File: t_DesignOfExperiment_std.py

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#! /usr/bin/env python

import openturns as ot
import persalys
import os

anOTStudy = persalys.Study("anOTStudy")

# Model
X0 = persalys.Input("X0", 1, ot.Normal())
X1 = persalys.Input("X1", 2, ot.Normal())
Y0 = persalys.Output("Y0")

model = persalys.SymbolicPhysicalModel("aModelPhys", [X0, X1], [Y0], ["sin(X0)+8*X1"])
anOTStudy.add(model)

# Design of Experiment ##
aDesign = persalys.GridDesignOfExperiment("aDesign_1", model, [[0.9, 1.1], [1.8, 2.2]])
anOTStudy.add(aDesign)

aDesign.run()
print("outs=", aDesign.getResult().getDesignOfExperiment().getOutputSample())

# Design of Experiment ##
filename = "normal.csv"
ot.Normal(3).getSample(10).exportToCSVFile(filename)
aDesign2 = persalys.ImportedDesignOfExperiment("aDesign_2", model, filename, [0, 2])
anOTStudy.add(aDesign2)

aDesign2.run()
print("outs=", aDesign2.getResult().getDesignOfExperiment().getOutputSample())

# Design of Experiment - imported - already evaluated##
aDesign2_1 = persalys.ImportedDesignOfExperiment(
    "aDesign_2_1", model, filename, [0, 2], [1]
)
anOTStudy.add(aDesign2_1)

# Considered already evaluated, do not run it
# aDesign2_1.run()
print("outs=", aDesign2_1.getResult().getDesignOfExperiment().getOutputSample())

# Design of Experiment ##
aDesign3 = persalys.ProbabilisticDesignOfExperiment(
    "aDesign_3", model, 10, "QUASI_MONTE_CARLO"
)
anOTStudy.add(aDesign3)

aDesign3.run()
print("outs=", aDesign3.getResult().getDesignOfExperiment().getOutputSample())

# Design of Experiment ##
aDesign4 = persalys.FixedDesignOfExperiment("aDesign_4", model)
inputSample = ot.LHSExperiment(model.getDistribution(), 10).generate()
# inputSample.stack(ot.Sample(10, [0.5, 1.3]))
aDesign4.setOriginalInputSample(inputSample)
anOTStudy.add(aDesign4)

aDesign4.run()

print("outs=", aDesign4.getResult().getDesignOfExperiment().getOutputSample())

# 3D Model to test Space filling algos
X0 = persalys.Input("X0", 1, ot.Normal())
X1 = persalys.Input("X1", 2, ot.Normal())
X2 = persalys.Input("X2", 3, ot.Normal())
Y0 = persalys.Output("Y0")

model = persalys.SymbolicPhysicalModel(
    "aModelPhys", [X0, X1, X2], [Y0], ["sin(X0)+8*X1*X2"]
)
anOTStudy2 = persalys.Study("anOTStudy2")
anOTStudy2.add(model)

# Design of Experiment SALHS-PhiP#
aDesign5 = persalys.ProbabilisticDesignOfExperiment(
    "aDesign_5", model, 10, "SALHS", "PhiP"
)
anOTStudy2.add(aDesign5)

aDesign5.run()
print("outs=", aDesign5.getResult().getDesignOfExperiment().getOutputSample())

# Design of Experiment SALHS-minDist#
aDesign6 = persalys.ProbabilisticDesignOfExperiment(
    "aDesign_6", model, 10, "SALHS", "minDist"
)
aDesign6.run()

print("outs=", aDesign6.getResult().getDesignOfExperiment().getOutputSample())

# Design of Experiment SALHS-C2#
aDesign7 = persalys.ProbabilisticDesignOfExperiment(
    "aDesign_7", model, 10, "SALHS", "C2", 1000
)
anOTStudy2.add(aDesign7)

aDesign7.run()
print("outs=", aDesign7.getResult().getDesignOfExperiment().getOutputSample())

# Design of Experiment MCLHS-PhiP#
aDesign8 = persalys.ProbabilisticDesignOfExperiment(
    "aDesign_8", model, 10, "MCLHS", "PhiP", 1000
)
anOTStudy2.add(aDesign8)

aDesign8.run()
print("outs=", aDesign8.getResult().getDesignOfExperiment().getOutputSample())

# Design of Experiment MCLHS-minDist#
aDesign9 = persalys.ProbabilisticDesignOfExperiment(
    "aDesign_9", model, 10, "MCLHS", "minDist", 1000
)
anOTStudy2.add(aDesign9)

aDesign9.run()
print("outs=", aDesign9.getResult().getDesignOfExperiment().getOutputSample())

# Design of Experiment MCLHS-C2#
aDesign10 = persalys.ProbabilisticDesignOfExperiment(
    "aDesign_10", model, 10, "MCLHS", "C2", 1000
)
anOTStudy2.add(aDesign10)

aDesign10.run()
print("outs=", aDesign10.getResult().getDesignOfExperiment().getOutputSample())

# Design of Experiment with failed points ##
code = "import time\ndef _exec(X0,X1):\n    Y0 = 1/(X0+X1)\n    return Y0\n"
model2 = persalys.PythonPhysicalModel("aModelPhys2", [X0, X1], [Y0], code)
model2.setProcessNumber(1)
anOTStudy.add(model2)

aDesign11 = persalys.GridDesignOfExperiment(
    "aDesign_11", model2, [[-3, 0, 3], [-3, 0, 3]]
)
anOTStudy.add(aDesign11)

aDesign11.run()
for err_msg in aDesign11.getErrorDescription():
    assert "ZeroDivisionError" in err_msg

model2.setParallel(False)
aDesign12 = persalys.GridDesignOfExperiment(
    "aDesign_12", model2, [[-3, 0, 3], [-3, 0, 3]]
)
anOTStudy.add(aDesign12)

aDesign12.run()
for err_msg in aDesign11.getErrorDescription():
    assert "ZeroDivisionError" in err_msg

# script
script = anOTStudy.getPythonScript()
print(script)
exec(script)

script = anOTStudy2.getPythonScript()
print(script)
exec(script)


os.remove(filename)