original_docstring: 
      Loads the run settings and adds settings to dictionary, along
      with:
      * filename - the filename minus ".json" of the run settings file, for
          saving results, pickles, etc.
      * run_settings_path - abspath to the run settings file, is handed
          to the Dataset class for Pylearn2
      * settings_path - abspath to the settings file, assumed to be in the usual
          cwd
      * modeldir - directory in which to save models
      * pickle abspath - abspath where _this_ run will save its pickle file
      
docstring: Loads the run settings and adds settings to dictionary, along
  with:
  filename - the filename minus ".json" of the run settings file, for
  saving results, pickles, etc.
  run_settings_path - abspath to the run settings file, is handed
  to the Dataset class for Pylearn2
  settings_path - abspath to the settings file, assumed to be in the usual
  cwd
  modeldir - directory in which to save models
  pickle abspath - abspath where _this_ run will save its pickle file
docstring_tokens: Loads the run settings and adds settings to dictionary along with : filename - the filename minus " . json " of the run settings file for saving results pickles etc . run_settings_path - abspath to the run settings file is handed to the Dataset class for Pylearn2 settings_path - abspath to the settings file assumed to be in the usual cwd modeldir - directory in which to save models pickle abspath - abspath where _this_ run will save its pickle file
code: def load_run_settings(run_settings_path, settings,
          settings_path="settings.json", verbose=False, force=False):
      """
      Loads the run settings and adds settings to dictionary, along
      with:
      * filename - the filename minus ".json" of the run settings file, for
          saving results, pickles, etc.
      * run_settings_path - abspath to the run settings file, is handed
          to the Dataset class for Pylearn2
      * settings_path - abspath to the settings file, assumed to be in the usual
          cwd
      * modeldir - directory in which to save models
      * pickle abspath - abspath where _this_ run will save its pickle file
      """
  
      with open(run_settings_path) as rf:
          run_settings = json.load(rf)
      # shoehorn run_settings filename into its own dictionary (for later)
      run_settings['filename'] = os.path.split(
                                          run_settings_path)[-1].split(".")[0]
      # and the full run settings path
      run_settings['run_settings_path'] = os.path.abspath(run_settings_path)
      # if shuffling is specified and it's 1
      if run_settings.get('shuffle',0):
          # shuffle the dataset and apply seed if we have one
          settings.shuffle(run_settings.get('random seed',None))
      # also put the settings in there
      run_settings['settings'] = settings
      # and the settings path, while we're at it
      run_settings['settings_path'] = os.path.abspath(settings_path)
      # add the models directory for this run
      # before saving model check there is somewhere for it to save to
      modeldir = os.path.join(settings.data_dir,"models")
      if not os.path.exists(modeldir):
          os.mkdir(modeldir)
      run_settings['modeldir'] = modeldir
  
      # save the pickle name here, so it's less likely to get garbled between train and test
      run_settings['pickle abspath'] = os.path.join(modeldir,run_settings['filename']+".pkl")
      # also want alternative save path in some situations
      run_settings['alt_picklepath'] = os.path.join(modeldir,run_settings['filename']+"_recent.pkl")
      # check if the pickle already exists - and don't allow overwriting if so
      if os.path.exists(run_settings['pickle abspath']) and not force:
          # not sure what type of error this should be
          raise Exception("Run will overwrite model pickle file, delete or move"
                          " file to continue.")
  
      submissionsdir = os.path.join(settings.data_dir,"submissions")
      if not os.path.exists(submissionsdir):
          os.mkdir(submissionsdir)
  
      run_settings['submissions abspath'] = os.path.join(submissionsdir, run_settings['filename'] + ".csv")
  
      return run_settings
code_tokens: def load_run_settings ( run_settings_path , settings , settings_path = "settings.json" , verbose = False , force = False ) : with open ( run_settings_path ) as rf : run_settings = json . load ( rf ) run_settings [ 'filename' ] = os . path . split ( run_settings_path ) [ - 1 ] . split ( "." ) [ 0 ] run_settings [ 'run_settings_path' ] = os . path . abspath ( run_settings_path ) if run_settings . get ( 'shuffle' , 0 ) : settings . shuffle ( run_settings . get ( 'random seed' , None ) ) run_settings [ 'settings' ] = settings run_settings [ 'settings_path' ] = os . path . abspath ( settings_path ) modeldir = os . path . join ( settings . data_dir , "models" ) if not os . path . exists ( modeldir ) : os . mkdir ( modeldir ) run_settings [ 'modeldir' ] = modeldir run_settings [ 'pickle abspath' ] = os . path . join ( modeldir , run_settings [ 'filename' ] + ".pkl" ) run_settings [ 'alt_picklepath' ] = os . path . join ( modeldir , run_settings [ 'filename' ] + "_recent.pkl" ) if os . path . exists ( run_settings [ 'pickle abspath' ] ) and not force : raise Exception ( "Run will overwrite model pickle file, delete or move" " file to continue." ) submissionsdir = os . path . join ( settings . data_dir , "submissions" ) if not os . path . exists ( submissionsdir ) : os . mkdir ( submissionsdir ) run_settings [ 'submissions abspath' ] = os . path . join ( submissionsdir , run_settings [ 'filename' ] + ".csv" ) return run_settings
short_docstring: Loads the run settings and adds settings to dictionary, along
  with:
   filename - the filename minus ".json" of the run settings file, for
  saving results, pickles, etc.
short_docstring_tokens: Loads the run settings and adds settings to dictionary along with : filename - the filename minus " . json " of the run settings file for saving results pickles etc .
comment: """
      Loads the run settings and adds settings to dictionary, along
      with:
      * filename - the filename minus ".json" of the run settings file, for
          saving results, pickles, etc.
      * run_settings_path - abspath to the run settings file, is handed
          to the Dataset class for Pylearn2
      * settings_path - abspath to the settings file, assumed to be in the usual
          cwd
      * modeldir - directory in which to save models
      * pickle abspath - abspath where _this_ run will save its pickle file
      """$SEP$# shoehorn run_settings filename into its own dictionary (for later)$SEP$# and the full run settings path$SEP$# if shuffling is specified and it's 1$SEP$# shuffle the dataset and apply seed if we have one$SEP$# also put the settings in there$SEP$# and the settings path, while we're at it$SEP$# add the models directory for this run$SEP$# before saving model check there is somewhere for it to save to$SEP$# save the pickle name here, so it's less likely to get garbled between train and test$SEP$# also want alternative save path in some situations$SEP$# check if the pickle already exists - and don't allow overwriting if so$SEP$# not sure what type of error this should be