95391f618b7fe48dfd7fff63917036f447c0b621,safe_learning/utilities.py,,linearly_spaced_combinations,#Any#Any#,39

Before Change

    
    num_vars = len(bounds)
    if not isinstance(num_samples, Sequence):
        num_samples = [num_samples] * num_vars

    // Create linearly spaced test inputs
    inputs = [np.linspace(b[0], b[1], n) for b, n in zip(bounds,
                                                         num_samples)]

After Change

        is of size l x d, that is, every row contains one combination of
        inputs.
    
    bounds = np.atleast_2d(bounds)
    num_vars = len(bounds)
    num_samples = np.broadcast_to(num_samples, num_vars)

    // Create linearly spaced test inputs

Instances