def METHOD_NAME(im, x, y, jsig, mcp, imageBounds, pixelSize, n=1):
    from matplotlib import tri
    for i in range(n):
        #global jParms
        #locals().update(jParms)
        numpy.random.seed()
        Imc = numpy.random.rand(len(x)) < mcp
        if type(jsig) == numpy.ndarray:
            #print jsig.shape, Imc.shape
            jsig = jsig[Imc]
        T = tri.Triangulation(x[Imc] +  jsig*numpy.random.randn(Imc.sum()), y[Imc] +  jsig*numpy.random.randn(Imc.sum()))
        #return T
        rendTri(T, imageBounds, pixelSize, im=im)