code: def force_array(x, dtype=None):
      # numpy returns a float value (scalar) when a return value of an operator
      # is a 0-dimension array.
      # We need to convert such a value to a 0-dimension array because `Function`
      # object needs to return an `numpy.ndarray`.
      if numpy.isscalar(x):
          if dtype is None:
              return numpy.array(x)
          else:
              return numpy.array(x, dtype)
      else:
          if dtype is None:
              return x
          else:
              return x.astype(dtype, copy=False)
  
imports: import collections
  import contextlib
  import shutil
  import sys
  import tempfile
  import numpy
  import six
  import chainer
  from chainer.utils.array import size_of_shape
  from chainer.utils.array import sum_to
  from chainer.utils.conv import get_conv_outsize
  from chainer.utils.conv import get_deconv_outsize
  from chainer.utils.error import _format_array_props
  from chainer.utils.experimental import experimental
  from chainer.utils.meta import enable_final
  from chainer.utils.meta import final
  from chainer.utils.nondeterministic import nondeterministic
  from chainer.utils.sparse import CooMatrix
  from chainer.utils.sparse import get_order
  from chainer.utils.sparse import to_coo
label_desc: Use image node_id 1 for calling a global function with example usage: force_array(x, dtype) and returns: numpy, numpy, x, x