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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def mmGetMetricDistinctnessConfusion(self):
 """ For each iteration that doesn't follow a reset, looks at every other iteration for every other world that doesn't follow a reset, and computes the number of bits that show up in both sets of active cells those that iteration. This metric returns the distribution of those numbers. @return (Metric) Distinctness confusion metric """

    self._mmComputeSequenceRepresentationData()
    numbers = self._mmData["distinctnessConfusion"]
    return Metric(self, "distinctness confusion", numbers)