def test_doublegaussian():
assert_equal(tuple(describe(pdf.doublegaussian)),
('x', 'mean', 'sigma_L', 'sigma_R'))
assert_almost_equal(pdf.doublegaussian(0., 0., 1., 2.), 1.)
assert_almost_equal(pdf.doublegaussian(-1., 0., 1., 2.),
0.6065306597126334)
assert_almost_equal(pdf.doublegaussian(1., 0., 1., 2.), 0.8824969025845955)
def test_doublegaussian():
assert_equal(
tuple(describe(pdf.doublegaussian)), ('x', 'mean', 'sigma_L', 'sigma_R'))
assert_almost_equal(pdf.doublegaussian(0., 0., 1., 2.), 1.)
assert_almost_equal(pdf.doublegaussian(-1., 0., 1., 2.), 0.6065306597126334)
assert_almost_equal(pdf.doublegaussian(1., 0., 1., 2.), 0.8824969025845955)
def test_doublegaussian():
assert describe(pdf.doublegaussian) == ['x', 'mean', 'sigma_L', 'sigma_R']
assert_allclose(pdf.doublegaussian(0., 0., 1., 2.), 1.)
assert_allclose(pdf.doublegaussian(-1., 0., 1., 2.), 0.6065306597126334)
assert_allclose(pdf.doublegaussian(1., 0., 1., 2.), 0.8824969025845955)
def test_doublegaussian():
assert describe(pdf.doublegaussian) == ["x", "mean", "sigma_L", "sigma_R"]
assert_allclose(pdf.doublegaussian(0.0, 0.0, 1.0, 2.0), 1.0)
assert_allclose(pdf.doublegaussian(-1.0, 0.0, 1.0, 2.0),
0.6065306597126334)
assert_allclose(pdf.doublegaussian(1.0, 0.0, 1.0, 2.0), 0.8824969025845955)
