def test_randPickListSeed(self):
temp = RandPick.randPickListSeed(5, 1, self.test)
temp2 = RandPick.randPickListSeed(5, 1, self.test)
x = None
if temp == temp2:
x = True
self.assertEqual(True, x)
def test_randPickSeed(self):
result = RandPick.randPickSeed(4, self.test)
result2 = RandPick.randPickSeed(2, self.test)
x = None
if result in self.test and type(result) == int:
if result == result2:
x = True
self.assertEqual(True, x)
def test_randPickList(self):
temp = RandPick.randPickList(4, self.test)
x = None
if len(temp) == 4:
for item in temp:
if item in self.test and type(item) == int:
x = True
self.assertEqual(True, x)
def populationPorportion(seeds, nums, data):
p = RandPick.randPickListSeed(seeds, nums, data)
pp = len(p) / len(data)
return pp
def test_randPick(self):
result = RandPick.randPick(self.test)
x = None
if result in self.test and type(result) == int:
x = True
self.assertEqual(True, x)
def zsc(seed, data):
X = RandPick.randPickSeed(seed, data)
mean = Mean.mean(data)
stddev = Stddev.stddev(data)
return (X - mean) / stddev
def samplecorrelation(seed, sample_size, data1, data2):
dataA = RandPick.randPickListSeed(seed, sample_size, data1)
dataB = RandPick.randPickListSeed(seed, sample_size, data2)
return Covariance.covariance(dataA, dataB) / (Stddev.stddev(dataA) * Stddev.stddev(dataB))