code: def visible_settings(self):
      __settings__ = super(
          EnhanceOrSuppressFeatures, self
      ).visible_settings()
      __settings__ += [self.method]
      if self.method == ENHANCE:
          __settings__ += [self.enhance_method]
          self.object_size.min_value = 2
          if self.enhance_method == E_DARK_HOLES:
              __settings__ += [self.hole_size]
          elif self.enhance_method == E_TEXTURE:
              __settings__ += [self.smoothing]
          elif self.enhance_method == E_DIC:
              __settings__ += [self.smoothing, self.angle, self.decay]
          elif self.enhance_method == E_NEURITES:
              __settings__ += [self.neurite_choice]
              if self.neurite_choice == N_GRADIENT:
                  __settings__ += [self.object_size]
              else:
                  __settings__ += [self.smoothing]
              __settings__ += [self.wants_rescale]
          elif self.enhance_method == E_SPECKLES:
              __settings__ += [self.object_size, self.speckle_accuracy]
              self.object_size.min_value = 3
          else:
              __settings__ += [self.object_size]
      else:
          __settings__ += [self.object_size]
      return __settings__
  
imports: import centrosome.filter
  import numpy
  import scipy.ndimage
  import skimage.exposure
  import skimage.filters
  import skimage.morphology
  import skimage.transform
  from cellprofiler_core.image import Image
  from cellprofiler_core.module import ImageProcessing
  from cellprofiler_core.setting import Binary
  from cellprofiler_core.setting.choice import Choice
  from cellprofiler_core.setting.range import IntegerRange
  from cellprofiler_core.setting.text import Float
  from cellprofiler_core.setting.text import Integer
  from cellprofiler.modules import _help
label_desc: Use image node_id 3 for calling the EnhanceOrSuppressFeatures obj's underlying member method code with example usage: obj.visible_settings() and returns: __settings__