code: def test_rechunk_execute(setup, data, chunk_size):
      tensor = mt.tensor(data, chunk_size=4)
      new_tensor = tensor.rechunk(chunk_size)
      result = new_tensor.execute().fetch()
      if hasattr(result, "toarray"):
          # sparse
          result = result.toarray()
          data = data.toarray()
      assert result.flags["C_CONTIGUOUS"] == data.flags["C_CONTIGUOUS"]
      np.testing.assert_allclose(result, data)
  
imports: import numpy
  import pytest
  import scipy.sparse
  from ....None import tensor
label_desc: Use image node_id 1 for calling a global function with example usage: test_rechunk_execute(setup, data, chunk_size) without return types