code: def satisfy_sample_constraint_coverage(
      sampler, sample_bbox, gt_bboxes
  ):
      if sampler[6] == 0 and sampler[7] == 0:
          has_jaccard_overlap = False
      else:
          has_jaccard_overlap = True
      if sampler[8] == 0 and sampler[9] == 0:
          has_object_coverage = False
      else:
          has_object_coverage = True
  
      if not has_jaccard_overlap and not has_object_coverage:
          return True
      found = False
      for i in range(len(gt_bboxes)):
          object_bbox = [
              gt_bboxes[i][0],
              gt_bboxes[i][1],
              gt_bboxes[i][2],
              gt_bboxes[i][3],
          ]
          if has_jaccard_overlap:
              overlap = jaccard_overlap(sample_bbox, object_bbox)
              if sampler[6] != 0 and overlap < sampler[6]:
                  continue
              if sampler[7] != 0 and overlap > sampler[7]:
                  continue
              found = True
          if has_object_coverage:
              object_coverage = bbox_coverage(object_bbox, sample_bbox)
              if sampler[8] != 0 and object_coverage < sampler[8]:
                  continue
              if sampler[9] != 0 and object_coverage > sampler[9]:
                  continue
              found = True
          if found:
              return True
      return found
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import random
  import math
  import cv2
label_desc: Use image node_id 14 for calling a global function with example usage: satisfy_sample_constraint_coverage(sampler, sample_bbox, gt_bboxes) and returns: found, True, True