úÎO    GnestedSampling computes the evidence Z and samples from the posterior.  Args: 3 priorSamples: a list of samples from the prior. N explore: a function that evolves an object within a likelihood constraint. , iterations: number of iterations to run. 0choice chooses uniformly at random from a list.          NestedSampling-0.1.4Statistics.MiniNestSamplingObjectsetLogWtgetLogWtgetLogLNestedSamplingResultnsLogZ nsLogZdelta nsInfoNats nsSamplesnestedSamplingpluschoice floatRatio getLogWidth