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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 do_python_eval(self):
 """ python evaluation wrapper Returns: None """

        annopath = os.path.join(self.data_path, 'Annotations', '{:s}.xml')
        imageset_file = os.path.join(self.data_path, 'ImageSets', 'Main', self.image_set + '.txt')
        cache_dir = os.path.join(self.cache_path, self.name)
        aps = []
        # The PASCAL VOC metric changed in 2010
        use_07_metric = True if int(self.year) < 2010 else False
        print('VOC07 metric? ' + ('Y' if use_07_metric else 'No'))
        for cls_ind, cls in enumerate(self.classes):
            filename = self.get_result_file_template().format(cls)
            rec, prec, ap = voc_eval(filename, annopath, imageset_file, cls, cache_dir,
                                     ovthresh=0.5, use_07_metric=use_07_metric)
            aps += [ap]
            print('AP for {} = {:.4f}'.format(cls, ap))
        print('Mean AP = {:.4f}'.format(np.mean(aps)))