changed naming of distance_array to get_distance_array

nifty/spaces/gl_space/gl_space.py

@@ -153,16 +153,13 @@ class GLSpace(Space):
 
         return result_x
 
-    def distance_array(self, distribution_strategy):
-        dists = arange(
-            start=0, stop=self.shape[0],
-            distribution_strategy=distribution_strategy
-        )
+    def get_distance_array(self, distribution_strategy):
+        dists = arange(start=0, stop=self.shape[0],
+                       distribution_strategy=distribution_strategy)
 
         dists = dists.apply_scalar_function(
             lambda x: self._distance_array_helper(divmod(x, self.nlon)),
-            dtype=np.float
-        )
+            dtype=np.float)
 
         return dists
 

nifty/spaces/hp_space/hp_space.py

@@ -159,7 +159,7 @@ class HPSpace(Space):
 
         return result_x
 
-    def distance_array(self, distribution_strategy):
+    def get_distance_array(self, distribution_strategy):
         """
         Calculates distance from center to all the points on the sphere
 

nifty/spaces/power_space/power_indices.py

@@ -45,7 +45,7 @@ class PowerIndices(object):
         self.distribution_strategy = distribution_strategy
 
         # Compute the global k_array
-        self.k_array = self.domain.distance_array(distribution_strategy)
+        self.k_array = self.domain.get_distance_array(distribution_strategy)
         # Initialize the dictonary which stores all individual index-dicts
         self.global_dict = {}
         # Set self.default_parameters

nifty/spaces/power_space/power_space.py

@@ -105,10 +105,10 @@ class PowerSpace(Space):
 
         return result_x
 
-    def distance_array(self, distribution_strategy):
+    def get_distance_array(self, distribution_strategy):
         raise NotImplementedError(about._errors.cstring(
-            "ERROR: There is no distance_array implementation for PowerSpace.")
-            )
+            "ERROR: There is no get_distance_array implementation for "
+            "PowerSpace."))
 
     def get_smoothing_kernel_function(self, sigma):
         raise NotImplementedError(about._errors.cstring(

nifty/spaces/rg_space/rg_space.py

@@ -226,7 +226,7 @@ class RGSpace(Space):
             result_x = x*weight
         return result_x
 
-    def distance_array(self, distribution_strategy):
+    def get_distance_array(self, distribution_strategy):
         """
             Calculates an n-dimensional array with its entries being the
             lengths of the k-vectors from the zero point of the grid.

nifty/spaces/space/space.py

@@ -272,9 +272,10 @@ class Space(object):
         """
         raise NotImplementedError
 
-    def distance_array(self, distribution_strategy):
+    def get_distance_array(self, distribution_strategy):
         raise NotImplementedError(about._errors.cstring(
-            "ERROR: There is no generic distance_array for Space base class."))
+            "ERROR: There is no generic get_distance_array for "
+            "Space base class."))
 
     def get_smoothing_kernel_function(self, sigma):
         raise NotImplementedError(about._errors.cstring(