code: def test_median(caplog):
      """Test the median filter modifier."""
      caplog.set_level(logging.DEBUG)
      dims = "y", "x"
      coordinates = dict(x=np.arange(6), y=np.arange(6))
      attrs = dict(units="K")
      median_filter_params = dict(size=3)
      name = "median_filter"
      median_filter = Median(median_filter_params, name=name)
      array = xr.DataArray(
          da.arange(36).reshape((6, 6)),
          coords=coordinates,
          dims=dims,
          attrs=attrs,
      )
      res = median_filter([array])
      filtered_array = np.array(
          [
              [1, 2, 3, 4, 5, 5],
              [6, 7, 8, 9, 10, 11],
              [12, 13, 14, 15, 16, 17],
              [18, 19, 20, 21, 22, 23],
              [24, 25, 26, 27, 28, 29],
              [30, 30, 31, 32, 33, 34],
          ]
      )
      np.testing.assert_allclose(res, filtered_array)
      assert res.dims == dims
      assert attrs.items() <= res.attrs.items()
      assert res.attrs["name"] == name
      np.testing.assert_equal(res.coords["x"], coordinates["x"])
      np.testing.assert_equal(res.coords["y"], coordinates["y"])
      assert (
          "Apply median filtering with parameters {'size': 3}"
          in caplog.text
      )
  
imports: import logging
  import dask.array
  import numpy
  import xarray
  from satpy.modifiers.filters import Median
label_desc: Use image node_id 1 for calling a global function with example usage: test_median(caplog) without return types