code: def test_06_03_test_grouped_imagesets(self):
      # Test an analysis of four imagesets in two groups
      #
      LOGGER.debug(
          "Entering %s"
          % inspect.getframeinfo(inspect.currentframe()).function
      )
      self.wants_analysis_finished = True
      pipeline, m = self.make_pipeline_and_measurements_and_start(
          nimage_sets=4,
          group_numbers=[1, 1, 2, 2],
          group_indexes=[1, 2, 1, 2],
      )
      r = numpy.random.RandomState()
      r.seed(62)
      with self.FakeWorker() as worker:
          #####################################################
          #
          # Connect the worker to the analysis server and get
          # the initial measurements.
          #
          #####################################################
          worker.connect(
              self.analysis.runner.boundary.request_address,
              self.analysis.runner.analysis_id,
          )
          response = worker.request_work()
          response = worker.send(
              anarequest.InitialMeasurements(worker.analysis_id)
          )()
          client_measurements = cellprofiler_core.utilities.measurement.load_measurements_from_buffer(
              response.buf
          )
          response = worker.send(
              ImageSetSuccess(worker.analysis_id, 1)
          )()
          #####################################################
          #
          # Get the second group.
          #
          #####################################################
          response = worker.request_work()
          image_numbers = response.image_set_numbers
          self.assertSequenceEqual(list(image_numbers), [3, 4])
          #####################################################
          #
          # Send the measurement groups
          #
          #####################################################
          objects_measurements = [r.uniform(size=10) for _ in range(4)]
          for image_number in range(2, 5):
              worker.send(
                  ImageSetSuccess(
                      worker.analysis_id, image_set_number=image_number
                  )
              )
          for image_numbers in ((1, 2), (3, 4)):
              m = cellprofiler_core.measurement.Measurements(
                  copy=client_measurements
              )
              for image_number in image_numbers:
                  m[
                      cellprofiler_core.constants.measurement.IMAGE,
                      IMAGE_FEATURE,
                      image_number,
                  ] = (
                      "Hello %d" % image_number
                  )
                  m[
                      OBJECTS_NAME, OBJECTS_FEATURE, image_number
                  ] = objects_measurements[image_number - 1]
              req = anarequest.MeasurementsReport(
                  worker.analysis_id,
                  m.file_contents(),
                  image_set_numbers=image_numbers,
              )
              m.close()
              response = worker.send(req)()
          client_measurements.close()
          #####################################################
          #
          # The server should receive the measurements reports,
          # It should merge the measurements and post an
          # event.Finished event.
          #
          #####################################################
  
          self.check_display_post_run_requests(pipeline)
          result = self.event_queue.get()
          self.assertIsInstance(
              result, cellprofiler_core.analysis.event.Finished
          )
          self.assertFalse(result.cancelled)
          measurements = result.measurements
          self.assertSequenceEqual(
              list(measurements.get_image_numbers()), [1, 2, 3, 4]
          )
          for i in range(1, 5):
              self.assertEqual(
                  measurements[
                      cellprofiler_core.constants.measurement.IMAGE,
                      IMAGE_FEATURE,
                      i,
                  ],
                  "Hello %d" % i,
              )
              numpy.testing.assert_almost_equal(
                  measurements[OBJECTS_NAME, OBJECTS_FEATURE, i],
                  objects_measurements[i - 1],
              )
  
imports: import logging
  import queue
  import pytest
  import inspect
  import numpy
  import os
  import tempfile
  import threading
  import traceback
  import unittest
  import uuid
  import zmq
  import six.moves
  import six.moves.queue
  from importlib.util import find_spec
  import cellprofiler_core.constants.measurement
  import cellprofiler_core.utilities.measurement
  from cellprofiler_core.analysis._analysis import Analysis
  from cellprofiler_core.analysis._runner import Runner
  from cellprofiler_core.analysis.reply import ImageSetSuccess
  import cellprofiler_core.analysis
  import cellprofiler_core.analysis.request
  import cellprofiler_core.analysis.reply
  import cellprofiler_core.analysis.event
  import cellprofiler_core.pipeline
  import cellprofiler_core.module
  import cellprofiler_core.preferences
  import cellprofiler_core.measurement
  import cellprofiler_core.utilities.zmq
  import cellprofiler_core.utilities.zmq.communicable.reply.upstream_exit
label_desc: Use image node_id 23 for calling the TestAnalysis obj's underlying member method code with example usage: obj.test_06_03_test_grouped_imagesets() without return types