code: def gen_fixed_cube(array_type):
      scale, core_start, core_end = 8, 1, 7
      cube = np.zeros((scale, scale, scale))
      cube[
          core_start:core_end, core_start:core_end, core_start:core_end
      ] = torch.ones(
          core_end - core_start,
          core_end - core_start,
          core_end - core_start,
      )
      cube = cube[None]
  
      batch_size, channels = 10, 6
      cube = np.tile(cube, (batch_size, channels, 1, 1, 1))
      return array_type(cube), array_type(expected_output_for_cube)
  
file_path: MONAI/tests/test_label_to_contour.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from monai.transforms import LabelToContour
  from tests.utils import TEST_NDARRAYS, assert_allclose
label_desc: Use image node_id 1 for calling a global function with example usage: gen_fixed_cube(array_type) and returns: array_type,  array_type