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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 item_dict(self, item):
 """ create a default dict of values, including category and tag lookup """

        # mocking wierd JSON structure
        ret_dict = {"terms":{"category":[],"post_tag":[]}}
        for e in item:
            # is it a category or tag??
            if "category" in e.tag:
                # get details
                slug = e.attrib["nicename"]
                name = htmlparser.unescape(e.text)
                # lookup the category or create one
                cat_dict = self.category_dict.get(slug) or {"slug":slug,
                                                             "name":name,
                                                             "taxonomy":"category"}
                ret_dict['terms']['category'].append(cat_dict)

            elif e.tag[-3:] == 'tag':
                # get details
                slug = e.attrib.get("tag_slug")
                name = htmlparser.unescape(e.text)
                # lookup the tag or create one
                tag_dict = self.tags_dict.get(slug) or {"slug":slug,
                                                        "name":name,
                                                        "taxonomy":"post_tag"}

                ret_dict['terms']['post_tag'].append(tag_dict)
            # else use tagname:tag inner test
            else:
                ret_dict[e.tag] = e.text
            # remove empty accumulators
        empty_keys = [k for k,v in ret_dict["terms"].items() if not v]
        for k in empty_keys:
            ret_dict["terms"].pop(k)
        return ret_dict