old_contents: import collections
  
  import numpy
  
  import chainer
  from chainer import cuda
  from chainer import function
  from chainer import utils
  from chainer.utils import type_check
  from chainer import variable
  
  
  class GetItem(function.Function):
  
      """Function that slices array and extract elements."""
  
      def __init__(self, slices):
          if not isinstance(slices, collections.Iterable):
              slices = tuple([slices])
  
          if chainer.is_debug():
              n_ellipses = 0
              for s in slices:
                  if numpy.isscalar(s) or s is None or isinstance(s, slice):
                      pass
                  elif s is Ellipsis:
                      n_ellipses += 1
                  else:
                      raise ValueError('Only basic indexing is supported')
              if n_ellipses > 1:
                  raise ValueError('Only one Ellipsis is allowed')
  
          self.slices = slices
  
      def check_type_forward(self, in_types):
          type_check.expect(in_types.size() == 1)
          valid_slice = len(self.slices) - self.slices.count(None)
          type_check.expect(in_types[0].ndim >= valid_slice)
  
      def forward(self, xs):
          ary = xs[0]
          return utils.force_array(ary[tuple(self.slices)]),
  
      def backward(self, xs, gys):
          xp = cuda.get_array_module(*xs)
          gy = gys[0]
          gx = xp.zeros_like(xs[0])
          gx[tuple(self.slices)] = gy
          return gx,
  
  
  def get_item(x, slices):
      """Extract elements from array with specified shape, axes and offsets.
  
      Args:
          x (tuple of Variables): Variable to be sliced.
          slices (int, slice, None or Ellipsis or tuple of them): Basic slicing
              to slice a variable. It supports ``int``, ``slice``, ``newaxis``
              (equivalent to ``None``) and ``Ellipsis``.
  
      Returns:
          Variable: :class:`~chainer.Variable` object
              which contains sliced array of ``x``.
  
      .. note::
  
         See NumPy documents for details of `indexing
         <http://docs.scipy.org/doc/numpy/reference/arrays.indexing.html>`_
  
      """
      return GetItem(slices)(x)
  
  
  def install_variable_get_item():
      variable.Variable.__getitem__ = get_item
  
new_contents: import collections
  
  import numpy
  
  import chainer
  from chainer import cuda
  from chainer import function
  from chainer import utils
  from chainer.utils import type_check
  from chainer import variable
  
  
  class GetItem(function.Function):
  
      """Function that slices array and extract elements."""
  
      def __init__(self, slices):
          if not isinstance(slices, collections.Iterable):
              slices = tuple([slices])
  
          if chainer.is_debug():
              n_ellipses = 0
              for s in slices:
                  if numpy.isscalar(s) or s is None or isinstance(s, slice):
                      pass
                  elif s is Ellipsis:
                      n_ellipses += 1
                  else:
                      raise ValueError('Only basic indexing is supported')
              if n_ellipses > 1:
                  raise ValueError('Only one Ellipsis is allowed')
  
          self.slices = slices
  
      def check_type_forward(self, in_types):
          type_check.expect(in_types.size() == 1)
          valid_slice = len(self.slices) - self.slices.count(None)
          type_check.expect(in_types[0].ndim >= valid_slice)
  
      def forward(self, xs):
          ary = xs[0]
          return utils.force_array(ary[tuple(self.slices)]),
  
      def backward(self, xs, gys):
          xp = cuda.get_array_module(*xs)
          gy = gys[0]
          gx = xp.zeros_like(xs[0])
          gx[tuple(self.slices)] = gy
          return gx,
  
  
  def get_item(x, slices):
      """Extract elements from array with specified shape, axes and offsets.
  
      Args:
          x (tuple of Variables): Variable to be sliced.
          slices (int, slice, None or Ellipsis or tuple of them): Basic slicing
              to slice a variable. It supports ``int``, ``slice``, ``newaxis``
              (equivalent to ``None``) and ``Ellipsis``.
  
      Returns:
          Variable: :class:`~chainer.Variable` object
              which contains sliced array of ``x``.
  
      .. note::
  
         See NumPy document for details of `indexing
         <http://docs.scipy.org/doc/numpy/reference/arrays.indexing.html>`_.
  
      """
      return GetItem(slices)(x)
  
  
  def install_variable_get_item():
      variable.Variable.__getitem__ = get_item
  
subject: Fix document