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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 _apply(self, method, *args, **kwargs):
 """Create a new representation with ``method`` applied to the arrays. In typical usage, the method is any of the shape-changing methods for `~numpy.ndarray` (``reshape``, ``swapaxes``, etc.), as well as those picking particular elements (``__getitem__``, ``take``, etc.), which are all defined in `~astropy.utils.misc.ShapedLikeNDArray`. It will be applied to the underlying arrays (e.g., ``x``, ``y``, and ``z`` for `~astropy.coordinates.CartesianRepresentation`), with the results used to create a new instance. Internally, it is also used to apply functions to the components (in particular, `~numpy.broadcast_to`). Parameters method : str or callable If str, it is the name of a method that is applied to the internal ``components``. If callable, the function is applied. args : tuple Any positional arguments for ``method``. kwargs : dict Any keyword arguments for ``method``. """

        if callable(method):
            apply_method = lambda array: method(array, *args, **kwargs)
        else:
            apply_method = operator.methodcaller(method, *args, **kwargs)
        return self.__class__([apply_method(getattr(self, component))
                               for component in self.components], copy=False)