anchor.diff:  CREATE              :   C_ R_ E_ A_ T_ E_;
   DATA                :   D_ A_ T_ A_;
   DROP                :   D_ R_ O_ P_;
  -TYPE                :   T_ Y_ P_ E_;
  +MODEL               :   M_ O_ D_ E_ L_;
   INSERT              :   I_ N_ S_ E_ R_ T_;
   INTO                :   I_ N_ T_ O_;
   NEURALNETWORK       :   N_ E_ U_ R_ A_ L_ N_ E_ T_ W_ O_ R_ K_;
  
positive.code: 
  complexList
      :   '{' paramValue (',' paramValue)* '}'
      ;
  
  trainConfigs
      :   trainConfig (',' trainConfig)*;
  
  trainConfig
      :   LEARNRULE ('=')? ID
      |   DATA ('=')? ID
      |   INPUT ('=')? list
      |   OUTPUT ('=') list;
negative.code:     |   Integer                                                                 #integerValue
      |   Real                                                                    #realValue
      |   String                                                                  #stringValue
      |   ID                                                                      #idValue
      ;
  
  values
  