code: def test_copy_from_numpy_unaligned(self):
      # 2**15 is the minimum for repro
      arr = np.random.randn(2**15).astype(dtypes.float.np)
      fn = temp("test_copy_from_numpy_unaligned")
      with open(fn, "wb") as f:
          f.write(b"t" + arr.tobytes())
      with open(fn, "a+b") as f:
          memview = memoryview(mmap.mmap(f.fileno(), arr.nbytes + 1))
      ua_arr = np.frombuffer(
          memview[1:], dtype=arr.dtype, count=arr.shape[0]
      )
      np.testing.assert_allclose(arr, ua_arr)
      assert not ua_arr.flags.aligned
      # force device copy - to() is opt'd away - Tensor(dev)/1 is ignored
      np.testing.assert_allclose(
          ua_arr, (Tensor(ua_arr) / Tensor(1)).numpy()
      )
  
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 25 for calling the TestTinygrad obj's underlying member method code with example usage: obj.test_copy_from_numpy_unaligned() without return types