docstr: Prepare the module to receive the settings
  
  setting_values - one string per setting to be initialized
  
  Adjust the number of channels to match the number indicated in
  the settings.
docstr_tok: ["Prepare","the","module","to","receive","the","settings","setting_values","-","one","string","per","setting","to","be","initialized","Adjust","the","number","of","channels","to","match","the","number","indicated","in","the","settings","."]
code: def prepare_settings(self, setting_values):
      """Prepare the module to receive the settings
  
      setting_values - one string per setting to be initialized
  
      Adjust the number of channels to match the number indicated in
      the settings.
      """
      del self.channels[1:]
      nchannels = int(setting_values[SLOT_CHANNEL_COUNT])
      while len(self.channels) < nchannels:
          self.add_channel()
  
imports: import re
  import matplotlib.colors
  import numpy
  from cellprofiler_core.image import Image
  from cellprofiler_core.module import Module
  from cellprofiler_core.setting import Binary
  from cellprofiler_core.setting import HiddenCount
  from cellprofiler_core.setting import SettingsGroup
  from cellprofiler_core.setting import ValidationError
  from cellprofiler_core.setting.choice import Choice
  from cellprofiler_core.setting.do_something import DoSomething
  from cellprofiler_core.setting.do_something import RemoveSettingButton
  from cellprofiler_core.setting.subscriber import ImageSubscriber
  from cellprofiler_core.setting.text import Float
  from cellprofiler_core.setting.text import ImageName
  from cellprofiler_core.setting.text import Integer
label_desc: Use image node_id 17 for calling the ColorToGray obj's underlying member method code with example usage: obj.prepare_settings(setting_values) without return types