code: def test_wrong_size():
      """Regression test for IMG-961: objects & image of different sizes
  
      Make sure that the module executes without exception with and
      without centers and with similarly and differently shaped centers
      """
      numpy.random.seed(43)
      labels = numpy.ones((30, 40), int)
      image = numpy.random.uniform(size=(20, 50))
      m = run_module(image, labels)
      centers = numpy.zeros(labels.shape)
      centers[15, 20] = 1
      m = run_module(image, labels, centers)
      centers = numpy.zeros((35, 35), int)
      centers[15, 20] = 1
      m = run_module(image, labels, centers)
  
imports: import io
  import centrosome.propagate
  import numpy
  import scipy.stats
  import cellprofiler_core.image
  import cellprofiler_core.measurement
  import cellprofiler_core.module
  from cellprofiler_core.constants.measurement import COLTYPE_FLOAT
  import cellprofiler.modules.measureobjectintensitydistribution
  import cellprofiler_core.object
  import cellprofiler_core.pipeline
  import cellprofiler_core.preferences
  import cellprofiler_core.setting
  import cellprofiler_core.workspace
  import tests.frontend.modules
label_desc: Use image node_id 25 for calling a global function with example usage: test_wrong_size() without return types