How to use the langcodes.data_dicts.REGION_REPLACEMENTS.get function in langcodes

pass
                elif normalize:
                    replacement = LANGUAGE_REPLACEMENTS.get(value.lower())
                    if replacement is not None:
                        # parse the replacement if necessary -- this helps with
                        # Serbian and Moldovan
                        data.update(
                            Language.get(replacement, normalize).to_dict()
                        )
                    else:
                        data['language'] = value
                else:
                    data['language'] = value
            elif typ == 'region':
                if normalize:
                    data['region'] = REGION_REPLACEMENTS.get(value.lower(), value)
                else:
                    data['region'] = value
            elif typ == 'grandfathered':
                # If we got here, we got a grandfathered tag but we were asked
                # not to normalize it, or the CLDR data doesn't know how to
                # normalize it. The best we can do is set the entire tag as the
                # language.
                data['language'] = value
            else:
                data[typ] = value

        result = Language.make(**data)
        Language._PARSE_CACHE[tag, normalize] = result
        return result