ... @overload def polyadd( a1: _ArrayLikeComplex_co | _ArrayLikeObject_co, a2: poly1d, ) -> poly1d: ... @overload def polyadd( a1: _ArrayLikeBool_co, a2: _ArrayLikeBool_co, ) -> NDArray[bool_]: ... @overload def polyadd( a1: _ArrayLikeUInt_co, a2: _ArrayLikeUInt_co, ) -> NDArray[unsignedinteger[Any]]: ... @overload def polyadd( a1: _ArrayLikeInt_co, a2: _ArrayLikeInt_co, ) -> NDArray[signedinteger[Any]]: ... @overload def polyadd( a1: _ArrayLikeFloat_co, a2: _ArrayLikeFloat_co, ) -> NDArray[floating[Any]]: ... @overload def polyadd( a1: _ArrayLikeComplex_co, a2: _ArrayLikeComplex_co, ) -> NDArray[complexfloating[Any, Any]]: ... @overload def polyadd( a1: _ArrayLikeObject_co, a2: _ArrayLikeObject_co, ) -> NDArray[object_]: ... @overload def polysub( a1: poly1d, a2: _ArrayLikeComplex_co | _ArrayLikeObject_co, ) -> poly1d: ... @overload def polysub( a1: _ArrayLikeComplex_co | _ArrayLikeObject_co, a2: poly1d, ) -> poly1d: ... @overload def polysub( a1: _ArrayLikeBool_co, a2: _ArrayLikeBool_co, ) -> NoReturn: ... @overload def polysub( a1: _ArrayLikeUInt_co, a2: _ArrayLikeUInt_co, ) -> NDArray[unsignedinteger[Any]]: ... @overload def polysub( a1: _ArrayLikeInt_co, a2: _ArrayLikeInt_co, ) -> NDArray[signedinteger[Any]]: ... @overload def polysub( a1: _ArrayLikeFloat_co, a2: _ArrayLikeFloat_co, ) -> NDArray[floating[Any]]: ... @overload def polysub( a1: _ArrayLikeComplex_co, a2: _ArrayLikeComplex_co, ) -> NDArray[complexfloating[Any, Any]]: ... @overload def polysub( a1: _ArrayLikeObject_co, a2: _ArrayLikeObject_co, ) -> NDArray[object_]: ... # NOTE: Not an alias, but they do have the same signature (that we can reuse) polymul = polyadd @overload def polydiv( u: poly1d, v: _ArrayLikeComplex_co | _ArrayLikeObject_co, ) -> _2Tup[poly1d]: ... @overload def polydiv( u: _ArrayLikeComplex_co | _ArrayLikeObject_co, v: poly1d, ) -> _2Tup[poly1d]: ... @overload def polydiv( u: _ArrayLikeFloat_co, v: _ArrayLikeFloat_co, ) -> _2Tup[NDArray[floating[Any]]]: ... @overload def polydiv( u: _ArrayLikeComplex_co, v: _ArrayLikeComplex_co, ) -> _2Tup[NDArray[complexfloating[Any, Any]]]: ... @overload def polydiv( u: _ArrayLikeObject_co, v: _ArrayLikeObject_co, ) -> _2Tup[NDArray[Any]]: ...
SILENT KILLER Tool