Fixed tests.

wafo/kdetools/gridding.py

@@ -181,10 +181,10 @@ def accum(accmap, a, func=None, shape=None, fill_value=0, dtype=None):
 
     def create_array_of_python_lists(accmap, a, shape):
         vals = np.empty(shape, dtype='O')
-        for s in product(*[np.arange(k) for k in shape]):
+        for s in product(*[list(range(k)) for k in shape]):
             vals[s] = []
 
-        for s in product(*[np.arange(k) for k in a.shape]):
+        for s in product(*[list(range(k)) for k in a.shape]):
             indx = tuple(accmap[s])
             val = a[s]
             vals[indx].append(val)

wafo/misc.py

@@ -94,7 +94,7 @@ def valarray(shape, value=np.NaN, typecode=None):
     return out
 
 
-def piecewise(condlist, funclist, xi=None, fillvalue=0.0, args=(), **kw):
+def piecewise(condlist, funclist, xi=None, fill_value=0.0, args=(), **kw):
     """
     Evaluate a piecewise-defined function.
 
@@ -193,8 +193,8 @@ def piecewise(condlist, funclist, xi=None, fillvalue=0.0, args=(), **kw):
 
     def check_shapes(condlist, funclist):
         nc, nf = len(condlist), len(funclist)
-        _assert(nc in [nf - 1, nf], "function list and condition list"
-                             " must be the same length")
+        _assert(nc in [nf - 1, nf],
+                "function list and condition list must be the same length")
 
     check_shapes(condlist, funclist)
 
@@ -210,7 +210,7 @@ def piecewise(condlist, funclist, xi=None, fillvalue=0.0, args=(), **kw):
         arrays = np.broadcast_arrays(*xi)
         dtype = np.result_type(*arrays)
 
-    out = valarray(condlist[0].shape, fillvalue, dtype)
+    out = valarray(condlist[0].shape, fill_value, dtype)
     for cond, func in zip(condlist, funclist):
         if cond.any():
             if isinstance(func, collections.Callable):

wafo/numba_misc.py

@@ -4,7 +4,7 @@ Created on 6. okt. 2016
 @author: pab
 """
 from __future__ import absolute_import, division
-from numba import guvectorize, jit, float64, int64, int32, int8, void
+from numba import jit, float64, int64, int32, int8, void
 import numpy as np