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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 _load_schemas(self):
 """ load all schemas into schema dict """


        types = ('bill', 'committee', 'person', 'vote', 'event')

        for type in types:
            schema_path = os.path.join(os.path.split(__file__)[0],
                                       '../schemas/%s.json' % type)
            self._schema[type] = json.load(open(schema_path))
            self._schema[type]['properties'][settings.LEVEL_FIELD] = {
                'minLength': 2, 'type': 'string'}

        # bills & votes
        self._schema['bill']['properties']['session']['enum'] = \
            self.all_sessions()
        self._schema['vote']['properties']['session']['enum'] = \
            self.all_sessions()

        # legislators
        terms = [t['name'] for t in self.metadata['terms']]
        # ugly break here b/c this line is nearly impossible to split
        self._schema['person']['properties']['roles'][
            'items']['properties']['term']['enum'] = terms