def test_bernoulli3(p):
""" Test bernoulli distribution failures """
with pytest.raises(ValueError):
bernoulli(p)
def test_bernoulli1():
""" Test bernoulli distribution """
d = bernoulli(1/2)
assert d.outcomes == (0, 1)
assert sum(d.pmf) == pytest.approx(1)
def test_bernoulli2(p):
""" Test bernoulli distribution """
d = bernoulli(p)
assert d[0] == pytest.approx(1-p)
assert d[1] == pytest.approx(p)
def test_bernoulli2(p):
""" Test bernoulli distribution """
d = bernoulli(p)
assert d[0] == pytest.approx(1 - p)
assert d[1] == pytest.approx(p)
def test_bernoulli3(p):
""" Test bernoulli distribution failures """
with pytest.raises(ValueError):
bernoulli(p)
def test_bernoulli1():
d = bernoulli(1/2)
assert_equal(d.outcomes, (0,1))
assert_almost_equal(sum(d.pmf), 1)
def test_bernoulli1():
""" Test bernoulli distribution """
d = bernoulli(1 / 2)
assert d.outcomes == (0, 1)
assert sum(d.pmf) == pytest.approx(1)
def test_bernoulli2():
for p in [ i/10 for i in range(0, 11)]:
d = bernoulli(p)
assert_almost_equal(d[0], 1-p)
assert_almost_equal(d[1], p)
def test_bernoulli2():
""" Test bernoulli distribution """
for p in [i / 10 for i in range(0, 11)]:
d = bernoulli(p)
assert_almost_equal(d[0], 1 - p)
assert_almost_equal(d[1], p)
def test_bernoulli1():
""" Test bernoulli distribution """
d = bernoulli(1 / 2)
assert_equal(d.outcomes, (0, 1))
assert_almost_equal(sum(d.pmf), 1)
def test_bernoulli2():
""" Test bernoulli distribution """
for p in [i/10 for i in range(0, 11)]:
d = bernoulli(p)
assert_almost_equal(d[0], 1-p)
assert_almost_equal(d[1], p)
def test_bernoulli1():
""" Test bernoulli distribution """
d = bernoulli(1/2)
assert_equal(d.outcomes, (0, 1))
assert_almost_equal(sum(d.pmf), 1)
