def _make_xgen(self):
xl = randint(-10, 0, self.param['n'])
xu = randint(1, 10, self.param['n'])
self.info['xl'] = npvec(xl)
self.info['xu'] = npvec(xu)
self.info['xgen'] = npvec(
[(xl[i] + (xu[i] - xl[i]) * randcst())[0] for i in range(self.param['n'])])
def test_ransom_seed(self):
"""Test setting random seeds.
"""
np.random.seed(12345)
value = helpers.randint(10, 256, 2, 2)
self.assertFalse(np.allclose(value, helpers.randint(10, 256, 2, 2)))
np.random.seed(12345)
self.assertTrue(np.allclose(value, helpers.randint(10, 256, 2, 2)))
np.random.seed(12346)
self.assertFalse(np.allclose(value, helpers.randint(10, 256, 2, 2)))
def evaluate(self, shape, **kwargs):
""" Evaluate randint.
Args:
shape: Shape of result matrix of randint.
kwargs: To be passed to randint.
"""
m = helpers.randint(low=self.low, high=self.high, **kwargs)
self.assertEqual(m.shape, shape)
self.assertGreaterEqual(m.min(), self.low)
self.assertLessEqual(m.max(), self.high)
def _make_u(self):
self.u = randint(0, 10, self.info['md'])
