code: def test_some_images():
      numpy.random.seed(31)
      for i in range(1, 5):
          images = [
              numpy.random.uniform(size=(20, 10)).astype(numpy.float32)
              for ii in range(i)
          ]
          workspace, module = make_place_workspace(images)
          assert isinstance(module, cellprofiler.modules.tile.Tile)
          assert isinstance(
              workspace, cellprofiler_core.workspace.Workspace
          )
  
          module.run(workspace)
          image = workspace.image_set.get_image(OUTPUT_IMAGE_NAME)
          pixel_data = image.pixel_data
          for j, p in enumerate(images):
              jj = 10 * j
              assert numpy.all(pixel_data[:, jj : (jj + 10)] == p)
  
imports: import numpy
  import six.moves
  import cellprofiler_core.image
  import cellprofiler_core.measurement
  import cellprofiler.modules.tile
  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_some_images() without return types