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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 take_nd(self, indexer, allow_fill=None, fill_value=None):
 """ Take elements from the Categorical. Parameters indexer : sequence of int The indices in `self` to take. The meaning of negative values in `indexer` depends on the value of `allow_fill`. allow_fill : bool, default None How to handle negative values in `indexer`. * False: negative values in `indices` indicate positional indices from the right. This is similar to :func:`numpy.take`. * True: negative values in `indices` indicate missing values (the default). These values are set to `fill_value`. Any other other negative values raise a ``ValueError``. .. versionchanged:: 0.23.0 Deprecated the default value of `allow_fill`. The deprecated default is ``True``. In the future, this will change to ``False``. fill_value : object The value to use for `indices` that are missing (-1), when ``allow_fill=True``. This should be the category, i.e. a value in ``self.categories``, not a code. Returns ------- Categorical This Categorical will have the same categories and ordered as `self`. See Also -------- Series.take : Similar method for Series. numpy.ndarray.take : Similar method for NumPy arrays. Examples -------- [a, a, b] Categories (2, object):
 [a, b] Specify ``allow_fill==False`` to have negative indices mean indexing from the right. [a, b, a] Categories (2, object):
 [a, b] With ``allow_fill=True``, indices equal to ``-1`` mean "missing" values that should be filled with the `fill_value`, which is ``np.nan`` by default. [a, NaN, NaN] Categories (2, object):
 [a, b] The fill value can be specified. [a, a, a] Categories (3, object):
 [a, b] Specifying a fill value that's not in ``self.categories`` will raise a ``TypeError``. """

        indexer = np.asarray(indexer, dtype=np.intp)
        if allow_fill is None:
            if (indexer < 0).any():
                warn(_take_msg, FutureWarning, stacklevel=2)
                allow_fill = True

        dtype = self.dtype

        if isna(fill_value):
            fill_value = -1
        elif allow_fill:
            # convert user-provided `fill_value` to codes
            if fill_value in self.categories:
                fill_value = self.categories.get_loc(fill_value)
            else:
                msg = (
                    "'fill_value' ('{}') is not in this Categorical's "
                    "categories."
                )
                raise TypeError(msg.format(fill_value))

        codes = take(self._codes, indexer, allow_fill=allow_fill,
                     fill_value=fill_value)
        result = type(self).from_codes(codes, dtype=dtype)
        return result