def test_trochi():
std = 7. / 4
g = TrOchi(sigma=std, ysigma=std)
assert_array_almost_equal(g.dist2gauss(), 1.4106988010566603)
assert_array_almost_equal(g.mean, 0.0)
assert_array_almost_equal(g.sigma, 1.75)
vals = g.dat2gauss([0, 1, 2, 3])
true_vals = np.array(
[6.21927960e-04, 9.90237621e-01, 1.96075606e+00, 2.91254576e+00])
assert_array_almost_equal(vals, true_vals)
def test_trochi():
std = 7. / 4
g = TrOchi(sigma=std, ysigma=std)
assert_array_almost_equal(g.dist2gauss(), 1.4106988010566603)
assert_array_almost_equal(g.mean, 0.0)
assert_array_almost_equal(g.sigma, 1.75)
vals = g.dat2gauss([0, 1, 2, 3])
true_vals = np.array([6.21927960e-04, 9.90237621e-01, 1.96075606e+00,
2.91254576e+00])
assert_array_almost_equal(vals, true_vals)
def test_trochi():
std = 7./4
g = TrOchi(sigma=std, ysigma=std)
assert(g.dist2gauss()== 1.4106988010566603)
assert(g.mean== 0.0)
assert(g.sigma==1.75)
vals = g.dat2gauss([0,1,2,3])
true_vals = np.array([ 6.21927960e-04, 9.90237621e-01, 1.96075606e+00,
2.91254576e+00])
assert((np.abs(vals-true_vals)<1e-7).all())
def test_trochi():
std = 7. / 4
g = TrOchi(sigma=std, ysigma=std)
assert (g.dist2gauss() == 1.4106988010566603)
assert (g.mean == 0.0)
assert (g.sigma == 1.75)
vals = g.dat2gauss([0, 1, 2, 3])
true_vals = np.array(
[6.21927960e-04, 9.90237621e-01, 1.96075606e+00, 2.91254576e+00])
assert ((np.abs(vals - true_vals) < 1e-7).all())
