def test_uniform(self):
testArray = ak.uniform(3)
self.assertIsInstance(testArray, ak.pdarray)
self.assertEqual(ak.float64, testArray.dtype)
self.assertEqual([3], testArray.shape)
testArray = ak.uniform(np.int64(3))
self.assertIsInstance(testArray, ak.pdarray)
self.assertEqual(ak.float64, testArray.dtype)
self.assertEqual([3], testArray.shape)
uArray = ak.uniform(size=3, low=0, high=5, seed=0)
self.assertTrue((ak.array(
[0.30013431967121934, 0.47383036230759112,
1.0441791878997098]) == uArray).all())
uArray = ak.uniform(size=np.int64(3),
low=np.int64(0),
high=np.int64(5),
seed=np.int64(0))
self.assertTrue((ak.array(
[0.30013431967121934, 0.47383036230759112,
1.0441791878997098]) == uArray).all())
with self.assertRaises(TypeError):
ak.uniform(low='0', high=5, size=100)
with self.assertRaises(TypeError):
ak.uniform(low=0, high='5', size=100)
with self.assertRaises(TypeError):
ak.uniform(low=0, high=5, size='100')
def testSeededRNG(self):
N = 100
seed = 8675309
numericdtypes = [ak.int64, ak.float64, ak.bool]
for dt in numericdtypes:
# Make sure unseeded runs differ
a = ak.randint(0, 2**32, N, dtype=dt)
b = ak.randint(0, 2**32, N, dtype=dt)
self.assertFalse((a == b).all())
# Make sure seeded results are same
a = ak.randint(0, 2**32, N, dtype=dt, seed=seed)
b = ak.randint(0, 2**32, N, dtype=dt, seed=seed)
self.assertTrue((a == b).all())
# Uniform
self.assertFalse((ak.uniform(N) == ak.uniform(N)).all())
self.assertTrue((ak.uniform(N, seed=seed) == ak.uniform(N, seed=seed)).all())
# Standard Normal
self.assertFalse((ak.standard_normal(N) == ak.standard_normal(N)).all())
self.assertTrue((ak.standard_normal(N, seed=seed) == ak.standard_normal(N, seed=seed)).all())
# Strings (uniformly distributed length)
self.assertFalse((ak.random_strings_uniform(1, 10, N) == ak.random_strings_uniform(1, 10, N)).all())
self.assertTrue((ak.random_strings_uniform(1, 10, N, seed=seed) == ak.random_strings_uniform(1, 10, N, seed=seed)).all())
# Strings (log-normally distributed length)
self.assertFalse((ak.random_strings_lognormal(2, 1, N) == ak.random_strings_lognormal(2, 1, N)).all())
self.assertTrue((ak.random_strings_lognormal(2, 1, N, seed=seed) == ak.random_strings_lognormal(2, 1, N, seed=seed)).all())
def testUniform(self):
testArray = ak.uniform(3)
self.assertIsInstance(testArray, ak.pdarray)
self.assertEqual(ak.float64, testArray.dtype)
self.assertEqual([3], testArray.shape)
with self.assertRaises(TypeError):
ak.uniform(low=5)
with self.assertRaises(TypeError) as cm:
ak.uniform(low='0', high=5, size=100)
self.assertEqual(
'type of argument "low" must be either float or int; got str instead',
cm.exception.args[0])
with self.assertRaises(TypeError) as cm:
ak.uniform(low=0, high='5', size=100)
self.assertEqual(
'type of argument "high" must be either float or int; got str instead',
cm.exception.args[0])
with self.assertRaises(TypeError) as cm:
ak.uniform(low=0, high=5, size='100')
self.assertEqual(
'type of argument "size" must be int; got str instead',
cm.exception.args[0])
def test_uniform(self):
testArray = ak.uniform(3)
self.assertIsInstance(testArray, ak.pdarray)
self.assertEqual(ak.float64, testArray.dtype)
self.assertEqual([3], testArray.shape)
uArray = ak.uniform(size=3, low=0, high=5, seed=0)
self.assertTrue((ak.array(
[0.30013431967121934, 0.47383036230759112,
1.0441791878997098]) == uArray).all())
with self.assertRaises(TypeError) as cm:
ak.uniform(low='0', high=5, size=100)
self.assertEqual(
'type of argument "low" must be either float or int; got str instead',
cm.exception.args[0])
with self.assertRaises(TypeError) as cm:
ak.uniform(low=0, high='5', size=100)
self.assertEqual(
'type of argument "high" must be either float or int; got str instead',
cm.exception.args[0])
with self.assertRaises(TypeError) as cm:
ak.uniform(low=0, high=5, size='100')
self.assertEqual(
'type of argument "size" must be int; got str instead',
cm.exception.args[0])
def testUniform(self):
testArray = ak.uniform(3)
self.assertIsInstance(testArray, ak.pdarray)
self.assertEqual(ak.float64, testArray.dtype)
self.assertEqual([3], testArray.shape)
with self.assertRaises(TypeError):
ak.uniform(low=5)
with self.assertRaises(TypeError) as cm:
ak.randint(low='0', high=5, size=100)
self.assertEqual("The low parameter must be an integer or float",
cm.exception.args[0])
with self.assertRaises(TypeError) as cm:
ak.randint(low=0, high='5', size=100)
self.assertEqual("The high parameter must be an integer or float",
cm.exception.args[0])
with self.assertRaises(TypeError) as cm:
ak.randint(low=0, high=5, size='100')
self.assertEqual("The size parameter must be an integer",
cm.exception.args[0])