code: def target_masks():
      masks = []
      masks.append(
          Tensor(
              [
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                  [0, 0, 1, 1, 1, 0, 0, 0, 0, 0],
                  [0, 0, 1, 1, 1, 0, 0, 0, 0, 0],
                  [0, 0, 1, 1, 1, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 1, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              ]
          )
      )
      masks.append(
          Tensor(
              [
                  [1, 1, 0, 0, 0, 0, 0, 0, 0, 0],
                  [1, 1, 0, 0, 0, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 1, 1],
                  [0, 0, 0, 0, 0, 0, 0, 0, 1, 1],
              ]
          )
      )
      masks.append(
          Tensor(
              [
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
                  [0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
                  [0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
                  [0, 1, 1, 1, 1, 1, 1, 1, 0, 0],
                  [0, 1, 1, 1, 1, 1, 1, 1, 0, 0],
                  [0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
                  [0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              ]
          )
      )
      masks.append(
          Tensor(
              [
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
                  [0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
                  [0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
                  [0, 1, 1, 1, 1, 1, 1, 1, 0, 0],
                  [0, 1, 1, 1, 1, 1, 1, 1, 0, 0],
                  [0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
                  [0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              ]
          )
      )
      masks.append(torch.zeros((10, 10)))
      return torch.stack(masks)
  
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 7 for calling a global function with example usage: target_masks() and returns: torch