code: def test_ellipsis_index(self):
      a = Tensor([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
      self.assertIsNot(a[...], a)
      numpy_testing_assert_equal_helper(a[...], a)
      # `a[...]` was `a` in numpy <1.9.
      # TODO data_ptr
      """
      numpy_testing_assert_equal_helper(a[...].data_ptr(), a.data_ptr())
      """
  
      # Slicing with ellipsis can skip an
      # arbitrary number of dimensions
      numpy_testing_assert_equal_helper(a[0, ...], a[0])
      numpy_testing_assert_equal_helper(a[0, ...], a[0, :])
      numpy_testing_assert_equal_helper(a[..., 0], a[:, 0])
  
      # In NumPy, slicing with ellipsis results in a 0-dim array. In PyTorch
      # we don't have separate 0-dim arrays and scalars.
      numpy_testing_assert_equal_helper(a[0, ..., 1], np.array(2))
  
      # Assignment with `(Ellipsis,)` on 0-d arrays
      b = np.array(1)
      b[(Ellipsis,)] = 2
      numpy_testing_assert_equal_helper(b, 2)
  
imports: import math, unittest, random, copy
  import numpy
  from tinygrad import Tensor, dtypes, Device
  from tinygrad.lazy import LazyBuffer
  from tinygrad.shape.shapetracker import ShapeTracker
  from tinygrad.shape.view import View
  from tinygrad.helpers import CI
label_desc: Use image node_id 4 for calling the TestNumpy obj's underlying member method code with example usage: obj.test_ellipsis_index() without return types