code: def test_ones_like_has_same_dtype_and_shape(self):
      for datatype in [
          dtypes.float16,
          dtypes.float32,
          dtypes.int8,
          dtypes.int32,
          dtypes.int64,
          dtypes.uint8,
      ]:
          a = Tensor([1, 2, 3], dtype=datatype)
          b = Tensor.ones_like(a)
          assert (
              a.dtype == b.dtype
          ), f"dtype mismatch {a.dtype=} != {b.dtype}"
          assert (
              a.shape == b.shape
          ), f"shape mismatch {a.shape} != {b.shape}"
  
      a = Tensor([1, 2, 3])
      b = Tensor.ones_like(a, dtype=dtypes.int8)
      assert (
          a.dtype == dtypes.default_int and b.dtype == dtypes.int8
      ), "a.dtype should be int and b.dtype should be char"
      assert (
          a.shape == b.shape
      ), f"shape mismatch {a.shape} != {b.shape}"
  
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 12 for calling the TestTinygrad obj's underlying member method code with example usage: obj.test_ones_like_has_same_dtype_and_shape() without return types