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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 rename_categories(self, new_categories, inplace=False):
 """ Rename categories. Parameters new_categories : list-like, dict-like or callable * list-like: all items must be unique and the number of items in the new categories must match the existing number of categories. * dict-like: specifies a mapping from old categories to new. Categories not contained in the mapping are passed through and extra categories in the mapping are ignored. .. versionadded:: 0.21.0 * callable : a callable that is called on all items in the old categories and whose return values comprise the new categories. .. versionadded:: 0.23.0 .. warning:: Currently, Series are considered list like. In a future version of pandas they'll be considered dict-like. inplace : bool, default False Whether or not to rename the categories inplace or return a copy of this categorical with renamed categories. Returns ------- cat : Categorical or None With ``inplace=False``, the new categorical is returned. With ``inplace=True``, there is no return value. Raises ------ ValueError If new categories are list-like and do not have the same number of items than the current categories or do not validate as categories See Also -------- reorder_categories add_categories remove_categories remove_unused_categories set_categories Examples -------- [0, 0, 1] Categories (2, int64):
 [0, 1] For dict-like ``new_categories``, extra keys are ignored and categories not in the dictionary are passed through [A, A, b] Categories (2, object):
 [A, b] You may also provide a callable to create the new categories [A, A, B] Categories (2, object):
 [A, B] """

        inplace = validate_bool_kwarg(inplace, 'inplace')
        cat = self if inplace else self.copy()

        if isinstance(new_categories, ABCSeries):
            msg = ("Treating Series 'new_categories' as a list-like and using "
                   "the values. In a future version, 'rename_categories' will "
                   "treat Series like a dictionary.\n"
                   "For dict-like, use 'new_categories.to_dict()'\n"
                   "For list-like, use 'new_categories.values'.")
            warn(msg, FutureWarning, stacklevel=2)
            new_categories = list(new_categories)

        if is_dict_like(new_categories):
            cat.categories = [new_categories.get(item, item)
                              for item in cat.categories]
        elif callable(new_categories):
            cat.categories = [new_categories(item) for item in cat.categories]
        else:
            cat.categories = new_categories
        if not inplace:
            return cat