Coverage for nilearn/image/__init__.py: 100%

3 statements  

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1"""Mathematical operations working on Niimg-like objects. 

2 

3Like, for example, a (3+)D block of data, and an affine. 

4""" 

5 

6from .image import ( 

7 binarize_img, 

8 clean_img, 

9 concat_imgs, 

10 copy_img, 

11 crop_img, 

12 get_data, 

13 high_variance_confounds, 

14 index_img, 

15 iter_img, 

16 largest_connected_component_img, 

17 load_img, 

18 math_img, 

19 mean_img, 

20 new_img_like, 

21 smooth_img, 

22 swap_img_hemispheres, 

23 threshold_img, 

24) 

25from .resampling import ( 

26 coord_transform, 

27 reorder_img, 

28 resample_img, 

29 resample_to_img, 

30) 

31 

32__all__ = [ 

33 "binarize_img", 

34 "clean_img", 

35 "concat_imgs", 

36 "coord_transform", 

37 "copy_img", 

38 "crop_img", 

39 "get_data", 

40 "high_variance_confounds", 

41 "index_img", 

42 "iter_img", 

43 "largest_connected_component_img", 

44 "load_img", 

45 "math_img", 

46 "mean_img", 

47 "new_img_like", 

48 "reorder_img", 

49 "resample_img", 

50 "resample_to_img", 

51 "smooth_img", 

52 "swap_img_hemispheres", 

53 "threshold_img", 

54]