code: def test_enhance_neurites_tubeness_positive(image, module, workspace):
      data = numpy.zeros((20, 30))
  
      data[5:15, 10:20] = numpy.identity(10)
  
      image.pixel_data = data
  
      module.method.value = "Enhance"
  
      module.enhance_method.value = "Neurites"
  
      module.neurite_choice.value = "Tubeness"
  
      module.smoothing.value = 1.0
  
      module.wants_rescale.value = True
  
      module.run(workspace)
  
      output = workspace.image_set.get_image("output")
  
      actual = output.pixel_data
  
      expected = centrosome.filter.hessian(
          scipy.ndimage.gaussian_filter(data, 1.0),
          return_hessian=False,
          return_eigenvectors=False,
      )
  
      expected = -expected[:, :, 0] * (expected[:, :, 0] < 0)
  
      expected = skimage.exposure.rescale_intensity(expected)
  
      numpy.testing.assert_array_almost_equal(expected, actual)
  
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 17 for calling a global function with example usage: test_enhance_neurites_tubeness_positive(image, module, workspace) without return types