code: def wrap_if_boxes_inside(raw_array, slow_op_name=None):
      if raw_array.dtype is _np.dtype("O"):
          if slow_op_name:
              warnings.warn(
                  "{0} is slow for array inputs. "
                  "np.concatenate() is faster.".format(slow_op_name)
              )
          return array_from_args((), {}, *raw_array.ravel()).reshape(
              raw_array.shape
          )
      else:
          return raw_array
  
imports: from __future__ import absolute_import
  import types
  import warnings
  from autograd.extend import primitive, notrace_primitive
  import numpy
  import autograd.builtins
  from numpy.core.einsumfunc import _parse_einsum_input
label_desc: Use image node_id 7 for calling a global function with example usage: wrap_if_boxes_inside(raw_array, slow_op_name) and returns: array_from_args, raw_array