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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 _maketicks(self, plt):
 """ utility private method to add ticks to a band structure """

        ticks = self.get_ticks()
        # Sanitize only plot the uniq values
        uniq_d = []
        uniq_l = []
        temp_ticks = list(zip(ticks['distance'], ticks['label']))
        for i in range(len(temp_ticks)):
            if i == 0:
                uniq_d.append(temp_ticks[i][0])
                uniq_l.append(temp_ticks[i][1])
                logger.debug("Adding label {l} at {d}".format(
                    l=temp_ticks[i][0], d=temp_ticks[i][1]))
            else:
                if temp_ticks[i][1] == temp_ticks[i - 1][1]:
                    logger.debug("Skipping label {i}".format(
                        i=temp_ticks[i][1]))
                else:
                    logger.debug("Adding label {l} at {d}".format(
                        l=temp_ticks[i][0], d=temp_ticks[i][1]))
                    uniq_d.append(temp_ticks[i][0])
                    uniq_l.append(temp_ticks[i][1])

        logger.debug("Unique labels are %s" % list(zip(uniq_d, uniq_l)))
        plt.gca().set_xticks(uniq_d)
        plt.gca().set_xticklabels(uniq_l)

        for i in range(len(ticks['label'])):
            if ticks['label'][i] is not None:
                # don't print the same label twice
                if i != 0:
                    if ticks['label'][i] == ticks['label'][i - 1]:
                        logger.debug("already print label... "
                                     "skipping label {i}".format(
                            i=ticks['label'][i]))
                    else:
                        logger.debug("Adding a line at {d}"
                                     " for label {l}".format(
                            d=ticks['distance'][i], l=ticks['label'][i]))
                        plt.axvline(ticks['distance'][i], color='k')
                else:
                    logger.debug("Adding a line at {d} for label {l}".format(
                        d=ticks['distance'][i], l=ticks['label'][i]))
                    plt.axvline(ticks['distance'][i], color='k')
        return plt