Server IP : 66.29.132.122 / Your IP : 18.119.132.236 Web Server : LiteSpeed System : Linux business142.web-hosting.com 4.18.0-553.lve.el8.x86_64 #1 SMP Mon May 27 15:27:34 UTC 2024 x86_64 User : admazpex ( 531) PHP Version : 7.2.34 Disable Function : NONE MySQL : OFF | cURL : ON | WGET : ON | Perl : ON | Python : ON | Sudo : OFF | Pkexec : OFF Directory : /proc/self/root/opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/_typing/ |
Upload File : |
"""Private counterpart of ``numpy.typing``.""" from __future__ import annotations from .. import ufunc from .._utils import set_module from typing import TYPE_CHECKING, final @final # Disallow the creation of arbitrary `NBitBase` subclasses @set_module("numpy.typing") class NBitBase: """ A type representing `numpy.number` precision during static type checking. Used exclusively for the purpose static type checking, `NBitBase` represents the base of a hierarchical set of subclasses. Each subsequent subclass is herein used for representing a lower level of precision, *e.g.* ``64Bit > 32Bit > 16Bit``. .. versionadded:: 1.20 Examples -------- Below is a typical usage example: `NBitBase` is herein used for annotating a function that takes a float and integer of arbitrary precision as arguments and returns a new float of whichever precision is largest (*e.g.* ``np.float16 + np.int64 -> np.float64``). .. code-block:: python >>> from __future__ import annotations >>> from typing import TypeVar, TYPE_CHECKING >>> import numpy as np >>> import numpy.typing as npt >>> T1 = TypeVar("T1", bound=npt.NBitBase) >>> T2 = TypeVar("T2", bound=npt.NBitBase) >>> def add(a: np.floating[T1], b: np.integer[T2]) -> np.floating[T1 | T2]: ... return a + b >>> a = np.float16() >>> b = np.int64() >>> out = add(a, b) >>> if TYPE_CHECKING: ... reveal_locals() ... # note: Revealed local types are: ... # note: a: numpy.floating[numpy.typing._16Bit*] ... # note: b: numpy.signedinteger[numpy.typing._64Bit*] ... # note: out: numpy.floating[numpy.typing._64Bit*] """ def __init_subclass__(cls) -> None: allowed_names = { "NBitBase", "_256Bit", "_128Bit", "_96Bit", "_80Bit", "_64Bit", "_32Bit", "_16Bit", "_8Bit", } if cls.__name__ not in allowed_names: raise TypeError('cannot inherit from final class "NBitBase"') super().__init_subclass__() # Silence errors about subclassing a `@final`-decorated class class _256Bit(NBitBase): # type: ignore[misc] pass class _128Bit(_256Bit): # type: ignore[misc] pass class _96Bit(_128Bit): # type: ignore[misc] pass class _80Bit(_96Bit): # type: ignore[misc] pass class _64Bit(_80Bit): # type: ignore[misc] pass class _32Bit(_64Bit): # type: ignore[misc] pass class _16Bit(_32Bit): # type: ignore[misc] pass class _8Bit(_16Bit): # type: ignore[misc] pass from ._nested_sequence import ( _NestedSequence as _NestedSequence, ) from ._nbit import ( _NBitByte as _NBitByte, _NBitShort as _NBitShort, _NBitIntC as _NBitIntC, _NBitIntP as _NBitIntP, _NBitInt as _NBitInt, _NBitLongLong as _NBitLongLong, _NBitHalf as _NBitHalf, _NBitSingle as _NBitSingle, _NBitDouble as _NBitDouble, _NBitLongDouble as _NBitLongDouble, ) from ._char_codes import ( _BoolCodes as _BoolCodes, _UInt8Codes as _UInt8Codes, _UInt16Codes as _UInt16Codes, _UInt32Codes as _UInt32Codes, _UInt64Codes as _UInt64Codes, _Int8Codes as _Int8Codes, _Int16Codes as _Int16Codes, _Int32Codes as _Int32Codes, _Int64Codes as _Int64Codes, _Float16Codes as _Float16Codes, _Float32Codes as _Float32Codes, _Float64Codes as _Float64Codes, _Complex64Codes as _Complex64Codes, _Complex128Codes as _Complex128Codes, _ByteCodes as _ByteCodes, _ShortCodes as _ShortCodes, _IntCCodes as _IntCCodes, _IntPCodes as _IntPCodes, _IntCodes as _IntCodes, _LongLongCodes as _LongLongCodes, _UByteCodes as _UByteCodes, _UShortCodes as _UShortCodes, _UIntCCodes as _UIntCCodes, _UIntPCodes as _UIntPCodes, _UIntCodes as _UIntCodes, _ULongLongCodes as _ULongLongCodes, _HalfCodes as _HalfCodes, _SingleCodes as _SingleCodes, _DoubleCodes as _DoubleCodes, _LongDoubleCodes as _LongDoubleCodes, _CSingleCodes as _CSingleCodes, _CDoubleCodes as _CDoubleCodes, _CLongDoubleCodes as _CLongDoubleCodes, _DT64Codes as _DT64Codes, _TD64Codes as _TD64Codes, _StrCodes as _StrCodes, _BytesCodes as _BytesCodes, _VoidCodes as _VoidCodes, _ObjectCodes as _ObjectCodes, ) from ._scalars import ( _CharLike_co as _CharLike_co, _BoolLike_co as _BoolLike_co, _UIntLike_co as _UIntLike_co, _IntLike_co as _IntLike_co, _FloatLike_co as _FloatLike_co, _ComplexLike_co as _ComplexLike_co, _TD64Like_co as _TD64Like_co, _NumberLike_co as _NumberLike_co, _ScalarLike_co as _ScalarLike_co, _VoidLike_co as _VoidLike_co, ) from ._shape import ( _Shape as _Shape, _ShapeLike as _ShapeLike, ) from ._dtype_like import ( DTypeLike as DTypeLike, _DTypeLike as _DTypeLike, _SupportsDType as _SupportsDType, _VoidDTypeLike as _VoidDTypeLike, _DTypeLikeBool as _DTypeLikeBool, _DTypeLikeUInt as _DTypeLikeUInt, _DTypeLikeInt as _DTypeLikeInt, _DTypeLikeFloat as _DTypeLikeFloat, _DTypeLikeComplex as _DTypeLikeComplex, _DTypeLikeTD64 as _DTypeLikeTD64, _DTypeLikeDT64 as _DTypeLikeDT64, _DTypeLikeObject as _DTypeLikeObject, _DTypeLikeVoid as _DTypeLikeVoid, _DTypeLikeStr as _DTypeLikeStr, _DTypeLikeBytes as _DTypeLikeBytes, _DTypeLikeComplex_co as _DTypeLikeComplex_co, ) from ._array_like import ( NDArray as NDArray, ArrayLike as ArrayLike, _ArrayLike as _ArrayLike, _FiniteNestedSequence as _FiniteNestedSequence, _SupportsArray as _SupportsArray, _SupportsArrayFunc as _SupportsArrayFunc, _ArrayLikeInt as _ArrayLikeInt, _ArrayLikeBool_co as _ArrayLikeBool_co, _ArrayLikeUInt_co as _ArrayLikeUInt_co, _ArrayLikeInt_co as _ArrayLikeInt_co, _ArrayLikeFloat_co as _ArrayLikeFloat_co, _ArrayLikeComplex_co as _ArrayLikeComplex_co, _ArrayLikeNumber_co as _ArrayLikeNumber_co, _ArrayLikeTD64_co as _ArrayLikeTD64_co, _ArrayLikeDT64_co as _ArrayLikeDT64_co, _ArrayLikeObject_co as _ArrayLikeObject_co, _ArrayLikeVoid_co as _ArrayLikeVoid_co, _ArrayLikeStr_co as _ArrayLikeStr_co, _ArrayLikeBytes_co as _ArrayLikeBytes_co, _ArrayLikeUnknown as _ArrayLikeUnknown, _UnknownType as _UnknownType, ) if TYPE_CHECKING: from ._ufunc import ( _UFunc_Nin1_Nout1 as _UFunc_Nin1_Nout1, _UFunc_Nin2_Nout1 as _UFunc_Nin2_Nout1, _UFunc_Nin1_Nout2 as _UFunc_Nin1_Nout2, _UFunc_Nin2_Nout2 as _UFunc_Nin2_Nout2, _GUFunc_Nin2_Nout1 as _GUFunc_Nin2_Nout1, ) else: # Declare the (type-check-only) ufunc subclasses as ufunc aliases during # runtime; this helps autocompletion tools such as Jedi (numpy/numpy#19834) _UFunc_Nin1_Nout1 = ufunc _UFunc_Nin2_Nout1 = ufunc _UFunc_Nin1_Nout2 = ufunc _UFunc_Nin2_Nout2 = ufunc _GUFunc_Nin2_Nout1 = ufunc