def test_binomial(self, df_to_output_mock):
main()
df = df_to_output_mock.call_args_list[0][0][1]
self.assertEqual(len(df), 10)
self.assertTrue(all([round(x, 0) == x for x in df.c0]))
self.assertTrue(all([x >= 0 for x in df.c0]))
self.assertTrue(all([x <= 10 for x in df.c0]))
def test_binomial(self, df_to_output_mock):
main()
df = df_to_output_mock.call_args_list[0][0][1]
self.assertEqual(len(df), 10)
self.assertTrue(all([round(x, 0) == x for x in df.c0]))
self.assertTrue(all([x >= 0 for x in df.c0]))
self.assertTrue(all([x <= 10 for x in df.c0]))
def test_gamma(self, df_to_output_mock):
main()
df = df_to_output_mock.call_args_list[0][0][1]
self.assertEqual(len(df), 10)
self.assertTrue(all([x >= 0 for x in df.c0]))
def test_normal(self, df_to_output_mock):
main()
df = df_to_output_mock.call_args_list[0][0][1]
self.assertEqual(len(df), 10)
self.assertTrue(df.c0.mean() < 100)
self.assertTrue(df.c0.mean() > -100)
def test_gamma(self, df_to_output_mock):
main()
df = df_to_output_mock.call_args_list[0][0][1]
self.assertEqual(len(df), 10)
self.assertTrue(all([x >= 0 for x in df.c0]))
def test_normal(self, df_to_output_mock):
main()
df = df_to_output_mock.call_args_list[0][0][1]
self.assertEqual(len(df), 10)
self.assertTrue(df.c0.mean() < 100)
self.assertTrue(df.c0.mean() > -100)
