old_contents: import contextlib
  import shutil
  import tempfile
  
  import numpy
  
  from chainer.utils import walker_alias  # NOQA
  
  
  # import class and function
  from chainer.utils.conv import get_conv_outsize  # NOQA
  from chainer.utils.conv import get_deconv_outsize  # NOQA
  from chainer.utils.experimental import experimental  # NOQA
  from chainer.utils.walker_alias import WalkerAlias  # NOQA
  
  
  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)
  
  
  def force_type(dtype, value):
      if numpy.isscalar(value):
          return dtype.type(value)
      elif value.dtype != dtype:
          return value.astype(dtype, copy=False)
      else:
          return value
  
  
  @contextlib.contextmanager
  def tempdir(**kwargs):
      # A context manager that defines a lifetime of a temporary directory.
      temp_dir = tempfile.mkdtemp(**kwargs)
      try:
          yield temp_dir
      finally:
          shutil.rmtree(temp_dir, ignore_errors=True)
  
new_contents: import contextlib
  import shutil
  import tempfile
  
  import numpy
  
  from chainer.utils import walker_alias  # NOQA
  
  
  # import class and function
  from chainer.utils.conv import get_conv_outsize  # NOQA
  from chainer.utils.conv import get_deconv_outsize  # NOQA
  from chainer.utils.experimental import experimental  # NOQA
  from chainer.utils.walker_alias import WalkerAlias  # NOQA
  
  
  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)
  
  
  def force_type(dtype, value):
      if numpy.isscalar(value):
          return dtype.type(value)
      elif value.dtype != dtype:
          return value.astype(dtype, copy=False)
      else:
          return value
  
  
  @contextlib.contextmanager
  def tempdir(**kwargs):
      # A context manager that defines a lifetime of a temporary directory.
      ignore_errors = kwargs.pop('ignore_errors', False)
  
      temp_dir = tempfile.mkdtemp(**kwargs)
      try:
          yield temp_dir
      finally:
          shutil.rmtree(temp_dir, ignore_errors=ignore_errors)
  
subject: Make ignore_errors False by default