numpy 1.11 does not properly set the flags for 1D arrays that are expanded via np.newaxis. This was allowing the 1D cape to work in numpy 1.11 but not in numpy 1.12. Fortran arrays are now directly created to ensure it works across numpy versions. Fixes #9.

src/wrf/specialdec.py

@@ -244,7 +244,6 @@ def cape_left_iter(alg_dtype=np.float64):
             flip = False
         
             if p_hpa[0] > p_hpa[-1]:
-                
                 flip = True
                 p_hpa = np.ascontiguousarray(p_hpa[::-1])
                 tk = np.ascontiguousarray(tk[::-1])
@@ -252,10 +251,13 @@ def cape_left_iter(alg_dtype=np.float64):
                 ht = np.ascontiguousarray(ht[::-1])
             
             # Need to make 3D views for the fortran code.
-            new_args[0] = p_hpa[:, np.newaxis, np.newaxis]
+            # Going to make these fortran ordered, since the f_contiguous and
-            new_args[1] = tk[:, np.newaxis, np.newaxis]
+            # c_contiguous flags are broken in numpy 1.11 (always false).  This 
-            new_args[2] = qv[:, np.newaxis, np.newaxis]
+            # should work across all numpy versions. 
-            new_args[3] = ht[:, np.newaxis, np.newaxis]
+            new_args[0] = p_hpa.reshape((1, 1, p_hpa.shape[0]), order='F')
+            new_args[1] = tk.reshape((1, 1, tk.shape[0]), order='F')
+            new_args[2] = qv.reshape((1, 1, qv.shape[0]), order='F')
+            new_args[3] = ht.reshape((1, 1, ht.shape[0]), order='F')
             new_args[4] = np.full((1,1), ter, orig_dtype)
             new_args[5] = np.full((1,1), sfp, orig_dtype)