code: def test_dont_fuse_numpy_arrays():
      x = np.ones(10)
      for _ in [(5,), (10,)]:
          y = da.from_array(x, chunks=(10,))
  
          dsk = y.__dask_optimize__(y.dask, y.__dask_keys__())
          assert (
              sum(isinstance(v, np.ndarray) for v in dsk.values()) == 1
          )
  
imports: from __future__ import annotations
  import pytest
  import numpy
  import dask
  import dask.array
  from dask.array.chunk import getitem
  from dask.array.core import getter
  from dask.array.core import getter_nofancy
  from dask.array.optimization import _is_getter_task, fuse_slice, optimize, optimize_blockwise, optimize_slices
  from dask.array.utils import assert_eq
  from dask.highlevelgraph import HighLevelGraph
  from dask.optimization import SubgraphCallable, fuse
  from dask.utils import SerializableLock
label_desc: Use image node_id 15 for calling a global function with example usage: test_dont_fuse_numpy_arrays() without return types