def test_generategaussians(self):
'''
Test if it generates true random numbers from a
Gaussian distribution (also known as a normal distribution).
'''
ret1 = {'message': 'No Random.org api key or api version found.',
'res': False}
self.assertDictEqual(random_org.generateGaussians(), ret1)
ret2 = {'message': 'Required argument, number is missing.',
'res': False}
self.assertDictEqual(random_org.generateGaussians(api_key='peW',
api_version='1'),
ret2)
ret3 = {'message': ('Number of decimal fractions must be'
' between 1 and 10000'), 'res': False}
self.assertDictEqual(random_org.generateGaussians
(api_key='peW', api_version='1',
number='5', mean='0.0', standardDeviation='1.0',
significantDigits='8'), ret3)
ret4 = {'message': ("The distribution's mean must be between"
" -1000000 and 1000000"), 'res': False}
self.assertDictEqual(random_org.generateGaussians
(api_key='peW', api_version='1', number=5,
mean='0.0', standardDeviation='1.0',
significantDigits='8'), ret4)
ret5 = {'message': ("The distribution's standard deviation must be"
" between -1000000 and 1000000"), 'res': False}
self.assertDictEqual(random_org.generateGaussians
(api_key='peW', api_version='1', number=5,
mean=0.0, standardDeviation='1.0',
significantDigits='8'), ret5)
ret6 = {'message': ('The number of significant digits must be'
' between 2 and 20'), 'res': False}
self.assertDictEqual(random_org.generateGaussians
(api_key='peW', api_version='1', number=5,
mean=0.0, standardDeviation=1.0,
significantDigits='8'), ret6)
ret7 = {'message': u"Parameter 'apiKey' is malformed", 'res': False}
self.assertDictEqual(random_org.generateGaussians(api_key='peW',
api_version='1',
number=5, mean=0.0,
standardDeviation=1.0,
significantDigits=8),
ret7)
def test_generategaussians(self):
"""
Test if it generates true random numbers from a
Gaussian distribution (also known as a normal distribution).
"""
ret1 = {
"message": "No Random.org api key or api version found.",
"res": False
}
self.assertDictEqual(random_org.generateGaussians(), ret1)
ret2 = {
"message": "Required argument, number is missing.",
"res": False
}
self.assertDictEqual(
random_org.generateGaussians(api_key="peW", api_version="1"), ret2)
ret3 = {
"message":
"Number of decimal fractions must be between 1 and 10000",
"res": False,
}
self.assertDictEqual(
random_org.generateGaussians(
api_key="peW",
api_version="1",
number="5",
mean="0.0",
standardDeviation="1.0",
significantDigits="8",
),
ret3,
)
ret4 = {
"message":
"The distribution's mean must be between -1000000 and 1000000",
"res": False,
}
self.assertDictEqual(
random_org.generateGaussians(
api_key="peW",
api_version="1",
number=5,
mean="0.0",
standardDeviation="1.0",
significantDigits="8",
),
ret4,
)
ret5 = {
"message": ("The distribution's standard deviation must be"
" between -1000000 and 1000000"),
"res":
False,
}
self.assertDictEqual(
random_org.generateGaussians(
api_key="peW",
api_version="1",
number=5,
mean=0.0,
standardDeviation="1.0",
significantDigits="8",
),
ret5,
)
ret6 = {
"message":
"The number of significant digits must be between 2 and 20",
"res": False,
}
self.assertDictEqual(
random_org.generateGaussians(
api_key="peW",
api_version="1",
number=5,
mean=0.0,
standardDeviation=1.0,
significantDigits="8",
),
ret6,
)
ret7 = {"message": "Parameter 'apiKey' is malformed", "res": False}
self.assertDictEqual(
random_org.generateGaussians(
api_key="peW",
api_version="1",
number=5,
mean=0.0,
standardDeviation=1.0,
significantDigits=8,
),
ret7,
)