code: def test_divide_by_image_minimum_masked(
      image, mask, module, workspace
  ):
      data = image.pixel_data
  
      image.mask = mask
  
      module.rescale_method.value = "Divide by the image's minimum"
  
      module.run(workspace)
  
      output = workspace.image_set.get_image("RescaleIntensity")
  
      actual = output.pixel_data
  
      expected = data / 50.0
  
      numpy.testing.assert_array_almost_equal(expected, actual)
  
imports: import base64
  import io
  import zlib
  import numpy
  import pytest
  import skimage.data
  import skimage.exposure
  import cellprofiler_core.image
  import cellprofiler_core.measurement
  import cellprofiler_core.module
  import cellprofiler_core.modules.injectimage
  import cellprofiler.modules.rescaleintensity
  import cellprofiler_core.object
  import cellprofiler_core.pipeline
  import cellprofiler_core.preferences
  import cellprofiler_core.workspace
label_desc: Use image node_id 11 for calling a global function with example usage: test_divide_by_image_minimum_masked(image, mask, module, workspace) without return types