def __shuffled(self):
shuffel_corpus = OrderedDict()
shuffe_keys = list(self.__corpus.keys())
np_shuffle(shuffe_keys)
for key in shuffe_keys:
shuffel_corpus[key] = self.__corpus.get(key)
self.__corpus = shuffel_corpus
def randomize_matrix(data, savefig=None):
size = len(data)
rand_data = copy(data)
for d in xrange(size):
diag = zip(*[range(d, size), range(size - d)])
rdiag = diag[:]
np_shuffle(rdiag)
for v in xrange(len(diag)):
val = data[diag[v][0]][diag[v][1]]
a, b = rdiag[v][0], rdiag[v][1]
rand_data[b][a] = rand_data[a][b] = val
if savefig:
plt.subplot(211)
plt.imshow(log2(data), interpolation='none')
plt.subplot(212)
plt.imshow(log2(rand_data), interpolation='none')
plt.savefig(savefig, format='pdf')
plt.close('all')
return rand_data
def shuffle(array):
np_shuffle(array)
# Store a copy of the array for the assert
mock_context['shuffled_array'] = array.copy()
def shuffle(array):
np_shuffle(array)
# Store a copy of the array for the assert
mock_context['shuffled_array'] = array.copy()