def METHOD_NAME():
    # duplicate previous sample using modelchain
    # 1-axis .ini file
    filename = "ini_gencumsky.ini"
    (Params)= bifacial_radiance.load.readconfigurationinputfile(inifile=filename)
    Params[0]['testfolder'] = TESTDIR
    # unpack the Params tuple with *Params
    demo2, analysis = bifacial_radiance.modelchain.runModelChain(*Params ) 
    #V 0.2.5 fixed the gcr passed to set1axis. (since gcr was not being passd to set1axis, gcr was default 0.33 default). 
    assert analysis.mattype[0][:12] == 'a4.1.a0.test'
    assert analysis.rearMat[0][:12] == 'a4.1.a0.test'
    assert np.mean(analysis.x) == pytest.approx(0)
    assert np.mean(analysis.rearY) == pytest.approx(0.00017, abs = 0.00001)
    if DEBUG:
        print(np.mean(analysis.Wm2Front))
        print(np.mean(analysis.Wm2Back))
        print(np.mean(analysis.backRatio))
    # Note: gencumsky has 30-50 Wm-2 variability from run to run...  unsure why.
    assert np.mean(analysis.Wm2Front) == pytest.approx(1030, abs = 60)  #1023,1037,1050, 1035, 1027, 1044, 1015, 1003, 1056
    assert np.mean(analysis.Wm2Back) == pytest.approx(133, abs = 15) # 127, 131, 131, 135, 130, 139, 120, 14