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56 statements  

1#!/usr/bin/env python 

2# coding=utf-8 

3 

4from torch.utils.data.dataset import ConcatDataset 

5 

6def _maker(protocol): 

7 

8 if protocol == "default": 

9 from ..montgomery_RS import default as mc 

10 from ..shenzhen_RS import default as ch 

11 from ..indian_RS import default as indian 

12 elif protocol == "fold_0": 

13 from ..montgomery_RS import fold_0 as mc 

14 from ..shenzhen_RS import fold_0 as ch 

15 from ..indian_RS import fold_0 as indian 

16 elif protocol == "fold_1": 

17 from ..montgomery_RS import fold_1 as mc 

18 from ..shenzhen_RS import fold_1 as ch 

19 from ..indian_RS import fold_1 as indian 

20 elif protocol == "fold_2": 

21 from ..montgomery_RS import fold_2 as mc 

22 from ..shenzhen_RS import fold_2 as ch 

23 from ..indian_RS import fold_2 as indian 

24 elif protocol == "fold_3": 

25 from ..montgomery_RS import fold_3 as mc 

26 from ..shenzhen_RS import fold_3 as ch 

27 from ..indian_RS import fold_3 as indian 

28 elif protocol == "fold_4": 

29 from ..montgomery_RS import fold_4 as mc 

30 from ..shenzhen_RS import fold_4 as ch 

31 from ..indian_RS import fold_4 as indian 

32 elif protocol == "fold_5": 

33 from ..montgomery_RS import fold_5 as mc 

34 from ..shenzhen_RS import fold_5 as ch 

35 from ..indian_RS import fold_5 as indian 

36 elif protocol == "fold_6": 

37 from ..montgomery_RS import fold_6 as mc 

38 from ..shenzhen_RS import fold_6 as ch 

39 from ..indian_RS import fold_6 as indian 

40 elif protocol == "fold_7": 

41 from ..montgomery_RS import fold_7 as mc 

42 from ..shenzhen_RS import fold_7 as ch 

43 from ..indian_RS import fold_7 as indian 

44 elif protocol == "fold_8": 

45 from ..montgomery_RS import fold_8 as mc 

46 from ..shenzhen_RS import fold_8 as ch 

47 from ..indian_RS import fold_8 as indian 

48 elif protocol == "fold_9": 

49 from ..montgomery_RS import fold_9 as mc 

50 from ..shenzhen_RS import fold_9 as ch 

51 from ..indian_RS import fold_9 as indian 

52 

53 mc = mc.dataset 

54 ch = ch.dataset 

55 indian = indian.dataset 

56 

57 dataset = {} 

58 dataset['__train__'] = ConcatDataset([mc["__train__"], ch["__train__"], indian["__train__"]]) 

59 dataset['train'] = ConcatDataset([mc["train"], ch["train"], indian["train"]]) 

60 dataset['__valid__'] = ConcatDataset([mc["__valid__"], ch["__valid__"], indian["__valid__"]]) 

61 dataset['validation'] = ConcatDataset([mc["validation"], ch["validation"], indian["validation"]]) 

62 dataset['test'] = ConcatDataset([mc["test"], ch["test"], indian["test"]]) 

63 

64 return dataset