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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 track_list(self,*args):
        '''
        return the list of tracks contained if the dataset
        '''
        noargs = len(args) == 0
        return np.unique(self.track) if noargs else np.unique(self.track.compress(args[0]))