code: def gen_fixed_img(array_type):
      img = np.array(
          [
              [0, 0, 0, 1, 1, 1, 1],
              [0, 0, 0, 1, 1, 1, 1],
              [0, 0, 1, 1, 1, 1, 1],
              [0, 1, 1, 1, 1, 1, 1],
              [1, 1, 1, 1, 1, 1, 1],
          ],
          dtype=np.float32,
      )
      batch_size, channels = 10, 6
      img = np.tile(img, (batch_size, channels, 1, 1))
      img = array_type(img)
      expected_output_for_img = array_type(
          [
              [0, 0, 0, 1, 1, 1, 1],
              [0, 0, 0, 1, 0, 0, 1],
              [0, 0, 1, 1, 0, 0, 1],
              [0, 1, 1, 0, 0, 0, 1],
              [1, 1, 1, 1, 1, 1, 1],
          ]
      )
      return img, expected_output_for_img
  
file_path: MONAI/tests/test_label_to_contourd.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from monai.transforms import LabelToContourd
  from tests.utils import TEST_NDARRAYS, assert_allclose
label_desc: Use image node_id 2 for calling a global function with example usage: gen_fixed_img(array_type) and returns: img,  expected_output_for_img