def testNetedLists(self):
values = [n + 0.01 for n in RANGE]
list_values = [values, values]
new_list_values = roundValues(list_values, 1)
for lst in new_list_values:
self.assertTrue(list(lst), RANGE)
def testSimple(self):
values = [n + 0.01 for n in RANGE]
new_values = roundValues(values, 1)
self.assertTrue(list(new_values) == RANGE)
new_values = roundValues(values, 2)
self.assertTrue(list(new_values) == list(values))
def test1(self): groups, values = groupBy([self.df['cat1']], self.df['cc']) self.assertTrue(set(groups) == set(CAT1)) self.assertEqual(len(values), len(groups)) self.assertTrue(list(roundValues(values[0])) == [0, 0.1, 0.4, 0.5]) self.assertTrue(list(roundValues(values[1])) == [0.2, 0.3, 0.6, 0.7])
def test1(self):
groups, values = groupBy([self.df['cat1']], self.df['cc'])
self.assertTrue(set(groups) == set(CAT1))
self.assertEqual(len(values), len(groups))
self.assertTrue(list(roundValues(values[0])) == [0, 0.1, 0.4, 0.5])
self.assertTrue(list(roundValues(values[1])) == [0.2, 0.3, 0.6, 0.7])
def testNetedLists(self):
values = [n + 0.01 for n in RANGE]
list_values = [values, values]
new_list_values = roundValues(list_values, 1)
for lst in new_list_values:
self.assertTrue(list(lst), RANGE)
def testSimple(self): values = [n + 0.01 for n in RANGE] new_values = roundValues(values, 1) self.assertTrue(list(new_values) == RANGE) new_values = roundValues(values, 2) self.assertTrue(list(new_values) == list(values))