Added weights option to fillnumpy function

Author: mbaak

histogrammar/defs.py

@@ -1351,9 +1351,9 @@ def _c99StorageType(self):
     def _cudaStorageType(self):
         return self._c99StructName()
 
-    def fillnumpy(self, data):
+    def fillnumpy(self, data, weights=1.0):
         self._checkForCrossReferences()
-        self._numpy(data, 1.0, [None])
+        self._numpy(data, weights, shape=[None])
 
     def _checkNPQuantity(self, q, shape):
         import numpy

histogrammar/primitives/count.py

@@ -207,7 +207,7 @@ def _cudaUnpackAndFill(self, data, bigendian, alignment):
     def _cudaStorageType(self):
         return "float"
 
-    def _numpy(self, data, weights, shape):
+    def _numpy(self, _, weights, shape):
         import numpy
         if isinstance(weights, numpy.ndarray):
             assert len(weights.shape) == 1