code: def test_getitem_scalars(self):
      zero = Tensor(0, dtype=dtypes.int64)
      one = Tensor(1, dtype=dtypes.int64)
  
      # non-scalar indexed with scalars
      a = Tensor.randn(2, 3)
      numpy_testing_assert_equal_helper(a[0], a[zero])
      numpy_testing_assert_equal_helper(a[0][1], a[zero][one])
      numpy_testing_assert_equal_helper(a[0, 1], a[zero, one])
      numpy_testing_assert_equal_helper(a[0, one], a[zero, 1])
  
      # indexing by a scalar should slice (not copy)
      # TODO data ptr
      """
      numpy_testing_assert_equal_helper(a[0, 1].data_ptr(), a[zero, one].data_ptr())
      numpy_testing_assert_equal_helper(a[1].data_ptr(), a[one.cast(dtypes.int32)].data_ptr())
      numpy_testing_assert_equal_helper(a[1].data_ptr(), a[one.cast(dtypes.int16)].data_ptr())
      """
  
      # scalar indexed with scalar
      r = Tensor.randn()
      with self.assertRaises(IndexError):
          r[:]
      with self.assertRaises(IndexError):
          r[zero]
      numpy_testing_assert_equal_helper(r, r[...])
  
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 16 for calling the TestIndexing obj's underlying member method code with example usage: obj.test_getitem_scalars() without return types