Implemented multidimensional data on fields.

nifty_mpi_data.py

@@ -348,7 +348,6 @@ class distributed_data_object(object):
             ## use common datatype for self and other
             new_dtype = np.dtype(np.find_common_type((self.dtype,),
                                                      (temp_data.dtype,))).type
-            print new_dtype                                                        
             temp_d2o = self.copy_empty(
                             dtype = new_dtype)
         temp_d2o.set_local_data(data=temp_data)

rg/nifty_rg.py

@@ -631,7 +631,7 @@ class rg_space(point_space):
             
             ## Check hermitianity/reality
             if self.paradict['complexity'] == 0:
-                if x.iscomplex().any() == False:
+                if x.iscomplex().any() == True:
                     about.warnings.cflush(\
                     "WARNING: Data is not completely real. Imaginary part "+\
                     "will be discarded!\n")
@@ -1314,7 +1314,6 @@ class rg_space(point_space):
 
         ## weight
         x =  x * self.get_weight(power = power)
-
         return x
 
     def get_weight(self, power = 1):