in torchrecipes/utils/mixup_utils.py [0:0]
def _get_lambda(alpha: float = 1.0) -> float:
# Sample from a beta distribution
# The result is used for linear interpolation
if alpha > 0.0:
lam = np.random.beta(alpha, alpha)
else:
lam = 1.0
return lam