code: def unpooling_1d(
      x, ksize, stride=None, pad=0, outsize=None, cover_all=True
  ):
      """Inverse operation of 1-dimensional spatial pooling.
  
      .. warning::
  
          This feature is experimental. The interface can change in the future.
  
      .. note::
  
          This function calls :func:`~chainer.functions.unpooling_nd`
          internally, so see the details of the behavior in
          the documentation of :func:`~chainer.functions.unpooling_nd`.
  
      """
      if len(x.shape[2:]) != 1:
          raise ValueError(
              "The number of dimensions under channel dimension of the input "
              "'x' should be 1. But the actual ndim was {}.".format(
                  len(x.shape[2:])
              )
          )
      return unpooling_nd(x, ksize, stride, pad, outsize, cover_all)
  
imports: import numpy
  import six
  from chainer import backend
  from chainer import function_node
  from chainer.functions.pooling import pooling_nd
  from chainer.utils import conv
  from chainer.utils import conv_nd
  from chainer.utils import type_check
label_desc: Use image node_id 2 for calling a global function with example usage: unpooling_1d(x, ksize, stride, pad, outsize, cover_all) and returns: unpooling_nd