code: def test_item_to_tensor_to_item(self):
      for a in [
          0,
          1,
          2,
          3,
          -1,
          -100,
          100,
          -101.1,
          2.345,
          100.1,
          True,
          False,
      ]:
          item = Tensor(a).item()
          assert type(item) == type(a), a
          np.testing.assert_allclose(item, a), a
          buffered_item = Tensor([a]).item()
          assert type(buffered_item) == type(a), a
          np.testing.assert_allclose(buffered_item, a), a
          reshaped_item = Tensor([a]).reshape((1, 1, 1, 1, 1)).item()
          assert type(reshaped_item) == type(a), a
          np.testing.assert_allclose(reshaped_item, a), a
  
imports: import numpy
  import torch
  import unittest, copy
  import mmap
  from tinygrad import Tensor, Device, dtypes
  from tinygrad.helpers import temp
  from extra.gradcheck import numerical_jacobian, jacobian, gradcheck
label_desc: Use image node_id 26 for calling the TestTinygrad obj's underlying member method code with example usage: obj.test_item_to_tensor_to_item() without return types