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25 statements  

1from __future__ import annotations 

2 

3from collections.abc import Iterable, Mapping 

4from datetime import date, datetime, timedelta 

5from typing import Any, Optional, Union, Tuple, List, Dict 

6 

7from numpy import ndarray # TODO use ArrayLike? 

8from pandas import Series, Index, Timestamp, Timedelta 

9from matplotlib.colors import Colormap, Normalize 

10 

11 

12ColumnName = Union[ 

13 str, bytes, date, datetime, timedelta, bool, complex, Timestamp, Timedelta 

14] 

15Vector = Union[Series, Index, ndarray] 

16 

17VariableSpec = Union[ColumnName, Vector, None] 

18VariableSpecList = Union[List[VariableSpec], Index, None] 

19 

20# A DataSource can be an object implementing __dataframe__, or a Mapping 

21# (and is optional in all contexts where it is used). 

22# I don't think there's an abc for "has __dataframe__", so we type as object 

23# but keep the (slightly odd) Union alias for better user-facing annotations. 

24DataSource = Union[object, Mapping, None] 

25 

26OrderSpec = Union[Iterable, None] # TODO technically str is iterable 

27NormSpec = Union[Tuple[Optional[float], Optional[float]], Normalize, None] 

28 

29# TODO for discrete mappings, it would be ideal to use a parameterized type 

30# as the dict values / list entries should be of specific type(s) for each method 

31PaletteSpec = Union[str, list, dict, Colormap, None] 

32DiscreteValueSpec = Union[dict, list, None] 

33ContinuousValueSpec = Union[ 

34 Tuple[float, float], List[float], Dict[Any, float], None, 

35] 

36 

37 

38class Default: 

39 def __repr__(self): 

40 return "<default>" 

41 

42 

43class Deprecated: 

44 def __repr__(self): 

45 return "<deprecated>" 

46 

47 

48default = Default() 

49deprecated = Deprecated()