if isinstance(__Series, str): __Series = eval(__Series)
for member in __Series:
self.__V.store( numpy.matrix( numpy.asmatrix(member).A1, numpy.float ).T )
- import sys ; sys.stdout.flush()
else:
self.__V = __Series
if isinstance(self.__V.shape, (tuple, list)):
self.da_study.YI_prepare_to_pickle()
return pickle.dumps(self.da_study)
else:
- return pickle.dumps(self.da_study.getResults().prepare_to_pickle())
+ return pickle.dumps(self.da_study.YI_prepare_to_pickle())
# Obligatoire ???
def finish(self):