def test_printing():
assert str(Normal(x + y, z)) == "Normal(x + y, z)"
assert str(Sample([x, y, 1])) in [
"Sample([x, y, 1])",
"Sample([y, 1, x])",
"Sample([1, x, y])",
"Sample([y, x, 1])",
"Sample([x, 1, y])",
"Sample([1, y, x])",
]
assert str(Uniform(x, y)) == "Uniform(x, y)"
assert str(Uniform(x + y, y)) == "Uniform(x + y, y)"
def test_fit():
import random
random.seed(1234)
n = Normal.fit(Uniform.fit(Normal(2, 1.5).random(1000)))
#print n.mean
#print n.stddev
assert abs(n.mean - 2) < 0.3
assert abs(n.stddev - 1.5) < 0.3
n = Normal.fit([1, 2, 3, 4, 5])
assert n.mean == 3
assert n.stddev == sqrt(2)
n = Uniform.fit([1, 2, 3, 4, 5])
assert n.mean == 3
assert n.stddev == sqrt(2)
def test_fit():
import random
random.seed(1234)
n = Normal.fit(Uniform.fit(Normal(2, 1.5).random(1000)))
#print n.mean
#print n.stddev
assert abs(n.mean - 2) < 0.3
assert abs(n.stddev - 1.5) < 0.3
n = Normal.fit([1, 2, 3, 4, 5])
assert n.mean == 3
assert n.stddev == sqrt(2)
n = Uniform.fit([1, 2, 3, 4, 5])
assert n.mean == 3
assert n.stddev == sqrt(2)
def test_uniform():
U = Uniform(-3, -1)
assert str(U) == "Uniform(-3, -1)"
assert repr(U) == "Uniform(-3, -1)"
x = U.random()
assert x < -1 and x > -3
assert U.mean == -2
assert U.confidence(1) == (-3, -1)
assert U.confidence(Rational(1, 2)) == (Rational(-5, 2), Rational(-3, 2))
assert U.pdf(-4) == 0
assert U.pdf(-Rational(3, 2)) == Rational(1, 2)
assert U.pdf(0) == 0
assert U.cdf(-4) == 0
assert U.cdf(-Rational(3, 2)) == Rational(3, 4)
assert U.cdf(0) == 1
def test_Uniform():
assert str(Uniform(x, y)) == "Uniform(x, y)"
assert str(Uniform(x + y, y)) == "Uniform(x + y, y)"
def test_statistics():
x = Symbol("x")
y = Symbol("y")
for c in (ContinuousProbability, ContinuousProbability(), Normal,
Normal(x, y), Sample, Sample([1, 3, 4]), Uniform, Uniform(x, y)):
check(c)
def test_uniform():
U = Uniform(-3, -1)
assert str(U) == "Uniform(-3, -1)"
assert repr(U) == "Uniform(-3, -1)"
x = U.random()
assert x < -1 and x > -3
assert U.mean == -2
assert U.confidence(1) == (-3, -1)
assert U.confidence(Rational(1, 2)) == (Rational(-5, 2), Rational(-3, 2))
assert U.pdf(-4) == 0
assert U.pdf(-Rational(3, 2)) == Rational(1, 2)
assert U.pdf(0) == 0
assert U.cdf(-4) == 0
assert U.cdf(-Rational(3, 2)) == Rational(3, 4)
assert U.cdf(0) == 1
def test_pickling():
for c in (ContinuousProbability, ContinuousProbability(), Normal,
Normal(x, y), Sample, Sample([1, 3, 4]), Uniform, Uniform(x, y)):
check(c)
