code: def target_anomaly_maps():
      maps = []
      maps.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, 0.3, 0.3, 0.3, 0, 0, 0, 0, 0],
                  [0, 0, 0.3, 0.3, 0.3, 0, 0, 0, 0, 0],
                  [0, 0, 0.3, 0.3, 0.3, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0.5, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              ]
          )
      )
      maps.append(
          Tensor(
              [
                  [6, 6, 0, 0, 0, 0, 0, 0, 0, 0],
                  [6, 6, 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, 0.001, 0.001],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0.001, 0.001],
              ]
          )
      )
      maps.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, 5, 5, 0, 0, 0, 0],
                  [0, 0, 0, 0, 5, 5, 0, 0, 0, 0],
                  [0, 0, 0, 0, 5, 5, 0, 0, 0, 0],
                  [0, 4, 4, 4, 5, 5, 4, 4, 0, 0],
                  [0, 4, 4, 4, 5, 5, 4, 4, 0, 0],
                  [0, 0, 0, 0, 5, 5, 0, 0, 0, 0],
                  [0, 0, 0, 0, 5, 5, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              ]
          )
      )
      maps.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, 5, 5, 0, 0, 0, 0],
                  [0, 0, 0, 0, 5, 5, 0, 0, 0, 0],
                  [0, 0, 0, 0, 5, 5, 0, 0, 0, 0],
                  [0, 4, 4, 4, 5, 5, 4, 4, 0, 0],
                  [0, 4, 4, 4, 5, 5, 4, 4, 0, 0],
                  [0, 0, 0, 0, 5, 5, 0, 0, 0, 0],
                  [0, 0, 0, 0, 5, 5, 0, 0, 0, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              ]
          )
      )
      maps.append(torch.zeros((10, 10)))
      return torch.stack(maps)
  
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 8 for calling a global function with example usage: target_anomaly_maps() and returns: torch