code: def box_in_k_largest(boxes, box, k):
      """Returns True if `box` is one of `k` largest boxes in `boxes`. If there are ties that
      extend beyond k, they are included."""
      if len(boxes) == 0:
          return False
      boxes = sorted(boxes, reverse=True, key=box_volume)
      n = len(boxes)
      prev = box_volume(boxes[0])
      for i in range(n):
          vol = box_volume(boxes[i])
          if i >= k:
              if vol < prev:
                  break
          prev = vol
          if np.array_equal(boxes[i], box):
              return True
      return False
  
imports: from nose_utils import assert_raises
  import nvidia.dali
  import nvidia.dali.fn
  import nvidia.dali.ops
  import numpy
  import scipy.ndimage
  import scipy.ndimage.measurements
  import random
  from test_utils import check_batch, np_type_to_dali
  from nose.tools import nottest
  from nose.plugins.attrib import attr
label_desc: Use image node_id 8 for calling a global function with example usage: box_in_k_largest(boxes, box, k) and returns: False, False, True