def test_blindfunc(): np.random.seed(0) f = BlindFunc(gaussian, "mean", "abcd", width=1.5, signflip=True) arg = f.__shift_arg__((1, 1, 1)) totest = [1.0, -2.1741271445170067, 1.0] assert_almost_equal(arg[0], totest[0]) assert_almost_equal(arg[1], totest[1]) assert_almost_equal(arg[2], totest[2]) assert_almost_equal(f.__call__(0.5, 1.0, 1.0), 0.011171196819867517) np.random.seed(575345) f = BlindFunc(gaussian, "mean", "abcd", width=1.5, signflip=True) arg = f.__shift_arg__((1, 1, 1)) assert_almost_equal(arg[0], totest[0]) assert_almost_equal(arg[1], totest[1]) assert_almost_equal(arg[2], totest[2]) assert_almost_equal(f.__call__(0.5, 1.0, 1.0), 0.011171196819867517)
def test_blindfunc(): np.random.seed(0) f = BlindFunc(gaussian, "mean", "abcd", width=1.5, signflip=True) arg = f.__shift_arg__((1, 1, 1)) totest = [1.0, -1.1665264284482637, 1.0] assert_almost_equal(arg[0], totest[0]) assert_almost_equal(arg[1], totest[1]) assert_almost_equal(arg[2], totest[2]) assert_almost_equal(f.__call__(0.5, 1.0, 1.0), 0.0995003913596) np.random.seed(575345) f = BlindFunc(gaussian, "mean", "abcd", width=1.5, signflip=True) arg = f.__shift_arg__((1, 1, 1)) assert_almost_equal(arg[0], totest[0]) assert_almost_equal(arg[1], totest[1]) assert_almost_equal(arg[2], totest[2]) assert_almost_equal(f.__call__(0.5, 1.0, 1.0), 0.0995003913596)
def test_blindfunc(): np.random.seed(0) f = BlindFunc(gaussian, 'mean', 'abcd', width=1.5, signflip=True) arg = f.__shift_arg__((1, 1, 1)) totest = [1., -2.1741271445170067, 1.] assert_almost_equal(arg[0], totest[0]) assert_almost_equal(arg[1], totest[1]) assert_almost_equal(arg[2], totest[2]) assert_almost_equal(f.__call__(0.5, 1., 1.), 0.011171196819867517) np.random.seed(575345) f = BlindFunc(gaussian, 'mean', 'abcd', width=1.5, signflip=True) arg = f.__shift_arg__((1, 1, 1)) assert_almost_equal(arg[0], totest[0]) assert_almost_equal(arg[1], totest[1]) assert_almost_equal(arg[2], totest[2]) assert_almost_equal(f.__call__(0.5, 1., 1.), 0.011171196819867517)
def test_blindfunc(): np.random.seed(0) f = BlindFunc(gaussian, 'mean', 'abcd', width=1.5, signflip=True) arg = f.__shift_arg__((1, 1, 1)) totest = [1., -1.1665264284482637, 1.] assert_almost_equal(arg[0], totest[0]) assert_almost_equal(arg[1], totest[1]) assert_almost_equal(arg[2], totest[2]) assert_almost_equal(f.__call__(0.5, 1., 1.), 0.0995003913596) np.random.seed(575345) f = BlindFunc(gaussian, 'mean', 'abcd', width=1.5, signflip=True) arg = f.__shift_arg__((1, 1, 1)) assert_almost_equal(arg[0], totest[0]) assert_almost_equal(arg[1], totest[1]) assert_almost_equal(arg[2], totest[2]) assert_almost_equal(f.__call__(0.5, 1., 1.), 0.0995003913596)