Set PowerSpace.weight to bin-volume.

nifty/spaces/power_space/power_space.py

@@ -85,10 +85,9 @@ class PowerSpace(Space):
     # ---Overwritten properties and methods---
 
     def __init__(self, harmonic_partner, distribution_strategy=None,
-                 volume_type='rho', binbounds=None):
+                 binbounds=None):
         super(PowerSpace, self).__init__()
-        self._needed_for_hash += ['_harmonic_partner', '_binbounds',
-                                  'volume_type']
+        self._needed_for_hash += ['_harmonic_partner', '_binbounds']
 
         if distribution_strategy is None:
             distribution_strategy = gc['default_distribution_strategy']
@@ -127,8 +126,6 @@ class PowerSpace(Space):
         (self._binbounds, self._pindex, self._kindex, self._rho) = \
             self._powerIndexCache[key]
 
-        self.volume_type = str(volume_type)
-
     @staticmethod
     def _compute_pindex(harmonic_partner, distance_array, binbounds,
                         distribution_strategy):
@@ -201,25 +198,14 @@ class PowerSpace(Space):
                               binbounds=self._binbounds)
 
     def weight(self, x, power, axes, inplace=False):
-        if self.volume_type == 'unit':
-            if inplace:
-                return x
-            else:
-                return x.copy()
-
-        if self.volume_type == 'rho':
-            weight = self.rho
-
-        elif self.volume_type == 'volume':
         try:
             weight = self._volume_weight
         except AttributeError:
-                k = self.kindex
-                weight = np.empty_like(k)
-                weight[1:-1] = (k[2:] - k[:-2])/2
-                weight[0] = k[1] - k[0]
-                weight[-1] = k[-1] - k[-2]
-                self._volume_weight = weight
+            from ...field import Field
+            weight_field = Field(domain=self.harmonic_partner, val=1).weight()
+            self._volume_weight = \
+                self.pindex.bincount(weights=weight_field.val).get_full_data()
+            weight = self._volume_weight
 
         reshaper = [1, ] * len(x.shape)
         # we know len(axes) is always 1