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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 _call_func(self):
 """ Call the wrapped function and return the result wrapped by DataFrameWrapper. Also updates attributes like columns, index, and length. """

        if _CACHING and self.cache and self.name in _TABLE_CACHE:
            logger.debug('returning table {!r} from cache'.format(self.name))
            return _TABLE_CACHE[self.name].value

        with log_start_finish(
                'call function to get frame for table {!r}'.format(
                    self.name),
                logger):
            kwargs = _collect_variables(names=self._argspec.args,
                                        expressions=self._argspec.defaults)
            frame = self._func(**kwargs)

        self._columns = list(frame.columns)
        self._index = frame.index
        self._len = len(frame)

        wrapped = DataFrameWrapper(self.name, frame, copy_col=self.copy_col)

        if self.cache:
            _TABLE_CACHE[self.name] = CacheItem(
                self.name, wrapped, self.cache_scope)

        return wrapped