<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def get_similar_items(self, items=None, k=10, verbose=False):
 """ Get the k most similar items for each item in items. Each type of recommender has its own model for the similarity between items. For example, the item_similarity_recommender will return the most similar items according to the user-chosen similarity; the factorization_recommender will return the nearest items based on the cosine similarity between latent item factors. Parameters items : SArray or list; optional An :class:`~turicreate.SArray` or list of item ids for which to get similar items. If 'None', then return the `k` most similar items for all items in the training set. k : int, optional The number of similar items for each item. verbose : bool, optional Progress printing is shown. Returns ------- out : SFrame A SFrame with the top ranked similar items for each item. The columns `item`, 'similar', 'score' and 'rank', where `item` matches the item column name specified at training time. The 'rank' is between 1 and `k` and 'score' gives the similarity score of that item. The value of the score depends on the method used for computing item similarities. Examples -------- 'item_id': ["a", "b", "c", "a", "b", "b", "c", "d"]}) """


        if items is None:
            get_all_items = True
            items = _SArray()
        else:
            get_all_items = False

        if isinstance(items, list):
            items = _SArray(items)

        def check_type(arg, arg_name, required_type, allowed_types):
            if not isinstance(arg, required_type):
                raise TypeError("Parameter " + arg_name + " must be of type(s) "
                                + (", ".join(allowed_types) )
                                + "; Type '" + str(type(arg)) + "' not recognized.")

        check_type(items, "items", _SArray, ["SArray", "list"])
        check_type(k, "k", int, ["int"])

        return self.__proxy__.get_similar_items(items, k, verbose, get_all_items)