code: def input_boxes():
      boxes = []
      boxes.append(
          Tensor([[2, 3, 4, 5], [6, 7, 6, 7]])
      )  # normal box and tiny box
      boxes.append(
          Tensor([[0, 0, 1, 1], [8, 8, 9, 9]])
      )  # boxes at edge of image
      boxes.append(
          Tensor([[1, 5, 7, 6], [4, 2, 5, 8]])
      )  # overlapping boxes
      boxes.append(
          Tensor([[4, 2, 5, 8], [1, 5, 7, 6]])
      )  # overlapping boxes swapped
      boxes.append(torch.empty((0, 4)))  # no boxes
      return boxes
  
imports: import pytest
  import torch
  from torch import Tensor
  from anomalib.data.utils.boxes import boxes_to_anomaly_maps, boxes_to_masks, masks_to_boxes
label_desc: Use image node_id 5 for calling a global function with example usage: input_boxes() and returns: boxes