code: def test_enhance_dic(image, module, workspace):
      data = numpy.ones((21, 43)) * 0.5
  
      data[5:15, 10] = 1
  
      data[5:15, 15] = 0
  
      image.pixel_data = data
  
      module.method.value = "Enhance"
  
      module.enhance_method.value = "DIC"
  
      module.angle.value = 90
  
      module.decay.value = 1
  
      module.smoothing.value = 0
  
      module.run(workspace)
  
      actual = workspace.image_set.get_image("output").pixel_data
  
      expected = numpy.zeros(data.shape)
  
      expected[5:15, 10] = 0.5
  
      expected[5:15, 11:15] = 1
  
      expected[5:15, 15] = 0.5
  
      numpy.testing.assert_almost_equal(actual, expected)
  
      module.decay.value = 0.9
  
      module.run(workspace)
  
      actual = workspace.image_set.get_image("output").pixel_data
  
      assert numpy.all(actual[5:15, 12:14] < 1)
  
      module.decay.value = 1
  
      module.smoothing.value = 1
  
      actual = workspace.image_set.get_image("output").pixel_data
  
      assert numpy.all(actual[4, 11:15] > 0.1)
  
imports: import io
  import os.path
  import centrosome.filter
  import numpy
  import pytest
  import scipy.ndimage
  import skimage.exposure
  import skimage.filters
  import skimage.transform
  import tests.frontend.modules
  import cellprofiler_core.image
  import cellprofiler_core.measurement
  import cellprofiler_core.module
  import cellprofiler.modules.enhanceorsuppressfeatures
  import cellprofiler_core.object
  import cellprofiler_core.pipeline
  import cellprofiler_core.preferences
  import cellprofiler_core.workspace
  import tests.frontend
label_desc: Use image node_id 29 for calling a global function with example usage: test_enhance_dic(image, module, workspace) without return types