old_contents: import numpy
  
  from chainer import cuda
  from chainer import function
  from chainer.utils import type_check
  
  
  def _transpose(xs, length):
      xp = cuda.get_array_module(*xs)
      lengths = numpy.zeros(length, dtype='i')
      for i, x in enumerate(xs):
          lengths[0:len(x)] = i + 1
      dtype = xs[0].dtype
      unit = xs[0].shape[1:]
      outs = tuple(xp.empty((l,) + unit, dtype=dtype) for l in lengths)
  
      for i, x in enumerate(xs):
          for p, xi in enumerate(x):
              outs[p][i] = xi
  
      return outs
  
  
  class TransposeSequence(function.Function):
  
      """Function that transposes a list of Variables."""
  
      def check_type_forward(self, xs_type):
          for p, n in zip(xs_type, xs_type[1:]):
              type_check.expect(
                  p.shape[0] >= n.shape[0],
                  p.shape[1:] == n.shape[1:],
              )
  
      def forward(self, xs):
          if len(xs) == 0:
              return ()
          return _transpose(xs, len(xs[0]))
  
      def backward(self, xs, gs):
          return _transpose(gs, len(xs))
  
  
  def transpose_sequence(xs):
      """Transpose a list of Variables.
  
      This function transpose a list of :class:`~chainer.Variable` s and returns
      a list of :class:`Variable` s.
      For exampe a user gives ``[(0, 1, 2, 3), (4, 5), (6)]``, the function
      returns ``[(0, 4, 6), (1, 5), (2), (3)]``.
      Note that a given list needs to be sorted by each length of
      :class:`~chainer.Variable`.
  
      Args:
          xs (list of ~chainer.Variable): Variables to transport.
  
      Returns:
          tuple or Variable: Transposed list.
      """
      ys = TransposeSequence()(*xs)
      if not isinstance(ys, tuple):
          ys = (ys,)
      return ys
  
new_contents: import numpy
  
  from chainer import cuda
  from chainer import function
  from chainer.utils import type_check
  
  
  def _transpose(xs, length):
      xp = cuda.get_array_module(*xs)
      lengths = numpy.zeros(length, dtype='i')
      for i, x in enumerate(xs):
          lengths[0:len(x)] = i + 1
      dtype = xs[0].dtype
      unit = xs[0].shape[1:]
      outs = tuple([xp.empty((l,) + unit, dtype=dtype) for l in lengths])
  
      for i, x in enumerate(xs):
          for p, xi in enumerate(x):
              outs[p][i] = xi
  
      return outs
  
  
  class TransposeSequence(function.Function):
  
      """Function that transposes a list of Variables."""
  
      def check_type_forward(self, xs_type):
          for p, n in zip(xs_type, xs_type[1:]):
              type_check.expect(
                  p.shape[0] >= n.shape[0],
                  p.shape[1:] == n.shape[1:],
              )
  
      def forward(self, xs):
          if len(xs) == 0:
              return ()
          return _transpose(xs, len(xs[0]))
  
      def backward(self, xs, gs):
          return _transpose(gs, len(xs))
  
  
  def transpose_sequence(xs):
      """Transpose a list of Variables.
  
      This function transpose a list of :class:`~chainer.Variable` s and returns
      a list of :class:`Variable` s.
      For exampe a user gives ``[(0, 1, 2, 3), (4, 5), (6)]``, the function
      returns ``[(0, 4, 6), (1, 5), (2), (3)]``.
      Note that a given list needs to be sorted by each length of
      :class:`~chainer.Variable`.
  
      Args:
          xs (list of ~chainer.Variable): Variables to transport.
  
      Returns:
          tuple or Variable: Transposed list.
      """
      ys = TransposeSequence()(*xs)
      if not isinstance(ys, tuple):
          ys = (ys,)
      return ys
  
subject: Use list