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- import numpy as np
- def nn_interp(input_arr):
- shape = np.shape(input_arr)
- n_shape = np.size(shape)
-
- if(n_shape < 2):
- print('error. cant do nn_interp on arrays with rank < 2')
- sys.exit()
-
- else:
- iter_arr = np.ma.copy(input_arr)
-
- while( np.count_nonzero(iter_arr.mask) > 0 ):
- for shift in (-1,1):
- for axis in (-1,-2):
- arr_shifted=np.roll(iter_arr,shift=shift,axis=axis)
- idx=~arr_shifted.mask * iter_arr.mask
- iter_arr[idx]=arr_shifted[idx]
- return iter_arr
-
-
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