#! /usr/bin/env python

import openturns as ot

# Defining parameters
dimension = 5
size = 100

# Build OT LHS algorithm
lhs = ot.LHSExperiment(ot.JointDistribution([ot.Uniform()] * dimension), size)

# Generate design without optimization
design = lhs.generate()

# Defining space fillings
spaceFillingC2 = ot.SpaceFillingC2()
spaceFillingMinDist = ot.SpaceFillingMinDist()
spaceFillingPhiP = ot.SpaceFillingPhiP()
spaceFillingPhiP50 = ot.SpaceFillingPhiP(50)

# print the criteria on this design
print(
    "C2=%f MinDist=%f PhiP=%f, PhiP(50)=%f"
    % tuple(
        [
            sf.evaluate(design)
            for sf in [
                spaceFillingC2,
                spaceFillingMinDist,
                spaceFillingPhiP,
                spaceFillingPhiP50,
            ]
        ]
    )
)