code: def get_image_measurements(self, measurements, feature_name):
      assert isinstance(measurements, Measurements)
      image_numbers = measurements.get_image_numbers()
      result = numpy.zeros(len(image_numbers))
      for i, image_number in enumerate(image_numbers):
          value = measurements.get_measurement(
              IMAGE, feature_name, image_number
          )
          result[i] = (
              None
              if value is None
              else value
              if numpy.isscalar(value)
              else value[0]
          )
      return result
  
imports: import functools
  import os
  import numpy
  import scipy.optimize
  from cellprofiler_core.constants.measurement import EXPERIMENT
  from cellprofiler_core.constants.measurement import IMAGE
  from cellprofiler_core.constants.measurement import NEIGHBORS
  from cellprofiler_core.constants.module import IO_FOLDER_CHOICE_HELP_TEXT, IO_WITH_METADATA_HELP_TEXT
  from cellprofiler_core.measurement import Measurements
  from cellprofiler_core.module import Module
  from cellprofiler_core.preferences import ABSOLUTE_FOLDER_NAME
  from cellprofiler_core.preferences import DEFAULT_INPUT_FOLDER_NAME
  from cellprofiler_core.preferences import DEFAULT_INPUT_SUBFOLDER_NAME
  from cellprofiler_core.preferences import DEFAULT_OUTPUT_FOLDER_NAME
  from cellprofiler_core.preferences import DEFAULT_OUTPUT_SUBFOLDER_NAME
  from cellprofiler_core.setting import Binary
  from cellprofiler_core.setting import Divider
  from cellprofiler_core.setting import Measurement
  from cellprofiler_core.setting import SettingsGroup
  from cellprofiler_core.setting import ValidationError
  from cellprofiler_core.setting.do_something import DoSomething
  from cellprofiler_core.setting.do_something import RemoveSettingButton
  from cellprofiler_core.setting.text import Directory
  from cellprofiler_core.setting.text import Text
label_desc: Use image node_id 8 for calling the CalculateStatistics obj's underlying member method code with example usage: obj.get_image_measurements(measurements, feature_name) and returns: result