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Hi,
I use nptyping, and I needed it to work with numpy 2.x, hence I just copied the code in my repo and referenced it.
The types from the file typing_.py that work for both new and old numpy are:
typing_.py
try: from typing import ( # type: ignore[attr-defined,misc] # pylint: disable=unused-import Literal, TypeAlias, TypeGuard, final, ) except ImportError: # pragma: no cover from typing_extensions import ( # type: ignore[attr-defined,misc] Literal, TypeAlias, TypeGuard, final, ) from typing import Tuple, Union import numpy as np ShapeExpression: TypeAlias = str StructureExpression: TypeAlias = str DType: TypeAlias = Union[np.generic, StructureExpression] ShapeTuple: TypeAlias = Tuple[int, ...] Number = np.number Bool = np.bool_ Bool8 = np.bool_ Obj = np.object_ # Obj is a common abbreviation and should be usable. Object = np.object_ Object0 = np.object_ Datetime64 = np.datetime64 Integer = np.integer SignedInteger = np.signedinteger Int8 = np.int8 Int16 = np.int16 Int32 = np.int32 Int64 = np.int64 Byte = np.byte Short = np.short IntC = np.intc IntP = np.intp Int0 = np.int8 Int = np.integer # Int should translate to the "generic" int type. Int_ = np.int_ LongLong = np.longlong Timedelta64 = np.timedelta64 UnsignedInteger = np.unsignedinteger UInt8 = np.uint8 UInt16 = np.uint16 UInt32 = np.uint32 UInt64 = np.uint64 UByte = np.ubyte UShort = np.ushort UIntC = np.uintc UIntP = np.uintp UInt0 = np.uint UInt = np.uint ULongLong = np.ulonglong Inexact = np.inexact Floating = np.floating Float16 = np.float16 Float32 = np.float32 Float64 = np.float64 Half = np.half Single = np.single Double = np.double Float = np.float64 LongDouble = np.longdouble LongFloat = np.longdouble ComplexFloating = np.complexfloating Complex64 = np.complex64 Complex128 = np.complex128 CSingle = np.csingle SingleComplex = np.complex64 CDouble = np.cdouble Complex = np.complex128 CFloat = np.complex128 CLongDouble = np.clongdouble CLongFloat = np.clongdouble LongComplex = np.clongdouble Flexible = np.flexible Void = np.void Void0 = np.void Character = np.character Bytes = np.bytes_ Str = np.str_ String = np.bytes_ Bytes0 = np.bytes_ Unicode = np.str_ Str0 = np.str_ dtypes = [ (Number, "Number"), (Bool, "Bool"), (Bool8, "Bool8"), (Obj, "Obj"), (Object, "Object"), (Object0, "Object0"), (Datetime64, "Datetime64"), (Integer, "Integer"), (SignedInteger, "SignedInteger"), (Int8, "Int8"), (Int16, "Int16"), (Int32, "Int32"), (Int64, "Int64"), (Byte, "Byte"), (Short, "Short"), (IntC, "IntC"), (IntP, "IntP"), (Int0, "Int0"), (Int, "Int"), (LongLong, "LongLong"), (Timedelta64, "Timedelta64"), (UnsignedInteger, "UnsignedInteger"), (UInt8, "UInt8"), (UInt16, "UInt16"), (UInt32, "UInt32"), (UInt64, "UInt64"), (UByte, "UByte"), (UShort, "UShort"), (UIntC, "UIntC"), (UIntP, "UIntP"), (UInt0, "UInt0"), (UInt, "UInt"), (ULongLong, "ULongLong"), (Inexact, "Inexact"), (Floating, "Floating"), (Float16, "Float16"), (Float32, "Float32"), (Float64, "Float64"), (Half, "Half"), (Single, "Single"), (Double, "Double"), (Float, "Float"), (LongDouble, "LongDouble"), (LongFloat, "LongFloat"), (ComplexFloating, "ComplexFloating"), (Complex64, "Complex64"), (Complex128, "Complex128"), (CSingle, "CSingle"), (SingleComplex, "SingleComplex"), (CDouble, "CDouble"), (Complex, "Complex"), (CFloat, "CFloat"), (CLongDouble, "CLongDouble"), (CLongFloat, "CLongFloat"), (LongComplex, "LongComplex"), (Flexible, "Flexible"), (Void, "Void"), (Void0, "Void0"), (Character, "Character"), (Bytes, "Bytes"), (String, "String"), (Str, "Str"), (Bytes0, "Bytes0"), (Unicode, "Unicode"), (Str0, "Str0"), ] name_per_dtype = dict(dtypes) dtype_per_name = {name: dtype for dtype, name in dtypes}
Would be cool if you fix it and push, otherwise here it is for others to use.
The text was updated successfully, but these errors were encountered:
Would make my life also easier!
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Hi,
I use nptyping, and I needed it to work with numpy 2.x, hence I just copied the code in my repo and referenced it.
The types from the file
typing_.py
that work for both new and old numpy are:Would be cool if you fix it and push, otherwise here it is for others to use.
The text was updated successfully, but these errors were encountered: