code: def test_map_overlap_multiarray_defaults():
      # Check that by default, chunk alignment and arrays of varying dimensionality
      # are supported by with no effect on result shape
      # (i.e. defaults are pass-through to map_blocks)
      x = da.ones((10,), chunks=10)
      y = da.ones((1, 10), chunks=5)
      z = da.map_overlap(lambda x, y: x + y, x, y, boundary="none")
      # func should be called twice and get (5,) and (1, 5) arrays of ones each time
      assert_eq(z.shape, (1, 10))
      assert_eq(z.sum(), 20.0)
  
imports: from __future__ import annotations
  import pytest
  import numpy
  from numpy.testing import assert_array_almost_equal, assert_array_equal
  import dask.array
  from dask.array.lib.stride_tricks import sliding_window_view
  from dask.array.overlap import boundaries, constant, ensure_minimum_chunksize, nearest, overlap, overlap_internal, periodic, reflect, trim_internal
  from dask.array.utils import assert_eq, same_keys
label_desc: Use image node_id 17 for calling a global function with example usage: test_map_overlap_multiarray_defaults() without return types