line length tweaks

Author: garrettwrong

src/aspire/operators/wemd.py

@@ -2,9 +2,12 @@
 Wavelet-based approximate Earthmover's distance (EMD) for n-dimensional signals.
 
 This code is based on the following paper:
-    Sameer Shirdhonkar and David W. Jacobs. "Approximate earth mover’s distance in linear time." 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
+    Sameer Shirdhonkar and David W. Jacobs.
+    "Approximate earth mover’s distance in linear time."
+    2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
 
-More details are available in their technical report: CAR-TR-1025 CS-TR-4908 UMIACS-TR-2008-06.
+More details are available in their technical report:
+    CAR-TR-1025 CS-TR-4908 UMIACS-TR-2008-06.
 """
 
 import numpy as np
@@ -14,8 +17,9 @@
 def wemd_embed(arr, wavelet, level):
     """
     This function computes an embedding of Numpy arrays such that
-    for non-negative arrays that sum to one, the L1 distance between the resulting embeddings
-    is strongly equivalent to the Earthmover distance of the arrays.
+    for non-negative arrays that sum to one, the L1 distance between the
+    resulting embeddings is strongly equivalent to the Earthmover distance
+    of the arrays.
 
     :param arr: Numpy array
     :param level: Decomposition level of the wavelets
@@ -43,7 +47,8 @@ def wemd_embed(arr, wavelet, level):
 
 def wemd_norm(arr, wavelet, level):
     """
-    Wavelet-based norm used to approximate the Earthmover's distance between mass distributions specified as Numpy arrays (typically images or volumes).
+    Wavelet-based norm used to approximate the Earthmover's distance between
+    mass distributions specified as Numpy arrays (typically images or volumes).
 
     :param arr: Numpy array of the difference between the two mass distributions.
     :param level: Decomposition level of the wavelets
@@ -53,5 +58,6 @@ def wemd_norm(arr, wavelet, level):
     See https://pywavelets.readthedocs.io/en/latest/ref/wavelets.html#built-in-wavelets-wavelist
     :return: Approximated Earthmover's Distance
     """
+
     coefs = wemd_embed(arr, wavelet, level)
     return np.linalg.norm(coefs, ord=1)