class_docstr: !
  @brief Analyser of output dynamic of the oscillatory network syncgcolor.
class_docstr_tok: ["!","@","brief","Analyser","of","output","dynamic","of","the","oscillatory","network","syncgcolor","."]
docstr: !
  @brief Allocates clusters, when one cluster defines only one color.
  
  @param[in] tolerance (double): Defines maximum deviation between phases.
  
  @return (list) Clusters [vertices with color 1], [vertices with color 2], ..., [vertices with color n].
docstr_tok: ["!","@","brief","Allocates","clusters",",","when","one","cluster","defines","only","one","color",".","@","param","[","in","]","tolerance","(","double",")",":","Defines","maximum","deviation","between","phases",".","@","return","(","list",")","Clusters","[","vertices","with","color","1","]",",","[","vertices","with","color","2","]",",","...",",","[","vertices","with","color","n","]","."]
code: def allocate_color_clusters(self, tolerance=0.1):
      """!
      @brief Allocates clusters, when one cluster defines only one color.
  
      @param[in] tolerance (double): Defines maximum deviation between phases.
  
      @return (list) Clusters [vertices with color 1], [vertices with color 2], ..., [vertices with color n].
  
      """
  
      return self.allocate_sync_ensembles(tolerance)
  
file_path: pyclustering/pyclustering/gcolor/sync.py
imports: from pyclustering.nnet import *
  from pyclustering.nnet.sync import sync_network
  from pyclustering.nnet.sync import sync_dynamic
label_desc: Use image node_id 2 for calling the syncgcolor_analyser obj's underlying member method code with example usage: obj.allocate_color_clusters(tolerance) and returns: self