code: def test_mask_unmasked():
      numpy.random.seed(81)
      images_and_masks = [
          (numpy.random.uniform(size=(10, 10)), None) for i in range(3)
      ]
      image = run_image_set(
          cellprofiler.modules.makeprojection.P_MASK, images_and_masks
      )
      assert tuple(image.pixel_data.shape) == (10, 10)
      assert numpy.all(image.pixel_data == True)
      assert not image.has_mask
  
imports: import numpy
  import six.moves
  import cellprofiler_core.image
  import cellprofiler_core.measurement
  import cellprofiler.modules.makeprojection
  import cellprofiler_core.object
  import cellprofiler_core.pipeline
  import cellprofiler_core.workspace
  import tests.frontend.modules
label_desc: Use image node_id 16 for calling a global function with example usage: test_mask_unmasked() without return types