def get_worst_live_point(self):
"""
selects the lowest likelihood live point
"""
logL_array = np.array([p.logL for p in self.params])
self.worst = logL_array.argmin()
self.logLmin.value = logL_array[self.worst]
self.logLmax = np.max(logL_array)
return np.float128(self.logLmin.value)
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