def METHOD_NAME(self):
    obs = APoTObserver(b=4, k=2)
    X = torch.tensor([0.0, -100.23, -37.18, 3.42, 8.93, 9.21, 87.92])
    X = obs.forward(X)
    alpha, gamma, quantization_levels, level_indices = obs.calculate_qparams(signed=True)
    min_val = torch.min(X)
    max_val = torch.max(X)
    expected_alpha = torch.max(-min_val, max_val)
    self.assertEqual(alpha, expected_alpha)