code: def many_bounding_boxes(n_rows, max_coord, max_delta, rng):
      return [
          generate_bounding_box(max_coord, max_delta, rng)
          for _ in range(n_rows)
      ]
  
imports: import functools
  import numpy
  import sklearn.metrics
  from fairlearn.metrics import MetricFrame
label_desc: Use image node_id 4 for calling a global function with example usage: many_bounding_boxes(n_rows, max_coord, max_delta, rng) and returns: unknown