code: def test_many_dimension(self) -> None:
      t = torch.zeros((3, 4, 5))
      self.assertIsNone(match_shape(t, 3, 4, 5))
      self.assertIsNone(match_shape(t, ...))
      self.assertIsNone(match_shape(t, ..., 5))
      self.assertIsNone(match_shape(t, 3, ..., 5))
      self.assertIsNone(match_shape(t, 3, 4, 5, ...))
      self.assertEqual(match_shape(t, -1, 4, 5), 3)
      self.assertEqual(match_shape(t, -1, ...), 3)
      self.assertEqual(match_shape(t, -1, 4, ...), 3)
      self.assertEqual(match_shape(t, -1, ..., 5), 3)
      self.assertEqual(match_shape(t, -1, 4, -1), (3, 5))
      self.assertEqual(match_shape(t, ..., -1, -1), (4, 5))
      self.assertEqual(match_shape(t, -1, -1, -1), (3, 4, 5))
      self.assertEqual(match_shape(t, -1, -1, ..., -1), (3, 4, 5))
      with self.assertRaises(TypeError):
          match_shape(t)
      with self.assertRaises(TypeError):
          match_shape(t, 3)
      with self.assertRaises(TypeError):
          match_shape(t, 3, 4)
      with self.assertRaises(TypeError):
          match_shape(t, 5, 4, 3)
      with self.assertRaises(TypeError):
          match_shape(t, 3, 4, 5, 6)
      with self.assertRaises(TypeError):
          match_shape(t, 3, 4, ..., 4, 5)
  
file_path: PyTorch-BigGraph/test/test_util.py
imports: from unittest import main, TestCase
  import torch
  from torchbiggraph.util import match_shape, round_up_to_nearest_multiple, split_almost_equally
label_desc: Use image node_id 3 for calling the TestMatchShape obj's underlying member method code with example usage: obj.test_many_dimension() without return types