remove unused padding functions

fixes #40 (closed)

src/hotopy/holo/_util.py

@@ -2,7 +2,6 @@
 Author: Jens Lucht
 """
 
-from math import ceil, floor
 from itertools import combinations
 
 from scipy.fft import fft2, ifft2
@@ -19,50 +18,6 @@ def _freq_filter2(x, filter):
     return np.real(ifft2(fft2(x) * filter))
 
 
-def padwidth(imshape, padshape):
-    """
-    Difference of padded shape and image shape
-    """
-    return (np.asarray(padshape) - np.asarray(imshape)).astype(int)
-
-
-def symmetric_padding(imshape, padding):
-    """
-    Shape of image when padded with padding
-    """
-    # padding = [0, *padwidth(imshape, padshape)]  # do not pad in 1st dim in stack of holograms
-    return [[floor(p / 2), ceil(p / 2)] for p in padding]
-
-
-def crops(shape):
-    """
-    Crop array to given shape
-
-    Parameters
-    ----------
-    shape : shape[ tuple, sequence ]
-        Shape of unpadded, i.e. original, data, which shape should be recovered.
-
-    Returns
-    -------
-    Tuple of slices similar to np.s_ which can be directly used for array indexing.
-    Example:
-        arr[crops((2,2)] returns arr[0:2, 0:2]
-    """
-    return tuple([slice(0, dim) for dim in shape])
-
-
-def croppad(padding):
-    """
-    Crops padding in [(before, after), ...] per axis manner.
-
-    See for example np.pad.
-    """
-    return tuple(
-        [slice(before if before else None, -after if after else None) for before, after in padding]
-    )
-
-
 def check_fresnel_number(
     images, fresnel_number_expected, betadelta=0.0, num_minima=10, labels=None, ax=None
 ):