fix pylints

neurom/features/bifurcation.py

@@ -156,13 +156,17 @@ def sibling_ratio(bif_point, method='first'):
     if method not in {'first', 'mean'}:
         raise ValueError('Please provide a valid method for sibling ratio, found %s' % method)
 
+    n = m = 0
+
     if method == 'first':
         # the first point is the same as the parent last point
         n = bif_point.children[0].points[1, COLS.R]
         m = bif_point.children[1].points[1, COLS.R]
+
     if method == 'mean':
         n = neurom.features.section.section_mean_radius(bif_point.children[0])
         m = neurom.features.section.section_mean_radius(bif_point.children[1])
+
     return min(n, m) / max(n, m)
 
 
@@ -181,15 +185,19 @@ def diameter_power_relation(bif_point, method='first'):
     if method not in {'first', 'mean'}:
         raise ValueError('Please provide a valid method for sibling ratio, found %s' % method)
 
+    d_child = d_child1 = d_child2 = 0
+
     if method == 'first':
         # the first point is the same as the parent last point
         d_child = bif_point.points[-1, COLS.R]
         d_child1 = bif_point.children[0].points[1, COLS.R]
         d_child2 = bif_point.children[1].points[1, COLS.R]
+
     if method == 'mean':
         d_child = neurom.features.section.section_mean_radius(bif_point)
         d_child1 = neurom.features.section.section_mean_radius(bif_point.children[0])
         d_child2 = neurom.features.section.section_mean_radius(bif_point.children[1])
+
     return (d_child / d_child1) ** (1.5) + (d_child / d_child2) ** (1.5)
 
 

neurom/features/population.py

@@ -63,7 +63,7 @@ def sholl_frequency(morphs, neurite_type=NeuriteType.all, step_size=10, bins=Non
         morphs(list|Population): list of morphologies or morphology population
         neurite_type(NeuriteType): which neurites to operate on
         step_size(float): step size between Sholl radii
-        bins(Iterable[float]: custom binning to use for the Sholl radii.
+        bins(Iterable[float]): custom binning to use for the Sholl radii.
             If None, it uses intervals of step_size between min and max radii of ``morphs``.
         use_subtrees (bool): Enable mixed subtree processing.