Coverage for /scratch/builds/bob/bob.med.tb/miniconda/conda-bld/bob.med.tb_1637571489937/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeho/lib/python3.8/site-packages/bob/med/tb/configs/datasets/mc_ch/__init__.py: 100%

Shortcuts on this page

r m x   toggle line displays

j k   next/prev highlighted chunk

0   (zero) top of page

1   (one) first highlighted chunk

77 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 import default as mc 

10 from ..shenzhen import default as ch 

11 elif protocol == "rgb": 

12 from ..montgomery import rgb as mc 

13 from ..shenzhen import rgb as ch 

14 elif protocol == "fold_0": 

15 from ..montgomery import fold_0 as mc 

16 from ..shenzhen import fold_0 as ch 

17 elif protocol == "fold_1": 

18 from ..montgomery import fold_1 as mc 

19 from ..shenzhen import fold_1 as ch 

20 elif protocol == "fold_2": 

21 from ..montgomery import fold_2 as mc 

22 from ..shenzhen import fold_2 as ch 

23 elif protocol == "fold_3": 

24 from ..montgomery import fold_3 as mc 

25 from ..shenzhen import fold_3 as ch 

26 elif protocol == "fold_4": 

27 from ..montgomery import fold_4 as mc 

28 from ..shenzhen import fold_4 as ch 

29 elif protocol == "fold_5": 

30 from ..montgomery import fold_5 as mc 

31 from ..shenzhen import fold_5 as ch 

32 elif protocol == "fold_6": 

33 from ..montgomery import fold_6 as mc 

34 from ..shenzhen import fold_6 as ch 

35 elif protocol == "fold_7": 

36 from ..montgomery import fold_7 as mc 

37 from ..shenzhen import fold_7 as ch 

38 elif protocol == "fold_8": 

39 from ..montgomery import fold_8 as mc 

40 from ..shenzhen import fold_8 as ch 

41 elif protocol == "fold_9": 

42 from ..montgomery import fold_9 as mc 

43 from ..shenzhen import fold_9 as ch 

44 elif protocol == "fold_0_rgb": 

45 from ..montgomery import fold_0_rgb as mc 

46 from ..shenzhen import fold_0_rgb as ch 

47 elif protocol == "fold_1_rgb": 

48 from ..montgomery import fold_1_rgb as mc 

49 from ..shenzhen import fold_1_rgb as ch 

50 elif protocol == "fold_2_rgb": 

51 from ..montgomery import fold_2_rgb as mc 

52 from ..shenzhen import fold_2_rgb as ch 

53 elif protocol == "fold_3_rgb": 

54 from ..montgomery import fold_3_rgb as mc 

55 from ..shenzhen import fold_3_rgb as ch 

56 elif protocol == "fold_4_rgb": 

57 from ..montgomery import fold_4_rgb as mc 

58 from ..shenzhen import fold_4_rgb as ch 

59 elif protocol == "fold_5_rgb": 

60 from ..montgomery import fold_5_rgb as mc 

61 from ..shenzhen import fold_5_rgb as ch 

62 elif protocol == "fold_6_rgb": 

63 from ..montgomery import fold_6_rgb as mc 

64 from ..shenzhen import fold_6_rgb as ch 

65 elif protocol == "fold_7_rgb": 

66 from ..montgomery import fold_7_rgb as mc 

67 from ..shenzhen import fold_7_rgb as ch 

68 elif protocol == "fold_8_rgb": 

69 from ..montgomery import fold_8_rgb as mc 

70 from ..shenzhen import fold_8_rgb as ch 

71 elif protocol == "fold_9_rgb": 

72 from ..montgomery import fold_9_rgb as mc 

73 from ..shenzhen import fold_9_rgb as ch 

74 

75 mc = mc.dataset 

76 ch = ch.dataset 

77 

78 dataset = {} 

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

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

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

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

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

84 

85 return dataset