code: def test_overlap_few_dimensions_small():
      x = da.ones((20, 20), chunks=(10, 10))
  
      a = x.map_overlap(lambda x: x, depth={0: 1}, boundary="none")
      assert_eq(x, a)
      assert any(isinstance(k[1], float) for k in a.dask)
      assert all(isinstance(k[2], int) for k in a.dask)
  
      b = x.map_overlap(lambda x: x, depth={1: 1}, boundary="none")
      assert_eq(x, b)
      assert all(isinstance(k[1], int) for k in b.dask)
      assert any(isinstance(k[2], float) for k in b.dask)
  
      c = x.map_overlap(
          lambda x: x, depth={0: 1, 1: 1}, boundary="none"
      )
      assert_eq(x, c)
      assert any(isinstance(k[1], float) for k in c.dask)
      assert any(isinstance(k[2], float) for k in c.dask)
  
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 34 for calling a global function with example usage: test_overlap_few_dimensions_small() without return types