code: def test_more_centers_than_labels():
      """Regression test of img-1463"""
      numpy.random.seed(51)
      i, j = numpy.mgrid[0:100, 0:100]
      ir = (i % 10) - 5
      jr = (j % 10) - 5
      il = (i / 10).astype(int)
      jl = (j / 10).astype(int)
      ll = il + jl * 10 + 1
  
      labels = numpy.zeros((100, 100), int)
      labels[ir**2 + jr**2 < 25] = ll[ir**2 + jr**2 < 25]
  
      center_labels = numpy.zeros((100, 100), int)
      i = numpy.random.randint(1, 98, 2000)
      j = numpy.random.randint(1, 98, 2000)
      order = numpy.lexsort((i, j))
      i = i[order]
      j = j[order]
      duplicate = numpy.hstack(
          [[False], (i[:-1] == i[1:]) & (j[:-1] == j[1:])]
      )
      i = i[~duplicate]
      j = j[~duplicate]
      center_labels[i, j] = numpy.arange(1, len(i) + 1)
      image = numpy.random.uniform(size=(100, 100))
      #
      # Crash here prior to fix
      #
      m = run_module(image, labels, center_labels)
  
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 27 for calling a global function with example usage: test_more_centers_than_labels() without return types