27cc6523d8b9705fb1fbd879847a8d540c8c9d02,trunk/SUAVE/Methods/Weights/Correlations/FLOPS/wing_weight.py,,find_sweep,#,332

Before Change

    
    diff = lst_y - y
    for i in range(len(diff)):
        if diff[i] > 0:
            return swp[i - 1]
        elif diff[i] == 0:
            return swp[i]
    return swp[-1]

//// @ingroup Methods-Weights-Correlations-FLOPS
def get_spanwise_engine(propulsors, SEMISPAN):

After Change

    
    
    // All initial sweeps are the root chord sweep
    swps = np.ones_like(y)*swp[0]
    
    for i in range(len(lst_y)-1):
        e       = lst_y[i]
        swps[y>=e] = swp[i]

Instances