|
| 1 | +import typing |
| 2 | +import numpy as np |
| 3 | +import pandas as pd |
| 4 | +from abc import abstractmethod |
| 5 | +import typing_extensions |
| 6 | + |
| 7 | +T = typing.TypeVar('T') |
| 8 | +S = typing.TypeVar('S') |
| 9 | + |
| 10 | + |
| 11 | +class Array(typing.Generic[T, S]): |
| 12 | + '''Annotation for np.ndarray |
| 13 | + Use square brackets to indicate type and dimension |
| 14 | + For example: Array[int, typing_extensions.Literal[4]]''' |
| 15 | + __slots__ = () |
| 16 | + |
| 17 | + @abstractmethod |
| 18 | + def __array__(self) -> np.ndarray: |
| 19 | + pass |
| 20 | + |
| 21 | + |
| 22 | +class Series(typing.Generic[T, S]): |
| 23 | + '''Annotation for pandas.Series |
| 24 | + For expample: Series[int, str] |
| 25 | + int - type of index |
| 26 | + str - type of value''' |
| 27 | + __slots__ = () |
| 28 | + |
| 29 | + @abstractmethod |
| 30 | + def __array__(self) -> pd.core.series.Series: |
| 31 | + pass |
| 32 | + |
| 33 | + |
| 34 | +class int8(typing_extensions.Protocol): |
| 35 | + """Annotation for int8""" |
| 36 | + @abstractmethod |
| 37 | + def __int__(self) -> int: |
| 38 | + pass |
| 39 | + |
| 40 | + |
| 41 | +class int16(typing_extensions.Protocol): |
| 42 | + """Annotation for int16""" |
| 43 | + @abstractmethod |
| 44 | + def __int__(self) -> int: |
| 45 | + pass |
| 46 | + |
| 47 | + |
| 48 | +class int32(typing_extensions.Protocol): |
| 49 | + """Annotation for int32""" |
| 50 | + @abstractmethod |
| 51 | + def __int__(self) -> int: |
| 52 | + pass |
| 53 | + |
| 54 | + |
| 55 | +class int64(typing_extensions.Protocol): |
| 56 | + """Annotation for int64""" |
| 57 | + @abstractmethod |
| 58 | + def __int__(self) -> int: |
| 59 | + pass |
| 60 | + |
| 61 | + |
| 62 | +class unint8(typing_extensions.Protocol): |
| 63 | + """Annotation for unsigned int8""" |
| 64 | + @abstractmethod |
| 65 | + def __int__(self) -> int: |
| 66 | + pass |
| 67 | + |
| 68 | + |
| 69 | +class unint16(typing_extensions.Protocol): |
| 70 | + """Annotation for unsigned int16""" |
| 71 | + @abstractmethod |
| 72 | + def __int__(self) -> int: |
| 73 | + pass |
| 74 | + |
| 75 | + |
| 76 | +class unint32(typing_extensions.Protocol): |
| 77 | + """Annotation for unsigned int32""" |
| 78 | + @abstractmethod |
| 79 | + def __int__(self) -> int: |
| 80 | + pass |
| 81 | + |
| 82 | + |
| 83 | +class unint64(typing_extensions.Protocol): |
| 84 | + """Annotation for unsigned int64""" |
| 85 | + @abstractmethod |
| 86 | + def __int__(self) -> int: |
| 87 | + pass |
| 88 | + |
| 89 | + |
| 90 | +class float32(typing_extensions.Protocol): |
| 91 | + """Annotation for float32""" |
| 92 | + @abstractmethod |
| 93 | + def __float__(self) -> float: |
| 94 | + pass |
| 95 | + |
| 96 | + |
| 97 | +class float64(typing_extensions.Protocol): |
| 98 | + """Annotation for float32""" |
| 99 | + @abstractmethod |
| 100 | + def __float__(self) -> float: |
| 101 | + pass |
| 102 | + |
| 103 | + |
| 104 | +number = typing.Union[int, float] # numba's number type |
| 105 | + |
| 106 | + |
| 107 | +T_int = typing.TypeVar('T_int', int8, int16, int32, int64) |
| 108 | +T_float = typing.TypeVar('T_float', float32, float64) |
| 109 | + |
| 110 | + |
| 111 | +class LiteralType(typing.Generic[T]): |
| 112 | + pass |
| 113 | + |
| 114 | + |
| 115 | +class PreferLiteralType(typing.Generic[T]): |
| 116 | + pass |
| 117 | + |
| 118 | + |
| 119 | +class PreferNonLiteralType(typing.Generic[T]): |
| 120 | + pass |
| 121 | + |
| 122 | + |
| 123 | +L_int = LiteralType[int] |
| 124 | +L_float = LiteralType[float] |
| 125 | + |
| 126 | +TL_int = LiteralType[T_int] |
| 127 | +TL_float = LiteralType[T_float] |
0 commit comments