class TestRandom(unittest.TestCase):
def setUp(self):
self.seed = 1
self.prng = Random()
def testLogistic(self):
"""Testing logistic variates"""
self.prng.seed(self.seed)
result = self.prng.logisticvariate(0, 1)
assert_almost_equal(result, -1.86290986)
def testNormal(self):
"""Testing normal variates"""
self.prng.seed(self.seed)
result = self.prng.normalvariate(0, 1)
assert_almost_equal(result, 0.607455857)
def testCauchy(self):
"""Testing cauchy variates"""
self.prng.seed(self.seed)
result = self.prng.cauchyvariate(0, 1)
assert_almost_equal(result, -2.22660116)
def setUp(self):
self.seed = 1
self.prng = Random()
class TestRandom(unittest.TestCase):
def setUp(self):
self.seed = 1
self.prng = Random()
def testLogistic(self):
"""Testing logistic variates"""
self.prng.seed(self.seed)
result = self.prng.logisticvariate(0, 1)
assert_almost_equal(result, -1.86290986)
def testNormal(self):
"""Testing normal variates"""
self.prng.seed(self.seed)
result = self.prng.normalvariate(0, 1)
assert_almost_equal(result, 0.607455857)
def testCauchy(self):
"""Testing cauchy variates"""
self.prng.seed(self.seed)
result = self.prng.cauchyvariate(0, 1)
assert_almost_equal(result, -2.22660116)
def testNCT(self):
self.prng.seed(self.seed)
result = self.prng.nctvariate(1, 0)
assert_almost_equal(result, -2.22660116)
self.prng.seed(1)
result = self.prng.nctvariate(10, 0.5, 1, 0.5)
assert_almost_equal(result, 0.68386525)
def testLogisticInvalidParams(self):
self.assertRaises(ValueError, self.prng.logisticvariate, 0, -1)
def testCauchyInvalidParams(self):
self.assertRaises(ValueError, self.prng.cauchyvariate, 0, -1)
def testNCTInvalidParams(self):
self.assertRaises(ValueError, self.prng.nctvariate, -5, 0)
self.assertRaises(ValueError, self.prng.nctvariate, 1, 0, 1, -1)
def testLognorm(self):
"""
Testing lognorm variates
"""
self.prng.seed(self.seed)
result = self.prng.lognormvariate(1.)
assert_almost_equal(result, 0.3308813420)
def testLognormInvalidParams(self):
self.assertRaises(ValueError, self.prng.lognormvariate, -1., 0., 1.)
self.assertRaises(ValueError, self.prng.lognormvariate, 1., 0., -1.)
def setUp(self):
self.seed = 1
self.prng = Random(self.seed, stream=0)
class TestRandom(unittest.TestCase):
def setUp(self):
self.seed = 1
self.prng = Random(self.seed, stream=0)
@unittest.skip("Generator implementation specific")
def testLogistic(self):
"""Testing logistic variates"""
self.prng.seed(self.seed)
result = self.prng.logisticvariate(0, 1)
assert_almost_equal(result, -1.86290986)
@unittest.skip("Generator implementation specific")
def testNormal(self):
"""Testing normal variates"""
self.prng.seed(self.seed)
result = self.prng.normalvariate(0, 1)
assert_almost_equal(result, 0.607455857)
@unittest.skip("Generator implementation specific")
def testCauchy(self):
"""Testing cauchy variates"""
self.prng.seed(self.seed)
result = self.prng.cauchyvariate(0, 1)
assert_almost_equal(result, -2.22660116)
@unittest.skip("Generator implementation specific")
def testNCT(self):
self.prng.seed(self.seed)
result = self.prng.nctvariate(1, 0)
assert_almost_equal(result, -2.22660116)
self.prng.seed(1)
result = self.prng.nctvariate(10, 0.5, 1, 0.5)
assert_almost_equal(result, 0.68386525)
def testLogisticInvalidParams(self):
self.assertRaises(ValueError, self.prng.logisticvariate, 0, -1)
# def testCauchyInvalidParams(self):
# self.assertRaises(ValueError, self.prng.cauchyvariate,
# 0, -1)
#
# def testNCTInvalidParams(self):
# self.assertRaises(ValueError, self.prng.nctvariate,
# -5, 0)
# self.assertRaises(ValueError, self.prng.nctvariate,
# 1, 0, 1, -1)
@unittest.skip("Generator implementation specific")
def testLognorm(self):
"""
Testing lognorm variates
"""
self.prng.seed(self.seed)
result = self.prng.lognormvariate(1.)
assert_almost_equal(result, 0.3308813420)
def testLognormInvalidParams(self):
self.assertRaises(ValueError, self.prng.lognormvariate, -1., 0., 1.)
self.assertRaises(ValueError, self.prng.lognormvariate, 1., 0., -1.)
def setUp(self):
self.seed = 1
self.prng = Random()
