s(32,16,20)t(24,40,28)-t(32,48,28)t(24,40,20)-+s(24,40,28)-
s(32,32,20)t(40,48,20)t(40,24,12)+t(32,24,12)--t(32,32,20)+
c(32,24,20)c(24,24,20)s(40,40,28)t(40,48,20)-s(48,32,12)--*
c(32,32,28)s(32,40,28)c(32,32,20)*c(40,40,12)s(48,32,12)+*-
s(24,24,20)t(40,32,20)s(40,24,12)+s(16,40,20)+s(24,40,28)**
s(24,32,20)c(32,32,20)c(24,32,20)t(16,40,12)t(40,24,20)+**-
s(40,40,28)c(48,16,12)s(48,32,20)+c(32,32,20)+*t(32,40,28)*
s(32,32,20)s(32,32,12)s(48,32,20)+*t(32,16,12)+t(48,40,12)-
c(24,24,20)s(24,24,12)c(40,24,20)s(24,32,28)s(24,40,28)*-+-
s(24,40,28)s(48,16,12)+s(48,16,20)s(32,40,28)s(40,32,28)++*
s(48,40,12)s(32,40,20)+t(24,48,28)s(16,32,12)+t(16,40,12)-*
s(16,32,20)s(32,32,20)s(32,40,20)*+c(48,32,12)c(24,32,12)+-
s(40,16,12)c(24,40,20)+s(40,48,12)-t(32,40,28)*c(16,40,12)-
s(24,24,20)s(24,40,20)s(32,32,20)*s(32,24,12)+*t(40,40,12)+
t(40,40,12)t(24,24,12)+s(24,32,28)s(48,24,20)c(16,32,12)+-+
s(32,16,20)t(40,16,12)t(40,48,20)+c(40,16,12)s(40,48,12)+*+
c(24,40,20)t(24,32,12)t(32,24,20)+s(24,32,20)*s(16,32,12)+*
s(24,40,12)s(16,24,12)+s(40,40,20)t(32,40,12)-+s(48,40,20)*
s(32,40,20)s(24,48,20)+s(24,40,12)-c(16,32,12)-c(40,40,12)-
s(32,16,20)s(40,24,28)s(24,24,28)*t(24,48,28)-+s(40,24,28)*
c(40,32,20)c(40,40,12)t(24,16,12)+*s(40,16,20)+t(32,32,12)-
c(48,16,12)c(40,40,20)+s(40,24,20)c(32,40,12)--s(32,40,20)-
s(32,24,28)s(16,32,20)c(24,32,20)+s(32,40,28)**t(24,40,28)*
t(24,40,28)c(32,24,20)*s(32,32,20)c(32,40,12)c(48,16,12)+-+
s(32,48,12)c(40,32,12)s(32,8,12)+s(32,24,20)*+s(32,32,20)*
t(16,24,12)s(24,40,28)s(16,48,20)t(24,56,12)--s(32,32,20)*+
s(24,40,20)t(24,32,28)t(48,48,12)+c(40,24,20)t(48,40,12)-*+
s(24,48,20)s(24,40,20)c(16,48,12)+*s(8,24,12)c(48,24,12)++
t(24,32,20)t(24,32,28)s(16,32,20)+c(32,40,20)*+s(40,24,28)*
s(32,24,12)s(40,32,20)s(24,48,20)-t(32,32,28)t(24,40,28)*-+
t(32,32,28)s(40,48,12)-t(32,32,20)s(8,32,12)+t(32,48,20)--
s(40,40,28)t(32,24,20)s(32,40,28)*t(24,40,20)+t(24,24,12)-*
t(24,24,12)c(24,16,12)+c(32,32,20)s(48,24,12)-c(40,24,12)++
c(32,40,20)s(40,40,28)*s(32,40,20)s(24,24,12)+s(24,48,12)-*
c(24,24,20)t(24,32,20)s(8,40,12)++s(32,32,20)t(24,32,28)**
s(24,40,28)s(8,24,12)-s(40,24,12)c(16,40,12)+*s(24,16,20)+
c(40,40,20)s(16,16,20)s(24,40,28)c(24,24,12)t(32,48,20)+*-+
s(40,16,20)t(32,24,20)+c(32,40,20)t(40,24,12)-c(24,24,20)*+
c(48,48,12)s(32,24,28)s(16,40,20)-c(24,24,20)*+s(24,24,20)*
s(24,24,28)s(32,40,28)*t(48,32,12)t(32,16,12)s(24,24,12)++-
s(24,24,28)s(32,16,20)*s(48,16,20)s(24,24,12)s(40,8,12)++*
s(40,24,12)t(24,32,28)+c(32,48,12)s(32,32,28)t(32,48,28)*+-
s(40,16,20)s(16,40,20)s(24,40,28)s(24,40,28)t(24,40,20)--++
c(40,32,12)s(32,40,20)+t(24,32,20)t(40,56,12)+t(32,40,28)+*
c(32,24,20)s(32,48,20)+c(24,40,20)t(40,40,12)-s(32,32,12)-*
s(16,24,12)t(24,40,28)s(40,32,28)*c(32,40,20)t(40,48,12)-*+
t(32,48,12)c(40,24,20)s(32,24,28)t(16,56,12)+*s(40,24,20)*+
s(24,8,12)s(16,48,20)c(32,32,20)c(32,40,12)s(40,32,20)++-+
c(48,40,12)s(24,40,28)s(24,32,28)*c(40,32,20)-+s(32,48,20)-
s(48,40,12)s(40,48,12)+s(24,40,20)t(32,32,28)*s(16,24,12)--
t(40,24,20)s(40,32,12)s(32,16,20)+s(40,32,20)--s(40,40,12)+
t(40,48,20)s(40,16,12)+s(32,16,20)s(32,40,20)t(32,32,28)*--
s(32,16,20)t(24,40,28)s(40,16,20)t(48,40,12)++t(24,32,20)-*
s(32,24,20)t(40,24,20)t(24,32,20)+t(24,24,12)t(40,48,20)+-*
s(48,16,20)s(40,16,20)t(32,48,28)s(40,40,20)-+s(32,32,12)+*
s(32,32,20)t(32,32,28)c(32,32,12)s(32,8,12)+*-c(24,24,12)+
s(24,40,28)s(16,16,20)s(40,32,20)+c(24,40,20)*c(40,24,12)+-
c(40,40,20)s(24,40,28)c(48,24,12)+*s(32,24,28)*t(24,56,12)+
s(24,24,20)s(16,24,20)s(16,32,20)+c(24,48,12)s(24,24,20)+**
t(24,40,28)t(32,32,28)+s(32,48,20)s(24,40,28)**s(48,40,12)-
s(16,40,20)c(32,24,20)+c(24,24,20)t(24,24,12)-s(32,16,12)-*
t(40,32,20)c(40,40,20)s(48,32,20)*s(16,40,20)+*t(32,32,28)*
s(16,32,12)s(32,24,20)+t(16,48,12)+c(40,40,12)-s(24,24,20)*
c(24,24,20)s(16,24,20)*s(16,32,20)c(32,40,20)t(40,24,20)-+*
s(16,32,20)c(24,24,20)c(40,48,12)+c(24,32,20)+c(32,32,20)**
s(32,24,28)s(40,8,12)-t(40,40,12)-c(16,24,12)-s(32,32,20)*
c(48,32,12)s(32,16,20)+s(48,16,20)*s(48,40,20)c(24,24,12)++
s(16,32,20)s(40,8,12)s(32,48,20)++s(32,48,20)-s(16,32,20)*
s(48,8,12)s(48,32,20)s(16,16,12)s(32,40,28)+c(24,32,20)*-+
s(24,24,20)t(24,40,28)s(48,48,12)s(16,32,20)++c(24,40,20)**
s(32,24,20)c(24,32,20)+s(32,40,20)s(24,48,20)t(32,40,28)*--
s(24,24,28)c(24,40,20)*s(40,24,28)c(16,48,12)c(48,16,12)+-*
c(40,40,20)t(32,48,28)s(24,32,20)s(24,48,20)*+*t(24,48,28)*
s(32,32,28)s(24,24,20)t(16,32,12)--s(40,48,20)+s(8,16,12)+
c(24,32,20)t(32,32,28)*s(40,40,28)s(24,48,12)-c(16,32,12)+*
c(24,32,20)c(32,24,20)s(24,24,20)s(40,40,28)-+s(40,24,20)-*
s(8,48,12)s(48,16,20)+c(16,40,12)+t(24,48,28)t(32,40,12)--
s(32,40,20)c(32,24,20)t(24,40,28)+s(48,32,20)*+t(40,40,20)*
s(24,24,28)s(40,24,20)s(24,40,20)t(24,24,20)s(8,24,12)++--
c(32,40,20)s(16,24,20)s(24,40,28)*-t(24,24,20)t(16,16,12)--
s(40,32,20)s(24,32,20)c(40,32,20)*s(40,48,20)+*s(24,24,28)*
c(32,40,20)s(40,24,28)*c(40,16,12)s(24,40,12)+s(40,24,20)*-
t(32,48,28)t(16,56,12)t(32,32,20)c(24,24,20)*+-c(32,40,12)+
s(32,16,20)c(16,32,12)s(40,24,20)c(32,24,20)c(32,32,20)**+*
c(32,40,20)t(40,48,12)-t(32,32,28)*s(32,40,20)s(24,32,28)**
s(24,40,20)s(16,32,20)+s(16,24,20)t(16,40,12)+*t(24,32,28)*
s(24,24,28)c(24,40,20)s(24,48,20)*t(24,48,28)*s(24,32,28)*-
s(16,48,12)c(40,24,20)s(40,48,20)-c(16,32,12)s(48,32,20)+*+
c(32,24,20)c(40,24,20)t(32,48,28)-*s(40,32,20)t(40,40,20)*-
s(40,24,28)s(8,40,12)s(8,8,12)++s(16,32,20)c(16,16,12)+*
t(40,32,20)t(40,48,20)+s(40,32,20)s(32,40,20)--s(32,32,20)*
c(40,24,12)s(24,40,28)c(24,32,20)*t(32,32,12)-s(40,48,20)-+
s(32,32,28)t(32,40,28)s(24,24,20)s(24,16,20)*s(40,24,20)+-*
c(32,32,28)c(40,24,20)s(16,8,12)+*c(24,32,20)s(16,40,12)-*
s(40,24,20)c(32,32,20)*t(40,48,20)c(40,32,12)-+s(40,8,12)+
s(40,24,20)s(48,40,12)c(24,32,20)+s(24,24,28)*t(32,32,28)*-
t(48,16,12)t(32,32,28)+s(24,16,20)c(40,40,12)+*c(48,40,12)-
s(32,24,28)s(32,16,12)-c(24,32,20)*t(16,16,12)s(40,40,20)+*
c(24,32,20)t(24,32,28)*t(24,56,12)s(40,24,28)+c(48,40,12)-*
t(48,16,12)s(32,48,20)+t(24,56,12)-t(24,32,12)-t(32,48,28)+
s(16,40,20)s(24,32,28)s(40,40,20)c(40,32,20)*-s(40,40,28)-*
c(32,32,28)s(8,8,12)s(40,40,28)c(32,16,12)++s(40,24,28)--
s(32,32,20)t(24,32,28)*c(40,48,12)+s(24,48,12)s(48,40,20)+*
t(40,16,12)s(40,48,20)t(32,24,20)+s(24,32,12)c(32,48,12)+-+
s(40,16,20)t(24,16,12)-s(48,40,20)s(8,16,12)+-s(24,32,20)-
s(24,40,28)c(32,32,28)*s(24,48,20)*t(16,32,12)-s(32,40,20)*
s(40,24,20)c(24,40,20)+s(40,48,20)s(24,24,28)+s(32,48,20)*+
t(24,48,12)c(40,32,20)c(24,32,20)c(48,48,12)+s(48,40,20)**+
s(40,32,28)t(32,40,28)s(40,40,28)**t(32,48,28)s(32,40,20)**
s(48,24,20)s(48,48,20)+c(40,24,20)s(40,40,20)*t(32,16,12)+-
s(8,24,12)t(24,48,28)s(16,40,20)*+t(32,24,20)-t(32,40,12)+
t(24,32,28)s(48,32,20)s(32,32,20)*t(32,40,28)+*s(40,32,20)*
s(24,40,28)c(40,24,20)*c(24,32,20)c(40,40,20)-+c(16,32,12)-
s(40,40,28)c(48,16,12)t(24,40,20)t(48,24,12)++*s(32,32,28)*
c(32,32,20)s(8,16,12)s(32,32,12)+s(24,40,12)+*s(40,32,28)*
s(40,32,20)s(16,32,20)+s(24,32,28)s(40,40,20)*-s(24,24,20)*
t(32,48,28)s(48,16,20)+t(16,40,12)s(40,40,28)+*s(32,32,20)-
t(24,48,20)s(16,40,20)t(16,32,12)-t(16,32,12)+s(32,32,28)+*
s(24,40,20)t(16,16,12)+t(32,48,28)s(40,32,28)*t(24,32,12)+-
c(32,40,20)t(32,40,28)*c(24,24,20)*c(24,16,12)+c(40,40,20)-
t(32,32,28)t(24,40,20)-s(32,40,28)s(24,16,20)t(48,24,12)+*-
c(24,40,20)s(16,24,20)c(24,40,12)+*s(40,24,28)t(32,32,20)-+
t(24,56,12)c(16,16,12)+s(24,24,28)t(32,32,28)++s(16,40,20)-
t(32,32,28)s(24,40,12)c(40,40,20)s(24,40,28)s(32,40,28)**+*
c(32,32,28)t(24,40,20)c(32,24,20)s(24,16,20)*-s(32,8,12)+*
s(48,24,20)s(48,32,12)c(24,32,20)s(40,24,20)*+*s(40,24,12)+
s(40,40,20)c(32,32,28)t(32,32,20)s(16,32,12)--s(48,40,20)--
c(16,24,12)s(24,40,20)s(16,24,20)s(40,24,20)+*+t(32,32,12)-
c(48,32,12)s(16,32,20)c(24,40,20)*+s(24,16,20)t(48,32,12)+-
t(24,48,20)t(32,48,28)s(24,40,28)*c(48,48,12)+c(32,32,28)**
c(32,32,20)s(32,40,20)*c(16,48,12)-c(24,40,20)*t(24,16,12)+
s(40,40,28)s(32,40,20)c(24,32,20)*-s(48,40,20)s(40,32,28)+*
t(24,48,20)s(32,40,20)t(32,48,28)+c(24,24,12)-c(48,40,12)+*
c(24,32,20)s(40,32,28)s(24,24,28)*-s(24,24,28)+s(40,24,28)*
c(40,32,20)s(48,48,12)-s(16,24,20)c(24,24,20)*+t(24,48,28)-
s(40,24,28)s(40,24,12)-c(40,40,20)*s(40,40,20)c(32,24,20)+*
s(48,48,20)t(40,48,20)*s(24,40,20)c(32,40,20)+s(48,40,20)-+
s(32,32,20)s(16,32,20)c(32,48,12)+*c(16,48,12)+t(24,24,12)-
s(8,40,12)s(32,8,12)s(24,48,12)c(16,32,12)+++s(24,40,20)-
c(24,24,20)s(24,32,28)c(40,32,20)t(24,32,28)t(32,32,20)**-*
c(32,24,20)s(48,40,20)c(48,24,12)-s(24,32,20)+s(24,32,28)*-
s(16,24,20)s(16,40,20)t(48,24,12)++s(16,16,20)-s(40,40,12)+
s(24,32,20)c(24,40,20)c(32,32,20)t(48,40,12)-*t(32,32,12)-*
s(40,40,20)s(32,24,28)*t(40,40,12)+t(32,32,20)+t(48,24,12)-
s(24,24,28)c(48,40,12)t(32,40,28)+t(32,32,28)s(16,16,20)-**
s(24,40,20)t(32,32,28)s(16,8,12)s(16,48,12)+-s(32,24,12)--
c(32,32,28)s(16,32,12)-s(32,32,12)-s(32,32,20)-s(48,48,12)-
s(48,40,20)c(32,24,20)-s(24,48,20)s(40,40,28)c(24,40,20)**-
c(32,32,12)s(40,32,28)c(40,48,12)-c(24,40,20)t(32,48,20)*-+
s(24,32,28)s(8,32,12)-s(16,16,20)-s(24,40,20)t(32,40,28)**
s(40,24,28)s(32,32,28)+c(32,40,20)t(16,48,12)-c(24,40,20)**
t(32,32,28)t(16,32,12)+t(40,24,20)-s(32,40,28)c(24,40,20)**
c(48,40,12)s(24,40,20)+c(32,40,20)s(32,48,20)*-t(16,24,12)-
t(32,48,28)c(32,24,20)s(24,32,28)s(32,24,28)**-c(40,40,12)-
s(32,48,20)c(24,40,12)s(40,32,20)s(40,32,12)-+s(40,32,20)*+
c(24,24,20)s(32,24,20)*s(48,16,20)t(24,40,28)s(40,32,12)+--
s(40,40,28)s(24,24,20)s(24,32,20)s(32,48,12)+t(32,32,20)-+-
s(24,24,20)s(24,48,12)c(32,24,20)+s(32,40,28)c(40,40,20)**+
c(40,40,20)s(24,40,12)-s(16,32,20)s(32,32,20)*c(40,40,12)+*
s(16,40,20)c(24,40,20)c(32,24,12)s(16,32,20)++c(16,32,12)--
t(32,48,20)c(48,48,12)c(24,24,20)s(32,24,12)-t(32,40,12)-+-
t(24,24,20)s(40,40,20)s(48,16,20)s(40,16,12)--+t(16,24,12)-
s(40,32,28)c(32,32,20)s(40,24,28)+c(32,48,12)-*c(40,40,12)-
s(48,24,20)s(16,16,20)t(24,32,28)+s(16,16,20)--s(24,40,12)+
c(40,32,20)s(48,48,12)c(32,32,12)+-s(16,40,12)+t(32,32,28)*
c(32,32,28)c(32,16,12)-s(16,48,12)c(40,24,12)s(24,24,12)++*
c(32,24,12)c(48,24,12)+s(48,24,20)*t(32,48,28)-s(48,8,12)+
s(24,32,28)t(32,32,20)s(40,16,12)+*s(24,40,20)s(24,24,20)--
s(32,48,12)s(8,8,12)+c(40,40,12)+s(48,32,12)c(40,32,12)++
s(16,32,20)c(24,32,20)c(32,24,12)-*t(16,48,12)+s(16,24,12)-
c(32,40,20)s(8,8,12)s(32,32,20)s(8,48,12)++s(48,16,20)--
s(40,16,12)t(32,40,28)+t(24,40,28)s(32,48,20)--s(32,40,20)*
c(40,32,20)c(24,32,12)c(24,24,20)s(40,24,28)*t(32,40,28)*+*
c(32,24,20)c(32,32,28)t(32,48,12)c(32,24,12)+-t(32,40,28)+*
s(48,48,12)c(24,40,20)+t(24,24,20)-c(32,40,12)s(16,40,12)+-
t(24,16,12)t(32,32,28)+t(24,40,28)s(24,48,20)*-s(32,16,12)-
s(40,16,20)t(24,40,28)-s(48,16,20)*c(16,40,12)t(32,16,12)+-
c(24,40,20)s(24,32,28)c(16,24,12)-s(24,24,20)--s(24,40,12)-
s(24,40,20)s(40,24,28)t(24,48,28)s(32,48,20)*--t(32,48,28)*
s(32,40,28)t(40,48,20)s(48,48,20)*s(16,40,12)s(32,24,20)++-
s(16,24,20)t(24,32,28)c(48,32,12)+c(32,24,20)**t(16,24,12)+
c(24,24,20)s(16,48,20)-s(32,24,20)s(48,24,12)s(24,48,20)+-*
t(24,40,28)t(32,32,20)s(40,16,12)s(48,24,12)++c(24,48,12)++
c(40,24,20)t(40,24,12)c(24,40,12)t(32,32,20)+s(32,40,20)*+*
s(24,24,28)s(16,48,20)+c(32,40,20)*t(32,40,28)*s(32,16,20)+
c(32,24,20)t(16,56,12)s(24,40,20)+s(16,32,20)-+t(24,40,28)*
t(24,48,28)c(24,40,20)s(32,16,20)-*s(32,32,20)+s(40,32,12)-
t(40,32,20)s(16,48,20)+c(24,48,12)t(24,32,20)+*c(16,32,12)-
s(40,24,12)c(40,40,20)t(40,32,20)-c(40,40,12)-+c(24,48,12)-
s(16,24,20)s(24,32,28)s(32,40,20)-t(32,48,28)+s(40,24,20)--
s(32,48,12)s(24,32,28)c(24,40,20)t(32,40,28)*-+s(32,24,28)*
c(32,32,28)s(16,16,12)-c(32,32,28)s(16,48,20)*-s(24,24,20)*
c(32,24,20)s(16,8,12)s(48,24,20)+*s(32,40,28)c(48,32,12)--
s(24,32,28)c(48,40,12)s(24,48,20)+t(24,48,20)t(32,48,20)+**
t(32,32,28)s(40,40,28)t(32,40,28)c(24,40,20)*s(24,48,20)*-*
c(24,24,12)c(24,48,12)c(40,40,20)c(32,32,20)*s(40,48,20)*++
s(40,24,28)c(32,32,20)*s(48,40,20)c(32,24,20)-+s(40,32,12)-
s(40,40,20)s(32,16,20)s(32,24,20)s(16,32,20)-*+s(40,32,20)*
t(16,16,12)s(24,48,12)+t(24,32,20)+s(32,24,20)-t(32,32,20)-
t(32,40,28)s(24,16,20)s(48,48,20)s(48,32,20)*t(48,16,12)++-
c(16,16,12)s(40,32,28)s(16,32,20)s(24,32,20)*++s(24,48,20)*
c(48,24,12)c(32,16,12)+s(40,40,12)+s(24,32,28)+s(32,40,28)-
s(24,40,20)t(48,16,12)+t(32,32,28)t(24,32,28)t(32,24,12)-**
t(24,32,28)s(32,24,20)*s(32,40,12)+t(40,40,12)-t(24,48,12)+
s(16,24,12)s(40,40,20)c(16,40,12)t(32,32,28)+c(48,40,12)--+
s(8,32,12)t(24,48,20)+c(40,40,20)s(32,40,20)+t(32,48,20)--
s(8,24,12)t(24,40,20)t(32,32,20)+s(40,24,28)*+s(40,48,20)-
s(40,40,28)t(48,24,12)-c(24,24,20)-t(32,16,12)+t(40,56,12)-
c(32,32,28)s(24,16,20)s(24,24,28)s(32,40,28)*s(32,8,12)++-
s(40,32,12)c(40,40,20)s(8,48,12)+t(32,32,20)*+s(32,40,20)*
c(32,32,20)t(24,32,28)s(16,32,20)+c(40,24,20)t(40,48,20)--+
s(32,32,28)s(48,48,20)s(16,24,20)+*s(32,16,20)+s(48,40,12)-
s(24,40,28)s(40,16,20)s(32,24,28)*-s(40,40,28)*t(24,48,12)-
s(40,32,28)c(24,16,12)c(40,48,12)+*t(40,16,12)+s(48,40,12)+
t(40,32,20)s(24,48,20)+t(24,48,20)s(24,24,28)c(40,40,20)*--
s(48,24,20)t(48,56,12)t(48,24,12)c(24,40,12)++-s(40,32,12)-
t(32,48,28)s(32,32,12)s(48,40,20)t(40,24,20)-+s(40,32,28)*-
t(32,48,28)t(32,32,28)c(24,24,12)t(40,40,20)+s(24,32,28)*+*
s(16,24,20)t(24,48,20)s(24,32,12)s(24,16,20)++c(40,16,12)-*
t(40,24,20)s(48,8,12)+s(16,8,12)+t(40,48,12)+s(32,24,28)*
t(40,32,20)t(32,48,20)-s(24,16,12)c(40,40,12)++s(32,40,20)*
s(32,16,20)c(32,32,28)s(48,16,20)t(32,32,28)--s(40,32,28)*-
s(40,24,28)t(32,32,28)*c(24,24,20)t(24,32,20)t(32,24,20)+**
s(40,40,12)t(16,56,12)+s(16,48,20)s(32,40,28)t(24,24,20)-*-
s(24,24,28)s(8,40,12)-s(40,48,20)-t(32,24,20)c(32,32,12)+-
t(32,40,28)c(32,24,20)t(32,40,12)-s(48,16,12)-c(40,48,12)+*
s(16,16,12)c(32,32,20)t(32,32,28)*c(24,24,20)*+t(16,16,12)-
c(48,32,12)s(24,40,28)c(48,40,12)c(48,16,12)t(32,40,28)++*+
t(32,48,28)c(24,40,20)*s(8,32,12)+c(16,48,12)-t(24,32,28)*
s(8,24,12)s(16,32,20)t(32,32,28)s(48,48,20)-*+s(8,24,12)-
s(48,48,12)s(32,40,20)s(40,8,12)++s(32,40,20)t(48,24,12)+-
c(32,32,28)s(24,32,28)t(24,24,12)t(40,40,20)+s(24,40,12)-*-
s(48,40,20)c(24,24,20)c(24,16,12)-t(24,24,20)-+s(40,24,20)*
s(16,24,12)s(48,16,20)c(32,24,12)+s(32,24,28)*c(32,24,20)*+
s(32,40,28)c(40,40,12)t(48,40,12)+-t(24,24,20)-c(24,24,20)-
t(24,56,12)s(48,16,20)+s(40,24,28)*t(32,40,28)-t(32,16,12)+
s(40,32,20)c(24,32,20)*s(16,16,12)s(32,16,20)++t(32,40,12)-
s(32,32,20)s(16,24,12)-c(40,24,20)+s(24,32,28)s(40,48,12)--
c(32,40,20)s(32,32,20)s(24,40,28)s(24,24,20)**-t(16,32,12)+
s(40,32,20)s(32,24,20)-c(24,40,20)s(32,40,28)*t(40,48,20)++
s(24,16,20)s(24,40,28)-t(16,16,12)-t(32,40,28)s(16,48,12)-+
s(48,32,12)t(32,40,20)+t(40,24,12)s(48,32,12)++t(40,40,20)*
s(48,24,20)s(48,16,20)*s(40,16,20)t(24,32,28)-s(32,32,12)+*
s(16,8,12)t(32,32,28)s(40,24,28)*+c(32,32,20)s(40,40,28)**
t(24,40,28)s(24,24,28)c(24,24,12)t(16,40,12)t(40,56,12)++**
c(32,24,20)s(16,48,20)c(24,40,20)*-s(24,24,28)*s(24,32,28)*
s(32,24,28)s(8,16,12)s(16,16,12)++c(40,32,20)c(24,16,12)--
s(32,24,28)c(32,40,20)s(48,24,20)s(32,32,28)*t(32,24,20)+*-
c(24,40,20)s(24,40,28)s(32,40,28)+s(32,32,28)*c(32,32,12)-*
c(32,32,20)s(24,40,28)s(40,16,20)-c(40,40,12)+t(24,32,28)++
c(32,32,28)s(24,24,12)s(32,40,28)c(32,16,12)t(32,24,20)+*+-
s(32,8,12)s(32,40,20)s(40,48,20)s(24,40,28)*-+c(24,48,12)-
c(32,32,20)c(32,40,12)-s(24,24,28)s(8,48,12)++t(24,32,28)-
c(24,32,20)s(40,40,20)s(24,40,20)*s(24,8,12)+t(24,40,20)--
s(24,16,20)s(40,48,20)+s(32,40,20)s(24,40,12)-s(8,48,12)+*
t(32,40,28)c(24,40,20)t(24,16,12)t(24,32,20)+*t(40,40,12)+-
c(32,24,20)c(24,16,12)-t(32,32,20)*c(24,40,20)s(24,32,20)*+
s(32,32,28)t(24,24,20)s(16,48,20)+s(40,16,20)-c(24,24,12)--
s(32,40,28)c(32,24,20)s(24,32,28)**t(16,32,12)-c(24,40,20)*
s(24,24,20)s(32,16,20)+s(16,24,20)*s(32,24,28)*s(40,16,20)-
t(24,48,20)t(40,32,12)c(48,16,12)t(48,56,12)+++c(40,32,20)-
t(24,48,20)s(24,24,28)s(40,24,20)*t(32,32,28)*+s(24,24,20)*
s(48,32,20)s(32,24,28)s(40,32,28)**t(16,40,12)+c(40,24,20)*
s(16,16,20)s(24,16,20)c(32,32,28)s(40,16,12)-s(32,40,28)*-*
t(32,40,28)s(16,40,12)-s(32,40,28)s(16,16,20)-*s(40,40,12)-
s(24,24,20)c(24,48,12)t(32,32,20)+s(24,32,28)s(8,40,12)-*-
t(16,56,12)s(16,16,12)t(40,32,20)+s(16,24,12)++s(32,24,28)*
c(32,32,28)s(24,40,28)*s(32,24,20)c(48,16,12)+s(16,32,12)--
c(24,40,12)s(24,40,20)s(16,24,20)s(24,16,20)--t(24,48,28)*+
s(48,40,12)t(40,16,12)t(24,40,12)+t(24,32,12)+c(48,24,12)-+
c(32,32,28)s(40,24,28)s(24,16,20)-t(16,56,12)+s(48,40,12)-*
s(32,32,20)s(48,32,12)+c(48,16,12)-c(48,24,12)s(16,48,12)++
t(40,56,12)c(32,32,28)t(32,48,28)-+s(16,40,20)c(32,32,20)*-
s(48,32,20)s(24,24,20)t(32,40,28)s(24,32,20)s(32,48,12)-+*-
s(8,16,12)s(32,40,12)s(32,48,20)t(32,32,12)-++s(40,24,20)-
s(32,32,20)c(24,40,20)*t(40,24,12)+c(24,16,12)-t(24,40,28)*
s(40,16,20)s(40,32,28)c(24,32,20)*+s(40,40,20)c(24,24,12)-+
t(24,24,20)s(40,24,12)s(24,40,20)s(40,32,12)-s(40,32,20)-++
s(32,32,28)s(24,24,28)s(24,24,20)-t(32,48,20)-s(16,40,12)+-
s(16,48,20)c(24,40,20)t(24,48,28)+s(40,32,12)-*t(32,48,20)-
s(40,32,20)s(40,32,20)s(24,24,12)t(24,48,12)++c(32,24,20)--
c(32,40,20)s(40,40,12)t(24,32,28)t(40,24,20)s(40,32,20)*-+*
c(32,24,20)c(24,24,20)t(24,40,28)*c(48,16,12)+*s(8,32,12)+
s(16,8,12)s(24,32,28)s(24,40,20)s(32,24,12)+-+c(16,16,12)-
s(40,40,28)s(24,32,28)t(24,48,28)s(16,24,20)c(40,40,20)+-++
t(32,40,28)c(16,16,12)t(48,56,12)+s(32,24,28)t(24,32,28)*+*
s(24,24,28)c(32,32,20)s(24,32,28)*t(16,16,12)+c(32,40,20)+*
s(32,48,20)s(16,48,20)s(24,40,20)*t(48,32,12)+s(40,32,12)-+
s(40,24,12)c(24,24,20)s(32,40,12)+s(32,32,20)*c(40,40,20)*+
s(40,16,20)t(32,32,28)+t(32,40,28)s(24,40,20)*-s(24,24,28)-
s(16,32,20)t(24,32,28)*t(32,48,20)-s(32,32,20)s(40,32,20)*+
c(24,40,20)s(8,8,12)s(32,32,20)+c(48,16,12)+c(40,40,20)**
s(24,24,20)t(24,40,20)t(48,32,12)+t(16,48,12)-s(48,48,20)--
c(32,40,20)s(8,40,12)t(48,32,12)+s(48,48,12)c(40,16,12)++-
t(24,48,20)t(32,32,20)s(24,40,20)s(32,16,20)s(40,32,12)-+*+
c(16,16,12)t(32,32,28)s(16,32,20)*c(16,40,12)++c(32,40,20)*
s(32,32,28)c(40,24,12)-s(40,40,20)s(24,24,20)--s(32,40,28)*
c(24,40,20)s(32,32,28)s(24,16,20)*-s(24,40,28)c(32,32,20)**
s(16,8,12)s(24,40,28)+t(24,48,12)-c(24,48,12)+c(16,40,12)-
t(24,24,12)s(32,40,20)t(24,32,28)*s(40,32,28)c(48,32,12)-*+
c(32,32,28)s(24,40,28)s(24,32,28)c(40,24,12)-s(32,48,20)-+*
s(32,24,28)c(24,24,20)s(32,8,12)+t(32,32,12)--c(40,40,20)*
t(40,56,12)s(24,8,12)s(40,40,20)s(24,32,20)c(16,48,12)+-++
s(40,16,20)s(40,16,20)t(32,40,12)+s(40,32,20)**s(32,24,12)+
s(24,24,28)c(40,48,12)t(24,40,28)+*s(40,40,12)-s(40,24,12)+
s(16,24,20)c(32,24,12)-c(24,48,12)s(16,32,12)+s(24,32,20)*+
s(8,48,12)s(32,32,20)+s(32,24,20)*s(16,48,12)+c(40,40,20)*
s(8,16,12)s(40,32,28)t(24,32,20)-+c(32,24,12)-s(32,24,28)*
c(48,48,12)s(16,32,12)+s(24,40,12)c(16,24,12)+t(16,40,12)--
c(40,40,20)s(24,40,20)*s(40,32,28)s(40,40,28)s(40,24,20)--+
s(32,16,20)t(40,48,20)+c(32,40,20)t(24,32,28)+*s(40,32,28)*
c(24,24,20)s(24,24,28)c(32,24,12)-c(40,16,12)-s(16,8,12)-*
s(16,16,20)s(32,24,20)+s(16,8,12)-s(24,24,28)*s(16,24,20)-
s(40,40,28)t(24,40,20)s(24,48,20)+c(32,32,20)-s(32,32,20)+*
c(32,32,20)s(32,24,28)s(24,24,28)*c(40,24,20)**s(32,48,20)-
s(16,24,12)s(48,32,12)t(24,40,28)s(16,40,20)*c(32,32,12)+++
s(24,16,12)t(32,48,28)+s(16,24,20)s(8,8,12)++s(48,16,20)+
t(24,40,28)t(24,32,28)s(40,24,20)t(24,32,20)--+s(16,8,12)+
c(24,24,20)c(40,32,20)+c(24,24,20)s(32,24,20)s(24,48,12)+*-
s(32,48,20)c(40,40,20)s(48,32,20)*-t(40,40,12)+c(48,32,12)-
s(48,32,20)c(40,40,20)*c(40,48,12)+s(48,40,20)s(40,48,20)*-
t(32,32,28)c(24,24,20)t(24,32,20)s(40,48,20)+*s(32,32,20)+*
t(16,48,12)s(48,16,20)+s(32,24,28)+s(40,48,20)c(48,24,12)+-
s(32,24,28)s(40,32,20)*s(32,24,20)t(24,40,20)-c(40,24,20)*+
s(32,24,28)c(24,24,20)s(40,32,20)*s(32,40,20)+s(40,40,20)**
c(40,32,12)s(32,16,20)s(24,40,28)-+t(40,24,20)*t(24,40,12)+
s(32,32,28)s(16,8,12)s(32,32,20)+s(16,40,20)+s(24,32,28)+*
t(32,32,20)t(32,24,20)+c(32,40,20)t(16,56,12)+*t(32,40,28)*
s(32,40,20)c(40,48,12)-s(24,16,12)+t(24,24,12)-s(24,32,28)*
s(40,24,28)t(24,32,28)s(32,48,12)t(48,40,12)++*s(32,32,20)*
s(40,32,20)s(40,48,20)+s(32,40,20)s(32,32,20)*s(40,16,12)+-
c(40,24,20)t(24,32,28)+s(32,24,28)s(40,40,28)-+s(32,48,20)*
s(32,16,20)c(48,32,12)s(32,32,28)s(24,24,28)*+c(24,16,12)--
s(32,32,20)s(48,48,20)-c(16,24,12)-c(32,16,12)+s(32,32,20)*
t(24,48,28)t(32,48,28)t(40,32,20)s(40,16,12)-+t(48,24,12)+*
c(40,48,12)s(40,40,12)+s(40,40,20)*t(32,40,28)s(24,40,28)*+
c(40,40,20)s(24,32,28)t(24,24,12)-c(32,40,20)c(32,24,12)+*+
s(24,32,28)t(40,48,20)c(32,24,12)+*t(24,40,28)t(32,48,20)*-
t(24,32,20)s(32,40,20)s(32,32,20)*c(32,48,12)c(32,32,12)+*+
c(32,32,28)t(32,32,20)t(24,32,28)*c(32,16,12)+s(24,48,12)+-
s(16,48,12)s(16,32,20)t(24,40,28)s(32,40,28)t(32,48,28)**-+
s(48,32,20)t(32,32,20)+t(24,16,12)s(48,48,20)+-s(8,16,12)+
s(32,32,28)c(32,16,12)c(24,32,20)t(32,24,20)*+*s(16,48,20)+
t(24,48,20)t(32,56,12)-s(32,32,20)s(48,48,20)+t(24,32,28)-+
s(40,16,20)t(24,56,12)+t(32,48,12)t(32,32,20)+-s(32,32,28)-
c(48,48,12)c(16,24,12)+s(8,24,12)c(24,24,20)s(24,16,20)*++
s(32,40,28)s(24,32,28)s(16,48,20)s(32,24,20)+s(8,48,12)-*-
c(24,32,20)s(32,32,20)s(40,24,12)-t(40,40,12)-t(40,48,12)++
s(24,24,28)s(40,16,20)*s(40,32,28)c(32,24,12)-+s(48,48,12)-
t(16,16,12)c(40,24,12)t(24,48,28)+s(40,40,20)*+c(32,16,12)+
c(32,40,20)s(40,24,20)*s(16,8,12)+s(32,40,20)+c(40,24,20)*
s(32,24,28)t(32,32,28)*s(24,32,12)-t(32,32,28)t(24,24,20)-*
s(40,32,20)s(16,48,20)s(32,24,28)s(8,48,12)t(32,24,12)+-+*
s(32,48,20)s(40,24,20)+s(32,48,20)t(24,40,28)*-s(48,16,20)-
t(40,32,20)s(24,24,28)s(8,32,12)-+t(24,32,20)-c(32,16,12)-
s(48,40,20)c(40,40,12)c(24,48,12)+c(32,24,12)+s(16,48,20)-*
s(48,24,20)t(32,40,28)s(32,32,28)s(40,16,12)-*-t(32,56,12)+
s(16,32,20)t(24,40,12)c(40,48,12)+c(40,32,20)s(24,40,12)-++
t(32,16,12)s(32,48,12)+t(40,32,12)+c(32,24,20)+t(24,40,28)*
s(40,24,12)s(32,24,20)c(32,40,20)+s(48,48,20)*+c(40,48,12)-
s(40,8,12)s(32,32,12)+s(16,32,20)s(24,40,28)s(40,24,20)+*+
c(32,32,28)s(24,24,28)s(16,24,12)-*s(24,16,12)s(16,16,12)+-
s(40,24,20)s(24,24,28)s(40,16,20)s(40,40,28)+*c(40,32,20)*+
s(24,48,12)c(40,32,20)+c(24,32,20)s(40,24,12)-s(8,32,12)--
c(24,40,12)c(40,40,20)t(40,56,12)t(40,40,12)+-+s(8,48,12)+
s(32,32,28)s(24,40,12)s(32,24,28)t(32,40,28)-+-s(40,32,20)*
c(24,24,20)c(24,40,12)+s(32,24,20)s(24,48,12)+s(48,24,12)+*
t(32,40,20)s(16,24,20)s(24,24,20)+s(32,24,12)t(32,16,12)+--
s(32,40,28)s(48,40,12)c(24,24,12)+*t(40,32,20)+t(16,48,12)+
t(32,48,20)c(40,32,12)s(24,40,28)s(32,32,12)-+c(24,40,20)*+
t(24,32,28)c(32,24,12)s(16,48,20)c(40,32,20)s(48,16,20)*++*
s(32,40,28)s(40,40,28)t(32,32,28)*-c(16,24,12)c(48,48,12)+-
s(8,16,12)s(24,40,28)+s(40,24,20)s(32,40,12)+c(40,24,20)**
s(32,16,12)c(40,48,12)+s(32,24,20)s(48,48,12)+*t(32,48,28)+
s(24,32,20)s(16,16,20)+t(40,24,20)s(24,16,12)c(24,48,12)++*
s(24,24,20)s(24,16,20)s(40,16,20)-s(8,32,12)--t(24,48,20)-
c(24,48,12)c(32,32,12)+s(32,48,20)*c(48,40,12)+t(32,48,20)-
s(40,40,20)s(40,24,20)s(40,8,12)+s(32,24,20)c(24,24,20)*--
s(32,24,20)c(32,32,28)s(8,40,12)s(16,16,20)+*t(48,16,12)+-
s(40,40,28)s(24,24,12)c(32,40,20)s(24,40,28)*+t(32,40,28)**
s(32,48,12)s(32,32,28)c(24,16,12)c(48,16,12)+*+s(40,16,20)-
t(24,48,28)c(24,40,12)-c(40,40,20)s(24,40,28)t(32,24,20)-*+
c(32,24,20)s(32,48,20)s(24,24,20)c(40,24,20)c(32,40,12)+*--
s(24,24,20)s(32,8,12)-t(32,40,28)+t(32,48,28)c(40,40,20)**
s(32,24,20)t(24,40,28)t(24,48,20)*s(40,32,28)+s(16,48,12)-*
t(24,48,28)s(24,40,20)*c(24,24,20)+s(24,40,12)-t(40,24,20)-
s(40,32,20)s(16,48,12)s(8,48,12)+t(16,16,12)++c(32,32,20)+
s(8,40,12)s(16,24,20)t(32,32,28)-+c(40,48,12)t(16,16,12)++
s(32,32,28)c(48,48,12)t(32,32,28)c(40,24,20)*+s(48,48,20)+*
s(32,40,28)t(24,40,28)s(40,32,12)+c(24,24,20)t(32,32,20)*--
s(40,24,12)s(24,48,20)+s(24,32,12)-s(32,32,28)s(16,16,20)-*
c(32,40,20)s(48,40,12)s(32,32,12)+-c(32,40,20)c(32,24,20)-*
c(32,24,20)c(32,32,20)c(48,16,12)-*t(48,16,12)+c(40,24,20)*
t(24,48,28)t(24,56,12)c(40,32,20)+t(24,48,20)-s(40,48,20)*-
t(24,48,28)c(24,40,20)s(16,48,20)s(40,40,20)+s(16,48,12)-**
s(40,32,28)s(24,8,12)c(24,40,20)t(40,56,12)s(40,40,20)+*+*
s(16,48,20)t(24,40,20)s(40,48,12)-s(24,32,28)s(24,16,20)*++
s(32,32,28)s(48,24,20)s(40,32,20)t(32,32,20)*--s(24,32,20)-
c(24,24,20)t(24,24,20)t(40,48,12)+c(32,40,20)*-c(40,24,20)-
s(24,32,20)t(32,32,28)c(40,40,20)s(40,32,20)*c(32,16,12)--*
t(24,48,12)t(40,32,20)+t(24,32,20)c(24,40,20)s(16,32,20)**-
c(24,48,12)c(40,24,12)t(16,32,12)+t(32,48,20)+t(32,56,12)-+
t(24,32,12)c(24,40,20)s(24,40,12)-+s(32,48,20)c(48,16,12)+*
t(32,32,28)t(24,48,28)t(24,32,12)-t(24,40,28)*+s(48,40,20)*
t(32,32,28)t(24,48,28)s(16,24,12)c(24,24,12)+--c(40,32,20)*
t(24,32,28)s(40,48,20)-c(40,40,20)t(32,32,12)-+s(16,48,20)-
c(24,24,20)t(16,32,12)t(40,32,12)+s(8,24,12)+*t(48,16,12)+
s(40,24,20)t(32,32,28)t(32,32,12)-+c(40,40,20)t(24,24,20)-*
c(40,32,20)t(16,24,12)+c(40,24,12)s(40,40,20)+*s(32,48,12)+
s(40,40,28)c(24,24,20)-s(24,32,20)s(40,24,12)++s(16,48,20)*
s(24,16,20)s(32,32,28)s(48,40,20)t(32,48,12)-c(24,16,12)+-+
s(16,24,20)t(24,32,20)s(48,48,20)c(48,40,12)c(40,24,20)+*++
s(40,24,20)s(40,32,20)*s(32,24,20)*c(40,24,20)s(32,40,28)**
s(16,16,12)s(32,16,20)c(32,32,20)c(32,24,20)+c(24,32,12)-*+
s(40,32,20)s(32,32,20)s(24,32,20)c(16,48,12)-s(40,24,12)-*-
c(24,32,20)s(48,40,20)t(48,32,12)-s(32,40,20)+s(48,40,20)*+
s(40,40,28)s(40,48,20)c(16,48,12)++s(16,48,20)s(16,24,12)+*
s(40,24,28)s(48,32,20)s(40,48,12)-*t(40,40,20)-c(32,24,20)+
s(40,24,28)s(24,24,28)+s(16,24,20)s(16,48,12)s(40,16,20)++*
s(24,32,20)t(24,32,28)t(48,32,12)s(40,32,12)s(48,48,12)++-+
s(24,16,20)c(24,40,20)t(24,32,28)*s(16,24,20)c(32,24,12)-+-
c(24,32,20)t(32,32,28)s(40,24,28)*s(8,48,12)+*t(24,16,12)-
s(40,40,20)c(48,16,12)c(32,40,20)s(32,24,28)*+c(32,48,12)+*
s(32,24,28)t(24,32,28)s(40,32,20)-t(24,48,20)s(16,24,20)+*-
c(24,24,12)c(24,32,12)c(16,24,12)+s(32,32,20)*+s(40,8,12)+
s(32,16,20)s(16,32,20)s(48,24,20)+s(24,32,28)+s(40,40,28)*-
s(40,32,20)s(48,24,20)c(40,32,20)t(24,48,20)-+t(48,32,12)-*
t(32,48,28)s(32,24,28)-s(24,40,28)s(24,32,28)c(16,24,12)-*+
t(16,32,12)c(40,32,20)+c(40,40,20)s(40,24,20)-t(40,48,20)*-
s(32,40,28)s(32,48,20)c(16,24,12)s(24,48,20)+*t(32,32,20)+*
c(24,24,20)s(40,40,28)s(40,40,12)-+c(40,40,12)-s(40,24,28)*
c(32,40,20)s(24,40,20)+s(48,8,12)s(40,40,28)t(24,48,28)*+*
c(40,32,20)s(24,32,28)t(24,24,12)-c(16,32,12)s(16,16,20)+*+
t(24,40,28)t(32,32,28)t(40,40,20)c(32,40,20)s(40,24,20)-+**
s(48,24,20)t(24,24,12)s(48,32,12)+c(48,48,12)c(40,24,12)+++
c(48,16,12)c(40,40,20)s(48,24,20)s(40,32,12)--+s(48,48,12)-
c(40,24,20)t(24,48,28)-s(32,32,12)c(24,24,20)t(32,40,28)-+-
s(40,40,28)c(32,32,12)-s(40,48,20)c(24,48,12)--t(32,32,28)-
s(40,24,28)t(24,32,20)-t(40,40,20)c(48,32,12)c(24,16,12)++*
t(24,32,28)s(48,24,20)+s(40,40,12)t(24,32,28)s(32,24,20)*+-
c(24,40,20)t(32,32,28)s(24,24,28)s(32,48,20)-*+s(8,16,12)+
c(24,16,12)c(24,40,12)+t(32,40,28)t(32,32,28)t(32,24,12)-*+
s(24,24,12)t(48,48,12)+s(32,40,20)s(16,24,20)-+s(40,24,28)*
c(48,32,12)t(40,40,20)+t(16,24,12)+c(40,24,20)*c(40,40,12)+
s(32,16,12)t(32,48,28)s(24,24,20)c(32,32,20)*-+s(32,48,12)-
s(48,24,12)c(32,32,12)+s(24,24,28)s(40,40,28)s(16,40,20)+**
s(24,40,20)s(24,40,28)c(40,24,20)c(24,24,20)*t(32,16,12)--+
c(32,24,20)c(24,32,12)-s(16,40,20)s(32,40,20)s(24,40,12)--+
c(32,32,20)s(16,48,12)+s(16,32,12)-t(24,48,28)*t(32,40,28)*
s(40,40,28)s(24,40,20)s(24,16,20)s(48,24,20)s(48,16,20)+--*
c(32,32,28)s(40,40,28)s(40,16,20)s(48,32,12)-c(32,40,12)+-*
s(32,40,28)c(32,24,20)+t(32,24,12)s(8,40,12)s(48,48,20)+++
s(40,32,20)s(40,24,28)c(40,32,20)*c(48,32,12)s(16,16,20)+**
c(24,24,20)s(24,40,28)s(40,40,28)s(40,16,20)-*-t(40,32,20)+
c(40,24,20)s(32,32,20)+s(32,32,28)*t(40,32,20)-s(32,48,12)-
s(24,40,28)s(24,24,28)t(32,32,28)*c(24,32,20)*s(32,40,20)+-
c(24,48,12)s(32,16,20)s(40,16,12)-s(16,32,20)s(24,24,28)*++
s(8,40,12)s(16,16,20)s(40,24,20)+c(24,32,12)-+s(32,32,28)+
s(40,40,28)t(24,40,28)s(32,24,12)--s(32,32,28)s(16,24,12)-*
t(48,24,12)s(24,32,28)s(32,32,12)-s(48,32,20)-+s(16,32,20)*
s(24,40,28)s(24,32,28)+s(32,32,20)t(32,40,12)t(48,48,12)++*
s(40,40,28)c(40,40,20)t(40,32,12)-t(40,48,20)--t(32,48,20)*
s(48,40,20)t(32,24,20)s(48,40,20)-+t(32,40,28)s(48,40,20)*-
s(24,48,12)t(16,40,12)c(32,24,20)++c(24,32,20)s(32,48,12)+*
s(16,8,12)s(24,24,12)+c(48,40,12)+s(32,48,20)+s(24,24,12)-
s(40,24,28)s(24,40,12)-t(24,32,20)-t(40,16,12)s(48,40,12)+-
s(48,24,12)t(40,40,20)t(40,24,12)-+s(32,32,20)t(40,32,20)*+
s(48,32,20)s(32,8,12)s(48,48,20)+*s(32,16,20)+c(48,24,12)-
s(24,24,28)s(16,24,12)-s(40,48,20)+c(32,32,28)s(16,24,12)-*
s(32,32,28)s(16,24,12)-c(24,40,20)*c(40,40,20)s(32,48,12)--
s(24,32,20)s(24,48,12)-s(32,16,20)-t(24,16,12)+c(48,48,12)+
c(32,24,20)c(40,48,12)+s(48,40,12)s(24,24,28)s(24,32,28)+++
s(32,48,20)t(24,40,28)*t(24,40,28)s(16,32,12)-s(8,48,12)-*
s(48,48,20)s(16,40,20)s(24,32,28)*s(24,48,12)-+c(24,24,20)+
s(40,40,28)s(24,40,28)s(32,40,28)c(40,40,20)s(40,24,20)*-*-
t(24,48,12)t(24,24,20)c(24,32,12)++s(40,8,12)+c(40,40,20)+
t(24,24,12)t(32,40,20)+s(40,16,20)+s(48,32,20)c(40,40,20)*+
s(40,40,28)c(32,24,20)+t(24,32,28)s(16,24,20)*t(24,48,20)--
s(32,48,12)s(32,16,20)+c(32,40,20)c(40,24,20)s(24,32,20)-+*
c(24,40,20)s(48,32,20)s(24,24,20)s(40,32,28)*--s(32,24,28)-
c(16,24,12)s(40,24,28)s(24,24,12)-s(48,32,20)*t(40,32,20)*+
s(24,8,12)s(24,40,20)s(24,24,12)-+c(24,40,20)*s(32,40,12)-
c(32,32,20)c(32,40,20)s(24,40,28)**s(32,24,28)c(40,24,12)-*
t(24,24,12)s(48,8,12)s(32,32,12)t(40,32,20)+++c(32,24,20)*
s(32,24,20)s(32,32,20)t(24,32,20)t(48,48,12)+*-s(32,16,12)+
c(40,40,20)t(32,48,28)s(32,40,28)**s(48,32,20)-t(32,56,12)+
c(48,48,12)s(32,24,20)s(40,8,12)-+t(32,40,28)s(16,16,12)+*
s(32,32,20)s(32,32,28)c(32,40,20)-t(24,48,28)c(48,32,12)++*
t(24,32,28)s(24,32,20)s(40,24,28)*-s(40,40,20)+t(32,32,20)-
t(32,40,20)t(24,56,12)+t(32,40,28)s(40,24,20)t(32,32,28)*-*
t(16,56,12)s(48,24,20)s(32,32,20)c(48,40,12)+s(8,24,12)+-+
t(32,32,28)s(32,48,20)s(32,32,28)s(24,32,28)*s(48,24,12)++*
s(32,24,28)s(32,32,20)s(48,32,12)-t(40,56,12)+s(24,48,12)-+
c(40,24,20)s(40,16,20)s(32,24,28)*t(24,40,28)+s(32,32,28)**
s(40,40,28)s(8,32,12)+c(48,40,12)-c(16,40,12)-c(32,32,28)*
s(16,40,20)s(32,48,20)s(40,48,12)-+c(24,40,20)s(40,32,28)*-
t(24,40,28)s(24,40,12)s(24,24,12)+s(40,8,12)+*c(32,40,20)*
c(32,32,20)s(40,32,12)t(40,24,12)+c(24,24,12)s(16,32,12)++*
t(32,40,20)s(32,32,28)t(24,40,28)-s(24,24,28)*+t(32,16,12)-
s(40,24,28)s(40,24,20)-s(24,48,20)t(32,48,20)+s(24,24,28)-+
c(24,24,20)s(16,16,20)c(40,24,20)c(48,16,12)-s(8,16,12)+--
s(40,32,28)c(32,32,12)-t(32,40,20)-s(40,24,28)s(40,48,20)-*
c(32,32,20)s(40,32,12)s(32,24,28)t(40,32,20)-+*s(24,48,20)+
s(32,24,20)c(40,40,20)t(24,32,28)t(24,32,20)--c(40,24,20)-+
s(40,24,20)c(40,32,20)*s(32,32,20)c(24,40,20)*t(24,48,12)--
s(16,32,12)c(32,24,20)c(24,32,20)s(40,32,28)*-+s(16,40,12)-
s(24,24,20)s(32,32,28)s(16,40,20)--t(24,40,28)+s(32,24,28)-
s(40,16,20)c(24,40,20)s(16,24,20)t(24,40,12)+*s(32,24,20)+*
s(24,32,28)s(24,32,20)s(32,32,20)*s(40,24,20)t(32,32,20)+*-
c(32,40,20)t(32,24,12)-s(24,32,20)t(24,48,20)+t(24,40,28)**
s(40,40,28)t(32,32,20)-c(16,48,12)t(24,16,12)+s(32,48,20)+*
t(24,40,28)c(32,32,12)s(16,48,20)t(24,24,20)+s(32,40,20)*+*
s(32,24,12)s(40,48,12)s(24,40,28)s(16,24,12)c(24,32,12)+*++
c(48,40,12)t(24,32,28)+s(40,32,28)t(32,40,12)-+t(24,48,28)-
t(32,56,12)s(48,48,20)+c(40,16,12)s(40,48,20)c(40,48,12)-++
s(40,32,12)s(24,16,20)c(24,24,20)t(24,40,20)-*s(32,16,20)*+
c(32,40,20)s(40,40,28)c(24,32,20)*s(40,32,28)s(48,40,20)*--
s(48,24,20)c(48,40,12)t(48,32,12)+-t(32,32,20)t(40,48,20)--
s(24,32,28)s(40,32,28)-s(48,40,20)+t(24,48,28)+t(32,48,20)-
s(32,48,20)t(32,40,28)*s(24,24,20)c(16,16,12)--t(24,32,12)+
c(40,32,20)s(24,32,20)c(24,32,20)s(32,24,28)***s(8,16,12)+
c(32,40,20)c(32,32,28)s(16,48,20)t(32,24,20)++c(40,32,20)--
s(40,32,12)t(16,56,12)+t(40,16,12)+t(32,32,28)s(24,24,20)*-
c(24,32,20)s(8,8,12)s(40,24,28)+s(24,16,20)*-s(24,40,20)+
s(32,16,20)s(24,16,12)-c(48,40,12)+c(32,32,20)-s(32,16,12)-
c(40,24,20)c(40,32,20)s(32,32,20)s(16,32,12)+*-s(8,40,12)+
c(40,40,20)c(32,40,20)*s(8,16,12)s(48,24,20)+-t(24,32,12)-
t(24,32,20)t(48,48,12)s(24,32,28)s(40,24,20)+s(40,40,12)-+*
c(32,40,20)s(32,32,28)t(24,32,28)*s(8,16,12)s(16,32,20)+*-
s(32,40,20)t(32,32,28)t(32,40,28)**s(16,40,12)+s(24,48,12)-
s(16,40,20)t(32,16,12)+c(32,48,12)t(16,24,12)++s(32,32,20)*
c(32,32,20)s(16,16,20)s(24,24,28)s(40,16,20)*t(16,48,12)+--
s(40,40,20)s(40,24,20)+c(48,24,12)t(32,24,12)+-t(24,40,28)*
t(40,24,20)s(24,16,20)+s(40,24,20)t(40,24,12)-t(48,40,12)+*
t(32,48,28)s(16,32,20)t(48,40,12)+-t(40,40,12)c(24,16,12)+-
s(40,32,28)c(40,48,12)-c(24,32,20)t(32,48,20)+*c(32,24,20)*
c(40,32,20)t(32,24,20)*t(40,56,12)s(24,24,28)s(24,40,20)-++
s(16,24,20)c(40,32,20)s(40,40,12)-+t(24,48,20)t(40,24,20)+-
t(32,48,28)t(32,56,12)-s(32,40,20)t(24,32,28)t(24,48,20)+*+
s(24,32,28)s(16,32,20)s(40,24,20)t(32,32,28)*-*t(32,40,12)+
s(24,48,20)s(32,48,20)s(8,32,12)+s(40,40,28)c(32,40,20)***
s(40,40,20)c(16,48,12)s(40,32,20)s(24,40,20)-t(48,48,12)-++
t(24,48,20)c(32,24,12)+c(16,48,12)+c(48,40,12)+s(40,24,20)-
s(24,32,12)s(16,16,20)s(40,16,20)t(32,32,20)-s(32,16,20)+*+
t(40,48,20)s(32,24,20)t(48,32,12)+s(32,16,12)s(48,48,20)+*-
t(24,32,20)c(16,48,12)s(24,24,28)+c(32,32,20)-s(24,48,20)++
s(40,24,28)s(8,16,12)s(32,32,28)s(40,32,12)s(24,40,20)+-++
t(40,32,12)s(16,24,12)c(24,40,12)s(24,24,12)++s(24,40,28)*+
s(32,32,20)c(48,24,12)c(40,48,12)+s(24,24,20)c(24,40,20)-+*
s(40,40,20)c(32,24,20)s(48,24,20)-+t(16,16,12)t(24,32,28)+*
s(16,48,12)c(32,40,20)+s(16,48,20)-t(32,40,28)*c(48,32,12)-
s(32,24,20)s(24,32,20)c(16,16,12)+t(32,48,20)-s(16,48,20)++
c(24,24,20)s(24,32,20)*c(24,24,12)c(40,48,12)++c(32,32,20)*
c(32,32,28)c(40,40,12)-s(24,24,20)t(24,56,12)+-t(40,56,12)+
c(40,24,20)t(24,32,28)s(32,40,28)*t(40,32,20)+*s(32,40,20)+
s(24,40,28)t(32,32,28)t(24,40,28)*-s(48,24,20)t(24,48,28)+*
t(16,48,12)s(32,24,20)c(48,24,12)-+c(24,40,12)-s(40,32,20)+
t(40,24,12)t(24,32,20)+t(24,32,28)s(16,32,20)t(48,16,12)+**
t(32,24,20)s(40,24,20)s(48,24,20)s(24,40,12)+*s(32,32,20)+*
c(40,24,20)s(32,40,28)t(24,40,20)-c(16,32,12)-s(48,48,20)*-
c(32,24,12)t(16,40,12)t(32,48,28)s(40,40,28)*s(32,48,20)*++
s(24,24,28)c(24,40,12)-c(48,32,12)s(16,24,20)+t(24,48,12)+*
c(32,32,28)t(32,32,12)s(16,48,20)+t(32,40,28)+*c(40,24,20)*
s(40,24,28)s(32,32,20)s(24,40,20)t(24,48,20)-+*c(32,48,12)-
t(40,24,20)t(16,16,12)+c(32,24,20)s(40,16,20)-c(24,32,12)+-
t(32,48,28)t(32,40,20)c(40,24,12)-c(32,24,20)s(48,32,20)*+-
t(32,32,28)s(40,24,20)c(40,40,20)--s(24,40,28)c(32,24,20)**
s(40,40,28)c(24,24,20)s(48,48,20)+s(32,32,12)-*t(40,40,20)+
s(16,16,12)c(32,40,12)+t(16,56,12)s(24,32,20)++c(32,40,20)*
s(40,40,28)c(40,48,12)t(16,40,12)+*t(40,32,20)c(24,24,20)++
t(40,24,20)s(48,16,20)t(32,32,28)-s(48,40,20)-+s(24,24,20)-
c(48,16,12)s(16,16,20)c(32,24,20)-+s(48,24,12)+c(48,16,12)-
c(48,32,12)s(40,40,28)s(8,24,12)t(32,48,28)+*+s(40,40,12)-
s(32,32,20)s(40,40,20)s(8,48,12)+t(40,40,20)s(24,32,20)+**
c(16,24,12)s(16,40,20)s(40,48,12)+t(48,24,12)+s(8,48,12)-+
c(40,40,20)s(40,48,20)c(48,32,12)-*s(24,40,28)s(24,48,20)-+
s(24,48,12)s(24,16,20)t(40,24,20)++s(48,40,20)t(40,40,20)*+
s(24,40,28)s(40,32,20)s(32,40,20)c(40,40,20)*s(24,32,28)**-
s(24,16,20)c(24,40,20)s(32,40,12)c(40,48,12)s(16,8,12)++--
s(32,32,28)s(16,8,12)+s(40,32,28)*s(24,40,28)t(16,40,12)-*
s(40,32,20)t(24,32,20)-c(32,40,20)c(32,24,20)-c(24,40,12)--
t(24,48,28)t(32,24,20)-c(32,32,20)s(24,24,28)*t(24,40,28)+*
c(40,24,20)s(16,40,20)t(24,32,28)+c(24,32,20)*s(32,32,20)**
c(40,40,20)s(40,16,20)-s(40,32,28)s(16,16,20)-s(32,32,20)**
s(32,40,28)s(40,32,12)t(48,24,12)s(24,40,20)++c(40,16,12)-*
t(32,32,20)c(48,24,12)c(24,48,12)+t(24,48,28)*-s(24,16,20)+
s(48,32,20)t(48,56,12)+s(40,32,20)s(48,24,12)-c(40,48,12)+-
t(16,16,12)s(40,24,12)+s(24,40,28)c(32,24,20)s(48,48,20)-*+
s(40,48,20)s(24,24,12)+c(24,24,20)s(16,24,20)*s(32,40,20)++
t(48,24,12)c(32,32,20)t(40,24,20)s(48,16,12)--+t(24,40,28)*
c(32,32,28)s(32,16,12)-s(32,32,28)s(48,48,20)-+c(16,24,12)-
s(24,48,20)t(32,48,28)*s(32,16,20)t(32,48,20)+t(24,48,28)**
s(24,40,28)s(32,40,28)t(16,48,12)-s(40,48,20)s(32,40,20)+**
t(24,48,28)s(40,48,20)c(40,32,20)*+t(32,40,20)c(16,32,12)+*
c(24,32,12)t(40,32,20)t(48,32,12)-t(48,16,12)+s(48,8,12)-+
s(32,32,20)t(32,32,28)c(32,40,12)-t(40,24,20)+*t(48,24,12)-
t(16,40,12)c(32,48,12)+t(24,48,28)*s(32,32,20)t(24,32,20)*+
s(32,40,20)s(24,24,20)s(24,40,20)s(48,40,12)+c(32,24,12)+*-
s(16,32,20)t(24,48,20)c(24,24,20)+*t(40,32,12)c(24,16,12)+-
s(40,40,28)c(40,40,12)-c(40,24,12)+c(40,32,20)c(24,32,20)-*
s(40,40,28)c(40,40,12)-c(16,16,12)t(40,48,20)+s(32,40,28)+*
t(32,48,28)c(40,40,20)t(32,40,28)t(32,56,12)+*c(40,40,12)--
t(24,48,28)s(32,48,12)-c(24,24,20)s(48,32,20)-s(16,32,20)*-
c(24,40,20)t(40,48,20)-s(32,32,20)s(40,40,12)-t(32,40,28)*-
s(48,32,20)s(24,48,20)s(24,32,28)*s(32,32,12)-+t(40,24,20)+
s(32,24,28)s(40,24,12)-t(24,56,12)+s(16,24,20)t(40,24,20)+*
c(40,32,20)s(32,32,28)*c(40,40,20)+c(24,40,12)-s(32,32,12)-
c(32,32,20)s(32,8,12)s(40,40,20)s(16,16,12)+t(16,16,12)-+*
s(24,16,20)t(32,40,28)+s(24,32,28)s(16,40,12)t(48,16,12)+-*
t(40,32,20)s(48,32,12)s(32,24,20)t(40,24,20)+s(16,16,12)-+*
s(8,24,12)s(48,16,12)s(24,24,20)+c(24,16,12)-+t(32,32,12)-
s(24,48,20)s(40,24,20)s(40,32,20)++s(16,48,12)-s(24,8,12)+
s(32,24,28)s(40,16,20)-t(40,40,20)t(48,40,12)+-s(32,32,28)*
t(40,40,20)s(24,32,20)s(40,24,12)-s(8,32,12)-s(32,40,20)*+
s(8,24,12)s(48,40,12)s(24,48,20)+s(16,40,20)*t(24,32,12)++
s(48,32,20)c(32,32,28)s(40,16,20)t(32,24,12)-*s(48,40,20)--
t(24,40,28)c(48,48,12)c(32,40,12)+t(40,16,12)+s(24,16,20)-*
t(32,48,28)s(32,40,28)s(32,24,20)s(32,40,28)*t(24,48,20)--*
s(8,40,12)s(32,32,28)s(48,32,12)-s(24,40,20)*+s(24,40,20)*
s(32,40,28)s(40,32,20)*s(32,32,28)s(32,24,28)**s(16,16,20)+
c(16,32,12)s(40,40,12)+t(40,40,20)+s(48,40,20)s(40,32,28)**
s(16,40,20)c(48,16,12)+s(16,48,20)c(24,40,20)*c(40,32,20)--
s(32,24,28)t(40,24,20)c(24,24,20)s(32,16,20)t(24,56,12)+*+-
s(24,8,12)s(16,48,20)+c(24,16,12)t(32,32,20)++t(32,40,20)*
s(32,24,28)s(24,40,28)s(24,24,28)+s(16,40,20)c(40,24,20)+*-
s(32,24,28)s(32,8,12)-t(48,40,12)s(40,40,20)s(32,24,28)*+-
s(24,40,28)c(16,24,12)t(16,40,12)t(32,40,12)++*c(40,32,12)-
s(48,40,20)c(32,24,20)t(24,32,28)s(40,40,28)---c(32,16,12)+
s(32,40,28)s(40,8,12)t(24,40,28)s(24,24,28)*+-c(24,24,20)-
s(40,24,28)s(40,24,12)t(16,40,12)c(40,40,12)++-c(48,32,12)-
s(24,48,20)c(24,24,20)c(32,32,20)c(40,40,12)t(32,48,12)+*+*
t(40,48,12)t(48,40,12)+c(24,40,20)s(40,32,20)-c(24,32,20)*+
s(24,16,20)t(40,32,20)+t(40,24,20)s(40,32,12)s(40,16,12)+*-
c(32,24,20)s(16,16,20)-s(40,16,20)+t(40,48,20)+s(32,24,20)*
s(16,40,20)t(24,32,28)s(16,24,20)s(24,40,20)t(24,32,20)*++*
c(24,32,20)c(40,24,12)-c(32,48,12)c(16,40,12)+s(24,16,12)+*
s(16,24,20)s(32,40,28)-c(32,32,20)s(16,40,20)*+s(16,40,20)*
s(40,16,20)s(32,40,28)+s(40,32,28)s(24,48,20)s(16,40,20)+-*
t(48,32,12)s(32,32,20)+c(24,24,20)s(40,32,12)--t(32,24,20)+
t(24,48,28)c(32,24,20)c(40,40,20)s(16,40,20)-+s(40,40,20)--
s(16,16,20)c(24,24,20)c(16,24,12)-s(40,16,20)-s(24,16,20)+*
t(40,24,12)s(16,48,20)s(24,32,28)*+s(40,40,12)+s(40,48,20)-
s(32,24,28)s(48,48,20)s(24,48,20)t(32,40,28)+*t(40,24,20)+*
c(24,40,20)s(32,40,20)*t(24,40,28)c(40,48,12)s(24,24,12)+--
s(40,32,28)s(16,40,12)s(24,48,20)s(16,48,12)-+-t(24,32,20)-
s(8,8,12)s(32,32,20)+s(16,24,12)-s(48,32,20)t(32,24,20)+*
c(40,40,20)t(32,32,28)s(32,48,12)-t(48,32,12)-s(40,32,28)**
c(40,32,20)t(32,24,20)*c(32,16,12)s(16,32,20)+s(40,24,28)*+
s(8,32,12)t(32,32,28)c(32,40,12)-c(32,32,20)++c(16,32,12)-
s(24,40,28)s(48,16,20)c(40,32,20)t(32,16,12)-+s(40,16,20)*+
s(40,24,20)c(48,40,12)c(40,16,12)+*s(40,32,28)t(16,56,12)+*
c(32,32,20)s(32,32,28)t(24,40,28)**s(40,16,20)-t(32,40,28)*
s(40,40,20)s(40,16,20)c(16,48,12)+c(40,40,12)++s(40,48,20)*
s(40,32,28)c(32,24,20)s(40,40,28)c(24,32,20)c(40,32,20)*--*
s(32,40,20)c(24,40,20)c(40,32,12)t(48,32,12)+-c(24,32,20)*-
c(24,24,20)s(32,32,20)s(24,40,20)c(48,32,12)t(24,24,20)++**
c(32,32,20)s(24,40,20)t(32,32,12)-+t(32,40,28)*t(24,48,28)*
s(24,24,28)s(48,32,20)-s(8,24,12)s(48,32,20)+s(40,32,20)+*
s(32,24,12)c(32,32,20)s(24,24,20)s(32,48,20)-+c(24,16,12)-+
c(40,32,20)t(32,32,28)*c(32,40,20)+c(24,48,12)s(48,48,12)+*
s(32,32,28)c(32,32,28)s(8,32,12)t(40,24,12)+s(8,40,12)+*-
t(24,40,28)c(40,40,20)s(32,32,28)+s(40,16,20)*s(24,40,12)+*
s(40,40,12)c(40,32,20)s(48,24,20)s(48,32,20)**+t(32,24,12)-
t(32,32,12)c(40,24,12)s(24,24,12)+s(48,40,20)t(24,48,28)--+
s(40,40,20)s(32,16,20)c(24,40,20)+s(8,24,12)+s(8,40,12)-+
s(24,40,28)c(24,32,20)t(40,48,12)s(16,48,20)c(32,40,20)*+--
s(32,32,28)s(24,40,28)+c(24,24,20)t(24,24,20)s(40,16,12)+--
c(32,24,20)t(24,24,12)-c(16,32,12)+c(16,40,12)-t(32,40,20)-
c(32,32,28)c(24,32,20)c(32,24,12)s(32,40,28)s(40,48,20)*+--
s(32,24,20)c(24,32,20)s(40,48,12)+s(24,32,28)**s(32,40,12)-
s(24,40,20)s(24,40,28)c(32,32,28)*s(40,48,12)-+t(32,48,28)*
s(48,24,20)s(24,48,20)t(32,40,12)-c(32,32,20)-+t(40,48,20)-
s(48,24,12)c(24,24,20)s(40,40,20)c(24,32,12)c(48,16,12)++-+
t(32,48,28)s(40,24,20)-t(24,32,20)+t(24,24,20)s(32,32,20)+*
s(32,40,20)t(48,48,12)s(32,24,20)+s(32,40,20)s(16,32,20)+**
c(32,40,20)s(16,24,20)t(32,48,28)t(40,32,20)-s(24,16,12)+++
s(24,48,20)c(32,32,20)c(24,24,20)*-t(32,40,20)+c(24,24,20)-
s(40,24,28)t(24,40,28)-s(32,24,20)+s(24,32,12)t(40,16,12)+*
s(32,8,12)s(8,32,12)s(48,40,20)++t(32,48,20)-s(32,24,28)*
t(32,32,28)c(24,32,12)s(32,40,20)+s(8,24,12)s(32,48,20)+**
s(40,24,28)c(32,32,28)t(24,48,20)*c(48,16,12)t(24,32,12)++*
c(40,24,12)s(40,32,28)t(32,24,20)*+s(40,40,20)t(24,48,28)--
s(48,8,12)c(48,24,12)+c(40,24,20)s(16,40,12)s(32,32,20)+*+
t(24,48,12)s(40,48,20)+c(40,32,20)c(32,32,20)*-s(16,48,12)-
s(24,32,20)t(24,40,28)s(40,40,12)+s(32,32,28)s(40,24,20)*-+
s(48,48,20)s(40,32,28)+s(32,40,28)*s(40,16,20)s(24,8,12)+-
s(40,40,28)t(32,32,28)*s(32,32,28)c(48,40,12)-+s(32,32,20)-
c(40,48,12)s(32,24,20)c(24,32,20)*s(48,24,20)+s(24,32,20)*+
c(32,32,12)s(24,40,28)s(40,32,20)-s(32,32,20)-+s(40,40,28)*
t(24,48,28)s(48,24,20)s(40,40,20)t(40,48,20)--t(24,32,20)++
s(40,24,28)s(40,24,20)t(32,24,20)+s(40,40,12)-c(16,24,12)+-
s(24,24,28)c(32,16,12)s(40,32,20)+s(48,16,12)-s(32,48,20)-+
s(40,24,20)t(24,16,12)t(48,40,12)t(32,40,20)++s(24,32,12)-+
s(32,48,20)c(32,32,20)s(16,8,12)+t(16,56,12)+t(24,32,28)*+
s(16,24,20)s(32,24,20)c(40,40,20)+s(16,16,12)c(32,16,12)++*
s(24,48,20)s(24,40,20)s(16,24,12)-*s(40,24,12)+t(32,40,20)+
s(40,32,20)s(40,48,20)s(16,16,20)c(32,40,12)+s(32,24,28)*-+
t(24,32,28)s(32,40,28)*t(32,40,28)+t(24,32,20)-s(48,48,20)-
s(40,24,20)c(32,24,20)s(24,32,28)*+s(40,40,28)s(40,40,20)-+
s(24,16,20)t(40,40,20)+c(32,32,12)-t(24,40,28)t(24,40,12)--
t(40,40,20)s(40,32,12)t(40,56,12)+s(32,24,28)s(40,48,20)-++
c(16,16,12)t(24,32,12)c(32,32,28)s(24,48,20)*++t(24,40,28)*
c(40,32,20)c(32,16,12)-s(24,24,28)s(40,40,28)*-s(24,16,12)+
t(24,16,12)s(40,40,20)+t(32,56,12)s(16,24,12)++s(16,32,20)*
s(32,32,20)s(24,24,28)t(32,32,28)s(24,32,28)*s(16,32,20)*--
t(24,48,28)s(40,48,20)c(32,32,28)s(32,40,20)s(48,40,20)*-*-
s(32,32,20)s(48,32,20)s(24,40,20)+*s(48,16,20)+s(8,32,12)+
s(48,48,20)s(32,24,20)s(32,40,20)s(32,16,20)--s(48,40,20)+*
s(40,8,12)s(16,32,20)+s(24,32,28)t(32,32,28)**s(16,24,12)-
c(40,32,20)s(48,32,12)-s(40,40,28)s(40,40,12)-t(48,24,12)-*
s(16,48,20)s(32,40,20)-s(32,32,28)+t(32,40,28)*t(16,48,12)-
s(16,24,20)s(24,32,28)+s(48,40,20)c(16,40,12)+*s(8,48,12)-
s(40,24,20)c(24,24,20)s(32,40,28)s(40,32,28)**-s(40,32,28)*
c(32,32,12)s(16,16,20)s(16,32,20)*s(16,32,12)++c(40,32,20)+
t(24,32,28)t(24,24,20)-s(16,48,12)+t(24,40,12)-s(40,40,12)+
s(24,24,28)t(24,40,28)c(32,32,20)*s(32,32,20)*s(40,24,28)*-
s(40,32,20)c(40,40,20)t(32,40,20)-+t(24,48,28)-s(40,24,20)*
c(24,24,20)s(40,32,20)c(24,40,12)--s(24,32,28)*c(16,48,12)-
t(40,40,12)t(32,40,28)s(24,40,28)t(32,48,28)**+t(24,32,28)*
s(24,32,28)s(16,16,20)-s(32,24,12)-t(32,32,28)*s(24,40,12)+
s(40,40,28)c(40,24,20)s(8,8,12)+*s(24,40,28)+s(32,16,20)-
t(32,48,28)t(40,24,20)-c(40,32,12)-t(40,32,20)s(16,48,12)++
s(40,48,20)s(40,32,12)s(40,48,20)c(16,24,12)++c(32,32,28)**
s(32,48,20)c(32,40,20)s(40,32,28)t(40,32,20)-*s(16,32,12)++
c(24,32,20)s(40,16,12)t(32,32,12)+-s(24,40,12)-t(16,16,12)-
s(32,40,28)s(32,24,28)t(24,32,28)c(24,24,20)s(40,32,28)**-*
s(32,24,20)s(40,32,28)c(32,40,20)t(24,48,28)s(48,32,12)+*-*
s(40,48,20)c(24,24,20)t(16,56,12)+s(24,24,12)-t(16,32,12)--
s(48,40,20)t(40,40,20)*s(8,40,12)+s(48,24,20)+s(40,40,20)+
t(40,16,12)c(24,48,12)+c(16,32,12)t(32,40,20)c(40,32,20)*+-
t(40,48,12)s(16,24,12)+c(32,32,20)t(32,24,12)-+s(40,32,28)*
t(24,40,28)c(24,40,20)s(32,32,28)s(24,32,12)-**t(32,32,12)+
t(32,48,28)t(32,48,20)s(32,24,20)--s(24,24,28)+c(16,32,12)-
t(24,40,28)s(24,40,20)*s(8,8,12)+s(24,48,20)*t(40,56,12)+
s(48,48,20)t(32,32,28)s(24,48,20)+c(32,24,20)-c(40,32,20)+*
s(40,24,28)s(48,24,20)s(48,24,12)-*t(24,48,20)s(16,48,20)*+
c(40,40,20)c(32,32,20)*c(16,24,12)+s(48,24,20)s(40,24,20)*-
s(32,24,28)c(48,32,12)-s(24,32,12)-s(24,16,12)c(24,40,20)+*
c(40,40,20)s(16,40,12)s(40,32,12)++s(40,40,28)*s(24,40,20)-
s(32,40,20)s(8,8,12)+s(40,24,28)*t(24,32,28)c(24,40,20)+*
s(40,48,12)s(8,32,12)+s(48,16,12)t(40,32,20)s(48,32,20)*+-
t(16,32,12)s(40,40,28)t(24,40,28)*+s(16,16,20)s(40,40,20)+*
s(32,48,20)c(32,24,20)-s(32,32,28)s(40,32,20)t(40,24,20)---
s(32,24,28)s(24,24,12)-t(24,40,28)c(32,24,20)s(32,40,28)**+
c(32,40,20)t(24,32,28)c(40,48,12)-s(32,16,12)+t(32,24,12)--
s(40,32,20)c(40,24,12)s(16,32,20)s(16,16,20)++s(24,32,20)*+
s(32,16,20)t(40,24,12)-s(40,24,28)*s(16,40,12)s(16,16,12)++
s(24,32,28)t(32,32,20)s(40,24,20)+c(32,32,28)s(24,48,20)-**
t(32,32,28)t(32,48,20)t(40,40,20)+t(32,32,20)++c(24,32,20)*
s(40,40,20)t(32,32,20)+s(24,24,20)t(16,56,12)++s(48,32,20)*
t(32,32,28)t(24,32,28)*c(40,16,12)t(32,40,28)t(24,40,20)-+-
s(32,48,20)s(48,40,12)-t(24,32,12)s(48,40,12)+t(32,32,28)*-
t(24,32,20)s(24,16,12)c(40,32,20)++t(40,48,20)t(24,32,20)+*
s(16,16,20)s(8,48,12)c(32,32,12)+s(32,16,20)c(32,32,12)+*+
c(32,24,20)t(24,40,28)s(32,16,20)t(32,24,20)+c(16,32,12)+*-
s(24,24,28)s(32,32,20)c(32,32,20)t(32,40,12)-*s(32,16,12)-*
s(32,24,28)s(40,40,12)c(16,32,12)+t(24,48,28)t(32,48,28)*-*
t(24,48,12)s(40,24,20)c(32,32,20)*+c(32,32,28)s(40,16,20)*+
t(32,48,20)s(32,16,20)+s(24,24,20)-s(32,48,20)t(40,48,20)++
s(24,32,20)c(48,32,12)s(24,32,28)t(16,24,12)-++s(32,24,28)*
s(24,32,12)s(32,40,28)s(8,32,12)s(32,48,20)+t(24,40,28)+-+
t(40,24,20)c(24,40,20)+t(32,32,28)t(48,56,12)c(16,32,12)+-*
t(48,48,12)s(16,16,20)s(48,40,20)s(16,40,20)c(32,32,20)*+-+
t(40,24,12)t(24,24,12)+s(24,32,20)s(32,40,12)-+c(32,40,20)*
c(40,32,20)s(32,32,12)-t(24,32,20)s(40,24,20)+c(40,32,20)**
s(40,16,20)t(24,48,20)c(40,24,20)+*t(24,16,12)s(40,32,12)++
t(40,40,20)t(24,32,28)s(48,32,20)--s(40,16,20)-t(24,48,20)+
t(24,24,20)s(24,40,28)t(40,48,12)-*s(48,32,12)+t(32,32,12)-
c(24,32,20)s(32,32,28)s(32,16,20)s(32,32,20)+*c(32,40,20)**
s(32,40,28)c(24,40,12)-s(48,16,20)s(48,24,20)s(48,8,12)-*-
c(24,32,20)t(16,16,12)-s(40,32,28)s(32,24,20)**s(40,40,28)*
s(32,40,28)t(32,32,28)s(48,16,20)s(40,40,28)-+-s(40,24,20)+
s(24,24,28)c(32,24,12)c(40,32,12)+t(32,32,28)s(16,32,20)-*-
c(32,40,20)c(24,32,12)-t(32,48,28)c(40,32,20)t(32,24,20)*-*
s(32,24,28)s(48,24,20)+s(16,24,20)*s(40,40,20)+t(40,48,20)*
s(40,40,28)c(32,24,20)*s(24,32,20)+c(32,32,20)*t(24,40,28)*
c(40,24,20)s(40,16,20)*t(40,32,12)-t(24,32,20)-s(40,24,20)*
t(24,24,20)c(24,40,20)+s(40,24,12)s(8,16,12)++s(24,48,20)*
s(24,32,28)c(24,40,20)s(16,32,12)-*s(40,48,12)-s(40,24,20)+
s(40,48,12)c(40,24,20)t(24,32,12)-c(40,40,20)c(48,24,12)+*+
c(48,16,12)t(24,32,28)+c(24,48,12)c(32,24,12)s(24,32,20)++*
c(32,32,20)c(48,48,12)-s(24,32,28)*s(40,32,20)c(40,24,20)**
s(40,40,20)c(40,40,20)s(16,40,20)s(32,32,20)+-s(40,24,20)+*
c(48,24,12)s(32,32,28)s(32,48,12)s(40,24,28)+*+s(24,40,12)-
t(24,32,28)s(48,32,20)c(32,32,28)*c(16,16,12)+c(40,40,20)--
s(24,24,20)c(48,48,12)s(32,16,12)+c(40,32,20)s(32,24,28)+*+
t(24,40,12)c(48,16,12)+t(40,24,12)-c(40,48,12)+t(32,40,28)*
s(32,16,20)s(32,32,20)*s(16,40,20)+s(48,32,20)-s(32,40,12)-
c(32,40,20)t(24,24,12)-s(40,40,28)*t(16,56,12)s(48,32,20)++
t(32,48,12)s(24,8,12)s(24,24,20)++s(48,48,20)+s(32,24,28)*
s(40,16,20)s(24,40,12)s(40,48,20)++c(24,40,20)t(40,40,12)--
c(32,40,20)s(48,40,20)t(24,40,28)-c(24,40,12)+s(48,40,20)*-
t(32,24,12)s(32,16,20)c(24,32,12)-+c(16,16,12)+s(48,24,20)-
c(32,24,20)t(40,16,12)t(32,32,12)+-c(32,16,12)-c(40,24,20)+
s(40,16,20)c(32,48,12)+s(48,24,20)s(40,24,20)s(32,48,20)-**
c(24,24,20)t(24,40,28)s(24,8,12)+*s(40,32,12)+c(32,40,20)*
s(16,16,20)s(48,32,20)s(32,40,28)t(32,32,28)-t(24,24,20)+++
s(40,24,20)c(24,24,20)s(16,24,12)-c(32,48,12)t(16,32,12)++*
s(24,24,28)s(32,40,20)*s(40,32,20)s(32,24,20)s(16,16,20)+*+
c(32,32,28)t(32,48,28)s(48,8,12)+-s(32,40,28)t(24,40,28)--
s(16,24,20)s(32,32,28)s(40,32,20)t(32,40,28)*-c(24,40,20)+*
s(32,32,12)c(32,32,20)s(40,40,12)-t(48,24,12)-t(24,24,12)-+
t(24,32,12)s(8,24,12)+c(32,24,12)+c(16,48,12)+c(40,32,20)*
s(24,24,28)t(24,24,12)-s(24,8,12)c(32,40,20)+t(32,24,12)-*
t(24,16,12)t(24,32,12)s(40,32,12)++t(40,24,20)+c(32,40,20)*
s(40,48,20)s(48,8,12)t(32,40,28)s(40,48,12)-s(24,24,12)-+-
s(24,24,12)s(32,48,20)+c(24,32,20)c(24,24,12)--s(32,40,20)-
s(16,48,20)s(40,48,20)t(16,16,12)+t(32,48,28)*+t(32,32,28)+
c(48,48,12)s(40,40,28)s(32,32,20)*+c(24,24,12)s(24,8,12)++
c(32,24,20)c(24,32,20)*s(16,32,20)+t(32,32,28)*c(40,32,20)*
s(40,40,28)s(48,40,20)-c(24,32,20)c(32,24,20)*+s(40,24,28)*
s(40,24,28)c(32,40,20)t(40,56,12)--s(32,24,20)s(32,8,12)+-
c(24,48,12)s(32,16,20)s(40,8,12)-+c(32,32,28)s(48,32,20)*-
s(32,24,28)s(24,24,20)s(24,32,28)t(40,40,12)-t(24,40,20)-**
t(32,32,28)c(24,24,20)c(32,24,20)s(48,24,20)--c(16,32,12)--
t(24,32,20)c(32,32,20)s(48,32,12)-s(40,8,12)+s(24,24,28)**
s(24,32,28)s(40,32,12)t(40,40,20)++s(40,40,28)c(40,24,20)**
s(32,16,12)t(24,48,12)+t(32,48,20)s(40,40,12)-s(32,16,20)+*
s(24,48,20)t(32,32,20)s(32,48,12)--s(48,24,20)+s(48,16,20)*
t(32,48,28)s(24,32,28)c(40,32,20)t(24,48,20)-+s(32,16,12)-*
s(16,24,20)s(40,40,20)s(40,24,20)s(16,48,20)+*+s(40,32,20)*
t(24,40,28)t(32,48,12)t(24,32,28)+s(24,24,28)*s(40,32,28)*-
t(32,24,12)s(32,16,20)s(24,24,28)s(24,32,20)s(16,16,12)-*-+
c(32,40,20)s(24,32,28)t(40,32,20)+*s(40,40,20)*s(48,32,20)+
c(24,16,12)t(16,32,12)+t(24,40,20)t(32,48,20)+s(48,24,12)+-
c(16,32,12)t(32,40,28)s(24,48,20)++t(40,40,20)-s(24,24,20)+
s(48,40,20)s(40,40,28)s(48,24,12)-s(48,48,12)-s(32,40,28)*-
t(24,40,28)s(48,32,20)t(32,32,28)*+c(24,40,12)-t(40,40,20)+
c(48,24,12)t(16,16,12)+s(32,32,28)s(32,40,20)t(32,48,28)+*-
s(48,32,20)s(8,24,12)t(32,32,20)+s(48,24,20)+s(32,48,20)-+
s(48,32,20)t(32,48,28)s(40,48,20)*c(40,32,12)-s(16,32,20)-+
c(32,32,20)c(24,32,20)s(16,40,12)-s(32,40,12)-s(32,40,28)*-
s(40,32,28)s(32,24,28)s(24,32,20)c(24,48,12)-*-c(40,24,20)+
c(24,32,20)s(48,24,12)s(16,40,12)+t(32,32,28)+*s(24,24,28)*
s(32,32,28)s(40,16,12)s(40,40,12)+c(24,16,12)+*c(32,48,12)-
t(32,32,12)t(32,40,12)s(32,40,28)t(32,32,28)-+c(32,32,20)-+
s(40,40,28)s(40,24,12)-s(48,24,12)t(32,32,28)+*c(24,32,20)*
c(48,16,12)s(40,24,20)+c(40,24,12)-s(48,32,20)c(48,24,12)--
t(24,48,12)s(32,16,20)c(24,24,20)c(32,40,20)t(40,56,12)-*-+
t(32,32,28)s(24,48,20)-s(40,32,20)*c(48,48,12)+s(16,24,20)+
s(32,32,20)c(32,24,20)t(32,40,12)-t(24,48,28)+*s(40,16,12)-
s(24,40,28)s(40,40,20)s(48,48,12)s(16,40,20)+*-s(32,24,28)-
s(32,32,28)t(40,40,20)s(32,16,12)c(24,16,12)+t(32,32,20)-++
t(24,40,28)s(48,48,20)-t(24,24,20)c(24,40,12)-+s(24,32,28)*
s(24,24,12)t(32,48,28)c(24,32,20)*+s(48,24,20)s(48,32,20)*-
s(32,40,20)s(40,48,20)*c(48,32,12)t(24,16,12)+s(48,32,20)++
c(24,40,20)t(48,24,12)+s(24,24,28)*s(32,24,28)*s(40,24,28)+
s(16,16,20)s(40,32,20)s(24,24,28)+t(32,48,20)-*c(32,16,12)-
t(48,56,12)s(32,16,12)+s(24,24,28)c(48,48,12)+s(16,8,12)-*
t(24,40,20)s(40,48,20)c(40,48,12)--t(32,48,28)+s(32,24,12)-
s(32,24,20)s(40,16,20)*s(48,48,12)+c(32,24,20)*s(32,48,20)+
s(40,48,12)s(16,8,12)+s(32,16,20)s(24,32,12)+s(24,16,20)*-
s(32,24,20)c(32,32,20)c(16,32,12)c(16,40,12)+-t(32,32,28)**
t(40,16,12)s(32,40,20)c(16,16,12)c(40,48,12)+s(48,16,20)+-+
t(16,16,12)c(32,48,12)t(24,32,20)s(24,40,20)*++t(32,32,28)-
s(32,32,28)s(32,48,12)t(24,32,28)+c(16,48,12)-s(16,32,20)**
s(24,32,20)c(40,40,20)-s(48,40,12)s(24,32,28)+s(40,16,20)-*
c(24,48,12)t(40,40,20)t(32,32,12)-+s(24,32,20)c(32,16,12)-+
t(16,48,12)t(24,40,20)s(32,32,20)c(24,48,12)s(48,32,20)++*+
c(40,40,20)s(16,48,12)s(32,24,20)s(24,16,20)*+-t(16,48,12)+
c(24,32,12)c(24,24,20)s(24,16,20)*+s(24,48,20)s(16,16,20)+*
c(32,40,12)c(16,16,12)s(8,8,12)++s(32,24,12)+s(32,24,20)+
s(40,32,20)s(24,16,20)c(24,32,12)+s(32,40,28)*+s(40,32,28)*
s(48,40,20)t(24,24,20)t(32,40,28)s(24,24,20)+t(24,40,28)-+-
s(24,32,28)t(40,48,20)-t(32,48,20)-s(40,24,28)-t(24,40,20)-
c(24,40,20)c(32,32,12)-c(24,24,20)s(24,32,28)t(24,32,20)---
s(40,24,28)s(40,16,20)t(24,32,28)--c(32,32,20)s(48,24,20)*-
s(24,48,20)t(24,40,12)-s(40,24,28)t(40,24,12)-+s(24,32,28)+
s(32,24,28)s(24,40,28)c(24,32,20)*-c(24,24,20)s(40,24,28)*-
t(48,32,12)s(48,8,12)+t(32,40,28)s(24,16,20)-+s(48,48,20)-
t(40,24,12)t(32,48,28)+c(40,16,12)-s(40,16,20)t(24,40,28)+*
c(24,40,20)t(32,40,28)s(32,24,12)-s(24,48,20)c(40,40,12)+*-
s(24,24,28)t(24,48,28)s(40,40,28)s(24,32,20)t(24,40,28)*++*
t(24,48,20)s(40,32,20)-s(24,24,12)t(32,16,12)++c(16,48,12)-
t(32,32,28)s(40,16,20)c(40,32,20)s(32,40,20)--s(24,16,20)++
t(24,32,20)c(32,24,12)t(32,32,20)s(24,48,20)++c(24,32,20)**
c(32,24,20)c(32,32,28)c(48,24,12)-t(32,40,12)-s(24,24,28)**
t(48,16,12)s(24,32,20)+s(8,24,12)-s(16,16,20)+s(32,24,20)*
t(32,56,12)s(32,32,12)+s(24,48,12)-s(32,48,20)s(24,16,20)+*
s(40,24,28)t(40,40,12)s(24,16,12)+-s(16,32,12)+s(24,16,12)+
t(24,48,20)t(40,24,12)c(32,48,12)++s(32,24,20)c(24,40,20)*-
s(8,48,12)s(24,32,28)t(32,40,28)*c(32,32,20)c(48,16,12)+*+
c(16,24,12)t(32,40,28)+s(8,24,12)-s(40,24,28)*s(40,16,20)+
c(32,40,12)s(16,8,12)+t(24,48,12)-s(24,40,12)-t(24,40,20)-
t(32,48,20)t(32,32,12)+s(24,40,20)*t(48,32,12)+s(48,16,20)+
s(32,40,28)t(24,48,20)c(32,24,12)+*t(32,32,20)-s(40,40,20)+
c(16,16,12)t(48,32,12)+s(8,16,12)-c(40,24,20)s(24,40,20)-+
s(32,48,20)s(40,16,12)+s(24,48,20)s(16,40,20)*+s(32,24,20)-
s(8,40,12)c(40,40,20)+s(40,24,28)s(40,40,28)t(24,48,12)-**
s(48,16,20)s(48,40,20)-c(32,32,20)+t(48,32,12)s(24,16,20)+-
s(32,32,20)c(16,48,12)+s(16,16,12)+c(24,32,20)s(24,40,20)*-
c(32,24,12)t(24,40,20)+s(24,32,28)t(32,40,28)t(24,24,20)-**
s(32,32,28)s(16,16,20)-s(40,48,20)s(24,32,20)--t(24,48,12)+
s(16,48,12)s(40,40,28)s(24,32,28)s(16,16,12)c(16,32,12)+-*+
c(40,32,20)s(24,40,20)c(32,40,20)t(24,32,28)*t(32,48,12)+**
c(40,32,20)t(32,40,28)s(24,48,12)s(40,40,20)+*c(24,24,12)-*
s(24,48,20)c(40,40,20)c(24,32,20)*t(24,40,28)+*t(32,56,12)-
c(24,40,20)s(32,24,28)*s(40,24,20)s(40,40,28)*t(24,24,20)+*
c(32,40,20)t(16,48,12)-s(24,40,20)+c(16,16,12)+s(16,24,12)-
s(48,40,20)c(24,32,12)+t(24,32,12)-s(40,48,20)*t(32,40,28)*
s(32,40,28)t(48,40,12)c(32,24,20)+s(32,48,12)c(48,32,12)+*-
t(32,40,28)c(32,32,28)s(24,32,20)-s(32,48,20)*-t(40,32,20)+
t(24,48,28)s(16,16,20)+s(24,32,28)s(32,24,20)t(24,40,20)+**
c(40,24,12)s(40,32,20)c(48,24,12)+t(48,32,12)-+c(24,32,20)+
s(48,32,20)s(40,40,28)c(32,40,20)c(24,24,20)s(32,32,28)+***
t(40,40,20)s(16,8,12)+s(24,32,28)s(16,32,12)-s(48,24,20)-+
s(40,24,20)s(24,24,28)s(40,40,20)t(32,48,12)--s(48,16,20)-+
s(32,24,28)t(32,32,20)s(40,48,12)+*t(32,40,28)t(32,48,20)-*
s(24,32,28)c(24,48,12)-s(16,24,20)c(24,24,20)*s(8,24,12)--
s(24,40,28)s(40,24,20)c(48,40,12)+-t(40,24,20)s(16,16,20)+-
c(24,24,20)s(24,24,28)s(24,32,28)c(24,32,20)s(24,40,20)----
s(48,16,12)c(48,32,12)s(16,48,20)t(24,48,12)-++s(24,40,28)*
t(32,40,28)t(40,48,20)c(48,40,12)t(32,32,20)c(48,48,12)+++*
t(32,48,20)t(24,40,28)t(32,32,28)*+s(32,32,20)c(24,24,20)**
t(32,48,20)t(24,24,12)s(40,48,20)++t(16,24,12)t(32,56,12)+-
c(40,48,12)s(8,32,12)+c(24,24,20)t(24,32,28)*t(24,40,28)++
c(40,24,20)s(40,48,12)c(40,32,12)+-s(16,16,12)+s(24,24,20)*
s(8,8,12)s(16,32,20)c(24,24,20)*+s(40,32,28)s(24,32,20)++
t(32,32,20)s(40,32,20)*c(16,40,12)s(40,40,20)+t(40,48,20)*+
t(24,40,28)s(24,40,28)t(16,40,12)-t(32,16,12)+s(32,32,12)-*
s(40,32,20)t(24,32,28)t(32,40,28)*s(24,40,12)t(32,48,20)++*
s(16,32,12)s(48,24,20)+c(32,32,20)s(24,40,20)-t(32,24,20)++
s(24,24,28)c(40,32,20)*s(32,32,28)s(32,8,12)c(24,16,12)+-*
c(24,40,20)c(32,32,20)*t(32,40,28)s(16,40,12)-*s(40,24,20)+
s(40,48,20)s(40,32,20)s(32,32,28)c(24,24,20)*-+s(32,48,20)*
c(24,32,20)c(40,32,20)s(32,24,28)*s(24,24,28)+s(32,24,20)-*
s(24,24,28)t(24,32,28)c(48,32,12)+t(24,40,28)t(24,32,28)*--
s(24,24,28)c(40,40,20)-t(32,48,20)c(40,24,20)+-c(24,32,12)+
s(32,32,28)t(40,24,20)-c(16,48,12)-s(24,24,12)-s(40,32,28)*
t(16,32,12)s(40,40,28)t(32,56,12)s(32,32,20)+*+c(32,24,20)*
s(40,32,28)s(48,24,20)s(32,16,12)-*s(48,40,20)+t(24,48,12)+
s(40,32,28)s(48,16,20)t(24,32,28)c(40,40,20)t(32,24,20)+-+*
t(24,16,12)c(32,40,20)s(32,16,20)-t(40,24,12)++c(24,40,20)*
t(24,32,28)t(24,40,20)s(40,16,20)+*s(24,24,20)s(32,32,12)--
s(24,40,28)s(40,16,12)c(24,16,12)+t(24,40,28)c(16,40,12)-+*
s(32,40,20)c(16,32,12)-s(32,32,28)s(24,40,12)-c(32,32,20)**
t(24,40,12)s(48,16,20)s(48,40,20)t(48,40,12)-+s(32,40,28)*+
s(24,16,20)s(16,32,20)+t(32,56,12)t(16,48,12)+c(32,16,12)+*
c(48,48,12)t(16,56,12)+t(32,40,28)+t(40,48,20)s(16,24,20)+-
s(32,16,20)s(40,24,20)s(32,40,28)s(16,48,20)s(8,48,12)-*+*
t(32,48,20)s(24,24,20)s(32,40,12)-s(48,48,20)+t(40,48,12)-+
t(32,40,28)s(48,32,20)s(16,16,20)+c(40,32,20)c(24,24,12)--+
s(40,40,20)t(40,24,20)c(32,48,12)+t(24,48,28)s(24,40,20)-+*
s(24,24,28)s(16,40,12)-s(24,24,20)c(32,40,12)+*s(40,40,28)*
t(16,32,12)s(40,24,28)s(24,24,12)c(24,40,20)s(16,16,20)-+-+
c(24,40,20)s(48,48,20)s(24,24,12)+t(32,48,28)-c(40,32,12)-+
s(40,32,28)s(16,32,20)c(32,32,20)*s(32,32,20)*c(24,16,12)+*
c(40,24,12)t(32,48,28)s(24,32,28)s(40,16,20)t(24,24,20)---+
s(24,32,20)t(40,32,20)s(24,24,28)t(16,56,12)+s(16,48,12)-+*
c(32,32,28)s(32,24,28)s(16,32,20)*-s(16,40,20)s(40,24,12)+-
s(40,40,28)c(32,32,20)t(16,40,12)c(24,32,20)c(40,24,20)*+**
c(32,24,12)s(24,48,20)s(32,40,28)c(48,16,12)+*t(24,40,12)-+
s(32,32,28)s(8,8,12)t(16,16,12)s(16,48,12)++c(16,40,12)+-
s(24,40,20)s(24,32,28)t(24,24,12)-*t(16,40,12)s(40,32,28)+*
s(32,24,20)s(32,32,20)c(24,32,20)*c(24,16,12)+*s(40,16,12)+
s(24,40,28)c(32,40,20)*t(40,48,20)+t(24,56,12)-c(48,40,12)-
s(24,32,12)c(16,16,12)s(8,48,12)c(24,40,20)c(32,32,20)-+++
s(40,24,20)s(40,40,28)s(40,24,20)t(24,48,20)+**s(40,16,12)-
c(32,32,12)t(32,32,28)c(24,32,20)t(24,40,12)-*+s(24,24,20)*
c(24,40,20)s(32,40,28)t(40,32,20)-s(16,40,12)-s(16,48,12)--
c(32,32,20)s(24,48,12)-t(24,32,28)c(40,40,12)c(48,48,12)+-*
s(32,32,20)s(16,16,20)+c(40,40,20)s(32,48,20)+*t(48,32,12)-
t(32,40,28)s(24,32,28)*c(40,40,20)c(40,32,20)**s(24,24,28)*
c(32,32,12)c(32,40,20)s(32,32,28)*s(24,24,28)s(16,8,12)--+
t(32,32,28)c(16,24,12)c(40,40,20)+s(32,40,28)+*s(32,24,20)*
s(16,40,20)s(24,24,12)-c(32,24,12)s(40,48,12)+s(24,40,20)+*
s(32,24,20)s(24,40,28)+c(40,32,12)s(8,16,12)+s(48,24,20)-+
t(32,32,28)c(40,32,20)*s(48,24,12)s(32,24,20)+*s(32,40,28)*
c(32,32,20)s(48,24,12)-s(24,32,20)s(8,32,12)-*t(24,48,20)-
s(32,40,28)s(24,48,20)+t(32,32,28)s(40,24,20)*-t(32,32,12)+
s(40,24,28)c(24,24,20)*c(40,32,20)c(40,24,20)*c(24,40,12)--
s(32,16,20)s(24,24,28)t(24,32,28)t(24,40,28)s(40,40,12)-*-*
s(24,32,28)s(16,16,12)s(48,32,20)++s(24,24,28)s(32,24,12)-*
c(32,32,20)s(40,32,28)*s(16,40,20)s(32,24,28)-+s(32,24,28)-
s(40,24,28)s(32,24,20)t(32,32,28)*t(32,48,20)+c(48,16,12)+*
c(40,32,20)s(40,32,20)s(24,32,20)+*c(32,32,28)s(48,16,12)-*
s(24,24,20)c(24,32,20)s(32,32,28)*c(40,24,20)*s(32,24,20)**
s(24,24,20)s(24,16,20)c(16,24,12)-+t(24,32,28)s(32,16,20)--
t(24,24,20)c(32,32,28)s(40,40,28)s(24,24,28)t(32,40,20)---*
s(8,16,12)s(32,32,28)+t(32,40,28)s(24,32,28)*t(40,32,20)--
s(32,40,28)s(40,48,12)-t(32,48,28)t(32,24,20)+t(24,32,28)**
s(40,16,20)s(40,32,20)s(32,40,28)s(24,24,28)**-s(24,16,12)-
c(40,40,20)t(32,48,20)*s(24,32,12)s(8,40,12)+s(8,32,12)--
s(40,48,20)t(24,24,20)+c(40,40,12)-c(24,32,20)*t(40,16,12)+
t(32,24,20)s(48,48,12)s(32,16,12)++c(32,16,12)c(32,32,20)++
c(24,32,12)c(24,32,20)t(32,32,20)-s(32,48,12)s(40,32,12)+-+
c(16,40,12)s(24,24,28)t(32,32,12)-c(24,40,20)*+t(32,32,20)-
s(16,32,20)c(32,32,20)s(40,24,28)c(40,16,12)-*s(24,24,12)++
c(32,40,20)c(40,48,12)-s(48,16,20)-s(24,40,12)-t(24,32,28)+
s(24,32,28)s(32,40,20)s(16,40,20)+*s(24,24,20)-s(24,32,20)-
s(40,48,20)c(24,32,20)t(40,32,20)-t(32,56,12)+t(24,40,20)--
s(32,40,28)s(32,24,20)s(48,40,20)+*s(48,32,20)*s(24,16,20)-
s(24,32,28)t(24,32,20)-t(32,40,28)+s(16,24,20)+s(24,48,20)*
s(16,16,20)s(40,24,28)+s(8,8,12)s(24,32,28)+*t(32,32,20)*
s(32,40,28)s(48,48,12)-c(32,40,20)t(24,48,28)+s(24,32,28)*-
c(24,24,20)s(40,16,12)-c(40,32,12)t(32,48,20)s(32,16,12)++-
t(32,48,28)s(32,40,20)+t(48,24,12)s(32,24,20)t(24,32,20)++*
c(24,32,20)c(32,32,20)s(40,32,28)*+s(40,32,12)-s(32,24,20)*
s(32,40,28)s(32,16,20)-t(32,48,28)t(40,24,12)+*t(40,40,20)-
t(32,48,12)c(32,40,20)t(32,32,28)*t(24,32,20)c(48,24,12)+*+
t(24,48,20)s(16,24,12)c(32,40,20)c(24,40,20)*s(24,16,20)-+*
s(32,16,20)t(32,32,28)t(24,24,20)+*c(32,16,12)c(24,24,12)++
c(40,32,20)c(32,24,20)*s(40,16,20)t(32,32,28)-c(32,16,12)++
c(40,24,12)s(24,40,20)t(24,40,28)s(24,24,28)--+t(32,40,12)-
c(40,48,12)s(32,40,20)c(40,40,20)s(24,40,28)t(32,32,20)*--+
c(32,24,20)c(32,40,20)*c(40,40,12)t(32,32,28)s(32,48,20)*++
c(40,32,20)s(32,16,20)s(16,16,12)s(32,24,20)+s(40,24,28)**-
t(24,40,28)s(16,48,20)s(32,24,28)c(40,40,20)s(32,40,20)**-+
c(24,32,12)s(48,40,20)+c(48,16,12)+s(32,16,20)c(32,24,20)+*
s(32,24,20)c(40,40,20)c(40,48,12)t(32,24,20)+*+t(32,32,28)*
s(24,48,20)t(32,32,28)s(32,16,12)s(24,40,20)c(40,32,20)*+*-
t(24,32,20)s(24,24,20)s(24,16,20)t(40,32,12)t(24,32,12)+-*-
s(48,24,20)c(24,40,20)c(40,32,20)s(32,40,28)+*-s(40,24,28)*
c(32,32,20)s(40,40,28)c(24,40,20)c(32,24,12)+**s(32,40,20)*
s(48,32,20)s(16,24,12)+s(16,48,12)+t(40,24,20)-s(40,32,12)+
t(24,40,20)s(40,40,20)+t(24,40,20)s(24,48,20)*-s(24,24,12)-
c(24,40,20)c(24,24,20)t(24,40,28)t(24,32,20)-+*s(8,48,12)-
c(32,24,20)t(40,40,20)s(32,16,12)+s(40,40,28)t(48,24,12)-*+
s(32,40,28)c(40,40,20)s(40,24,28)*s(8,48,12)+c(32,40,12)-*
t(32,32,28)s(40,24,28)*s(16,16,20)t(16,40,12)+-s(32,24,20)*
c(24,16,12)c(40,24,20)s(32,32,20)*c(48,24,12)-+c(48,24,12)+
c(40,40,20)s(40,40,20)c(40,24,12)+t(24,40,28)*c(24,32,12)+*
s(24,16,20)s(16,40,20)s(24,24,28)*-s(48,16,20)s(48,32,12)-+
c(32,40,20)t(32,32,12)-t(32,48,20)s(24,32,20)+c(24,32,20)*-
s(32,32,28)s(24,32,28)*s(48,48,20)+s(32,16,12)s(40,40,28)+*
s(16,32,20)c(40,24,12)s(40,40,28)t(32,32,28)*++s(40,40,12)-
s(24,24,28)t(40,48,20)s(32,16,20)+t(40,48,20)-c(32,40,20)-*
t(24,32,12)s(40,24,28)t(32,32,20)s(40,40,12)+*+s(16,8,12)+
s(24,24,20)t(32,48,12)+s(32,40,28)*s(48,40,20)t(32,40,28)+*
s(24,16,12)s(32,32,20)+s(24,40,12)s(48,48,20)+t(32,40,28)**
t(32,32,28)s(40,32,20)+t(40,32,12)-s(48,16,12)s(48,40,12)+-
s(8,16,12)c(24,40,20)+s(16,40,20)t(40,48,20)s(48,48,20)*+-
s(40,40,20)c(24,40,20)t(24,32,28)s(16,24,20)-s(8,40,12)---
c(48,16,12)s(32,32,20)s(40,24,28)*t(24,40,28)+t(32,40,28)*+
s(40,32,12)t(24,24,12)+s(16,48,20)+t(24,32,28)-c(40,16,12)+
c(16,32,12)c(48,24,12)c(48,40,12)+s(8,16,12)+c(32,40,20)-+
c(24,24,20)s(24,32,28)t(24,16,12)-s(24,40,12)-*c(16,40,12)+
t(32,16,12)s(32,48,20)+c(32,32,12)s(24,48,20)+t(24,56,12)-*
s(24,40,28)t(32,40,28)t(40,56,12)+*s(24,32,28)*s(32,32,20)+
s(16,32,20)s(32,32,20)t(32,48,28)c(24,32,20)-+s(8,8,12)+-
t(32,40,28)t(24,48,12)-t(32,48,12)-s(24,24,28)s(40,24,28)-+
t(32,40,28)t(24,32,28)t(48,56,12)s(8,24,12)++s(32,48,20)**
t(32,48,28)c(32,32,28)t(24,40,20)c(32,32,20)*-*s(48,40,12)-
s(24,48,20)s(40,40,28)t(24,24,20)-*c(32,24,12)+s(40,48,20)-
t(40,24,20)c(40,16,12)s(24,32,28)+*t(48,40,12)+s(32,24,28)*
s(32,24,28)s(24,32,20)s(48,32,20)t(32,32,28)c(16,24,12)-*--
s(40,8,12)s(48,40,20)+s(48,24,20)-t(24,40,28)+s(32,32,20)*
s(32,48,20)c(40,24,12)+s(8,40,12)t(32,32,28)+t(24,48,12)+*
c(24,40,20)t(24,24,12)-s(16,48,12)t(32,56,12)+s(24,24,28)-+
t(40,48,20)s(16,40,20)c(32,24,20)s(40,40,20)*++s(40,24,28)*
s(32,40,20)s(40,40,28)s(48,24,12)s(32,16,20)+-s(32,40,28)**
c(40,16,12)s(32,40,28)+s(16,48,20)*t(16,48,12)s(48,32,20)++
s(8,32,12)s(16,40,12)+s(24,32,12)t(16,16,12)+-s(24,24,28)+
t(48,40,12)t(48,24,12)+s(48,48,20)+c(40,32,20)+s(24,32,12)-
t(24,32,28)c(40,40,12)t(32,32,20)+c(32,24,12)+*s(16,40,12)-
s(40,40,20)c(24,40,20)c(48,16,12)s(8,48,12)+s(16,24,20)+-*
t(16,56,12)s(24,24,28)s(8,8,12)-s(16,40,20)s(16,32,20)+*+
t(24,40,12)s(32,16,20)s(24,16,20)s(48,40,20)t(16,16,12)++++
s(16,48,20)s(32,24,20)+t(48,48,12)+s(16,40,20)-t(32,24,20)-
t(32,40,20)s(48,16,12)s(32,40,20)+t(32,32,28)t(24,40,20)*-+
c(32,40,20)s(48,24,20)-s(24,32,20)*s(32,48,20)t(24,48,20)++
s(40,48,20)s(32,32,12)-t(24,40,20)-c(32,48,12)c(16,48,12)+-
t(16,16,12)s(40,40,20)+t(32,40,28)t(16,32,12)+s(48,40,12)+*
s(40,40,28)t(32,40,28)s(8,48,12)c(32,32,20)++s(48,24,20)*-
c(24,40,20)t(32,24,20)s(32,24,28)s(24,32,28)*s(40,16,12)-+-
t(24,32,28)t(16,40,12)-s(8,24,12)+s(8,16,12)t(24,24,12)++
c(24,24,20)s(24,32,28)c(24,24,12)s(40,48,12)+--c(48,48,12)+
t(32,48,28)s(40,32,12)+c(40,24,20)-s(48,8,12)+s(24,48,20)-
s(40,40,28)s(32,48,12)c(24,32,20)+c(48,32,12)+s(16,48,20)*-
c(32,32,12)t(48,24,12)+t(40,24,20)+s(32,32,20)t(24,32,28)+*
s(48,40,20)s(40,32,20)s(32,48,20)t(32,40,28)c(24,32,12)-*--
c(24,24,20)t(24,32,28)c(40,40,20)t(32,40,20)t(16,40,12)++--
s(24,24,28)s(16,32,20)*s(40,16,20)s(32,24,20)s(16,24,12)-*-
t(24,32,28)c(16,24,12)-s(32,24,28)*t(24,32,28)s(24,48,12)-*
c(40,24,12)s(32,24,28)s(32,48,12)t(40,48,20)+-s(24,32,28)*+
s(8,32,12)t(32,48,28)+c(24,40,12)-s(32,40,28)s(24,32,12)-*
c(32,40,20)c(40,40,20)*t(24,56,12)+t(16,48,12)s(32,48,20)++
s(16,32,20)t(32,32,20)c(24,48,12)--t(16,32,12)t(24,48,28)++
s(32,32,12)s(48,40,20)s(32,40,12)s(48,32,12)+c(24,40,12)+-+
t(24,32,28)s(48,32,20)c(32,40,20)s(32,24,20)*--s(40,32,28)+
s(32,16,20)s(40,32,28)s(24,32,20)*+s(32,32,20)c(16,32,12)-*
s(32,24,28)c(24,24,12)t(32,48,28)+s(16,24,20)s(32,24,12)-+*
t(40,40,12)c(24,16,12)s(24,32,20)++c(16,16,12)s(40,24,28)+*
t(24,48,28)t(24,40,28)*s(24,24,12)t(24,48,20)+s(24,48,20)**
t(24,32,20)s(40,32,20)s(32,24,28)s(40,24,28)**t(32,40,28)*+
s(16,32,12)s(16,48,20)s(40,24,28)-+s(32,40,20)-t(16,40,12)-
s(24,16,20)c(24,32,20)s(48,16,20)+t(32,48,20)s(24,40,20)+*-
s(24,32,28)t(24,40,20)s(16,16,12)+c(32,40,20)*t(48,48,12)+*
t(24,24,20)s(16,48,12)c(32,40,12)+c(48,48,12)c(32,40,12)+*-
t(24,40,28)c(32,24,20)s(32,16,20)s(32,24,20)c(32,32,12)-*--
s(32,48,20)c(32,32,28)s(32,24,12)-t(40,32,20)t(24,48,28)+**
c(40,24,20)c(40,40,20)s(16,32,20)s(32,24,28)*-c(32,24,12)+-
s(40,32,28)c(24,40,20)*c(24,40,12)s(32,32,20)t(32,48,28)*+*
s(16,24,12)t(48,16,12)s(16,48,12)++s(16,32,20)t(32,32,12)+*
s(40,40,28)t(24,48,20)s(24,40,28)t(40,48,12)-s(32,24,20)*--
s(40,40,28)s(24,48,12)t(48,16,12)s(48,40,20)+s(48,32,20)*+*
s(48,32,12)s(48,8,12)c(24,40,20)+t(32,48,28)*t(32,48,20)++
s(32,24,28)s(32,48,20)c(40,32,20)t(32,16,12)-*-c(32,16,12)-
s(32,32,20)c(40,40,20)c(40,24,12)-t(40,24,20)t(24,24,12)++*
s(40,48,20)t(48,32,12)s(16,24,20)+c(32,40,12)s(16,32,20)+*+
s(40,32,20)c(40,32,20)c(32,32,12)-c(32,40,20)s(32,24,28)*-+
c(40,32,20)t(16,32,12)+s(32,32,20)t(16,24,12)+*s(24,32,28)*
c(32,32,20)s(32,40,28)t(24,32,28)-+s(24,16,12)c(16,32,12)+*
c(32,40,20)s(16,40,20)+s(32,8,12)t(40,56,12)+s(40,40,20)+*
c(32,24,20)c(32,24,12)c(40,32,12)+-t(40,24,20)+t(32,24,20)*
s(32,40,28)t(24,40,28)s(24,24,28)*s(40,48,20)+*t(32,40,28)*
s(48,40,20)s(48,32,20)s(32,32,20)*-s(32,24,28)+c(24,24,12)-
c(16,16,12)t(24,32,28)c(40,24,20)++s(8,8,12)s(32,16,20)++
t(24,32,28)c(32,48,12)-c(24,48,12)+c(24,40,20)t(16,24,12)-*
s(40,24,20)s(48,40,20)t(16,56,12)+s(24,40,28)-t(48,32,12)-+
s(24,40,28)s(32,40,20)s(48,16,20)s(40,16,20)+--c(24,24,12)+
s(32,40,20)s(40,48,12)-s(32,32,20)+c(32,32,20)t(32,24,20)-*
c(40,24,20)t(40,32,20)s(48,16,12)+c(16,48,12)+c(40,24,20)*-
t(32,48,28)s(32,40,20)s(48,8,12)+t(24,40,28)s(24,32,20)**-
s(32,24,20)c(48,32,12)s(24,24,28)c(32,40,20)-t(40,16,12)-+-
s(40,40,28)t(32,24,20)c(40,32,20)+s(8,32,12)+t(24,32,20)*-
s(32,32,20)s(16,24,20)s(32,16,20)c(32,32,28)*-s(24,40,12)-+
s(32,48,20)s(16,24,20)t(32,32,28)-s(16,32,20)s(40,24,28)-++
s(24,24,28)t(40,24,20)c(40,40,12)-t(32,32,28)+s(48,16,20)--
s(24,32,20)s(16,40,20)s(32,32,28)*t(40,32,20)s(48,48,12)--+
s(32,16,12)s(48,16,12)+t(40,32,20)s(24,16,12)++s(32,48,12)+
t(24,24,20)c(40,40,20)s(32,40,20)c(24,40,20)*-c(48,40,12)++
s(32,40,20)c(24,32,20)s(32,40,28)*t(32,48,20)+c(40,40,12)-*
s(48,48,12)s(16,40,20)c(32,48,12)-s(24,40,20)*+s(24,48,20)-
c(24,24,20)s(32,24,20)*s(32,16,20)*s(24,32,20)s(40,24,20)--
c(24,32,20)t(40,48,20)-s(16,24,20)c(32,16,12)-s(24,24,20)**
t(32,32,20)c(32,24,20)c(24,32,20)*s(32,40,28)*t(24,48,28)+*
s(40,24,28)s(24,24,12)-c(40,40,20)*s(40,32,28)s(32,16,20)-*
s(32,24,28)s(8,40,12)s(40,24,28)t(32,32,12)-+s(40,24,20)--
s(40,40,28)s(32,32,28)c(24,40,20)c(32,24,20)*-t(16,16,12)-*
t(40,32,12)s(32,32,20)t(40,48,20)-+t(24,48,28)c(32,32,20)*-
s(32,16,20)t(32,32,20)t(16,56,12)+t(24,32,20)--s(16,40,20)-
s(40,16,20)s(32,32,20)+c(40,32,20)s(40,40,28)**s(40,48,12)-
s(32,32,20)s(16,40,20)t(24,24,20)s(24,48,12)+s(24,24,12)---
s(48,32,20)t(48,16,12)+s(32,32,20)*c(24,48,12)c(48,40,12)++
s(24,40,28)s(40,48,20)t(32,48,28)s(48,32,20)-*s(40,24,28)+*
t(32,32,28)c(40,32,20)*c(32,24,20)c(16,32,12)t(32,40,20)+*+
t(48,56,12)c(16,48,12)s(16,40,20)c(32,32,28)*+t(32,32,28)-+
s(48,40,12)s(16,24,20)+t(24,24,12)t(24,32,12)+s(48,40,20)+-
t(24,40,28)s(16,40,20)c(32,24,20)+t(32,40,28)**s(48,32,20)-
t(24,40,28)s(32,24,20)-c(48,40,12)s(32,32,12)++s(32,24,12)-
s(16,48,12)s(32,16,20)s(32,24,20)*s(24,24,12)++t(40,24,20)+
s(8,48,12)s(24,40,20)c(24,32,20)t(24,40,28)**+t(32,40,28)*
s(48,48,12)s(24,48,12)+s(32,40,28)*t(40,40,20)s(32,40,20)+*
t(16,48,12)s(40,48,20)t(32,48,28)*t(48,56,12)-+t(16,40,12)+
s(40,24,28)s(24,32,28)s(16,32,12)-s(40,32,28)*s(8,24,12)++
c(32,24,20)c(40,24,20)t(48,32,12)-s(32,24,28)s(24,16,12)-+*
s(24,40,20)t(24,48,12)t(16,16,12)+-t(24,32,28)*s(32,24,12)-
c(24,32,20)s(32,40,20)s(24,48,20)+*t(24,32,28)+s(40,24,28)*
s(24,40,12)t(40,56,12)+c(32,40,20)c(32,32,28)s(24,40,28)***
s(16,24,20)s(32,32,20)+t(40,24,20)-c(32,32,28)s(48,32,12)-*
s(24,16,20)t(24,32,28)s(40,40,20)c(48,32,12)--c(24,40,20)*-
s(32,48,20)c(40,32,20)s(40,32,28)s(40,40,28)**s(24,48,12)+*
c(40,16,12)t(24,48,28)s(40,32,20)-+t(24,40,28)*c(40,48,12)-
s(32,24,20)s(48,8,12)+c(24,24,20)*s(32,32,20)t(24,32,20)-+
t(40,40,20)c(40,24,12)s(8,48,12)+t(24,48,20)s(16,16,12)+++
c(16,16,12)c(32,24,20)+s(32,24,12)-t(40,24,20)s(32,24,12)+-
s(32,40,28)s(24,8,12)s(24,40,28)+*s(40,24,20)s(32,24,12)-+
t(24,48,28)t(40,24,20)+c(24,40,20)s(40,40,12)-s(24,32,20)**
s(32,48,20)s(16,48,12)-t(32,48,20)*c(40,32,12)t(40,24,20)++
s(8,32,12)s(48,48,12)c(24,40,20)+s(40,40,12)-+t(24,40,20)*
s(16,16,20)s(16,16,12)-t(24,40,28)s(32,40,28)c(48,24,12)-*-
t(24,48,28)c(16,40,12)s(48,24,20)+-s(32,32,20)s(8,16,12)++
s(32,40,28)s(40,24,20)+s(48,16,12)-c(40,40,20)*s(32,48,20)*
t(40,32,20)s(40,32,28)c(24,24,20)s(32,40,28)*-+s(32,32,12)-
s(32,32,20)s(24,8,12)+s(32,40,28)*s(8,8,12)+t(32,32,20)*
c(40,32,20)s(24,48,20)s(24,32,20)t(24,40,28)+t(32,40,28)**-
c(32,32,20)s(16,16,20)c(24,40,12)s(40,8,12)+s(40,16,20)-+*
c(40,32,12)t(32,56,12)s(24,32,28)c(32,24,20)*+s(40,40,28)*+
s(40,32,28)c(24,32,20)c(40,24,20)s(40,40,28)*-+t(40,32,20)-
t(24,40,28)c(24,24,20)s(40,40,20)s(32,48,20)s(40,48,12)---*
t(40,48,20)s(48,16,12)c(40,40,20)t(32,32,12)-+t(40,40,12)-+
t(32,56,12)s(48,16,12)+c(40,32,20)c(40,40,20)*+s(24,40,20)-
c(24,32,20)s(16,40,12)s(32,16,20)+s(48,32,12)t(24,48,12)+--
t(24,32,28)s(16,32,20)*s(32,32,28)c(48,32,12)-+s(40,24,28)-
s(16,32,20)c(32,32,20)s(40,32,28)t(32,32,28)s(40,16,20)--*+
c(24,24,20)s(32,48,20)s(32,16,20)+*c(24,16,12)c(16,48,12)+*
t(24,24,12)s(32,40,28)s(24,32,20)s(40,32,20)--t(32,48,28)*+
t(24,32,20)s(40,32,28)c(40,40,12)t(24,32,28)+*s(32,16,12)-+
t(32,32,28)s(32,16,12)c(32,32,20)s(16,32,20)c(32,32,28)**+-
t(24,48,28)s(32,32,20)s(40,48,20)--t(24,32,28)s(48,8,12)+-
t(32,48,28)c(24,40,20)s(8,48,12)-s(32,32,28)c(40,40,20)***
c(24,32,20)c(32,24,20)s(16,32,20)s(32,32,28)*t(32,48,28)+*-
t(32,40,28)s(40,24,20)c(40,40,20)c(24,40,20)*+s(40,16,12)-*
t(32,32,28)s(48,8,12)+s(8,24,12)s(32,16,20)+*t(32,32,28)*
c(32,24,20)t(24,32,28)-s(40,16,20)*c(40,40,12)+t(40,24,20)-
t(48,24,12)s(24,40,28)s(48,24,20)-+s(32,40,28)*t(16,32,12)-
s(24,16,20)c(24,24,12)-t(24,32,28)t(24,48,28)-+s(40,24,28)*
s(32,48,20)c(16,40,12)t(32,40,12)+t(24,48,12)-s(24,40,20)*-
t(24,48,28)c(40,40,12)-c(32,24,20)s(16,40,20)+s(24,32,28)**
t(24,40,28)c(32,40,20)s(40,40,28)*c(24,24,20)-+c(32,40,12)-
c(24,24,20)t(32,56,12)+s(24,32,28)c(32,40,20)c(40,16,12)+**
s(16,32,20)t(24,40,28)c(24,32,20)*s(24,32,20)*t(32,24,12)-*
t(40,16,12)s(32,40,12)+s(24,24,20)t(32,32,28)*+c(40,40,20)*
t(24,32,28)t(24,32,12)-s(48,48,20)-s(40,40,20)t(24,24,12)+-
c(24,40,20)s(40,8,12)+c(32,32,20)s(16,32,20)*s(24,40,20)+-
s(48,8,12)s(32,32,28)t(24,48,28)*s(40,24,20)s(40,40,28)*++
s(24,48,12)c(24,40,20)t(16,48,12)s(40,24,28)+*+s(40,40,20)+
s(32,32,20)s(40,40,12)t(32,40,28)s(24,48,20)*s(32,48,20)*+*
s(32,24,28)t(24,48,28)c(32,32,28)s(24,48,20)s(40,16,12)+*-+
s(40,40,28)c(32,40,12)-s(24,48,20)s(16,32,20)-s(32,32,20)++
s(32,40,28)c(32,32,28)s(40,24,12)-+t(24,32,20)-c(24,32,20)*
c(40,32,20)c(40,32,12)t(24,32,20)c(32,40,20)s(40,24,12)-*+*
t(32,48,28)s(40,16,12)c(16,48,12)+s(40,48,12)t(32,24,20)++*
s(32,8,12)t(16,56,12)c(32,40,20)s(24,48,20)*++s(40,24,20)-
s(24,32,20)s(24,24,12)t(32,48,12)+-s(32,16,20)+c(32,40,20)-
s(32,48,20)s(24,32,20)-s(40,48,20)t(32,40,28)*+t(48,40,12)-
c(24,32,20)s(32,40,28)s(40,32,28)s(48,24,20)*-t(32,40,12)--
t(24,16,12)t(24,32,20)s(24,32,28)s(24,16,20)-++c(24,40,20)*
t(40,24,20)c(24,32,12)+c(24,24,20)c(48,32,12)+c(32,24,12)-*
c(24,24,20)c(40,24,12)s(48,32,12)++s(40,32,20)s(32,16,20)-*
c(32,24,20)s(8,48,12)+s(16,32,20)-c(40,24,20)*s(40,24,20)*
c(24,24,20)s(40,48,12)s(40,24,28)s(16,32,20)-+s(8,48,12)++
s(32,40,20)s(24,40,20)*s(16,40,12)-t(24,40,28)c(16,40,12)-*
s(24,40,20)t(32,40,28)c(24,32,12)-c(16,24,12)++s(40,40,28)*
s(24,32,28)c(32,24,20)t(32,56,12)s(40,24,28)+*-s(16,32,20)*
s(32,24,20)c(24,24,20)s(24,40,12)t(24,32,20)++*c(40,32,20)*
s(24,16,12)s(24,24,20)s(32,24,28)t(24,24,20)s(24,48,20)+**+
t(40,40,20)s(40,32,20)s(8,48,12)++s(32,32,20)s(16,24,12)-*
s(40,40,28)s(24,24,20)c(40,24,20)c(32,40,20)-s(24,48,12)++-
s(24,40,20)s(16,16,20)c(32,24,20)t(24,32,20)---c(32,24,12)-
s(40,40,28)s(24,32,20)-s(40,40,20)*s(32,40,20)t(32,32,28)*+
s(32,48,20)s(32,24,20)t(40,32,20)+-s(24,40,12)+t(24,32,20)-
s(32,40,28)s(48,32,12)-t(32,48,20)-s(48,40,12)c(24,48,12)+-
s(48,24,20)c(32,16,12)s(48,40,20)+s(8,8,12)c(24,40,20)++*
s(40,32,20)t(40,24,20)c(48,40,12)+s(40,24,20)s(32,32,28)***
t(40,32,20)t(24,40,28)s(40,32,28)s(32,24,12)-t(32,32,28)+*+
s(32,24,28)t(24,32,28)c(32,32,20)*-t(32,16,12)t(32,48,28)+-
s(24,24,28)s(40,8,12)-c(24,32,20)s(40,32,20)c(40,48,12)-*-
c(40,40,20)s(24,32,28)+s(32,32,20)c(40,40,12)--s(32,32,28)+
s(32,24,20)c(32,40,12)+s(40,24,20)s(32,32,12)-t(24,32,20)+*
t(24,48,12)t(40,48,20)t(40,56,12)s(24,32,28)++t(40,32,20)*+
s(24,48,20)s(24,32,28)s(40,32,20)*s(16,40,20)+t(24,48,28)**
s(40,24,28)s(24,24,28)c(40,16,12)-s(16,40,20)s(40,40,28)---
s(48,16,12)s(32,32,28)c(40,40,12)s(32,16,20)c(32,24,20)*+-+
s(48,40,20)t(32,32,12)s(24,24,12)+t(48,40,12)+c(24,40,20)+*
s(40,48,12)s(32,24,28)c(24,24,12)-t(24,16,12)++c(40,40,20)-
c(24,40,20)s(32,32,28)c(40,24,20)s(48,32,12)--s(24,40,12)--
s(24,40,28)c(40,40,12)-c(24,32,20)s(24,24,20)*+c(32,16,12)+
c(24,24,20)s(16,24,20)s(8,8,12)t(32,32,28)c(40,40,12)-+*-
s(16,24,20)c(24,32,20)s(32,24,28)*s(40,40,28)s(40,24,20)*--
s(24,8,12)c(32,32,20)s(40,40,20)*+t(40,40,12)t(16,16,12)++
t(40,56,12)s(24,48,20)s(40,32,28)c(16,48,12)c(48,24,12)+*-+
s(24,16,20)s(32,24,20)t(32,40,20)+t(24,48,20)c(24,32,12)-+-
s(24,48,20)t(32,32,20)c(40,40,20)*+s(40,40,28)s(48,16,20)-*
s(32,16,20)s(16,24,20)s(24,40,28)+t(24,16,12)c(32,40,20)+*-
c(40,24,20)s(16,24,12)+s(24,24,28)*s(24,40,28)s(8,24,12)--
s(40,32,28)s(24,48,20)t(40,48,20)--c(32,40,12)+s(32,40,20)+
c(32,32,20)t(24,40,28)t(32,40,28)*t(32,48,20)s(16,24,20)+**
s(32,16,20)s(40,32,28)s(32,48,12)-+s(24,24,20)-t(40,40,12)-
s(48,16,20)c(40,24,20)+c(32,32,28)*t(24,32,28)s(8,40,12)-*
c(24,24,20)t(16,32,12)-s(32,8,12)s(16,32,20)t(24,40,12)-++
c(32,40,20)c(40,24,20)c(48,16,12)-s(32,24,28)s(16,24,20)*+*
s(48,32,20)c(40,40,20)t(24,40,28)s(24,24,20)s(16,8,12)--+*
t(48,40,12)s(24,24,20)t(24,48,20)++c(24,16,12)-s(8,40,12)+
s(24,48,20)s(24,32,28)*t(24,48,12)t(16,16,12)s(40,24,12)+++
s(8,48,12)t(24,32,28)+t(40,24,12)+s(32,16,12)-s(40,24,12)+
s(24,24,20)s(40,24,12)s(24,32,28)s(24,24,28)s(40,16,12)-*+*
s(24,32,20)s(32,24,28)*c(32,40,20)t(40,48,12)-t(24,24,20)--
s(48,8,12)s(24,24,20)s(24,32,20)*+c(24,40,12)-t(40,40,12)+
c(24,24,20)s(16,48,20)c(32,32,28)+s(16,32,20)-*t(32,40,12)-
s(48,32,20)t(32,16,12)+t(32,32,28)*s(32,24,20)c(24,24,20)+*
s(32,24,28)s(48,40,20)s(32,32,20)s(32,40,20)*s(48,8,12)+-+
s(40,40,20)t(40,40,12)-c(40,48,12)-t(24,40,20)t(32,40,12)--
t(32,32,28)s(40,32,28)t(24,56,12)+s(48,48,20)-t(24,40,28)*-
c(32,40,20)s(40,24,28)s(32,24,28)c(24,24,20)t(48,16,12)+***
s(48,24,20)t(48,40,12)+t(24,32,28)t(32,32,20)-+c(24,24,20)-
t(16,48,12)c(24,24,20)+c(24,32,20)s(48,24,20)c(32,32,28)*-*
c(40,40,20)t(32,32,28)-t(32,56,12)c(40,16,12)++c(32,16,12)-
s(40,40,28)s(48,32,20)*t(32,32,12)-t(32,24,20)s(32,32,20)*-
s(32,48,20)t(24,40,28)t(32,48,28)*s(48,40,20)t(48,48,12)-+*
c(40,40,20)c(32,32,12)-t(32,48,28)s(32,32,20)s(40,40,20)*-+
s(32,32,20)c(32,32,20)s(48,16,20)s(32,8,12)-s(40,32,28)+**
t(32,40,28)c(32,32,28)t(32,32,28)-s(32,32,20)+*t(24,48,28)*
c(24,24,20)s(24,32,28)s(8,40,12)-s(40,40,12)-*c(32,24,20)*
s(16,16,20)c(24,32,20)s(24,40,20)--t(32,56,12)s(24,24,28)+*
s(24,40,20)t(16,32,12)-s(32,24,28)s(48,32,20)*+s(24,32,28)*
s(32,24,20)s(40,32,28)s(24,48,20)-c(40,40,20)*s(40,40,20)*-
s(24,24,20)s(16,48,12)s(24,32,28)s(16,24,20)*s(48,32,20)++*
c(24,40,20)s(16,24,12)-s(48,24,20)c(40,24,20)*t(32,16,12)--
s(24,48,20)t(48,16,12)+t(48,56,12)s(24,32,12)+-s(8,48,12)-
c(32,32,20)t(24,24,12)s(24,24,28)c(24,40,20)-+s(32,24,28)**
t(24,40,28)c(24,32,20)t(16,24,12)s(40,48,20)+c(32,16,12)+**
t(32,32,28)s(24,32,28)*c(24,40,20)t(24,32,28)s(40,48,20)-*+
s(32,32,28)c(32,24,12)-s(40,32,28)s(24,40,20)*-t(16,56,12)+
c(24,24,20)s(16,16,20)-s(32,16,20)s(16,24,20)-+c(40,24,12)-
s(48,48,20)s(40,48,20)c(48,16,12)+s(16,48,20)t(40,48,20)+**
t(40,48,20)s(32,48,20)*t(32,48,28)t(32,24,20)-s(32,32,28)*+
t(32,40,28)s(40,24,28)+s(16,16,20)s(24,48,20)s(48,40,20)++*
s(24,24,28)s(24,32,28)*c(32,32,20)+s(24,24,28)t(32,48,20)+*
s(24,24,20)s(40,40,20)t(24,40,20)-s(40,24,28)*-t(32,32,28)*
s(24,48,20)s(32,40,28)t(24,48,28)s(32,40,20)c(32,24,20)*-**
c(32,32,20)s(32,32,12)-s(48,24,20)t(48,16,12)-s(40,40,28)*-
s(40,32,28)t(32,32,20)-s(48,48,20)t(24,32,28)s(16,32,12)-+*
s(32,40,20)c(48,24,12)+s(32,32,28)s(40,48,20)-*c(16,48,12)-
s(32,24,28)c(24,40,20)t(40,48,12)-s(16,48,12)s(48,32,20)+--
s(40,24,28)s(40,32,28)c(32,24,20)s(32,8,12)c(48,24,12)+*-*
s(24,32,28)c(32,24,20)s(48,48,12)s(32,24,28)+s(24,16,20)*--
s(48,24,20)s(40,32,20)s(48,24,12)-+c(24,24,20)-s(32,24,20)-
s(16,32,20)s(48,48,20)s(32,40,28)*s(32,24,28)+*c(32,24,20)*
t(24,48,28)s(32,32,28)+t(40,24,20)c(40,40,12)c(32,32,12)++-
s(40,40,28)t(24,40,28)*t(32,48,28)*s(24,40,28)s(40,40,20)**
s(40,24,28)s(32,40,20)s(16,40,20)t(32,32,28)c(24,16,12)++**
s(16,40,20)s(48,48,20)s(32,40,28)c(32,32,28)s(48,24,20)*-+*
s(40,32,28)s(48,16,12)c(40,32,12)+s(48,48,20)--c(24,40,20)-
t(48,56,12)s(24,40,28)t(24,48,20)c(24,32,20)s(24,24,28)*+*+
s(32,40,28)s(24,32,28)t(32,48,20)-s(16,16,12)-t(24,24,12)--
s(40,32,28)s(40,16,12)-t(40,40,20)-c(40,32,12)+c(24,24,12)-
s(48,48,20)t(24,16,12)t(32,40,28)t(48,40,12)t(24,48,28)+++*
t(32,24,20)t(40,24,12)c(40,40,12)s(32,16,12)c(48,40,12)++++
s(32,40,28)t(40,24,12)s(16,32,12)+s(24,24,12)t(32,16,12)++-
t(32,32,28)t(40,48,12)+c(48,16,12)c(48,40,12)t(32,32,12)++-
c(24,40,20)c(32,32,20)s(32,24,20)c(24,16,12)-s(24,24,28)*-*
t(32,32,28)c(32,32,20)c(48,16,12)-s(40,40,12)-s(40,32,28)*-
c(24,24,20)c(40,40,12)+s(40,32,12)t(40,48,12)+t(48,16,12)+*
s(24,24,28)c(24,24,20)t(32,40,20)-s(24,40,28)*-s(40,40,28)-
s(40,24,20)c(24,24,20)*c(48,40,12)+c(40,16,12)-c(40,40,20)*
t(24,24,12)c(40,40,12)+s(16,32,20)s(16,16,12)-s(16,8,12)+-
s(24,40,28)s(40,24,20)c(48,16,12)-t(24,32,28)+s(40,40,28)**
s(40,32,12)t(32,48,12)s(8,32,12)++s(24,40,28)t(24,24,20)-+
c(40,32,20)c(32,32,12)-s(48,32,20)s(8,48,12)+t(40,24,12)-*
t(32,40,28)t(32,32,12)s(40,8,12)s(48,48,20)++s(24,40,28)*-
c(24,24,20)t(32,40,28)s(32,16,20)+c(48,48,12)-+s(24,40,28)*
s(40,8,12)s(8,24,12)s(32,48,12)s(40,24,20)+c(32,32,12)-++
s(32,40,20)s(16,48,20)-c(48,16,12)+c(24,40,12)-t(32,24,12)+
t(32,40,28)s(40,40,20)t(24,40,28)s(40,40,20)t(24,48,20)+*+*
t(40,32,20)s(40,48,20)t(24,40,20)-t(24,48,28)s(24,40,20)--+
s(48,48,20)c(24,24,12)c(40,24,20)s(32,32,28)*+t(24,24,20)--
c(32,32,28)s(48,24,12)-s(16,16,20)*c(40,24,20)s(48,32,20)-+
s(16,32,20)s(16,32,12)t(16,48,12)+c(24,40,12)+*s(32,32,28)*
s(48,48,20)s(24,24,20)c(48,24,12)s(32,48,20)+t(16,16,12)++*
t(48,16,12)s(40,40,20)+s(16,24,20)c(16,40,12)-+s(32,24,20)-
c(40,24,20)c(32,40,20)-s(32,24,28)c(24,32,20)*c(40,24,12)--
s(48,48,20)s(40,48,20)c(24,32,20)c(24,24,20)+-t(32,48,12)+*
s(48,16,12)c(24,40,20)+t(32,40,28)t(40,32,12)-c(32,24,12)-*
s(16,48,20)s(8,48,12)c(32,24,20)c(32,48,12)c(48,24,12)+-++
t(40,40,20)c(16,40,12)t(16,24,12)t(16,56,12)+++s(24,24,28)*
s(8,32,12)c(16,24,12)t(32,40,12)+s(24,24,12)++s(16,24,20)*
s(40,32,28)s(16,32,12)s(48,16,12)+t(40,32,20)-t(24,40,20)+*
s(32,40,28)s(48,48,12)-s(8,16,12)s(32,48,20)+t(32,40,20)*-
c(40,24,12)s(16,48,20)+t(24,48,28)+s(24,48,20)-s(32,16,20)-
s(40,32,20)s(24,32,28)c(32,24,20)s(48,48,20)-*s(40,16,12)+*
s(40,40,28)t(32,32,20)*s(40,32,28)s(32,16,20)s(48,8,12)--+
t(32,24,20)c(24,16,12)+t(48,32,12)+s(24,24,20)s(24,8,12)-*
s(40,40,28)t(32,48,20)s(32,40,20)*c(16,40,12)+-s(48,32,20)*
s(24,24,20)t(24,40,28)s(48,48,20)c(32,40,20)*s(40,40,12)++*
s(40,48,20)c(40,32,12)+s(32,40,28)s(24,48,20)-*t(24,24,20)+
s(32,24,20)c(16,40,12)+s(48,32,12)+t(24,48,28)*t(40,48,20)+
s(24,24,20)c(32,32,28)s(24,24,28)*s(24,24,12)-c(16,32,12)--
c(32,40,20)s(24,32,20)t(24,48,20)-c(24,40,20)+c(48,32,12)+*
s(32,24,20)c(40,40,20)+s(16,40,20)+s(16,48,20)*s(40,32,28)+
c(40,32,20)s(24,32,28)c(32,48,12)-s(48,24,20)+c(40,40,20)*-
s(24,16,20)t(40,40,20)c(16,40,12)t(32,32,20)+s(24,32,20)++-
t(32,48,28)c(40,40,20)*t(24,32,12)-c(32,24,20)s(40,24,20)*-
c(24,32,12)c(24,40,20)t(40,48,20)-c(32,48,12)-t(24,48,28)*+
c(40,40,12)s(16,48,20)s(40,40,28)s(48,32,12)-t(32,40,28)+*+
t(24,40,28)s(40,40,12)-c(32,24,20)s(32,32,20)*c(40,32,20)*-
s(40,24,20)s(40,40,20)c(40,40,12)-+s(48,24,20)t(24,40,12)+*
s(40,16,20)c(40,40,20)c(32,16,12)t(24,40,28)+t(32,16,12)---
s(24,8,12)s(40,16,20)t(40,24,20)t(40,56,12)+*+s(40,16,20)*
s(32,16,20)s(16,24,20)s(32,32,28)t(24,32,28)*s(40,32,20)*--
t(32,40,20)t(48,16,12)s(32,24,20)c(32,32,12)-++c(24,32,20)*
c(48,16,12)s(32,16,20)s(16,24,20)-+s(48,16,20)*s(32,40,20)-
s(40,32,28)s(8,8,12)s(32,32,12)+c(16,32,12)t(48,48,12)+--
s(16,48,12)c(32,32,20)c(40,32,20)c(48,16,12)-*s(40,40,20)*+
s(16,16,12)s(24,48,20)+t(24,48,28)*t(32,40,28)s(32,16,20)-*
s(48,32,20)c(40,24,20)+s(40,40,28)+s(24,48,20)c(40,40,20)*-
c(24,24,20)s(24,32,28)t(32,40,28)s(32,24,20)*-c(24,24,12)-*
c(32,32,28)c(48,16,12)-t(32,16,12)s(16,48,20)+*t(40,32,12)+
s(24,40,28)c(40,32,20)s(32,48,20)+*c(16,32,12)-c(24,48,12)-
c(48,16,12)t(24,40,28)+s(32,40,28)*s(32,32,12)-c(48,24,12)-
s(48,48,20)s(8,16,12)t(24,32,12)++t(48,40,12)-s(16,24,20)*
c(32,32,20)c(32,16,12)s(32,40,20)+*c(24,32,20)s(32,32,28)*+
s(48,32,20)s(24,8,12)+c(40,24,20)s(40,8,12)-+s(40,24,20)*
s(40,24,12)c(40,16,12)+t(24,40,12)+c(40,24,20)t(24,40,28)-*
c(32,24,20)t(24,24,20)t(32,48,28)+s(24,24,28)+s(32,40,20)--
s(24,32,28)c(40,32,20)t(32,48,20)-s(40,24,28)t(32,32,28)***
s(16,24,20)t(40,48,20)t(32,40,28)*s(24,40,12)+-t(24,40,28)-
t(32,32,28)s(24,32,28)s(32,24,28)t(24,56,12)+**s(24,48,20)-
c(40,40,20)t(24,32,28)c(16,16,12)--c(40,16,12)t(40,24,20)+-
c(16,48,12)s(16,8,12)+t(32,40,28)+s(24,32,20)*s(32,24,28)*
t(32,24,20)t(24,32,20)t(32,48,12)+s(40,48,12)+t(32,40,20)*-
t(48,40,12)s(24,24,20)s(32,40,20)c(16,32,12)--t(32,56,12)++
c(16,32,12)s(40,16,20)s(40,16,12)c(40,24,12)+t(32,24,20)+*+
s(32,48,20)s(40,48,20)*s(24,32,28)c(40,40,12)s(40,24,20)++*
s(40,32,28)c(24,32,20)s(40,32,28)s(48,40,20)-s(16,32,12)+**
s(40,32,20)t(24,32,28)-c(32,40,12)+t(40,32,12)t(24,40,20)++
t(40,40,20)s(24,40,12)+t(24,40,20)+c(40,16,12)+s(40,40,20)*
c(24,40,20)s(40,32,28)t(32,48,20)s(40,24,20)+*-c(40,16,12)+
t(24,48,12)t(40,16,12)+t(32,40,28)s(40,24,28)-t(24,16,12)++
s(32,40,20)s(40,24,20)+t(24,48,28)-c(40,24,20)c(24,32,12)-*
s(40,32,28)s(16,24,12)+c(32,16,12)t(32,48,12)+*s(48,16,12)-
t(32,40,28)s(32,32,20)*s(24,32,28)t(24,24,20)t(32,48,28)+**
t(32,24,12)s(8,40,12)+c(24,24,20)s(24,40,12)s(48,32,12)+++
c(32,40,20)t(24,32,20)s(32,24,20)s(40,32,12)-s(24,40,20)-++
s(24,24,28)c(24,32,20)s(24,32,20)c(16,40,12)s(48,32,20)++*-
s(32,16,20)s(40,24,28)*s(48,32,20)+c(48,40,12)t(40,32,20)++
s(24,40,20)s(8,24,12)s(16,40,20)+s(16,48,20)+s(32,40,28)**
s(24,24,20)c(24,40,12)-s(8,24,12)+t(32,24,12)-s(32,24,20)+
c(24,40,20)c(24,40,12)c(40,32,12)+t(32,48,28)*-s(24,48,20)+
s(8,32,12)c(40,40,20)s(24,24,28)*c(32,40,20)s(16,40,20)*++
c(40,24,12)t(40,48,20)s(40,40,28)t(48,48,12)-*+c(40,48,12)-
c(24,24,20)s(16,24,12)t(40,32,12)+*t(40,48,12)s(40,16,20)++
s(32,32,20)c(16,16,12)-t(32,16,12)+s(40,48,12)s(24,48,12)+-
s(48,8,12)s(16,40,20)t(24,48,28)s(32,24,28)-++c(40,40,20)*
s(24,40,20)s(32,32,28)c(40,24,20)s(48,24,12)-*+s(32,32,28)*
s(16,32,20)c(40,32,20)-c(24,16,12)s(32,40,20)+s(40,32,20)*+
c(40,32,20)s(24,48,20)-s(40,40,20)s(32,24,28)+s(40,32,28)**
s(40,40,20)s(40,40,28)s(32,24,12)t(48,32,12)+s(40,16,20)+*+
s(24,24,20)s(40,40,28)t(40,40,12)-t(40,48,20)-s(24,24,28)*-
c(40,40,20)c(32,40,20)c(24,32,20)s(32,24,28)**c(16,48,12)-*
s(32,40,28)c(40,40,20)c(24,24,20)+*t(24,48,28)-c(40,24,20)*
s(24,24,20)c(32,40,12)-s(32,32,28)s(48,32,12)-t(32,40,20)-*
t(24,40,28)c(32,32,20)c(32,32,28)s(24,32,20)--c(40,24,12)--
s(16,48,20)c(16,24,12)c(32,48,12)+c(32,24,20)--s(16,16,20)+
s(40,48,20)c(48,24,12)c(48,48,12)c(40,48,12)++t(24,32,28)-+
s(32,24,28)s(32,48,20)s(24,32,20)-c(32,32,12)+c(48,48,12)+-
t(32,32,12)s(40,48,20)+s(40,40,28)t(24,40,20)-t(40,48,12)-*
c(40,16,12)s(40,48,20)+t(40,32,12)t(40,48,20)+t(40,40,12)-*
s(24,24,28)s(32,40,28)t(24,32,28)s(16,32,12)-*t(40,16,12)+*
s(8,8,12)c(40,24,20)+c(24,40,20)s(32,32,28)*s(32,24,20)+*
t(40,24,12)c(40,40,20)c(24,32,20)c(16,40,12)-s(24,24,20)*-+
c(32,40,20)t(24,32,28)s(24,40,20)**s(16,8,12)s(16,24,12)+-
c(32,32,28)s(32,24,28)c(24,32,20)s(16,24,12)-s(32,24,28)*--
s(32,16,12)c(24,32,20)+s(32,40,20)c(24,40,20)*s(24,40,20)**
s(40,40,28)c(24,24,20)-t(24,40,20)+s(40,48,20)*t(24,32,28)-
s(40,48,20)c(16,16,12)s(16,32,20)+s(48,32,20)++s(24,24,12)-
s(24,32,28)s(40,16,20)-c(24,16,12)s(16,48,20)+c(32,40,12)-+
c(32,40,20)t(16,48,12)-c(32,24,20)+t(40,32,20)-c(40,40,20)*
c(40,40,20)t(40,24,20)-s(24,40,20)c(32,48,12)+t(24,24,20)-*
s(24,16,12)s(40,40,28)+s(16,40,20)-t(24,24,20)s(32,40,12)--
t(24,32,28)s(8,16,12)+s(16,16,20)s(16,24,20)s(24,32,20)*-+
t(24,40,28)s(16,48,20)+s(40,32,28)c(40,40,20)*+s(40,48,20)-
t(16,56,12)s(40,40,28)s(48,24,12)-+s(32,40,28)s(16,32,20)--
s(24,40,20)s(32,40,20)*t(24,56,12)s(32,24,28)+c(32,32,20)**
s(24,32,28)s(40,32,28)s(16,40,12)c(32,32,20)++*c(40,32,20)+
c(40,24,20)t(24,24,20)s(40,48,20)+t(40,40,20)*-s(32,8,12)+
s(24,48,12)s(40,8,12)+s(16,48,20)s(24,40,28)*+c(32,40,20)*
c(32,40,20)c(24,24,20)s(32,24,20)*t(32,48,12)t(24,16,12)+--
s(40,24,28)c(40,40,20)s(40,32,28)t(16,16,12)s(24,40,20)+*-*
s(24,24,20)t(24,32,28)t(24,48,20)c(24,16,12)+*c(24,24,12)+*
c(40,32,20)c(32,32,28)s(32,24,20)-s(32,48,20)*t(24,32,28)++
c(32,48,12)s(48,24,20)+s(32,16,20)c(40,40,20)c(32,24,20)+*-
s(48,32,20)s(40,32,20)t(40,56,12)+t(32,56,12)+*s(32,32,28)*
s(40,40,20)c(24,32,20)*s(16,16,20)+c(32,32,20)c(40,48,12)-*
s(24,24,12)s(48,16,12)+s(40,16,20)+s(24,40,12)+s(16,32,20)*
s(32,24,28)t(32,48,28)+s(48,40,12)c(32,24,20)s(16,16,12)++-
s(24,24,28)s(40,32,20)s(48,32,12)-t(24,40,28)c(32,24,20)*+*
s(40,40,12)s(40,16,20)+s(48,24,20)+s(40,40,20)s(24,32,20)+-
s(48,24,20)t(32,48,28)s(32,8,12)t(32,24,20)+-t(16,48,12)-+
s(40,32,28)s(24,24,28)-c(40,32,12)-s(40,40,20)c(48,24,12)+*
t(24,40,28)c(40,16,12)t(32,32,28)+t(24,40,28)-s(40,32,12)-+
s(8,8,12)c(32,40,12)s(24,24,20)+c(48,32,12)c(24,32,12)+*+
s(24,32,20)c(32,32,20)c(24,40,20)c(40,32,12)-s(32,24,28)--*
c(32,16,12)t(40,48,20)s(40,32,20)++s(16,16,12)c(24,40,20)+*
s(24,40,28)c(32,40,20)t(40,24,20)-t(24,48,28)c(24,40,20)**-
s(32,24,20)s(24,48,20)-s(32,32,28)t(24,24,12)-+s(24,40,28)-
c(32,32,20)t(16,56,12)s(16,32,20)c(32,32,20)*+t(32,40,12)--
t(32,32,20)c(24,32,20)s(24,40,20)s(24,32,20)t(24,48,28)*--*
s(24,24,28)t(32,48,28)t(32,32,20)c(32,24,12)+s(24,16,12)-+-
t(24,40,28)c(32,16,12)+s(24,16,20)-s(32,16,20)s(48,8,12)-+
c(40,40,20)c(32,32,20)c(24,16,12)-*c(24,32,20)t(40,56,12)+*
t(32,32,28)c(32,32,28)t(24,24,20)-c(48,24,12)-*s(16,40,12)+
t(48,48,12)s(24,48,20)+t(32,48,28)*t(32,24,12)+t(24,32,12)-
s(24,48,20)t(16,24,12)+c(32,32,20)s(16,32,20)+c(40,16,12)-*
s(32,24,28)c(40,32,20)*c(40,24,12)s(40,40,12)+*t(48,32,12)+
s(24,16,20)t(40,24,20)s(24,24,12)--t(24,40,28)c(32,32,20)*-
c(32,16,12)t(24,48,12)c(32,48,12)++t(24,32,20)s(24,16,20)++
t(32,40,20)c(32,32,20)s(24,32,28)**c(32,24,20)+t(40,56,12)+
t(24,56,12)c(48,32,12)s(24,16,20)s(8,8,12)-+c(40,24,20)*+
s(32,32,28)t(16,56,12)t(24,24,12)+t(24,48,28)s(24,40,28)*+*
t(32,40,28)c(40,24,20)*s(24,16,12)-s(40,48,12)+t(24,48,20)-
s(24,24,28)s(40,40,20)t(40,40,20)t(40,16,12)+*-t(32,48,28)-
s(16,32,20)t(24,40,20)+s(32,24,28)s(16,16,20)s(32,8,12)+*-
t(24,32,28)t(24,48,28)*s(24,16,20)s(16,16,12)-s(32,16,20)*+
s(32,24,12)t(24,40,28)t(24,48,20)t(24,24,12)+*+s(40,16,12)-
t(32,32,28)t(48,32,12)s(40,48,20)t(48,32,12)-+c(40,32,20)*+
s(48,48,20)s(32,40,20)c(24,40,12)-c(40,40,20)*-s(32,24,28)-
s(40,40,28)s(48,32,12)-s(24,32,28)*s(24,32,12)-s(16,40,12)+
s(32,24,28)s(40,32,28)s(32,40,20)s(24,24,12)++t(48,24,12)-*
c(24,40,20)s(32,32,28)s(24,32,28)t(24,16,12)-**c(16,32,12)-
c(32,32,20)c(24,32,20)s(16,32,20)*c(16,16,12)--s(24,32,28)*
s(32,48,20)c(40,40,12)+c(24,32,20)t(32,40,12)-+t(40,56,12)-
c(32,32,20)t(24,48,28)t(32,48,20)*c(32,24,12)+*t(40,16,12)-
s(48,32,20)s(40,40,12)-t(16,48,12)s(48,16,12)++t(16,16,12)+
c(32,24,20)t(40,48,12)+s(40,40,20)*t(16,40,12)+s(16,48,12)+
c(24,24,20)s(40,40,20)+s(32,32,28)*s(48,16,20)c(32,32,28)*-
t(16,32,12)s(16,16,20)+t(24,32,28)t(24,48,20)-c(32,24,12)-+
c(24,32,20)s(40,16,20)s(48,24,20)s(40,24,28)t(32,40,20)-+*-
s(16,32,20)s(32,16,20)t(32,56,12)t(32,24,20)+c(24,24,12)--+
s(40,32,28)s(16,48,12)t(32,32,20)+s(24,32,20)s(48,48,12)+**
c(24,24,20)c(16,16,12)-c(24,24,20)c(32,24,20)s(40,32,12)-*+
s(24,32,28)s(40,48,20)s(32,24,20)+c(24,24,20)--t(32,24,20)*
t(40,24,20)t(48,32,12)-s(16,40,20)+s(40,24,28)t(40,40,20)-*
s(40,48,12)s(8,16,12)+s(48,40,12)c(24,32,20)+s(24,40,28)*+
c(40,24,20)s(48,48,20)s(24,32,12)+s(24,40,28)*c(24,32,12)++
s(48,48,20)s(24,32,20)c(32,24,12)-t(32,32,20)+s(24,24,12)--
t(40,24,20)s(24,24,20)+c(24,40,12)-c(40,32,20)s(24,40,20)--
t(32,48,28)s(40,40,28)t(24,40,12)-s(32,24,20)s(32,48,20)+*+
s(40,40,12)s(24,16,20)s(16,40,12)+s(32,32,12)-+t(24,16,12)-
s(16,40,20)s(24,32,28)t(40,56,12)+t(24,48,20)-s(48,32,20)--
c(24,40,20)c(40,32,20)+c(24,32,20)-t(48,48,12)-s(40,16,20)+
s(24,32,28)s(40,24,20)+s(24,48,20)-s(16,16,12)s(32,24,12)+*
s(8,8,12)s(32,40,20)s(24,24,28)+t(24,48,20)-c(40,40,20)*+
s(24,48,12)s(24,16,20)+s(32,24,20)c(32,40,12)+t(40,40,12)-*
t(32,48,28)s(24,40,28)*t(32,56,12)c(48,16,12)+-s(32,24,12)+
c(40,32,20)s(32,32,20)c(16,24,12)-s(48,16,20)s(40,40,28)-+-
s(24,48,20)s(24,48,20)s(40,32,28)+s(40,16,20)-c(32,24,20)-*
s(48,32,20)s(48,32,20)c(32,32,20)c(32,24,20)*-t(48,56,12)+*
s(8,16,12)s(48,48,20)+c(40,32,20)c(40,24,12)-+c(32,40,12)-
t(32,48,28)c(32,32,12)t(40,32,20)+-c(24,40,12)+t(32,32,28)*
s(32,48,12)t(16,56,12)s(40,32,28)s(24,32,28)*+s(32,24,20)*+
c(24,40,20)c(32,24,20)c(24,24,12)-c(24,48,12)c(16,16,12)++*
c(24,24,20)s(40,32,28)t(32,40,28)*s(32,32,12)--s(8,40,12)+
t(24,40,28)t(24,32,28)s(24,24,20)s(48,48,12)s(24,32,20)+***
s(24,32,20)t(32,32,20)+t(24,32,28)c(40,24,12)-c(24,32,20)**
s(24,24,28)s(32,32,28)*s(32,40,28)*s(40,24,28)c(40,40,20)**
t(32,32,28)s(40,48,12)-t(40,40,20)s(24,24,20)--t(24,56,12)+
c(32,32,28)s(24,24,28)s(24,32,12)-*s(16,40,20)s(32,32,28)*+
s(32,24,28)t(24,40,28)-s(16,24,12)+t(24,40,12)s(40,16,20)+*
c(24,32,20)s(40,24,28)c(40,40,20)t(32,32,28)*-c(40,32,20)*+
c(24,32,20)s(32,24,28)s(32,32,28)t(40,24,12)-**c(16,24,12)-
s(48,16,12)c(48,24,12)c(24,40,12)t(32,48,12)+++s(48,32,20)+
c(32,32,28)c(40,16,12)-c(24,24,20)t(32,48,28)--s(24,32,28)*
s(40,32,12)s(48,16,20)t(40,24,20)t(32,32,12)--+c(32,40,20)-
s(24,40,20)s(48,24,12)s(40,40,20)+c(40,32,20)s(24,32,12)-*-
c(32,32,28)s(32,40,20)s(32,16,12)+s(24,16,12)--s(32,16,20)*
s(32,32,28)s(24,40,28)-c(16,16,12)s(32,8,12)+s(16,16,20)*-
c(32,16,12)s(40,24,20)+s(32,24,28)s(24,16,20)**c(40,24,12)+
t(32,40,20)c(40,40,12)+c(32,48,12)s(8,48,12)c(48,40,12)++*
c(24,32,20)c(32,32,12)s(16,32,12)+s(32,40,20)c(40,40,20)*++
s(24,40,12)s(8,8,12)c(24,24,12)++c(32,32,20)t(32,48,28)*+
c(24,32,20)s(16,40,20)-s(24,24,20)*s(24,24,12)+t(16,56,12)+
s(16,24,20)c(40,40,12)s(24,16,12)s(32,48,20)+c(24,40,20)-+-
s(24,32,28)s(40,24,20)+c(32,32,20)s(32,48,20)t(32,40,28)**-
s(32,24,28)c(24,32,20)c(32,40,20)*s(48,24,12)+s(24,48,20)*-
t(16,56,12)c(24,40,20)s(48,8,12)c(32,40,20)+*+s(24,32,28)*
s(32,40,20)s(24,24,20)s(32,32,28)*+t(32,32,28)s(32,40,12)-*
s(24,32,28)c(32,40,20)s(24,48,20)t(40,48,20)c(24,48,12)-+**
s(40,40,28)s(24,32,28)c(32,32,20)s(24,8,12)+*t(32,48,20)-*
c(48,32,12)t(24,40,28)s(24,48,12)-s(16,24,20)+s(24,32,28)*+
c(24,24,20)t(24,40,20)s(24,8,12)t(16,40,12)++c(24,32,12)-+
s(48,32,20)t(24,48,28)+c(40,32,20)c(32,32,20)*s(40,24,28)*-
s(32,32,28)s(24,48,20)-s(40,24,20)*c(32,32,20)t(48,40,12)-*
c(24,24,20)s(16,16,20)-c(40,40,20)t(24,48,28)-+c(24,24,12)-
s(40,24,20)s(24,24,20)s(24,40,20)*-s(40,16,20)*t(24,16,12)+
t(32,40,28)s(24,32,12)-c(24,24,20)t(32,40,28)*c(16,48,12)--
t(24,32,28)s(32,40,20)+s(40,32,20)s(40,24,20)c(24,32,12)-*-
s(32,32,28)c(32,24,20)*c(40,40,20)t(32,32,28)c(48,48,12)-*-
t(24,24,12)s(16,48,20)s(16,32,20)*+c(24,16,12)t(48,32,12)+-
t(32,32,28)c(32,32,20)s(48,32,20)-s(16,32,20)t(24,24,20)+**
c(32,32,28)t(24,40,20)-s(16,32,20)s(40,32,28)+*t(32,32,28)+
t(32,40,28)s(40,40,20)+s(40,8,12)+s(32,24,28)*t(32,40,28)*
s(16,40,20)s(24,32,20)t(24,40,28)*t(32,32,28)*c(24,24,12)+*
t(24,32,28)t(24,32,12)-s(24,40,28)t(16,48,12)-s(16,48,20)*-
t(32,40,28)s(40,48,20)s(16,32,20)t(24,32,20)*t(32,24,20)+--
c(40,40,20)c(32,32,28)t(32,32,28)c(40,32,20)*-*c(32,48,12)+
s(24,48,20)s(24,32,20)c(40,24,12)s(40,48,20)++c(48,16,12)+*
t(32,48,20)s(32,32,28)s(16,48,12)-t(24,40,20)-t(48,16,12)--
s(16,32,20)c(32,24,12)+s(24,40,12)-s(32,24,28)t(40,40,20)+*
s(40,40,12)c(40,24,20)s(24,48,20)-+t(40,32,20)-s(32,32,28)*
s(24,48,12)s(8,48,12)+s(8,24,12)+s(24,40,12)s(48,48,20)+-
t(24,48,28)t(24,40,28)s(40,24,28)+s(16,16,20)s(48,48,12)++*
s(40,40,20)s(48,40,12)c(32,32,12)+c(32,32,20)*s(40,16,20)+*
t(40,48,20)s(40,40,20)+s(40,32,28)s(32,32,28)*t(48,48,12)-*
c(40,40,20)s(48,48,20)c(32,32,28)*t(32,56,12)+-t(32,48,20)-
s(40,24,20)c(32,24,20)c(40,32,20)c(32,40,20)*+s(16,8,12)+*
s(40,32,28)c(32,48,12)s(24,32,28)t(48,32,12)+c(32,24,20)*+-
s(24,48,20)t(24,40,28)t(40,32,20)t(32,32,28)*+c(32,40,20)**
s(24,32,20)s(40,16,20)+s(24,24,28)s(32,16,20)**t(32,32,28)*
s(24,32,20)s(24,40,28)c(32,24,20)*s(16,32,20)c(40,40,12)+*-
c(40,32,20)s(24,32,28)s(32,24,28)s(32,24,12)-*s(32,16,12)+*
s(32,24,28)s(16,16,12)-c(32,32,20)t(32,48,28)*s(40,16,20)+*
c(24,32,20)c(16,32,12)-s(32,32,20)t(32,40,28)*s(8,32,12)+*
c(24,32,20)s(32,16,20)t(40,32,20)-+c(40,40,12)-c(24,24,20)*
s(48,32,20)s(40,48,20)-s(8,24,12)s(48,24,20)+*t(32,40,28)+
s(16,40,12)c(32,24,20)+c(40,32,20)t(48,56,12)+t(32,32,12)-*
t(24,56,12)c(16,16,12)s(32,24,20)+c(40,24,20)c(48,24,12)-++
c(16,40,12)s(40,40,20)s(32,40,20)*t(32,40,20)*s(48,24,12)++
t(24,40,28)s(16,32,20)+t(32,40,28)s(32,32,28)*c(40,32,20)**
t(32,32,20)s(24,48,20)s(40,40,28)s(48,40,20)c(48,40,12)----
c(40,16,12)c(32,32,12)+s(48,8,12)+s(48,16,20)*s(32,24,28)*
c(24,32,20)t(24,32,28)*s(40,32,28)t(24,32,28)t(24,40,20)*--
c(32,32,20)t(24,16,12)s(40,24,20)++s(32,40,20)-t(24,48,20)+
t(24,32,12)s(32,48,20)t(40,32,20)s(40,24,20)c(40,48,12)+*-+
s(24,16,20)s(40,32,28)-c(32,24,20)s(48,32,20)-c(40,48,12)++
s(16,16,20)s(40,24,20)+s(24,24,20)t(32,32,20)+*t(24,48,28)-
t(24,40,28)c(40,32,12)-c(40,16,12)s(24,40,28)t(32,48,20)-+*
c(24,24,20)s(40,40,28)+c(24,40,20)*s(16,48,12)c(16,16,12)+-
s(8,48,12)s(32,16,20)s(40,16,20)t(32,32,20)-*c(40,48,12)++
t(32,32,20)s(24,24,28)s(32,32,20)s(48,40,12)+*t(48,16,12)+*
t(32,48,28)t(24,32,28)s(48,40,20)c(40,40,20)s(16,40,20)-*+*
s(24,24,28)c(40,16,12)s(40,32,20)+s(24,16,20)t(48,24,12)++-
c(32,32,28)t(32,48,28)s(24,32,20)+s(40,48,20)t(40,32,20)+-*
s(24,24,28)s(40,24,28)c(24,24,20)c(40,32,12)-+*t(24,24,12)-
t(24,48,28)c(40,24,12)+c(32,32,12)-c(48,16,12)-t(24,48,20)*
s(40,32,28)s(16,40,12)t(32,48,28)+t(24,40,20)*-t(40,24,12)-
c(24,40,20)s(32,32,20)*s(32,24,28)s(24,16,12)c(32,40,20)+**
s(48,8,12)s(40,24,28)s(48,48,20)-s(32,40,28)-s(16,24,20)-+
s(32,32,20)s(32,24,12)s(16,40,20)+c(32,48,12)-*t(32,56,12)+
s(32,16,20)s(48,8,12)-c(48,16,12)-c(48,32,12)+s(32,16,20)*
c(48,32,12)s(24,40,20)s(32,48,20)c(40,40,12)-c(40,32,20)--+
s(24,40,28)s(24,16,20)+s(32,16,20)*s(40,32,20)c(48,24,12)--
t(32,32,20)s(32,48,20)t(16,16,12)s(40,40,20)+*+t(40,24,20)+
t(40,24,12)t(32,48,28)s(40,40,20)c(32,40,20)t(32,40,28)***+
t(24,16,12)t(40,48,20)+c(24,32,12)+c(24,16,12)c(16,24,12)+-
t(24,40,28)t(40,24,20)s(48,48,12)++s(40,24,20)*s(48,24,20)*
t(24,40,28)c(24,40,20)t(48,32,12)s(16,32,20)+*s(40,32,12)+*
c(40,40,20)c(40,24,20)-t(24,40,12)s(40,32,20)++s(32,24,12)-
c(48,16,12)c(16,48,12)+s(8,40,12)t(24,40,12)+-c(40,24,12)-
t(40,48,20)c(32,40,20)t(24,32,28)t(32,24,20)-t(32,48,28)+**
t(40,48,20)s(40,40,12)+c(40,24,12)s(48,48,20)+s(32,32,28)*+
s(32,32,28)t(40,32,12)-s(40,40,28)*t(40,32,20)c(24,48,12)+*
s(8,48,12)s(24,48,12)+c(16,32,12)s(32,24,28)s(16,24,20)*+-
s(48,40,20)s(48,48,12)-s(8,16,12)+s(40,24,28)-t(40,48,12)-
s(40,48,12)c(16,40,12)+s(40,40,28)t(24,40,28)*s(48,8,12)++
s(32,40,20)s(16,32,20)t(40,24,20)s(40,32,20)*s(40,16,20)+--
s(32,16,20)t(40,32,12)+s(48,24,20)*t(40,48,12)t(48,48,12)++
s(24,40,28)s(48,16,12)s(16,40,20)c(32,32,20)*+*s(40,40,20)+
c(32,32,28)c(32,48,12)-s(32,48,12)t(40,48,20)+c(32,32,12)+-
s(32,40,28)s(48,32,20)c(32,32,12)+s(40,32,12)-s(24,24,12)+*
c(40,32,20)s(48,48,20)*t(32,40,12)s(48,24,20)s(48,16,20)*++
s(24,24,28)t(24,40,28)-t(24,40,20)+s(48,32,12)+s(48,24,20)*
c(32,40,20)c(24,32,20)s(8,40,12)c(32,16,12)+*-s(24,32,28)*
s(40,24,28)c(32,24,20)*c(32,16,12)-s(32,40,12)+c(32,24,20)*
s(24,24,28)s(32,32,20)s(32,32,28)c(32,16,12)-+*s(24,16,20)*
c(32,40,20)t(32,32,28)*c(32,32,20)s(32,40,20)**t(16,32,12)-
c(24,40,20)s(40,32,28)s(24,24,28)s(16,24,20)-*c(32,40,12)+*
s(32,8,12)s(16,24,20)+t(48,24,12)+s(32,40,28)*s(8,32,12)-
s(16,32,20)s(24,48,20)s(8,40,12)++s(32,32,20)s(48,40,20)-*
s(24,24,28)c(32,32,20)s(32,24,20)t(32,16,12)--t(32,32,12)+-
s(24,40,20)s(24,40,12)c(24,24,12)+s(48,24,20)+t(32,32,28)**
s(16,40,20)s(8,32,12)t(16,56,12)t(24,56,12)s(24,24,12)+++*
s(48,16,20)c(24,24,20)s(16,16,20)*+s(8,24,12)-c(24,32,12)+
t(24,40,12)s(40,48,20)t(32,48,28)t(24,48,28)*-+c(40,40,12)+
c(32,32,28)s(48,48,20)s(32,24,20)s(24,32,20)+t(40,32,20)*-*
s(40,24,28)c(16,24,12)t(32,40,28)s(32,32,12)-t(32,32,28)*++
c(24,32,20)t(24,48,28)t(40,32,20)s(8,16,12)c(16,48,12)++*+
s(32,32,20)c(24,40,12)+t(24,40,20)s(48,24,12)t(16,24,12)++*
t(32,40,12)c(32,24,12)s(24,40,12)++t(40,40,12)c(32,40,12)++
s(40,40,28)c(24,40,20)s(32,48,20)s(16,40,20)+s(32,24,28)--*
s(32,24,28)t(40,32,12)-c(24,24,20)*c(24,40,12)s(32,48,12)+-
t(32,48,28)t(16,56,12)-c(32,32,20)t(40,24,20)t(24,32,20)+*-
s(32,32,20)t(24,48,20)s(24,40,28)t(24,32,20)-c(40,24,20)-*+
c(40,32,20)c(16,48,12)+c(40,40,20)s(40,24,28)*-s(48,16,20)-
s(40,24,28)t(32,32,28)s(24,40,28)c(32,32,20)*+s(40,48,20)*+
s(24,32,28)s(24,24,28)c(24,24,12)s(24,40,20)+--t(32,32,12)-
c(40,24,20)c(40,32,20)s(32,16,20)t(24,40,12)+s(16,24,12)--*
s(32,32,28)c(32,32,28)s(16,48,20)*-c(48,40,12)-c(32,40,20)*
c(32,24,20)t(32,40,28)+c(40,32,20)s(40,32,12)--c(32,40,20)-
s(40,16,20)s(16,16,12)+s(32,32,28)t(24,40,28)-s(40,24,20)**
s(16,32,20)s(24,40,20)s(40,32,28)s(40,24,28)*t(40,16,12)-+*
s(32,40,20)t(24,48,28)s(40,24,12)t(16,56,12)+-s(24,32,20)*-
s(8,48,12)s(24,40,28)c(24,24,20)*t(32,32,12)-+t(24,48,28)-
s(24,16,20)s(40,32,12)c(40,16,12)+s(40,24,20)s(32,32,28)**-
c(24,24,20)s(48,40,20)s(8,8,12)++t(32,32,28)s(24,32,20)**
s(40,32,28)s(40,40,28)t(32,48,28)*c(16,48,12)-+c(24,40,12)-
c(24,40,20)s(40,32,28)s(32,32,28)**s(48,32,20)s(40,24,20)*-
s(24,32,28)t(16,40,12)t(32,48,28)s(24,40,28)*s(24,48,12)-+*
s(24,16,12)c(32,40,12)+c(40,48,12)-c(16,48,12)+s(40,40,28)-
t(32,32,28)c(16,48,12)s(48,24,12)+s(24,24,28)+c(24,16,12)-*
c(40,32,20)c(32,32,28)c(24,24,12)s(16,48,12)+-*c(24,40,12)-
c(32,24,20)c(24,24,20)s(40,40,12)s(8,8,12)+-t(48,24,12)+*
s(16,32,20)t(24,40,28)s(32,24,28)s(48,24,12)-+*s(40,32,20)+
s(24,40,28)s(32,40,28)*c(40,24,12)-c(24,16,12)+s(40,32,12)+
s(32,48,20)t(48,56,12)c(40,40,20)s(32,32,28)*+s(40,24,12)+*
s(32,24,28)c(32,40,20)s(48,40,20)c(40,40,20)*--t(24,24,20)-
s(40,48,20)s(32,24,20)s(40,16,20)s(24,32,20)---s(40,32,20)-
s(32,48,20)s(24,48,20)*s(40,40,28)s(32,40,20)s(32,32,20)*-+
s(24,48,20)s(48,16,20)s(32,40,28)s(16,32,12)-+*s(24,32,28)+
s(24,40,20)t(40,16,12)+s(40,24,12)-c(24,24,12)-t(24,40,28)*
s(16,24,20)c(40,32,20)c(32,48,12)-s(40,16,20)+s(32,40,28)*+
s(48,24,20)s(48,32,12)-c(24,32,20)s(24,40,28)*+c(32,24,20)*
s(24,24,20)s(24,24,12)t(16,24,12)+t(40,24,12)+t(40,32,12)--
t(32,24,20)s(24,24,28)t(40,40,20)s(32,32,20)+s(24,32,28)*-+
c(40,24,20)s(40,8,12)-t(32,32,28)c(48,24,12)-*s(24,32,28)*
c(24,24,20)t(40,40,20)+s(16,32,20)c(40,40,20)t(32,24,20)-+*
s(16,48,20)t(40,40,12)s(24,40,28)s(40,48,20)-+c(40,40,20)-*
t(24,48,28)s(8,40,12)c(32,40,20)c(32,32,20)*+s(24,48,20)**
t(32,48,28)t(16,24,12)+t(16,48,12)t(16,32,12)+-s(24,40,20)-
c(32,24,20)s(40,40,28)s(24,48,12)c(40,24,20)+s(48,24,12)-**
s(32,40,28)c(40,24,20)*c(40,48,12)+s(24,32,28)*c(24,32,20)*
s(32,40,28)s(16,40,20)c(24,40,20)+c(24,40,12)-*t(24,48,12)-
s(48,40,20)s(24,24,28)s(24,16,20)--s(16,24,12)+s(40,40,12)-
s(16,40,20)t(32,40,28)*c(24,24,20)t(32,40,28)-+s(32,16,20)*
t(24,48,28)c(32,32,20)s(40,40,28)*t(40,32,20)*-c(40,40,20)-
s(32,16,20)c(24,40,20)c(32,32,28)t(32,48,20)-*s(32,16,12)+*
s(40,24,28)t(24,40,12)c(40,32,20)t(32,48,28)c(48,40,12)+-+*
c(40,24,20)s(24,40,28)t(48,24,12)s(40,24,12)+c(32,40,20)+**
s(32,40,20)c(40,32,20)s(40,48,20)+s(48,16,20)s(32,32,20)+**
s(24,32,28)s(40,40,28)-t(32,32,28)s(24,16,12)s(16,40,12)+-+
t(24,56,12)t(24,40,28)+t(48,32,12)+c(32,32,20)*c(40,32,20)*
s(40,24,20)s(16,32,20)s(40,32,20)+s(16,48,12)+*t(24,56,12)+
t(32,32,20)t(24,40,28)+s(16,40,20)*s(40,32,28)t(24,48,28)+*
s(24,24,28)s(24,40,28)t(32,48,12)-s(16,24,20)*t(48,56,12)+*
s(32,32,28)s(32,32,12)-s(24,48,20)-s(8,24,12)+t(32,32,20)-
c(32,32,28)s(48,48,12)-s(48,40,20)s(24,32,28)+*s(24,24,28)-
s(32,32,28)t(32,32,20)c(40,24,12)+t(40,40,12)-s(16,40,20)+*
c(48,16,12)s(24,32,28)s(40,48,20)t(24,56,12)--+s(16,24,20)*
c(40,40,20)s(16,32,20)t(32,32,28)c(16,40,12)-+s(32,24,28)+*
c(16,16,12)c(48,48,12)+t(24,32,28)t(40,24,12)+-t(48,56,12)-
s(40,32,28)s(32,48,20)c(48,32,12)+c(24,24,20)-*s(32,40,12)-
s(8,32,12)s(48,40,20)+c(32,24,20)s(40,24,28)c(32,40,20)**-
t(24,32,20)s(32,24,28)s(40,24,28)*+t(24,32,12)t(40,48,20)+-
s(40,40,28)s(32,24,20)c(32,24,20)t(32,32,28)t(24,32,20)--*+
t(24,40,28)c(32,40,20)*t(24,32,12)s(48,16,20)+s(40,40,20)+*
t(32,32,28)s(40,48,20)s(24,48,20)*-s(24,48,20)t(32,40,20)--
s(16,32,20)t(24,48,12)s(24,32,20)t(24,32,20)c(40,40,12)+*+*
t(24,56,12)c(24,32,20)+c(24,40,20)*s(48,32,12)+s(24,40,28)*
s(16,24,20)t(32,40,20)+c(24,24,20)t(40,32,20)-c(16,32,12)--
s(24,40,12)t(32,40,28)s(24,24,28)*+s(32,32,20)*c(32,16,12)-
s(32,48,20)s(32,24,28)s(32,16,12)-c(32,32,20)*-s(48,24,20)+
s(24,40,20)s(32,24,20)s(40,8,12)-s(16,16,12)s(16,24,12)++-
s(40,40,28)s(32,16,20)+s(40,40,28)-t(32,24,12)s(32,40,12)++
t(32,32,20)s(40,32,28)s(24,16,20)-+t(40,48,20)s(32,48,20)+*
s(32,48,20)c(24,32,20)s(24,32,12)-c(16,24,12)c(40,32,20)+*-
s(48,40,20)t(32,56,12)t(48,48,12)+s(40,32,20)s(24,40,20)-+*
t(32,56,12)t(24,32,28)+s(32,40,20)s(40,48,20)*+s(40,40,20)-
c(40,32,20)s(32,40,28)*s(48,32,20)c(32,32,12)--s(40,40,20)*
t(24,32,12)c(48,40,12)+s(40,16,12)+s(40,32,28)*s(32,40,28)*
t(32,40,28)t(24,32,28)c(40,32,20)t(24,56,12)c(24,16,12)++**
t(24,32,20)s(24,24,20)*t(24,40,28)t(24,32,28)s(32,40,20)**+
s(48,32,20)s(48,24,12)-t(40,48,20)c(16,16,12)+c(32,40,20)*-
s(40,32,28)s(24,24,28)s(24,32,28)+s(32,32,28)*s(32,40,28)*-
t(24,40,28)c(32,32,28)s(24,40,20)s(32,48,20)-s(24,16,20)+--
c(40,32,20)c(40,48,12)-t(32,40,28)t(24,32,28)s(40,24,28)+**
t(16,24,12)c(24,48,12)+c(24,16,12)+s(32,16,12)-s(24,8,12)-
t(24,40,28)s(24,32,20)*c(48,48,12)+s(40,40,28)*s(32,48,20)*
s(32,32,28)c(40,24,12)-c(24,40,12)-s(16,40,20)s(32,24,28)+*
s(48,40,20)c(32,40,20)s(16,32,20)s(24,40,28)s(32,48,20)-+-*
s(32,40,28)t(24,32,12)-c(24,32,12)-c(32,40,20)*c(40,40,20)*
s(40,40,20)s(24,24,28)s(24,16,12)t(32,40,28)+c(40,32,12)-+*
s(16,48,20)s(16,16,20)t(32,32,28)s(32,48,20)*++s(32,24,20)-
s(48,48,20)t(32,32,20)s(48,40,20)s(40,32,20)s(32,40,28)**++
c(24,40,20)c(32,32,28)s(32,24,12)-s(48,40,20)+s(40,32,20)*-
s(24,32,12)s(16,40,20)t(32,40,28)t(24,40,20)*-+c(24,48,12)+
s(32,24,28)t(32,56,12)s(24,16,20)+*t(32,40,20)s(32,16,20)+*
c(40,24,20)c(32,32,20)s(40,40,28)*s(32,48,12)-c(24,32,20)*-
s(32,16,20)c(32,24,20)t(16,48,12)s(24,24,12)+-c(32,40,20)++
c(24,40,20)s(40,32,28)t(32,40,28)s(24,40,12)-++t(24,48,20)-
c(40,40,12)c(24,32,20)s(16,24,12)-s(8,40,12)s(40,40,28)+*+
s(40,40,28)t(16,40,12)+c(24,24,12)c(16,48,12)+c(32,48,12)+*
s(24,32,20)s(32,40,20)*t(40,40,12)+s(16,24,20)t(40,48,20)+*
s(48,8,12)t(48,48,12)+s(40,32,28)+t(32,32,28)+t(32,32,20)-
s(32,40,20)c(40,32,20)*s(32,16,20)+c(24,40,20)+s(32,16,20)-
s(32,40,20)c(40,48,12)s(40,24,20)++s(48,24,20)-s(24,32,28)*
c(16,16,12)c(16,24,12)+s(24,32,28)*c(32,16,12)+t(32,48,12)+
t(32,48,28)c(40,24,12)t(32,32,28)+c(24,32,12)s(32,40,20)+*-
c(48,32,12)s(24,24,20)+s(32,32,12)-s(24,16,20)+c(24,24,20)-
c(40,24,20)s(32,24,28)*c(40,40,12)t(32,48,28)+s(24,48,20)*+
c(40,32,20)t(40,24,20)-s(40,16,20)s(16,40,12)+t(32,24,20)*+
c(32,32,28)t(24,40,20)-s(24,48,20)s(8,48,12)--s(16,16,12)-
t(40,56,12)s(24,24,20)s(24,32,20)++s(32,24,28)t(40,24,12)--
s(16,8,12)t(32,40,28)s(40,32,28)*+s(16,16,12)c(32,24,20)+*
s(40,40,28)c(32,40,12)-t(32,32,28)-t(48,16,12)+s(40,40,20)-
t(32,48,28)c(40,32,20)s(48,40,12)s(32,48,12)+c(24,40,12)+*-
c(32,32,28)c(40,32,12)t(32,24,12)+-t(32,40,28)*c(40,40,20)*
s(24,40,20)s(40,16,20)s(32,32,28)*+s(40,32,20)c(48,32,12)--
t(24,32,28)s(32,24,28)t(32,16,12)-s(16,16,12)-s(24,16,20)-*
s(32,24,20)c(32,32,20)c(32,40,12)-*s(24,40,28)+s(40,40,20)*
s(40,40,28)c(40,32,20)s(40,8,12)+s(40,32,28)*t(40,48,12)-*
s(40,40,12)t(40,16,12)+c(16,40,12)s(24,24,20)+t(32,40,28)*+
s(24,16,20)c(40,32,20)s(48,16,20)-c(24,32,20)+-c(40,48,12)+
c(40,32,12)t(32,40,12)+t(32,32,28)*c(40,40,20)t(32,40,28)**
s(48,48,20)s(40,24,28)-t(24,32,28)+s(40,48,20)c(32,32,28)**
t(32,40,20)c(24,24,20)+t(24,32,28)*c(24,40,20)*s(24,16,20)-
t(24,48,28)t(32,40,28)s(48,32,20)-c(40,16,12)c(16,40,12)+--
t(32,32,28)s(32,40,28)s(48,48,12)-s(40,40,28)**s(32,24,20)+
c(32,40,20)t(24,32,20)t(24,40,12)-+c(40,32,20)t(16,32,12)++
s(40,32,28)s(32,24,12)-s(24,40,28)t(32,40,20)--s(32,48,20)*
c(32,40,20)s(32,24,12)s(24,16,12)t(24,48,28)+++t(16,56,12)-
s(16,48,20)t(24,56,12)s(24,32,28)+c(32,40,20)**s(24,48,12)+
s(24,24,20)s(32,24,28)s(16,32,20)s(24,24,28)s(48,24,20)-+**
c(24,32,20)t(32,48,28)c(32,32,20)s(24,40,20)**-s(32,24,28)*
s(16,16,20)c(24,32,20)s(16,48,12)-+s(24,40,28)s(16,24,12)-*
c(32,24,12)s(40,32,28)t(32,32,28)t(24,32,28)**+s(24,16,20)+
t(16,16,12)c(32,32,20)c(16,32,12)-t(24,16,12)-+s(24,24,20)*
s(24,40,12)s(40,24,20)s(48,8,12)s(32,8,12)+c(48,16,12)+-+
s(32,40,12)c(48,24,12)+t(32,48,20)t(24,40,28)*-t(24,32,28)-
s(48,16,12)c(40,32,12)+t(32,48,20)+t(24,24,20)s(40,24,20)+*
t(24,32,28)s(16,40,20)s(24,40,12)-s(40,24,20)s(48,24,12)-+*
s(24,16,12)t(24,32,28)t(32,48,28)-t(16,16,12)-s(16,8,12)++
c(32,48,12)c(40,16,12)+s(32,48,20)c(24,32,12)-t(40,56,12)--
s(24,40,28)t(32,40,28)s(32,32,28)s(16,48,12)c(40,32,20)+*+*
t(24,40,28)s(32,24,20)+t(40,48,20)c(24,40,20)+s(24,24,20)**
s(48,40,20)s(32,24,28)s(40,40,20)*t(24,48,28)s(24,24,20)--+
s(16,32,20)t(48,32,12)t(32,40,20)c(40,32,20)*+-s(24,40,12)-
c(40,40,20)s(16,32,20)c(24,24,20)*-s(24,24,20)t(16,24,12)--
t(40,56,12)c(24,24,20)+c(24,32,20)s(16,48,12)--c(32,48,12)-
s(40,48,20)t(32,48,28)t(24,24,20)t(40,24,12)+s(8,16,12)++*
s(24,40,28)s(40,40,28)*s(24,32,20)t(24,16,12)-s(32,32,28)*-
c(40,40,20)s(48,24,20)t(32,32,28)+*s(40,32,20)t(48,32,12)-*
c(24,40,20)s(32,40,28)t(40,24,20)-s(24,16,12)+*s(32,48,20)*
c(16,40,12)s(32,32,28)s(40,40,28)+t(32,32,12)-s(32,32,20)*+
s(40,32,28)c(48,40,12)-c(40,32,20)t(16,24,12)+c(32,32,20)--
s(40,40,28)t(16,56,12)+t(24,48,28)s(8,8,12)t(48,48,12)++*
s(32,24,28)c(32,40,20)s(48,32,20)*t(16,32,12)t(16,56,12)++-
s(40,40,28)s(40,24,28)*s(40,40,20)c(40,24,12)--t(48,32,12)+
s(40,24,20)s(24,40,20)s(32,16,20)-s(40,16,20)+*c(24,32,12)-
s(24,16,20)s(24,32,28)s(16,16,20)*-s(32,16,12)s(40,32,20)++
c(40,48,12)c(40,24,20)s(32,24,20)+t(24,32,28)*+s(32,48,20)-
c(32,24,20)s(24,24,20)-s(32,32,20)s(24,16,20)-+t(24,48,20)+
t(24,40,20)s(32,16,12)+s(16,40,12)+s(32,40,12)-c(40,40,20)-
c(40,48,12)c(32,24,20)t(24,16,12)c(40,32,20)+*t(40,40,20)++
t(24,32,20)t(48,48,12)c(40,40,20)s(24,32,12)+s(32,24,28)*++
t(32,32,28)c(24,40,20)t(32,32,28)*t(32,40,28)*s(48,40,12)+*
t(32,40,28)s(24,24,28)*s(32,16,12)+c(48,32,12)-t(24,40,20)-
t(40,56,12)t(24,48,28)t(40,48,20)-+s(32,32,28)c(40,16,12)-*
t(48,56,12)t(32,56,12)+s(32,40,28)t(32,24,20)*c(40,16,12)++
t(40,48,20)s(40,32,28)s(16,24,20)-c(24,40,12)++c(32,24,12)-
c(32,32,20)s(32,24,28)t(32,24,12)s(48,48,12)+-s(48,40,20)--
t(40,24,12)c(48,40,12)s(40,24,28)s(32,32,12)-+c(32,40,20)*+
s(32,48,20)s(40,48,20)t(40,40,20)*s(40,48,12)+t(24,32,28)+*
s(24,40,28)s(32,32,20)c(40,24,20)+t(32,40,28)*c(24,16,12)--
s(8,24,12)c(24,40,20)s(32,40,28)s(24,40,12)-s(32,32,28)**+
t(24,32,28)c(40,40,20)s(40,32,28)s(8,40,12)c(40,32,20)+**-
c(24,40,20)t(24,40,28)*s(48,40,20)s(40,24,20)s(24,48,12)+--
s(48,32,12)s(16,24,20)t(24,40,28)s(48,40,20)-+t(24,32,28)*+
s(16,24,20)c(40,16,12)+s(48,16,12)-t(24,24,20)*t(32,48,28)-
t(32,32,28)s(40,24,28)*s(48,40,20)+s(16,32,20)-c(32,32,20)*
c(40,32,20)s(32,32,28)t(32,48,20)s(48,40,20)+s(24,40,28)*+*
s(40,24,28)t(40,40,20)s(24,48,12)+-s(24,32,28)*s(8,16,12)+
c(32,32,20)c(24,40,20)s(48,24,12)+s(24,24,20)c(40,32,12)--*
s(40,24,28)s(24,24,28)t(24,48,28)-s(16,32,20)-c(32,32,28)*-
c(32,40,20)c(48,32,12)-s(32,48,12)t(40,32,20)c(32,40,20)*+-
t(24,48,12)s(48,32,20)+s(48,16,12)-c(32,32,20)s(32,40,28)*-
s(16,32,20)c(32,32,28)*s(40,16,20)c(32,32,28)*-s(24,40,12)-
s(16,8,12)t(24,40,28)t(40,40,20)-t(32,48,28)s(40,40,12)--+
s(24,16,20)c(24,24,12)-s(24,40,12)s(40,16,12)++s(24,24,28)*
t(24,24,12)s(40,40,28)c(24,24,20)s(24,40,28)**+s(48,32,12)+
t(32,48,20)s(32,48,20)s(32,40,28)s(24,40,28)**t(24,48,28)**
c(32,40,20)c(24,40,20)s(48,48,20)t(48,48,12)--s(32,48,12)-*
s(32,32,28)s(16,32,20)t(40,32,20)s(24,40,28)t(24,40,28)-+-*
s(40,24,28)s(24,48,20)c(24,32,20)s(24,16,20)-*-t(40,40,20)+
c(16,24,12)s(24,48,20)+c(32,32,12)+s(40,40,28)s(48,32,12)-*
s(32,32,28)s(24,24,28)s(48,48,12)+s(48,16,12)c(40,32,20)+*-
c(24,24,20)c(40,40,20)s(48,16,20)-c(32,24,12)++c(32,24,20)+
s(32,24,28)s(32,32,28)t(40,40,12)-*s(40,40,28)-s(24,32,28)*
t(32,32,28)s(24,48,20)t(24,40,12)-t(24,48,20)+t(24,16,12)+*
s(32,40,28)t(24,32,28)s(40,40,28)s(24,32,28)-++t(32,24,20)-
s(32,32,20)t(40,48,20)-s(24,24,20)s(48,24,20)-s(24,16,20)*-
s(32,40,20)s(24,40,28)c(32,40,20)t(32,56,12)-*s(24,24,12)+*
t(24,40,28)s(40,40,28)s(24,32,20)t(32,32,28)*-c(32,40,20)*+
s(16,32,12)t(24,40,20)+t(24,32,28)s(32,40,28)**s(40,40,12)-
s(32,40,20)t(40,48,12)c(24,32,20)t(32,32,20)-++t(24,32,28)-
t(40,40,20)s(24,32,28)t(48,40,12)t(24,32,12)++s(24,8,12)+*
c(32,32,20)s(48,32,20)-s(32,32,28)t(24,40,12)-s(48,40,20)+*
s(32,24,20)s(40,24,28)t(24,40,28)c(32,32,28)s(40,48,12)-*-*
s(40,32,28)s(24,32,20)*s(40,24,12)t(24,48,28)+*t(32,24,20)+
t(24,56,12)t(24,48,20)c(48,32,12)+c(24,40,20)t(24,32,20)-*+
s(40,32,28)t(24,40,28)t(32,32,20)+c(48,48,12)c(24,24,12)+--
s(40,24,12)c(40,16,12)c(48,48,12)+s(32,40,28)*+s(24,40,20)-
t(32,48,28)s(40,48,20)t(24,32,12)+c(16,16,12)+*s(32,40,20)+
c(32,16,12)c(40,24,20)c(40,40,20)-+c(32,40,20)s(48,8,12)++
s(32,32,20)s(48,32,12)-c(24,16,12)s(48,8,12)+-c(32,24,20)*
c(24,24,20)t(24,32,28)*s(24,24,20)s(24,32,20)c(40,32,20)*--
t(24,40,28)s(32,48,20)c(40,40,20)c(40,40,12)---c(32,40,20)*
t(24,24,20)s(40,40,12)+t(32,40,28)*s(24,24,12)+t(48,32,12)+
s(40,40,28)s(32,32,28)c(24,40,20)t(32,32,28)*--t(24,40,20)-
s(16,24,20)s(16,48,12)+s(32,32,28)s(32,24,28)*t(40,40,12)--
t(32,48,28)s(24,32,28)c(32,32,20)s(40,16,12)-**s(48,16,20)+
c(40,40,20)s(48,24,20)*c(16,16,12)t(24,40,20)++s(16,16,20)-
s(40,24,28)c(24,40,20)t(40,40,12)t(24,48,28)+*s(40,48,20)--
t(24,48,28)s(32,40,28)t(32,24,12)-s(40,40,20)*-c(16,16,12)+
c(32,32,20)c(16,16,12)s(16,40,20)+c(32,40,20)t(24,40,28)*++
s(16,32,20)s(32,24,28)+c(32,24,20)c(48,40,12)-s(32,40,20)+*
s(32,32,20)s(32,32,20)s(40,24,20)-c(32,24,12)+s(24,24,20)**
s(32,40,28)s(24,48,20)c(40,40,20)*s(48,16,12)++s(32,48,20)-
t(40,24,20)t(16,48,12)+s(48,40,20)-t(32,40,20)-t(48,48,12)+
s(48,48,20)s(16,48,20)c(40,48,12)+-s(48,8,12)t(16,32,12)++
c(24,32,20)t(48,56,12)+s(16,40,20)+c(40,24,20)*s(40,8,12)+
s(32,40,28)c(40,32,20)*s(40,32,28)s(16,16,12)t(32,32,20)+**
s(40,16,20)s(8,32,12)+c(24,40,20)-s(16,40,20)t(48,56,12)+-
t(32,40,28)c(32,32,28)s(32,16,20)-s(48,48,20)++s(32,32,28)-
t(24,48,28)s(32,32,12)+c(40,32,20)c(32,32,20)*+c(40,40,20)-
s(32,32,20)s(40,24,28)s(24,24,20)*t(24,16,12)-t(16,48,12)+-
t(24,32,28)t(32,40,28)s(16,32,12)c(16,24,12)c(48,32,12)++-*
c(32,24,20)c(40,32,20)s(48,48,20)-*c(24,24,12)-c(24,40,12)+
t(40,32,12)s(48,48,20)+t(32,24,20)-t(40,32,20)+t(32,40,20)-
t(48,56,12)s(32,32,28)+c(40,32,20)s(32,48,12)-*c(32,16,12)+
c(32,40,12)s(40,16,20)+s(48,24,12)s(40,40,20)s(16,32,20)++-
s(24,16,20)s(40,16,12)s(8,16,12)+-s(24,32,20)c(24,32,12)--
t(24,48,28)c(40,32,12)+t(40,40,20)-s(48,40,20)+s(32,32,12)-
c(40,48,12)s(48,16,12)+c(40,40,20)t(24,24,20)-*s(48,32,12)-
c(24,32,20)s(40,32,28)*c(16,48,12)+s(32,32,20)*s(48,32,12)+
t(48,16,12)s(16,40,20)+s(40,40,28)+t(24,32,28)*s(48,24,20)-
c(32,24,20)c(16,32,12)+s(32,24,28)c(40,32,20)s(32,48,20)-*-
c(32,32,20)t(32,32,28)t(32,32,20)c(32,24,12)+c(32,48,12)+*-
t(24,40,28)c(40,32,12)-t(16,24,12)+s(32,32,28)s(32,24,28)**
s(40,40,20)s(32,24,20)c(32,40,20)c(40,24,20)s(32,8,12)+**-
s(16,32,12)s(24,32,28)s(40,40,28)+s(24,40,20)-+c(24,24,20)*
s(48,24,20)c(40,16,12)-s(24,16,12)s(32,40,20)t(24,40,12)-+-
c(32,32,20)t(24,32,28)s(8,40,12)-c(32,16,12)-s(40,32,12)--
s(40,40,20)t(48,48,12)s(24,40,20)+t(32,32,28)*s(32,48,12)-+
t(48,48,12)s(40,32,28)s(32,24,20)-c(24,32,20)c(48,16,12)+*+
s(24,24,20)t(24,32,12)-c(24,48,12)+t(32,48,20)-c(16,32,12)-
s(32,32,20)t(40,32,12)s(16,40,20)+t(24,40,12)-t(16,40,12)-+
s(40,24,20)c(32,40,20)-s(32,24,28)c(48,40,12)+s(16,40,20)+*
c(16,40,12)t(40,24,20)+c(24,24,20)+c(32,40,20)t(32,40,28)+*
s(8,40,12)s(32,32,28)+c(40,48,12)c(40,24,12)+s(48,16,12)+*
s(24,40,20)t(16,56,12)s(32,40,20)+*t(24,32,20)+s(16,40,20)*
s(40,24,28)c(32,32,20)s(24,24,12)--c(32,32,20)c(32,24,20)*-
s(48,24,20)s(40,16,20)-t(24,48,28)+s(32,40,28)*t(48,56,12)+
c(48,16,12)t(24,48,28)+s(32,8,12)+t(32,40,28)t(40,48,20)+*
s(40,40,28)t(48,40,12)-s(32,40,28)s(24,32,20)-c(32,40,12)+*
s(24,40,20)s(48,48,20)+t(40,48,12)-t(32,48,28)*s(24,40,20)*
s(40,24,20)s(24,40,28)s(32,32,20)*+t(32,48,20)s(40,32,12)+*
c(24,48,12)s(48,48,20)+t(40,16,12)s(32,40,20)+c(16,48,12)--
s(48,40,20)s(24,40,12)+s(32,32,12)s(24,48,12)+s(40,32,12)+-
t(24,48,20)s(8,40,12)s(40,24,28)t(16,16,12)++s(48,16,12)--
c(16,48,12)s(32,24,28)+c(16,40,12)-t(32,40,28)*c(24,16,12)-
s(32,32,28)s(40,16,12)s(48,48,12)+s(32,24,12)+-c(40,32,12)-
t(32,24,20)s(32,48,20)s(32,32,28)s(48,16,20)+*s(16,48,12)-+
t(16,16,12)s(24,40,28)s(24,40,12)-c(16,24,12)t(40,24,12)+*+
t(24,40,12)t(48,16,12)s(32,16,12)++s(32,48,20)c(32,32,20)*-
t(16,16,12)t(48,56,12)s(16,32,12)+s(40,16,20)s(32,32,28)*++
c(16,48,12)c(32,32,28)s(40,40,28)-s(16,32,12)-+c(40,48,12)+
s(32,24,28)t(24,32,28)*s(40,16,20)s(40,40,20)--s(24,48,12)-
s(48,24,12)c(40,40,20)+s(24,48,20)*s(40,16,12)+s(40,24,28)*
s(40,24,20)t(32,40,28)-c(24,32,12)+t(32,24,20)c(32,40,12)--
c(32,48,12)c(24,24,20)s(32,32,28)s(32,16,20)+s(40,32,28)*-+
s(32,40,20)t(48,40,12)+s(32,24,28)t(40,40,20)+*t(16,40,12)+
t(48,32,12)s(24,24,28)+t(48,56,12)+s(24,40,20)c(16,32,12)+*
t(16,56,12)c(24,16,12)t(48,16,12)+c(48,40,12)t(16,24,12)+++
c(32,32,28)t(32,48,28)*c(40,40,20)*s(48,48,12)c(24,40,12)+*
c(48,32,12)s(32,32,20)s(40,24,20)-+t(24,24,20)+c(40,40,12)-
t(40,24,20)s(48,24,20)*t(24,48,28)c(32,32,20)t(48,16,12)+*+
c(16,32,12)s(32,48,20)s(32,24,20)s(24,32,28)*s(40,24,28)*-+
c(32,48,12)s(24,24,20)t(24,32,28)*t(16,16,12)s(16,8,12)+-+
s(40,48,20)t(32,32,28)c(40,32,12)-s(32,32,20)+s(32,16,12)--
c(32,32,20)c(24,32,20)*c(40,32,20)*c(48,32,12)+t(48,32,12)-
t(24,32,28)s(16,32,20)*s(40,40,20)t(24,40,20)-s(32,32,28)+*
t(24,48,28)t(48,32,12)s(32,40,20)t(16,48,12)-++t(40,32,20)*
s(40,24,20)s(48,48,12)s(8,24,12)c(32,40,20)+c(40,32,20)*+*
t(16,56,12)c(40,40,20)+c(32,16,12)+s(48,32,12)-s(32,16,20)*
t(32,32,28)c(32,40,20)*t(32,40,28)s(40,32,28)t(40,24,12)-+*
s(32,32,28)c(24,32,20)s(32,40,20)*s(32,48,20)s(32,40,20)**-
t(24,40,12)t(32,24,20)c(24,32,20)t(40,32,20)+*t(24,16,12)-+
s(24,32,20)t(24,16,12)s(24,32,20)+s(40,16,20)+t(24,32,28)**
c(32,16,12)c(24,40,20)c(24,24,20)-+t(24,40,12)s(40,24,20)++
s(8,8,12)c(24,48,12)+c(24,40,20)s(40,40,20)+s(24,24,28)*-
s(32,32,20)t(40,32,12)-s(32,40,20)t(24,24,12)-s(24,32,12)+*
s(32,32,28)t(32,48,12)c(24,32,20)s(40,40,20)-+*s(24,48,12)-
c(40,40,20)t(48,16,12)s(32,24,20)+s(24,16,20)c(32,24,20)*--
s(16,40,20)t(48,56,12)c(32,48,12)+-s(8,32,12)s(16,16,12)+-
c(48,24,12)s(24,24,12)+s(24,16,20)s(40,40,28)s(24,24,28)*-+
s(40,40,20)t(24,40,28)t(40,40,20)s(24,48,20)s(32,40,20)*+*-
s(24,48,20)s(32,24,20)s(24,24,12)-s(32,16,20)t(40,24,20)-+-
s(24,24,20)s(48,32,20)c(32,40,12)-s(40,24,20)s(48,24,20)++*
t(16,56,12)s(32,24,20)+t(32,40,28)t(40,32,20)+s(16,48,20)-+
t(48,48,12)s(32,32,12)+t(48,24,12)t(32,32,20)++c(40,40,12)+
t(32,40,28)s(24,40,12)-t(32,40,28)s(8,24,12)c(32,40,12)+-*
t(24,40,20)c(40,24,20)t(48,40,12)-t(24,32,28)+s(32,32,28)**
s(16,48,20)t(24,48,12)-s(32,48,20)-s(32,24,20)s(16,24,20)*+
s(24,32,20)s(24,40,28)s(32,40,28)t(24,32,28)s(16,24,20)-*-*
t(32,32,28)c(40,24,20)+s(16,40,12)-t(24,40,28)t(32,16,12)+*
c(40,32,20)t(32,40,28)t(32,48,28)*+t(32,24,20)-s(24,40,20)*
c(32,24,20)c(24,24,20)s(24,32,20)*s(24,8,12)++s(32,40,20)-
c(24,48,12)s(32,40,12)+c(48,16,12)+t(24,40,28)c(16,24,12)-+
t(32,40,28)t(24,48,20)t(40,40,12)+c(48,40,12)-*s(48,8,12)+
s(32,48,20)s(40,40,20)c(16,32,12)+s(24,40,28)**c(48,40,12)+
t(24,32,28)s(24,40,28)*t(40,56,12)s(24,24,28)c(16,40,12)-+-
s(40,24,28)c(32,32,28)t(40,32,20)-s(24,24,28)c(24,40,12)-+*
s(40,24,28)s(24,24,28)s(8,24,12)-t(32,56,12)+-c(16,16,12)+
s(48,24,12)s(48,16,12)+s(24,32,20)c(32,32,20)+c(48,48,12)++
c(24,32,20)s(32,40,20)t(40,24,20)-s(24,40,20)+s(16,32,12)-*
s(40,16,20)s(32,32,28)*s(48,32,20)+s(40,40,20)t(32,32,20)++
c(40,40,12)s(16,32,20)+s(24,32,28)c(40,24,20)s(48,24,20)*-+
c(32,32,28)s(48,24,20)*t(24,32,12)+c(40,40,20)s(24,32,12)+*
s(40,32,28)s(32,24,28)*s(24,16,20)c(16,32,12)-+s(16,24,20)*
c(32,24,20)s(32,32,28)t(24,40,28)**s(48,32,12)+s(40,24,20)*
t(32,40,28)c(40,32,20)*t(32,32,20)t(40,56,12)+c(40,40,20)**
c(32,32,20)c(48,16,12)s(24,16,20)+s(32,24,28)*s(24,40,20)-+
s(16,16,20)c(40,32,20)s(24,32,20)*-t(32,40,12)+s(8,32,12)-
c(40,40,20)s(32,40,28)*t(24,32,20)-s(40,40,28)s(48,48,20)**
c(16,32,12)t(32,32,20)t(48,56,12)+c(48,16,12)++s(24,24,28)*
c(24,40,20)s(32,40,28)c(24,40,20)+c(40,32,12)-s(24,40,28)*+
c(32,32,20)s(40,32,28)s(48,48,12)-s(40,24,20)c(48,40,12)-*-
s(32,24,20)t(24,32,28)s(48,40,20)t(48,40,12)-+*t(32,16,12)-
s(24,40,20)t(32,32,28)t(40,24,20)-*s(40,48,20)t(48,56,12)-+
s(24,24,28)s(40,16,20)-s(40,32,20)t(24,32,28)c(40,32,20)**-
c(32,40,12)t(24,48,28)+s(40,40,28)+c(24,40,20)*s(24,16,20)-
s(16,32,12)s(32,8,12)+s(40,48,12)+s(40,8,12)s(32,32,28)+*
s(40,40,20)s(16,32,12)+s(40,40,28)*t(32,48,28)c(40,32,20)*-
t(40,24,20)s(48,48,12)t(24,40,28)s(16,48,20)c(32,16,12)+-++
t(24,32,28)c(32,32,28)c(24,32,20)s(16,40,20)+*s(40,40,20)*-
c(40,24,20)c(40,32,12)t(40,48,20)+c(32,24,20)c(48,16,12)-+*
c(32,32,20)c(32,40,20)*t(24,24,12)-s(40,32,28)c(32,24,12)-*
c(24,40,20)s(24,40,28)s(24,24,28)*s(48,24,12)s(8,32,12)+-*
s(16,32,20)c(40,32,20)t(32,32,28)s(24,40,12)-c(40,16,12)+*-
c(24,32,12)t(40,16,12)+t(32,40,28)s(32,24,20)-c(24,40,20)*-
t(32,40,28)c(32,32,20)c(32,40,20)*s(16,32,12)+c(16,24,12)-+
s(24,40,28)s(24,32,12)-t(32,24,20)s(16,48,20)t(24,40,28)*+*
s(32,48,12)t(32,32,20)t(16,56,12)s(32,32,20)+s(32,48,12)-*+
s(48,16,12)t(24,32,28)c(16,48,12)-t(24,40,28)s(24,32,20)**+
s(24,40,20)t(40,40,20)+s(24,24,20)*s(40,32,12)+s(24,24,28)*
t(24,40,28)s(24,24,20)t(24,40,12)+s(40,16,12)+*t(32,32,28)*
s(32,40,28)s(32,16,20)c(32,32,28)*-s(48,40,20)t(24,40,12)+*
s(32,24,28)s(40,24,12)t(32,32,12)+-c(40,24,20)t(24,40,12)+*
s(40,24,28)c(32,40,12)-s(24,24,28)c(32,24,20)-s(32,32,28)+*
t(16,32,12)c(32,40,20)t(32,56,12)t(32,40,20)t(16,48,12)++*+
s(32,24,28)s(40,40,20)s(16,48,12)+s(32,32,20)c(16,16,12)-*-
s(16,32,20)t(40,16,12)+s(40,48,20)c(32,40,20)*+s(48,24,20)+
s(40,32,20)s(40,24,20)*c(40,32,20)s(48,16,20)-+t(32,32,28)*
s(40,32,28)c(24,32,20)s(48,48,12)s(16,24,20)+-*s(32,16,12)-
c(16,24,12)s(40,40,28)t(40,24,20)-s(24,48,20)*+s(40,48,20)-
s(16,24,20)s(32,24,20)s(24,24,20)s(24,40,28)t(32,48,12)-*--
s(32,32,28)t(32,48,20)c(32,24,20)+c(32,40,20)t(24,32,20)-*+
s(40,32,28)c(24,32,20)s(24,40,28)s(40,24,28)+s(16,16,20)-**
t(16,40,12)c(24,24,20)s(24,24,28)s(40,40,28)s(40,24,28)*-*+
s(32,24,28)t(40,24,20)s(24,24,12)+s(40,32,28)*s(16,8,12)++
c(24,24,20)s(8,24,12)-s(8,40,12)s(48,16,12)++t(24,32,12)-
s(32,32,20)t(48,56,12)s(24,24,20)+c(24,24,20)s(24,16,20)**-
s(16,40,20)t(40,16,12)+t(32,24,12)t(40,16,12)t(16,48,12)++-
c(32,16,12)c(32,32,20)s(48,48,12)+s(40,32,28)*t(24,24,20)-+
s(48,40,12)t(32,40,20)t(24,48,12)-+s(40,32,20)+t(24,48,12)+
c(16,24,12)c(48,48,12)s(8,40,12)++c(32,32,28)*s(24,24,28)*
s(32,32,28)s(16,32,20)s(32,32,12)-*t(48,56,12)+c(24,40,12)-
s(48,40,20)s(32,48,20)s(40,8,12)+c(32,16,12)-s(16,32,20)--
s(48,32,12)t(16,56,12)s(40,40,20)t(40,32,12)-+c(24,24,12)-+
s(48,32,12)t(32,48,12)s(24,16,20)+t(48,56,12)++t(32,16,12)-
c(32,40,12)t(24,32,28)s(32,16,20)c(32,24,20)*t(32,32,28)*-+
c(24,40,20)t(32,40,28)*c(32,24,20)c(40,32,20)s(40,24,12)-*-
s(40,32,28)c(24,40,20)t(32,32,28)*s(32,48,20)c(32,32,12)--*
t(32,32,28)s(16,24,20)s(48,32,20)c(24,48,12)++*t(24,40,28)*
t(24,32,28)c(32,40,20)t(48,48,12)-c(32,32,20)+*s(32,8,12)+
s(32,40,28)s(48,16,20)-s(16,24,12)+s(40,32,28)*c(24,40,12)-
t(40,32,20)s(32,24,20)c(40,40,20)s(24,48,20)*-s(48,8,12)++
c(32,24,20)c(32,32,20)t(32,40,28)*-s(40,16,20)t(24,48,12)+*
s(24,32,28)c(48,24,12)t(24,48,28)s(24,40,20)+s(32,40,20)++-
t(40,56,12)s(40,32,20)+s(40,24,28)s(16,24,20)+*c(40,48,12)-
s(32,8,12)c(16,40,12)c(32,40,12)s(32,16,20)++t(32,48,28)*+
c(32,24,20)s(24,32,28)s(32,40,28)-+c(32,32,28)s(48,24,20)-*
s(48,16,20)s(24,16,20)s(32,24,20)s(24,24,20)*t(32,16,12)---
c(32,40,20)s(32,32,28)*s(40,40,20)s(24,32,12)+c(24,40,12)-*
s(16,16,20)s(40,32,20)+t(24,24,20)-s(40,40,28)t(48,24,12)--
s(32,40,20)c(16,48,12)c(40,32,20)c(40,24,12)-+c(40,40,20)*-
c(48,32,12)s(40,16,20)s(32,24,12)-t(48,32,12)++c(32,24,20)+
c(24,40,12)t(40,40,20)s(24,40,12)-+s(32,48,12)s(24,40,12)+*
s(40,40,20)c(48,24,12)-c(40,32,20)s(40,40,28)*s(24,40,28)**
c(32,32,28)c(40,24,12)-s(40,40,28)*c(40,24,12)s(24,48,12)+-
s(24,40,20)s(24,24,20)c(16,40,12)-s(48,16,20)c(40,24,20)+*-
s(16,24,20)t(24,48,28)+s(16,32,20)s(16,40,20)**s(48,40,12)+
c(24,32,20)s(48,32,20)t(40,16,12)-s(24,24,28)t(24,16,12)-++
s(32,16,20)t(24,24,20)+c(32,32,28)t(24,48,28)s(16,48,12)--*
t(40,48,20)t(24,24,20)+t(24,32,28)*c(40,24,20)t(24,24,20)-+
t(32,48,12)c(32,16,12)s(40,24,28)s(32,32,28)*+s(32,40,28)*+
s(16,16,20)c(32,32,28)t(32,32,28)s(24,16,20)+*s(32,24,28)*+
t(24,48,28)s(16,24,20)t(16,24,12)s(40,16,12)++s(16,32,20)*-
s(16,24,20)t(32,24,20)-s(8,8,12)-t(40,48,20)c(24,48,12)-+
s(32,32,28)s(16,16,20)s(40,16,20)--s(40,40,28)*s(24,32,28)*
c(32,32,20)t(24,32,28)s(24,40,20)--s(32,32,28)t(32,40,28)**
c(48,48,12)c(48,40,12)s(16,32,20)c(16,32,12)s(24,16,12)+*++
s(40,40,20)t(24,48,28)s(32,40,28)*-s(8,24,12)+s(48,24,20)-
t(32,24,20)t(24,48,12)s(48,40,20)s(32,16,20)+t(40,48,12)-+*
t(32,40,28)t(48,24,12)+s(40,16,20)t(32,40,28)--s(24,40,20)*
s(8,48,12)s(24,48,20)s(40,24,20)+s(40,16,12)-s(16,48,20)*+
s(32,24,20)s(32,40,20)*s(24,48,20)t(40,24,20)+s(48,32,20)-+
s(8,32,12)t(40,48,20)+c(40,40,20)t(24,16,12)t(32,24,20)++*
s(40,32,28)c(24,48,12)-s(32,16,20)c(32,40,20)+s(24,24,12)--
s(16,32,20)c(40,40,20)s(48,32,20)s(32,24,28)s(24,16,20)-*-+
s(40,16,20)s(32,40,20)s(40,48,20)*s(40,16,20)+c(24,32,20)*-
s(40,24,20)c(24,16,12)t(48,56,12)++c(40,32,12)t(32,40,28)+-
s(24,32,12)s(40,32,28)t(24,48,28)+c(32,32,12)-+s(32,40,28)*
s(16,24,20)s(24,32,20)+s(32,32,28)*c(48,16,12)c(40,32,20)+*
c(24,40,12)s(40,40,28)t(32,40,20)-+t(32,48,20)+c(40,40,20)*
s(8,32,12)t(16,40,12)+t(24,48,20)t(32,32,20)++c(40,48,12)-
s(32,32,28)t(24,48,28)-s(40,24,20)s(32,32,20)t(48,24,12)++*
s(24,40,20)c(40,32,12)t(16,24,12)+c(24,16,12)-s(40,16,20)+-
s(32,24,20)s(48,48,12)c(24,40,20)+*t(40,32,20)+c(24,32,12)-
c(16,32,12)c(24,24,12)+s(24,24,28)t(24,40,28)-+c(32,40,12)-
s(32,16,20)s(24,32,12)-s(40,16,20)+c(40,24,12)-s(40,32,20)-
c(40,24,20)s(40,8,12)-c(40,32,20)*s(24,24,20)-s(40,32,20)*
c(32,32,28)c(48,48,12)-c(40,24,20)t(32,32,28)s(24,24,20)*-*
s(48,16,20)t(32,16,12)-s(16,24,20)+s(24,32,28)t(24,32,12)-+
c(32,32,20)s(16,48,20)+c(40,16,12)+c(24,32,20)c(24,24,12)-*
s(32,24,28)s(24,48,12)+t(24,24,12)-s(32,16,20)*c(40,24,20)+
t(48,56,12)c(40,32,20)+s(40,32,28)*t(32,40,20)-s(24,32,12)+
t(24,48,28)s(16,32,20)c(24,24,12)-t(40,48,12)+c(24,32,20)*-
s(40,24,20)s(24,32,28)s(24,32,20)--t(24,48,12)+s(32,32,28)*
c(32,32,20)c(32,16,12)-s(48,48,20)c(40,32,20)-+t(24,48,28)*
t(40,40,20)c(40,24,20)c(24,24,12)s(40,32,12)+*+c(40,16,12)-
t(40,48,20)t(24,32,28)s(24,48,20)*-t(32,24,12)+c(40,40,12)-
t(32,32,28)s(16,24,12)t(32,40,28)c(24,24,20)*+c(32,40,12)+*
s(40,24,28)c(32,40,20)s(32,16,20)+s(32,48,20)t(32,40,20)--*
s(24,32,28)c(40,40,20)t(40,56,12)-t(16,48,12)c(16,16,12)++*
c(40,40,20)s(48,40,20)s(16,40,20)t(24,32,20)c(40,32,12)--+*
s(16,16,20)s(16,40,20)-s(40,32,28)-s(40,40,20)+c(32,32,28)*
s(16,32,20)c(48,16,12)s(16,40,20)s(40,32,28)-s(40,40,20)++*
s(40,24,28)c(24,40,12)-t(40,24,20)c(40,40,12)-t(32,32,28)+*
c(40,32,20)t(32,48,12)c(24,24,20)+c(32,16,12)t(32,32,20)+**
s(40,24,20)s(40,40,28)s(48,40,20)c(40,32,20)++*c(32,32,20)*
s(24,40,20)t(40,40,20)t(48,24,12)+t(24,40,28)-s(40,40,20)+-
t(32,40,28)s(32,32,28)s(32,24,20)c(32,32,20)t(24,40,20)*-*+
s(32,40,12)s(48,40,20)+s(40,24,28)s(48,40,20)*s(40,16,12)++
t(24,40,28)s(32,32,12)-s(40,40,20)-s(48,48,20)s(48,32,20)*+
c(40,24,20)s(48,40,12)-s(40,40,28)c(16,16,12)+*s(32,24,28)*
t(32,40,28)t(40,16,12)+s(24,24,20)+t(24,32,28)s(48,40,12)+*
t(48,40,12)t(32,24,20)s(16,24,20)++c(40,24,12)-c(24,40,12)-
s(32,48,12)t(24,40,28)t(32,24,20)-c(40,24,12)+c(24,24,20)-+
s(24,24,20)c(32,24,20)s(24,24,28)*s(24,48,20)-*c(24,40,20)+
s(24,32,28)s(16,16,12)-s(32,24,28)+c(40,48,12)-s(24,24,28)*
s(32,48,20)s(48,24,12)+c(40,40,20)s(32,32,20)*c(24,48,12)-+
t(32,40,28)s(32,24,20)t(32,48,12)c(40,24,20)+*t(40,24,20)+-
s(40,32,28)c(32,48,12)-s(24,24,28)+c(16,32,12)-s(24,40,28)*
t(40,40,12)t(48,48,12)+s(8,16,12)+s(8,24,12)s(24,16,20)+-
t(40,40,20)s(24,40,28)t(16,24,12)-+s(24,48,20)-s(40,32,20)*
c(24,32,12)s(40,24,12)+t(40,16,12)-s(48,48,20)s(48,32,12)-+
t(24,40,28)t(32,40,28)t(48,32,12)++s(8,24,12)t(40,40,20)++
s(24,32,20)c(16,48,12)-s(48,32,12)s(32,16,12)t(40,48,12)+++
s(32,40,20)s(8,48,12)+s(16,48,20)s(32,48,20)t(24,48,28)*--
t(32,32,28)s(32,32,20)s(48,16,20)+*c(48,40,12)+t(24,40,28)*
c(24,24,20)s(40,32,12)t(24,24,20)+t(24,48,28)-*t(24,56,12)+
c(24,32,20)t(32,40,28)*s(16,32,20)s(24,40,20)*s(8,48,12)--
c(40,40,20)t(24,48,28)t(32,32,28)t(32,48,28)s(48,48,20)*+*+
s(32,40,20)t(24,24,20)s(32,40,12)+t(48,32,12)c(24,24,20)+*-
s(8,32,12)t(32,48,28)s(16,48,20)-s(40,40,20)*+c(40,16,12)+
c(24,32,20)s(32,40,20)s(48,32,20)c(48,48,12)-c(32,24,20)*+-
c(24,24,20)s(24,24,20)s(24,32,20)*t(24,16,12)c(32,40,20)+*-
c(40,16,12)c(24,40,12)+c(32,40,20)*c(16,24,12)s(24,32,20)+*
s(24,24,20)s(24,40,28)s(24,16,20)t(24,48,20)+s(24,32,28)-+*
s(40,24,28)t(40,24,20)s(24,24,28)c(24,32,20)--t(32,48,28)+*
s(32,32,20)s(24,24,20)s(16,48,20)+t(16,56,12)-s(32,24,28)**
s(32,48,20)c(32,32,28)*c(40,24,20)s(24,24,20)*-t(32,40,28)*
s(16,40,20)c(24,24,20)-c(40,40,20)+c(40,32,20)t(24,32,28)**
s(32,32,28)s(32,24,28)c(32,40,12)s(48,32,12)+-s(32,16,20)**
t(48,56,12)c(40,24,12)s(24,40,28)+s(40,48,20)*s(24,24,12)++
s(32,24,28)s(24,32,28)s(16,48,20)+s(40,48,20)-*c(16,24,12)-
s(32,40,28)s(32,24,20)*s(16,32,12)+t(24,40,28)*c(48,32,12)+
c(40,32,12)t(40,16,12)+t(40,48,20)+t(40,48,12)-t(32,56,12)-
t(32,48,28)s(24,32,28)*t(40,24,20)t(32,32,28)+*t(24,40,12)+
s(32,24,28)s(48,32,12)-s(32,32,28)c(32,32,20)s(16,48,20)+*-
s(16,48,12)s(24,40,28)s(24,32,28)*c(32,16,12)+s(40,24,28)-+
t(40,48,20)t(40,24,12)+t(24,48,20)-t(48,48,12)+t(32,32,20)+
s(32,40,20)t(24,48,20)s(24,48,20)s(16,48,20)**+s(40,32,20)*
s(32,48,20)s(40,24,20)c(40,40,20)*s(16,48,12)+c(40,32,20)*-
s(24,32,12)s(48,48,20)s(40,24,28)s(48,32,20)+*+t(48,48,12)-
t(24,48,28)s(40,32,20)+s(24,32,20)s(16,40,12)--s(32,40,20)-
t(32,32,20)s(48,40,20)s(24,32,28)-t(40,48,20)+c(40,48,12)--
s(32,40,28)s(48,32,12)-s(24,24,28)c(32,32,12)-t(40,48,12)+*
s(24,32,28)c(32,16,12)c(16,32,12)+s(32,24,28)**s(32,40,28)*
c(32,32,12)t(40,16,12)+t(32,40,20)+s(48,48,12)-t(24,32,28)*
s(40,32,28)t(32,32,28)s(32,40,28)**s(32,24,28)s(48,24,20)*-
t(40,48,12)t(32,40,28)t(24,40,20)*t(40,32,12)t(32,32,20)+++
s(32,40,20)s(32,24,28)s(48,16,20)*s(32,24,20)+s(32,16,20)*-
s(16,16,12)s(24,32,20)c(40,32,20)s(24,16,20)+*+c(32,32,20)*
s(48,16,12)s(40,8,12)s(40,32,20)+c(32,32,20)*+s(24,32,20)-
s(40,48,20)t(24,32,28)-c(16,48,12)+c(24,48,12)s(8,40,12)++
s(32,32,20)s(48,40,20)s(48,40,12)s(32,40,12)+*+s(40,48,12)-
s(32,24,20)c(48,32,12)-s(32,16,20)c(32,40,20)t(32,40,28)*-*
t(32,32,20)s(40,40,28)*s(32,40,20)s(40,8,12)t(24,40,20)+*+
c(24,24,20)t(32,32,28)c(24,40,12)--s(24,48,12)-s(32,24,28)*
s(24,24,20)c(48,48,12)s(32,32,28)+*c(24,24,20)s(24,40,28)**
t(24,48,20)s(40,40,28)t(32,32,28)c(32,32,20)**+s(32,48,20)*
c(32,32,20)c(40,40,20)*s(40,24,12)s(24,48,20)+s(32,32,20)**
s(16,16,20)s(32,8,12)-s(40,40,20)+s(48,32,20)+c(40,32,20)-
c(24,24,20)t(40,24,20)c(16,40,12)s(8,24,12)++t(24,48,20)--
s(32,32,20)s(32,48,12)-s(32,24,20)s(48,16,20)-+c(24,40,12)+
t(16,56,12)t(32,48,20)+s(32,16,12)t(24,48,20)+*s(48,40,12)+
c(32,32,20)s(40,32,20)s(48,40,20)t(24,48,28)-*-s(32,40,28)*
s(16,32,12)s(48,40,12)+s(16,40,20)s(24,32,28)*s(16,16,20)++
t(40,32,12)s(24,24,28)s(40,24,20)-c(24,24,12)++s(24,16,20)-
s(24,16,20)t(24,32,28)c(32,16,12)-c(24,32,20)*-t(24,24,20)+
c(32,32,20)t(32,40,28)*s(32,24,28)+s(40,32,28)t(24,32,28)-*
s(40,24,28)s(40,16,20)-c(24,24,12)+t(48,16,12)+c(40,32,20)*
s(32,16,20)s(48,16,20)*c(24,24,12)s(48,24,12)+c(40,32,20)++
s(32,16,20)t(48,16,12)c(32,40,20)+c(24,24,12)+c(48,16,12)--
s(32,40,28)t(32,32,20)s(24,32,20)*c(24,16,12)++c(48,16,12)+
s(32,40,20)s(48,24,20)s(32,32,28)*-t(24,40,20)+t(32,48,28)*
c(32,40,20)s(24,40,20)*s(40,32,28)s(32,32,28)t(24,32,28)***
s(32,40,12)s(40,16,20)c(24,40,12)+t(32,24,20)c(48,32,12)+*+
s(40,24,28)t(24,24,20)+s(32,40,28)s(48,40,20)s(40,48,12)--*
s(32,48,12)t(24,40,28)s(32,24,12)+s(32,32,20)*+t(32,48,28)+
s(32,40,28)s(40,24,28)-s(24,48,20)s(8,40,12)t(40,40,12)++*
c(40,24,20)t(32,40,28)s(40,8,12)+s(32,24,28)s(16,32,12)-**
s(40,40,28)c(32,40,20)*c(32,24,20)*s(40,48,12)+s(48,40,20)*
s(24,48,12)s(40,48,20)t(32,40,28)c(32,40,12)-t(24,40,20)-++
t(32,48,12)t(32,24,20)+s(24,16,12)+s(16,16,20)-t(32,32,28)*
t(48,56,12)t(32,48,20)s(24,40,28)s(40,40,28)s(32,40,20)--*+
c(16,16,12)s(8,40,12)+c(32,40,20)s(24,32,20)*-c(48,24,12)+
s(40,40,12)s(24,48,12)+t(48,16,12)c(16,32,12)+s(32,32,28)+*
s(32,16,20)s(32,40,28)+c(40,40,20)s(40,24,12)-t(32,48,12)--
c(40,32,20)c(32,32,20)s(32,40,28)*t(32,40,28)**s(48,48,12)-
c(24,40,20)s(24,32,20)c(24,16,12)+c(40,24,20)s(32,32,12)---
s(24,24,28)c(40,16,12)-s(24,16,20)s(32,16,12)s(16,48,20)+-*
s(32,32,28)t(32,32,28)s(24,24,12)-s(24,32,12)-*s(24,40,12)-
t(32,32,28)s(32,40,28)*c(16,48,12)t(24,56,12)+-t(16,32,12)+
t(32,32,20)s(24,40,28)*c(48,48,12)s(16,16,20)+c(24,24,20)*+
s(32,24,28)s(40,32,20)s(8,32,12)t(32,32,28)++t(40,32,12)-*
t(16,48,12)s(40,48,20)t(32,48,20)*+s(16,16,12)s(16,40,12)+-
s(8,24,12)c(32,32,20)+s(40,40,28)s(40,24,28)+*t(32,48,12)-
s(24,24,28)s(24,40,20)s(32,40,28)s(24,48,20)**-c(40,24,20)-
c(40,24,20)c(16,48,12)+s(32,32,20)s(8,48,12)c(32,24,12)++*
c(32,24,20)s(48,24,20)*s(40,8,12)+s(48,32,20)t(32,32,28)*-
c(48,40,12)t(40,48,12)+t(24,32,12)+s(40,48,20)s(24,24,12)++
s(24,32,28)s(24,32,20)-s(8,32,12)-t(32,40,28)s(24,24,12)-+
c(32,40,20)s(32,32,28)*c(32,40,12)-s(24,24,28)s(48,48,20)+*
s(32,40,20)c(48,32,12)+s(40,24,12)+c(24,32,20)c(32,40,20)**
s(32,32,28)s(48,32,20)t(48,56,12)+c(40,32,20)*-t(32,56,12)+
c(24,40,20)s(32,24,28)s(48,16,20)-s(40,32,12)-s(32,32,28)*+
s(48,24,12)s(32,40,20)t(24,32,20)+s(16,32,20)s(32,8,12)+*+
s(24,48,20)s(24,40,12)-t(32,32,28)t(24,40,28)c(24,48,12)-*-
t(24,32,28)t(40,24,20)-s(32,48,20)-s(16,16,12)+s(16,24,20)*
c(32,32,20)s(8,16,12)s(16,40,20)c(16,40,12)-t(32,24,12)-+-
t(24,40,20)t(40,48,12)t(32,32,28)+s(48,48,20)s(24,40,20)--*
c(24,40,20)s(16,8,12)+s(16,40,12)-c(40,32,12)-s(16,16,20)*
s(16,24,20)t(48,56,12)c(32,32,20)s(40,24,20)*c(24,32,20)*+-
s(40,32,28)c(32,32,12)-t(48,32,12)-s(48,16,20)-t(40,32,20)-
t(48,24,12)s(16,40,20)s(24,16,20)s(16,40,20)-t(24,48,28)+*+
s(48,48,20)s(32,24,28)s(40,24,12)-+s(48,32,20)+s(24,32,20)*
s(48,40,12)s(40,16,12)+t(32,32,28)s(40,32,12)-+s(16,16,20)-
c(24,32,20)s(32,48,20)c(40,40,20)s(40,32,12)-*c(16,48,12)--
s(24,48,20)s(32,32,20)c(40,24,20)*+t(24,32,28)*c(32,24,12)+
s(16,32,20)t(24,48,28)s(24,32,12)--s(24,32,20)t(48,48,12)+*
s(32,40,12)c(24,40,12)s(40,24,28)+t(24,40,20)*+c(32,24,12)+
c(32,40,20)s(32,40,28)s(24,32,28)*t(32,32,12)-s(48,32,12)+*
t(40,40,20)c(32,24,20)t(48,48,12)t(32,24,20)s(16,40,20)+++*
c(24,32,20)s(32,32,20)c(24,32,12)t(40,48,20)+c(32,40,20)**-
c(32,24,20)s(48,40,20)s(16,8,12)+c(32,40,12)-s(32,40,28)++
c(40,40,20)s(40,24,28)c(32,32,20)c(40,32,20)+t(40,40,20)-+*
s(40,24,28)s(40,32,28)*s(24,24,28)*s(16,16,12)c(40,16,12)+-
c(40,32,20)s(40,40,20)s(48,32,20)*-c(32,40,20)+s(48,24,12)-
t(24,48,28)t(32,48,28)s(32,32,28)s(32,48,20)*t(24,32,12)--*
s(48,16,20)t(40,24,12)-t(32,56,12)+s(16,32,20)+s(24,24,20)*
c(24,24,20)s(48,32,20)t(40,56,12)+-c(40,24,20)s(40,40,28)--
c(40,32,20)s(40,40,28)c(16,32,12)+s(16,24,20)s(24,8,12)-+*
s(40,24,12)s(48,40,12)s(24,32,20)+s(40,40,20)*t(24,32,20)++
c(32,40,20)s(16,8,12)s(16,32,12)+-s(40,32,20)t(32,48,20)+*
s(40,24,28)s(32,48,20)c(32,32,20)t(40,24,12)c(16,24,12)+*+*
s(48,32,20)c(32,48,12)s(16,48,20)t(24,48,28)s(32,32,20)+*++
s(24,40,20)c(24,24,20)s(8,16,12)s(8,8,12)+-s(48,24,12)++
s(32,24,20)t(24,32,28)*c(32,40,20)+s(40,32,20)+s(32,48,20)*
c(40,40,20)s(24,8,12)s(16,40,20)+-c(40,24,12)s(24,48,20)+*
s(40,24,28)t(16,16,12)t(32,32,28)+c(48,32,12)--c(40,24,20)*
s(24,32,20)t(40,48,20)t(32,32,20)c(32,24,20)s(40,32,20)**-+
s(32,40,20)t(40,48,12)-t(32,40,28)c(24,48,12)-s(40,16,20)--
s(40,24,28)c(24,40,12)s(24,16,20)++t(24,40,28)-s(32,24,28)+
t(32,56,12)s(48,24,12)t(24,24,20)s(48,32,20)+t(40,32,20)*++
s(16,32,20)s(16,24,20)*s(48,40,20)+s(32,24,20)s(32,40,20)++
s(40,32,28)s(32,32,12)-c(40,16,12)c(40,40,20)t(32,40,28)-++
c(32,40,20)c(16,24,12)-t(40,32,12)-s(32,32,28)*t(40,48,12)-
t(24,32,28)t(32,40,20)t(48,56,12)s(24,32,28)+t(32,24,12)-*-
c(40,32,20)s(40,40,28)t(32,16,12)c(32,40,20)t(24,32,12)-+-*
c(48,24,12)s(48,40,12)+t(24,32,28)-s(24,40,28)t(32,32,20)*+
t(32,48,28)t(24,40,20)s(40,40,28)+c(48,16,12)+s(24,16,12)+*
c(16,16,12)t(32,24,20)+s(40,24,28)c(24,16,12)t(32,48,28)+*-
c(40,32,20)s(48,40,20)t(24,48,28)t(40,48,12)+-*s(48,16,20)+
s(16,32,20)s(48,48,20)t(16,32,12)c(48,48,12)+c(24,24,20)--+
s(40,24,20)c(48,32,12)s(16,8,12)+-s(40,32,12)+c(24,32,12)-
s(48,48,12)s(24,32,28)c(16,32,12)-t(24,24,12)-t(32,40,28)-+
c(24,24,20)c(32,40,20)*s(40,48,12)s(16,16,20)++s(8,24,12)-
s(48,32,12)c(32,24,20)+s(40,48,20)c(24,24,12)+t(24,24,20)*-
s(16,32,12)s(48,32,20)+c(24,40,20)s(32,48,12)t(40,32,20)+*-
s(24,48,12)c(48,40,12)+s(48,24,20)s(40,32,28)*c(24,16,12)+-
c(24,40,20)c(24,24,20)-s(16,8,12)+s(16,32,20)c(48,48,12)++
c(32,32,28)s(48,40,20)-s(24,48,20)s(8,48,12)-+c(32,32,20)*
t(32,24,20)s(16,32,20)s(48,24,12)+c(32,32,12)-c(48,32,12)--
c(24,40,20)s(48,48,12)+s(32,32,28)*s(32,24,28)*s(48,40,12)-
t(32,32,20)c(32,16,12)+c(40,16,12)t(16,32,12)+-t(32,24,12)-
s(24,40,12)s(40,40,20)s(8,48,12)s(40,16,20)+s(40,24,28)*-+
c(32,32,20)c(32,32,12)t(24,40,20)t(24,32,28)*+-s(32,8,12)-
s(48,40,20)c(32,32,20)s(24,16,12)-s(24,48,20)-+c(40,40,20)*
c(32,24,20)s(48,24,12)-c(24,24,20)s(40,16,12)-t(24,24,12)-*
t(32,48,28)c(24,48,12)-c(32,32,12)+s(16,8,12)+c(32,24,20)*
s(24,40,28)c(24,32,20)t(40,48,20)-s(24,24,28)*c(40,32,20)*-
s(40,16,20)s(40,24,28)c(32,24,12)-s(32,48,12)t(24,24,20)++*
s(32,32,20)t(24,24,20)-s(24,32,28)t(24,48,20)c(40,32,20)+**
c(32,16,12)s(8,48,12)s(48,8,12)++c(32,32,28)s(32,40,20)-*
s(40,32,12)t(24,16,12)c(16,32,12)++c(32,32,20)t(24,48,20)-*
s(32,8,12)c(32,24,12)+s(40,16,20)s(48,8,12)-c(24,32,12)-+
s(32,24,28)c(24,16,12)-c(24,32,12)-s(32,40,28)s(32,24,20)*+
s(48,16,20)s(40,40,20)c(40,40,20)c(24,40,12)c(48,40,12)+**+
t(16,32,12)s(32,24,28)c(48,40,12)s(40,16,20)+*c(24,40,20)-+
s(16,32,20)c(32,32,28)*s(32,40,28)s(24,32,28)t(40,24,12)-**
s(40,32,20)c(16,32,12)t(32,32,28)+*c(32,32,12)s(40,24,12)+*
t(32,40,28)s(32,32,20)c(48,40,12)s(40,48,12)++*s(24,24,12)-
s(24,24,28)s(24,48,20)s(32,40,28)*t(40,40,12)-s(32,16,20)+*
s(24,24,20)s(32,24,20)*c(48,40,12)+s(32,40,28)*s(32,16,12)-
s(32,40,20)s(16,32,20)s(24,24,20)*-c(32,32,20)t(40,24,12)-*
t(24,24,12)s(16,32,12)t(40,48,20)+c(32,40,12)-+s(32,32,28)*
s(24,24,20)s(16,32,20)*t(32,48,20)+t(24,32,28)c(24,24,20)*-
c(40,40,20)s(48,8,12)s(24,32,28)+s(32,40,20)**c(40,16,12)+
s(48,32,20)c(24,32,20)s(48,48,20)+s(16,32,20)-*t(24,32,12)+
s(24,24,12)c(16,40,12)s(40,32,20)c(32,40,20)s(32,16,12)+*++
t(32,40,28)s(32,32,28)t(24,48,28)-s(24,16,12)--t(16,48,12)-
c(32,40,20)c(48,24,12)c(32,24,20)s(32,16,20)*t(24,40,20)-+-
s(16,32,20)s(16,48,20)*s(40,32,28)+c(40,24,12)s(24,24,12)+*
s(40,24,28)s(24,32,28)-c(40,48,12)+c(40,24,20)+c(24,40,20)-
c(16,24,12)s(16,8,12)+t(32,24,12)+s(40,40,28)-s(32,32,20)+
s(40,24,28)s(24,24,28)*c(40,40,20)s(24,40,28)c(32,40,20)+*-
t(24,40,28)t(48,48,12)s(40,24,28)c(32,40,20)*+s(32,32,28)*-
t(32,32,28)s(40,40,20)+c(32,32,20)c(40,40,20)s(48,40,20)**-
s(24,48,20)c(24,24,20)c(32,32,28)s(32,40,28)s(24,48,12)--*-
s(32,48,20)s(40,40,20)s(32,32,28)c(24,16,12)-*+s(40,32,28)*
s(16,48,20)c(48,48,12)+c(32,32,12)+t(32,32,28)t(24,48,12)+*
s(32,32,28)s(16,40,12)-s(40,32,28)*c(40,40,20)t(32,24,12)--
s(8,40,12)s(48,48,12)s(16,16,20)+s(32,16,20)*+c(16,24,12)-
s(40,40,20)s(32,24,28)c(24,40,20)t(24,40,28)**+c(40,24,20)-
c(32,32,28)c(24,32,20)s(32,16,12)--t(32,16,12)t(24,48,28)+-
t(40,56,12)s(48,24,20)s(40,24,20)c(40,24,12)--+c(40,40,20)*
s(32,32,20)c(16,16,12)c(32,32,20)t(24,16,12)s(48,40,20)+*+*
s(16,32,20)s(16,24,20)+s(40,16,20)-s(24,24,28)*c(32,32,12)-
c(40,32,20)s(40,40,28)*c(32,40,20)t(32,48,28)*t(40,40,20)--
s(32,32,28)t(40,32,20)-s(32,48,20)+c(24,24,20)*s(48,16,20)+
c(16,16,12)t(40,24,20)s(48,8,12)+t(32,16,12)-+s(48,32,20)-
t(16,56,12)t(24,40,28)+t(32,56,12)s(32,40,20)+t(40,40,20)-*
s(24,40,20)s(40,48,20)s(40,32,12)s(32,16,20)+s(24,40,28)*+*
s(40,32,20)c(40,24,20)*c(32,24,20)t(32,24,20)-t(24,48,28)--
c(32,32,20)c(48,24,12)s(40,24,28)s(24,32,20)*+*c(32,48,12)-
s(40,40,28)t(32,40,20)-t(32,56,12)c(32,24,20)+*s(40,40,20)+
t(24,40,28)s(40,32,28)*t(32,48,28)c(40,48,12)-+c(40,32,12)+
s(48,48,12)s(24,32,28)+s(32,40,28)*t(32,32,28)c(40,32,20)**
c(32,32,20)c(48,48,12)-t(24,24,20)t(32,48,20)+*c(24,40,20)*
c(40,40,20)c(40,32,20)c(16,40,12)t(40,24,20)c(32,40,12)-+*-
s(40,40,28)c(24,40,20)c(32,40,20)*-s(48,16,12)+s(32,48,20)+
s(48,24,20)c(16,48,12)c(32,32,28)s(48,16,20)*+s(40,24,28)**
c(40,40,20)s(32,24,20)-t(24,48,20)t(24,32,28)+t(32,32,20)*-
t(16,16,12)t(32,40,28)s(24,32,20)c(24,16,12)c(40,32,20)+**+
s(24,24,12)s(8,48,12)+s(24,48,20)s(32,24,20)-s(40,24,28)--
c(40,40,20)s(32,24,20)t(24,16,12)-s(24,40,28)s(16,32,20)*+*
t(32,48,20)s(32,32,28)t(24,48,12)t(24,40,20)+c(24,24,20)+*+
t(16,48,12)c(24,24,20)+c(32,32,28)c(16,16,12)t(48,48,12)+--
s(40,24,28)s(16,24,12)t(16,56,12)s(40,24,28)+s(40,24,12)-++
s(24,24,28)s(24,48,20)-s(32,16,20)+c(24,24,20)s(40,8,12)+*
t(24,40,28)s(24,32,20)*s(24,40,20)t(16,32,12)-t(16,56,12)+*
t(24,48,20)t(48,40,12)s(24,40,20)+s(32,40,28)c(48,24,12)-**
s(24,24,20)s(40,24,28)s(40,48,20)s(16,48,12)+-c(32,32,12)+*
s(16,32,12)s(8,8,12)s(32,32,20)s(24,40,28)s(32,24,12)-*++
s(16,24,20)t(32,24,20)s(24,40,20)c(24,32,12)-+s(40,24,20)*+
s(32,32,28)s(40,16,12)-t(16,40,12)-t(32,40,28)c(40,40,20)*+
c(40,40,20)t(32,32,28)s(24,24,28)*c(16,40,12)+s(40,16,12)--
s(32,24,28)c(40,32,20)*t(32,16,12)-s(48,16,20)c(40,40,12)+*
s(24,32,20)s(32,8,12)+t(24,32,28)*s(8,16,12)+s(16,32,12)-
c(24,32,20)c(40,32,20)s(48,32,12)t(24,32,28)+s(32,16,12)+*-
s(32,48,20)c(24,40,20)t(24,32,28)*s(40,40,20)c(32,24,20)*+-
s(40,40,20)c(32,40,12)s(32,16,12)+s(40,32,12)-+t(40,32,20)-
s(32,24,28)s(40,32,28)c(24,48,12)-s(32,40,28)+*s(32,24,20)*
c(24,40,12)s(24,32,20)s(16,24,20)t(48,48,12)c(16,16,12)+--+
s(24,40,20)s(16,48,20)s(24,32,28)t(24,48,20)-t(32,48,28)+*-
s(48,48,12)t(32,32,28)s(24,24,28)t(24,32,28)--s(16,48,12)-+
c(32,32,20)c(24,24,20)s(24,48,20)+*s(32,40,12)t(32,16,12)+*
s(32,48,20)s(32,32,20)s(32,32,12)-+t(48,48,12)+t(32,32,28)*
s(32,24,28)s(32,32,28)s(40,48,20)+s(24,16,20)+c(24,24,12)--
c(24,40,20)s(24,24,20)c(32,40,12)--c(32,24,12)+s(24,32,12)-
c(32,40,12)t(32,24,12)+s(32,32,28)t(24,40,12)s(32,8,12)+-*
c(24,40,20)s(40,24,28)*s(40,32,28)s(16,48,20)s(40,48,20)+*+
s(32,32,28)t(32,40,28)c(32,24,20)--s(40,16,20)c(40,32,20)+*
s(40,24,28)s(32,32,28)t(24,48,20)+t(32,32,28)--s(24,32,28)*
t(24,24,20)t(40,24,20)+s(16,24,20)t(32,32,28)--s(8,40,12)+
c(32,32,20)c(40,40,20)*c(40,48,12)s(32,24,20)+*c(24,24,12)-
c(32,32,12)s(24,40,28)c(32,24,20)+t(32,16,12)s(48,40,20)+*+
s(24,24,20)t(40,40,12)+t(24,40,28)t(32,40,28)*-s(40,16,20)-
s(24,32,28)c(40,40,20)c(48,24,12)s(40,32,28)s(40,16,20)*+-*
s(16,24,20)s(40,40,28)s(32,32,20)c(40,24,20)*s(32,40,12)---
s(24,32,28)s(16,40,20)t(32,32,28)s(32,24,28)s(24,24,28)**--
c(40,24,20)s(32,32,20)*s(40,32,28)c(40,32,12)-s(40,16,12)-+
s(16,48,20)c(40,32,20)s(48,16,20)c(32,32,20)--s(24,8,12)++
s(32,24,28)s(48,16,20)-t(24,40,28)+s(40,32,20)t(32,40,28)*-
s(32,16,20)s(48,16,12)-c(40,40,20)c(24,40,20)s(40,48,12)-+-
s(16,32,20)t(16,32,12)-s(48,40,20)+s(32,40,20)s(48,40,20)*-
c(24,24,12)c(32,24,12)s(32,32,20)s(32,40,28)s(40,32,12)-*++
s(24,24,28)s(40,40,20)t(40,24,20)+-c(40,32,12)s(32,48,12)++
c(32,24,20)t(24,32,28)s(40,32,12)+c(16,40,12)t(32,48,20)+*+
c(32,32,20)t(16,32,12)-c(32,32,28)s(40,16,20)t(32,24,20)+*-
t(24,40,20)s(32,24,28)c(32,40,12)-t(32,40,28)c(32,16,12)---
t(24,40,20)c(40,24,20)s(16,32,20)-+s(40,32,20)s(48,40,20)*-
s(40,16,20)c(48,32,12)s(48,32,20)c(32,40,20)*+s(32,32,28)*-
s(40,16,20)s(40,40,28)s(48,32,20)*-s(8,32,12)+t(32,24,12)-
s(24,24,28)c(32,32,28)s(24,24,28)s(16,16,20)*c(32,32,12)--*
t(24,16,12)s(48,48,20)+s(24,40,28)c(40,40,12)-+s(32,32,20)*
s(40,40,20)c(16,40,12)t(24,48,20)+-s(24,48,20)+s(40,24,20)*
t(24,32,28)c(32,32,20)s(48,48,20)-s(24,24,20)c(40,40,12)+**
s(24,24,20)s(40,48,20)s(32,40,20)+s(32,24,20)t(40,40,12)+++
s(32,24,28)s(40,16,20)*c(32,32,28)t(32,32,28)t(40,16,12)+--
s(32,32,28)t(48,40,12)t(32,40,28)+*s(32,32,28)s(40,24,20)**
t(16,16,12)s(40,32,12)+s(16,16,20)s(40,40,20)s(24,32,28)*+*
t(24,40,20)s(24,16,20)s(16,24,12)-t(32,24,20)+c(48,32,12)--
c(40,48,12)c(40,40,12)+t(24,32,12)t(40,48,20)++s(16,32,12)+
s(40,32,20)t(32,40,20)s(40,40,12)s(24,40,20)s(40,32,12)-+*-
s(24,24,28)t(24,32,28)*t(40,24,20)s(40,16,20)*-c(32,40,20)+
c(24,16,12)c(32,32,12)s(48,40,12)++s(48,24,20)-c(32,40,12)-
s(24,40,20)s(40,48,20)c(40,40,20)++t(48,56,12)-s(16,32,12)-
s(24,40,28)c(32,32,12)c(48,32,12)++s(40,24,12)-s(16,48,20)*
t(32,48,28)s(16,48,12)t(40,48,20)+s(40,8,12)+*t(32,40,28)*
s(40,16,12)c(48,24,12)+c(24,32,20)s(40,32,20)*-s(48,32,20)+
t(40,24,20)s(8,32,12)t(32,32,12)++c(32,40,20)+s(8,48,12)+
t(24,40,28)s(24,40,20)s(48,40,20)-c(40,24,20)--s(32,32,28)*
s(40,48,12)c(24,32,12)s(32,16,20)++c(16,24,12)-s(40,24,20)*
s(40,32,12)t(48,16,12)t(48,56,12)s(40,40,12)c(48,48,12)++++
t(32,32,28)s(32,32,28)s(16,16,20)+s(24,24,28)**s(24,24,20)*
s(16,48,20)t(24,32,28)s(16,16,12)-t(48,40,12)+s(32,48,20)*-
s(48,24,12)s(40,24,28)s(48,24,20)s(32,24,28)*-+s(48,16,12)-
s(24,16,20)s(16,32,20)s(16,48,12)--s(40,32,28)s(32,16,20)-+
t(24,48,28)t(24,24,20)s(24,40,28)s(48,24,12)+*-c(40,24,20)+
t(16,40,12)s(24,24,20)+c(40,24,20)+c(32,40,20)s(48,40,20)*+
t(24,40,28)c(24,24,12)t(24,16,12)t(24,40,12)t(48,48,12)+++*
s(40,16,20)s(32,48,20)t(16,56,12)-+c(32,24,20)c(32,16,12)--
s(24,48,20)s(24,24,28)c(32,32,12)t(24,48,20)+-s(24,16,20)*+
s(40,32,20)s(16,32,20)c(32,32,20)+c(32,40,20)**t(24,24,12)-
c(32,32,20)c(32,24,20)s(32,32,28)*t(40,40,20)t(32,32,12)--*
s(32,8,12)s(40,40,20)s(24,32,28)*s(48,16,20)s(32,16,12)--+
c(40,32,12)t(24,40,12)t(24,48,12)++t(40,32,20)+s(40,40,20)*
t(32,48,28)c(24,40,20)*c(16,40,12)-s(24,40,20)c(40,32,20)*+
c(40,24,20)t(48,24,12)s(24,32,28)++s(16,16,12)-c(24,32,20)*
s(24,24,20)t(24,32,12)-c(32,40,20)-c(24,40,20)s(32,24,28)*+
t(32,48,20)c(24,32,12)+t(32,32,28)s(16,16,20)--t(24,32,12)-
s(24,24,28)c(48,40,12)c(32,16,12)+-s(24,32,28)*t(32,40,12)-
s(40,48,12)s(24,24,20)s(48,16,12)t(40,32,20)+-+s(24,32,28)+
s(24,48,20)t(24,48,20)s(32,48,20)*t(32,32,20)+t(16,48,12)-*
t(24,48,28)s(32,40,20)s(48,40,12)-c(24,40,20)*t(24,40,20)*-
c(32,24,20)s(32,16,20)*s(48,32,12)+s(32,24,28)t(24,24,20)-*
t(48,16,12)c(24,32,20)c(24,24,20)s(32,40,12)s(32,16,20)+**+
t(32,32,20)c(40,40,20)*t(32,40,20)+s(40,24,28)s(40,40,28)**
s(40,32,12)t(24,48,28)s(40,32,20)s(32,32,20)c(40,24,20)**-+
t(40,32,12)t(32,16,12)+c(24,40,20)s(24,32,20)*t(40,24,20)-+
s(40,24,28)t(40,24,12)s(48,48,12)+s(40,40,12)++s(40,48,20)*
s(32,24,28)s(16,32,20)t(32,48,12)t(48,16,12)++*s(24,32,20)*
t(48,48,12)c(32,40,12)+c(40,40,20)c(40,32,20)*s(32,32,28)**
s(48,32,20)t(48,16,12)s(32,40,20)s(40,40,20)*++s(32,48,20)-
s(8,24,12)t(24,40,28)t(40,48,20)-c(24,16,12)+s(40,48,20)-+
t(48,16,12)s(16,16,20)+t(40,32,12)s(32,8,12)+-t(40,24,20)-
c(32,32,20)s(16,40,20)-c(40,16,12)s(16,24,20)++s(24,40,20)*
s(16,8,12)c(40,16,12)+s(24,24,20)+s(40,32,20)c(48,16,12)+-
s(24,40,20)c(24,40,20)s(40,16,12)+s(24,24,20)+s(32,32,20)-*
t(32,40,28)t(40,32,20)s(40,40,20)s(32,24,20)-+*s(16,32,20)+
c(24,32,20)t(24,16,12)-s(24,48,12)t(32,24,20)+*s(16,8,12)+
c(40,48,12)s(40,24,20)+t(40,48,20)s(24,24,28)t(24,24,20)---
c(24,32,20)s(32,24,20)*c(40,24,20)t(40,56,12)+s(24,24,20)**
s(8,8,12)s(24,40,28)c(24,24,12)-c(24,32,20)c(40,48,12)-*+
c(24,32,20)t(24,48,28)s(24,40,28)t(24,24,20)*+c(40,24,20)+*
c(40,32,20)t(24,48,20)-t(40,32,20)c(32,16,12)-*c(32,16,12)+
s(8,24,12)c(24,48,12)s(24,24,12)s(32,40,20)c(32,24,20)*+++
t(40,32,20)t(24,40,12)s(48,48,20)++t(32,32,12)-s(32,24,20)+
s(32,32,20)s(16,32,12)-c(40,24,12)c(24,32,20)t(32,24,20)*+*
c(32,32,20)s(24,40,20)t(16,24,12)++s(40,40,20)s(24,48,20)--
t(24,40,28)s(40,24,28)s(16,16,20)-t(40,48,12)+s(48,40,20)--
c(24,40,20)s(24,24,20)-s(24,40,20)c(32,24,20)s(40,40,20)*-*
s(48,24,20)s(32,24,28)+s(32,32,12)-c(32,32,28)*s(40,32,28)-
t(40,56,12)s(24,24,12)c(40,32,20)+s(40,24,20)*s(40,40,28)*+
s(32,32,28)c(40,24,20)*c(40,24,20)c(32,32,20)s(32,40,20)*--
s(24,40,20)t(32,48,28)+s(24,32,28)t(40,24,20)-c(32,24,12)+*
s(40,32,28)c(40,24,20)*s(16,40,12)+c(40,40,20)*c(24,24,12)+
s(32,40,20)t(32,24,20)s(40,24,20)c(32,32,20)**+s(40,48,20)-
c(24,40,20)c(40,32,12)t(32,48,20)++s(16,32,20)c(24,32,20)**
s(32,32,28)s(24,40,28)+s(40,40,28)*s(24,40,28)c(32,32,20)**
c(32,16,12)t(24,48,28)c(32,24,12)++s(32,32,20)t(40,24,12)--
s(32,40,20)s(40,16,20)s(40,32,12)-+s(24,24,28)s(32,32,28)+*
s(24,24,28)t(24,40,28)s(32,40,28)s(24,40,28)*t(24,32,28)***
t(32,32,28)t(48,48,12)+s(40,16,12)-c(40,32,20)*t(24,32,20)-
s(48,24,20)s(24,48,12)s(32,40,12)++c(24,40,20)c(24,24,20)*+
t(24,40,12)s(24,40,28)s(32,32,28)*s(24,24,20)*s(32,16,12)-+
t(32,48,20)s(32,16,12)+t(24,16,12)s(32,24,12)+-t(40,48,20)+
s(24,32,28)t(40,32,20)s(16,40,20)c(40,40,20)c(24,40,20)+*--
t(24,40,28)t(24,48,20)s(24,40,20)*s(8,8,12)c(16,48,12)++*
s(24,24,20)c(32,24,20)*c(40,40,20)t(48,32,12)-s(32,40,28)*+
c(24,40,20)t(32,48,20)-s(24,32,28)s(24,48,20)-+s(40,24,20)-
s(40,32,20)c(32,48,12)-s(16,48,20)s(24,32,28)t(24,32,12)-*+
t(16,24,12)t(48,40,12)+t(48,56,12)+s(32,32,28)c(40,32,20)*-
t(24,32,28)s(32,24,20)*t(24,40,28)s(32,32,28)*+t(16,24,12)+
t(24,32,28)c(40,40,20)s(32,32,28)*s(24,40,28)t(40,24,20)+**
s(24,24,28)c(32,32,20)s(24,40,20)*s(40,48,12)-*t(24,48,12)+
t(24,32,28)s(40,40,20)c(24,32,20)t(24,48,28)+*+c(40,24,12)-
c(32,24,20)t(32,40,28)s(40,40,28)*t(16,24,12)t(40,40,20)+-+
c(40,40,20)s(16,8,12)t(24,56,12)++s(32,16,20)t(32,32,28)+-
t(24,56,12)c(16,48,12)s(24,24,12)++t(48,48,12)c(16,48,12)+*
s(40,40,28)c(32,40,20)s(32,24,20)-*t(24,24,12)+s(8,16,12)+
c(40,48,12)t(40,16,12)c(24,40,20)++t(32,32,20)s(40,32,12)+-
c(32,24,20)c(40,24,20)t(40,32,12)-s(48,16,20)t(40,24,20)--*
t(24,32,20)s(48,48,12)s(24,24,28)s(24,48,20)-c(32,32,12)-+-
s(48,40,20)t(32,16,12)+t(16,48,12)+t(32,40,28)*c(48,40,12)+
c(16,40,12)s(32,40,28)t(24,48,28)*c(32,40,20)s(48,32,20)-*+
s(24,32,28)s(32,8,12)t(24,40,12)+-s(48,40,20)t(32,32,20)+*
c(16,48,12)t(40,40,20)+c(40,32,20)*s(48,16,20)s(32,24,20)-+
c(16,40,12)s(48,40,20)c(48,40,12)c(40,32,20)s(32,24,20)*+*+
s(32,32,28)c(24,40,20)*c(16,40,12)t(32,48,20)+t(16,32,12)--
s(40,32,20)t(40,56,12)s(32,40,12)+s(32,32,20)t(40,32,20)*+*
t(40,40,20)c(32,32,20)s(40,40,28)*t(32,32,28)*+s(32,24,28)*
t(40,48,12)t(32,32,12)+c(32,40,20)s(24,24,28)*+s(16,40,20)-
s(24,48,20)t(48,56,12)c(32,40,20)+t(32,48,20)s(40,48,20)*--
s(32,40,28)c(24,32,20)t(24,24,12)-s(40,32,12)+-t(24,32,28)-
s(48,16,20)s(40,40,28)s(40,40,28)s(8,48,12)+s(24,32,12)-*-
c(32,40,20)s(24,40,28)s(48,16,20)s(32,40,20)+*s(32,16,12)+*
c(24,40,20)s(24,48,20)*c(32,32,12)s(24,48,20)t(24,40,20)-+*
t(16,32,12)s(48,40,12)+c(40,24,20)c(40,24,12)-c(24,32,20)--
s(40,48,20)c(40,40,20)s(32,32,12)-*t(32,32,28)c(40,24,20)*-
s(24,40,28)t(16,48,12)-t(32,24,20)s(32,16,20)*c(24,32,12)+*
c(40,32,20)t(24,40,12)-s(32,32,28)c(32,24,20)**s(16,24,20)-
c(32,32,20)s(40,48,12)-s(24,32,20)s(48,40,20)-+t(32,40,20)-
s(16,24,20)s(24,40,28)t(48,16,12)+*s(32,32,20)s(16,32,20)*+
s(32,48,20)t(24,48,28)t(24,32,20)c(32,40,20)*+*s(32,32,28)*
c(40,24,20)s(48,40,20)-t(24,40,12)c(40,24,12)++t(32,40,20)-
t(40,24,20)c(32,32,12)+c(16,48,12)+c(24,48,12)-t(24,32,12)-
s(48,48,20)s(24,40,20)s(16,24,12)t(32,48,20)+*-t(32,40,20)-
s(40,24,20)t(48,24,12)s(32,48,20)s(32,48,12)-+c(32,32,28)*-
s(16,32,20)c(32,24,20)s(8,32,12)s(48,16,20)++*t(24,48,20)-
s(32,24,28)c(32,32,28)t(40,32,20)-s(40,24,20)c(40,40,12)-+*
s(24,32,28)s(32,48,20)c(40,24,20)c(40,40,20)t(32,16,12)+*+-
s(32,40,28)s(24,32,20)s(32,24,28)*-s(48,24,12)+c(32,24,20)-
t(32,48,12)c(16,32,12)s(32,24,12)+t(24,32,28)++s(32,24,28)*
s(32,48,20)c(32,24,20)t(32,40,28)*-c(32,32,20)s(40,40,20)*-
c(48,40,12)s(40,40,20)s(24,32,28)*c(48,48,12)-+t(24,40,28)-
s(32,40,28)c(32,24,20)c(32,32,12)s(32,16,12)+s(32,40,20)+**
t(40,40,12)s(24,24,20)s(16,48,20)++t(48,24,12)+s(40,16,20)*
t(32,32,20)s(8,48,12)s(16,40,12)t(24,16,12)+c(24,32,20)*++
s(32,48,20)s(32,32,12)s(32,40,28)c(32,32,28)s(48,32,20)-*+*
t(32,48,12)s(48,24,12)+t(24,48,12)+c(32,32,12)+c(40,24,20)*
c(24,24,20)t(24,48,20)s(32,48,20)*-t(48,24,12)t(24,40,12)++
s(48,40,20)t(48,24,12)-s(40,32,28)s(32,48,12)t(24,32,20)+-*
s(40,32,28)c(48,48,12)-s(24,32,28)c(40,24,12)-*t(32,32,12)-
t(40,32,20)c(16,24,12)+s(8,8,12)+c(16,32,12)-t(32,48,28)-
t(16,48,12)t(32,48,28)+s(48,40,20)t(40,40,20)*-s(32,32,28)+
c(32,40,20)s(48,24,12)t(32,40,20)+c(32,24,20)c(40,40,20)**-
t(40,32,12)c(32,32,20)s(40,40,28)s(32,24,20)*-+s(32,32,20)*
s(32,32,28)c(48,48,12)-s(40,40,28)+t(24,40,28)*s(16,32,20)*
t(16,24,12)s(24,32,12)+s(32,40,20)s(24,32,28)c(24,24,20)**+
s(24,48,20)c(24,24,12)+s(48,8,12)+c(32,32,12)-s(40,24,28)+
c(24,32,20)s(40,24,20)-s(16,16,12)-s(32,24,20)t(24,24,20)*+
s(24,48,20)s(32,32,28)s(16,24,20)*-c(16,32,12)-c(32,40,20)*
t(32,40,28)s(32,40,28)c(40,40,20)s(8,24,12)c(24,40,12)++**
s(48,48,20)s(24,32,28)t(16,24,12)-c(40,48,12)t(40,40,12)++*
s(32,24,28)s(48,24,20)t(32,32,12)c(48,32,12)+c(32,40,12)---
s(32,16,12)s(40,40,20)s(32,48,20)*+t(24,48,28)t(32,40,12)--
s(40,32,20)s(24,32,28)s(8,40,12)-*s(40,24,12)t(24,32,20)+*
c(24,24,20)s(24,32,28)c(32,16,12)-s(32,32,12)-*c(16,24,12)+
s(40,24,20)s(40,32,28)s(24,32,20)s(48,32,20)s(24,40,20)+**+
s(24,40,28)s(24,16,12)s(40,32,20)c(32,24,20)t(40,16,12)-*+*
s(40,16,20)s(16,40,12)s(40,8,12)+t(24,40,20)+s(24,32,12)--
t(32,48,28)s(24,8,12)t(48,40,12)+c(40,24,20)c(32,32,20)*+-
s(16,24,20)c(40,32,20)s(16,8,12)+c(32,40,20)c(24,32,20)*+*
t(40,32,12)c(32,24,20)s(24,24,28)s(48,16,20)-*+c(32,32,20)+
s(16,32,20)c(40,40,20)c(24,32,12)++s(24,48,12)-t(32,40,28)-
c(48,40,12)t(32,32,20)+s(32,16,20)+s(48,32,20)s(40,40,20)**
c(32,32,20)s(48,48,20)-s(24,24,20)*s(16,24,20)s(32,16,20)-+
t(32,40,20)c(40,40,12)t(24,40,28)+s(48,40,20)-s(32,48,20)--
t(32,32,28)t(40,24,20)t(24,32,28)t(32,32,20)s(24,24,12)--+*
t(24,40,20)s(32,16,20)c(24,40,12)+c(40,24,12)-*s(24,48,20)+
s(8,16,12)t(24,48,20)s(24,16,20)+t(16,48,12)-+c(24,24,20)*
s(32,40,28)s(40,16,20)s(32,24,12)-s(32,24,28)+s(32,8,12)-*
t(32,24,20)t(32,40,12)+s(16,24,20)s(24,16,20)*+t(16,16,12)-
t(16,32,12)s(40,32,20)s(32,24,28)*t(40,24,20)+s(40,32,12)-+
t(48,16,12)s(40,24,28)s(40,24,20)s(16,32,20)-t(40,32,20)+-+
s(32,24,20)s(16,40,12)+c(40,24,12)c(16,32,12)+*t(16,32,12)-
s(40,24,20)t(32,40,20)-c(32,40,20)c(48,32,12)-+s(32,48,12)-
t(32,32,20)t(32,40,12)s(40,40,28)s(40,24,20)*++s(24,40,20)-
s(32,32,28)c(40,32,12)s(16,24,20)s(16,8,12)++*s(32,16,20)+
s(40,32,28)s(32,16,20)*s(32,40,28)s(16,32,12)-+c(24,24,12)-
s(16,16,12)s(24,32,28)s(32,32,12)-t(24,32,28)-c(40,24,12)-+
c(32,24,20)c(40,32,20)c(32,40,12)t(24,56,12)+t(24,16,12)+-+
c(32,24,20)s(16,40,20)s(24,32,28)*-s(48,48,12)+s(48,32,20)-
t(24,48,28)s(16,16,20)+c(32,24,12)-t(16,24,12)-t(32,40,28)+
s(48,8,12)s(40,48,12)+t(16,24,12)+c(24,32,20)+t(24,40,12)-
t(24,32,28)t(16,56,12)s(16,40,12)+t(32,32,20)-+s(40,40,12)-
t(32,32,28)c(32,48,12)c(40,32,12)+c(40,40,12)s(24,32,12)++*
t(32,32,28)s(32,24,28)s(40,40,20)-*s(24,32,28)s(24,16,20)*+
c(40,32,20)s(32,32,28)c(32,40,20)+*c(32,32,12)c(16,24,12)+*
c(32,32,28)s(32,32,20)s(32,16,20)s(40,48,12)++s(40,24,20)*-
c(32,40,20)c(48,48,12)+s(32,32,28)s(24,32,28)*c(16,24,12)-*
c(16,16,12)t(24,32,28)c(40,40,20)c(24,40,12)+*+c(40,32,20)*
s(24,24,20)s(32,48,20)s(24,40,20)*-s(32,24,28)*s(16,40,12)+
s(16,40,20)s(32,32,12)+t(32,40,28)*s(24,48,20)+s(24,32,20)*
s(32,24,28)c(24,16,12)c(40,32,20)t(32,32,12)-+s(32,32,20)*-
c(24,40,20)s(40,48,12)-t(24,24,20)s(32,24,20)*+s(40,24,20)-
t(32,32,28)s(16,16,12)+s(40,32,20)s(32,32,28)s(24,32,12)-**
c(32,32,20)s(48,16,20)c(40,32,20)s(32,32,28)+s(16,24,20)-*+
s(24,16,20)s(24,32,28)s(40,24,28)c(32,32,28)s(16,48,12)-*+*
t(16,48,12)s(40,32,20)c(40,40,20)c(40,16,12)t(32,32,12)+--+
c(24,40,20)s(16,32,20)-s(40,24,20)+c(32,32,28)s(24,48,20)-*
t(16,16,12)c(16,24,12)+c(24,48,12)c(40,40,20)s(40,16,20)+++
s(24,32,28)s(40,16,12)-s(16,24,20)*t(32,32,28)+s(40,40,28)*
c(48,48,12)s(16,40,20)+c(16,48,12)-s(40,48,20)t(24,56,12)-*
s(48,32,20)c(48,40,12)t(32,48,12)++s(40,40,28)*t(24,32,28)+
s(32,32,28)c(40,40,12)-c(16,40,12)c(24,32,20)t(24,32,20)-++
t(32,48,12)t(16,32,12)+t(32,40,12)+c(32,32,28)s(40,48,12)-*
c(32,24,20)c(48,16,12)t(32,56,12)+s(40,24,28)*-t(40,32,20)+
s(40,16,20)s(48,8,12)c(24,24,20)t(16,24,12)-+s(24,32,20)-*
s(40,32,28)t(32,40,28)c(16,48,12)+-s(32,32,20)c(40,24,20)+*
t(40,32,20)s(32,24,28)s(40,24,28)+t(40,56,12)s(32,32,20)+**
s(16,24,12)s(40,32,28)s(40,48,20)++c(32,24,12)c(16,32,12)+*
s(24,40,28)t(40,40,20)t(32,32,28)+s(32,24,20)+c(24,32,20)*-
t(32,24,20)s(48,24,20)s(40,40,28)*s(24,16,20)-+s(32,8,12)-
s(48,16,12)s(24,8,12)+s(48,32,20)s(32,24,28)s(32,48,20)+*-
s(48,24,12)t(32,48,28)+c(40,24,20)s(32,16,20)+c(32,32,20)+*
s(24,24,20)s(16,40,20)s(24,40,28)s(8,32,12)t(40,24,12)+-+*
s(32,32,20)t(24,16,12)+c(24,24,12)-s(48,48,20)c(48,32,12)-+
s(16,24,20)c(32,24,12)-s(32,32,28)s(32,8,12)s(40,40,28)+*-
t(16,40,12)s(48,32,20)s(48,40,20)t(48,16,12)+*s(48,40,20)*+
s(8,32,12)c(40,24,12)c(40,16,12)++s(24,32,28)s(40,32,28)+*
s(32,32,28)s(24,32,28)c(40,40,12)-s(40,32,28)c(40,48,12)-*-
c(24,24,20)s(40,32,12)c(24,40,12)+c(16,48,12)+s(16,32,20)+*
s(40,32,20)c(24,32,20)s(8,48,12)+t(32,40,28)c(48,32,12)---
s(32,24,20)t(32,32,28)*s(8,32,12)s(24,16,12)+s(8,48,12)+-
c(24,16,12)c(24,40,20)+s(48,48,20)t(48,40,12)-+c(32,40,20)*
s(24,24,28)s(32,16,20)c(24,40,12)+*t(24,48,20)s(16,48,20)*+
s(32,40,28)c(24,40,12)t(48,48,12)+s(32,48,20)*-t(16,56,12)-
s(32,48,20)s(48,16,20)s(40,24,20)+c(32,16,12)t(32,32,28)+*-
t(32,40,28)s(40,32,28)s(24,24,28)*s(24,40,28)s(32,40,28)***
s(24,8,12)s(48,16,20)c(40,32,12)-+s(48,16,12)c(48,32,12)++
t(32,32,28)s(40,24,28)s(32,16,20)+s(40,40,20)**s(24,24,12)-
s(32,16,12)s(40,24,28)t(32,24,20)-s(32,24,28)*+s(24,32,28)-
c(24,40,20)s(40,32,28)s(40,24,28)+s(48,24,20)-s(24,32,28)**
s(16,8,12)t(32,40,28)s(8,16,12)+s(32,40,20)c(16,48,12)--+
s(24,24,20)t(40,40,20)+s(48,24,20)s(40,8,12)--c(32,40,12)-
s(16,16,20)s(24,24,28)+t(48,56,12)+s(32,32,20)*s(24,40,12)-
c(32,32,28)c(40,24,20)t(24,32,28)-c(48,40,12)--s(40,40,20)*
s(16,24,12)c(40,40,12)+s(32,32,28)t(24,48,20)-s(32,24,12)-*
c(40,40,20)t(32,32,28)t(24,48,28)s(32,40,28)s(32,16,20)+*-*
s(48,32,20)s(48,48,20)s(40,40,28)c(40,24,20)s(32,8,12)+*--
s(8,32,12)s(32,24,28)s(24,32,12)-c(32,32,12)-s(32,16,20)*+
s(24,48,20)t(32,40,20)t(32,32,28)*c(16,48,12)+*s(32,32,28)*
s(16,40,20)s(8,32,12)c(16,16,12)t(48,32,12)t(24,32,12)+++-
s(32,32,28)c(32,40,20)*c(32,24,20)s(24,24,28)s(32,24,28)***
s(32,32,28)s(32,40,28)*s(48,40,12)-c(40,24,20)s(32,32,20)**
s(24,32,12)s(48,8,12)+c(32,32,20)c(40,24,20)+*t(32,40,12)-
s(16,24,20)s(24,32,20)+c(32,24,20)c(24,32,12)s(40,48,20)+--
s(16,24,20)s(32,32,28)c(24,24,20)t(32,32,20)-*s(24,32,12)+*
t(32,40,28)c(24,40,20)t(32,32,28)*s(32,32,28)c(32,40,12)-+*
t(40,24,12)s(48,40,20)+s(24,40,20)c(32,32,20)t(24,32,28)**-
t(40,16,12)t(48,24,12)+t(40,48,20)c(40,24,20)t(32,32,20)*++
c(32,24,20)t(24,56,12)+s(16,24,12)s(40,40,28)+t(16,24,12)-*
t(24,32,28)c(32,32,28)s(24,40,28)c(32,24,20)s(24,24,20)**--
c(40,24,12)s(32,24,28)c(40,24,20)c(40,40,20)s(16,40,20)-*-+
t(24,32,28)c(32,32,28)s(40,40,20)s(24,32,20)--*t(24,48,28)-
s(32,40,28)s(16,24,20)-s(32,32,28)+s(24,40,20)-s(48,24,20)-
s(40,32,28)c(32,48,12)-t(32,40,28)t(40,24,12)+*s(48,48,20)-
s(40,40,28)s(24,32,28)*t(32,24,20)s(32,16,20)*s(48,32,20)+*
s(32,24,28)t(24,16,12)-s(24,24,20)s(32,32,28)*s(48,40,12)+*
t(24,48,20)t(32,48,28)*s(40,32,20)t(32,48,20)-s(40,16,12)-+
s(32,24,28)c(40,32,20)-s(40,48,12)c(24,24,20)s(16,16,20)++*
s(48,24,12)t(24,32,28)+s(40,8,12)s(32,40,28)+*s(48,24,20)-
s(32,32,28)s(40,40,28)t(24,48,20)-+t(32,32,28)c(16,40,12)+-
s(8,8,12)s(40,40,20)c(40,24,20)*+s(24,16,20)t(48,32,12)++
s(16,40,20)c(40,24,20)-s(40,40,28)s(24,40,28)-+s(16,40,20)*
s(32,32,28)s(16,16,20)s(40,40,12)+-s(24,40,28)*c(32,24,12)-
s(24,16,12)c(40,16,12)c(40,40,20)+c(40,24,20)*s(24,32,28)-+
c(24,24,20)s(32,16,20)t(32,24,20)*s(8,24,12)+*s(24,48,12)+
c(16,32,12)s(40,32,20)s(48,16,20)+c(40,24,20)*s(40,16,20)-+
s(48,48,20)s(32,40,28)s(24,40,28)t(40,32,12)-*s(16,24,12)--
t(32,48,28)s(40,32,12)-s(40,40,28)t(32,24,12)-s(32,32,28)--
t(32,32,28)t(24,32,20)*c(24,16,12)+s(24,8,12)-t(24,16,12)-
s(40,24,20)s(24,24,28)s(40,32,28)s(32,24,28)t(32,40,20)----
s(32,48,20)t(48,32,12)t(24,32,28)+c(40,32,20)s(32,40,20)--*
s(32,16,20)t(24,16,12)s(24,8,12)+-s(48,40,20)c(40,40,20)*-
c(24,40,20)s(24,48,20)t(32,48,28)*s(32,16,12)+s(32,40,20)+*
c(24,32,20)s(40,32,28)t(24,48,20)-s(40,16,20)s(24,24,28)*-+
c(48,16,12)s(24,48,20)+t(24,48,28)t(24,32,28)c(40,32,20)*--
s(40,16,20)s(24,16,12)t(16,16,12)+s(24,8,12)+t(32,32,12)+-
s(40,24,28)c(24,24,20)s(24,16,20)t(32,24,12)--s(48,16,12)+*
t(32,32,28)c(24,40,20)t(24,40,28)*s(40,40,28)*t(24,48,28)*-
t(32,48,28)s(8,8,12)t(32,24,20)+-c(24,24,20)-s(40,48,20)*
c(40,32,12)s(32,40,12)c(16,32,12)++t(32,40,28)+s(16,32,20)-
c(40,32,20)t(24,40,12)-s(48,40,12)c(24,32,20)s(32,24,12)-+*
s(24,40,28)s(32,32,28)*c(32,32,20)*c(40,24,20)s(48,24,12)-*
s(48,48,20)c(40,40,12)-c(40,40,12)+s(40,24,28)+t(24,32,28)*
s(16,48,20)s(16,40,20)s(24,32,20)*s(48,48,12)+-t(32,48,20)+
s(48,32,20)c(40,24,20)+s(48,24,12)-t(32,40,12)-c(32,40,20)-
t(32,40,28)s(40,32,20)*c(40,48,12)s(16,16,12)c(48,32,12)+++
s(40,48,20)s(40,32,28)t(32,32,12)s(16,40,20)s(32,40,28)*+*-
s(16,16,20)t(48,16,12)+c(48,16,12)t(48,32,12)+c(32,16,12)+-
s(24,40,20)s(32,48,12)t(16,56,12)+s(24,8,12)c(24,40,20)+*-
s(32,40,20)t(24,48,28)c(24,40,20)s(24,32,12)-*-s(48,32,12)-
c(40,40,20)c(32,16,12)t(32,32,20)c(48,16,12)+++t(40,32,12)-
t(32,24,12)s(8,40,12)+t(32,40,28)s(24,40,20)t(40,32,20)-*+
t(24,48,12)t(32,32,28)+c(24,24,20)s(24,32,20)s(48,16,12)+--
s(32,48,20)c(48,40,12)s(40,24,12)+c(32,40,20)*s(16,24,12)+-
c(32,24,20)s(24,24,28)s(32,32,28)--c(32,40,12)c(40,24,12)+*
c(32,24,20)s(32,16,20)t(48,32,12)++s(48,32,20)+c(32,32,20)-
s(24,32,20)c(24,40,20)*s(40,48,20)s(8,8,12)+-s(32,32,28)*
c(32,32,20)s(40,40,20)*s(16,40,20)s(32,40,28)*+s(40,24,28)-
t(24,32,28)s(40,24,28)*t(24,40,20)t(32,48,28)s(40,24,12)++*
s(8,24,12)c(32,40,20)+s(32,40,28)s(32,24,20)s(40,16,20)*-*
s(24,24,28)c(32,32,20)*c(16,48,12)+c(40,32,20)*s(48,24,12)+
t(24,56,12)s(16,32,20)t(24,40,28)t(24,48,12)-s(32,32,28)*-+
t(32,48,28)c(24,40,20)t(24,40,28)**s(24,48,20)t(24,40,28)**
s(40,40,28)s(16,40,20)s(24,40,20)*-s(40,32,20)s(32,24,28)*+
s(16,24,20)t(40,48,20)s(32,16,20)+s(24,16,20)*s(40,24,28)*-
s(40,32,20)c(32,40,20)s(48,40,20)c(32,32,20)*s(8,32,12)+*-
s(32,16,20)t(40,48,20)t(40,48,20)t(40,40,20)+t(48,48,12)-*+
s(16,40,20)s(40,48,20)s(40,8,12)+c(16,32,12)+s(48,16,20)+*
c(24,40,20)s(24,32,28)t(32,40,28)*s(32,24,20)-c(16,16,12)+*
c(24,40,20)s(8,32,12)s(32,24,28)+s(48,32,20)-s(48,16,20)+*
c(40,40,20)s(24,32,28)t(32,24,20)*s(24,40,28)s(48,40,20)-++
t(24,48,20)c(40,40,20)s(48,24,20)-t(32,24,12)+s(24,48,12)--
s(24,32,28)c(32,48,12)s(40,24,28)s(16,16,20)t(32,32,12)+-++
s(40,16,20)s(16,24,20)+t(32,56,12)+s(16,16,20)c(40,32,12)+*
c(24,40,20)s(32,24,28)t(40,32,12)-s(40,24,20)*t(48,16,12)+-
s(24,24,12)s(24,48,12)+t(40,32,20)+s(40,32,20)*t(32,32,28)*
t(40,40,20)s(24,32,28)t(32,40,12)c(40,40,12)+-s(40,24,20)++
t(32,32,12)s(16,48,20)c(48,24,12)+s(16,24,12)++t(32,32,12)-
t(40,48,20)t(32,48,28)*s(16,32,20)+s(24,48,20)*c(24,32,20)*
s(40,32,12)s(32,24,20)t(32,48,28)c(40,40,20)*t(32,48,20)+-+
t(16,40,12)t(40,24,20)s(40,16,20)*+s(48,16,20)+s(24,8,12)+
c(16,16,12)t(32,48,28)+t(16,16,12)-c(40,40,20)s(40,48,20)**
c(24,32,20)s(32,16,20)*t(40,56,12)+s(24,40,28)*c(40,40,12)+
c(32,32,20)s(40,48,20)-c(32,24,20)*s(48,32,12)-t(32,32,28)*
s(24,24,12)c(16,24,12)c(32,40,20)+c(24,16,12)t(24,32,20)+-+
s(32,16,20)c(32,40,20)+s(16,48,20)t(40,24,20)s(32,32,28)*+*
t(24,32,28)t(48,56,12)t(24,40,28)s(8,8,12)t(32,40,12)+++*
t(24,32,28)s(16,32,20)t(40,24,20)++c(16,48,12)-s(40,16,20)*
s(40,40,20)t(24,40,28)*c(16,40,12)+s(32,24,20)+t(24,40,28)*
s(24,32,20)t(24,40,28)s(24,32,28)s(16,24,12)-t(24,48,28)--*
s(24,24,20)c(40,40,20)t(40,32,20)s(24,24,20)+-s(48,48,20)*+
c(32,40,20)t(48,48,12)t(40,24,20)+*s(24,32,28)+s(40,24,28)*
s(24,40,28)t(32,48,20)-c(32,40,20)s(48,48,20)*+s(16,24,12)-
c(40,32,20)c(32,24,20)*s(48,24,12)t(32,48,20)+s(40,48,20)--
c(32,24,20)s(40,24,28)c(24,24,20)*t(16,24,12)t(16,32,12)++*
s(16,40,20)t(24,40,20)*s(32,32,28)s(40,40,28)t(24,32,28)*-+
s(16,24,20)c(40,40,20)s(8,32,12)s(32,32,20)+s(40,24,28)**-
t(32,48,28)s(24,24,20)s(8,24,12)s(32,32,20)+*-s(24,48,20)*
s(48,48,20)t(40,48,20)t(24,56,12)s(16,8,12)++c(24,40,20)+-
s(32,40,20)t(32,48,12)-s(40,32,20)s(48,40,20)*c(24,24,12)+*
c(24,24,20)c(48,24,12)+t(32,48,28)s(24,40,20)*t(16,56,12)+-
t(48,48,12)s(24,40,28)+c(32,24,20)t(16,48,12)+*t(32,24,12)-
c(32,32,12)s(48,48,12)+c(24,32,20)t(32,24,20)t(24,16,12)+*-
t(40,48,20)c(24,40,12)c(40,40,20)+t(32,40,20)-+c(40,24,12)+
s(8,32,12)t(24,48,28)t(32,32,28)t(24,48,28)+c(24,32,20)*-+
t(32,32,20)c(40,32,20)t(24,32,28)s(40,32,12)+**s(8,24,12)+
s(32,16,20)c(32,32,28)*s(40,40,28)c(40,48,12)-s(24,40,12)-+
s(40,40,28)s(32,24,28)s(24,32,20)+s(32,16,20)--c(40,32,20)-
s(32,24,28)t(32,40,20)-t(40,48,20)c(32,32,20)+t(40,32,20)-*
c(40,40,12)s(16,32,12)c(40,24,12)+c(32,32,20)*+s(48,24,20)*
s(8,16,12)s(16,24,20)s(16,24,12)c(32,40,12)+-t(40,48,12)++
s(24,16,20)t(24,16,12)s(48,48,20)c(24,32,20)c(24,16,12)+-+-
t(32,48,20)s(24,8,12)s(40,48,20)+c(16,16,12)-*t(40,16,12)+
s(32,48,20)s(32,32,20)+s(16,40,12)s(48,24,20)+c(16,48,12)+*
t(40,40,20)t(24,56,12)+t(32,56,12)+s(24,16,12)+s(32,24,28)-
s(16,16,12)c(24,32,12)s(48,24,20)+c(40,40,20)*+t(24,48,28)-
s(32,24,28)c(16,40,12)+s(16,32,20)-s(24,32,28)*s(40,48,20)-
s(32,32,28)t(40,24,20)c(24,40,20)t(16,24,12)-t(24,32,20)*+*
s(32,24,28)s(32,40,20)c(16,32,12)--c(24,32,20)*c(32,32,12)-
s(40,48,12)s(32,24,28)t(24,32,28)s(24,40,28)**c(32,24,12)++
c(16,32,12)t(32,40,28)s(32,24,12)s(24,40,12)+s(40,16,12)-*+
s(40,40,20)s(24,24,20)s(32,32,20)+c(40,40,20)*+t(32,40,28)+
c(40,32,20)t(32,24,12)c(24,32,12)s(8,32,12)++t(24,48,20)+*
c(48,32,12)s(32,48,12)+t(24,40,28)t(40,24,20)+s(16,24,20)-*
t(24,48,12)s(24,40,20)s(40,48,20)-t(24,32,12)-t(40,24,20)++
s(40,24,28)c(40,16,12)c(40,32,12)c(48,40,12)++s(40,48,20)++
c(16,48,12)c(40,40,20)c(40,32,12)t(24,32,28)+-s(16,40,20)-+
s(40,40,28)c(48,48,12)-s(32,24,28)+c(24,24,20)s(40,16,12)+*
s(32,32,20)c(40,24,12)s(16,24,12)s(32,40,12)++*c(24,24,20)*
s(48,16,20)s(16,24,12)s(24,32,28)t(24,40,20)c(16,48,12)+*++
s(16,24,12)c(24,48,12)c(32,32,20)+s(24,24,20)-s(40,24,20)-+
t(40,16,12)s(8,8,12)s(40,24,20)+s(40,40,20)*+s(24,40,20)-
t(32,40,28)c(40,40,20)s(24,40,28)+c(16,40,12)-t(48,48,12)-*
s(16,32,20)s(32,24,28)c(40,32,12)c(16,16,12)+s(24,16,20)*-+
s(40,32,20)s(48,16,20)+t(32,16,12)t(48,40,12)t(48,24,12)++*
s(24,40,20)c(40,32,20)s(24,32,28)t(32,16,12)-t(40,56,12)+*-
s(32,32,28)s(24,32,20)s(16,40,12)--s(24,48,12)-s(40,40,20)+
s(40,40,28)s(24,32,20)*s(32,32,20)c(24,40,20)*s(24,24,28)**
s(40,24,28)s(8,48,12)s(48,8,12)+s(32,32,28)t(40,56,12)++*
t(24,32,28)t(32,40,28)s(24,48,20)*s(24,32,28)s(32,8,12)+*-
s(32,24,28)s(48,40,20)-s(48,8,12)-s(32,40,12)-s(40,24,28)*
s(40,24,28)s(40,40,28)+t(32,48,28)c(24,32,20)s(32,16,20)*+-
t(16,24,12)t(32,24,20)c(48,32,12)+c(48,24,12)++c(24,24,12)-
t(16,48,12)c(32,24,20)+t(40,16,12)c(32,40,20)+-c(32,24,20)*
s(48,24,20)s(48,40,20)*c(16,40,12)+c(40,40,20)s(48,48,20)*+
s(24,24,20)s(48,24,12)+s(40,8,12)t(24,48,28)++s(32,48,20)*
s(40,48,20)c(24,32,20)s(16,40,20)s(24,48,20)--t(40,32,20)+-
s(32,48,20)s(16,24,12)+s(40,40,28)s(16,8,12)+*s(40,32,12)-
s(16,48,12)s(32,32,28)s(32,48,12)-t(48,24,12)-s(40,32,20)*+
s(24,24,20)s(32,32,28)c(24,32,20)-+t(24,16,12)-t(24,48,28)-
c(24,40,20)s(32,40,28)t(40,24,20)-t(32,32,28)s(48,32,12)-**
c(32,32,20)c(32,32,12)c(24,40,12)+s(32,24,12)c(16,16,12)++*
t(32,40,28)c(24,24,20)s(40,24,28)*s(16,16,12)+-t(16,40,12)+
c(24,40,20)c(40,32,20)c(24,40,12)--s(24,40,12)-s(16,32,12)-
s(32,40,28)s(32,24,20)c(40,40,20)s(40,16,12)s(48,48,12)++*-
t(40,56,12)s(48,16,12)s(24,16,12)+t(32,32,12)++c(24,32,12)-
t(48,48,12)s(24,24,28)+s(40,40,28)*s(32,16,20)s(16,24,12)-+
s(16,16,20)s(48,32,12)t(32,16,12)++t(40,40,20)-s(16,40,20)-
t(32,48,28)s(16,32,20)s(24,40,20)*s(16,16,20)+s(32,40,28)*-
s(32,40,28)s(24,40,12)t(40,24,12)t(48,32,12)++*s(40,40,12)-
s(32,24,28)t(24,48,20)+s(40,32,28)*s(24,48,20)-c(32,32,12)-
s(8,48,12)s(24,48,12)c(32,24,12)s(48,24,20)++c(40,24,12)-+
s(32,32,20)c(32,32,28)c(40,24,12)-*s(48,40,20)-s(48,40,12)+
s(32,24,20)s(40,32,12)t(40,40,12)+c(24,40,20)+c(32,24,20)**
t(40,48,12)s(48,40,12)+t(32,48,28)c(32,40,20)c(48,40,12)--+
s(24,24,20)s(40,24,28)t(32,16,12)s(32,32,20)+s(32,16,20)--*
c(32,48,12)s(40,16,20)+s(48,40,20)-c(40,24,12)-c(32,24,20)-
s(32,8,12)s(40,32,28)c(32,32,20)c(40,24,12)-*+s(24,48,20)-
c(40,16,12)s(40,32,28)s(32,40,20)*+s(24,32,20)c(32,24,20)*-
s(40,48,20)s(32,40,20)*c(40,48,12)+t(40,48,20)t(24,48,12)+*
t(24,40,28)t(24,48,28)*c(24,40,12)s(32,48,12)s(40,16,20)+++
c(16,48,12)t(32,24,12)+t(40,24,20)+s(32,24,28)t(40,40,20)-*
s(48,48,20)s(40,48,20)s(16,24,12)s(24,32,12)+c(40,32,20)+*-
s(40,32,28)s(24,24,28)+s(24,24,28)c(40,32,20)s(32,32,28)**-
c(32,16,12)t(24,48,20)t(16,40,12)-s(24,24,20)-+t(40,40,20)+
s(40,40,28)t(24,40,12)-s(32,40,20)*c(48,16,12)+t(32,40,28)*
s(32,40,12)t(24,32,28)c(24,24,20)s(32,32,28)+s(32,32,12)-*+
c(24,40,20)c(40,32,20)*c(16,40,12)-t(32,16,12)+t(32,24,20)*
s(32,16,20)s(16,8,12)t(24,40,20)++s(24,40,28)-c(16,16,12)+
c(32,24,20)s(48,48,20)-c(40,32,20)s(40,32,28)s(32,32,28)***
s(48,24,20)c(32,48,12)s(40,32,20)s(24,32,20)++s(40,40,20)--
s(24,32,20)t(24,48,20)-t(32,48,20)-t(40,24,20)+s(32,8,12)+
s(24,24,20)s(32,16,12)s(32,48,12)+-c(32,32,20)c(40,24,20)*+
s(48,32,20)t(32,32,20)t(40,24,20)+c(40,32,20)**s(32,40,12)+
s(40,40,20)s(24,48,20)s(24,40,20)s(24,32,20)**t(32,40,20)+*
c(24,24,20)s(40,40,20)c(32,24,20)t(32,16,12)--+s(16,16,20)-
t(32,48,28)c(40,40,20)*t(40,56,12)-s(48,32,12)+s(48,40,20)*
s(32,32,20)c(24,32,20)*s(32,32,28)s(40,32,28)*t(48,40,12)-*
s(48,32,20)s(40,32,20)s(40,24,12)-+s(24,48,20)+s(16,48,20)*
c(48,40,12)c(24,40,20)s(24,32,28)++c(40,40,20)*s(40,24,28)*
c(32,40,20)s(40,16,20)c(32,24,20)*-c(40,24,20)s(40,32,20)+-
t(32,32,28)s(40,40,28)+c(24,24,20)-t(48,32,12)-s(24,40,28)-
s(32,40,20)t(32,48,28)c(32,24,12)-t(24,48,28)s(24,40,20)++*
c(24,40,20)s(16,16,20)-c(24,40,20)t(32,32,28)s(48,16,12)+--
c(40,40,20)s(40,48,20)*t(24,40,28)t(32,48,20)*c(32,32,12)+*
s(24,32,28)c(40,24,12)-c(24,24,20)s(40,24,28)*+s(32,40,20)-
s(32,24,20)c(40,24,20)*c(32,24,20)s(16,8,12)s(24,48,20)+-*
t(40,32,20)s(24,40,20)t(40,32,20)s(16,40,20)+s(8,48,12)-*+
s(40,32,20)s(8,48,12)s(32,16,20)t(24,16,12)s(48,24,20)+*+-
s(32,40,28)s(48,8,12)t(32,48,28)+*s(24,40,28)c(32,24,20)-*
s(40,32,28)s(32,24,28)s(24,24,20)t(40,32,20)-c(48,16,12)+**
s(24,48,20)t(24,56,12)-c(32,24,20)t(40,16,12)-s(32,48,20)+*
t(24,32,28)s(32,48,12)+s(16,48,20)c(32,32,20)s(24,24,28)*++
c(48,32,12)s(32,32,20)c(32,16,12)-s(48,32,12)-+c(32,48,12)-
c(16,40,12)c(48,32,12)+s(32,24,20)c(24,32,12)s(32,24,12)+*-
s(32,24,28)t(32,16,12)-c(40,32,20)s(16,16,12)++c(48,48,12)-
s(24,16,20)s(48,40,12)+t(40,16,12)+s(40,40,28)s(32,40,28)**
s(40,32,28)s(32,48,20)-s(48,32,20)s(32,24,28)t(32,40,28)*--
s(40,32,20)s(48,40,20)s(32,40,20)--s(40,16,12)-t(24,40,12)-
s(32,40,20)s(40,32,20)+s(48,24,12)-s(16,32,20)-s(24,24,20)-
s(40,40,12)s(32,8,12)+c(24,32,20)+t(24,48,20)-c(32,40,12)+
c(32,24,20)s(48,16,20)c(24,24,12)t(24,16,12)++s(16,40,12)+*
t(24,40,28)s(16,16,20)+s(16,48,20)s(24,40,20)-+s(24,40,28)+
t(40,40,20)t(32,32,28)+s(40,32,28)s(32,24,20)*-c(40,24,12)+
s(16,16,20)c(24,40,12)+t(40,40,20)+c(32,40,20)*s(16,48,12)-
s(40,40,28)t(24,40,12)-s(24,48,20)s(32,32,20)+c(48,32,12)-*
s(24,40,20)s(40,24,28)s(32,32,12)-+t(16,24,12)s(24,32,12)+-
s(24,48,12)s(32,24,12)s(32,40,20)+s(40,32,20)*s(24,40,28)*+
s(32,24,20)c(40,24,20)s(40,40,28)*+c(48,16,12)-t(32,32,20)-
s(32,48,12)c(32,24,20)t(40,16,12)-t(24,48,20)-+c(32,32,20)*
s(40,32,20)t(24,48,28)s(16,32,20)c(24,40,12)+-+t(40,56,12)-
c(16,32,12)s(32,40,28)c(24,48,12)s(32,24,20)t(16,40,12)++*+
t(16,24,12)c(24,16,12)+s(32,8,12)t(40,40,12)++s(40,32,20)-
t(40,32,12)s(24,40,28)s(24,32,12)-s(40,32,20)-+t(24,56,12)-
s(32,32,28)t(32,48,28)t(24,40,20)t(40,48,20)++*s(48,16,20)+
s(24,16,12)c(32,40,20)s(40,32,20)s(24,32,28)**t(32,32,20)++
s(40,24,28)s(16,16,20)c(32,40,12)+c(40,40,12)+*t(24,40,12)-
t(24,48,28)s(24,48,20)s(24,32,28)t(24,40,12)-+*s(40,40,28)*
c(24,24,20)s(32,32,20)t(32,40,28)s(24,40,28)**c(16,16,12)+*
s(32,40,28)t(24,48,28)s(16,48,12)-s(48,16,12)+s(16,40,12)+*
t(24,40,28)c(24,40,20)s(32,40,20)*t(16,32,12)-c(40,32,20)*-
t(48,32,12)t(40,32,20)+c(16,24,12)+s(40,40,28)*s(40,40,12)-
s(16,32,20)c(32,40,12)t(16,56,12)c(16,24,12)t(40,24,20)+++*
s(32,32,28)s(24,16,12)-s(24,24,28)s(40,48,12)+c(48,24,12)+*
c(32,24,12)t(32,32,20)s(16,48,20)+c(32,32,28)*c(24,16,12)-+
t(40,48,12)s(48,40,12)s(32,32,12)+s(16,40,12)++s(32,40,20)*
c(32,48,12)s(24,16,12)+c(32,24,20)s(48,24,20)-c(24,32,20)*+
s(40,32,28)s(24,24,28)*c(32,16,12)t(24,48,28)s(40,40,20)-++
s(32,32,28)s(24,24,20)c(32,24,20)*t(16,40,12)+*t(32,40,20)-
s(48,16,20)c(40,32,20)c(32,32,28)t(24,24,20)c(48,40,12)+-+*
s(40,24,28)s(48,40,12)-t(32,32,28)s(48,32,20)*c(32,32,12)+-
t(32,24,20)t(32,32,20)s(48,32,12)-+t(48,24,12)c(32,24,12)+*
s(40,32,28)s(8,16,12)t(24,56,12)++t(24,32,20)t(48,32,12)+*
c(24,40,20)s(16,40,20)*s(32,16,20)c(32,24,12)-+t(24,32,28)*
s(32,24,28)c(24,24,12)s(24,32,20)s(8,32,12)-+s(24,24,28)*-
s(48,16,20)s(32,8,12)+s(24,32,12)+s(32,24,20)s(40,32,28)**
s(40,40,28)t(24,32,28)t(16,24,12)t(32,40,28)+s(32,8,12)+**
t(32,32,28)c(32,32,28)c(16,16,12)t(48,32,12)+-*c(24,40,20)*
c(40,40,20)t(40,32,20)-s(24,40,28)*s(16,16,20)+s(24,40,20)-
t(24,32,28)t(48,24,12)t(32,56,12)++s(24,40,20)s(40,32,12)-*
t(24,48,28)c(24,40,20)c(16,48,12)t(24,32,20)c(24,40,12)++**
s(40,40,20)s(16,16,20)s(40,48,12)+t(40,40,12)-s(32,24,20)+-
c(40,24,20)s(16,48,12)s(40,40,12)+-t(24,40,20)-s(24,24,20)-
s(40,48,20)t(32,24,12)+s(40,32,20)*s(32,48,20)s(40,48,12)--
s(32,24,20)c(40,40,12)t(16,32,12)+s(16,48,12)+s(16,40,20)*-
s(32,40,28)t(32,48,28)s(8,24,12)+*c(24,24,20)s(32,48,20)--
s(32,24,20)s(24,32,12)s(24,32,20)s(40,32,20)*+*s(24,40,12)+
s(40,24,28)t(32,32,28)s(32,48,20)t(16,48,12)--t(32,48,28)--
c(40,16,12)s(40,40,12)+s(16,24,20)c(32,24,20)*s(40,40,12)+-
s(40,32,20)c(32,48,12)-c(24,40,20)-c(32,48,12)+s(24,24,28)+
s(40,24,28)c(48,32,12)-s(32,24,28)*c(16,40,12)s(24,16,20)+*
s(32,24,12)c(32,40,12)+s(24,40,20)s(24,24,28)*s(40,48,20)--
t(32,48,28)s(32,32,28)s(48,8,12)s(24,40,28)+**t(24,32,12)+
s(32,40,28)s(40,32,28)*c(40,32,12)t(24,40,28)+*s(24,40,20)*
c(24,24,12)s(24,16,12)s(24,24,12)++s(40,40,20)+t(24,48,28)*
c(32,16,12)c(24,40,20)s(40,48,20)-+t(24,32,28)s(40,48,12)-*
s(48,32,20)s(40,40,28)*t(48,56,12)c(40,32,12)+c(48,16,12)+*
c(24,32,20)s(32,8,12)t(40,32,20)s(32,48,20)s(40,40,28)*++*
s(48,48,20)s(24,40,28)t(48,24,12)s(32,32,12)c(32,40,12)++*-
s(32,24,28)t(32,32,28)-s(40,16,20)t(40,24,12)-+s(32,40,28)-
s(24,32,28)t(24,40,28)c(24,24,20)-t(40,48,20)+-c(24,32,20)*
s(32,24,20)t(24,48,28)+c(40,24,20)-c(24,32,20)*s(24,32,12)+
s(40,24,20)s(48,24,20)*t(16,40,12)c(32,24,12)+-t(32,40,28)+
t(24,48,28)c(32,40,20)s(40,32,20)c(40,24,20)s(16,24,12)+**-
c(40,40,20)s(48,24,12)-s(40,16,12)t(32,32,28)s(48,16,20)-+*
c(24,32,20)t(40,40,20)c(32,24,20)s(40,32,20)*c(32,40,12)---
c(40,40,12)s(32,40,12)+t(24,24,20)s(24,48,20)++s(40,24,28)*
s(40,40,28)t(16,48,12)s(48,32,20)+t(32,24,20)-t(24,48,12)+*
s(48,48,20)s(48,40,20)*s(32,24,20)c(40,32,20)*t(32,40,20)+-
t(40,40,12)t(32,48,20)+t(40,40,20)s(24,16,20)++c(48,32,12)-
c(32,32,28)s(24,48,12)-c(32,32,28)s(40,16,20)-s(24,40,28)**
c(40,40,20)s(32,24,28)c(16,16,12)-c(48,24,12)-s(32,32,20)*-
c(32,24,20)t(32,32,28)c(40,40,20)c(24,32,12)s(40,16,20)+*--
s(40,48,20)s(40,32,20)s(40,16,12)-s(32,32,28)s(16,48,12)-*+
c(16,16,12)s(24,32,20)+s(48,40,20)s(48,8,12)s(40,40,20)+*+
t(48,24,12)s(40,40,20)t(40,40,20)s(40,40,12)s(24,40,20)+*-+
t(24,48,28)c(48,48,12)s(32,24,28)+t(32,48,28)*-t(40,48,20)-
t(24,32,20)s(40,48,20)t(24,40,20)s(16,48,20)+-+t(40,32,20)-
s(24,40,28)c(24,32,20)t(48,32,12)t(32,32,28)+-c(40,16,12)+*
c(24,32,12)s(40,8,12)+s(24,48,20)t(40,48,20)-+c(24,40,20)-
c(32,40,20)t(40,24,20)c(24,32,12)+s(24,16,20)+*c(40,40,20)+
c(32,40,20)s(40,48,20)-s(16,16,12)s(40,24,12)++s(24,24,20)*
s(32,48,20)c(48,24,12)+c(24,32,20)t(16,16,12)c(24,40,20)+**
c(16,16,12)s(32,16,20)+s(32,32,28)t(32,48,28)-t(24,16,12)--
c(32,32,20)c(32,40,20)t(24,40,28)*s(24,24,28)*t(48,40,12)+*
s(16,32,20)s(32,32,28)s(32,16,20)s(32,24,20)**s(8,32,12)+*
s(24,40,20)t(24,40,28)t(40,40,12)-c(24,24,20)t(48,40,12)+*-
c(32,32,12)t(32,40,12)s(16,32,20)++s(24,48,12)-s(16,16,20)+
s(32,16,20)s(24,16,20)s(24,24,28)s(32,32,20)*t(24,32,20)+-+
s(24,40,28)t(24,40,28)s(40,40,28)s(32,24,28)*-s(48,32,20)+*
s(40,24,28)s(32,16,12)s(24,32,12)+s(48,16,20)c(32,24,20)*--
s(32,24,28)t(32,32,20)s(16,40,12)-s(24,32,20)s(8,40,12)+++
s(32,48,20)s(24,48,20)*s(16,40,12)-s(48,32,20)s(32,32,20)*-
s(32,32,28)s(40,16,20)t(32,40,28)s(24,48,12)-+*s(8,8,12)+
t(48,24,12)s(16,32,20)s(24,16,12)-+t(16,24,12)t(24,40,20)+*
c(32,24,20)s(16,48,20)t(16,48,12)-+c(24,40,20)*s(32,24,20)-
c(32,24,20)t(40,48,12)t(40,32,12)s(16,48,20)+c(24,32,20)*+-
t(16,40,12)s(32,24,20)s(40,48,12)t(24,24,20)+-+s(32,24,20)+
s(16,16,20)c(40,40,12)+s(24,40,28)c(24,24,20)+*c(32,24,20)*
t(32,40,12)c(40,32,12)t(40,40,12)++t(32,48,12)-t(32,32,28)*
s(16,32,20)c(32,40,20)+c(24,16,12)s(48,32,20)s(48,48,20)*+*
t(24,32,28)s(40,24,12)s(40,8,12)c(24,40,20)+++s(8,8,12)+
t(40,40,20)c(48,24,12)-t(24,40,12)s(40,32,28)t(32,48,28)*++
s(48,8,12)s(40,32,28)+s(48,24,20)*s(32,32,20)t(24,40,20)++
c(32,32,28)c(24,48,12)-t(16,24,12)-s(40,16,20)s(32,32,12)-*
t(32,48,28)s(32,16,20)t(16,24,12)-c(24,40,20)+s(32,48,20)*-
c(40,16,12)s(24,48,20)+s(40,24,28)c(32,24,12)-s(32,40,28)*-
s(16,48,12)s(40,32,28)s(24,32,28)*+t(24,48,12)-s(24,40,28)*
s(40,40,12)t(48,56,12)t(24,24,12)++c(24,32,20)c(16,48,12)-*
s(16,16,20)s(24,40,28)s(24,24,20)+t(24,40,20)s(8,48,12)--*
s(32,32,20)c(40,40,20)s(40,40,28)s(32,32,28)s(24,24,28)-*-*
s(16,40,20)s(48,8,12)t(16,32,12)+c(16,32,12)++s(32,40,20)*
s(24,16,12)c(24,40,20)s(32,40,28)*+c(24,24,20)t(24,40,12)-*
c(32,24,20)c(32,32,28)s(24,8,12)s(8,48,12)+-*s(48,24,20)*
c(40,24,20)c(40,40,12)s(8,8,12)s(40,8,12)++s(40,40,12)--
t(32,40,28)s(24,40,28)c(32,40,12)-s(16,32,12)c(24,40,12)+--
s(24,16,12)t(24,40,28)+c(40,32,12)-c(32,24,20)c(32,32,20)**
s(40,32,28)t(24,24,12)c(32,32,12)+-c(32,32,20)*c(24,48,12)-
s(24,32,28)s(16,40,20)t(32,24,20)-s(16,24,20)+*s(24,32,20)*
s(24,40,28)t(32,48,28)+t(32,40,28)s(16,16,20)+s(32,24,20)+*
c(32,24,20)s(40,40,28)*t(32,48,28)c(40,40,20)*t(24,48,20)--
t(16,24,12)s(32,32,28)c(48,32,12)-s(32,40,28)s(32,24,28)*-+
c(40,32,20)s(32,48,20)c(40,40,20)s(32,32,20)*t(32,40,20)+**
c(40,24,12)t(32,32,28)+s(40,24,20)s(40,40,28)s(32,32,20)--*
s(16,32,20)c(32,24,20)*s(8,16,12)+s(16,24,20)*c(24,40,12)+
s(40,40,28)c(32,24,20)s(48,16,20)*s(40,40,20)+s(40,48,12)--
t(24,48,28)s(24,40,12)-c(32,32,20)s(40,24,28)c(40,32,12)---
c(24,24,20)s(16,24,12)-t(32,32,28)s(16,48,20)-*t(24,56,12)+
t(40,24,20)c(24,32,20)s(40,16,12)+*c(48,24,12)t(40,24,12)++
c(32,24,20)s(32,32,28)*s(16,16,12)-s(40,24,20)c(40,40,20)**
s(40,24,28)s(40,48,12)s(24,40,20)t(24,24,12)-+-c(24,24,20)*
t(24,32,28)c(24,40,20)c(24,32,20)s(40,40,20)*-t(48,32,12)+*
t(24,32,20)s(24,32,20)s(16,40,12)s(40,48,20)t(40,40,20)*+-+
s(24,48,20)s(32,32,28)t(24,48,28)t(32,40,20)t(24,32,28)*+**
t(32,48,20)s(32,16,12)t(32,48,28)+s(32,40,20)s(40,24,28)+**
s(40,40,20)s(24,24,12)+c(24,32,20)s(40,32,28)-+s(24,48,20)*
s(40,24,28)s(32,24,28)*s(16,16,20)s(16,32,20)--c(32,40,12)-
c(40,16,12)t(16,32,12)+s(24,40,28)c(24,40,20)c(48,40,12)+*+
s(48,16,20)s(32,48,20)s(24,24,20)s(8,16,12)--s(24,48,20)*+
c(48,40,12)s(32,40,28)c(16,32,12)-+c(40,24,20)-s(48,40,20)-
s(32,32,28)s(24,24,28)+c(40,24,20)-s(32,40,28)t(24,48,28)--
s(24,24,20)c(24,40,20)s(24,40,28)s(40,24,28)-t(24,48,28)**+
s(32,24,28)s(24,8,12)t(40,32,12)+*s(40,24,20)+s(32,16,20)*
s(40,32,28)s(16,48,12)s(24,24,28)+s(40,16,12)-c(32,32,20)**
s(32,48,20)t(48,56,12)s(40,24,20)s(48,32,20)-+s(16,16,20)+-
s(48,8,12)t(32,32,28)+s(40,32,20)*s(24,32,28)*t(48,16,12)+
t(16,24,12)c(40,24,20)+t(32,40,28)-c(48,32,12)-s(16,32,20)-
s(40,32,28)t(24,32,28)t(40,32,12)-c(24,40,20)*c(32,40,20)**
s(8,40,12)t(32,32,28)+s(24,32,28)t(24,48,28)*t(32,32,12)--
t(24,56,12)c(16,32,12)s(24,16,20)+s(32,32,28)s(24,24,28)**+
s(24,24,28)t(40,56,12)+c(32,24,20)*c(32,32,20)*t(32,24,20)*
t(32,24,20)s(24,16,12)s(48,40,20)s(16,32,12)+s(32,40,28)*++
c(32,24,20)c(24,32,20)t(40,32,20)c(40,32,20)c(24,32,20)*+*-
s(40,40,28)s(16,32,20)s(24,24,28)s(16,8,12)-*s(40,16,20)--
t(32,32,28)s(24,24,28)s(24,40,20)*t(24,40,12)+s(40,32,12)+*
s(32,32,20)s(16,24,12)t(32,16,12)t(48,48,12)++s(48,32,20)--
s(48,24,20)t(32,16,12)+c(48,40,12)-s(32,16,20)s(16,16,20)*-
s(40,24,28)s(32,32,20)*s(40,16,20)-t(32,40,20)t(40,48,20)++
s(32,40,28)t(32,40,20)-t(40,40,12)+c(32,24,12)-s(48,40,20)+
s(24,32,12)s(24,48,20)+s(40,32,20)c(24,24,20)*-s(16,40,20)*
s(40,32,28)c(24,24,20)t(40,24,12)--s(32,40,28)*c(40,32,20)*
s(8,40,12)s(40,40,20)+s(16,32,20)+s(32,48,20)-s(32,32,28)*
s(32,40,20)s(8,32,12)s(24,16,12)c(40,40,12)++-c(40,48,12)-
c(40,32,20)c(24,48,12)-c(24,40,20)t(24,48,20)s(24,24,20)--*
s(32,48,20)s(40,32,28)c(40,16,12)-c(32,40,20)-+s(24,48,12)-
t(32,40,28)s(24,40,20)t(32,48,28)+*s(32,40,12)s(8,24,12)+-
s(32,40,28)t(40,32,12)-s(8,32,12)c(40,16,12)+-c(32,48,12)-
c(24,24,20)t(24,48,20)-s(24,40,12)+s(8,8,12)c(24,40,20)+*
s(24,24,20)s(32,24,12)-t(40,24,20)s(16,32,12)+s(32,16,20)*-
c(32,24,20)s(24,32,20)*s(32,24,28)c(32,48,12)+t(24,24,12)-*
t(48,40,12)s(40,24,12)s(40,8,12)++c(32,32,28)*s(24,16,20)+
s(16,32,20)t(24,32,28)c(32,24,12)++t(32,48,28)*t(16,24,12)+
s(24,8,12)s(24,40,20)t(48,48,12)++s(24,24,20)t(40,24,20)--
s(48,40,20)s(32,24,28)c(32,40,20)*s(16,32,20)+s(40,48,12)++
s(24,32,20)s(16,24,20)*s(16,48,20)+s(40,48,20)-s(8,8,12)+
s(24,48,20)s(24,24,28)c(40,24,20)-t(40,32,20)+s(40,32,20)*-
s(16,40,12)t(24,40,20)s(40,40,12)+t(24,32,28)*t(32,24,20)-+
s(40,8,12)s(32,32,28)t(48,40,12)-+t(32,24,12)-t(24,40,28)*
t(24,40,20)c(32,24,20)s(40,40,28)*+s(40,16,20)-t(32,40,28)*
c(48,48,12)s(32,32,28)s(32,40,28)*+s(48,48,20)t(40,48,20)--
s(48,32,20)t(32,40,28)c(16,40,12)-+s(24,40,28)+s(48,16,20)-
t(40,32,20)s(48,24,20)t(24,32,28)+c(24,24,20)*+t(24,48,20)-
s(40,32,28)s(24,24,28)c(32,24,20)*c(24,40,20)*s(24,24,20)*-
c(40,40,20)s(40,16,20)+s(32,32,28)s(32,40,28)*-t(40,24,20)-
s(16,40,20)s(8,24,12)-c(24,24,12)s(40,40,28)s(32,48,20)*+-
c(48,40,12)s(48,32,20)c(40,24,20)*s(48,24,20)*+s(24,40,28)-
t(32,40,28)c(32,40,20)*c(24,24,12)-t(24,40,28)s(8,48,12)-*
t(32,40,28)t(32,48,20)s(16,32,20)t(24,40,28)*+s(16,48,20)*-
s(48,40,20)s(24,24,28)s(8,16,12)t(16,24,12)+t(48,24,12)+--
s(16,24,20)s(16,16,12)-s(32,24,12)+c(40,32,20)-s(32,40,20)+
s(24,40,20)t(32,40,12)s(48,16,12)+-s(8,32,12)-s(32,24,12)-
s(16,8,12)s(24,48,20)s(40,40,28)*+c(32,32,28)s(24,24,12)-*
s(40,32,20)s(24,40,12)s(40,48,20)c(40,40,20)s(24,48,20)*-+-
t(24,40,28)s(24,32,28)t(24,48,20)+s(16,32,20)c(24,16,12)--*
s(24,32,20)t(32,32,28)s(16,40,20)s(48,32,20)+s(48,16,20)-*-
c(24,40,20)c(24,40,20)c(48,24,12)t(24,40,20)+*-c(16,32,12)-
s(32,24,28)s(16,16,12)-c(24,24,12)-t(32,24,20)t(40,40,20)+-
c(40,40,20)c(32,24,12)s(8,16,12)s(48,32,20)++c(40,32,20)*-
s(16,40,20)t(32,48,12)t(40,32,20)+-s(40,32,20)t(24,32,12)+-
s(40,40,28)s(24,24,20)t(32,24,20)*-s(40,32,20)*c(24,48,12)-
s(24,48,20)c(40,24,20)s(48,8,12)-t(32,32,28)s(40,16,12)-+-
s(24,32,20)s(32,40,28)s(32,32,28)*s(24,24,28)t(32,32,28)***
c(32,32,28)t(24,48,28)*c(32,24,20)t(32,32,28)s(32,40,28)**-
s(32,40,28)s(32,32,28)s(48,48,20)c(24,32,20)s(40,32,20)*-+*
t(32,48,20)c(40,24,12)t(24,40,12)+c(24,24,20)s(16,40,20)*+-
s(40,32,28)s(32,24,28)+s(24,32,28)t(32,40,28)*s(16,16,20)+*
s(40,32,28)c(24,24,20)c(40,40,20)c(16,32,12)+s(24,40,28)**-
s(16,32,20)t(24,40,28)t(40,56,12)t(24,32,20)+**s(24,16,12)+
t(24,48,28)t(32,56,12)-s(40,40,28)+s(32,48,20)-c(16,32,12)-
s(24,40,20)t(48,56,12)s(24,24,20)s(32,32,20)c(16,32,12)--+-
s(32,32,28)s(32,24,20)-c(24,16,12)+s(24,32,20)s(40,48,12)+*
s(32,40,28)t(48,40,12)t(16,56,12)+-c(16,32,12)s(16,8,12)+-
c(24,16,12)s(48,16,20)t(32,32,20)-+s(24,16,20)s(32,24,28)*-
s(32,40,20)t(24,56,12)c(24,48,12)+s(48,48,20)+t(24,48,20)--
s(24,40,20)c(40,24,20)t(16,56,12)+s(32,24,12)-s(24,32,12)+*
s(24,24,20)c(32,32,20)*t(32,48,28)s(32,40,20)*c(40,40,20)*-
s(40,32,20)s(32,40,20)c(32,24,12)+t(24,40,20)-*c(16,40,12)+
s(40,32,20)c(32,24,20)s(24,48,20)c(32,32,20)-+c(24,40,20)*-
s(24,24,28)s(16,32,20)c(24,40,20)**s(32,40,20)s(32,32,20)*+
s(32,16,20)c(48,16,12)+s(32,32,28)s(24,40,28)s(24,48,12)-*-
c(32,32,20)c(24,48,12)s(8,16,12)+-c(32,40,20)+s(32,16,20)*
s(48,32,20)s(32,32,28)c(32,48,12)-c(48,24,12)t(24,32,12)+*+
s(48,32,20)t(48,40,12)-s(24,48,20)-s(16,40,20)+s(40,16,20)-
s(24,32,28)s(16,48,20)-t(32,32,28)-c(40,40,12)+s(40,32,12)+
s(40,32,20)s(32,16,12)s(40,48,20)c(32,32,28)*+s(32,48,20)*+
t(32,40,28)t(24,24,20)-c(32,32,28)s(24,16,20)-*c(16,24,12)+
s(16,32,20)t(24,24,20)+s(32,24,28)c(40,24,12)-*s(40,24,20)+
c(32,32,28)s(40,40,20)c(24,40,20)*-s(32,24,12)t(24,32,20)+*
s(40,48,12)c(24,24,20)s(8,32,12)-s(16,16,20)s(24,32,12)--+
s(24,32,12)s(24,24,12)c(48,16,12)s(32,24,12)++s(24,32,20)-+
t(48,56,12)s(40,32,28)+c(32,40,20)*t(24,40,28)*c(32,48,12)+
c(16,16,12)s(24,32,28)s(40,40,12)-s(24,48,20)s(16,32,20)+*+
c(40,40,20)s(40,48,20)*s(32,32,28)*s(48,16,20)+s(48,24,20)*
s(24,32,20)c(24,32,20)s(48,48,12)s(32,40,20)+-c(40,40,20)+*
s(32,40,20)s(40,32,28)*t(40,16,12)s(16,40,12)c(32,32,12)++*
c(40,24,20)s(48,40,20)+t(32,48,28)*s(48,40,20)+c(40,32,20)*
c(32,32,28)s(40,48,20)t(24,40,28)s(32,40,28)*+*c(48,40,12)+
s(32,32,28)s(40,24,20)c(40,32,20)*c(32,24,20)t(48,56,12)+*-
c(40,32,20)s(40,48,20)s(40,32,12)-s(32,48,20)*s(40,24,28)-+
s(40,48,20)s(40,40,28)s(16,48,20)s(40,40,20)s(32,32,20)*+*-
t(32,24,20)t(24,32,28)+t(32,40,28)t(24,48,28)*s(16,24,20)-+
t(24,40,28)s(32,32,20)-c(40,24,12)+c(32,40,12)c(24,24,12)+-
s(32,40,20)t(16,56,12)s(24,40,20)+t(40,24,20)s(24,32,20)+**
t(32,32,28)c(40,48,12)s(32,24,12)+-s(32,32,28)s(24,16,12)-*
c(32,24,20)s(32,24,20)s(8,40,12)+s(24,32,20)-s(48,48,20)+*
s(48,48,12)t(16,24,12)c(40,24,12)+t(32,16,12)-c(16,32,12)++
s(24,24,28)c(32,32,28)*s(24,32,28)s(16,24,12)-s(24,40,20)-*
s(32,40,28)c(24,24,20)s(16,16,20)--t(24,24,20)-c(48,48,12)-
s(32,40,28)c(40,16,12)c(32,48,12)+*t(32,48,28)*c(24,32,12)+
s(16,24,20)s(32,16,20)-s(48,24,20)+t(32,32,28)-c(32,32,28)+
c(24,48,12)t(24,32,28)s(24,32,12)-+c(24,24,20)s(32,40,20)*-
s(24,16,20)t(24,40,28)s(8,48,12)-c(40,24,20)+c(24,40,20)-+
s(24,40,28)t(32,24,20)s(40,40,20)+c(24,32,20)t(24,40,28)*--
t(16,48,12)t(32,40,28)t(32,40,12)s(32,16,20)+s(8,16,12)+*+
s(24,40,28)t(32,32,28)c(48,16,12)+*t(24,24,12)-c(40,32,12)+
t(40,40,20)s(24,16,12)t(40,24,12)s(40,16,20)c(48,32,12)-++-
s(40,16,12)t(24,32,28)s(24,16,20)*+s(24,40,12)+t(24,32,20)*
t(32,48,28)c(24,24,20)c(32,24,20)c(48,32,12)-*-t(32,56,12)-
s(32,32,12)s(40,40,20)t(40,48,20)*+s(32,32,20)+t(32,48,20)-
c(32,32,20)s(24,40,28)s(8,32,12)t(40,40,20)+t(32,48,20)--*
s(16,24,20)s(40,24,20)-c(32,32,20)c(32,24,20)s(8,40,12)+*-
s(24,48,20)s(16,40,20)s(16,24,20)*-c(48,48,12)s(32,32,12)+-
s(32,48,12)s(32,24,28)t(40,32,20)-+t(16,16,12)-t(32,16,12)-
s(32,48,20)s(24,24,28)+s(16,48,20)s(32,48,20)*-s(32,16,20)-
c(40,40,20)s(40,40,28)t(40,48,20)-t(40,48,20)+t(32,40,28)**
s(24,32,20)t(32,24,20)t(24,40,28)+s(32,16,20)-s(24,32,28)**
c(24,40,20)c(32,24,20)*c(40,32,20)t(32,48,20)-+s(24,32,28)+
s(48,32,20)s(40,24,12)c(48,48,12)s(24,40,12)++-c(40,24,12)+
t(32,32,28)s(32,24,28)t(40,16,12)-*c(40,24,20)s(24,16,12)-+
s(24,16,20)s(24,24,20)t(24,32,28)s(8,32,12)-*s(48,48,20)+-
t(40,24,12)s(24,40,12)+t(32,16,12)s(32,32,12)++t(40,40,20)-
c(24,16,12)s(40,8,12)+c(40,32,12)+t(32,32,28)-s(32,48,20)+
t(32,24,20)c(32,40,20)t(32,40,28)c(48,32,12)+s(32,24,28)*-+
s(40,48,20)c(48,32,12)c(40,40,12)+s(40,32,20)*-c(48,40,12)-
s(40,32,28)s(40,16,20)s(24,40,20)+s(32,32,12)c(24,32,12)+-*
s(24,24,28)s(40,24,28)c(24,40,20)*s(48,48,12)t(48,16,12)++-
c(40,16,12)c(48,24,12)c(32,40,12)+s(40,40,28)*+s(32,40,20)*
t(32,32,28)s(32,24,20)t(40,24,20)s(32,48,20)+**s(32,16,20)+
c(24,24,20)s(48,48,12)t(16,32,12)+-s(24,32,28)*t(32,24,20)-
c(32,32,28)s(48,24,20)*s(8,8,12)+s(40,40,28)*c(16,32,12)+
c(48,40,12)t(32,48,20)+s(16,8,12)t(32,48,28)s(32,24,28)-+-
t(24,24,12)c(32,32,20)s(40,32,20)*s(40,40,20)*s(32,48,12)++
s(16,32,20)t(16,56,12)+s(40,24,20)c(32,32,20)c(40,48,12)-+*
s(40,32,28)s(40,48,20)*c(24,16,12)+s(48,40,20)*t(32,32,12)+
s(40,48,20)t(32,48,28)c(24,24,20)s(40,24,20)+c(32,32,12)-+*
c(40,40,20)c(24,40,20)s(32,40,28)c(16,32,12)-+s(24,40,28)**
s(16,40,20)c(48,40,12)+t(16,48,12)s(32,48,20)s(24,48,20)*+*
c(48,40,12)s(48,16,12)t(32,48,28)+c(16,32,12)s(48,24,20)+*+
c(32,24,20)t(40,32,12)s(24,16,20)s(8,32,12)++t(48,48,12)+*
s(24,32,20)s(32,32,20)s(48,32,20)c(40,48,12)+--t(40,32,20)+
s(8,40,12)c(24,32,12)t(32,48,28)+s(16,24,12)+t(24,32,12)-+
s(48,24,20)s(40,40,20)t(32,24,12)s(16,8,12)+-s(32,24,28)*-
c(40,32,20)t(24,40,12)s(40,32,20)+c(48,16,12)-s(24,32,20)*-
s(16,40,12)s(40,40,28)c(32,24,20)s(24,48,20)s(40,24,12)+**+
t(24,48,20)s(40,32,12)+s(32,32,28)*s(48,40,20)s(48,32,20)*+
s(24,32,28)s(16,40,20)*c(32,32,20)c(48,40,12)-s(40,24,20)-+
c(32,24,12)t(40,40,20)+s(32,40,20)*t(48,32,12)-c(40,48,12)+
s(48,24,12)s(24,16,12)s(24,40,28)c(32,32,20)*++s(32,16,20)-
s(32,32,28)s(16,24,20)s(32,32,20)-s(24,32,20)-+s(48,24,20)*
c(32,40,20)s(48,40,20)+s(48,8,12)t(16,32,12)+t(24,48,12)++
s(16,32,12)t(40,48,20)+s(16,24,20)c(24,24,20)t(24,40,12)-*-
c(16,32,12)c(40,32,20)t(32,24,20)-t(16,24,12)t(24,40,12)+-+
s(24,16,20)s(32,40,28)-c(32,32,28)c(16,40,12)-s(32,24,28)-+
t(24,32,28)c(32,40,20)s(16,32,20)-s(32,40,20)*-s(32,16,20)-
c(40,32,20)c(40,40,20)*s(48,48,20)c(24,32,12)+t(32,40,28)**
c(32,32,28)c(24,24,20)t(48,56,12)+c(32,16,12)-s(32,32,28)+*
c(24,24,20)c(32,40,20)t(40,32,20)-+s(48,48,12)+t(40,48,12)-
s(32,32,28)c(24,16,12)-t(32,56,12)t(40,24,20)s(40,48,20)-+*
c(40,24,20)s(32,24,12)-s(40,16,20)c(48,24,12)+*t(32,40,12)+
s(32,32,20)s(48,32,20)s(32,32,20)*t(24,40,12)+t(24,32,20)--
s(24,32,28)s(24,24,28)t(32,48,20)t(24,40,12)-+*t(24,32,12)-
c(40,24,12)t(32,24,20)c(24,40,12)-+t(16,56,12)+t(32,32,28)*
s(24,32,20)s(48,32,20)c(32,32,20)+*s(32,24,12)-t(16,24,12)+
c(40,32,20)t(32,32,20)-c(40,16,12)-s(48,40,20)*t(32,40,12)+
s(32,32,20)c(24,40,20)s(16,16,12)+s(48,24,12)+t(24,40,28)**
c(32,32,20)c(40,24,20)t(48,56,12)+*s(24,40,28)*c(16,24,12)+
s(24,40,20)c(40,32,20)s(40,40,20)*+s(32,24,28)s(24,32,20)**
s(32,32,20)c(24,40,20)t(32,32,28)**c(40,32,20)s(40,16,12)-*
c(32,32,12)s(24,32,28)t(24,48,28)s(40,48,12)-s(32,40,28)**+
s(32,32,28)t(32,40,20)-s(24,48,20)+t(40,40,20)-s(48,16,20)-
s(32,32,28)t(32,40,28)s(40,16,20)-c(24,40,20)*-c(24,24,20)*
s(48,40,20)t(32,48,28)c(24,32,12)+t(24,48,20)t(24,32,20)---
s(32,16,20)c(48,16,12)-t(32,40,28)s(8,48,12)++s(16,32,20)*
s(32,40,28)c(40,40,20)*c(24,32,20)c(24,24,12)s(40,24,12)+*-
t(48,24,12)s(32,24,28)c(40,40,20)*c(24,32,20)s(24,24,20)+*+
c(24,32,20)t(16,40,12)-c(32,16,12)c(24,40,12)+s(32,32,12)+*
s(24,32,20)c(32,32,28)t(24,32,20)s(24,32,20)t(32,24,12)-*--
t(32,40,28)t(32,32,28)t(48,56,12)c(24,32,20)s(16,40,12)-+**
c(16,16,12)t(32,32,28)+c(32,40,12)t(40,24,20)s(40,8,12)+++
t(40,24,12)s(40,40,20)s(24,40,28)*+c(32,32,20)c(32,40,12)--
c(32,32,20)t(24,32,28)s(24,48,20)++c(40,16,12)-t(16,32,12)-
s(24,16,12)s(40,32,12)t(48,56,12)++s(24,24,12)+s(32,24,28)*
t(40,48,12)s(24,32,20)+s(40,40,12)-s(24,16,20)-s(24,24,12)+
s(24,32,20)t(32,48,12)s(24,40,20)t(24,48,20)*+-t(40,32,12)+
s(24,32,12)s(40,32,20)+t(24,40,28)s(32,40,20)t(16,32,12)++*
s(40,32,20)t(40,16,12)-s(32,24,28)s(40,40,28)t(32,40,28)**+
s(40,40,28)s(32,8,12)s(40,24,20)+c(24,24,20)t(24,32,28)*--
t(24,32,28)s(40,16,20)s(48,48,12)+t(40,32,20)s(24,48,12)+--
t(40,48,20)t(32,40,28)t(24,40,20)*s(48,48,20)+*t(24,48,28)+
s(32,48,20)s(16,24,20)t(32,48,20)+c(32,40,20)+*s(48,8,12)+
s(16,40,20)c(24,32,20)s(32,48,12)+*s(40,24,28)-t(40,40,12)+
s(48,32,20)t(32,32,28)t(24,48,20)-s(40,32,20)s(24,40,28)**-
t(32,32,28)s(24,40,28)*t(24,40,28)*t(32,40,28)*s(40,48,20)+
c(40,24,20)s(48,32,20)*s(40,24,28)c(32,24,20)t(24,16,12)-**
t(24,48,20)s(16,40,20)s(40,40,20)s(40,48,20)*s(24,48,20)+-+
c(32,40,20)t(24,40,28)*s(24,40,28)s(32,40,28)*s(32,48,20)**
s(32,32,20)s(24,32,28)s(16,32,20)t(24,32,20)--c(24,24,20)**
s(32,32,20)s(40,40,20)s(32,48,12)s(32,32,28)c(40,32,20)*+*-
c(32,32,28)c(40,24,12)-s(32,24,20)+c(16,24,12)-s(40,32,20)-
s(48,24,12)s(32,32,28)c(48,24,12)t(16,40,12)+*+s(48,16,20)+
t(32,32,28)c(16,16,12)s(40,16,12)t(24,40,28)++*s(40,32,20)*
c(48,48,12)t(24,40,20)t(32,40,12)-+s(24,48,20)t(24,48,28)*+
t(24,48,28)s(8,40,12)+s(32,40,28)-t(32,40,20)+s(16,40,20)*
t(24,24,20)s(16,16,12)t(16,48,12)++s(24,32,28)s(8,16,12)-*
s(24,48,20)s(32,40,28)t(32,32,28)s(24,32,28)+t(24,40,28)--*
s(40,24,28)s(32,16,12)s(48,40,20)+t(32,56,12)c(48,32,12)+*-
c(32,40,12)s(48,32,20)t(24,40,28)+c(40,32,12)-+c(48,48,12)-
s(32,40,28)c(40,40,20)s(24,24,28)+s(48,24,12)s(16,32,20)+**
s(32,32,28)s(40,32,28)*c(32,24,20)*s(48,40,20)t(24,32,28)--
s(40,48,20)s(32,32,28)t(32,48,28)*s(48,32,20)--s(24,48,20)-
s(40,24,28)t(32,32,12)-s(24,16,12)c(40,40,12)+c(16,24,12)+*
t(48,40,12)s(24,24,20)t(24,32,20)+s(24,40,20)*+s(40,48,12)+
t(32,40,20)c(32,32,20)c(24,40,20)**t(32,24,12)-s(16,24,20)+
s(24,24,20)s(16,24,20)*s(48,40,20)s(48,32,20)t(48,40,12)-*+
c(40,40,20)s(40,32,28)s(8,48,12)s(40,24,20)+s(32,32,28)*-*
s(32,24,28)t(32,40,28)-s(40,32,28)c(40,40,20)-s(40,8,12)+-
s(40,24,20)c(32,24,20)s(48,16,12)s(24,32,20)t(24,24,20)-+-*
s(24,40,28)c(32,48,12)t(16,16,12)+-s(16,48,20)c(16,24,12)+*
t(32,40,20)s(16,16,20)c(48,40,12)+t(32,32,28)*s(8,8,12)++
s(40,32,28)s(40,24,20)s(24,40,20)s(48,16,12)++*c(24,16,12)-
s(32,32,28)s(16,48,20)c(24,32,20)*t(24,32,12)t(16,24,12)++*
t(32,24,20)s(48,16,12)+c(32,32,28)s(40,32,12)-s(48,40,12)-*
s(40,40,28)s(48,48,20)+s(40,48,20)c(24,40,20)*-c(32,32,20)*
s(40,40,28)s(48,48,20)s(40,32,20)-s(32,16,12)+*t(16,56,12)+
c(32,24,20)s(48,16,20)+t(32,24,20)t(32,32,20)+-c(16,24,12)-
t(24,32,28)s(40,32,20)c(32,48,12)-s(24,32,28)+s(32,24,28)**
s(40,32,20)s(48,40,20)c(24,16,12)+*t(16,16,12)t(48,24,12)+-
c(40,32,20)c(32,40,12)-s(24,24,20)c(16,32,12)-s(32,32,28)*-
s(48,24,20)c(32,32,28)s(40,16,20)s(32,48,12)+s(8,40,12)+**
s(24,40,20)s(32,16,20)-c(32,24,20)s(32,24,12)-t(32,32,12)-+
c(32,32,20)c(40,24,20)*c(32,40,20)s(24,24,28)c(32,32,28)***
t(32,48,28)s(32,24,20)+t(40,32,12)-s(40,40,20)s(32,32,28)**
t(32,16,12)t(40,48,20)s(32,32,20)s(40,32,20)*t(32,32,20)*-+
t(40,24,20)s(32,24,12)c(48,16,12)+s(8,16,12)++s(24,24,28)-
s(40,24,20)c(32,32,20)s(24,24,28)*+t(32,32,28)s(24,24,12)-*
t(16,16,12)t(24,32,28)t(32,48,28)s(24,16,20)+s(40,40,28)**+
s(32,24,28)c(40,24,20)*t(24,40,28)s(24,24,28)*c(40,32,12)-+
t(32,40,20)s(48,32,20)s(40,24,12)-s(40,24,28)*c(40,16,12)+-
s(24,48,20)s(40,48,20)+t(24,32,28)*t(32,40,28)*c(16,24,12)+
t(40,48,12)s(16,48,12)s(8,40,12)s(40,24,28)++s(24,40,20)*+
s(40,32,12)c(48,32,12)+s(24,24,28)t(32,32,20)-+t(40,40,20)-
s(24,16,20)s(48,24,20)-s(32,32,28)s(16,40,20)s(32,40,28)*--
s(32,24,12)c(32,48,12)+c(24,24,20)s(32,40,20)t(40,48,12)---
s(24,32,20)c(32,40,12)t(24,24,12)+-t(32,48,20)c(24,40,20)*+
s(8,24,12)s(48,32,20)+s(16,16,20)s(32,32,28)+s(24,24,28)**
t(32,32,20)c(40,40,20)s(24,32,12)c(48,40,12)+t(24,48,28)-*+
t(24,24,20)s(16,16,20)s(40,40,12)s(40,48,12)++c(16,32,12)+*
t(24,40,28)t(24,32,28)t(24,40,20)+*s(16,16,20)s(24,32,28)*-
s(40,16,20)t(32,48,28)c(40,24,20)s(32,24,28)*c(40,32,20)*+*
c(40,32,12)c(24,40,20)t(32,48,20)-s(40,32,20)+c(24,40,20)*+
t(24,32,28)t(24,16,12)-t(24,32,12)-s(40,24,28)t(40,24,20)--
s(40,24,28)t(32,24,12)-s(48,8,12)c(32,32,20)+t(40,40,20)-*
c(40,24,20)s(24,24,12)t(24,48,20)+c(40,48,12)-c(48,16,12)+-
s(16,24,12)c(40,40,20)+t(16,40,12)s(32,32,20)+*c(16,24,12)+
t(32,48,28)s(32,16,20)s(48,48,20)+s(32,24,20)-c(32,48,12)--
c(40,40,12)s(24,24,20)+t(32,48,28)c(40,40,20)s(24,48,12)+*+
s(40,24,28)c(32,40,20)-s(48,24,12)-t(32,32,20)t(24,32,28)*+
c(32,24,20)c(24,32,20)s(32,40,20)*s(24,32,20)c(40,32,20)-+-
c(32,40,12)c(40,16,12)+s(16,48,20)t(24,40,12)-+t(24,40,28)-
s(40,32,28)s(24,24,20)+c(32,48,12)s(40,32,20)s(48,40,12)-+*
s(24,24,28)c(24,32,20)+s(24,32,12)t(40,32,20)+*c(48,16,12)+
c(32,32,20)s(24,40,28)+t(40,48,20)-c(24,40,20)t(16,24,12)-+
t(48,24,12)s(40,24,28)s(40,32,28)c(40,40,12)c(40,16,12)+-*+
s(48,40,12)t(32,32,28)s(16,32,12)-+s(32,16,12)-t(24,40,20)-
c(32,24,20)t(40,24,20)t(24,40,28)c(40,40,20)*+*s(16,24,12)+
c(32,24,20)t(40,32,20)s(16,48,20)-s(40,48,20)s(24,24,12)++-
t(32,32,28)c(32,32,20)c(40,24,12)-s(16,48,20)-t(32,32,28)*-
c(32,48,12)c(32,24,20)s(24,24,20)c(40,40,12)s(32,40,12)+--+
t(40,40,20)s(32,32,12)s(48,16,20)+c(24,24,12)-+s(32,32,28)+
c(16,40,12)s(16,32,12)+c(48,24,12)+s(48,16,20)c(48,40,12)+*
s(32,16,20)s(48,48,20)c(32,40,20)c(48,32,12)-+s(40,32,28)*+
s(48,48,20)s(48,32,20)*s(16,16,20)+s(32,40,20)t(32,32,20)*-
c(40,40,20)c(24,40,20)c(32,40,20)t(24,32,20)c(32,48,12)----
s(32,16,20)s(24,24,28)s(32,40,20)c(40,48,12)-s(48,16,12)+*-
s(24,32,28)s(32,48,20)s(40,40,20)+*t(40,40,12)-s(48,32,20)+
c(40,32,20)s(24,48,12)c(24,24,20)+s(40,48,20)t(40,40,20)*-*
s(16,16,20)s(40,40,28)+s(8,40,12)+c(40,24,20)*s(48,24,20)*
t(40,48,20)c(48,40,12)c(32,32,20)t(32,48,28)*+s(8,16,12)++
s(8,8,12)t(40,32,20)+t(40,48,20)-s(32,32,28)s(32,24,20)--
t(32,48,28)c(24,24,12)+s(40,32,28)*t(40,40,12)t(24,40,28)+*
t(24,48,28)s(32,48,12)s(40,32,12)+t(48,40,12)-s(32,48,20)++
s(24,32,20)s(8,24,12)+s(32,24,28)s(40,8,12)-s(40,32,20)*+
s(40,24,28)t(32,40,20)+t(32,24,20)t(24,24,20)+*t(48,56,12)+
s(16,32,12)c(40,32,12)t(24,56,12)+s(32,32,28)s(32,40,28)**+
s(24,32,28)s(16,48,20)-c(32,32,20)*s(48,32,12)-c(48,48,12)+
s(40,40,12)t(24,32,28)s(24,40,28)*+s(24,32,28)t(32,40,20)--
t(40,16,12)c(32,40,20)c(40,24,20)c(24,32,12)+*s(48,24,12)-+
t(48,48,12)c(32,24,20)s(32,32,28)*+c(24,40,12)-s(24,40,28)-
s(48,40,20)s(24,40,20)t(40,56,12)+s(40,24,20)t(24,32,28)+--
s(40,40,28)t(24,32,20)t(24,40,20)c(16,24,12)+*-c(40,32,12)-
t(24,24,20)s(24,48,12)s(48,40,20)+s(40,32,12)-+s(32,16,20)-
c(40,40,20)t(24,48,20)+c(24,40,20)*t(24,32,20)-s(32,40,12)-
s(40,32,28)t(32,48,20)c(40,32,12)+t(32,24,12)-*t(24,32,20)+
c(32,40,12)t(24,32,28)t(24,48,28)*+s(32,40,20)s(32,24,28)**
t(24,40,28)t(32,48,28)t(32,32,28)s(40,24,28)*s(16,40,20)+--
s(48,48,20)c(40,24,20)-c(32,32,20)+s(24,40,20)s(8,40,12)-*
s(40,40,20)t(40,48,20)+s(8,32,12)c(16,16,12)+t(40,40,20)+-
c(40,24,20)c(16,24,12)s(32,16,12)+-t(32,48,12)c(48,32,12)+*
t(32,40,28)c(40,16,12)c(24,40,20)+*s(40,32,20)t(32,32,28)**
s(24,40,28)t(32,32,12)-s(16,32,20)s(16,24,20)*-c(40,48,12)-
t(40,40,20)c(24,48,12)s(24,16,20)+s(24,32,20)*+t(32,32,28)*
t(16,48,12)s(40,32,20)s(32,40,28)s(32,16,20)-t(40,32,12)--+
s(16,24,20)s(8,8,12)+s(24,32,28)t(32,32,28)*+t(24,40,20)-
s(48,48,20)c(24,32,20)s(40,24,28)s(48,16,12)-*+s(32,40,20)-
s(40,32,28)c(24,40,20)*c(48,48,12)s(40,16,20)s(40,32,28)*+-
s(32,16,20)t(32,24,20)-s(40,40,28)t(32,56,12)t(24,40,20)+*+
c(48,16,12)t(32,48,20)+t(32,40,28)s(32,24,28)s(40,16,20)*-*
s(16,48,20)c(24,32,20)s(32,24,28)s(40,32,20)s(48,48,20)-*+*
c(40,40,20)t(48,16,12)s(32,24,28)t(24,40,28)*+s(32,32,20)*-
s(48,48,20)t(32,24,20)+s(32,32,28)s(24,32,28)*c(24,48,12)-*
t(32,40,28)t(48,48,12)c(24,24,20)t(32,40,28)+s(16,24,20)*+-
t(24,40,20)s(32,16,20)+s(48,24,20)-c(32,32,20)*s(16,40,12)-
c(32,32,28)c(24,32,20)s(32,40,20)*-c(40,32,20)s(32,40,28)*-
s(40,24,20)s(40,32,20)*s(40,32,28)c(32,32,20)**s(32,32,20)*
t(32,32,28)c(32,32,20)s(48,16,20)-s(24,24,20)-s(16,48,12)+*
s(16,24,20)s(40,48,20)+s(24,32,28)*t(24,40,28)*s(32,16,20)-
s(24,24,28)t(32,24,20)c(40,24,20)c(32,32,20)+c(24,32,20)*+*
s(24,40,28)t(32,48,20)c(48,32,12)+*s(24,32,28)t(16,24,12)-*
s(48,32,12)c(24,24,12)+c(32,32,12)+s(16,40,12)+s(32,40,20)*
s(24,40,28)t(24,48,28)s(16,16,12)+-s(24,16,20)s(16,8,12)--
c(24,32,20)t(40,40,20)t(48,32,12)t(16,48,12)+-t(24,40,12)+-
c(32,32,28)s(40,40,28)s(24,32,20)c(24,24,20)*--s(16,24,20)*
s(24,32,20)s(24,48,20)s(40,32,20)--s(48,48,12)+c(32,40,20)*
s(32,40,28)s(16,40,20)*s(16,40,20)c(24,40,20)+t(32,48,20)*+
s(32,24,28)c(32,32,28)c(40,16,12)-s(32,40,20)t(32,32,20)*-*
t(40,56,12)s(40,32,20)+t(40,40,20)s(40,24,20)+*s(16,32,20)+
s(48,16,12)t(32,40,20)+s(40,24,28)*t(16,16,12)+s(40,40,20)+
t(24,16,12)s(40,40,28)t(32,48,28)s(32,32,28)s(40,40,28)*--+
s(32,16,20)c(48,32,12)t(40,40,20)+c(40,32,20)c(32,40,12)-+-
t(40,48,20)s(32,24,20)s(48,40,20)t(32,40,28)*++c(32,24,12)-
s(40,32,12)s(32,40,20)s(24,48,12)s(40,32,28)s(48,48,20)*+*+
s(32,32,28)t(32,24,12)-t(24,48,20)c(16,32,12)-t(24,24,20)+*
s(32,32,20)s(32,24,28)c(48,24,12)-*t(32,40,20)+s(40,40,28)*
s(40,48,20)s(24,48,20)s(8,40,12)-c(40,32,20)c(16,24,12)+-+
s(40,32,20)s(32,40,20)s(40,48,12)-t(32,32,28)*s(16,16,20)--
s(16,48,20)s(24,40,12)-t(32,48,28)t(24,24,20)-s(32,40,20)*+
c(32,32,20)s(40,24,20)-c(24,24,12)+s(40,32,28)*t(32,16,12)+
c(32,24,20)s(40,40,28)+s(48,40,20)t(32,40,12)-*c(16,32,12)+
c(24,24,20)s(16,48,20)t(16,24,12)+-t(24,48,12)t(24,32,28)+*
c(32,32,20)c(24,24,20)*s(16,48,20)+s(24,16,12)c(16,48,12)+*
s(24,32,20)t(40,24,20)-s(32,24,12)-t(24,48,28)+c(24,32,20)*
t(24,32,28)c(40,40,20)*s(40,24,28)c(40,24,12)-s(32,32,28)*+
s(32,24,20)s(8,32,12)+c(24,32,20)s(24,32,28)t(24,40,20)-**
s(40,40,28)c(40,32,20)*s(32,24,28)t(40,56,12)+*s(24,16,20)-
s(48,40,20)s(24,24,20)+s(24,24,28)*t(24,32,28)c(32,40,20)*+
s(40,48,20)s(40,32,28)s(32,32,28)s(32,16,12)-**t(40,40,20)*
s(40,24,28)c(40,40,20)*t(40,32,20)t(32,48,20)s(40,32,12)--*
t(16,32,12)t(32,40,28)s(24,32,28)*+s(32,40,20)c(32,24,20)*-
s(24,48,20)s(24,32,20)s(16,24,20)+c(16,16,12)-s(32,40,20)*+
t(32,32,28)c(24,32,20)t(32,40,28)**c(32,32,28)s(16,40,12)-*
c(48,48,12)t(16,56,12)s(40,48,20)s(8,24,12)s(32,40,28)+*++
t(24,48,12)c(40,24,20)s(32,24,28)c(24,48,12)s(40,24,28)+**+
s(24,32,28)s(40,40,28)s(8,8,12)c(32,40,20)++*s(32,40,20)*
s(32,24,28)s(32,40,28)s(24,32,28)+s(48,16,20)c(32,32,28)*+*
s(40,40,20)s(16,48,20)-s(24,40,20)+c(32,40,12)s(16,24,12)+*
s(48,32,20)s(32,48,20)+c(24,40,20)*s(16,48,12)-t(32,56,12)-
s(16,32,20)t(16,24,12)-s(24,48,20)t(32,48,28)c(48,32,12)+*-
t(32,48,28)t(40,32,20)s(24,40,20)s(24,40,12)--t(24,48,28)+*
c(16,48,12)t(32,40,20)+s(40,40,20)*s(16,48,12)+s(32,24,20)-
s(8,40,12)t(24,16,12)c(16,16,12)+s(24,8,12)c(16,48,12)+++
s(32,16,20)t(24,24,20)+s(16,24,12)s(40,32,20)+s(24,40,28)**
s(32,24,20)c(40,40,20)s(48,16,20)--s(24,32,20)t(24,32,28)*+
c(32,32,20)c(48,40,12)+c(40,24,20)+s(24,32,20)c(24,40,20)*-
s(40,24,28)c(40,32,12)s(32,40,20)s(32,32,20)*t(40,48,20)-+*
c(32,32,12)s(16,8,12)s(40,16,20)+c(24,32,20)c(32,40,12)--+
s(24,24,28)t(16,56,12)t(32,48,20)s(32,32,20)+s(32,32,28)*+*
s(40,40,28)t(24,32,28)c(16,32,12)s(40,48,12)+-s(32,32,28)*-
s(24,32,28)s(32,32,28)s(24,48,12)-t(24,48,28)--s(24,48,12)-
t(24,32,28)c(24,24,20)*t(32,48,20)+c(40,32,20)t(24,32,28)**
c(24,40,20)s(16,32,20)s(16,40,20)*-t(24,48,12)-c(24,16,12)-
s(24,24,28)s(16,32,12)-t(48,48,12)s(32,32,28)s(32,48,20)-+*
c(40,24,20)s(48,32,20)c(32,16,12)-t(32,40,20)+-s(40,48,20)+
s(40,24,28)c(48,16,12)t(32,32,28)t(16,16,12)++c(48,32,12)-*
t(16,24,12)s(40,16,20)+s(24,32,28)s(40,40,20)*-c(32,24,20)*
c(40,40,20)s(48,24,12)-s(40,32,28)+c(32,40,12)s(48,24,12)+-
t(32,40,28)s(40,24,28)s(24,32,28)s(16,40,12)-s(32,16,20)**+
s(48,32,20)s(40,32,20)*s(24,16,20)s(8,40,12)+c(24,32,20)-+
c(16,48,12)s(32,24,12)t(48,24,12)++s(40,40,28)+c(40,16,12)-
t(40,48,20)s(48,16,20)c(32,16,12)-+s(40,48,20)*s(48,48,20)*
t(24,48,20)s(40,32,20)t(24,32,28)*s(16,24,20)+-c(24,32,20)+
s(40,40,20)s(32,32,12)c(16,32,12)s(24,32,12)++-s(16,16,20)+
t(32,32,28)c(24,48,12)s(8,24,12)++s(40,24,28)t(24,40,28)++
s(32,40,20)c(32,40,20)s(48,32,20)-s(32,24,12)-*s(16,40,20)+
s(48,16,20)s(40,32,28)c(40,16,12)-s(48,40,12)-s(32,32,12)--
s(32,48,20)s(40,32,28)c(24,24,12)-c(48,16,12)-s(24,32,28)**
s(16,24,20)s(40,48,12)s(24,16,20)s(24,8,12)-+s(24,24,12)--
s(40,40,12)s(24,16,12)s(32,24,20)s(24,32,20)*+c(40,32,12)++
s(32,8,12)s(24,16,20)s(24,40,28)-c(32,24,20)+c(40,32,20)*+
t(16,48,12)t(32,32,20)+s(32,24,12)-s(24,48,20)+s(32,40,20)*
s(24,24,28)s(40,40,28)t(40,32,12)-c(40,32,12)-c(16,48,12)-+
c(24,48,12)c(16,48,12)t(40,24,20)+c(32,32,28)*t(16,48,12)-+
c(24,16,12)c(40,40,12)+s(24,24,28)t(40,16,12)-t(32,32,20)*-
c(48,40,12)c(16,40,12)s(24,32,20)t(16,24,12)-+t(32,32,20)*+
c(24,40,20)s(32,40,20)c(48,16,12)t(32,40,12)+--t(32,32,20)-
t(24,32,28)c(24,32,20)t(32,32,28)c(40,24,20)*-+s(16,16,12)-
s(32,48,20)c(40,24,12)c(40,40,20)++s(40,24,28)s(24,16,20)*-
t(24,40,28)c(24,24,20)t(40,32,20)--t(32,40,28)*t(40,32,20)-
t(32,48,28)s(32,24,20)+c(24,32,20)*s(48,32,20)+t(24,40,28)*
s(40,40,28)c(40,32,20)s(24,24,28)*t(32,48,12)t(24,48,12)+--
s(24,16,20)c(40,40,20)-s(40,24,20)+s(40,24,28)c(24,24,20)**
s(24,32,12)s(40,24,20)t(32,16,12)-+c(40,24,20)*s(32,32,20)*
s(32,32,28)s(16,48,20)-s(40,32,28)t(40,40,20)s(32,16,20)---
t(40,32,20)c(48,32,12)c(32,40,20)s(32,24,20)c(24,16,12)+*+*
t(24,32,28)s(40,40,28)t(32,40,28)s(32,24,28)*s(16,24,20)---
s(32,32,20)s(40,48,12)-s(24,16,20)-s(48,16,12)+s(24,32,28)*
s(32,24,12)s(24,32,12)s(24,8,12)+s(16,24,20)++t(32,40,28)-
s(32,40,28)c(32,16,12)+s(40,24,28)s(32,24,28)**s(24,40,28)*
s(40,24,28)c(40,40,20)*s(48,40,12)c(24,48,12)+t(32,32,20)+*
t(24,40,28)s(40,8,12)t(24,32,20)s(8,8,12)++t(48,24,12)+*
c(24,32,20)t(24,48,28)s(32,24,28)s(40,32,20)*t(32,32,28)*--
t(24,32,28)t(40,32,20)t(32,32,20)+s(24,24,20)s(32,48,20)+**
s(24,24,20)c(24,32,12)s(32,40,20)s(24,24,12)+s(24,40,20)*+-
s(48,40,12)t(48,56,12)t(32,40,28)++s(48,24,20)-c(32,32,12)-
s(32,32,28)t(48,32,12)s(24,16,20)+s(40,32,12)+t(40,32,20)+*
s(32,40,28)t(24,40,28)*c(32,32,20)s(48,32,20)s(24,24,20)++*
t(40,32,20)t(40,32,20)s(48,40,20)+t(40,40,20)s(16,32,12)+*+
s(32,48,20)t(24,40,20)c(48,32,12)+s(24,32,28)*s(24,48,20)*-
s(32,32,20)c(40,24,20)c(48,24,12)s(8,32,12)+-s(40,24,20)*-
s(40,40,20)s(16,32,12)+s(32,40,20)*s(24,40,20)s(32,32,28)**
s(32,48,20)c(16,48,12)-s(24,32,20)-t(32,24,20)+s(32,48,20)-
t(24,32,28)s(16,24,20)c(32,32,20)s(32,40,28)*+*s(40,32,28)*
s(16,24,20)t(24,16,12)-c(24,32,20)s(16,24,20)*s(16,48,12)+*
c(24,32,20)s(32,40,20)t(32,48,28)s(32,48,12)-t(32,24,20)--*
c(40,40,20)c(24,40,12)-t(32,40,28)s(40,32,28)**t(24,16,12)+
s(24,40,28)s(40,32,20)t(40,24,20)s(32,32,20)+*s(32,40,20)**
c(32,24,20)t(24,40,20)c(16,16,12)c(40,48,12)++*s(32,16,12)-
t(24,40,28)s(48,48,20)c(32,24,20)+*t(24,32,28)*s(32,16,12)+
s(40,48,20)c(32,32,28)*s(32,40,28)c(40,32,12)-t(32,48,28)+*
c(24,40,20)s(40,32,20)s(48,16,20)s(24,32,20)++s(24,40,28)**
t(32,56,12)s(8,24,12)+s(32,16,20)t(16,32,12)++c(32,32,28)*
s(24,40,28)t(32,48,28)c(40,32,20)s(8,8,12)+*-t(24,48,20)*
s(40,40,28)s(40,32,28)*s(32,24,28)*c(40,40,20)t(32,32,12)-*
c(40,32,20)t(24,40,28)s(24,32,28)s(32,40,28)s(40,40,12)-**-
s(24,24,20)t(24,32,28)c(32,32,20)*c(32,24,12)--c(32,40,20)-
s(24,40,12)s(40,40,20)s(40,24,28)*+c(32,40,20)s(24,48,20)-+
s(40,48,20)s(40,16,20)s(32,48,20)++t(32,32,20)*s(40,40,28)*
t(24,32,12)s(40,32,12)c(40,16,12)+s(40,16,20)*+t(32,24,12)-
c(32,24,12)t(32,32,20)+c(16,32,12)s(16,48,20)+s(8,24,12)-+
s(32,48,20)t(24,48,28)*s(32,48,20)c(32,32,28)s(24,24,20)-**
t(16,40,12)s(40,24,28)+t(24,40,12)s(48,16,20)+s(32,24,12)+*
s(48,40,20)t(32,32,20)t(32,56,12)t(40,48,20)+-t(48,16,12)++
c(40,32,20)t(40,48,12)s(40,24,20)s(24,24,20)*+*c(40,16,12)+
s(32,24,20)s(24,40,28)s(8,32,12)-*t(32,32,28)s(32,16,20)*+
s(40,32,12)c(40,48,12)+t(24,40,28)c(48,40,12)s(16,48,20)+*+
c(32,24,20)t(24,32,28)s(48,40,20)-*c(24,48,12)-t(40,48,12)+
s(32,24,20)t(32,32,12)-t(24,48,28)s(32,40,20)t(16,32,12)+++
c(24,40,20)s(32,32,28)c(40,32,20)*c(32,40,20)s(16,40,20)-*+
s(24,24,20)c(40,32,20)s(24,24,28)-t(24,24,20)t(16,48,12)++*
t(24,32,28)s(16,24,20)t(24,24,20)s(32,32,28)*s(16,40,12)---
s(16,32,20)s(40,24,28)s(24,16,20)+*s(48,16,20)+s(48,32,20)*
c(24,32,20)s(32,48,20)t(32,48,12)s(24,48,12)s(24,32,12)++-+
s(48,16,20)c(24,24,12)+s(32,24,28)s(32,8,12)-s(48,48,20)-*
s(16,24,20)s(24,32,28)t(32,48,28)c(32,32,20)*-s(40,32,28)*+
s(48,40,20)c(48,32,12)c(32,40,12)+*c(32,48,12)s(24,32,12)+-
c(24,32,20)s(16,24,20)+s(32,48,20)-s(32,16,12)s(48,16,20)++
s(40,48,20)t(32,24,20)+s(48,40,12)c(48,16,12)++s(48,40,20)+
t(24,40,12)s(8,24,12)c(32,32,28)s(40,48,12)s(32,16,20)+*++
s(32,48,20)s(40,48,20)t(40,32,12)-t(40,48,20)*+s(40,8,12)+
s(40,40,12)t(24,48,20)+c(24,40,20)*c(48,24,12)+c(32,40,20)*
t(24,40,28)s(32,48,20)*t(48,16,12)s(24,24,28)s(40,48,20)-+-
t(16,56,12)c(24,48,12)s(40,24,12)++t(40,48,20)-s(24,16,12)+
s(16,8,12)s(40,24,20)s(24,24,20)s(24,40,28)*-+t(24,32,12)+
s(16,32,20)s(40,40,20)+c(48,32,12)s(40,48,20)+s(40,16,20)-*
s(32,32,28)s(40,40,12)-s(40,32,28)c(32,40,20)s(48,32,12)-*-
t(24,16,12)t(32,56,12)+c(40,16,12)+s(32,32,28)c(24,32,20)--
s(16,24,20)s(24,24,28)c(16,40,12)s(32,24,28)s(40,32,28)*+**
t(24,24,20)t(32,40,20)-s(40,16,20)+c(32,32,20)*t(16,32,12)-
t(32,32,20)c(32,32,20)s(24,40,28)c(24,32,20)**s(32,40,20)**
s(16,24,20)s(40,32,28)s(32,40,12)-t(32,48,20)++s(24,32,20)-
s(24,40,20)t(16,16,12)+s(40,40,20)s(32,40,20)s(48,40,20)-+-
s(24,32,20)c(24,40,20)s(40,48,20)-t(24,40,20)s(24,48,20)*-+
s(24,24,28)s(16,8,12)s(32,16,20)s(40,24,20)++*s(32,40,28)*
t(24,48,28)c(24,24,20)t(24,40,28)t(32,48,28)c(24,32,20)**--
s(32,16,20)c(40,24,20)+s(24,32,20)s(48,40,20)+c(32,24,20)**
t(24,40,20)s(32,48,20)s(48,8,12)++t(24,40,28)*s(16,40,20)+
c(40,24,20)s(32,40,20)*s(24,48,12)+s(40,24,28)t(40,48,12)+*
c(32,32,28)s(24,48,20)t(32,48,28)*s(40,40,28)s(32,24,12)-*-
s(40,40,28)s(48,40,20)c(32,32,20)s(24,40,20)+s(32,16,20)*+*
s(32,40,28)t(32,48,20)-s(48,16,20)t(24,40,12)+-c(24,40,20)*
s(40,32,20)s(24,32,28)s(40,40,20)**s(24,24,12)t(16,16,12)++
t(24,48,28)s(48,40,20)-s(16,40,20)s(32,48,20)+s(32,40,12)-*
c(24,40,20)s(48,24,20)s(48,48,20)-c(24,24,20)+s(32,16,12)-*
c(40,40,20)c(24,24,12)+c(32,40,20)*t(16,16,12)+t(40,32,20)-
s(24,32,20)s(40,40,20)s(32,32,28)*t(32,32,28)*+t(32,40,28)-
s(40,32,28)t(48,32,12)-s(32,24,28)c(40,40,20)*c(32,16,12)-+
s(40,32,12)c(32,24,20)c(40,40,12)-t(16,16,12)-t(32,16,12)-+
s(48,48,12)c(32,40,20)+t(40,24,20)s(40,40,12)+*c(32,24,20)*
s(48,16,20)t(32,40,28)s(16,16,20)++t(32,56,12)t(32,24,20)+*
t(24,24,20)t(32,40,20)-c(32,32,20)+c(24,40,20)*s(48,24,20)-
c(32,40,20)s(40,40,28)c(32,24,20)*s(40,32,20)s(48,48,20)-*-
s(48,32,20)t(40,32,20)c(32,40,12)s(16,40,12)++c(24,40,20)*+
t(32,40,28)t(40,40,20)t(40,48,20)+t(32,48,28)*+t(32,32,28)*
c(40,24,12)t(16,24,12)t(24,40,20)+s(8,16,12)++s(40,24,28)*
s(16,40,20)s(32,24,20)-t(24,32,12)+c(24,40,20)*s(24,48,20)*
s(40,24,28)s(24,24,28)c(48,48,12)+*s(24,40,20)s(8,16,12)++
c(48,32,12)c(32,32,28)s(24,32,12)-c(32,32,20)-s(24,40,12)++
s(40,16,20)c(24,24,20)*s(40,32,20)+s(32,16,12)-s(48,32,20)*
c(24,40,12)t(32,24,20)+s(16,48,12)-c(16,40,12)t(40,16,12)+-
s(40,32,20)c(32,32,28)t(24,32,28)s(32,32,20)*t(40,24,20)--*
c(48,48,12)s(8,48,12)+s(8,40,12)+s(24,16,12)c(48,48,12)+*
c(32,40,20)t(24,32,28)*t(16,32,12)-s(16,32,20)s(16,16,20)-+
s(16,24,12)s(32,32,20)+s(24,16,12)s(16,32,20)+c(32,32,20)**
s(16,48,12)s(16,48,20)s(24,32,20)+s(48,16,12)s(16,24,20)+*+
s(8,24,12)c(40,24,20)s(24,40,12)++s(24,32,12)-s(16,48,12)+
s(32,16,20)s(32,24,28)t(16,32,12)-c(16,24,12)s(32,16,12)+**
t(24,32,28)t(24,40,20)+s(24,24,20)*t(32,48,28)+t(24,40,28)+
s(40,40,28)c(32,32,28)c(24,24,12)-*s(24,16,20)s(24,40,28)+*
s(40,8,12)t(24,32,20)c(40,32,12)-+t(40,32,12)c(24,40,12)+-
c(32,40,20)s(24,24,28)-t(40,56,12)-t(24,32,20)c(48,32,12)++
s(32,32,28)s(24,40,20)c(24,32,20)*s(16,48,20)+*s(40,40,28)*
s(8,16,12)s(32,16,20)s(16,48,20)s(32,40,28)*+s(24,48,20)++
t(48,56,12)s(40,40,20)s(40,24,28)s(32,16,20)+*t(24,40,20)-+
t(24,32,28)s(40,24,28)s(48,40,20)s(16,48,20)t(24,32,28)-+-*
c(40,24,20)s(24,16,20)c(32,24,12)+s(40,16,12)-t(40,24,20)+*
t(24,32,28)t(32,48,20)s(16,24,12)+s(32,8,12)+t(24,56,12)-*
t(32,48,20)t(32,32,20)s(24,32,28)s(40,40,28)**s(40,16,20)+-
s(8,48,12)c(32,32,20)s(48,40,12)t(32,40,28)+*+c(24,48,12)+
s(32,48,20)s(48,32,20)-t(24,48,12)t(24,32,28)t(32,40,28)-+-
t(40,24,20)s(16,32,20)s(24,40,20)s(32,32,28)**-t(32,32,12)-
s(40,24,28)t(24,40,12)c(32,24,20)c(40,32,20)*t(40,16,12)-+*
t(24,32,28)t(16,24,12)t(32,24,12)++s(16,24,20)*s(24,40,28)*
s(40,24,28)t(40,56,12)s(48,24,20)+s(32,40,20)--s(24,16,20)+
t(32,24,20)c(32,16,12)+s(40,32,12)s(40,8,12)+c(32,40,12)--
c(32,32,20)c(24,32,20)t(40,40,12)-s(40,48,20)+s(16,40,20)**
s(32,32,28)s(16,16,20)c(32,32,20)t(32,32,28)*c(24,48,12)-+*
c(32,32,28)s(16,24,20)*s(32,32,28)t(24,40,28)*s(32,24,12)--
t(32,32,28)t(24,24,12)-s(16,24,20)t(32,40,12)+s(48,48,12)+*
s(40,24,20)t(32,32,28)*s(16,48,20)s(24,40,20)s(40,40,28)++*
c(40,24,20)s(24,24,28)s(16,32,20)*-c(32,32,20)s(40,40,28)**
c(32,32,28)c(16,32,12)-s(32,40,28)c(24,24,20)s(16,16,20)*-*
s(16,48,12)s(40,24,12)+t(32,56,12)t(40,24,20)+s(40,48,20)-+
s(24,16,12)t(40,48,12)+t(32,40,20)+c(48,48,12)+t(24,32,20)+
c(32,32,28)s(24,40,20)-s(40,24,28)+c(24,32,12)-c(40,24,20)-
c(24,40,20)s(8,32,12)t(24,40,12)+-s(16,48,20)+s(48,16,12)+
s(48,48,20)s(40,32,28)s(24,40,28)t(24,40,28)--*s(24,32,20)+
c(40,32,20)t(32,48,28)c(32,32,28)*t(24,48,28)s(32,40,28)**-
t(24,40,12)t(32,40,28)s(32,24,28)*+s(16,32,12)-c(40,24,20)*
t(32,40,28)s(40,40,28)t(32,32,28)t(24,40,28)s(16,48,20)*+**
s(48,24,20)t(32,32,28)s(32,32,12)-c(32,40,20)*t(48,24,12)+-
t(32,40,20)c(32,32,20)t(48,32,12)-s(24,48,12)-c(40,40,12)--
t(32,48,28)c(40,24,20)c(16,40,12)t(48,16,12)+c(32,40,20)+*-
s(40,40,28)c(24,32,20)+t(32,40,28)t(40,32,20)+-c(32,24,12)+
c(24,24,20)c(24,32,12)c(40,40,20)c(40,32,20)s(40,24,20)**+-
s(24,32,20)s(32,40,28)s(48,48,20)s(24,32,28)-s(8,32,12)++*
c(24,40,20)t(24,48,12)s(48,16,12)+-c(24,32,20)s(16,32,20)+*
t(32,32,28)s(40,40,20)s(40,24,28)*-s(16,16,12)+t(24,48,28)+
s(32,32,20)c(16,24,12)s(48,16,12)+-s(48,16,20)+c(32,40,20)-
s(32,40,28)s(16,32,20)t(24,32,12)-+t(32,40,28)s(32,24,12)--
s(24,32,28)s(40,40,20)s(48,40,12)-s(16,32,12)t(32,56,12)++*
t(24,40,28)c(40,24,20)s(40,32,20)*s(48,32,20)*c(24,24,20)+*
s(16,16,20)s(32,40,12)t(48,48,12)+s(16,48,20)s(24,32,28)*-+
t(24,40,28)t(32,40,28)t(32,48,12)t(24,32,28)c(32,16,12)-+**
c(32,48,12)c(40,40,20)s(32,24,28)*t(24,48,28)+s(40,40,20)*+
s(48,40,20)s(24,24,12)+c(40,48,12)+s(48,8,12)+t(32,32,28)*
t(48,24,12)t(40,40,20)+c(24,24,20)+c(24,32,20)*s(24,48,12)-
s(16,32,12)s(48,32,20)+c(24,24,20)t(32,32,20)--c(32,32,12)+
s(40,32,28)c(32,32,28)c(24,48,12)-s(48,32,20)*c(16,24,12)+*
c(32,40,20)s(40,32,20)s(32,48,20)s(16,48,12)-++s(48,48,12)-
t(32,32,28)c(24,24,20)c(32,32,12)s(16,16,20)+s(24,32,12)--*
c(40,40,20)t(40,32,20)t(40,16,12)-t(48,24,12)--c(32,40,12)-
t(32,32,28)s(24,24,12)-s(32,24,28)*s(16,40,12)+s(16,16,20)+
s(40,40,20)c(32,24,20)+s(24,32,28)t(16,24,12)-s(8,48,12)--
s(16,16,20)s(24,24,20)-c(32,48,12)+c(40,40,20)+s(32,24,20)-
s(32,16,12)s(8,48,12)t(32,24,20)+t(24,40,28)*t(32,40,12)++
s(32,32,28)c(40,24,12)-s(16,48,12)s(16,40,12)+t(32,40,28)+*
t(32,48,28)s(32,40,28)s(8,24,12)c(40,32,20)+**c(32,24,20)+
c(24,40,20)s(32,24,28)t(48,16,12)-s(16,40,12)t(32,40,28)+**
t(32,32,28)s(16,32,20)s(48,16,20)+c(48,32,12)-t(16,40,12)-*
s(24,48,20)c(40,32,20)s(24,40,28)*s(32,32,28)s(40,40,20)**-
s(32,16,20)s(24,40,28)c(40,32,20)*+t(24,32,20)-s(32,24,12)+
s(32,16,20)s(24,24,20)-s(16,40,20)t(32,40,28)t(16,56,12)+*+
c(24,32,20)t(40,32,20)s(24,40,28)s(40,32,28)t(32,40,28)*-+*
s(16,40,20)t(32,32,20)c(32,48,12)s(48,8,12)+--c(24,24,20)+
s(16,16,20)c(24,32,12)-s(32,8,12)-s(40,16,12)t(24,24,20)+-
t(32,32,28)s(16,24,12)+c(32,32,20)c(32,24,12)--s(16,40,20)-
s(40,32,28)t(16,56,12)+s(48,40,20)-t(32,32,20)+s(32,32,28)+
c(40,32,12)s(16,40,20)s(16,40,12)-+s(16,24,20)+s(16,32,20)*
t(16,48,12)c(32,24,20)c(40,24,20)t(40,48,20)-s(32,16,20)*-+
s(24,48,20)s(16,32,20)+s(16,16,20)t(32,24,12)+-c(32,40,12)-
s(16,40,20)s(48,48,12)s(16,48,12)+s(32,48,20)+s(16,40,20)*-
s(40,24,28)s(24,32,28)s(16,48,12)-s(24,32,20)c(16,16,12)+**
t(32,32,20)t(24,40,28)s(16,24,12)s(32,40,28)s(40,24,20)-+++
s(32,40,20)s(48,32,20)c(32,40,20)s(16,16,20)c(40,32,12)+-+*
c(40,24,20)c(40,40,12)t(32,24,12)+-t(24,32,28)+s(16,16,20)-
s(24,40,28)c(40,40,20)s(16,32,12)+c(32,16,12)+s(48,40,12)-*
s(48,40,20)c(32,32,12)s(48,32,20)s(32,40,28)*c(48,24,12)++-
s(32,32,28)t(24,40,20)s(16,16,12)+*s(40,24,20)+c(32,40,20)-
s(32,32,20)c(40,48,12)s(32,24,28)s(40,16,12)-+*t(40,48,12)-
s(24,24,12)t(32,48,28)c(32,32,28)*+c(32,24,20)*s(32,24,20)*
s(32,48,20)s(32,16,20)c(24,24,20)*+s(24,40,28)s(8,8,12)+*
s(48,24,20)t(24,32,20)s(24,40,20)*c(32,32,28)s(24,24,28)-++
s(8,16,12)s(16,40,12)+s(40,32,20)+c(40,16,12)-c(40,24,20)-
s(32,24,20)s(24,16,20)s(48,32,20)+c(16,16,12)-c(40,24,20)**
s(32,24,20)s(16,40,20)+c(40,40,12)-c(40,24,20)s(40,32,28)*-
s(40,32,28)t(48,16,12)s(40,48,20)+t(24,24,12)+*t(40,32,20)-
s(16,40,20)c(40,40,12)s(48,48,12)+c(40,40,20)s(24,24,28)*+-
s(32,32,28)c(40,32,12)-t(24,40,20)-s(16,24,20)+t(24,32,20)-
s(24,8,12)c(24,24,20)s(32,40,28)*+t(24,24,12)-c(48,48,12)+
c(32,24,20)t(32,48,20)-s(16,16,20)-s(40,16,12)c(24,32,12)+*
t(32,40,28)c(32,40,20)t(32,40,28)c(32,32,20)t(32,32,12)-*--
s(48,24,20)s(24,40,20)c(32,40,20)s(24,48,12)t(24,16,12)+-+-
t(24,32,28)s(16,24,20)t(32,40,28)c(24,24,20)+t(16,24,12)-*-
s(40,32,20)t(40,48,20)-s(48,24,12)+c(32,40,20)s(24,24,28)*-
t(32,48,20)s(32,40,20)+t(24,32,20)c(40,32,20)+c(40,24,20)**
c(32,40,20)s(32,48,20)s(40,16,12)c(32,32,20)+s(40,32,20)-++
t(32,32,28)t(24,40,12)-s(32,48,12)s(48,16,12)+-t(48,32,12)-
t(32,40,28)s(32,24,28)s(48,40,20)s(24,24,28)-+*t(24,32,28)*
c(40,32,20)c(24,48,12)-s(24,48,12)s(40,24,20)+*t(32,32,28)*
c(24,40,20)s(48,24,20)c(40,32,20)s(40,40,28)**-c(32,32,20)-
s(32,32,28)s(24,40,28)*t(32,48,28)*c(32,32,20)c(24,24,12)-*
s(24,40,20)s(32,32,20)s(40,48,20)c(32,32,12)-s(48,40,20)++*
s(32,32,28)s(24,40,28)c(40,16,12)s(16,48,12)+s(32,32,20)+*-
s(40,16,20)s(32,24,20)c(24,24,20)s(16,32,20)--s(40,48,12)++
t(32,56,12)c(24,24,12)t(40,40,12)+c(24,24,20)*+t(24,48,28)+
c(32,40,20)s(32,48,20)s(32,32,28)*s(40,48,20)*t(24,48,20)+*
s(40,32,20)s(40,40,20)c(24,32,12)-c(24,32,12)++c(32,40,20)*
s(40,24,20)s(24,24,20)+s(40,48,12)t(32,16,12)+-t(32,32,12)-
t(32,48,20)c(32,40,20)t(32,40,28)*t(48,40,12)-+s(32,32,12)-
s(24,16,12)t(32,32,28)+c(48,24,12)-c(32,24,20)*c(16,16,12)-
t(48,24,12)c(32,40,20)+c(24,40,20)c(40,24,20)-*s(8,40,12)-
c(40,32,20)s(32,40,28)s(40,32,20)+*s(24,16,12)+s(32,16,20)-
t(24,32,28)s(24,24,20)s(48,48,20)+t(32,48,28)*-s(24,32,20)*
s(32,32,28)s(24,8,12)+c(24,40,20)*c(24,40,12)c(40,24,20)+*
s(48,32,20)s(48,40,12)s(40,16,20)+c(32,32,20)t(32,24,12)-*-
c(48,16,12)s(8,24,12)+s(32,16,12)c(32,40,20)++c(48,40,12)-
t(24,48,28)s(32,32,28)*t(40,32,20)-s(24,48,12)+t(24,24,20)-
t(24,32,28)c(40,40,20)*t(40,40,20)s(32,40,20)*+s(40,48,12)-
s(16,24,12)c(32,40,20)s(32,8,12)s(48,32,20)+*+c(32,24,20)*
c(32,32,28)c(48,40,12)-s(32,24,20)s(24,40,28)+*s(40,24,20)*
t(32,48,28)s(24,24,12)+s(32,40,28)*t(32,32,28)t(32,40,20)*-
t(32,32,20)c(32,48,12)+s(40,24,12)-s(24,8,12)t(16,40,12)+-
s(24,40,12)s(16,48,12)+s(32,24,20)+t(40,40,20)s(48,40,20)*-
s(40,48,20)s(32,32,20)s(40,16,12)-s(32,32,20)s(40,40,20)---
s(32,40,28)t(40,48,20)s(32,40,20)s(32,24,20)*+c(16,48,12)+*
t(16,24,12)s(24,32,28)s(32,24,20)s(40,40,20)c(40,32,20)*-*+
t(48,56,12)s(32,40,12)+s(48,24,20)-c(24,32,20)s(16,24,12)-+
s(24,40,20)t(40,32,20)+t(16,56,12)c(32,32,20)s(48,32,20)*+-
s(24,32,12)s(40,32,28)t(16,32,12)+s(24,48,20)*+t(40,24,20)+
s(32,16,20)s(40,32,28)s(48,24,20)t(40,40,20)+c(16,32,12)+*-
s(24,16,20)s(40,16,20)c(24,32,20)s(32,24,20)-+t(32,48,28)+*
t(16,24,12)c(48,48,12)+s(40,40,28)+c(24,24,20)*t(40,32,12)+
t(48,48,12)c(24,24,20)+c(32,40,12)t(24,24,20)+*t(32,24,12)-
c(40,32,20)c(32,32,20)t(32,48,12)-*s(16,32,20)c(32,48,12)+-
t(32,48,20)s(24,40,28)s(24,24,20)*s(40,32,20)s(32,40,12)---
c(32,32,20)t(40,32,20)t(40,24,20)t(16,16,12)+s(48,24,20)*+*
s(32,24,28)s(32,24,28)c(32,32,28)s(24,40,28)*+s(24,8,12)-*
s(24,24,20)c(32,24,20)t(24,40,28)t(16,24,12)+**t(32,24,12)+
s(40,24,20)s(24,8,12)s(24,32,20)+s(48,32,20)-s(32,16,20)+*
s(16,16,20)t(40,24,20)+c(40,32,20)c(40,40,20)*-s(32,24,20)*
s(48,48,12)s(16,48,12)+s(24,40,20)+t(32,32,28)s(32,24,28)**
t(24,48,20)s(8,8,12)+s(16,24,20)-s(24,24,28)+c(32,40,12)-
s(40,32,28)s(24,24,20)t(24,48,28)+*t(40,32,12)c(48,48,12)+-
c(32,32,20)c(24,24,20)t(24,32,28)**c(48,48,12)+s(40,24,28)-
s(40,40,28)s(16,24,20)s(24,24,20)s(40,16,20)s(48,16,20)++*+
s(32,24,28)s(16,32,20)c(32,24,20)*s(16,16,20)+*t(24,24,12)-
c(32,16,12)c(32,24,12)+s(32,32,28)*t(32,24,20)c(16,48,12)+*
c(32,24,20)t(40,32,20)-c(32,24,12)s(8,8,12)+c(40,40,12)++
s(32,24,28)s(16,48,20)c(32,32,20)s(8,32,12)+-c(24,24,12)+-
c(40,32,20)t(48,16,12)-c(24,40,20)c(24,32,20)s(32,40,28)***
t(32,32,28)s(32,24,12)s(8,40,12)++s(40,48,12)-s(16,48,20)*
c(48,32,12)t(24,40,20)t(32,40,20)++s(40,40,20)c(24,40,20)**
s(40,24,28)t(32,40,28)t(32,32,20)s(24,16,20)+*c(40,40,20)+*
c(32,24,20)t(24,32,28)s(16,32,20)s(24,24,12)--s(32,48,20)--
c(40,32,20)s(32,16,20)s(48,16,20)*+s(40,32,28)*s(40,40,20)*
s(16,16,20)s(24,32,20)s(32,24,28)*+s(32,24,28)c(40,32,20)**
s(24,48,12)s(32,32,28)t(32,40,28)s(24,48,20)**+t(32,16,12)+
s(24,48,20)t(48,24,12)s(24,24,12)+s(24,40,12)+-s(32,40,28)*
t(32,40,28)s(40,32,28)t(24,32,28)-+c(40,16,12)c(24,32,12)+-
s(32,32,20)s(40,32,20)+t(24,32,28)*s(40,8,12)+c(32,24,12)-
t(32,40,28)s(32,24,20)s(32,40,20)*-s(32,16,20)s(24,32,28)*-
t(24,48,28)s(48,40,20)s(32,24,28)t(40,40,20)+c(40,32,20)*++
s(24,48,20)s(16,40,20)s(24,24,28)s(48,24,12)t(40,32,12)++*-
t(24,32,28)s(40,24,28)s(24,16,20)t(40,24,12)+t(16,24,12)-*+
c(24,32,20)s(32,48,20)s(48,48,20)c(32,32,28)*--c(16,48,12)+
s(32,40,28)s(24,40,28)s(16,8,12)+c(32,32,20)-c(40,48,12)+*
s(48,32,20)t(48,32,12)-s(32,40,28)t(40,32,20)c(48,16,12)+*-
c(32,32,20)s(24,8,12)c(24,32,20)+c(40,40,20)c(40,24,20)--*
t(32,32,28)t(48,32,12)c(24,24,20)++s(32,16,20)s(8,48,12)+*
s(32,32,20)c(32,24,12)t(32,56,12)s(8,48,12)++c(16,16,12)+*
c(16,32,12)s(48,8,12)c(32,40,20)+t(24,40,28)-+s(32,32,20)*
s(32,32,28)t(24,48,20)t(32,40,28)*-c(40,32,20)*c(32,40,12)+
c(24,24,20)t(24,32,28)c(24,40,20)s(32,32,28)s(32,24,28)+***
s(48,40,20)s(24,24,12)+c(24,40,12)t(40,24,20)++s(32,48,12)-
c(24,24,20)c(32,40,20)s(40,40,20)*+t(32,32,28)t(40,32,20)*-
c(48,24,12)c(40,40,20)+s(32,16,20)t(16,16,12)-t(24,24,12)--
t(16,48,12)c(40,24,20)+s(48,32,12)-c(32,40,20)*c(48,24,12)+
t(32,40,28)s(32,24,20)-s(40,40,20)c(40,24,20)*-s(16,32,20)-
s(8,40,12)c(40,24,12)+s(48,32,20)+s(24,48,20)+s(40,32,12)-
c(32,40,20)s(24,24,20)+c(40,24,20)-s(48,32,20)+c(16,48,12)-
t(32,32,28)c(32,32,20)*t(32,32,28)s(40,48,20)-*t(24,48,12)+
t(16,16,12)s(8,32,12)t(40,48,20)+t(32,48,28)*+s(40,32,12)+
c(24,32,20)t(32,40,28)s(32,40,20)s(40,24,20)-s(48,40,12)+*+
s(24,40,28)c(24,16,12)s(24,40,20)+c(16,32,12)-c(40,16,12)+*
t(24,40,28)s(40,40,20)t(32,40,28)*c(32,32,28)t(24,32,28)---
c(24,40,20)s(32,24,28)c(32,48,12)s(24,16,12)+s(16,8,12)--*
s(16,48,20)s(16,16,12)t(24,48,20)+c(32,40,12)++t(24,40,20)-
s(24,32,28)s(24,16,20)c(24,32,20)*s(40,48,12)+*t(24,48,20)+
c(32,32,28)t(32,48,28)*t(24,24,20)-s(16,32,12)+s(16,48,20)*
s(40,40,20)s(16,40,12)c(24,48,12)+-c(40,32,20)c(40,24,20)**
c(40,24,20)s(8,16,12)t(32,48,28)t(32,56,12)-s(40,8,12)+++
s(8,48,12)s(48,32,20)s(48,24,20)s(32,32,20)+*+s(40,48,20)+
t(24,24,20)s(32,40,28)s(24,8,12)+t(24,40,12)-*t(32,56,12)+
c(16,48,12)c(16,24,12)+t(16,32,12)-s(24,24,28)t(32,40,28)+*
s(16,40,12)t(32,32,12)s(48,48,20)+s(32,40,20)*+c(40,24,12)-
c(40,40,20)s(24,40,28)+c(48,48,12)c(48,40,12)+t(40,24,20)--
t(24,32,20)s(16,40,20)s(16,48,20)c(32,40,12)-*-s(24,40,12)+
c(24,32,20)c(24,48,12)-c(48,16,12)s(16,16,12)+c(40,32,12)+*
s(48,40,20)t(24,32,28)s(8,40,12)s(32,40,28)+*-c(40,40,20)+
t(48,32,12)s(40,48,12)+t(32,40,28)c(32,32,20)*+s(48,40,20)*
s(24,16,20)s(16,32,20)+s(40,24,28)s(24,32,28)*s(16,24,12)-*
s(16,32,20)t(48,48,12)+t(24,40,28)t(32,48,20)*+s(24,32,28)*
s(32,40,28)t(24,32,28)s(32,16,12)-t(32,32,12)--s(40,32,20)-
s(32,48,20)s(24,24,20)+s(32,24,12)-s(32,32,28)c(24,32,12)-+
c(32,32,20)s(32,32,28)c(24,40,20)-s(48,40,12)-+s(40,16,20)-
c(16,32,12)c(24,24,20)s(24,32,20)*c(32,40,20)+c(32,24,20)*+
c(40,24,12)s(48,40,20)s(32,40,28)*+t(16,16,12)s(40,40,20)+*
s(24,40,28)c(24,24,20)t(40,56,12)c(48,24,12)++s(16,16,12)-*
t(32,32,28)s(24,32,28)*s(40,40,28)t(40,24,12)-*s(32,40,20)*
c(48,32,12)c(16,48,12)s(32,40,20)s(32,24,28)c(48,16,12)-*++
c(32,40,20)s(40,16,12)t(24,48,28)s(24,40,28)s(24,40,12)-*+*
s(24,8,12)t(48,40,12)+s(40,24,20)+s(40,40,20)t(48,32,12)--
s(40,32,28)s(40,16,20)c(32,40,20)c(16,24,12)+t(32,24,20)-+-
s(40,32,28)c(40,32,20)s(32,48,20)t(32,48,28)s(32,32,28)*+--
c(40,32,20)t(32,40,28)s(40,32,20)c(32,24,20)*t(16,16,12)+++
s(40,24,28)c(32,40,20)-s(8,48,12)s(16,16,12)s(32,8,12)++-
s(32,32,20)s(24,32,28)s(48,16,20)-*s(8,32,12)+s(16,32,20)*
c(24,32,20)s(8,32,12)-c(24,24,20)*s(16,8,12)c(32,32,12)+*
s(8,48,12)c(40,24,12)+s(8,40,12)c(40,32,20)s(40,16,20)*+*
s(32,32,28)s(32,16,12)-s(32,24,28)s(40,24,28)s(48,32,20)+*-
t(32,56,12)s(48,48,20)c(40,32,20)c(32,24,20)c(24,32,20)+*-+
c(48,48,12)c(24,40,20)+c(32,32,28)s(16,48,20)*-c(48,32,12)-
c(24,24,20)s(32,24,20)s(16,40,20)+s(24,24,12)-c(32,32,20)**
s(8,32,12)s(48,40,20)+s(32,32,20)s(48,40,12)--s(48,40,12)-
s(40,24,12)c(16,16,12)+c(24,32,12)s(32,16,12)+s(16,48,20)--
c(40,48,12)s(32,48,20)s(16,40,20)s(48,40,12)+-+t(16,32,12)+
c(24,32,12)t(32,24,20)+t(32,40,28)c(24,24,20)*s(40,40,12)+*
s(24,40,20)s(32,32,28)s(48,48,20)-s(16,32,20)t(24,32,20)*--
s(40,40,28)s(16,48,12)s(24,40,12)+-s(40,32,28)s(24,24,12)-*
s(24,32,28)c(32,24,12)-t(32,32,28)t(48,56,12)s(48,40,12)+-+
s(48,48,20)c(40,40,20)t(32,40,28)*t(32,48,28)t(40,24,20)-*+
s(48,16,20)s(40,16,20)c(40,40,20)s(48,16,20)+*s(32,32,20)+*
c(32,48,12)t(24,32,28)s(16,48,12)-+c(24,24,20)s(32,48,12)+*
t(24,16,12)s(16,32,20)+s(48,40,12)c(16,16,12)+t(32,24,20)--
s(24,40,28)s(24,16,20)c(40,40,12)++s(16,24,20)*t(16,24,12)-
t(32,32,28)s(24,32,20)s(40,40,12)s(32,16,12)++*s(8,24,12)+
s(24,48,20)s(40,24,28)-s(40,24,28)+s(32,32,28)*c(32,32,20)*
t(24,40,28)t(32,48,28)t(24,48,20)t(48,32,12)+*+c(32,24,20)*
c(40,24,20)s(48,24,20)+s(24,16,20)s(24,8,12)s(24,32,28)+*-
s(24,32,20)c(32,40,20)t(32,24,12)-c(48,40,12)-s(16,24,20)+*
c(24,32,20)t(40,40,12)-s(24,32,28)t(32,40,20)-c(16,32,12)-+
s(24,48,20)t(24,40,28)*s(32,24,20)t(32,32,28)*+t(40,48,20)-
t(32,32,28)t(32,32,20)s(24,40,28)*c(16,40,12)+*t(32,40,12)-
t(16,24,12)s(40,40,20)t(48,16,12)++t(32,32,28)c(48,24,12)-*
s(24,24,28)c(32,24,12)-s(40,40,28)+s(40,24,28)s(32,32,20)-*
c(48,32,12)s(24,32,28)s(32,40,28)*+c(24,24,12)-s(24,48,20)*
s(16,32,20)c(32,40,20)s(40,8,12)s(24,40,12)++s(24,32,28)*-
c(40,48,12)c(32,24,20)s(40,40,12)-+s(24,40,20)s(40,16,20)+*
s(24,32,20)s(32,32,28)s(16,32,20)*t(32,32,28)*s(32,40,12)+*
s(16,32,20)c(40,48,12)s(40,24,28)+c(32,40,12)--t(40,48,12)+
c(32,32,28)s(32,48,20)*s(24,16,20)c(24,32,20)*+t(32,32,28)-
c(32,32,28)s(32,24,20)s(24,40,28)c(40,32,20)s(32,40,12)-+*-
c(32,32,20)s(24,48,12)t(40,32,20)t(32,32,12)-+-s(24,24,28)*
s(48,16,20)c(24,24,12)+t(48,24,12)s(24,32,28)s(16,32,20)-+*
s(16,16,20)s(32,48,20)c(32,24,20)c(40,40,20)*-s(24,8,12)+-
t(32,40,12)s(32,16,12)+t(48,40,12)+t(24,48,28)s(24,40,28)*-
c(24,48,12)t(24,24,12)+c(16,48,12)+c(24,40,12)+t(24,40,20)-
s(48,16,20)s(40,16,20)s(16,16,20)t(48,40,12)++*c(24,24,20)-
t(24,40,28)s(48,24,12)s(16,40,20)+c(32,24,12)-+c(16,48,12)-
t(16,24,12)c(40,40,20)t(32,24,12)-s(32,24,28)*+c(16,24,12)-
t(40,16,12)t(32,48,28)s(32,48,12)-s(40,48,20)+s(40,32,28)*+
s(48,8,12)s(40,40,20)+s(40,32,20)t(24,40,20)-*s(16,48,12)+
s(40,24,28)s(16,8,12)c(16,32,12)+c(40,40,12)+*c(16,16,12)-
t(40,40,20)s(32,40,20)*s(24,24,20)s(32,32,28)c(24,24,20)**+
c(32,32,20)s(40,32,28)s(40,16,12)-t(32,40,12)-s(32,24,20)*-
c(24,24,20)c(40,32,20)s(40,40,28)**s(32,8,12)+c(40,16,12)-
c(32,32,28)s(16,32,20)t(40,32,12)+s(40,40,12)-*s(40,32,28)*
c(16,16,12)t(32,32,28)t(32,40,28)*+s(48,32,12)+c(40,16,12)+
s(32,32,28)c(40,24,20)*s(24,32,28)*s(24,40,28)*s(24,16,12)-
c(16,24,12)c(16,16,12)+s(16,8,12)-t(24,40,28)+s(32,32,20)-
c(32,32,20)s(24,32,28)s(24,32,12)-t(24,32,28)*s(32,48,12)--
s(32,32,20)s(40,40,12)-c(24,40,20)s(32,40,28)**c(40,16,12)+
t(32,48,28)s(40,24,12)t(48,48,12)++s(8,16,12)c(48,24,12)++
t(32,40,20)c(32,24,20)t(40,32,12)-c(16,16,12)-c(32,48,12)+*
s(40,32,28)c(16,40,12)+c(40,48,12)-c(32,32,20)t(40,40,12)-*
t(32,48,28)c(32,32,28)s(48,48,12)-s(32,24,28)*s(24,40,28)-+
s(48,40,20)t(32,32,28)s(24,8,12)+s(24,48,20)--t(32,24,20)+
s(48,24,20)s(32,16,12)-s(48,40,12)t(24,48,12)++s(32,24,28)*
s(24,32,28)s(32,16,20)t(40,40,12)+s(32,48,20)+*s(40,40,28)*
s(24,24,20)s(24,40,20)c(24,40,20)t(24,40,28)**t(40,24,12)+-
t(48,56,12)t(24,40,20)c(24,24,20)s(16,24,12)-c(16,40,12)--+
t(16,40,12)s(40,32,28)t(48,40,12)-s(24,24,20)*+s(24,40,28)*
c(40,32,20)t(24,24,20)-s(24,16,20)s(40,40,28)+s(32,16,20)*-
t(16,16,12)s(24,24,28)c(40,40,12)+t(24,32,28)s(16,48,12)+*+
s(48,16,20)c(16,40,12)+s(48,32,12)t(40,48,12)+t(32,24,20)-+
t(40,40,20)c(24,48,12)c(32,32,20)s(40,40,20)*+s(32,16,12)+*
c(40,40,20)t(32,32,28)*s(24,32,28)*s(32,16,20)s(32,32,28)*+
s(40,8,12)c(40,40,20)t(32,32,28)*+t(32,40,12)-t(32,32,12)-
t(32,32,28)c(40,32,20)*s(40,32,20)s(40,16,20)*+c(24,24,20)-
t(48,16,12)s(32,40,20)s(32,32,28)s(48,48,20)-s(40,40,28)*-+
s(24,24,20)s(48,16,20)s(32,32,28)s(40,48,12)s(40,32,20)+*-+
s(24,40,28)c(16,40,12)-t(32,48,28)*s(40,8,12)t(32,40,12)+-
t(40,32,20)t(40,40,20)s(24,32,28)+*s(48,24,12)+s(32,24,28)*
s(48,40,20)c(48,16,12)s(32,32,28)++t(24,40,28)s(8,40,12)+-
s(24,24,28)t(24,48,28)s(8,24,12)+s(16,24,20)*-s(24,32,20)*
s(32,32,20)s(48,48,12)t(32,48,28)c(32,40,20)s(48,16,12)+*+*
c(32,32,28)t(32,48,28)t(32,56,12)-c(24,24,20)--t(32,32,12)-
t(40,48,20)s(40,24,12)+t(24,40,28)s(16,32,20)++s(40,48,20)*
c(32,32,20)t(48,16,12)s(24,32,28)s(40,40,20)-+s(32,8,12)+*
t(24,32,28)s(40,16,20)c(32,40,20)-s(24,32,20)+c(40,32,20)*-
t(24,32,20)t(32,48,28)s(32,40,28)c(40,32,12)-*s(16,40,12)--
s(40,24,20)t(48,32,12)s(16,40,20)s(8,16,12)++s(40,32,20)+*
s(32,48,20)t(32,32,20)+s(16,40,20)s(32,32,28)+s(40,24,28)**
s(24,24,20)t(16,24,12)t(24,48,20)+c(24,40,20)s(24,48,20)---
c(32,40,20)t(32,40,28)*s(32,24,20)s(32,48,12)+*s(40,32,12)+
c(24,40,20)s(8,40,12)-s(24,32,28)s(32,40,28)*s(48,40,20)-*
s(16,32,20)t(48,24,12)t(48,56,12)c(32,40,12)+++s(32,24,20)*
c(24,16,12)s(40,32,20)+s(40,24,20)*s(48,16,12)-s(32,32,28)*
s(32,24,28)t(32,32,28)c(24,48,12)c(32,32,20)s(32,40,28)*+*-
t(24,48,28)t(24,40,28)s(40,24,28)s(40,32,28)s(24,32,28)+*--
c(32,40,20)c(40,24,20)c(40,32,20)*c(24,32,12)+*s(40,40,12)-
c(24,16,12)s(32,48,20)t(24,48,12)c(40,16,12)+-t(32,40,20)++
s(24,32,12)c(40,16,12)+c(40,24,20)*s(48,40,20)+c(32,32,28)*
t(32,24,20)s(8,16,12)s(24,24,20)+*s(16,24,20)+t(48,56,12)+
s(32,32,20)t(32,24,20)+c(24,40,20)s(32,32,28)**c(24,24,20)*
s(24,40,20)s(40,32,28)c(32,32,20)+c(24,24,12)s(24,40,20)+-+
s(40,40,28)c(32,32,28)s(24,48,20)s(16,48,12)-s(40,48,20)*-*
s(40,32,28)c(32,32,12)-s(16,48,12)+c(40,24,20)c(40,48,12)+*
t(16,16,12)t(40,40,20)c(32,32,20)*s(40,32,12)++s(24,40,28)*
s(8,48,12)c(48,24,12)s(40,16,20)t(32,40,12)++s(32,40,28)-+
t(32,48,28)s(32,32,28)t(24,32,28)*t(32,32,28)t(24,32,20)*--
t(40,32,20)s(48,32,12)s(24,24,28)c(40,40,20)s(16,40,20)+*+*
c(16,16,12)s(24,24,28)c(32,24,20)-t(40,48,12)++c(40,16,12)+
s(40,32,20)t(24,32,28)s(8,40,12)s(48,24,12)++c(32,48,12)-*
c(16,16,12)s(32,32,20)+t(32,48,12)+t(40,56,12)+t(24,40,28)*
s(24,40,20)s(16,8,12)+s(24,32,20)-t(48,24,12)+s(24,48,12)-
s(32,48,20)t(32,40,28)+s(40,24,12)-s(32,40,20)*s(24,40,12)-
t(32,40,28)c(24,40,20)c(16,40,12)-s(48,24,12)s(40,16,12)+++
s(40,16,12)s(32,24,12)t(40,32,20)+t(32,32,28)c(48,48,12)-*+
c(24,32,20)s(24,24,28)c(16,32,12)-s(32,40,12)-s(40,40,28)--
c(24,32,20)c(24,48,12)-c(48,16,12)+s(24,32,20)s(40,32,28)*-
s(32,32,20)s(40,40,28)s(32,16,20)s(16,32,20)c(16,40,12)---*
t(16,56,12)c(32,32,28)s(48,32,12)-c(16,16,12)-s(24,32,20)*+
s(32,24,20)t(40,32,20)+s(32,32,20)c(24,40,20)c(40,48,12)-**
c(48,32,12)t(32,32,20)c(24,24,20)s(32,40,20)*++c(48,48,12)+
t(40,40,20)t(24,40,28)t(24,24,20)-+s(40,40,28)*s(32,40,20)+
t(32,48,28)s(32,24,20)s(16,48,20)t(32,48,28)*+*s(24,40,20)*
s(16,48,12)c(48,48,12)s(32,24,20)s(24,32,20)-+t(24,16,12)++
t(32,48,28)t(24,40,20)-c(32,32,20)-t(24,48,12)-s(16,8,12)+
s(48,32,20)c(32,40,12)t(40,48,20)t(24,24,20)+s(16,48,20)-+-
s(24,48,20)s(16,32,20)-s(32,40,20)c(24,40,20)*t(32,32,28)*-
c(24,24,12)t(32,40,28)s(24,40,28)*s(40,32,28)*+t(32,32,28)*
t(32,56,12)t(24,32,28)+t(32,32,28)*s(24,32,20)*t(32,32,12)-
s(40,24,20)c(24,24,12)-t(40,32,20)+s(32,8,12)s(48,48,20)++
s(32,32,20)c(32,40,20)s(32,48,20)**s(8,16,12)+s(48,24,12)+
s(32,24,20)s(24,40,28)c(32,24,20)c(24,24,20)t(16,16,12)-***
s(16,24,20)t(32,32,20)+s(32,32,20)s(32,48,12)-s(48,16,20)-*
s(32,40,12)s(48,24,20)s(40,16,20)s(40,40,28)+s(32,24,28)**+
c(40,32,20)s(16,32,12)+c(32,24,20)c(32,40,12)-*c(16,32,12)+
t(32,32,28)t(16,56,12)+c(24,32,12)-t(40,48,20)s(24,16,20)+-
s(48,48,12)s(8,24,12)+s(8,32,12)t(24,32,28)++c(24,24,20)-
t(16,24,12)t(24,40,28)s(48,32,12)+s(48,32,20)-c(32,32,20)*+
t(32,48,12)s(24,24,20)s(24,24,12)c(40,32,20)t(40,40,12)-+*+
t(32,48,28)s(32,40,28)t(32,32,28)*-c(32,40,12)-s(48,16,20)+
t(48,16,12)t(16,56,12)+t(40,56,12)+s(48,32,20)s(32,24,28)*+
s(32,48,20)c(32,40,20)+s(40,32,28)s(24,32,28)**c(48,48,12)-
s(24,8,12)c(24,32,20)s(24,40,12)s(16,24,20)+*c(40,24,20)-+
s(8,16,12)t(24,32,28)s(48,48,12)s(48,32,20)c(48,32,12)-+-+
t(32,32,28)t(32,40,28)c(48,32,12)+*t(40,48,20)+s(48,48,20)-
s(32,40,28)s(32,16,12)s(48,48,20)t(32,24,12)+s(16,40,20)++*
s(32,16,20)s(16,48,12)+s(40,24,20)c(24,24,20)*-s(32,48,20)+
c(40,24,20)s(32,40,28)s(40,32,28)*-s(24,32,28)s(16,40,20)-+
s(32,24,20)c(32,32,28)c(48,32,12)-s(32,32,28)t(40,40,20)--+
s(24,24,28)t(40,40,20)+s(32,8,12)s(40,40,28)s(40,24,20)*+-
c(40,24,20)s(24,24,28)s(32,40,20)s(24,32,20)+t(16,32,12)--+
t(40,40,12)c(48,32,12)+s(48,40,20)t(16,48,12)+*s(32,16,12)+
c(40,40,12)c(40,24,20)s(48,48,20)-s(24,8,12)s(32,24,20)+*+
s(32,40,28)t(32,32,12)-c(32,40,20)s(32,32,28)**t(32,32,20)+
s(40,24,12)s(32,40,20)+s(32,16,20)s(32,32,20)*-t(40,48,20)-
s(24,40,28)c(32,32,20)*t(32,40,28)t(32,32,28)+s(24,24,20)**
s(16,40,20)c(32,40,12)t(24,16,12)t(24,40,20)++*s(48,40,12)+
s(32,40,28)t(32,48,20)c(40,24,20)--s(16,16,20)s(40,40,12)+*
t(32,32,20)s(24,40,28)*s(16,8,12)+s(32,48,12)s(32,32,12)++
s(40,24,28)s(16,24,20)-s(40,48,20)c(32,32,28)*+t(40,24,20)*
s(24,40,28)t(40,48,20)s(24,24,28)+t(24,24,20)-s(32,40,20)+-
s(48,40,20)s(40,32,20)*s(24,40,20)t(40,32,20)+s(32,32,28)*+
t(40,32,20)s(8,24,12)s(40,40,28)t(24,40,20)-+*t(40,48,20)+
t(48,24,12)c(16,24,12)+s(48,40,12)s(24,24,28)+*c(32,16,12)+
s(16,32,12)s(48,16,20)+c(40,24,20)s(40,8,12)-s(32,24,28)*+
c(40,32,20)s(8,8,12)s(32,40,20)+s(24,32,28)t(32,32,28)***
s(40,32,28)c(24,24,12)c(48,32,12)+s(16,40,12)+*t(32,32,20)-
c(32,32,20)c(48,32,12)-s(32,16,12)+t(32,48,28)+s(48,48,20)*
s(40,24,28)t(24,40,28)s(48,16,20)t(48,24,12)s(24,32,12)+-++
t(24,48,28)t(40,16,12)s(24,40,20)s(48,32,20)+t(32,48,28)*+*
s(16,40,20)s(48,8,12)t(24,32,20)+t(24,40,28)+*t(24,48,28)*
t(40,24,12)c(24,32,20)s(32,40,20)c(40,40,12)--+c(40,32,20)*
c(32,32,20)s(24,40,20)*t(32,48,28)c(48,48,12)c(24,32,20)+*+
s(32,32,20)t(24,40,28)s(24,32,20)*s(32,24,28)*t(32,48,12)+*
t(32,56,12)t(40,40,12)+s(32,32,20)c(16,32,12)-s(40,24,28)*+
s(32,32,28)t(32,40,28)*c(24,40,20)s(48,24,20)-s(24,32,20)*+
t(32,40,28)t(24,48,20)*c(32,40,20)t(24,48,20)-t(40,40,12)-+
c(24,24,20)t(24,32,28)s(40,24,28)*-t(24,24,20)s(24,16,20)+*
s(40,32,28)c(32,32,28)c(16,16,12)s(40,24,28)c(40,40,12)-+*+
c(24,40,20)t(40,32,20)+c(32,40,20)*s(16,40,20)-s(40,24,28)*
s(32,24,20)c(40,32,12)c(48,16,12)+s(16,48,20)c(40,40,20)+*-
t(32,48,28)s(40,40,28)t(24,48,28)t(32,40,28)+c(32,32,20)**+
s(48,40,20)t(40,24,12)c(24,24,12)+-t(40,40,12)t(16,40,12)+-
s(40,24,28)c(24,24,20)t(32,48,28)--t(32,32,28)s(16,24,12)++
c(32,24,20)t(40,56,12)+s(40,24,20)s(24,32,20)--s(24,24,20)*
t(40,32,20)t(40,16,12)t(48,40,12)++t(40,24,20)+c(48,40,12)-
c(24,16,12)s(48,40,12)c(40,40,12)++s(24,24,28)*c(24,24,20)*
c(40,24,20)s(48,40,20)s(32,24,20)s(32,40,28)*+s(16,48,12)+*
c(40,40,20)s(32,32,28)+s(32,48,20)t(40,40,20)--s(16,24,20)*
s(16,32,20)t(32,48,28)-s(24,32,28)s(48,40,12)+*c(24,16,12)-
s(32,40,28)s(16,40,12)-s(32,16,12)c(40,24,20)t(32,40,28)*+-
t(40,40,20)s(40,40,28)s(40,24,28)s(24,24,28)s(16,40,20)---*
s(40,32,28)c(32,32,20)*c(16,16,12)c(24,32,20)t(40,48,12)++*
t(24,48,20)c(24,40,20)s(24,24,20)*c(48,16,12)+-t(16,16,12)+
c(24,40,20)t(24,40,28)*s(24,24,20)s(16,24,12)t(48,16,12)+-+
t(32,24,20)s(16,48,20)+s(24,32,28)*s(32,40,12)+s(16,32,20)*
t(32,48,12)s(40,16,20)t(24,48,20)+c(24,24,20)+s(24,24,28)*+
c(40,40,20)t(40,56,12)s(24,16,12)+t(24,40,28)+s(40,40,28)**
s(24,24,28)c(32,32,28)*s(40,40,28)c(24,40,20)s(32,32,28)**-
t(24,40,28)s(32,32,20)*s(16,32,12)c(16,40,12)c(32,32,12)++*
c(24,24,20)s(16,32,20)c(32,32,28)*s(40,48,20)-*t(24,32,20)+
t(32,40,28)t(32,40,28)c(24,32,20)s(24,32,28)s(24,24,12)-**-
c(32,32,20)s(8,24,12)c(16,48,12)+s(24,16,20)+-t(32,32,28)*
t(32,48,28)c(32,24,20)s(16,32,20)*-s(32,24,28)s(40,48,20)-+
s(24,40,12)c(24,40,12)c(48,40,12)+s(40,16,20)+s(40,24,28)-+
t(32,56,12)c(40,32,12)+t(40,32,12)-t(24,32,28)t(24,48,28)*+
s(32,24,20)c(32,24,20)s(24,32,20)+s(40,40,28)c(32,40,20)+**
c(24,24,20)c(16,16,12)t(32,32,12)t(48,32,12)++*t(16,24,12)+
c(32,40,20)s(48,32,20)+s(24,40,20)t(16,24,12)-*s(48,48,20)-
t(24,48,28)c(40,32,20)+c(24,32,20)*s(24,32,20)c(16,16,12)-*
t(48,16,12)t(40,40,12)+t(40,24,20)s(32,32,12)++s(32,24,28)*
c(40,40,20)t(24,40,28)s(48,32,20)s(40,48,20)-+t(32,32,12)--
c(24,40,20)s(32,24,28)t(48,32,12)-+c(40,48,12)s(40,8,12)+*
c(24,24,20)t(32,32,28)t(24,40,20)-s(48,8,12)+s(40,32,28)+*
c(24,32,20)s(32,24,28)c(40,40,12)-t(24,24,12)-s(40,40,12)+-
s(32,32,20)s(24,24,12)-s(40,24,28)s(40,24,12)-t(24,32,12)--
s(40,32,28)s(8,48,12)s(40,24,28)s(40,40,20)-+*t(32,32,12)+
s(48,24,12)s(24,40,20)c(32,24,20)s(24,32,20)*+t(32,48,28)*+
s(32,32,20)c(40,16,12)-t(32,24,12)s(24,24,12)++t(48,40,12)+
s(48,40,20)s(40,24,28)t(24,32,28)-+c(32,40,20)-s(48,16,20)*
t(24,40,28)s(40,32,20)+t(24,48,28)*c(24,32,20)s(32,32,20)-+
s(40,40,20)t(24,40,28)+s(40,24,12)s(16,48,20)+s(24,32,12)-*
t(16,16,12)t(24,32,28)+s(32,40,20)+s(8,48,12)c(32,32,12)+*
t(32,40,28)s(40,40,28)t(48,32,12)-c(32,32,28)**c(16,48,12)+
c(24,32,20)t(24,40,28)*t(32,48,28)s(40,16,12)+*t(32,48,12)+
s(32,32,28)s(16,40,12)-t(40,56,12)s(48,16,20)s(32,32,20)-+-
c(40,32,20)s(40,24,28)+t(24,32,28)t(32,32,28)*s(32,32,20)**
s(48,40,20)s(16,40,20)s(24,40,20)*+t(48,48,12)c(24,32,20)+*
s(24,40,28)t(32,32,28)s(24,32,28)t(16,56,12)+*t(48,40,12)+*
t(40,48,20)s(32,40,12)-c(24,40,20)c(40,32,20)t(24,32,28)+*+
s(8,16,12)t(32,24,20)c(40,40,12)-+s(24,8,12)+s(40,40,20)-
t(24,24,20)c(32,40,20)c(24,32,20)s(48,32,20)+*t(32,48,28)*+
t(32,32,20)s(24,24,20)c(32,32,20)t(16,48,12)s(24,32,20)+**+
s(24,24,28)s(24,32,20)s(24,24,12)--s(48,24,20)-c(24,24,12)-
t(32,48,28)c(24,32,12)-t(24,40,28)s(16,16,12)+c(16,24,12)-*
s(24,40,28)s(40,48,20)*t(24,32,20)s(48,40,20)s(48,32,20)+--
s(40,32,28)s(40,32,20)s(48,8,12)+s(16,16,20)t(32,24,20)-+*
t(24,32,28)s(32,24,20)*s(16,32,12)-s(40,24,20)+c(24,32,20)*
c(32,32,20)s(40,48,12)-s(40,40,20)*s(8,48,12)s(32,24,12)++
s(48,8,12)c(40,24,20)c(48,40,12)+t(32,24,12)-+c(24,24,20)-
s(24,24,20)t(40,24,12)t(16,32,12)+c(24,24,20)t(24,40,28)-+*
s(48,16,20)s(40,40,28)s(40,8,12)+s(32,24,20)+c(48,48,12)-+
s(24,32,20)t(24,32,28)c(24,48,12)t(16,32,12)+-s(40,48,12)+*
t(32,40,28)c(40,24,20)t(40,48,20)c(48,32,12)s(8,48,12)++--
s(40,40,20)t(32,32,28)c(40,40,20)s(40,40,28)t(32,48,28)*--+
s(40,24,28)s(32,24,28)s(48,16,20)-*t(40,24,20)s(32,48,20)+*
t(40,48,12)s(48,16,12)+t(32,32,28)s(40,24,20)t(24,32,12)--+
s(32,32,28)c(16,32,12)-t(32,40,12)-s(40,32,20)s(48,24,20)*-
s(24,40,28)s(24,48,12)s(32,8,12)+-s(32,24,12)-s(32,32,20)-
s(24,48,12)t(32,32,28)s(16,48,12)-+t(24,56,12)c(32,40,12)++
c(16,40,12)s(48,40,20)s(8,24,12)s(48,24,20)+*+c(40,40,12)-
s(48,8,12)c(24,40,12)+s(32,40,20)t(32,32,28)s(24,24,20)*-+
s(32,40,28)c(32,24,20)*s(32,32,28)c(24,32,20)s(24,40,28)***
c(32,32,28)s(32,24,28)s(40,48,20)-s(32,32,20)*-s(48,48,20)*
s(16,40,20)s(24,40,20)+s(32,40,12)-c(24,32,12)s(40,16,20)+-
t(48,56,12)s(24,32,28)t(24,48,28)-t(32,32,20)c(24,32,12)+-+
t(32,32,28)c(32,40,20)+c(24,48,12)s(32,8,12)+s(40,48,20)+-
t(24,56,12)c(48,32,12)s(40,40,12)+s(48,48,12)-+s(48,32,12)-
s(16,32,20)t(32,40,28)-s(24,48,12)+s(40,16,12)t(16,16,12)+-
c(24,24,20)s(16,24,20)c(24,40,20)-+s(32,24,20)s(24,32,12)--
c(40,24,20)c(32,32,28)s(48,16,20)s(48,40,20)-c(32,24,20)+**
c(40,40,20)s(24,24,20)s(16,40,20)s(24,32,20)-+-s(24,40,28)-
s(48,40,12)c(32,40,20)t(24,48,20)c(32,40,20)*-c(32,32,20)*+
t(40,40,20)s(24,16,12)t(24,56,12)+s(40,48,20)s(32,40,12)--+
s(40,40,20)c(24,48,12)+c(32,32,20)s(32,16,12)c(40,32,20)+*+
s(32,24,20)s(48,48,12)+c(32,40,20)t(24,16,12)t(24,32,12)++*
s(40,16,12)s(32,24,28)s(24,24,28)c(40,40,20)-c(32,32,28)**+
s(16,48,12)t(48,32,12)c(32,24,20)s(24,8,12)-s(48,16,20)*++
s(40,40,28)t(48,32,12)-t(24,40,20)s(40,32,20)t(32,16,12)-+*
c(40,40,20)c(32,32,20)t(40,40,12)-*t(40,40,12)t(48,32,12)++
s(24,40,20)s(8,16,12)+t(24,32,20)*s(40,16,20)s(32,24,28)*+
t(32,48,28)t(40,48,20)*s(32,24,28)s(32,48,20)-s(32,32,20)-+
s(32,32,12)s(24,32,28)t(32,40,20)-s(32,16,20)c(48,48,12)+*+
s(32,40,20)s(32,32,20)*s(16,32,20)s(16,16,20)s(24,24,28)+*+
s(32,48,20)t(32,32,28)t(16,56,12)+s(8,40,12)++s(16,40,20)*
c(24,40,12)s(48,24,20)s(32,24,28)+t(32,32,12)-s(40,16,20)*+
t(24,32,28)t(32,32,28)c(40,40,20)s(48,32,20)*+*t(32,40,20)*
t(32,40,28)s(24,24,12)c(32,40,12)+-s(24,48,12)s(32,24,28)++
s(24,32,28)s(32,48,20)*s(24,8,12)c(24,24,12)s(24,16,12)+++
t(24,40,12)s(16,24,12)+c(32,32,28)s(32,24,12)-t(24,48,20)*+
c(32,32,12)t(40,48,20)+c(32,32,20)c(16,32,12)c(40,40,12)+*-
s(40,32,20)t(24,40,28)-s(24,32,12)+s(40,32,28)t(32,32,28)**
c(24,40,20)t(32,32,20)*s(8,40,12)+t(24,56,12)s(32,24,28)+*
s(24,16,12)c(32,32,20)s(32,48,20)-+s(24,24,28)s(8,40,12)-*
t(24,24,12)t(40,32,20)+t(40,48,12)+c(40,48,12)-c(24,24,20)*
t(24,24,12)t(40,48,20)+c(40,40,20)c(40,24,12)c(16,16,12)+-*
s(24,32,28)s(32,24,12)c(48,16,12)+c(24,32,12)+-s(24,40,12)-
s(24,24,28)t(40,32,20)s(40,32,28)t(32,24,20)t(24,40,20)--+*
s(8,32,12)t(40,24,20)+s(32,32,20)t(32,40,12)-s(24,40,12)--
s(48,24,20)t(24,32,28)s(16,24,20)t(40,56,12)+--s(32,40,28)-
t(32,40,20)s(32,24,28)+t(32,32,12)-s(24,40,20)-s(32,40,20)+
s(32,24,20)t(24,32,28)s(24,32,20)*-c(48,16,12)s(32,48,20)++
c(24,32,20)s(32,24,20)*s(40,32,20)s(40,16,20)s(40,16,12)--+
s(24,32,20)c(24,16,12)-s(40,32,12)-t(32,16,12)+s(16,40,20)*
c(40,40,20)s(32,24,20)s(8,48,12)t(32,24,12)+s(48,16,12)++*
c(48,24,12)t(24,48,28)+t(24,40,28)-c(24,40,20)s(24,24,20)*+
s(32,16,12)s(24,32,20)+c(40,24,20)s(40,48,12)+*s(24,40,12)-
s(24,40,20)t(32,32,20)+t(24,48,28)s(24,32,28)+c(32,24,12)-+
s(24,32,28)t(24,40,28)c(40,32,20)s(40,24,20)---c(32,32,20)*
s(24,32,20)t(40,32,12)+s(24,24,20)*c(16,16,12)-c(48,24,12)+
s(40,16,20)t(24,32,20)s(24,24,20)+s(40,8,12)s(48,16,12)++*
t(16,40,12)c(24,32,20)t(24,16,12)-s(40,32,28)*t(40,16,12)++
t(32,40,28)s(24,40,20)c(24,40,20)t(32,24,20)-*-s(48,16,20)-
s(16,40,20)s(8,8,12)s(24,48,20)+s(32,40,20)*+s(24,48,20)*
s(48,16,20)c(16,16,12)+c(16,48,12)+c(24,40,12)-c(48,32,12)-
s(32,48,20)s(24,40,28)t(32,24,20)+c(32,16,12)s(24,40,12)+*-
s(16,24,12)s(48,24,20)+t(32,40,28)s(48,8,12)+t(24,32,12)-+
s(40,40,28)c(24,32,20)*c(40,24,20)c(32,24,12)c(16,40,12)+--
t(48,16,12)t(32,40,28)s(32,32,20)c(40,40,20)s(32,48,20)*+*+
s(40,48,20)c(32,16,12)+s(16,32,20)s(32,24,28)s(40,8,12)-*-
s(24,32,20)c(32,32,20)s(32,16,20)*-s(24,24,28)s(32,16,12)-*
s(32,40,28)t(40,32,12)s(24,40,28)s(48,16,12)c(32,48,12)+*+-
t(32,48,12)t(16,32,12)s(24,32,20)t(32,32,28)*+s(40,24,28)*+
s(32,16,12)s(24,32,20)c(40,40,12)-+t(32,32,20)t(24,24,20)++
t(24,48,28)c(32,40,20)*s(8,8,12)t(24,40,12)t(32,48,20)+++
c(32,24,20)s(24,32,20)s(40,40,20)t(40,24,20)-t(40,32,12)---
s(32,48,20)s(24,24,20)c(40,32,20)+s(32,16,12)-s(24,40,20)*-
s(8,32,12)s(24,40,20)s(8,16,12)++s(24,40,28)s(40,32,28)**
s(32,24,28)s(24,24,28)*s(32,24,12)-s(48,40,20)t(32,16,12)+-
s(40,32,28)s(24,24,20)-s(40,16,12)+c(32,40,20)-c(48,32,12)-
t(32,32,20)c(32,32,12)t(40,48,20)+c(32,40,20)s(24,24,20)-*+
s(8,32,12)s(40,24,28)+t(24,32,28)c(24,32,12)-c(24,32,20)*-
c(40,24,20)c(32,32,20)s(40,32,28)**s(32,40,28)*s(16,24,12)+
s(32,32,12)s(16,16,20)+s(16,48,12)+t(24,32,20)s(48,32,12)+*
c(40,32,20)c(48,32,12)s(24,32,12)s(32,32,20)t(24,48,20)-++*
t(24,40,20)s(40,16,12)c(40,40,20)s(48,32,20)-s(32,40,12)-++
s(24,16,12)c(16,16,12)+s(32,24,28)*s(24,32,28)c(40,32,20)*+
t(24,40,20)t(16,16,12)c(48,40,12)s(8,8,12)+++s(16,32,20)+
t(32,40,28)t(32,40,12)s(8,40,12)+-s(16,32,20)s(32,40,20)+*
s(32,16,20)s(24,24,12)s(24,40,20)++s(32,40,28)s(16,16,20)--
s(40,8,12)t(40,24,20)+c(32,24,20)*s(32,16,20)*t(32,40,12)+
s(32,16,20)c(24,40,20)s(40,24,28)+t(32,24,20)-t(40,32,20)++
t(32,32,28)c(16,48,12)-s(16,16,20)-s(40,32,20)*s(40,16,12)-
t(32,32,28)s(32,8,12)t(32,16,12)s(16,24,20)+c(24,32,20)*++
s(32,24,28)s(40,16,12)s(24,32,20)+*c(24,40,20)*s(32,40,20)*
t(32,48,20)t(24,32,28)c(24,32,12)-s(16,48,20)++t(40,40,12)-
s(40,16,20)s(32,32,20)c(16,32,12)--t(32,24,20)-c(24,24,20)-
c(32,24,20)t(24,32,28)c(32,40,12)-+c(24,40,20)s(48,8,12)+-
c(24,40,20)t(40,24,20)+s(24,24,20)s(40,32,12)+c(24,32,12)--
c(24,40,20)t(32,32,20)c(48,40,12)s(32,32,20)+s(32,40,20)*++
s(40,40,20)s(40,32,20)*s(40,16,20)+t(16,40,12)+s(48,48,20)-
c(24,40,12)s(24,8,12)+s(24,40,28)t(32,40,28)*t(24,24,20)+*
s(32,40,28)c(40,24,20)t(40,32,12)-*t(32,32,20)+t(32,32,28)*
s(24,24,28)c(40,40,20)+t(24,32,28)c(40,40,12)-t(24,56,12)+*
t(48,48,12)s(24,40,20)t(24,24,12)-s(40,24,12)+c(40,24,20)*+
s(8,40,12)c(24,32,12)t(40,40,12)+t(32,40,28)*s(32,24,28)*+
s(32,40,20)c(16,40,12)s(48,40,20)+*t(16,24,12)+t(24,48,20)-
s(24,40,28)s(24,24,12)-c(40,40,20)-c(40,32,20)+t(24,40,20)*
s(40,40,28)t(32,40,28)s(48,8,12)+*s(16,40,12)+s(32,48,20)-
c(24,40,20)s(48,40,20)-s(8,40,12)-s(48,32,20)c(40,40,12)++
c(24,24,20)c(16,24,12)-s(24,48,12)-s(24,24,28)c(40,24,20)**
s(32,24,20)s(8,48,12)+s(32,40,28)s(24,32,20)*s(16,48,20)--
s(24,32,28)c(32,32,28)s(24,24,28)s(32,24,20)-**c(32,32,20)+
c(40,16,12)t(32,48,28)t(32,24,20)c(24,48,12)+s(32,24,28)*-+
c(24,40,20)t(40,32,12)-s(48,16,20)c(40,40,20)+s(32,16,20)-+
t(32,32,28)t(16,56,12)c(24,32,20)+t(16,32,12)-*t(40,24,12)-
t(32,32,28)t(32,48,12)s(48,24,12)s(24,32,12)++s(24,40,28)+*
c(24,40,20)s(48,48,12)+s(40,48,20)-c(32,24,20)s(48,16,20)-+
s(48,24,20)c(24,32,20)+c(16,48,12)-c(48,24,12)s(32,16,12)+*
c(32,32,12)c(32,32,28)s(40,40,20)-+s(32,32,20)s(24,40,28)**
s(32,40,28)s(24,32,20)s(48,24,20)+c(40,32,20)t(40,16,12)-**
s(16,32,12)s(32,16,20)s(40,24,20)*s(8,32,12)++s(40,32,28)*
s(24,40,12)c(40,24,12)+s(48,16,12)-c(16,48,12)-s(48,24,12)+
s(24,24,28)s(16,32,20)t(40,24,20)+c(16,48,12)-t(32,40,20)-*
t(24,32,28)t(32,32,28)t(48,56,12)s(32,32,28)+c(24,24,20)-+*
s(24,24,20)c(48,16,12)t(24,32,28)s(32,40,20)s(32,24,28)**++
s(40,32,28)s(16,16,20)-s(40,24,20)s(40,32,20)**s(16,24,20)+
c(32,24,20)s(40,32,20)c(24,32,20)*-s(32,40,20)-c(16,24,12)-
s(48,32,12)s(32,48,20)s(8,40,12)+t(24,40,12)-+t(24,48,28)*
s(40,16,20)c(40,24,20)c(24,16,12)c(40,40,12)++s(48,40,20)+*
s(32,48,20)t(24,40,28)c(48,32,12)+*c(24,40,20)t(32,24,20)-*
c(24,24,20)s(24,32,20)t(24,40,28)*-c(32,32,20)+s(24,40,28)+
c(40,32,12)s(24,24,28)t(24,48,28)c(40,24,20)s(32,24,20)*--+
s(48,32,20)s(32,24,28)*c(48,40,12)+t(48,24,12)c(48,48,12)+*
t(40,48,12)s(32,24,28)s(48,16,20)c(24,32,20)c(32,24,20)*+*+
c(24,24,20)s(32,40,28)t(24,32,12)--t(48,32,12)+c(40,32,12)-
t(32,40,12)c(24,32,20)c(48,48,12)+t(24,48,28)*s(24,40,20)*+
t(32,32,28)s(24,40,12)-t(16,40,12)+c(32,40,20)*c(24,32,20)*
t(24,32,20)c(48,40,12)+s(24,24,28)s(32,16,20)-c(40,32,12)--
t(40,32,20)s(32,32,12)s(40,40,20)s(40,24,28)t(24,32,20)+*+*
s(40,48,20)t(16,32,12)+s(24,40,28)s(16,32,12)-t(32,24,20)--
s(32,24,28)s(24,32,28)+s(24,16,20)-s(16,48,20)c(32,16,12)+*
c(40,24,20)t(32,16,12)s(32,40,28)s(16,32,20)-c(24,40,20)*+*
c(32,32,28)s(40,40,20)-s(40,24,28)s(32,8,12)-c(24,40,12)-*
c(24,24,20)t(24,48,20)-s(40,32,28)t(32,48,28)s(24,24,12)+*-
s(24,24,28)s(40,24,28)*s(32,32,20)*s(16,48,20)t(16,48,12)-+
s(48,32,20)s(32,32,28)*s(24,40,12)+c(40,40,20)t(24,32,28)--
s(40,40,28)c(32,40,20)s(24,40,28)*s(32,32,20)*t(32,48,20)--
c(32,32,28)s(32,24,20)c(32,40,20)*-s(16,48,20)*s(32,24,20)+
t(32,24,20)c(40,32,20)s(24,48,20)t(32,32,28)c(32,24,20)*+**
c(32,24,12)t(32,56,12)+s(32,24,28)t(24,32,28)-c(40,40,12)++
s(16,40,20)c(32,40,12)-s(24,40,20)t(32,56,12)+*s(48,16,20)+
s(48,8,12)s(16,24,20)s(32,24,28)*t(24,40,28)c(40,40,12)+++
s(48,48,20)t(48,16,12)+s(40,24,28)s(48,40,20)t(40,40,20)*+-
s(40,40,28)c(24,24,12)s(24,40,20)s(40,48,12)-+*c(24,24,12)+
c(40,32,20)t(24,40,20)t(32,40,12)--c(40,24,20)*c(40,48,12)-
t(48,48,12)t(32,32,28)s(32,48,20)*+s(40,40,20)t(40,56,12)+*
s(40,32,20)c(40,16,12)s(32,40,20)+*c(32,24,20)*c(24,16,12)-
c(40,24,20)s(48,8,12)-c(16,24,12)s(24,32,28)t(32,32,28)*+*
s(48,32,12)c(24,32,12)+c(40,24,12)+t(40,32,12)-t(24,32,20)+
t(32,40,20)c(40,40,20)t(32,32,28)s(40,32,28)*c(40,16,12)+**
s(48,16,12)t(32,40,20)+s(40,48,20)s(48,40,20)--s(48,48,12)-
c(40,24,12)c(32,24,20)s(32,32,20)*+s(16,24,20)c(24,24,20)*-
s(48,48,20)t(40,48,12)c(16,32,12)+t(24,24,12)-s(8,24,12)+-
c(32,40,20)t(32,24,20)s(24,32,20)s(40,24,28)*+t(24,32,28)**
s(48,24,20)s(24,48,12)t(40,40,12)+s(40,32,28)s(48,16,20)*+*
s(24,40,20)t(24,48,28)*s(16,24,12)+t(24,48,28)t(32,24,20)+*
s(40,32,20)c(32,16,12)-s(32,48,12)+t(40,56,12)s(8,16,12)++
s(8,48,12)s(40,40,28)s(24,16,20)s(24,32,28)+*t(24,40,12)-+
s(40,16,12)c(32,24,12)s(8,48,12)+c(16,40,12)s(48,40,12)+-+
s(48,40,20)s(24,32,20)+s(40,24,12)-s(16,40,20)*t(48,48,12)+
s(40,16,12)t(40,24,12)+c(48,24,12)+t(24,16,12)+t(24,24,12)-
t(32,32,20)t(32,48,20)c(16,48,12)++c(32,40,20)*t(32,24,20)+
s(24,24,20)s(16,8,12)-s(40,32,28)t(24,48,28)-t(24,32,20)+*
c(24,40,20)c(40,48,12)+t(40,48,12)-c(40,40,20)t(16,32,12)+*
t(24,32,20)c(16,48,12)t(24,56,12)+s(40,24,28)+*t(40,32,12)+
t(32,16,12)s(48,40,20)s(24,32,20)-+s(40,48,20)s(24,40,12)+-
c(40,24,20)s(32,24,28)*c(40,40,20)-c(24,40,20)+t(32,48,28)*
s(40,32,12)t(24,48,20)s(40,24,20)+c(32,24,20)*s(40,32,12)-+
s(24,24,28)t(32,32,20)c(32,16,12)+c(48,48,12)+t(32,24,12)-*
t(24,32,28)t(16,32,12)-c(40,48,12)s(48,16,20)+t(40,56,12)-+
c(32,32,20)t(48,16,12)t(24,32,28)s(40,24,28)*+*t(32,24,12)-
c(48,40,12)t(40,24,20)+t(40,32,20)s(24,8,12)+*t(40,40,20)+
s(32,16,20)s(16,16,20)c(24,16,12)-t(24,48,12)+-s(16,24,12)+
s(24,24,28)s(40,40,28)s(40,40,20)c(24,40,12)+t(24,32,20)--*
s(16,32,20)s(32,40,28)c(16,40,12)-c(32,16,12)-s(40,32,12)-+
s(48,48,20)s(48,48,12)-t(32,48,28)s(40,24,28)-s(32,48,20)*-
s(24,24,12)t(32,48,20)s(40,32,20)t(24,32,20)-++t(24,40,20)-
t(32,48,28)c(32,32,28)t(24,24,20)-*t(40,24,12)s(24,40,20)+*
c(32,40,12)s(40,32,20)+s(16,32,20)-s(48,48,20)c(32,16,12)++
c(40,40,20)c(32,40,20)s(16,48,12)-+t(24,32,28)c(48,40,12)+*
s(40,32,20)t(40,40,20)s(48,24,12)+s(40,40,20)t(24,24,20)+*+
t(24,48,28)c(32,32,28)c(32,48,12)-t(24,32,28)+s(24,40,20)*-
s(8,8,12)s(8,40,12)+s(32,32,28)s(32,32,20)s(16,40,20)+*-
s(24,40,28)s(40,32,12)-c(32,32,20)-s(32,48,12)t(16,32,12)+-
c(32,24,20)c(24,32,20)-s(40,32,28)c(24,24,12)t(40,56,12)+-+
t(32,48,20)s(48,40,20)s(24,8,12)s(40,48,20)+s(32,24,28)---
t(32,32,28)s(40,32,28)c(16,16,12)+s(24,32,28)c(32,32,20)*-+
c(24,24,20)s(8,48,12)t(24,32,28)+*c(16,32,12)t(32,56,12)++
t(24,32,20)s(48,40,20)+t(24,40,12)-t(24,32,28)*t(24,24,20)+
s(16,40,20)c(32,40,20)s(40,40,28)*+t(24,40,12)-s(32,48,20)*
s(16,48,20)c(48,32,12)+s(40,40,28)t(24,24,20)-*t(40,24,20)-
t(32,32,28)c(24,40,20)*c(40,16,12)t(32,56,12)+s(32,16,12)-+
t(24,48,20)c(40,32,20)c(32,48,12)-+t(40,48,12)c(32,48,12)++
s(40,32,28)t(24,48,28)s(40,24,28)s(40,40,28)s(16,40,20)++**
c(40,32,20)c(32,16,12)c(40,24,12)+t(32,40,28)--c(24,32,20)*
t(24,48,28)c(32,24,20)+s(8,24,12)t(32,32,28)+*s(24,48,20)+
c(40,32,20)s(24,48,20)+s(40,40,12)-c(24,40,20)*s(16,32,12)+
s(24,40,20)t(24,32,28)c(24,48,12)-+s(16,48,20)*c(32,24,20)-
s(40,24,12)s(24,32,20)s(32,40,20)t(16,24,12)+*+c(16,40,12)+
s(24,40,28)s(32,32,20)s(48,24,20)--s(24,40,20)c(24,40,12)--
s(48,40,12)s(24,32,20)s(24,16,20)s(48,24,12)s(32,24,12)+-++
s(48,16,12)s(48,32,20)c(24,40,20)-+c(40,24,20)t(40,48,20)-*
c(32,32,20)s(48,40,20)+c(48,40,12)-s(32,32,28)c(40,48,12)-*
s(32,32,20)s(32,40,28)c(40,40,20)s(48,16,12)+s(40,48,20)*-*
s(24,24,28)s(32,40,28)s(40,24,28)c(32,32,12)--t(32,40,28)*-
t(24,48,28)c(40,40,12)-c(24,32,20)t(32,40,28)s(32,32,12)-*+
s(48,8,12)t(40,48,20)s(24,40,28)s(8,48,12)s(32,32,20)++*+
c(32,40,20)s(32,32,28)s(40,32,28)*t(24,48,12)-*s(48,40,12)-
s(40,24,28)s(40,40,28)t(32,48,20)-*t(24,40,28)c(32,32,20)*-
s(32,40,28)s(48,16,20)s(40,8,12)s(40,40,20)++*s(24,24,28)+
c(32,32,20)s(24,32,12)-c(32,24,20)*s(40,16,20)+s(16,16,20)-
s(8,48,12)t(24,40,12)c(16,24,12)+t(24,40,20)+c(16,24,12)-+
c(16,32,12)c(40,24,12)s(48,16,20)+s(40,40,20)++t(40,24,20)-
s(32,32,20)t(40,48,20)+s(48,48,20)s(48,40,20)+*s(16,32,20)+
t(40,32,12)s(40,48,20)s(32,40,20)s(40,32,20)*c(16,24,12)+-+
c(16,24,12)s(24,40,20)t(40,24,20)+s(40,32,12)-+t(16,16,12)-
c(32,24,20)c(16,32,12)+c(32,32,28)s(24,40,28)*t(24,40,20)--
s(8,40,12)s(16,40,12)t(40,32,20)+s(48,16,12)++s(24,24,28)-
s(48,40,20)s(24,48,20)s(32,24,20)c(24,16,12)+s(32,32,12)-+-
s(48,24,20)s(24,24,12)+t(40,24,12)-s(32,16,12)-s(16,16,20)-
t(16,40,12)t(40,48,20)+s(32,16,20)s(40,24,28)s(48,40,12)-+-
c(32,32,28)c(40,32,20)s(32,24,20)-s(40,24,28)*-t(24,40,20)*
s(40,24,28)s(40,48,20)-t(32,48,28)t(32,56,12)-t(32,16,12)+-
s(32,16,20)s(32,16,20)c(48,16,12)+t(32,24,20)-c(24,16,12)--
t(24,40,20)t(48,56,12)s(16,40,12)+s(32,40,28)t(32,24,20)-+*
s(48,16,20)c(32,24,20)c(16,32,12)s(32,24,20)t(32,32,20)*+--
s(24,16,20)s(16,32,12)+s(16,16,20)*c(40,16,12)c(32,32,12)++
s(32,32,28)s(48,48,20)+c(40,48,12)-s(40,32,20)-t(40,32,12)+
c(24,48,12)s(40,32,28)t(48,48,12)s(32,40,20)s(24,24,12)++*+
c(32,40,20)s(40,24,12)-s(24,32,28)t(24,40,28)*c(40,32,12)-*
t(32,32,28)s(40,40,28)*s(16,40,20)+s(48,8,12)+s(24,24,20)+
s(40,24,20)s(24,24,28)t(24,24,20)s(40,48,12)+*s(40,24,28)*-
s(32,40,20)c(40,40,20)+t(32,32,28)t(24,40,20)-c(24,40,12)+*
c(32,24,20)t(24,32,28)t(40,32,12)-s(16,48,12)-*c(24,48,12)-
s(16,32,12)s(8,24,12)c(32,16,12)+s(32,8,12)-+s(48,40,12)+
s(24,24,20)t(32,40,28)c(40,16,12)t(24,40,12)+s(8,48,12)+--
t(24,32,28)s(24,48,12)s(8,32,12)+s(40,24,28)s(40,40,28)*+*
t(24,32,28)s(40,8,12)+s(40,32,12)-s(16,40,20)s(32,40,12)-*
s(40,32,20)s(40,32,28)c(40,40,20)*s(24,40,28)*c(16,32,12)-*
c(24,32,12)t(40,32,20)+t(40,32,12)s(32,16,20)+*c(16,40,12)+
c(32,32,12)t(24,40,28)s(24,32,28)t(16,16,12)-*+t(24,48,28)-
t(40,32,20)s(32,32,28)s(24,24,28)*+s(24,24,20)c(16,16,12)-*
c(24,40,20)t(32,48,28)*s(16,48,20)c(24,40,20)*+c(24,24,20)-
t(24,40,28)c(32,32,20)s(32,16,12)-*c(24,40,20)s(24,48,20)*+
s(32,32,28)c(48,40,12)s(48,24,12)+s(40,16,12)-s(32,48,20)+-
c(40,40,20)c(40,24,20)t(16,16,12)c(24,32,20)t(32,40,28)*+*-
s(24,16,12)c(48,32,12)+t(32,48,12)+s(32,48,20)c(24,40,12)-+
c(40,32,12)c(40,40,20)s(32,40,20)-s(24,40,12)++t(40,24,20)-
t(48,48,12)s(48,32,12)s(16,16,20)++s(40,32,28)-s(24,32,20)-
s(24,32,28)t(32,32,28)c(24,40,20)s(32,48,20)*+c(32,16,12)-+
t(32,32,28)c(32,32,20)s(40,24,20)s(24,24,20)*--s(32,24,20)+
s(40,24,28)s(32,24,20)s(8,8,12)c(40,32,20)+t(24,32,12)-*-
c(48,40,12)c(40,24,20)+c(24,24,20)*s(24,40,28)+c(40,40,20)*
t(16,32,12)c(40,24,20)+s(48,16,12)-c(40,32,20)*s(8,40,12)+
c(24,40,12)c(32,40,20)s(48,32,20)*c(48,40,12)+s(8,40,12)++
t(24,40,12)t(32,16,12)+c(40,32,12)+s(16,48,20)-c(32,40,12)-
c(24,40,20)c(24,40,12)s(24,16,20)+t(24,40,20)c(16,48,12)+*-
s(48,40,20)s(32,40,12)-t(32,40,20)t(24,40,28)*c(24,32,20)*+
s(40,24,20)c(24,24,20)c(32,32,20)*t(32,40,28)*-s(40,32,12)-
s(24,24,28)c(40,32,12)-c(40,24,12)s(24,40,28)+*c(24,16,12)+
s(40,32,20)c(40,24,20)c(16,32,12)t(40,24,20)+s(32,48,12)+**
s(32,48,20)c(40,24,20)+c(32,48,12)-s(24,8,12)+t(40,40,20)+
c(32,40,20)s(24,16,20)c(40,24,20)+*c(16,24,12)+c(24,40,20)*
s(16,32,20)c(40,40,20)+s(32,24,12)t(32,16,12)s(48,48,12)++*
c(40,48,12)t(32,40,28)s(40,32,28)t(24,32,20)-*+s(40,40,12)-
t(40,24,12)t(32,48,28)+c(24,40,20)c(24,48,12)s(32,24,12)+--
t(24,32,28)s(24,40,28)s(24,24,20)c(48,16,12)+-t(32,48,20)+*
t(24,40,20)s(16,24,12)t(32,48,20)s(40,24,28)-+s(16,16,12)-+
s(32,32,20)s(16,16,12)t(40,24,20)s(32,40,12)+c(24,40,20)*+*
c(48,16,12)s(48,24,12)+t(32,32,28)t(24,16,12)+t(32,24,12)-+
s(24,24,20)t(16,32,12)-s(32,48,20)s(24,32,28)*-c(24,32,20)*
t(24,40,28)t(32,40,28)t(32,24,20)-s(48,40,20)+s(32,24,20)-*
c(40,24,20)c(24,24,20)t(48,40,12)+s(40,40,28)c(24,40,20)**-
t(40,32,20)s(32,16,20)s(24,24,28)c(40,32,20)*-c(48,24,12)++
s(8,40,12)c(24,32,20)s(16,32,12)-+s(16,16,20)-c(40,40,20)-
s(32,40,20)s(40,40,20)t(24,48,28)--s(40,32,28)c(24,16,12)-+
t(40,24,20)t(24,32,28)+s(32,24,12)-c(24,24,20)-c(16,24,12)+
s(24,24,20)s(40,24,28)+s(24,48,12)s(32,40,28)c(40,40,20)*+-
s(24,16,20)t(16,16,12)-s(24,40,20)s(16,16,20)++s(24,40,28)*
c(24,24,20)s(24,16,20)*s(8,48,12)s(32,32,28)+s(24,24,20)-+
s(48,24,20)s(40,16,20)s(32,24,20)s(16,40,20)-t(40,40,12)-+*
t(24,48,28)s(24,48,20)*s(32,32,20)c(16,40,12)+s(24,32,20)*+
s(40,32,12)s(32,16,20)s(32,48,20)t(24,48,20)*++t(32,40,12)-
t(24,40,28)s(16,24,12)t(32,32,28)+s(48,48,20)t(40,16,12)+--
c(40,32,20)s(32,24,20)s(16,24,20)+*c(48,32,12)t(32,32,20)++
t(32,48,28)c(40,40,12)-s(8,8,12)s(24,40,12)+t(16,40,12)--
c(24,40,20)s(24,24,28)c(40,32,20)c(16,40,12)+**s(32,40,20)*
s(24,40,28)s(16,40,20)c(40,24,20)+*s(32,40,12)-s(24,40,12)-
s(48,32,20)s(40,32,20)c(24,24,20)c(24,32,20)*s(40,24,20)-+*
s(48,32,20)s(40,48,20)s(24,32,20)-s(40,40,20)*s(16,32,20)+-
s(32,40,20)s(24,16,12)s(24,40,28)+s(32,48,20)*s(48,48,12)-*
s(40,32,28)t(32,48,12)t(32,32,28)+t(24,56,12)s(32,16,20)+--
c(24,32,20)c(32,40,20)s(48,48,20)*-c(32,24,20)t(32,40,20)--
s(40,32,12)t(24,32,28)s(32,16,20)-+s(24,40,20)t(24,24,12)-*
t(16,24,12)s(24,40,20)c(16,48,12)-+c(24,32,12)+t(24,32,20)*
t(32,24,12)t(32,40,20)t(40,32,12)++s(40,24,28)*s(32,24,20)*
s(40,32,28)c(24,32,20)c(32,24,20)*c(40,16,12)--s(24,40,20)-
c(40,40,20)s(40,40,28)s(16,32,20)+c(24,24,20)-c(32,24,20)-*
s(24,24,28)s(32,40,20)s(40,32,20)-s(32,32,20)+s(16,40,12)--
s(40,32,28)c(24,32,20)s(16,24,20)+*t(48,48,12)s(24,48,20)+-
s(40,24,12)c(40,40,20)s(24,24,20)-s(40,32,20)t(40,16,12)-*+
c(32,24,20)t(32,48,20)-s(24,16,20)-t(40,40,20)s(24,48,12)-+
s(48,24,12)t(32,48,28)c(32,40,20)*+s(40,40,12)-t(24,40,28)*
s(24,24,28)s(48,40,12)c(48,48,12)++c(40,40,12)-c(32,24,12)-
s(24,24,12)s(24,32,12)+t(32,24,20)+s(32,40,28)+c(24,48,12)-
s(32,24,28)t(24,16,12)c(40,40,12)+s(8,24,12)+*t(40,40,12)-
c(32,40,20)s(40,40,28)*s(48,48,20)s(32,48,20)*-c(24,32,12)+
t(32,32,20)s(16,8,12)+s(16,16,12)s(40,40,28)+t(40,32,20)--
c(32,32,28)s(16,32,20)-s(48,24,12)s(48,48,12)+-s(40,24,28)+
c(24,40,20)t(32,16,12)s(40,16,12)+c(16,48,12)++s(48,24,20)-
s(16,16,20)c(40,40,12)+s(24,48,12)s(8,16,12)+s(32,32,20)+*
t(24,48,28)t(32,48,28)*s(40,48,20)*t(24,48,20)+t(40,32,20)-
s(16,40,12)s(48,32,20)s(32,48,20)+s(32,32,20)*+t(40,40,20)-
s(8,24,12)s(48,40,20)+t(24,48,20)+c(32,32,28)*c(16,40,12)+
s(32,32,20)s(24,16,20)s(40,24,28)+*s(40,40,12)-s(40,40,28)*
t(24,32,28)t(32,40,28)s(32,32,12)--s(24,40,28)*s(32,40,28)*
t(40,48,20)s(48,24,20)c(32,40,20)c(40,24,20)+s(32,40,28)*-+
t(24,16,12)s(24,48,20)+c(32,32,28)s(24,32,12)s(40,48,20)+**
t(32,32,20)s(24,24,28)s(16,24,20)-c(24,24,20)s(24,32,20)*--
s(32,24,28)t(32,32,20)t(32,40,12)--t(32,48,28)-s(48,16,20)*
c(24,40,20)t(32,40,28)s(40,32,20)*c(40,40,20)s(24,24,28)---
s(16,32,20)t(24,32,28)*s(48,40,12)t(24,48,20)t(32,40,20)++-
t(32,48,28)s(24,40,20)*s(24,48,12)+t(32,48,28)s(32,40,20)**
s(16,24,20)s(24,32,28)c(24,32,20)t(40,24,20)+t(24,56,12)+**
c(16,40,12)c(16,16,12)+c(32,32,12)c(16,16,12)+s(32,24,28)*+
s(40,32,28)t(24,32,20)-s(8,8,12)c(32,32,20)c(32,32,12)-+-
s(24,40,20)c(32,40,20)s(24,32,20)s(8,8,12)+*s(40,48,12)-*
t(24,16,12)s(48,48,12)c(32,40,12)++s(16,40,20)t(24,24,12)-+
c(24,24,20)c(40,48,12)+s(32,24,12)-t(32,32,28)*s(40,40,28)*
c(16,16,12)s(24,32,20)+s(32,40,28)*t(32,32,28)s(40,24,28)*+
c(48,32,12)s(16,40,12)+t(16,32,12)c(24,32,12)+c(40,32,12)--
t(24,40,28)s(16,48,20)c(16,48,12)t(32,32,12)+**s(24,8,12)+
s(40,40,20)c(24,40,20)s(40,40,20)-c(24,40,12)+c(40,24,20)--
c(32,24,20)c(32,40,20)s(40,32,28)**s(32,48,20)t(32,48,12)-+
c(32,40,20)t(16,48,12)-s(40,24,20)s(24,40,28)s(40,40,20)+**
t(32,16,12)t(24,40,20)t(24,32,28)+c(24,48,12)-c(40,40,20)-+
s(48,24,20)c(32,40,12)+t(24,40,28)+c(32,24,20)t(24,40,28)*-
c(32,32,20)s(24,16,20)s(24,32,20)s(40,40,12)+*-c(40,32,20)+
s(32,32,28)s(32,40,28)*s(16,16,20)t(32,48,28)c(24,40,20)*+*
c(48,24,12)c(40,48,12)s(32,24,28)t(32,32,28)-s(40,24,28)*++
c(40,24,20)s(32,40,12)-t(24,48,12)s(40,40,20)+t(40,32,12)--
s(8,48,12)c(40,24,20)s(24,24,28)*s(32,48,20)t(24,24,20)+++
s(40,24,20)c(40,40,20)+t(32,48,28)*s(40,32,12)-t(16,40,12)+
t(24,40,20)s(40,24,20)+t(32,48,28)c(32,48,12)-s(48,48,12)--
s(32,40,28)s(40,48,20)+c(24,40,20)t(24,40,28)c(40,40,20)++*
s(24,32,28)s(24,32,20)s(40,40,28)c(48,40,12)-c(40,16,12)+*-
t(24,48,28)s(32,32,28)s(48,32,20)c(40,16,12)--c(40,40,20)*-
s(40,40,28)s(32,32,28)s(32,48,20)s(24,32,20)++*c(40,32,20)+
t(24,32,20)c(24,16,12)+t(32,40,28)t(16,56,12)+t(24,48,20)*-
s(24,16,20)c(24,24,20)s(32,32,28)s(40,24,28)**+s(24,40,20)-
t(32,48,28)s(32,40,20)s(40,24,20)t(40,16,12)-c(24,32,12)--*
c(40,40,20)s(32,40,28)c(24,32,20)**s(32,32,20)t(24,24,12)-+
s(8,16,12)s(32,32,20)s(24,24,28)+s(16,16,12)-c(40,32,20)*+
t(24,40,28)s(32,40,20)t(32,48,28)**c(16,32,12)t(24,16,12)+-
s(24,24,28)t(32,32,28)s(16,40,12)s(48,16,20)+*-s(24,40,28)*
s(16,24,20)t(40,24,20)+s(16,16,20)t(24,32,28)t(32,24,20)--*
s(40,48,20)s(24,48,12)s(40,8,12)+-t(24,24,12)+s(48,48,20)*
c(32,40,20)t(40,24,12)-s(24,32,12)t(24,40,12)+s(24,48,20)+*
c(32,32,20)s(24,48,20)*s(48,32,20)+c(40,40,20)t(24,32,28)--
t(24,24,20)s(8,8,12)t(32,40,28)+t(24,40,28)t(16,48,12)-*-
s(32,32,28)s(40,24,28)s(40,32,12)-c(24,24,20)*t(48,32,12)+*
t(24,40,28)s(16,32,20)t(40,48,20)c(40,24,20)t(48,40,12)-+--
s(24,24,20)s(40,40,20)s(40,48,20)c(32,40,20)**s(8,32,12)+-
s(24,32,28)s(32,24,28)s(40,24,28)t(40,24,12)-t(24,32,28)+*+
t(32,48,28)c(40,24,12)c(24,40,20)s(32,40,12)s(8,32,12)+*++
c(24,32,20)s(24,40,20)c(16,40,12)s(32,48,12)t(16,16,12)++**
t(40,24,12)s(24,40,20)+s(40,24,12)c(24,48,12)t(16,32,12)++*
s(24,24,28)s(40,40,28)s(48,24,20)-s(40,48,12)s(40,24,28)+*-
s(24,40,20)c(16,32,12)-s(24,32,20)c(16,24,12)-+t(48,24,12)+
c(24,40,20)t(32,56,12)c(32,24,20)c(48,40,12)+s(8,48,12)++*
s(40,24,28)s(48,32,12)c(48,48,12)+-t(24,32,20)+s(40,16,20)*
c(24,32,20)s(24,24,28)s(24,32,12)-s(40,24,20)c(40,40,12)-++
c(24,24,20)s(32,32,12)s(16,16,20)+*s(24,24,28)s(40,24,28)**
s(40,16,20)s(32,32,20)s(48,16,12)+s(16,24,20)c(24,32,12)-+*
t(40,56,12)t(40,32,20)s(16,48,20)++t(24,32,28)c(32,16,12)-*
t(32,48,28)s(32,32,12)s(16,32,20)+t(24,32,28)*s(48,16,12)+-
t(24,32,20)t(40,32,20)+s(32,32,20)t(32,32,12)-c(16,24,12)--
c(40,48,12)s(32,40,20)t(40,40,12)-s(32,32,20)+c(40,32,20)*+
s(16,24,20)s(16,40,20)s(32,32,20)t(32,40,20)*+s(24,32,20)*+
c(32,32,28)s(40,48,20)s(8,8,12)+t(48,16,12)t(32,48,12)+-*
s(32,24,28)s(24,40,20)t(40,32,20)-t(32,24,20)t(48,48,12)+--
t(40,48,20)s(16,48,20)s(16,40,20)*c(40,48,12)+s(16,16,20)+*
c(32,40,20)s(32,40,28)s(40,48,20)t(24,40,20)+s(40,32,20)-**
c(32,32,12)t(32,48,20)t(24,32,20)c(48,24,12)c(32,40,20)+*++
c(40,40,20)s(32,24,12)-t(48,56,12)s(16,16,12)t(40,40,20)++-
c(32,40,20)s(40,48,20)s(40,32,20)s(48,48,20)t(24,16,12)++*+
s(32,40,20)s(32,24,20)s(24,24,12)--t(32,32,28)t(40,40,20)+*
s(24,40,28)t(32,56,12)t(48,48,12)+-c(24,32,20)t(24,48,28)-*
t(32,56,12)c(24,40,12)s(40,24,28)+s(40,32,28)*+s(24,40,28)*
c(24,40,20)t(32,32,20)s(24,32,28)s(24,16,20)-s(24,40,20)*+*
s(32,24,20)s(8,16,12)s(40,40,20)+s(32,48,12)-t(16,48,12)+-
t(32,56,12)s(24,24,28)+s(32,40,28)t(32,48,28)t(48,16,12)+*-
c(32,32,20)s(40,32,28)s(32,24,12)-s(48,16,20)-*s(32,48,20)*
c(24,24,12)c(48,24,12)+s(32,24,28)*c(48,16,12)-t(24,32,28)*
c(32,32,28)t(24,32,28)s(48,16,20)+c(32,32,12)-s(24,32,20)-*
s(24,40,20)t(32,32,28)t(48,16,12)+c(32,40,20)*t(32,24,12)-*
s(24,16,12)t(24,24,20)t(24,40,12)++c(32,40,20)*t(32,40,20)+
s(40,32,20)s(16,8,12)s(32,32,12)+s(24,32,28)+*s(16,24,20)+
s(40,24,20)s(16,48,20)+s(48,40,20)s(32,40,28)*-s(24,32,20)*
s(16,16,12)t(48,40,12)+c(40,40,20)t(40,40,20)-+s(32,40,28)*
s(32,48,20)c(16,40,12)c(32,40,20)s(40,48,20)*+s(32,32,28)**
s(48,24,20)c(24,48,12)s(40,32,28)+t(32,40,12)-s(24,32,12)-*
c(40,40,20)c(48,24,12)-t(24,48,20)-c(32,48,12)s(48,32,12)+-
c(40,24,20)s(32,16,12)-s(24,16,20)t(32,40,20)+-t(16,40,12)+
s(16,40,20)t(16,48,12)t(32,32,20)c(16,24,12)-t(48,56,12)++-
s(8,16,12)c(32,24,20)s(32,32,20)s(32,16,20)*s(48,32,12)+*+
s(40,40,28)s(40,24,28)s(40,40,28)s(24,40,20)c(16,32,12)-*++
s(40,40,12)t(24,48,28)+s(40,32,28)*s(48,32,12)c(48,16,12)+-
s(40,40,28)t(32,24,20)s(24,40,20)s(32,32,28)c(40,32,12)-*+*
s(24,48,20)c(24,40,20)+c(32,24,20)s(48,16,12)-c(24,32,20)*+
c(32,32,20)s(24,24,28)s(40,40,28)--t(40,32,12)-s(40,24,28)*
s(24,40,28)s(24,16,20)s(24,40,28)s(8,8,12)+s(24,24,20)*+*
t(40,32,20)t(24,48,28)c(16,48,12)-c(16,48,12)++c(48,24,12)-
t(16,48,12)s(32,40,28)s(24,32,20)t(16,48,12)+-+t(32,24,12)+
s(24,48,20)s(32,48,20)+t(24,56,12)-t(24,48,28)*t(24,48,12)-
c(40,40,20)s(32,24,28)*s(16,24,12)c(40,24,20)+c(16,16,12)-*
s(40,40,12)c(16,24,12)+s(16,32,20)s(40,40,28)+s(40,40,28)--
s(40,40,28)c(24,24,20)t(48,24,12)+t(24,32,12)--t(32,48,20)*
t(16,48,12)c(32,40,20)s(48,48,12)-t(24,48,12)t(32,48,12)+-+
c(32,32,20)t(40,16,12)c(32,16,12)+s(24,40,28)c(32,24,20)*+*
c(24,40,20)t(24,48,28)+c(32,40,12)-t(32,40,12)+s(40,48,20)+
t(32,32,20)s(48,48,20)c(40,40,12)-s(24,32,20)+s(32,24,28)**
t(24,40,28)s(24,40,20)s(32,32,20)+c(48,16,12)+t(40,32,20)-*
t(24,32,28)s(16,40,20)c(32,32,28)*c(32,48,12)-*s(8,16,12)+
s(40,24,12)s(24,16,20)+s(24,8,12)-t(40,40,12)+c(32,24,20)*
s(32,8,12)s(24,16,12)c(40,24,20)t(24,32,28)*+t(32,40,12)-+
s(40,24,28)t(40,32,20)t(24,56,12)c(48,40,12)++s(48,24,20)*-
s(32,32,28)s(24,48,12)s(16,40,12)+-t(24,32,20)t(40,16,12)++
c(24,40,20)s(40,40,28)t(48,40,12)-s(16,48,20)-s(24,40,28)*+
s(32,32,28)t(24,40,20)-t(24,40,28)s(16,40,12)--s(48,32,20)*
s(32,40,20)t(24,32,28)+s(40,16,12)+c(40,40,12)-s(40,48,20)-
c(32,40,20)s(32,24,28)s(48,8,12)-s(24,32,20)*s(16,24,20)+*
s(40,32,20)s(24,40,20)s(16,32,12)-c(24,24,20)c(40,32,20)*+*
s(32,32,28)s(40,40,20)s(48,16,12)t(32,32,28)+t(40,32,20)--*
c(32,32,20)c(32,24,20)c(32,24,12)-s(40,8,12)+s(16,16,12)+*
c(40,40,20)s(48,32,20)s(8,48,12)+*t(32,40,28)+t(40,24,20)-
s(40,24,12)s(16,40,20)c(48,32,12)++c(48,32,12)-c(24,40,20)*
s(40,24,20)c(32,40,20)c(32,32,20)t(32,40,20)-*-t(24,32,28)-
t(32,32,28)s(8,32,12)s(32,40,28)t(32,48,20)t(16,40,12)+-++
t(32,40,28)s(8,8,12)s(32,32,28)+*c(16,24,12)+s(48,40,20)-
t(48,32,12)s(32,16,20)t(24,40,28)-s(24,16,20)*t(48,56,12)++
s(16,16,12)s(32,32,20)+c(40,40,20)c(24,40,20)*c(24,24,12)+*
c(32,24,12)t(40,32,20)+s(32,16,12)t(40,48,12)+-s(32,40,12)+
s(16,32,20)c(48,32,12)+c(24,32,20)c(32,40,20)*s(40,24,12)-+
s(32,48,20)s(32,32,28)t(32,40,28)*s(16,48,12)-c(32,24,20)*-
s(40,40,28)c(32,16,12)c(48,32,12)+*s(40,8,12)s(48,24,12)++
s(48,40,12)c(24,24,20)+s(32,40,28)c(32,32,12)-s(8,40,12)+*
s(40,24,28)t(32,32,28)t(40,24,20)-t(16,56,12)s(32,32,28)+*-
c(24,40,20)s(32,32,28)c(40,32,20)--c(32,48,12)-s(16,16,20)-
c(32,32,28)t(24,32,28)-t(32,48,28)c(32,32,20)s(40,48,20)*--
s(40,16,20)c(24,48,12)t(40,40,12)+s(32,16,20)+c(48,24,12)-+
s(32,32,28)s(24,24,20)c(24,40,20)s(24,48,12)-*-t(32,40,28)*
c(24,24,20)s(40,40,28)s(48,16,12)+s(32,40,12)c(40,24,20)+*-
t(24,40,28)s(24,32,12)-c(16,48,12)-s(32,32,20)+s(40,48,20)-
s(32,16,20)s(40,32,28)+c(32,32,28)c(24,24,20)--s(48,48,20)+
t(24,32,28)s(16,48,12)s(24,48,12)+-t(32,40,12)-s(40,24,28)*
s(32,48,12)c(32,16,12)+s(48,48,20)-t(48,32,12)+t(32,48,12)-
c(40,24,20)t(24,40,20)-s(24,24,28)*c(40,24,12)+c(40,32,20)*
t(32,40,28)c(40,24,20)s(24,16,12)++s(40,8,12)-s(48,32,20)*
s(48,16,20)s(40,24,20)c(32,32,12)-c(32,40,20)--t(32,32,20)+
s(16,48,20)c(24,40,12)s(32,16,20)+c(16,24,12)+-s(24,24,28)-
s(48,32,12)c(16,32,12)c(16,40,12)+c(40,24,20)-+c(16,24,12)-
s(48,32,20)s(32,24,20)+s(48,32,20)-s(40,32,28)+s(48,40,20)*
c(40,24,20)s(32,24,20)*s(32,24,12)c(24,32,12)+s(40,32,12)+*
s(24,48,20)c(32,48,12)c(32,32,28)s(48,48,20)*+-s(8,32,12)-
s(32,40,20)s(40,40,20)c(48,32,12)s(16,32,20)+*-s(32,32,28)*
c(40,32,12)s(48,40,20)c(40,32,12)-s(16,40,12)+s(24,40,12)-+
t(40,40,12)s(24,48,20)+c(24,32,12)-t(24,48,28)*t(32,24,12)+
c(40,24,20)c(24,40,12)+c(40,32,20)+s(48,40,20)-s(40,24,20)*
s(48,32,20)t(40,48,12)s(24,32,28)t(40,32,20)-++s(16,24,20)-
s(24,32,28)s(40,40,28)*c(40,48,12)-s(40,24,12)+c(24,48,12)+
t(32,40,12)s(48,8,12)s(24,40,20)s(40,24,28)-t(16,24,12)+++
s(24,40,20)s(48,48,20)s(32,40,20)-+s(16,48,12)t(32,32,28)+-
t(16,40,12)s(24,32,28)s(40,40,28)*+s(40,24,28)*c(40,48,12)-
s(24,32,20)c(40,24,20)*t(24,40,28)+c(24,24,12)t(40,48,12)++
c(32,24,20)s(24,32,20)+s(32,16,20)s(24,48,12)+-s(40,16,12)+
s(24,40,20)t(48,48,12)s(32,24,20)+-t(32,56,12)s(40,24,28)+-
t(32,48,28)s(40,48,20)+t(32,56,12)-s(32,40,20)t(32,48,28)**
s(24,32,20)c(32,24,20)*s(40,40,28)s(32,24,20)*+t(40,40,20)-
s(32,16,20)s(32,24,20)c(48,16,12)-+t(24,40,28)c(32,32,12)--
t(40,48,20)s(40,24,20)s(40,32,20)t(32,32,28)**+t(32,32,28)*
t(32,32,28)t(24,40,28)s(32,24,12)-t(32,48,20)*+t(40,24,20)-
t(32,48,28)t(48,24,12)+t(24,32,28)t(24,40,20)*-s(40,32,28)-
s(40,24,20)s(32,32,20)*s(24,40,20)s(48,48,12)++t(32,24,20)*
s(40,24,20)s(32,32,28)s(24,40,20)s(48,40,12)+*+s(24,40,20)*
s(24,24,28)s(16,48,20)-s(32,24,28)s(24,32,12)-s(16,24,20)-*
c(32,32,28)s(32,24,28)s(32,24,20)-s(16,40,20)-s(16,48,20)+*
s(32,40,28)c(32,16,12)s(40,32,28)c(24,16,12)-+*t(48,24,12)-
c(40,16,12)s(16,24,20)t(24,40,12)+s(24,32,20)*+c(48,24,12)-
c(24,40,20)s(32,40,20)t(32,48,28)*s(32,40,20)t(32,48,12)-*-
s(8,48,12)s(40,24,20)s(32,24,20)s(16,24,20)*t(40,48,20)+++
t(32,48,12)c(24,32,20)s(24,40,28)*s(24,40,28)s(40,32,20)--+
s(16,40,12)c(40,24,20)+c(32,32,20)s(48,40,20)t(24,24,20)+**
t(40,40,12)t(24,40,28)s(16,16,12)t(40,40,12)+-t(32,40,28)*+
c(40,48,12)t(24,48,12)+c(40,48,12)t(16,24,12)++c(48,40,12)+
s(24,24,28)s(40,24,28)s(24,48,20)s(48,8,12)+t(24,48,20)-+-
t(16,16,12)t(32,24,12)+s(40,32,28)t(32,40,12)s(32,24,20)+*+
s(40,16,12)c(16,32,12)t(32,40,28)+t(24,24,12)s(32,48,12)+*+
c(40,32,20)t(32,32,20)t(32,40,12)-c(40,24,12)t(16,16,12)++-
s(40,32,28)t(32,48,28)c(32,32,28)*s(32,40,20)**s(40,24,12)+
t(32,24,12)s(16,40,20)+s(32,40,28)s(32,24,28)*-c(32,32,20)-
c(32,32,20)s(24,40,28)*t(40,48,20)c(24,40,12)--c(40,40,20)*
s(48,24,12)c(16,48,12)c(24,40,12)+s(24,40,20)*+s(32,40,12)+
c(32,32,12)s(24,40,20)s(40,40,12)-s(16,40,20)*+s(24,32,20)*
c(16,24,12)s(40,32,20)+s(24,40,28)+s(24,24,20)*c(40,24,12)-
c(40,32,20)t(40,48,20)t(40,32,20)s(24,24,20)++c(40,40,12)--
c(32,24,20)s(32,24,28)c(40,24,20)s(32,48,20)c(32,32,20)*-**
s(32,24,28)s(48,40,12)-s(24,32,20)s(24,32,28)c(40,24,20)*--
c(40,24,20)s(40,32,28)s(32,40,28)**s(24,8,12)+t(32,32,28)*
s(16,24,12)t(24,32,20)+s(32,40,28)c(32,48,12)-+c(32,32,20)*
t(32,32,28)s(40,40,28)+s(32,32,20)s(40,24,28)+*t(24,32,28)-
s(24,24,28)s(32,16,20)c(32,40,20)-c(16,16,12)--c(24,32,12)-
s(32,24,12)c(24,40,20)+c(40,24,20)+c(32,32,28)c(40,48,12)--
s(16,16,20)c(32,24,12)+s(32,24,20)t(40,32,20)+s(24,48,20)-*
t(40,48,12)c(24,40,20)s(48,32,20)-+s(16,32,20)s(48,40,12)+-
s(32,16,20)c(32,32,20)*s(48,24,12)+s(40,32,28)t(40,40,20)-*
s(48,40,20)s(32,32,20)+c(32,32,28)s(32,24,28)-s(32,24,12)+-
c(32,24,20)t(16,48,12)s(48,40,12)++s(48,40,20)*s(16,40,20)+
c(24,32,20)s(24,40,20)t(24,32,12)-c(48,40,12)+*t(40,56,12)+
s(48,48,20)s(32,24,28)s(40,32,20)*-t(48,48,12)s(8,8,12)+-
c(48,40,12)s(32,48,20)+s(40,40,20)t(32,32,28)c(40,32,20)***
t(24,32,28)s(32,40,28)*s(32,32,20)*t(16,32,12)-s(32,48,12)+
s(32,32,20)c(24,24,20)*t(16,48,12)+s(24,16,12)-c(32,40,12)-
t(40,48,20)t(48,56,12)+s(40,40,20)+t(24,40,28)s(40,24,20)--
s(32,24,20)t(40,48,12)s(16,24,12)+-s(40,32,28)t(24,40,12)-*
c(40,32,20)s(40,40,28)*s(32,40,28)c(40,40,20)s(32,48,12)-**
c(16,40,12)s(40,16,12)+c(32,40,20)s(24,48,20)t(32,32,12)-*-
s(32,32,20)t(48,48,12)t(40,32,20)+-t(40,24,12)s(32,48,12)++
c(48,24,12)s(16,8,12)+s(8,8,12)-t(24,48,12)+c(24,40,20)+
c(48,40,12)s(32,24,20)s(32,40,20)*+c(16,40,12)+s(48,48,20)+
s(32,40,28)s(16,32,12)-s(40,24,28)*t(24,48,28)c(32,32,12)+*
s(24,40,28)s(16,48,20)*c(48,32,12)c(32,24,20)s(40,48,12)++-
s(40,40,20)s(8,48,12)+s(16,32,20)+t(32,40,28)-c(40,40,20)-
s(8,16,12)s(48,16,20)s(16,40,20)+c(32,16,12)-s(40,32,28)*+
t(24,32,28)t(40,24,20)s(40,32,20)*-s(40,32,28)c(24,48,12)+*
s(40,32,28)s(48,48,12)-t(24,32,28)*s(32,40,28)*t(16,56,12)+
t(24,40,20)t(48,16,12)c(48,24,12)+s(48,40,20)+c(40,24,20)-+
s(48,32,20)c(24,40,20)-s(40,40,20)s(40,32,20)t(24,48,20)++*
t(32,56,12)c(24,16,12)t(40,32,12)+t(32,32,20)+t(24,40,28)*+
s(48,16,12)c(24,24,20)s(24,16,20)*s(32,16,20)++c(24,32,20)*
s(32,48,20)s(48,16,20)+t(32,40,12)-c(40,24,20)s(16,40,20)+-
t(24,24,20)t(24,40,12)t(24,48,20)c(32,24,20)s(40,24,28)+-++
t(40,40,20)c(32,24,20)s(40,24,20)t(24,40,28)s(32,32,12)-+*+
c(32,16,12)c(32,40,20)+s(40,24,28)s(24,16,20)+-c(32,32,12)+
s(16,24,20)s(24,16,20)t(24,56,12)t(40,40,20)+c(32,48,12)-+-
s(16,48,12)t(16,40,12)s(48,24,20)+c(24,16,12)s(48,16,12)+++
t(16,48,12)c(32,40,12)+s(24,48,20)+c(24,32,20)t(32,24,20)--
c(32,16,12)t(32,40,20)+s(32,40,28)s(40,32,20)*s(24,40,20)--
s(24,40,20)t(32,32,28)s(24,16,12)-t(24,40,20)-t(24,16,12)+-
s(8,24,12)c(32,40,20)t(40,48,20)-+s(24,24,28)*c(40,24,20)-
c(24,32,20)t(24,24,12)-s(16,16,12)c(32,32,20)t(32,48,28)*+-
t(32,24,20)s(16,32,20)s(24,40,28)*s(32,8,12)+s(40,40,20)-+
s(40,24,20)s(40,40,28)s(40,40,20)-s(32,40,28)*-c(32,40,20)-
s(24,24,28)s(16,16,12)-s(40,40,12)+s(24,32,20)+s(40,40,28)+
s(32,32,20)t(48,24,12)s(16,32,12)++c(40,32,12)s(32,16,12)+-
s(24,24,28)c(48,16,12)c(32,24,20)s(40,24,28)*+c(32,24,20)**
t(40,40,20)s(24,32,20)t(24,32,28)*+s(32,48,12)s(48,48,12)+-
s(32,24,20)s(8,32,12)+t(24,48,20)t(40,24,12)+s(24,16,12)+*
s(40,24,28)s(48,24,20)t(16,24,12)+s(32,40,28)--t(48,40,12)-
s(16,48,20)s(16,16,12)s(8,48,12)++s(32,40,28)*s(24,48,20)*
s(16,24,20)t(24,32,20)s(40,48,12)++t(32,32,28)s(16,24,20)--
s(32,24,12)s(40,24,28)t(32,48,20)+s(32,40,28)s(24,48,20)-*+
s(48,40,20)s(32,32,28)t(24,24,20)-c(32,16,12)-+c(32,24,20)*
c(24,24,20)s(40,24,20)+c(48,32,12)t(24,32,20)+s(40,40,28)**
s(48,32,20)s(32,24,28)t(32,40,12)s(48,8,12)+-+c(40,24,20)*
s(24,40,28)s(32,24,20)s(32,32,28)s(32,24,12)-*+c(40,32,20)*
s(40,24,20)t(32,40,28)t(24,40,20)*+t(32,48,28)s(16,24,20)+*
s(32,40,20)s(40,16,20)s(48,16,20)*+t(32,40,28)t(40,48,12)--
c(24,16,12)t(40,48,20)+t(48,48,12)s(32,24,20)s(40,32,20)*+-
c(24,40,20)s(24,48,20)s(8,16,12)+s(24,40,28)*c(32,40,20)*-
s(48,16,20)s(40,40,28)c(40,40,20)t(24,40,20)---s(32,24,20)+
t(32,32,12)c(24,16,12)s(40,8,12)t(24,48,20)+++s(16,40,20)*
s(48,32,20)t(32,48,28)t(40,48,12)--t(32,32,20)s(40,32,20)*-
c(24,40,20)t(40,32,20)s(48,32,20)*-s(32,40,28)+s(48,40,20)*
s(32,24,20)s(40,32,28)*s(32,48,12)+s(32,24,28)s(48,16,20)*+
s(40,32,28)s(40,24,28)s(48,32,20)t(24,56,12)+-c(32,32,20)*-
c(16,48,12)s(48,32,12)t(24,32,28)++s(16,48,20)s(40,8,12)+*
t(48,40,12)s(8,16,12)c(40,48,12)++s(40,32,28)+t(32,24,20)*
s(32,32,28)t(32,24,12)-c(40,40,12)-s(16,32,20)t(32,48,12)+*
c(24,24,20)c(40,48,12)+s(40,16,12)-s(32,24,28)t(40,16,12)-*
t(32,40,28)t(40,32,20)-c(16,48,12)-s(32,16,20)+s(32,32,20)-
s(48,16,20)t(24,40,20)s(24,16,20)+-s(24,24,28)s(48,32,12)++
s(32,40,28)s(32,32,28)s(32,48,20)c(32,40,20)*--t(32,32,20)-
s(40,24,12)s(48,48,20)s(32,40,20)-+s(24,24,28)c(32,40,20)*-
t(32,32,28)c(48,16,12)+c(40,40,12)s(32,24,28)s(24,24,12)-+*
t(32,40,28)s(40,24,20)+t(32,48,20)s(32,48,12)t(32,40,20)++*
s(16,32,12)s(24,32,28)c(24,24,12)t(32,40,28)+*+s(16,40,20)+
s(40,40,28)s(48,32,20)-t(24,32,20)+c(16,48,12)s(40,40,28)+*
s(24,24,20)s(32,32,28)*s(32,16,12)-s(48,24,20)s(48,16,20)*+
s(48,24,20)s(24,32,28)s(16,16,12)-c(24,24,20)*s(24,24,20)*-
s(40,40,20)s(32,32,12)s(24,16,20)s(32,24,12)-t(24,40,28)-+-
t(24,40,28)s(32,16,20)c(48,32,12)++t(24,48,28)*t(40,40,20)-
s(16,16,20)c(32,40,20)-s(32,16,20)-t(16,16,12)+c(40,16,12)+
c(24,32,12)c(48,40,12)t(40,40,20)s(24,48,12)-++c(24,32,20)*
c(24,24,20)t(32,48,20)-t(32,40,20)-t(16,40,12)+s(24,40,28)*
t(24,32,28)c(32,40,20)c(16,32,12)--s(16,40,20)+s(24,16,20)+
c(32,32,20)s(16,24,20)t(24,40,12)t(48,40,12)++*t(32,48,28)-
c(24,40,20)s(8,32,12)t(24,56,12)+t(40,24,20)+s(40,32,12)--
c(16,24,12)s(32,24,28)s(40,32,28)*s(32,16,20)*s(40,24,20)++
c(40,24,20)c(32,24,12)-s(40,16,20)s(40,32,28)*-t(24,48,28)-
s(48,48,20)t(16,56,12)c(40,32,20)+s(40,16,20)c(48,48,12)++*
s(32,16,20)c(40,32,12)c(32,32,20)s(24,48,20)-+*s(24,24,12)+
s(32,40,20)t(16,56,12)t(40,40,20)+*s(24,32,20)+s(48,40,20)-
s(24,32,20)s(32,48,20)s(48,24,20)+s(40,32,20)s(32,24,20)*--
s(48,32,20)s(40,32,28)c(24,24,20)s(24,32,20)*s(40,16,20)+*-
s(40,40,28)s(40,24,28)*t(24,32,12)-s(40,48,20)s(48,40,20)*+
t(32,48,20)s(32,40,20)*s(24,40,12)+s(40,24,20)+c(24,32,20)*
s(48,32,20)t(48,24,12)c(24,40,20)s(32,16,12)+s(32,24,28)-+-
t(32,48,12)s(32,24,20)+c(40,48,12)-s(40,24,28)*s(24,24,12)-
s(32,32,28)s(40,40,28)s(24,24,28)s(24,32,28)*t(32,40,28)*--
c(32,32,28)s(40,40,28)t(48,24,12)-t(24,40,28)c(24,40,12)-+*
s(24,40,20)t(24,40,28)*s(32,32,28)s(48,8,12)s(16,40,20)+*+
t(24,32,28)s(16,48,20)s(24,40,28)*c(32,24,20)s(24,40,20)*+*
t(40,24,20)s(48,32,20)s(40,24,28)t(32,40,20)-*+s(48,32,20)*
c(40,24,12)t(24,24,12)+s(40,24,20)t(32,32,28)*+c(24,24,20)*
c(32,32,28)t(32,48,28)t(32,32,28)*s(32,48,20)+s(48,48,20)--
s(24,8,12)t(32,24,20)+c(32,16,12)s(24,40,28)s(24,32,28)*+*
t(48,56,12)c(40,24,20)s(40,40,28)*c(40,40,12)+t(24,32,28)*+
t(32,40,28)c(40,48,12)s(32,40,12)t(24,24,20)+s(32,40,20)*+-
s(40,32,20)s(24,32,20)t(40,24,20)-c(40,40,12)+-c(24,48,12)+
s(40,32,20)c(24,32,20)s(16,24,20)+c(40,24,20)c(32,32,20)***
s(40,24,20)s(40,32,20)*s(32,24,20)*s(32,32,12)+c(48,16,12)-
c(32,40,20)t(24,56,12)s(8,40,12)++c(32,32,28)*s(24,24,12)+
s(16,16,20)s(40,40,20)s(40,8,12)+t(40,24,20)++s(32,32,28)-
t(16,40,12)c(32,40,20)s(16,24,12)+s(24,48,20)*s(32,32,28)*+
s(32,24,28)s(48,48,12)t(32,32,20)s(24,32,20)++c(40,40,20)**
s(16,16,20)s(24,32,20)s(40,24,28)t(40,32,20)-s(16,48,20)++*
s(40,40,28)s(32,32,28)t(40,56,12)t(24,32,12)+-*t(32,24,20)-
s(24,40,20)s(48,40,20)t(48,56,12)c(40,32,20)+*s(32,40,28)*-
s(48,16,12)c(24,32,20)s(32,40,28)s(32,32,28)*c(24,48,12)-*+
s(48,16,12)s(32,32,20)s(24,24,20)++s(40,40,12)-s(32,24,28)*
c(40,24,20)s(40,40,12)-t(32,56,12)+s(48,24,20)-s(16,48,20)-
s(40,24,20)c(32,40,12)+c(40,32,20)*s(16,16,20)+s(24,16,20)*
c(24,48,12)t(40,48,20)t(48,56,12)+s(40,32,12)t(24,16,12)+-+
c(24,32,12)s(8,16,12)+t(24,48,20)c(32,24,20)+t(24,16,12)-+
s(32,8,12)s(32,32,28)+t(24,48,28)t(32,32,20)+s(40,32,12)--
s(32,32,20)t(40,24,12)t(24,32,20)+*s(48,16,12)+s(48,8,12)-
t(24,32,20)c(32,32,28)s(24,24,28)*c(24,32,20)t(32,24,12)-**
s(16,32,20)t(24,32,28)*t(24,24,20)s(24,40,28)s(24,48,12)-*+
s(24,40,28)t(24,24,20)s(16,32,20)s(48,40,20)c(40,24,20)*++*
s(8,32,12)s(32,40,28)s(24,24,28)*c(24,16,12)-+s(24,48,20)+
t(24,40,20)s(40,48,12)-t(32,40,20)s(16,48,12)++s(16,24,20)-
s(40,40,20)t(48,56,12)c(32,32,12)+t(24,24,12)+t(24,32,20)*-
s(40,32,12)t(32,48,20)t(24,40,12)++s(32,16,12)+s(40,32,12)-
t(24,56,12)s(24,24,28)c(32,24,12)c(24,16,12)+s(16,8,12)+-+
s(40,40,20)c(24,32,20)s(32,32,20)t(32,48,12)+t(40,48,20)+*-
s(40,32,28)s(32,8,12)+t(32,40,28)-s(32,32,28)c(16,16,12)--
t(32,48,12)t(24,40,20)c(48,16,12)+t(32,40,28)*+s(32,24,12)+
s(48,48,20)t(32,16,12)+c(40,40,20)s(40,32,28)+t(24,48,28)*+
s(32,24,28)s(24,16,12)-c(32,32,20)s(24,48,12)-s(40,40,20)**
s(48,40,20)s(24,32,20)-t(32,32,28)t(32,40,12)-s(24,24,12)+-
t(32,32,28)s(40,40,28)c(40,24,20)c(48,16,12)-t(32,40,12)-*-
s(24,24,28)c(32,24,20)+s(32,32,20)*c(32,32,20)t(40,48,20)-*
s(48,40,20)s(40,16,20)c(32,32,20)*-s(40,8,12)s(24,48,20)+-
s(32,40,20)t(40,24,20)t(24,48,28)+c(40,32,20)*s(24,40,28)**
s(16,32,20)c(24,32,12)t(32,40,20)t(16,24,12)++c(16,48,12)+*
s(40,40,20)s(32,16,20)+t(24,40,20)s(40,48,12)+-s(24,48,20)+
s(32,32,28)t(32,48,28)c(32,48,12)-t(32,40,28)c(24,24,20)-+*
s(40,40,28)t(32,48,28)*s(16,24,20)c(24,40,20)t(32,40,28)+*-
s(40,40,12)c(16,16,12)s(40,32,12)++s(40,48,12)-s(32,24,28)*
s(48,48,20)t(40,32,20)s(48,48,20)c(40,32,20)*s(24,32,28)+*-
t(40,32,20)c(40,32,20)s(32,48,20)t(24,48,20)+*+s(40,24,28)*
t(32,48,28)s(48,24,20)+s(40,32,28)s(48,32,12)-*t(24,40,12)-
s(24,32,12)s(16,32,12)+s(8,8,12)+s(8,40,12)-s(8,16,12)-
s(32,24,20)s(16,24,20)c(16,16,12)-t(24,40,28)+c(40,32,20)*-
s(32,32,20)s(8,40,12)+s(40,40,28)c(40,32,20)*s(48,40,20)*-
t(24,48,20)s(48,8,12)+s(16,48,20)c(24,32,12)-s(40,16,20)++
s(48,40,12)c(24,40,20)+c(24,32,20)c(24,40,20)+t(24,24,20)-*
c(40,32,20)t(32,16,12)c(32,40,20)t(16,24,12)+c(24,32,20)*+*
s(48,32,12)s(32,24,20)s(24,8,12)-c(40,24,20)*s(24,24,28)*+
s(32,24,28)s(24,32,12)s(48,32,20)t(40,32,20)s(24,40,20)+-+*
t(24,24,12)s(40,32,20)+s(40,24,12)-c(32,32,20)s(16,24,12)-+
c(32,40,12)s(24,48,20)s(32,24,20)-s(16,48,20)*t(32,48,20)++
s(40,32,20)t(32,24,12)t(24,32,12)++s(48,40,20)-t(24,40,12)-
s(24,16,20)s(32,32,20)s(32,16,12)+s(24,32,28)+c(48,32,12)++
s(24,24,20)s(32,40,20)+c(32,40,20)s(40,32,20)-s(40,32,12)+*
s(40,24,28)s(32,32,28)s(48,24,20)s(48,16,20)*-t(40,40,12)-*
s(32,40,20)s(32,16,20)+c(16,16,12)-s(32,16,20)s(16,24,12)--
s(32,40,28)t(32,48,12)-s(24,32,28)*c(24,40,20)s(48,40,20)-*
s(32,32,28)c(24,40,12)-s(32,40,20)-s(48,40,20)-t(24,24,12)-
s(24,32,28)s(40,48,20)s(32,40,20)s(40,16,20)c(24,32,20)+*+-
s(24,24,28)t(40,40,20)c(32,24,20)s(40,32,20)s(40,24,12)---+
s(16,40,20)s(16,40,12)c(24,40,20)s(32,48,20)*++c(40,24,20)-
s(40,16,20)c(32,32,20)t(24,40,12)c(48,16,12)+-t(40,48,20)-+
t(16,40,12)s(24,40,12)s(48,24,20)c(32,24,20)*++c(24,40,20)*
s(32,24,12)s(48,24,20)+s(8,16,12)t(48,24,12)c(16,48,12)++-
t(24,56,12)t(32,40,20)s(40,48,20)+c(40,24,20)+s(16,48,20)-+
c(24,24,20)c(32,32,20)c(40,24,20)**s(48,8,12)s(8,40,12)++
c(40,48,12)s(32,24,28)s(32,16,20)-+c(32,32,20)+s(48,48,20)*
s(40,16,20)c(40,24,20)t(24,48,28)-*s(32,32,20)s(40,24,20)+*
t(32,48,28)s(48,8,12)t(16,32,12)s(32,32,12)s(16,8,12)+++-
s(24,24,12)c(24,40,20)t(32,48,28)s(32,24,28)--+t(32,24,12)-
t(32,32,28)c(32,32,20)c(32,40,12)-c(40,24,20)s(32,32,20)-+*
c(24,16,12)s(32,24,20)t(40,40,12)+c(40,32,20)*+c(24,40,20)-
c(24,32,20)s(32,40,28)c(40,40,20)*s(32,24,28)t(24,48,20)+**
s(32,16,12)t(24,40,28)+c(48,40,12)c(24,32,12)+s(16,24,20)+*
s(48,16,20)c(40,32,20)*s(24,16,20)s(16,8,12)-+t(32,24,20)*
s(24,16,20)s(32,24,28)c(16,24,12)-t(48,32,12)--s(24,8,12)+
s(16,24,20)s(24,32,28)*s(24,32,28)c(32,32,20)*t(24,48,28)*-
s(32,32,28)t(48,32,12)s(40,40,28)s(24,16,12)c(24,40,20)+*+*
s(32,32,20)s(48,40,20)s(40,24,20)s(40,32,20)*+s(48,40,12)-*
s(40,40,28)s(40,24,12)-s(48,48,12)-s(40,32,28)*c(32,32,12)+
c(24,32,20)c(32,40,12)s(16,8,12)+t(16,56,12)+*t(40,56,12)+
s(48,24,12)c(40,40,20)+s(24,24,28)*s(32,24,12)+c(48,32,12)-
s(32,40,12)s(24,16,20)t(32,24,20)-t(40,24,12)++s(24,32,12)-
s(24,48,20)s(24,16,12)t(48,40,12)+s(32,48,20)-+t(32,48,20)*
s(40,32,28)c(40,32,20)s(24,32,28)*s(32,16,20)++s(32,24,28)*
s(40,40,28)s(40,40,20)s(24,8,12)+s(24,8,12)--t(24,24,12)-
s(24,24,28)c(32,40,12)-t(32,32,28)t(32,32,20)c(32,16,12)+**
s(24,32,28)s(24,40,20)t(32,40,20)+c(40,40,12)+s(48,16,20)+*
s(40,24,28)c(16,24,12)c(48,16,12)t(32,24,20)++c(40,16,12)-+
c(16,24,12)t(40,32,12)+s(32,40,20)t(32,24,12)+t(32,48,28)*-
t(48,16,12)s(24,40,28)t(32,40,12)s(40,16,12)+-s(24,40,20)*+
t(40,24,20)s(24,32,20)c(32,40,20)c(32,24,20)t(24,32,12)-*--
s(24,24,20)c(24,32,20)*s(48,48,12)+s(16,24,20)*c(32,40,12)+
t(32,48,20)s(40,40,28)c(40,48,12)-s(32,24,28)*s(32,24,20)*-
s(32,40,28)t(40,48,12)s(48,24,20)s(24,32,12)++s(32,24,28)**
s(24,40,12)s(32,16,20)c(24,32,20)*+s(24,32,20)*c(48,40,12)+
c(16,40,12)s(8,16,12)t(16,24,12)s(16,32,12)+t(40,32,12)+++
c(48,16,12)t(24,48,20)t(16,16,12)t(32,48,12)+-+t(16,40,12)-
s(40,32,28)s(40,24,12)-t(24,40,28)+t(24,48,20)*t(48,16,12)+
s(32,40,20)s(40,40,28)c(32,24,20)**c(16,16,12)s(48,24,20)++
s(32,24,20)s(40,48,20)-t(24,32,12)-t(32,32,12)-c(24,32,12)+
c(40,24,20)c(16,48,12)c(40,24,12)+-c(48,32,12)c(16,48,12)++
s(24,32,20)c(32,32,28)s(40,40,28)s(40,24,28)*c(48,16,12)--*
c(32,32,20)s(32,40,20)t(24,32,20)+*s(32,24,20)t(32,32,28)*-
t(32,32,20)s(48,40,20)+s(40,16,20)s(48,32,12)--c(24,32,12)-
s(8,16,12)s(40,32,28)s(32,40,28)c(24,24,12)-c(40,24,12)--+
c(24,32,20)t(32,24,12)-s(16,24,20)s(32,24,20)s(48,24,20)-*+
t(24,40,28)t(16,56,12)s(40,32,20)s(8,40,12)t(32,32,20)+++*
c(24,24,20)t(40,40,20)s(32,24,20)c(24,32,12)++*s(40,48,20)-
s(8,16,12)t(24,32,28)+s(32,48,20)s(16,16,20)+s(32,32,20)*-
t(24,48,28)s(24,40,20)c(40,40,12)+t(32,40,28)c(16,40,12)-*-
c(32,32,20)s(48,16,20)+c(16,40,12)-t(24,32,28)*t(32,40,12)-
s(24,24,28)s(16,32,20)+t(32,24,20)t(16,56,12)+s(48,24,12)-*
s(24,32,28)c(40,32,20)c(40,24,20)*+t(24,32,28)-s(48,32,20)*
s(40,32,12)s(40,48,20)s(40,24,20)-+c(32,32,20)*s(48,48,12)-
s(32,16,20)c(48,40,12)c(40,32,20)s(32,48,20)t(24,48,20)+-++
c(32,40,20)s(32,32,28)c(40,16,12)-t(40,40,20)t(48,48,12)+--
c(24,32,20)s(16,48,20)+t(24,48,28)t(32,48,20)*-t(24,32,20)*
s(40,32,28)c(24,32,20)s(16,32,20)s(32,32,20)---t(32,32,20)+
s(16,32,20)s(24,40,28)+s(16,40,20)t(32,32,28)-s(32,16,20)+*
s(40,24,28)s(32,48,20)s(8,40,12)c(40,40,20)+*c(24,48,12)+-
c(32,40,20)s(16,48,20)-s(16,16,12)t(40,24,12)++s(24,24,20)*
c(40,32,20)s(24,40,28)c(40,24,20)s(40,32,28)c(16,48,12)+*--
t(24,48,28)c(40,40,20)+s(48,8,12)+c(24,16,12)c(24,48,12)+*
c(40,24,20)c(32,24,20)s(40,16,20)t(48,16,12)t(24,48,20)+-+*
c(32,24,20)t(32,32,20)s(40,40,28)*s(40,48,20)+t(40,32,20)*-
c(32,40,20)s(32,40,28)s(32,32,28)*c(24,40,20)s(48,16,20)+**
s(32,40,20)t(24,48,20)-t(40,56,12)-t(40,56,12)+s(48,48,12)-
t(32,24,20)s(32,32,12)+s(40,48,20)c(32,32,28)s(40,48,12)--+
c(40,40,20)s(40,24,20)s(48,48,20)-+s(24,24,28)*c(40,40,20)*
s(48,40,20)c(32,40,12)-s(40,40,28)t(32,48,20)-*s(48,32,20)*
s(8,16,12)c(24,40,20)s(32,32,12)-t(40,32,20)+c(24,32,12)-+
s(24,16,20)s(40,40,28)t(48,40,12)t(24,32,20)t(24,16,12)-+*+
c(40,24,12)s(48,48,12)s(32,24,28)s(32,32,28)t(48,24,12)-*++
c(48,48,12)c(16,40,12)+c(24,40,20)s(40,48,20)-s(24,40,20)+*
s(32,32,20)s(32,8,12)s(32,40,20)c(32,24,20)*++t(40,16,12)-
t(48,48,12)c(32,32,28)s(40,24,20)c(24,16,12)--s(32,24,28)*+
c(32,32,20)s(48,24,12)-c(32,40,20)s(24,8,12)+s(32,24,28)**
c(40,40,20)s(40,40,28)s(24,48,20)t(24,56,12)--*t(48,40,12)-
s(32,16,20)c(24,16,12)-c(16,24,12)+c(24,24,20)c(48,24,12)+*
t(40,40,12)t(32,48,28)s(40,32,28)s(40,48,20)+s(24,32,28)--+
s(24,40,12)s(24,32,28)t(16,24,12)s(48,32,12)+-s(40,40,28)-+
t(40,56,12)s(32,40,28)s(40,32,28)s(40,48,12)-*+t(32,48,28)*
s(48,40,20)c(48,48,12)t(24,32,28)+s(40,32,28)*-c(24,24,20)+
t(32,32,20)t(32,24,20)s(40,40,28)+s(32,16,20)+s(48,48,12)-*
t(48,16,12)c(40,32,20)s(48,32,20)c(32,32,20)*t(40,32,20)+-+
s(32,24,20)t(24,24,20)t(24,40,20)-+c(16,32,12)+t(32,16,12)-
s(40,48,20)s(24,24,20)s(24,40,28)t(40,40,12)-t(24,32,28)-+-
s(48,32,20)t(24,32,28)-s(40,8,12)c(24,32,20)s(16,32,20)-+-
s(24,32,12)t(32,32,28)t(32,16,12)-c(40,24,12)c(40,40,12)+*+
t(32,40,20)s(40,24,28)c(32,32,20)c(32,40,20)+t(32,24,12)--+
s(24,40,28)s(32,32,20)*s(40,40,20)c(32,24,20)-c(24,32,12)+*
t(16,24,12)t(32,32,20)+s(32,16,20)s(24,24,20)s(48,16,12)+*+
s(32,24,28)s(48,32,20)*t(32,48,20)t(24,40,28)s(32,40,12)-+-
s(40,40,20)s(32,24,20)s(32,32,20)+s(40,40,28)*c(24,32,20)*-
s(40,32,20)s(48,40,20)s(24,40,28)--s(32,16,20)s(24,24,20)*-
s(24,32,28)t(16,32,12)-s(16,24,12)c(32,16,12)+t(32,56,12)+-
t(32,48,28)c(16,24,12)c(40,40,20)s(32,40,20)s(48,48,12)-*+*
t(32,40,20)s(32,40,20)s(16,40,12)-c(40,40,20)*s(24,24,20)+*
t(32,24,20)t(32,48,28)s(16,48,20)*+s(16,40,20)*c(48,32,12)+
t(32,24,20)s(40,24,20)s(48,8,12)s(48,40,20)+s(24,40,28)--*
s(16,32,20)t(32,48,28)-c(32,24,20)c(24,40,20)-+s(40,16,20)*
s(16,32,20)s(32,40,20)s(32,32,20)s(24,24,28)*s(40,40,28)*--
s(48,24,20)c(24,24,20)s(32,32,28)*s(40,48,20)-t(40,56,12)+-
s(40,32,28)s(40,40,12)-s(24,32,20)*s(40,16,20)+s(16,48,20)+
s(24,48,20)s(32,40,20)s(40,24,28)c(24,16,12)-t(24,40,20)---
t(24,40,20)t(48,40,12)+t(24,32,28)s(40,48,20)+*s(16,16,12)+
t(24,48,20)s(8,24,12)s(16,8,12)t(24,24,12)+++t(32,32,20)-
s(48,48,12)t(32,48,28)c(40,40,20)*+c(24,32,12)+s(16,32,20)-
t(32,48,28)c(40,32,20)-s(8,40,12)c(32,32,20)t(48,40,12)-+-
s(40,32,28)s(32,8,12)t(24,40,12)+-s(40,24,20)c(40,32,20)++
c(24,32,20)s(16,48,20)s(32,48,20)*-s(32,16,20)-s(24,16,20)+
s(24,32,28)c(40,24,20)t(24,48,20)+*s(40,40,28)*t(24,40,28)*
c(24,24,20)s(48,32,20)t(32,24,20)+*c(24,24,20)s(40,32,28)--
t(48,56,12)c(40,32,20)s(48,24,20)-+c(40,32,20)c(24,24,12)+*
s(32,32,28)t(48,40,12)-s(32,16,12)-c(32,32,20)+t(32,16,12)-
s(32,24,20)t(32,32,20)s(16,32,20)t(32,40,20)s(24,24,12)++*-
s(24,32,28)c(32,32,28)s(24,24,28)s(40,40,12)--t(48,24,12)-*
t(24,32,12)c(32,40,20)t(16,24,12)s(48,32,20)+*+s(48,16,20)-
s(16,16,20)s(32,16,20)s(16,32,20)-+t(32,24,12)-s(24,32,28)*
c(32,32,20)t(40,32,20)-s(40,24,12)+s(40,40,28)*t(48,24,12)-
c(32,32,20)c(24,40,20)*s(40,32,28)s(48,40,20)*t(32,16,12)+-
s(16,24,20)s(16,32,12)c(32,16,12)s(8,48,12)c(48,16,12)+++*
c(24,32,20)s(32,40,20)s(40,32,28)+t(32,40,28)c(48,16,12)+*-
c(40,24,20)c(24,48,12)t(40,40,12)++c(40,40,20)t(40,48,12)-*
t(40,40,12)t(32,40,28)s(24,24,20)s(40,16,12)--t(32,48,20)-+
c(32,40,20)s(24,24,28)s(24,16,20)--c(32,32,20)*t(24,32,20)+
s(24,32,28)s(24,32,12)-s(24,32,28)c(40,40,20)*c(40,16,12)-+
s(32,40,28)s(40,48,20)t(48,32,12)-s(24,32,28)-c(24,40,12)+*
s(40,40,20)t(24,48,20)-c(24,40,20)+t(24,48,20)c(24,24,20)--
s(32,16,12)s(40,40,28)c(40,24,20)s(32,24,28)**+s(48,32,20)*
c(16,40,12)s(32,32,12)+s(24,32,28)t(32,40,20)c(24,24,12)--*
s(32,24,12)s(24,40,12)s(48,48,12)++c(24,32,20)s(8,40,12)+*
t(40,48,20)s(40,32,28)c(24,32,20)t(24,24,20)-*+t(24,56,12)-
s(48,40,20)c(40,40,20)t(32,32,28)c(16,48,12)---t(16,24,12)+
s(32,32,20)t(48,24,12)s(16,48,20)+-c(24,40,12)+c(16,24,12)-
s(24,40,28)t(16,24,12)-s(16,32,12)-s(8,40,12)-s(16,48,12)-
c(24,24,20)s(16,16,12)-t(32,32,28)*c(48,16,12)+s(24,24,28)*
s(40,40,12)t(24,32,28)c(40,32,20)*+s(16,24,12)+s(24,48,12)+
t(48,40,12)t(24,48,20)+t(40,48,12)-t(24,48,28)s(24,40,20)+*
t(32,48,28)s(24,40,20)s(40,8,12)s(40,40,28)+s(32,48,12)---
s(16,24,12)s(24,24,28)s(40,40,28)*+c(40,32,20)c(32,48,12)-*
s(32,24,20)t(24,48,28)-t(24,32,20)+t(32,48,20)-t(32,40,28)-
s(48,48,20)t(32,40,20)-s(24,24,20)s(24,48,20)++s(32,48,20)*
s(32,8,12)t(24,32,20)t(40,24,20)++s(40,8,12)-t(32,32,28)*
t(24,48,28)c(32,24,20)+s(40,24,28)+t(32,48,28)*c(40,40,20)+
s(40,32,20)s(32,32,20)+s(24,40,20)-c(32,32,20)+t(32,48,20)-
s(16,16,20)t(32,32,12)s(48,40,12)+t(40,32,12)++s(16,40,12)+
s(24,48,12)c(32,32,20)t(32,48,20)s(40,48,20)*-+s(32,48,20)*
t(32,32,28)s(24,24,20)s(48,24,12)t(40,32,20)++*s(32,16,20)-
t(40,40,20)t(24,48,28)t(32,48,28)c(16,40,12)-*s(32,32,12)-+
c(24,32,20)s(24,40,28)*s(16,24,20)s(24,40,28)c(40,24,12)-*-
s(40,48,20)c(16,48,12)t(32,40,12)+c(40,32,20)s(40,24,28)++*
c(24,32,20)s(8,16,12)c(32,16,12)++s(48,24,20)-s(16,48,20)*
t(24,32,28)t(16,56,12)c(16,32,12)c(24,24,12)++*t(32,32,28)+
c(24,32,20)s(32,48,12)-s(8,32,12)-t(40,48,12)+s(40,24,12)-
s(24,24,28)s(24,40,28)+t(32,40,28)t(24,56,12)+*s(32,48,12)-
c(40,40,20)t(48,16,12)c(32,32,20)+*s(40,24,20)+s(32,24,20)-
s(8,40,12)c(32,40,20)c(24,24,12)-t(48,24,12)++s(32,32,20)*
t(24,40,28)s(8,24,12)+s(40,40,20)*c(32,24,20)c(24,32,20)*+
t(40,40,20)s(32,48,20)s(48,48,12)+s(32,32,28)s(40,24,28)--+
s(16,24,20)c(16,32,12)s(8,48,12)+s(24,32,12)--t(16,24,12)+
t(32,40,20)c(32,40,20)s(32,48,20)s(32,32,12)-s(32,48,12)--*
c(40,24,20)t(24,40,28)t(40,32,20)c(32,32,20)t(32,48,12)-*--
t(16,40,12)t(32,40,28)c(40,32,20)*+s(48,24,20)-c(40,32,20)*
c(24,40,20)s(16,24,20)-t(16,48,12)-s(40,24,12)+s(40,24,20)-
s(24,48,12)s(48,40,12)+s(40,24,28)s(40,32,12)--t(32,32,20)+
t(32,40,20)s(16,40,20)+s(40,32,28)*s(24,48,20)s(32,48,12)-+
c(40,32,20)s(40,24,20)s(24,24,20)--s(48,32,12)s(24,48,12)+-
s(40,16,12)s(32,32,12)+s(32,40,12)+s(16,48,12)+s(24,40,20)*
s(24,40,28)s(48,40,12)t(40,32,20)+-t(24,40,20)c(32,24,12)--
t(32,32,28)s(32,40,20)*c(40,40,20)s(48,40,12)-s(32,32,28)**
t(40,48,20)s(32,24,28)t(24,32,28)*s(24,32,20)*+c(24,40,20)*
s(32,40,28)c(32,32,20)*s(40,32,28)*s(32,24,28)c(48,24,12)-*
s(40,40,28)s(40,48,20)s(16,48,12)+-c(32,24,20)s(40,40,20)*-
s(24,40,28)s(24,40,20)s(48,32,12)+s(16,40,12)-*t(32,40,28)*
s(24,48,20)t(32,40,28)*c(40,24,20)c(40,16,12)-c(24,32,20)*-
t(24,40,20)c(40,48,12)s(32,32,20)s(16,32,20)*++c(40,32,12)-
s(40,48,20)t(40,40,20)s(24,40,20)c(40,40,12)---t(24,32,28)-
s(40,24,28)s(48,16,20)c(40,32,20)s(48,48,20)---s(40,32,20)*
s(32,32,20)c(32,24,20)t(24,56,12)+s(16,16,20)-*s(24,24,12)+
t(16,16,12)t(32,48,20)+s(24,24,20)s(24,32,12)-c(24,32,20)*-
s(40,24,28)c(24,24,20)t(32,40,28)t(32,24,20)-t(24,24,20)+**
s(48,24,20)s(16,24,12)s(40,32,28)s(24,32,28)*+c(16,24,12)--
t(24,32,28)c(40,24,20)s(32,24,28)*+c(32,40,20)*c(32,32,12)-
s(24,24,12)t(32,48,28)+s(24,40,28)*c(32,24,20)s(48,40,20)+*
s(48,8,12)s(32,48,12)t(32,32,12)++s(48,16,12)-s(32,16,20)-
c(24,32,12)s(16,32,20)s(24,40,20)s(24,24,20)s(16,40,20)-+*+
t(24,48,28)s(40,32,28)s(48,16,20)-t(16,56,12)+*t(48,48,12)+
s(48,16,20)s(40,32,20)+t(24,40,20)-c(24,24,20)s(32,16,20)+*
c(24,32,20)t(24,32,28)t(40,32,12)s(24,48,20)++t(16,32,12)-*
t(40,48,20)s(40,16,12)+c(16,48,12)s(40,40,28)++c(40,24,20)*
s(48,24,20)s(48,40,20)s(48,24,20)*s(32,24,20)s(32,48,20)-+*
s(24,40,20)s(24,32,12)s(24,48,20)+*s(32,16,20)t(32,24,20)*-
c(48,16,12)t(24,32,12)t(48,48,12)++s(32,16,20)+c(48,32,12)-
t(40,32,20)t(16,56,12)+s(16,16,20)c(40,16,12)+t(32,40,28)-+
s(40,16,12)c(24,32,20)+t(24,24,20)-c(40,32,20)*s(40,48,20)+
c(24,32,20)s(40,40,12)-s(40,40,28)*t(40,32,20)+s(48,16,20)-
c(32,32,20)c(32,32,28)s(24,16,20)-t(32,48,28)+t(32,32,20)*-
s(24,40,20)s(48,32,20)-t(40,48,20)+c(40,48,12)s(8,40,12)+-
c(24,24,20)s(32,32,20)t(24,48,28)-s(32,24,12)+-s(32,40,20)+
s(16,32,20)c(24,24,20)*t(40,24,20)+s(32,32,20)*t(48,48,12)+
s(32,40,20)s(24,32,20)s(24,40,20)**s(40,32,28)*c(48,48,12)+
c(16,40,12)s(16,32,12)s(24,16,12)++c(16,32,12)-c(40,40,20)-
s(16,48,12)c(40,24,20)s(48,16,20)s(32,24,20)+++t(32,48,28)*
s(48,32,12)s(24,24,28)c(16,16,12)s(32,16,12)+-+t(32,32,20)*
s(32,48,20)t(32,32,28)s(32,8,12)t(16,56,12)c(32,24,12)+++*
s(48,24,20)t(16,56,12)+s(40,24,20)c(40,40,20)*-s(48,32,12)+
t(24,40,28)t(32,32,28)*c(40,40,20)s(40,48,20)-c(24,40,12)++
s(48,8,12)s(40,40,28)s(32,48,20)*s(24,40,28)*s(24,16,20)++
s(8,48,12)s(40,40,28)+c(24,32,12)-s(48,40,12)-c(40,24,12)+
t(32,48,28)c(24,40,20)s(40,24,28)s(40,48,20)c(40,48,12)-++*
s(40,32,28)t(48,24,12)-t(48,32,12)-s(16,48,20)-t(32,32,28)*
c(32,32,20)s(48,24,12)+s(32,24,28)t(40,48,12)+*t(24,40,28)*
s(32,24,28)c(32,40,20)s(24,24,28)*s(24,32,20)+*t(32,16,12)+
s(24,16,20)s(32,40,20)t(24,40,28)*-t(24,32,20)t(32,48,12)+-
t(24,48,20)t(40,24,20)+s(48,8,12)c(24,40,20)+s(24,48,12)--
c(16,24,12)t(40,56,12)c(24,16,12)s(24,24,12)++s(32,32,28)*+
s(32,8,12)s(24,32,28)c(24,40,20)*+s(16,48,20)-s(32,24,12)-
s(32,32,28)s(48,24,20)s(32,32,20)+t(40,24,12)-*s(24,32,12)-
c(24,48,12)c(32,24,20)c(32,32,28)s(24,32,28)--s(40,24,12)-+
s(16,48,20)c(32,32,20)t(24,16,12)-s(24,40,12)s(16,24,20)+*+
c(32,24,20)s(32,16,20)+t(40,48,20)c(24,40,20)+-t(24,32,28)-
s(24,24,12)t(16,56,12)+c(24,40,12)s(48,32,12)+t(32,32,28)*-
t(32,32,28)t(24,48,28)+s(32,40,20)t(24,40,28)*t(32,48,28)+-
c(32,16,12)s(32,48,12)c(40,32,12)++s(24,40,28)c(40,24,12)-*
c(40,24,20)s(40,32,28)c(40,24,12)-s(24,32,20)s(32,24,20)*-*
t(24,56,12)c(24,24,20)s(40,24,12)-c(16,40,12)-+c(32,40,20)-
t(24,32,28)t(32,32,20)-s(16,48,20)+s(48,48,20)+s(32,24,28)*
t(32,48,20)c(32,32,20)s(48,40,20)+s(40,24,28)*s(16,40,20)--
t(40,40,12)t(40,16,12)+c(48,24,12)+c(40,16,12)t(32,48,28)+*
t(24,32,20)t(24,40,20)s(40,48,12)s(8,8,12)+++c(24,24,20)*
c(40,32,20)s(16,16,20)+s(24,24,28)-c(32,48,12)-c(16,16,12)+
c(40,32,12)s(48,48,12)+s(32,32,20)t(32,48,28)*-c(32,32,12)-
s(24,24,28)c(24,32,12)-s(16,40,20)-s(8,24,12)+s(32,24,28)*
t(24,40,28)s(24,16,12)t(40,56,12)t(40,24,12)++s(40,24,12)+-
c(32,40,20)t(32,40,28)t(48,32,12)+s(40,32,12)--s(16,40,12)+
s(8,24,12)t(48,16,12)s(40,32,20)+s(40,40,28)s(24,24,28)**+
s(40,32,28)c(32,32,12)s(8,32,12)t(48,56,12)t(16,24,12)+++*
s(24,24,20)s(24,16,20)t(48,32,12)+c(48,32,12)+*c(24,32,12)-
s(16,40,12)s(48,16,20)c(40,24,20)s(32,40,20)-*+c(48,16,12)-
s(40,32,28)s(40,16,12)-s(40,32,28)t(40,32,12)s(32,16,20)+*-
s(40,16,20)t(32,40,28)+t(32,56,12)s(48,48,12)+c(40,40,20)*-
t(24,40,12)s(40,40,20)c(40,32,12)c(24,24,12)+s(16,32,12)-++
t(32,32,12)s(24,24,28)t(24,32,28)*c(40,40,20)-+s(40,32,28)+
t(32,32,28)s(32,40,12)s(40,8,12)+s(40,24,28)*s(8,32,12)++
c(40,24,20)s(48,40,12)s(40,48,20)s(40,40,20)*s(16,48,20)-+-
c(24,40,20)s(40,16,20)c(40,48,12)+c(32,16,12)-+c(32,24,12)-
t(32,32,20)s(48,16,20)-t(40,56,12)t(48,32,12)++s(24,40,12)+
c(48,48,12)s(24,8,12)+t(48,56,12)-s(24,24,20)s(16,16,20)*-
c(48,24,12)s(32,24,20)+t(48,56,12)c(24,24,20)+s(32,24,28)**
s(48,48,12)c(32,40,12)+s(32,40,28)s(32,24,12)-*c(24,32,12)-
t(32,32,28)c(40,32,20)*s(24,48,20)c(32,32,20)c(40,16,12)-*-
s(16,24,20)c(48,48,12)s(16,8,12)++t(48,32,12)+t(40,32,20)+
c(48,24,12)s(16,40,20)+s(48,24,12)c(24,32,12)+-c(16,40,12)+
s(24,32,20)c(24,32,20)c(24,16,12)s(16,40,20)c(16,48,12)-+*+
s(24,40,28)c(32,32,20)+s(24,32,12)-t(32,48,20)s(48,8,12)+*
s(16,24,20)t(40,40,12)s(32,40,28)c(40,32,20)s(48,24,12)--+-
c(16,24,12)s(48,48,20)t(24,40,28)+c(40,32,12)+t(32,40,20)-+
s(8,24,12)t(32,40,28)s(24,16,20)-s(48,40,20)*+t(32,32,28)-
s(16,48,20)s(8,16,12)c(40,32,20)+t(24,48,20)-s(40,24,28)-+
s(48,24,20)c(16,48,12)+s(48,32,20)-s(40,24,28)-s(48,32,20)+
t(40,48,12)s(24,16,20)t(16,16,12)-t(24,56,12)++c(32,24,20)-
s(24,32,28)s(40,48,12)-c(16,24,12)-c(32,32,20)*t(24,32,28)+
s(24,32,28)s(24,16,20)+c(40,40,20)s(48,16,20)--s(24,40,28)-
s(40,24,28)s(24,16,20)*c(32,32,28)c(40,32,20)-t(16,40,12)-+
c(40,32,20)t(48,56,12)+c(48,16,12)s(32,8,12)++c(32,24,20)*
c(32,32,28)t(24,48,12)s(8,48,12)+s(24,16,20)s(24,40,28)-+*
s(40,48,20)s(24,48,20)*s(40,24,20)+s(24,16,12)-s(24,40,28)*
c(32,32,20)s(48,48,20)s(32,24,20)++s(48,32,12)-s(32,24,20)*
t(32,40,28)t(16,16,12)+t(32,48,28)s(24,32,12)-*s(40,48,20)+
s(32,40,28)t(24,24,12)-s(48,24,12)-s(40,24,20)s(48,16,12)--
t(48,40,12)t(16,48,12)t(32,24,12)++s(16,16,20)s(32,8,12)-+
c(16,16,12)s(24,24,28)t(32,48,20)c(32,24,20)+*+c(24,40,12)+
s(32,24,28)s(24,24,20)c(40,16,12)-s(48,24,12)+s(8,24,12)-*
s(32,24,12)s(40,40,20)+s(40,32,20)*s(24,16,12)t(32,48,28)+*
s(24,24,28)t(24,32,28)-s(40,32,20)s(48,8,12)+c(24,32,20)-+
s(40,24,28)t(40,40,20)s(32,48,20)+c(32,32,28)*c(40,32,20)**
s(32,32,20)s(32,24,28)s(24,24,12)s(16,40,20)+s(24,24,28)***
s(48,40,20)c(40,32,12)-c(24,24,20)t(40,32,20)t(32,56,12)+-+
s(48,16,20)s(8,40,12)+s(40,32,20)+t(24,40,28)*s(48,24,20)+
s(32,16,20)c(24,32,20)t(24,16,12)-s(32,32,12)-+s(32,24,20)-
c(32,24,12)t(32,24,12)s(40,32,12)+t(16,56,12)+s(40,24,20)*+
t(40,48,20)t(24,40,20)-c(48,40,12)+s(40,32,12)+c(32,32,20)*
t(32,48,28)s(40,24,28)s(40,32,28)s(16,48,12)c(40,48,12)++*-
s(24,40,28)t(40,32,20)-t(32,16,12)+t(32,24,20)c(40,32,20)*-
t(24,32,28)s(24,32,28)s(32,48,12)-t(32,40,20)--t(32,32,28)*
t(24,40,28)s(40,24,20)-s(16,24,12)s(40,32,12)+-s(24,40,12)-
t(24,40,20)t(24,56,12)c(32,16,12)s(24,40,12)+t(32,24,12)-++
s(24,48,20)t(32,48,20)+t(24,48,28)*t(16,16,12)s(16,40,20)+*
s(32,40,28)t(40,24,20)s(40,8,12)c(48,24,12)++-s(48,24,12)+
t(16,48,12)t(40,40,12)c(24,24,12)++s(8,48,12)+s(16,24,12)-
s(16,32,20)c(32,40,20)-s(24,32,12)+c(40,24,20)c(32,40,12)+-
s(40,32,28)s(48,48,20)-t(24,32,12)t(24,32,28)t(24,32,12)-+*
s(24,24,20)s(24,32,12)-t(40,48,12)s(40,24,12)+c(24,40,12)++
c(32,32,28)t(24,24,20)-s(24,24,12)c(48,40,12)+-s(32,40,20)*
s(24,32,20)t(24,48,20)+c(24,24,20)c(40,16,12)-c(32,16,12)-*
s(16,40,20)s(16,32,20)s(32,24,20)s(32,16,20)t(48,16,12)+*-*
s(48,40,20)t(24,48,28)c(24,32,20)+c(32,40,12)s(8,16,12)++-
c(32,32,28)s(32,16,20)s(16,48,12)t(32,32,20)++*t(48,56,12)+
s(48,16,20)s(24,32,28)s(32,48,20)s(40,16,12)+*-s(32,16,12)+
s(16,48,12)s(40,24,28)s(40,40,20)*t(24,48,28)t(40,48,12)--+
s(40,24,20)s(24,40,12)c(32,24,20)s(24,24,28)*+c(24,32,20)**
s(24,40,12)s(32,16,12)+s(24,24,28)s(40,24,20)+*t(24,24,12)+
s(24,48,20)c(32,32,20)s(40,48,12)-+t(32,48,28)s(24,24,20)-*
c(24,24,20)t(40,32,12)-s(24,40,20)+t(40,56,12)c(32,40,12)++
s(32,16,20)c(40,24,20)*s(24,40,12)+s(32,16,20)+s(24,16,20)+
s(24,32,28)c(40,32,20)c(48,16,12)s(48,40,12)+*-t(48,16,12)+
s(24,16,20)s(24,24,28)t(24,40,28)*s(48,32,20)--s(24,32,20)-
s(24,40,28)c(24,40,20)t(40,40,12)--s(32,32,28)c(48,24,12)-+
s(40,16,12)t(40,32,12)+s(32,32,28)*c(40,32,20)t(32,24,20)*+
c(40,16,12)s(32,48,20)t(16,40,12)c(32,24,20)+c(40,40,20)*-+
s(32,48,20)t(16,40,12)+s(32,40,20)*c(40,32,20)t(16,40,12)+*
s(16,24,20)t(24,40,28)+s(32,16,12)t(40,40,20)++t(24,32,28)-
s(40,32,28)s(32,24,20)-t(48,48,12)s(40,32,20)++t(40,40,20)-
s(40,24,28)s(24,40,12)c(24,16,12)+*s(16,40,20)s(40,40,20)++
c(40,32,20)s(32,40,28)s(40,32,28)**t(40,16,12)s(24,48,12)+-
c(32,24,20)c(40,40,20)t(40,32,20)-t(48,32,12)+s(16,48,20)++
s(48,32,20)t(32,24,20)c(48,24,12)-c(16,24,12)+s(32,24,28)*+
c(16,24,12)s(24,40,20)c(32,24,12)-t(40,56,12)c(32,32,12)+-+
s(40,8,12)t(32,48,28)+c(32,40,20)c(40,40,20)s(24,48,20)--*
s(32,32,20)c(40,32,20)s(40,40,28)*+c(24,48,12)-s(32,40,20)-
t(32,32,28)c(24,40,12)-t(32,40,28)t(32,48,28)*-c(48,16,12)-
c(40,24,20)s(24,24,28)s(40,40,28)s(48,16,12)s(32,16,20)++**
t(24,32,28)c(16,16,12)-s(32,48,12)-s(24,24,20)t(40,32,12)+*
s(48,48,12)c(24,32,12)+s(48,24,20)+t(40,56,12)t(48,48,12)+-
s(32,24,20)t(24,48,12)t(24,24,20)+t(16,32,12)-s(48,8,12)+*
s(24,32,20)s(24,32,20)s(16,40,20)*t(32,24,12)-t(48,48,12)+*
s(48,16,20)t(24,16,12)c(40,40,12)s(16,24,12)+++c(32,40,20)*
s(8,40,12)c(32,40,20)+s(24,24,28)s(16,40,20)*-t(24,48,28)*
c(24,24,20)s(24,40,20)t(40,32,20)-t(32,48,28)+-t(32,40,28)-
s(48,24,20)s(40,40,28)c(48,16,12)+s(40,32,28)-+c(32,40,20)*
s(16,32,20)s(24,24,28)s(16,32,20)c(32,32,20)-t(24,32,20)+**
c(24,40,12)t(40,48,12)+s(32,32,28)c(32,24,12)-s(24,40,28)**
s(40,40,20)s(40,24,28)c(32,16,12)-t(40,56,12)c(24,32,12)+--
t(32,48,20)s(24,24,28)c(16,48,12)+c(24,24,20)c(32,40,20)*--
c(32,48,12)s(32,40,28)c(24,40,20)c(40,24,12)+c(24,32,12)--+
s(24,24,28)c(40,16,12)s(40,16,12)s(24,40,28)+t(24,48,28)*+-
s(16,40,20)c(40,16,12)t(32,40,20)+s(24,40,20)s(16,32,12)-*-
t(24,32,28)s(48,16,12)+s(48,40,20)s(8,8,12)s(32,48,20)++*
s(24,24,28)s(40,16,20)s(32,8,12)-c(40,32,20)*+t(32,40,28)-
s(40,16,20)t(32,32,20)+c(32,24,12)-s(40,40,20)-s(24,32,28)-
t(48,40,12)s(40,32,20)s(40,48,20)-+s(40,32,20)c(48,16,12)-*
s(32,40,20)t(24,40,20)*c(40,32,20)t(24,48,28)-c(48,40,12)-+
t(24,40,28)s(24,32,12)-t(40,40,20)c(32,32,20)*+c(48,32,12)-
s(40,24,28)c(32,40,12)-c(40,24,20)c(16,32,12)+s(48,40,20)*-
t(24,24,12)s(32,40,12)+s(32,32,28)t(32,48,28)-s(24,16,20)-+
t(24,32,28)s(40,32,28)s(24,40,28)s(16,48,12)-**s(40,24,12)-
t(24,32,20)t(24,40,20)t(32,32,28)+s(8,24,12)+s(24,32,28)**
s(48,40,12)t(40,32,20)+t(32,56,12)c(32,48,12)++s(24,40,28)+
c(48,32,12)t(32,32,12)+s(40,16,20)c(32,24,12)-+s(32,32,20)+
s(16,24,20)s(24,32,28)+s(40,24,20)-t(32,24,12)+s(24,48,20)*
s(40,16,12)s(16,32,12)+s(32,40,20)s(24,40,20)s(32,32,28)**-
s(24,24,28)s(40,8,12)c(32,24,12)+s(40,40,20)--t(32,32,20)-
s(40,16,12)c(24,32,20)s(48,32,20)-t(24,40,28)c(32,32,20)**+
s(32,32,12)c(40,48,12)s(24,24,12)++s(48,24,20)s(40,48,12)+-
s(32,40,28)s(32,40,28)s(8,48,12)s(40,32,20)+*-t(16,32,12)-
t(32,24,20)s(48,48,12)c(32,40,20)s(40,24,20)*+s(32,16,20)--
c(40,24,20)c(24,24,20)c(24,32,20)*s(40,40,20)t(32,32,12)-+*
s(48,16,20)s(48,8,12)-c(24,16,12)+s(40,24,28)+s(24,16,20)*
s(16,32,20)t(24,32,28)t(32,40,28)--s(24,48,20)s(24,40,20)*+
c(16,40,12)s(40,8,12)s(40,48,20)+c(48,40,12)-c(32,32,28)*+
s(40,40,28)t(40,48,12)-c(32,40,20)s(48,40,20)+*s(40,24,20)+
s(24,24,28)s(40,40,20)c(24,32,20)s(40,24,28)*+t(40,48,20)-*
c(32,40,20)s(24,32,20)t(24,24,20)*-s(32,32,28)c(24,48,12)--
s(16,40,20)t(24,32,20)s(40,8,12)+s(32,32,28)t(40,24,12)-*+
c(32,32,20)c(40,40,12)-s(32,32,12)s(32,24,12)c(16,40,12)++*
s(48,48,20)s(24,40,20)+c(48,16,12)c(32,24,12)+-t(24,32,20)-
s(40,16,20)t(24,56,12)c(24,40,20)s(40,24,28)*+s(8,24,12)++
s(24,24,20)c(32,24,20)*t(32,48,12)s(32,8,12)++t(24,32,28)*
t(32,56,12)s(8,48,12)+t(24,32,20)c(32,40,20)*s(16,16,12)++
c(24,40,20)s(32,40,20)t(32,48,12)-c(48,40,12)+*t(32,32,28)*
s(40,32,28)s(24,24,12)-c(16,24,12)+c(40,40,20)-t(32,40,12)+
t(24,48,28)c(24,40,20)s(16,48,20)*s(24,32,20)+*c(32,40,20)*
c(40,48,12)s(24,40,28)c(24,32,20)*t(40,24,12)-+s(40,32,28)+
c(48,16,12)c(32,32,20)+t(32,32,28)*c(32,32,20)s(32,48,20)**
s(40,16,20)c(24,16,12)-c(24,40,20)s(24,24,20)t(40,40,12)++-
c(40,40,20)s(48,32,20)s(48,16,12)s(40,40,20)s(24,48,12)-+**
s(16,40,12)t(32,40,28)s(48,16,20)c(32,32,28)s(24,32,20)-*++
s(40,40,28)t(32,32,28)s(32,24,28)s(24,24,28)**c(16,24,12)--
s(40,48,20)t(32,24,20)s(32,32,20)s(32,40,20)*+-s(40,32,20)-
t(32,16,12)c(24,32,12)s(24,40,12)+t(40,48,20)c(32,24,20)-++
c(24,32,20)s(48,32,20)t(32,24,20)+s(32,24,28)+t(32,32,28)--
s(32,16,20)s(48,16,20)t(48,16,12)-+s(32,24,28)c(32,32,20)**
c(24,32,20)t(16,16,12)s(40,32,28)+*s(16,24,20)t(24,40,28)-+
s(40,8,12)s(16,8,12)s(16,40,20)s(24,48,20)s(40,24,28)+*++
s(16,48,20)s(48,24,12)s(32,48,20)s(32,32,20)-+s(32,40,20)--
c(32,32,28)c(40,40,20)-s(24,24,28)s(24,40,28)*-t(40,24,20)+
c(24,32,20)t(32,32,20)s(24,24,28)s(24,40,28)**c(16,48,12)--
c(24,24,20)t(24,32,28)-c(24,32,12)+c(16,32,12)t(24,48,20)+-
s(24,48,20)c(24,24,20)s(16,24,20)s(32,32,12)-c(16,32,12)---
s(32,48,20)c(40,40,20)c(24,40,20)c(24,32,20)*-s(32,32,20)--
s(48,24,20)s(40,40,28)+s(32,40,28)s(32,16,12)s(16,48,12)+-*
s(16,16,12)t(32,40,28)s(40,40,28)*+s(48,40,12)t(32,48,28)+-
s(40,32,28)s(32,40,12)-t(32,48,28)+s(32,24,28)+s(48,32,12)-
s(24,24,20)s(40,24,28)s(32,40,20)-s(48,24,12)-c(24,48,12)++
c(40,24,20)c(32,32,20)*s(40,32,28)s(48,32,20)c(24,40,20)+**
s(32,40,28)s(48,40,20)*t(24,32,12)+c(32,32,28)s(32,16,20)-*
s(40,40,20)s(32,16,20)c(32,32,28)c(40,40,12)-*-s(40,32,28)*
s(16,24,20)s(24,32,20)*t(24,40,28)s(24,48,20)*t(24,48,20)*-
s(40,32,28)s(32,40,20)c(32,32,28)s(48,24,20)-s(8,24,12)-**
c(40,40,12)t(32,40,28)s(40,24,12)-t(24,32,28)t(32,56,12)+*+
s(48,48,20)s(24,40,28)s(32,40,28)*s(16,32,20)*+c(24,24,20)*
s(32,24,20)s(24,32,28)+t(16,56,12)c(16,40,12)+-s(32,24,28)*
c(24,24,12)s(32,32,28)c(40,32,12)-c(32,40,20)*s(32,40,20)*+
c(24,24,20)s(48,8,12)s(40,24,12)s(24,16,20)t(16,24,12)-+++
c(16,48,12)s(16,16,20)+s(32,16,12)-c(24,24,20)t(24,16,12)--
s(32,40,28)s(40,48,20)c(16,24,12)+s(40,16,12)+*t(16,24,12)-
c(32,24,20)s(32,40,28)t(24,24,20)--s(8,16,12)+t(32,32,12)-
s(24,32,28)c(32,40,20)s(48,32,20)*-s(24,24,20)s(24,40,12)-*
t(48,56,12)t(48,40,12)+s(16,40,20)s(16,24,20)*+c(24,32,20)-
t(48,56,12)c(40,24,20)+s(24,24,28)s(32,32,12)t(48,56,12)++*
s(24,32,28)t(48,32,12)+s(40,48,12)t(32,32,12)+-s(16,16,20)*
s(40,32,28)c(32,40,20)s(24,32,20)c(24,32,20)t(32,32,28)****
s(48,48,20)s(32,24,20)s(48,16,12)-c(48,40,12)+s(48,16,20)-*
c(32,24,20)s(24,24,20)s(32,24,20)*t(40,40,20)s(40,32,12)+--
t(32,32,28)s(24,16,20)c(40,24,12)-+s(48,24,20)-s(32,24,20)*
s(16,32,20)t(32,32,28)+s(40,40,20)t(40,48,12)-s(16,8,12)+*
s(16,16,20)s(24,32,20)-c(48,40,12)+c(32,24,20)-s(48,40,12)-
s(16,40,20)s(32,32,20)+t(32,40,20)s(8,24,12)+-c(32,24,12)-
t(16,48,12)s(24,32,20)+s(32,40,12)-s(16,16,20)+s(40,32,20)-
s(32,24,28)c(24,24,20)s(40,48,20)-s(40,32,20)c(48,32,12)-+-
s(32,16,20)t(24,32,20)-t(48,16,12)+s(16,40,20)+c(40,24,20)*
s(24,40,20)t(24,56,12)+s(24,32,20)t(32,32,20)s(16,16,20)--+
c(40,24,12)s(32,40,20)+s(40,32,20)s(40,16,20)s(32,40,20)--*
s(32,40,28)s(16,48,20)+c(32,32,20)*s(16,24,20)+t(40,24,12)-
c(32,40,20)t(24,48,28)s(40,40,28)s(40,24,28)+-+c(24,32,20)*
c(24,32,20)s(24,48,12)-s(32,40,12)-s(8,32,12)-t(24,48,12)+
t(40,56,12)c(24,24,20)s(40,24,20)*s(24,16,12)s(32,40,28)+*+
t(40,48,20)t(24,40,12)c(16,40,12)++s(24,40,28)*s(8,32,12)+
s(32,32,20)t(32,48,20)s(24,48,20)s(16,32,12)-s(40,32,28)+*-
c(32,40,20)t(24,48,12)-s(24,40,28)c(40,40,20)**t(40,40,20)+
t(32,32,12)s(24,32,28)s(24,40,20)t(40,24,20)--t(32,24,12)-+
s(40,40,28)s(16,40,20)c(32,32,28)s(16,24,20)*s(8,24,12)+-+
s(24,24,20)s(40,40,12)+s(8,32,12)-t(40,40,20)-c(16,32,12)-
c(32,24,20)t(32,32,28)+s(16,24,20)s(40,32,12)c(32,48,12)++-
c(16,24,12)t(24,48,28)t(24,32,28)-c(32,32,12)++t(40,56,12)-
s(48,24,20)s(48,40,20)t(32,40,12)-c(40,40,20)c(48,24,12)+*-
s(48,16,20)s(48,40,12)+s(48,40,12)s(16,24,12)+-t(32,16,12)-
c(32,32,28)c(48,40,12)s(40,16,12)+-s(32,24,20)-s(32,40,28)*
s(8,32,12)s(40,24,12)+s(40,40,20)-c(24,40,20)t(24,40,28)*-
t(16,24,12)t(32,48,28)s(24,32,20)-t(32,40,12)++s(24,24,20)-
c(32,32,28)s(48,16,20)-s(32,40,28)s(24,40,12)--s(24,40,20)-
s(32,24,20)c(32,48,12)+s(32,16,20)c(24,48,12)+s(40,40,28)*-
t(32,32,28)s(40,24,20)*t(40,24,20)+t(24,32,28)t(24,40,20)*-
t(32,48,12)c(24,24,20)s(32,8,12)-t(24,48,28)-+t(40,24,12)-
s(24,24,28)t(24,40,20)s(32,16,20)+s(32,32,28)**c(32,48,12)-
t(24,48,20)c(24,40,12)s(32,48,12)s(48,32,20)+++s(24,48,20)*
s(32,32,28)c(24,32,20)*t(32,48,12)-s(24,48,20)+s(16,48,20)-
s(32,48,20)s(32,40,20)*c(48,48,12)+t(24,32,20)c(40,48,12)+*
s(48,48,20)t(32,40,28)s(32,40,20)c(16,48,12)-*-s(32,32,20)+
t(40,16,12)s(24,24,20)+s(24,32,28)s(16,48,20)-t(40,16,12)--
s(16,40,12)s(40,32,28)s(40,24,28)*+c(32,24,20)s(48,24,12)-*
s(24,40,20)s(24,8,12)+s(40,32,28)s(32,32,28)t(32,16,12)-+*
t(16,56,12)t(40,48,20)t(16,32,12)++s(48,24,12)+t(32,48,28)*
c(24,48,12)c(24,40,20)t(24,32,20)-c(16,32,12)c(24,32,12)+-+
s(24,40,20)s(40,32,20)s(40,24,28)s(24,24,28)*c(16,40,12)+*+
s(48,16,20)t(32,32,20)-c(40,40,20)+s(40,40,20)t(32,32,12)--
c(32,40,20)t(32,32,20)-s(32,48,12)-c(32,24,12)+s(40,24,20)*
s(32,32,28)c(32,24,20)-s(24,32,12)+s(24,48,12)-s(32,24,28)*
t(24,24,20)s(32,16,12)+s(24,32,20)s(24,48,12)+s(40,40,28)--
s(32,24,20)t(32,32,28)t(24,48,12)c(40,24,20)+s(24,48,12)-**
s(48,32,20)c(40,24,12)+s(32,24,12)-c(32,40,20)+t(40,24,20)-
t(24,48,20)t(24,48,28)t(32,48,28)c(32,40,20)t(32,40,28)+*--
s(32,16,20)c(32,24,20)*s(32,16,20)t(24,16,12)-*t(48,24,12)+
s(32,24,20)s(24,32,28)*s(40,32,20)+t(40,56,12)+t(32,48,28)*
t(40,48,20)s(24,24,28)s(16,40,20)*+t(40,56,12)-c(16,16,12)+
t(32,40,28)s(48,24,20)t(32,48,28)-+s(32,16,20)c(32,32,28)*-
t(32,40,28)t(32,32,28)*s(32,48,20)s(16,32,20)t(32,32,28)*+*
c(48,40,12)t(32,40,28)t(16,16,12)t(24,48,28)+c(24,40,20)*-+
c(32,40,20)s(40,48,20)s(32,32,12)+s(40,32,28)*t(32,32,20)*-
s(32,24,20)c(40,32,20)c(32,48,12)-*s(40,40,28)*s(32,40,20)+
s(32,32,20)t(24,48,20)s(40,40,28)+t(32,48,28)*c(40,40,20)*-
s(24,24,28)c(40,32,20)s(48,48,12)-s(24,32,12)t(48,24,12)+*+
t(32,32,28)s(40,32,20)c(24,24,12)-*t(24,40,12)-t(32,40,20)+
s(32,24,28)t(32,32,28)*s(24,24,12)s(40,16,20)+t(40,24,12)--
c(32,32,28)s(16,16,12)c(32,40,20)+-c(24,24,20)-s(40,32,28)+
s(16,32,20)c(32,40,20)s(40,32,20)c(48,40,12)+*+s(24,40,28)*
t(40,56,12)s(16,32,20)+c(24,40,20)s(8,24,12)c(32,48,12)+-*
s(16,24,12)s(40,24,12)t(32,24,20)+c(48,24,12)++t(40,32,20)+
t(40,56,12)s(16,16,12)+c(24,32,20)s(40,40,28)*t(32,48,28)*+
s(24,32,28)s(16,32,12)-t(16,48,12)-s(40,24,28)t(32,24,12)-*
c(32,40,20)s(32,32,28)s(32,32,20)c(40,32,20)+**t(24,40,20)*
c(40,32,20)t(48,40,12)t(24,24,12)+-s(48,32,20)s(32,16,20)--
c(32,32,20)c(48,40,12)s(40,24,28)t(24,32,28)*++c(48,48,12)-
s(8,16,12)s(24,32,28)s(40,32,28)*+s(40,24,28)*t(32,32,28)*
s(32,24,20)s(40,24,20)c(32,40,20)s(40,32,20)**-t(16,24,12)-
s(32,24,28)s(32,32,20)s(40,48,20)+t(48,40,12)-s(48,24,20)-*
s(40,32,20)t(32,40,28)t(48,48,12)-s(24,32,20)c(24,40,20)**-
t(32,48,28)t(32,40,28)c(40,32,12)t(24,32,20)+c(24,32,12)-+*
s(40,32,20)t(32,32,12)s(8,48,12)+-s(48,16,20)t(32,16,12)--
t(32,32,28)s(48,16,12)+s(24,40,20)+s(48,32,12)t(32,24,20)+*
c(24,24,20)s(24,16,20)s(16,32,20)s(32,32,28)s(16,40,20)*--*
s(32,32,28)t(24,32,28)+s(32,40,28)c(24,24,20)t(24,48,12)+--
s(16,40,20)c(24,40,20)c(40,40,20)-t(32,32,20)c(40,16,12)--*
c(24,24,20)s(16,48,20)s(32,48,12)--t(24,32,12)-t(40,48,20)+
t(40,56,12)s(24,24,20)+s(24,16,20)-c(48,16,12)+t(32,32,12)-
s(24,40,28)s(32,24,20)t(32,32,28)*t(16,48,12)+-s(16,16,20)-
s(40,24,28)t(24,48,28)-s(24,40,28)s(48,8,12)s(16,48,20)+--
t(32,40,28)t(24,32,28)s(16,24,20)*-c(24,40,20)s(40,40,20)**
t(24,48,28)t(32,32,20)t(24,32,12)-+t(16,56,12)s(16,32,20)+*
s(16,16,12)s(24,32,20)+s(48,40,20)-t(32,48,28)s(16,40,20)+-
s(32,32,20)c(24,24,12)-t(24,32,12)-t(48,56,12)+t(48,24,12)-
c(32,40,20)s(24,24,28)s(24,32,28)*s(8,32,12)-+t(24,48,12)-
t(24,40,28)s(8,40,12)-c(16,16,12)+s(16,8,12)s(48,40,20)+*
s(24,24,20)s(32,32,28)s(24,40,28)*s(48,40,20)-+t(32,40,28)*
s(24,24,28)s(40,8,12)-c(40,24,20)s(48,24,20)t(32,40,20)-+-
s(48,24,20)s(24,40,28)t(32,40,28)*s(40,32,28)*+s(40,32,28)*
t(40,48,20)s(32,24,28)s(48,48,20)c(48,48,12)-t(24,48,20)+--
t(24,32,12)t(32,32,20)t(32,48,12)s(24,16,20)++c(40,40,20)-+
t(32,32,28)c(16,40,12)+t(24,48,28)+s(16,40,20)s(40,40,20)-*
c(16,32,12)s(32,48,12)+s(24,24,12)-s(8,40,12)-t(40,56,12)-
s(16,32,20)s(32,24,20)c(32,40,20)-s(48,32,12)++t(24,48,20)-
s(24,8,12)t(24,56,12)+s(32,32,28)s(24,40,20)*c(32,32,20)*+
s(24,40,28)s(16,32,20)c(16,40,12)-t(16,56,12)+*t(32,40,20)-
s(32,32,28)s(32,16,20)t(48,24,12)s(24,24,28)c(32,24,20)*+**
s(24,32,20)s(32,32,28)s(40,40,28)*s(24,40,20)--s(24,32,12)-
s(32,40,28)s(48,16,20)+s(48,8,12)-s(48,40,20)*s(32,40,20)*
c(40,16,12)s(32,40,28)s(24,16,20)s(16,16,20)*++s(32,32,12)-
c(32,24,20)c(32,32,20)s(40,16,20)s(24,32,20)+**s(40,40,20)+
s(48,24,20)s(24,40,12)+t(16,40,12)s(40,32,20)+*s(48,40,20)-
s(24,32,28)s(16,48,20)s(24,40,20)**t(40,40,12)+t(32,40,28)*
c(40,24,12)t(32,32,20)c(32,16,12)c(32,40,12)+s(32,24,20)*++
c(24,32,20)t(32,32,20)t(32,48,28)s(48,16,12)++c(32,16,12)+*
s(32,32,28)c(24,24,20)t(40,48,20)s(48,40,20)+c(40,32,20)-+*
s(48,16,20)s(40,16,20)t(32,32,28)s(16,48,20)++s(48,24,20)*-
s(40,40,20)t(32,24,12)s(16,16,20)+-t(16,56,12)c(40,32,20)+*
s(48,16,20)s(16,40,20)+t(24,32,12)-c(32,32,20)-c(24,32,20)-
c(40,40,12)s(48,8,12)+t(40,24,12)t(24,48,20)+c(32,40,20)+*
s(48,48,20)c(32,32,20)c(16,40,12)-c(24,32,20)*-t(32,48,28)-
t(40,32,12)s(24,32,28)s(40,32,20)*t(24,24,12)+c(40,48,12)-+
c(32,24,20)s(24,24,28)*s(40,24,28)c(24,40,12)+*c(40,40,20)*
s(32,32,28)t(24,24,20)s(16,8,12)--s(16,24,12)+c(16,32,12)-
s(24,32,28)t(16,24,12)-t(32,48,28)t(24,56,12)--s(8,24,12)+
t(32,40,28)s(24,24,20)t(24,32,20)s(40,48,12)+*-c(24,48,12)-
s(32,40,20)t(16,40,12)+s(24,16,20)c(40,32,20)s(40,32,12)-+-
t(24,32,28)c(40,24,20)t(24,40,28)-c(40,32,20)*c(24,24,12)+-
t(40,40,20)c(40,48,12)s(40,32,20)+s(40,48,20)*c(24,40,12)+*
c(24,32,20)s(48,16,20)-s(16,16,12)c(24,40,12)+*s(24,32,20)*
s(48,24,20)s(48,40,12)+s(32,32,28)t(40,24,20)*s(32,24,20)*-
s(32,16,20)t(40,40,12)+s(48,16,20)-t(40,48,12)-s(24,16,20)*
t(32,32,28)t(40,24,12)-t(48,56,12)c(32,16,12)+t(40,40,20)+*
s(16,16,12)c(24,40,12)s(32,32,20)++s(40,32,20)*t(40,16,12)-
s(48,48,12)c(40,16,12)+s(48,24,20)s(40,40,28)*-s(48,8,12)-
c(40,40,20)c(24,48,12)-t(32,40,28)*s(16,32,20)s(16,40,20)*-
s(32,40,28)s(48,32,20)c(48,24,12)t(32,40,28)+c(32,40,20)--*
c(16,16,12)t(32,24,20)t(32,32,28)t(24,32,20)*+s(32,16,12)-+
s(40,48,12)t(32,32,28)s(40,40,28)c(24,40,12)s(16,32,20)++*+
s(24,40,28)s(40,24,28)+t(40,16,12)s(32,24,28)c(24,32,20)*+-
t(32,32,20)s(24,40,28)*s(48,32,12)s(24,48,20)++t(40,16,12)+
c(32,32,20)s(16,32,12)c(40,32,12)+*t(32,48,20)-s(16,40,12)-
c(48,48,12)s(16,32,20)s(40,40,28)-c(32,40,20)t(24,40,20)-++
s(32,32,28)s(48,32,20)s(40,32,20)+*t(32,48,28)t(24,48,28)*-
s(24,48,20)s(8,24,12)c(24,40,20)+*s(24,40,28)s(40,24,20)-*
s(48,40,20)s(48,16,20)s(48,8,12)s(16,48,20)+--c(40,48,12)+
s(40,40,28)t(40,32,12)-s(32,16,12)s(48,48,12)+s(24,32,12)+-
c(40,32,20)t(24,40,28)t(40,24,20)-s(32,48,20)+*s(24,40,28)*
s(24,40,20)s(32,48,20)t(32,32,20)+*s(24,24,20)+t(24,32,28)-
s(40,16,12)c(48,32,12)+t(32,40,28)c(32,40,20)*s(48,32,20)+*
s(24,16,20)c(32,40,20)c(24,24,20)s(48,24,20)-s(16,40,20)*-+
c(32,40,20)s(40,48,20)+s(24,40,28)c(24,32,20)**s(40,24,12)-
c(40,24,20)t(48,16,12)s(24,16,12)s(16,32,12)++s(16,24,20)*-
s(32,32,20)s(48,24,12)-s(32,24,28)s(32,40,12)c(16,24,12)+--
s(24,24,28)s(40,32,28)s(48,24,20)s(16,32,12)++t(32,32,28)--
s(16,40,12)c(32,24,20)+s(32,24,12)-s(16,40,20)t(24,48,12)-+
c(32,32,20)c(48,24,12)t(24,40,20)+t(40,40,20)--c(32,16,12)-
s(40,24,12)t(48,56,12)+s(40,48,20)c(32,32,28)*-t(40,40,20)+
s(40,16,20)s(24,16,20)*s(16,40,12)+t(24,32,12)-t(40,24,12)-
t(24,48,12)s(40,40,20)t(32,32,20)s(32,16,12)-++c(40,48,12)-
s(48,48,12)c(32,40,20)c(48,32,12)+s(40,24,20)-t(24,48,12)-+
c(40,40,20)s(32,24,20)t(32,24,12)-+t(16,56,12)+s(40,24,12)-
c(24,24,12)c(40,24,20)+s(32,32,28)s(40,24,28)*t(16,32,12)+*
s(32,16,20)s(48,40,20)s(24,32,28)-+t(24,24,20)-c(40,40,20)-
s(32,24,28)s(16,32,12)-s(32,32,20)*s(40,16,12)+c(32,40,20)*
s(40,32,28)c(48,24,12)-s(16,40,20)t(24,48,28)+*c(40,40,12)+
t(32,32,28)s(40,40,28)*c(24,24,20)s(40,24,20)s(48,8,12)-*-
c(24,32,20)s(32,24,28)s(16,32,20)s(16,24,20)*+s(48,16,20)*-
t(24,32,28)s(24,24,28)t(24,32,28)s(8,32,12)+*s(48,16,12)+*
c(32,24,20)s(16,24,20)c(32,16,12)t(40,56,12)+--t(24,32,28)*
s(32,40,20)s(24,40,28)s(48,32,20)-*s(40,32,20)s(24,48,20)-+
c(32,40,20)s(40,24,28)*s(32,24,28)s(32,8,12)-s(24,32,28)**
s(24,24,28)s(24,32,20)s(48,40,20)+c(16,16,12)+t(48,32,12)-*
s(48,48,20)c(40,32,20)t(32,40,12)-c(16,32,12)t(40,40,20)++*
s(32,32,28)s(32,24,28)c(24,48,12)+s(48,16,12)-*c(32,32,20)*
s(24,24,28)t(24,24,20)-s(8,16,12)t(16,32,12)+s(32,40,28)+*
s(24,40,20)t(40,48,12)s(8,24,12)t(32,32,20)s(32,24,20)*+++
t(24,40,20)t(24,32,28)s(40,24,12)+t(24,40,28)*c(32,16,12)-*
s(32,16,20)s(24,40,20)t(24,32,20)*t(48,48,12)+-t(16,56,12)+
s(40,16,20)s(40,32,20)s(48,32,20)*s(48,24,20)+t(40,32,12)--
c(24,24,20)c(16,24,12)c(40,40,20)c(24,32,20)*+s(40,40,12)--
c(32,24,20)s(48,40,12)+s(32,40,28)t(24,32,20)--t(32,32,20)+
s(32,16,20)s(16,24,12)+c(32,32,28)*s(24,24,20)s(40,32,20)-*
t(24,32,20)t(40,40,12)+t(40,56,12)s(16,32,20)s(24,40,20)*++
s(24,24,20)c(32,32,12)-s(24,32,28)*t(40,48,20)t(24,40,20)-+
c(24,40,20)s(32,8,12)+s(40,32,20)-t(16,48,12)s(32,40,12)+-
s(8,40,12)t(40,32,20)t(24,24,20)+s(24,24,28)*+s(48,24,20)-
t(24,48,28)t(24,32,20)+t(40,48,12)c(40,32,20)s(24,32,28)*+-
s(40,16,20)c(24,32,20)t(32,24,20)*s(40,40,20)++s(24,40,28)*
s(24,32,28)s(40,32,20)c(40,32,12)c(16,48,12)++t(16,40,12)-*
s(24,8,12)s(48,40,20)+t(40,32,12)s(24,24,12)+s(32,32,12)+-
s(24,24,28)c(32,24,20)*c(24,32,20)c(32,24,12)-+s(32,32,28)*
t(24,40,28)t(48,24,12)s(16,48,20)s(40,48,12)+t(32,48,28)*+*
s(24,24,28)c(32,40,20)c(48,24,12)-c(24,40,20)*t(24,32,28)*-
c(24,16,12)s(24,40,28)+s(32,24,20)-t(24,48,28)t(32,32,28)*+
s(40,24,28)s(32,32,28)t(40,24,12)-+t(16,48,12)s(24,16,12)+*
t(32,24,20)s(48,40,12)+c(40,48,12)+s(24,24,20)s(40,24,28)**
s(24,32,28)t(32,40,28)*s(24,32,20)t(24,32,28)t(16,40,12)-+*
s(40,32,20)c(48,48,12)-c(32,40,20)t(40,24,12)-c(32,40,12)-+
s(48,32,20)s(32,40,28)s(40,40,28)*+t(24,40,28)+s(32,24,28)*
s(24,48,20)t(32,32,20)-s(16,32,20)+s(24,40,28)*t(16,40,12)-
t(24,48,28)t(32,48,12)-t(24,56,12)-s(8,16,12)+t(24,48,28)*
s(48,8,12)t(24,40,20)t(24,24,12)-+t(40,40,20)s(16,48,20)--
s(24,24,20)s(32,48,20)t(40,48,20)c(40,24,12)+s(32,40,20)-+-
t(32,40,28)s(40,40,28)*t(24,16,12)c(40,32,20)+t(32,24,12)-*
s(16,32,20)s(40,32,20)c(40,40,20)*-s(24,24,28)*t(16,40,12)-
s(24,32,20)s(16,24,20)c(32,16,12)-c(48,40,12)+t(40,40,12)--
c(48,48,12)t(32,48,28)+c(24,32,20)*t(40,24,20)+c(24,24,20)-
s(16,48,20)t(24,48,28)*c(32,48,12)+t(24,56,12)-t(32,48,28)+
s(40,24,12)t(32,40,28)+s(40,32,28)t(40,24,12)t(48,24,12)+--
s(32,40,28)s(32,24,20)+s(24,40,28)c(24,32,20)**c(40,40,20)*
c(48,24,12)s(40,40,28)s(32,32,20)s(16,24,12)--t(32,48,28)*+
s(24,40,28)t(48,16,12)t(48,56,12)+t(32,32,12)+-s(40,48,20)+
s(48,40,12)s(48,48,12)c(24,24,20)s(32,32,28)*++s(16,16,20)-
s(16,24,20)t(32,32,28)c(40,24,20)s(32,48,20)s(32,32,20)*+*-
c(16,24,12)t(24,32,28)t(40,24,20)c(40,48,12)+s(40,48,20)*-+
s(24,32,28)s(24,40,28)t(32,40,20)t(48,32,12)+*-c(24,40,20)+
c(48,16,12)t(48,40,12)s(8,16,12)+s(32,32,20)c(32,48,12)--+
s(32,32,28)s(24,40,28)c(24,24,20)s(24,48,20)s(8,48,12)--**
s(24,32,20)c(32,16,12)-s(24,24,28)*t(40,40,20)-c(24,32,12)+
c(32,32,12)s(8,48,12)t(24,24,20)++s(24,24,20)t(24,48,28)-*
c(24,24,12)s(40,16,20)+s(24,24,20)s(24,48,20)-t(24,32,12)-*
c(40,40,20)c(24,32,20)t(32,40,28)c(24,16,12)+*t(40,16,12)++
s(8,16,12)t(32,48,28)t(48,24,12)c(48,48,12)+-+s(16,40,20)+
c(40,24,20)s(40,40,12)s(48,16,12)s(48,32,20)c(48,40,12)-++-
c(48,24,12)t(24,40,28)+s(40,32,28)t(40,24,12)-c(24,16,12)-*
s(40,32,28)s(24,40,28)*s(16,24,20)s(24,32,12)-t(32,48,28)+*
t(32,40,28)s(16,48,12)t(40,24,12)+c(32,32,12)-+c(40,32,12)-
s(40,40,20)s(24,16,20)c(16,32,12)s(40,48,12)++-c(48,16,12)+
c(40,24,20)t(40,40,12)-c(24,24,20)*c(24,32,20)t(32,48,12)-*
t(24,32,20)t(24,32,28)s(24,24,20)t(32,24,12)t(48,48,12)++**
s(32,40,28)c(40,32,20)*t(48,48,12)-c(32,32,28)c(32,24,12)-*
s(16,32,20)s(24,32,20)c(32,40,20)*t(40,32,12)-+s(32,32,20)*
t(48,32,12)s(32,24,20)+s(16,32,12)-c(24,32,20)s(32,16,20)+*
t(16,40,12)s(32,24,20)s(8,8,12)+s(16,16,20)*+s(32,24,28)*
t(32,40,28)t(24,40,28)t(32,32,28)*s(32,32,20)*c(48,16,12)+*
s(40,48,20)c(24,32,20)s(16,40,12)-t(32,32,28)t(24,32,20)*++
t(32,40,28)s(40,40,28)c(16,32,12)+t(40,24,20)-c(24,48,12)-*
t(32,24,20)t(32,32,12)+c(48,40,12)+t(32,40,20)t(32,24,20)--
t(24,40,28)t(24,48,28)c(32,32,28)*s(24,24,28)-s(32,16,20)++
t(24,32,28)t(16,40,12)-s(48,24,12)t(16,32,12)+-c(24,32,20)*
s(24,16,20)c(16,40,12)+s(24,24,20)s(24,8,12)+c(40,32,20)+*
t(24,40,20)c(32,16,12)+s(32,40,12)-t(32,32,28)s(32,40,12)-*
s(32,24,28)s(24,40,20)-s(48,24,12)t(48,48,12)++s(32,24,20)-
c(32,40,20)t(40,48,12)-s(24,32,20)t(24,40,28)**c(40,24,12)-
c(32,32,28)t(24,40,28)c(48,48,12)c(24,32,20)c(40,24,20)*+*-
s(40,24,20)s(24,40,20)s(48,48,20)+-s(24,40,20)+t(32,16,12)-
c(32,40,20)t(48,56,12)c(16,40,12)+-s(48,40,20)*t(16,56,12)+
s(24,40,28)s(24,32,20)-s(48,32,20)+t(40,32,20)s(32,40,28)*-
c(40,32,20)s(32,24,28)*s(48,24,12)t(16,56,12)+s(24,40,20)+*
c(24,32,20)s(32,40,20)s(40,32,28)c(32,48,12)c(48,32,12)+--*
s(40,40,12)t(40,48,12)+c(32,48,12)s(24,32,20)s(40,32,20)*++
c(24,32,20)s(48,48,20)-c(40,24,20)t(40,40,20)-s(24,32,28)*-
s(32,16,20)s(24,16,20)*c(24,24,20)s(48,16,20)t(40,16,12)-+*
c(24,24,20)s(32,40,28)t(32,24,20)*t(40,40,20)s(48,24,12)++-
s(48,32,12)t(40,32,12)c(32,32,12)t(24,48,20)+s(24,24,20)-++
t(24,40,28)t(32,40,28)*s(8,40,12)t(16,16,12)t(24,40,20)++*
s(24,40,28)s(16,8,12)+s(40,24,28)c(32,32,12)-s(48,32,20)+*
t(32,40,28)s(8,8,12)+t(24,32,20)+s(32,24,28)*t(32,40,28)*
s(16,16,20)t(32,40,28)+t(32,48,28)*c(32,32,20)+t(32,48,20)-
t(40,24,20)t(24,32,28)s(40,40,20)t(16,16,12)+c(32,32,20)**+
s(40,8,12)t(32,40,28)s(48,48,20)t(16,24,12)t(32,48,28)+*-+
c(32,32,20)s(48,16,20)c(40,32,20)+t(32,48,28)+c(40,40,12)--
t(16,56,12)c(32,40,20)s(24,16,20)-s(40,48,20)s(40,40,20)**+
s(32,16,20)s(40,24,28)c(24,16,12)s(40,32,20)s(32,48,12)-+**
s(40,40,28)t(40,48,20)-s(24,40,20)c(32,24,20)s(16,32,20)*--
t(48,32,12)s(24,40,20)s(16,40,20)*+c(32,24,20)s(48,16,12)--
s(16,24,20)s(24,32,28)s(24,16,12)-+s(32,32,20)t(32,48,20)+*
s(24,16,20)c(40,32,12)s(32,24,20)s(16,16,12)++t(40,32,20)*+
s(16,40,12)s(40,16,20)t(32,24,20)c(16,16,12)+++s(40,16,12)-
c(32,40,20)s(32,32,20)t(32,16,12)+t(24,32,28)c(40,40,12)+**
s(32,32,28)s(24,16,12)c(48,16,12)++s(48,16,20)-s(16,48,12)-
s(24,32,28)s(24,24,12)-s(48,24,12)t(24,48,20)+-c(40,40,20)-
s(32,40,28)t(40,48,20)-t(24,24,12)-s(24,48,20)+s(40,40,20)-
t(32,40,12)c(32,24,12)t(32,32,12)s(40,24,12)++t(24,24,12)++
t(24,40,28)s(40,32,28)t(16,40,12)c(40,32,20)+*c(24,40,12)+*
t(40,40,20)t(32,48,28)+t(32,48,20)s(48,8,12)s(40,48,20)++*
c(24,24,20)s(32,32,20)t(24,40,28)+t(16,32,12)-+s(40,48,20)*
t(32,40,20)c(24,32,12)+t(32,40,28)+s(24,40,20)*s(40,48,20)-
c(24,32,20)s(40,8,12)s(48,48,20)c(40,40,20)*++t(40,32,20)*
s(32,24,28)s(48,32,12)-s(40,32,28)*c(24,24,20)t(24,48,20)-*
s(16,40,20)c(48,16,12)c(24,24,20)c(40,32,20)s(32,40,12)-++-
t(24,48,20)t(40,16,12)s(24,40,28)+c(32,32,20)c(32,24,20)**-
t(16,40,12)s(48,24,20)+s(24,40,20)c(48,24,12)t(32,32,28)+*-
s(16,40,20)s(24,40,20)c(40,40,20)t(32,24,20)-s(40,40,20)*-*
s(48,24,20)s(40,32,28)t(40,24,20)-s(32,40,20)+-c(40,16,12)+
c(24,24,20)s(32,48,12)+t(24,32,28)*s(32,32,20)t(16,48,12)+*
s(24,40,28)s(32,32,28)s(24,32,28)t(24,48,28)-s(16,32,20)*--
c(40,24,20)c(32,24,20)t(48,40,12)+s(32,48,12)t(48,16,12)+-*
s(40,24,20)t(24,16,12)t(40,48,12)s(16,8,12)++s(16,16,12)+-
t(24,16,12)s(40,40,20)+s(48,32,20)s(24,16,20)s(8,8,12)-+*
s(32,40,12)s(48,40,12)c(40,24,12)+s(40,24,28)*+s(48,48,12)+
c(32,32,28)s(16,32,20)-s(32,32,28)t(48,24,12)-t(32,32,20)--
s(40,32,28)s(24,16,20)c(24,32,20)+*t(24,16,12)t(48,16,12)++
t(32,40,20)s(48,24,20)s(24,24,20)t(48,48,12)t(24,32,20)+-++
s(40,40,28)c(40,32,12)-s(32,40,28)*s(24,32,28)s(24,16,20)-+
s(24,32,20)s(16,24,20)*c(32,32,12)+c(16,24,12)t(32,48,28)+*
s(40,32,28)s(40,40,20)-c(24,32,20)+s(24,48,20)+s(24,24,20)-
c(24,40,20)t(24,24,20)-s(24,32,28)s(16,16,20)+c(40,40,20)--
s(40,40,28)s(48,48,20)*s(16,32,20)t(16,32,12)-+s(48,32,20)-
c(16,40,12)t(32,40,20)s(48,32,20)++s(24,24,20)s(8,32,12)-+
s(40,40,20)t(40,48,12)t(40,32,20)+*s(40,40,28)t(32,40,28)**
s(16,24,12)t(16,32,12)t(32,48,28)t(32,40,12)c(16,32,12)+-++
c(32,24,20)s(40,8,12)t(24,32,20)s(8,32,12)-c(40,32,20)++*
s(48,16,12)t(40,32,20)+s(40,16,20)+c(40,40,20)c(48,24,12)--
s(40,32,20)s(32,40,28)s(24,16,12)c(32,40,12)++s(40,32,28)**
t(32,32,12)s(32,24,20)s(40,40,28)t(24,32,20)+t(32,48,20)-*+
t(32,48,20)s(32,48,20)c(24,40,20)t(32,24,12)s(48,8,12)++**
t(24,24,12)c(40,40,20)+c(40,16,12)+s(24,32,28)*t(48,32,12)+
s(32,32,28)s(16,40,20)-t(32,32,28)t(40,16,12)+t(40,48,20)+*
s(40,32,28)s(40,40,20)c(32,24,20)t(24,32,28)s(24,24,20)+*-*
s(40,40,28)c(48,32,12)-t(32,56,12)-c(32,32,20)c(48,24,12)-*
s(32,24,28)c(48,48,12)+s(32,40,20)*s(32,40,12)+s(24,32,20)*
s(16,24,20)c(24,48,12)s(16,48,12)+c(24,24,20)+s(40,16,12)-*
c(16,16,12)s(48,40,20)t(24,40,28)-s(32,16,20)-+s(48,48,12)-
c(32,32,28)t(32,56,12)s(24,24,12)+*t(24,48,28)+s(24,48,20)*
s(40,48,20)c(40,40,12)-s(32,40,28)c(24,24,20)c(24,40,20)*-+
t(32,48,28)s(48,40,12)+t(32,56,12)t(24,48,12)+-t(32,32,20)-
t(32,40,28)c(16,40,12)+c(32,32,20)+t(32,48,28)*c(40,32,20)+
s(24,24,20)c(24,40,20)s(16,40,12)-s(32,48,20)*+c(40,32,20)-
s(16,48,20)t(24,48,20)*c(40,24,20)c(40,48,12)s(24,32,28)+*+
t(32,32,20)t(24,32,28)s(32,16,12)s(48,48,12)+t(40,48,12)+-+
s(40,24,28)s(24,16,20)s(16,40,20)--s(48,32,20)s(32,32,28)+*
s(40,16,12)t(24,24,20)c(24,32,20)t(32,40,12)-*+s(24,40,28)*
s(32,24,20)s(40,40,20)c(32,32,12)++t(32,48,28)+s(48,24,12)-
s(40,24,28)s(32,32,28)s(24,32,28)t(32,48,28)s(48,48,20)--*-
s(40,32,20)s(24,24,20)-t(24,40,28)s(24,40,20)t(24,40,12)-*+
s(40,40,20)s(24,48,20)s(48,24,20)s(40,40,28)+s(16,40,12)+*-
s(32,32,28)s(24,48,20)c(40,16,12)++s(24,8,12)s(48,48,20)+*
c(24,24,20)s(32,48,20)+s(16,48,20)t(24,32,28)+*s(40,40,12)-
t(48,16,12)c(24,32,20)+s(48,16,20)s(48,48,20)t(24,40,28)++*
t(40,32,12)s(24,40,20)+s(32,24,20)*t(48,40,12)+s(24,40,28)*
c(24,40,20)s(32,40,28)s(40,16,20)-t(24,32,28)t(40,48,12)+*-
s(48,48,12)t(24,40,20)+c(32,40,20)*s(40,32,28)*s(24,40,28)*
s(40,40,28)t(32,32,28)s(16,32,20)*t(40,48,20)+*t(40,40,20)-
c(40,32,12)s(16,32,12)+c(48,32,12)s(32,32,12)+*c(32,16,12)+
c(32,32,20)c(32,32,20)t(24,40,28)c(40,32,12)---c(24,32,12)+
s(24,40,28)s(32,32,28)*t(32,32,28)c(32,40,20)*t(24,32,20)--
s(8,32,12)t(24,40,28)c(40,32,20)*+c(24,24,20)*s(40,24,20)+
c(32,40,20)t(32,40,12)t(40,24,20)s(48,40,12)++s(24,24,28)*-
s(32,24,28)t(32,32,28)*s(24,40,20)c(32,40,20)**c(32,32,12)+
t(24,40,20)s(40,24,12)+s(32,24,20)t(32,40,28)*-c(40,16,12)-
t(32,48,20)s(24,32,20)c(32,24,20)*c(40,16,12)-+c(32,24,20)+
s(40,32,28)s(24,16,12)-s(24,48,20)+s(24,32,28)*s(32,48,20)*
s(16,16,20)c(32,40,12)+s(40,40,20)t(24,40,12)-s(48,32,20)*-
s(32,48,20)s(40,24,20)t(40,32,20)*+s(24,32,20)t(24,40,20)*+
s(16,32,20)s(24,48,20)-t(24,48,28)s(40,32,28)*-s(16,8,12)+
s(40,24,20)s(40,16,12)t(32,32,28)c(40,16,12)-t(24,40,28)*++
c(40,40,20)t(24,48,28)s(32,32,28)s(32,48,20)*+t(24,40,28)**
c(24,32,20)s(40,24,28)*c(32,40,20)c(48,16,12)+*t(40,48,20)-
s(8,16,12)c(48,24,12)c(24,40,20)c(16,48,12)-++t(24,48,28)*
s(24,24,12)t(40,24,20)c(32,48,12)s(40,8,12)+-+t(24,24,20)+
s(40,40,28)s(24,24,28)s(24,48,20)c(16,24,12)+-s(40,24,28)*+
s(40,32,12)s(48,48,20)s(24,32,28)s(16,16,20)*s(32,40,20)-++
t(40,24,12)c(24,40,20)+t(24,48,28)t(24,24,12)+*s(32,24,12)-
s(48,32,20)t(24,32,28)c(32,24,20)t(48,24,12)-*+c(32,24,20)*
s(24,48,20)c(16,32,12)s(48,8,12)s(16,8,12)++c(40,32,20)--
c(32,24,12)t(32,40,28)s(40,32,12)s(24,16,20)+-c(16,40,12)-+
s(24,40,28)s(40,32,28)s(24,40,28)+t(24,24,20)-*t(24,56,12)-
t(24,32,28)s(48,32,20)-c(32,40,12)+s(32,24,20)s(32,16,20)*-
s(40,24,12)c(32,32,12)s(24,16,20)t(40,24,20)t(16,48,12)+-++
s(32,16,12)s(24,32,20)c(32,40,20)*t(24,32,20)++s(40,40,20)+
s(48,16,20)s(40,16,20)c(16,16,12)+s(8,48,12)t(32,40,28)++*
c(24,24,20)s(32,40,28)c(40,32,20)s(40,48,12)-s(48,32,20)+-+
c(40,48,12)t(16,40,12)+t(24,24,20)s(8,32,12)-+s(40,16,20)-
c(40,32,12)c(24,32,20)+c(48,16,12)t(40,40,20)+-t(24,24,20)*
t(32,48,20)t(32,32,28)c(40,24,20)*s(40,40,20)*s(32,24,20)++
c(32,48,12)s(32,16,12)+s(24,32,20)s(16,48,20)--c(40,16,12)-
s(40,32,28)c(24,40,20)t(16,56,12)c(24,24,20)s(32,40,28)*+**
c(24,32,20)s(16,16,20)-s(8,8,12)t(32,40,20)s(40,32,12)-++
c(40,40,20)s(48,24,12)c(32,40,20)+t(16,16,12)+*t(32,48,20)+
t(32,40,28)s(24,40,20)*s(32,40,28)s(40,40,28)*s(24,32,28)**
s(40,48,20)c(40,24,20)c(24,40,20)s(32,16,20)c(40,24,12)-+*-
s(32,32,28)t(24,40,28)s(24,8,12)c(24,32,20)t(24,40,20)-++*
s(48,24,20)s(48,8,12)+t(40,32,20)+s(48,40,20)t(32,40,12)--
c(40,40,20)c(48,24,12)-s(40,40,28)s(32,32,28)c(32,40,20)***
t(32,48,20)c(40,40,20)*c(32,32,12)+t(24,32,20)s(16,40,12)+-
c(40,24,20)s(48,32,20)-c(48,32,12)+s(40,40,28)*c(40,16,12)-
s(32,40,20)s(16,24,20)s(32,40,12)++t(32,48,20)s(24,16,20)+*
s(24,40,20)s(24,24,20)c(32,40,20)+t(24,40,12)-+s(40,32,20)*
s(40,40,20)t(32,48,20)t(32,32,20)-+s(32,32,20)t(24,32,12)--
s(24,24,12)c(24,40,20)t(16,32,12)-s(16,32,20)s(16,32,12)--+
c(40,48,12)t(40,24,20)+s(24,32,20)s(32,48,12)+*s(8,48,12)+
c(32,24,20)s(8,40,12)s(32,8,12)++s(8,40,12)-c(40,16,12)-
c(32,32,28)t(32,24,20)c(24,16,12)+c(48,16,12)+*c(48,24,12)-
s(16,24,20)c(24,24,20)t(32,40,12)-s(16,40,20)+t(32,24,20)-*
s(16,16,20)t(24,32,20)t(32,32,12)s(40,16,12)+--c(40,24,20)-
s(24,24,20)s(32,32,28)c(16,48,12)+s(40,16,20)--t(40,40,20)+
c(40,24,20)s(48,24,20)*t(32,56,12)s(32,32,20)++s(48,40,20)-
t(16,16,12)s(40,32,20)t(32,32,12)-s(40,24,28)*s(32,24,20)++
s(24,32,28)c(16,32,12)t(32,48,20)+s(32,40,28)*-t(24,32,28)*
s(40,24,20)t(24,32,28)-t(24,48,12)+c(40,40,12)-c(32,16,12)-
s(32,24,28)s(40,48,20)-c(40,40,20)+c(24,24,20)*c(24,32,20)*
c(32,24,20)t(48,32,12)-s(24,32,28)s(32,40,20)*-s(48,24,12)-
c(24,24,20)c(32,24,20)s(24,40,12)-c(24,40,12)+*t(32,16,12)-
t(40,24,20)c(32,32,28)c(24,16,12)s(32,8,12)+t(24,32,20)--*
t(24,48,28)t(16,24,12)+t(32,48,28)c(16,40,12)--s(24,40,20)*
c(24,32,20)t(40,32,20)-s(32,24,28)t(32,40,28)*s(24,48,12)+-
c(32,32,20)s(48,48,12)s(48,32,20)s(40,24,20)*+c(24,40,20)--
t(40,40,20)c(40,40,20)s(48,16,20)-s(40,24,28)s(24,48,20)--+
s(24,32,28)s(8,40,12)s(40,32,28)+s(16,40,20)-t(48,48,12)-*
c(40,32,20)c(16,24,12)s(24,16,20)+t(16,16,12)-c(48,24,12)+*
s(24,32,20)s(40,48,20)s(24,40,28)*-t(32,32,12)-s(24,40,28)*
c(32,32,28)s(16,32,20)-t(40,24,20)c(16,32,12)+-c(40,32,20)*
c(24,24,20)t(24,40,28)s(24,40,28)s(32,32,20)s(48,48,20)-**-
s(48,48,20)s(32,16,20)s(32,32,20)*s(32,40,20)+s(32,8,12)+-
c(40,40,20)t(32,40,28)*s(24,40,20)s(16,24,12)-t(40,32,20)--
s(32,40,28)s(24,24,12)-t(40,24,12)s(32,40,20)t(24,16,12)++*
c(32,32,20)c(48,48,12)s(24,32,28)+t(24,40,12)-*s(24,40,20)*
s(48,16,20)c(16,16,12)s(32,16,12)++t(24,48,28)s(40,32,28)+*
c(32,24,20)c(32,32,20)+s(16,24,20)-s(40,24,20)+t(32,32,20)*
s(24,24,20)t(24,32,28)t(32,40,28)*s(24,24,28)*+s(40,40,20)-
s(32,32,20)c(24,32,12)t(48,40,12)+t(32,32,20)+s(48,24,20)+*
s(24,24,12)c(48,48,12)+t(24,40,28)-s(16,40,20)+s(48,24,12)+
s(48,48,12)s(32,48,20)+s(40,40,28)s(40,24,20)c(24,32,20)--*
t(24,48,28)s(24,40,28)c(40,32,20)-*s(32,40,28)s(16,24,20)-*
t(24,16,12)c(48,40,12)c(40,16,12)++t(40,32,20)+t(24,24,20)-
c(32,32,20)s(24,40,28)s(32,24,20)--t(40,40,12)+c(48,40,12)-
c(32,32,28)c(32,32,28)s(16,40,20)s(32,32,20)--c(24,32,20)*-
t(32,48,12)s(48,32,20)+s(24,40,20)s(32,24,20)c(40,16,12)---
s(24,32,28)s(40,32,28)-t(32,40,20)s(40,48,20)t(32,48,20)*++
t(40,24,20)s(32,8,12)+s(8,24,12)s(24,32,20)+c(16,16,12)--
s(8,8,12)s(40,40,20)+s(48,24,12)s(48,16,12)t(32,48,28)++*
c(40,32,20)s(40,40,28)s(32,24,12)-*t(32,32,28)*t(48,24,12)+
t(40,48,12)c(24,24,20)+t(16,48,12)+c(40,32,20)*t(32,48,20)-
t(32,48,28)s(40,40,20)s(40,24,12)-t(24,48,28)-s(40,24,12)+-
s(16,24,20)s(24,40,12)-s(24,24,28)s(8,16,12)-t(24,32,20)--
c(32,32,20)c(40,40,12)-c(24,40,20)s(24,40,20)s(24,8,12)+**
s(16,24,20)c(40,40,20)t(32,40,28)+s(40,24,20)*t(24,32,28)++
s(32,32,28)c(16,24,12)-s(24,40,28)+c(40,40,20)-t(24,48,20)-
s(40,24,20)s(24,32,12)c(48,48,12)+-s(40,40,28)c(24,48,12)-*
c(40,24,20)t(40,24,20)-c(32,32,20)+s(32,32,12)s(16,40,12)+-
s(48,32,20)s(32,48,12)c(40,32,20)s(48,16,20)*s(24,32,20)++*
s(32,32,20)s(40,32,20)s(32,48,12)-s(16,48,20)+c(32,32,28)**
s(24,16,12)s(40,24,20)c(24,40,20)s(32,32,20)*s(24,16,20)+*+
s(32,24,28)s(24,40,28)s(40,24,28)c(32,24,12)-+t(24,24,20)--
c(40,32,20)c(48,16,12)-s(32,32,20)s(48,24,20)c(24,40,20)--*
t(40,32,20)s(16,24,20)+s(24,24,28)t(32,40,20)-t(32,32,28)*-
s(40,32,28)s(40,8,12)s(24,48,12)t(16,48,12)++s(32,40,12)++
s(48,48,20)c(32,32,28)s(8,40,12)t(24,40,28)+*c(40,32,12)--
t(32,40,20)s(24,48,20)+s(32,40,20)s(16,40,20)-+s(32,32,28)-
s(40,40,28)s(40,24,28)s(24,24,12)s(40,32,20)+t(48,48,12)+**
s(24,40,28)t(40,40,20)s(32,24,12)--s(32,48,20)-t(24,32,28)*
s(48,16,20)t(24,32,28)s(24,40,28)*s(40,16,20)+t(32,16,12)-*
s(16,40,20)c(40,32,20)c(24,48,12)+t(32,48,20)*-c(24,48,12)-
t(40,48,20)s(48,24,20)-s(32,16,20)t(32,48,12)++t(32,40,28)*
s(48,8,12)t(40,32,20)c(24,40,12)-+t(32,32,28)s(24,40,28)*+
t(32,48,28)s(40,24,20)t(32,40,20)+t(40,32,12)-c(16,40,12)--
s(24,24,28)c(32,40,20)t(48,32,12)-c(32,48,12)-*s(16,32,12)+
t(40,24,20)c(32,32,20)s(16,32,12)c(32,24,20)+*+c(40,40,20)*
c(32,32,20)c(48,16,12)s(32,16,20)s(48,24,12)-s(24,32,28)++*
t(40,48,12)c(24,32,20)t(32,32,28)s(16,32,20)t(48,32,12)+--+
c(32,32,28)t(32,48,28)-t(24,40,20)+s(24,24,28)*s(40,24,28)*
s(32,40,28)c(24,32,20)s(40,40,28)*s(16,32,12)--s(40,24,20)-
c(32,40,20)s(40,48,20)*s(32,40,20)+t(24,48,20)s(16,40,12)++
t(24,48,28)s(32,32,20)+s(16,32,12)s(32,16,20)c(32,24,20)*+*
s(32,40,28)s(16,24,20)-c(24,32,20)+s(40,40,28)c(40,24,12)-*
s(24,32,28)s(8,16,12)-t(40,40,12)-c(32,32,28)c(24,40,20)--
s(48,16,20)s(40,16,20)*s(24,16,20)s(40,24,28)*-t(24,24,20)+
s(32,24,12)s(8,8,12)s(24,40,28)+s(32,32,28)t(24,40,20)--+
s(24,16,20)s(24,40,20)c(32,32,20)s(32,40,28)*+-t(24,40,12)+
c(40,32,20)c(24,32,20)t(40,24,12)-t(32,40,28)t(32,32,28)***
t(48,48,12)t(24,40,28)s(40,32,20)-s(24,48,20)++s(32,48,20)*
t(16,56,12)s(32,24,28)t(40,16,12)-s(8,16,12)++s(16,32,20)*
s(32,32,28)s(40,40,20)*t(32,48,28)t(16,56,12)s(48,24,20)+-+
s(40,24,28)s(16,16,20)s(24,40,12)+s(32,24,28)t(24,40,28)*-+
t(24,32,20)s(24,32,20)s(16,24,20)+c(32,40,20)*c(40,32,20)+*
s(32,16,20)c(32,32,28)c(24,40,20)-+s(24,8,12)-s(24,32,20)+
c(40,24,20)s(32,40,20)s(48,32,12)-t(16,40,12)-s(32,32,28)*-
c(24,40,20)s(8,32,12)-t(32,48,28)t(16,48,12)+s(24,32,12)-*
s(48,40,20)t(24,32,28)t(32,40,28)c(32,16,12)-*+s(48,32,12)-
c(40,40,20)t(16,48,12)+s(16,40,20)s(32,24,20)s(24,32,28)*+-
s(40,40,28)c(40,24,12)c(48,16,12)+s(32,16,20)+*c(32,32,20)*
s(24,48,20)s(24,40,28)t(24,24,20)t(16,32,12)s(32,16,20)+*-*
s(32,40,28)c(40,40,20)s(24,24,20)-c(40,40,20)s(48,24,20)-**
c(32,48,12)c(32,32,28)t(24,40,28)-+s(40,40,12)-s(24,8,12)-
s(40,40,20)s(24,32,28)*s(48,48,20)t(32,40,12)c(32,32,12)+--
t(32,40,12)c(40,24,12)+c(24,40,20)s(32,40,20)*+c(16,40,12)+
t(16,56,12)t(40,16,12)t(40,40,20)t(24,40,28)s(32,40,20)+*++
t(24,24,20)s(16,24,20)s(24,40,12)++t(40,40,12)+c(32,24,20)*
s(48,48,20)s(24,24,28)s(8,8,12)s(48,32,20)+*-c(40,40,20)*
s(16,24,12)s(48,40,12)s(8,8,12)s(32,32,12)++c(32,32,28)*+
s(16,40,20)s(16,32,12)t(40,24,20)+s(24,48,20)-+s(40,32,20)-
s(40,24,28)t(32,16,12)-t(32,32,28)+s(48,48,20)-c(32,16,12)-
s(40,32,20)s(32,24,28)t(40,24,20)-+s(16,16,20)*t(32,16,12)-
s(40,24,28)s(32,24,28)*s(32,32,28)s(48,16,12)-*c(40,40,12)-
s(16,40,20)t(24,24,12)-c(40,32,20)s(32,48,20)*+s(32,40,28)+
s(40,32,28)s(16,24,12)+s(40,16,12)-c(24,32,20)c(24,40,20)*-
t(32,40,28)s(32,40,28)s(40,48,12)-t(24,48,28)t(40,48,20)-*-
t(32,40,20)t(24,48,28)+c(40,40,20)*t(48,32,12)+c(40,24,20)-
c(24,24,20)s(32,32,28)t(32,48,28)t(32,40,20)t(40,24,20)---*
s(24,48,20)s(40,16,20)t(48,40,12)++t(40,48,20)+s(40,32,20)-
t(48,56,12)c(24,40,20)c(32,32,20)*+s(16,48,20)c(24,40,20)*+
s(40,24,20)c(16,16,12)t(32,32,20)c(24,24,20)*+-s(24,16,20)+
c(24,24,20)t(32,48,28)-s(24,40,20)c(32,32,20)t(24,24,20)*-+
s(40,48,12)t(24,48,28)c(40,24,12)c(32,40,12)+-+s(48,16,20)+
s(16,32,20)t(24,40,28)s(24,24,20)-c(32,40,20)s(40,40,20)+*+
s(24,48,20)t(32,48,20)s(32,16,12)+s(24,40,12)+s(48,24,20)-*
s(32,16,20)c(40,32,20)s(16,32,20)t(24,32,28)*+t(24,48,28)--
s(32,32,20)s(32,16,20)t(40,48,12)+*t(32,32,20)t(32,24,20)++
c(16,40,12)s(32,40,20)+s(16,48,12)-s(32,48,12)-t(16,40,12)-
t(24,48,28)s(32,40,28)*c(32,40,20)t(48,48,12)s(24,48,20)+**
s(8,8,12)c(40,32,20)t(16,56,12)t(40,24,20)s(32,40,12)-+*+
s(32,24,20)c(32,32,28)s(40,32,28)s(32,16,12)-s(32,32,20)*-*
s(32,40,28)s(24,40,28)s(32,48,20)t(16,48,12)-t(48,32,12)+-*
c(24,16,12)s(40,32,20)t(24,48,28)c(24,32,20)+s(16,32,20)*-+
s(40,24,20)s(8,40,12)t(48,24,12)+c(24,24,20)s(32,40,20)*+*
s(40,32,20)s(24,24,20)c(40,40,20)t(24,24,20)++s(32,16,12)-*
s(8,40,12)t(40,24,20)s(32,24,28)t(32,40,28)-s(48,32,20)+*+
s(32,48,20)s(16,40,12)-s(24,40,28)s(40,8,12)+c(48,16,12)+*
c(16,32,12)s(32,32,20)+c(48,24,12)t(24,40,12)+t(40,16,12)--
t(24,40,28)t(32,24,20)t(32,40,12)s(48,16,12)+-t(48,16,12)++
s(24,40,20)c(16,16,12)+t(16,56,12)+s(32,32,20)c(16,48,12)+-
t(32,40,28)t(32,40,28)c(40,24,20)s(32,32,20)**-t(24,48,28)+
c(32,40,12)s(32,16,20)s(16,24,20)-+c(24,32,20)s(32,32,28)*-
s(16,48,20)c(24,40,20)t(32,56,12)-c(32,32,20)*t(40,48,12)--
t(32,48,20)s(48,40,12)+c(24,24,20)s(24,40,20)++s(48,32,20)*
s(16,48,12)t(40,32,20)c(32,16,12)-s(16,32,20)+t(40,48,20)-+
t(24,32,28)s(24,40,28)s(40,8,12)+s(40,40,20)-*c(24,48,12)-
s(48,24,20)s(40,16,20)-s(32,32,12)+s(40,40,28)c(24,40,20)*+
t(24,32,28)t(24,40,20)+t(32,40,28)t(40,40,12)-*t(16,40,12)-
t(32,24,20)s(16,24,20)+c(32,24,20)s(32,32,20)t(24,16,12)-**
t(32,40,28)t(40,24,20)s(48,32,12)+s(24,24,28)c(32,16,12)---
t(40,56,12)s(16,40,20)+s(32,32,20)-c(24,32,20)s(16,48,12)+*
s(40,32,28)s(40,40,28)*t(32,32,28)+c(24,24,20)s(8,8,12)++
s(40,24,20)s(24,32,28)t(32,16,12)s(40,40,12)+t(24,32,28)+**
t(48,24,12)s(16,16,12)s(32,48,20)++s(32,24,28)c(40,40,20)*-
s(32,32,28)s(24,24,28)s(32,32,20)c(24,40,12)---s(48,24,20)*
s(24,32,12)t(32,16,12)+c(32,40,20)t(32,40,28)t(40,48,20)--+
c(40,24,20)s(24,16,12)-s(32,40,20)+t(24,40,28)*s(32,32,28)*
s(48,40,20)c(32,32,20)c(40,32,12)t(32,24,20)+--s(32,40,28)*
s(40,32,28)t(24,40,20)-s(32,48,20)+c(24,24,12)-t(24,48,20)-
s(32,40,28)c(32,40,12)-c(40,16,12)-c(32,48,12)+s(40,24,28)*
c(40,24,20)s(48,40,20)-c(24,40,20)s(40,32,28)-t(32,40,28)+-
c(48,48,12)c(32,32,28)s(24,24,12)-t(24,32,28)c(32,40,20)*-+
s(40,40,20)t(24,40,28)-s(24,24,20)+t(32,48,28)-t(24,16,12)-
s(16,32,20)s(32,40,20)+c(32,40,20)t(24,32,20)-*s(16,48,12)-
s(48,32,20)c(32,32,12)t(24,40,28)+s(40,32,28)+s(40,16,20)-*
s(8,48,12)t(24,32,28)t(32,48,20)s(40,40,28)t(32,40,28)---+
s(32,40,28)s(24,24,20)t(24,32,20)+-s(32,40,28)t(32,48,20)-*
t(32,48,20)s(24,48,20)t(24,48,12)-+c(24,40,20)c(24,32,20)**
t(40,16,12)t(32,40,28)s(24,48,20)++s(24,16,12)s(40,24,20)++
s(40,32,12)c(16,40,12)c(32,16,12)++c(40,16,12)c(32,24,12)+-
s(24,24,28)s(24,16,20)c(24,40,20)s(40,40,20)c(48,24,12)-+--
s(48,32,12)s(8,24,12)s(40,16,20)t(24,48,20)c(40,16,12)+*++
c(24,48,12)s(32,24,20)c(24,40,12)++s(16,40,12)-t(32,40,12)-
c(32,40,20)c(32,32,28)s(24,48,20)**t(40,24,12)t(32,48,20)+*
c(40,40,12)s(48,40,12)s(48,32,20)c(40,48,12)-s(32,32,12)-++
s(16,32,20)t(24,48,20)-s(40,32,20)s(48,48,12)c(32,16,12)+-+
c(48,24,12)s(24,24,12)s(24,40,12)++s(24,48,20)s(24,48,12)--
s(32,16,20)s(40,32,28)c(24,40,20)c(32,40,20)+s(24,32,20)--*
c(40,32,20)t(24,24,20)s(32,8,12)c(32,16,12)+t(48,56,12)++-
c(32,40,12)s(40,24,20)+c(40,40,20)*c(40,24,20)s(32,8,12)+*
c(32,32,20)s(24,40,20)+c(32,32,28)s(40,16,20)s(24,40,28)-*+
s(40,16,20)s(48,24,20)*s(24,16,20)+t(24,32,12)t(40,24,20)+*
s(16,40,20)s(32,24,28)s(48,48,20)--t(32,32,28)+t(32,40,12)-
s(32,40,12)c(40,24,20)+s(32,32,28)s(32,48,12)t(48,24,12)+--
c(32,16,12)s(24,24,20)+c(48,48,12)c(24,32,12)+c(40,48,12)--
c(16,32,12)s(32,40,28)c(32,24,12)-+s(24,24,28)*t(32,48,20)-
s(32,24,20)s(16,48,12)t(40,40,20)++c(32,32,20)t(40,40,20)-*
t(24,32,28)s(40,16,12)+s(24,40,12)-s(16,40,20)t(24,24,12)+*
s(48,40,20)s(40,48,20)s(32,40,28)t(24,32,28)s(40,48,20)+*+*
c(32,24,20)t(32,32,28)*t(24,32,20)c(40,32,20)+c(24,40,12)-*
c(24,40,20)t(40,48,20)-s(24,40,20)+s(24,24,20)s(24,40,12)--
s(24,48,20)s(32,24,20)-s(32,32,20)+s(32,24,28)*c(48,32,12)+
t(24,32,28)t(48,32,12)+c(24,40,20)c(48,40,12)+c(24,32,20)*-
s(24,24,12)t(32,40,20)+c(24,24,20)s(40,40,20)-c(32,32,20)*-
s(40,8,12)c(40,40,20)s(48,40,12)-s(48,48,20)++s(32,40,28)*
c(24,24,20)s(40,16,20)s(32,32,28)*s(24,16,12)++c(40,32,20)*
s(32,40,28)s(32,32,20)c(48,40,12)--s(16,40,20)-c(32,40,12)-
t(40,48,20)s(16,48,20)s(40,24,20)+c(32,40,20)s(24,24,28)**-
s(40,40,28)s(40,24,12)c(16,16,12)t(32,40,20)+s(24,24,20)-++
s(8,48,12)t(24,48,28)s(48,40,20)s(16,48,20)+t(16,16,12)+*+
s(40,40,28)t(24,32,20)s(48,40,12)+s(48,24,12)+*s(40,40,20)*
s(24,32,28)t(16,56,12)s(8,40,12)s(16,40,12)++t(24,48,28)*+
t(24,48,12)t(16,40,12)+t(40,48,20)c(32,32,12)-+t(32,48,28)*
c(32,32,20)s(16,40,20)*s(48,24,20)s(48,32,20)*+c(32,40,20)*
s(24,24,28)c(16,24,12)s(32,24,20)t(24,24,12)-+c(16,40,12)+*
s(32,48,20)t(24,40,20)s(24,32,12)+c(32,24,12)-+t(48,40,12)+
c(40,40,20)t(24,48,20)s(40,32,28)s(40,48,12)-+s(24,32,28)**
c(32,32,28)s(40,48,12)-s(24,32,12)-s(24,8,12)-s(16,40,20)+
s(16,32,20)s(16,16,20)c(40,32,20)-s(32,40,28)+t(32,32,20)--
s(40,32,20)s(32,32,12)t(40,16,12)++c(48,24,12)-s(40,32,12)-
t(48,24,12)t(24,32,20)+s(32,48,20)-t(40,24,12)s(48,48,12)++
c(32,24,20)s(16,24,12)-t(48,16,12)s(40,40,12)+-c(24,24,12)-
s(32,24,20)c(32,32,20)*t(24,32,20)+s(16,16,20)-t(16,16,12)+
t(32,48,20)s(32,16,20)+t(32,40,20)s(40,48,12)+*s(40,16,20)-
s(40,16,12)c(24,40,20)t(32,32,20)*+c(40,32,20)s(48,32,12)-*
c(40,32,20)t(32,32,28)c(40,32,20)*t(16,32,12)t(40,48,12)+--
t(40,56,12)c(40,32,20)s(40,24,28)s(48,16,20)s(16,16,20)+**+
c(32,16,12)s(16,40,20)+c(16,16,12)c(16,24,12)t(32,16,12)+++
s(32,24,20)s(24,16,12)c(32,40,12)+-t(32,40,28)s(24,32,20)-+
s(32,40,12)s(24,16,20)+t(32,48,28)-c(24,32,12)+c(32,32,20)*
t(24,32,20)s(32,24,12)-s(40,32,20)t(24,32,28)s(40,40,28)**+
c(32,40,20)s(24,24,20)s(24,40,28)*+c(24,48,12)t(40,48,20)+-
t(24,40,28)s(48,24,20)c(32,48,12)t(40,32,12)++-t(32,32,20)-
s(32,48,12)c(48,16,12)+t(32,56,12)+c(24,24,20)-s(48,24,20)-
s(16,8,12)s(40,40,28)c(24,40,20)*s(32,48,12)-+c(40,32,12)-
s(40,32,28)c(32,32,20)s(24,40,20)*t(32,24,20)+t(24,40,28)**
s(24,32,20)t(16,48,12)+t(40,40,20)-s(24,32,28)s(32,16,12)-*
t(24,24,12)t(48,56,12)+s(32,24,28)s(24,24,20)-s(32,32,28)*+
s(40,40,28)t(24,16,12)s(32,40,20)t(48,48,12)s(40,8,12)++++
s(16,40,20)s(40,40,20)c(48,16,12)+-s(16,48,20)*t(24,56,12)+
t(24,32,28)s(32,32,20)s(32,48,20)s(48,24,12)s(16,8,12)+++*
c(40,32,20)t(32,48,28)s(48,48,12)-c(40,40,20)c(32,40,20)*+-
c(32,32,20)s(40,32,28)*s(32,16,20)+c(40,24,20)*s(40,24,12)-
s(40,32,20)s(32,32,28)t(32,32,28)t(32,48,28)--c(48,40,12)++
s(24,24,28)c(32,24,20)c(24,32,20)t(48,32,12)+t(24,40,28)**-
s(24,32,28)s(16,32,20)-s(24,40,28)s(24,24,12)-+t(24,48,28)*
c(24,24,20)t(40,16,12)-s(24,32,28)*c(40,40,20)s(32,32,12)-+
t(32,48,28)c(16,32,12)+t(40,48,20)s(16,40,12)+*c(16,48,12)+
s(48,48,20)t(40,24,12)+s(40,40,20)-c(16,40,12)+s(24,32,20)-
t(32,40,28)c(48,48,12)+t(32,40,28)c(40,24,20)s(24,32,28)**-
s(40,32,28)s(24,48,20)-t(32,48,12)t(40,40,12)+t(24,40,20)+-
s(40,40,20)s(24,32,28)c(32,24,20)+s(24,24,28)t(16,24,12)-*-
t(24,40,28)s(24,40,20)*s(40,32,28)s(40,48,20)*s(8,48,12)+-
t(24,40,28)t(24,32,20)-s(24,48,20)t(24,48,12)-+s(16,32,12)-
s(24,16,20)s(24,32,28)s(32,32,28)s(24,32,28)c(40,16,12)----
c(24,40,20)s(24,8,12)t(32,40,28)s(24,40,28)*t(32,32,20)*+*
s(32,48,20)s(40,24,12)c(48,16,12)+t(24,40,20)+-s(32,40,20)+
s(24,40,28)t(24,24,20)s(40,24,20)++c(24,24,20)-s(32,32,12)+
c(40,24,12)s(24,40,28)+s(32,32,28)*t(24,40,28)+t(32,32,28)-
s(40,40,20)t(16,16,12)+c(32,40,20)*c(32,32,28)t(32,48,28)**
s(24,48,12)t(24,32,28)t(24,40,12)s(48,40,20)+c(48,24,12)--+
s(32,32,28)t(24,24,20)s(32,16,20)+c(32,24,20)+-t(40,24,20)+
c(32,40,20)t(32,32,28)*s(24,48,20)s(32,40,20)*s(32,32,12)+*
c(16,16,12)t(24,48,28)+s(32,40,12)t(24,40,20)+s(32,32,20)*-
s(48,32,12)t(32,48,28)c(32,24,20)c(24,32,20)*-+s(40,24,20)+
c(24,40,20)t(40,48,20)t(24,48,12)c(40,40,12)++*c(24,32,20)+
s(32,40,20)t(24,32,20)t(16,32,12)--s(48,40,12)-t(32,16,12)+
s(24,32,28)c(48,32,12)s(8,16,12)+s(40,40,28)*s(8,8,12)+-
c(32,32,20)c(24,40,20)+s(32,48,20)s(40,24,20)-s(16,8,12)+-
c(24,32,20)c(40,48,12)-c(24,40,20)s(24,40,12)-t(32,48,20)--
s(32,24,28)t(32,32,28)s(16,40,12)s(48,32,12)+-*s(24,48,12)+
c(16,16,12)s(48,40,20)+s(40,16,20)-s(24,24,28)*c(32,32,28)*
s(24,24,28)s(40,32,20)+s(40,16,12)-c(24,40,20)*t(32,56,12)+
t(24,48,12)s(40,32,20)+t(40,16,12)-t(32,48,28)*s(48,32,20)+
c(40,40,20)s(32,16,20)-s(48,32,20)t(48,16,12)--s(24,32,28)+
s(24,48,20)c(24,32,20)s(16,48,12)--c(40,48,12)t(32,48,12)++
s(16,48,20)s(32,16,20)c(24,40,20)t(24,24,20)-+s(32,40,20)*-
t(40,24,20)s(40,40,28)s(24,24,28)s(40,24,28)t(32,32,28)+**+
c(40,32,20)t(24,32,28)+t(24,40,20)-t(32,32,28)*t(24,40,28)-
s(40,40,28)c(40,48,12)-s(16,32,12)+t(24,32,28)c(40,32,12)--
c(40,24,20)c(48,16,12)-c(40,32,20)+s(48,16,20)t(16,16,12)+*
t(32,40,20)s(24,8,12)t(24,40,12)t(48,48,12)++c(40,40,12)--
s(40,24,28)s(24,24,28)*s(40,40,20)t(24,48,12)--s(40,32,20)-
t(32,32,28)c(24,32,20)s(40,48,20)+c(24,24,20)*c(32,32,20)**
s(40,48,20)c(40,32,20)s(32,40,28)s(40,48,20)s(16,40,20)---*
c(40,32,20)s(32,40,28)t(24,40,12)s(16,8,12)+-c(40,40,12)--
t(32,32,28)t(40,24,20)s(40,40,28)*-s(32,48,12)+s(32,24,20)-
s(40,32,28)c(24,32,20)t(24,32,20)--t(40,40,12)-c(24,24,20)*
c(24,40,20)s(8,32,12)-c(32,32,20)+s(40,32,20)t(32,32,20)+*
s(24,32,12)s(40,32,28)s(24,32,12)s(24,24,12)+-t(48,32,12)-+
s(24,24,28)s(40,8,12)-t(32,32,28)s(48,32,20)*-s(32,40,20)-
s(24,32,28)c(24,40,20)*s(48,48,20)+c(24,24,20)s(32,32,20)**
t(48,48,12)s(32,40,28)s(48,48,12)-+s(32,24,28)s(16,32,20)-*
s(16,32,20)t(24,32,28)*s(32,24,20)s(16,24,12)t(40,32,20)+*-
c(24,24,20)c(32,24,20)*c(16,40,12)+t(24,32,28)*t(32,40,28)*
t(32,32,28)s(48,32,20)s(16,8,12)+t(24,32,12)+*c(48,32,12)-
c(40,40,20)t(40,48,12)-t(24,48,28)-s(8,48,12)+s(16,40,20)-
s(48,48,20)t(32,40,20)-t(24,40,20)t(24,32,20)++s(32,40,28)-
t(16,48,12)t(32,32,20)+s(40,24,28)c(32,40,20)+*s(24,32,20)*
s(40,48,20)c(32,32,20)s(16,48,20)-t(48,48,12)+s(48,8,12)+-
t(40,16,12)s(24,24,28)s(32,16,12)-t(24,24,20)s(32,24,20)*-+
c(32,40,20)s(24,48,20)+t(32,48,20)s(40,24,20)c(24,24,20)*++
t(24,32,28)c(40,40,12)-c(24,24,20)t(40,48,20)+s(40,24,28)**
s(40,40,28)s(8,32,12)t(40,56,12)c(40,32,20)++s(32,48,20)-*
s(16,16,20)c(40,24,20)s(24,32,20)t(24,56,12)s(32,32,20)+*+-
c(32,32,20)s(32,32,20)t(40,56,12)+s(40,16,12)+t(24,48,28)+*
s(40,40,28)c(40,24,20)t(24,32,20)c(32,24,20)*s(40,32,20)+**
s(40,16,20)c(40,24,20)s(48,24,20)s(24,40,12)+*t(24,48,28)-*
t(40,48,12)c(24,32,12)t(40,16,12)+s(40,40,20)-+c(32,32,20)+
t(40,56,12)s(24,24,28)+t(32,48,20)-s(32,16,20)-c(40,24,20)-
t(16,16,12)c(48,40,12)+s(32,24,20)-c(40,16,12)+t(40,24,12)-
t(32,32,28)t(32,32,20)s(40,32,20)+*s(32,32,12)-t(24,40,12)+
s(24,24,28)t(48,24,12)+c(24,32,20)t(40,24,12)-*t(32,32,12)-
s(32,32,12)s(16,48,12)c(40,48,12)++s(48,40,20)t(24,32,28)--
s(32,40,20)s(40,40,20)s(32,32,20)-t(32,40,28)t(40,32,12)-+*
s(32,40,20)t(24,32,28)*s(24,24,28)t(32,32,28)s(48,24,20)+**
s(40,40,20)s(16,24,20)s(32,32,28)c(16,48,12)-*c(24,24,12)+-
s(24,40,12)s(48,24,12)c(32,16,12)++s(24,16,12)s(40,32,20)+*
s(40,40,20)c(32,48,12)c(32,24,20)+s(24,16,20)-s(32,16,20)-*
t(40,16,12)s(32,40,20)s(16,24,20)s(32,24,28)*-+t(32,24,12)+
s(40,16,20)s(24,32,28)c(24,40,12)-s(24,40,20)t(32,40,20)*--
t(24,24,20)t(16,16,12)+s(16,32,20)c(24,32,20)s(24,48,20)*+*
s(40,32,28)s(40,48,20)*t(32,48,12)t(16,16,12)+-c(48,32,12)+
t(32,24,20)s(24,24,20)t(32,32,28)c(40,40,20)+c(32,24,20)***
s(40,24,28)c(40,32,20)s(40,48,20)s(40,40,12)-c(40,40,20)*+*
t(32,40,28)s(16,24,12)t(32,40,12)++s(32,16,12)t(24,48,20)+-
s(8,32,12)s(16,48,12)+s(32,40,20)t(40,24,12)-c(48,40,12)--
s(40,24,28)s(24,32,28)s(16,24,20)-+t(32,48,12)s(48,24,12)+*
s(24,16,20)t(16,48,12)+s(32,32,12)t(40,48,20)++s(48,40,20)*
s(24,16,20)t(24,24,20)-s(40,24,20)+c(24,40,12)s(32,24,20)+*
s(32,32,20)c(40,24,20)*t(48,32,12)s(8,48,12)++t(24,32,20)+
s(24,24,28)s(8,8,12)s(48,16,20)s(8,40,12)++t(24,32,20)++
c(24,32,20)s(32,24,28)s(40,32,28)--c(24,40,20)c(48,24,12)+*
s(48,32,20)c(32,32,20)c(16,48,12)-s(24,16,20)s(32,32,12)++*
s(16,32,20)c(40,32,20)t(24,24,20)-t(40,40,20)t(48,16,12)+++
c(40,32,20)c(32,48,12)-s(24,40,20)+s(24,32,28)+s(40,48,12)-
t(24,48,28)c(32,40,20)t(40,32,20)*-s(32,16,12)+s(32,48,20)-
s(48,48,20)s(24,32,20)s(32,32,28)t(16,24,12)-*c(32,40,20)*+
s(48,48,20)c(40,24,20)+t(40,40,20)t(32,40,20)+*t(16,24,12)+
s(48,24,20)c(32,16,12)+t(16,40,12)+c(32,32,28)*s(32,40,20)-
c(40,24,12)s(48,48,20)t(24,56,12)++s(48,48,12)t(32,24,12)+*
s(32,24,20)s(32,40,28)s(32,8,12)c(32,40,20)++s(24,32,20)**
s(32,48,20)s(24,32,12)-t(32,48,28)s(24,24,28)s(16,40,12)--*
s(40,40,28)s(48,40,20)s(24,48,12)+-c(32,40,12)+c(24,24,20)-
s(24,40,20)s(16,32,20)c(24,40,20)t(16,32,12)-+s(32,32,20)**
c(32,24,20)s(32,32,12)c(40,48,12)+s(48,24,20)--t(32,32,20)-
s(32,32,28)s(32,16,20)-s(24,32,28)c(32,40,12)c(40,16,12)+*-
c(40,40,20)s(24,48,20)-s(40,40,12)-s(40,40,12)s(24,24,12)++
c(40,32,20)s(24,32,20)*c(40,16,12)s(24,16,12)+c(24,40,20)--
s(24,24,20)t(24,40,28)s(24,32,28)c(24,16,12)-s(32,24,12)-*+
s(40,40,20)s(40,24,28)t(32,24,20)s(32,48,12)+s(32,24,28)*--
s(40,32,20)s(24,24,28)t(40,32,20)+t(32,16,12)-*s(48,32,20)*
s(16,32,20)s(24,24,20)c(16,32,12)+s(24,24,28)t(24,40,28)***
s(24,40,28)t(32,48,28)t(16,16,12)s(24,32,20)+s(40,40,20)+-+
s(8,8,12)t(32,40,20)t(40,24,12)++t(24,48,20)+s(40,16,12)+
s(16,24,20)s(24,24,28)s(32,32,28)--s(16,16,20)+s(8,32,12)-
t(40,24,12)t(40,16,12)t(24,40,12)c(48,40,12)+++s(48,48,12)-
s(32,32,28)c(24,32,12)s(32,16,12)s(24,48,20)++t(32,16,12)--
t(32,24,20)t(24,24,20)+s(32,48,20)t(32,48,28)c(32,32,28)**+
s(24,32,28)c(32,32,20)s(48,48,20)-s(24,48,20)-*s(48,16,12)+
t(24,32,28)c(32,32,28)t(40,48,12)t(32,56,12)s(32,48,12)++*-
t(24,40,28)c(24,32,20)s(16,40,20)**c(32,48,12)+t(32,56,12)-
t(24,40,28)s(24,16,12)+c(40,24,12)t(24,32,20)+t(40,32,12)-*
s(40,32,20)t(24,56,12)s(24,24,28)+s(8,16,12)s(48,40,20)+*-
s(32,16,20)s(24,24,20)c(32,40,20)-+s(40,24,20)s(32,32,20)+-
s(32,24,20)s(40,40,28)t(32,48,28)s(24,32,28)-+c(32,40,20)**
s(32,40,28)s(48,32,20)s(40,40,20)**c(48,16,12)+s(24,32,12)+
s(24,40,28)t(32,32,28)s(32,32,20)s(24,40,20)c(24,48,12)----
t(24,32,28)s(32,40,28)*t(24,48,28)t(24,56,12)s(48,16,12)+++
s(40,48,20)s(48,40,20)-t(16,48,12)t(32,24,12)++c(24,24,20)-
s(32,40,28)s(48,40,20)*t(32,48,20)s(48,8,12)s(48,24,12)+++
s(40,40,20)c(40,32,20)*s(24,32,28)s(24,40,28)c(32,32,20)*-+
t(48,48,12)c(40,16,12)+s(48,24,20)t(40,32,12)-t(32,32,28)--
t(24,32,28)c(32,48,12)+c(48,32,12)s(24,48,20)++t(32,48,12)-
s(16,40,20)c(40,16,12)+c(24,32,20)s(32,16,20)*s(32,40,12)+-
s(40,32,28)t(40,48,20)+t(24,32,28)s(16,16,20)s(40,8,12)+--
s(40,16,20)s(48,24,20)s(48,48,12)c(32,24,20)+t(40,48,20)-+*
c(24,32,20)s(32,32,28)s(32,16,20)+s(40,40,28)**s(32,40,20)*
c(24,24,20)c(32,32,20)s(32,24,28)*c(24,48,12)-*c(24,40,20)*
s(32,40,20)s(48,48,20)+s(24,48,20)+c(40,40,20)s(40,24,28)**
s(24,32,20)s(40,40,28)t(24,24,20)-+t(40,32,20)-t(32,40,20)-
t(32,32,20)s(48,16,20)+t(32,32,28)t(40,48,20)s(16,48,20)+++
c(16,48,12)t(40,56,12)c(48,40,12)++t(24,24,20)s(32,40,20)+*
t(40,40,12)c(32,32,28)s(16,48,20)+s(16,48,12)-s(48,32,20)-+
t(16,48,12)s(32,16,20)+t(32,32,28)*s(24,24,20)+c(32,24,12)-
s(24,48,20)s(24,32,12)+s(16,32,20)s(16,16,20)--t(40,48,12)-
c(32,24,12)t(32,40,20)t(40,24,20)-t(40,40,12)++s(24,32,20)*
t(48,16,12)s(24,32,28)t(32,40,28)*c(40,24,20)s(24,8,12)+*+
t(24,40,20)t(32,40,28)s(40,40,12)-c(16,40,12)-s(40,24,28)++
c(32,40,20)t(48,32,12)-s(24,32,28)*c(24,48,12)-t(40,32,20)+
s(24,24,12)t(24,40,28)s(24,24,12)c(40,32,12)+s(16,32,12)+-+
s(24,16,20)c(32,24,20)t(32,40,28)*c(32,32,28)s(32,40,20)-+*
c(32,40,20)s(40,32,20)c(40,24,20)*s(40,16,12)-t(32,56,12)+*
s(40,48,20)t(32,40,28)*s(32,48,20)*t(32,24,12)t(16,40,12)++
s(40,40,20)c(40,24,20)s(40,40,28)*c(24,32,20)*t(40,40,12)+*
s(24,48,20)t(32,32,20)-t(32,32,28)+s(24,32,28)+s(40,40,28)*
s(32,24,20)s(24,24,28)s(24,40,20)*s(32,48,12)++c(40,24,20)*
c(32,24,20)s(40,24,20)t(32,56,12)+c(48,32,12)-+s(32,32,28)*
t(32,40,20)s(24,32,20)t(16,56,12)+s(48,48,12)t(48,16,12)++*
t(40,40,20)c(32,32,20)*s(48,8,12)+s(32,24,28)c(32,40,20)*-
s(24,40,28)s(32,32,20)c(40,32,20)s(32,40,20)**s(40,32,20)**
s(24,40,28)t(32,24,12)-c(24,40,20)s(8,48,12)t(24,24,20)+++
t(32,48,20)s(40,24,28)t(32,32,28)*s(24,32,20)s(48,40,20)+*+
s(16,24,20)s(8,40,12)-t(32,40,20)-s(32,48,20)+t(24,48,20)*
t(24,32,28)c(32,24,20)t(32,32,28)+s(32,16,20)-t(32,48,20)--
s(24,40,20)c(24,16,12)s(40,48,20)+-s(40,32,20)+t(40,40,20)*
s(24,32,28)t(16,56,12)s(32,32,28)+*s(40,24,12)-c(32,32,20)*
c(24,24,12)c(24,16,12)s(32,32,20)+t(24,40,28)-+s(16,32,12)-
c(24,16,12)s(16,32,12)+s(40,24,28)+c(32,40,12)s(40,48,12)++
c(32,32,20)t(48,32,12)-t(32,32,28)s(40,48,20)-s(32,16,20)+*
c(40,32,20)s(32,24,20)c(16,24,12)--t(32,40,28)s(48,24,12)+*
s(24,24,28)s(24,40,28)s(32,40,28)s(24,24,20)-+*t(24,32,28)*
c(32,40,20)t(48,48,12)-t(24,48,28)s(32,48,12)-*c(40,48,12)+
c(24,40,20)t(32,32,28)-s(16,40,12)-s(32,40,20)t(32,24,12)-+
s(40,40,20)t(32,32,12)-c(40,24,12)+s(16,16,12)+t(24,40,20)-
s(16,32,12)s(16,16,20)c(40,32,12)++s(40,24,28)t(40,32,20)--
c(48,40,12)c(32,24,20)s(24,16,12)-t(32,32,28)*s(32,24,20)++
c(32,40,20)s(24,24,20)s(24,24,12)-s(40,24,20)+c(40,40,12)--
s(48,32,20)t(24,24,12)t(16,48,12)c(40,24,12)s(48,40,20)+++*
s(24,40,28)c(32,40,20)t(32,32,28)s(48,32,20)+s(48,40,20)-*-
s(32,24,28)s(32,16,12)-c(32,24,20)s(48,32,12)t(40,32,20)+*-
s(32,24,20)s(32,40,28)t(32,48,20)t(16,16,12)+-c(40,40,20)*+
s(16,40,20)t(48,32,12)t(40,24,12)s(48,24,12)++s(16,24,20)+*
t(32,32,28)t(24,48,20)s(40,40,20)+c(16,40,12)-*t(40,48,12)+
s(40,16,20)c(40,32,20)s(32,32,28)c(32,40,20)s(40,32,20)*-*-
t(32,24,20)s(48,16,12)t(32,48,20)+s(32,16,20)+*t(24,32,28)+
t(24,40,28)c(32,32,20)*s(32,16,20)+s(24,40,20)-s(24,32,28)*
s(24,32,20)t(24,32,28)c(32,32,28)s(16,16,20)t(40,24,20)+*--
c(32,24,20)t(24,40,28)s(48,48,20)s(40,48,20)*t(40,48,20)*--
t(32,32,20)s(32,24,28)s(32,24,12)c(48,24,12)c(32,32,12)++--
s(40,24,28)s(40,16,20)-c(24,40,20)s(48,48,20)s(16,40,12)+*-
s(48,48,20)s(48,24,12)t(32,48,20)+s(32,16,20)-+c(32,32,20)-
s(24,32,28)s(40,40,28)c(48,16,12)+*t(32,32,28)*t(24,32,12)-
c(32,32,20)s(48,16,12)+s(40,40,20)+c(40,40,20)t(24,48,28)--
s(32,40,20)s(40,32,20)*c(24,32,12)+s(16,24,20)+c(40,40,20)*
s(32,16,20)s(32,32,28)t(32,48,28)*+s(48,48,12)t(40,32,20)+-
c(24,40,20)c(24,24,20)s(32,40,12)-c(24,32,20)*-s(40,40,28)*
c(32,16,12)s(32,48,20)s(40,40,28)+c(40,24,20)*s(48,40,12)++
s(24,24,28)t(24,40,28)c(24,24,20)*-s(32,24,28)*t(32,40,20)+
s(40,16,20)c(32,40,12)s(32,16,20)+s(48,24,20)t(40,24,20)*--
s(24,40,28)s(48,8,12)t(32,32,28)+-t(48,24,12)+t(32,56,12)-
s(40,40,20)c(24,40,12)+t(32,56,12)+t(24,32,28)-c(24,16,12)+
s(16,48,12)c(48,32,12)+s(32,32,20)-t(24,32,20)+t(24,48,20)-
s(40,24,28)s(16,8,12)s(40,8,12)t(32,24,12)++-t(32,24,12)+
s(24,16,20)c(32,24,20)s(24,32,28)t(24,32,20)-c(40,40,20)-++
s(40,24,28)t(32,40,28)t(32,24,20)+c(40,48,12)t(32,16,12)+*-
s(16,24,20)s(32,32,28)s(48,24,20)c(40,32,12)+-s(24,48,20)*+
s(24,24,28)s(40,24,28)s(32,16,20)*s(48,32,20)-s(32,24,20)+*
s(40,8,12)c(24,32,20)s(32,40,20)-+c(40,48,12)+c(32,40,20)*
s(40,48,20)t(24,32,12)s(24,48,20)+s(24,24,20)-+c(40,40,20)+
s(24,40,28)c(40,40,12)-s(32,16,20)+s(32,40,28)+s(48,48,20)-
c(32,32,20)s(40,48,20)-s(32,40,28)s(8,8,12)c(32,40,20)+**
s(16,16,20)s(40,24,28)-s(32,24,28)s(24,24,20)s(40,8,12)+*-
t(24,24,20)c(32,48,12)+c(40,24,12)+s(48,24,12)t(48,40,12)++
c(40,32,20)c(32,32,20)+s(48,16,20)*t(48,32,12)+s(16,48,20)+
s(16,40,20)s(16,32,20)s(40,32,28)c(40,32,12)-t(40,24,20)--*
s(48,16,20)c(32,24,20)s(40,8,12)c(48,24,12)+t(32,16,12)---
t(24,32,28)t(32,32,28)t(16,16,12)+c(24,32,12)--c(32,24,20)*
s(24,32,28)t(32,24,20)t(48,24,12)t(24,16,12)+-t(24,56,12)+*
t(32,56,12)s(32,32,28)t(16,40,12)-s(24,40,12)-s(48,40,20)++
c(32,32,12)s(40,48,20)+s(48,40,20)t(48,24,12)+-s(32,24,12)-
c(32,32,28)s(40,40,28)s(32,24,20)*-s(16,16,12)-s(16,32,12)-
s(16,8,12)s(48,48,20)+s(24,40,28)c(32,32,28)*+s(40,8,12)+
t(32,40,28)t(24,40,12)-s(48,32,20)c(40,48,12)+s(24,48,12)+*
c(24,24,20)t(40,32,12)-s(32,40,12)-s(24,32,12)-s(8,16,12)-
c(32,24,12)s(48,24,20)t(24,32,28)-+s(24,24,12)+t(40,24,20)-
c(24,40,20)t(40,32,20)+s(16,48,12)-t(16,24,12)-t(24,32,28)*
s(48,32,20)s(24,32,28)-c(32,24,12)+c(24,40,20)-s(32,24,20)-
c(40,40,20)s(32,32,20)t(24,48,20)+s(16,16,20)+t(16,16,12)--
s(40,40,12)c(16,24,12)+s(16,48,12)+s(32,32,12)+s(8,32,12)-
s(40,24,28)s(16,16,20)s(40,16,20)s(32,48,20)++c(32,40,20)**
s(32,40,28)s(40,32,12)-t(16,24,12)-s(32,32,28)*c(16,48,12)+
s(32,24,20)s(48,32,20)-s(40,16,20)+s(48,8,12)-s(40,8,12)-
s(16,16,20)s(24,32,28)s(32,40,28)s(32,24,28)**-s(24,40,28)+
s(16,24,12)s(24,48,20)c(32,32,20)-s(40,48,20)s(40,32,12)-++
s(32,40,20)t(24,40,20)c(40,40,12)+c(32,32,28)s(48,32,20)-*+
c(32,40,20)t(24,56,12)t(32,32,20)+c(24,24,20)s(16,16,12)-**
t(24,48,20)s(32,40,12)-s(48,24,20)+c(32,40,20)*c(32,24,12)+
c(32,24,20)s(40,40,28)s(24,40,28)s(32,24,12)-*s(48,40,20)--
s(40,48,12)c(24,24,20)+t(32,16,12)s(48,48,20)+s(24,24,12)+-
t(24,32,28)t(24,16,12)t(32,48,20)+t(32,32,28)c(16,40,12)-++
t(24,40,28)c(32,24,20)s(40,32,20)*+s(32,32,28)s(32,16,20)*-
s(32,32,28)t(32,24,12)-s(40,24,20)-c(48,24,12)+c(32,24,12)+
t(24,32,28)s(16,32,20)s(40,48,20)+c(48,32,12)-s(40,24,20)-*
t(32,40,20)c(40,24,12)c(40,24,20)t(24,32,28)-+t(24,32,28)+*
t(40,32,20)s(24,24,28)t(24,32,28)c(16,24,12)-*+s(32,32,20)*
s(24,32,20)s(16,40,20)*s(32,16,20)s(32,16,12)t(16,24,12)+*-
c(32,32,20)t(48,48,12)c(32,24,20)+c(40,32,20)*-c(32,48,12)+
t(24,40,12)t(24,32,20)c(48,32,12)+c(40,32,20)c(48,40,12)-*+
s(24,24,12)s(40,32,20)+c(32,32,20)t(32,40,20)t(16,40,12)+-*
c(48,16,12)c(32,24,20)+c(32,24,12)c(40,32,12)+-s(48,24,20)-
s(32,16,20)s(40,40,20)s(24,40,20)c(32,32,20)+*s(32,24,28)*-
c(40,32,12)s(32,40,28)t(24,32,20)*c(16,16,12)+s(24,40,12)-+
c(32,40,20)t(32,24,20)-s(32,32,28)*s(24,24,20)-s(48,16,12)+
s(24,16,12)t(32,56,12)+s(32,40,12)+s(40,32,20)+s(24,24,20)*
c(40,32,20)c(24,40,20)*c(40,24,20)t(24,32,28)c(32,16,12)---
s(40,24,28)c(24,40,20)s(32,24,12)--t(32,40,28)s(24,24,12)--
c(40,24,20)s(32,16,20)t(24,40,28)--s(24,40,20)s(16,24,12)+-
s(40,40,20)s(48,40,20)+c(24,40,12)+s(16,40,12)t(48,24,12)+-
c(48,40,12)s(8,24,12)+s(40,8,12)s(40,32,12)++c(32,24,12)-
s(40,48,20)s(40,40,20)s(48,40,20)+t(40,48,12)-c(40,16,12)+-
s(32,40,20)c(32,40,20)t(40,40,20)t(32,56,12)+*s(32,16,20)+*
c(40,48,12)s(24,32,20)+t(16,40,12)-s(40,32,20)*s(32,24,28)*
s(48,32,20)s(32,24,20)s(32,48,20)s(40,16,12)++*s(16,16,20)+
s(32,32,20)c(24,48,12)+s(40,24,28)s(24,32,28)t(32,48,28)--+
c(32,24,20)s(24,32,28)c(32,16,12)t(16,24,12)+*s(24,40,28)+*
t(40,40,20)c(40,40,20)t(24,40,20)t(24,48,20)+s(40,24,28)--*
c(48,32,12)s(24,40,20)+s(40,16,20)-c(32,32,20)t(24,24,20)-*
s(48,8,12)s(24,16,20)t(16,16,12)-s(32,32,20)s(24,24,28)*-+
c(40,40,20)c(24,40,20)t(24,56,12)s(32,24,28)+s(48,40,20)+**
s(40,40,28)s(16,32,12)c(32,40,20)+*c(16,24,12)+s(32,48,20)*
s(32,40,28)s(24,40,28)s(8,32,12)-c(40,40,12)s(16,24,12)++*
s(32,40,20)c(40,32,20)t(32,24,20)c(40,40,20)s(40,24,28)*+*-
c(32,32,20)c(32,32,20)s(24,32,12)-t(32,40,20)--c(16,40,12)-
s(32,32,28)s(24,32,28)s(24,24,28)*t(32,48,20)+s(24,24,28)**
c(24,24,12)s(40,40,12)t(24,32,28)c(32,40,20)*s(40,40,12)-++
s(24,8,12)t(24,40,28)t(16,16,12)s(24,40,12)+++s(32,40,12)-
s(32,24,28)t(40,24,20)c(32,48,12)+s(24,40,20)*c(24,32,12)+*
c(32,32,12)c(48,40,12)+s(24,24,20)t(32,32,28)c(40,24,20)+*-
s(40,32,28)s(40,40,20)c(32,32,12)t(24,48,20)+-t(24,16,12)+*
s(24,48,20)t(40,40,20)s(48,24,12)c(16,40,12)+--s(40,48,12)+
t(48,16,12)c(48,40,12)+t(24,32,28)+s(32,40,12)-s(32,16,20)*
t(24,56,12)s(24,32,20)+c(24,40,20)s(32,40,20)+s(24,32,20)--
s(32,32,28)t(24,32,28)-s(48,16,12)-t(32,48,20)+s(32,40,20)*
s(40,40,20)s(40,24,28)*s(48,40,20)+s(48,24,20)*s(32,8,12)+
s(32,24,28)c(32,40,20)s(48,32,20)*s(48,32,12)+-s(32,24,20)*
t(24,40,12)s(32,24,20)+c(24,40,12)+c(32,40,20)s(16,40,12)--
s(40,24,28)s(24,40,20)s(40,32,20)+*t(24,40,20)s(40,48,20)+*
s(40,32,28)s(24,40,12)c(32,24,20)t(24,32,28)*s(16,32,12)-+*
s(32,32,28)s(48,16,20)-c(48,32,12)-s(24,24,28)*c(24,40,20)*
s(8,8,12)c(32,32,28)s(48,16,20)c(32,24,12)+-s(48,40,12)-+
s(48,40,20)s(32,40,20)*c(40,48,12)c(16,40,12)t(24,40,20)+++
s(40,16,20)t(32,40,28)t(48,16,12)+-s(32,32,20)c(24,40,12)+-
c(40,16,12)s(48,48,20)+s(32,40,28)*s(48,48,20)*s(8,32,12)+
t(40,16,12)s(32,24,20)s(16,8,12)s(40,32,20)t(24,48,28)++*+
t(32,48,28)s(32,24,28)c(24,32,20)s(40,40,20)+-c(48,40,12)+-
s(32,24,28)t(48,32,12)c(24,16,12)s(24,40,20)+s(32,24,20)*+-
c(32,32,20)c(32,40,20)*s(40,32,20)s(40,48,12)-s(32,48,20)--
t(24,32,28)c(32,40,20)t(40,24,20)t(16,32,12)+c(32,32,20)*++
s(16,24,20)s(16,40,20)s(40,40,28)t(32,48,20)-c(48,32,12)---
c(32,48,12)s(40,32,20)c(48,48,12)++s(40,32,28)t(32,16,12)-*
c(32,32,28)s(32,32,12)s(8,8,12)+-s(32,48,20)c(24,40,20)**
t(24,40,28)s(40,32,28)*t(32,48,20)+t(32,40,20)s(24,24,28)+*
c(48,24,12)c(32,48,12)t(40,56,12)++c(16,16,12)+c(32,24,20)*
t(32,40,20)s(48,24,20)s(48,32,20)+t(24,56,12)c(40,40,20)+*+
t(16,48,12)s(48,40,20)s(24,32,28)-+t(40,40,20)-s(24,8,12)+
s(32,48,12)s(40,24,28)t(32,32,20)s(8,8,12)+*c(24,24,20)*+
t(24,40,28)c(32,40,20)c(40,24,12)+t(24,48,20)--t(40,32,12)+
s(40,40,28)t(24,32,12)-t(32,48,12)-t(24,16,12)s(40,16,20)+-
s(40,16,12)c(24,32,20)t(16,16,12)-t(16,40,12)-s(40,32,28)*+
s(8,48,12)c(16,32,12)t(24,40,20)++s(24,48,12)-c(32,24,20)-
s(32,24,28)t(24,40,28)*t(32,32,28)s(24,40,20)*s(32,8,12)+*
s(24,24,28)s(48,16,20)-t(24,48,20)s(32,24,28)-+c(40,24,20)*
s(24,24,20)s(48,48,12)+c(40,24,12)t(40,48,12)t(16,16,12)++*
s(48,40,20)s(40,16,20)+c(32,40,20)t(40,48,20)*-c(32,24,20)*
s(48,16,12)s(40,32,20)+c(40,24,20)*t(48,40,12)s(48,16,12)+*
s(40,32,20)c(32,32,28)s(24,32,28)s(40,24,28)--t(40,32,20)--
s(40,24,28)c(40,24,20)c(24,24,12)c(32,24,12)s(24,48,12)++*-
c(32,32,20)s(24,40,20)s(24,40,12)--c(32,16,12)c(48,24,12)++
s(16,16,20)c(32,40,20)s(24,48,20)t(32,40,20)c(16,40,12)---+
s(24,32,28)s(24,32,28)t(48,48,12)+s(32,40,28)**s(24,40,20)*
s(24,48,20)s(24,24,28)-c(32,32,20)c(24,24,20)-+s(32,32,20)-
s(48,24,20)s(24,32,28)t(16,40,12)-t(16,32,12)--c(32,24,20)+
t(24,48,28)t(24,40,12)c(32,32,12)+s(24,40,20)+c(16,40,12)--
s(48,32,20)t(32,24,20)+s(48,24,20)s(48,32,12)-s(16,24,12)+*
c(40,40,12)s(32,24,28)t(24,24,20)s(24,40,12)+*+t(32,40,20)-
s(32,16,20)t(40,32,20)-s(40,32,20)t(40,40,12)s(16,48,12)+--
t(24,32,28)c(40,40,20)t(40,56,12)-s(40,40,20)s(32,32,12)-*-
t(48,56,12)s(16,24,20)t(32,40,28)-+t(40,48,12)t(24,24,12)+-
s(16,16,20)c(16,48,12)+s(32,24,28)*s(48,24,12)+t(48,56,12)+
t(24,32,20)s(48,24,12)+s(16,48,20)+t(32,48,28)*t(32,40,28)*
s(16,40,20)c(24,40,20)t(40,40,20)-s(24,48,20)**t(40,32,12)+
s(32,40,28)t(48,40,12)-s(32,48,12)-s(32,16,20)-c(32,24,20)-
s(48,24,20)c(40,24,20)s(48,48,20)c(40,40,20)*-*c(32,24,20)+
s(16,32,20)s(16,16,20)*s(24,24,20)t(24,32,20)++t(32,40,28)-
s(24,16,20)t(32,32,28)s(16,48,20)s(24,40,20)*c(48,48,12)+++
t(40,32,20)c(32,24,20)c(32,32,20)*+s(32,24,20)+s(8,48,12)+
s(48,48,20)s(40,32,20)c(32,24,20)*-s(24,32,20)+c(24,40,20)*
c(32,32,20)s(24,40,28)t(24,40,12)t(40,24,12)+s(16,48,20)+++
c(40,48,12)t(24,24,12)s(32,48,12)++c(40,32,12)+s(32,32,20)-
s(48,24,20)s(48,32,20)*s(16,40,20)c(40,32,20)s(24,24,28)*+-
c(24,40,20)t(40,24,20)-t(32,40,28)c(24,16,12)+*c(16,32,12)-
c(24,24,20)c(24,32,12)-s(48,16,12)+s(8,32,12)-s(40,8,12)-
c(16,16,12)s(32,40,12)+t(32,40,28)t(24,32,28)c(40,48,12)+*-
t(16,24,12)s(16,40,20)+t(40,32,12)c(24,40,20)s(40,40,20)-+-
c(24,40,20)s(24,24,20)*t(48,24,12)t(24,40,28)t(16,40,12)-++
c(40,32,20)t(24,32,28)c(24,40,20)c(40,40,12)+*-s(24,40,20)+
c(24,40,20)c(24,24,20)c(40,24,20)s(32,16,12)-+s(16,24,12)-*
t(24,48,28)t(32,32,28)c(40,32,20)c(48,48,12)-+*c(24,24,12)+
c(32,32,20)s(8,32,12)+s(32,24,28)*c(24,40,20)*s(16,32,20)*
s(48,40,20)s(40,40,20)*s(40,32,28)s(40,48,20)*+c(40,24,20)*
s(32,40,20)s(40,32,12)s(40,16,20)+s(32,40,28)s(40,24,20)**-
c(16,24,12)s(32,32,20)t(32,48,20)-+s(16,24,12)-s(24,40,28)*
s(8,48,12)s(24,24,28)+s(32,24,20)s(24,40,12)+*s(40,40,12)-
c(24,40,20)c(40,24,12)t(24,16,12)+s(24,24,28)s(40,32,28)---
s(16,24,20)c(24,32,12)-t(48,48,12)c(16,24,12)++t(32,32,28)-
c(24,16,12)s(24,40,28)t(32,32,28)t(24,32,28)t(24,24,12)-*-+
c(32,32,28)c(48,24,12)-s(40,40,28)s(40,24,28)--s(24,40,20)*
c(32,32,20)s(16,48,20)+s(40,32,28)t(32,40,28)t(32,32,20)--+
s(40,32,28)s(48,16,20)-s(32,24,28)t(32,40,20)-t(24,24,12)--
t(24,48,12)c(24,24,20)s(16,8,12)-+c(24,24,12)-s(48,16,20)-
c(24,24,20)s(8,40,12)s(32,32,20)+*c(48,32,12)s(32,40,12)+-
t(32,48,20)t(48,16,12)s(16,8,12)++s(24,24,20)s(40,16,20)++
t(24,48,12)s(40,40,28)s(24,24,28)*+c(32,32,20)s(40,40,20)*+
c(32,24,20)s(40,24,28)+s(16,16,20)t(48,16,12)+*s(24,32,12)-
c(40,48,12)t(48,32,12)+t(24,48,28)s(16,8,12)++s(8,40,12)+
t(24,48,28)s(16,40,20)+c(40,40,12)s(24,48,12)t(16,24,12)++-
c(32,24,12)s(24,8,12)+c(24,32,12)+c(40,32,12)c(40,40,12)+-
c(48,16,12)t(24,48,28)+s(40,24,28)*s(24,40,20)-c(40,24,12)+
s(48,16,12)c(40,16,12)+s(24,40,28)t(32,40,28)-+s(16,24,20)-
s(40,40,20)t(24,32,28)s(16,40,20)c(32,32,12)--t(32,24,12)--
t(32,24,20)c(48,32,12)+c(40,16,12)-t(24,32,28)c(24,40,12)--
t(32,40,28)c(40,40,20)s(40,40,12)s(48,24,20)++s(24,24,28)--
s(24,24,28)t(32,32,28)*s(16,16,20)-c(32,24,20)*s(16,32,12)-
t(24,40,12)s(16,24,12)t(40,48,20)++c(48,48,12)t(24,48,12)+-
s(40,16,20)c(32,32,20)s(40,24,20)s(32,32,20)s(24,40,20)*-*-
c(40,40,20)s(48,32,20)s(8,8,12)c(40,24,20)+c(24,24,12)+**
t(40,48,20)s(40,32,28)s(40,16,20)c(40,16,12)--s(40,48,12)-+
s(24,40,20)s(40,32,28)+t(32,48,28)*s(48,40,12)c(32,16,12)+-
c(40,32,12)c(32,40,20)s(40,48,20)s(24,40,20)--+t(32,48,28)*
c(24,40,20)s(32,32,20)+t(24,32,20)-c(32,32,28)t(32,48,28)**
c(32,16,12)t(24,32,20)+s(24,40,28)*s(24,32,28)t(32,48,20)-*
s(16,48,20)c(24,32,20)s(32,24,28)*s(16,32,20)*-c(32,48,12)+
t(24,16,12)s(32,32,20)t(24,48,20)-t(24,32,28)*+s(24,40,28)*
t(16,32,12)s(40,32,20)t(32,32,28)c(24,32,20)s(32,24,28)***+
c(32,32,28)s(32,40,28)s(16,40,20)*s(16,48,20)+c(32,32,28)*-
t(24,40,20)t(24,40,28)t(40,24,12)+s(40,40,20)*+c(16,32,12)-
t(16,16,12)s(40,40,28)t(40,24,12)t(32,48,28)c(32,32,20)*+-+
c(32,24,20)s(48,32,20)-t(48,56,12)c(40,48,12)++t(24,32,20)-
s(32,48,20)t(32,32,28)t(24,48,20)-c(48,32,12)--s(40,48,12)+
s(24,24,28)t(24,40,28)*s(40,16,20)s(8,32,12)+t(16,40,12)++
s(32,40,28)s(16,8,12)+s(8,8,12)s(16,24,20)+*c(48,32,12)+
c(16,16,12)s(24,32,28)s(32,16,20)-+s(32,32,20)t(16,16,12)+-
t(24,40,20)t(40,40,12)+t(40,24,12)t(40,48,20)s(32,32,12)-+-
s(24,40,28)t(32,24,12)-c(16,24,12)+c(32,40,20)*s(16,24,20)-
t(32,32,28)s(40,24,28)t(16,24,12)+*s(40,16,20)s(24,32,20)+*
s(40,24,28)s(16,16,20)s(48,40,12)+c(32,32,20)-+s(48,40,20)+
s(48,32,12)s(32,32,20)s(24,24,20)s(40,40,12)+++t(24,32,28)*
c(24,32,20)c(40,40,12)-s(16,40,20)*s(24,32,28)t(24,40,28)*+
c(32,32,20)c(40,24,12)-c(40,40,12)c(24,48,12)+s(24,48,20)*-
s(32,40,20)s(8,16,12)t(40,48,20)+s(24,32,28)*s(32,24,20)+*
c(24,16,12)s(32,24,28)t(32,32,28)*c(24,24,12)-c(40,32,20)*+
t(48,48,12)c(40,24,12)t(24,32,28)++t(32,48,28)c(40,24,20)+*
c(24,24,20)s(40,32,12)-c(24,24,20)s(40,32,12)s(32,24,12)+*+
s(32,24,12)s(16,40,20)s(24,40,28)s(16,32,20)--+s(24,40,12)-
s(24,16,20)c(24,48,12)s(16,32,20)s(24,24,20)*s(8,24,12)++-
s(16,24,20)s(40,32,20)s(24,48,12)c(32,24,20)+t(40,16,12)-*-
s(24,24,28)s(40,24,20)t(16,32,12)+s(48,16,20)c(40,16,12)---
c(24,32,20)c(32,24,12)-s(32,24,28)*s(8,48,12)+s(48,40,20)-
s(24,40,20)s(40,40,28)*t(16,56,12)c(40,24,12)+-c(40,40,12)+
s(32,24,28)s(16,48,20)-s(24,24,28)*s(40,24,28)*s(32,40,12)+
s(32,24,28)t(40,32,20)s(16,32,20)-c(40,40,20)*-s(40,24,20)*
c(32,24,20)s(32,40,28)c(32,40,12)s(24,16,20)+*c(40,24,12)+*
t(24,32,12)s(48,32,20)s(40,24,20)*+s(48,40,20)+s(40,40,28)+
s(40,40,28)t(40,40,20)s(40,24,20)t(32,24,20)-+*c(48,16,12)-
s(24,32,28)t(40,16,12)s(48,40,12)+-s(40,32,12)-c(32,32,28)*
s(24,40,28)s(16,48,12)-s(32,40,28)c(24,40,20)t(16,32,12)-*+
s(24,24,20)c(48,40,12)+s(32,32,12)-s(24,24,28)s(24,40,28)+*
s(24,16,20)c(24,24,20)c(24,24,12)-c(16,24,12)+s(32,24,28)**
s(32,24,28)t(24,48,28)t(24,32,20)t(48,56,12)c(40,32,20)+++*
s(24,24,28)s(40,32,28)s(40,48,20)+-s(32,8,12)t(40,32,20)+-
s(16,24,20)t(48,40,12)+s(16,24,12)-c(32,24,12)s(16,8,12)+-
s(32,32,20)t(32,24,20)+s(40,40,28)s(32,24,20)s(48,8,12)+*-
s(32,24,20)t(24,32,28)s(24,48,20)--c(40,32,12)+c(24,40,20)-
s(40,24,12)c(16,48,12)+t(40,32,12)+t(32,24,12)+c(40,32,20)*
s(40,40,20)s(16,32,12)+s(24,32,28)t(24,40,28)*s(40,16,20)-*
c(24,40,20)t(48,24,12)c(32,48,12)+s(24,48,12)+-s(32,16,12)+
s(40,32,20)s(48,40,20)s(32,24,20)+*c(40,48,12)s(32,24,20)+*
c(24,24,20)t(40,56,12)s(16,24,12)+-s(24,16,20)c(16,24,12)-*
c(24,32,12)c(48,24,12)+s(40,24,28)s(24,40,20)-s(40,8,12)-*
s(48,32,20)s(48,32,20)s(32,16,20)+s(40,32,20)**c(32,40,12)-
t(32,32,28)s(48,16,20)-t(32,32,28)s(40,32,28)+t(32,32,12)-*
t(32,48,28)s(48,48,20)s(24,48,20)--t(24,48,28)t(32,48,20)**
s(32,16,20)c(24,24,20)c(32,40,12)s(24,40,20)s(32,48,20)*++*
s(24,40,20)s(48,48,20)-s(24,24,28)s(32,24,28)s(32,40,12)-*-
s(24,24,28)c(40,24,20)s(24,24,12)t(40,40,20)+c(24,32,12)+**
c(32,40,20)s(24,40,20)t(24,16,12)s(16,48,12)+++s(16,32,12)-
s(16,16,20)c(40,40,20)s(32,32,28)t(40,32,20)-c(48,40,12)--+
c(40,32,20)s(24,48,20)t(32,40,20)-+c(40,40,20)*s(48,32,20)*
s(24,40,28)s(16,8,12)c(32,48,12)+-s(24,40,12)-s(48,8,12)+
s(16,48,20)t(32,48,28)*s(32,16,20)t(32,40,12)+s(32,32,20)*+
s(40,32,20)c(24,24,20)s(40,40,20)s(32,48,20)*+s(40,32,28)**
t(24,32,28)s(32,16,20)s(24,24,20)t(40,48,12)+c(40,40,20)*--
t(32,24,20)s(32,32,20)s(24,48,12)c(24,32,12)t(40,40,20)++*+
t(32,48,28)s(16,16,12)c(48,16,12)++s(32,16,20)s(32,48,12)+*
t(24,32,28)t(24,40,28)s(40,24,20)+t(32,32,12)-*t(32,16,12)+
s(40,32,28)t(32,40,28)c(24,24,20)--s(32,24,12)-s(40,32,12)-
c(32,40,20)t(32,24,12)s(16,16,20)+s(40,32,12)+s(16,48,12)+*
s(40,40,28)c(40,40,20)c(24,40,20)c(48,16,12)+*-t(24,32,12)+
s(40,24,20)s(32,40,28)t(40,24,20)+s(40,24,28)-t(32,48,28)+-
s(24,40,20)c(40,24,20)-s(16,8,12)+s(48,48,20)s(32,40,20)+-
s(16,16,20)c(40,40,12)t(24,48,28)t(32,40,28)-s(32,16,20)++*
c(24,24,20)c(40,32,12)-c(24,24,12)s(40,32,12)++s(32,48,20)-
t(24,56,12)c(40,24,20)t(32,48,28)-+t(32,32,12)+s(32,16,20)-
t(32,40,12)s(24,24,20)+s(32,32,28)+s(32,16,12)-s(24,48,20)*
t(40,48,20)s(40,24,20)-s(16,24,20)+s(24,16,12)s(24,48,20)+*
t(32,48,20)s(24,24,28)c(40,24,20)*-t(40,32,20)+s(40,24,28)+
s(16,24,12)s(24,16,20)s(32,32,28)c(24,24,20)*t(24,32,12)-*+
s(32,16,20)c(40,24,12)s(8,40,12)+s(24,48,12)++s(24,40,20)*
s(32,40,28)s(48,40,20)t(40,24,12)--s(48,32,20)t(32,40,12)-+
t(32,40,20)t(24,40,20)s(40,16,12)++s(24,8,12)t(40,16,12)+-
c(48,16,12)t(32,48,12)+t(40,24,12)s(16,48,20)+-t(16,56,12)+
s(32,24,12)t(32,32,12)+s(16,24,20)s(32,16,20)-+s(32,40,20)+
s(24,16,20)s(32,24,20)*t(16,40,12)+c(24,48,12)-s(32,24,20)*
s(32,24,20)s(24,40,28)s(24,24,20)*s(8,32,12)s(48,8,12)+--
c(32,32,28)s(32,40,20)-c(40,40,20)s(24,32,12)s(32,48,12)+*+
s(48,40,12)t(24,40,28)+s(32,32,20)+s(48,16,20)-s(32,48,20)*
s(40,32,20)t(24,32,20)+s(40,24,20)s(24,40,28)s(40,32,20)-+*
s(16,16,20)c(32,24,20)c(40,40,12)+c(24,24,20)c(24,40,12)--+
s(8,24,12)s(16,32,12)s(40,32,20)s(48,16,20)-+t(24,48,20)-+
s(8,24,12)c(32,24,20)t(16,48,12)++s(48,24,20)s(40,32,20)*-
c(16,40,12)s(32,24,20)s(48,48,12)++c(24,40,20)*s(24,16,20)-
c(40,32,20)c(32,32,28)s(16,32,12)s(48,24,20)+-s(48,40,20)--
c(32,32,28)s(48,24,20)*s(32,48,20)-t(16,56,12)s(32,40,20)++
s(40,24,28)s(40,16,20)c(32,40,20)-s(16,24,20)s(24,32,28)*+*
s(24,8,12)s(48,40,12)+s(32,16,20)s(32,32,28)+*s(48,40,12)+
t(24,32,28)t(16,48,12)s(40,40,20)t(32,32,28)*c(32,32,12)++*
t(32,40,28)s(32,24,28)+s(24,24,20)c(32,32,28)s(16,32,20)--*
s(32,8,12)s(24,40,28)t(40,48,20)s(48,32,20)+*+s(8,40,12)+
c(24,24,20)c(24,32,20)t(32,32,28)c(48,24,12)c(40,32,12)+-**
s(40,24,20)s(24,32,28)+s(32,40,28)s(8,16,12)c(40,40,20)+*-
s(40,24,28)t(32,40,28)-t(16,48,12)s(16,24,20)+-s(40,24,20)*
s(32,32,20)c(24,24,20)c(16,32,12)c(32,40,20)+c(32,40,12)-*+
c(32,32,28)s(32,32,20)t(32,24,12)-s(32,16,20)+-s(48,32,20)-
c(40,32,20)t(40,48,20)s(16,32,20)c(32,40,20)-t(40,32,20)++-
s(32,24,28)c(24,16,12)-s(32,24,20)s(24,40,28)+t(32,32,28)*-
c(32,40,12)c(32,16,12)s(48,8,12)++t(24,32,28)+c(32,32,28)*
c(24,24,12)s(40,40,28)t(32,48,28)*+s(40,24,28)*t(24,40,12)+
c(24,24,12)t(40,40,12)t(24,48,20)++c(32,48,12)t(24,56,12)+*
s(24,48,20)s(16,40,20)-c(40,24,12)s(24,40,20)c(24,48,12)-++
s(16,40,20)c(24,32,20)s(16,16,20)s(32,40,28)-+s(8,32,12)--
t(40,48,20)c(16,48,12)+c(40,32,12)+c(24,32,20)s(32,32,20)+*
s(40,32,20)s(32,32,12)-t(32,56,12)s(40,24,20)s(48,16,20)*++
s(16,16,20)s(32,24,28)s(24,24,28)t(32,32,28)+s(48,40,12)-+*
s(40,24,20)s(48,48,20)+c(32,40,20)s(32,40,12)-s(16,32,20)+*
c(32,32,28)s(24,40,12)-s(40,48,20)-s(24,32,20)*t(16,16,12)-
s(16,24,20)s(8,32,12)-t(16,56,12)+c(24,40,20)+s(16,40,20)-
t(24,48,28)s(16,48,20)s(32,32,20)+*s(40,32,28)+s(40,24,20)-
t(48,32,12)s(24,40,20)+c(32,32,12)t(48,32,12)s(16,32,20)++*
t(40,40,20)s(40,24,28)t(32,40,28)--t(24,32,28)+c(40,32,20)-
c(24,40,20)s(16,48,20)t(48,40,12)t(32,40,28)+t(32,48,28)-+*
s(48,48,20)c(48,32,12)c(32,40,20)t(48,48,12)-s(8,8,12)++-
c(40,40,20)s(24,48,20)*c(40,16,12)+s(32,40,12)s(8,8,12)++
t(24,48,28)c(40,24,12)+t(32,48,20)-s(32,16,20)s(24,32,20)+-
t(32,48,20)s(32,48,20)c(32,32,12)s(40,24,20)c(32,40,20)-+-*
s(24,40,28)s(40,24,12)-t(32,40,28)s(48,40,20)+c(32,32,20)*-
t(32,32,28)s(32,32,20)s(32,16,20)+t(32,40,12)-s(40,16,20)--
s(16,48,20)s(48,8,12)+t(32,40,28)-t(32,48,20)+t(32,48,12)-
c(32,40,12)c(24,48,12)+s(40,24,28)+s(24,40,28)s(32,32,28)**
s(32,40,28)s(24,48,20)c(32,24,20)c(24,32,20)*-s(24,40,28)**
c(32,24,20)t(24,24,20)-c(40,48,12)s(40,16,12)+s(48,16,20)+*
s(24,8,12)s(32,16,12)+s(48,32,20)+s(32,40,12)s(24,24,12)++
s(24,16,20)t(48,24,12)s(16,24,20)s(24,40,28)*+c(32,24,12)+*
t(32,40,20)s(24,24,28)t(24,24,20)-s(32,24,28)c(48,40,12)+*+
t(24,32,28)c(16,40,12)s(32,24,20)+*s(40,40,20)s(40,24,28)+*
c(32,32,20)s(16,40,20)-s(24,32,20)+s(40,16,20)*s(8,48,12)+
t(32,56,12)s(32,24,28)s(40,40,20)-c(16,24,12)-t(40,16,12)-+
s(40,16,20)s(24,16,20)c(32,48,12)+-t(32,24,20)t(40,16,12)--
s(40,32,28)s(24,40,28)t(24,48,20)-c(40,24,20)+s(24,24,28)-*
s(32,40,20)s(24,40,20)c(32,40,20)*s(24,24,28)**s(8,8,12)+
s(32,24,20)s(40,24,28)s(24,40,28)s(40,48,20)*-s(24,16,20)+*
s(40,40,28)s(16,32,20)-s(8,24,12)c(40,16,12)+s(40,16,20)*-
s(8,16,12)s(40,48,20)s(16,16,20)s(40,48,12)+-s(32,32,12)-+
s(32,40,28)c(16,40,12)-c(40,32,20)c(24,32,20)s(48,16,20)-*-
s(40,48,20)c(32,32,28)s(32,48,20)*+s(32,16,20)s(24,24,20)+-
t(32,48,20)s(48,24,20)+c(40,24,20)t(24,32,28)*-s(48,40,20)*
s(48,32,20)t(24,48,28)+s(40,48,20)s(32,40,28)*t(24,48,12)+-
s(16,8,12)c(40,24,20)s(8,16,12)++s(8,8,12)c(40,40,20)+-
c(32,40,20)c(40,32,20)c(24,40,12)-c(40,24,20)**s(24,48,12)+
s(24,32,20)t(32,24,20)s(48,16,20)c(40,40,12)++-t(16,56,12)+
c(40,24,20)s(48,16,20)*c(24,40,20)t(40,40,20)-+c(32,40,20)*
c(32,16,12)c(32,24,20)c(24,16,12)t(32,56,12)s(48,40,12)++-+
s(24,24,28)s(16,32,12)t(24,56,12)c(24,32,12)++s(48,40,12)+*
s(32,40,28)c(24,40,20)-s(32,24,20)+c(32,24,20)*s(24,40,20)-
s(32,32,20)c(16,32,12)t(16,48,12)+-c(24,32,20)*s(40,16,12)-
t(24,24,20)c(24,40,12)+s(32,32,20)c(40,40,12)+c(24,32,20)**
t(32,32,28)s(48,48,20)s(40,40,20)*c(24,32,12)t(24,48,28)++*
s(48,24,20)s(24,24,28)s(16,24,20)s(40,8,12)+c(48,16,12)++*
t(32,32,28)c(40,40,12)c(32,40,12)+s(32,16,20)+t(24,32,28)*-
t(24,32,20)s(48,8,12)t(32,40,12)+s(24,32,20)+c(24,40,20)**
c(32,40,12)s(32,40,20)t(32,48,20)-+s(48,32,12)+c(48,48,12)-
s(32,32,20)t(32,32,28)t(40,40,20)+s(16,32,20)*t(32,40,12)+*
s(40,48,20)c(32,32,28)*c(32,16,12)+t(40,40,12)-s(24,32,28)+
c(16,16,12)c(24,40,12)+s(24,24,28)*t(40,16,12)s(16,40,12)+-
t(48,40,12)c(16,24,12)+t(24,32,20)+c(32,32,20)c(16,40,12)-*
s(32,32,20)s(24,48,20)t(32,48,28)*+c(32,32,28)s(16,48,12)-*
t(24,40,28)t(32,32,28)c(48,32,12)-t(32,24,20)s(48,8,12)+*-
s(48,24,20)s(48,24,12)t(32,40,12)c(24,48,12)++-t(24,32,12)+
t(24,48,20)s(48,32,20)c(32,32,20)++s(24,24,12)t(32,32,20)+-
c(32,24,20)t(40,24,12)s(24,32,20)t(48,24,12)+s(24,16,20)*+-
s(16,48,12)c(24,40,20)t(40,24,20)c(24,16,12)-t(32,48,28)+*+
c(32,40,20)c(24,32,20)c(32,32,20)*+t(16,56,12)+s(40,16,20)-
s(24,32,20)s(48,32,20)c(24,40,20)+*c(24,32,20)s(16,40,12)-*
c(24,24,20)s(24,16,20)*s(32,16,20)*s(32,32,28)t(48,40,12)-*
s(32,32,28)c(16,40,12)t(24,48,20)+-s(24,24,20)t(24,32,12)-*
s(40,16,12)s(40,40,20)+c(32,24,20)*s(32,24,20)*c(48,40,12)-
s(48,8,12)c(48,48,12)+s(24,16,20)t(24,32,20)+s(40,32,28)*+
c(24,32,12)c(32,24,20)s(32,24,28)s(40,24,28)*t(48,40,12)-*+
c(24,24,20)s(40,32,20)t(40,48,12)+c(32,40,12)c(32,24,12)+**
s(32,32,28)s(24,24,12)-t(40,16,12)t(24,32,20)+s(32,40,28)*+
s(16,40,20)c(40,32,20)+s(16,48,20)-s(16,40,20)c(24,24,20)-+
c(48,24,12)t(16,48,12)+s(40,48,20)+s(40,40,28)t(32,32,28)-*
t(32,40,20)t(32,32,20)+t(16,24,12)c(40,24,12)+s(48,40,20)--
s(24,32,28)s(16,24,20)-s(32,48,20)s(24,32,28)t(40,24,20)-*-
s(24,48,20)t(40,48,12)s(40,24,20)t(24,32,12)-+-s(32,48,20)*
t(40,48,20)s(32,32,28)s(40,32,28)*c(48,16,12)t(24,16,12)+++
t(24,32,28)s(32,16,20)t(32,32,28)s(48,32,20)c(32,32,20)**--
s(32,32,12)t(32,48,28)s(40,32,28)*+s(32,40,28)t(40,24,20)-+
c(24,40,20)s(24,32,28)s(24,16,12)-s(40,40,28)s(24,40,20)*-*
t(48,32,12)s(24,24,20)+s(24,40,28)s(24,16,20)s(16,40,12)+--
s(40,32,28)t(16,32,12)s(32,32,12)+-t(32,40,28)-s(48,48,20)-
s(48,40,20)s(48,48,12)-t(32,40,28)s(32,32,12)-s(32,40,28)*-
s(24,24,28)s(48,40,20)c(24,24,20)+c(24,40,20)*-t(40,32,20)-
t(16,56,12)t(40,40,20)+s(40,40,28)c(24,32,20)*s(24,40,12)--
s(40,40,28)c(24,24,20)*c(40,16,12)-s(32,40,12)+c(16,48,12)-
t(24,48,28)t(24,40,28)c(32,40,20)t(32,32,20)-*s(40,40,20)+*
s(48,32,20)c(16,40,12)t(32,24,20)+c(24,40,12)-+t(40,24,20)*
t(24,48,28)s(16,48,20)*t(24,48,20)*s(32,32,20)c(32,48,12)-+
c(40,40,12)t(32,48,20)s(8,8,12)+c(32,40,12)+s(24,24,28)-+
s(40,16,20)s(16,32,12)c(48,16,12)c(48,48,12)++s(32,24,20)-+
s(40,24,28)s(24,32,28)*s(24,32,28)c(40,48,12)c(32,40,12)+-*
s(32,40,12)t(32,40,28)t(40,32,20)-s(24,40,28)s(40,24,28)*-+
s(24,40,20)c(24,32,20)*s(32,40,28)s(32,32,28)*t(24,24,12)-*
s(8,32,12)s(32,32,28)s(40,24,20)*+s(48,48,20)-s(8,40,12)+
s(40,40,20)s(16,16,12)+c(24,40,20)s(32,48,20)*-s(48,40,20)*
s(24,40,20)s(32,24,20)+s(32,40,28)s(32,32,28)t(16,56,12)++*
s(24,40,28)s(32,32,28)*s(24,40,28)s(40,32,20)*s(40,32,12)+-
t(32,48,28)s(48,48,12)+s(48,40,20)*s(32,16,12)+c(40,40,20)*
s(32,32,28)s(24,40,12)-s(40,32,20)*s(48,16,20)+s(32,32,12)-
s(48,24,20)s(32,24,20)t(32,40,20)t(32,24,12)--c(40,24,20)*-
s(40,24,28)s(24,48,20)t(24,48,12)s(40,32,12)c(24,24,20)++-+
s(40,48,12)t(24,40,20)c(16,24,12)s(16,40,12)++c(32,32,20)*+
c(16,48,12)t(32,32,28)c(16,40,12)-s(40,24,20)c(40,40,20)*-+
s(40,48,20)s(40,24,20)-s(32,40,12)-t(32,48,28)s(24,40,20)*-
c(40,32,20)s(24,40,20)t(32,40,28)s(24,40,28)*+*c(48,48,12)-
t(24,40,12)c(16,48,12)+c(40,40,12)+t(40,32,20)-t(16,48,12)-
s(32,24,28)c(40,40,20)s(24,32,28)--s(40,40,28)s(8,8,12)+*
t(32,40,28)c(32,32,20)c(24,24,20)c(32,24,20)+*s(16,24,12)-*
t(16,16,12)s(32,32,20)s(8,8,12)+t(32,24,12)-s(24,48,20)-+
c(40,32,12)t(24,48,28)s(32,32,28)s(24,32,28)*c(24,40,20)**+
s(48,16,20)c(40,48,12)+s(32,24,28)-t(32,48,28)c(24,40,12)--
c(24,32,20)t(24,40,12)-t(40,40,12)-t(24,48,20)+t(16,40,12)-
s(40,24,28)s(40,40,12)s(40,16,20)c(32,24,12)-+*s(40,16,20)*
c(32,40,20)s(40,32,20)t(40,24,20)-s(24,40,20)+*s(24,40,28)*
s(40,40,28)c(40,16,12)+s(48,48,20)*s(40,24,28)t(24,32,12)--
c(40,40,20)t(40,24,12)-c(40,32,12)s(32,8,12)++s(32,16,20)*
s(32,40,20)s(48,32,12)-t(32,40,28)s(32,24,20)*s(16,24,12)+-
s(24,24,28)s(48,40,20)-t(32,32,20)-c(40,40,20)c(32,24,20)+*
t(40,32,20)s(8,48,12)+s(16,40,12)+s(32,24,28)s(32,40,20)+*
s(40,48,20)s(48,24,20)s(32,32,28)c(32,40,20)*+s(24,48,20)*-
s(40,16,20)c(48,32,12)t(32,24,12)++t(24,56,12)s(40,32,20)++
s(24,40,28)t(24,32,28)*t(32,32,20)*s(40,8,12)+c(40,32,20)*
c(32,40,20)s(16,48,12)+c(32,40,20)s(24,40,12)-s(24,24,28)+*
s(24,8,12)t(16,48,12)c(24,24,12)c(32,24,12)+++s(24,32,12)-
t(32,40,28)s(16,24,20)t(24,32,28)+-c(40,40,12)t(16,32,12)++
s(24,48,20)t(40,48,20)t(24,32,28)+c(32,40,12)-s(16,48,12)+*
c(32,24,20)t(32,48,12)s(40,16,20)t(48,56,12)+s(32,40,28)-+-
c(24,48,12)s(16,24,20)+c(40,40,20)s(24,24,28)*s(32,24,12)+-
t(32,48,20)t(24,48,12)-c(24,48,12)+t(32,40,12)s(24,16,12)+-
s(24,24,20)t(24,32,28)s(24,40,12)c(40,32,20)+c(48,32,12)-+*
c(32,40,20)s(24,32,28)t(24,48,20)-s(32,8,12)+-s(40,32,12)+
c(24,32,20)s(24,32,28)s(16,16,12)-*t(32,32,28)s(40,32,20)**
s(24,40,28)s(32,24,20)c(40,32,20)+c(32,40,20)*-s(48,40,12)+
c(48,16,12)s(32,48,20)s(24,48,20)t(32,56,12)-*+c(24,40,20)*
t(40,32,20)c(40,40,20)s(40,24,28)-c(32,32,28)*+s(32,40,12)-
t(32,40,12)s(16,16,20)+s(40,32,12)s(48,32,12)+s(32,8,12)+-
t(24,40,20)t(16,32,12)+t(40,32,12)+s(16,16,12)+s(48,16,12)+
t(24,40,28)t(48,56,12)t(32,32,20)+t(40,48,12)+*c(16,40,12)+
s(40,24,20)s(32,24,20)*s(48,48,20)c(40,32,20)*-s(24,24,12)-
c(40,24,20)t(32,24,12)-s(32,16,12)+s(40,24,12)-c(48,40,12)-
t(24,48,28)s(32,40,28)*s(48,24,20)t(32,56,12)t(32,40,12)++-
c(32,32,28)s(48,32,12)-c(40,24,20)*s(40,32,28)*s(40,16,12)-
t(24,24,20)s(32,40,28)s(24,24,28)s(48,32,20)+s(8,24,12)---
s(48,48,20)t(48,24,12)s(32,40,20)+c(24,24,20)+t(24,48,28)--
s(32,16,20)c(32,48,12)t(48,56,12)++t(32,16,12)c(40,24,12)+*
s(40,24,20)s(32,32,28)+s(8,24,12)t(40,48,12)+c(16,16,12)+*
s(48,32,12)s(24,48,12)+c(40,32,12)-c(32,40,12)+c(16,40,12)-
t(32,32,20)s(40,16,20)s(40,24,12)c(24,40,12)+-s(40,48,12)+-
s(48,16,20)t(16,24,12)+c(40,40,20)-c(24,32,12)t(32,24,12)+-
s(24,32,28)s(16,24,12)s(32,16,20)s(40,24,28)t(24,32,20)-*+*
c(40,32,20)c(40,16,12)s(32,24,20)s(8,40,12)+c(40,32,20)*+-
s(24,24,28)s(32,40,28)t(32,16,12)s(8,48,12)s(48,32,20)++-*
s(40,16,20)c(32,24,20)*t(24,40,28)-c(48,16,12)c(48,40,12)++
c(40,40,20)c(24,32,20)t(48,16,12)t(24,24,12)+-s(40,32,28)**
s(40,32,20)s(8,8,12)+c(24,32,20)c(40,16,12)--s(8,16,12)-
t(32,48,28)c(48,16,12)s(16,8,12)++s(24,40,28)*s(24,40,20)*
s(40,48,20)c(32,24,20)t(16,32,12)c(48,24,12)+*s(48,40,12)+-
s(24,24,12)s(48,48,12)+c(48,16,12)+c(32,24,20)*t(40,40,12)+
t(24,32,28)s(32,24,28)t(40,40,12)t(48,16,12)+t(24,24,20)+**
s(24,32,28)c(40,32,20)s(48,24,20)*t(32,32,12)-c(32,24,20)+*
s(16,24,12)t(32,32,28)s(24,40,20)t(32,24,20)+*s(16,40,12)-+
c(40,48,12)t(32,32,28)t(16,40,12)-+c(40,40,20)*c(32,32,20)*
c(40,40,20)s(32,40,12)-t(24,40,28)t(32,40,28)*t(40,40,20)-+
c(48,40,12)s(32,40,12)+s(24,40,20)t(16,48,12)-s(32,16,20)--
c(40,40,20)s(40,16,20)t(32,32,20)-s(40,48,20)s(32,32,20)-+-
s(40,32,28)t(32,56,12)+s(40,48,12)-c(40,40,20)*c(32,32,12)-
s(24,40,28)c(32,32,28)t(32,48,20)-c(40,40,20)-*s(16,32,20)*
s(48,32,12)s(32,48,20)s(8,32,12)+s(48,40,20)-+s(48,24,20)-
s(24,24,28)c(32,32,20)*s(16,40,20)s(24,40,20)c(40,24,20)-*-
s(40,32,20)c(24,32,20)c(16,16,12)-c(32,16,12)--t(24,32,12)+
s(16,16,20)t(24,48,28)+s(40,40,28)*s(32,48,20)s(32,32,20)-+
s(32,40,28)s(16,48,20)t(32,40,28)-t(24,24,12)+-t(16,24,12)+
s(48,48,20)s(32,16,20)s(40,16,20)s(40,32,28)+s(24,16,12)-*+
c(32,32,20)c(32,40,20)s(24,48,12)-s(16,32,12)c(48,40,12)++*
s(24,40,20)s(48,16,20)t(40,32,20)+s(48,32,12)--s(32,32,20)+
t(32,48,20)s(40,24,20)s(40,16,20)*s(40,8,12)-+c(24,24,20)*
t(32,32,12)s(16,32,12)+s(24,40,20)s(48,32,20)-c(24,24,12)+*
c(32,32,20)s(32,24,28)*t(24,24,20)c(24,16,12)+t(40,32,20)--
c(32,16,12)s(48,32,20)c(32,32,28)c(32,40,12)-*s(48,24,20)++
c(32,32,20)t(24,40,28)t(32,48,28)**c(24,24,20)t(40,40,20)-+
c(32,40,20)s(48,40,12)s(16,48,12)+s(16,24,20)+c(40,40,12)+*
c(32,32,28)c(24,32,12)-s(40,32,20)-s(24,40,28)*t(24,32,28)-
s(24,32,28)s(24,48,12)-s(16,48,20)c(32,40,20)+s(24,24,28)*-
t(32,48,28)c(32,40,20)t(32,24,12)-s(16,24,20)-s(32,48,12)-+
t(40,32,20)s(32,40,28)t(40,48,20)-+t(48,16,12)t(24,24,20)+*
s(40,24,20)s(32,24,28)t(24,16,12)-s(40,48,20)-s(24,24,20)*+
t(16,48,12)s(40,32,28)+s(8,8,12)s(32,32,28)++c(24,32,20)*
s(8,48,12)c(32,40,20)c(40,32,20)+c(32,24,12)-+s(48,32,12)-
s(48,32,20)t(16,56,12)s(40,40,28)t(40,24,20)-s(16,40,20)-+*
t(24,48,20)t(24,24,12)t(48,48,12)++s(40,32,28)t(24,48,20)+*
s(32,48,20)s(16,32,12)s(32,40,20)+s(40,32,20)-+t(24,48,20)*
s(32,24,28)s(48,40,20)s(40,48,12)--s(32,32,28)t(24,32,28)*-
s(24,32,28)s(40,32,28)s(24,40,20)*s(32,32,12)+s(24,48,12)--
c(40,24,12)s(32,32,28)s(24,24,28)-s(40,40,20)s(48,48,20)*++
c(48,24,12)t(32,48,28)s(24,32,28)s(32,24,12)-s(16,16,12)-*+
s(24,24,28)s(32,40,20)t(24,48,28)*+s(40,24,20)s(32,16,20)**
s(24,40,28)c(40,40,20)*s(32,24,12)+c(32,32,20)s(48,40,20)-*
t(24,40,28)t(40,40,20)t(48,32,12)-c(32,40,12)+-t(40,48,20)-
c(32,32,20)t(48,32,12)-s(24,32,28)c(40,48,12)-*s(16,24,12)-
c(24,24,12)s(8,16,12)+s(40,32,20)s(24,32,20)t(32,32,20)*+-
t(24,48,20)s(8,8,12)c(24,24,20)+t(40,40,20)-s(32,24,20)*-
c(32,32,28)c(24,16,12)-s(24,24,20)c(48,48,12)+s(24,32,20)*-
s(16,40,20)t(32,48,28)s(48,8,12)+-s(32,32,28)+s(40,48,20)*
s(24,48,20)s(16,40,20)s(16,24,20)*+s(40,40,20)t(24,40,12)--
c(32,24,20)s(40,40,20)-s(24,40,12)s(8,48,12)+s(32,16,12)++
s(32,40,28)s(24,32,28)*s(24,40,20)t(24,32,28)c(24,24,20)**-
s(32,24,20)s(24,24,28)s(16,24,20)s(24,32,12)--t(40,32,12)-*
s(48,8,12)s(24,40,20)s(8,32,12)-c(32,40,20)*s(40,40,20)*+
c(40,24,20)s(16,24,12)t(24,48,28)+s(48,32,12)t(24,40,20)+*+
c(40,16,12)c(24,24,20)s(40,32,20)s(16,8,12)+*+c(48,16,12)-
c(32,40,20)s(24,32,20)s(40,40,12)--s(32,16,20)s(24,32,28)*+
t(32,48,28)t(24,48,28)s(32,24,20)s(40,16,12)-+*s(40,40,28)*
t(24,56,12)t(40,40,20)+s(24,48,20)+t(32,32,28)c(40,40,20)+*
c(40,32,12)c(32,16,12)+s(16,32,20)t(24,32,28)t(48,24,12)+*-
t(40,40,20)c(40,40,12)s(32,32,28)s(24,48,12)s(24,24,20)+-+*
s(32,24,28)t(32,40,28)c(32,24,12)-c(32,40,20)*-s(40,24,28)*
c(24,32,20)t(16,40,12)s(48,24,20)+c(24,32,20)s(32,24,12)---
s(40,48,20)t(24,32,28)c(32,32,28)c(16,16,12)-*s(48,40,12)--
c(32,48,12)c(40,24,20)t(48,56,12)t(40,48,12)+t(24,24,12)+++
s(24,40,12)s(48,48,12)+s(16,8,12)c(24,40,12)+c(32,24,20)--
s(40,24,28)c(48,48,12)c(32,32,12)+s(24,24,28)c(32,24,20)**-
t(32,32,28)s(16,32,20)*s(24,24,20)t(32,16,12)-s(32,48,20)-+
s(32,40,20)c(40,32,20)s(32,40,20)*t(40,32,20)+t(40,48,12)-+
s(8,40,12)t(48,40,12)+s(40,24,20)s(48,16,20)--c(32,16,12)+
s(16,40,20)c(32,32,20)-s(40,16,20)t(24,40,28)-+s(16,8,12)+
s(16,40,20)s(32,40,28)t(16,16,12)s(32,40,28)s(40,24,12)-+**
c(32,24,20)s(24,16,20)-s(40,40,20)+t(16,32,12)t(24,48,28)+-
s(48,16,20)t(16,16,12)c(40,32,12)+t(24,32,20)-c(40,48,12)+-
s(40,16,20)s(40,8,12)s(48,32,20)s(24,24,20)++s(48,40,20)*+
s(24,48,20)t(32,40,28)t(40,48,12)-t(24,40,28)t(16,32,12)-**
s(32,40,20)c(32,32,28)s(48,48,20)-t(40,24,12)-*t(40,40,20)+
t(24,32,28)s(40,40,20)-s(48,40,20)s(48,48,20)s(24,40,20)+*+
s(24,40,28)t(32,40,20)-c(32,40,20)t(32,48,28)*s(40,24,28)--
c(16,40,12)s(40,16,20)t(40,56,12)t(32,16,12)++c(40,32,20)-+
s(16,24,20)s(24,32,20)c(32,24,20)c(40,32,20)*--s(40,40,28)-
s(48,32,20)t(40,16,12)s(24,16,12)+-s(40,32,28)t(24,24,12)-*
c(32,24,20)s(40,24,28)*s(16,24,20)+s(32,24,28)t(40,24,12)-*
s(24,24,20)s(16,48,20)c(24,24,20)s(8,16,12)-+c(32,40,20)--
c(32,24,20)c(32,24,12)-c(32,32,12)-c(24,40,12)+t(48,24,12)-
s(40,24,28)s(32,32,20)+s(8,32,12)+c(48,16,12)c(16,32,12)+-
c(32,32,20)c(24,24,12)s(40,32,12)s(24,48,12)++t(40,48,20)-*
c(32,32,20)t(32,24,12)-t(16,48,12)t(24,48,20)+-s(40,32,28)*
s(32,40,28)s(16,32,20)t(24,56,12)+*c(32,40,20)*s(16,16,12)+
t(32,40,28)s(32,24,28)*s(40,32,12)+c(40,32,20)s(40,40,20)--
t(32,32,28)s(48,16,12)+s(32,32,20)s(24,16,20)s(24,32,20)+*-
t(32,48,28)s(32,40,20)*t(40,56,12)+c(24,32,20)s(16,40,20)*+
s(40,8,12)t(24,40,28)+c(32,40,20)t(16,32,12)s(24,16,12)+-*
t(32,48,20)t(24,40,28)s(40,32,28)c(48,32,12)s(32,16,20)+-*+
c(32,32,20)s(16,48,20)s(16,32,20)-s(8,48,12)c(40,24,12)++*
s(40,16,20)t(24,32,28)-t(40,24,20)+c(40,40,20)c(40,24,12)++
t(24,32,20)t(16,40,12)+s(24,48,20)+t(40,32,12)t(24,40,28)+*
t(40,56,12)c(32,32,28)s(32,40,28)-+s(16,16,12)+s(24,24,20)*
t(40,24,12)t(24,24,12)s(32,40,20)s(32,16,20)-+t(40,24,20)-+
t(32,40,12)s(24,24,12)s(40,40,12)+t(32,48,20)-s(40,24,12)++
s(40,40,20)s(32,16,20)c(24,24,20)c(32,24,20)+s(16,40,20)-*-
t(32,24,12)c(40,48,12)+s(16,48,20)c(24,32,12)+c(32,32,20)*-
c(16,32,12)s(16,48,20)+t(16,32,12)-s(24,40,20)s(48,16,20)+*
t(24,24,12)s(24,48,20)c(16,40,12)-+s(40,32,28)s(40,24,20)--
s(8,48,12)s(32,32,12)+t(40,40,20)t(40,48,12)-+s(40,16,12)+
s(16,48,20)c(24,32,20)+s(40,48,20)t(24,40,28)t(24,40,12)---
c(16,32,12)t(32,32,28)s(48,32,20)t(40,24,12)t(32,40,20)+--+
s(48,40,20)t(32,16,12)+s(48,40,20)c(40,40,20)t(48,40,12)-*-
t(48,40,12)s(8,32,12)+s(40,40,28)+s(24,24,28)s(40,40,20)+*
c(32,24,20)t(40,16,12)-s(40,24,28)*c(32,24,20)s(32,40,28)**
t(32,40,28)s(32,32,12)t(32,24,12)+c(16,32,12)+*c(32,48,12)+
s(16,32,20)s(24,24,28)+s(32,32,12)-t(16,24,12)-c(32,32,20)*
s(24,40,28)t(24,24,20)c(24,40,12)+*c(16,24,12)c(16,48,12)+*
s(32,48,20)c(40,24,20)+s(32,24,20)s(32,40,28)*-s(32,48,20)*
t(40,24,20)s(24,40,20)-s(32,24,20)+c(40,40,20)+c(24,48,12)-
s(48,32,20)s(40,48,12)s(24,24,28)+-c(32,24,12)+t(16,48,12)+
t(32,48,28)s(16,16,12)+c(32,32,28)t(40,24,20)s(24,48,20)+-*
t(32,48,20)s(40,40,28)c(32,24,20)*t(48,32,12)+s(48,32,12)--
t(32,32,28)t(24,40,20)s(40,16,20)+*s(32,32,28)s(16,40,12)-*
c(24,32,12)s(16,48,20)s(40,24,12)+s(48,40,20)-+c(40,24,20)*
t(32,48,28)s(24,48,20)c(16,48,12)-s(24,24,20)++t(16,56,12)-
c(24,32,20)s(48,40,20)t(24,32,28)t(40,48,20)+s(32,40,20)*-+
t(32,32,20)s(8,32,12)+s(32,16,20)c(48,16,12)--s(32,32,28)+
c(16,16,12)s(24,32,20)+s(32,32,28)*t(32,48,20)-c(40,40,12)+
t(32,32,28)c(40,16,12)c(32,40,20)+c(24,40,20)**s(24,24,12)-
s(48,24,20)s(48,40,12)t(24,40,28)+-t(32,32,28)-s(24,40,28)+
s(16,24,20)t(40,40,20)+c(32,40,20)s(32,32,28)*t(24,40,28)**
t(32,48,28)s(16,32,20)s(32,40,28)*+s(16,48,20)c(32,40,20)+*
c(32,32,20)s(40,40,20)+s(24,32,28)c(40,32,12)-*t(24,24,20)-
s(24,40,28)c(32,32,28)*s(24,24,28)s(8,32,12)-+t(32,32,28)*
s(40,16,20)c(32,32,20)-t(48,56,12)+s(32,32,28)c(24,24,20)--
c(24,40,20)s(40,24,20)t(16,40,12)c(48,48,12)++s(32,16,12)--
t(24,32,20)c(24,40,20)s(40,40,20)s(32,16,12)s(48,48,20)+*-*
s(40,24,28)s(40,32,28)s(40,24,28)*s(24,24,28)--s(32,24,20)*
c(48,40,12)t(32,32,28)c(32,24,20)*+c(16,32,12)-c(24,32,20)*
s(8,24,12)s(40,32,28)+s(32,32,28)c(24,40,20)**s(24,40,12)+
s(32,16,12)t(32,16,12)s(16,16,20)s(8,16,12)-+t(32,40,28)-+
c(40,40,20)c(32,40,20)s(40,16,20)-s(40,48,20)*-t(24,32,12)-
c(32,40,20)t(32,24,20)t(40,56,12)t(40,40,20)++s(40,32,12)-*
s(24,40,20)s(32,48,20)+s(24,32,28)s(40,32,20)t(40,16,12)-+*
c(24,40,20)s(40,24,28)t(40,32,12)-t(24,24,20)+s(40,32,28)*-
s(32,16,20)c(32,24,20)t(32,40,12)-s(40,32,20)s(48,40,12)-++
t(24,40,28)s(32,40,28)s(16,24,20)-*t(32,48,28)s(32,32,28)--
c(32,32,20)t(32,24,20)-t(32,16,12)+s(40,40,28)s(48,24,12)-*
t(32,48,28)c(32,32,20)c(24,24,20)t(24,56,12)+*s(16,48,20)-+
c(32,32,28)s(32,32,20)c(32,16,12)--c(24,24,12)-s(24,24,28)*
c(40,24,20)s(24,32,20)t(24,48,28)-s(24,48,20)+-s(40,32,20)*
t(32,32,20)s(48,24,20)c(40,40,20)t(40,48,20)--+s(24,40,12)-
s(48,16,20)s(32,24,20)+s(48,24,20)c(32,24,20)c(40,32,20)*+*
t(24,48,28)t(32,32,28)t(24,40,28)t(16,48,12)-*t(24,24,20)+-
t(40,48,20)s(24,40,28)c(40,40,20)s(40,24,20)*t(16,24,12)+*-
s(16,16,20)s(40,8,12)+c(40,40,20)t(24,40,28)*s(40,16,20)+-
s(32,24,28)s(40,32,28)s(32,32,20)s(48,24,20)--c(32,40,20)--
s(32,32,28)s(40,32,20)s(24,48,20)--t(16,24,12)-s(16,48,12)-
c(32,32,20)t(32,40,28)+s(40,32,20)t(16,16,12)s(32,40,20)+*-
c(32,32,20)c(24,32,12)-s(16,40,20)c(24,32,20)+s(40,40,20)*+
s(24,24,28)s(8,48,12)s(16,16,20)++s(40,40,20)-c(32,32,20)*
s(24,40,28)s(32,48,20)*t(40,24,20)+s(24,24,28)+s(40,40,20)*
s(40,40,12)s(24,32,20)t(32,56,12)t(24,32,20)+s(32,48,12)-*+
s(40,24,20)s(16,40,20)c(24,24,20)t(40,32,12)s(16,24,12)+*+-
c(40,24,12)s(40,40,12)+s(48,48,20)c(24,40,20)c(40,48,12)+*+
s(40,40,20)s(16,16,12)s(32,32,20)c(16,40,12)-+*t(48,16,12)+
c(32,16,12)c(32,32,20)+c(32,40,12)-t(24,40,20)-s(24,32,28)+
s(16,40,20)s(24,48,20)t(40,56,12)c(48,48,12)t(32,16,12)++-*
c(16,40,12)t(32,40,28)+t(24,40,12)t(16,40,12)+-t(32,48,28)*
s(40,16,20)s(40,24,28)s(24,32,28)s(48,16,12)+**t(32,48,28)+
c(24,24,12)t(32,48,28)+s(32,32,28)*s(40,32,28)s(24,24,28)**
s(32,16,20)t(32,40,12)+c(48,16,12)-s(24,32,28)+c(24,40,20)*
t(40,40,20)s(48,16,12)s(16,40,12)s(24,32,12)+++t(48,16,12)-
s(32,32,12)t(40,32,20)+t(48,40,12)t(32,24,20)+*t(16,40,12)+
s(8,32,12)t(24,40,20)s(24,24,12)-+t(40,48,20)s(40,24,20)--
s(40,24,20)c(24,40,20)s(32,40,28)s(48,40,12)c(24,32,12)+**+
c(32,24,20)t(40,16,12)-s(32,32,20)s(40,24,28)**c(24,24,20)*
s(24,40,12)s(24,40,28)s(40,40,12)-s(16,40,20)-+s(32,24,28)*
s(32,48,20)s(24,48,20)*c(32,24,20)c(24,40,20)*c(40,32,20)*-
s(40,40,28)s(24,40,28)c(24,24,12)s(40,24,20)+s(32,32,20)*--
c(40,24,20)t(32,40,20)s(40,24,20)t(40,32,12)--+s(40,24,20)-
s(40,32,20)t(16,24,12)+s(32,16,20)+c(40,32,20)c(40,32,12)-*
s(24,48,20)c(40,40,20)c(32,24,12)t(24,32,20)+t(32,32,20)*++
s(24,48,12)s(16,48,20)s(24,32,28)*+c(24,24,20)+s(40,24,28)-
s(32,24,20)t(24,48,28)s(40,32,28)t(16,48,12)c(40,40,20)+-+*
s(32,32,20)s(32,8,12)+s(24,40,28)+s(24,24,28)-t(24,48,20)*
s(40,32,28)s(40,48,20)t(32,32,20)--s(32,40,20)+s(48,24,20)*
c(16,40,12)c(32,40,20)s(48,32,20)-c(32,40,12)++c(40,40,20)-
t(32,40,12)t(48,16,12)s(32,16,20)s(32,24,12)-++c(32,24,12)+
c(24,24,20)s(24,32,28)+c(40,24,20)-s(40,24,20)s(40,40,12)-+
c(24,40,20)c(32,24,20)s(24,32,20)t(24,16,12)++c(24,16,12)-+
s(24,32,28)c(16,48,12)-t(24,40,20)-s(24,40,20)s(32,32,20)*+
t(40,48,20)t(32,40,20)s(24,40,20)s(32,24,20)t(32,32,12)--*-
s(32,40,28)s(40,32,20)s(24,40,20)t(24,48,20)*t(40,24,20)+*-
s(48,32,20)t(32,32,28)-s(40,40,20)s(8,24,12)+s(32,24,12)++
s(40,32,28)s(32,24,28)s(16,24,20)t(48,56,12)+--s(24,16,12)+
s(40,40,28)s(32,48,20)-c(32,16,12)-s(40,16,12)s(32,32,12)++
s(24,48,12)s(32,24,28)+s(32,40,20)*t(40,24,20)t(24,32,20)-+
s(24,24,28)c(32,24,20)c(24,40,20)*s(24,32,20)*-c(48,16,12)-
s(24,24,20)s(32,8,12)-s(8,32,12)-c(32,16,12)+t(24,32,20)-
s(24,32,28)c(40,48,12)-c(48,48,12)+s(24,24,28)s(24,24,20)-*
t(24,40,28)t(24,24,12)s(24,48,12)c(48,16,12)+s(40,16,12)-+-
c(32,32,20)s(48,24,20)-c(24,40,20)s(16,48,12)-t(24,48,20)+*
t(32,40,28)s(24,24,12)-s(40,40,28)s(32,8,12)+*s(48,40,12)-
s(40,40,20)c(24,24,20)-t(24,40,28)c(40,32,20)c(40,24,12)-*-
t(24,40,28)c(40,24,20)-s(32,48,20)t(32,48,28)c(48,48,12)-*-
s(48,24,12)s(24,32,12)s(48,8,12)+s(24,40,12)-+s(40,24,20)*
c(16,16,12)t(24,16,12)+t(32,16,12)+t(24,56,12)+t(32,40,28)+
c(24,24,20)s(24,16,20)s(32,40,28)t(32,32,28)c(24,24,20)**+*
s(48,48,12)t(32,32,28)s(48,32,20)*+t(24,40,12)+t(24,24,20)-
s(16,24,20)c(32,24,20)c(40,24,12)-+s(24,40,28)+s(32,32,28)*
s(16,48,20)c(32,32,20)c(32,32,12)-s(40,40,28)s(40,8,12)+++
c(24,40,12)s(40,32,28)c(40,32,12)-+s(24,40,20)s(16,32,20)--
s(16,16,20)s(24,40,28)t(24,40,28)t(24,32,28)*-s(32,48,20)+-
t(32,32,28)s(48,32,12)-t(32,48,28)s(40,48,20)*-t(32,40,12)+
c(40,24,20)c(32,32,12)s(32,40,28)t(40,32,20)-+*s(32,48,12)-
s(48,32,12)t(32,40,28)s(24,32,28)*+s(32,40,20)c(16,48,12)+*
s(40,32,20)s(32,40,28)s(40,40,20)-c(40,32,20)c(48,24,12)-+*
t(24,48,28)s(40,32,28)s(32,48,20)-s(24,16,12)t(48,56,12)+-+
s(40,16,20)s(24,24,12)-t(24,32,20)c(24,40,20)s(40,32,20)*++
t(40,32,20)s(32,32,20)t(32,24,20)-+t(24,24,12)t(24,40,12)+-
s(32,40,28)c(48,32,12)-s(32,24,28)t(24,48,28)s(24,40,20)+*-
c(32,32,20)t(24,24,12)t(24,48,28)+s(24,48,20)*+t(24,48,28)-
t(40,16,12)c(16,40,12)c(40,40,12)t(24,40,20)+++c(40,40,20)-
s(32,48,20)s(16,24,20)+t(32,32,28)t(32,48,12)+*c(48,48,12)-
s(24,32,28)s(24,24,28)s(32,40,28)t(24,24,12)-c(32,48,12)-*-
s(24,48,20)s(24,32,20)s(16,48,12)-+s(40,40,28)*t(24,48,28)*
c(24,32,12)c(32,32,12)t(32,24,20)+s(16,32,20)+t(32,24,20)-+
t(24,56,12)s(8,24,12)+s(32,24,28)s(8,40,12)++s(16,48,20)-
c(32,32,28)s(16,40,20)t(24,32,28)t(32,40,28)*-s(48,32,12)+*
s(32,32,20)c(32,32,20)s(40,48,20)t(24,48,20)--*s(40,32,28)*
c(48,16,12)s(32,32,20)+s(24,40,28)s(32,24,20)s(32,8,12)-*-
t(40,16,12)c(32,40,20)s(24,32,20)*s(40,40,28)s(24,40,28)**+
t(16,16,12)s(40,40,28)s(32,40,28)s(24,24,20)*t(24,40,12)+*+
t(48,56,12)s(40,32,28)c(32,40,20)s(8,48,12)+*c(24,32,12)-+
c(24,24,20)s(32,24,28)s(16,40,12)-+s(48,40,20)c(32,32,20)*-
s(32,16,20)t(32,32,28)s(40,24,20)c(24,24,12)+*t(32,48,20)+*
t(32,32,20)c(24,32,20)c(32,16,12)-+s(40,32,28)t(24,40,28)**
c(40,24,20)s(40,40,20)*t(40,56,12)+c(24,24,20)+t(24,32,12)-
s(32,40,28)s(32,32,20)t(48,48,12)c(40,24,12)++t(40,32,12)-*
c(32,24,20)s(16,48,20)t(32,24,12)t(24,48,20)+*s(32,40,20)+*
s(24,48,20)s(32,32,20)t(24,40,28)*t(24,56,12)+c(24,40,12)--
s(24,24,28)c(24,40,20)*c(32,40,20)c(48,24,12)-s(40,40,28)**
s(8,24,12)t(24,32,28)c(24,24,20)s(40,24,28)**s(40,32,12)++
c(16,24,12)c(24,32,12)s(32,40,20)s(8,40,12)+s(24,24,28)*++
s(16,32,12)s(8,48,12)+c(40,16,12)c(40,32,12)s(16,40,20)++*
s(40,24,28)s(24,32,28)s(48,40,20)-*c(32,24,20)s(24,40,12)-+
s(8,48,12)t(32,40,20)+t(32,48,28)*s(32,40,28)s(40,32,12)-*
c(24,40,20)c(40,40,20)t(32,32,20)+c(16,32,12)+*s(24,24,28)*
s(16,40,20)s(16,48,20)+t(24,40,20)c(40,32,20)+-s(16,40,12)-
s(32,40,28)c(24,24,20)+s(16,32,20)c(16,48,12)+*s(24,48,20)*
c(32,32,20)c(16,48,12)s(40,32,12)+t(24,32,28)s(40,32,28)*--
s(32,32,28)t(48,32,12)-t(32,32,28)c(32,24,12)-*s(24,48,20)+
t(24,40,28)c(40,32,12)c(24,40,20)+s(8,16,12)+c(40,32,12)-*
c(32,32,28)t(24,32,20)-c(32,24,20)s(48,32,12)-s(40,16,12)--
c(40,32,20)s(40,24,28)s(16,48,12)+t(32,32,20)-t(40,40,20)+*
s(24,16,20)c(40,40,20)s(40,24,28)t(48,24,12)-*+s(32,48,12)+
s(32,16,20)s(48,48,12)c(40,24,20)s(24,48,20)++*t(32,48,28)+
s(24,24,28)s(32,32,20)t(40,48,12)+s(24,48,20)-s(24,16,12)--
t(16,48,12)s(24,40,20)s(32,40,20)s(24,24,12)-*c(16,32,12)-+
c(32,32,20)t(40,48,20)s(32,24,12)+s(32,32,28)*t(32,40,28)*-
s(48,8,12)s(40,40,12)c(16,24,12)+s(48,48,20)+t(16,32,12)-+
s(40,40,20)t(24,40,12)+t(24,48,28)s(40,40,20)--t(48,40,12)-
t(32,48,12)s(32,32,20)c(32,32,12)s(48,16,20)+*+s(32,32,20)*
t(32,48,20)c(40,40,20)s(40,32,20)t(40,24,12)-s(24,40,12)-+*
s(40,16,12)s(40,40,20)c(40,32,20)*s(48,40,12)-+s(40,16,20)*
t(40,32,12)t(40,40,20)s(16,16,20)+s(32,16,20)*+c(24,32,12)-
t(32,32,28)c(40,32,20)*t(32,16,12)t(24,56,12)+-t(48,32,12)+
s(24,32,28)s(32,40,28)t(32,40,28)c(24,32,20)+*s(48,24,20)--
s(24,24,28)c(40,16,12)c(40,40,12)+*t(32,32,20)+c(40,40,20)*
s(8,16,12)s(32,32,20)+t(16,16,12)-c(16,24,12)-c(24,40,12)-
s(40,16,20)t(24,40,28)-t(24,24,20)s(16,40,12)+-s(32,32,28)+
s(48,32,20)s(32,40,20)s(48,24,20)-t(32,24,12)+c(16,40,12)--
c(40,24,20)s(40,32,28)*s(24,32,20)c(32,24,20)*-t(40,48,12)+
t(24,48,28)s(40,24,12)s(32,32,12)++t(24,32,28)*s(40,32,28)*
s(32,40,20)s(40,40,20)s(40,48,20)*-s(24,32,20)+t(40,24,20)-
t(24,48,28)t(48,32,12)+s(24,48,20)*s(24,16,20)s(8,32,12)++
t(24,40,28)t(24,40,28)s(24,40,20)s(40,24,20)+*s(16,32,20)+*
s(40,32,28)s(16,32,20)c(24,32,20)*-s(40,16,12)t(32,24,12)+-
s(32,32,12)c(32,32,28)s(40,16,20)*c(24,40,12)+c(32,48,12)-+
s(24,40,20)s(48,32,20)+c(24,32,12)-s(48,16,20)s(24,40,12)+*
c(24,24,20)c(16,16,12)t(32,40,28)+*s(32,32,28)*s(24,16,12)-
c(24,24,20)s(40,24,28)s(24,32,28)c(40,32,20)**-t(24,56,12)+
c(24,24,20)t(40,24,20)s(40,16,20)s(40,24,20)s(32,32,28)**+-
s(40,32,20)s(32,24,20)s(40,24,20)*t(48,32,12)+s(48,40,12)-*
c(40,48,12)s(40,48,12)s(40,32,12)++s(32,24,28)s(40,48,20)--
s(48,32,20)s(8,48,12)s(40,24,20)+s(24,32,28)t(24,24,20)-*-
s(24,32,28)c(40,32,20)+s(32,24,28)*t(24,16,12)-s(40,32,20)*
c(16,24,12)c(24,32,20)t(48,32,12)+s(32,24,28)*+t(40,32,20)*
c(40,32,20)t(40,48,20)t(32,32,20)--s(32,32,28)s(24,32,28)**
s(24,32,20)s(24,32,28)s(24,24,28)c(40,24,20)+*t(32,16,12)-*
s(40,24,20)s(24,16,20)+t(32,40,28)-s(40,40,20)c(24,32,20)*+
s(40,48,20)c(32,40,12)s(40,32,12)+c(48,48,12)c(48,40,12)++*
s(48,48,20)s(24,40,28)s(32,40,20)c(16,48,12)s(8,32,12)+-*+
s(24,32,28)c(40,32,20)+t(32,48,20)c(32,24,12)+*t(32,32,12)-
s(32,40,28)c(24,24,20)*c(32,32,28)s(48,40,20)*+s(48,48,20)*
s(8,32,12)s(24,40,28)c(24,24,20)c(48,48,12)+*s(48,40,20)-+
s(40,40,28)t(32,48,28)t(32,40,12)-c(32,48,12)+s(16,48,20)-*
s(40,24,28)s(40,32,28)c(24,32,20)-t(40,40,12)+c(40,40,20)**
c(40,24,20)s(40,16,20)*s(16,16,20)-c(24,32,12)+c(24,24,20)*
t(16,56,12)t(40,16,12)t(40,24,12)+t(40,40,20)++c(32,40,20)-
c(40,32,20)c(24,32,20)s(24,40,28)**s(32,32,28)s(40,24,28)**
s(16,24,20)c(32,40,20)c(32,16,12)+s(32,24,28)*s(32,32,20)*+
s(48,40,20)s(8,8,12)+t(32,48,20)c(32,24,20)-+c(32,32,20)*
s(24,16,20)s(48,8,12)c(16,16,12)+s(40,32,28)-s(24,48,20)+-
s(16,48,20)c(32,32,28)s(32,16,12)-+c(40,32,20)s(8,48,12)+-
c(32,24,20)c(40,40,20)s(40,48,12)c(40,24,12)+-t(24,48,20)-+
s(24,40,28)c(40,24,20)-s(48,48,20)-s(40,32,20)+s(48,32,20)*
s(48,32,12)s(32,32,12)+s(32,24,28)s(16,40,20)s(16,16,12)+*-
c(24,40,20)s(48,16,20)c(48,32,12)s(40,32,12)+c(40,16,12)--+
s(24,48,20)s(16,32,12)s(32,48,20)+s(40,40,28)c(40,40,12)-*+
t(32,48,12)c(40,24,12)+t(24,32,20)s(16,32,12)+c(32,24,20)+*
s(32,16,12)c(32,24,20)s(24,24,12)-s(24,24,28)c(32,40,20)*-+
c(24,32,20)c(48,48,12)c(32,32,20)+c(48,40,12)c(16,24,12)+--
t(40,40,20)t(32,16,12)s(40,8,12)+t(32,48,12)+s(40,16,12)--
t(24,48,28)s(16,32,12)-c(48,40,12)t(32,24,20)s(24,24,20)*++
t(32,32,28)s(32,48,12)-c(40,40,12)+t(32,40,28)s(40,40,20)**
t(24,32,28)s(32,32,20)s(16,48,12)+s(24,32,20)+*c(24,32,12)-
t(40,24,12)c(24,24,20)s(16,32,20)t(24,40,28)+*c(40,32,20)-+
t(24,40,28)c(24,40,20)*c(32,32,20)s(40,16,20)c(24,40,12)+**
s(40,32,28)s(32,48,12)-c(32,24,20)s(8,40,12)+s(32,48,20)-*
c(24,32,20)c(40,40,20)s(24,16,20)++s(32,24,12)s(48,16,20)+*
t(24,40,28)s(24,48,20)-c(40,32,20)s(8,8,12)++s(24,24,20)*
s(40,32,28)c(32,32,28)s(48,24,20)-s(24,48,20)+t(24,40,12)-*
s(48,48,12)s(32,48,12)c(32,24,12)+t(48,32,12)++s(24,40,12)-
t(32,40,12)s(40,24,20)s(32,8,12)-+c(24,24,20)*t(24,24,20)+
t(24,48,20)s(32,24,20)-s(40,40,28)c(32,32,12)-s(40,40,20)*+
s(16,24,20)t(40,16,12)+c(24,24,20)*c(32,40,20)s(32,32,28)*+
s(48,48,20)t(32,32,20)-t(32,48,20)+s(48,48,20)s(24,40,12)++
c(40,40,20)c(40,32,20)s(40,8,12)s(16,40,20)+-c(32,24,12)+*
s(48,16,20)t(16,56,12)c(48,48,12)+t(24,40,28)-+s(32,16,20)*
t(32,32,20)s(32,40,28)t(32,48,28)c(24,32,20)-c(24,16,12)+*+
c(24,48,12)c(40,32,20)t(48,24,12)-+s(32,24,12)s(48,24,20)+*
s(24,16,12)t(40,24,12)s(8,32,12)++s(16,16,20)+c(32,24,12)-
s(32,40,12)s(24,24,28)s(32,48,20)-s(16,24,20)s(24,24,20)**+
t(24,32,28)t(24,24,20)s(24,24,20)s(40,24,20)t(40,48,12)+-+*
c(32,40,20)t(40,32,12)-s(16,32,20)-t(24,48,12)+s(16,48,12)+
s(40,16,20)s(40,40,12)+s(40,16,20)s(16,32,20)+*t(32,32,20)-
s(40,8,12)s(16,16,20)c(40,40,20)+c(32,32,20)*c(32,40,20)*+
s(40,48,12)c(32,40,20)s(24,48,20)*+s(24,32,12)+t(40,40,12)-
c(32,32,12)t(40,24,12)t(40,48,20)++t(32,32,12)-c(32,32,20)*
t(32,32,28)s(40,16,20)s(24,40,28)t(32,32,20)*+*s(24,24,12)-
s(40,16,20)s(16,48,12)+s(24,32,28)s(40,16,20)-+t(32,32,20)-
s(32,40,28)s(48,8,12)s(40,40,20)+-c(32,32,28)t(32,48,20)-*
t(24,40,28)c(40,24,20)c(40,40,20)+*s(16,40,12)t(48,48,12)+-
s(32,32,12)t(32,40,28)s(40,32,28)s(32,24,28)*-+t(32,48,28)*
c(24,32,20)s(24,16,20)c(32,32,12)+*c(32,24,20)s(24,16,20)*+
c(40,48,12)t(32,48,20)+t(16,48,12)s(40,40,20)s(48,48,20)-+-
s(32,40,28)t(40,32,12)-t(40,48,20)-t(24,32,28)*s(40,24,20)+
s(40,24,12)c(32,40,20)+c(24,40,20)*s(16,24,20)-c(48,48,12)-
s(40,48,12)t(40,40,12)+s(24,32,28)+s(40,40,28)*s(24,24,20)-
t(32,48,28)c(40,24,20)c(32,40,20)*s(48,16,12)+t(40,48,20)-+
s(48,24,20)t(24,32,28)t(16,48,12)+c(24,40,20)*s(16,48,12)--
t(24,48,20)t(40,32,20)s(32,40,20)+s(16,40,12)-+t(32,48,28)*
s(48,32,12)c(24,32,20)s(40,40,20)c(24,48,12)c(40,32,12)+*-+
s(40,40,20)t(24,48,20)+c(32,32,20)+s(32,24,20)s(16,24,20)--
c(32,24,20)t(48,24,12)-c(24,24,20)t(24,24,12)-*s(24,40,12)-
t(40,56,12)s(40,40,12)s(24,16,12)++s(16,16,20)+t(24,32,28)-
s(48,16,20)s(40,40,20)-t(32,32,28)c(40,24,12)-s(40,40,28)+-
c(24,24,20)s(24,32,20)c(16,48,12)+s(32,32,20)**s(16,32,20)+
s(48,16,12)s(32,8,12)s(48,32,12)+c(32,32,12)-+s(40,24,20)*
s(24,32,12)s(48,32,20)t(24,32,28)t(32,48,20)--s(48,48,20)-+
t(24,48,12)c(32,32,20)s(24,24,12)-t(32,24,20)-+s(24,24,28)+
s(32,48,20)s(48,16,12)t(48,40,12)s(40,16,12)+++c(48,32,12)-
c(32,32,28)s(32,48,20)-s(40,32,20)s(32,32,20)+s(24,32,12)-+
t(16,56,12)s(32,32,20)s(40,24,20)*+t(24,56,12)+t(32,24,20)-
c(16,16,12)s(40,40,28)s(24,24,28)s(24,40,28)s(40,48,20)+**+
c(32,24,12)s(40,32,28)t(32,24,12)-+s(32,40,20)s(24,16,20)-*
c(40,16,12)s(32,32,20)+s(24,40,20)t(24,32,20)*s(48,40,12)+*
c(32,40,12)c(32,24,12)c(16,48,12)++s(32,48,20)*s(16,24,20)+
s(48,16,20)c(16,48,12)+s(24,24,28)+s(24,24,20)s(40,48,20)+*
t(32,32,12)s(32,8,12)+s(32,40,20)+c(24,32,20)*s(40,24,28)*
s(40,24,28)t(24,40,28)s(40,24,20)c(24,32,20)t(24,24,20)--+*
s(32,24,28)c(16,40,12)-s(40,32,28)*c(32,32,20)*s(16,32,20)-
c(40,32,20)c(24,32,20)t(32,32,28)*c(40,24,12)-s(32,40,20)*-
t(24,48,12)s(16,32,20)+s(40,32,28)s(40,48,20)+t(32,48,20)*-
s(32,24,28)t(24,40,20)-c(40,24,20)s(32,16,20)c(40,40,20)-*-
c(40,32,12)t(32,24,20)+s(40,32,28)s(32,16,20)-+c(24,16,12)-
s(40,8,12)s(16,16,20)+c(24,24,20)-s(32,40,28)c(40,48,12)-+
c(32,32,20)s(32,32,20)t(24,32,28)c(40,32,20)s(16,40,20)+**-
c(32,24,20)s(32,40,20)-s(24,48,12)c(40,32,20)+t(40,40,20)--
t(32,16,12)t(40,32,20)s(16,24,20)+s(24,40,28)s(16,32,20)**+
s(40,32,20)c(24,40,12)-t(24,32,28)+c(40,40,20)c(32,32,20)**
s(32,40,20)s(24,24,12)s(48,48,20)s(32,16,12)++c(32,32,28)**
s(24,40,28)s(32,24,28)+s(16,32,20)s(40,32,20)t(48,40,12)--*
s(24,48,20)t(32,48,28)t(24,48,20)*s(40,32,28)s(24,16,12)-+*
s(32,40,28)t(48,48,12)t(24,32,12)s(8,24,12)++-s(48,40,12)+
c(32,32,20)c(16,32,12)s(24,16,12)s(32,24,28)c(40,32,20)*++*
s(32,24,28)s(48,40,20)c(40,48,12)--s(32,48,20)c(32,32,28)*-
t(24,32,28)c(24,32,20)s(24,24,20)+c(32,24,12)-c(40,48,12)-*
s(32,40,28)s(40,32,28)+t(32,48,12)-s(40,40,28)*t(24,48,28)*
s(40,24,28)s(40,32,28)*c(32,40,20)t(40,56,12)-*c(24,24,12)+
s(16,16,12)s(48,40,20)+s(40,32,28)*c(24,24,20)-c(24,32,12)+
c(32,40,20)s(16,48,20)+s(24,40,12)-s(48,48,12)-s(32,48,12)+
s(32,32,28)s(32,16,20)s(32,48,12)s(32,24,20)+*-t(40,40,20)*
t(40,24,20)s(24,32,20)t(32,24,20)+c(32,24,20)*s(32,32,20)*+
t(32,16,12)s(24,32,20)s(24,24,12)-+s(16,48,12)s(40,32,20)+*
t(24,48,28)c(40,24,20)t(32,40,28)*c(32,32,28)c(40,24,20)-+*
s(16,16,12)c(32,40,20)+s(40,48,20)t(40,48,12)-+s(32,16,20)-
c(32,48,12)s(24,40,20)+s(32,40,28)s(24,24,28)s(48,32,20)--*
s(40,16,20)s(40,16,20)c(40,16,12)-t(32,32,28)c(32,16,12)++*
s(24,24,28)s(40,16,12)-t(32,40,28)t(32,48,12)c(16,16,12)+--
c(24,32,12)t(32,32,20)s(40,32,20)*t(24,48,20)t(48,32,12)+++
s(32,32,20)s(48,48,20)c(32,48,12)--t(32,32,12)-t(16,40,12)-
s(32,32,28)t(32,56,12)+c(40,24,12)-s(32,32,20)*s(48,32,20)+
s(32,48,12)t(40,24,20)s(40,24,20)s(32,8,12)-++t(32,48,28)*
s(24,32,20)t(24,32,28)*s(32,24,28)*c(32,16,12)+c(24,40,12)-
t(32,40,28)s(8,40,12)s(40,48,20)+*s(32,16,20)+t(32,48,12)-
c(24,40,20)s(24,24,20)c(24,32,20)c(40,40,20)+*c(32,24,20)**
c(24,40,20)s(48,32,12)+s(40,16,20)-s(24,32,12)s(40,40,20)+*
s(16,16,20)c(16,24,12)-c(48,32,12)s(24,16,20)++s(24,40,28)-
c(32,24,20)t(24,32,28)s(24,24,28)*t(32,40,20)t(40,48,12)-+*
s(16,16,20)s(16,24,20)+s(48,24,20)s(48,32,20)t(40,48,20)-*+
s(24,32,20)t(24,16,12)s(48,8,12)+t(40,40,20)+t(32,40,12)--
s(32,48,20)s(24,40,20)+c(24,32,20)t(40,56,12)++s(24,24,20)*
s(48,32,20)s(16,40,20)c(16,40,12)-s(16,16,12)++s(24,24,20)*
c(40,32,20)c(48,48,12)-t(24,40,20)s(40,32,12)+*t(40,24,12)-
t(32,40,28)s(32,32,20)s(40,40,28)t(24,40,28)s(16,32,12)----
s(32,24,28)c(48,40,12)-s(16,16,20)*s(24,48,20)t(24,40,28)*+
s(16,48,12)t(24,48,28)t(16,40,12)-c(16,40,12)-c(32,24,20)-+
s(40,16,20)c(24,32,20)s(16,8,12)t(16,32,12)+-c(40,40,12)++
c(32,40,20)c(40,40,20)s(32,40,28)t(24,32,28)*+s(40,48,20)**
s(32,24,28)s(32,32,20)t(40,24,12)-*t(16,24,12)-c(40,40,12)+
c(32,32,20)s(40,32,28)s(40,16,20)+*t(32,48,20)-c(40,24,20)*
c(16,16,12)s(16,48,20)s(32,8,12)+c(24,40,20)t(40,40,12)--+
s(32,24,20)t(24,40,28)s(32,32,20)t(48,24,12)+*+t(32,32,28)*
s(16,40,20)c(32,24,12)+c(32,32,20)s(32,24,28)*t(32,48,20)-*
s(32,40,28)c(24,40,20)*c(48,24,12)+t(24,56,12)s(24,32,20)+-
s(32,40,20)s(16,8,12)+c(16,16,12)-s(16,8,12)-s(24,40,20)*
s(24,24,12)s(40,40,12)+c(40,24,12)+c(40,24,20)t(32,48,12)+*
c(32,40,12)s(24,40,20)s(32,16,20)+c(32,40,20)+t(24,48,28)*+
t(48,48,12)t(32,48,28)t(24,48,28)s(40,24,28)+c(24,40,20)**+
s(48,40,12)s(24,24,20)t(24,40,28)*+s(32,40,20)c(24,24,20)*-
s(48,16,20)t(32,40,20)s(32,16,20)-c(32,24,20)+s(16,40,20)-*
c(16,16,12)s(32,16,12)+s(32,32,28)+s(40,40,28)c(32,32,20)+-
s(40,24,28)t(24,40,20)s(40,24,20)+c(16,16,12)s(32,32,12)+-+
s(40,40,28)s(24,16,12)+s(48,24,20)s(48,32,20)+*c(32,24,12)-
s(40,32,20)s(48,40,20)s(48,48,20)t(24,40,20)s(40,40,20)+--*
s(48,32,12)c(16,32,12)t(24,40,20)c(32,32,20)*+t(24,48,28)*+
c(32,32,20)t(24,24,20)-s(24,32,12)s(8,40,12)+-s(24,8,12)+
t(24,32,28)t(40,32,20)+s(32,40,28)*s(32,24,28)t(32,32,12)-*
s(48,16,20)c(40,40,20)s(40,32,28)t(32,40,28)*s(40,24,28)*--
s(24,32,28)t(16,16,12)-t(32,40,28)c(40,24,20)t(24,48,28)+*-
c(32,32,12)t(32,48,20)c(40,32,12)+c(24,32,20)s(24,8,12)+-+
c(24,16,12)t(32,40,20)+c(16,48,12)t(48,56,12)+-s(24,40,12)-
s(24,48,20)s(32,24,20)t(32,40,28)*+t(32,48,28)*s(16,24,20)-
t(16,40,12)t(40,40,20)s(40,24,12)-+t(32,24,20)t(40,56,12)+-
c(40,40,20)s(40,16,20)s(48,40,20)s(48,48,20)*+*t(40,40,20)+
t(24,48,28)s(8,40,12)c(24,32,12)+c(32,32,28)*s(8,48,12)+-
t(32,32,20)s(24,16,12)-c(40,24,12)t(40,48,12)++s(24,32,28)*
s(16,48,20)s(8,32,12)-s(24,24,20)t(40,40,20)t(24,32,20)+*+
s(32,40,20)t(40,16,12)+s(24,16,12)+c(24,40,20)t(24,32,12)-*
s(32,16,20)t(32,16,12)c(48,16,12)++t(24,32,28)s(48,32,12)++
t(40,48,20)s(32,40,28)c(16,48,12)t(32,24,20)+s(24,32,28)*-*
s(24,40,20)s(16,48,20)c(24,24,20)c(48,32,12)t(32,24,20)++--
s(24,48,12)c(40,40,20)s(32,40,20)-c(32,16,12)++s(40,32,20)*
s(40,24,28)c(24,32,20)s(40,32,28)*s(24,32,20)+c(24,24,20)*-
s(24,24,20)c(32,40,20)t(48,40,12)c(48,16,12)+--c(32,16,12)+
t(24,48,28)s(24,32,28)+c(32,32,20)s(8,32,12)+c(32,24,12)-*
c(40,24,20)c(32,32,20)*s(32,32,20)s(8,40,12)+s(32,48,20)*-
s(48,48,20)t(32,32,20)+c(32,32,20)t(24,48,28)*-t(24,24,20)-
c(32,40,20)s(24,24,28)s(40,40,28)-t(16,32,12)-+s(32,48,20)-
s(48,24,12)c(40,40,20)s(24,40,28)-s(24,40,20)++s(24,40,28)-
t(24,32,28)s(32,48,20)s(32,24,28)+*s(32,48,20)c(32,32,20)*-
s(24,8,12)c(32,24,12)+s(48,48,20)+s(32,40,28)*t(24,32,20)-
c(40,32,20)s(48,40,12)-t(40,32,12)-t(24,32,20)+s(48,24,20)-
s(40,48,20)t(32,40,20)-c(32,32,20)t(24,32,20)-t(32,40,28)++
s(40,24,20)t(40,40,20)s(48,16,20)t(24,16,12)++s(48,16,12)-*
s(32,16,20)s(40,32,12)s(16,16,20)+s(32,40,20)c(24,24,12)+*-
c(40,32,20)c(40,24,12)-t(24,32,28)s(32,24,28)*c(32,24,20)*-
s(24,40,20)s(40,32,20)s(16,24,20)+t(24,48,28)t(24,40,28)*--
s(40,40,20)t(32,32,28)t(40,16,12)s(32,24,28)c(40,40,20)*+*-
s(32,32,28)s(32,24,28)s(8,8,12)+*s(24,40,28)+s(40,40,28)-
s(8,16,12)t(40,16,12)+t(24,48,28)t(40,40,12)++t(24,32,28)+
t(32,40,20)s(16,24,20)s(24,40,28)*t(16,40,12)--s(32,32,12)+
c(40,32,12)s(24,48,20)+s(16,24,20)s(16,40,20)s(40,24,12)+*-
c(40,24,20)s(24,48,20)+c(32,32,12)s(16,24,12)+s(8,32,12)-*
s(48,48,20)s(8,32,12)+s(24,40,28)*t(48,56,12)+s(40,32,28)+
t(16,32,12)t(24,48,28)+s(24,24,12)-s(32,32,20)t(24,32,20)*-
c(24,24,20)c(32,24,20)t(40,48,20)-t(24,48,20)-c(40,40,20)--
t(24,40,28)s(32,24,20)+s(40,16,20)t(24,32,28)t(32,32,20)-+-
s(24,24,28)c(24,32,20)t(32,48,20)--t(32,48,28)t(24,32,28)-+
t(16,32,12)s(48,32,20)c(32,24,20)s(16,32,12)+c(24,32,20)*-+
s(24,32,28)c(16,32,12)-s(32,32,20)s(32,40,20)**s(24,24,20)+
c(24,32,12)t(48,32,12)+c(40,40,12)+t(40,32,20)*c(16,48,12)+
s(16,16,20)c(32,24,20)s(24,8,12)-s(16,48,12)++s(40,32,20)-
c(24,16,12)t(40,32,20)t(32,40,12)-c(48,40,12)++s(32,32,20)*
s(16,16,12)s(40,24,20)+t(24,24,12)-s(40,16,12)c(40,40,12)+*
c(40,40,20)t(24,16,12)s(16,40,20)s(32,48,12)+c(32,32,20)-++
c(32,24,20)s(48,16,12)c(32,48,12)+-t(16,48,12)c(40,24,20)+*
s(16,16,20)s(40,16,20)t(24,16,12)t(48,32,12)+--s(8,24,12)-
s(48,32,20)t(24,16,12)s(24,32,20)s(24,32,28)c(32,40,20)**+-
t(24,40,28)c(32,40,20)s(24,40,12)-t(40,48,20)s(16,16,12)+--
s(32,40,20)s(16,24,20)+t(32,32,28)t(32,40,28)s(24,48,12)-**
t(40,16,12)c(40,32,20)t(32,40,28)s(32,32,20)**+c(32,24,20)*
s(40,48,20)t(32,40,28)s(24,8,12)+c(32,24,20)-+t(16,56,12)+
s(16,40,20)s(48,32,20)t(40,24,12)-+c(40,24,20)*s(32,32,12)+
c(24,32,20)t(24,40,28)+c(48,48,12)t(24,40,28)++t(24,40,28)-
t(40,32,20)s(48,24,12)c(40,32,12)+c(24,16,12)+t(32,32,20)-+
s(40,32,28)s(16,32,20)s(40,40,28)c(32,40,20)*-s(24,16,12)++
s(32,48,20)s(16,16,20)t(24,32,12)s(40,24,20)t(24,32,20)-++-
s(40,32,20)c(32,32,20)s(32,40,20)t(24,40,20)*-s(24,16,12)-*
c(24,32,20)c(24,32,20)s(48,16,20)t(24,40,28)s(24,24,20)-+*-
s(24,32,20)t(24,32,20)t(32,48,28)c(40,48,12)-s(24,32,20)-+*
t(32,40,28)s(24,40,20)s(48,32,12)+s(32,40,20)**s(8,48,12)+
s(24,8,12)s(40,40,12)c(24,48,12)+t(32,56,12)-s(40,32,28)*+
c(24,40,20)c(32,48,12)-c(40,32,20)s(16,32,20)c(24,24,20)+*-
t(24,32,20)s(32,48,12)+c(24,16,12)-c(40,40,20)s(48,32,12)-*
c(32,32,28)s(40,32,28)c(48,16,12)--s(32,16,12)-s(8,40,12)-
s(16,40,20)s(32,40,20)c(16,16,12)+s(24,24,20)--c(24,32,20)*
s(16,16,20)s(40,40,28)s(40,24,28)s(40,32,28)**+s(32,24,20)*
s(40,40,20)s(40,40,28)s(24,32,28)*t(24,48,28)*+s(40,32,20)*
s(16,24,12)s(40,24,28)+t(32,24,12)-t(32,32,28)-c(32,16,12)-
c(24,40,12)s(32,16,20)+c(40,32,20)t(32,48,28)s(24,24,20)+*+
s(32,24,28)s(40,24,12)-c(48,40,12)-s(48,40,20)s(40,40,20)+-
t(24,16,12)c(48,16,12)c(24,48,12)c(40,48,12)+s(48,32,20)+++
s(40,40,12)c(16,32,12)s(24,40,20)s(16,48,12)-t(24,48,12)-++
c(24,40,20)s(24,32,28)c(32,32,20)**s(40,32,20)s(40,24,12)--
c(32,24,20)c(40,32,20)s(40,24,12)-+s(32,32,20)-s(24,32,28)-
s(32,24,28)s(40,16,20)+s(24,24,28)c(40,24,20)t(32,32,28)**-
s(40,32,28)t(24,40,28)c(48,40,12)+t(40,32,12)t(32,40,20)+*-
c(32,32,20)c(48,48,12)s(24,24,28)+*s(16,24,20)+s(32,16,20)-
t(32,32,28)s(32,48,12)+s(40,32,28)*c(40,48,12)+c(24,40,20)*
c(48,32,12)c(24,40,20)t(24,56,12)-+t(40,24,12)c(32,32,12)+*
t(48,40,12)c(24,32,20)s(32,40,28)t(32,48,28)*-+s(32,24,20)*
c(16,16,12)c(24,32,20)c(40,32,20)c(40,40,12)--+s(24,48,20)*
s(32,32,28)c(24,16,12)-s(24,32,28)t(24,24,20)t(32,16,12)+*-
s(32,32,28)c(48,24,12)s(24,48,12)+t(24,32,28)+*t(32,40,28)*
c(24,32,20)c(48,40,12)t(24,32,12)+t(24,32,20)c(40,40,12)-+*
t(40,32,20)c(40,40,20)t(24,40,20)+c(24,48,12)-s(32,40,20)-+
s(40,24,28)c(32,40,12)c(16,24,12)+t(24,48,12)++s(16,32,20)*
t(24,48,12)t(24,32,28)s(24,48,20)*t(32,40,20)+t(40,32,20)-+
t(32,56,12)s(48,32,20)+s(40,16,20)-t(48,16,12)s(32,16,20)++
s(40,48,20)c(48,32,12)+c(40,24,20)s(16,16,20)c(16,32,12)-+*
c(24,24,20)s(24,24,20)s(16,16,20)*t(40,40,20)t(40,24,12)-+-
c(48,32,12)c(16,40,12)+c(32,24,20)+t(40,40,20)s(32,40,12)+*
c(40,32,20)s(48,48,20)-s(32,48,20)s(32,32,12)s(40,16,20)++*
c(24,40,20)s(16,32,12)-t(40,24,20)c(24,40,20)+t(32,32,28)-*
s(16,48,20)t(40,56,12)s(40,32,28)+t(24,24,20)-t(24,48,20)-+
t(24,40,28)c(24,40,20)t(32,48,28)c(32,32,20)+s(16,48,20)-**
t(24,32,28)s(32,24,28)*s(24,48,20)+s(24,24,20)*s(24,16,12)+
s(24,32,20)t(16,24,12)-t(48,40,12)+c(32,40,20)*c(24,24,12)-
t(24,40,20)t(40,40,12)s(32,40,20)t(32,32,20)-+s(40,40,28)*+
s(32,32,28)t(32,48,28)c(24,40,20)*s(24,24,28)+s(16,16,12)-*
c(24,24,20)c(24,32,20)s(40,32,28)t(24,40,28)**t(40,40,12)+-
s(32,40,28)s(16,48,12)t(16,24,12)t(24,16,12)++s(16,40,12)+-
s(24,40,28)c(16,24,12)s(16,48,20)+*s(40,24,28)s(16,16,20)--
s(32,16,12)t(16,32,12)c(40,32,20)c(24,16,12)-s(32,24,28)*++
s(24,40,28)c(40,32,20)t(48,16,12)--t(48,40,12)+c(24,32,20)-
s(32,24,28)t(24,32,20)c(40,32,20)s(32,8,12)+t(32,40,20)---
s(32,40,20)t(32,32,28)c(32,40,20)*c(40,32,20)c(48,16,12)-**
s(32,24,28)s(24,40,28)c(16,16,12)s(24,40,12)+*t(40,24,12)+*
c(32,32,20)s(32,32,20)t(24,48,20)t(24,40,28)*+*s(24,24,20)-
t(32,40,28)c(32,40,12)s(40,48,20)s(32,32,12)-s(40,40,28)*+-
s(48,16,12)c(32,24,20)s(24,16,20)*t(40,32,12)++c(40,40,20)-
s(16,24,20)s(48,24,20)+s(24,32,20)*t(32,48,28)-c(24,32,12)+
s(40,40,28)t(32,24,20)s(8,40,12)+-s(32,32,20)t(48,56,12)+*
t(16,16,12)s(40,32,12)+s(40,16,20)s(32,32,12)-t(32,24,20)++
s(16,24,20)s(48,8,12)t(32,40,28)+t(24,32,28)c(40,32,12)--+
s(48,8,12)c(48,32,12)+c(40,48,12)s(32,24,28)+t(24,32,20)-*
t(24,40,28)t(24,32,28)s(40,32,12)-s(24,48,12)-s(8,32,12)+-
s(24,32,20)t(32,40,12)-c(24,16,12)-t(40,40,12)+t(16,48,12)-
s(48,48,20)s(40,24,28)c(24,40,20)s(40,16,12)c(16,24,12)+--+
t(32,56,12)t(32,48,20)c(32,32,28)s(24,24,28)*c(16,16,12)--+
s(48,32,20)c(32,32,20)*s(40,48,20)s(24,48,20)*-t(24,56,12)+
s(24,24,20)c(16,24,12)t(16,48,12)+s(24,32,20)+s(24,16,20)--
t(40,24,12)c(24,40,20)s(24,48,20)-s(16,16,20)s(24,8,12)-++
s(24,32,28)s(32,24,28)c(32,24,12)-s(16,40,20)+*t(24,40,28)*
t(32,32,28)s(40,48,20)t(48,40,12)-t(24,32,28)-+s(40,32,20)-
s(48,16,20)s(16,48,20)+c(16,40,12)-s(32,48,20)s(24,16,20)+*
s(32,40,28)t(40,32,20)c(24,40,12)--s(24,48,20)*t(32,56,12)-
s(16,8,12)c(32,24,20)t(16,24,12)-c(40,24,20)*+c(32,24,20)*
s(24,32,28)s(32,32,28)s(24,32,28)*s(40,16,20)++s(40,32,28)*
t(32,40,28)s(24,48,12)t(40,48,12)+c(40,40,20)+*s(24,32,20)*
c(48,40,12)s(24,16,12)c(40,24,20)c(40,40,20)-++s(32,16,20)-
s(40,32,20)t(32,24,20)s(24,40,20)+t(40,48,20)t(48,48,12)--*
s(40,24,20)s(24,32,28)*t(24,32,20)s(16,16,12)-+t(32,24,20)*
t(40,40,20)s(48,48,20)s(40,32,28)s(48,24,20)--+t(24,40,28)-
s(40,32,20)s(16,32,20)s(24,40,28)+c(40,40,20)t(24,48,12)-*-
s(40,48,20)t(24,48,12)t(40,56,12)++s(48,24,12)t(24,48,28)+*
s(16,40,20)t(24,40,28)+c(24,24,20)t(24,24,20)--s(32,40,28)*
c(16,40,12)s(40,24,28)c(32,32,20)*+t(32,48,28)c(24,16,12)+-
s(24,32,20)s(16,16,12)+s(16,48,20)s(16,16,20)+*s(48,24,12)+
s(32,24,28)s(40,40,28)s(32,32,28)*s(40,32,20)+t(32,32,28)**
t(32,48,20)s(32,32,28)s(32,40,20)t(24,40,28)**s(48,40,12)++
s(40,40,28)s(16,40,20)-t(40,40,20)s(24,32,12)+s(32,24,28)*-
s(40,24,20)c(16,32,12)+t(24,40,28)s(40,40,28)*+s(32,48,12)-
c(32,40,20)c(32,32,28)s(24,48,12)-*c(48,48,12)t(24,24,20)+-
s(32,40,28)s(24,32,28)c(40,32,20)s(32,48,12)s(24,8,12)++**
s(24,24,20)c(24,32,20)*t(24,40,20)s(16,32,12)--c(24,40,12)-
c(32,40,20)t(24,48,20)c(40,40,20)+c(24,24,20)+s(40,32,28)**
s(32,48,20)s(32,40,20)t(32,56,12)+s(48,40,12)+*c(32,32,20)*
s(16,32,20)s(48,24,20)t(32,48,28)+c(40,40,20)*t(32,32,28)*-
c(40,32,20)s(40,24,20)s(48,40,20)c(32,24,20)s(24,40,28)*-+*
c(32,32,28)s(32,24,20)-s(40,32,20)s(24,32,28)*+s(16,24,20)-
s(16,24,20)c(32,32,20)s(24,32,12)-c(32,24,20)t(40,40,20)--+
s(24,40,28)s(24,48,20)s(32,24,28)-*s(48,40,20)s(48,32,12)--
c(32,40,20)s(24,16,20)t(40,16,12)+s(24,24,28)*+s(24,24,28)*
s(40,40,28)t(24,48,20)-t(48,16,12)s(24,16,20)t(48,40,12)++*
c(32,40,20)s(48,16,20)+c(32,16,12)-s(32,24,12)c(24,40,12)+*
s(16,32,20)s(24,24,20)s(40,16,20)++s(40,40,20)+s(40,40,28)*
t(24,32,28)s(48,32,12)+c(32,32,12)-c(32,24,20)c(32,24,12)--
c(32,32,20)s(16,16,20)s(16,32,20)*-s(16,16,12)t(32,32,28)+*
s(24,32,28)s(24,24,20)-s(32,48,20)+s(32,24,20)s(40,48,20)+*
t(24,32,12)s(24,48,20)t(32,40,28)s(32,32,28)s(32,16,12)-**+
s(8,24,12)t(24,40,20)c(24,32,12)++s(40,40,28)s(8,8,12)+-
s(40,16,12)t(32,40,28)s(8,8,12)c(32,40,12)+-c(16,24,12)++
t(24,32,20)s(24,32,20)s(16,24,20)+t(32,32,28)--t(32,48,28)+
s(32,16,12)s(24,40,20)+t(32,48,20)-c(32,40,20)+c(16,48,12)-
c(40,24,20)s(24,40,28)s(16,16,20)-s(40,32,12)-s(40,32,20)+-
s(32,40,20)t(40,40,12)t(24,32,28)t(40,40,12)-+*t(40,48,12)-
t(24,40,28)s(32,48,12)-c(48,24,12)s(24,24,28)+s(32,40,20)*-
s(32,24,28)s(24,32,28)t(24,48,28)-+t(32,32,28)t(32,40,28)**
c(40,32,20)s(48,40,20)*c(32,24,20)s(32,8,12)-s(24,24,20)*+
t(24,48,20)s(16,48,20)s(32,48,20)t(40,24,12)s(16,48,12)++**
s(24,24,28)t(32,24,20)c(24,40,20)t(32,48,28)-+t(48,40,12)+-
s(16,8,12)c(24,32,20)+c(40,40,12)t(32,32,28)t(40,24,12)-+*
c(24,24,20)t(24,24,20)t(32,40,28)+c(32,16,12)-*s(32,24,12)-
c(32,24,20)c(24,40,20)s(32,48,20)s(24,48,20)**-s(24,16,20)*
s(32,24,28)s(16,40,20)-s(40,32,12)s(16,24,20)c(40,40,20)-+*
t(32,40,28)s(48,32,20)c(40,24,12)--s(32,16,20)s(8,32,12)+-
s(24,16,12)c(32,32,28)c(24,40,12)-c(32,16,12)-+c(32,32,20)+
s(24,40,28)s(32,32,20)s(48,48,20)c(48,32,12)-++s(24,24,20)+
c(24,48,12)t(40,16,12)c(16,32,12)+t(32,48,28)+c(32,24,20)-+
t(40,40,12)c(24,32,20)s(24,16,20)*s(24,8,12)-+t(32,40,12)+
s(24,24,20)c(16,48,12)s(16,48,12)s(8,24,12)+c(32,32,20)-++
t(24,32,28)s(32,24,20)c(32,40,20)*-t(40,48,12)c(40,24,12)+-
s(24,24,28)t(40,32,12)s(32,24,28)s(32,24,20)s(16,32,12)+-+*
c(40,16,12)c(24,24,20)c(40,32,20)*t(40,48,20)-+c(32,32,20)*
c(40,32,20)s(48,24,20)s(40,40,28)c(40,32,20)*t(40,32,20)-+*
s(48,24,20)t(40,16,12)-c(32,40,20)t(24,32,28)*s(24,8,12)++
s(32,24,20)t(16,48,12)s(32,24,20)+c(48,16,12)-s(32,40,20)--
c(40,40,20)s(32,24,20)t(40,16,12)-t(24,56,12)+s(32,32,28)*-
s(32,16,20)c(24,24,12)-s(32,40,20)+t(24,48,28)s(40,40,28)**
s(16,24,20)s(32,32,28)s(40,40,28)-s(48,16,12)-+s(16,40,20)-
c(24,16,12)t(32,32,28)+t(16,40,12)-s(24,32,20)+s(48,40,12)-
s(40,24,12)t(32,16,12)+t(40,48,20)s(24,32,20)s(16,16,12)--+
s(24,48,20)t(48,56,12)c(24,24,20)+s(32,40,20)*+c(32,40,20)*
t(48,24,12)s(24,40,28)c(24,24,20)*+s(32,16,20)+s(40,40,20)-
t(24,32,28)c(32,32,28)c(40,40,20)-s(32,16,20)*c(16,40,12)+*
t(24,40,28)c(40,40,20)*c(32,32,20)s(24,32,28)s(8,48,12)-**
s(16,24,20)s(32,40,20)c(48,48,12)s(32,32,12)+c(32,32,12)+*-
s(24,24,28)c(32,32,20)*c(40,24,20)s(40,16,20)c(24,40,20)--*
t(24,48,28)c(32,32,12)-t(24,56,12)-s(48,40,20)t(24,24,12)++
s(16,32,20)s(24,32,28)c(32,40,12)c(48,32,12)+-s(40,24,28)-*
s(24,24,20)c(40,40,12)s(40,16,12)+s(48,24,12)s(32,24,20)+*-
c(32,32,28)c(48,40,12)s(24,16,20)+s(24,32,12)+-s(24,32,28)*
s(24,16,20)s(16,24,20)s(24,32,28)s(8,8,12)+t(24,48,28)*--
t(24,40,28)t(32,48,20)t(32,56,12)t(32,40,28)+*s(8,32,12)+*
c(16,32,12)c(24,48,12)+s(24,40,28)s(16,40,12)c(32,32,20)+**
s(32,24,28)s(32,32,28)t(24,32,20)s(32,8,12)+*-s(40,8,12)-
s(32,16,20)s(24,40,20)s(16,48,12)-s(48,8,12)+-c(24,40,20)-
s(32,40,12)s(16,24,20)+s(16,40,20)s(16,32,20)*+c(24,40,20)*
s(40,32,20)s(32,32,28)t(40,24,12)s(24,16,12)s(40,32,12)++**
t(32,32,28)c(24,16,12)s(40,40,28)+*c(40,24,20)s(24,24,20)**
c(40,24,20)s(32,16,20)c(40,40,20)-t(32,24,12)--s(32,40,20)-
c(40,48,12)t(24,40,28)+s(24,32,20)*c(32,32,20)s(24,40,20)**
s(24,32,20)s(24,16,20)s(16,32,12)-t(32,32,28)+t(24,48,20)-*
c(48,16,12)t(24,40,28)t(32,48,20)-c(24,32,20)*+s(24,24,28)*
c(24,40,20)s(8,16,12)t(32,32,20)+s(32,24,20)++s(16,32,20)-
t(32,40,20)c(40,32,20)t(32,40,28)**s(48,32,20)t(40,32,20)--
c(48,32,12)t(32,16,12)t(16,16,12)++s(32,24,28)*t(48,16,12)+
s(40,16,20)s(40,48,20)+t(24,48,20)-c(32,24,20)*s(32,16,20)*
s(24,40,28)s(24,16,20)-s(48,32,20)s(32,24,28)*-t(24,24,20)+
s(48,40,20)s(32,40,28)c(40,48,12)t(32,56,12)+t(32,40,28)+--
s(24,24,28)s(24,40,28)*c(40,40,12)t(32,48,12)c(32,24,12)++*
s(8,40,12)c(32,16,12)+t(32,40,20)c(32,24,12)+s(40,48,12)--
t(32,40,28)t(32,32,28)*c(32,24,20)*s(24,32,20)c(16,24,12)+*
c(32,32,28)s(16,48,20)+t(32,48,28)s(48,32,20)+-s(16,24,20)*
s(24,40,12)s(32,24,20)t(32,32,28)*+t(40,40,12)-c(24,48,12)-
t(32,48,28)c(32,40,12)-t(16,48,12)+c(16,16,12)+c(24,32,20)*
s(24,40,28)s(32,24,20)*s(8,16,12)+s(16,24,12)-t(32,48,20)-
t(24,32,20)c(24,48,12)t(32,56,12)++c(48,24,12)+s(40,40,20)*
s(24,32,28)s(24,32,20)-s(24,24,28)s(48,16,20)s(32,48,12)++*
s(32,32,20)s(40,32,28)s(40,40,28)s(48,32,20)*-*s(48,24,12)+
s(32,32,28)s(32,24,28)s(40,24,28)**t(48,32,12)-s(24,32,12)-
c(48,40,12)s(24,16,20)+c(24,24,20)+s(16,32,20)s(40,40,28)+-
c(32,24,20)s(24,48,20)s(40,40,20)+s(32,40,20)t(40,24,20)+**
c(24,32,20)t(24,40,28)t(40,48,12)-t(40,24,20)-s(32,40,28)+*
t(24,40,12)s(32,24,20)t(32,40,28)t(24,48,28)*-c(48,40,12)-+
t(32,32,20)s(48,48,12)s(40,40,28)c(24,40,20)c(32,32,20)**+*
c(32,32,28)s(32,16,20)s(24,24,12)--s(24,48,20)c(16,48,12)-*
s(24,32,20)s(24,32,28)s(40,24,20)*+c(40,32,20)s(16,32,12)+*
t(24,56,12)c(32,32,12)+c(32,32,20)s(32,48,12)-t(32,24,12)--
t(32,40,28)s(24,32,28)c(24,24,20)c(24,32,12)-*s(8,24,12)--
s(32,24,28)c(32,32,12)-t(32,16,12)c(48,24,12)+s(48,16,20)*-
t(24,48,28)s(40,40,28)t(24,40,28)s(24,40,20)**s(32,32,12)+-
c(24,32,20)s(48,32,12)s(48,16,20)+s(32,32,20)s(40,24,28)+*-
t(32,32,28)t(40,24,20)t(40,40,20)-s(24,8,12)+s(40,24,12)--
c(32,40,20)s(32,48,12)-t(32,48,20)+c(40,40,20)t(24,32,28)-*
s(24,32,28)t(40,32,12)-s(24,32,12)-s(32,24,28)*c(40,24,20)+
t(40,40,20)c(32,32,12)+c(40,32,20)c(32,32,20)*+s(48,40,20)*
c(24,32,20)t(24,40,28)t(16,48,12)s(48,8,12)++t(32,48,20)-*
c(32,24,20)s(40,8,12)s(24,16,20)++s(40,32,20)c(40,16,12)+-
s(48,48,20)t(40,40,20)s(32,40,20)s(40,40,20)*+-c(24,40,12)+
s(24,16,20)s(16,40,12)s(32,32,28)c(48,16,12)-c(24,24,20)*+*
s(40,24,20)c(24,24,20)s(32,8,12)+*s(48,24,12)+t(48,40,12)+
c(16,48,12)t(24,40,28)s(40,40,28)*+t(40,32,20)-t(40,48,12)-
t(24,32,28)t(32,32,20)s(48,32,12)--c(40,40,20)s(48,40,20)*-
s(40,32,28)s(32,16,20)s(8,16,12)+s(32,32,28)t(40,24,20)*+*
s(40,24,28)s(32,40,28)s(32,48,20)c(32,32,20)+*s(40,48,20)-+
s(40,48,20)t(24,32,20)c(24,32,20)t(24,32,20)-+c(40,40,12)--
s(32,40,28)s(40,48,20)t(40,32,20)s(24,32,28)+*-s(24,48,12)-
s(40,32,28)s(24,48,12)-c(40,24,20)t(40,48,12)s(16,48,12)++*
c(24,32,20)s(32,32,28)*c(32,24,20)+c(16,32,12)t(40,32,12)+*
s(40,40,28)c(32,40,20)t(32,24,12)-+c(16,40,12)-t(32,40,28)*
s(24,24,12)s(48,32,20)+s(32,40,20)s(40,48,12)-+s(8,24,12)+
t(32,32,20)c(40,40,20)c(24,16,12)+t(32,40,20)t(40,40,12)--+
s(40,48,12)s(40,16,20)c(16,32,12)+s(32,32,28)t(32,48,20)--+
t(40,16,12)c(40,32,20)t(32,48,28)s(24,32,28)**s(16,16,20)++
s(32,32,28)t(32,40,28)*s(32,48,20)s(24,8,12)+c(40,40,20)**
s(40,40,28)s(32,24,20)s(24,40,12)-s(40,24,20)s(32,8,12)-*-
c(32,16,12)t(32,48,28)c(40,24,20)-c(32,32,20)c(24,24,20)--+
t(40,24,20)s(40,32,20)t(32,32,28)t(16,40,12)-+s(40,16,12)-+
s(40,32,28)s(48,40,20)t(40,32,12)--s(48,32,20)c(32,40,20)--
s(32,32,28)s(24,48,20)-s(48,24,12)-t(48,24,12)s(48,16,12)++
s(40,32,28)s(24,24,28)c(16,16,12)s(24,40,20)+s(16,48,20)*-+
c(40,16,12)t(32,48,28)s(40,32,12)+c(16,32,12)++s(24,32,28)*
t(32,48,20)s(32,48,12)s(8,24,12)+t(40,40,12)-s(24,32,28)+*
s(32,40,20)s(40,32,28)+s(32,32,20)s(32,48,20)*-s(48,40,12)-
s(32,16,20)s(32,32,28)s(16,40,20)-+s(16,8,12)s(40,48,20)+-
c(24,40,20)s(24,40,20)s(32,32,28)*c(40,48,12)-t(32,48,20)--
t(24,48,28)s(16,24,12)+c(24,48,12)s(40,32,20)s(48,40,20)*++
s(16,40,20)s(48,8,12)s(24,24,28)s(24,40,28)t(48,16,12)+*+*
s(16,48,20)s(40,40,28)s(16,24,20)--t(32,40,20)-c(32,24,20)+
s(40,24,28)s(24,32,28)s(32,24,28)**c(32,32,20)c(32,40,20)**
s(32,48,20)s(32,40,20)*t(24,32,20)s(32,32,12)+c(16,40,12)--
t(40,24,12)s(40,16,12)+s(40,40,28)+c(32,16,12)-s(40,40,12)-
c(40,40,20)c(48,48,12)s(32,32,12)+-c(32,40,20)+c(40,24,12)-
s(40,40,28)t(40,24,12)-t(16,48,12)s(40,24,20)+c(48,24,12)--
s(40,16,20)s(24,32,20)t(32,32,20)*+s(16,16,20)s(40,16,20)+*
c(32,32,28)s(24,16,20)c(32,24,20)+*s(24,32,28)*c(40,24,12)-
t(40,40,20)s(24,24,12)s(48,16,12)++s(24,32,28)s(40,40,20)**
s(40,16,20)t(16,48,12)s(48,48,12)s(32,16,20)++*t(24,56,12)+
s(32,32,20)s(24,16,20)+t(40,32,12)-s(24,40,28)+s(24,48,12)-
s(40,40,28)s(24,16,12)t(32,48,28)+s(16,24,20)c(40,40,20)-+*
t(24,48,28)s(40,40,28)-s(8,16,12)+s(32,48,12)+s(32,48,12)-
s(24,24,28)s(40,24,28)*s(24,24,28)s(24,40,28)-t(40,40,20)+*
t(40,40,20)t(32,24,20)t(32,32,28)s(40,32,28)c(24,40,12)-**-
s(24,32,20)t(32,40,20)+s(24,32,28)c(40,48,12)-s(40,24,28)**
t(40,32,20)s(48,16,20)s(48,32,20)*+t(24,40,20)t(32,24,20)+-
s(8,32,12)t(24,32,28)s(32,40,20)*+s(32,24,20)s(40,40,12)--
s(40,16,20)s(32,16,12)-t(40,40,12)s(40,32,12)s(24,16,12)++-
s(24,40,28)s(32,32,28)t(24,32,28)c(32,24,20)t(32,32,28)-+**
s(24,24,20)c(24,24,20)s(16,32,12)t(48,48,12)+-*t(32,40,20)-
s(24,40,28)s(48,40,20)s(40,48,20)s(40,32,20)*--s(8,48,12)-
s(32,32,28)s(32,16,20)c(48,32,12)s(24,8,12)+--s(40,48,20)*
t(32,40,20)t(32,32,28)s(48,16,12)c(24,40,20)+**c(24,24,12)+
s(16,24,20)s(40,48,20)s(32,40,20)*t(24,40,20)++s(24,32,28)*
t(32,40,28)s(8,16,12)c(40,32,20)+t(40,40,20)--c(24,40,20)*
c(16,40,12)s(48,40,20)c(40,24,12)-+c(32,40,20)c(40,32,20)*+
s(40,32,20)t(48,48,12)+s(16,24,20)c(32,32,28)s(40,24,12)-*+
s(16,48,20)t(32,48,28)t(24,56,12)s(40,32,12)++s(24,40,20)--
t(32,40,28)c(32,40,20)+s(32,48,20)s(48,48,12)+*s(40,40,20)*
s(32,48,20)s(8,40,12)t(48,32,12)s(16,32,12)+t(40,32,12)+++
t(16,24,12)s(24,8,12)t(40,32,20)+s(40,32,20)*c(40,48,12)-+
c(32,32,12)t(40,40,12)s(16,16,20)c(16,48,12)+++s(32,40,20)*
s(24,48,20)s(32,40,20)s(24,16,12)c(24,40,12)+--s(32,32,28)*
s(40,32,20)s(48,16,12)-s(16,40,20)s(16,48,20)*s(32,24,28)+*
s(24,40,20)t(40,24,20)+s(48,16,20)-t(16,16,12)+s(8,8,12)+
t(32,16,12)t(32,40,28)+s(48,24,12)s(40,32,28)s(32,24,20)-+*
s(32,32,28)c(32,40,20)t(32,48,12)-s(24,40,28)+c(24,32,12)-*
c(40,32,20)s(48,8,12)s(16,8,12)c(32,24,12)+c(32,16,12)++*
t(32,40,28)t(40,40,20)*s(48,48,12)+c(24,24,12)+s(24,32,20)*
c(32,32,20)t(48,40,12)s(32,40,20)+t(24,16,12)+t(24,40,28)**
t(24,40,28)t(24,32,28)s(24,40,28)**c(32,24,20)s(40,24,28)*+
c(24,32,20)c(40,48,12)-s(24,16,12)t(48,16,12)+-s(16,16,20)-
c(24,40,20)s(24,24,28)*t(32,48,20)s(24,8,12)++s(16,32,20)*
t(40,32,20)c(32,32,28)s(24,24,28)*+t(24,40,28)t(24,48,12)-*
s(24,32,28)t(32,16,12)-t(40,40,20)+c(48,48,12)-s(8,8,12)+
t(24,24,20)s(48,40,20)s(32,40,12)-+c(40,32,20)s(24,24,12)--
c(40,24,20)s(16,40,20)s(32,24,28)s(24,48,12)c(24,32,12)+*-+
c(32,40,20)s(16,32,20)t(24,48,20)-c(40,24,20)s(48,16,20)--+
c(32,24,20)c(16,24,12)t(40,40,20)+-s(24,16,20)t(48,48,12)++
c(32,24,20)s(40,40,28)s(8,32,12)s(40,40,12)+-t(40,32,20)--
t(32,40,28)t(24,32,28)s(32,24,28)c(40,24,20)t(32,40,20)--*-
c(32,24,12)s(24,16,20)+s(24,32,20)c(40,24,12)-s(40,24,28)++
s(40,16,20)c(24,40,20)s(40,32,28)t(24,32,28)*t(16,40,12)+-+
s(16,16,20)s(32,16,20)+s(32,32,20)c(40,24,20)*t(24,32,20)+*
c(48,16,12)c(16,40,12)c(32,32,20)s(16,16,12)+s(48,24,20)*++
s(24,48,12)c(24,32,20)c(32,40,12)t(32,16,12)s(32,8,12)++-+
c(40,32,20)t(24,48,28)s(48,48,12)s(32,40,12)+-+c(24,32,20)*
s(16,40,20)s(24,24,20)+t(24,32,12)t(48,32,12)+-t(48,24,12)+
s(48,24,20)c(16,40,12)+s(24,40,28)s(40,40,12)-*t(24,24,20)-
c(40,24,20)c(32,32,20)*s(40,32,28)s(48,32,20)s(32,48,20)--*
t(24,32,28)c(32,24,12)c(24,24,12)++t(32,32,12)-c(48,16,12)+
t(32,40,28)s(24,32,20)+s(40,24,28)c(24,40,12)++s(48,16,20)*
t(24,32,20)c(32,32,20)t(24,40,20)s(16,48,12)++s(16,48,12)-*
c(32,40,20)t(32,24,20)c(32,32,20)c(40,24,20)**s(24,48,12)+*
s(40,32,28)t(24,48,20)s(16,8,12)c(48,32,12)t(32,24,12)+++*
t(40,32,20)s(24,40,20)t(40,40,20)-c(48,24,12)+t(32,40,28)*-
s(32,32,20)s(40,40,28)c(24,24,12)s(48,32,20)+*+t(48,40,12)-
s(24,40,28)t(24,48,20)-s(32,24,20)s(40,32,28)t(32,32,28)**-
c(48,32,12)c(32,24,12)t(32,32,20)c(24,32,12)++c(24,24,20)*+
s(8,40,12)s(40,24,12)c(16,48,12)+s(40,48,12)++c(24,48,12)-
c(40,40,20)s(24,40,20)-s(24,24,28)+s(16,24,20)s(32,48,12)+-
s(40,16,12)c(24,24,20)+s(40,32,28)*s(32,24,20)*c(24,32,20)*
t(32,48,28)s(32,40,12)-t(24,40,28)t(32,40,28)s(40,24,28)+*-
s(24,40,28)c(40,40,20)s(8,8,12)t(32,32,20)+s(24,24,20)--*
s(24,24,20)s(16,24,20)*s(24,48,20)-s(32,40,28)+s(24,16,20)*
s(24,32,28)s(16,32,20)s(32,24,20)s(24,24,28)c(24,24,12)----
s(40,32,28)c(24,32,20)*c(32,24,20)c(40,16,12)-*s(48,40,12)+
c(32,32,28)s(24,48,12)-s(32,32,28)s(48,16,12)-*t(32,24,20)*
s(48,24,20)s(24,24,28)+t(32,32,12)-c(32,16,12)-s(24,24,28)*
c(24,24,20)c(40,40,12)t(24,16,12)+c(24,24,12)c(24,32,12)++*
s(40,8,12)c(24,32,20)+t(40,24,20)s(16,40,20)--s(24,48,20)*
s(48,16,20)t(32,56,12)+c(24,40,12)+c(16,24,12)c(32,24,12)+-
s(16,32,20)s(24,48,20)-t(32,32,28)s(24,16,20)t(48,24,12)+*+
c(40,32,20)t(32,32,20)c(32,40,12)+t(24,40,20)+t(40,24,20)--
s(40,24,28)s(24,32,28)s(16,48,20)-*s(32,24,20)s(48,16,12)-*
s(24,24,20)c(32,32,20)s(48,24,12)-*s(48,16,20)+t(32,32,12)-
s(32,24,28)t(16,16,12)-s(40,8,12)t(24,24,20)c(16,40,12)++-
s(16,48,20)t(32,32,12)s(24,48,20)+s(32,16,12)++s(32,24,28)-
s(32,24,20)t(24,24,12)-s(40,40,20)c(32,32,20)*-c(32,32,12)+
s(48,32,20)t(16,32,12)+s(32,40,20)+t(24,40,12)-s(24,40,12)+
s(40,24,28)s(32,32,20)t(40,40,12)-c(48,24,12)--s(24,24,28)*
t(40,24,20)s(40,48,20)-t(24,16,12)+s(40,32,28)s(40,16,20)**
c(16,48,12)s(40,16,12)+s(32,16,20)s(24,40,28)--s(40,32,20)-
s(40,32,20)t(48,24,12)-c(32,16,12)s(16,32,20)c(24,32,20)*+-
c(24,24,20)s(32,40,28)s(16,32,12)s(32,32,12)+-s(40,32,28)-+
c(16,48,12)s(32,24,20)c(32,40,20)*+s(40,16,20)s(32,24,28)*-
c(40,40,20)c(24,24,12)+t(24,32,28)s(40,32,28)s(24,32,28)**-
c(40,40,12)t(40,16,12)+c(24,40,12)+s(40,32,28)s(24,40,20)*-
c(40,32,20)s(24,8,12)t(32,40,28)t(24,48,28)*+-s(24,40,28)-
s(40,48,20)s(40,40,28)c(32,32,20)s(16,48,20)-c(48,16,12)-*-
s(32,48,20)t(32,40,20)c(40,24,12)++s(40,32,20)s(48,48,12)-*
s(32,24,28)s(8,24,12)t(40,48,12)+t(32,32,28)-s(16,24,20)+*
s(48,32,20)s(40,32,20)c(32,24,20)*+c(24,32,12)+s(32,32,28)*
c(40,32,20)c(40,48,12)s(24,40,20)+s(48,40,20)--s(48,16,20)*
s(24,32,20)s(32,24,20)s(32,48,20)s(32,32,28)*-s(48,48,20)+*
t(40,24,20)c(32,40,20)+c(40,32,20)*s(32,16,20)s(48,24,12)--
s(24,16,20)s(40,40,28)c(16,32,12)+t(32,32,12)-s(40,24,20)+*
t(32,48,28)t(32,40,12)-c(32,40,20)s(40,32,28)s(32,24,28)*--
s(40,40,28)s(48,24,20)s(40,24,12)--s(16,24,20)-c(48,24,12)-
s(40,40,28)s(32,16,20)t(32,48,20)s(32,24,20)c(16,32,12)-+*-
s(24,40,28)c(32,32,28)s(24,24,28)-s(48,48,20)*c(24,32,20)+*
c(40,24,20)s(40,24,12)-s(24,40,28)t(24,24,20)s(48,16,20)+--
s(40,32,28)s(32,32,20)c(40,40,20)*-s(40,40,28)t(24,32,28)-*
s(16,48,20)c(40,32,20)-s(48,48,20)c(32,32,28)+c(40,16,12)-*
s(16,24,20)s(40,8,12)s(24,16,20)s(32,32,28)s(40,16,20)*++*
t(24,32,20)t(24,48,28)s(24,32,28)s(24,40,28)+t(32,32,28)**+
s(32,32,28)c(24,16,12)-s(16,32,12)-c(32,40,12)s(24,16,20)+*
s(32,40,28)s(40,48,20)c(16,32,12)+*s(40,32,28)t(24,48,28)*-
c(16,32,12)t(40,48,20)+s(40,32,28)s(24,8,12)+*t(24,48,20)+
s(40,24,28)t(24,32,20)s(16,40,12)+s(48,32,12)+*c(40,24,20)*
s(40,32,28)c(40,40,20)s(24,24,20)t(48,24,12)+s(40,32,20)*++
c(32,16,12)s(40,40,28)t(32,40,28)-+s(32,40,28)t(32,48,28)+*
s(48,32,20)c(16,16,12)c(40,24,12)+t(48,32,12)+s(32,40,20)-+
c(16,40,12)c(32,24,20)c(48,32,12)+c(40,24,12)-+s(48,32,12)-
t(32,48,12)t(24,40,12)c(40,16,12)s(48,24,20)s(32,32,28)*+++
c(40,32,20)c(32,40,20)s(32,48,20)*+s(32,24,20)t(40,16,12)-+
c(40,40,20)t(32,40,28)t(24,32,20)+s(40,8,12)++c(32,32,28)*
t(24,32,28)s(24,32,28)s(24,48,20)t(48,56,12)s(32,8,12)++*+
s(32,40,28)t(32,48,20)-s(32,24,28)+s(24,40,28)*s(24,40,12)-
s(32,32,20)t(24,32,28)s(16,16,12)-*t(40,16,12)t(24,16,12)++
c(24,32,20)c(40,40,20)t(32,40,28)s(24,40,28)t(24,40,12)-**-
s(24,24,28)c(24,32,20)*s(32,24,28)s(32,24,20)t(24,24,20)+--
s(40,40,28)c(48,48,12)-c(40,32,20)s(24,32,20)*-s(16,16,12)+
s(24,24,28)s(24,16,20)s(32,32,28)+*c(24,40,12)-t(24,24,20)*
s(32,24,12)s(24,40,20)+s(24,32,20)s(32,24,20)*-t(24,32,28)+
s(24,32,20)t(24,40,28)t(40,24,20)+s(24,24,28)*s(32,24,12)-*
s(32,24,28)t(40,24,20)s(48,40,12)s(40,8,12)++*s(32,32,20)*
s(48,40,20)c(24,24,20)+c(24,32,20)s(32,16,12)+*t(24,40,28)-
t(40,56,12)c(24,32,12)+s(16,48,20)+s(32,40,20)*c(16,24,12)-
t(24,32,28)s(16,40,20)s(40,24,28)s(8,40,12)+s(32,24,28)+**
s(32,24,20)c(40,32,12)-c(16,16,12)t(48,48,12)+-s(8,8,12)+
s(16,48,20)s(24,32,20)s(24,48,20)*-c(40,16,12)+c(48,16,12)-
t(24,32,20)s(32,16,20)t(24,24,20)-+c(16,16,12)-c(24,24,12)-
s(16,40,12)s(24,32,20)s(32,40,28)*+c(32,40,20)c(16,16,12)+*
t(24,48,28)s(24,40,28)*t(48,40,12)+s(40,24,20)+s(24,32,28)-
s(32,16,20)s(16,24,20)s(16,32,20)*c(24,24,20)*+s(40,16,20)-
s(32,40,28)s(40,8,12)+s(48,24,20)*t(32,32,28)+s(48,40,20)*
s(40,16,20)s(16,24,20)-c(32,32,20)c(24,24,20)s(32,24,20)**-
s(32,16,20)t(16,24,12)c(32,40,12)++s(16,32,12)+s(32,24,28)*
t(24,32,28)t(24,16,12)-c(48,24,12)s(24,24,28)c(40,32,12)-+*
s(40,24,28)t(24,16,12)-s(40,16,20)t(32,24,12)-s(48,24,20)+-
c(32,40,20)s(40,40,28)*s(40,40,20)s(8,8,12)+s(16,40,20)--
t(32,32,28)s(16,40,20)-t(32,40,12)-s(24,24,28)*s(32,8,12)+
c(48,40,12)c(40,24,20)+s(32,16,20)s(32,8,12)--s(32,24,28)*
t(48,24,12)s(24,32,28)c(40,40,20)t(24,16,12)s(32,48,20)++*+
s(24,48,20)c(40,24,20)t(32,32,28)*s(24,40,20)t(32,48,20)---
s(8,8,12)s(40,24,28)t(32,32,28)c(32,32,20)*s(40,16,20)-++
c(32,32,28)t(24,40,28)c(32,24,20)t(24,40,28)t(24,32,28)+*--
s(16,48,20)c(24,40,20)+s(40,24,20)c(16,32,12)+t(16,16,12)++
c(32,16,12)s(16,32,20)t(32,32,28)t(24,48,20)s(16,32,12)+--+
t(16,16,12)s(40,40,20)+c(32,32,28)s(16,24,20)*-t(32,32,20)-
s(24,32,28)t(32,40,28)s(48,40,12)t(32,40,20)++*t(40,32,12)-
t(32,48,20)c(40,40,20)s(24,24,20)-+s(32,40,28)s(32,48,12)-*
c(24,24,20)s(40,24,20)*s(24,40,28)+s(16,16,12)s(16,32,20)+-
s(32,24,28)s(48,40,20)-s(32,16,20)*s(40,32,28)t(48,32,12)-*
s(40,24,20)s(40,32,28)s(40,8,12)s(40,40,28)+**s(32,48,12)+
s(24,24,20)s(8,40,12)+s(48,16,20)t(32,24,12)-c(32,24,12)+-
s(40,24,28)s(40,24,12)-c(48,32,12)c(16,16,12)+s(16,40,20)+*
c(32,32,20)c(40,32,20)t(32,56,12)+s(24,24,28)*-c(40,24,12)-
s(32,16,12)t(24,48,28)c(24,32,20)s(32,24,20)s(40,40,28)+**+
s(48,24,20)c(48,40,12)+s(48,16,20)s(40,40,20)+s(48,32,12)-*
s(48,48,20)t(32,32,28)+s(16,32,12)t(48,16,12)t(32,32,20)++-
s(32,24,20)s(24,32,20)s(40,40,28)s(40,24,28)-+s(24,24,28)**
t(24,40,28)t(32,32,28)s(24,24,28)*s(32,40,28)*-s(24,40,28)*
c(32,48,12)t(32,32,28)c(24,48,12)-t(24,32,28)*+s(8,40,12)+
s(48,8,12)c(32,24,20)s(48,16,20)-+c(32,32,20)s(32,40,20)*-
t(24,48,28)s(16,8,12)+s(40,40,28)t(32,48,12)--s(24,8,12)-
s(48,48,20)s(48,32,20)s(32,32,20)c(24,24,20)c(32,48,12)+*-+
c(24,40,12)t(24,24,20)+s(24,40,20)s(16,32,20)+*t(32,16,12)+
s(16,16,20)c(32,32,28)s(48,16,12)t(24,24,12)+*+s(40,24,28)+
t(48,32,12)t(40,32,12)+s(8,48,12)t(24,32,12)++s(24,32,20)+
s(24,24,28)s(32,24,28)s(48,48,20)t(40,24,12)+t(32,40,28)*-*
c(32,24,20)s(24,24,28)*c(32,32,20)c(40,24,20)**t(24,32,12)-
s(24,24,28)c(32,40,20)*c(48,16,12)+c(16,40,12)-c(40,40,20)*
s(24,32,28)s(24,40,12)-s(32,32,28)+s(32,16,12)s(16,48,20)+-
c(40,24,20)s(32,24,20)t(32,48,12)s(16,32,20)+--s(48,8,12)+
c(40,40,12)s(40,24,20)s(24,32,20)++s(48,48,20)-s(32,40,20)-
c(24,40,20)s(8,40,12)s(48,32,20)+c(40,48,12)s(48,24,20)++*
c(32,40,20)c(24,48,12)t(40,24,12)+t(24,24,20)+t(24,24,20)--
c(40,48,12)s(32,32,28)c(40,40,20)c(32,16,12)+s(16,24,20)-*+
c(32,24,20)s(24,32,12)-s(40,40,20)+t(32,32,12)-t(48,40,12)-
c(32,40,20)t(32,32,12)-c(32,32,28)t(32,40,20)-s(32,24,12)-*
c(40,24,20)s(32,48,20)s(48,48,12)--s(40,40,12)s(16,16,12)++
t(32,32,28)c(32,24,20)t(24,40,20)-s(24,16,20)c(32,40,12)+*-
s(40,24,28)s(32,48,12)+s(48,16,12)-c(40,16,12)+s(24,24,28)*
c(16,24,12)c(32,24,20)s(32,40,20)*+s(40,40,28)c(24,32,20)**
s(48,32,12)s(24,32,20)s(32,48,12)-s(16,40,20)c(24,32,20)**+
c(32,40,20)t(48,40,12)-s(32,16,12)t(40,32,20)+s(40,40,20)*-
s(48,40,20)t(40,48,12)s(16,32,12)++c(32,40,20)c(48,24,12)+-
s(32,48,20)s(40,24,28)s(24,40,28)s(24,24,28)*s(40,40,20)++*
t(32,32,28)s(24,24,20)*s(24,48,12)+s(24,32,28)s(32,24,28)--
s(40,32,28)c(24,32,20)s(16,40,12)-s(24,24,20)*s(48,48,12)++
s(40,24,20)s(16,40,20)t(24,48,28)*s(32,24,28)s(16,24,20)-+*
s(40,24,12)s(24,24,12)c(24,24,20)c(40,24,20)*+t(16,16,12)-+
s(40,40,28)s(32,32,28)t(40,24,20)--s(32,32,28)+t(24,48,28)*
t(32,32,20)c(40,40,20)t(24,32,20)-c(32,32,12)+c(40,32,20)**
s(32,32,20)c(24,32,20)s(16,48,20)-*c(40,48,12)+c(16,24,12)-
c(32,40,20)c(48,48,12)-t(32,40,28)s(40,32,28)s(40,24,28)***
t(32,48,28)t(40,24,12)+s(48,16,20)-c(40,40,20)s(48,40,20)*+
c(32,32,28)t(24,24,20)-s(24,48,20)-c(32,32,12)+s(24,32,20)*
t(40,24,20)t(16,32,12)+t(32,40,12)+s(40,24,12)-s(40,40,28)*
c(24,40,12)t(40,32,20)s(32,16,20)+t(40,24,20)-s(32,40,12)++
t(32,56,12)c(24,40,12)s(8,40,12)+s(48,16,12)+t(24,32,28)*+
c(32,40,20)c(32,32,28)t(24,32,20)-c(40,16,12)-c(40,24,20)-+
s(24,40,28)s(16,40,20)t(32,32,28)s(24,32,20)*-c(48,32,12)+*
t(32,32,28)s(16,48,20)s(32,24,28)s(40,32,20)---t(24,24,20)-
s(32,32,28)s(40,24,28)-s(32,24,20)+c(40,16,12)-s(40,24,28)*
s(24,32,28)s(40,32,20)t(40,16,12)--t(40,48,20)+s(24,32,28)*
t(24,24,20)c(16,40,12)t(48,56,12)++s(24,40,28)*c(24,24,12)-
t(24,32,28)t(40,32,20)-s(24,24,28)*t(40,40,20)+c(16,24,12)-
s(24,40,28)s(40,40,28)s(40,16,20)-t(32,40,12)--s(40,32,20)-
c(24,32,20)s(40,16,20)s(32,24,20)t(32,40,28)*-s(32,32,20)+-
c(32,40,20)s(48,32,20)c(40,40,20)s(24,32,20)s(40,32,20)+***
s(40,48,12)s(40,16,20)+s(40,32,20)-s(48,40,12)+t(40,24,20)+
s(32,24,20)s(32,32,28)s(32,24,28)*s(16,24,20)t(24,40,20)+*+
t(24,48,28)s(40,32,28)s(40,24,20)s(24,48,20)+s(16,48,20)---
s(24,48,20)s(16,40,12)-s(40,24,20)s(32,8,12)-t(16,16,12)+-
s(48,24,20)c(32,24,20)*c(24,16,12)c(40,40,20)c(48,24,12)++*
c(40,40,20)c(40,24,20)*s(40,40,28)c(24,40,12)-*s(48,24,12)+
s(32,24,12)s(48,48,20)s(32,16,20)s(16,24,12)+c(32,48,12)+-+
s(16,48,20)t(24,40,28)*s(32,24,20)s(32,40,20)*-t(48,16,12)+
s(32,24,20)s(48,16,20)c(32,32,28)*c(32,24,20)*-s(16,40,12)-
s(24,32,20)t(32,16,12)s(32,48,12)+t(24,40,20)s(24,32,20)*-+
s(8,24,12)s(32,24,20)s(32,40,12)++s(32,40,20)-c(24,24,20)*
s(48,32,20)s(32,24,20)t(24,32,28)c(24,24,20)*s(40,48,20)--+
c(32,24,12)t(40,56,12)s(40,32,28)t(48,16,12)-s(24,40,28)*++
c(32,32,20)s(32,48,20)*s(40,16,20)t(24,24,12)++t(48,16,12)-
c(24,24,20)c(32,24,20)c(24,24,12)-*c(32,24,12)+t(32,40,28)*
s(16,48,20)c(24,48,12)s(32,24,28)s(48,32,20)*t(48,16,12)-+-
c(32,24,20)c(24,32,20)t(24,40,12)-*s(32,40,28)t(48,48,12)-*
c(32,24,20)c(32,32,28)c(32,48,12)-c(16,24,12)-t(40,40,20)--
c(32,40,20)s(48,40,12)t(24,56,12)t(16,16,12)++s(24,32,20)--
t(24,40,28)c(40,40,20)s(32,32,28)s(16,16,20)+**s(8,32,12)+
s(32,32,28)s(32,16,20)c(32,24,20)c(24,40,20)*-s(16,40,20)+*
s(8,8,12)s(32,40,28)+s(24,40,28)*c(32,32,20)*t(16,32,12)-
t(32,32,20)s(16,24,20)t(40,24,20)++s(32,16,20)t(32,40,28)-*
s(48,40,12)t(32,40,12)c(16,48,12)s(32,8,12)+++s(32,8,12)-
s(24,24,20)s(40,32,20)t(32,16,12)t(24,48,20)+s(24,32,12)-+*
s(8,8,12)s(16,24,20)+s(16,40,20)t(32,32,20)+t(24,48,28)*+
s(24,24,20)t(48,16,12)+s(16,16,20)-t(32,40,12)-t(32,56,12)+
s(32,32,28)c(24,40,20)s(32,32,28)*s(40,16,12)+c(32,40,12)-*
c(32,32,20)s(40,40,28)t(32,40,28)t(24,40,28)*s(24,40,20)***
s(32,48,12)c(16,48,12)+s(32,32,20)s(32,40,20)*c(48,32,12)+-
t(24,32,28)s(24,32,20)c(16,24,12)+*s(16,32,20)*s(16,40,20)*
c(48,24,12)t(40,24,20)+c(40,32,20)*t(40,56,12)+s(24,16,12)+
t(24,24,12)t(24,48,20)+s(24,32,28)s(40,16,20)-c(24,40,20)**
c(32,32,20)s(40,40,20)*c(24,24,12)-s(48,24,20)+s(24,24,28)*
s(40,32,28)s(40,24,28)t(40,56,12)s(48,8,12)+-*s(48,40,20)*
c(24,24,20)c(24,32,20)t(48,24,12)+*s(24,40,28)t(32,24,12)-*
t(32,32,28)c(24,24,20)s(16,16,20)++t(32,40,20)*s(24,24,20)+
c(32,24,20)s(32,32,28)s(8,24,12)t(48,32,12)+-s(16,24,12)--
c(40,48,12)t(24,32,20)+c(32,40,12)c(24,24,12)+t(32,32,20)*-
s(32,16,12)s(40,48,20)s(16,32,20)+s(32,24,20)-+t(24,24,20)-
c(24,40,20)c(24,32,20)*t(32,40,28)t(24,32,20)--t(32,40,12)+
s(40,24,28)t(40,32,20)s(48,24,20)c(24,40,20)-s(24,32,28)---
s(16,16,20)s(24,32,28)s(32,32,28)*s(40,40,28)*+s(32,32,20)+
s(40,40,28)t(32,24,20)-t(32,48,20)-c(32,32,12)+c(32,40,20)-
c(40,32,20)s(40,24,28)s(40,40,12)-c(24,32,20)*-c(40,48,12)-
s(40,32,12)s(16,32,20)t(32,24,20)t(48,32,12)t(16,40,12)+--+
t(24,40,12)c(24,40,20)s(32,40,12)-+c(24,24,20)-s(24,16,20)+
c(24,24,20)s(16,24,20)s(32,40,20)t(24,48,20)t(40,24,20)+*-*
s(40,32,20)s(32,48,20)c(40,24,20)+s(40,16,20)**c(24,16,12)+
s(48,24,12)c(16,48,12)+t(32,24,20)+s(48,40,20)-c(40,24,20)-
t(48,32,12)t(16,56,12)+s(32,32,28)+s(48,32,20)-s(32,40,12)-
c(32,32,28)s(40,40,20)t(32,32,28)+t(24,40,28)+t(16,40,12)--
s(32,32,28)s(24,24,28)*c(32,24,20)s(16,32,20)*-s(24,24,12)-
t(24,40,28)c(32,40,20)c(24,32,20)*s(32,24,28)*-s(48,48,12)-
s(16,8,12)t(48,56,12)+t(24,32,12)c(48,48,12)++c(24,32,20)-
t(48,40,12)s(24,24,28)+c(32,24,20)*t(24,24,12)t(24,48,28)+*
t(32,40,28)s(24,40,28)c(24,24,12)-s(32,40,20)-s(32,32,28)-+
c(32,24,12)s(8,24,12)+t(24,24,20)+s(32,48,20)s(40,32,20)-+
t(32,48,20)s(40,32,28)t(24,56,12)s(40,40,20)++s(24,40,28)**
s(16,48,12)s(48,40,20)c(40,24,20)c(24,32,12)--+s(48,8,12)+
s(8,32,12)s(48,48,20)s(40,16,12)t(32,32,12)+++s(40,48,20)+
s(40,40,20)c(40,32,20)s(32,16,12)-*t(32,32,20)s(24,40,28)*-
s(48,40,20)s(24,32,12)+s(40,32,28)s(32,24,20)*s(32,40,28)*-
c(32,24,12)t(32,32,28)s(48,40,20)-+s(32,24,28)*c(32,40,20)+
c(40,32,20)t(40,24,20)t(32,56,12)+t(16,16,12)+*t(24,40,28)-
c(32,40,12)t(32,48,28)s(40,8,12)+c(40,32,12)-+s(32,32,28)*
s(40,16,20)t(32,16,12)s(32,48,20)+-s(16,24,12)+s(32,16,20)*
c(32,32,20)s(40,32,28)s(48,24,20)s(40,16,20)*-*s(40,40,20)*
t(24,16,12)c(32,24,20)c(24,40,20)*t(24,40,20)++t(32,48,28)+
s(48,32,12)s(48,40,12)t(24,32,28)s(32,24,28)*s(32,40,20)*++
s(40,40,28)s(48,40,12)-s(48,32,20)s(24,32,28)s(16,48,20)-+*
s(32,16,20)s(24,24,20)c(48,24,12)++s(40,16,20)t(32,48,12)+*
s(24,32,28)s(24,40,28)s(24,24,28)t(32,32,12)-*t(40,40,20)--
c(32,32,28)t(32,48,28)*t(24,32,28)s(32,40,20)s(40,24,20)-+*
s(32,40,28)c(48,24,12)-t(24,48,20)t(24,40,28)+t(32,56,12)-*
c(32,40,20)c(40,24,20)+c(24,32,20)t(16,24,12)c(32,24,12)+-*
s(32,24,20)t(24,40,28)+s(40,40,20)t(24,40,12)-t(32,40,28)**
s(32,32,12)c(32,32,28)s(24,40,28)s(40,24,28)*c(40,16,12)--+
s(32,24,20)s(24,32,28)*s(32,48,20)-c(40,40,12)+t(32,32,12)-
c(40,32,20)s(48,48,20)s(48,40,20)*-c(32,32,20)+s(16,32,20)*
c(24,32,20)s(24,16,12)s(40,40,20)+t(24,24,20)+s(24,24,20)**
t(48,16,12)t(24,48,12)t(32,32,28)s(24,48,12)-++s(48,32,20)*
c(16,40,12)s(40,32,20)t(32,40,28)*+c(40,32,12)t(48,24,12)++
s(24,40,12)s(32,16,20)s(16,8,12)++s(48,40,20)s(32,24,20)++
c(40,24,12)t(16,48,12)+s(24,32,28)s(48,24,20)+s(24,32,28)--
t(24,48,28)t(48,32,12)+c(32,48,12)s(48,24,20)t(24,32,12)++-
c(24,40,20)s(32,32,28)c(32,48,12)s(24,24,12)+**t(32,16,12)+
s(48,24,12)t(16,24,12)c(24,32,12)+c(32,32,20)*+s(16,48,20)-
c(40,40,20)s(24,24,28)s(24,40,20)-s(48,40,20)+c(24,24,20)*-
s(48,40,20)t(24,40,28)-t(48,48,12)s(40,24,28)+*s(32,16,20)-
s(32,8,12)s(32,40,20)c(40,32,20)c(16,32,12)+s(16,48,20)-++
s(24,24,20)s(48,40,20)c(40,48,12)+s(40,32,20)*+t(40,24,20)-
c(40,24,20)s(24,24,20)t(24,32,28)+*c(16,24,12)-t(32,40,12)+
s(24,32,28)t(16,32,12)-t(32,48,28)-s(24,32,28)s(8,32,12)-*
c(24,40,20)s(40,40,12)t(40,32,20)+t(24,48,28)+s(32,32,20)**
s(24,24,20)s(24,32,20)+t(32,40,28)+c(40,32,12)-s(24,8,12)+
s(48,16,20)s(8,16,12)s(40,40,20)s(48,24,20)s(48,32,20)*++-
s(32,16,20)s(32,40,28)s(40,32,20)s(24,24,28)*-s(24,32,28)+*
t(24,48,20)c(40,40,20)s(24,40,20)*+s(24,24,20)c(24,32,20)*-
t(32,48,28)s(40,32,20)c(24,16,12)+s(16,48,12)s(48,32,20)+*-
s(32,40,28)s(40,24,28)s(40,8,12)-t(48,40,12)s(32,16,20)+**
s(32,32,20)s(40,40,28)c(32,40,20)*s(24,40,20)+*c(40,32,20)*
s(32,24,28)s(40,24,12)t(40,32,20)t(32,48,12)++*t(32,48,20)-
s(24,40,28)t(24,32,28)*c(48,40,12)+c(24,40,20)*s(48,40,20)-
s(32,32,20)s(40,40,20)t(24,32,28)--c(24,40,20)s(32,24,28)**
t(24,40,28)s(32,24,28)s(24,40,20)c(32,40,20)**-c(16,40,12)-
s(40,48,20)t(32,32,28)t(24,56,12)c(32,16,12)+t(24,32,28)---
c(32,40,20)c(24,24,20)s(32,32,20)-+c(32,32,20)+c(24,40,20)-
c(48,40,12)t(40,40,12)+c(32,24,20)t(40,48,20)--s(48,24,20)+
t(32,32,28)c(48,40,12)s(24,32,28)s(40,24,20)*t(48,48,12)++-
c(40,24,12)t(24,24,12)s(48,32,12)++s(40,32,20)*s(32,32,20)*
c(32,40,20)c(16,48,12)-t(40,16,12)s(40,16,20)s(48,16,12)-+-
s(24,32,28)t(40,24,20)s(16,32,12)+t(24,40,12)+s(32,32,20)-+
c(40,24,20)s(40,24,20)s(48,32,20)*s(24,48,20)+t(24,32,20)+*
t(32,32,28)s(16,32,12)-s(16,16,20)c(40,40,20)s(48,24,20)-+-
t(32,40,20)c(40,40,12)s(16,16,12)+s(24,8,12)-s(32,32,12)+*
c(32,40,12)s(16,16,12)+c(40,32,20)t(40,32,12)-t(24,40,12)-+
t(24,48,28)c(40,40,12)+c(24,24,20)c(40,32,12)-+s(32,48,20)-
s(16,32,20)c(24,32,20)c(40,16,12)-c(32,32,12)-*c(48,16,12)+
s(40,24,28)t(32,32,28)-t(40,40,20)s(32,24,28)s(16,40,12)-++
c(40,40,20)c(24,40,20)c(32,40,20)s(24,24,12)-*-s(32,40,28)*
s(24,32,28)s(40,40,12)-s(40,32,28)s(24,40,28)c(40,40,20)**-
c(32,32,12)c(32,24,20)s(16,40,20)-+s(32,40,20)t(32,32,28)**
t(32,40,28)t(24,40,28)c(32,16,12)s(24,40,12)+*-t(48,40,12)-
c(40,40,20)t(24,48,28)t(24,16,12)+s(16,48,12)t(24,32,28)+*-
s(32,24,28)s(24,40,28)s(8,32,12)c(40,40,12)+t(24,32,12)+**
s(24,40,28)c(48,32,12)t(24,48,28)t(32,40,20)+s(40,48,20)++*
s(40,32,28)s(32,40,20)s(48,24,12)s(16,24,20)s(8,16,12)-+-*
c(16,16,12)s(16,24,12)s(40,24,20)c(32,24,12)-++t(16,16,12)-
c(32,24,12)c(48,32,12)+s(32,40,12)-s(8,40,12)+c(40,40,20)*
s(24,48,20)s(24,24,20)+s(32,24,20)c(24,40,20)*s(16,40,20)+*
c(40,40,20)s(24,40,28)*s(24,16,20)s(24,8,12)s(40,24,12)+++
c(40,40,20)s(32,48,12)t(32,24,20)+s(40,32,20)t(24,32,28)-+*
s(32,40,20)s(40,32,28)c(24,40,20)+c(24,24,20)s(8,8,12)+*+
s(24,16,20)s(32,40,28)c(40,40,20)*s(40,24,28)*-s(24,24,28)*
c(24,40,20)s(32,40,20)*t(32,24,20)s(32,32,20)*s(24,24,12)+-
s(24,32,20)c(40,40,20)-s(48,48,20)t(40,32,12)-+t(32,40,28)-
c(32,32,28)s(40,16,12)t(32,24,12)+-s(40,24,28)c(32,40,20)++
s(32,48,20)t(40,16,12)+s(24,24,20)-t(32,48,20)+t(24,40,12)-
s(40,40,20)t(24,24,12)t(40,32,20)s(48,24,20)s(48,32,20)*+++
t(32,32,28)t(48,24,12)+t(32,40,28)s(24,40,28)*+s(16,48,20)*
s(40,24,28)s(48,16,20)t(40,24,20)--t(16,16,12)+s(24,40,12)-
t(32,48,20)s(24,32,20)+c(32,32,28)s(16,32,20)--c(32,24,20)*
s(32,40,20)s(40,24,20)s(16,24,20)--s(24,48,20)*s(32,40,12)+
c(32,24,20)c(40,32,12)-s(24,32,28)*t(24,32,28)s(24,24,28)**
c(40,40,20)c(24,40,20)s(24,24,12)c(40,32,20)+t(24,40,28)-+*
c(40,32,12)t(32,40,28)c(32,48,12)s(16,16,20)+*+s(24,40,12)+
s(16,40,20)s(24,48,12)-s(24,48,12)s(40,24,28)t(40,24,12)-+-
t(24,32,28)s(32,24,28)s(40,16,20)+c(40,32,20)c(24,48,12)+**
s(32,40,20)c(32,32,20)*c(32,32,20)t(40,48,20)s(16,32,20)+**
t(48,56,12)s(32,32,20)s(8,8,12)t(24,48,20)++s(24,16,20)*+
c(24,48,12)t(32,48,20)+t(24,48,28)*s(8,48,12)+c(32,24,20)-
t(32,40,28)s(24,48,20)t(40,40,20)-t(24,40,12)-+s(32,40,20)-
t(24,48,28)c(40,32,20)s(24,32,28)s(16,24,20)*-s(40,40,20)*+
s(24,48,20)t(16,40,12)s(32,40,20)+*t(32,40,28)s(48,40,20)*-
t(32,48,28)t(40,40,20)-c(32,24,20)t(40,56,12)+s(32,40,28)+*
c(32,16,12)c(32,40,12)s(16,48,12)s(48,16,12)++c(48,16,12)-+
s(24,24,28)t(32,40,28)s(32,24,20)*c(40,24,12)+*s(48,8,12)+
s(32,24,20)c(40,32,12)+s(24,48,20)t(32,48,28)c(40,32,20)-*+
t(24,32,28)s(32,48,20)+s(16,16,20)+s(32,48,20)-t(32,24,12)-
c(48,24,12)c(40,32,20)t(16,40,12)+s(24,32,20)s(16,16,12)-*+
s(16,40,20)s(16,48,20)+s(8,8,12)t(32,32,28)t(40,32,20)-++
c(32,32,20)t(48,40,12)t(24,40,20)+c(24,40,20)*c(24,32,20)**
c(32,48,12)c(40,24,20)t(40,32,12)-+c(40,24,20)s(40,40,28)*+
s(40,16,20)s(16,32,20)+s(32,24,28)*s(32,32,20)*t(32,56,12)+
t(32,48,28)s(40,48,12)-s(24,16,12)+c(32,32,20)s(24,32,28)**
s(32,48,20)s(32,24,28)t(24,48,20)+c(24,24,12)-*s(48,24,20)+
s(40,40,20)t(40,40,12)s(8,8,12)t(32,24,12)++s(24,48,20)+*
s(40,40,28)s(32,32,20)s(40,16,20)c(48,16,12)---s(32,48,20)-
s(32,24,28)s(32,16,20)c(48,40,12)s(16,16,20)++s(40,32,20)**
s(32,32,20)s(24,48,12)+s(16,24,12)-s(24,24,12)-c(48,24,12)-
c(40,24,20)c(24,24,20)t(24,48,28)s(48,16,20)+*c(24,16,12)+-
c(32,16,12)c(24,40,20)t(32,32,20)*s(48,32,20)s(48,24,20)*++
s(24,8,12)t(32,32,20)s(48,16,20)t(40,56,12)+c(40,24,20)*-+
s(32,32,28)s(24,48,12)c(24,24,20)+t(24,32,28)t(40,40,20)--*
c(32,32,20)c(32,32,28)t(32,40,20)s(48,48,12)--*s(24,32,12)+
s(32,48,20)s(16,48,20)t(24,48,20)t(40,16,12)+*-t(24,24,20)+
t(32,40,28)s(32,24,20)c(32,40,12)-c(32,24,20)s(40,32,20)*+*
t(32,32,28)t(48,56,12)c(40,16,12)s(40,40,12)++-c(40,40,12)-
t(24,40,28)c(48,32,12)+s(48,48,20)s(16,24,12)s(32,48,12)++-
c(16,40,12)s(48,32,20)s(40,40,20)s(32,48,20)*-+s(40,24,20)-
s(48,40,20)t(40,24,20)-s(40,40,28)s(24,24,28)*t(24,40,12)+-
s(40,32,20)c(16,16,12)+s(16,40,12)+s(48,32,20)-c(24,16,12)-
c(48,48,12)s(40,16,20)c(24,24,20)++s(24,8,12)s(24,40,20)+-
t(32,32,28)c(32,40,20)t(24,48,20)*t(32,32,20)++s(40,32,28)*
s(48,16,20)t(24,40,28)+s(48,32,20)c(32,40,20)t(32,48,28)*--
s(48,32,20)s(24,32,28)s(40,24,12)--t(24,40,12)+c(40,24,20)*
s(24,40,28)t(16,16,12)c(40,24,12)+-s(40,32,20)+t(40,24,20)*
s(32,40,12)s(40,48,12)t(16,32,12)++s(40,40,20)+s(48,24,12)+
s(24,32,20)s(32,32,28)s(24,32,28)s(16,32,12)-*s(40,16,20)+*
t(24,32,28)s(16,24,20)-s(48,32,20)t(24,40,28)t(24,32,12)---
s(16,16,20)t(32,32,20)c(24,24,20)*+c(24,16,12)s(48,24,12)+*
s(16,24,20)c(24,24,20)t(24,32,28)t(40,40,20)-s(24,32,20)***
t(40,16,12)t(24,24,12)s(8,40,12)++t(16,40,12)-t(32,24,12)+
s(16,48,20)s(24,48,20)*s(48,16,12)+s(24,40,20)c(24,32,20)+*
s(48,16,12)s(32,16,20)s(32,40,20)c(40,40,20)*-+s(24,16,12)-
c(24,24,20)s(24,40,12)-s(48,16,20)s(32,32,28)c(24,24,20)*-+
s(24,40,20)t(32,24,20)c(24,48,12)+s(8,8,12)+c(40,24,20)-+
s(16,8,12)s(32,32,12)s(16,24,20)++s(24,40,20)s(32,24,28)*-
c(32,40,20)s(24,24,12)+s(48,8,12)s(8,32,12)++s(48,48,20)*
c(24,48,12)s(40,48,12)c(24,24,12)+t(16,24,12)-s(32,16,12)-+
t(32,48,12)s(24,32,20)+t(32,40,28)s(32,8,12)+*t(16,32,12)+
t(32,32,20)t(48,40,12)+t(24,48,20)+c(40,40,12)t(24,48,28)+*
t(40,24,20)t(32,40,20)s(8,40,12)+s(48,40,20)t(40,40,20)*--
t(32,32,20)s(40,8,12)+s(8,40,12)s(48,32,20)s(24,40,12)++*
s(16,16,20)s(24,24,20)c(40,40,20)+t(24,32,28)--s(24,32,20)-
c(32,32,28)s(32,32,20)t(16,56,12)t(48,56,12)++s(24,32,28)+*
c(24,40,20)s(40,8,12)c(40,16,12)++s(32,24,28)*t(24,40,28)*
s(32,24,20)c(32,40,20)c(32,32,20)*+s(16,8,12)+c(48,16,12)-
s(24,32,20)s(32,24,20)+s(48,32,12)+s(24,32,12)-s(40,16,12)-
t(32,40,28)t(32,32,28)s(48,32,12)+t(40,32,12)-*t(32,48,12)+
s(48,24,12)s(40,8,12)s(16,48,20)s(16,24,12)++s(40,48,20)-+
s(40,16,20)s(40,16,20)s(24,32,20)-s(32,32,28)s(24,24,20)---
t(32,48,28)s(32,40,28)*t(24,48,28)*t(24,56,12)-c(16,48,12)+
s(40,40,28)s(40,48,20)s(40,32,20)s(32,40,28)*-*s(16,32,20)+
s(24,32,28)c(40,32,20)t(24,40,28)+s(32,40,28)**t(32,32,20)*
s(40,24,28)c(24,32,20)s(24,24,12)-+c(40,40,20)*s(48,24,20)+
s(40,24,20)s(32,32,28)s(32,24,28)*s(24,48,20)-s(40,24,28)**
c(32,24,20)s(8,40,12)s(40,16,20)c(48,32,12)++s(32,16,12)-*
s(8,40,12)c(48,40,12)c(24,24,12)++t(24,40,28)*s(24,48,12)+
c(24,16,12)s(40,24,20)+s(24,48,12)c(32,24,12)+c(24,48,12)+*
s(40,16,20)s(48,40,20)t(40,48,12)--c(40,24,20)+s(32,40,20)-
s(40,16,20)t(24,40,28)s(40,24,28)*c(32,48,12)+-c(32,32,20)-
c(24,24,20)s(24,32,28)+t(24,48,28)*s(24,32,20)*c(40,48,12)+
c(40,32,20)c(32,32,20)s(24,24,28)t(48,32,12)t(40,24,20)+*-*
s(32,8,12)t(32,48,20)s(40,40,28)s(32,24,20)*-+t(32,40,20)+
s(40,32,28)s(32,16,12)s(48,24,20)+*t(40,48,12)s(48,16,12)+-
c(32,32,20)s(16,40,12)-s(40,40,28)s(24,40,20)*c(16,48,12)--
s(32,24,20)s(40,16,20)s(32,24,12)--s(40,32,28)c(24,32,20)**
s(40,48,20)s(40,32,20)*s(16,32,12)+c(40,40,12)-t(16,24,12)+
s(40,24,28)c(24,40,12)t(40,24,20)t(32,24,20)++s(32,48,12)-*
c(32,32,28)s(24,48,12)-s(40,16,20)t(16,48,12)+*s(48,48,20)+
s(16,40,12)c(32,32,20)s(16,32,20)-s(40,40,20)s(48,8,12)+*+
c(40,48,12)c(24,32,12)s(8,40,12)++c(32,48,12)s(8,32,12)+-
t(32,56,12)c(40,40,12)+t(48,16,12)+s(40,40,20)*s(40,32,12)+
t(32,48,28)t(16,40,12)+s(24,16,20)+s(24,40,12)-s(16,16,20)-
t(32,48,20)t(24,48,28)s(48,48,20)s(24,40,28)+s(48,32,20)-**
t(24,40,28)s(32,24,20)s(24,40,28)*+t(40,24,12)-s(40,40,20)-
c(24,32,20)s(32,32,28)t(32,40,28)c(48,40,12)+c(40,32,20)***
c(24,24,20)t(32,32,28)s(24,32,28)**c(40,32,20)s(16,8,12)+*
s(16,32,20)c(16,48,12)s(40,8,12)++s(48,48,12)+t(24,24,20)-
s(40,24,28)s(16,40,20)-s(40,40,20)c(24,32,20)*+s(32,32,20)+
t(24,48,28)s(24,32,28)c(40,24,20)t(24,40,12)+-c(40,40,20)+*
c(24,24,20)s(48,40,20)+s(24,40,20)s(40,40,28)*-s(40,24,28)-
s(48,24,20)s(32,16,20)s(32,24,20)*s(8,48,12)++c(40,40,12)-
s(24,40,28)s(40,40,28)s(40,32,20)s(48,48,12)-c(16,16,12)+**
s(16,48,12)s(32,32,20)+s(16,32,20)s(24,24,28)*-c(16,48,12)-
c(32,24,20)s(40,24,12)s(48,40,12)+-t(40,16,12)s(8,32,12)+-
s(32,8,12)s(24,40,28)c(40,40,12)-s(32,48,20)-c(24,40,20)*+
c(24,24,20)c(16,24,12)t(48,32,12)t(40,56,12)++*t(24,16,12)+
s(40,40,28)s(32,40,28)t(16,48,12)-c(32,40,20)*s(24,40,12)--
t(16,40,12)c(24,16,12)s(48,16,12)++c(40,48,12)+t(40,40,20)-
c(40,24,20)s(32,40,20)t(32,32,20)*c(32,32,20)s(24,48,20)*++
s(48,24,12)s(40,8,12)+s(40,32,20)+c(24,16,12)+s(24,32,28)*
t(24,48,28)t(40,48,12)c(32,32,12)++t(24,40,12)-t(48,48,12)+
t(40,16,12)c(40,24,12)+c(40,32,12)+c(24,24,20)+s(24,40,20)-
t(32,56,12)s(32,16,20)+s(40,40,20)t(32,48,28)*s(24,32,12)+-
t(32,24,20)s(24,32,28)c(24,40,20)t(32,48,12)-c(48,24,12)+--
s(24,16,12)t(40,24,12)s(16,48,20)t(32,40,28)t(24,32,28)*-++
t(16,40,12)s(40,48,20)c(24,24,20)-c(24,48,12)s(40,40,20)+*+
s(24,48,20)t(40,40,20)t(24,32,28)+s(16,48,12)t(24,40,20)++*
s(16,16,20)s(24,40,28)c(32,24,20)s(24,24,20)+*c(32,48,12)--
c(16,16,12)s(24,32,28)t(32,40,12)-s(24,24,20)*s(24,48,12)++
s(24,32,28)c(24,32,20)t(32,48,28)*s(16,16,20)+*t(24,24,20)*
c(48,16,12)c(24,24,20)s(24,32,20)*s(48,48,20)t(32,48,12)+++
s(32,40,12)s(48,24,12)c(40,40,12)+s(24,40,20)+s(48,24,20)*+
t(40,40,20)s(40,24,28)s(40,32,28)*c(24,40,12)++t(24,32,28)*
s(32,24,28)c(32,32,20)*c(24,24,20)c(32,24,12)--t(40,48,20)-
t(48,32,12)s(8,48,12)+t(40,40,20)t(32,48,12)-+c(48,24,12)-
c(40,24,12)c(16,32,12)+s(24,32,20)+s(32,24,28)t(40,40,20)-*
s(24,24,20)t(32,48,12)+t(24,40,12)-t(16,40,12)+t(24,24,12)-
s(40,24,28)c(32,32,28)*s(24,40,28)t(16,16,12)t(48,48,12)++-
t(24,48,28)c(24,24,12)-s(32,40,28)t(24,32,28)*t(40,32,12)-+
c(24,16,12)s(32,32,28)s(24,40,20)-+t(24,48,20)c(32,32,12)+-
s(32,48,20)s(24,40,20)c(24,40,12)s(48,24,12)+*c(24,48,12)+*
s(32,16,20)s(32,24,20)c(40,24,20)*+s(48,16,20)c(32,32,28)*-
t(24,40,28)c(48,48,12)+t(32,48,28)*s(32,32,28)c(16,48,12)-*
c(32,32,20)c(40,32,20)t(24,48,28)-+c(32,24,12)-s(16,24,20)-
t(40,16,12)s(40,32,20)t(32,24,20)c(40,40,12)--+t(40,48,20)+
s(24,8,12)s(40,40,28)s(40,24,12)-s(40,24,28)c(48,16,12)--+
s(24,32,28)s(32,24,28)t(24,48,20)+s(24,24,28)*c(32,40,12)--
c(16,48,12)s(24,16,20)t(32,32,12)c(40,24,12)+-+s(24,16,20)*
s(16,16,20)s(32,24,28)s(40,40,12)t(48,32,12)+-t(24,48,20)-*
s(32,40,20)c(32,48,12)-t(24,32,20)+s(32,40,28)c(24,24,20)**
c(24,24,20)s(16,40,20)-s(48,32,20)+t(48,40,12)-t(48,24,12)-
c(24,48,12)s(16,32,20)t(24,32,12)-+s(40,16,12)+c(32,32,20)+
s(24,40,28)t(40,48,20)s(48,32,12)+s(32,32,28)c(16,24,12)-+*
c(32,32,28)s(32,24,28)c(48,24,12)-s(32,32,20)--s(16,24,20)*
s(40,16,20)c(40,24,20)s(32,48,20)-*t(24,16,12)-t(32,48,28)-
c(32,48,12)c(32,16,12)t(40,48,20)++t(24,40,20)+s(40,16,20)*
t(40,48,20)s(48,48,20)c(32,24,20)-t(40,32,12)+*s(24,40,28)+
s(40,32,28)s(32,24,20)s(40,40,12)+c(40,40,12)-c(40,24,20)+*
t(32,40,20)t(40,40,20)t(32,24,20)+s(24,32,12)-t(24,40,28)--
s(48,48,12)s(32,24,28)+s(48,48,20)*t(32,32,12)+t(32,32,28)+
s(24,40,20)s(24,16,20)s(32,32,28)*+c(24,24,20)t(24,40,20)-*
s(40,24,28)s(32,24,28)*t(40,32,12)-c(40,40,20)t(32,40,12)--
s(16,32,20)s(40,32,20)s(32,24,28)*c(32,40,20)*s(32,16,12)-+
c(16,48,12)t(40,32,12)+s(24,32,20)s(8,32,12)-t(24,40,20)*+
c(40,24,12)t(16,16,12)+s(40,32,28)*c(16,40,12)+t(16,16,12)+
s(32,24,28)s(48,8,12)-s(40,24,28)c(40,32,20)*-c(24,32,12)-
c(32,32,20)s(24,32,12)-c(32,24,20)*s(16,16,20)+s(40,48,20)-
c(32,48,12)s(24,32,20)t(32,32,28)s(40,40,20)-s(32,48,20)--+
c(16,24,12)s(48,8,12)s(48,40,20)+c(48,40,12)s(24,40,20)+*+
c(32,24,20)c(40,40,20)s(24,40,28)c(40,24,12)+s(40,48,12)-**
c(32,24,20)s(16,40,20)-t(32,48,20)s(40,8,12)+c(32,40,20)*+
s(32,40,28)s(32,24,12)-t(32,56,12)-s(16,24,20)c(32,48,12)+-
t(24,40,12)t(40,32,12)+s(40,48,12)s(32,40,12)++s(32,24,28)*
s(48,32,20)s(16,24,20)s(24,24,28)c(16,32,12)-+s(16,16,12)--
c(24,32,20)t(40,56,12)t(40,16,12)+c(40,32,12)+-s(24,32,20)*
t(24,24,20)s(32,40,20)s(48,40,20)c(40,32,20)+++s(24,40,20)*
s(32,32,28)t(24,40,20)-s(48,32,20)c(32,24,20)--s(48,32,12)-
c(24,40,20)c(24,24,20)c(24,24,20)s(40,24,20)+t(16,32,12)-**
s(32,40,20)c(32,32,12)t(32,48,20)+*s(24,32,28)s(32,40,20)*+
s(24,32,20)t(40,24,20)s(16,32,20)-c(48,40,12)t(24,24,20)++*
s(40,24,12)s(48,32,12)t(48,48,12)++c(32,32,20)c(24,32,20)*-
s(16,16,20)t(32,32,20)s(32,40,20)*s(48,40,20)++t(24,24,20)*
s(32,24,28)s(40,8,12)s(40,32,20)s(24,32,20)-+s(32,32,20)+*
s(48,48,20)c(40,32,20)t(24,16,12)+*c(48,24,12)+s(40,40,20)*
c(32,24,20)t(32,48,20)-s(40,32,28)t(16,48,12)++s(32,24,20)-
s(32,48,20)s(32,32,28)*s(16,32,20)s(24,24,20)*s(40,16,12)+-
c(40,32,12)s(32,40,28)s(40,48,20)*s(24,24,20)-c(32,40,20)*+
c(32,24,20)t(32,16,12)s(8,40,12)++s(40,40,28)t(24,48,28)+-
c(24,24,20)t(32,32,28)c(32,32,20)s(32,24,20)s(16,16,20)+*--
t(24,40,28)s(40,32,20)s(40,16,20)-s(8,16,12)+s(32,24,20)+*
s(40,32,28)c(32,24,12)t(32,32,12)+-s(16,48,20)+s(40,32,20)+
c(24,32,20)s(40,40,28)c(24,40,20)*-s(24,40,28)t(24,40,12)-*
s(40,40,28)c(16,24,12)c(40,24,20)s(40,24,20)t(32,40,28)--+*
s(16,24,20)s(32,32,28)*c(40,24,20)s(24,24,28)*t(40,48,20)-+
t(32,48,28)s(24,48,20)s(32,24,28)s(8,8,12)+-s(40,24,28)+*
s(48,40,20)s(32,16,20)c(48,32,12)c(32,48,12)++c(40,32,20)**
s(8,24,12)c(32,32,12)+s(48,24,20)+t(32,24,12)-t(32,32,12)-
s(40,40,20)c(40,16,12)+t(32,40,20)c(16,32,12)-*s(48,32,12)+
t(16,48,12)s(24,16,20)s(24,40,28)s(40,40,28)*-+t(24,48,28)-
t(32,48,12)s(40,32,20)+t(32,40,28)*s(24,24,28)t(32,48,28)--
s(24,40,28)c(32,40,20)s(24,24,20)c(32,24,20)*t(24,24,12)--*
s(24,32,20)c(40,48,12)s(24,32,20)+s(40,32,20)-*t(24,16,12)-
t(24,40,20)s(32,24,20)s(24,16,20)*-c(40,24,20)s(40,40,28)*+
s(40,32,20)c(32,32,28)s(48,32,20)*s(24,24,12)+*c(48,40,12)-
c(32,40,20)t(32,40,12)-s(24,40,28)c(24,32,12)-t(40,24,20)-*
t(32,32,28)c(48,32,12)c(32,24,20)+t(32,24,20)-c(16,24,12)--
t(48,32,12)t(24,40,28)+t(32,32,20)s(24,48,12)-s(40,32,20)*-
c(16,16,12)c(40,32,20)c(24,24,20)*+s(16,24,20)-c(32,40,12)+
s(32,32,28)c(40,40,20)s(40,16,20)c(24,24,20)s(48,32,20)---*
s(24,32,28)s(24,40,28)*s(16,40,20)t(24,32,20)s(40,40,12)--+
c(32,32,20)s(40,40,28)*t(24,48,28)t(32,40,28)*t(32,16,12)+-
s(24,32,28)c(32,24,12)-s(16,32,12)-t(24,32,20)-c(48,40,12)+
s(40,32,20)t(32,40,20)-t(48,32,12)t(40,40,12)t(32,24,12)+++
s(48,16,20)s(48,8,12)s(24,32,20)+s(32,32,20)-s(16,40,12)+-
s(32,24,28)s(48,40,12)-c(32,40,20)*s(40,24,28)s(32,32,20)**
t(32,32,28)c(32,32,20)*s(24,32,12)-s(24,16,20)s(24,24,20)*-
t(32,24,12)t(24,48,20)s(32,48,20)t(32,32,28)+*+s(40,32,28)*
s(32,32,20)c(32,32,20)s(16,48,20)+s(40,40,28)**s(32,24,20)*
c(32,40,20)s(48,40,12)-s(48,32,20)s(32,40,20)s(48,40,20)*+-
t(40,40,20)t(16,56,12)+s(32,8,12)+c(32,24,20)t(24,24,12)--
c(48,32,12)s(40,48,20)s(40,40,20)*+t(16,56,12)+s(32,32,20)+
c(24,32,20)t(40,32,20)-s(16,16,12)+s(24,8,12)-s(16,32,20)*
t(24,24,20)s(16,16,20)s(40,24,28)c(48,24,12)-c(32,24,20)*--
t(40,48,20)s(48,40,12)t(32,24,20)++s(40,40,20)c(24,32,12)+*
c(16,48,12)s(32,8,12)s(24,32,28)+s(32,32,28)*s(16,48,20)-+
s(32,24,28)c(32,24,12)-s(40,24,12)+c(32,24,20)c(24,40,12)-*
s(32,24,28)t(32,24,12)-t(32,32,28)c(32,40,20)**s(16,32,12)-
s(32,40,20)t(16,48,12)-t(24,40,28)*t(48,32,12)+t(24,32,20)-
s(16,24,20)s(48,16,20)+c(40,40,20)s(24,24,28)*-s(40,24,28)*
s(32,40,20)c(32,32,20)t(32,32,20)-t(24,16,12)-s(48,40,20)+*
c(40,16,12)c(32,16,12)c(40,40,20)+s(32,24,20)-+s(24,32,28)-
t(24,40,28)s(48,24,12)+t(32,40,20)-c(48,32,12)c(24,24,20)++
t(40,40,20)s(40,32,28)t(32,40,28)c(24,48,12)-*c(40,24,20)+*
c(32,40,20)s(24,40,12)-t(32,48,28)+t(24,48,28)*s(16,48,20)*
s(40,24,28)t(32,32,20)-t(40,32,20)s(40,40,20)*t(24,48,28)+-
c(32,32,12)t(24,40,20)+t(40,24,20)+s(24,32,20)s(8,32,12)-*
s(40,40,12)s(32,24,20)+s(40,24,28)c(24,24,20)*t(24,16,12)--
s(40,16,12)t(24,48,28)c(40,40,20)s(48,48,20)*s(24,40,12)+*+
c(32,40,20)s(48,32,20)s(40,16,20)c(48,16,12)--t(32,24,20)--
s(40,48,20)c(24,40,20)+t(24,48,28)s(24,32,20)s(16,32,12)--*
s(48,32,20)c(32,24,12)-t(24,48,28)t(32,32,28)*s(40,48,20)+-
s(40,32,20)s(16,48,12)s(32,40,12)++s(40,40,28)*s(48,24,20)*
s(40,32,28)s(24,32,20)-t(32,32,28)t(24,32,28)+s(40,24,20)++
s(24,32,20)t(24,40,20)t(24,48,20)c(32,48,12)++s(24,32,28)**
t(32,32,28)s(16,32,12)-s(32,16,20)s(32,24,28)t(40,24,12)-*-
s(24,48,12)s(32,24,12)+c(24,40,20)t(16,48,12)-t(24,32,20)*-
c(32,32,20)s(40,40,28)*s(40,32,28)c(48,48,12)-s(40,24,12)-+
t(32,32,20)c(40,48,12)t(40,24,12)+s(32,32,20)s(40,40,20)---
t(40,24,12)s(24,48,20)+t(48,24,12)+s(24,32,28)s(24,24,20)-*
t(24,32,20)t(32,56,12)s(16,24,12)+t(24,32,12)-+s(40,40,28)*
t(32,32,28)s(40,40,28)t(24,24,20)-+s(24,40,28)*t(32,48,28)*
s(32,16,20)s(24,40,28)s(24,32,28)s(32,40,12)-+s(40,40,28)--
s(16,16,20)c(40,40,20)s(48,16,20)-+t(24,40,28)t(32,40,12)-+
s(40,32,28)s(24,40,28)*c(32,16,12)+s(24,32,28)*t(24,32,28)*
c(32,40,20)s(16,8,12)c(40,24,20)s(32,24,12)-+c(32,16,12)--
s(16,16,20)s(32,8,12)-t(48,16,12)s(16,32,12)+-s(24,48,12)+
t(24,32,28)c(24,32,20)t(24,16,12)-s(16,16,20)-+s(32,32,20)*
c(40,32,20)s(24,24,28)t(24,24,12)t(32,40,20)+s(40,32,12)+**
t(40,40,20)t(40,48,20)c(24,16,12)+s(32,24,20)-+c(32,40,12)-
s(32,40,12)s(24,24,12)+s(32,32,12)+s(8,16,12)s(32,16,12)++
c(48,24,12)c(16,40,12)t(48,32,12)++s(24,24,28)c(16,16,12)-*
t(16,48,12)s(32,24,20)+c(32,32,20)t(24,48,28)+c(48,24,12)-*
s(16,32,20)c(32,32,20)c(32,24,20)s(32,24,28)t(40,16,12)-*--
s(48,16,20)c(32,24,20)s(40,24,28)c(48,24,12)--s(40,48,12)+-
s(48,16,12)s(32,24,28)s(24,32,20)*c(32,48,12)-+t(24,32,28)*
c(24,24,20)t(16,24,12)t(48,56,12)+-s(16,48,20)-s(16,40,20)-
s(32,24,20)t(24,32,28)t(40,40,20)t(24,40,20)c(40,24,20)+*--
s(16,48,20)s(24,32,20)-t(24,48,28)*c(24,16,12)+c(32,32,20)-
s(48,48,20)s(32,32,12)+s(32,40,28)s(48,40,20)*c(40,48,12)+*
c(40,40,20)s(48,48,12)s(32,40,20)+*s(16,48,20)t(24,32,20)--
s(24,40,20)s(32,32,28)*t(24,40,28)s(32,8,12)s(40,48,12)+-*
s(24,48,20)s(24,40,20)c(16,48,12)-s(32,48,20)+s(48,32,20)-*
s(48,40,12)s(16,32,20)s(24,40,12)-+s(40,32,12)-s(32,16,20)-
s(32,24,28)t(48,32,12)s(24,16,20)c(24,24,20)c(32,40,20)-*+-
s(40,24,20)s(24,40,28)t(48,48,12)s(16,48,12)+c(40,24,12)+*-
t(24,24,20)s(32,32,20)t(40,16,12)+s(32,32,28)t(24,40,20)-+*
s(32,48,20)t(32,40,28)s(40,40,20)*s(24,24,28)t(32,40,20)-+*
c(32,32,28)s(48,48,12)-s(16,32,12)t(40,16,12)t(32,48,28)++*
s(48,16,20)s(48,24,20)*s(16,24,12)+s(40,16,20)t(24,48,20)+*
c(32,32,20)s(24,40,20)s(40,40,28)*-s(24,24,20)c(32,24,20)*-
s(32,32,20)s(48,32,20)*t(16,48,12)+s(48,40,20)+s(40,24,20)+
c(32,24,20)t(48,32,12)-c(24,40,20)*s(48,48,20)s(32,24,20)+*
c(32,32,12)s(24,48,12)c(40,32,12)++t(32,32,28)+s(24,24,20)-
c(40,40,20)s(32,32,28)t(40,24,20)-t(16,24,12)-t(16,16,12)+*
s(40,16,20)s(48,48,12)+s(48,16,20)c(24,32,20)-*c(16,24,12)+
t(32,40,12)s(16,48,20)c(24,32,20)+t(40,32,20)-+c(32,32,12)-
t(24,48,12)s(24,40,28)c(16,40,12)-s(24,32,28)*s(24,32,20)*+
c(32,40,20)s(40,24,28)-s(16,32,12)-t(32,48,20)s(48,32,20)-+
t(24,48,20)s(32,32,28)+s(24,24,20)s(32,48,20)--s(40,32,20)*
s(32,40,28)c(24,24,20)c(24,32,20)s(16,32,12)---s(24,24,28)*
c(16,40,12)s(32,24,28)s(24,24,28)s(24,32,20)-*+c(24,24,12)-
s(24,32,20)c(16,32,12)s(40,32,20)+*t(40,40,12)+s(48,16,12)+
t(32,40,28)s(24,16,12)+s(24,16,12)s(40,24,20)c(32,32,20)*+*
s(24,48,20)s(32,48,20)*s(40,16,20)+s(40,32,28)*s(48,32,20)-
s(40,24,20)s(16,32,20)s(24,24,20)t(48,32,12)+s(48,16,20)-*-
s(24,40,20)s(24,32,20)*t(32,24,12)s(40,48,20)+c(32,24,20)+*
s(16,40,20)s(24,48,12)s(40,24,28)c(40,24,20)t(32,32,28)--+*
s(32,32,28)s(24,24,20)c(32,24,12)t(16,16,12)+*-c(40,40,20)-
s(40,40,20)t(24,40,20)t(32,40,12)t(32,24,20)c(16,32,12)-++*
s(40,24,28)s(16,16,20)s(24,24,28)*c(32,40,20)--c(24,32,20)*
s(32,24,28)t(24,16,12)-s(32,32,28)s(24,48,20)t(32,48,20)--*
c(40,32,20)c(24,32,20)t(32,32,28)*+s(40,24,12)t(16,16,12)+-
c(40,24,20)t(40,32,20)t(48,24,12)-*s(16,48,20)+t(24,48,28)-
s(32,48,12)c(24,24,20)+t(32,24,20)s(40,16,20)s(24,16,20)---
t(24,32,28)s(40,24,12)s(16,48,12)+-s(32,40,20)s(32,24,28)+*
s(24,40,28)s(40,32,28)t(24,24,20)+s(32,40,12)-s(24,32,28)**
s(32,24,28)c(24,40,12)-c(40,40,12)+s(24,40,28)c(16,48,12)--
s(32,24,28)c(40,32,20)*t(32,24,20)*c(16,40,12)+s(32,32,28)*
s(24,24,28)s(32,32,20)c(32,32,12)-t(32,48,28)s(40,32,20)---
s(40,48,20)s(40,32,20)s(24,16,12)c(40,40,12)+c(24,48,12)++*
t(24,16,12)s(40,24,20)c(24,32,20)c(32,40,20)+s(8,48,12)+*+
s(32,40,28)c(24,24,12)-s(40,48,20)t(24,48,28)--s(40,32,28)-
t(32,32,20)t(24,40,28)+s(24,32,20)*s(24,24,28)s(32,32,28)**
c(40,32,12)s(32,16,12)+c(40,24,20)s(24,40,20)s(40,40,28)*-*
s(40,32,20)s(40,24,28)t(40,24,12)-t(24,32,12)-s(32,24,20)--
t(40,40,20)s(16,16,20)c(32,16,12)-t(32,56,12)++c(32,24,12)-
t(24,32,28)s(8,40,12)-c(24,40,12)-c(40,32,12)+t(48,48,12)+
t(24,32,12)c(48,40,12)+t(40,24,12)s(48,8,12)+c(32,24,12)+-
s(40,24,28)c(40,32,20)s(8,40,12)+*s(16,16,20)t(32,40,12)++
t(48,40,12)t(16,40,12)s(40,40,28)+t(40,32,20)-+s(16,32,12)-
s(32,40,20)s(24,32,20)t(32,32,28)t(24,32,12)---c(48,48,12)-
t(32,32,28)t(40,24,20)-c(32,24,20)s(32,16,20)-+s(40,40,20)-
s(16,16,20)s(24,8,12)t(24,48,12)+-s(16,48,20)c(24,40,20)*+
t(48,16,12)s(32,48,20)s(40,40,28)*s(24,24,20)++c(32,32,20)*
s(24,24,28)s(24,16,20)s(24,24,20)*s(48,24,20)+-s(40,40,12)-
t(16,56,12)t(24,24,20)+s(48,16,20)+c(40,32,20)s(32,32,12)-*
c(32,32,20)s(40,32,28)c(32,24,20)*t(24,40,28)--s(32,48,12)-
s(32,16,20)c(32,24,20)t(32,48,12)+t(32,40,28)c(24,32,20)+**
s(32,40,28)t(32,32,28)c(32,24,20)s(16,24,20)s(24,24,20)++**
t(32,48,28)c(48,48,12)s(32,8,12)+-s(40,32,20)s(40,24,20)+-
t(24,48,28)t(40,32,20)s(24,32,28)+s(32,32,28)*s(24,32,28)*+
c(32,32,12)t(40,48,20)s(48,32,20)+t(40,40,12)-c(40,24,20)*+
c(48,16,12)s(40,32,20)c(32,32,20)t(24,48,20)-*+s(40,24,20)+
c(48,48,12)s(24,48,20)t(24,24,12)+c(32,32,28)c(32,32,12)--+
s(32,32,28)s(32,48,12)s(24,24,28)+*s(40,32,20)*c(40,40,20)*
c(24,32,20)s(32,32,20)s(16,48,20)s(16,32,12)---s(24,8,12)-
t(32,48,20)s(24,32,28)t(24,40,20)-s(24,48,20)+s(40,24,20)-*
t(32,48,28)t(32,48,20)-s(8,24,12)+s(32,48,20)+t(32,40,28)-
s(40,16,20)t(24,48,28)+t(32,40,28)*c(40,32,12)+t(32,48,12)-
c(24,32,20)t(16,56,12)c(24,16,12)+-c(24,32,20)t(40,40,12)-*
t(40,40,20)c(24,24,20)+t(48,24,12)s(16,24,20)+s(16,16,20)**
c(24,32,20)s(24,24,20)t(24,40,20)s(48,48,12)c(32,32,20)+*-*
s(48,24,20)s(48,40,20)s(24,32,28)-t(32,48,28)-t(32,32,28)+*
s(40,24,20)s(40,40,20)t(48,16,12)+*c(24,40,12)+s(8,40,12)+
s(16,16,12)t(32,56,12)s(40,40,20)+t(40,24,20)-+c(32,40,20)*
s(24,32,28)s(40,24,20)+s(48,16,20)*s(40,32,28)*s(40,32,12)+
s(40,32,20)s(32,24,20)*c(48,40,12)+s(8,24,12)+s(48,32,20)+
s(32,32,28)c(32,32,28)s(32,24,28)c(32,32,12)-s(32,48,20)--*
s(32,32,28)s(40,48,20)c(40,24,20)+s(48,16,20)c(48,40,12)+*-
c(48,16,12)s(40,24,28)s(24,48,20)-s(32,24,28)*+c(32,32,20)*
s(32,40,12)c(48,32,12)t(24,24,20)++c(24,40,20)+t(24,32,20)-
s(32,40,28)s(40,16,20)t(32,32,12)t(24,40,12)+s(40,8,12)+--
c(24,32,20)s(24,48,20)c(24,24,20)c(40,16,12)s(16,8,12)+---
t(24,40,28)s(24,24,20)s(16,24,20)c(40,16,12)+t(24,48,28)-*-
t(24,24,20)t(48,40,12)+c(24,32,20)t(32,48,20)+*s(24,32,20)*
s(32,48,12)s(24,48,12)+t(24,40,20)s(48,48,20)-+c(48,24,12)+
s(32,16,20)t(40,32,20)-c(40,24,20)t(40,40,20)+c(48,32,12)-+
c(24,40,20)c(24,40,20)c(32,40,12)--c(40,16,12)+t(32,48,12)-
t(32,48,20)s(24,32,12)-t(32,40,20)+s(24,40,28)t(40,40,20)-*
c(32,24,12)t(32,48,20)c(40,32,12)++c(48,48,12)-c(24,24,12)-
s(40,48,20)c(32,32,20)t(24,40,28)c(32,40,20)*s(16,32,12)-+*
s(32,16,20)s(32,24,28)s(48,32,12)-s(48,24,20)-*s(8,24,12)+
s(16,40,20)s(32,16,12)+s(32,16,20)+t(24,40,28)s(24,24,20)--
t(32,40,12)s(40,40,28)s(40,24,20)s(48,24,12)-s(40,40,12)+*+
t(32,48,28)s(40,32,12)-t(16,40,12)+s(32,40,28)s(40,40,28)*+
s(48,32,20)s(40,16,20)+s(32,24,20)t(48,32,12)+t(24,32,12)--
s(24,8,12)s(32,24,12)+s(24,40,28)s(32,16,20)+t(40,32,20)-*
c(32,32,20)s(32,40,20)c(24,24,20)-c(24,40,20)s(16,48,20)*+*
t(32,32,28)s(48,48,20)t(32,48,12)++t(24,32,28)*t(24,32,20)*
t(32,32,28)s(32,40,12)-s(40,32,28)+s(32,24,28)s(24,40,20)*-
s(32,40,28)s(48,40,20)+s(40,40,20)t(24,32,28)s(32,32,20)*+-
s(24,48,20)t(32,48,28)s(40,24,12)++s(32,24,12)t(32,40,20)+-
t(24,32,28)s(24,40,28)*t(32,32,12)-s(48,32,20)-c(16,16,12)-
s(16,48,12)s(40,16,12)+t(24,40,28)+s(24,40,28)s(32,32,20)-*
t(32,40,28)s(32,8,12)s(16,40,12)+s(40,24,20)c(24,32,20)-++
s(16,48,20)t(32,48,20)s(32,16,12)+c(32,40,20)*t(40,56,12)--
c(32,40,20)c(40,24,12)s(24,40,20)s(16,40,20)*s(8,32,12)-++
c(24,40,12)s(32,24,20)t(40,32,12)-+s(24,24,28)*t(32,40,28)*
s(48,32,12)s(16,32,20)+s(32,40,28)s(32,32,28)+c(24,48,12)--
s(32,40,28)s(16,16,20)t(24,48,28)+c(32,40,20)s(16,8,12)+**
s(32,24,20)c(40,24,20)s(40,40,20)+c(24,32,12)-t(32,32,20)--
s(32,32,20)t(24,40,20)s(32,40,12)+-s(40,32,12)+s(24,40,20)-
c(40,24,20)s(40,48,20)-s(24,32,20)-s(32,24,20)+s(40,40,12)-
s(16,24,12)t(32,32,28)+c(48,32,12)-c(32,24,20)t(24,48,12)++
c(32,24,20)t(32,40,28)s(24,48,20)--s(16,48,20)-c(16,24,12)-
c(24,32,20)s(40,40,28)*s(16,48,20)s(40,40,20)+s(40,32,28)**
t(48,16,12)s(32,48,20)s(32,32,28)*+s(48,48,12)-s(16,40,20)+
c(40,24,12)s(16,32,20)s(32,32,20)*c(40,40,20)+t(32,40,28)*+
c(32,40,20)s(48,48,20)t(40,48,12)t(24,40,20)++*s(32,40,20)+
c(24,32,20)c(40,40,12)s(24,48,12)+t(48,40,12)-t(24,32,12)+-
t(24,48,20)c(40,32,12)t(32,40,28)s(32,32,28)*+s(40,48,20)*-
s(24,40,20)c(32,24,20)t(24,48,20)c(24,16,12)+*t(32,40,12)+-
s(40,24,28)t(24,48,20)+c(24,32,12)-s(32,40,20)c(32,24,20)*-
c(32,40,20)s(32,8,12)s(24,24,28)s(40,32,20)c(32,32,20)+*+*
c(32,24,20)c(48,16,12)-c(40,16,12)-t(32,32,28)*s(16,24,20)+
t(40,32,20)t(24,40,20)-t(16,32,12)+s(40,48,20)t(40,40,20)*-
s(24,16,20)s(32,32,20)-s(48,40,20)c(32,32,20)*s(48,16,12)++
s(8,16,12)s(24,48,20)c(24,48,12)t(48,24,12)+t(24,48,28)+*+
t(24,32,20)t(24,16,12)-c(40,40,12)+s(32,32,28)t(32,32,28)--
t(40,40,20)s(16,48,20)s(40,40,28)s(40,32,12)-c(32,32,12)++*
s(32,40,28)t(24,32,28)t(40,16,12)+s(48,16,20)+*s(40,24,12)-
s(48,40,12)c(24,24,20)s(32,16,20)*+c(24,24,20)*c(32,40,12)+
s(32,32,28)t(32,48,20)-s(24,24,20)c(32,40,12)-*s(40,24,20)+
c(32,24,20)s(32,32,20)c(48,32,12)t(24,40,20)+c(40,40,12)--*
s(40,40,20)c(32,40,20)s(48,32,20)s(40,24,12)--*s(32,24,20)+
s(48,32,20)t(32,40,20)t(24,32,12)--t(24,48,28)s(40,40,20)+-
t(24,40,28)t(24,32,28)*t(32,40,20)+t(16,40,12)t(24,16,12)++
t(32,48,28)s(48,16,20)+t(24,24,20)t(24,32,12)-+s(40,48,12)-
c(24,32,20)s(24,40,28)*t(24,48,28)t(24,32,28)+c(32,32,28)**
s(40,16,20)s(16,32,20)s(24,32,20)s(32,24,28)*++c(40,16,12)-
t(48,56,12)s(40,24,28)s(32,32,20)t(24,16,12)+s(24,24,28)**+
c(32,32,28)c(40,16,12)s(24,40,20)s(8,48,12)++*s(40,32,28)*
t(32,32,28)t(24,40,28)t(40,48,20)--c(24,40,20)+c(24,32,12)-
s(24,40,20)t(40,56,12)t(32,32,20)s(32,16,12)-+-s(48,8,12)+
t(32,24,20)t(24,32,28)c(24,24,20)c(48,48,12)+c(32,24,20)**+
s(24,24,28)t(32,32,28)*c(40,32,20)s(32,32,20)**c(16,40,12)-
c(32,40,20)c(48,32,12)c(40,24,12)+-t(24,32,20)s(48,40,20)++
t(32,40,20)s(40,48,20)s(32,24,28)-t(32,32,20)s(32,24,20)++*
c(40,40,20)s(32,40,28)*s(32,16,20)s(24,24,20)*t(24,40,12)+-
s(32,40,28)t(40,56,12)t(32,32,28)t(24,40,28)*+c(32,48,12)+-
t(40,40,20)s(32,8,12)s(32,32,28)t(32,24,20)-+s(40,32,20)--
c(32,32,20)c(16,16,12)-s(32,32,28)c(32,24,12)-*t(40,24,12)+
c(48,16,12)t(24,16,12)s(16,32,20)s(32,16,20)-++c(24,32,20)-
c(32,48,12)s(24,48,20)c(32,24,20)-s(24,40,20)*+c(32,16,12)+
s(24,48,20)t(48,56,12)s(40,32,28)++t(24,32,20)*c(40,24,12)-
c(32,40,20)s(32,48,20)t(48,48,12)s(32,8,12)++*c(24,32,12)-
s(40,24,28)t(24,16,12)-c(48,40,12)-c(32,24,20)s(24,40,28)**
t(32,40,28)t(24,32,28)c(40,24,20)s(24,32,28)**s(48,40,12)+*
c(32,24,20)s(32,40,28)*s(24,24,12)+s(32,32,20)s(48,8,12)+*
c(32,32,28)c(40,32,20)-s(32,24,20)s(32,48,20)-c(32,48,12)+-
t(32,40,20)t(48,48,12)+s(16,40,12)-c(24,40,12)-s(16,32,12)+
s(32,32,28)s(16,8,12)s(32,40,20)c(32,24,20)++t(40,48,20)--
t(32,24,12)c(48,24,12)+s(24,24,20)+t(24,32,28)s(24,16,12)-*
s(40,32,12)s(48,16,12)t(24,48,28)s(32,40,28)*++s(24,48,12)-
c(40,40,20)c(32,32,20)s(32,24,20)c(24,32,12)-*-s(40,48,20)*
c(32,32,28)s(24,48,12)-s(32,48,20)-c(24,24,20)s(24,48,20)++
s(16,32,20)s(40,32,20)c(40,48,12)+-t(32,48,12)+t(40,40,20)-
c(24,32,20)s(32,48,12)c(40,32,20)+t(40,32,12)--c(24,40,20)+
t(48,48,12)s(32,32,20)s(32,48,20)-+s(40,32,28)c(32,32,20)**
s(24,24,28)t(16,48,12)c(32,40,12)+-s(40,16,20)-t(24,24,20)-
s(24,24,28)s(32,32,28)s(32,16,20)t(48,24,12)+**c(48,16,12)-
s(48,16,20)t(32,48,28)+s(48,24,20)*s(24,40,12)t(32,40,20)+-
t(48,24,12)s(48,48,20)s(48,40,20)*+s(40,48,20)s(48,48,20)+*
s(24,32,28)s(32,32,28)c(40,24,20)s(24,16,12)-*+s(24,24,28)*
s(32,24,28)c(24,48,12)+c(48,16,12)-s(40,16,20)t(24,16,12)--
s(40,32,28)s(32,32,28)c(32,32,20)c(40,40,20)t(32,24,12)-*-+
t(24,24,20)c(40,24,20)+c(40,16,12)s(24,40,20)t(32,24,12)++*
c(24,40,12)s(16,16,20)+s(48,24,12)s(16,16,20)+s(24,24,20)*-
s(40,24,28)c(24,40,20)*c(48,40,12)+s(16,48,20)s(48,40,20)+*
c(32,40,20)s(24,32,28)s(32,24,28)s(32,40,28)c(24,24,12)-**-
s(32,24,20)c(24,24,20)+t(24,40,20)s(40,8,12)+c(32,32,20)*+
t(32,32,28)c(48,32,12)-s(24,32,28)c(40,24,20)s(32,32,28)+**
s(16,16,20)s(24,32,20)+s(24,40,28)s(48,16,20)c(32,40,20)-++
s(40,40,20)s(32,24,28)c(16,24,12)-+t(24,40,28)*s(8,16,12)+
s(24,48,12)s(32,16,20)s(32,40,28)-+s(40,32,28)+c(40,24,20)-
c(48,24,12)s(32,32,20)+c(32,40,20)*c(24,40,20)s(32,24,28)**
s(32,32,28)t(32,32,28)t(32,16,12)--c(16,48,12)-t(32,48,20)-
c(16,16,12)c(40,32,20)c(40,40,20)*s(32,32,12)-c(40,32,12)++
s(24,24,12)s(32,40,20)c(24,40,20)t(40,40,20)--+c(40,24,12)-
c(24,32,20)c(32,24,12)s(24,48,12)+-c(40,40,20)s(40,24,28)-+
c(32,32,20)s(24,40,12)-s(32,24,20)c(40,16,12)--s(16,24,20)-
s(32,24,12)t(24,24,20)+s(24,32,20)c(24,48,12)-s(40,48,20)-*
c(32,32,28)t(32,40,20)t(32,32,28)s(32,24,20)*+-c(48,24,12)-
c(24,40,20)t(24,40,28)c(40,40,12)-*s(32,32,28)s(16,16,20)+*
s(24,40,20)c(40,32,20)c(24,24,12)++s(48,24,20)*s(40,24,20)*
s(32,8,12)s(48,40,20)c(16,40,12)+c(40,48,12)-c(16,40,12)-+
s(8,32,12)s(32,32,20)+s(40,16,12)-c(40,48,12)-t(32,24,20)-
s(48,24,12)s(24,40,20)t(16,32,12)-+s(24,32,12)-s(40,32,20)-
c(40,32,20)c(40,24,12)-c(40,32,12)c(16,16,12)t(40,48,12)++-
c(32,24,12)c(16,40,12)+c(40,24,20)c(16,40,12)+s(48,32,20)-+
s(24,32,28)c(48,16,12)t(16,56,12)+t(24,32,20)s(40,24,28)++*
c(48,16,12)c(24,24,20)c(40,32,12)-+c(32,24,12)+s(32,24,12)-
s(40,16,12)c(40,24,12)c(24,48,12)++t(32,32,20)-s(24,32,20)-
t(32,40,28)c(16,32,12)-s(40,8,12)+c(40,24,20)*s(40,24,20)*
s(24,48,20)c(32,24,20)c(48,40,12)-t(24,32,12)--s(24,40,20)*
t(48,16,12)s(32,48,20)+t(32,32,20)s(40,16,12)t(24,48,12)+--
s(32,48,20)c(32,40,20)+s(32,16,20)c(40,40,20)+c(24,48,12)-*
s(16,48,20)t(24,48,28)s(32,48,20)t(32,32,28)*+s(40,40,20)*-
s(24,48,12)c(32,32,20)s(16,24,12)-c(40,32,12)-t(40,16,12)++
c(24,24,20)t(24,32,20)t(24,48,28)s(32,40,28)s(32,40,20)--+*
s(24,32,20)c(48,24,12)s(32,40,28)+t(32,32,20)--c(32,24,20)*
s(48,24,20)c(40,40,20)s(40,48,20)-s(16,40,12)c(16,48,12)+-+
t(24,48,20)s(40,40,20)+s(32,24,12)c(40,40,12)+-c(48,16,12)+
s(24,16,20)s(16,16,20)s(32,32,20)-s(40,48,12)s(8,8,12)+--
t(24,48,28)s(32,40,28)s(16,48,20)-s(24,32,28)*s(24,48,20)+*
s(16,48,20)t(16,48,12)s(24,16,12)s(8,8,12)++-c(32,24,20)-
s(24,40,20)s(16,48,12)c(16,24,12)+t(24,24,12)-s(24,16,12)+-
s(16,32,20)s(48,40,20)c(48,24,12)s(32,32,20)t(16,48,12)+++*
s(48,40,20)t(24,56,12)s(24,16,20)+t(40,40,12)+-c(32,40,20)+
c(40,40,20)t(24,32,28)s(40,40,20)s(24,32,28)+s(40,16,20)-*-
c(32,40,20)s(32,32,28)*s(32,48,20)*c(16,16,12)+t(32,40,20)-
s(16,32,20)s(16,40,20)c(32,32,28)*+t(48,32,12)s(32,16,20)+-
c(48,32,12)s(24,24,12)t(32,32,28)c(24,40,20)*+s(32,32,20)*+
c(24,24,20)s(24,48,20)+s(48,24,20)c(16,16,12)+t(32,40,20)+*
t(24,40,28)s(40,48,20)t(32,40,28)s(40,32,28)**+t(48,48,12)-
s(40,24,28)s(40,32,28)+s(32,40,20)c(40,32,20)+*s(48,48,20)*
s(24,8,12)t(24,40,20)c(40,24,20)+s(24,32,28)c(24,40,20)+-+
c(32,24,12)s(32,16,12)c(48,32,12)t(24,24,12)++c(48,40,12)-+
c(32,24,20)c(48,40,12)s(32,40,20)+c(48,24,12)s(32,40,20)++*
t(24,32,20)t(32,48,28)c(24,40,20)t(16,48,12)-t(24,48,28)---
t(24,48,28)c(16,32,12)s(16,16,12)+s(8,48,12)+s(24,32,28)*-
t(32,24,20)c(16,16,12)+c(32,32,28)t(32,32,20)c(24,24,20)*-*
s(40,32,20)s(24,40,28)c(16,40,12)--c(48,40,12)+s(32,40,12)-
c(32,24,20)s(24,32,28)c(40,24,20)*t(40,32,20)+*t(16,56,12)+
s(32,16,20)s(32,24,28)s(40,8,12)-*s(48,24,20)s(32,40,20)-+
s(16,40,20)s(32,24,28)+s(24,16,20)-s(16,32,12)s(16,48,12)+*
t(16,32,12)s(24,48,20)t(24,56,12)-t(24,32,12)-+c(24,48,12)-
s(32,24,28)t(24,32,28)s(40,40,20)c(40,32,20)*-*s(24,24,12)+
s(32,24,28)s(32,40,28)s(48,32,20)*-c(40,24,12)-c(32,32,20)*
s(16,48,12)t(40,32,20)c(32,40,12)+c(48,16,12)-t(40,32,20)*+
t(16,16,12)s(16,40,20)+c(24,40,20)*s(48,40,12)+c(24,24,20)*
s(32,24,28)c(40,40,20)-s(40,32,20)c(48,16,12)-+s(48,16,12)-
s(32,24,28)s(24,16,12)-s(48,40,20)s(24,40,28)s(32,32,20)*+*
s(8,32,12)t(40,40,12)+t(24,40,28)c(32,24,20)c(40,24,12)-*-
s(32,32,20)s(16,24,20)s(32,16,20)-+s(24,40,28)*s(16,40,12)-
s(40,32,28)s(24,32,28)s(8,8,12)c(40,32,12)+--t(40,40,12)-
s(40,24,20)t(40,24,20)t(24,48,28)++s(32,32,28)*c(48,32,12)-
s(16,32,12)s(16,32,20)s(8,24,12)-s(40,16,12)+t(24,16,12)-+
s(24,16,20)s(24,24,20)t(32,24,20)*-s(32,32,20)+t(40,48,20)-
c(24,24,20)c(16,16,12)s(32,32,28)+*s(24,40,28)s(48,16,20)++
t(24,48,20)t(32,32,28)s(24,40,20)t(32,40,28)t(40,48,12)-**+
s(16,48,12)s(32,32,20)+s(32,40,20)+c(24,16,12)+c(48,32,12)+
s(24,40,28)s(24,24,20)s(8,24,12)-c(16,40,12)--s(16,48,12)-
s(24,24,20)s(16,16,20)s(40,40,28)+s(24,32,28)s(32,40,20)*-*
s(40,48,20)s(8,24,12)+s(48,48,12)c(24,32,20)++t(24,40,28)-
s(32,24,28)t(32,40,28)+s(48,24,20)t(24,32,12)+-s(8,48,12)+
s(48,32,20)t(32,32,28)s(24,48,12)--c(16,48,12)+t(48,16,12)-
c(32,32,28)t(32,48,12)s(48,24,12)+-s(32,24,28)*c(24,24,20)+
c(32,40,20)c(48,48,12)c(40,32,20)c(48,40,12)-+t(32,48,20)--
t(16,24,12)c(24,24,20)t(32,48,20)c(24,48,12)+-c(24,24,12)-+
s(40,24,28)s(48,16,20)t(32,56,12)s(48,40,20)+--c(24,32,20)*
s(40,48,20)s(32,32,28)s(24,40,20)-s(16,24,12)+-t(40,56,12)-
c(32,16,12)t(40,40,20)+c(48,16,12)-t(24,56,12)+s(24,32,12)+
c(40,24,20)c(32,32,12)c(16,16,12)+c(24,40,20)+s(40,40,20)+-
t(24,48,28)s(24,32,12)s(24,24,20)s(16,24,20)*+c(32,32,20)*-
c(32,32,20)t(48,40,12)c(32,24,20)+t(32,32,20)s(24,32,20)*-*
s(24,40,28)s(32,48,20)s(40,40,20)t(32,48,28)*+-c(24,32,20)*
s(16,32,20)t(24,40,28)s(32,24,28)*c(16,16,12)-s(32,24,20)+*
t(32,32,28)s(32,32,12)c(16,16,12)c(40,16,12)++*t(24,48,20)+
t(24,40,20)c(40,40,12)+s(48,32,12)-s(32,24,28)t(32,48,20)+*
s(24,40,12)s(40,24,28)c(24,32,20)s(48,32,20)+-+s(32,48,12)-
c(24,24,20)s(16,8,12)-s(48,16,12)s(32,40,12)+c(32,24,20)*-
c(24,24,20)t(32,48,12)t(24,24,12)+-s(40,24,28)*t(24,40,12)-
s(16,32,20)c(24,24,20)+s(24,40,20)s(16,48,12)s(48,24,12)++*
s(32,40,28)c(40,40,20)*s(48,40,20)*s(40,48,20)*c(24,48,12)+
c(40,40,20)c(24,32,20)t(40,32,20)c(24,40,20)t(32,32,12)--+*
s(40,24,28)s(32,48,12)c(40,40,12)+-s(40,24,20)-s(24,8,12)-
s(32,40,20)t(24,40,28)s(8,48,12)-*t(40,40,20)+s(24,40,28)+
t(24,48,28)s(24,40,28)s(32,32,12)-t(24,40,28)s(48,32,12)+*-
t(40,48,12)s(24,40,20)c(24,32,20)s(24,48,20)+c(32,24,20)**+
s(24,24,28)s(24,32,28)t(24,56,12)+t(40,40,20)-s(40,32,28)*-
t(32,48,28)c(48,16,12)t(16,40,12)+t(40,40,20)+-t(32,16,12)+
s(16,48,20)s(32,16,12)+c(32,32,28)c(24,24,12)c(48,40,12)+-*
t(24,48,20)s(40,32,28)t(48,40,12)-t(32,32,28)*c(16,24,12)--
c(40,40,20)s(32,40,28)*t(32,48,28)s(32,24,20)+*t(32,40,28)*
s(32,32,28)t(24,32,28)s(24,48,12)-s(24,32,20)c(48,48,12)+*-
s(24,40,28)t(40,40,20)-t(32,32,20)-s(40,48,20)+s(48,48,12)-
s(32,32,20)c(40,40,20)c(40,24,12)s(48,16,20)+-t(32,48,20)*-
c(24,48,12)s(16,32,12)+t(40,24,12)s(24,8,12)++s(16,48,20)-
s(40,16,12)s(16,32,20)s(40,8,12)+t(40,56,12)++s(32,24,20)-
s(40,32,20)s(32,32,20)c(40,24,12)+t(48,32,12)-*t(24,24,12)-
t(24,32,20)t(32,48,28)+c(32,32,28)*s(40,40,12)c(32,48,12)+*
s(48,40,12)s(24,16,20)s(32,40,20)-+s(40,40,28)*s(32,24,20)+
s(24,32,20)s(40,40,28)t(16,16,12)s(48,40,20)+s(40,32,12)---
s(16,32,20)s(32,40,28)s(48,48,20)-t(24,48,28)-+t(16,32,12)-
s(48,48,12)s(40,24,20)t(32,48,12)s(48,16,20)+++t(32,48,12)-
c(32,32,20)t(24,32,20)s(48,40,12)+*s(24,40,28)c(40,24,12)+*
t(32,40,28)c(32,40,20)+s(24,32,28)*c(24,48,12)-t(48,40,12)+
c(16,48,12)s(40,16,20)t(40,40,12)++t(48,16,12)-c(24,40,20)*
s(48,32,20)s(16,40,20)+s(24,32,28)+s(16,48,20)+s(40,48,20)*
s(16,32,12)c(40,24,20)c(32,40,20)*s(24,40,12)-t(24,40,12)++
s(40,24,12)t(24,32,28)+s(24,48,20)t(48,48,12)+s(40,40,20)++
s(16,40,12)s(48,40,20)+s(24,40,20)+t(32,32,28)*s(32,24,28)*
c(40,32,20)t(32,40,28)t(24,48,20)+t(24,40,12)-*s(40,40,20)*
t(32,24,12)t(24,40,20)c(40,24,20)+t(24,32,20)*t(40,16,12)++
t(48,40,12)c(24,24,20)+s(16,16,20)s(24,24,20)-s(40,32,28)+-
c(32,16,12)s(48,48,12)s(24,48,12)+c(40,40,20)*t(32,32,20)++
s(40,24,28)s(40,24,12)-t(24,48,28)-t(40,24,20)s(48,32,12)++
c(40,32,20)c(24,32,20)s(32,40,28)s(24,24,28)*s(32,16,20)+**
s(8,8,12)s(40,48,20)c(32,40,12)t(16,56,12)+-+s(40,24,20)+
t(32,32,28)s(32,32,28)t(24,48,20)t(40,40,20)s(48,32,12)-+**
s(40,32,28)s(32,40,28)+s(24,32,28)c(24,24,20)-c(40,32,20)+*
s(32,32,28)t(32,40,28)*s(24,40,28)s(40,40,12)-*s(48,32,20)+
s(32,32,20)c(32,40,20)c(16,24,12)-t(24,32,12)-+s(40,40,12)-
s(40,32,28)t(32,40,28)*c(48,48,12)+s(40,32,28)c(24,48,12)+*
s(32,16,20)c(16,24,12)-c(16,24,12)+s(8,48,12)s(40,24,20)++
s(40,16,20)s(16,16,20)s(32,48,12)+s(16,24,12)s(8,8,12)+--
s(32,48,20)t(40,16,12)+s(48,48,12)-c(40,40,20)*s(32,32,12)+
s(40,32,28)c(24,32,20)*c(40,24,12)s(24,24,20)+*c(48,40,12)+
s(40,24,28)s(24,24,28)*s(32,16,12)-s(48,24,20)+c(40,40,20)*
t(24,24,20)t(24,40,28)s(40,40,20)t(40,48,20)+++s(16,48,20)-
t(32,40,28)t(16,48,12)t(32,40,20)s(48,32,20)s(40,48,20)-+++
c(32,24,20)s(24,24,28)s(48,16,20)-s(24,48,20)-+s(24,16,12)-
t(40,48,20)t(32,40,12)-c(32,32,12)t(24,24,20)++s(24,16,20)+
c(24,40,20)t(32,24,12)-s(8,16,12)t(16,48,12)++c(24,32,20)*
s(32,24,12)t(40,40,20)+s(40,24,28)t(32,40,20)-s(24,16,20)+*
s(40,24,20)c(48,16,12)s(24,24,28)+*s(24,32,12)t(32,48,20)++
t(24,32,28)s(48,32,20)c(40,32,20)*-c(32,32,28)s(32,48,12)-*
s(16,32,12)c(32,32,20)c(40,32,20)*+s(24,24,28)s(32,40,12)-*
t(24,32,28)s(16,40,20)*s(40,48,20)s(40,24,12)+-s(48,24,20)+
s(24,16,12)s(48,16,20)+t(40,32,20)-t(16,56,12)+t(32,40,28)-
c(24,24,20)c(32,24,20)*c(16,32,12)-t(24,40,28)s(16,48,20)*+
c(24,48,12)s(40,48,20)+s(32,40,28)c(24,40,20)c(24,32,20)***
t(24,48,28)c(40,24,20)t(32,40,28)*+t(24,40,20)-c(24,24,20)-
s(32,16,12)s(48,24,20)s(24,40,28)c(16,32,12)s(40,24,12)+*-+
s(32,32,28)s(24,32,28)s(40,24,28)+s(16,16,20)s(8,32,12)+*-
s(40,40,28)c(24,32,12)-c(40,32,20)+c(24,48,12)-t(32,48,20)-
s(24,32,20)s(40,24,28)s(8,40,12)+c(40,32,20)s(48,40,12)-**
s(24,16,12)c(32,40,20)+s(16,48,12)-t(24,16,12)-t(32,40,20)-
t(32,48,28)s(32,32,12)s(48,24,12)++t(32,48,12)t(40,56,12)+-
s(32,24,20)c(32,32,20)c(24,32,20)t(16,32,12)--c(24,16,12)+*
t(40,48,20)s(32,24,12)+t(32,48,28)c(40,40,20)**t(40,40,20)+
s(48,40,20)s(24,40,20)t(32,32,28)++s(40,48,20)*t(40,40,20)*
c(40,32,20)t(32,32,20)-s(24,40,28)+c(48,24,12)-t(40,40,20)-
c(16,48,12)s(48,32,20)+s(48,40,20)-c(40,40,12)+t(24,40,20)-
c(32,32,20)t(32,40,28)c(40,24,20)s(48,32,20)*+*t(32,32,28)*
c(40,40,20)s(40,32,28)c(32,32,20)s(24,48,12)-t(32,16,12)-**
s(24,32,28)s(32,32,28)s(16,40,20)*s(24,16,12)t(48,40,12)++-
s(32,24,28)s(24,32,20)c(40,48,12)+s(40,32,28)**s(24,40,20)+
s(32,24,20)t(32,32,28)*s(8,16,12)+t(32,24,20)s(48,24,12)--
s(24,40,20)s(40,32,28)t(32,32,28)s(40,32,28)*-s(48,24,12)-+
s(24,48,12)s(8,48,12)t(40,56,12)+c(16,40,12)++s(32,48,20)*
s(40,40,20)s(40,24,12)-c(40,24,20)+c(40,40,20)*c(48,48,12)+
c(24,24,20)s(32,40,12)c(40,16,12)+t(24,40,20)t(32,32,28)*+*
s(8,32,12)c(32,24,12)s(32,40,20)+s(40,24,28)s(16,40,20)+*+
s(40,40,20)c(40,40,20)s(40,32,20)t(40,24,12)t(24,24,12)+--+
s(40,40,28)t(40,40,20)-s(24,32,28)-c(48,16,12)-s(16,24,12)+
c(40,16,12)t(24,24,12)+c(40,40,20)s(24,24,28)+s(24,40,20)-*
c(24,40,20)s(48,48,12)s(16,24,20)s(24,32,28)*+s(24,24,28)*-
t(32,32,28)t(24,32,28)s(32,16,20)c(24,24,20)+*-s(32,40,12)-
s(40,48,20)s(32,24,20)-c(24,40,20)+s(40,48,12)-c(32,40,20)*
s(40,16,12)c(40,24,20)s(16,32,12)+s(32,24,20)s(40,32,12)--+
s(16,32,20)s(24,32,28)t(40,40,20)s(24,40,12)s(48,24,12)++-*
s(48,32,12)s(16,40,20)+s(24,40,20)c(16,40,12)t(32,32,28)+**
s(40,16,20)t(32,16,12)-c(24,32,12)c(24,40,12)+-s(32,24,28)*
t(24,32,28)s(32,32,20)*t(24,48,20)s(8,24,12)s(16,48,20)+*-
t(32,48,28)t(32,40,28)t(24,32,28)*t(32,40,20)s(16,48,12)+*-
s(32,48,20)t(32,40,12)s(16,48,20)t(24,40,20)-+t(40,40,20)+*
c(40,24,20)s(40,48,12)+c(32,40,12)-s(40,40,28)s(32,40,12)-+
t(24,40,28)s(40,48,20)+t(24,40,12)-s(16,40,20)*s(32,40,12)+
s(16,40,20)s(24,40,28)s(16,48,20)s(32,40,28)c(40,32,20)*---
s(32,24,20)c(16,48,12)t(32,40,28)+t(32,24,20)c(16,24,12)---
c(24,32,20)s(40,40,28)t(48,24,12)-s(40,24,28)-+s(24,24,20)*
s(16,16,20)c(32,32,20)-s(40,40,28)+s(32,40,20)s(32,24,12)+*
t(32,24,20)c(40,16,12)s(16,24,12)+c(32,40,20)+s(40,48,20)-*
c(24,32,20)s(24,16,20)-c(16,24,12)s(48,40,20)s(40,24,28)*+-
c(24,40,20)s(24,24,28)t(32,16,12)-s(40,40,12)s(16,16,20)++-
t(40,32,20)t(40,16,12)s(24,40,20)s(32,24,12)-s(48,8,12)+++
t(32,48,12)t(40,32,12)+c(32,32,28)s(48,24,20)s(32,16,12)+*+
c(40,40,20)c(40,32,20)*t(32,32,20)s(32,48,12)s(16,16,20)+--
s(40,40,28)t(24,40,28)c(24,16,12)s(16,32,20)c(32,24,12)++*+
s(32,40,20)t(40,56,12)t(40,40,12)s(40,24,20)+++s(32,40,20)-
s(24,16,20)c(40,32,20)+t(48,40,12)-c(24,32,20)*t(16,16,12)-
c(32,32,20)t(32,32,28)+s(40,16,20)+s(48,16,20)t(32,40,28)-*
s(16,16,20)t(24,24,20)t(48,40,12)+t(32,24,20)c(40,40,12)---
t(16,56,12)c(32,16,12)+c(40,40,20)t(40,24,20)c(48,48,12)+*-
t(24,32,28)t(32,32,28)*s(24,32,20)s(24,32,28)t(24,40,28)***
t(40,24,20)s(16,24,12)+s(24,32,20)*c(32,40,12)s(48,40,20)++
c(24,48,12)s(32,32,12)+t(24,24,12)-s(16,48,12)-s(24,16,20)+
s(40,32,20)s(24,32,28)*c(40,48,12)+c(24,24,12)-s(24,40,28)*
s(40,32,28)s(24,24,12)-s(48,48,20)t(40,32,12)+s(32,24,20)--
c(32,32,20)c(32,24,20)t(32,40,28)+s(24,24,28)**s(32,48,20)+
t(32,48,12)s(48,24,20)+t(24,40,28)+t(16,48,12)-s(32,32,20)-
s(40,24,28)t(24,48,28)c(24,40,20)s(32,40,28)+*-s(32,48,20)+
t(24,40,20)s(40,40,28)c(40,24,20)+c(32,24,20)s(32,32,28)**+
s(16,48,20)t(16,32,12)-t(32,32,28)+s(40,48,20)-s(16,40,20)*
s(40,16,12)s(16,32,12)s(32,40,20)c(32,40,20)t(24,32,28)**++
t(32,48,28)c(24,32,20)s(40,32,28)*s(8,48,12)+s(24,24,20)*-
s(32,24,12)s(32,32,28)t(24,24,20)-s(48,32,20)-s(8,8,12)++
s(16,8,12)t(32,24,20)+t(16,16,12)-t(24,40,12)+s(24,40,20)*
s(32,48,20)s(32,24,28)s(40,40,12)-c(32,24,20)*-s(32,40,20)*
c(32,24,12)c(40,24,12)s(32,40,20)+s(24,24,12)+t(24,48,28)*+
s(32,32,28)s(8,32,12)s(40,40,12)t(40,24,20)++*c(32,24,20)*
t(16,16,12)s(40,40,20)t(32,40,28)s(24,32,20)*-+t(24,32,28)-
s(24,32,20)c(24,24,20)*c(24,40,20)*s(24,16,20)s(40,16,20)*-
s(40,40,20)c(32,40,20)t(40,40,20)c(16,16,12)+-c(24,32,20)*-
t(32,48,28)c(24,48,12)-s(32,24,12)-s(32,32,28)s(16,32,20)*+
s(16,32,20)c(40,24,20)s(40,32,28)s(16,40,20)-+t(40,24,12)--
s(24,40,28)c(40,24,20)c(32,40,20)t(40,48,12)-t(24,48,20)-*-
t(32,48,28)s(16,24,12)t(32,40,12)+-s(40,8,12)+c(32,40,20)*
s(16,24,20)c(32,24,20)s(16,40,20)+s(16,16,20)*t(24,48,12)+*
c(40,32,20)s(48,48,20)-s(48,40,20)t(48,16,12)+c(32,40,20)*-
s(40,16,20)s(40,32,28)+t(24,32,28)t(40,40,20)-s(40,32,20)+*
c(24,32,20)c(32,24,20)t(32,48,12)s(16,16,12)s(32,24,20)++*-
c(40,24,20)c(48,24,12)t(48,56,12)+t(32,56,12)++s(40,8,12)-
s(8,32,12)s(24,40,20)c(16,24,12)++t(24,48,28)*s(32,24,20)-
s(24,32,28)s(32,16,12)c(24,24,20)s(24,40,20)*+-t(32,48,20)-
s(16,32,20)c(40,32,20)+t(40,24,20)-t(24,40,20)c(16,24,12)+*
c(32,40,12)s(32,40,20)c(24,32,20)c(40,32,20)t(24,32,12)-*-+
s(24,48,12)s(40,16,20)+s(32,48,20)s(24,24,28)s(32,40,20)*+-
s(40,40,28)s(24,32,28)s(40,40,20)t(40,32,20)-+-s(40,24,20)-
c(24,24,12)c(16,24,12)+s(40,24,20)+t(24,48,12)+s(48,32,20)+
s(32,32,28)c(32,24,12)-s(40,40,28)s(40,32,28)**t(40,40,20)*
s(32,24,28)s(24,40,28)s(32,24,28)c(40,24,20)t(32,32,20)--+*
s(24,32,28)s(16,8,12)s(16,48,12)+-c(40,32,20)*c(24,48,12)-
c(24,32,20)s(32,24,20)t(40,48,20)+s(32,16,20)*t(40,32,20)--
s(32,16,20)t(32,32,28)c(40,40,12)-t(24,48,20)t(40,56,12)+--
s(40,40,28)c(24,32,20)s(16,40,20)*t(32,48,20)+s(40,48,20)+*
c(24,24,20)s(24,40,28)t(32,32,20)*c(32,40,12)+c(40,40,20)*-
s(24,24,28)s(32,48,20)c(32,24,12)+t(24,32,20)--s(48,40,12)+
s(16,32,12)t(24,48,28)s(24,32,28)c(40,32,12)-*+t(32,40,20)-
c(48,24,12)c(40,24,20)s(16,8,12)s(24,40,28)+s(40,24,28)**+
s(40,40,28)s(32,40,28)*s(48,16,20)s(48,32,20)*s(16,32,20)++
t(32,24,20)s(24,24,28)t(40,16,12)-s(24,48,12)+s(8,16,12)-*
s(16,24,20)s(32,32,20)s(32,24,20)*-t(32,48,12)c(24,16,12)+-
t(32,40,20)c(16,16,12)+s(32,40,28)+s(40,24,28)*c(32,40,12)-
c(24,24,20)s(32,40,28)t(32,32,28)*t(32,40,12)s(24,16,12)+--
s(40,40,28)s(24,16,20)+c(40,24,20)t(40,48,20)-s(48,8,12)+-
s(8,24,12)t(32,32,20)+s(24,16,20)+s(32,32,28)*c(48,32,12)-
s(32,32,20)s(32,40,20)+c(32,40,20)s(16,48,12)-*s(32,24,20)*
s(40,16,20)s(24,8,12)+s(32,32,28)t(48,32,12)-+t(32,32,20)-
s(32,40,28)c(40,40,20)t(40,40,12)--s(16,16,20)t(32,56,12)+-
t(40,40,20)s(24,16,20)s(32,24,28)++s(24,8,12)-t(24,48,20)-
s(48,8,12)s(32,40,20)c(40,32,20)*+s(16,48,20)t(32,48,28)*-
c(24,24,20)t(40,32,12)-t(32,40,28)-s(16,24,20)+t(24,24,20)*
s(32,40,20)s(40,32,20)s(48,24,20)*-s(40,40,12)+t(32,32,20)-
s(16,16,20)t(40,56,12)s(24,40,12)+s(32,24,20)+s(24,40,20)*+
c(48,48,12)c(40,40,20)c(40,32,12)-s(48,48,12)s(40,8,12)+-+
s(24,24,28)s(32,16,12)-c(16,24,12)s(8,48,12)+t(16,48,12)--
s(48,16,12)s(40,24,20)t(24,40,28)s(24,24,20)*-t(40,24,20)*+
t(40,24,12)c(40,40,20)c(32,48,12)-t(40,40,20)s(24,24,20)--+
s(32,24,20)s(32,32,20)*c(24,32,20)s(32,32,20)*s(40,32,28)**
s(40,32,28)s(32,48,20)*t(40,56,12)t(32,40,20)+t(24,32,28)*+
s(32,24,28)s(24,40,20)t(24,48,28)+s(24,32,20)*t(40,48,20)-*
s(32,40,28)s(40,16,12)t(40,32,20)+-s(16,16,12)+c(32,32,28)*
s(24,40,28)t(24,56,12)s(48,16,12)+t(32,32,28)+*c(40,24,12)-
c(24,32,20)s(16,16,12)c(40,40,12)+s(32,40,28)*c(40,32,20)*-
s(16,40,20)c(32,32,28)c(32,32,12)-+s(32,32,20)*c(16,16,12)-
s(32,40,20)s(24,24,20)t(24,32,20)-+s(40,40,20)*t(32,56,12)-
c(32,32,28)c(48,16,12)s(8,40,12)+-s(32,32,20)t(24,40,28)+*
s(16,16,12)s(48,16,20)+s(32,32,28)*t(24,24,20)t(32,24,12)-+
s(24,48,12)s(8,40,12)+c(32,32,28)*c(16,48,12)+c(48,48,12)+
s(48,48,20)t(40,32,12)-t(32,56,12)-s(48,40,12)c(40,40,12)++
s(32,32,20)t(32,32,28)c(24,24,12)-*c(32,32,28)s(16,48,12)-*
c(24,32,20)s(32,32,28)t(48,56,12)s(40,16,20)+-*t(40,40,20)-
s(40,16,20)c(24,24,20)*t(40,48,12)+t(32,48,20)+t(32,48,12)-
s(24,40,28)c(40,24,12)t(48,24,12)t(40,24,12)+s(32,48,12)+++
t(32,48,12)t(32,24,20)+s(48,32,20)t(32,48,28)t(16,40,12)++*
s(40,40,28)c(32,32,20)t(16,56,12)c(16,48,12)++t(40,24,12)-*
t(48,40,12)s(8,40,12)+s(24,40,28)s(24,16,12)++s(16,48,20)*
s(48,16,20)t(24,40,12)t(24,16,12)+t(32,24,20)+c(16,40,12)++
s(48,40,20)s(24,40,20)-s(8,32,12)t(32,40,28)+c(16,40,12)--
c(32,32,28)t(32,40,28)t(40,48,12)--t(40,40,20)+c(16,32,12)-
s(16,48,12)s(40,16,20)+t(32,40,12)s(48,24,20)+s(40,32,28)+*
s(32,24,28)c(32,40,20)s(32,40,28)s(32,48,12)-c(24,32,12)-*+
t(32,16,12)s(48,32,20)s(16,48,12)+s(16,48,12)-t(32,32,12)++
t(40,24,20)s(40,48,20)+c(40,24,12)t(24,24,20)+c(24,40,12)-*
c(24,24,20)s(40,24,28)t(32,40,28)s(48,40,20)-+*c(48,40,12)+
t(32,48,20)s(32,48,20)t(32,32,28)s(24,24,20)*s(24,32,20)*-*
c(32,32,20)s(40,32,28)s(24,24,28)c(32,32,20)*s(8,32,12)+*-
s(48,16,20)s(32,48,20)c(32,40,20)+-s(40,48,12)+c(40,40,20)-
c(24,24,20)s(24,16,20)*t(32,40,20)-s(24,40,28)s(32,32,28)*-
s(24,24,28)t(24,48,28)s(16,40,20)s(32,16,12)+*-s(48,24,20)-
s(48,40,20)t(24,48,28)-s(24,24,28)s(40,16,20)c(48,24,12)+*-
s(40,40,28)s(32,32,20)c(40,32,20)*s(24,32,28)s(16,40,20)*-*
c(40,24,20)c(32,24,20)s(40,40,20)s(24,24,20)--t(24,40,28)-*
s(32,40,28)c(40,24,20)+s(24,8,12)+c(48,32,12)-t(24,32,28)-
s(24,16,20)s(40,24,20)s(40,32,20)*c(32,40,20)s(32,32,12)---
c(16,40,12)s(48,40,12)+c(40,24,20)t(32,24,20)c(24,32,20)*--
s(40,24,28)s(24,40,28)s(32,32,20)+c(40,32,20)+*t(24,48,12)+
c(32,32,28)s(32,16,20)s(16,16,12)--t(24,32,20)-t(24,40,28)*
c(48,32,12)c(32,48,12)+s(40,24,28)c(32,32,28)*t(40,40,20)-+
s(48,32,20)c(24,24,12)+c(24,24,20)-c(40,40,12)t(40,24,12)++
c(48,40,12)s(16,40,12)t(32,16,12)+s(24,32,28)s(40,40,28)*++
t(24,40,28)s(16,48,20)+s(48,8,12)+s(40,24,20)-t(24,24,20)-
t(24,48,12)c(32,24,12)+t(40,40,12)t(40,24,12)+-c(16,16,12)-
s(24,24,28)t(24,32,28)c(40,40,12)s(24,16,12)+--c(32,32,20)*
s(16,40,12)s(24,32,28)c(24,24,20)*+t(32,24,20)s(48,40,20)--
c(32,32,28)c(32,48,12)-s(48,32,20)s(24,24,20)c(16,32,12)---
c(24,40,20)s(24,32,20)-t(48,40,12)s(16,16,20)+s(40,24,12)++
s(40,24,20)c(24,24,20)t(32,40,20)t(32,32,28)s(40,24,12)-+*-
s(24,32,28)s(32,32,12)-s(8,40,12)-s(40,40,20)-c(40,24,12)-
s(40,32,20)s(40,16,12)+s(32,48,20)s(32,32,20)*-s(24,16,20)-
t(16,24,12)s(24,32,28)t(32,32,28)*+t(32,40,28)s(40,32,20)**
t(24,56,12)t(40,32,20)+s(32,32,28)s(16,16,20)-s(40,24,28)**
s(40,24,28)c(32,48,12)s(16,16,20)+s(40,32,28)-+t(24,48,20)-
s(40,40,20)s(48,40,20)*s(24,24,20)-t(32,40,12)-s(24,40,28)+
s(24,40,20)t(32,24,20)-t(24,48,12)-s(24,24,28)t(24,24,12)-+
t(32,32,28)s(16,48,12)t(32,32,28)+t(24,40,28)s(32,40,20)***
t(40,24,12)c(48,24,12)+s(40,24,20)s(48,24,12)-s(24,24,28)*-
t(24,48,20)c(24,24,20)+s(32,24,28)t(40,32,12)-s(24,16,20)+-
s(40,32,28)s(32,40,28)t(16,48,12)-s(32,40,12)--c(40,32,12)+
c(40,16,12)c(32,40,20)c(24,32,20)*+s(24,24,20)c(24,32,20)**
s(24,16,20)s(8,16,12)s(48,40,20)s(40,16,12)++s(40,32,20)--
s(24,24,28)s(24,8,12)s(40,8,12)s(40,48,20)+s(32,32,20)-+-
c(32,32,20)c(32,32,12)s(16,48,12)+-t(24,32,28)t(24,48,28)+*
c(24,16,12)s(32,32,20)+s(40,32,28)*c(16,16,12)-c(40,32,12)-
t(24,40,28)s(48,40,12)s(40,40,28)t(48,32,12)-s(40,40,20)*+*
c(32,48,12)t(40,16,12)t(40,32,20)++s(16,16,20)t(16,16,12)-+
c(40,24,20)c(32,32,20)s(40,32,20)*s(48,32,12)+*s(24,40,28)*
s(24,24,20)s(24,32,12)-s(24,40,12)+t(40,32,20)+t(40,40,20)-
s(40,40,28)s(40,48,20)s(24,40,12)--c(40,32,20)s(24,40,28)+*
s(32,32,20)s(48,48,20)+s(48,40,20)*s(32,40,28)t(24,32,28)-+
s(24,40,20)c(40,32,12)+t(32,56,12)s(24,32,28)c(32,40,20)*+*
s(24,24,28)s(40,8,12)-s(32,16,12)t(40,40,12)+t(40,48,20)++
s(24,24,28)s(48,24,12)+s(40,24,28)s(8,24,12)+c(24,40,12)-*
c(24,40,12)s(32,24,20)+c(24,40,20)*t(24,48,28)s(24,8,12)+*
t(40,24,20)c(24,32,20)t(40,32,20)s(40,48,12)---t(24,40,28)-
t(32,48,28)c(32,32,28)s(40,40,28)s(48,48,12)-s(40,24,20)-**
s(40,32,20)c(40,40,12)s(48,24,20)+c(32,24,12)-+s(16,32,12)+
s(24,24,20)t(24,40,28)t(40,40,20)-s(32,16,20)+*s(40,24,28)*
s(32,24,20)c(48,24,12)-c(40,40,12)s(32,48,20)+-s(40,32,20)+
s(32,40,28)c(40,32,12)-t(16,24,12)-t(32,40,12)-s(40,48,20)-
s(32,16,12)s(48,24,20)s(40,24,20)t(32,24,12)-*c(40,40,12)-+
t(32,48,28)c(40,40,20)t(40,24,20)t(32,40,12)+*c(24,48,12)--
s(40,24,28)c(48,16,12)s(24,24,20)+s(16,24,20)*c(32,16,12)+*
t(48,32,12)t(40,16,12)s(24,24,20)+t(24,48,12)+t(48,56,12)++
s(24,24,20)c(32,24,20)c(32,32,28)s(48,40,20)-t(32,48,20)-**
c(40,24,20)c(40,32,20)t(32,32,28)s(40,8,12)+t(40,40,20)-*-
c(24,32,20)c(32,40,20)+t(32,40,20)s(48,48,12)+s(40,32,28)*-
s(24,48,20)s(16,40,20)t(40,48,20)t(40,32,20)t(32,40,12)-++*
c(32,32,20)c(24,32,20)*t(32,48,28)c(40,32,20)s(40,24,12)-+*
s(24,32,20)c(32,24,20)*t(24,48,28)+t(24,32,20)-s(48,40,12)+
t(32,32,20)t(24,48,28)c(40,48,12)-t(40,56,12)+s(32,40,20)*+
c(24,48,12)s(16,8,12)+t(32,40,28)+s(16,40,20)c(48,24,12)++
t(32,32,28)c(40,16,12)-c(32,32,28)s(40,24,28)t(24,48,28)--*
s(32,40,20)s(40,16,20)s(40,8,12)-+s(24,40,12)-t(48,48,12)+
s(40,32,28)s(48,40,20)s(48,24,20)*-c(40,16,12)+t(32,40,28)+
s(24,32,12)c(48,48,12)+c(40,48,12)s(32,16,12)+t(32,32,20)--
c(32,24,20)s(32,24,28)c(48,24,12)-s(24,32,28)*-s(40,24,12)+
s(16,24,20)c(32,32,20)s(32,8,12)s(16,16,20)++*s(40,40,28)+
s(24,40,28)s(8,48,12)t(40,24,12)+-s(16,32,12)c(48,48,12)+*
t(24,40,20)s(16,24,20)+s(24,24,28)c(40,32,20)*-c(32,48,12)-
t(40,32,20)c(40,24,20)c(32,32,28)s(48,40,20)**s(40,24,12)+*
s(24,24,20)s(40,40,28)-s(24,40,28)s(16,16,20)s(32,40,28)-+*
s(40,32,20)c(40,40,20)+s(40,24,20)s(24,16,12)s(16,48,12)+-*
s(16,40,20)c(48,40,12)+s(40,24,28)s(32,24,28)*-c(24,24,12)+
s(40,32,28)c(40,24,20)s(48,24,20)+s(32,24,12)-c(24,24,20)-*
t(32,32,28)c(32,32,20)*s(32,40,20)t(24,24,20)-s(48,48,20)+*
t(16,56,12)s(8,40,12)s(32,24,20)s(32,16,12)-++c(16,32,12)-
s(40,24,28)s(16,40,20)s(32,40,12)+s(40,48,20)--c(24,40,20)+
s(16,32,20)c(24,40,20)*t(40,24,20)+t(16,32,12)-s(40,48,20)+
s(32,32,28)t(24,48,28)s(40,16,20)+*s(48,40,20)c(40,24,20)+*
t(32,24,20)c(40,32,20)c(24,48,12)+*t(24,40,28)+t(32,40,20)-
s(40,48,20)t(24,24,12)+s(48,32,12)t(32,40,28)s(40,24,20)-+-
c(24,40,12)s(40,24,12)s(48,48,12)++s(32,24,28)s(16,48,20)--
s(40,40,20)c(24,24,20)-s(40,24,20)-t(16,16,12)+t(24,40,20)-
t(40,32,20)s(16,48,12)+s(24,32,20)s(32,40,28)c(48,40,12)-+*
s(24,24,20)c(40,16,12)c(32,40,12)+-s(32,48,20)+c(32,32,20)*
s(32,40,20)s(32,32,20)t(24,16,12)-*c(48,48,12)-t(48,56,12)+
s(40,40,20)s(16,8,12)s(32,48,20)+t(32,32,28)*c(48,16,12)+-
s(40,40,20)s(32,16,12)+s(40,16,12)s(40,40,12)+c(32,24,12)--
s(32,40,28)t(24,40,12)-c(32,24,12)-t(32,24,20)t(32,40,28)+-
s(40,40,20)t(24,40,12)-s(48,24,20)-t(24,48,20)+c(32,32,20)*
t(32,40,28)c(32,32,20)s(48,40,12)+c(32,24,20)*s(32,32,20)**
s(40,24,28)s(32,32,20)s(8,40,12)c(40,48,12)++s(16,24,20)-*
s(40,16,20)s(32,16,12)-t(24,32,12)+c(40,32,20)+s(24,32,28)-
s(24,40,20)s(32,40,28)c(24,40,20)s(16,24,20)-s(40,24,20)-**
c(48,48,12)t(16,56,12)+t(24,32,28)s(40,32,20)s(16,32,20)-+-
c(32,24,20)t(32,24,12)c(48,24,12)+*c(48,40,12)+s(32,24,28)*
c(32,40,20)c(32,16,12)s(48,32,20)t(32,48,12)++s(40,24,12)-*
s(24,32,20)s(24,48,12)-s(16,40,20)c(40,40,20)-+c(24,16,12)-
s(24,32,20)c(24,16,12)-c(24,40,12)s(32,40,12)+s(48,24,20)+*
t(40,16,12)c(32,40,20)+t(24,48,28)s(32,24,20)c(24,32,20)+*-
c(24,40,20)t(32,48,12)t(32,24,20)+s(32,16,20)+*c(24,24,12)+
c(24,24,20)t(40,24,20)s(40,32,28)t(24,24,12)t(16,16,12)+-*-
t(24,32,28)c(16,16,12)s(32,48,20)t(24,48,20)*+-s(24,40,12)+
s(24,48,20)t(32,48,20)t(24,24,12)+t(16,56,12)s(32,16,12)++*
c(40,16,12)s(16,48,20)+s(32,40,28)s(16,40,12)s(32,24,12)+*+
s(8,40,12)s(40,40,28)s(16,8,12)+t(40,32,12)-+c(32,24,12)-
s(40,24,20)t(24,40,28)t(32,32,28)*s(48,24,12)+s(32,24,12)+*
s(32,32,20)t(32,32,12)-s(32,24,20)s(48,40,12)+s(16,24,20)*-
t(32,40,20)c(40,32,12)+s(40,24,20)t(32,40,28)s(24,8,12)+*+
t(32,32,28)t(48,56,12)+c(24,48,12)+s(40,32,20)-t(24,48,28)*
s(40,32,28)s(32,40,20)c(40,24,20)c(48,40,12)+-s(8,8,12)+-
s(40,32,28)s(16,24,20)+t(32,32,28)c(24,24,12)-s(32,8,12)-*
s(32,32,20)s(40,40,20)s(24,40,28)*c(48,48,12)+t(40,32,12)--
t(48,40,12)t(32,40,28)c(32,16,12)-s(40,24,28)-+c(24,40,12)-
s(40,40,20)t(32,40,28)s(24,32,28)s(32,32,28)*s(40,32,20)**-
s(48,40,20)s(48,48,12)-s(32,32,28)+s(24,32,28)*t(32,24,12)-
c(40,48,12)s(16,32,20)t(32,24,12)+s(40,40,28)-c(32,32,28)*+
c(24,32,12)s(32,48,20)+s(24,48,20)s(48,32,12)s(32,32,20)++*
c(24,40,20)c(40,40,20)*s(40,24,20)s(48,32,20)c(40,24,20)*--
s(40,48,20)s(24,32,28)t(24,48,20)-s(48,40,20)-+s(48,48,20)+
s(24,24,28)s(8,16,12)c(32,32,12)+c(24,24,20)*s(24,40,12)+-
c(32,40,20)s(32,40,12)-s(32,24,12)t(24,24,12)+-t(40,56,12)-
t(32,40,28)s(16,8,12)s(40,8,12)c(24,40,20)++s(16,40,20)**
s(48,40,12)s(16,48,20)t(32,24,20)s(40,40,12)+s(40,48,12)-++
c(40,40,20)s(16,16,12)s(32,32,28)s(24,40,20)*s(32,40,20)*+*
c(24,24,20)s(48,48,12)s(16,24,20)+s(16,16,20)++s(32,16,12)-
t(32,40,20)c(40,24,12)-s(32,24,28)+c(40,40,12)-s(32,16,20)*
t(40,24,20)s(48,16,20)s(32,40,28)s(24,48,20)*+c(48,24,12)-+
s(24,24,20)t(40,40,20)+s(16,32,20)t(32,32,20)+*s(40,48,20)-
s(24,24,28)s(40,32,28)s(32,40,20)*s(40,48,20)*-t(24,40,28)-
s(40,16,20)s(24,40,28)c(32,32,12)c(48,32,12)++s(40,48,20)--
c(32,32,28)s(32,24,28)t(24,32,28)--c(24,40,12)-t(40,48,20)*
t(16,48,12)c(24,48,12)+s(16,32,12)t(32,40,28)+*t(40,56,12)+
s(32,48,20)c(32,32,20)t(40,48,20)--t(48,32,12)+s(40,40,28)*
s(24,32,28)c(16,16,12)t(24,40,28)s(16,24,12)-+s(40,40,12)-*
s(24,24,20)c(40,32,20)s(16,32,12)s(48,32,20)+s(40,16,20)---
s(48,24,12)c(24,24,20)s(24,24,20)s(24,32,20)*-+s(48,48,20)+
t(32,40,28)s(32,32,28)t(24,40,28)s(32,40,28)*t(48,24,12)+**
c(40,40,20)s(24,24,28)t(40,24,20)c(32,16,12)+s(48,40,12)++-
t(16,40,12)s(40,24,20)+t(40,24,20)-c(24,24,20)s(24,32,28)+*
c(40,32,20)s(40,24,28)c(24,40,20)+s(24,32,20)t(16,40,12)-*-
c(40,40,20)c(24,40,20)s(24,32,28)c(16,40,12)-*s(24,48,12)+-
s(24,32,28)s(32,32,28)s(40,32,28)**c(32,32,28)t(32,40,20)-*
s(40,16,12)t(32,40,28)t(24,40,20)-+s(24,24,20)+t(40,48,20)+
t(32,48,20)s(48,48,20)+t(40,48,12)s(40,24,28)+c(40,40,20)**
s(16,16,12)s(40,24,20)s(32,24,20)s(24,24,20)*t(24,32,20)+*+
t(40,40,20)s(40,24,20)s(48,16,12)c(32,32,20)+*+t(32,24,20)*
c(32,24,20)t(24,48,28)t(32,48,28)s(24,40,28)**s(40,40,28)*+
t(24,48,28)s(24,32,28)c(16,24,12)c(40,16,12)s(24,16,20)++*-
c(32,32,20)t(24,16,12)-t(40,16,12)-t(40,40,20)t(24,40,28)+*
s(16,24,20)s(48,48,20)s(24,32,12)+c(40,32,20)--s(24,16,20)*
s(16,32,20)s(24,32,20)t(24,40,12)t(24,24,20)+s(40,48,12)+**
s(32,32,20)c(48,48,12)+s(24,48,20)s(24,40,20)*-s(48,48,20)*
s(24,40,28)c(32,40,20)-s(48,48,12)t(24,48,20)+c(24,40,20)*-
s(24,24,20)t(48,16,12)+c(32,24,20)*s(16,40,20)+s(16,48,12)-
c(40,40,20)s(48,8,12)s(32,24,20)c(24,32,20)++t(40,24,20)*+
t(32,48,28)c(24,40,20)*t(40,48,20)c(40,24,12)+c(40,24,20)-+
c(48,24,12)s(16,32,12)s(16,32,20)t(16,40,12)-++s(16,24,20)*
s(32,48,20)s(16,40,20)s(16,16,20)s(24,24,28)s(32,32,20)+*--
s(16,16,12)c(40,40,20)s(40,40,28)s(32,32,20)**t(24,32,28)++
t(40,48,12)s(32,24,28)+s(40,32,28)*t(40,24,20)s(40,32,20)*-
s(40,16,12)s(24,16,20)+s(24,32,12)-c(32,24,12)+s(24,32,20)*
t(40,24,12)s(24,40,20)s(32,40,20)++s(8,24,12)+t(32,40,28)*
s(16,48,20)t(24,32,20)+s(24,48,20)t(24,48,28)**s(24,24,20)-
t(48,48,12)s(16,8,12)s(32,32,20)++t(24,32,12)-t(32,40,28)*
s(24,24,28)s(32,24,28)s(32,16,20)c(40,32,20)-*-s(8,48,12)+
c(40,24,20)s(24,40,20)-c(40,32,20)s(32,16,12)--s(40,32,12)+
s(40,24,12)s(32,24,12)+s(32,48,20)s(24,8,12)+s(40,32,12)++
c(32,24,20)t(40,16,12)-s(24,16,12)s(48,48,20)+s(32,32,20)--
c(24,24,20)s(40,40,28)t(40,24,20)-s(24,48,20)*-s(16,24,20)-
s(16,16,20)t(24,32,28)-c(32,32,12)c(40,40,20)s(48,24,20)*++
s(48,40,20)s(32,16,20)+t(40,48,20)t(32,40,28)*-c(40,32,20)-
c(24,24,20)s(16,24,20)t(24,48,12)s(40,48,12)t(32,32,20)++-*
t(24,40,28)s(24,24,12)-s(24,40,20)*c(40,24,20)t(48,40,12)--
s(40,24,12)s(32,40,20)+c(48,24,12)-t(32,32,28)*s(40,24,28)*
c(32,40,20)t(16,16,12)+s(40,32,28)-c(40,48,12)+t(24,40,12)+
t(24,24,12)t(24,40,20)s(40,24,20)c(40,16,12)--+t(16,40,12)-
t(24,40,20)s(8,48,12)-s(16,8,12)c(40,32,12)+-s(48,32,12)+
c(32,32,28)s(8,16,12)t(16,24,12)s(40,24,20)+c(40,32,12)-+*
c(32,40,20)s(32,24,28)*s(24,32,28)s(48,32,12)+s(24,24,28)**
s(24,32,20)t(32,24,12)-c(16,48,12)+s(40,32,20)+c(40,32,20)+
s(40,32,28)s(32,24,20)*c(40,32,20)*c(32,32,12)c(32,16,12)+*
t(24,32,20)c(16,32,12)s(32,24,20)s(32,40,20)t(24,24,20)--+*
s(32,32,20)s(24,24,28)s(24,32,28)c(24,40,20)***s(24,16,12)+
s(40,24,12)s(40,32,28)t(32,24,20)-t(24,40,20)-+c(40,32,20)+
c(24,40,20)t(40,48,20)+s(40,40,20)*t(40,24,20)+t(24,40,28)*
t(40,48,20)s(40,24,28)+c(40,24,12)-c(24,24,20)s(16,32,20)*+
s(40,24,12)t(32,48,28)+c(16,48,12)s(48,24,12)+c(40,24,12)--
s(32,32,28)t(32,24,12)t(24,32,12)t(16,48,12)++c(32,40,20)*-
t(48,56,12)t(32,32,20)+s(48,32,12)-c(32,24,20)c(24,40,20)--
t(32,32,28)s(24,48,12)t(32,32,28)t(24,40,12)s(32,24,20)+*+*
t(32,32,28)s(48,48,20)s(16,40,20)+t(24,48,28)*+s(40,40,28)-
s(32,32,28)s(48,48,20)-s(24,40,20)*s(40,32,20)s(24,48,20)-+
s(40,32,28)s(40,16,20)s(16,32,12)s(40,32,28)+s(24,40,12)-*-
s(24,24,20)s(16,40,20)-t(24,32,28)t(32,32,20)-+c(40,16,12)+
c(40,40,20)t(48,24,12)-t(32,48,12)-s(40,48,20)+c(32,48,12)-
c(40,32,20)c(24,24,12)-c(32,24,20)c(40,40,12)+*t(32,40,20)-
s(24,32,28)c(32,40,12)c(16,24,12)s(48,48,12)++t(32,32,28)**
t(32,32,28)s(24,40,20)c(40,32,20)s(8,40,12)+*t(16,48,12)-*
s(32,40,28)t(24,32,20)c(32,24,20)*-c(32,32,20)c(24,16,12)-*
t(32,48,28)c(32,24,20)t(48,56,12)c(32,32,20)t(24,24,12)-+*-
c(32,24,20)s(24,16,20)c(24,40,20)-+t(24,40,28)s(32,48,20)*-
c(40,24,20)t(32,32,20)s(40,40,20)c(40,32,20)*+*s(16,48,12)+
s(24,40,20)s(40,40,28)+s(24,32,20)-c(32,40,20)*s(16,40,12)+
t(32,32,28)s(48,32,12)t(40,48,20)+s(32,40,20)*-c(32,24,20)*
s(40,32,28)c(32,32,28)s(24,24,20)-*s(48,48,20)+t(32,48,28)-
s(8,48,12)c(40,48,12)t(32,32,20)s(40,48,20)t(32,48,20)*-++
t(24,48,20)t(40,48,12)t(24,24,20)s(48,24,20)-+-s(48,40,12)+
c(32,24,20)s(24,32,28)*c(24,40,12)-c(40,40,20)s(24,40,20)*+
s(32,40,28)s(48,16,20)+s(32,24,12)-s(16,48,20)s(16,24,12)+*
c(32,40,20)s(32,40,28)t(24,32,28)-*s(8,48,12)+c(40,32,20)+
c(32,32,20)s(32,16,20)c(32,32,20)s(40,40,20)*++c(16,24,12)+
c(32,32,20)t(24,32,12)-s(40,48,20)+s(40,32,28)t(24,48,20)-*
c(40,24,20)s(48,40,12)-s(16,24,12)s(48,32,20)+c(32,48,12)+-
t(16,16,12)s(48,16,20)+t(32,48,28)s(16,48,12)-c(48,16,12)++
s(24,32,20)c(40,40,20)+s(16,32,12)c(24,24,20)s(32,16,20)-+*
s(24,24,28)s(24,32,28)s(48,48,20)+t(32,24,20)*t(32,48,20)++
s(40,8,12)c(48,32,12)c(32,24,12)++s(48,32,20)*s(32,48,20)-
c(48,40,12)t(24,32,28)c(40,32,20)t(32,40,28)**+s(40,32,20)*
t(40,16,12)c(24,32,20)t(32,32,28)-c(48,24,12)++s(40,24,20)*
s(40,32,28)s(40,48,20)s(24,48,20)--t(24,40,20)c(32,16,12)++
s(40,32,28)s(16,40,20)+s(48,16,20)s(16,32,12)+*s(16,32,12)-
s(24,16,12)t(24,32,28)c(32,24,20)c(32,40,12)-*+t(16,16,12)+
c(16,40,12)t(32,32,28)t(32,48,28)s(40,40,28)*s(24,32,28)*-+
t(16,48,12)s(32,48,20)s(24,48,20)*t(24,40,12)t(48,16,12)+-+
t(32,48,20)s(24,24,20)s(32,24,28)s(40,40,20)*-c(24,32,20)*+
s(16,40,20)s(32,40,28)s(24,48,20)s(32,40,28)*s(48,24,12)+**
s(16,40,20)s(24,24,28)*s(48,48,20)t(24,40,28)-s(40,40,20)++
c(32,48,12)t(32,48,28)s(40,48,20)t(32,32,28)t(40,32,20)*-*+
c(32,16,12)s(32,40,20)t(40,48,12)-s(40,24,12)-c(48,16,12)++
s(48,40,20)s(48,32,20)s(32,24,12)-c(24,40,20)t(32,32,20)*-*
c(48,24,12)s(16,24,20)t(24,32,20)s(8,16,12)+*+s(32,40,12)+
s(40,40,28)t(40,24,20)*s(16,40,12)+s(32,32,28)*s(32,32,20)*
s(40,16,20)s(32,16,20)c(32,40,20)c(24,16,12)s(24,40,28)+*-*
s(48,48,20)c(40,40,20)*t(40,48,20)c(32,32,20)s(40,16,20)*+*
c(40,24,20)t(24,32,28)s(16,32,20)c(24,40,12)--+s(16,48,12)+
s(32,40,28)s(40,48,12)t(32,48,28)s(40,40,20)s(40,24,28)*-++
s(32,40,28)c(16,40,12)-t(24,48,28)s(32,48,20)c(48,24,12)+**
t(32,32,28)s(40,16,20)s(32,16,20)*-t(24,32,28)s(40,48,12)-*
t(48,40,12)s(32,32,20)t(24,40,28)s(40,8,12)+*+c(24,40,12)-
s(40,40,28)t(24,24,20)s(40,24,12)s(24,40,12)+s(24,32,28)*+*
s(24,40,28)s(24,24,28)*s(16,40,12)-c(24,32,12)+c(40,24,20)*
s(24,32,28)s(16,40,20)s(40,48,12)c(32,40,12)+t(48,48,12)-+*
t(32,48,28)s(48,24,20)s(48,16,12)-+s(16,48,20)c(40,32,20)-+
s(32,40,28)s(40,8,12)c(40,40,12)s(16,48,20)+++t(24,48,20)-
s(40,24,28)s(40,40,28)*s(24,40,28)t(32,32,28)*s(16,16,12)++
c(32,32,28)t(24,32,28)s(24,40,28)+*c(40,32,12)s(24,32,20)+-
t(48,24,12)t(32,48,28)+t(24,32,20)-c(32,48,12)-t(40,24,20)-
c(16,16,12)s(48,32,20)s(32,32,12)-c(48,40,12)-+s(40,40,28)+
c(32,24,20)s(16,48,12)+s(24,40,28)s(32,24,20)s(24,40,20)-+*
s(48,40,20)s(32,32,12)+t(24,32,12)-s(24,48,20)-c(40,32,12)+
c(24,32,20)s(8,8,12)c(40,24,12)s(16,32,12)++s(8,16,12)-*
c(32,32,20)s(32,40,20)t(32,32,28)*-s(24,40,20)+t(24,40,28)*
s(24,32,28)t(24,32,12)-s(32,48,20)s(24,24,20)t(16,40,12)++*
c(40,32,12)c(16,40,12)+s(40,24,20)s(32,32,12)s(24,32,12)+--
c(32,24,20)t(24,32,28)+c(24,24,12)-s(16,8,12)+c(24,16,12)+
c(40,40,20)c(40,32,20)s(48,32,20)s(32,32,28)c(32,40,20)**--
s(48,16,20)s(32,24,28)t(24,32,28)s(40,24,28)*-*s(24,24,20)+
t(32,48,20)c(40,40,20)t(32,32,28)*+t(16,40,12)s(32,24,12)+-
s(40,24,28)t(24,40,28)t(40,48,20)-c(32,24,12)+t(32,32,20)--
s(40,16,20)c(32,24,20)s(48,16,20)-s(16,16,12)--s(40,32,28)*
s(48,16,20)c(40,32,12)-t(24,40,28)c(24,40,20)*+s(32,24,28)*
t(24,48,12)s(32,24,20)t(40,40,20)s(8,16,12)+-+c(24,24,20)+
s(24,24,20)s(24,40,28)s(32,32,20)*t(24,40,12)-+c(24,40,12)+
c(32,32,20)s(40,24,20)*s(48,40,12)-c(24,40,20)+t(32,24,12)-
t(24,40,28)s(32,24,28)s(48,32,12)-+s(24,32,28)s(40,32,28)+*
s(16,48,20)c(32,40,12)t(24,48,28)s(24,32,20)*++c(24,24,20)*
s(24,40,28)s(32,32,28)t(32,24,20)-s(24,32,12)s(24,16,12)++*
s(16,48,20)c(32,16,12)+s(24,32,28)s(8,24,12)-t(32,32,28)**
s(40,24,20)s(24,40,20)+c(24,40,20)s(24,48,20)--s(32,24,28)-
s(40,48,20)t(16,40,12)+s(24,32,28)s(8,32,12)-s(16,16,20)-*
s(24,24,20)c(32,24,20)c(40,40,20)c(40,32,20)s(24,32,20)--+*
s(32,32,20)s(16,40,20)t(24,40,28)*+s(8,40,12)s(40,24,28)++
c(40,32,20)c(24,24,12)t(24,40,20)t(24,40,28)c(32,32,20)*++-
s(32,40,20)s(24,32,20)c(40,40,12)t(24,32,28)+*+c(24,32,20)+
s(32,16,12)c(48,40,12)+s(32,40,28)s(48,24,20)-s(48,32,20)+*
c(32,40,12)s(48,16,20)+c(40,32,20)s(48,48,20)*-t(40,40,20)-
s(48,24,20)t(32,56,12)+s(24,40,20)-t(48,16,12)t(40,48,12)++
c(40,40,12)s(40,16,12)+s(32,24,20)+s(24,40,20)s(8,32,12)-*
s(24,40,28)t(24,48,28)c(32,32,28)t(24,48,20)*--s(40,40,12)+
s(40,24,28)c(32,32,20)*s(48,16,20)+s(32,40,20)-t(32,24,12)-
c(32,40,20)c(16,32,12)-s(24,32,28)s(32,40,20)+*t(24,40,28)*
t(24,32,28)s(24,40,28)c(40,32,12)-c(32,40,12)-c(24,40,20)**
c(32,32,28)s(32,40,12)-s(48,16,20)+s(32,32,20)s(40,40,12)-*
c(32,32,20)t(40,16,12)-c(24,40,20)s(16,32,12)-+s(48,24,12)+
t(32,32,28)t(24,32,20)s(40,24,12)+-c(48,48,12)+c(24,48,12)+
c(40,24,20)s(40,48,20)+s(40,40,12)-c(32,32,28)t(32,40,28)--
s(32,32,12)s(32,24,28)t(24,32,28)-+s(32,32,20)-s(48,32,12)-
c(32,32,28)s(16,40,20)-t(32,32,20)t(16,24,12)+-s(40,8,12)-
s(48,40,12)s(24,8,12)t(32,40,20)+s(16,24,20)c(24,24,20)+*+
t(32,40,28)s(32,16,20)+s(32,32,28)*s(40,40,20)s(32,40,20)**
t(24,24,20)s(32,40,20)c(32,32,28)t(24,48,20)-*s(24,16,20)+*
s(40,40,12)s(24,48,20)s(32,48,20)s(24,32,28)c(24,24,20)*-*+
s(24,40,28)t(40,40,20)t(32,40,28)*c(32,24,12)+s(24,16,20)-*
t(32,48,20)c(24,24,12)+s(24,40,20)s(24,32,12)-t(24,56,12)-+
s(24,24,28)s(24,40,28)*s(32,24,20)s(48,16,20)--c(40,40,12)-
s(32,24,28)s(24,32,28)t(48,56,12)+s(16,24,12)--s(40,24,20)-
s(24,32,28)t(48,48,12)+s(40,32,28)*t(24,40,28)-c(24,40,20)+
t(32,32,28)s(32,40,28)t(48,16,12)+*c(24,32,20)s(40,40,20)*-
c(24,16,12)s(40,40,20)+s(24,8,12)-s(24,16,20)c(32,24,12)-+
t(24,32,28)s(24,40,20)s(32,16,20)s(24,32,20)t(32,32,28)*-+*
c(24,24,20)c(40,40,20)s(24,32,20)t(24,40,28)*c(32,48,12)---
c(40,24,20)t(32,32,28)s(16,24,12)+*c(16,24,12)-c(24,24,12)-
c(32,32,20)s(40,24,28)+t(48,24,12)s(48,40,12)s(24,16,20)++*
c(24,40,20)s(48,32,12)+s(32,24,20)s(32,32,20)*-t(32,48,28)*
s(32,8,12)t(48,40,12)+c(24,32,20)+t(24,48,20)-t(32,32,12)-
t(32,40,28)s(32,32,20)c(40,32,12)-s(40,32,28)*s(16,48,20)+*
s(24,32,28)s(40,48,12)-c(24,32,12)c(24,48,12)++c(16,24,12)-
c(48,40,12)s(40,16,20)+s(32,24,20)c(48,32,12)--t(40,24,12)+
t(24,32,28)s(40,40,28)s(48,48,20)s(24,40,28)-*c(24,32,12)+-
s(24,8,12)c(16,32,12)t(40,48,20)+s(24,16,20)-+s(40,40,28)*
c(40,24,20)s(24,32,12)+s(40,40,20)*c(32,24,20)*s(48,32,12)+
t(32,32,20)t(32,32,28)s(48,48,12)+c(40,40,20)c(24,48,12)--+
s(24,32,28)s(40,48,12)s(48,24,20)+*s(40,24,12)+t(32,16,12)-
s(16,40,20)s(24,8,12)c(32,24,12)++s(40,32,20)s(16,16,12)+-
c(32,32,28)t(24,32,28)s(24,32,12)s(40,48,20)t(40,32,12)-+*-
t(32,16,12)c(32,40,20)+s(40,24,28)*t(24,48,20)-c(16,24,12)-
s(40,32,28)s(16,40,20)s(24,32,20)s(32,32,20)*-c(24,32,20)+*
t(24,24,20)c(24,32,20)s(16,24,20)-t(40,16,12)s(48,16,12)++-
c(40,32,20)s(40,32,28)s(32,40,28)*t(24,48,28)*s(40,16,20)+-
s(32,32,28)s(16,32,20)*c(24,48,12)c(40,16,12)+s(40,40,28)*-
s(32,32,28)c(32,32,28)s(48,24,20)**t(32,48,20)+c(24,48,12)+
s(24,32,28)s(40,32,20)+s(48,24,20)s(48,16,20)*s(40,40,20)+*
s(40,32,28)t(24,32,20)+s(24,48,12)-c(24,32,20)t(24,32,28)+*
s(32,32,28)s(48,48,20)c(40,32,20)t(32,48,20)-+t(32,48,28)*-
s(40,40,20)s(24,32,28)*t(48,24,12)c(16,24,12)++c(24,32,12)-
t(32,40,28)s(24,40,20)s(48,48,20)-c(32,48,12)++t(32,24,12)-
c(40,32,20)s(40,48,20)-s(24,16,12)-t(24,48,20)s(40,32,20)+*
t(32,32,20)t(32,24,20)t(32,48,28)s(48,40,20)-c(32,32,28)*-+
s(16,48,12)c(32,40,12)+s(40,48,12)+s(16,40,12)-s(32,48,20)*
t(32,24,20)t(24,40,28)c(24,16,12)t(32,40,20)s(32,32,20)*+--
s(48,24,20)c(40,32,20)s(48,40,12)-c(24,40,12)c(24,32,12)+-+
t(32,48,28)c(32,32,20)s(40,32,28)s(24,32,20)-c(40,24,20)*--
s(32,24,28)t(24,40,28)*s(16,16,20)s(32,32,20)+*c(24,32,12)+
s(24,48,20)s(32,32,28)s(24,16,20)s(16,32,20)t(24,32,20)-+++
s(40,32,20)c(24,24,12)t(32,48,28)++c(32,24,20)*s(40,32,20)*
s(40,24,20)t(40,48,12)+c(24,48,12)+t(32,48,28)*t(16,48,12)-
t(24,16,12)c(40,40,12)s(40,24,12)t(48,32,12)++t(40,24,20)++
c(32,40,20)t(16,56,12)+t(24,48,12)t(48,56,12)+t(40,24,20)+*
s(32,40,20)t(40,48,20)s(16,24,12)c(40,16,12)++*s(32,48,20)+
s(8,32,12)c(32,16,12)+t(16,32,12)+s(16,40,20)s(8,40,12)--
c(40,24,20)s(32,40,12)+s(32,24,20)t(24,40,12)t(24,24,12)++*
c(32,32,20)c(16,40,12)+c(48,32,12)c(40,16,12)+s(32,32,28)**
t(32,32,28)s(32,40,28)c(16,32,12)t(40,48,20)+s(32,24,20)--+
t(40,32,12)t(32,40,20)+c(24,40,20)c(32,32,20)s(40,40,28)***
t(24,48,28)t(32,40,28)t(48,40,12)s(24,40,28)+*-s(32,48,20)+
s(16,40,20)s(32,48,20)s(24,40,28)s(48,40,20)-c(24,24,20)*--
s(8,24,12)c(48,32,12)s(24,16,20)c(32,40,12)+t(32,32,28)*++
t(48,24,12)t(40,48,20)+s(48,32,12)s(40,32,28)s(40,32,20)-+-
t(32,40,28)c(32,48,12)-c(24,24,20)t(32,40,28)-s(24,16,20)+-
t(40,56,12)t(24,32,28)+s(24,24,20)s(40,48,12)+*c(40,40,20)*
c(32,16,12)c(24,40,20)t(40,32,20)s(16,32,12)+*c(48,32,12)-+
s(32,40,28)c(32,16,12)+s(48,32,20)*s(32,40,28)t(24,40,20)-*
t(32,56,12)c(24,24,20)s(24,32,28)s(24,16,20)+s(16,16,20)*-+
s(40,32,28)s(32,48,20)c(32,40,20)t(32,56,12)-**s(8,32,12)+
s(32,40,28)c(24,24,20)+c(32,32,28)c(32,32,20)s(16,16,20)+*-
c(32,32,28)c(32,32,28)s(16,16,20)*-c(24,40,20)s(32,40,20)**
s(48,24,20)c(40,32,12)t(24,40,28)s(32,32,28)t(24,32,28)**+-
s(32,24,28)s(48,48,20)-s(40,40,28)-s(48,16,12)+s(24,24,12)+
s(48,40,20)t(24,48,12)s(32,24,12)++c(40,24,20)s(8,40,12)+-
s(40,40,20)c(16,40,12)c(32,24,12)s(40,48,20)+s(24,40,20)-+*
s(16,48,20)t(32,32,28)c(40,40,12)-+t(32,48,28)c(40,32,12)+*
s(40,16,20)s(24,48,20)s(32,24,28)-s(16,32,20)+s(40,24,12)+-
s(32,24,28)s(40,32,28)*s(32,40,28)*t(32,32,28)c(16,32,12)-+
c(32,32,20)s(24,24,28)t(24,32,28)*-s(24,40,28)t(32,32,28)*+
c(32,40,20)s(32,32,28)c(24,40,12)-t(32,40,20)+*c(48,40,12)-
c(24,24,20)s(48,24,20)s(40,48,12)+c(40,32,20)s(32,40,20)*--
t(24,32,28)s(32,24,28)c(16,16,12)-*s(40,32,20)+s(40,16,20)-
s(24,24,12)s(32,40,20)s(8,24,12)+t(24,40,28)s(32,48,20)+*+
s(32,48,20)s(24,32,20)-c(16,40,12)+s(8,16,12)s(32,24,28)+-
c(32,24,12)t(40,32,12)s(32,48,20)+s(32,32,28)s(24,32,28)+*+
t(48,24,12)s(40,8,12)+s(24,40,20)s(24,32,20)*+c(32,40,20)*
s(24,24,20)s(16,48,20)s(24,40,28)*-t(32,40,28)+c(40,32,20)*
s(32,48,20)t(24,48,12)-c(24,32,20)+c(32,32,28)c(48,24,12)-*
s(16,32,20)s(24,40,20)*s(32,48,20)+t(48,32,12)t(32,48,20)+*
t(24,40,28)s(40,32,28)c(24,32,20)-+c(32,16,12)s(48,8,12)++
c(32,32,20)s(40,40,20)*s(48,16,20)c(40,24,20)*c(32,32,28)*-
s(32,40,28)t(24,40,28)s(32,32,28)c(40,24,20)*-*c(32,40,20)*
s(32,40,28)t(32,32,28)*s(16,24,12)s(24,32,20)s(16,32,12)-+*
s(48,32,20)c(40,40,20)c(24,32,20)*-s(16,8,12)+c(48,40,12)+
s(40,40,20)t(24,32,28)c(40,32,20)c(40,32,12)---t(24,40,28)+
t(24,32,20)c(24,32,20)s(32,32,20)*t(24,48,28)+s(40,24,20)+*
t(32,48,28)t(24,32,28)+s(40,16,20)s(32,40,20)s(16,48,20)-+*
s(24,8,12)c(40,24,20)+s(48,16,20)s(40,40,20)t(40,32,20)*-*
s(24,32,28)c(40,40,12)-s(24,24,12)-s(16,24,20)-s(40,32,12)-
s(48,16,12)s(24,40,28)s(16,32,20)*+t(24,56,12)c(32,24,12)++
s(24,24,20)c(48,24,12)t(24,40,12)++c(40,32,12)c(32,24,12)+*
s(40,32,28)t(32,32,20)-s(40,24,20)s(40,40,12)-s(40,40,20)+*
s(48,8,12)c(24,24,20)+t(32,32,28)c(24,32,20)**t(16,24,12)+
s(40,40,20)c(32,48,12)+t(40,32,20)t(48,56,12)+t(48,24,12)+-
s(24,32,28)c(24,16,12)-s(40,48,12)+t(32,32,28)s(40,16,12)-*
t(24,56,12)s(16,40,20)+s(32,32,20)s(32,48,20)s(40,40,28)*--
c(32,32,28)c(16,40,12)-c(24,16,12)-t(24,40,28)t(40,24,12)+-
s(24,24,28)s(40,40,28)*t(40,40,12)+t(48,24,12)+t(32,40,28)*
s(16,24,20)s(32,40,28)s(32,16,12)c(24,40,12)+s(48,32,20)-*-
s(24,40,28)s(32,32,20)-t(24,40,28)s(40,40,20)+-s(24,40,20)+
s(40,40,20)c(32,40,12)-c(24,40,20)s(32,32,12)t(24,32,20)+--
t(32,40,28)c(24,32,20)t(32,24,12)--s(16,40,20)-s(32,32,12)+
t(24,56,12)c(40,40,20)c(24,24,20)-+c(24,24,12)+s(48,24,20)-
s(48,40,20)t(24,40,20)s(40,40,20)+t(16,56,12)+t(40,32,20)*-
c(40,32,20)c(32,24,12)s(8,24,12)+c(32,32,20)s(24,40,20)---
c(40,24,20)c(40,32,12)-s(40,16,20)c(40,32,12)+t(24,40,28)-*
t(24,24,12)s(40,40,20)t(24,24,20)t(40,32,12)+s(40,24,28)*-+
s(32,32,20)c(24,24,12)t(32,32,20)t(24,32,28)*+c(40,32,12)--
t(32,56,12)t(32,32,28)t(40,40,20)*+s(8,24,12)t(40,56,12)+-
s(48,32,20)s(48,48,12)t(32,32,28)+c(48,32,12)t(32,40,28)+*+
s(48,16,20)t(40,24,20)-s(32,24,20)+c(32,40,20)-t(40,24,12)+
s(16,32,12)t(24,32,20)c(32,16,12)-+c(32,48,12)s(16,32,12)+*
t(24,32,28)t(16,16,12)t(24,32,28)c(24,24,12)-s(32,32,28)*+*
c(24,40,20)t(32,24,20)+s(40,24,28)s(32,40,20)c(16,32,12)-+-
s(40,24,28)s(24,24,28)s(32,40,28)*s(40,32,12)--s(40,48,20)-
s(32,16,20)s(48,40,20)s(40,16,20)c(32,32,28)*c(40,48,12)+*+
s(24,40,20)s(32,32,20)+c(24,24,20)*c(40,16,12)-s(24,16,12)-
c(40,32,20)s(40,24,20)+c(32,32,20)t(24,32,28)**s(48,48,12)-
c(40,24,20)s(24,16,12)s(16,8,12)++s(40,32,20)t(40,40,12)--
s(32,40,28)s(32,24,28)s(48,32,20)*-t(40,48,20)-s(40,48,20)-
c(40,24,12)t(24,24,20)+s(16,16,12)+t(16,56,12)+s(16,16,12)-
c(40,40,20)t(32,40,20)s(40,32,28)c(48,32,12)-s(8,32,12)+*-
t(40,48,20)s(40,24,28)+s(16,32,20)c(32,24,20)t(48,24,12)-+*
t(24,40,28)c(24,40,20)*c(24,48,12)-c(24,32,20)s(32,32,28)**
s(24,24,20)s(32,48,20)s(32,32,28)*+c(16,32,12)-s(40,32,28)*
t(32,32,28)s(40,48,20)-t(40,16,12)-c(32,40,20)*s(16,8,12)+
s(32,40,28)s(48,24,20)s(16,32,20)t(24,40,28)*+-t(32,32,28)+
s(24,40,28)t(24,48,20)-c(32,24,12)+t(32,24,20)s(24,24,20)*-
t(32,40,28)s(24,40,20)t(32,48,28)s(48,8,12)+*s(32,48,20)*-
c(24,16,12)s(40,32,20)+s(48,32,20)t(32,32,28)*t(40,16,12)--
s(24,40,28)s(48,40,20)-t(24,24,12)s(16,48,20)t(24,32,12)-+*
t(16,56,12)s(24,32,20)s(24,32,28)s(32,24,12)-*+s(48,24,12)+
t(24,48,12)t(24,24,20)+s(40,24,20)s(24,24,20)s(40,16,20)---
s(48,24,20)s(40,40,20)-s(32,32,28)c(40,16,12)-c(40,32,12)-+
c(40,24,20)t(32,48,12)+t(40,32,20)s(16,40,20)t(32,24,12)+--
c(32,40,20)s(40,24,28)s(24,48,20)+*s(24,48,12)-t(32,56,12)-
t(16,56,12)s(32,32,20)c(16,24,12)-+s(16,40,20)s(40,40,12)+*
c(32,24,20)c(40,24,20)*t(24,40,20)s(24,48,20)*c(40,16,12)++
s(48,40,20)c(32,40,20)s(24,40,20)*s(24,24,28)t(32,32,28)+*+
c(48,48,12)s(8,32,12)+t(16,32,12)-c(48,48,12)s(48,40,12)+*
s(40,16,20)s(40,32,28)t(32,40,20)c(32,24,12)--c(32,32,20)*+
t(32,56,12)s(24,24,20)c(16,32,12)c(40,24,20)+*+c(16,16,12)-
s(32,40,28)s(40,40,20)s(16,48,20)s(48,24,12)++t(32,32,20)--
s(48,40,20)c(40,32,20)s(40,16,12)-c(32,48,12)-s(32,40,12)-*
c(32,48,12)c(32,24,20)t(16,32,12)s(40,40,28)+*s(24,40,20)*+
s(24,48,20)s(16,40,12)-t(32,40,20)t(24,24,20)-t(24,16,12)++
c(32,40,20)s(8,8,12)+s(40,32,28)c(24,40,20)+s(48,24,12)-*
c(40,32,20)s(48,32,20)*t(24,40,12)+s(32,32,28)s(16,48,20)+*
s(24,32,28)c(24,40,20)s(40,48,20)+*s(16,24,12)-c(16,48,12)-
c(24,24,12)s(16,24,12)s(16,48,20)++s(16,16,12)c(16,40,12)+*
t(24,32,12)s(40,24,12)+s(48,16,20)t(40,24,20)-+s(40,40,28)+
c(40,24,20)s(32,32,28)*t(40,48,20)s(16,16,20)c(16,24,12)-+-
s(48,16,20)s(24,24,28)t(24,40,28)s(24,40,20)**+c(32,32,20)+
s(24,16,20)c(40,24,12)t(24,32,28)s(24,40,20)s(40,24,20)+*+-
t(32,40,28)c(32,32,12)-t(32,16,12)+s(32,40,28)*c(24,16,12)+
s(48,24,12)t(40,24,20)+s(32,48,20)+t(32,40,28)t(24,48,28)**
t(40,24,20)s(40,48,20)+s(32,32,12)c(40,48,12)+t(32,48,12)--
s(24,24,28)t(24,40,20)-s(16,48,12)+c(40,48,12)c(24,40,20)+*
s(40,40,28)c(24,16,12)c(40,32,12)+-c(48,32,12)s(24,8,12)+-
t(32,40,20)c(32,32,20)c(32,40,12)t(16,16,12)+*+t(24,32,28)*
t(16,48,12)t(32,32,20)+t(48,32,12)s(32,24,28)s(32,40,20)*+*
c(48,24,12)c(32,32,20)+t(16,16,12)t(40,32,20)+-s(32,32,28)*
s(32,32,28)s(40,40,28)t(48,24,12)-t(32,16,12)+s(48,32,20)+*
t(24,32,28)s(32,16,20)s(32,48,12)+s(40,24,28)s(32,16,20)+**
t(32,40,12)t(40,48,20)+t(16,24,12)t(32,40,28)+s(24,16,20)+*
s(40,40,28)t(24,48,28)-s(40,24,28)s(32,32,20)-t(24,48,12)++
s(16,48,20)s(48,24,20)+t(24,48,28)*s(16,16,12)t(16,40,12)+-
t(32,40,28)s(32,16,20)s(40,16,20)*s(24,24,28)*-s(32,32,28)*
c(40,32,20)s(16,16,12)t(48,24,12)+s(40,24,20)+s(16,16,20)--
s(32,40,20)c(32,24,20)s(24,40,28)s(40,40,20)-s(8,40,12)-+*
c(32,40,20)s(16,32,12)-t(24,32,20)s(24,40,12)++s(40,32,28)+
s(32,32,28)c(16,32,12)s(32,32,20)t(24,32,28)*+*s(40,24,12)-
s(40,40,20)s(32,40,20)*s(32,8,12)+c(32,40,12)s(48,40,20)+*
t(32,32,28)s(32,32,28)s(24,16,12)c(40,32,20)+**c(40,48,12)-
c(32,32,20)s(32,40,20)*s(48,48,12)c(32,32,12)s(16,24,12)++*
c(24,24,20)t(32,32,20)c(32,40,20)t(24,24,20)+c(32,24,20)***
s(16,8,12)s(48,24,12)c(32,32,28)s(40,32,20)-++s(16,24,20)*
s(8,24,12)s(32,24,28)+s(32,16,20)t(40,24,20)t(32,24,12)+*-
c(24,24,20)t(40,16,12)t(24,32,20)t(32,40,28)+s(24,48,20)*+-
s(40,40,28)s(8,32,12)s(24,40,28)s(32,32,20)*+*c(32,16,12)+
c(32,40,20)s(16,32,20)t(32,32,20)s(48,24,12)+-+t(40,24,20)-
t(24,40,28)c(40,24,12)+s(40,32,28)*s(48,24,12)s(48,48,20)+-
s(16,8,12)s(24,40,28)s(32,24,12)-+t(32,24,20)c(16,32,12)+-
s(48,16,20)s(8,16,12)s(24,40,12)+s(40,40,28)+-s(24,32,12)+
s(40,40,20)s(32,24,28)c(48,40,12)-+t(24,48,28)c(32,32,28)**
c(40,32,20)t(24,40,20)s(32,24,20)s(32,40,28)s(32,40,12)----
s(24,16,12)c(40,16,12)c(24,24,12)++c(24,24,20)*c(24,32,20)*
t(32,40,28)s(40,40,20)s(48,48,20)-s(8,24,12)s(48,40,12)++-
s(48,16,20)c(24,32,20)-s(24,40,28)s(24,32,20)-+s(16,48,20)+
t(32,24,20)s(32,24,20)s(32,32,12)-+s(16,32,12)c(40,48,12)+-
s(24,16,20)s(40,24,20)c(32,24,20)s(24,40,28)*s(24,40,20)*+-
s(40,40,12)t(24,48,28)+t(48,40,12)t(32,48,20)c(40,32,12)-+*
s(48,24,20)s(32,40,28)s(16,32,12)-+c(40,32,20)*s(32,48,20)-
s(48,16,12)s(48,48,12)s(16,48,12)+s(32,32,20)++s(40,48,20)*
c(32,40,12)c(40,32,12)+s(48,24,20)+c(32,48,12)-t(48,40,12)-
t(32,48,28)t(32,40,20)t(16,24,12)t(24,40,12)+++s(16,8,12)+
t(40,40,12)c(24,24,20)+s(48,48,20)-s(24,40,20)-s(32,32,28)*
c(40,32,20)c(24,24,20)*c(24,24,12)+s(40,40,12)t(16,48,12)+-
s(40,40,28)s(40,24,20)s(32,8,12)-+s(48,32,20)s(48,48,20)*-
s(32,32,12)s(16,8,12)+s(40,16,20)s(24,16,20)++c(48,24,12)-
t(32,32,28)s(48,16,12)s(24,32,28)+s(24,48,20)*s(32,24,20)+*
s(16,48,20)c(16,32,12)s(40,32,12)+-t(24,32,12)+t(32,24,20)-
s(40,32,28)c(32,32,12)-t(32,24,12)+s(24,48,12)+s(24,24,12)-
s(32,24,28)s(48,32,20)c(40,24,20)c(32,32,20)s(32,48,20)*-*-
c(24,32,20)c(40,40,20)+c(40,24,20)t(32,32,28)*-t(24,32,28)*
s(24,40,20)s(40,40,28)c(32,32,20)c(32,40,20)t(32,40,20)--*+
c(32,24,20)t(32,40,12)-t(24,24,20)-c(32,32,20)s(24,40,20)++
s(32,48,20)s(24,40,20)s(24,40,28)c(32,24,12)c(48,32,12)+-**
s(40,40,28)c(24,16,12)t(24,40,20)+c(32,32,20)c(32,24,20)**-
s(48,32,20)t(40,40,20)s(40,24,12)-s(32,24,28)++s(32,40,20)*
c(32,40,12)c(32,24,20)+s(24,32,20)s(48,24,20)t(40,16,12)--+
s(8,32,12)s(40,40,20)t(32,40,28)t(24,40,28)**+s(24,32,20)+
s(16,32,20)s(32,32,28)*s(24,24,28)t(40,40,20)-c(32,32,20)**
c(40,24,20)t(32,32,28)t(40,24,20)s(48,40,20)t(40,16,12)+*--
c(40,32,20)s(40,40,20)*s(40,40,28)c(32,24,20)**c(40,48,12)+
s(24,40,20)t(32,40,28)t(32,16,12)+t(40,32,20)c(48,32,12)+-*
t(32,24,12)s(8,8,12)s(40,40,20)+t(40,48,20)+c(24,24,20)-+
c(32,32,20)t(32,32,28)c(40,32,20)s(40,32,20)s(40,48,20)----
s(16,48,20)t(32,40,28)t(24,32,20)-s(24,40,20)+t(40,48,20)-*
t(16,40,12)t(40,40,20)s(24,24,20)-+c(16,48,12)-t(40,24,20)-
s(40,32,28)c(48,24,12)s(24,24,28)s(40,8,12)-c(24,48,12)++*
c(32,32,20)s(24,16,12)c(40,48,12)+-s(32,48,20)-t(24,24,12)-
s(32,16,20)s(16,48,12)s(32,24,20)s(48,16,12)-+c(32,40,20)*-
s(48,32,20)s(24,16,12)s(48,24,20)t(32,48,12)+s(32,24,28)*+*
s(48,32,20)c(32,24,20)*c(16,32,12)+c(32,32,28)t(32,32,28)--
s(40,24,20)c(32,24,12)-s(48,48,20)+s(40,40,28)*c(32,32,20)*
t(32,56,12)c(40,16,12)t(32,24,12)c(16,32,12)++s(40,16,12)-+
t(32,48,28)s(40,16,12)t(32,40,20)+*t(48,56,12)s(32,32,20)+*
t(32,40,28)t(32,48,28)t(40,32,20)+s(32,32,20)c(40,32,20)***
c(24,32,20)s(24,40,28)*t(48,56,12)+t(24,24,20)*s(8,8,12)+
t(32,48,28)s(24,40,20)*c(24,32,20)s(16,40,12)-s(40,48,20)--
c(40,24,20)t(40,48,20)s(24,48,12)-s(24,48,20)t(32,48,20)*++
t(32,48,20)s(32,40,20)s(24,32,28)c(40,24,20)-s(16,48,20)+*+
c(32,32,20)s(24,32,28)t(24,40,28)s(48,48,20)-*+t(32,48,12)-
s(48,32,20)c(40,40,20)c(32,24,12)-s(32,32,28)*s(24,48,12)--
s(40,24,28)s(48,24,20)s(40,8,12)+c(40,24,20)c(24,16,12)-*-
s(40,32,28)s(32,16,20)s(40,48,20)+*t(24,48,20)s(24,16,20)+-
c(24,40,12)s(48,32,20)s(40,32,20)*s(16,48,12)++t(24,40,28)-
t(24,48,28)c(24,40,20)s(8,8,12)+c(24,24,20)+*s(16,32,20)-
c(32,32,28)s(32,32,28)t(24,40,28)t(40,24,20)+t(32,40,12)-*-
t(32,32,28)t(24,48,12)+t(32,40,12)-c(48,48,12)-s(40,32,28)*
s(40,40,20)c(16,32,12)+t(32,40,28)*t(48,40,12)s(32,16,20)+-
t(16,32,12)s(32,40,28)s(32,24,28)t(24,40,28)*-s(16,8,12)++
s(8,40,12)t(16,24,12)t(32,40,28)++c(40,32,20)s(24,32,28)*-
s(32,40,28)t(48,40,12)-s(32,24,28)t(24,48,28)+s(48,40,20)-*
t(24,48,28)s(24,48,12)-s(24,24,28)+s(24,16,20)s(32,32,20)--
s(16,32,20)c(24,24,20)c(40,24,20)s(48,32,12)-c(24,24,20)*--
t(32,40,28)s(16,32,20)c(24,32,20)*-s(48,8,12)+t(24,40,28)-
s(40,24,28)s(32,32,28)t(32,40,28)-+s(40,40,20)c(40,48,12)-*
s(32,40,20)c(40,40,20)s(32,48,12)-c(40,16,12)-+s(48,24,20)-
s(48,16,20)s(24,16,12)+s(24,16,12)-s(40,16,20)t(24,48,28)+*
t(48,16,12)s(16,8,12)s(40,40,20)c(32,40,20)*++s(48,40,20)*
s(24,40,28)s(48,32,20)-t(32,40,28)t(32,48,12)--s(16,24,12)-
s(32,8,12)t(32,40,28)+t(24,32,20)s(16,32,20)+s(32,32,28)**
c(40,32,12)s(16,24,12)+s(8,16,12)-c(24,40,12)t(48,48,12)+-
s(16,8,12)c(32,24,20)c(24,16,12)-s(32,24,12)-t(16,48,12)++
s(24,8,12)s(48,32,12)+s(16,32,12)s(32,40,12)s(24,40,12)+++
s(40,24,28)s(24,24,20)t(32,40,20)s(48,24,20)+-+t(24,32,20)-
s(32,16,20)c(40,32,20)c(24,40,20)t(32,32,28)c(24,32,20)***+
s(16,40,20)s(16,24,12)s(48,48,20)s(24,32,28)-+t(32,48,28)+*
t(32,32,28)t(24,32,28)s(40,40,12)-*c(32,32,20)*s(32,48,12)-
s(40,40,28)t(32,48,28)*s(24,40,20)c(32,32,12)s(40,40,20)+**
c(32,40,20)t(32,48,28)t(24,32,28)++s(32,48,20)-s(24,24,28)*
s(40,40,28)c(24,24,20)t(32,32,28)*s(24,24,20)*-c(32,40,12)-
s(32,32,20)s(32,16,12)-c(48,48,12)+s(16,24,20)c(32,24,12)--
s(32,40,20)t(48,48,12)t(32,40,28)c(40,48,12)-+t(40,24,12)-*
t(16,24,12)s(40,32,12)t(32,48,28)+c(40,40,20)*+s(32,8,12)+
s(40,32,20)s(32,32,28)c(24,40,20)*s(24,32,20)+s(8,8,12)+*
c(24,32,20)s(24,16,20)-t(48,40,12)s(32,8,12)+s(16,32,20)++
s(40,16,20)c(48,32,12)+c(24,32,12)+c(32,24,20)t(24,40,28)-*
c(24,40,20)t(32,48,28)s(24,16,12)+s(40,32,12)+*t(24,40,28)*
c(24,32,20)c(40,24,20)t(32,48,28)+t(24,40,28)c(24,24,20)*-*
s(32,8,12)c(32,32,28)c(24,16,12)-+c(32,24,20)*c(40,24,12)-
t(24,32,28)t(40,40,12)-s(16,8,12)c(24,48,12)+c(40,32,20)--
s(40,32,20)s(32,40,20)s(24,8,12)+c(24,16,12)-t(40,40,20)*+
s(40,24,20)c(40,24,20)s(32,24,28)*t(24,32,28)-*s(48,8,12)+
s(24,24,28)s(32,24,28)*c(32,40,20)-t(40,32,12)c(40,16,12)+-
t(40,32,20)s(48,16,20)s(48,16,12)-+c(24,32,20)c(32,24,20)+*
s(32,48,20)s(40,24,28)s(24,40,28)s(16,40,12)-s(32,40,12)---
t(16,48,12)s(16,40,12)+t(40,56,12)+c(16,48,12)+t(48,56,12)-
s(32,24,28)s(48,8,12)-t(40,24,20)*t(24,48,20)c(40,32,12)++
s(24,40,20)c(16,24,12)c(40,32,20)s(32,48,20)-+-s(32,24,20)+
c(40,32,20)s(48,24,12)-s(32,16,20)t(40,16,12)--t(40,40,12)-
c(32,32,20)s(16,48,20)-c(48,32,12)+c(32,24,20)s(16,24,20)-*
s(32,24,20)t(32,32,28)t(24,48,20)-c(32,40,20)c(16,24,12)-*-
c(24,32,20)t(32,48,20)s(40,40,20)+t(32,40,20)-c(40,32,20)+*
c(32,24,12)s(24,16,20)t(48,16,12)++t(40,24,12)-c(24,40,20)-
t(32,48,28)s(32,40,20)s(32,32,20)*c(16,32,12)-+t(32,24,20)+
s(40,8,12)s(40,16,12)+s(40,24,20)t(32,32,28)c(32,48,12)-*+
c(32,32,20)t(40,48,20)s(40,32,12)--t(32,40,12)-t(24,48,28)-
c(40,40,20)t(32,32,28)t(40,32,12)-c(40,40,20)*-s(40,40,12)-
s(24,32,28)s(16,48,20)s(40,40,20)t(32,32,20)+-c(24,48,12)--
t(24,48,20)s(24,24,12)s(32,40,20)+t(48,16,12)s(24,24,20)+*-
t(32,48,28)s(32,32,28)t(40,40,20)--c(16,16,12)t(40,48,12)++
t(40,40,20)s(8,8,12)c(16,40,12)++s(24,40,28)*s(32,40,20)*
c(32,40,20)s(32,24,28)s(24,32,28)c(32,16,12)--+s(16,40,12)-
s(32,32,20)s(40,32,20)s(16,32,20)-c(24,32,20)s(32,40,20)+*-
s(48,40,20)s(40,32,28)+s(40,32,20)-s(40,32,28)*t(48,16,12)+
c(24,24,20)s(32,32,28)c(40,40,20)s(48,8,12)+*s(16,40,20)--
s(40,48,12)c(24,24,20)c(32,40,20)s(16,40,20)*+s(16,24,20)*+
c(40,40,20)t(32,48,28)s(40,32,20)-c(48,24,12)+s(40,16,20)-*
t(24,40,20)t(48,40,12)+t(40,48,12)-t(32,48,20)s(40,8,12)+-
s(24,24,28)c(32,40,20)*s(32,24,20)+c(40,16,12)-t(16,24,12)-
t(32,40,28)c(24,48,12)c(16,16,12)+s(40,48,20)--t(24,48,28)*
s(32,16,20)t(32,40,28)t(24,32,28)s(32,24,28)*+*c(16,40,12)+
s(16,16,12)s(24,40,28)s(40,40,28)c(32,24,12)-*+t(24,48,12)-
s(48,16,20)s(48,32,20)s(24,40,28)+c(40,40,20)-t(32,32,28)--
s(24,40,12)c(24,24,12)s(16,32,12)++s(32,24,28)+s(24,40,28)-
s(32,24,28)c(24,40,20)s(16,32,20)s(40,24,20)c(40,24,12)-+**
s(32,32,20)s(40,48,12)-c(32,40,20)s(16,40,12)-*t(48,32,12)+
s(48,40,20)t(16,56,12)c(40,40,20)+c(40,32,20)*s(48,16,20)-*
c(32,40,20)t(40,32,12)-s(32,24,20)t(24,32,28)s(32,24,12)-+*
c(24,24,20)c(32,32,12)s(16,48,20)+-t(16,40,12)s(8,24,12)++
s(32,24,12)s(24,32,20)s(24,32,12)-+s(48,32,20)s(48,8,12)+-
c(32,32,20)s(48,32,12)-s(16,40,12)-t(24,40,12)+c(40,16,12)+
c(24,40,12)s(24,48,20)s(24,32,20)-+s(40,24,20)t(32,40,20)+-
c(40,32,20)s(48,24,20)*s(32,32,20)s(40,40,28)*+c(48,40,12)-
t(32,16,12)s(40,8,12)+s(24,32,28)s(40,24,28)-+s(24,24,20)-
c(40,48,12)c(32,32,20)+s(16,8,12)t(32,40,12)c(48,40,12)++*
t(32,24,20)c(40,40,20)t(32,48,20)*+t(24,48,20)+c(48,40,12)+
s(24,40,28)s(40,40,20)s(24,24,12)t(24,48,28)+s(40,32,28)*--
s(16,40,12)s(24,40,28)t(16,32,12)c(40,32,20)+*t(24,32,20)*+
c(32,40,20)s(48,16,20)c(40,24,12)s(24,24,20)++s(32,40,12)+*
c(40,24,12)s(40,32,20)c(48,16,12)-+s(48,40,20)+c(24,32,20)*
s(40,48,20)s(40,40,20)t(48,48,12)--t(24,32,20)+c(24,24,20)-
s(48,48,20)s(40,32,28)*s(24,32,20)t(32,16,12)c(16,40,12)+*+
s(48,48,20)s(8,48,12)+s(16,32,20)-s(32,40,28)*s(24,32,28)+
s(16,16,20)t(16,16,12)s(40,32,28)+s(24,40,28)-s(40,48,20)--
c(40,24,12)t(32,48,28)s(32,32,20)s(24,16,12)-*t(24,32,12)++
s(32,40,28)s(16,32,12)s(16,24,12)+-s(48,16,20)-c(16,40,12)+
s(32,32,20)s(24,40,20)c(40,40,12)c(48,48,12)+-s(16,16,20)+*
s(32,24,28)s(40,24,12)t(32,48,12)+-c(24,32,20)s(48,16,20)-*
t(40,32,20)s(40,24,20)+s(32,40,28)*t(40,32,12)-c(32,48,12)+
s(24,24,28)t(32,40,28)c(32,40,20)*+t(24,32,20)-s(16,48,12)+
s(32,16,20)t(32,48,20)t(16,56,12)+s(24,40,28)s(32,40,28)**+
c(32,24,20)s(48,40,20)-c(16,32,12)t(24,40,28)+t(40,40,20)+-
c(40,24,12)c(24,40,20)+s(32,8,12)+s(24,40,28)*s(24,24,28)*
c(24,32,20)s(32,16,20)-c(32,32,20)s(48,48,20)s(32,40,20)+**
t(48,40,12)s(32,32,12)s(16,48,20)s(8,32,12)+c(40,40,20)-++
c(48,16,12)s(24,24,28)c(24,32,20)-t(40,16,12)++t(32,16,12)-
s(32,24,28)s(24,32,28)s(16,40,20)*+t(32,40,28)*c(32,24,12)-
s(24,16,20)t(24,56,12)+s(16,16,20)*t(24,40,28)s(24,32,12)--
s(48,40,20)s(40,48,20)*t(32,48,28)+s(16,40,20)s(32,32,20)--
s(40,32,28)t(40,40,20)c(32,24,20)+t(24,16,12)-*s(32,16,20)+
t(24,32,28)s(32,40,20)+c(48,24,12)t(40,40,20)c(16,24,12)+++
t(24,40,12)s(48,32,20)+c(24,40,20)s(24,24,12)s(32,8,12)+--
c(40,32,12)s(48,32,20)s(24,16,12)+s(32,16,20)s(32,32,28)*-+
s(24,32,28)t(32,32,28)s(24,24,28)s(32,24,12)t(24,40,20)+*-+
s(40,32,28)t(24,40,28)t(32,32,12)-s(32,40,20)*s(40,32,20)+*
s(48,16,20)c(32,24,20)s(32,48,12)c(48,24,12)+s(16,16,12)+*-
t(24,48,12)t(40,24,20)+t(40,40,20)-c(32,32,28)s(32,48,12)-*
t(32,24,20)t(40,32,20)t(32,32,12)--s(16,40,12)t(16,16,12)++
s(16,40,20)t(24,48,28)s(24,48,20)t(24,48,28)*s(8,8,12)+*-
s(8,24,12)c(40,40,20)+s(40,32,28)s(24,16,20)-+t(32,32,20)*
s(32,40,20)s(48,24,20)+t(40,48,12)-t(32,32,28)-s(48,40,20)-
s(24,24,28)s(32,24,12)s(16,40,12)+c(16,32,12)+s(16,40,20)*-
t(24,48,28)s(40,40,28)s(16,48,20)-t(32,40,28)s(32,24,20)*--
t(32,56,12)c(32,32,20)+t(24,40,20)s(32,16,20)c(16,16,12)-+*
c(40,40,20)t(32,40,28)s(40,32,28)+t(24,32,28)s(32,32,28)***
c(32,32,28)c(40,40,20)t(32,40,20)-*s(24,48,12)+c(48,32,12)-
s(16,48,12)s(24,40,28)c(32,32,28)s(24,48,12)-s(24,32,28)**+
s(32,24,28)s(24,24,20)s(48,32,20)-s(24,40,28)*-s(24,32,20)-
s(40,40,28)s(40,24,28)*s(32,24,20)c(48,16,12)-+s(32,24,20)-
c(32,24,20)c(40,24,20)*t(32,40,28)s(8,48,12)t(40,16,12)++*
t(32,48,28)s(40,48,12)-s(32,32,12)c(16,48,12)t(24,40,12)++*
s(48,24,20)s(48,48,20)+s(24,32,20)s(48,40,20)-s(32,32,12)++
s(24,32,20)c(16,16,12)s(32,32,20)t(24,32,12)-+*t(24,48,12)+
c(32,24,20)s(40,24,20)s(32,48,20)s(32,40,20)s(24,32,28)*+--
t(24,40,20)t(32,56,12)c(24,32,20)s(32,16,20)++s(32,40,20)**
t(32,48,28)s(40,32,28)s(24,40,20)t(24,32,12)--s(32,48,12)+*
s(40,48,20)s(32,40,28)+c(40,40,20)s(40,48,12)-*s(24,40,12)-
c(24,48,12)c(48,16,12)c(48,40,12)+s(48,24,20)*+s(48,48,12)+
c(24,16,12)s(40,24,12)c(24,48,12)t(24,40,20)++c(24,24,12)-+
s(32,16,20)s(32,40,28)s(48,48,20)c(40,32,20)--c(24,24,12)-+
t(32,40,28)t(24,48,20)c(40,48,12)+t(40,48,20)*t(40,32,20)+*
s(40,40,28)c(40,32,20)t(40,32,20)-c(40,24,20)s(24,32,20)---
s(24,32,28)s(40,32,20)*s(40,32,28)s(24,32,28)s(40,40,28)*-+
s(32,48,12)s(40,8,12)c(40,32,20)c(24,16,12)t(32,24,20)+*++
c(40,32,20)c(48,48,12)-c(32,40,20)*s(40,24,28)*t(24,48,20)-
s(32,32,28)s(40,16,12)-s(32,40,20)s(32,48,20)s(8,48,12)+**
c(24,24,20)c(24,48,12)+t(32,48,20)s(24,40,20)c(32,48,12)+*-
c(40,40,20)c(40,24,20)c(40,48,12)+t(24,32,28)-c(40,24,12)+-
s(24,32,28)s(48,40,12)+s(24,40,20)c(40,40,20)s(32,32,20)*-*
t(40,24,20)t(16,32,12)+t(24,48,12)s(40,16,20)s(40,32,20)*+-
s(32,40,20)t(32,48,20)+t(24,32,28)+s(40,40,20)s(24,24,20)-*
s(40,32,20)s(24,32,12)+c(40,32,20)s(32,40,20)*s(40,40,20)*-
c(32,40,20)s(48,48,20)s(40,32,20)+*s(32,32,20)c(32,40,20)**
s(24,24,12)t(32,48,28)t(32,32,28)+s(40,48,20)s(48,32,12)+*+
s(8,40,12)s(32,24,28)+s(32,40,28)t(40,48,12)-*s(40,24,20)-
s(32,48,20)s(40,48,20)s(16,16,20)+s(40,40,20)-s(8,16,12)--
t(48,56,12)s(24,32,28)t(32,40,12)-+c(24,40,20)-t(40,24,12)-
s(16,40,12)s(24,32,28)s(40,16,20)-t(24,40,28)s(32,40,28)**+
t(24,32,28)s(16,24,20)+s(16,48,12)+c(40,40,12)+s(32,40,28)-
s(16,32,20)s(32,32,12)s(32,16,12)+s(48,48,12)+s(40,24,28)+-
s(32,32,28)c(32,40,20)-t(40,24,20)s(48,32,20)s(16,24,20)+*-
t(24,40,28)s(40,40,20)s(40,24,28)+t(32,40,20)*-t(32,32,20)-
s(32,40,28)c(16,32,12)-s(32,48,20)s(24,40,28)s(32,24,28)-*-
t(24,32,28)c(32,32,20)t(48,48,12)t(24,32,20)+c(24,40,20)**-
c(24,32,20)c(40,48,12)c(40,24,12)+-s(32,40,28)*t(24,40,20)*
c(40,32,20)c(32,24,20)-s(24,32,20)s(24,48,20)-c(32,40,12)-+
s(32,32,28)s(16,32,20)*c(24,40,20)s(32,24,28)*c(48,32,12)-+
s(24,24,28)s(40,32,28)s(40,16,12)-t(32,24,12)-+s(48,40,20)-
t(40,24,20)t(32,40,20)s(40,32,28)s(24,40,28)s(40,16,20)-**+
t(32,32,28)s(32,24,20)*s(16,16,20)s(8,8,12)c(40,32,12)++*
t(24,40,28)c(32,32,20)s(24,24,12)s(32,40,20)c(16,24,12)-+*-
s(24,32,20)c(16,24,12)+s(8,40,12)t(24,32,28)t(40,32,20)-+*
t(48,40,12)c(48,16,12)c(40,16,12)++s(40,8,12)c(48,16,12)+*
s(16,24,20)t(32,32,12)t(40,48,12)s(16,32,20)++s(32,16,20)-+
s(24,40,20)c(40,40,20)+s(40,40,28)*c(40,32,20)*s(24,24,28)*
s(16,32,20)c(24,24,20)c(40,24,12)-s(24,40,20)+s(8,40,12)-*
t(24,32,28)c(32,24,20)s(40,24,20)c(32,24,20)*s(32,16,12)---
s(40,40,20)t(24,48,28)s(16,16,12)t(16,32,12)+++c(24,32,20)*
s(32,40,28)t(24,48,20)-c(40,32,20)s(24,24,12)-*t(48,24,12)-
s(16,40,20)t(24,48,28)s(32,32,12)-t(32,32,28)+s(24,32,20)*+
s(40,24,20)t(24,40,20)-s(40,32,28)s(32,32,28)*t(40,32,20)--
t(24,48,20)s(40,24,28)s(40,16,12)-s(48,24,12)s(40,32,12)+--
s(32,48,20)s(24,40,28)s(24,24,28)-c(40,24,20)+*c(24,32,12)-
t(24,48,28)t(32,48,28)c(16,40,12)+c(16,40,12)-s(24,40,28)**
s(24,40,28)c(32,16,12)+s(40,32,12)c(32,40,20)t(32,48,28)*+-
c(40,24,20)t(32,48,12)+c(32,32,20)s(32,16,12)c(40,40,20)++*
s(48,32,12)t(32,32,28)s(32,32,20)t(24,48,20)-c(40,40,20)*-+
s(16,40,20)s(24,24,28)c(24,32,20)s(32,24,20)-t(48,24,12)+*+
s(24,24,28)s(16,40,12)-t(24,16,12)-s(24,32,28)s(16,48,20)+*
s(32,40,20)c(24,32,20)s(16,24,12)-s(24,24,28)*c(40,40,12)+*
s(16,48,12)s(16,24,20)t(16,32,12)-+s(40,16,20)c(16,16,12)++
t(24,24,12)s(40,32,20)+s(24,32,20)s(40,32,20)-s(48,16,20)+*
s(40,32,20)s(24,24,12)-c(16,16,12)+s(32,32,20)+c(24,40,12)-
c(40,24,20)s(16,48,12)+t(24,48,28)s(16,24,20)s(32,24,20)+--
t(32,40,28)s(32,16,20)-t(48,32,12)s(32,32,20)t(48,16,12)++-
s(24,24,20)s(32,24,20)c(32,32,28)s(24,40,12)-c(24,40,20)-*-
t(32,48,28)t(32,24,20)s(24,32,20)s(48,32,20)+*+t(40,40,20)*
t(24,40,28)t(32,32,28)s(32,24,20)*t(32,16,12)-+s(24,16,20)-
c(16,48,12)s(32,16,12)+s(24,40,20)s(16,16,20)s(24,16,20)*--
s(24,40,28)c(32,32,28)c(24,16,12)-s(40,48,20)*+c(32,32,28)*
c(32,32,28)s(24,40,28)c(32,32,28)*t(24,32,12)--c(24,24,20)*
c(48,32,12)s(32,16,20)+s(40,24,28)s(48,32,12)-c(40,24,20)**
c(24,32,12)s(24,24,12)+s(8,40,12)+c(24,40,20)*t(24,32,20)*
s(16,24,20)t(24,48,20)t(24,40,28)*c(32,32,20)++t(32,40,28)*
t(32,48,28)c(32,16,12)+c(24,40,20)*s(40,32,20)t(32,24,12)--
t(24,32,28)s(24,32,20)s(24,32,28)c(40,40,20)-*t(48,48,12)+-
s(32,40,20)s(16,48,20)s(32,32,28)c(40,24,20)+t(32,40,12)---
t(32,48,20)t(32,32,28)+t(24,40,28)+s(32,48,20)c(16,40,12)--
c(24,32,12)s(16,8,12)+s(32,24,28)c(32,40,20)*s(8,24,12)+*
t(24,24,20)s(48,48,12)+t(32,40,20)+c(32,32,28)s(32,16,20)*+
s(48,48,20)s(24,24,28)s(40,32,28)t(16,48,12)s(32,40,20)+*-+
c(32,24,20)t(40,32,20)s(40,40,12)s(40,24,12)+t(40,48,20)+*-
s(40,16,12)c(48,24,12)+t(32,48,12)t(40,24,12)++s(24,16,20)-
s(24,40,20)s(16,40,12)t(32,32,12)s(16,24,12)t(32,40,12)+++*
c(24,40,20)s(32,16,20)+s(40,40,12)c(16,48,12)+-s(32,40,28)*
t(32,40,12)s(32,24,12)c(24,40,20)+s(32,48,20)-s(48,24,20)++
s(24,40,28)c(16,32,12)-s(32,32,28)s(40,40,28)*s(24,32,20)*-
c(32,24,20)t(24,40,12)s(32,16,20)s(32,24,20)*+-c(48,48,12)+
s(16,16,12)s(32,40,28)t(16,16,12)s(40,48,12)+-s(16,40,20)*+
t(48,48,12)t(24,24,20)t(40,40,12)t(24,48,12)+c(24,40,12)+-+
s(40,16,20)s(16,32,20)s(24,24,12)-+s(8,24,12)-s(40,24,20)-
t(24,56,12)c(40,24,20)s(24,16,12)-+t(48,16,12)-s(48,32,20)*
c(40,32,20)c(32,24,12)-t(24,24,20)+s(32,40,20)c(40,40,20)*-
c(16,40,12)s(32,40,28)s(40,40,28)*s(48,40,12)-c(40,32,12)-+
c(40,40,20)t(32,40,28)c(24,40,20)c(16,40,12)-s(24,24,28)*-+
c(32,32,20)t(40,32,20)s(24,24,20)+*t(40,32,20)-s(16,16,12)+
t(32,32,28)t(24,48,20)+t(24,32,28)s(32,16,20)c(24,40,12)+**
s(48,24,20)s(48,40,20)t(40,40,20)-s(48,24,12)+*t(32,48,28)+
s(32,24,20)t(32,32,28)s(24,40,20)+*t(32,40,28)*t(24,48,20)+
s(32,32,28)s(32,48,20)+s(32,40,28)s(16,24,20)s(16,32,20)*--
c(32,24,20)s(32,40,28)c(16,40,12)-c(24,48,12)-*s(48,48,20)-
t(24,48,20)c(48,32,12)c(32,48,12)++s(24,32,28)s(16,48,20)+*
c(24,24,20)s(32,40,28)s(48,24,20)-s(40,48,20)t(40,48,12)--+
s(40,40,28)s(24,40,28)t(24,32,28)t(32,32,12)-c(40,32,20)--*
s(16,24,20)c(40,32,20)s(40,48,20)-s(40,24,20)s(32,16,20)---
c(40,24,20)s(48,40,20)*s(40,32,12)+t(48,56,12)+s(48,32,20)*
s(32,40,20)t(24,40,20)*s(32,24,28)t(32,40,20)-+s(48,24,20)*
s(16,32,12)s(32,24,20)c(24,32,20)s(8,24,12)-c(40,40,20)*++
s(24,48,20)s(32,40,28)s(32,48,20)t(32,48,28)s(40,40,20)*---
s(8,24,12)t(32,56,12)s(40,32,20)+c(40,40,12)-+t(24,32,12)+
t(40,24,20)c(40,40,20)s(48,16,20)-+s(40,24,28)*s(24,40,20)+
t(32,48,12)s(8,16,12)+c(32,24,20)+s(16,48,20)-c(32,48,12)+
s(16,24,20)s(24,40,12)t(16,48,12)+-t(32,48,20)+s(32,40,28)*
c(24,24,20)s(32,8,12)c(40,24,12)+c(24,40,20)s(16,48,12)-++
s(40,48,20)t(24,32,12)s(24,48,20)c(32,32,28)*+s(24,32,28)*-
c(32,32,20)s(40,32,28)s(32,32,28)**s(24,40,20)-c(24,24,12)-
s(16,32,20)t(48,16,12)s(32,32,20)+t(24,40,20)c(32,16,12)+*-
c(16,16,12)s(24,48,20)+s(48,24,20)+s(16,24,20)c(40,48,12)+*
s(32,24,28)s(40,24,20)s(32,40,28)*-c(40,40,12)-s(48,24,20)-
s(24,32,28)t(24,40,20)-t(40,40,20)-s(8,8,12)t(32,40,28)++
s(16,24,20)c(24,32,20)s(24,24,20)t(24,32,12)---c(16,40,12)+
t(24,40,28)t(16,16,12)s(48,32,20)+c(32,32,28)s(16,16,12)-*-
t(32,32,28)c(16,16,12)t(40,48,12)s(32,40,12)++-s(40,8,12)+
c(16,24,12)t(32,16,12)+t(32,40,28)c(32,32,20)*+c(40,32,20)*
s(40,32,20)c(32,32,28)t(24,40,28)c(24,24,20)--c(32,32,20)**
t(32,40,20)t(48,40,12)+s(8,48,12)+t(48,56,12)c(24,40,20)+*
c(32,40,20)s(24,48,20)s(40,48,12)-c(32,48,12)--s(32,24,12)-
t(40,16,12)s(40,48,12)c(48,32,12)++s(40,24,28)+t(32,40,28)*
s(32,24,20)s(32,24,28)c(32,16,12)-c(40,16,12)-s(48,32,12)+*
t(24,40,28)s(16,32,12)-c(24,40,20)+s(16,32,20)t(16,32,12)-*
t(32,32,28)c(32,32,12)s(48,32,12)t(24,40,12)t(32,32,12)+++*
s(24,32,28)t(32,32,28)t(32,48,28)*-s(32,40,28)+s(24,24,20)-
s(40,40,28)s(24,32,20)c(40,24,20)s(24,40,20)+*t(24,48,28)+-
s(24,32,20)t(32,48,12)c(32,40,20)t(24,40,20)-s(24,16,20)-+-
t(24,48,28)s(24,8,12)+s(40,32,28)+t(24,48,28)s(40,32,28)--
s(24,24,12)c(24,32,12)s(32,24,20)+t(24,48,20)+s(48,24,20)*+
s(48,24,20)s(40,32,20)-c(32,40,20)s(16,40,20)*s(24,24,12)++
c(24,40,12)s(32,16,20)c(24,24,12)-t(40,40,20)+c(32,32,20)-+
s(40,40,28)c(24,32,12)-s(40,32,28)*s(40,24,20)+s(40,40,12)-
s(48,16,20)c(32,24,20)s(8,32,12)s(32,32,12)+c(40,32,12)--*
c(24,40,20)t(16,32,12)-s(24,40,20)s(16,24,20)+c(32,32,28)**
t(32,16,12)s(40,48,20)s(48,48,20)*+t(32,40,20)s(48,16,20)+-
s(16,40,20)s(16,32,20)s(24,24,28)*s(32,16,12)+*t(32,40,12)-
t(32,40,28)s(24,32,20)c(40,32,20)s(48,48,20)+*s(24,32,12)+*
c(24,48,12)c(16,40,12)+t(40,40,12)s(32,40,28)t(40,40,12)-+*
s(16,32,20)s(40,40,20)s(24,48,20)t(32,48,28)*c(40,24,20)+*-
s(32,32,20)t(32,48,28)c(24,32,12)-s(40,40,28)+*s(40,16,20)-
s(16,40,12)s(48,32,20)s(24,40,28)s(24,48,20)-s(16,48,20)--+
s(40,16,20)s(40,24,20)t(32,40,20)c(16,32,12)--s(32,24,20)+*
c(48,40,12)s(16,32,20)+t(24,48,28)+t(24,40,20)-c(24,24,20)-
t(16,16,12)c(40,32,12)+s(24,8,12)t(40,32,20)+s(48,24,20)++
s(24,32,28)s(24,40,28)s(32,24,20)*s(8,8,12)+*t(16,24,12)-
s(48,24,20)t(32,40,20)c(16,16,12)+s(40,32,28)*+s(40,48,20)*
s(16,24,20)c(32,16,12)c(24,40,20)++s(48,40,20)t(24,56,12)+-
s(24,32,28)t(40,24,20)t(48,16,12)--c(24,32,12)-s(40,40,20)-
s(48,40,20)t(32,24,12)c(48,32,12)+c(32,40,12)+s(24,40,20)-+
t(24,48,28)s(32,24,20)s(48,32,12)-+s(16,32,20)-s(32,24,12)-
s(32,24,28)s(24,32,28)*t(24,56,12)s(16,24,20)+t(40,32,20)+*
c(40,32,20)s(32,24,20)s(24,24,12)s(40,24,20)+*t(32,48,12)+*
t(40,48,20)t(32,32,28)+c(48,40,12)t(24,40,28)+*s(32,48,20)*
s(32,40,28)c(24,32,20)*s(40,32,28)+t(40,32,12)s(24,48,12)+*
s(32,32,28)t(32,40,28)*c(32,40,12)t(40,32,20)t(32,48,12)++*
c(40,32,12)s(40,24,20)s(48,24,12)s(16,40,12)+s(40,40,20)--+
t(40,48,20)c(32,32,20)+c(16,48,12)+s(40,40,20)s(40,48,12)--
c(32,24,20)t(16,56,12)+t(32,40,12)-s(32,24,28)*s(32,24,12)-
s(32,32,20)s(40,32,28)t(16,16,12)t(40,48,20)++t(32,48,20)*-
s(48,16,20)c(40,24,20)s(32,32,28)s(32,16,20)**+s(32,32,28)+
c(48,40,12)s(40,24,20)s(24,40,28)s(48,40,20)s(40,32,28)*--+
c(48,48,12)c(40,48,12)+s(32,40,20)+t(24,56,12)+c(24,16,12)+
t(32,32,28)s(32,24,28)t(40,40,20)+s(32,40,28)*s(24,32,20)*-
s(32,24,28)s(24,16,20)+s(24,32,28)s(32,16,12)-s(16,48,12)--
c(24,40,20)t(24,32,28)s(24,16,20)-s(32,32,28)*c(48,16,12)+*
s(24,40,28)s(32,16,20)s(32,32,28)*-s(32,40,20)*s(16,48,12)-
c(32,24,20)t(40,24,20)c(24,16,12)--s(32,32,20)+s(8,40,12)+
s(40,32,20)c(32,32,20)s(16,8,12)+s(16,8,12)-t(32,48,20)-*
s(48,24,12)c(24,32,12)t(24,24,20)s(32,16,12)-+c(32,24,20)*+
s(24,40,20)s(32,40,12)c(16,48,12)+*s(40,8,12)+c(32,16,12)+
s(40,40,28)t(32,32,20)*t(24,24,20)t(32,24,12)--s(16,48,12)+
c(24,40,20)s(48,40,20)c(16,48,12)+*s(24,24,28)c(40,40,20)-+
c(40,40,20)t(32,40,20)t(24,48,20)+*s(24,40,12)-s(16,8,12)+
t(32,40,28)t(24,40,28)c(48,32,12)++t(40,40,12)-s(48,32,20)+
c(32,24,12)c(16,24,12)s(40,40,20)+s(48,32,20)s(32,48,20)+*+
s(32,48,20)s(40,40,20)s(24,40,28)s(16,32,20)c(32,24,20)*-*-
t(32,16,12)c(48,32,12)+s(40,32,28)c(32,40,20)*s(24,24,20)--
t(24,56,12)s(8,48,12)s(40,40,28)c(32,24,20)*++s(48,48,20)-
c(32,32,20)t(24,40,12)-s(8,40,12)s(40,32,20)+*s(48,24,12)-
s(40,32,12)t(48,56,12)s(24,48,12)+c(24,48,12)++t(32,32,20)+
s(24,48,12)t(32,48,20)+s(32,32,12)s(24,32,28)c(40,24,12)-+*
t(32,24,12)t(24,40,28)+c(40,40,20)*t(24,40,28)c(40,32,20)**
s(32,32,28)c(32,40,20)*t(40,40,20)s(32,32,28)s(24,40,12)-*-
s(48,24,20)c(32,32,20)+s(8,32,12)+s(16,16,20)s(48,32,20)+*
s(16,40,12)s(40,8,12)t(24,24,20)+c(32,32,20)c(32,40,12)--+
s(32,32,28)c(32,16,12)-s(40,32,28)s(48,24,12)t(16,40,12)+-*
s(32,24,28)s(24,40,12)-s(16,40,20)s(32,40,12)+c(40,24,20)+*
t(24,24,20)s(48,32,20)s(40,24,28)*+t(16,40,12)c(40,40,20)+*
s(24,32,28)t(24,40,20)s(24,16,20)s(40,32,20)-+*s(32,24,28)*
s(32,24,28)t(24,40,28)s(8,48,12)-c(40,40,12)+-s(32,32,28)*
c(24,40,20)s(32,32,12)-s(32,40,20)+c(32,32,20)s(32,16,12)-*
c(48,16,12)c(32,32,20)s(24,32,20)-+t(32,40,28)-s(48,32,20)+
t(16,56,12)s(40,32,20)t(32,40,12)-+s(32,40,20)s(40,32,28)*-
c(24,40,20)s(40,48,20)-s(32,40,28)*s(16,16,12)+s(40,24,28)-
s(32,16,20)s(40,48,20)+t(40,48,20)-t(40,32,20)-s(32,24,20)*
s(32,8,12)t(40,24,20)s(48,40,12)-+s(16,40,12)s(32,24,20)+*
s(40,40,28)c(16,16,12)+s(24,32,20)c(32,40,20)c(32,32,20)***
s(8,48,12)c(24,24,12)c(32,40,12)+t(40,40,12)-+c(24,24,12)-
s(8,8,12)t(48,56,12)+s(16,24,20)t(24,32,20)-t(24,48,28)++
c(32,32,28)s(16,48,20)-s(24,40,28)c(40,24,20)--s(32,40,28)*
s(40,40,28)s(48,40,20)s(16,32,12)+*s(32,32,28)*s(48,32,20)*
s(24,16,12)s(40,40,20)+s(48,48,20)*s(48,32,20)s(24,32,28)-+
s(40,32,20)s(16,32,20)s(32,32,28)s(48,40,12)-*+s(48,24,20)-
c(40,24,12)s(24,48,20)t(24,48,12)s(48,16,12)+-s(48,40,20)++
s(24,48,12)s(40,24,20)s(32,32,28)c(32,24,20)**+c(24,24,20)-
t(24,24,20)s(32,24,20)c(48,16,12)-c(24,40,20)*+t(40,48,12)+
t(32,32,20)s(32,24,20)s(8,40,12)+*s(40,16,20)+s(48,32,20)-
s(40,24,20)s(48,32,20)-t(24,24,20)s(16,24,20)*c(40,40,12)++
s(16,40,20)s(16,32,20)t(32,32,28)-+s(8,24,12)-t(24,32,28)+
c(16,32,12)t(24,40,20)+s(40,40,28)s(32,32,20)s(16,48,20)-*-
s(32,24,20)s(48,16,20)-s(16,40,20)s(24,48,12)-s(32,32,12)--
c(32,40,20)t(24,32,28)*s(32,16,20)-s(32,40,20)t(40,48,20)-+
s(48,32,20)s(32,24,20)s(48,40,12)+s(40,16,20)-c(16,32,12)--
t(40,16,12)s(24,24,20)s(16,32,20)*+s(48,40,20)s(32,32,28)+*
c(24,48,12)c(48,48,12)s(24,16,12)++s(24,24,28)+s(40,48,20)*
s(8,8,12)t(24,48,28)+c(32,32,12)t(16,56,12)+-t(40,40,12)+
t(24,40,28)s(40,40,20)s(48,16,20)+s(32,40,20)t(16,48,12)++*
s(32,24,20)c(40,32,20)c(32,32,20)*s(24,32,20)s(24,16,12)-*-
t(32,48,28)c(24,16,12)c(24,40,12)+-s(32,24,20)t(32,32,28)*-
c(40,24,12)s(40,48,20)+s(16,32,20)+c(40,40,20)s(48,40,12)-*
s(32,24,28)s(16,32,20)t(40,56,12)s(32,24,20)+-s(40,8,12)+*
t(24,32,20)s(24,32,28)s(40,40,12)-t(32,24,20)s(48,48,20)+-+
s(16,48,20)s(48,24,20)s(24,32,20)-c(32,32,28)*t(24,48,28)+*
s(48,32,12)s(32,16,12)+s(24,16,20)s(48,16,20)+c(24,48,12)+*
s(48,16,20)s(40,40,20)t(24,40,28)c(32,24,20)*c(32,48,12)+--
s(24,40,28)t(24,48,28)*c(32,24,20)s(24,24,20)*-s(8,40,12)+
c(24,32,20)s(32,40,20)c(40,40,12)--s(32,32,28)t(24,24,20)*+
c(32,48,12)c(32,32,20)s(24,32,28)s(24,48,12)c(16,24,12)+--+
s(40,40,20)c(24,24,20)-t(32,40,20)c(24,32,20)*-s(24,40,12)+
t(32,32,20)c(24,40,20)s(16,24,12)s(40,40,12)+-+s(40,16,20)-
s(32,16,20)s(24,48,12)c(40,48,12)+s(32,32,20)+*s(48,24,20)+
s(24,32,28)t(24,48,28)*c(32,24,20)c(32,32,20)+t(40,24,20)-+
t(32,32,20)c(24,24,20)*s(24,32,28)c(24,40,12)-s(40,40,28)*+
t(32,48,12)s(48,16,20)s(32,24,28)s(8,48,12)+*+s(24,48,12)-
s(24,32,28)c(40,24,20)c(24,16,12)-s(24,16,20)+*t(32,40,28)*
c(32,32,20)s(40,24,20)s(24,32,28)c(16,24,12)--s(48,24,12)+-
t(40,16,12)s(48,40,20)+s(24,24,28)-s(32,48,12)+s(40,32,12)+
c(40,24,20)s(40,24,28)s(40,24,20)c(24,32,20)-t(16,16,12)+-*
s(32,40,20)t(32,56,12)s(32,32,20)+s(24,24,28)*t(48,40,12)+*
s(48,8,12)c(16,40,12)+c(16,24,12)+t(48,16,12)s(8,40,12)+-
s(32,24,20)c(48,32,12)-s(32,48,20)-s(40,40,12)+c(48,24,12)-
c(32,32,28)s(24,24,28)s(32,40,20)*-s(32,48,20)-s(24,8,12)-
c(24,32,12)t(16,32,12)t(16,40,12)+t(40,40,20)+s(40,24,28)-+
t(32,48,28)s(40,40,12)s(24,16,12)+s(48,8,12)c(24,24,20)++-
s(40,32,28)s(32,32,20)t(32,40,12)-c(16,16,12)--t(24,48,20)-
s(40,48,20)s(48,32,12)-s(24,16,12)s(32,40,20)c(40,32,20)++*
c(32,24,20)s(24,24,12)-s(48,16,20)*s(16,40,20)+t(24,40,28)*
t(24,56,12)c(40,32,12)+t(24,48,12)+c(32,32,20)t(32,24,12)-+
s(32,40,28)s(32,32,20)s(40,24,28)+s(40,24,12)-*c(24,32,20)*
s(32,32,28)s(40,32,28)*s(32,24,28)*s(48,24,12)s(32,32,12)+-
t(24,48,28)c(32,24,12)+s(48,24,20)-t(24,32,20)-t(48,32,12)+
t(24,48,28)c(32,40,12)-s(32,40,28)*s(48,40,12)+t(48,40,12)-
c(48,40,12)s(16,24,12)t(24,40,12)+t(32,32,28)t(32,40,12)-++
t(40,32,20)s(48,48,20)s(32,24,28)s(48,40,20)-+*t(40,32,12)+
s(24,32,20)s(32,40,28)s(24,24,20)-+s(48,48,20)s(48,32,12)+-
t(32,48,12)s(48,40,20)s(32,40,20)c(24,32,20)s(24,24,28)**-+
s(32,48,20)s(24,32,20)+s(16,24,20)t(24,40,12)+*c(40,40,20)-
s(24,24,12)c(40,48,12)s(40,16,20)c(24,24,20)*++t(32,48,12)-
s(48,16,20)s(24,40,28)s(32,32,28)c(24,24,20)t(32,56,12)+*-+
s(16,16,20)s(8,16,12)-s(48,40,20)s(48,16,20)-+s(8,48,12)+
s(48,40,20)t(32,40,28)*s(40,16,12)+t(32,40,28)*s(32,24,28)+
s(32,24,28)s(24,24,28)*c(40,32,20)*s(40,40,12)+s(48,40,20)+
s(32,48,12)s(40,40,28)t(24,48,28)-t(24,32,12)t(24,24,20)+-+
s(24,24,28)c(40,24,20)c(24,24,20)+t(24,16,12)-*t(32,40,20)-
s(40,32,20)s(32,8,12)+s(32,48,20)s(24,48,20)*-s(32,24,20)*
s(48,40,20)t(16,24,12)+t(24,16,12)+t(40,32,20)t(40,40,20)+-
t(24,32,20)s(40,32,20)s(8,8,12)++t(40,40,20)t(32,16,12)+*
s(40,48,20)t(32,32,20)t(40,32,12)-s(16,16,20)+c(24,40,20)*-
s(24,32,28)t(32,32,20)-c(40,24,20)+s(16,40,20)t(24,40,28)**
t(32,48,12)s(16,40,20)s(16,16,12)+s(40,40,28)-t(16,48,12)-+
s(40,16,20)s(24,32,20)s(40,32,28)s(16,32,12)+*s(24,40,20)++
s(24,24,12)s(40,24,20)t(32,32,28)*s(40,24,20)c(40,32,20)**+
s(40,40,28)t(32,32,28)-s(24,16,12)+s(40,32,28)s(40,48,20)*-
t(16,48,12)s(40,24,28)s(32,32,12)-s(48,32,20)*+c(40,40,20)*
s(48,40,20)s(40,24,28)c(24,48,12)+t(24,24,20)-t(24,48,28)+*
s(8,16,12)s(32,40,28)s(16,24,12)-+s(16,40,20)-c(40,32,20)-
s(32,40,28)t(40,48,20)-t(32,40,28)*t(40,32,20)+t(24,24,20)+
s(40,32,20)s(32,24,20)c(32,32,20)c(16,32,12)-**c(40,24,12)+
c(32,40,20)s(32,16,20)+t(48,24,12)s(40,24,28)s(32,32,20)*+*
s(40,48,12)c(32,24,20)s(48,40,20)-+c(40,32,12)-s(16,40,20)-
s(32,16,20)s(48,40,20)+c(32,24,20)s(40,40,28)**c(16,32,12)-
s(16,16,20)t(24,32,20)-s(16,24,20)s(32,24,28)s(24,16,20)--*
t(24,56,12)s(40,24,28)+t(40,32,12)-c(40,24,20)c(16,32,12)+*
s(16,24,20)c(40,24,20)s(48,32,20)c(48,16,12)-*s(32,24,20)+*
c(24,40,20)c(32,32,28)s(40,40,28)-s(40,40,12)++s(40,48,20)-
s(40,24,28)s(32,40,20)*s(24,24,20)+s(24,48,20)-s(8,32,12)+
s(24,40,20)t(48,16,12)t(32,40,12)++t(48,24,12)+c(40,24,20)*
t(24,48,28)t(16,40,12)s(32,48,12)+t(40,48,12)+*s(40,48,12)+
s(40,40,20)t(24,48,12)+t(32,48,28)s(40,48,12)-*s(32,24,20)+
t(32,40,20)s(24,16,12)s(48,40,20)t(16,16,12)+t(40,32,20)-+-
s(48,40,20)s(32,32,20)s(48,32,20)+s(24,40,28)*s(24,48,12)--
c(32,32,28)s(32,48,20)c(48,48,12)c(24,32,20)++-t(24,40,28)+
s(24,16,20)t(24,32,28)s(40,8,12)+s(24,24,28)c(32,24,20)--*
c(24,24,12)s(40,16,20)+s(32,24,28)t(48,16,12)t(40,48,20)+-*
c(32,48,12)s(16,32,20)s(24,40,28)*c(16,24,12)c(16,48,12)+*+
s(48,24,20)t(32,40,28)s(24,32,28)+s(40,32,20)*-t(32,40,28)+
c(24,40,20)t(32,48,28)s(32,8,12)s(16,32,12)++s(32,40,12)-*
s(40,24,28)t(24,32,28)*s(32,24,28)c(32,40,20)t(24,32,20)+**
s(32,16,20)s(40,24,28)t(40,40,20)-t(24,48,28)c(40,40,12)--*
s(40,8,12)s(40,16,12)+s(24,32,28)s(48,32,20)+s(32,32,28)-+
s(48,32,20)t(32,32,12)+t(40,40,12)s(16,48,12)+t(48,40,12)+-
s(40,40,20)s(16,40,12)c(48,48,12)+c(24,40,12)s(32,24,12)+--
s(32,32,28)s(32,32,20)c(40,32,20)*-c(48,24,12)s(24,16,20)+*
s(32,32,20)c(24,32,20)s(16,32,20)*s(32,16,20)-+s(48,32,20)-
t(32,32,28)s(24,32,28)s(32,48,20)c(16,40,12)--t(32,40,28)--
s(40,24,28)t(24,32,20)t(32,48,28)+t(32,32,20)-t(24,48,28)*+
s(24,40,28)s(40,16,20)c(32,32,20)+s(32,24,28)+*c(32,24,20)+
s(32,32,28)s(40,24,12)-s(40,24,20)t(24,48,28)s(32,40,20)*--
t(32,48,28)t(32,32,20)-t(32,48,28)s(24,48,20)t(32,40,12)---
c(32,40,20)t(24,48,20)t(40,48,12)+t(24,32,12)-t(24,48,20)+*
c(24,32,20)t(32,48,20)s(24,16,20)+s(32,24,20)*t(24,48,20)+*
c(24,32,20)t(16,16,12)-c(24,40,20)s(16,24,20)s(16,32,20)+*-
c(32,32,28)s(8,24,12)t(24,40,20)+*c(24,24,20)s(16,16,20)++
c(32,40,20)t(24,32,28)t(48,56,12)+s(40,32,28)**t(32,24,12)-
s(32,40,20)c(40,32,20)s(48,32,12)-t(40,24,20)-s(40,16,20)--
s(40,48,20)c(40,24,20)s(40,32,20)*+s(40,8,12)+c(24,40,20)+
c(32,32,20)s(24,32,20)t(32,16,12)-s(40,32,20)c(40,32,12)--*
c(40,32,12)s(32,16,20)+c(24,48,12)+s(32,40,28)c(16,32,12)--
s(24,16,12)s(48,40,20)s(24,40,28)++s(40,16,20)-c(32,40,20)-
c(24,40,20)t(24,24,20)c(32,32,20)c(48,32,12)-+-s(24,16,12)+
s(24,48,20)s(24,40,20)+s(8,48,12)+c(24,32,20)*s(24,40,12)-
t(32,32,20)s(32,16,12)+s(24,40,20)s(40,40,20)-+c(24,24,20)*
s(48,24,20)t(32,40,20)c(48,32,12)+c(32,24,12)+*t(24,32,28)+
t(32,48,28)t(24,16,12)t(40,48,20)+c(32,48,12)-t(40,32,12)--
c(48,40,12)c(24,32,20)+c(32,40,20)*t(40,24,20)t(48,24,12)-+
s(8,48,12)c(24,48,12)+s(32,40,28)c(24,40,20)c(24,16,12)+**
t(32,40,28)s(24,48,12)-s(40,48,20)*c(40,48,12)+c(16,24,12)+
t(32,40,28)s(48,32,20)s(32,32,28)*s(32,32,20)s(16,24,12)-*+
s(16,40,20)s(40,48,20)s(48,32,12)t(16,56,12)+-c(24,24,20)+*
t(24,32,28)s(32,24,20)t(48,32,12)s(24,24,12)+-+t(24,32,12)-
t(24,48,20)s(40,24,12)+t(24,40,28)+s(40,32,20)t(24,32,12)-*
t(32,24,12)s(32,40,28)t(48,56,12)s(48,48,12)++t(24,48,28)*+
c(16,16,12)c(48,24,12)c(24,40,12)s(32,32,20)s(24,24,28)*+++
s(40,16,20)s(40,40,28)s(24,40,20)s(32,24,12)-s(16,24,12)---
s(32,40,20)s(24,40,28)t(48,32,12)+c(16,48,12)-t(24,32,20)*-
c(24,32,20)t(24,48,20)t(24,32,12)t(40,56,12)t(32,32,12)++-+
s(48,32,20)s(40,48,12)-s(40,24,28)t(24,16,12)-s(24,40,28)*-
s(24,40,20)c(48,32,12)+s(24,32,28)*s(32,48,12)c(32,24,12)+*
s(32,32,28)c(40,24,20)+s(32,24,28)s(40,40,28)s(24,24,28)*-*
t(32,24,12)s(48,16,12)+t(32,16,12)c(48,40,12)t(16,56,12)++-
s(48,48,20)c(32,32,20)s(32,40,20)-t(32,48,20)s(40,24,20)-+-
t(32,32,28)t(24,48,20)s(24,16,20)s(16,24,12)-+-c(32,32,20)*
c(24,24,20)s(40,24,28)s(40,32,20)t(24,24,12)+**c(40,32,12)+
s(40,40,28)s(24,16,12)c(24,40,20)+t(32,32,20)*c(48,40,12)--
s(32,32,28)s(24,40,20)s(24,32,20)+t(32,40,28)s(24,40,20)+**
t(24,24,20)t(24,48,12)+t(32,40,12)+s(32,48,12)t(24,24,20)+*
s(40,40,28)c(32,32,28)s(40,24,28)*s(24,24,28)t(24,32,28)**-
s(8,32,12)c(24,32,20)t(16,40,12)t(40,32,12)+-+t(32,56,12)+
t(40,48,20)c(24,40,12)t(32,40,20)+s(32,32,20)s(24,24,28)**-
s(32,40,28)s(40,24,28)s(40,40,20)s(24,40,12)--t(24,32,28)-+
s(8,48,12)s(8,8,12)t(32,32,20)c(16,32,12)-+t(40,48,20)++
t(24,48,28)c(16,40,12)+s(32,32,20)c(32,32,20)c(24,24,20)*+*
s(48,32,20)t(40,32,20)s(16,32,20)t(16,32,12)c(40,32,12)++*-
t(24,40,28)c(40,32,12)t(32,48,28)++c(24,40,20)s(24,24,28)--
t(40,48,20)s(8,24,12)+c(32,32,28)s(48,48,20)-c(40,32,20)*+
s(48,32,20)s(24,24,20)s(48,32,20)t(48,16,12)++s(32,24,28)-+
s(16,48,12)t(32,48,12)c(40,24,12)+s(32,40,20)s(40,32,12)--+
c(24,32,20)c(24,24,20)*c(32,40,20)t(32,32,28)s(16,24,20)---
s(40,32,12)c(24,24,20)t(24,24,12)-s(16,16,12)-s(40,32,28)*+
c(32,24,20)s(48,32,12)s(40,24,28)c(40,48,12)s(40,24,12)+*+*
s(24,32,20)t(32,16,12)-c(48,16,12)s(32,40,20)+s(16,40,12)+*
c(32,40,20)c(40,24,20)t(32,48,28)+s(40,16,20)s(40,24,20)+*+
s(48,24,20)c(24,40,20)c(32,32,28)t(24,40,28)-c(40,32,20)--+
t(32,40,20)t(32,40,28)s(16,24,12)+s(32,48,20)*s(40,32,28)**
s(24,40,20)c(32,24,20)c(16,16,12)-t(24,40,20)-s(24,40,28)-+
t(24,24,20)s(32,24,12)+t(48,24,12)+t(24,32,20)s(32,40,20)+*
c(32,32,28)s(8,48,12)t(32,48,28)+*c(32,32,12)-c(40,40,20)+
c(32,24,20)s(24,48,20)s(32,40,28)*s(32,48,20)++s(40,32,28)*
c(40,32,12)s(24,32,28)c(40,48,12)-s(8,48,12)s(24,32,12)+*+
s(24,40,20)t(24,32,28)t(32,40,28)s(24,24,12)-*s(40,48,12)+*
s(16,48,20)s(32,48,20)s(32,40,20)t(40,48,12)-c(24,24,12)+--
s(32,16,20)s(48,32,20)-s(24,24,28)*s(40,40,28)t(24,48,28)--
s(40,40,20)s(16,32,20)s(32,32,28)*+t(32,48,20)c(24,40,20)*-
s(32,24,20)c(48,24,12)-c(40,40,20)s(32,40,28)++s(24,16,12)-
t(24,40,28)s(48,32,12)+s(48,24,12)t(40,56,12)+-s(24,40,20)*
s(32,24,28)s(32,40,28)*t(32,48,28)-c(32,32,20)s(16,40,20)*-
c(24,16,12)s(40,16,12)+c(32,40,20)c(40,16,12)+t(40,40,20)-+
s(48,16,20)s(40,32,20)s(32,24,20)--s(32,16,12)-t(32,24,20)-
t(40,24,20)s(48,24,20)s(16,8,12)+t(24,32,28)+t(48,32,12)-*
t(32,40,12)s(48,32,20)+c(32,32,20)s(48,24,12)+*c(32,24,12)+
s(24,40,28)s(16,32,20)-c(40,40,20)c(48,24,12)-*t(32,32,28)+
c(40,24,20)t(24,32,20)s(40,24,20)+s(40,40,28)*s(24,32,20)*-
c(32,24,20)t(24,48,20)+c(24,40,20)*c(40,40,20)*c(16,32,12)+
s(32,40,28)s(16,40,20)-c(32,40,20)t(40,48,12)-s(16,48,12)+*
c(32,24,12)s(48,32,20)+c(48,16,12)+c(40,40,12)t(24,16,12)+-
s(24,40,28)c(24,32,12)c(48,32,12)+s(24,32,20)s(24,48,12)-+-
s(48,8,12)t(32,48,28)s(8,32,12)++c(40,16,12)c(40,48,12)+*
s(40,40,20)t(48,24,12)+c(24,40,20)c(24,24,20)+t(24,48,28)--
t(32,32,12)s(8,40,12)+s(24,32,20)t(32,40,28)t(24,40,28)*-+
c(32,40,12)s(32,24,28)c(40,24,20)+s(40,32,20)*+t(40,16,12)-
t(24,32,20)s(40,40,20)c(32,40,20)*+c(40,24,12)-s(48,48,12)-
s(32,40,28)c(24,32,20)*c(24,16,12)s(40,24,20)c(40,40,20)*+-
t(32,48,28)s(40,40,28)*s(16,48,20)t(48,16,12)+s(24,40,20)*-
s(40,32,20)s(24,40,28)*c(16,48,12)+s(32,40,12)-s(16,40,12)+
s(40,32,28)t(24,40,20)c(40,40,20)+s(40,24,28)*s(48,8,12)+-
s(24,24,28)c(32,24,20)s(24,32,20)--c(16,40,12)c(24,24,20)++
s(24,40,20)t(40,32,20)c(24,32,20)+*s(8,32,12)+c(40,40,20)*
c(32,32,20)t(24,40,28)t(24,32,28)t(40,32,12)---s(32,24,20)*
c(32,24,20)s(40,24,20)s(40,16,12)-*t(24,16,12)+s(16,32,20)-
s(32,40,28)t(40,40,20)c(24,40,20)s(16,48,20)*+*t(16,56,12)+
s(40,40,28)s(24,24,28)s(16,32,20)*c(32,24,20)*-t(32,48,20)*
c(24,40,20)s(32,40,28)s(24,32,28)**t(24,48,12)-t(40,40,12)-
t(24,32,28)s(8,16,12)+s(32,24,12)-s(24,24,28)*s(40,40,12)-
s(24,24,20)c(24,32,20)s(32,24,20)t(40,16,12)-**s(40,32,28)*
s(16,48,12)s(24,16,20)+s(48,24,12)t(24,40,28)+s(32,48,20)++
s(40,16,20)c(40,32,20)s(48,40,12)s(16,16,12)+--c(40,40,20)+
t(48,32,12)t(24,24,20)s(48,48,12)+s(40,24,28)*+c(40,40,20)*
s(16,16,20)t(16,16,12)-s(32,32,28)s(32,48,20)-s(48,40,20)--
c(32,40,20)t(40,40,20)c(48,24,12)--t(40,48,20)+s(32,24,28)*
c(24,32,12)s(24,48,20)+c(24,32,20)c(24,24,20)*s(16,24,20)*-
t(32,56,12)t(32,48,20)+t(24,48,28)t(32,48,28)s(24,16,12)+**
s(32,24,28)c(48,40,12)-c(32,32,20)t(32,40,28)c(16,48,12)+**
c(16,24,12)c(40,48,12)t(32,56,12)s(48,48,12)+++c(40,40,12)-
s(48,40,20)c(32,40,12)-s(16,48,20)+t(24,48,12)c(40,40,12)+-
s(24,24,28)s(16,48,20)-t(24,48,20)s(40,32,12)+-t(24,24,20)*
s(32,40,28)s(40,40,20)t(24,24,20)-c(24,24,12)+t(24,48,28)--
t(24,48,28)s(16,48,12)s(32,40,20)s(24,24,20)-t(48,48,12)-+*
s(16,48,12)s(40,32,20)+s(24,24,28)c(40,24,20)s(48,40,20)+*+
c(40,40,20)s(16,48,20)-s(24,40,28)c(24,32,12)-c(16,40,12)+*
t(24,32,28)s(24,32,20)*s(48,32,20)-t(40,40,20)s(40,32,20)+-
s(32,16,20)s(32,32,20)+s(24,40,20)t(24,32,28)s(16,40,20)**+
c(24,32,20)s(8,48,12)t(32,40,28)+-t(24,48,20)s(24,24,28)-+
s(48,40,12)c(48,16,12)t(32,48,28)c(40,32,20)-s(24,32,12)+++
s(32,48,20)s(8,24,12)c(24,32,20)+s(32,40,20)s(16,48,12)-*-
s(24,24,20)c(32,24,20)*c(32,40,12)+s(24,48,20)t(40,16,12)+*
s(32,32,28)s(48,48,12)-s(16,32,12)-s(32,16,20)*t(32,40,20)-
t(24,40,28)t(40,24,20)t(32,16,12)-s(32,48,12)+-c(32,40,20)*
t(24,40,28)c(32,40,12)-t(32,56,12)+s(40,40,20)+s(24,32,20)*
s(8,48,12)s(24,32,28)s(16,40,20)*+t(16,48,12)-c(48,48,12)+
s(40,24,28)s(32,40,20)c(32,40,20)c(48,48,12)-s(48,40,20)-*-
s(48,32,20)c(48,48,12)-s(32,32,20)c(24,24,20)*-s(8,40,12)+
s(40,24,28)c(32,24,20)s(24,8,12)-s(32,16,12)-s(32,40,28)*-
c(40,40,20)s(24,40,28)s(40,40,20)s(48,40,12)-s(16,48,20)--*
s(32,24,28)c(48,32,12)-t(32,40,20)-s(32,32,28)*s(24,40,20)-
t(32,40,28)s(32,40,20)t(32,48,20)c(16,40,12)++*s(24,40,12)-
c(32,32,28)s(48,16,20)-s(8,24,12)s(40,24,20)+*s(32,24,28)*
s(48,16,12)t(48,24,12)s(16,32,20)+c(32,24,12)-t(32,40,28)-+
s(32,32,28)s(16,40,20)-c(32,40,20)s(48,48,12)-+t(48,32,12)-
s(16,32,20)c(40,48,12)s(16,40,20)+s(40,40,28)*+c(32,40,20)-
s(32,40,20)c(40,40,20)*t(24,40,28)s(24,24,28)*+s(32,24,20)*
c(40,40,20)s(16,40,20)-s(48,32,20)c(48,16,12)-s(40,48,12)-*
t(24,48,28)c(40,24,20)-c(32,40,20)c(48,48,12)-t(48,32,12)-*
s(32,40,20)s(48,40,20)t(40,40,12)--s(24,32,20)s(24,40,20)**
s(40,32,28)s(48,24,20)s(40,40,28)s(24,24,20)---s(40,40,20)*
c(24,40,20)s(16,24,20)c(24,32,12)+-s(24,32,28)*t(32,24,20)+
c(24,16,12)c(48,48,12)c(16,24,12)++t(40,40,20)-t(24,40,20)-
c(40,24,20)s(32,40,28)+s(16,40,20)t(24,48,28)c(24,32,20)**-
s(32,24,28)s(32,48,12)c(32,24,12)s(40,48,12)++*t(16,16,12)+
s(48,40,20)t(48,24,12)-c(32,32,20)s(24,40,28)s(48,48,20)---
c(40,24,20)t(24,32,20)t(32,48,20)t(40,40,12)--t(16,56,12)+-
s(8,40,12)t(40,32,20)t(40,48,20)+c(32,32,12)s(32,48,20)+*+
s(24,24,28)s(8,32,12)s(40,32,20)+s(40,32,12)t(48,16,12)+*-
s(24,24,20)s(16,16,20)-t(40,40,20)+s(40,40,28)t(24,48,28)+*
s(24,40,28)c(24,24,12)-c(40,24,12)c(24,48,12)s(24,32,12)++-
s(24,32,20)s(40,24,28)+c(32,32,20)t(16,32,12)-*t(24,48,20)-
t(32,40,20)c(40,32,20)s(32,40,28)**t(24,32,12)+t(40,40,12)+
t(24,48,28)c(40,40,20)t(32,40,28)s(48,32,12)++t(48,40,12)-*
s(24,24,28)c(24,32,20)c(32,40,20)*s(16,48,12)c(32,24,20)+**
s(40,8,12)c(24,40,20)+s(16,24,20)s(32,24,20)*t(32,40,20)+-
s(32,32,28)s(40,16,20)s(48,48,12)c(32,16,12)++s(32,16,20)**
t(24,48,20)s(16,32,20)c(32,40,20)c(40,32,20)*s(40,40,20)*-+
t(32,32,28)s(32,40,12)-s(16,40,20)t(24,32,28)s(32,24,20)*--
s(48,48,12)s(24,40,20)s(40,40,12)-s(32,40,28)*+s(40,40,20)*
s(24,48,20)t(24,48,28)t(32,48,28)*t(40,48,12)-*s(24,32,28)+
c(48,32,12)s(48,48,20)s(40,24,28)t(24,24,12)-+c(32,24,20)-+
s(48,48,20)c(32,32,20)c(32,40,20)*t(48,32,12)-c(40,32,20)*+
c(24,24,12)s(8,40,12)c(32,32,20)t(32,40,28)-++c(24,16,12)-
c(32,32,20)s(24,24,28)s(32,16,20)s(48,40,20)+-+s(16,16,20)-
s(24,32,20)s(32,16,20)+s(40,32,28)c(48,48,12)-s(32,24,28)*+
t(24,32,28)t(32,48,28)c(40,40,20)*c(16,32,12)+*s(8,8,12)+
s(24,24,28)t(24,32,28)s(24,48,12)-s(24,8,12)-*s(24,40,20)*
s(48,40,12)s(40,24,20)s(24,24,28)s(32,48,20)-t(40,56,12)+*+
t(32,56,12)s(8,48,12)c(24,24,12)+s(24,48,20)s(48,24,20)+-+
s(32,32,28)c(24,40,12)-s(24,24,20)-t(40,24,20)+s(24,40,28)*
s(16,16,12)s(32,24,20)+c(40,40,20)s(32,16,20)--s(40,24,28)*
s(16,16,20)s(32,16,20)+s(48,40,20)s(24,24,20)+s(40,40,20)-*
s(24,40,28)s(40,32,20)s(32,24,28)t(24,40,20)-s(24,32,28)--+
t(32,32,20)c(32,24,20)c(40,48,12)s(40,24,20)s(32,8,12)++*+
s(24,24,28)s(32,48,12)+s(32,32,20)*c(40,16,12)-t(32,48,12)+
s(16,40,20)s(16,24,20)s(40,32,20)-s(24,24,20)*-c(24,40,20)*
s(40,40,28)s(48,24,20)t(32,24,20)s(40,24,20)*--t(24,40,28)-
s(24,24,28)s(40,32,20)*t(24,40,28)+s(32,48,20)t(32,40,12)-*
s(24,24,20)c(32,40,12)s(40,16,20)c(32,32,28)s(24,24,28)**++
s(24,48,20)c(24,40,20)s(16,40,20)-+t(24,40,20)*s(16,32,20)+
s(16,24,20)s(24,32,20)s(32,48,20)s(16,32,20)-t(48,56,12)--*
s(40,32,20)s(16,48,12)+t(48,48,12)c(24,48,12)c(32,24,12)++-
s(32,32,28)s(40,40,28)t(32,48,28)**c(40,40,20)s(48,40,20)*+
s(48,8,12)c(24,48,12)+t(40,32,12)t(24,24,20)+t(48,24,12)++
s(32,24,28)t(32,32,12)-c(32,32,28)s(24,24,20)c(32,24,20)*--
s(48,32,12)s(16,32,12)+s(40,32,20)t(32,40,28)*s(24,40,28)*-
s(24,48,20)s(40,32,20)s(48,16,12)-t(32,16,12)-s(40,24,12)--
c(32,40,20)s(32,16,12)s(32,40,28)c(40,24,20)s(40,32,28)**+*
s(40,32,20)s(24,16,20)-t(40,40,20)*t(32,32,20)+c(40,48,12)-
c(32,32,20)c(16,40,12)s(32,24,28)s(48,24,20)-+*t(32,40,12)-
t(32,56,12)s(32,32,12)+s(16,40,20)s(32,48,12)-c(48,16,12)+-
s(24,40,12)s(16,24,20)s(24,32,28)*+s(48,8,12)s(16,24,20)+*
s(32,16,20)s(32,24,20)s(40,8,12)-c(24,24,20)**t(24,40,20)+
s(32,40,28)s(16,32,20)s(32,32,28)*s(40,24,28)+*t(32,24,20)*
t(32,48,28)s(48,48,20)t(16,56,12)+s(8,32,12)t(48,16,12)++*
s(24,16,20)s(40,32,28)s(8,48,12)+-t(32,48,28)+s(40,48,20)-
s(32,32,28)s(32,24,20)t(24,24,20)-s(24,32,12)+s(48,40,20)-*
s(24,40,28)s(48,16,12)+t(32,32,28)s(16,40,20)+*s(16,48,20)-
s(40,40,28)t(24,48,20)-s(32,40,28)s(24,40,28)++s(32,24,20)*
s(32,24,28)t(32,40,28)s(8,32,12)+*s(24,16,20)s(32,32,28)*-
c(24,40,20)s(16,40,20)-s(16,48,20)-s(40,48,20)+s(32,24,28)*
c(40,24,20)t(24,40,28)s(40,40,28)s(8,48,12)+*-t(40,48,20)+
t(24,40,12)s(40,24,20)t(48,40,12)++s(48,24,12)-s(40,24,20)*
s(32,40,28)s(40,24,28)-t(16,24,12)s(24,8,12)t(40,24,20)++-
s(16,16,20)s(40,40,28)s(32,40,20)c(40,48,12)-*s(16,32,20)+*
c(24,24,20)c(32,40,12)+s(24,24,20)-s(24,40,12)-s(48,16,20)+
c(24,40,20)s(8,48,12)s(40,48,20)t(32,48,20)*+*s(40,40,28)+
c(40,24,20)t(48,40,12)c(24,40,20)s(24,24,28)*t(24,48,28)++-
s(32,16,20)s(16,32,20)+s(8,8,12)t(24,32,20)t(32,48,20)-+*
t(40,32,20)s(24,48,20)c(32,32,12)-+c(40,32,12)-c(24,40,20)*
s(40,48,20)s(40,32,20)t(24,56,12)c(40,40,12)+c(32,32,20)*--
t(24,32,28)s(40,32,28)t(40,48,20)+t(48,48,12)-t(32,40,12)--
s(16,24,20)t(32,24,20)+s(32,40,28)t(32,48,28)c(24,32,20)---
s(40,40,20)s(48,48,20)+c(40,48,12)c(48,48,12)+c(48,32,12)--
s(40,24,20)t(32,32,28)+c(16,24,12)-t(24,48,28)s(32,16,20)+*
s(16,8,12)t(32,32,28)+s(16,32,20)*s(40,24,12)+c(48,40,12)+
s(32,24,20)s(40,24,28)s(40,32,12)-c(16,40,12)+s(24,40,28)*-
t(40,56,12)c(24,32,20)s(24,24,20)c(32,24,20)**+s(24,16,20)*
s(32,24,28)s(40,32,20)c(32,40,12)s(48,40,20)c(32,32,12)-+**
t(40,48,20)c(24,24,12)+s(40,40,20)t(32,48,28)*c(32,32,20)*-
s(24,40,20)s(24,24,28)s(8,40,12)s(32,40,20)s(24,24,28)*+**
c(24,40,20)t(40,40,20)-s(32,32,20)s(24,24,20)*t(40,48,20)+-
s(24,32,20)t(24,48,28)*s(48,40,20)+s(32,24,20)t(48,32,12)+*
s(32,24,20)t(24,32,28)s(8,8,12)s(24,48,20)+*c(40,40,20)+*
c(32,16,12)s(24,40,20)c(40,40,12)-+s(16,8,12)+c(40,32,20)*
s(24,32,20)s(8,24,12)-s(32,32,28)c(40,16,12)-t(32,48,28)+*
s(8,32,12)c(48,32,12)s(32,32,12)++s(48,48,20)t(24,40,28)+*
s(32,24,20)t(40,32,12)-s(16,40,20)s(40,40,20)t(48,48,12)-+-
s(16,24,12)s(32,40,12)+c(40,40,20)s(32,40,20)*s(48,48,20)--
s(16,40,20)t(32,40,28)s(40,40,12)-c(40,32,12)c(32,16,12)+-*
t(24,48,28)s(32,40,28)*t(48,40,12)+s(24,40,20)s(24,8,12)+*
c(24,40,20)c(32,40,12)s(40,24,28)c(24,32,20)-++c(24,40,20)-
c(24,40,20)s(16,16,20)t(24,32,20)+c(48,16,12)c(32,16,12)+--
c(24,32,12)s(32,48,20)t(24,40,12)s(40,24,20)+-+s(24,48,20)*
c(24,32,20)t(16,24,12)-s(24,32,12)c(24,24,12)++s(48,16,20)-
s(32,24,20)c(24,40,20)+s(32,24,12)-t(16,48,12)s(32,24,28)+-
s(40,32,20)s(40,16,20)-c(32,40,20)s(24,40,28)*+c(24,32,20)-
s(16,40,20)t(32,40,28)s(48,48,20)+*s(24,16,20)+t(24,32,20)-
s(24,48,20)s(16,40,20)*s(32,40,28)s(40,24,28)s(32,48,20)--*
s(32,24,28)c(40,40,20)-t(24,32,28)s(48,48,20)t(32,56,12)---
c(24,40,20)t(24,32,28)t(16,48,12)+c(24,32,20)c(32,48,12)-*-
c(48,40,12)s(40,48,12)s(32,32,20)s(48,24,20)-c(40,32,12)-++
c(40,32,20)s(32,24,28)*c(32,24,20)t(40,48,20)-t(24,40,20)-*
s(32,48,20)c(16,32,12)t(24,40,28)t(40,16,12)++s(40,48,20)--
s(24,32,28)t(24,40,20)t(24,40,28)t(24,32,28)**t(40,40,20)+*
c(32,16,12)s(32,48,12)s(24,40,20)t(24,48,28)c(32,40,20)**++
t(24,32,28)s(16,24,20)s(32,16,12)+c(24,32,12)--s(16,48,12)-
t(48,48,12)t(24,16,12)+s(32,40,20)+c(40,32,20)s(16,40,20)-+
s(32,16,20)s(24,32,20)t(32,32,28)*-t(16,16,12)+s(48,24,12)-
c(24,40,20)t(32,48,28)s(32,40,12)-+s(48,48,20)t(24,16,12)+-
s(32,32,20)s(16,48,12)+s(32,32,28)*s(40,40,20)+s(40,48,20)*
c(40,40,20)s(16,40,12)s(40,40,12)+t(32,16,12)+t(32,56,12)++
s(48,32,20)s(32,48,20)-t(32,32,20)-s(24,40,20)t(32,40,20)*+
s(40,32,28)t(40,48,20)s(32,24,28)s(8,40,12)t(32,40,28)+-+-
c(24,40,20)s(48,40,20)-s(16,48,20)+t(24,32,20)t(16,48,12)+*
c(40,24,20)s(48,32,20)s(48,40,20)t(32,16,12)++t(24,24,20)-*
s(32,32,28)t(24,32,20)s(40,48,20)--s(48,48,12)s(24,48,12)++
t(32,48,28)s(40,32,20)t(24,48,12)+s(16,24,12)+*t(32,40,20)*
c(24,48,12)t(32,56,12)t(24,32,28)s(32,32,20)*+s(40,32,20)-+
s(48,32,20)t(24,24,20)c(48,32,12)+s(40,40,12)-t(24,16,12)--
s(40,32,28)s(32,24,20)-t(16,32,12)+s(8,16,12)s(40,48,20)+*
c(32,32,12)t(24,16,12)c(24,24,20)s(16,32,20)*+s(16,24,20)*+
c(24,32,20)s(24,24,20)s(48,32,12)s(40,48,20)t(48,32,12)-+++
s(24,40,28)s(8,48,12)s(32,32,28)c(32,24,12)-+s(32,16,12)+-
s(24,16,20)s(16,40,12)+s(24,40,20)s(24,32,20)*s(40,32,28)+*
s(24,16,12)s(8,48,12)+c(24,40,20)s(24,48,20)*t(48,48,12)+-
s(32,24,28)c(48,16,12)t(32,32,28)t(40,32,12)t(24,32,20)+-+*
c(32,32,20)s(32,24,12)s(24,32,12)s(24,48,20)++*t(24,40,28)+
c(24,24,20)s(16,40,20)-s(8,8,12)+s(40,32,12)-s(40,16,12)-
s(24,16,20)s(24,24,20)+t(32,32,28)s(32,24,20)s(24,48,20)-*+
s(48,8,12)s(32,24,28)s(40,32,28)*+s(24,24,28)c(40,40,20)*-
c(24,16,12)c(24,40,12)s(48,8,12)+t(32,48,12)-s(40,24,28)*+
t(24,32,20)s(8,48,12)s(24,24,20)+*t(24,48,28)+s(24,48,20)-
s(8,40,12)t(24,24,20)s(24,24,20)s(32,32,20)s(16,16,12)+**+
c(40,24,20)t(24,24,12)-s(32,40,12)-c(32,40,20)-c(32,32,28)*
s(48,8,12)s(40,40,28)s(24,24,20)s(24,32,20)*-+c(24,40,20)-
s(16,24,20)c(32,24,20)-t(32,48,12)+s(24,24,12)+c(16,40,12)-
c(16,40,12)t(24,32,28)c(32,32,12)-+s(8,40,12)c(16,16,12)+*
s(32,16,20)c(24,32,20)+t(24,40,20)t(24,32,20)+c(32,16,12)--
t(32,32,20)s(16,8,12)c(24,32,20)c(24,24,20)t(48,56,12)+*+*
s(40,32,20)c(24,24,20)t(32,32,20)*s(16,48,12)+c(32,48,12)-+
c(48,48,12)t(32,48,28)t(48,56,12)-+c(32,32,28)*s(48,40,20)*
s(40,40,20)s(40,40,28)c(40,16,12)s(40,24,20)c(40,32,20)*+-*
s(48,32,20)s(32,32,28)s(48,48,20)t(40,48,20)*-s(32,16,12)--
s(48,32,20)t(24,32,12)+c(32,24,20)t(32,40,12)-s(40,8,12)-*
t(32,24,20)s(40,16,20)+s(40,40,28)s(40,24,28)*s(40,24,20)**
s(48,24,20)s(48,16,20)s(32,8,12)c(40,16,12)s(16,48,20)++*-
s(40,8,12)s(16,24,20)+c(32,24,20)s(48,16,12)-t(24,48,28)+*
s(24,32,28)s(8,32,12)-s(48,48,12)c(40,48,12)+-c(40,24,20)-
s(32,32,12)s(32,32,28)s(48,24,12)-s(40,32,12)-s(40,8,12)++
c(16,48,12)s(16,32,20)+s(32,32,28)s(8,24,12)c(24,32,12)++*
t(32,40,20)s(16,48,20)t(40,32,20)s(40,48,20)c(40,32,20)*+--
s(24,24,28)s(48,48,20)t(24,32,28)s(8,16,12)++*s(32,16,12)-
c(32,24,20)t(32,40,28)s(32,24,28)c(40,24,20)c(24,48,12)+***
c(32,32,12)t(24,32,20)+c(40,24,12)-t(32,48,28)s(16,48,20)*+
c(32,24,20)s(40,40,28)s(16,48,20)t(24,48,20)-+-s(24,24,28)*
s(24,24,12)t(40,56,12)+c(48,16,12)+s(40,24,20)*t(16,16,12)+
s(32,8,12)s(40,24,20)+s(24,48,20)s(24,24,20)s(16,16,12)-++
s(8,8,12)t(24,40,12)s(48,40,20)++s(24,16,12)+s(40,32,20)-
c(48,32,12)c(24,40,20)t(24,32,28)s(32,24,28)*-+c(16,40,12)+
c(40,40,20)c(40,32,20)t(40,40,20)s(40,48,12)+t(32,56,12)+*-
s(16,32,20)s(40,48,20)s(24,48,20)*+s(32,40,20)s(24,8,12)+*
s(32,40,28)c(32,24,20)s(24,48,20)+c(24,24,12)-t(24,48,12)-*
s(32,40,28)c(40,40,20)s(40,48,20)*-c(24,40,20)*s(32,48,20)-
s(16,40,20)t(32,56,12)+s(32,24,12)+s(32,32,28)*t(32,40,12)-
t(48,16,12)s(40,32,12)s(32,32,20)t(24,40,28)*+s(48,48,20)-+
t(24,32,28)t(16,24,12)-c(40,40,20)-s(40,32,12)+s(16,24,20)+
c(32,24,20)s(40,40,28)t(32,32,28)c(24,24,20)*s(16,32,20)+-+
s(24,48,20)s(16,8,12)t(16,56,12)c(32,40,12)+c(48,40,12)++*
s(24,32,28)c(40,40,20)s(48,40,12)-s(48,40,20)*s(32,48,20)+*
s(40,32,28)t(32,32,28)s(32,48,20)c(24,32,20)t(32,40,28)*++*
s(16,40,20)s(24,24,12)-s(40,24,28)c(24,32,20)*c(40,48,12)-+
s(24,48,20)s(40,32,28)t(40,40,12)-t(24,40,20)t(40,32,20)++*
s(32,32,20)c(40,16,12)t(40,40,20)+s(40,24,28)+t(32,40,28)**
c(40,40,20)c(32,40,20)s(32,32,12)s(16,40,12)+*c(48,24,12)+-
s(32,40,28)s(24,40,28)c(16,40,12)c(40,24,12)+**t(24,32,12)-
s(32,40,28)s(40,48,20)s(16,8,12)s(40,32,12)+t(48,24,12)--*
s(32,32,28)c(48,48,12)-s(16,24,20)+t(24,48,28)c(48,40,12)+-
t(32,56,12)c(24,32,12)+t(24,24,12)s(48,32,12)++s(40,24,28)*
t(24,40,28)c(24,40,20)*t(16,24,12)c(48,40,12)+-s(40,24,20)-
s(16,32,20)s(40,40,20)t(48,56,12)+-t(32,48,12)s(24,32,20)+*
c(24,16,12)s(24,40,20)t(16,32,12)-+s(16,40,12)-s(16,40,12)+
t(32,40,12)s(48,16,20)+s(16,48,20)s(40,24,28)s(24,24,20)*+-
c(40,24,12)s(48,40,12)+c(48,16,12)s(24,16,12)++s(40,24,20)*
c(40,24,20)s(48,32,20)t(16,40,12)c(40,32,12)+-c(32,16,12)+*
c(32,32,28)s(32,48,20)*t(40,40,12)-s(16,24,20)+c(40,48,12)-
t(40,24,20)t(24,40,28)+s(8,24,12)c(40,16,12)t(32,32,20)++*
t(40,32,20)s(32,16,12)+s(16,24,20)+t(24,56,12)+s(16,48,20)*
t(24,32,28)s(24,24,20)s(24,32,20)s(40,16,20)-+*t(24,40,28)*
s(24,40,28)c(16,40,12)-t(32,48,28)-s(32,40,20)c(16,40,12)-+
c(40,32,20)s(16,8,12)+c(32,32,20)s(24,40,20)-*s(24,24,28)+
s(8,48,12)c(32,40,20)t(16,56,12)t(32,56,12)+-+s(16,40,20)-
s(32,24,20)t(32,48,28)-t(32,32,28)t(24,32,28)s(32,40,28)**-
s(40,32,28)s(24,32,28)s(24,40,28)t(32,40,28)***c(48,16,12)+
s(24,40,20)s(8,40,12)-c(40,24,12)-s(24,32,20)s(40,24,20)-+
s(32,24,20)c(32,40,20)s(8,8,12)+s(24,8,12)+*s(48,16,20)+
t(24,48,28)t(32,32,28)s(48,16,20)s(40,24,28)*-s(40,32,28)*+
t(16,56,12)s(40,32,20)+s(40,40,20)*s(40,8,12)s(48,40,20)+*
s(48,48,20)s(24,40,28)s(40,40,28)*s(24,32,20)s(16,24,20)*+-
c(24,32,12)c(32,48,12)s(16,24,12)++s(24,48,12)-c(16,40,12)-
t(24,48,20)t(48,48,12)s(16,16,20)++t(40,48,20)+t(40,40,20)*
s(40,48,20)t(32,48,28)*s(40,16,20)s(40,32,20)-+s(24,24,28)-
s(24,40,28)c(32,40,20)*s(16,24,20)-c(32,32,20)s(40,40,20)**
t(32,32,28)t(24,32,20)*t(24,48,28)s(24,16,20)s(40,40,20)+-+
c(24,32,20)c(40,32,20)*s(8,16,12)+s(24,32,12)+c(24,24,20)*
s(24,24,28)s(32,40,12)s(24,40,28)s(32,48,20)t(24,32,12)--++
c(24,24,20)s(32,40,12)-s(24,24,20)s(24,8,12)s(40,32,20)++*
s(32,40,20)s(24,40,20)s(24,32,20)*t(32,24,20)+s(40,24,28)**
c(40,40,20)c(24,40,12)-s(48,48,20)*t(24,56,12)+t(24,48,28)+
t(40,24,12)c(40,32,20)t(24,48,28)t(48,56,12)t(32,24,20)++-+
s(24,24,12)s(32,48,20)c(40,24,20)+c(32,32,20)s(24,32,28)**+
s(40,48,20)s(24,32,28)t(32,32,28)*t(24,48,28)+t(24,48,12)-*
t(32,40,28)t(40,24,20)s(16,32,20)s(32,40,28)t(24,40,28)+*+-
s(40,40,20)t(32,48,28)+s(24,32,28)c(32,40,20)t(24,48,28)+**
s(48,16,20)t(40,40,20)+c(40,32,20)*t(24,32,28)c(16,24,12)+-
c(48,48,12)s(32,24,20)s(48,40,12)+s(24,40,12)-+s(32,16,20)*
t(24,40,28)c(24,40,12)c(40,40,20)c(32,24,20)-+s(40,48,20)*-
s(16,40,20)c(16,40,12)t(48,40,12)t(24,48,20)++t(48,40,12)-+
s(48,48,20)c(32,32,12)+c(32,24,20)c(32,32,20)c(48,24,12)-*-
c(24,24,20)s(40,24,28)s(40,8,12)s(40,32,20)+**c(24,16,12)+
s(40,24,12)c(24,24,20)s(16,32,20)*s(24,16,20)++c(32,32,28)*
c(24,40,20)c(32,40,20)*c(24,40,12)-c(24,32,20)+s(16,32,20)-
s(40,24,20)s(32,24,28)t(32,40,20)-*s(24,48,20)t(40,32,20)++
c(32,32,28)c(40,24,12)s(16,8,12)+s(24,8,12)-s(48,8,12)+*
s(40,24,28)s(24,8,12)s(40,32,12)+s(48,40,12)+-s(32,24,20)*
t(48,56,12)s(48,8,12)+c(32,32,20)t(24,48,20)-+s(32,48,20)-
s(32,32,28)c(40,32,12)s(40,16,20)+s(16,48,20)s(16,32,20)*+*
t(24,32,28)s(16,8,12)s(40,48,20)+t(32,48,28)*s(8,8,12)+-
c(32,24,20)t(40,16,12)-s(16,40,20)s(48,24,20)s(32,24,12)++*
c(40,40,20)c(32,32,12)c(40,32,20)t(32,24,20)-+s(40,48,20)--
t(24,40,28)s(24,8,12)s(40,32,28)++s(32,32,28)-t(32,48,12)+
s(24,24,20)s(32,16,20)t(24,32,12)t(32,48,28)+-s(16,24,12)++
s(48,32,12)t(24,24,12)+s(24,32,28)+c(24,48,12)t(32,32,28)+*
c(32,24,20)s(24,40,12)t(32,32,28)c(32,24,20)*+*c(24,32,20)*
t(32,32,28)s(48,24,20)t(32,40,28)s(48,40,12)-t(32,32,28)*+*
s(40,16,20)t(24,48,20)c(32,32,28)s(40,48,20)-+c(24,40,12)-*
s(32,32,28)t(40,24,20)s(8,40,12)+c(16,40,12)-t(32,32,20)+*
s(40,32,20)t(24,48,28)t(32,48,28)*+s(48,32,20)t(48,16,12)+*
t(40,56,12)c(32,32,20)s(40,48,20)+s(32,24,12)-c(40,24,20)*+
t(48,48,12)s(24,48,12)s(40,8,12)+s(16,48,20)c(24,40,12)--+
s(32,32,20)s(40,16,20)s(8,32,12)++c(24,32,20)*s(32,40,20)*
t(40,48,20)s(48,32,12)+s(48,48,20)c(24,32,20)+*s(32,8,12)+
c(40,40,20)s(48,24,20)s(16,40,12)+s(24,24,20)t(24,32,12)-+-
t(16,48,12)s(8,16,12)+c(32,32,20)t(40,32,12)-s(24,48,20)-+
t(16,48,12)t(40,32,20)s(16,24,20)t(24,40,20)-++t(40,24,20)-
c(40,32,20)s(48,40,20)t(24,32,20)+s(32,24,20)s(16,24,20)-+*
s(24,32,20)t(24,32,20)t(32,40,20)t(32,32,28)+c(32,32,20)**-
c(40,32,20)t(40,24,20)s(32,24,20)t(24,24,20)+++t(16,48,12)+
s(32,32,20)c(24,40,20)+s(24,32,28)*s(16,24,20)*s(40,24,12)+
c(32,32,20)c(32,24,20)s(32,40,28)s(24,40,28)*s(24,16,12)+**
s(24,32,28)c(24,16,12)s(48,40,20)t(32,32,20)t(24,40,12)--+*
c(32,24,20)s(32,32,20)c(32,32,20)c(32,24,12)-*-c(40,40,20)-
s(32,8,12)c(24,24,20)s(24,8,12)-s(40,32,20)++c(48,32,12)-
c(24,24,20)s(32,32,28)c(24,16,12)-c(32,24,20)t(32,40,28)**-
s(48,32,20)s(40,24,28)s(24,40,20)s(24,48,20)*-*s(24,24,20)-
s(40,32,28)s(24,16,20)-s(16,16,20)s(32,32,20)+s(32,16,20)++
s(8,8,12)s(40,24,28)s(24,48,20)-+t(40,56,12)+t(32,32,28)-
t(40,24,20)t(24,48,20)s(24,32,28)++t(32,24,12)-s(24,48,20)*
c(32,24,20)t(32,48,28)-c(40,24,12)s(32,24,20)t(32,32,12)-+*
s(24,32,28)t(24,40,12)-t(16,56,12)+t(24,40,20)+s(32,16,20)*
t(24,48,20)s(48,40,20)s(48,32,20)*+s(24,40,20)*t(24,24,20)-
s(32,24,20)s(16,40,12)+s(40,24,20)-s(48,8,12)s(24,16,12)++
t(32,32,28)s(48,40,20)s(48,24,12)+-s(16,40,12)s(8,8,12)+-
t(16,32,12)t(32,48,28)s(32,32,20)+s(24,32,20)-+s(32,48,20)+
t(40,32,20)c(32,16,12)t(32,32,28)+s(32,48,12)+s(24,32,12)-*
t(40,32,20)c(32,16,12)+s(32,48,12)t(24,24,12)+-c(24,40,12)+
s(32,24,28)s(40,24,20)-s(40,16,20)t(40,48,20)++s(40,32,28)*
s(32,24,28)s(16,8,12)-s(24,48,20)s(48,24,20)+c(48,40,12)+*
c(32,24,20)c(48,48,12)s(40,24,20)+c(40,40,20)-s(24,24,12)+-
c(40,24,20)c(24,32,12)t(40,32,20)+c(24,24,20)*t(32,40,28)*-
s(32,32,28)c(40,32,20)c(40,40,20)*t(40,16,12)t(32,48,28)+*-
t(24,32,28)s(40,16,12)s(16,40,20)+s(40,16,12)-t(24,40,28)**
s(32,32,28)s(40,24,28)c(32,32,20)+*s(32,16,12)-c(24,24,20)*
t(24,32,28)s(40,32,20)s(24,32,28)*c(48,16,12)+t(48,24,12)-*
t(40,48,20)s(32,16,20)+s(16,24,20)s(24,32,20)++s(32,32,12)-
t(24,40,28)t(48,48,12)s(24,40,28)s(16,32,12)-+c(16,40,12)--
c(32,32,20)s(32,24,28)s(32,16,12)-c(24,40,20)--s(40,24,28)*
s(16,24,12)t(32,32,28)s(16,48,20)++t(24,48,20)-s(32,40,20)-
c(40,32,20)s(32,24,20)s(24,40,28)t(32,48,12)-t(40,32,20)+*-
t(32,40,20)t(24,32,28)t(24,48,28)t(24,32,20)-s(48,48,20)-+*
s(32,24,28)c(32,40,20)-s(24,16,20)s(32,32,28)*-c(32,16,12)+
t(48,40,12)s(32,48,12)s(32,16,20)+t(40,24,20)s(32,32,28)*-+
c(16,48,12)s(40,40,20)+s(40,48,20)s(24,48,20)+*c(24,24,20)-
c(32,24,12)s(40,32,20)s(24,40,12)s(48,40,20)s(16,16,12)++*+
s(48,24,20)c(40,24,20)c(40,40,20)s(24,24,28)*-s(24,24,20)+*
s(48,32,12)s(32,24,28)t(40,24,20)t(48,48,12)+-+c(32,40,20)*
s(16,48,12)t(40,32,12)s(16,16,20)s(16,8,12)-++c(40,40,12)-
t(32,32,28)c(24,24,20)s(48,16,20)-*c(48,24,12)s(40,8,12)++
c(32,40,20)t(24,24,12)-s(32,32,20)c(24,32,12)-+s(40,40,28)*
s(48,40,20)c(24,32,20)t(24,24,12)s(24,48,20)+*+s(32,24,20)-
s(40,32,12)s(40,16,20)c(24,16,12)t(40,48,20)s(32,32,20)++*+
s(24,8,12)t(16,48,12)s(24,16,20)+t(40,40,12)+s(24,40,20)*+
c(32,24,20)t(32,40,20)-c(32,24,20)t(48,48,12)+s(48,32,20)-*
s(32,24,20)t(24,24,20)+c(32,24,20)c(40,32,20)c(40,40,20)*--
t(32,24,20)c(32,40,12)c(16,16,12)+s(24,40,28)*s(16,48,20)--
s(40,16,20)t(24,16,12)-s(40,8,12)s(32,32,20)c(16,32,12)++*
s(16,40,12)c(24,32,20)s(16,24,20)*+c(40,40,20)s(16,16,20)+*
t(16,48,12)s(40,40,20)+s(24,32,28)s(16,24,20)-*t(16,24,12)+
s(40,40,28)s(32,48,12)t(48,16,12)+s(40,8,12)-s(16,24,12)+*
s(32,16,20)s(40,24,20)s(32,32,28)t(32,48,28)-*-t(40,24,20)-
s(24,40,20)t(48,32,12)+s(40,40,28)*s(48,32,20)s(32,32,20)*+
s(32,24,20)s(40,40,28)c(24,40,20)t(32,40,28)c(24,24,20)*--*
s(40,8,12)t(40,32,20)t(24,32,20)++t(32,40,12)-t(40,32,20)*
s(48,48,20)c(32,32,28)t(24,24,20)-+s(48,40,20)t(40,48,20)-*
c(40,32,20)s(32,24,28)s(8,48,12)+*s(24,24,28)s(40,48,12)+*
c(24,40,20)t(16,48,12)-s(8,32,12)t(48,48,12)+t(40,56,12)+-
s(48,24,20)s(16,24,20)+s(16,24,20)c(24,40,12)s(24,16,20)++*
t(24,48,20)c(40,40,12)s(48,32,12)++t(24,40,28)t(40,56,12)+-
s(16,32,20)t(32,32,20)t(24,40,12)s(32,48,20)c(40,32,20)-+-+
t(40,48,20)s(16,32,20)+s(24,32,28)*s(8,8,12)s(16,24,20)++
s(40,24,28)s(32,40,28)+s(32,48,20)-s(48,16,12)-t(40,32,20)-
t(40,24,20)s(24,40,12)+t(24,40,28)+s(32,40,20)-s(8,40,12)-
s(24,40,12)s(40,32,28)c(24,40,12)t(32,24,12)+t(40,24,20)+*+
s(24,40,20)s(24,32,28)t(32,48,28)+s(8,48,12)t(48,16,12)+-*
s(32,48,20)t(32,24,12)s(32,24,28)c(40,32,20)-++s(40,32,12)-
s(48,48,20)t(24,32,20)s(48,24,12)+t(24,40,28)*s(48,32,12)++
c(32,24,20)t(24,32,28)c(24,16,12)+s(32,24,12)-s(32,24,28)**
t(32,40,28)s(24,32,28)s(16,24,12)c(24,48,12)+-s(32,24,20)+*
s(32,24,20)s(16,48,20)+s(48,48,20)t(48,32,12)-s(32,16,12)++
s(32,24,28)s(32,32,20)t(40,16,12)t(32,48,12)+s(40,16,12)+++
t(24,16,12)c(32,32,12)+c(40,32,20)+s(48,16,12)+s(16,40,20)-
s(16,24,20)s(24,48,20)t(32,24,12)+t(40,24,20)--s(32,24,12)-
c(32,40,20)s(24,32,20)s(24,48,20)*s(16,24,20)+*s(16,24,12)-
s(24,16,20)c(48,48,12)t(16,40,12)+t(24,32,20)-s(24,32,28)+*
s(24,24,28)c(24,32,20)s(24,40,28)**s(24,32,20)*t(32,40,28)*
s(40,24,28)s(40,16,20)s(32,16,12)t(40,56,12)+s(16,48,20)++*
c(16,16,12)s(40,32,20)+s(40,24,20)s(8,40,12)+s(40,8,12)-*
t(32,48,28)s(24,16,12)c(32,40,20)s(40,32,12)-+*s(32,40,20)+
t(48,48,12)s(32,24,20)s(40,40,12)+s(24,32,20)c(16,16,12)+*+
c(32,24,12)t(32,48,20)s(24,48,20)s(40,48,20)t(48,32,12)+*++
c(40,16,12)c(24,40,20)+t(24,48,20)-s(32,32,12)-c(40,16,12)-
s(40,32,28)c(32,24,20)c(40,24,12)c(24,40,12)+s(24,24,28)**-
s(32,40,28)s(32,16,20)s(48,16,20)t(32,32,28)+*-t(40,24,20)-
t(32,48,20)c(16,24,12)+s(24,40,28)t(32,48,28)+t(32,32,28)-*
c(32,40,20)s(48,40,12)s(16,40,12)+-c(32,24,20)s(24,24,28)**
t(48,16,12)s(8,40,12)c(24,24,12)++s(48,32,12)t(24,32,20)+-
s(8,8,12)s(24,40,28)+c(40,24,20)*s(16,16,20)+c(24,16,12)-
t(24,48,28)s(32,40,20)c(32,24,12)-*s(32,40,12)+s(24,32,28)*
s(16,40,20)t(32,40,28)t(24,16,12)+-c(32,32,20)+t(40,48,20)-
s(16,48,20)c(40,48,12)+c(24,32,12)-s(32,24,28)s(40,16,20)+-
s(40,32,20)t(32,32,28)s(48,16,12)+s(40,24,20)*c(48,16,12)-*
c(40,24,12)s(32,32,28)t(32,40,12)-s(16,48,12)-c(24,32,20)-+
t(32,24,20)c(40,32,20)*s(48,16,20)+s(32,24,28)c(24,48,12)+*
s(32,40,28)t(24,32,28)s(48,40,20)-s(40,40,20)c(32,40,20)*+*
s(32,16,12)s(24,40,28)t(24,40,12)-s(24,24,20)*+t(24,32,12)-
s(48,32,20)s(8,40,12)t(40,32,20)c(16,16,12)++-c(40,24,12)+
c(32,40,20)t(16,40,12)t(40,24,20)+s(32,40,28)*t(40,32,12)--
s(32,40,28)s(32,16,12)s(40,40,28)t(32,48,28)-+*c(48,40,12)+
t(48,32,12)s(32,24,20)+t(16,16,12)+s(32,32,28)c(40,16,12)--
t(24,32,28)c(32,32,28)s(24,48,12)-t(32,40,28)s(24,16,12)+--
c(24,24,20)t(24,32,28)s(8,32,12)-s(16,16,12)-t(32,32,20)**
s(32,24,20)s(40,32,28)*t(24,56,12)+t(24,48,28)s(16,8,12)+*
s(32,40,20)s(40,24,20)s(40,40,28)s(16,48,20)-*s(24,24,28)+*
c(40,24,20)s(32,24,28)*s(32,40,28)s(48,48,20)c(40,32,20)+**
c(24,32,12)s(40,24,28)t(32,24,20)-t(48,16,12)-t(40,40,20)-+
s(24,40,28)t(32,32,12)-c(24,32,20)t(32,24,20)*t(40,24,20)++
c(32,32,28)s(40,24,28)t(48,16,12)-*t(24,40,28)-s(32,32,28)*
s(32,40,28)s(40,40,20)t(40,48,20)+*c(32,32,28)s(24,48,20)*+
t(32,48,20)s(40,40,20)s(48,40,20)*s(32,32,28)c(48,16,12)+*-
c(32,32,12)c(24,16,12)+s(40,24,28)c(40,32,20)-c(40,48,12)+-
s(40,40,28)c(32,40,12)-s(32,24,12)-t(24,48,20)+c(24,40,12)-
s(24,40,20)s(40,32,12)+c(24,32,20)s(24,24,28)s(32,24,12)-**
c(32,32,20)c(48,32,12)c(24,32,12)+*c(40,24,12)t(24,24,20)+*
s(24,32,20)s(32,24,28)t(32,48,20)s(8,16,12)+c(32,24,20)+**
t(40,32,20)c(16,48,12)c(40,32,20)+c(40,32,20)s(24,16,20)---
s(24,32,28)s(40,32,20)s(40,32,28)t(24,32,20)-s(40,40,20)-+-
s(32,32,20)t(32,48,28)t(40,32,20)-t(32,32,28)t(32,48,28)*-+
s(40,32,12)s(24,16,20)t(24,32,28)*+c(16,24,12)-c(32,40,12)+
s(32,32,20)c(32,16,12)-s(40,40,20)t(48,32,12)-+c(40,32,20)*
c(24,32,20)s(8,48,12)s(48,48,20)t(32,32,28)+c(40,24,20)*+-
t(16,32,12)c(48,40,12)s(32,48,12)+c(32,24,12)t(32,56,12)+++
s(40,8,12)t(24,48,20)+s(32,24,28)+t(24,32,28)*s(40,32,28)*
c(32,32,20)s(32,24,12)t(32,48,28)+t(24,24,20)+s(24,24,28)-+
c(32,40,20)s(40,40,20)s(48,40,20)t(48,32,12)s(24,32,20)+---
s(32,40,28)s(48,24,20)t(32,40,20)-t(24,24,12)+*s(16,24,20)+
s(40,24,28)c(32,16,12)t(16,56,12)++s(48,16,20)*c(40,40,20)-
s(48,24,12)s(32,40,28)s(40,48,20)*+s(48,40,12)-s(48,48,12)-
s(32,40,20)c(24,24,20)t(40,32,20)--s(48,40,20)s(24,32,20)--
s(40,40,20)s(24,24,20)s(40,40,28)s(24,32,28)+c(48,40,12)-*-
s(8,40,12)s(16,32,12)+s(32,24,28)s(16,16,20)-c(32,40,12)--
s(16,24,20)t(32,48,20)+s(24,32,20)*s(40,32,12)-s(24,40,20)*
s(48,40,20)s(32,24,12)+t(32,48,28)s(40,40,28)*-t(32,32,20)-
s(48,24,12)s(24,24,28)c(40,24,20)s(40,32,28)**+c(24,32,20)*
s(32,24,20)t(32,16,12)-s(32,40,20)t(24,48,28)*t(24,40,20)*-
c(32,24,12)t(24,40,28)+t(16,56,12)s(16,8,12)+c(40,40,20)+-
t(32,48,12)t(40,40,20)+s(8,16,12)s(48,8,12)t(40,40,20)++*
c(32,32,20)s(16,16,12)s(24,32,20)s(40,40,20)+s(40,48,20)*+*
c(32,16,12)t(24,32,28)t(48,40,12)+s(40,40,28)*t(24,32,20)++
s(16,40,20)s(16,8,12)s(48,32,20)t(16,48,12)++s(16,24,20)--
s(40,48,20)s(24,32,20)t(16,32,12)-c(48,24,12)+s(24,32,12)--
t(40,56,12)s(24,32,20)s(32,40,20)-+c(40,32,20)-t(48,40,12)+
s(32,16,20)t(24,56,12)s(32,24,20)+*s(40,24,28)c(32,16,12)--
c(32,32,28)s(40,16,20)s(32,40,12)+*t(24,40,12)-s(40,16,12)-
s(32,24,28)s(24,40,28)s(32,16,20)+t(40,16,12)c(32,48,12)+-+
t(24,32,20)t(16,40,12)+c(24,24,12)+s(24,16,12)-s(32,48,12)-
c(24,32,20)t(24,40,28)s(32,32,20)*-s(40,24,28)-t(16,40,12)+
c(24,24,20)s(32,40,28)-s(32,32,12)s(40,16,12)+c(40,32,20)*-
s(40,48,20)s(24,16,20)c(32,32,28)*+t(32,32,12)-c(24,24,20)*
s(32,32,20)s(24,40,28)t(32,40,12)t(24,40,12)+-s(8,48,12)-+
s(16,32,20)t(32,32,28)*c(48,40,12)+s(32,32,20)*s(48,40,12)+
c(32,32,28)s(24,48,20)c(16,16,12)+s(24,24,12)+*t(24,24,20)-
s(40,16,20)s(32,24,20)c(24,24,20)s(24,32,20)+*t(16,32,12)--
s(48,24,20)t(40,32,12)-t(40,32,20)+s(32,24,12)-t(40,56,12)+
s(32,40,28)c(48,40,12)-s(24,16,20)s(40,24,28)*s(40,48,20)+*
c(32,40,20)c(40,24,20)s(24,32,12)-t(24,48,20)+s(16,48,12)--
t(32,56,12)c(40,32,20)t(32,24,20)*+c(24,24,20)s(32,40,12)+*
s(40,32,28)s(40,48,12)s(48,16,20)+s(48,48,20)+c(40,24,12)-*
s(40,48,20)c(32,32,20)t(40,56,12)t(40,24,12)+-*s(8,24,12)+
s(40,40,28)s(16,24,20)-s(32,24,28)t(24,48,28)s(32,8,12)+*+
t(16,56,12)s(40,24,20)+t(32,32,12)-s(32,40,12)+c(16,40,12)+
c(40,40,12)c(32,24,20)c(32,40,20)c(40,32,20)**s(40,32,20)*+
t(32,32,12)s(32,24,12)+t(32,48,28)+t(24,40,12)-c(32,48,12)-
s(40,40,20)s(48,40,20)*t(40,16,12)s(32,40,20)+*s(40,32,20)+
s(8,16,12)s(32,40,20)+s(8,8,12)t(24,32,28)+c(32,24,20)**
s(24,32,28)t(24,40,20)-t(40,48,20)-s(48,40,12)+c(40,24,20)*
c(40,24,20)s(40,32,28)s(32,32,28)**c(32,32,20)*s(32,32,20)*
c(32,40,20)t(24,32,28)*s(48,24,20)-t(24,48,28)s(32,24,20)+*
t(40,40,20)c(32,40,20)s(32,24,28)c(24,32,20)*+s(32,24,12)-*
c(24,40,20)t(32,40,28)s(40,40,28)c(24,40,20)*t(32,48,20)*-*
s(40,40,20)c(32,40,20)s(40,24,20)*s(48,32,20)c(48,48,12)-+*
t(32,32,28)c(40,32,20)s(40,24,28)*s(32,32,28)**s(24,32,28)*
t(32,48,28)s(40,32,20)+c(24,40,20)t(24,32,28)s(48,24,20)++*
s(48,32,20)t(24,40,28)-c(40,24,20)s(48,8,12)-t(40,48,20)-*
t(24,40,28)s(32,16,20)s(32,40,12)s(48,8,12)+-+s(24,40,12)-
s(16,40,20)t(40,40,12)c(32,24,12)+-s(24,24,20)t(24,32,28)+*
s(32,40,28)c(40,32,20)-s(32,16,20)t(40,56,12)t(24,32,28)+++
s(24,24,28)s(48,32,20)-c(32,24,20)s(24,40,28)--s(16,16,20)*
c(40,40,20)c(32,40,20)s(24,40,28)t(16,40,12)-*s(40,32,28)**
c(40,40,20)t(24,32,20)c(40,32,20)+t(24,24,12)-t(24,32,20)+*
t(24,32,28)c(24,24,20)s(24,40,20)*s(16,16,20)+*c(32,32,12)-
s(24,48,20)s(24,40,28)c(24,40,12)--t(40,32,20)+s(48,24,20)+
c(40,24,20)t(40,24,20)t(32,32,28)+*t(24,40,28)-c(40,32,20)*
s(40,48,20)t(32,40,28)s(16,32,12)+*s(32,32,20)s(40,24,20)*-
s(48,16,20)t(40,32,12)s(24,24,20)t(40,56,12)++-s(40,24,20)+
s(48,32,20)c(40,40,20)+s(40,32,28)c(32,32,20)**t(24,48,28)-
s(16,16,20)s(8,32,12)+c(24,40,20)+s(16,16,12)-s(24,32,20)*
t(32,40,28)c(48,48,12)-t(40,32,12)-c(40,24,20)t(24,32,28)*-
c(40,24,20)c(24,24,20)t(32,40,28)s(32,24,28)*-+c(32,40,12)-
s(32,32,20)t(32,40,20)+s(40,24,20)s(48,8,12)t(48,16,12)+-*
s(40,24,12)s(32,48,20)+s(40,48,20)c(24,32,12)-c(32,32,12)-*
c(40,40,20)s(24,24,28)c(40,24,20)c(32,40,12)-*-c(40,32,12)-
c(32,16,12)s(40,40,28)s(40,40,20)s(48,24,20)+-+t(32,40,28)-
s(32,32,28)c(32,40,20)s(16,24,20)s(16,16,20)*+*s(16,40,20)-
t(40,32,20)t(24,40,28)s(32,24,28)-c(24,40,20)c(40,24,20)-*+
s(40,24,28)s(32,32,28)s(40,32,28)+*c(40,40,20)s(48,32,12)-*
s(32,32,20)s(16,24,20)-s(40,40,28)s(24,32,28)t(32,40,20)--+
s(24,32,28)s(40,16,20)s(40,32,20)*s(48,40,12)c(48,24,12)+++
c(24,40,20)s(40,24,28)s(16,24,20)+c(48,16,12)-t(48,16,12)+-
s(32,24,28)t(48,32,12)-s(48,48,20)s(24,24,20)+s(24,16,12)-*
t(24,40,20)c(40,40,12)+t(16,40,12)t(24,32,20)+s(32,24,28)*-
t(32,32,28)t(24,40,20)+c(32,40,20)+c(48,32,12)c(16,40,12)+*
s(32,40,28)c(16,32,12)c(24,40,20)s(32,24,20)*+*c(40,40,12)-
s(32,32,28)s(24,48,12)t(40,32,20)+c(24,32,20)*-t(40,48,12)-
t(32,48,28)c(40,32,20)c(40,24,20)+s(32,32,28)c(16,24,12)-**
c(32,32,28)s(40,48,12)s(48,24,20)+-s(48,16,20)s(16,24,20)+*
c(40,24,20)c(32,24,12)s(48,48,20)c(32,40,20)*++s(16,24,12)+
t(24,48,12)s(48,48,20)t(32,32,28)-+s(48,32,12)+s(40,40,28)+
c(24,24,20)s(16,48,12)t(24,32,20)s(40,32,12)-+s(24,40,20)*-
t(32,16,12)s(40,40,20)s(32,40,20)c(40,24,20)*-+c(40,40,20)*
s(32,24,28)t(24,16,12)s(8,32,12)+s(40,48,20)+*c(24,40,12)-
s(32,40,20)c(32,40,20)t(32,48,12)c(40,48,12)+-s(48,24,20)++
s(32,32,20)s(24,32,20)*s(40,24,20)c(40,32,20)+c(24,32,20)**
s(16,48,20)c(40,32,12)+t(48,56,12)s(40,24,12)+-c(16,32,12)-
c(40,32,20)s(16,32,20)s(48,16,20)s(48,24,20)*s(32,24,12)-+*
s(40,24,20)c(40,32,20)c(40,48,12)-*s(24,24,28)*t(32,48,20)+
s(24,40,28)s(40,40,28)*s(48,48,12)s(24,32,20)t(32,32,28)*+*
s(24,40,28)c(24,24,20)s(32,40,28)s(40,48,20)*-s(24,32,20)*-
s(40,32,20)c(24,16,12)-t(24,48,28)s(24,24,28)-t(48,48,12)++
s(24,24,28)t(32,32,28)s(32,40,28)*t(32,48,28)s(24,8,12)+--
s(48,24,20)s(40,32,28)s(24,24,28)*s(40,32,12)-+s(32,40,20)*
t(32,40,28)t(40,32,20)+s(40,40,28)s(32,48,12)s(48,16,20)+**
t(24,48,20)t(40,16,12)+c(24,32,20)s(40,32,20)*+c(40,32,20)*
t(32,40,28)c(16,48,12)+t(40,24,20)t(16,48,12)s(32,32,20)++*
s(32,32,20)s(24,32,28)s(32,24,20)-c(24,32,20)*s(16,24,20)+*
t(40,48,12)c(40,24,20)c(40,40,20)*+s(32,16,20)s(24,24,20)*+
s(32,32,12)c(32,40,20)s(24,48,20)-t(40,40,12)-+c(40,40,20)*
c(24,24,20)t(32,40,20)s(32,32,28)c(32,24,12)-s(48,16,12)-*-
t(32,24,20)t(40,40,20)s(32,32,20)c(32,24,12)-++c(32,40,20)*
s(32,40,20)c(32,40,20)c(40,32,20)c(32,32,20)t(40,48,12)-**-
s(32,40,12)c(48,48,12)s(24,32,12)++c(40,40,20)*t(24,56,12)+
s(48,16,20)s(48,16,20)c(40,16,12)t(40,32,20)s(16,8,12)++*-
s(32,24,28)s(32,24,20)s(16,48,12)t(24,32,20)++s(48,24,12)+-
c(40,32,20)t(48,32,12)-c(24,32,20)+s(40,24,20)-t(24,40,20)*
s(32,32,28)c(32,32,20)s(32,48,20)-s(16,48,20)t(24,40,28)*+-
s(24,40,20)s(40,24,28)s(8,32,12)s(16,16,20)s(16,16,12)-++*
c(40,16,12)s(16,48,20)t(40,56,12)+c(48,40,12)+t(24,32,28)++
c(32,24,20)s(40,32,20)t(24,48,28)-c(24,24,20)s(24,40,20)*+-
s(24,40,20)t(24,32,20)s(40,48,12)+s(48,8,12)+t(32,32,28)*-
c(32,40,20)s(24,32,20)*t(40,32,20)+t(32,24,12)-s(16,32,20)-
t(24,24,20)t(32,32,28)s(32,40,28)+t(32,32,12)t(24,24,20)+**
s(32,40,28)c(16,48,12)-t(24,24,12)-s(16,48,20)s(32,40,28)*-
c(40,32,12)s(32,32,20)s(40,48,20)+s(48,16,20)s(32,16,20)+*+
c(32,24,20)t(32,32,28)s(32,32,12)-*t(32,40,28)t(24,40,20)-+
c(32,24,20)c(40,40,20)s(40,32,20)**s(32,24,20)c(16,24,12)++
c(24,24,12)t(32,40,28)s(16,32,12)+s(48,32,20)s(32,24,12)+*+
c(32,32,12)c(32,16,12)+s(16,16,12)c(40,16,12)+-t(24,48,12)+
t(32,32,20)t(32,24,20)s(40,32,28)s(40,48,20)+t(32,40,12)-*+
s(32,16,20)c(24,48,12)c(40,24,20)+t(24,40,12)-*s(32,32,12)-
s(32,32,28)s(24,32,28)c(24,24,20)*-s(40,32,28)t(16,24,12)+*
s(32,32,28)s(40,24,28)s(24,32,28)c(24,40,20)*s(24,16,20)--+
s(40,24,28)s(24,24,20)s(16,16,20)c(32,32,12)s(40,48,20)++**
s(32,40,28)t(24,48,20)-s(24,40,20)s(32,32,28)+*t(24,40,28)-
s(32,40,28)s(40,40,20)s(24,32,28)*-s(40,24,20)-t(24,40,20)-
t(40,40,20)s(24,24,20)c(24,32,20)s(48,24,20)-+c(40,24,20)+*
t(24,32,28)t(32,40,28)-t(16,40,12)+t(24,24,12)-t(24,24,20)+
t(32,40,20)s(24,32,20)c(48,48,12)+t(32,40,28)*s(32,32,20)**
s(24,40,28)s(40,8,12)c(32,48,12)+-c(24,48,12)t(24,40,20)+*
s(32,48,20)t(32,48,28)s(24,24,28)c(40,40,20)*-*s(24,32,20)-
c(40,24,20)t(40,40,20)-s(32,40,20)s(16,48,12)-+s(32,24,20)*
c(24,32,20)t(40,40,12)-s(40,40,28)s(32,48,20)*+s(40,48,12)-
s(24,40,28)s(32,32,28)t(48,56,12)+*t(40,48,20)t(32,56,12)+-
c(16,32,12)s(24,16,20)c(32,32,12)-+c(32,32,28)c(24,32,20)--
t(24,40,28)s(48,40,20)-t(40,48,12)+c(16,48,12)t(32,32,20)+-
s(16,40,20)t(40,40,20)+c(24,40,20)s(24,32,12)-*s(32,24,28)+
c(40,32,20)s(48,32,20)s(48,24,20)s(40,16,20)*-s(40,48,12)--
s(40,48,20)c(24,40,20)s(40,24,28)s(40,48,20)--t(32,48,28)*-
c(32,32,28)s(24,32,20)s(40,32,28)s(32,40,28)*c(24,40,20)*+-
s(32,24,20)t(24,48,28)t(24,32,28)*-c(48,24,12)-s(32,16,20)*
c(24,40,20)c(32,40,20)s(32,32,20)s(24,32,12)--s(48,40,12)--
s(24,48,20)c(32,32,20)c(40,24,20)*t(24,32,28)t(24,40,20)--+
s(32,16,20)c(40,24,20)s(40,32,28)++s(48,48,12)-t(24,32,28)*
s(24,24,12)c(40,48,12)+t(24,40,28)t(32,32,28)c(16,32,12)--+
s(16,16,20)c(40,24,20)t(32,48,20)t(32,56,12)++-s(8,24,12)-
s(40,40,28)s(40,32,28)s(48,24,20)*s(32,24,28)*-s(48,48,20)*
s(40,48,12)s(16,24,20)s(32,48,20)+c(16,32,12)-c(24,40,20)*+
c(32,32,20)c(32,24,20)*s(32,40,20)t(24,40,20)*c(24,24,12)+*
s(24,24,28)c(40,24,20)s(32,48,12)+*s(48,24,12)-c(40,32,20)+
c(48,40,12)s(40,32,12)+s(32,24,12)-s(16,40,20)t(32,40,28)*+
s(24,32,28)c(16,16,12)-s(48,48,12)+c(16,40,12)-c(24,16,12)-
s(24,24,28)s(16,32,12)-s(40,40,28)s(24,32,20)-t(32,32,20)+-
s(32,16,20)t(24,40,28)c(24,32,20)c(24,16,12)-++s(32,40,28)*
s(32,32,20)c(32,24,20)*s(32,40,28)t(32,32,28)*s(24,32,12)-+
s(32,48,20)s(16,40,12)+s(48,24,12)+s(32,32,28)c(16,24,12)--
t(24,40,28)c(32,16,12)s(40,40,20)s(24,8,12)+c(40,32,20)*+*
c(40,40,20)c(24,40,20)-s(32,48,20)c(32,40,20)*t(24,32,12)+-
s(16,16,20)s(16,48,20)t(32,32,28)-+s(24,48,20)c(40,40,20)*+
t(24,40,20)s(48,32,12)+t(32,32,28)c(16,16,12)c(40,24,12)+-*
s(16,48,20)s(40,32,12)+c(40,24,12)t(32,40,12)+c(32,16,12)--
s(40,32,28)t(16,24,12)+t(24,40,28)s(24,40,20)s(32,32,12)---
c(40,32,20)c(40,24,20)*s(40,16,12)-t(32,48,28)s(32,40,20)*+
c(16,32,12)s(16,16,20)s(24,40,20)-s(48,48,12)++c(32,32,20)*
s(16,48,20)t(16,56,12)t(24,40,12)+-s(32,40,12)+t(40,48,20)-
c(32,32,28)s(32,8,12)t(40,48,20)+*c(32,16,12)-s(24,48,12)-
s(40,24,20)s(16,8,12)t(48,24,12)+s(24,24,28)+t(24,48,28)-*
s(40,32,28)s(32,32,20)t(24,48,12)+*s(24,16,20)+s(24,24,28)*
t(24,48,28)t(24,32,20)-s(24,24,20)s(40,24,28)+c(32,40,20)*+
s(24,24,28)t(32,40,20)-s(40,16,20)c(24,40,20)c(24,24,12)-+-
s(48,16,20)c(40,24,20)*t(24,48,28)s(16,24,20)c(32,32,28)*-+
t(32,32,28)s(24,32,20)*s(32,24,28)s(24,32,20)s(32,40,12)-*+
t(16,48,12)t(32,48,28)s(40,32,28)-+s(32,24,28)+c(32,40,20)*
t(24,32,28)s(32,24,20)t(40,24,20)s(48,48,12)+++s(24,16,20)-
s(48,16,12)s(32,40,28)c(32,24,20)*+s(16,16,20)+c(16,40,12)+
s(40,32,28)c(24,24,20)-s(32,24,20)s(32,24,28)c(16,32,12)-*-
s(32,40,28)t(32,32,28)s(32,24,28)*c(32,32,20)c(24,40,20)**-
t(24,40,28)s(48,48,12)s(24,24,12)+-t(24,24,12)s(32,40,20)+*
s(32,32,20)t(32,56,12)s(32,16,20)t(40,48,20)+s(32,40,20)*++
s(40,16,12)s(40,48,12)+c(40,32,20)t(32,32,28)c(24,40,12)-+*
s(16,40,20)s(24,32,28)t(32,32,28)*c(48,24,12)-s(24,48,12)--
t(24,40,20)t(40,40,20)+t(40,48,20)t(40,32,12)-t(48,16,12)+-
t(32,48,20)c(32,32,12)+s(24,24,28)t(24,32,28)s(24,40,12)-*-
c(24,32,20)c(32,32,20)*c(24,32,20)t(48,40,12)t(32,48,28)+*-
c(40,32,20)s(40,32,28)s(40,24,28)s(48,32,12)-s(24,24,28)***
t(24,32,28)s(40,24,28)s(48,40,20)+*c(24,40,20)s(32,24,20)*+
s(32,24,28)s(32,40,20)c(40,40,20)t(32,32,20)-t(24,48,28)--+
s(48,24,20)c(24,32,20)s(48,40,20)s(24,32,28)t(24,32,12)-+*-
s(40,40,20)c(32,40,20)s(48,40,20)+t(48,40,12)-*c(16,24,12)+
t(16,24,12)s(40,40,28)+c(32,24,12)-c(16,40,12)-s(24,24,28)-
s(40,32,20)s(32,24,28)c(32,32,20)+*t(48,56,12)+c(16,40,12)+
t(24,40,28)s(40,32,28)c(40,40,20)s(32,32,20)--c(16,48,12)++
s(32,16,20)c(24,40,20)c(24,32,20)s(8,32,12)-s(48,32,20)-*+
s(40,40,28)t(32,48,28)-s(40,32,28)s(32,40,28)*+t(32,40,28)*
s(40,48,12)t(40,24,20)+t(24,40,28)+s(24,8,12)c(32,16,12)++
c(24,32,20)s(32,32,28)t(24,48,28)*s(40,40,20)s(16,48,12)++*
s(32,32,28)c(32,48,12)-s(48,16,20)-t(40,24,20)-c(24,40,20)*
s(16,24,20)s(16,40,12)c(24,32,12)+s(48,48,12)+c(24,32,20)+*
c(32,40,20)t(24,48,20)s(48,32,12)s(32,16,12)+s(48,24,20)*+*
c(32,32,28)c(24,32,12)c(48,48,12)t(48,56,12)++c(32,32,12)-*
t(32,48,28)s(32,16,12)+c(16,16,12)+t(40,24,20)-c(32,24,20)-
c(24,40,20)t(24,40,12)-s(16,32,12)-t(40,24,20)+c(40,24,20)*
t(16,32,12)t(24,24,20)+c(40,40,20)+s(24,40,20)t(24,48,28)*+
c(32,40,20)s(48,48,20)c(24,24,12)+s(32,48,20)s(24,24,28)-+*
s(24,32,28)t(24,48,28)+c(32,24,20)*t(24,40,28)s(32,32,28)**
s(16,48,20)s(40,24,20)+t(40,32,12)-s(40,24,28)*c(24,40,20)-
t(24,32,12)s(32,48,20)c(32,32,12)s(16,40,20)s(16,32,20)++*+
c(40,32,20)c(32,16,12)s(32,40,12)+t(32,32,20)c(32,16,12)-++
s(24,32,28)s(24,40,28)*t(16,48,12)-s(48,8,12)t(32,48,28)+*
s(24,24,20)t(32,32,28)s(40,24,20)c(48,40,12)+*+c(24,32,12)-
s(24,32,28)t(40,40,20)-s(48,16,12)c(40,48,12)++s(24,48,20)*
s(32,24,20)c(48,16,12)+c(40,32,20)+s(40,32,20)-s(8,40,12)+
t(24,40,28)t(24,48,28)s(40,40,28)t(48,48,12)-c(32,16,12)+*-
s(40,24,28)s(16,32,20)-c(40,32,20)c(48,24,12)-s(24,48,12)-*
t(16,40,12)s(24,16,20)c(24,24,20)s(40,16,12)-t(16,40,12)-*+
s(48,48,20)s(40,32,28)+s(32,16,20)-t(24,48,28)*s(16,24,20)-
t(24,40,20)c(32,32,28)s(32,32,28)t(32,40,28)*s(48,40,20)+**
c(32,40,20)s(8,32,12)+c(32,24,20)c(48,16,12)-*c(32,48,12)-
t(32,40,28)s(16,40,12)+s(32,40,28)*t(32,48,28)s(16,40,20)--
c(32,24,20)t(24,40,28)s(24,24,28)-+c(32,32,20)*s(16,32,12)-
t(32,32,28)s(16,24,20)s(24,48,20)--t(32,48,20)+t(24,32,28)*
s(8,24,12)t(32,40,28)s(40,24,28)+c(40,40,12)-+s(48,24,20)-
s(24,32,28)s(32,40,20)t(32,48,28)*s(32,16,20)+s(24,48,12)-*
s(32,32,28)s(24,40,28)t(32,40,28)*-s(32,32,28)s(16,24,20)*-
s(40,40,28)c(24,40,20)s(48,40,20)-t(24,40,28)**s(32,16,20)+
s(40,32,20)s(24,48,20)t(32,40,28)*s(40,24,12)+s(32,24,28)**
t(32,32,20)s(24,16,12)-t(16,24,12)c(48,40,12)++t(16,56,12)+
c(40,40,20)s(32,40,20)-t(40,40,20)+t(40,24,20)-s(32,32,28)*
c(40,40,20)s(32,32,20)t(32,48,28)--s(24,40,28)+s(48,48,20)-
t(24,32,28)c(32,40,20)+s(40,32,20)s(24,40,28)*s(8,16,12)+*
s(48,48,12)t(40,32,20)s(24,40,12)++s(48,24,12)t(24,16,12)+-
t(24,48,28)s(32,40,20)*t(24,56,12)-t(40,32,20)+s(16,32,12)+
s(40,24,28)s(24,32,28)-c(40,24,20)*c(32,32,28)c(32,48,12)-*
s(48,32,12)t(32,32,28)t(16,40,12)-c(40,48,12)-+t(40,24,20)*
t(32,32,28)c(32,48,12)t(24,24,12)+t(24,24,20)s(40,32,12)---
s(40,24,12)c(32,40,20)+s(40,24,20)*s(32,24,20)s(32,40,20)-+
s(32,48,20)t(40,48,20)c(32,24,20)+c(40,32,20)c(16,16,12)+*-
t(24,32,28)t(24,40,28)c(24,24,20)+s(16,24,20)*-s(24,16,20)-
c(24,32,20)c(32,24,20)s(40,32,28)c(40,16,12)s(32,32,20)+***
t(24,24,20)s(24,40,20)s(48,32,20)-+t(24,40,28)*s(24,24,20)-
c(32,32,20)c(48,48,12)+t(32,40,28)t(40,56,12)+*c(16,24,12)+
s(40,40,28)t(24,24,20)+c(32,24,20)*s(24,32,28)*c(16,16,12)-
c(32,48,12)t(24,48,28)c(32,24,12)+s(40,40,28)*s(32,24,28)*+
c(32,32,28)s(16,16,12)s(40,32,20)c(32,40,20)*+-t(24,40,28)-
t(40,40,12)s(40,16,20)+c(48,24,12)s(24,24,28)c(24,32,20)*+-
s(48,16,20)s(40,40,28)t(48,32,12)s(48,40,12)+-s(40,40,12)--
c(24,40,20)s(40,32,28)c(24,32,20)*+s(8,40,12)-t(24,32,28)*
s(16,16,12)s(40,40,28)c(24,24,12)-+s(32,32,28)*c(24,48,12)+
t(40,40,20)t(32,40,28)s(40,24,12)-t(16,16,12)c(40,16,12)++*
s(16,24,20)s(48,32,20)t(40,48,12)++s(40,16,20)s(40,16,12)-+
c(24,32,20)s(32,16,20)t(48,40,12)t(16,24,12)++-t(32,32,12)+
s(8,32,12)c(32,32,12)+s(40,32,28)s(40,24,20)s(40,32,12)---
s(24,32,28)s(32,16,20)c(32,24,20)*-s(16,24,20)t(24,32,28)*-
c(32,32,28)s(40,32,28)-s(48,32,20)s(16,32,20)+s(16,24,20)+*
s(40,32,28)c(32,40,20)s(40,32,12)-t(40,32,20)t(48,40,12)--*
t(24,40,20)s(24,40,20)c(24,48,12)s(48,32,20)+*+s(40,32,28)*
t(32,48,20)c(24,32,12)s(32,24,20)+t(24,32,28)*-s(16,24,12)+
s(40,24,28)c(40,32,20)c(32,40,20)t(32,32,20)s(16,32,12)-*--
s(40,40,20)s(8,16,12)s(40,40,28)s(40,32,28)*+c(40,32,12)-*
c(24,40,20)s(40,32,20)*c(32,32,12)+s(48,40,20)t(32,48,28)+*
c(24,40,20)t(32,48,12)-s(40,16,12)+s(48,16,20)-s(16,8,12)+
c(16,40,12)t(40,32,20)t(16,32,12)++c(24,32,20)s(32,32,12)-*
s(40,32,28)t(16,48,12)c(32,24,20)s(40,24,28)*+*s(16,40,20)+
t(24,32,20)s(48,48,12)c(40,48,12)t(32,24,12)++-s(16,16,12)+
c(24,40,20)t(24,24,12)-c(24,40,20)t(16,32,12)-*s(40,48,20)*
c(24,40,20)t(24,56,12)-s(16,40,20)+c(24,32,20)*c(40,24,12)-
s(16,8,12)s(40,32,28)t(32,24,20)s(32,32,20)*s(48,32,20)+-+
s(32,24,28)c(24,40,20)+s(24,48,20)c(24,40,20)+-c(24,16,12)+
s(48,8,12)s(24,24,20)c(24,32,20)*s(48,40,20)+s(24,16,20)*+
c(24,40,20)t(24,56,12)-s(40,48,12)+s(24,32,20)s(24,24,20)*-
s(24,40,28)c(16,40,12)-s(32,48,20)s(24,40,28)*s(24,32,12)++
s(24,40,20)t(32,48,28)+s(48,48,20)*s(16,8,12)t(48,40,12)+-
t(24,32,28)t(32,32,28)s(16,16,20)s(32,8,12)-s(24,16,20)*-*
t(32,24,20)s(8,48,12)+s(32,16,12)s(40,8,12)+c(32,32,20)++
s(40,48,20)s(40,32,20)+c(40,16,12)-t(32,56,12)-s(32,32,20)*
c(24,24,20)s(16,24,20)t(24,32,28)*-s(48,48,12)t(16,56,12)++
t(32,16,12)s(32,24,28)s(48,40,12)s(24,40,28)+*+s(24,32,28)*
s(24,24,28)s(32,32,28)*c(48,48,12)t(32,16,12)+-t(32,24,12)-
c(24,24,20)s(48,24,20)c(32,32,28)s(40,16,20)**+s(16,40,20)+
s(40,40,28)c(40,24,20)*s(48,48,12)+t(40,16,12)+c(40,32,20)*
s(32,40,20)c(32,40,20)s(24,48,12)-t(40,32,20)*+s(32,24,12)-
t(24,40,20)s(16,16,20)-s(24,32,28)s(32,40,20)*s(40,32,20)*+
s(16,24,20)c(32,24,20)c(32,32,20)c(48,16,12)-++s(32,32,28)-
s(24,16,20)t(48,32,12)+s(32,40,20)-t(40,40,12)+s(24,24,28)*
s(40,24,20)s(48,16,20)t(32,16,12)+s(32,24,20)s(32,40,28)+*-
t(16,16,12)t(40,24,20)+c(40,32,20)c(40,24,20)*c(24,24,12)+*
s(40,24,28)s(24,40,12)-s(24,24,28)s(8,40,12)s(40,32,12)++-
c(40,32,12)c(16,16,12)+s(24,40,28)c(32,24,20)*s(24,48,20)+-
c(32,40,20)s(32,40,20)c(32,48,12)-c(24,32,12)s(32,8,12)++*
c(40,40,20)c(32,40,20)*s(24,32,28)*c(32,40,20)s(32,24,28)**
c(32,40,20)t(24,48,20)t(32,48,28)*-t(40,24,12)-t(48,24,12)+
s(40,32,28)c(48,32,12)-s(24,40,20)+s(40,24,12)-s(32,32,28)*
c(16,32,12)t(32,40,28)c(40,32,20)*+c(16,24,12)-t(24,24,20)+
t(32,40,20)s(32,24,28)s(24,40,28)s(24,16,20)+s(16,24,20)**+
s(32,24,28)s(40,32,28)s(24,40,20)*s(24,16,20)c(24,32,12)-++
s(24,24,28)c(32,32,28)c(16,40,12)-*s(24,24,20)+t(24,32,20)*
c(40,32,20)s(24,48,20)s(24,32,20)*t(24,32,20)+c(32,40,12)+*
c(16,40,12)s(32,16,20)+s(48,40,20)+t(40,40,20)*s(24,16,20)+
c(40,32,20)c(40,16,12)c(40,40,12)c(32,24,12)++*s(40,40,28)*
c(32,32,20)t(32,48,20)t(24,40,28)*s(48,8,12)+-t(24,32,12)-
c(24,40,12)t(32,32,20)c(24,24,20)*+t(24,24,20)c(32,32,20)*-
c(24,40,20)s(40,48,20)s(24,40,28)+t(32,48,12)-c(16,32,12)-*
s(24,40,28)s(8,40,12)-c(32,40,20)s(32,32,20)*s(40,8,12)+*
s(16,40,20)s(40,40,20)t(40,48,12)-+c(24,40,20)t(32,40,28)+*
c(40,32,20)t(24,48,20)-t(48,56,12)+s(48,8,12)c(24,40,20)+-
s(48,40,20)c(32,40,20)+c(24,40,20)*s(48,48,12)+c(24,40,12)-
c(24,40,20)s(40,32,12)+s(32,32,28)t(32,48,28)s(32,32,20)*--
t(24,56,12)t(24,24,12)s(48,48,12)+t(24,24,20)c(32,40,12)+++
s(32,40,28)c(32,24,20)s(32,40,20)t(24,32,28)*+*s(40,32,20)*
s(32,32,20)s(48,8,12)c(16,32,12)c(40,16,12)++-s(16,16,20)+
c(24,32,20)t(24,32,20)s(24,40,28)s(24,32,28)s(40,24,28)**+-
s(24,32,28)s(32,32,28)*t(24,48,28)c(40,48,12)+-c(24,32,20)*
s(48,48,12)c(16,48,12)+c(40,24,20)+c(48,48,12)-s(24,32,20)+
s(8,8,12)c(16,24,12)+c(24,24,12)+s(32,32,28)c(40,48,12)-*
t(32,56,12)c(40,24,20)+s(32,32,20)t(48,32,12)s(24,48,20)++*
t(24,48,20)s(24,24,20)t(32,40,28)-c(40,32,20)s(24,48,20)-++
c(40,32,12)c(32,32,28)s(24,32,12)-s(24,48,20)s(32,40,28)**+
c(48,40,12)s(32,16,20)c(16,48,12)c(48,16,12)+-+s(24,48,20)+
s(40,32,28)t(32,48,28)s(32,40,20)*-s(48,16,20)-s(24,8,12)-
s(32,48,12)c(48,24,12)+s(40,32,20)t(32,40,20)--c(48,48,12)+
c(40,40,20)c(24,40,12)t(32,32,12)t(48,40,12)++-t(32,32,12)+
s(24,48,20)t(40,48,12)s(32,24,28)+t(32,32,28)-+s(16,16,20)-
t(24,16,12)t(32,40,20)t(40,32,20)s(40,40,20)*++s(32,48,20)*
c(40,32,20)s(40,40,28)s(40,32,28)*t(40,40,20)--s(32,48,12)-
s(48,24,20)t(40,40,12)+s(40,32,28)+s(48,40,20)-s(40,40,28)-
s(32,40,20)s(40,32,20)+c(24,40,20)t(24,32,28)c(32,16,12)-**
s(40,40,20)s(16,40,20)c(24,32,20)t(40,32,12)-*+s(48,48,12)-
c(32,24,20)s(16,48,20)c(48,40,12)++c(32,24,20)-s(8,48,12)-
s(40,32,20)s(32,32,20)c(40,40,20)c(24,48,12)---t(40,48,20)-
c(24,48,12)t(32,24,20)c(48,32,12)-+t(24,40,28)*s(24,32,20)*
t(40,40,20)s(24,48,20)s(32,32,12)+s(32,16,12)s(16,40,20)+*+
s(32,48,20)c(32,32,28)s(24,32,28)s(40,40,20)s(40,24,12)+*-*
t(24,40,20)s(32,40,20)s(32,24,20)*+s(40,32,28)t(24,40,28)--
s(24,40,20)s(32,48,12)s(24,40,28)t(40,32,20)-s(40,40,28)*+*
s(48,24,20)s(40,40,28)c(32,24,20)c(24,40,20)s(32,24,20)*-+*
s(16,24,20)t(32,40,20)c(24,32,12)+s(24,40,28)s(24,40,20)-+*
s(40,24,20)s(16,16,20)+s(16,32,20)s(32,48,20)-s(32,40,20)-+
s(48,16,20)s(48,24,20)s(32,48,20)+t(32,40,28)*s(40,48,12)--
s(24,16,20)c(24,32,12)+s(40,16,20)*s(8,48,12)+s(40,40,28)-
c(48,32,12)c(24,24,12)+c(16,24,12)s(16,24,12)s(48,40,12)++*
s(40,8,12)s(48,40,20)s(32,24,20)-+s(40,24,12)t(24,40,28)+-
t(40,24,12)s(24,40,20)s(24,24,12)s(40,48,12)+-+s(40,16,12)-
s(24,40,28)c(16,16,12)s(40,24,20)+c(24,48,12)+c(24,24,20)*-
s(24,16,20)s(8,16,12)-c(32,24,12)-s(32,24,12)+c(24,16,12)+
t(24,40,28)c(24,32,20)s(40,24,28)*+s(40,24,12)s(40,48,12)+*
c(24,32,12)s(32,32,20)c(16,24,12)-s(32,24,28)*+t(24,48,28)+
c(16,16,12)t(32,40,28)s(32,48,20)s(24,40,12)-s(24,40,12)+*+
t(32,40,20)c(24,16,12)+s(8,16,12)+c(48,48,12)t(24,40,20)+*
c(16,40,12)s(40,24,28)s(40,40,28)s(32,40,28)*s(8,8,12)+*+
s(32,32,20)t(40,48,20)c(32,40,20)*t(32,32,28)c(40,48,12)-+*
s(16,48,20)s(40,24,12)+c(40,40,20)s(32,32,28)c(40,24,12)-+*
c(24,40,20)s(24,16,12)c(24,32,20)s(24,24,12)-+t(16,16,12)-+
c(24,32,20)s(40,24,20)c(32,32,12)s(32,24,12)+-+s(40,16,20)*
s(8,48,12)s(24,48,12)s(24,24,28)s(24,8,12)-s(24,40,28)*++
s(24,24,28)c(48,24,12)+t(48,40,12)s(48,16,12)t(32,24,20)++-
s(24,40,20)s(32,24,20)t(32,16,12)-+t(24,56,12)+c(40,32,12)-
s(32,32,20)t(16,56,12)t(24,48,20)+s(32,24,20)+s(24,40,20)**
s(32,16,20)c(24,40,20)s(40,40,20)+s(48,32,20)+t(40,32,12)-+
t(40,40,20)s(16,48,20)+c(24,32,20)s(32,32,28)**s(32,48,20)*
c(32,32,28)s(24,32,28)c(48,24,12)+s(40,40,20)*c(32,24,20)+-
s(48,16,20)s(24,8,12)c(32,24,20)s(16,32,20)-+c(16,48,12)+-
s(16,16,20)c(32,32,28)s(16,8,12)t(24,32,20)+-c(32,40,20)--
s(40,48,20)t(24,40,12)+s(24,24,28)+s(32,24,20)t(48,40,12)+-
s(48,8,12)s(40,32,28)c(40,24,20)*+t(32,24,20)t(24,32,12)+*
c(40,32,20)s(48,32,20)c(24,32,20)c(40,24,20)+*t(40,48,12)+-
t(32,40,28)c(32,32,20)s(24,48,12)-t(32,40,28)*t(32,32,20)*-
s(24,40,28)s(40,40,28)t(16,24,12)+s(48,32,20)-s(16,32,12)-*
s(48,40,20)c(32,32,28)s(48,32,20)s(24,32,20)-*-t(16,32,12)+
c(40,24,20)t(16,32,12)s(24,48,20)++s(16,40,20)+c(24,24,20)*
t(40,24,20)s(40,48,20)s(32,40,28)+t(40,32,20)-s(32,40,20)*+
t(24,32,28)t(32,32,28)*t(24,40,28)s(24,32,28)**t(32,24,12)+
s(32,32,28)s(40,48,20)s(32,40,20)-s(16,24,20)+-s(40,40,28)*
c(24,32,12)s(40,48,12)+t(40,16,12)s(24,32,20)+s(24,48,20)*-
s(48,32,20)t(40,32,20)*s(32,32,28)s(40,40,20)*+t(40,32,12)-
s(40,24,20)s(32,40,20)t(24,40,28)*+s(48,8,12)t(32,48,28)+*
c(40,32,20)t(40,32,12)s(16,40,20)+s(32,40,28)*t(32,48,28)+*
c(24,40,20)s(32,24,20)s(48,48,20)t(24,16,12)+t(32,40,28)-++
s(32,16,20)t(24,40,28)-t(40,32,12)-s(40,24,20)s(32,40,28)*+
t(40,56,12)c(40,16,12)+t(16,16,12)s(16,32,20)++s(32,32,20)*
s(48,48,20)t(40,48,12)t(16,40,12)+-t(24,48,12)s(40,40,20)+-
c(40,40,20)s(24,40,28)c(16,48,12)-+t(40,24,20)t(24,32,28)+-
s(16,24,20)c(24,32,20)s(16,48,20)s(32,32,28)+s(32,24,28)*+*
s(32,40,28)s(32,48,20)c(32,32,20)*-s(32,32,20)s(16,48,12)+-
s(32,24,20)t(24,16,12)t(40,40,12)++c(16,16,12)c(40,40,12)+-
c(16,32,12)c(40,32,20)s(40,48,12)-t(32,40,28)t(24,48,20)*-+
s(48,24,20)s(24,32,20)+s(16,40,12)-s(24,32,20)+s(40,32,12)-
s(40,32,20)c(40,16,12)+s(32,16,20)-c(40,40,12)+t(40,40,20)*
s(24,40,20)s(8,32,12)-t(40,32,20)+c(24,48,12)c(48,24,12)+*
s(24,32,28)c(32,32,28)s(32,40,20)t(24,24,20)+-s(32,32,20)+*
c(32,24,12)s(24,16,12)s(24,32,20)s(24,16,20)s(48,32,20)+*++
c(32,32,20)t(24,32,28)s(48,32,12)s(40,32,12)s(48,24,12)++++
s(24,40,20)t(48,56,12)t(40,32,20)c(40,24,20)s(48,32,20)**+-
s(16,24,12)s(40,48,20)t(40,16,12)+s(32,24,28)-+t(32,48,20)-
s(40,32,28)t(24,32,20)s(24,40,12)+-t(32,48,28)s(48,16,12)+*
c(40,24,20)s(40,48,20)-s(32,16,12)-t(32,32,20)t(32,16,12)-+
s(32,32,28)s(24,40,20)-t(24,32,28)t(32,48,20)-s(24,40,12)--
s(24,40,28)s(32,32,28)t(32,48,28)c(32,24,20)++s(48,16,20)-*
c(40,32,20)s(48,16,20)*t(32,48,12)+c(32,40,12)t(32,24,12)++
s(40,40,20)t(24,48,28)-t(24,48,20)s(24,24,12)++s(32,40,28)*
s(24,32,28)t(40,32,20)t(32,24,20)+-c(32,40,20)+t(24,40,12)-
c(16,32,12)t(40,56,12)+s(24,40,28)s(40,40,28)*c(24,48,12)--
s(40,40,20)s(48,48,12)-s(32,40,20)s(32,32,28)t(48,24,12)-**
c(32,48,12)s(16,8,12)s(40,32,20)t(24,24,20)+t(32,24,20)-++
c(32,32,20)s(48,40,20)-s(40,32,28)s(16,16,20)-t(40,24,20)*+
s(24,24,28)s(40,8,12)s(32,32,20)c(32,40,20)*+*s(32,40,20)*
s(40,24,20)c(32,32,28)t(24,32,20)-t(24,40,12)t(16,48,12)++*
s(24,16,20)t(48,40,12)s(40,16,20)+s(32,40,28)--c(32,40,20)-
c(32,24,20)s(24,24,28)s(24,16,12)--t(40,48,20)t(32,32,20)-+
c(40,24,20)s(24,24,20)*t(24,32,28)s(32,40,20)-+t(32,32,28)*
s(16,40,20)t(24,40,28)c(24,48,12)-c(32,32,20)t(16,40,12)-+*
s(24,32,20)s(40,24,20)+s(24,32,28)c(24,40,20)*-s(40,48,12)+
t(24,40,28)s(40,24,28)t(32,32,28)s(16,32,12)-*s(16,24,20)+*
s(24,40,28)s(8,48,12)s(40,48,12)+c(24,24,20)s(32,40,12)++*
s(40,24,20)t(16,40,12)+c(40,24,20)s(40,40,28)**t(40,40,12)-
t(32,48,28)s(32,8,12)+c(16,48,12)t(32,24,20)+*s(40,24,20)+
s(40,32,20)s(32,24,20)+s(48,8,12)s(40,40,12)++t(24,16,12)-
t(48,56,12)c(40,24,12)+t(16,24,12)t(32,24,20)s(48,40,20)-+-
c(48,40,12)s(40,16,12)t(24,32,20)+t(32,32,12)-s(16,16,20)++
c(40,16,12)c(16,24,12)+s(24,32,28)*s(40,24,12)t(32,32,12)+-
s(24,48,12)c(32,16,12)+c(40,40,20)s(32,32,20)*c(16,40,12)-+
s(24,16,20)c(32,24,20)t(24,48,28)-+c(32,40,12)+c(24,24,20)-
s(32,40,20)s(32,32,20)c(24,24,20)*t(24,48,12)+c(40,16,12)-*
t(24,48,28)s(40,40,28)t(48,24,12)s(32,24,12)+s(24,40,28)+**
t(32,32,28)t(40,24,20)s(48,48,20)+c(32,16,12)-s(40,48,20)--
c(48,48,12)s(40,32,12)s(48,16,20)c(40,32,20)*c(16,16,12)+++
s(32,32,28)s(48,32,20)c(32,32,28)c(24,16,12)-s(32,40,20)-*-
s(24,24,20)c(24,24,20)s(32,16,12)-*t(32,40,12)t(24,40,12)+-
s(40,40,28)s(24,32,28)+t(24,48,20)t(48,32,12)+*s(24,40,20)+
s(16,48,12)t(16,16,12)+s(24,16,12)c(16,48,12)+s(8,8,12)+*
c(16,24,12)t(32,32,28)s(40,24,28)s(24,32,28)**+c(32,32,20)*
s(40,40,28)t(32,32,28)*c(40,24,20)c(32,32,20)**s(40,8,12)+
c(40,32,20)s(48,48,20)c(24,40,12)+*s(32,32,28)s(48,32,12)-*
c(32,24,20)s(32,40,28)+t(24,40,20)-t(16,24,12)s(48,16,20)+*
s(24,24,20)s(48,32,20)-s(24,40,20)s(32,48,20)s(16,40,12)+*-
s(16,48,20)s(40,48,20)c(32,40,20)s(40,8,12)+s(16,40,20)-+-
s(24,40,20)c(24,48,12)s(24,24,28)s(40,8,12)s(32,24,20)+*+*
t(32,32,28)s(16,40,12)-s(24,32,12)-s(40,16,20)+s(32,24,20)*
c(40,40,20)t(40,24,20)s(32,40,20)t(32,48,28)*+s(16,48,20)+*
s(32,32,28)s(16,24,20)s(32,8,12)s(24,48,20)+-+s(48,40,20)-
c(24,24,20)c(24,24,12)s(16,48,12)+-c(16,40,12)-s(24,24,12)+
t(32,48,28)c(32,32,28)s(24,32,28)c(32,32,20)--*s(40,48,12)-
s(16,40,20)t(24,48,28)*s(48,40,12)s(40,40,20)c(32,48,12)-+-
t(24,32,28)s(16,48,20)c(40,32,20)t(32,48,28)*+s(32,16,20)+*
c(32,24,12)t(24,40,28)s(32,48,12)-+c(32,24,20)*s(40,24,20)*
t(24,40,28)s(24,32,28)c(32,40,12)-c(32,32,20)*-s(40,40,28)*
t(24,40,28)s(16,48,20)*c(16,16,12)+s(32,32,28)s(24,16,12)-*
s(24,24,28)t(24,40,20)-t(32,40,20)-c(32,32,28)s(24,32,12)-*
s(40,40,28)c(24,24,20)s(40,32,28)**s(40,32,28)c(40,24,20)**
s(16,24,20)c(16,24,12)t(40,48,20)+t(32,40,28)--s(8,40,12)-
c(24,24,20)s(24,32,20)s(24,40,20)*s(24,48,12)c(24,24,20)+**
t(32,40,28)c(48,48,12)t(40,16,12)+c(40,24,20)s(32,32,20)*+*
s(24,32,28)s(32,48,12)s(24,32,12)+-s(32,24,20)t(40,56,12)+*
s(40,32,28)c(32,24,20)*s(40,32,20)*t(48,24,12)s(32,16,20)++
c(24,24,20)c(32,32,12)-s(24,24,12)+s(32,32,20)-c(32,40,20)+
s(40,40,20)s(40,24,12)+s(32,24,28)t(48,56,12)+t(24,40,28)*-
s(24,48,20)s(40,48,20)c(24,48,12)+s(16,40,12)-*t(32,24,20)+
c(24,32,20)s(48,48,12)+t(24,40,28)*s(48,32,20)+s(24,24,20)+
t(32,48,28)s(40,16,20)+t(32,32,28)s(48,32,20)s(32,8,12)++*
s(40,48,20)s(32,24,20)+t(32,32,28)s(40,48,12)-*t(24,56,12)+
t(40,48,20)s(40,16,20)+c(32,24,12)s(40,40,12)+*s(48,24,12)-
c(32,40,20)t(24,32,28)*s(40,24,28)*t(32,48,20)+t(24,48,20)+
s(48,40,12)c(32,24,20)s(24,40,12)+s(24,32,28)*s(16,24,12)++
s(32,24,28)s(32,40,28)t(48,56,12)s(48,24,12)+-t(24,24,12)-*
s(48,16,20)s(16,32,20)c(24,24,20)+t(32,24,12)-t(32,40,20)+-
s(24,40,20)t(40,40,12)+t(16,40,12)-t(40,24,12)+s(32,32,20)*
s(8,32,12)c(48,32,12)+s(16,24,20)c(32,40,20)t(40,32,20)---
t(32,40,28)s(16,48,20)c(32,24,20)c(32,16,12)-+*s(16,40,20)*
s(24,40,28)s(24,40,12)s(48,40,20)+*t(32,48,28)c(32,32,12)+*
s(40,24,28)c(48,16,12)s(16,48,20)c(40,32,20)+s(24,48,20)*+*
s(24,40,12)s(24,16,20)+t(32,56,12)+s(24,24,20)*t(24,48,28)-
s(48,32,12)t(40,48,12)s(32,32,20)c(24,32,12)-+c(40,40,20)*+
s(16,16,20)s(40,32,20)+s(48,16,12)s(32,40,20)s(32,32,20)++*
t(40,32,20)c(24,48,12)s(32,32,12)t(16,32,12)++s(48,32,20)--
s(24,32,20)s(24,40,28)s(40,32,20)*s(24,24,28)*-s(48,16,20)+
s(40,32,28)s(40,40,20)-c(32,24,12)-s(32,40,28)c(16,16,12)++
t(24,24,20)s(48,32,20)+s(32,24,28)c(40,24,20)s(40,24,12)-**
s(24,40,20)t(16,56,12)+s(32,40,28)t(24,24,20)-t(40,40,12)-+
s(24,24,20)s(40,24,12)+c(32,32,20)c(32,16,12)t(32,24,20)+--
c(48,16,12)s(24,40,20)+s(24,40,28)*s(32,40,20)s(40,24,12)-*
s(40,48,12)t(24,32,28)c(16,48,12)-+s(24,24,20)c(32,40,12)++
s(32,40,20)t(24,56,12)+s(32,48,20)*t(16,40,12)-t(24,48,28)*
t(32,40,20)t(24,24,20)+c(16,24,12)t(24,48,12)+-c(24,48,12)-
c(32,16,12)s(32,40,28)s(40,40,20)t(32,32,12)-*+s(40,40,20)*
t(24,56,12)c(16,40,12)+s(32,24,28)+s(40,24,20)c(24,24,20)+-
s(32,40,28)s(32,40,12)s(16,48,20)c(24,32,12)-+*s(32,24,12)+
c(32,24,20)s(16,16,12)+t(40,32,12)c(24,32,12)+-t(24,16,12)-
s(24,24,20)c(40,16,12)-t(32,40,20)s(32,32,20)*+t(32,40,20)+
s(24,24,28)s(40,8,12)-s(24,32,20)t(40,48,12)+*t(16,32,12)-
s(16,32,20)s(16,48,12)+s(40,48,12)+t(24,16,12)s(8,32,12)+-
c(32,40,20)t(24,48,28)s(24,40,20)s(32,40,12)-t(32,32,12)+*-
t(24,40,28)s(24,24,12)-s(32,24,28)t(32,40,20)+*s(32,40,20)*
s(32,32,28)s(48,24,12)s(24,32,28)s(16,32,20)-+s(40,32,28)**
c(32,32,20)s(40,32,28)s(32,40,28)c(40,32,20)+**t(40,40,20)*
c(24,32,20)s(32,48,20)t(32,40,20)s(40,24,12)++*t(24,32,28)*
t(32,24,12)c(40,24,12)+s(48,24,20)c(32,24,20)c(40,32,20)*-+
s(48,24,20)c(32,40,20)c(40,40,20)*+s(40,24,20)-s(16,24,20)+
s(16,40,20)s(32,32,20)+c(32,24,20)s(16,32,20)s(32,32,12)+--
s(16,16,20)s(40,8,12)s(32,32,28)++c(32,40,20)t(40,40,12)-*
s(48,24,20)c(24,32,20)c(40,32,20)*+s(24,40,20)-s(48,8,12)-
c(24,40,20)t(32,40,28)s(32,32,20)t(32,40,20)+**s(16,16,20)-
c(40,40,20)c(24,32,20)s(24,40,28)*-t(40,48,12)-t(32,56,12)+
s(48,24,20)s(40,40,28)c(16,16,12)s(48,48,20)c(40,32,20)++**
c(32,32,20)t(32,40,28)*t(32,32,28)c(24,48,12)c(16,16,12)+-+
s(24,16,20)t(24,48,28)s(32,8,12)+s(16,48,20)*s(32,48,20)*+
c(32,32,28)s(16,40,20)-s(48,16,12)s(16,16,12)+s(40,24,28)*-
s(40,40,20)s(24,40,20)c(40,40,12)-+t(16,16,12)+c(16,16,12)-
t(32,32,28)c(16,16,12)+c(24,48,12)-c(40,16,12)+c(24,32,12)-
s(48,16,12)t(24,40,28)+c(40,32,20)-c(32,24,20)t(16,32,12)--
t(32,48,28)s(24,40,28)*t(24,48,20)t(24,32,20)-c(40,48,12)+*
t(40,40,12)t(24,24,20)+t(32,40,12)-s(48,32,20)c(40,16,12)--
s(16,48,20)s(40,24,28)s(16,32,20)t(40,48,20)t(32,24,20)++*-
c(32,32,28)c(48,40,12)-s(40,40,20)t(24,40,20)s(40,48,12)+*-
c(24,40,20)t(32,32,28)t(40,40,20)s(48,40,12)+-+s(24,16,12)-
c(48,48,12)s(32,16,20)+s(32,32,28)t(32,24,20)t(40,16,12)+**
c(32,40,20)s(48,40,20)c(32,40,20)+t(24,40,20)-t(16,24,12)+*
s(32,40,28)c(48,32,12)-c(24,32,20)t(24,48,12)-*c(24,48,12)-
s(32,24,20)c(16,40,12)t(48,40,12)+c(32,40,20)*s(24,48,20)++
s(48,24,20)s(24,48,12)t(32,48,28)s(24,48,12)-++s(24,40,28)-
c(32,32,12)c(40,16,12)+t(32,32,28)c(48,24,12)-+t(40,48,12)+
c(40,40,20)s(16,48,20)-t(48,32,12)t(32,48,28)s(32,40,20)-+-
s(48,24,12)t(48,48,12)+s(16,48,20)t(24,32,28)-s(40,8,12)++
t(40,56,12)s(48,40,20)+c(40,40,20)*s(40,48,20)s(48,48,20)**
t(40,48,20)s(40,24,20)s(24,32,28)s(32,24,20)**s(48,24,12)-+
s(40,24,28)s(24,40,20)c(40,48,12)s(32,40,28)s(32,48,20)-+*-
s(24,24,28)s(40,32,12)s(24,24,20)+s(40,24,28)+c(24,40,20)-*
s(32,48,20)s(40,40,20)s(24,24,28)-c(32,40,12)+*t(48,16,12)+
s(32,24,28)s(8,32,12)s(40,24,12)+s(32,32,28)+*s(48,32,20)*
c(24,32,20)c(24,16,12)-s(24,16,20)s(32,32,28)t(48,32,12)-*+
s(8,16,12)t(32,48,28)t(40,40,20)-t(48,56,12)t(16,48,12)+-+
s(32,48,20)s(24,24,28)s(40,24,20)*+s(16,32,20)-t(32,32,12)-
c(32,32,20)s(40,16,12)-t(32,48,12)-t(16,32,12)-s(48,32,20)+
t(32,48,28)c(24,32,12)t(24,48,20)s(8,40,12)++*c(40,48,12)-
c(40,24,20)c(24,32,12)-c(24,40,12)t(48,40,12)++s(24,32,28)*
c(32,32,20)s(32,24,28)t(24,48,20)s(16,16,12)+s(8,24,12)+-*
s(32,32,28)s(48,48,20)t(48,56,12)s(24,48,20)c(40,24,20)++*-
c(16,24,12)c(40,40,12)+c(48,16,12)+t(24,48,28)s(24,40,20)-+
s(40,24,28)t(40,16,12)-t(24,48,28)-t(48,56,12)c(32,32,20)+*
c(24,40,20)t(16,48,12)-s(8,16,12)+c(32,32,28)s(24,24,20)-+
s(16,32,20)t(32,40,28)t(32,32,28)+t(16,56,12)t(40,32,20)++*
t(24,48,12)c(32,24,12)+c(32,32,20)s(16,48,20)s(48,48,20)+-*
t(40,48,20)s(48,32,12)-c(24,32,20)+c(40,40,20)s(40,32,28)**
s(32,40,28)c(32,48,12)-t(32,40,12)c(40,32,20)s(48,32,20)*+*
t(24,48,20)s(24,32,20)t(24,48,28)-c(40,24,20)s(32,32,20)*++
s(48,48,20)s(48,24,20)s(48,48,20)s(32,40,28)+s(24,24,20)*+-
s(40,40,28)c(16,24,12)+c(32,40,12)t(24,40,20)+-c(40,24,12)-
s(32,24,28)s(48,32,20)-t(24,32,20)s(24,8,12)+s(32,16,20)+*
c(40,24,20)s(16,32,20)-s(24,32,28)-t(24,16,12)+s(40,40,28)+
s(40,32,20)s(32,48,20)+c(32,40,20)c(24,24,20)*s(24,8,12)+*
s(48,48,20)s(24,16,20)s(48,32,12)t(40,48,12)++s(40,24,28)*+
s(40,16,20)s(32,40,20)c(32,32,20)*s(32,16,20)+*s(40,40,28)-
s(16,32,20)c(32,32,20)t(24,24,20)s(40,24,28)+*-t(24,24,12)+
s(40,48,20)c(32,24,20)+s(40,24,20)t(40,24,20)s(16,48,20)++*
s(32,48,12)s(16,48,12)+s(48,32,20)-t(40,16,12)s(16,40,20)++
c(32,32,20)s(32,48,20)s(24,32,28)s(32,24,20)t(24,32,12)--*-
s(32,24,20)c(32,40,20)*s(24,40,20)s(16,48,20)*+t(32,32,28)*
s(32,40,28)c(40,16,12)t(16,32,12)t(24,48,20)++*t(16,48,12)-
s(24,24,20)c(48,40,12)+s(48,48,12)s(32,16,20)+*t(24,32,12)+
t(24,32,12)s(48,16,20)c(32,40,12)s(32,8,12)+c(24,40,12)--+
s(24,32,28)c(32,32,20)*s(32,32,20)t(16,48,12)c(40,48,12)++*
t(24,24,12)t(40,48,20)t(40,40,20)t(32,40,28)*++t(24,48,28)*
s(32,40,20)s(32,40,20)t(32,48,28)c(48,16,12)++s(48,40,20)**
s(32,40,28)c(48,32,12)-t(32,32,12)-c(32,40,20)*t(24,40,20)*
s(40,32,20)c(16,32,12)+c(40,32,20)*c(48,24,12)-s(32,32,20)*
c(32,40,20)t(24,48,28)s(32,24,28)-s(24,24,20)c(32,24,12)-+-
c(24,24,20)s(40,16,20)s(32,24,28)s(24,40,28)-+*c(32,24,20)*
s(40,32,12)c(24,40,20)s(8,32,12)-+s(32,40,28)s(40,32,28)**
c(40,24,12)c(24,48,12)+s(40,32,28)*s(24,32,28)s(40,32,28)-+
t(32,48,28)t(40,16,12)s(40,40,20)++s(40,24,20)*s(40,40,20)*
s(24,48,20)s(24,32,20)c(32,40,12)s(8,16,12)+-+c(32,40,20)-
c(40,24,20)t(24,48,28)c(32,16,12)++s(40,40,12)-t(32,40,28)*
c(16,48,12)s(40,32,28)+c(24,24,20)c(24,40,12)-s(40,40,28)+-
c(40,32,20)t(24,32,12)-c(48,40,12)-s(40,40,28)c(48,40,12)-*
c(32,24,20)s(24,32,12)-t(32,32,12)c(40,16,12)++s(32,24,12)-
s(24,48,20)c(24,32,12)t(32,48,28)+c(32,24,20)s(24,40,28)*-+
s(32,40,28)c(24,32,20)-c(48,32,12)+t(32,56,12)c(48,16,12)+-
s(32,32,28)s(24,40,28)*t(32,40,28)t(32,32,28)**c(40,40,20)*
s(32,40,28)s(24,32,20)s(16,32,20)*s(24,16,12)s(48,48,12)++*
s(32,24,28)t(32,16,12)-t(48,24,12)-c(40,16,12)t(32,32,12)+-
t(24,48,28)c(40,32,20)s(40,40,28)*-t(24,16,12)+t(24,24,20)+
c(40,32,12)c(40,48,12)+s(40,40,28)c(24,32,20)-c(40,40,20)**
t(24,16,12)t(32,32,28)s(16,48,12)++s(32,40,28)*t(40,24,12)-
c(24,40,20)s(24,24,12)-s(32,24,28)*c(24,32,12)+c(40,24,12)-
t(40,32,20)t(48,32,12)-s(48,48,12)+s(24,48,20)s(24,40,20)+-
s(48,32,20)c(40,40,20)+s(32,24,28)s(24,24,28)t(32,40,20)-*-
c(40,32,20)t(24,48,28)-c(16,40,12)s(24,16,12)++s(32,24,12)-
c(32,32,20)s(40,32,20)*s(24,40,20)s(40,40,20)*+s(16,32,20)-
c(32,48,12)t(32,16,12)s(8,16,12)++s(40,24,20)+s(32,40,28)+
s(32,24,28)t(24,40,20)-t(40,24,20)c(32,32,20)s(24,32,12)-++
s(48,24,20)c(40,24,20)s(40,40,12)t(24,32,28)t(24,40,28)*+*-
s(32,24,12)c(40,24,12)+t(24,32,28)t(24,48,28)*-s(24,8,12)+
t(48,48,12)c(24,24,12)+s(32,40,28)+s(16,24,20)-c(40,32,20)*
c(32,24,20)c(16,32,12)+s(32,16,20)s(40,32,20)+c(40,32,20)*-
t(40,40,20)s(48,48,20)s(24,40,20)t(16,56,12)+-s(48,32,20)-+
s(48,48,20)s(32,16,20)+s(40,24,28)s(24,24,28)*s(24,24,20)**
c(32,32,28)t(32,32,20)-s(40,32,28)*s(40,16,20)-t(48,56,12)+
t(32,56,12)s(32,40,20)s(24,16,12)++c(16,24,12)t(32,48,28)+*
c(24,40,20)s(32,40,28)c(32,32,20)c(24,32,20)**s(40,48,20)+*
s(32,24,28)s(24,32,28)s(32,32,28)t(40,32,12)-*-c(32,24,20)*
s(16,40,20)s(16,24,20)s(24,40,28)*+t(16,32,12)s(40,32,20)+-
t(24,24,20)c(48,40,12)+s(32,16,20)s(40,16,12)-s(16,24,12)+*
s(32,40,20)t(16,40,12)+t(24,32,28)*t(32,40,28)t(32,48,28)**
t(32,40,28)c(32,32,20)c(48,32,12)-s(40,24,28)*t(32,32,28)**
s(32,24,20)s(32,48,20)c(32,32,20)*-s(24,32,12)+c(16,32,12)+
c(24,48,12)s(24,40,20)s(32,48,20)c(48,48,12)--+t(24,32,12)-
t(48,56,12)c(32,32,20)+t(40,40,20)s(48,24,12)+-s(40,8,12)+
c(40,32,20)c(48,32,12)-t(24,24,20)-s(32,24,20)c(24,32,20)*+
t(24,32,28)s(32,40,20)s(40,40,28)t(32,32,28)**s(48,48,12)-*
s(48,8,12)s(32,16,20)+t(40,24,12)-t(24,40,28)t(40,24,20)--
s(32,24,28)t(24,40,20)t(32,32,28)*s(16,48,20)+c(32,32,12)-+
s(24,40,28)t(16,40,12)-t(48,56,12)s(32,24,20)s(24,40,20)+++
t(16,40,12)s(16,8,12)c(16,32,12)++c(16,24,12)t(40,24,12)+-
c(32,40,12)s(32,48,20)c(48,16,12)+s(16,48,20)*c(24,48,12)++
t(32,32,28)t(16,40,12)-c(32,16,12)s(32,48,20)+c(40,32,20)**
s(24,24,28)t(40,24,12)s(24,48,20)+s(40,16,20)+*s(48,40,20)-
s(32,32,20)s(32,32,28)t(24,24,20)t(32,40,28)+**s(48,16,20)-
s(40,24,28)c(32,48,12)+s(24,32,20)s(24,40,20)+*s(24,24,20)*
s(24,40,28)c(32,16,12)c(40,48,12)+c(24,32,20)s(24,40,28)*--
s(40,32,28)t(24,32,28)s(16,16,12)++s(24,40,28)*t(32,32,28)*
s(32,32,20)c(24,16,12)-c(40,24,20)c(16,24,12)+c(32,32,20)**
s(32,24,20)c(32,32,28)s(48,48,12)-s(24,16,20)*s(40,16,20)+*
c(16,24,12)t(32,48,20)+s(40,48,20)s(40,40,20)*s(32,24,12)+-
c(32,32,20)t(32,48,28)s(16,40,20)t(24,32,20)-s(8,24,12)-+*
s(24,32,28)c(16,32,12)-t(24,32,20)c(24,48,12)s(32,32,12)++-
c(32,40,20)t(48,16,12)+s(32,24,12)-s(40,16,20)s(40,24,12)--
s(32,32,20)s(40,24,28)s(32,40,28)**s(16,8,12)+s(40,16,20)-
s(40,32,20)c(32,24,20)t(40,32,20)*-s(24,32,20)s(16,40,20)*+
s(40,24,28)c(48,40,12)-t(40,48,20)c(48,16,12)+t(24,32,28)-+
s(48,48,12)s(32,16,20)+s(24,24,20)c(32,24,20)*s(24,16,20)*-
s(32,40,28)s(16,24,20)c(24,40,20)+t(24,40,20)c(24,24,12)--*
s(32,40,28)t(40,32,20)s(16,48,20)s(24,48,20)*s(8,40,12)-+-
t(32,48,28)c(24,40,20)c(32,24,20)c(24,24,20)**t(24,56,12)+*
t(40,16,12)s(32,40,28)c(40,40,12)-+s(48,8,12)t(48,56,12)+-
s(24,24,12)s(40,24,20)+t(40,16,12)-s(40,24,28)c(40,40,20)*-
c(40,24,12)t(32,16,12)+s(24,40,28)c(40,40,20)*+c(40,32,12)-
s(24,40,28)c(16,40,12)-s(24,24,28)s(24,24,20)c(32,32,12)---
t(24,56,12)s(16,24,20)+s(32,32,20)+t(40,24,20)t(48,16,12)+-
t(40,24,20)s(16,24,12)+c(40,40,20)s(48,40,20)-s(32,48,20)+-
c(24,32,12)c(48,48,12)+s(48,8,12)+c(40,40,12)-s(16,32,20)+
t(48,56,12)s(40,40,28)c(40,24,20)c(24,40,20)c(24,16,12)+**+
c(24,40,20)t(24,48,12)-s(40,40,28)*s(32,24,28)s(32,40,28)*+
s(16,40,20)s(48,8,12)+t(24,32,28)t(32,40,12)--c(32,32,12)+
s(24,16,12)c(40,24,20)+s(40,16,20)s(32,32,28)*-t(32,48,28)-
s(40,32,20)s(40,32,12)c(32,16,12)+c(24,40,20)+c(40,24,20)*+
s(40,32,20)c(32,24,20)c(32,16,12)-c(16,16,12)--s(32,16,20)+
c(32,40,20)s(40,24,28)s(40,48,12)+*t(40,56,12)s(48,48,12)+-
s(40,32,20)t(24,32,20)s(24,48,12)-t(40,40,20)+s(16,40,20)+*
t(32,32,12)s(16,32,20)t(24,32,28)*s(16,40,20)*+t(16,56,12)+
t(40,16,12)s(48,48,20)t(40,32,12)-+t(32,16,12)+t(40,16,12)-
s(32,16,20)c(32,32,20)*t(48,16,12)-c(24,48,12)+c(40,40,12)+
s(40,40,28)t(24,48,20)s(40,32,20)+*c(24,40,12)t(32,32,12)+*
s(48,24,20)s(24,32,28)t(16,24,12)-+s(32,48,20)+s(24,24,28)-
c(24,40,20)c(24,32,20)*s(8,32,12)-s(40,48,12)+s(24,8,12)+
s(24,48,20)s(24,16,20)+c(24,48,12)t(48,32,12)++s(32,48,20)*
s(32,40,28)s(16,16,20)+c(48,32,12)-c(24,32,12)c(40,40,20)+*
c(48,16,12)s(24,24,28)s(48,32,20)-s(8,16,12)-+s(16,24,20)*
s(40,24,28)s(48,24,20)-s(48,32,12)s(24,40,28)s(16,32,20)++*
s(24,32,20)s(24,16,20)t(32,40,20)s(32,24,12)-+*s(32,32,20)*
s(32,48,20)s(24,24,20)s(32,32,28)c(40,32,12)-c(32,24,20)**+
s(32,32,12)t(40,24,12)+c(40,40,20)s(48,40,12)c(24,40,20)++*
s(24,40,28)c(32,40,20)s(16,8,12)+s(24,24,20)+*s(48,40,12)+
t(32,24,20)c(48,32,12)+s(32,32,28)s(40,40,28)**s(40,48,12)+
s(16,16,12)s(40,40,20)s(32,32,12)-+s(24,16,20)-s(32,24,20)-
s(32,40,20)t(16,32,12)s(48,40,12)++s(48,48,20)-c(40,40,20)*
s(32,40,20)t(40,24,12)+c(32,32,20)s(40,32,28)*+s(24,24,20)*
t(32,40,28)t(32,16,12)s(32,8,12)+t(32,24,20)+t(24,32,20)--
t(40,32,20)t(40,40,20)t(48,16,12)s(32,8,12)+t(24,48,20)+-+
s(24,16,20)s(24,24,20)s(48,16,20)++c(32,24,20)s(32,48,20)--
s(48,24,12)s(40,48,12)s(24,40,28)t(40,48,20)-s(32,24,28)*++
s(8,16,12)c(24,32,20)+s(24,24,28)t(16,24,12)c(32,48,12)+-*
t(40,32,20)t(24,32,28)c(24,24,20)t(32,32,20)--+s(48,40,12)-
s(48,40,12)s(48,32,20)s(32,40,28)t(24,40,12)-*+t(16,32,12)+
c(32,32,28)s(48,40,20)-c(40,32,20)-s(40,40,12)t(32,32,20)++
c(16,16,12)c(32,24,20)s(48,16,20)-+t(24,40,20)s(32,16,20)--
s(40,32,20)c(40,40,20)*s(40,48,20)+c(32,40,20)+s(48,48,20)-
s(40,40,20)t(32,32,28)s(32,16,12)c(32,40,20)+c(24,32,12)-+*
s(32,32,20)t(40,16,12)+s(40,32,12)-c(16,48,12)s(16,16,12)+-
s(32,24,28)s(32,40,20)s(16,24,12)+s(16,16,12)-*t(40,56,12)+
s(32,24,20)c(16,48,12)+t(24,40,12)-c(24,32,20)*c(32,16,12)-
s(40,24,28)t(24,16,12)-c(24,24,12)-t(24,40,28)-s(48,40,12)-
c(24,40,20)c(40,40,12)t(24,48,28)+s(32,48,12)c(32,32,12)+*-
s(16,8,12)c(32,16,12)+s(16,24,20)s(40,32,28)--t(24,40,28)+
s(24,32,28)s(32,8,12)t(32,32,20)t(48,32,12)++c(40,24,20)**
s(32,32,28)c(24,24,20)c(24,24,20)s(16,16,20)*t(40,40,12)+**
c(32,32,20)s(24,8,12)s(32,40,12)+s(16,40,20)s(24,48,12)-+*
s(40,24,28)s(32,8,12)t(40,40,12)s(8,32,12)++-s(48,16,20)*
s(48,16,20)t(48,16,12)s(16,32,20)t(16,32,12)-+-c(32,16,12)-
s(48,32,12)s(24,48,20)t(24,24,12)++c(40,16,12)+s(40,24,28)*
s(40,40,20)s(32,32,12)-c(40,40,20)c(48,24,12)c(40,40,12)+**
c(48,40,12)t(40,40,12)c(48,32,12)+s(48,40,20)*s(32,40,12)++
s(40,40,28)c(32,32,20)*s(48,40,20)c(40,32,12)--s(24,24,28)+
s(40,40,28)c(24,16,12)c(24,40,12)++c(48,24,12)t(24,48,20)+*
s(40,40,28)t(40,48,12)-c(32,40,20)*s(40,48,20)+s(24,48,20)*
s(32,48,20)t(24,48,12)c(16,16,12)+t(24,32,28)+s(40,32,28)-+
s(32,16,20)s(48,24,12)-s(16,40,20)t(48,24,12)+c(24,32,20)*-
s(24,24,28)s(40,16,20)c(24,24,20)-+c(40,24,20)*t(32,40,28)-
s(24,40,20)t(24,48,28)*s(24,32,28)c(40,24,20)s(40,32,28)*+*
s(32,32,28)c(40,32,20)c(24,16,12)-*c(32,32,20)c(24,32,12)-*
s(40,16,20)s(40,32,28)t(24,32,28)*t(32,48,20)c(24,40,20)*--
t(48,40,12)s(8,24,12)c(24,16,12)++c(24,16,12)-s(24,40,28)+
c(32,32,20)s(32,32,28)s(48,32,20)-c(24,24,20)**s(40,24,12)+
c(24,24,12)t(40,24,20)+c(40,40,20)s(32,32,20)*+c(24,32,20)*
c(32,24,20)s(32,16,12)t(40,16,12)+c(32,40,20)t(32,40,20)-++
s(16,8,12)t(40,48,20)c(40,16,12)s(40,48,20)c(40,32,20)*+++
s(40,40,28)s(32,40,28)*c(32,24,20)-s(32,40,28)t(32,32,28)*-
s(32,8,12)t(24,40,20)t(24,32,20)++c(24,48,12)s(16,40,20)+*
s(24,24,20)s(40,48,20)s(40,24,20)-t(32,32,28)+s(16,40,20)*+
s(32,24,28)s(24,48,20)-s(24,16,12)t(24,48,28)+c(16,48,12)--
s(32,16,20)t(40,32,12)+t(24,48,12)+t(48,24,12)c(40,16,12)+-
s(24,32,20)t(32,48,28)s(8,16,12)s(16,48,20)+*-c(16,16,12)-
s(40,48,20)t(40,24,20)s(24,24,12)-s(32,48,12)+s(40,32,28)*+
s(24,48,20)c(32,40,20)*t(48,40,12)+s(32,24,28)c(32,16,12)--
c(24,40,20)t(48,24,12)t(32,40,28)+*c(32,40,12)t(32,56,12)+*
c(16,24,12)t(40,48,20)s(48,8,12)t(48,40,12)+t(48,16,12)--+
s(24,32,28)t(32,48,20)+s(40,32,28)s(32,16,20)-*t(32,40,20)*
s(48,48,20)t(40,40,12)s(16,40,20)+c(32,24,20)c(40,40,12)+*-
s(32,32,28)c(24,24,20)s(16,32,20)s(32,32,20)+s(32,48,20)*--
t(32,40,28)s(24,32,28)s(40,48,20)-s(40,32,28)+c(48,40,12)-*
s(40,16,20)s(24,32,28)s(32,16,20)*t(24,24,20)s(40,32,20)+*-
s(24,32,20)t(24,32,20)t(32,48,28)t(24,40,28)*+s(32,40,20)**
s(32,16,20)c(16,16,12)-c(32,40,12)t(40,40,12)s(32,24,20)+++
c(40,24,20)s(32,48,20)s(40,40,20)t(40,24,20)-*-s(40,40,28)-
t(24,32,28)s(32,40,28)t(32,48,20)t(24,24,20)c(16,40,12)-+**
s(24,32,20)s(32,48,20)c(48,48,12)s(24,8,12)s(24,40,28)++*+
t(40,56,12)t(24,16,12)+t(32,32,28)+s(40,24,28)t(32,16,12)--
s(32,40,28)s(32,40,20)-t(24,40,20)+s(16,32,20)-t(48,24,12)+
c(40,32,20)c(32,32,28)s(24,32,12)-t(24,16,12)-*c(32,32,12)-
s(32,32,28)s(40,24,28)s(32,48,12)+t(24,32,28)*s(40,24,20)+*
c(32,48,12)c(40,16,12)+s(40,32,20)+c(24,24,20)-s(48,32,12)-
t(32,48,28)s(24,24,28)s(24,24,12)-s(40,16,12)s(24,40,12)+*-
s(24,48,12)s(40,48,20)t(32,48,28)*s(16,24,12)++c(40,32,20)-
s(32,40,28)s(32,40,20)t(40,48,20)-t(24,48,12)t(24,24,12)++-
s(24,40,20)c(32,40,20)c(24,24,12)+*c(24,32,20)t(16,16,12)-*
s(8,48,12)t(24,32,20)+t(40,40,20)-c(24,40,20)t(32,32,12)-*
c(32,40,20)s(40,48,20)s(16,32,12)+*c(32,48,12)-t(32,48,20)+
s(24,32,28)s(24,32,28)s(48,48,20)-s(24,40,20)*s(40,8,12)+*
t(24,32,28)s(32,40,28)*c(16,32,12)t(40,32,20)s(32,40,28)*+*
t(24,40,28)c(24,40,20)*s(16,24,20)+s(24,40,28)*s(48,32,20)-
t(24,40,28)s(40,24,28)+c(24,40,20)s(16,40,20)**s(24,48,20)*
s(16,24,20)t(24,32,28)*s(16,16,12)s(8,40,12)++s(16,16,12)-
s(24,40,20)s(16,24,20)s(24,48,20)+t(24,40,28)**s(40,40,28)*
s(32,32,28)s(32,48,20)-t(32,40,28)s(24,8,12)s(16,16,12)++*
s(24,32,28)s(16,24,20)-s(40,40,28)c(48,16,12)+c(32,40,20)**
s(24,32,12)t(32,40,28)s(32,48,20)*+t(40,40,12)-t(24,48,28)*
s(24,16,12)s(24,48,20)+s(32,24,20)-t(16,56,12)-s(8,32,12)+
s(24,24,20)c(32,40,20)s(16,24,12)+t(40,24,20)+*s(16,32,20)*
t(16,48,12)s(40,40,28)c(40,32,20)t(24,40,12)c(40,16,12)+*-+
t(32,32,12)t(32,24,20)+s(24,48,20)s(16,32,12)+-c(16,32,12)+
c(32,32,20)c(16,16,12)-c(40,24,12)t(24,48,28)++s(48,32,20)*
s(16,40,12)c(32,40,12)s(24,48,20)+t(16,40,12)-+t(24,40,28)*
t(24,40,20)t(32,40,28)s(32,48,20)+t(48,32,12)+c(40,24,12)-*
c(24,32,20)s(32,40,20)c(24,24,20)s(48,32,20)c(24,40,12)++**
s(32,24,28)s(40,40,28)t(24,48,28)t(32,32,28)*-c(40,16,12)+-
t(32,48,20)s(24,24,12)+c(24,40,20)c(32,32,20)*c(48,40,12)--
s(32,8,12)c(32,24,20)s(40,16,20)*t(40,40,20)-+s(24,8,12)-
s(32,32,28)s(48,24,20)c(24,24,12)+*s(16,32,20)+c(32,24,20)*
s(32,32,28)s(24,16,20)s(24,48,20)t(24,32,20)t(32,40,12)--+*
s(24,32,28)s(40,48,20)c(40,32,20)*-c(32,32,28)s(40,32,28)-*
s(48,40,20)s(24,40,28)+s(40,40,20)c(40,24,12)c(24,48,12)+--
s(32,40,28)c(32,24,20)t(32,40,20)+s(24,32,28)**t(24,32,12)-
c(24,32,20)s(32,40,28)*t(32,32,12)-s(8,16,12)+t(24,40,28)*
s(40,16,12)c(48,48,12)+s(16,16,12)+c(40,32,20)*t(24,24,20)+
s(32,32,28)s(40,48,20)-s(48,32,20)t(32,48,20)-c(32,32,28)*-
s(32,24,20)s(16,16,12)-s(40,32,28)s(24,32,20)*t(32,40,28)*-
s(40,16,12)t(40,32,20)+c(40,24,20)s(32,40,28)*t(32,24,20)++
t(24,48,28)t(16,32,12)s(48,16,12)c(40,40,12)++-c(24,24,20)+
c(24,48,12)s(24,24,28)+s(8,40,12)s(16,16,20)+t(24,40,20)-*
c(32,32,28)c(24,40,20)s(32,32,12)--s(40,40,20)*c(40,48,12)-
s(16,40,20)c(40,32,20)+c(32,40,20)s(8,16,12)+s(32,48,20)-*
t(32,24,20)t(24,40,20)s(48,24,20)+c(32,40,20)-s(40,32,28)*+
s(32,32,28)s(48,24,20)s(32,24,28)c(40,32,12)t(32,24,20)+---
s(24,16,20)c(40,24,20)+c(16,16,12)s(32,48,12)+*t(16,56,12)+
c(40,40,20)s(40,32,20)c(48,16,12)-*t(32,48,28)s(24,40,28)*+
s(40,32,28)s(16,40,20)-c(24,40,12)t(16,56,12)+s(32,48,20)+-
t(24,48,12)t(24,32,20)s(40,16,12)+t(24,32,28)*s(24,8,12)++
s(8,40,12)c(32,40,20)t(32,56,12)s(40,24,12)++t(24,32,20)*+
s(24,48,20)s(48,40,20)+s(48,24,12)t(24,48,12)+t(32,48,12)-+
s(16,16,12)c(32,32,12)t(24,32,20)+s(32,40,28)*s(40,24,28)*+
s(24,24,28)t(32,32,28)s(16,16,20)+s(24,8,12)-c(40,16,12)-*
s(24,40,20)t(24,40,12)t(48,40,12)+-s(16,32,12)-t(40,56,12)+
s(16,24,12)t(32,24,20)t(16,56,12)+c(16,40,12)-t(32,32,28)*+
s(32,40,20)s(48,32,20)c(16,32,12)+*c(16,48,12)+s(16,32,12)-
s(24,24,28)s(16,48,12)t(32,32,28)c(40,48,12)-+s(8,40,12)-*
s(24,40,28)t(40,48,20)-s(32,32,28)s(24,40,20)+s(32,40,12)-+
t(16,56,12)s(24,32,20)s(40,40,28)*s(40,24,28)s(40,40,28)**+
t(40,56,12)t(32,24,20)c(32,32,12)s(16,40,20)+c(24,32,20)*++
c(24,24,12)s(24,40,28)c(16,32,12)-+t(40,32,12)-t(32,40,28)*
s(40,40,28)s(40,40,28)s(32,48,20)c(48,32,12)+*c(24,48,12)--
t(40,48,20)t(24,24,20)+s(32,48,20)s(40,48,20)t(40,32,20)+**
s(24,24,28)s(16,48,12)+t(32,40,28)*s(24,48,12)-s(32,40,28)*
s(40,40,28)s(24,16,12)+c(48,40,12)-t(32,24,20)-c(24,24,20)-
s(24,32,28)c(40,24,20)t(32,40,20)s(24,40,20)*s(32,24,12)+*-
c(32,24,20)t(24,32,28)s(24,48,20)-c(40,40,20)c(32,32,20)*+*
s(32,24,20)c(40,24,20)s(16,40,20)s(32,40,20)+c(40,40,20)*-*
t(24,32,28)c(24,40,20)c(40,48,12)t(32,48,20)s(40,32,12)-+--
s(32,24,28)c(40,32,20)s(32,8,12)+s(32,48,12)-*s(40,40,20)-
s(40,32,20)t(24,48,28)t(48,48,12)t(24,56,12)s(48,32,12)+++*
c(40,24,20)c(24,24,12)-t(40,48,20)s(24,48,12)c(16,48,12)+-+
s(32,32,20)s(40,24,28)+s(40,40,28)c(32,32,20)t(24,40,28)**-
s(48,48,12)s(48,24,12)s(32,40,20)++s(48,40,20)-s(24,32,28)*
s(24,8,12)s(32,32,20)+c(24,32,12)-t(48,24,12)-c(32,32,20)*
c(32,32,20)s(32,24,28)+t(48,40,12)c(32,40,20)s(32,48,20)*++
s(32,24,20)t(32,48,28)s(16,48,20)*+c(48,24,12)t(24,40,20)+*
s(24,24,20)t(32,32,28)c(32,40,20)*c(16,16,12)c(16,24,12)+-+
s(48,32,20)c(32,32,20)c(16,48,12)+*s(40,24,28)c(24,40,12)-*
s(24,48,12)s(16,32,20)s(48,8,12)++t(24,24,20)+s(40,40,20)-
s(32,40,28)c(48,24,12)c(32,48,12)+*s(16,48,12)+c(40,48,12)-
c(40,24,20)s(16,40,12)t(24,48,20)+s(48,32,20)+*c(32,24,20)+
t(32,40,28)s(16,40,20)c(24,24,20)c(40,40,20)c(40,24,20)++*+
s(48,40,20)s(40,32,20)t(24,40,28)s(32,48,20)s(40,40,20)+*--
c(48,24,12)t(32,48,28)+c(40,40,12)s(24,8,12)s(8,48,12)++-
s(32,48,20)s(24,16,20)s(48,48,20)+c(32,24,20)c(48,40,12)-+*
s(40,40,28)s(16,40,20)s(16,32,20)s(32,24,28)+*t(40,48,20)+*
c(24,32,20)c(32,40,20)+t(32,56,12)s(40,24,28)+s(24,32,12)-*
t(16,32,12)s(40,24,28)+c(24,32,20)*s(32,24,28)s(40,40,28)**
s(32,16,20)s(24,48,20)s(32,24,20)s(16,40,20)-t(40,16,12)-++
c(32,32,28)t(32,24,20)-s(48,48,20)s(40,24,28)s(16,16,20)---
s(24,32,28)s(8,40,12)t(32,48,12)+s(16,16,12)+*s(8,32,12)+
c(32,40,20)t(40,24,20)t(32,48,28)--s(24,32,28)*s(40,48,20)+
s(24,16,12)t(24,40,20)+s(24,24,28)t(48,48,12)+s(24,40,28)*-
t(24,48,28)s(16,48,12)t(40,40,20)s(16,24,20)++s(24,24,28)*+
s(24,24,28)c(40,40,20)*s(16,48,20)t(24,48,12)s(16,32,12)+--
c(32,32,12)s(40,32,20)c(24,24,20)-t(40,32,20)++c(48,16,12)-
c(32,40,20)s(16,24,20)t(32,40,28)+t(32,40,28)c(40,40,12)--*
t(40,40,12)s(16,24,12)+s(40,24,12)s(32,40,20)+s(16,40,20)*-
c(40,32,20)s(40,32,20)s(48,48,20)-c(32,48,12)-c(48,16,12)+*
s(24,32,28)t(40,32,20)s(48,24,20)s(40,24,20)*s(16,32,20)+*-
c(40,24,12)s(48,32,12)+s(16,24,20)s(40,24,28)+s(24,32,20)*-
t(24,32,28)c(24,24,20)c(32,24,12)-s(16,40,20)c(48,48,12)++*
s(48,24,20)s(32,40,28)t(24,48,28)*s(40,24,20)s(24,24,12)-+*
t(32,24,20)s(40,24,20)c(40,32,20)+s(32,48,20)s(24,24,28)--*
s(40,40,28)c(32,32,20)c(32,24,20)s(48,40,20)-*-t(32,32,28)+
c(24,32,20)c(40,24,20)t(24,24,20)c(40,40,20)+*c(24,24,20)+*
c(32,32,20)s(16,32,20)s(24,16,20)-s(16,40,20)*-t(16,24,12)-
s(40,40,28)c(32,32,20)c(24,40,20)*c(40,40,12)+t(24,40,28)*-
c(40,32,20)t(48,24,12)-s(16,48,12)c(40,32,12)+t(40,48,20)+*
s(40,24,20)s(40,40,28)c(40,24,20)c(32,40,20)*--s(48,40,12)-
s(40,16,20)s(48,16,20)s(16,32,12)t(32,24,20)+-s(48,8,12)--
t(24,40,20)t(48,32,12)s(24,8,12)++c(40,40,12)-t(24,16,12)+
s(24,32,20)c(24,32,20)t(32,40,28)-c(32,48,12)s(16,32,12)++*
t(32,48,28)s(48,24,20)+c(48,16,12)-s(32,40,20)t(40,48,12)-*
c(24,40,20)s(40,40,28)t(48,24,12)-s(24,40,28)**s(24,24,28)*
s(16,24,20)t(32,24,20)+s(40,24,28)*s(24,24,12)t(32,40,28)+*
s(24,40,28)s(40,40,28)t(24,48,12)-c(32,48,12)-*t(32,56,12)+
s(24,32,20)c(40,24,20)s(16,16,20)-c(24,24,12)+s(32,24,28)**
s(16,48,20)s(24,40,20)s(16,40,20)*c(32,40,12)--s(24,24,28)-
s(24,40,28)s(40,48,20)t(48,32,12)++s(24,24,28)t(24,32,20)--
s(24,24,28)s(48,40,20)-c(24,40,12)-s(40,16,20)s(32,24,20)++
s(24,24,20)s(24,24,12)t(24,48,20)t(32,48,28)t(40,56,12)-*+-
s(32,40,20)s(32,24,20)s(40,32,28)*+c(40,24,12)c(16,48,12)+*
c(32,16,12)s(32,24,20)t(32,40,28)c(48,32,12)s(24,24,28)+**+
c(24,40,20)t(24,32,12)c(48,24,12)t(32,32,12)+s(48,40,12)-+-
s(40,24,28)t(24,56,12)+s(48,16,20)t(32,56,12)+t(32,16,12)+*
t(32,40,12)t(32,24,12)+s(24,48,20)+t(24,48,28)c(16,48,12)-+
c(40,40,20)t(32,24,12)-c(32,32,20)c(24,32,20)t(24,48,20)--*
c(24,40,20)s(16,16,20)-s(24,40,12)-s(24,32,28)s(40,40,28)*+
s(24,48,20)s(32,16,12)+s(32,40,28)s(32,24,28)t(24,40,28)+**
s(16,32,20)s(32,32,28)*t(32,40,12)-c(24,48,12)+t(16,32,12)-
t(32,48,28)t(32,24,20)-s(48,48,20)c(40,40,20)s(32,32,12)-*+
t(24,24,12)s(40,32,20)c(32,40,20)*s(40,24,20)t(40,48,20)+*+
t(48,24,12)s(32,24,20)c(48,32,12)+s(16,48,12)t(24,32,28)+*+
s(24,32,28)s(24,48,20)s(24,40,20)*-t(32,32,28)s(48,32,20)*-
c(32,32,12)t(24,40,28)+s(16,16,20)s(32,40,20)+t(24,32,28)*-
c(32,24,12)t(16,24,12)s(40,32,20)s(48,40,20)*++t(32,24,12)-
s(40,48,20)c(16,16,12)s(32,32,20)c(48,48,12)s(24,24,28)+*+-
s(24,24,20)s(32,48,12)s(32,16,20)+t(24,40,20)+s(48,40,20)-*
t(32,32,28)c(32,40,20)s(32,48,20)*-s(48,48,20)+c(40,24,20)-
c(40,32,20)s(40,24,12)t(24,40,20)s(24,48,12)++c(40,16,12)-*
t(32,48,12)s(40,16,12)c(24,40,20)s(24,32,20)-+t(40,16,12)-+
s(40,40,28)t(32,40,28)s(40,32,28)*t(16,48,12)+c(32,24,12)--
c(24,40,20)c(32,24,20)s(24,16,20)s(48,8,12)+s(24,24,20)+**
s(24,40,28)c(48,48,12)+t(48,16,12)+t(16,48,12)-c(40,32,20)-
c(32,32,20)s(48,32,12)c(40,48,12)+*s(24,8,12)+s(48,48,12)+
s(40,40,20)t(40,56,12)c(32,24,20)+t(24,24,12)-*s(40,40,12)+
s(32,40,28)t(24,48,28)s(48,48,12)t(16,32,12)+c(32,48,12)+--
s(32,48,20)t(24,48,12)c(32,32,20)t(32,24,20)-t(24,40,28)*+*
s(32,48,20)c(16,40,12)s(40,24,28)t(32,24,20)-+s(40,16,12)--
c(24,24,20)s(24,16,20)s(8,8,12)+t(32,32,12)+s(16,40,20)+*
s(48,32,12)c(40,40,12)+t(32,32,20)s(8,8,12)+c(24,32,20)*-
s(40,24,28)s(24,40,28)c(40,24,12)-t(16,40,12)-s(16,8,12)+-
s(32,24,20)c(32,32,20)s(24,40,12)-c(48,16,12)-*t(32,32,28)*
s(16,24,20)s(24,48,20)s(24,24,20)+s(16,16,12)s(40,40,20)+--
t(24,40,28)s(32,48,20)*t(16,56,12)+s(32,48,20)*s(24,32,12)-
c(40,32,20)s(40,40,28)+s(32,48,20)s(16,48,20)t(32,32,20)---
t(40,40,20)t(32,48,20)+s(40,32,28)c(32,24,20)+*s(40,32,12)-
s(24,48,20)s(32,16,12)t(32,56,12)+s(16,40,12)++c(24,40,20)*
c(24,24,20)s(48,16,20)s(8,32,12)c(32,40,20)++s(48,32,20)*-
s(24,16,20)s(24,24,28)c(32,24,20)s(32,32,20)*-s(8,40,12)-*
c(40,32,20)c(32,32,20)t(16,16,12)+c(40,24,20)*s(24,24,28)+-
s(40,48,20)s(32,48,20)s(40,32,12)-s(48,32,12)s(8,16,12)++*
t(32,32,12)c(32,32,20)c(40,32,20)t(48,40,12)-*t(32,48,20)-+
t(16,32,12)t(32,32,20)+t(32,32,20)s(16,40,12)-c(32,48,12)+*
s(16,24,20)s(16,48,20)s(40,24,20)s(16,16,20)-s(24,40,28)+*+
t(24,32,28)s(32,32,28)s(24,48,12)-*s(32,24,20)c(48,16,12)-*
t(32,24,20)s(32,32,20)s(32,48,20)*t(40,48,12)s(16,48,12)++-
s(48,40,20)s(24,16,12)+s(24,8,12)-c(48,48,12)-t(24,16,12)-
s(40,24,20)s(40,40,28)*s(32,32,28)s(24,40,28)--c(16,24,12)+
s(32,40,20)s(24,16,20)-s(24,24,28)t(32,16,12)-s(24,40,20)*-
s(40,32,28)c(40,32,20)t(48,48,12)-c(24,24,20)*-s(8,8,12)+
t(32,48,20)c(24,24,20)c(24,40,20)*t(48,32,12)+s(32,32,28)*-
t(24,32,28)s(16,16,20)-c(24,32,20)s(40,48,12)+t(24,24,20)-*
s(24,24,28)s(40,40,28)c(32,32,20)s(24,24,20)+s(24,40,20)-*-
s(24,24,28)t(32,32,28)c(24,40,20)*s(40,32,28)s(24,40,28)***
s(24,32,20)t(24,48,28)t(40,48,12)-s(32,40,28)s(48,40,20)+*+
t(16,40,12)s(32,32,12)t(24,48,20)s(40,32,20)c(32,40,20)*-++
s(40,32,28)c(24,40,20)s(32,40,20)*-c(16,40,12)+s(48,32,20)*
s(16,40,20)s(24,32,28)s(32,40,20)s(32,48,20)*t(40,48,20)+*-
s(48,16,12)s(40,48,20)c(32,40,12)-c(40,32,12)+s(24,40,12)++
c(48,32,12)s(16,40,12)+s(40,40,28)+c(16,48,12)s(8,48,12)++
c(32,24,20)s(24,32,20)*s(16,32,20)c(32,32,20)*+s(48,24,20)-
t(24,48,28)s(40,40,20)s(40,48,20)s(24,32,12)+*c(24,40,12)+*
t(32,32,20)t(24,48,12)t(24,32,12)++c(24,24,20)t(48,48,12)+*
s(40,16,20)s(24,40,28)s(32,24,28)*+c(40,40,20)-t(16,40,12)+
s(32,16,20)s(40,40,28)s(48,40,20)t(24,40,12)+c(24,40,12)-*+
t(32,40,28)s(48,40,20)t(40,40,20)*c(24,32,20)s(32,16,12)-+*
s(32,24,20)c(24,24,20)c(16,48,12)s(24,16,20)++c(24,16,12)-*
s(40,48,12)s(40,24,28)t(32,40,28)s(32,32,20)**t(24,48,20)-+
c(32,32,20)s(32,40,20)*t(24,48,20)-s(16,40,20)s(16,48,12)-+
s(32,24,28)s(24,8,12)c(16,48,12)+s(8,40,12)c(32,32,20)++*
s(40,24,28)s(16,16,20)s(48,40,20)+s(24,32,28)*c(24,16,12)+*
t(40,56,12)s(48,8,12)+s(32,32,20)+c(48,48,12)t(48,24,12)+-
s(32,24,20)c(16,40,12)s(48,48,20)+t(40,24,20)+t(40,32,20)--
c(16,40,12)c(32,32,20)s(24,24,20)s(24,40,28)+*s(40,24,28)*+
s(32,16,20)s(40,32,28)s(24,40,28)++s(16,48,12)-s(24,40,20)*
s(48,24,20)c(32,32,28)*t(40,48,12)+s(24,8,12)t(32,56,12)++
s(40,40,20)c(24,32,12)-t(40,16,12)+s(48,16,20)s(40,16,20)*-
t(32,40,28)t(24,32,28)*c(40,32,20)*t(40,32,20)+s(16,40,20)-
s(24,40,20)t(24,40,20)s(32,32,12)-t(40,16,12)+c(40,40,12)--
s(48,40,20)c(40,40,20)t(24,48,20)t(24,24,20)s(16,24,20)*+-+
s(16,40,20)s(32,48,12)-s(32,16,12)c(16,48,12)s(40,16,12)++-
s(48,24,20)t(32,24,12)c(48,48,12)+s(32,16,12)t(40,24,20)+-+
t(32,32,28)s(32,24,28)*s(40,32,20)*c(24,40,12)-t(32,48,20)+
c(40,16,12)c(16,16,12)+s(16,48,20)c(24,24,12)t(32,48,28)+*+
s(24,40,28)c(32,32,28)s(40,48,12)-s(48,40,20)-*t(32,40,28)-
s(40,24,12)s(24,40,12)+s(48,40,20)c(32,32,12)-+s(40,32,28)*
t(24,48,28)c(32,24,20)s(40,32,28)*t(40,48,20)+s(24,40,28)*-
s(32,24,20)c(40,24,20)c(24,48,12)+s(16,48,20)-*t(32,24,20)*
s(40,32,28)t(24,32,28)s(16,32,20)*t(32,40,20)-s(24,24,12)+-
t(48,40,12)t(24,40,20)s(48,24,20)s(40,16,20)*++t(24,48,20)-
s(48,16,20)s(32,48,12)s(48,24,20)+t(24,24,12)++s(32,32,20)*
s(48,16,20)s(24,32,28)c(40,24,12)s(32,16,20)+*+s(40,48,12)+
s(24,24,20)c(32,32,28)s(32,40,20)-s(40,24,20)*+t(24,32,20)*
c(24,40,20)c(40,40,20)t(24,32,28)-c(48,48,12)-+t(32,48,20)*
c(32,24,20)s(32,16,20)s(24,16,20)+c(32,32,20)--t(24,32,28)+
s(16,40,20)s(24,32,28)t(32,32,12)-*s(48,16,20)+s(40,40,20)-
s(24,40,28)c(40,32,12)-c(32,40,20)*c(24,32,20)s(24,40,20)**
s(24,32,28)s(8,48,12)c(40,24,20)+s(16,48,12)-*t(32,48,20)+
s(48,24,20)t(16,16,12)+s(16,48,12)+s(32,40,12)+t(40,24,20)*
s(24,24,28)c(40,32,12)t(24,48,28)+*s(40,40,20)+c(32,32,20)*
s(40,16,20)s(16,40,12)c(48,32,12)+-s(40,32,28)+s(24,24,12)-
c(24,32,20)s(8,32,12)-c(40,32,20)s(48,16,12)s(24,40,12)+-*
c(32,40,20)s(32,16,20)+t(32,16,12)s(48,24,20)++s(24,40,20)*
s(8,32,12)s(32,32,20)t(24,32,20)s(24,16,12)-s(24,16,20)+*+
s(32,40,20)s(40,24,20)t(40,56,12)t(48,32,12)+--s(48,40,12)-
t(32,48,20)s(40,32,20)+c(40,40,20)s(48,16,20)+*t(32,32,28)*
s(48,8,12)c(16,32,12)+s(32,32,28)+c(32,40,20)*s(32,24,20)-
s(32,24,28)c(32,32,20)s(48,32,20)s(48,40,20)*s(40,24,28)*+-
t(24,24,12)s(40,16,12)s(40,48,20)s(32,40,12)-++s(48,24,12)+
s(8,8,12)t(32,48,20)+s(8,32,12)+c(32,24,20)-s(40,40,28)-
s(32,40,28)s(32,8,12)+s(32,48,20)s(40,16,20)+c(24,16,12)+*
s(32,16,20)s(24,16,20)s(32,40,20)c(32,24,20)*+*s(32,32,28)*
c(24,24,20)s(40,24,28)s(24,24,20)*-t(24,48,20)-s(8,16,12)+
s(32,24,28)s(16,16,12)s(16,40,12)+s(32,32,28)s(24,40,28)-+-
s(48,32,12)t(24,32,20)+c(24,48,12)+c(40,24,12)-t(32,32,20)+
c(24,40,20)t(32,32,28)s(48,32,20)s(48,32,12)-t(16,24,12)+-*
t(32,32,28)s(32,32,12)c(48,32,12)s(48,16,12)+t(40,24,20)++*
s(32,40,20)s(40,24,20)t(40,56,12)+c(40,40,20)+s(48,48,20)*-
t(40,32,20)c(24,32,20)+s(40,32,12)-s(16,40,20)s(16,48,20)*+
c(40,40,20)t(24,24,20)-s(16,48,20)-s(48,48,20)s(40,48,20)**
t(24,24,20)s(40,40,12)+s(32,40,28)s(32,24,28)*+c(16,40,12)+
c(32,24,20)c(24,48,12)+c(32,40,20)*c(32,48,12)-s(32,48,12)+
s(32,48,20)t(32,32,12)t(24,48,28)+s(40,48,12)-t(48,32,12)+*
t(32,40,20)s(24,48,12)s(40,16,12)++s(40,8,12)c(16,40,12)++
t(24,32,20)s(32,48,20)t(32,40,28)*c(32,24,20)t(24,40,28)-++
s(40,24,28)c(40,32,12)t(40,48,20)c(32,16,12)++s(48,48,20)-*
c(16,16,12)s(16,24,20)c(32,40,20)t(32,48,28)+-+c(24,40,20)+
c(24,40,20)s(32,32,20)s(40,24,28)s(40,32,28)**s(24,40,28)**
c(32,24,20)s(48,32,20)t(40,16,12)-+s(48,40,20)+c(32,32,28)*
c(32,32,28)s(32,40,20)c(32,40,12)-s(8,40,12)+*t(40,32,12)+
t(24,40,28)c(32,24,20)t(48,32,12)-t(32,40,28)s(16,48,12)-*-
c(40,40,20)s(32,16,12)s(40,40,12)+s(40,32,28)*t(32,40,12)-+
s(32,32,20)t(48,16,12)c(24,24,12)+s(32,24,12)t(40,56,12)+-+
s(40,32,20)s(48,16,12)+s(8,24,12)+s(16,32,20)*s(8,32,12)+
t(24,48,20)t(32,40,20)+s(40,24,12)+s(40,16,12)-s(8,40,12)+
s(16,32,20)c(40,40,20)t(48,24,12)-+s(32,16,20)s(40,32,28)+*
c(32,32,28)s(32,16,20)t(24,40,28)-s(24,32,20)t(40,48,20)+--
t(16,56,12)t(24,32,28)+s(48,48,12)+c(24,40,20)-s(48,24,12)+
c(32,24,20)t(32,32,12)s(24,32,12)+-c(32,16,12)-s(32,32,12)+
t(32,40,28)s(32,32,28)c(32,40,20)s(24,40,20)t(40,32,20)--*-
s(48,32,20)s(32,48,20)c(40,40,12)s(32,16,20)++s(40,32,20)**
s(32,32,20)c(32,32,20)s(40,40,20)t(32,48,28)+*+t(48,32,12)-
t(24,16,12)t(40,16,12)+s(48,16,20)s(24,40,28)-+s(48,40,20)-
s(32,32,28)s(40,48,20)s(32,48,20)t(32,32,12)+*-t(32,24,20)*
s(24,24,20)s(48,32,20)s(48,40,12)-+s(32,24,28)*s(40,16,20)-
s(40,32,28)t(24,40,28)c(24,32,20)*t(40,24,20)--c(40,32,20)*
t(24,40,28)s(32,24,28)*s(40,32,12)c(16,32,12)++t(32,32,28)*
t(32,40,20)s(40,48,20)s(24,40,28)t(32,32,20)*+t(40,56,12)-*
s(32,40,28)c(40,40,20)*s(32,24,28)s(40,40,28)*s(24,24,28)**
c(40,16,12)c(40,40,12)s(24,48,20)+c(40,24,20)-+s(24,24,20)+
t(24,32,20)s(32,24,28)s(16,16,20)s(32,40,28)--s(48,32,12)-*
s(40,32,28)s(8,48,12)c(40,32,12)++c(24,16,12)+t(48,40,12)-
t(24,48,28)s(32,40,28)s(48,24,20)c(32,32,28)*-*s(16,32,20)-
t(40,40,20)s(32,16,20)t(24,32,12)+c(24,40,12)-c(24,32,12)--
t(32,32,28)c(40,32,20)t(40,16,12)-s(24,40,20)*-s(24,24,12)-
t(24,32,20)s(40,48,20)-t(32,24,20)c(24,16,12)++s(40,24,12)-
s(32,40,20)t(32,48,20)*s(24,32,20)+c(32,32,20)*t(24,48,20)-
c(40,40,20)c(40,32,20)+c(48,16,12)s(40,16,20)t(32,40,28)-+-
c(40,32,12)c(16,32,12)t(24,16,12)++t(40,24,12)-s(16,32,12)-
c(32,32,20)s(24,40,20)*s(32,40,20)s(48,48,20)-c(48,24,12)-*
t(32,24,20)c(40,40,20)c(24,40,20)*s(48,24,20)-s(48,48,12)--
t(24,48,28)s(40,40,20)+t(24,32,28)t(40,24,20)+-s(32,40,20)+
c(32,32,20)c(40,32,20)+s(32,40,28)c(40,32,12)-t(24,48,28)**
c(40,32,20)t(40,48,20)-s(24,40,28)s(48,40,20)c(40,32,12)+*-
c(24,40,20)t(32,24,20)+c(40,24,20)s(24,24,28)**s(24,24,12)+
s(40,32,12)s(16,24,20)+s(24,24,28)*c(48,16,12)+s(40,32,20)-
s(24,40,28)s(16,16,20)c(32,24,20)c(40,16,12)--t(24,40,28)+*
s(48,32,12)s(48,8,12)+t(24,24,20)c(32,24,12)++c(32,24,12)-
s(24,24,28)s(32,40,12)-c(24,24,20)s(24,40,20)*+s(16,40,20)*
t(24,32,28)c(24,32,12)-s(40,48,20)t(16,32,12)+c(16,24,12)--
s(16,24,20)s(8,32,12)c(16,16,12)+s(40,24,28)s(24,40,12)--+
s(32,40,28)s(48,40,20)s(48,16,20)s(16,24,20)++*t(24,32,28)*
c(24,40,20)s(40,32,28)*s(24,32,12)s(48,8,12)+s(8,40,12)+-
t(32,32,28)t(24,48,20)s(24,48,20)t(40,40,20)-*+t(24,24,20)+
c(40,40,20)c(40,32,20)t(24,24,20)++c(40,24,20)*c(32,40,20)*
s(24,32,20)c(48,16,12)s(16,40,20)++c(32,32,20)*s(40,32,20)*
s(16,48,12)s(16,32,12)+s(24,24,12)-s(24,32,28)c(24,16,12)-*
s(32,32,28)t(40,32,12)t(24,40,20)s(8,24,12)++*c(24,24,20)+
s(32,32,28)t(32,40,28)+s(40,48,20)c(40,24,12)+*c(40,32,20)*
s(40,40,28)c(24,40,20)s(40,40,20)*-c(40,48,12)s(48,24,20)+*
t(40,40,20)s(16,32,12)+c(40,24,12)-c(16,40,12)+c(40,48,12)+
c(24,24,20)c(24,24,20)s(32,16,20)s(48,8,12)-*t(24,40,20)+*
c(32,24,20)c(48,16,12)-s(40,24,28)c(24,32,20)c(32,32,20)*-+
s(24,16,20)c(48,16,12)s(40,8,12)+c(40,24,20)*-s(16,8,12)-
s(24,24,20)s(24,16,12)t(48,16,12)+s(48,16,12)+s(40,24,28)*+
s(24,32,20)t(32,40,20)+s(32,24,28)c(40,32,20)*s(32,32,20)**
t(24,24,12)s(24,48,20)+s(40,24,28)-c(32,24,20)s(24,40,28)*+
c(40,40,20)t(32,16,12)+c(40,40,20)t(48,24,12)s(48,32,12)+--
s(40,32,28)c(24,24,20)s(24,32,20)*-t(32,32,28)*s(32,48,20)+
c(32,32,28)c(40,24,20)s(48,24,20)*-c(48,48,12)-s(40,40,28)*
s(40,32,20)c(32,32,20)*s(32,40,20)t(32,48,28)*t(48,48,12)--
s(24,40,20)c(16,32,12)c(32,32,20)s(24,8,12)t(40,48,20)+-+*
t(40,32,12)t(24,40,28)s(32,40,12)-s(32,24,20)s(40,40,12)--+
s(48,32,20)c(32,24,20)*c(24,40,20)+c(32,24,20)s(40,16,12)-*
s(24,32,28)s(40,24,28)*s(24,16,20)c(24,24,20)*s(16,48,20)+*
s(24,32,20)s(8,40,12)-s(8,24,12)s(48,24,12)+-t(24,40,28)*
t(32,24,20)c(16,48,12)+s(24,24,28)*s(48,40,12)s(48,32,12)++
t(24,32,28)s(32,40,20)-s(24,48,20)+s(24,24,28)*s(16,32,20)*
c(32,32,20)c(24,24,20)s(40,40,28)s(40,24,12)--*t(32,32,20)+
t(24,32,20)s(40,32,28)s(48,48,20)s(32,16,20)c(32,32,12)-++*
s(40,24,28)s(40,40,28)s(40,24,28)*s(32,32,12)--s(24,32,20)-
t(24,40,28)c(16,48,12)s(32,48,20)+s(48,32,20)+s(16,40,12)--
s(40,24,28)c(40,40,20)-s(48,40,20)s(24,32,20)c(16,16,12)-++
c(24,24,20)s(40,40,12)c(24,40,20)s(32,32,28)s(40,48,12)-*+*
s(40,24,20)c(40,16,12)-c(48,16,12)+s(32,24,28)+s(48,16,20)+
s(24,24,28)t(16,24,12)-s(40,32,28)+t(40,32,20)-s(24,40,20)*
s(24,24,28)t(24,32,28)s(48,40,12)+*t(32,32,20)s(32,40,20)*-
c(24,24,12)s(32,40,20)+c(40,32,12)t(32,40,20)+*s(16,24,20)-
s(16,16,20)c(24,32,20)s(16,24,12)-s(16,32,20)*-t(16,16,12)-
s(16,16,20)t(24,24,20)t(24,32,28)s(32,32,20)*c(32,24,12)--+
c(24,40,20)s(8,48,12)-t(24,32,28)*t(32,40,12)-c(40,40,12)+
c(40,40,12)s(16,40,20)+s(24,32,28)s(32,48,12)-s(40,40,28)-*
c(40,40,12)t(16,40,12)+c(32,40,20)c(40,32,20)*s(40,40,20)**
c(32,24,12)t(24,48,28)+t(32,32,28)+s(24,48,12)-c(24,32,20)*
s(40,24,28)s(48,40,20)+t(24,24,20)t(32,32,28)+*s(24,24,28)*
t(24,32,20)c(40,32,12)s(48,24,12)+s(48,24,20)*s(48,40,20)+-
s(40,32,28)s(40,24,28)*s(32,40,28)s(24,40,28)**c(40,40,20)*
s(40,40,28)s(32,16,20)t(32,40,28)s(40,40,28)*-c(40,32,12)+*
c(40,32,20)s(32,32,28)*s(48,8,12)+c(32,32,20)+s(40,32,28)*
c(32,40,12)s(40,32,20)t(32,24,12)-+t(24,40,12)-s(40,16,20)-
t(24,40,20)s(16,32,12)-s(48,24,12)+c(40,32,20)s(40,40,20)-+
t(32,40,20)c(32,40,20)c(40,40,20)+c(24,32,20)*s(40,32,28)**
t(32,32,28)c(40,32,20)+s(32,40,20)*s(32,16,20)s(40,24,20)*+
s(24,40,28)s(32,32,20)*c(32,32,20)s(16,32,20)t(32,48,28)+**
s(24,24,28)t(40,24,20)+s(40,24,20)s(16,16,12)+*s(16,24,20)-
s(40,40,28)s(32,24,20)s(16,24,20)*-s(24,40,12)-c(40,32,20)-
c(48,16,12)t(16,40,12)t(24,40,20)+t(16,48,12)-+c(32,32,28)*
t(24,40,28)c(40,48,12)-s(24,24,20)s(32,32,12)--c(32,48,12)-
t(24,32,28)c(40,16,12)t(32,32,28)s(48,24,20)-+*c(32,40,20)*
c(24,32,20)s(32,48,20)-c(24,32,12)c(40,40,20)+-t(16,56,12)+
s(24,32,28)s(24,40,12)-s(24,32,20)t(32,24,20)-c(40,32,12)+*
s(16,16,12)t(24,40,20)+s(40,24,20)-c(24,16,12)-s(40,48,12)+
s(48,32,20)t(32,32,28)-c(32,48,12)+t(24,48,20)-t(24,56,12)+
s(24,40,12)c(32,24,20)t(48,24,12)-+t(40,32,20)+s(40,24,20)*
c(48,48,12)c(24,32,12)+t(24,56,12)+s(32,24,20)s(24,32,28)*+
s(24,40,28)s(16,40,20)-t(24,40,28)c(24,32,20)*s(40,32,20)+*
s(16,24,12)s(16,40,20)c(32,32,28)*t(24,32,12)-t(16,24,12)-+
s(16,32,12)s(40,48,20)+s(48,16,20)t(32,16,12)-+s(16,48,20)-
s(24,32,28)s(40,16,12)t(24,40,28)+*s(8,8,12)c(40,24,20)+*
t(40,24,20)s(40,16,20)s(40,48,12)s(16,32,20)+c(32,32,12)-+*
t(16,56,12)c(32,32,12)s(40,40,28)c(24,32,12)-++c(32,24,20)-
c(24,24,20)t(32,48,28)c(32,40,20)t(48,56,12)+*c(24,32,20)*-
s(24,8,12)s(16,8,12)+c(24,32,20)+t(24,24,20)-c(32,32,28)*
s(24,24,20)s(24,8,12)+t(24,48,28)-t(24,48,12)+t(32,40,12)+
c(32,32,28)s(16,32,20)s(48,16,20)c(24,32,20)+*s(24,32,20)*-
t(40,48,20)c(48,24,12)+s(32,48,20)s(40,16,20)+t(40,40,20)-*
t(32,32,28)s(40,24,28)*s(16,24,12)+t(32,16,12)-t(32,24,12)-
c(40,40,20)c(48,48,12)-s(48,24,20)c(40,32,12)-+c(32,32,20)*
c(16,40,12)s(24,24,28)t(24,48,28)-s(40,16,20)c(32,32,20)*-+
t(24,48,20)t(32,32,20)s(24,40,28)t(24,56,12)s(24,24,28)+**+
t(32,48,28)t(24,48,20)*s(40,32,20)c(32,48,12)-+s(40,40,12)-
s(24,48,20)s(32,40,28)t(32,32,28)s(40,16,20)--s(40,40,28)*+
c(32,32,20)s(32,48,12)s(48,24,20)+c(40,32,20)*-c(40,32,12)-
s(32,48,20)t(24,48,28)t(24,24,20)s(24,8,12)--*c(32,32,12)-
t(24,56,12)t(32,32,28)+s(32,24,12)c(16,32,12)+s(8,40,12)-*
s(24,32,20)t(24,48,20)s(48,40,20)++c(40,24,20)-s(16,32,20)*
s(24,40,20)t(16,24,12)c(40,32,20)+c(40,16,12)-c(32,32,20)**
s(32,40,28)t(40,32,12)-t(16,56,12)c(48,32,12)t(40,48,12)++-
s(32,32,28)t(40,40,20)-s(16,40,20)s(32,48,20)--s(24,24,28)*
s(32,48,12)s(24,24,20)+c(32,24,20)*t(16,32,12)t(24,32,20)+*
t(24,48,28)s(24,48,20)s(24,24,12)+c(32,32,20)*s(16,24,12)--
c(32,32,20)t(16,16,12)+t(24,32,28)s(32,32,20)c(16,16,12)+*-
t(24,40,28)s(40,32,28)t(32,40,28)s(24,40,28)+*t(40,32,12)-*
c(40,40,20)c(40,32,20)s(16,16,20)s(24,24,28)s(16,32,12)-+-*
t(32,24,20)c(48,32,12)+s(24,48,20)t(32,48,20)*+s(32,48,20)*
c(40,24,20)c(40,32,20)*c(32,32,28)t(24,40,28)s(32,32,28)*-*
t(24,40,20)s(24,16,12)c(24,16,12)c(24,40,12)+t(24,40,20)*+*
s(8,40,12)s(48,40,20)+t(24,48,28)-s(32,40,20)s(24,32,28)*+
c(40,48,12)s(40,32,12)s(48,48,12)+c(32,32,12)+t(40,40,12)-+
s(24,32,28)c(32,32,28)c(40,32,20)c(24,40,12)+-*c(24,32,12)-
c(24,24,20)t(40,56,12)+c(40,32,12)-t(24,32,28)*s(24,24,20)*
s(48,24,20)s(32,24,20)-s(40,48,20)+c(32,16,12)+s(40,24,28)+
c(24,24,12)t(24,48,28)+c(40,24,12)+s(40,16,12)s(40,40,12)+-
c(32,32,20)s(24,48,20)c(40,32,12)t(32,48,20)+*-s(40,24,28)*
s(48,48,20)c(48,40,12)c(40,24,20)+*c(32,24,12)+t(32,32,20)-
t(32,16,12)s(32,32,20)+s(24,32,20)+c(32,40,20)c(32,32,20)**
t(24,48,28)c(48,48,12)t(16,56,12)+s(40,40,28)+*t(24,32,28)-
t(32,32,28)s(48,32,12)t(40,40,12)+-s(32,8,12)-c(32,16,12)+
t(32,32,20)t(32,48,20)s(32,40,20)*-s(24,48,20)c(16,32,12)-+
t(24,48,28)s(16,32,12)-s(24,24,28)s(16,32,20)s(32,16,20)-*-
s(16,32,20)t(24,40,28)s(8,8,12)+t(40,48,12)s(48,40,12)+-*
s(40,32,28)s(48,24,20)s(32,48,20)s(40,16,20)+*-s(16,48,12)+
s(40,40,20)t(32,40,20)c(40,32,20)s(48,16,20)s(32,16,20)*-+*
s(24,24,20)c(24,24,20)t(16,32,12)t(32,32,20)+**s(32,40,28)*
t(32,40,28)s(32,32,20)s(24,40,28)c(16,24,12)s(40,16,20)+*-*
c(16,24,12)s(24,24,28)c(40,40,20)t(16,32,12)+*t(32,32,20)*+
c(32,24,20)t(32,24,20)c(40,48,12)+s(40,16,20)c(32,48,12)+**
s(24,24,20)s(40,32,20)-c(24,24,20)t(24,16,12)-*c(32,32,12)+
s(24,40,20)s(16,40,20)*s(24,32,28)s(24,24,12)-+s(32,48,20)+
t(24,40,28)s(16,48,12)-s(32,16,20)+s(40,32,20)+t(32,24,12)-
s(32,32,28)c(40,40,20)-s(32,16,20)s(40,24,20)*-s(32,24,28)*
t(16,16,12)s(40,24,20)s(32,40,28)t(16,32,12)s(48,16,20)+-++
t(32,40,28)s(16,40,20)*t(40,48,12)t(24,32,20)+s(32,48,20)*+
s(24,48,12)c(40,40,20)c(24,48,12)-+s(32,32,28)+t(48,32,12)-
c(40,32,20)c(32,32,20)c(24,24,12)s(32,48,12)+s(40,32,20)++*
s(32,16,20)s(32,32,20)s(40,48,12)-c(16,48,12)++s(32,40,28)*
s(24,32,20)s(16,16,20)t(40,48,20)+c(48,48,12)c(40,40,12)+--
s(40,40,28)s(32,32,20)c(32,24,20)s(24,32,28)*c(32,16,12)+**
c(24,48,12)c(40,24,12)+s(24,32,28)*c(40,48,12)s(40,24,28)+*
t(24,32,28)t(32,32,12)-t(40,48,20)c(32,32,28)*+s(48,24,12)+
t(16,56,12)t(16,40,12)+c(40,32,12)t(24,16,12)t(32,16,12)+++
t(32,40,28)s(24,16,20)s(32,8,12)-s(24,32,28)s(24,24,28)**+
s(40,24,20)s(24,32,28)t(24,40,28)*c(32,32,20)*+s(40,32,28)*
s(32,32,28)c(40,24,20)*t(24,32,28)t(32,16,12)t(32,40,28)+**
t(32,48,20)t(24,32,20)c(24,40,20)s(48,48,20)-t(32,32,28)---
t(24,40,28)s(32,32,28)*s(24,8,12)+t(40,32,20)c(32,24,20)*+
s(16,48,20)t(24,56,12)-s(16,32,20)t(32,32,28)-+s(16,48,20)*
s(48,40,12)c(48,48,12)s(24,16,12)++t(24,56,12)c(24,16,12)+-
c(48,32,12)s(32,24,28)s(48,40,12)-c(24,32,12)-t(48,56,12)++
s(24,24,28)c(24,32,20)s(24,32,28)t(40,24,20)s(24,24,20)+*--
t(32,40,28)c(32,16,12)s(24,48,20)c(16,32,12)-+c(40,40,20)--
s(32,48,20)c(32,32,20)t(32,40,28)s(40,32,28)**c(24,24,12)-*
c(40,32,12)t(32,32,28)s(24,48,20)t(24,16,12)+-s(32,32,28)*+
s(24,48,20)s(48,48,20)-s(8,16,12)s(16,40,20)s(24,32,28)*+*
t(16,32,12)c(24,24,12)s(16,24,20)s(32,24,12)+s(24,40,28)-++
s(8,8,12)t(24,32,20)t(48,48,12)++t(40,40,12)+s(40,40,20)-
s(40,32,28)s(48,48,20)*t(24,40,20)+t(32,24,20)-s(24,40,28)+
s(24,24,20)t(24,32,28)s(48,24,12)t(40,56,12)+c(24,40,12)+-*
c(40,32,20)s(32,24,20)c(32,40,20)*s(32,16,12)+s(24,40,28)**
t(48,56,12)s(16,48,20)+s(24,48,20)s(8,40,12)-s(24,32,20)-+
s(32,24,20)s(48,8,12)t(48,32,12)++s(32,48,20)-c(24,40,12)+
t(24,40,20)c(40,24,12)t(16,48,12)++s(24,48,12)t(24,24,20)+*
s(48,40,20)c(40,24,12)+t(40,24,12)-c(32,32,20)s(40,24,28)*-
s(48,32,20)t(40,24,20)+s(40,16,12)s(32,40,12)+t(24,48,28)--
s(40,24,28)t(48,24,12)-s(24,32,28)*t(24,32,28)s(16,32,20)*-
s(32,32,28)c(24,24,20)t(24,40,28)-*s(16,16,20)+s(40,48,12)+
s(8,40,12)c(40,40,20)s(40,24,20)c(24,16,12)-*+s(32,40,28)+
s(8,32,12)s(32,16,12)s(8,24,12)++s(48,16,20)t(40,24,12)--
t(48,56,12)s(32,16,20)s(32,48,20)+t(32,40,28)*+s(32,40,28)*
c(40,24,20)s(24,24,28)c(48,16,12)++c(16,32,12)t(16,40,12)+*
s(24,32,28)s(48,48,20)+s(48,40,20)t(48,24,12)-t(24,40,28)-*
c(24,32,20)c(40,40,20)+s(24,32,28)*t(40,16,12)s(16,48,20)+*
t(24,32,28)c(24,24,12)-t(32,24,12)+t(40,32,20)+s(32,32,12)-
t(32,40,28)s(24,24,28)s(40,32,28)s(16,48,20)-s(40,48,12)---
c(32,24,20)s(24,40,28)s(24,16,20)s(16,24,20)*-c(40,40,12)+*
c(32,32,20)c(24,48,12)-s(40,40,20)s(16,32,12)+s(32,40,28)**
s(32,32,28)s(16,40,20)t(16,24,12)+s(48,32,20)c(24,16,12)+-*
s(8,32,12)t(24,48,28)s(32,32,28)s(24,16,12)-s(48,16,12)--+
s(40,48,20)c(32,40,20)s(16,48,20)-t(32,40,28)*-t(40,48,12)+
c(24,48,12)t(40,16,12)+c(40,24,20)s(40,24,28)s(24,24,28)**-
c(24,32,20)s(32,24,20)t(40,56,12)+*s(32,16,20)s(48,16,12)++
c(48,16,12)s(32,32,28)s(48,8,12)s(40,40,12)+-t(40,16,12)-+
c(40,40,20)t(24,32,20)c(32,32,20)s(48,24,20)-+c(40,32,20)*-
s(40,40,28)s(16,48,12)s(16,32,20)+t(24,48,28)*-t(40,32,20)-
s(40,40,12)s(16,40,12)s(32,16,20)+c(24,32,20)*c(32,24,20)*+
c(32,40,12)s(40,16,12)+s(32,48,12)-c(40,24,20)s(32,40,12)-+
c(40,24,20)s(24,16,20)c(32,32,20)s(32,40,28)*+*s(32,24,20)*
t(32,48,12)s(48,16,20)+t(32,40,20)+s(40,8,12)-c(32,40,12)-
s(32,48,12)t(24,32,28)t(32,48,12)+c(24,40,12)-+t(24,32,20)-
s(40,48,12)c(48,16,12)s(24,40,20)+s(48,24,12)-+s(24,24,28)-
c(24,32,20)s(48,16,12)t(24,48,28)+*s(48,48,20)+t(24,16,12)+
c(24,40,20)c(48,24,12)t(40,24,20)+s(48,16,20)s(32,8,12)-*+
c(32,32,12)s(40,16,12)+c(16,48,12)s(40,8,12)+c(40,32,12)+*
s(16,16,12)s(40,16,20)+s(16,16,20)s(24,24,28)*t(32,48,12)+*
s(48,32,20)c(24,24,20)c(32,40,20)*c(16,48,12)+s(8,48,12)--
t(24,40,20)t(24,48,20)+s(16,16,20)+s(16,40,20)-t(32,16,12)+
c(32,40,12)c(32,32,12)+t(24,40,28)s(24,32,20)--t(24,24,12)-
c(24,40,20)t(48,56,12)+t(16,48,12)s(40,48,12)+*s(48,32,12)+
s(48,24,20)c(40,16,12)t(16,40,12)s(48,24,12)++c(24,40,12)-*
s(48,32,20)s(32,16,20)s(24,32,20)+s(24,48,20)*+t(24,40,28)*
s(40,24,28)c(24,40,20)s(32,40,20)*+t(40,32,20)-t(32,24,20)-
s(16,48,20)s(48,8,12)s(40,32,28)s(24,32,28)*++s(24,32,20)*
c(32,32,20)s(24,24,20)t(24,32,20)*-s(40,16,12)-c(24,24,20)-
t(16,56,12)s(16,32,20)t(24,40,20)-c(32,24,12)-+s(24,32,28)*
c(16,48,12)s(48,40,20)+c(24,40,20)*c(24,16,12)c(24,32,20)+*
s(32,32,12)c(32,16,12)+t(24,32,28)*c(16,16,12)+t(24,32,28)*
s(16,16,12)c(40,24,20)t(24,40,20)-t(40,16,12)s(48,8,12)+-+
c(24,24,20)s(32,40,12)-s(32,40,20)c(48,48,12)+s(8,24,12)+-
s(16,16,20)s(40,32,28)-s(16,40,20)t(24,48,12)c(32,24,20)++-
t(32,24,12)c(32,16,12)s(16,48,20)c(24,40,20)*+c(40,40,20)-+
t(32,40,28)s(24,32,20)s(32,24,20)c(24,24,20)*-+t(32,32,28)*
s(48,16,20)s(32,32,20)+s(40,24,12)-t(16,56,12)s(40,48,20)+-
c(32,24,12)c(24,24,20)s(24,32,20)c(32,32,20)s(40,24,20)*-*+
c(24,32,20)c(16,40,12)t(32,48,20)+t(48,24,12)+s(48,16,20)-*
t(16,24,12)c(32,24,12)+c(48,24,12)-s(24,32,20)*t(32,16,12)+
s(16,24,20)c(32,32,28)s(16,8,12)s(32,40,12)+*-s(24,40,28)*
c(48,48,12)c(40,32,20)+s(48,40,20)*c(32,40,12)+s(48,16,20)+
s(48,32,20)t(24,32,28)+s(24,24,20)+s(16,24,20)*c(40,32,20)-
s(24,16,12)t(32,32,28)t(16,16,12)+s(16,24,12)-+s(24,40,20)*
t(32,32,28)s(40,32,28)+t(24,48,20)+t(48,40,12)t(16,16,12)+-
s(32,32,20)s(32,40,28)s(40,40,28)s(24,48,20)-*c(40,48,12)+*
c(32,24,20)s(32,32,28)s(32,40,28)*s(24,40,12)s(16,16,20)+*+
s(48,32,20)s(32,40,28)c(32,24,20)s(40,24,20)**c(24,16,12)--
c(32,16,12)s(48,16,20)s(40,24,20)*+s(48,32,12)c(32,32,12)+-
s(48,48,20)s(8,16,12)s(24,16,20)s(32,24,12)-++s(8,8,12)-
s(8,48,12)t(32,48,28)+s(24,16,20)s(32,24,28)c(40,32,20)-*+
s(32,40,20)c(32,32,28)c(32,16,12)-t(16,40,12)-s(48,48,12)-*
s(32,16,20)s(24,40,12)+c(32,32,20)*c(24,48,12)+t(24,48,28)*
s(32,32,20)t(40,16,12)+s(24,48,20)-t(40,32,12)s(32,8,12)+-
s(32,24,20)s(32,16,20)*t(40,48,20)+t(24,48,20)+t(32,48,20)-
c(32,24,20)t(32,48,20)+s(24,40,20)t(32,56,12)t(24,40,28)+**
c(40,24,12)s(32,40,12)t(32,48,12)s(24,32,12)+++s(24,48,12)-
t(48,48,12)c(40,16,12)+s(8,40,12)+s(48,32,20)c(48,32,12)--
s(40,24,20)t(32,48,28)c(40,40,20)*c(16,40,12)t(32,48,12)+--
s(32,32,28)t(24,48,12)c(32,24,20)+*c(32,32,20)+s(48,32,20)*
c(32,32,28)s(24,16,20)-s(24,32,12)-t(32,48,20)c(32,24,20)+*
c(24,24,20)t(24,24,20)-s(16,16,20)+s(40,24,28)*s(48,16,20)+
t(24,24,20)c(24,24,20)t(40,24,20)-c(16,24,12)-+s(40,24,20)+
t(32,48,28)s(16,48,20)-t(24,40,28)t(40,16,12)+s(24,48,12)-+
s(40,40,20)s(32,40,20)s(24,16,20)s(32,32,20)s(24,40,28)*+**
s(40,24,20)s(40,40,20)s(24,24,20)s(32,40,20)t(24,48,28)*+*-
s(32,16,20)s(40,32,20)t(32,48,20)-s(48,40,20)s(24,24,28)+*-
t(32,48,20)t(24,24,20)t(24,48,12)+s(32,32,20)*-c(24,48,12)+
c(40,24,20)s(32,24,20)+c(40,32,20)+t(32,40,28)s(40,32,28)**
t(48,56,12)s(24,32,12)+c(40,32,12)+c(40,32,20)*s(32,24,20)*
c(16,48,12)s(32,24,28)s(24,40,12)-s(40,32,28)*c(16,16,12)-+
s(24,16,20)t(32,32,20)+s(48,48,20)+s(24,32,28)s(40,40,20)*-
s(16,24,20)s(16,32,12)s(40,40,20)s(40,48,20)*t(24,48,20)-++
s(32,32,28)t(24,32,12)-s(40,24,28)*c(40,24,20)*c(24,24,12)+
c(32,40,12)s(40,32,20)t(32,40,12)-s(32,24,12)-+t(32,16,12)+
t(32,40,20)s(32,48,20)*s(24,32,12)+s(24,40,20)*t(16,24,12)-
s(24,32,28)c(32,32,12)-s(40,16,20)-c(16,40,12)c(32,48,12)+*
t(24,40,28)t(40,40,20)s(24,40,20)+*c(32,32,20)s(16,40,20)--
t(32,32,28)s(40,40,20)s(40,32,20)t(40,16,12)-**t(48,16,12)+
c(40,32,20)s(40,24,28)s(16,8,12)+*c(24,32,12)-t(24,32,28)-
t(32,32,28)s(16,32,12)s(40,8,12)+-s(24,24,28)c(24,40,20)*-
t(32,40,20)t(48,24,12)s(32,16,12)++c(24,48,12)-c(32,24,20)*
t(32,32,28)t(24,40,28)*s(8,32,12)+s(32,40,20)c(24,40,20)*-
s(24,40,28)t(24,24,12)-c(24,32,20)t(24,48,28)-*s(24,24,20)+
c(32,24,20)t(24,48,28)s(16,32,20)c(32,40,20)t(24,40,28)*+*-
s(40,32,28)c(32,24,20)c(24,24,20)+s(40,40,20)+s(48,24,20)*-
s(48,48,20)s(32,24,28)s(40,16,20)--t(24,32,12)+s(32,16,20)+
c(16,16,12)c(48,16,12)+s(24,32,12)+t(48,40,12)+c(40,32,12)+
s(32,48,20)s(40,16,12)c(16,24,12)s(40,24,12)++s(48,32,12)-+
s(24,24,20)s(32,32,20)t(24,40,28)+c(32,40,20)s(48,32,12)---
s(24,40,28)c(24,32,20)c(32,24,20)*c(16,40,12)-s(40,16,20)+*
s(40,48,12)c(32,48,12)+c(32,32,20)t(24,32,28)*s(24,40,20)*+
c(40,40,20)c(40,32,20)c(24,24,20)s(40,16,12)-s(32,32,28)*+*
s(32,16,20)s(48,32,20)t(32,40,12)-s(40,40,20)--s(16,32,20)-
s(48,24,20)t(40,40,20)+s(40,48,20)+c(32,32,12)-c(48,16,12)-
s(24,40,20)t(40,40,20)s(32,40,20)t(24,32,28)*+*t(32,40,20)*
s(24,24,20)s(8,8,12)t(24,40,20)c(16,48,12)++s(32,40,20)*+
t(48,24,12)s(16,40,12)+c(32,32,20)s(48,40,20)s(32,16,12)+*-
s(8,24,12)s(8,8,12)+s(24,24,28)c(40,24,12)t(24,48,28)+*+
t(32,48,28)c(24,24,20)+t(32,40,28)-c(40,24,20)s(48,8,12)--
s(24,40,20)s(16,16,12)c(24,40,20)t(40,48,12)-+s(16,32,20)**
c(32,32,20)c(48,32,12)-c(40,32,20)*s(16,16,20)+t(32,48,28)-
s(16,32,20)c(24,32,20)s(24,16,20)-*c(32,40,20)+s(40,24,20)-
s(24,24,20)c(32,32,12)s(48,16,20)++s(24,40,28)s(32,48,20)+*
c(24,40,20)s(24,40,12)c(48,16,12)+s(24,48,12)--t(32,16,12)+
s(16,40,12)c(40,24,12)c(24,24,12)++s(40,24,28)*s(32,40,28)*
c(24,32,12)c(40,24,12)t(24,16,12)+s(32,32,28)s(16,16,20)-*+
s(24,24,28)s(24,32,28)t(32,48,20)t(48,48,12)+t(24,48,28)+*-
t(16,32,12)c(32,32,20)c(40,16,12)-s(40,32,28)*+s(40,32,28)*
t(24,32,28)c(24,40,20)c(24,32,20)**s(24,24,28)*t(40,24,20)-
s(32,16,20)t(24,48,12)+c(48,16,12)+s(16,32,20)c(32,32,20)*-
s(40,48,20)s(32,40,28)+c(24,16,12)+t(40,40,12)c(16,32,12)+-
t(24,40,28)s(16,40,12)c(40,40,20)+*s(24,32,28)*s(24,24,28)*
s(16,24,20)c(32,32,28)*s(16,16,12)t(40,16,12)+t(24,32,20)-+
t(32,32,20)c(40,24,20)c(40,40,12)+*s(24,16,20)s(40,24,28)*+
s(24,24,28)t(16,40,12)s(24,24,20)+-t(32,32,12)+t(32,32,28)*
t(32,48,28)s(24,32,28)c(32,24,20)s(40,16,20)*-s(32,48,20)**
s(24,32,20)s(40,40,12)s(24,40,28)t(32,40,28)*t(32,32,28)*++
s(40,24,28)s(32,40,12)-c(24,40,20)-t(40,32,12)+s(48,24,20)*
t(24,40,20)s(16,16,12)+s(40,40,28)s(40,48,20)--s(8,8,12)-
t(16,40,12)c(32,32,20)s(40,40,28)*+c(16,40,12)c(24,24,12)+*
c(40,32,20)s(40,24,28)*s(24,24,28)*s(16,32,20)+s(48,40,20)-
t(40,24,12)s(16,48,12)+s(48,40,20)s(24,32,28)-s(32,32,12)+-
t(32,40,28)s(40,32,20)*s(24,24,12)+c(40,24,20)c(24,32,20)**
s(40,40,20)s(40,40,20)c(32,32,20)c(24,32,20)**t(16,24,12)+*
s(24,16,20)c(32,16,12)-s(40,40,28)s(24,8,12)s(48,16,20)+--
s(32,40,20)s(40,16,20)+s(40,16,20)s(24,40,28)--s(40,32,12)-
s(16,24,12)c(24,32,12)s(32,8,12)++c(40,24,20)s(24,32,28)*-
s(40,32,28)s(16,16,12)s(48,24,12)+-s(32,16,20)c(32,32,20)*-
s(32,24,28)t(32,48,28)s(24,48,20)s(32,40,20)*t(32,32,28)+*-
s(48,24,20)c(16,48,12)+c(40,40,12)-s(48,48,12)+s(40,32,28)*
c(32,32,20)t(32,40,28)*s(48,24,12)t(24,40,20)s(32,40,12)+++
s(40,24,20)t(32,40,28)-t(32,40,28)+t(24,48,28)*t(40,48,20)+
t(32,48,28)t(32,32,28)t(24,40,20)s(40,48,12)-s(48,32,20)+*-
t(32,40,28)t(32,24,12)-s(32,40,20)*s(48,48,20)s(32,48,12)+*
t(24,32,20)s(32,32,20)s(32,32,20)s(48,40,20)+c(32,40,20)**+
s(8,24,12)s(40,32,28)s(24,24,20)-+t(32,32,20)-s(40,40,20)*
t(40,24,20)s(24,16,12)+c(24,24,20)t(24,48,28)++s(24,40,28)*
t(24,48,12)s(32,24,28)+c(40,32,20)s(32,48,20)-c(24,32,20)+*
c(24,32,20)s(40,24,12)c(24,16,12)+*s(48,40,12)+c(32,32,20)*
s(32,40,28)t(16,32,12)s(40,24,28)+*t(32,48,20)-s(24,40,28)*
s(24,40,28)t(32,32,28)-c(24,16,12)+c(24,48,12)t(48,16,12)++
s(40,16,20)s(16,32,12)+c(32,24,20)t(16,32,12)-s(40,8,12)-*
s(40,24,20)t(32,56,12)c(32,32,20)c(32,24,20)c(40,40,12)+*+*
s(24,24,20)t(32,32,12)t(32,24,20)t(32,48,28)t(16,56,12)--+*
s(32,24,28)c(32,32,28)s(40,48,12)t(40,24,20)c(32,32,20)*+-*
t(32,40,20)c(24,24,12)+t(40,48,12)s(16,24,20)t(16,56,12)+++
s(24,48,20)s(32,40,28)s(48,40,12)t(24,48,28)+**s(48,40,20)-
c(40,40,20)s(48,24,20)-s(8,16,12)t(32,48,28)+*s(16,48,20)-
s(16,32,20)t(32,48,20)c(40,40,20)t(48,56,12)-c(24,40,20)*+-
c(24,40,20)c(32,32,12)s(32,32,28)c(40,32,20)c(24,40,12)-*+-
c(32,24,20)s(40,16,12)-c(16,32,12)+s(40,24,20)-t(32,48,12)+
s(48,8,12)c(40,40,20)s(32,24,20)-+c(24,40,20)t(48,40,12)+-
t(24,48,28)t(48,24,12)+t(32,32,28)s(24,32,28)s(40,16,20)-*-
t(40,24,12)s(48,8,12)+c(24,32,20)+c(32,24,20)*s(24,32,28)*
t(48,16,12)t(32,48,28)s(40,48,20)t(32,40,28)*-+s(40,32,28)+
s(40,32,28)c(24,48,12)-s(32,24,12)t(24,40,12)+t(40,16,12)-+
c(24,32,20)s(40,32,28)*s(16,16,20)+c(32,32,28)s(32,24,12)--
c(24,48,12)t(32,32,28)s(16,32,20)+s(32,24,28)s(40,32,20)**+
s(16,16,12)s(24,32,20)+t(48,24,12)t(24,40,28)+t(32,48,12)-*
s(40,24,20)c(32,32,20)s(24,48,20)*s(48,24,20)+c(24,48,12)-*
s(40,32,20)s(24,40,28)t(32,32,28)+s(24,24,20)s(32,32,28)**-
c(24,40,20)c(24,24,12)t(24,32,20)+c(40,32,12)-+s(40,32,28)*
t(32,48,20)c(16,32,12)+t(24,32,28)-t(24,24,12)+c(32,48,12)+
s(32,16,12)t(24,32,20)t(32,24,12)++s(40,24,28)t(16,16,12)+*
t(40,56,12)s(40,40,28)c(32,32,20)*+t(40,24,20)t(40,40,20)-+
t(24,48,28)s(40,48,20)-t(48,24,12)+c(16,16,12)+c(16,32,12)-
t(16,48,12)s(24,32,12)+c(32,24,20)s(24,32,28)*s(48,24,20)++
t(32,48,28)c(48,16,12)+t(32,40,28)s(40,32,20)++s(16,48,20)*
c(40,32,20)s(32,40,28)t(24,48,28)*c(32,32,20)c(40,16,12)-*+
t(32,40,28)s(40,32,28)t(32,48,28)c(24,40,20)*+s(48,48,20)*-
t(32,48,28)c(24,24,20)t(32,48,28)+s(24,48,20)c(32,24,20)--*
s(48,40,20)t(32,32,20)-t(40,48,20)c(32,32,20)s(32,24,20)*-+
c(24,24,12)t(40,16,12)c(32,40,12)+c(32,24,12)++s(16,32,20)*
s(24,40,20)c(40,40,20)c(32,32,28)s(32,16,20)*t(32,32,20)+*-
s(32,24,28)c(48,32,12)-t(24,56,12)+s(32,8,12)-t(32,40,28)*
t(24,32,28)c(24,32,20)s(48,16,20)-c(32,24,20)s(32,40,20)*-*
s(8,24,12)s(16,40,20)c(16,48,12)-+c(48,48,12)+t(40,40,20)+
c(40,24,20)s(32,24,20)s(48,24,20)+*s(16,48,12)c(24,16,12)+-
s(8,8,12)s(48,16,20)s(40,16,12)t(32,40,28)+s(48,24,20)*-+
c(24,24,20)c(24,32,20)s(32,24,20)t(32,48,28)-*-s(16,24,20)*
s(32,24,20)s(24,32,20)t(32,24,20)+s(48,48,20)s(40,24,20)+**
s(24,40,20)s(24,40,28)c(32,40,20)**s(32,32,20)c(16,40,12)+*
c(32,32,20)t(32,48,28)t(40,32,20)--s(24,32,28)s(40,24,20)**
s(16,16,20)s(16,32,20)s(40,24,20)s(48,24,12)c(16,24,12)++*-
s(40,16,20)c(32,32,20)s(24,48,20)s(32,16,12)+s(16,40,20)*--
s(40,40,28)s(32,48,12)-s(24,32,28)s(16,24,12)-s(32,24,28)*-
c(32,32,28)s(16,8,12)s(48,16,12)+s(32,48,12)+*c(32,40,12)+
s(32,24,20)s(24,40,20)c(24,32,12)s(16,48,20)+t(32,40,28)---
t(32,32,28)s(8,48,12)+c(24,24,12)c(24,24,20)s(40,40,20)-+*
s(40,48,20)c(16,16,12)+c(32,32,28)s(16,32,20)*-t(24,40,28)-
s(8,8,12)c(16,16,12)s(16,32,20)s(16,24,12)-++c(24,40,20)*
t(48,24,12)t(32,32,28)+s(48,48,12)+t(24,24,20)-s(40,32,28)*
c(32,40,20)s(32,48,20)c(16,24,12)s(32,24,20)+t(32,24,20)--*
c(40,40,20)c(40,32,20)t(40,24,12)s(24,16,12)+-*s(40,32,12)-
t(24,32,28)s(16,24,12)s(48,48,20)t(24,32,28)c(40,40,20)*++*
s(8,16,12)s(16,40,20)c(40,40,20)t(32,40,28)c(32,32,12)---+
s(32,32,28)s(48,40,12)c(40,16,12)+*s(16,40,20)s(48,8,12)+-
t(24,40,28)t(24,32,28)*s(48,8,12)+s(16,40,20)s(16,48,20)*+
s(16,40,20)s(40,32,20)+t(24,40,28)*s(32,40,28)*t(24,24,12)+
t(32,48,28)t(24,40,20)s(32,32,12)-+s(32,40,28)*t(32,32,20)-
t(16,16,12)s(32,8,12)s(24,8,12)++s(48,24,20)s(24,40,20)+-
s(24,48,12)c(48,16,12)+c(48,40,12)+t(32,32,28)s(40,24,28)+*
c(32,24,20)c(24,32,12)t(40,32,20)+*s(32,40,28)t(24,48,28)*+
c(32,32,28)c(24,40,20)-s(32,16,20)+s(32,40,20)c(48,32,12)--
s(24,32,20)c(32,32,20)+c(40,32,20)s(32,40,20)c(32,32,20)**-
s(32,24,28)t(24,40,20)-t(32,48,20)s(24,32,28)+-s(40,24,28)*
s(40,40,28)c(40,24,20)*c(16,32,12)s(40,24,28)s(24,16,20)*+-
s(8,40,12)s(24,32,28)s(40,32,28)t(24,40,20)-*+s(8,16,12)+
c(40,40,20)t(32,32,28)+s(48,48,20)s(40,24,28)t(32,40,20)-+-
t(32,16,12)c(32,32,20)s(40,16,12)s(32,24,20)c(32,40,20)*+*+
s(40,40,20)t(24,16,12)s(32,40,12)++s(24,24,28)t(32,48,12)+*
s(32,16,20)t(40,48,20)s(24,16,20)s(40,24,20)-+-c(48,32,12)-
c(32,32,28)t(40,32,20)-c(40,24,20)s(24,24,28)*t(40,56,12)+-
c(32,16,12)c(24,40,20)s(24,32,28)*c(32,32,20)*+s(24,32,20)*
t(32,32,28)s(16,40,20)+c(32,40,20)+c(24,32,20)c(40,24,12)--
t(24,48,28)t(32,32,28)s(32,40,28)c(24,32,20)*+s(16,40,20)**
c(32,32,28)s(16,16,20)s(32,48,20)+*s(48,40,20)t(40,48,20)+*
s(24,32,20)s(32,40,20)s(24,48,12)-+c(40,32,20)*s(16,48,20)+
s(32,32,20)t(32,48,28)s(24,48,20)*c(40,40,20)s(48,16,12)++*
s(48,32,20)c(48,24,12)t(24,32,20)t(40,56,12)++c(24,16,12)+-
c(24,48,12)t(32,32,28)s(32,32,20)s(40,24,20)++s(32,16,12)-+
s(32,40,20)t(32,32,28)c(32,32,20)t(24,24,12)-c(32,24,20)***
c(32,40,20)t(32,48,28)s(40,32,20)t(24,32,20)+-s(40,48,20)+-
s(24,32,28)s(40,40,28)*s(32,24,20)s(40,40,28)*s(48,16,20)+*
s(24,24,28)t(16,56,12)+s(32,24,28)t(40,32,12)-*t(32,16,12)-
c(40,32,20)t(24,32,12)-s(48,24,12)-s(40,32,20)+t(32,24,12)-
s(24,40,28)t(40,56,12)s(8,24,12)+-s(40,40,28)t(32,48,12)-*
s(24,40,28)t(24,32,28)s(32,8,12)+s(24,24,20)t(16,40,12)+*-
c(40,32,20)s(40,24,28)*s(48,48,12)+s(32,48,12)s(40,24,28)++
c(40,32,20)t(24,56,12)s(40,24,20)s(32,40,12)+s(24,32,28)*+*
t(24,48,20)s(16,8,12)+s(32,32,28)t(24,24,12)-+c(40,16,12)-
s(40,24,20)s(48,16,20)+s(24,24,28)c(32,32,28)*-s(40,32,20)-
c(32,32,28)s(48,16,20)-s(32,48,12)-t(24,48,20)c(40,16,12)++
s(24,24,28)c(32,40,20)t(24,32,28)*t(24,40,12)--t(16,16,12)-
c(48,16,12)s(16,16,20)s(16,24,12)-s(24,48,12)++t(32,24,20)-
c(24,32,20)s(24,16,20)c(40,40,12)++s(40,24,20)*t(40,40,12)-
s(24,40,20)t(24,48,28)t(40,16,12)c(40,24,12)++*s(24,32,20)*
s(32,16,20)s(32,24,20)s(48,32,20)c(48,48,12)-c(32,40,12)--*
c(40,32,20)t(24,48,20)+s(24,32,28)*t(40,16,12)-c(40,32,12)-
s(8,48,12)t(40,24,12)+s(40,24,20)+t(24,32,28)-c(32,32,20)-
c(32,24,20)s(24,48,20)-s(32,48,20)c(32,24,20)-+s(40,32,20)*
s(40,40,28)s(16,32,20)s(40,24,20)+s(24,24,20)s(40,24,28)*--
s(32,40,20)c(24,32,20)*s(32,32,20)s(32,48,12)-s(24,32,28)**
t(24,24,20)t(48,40,12)+c(24,40,20)s(16,48,20)*+c(40,24,20)*
s(40,40,20)c(24,40,20)c(24,40,20)s(16,32,20)*s(40,32,28)+**
s(32,40,28)s(48,48,20)-s(40,40,28)s(32,32,28)t(32,32,12)---
c(40,32,20)s(32,32,28)*t(32,40,12)-s(24,32,12)-t(32,40,28)+
c(32,24,20)t(32,40,28)s(40,40,20)+s(16,48,20)c(32,24,20)+*-
c(32,32,28)s(24,48,20)*s(24,40,12)s(48,48,12)+-c(40,40,20)+
s(32,16,20)t(24,40,28)-s(24,40,20)s(32,32,20)+t(32,24,20)*-
s(32,32,28)c(40,24,20)s(48,48,20)t(32,48,12)-+*t(32,32,20)*
s(32,16,20)s(32,48,12)+c(24,32,12)+t(24,40,28)-t(16,56,12)+
c(40,32,20)s(48,24,20)s(40,32,28)s(16,32,20)s(24,24,28)*-+*
s(16,8,12)s(32,32,28)+s(40,32,28)*t(32,48,28)-s(32,40,28)*
s(32,32,20)t(32,40,28)s(32,40,12)-s(32,40,20)+s(24,32,28)**
c(32,32,20)t(48,48,12)+s(40,24,20)t(16,48,12)+*s(16,24,20)-
c(16,24,12)c(32,32,20)s(40,40,28)*s(48,40,20)*+s(32,32,20)*
c(24,32,20)c(32,40,12)s(24,16,20)++c(24,40,20)*t(24,40,28)*
s(32,24,20)s(48,24,20)c(24,24,12)+c(24,40,20)s(40,32,20)+**
c(48,40,12)s(40,16,20)+c(24,32,20)t(24,48,28)s(40,32,20)+*-
t(24,24,20)s(8,24,12)-c(24,40,20)s(24,32,20)t(24,32,28)**+
c(48,48,12)s(32,32,20)+t(40,24,12)-s(8,24,12)+c(40,40,20)*
t(32,40,20)c(40,16,12)s(8,48,12)+c(32,48,12)+s(40,24,28)+*
t(24,32,28)s(40,24,28)c(32,40,20)-t(40,32,20)c(32,48,12)--+
t(24,40,28)s(16,48,20)s(32,48,20)-+s(48,40,12)s(40,48,12)+-
t(32,32,28)s(16,32,20)s(16,16,20)*+c(40,40,12)c(16,24,12)+-
c(32,32,20)s(40,32,28)t(40,40,12)-*t(24,24,12)-s(16,32,20)-
s(40,40,28)c(32,32,20)s(40,16,20)*-t(24,32,28)c(16,48,12)--
s(32,32,20)t(40,24,20)+s(16,32,20)s(16,24,20)*t(24,48,12)+-
s(24,8,12)t(40,48,20)s(32,48,20)*+c(48,16,12)+s(40,16,20)*
s(32,24,20)t(32,24,12)-t(24,40,28)s(24,48,20)s(16,40,12)--+
c(48,32,12)t(24,16,12)+s(16,24,20)s(48,40,20)+*c(16,16,12)-
t(32,32,20)s(32,40,28)c(32,24,12)-s(40,32,28)*+c(24,48,12)-
c(24,40,20)s(24,32,28)*t(40,32,20)-s(24,8,12)+t(40,40,20)-
s(40,24,28)s(24,16,12)-s(48,40,20)*t(24,40,28)c(48,24,12)++
t(40,48,20)t(16,56,12)t(24,40,12)s(16,24,20)+s(8,40,12)-++
s(48,48,12)c(24,40,12)+c(40,32,20)s(24,48,20)-s(24,40,20)-+
t(32,32,20)s(40,40,28)c(24,32,20)**s(32,24,28)s(16,24,20)*+
t(24,24,20)c(40,32,20)s(48,16,20)-+s(24,40,20)+c(48,32,12)-
t(40,40,12)s(32,16,20)s(32,32,28)t(24,24,20)--+s(32,32,20)*
s(32,24,28)s(48,16,12)-c(48,48,12)s(24,32,20)+-t(16,16,12)-
t(24,32,12)s(40,24,28)s(40,40,12)-s(32,16,20)-t(24,48,12)++
s(24,40,20)t(24,40,28)s(24,32,28)s(16,40,12)-t(32,40,28)**-
s(40,40,28)s(24,32,28)s(24,24,20)s(16,40,12)---s(48,24,20)*
t(24,32,28)t(32,40,12)-s(40,40,20)s(16,32,20)-c(24,48,12)--
s(32,40,28)s(24,48,20)t(32,16,12)+t(32,40,20)s(24,24,28)+**
t(24,32,28)c(48,16,12)+s(16,24,20)-c(24,40,12)-t(32,32,12)-
s(32,32,28)s(24,40,28)t(24,24,12)-+s(16,16,20)-t(24,40,12)-
s(32,16,20)s(48,16,12)-c(32,32,20)t(40,40,12)-+t(24,32,28)-
s(40,40,28)c(40,40,12)s(24,40,20)s(16,32,20)*+t(32,40,12)-*
s(24,8,12)s(40,16,20)c(40,32,20)*c(40,40,12)+t(24,40,28)-+
s(40,16,20)s(16,16,20)c(24,40,20)c(32,24,20)c(32,40,12)-+*-
t(24,40,28)s(24,24,28)*t(32,40,28)s(48,40,20)-c(16,32,12)--
c(32,32,28)t(32,40,28)t(24,32,20)-s(24,16,20)--s(48,16,20)+
c(24,32,20)c(32,24,20)s(24,16,20)++s(24,24,20)t(24,48,20)+-
s(40,40,20)s(32,32,28)c(40,24,12)c(32,40,20)+**t(40,40,12)-
c(40,40,12)t(32,32,20)s(24,8,12)+t(24,24,12)-+s(24,40,12)-
c(32,32,20)t(32,32,20)t(32,16,12)-t(16,48,12)+t(24,40,28)*-
s(24,40,20)s(32,40,20)s(40,32,20)t(32,16,12)-c(32,32,20)**+
s(8,32,12)s(16,16,12)s(40,32,12)+t(32,48,20)-+t(24,40,28)-
c(24,24,20)c(16,24,12)s(8,48,12)+c(16,16,12)-t(24,24,12)-+
c(40,24,20)s(40,16,20)s(24,16,20)s(24,24,20)c(40,24,20)*--*
t(24,40,28)s(32,32,28)*s(40,40,28)s(40,48,12)-c(40,32,20)+*
s(24,48,20)c(32,32,28)s(48,32,12)-s(16,24,20)*-c(32,32,28)*
s(40,32,12)c(24,40,20)+s(16,24,20)-s(32,40,20)c(32,24,12)-+
s(24,48,20)t(40,32,20)s(8,16,12)+-c(40,48,12)t(16,48,12)++
s(24,48,20)c(40,40,20)s(32,48,20)c(16,32,12)-*t(32,40,28)*-
s(24,40,20)s(24,32,28)s(40,48,20)s(32,24,12)+*t(32,40,28)*-
s(40,48,20)c(32,40,20)c(32,24,20)*t(24,40,12)--t(24,40,20)-
s(16,40,20)s(40,40,28)s(32,32,28)*-c(32,32,20)s(40,16,20)--
s(32,40,28)s(48,32,20)t(40,32,12)-+t(40,48,20)-s(24,32,28)*
s(32,24,20)t(40,24,20)s(48,40,12)+c(32,32,20)*t(24,40,20)--
s(48,32,12)c(24,48,12)t(24,32,28)+t(32,48,28)-+s(16,48,20)-
t(16,56,12)s(24,16,20)s(8,16,12)-+c(24,32,20)t(40,40,20)-*
s(40,32,28)s(48,40,20)+s(32,24,20)t(24,16,12)--s(40,48,12)-
c(32,32,28)s(24,24,28)c(48,24,12)c(32,40,12)+-*c(32,40,20)-
c(32,32,28)c(32,24,12)c(32,32,20)s(24,32,28)s(16,24,20)-*+-
s(48,32,20)c(48,48,12)-t(24,56,12)+t(48,40,12)+c(32,32,20)*
s(16,32,20)t(40,24,20)+c(16,16,12)t(32,32,20)+*t(32,40,12)-
s(40,32,20)t(24,32,20)c(40,32,20)s(24,24,20)-+*c(32,40,20)+
s(24,24,12)c(32,16,12)+c(16,48,12)+s(32,16,20)-s(48,48,20)+
s(16,24,20)t(32,32,20)s(24,24,20)s(40,16,20)-s(24,40,28)+*+
s(24,16,12)c(40,16,12)+s(40,40,20)+s(40,8,12)s(32,40,28)+*
t(32,24,20)s(24,24,20)c(24,40,20)*t(24,48,20)++s(24,48,20)+
s(48,32,20)c(32,32,28)*t(40,40,12)c(32,40,12)++s(32,40,28)*
s(32,40,12)c(24,24,20)s(16,16,20)*s(40,40,28)-c(32,32,28)*+
t(48,32,12)c(40,24,20)c(32,24,20)s(48,40,20)-*+s(40,32,12)+
s(24,40,20)t(16,48,12)c(32,48,12)+s(32,16,20)+c(40,48,12)-+
s(32,24,20)c(32,40,20)s(40,16,20)-t(24,16,12)+s(24,32,28)**
s(40,24,28)t(48,32,12)c(24,24,20)s(32,32,28)*+-c(48,32,12)-
c(40,24,20)s(40,40,20)c(24,32,20)+s(24,24,20)t(32,56,12)+*-
c(40,40,12)c(40,16,12)s(16,24,12)++s(24,48,12)+s(24,32,20)*
s(40,24,28)s(24,24,28)s(16,24,20)s(32,24,20)+*-t(16,40,12)+
t(24,32,28)c(24,24,12)-c(24,32,20)*s(32,48,20)t(32,32,28)*+
t(24,40,28)s(24,24,12)-s(32,32,20)+s(32,48,20)t(24,32,20)-+
s(32,16,20)s(16,16,12)-t(40,40,20)s(24,32,28)s(8,40,12)-+*
s(40,40,28)c(40,32,20)*t(32,24,12)s(24,48,20)+c(40,24,20)--
t(24,40,28)s(32,24,12)-t(16,48,12)s(40,32,28)+*t(32,56,12)+
c(32,24,20)s(32,32,20)t(32,32,28)t(48,16,12)c(40,40,20)+***
s(32,32,28)t(32,32,12)-s(16,16,12)-c(32,40,12)-t(32,40,20)-
s(32,8,12)s(40,40,28)s(48,24,12)c(24,24,20)c(40,32,20)*+*+
s(24,48,20)s(24,24,20)-s(32,40,20)c(32,48,12)--t(40,24,12)+
c(24,32,20)s(24,16,12)-t(32,48,12)c(24,24,20)s(40,40,28)*+*
s(48,48,20)s(40,24,12)+c(24,32,12)c(40,48,12)+-t(48,56,12)-
s(40,24,20)s(32,40,20)t(24,40,20)c(40,40,20)+t(24,32,28)**+
c(40,32,20)t(24,32,20)s(40,32,20)c(40,40,12)---s(24,48,20)+
c(24,40,20)s(48,16,20)t(24,40,28)s(40,24,20)t(24,24,12)+-+*
c(40,24,20)s(8,16,12)c(16,24,12)c(32,24,20)++t(24,40,28)--
t(32,32,28)s(40,40,28)s(32,16,20)s(32,32,20)s(32,48,12)++**
s(16,32,20)s(24,32,20)s(24,32,28)s(8,24,12)-s(16,40,20)*+*
s(32,32,28)s(24,32,28)s(32,48,20)*t(32,56,12)s(48,24,12)++*
s(16,8,12)s(24,32,28)t(40,40,12)-+t(24,48,28)t(32,40,20)--
s(24,48,20)c(32,16,12)s(8,40,12)+s(40,32,20)-t(16,40,12)+-
s(24,32,28)t(32,32,28)*c(24,48,12)t(32,40,20)+-c(24,40,20)+
s(8,8,12)s(40,40,20)t(24,32,20)+s(16,32,20)s(40,24,20)--+
s(48,16,12)s(32,24,20)s(48,32,12)-+t(24,48,20)s(40,32,20)+*
s(24,40,28)s(32,24,20)*s(24,32,20)*s(32,8,12)+s(24,40,20)-
s(24,32,28)s(24,40,28)s(40,48,20)-*s(32,48,20)+c(24,32,20)*
s(8,8,12)t(32,40,28)s(40,32,20)s(24,32,20)-++s(16,16,12)+
s(24,48,20)t(16,40,12)s(48,40,20)+c(32,40,20)*+c(32,32,12)-
s(16,32,20)t(40,32,12)+s(24,24,28)s(16,48,12)t(32,32,20)+-*
s(16,48,20)s(48,24,12)+s(32,24,28)-s(24,48,20)*s(16,40,20)+
s(8,40,12)c(24,32,20)+s(48,32,20)-c(16,32,12)-s(24,40,28)*
s(16,24,20)s(24,32,28)*s(48,24,20)t(32,24,20)-+s(24,40,28)-
c(32,40,20)s(8,8,12)c(40,24,20)+-s(16,16,12)t(24,24,12)++
s(48,16,20)s(48,32,12)+c(40,40,12)+s(40,24,28)*c(32,32,20)*
s(40,32,28)s(48,8,12)+s(24,40,28)s(32,32,28)s(16,32,20)*-*
s(48,16,20)c(40,32,12)-t(24,48,28)s(40,24,28)+c(40,24,12)-*
t(32,48,20)t(32,32,20)-s(16,24,20)s(16,16,20)++c(24,40,12)-
t(24,48,20)c(40,24,20)s(24,32,28)t(32,16,12)--+c(40,32,20)*
t(24,40,28)s(24,32,28)t(32,40,28)s(8,40,12)+*s(32,32,20)*-
s(48,40,20)t(40,40,20)c(24,40,20)+t(16,40,12)t(24,24,20)+-*
t(40,24,20)c(24,24,12)-s(24,24,28)+c(32,16,12)t(48,24,12)+-
t(24,40,28)c(32,24,12)+s(48,16,12)+s(40,16,12)t(48,24,12)+-
s(8,32,12)s(40,32,28)+s(40,40,20)s(16,40,20)+*s(32,40,28)*
c(40,32,20)t(32,56,12)+t(32,24,20)-s(24,32,20)s(24,48,20)*-
s(16,24,12)c(32,32,12)+t(32,48,28)c(32,40,20)*-s(32,40,20)+
c(40,40,20)t(24,48,20)t(16,24,12)+s(16,48,20)s(40,24,12)+*+
c(40,32,20)c(32,40,20)c(40,40,20)+t(48,32,12)-s(24,8,12)+*
s(16,48,20)s(48,24,12)+s(40,40,28)c(24,32,20)*c(24,40,20)*+
c(32,32,20)c(24,32,20)s(40,40,28)c(32,24,20)*+s(16,32,12)-*
s(32,32,20)s(32,16,20)s(24,24,12)-t(32,40,20)+t(48,48,12)+*
t(32,16,12)c(40,40,20)c(48,16,12)++s(32,48,12)-c(24,24,20)*
s(40,16,20)s(32,32,28)*c(40,40,20)+t(40,48,12)c(40,16,12)+-
c(40,24,20)t(32,40,28)*s(40,40,20)s(40,24,28)s(32,32,20)+*+
t(40,56,12)c(40,32,20)+s(24,48,20)-c(32,16,12)-t(24,40,28)+
t(40,56,12)s(32,48,20)c(32,32,28)*+t(32,48,20)t(40,32,20)+*
s(24,40,28)s(32,40,28)*s(32,32,20)s(8,40,12)+*t(40,40,12)-
s(40,40,20)s(40,16,20)s(32,24,28)+t(32,48,20)+*s(8,32,12)+
s(32,32,28)t(16,24,12)-s(40,48,20)s(40,32,20)*-s(16,32,12)-
s(32,32,28)c(40,24,20)s(32,32,28)s(32,16,20)t(40,24,12)--*-
t(32,40,12)c(16,48,12)s(32,40,12)+c(48,48,12)+s(32,40,20)-+
s(40,40,20)s(16,40,12)s(40,40,28)+t(24,32,12)-s(24,40,20)--
c(40,16,12)s(16,24,20)+s(24,32,28)*t(32,48,12)+t(48,16,12)+
s(24,24,20)t(32,56,12)c(24,24,20)c(40,40,20)-s(24,24,20)*+*
s(24,40,20)s(32,48,20)c(40,40,12)t(32,32,12)+-t(24,40,20)+*
s(24,48,20)c(32,40,20)*s(8,16,12)+c(32,40,20)s(40,40,28)**
c(24,24,20)s(40,24,20)*t(32,48,12)+t(32,40,12)-c(24,24,12)+
c(32,32,28)c(40,40,20)-t(32,32,28)t(32,40,20)t(24,40,20)+*-
t(32,24,20)c(24,16,12)+s(32,40,20)t(24,48,20)t(40,24,12)+*-
c(16,48,12)s(24,40,20)t(24,32,12)-s(24,40,20)s(40,40,12)-*+
s(24,40,28)t(32,48,28)s(16,40,20)+s(32,48,12)c(32,24,20)+-*
c(16,32,12)t(32,32,28)s(40,32,20)+s(32,16,20)-+c(40,32,20)*
s(24,32,20)c(40,24,20)s(24,32,20)c(24,40,12)-+t(32,40,20)+*
s(32,32,20)s(40,32,28)c(40,24,20)*+s(32,32,20)t(40,56,12)+-
s(48,48,20)s(32,48,20)s(24,48,20)*-s(24,48,20)+s(48,32,20)+
s(32,24,28)s(32,48,20)s(16,32,20)+s(8,8,12)+-s(40,32,28)*
c(40,32,20)s(48,24,20)c(32,16,12)t(40,32,12)+-c(24,40,12)++
c(16,32,12)t(24,40,28)+s(40,24,20)+s(40,32,20)t(40,32,12)-*
s(32,48,20)c(32,32,28)c(24,32,20)s(16,24,20)+s(24,32,20)-*-
t(32,16,12)s(48,16,20)s(40,24,20)c(24,40,20)-*t(16,24,12)++
c(24,32,20)t(24,16,12)-s(8,40,12)+s(40,8,12)+c(32,32,20)*
t(24,24,20)s(40,24,12)t(32,24,20)+s(32,32,28)s(24,40,28)*+*
c(40,32,20)c(40,40,12)t(32,16,12)+t(32,32,28)**s(48,24,12)+
s(32,24,28)s(40,40,28)-c(16,40,12)s(32,16,20)c(32,24,20)++*
s(24,24,12)s(32,40,20)+c(40,32,20)t(32,40,28)**t(32,40,20)+
s(32,16,20)s(24,48,12)+c(32,40,20)c(48,48,12)-c(32,24,20)+*
s(32,24,28)t(24,32,28)-s(32,24,28)t(24,16,12)-c(24,32,20)*-
t(32,48,28)t(24,40,28)t(32,40,28)**t(32,24,12)+t(32,48,20)*
s(32,24,20)c(32,40,20)s(48,40,20)*-c(24,24,12)s(40,8,12)+*
t(48,56,12)s(40,32,20)s(24,24,12)+s(40,24,28)*s(24,32,28)*+
s(32,40,28)c(16,32,12)s(24,8,12)+s(16,40,20)t(40,48,12)++*
c(40,40,12)s(24,32,28)c(32,32,12)-+t(32,48,12)-s(24,8,12)+
t(40,56,12)c(40,32,20)s(48,40,20)+c(32,24,20)*+t(32,40,28)+
s(16,24,20)t(24,40,28)-t(24,40,28)+t(48,32,12)t(16,24,12)+-
s(24,40,28)c(40,24,12)s(40,48,20)+*c(40,40,20)t(24,40,28)**
t(24,48,20)t(40,24,20)s(32,24,20)++c(24,40,20)t(24,40,12)--
c(24,24,20)t(48,40,12)+s(24,32,28)*t(24,56,12)s(40,16,20)++
s(24,32,20)t(32,40,12)-s(40,24,20)c(32,24,20)*c(40,32,12)--
s(40,24,28)s(40,16,20)s(32,40,12)t(16,32,12)++t(24,40,28)-*
s(24,24,28)c(32,16,12)s(24,24,12)s(48,32,20)++*t(24,32,12)-
c(40,32,20)t(24,40,12)s(40,40,20)+t(24,32,28)+*s(40,16,20)-
s(48,48,20)c(40,32,20)s(24,16,20)s(24,24,28)t(24,40,20)-*--
s(40,32,20)c(40,24,20)*s(48,32,20)s(16,32,12)+s(48,40,20)--
s(48,16,20)t(24,48,12)+s(40,24,28)*s(24,48,20)+s(48,32,20)*
s(32,40,28)s(40,24,12)-s(32,32,20)s(24,40,28)s(24,16,12)+**
s(40,48,20)s(40,32,20)t(32,40,28)s(24,32,20)*-+c(32,24,20)*
s(16,32,20)s(24,24,28)s(32,24,12)-t(48,32,12)c(24,40,12)++*
c(32,32,20)t(16,56,12)s(40,32,28)t(32,40,12)-+*t(32,32,12)-
t(24,32,20)c(32,40,20)c(40,24,12)-s(48,48,12)t(24,40,20)+*+
t(24,24,12)s(24,40,20)+s(40,24,20)-c(32,48,12)t(32,16,12)+-
s(24,16,20)c(40,40,20)s(32,48,20)*+c(32,32,28)*s(48,8,12)+
s(16,32,20)t(24,32,28)*c(32,32,20)+s(24,24,20)*c(40,24,20)*
s(32,32,28)t(32,40,12)s(32,24,28)s(24,32,12)-s(40,24,28)*+*
s(32,24,12)s(40,16,12)t(40,56,12)s(24,48,20)+++t(24,40,20)-
s(32,24,20)c(48,16,12)c(32,48,12)++s(24,48,12)-t(32,40,28)*
s(32,16,20)c(40,24,20)s(24,24,20)c(24,32,20)*t(32,32,12)-+*
s(16,40,20)s(40,48,20)s(16,16,20)t(24,40,28)-+s(24,48,20)*-
c(24,32,20)s(40,40,28)c(24,40,20)s(32,48,20)**-c(24,24,20)*
c(32,32,20)s(32,40,28)*c(32,32,20)c(24,32,20)+s(40,24,20)**
s(40,32,20)s(32,40,12)c(24,24,12)+-s(40,16,20)s(24,8,12)++
t(32,40,20)t(24,40,20)+c(24,48,12)s(48,8,12)+c(32,24,20)+*
t(40,24,20)s(24,24,28)s(16,16,12)-c(40,32,12)-+c(24,32,20)*
t(24,40,28)s(40,32,28)s(32,24,28)--s(40,40,28)t(16,40,12)+*
s(24,16,20)s(40,48,20)s(16,16,20)s(24,32,12)-++t(24,32,28)-
t(32,40,28)c(16,48,12)+c(40,16,12)t(24,32,28)+*s(8,48,12)-
t(24,32,20)t(32,40,12)-s(24,16,20)s(40,16,20)*+s(16,40,20)+
s(48,24,20)c(48,24,12)s(24,32,20)+c(24,40,20)s(16,40,20)+-*
c(24,32,20)t(24,40,28)c(40,24,12)s(32,8,12)+s(40,40,28)+**
t(24,40,28)t(32,48,12)t(24,32,28)+*s(48,40,20)t(32,40,28)*-
t(24,24,20)s(40,32,28)s(32,24,28)t(40,24,20)s(8,32,12)+*-+
s(16,48,20)s(32,32,28)t(16,16,12)s(24,48,20)+s(32,40,20)**-
c(40,40,20)s(40,24,20)s(32,40,28)t(24,40,28)--s(16,16,20)++
s(40,40,12)c(24,24,20)c(24,32,20)*+s(16,40,20)s(16,8,12)+*
c(40,24,20)t(32,48,20)c(16,48,12)++c(24,32,20)t(40,48,20)--
t(24,24,12)c(16,48,12)+c(32,24,20)+s(16,40,20)c(24,40,20)**
t(48,56,12)t(32,40,28)t(32,32,28)s(48,40,20)-*s(48,8,12)++
s(40,48,20)s(40,32,28)t(24,48,28)-c(40,32,20)s(48,40,20)**+
s(24,24,20)t(32,24,20)t(48,48,12)t(24,40,12)++s(32,8,12)--
c(32,32,20)s(40,32,28)c(32,48,12)-*t(32,48,28)t(24,32,28)*-
t(32,24,20)s(48,48,12)+s(40,8,12)s(24,32,28)++s(40,48,12)-
s(24,16,20)s(32,16,20)s(24,40,20)-*s(40,48,20)+s(40,32,20)*
s(32,32,28)s(32,48,20)s(24,32,28)*-t(32,24,20)c(24,40,12)+*
s(48,48,20)s(24,40,28)s(16,48,20)*c(32,32,28)*c(32,32,12)++
s(48,24,20)s(32,16,12)-s(24,40,20)+t(32,32,28)t(48,56,12)+*
t(48,48,12)c(40,16,12)+t(24,48,28)s(32,32,28)*+t(32,48,12)-
s(32,40,12)s(24,32,28)s(24,40,20)-+s(8,16,12)-s(32,24,20)*
t(32,48,28)c(24,24,20)t(24,24,12)-s(16,16,20)--s(48,24,12)+
s(32,40,28)s(40,32,28)s(32,32,28)**t(48,24,12)s(40,32,12)+-
s(32,24,28)s(24,32,28)s(40,48,20)-s(32,32,28)s(32,16,12)-**
t(24,56,12)c(32,32,20)+t(24,40,20)-s(16,16,20)t(24,40,12)+-
s(48,24,12)t(24,48,28)s(40,32,28)*+c(40,24,12)-s(16,48,12)-
t(48,40,12)s(16,48,20)s(24,32,28)c(48,40,12)+*+c(16,32,12)-
s(32,32,28)s(8,8,12)+s(40,32,28)*t(24,32,28)*s(8,8,12)+
c(24,24,20)t(32,48,28)-t(40,32,12)t(24,48,28)+-t(24,40,28)-
t(24,32,28)t(32,48,28)+c(16,24,12)-s(16,32,20)c(40,32,20)+*
s(40,16,20)t(40,48,12)+s(32,24,28)s(32,24,20)s(16,24,20)---
s(24,24,28)t(40,32,20)-s(8,8,12)-s(48,16,20)-c(32,24,12)-
c(24,24,20)s(48,8,12)+c(40,40,20)s(32,40,28)+c(48,24,12)-*
s(32,16,12)c(24,40,20)s(16,40,20)*t(24,24,12)s(32,40,20)+*+
t(48,48,12)t(32,24,20)+s(32,32,28)s(32,16,20)t(40,48,20)+**
c(32,32,20)t(32,48,28)*c(40,48,12)+t(16,16,12)s(16,32,12)++
s(48,16,12)c(24,48,12)+t(40,24,20)-t(16,56,12)t(40,24,20)+-
c(24,40,20)c(48,32,12)s(16,24,20)+-t(24,40,28)s(16,24,12)-*
c(24,32,20)c(24,24,20)t(48,24,12)c(40,16,12)+-s(48,32,20)++
t(32,24,20)c(40,40,20)+c(32,40,20)c(40,40,12)t(32,40,12)+-*
s(40,16,20)s(32,40,20)+s(48,16,20)-t(32,32,20)-s(32,40,20)*
t(24,56,12)s(32,24,20)+s(32,32,28)*t(24,32,28)s(24,40,28)*-
c(40,48,12)t(32,32,28)s(16,40,20)c(32,40,20)-++c(40,40,20)-
s(48,24,20)c(32,32,20)+s(24,40,20)s(24,24,12)--c(32,40,20)+
s(16,24,20)s(24,32,20)c(32,32,20)t(40,40,20)*+*c(32,16,12)+
s(32,24,20)s(40,24,28)s(32,40,12)-*s(40,24,20)*t(24,24,12)-
s(40,8,12)c(24,32,20)c(32,24,20)*+c(48,48,12)+t(24,32,28)+
s(48,40,20)s(24,24,28)-c(24,24,20)+t(24,32,28)s(24,40,28)**
s(48,40,20)t(24,32,28)c(48,40,12)-c(16,48,12)-+c(32,40,12)-
s(32,48,20)s(24,32,20)-s(40,32,12)+c(40,24,20)s(24,32,28)*-
t(32,40,20)s(40,32,28)s(24,24,20)+s(16,40,12)s(32,8,12)+-*
t(32,32,28)s(40,40,20)t(32,32,28)t(32,48,28)-+s(40,24,20)**
c(40,32,20)c(40,16,12)c(32,48,12)c(24,32,12)++-s(48,24,12)+
s(24,24,28)s(48,32,20)s(40,8,12)s(32,32,12)+-s(40,24,28)*+
s(40,32,28)s(8,8,12)+s(40,40,28)t(32,40,28)+c(32,48,12)-*
s(32,32,28)s(40,32,12)-t(32,56,12)+s(32,16,20)s(24,32,20)--
s(24,32,20)s(16,48,12)-s(32,16,20)s(32,32,28)s(40,40,12)-+*
s(32,24,28)s(16,40,12)-c(16,32,12)+c(40,32,12)-s(24,48,20)+
s(24,24,28)s(32,32,28)t(24,40,12)-*s(32,40,28)s(24,40,12)-*
t(40,32,20)c(16,48,12)+c(40,32,20)s(24,40,28)*s(48,48,12)+-
s(40,40,20)s(48,16,20)s(16,40,12)++t(24,32,28)s(32,24,28)**
s(40,40,20)c(40,24,20)c(48,16,12)c(32,40,12)+s(40,40,12)-*-
s(24,40,28)s(32,48,20)s(24,24,20)+*c(48,24,12)c(24,48,12)+-
c(48,16,12)c(32,32,20)c(24,48,12)c(16,40,12)+t(32,40,28)*-+
s(32,16,20)c(40,40,20)c(40,24,20)s(24,40,28)---s(24,24,12)-
t(24,16,12)t(32,56,12)+c(40,32,20)c(32,40,20)*+t(24,48,20)-
s(24,48,20)t(24,32,28)s(40,24,20)-t(24,56,12)+c(32,32,12)-*
s(32,32,20)s(48,32,20)s(40,48,12)--c(32,40,20)t(32,32,28)**
t(24,32,28)s(32,40,28)c(24,40,20)+t(24,48,28)-s(24,24,12)--
s(40,24,20)s(24,8,12)+s(40,48,12)+s(32,16,20)+c(40,48,12)-
c(48,24,12)t(24,32,28)t(24,40,28)c(24,32,12)--s(24,40,12)++
t(24,32,28)t(48,56,12)c(24,24,20)c(32,48,12)c(16,32,12)+*+-
s(48,24,20)s(40,32,20)+c(24,40,20)t(24,24,20)s(48,32,12)++*
s(32,32,28)c(48,48,12)t(16,16,12)c(16,24,12)++-c(24,40,12)-
s(48,32,12)t(24,24,12)+s(32,40,20)s(40,32,28)s(32,32,28)*+*
c(24,24,20)c(32,32,12)t(24,32,12)+s(32,40,20)*-c(16,48,12)+
s(48,24,20)t(24,32,20)s(24,24,20)*+s(48,32,20)*c(40,40,20)*
t(32,32,20)c(40,40,20)t(32,48,20)*-t(24,40,28)c(24,24,12)-+
s(40,40,12)s(24,40,20)+c(40,32,20)s(24,24,12)-t(40,24,12)-*
c(32,40,20)s(32,32,28)*t(24,40,28)c(24,32,12)t(24,56,12)++*
s(32,16,20)c(32,32,20)-t(24,32,28)t(24,48,28)-t(40,24,12)++
t(32,24,20)s(32,32,20)t(24,32,28)s(48,32,20)s(32,40,28)*-*+
s(24,32,28)t(16,40,12)-t(24,16,12)-s(40,16,12)-t(32,32,28)*
c(40,48,12)s(16,40,12)s(40,40,20)+t(32,32,28)*s(16,40,20)-+
s(16,48,20)t(24,24,20)t(40,32,20)+-s(40,24,28)t(32,56,12)+-
c(32,32,28)s(32,40,28)s(8,8,12)t(32,48,28)+*s(32,8,12)+*
t(48,24,12)t(48,40,12)+s(16,40,20)s(32,40,20)*+s(24,24,12)+
s(40,40,20)s(16,40,20)s(24,40,20)++c(48,40,12)-s(16,24,20)*
s(16,24,12)t(32,32,20)t(32,16,12)-c(16,24,12)c(24,40,20)+*+
t(24,48,20)c(40,48,12)t(32,48,20)s(24,24,12)+c(16,32,12)++*
s(24,40,20)s(32,32,20)s(40,24,28)+s(24,32,28)*c(32,24,20)*-
s(24,40,20)s(32,24,28)c(40,24,20)*s(16,48,20)+s(40,40,28)*-
s(40,24,28)t(32,48,12)s(48,40,12)t(24,32,12)++-s(40,24,20)*
c(24,16,12)s(40,16,20)+c(24,24,20)-c(24,32,20)+c(32,32,28)*
c(16,32,12)s(16,8,12)s(24,48,12)++s(16,40,20)*c(16,40,12)+
s(24,24,28)s(8,48,12)s(32,24,20)s(16,16,12)++c(32,40,12)--
c(32,40,20)s(40,24,28)+s(24,40,12)t(40,48,20)+s(48,32,20)+*
c(16,32,12)s(32,32,20)+s(48,32,20)c(32,24,20)s(24,16,20)*+*
c(40,24,20)t(24,40,12)s(32,24,12)++t(24,32,28)*s(40,24,28)*
c(40,32,20)c(24,24,20)+t(32,24,12)-t(32,16,12)t(32,32,20)++
c(24,24,20)s(24,40,20)s(48,24,20)+c(48,16,12)-*s(48,16,20)-
s(32,40,28)c(48,48,12)-s(24,24,28)*s(24,48,12)+s(32,48,20)-
s(24,16,12)t(24,48,20)s(48,32,12)++s(16,32,20)-c(40,16,12)+
s(24,24,28)s(8,40,12)c(32,24,12)+s(48,40,12)+t(32,40,20)+*
t(48,40,12)t(24,32,20)c(40,32,12)-+t(24,48,20)-s(40,32,12)+
s(40,8,12)t(32,48,28)+t(40,48,20)-s(32,24,20)c(40,24,20)*+
t(40,56,12)s(48,32,20)+s(40,32,20)t(40,40,20)t(40,24,20)-+-
s(32,16,20)s(16,16,20)+s(24,24,28)*t(32,24,20)t(48,16,12)+*
s(24,40,28)c(40,32,20)c(48,16,12)s(16,32,20)+-s(48,24,12)--
c(32,32,20)t(32,40,28)*t(48,48,12)+t(32,32,12)-t(32,24,20)-
t(32,32,28)t(32,24,20)-s(40,32,20)s(16,32,12)+t(32,48,28)+*
s(40,32,20)s(24,32,20)c(32,32,12)-+s(40,24,20)c(24,24,12)-*
c(48,16,12)s(32,40,28)s(40,24,12)-c(40,40,20)-+s(32,48,20)-
c(24,24,20)s(16,32,20)c(24,40,20)*-c(40,32,20)s(40,16,20)*-
c(32,32,20)t(32,32,28)*s(32,40,28)*c(48,40,12)+t(24,40,12)-
c(24,24,20)t(32,40,28)t(24,40,20)*-t(32,40,28)+c(40,32,20)-
s(16,32,20)s(32,40,28)s(24,32,28)t(32,40,28)*c(48,48,12)+*-
c(32,24,20)s(32,40,28)*t(16,32,12)-s(32,40,20)+t(24,32,28)+
t(24,32,28)c(24,16,12)+s(16,32,12)-t(32,48,28)s(40,24,20)-+
c(40,24,20)c(40,40,20)c(24,24,20)s(24,40,20)*+t(24,32,20)*+
s(40,40,28)s(24,48,20)c(40,40,20)*-s(40,24,20)*s(24,32,20)+
s(32,40,28)c(40,24,20)s(40,40,20)c(48,40,12)-+*c(32,24,12)-
c(40,40,20)t(32,40,12)-s(32,32,20)-s(32,32,20)c(24,24,12)-+
c(40,48,12)t(24,32,28)+s(8,24,12)+s(40,40,12)-t(32,40,28)-
s(16,32,20)t(24,48,28)c(32,48,12)--t(40,40,20)t(32,40,20)++
t(24,40,28)s(32,32,28)t(48,40,12)-*s(40,48,20)c(32,32,20)+*
s(48,24,20)c(32,40,20)s(24,40,20)--t(24,48,20)+t(24,40,20)-
s(24,16,12)t(32,40,28)+s(32,48,12)-t(32,40,12)s(24,32,12)+-
c(40,40,20)t(24,24,20)s(32,16,20)+-s(16,48,20)-s(40,40,20)*
s(32,24,28)s(40,24,28)*s(40,32,28)c(24,40,20)*c(48,48,12)--
c(16,40,12)s(48,8,12)s(48,40,20)++s(48,16,12)s(24,40,12)+-
t(24,40,28)s(16,48,20)s(16,24,20)-c(32,24,12)+s(32,40,28)**
t(40,24,12)t(32,32,28)s(32,48,12)t(40,56,12)+-t(32,32,20)*+
s(48,32,20)c(24,32,20)s(24,8,12)+t(32,24,12)-s(40,40,28)*-
s(32,40,20)c(40,24,20)s(32,8,12)s(32,40,20)+*t(40,32,12)--
s(32,8,12)s(24,32,28)c(24,16,12)-+s(8,32,12)s(40,32,20)++
s(32,32,28)c(32,40,20)s(48,40,12)-c(24,24,12)-*c(24,32,12)+
s(48,32,20)s(24,40,20)-s(24,32,20)+c(32,48,12)-t(40,24,20)*
s(24,16,20)s(40,16,12)-t(32,32,20)-s(40,16,20)s(32,16,20)*+
t(24,40,28)t(40,40,20)s(48,8,12)++c(32,40,12)-s(24,40,20)*
s(40,48,12)s(32,24,28)+t(24,32,20)t(32,48,20)+t(40,32,20)+-
t(24,40,28)s(32,40,28)s(40,32,28)*s(16,24,12)+s(24,32,28)**
s(40,24,28)c(24,40,12)+s(16,40,20)s(24,40,20)*s(48,16,20)+-
c(40,24,20)c(24,16,12)+s(40,24,28)c(24,24,20)*-c(32,40,20)+
c(32,24,20)s(48,32,12)-s(24,32,20)c(16,40,12)--t(24,48,28)-
c(32,40,20)s(16,40,20)s(40,24,28)-+s(32,24,28)s(32,16,20)-+
t(48,24,12)t(40,16,12)+s(48,40,20)+c(16,48,12)t(40,16,12)+-
s(40,8,12)s(32,32,12)+s(48,40,20)+s(48,48,12)-s(40,48,20)-
t(32,32,20)s(24,32,28)s(40,40,28)c(24,48,12)--s(32,32,12)+*
t(24,32,20)s(48,16,20)+s(32,32,12)-s(32,24,28)-t(24,48,20)+
t(24,24,12)c(32,24,12)t(24,40,12)++t(32,48,20)+s(40,16,20)-
c(32,40,20)c(24,24,20)c(48,48,12)s(24,32,12)+c(32,24,12)+**
t(32,32,20)c(40,40,20)t(16,40,12)+s(32,40,12)t(24,24,12)++*
s(24,32,28)c(40,48,12)-s(48,48,12)+s(40,48,12)s(48,24,20)+*
s(48,16,20)s(24,32,20)+s(24,48,20)t(24,32,20)+*s(16,48,12)-
t(24,40,28)c(32,32,20)s(40,32,28)**t(32,32,28)c(32,24,20)+*
s(16,32,20)s(32,32,28)t(40,16,12)-+c(24,24,20)*s(24,40,12)-
t(32,56,12)c(24,24,20)+s(24,16,20)c(40,40,20)--s(32,48,20)*
t(24,24,12)s(48,32,12)+t(32,24,12)-t(16,24,12)+t(24,32,20)+
s(24,16,12)s(40,24,20)+s(32,16,12)t(40,32,20)++s(16,32,20)-
s(16,40,20)t(24,48,28)+c(48,16,12)s(40,48,20)+-s(24,40,20)*
s(24,8,12)c(40,40,20)s(40,32,28)s(32,40,12)-*c(32,40,20)*+
c(24,40,20)s(40,40,20)s(32,32,28)*t(48,16,12)s(16,48,20)+-+
s(24,8,12)t(40,16,12)+c(32,24,20)c(24,24,20)*s(40,40,20)-+
c(40,24,20)s(24,40,20)s(24,32,20)+-c(40,32,20)+s(48,24,20)-
s(24,24,20)s(48,24,20)c(32,24,20)s(40,24,28)*t(40,16,12)-+*
c(16,24,12)t(40,24,20)t(32,40,28)s(48,32,20)-+t(32,48,28)-+
s(40,40,12)t(24,24,20)s(40,48,12)+s(16,24,20)*+c(32,40,20)*
t(24,32,28)c(32,32,20)t(24,32,28)*t(24,40,28)*-s(40,24,28)+
c(40,40,20)c(48,32,12)-s(32,48,20)t(40,32,20)+*c(40,32,20)*
c(24,32,20)c(16,16,12)-t(16,16,12)t(24,40,20)+*s(24,16,12)+
t(40,24,12)s(48,40,12)+c(32,32,12)+s(40,24,20)s(40,8,12)-*
s(24,40,20)s(8,24,12)+t(40,40,20)-t(24,32,20)s(40,16,20)-+
s(48,24,20)t(24,48,12)s(32,24,20)s(16,24,12)-+c(16,40,12)--
s(32,16,20)t(32,16,12)s(16,48,20)+s(16,40,12)c(40,40,20)+--
s(32,24,28)t(32,40,20)c(24,24,20)s(40,24,28)*s(24,16,20)*--
t(40,32,12)c(40,40,20)s(40,24,28)s(32,32,28)*-c(24,40,12)-+
s(32,32,20)t(32,48,20)t(32,32,20)+t(40,48,20)++s(16,40,20)-
s(24,32,28)s(32,40,28)*c(40,48,12)+s(32,8,12)s(32,32,28)+*
s(40,24,20)t(32,16,12)-c(40,32,12)+t(40,32,20)*s(48,40,12)+
c(40,32,20)t(32,48,28)+t(40,40,20)-c(40,48,12)-c(40,16,12)+
s(24,40,28)s(32,40,28)s(40,48,12)-*t(24,40,20)-c(32,32,20)+
s(48,32,20)t(48,16,12)-s(48,32,12)t(40,40,20)+s(40,40,12)--
t(24,32,20)s(48,48,20)-s(32,16,20)s(24,24,28)s(40,48,20)-+*
s(24,32,20)t(24,40,28)*s(48,32,12)+s(32,16,20)s(32,16,12)--
t(16,48,12)s(24,8,12)t(24,32,20)t(40,24,20)+s(40,40,20)*++
t(24,40,28)t(24,48,28)s(48,48,20)s(40,48,20)t(40,32,20)-*-*
s(40,40,28)c(32,32,28)t(32,32,20)-*s(40,48,12)c(24,32,20)+-
c(32,40,20)s(24,40,28)c(24,24,20)*s(32,40,20)*-s(32,40,20)*
s(16,16,12)t(40,32,20)+c(48,24,12)-s(16,8,12)s(40,32,20)+*
t(32,48,28)s(32,24,20)c(16,16,12)-t(32,48,28)c(40,40,20)*+*
t(32,32,12)s(48,16,20)+c(32,24,20)s(32,8,12)t(32,48,28)++*
t(24,40,12)t(24,24,20)s(32,32,28)*s(32,16,20)+s(32,32,28)*+
s(24,32,28)t(24,48,20)-c(16,24,12)-s(40,40,28)s(48,40,20)--
s(16,48,20)s(16,40,20)c(40,24,20)+s(24,48,20)**s(40,32,28)+
t(24,40,28)s(24,32,28)c(32,24,12)s(16,16,20)+*-s(16,48,20)*
c(32,32,12)s(48,40,20)+s(24,24,20)t(24,40,28)s(24,40,20)*+-
s(40,48,12)s(24,40,20)s(32,40,28)c(24,32,20)*s(32,24,12)-*+
t(32,32,28)s(32,40,28)*c(32,24,12)+c(24,32,12)-t(32,48,20)-
s(24,40,20)s(8,40,12)-t(40,48,12)s(40,40,28)t(32,32,28)*+*
t(40,32,12)t(24,48,28)s(40,32,28)*+t(32,24,12)-c(40,32,20)*
t(32,32,28)t(32,40,20)-t(40,16,12)+c(32,32,12)-t(32,40,28)-
s(40,24,28)s(24,40,20)-s(48,24,20)*s(8,48,12)+s(32,32,28)*
c(16,40,12)s(8,40,12)+t(24,32,20)t(24,24,20)c(32,48,12)+*-
c(32,32,20)s(24,32,28)s(32,24,12)c(16,16,12)+*-s(24,40,20)*
c(40,24,20)t(16,56,12)s(8,16,12)+c(48,24,12)s(8,8,12)++*
c(40,24,20)c(48,48,12)+t(24,32,20)c(16,32,12)+-s(40,24,28)*
t(32,40,28)s(32,40,20)c(40,40,20)*s(40,24,20)-c(40,24,12)+*
c(40,32,20)s(48,48,20)-t(24,48,28)s(48,48,12)+-c(16,16,12)+
s(32,40,20)c(48,48,12)-s(48,32,12)-t(40,16,12)s(16,48,12)++
t(24,48,28)s(16,16,20)+s(16,48,12)-s(24,24,28)*s(24,40,28)-
c(24,24,20)s(40,16,12)s(24,40,20)c(24,40,20)s(16,32,12)-++*
s(24,16,12)t(24,40,20)s(16,32,20)++s(32,24,28)c(24,32,20)*-
s(32,32,20)s(40,40,28)t(32,24,20)t(40,48,20)c(24,40,12)-+**
s(24,40,28)t(24,40,28)s(24,48,20)s(32,24,12)+*-t(24,32,28)-
s(16,40,20)s(24,24,20)t(32,40,20)t(24,24,20)-s(40,16,12)+-+
s(24,32,28)s(24,8,12)s(40,32,12)+-t(32,56,12)s(32,32,20)+*
t(32,48,28)c(40,40,12)+t(32,48,28)s(40,32,20)+c(24,40,20)-*
c(24,40,20)t(24,40,28)t(32,48,12)c(24,48,12)+s(40,32,12)+*-
s(48,48,12)s(24,32,20)+c(32,32,12)s(48,48,20)+s(24,32,28)**
s(40,24,28)s(48,40,20)t(16,32,12)+c(48,24,12)s(32,8,12)+--
s(48,8,12)s(16,48,12)s(24,24,20)+c(24,24,12)-s(24,40,28)*+
s(16,24,20)s(40,24,20)c(24,24,20)t(48,16,12)+c(24,32,20)*+*
s(48,48,20)s(40,16,20)+s(24,24,28)s(24,40,12)--c(40,32,20)*
c(32,24,20)c(40,24,20)*s(40,16,20)s(24,24,28)s(16,8,12)-**
s(32,40,28)s(32,32,28)*s(24,40,28)c(40,40,20)*-c(32,48,12)+
s(24,48,12)t(32,56,12)+s(40,32,20)s(40,48,20)*+t(32,40,28)*
t(24,48,12)t(24,40,28)c(32,32,20)s(48,16,20)+*+s(16,24,12)-
s(40,8,12)c(32,32,20)+t(32,32,12)-s(16,16,20)s(16,48,20)+-
s(32,8,12)t(24,24,20)t(24,48,20)++s(32,32,20)-t(32,56,12)-
s(48,32,20)s(40,40,12)s(32,32,12)s(32,16,20)+t(40,32,20)-+-
c(32,32,12)c(32,24,20)s(40,40,20)*+c(24,40,20)t(24,24,12)-+
c(32,32,28)s(48,48,12)-s(32,48,20)c(32,32,28)**s(8,40,12)+
s(48,16,20)s(32,24,28)s(40,32,20)-s(32,48,20)c(40,40,20)*++
s(24,32,20)t(48,40,12)t(48,32,12)++c(24,32,20)*c(24,40,12)-
t(24,40,28)c(40,40,20)s(40,32,20)*-s(40,48,20)t(40,24,12)+-
c(24,24,20)t(16,16,12)s(16,32,20)++s(32,40,28)s(40,24,12)-*
s(24,24,20)s(24,8,12)-s(48,24,20)-s(40,24,20)s(24,16,20)--
c(40,40,20)t(32,32,28)s(48,16,20)-c(32,48,12)-c(32,16,12)--
s(40,24,28)s(48,40,20)s(40,48,12)-c(40,40,12)+*s(40,32,20)*
s(24,48,20)s(24,32,12)-t(48,24,12)c(40,24,20)c(48,32,12)-++
s(8,40,12)c(40,32,20)+s(32,24,28)*s(32,32,20)*t(40,32,20)*
s(16,16,20)s(32,24,28)c(48,24,12)c(16,48,12)s(32,24,12)++*+
t(24,40,28)c(40,40,12)-c(24,32,20)c(16,16,12)-+s(32,40,20)+
s(24,24,28)t(40,24,20)c(24,40,20)t(24,16,12)c(40,32,12)+-+*
s(48,24,20)t(48,56,12)s(24,32,28)+-s(32,32,20)+c(24,24,20)*
s(32,32,20)t(40,56,12)+s(40,24,12)-s(40,32,12)+s(40,40,28)*
c(40,24,20)s(16,48,12)t(32,24,12)+c(32,40,20)c(48,40,12)-+*
t(24,32,28)c(24,40,20)s(24,40,28)c(32,32,20)c(40,24,20)*-++
s(32,48,20)s(16,48,20)s(8,40,12)-*s(24,24,20)c(48,32,12)++
c(32,32,20)t(32,48,28)+s(40,40,20)s(40,32,20)t(48,16,12)-**
t(40,24,20)c(32,40,20)s(40,32,28)s(24,16,20)-*+c(48,24,12)+
s(24,24,28)s(24,32,28)s(16,16,12)-c(32,32,20)t(40,24,20)*-*
s(40,32,20)c(32,40,20)c(40,40,12)-s(40,32,28)*-s(40,24,12)-
c(32,16,12)t(24,40,20)+s(40,24,20)+c(40,32,20)*t(32,40,28)+
s(24,24,28)t(24,16,12)s(40,32,28)t(40,40,20)s(24,24,12)+-+*
c(48,48,12)s(32,48,12)+t(32,40,28)c(32,24,20)s(40,48,20)+**
s(32,48,20)c(40,32,20)s(40,40,20)s(40,8,12)c(32,32,20)++**
t(24,40,28)t(40,48,20)c(32,32,12)++t(40,32,12)-t(40,56,12)-
c(40,24,20)t(40,40,20)t(24,24,20)+s(40,40,28)*c(16,32,12)-*
s(48,32,20)c(24,40,20)s(16,32,20)s(40,32,20)+t(24,24,12)-*+
s(48,48,20)s(40,40,28)s(24,48,20)s(40,24,20)++t(24,48,28)-*
t(48,40,12)s(24,24,28)c(16,48,12)++c(32,40,20)s(40,32,12)--
t(48,48,12)s(16,32,20)+c(24,24,12)s(40,8,12)+s(40,24,20)+-
s(16,40,20)s(24,48,20)t(24,32,28)s(32,24,28)*+c(40,40,20)+*
s(48,40,20)s(16,48,20)s(48,16,12)+s(40,40,28)+s(48,24,12)-*
s(40,40,28)s(24,48,12)s(16,16,12)s(8,32,12)++c(24,32,20)*-
s(24,32,28)s(24,24,28)*c(24,40,20)s(24,48,12)-*c(16,40,12)-
s(24,40,28)c(40,32,20)s(32,48,20)-s(16,48,20)+s(40,24,20)-*
c(24,24,20)c(32,40,12)+s(48,24,20)s(40,16,20)*-s(40,32,20)-
s(48,40,12)t(32,40,28)+c(24,24,20)-c(16,48,12)-t(32,32,20)-
c(40,32,20)c(32,32,20)s(24,24,28)*t(32,32,28)*c(24,48,12)-*
s(24,24,20)c(40,32,20)s(48,32,20)s(16,24,12)t(32,32,28)+---
c(24,40,20)c(40,32,20)s(24,32,20)-s(48,24,12)-s(24,40,12)++
c(24,40,20)s(16,32,20)t(16,40,12)-s(40,40,28)-+s(24,24,28)-
s(8,16,12)s(32,32,28)t(24,32,28)t(32,32,20)--+s(24,32,28)*
s(24,48,20)t(40,32,20)-s(24,40,20)c(40,40,20)s(48,24,12)-*-
t(48,56,12)s(40,24,28)+s(16,32,20)-s(40,32,20)s(32,16,12)--
s(24,24,20)s(16,16,12)s(32,40,28)+*s(16,48,12)s(24,8,12)+-
t(24,32,28)t(40,48,20)t(48,40,12)-c(48,16,12)+-s(40,40,20)-
s(40,24,20)s(16,48,12)t(32,32,28)+c(32,32,28)s(48,40,20)*+*
c(48,16,12)t(32,40,12)s(40,16,20)s(40,24,12)-++s(32,24,28)*
s(24,24,28)s(24,32,28)t(48,24,12)+t(32,24,12)c(48,40,12)++*
s(32,16,20)s(48,40,20)+s(40,32,20)t(16,16,12)+-s(24,8,12)+
s(48,16,20)s(24,8,12)t(24,40,28)++s(24,40,12)-t(40,24,12)-
s(32,32,20)t(32,48,28)c(48,48,12)+s(48,48,20)s(40,24,28)-*+
s(48,24,20)s(48,16,20)*s(32,32,20)t(24,48,28)+-t(48,24,12)+
c(40,40,20)s(8,40,12)t(40,32,12)+c(40,48,12)+t(40,48,12)--
c(24,16,12)s(16,32,20)c(40,24,20)+s(48,48,20)t(40,24,12)+*+
s(32,16,12)c(16,16,12)+t(40,16,12)-c(24,24,20)s(32,32,28)*+
c(32,32,20)c(40,40,20)t(24,48,12)-t(48,32,12)-s(16,24,12)+*
c(40,24,12)s(32,40,12)+s(16,24,12)s(24,32,20)t(40,32,20)-+-
s(24,24,28)c(24,40,20)*s(40,16,12)t(24,48,20)+-c(24,24,20)*
t(40,40,20)s(32,40,20)+c(48,24,12)c(32,32,12)+-s(48,40,12)-
t(32,24,20)s(48,40,12)+s(24,24,28)s(16,24,20)s(24,8,12)---
s(32,32,28)c(24,32,20)s(16,48,20)*-s(16,16,20)-s(24,24,20)-
s(24,24,28)s(16,24,20)s(32,40,20)-c(48,32,12)++t(32,24,12)-
c(40,32,20)t(32,32,28)s(32,24,28)**c(32,24,20)s(40,16,20)*-
s(24,48,12)s(24,40,28)s(24,24,20)s(24,32,20)t(16,48,12)+**+
s(24,16,20)t(40,24,20)s(32,24,20)*+s(32,32,28)+s(16,40,20)*
s(32,16,20)c(40,32,20)t(32,40,20)-s(40,40,20)s(24,32,12)-++
t(16,24,12)s(40,40,28)c(24,24,20)s(16,48,20)+c(40,24,12)-*+
s(40,40,28)s(32,40,28)s(16,24,20)s(24,32,12)-+*s(32,32,20)*
t(32,32,28)t(24,40,28)s(24,24,12)c(16,32,12)+*s(32,24,12)+*
t(24,40,28)c(32,40,20)t(24,32,20)--c(24,40,12)s(40,48,12)++
t(32,48,20)t(24,48,28)s(32,32,20)-s(40,48,12)-+c(32,40,20)*
s(24,24,28)c(24,32,20)*s(24,16,12)t(16,24,12)+-s(40,24,28)*
t(32,32,28)t(32,40,28)s(16,40,20)t(24,48,28)**c(32,32,12)++
t(32,32,20)s(24,40,28)t(32,32,12)-t(24,32,28)*s(32,32,12)+*
c(48,16,12)s(40,40,20)c(32,40,20)*s(16,48,20)c(32,40,20)-++
s(32,40,20)s(32,24,28)s(16,32,20)*s(24,24,28)c(40,24,20)*+*
c(40,32,20)t(24,32,28)t(24,48,12)s(24,32,20)+*c(24,40,20)*+
t(24,40,28)s(40,40,28)*t(24,48,28)+s(48,24,12)+c(16,32,12)-
s(24,16,20)t(24,48,28)t(32,40,12)-t(32,48,28)+-s(40,32,12)+
s(32,32,28)s(32,16,20)-s(48,40,12)-s(8,32,12)+s(16,24,20)*
s(24,40,28)c(40,24,20)c(32,16,12)-s(32,48,20)s(24,40,20)*+*
t(32,32,28)s(32,40,20)c(24,32,20)**s(24,32,20)s(40,32,28)**
s(24,24,20)s(16,32,20)s(8,16,12)-s(16,32,12)--s(32,24,28)*
c(48,40,12)s(48,24,12)t(24,32,20)+s(32,24,20)s(48,24,20)*-+
s(32,24,20)t(32,24,12)s(24,40,12)++s(8,24,12)+c(48,24,12)-
s(24,32,28)s(48,16,20)-t(32,48,28)s(16,40,20)-+t(32,32,20)*
c(32,32,28)s(40,24,28)t(32,40,28)*-s(32,40,28)t(40,40,12)-+
t(40,32,20)s(24,40,28)+t(40,48,12)s(24,24,12)+s(24,48,20)+*
t(32,32,28)s(40,40,28)*t(24,24,20)-s(24,24,28)+c(24,40,20)*
c(24,48,12)t(40,24,20)c(24,32,20)c(24,24,12)-s(16,32,12)--+
c(32,32,20)t(32,40,28)*s(40,40,20)t(48,40,12)-s(24,48,20)+*
s(16,40,12)s(8,8,12)+s(32,40,12)+s(48,48,20)-s(40,40,28)-
s(16,40,12)s(16,24,20)s(32,16,20)+s(16,32,12)-s(40,40,28)-+
c(24,24,20)s(32,40,20)c(40,40,20)*+c(24,32,20)t(24,40,28)+*
s(48,24,20)s(24,48,20)+c(32,24,20)-c(24,40,20)*s(24,24,28)-
c(32,32,28)c(48,16,12)t(24,40,28)c(32,48,12)-+*s(24,48,20)-
s(24,48,20)t(32,40,12)t(24,32,20)s(48,40,12)+s(32,48,20)-++
c(32,40,20)s(24,24,20)t(40,32,20)+s(40,48,12)+c(32,24,20)**
s(24,24,20)s(48,32,20)+s(40,40,20)*c(32,32,20)s(16,32,12)-*
s(40,32,28)c(48,16,12)s(24,40,28)+s(32,48,20)s(24,32,28)*-*
c(32,24,20)c(32,48,12)+s(32,16,20)-t(32,32,20)c(40,40,20)*+
s(32,40,20)t(48,16,12)+t(16,48,12)+c(48,24,12)t(32,32,28)++
s(32,32,20)t(32,40,20)c(40,32,20)*s(24,16,20)+*c(24,24,20)*
t(24,56,12)c(32,40,20)t(24,48,28)c(40,40,20)*-+s(32,24,28)*
s(48,32,20)c(40,40,20)s(32,32,28)s(16,40,20)c(24,32,20)**+*
c(32,24,20)c(40,24,20)*s(40,8,12)c(24,32,12)+s(16,16,12)+-
t(32,48,28)c(24,24,20)s(48,48,20)c(32,40,20)-t(40,16,12)++-
t(32,32,28)s(40,32,28)c(48,16,12)-*c(32,32,28)s(32,16,20)-*
s(40,8,12)s(16,40,20)+s(24,32,20)s(40,24,28)*s(40,40,28)*-
t(32,32,28)t(40,48,20)+s(40,24,28)c(48,24,12)-s(40,40,20)-+
c(32,40,20)s(8,32,12)+s(48,24,20)+s(32,40,28)*t(24,48,28)*
s(40,24,20)s(24,32,12)-s(16,16,20)s(48,48,12)+c(48,40,12)-+
s(32,32,20)s(24,24,28)*t(16,48,12)c(40,48,12)+s(40,48,20)*-
s(48,48,12)s(16,40,12)c(32,32,20)+s(24,16,12)++s(24,40,20)*
t(40,40,12)s(24,24,20)s(16,40,12)-+s(32,40,20)-s(48,16,20)-
c(32,24,12)t(24,40,28)+s(32,32,28)*s(40,32,28)s(24,32,20)--
t(24,40,28)t(32,32,28)t(24,40,28)t(24,48,20)*+*s(32,24,20)+
t(40,48,20)t(32,48,28)*s(24,32,28)s(24,32,28)s(16,16,20)*-+
s(32,32,28)c(32,24,20)*t(48,24,12)-s(8,40,12)+s(32,40,28)+
c(32,40,20)c(24,32,20)s(16,40,20)*s(24,32,20)t(32,24,12)-*-
c(40,24,12)s(32,40,28)t(24,32,28)c(24,32,20)s(32,24,12)-**+
t(32,40,28)s(40,48,12)c(32,32,20)s(24,48,20)*+*s(40,24,20)-
s(32,40,20)s(48,16,20)+s(8,48,12)t(24,40,28)t(32,32,28)*+*
c(24,40,20)c(32,32,12)s(48,40,20)c(16,32,12)++c(40,40,20)*-
c(32,40,20)c(40,40,12)c(24,24,12)+t(32,48,12)-*s(40,24,12)-
c(40,40,20)c(32,32,28)t(24,40,20)-*s(40,32,20)*c(40,16,12)-
s(40,48,12)s(32,8,12)c(24,32,12)+s(24,40,12)c(32,16,12)+*+
s(32,40,20)c(40,32,12)t(40,48,20)+*s(16,32,20)+s(40,32,20)-
t(40,48,20)s(40,16,12)s(40,32,28)s(40,24,28)*c(32,40,20)*+-
c(32,32,28)t(32,24,20)-s(24,40,20)c(24,24,12)t(40,16,12)+--
s(40,32,28)t(24,48,20)s(24,16,20)t(48,56,12)+c(40,16,12)-+-
s(24,32,20)s(40,16,20)+s(48,8,12)s(32,40,20)+*t(24,40,20)-
s(40,40,28)s(16,32,12)+c(32,32,28)s(32,40,20)c(40,24,12)--*
s(16,48,20)c(32,40,20)+s(24,40,28)*s(32,32,28)c(48,16,12)-*
s(32,24,28)s(24,32,20)s(32,24,28)s(48,24,12)c(16,32,12)+-+*
s(24,40,20)s(24,32,20)c(40,24,20)*-s(24,48,20)s(32,40,28)**
s(40,40,12)c(32,40,20)s(16,40,20)+t(32,40,12)-s(32,16,20)-+
s(24,40,28)s(40,48,20)s(24,48,20)-t(24,48,28)+*s(16,48,20)-
s(40,32,28)s(24,32,28)*c(24,48,12)s(32,16,20)+s(40,24,20)*-
s(40,40,28)s(40,24,28)c(32,48,12)c(40,16,12)+--s(24,24,28)-
c(16,40,12)t(40,40,20)+c(40,32,20)c(40,40,20)*s(32,40,28)**
t(32,16,12)s(48,16,12)s(8,40,12)+t(40,32,12)+s(48,40,20)-+
s(40,24,28)c(48,24,12)s(32,40,12)+-s(24,24,28)s(24,40,12)-*
c(24,40,20)s(40,32,20)-t(40,48,20)t(32,56,12)+-s(40,8,12)+
s(40,32,20)s(24,32,20)s(16,32,20)*t(24,32,20)*-t(32,40,28)*
t(40,24,20)c(24,32,20)s(24,48,20)*+t(24,24,12)t(24,48,28)+*
s(16,40,12)s(32,40,28)s(40,24,20)*c(40,24,20)s(24,32,28)-++
c(40,24,20)c(32,24,12)-s(32,32,28)s(24,40,12)-c(40,24,20)**
c(24,32,20)s(16,40,20)s(40,32,20)+s(32,48,20)t(16,48,12)+-*
t(40,40,20)s(8,8,12)+s(24,40,20)t(32,16,12)+-s(16,8,12)+
s(24,32,28)s(32,24,28)-t(24,48,28)+c(32,40,20)c(32,32,20)+-
s(24,32,20)t(32,32,28)t(48,32,12)+s(48,24,20)s(40,32,20)+**
s(48,48,20)t(48,32,12)+s(16,40,20)+c(40,24,20)+t(24,48,28)-
c(32,32,20)s(24,16,20)s(32,32,28)*t(32,40,20)-s(48,48,12)+*
s(32,24,28)s(24,48,20)+s(24,48,12)t(40,16,12)+t(24,56,12)--
s(16,16,12)c(40,40,20)c(32,40,12)-t(40,32,20)-t(32,48,20)++
t(32,32,28)s(24,32,28)*s(8,8,12)t(32,40,20)+s(48,40,20)+*
s(32,40,12)s(40,16,20)+c(24,24,20)c(16,40,12)+s(16,24,20)*-
c(40,40,20)s(24,40,12)s(24,40,20)s(16,24,20)-t(24,56,12)++*
c(40,16,12)s(16,24,20)s(24,32,28)s(24,24,28)**+s(32,24,12)-
s(48,24,20)s(16,48,20)s(40,16,20)+t(24,32,28)*s(16,32,20)*+
c(32,32,28)s(40,48,20)-c(40,40,20)s(32,32,20)s(48,32,12)-*-
c(48,16,12)s(32,32,28)+s(40,48,20)+c(40,48,12)-t(24,48,28)-
s(24,40,28)c(48,48,12)+c(32,24,12)-t(24,40,12)-c(32,40,20)-
s(24,40,20)c(32,32,20)s(24,24,20)s(16,40,12)--s(16,32,20)--
s(48,32,20)s(40,40,28)s(40,32,20)s(16,8,12)+**s(40,24,20)+
c(16,32,12)s(48,8,12)t(24,40,28)t(32,48,28)-t(32,48,12)+++
t(40,48,20)t(48,56,12)-c(24,24,20)s(8,32,12)-+c(24,40,20)*
t(48,40,12)t(24,32,28)s(32,32,28)*t(32,40,28)*t(16,16,12)++
t(32,40,28)c(32,24,20)c(24,40,20)*c(32,40,20)*s(48,40,12)--
s(24,40,28)t(24,48,28)t(32,40,20)-*c(32,32,28)*t(16,48,12)+
s(16,48,20)t(24,48,20)s(16,32,12)-c(32,48,12)s(8,40,12)+++
c(40,40,20)c(16,16,12)+s(40,16,20)+s(32,24,28)*t(40,40,12)-
s(24,40,28)c(32,32,20)s(16,32,20)s(40,16,20)+s(40,24,20)**-
s(32,16,20)c(32,40,12)+t(24,32,20)t(40,24,12)+t(16,48,12)+*
s(32,24,28)s(40,24,28)s(24,32,12)-*c(48,24,12)-s(40,16,20)+
s(16,40,20)s(48,40,20)c(40,40,20)c(40,32,20)*s(32,32,28)**+
c(24,40,20)c(24,32,20)c(24,16,12)-*s(32,24,20)c(32,40,20)+*
s(16,16,20)s(32,8,12)-s(24,8,12)t(48,24,12)+-s(24,40,20)+
s(48,48,12)t(24,40,28)s(40,32,20)-c(24,24,12)-+t(24,40,28)*
c(24,24,20)t(40,40,20)+s(24,24,28)*c(40,32,12)s(32,24,20)++
s(24,32,28)s(48,24,20)s(40,16,20)s(24,24,20)s(24,16,20)*+*-
s(40,24,12)s(40,24,28)s(40,40,28)*s(48,40,20)-t(24,40,20)++
c(32,32,28)s(32,24,28)s(32,40,12)-c(32,24,20)s(24,16,20)-*-
t(24,32,28)s(16,40,20)s(24,16,20)t(40,40,12)s(32,24,20)+-+-
s(32,24,28)t(40,24,12)-s(40,16,20)s(48,32,20)c(40,40,20)*-*
t(24,32,28)s(32,40,20)s(40,48,20)*s(40,8,12)+t(32,40,28)*-
t(24,32,28)s(40,32,28)s(24,48,20)t(24,32,28)+**t(32,24,20)+
t(32,48,28)c(32,24,20)c(24,24,20)*c(48,48,12)++s(24,32,28)*
t(40,40,12)s(24,32,20)+t(24,32,20)s(24,32,20)c(40,32,12)-*-
c(24,32,20)c(32,16,12)-c(40,32,20)*t(40,40,20)+s(24,40,28)*
s(16,24,20)s(8,16,12)-t(24,40,28)s(32,16,20)t(16,48,12)+*-
c(24,48,12)t(16,32,12)t(40,40,20)s(40,32,20)*++s(32,32,20)*
t(32,40,28)c(40,24,20)s(40,32,28)*-c(40,40,12)c(32,32,12)+-
s(8,32,12)t(32,48,20)c(24,32,20)s(24,48,20)*++s(16,32,20)*
t(24,32,28)c(32,32,20)*t(24,24,12)t(40,40,12)c(24,16,12)++*
c(40,24,12)s(40,40,12)+c(32,32,28)t(32,48,28)-s(48,32,20)+*
c(24,32,20)s(32,48,20)s(40,40,20)c(32,24,12)-t(48,32,12)---
t(24,40,20)t(32,24,12)+t(40,40,20)c(40,24,20)s(32,40,28)*+*
s(32,24,28)c(48,32,12)s(16,40,20)+s(24,40,28)*+c(40,24,20)-
s(24,32,20)t(32,40,28)s(40,24,28)-s(32,40,20)++s(48,40,20)*
s(16,16,20)s(16,24,20)t(32,32,28)c(32,24,12)-+s(48,48,20)-*
s(40,48,20)t(24,48,28)s(24,32,28)t(40,32,20)-s(8,48,12)+*+
t(24,32,28)t(16,48,12)+s(40,16,20)s(40,40,20)+*c(40,40,20)*
c(40,48,12)s(32,48,20)c(32,32,28)*+s(40,48,12)-s(48,48,12)+
s(16,24,20)c(16,32,12)t(24,48,20)c(48,40,12)+++s(48,48,20)-
c(32,32,28)s(8,40,12)s(48,40,20)++s(48,24,20)*s(40,40,12)+
s(40,32,28)c(32,24,20)*s(24,24,20)c(24,40,20)*c(40,16,12)+*
s(48,40,12)c(24,32,20)s(16,32,12)-s(24,24,20)*+s(40,24,28)*
t(24,32,28)c(24,32,20)*c(16,24,12)-s(32,40,20)*t(32,16,12)+
t(24,32,28)t(40,48,20)c(40,24,12)s(24,24,20)+++s(32,48,20)*
s(48,24,12)t(32,40,12)+c(32,32,28)c(40,48,12)-t(40,48,12)+*
t(32,24,20)s(32,24,20)s(40,32,20)s(24,32,20)--t(32,32,28)**
s(24,48,20)s(40,24,28)t(48,48,12)+t(32,32,28)s(32,40,28)+*-
t(40,56,12)s(48,48,12)t(24,40,28)+s(16,48,20)-c(32,40,12)-+
c(40,40,20)s(32,16,20)+s(40,48,20)t(24,40,12)+*t(32,48,20)*
c(24,32,20)c(24,32,20)s(48,24,12)+s(32,32,20)-*s(48,16,20)+
s(32,40,28)t(24,40,12)-s(8,24,12)s(16,48,12)c(48,24,12)++*
t(32,40,28)s(48,24,20)t(24,32,20)+s(40,48,12)+*c(40,40,20)*
t(32,48,28)t(32,40,28)c(24,48,12)-*s(16,24,20)+s(32,32,28)-
s(24,32,28)c(16,16,12)-c(32,24,20)s(32,32,28)*-s(16,48,12)+
s(48,24,20)s(48,40,20)s(32,48,12)+-c(32,40,12)+c(32,24,12)-
t(24,48,20)s(24,32,28)s(40,24,28)*c(40,24,12)-+s(32,32,28)*
s(40,24,20)t(48,56,12)s(24,32,12)+c(16,16,12)+t(24,32,20)-+
s(32,32,28)c(40,48,12)s(48,32,20)s(16,32,20)s(24,16,12)-++*
t(32,48,28)s(24,40,28)*c(32,32,20)t(40,24,20)c(32,40,12)--*
s(40,32,20)c(40,24,20)c(32,32,20)**s(32,48,12)t(32,24,20)+*
s(40,32,20)c(32,40,20)t(32,16,12)+*t(24,32,28)s(40,40,20)-+
s(32,40,28)s(48,24,12)s(32,32,20)+*s(24,40,28)t(24,32,28)**
s(40,40,20)c(24,24,20)+c(32,24,20)s(16,40,20)+*s(40,16,20)-
t(24,48,20)t(32,48,28)*c(32,48,12)t(24,32,12)t(24,56,12)+++
t(40,32,20)c(32,40,12)s(48,40,20)+t(32,48,28)*s(16,24,20)++
s(24,40,28)c(40,24,20)*t(40,56,12)s(40,40,20)t(40,48,20)*++
t(32,40,28)s(40,24,28)s(24,40,28)*t(48,40,12)t(40,16,12)+-*
c(24,24,12)s(48,24,20)+t(24,32,28)t(24,16,12)--s(40,32,28)*
c(32,24,20)t(24,32,28)t(32,48,12)s(16,40,12)++*c(16,40,12)-
c(48,24,12)s(16,32,20)+s(40,32,28)*s(40,32,28)c(32,32,12)-*
s(16,32,20)c(32,32,20)+s(32,24,20)-s(40,32,28)s(24,24,20)-*
s(24,32,20)t(24,48,28)s(16,40,12)--c(40,40,20)-s(32,8,12)+
t(32,40,20)s(48,24,12)+s(16,48,20)t(24,40,20)t(32,56,12)+*-
s(24,40,20)s(40,40,20)t(24,40,20)--t(24,48,28)*t(32,48,12)-
s(24,40,20)c(24,32,20)*s(48,32,20)-c(32,32,20)*s(16,24,20)+
s(32,48,20)t(32,40,20)-s(16,24,20)s(32,24,28)s(40,32,20)*-+
c(40,32,20)c(24,32,12)+s(48,24,12)-c(16,32,12)s(8,48,12)+-
c(16,16,12)t(32,16,12)+c(24,40,12)+c(48,32,12)s(24,32,20)+*
c(48,32,12)t(24,48,28)s(32,40,28)*s(24,32,28)t(32,32,28)**+
c(32,40,20)s(32,40,28)c(24,24,20)s(32,32,28)+*+t(24,32,12)-
s(48,40,20)s(48,16,20)s(40,24,20)*-t(24,48,28)-c(40,40,20)*
c(48,16,12)c(40,40,20)s(48,24,20)c(24,24,20)+*+c(32,32,28)*
c(40,32,20)s(48,40,20)*s(24,24,20)t(32,56,12)+t(24,48,12)+-
t(24,32,20)c(48,32,12)+s(40,40,20)t(48,32,12)-t(40,56,12)-+
s(32,40,20)t(32,48,28)+c(32,24,20)*s(40,24,12)+t(32,40,28)*
s(32,16,20)c(24,40,20)-s(40,16,20)*t(48,48,12)s(24,16,12)+-
s(40,24,20)s(24,24,28)s(48,40,20)-c(16,40,12)-c(24,32,12)--
t(32,32,28)c(24,40,20)t(24,16,12)s(32,48,12)+-*s(40,24,12)-
s(48,16,20)s(48,40,20)-t(32,32,28)+t(48,16,12)c(48,40,12)+*
s(40,40,28)c(32,40,20)t(48,16,12)+*c(40,48,12)-s(32,40,20)*
c(24,40,20)s(48,24,20)t(32,32,28)c(32,24,20)+*+s(16,48,20)+
s(16,32,12)s(32,24,28)c(32,40,20)s(24,24,12)-*+c(32,32,20)*
s(32,24,12)t(24,40,20)s(32,48,20)s(24,48,20)c(32,40,12)-+*+
s(40,24,20)c(32,32,12)s(16,40,12)+t(40,56,12)+s(32,16,20)+*
s(32,40,20)c(24,16,12)+c(32,40,20)t(24,48,20)*-t(24,40,28)*
s(24,40,28)s(48,32,20)t(32,32,28)*-s(40,40,20)s(24,32,28)*-
s(40,32,20)t(24,48,20)-c(32,32,28)s(24,40,20)s(40,40,20)*-*
s(48,16,20)c(40,24,20)s(40,32,20)t(24,24,20)-*+s(24,40,28)-
s(32,32,20)t(32,32,28)s(32,24,28)*s(16,40,12)t(40,40,20)+--
s(32,24,20)c(24,24,20)s(40,32,12)+s(8,32,12)c(40,32,20)+**
c(32,40,12)c(48,40,12)s(48,24,20)++s(16,40,20)c(32,32,20)*-
s(40,32,28)s(48,40,20)c(48,40,12)t(40,40,20)+c(32,24,12)-*-
s(40,32,28)t(24,40,28)*c(32,32,28)s(24,16,12)-*t(32,48,28)*
s(16,40,12)s(40,32,20)+c(16,48,12)+c(16,16,12)s(40,24,20)+*
s(32,40,28)t(24,48,28)s(24,8,12)+-t(24,56,12)s(32,32,20)+*
s(32,32,28)t(32,48,28)*s(16,32,20)s(32,24,28)s(24,40,28)*-+
s(24,48,20)s(8,40,12)-s(32,40,20)t(32,48,12)c(40,32,12)+*+
s(40,48,20)s(48,48,20)t(32,32,20)+*c(24,32,12)+c(40,48,12)-
s(40,40,28)s(32,24,20)+c(40,16,12)s(32,32,20)+*t(32,40,20)-
c(40,32,20)c(40,48,12)-s(32,24,12)-s(48,24,20)+c(40,40,12)-
t(24,24,20)s(16,16,12)-c(32,24,12)+s(16,40,12)c(48,40,12)++
s(32,24,28)s(16,40,20)c(24,48,12)-s(16,48,20)t(24,40,20)+*+
s(32,16,20)t(16,24,12)-c(40,32,20)t(32,32,28)c(40,16,12)-*+
c(32,40,20)c(24,32,20)c(16,16,12)-*c(40,48,12)-t(40,24,12)+
t(32,48,28)s(24,32,28)s(40,48,20)+*c(32,40,20)t(24,48,12)-*
s(40,48,12)s(16,24,20)+c(40,48,12)s(40,24,28)+s(40,40,28)**
t(48,24,12)t(24,40,28)+t(40,40,20)-t(24,40,28)s(24,48,20)**
s(48,48,20)t(32,40,12)+s(40,32,28)s(40,40,20)t(32,32,12)-**
s(40,24,12)s(40,48,20)+t(32,24,20)s(32,40,28)*-s(16,16,20)+
c(40,32,20)s(48,32,20)t(40,40,20)--s(48,48,20)s(8,16,12)+-
t(40,40,20)c(40,24,20)c(48,16,12)-+c(40,24,20)*s(40,8,12)+
t(16,56,12)c(40,40,20)s(40,32,20)*s(32,40,20)++c(24,16,12)+
c(24,40,20)c(40,24,20)-t(32,40,12)s(24,16,20)+s(32,24,28)*+
s(32,16,20)t(32,32,20)t(32,40,28)s(24,40,12)-s(32,16,12)++*
s(40,40,28)s(24,32,28)*t(40,16,12)s(40,40,20)+s(48,16,12)+*
c(32,40,20)s(32,40,12)-s(48,24,20)+s(8,24,12)+s(24,24,20)*
s(24,32,20)s(24,24,28)c(24,40,20)*+c(40,24,20)-s(16,40,20)*
c(32,24,20)s(40,32,28)s(32,24,28)*s(32,48,12)+*t(24,48,20)-
c(48,16,12)c(48,24,12)t(24,32,20)++s(32,40,28)*c(32,40,12)-
s(40,32,28)s(48,48,12)c(24,32,20)c(40,16,12)+s(40,40,20)*+*
t(16,40,12)s(16,16,20)c(24,16,12)-+s(40,32,20)+s(48,48,20)+
s(40,16,20)s(40,32,28)s(32,16,12)-t(40,16,12)+t(48,48,12)-+
t(32,48,28)c(32,40,20)+c(24,24,12)s(40,32,20)+c(16,48,12)+*
s(32,16,20)c(48,24,12)t(32,32,28)+s(32,40,20)*-s(24,16,12)-
s(40,48,20)t(32,32,28)c(32,24,20)s(40,16,20)*t(48,32,12)---
s(40,32,28)t(16,16,12)+t(32,24,12)s(16,32,20)t(16,16,12)-+*
s(32,40,28)t(24,48,28)t(24,24,20)-*c(40,40,12)-s(32,48,20)*
s(24,16,12)c(40,24,20)t(24,32,12)-+c(24,24,12)+s(32,16,20)*
s(40,24,20)t(32,40,28)+c(24,32,20)t(24,48,28)t(40,32,12)+*-
t(16,24,12)t(32,24,20)+s(32,32,20)t(16,56,12)++t(24,24,20)*
t(40,48,12)s(8,40,12)c(40,32,20)+s(32,24,28)c(48,40,12)+*+
t(24,40,28)s(32,24,12)+t(32,40,12)-s(32,32,28)*s(48,32,20)+
s(24,32,20)c(32,32,20)s(40,32,28)*s(24,40,28)s(40,40,28)***
t(40,48,20)t(32,48,12)-c(32,40,20)s(16,32,20)-t(24,40,28)*+
s(24,24,20)s(40,24,20)s(48,16,20)+*s(8,40,12)t(32,48,20)++
t(32,32,28)s(48,24,20)c(24,32,12)t(24,24,20)++*c(32,40,12)-
s(48,32,20)s(40,48,20)c(40,24,20)t(32,40,28)*-+s(8,48,12)+
s(16,40,20)s(8,32,12)t(40,40,20)+c(24,24,20)+c(40,24,12)-*
c(40,16,12)s(40,24,12)c(32,40,12)+c(24,48,12)-+t(48,56,12)+
t(32,56,12)s(24,32,28)s(48,24,20)-s(32,24,12)+c(32,16,12)-+
c(40,40,20)c(24,24,20)s(16,48,20)--s(48,40,20)*t(16,16,12)+
t(32,32,28)s(32,40,20)t(24,32,12)--s(32,40,12)+s(24,40,20)+
s(40,24,28)t(32,48,20)+s(24,24,28)s(24,24,20)t(48,32,12)+**
t(24,48,28)s(32,16,20)t(32,32,28)-s(32,24,28)s(24,32,20)*++
s(24,24,28)s(32,32,20)c(32,40,20)**t(16,32,12)+s(24,32,20)+
c(16,16,12)c(32,24,20)c(48,32,12)-s(16,24,12)-s(24,16,20)*+
s(32,32,12)s(32,24,28)c(40,16,12)s(24,16,20)+-+c(40,24,20)*
s(40,24,20)t(32,56,12)s(32,32,28)s(40,40,28)*s(32,16,20)++*
s(32,32,28)t(24,24,12)-c(32,40,20)c(24,24,12)-s(32,48,20)**
s(40,32,28)s(24,40,28)*c(24,32,20)c(24,24,20)s(16,40,12)-**
s(24,32,12)t(32,24,12)+t(40,32,20)+s(40,32,28)s(24,32,28)**
s(32,32,28)c(32,32,20)s(40,32,28)*-t(32,32,20)t(48,24,12)+-
s(24,32,28)t(24,32,28)s(16,32,12)-*t(40,40,20)s(40,48,20)*+
c(24,24,12)c(24,40,20)s(32,24,20)-+c(24,40,20)s(40,40,28)**
s(40,32,12)t(24,48,28)c(40,40,20)*+c(32,32,12)s(8,24,12)+-
s(16,8,12)t(32,48,28)+c(32,32,28)t(40,48,20)-c(16,40,12)--
s(32,40,20)t(24,32,12)-c(32,24,20)+t(40,24,12)s(32,40,12)+-
c(40,32,20)t(32,40,28)s(32,32,20)**c(32,24,20)t(40,32,20)--
t(48,40,12)s(16,24,20)t(48,16,12)+s(40,16,20)-+c(24,24,20)*
t(32,48,28)s(16,48,12)-c(16,40,12)+s(16,32,20)+c(32,48,12)-
c(40,40,20)s(16,16,20)s(8,24,12)-t(24,24,20)++t(32,48,28)*
s(32,40,20)t(16,24,12)+t(40,56,12)t(32,40,28)+s(24,16,20)-*
s(48,48,12)s(16,32,20)+s(24,24,28)-s(24,32,20)+s(24,48,20)-
s(8,32,12)s(40,40,28)s(24,24,28)t(24,24,12)-s(16,16,20)*++
s(40,40,20)t(32,32,20)s(40,48,12)+*s(40,32,20)t(40,16,12)-*
c(40,24,20)c(24,48,12)c(40,40,20)c(32,24,12)-s(32,24,28)-++
c(48,48,12)t(32,48,20)+s(24,40,28)s(32,40,28)c(24,24,20)-**
c(24,32,20)s(24,24,28)t(40,32,20)s(32,48,20)+*c(40,48,12)+*
s(48,24,12)s(40,32,28)t(24,48,20)-t(40,32,12)s(24,24,20)+*+
t(32,48,12)t(32,24,20)s(40,32,20)++t(32,40,12)-s(24,40,28)*
t(40,32,20)s(48,32,20)s(48,24,20)*+c(24,24,12)+s(32,40,28)*
s(32,48,20)s(24,16,12)s(24,48,20)+*s(8,32,12)+t(24,40,20)-
s(32,40,28)c(48,24,12)+t(24,48,28)*c(32,40,20)s(48,48,12)-+
s(16,40,20)t(32,16,12)s(24,32,20)c(40,40,20)t(32,48,20)*-++
c(24,24,20)s(32,48,12)s(16,24,20)+t(32,32,20)-*t(24,40,20)-
t(24,48,28)c(32,32,28)*s(24,32,20)t(32,48,12)+c(40,40,12)-*
c(24,32,20)s(24,24,28)*s(32,40,28)s(40,48,20)s(40,32,28)*-+
s(32,32,20)c(32,40,20)c(40,16,12)s(16,48,20)c(32,24,20)-+-*
s(48,24,20)s(32,24,28)t(40,24,12)-t(32,40,28)+s(40,24,28)**
s(32,32,20)t(24,40,20)t(24,48,12)+-s(8,48,12)+s(40,40,20)-
t(40,16,12)s(16,32,20)+s(24,16,20)-c(24,40,12)t(32,24,20)+-
t(32,32,28)s(40,48,20)t(32,40,28)*s(8,24,12)s(48,24,12)++*
t(32,32,28)c(24,24,20)*s(48,32,20)-c(32,40,20)t(24,32,20)-+
s(40,24,28)c(40,40,20)t(24,24,20)+s(40,32,20)*-s(24,32,20)+
s(40,40,28)s(8,48,12)t(16,24,12)c(24,32,20)c(32,32,20)*++*
s(48,16,20)s(16,24,12)t(32,24,20)+-c(24,40,12)+c(24,40,12)-
s(32,32,20)s(48,16,20)s(24,40,28)+*t(32,48,20)+s(40,40,20)-
s(32,40,28)s(48,40,20)-t(24,48,28)s(24,32,20)s(40,24,28)*--
s(40,32,28)t(16,40,12)+c(32,24,20)c(40,40,12)-*s(40,32,12)+
s(32,40,12)s(16,32,12)+s(48,40,20)-s(32,40,12)+t(24,40,28)*
t(32,16,12)c(40,32,20)s(40,32,28)s(40,40,12)s(48,8,12)+*-+
c(24,24,20)t(24,48,28)t(32,48,20)-s(16,24,12)t(24,24,12)++*
c(32,32,12)t(40,40,20)s(40,24,12)+t(24,32,28)-+s(40,24,20)*
s(32,40,28)s(32,32,28)+s(48,48,20)s(40,24,20)-s(32,40,12)--
s(40,32,20)t(32,40,28)*t(16,56,12)+t(40,40,20)s(16,32,20)+*
s(24,16,12)s(40,32,28)t(40,48,20)t(24,24,12)++c(24,32,20)-+
c(32,24,20)s(16,16,20)s(40,24,20)c(40,32,12)--c(40,32,12)+*
t(24,32,20)s(32,24,28)t(32,24,12)t(40,24,20)+-c(24,40,12)+*
s(16,40,20)t(48,40,12)+c(24,32,12)s(48,48,12)++s(24,48,20)*
c(24,32,12)c(24,40,20)c(40,32,12)c(24,48,12)+*s(24,40,20)*+
s(24,16,20)s(24,32,28)t(32,40,28)s(32,24,12)-t(16,40,12)--+
c(24,32,20)s(16,32,20)c(24,40,20)+*s(24,16,20)-s(24,40,20)*
s(24,32,28)s(48,16,12)+c(24,32,20)t(32,24,20)-c(16,32,12)--
s(24,24,28)t(32,40,28)s(24,8,12)t(32,40,20)+*t(48,48,12)+-
s(32,24,28)s(40,24,28)s(48,16,12)c(32,40,12)+-s(48,24,20)-*
s(8,48,12)s(48,32,20)+s(32,24,28)s(32,48,20)--t(32,24,20)+
t(40,56,12)c(24,48,12)s(40,24,20)t(40,32,20)*+c(32,32,12)-+
c(24,24,20)s(32,40,28)*c(40,32,20)s(32,32,20)*s(16,40,12)+*
s(48,24,20)s(40,32,28)t(32,40,28)*s(32,32,28)s(40,40,20)--+
t(32,32,28)t(32,32,28)c(24,16,12)-c(24,32,12)--c(40,16,12)+
s(32,40,28)s(32,48,20)c(40,40,20)s(48,32,20)-+*s(16,48,20)-
t(16,40,12)s(16,40,20)c(24,24,20)-t(24,24,20)+c(32,40,20)*+
s(32,40,28)c(24,24,12)-s(32,32,28)*t(24,48,12)-c(32,32,12)-
c(32,16,12)t(24,48,20)s(48,48,20)c(24,24,12)++t(48,16,12)++
t(24,40,28)c(24,32,20)t(40,32,12)-s(16,32,20)t(40,32,20)+*-
c(32,32,28)s(24,40,28)s(24,8,12)s(48,48,20)+--s(24,24,28)*
t(16,40,12)c(40,32,20)c(32,40,20)s(40,32,20)t(24,48,20)-*-+
t(32,56,12)s(16,48,12)t(32,40,12)++c(32,24,20)t(40,16,12)--
s(16,24,20)s(48,16,20)s(40,24,20)t(40,40,20)++c(40,32,20)-+
s(24,40,28)s(16,32,20)t(32,24,20)s(48,8,12)++*s(32,40,20)*
c(32,32,28)s(24,48,20)*t(24,32,20)c(48,24,12)+t(40,48,20)+*
t(48,32,12)c(32,32,28)s(32,40,20)s(48,48,20)+-+t(16,16,12)-
s(24,32,28)t(24,24,20)t(40,32,20)+c(24,32,20)t(32,48,20)---
t(32,32,28)c(32,24,20)t(40,32,20)c(24,24,20)+c(16,40,12)+**
s(40,24,28)s(48,8,12)s(32,40,12)+s(40,8,12)-c(40,24,12)+*
s(16,16,20)t(24,40,20)c(24,24,20)+s(40,16,20)*-s(40,40,20)+
t(24,40,28)t(48,48,12)+s(32,32,28)s(32,48,20)+c(48,32,12)-*
t(24,48,28)t(32,48,20)*s(32,32,28)s(40,16,20)*+t(32,40,20)-
s(48,16,20)s(48,24,20)s(40,32,28)*t(16,56,12)+s(32,24,20)-+
s(16,16,20)t(24,32,28)c(32,40,20)+t(24,40,28)s(16,40,12)---
s(48,24,12)t(32,48,28)c(48,40,12)-+t(48,48,12)s(24,32,28)+*
s(40,24,28)s(24,32,20)s(32,40,28)*-s(48,16,20)*s(40,24,12)-
t(32,24,20)s(40,16,12)s(32,40,20)s(32,24,12)-++s(40,24,20)*
s(32,32,28)c(32,40,20)t(32,40,20)-t(32,40,28)s(32,24,28)+**
s(32,40,28)t(48,40,12)-t(24,24,20)s(16,48,20)s(16,40,20)*+*
t(32,56,12)c(32,24,12)c(32,16,12)++c(40,24,20)*t(32,56,12)+
c(40,40,20)s(40,40,28)s(32,40,28)s(24,48,12)-**c(24,40,12)-
s(40,32,28)t(32,24,12)-s(32,40,12)-s(40,40,28)*t(48,16,12)+
s(32,40,28)s(40,24,20)+s(32,16,12)-s(40,24,20)*t(48,56,12)+
c(16,40,12)s(48,40,12)s(8,8,12)++s(16,48,12)+s(40,40,28)*
s(8,16,12)s(48,8,12)+s(40,24,20)s(32,32,28)*+t(32,24,20)*
s(40,32,20)s(24,24,20)c(24,16,12)c(40,40,20)t(32,48,28)*+*-
c(16,48,12)c(40,40,20)s(24,24,28)s(32,16,20)*s(16,24,20)--+
t(40,24,12)s(40,40,20)s(24,48,20)c(24,40,20)*t(24,48,28)*-+
s(48,40,12)c(48,24,12)s(24,32,28)+s(32,40,20)*+s(48,32,12)-
c(40,24,20)t(24,40,20)s(24,24,20)+*s(48,8,12)+c(32,32,20)*
s(24,24,12)t(24,48,20)+t(24,48,20)s(32,24,12)+*t(16,56,12)-
s(24,40,28)s(48,48,20)-t(32,32,28)s(16,48,20)s(24,40,28)*--
c(32,40,20)t(24,32,28)c(24,24,20)*t(16,16,12)-*c(32,24,20)*
c(40,40,20)c(40,40,20)c(16,40,12)+s(8,8,12)+s(16,48,20)-*
s(40,40,28)s(48,16,20)s(40,16,12)--c(40,24,20)*s(40,24,12)-
s(32,32,28)s(24,24,20)*t(32,32,20)s(24,32,20)*+s(32,40,12)-
s(24,24,20)c(24,32,20)t(32,48,28)c(40,24,20)+t(32,40,28)*+*
s(8,40,12)t(24,40,20)c(32,32,20)s(32,40,20)**+s(48,16,20)+
s(24,32,28)s(40,24,20)s(48,24,12)-s(24,16,20)+c(32,16,12)-*
c(32,40,20)s(40,8,12)+s(40,32,12)-s(32,16,12)t(32,24,20)+-
s(40,40,20)t(16,48,12)+s(24,24,28)s(48,32,20)s(48,16,20)+*+
s(32,32,28)s(40,48,12)s(32,32,20)+s(40,40,28)s(24,40,12)-**
s(32,24,12)t(32,48,20)+c(48,48,12)-s(24,48,20)t(24,40,20)--
s(8,24,12)c(40,24,20)s(16,16,12)c(16,48,12)+++t(32,32,28)-
s(32,40,28)s(24,16,20)c(40,40,20)+c(32,40,12)-t(32,32,28)*-
s(24,32,28)s(16,48,20)-s(32,24,28)*s(24,40,12)t(40,32,20)+-
s(32,40,28)t(32,48,12)-s(48,48,20)s(32,32,28)-t(40,24,20)+*
s(32,32,28)s(32,8,12)s(16,40,20)t(16,24,12)-+*s(24,48,20)+
c(32,40,20)t(32,48,12)-c(16,24,12)+s(16,16,20)c(24,24,20)*-
t(24,48,28)s(24,24,20)c(40,32,20)+-c(24,40,20)s(40,32,28)*-
s(32,24,28)s(48,16,12)s(48,40,12)s(40,32,28)s(24,24,20)*++*
c(24,24,20)s(24,24,28)t(24,24,20)-t(24,40,12)--s(32,32,12)-
s(24,32,20)s(24,16,20)t(40,24,20)+c(24,24,20)*+s(32,16,20)*
t(32,48,28)c(32,40,20)c(48,32,12)c(24,24,12)++*s(32,40,20)*
s(16,40,20)t(32,32,28)s(24,32,28)s(40,24,12)-s(16,24,20)*--
c(32,40,20)t(48,56,12)c(32,16,12)+s(40,24,28)t(24,40,20)-+*
c(32,32,20)t(32,32,28)c(48,24,12)-t(40,24,12)c(32,24,12)+-*
t(32,32,28)s(32,24,12)s(32,32,28)c(40,32,12)t(32,16,12)+-+*
s(32,24,28)s(40,32,28)*s(24,24,28)t(40,24,12)-s(8,16,12)--
s(32,32,20)s(24,48,20)t(32,48,28)t(24,16,12)++*t(32,48,12)-
t(32,40,28)t(32,40,20)t(32,16,12)+s(24,32,20)*-s(32,24,28)-
s(40,48,20)t(24,40,28)s(32,24,28)*+t(48,56,12)-s(16,16,20)-
t(40,48,12)s(8,8,12)+s(32,24,28)t(48,32,12)-t(32,32,28)--
t(24,24,20)c(32,32,28)s(32,16,20)t(24,32,20)+**c(16,40,12)+
c(32,40,20)s(32,24,20)t(40,16,12)s(40,24,12)+--c(24,16,12)+
c(24,40,20)s(32,48,20)s(24,40,28)*s(16,8,12)c(32,40,12)++*
c(40,24,20)t(40,40,12)s(40,24,20)s(48,24,12)-+t(24,24,12)+*
t(48,32,12)s(16,32,20)c(32,48,12)s(16,24,12)+s(40,40,28)+*+
c(40,24,20)c(24,24,20)c(40,16,12)-+c(16,24,12)-s(48,32,12)-
c(32,32,20)s(40,24,28)*c(40,32,20)s(40,48,20)-s(48,16,12)-*
t(16,24,12)s(32,32,28)t(24,16,12)t(24,32,20)s(32,32,12)++-+
t(24,40,12)t(32,48,28)s(40,32,20)s(48,24,12)-t(48,48,12)--+
t(24,32,12)t(32,48,28)c(24,40,20)t(24,48,28)t(16,48,12)-*-+
s(40,24,28)s(24,32,20)s(24,24,20)s(32,24,12)-s(24,32,28)*--
s(24,32,28)c(40,32,20)c(16,48,12)+t(48,32,12)-*t(32,32,20)-
s(8,24,12)s(40,32,28)s(48,16,20)*+t(24,32,28)-s(40,32,20)-
s(32,48,12)c(32,32,12)+s(32,16,20)s(24,24,20)*+s(24,40,20)*
c(16,40,12)c(16,16,12)+t(24,32,28)s(32,24,20)t(24,24,20)*--
s(16,24,12)c(32,24,20)t(32,40,28)s(32,16,12)+s(40,40,20)*-+
t(16,48,12)t(24,32,28)s(24,48,20)*s(48,40,20)+t(32,40,28)*+
t(24,32,20)s(48,24,20)+s(40,40,20)+s(32,24,20)*s(40,8,12)-
s(40,24,28)t(32,16,12)s(32,32,12)+-c(40,24,20)+c(16,16,12)+
s(40,16,20)s(48,48,20)+s(24,40,28)c(32,32,20)*t(16,40,12)--
s(40,40,28)s(24,40,28)c(40,24,20)+*s(24,16,12)+s(48,32,20)*
s(16,8,12)c(32,40,20)+s(40,16,20)s(40,32,28)+s(24,32,28)*-
c(32,32,20)t(32,32,28)*t(40,40,12)-s(24,48,20)t(32,48,28)*-
s(16,24,20)s(24,40,28)c(32,40,20)s(24,40,20)c(32,40,20)*---
c(32,24,20)s(24,48,20)-t(40,24,20)s(32,48,20)+c(32,16,12)--
t(16,40,12)c(24,32,12)+s(32,40,28)s(16,32,20)c(24,16,12)+*+
t(24,24,20)s(16,40,20)c(40,24,20)c(32,32,20)*-s(32,48,12)--
s(48,24,20)t(40,24,20)+s(24,48,20)s(40,8,12)+-s(40,32,12)-
c(40,40,12)s(8,40,12)+c(48,40,12)-s(32,24,28)t(24,40,28)*+
c(24,24,20)s(24,48,20)+c(24,32,20)s(40,40,12)t(40,16,12)++*
s(40,16,20)s(48,32,20)+t(32,40,28)c(24,40,20)s(32,32,28)*+*
t(24,48,28)t(16,16,12)t(24,32,28)c(16,32,12)t(24,32,12)+*+-
t(24,32,28)s(40,24,20)s(32,16,20)+c(48,24,12)-s(24,32,28)**
c(24,40,12)t(24,40,28)s(32,24,28)-c(48,32,12)++s(40,40,20)-
c(40,40,20)t(32,48,20)c(24,32,20)c(40,32,12)-+s(32,48,20)**
c(24,32,20)s(24,24,20)s(32,24,28)s(24,16,20)**s(40,8,12)--
s(32,16,12)s(24,24,28)s(32,16,20)s(32,24,12)-*+c(32,32,12)-
s(16,48,20)c(32,32,20)t(40,32,20)s(24,40,12)---s(16,40,20)+
s(40,40,28)c(32,40,20)*c(32,24,20)*s(48,16,12)t(24,56,12)++
t(40,56,12)c(40,32,20)s(24,32,28)*c(48,24,12)+s(48,40,20)*+
s(40,24,12)s(32,32,28)s(40,24,28)-s(8,40,12)-s(32,40,28)*+
s(24,16,20)s(40,48,12)+s(40,32,28)s(24,24,20)t(48,48,12)+**
t(24,40,28)s(16,40,20)c(24,32,20)*s(32,32,20)s(32,48,20)*+*
s(48,24,20)s(48,32,20)t(40,32,20)+s(32,40,12)-+s(40,48,20)-
t(40,24,12)c(32,40,12)s(16,40,20)t(24,24,20)-+c(32,32,20)*+
t(16,56,12)s(40,48,20)s(40,40,12)-+t(40,56,12)-c(24,32,20)-
t(32,40,12)s(32,24,20)s(16,24,12)c(32,32,12)++s(32,48,20)-+
s(24,32,20)s(24,40,28)s(24,32,28)c(32,40,20)*s(24,16,20)---
s(24,24,12)t(32,32,20)c(24,48,12)-+t(48,16,12)+t(32,16,12)-
s(32,32,28)s(32,16,12)-s(32,16,20)-c(32,24,20)s(40,24,20)*-
s(48,40,12)s(32,48,12)s(48,32,12)+s(24,40,20)c(32,40,20)*++
s(40,32,28)c(32,32,20)s(32,16,20)c(24,24,20)*-*s(24,48,12)-
t(32,40,28)s(32,24,20)c(32,24,20)c(40,24,20)**s(16,32,20)+-
s(40,24,12)c(40,24,20)c(32,32,12)-s(32,32,28)*+t(40,24,20)+
t(40,40,12)s(32,16,12)+t(32,32,28)s(32,24,28)s(24,32,20)--+
c(48,16,12)s(40,16,12)s(8,32,12)+c(24,40,12)++t(40,40,20)-
s(40,48,12)s(24,24,28)+s(8,48,12)t(32,32,28)s(24,32,20)++*
s(40,40,28)c(40,32,20)*s(32,24,28)s(48,24,20)*s(32,32,20)+*
s(40,32,20)c(32,40,20)t(32,48,28)++t(40,40,20)s(8,8,12)+*
t(32,48,28)c(48,40,12)-t(16,56,12)-s(32,24,20)-t(48,56,12)-
c(40,40,20)c(16,48,12)t(24,24,12)+-t(24,48,20)t(32,40,20)++
c(32,32,12)t(16,16,12)s(40,16,20)+c(24,16,12)c(16,32,12)+-+
s(40,32,20)t(32,48,20)t(32,32,20)+s(24,48,20)*s(32,32,12)-+
s(32,32,28)s(24,24,20)t(32,56,12)+s(24,32,28)c(40,48,12)+*-
s(16,48,20)t(48,56,12)s(32,40,20)+c(40,40,20)s(40,32,12)-*-
c(32,32,20)s(48,24,20)s(40,32,28)t(32,32,28)t(24,56,12)+-+-
t(40,32,12)t(40,48,20)+s(24,24,28)t(24,48,20)+s(32,32,20)*+
t(40,24,20)s(40,16,20)s(24,32,12)+s(40,40,28)-c(24,24,12)--
c(40,40,20)t(40,32,20)t(40,56,12)c(40,24,20)+t(24,40,20)-*-
s(40,48,20)t(32,40,12)-s(24,32,28)s(40,24,20)s(24,40,20)-+-
s(40,32,20)t(32,40,28)s(48,40,20)c(24,24,20)t(16,32,12)-+*+
t(24,40,20)t(24,32,20)c(32,40,12)+*s(40,32,20)+s(24,32,12)-
s(32,16,20)c(16,40,12)c(16,48,12)+s(24,8,12)+c(48,16,12)++
c(40,24,20)s(40,32,28)s(32,48,20)*+s(32,32,20)*t(16,40,12)+
s(48,48,12)s(40,24,12)+s(40,48,20)+s(48,32,20)t(48,16,12)--
s(32,40,28)t(16,40,12)-t(48,32,12)s(24,32,20)+c(16,24,12)-*
s(40,8,12)c(32,32,20)+s(48,24,20)c(48,48,12)t(48,56,12)++-
s(40,48,20)t(24,40,28)-s(16,32,12)s(32,40,12)++t(24,40,12)-
s(24,48,20)t(32,32,28)s(48,40,20)c(40,40,20)c(32,24,20)-*++
s(32,48,20)s(24,32,20)c(24,16,12)-t(40,40,20)--t(32,48,20)*
c(24,32,20)t(24,16,12)-s(24,24,20)*s(40,40,12)+c(16,40,12)-
s(24,32,28)s(24,16,20)+s(8,32,12)-c(24,48,12)-s(24,40,28)-
s(32,24,28)s(16,40,20)c(32,32,28)s(40,32,28)--t(40,24,20)+*
s(32,24,28)c(24,32,20)s(24,40,20)c(40,40,20)+*s(24,24,12)-*
s(16,24,20)s(24,32,20)*s(40,40,20)s(32,24,20)+s(24,32,28)*+
s(48,32,20)c(32,24,20)t(32,24,20)--s(16,24,12)+s(16,32,12)-
s(32,48,20)t(40,56,12)s(32,40,28)s(32,24,28)*+*t(24,48,12)+
c(24,24,20)s(40,24,28)s(32,32,28)c(32,48,12)s(24,32,12)+-*-
c(24,24,12)s(40,32,20)c(40,16,12)-+s(24,32,28)t(16,32,12)-*
c(32,40,20)s(24,24,28)s(24,16,20)-t(32,24,12)+c(16,48,12)-*
s(24,32,20)t(24,40,20)t(40,48,20)-s(48,16,12)+s(24,8,12)+-
s(32,24,28)s(24,40,20)s(24,24,20)+*s(40,40,12)-s(24,16,20)+
s(24,40,28)s(16,48,20)*t(32,48,20)-t(40,48,20)+t(32,40,28)*
t(24,40,12)s(40,16,20)t(40,24,20)*+s(40,32,28)s(24,24,20)-+
t(40,24,20)s(16,32,20)+s(32,48,20)s(24,24,28)s(16,32,12)-+-
c(32,32,28)s(40,48,20)c(32,32,12)+t(24,40,20)-s(32,16,20)--
s(32,32,28)c(24,40,20)t(32,32,28)c(40,48,12)+*-t(16,24,12)-
s(16,16,20)s(16,32,20)*s(48,40,20)+s(32,24,28)c(32,24,12)--
c(40,16,12)t(32,32,28)c(24,40,20)*+t(24,48,28)+s(24,24,28)*
c(24,24,12)s(40,8,12)c(40,32,20)t(32,40,28)s(24,48,20)--++
t(16,24,12)t(40,40,20)t(32,48,28)+t(32,56,12)-+s(40,32,28)-
s(16,48,12)t(32,40,20)s(32,32,20)*+t(32,32,20)+c(40,40,20)*
s(48,48,20)c(40,32,12)t(24,40,28)t(24,40,20)-+c(32,32,12)++
s(32,32,28)c(24,16,12)s(32,24,20)+s(16,8,12)--s(24,32,28)*
s(16,24,20)t(24,32,28)+s(24,40,20)-c(32,40,20)c(48,24,12)+-
s(40,48,20)c(24,40,12)+s(40,40,28)*c(32,24,12)+s(40,48,20)-
t(24,40,20)c(24,32,12)s(40,32,20)t(48,24,12)-++t(24,32,20)*
s(32,24,20)t(32,16,12)-s(32,32,20)s(40,16,12)-s(40,48,12)-*
s(40,32,20)t(40,56,12)s(8,8,12)+s(32,32,20)s(24,32,20)*+*
t(32,40,20)t(24,32,20)+c(32,24,20)+t(32,32,28)s(48,40,20)+*
t(32,32,28)t(32,40,28)c(40,24,12)s(24,32,20)+s(24,24,28)**-
c(24,32,20)s(32,40,28)s(24,24,20)t(32,40,28)+*+s(40,32,20)-
c(24,32,20)t(16,24,12)s(16,8,12)+-t(32,16,12)-c(40,24,12)-
c(32,32,28)s(48,48,20)s(40,40,28)*-s(32,24,28)*t(16,40,12)-
s(32,24,12)s(48,48,20)+t(24,48,12)+t(32,40,28)s(32,32,20)*+
s(16,16,12)c(32,32,12)+t(24,40,20)s(40,32,20)+*t(32,48,12)+
s(48,40,20)s(8,48,12)c(32,24,12)+-c(24,32,20)-t(24,16,12)+
t(24,48,28)c(24,40,20)t(24,40,12)-*s(24,40,20)*s(8,16,12)+
c(32,40,20)t(32,48,28)s(48,48,20)*-s(16,8,12)s(40,32,20)+-
t(32,24,20)c(48,16,12)s(48,24,20)c(32,40,12)+s(40,32,20)-++
s(24,24,28)s(16,24,12)-s(8,32,12)-s(24,40,28)t(24,40,12)-*
s(40,24,28)c(32,24,20)s(32,32,20)t(16,32,12)-*-c(40,24,12)+
s(48,40,20)c(40,40,20)s(24,40,28)-*t(32,40,20)+s(8,16,12)+
s(32,32,20)s(32,16,12)-s(40,48,20)-s(48,32,20)+c(24,32,20)-
s(32,48,20)t(40,56,12)t(32,48,12)s(8,40,12)++s(32,48,12)+*
c(32,40,12)t(24,48,20)s(8,24,12)+t(16,32,12)-s(24,40,28)*+
s(48,48,20)c(40,24,20)+s(32,24,20)s(32,40,12)s(16,24,20)++-
s(48,32,20)c(24,32,12)t(32,32,28)s(24,32,12)-+*t(32,48,28)+
s(40,24,28)s(40,40,20)*s(24,32,20)+s(16,16,20)-s(40,40,20)+
c(16,40,12)s(24,24,20)+t(24,32,28)*t(32,40,20)c(16,32,12)+*
t(24,40,20)s(40,32,28)+c(24,24,12)-c(32,24,12)+t(32,48,28)*
c(48,40,12)s(24,24,20)s(8,32,12)t(40,16,12)+-+c(32,32,12)-
t(32,32,28)t(32,16,12)-s(24,24,28)t(40,32,20)c(24,32,20)+**
s(24,40,12)c(40,32,20)c(32,40,20)s(40,16,20)-s(32,32,20)**+
s(40,16,12)t(24,32,28)+s(24,24,20)*t(24,40,20)t(32,32,12)--
s(16,48,20)s(32,32,28)t(40,48,20)s(24,32,28)+*+s(48,48,20)-
s(40,24,28)s(32,32,28)c(24,40,20)-s(24,24,20)+*c(24,24,20)*
s(40,40,20)s(32,40,20)s(40,32,20)t(24,32,28)+*s(48,16,20)+*
s(32,24,20)s(16,24,20)t(24,24,12)s(48,32,20)+c(32,32,12)---
c(32,16,12)t(24,32,28)t(40,32,20)+t(40,32,12)-+s(24,24,28)*
s(24,32,20)s(32,32,28)s(32,48,12)-+s(16,24,20)-s(48,40,12)-
s(24,32,28)c(32,24,20)s(8,32,12)+c(32,40,12)+s(16,24,20)-*
c(32,32,20)c(16,32,12)s(40,24,28)+*s(24,16,12)-s(32,40,20)*
t(24,48,20)c(48,16,12)+s(40,40,28)c(24,40,12)t(24,56,12)++*
s(16,40,20)t(40,24,20)+s(48,40,20)t(24,40,28)-s(32,48,20)--
c(32,24,20)c(40,32,20)*s(24,16,20)s(24,32,20)+*c(16,16,12)+
c(40,48,12)s(32,32,20)s(16,32,12)-s(32,24,12)-+s(40,32,20)*
s(32,32,28)s(40,24,28)+s(16,24,20)s(16,48,20)--c(40,24,20)*
s(40,40,20)c(32,40,20)s(24,48,12)-s(32,48,12)-*t(48,24,12)+
t(32,32,28)c(24,32,20)*s(40,32,28)s(32,40,20)t(40,40,20)+**
s(24,32,20)s(16,24,20)c(40,32,20)-s(8,8,12)-s(40,40,12)+*
s(24,40,28)s(16,32,12)c(24,16,12)+-s(40,48,12)s(40,24,20)+*
t(24,32,28)c(32,32,20)s(16,16,20)s(24,32,20)++s(48,24,20)-*
s(24,32,28)c(40,32,12)c(24,16,12)++c(40,24,20)s(32,16,20)**
s(24,40,28)t(32,32,12)c(40,24,12)t(48,16,12)++s(48,48,20)--
t(32,40,20)s(24,40,20)+c(32,32,20)t(24,40,20)t(16,16,12)+**
t(24,48,28)s(24,40,28)*c(32,24,20)-s(24,40,28)s(40,40,20)-*
t(40,24,12)s(32,40,20)+t(32,40,12)t(16,56,12)+-s(24,32,20)+
s(24,32,28)s(24,32,20)s(40,40,28)*s(32,24,28)*s(32,40,20)+*
c(32,40,20)c(40,40,20)s(40,32,20)*c(40,16,12)t(32,24,12)+-*
s(24,24,20)t(40,24,20)s(40,40,28)t(32,32,28)+*t(32,40,12)+-
s(24,24,28)s(8,40,12)-t(24,56,12)s(48,40,20)+c(48,24,12)--
s(40,48,20)s(40,8,12)+c(24,24,20)s(16,24,12)--t(40,32,20)-
s(32,32,20)s(32,40,28)c(32,24,20)s(48,8,12)+*s(48,16,20)-*
s(40,32,20)t(48,48,12)c(40,16,12)+t(32,32,20)-+t(24,24,12)+
c(40,24,20)s(24,24,28)-s(32,24,20)t(24,48,28)+s(40,40,20)-+
c(40,32,20)s(40,24,20)s(32,24,20)s(8,40,12)+s(40,48,20)-**
s(24,48,20)s(32,40,28)+s(24,32,20)-t(32,56,12)s(16,24,20)+-
s(40,40,20)t(16,48,12)+t(24,40,28)s(24,24,28)*-s(40,48,20)*
s(32,40,28)s(8,48,12)+c(48,48,12)-s(32,40,28)*s(16,40,20)*
s(32,40,28)s(8,16,12)s(24,40,20)s(24,24,28)*+*c(32,48,12)-
c(24,32,20)t(32,48,28)t(32,48,28)c(40,40,20)*c(24,24,12)+*-
c(16,40,12)s(40,8,12)s(32,48,20)+c(24,40,20)*s(40,48,20)*+
s(40,32,20)s(40,16,20)t(24,24,20)-c(24,40,20)+s(48,40,20)--
c(24,32,20)s(40,24,12)-s(32,40,12)-s(24,24,28)s(24,40,28)**
t(24,32,28)t(16,24,12)-s(24,40,12)t(24,16,12)+-c(40,48,12)+
s(16,16,20)s(40,32,28)s(8,8,12)t(32,16,12)+-c(24,40,20)*-
s(48,40,20)s(40,16,20)-s(24,40,28)-t(24,40,28)+t(16,48,12)-
s(32,32,28)c(40,32,20)+t(48,32,12)s(24,32,28)++s(48,24,12)-
c(24,40,20)s(40,24,20)s(32,32,28)s(24,24,28)*+t(24,40,12)-*
c(32,40,20)c(40,32,20)t(16,40,12)t(48,32,12)+-*s(24,24,28)*
s(8,8,12)t(32,40,20)s(16,24,20)t(16,56,12)s(16,40,20)+-++
t(48,40,12)c(48,48,12)t(40,16,12)+s(16,24,20)+s(16,16,20)*+
t(16,24,12)t(48,40,12)t(24,40,28)++s(32,40,20)s(16,48,12)-*
s(24,24,28)t(32,40,28)*t(24,48,28)c(40,16,12)++s(32,16,20)-
c(32,24,12)c(32,16,12)+s(40,32,28)c(16,16,12)c(40,24,20)+**
s(40,40,28)c(32,40,20)c(40,24,20)--c(32,32,20)s(16,24,20)-*
c(40,24,20)s(24,24,12)-s(16,24,12)s(32,32,12)+-s(32,24,28)+
s(32,24,20)s(32,16,20)+s(32,32,28)t(32,40,20)s(24,40,20)*-*
s(32,32,28)t(48,56,12)+s(24,32,20)t(24,32,28)s(24,40,28)**-
c(32,24,20)t(40,32,20)-s(40,24,28)s(48,16,20)*s(40,8,12)--
s(24,40,20)t(40,40,20)+c(40,16,12)t(48,48,12)++s(32,32,28)*
c(24,24,20)t(40,32,12)-s(48,24,20)-s(24,48,12)+t(32,40,28)+
c(40,32,20)s(8,24,12)s(24,32,28)c(48,48,12)s(40,40,20)+*+-
s(32,24,20)s(16,48,20)+s(32,32,28)-s(24,16,20)s(24,32,12)+-
s(32,32,28)s(32,16,20)*t(24,32,12)c(40,24,12)++s(40,40,12)+
s(48,40,20)t(32,40,28)c(24,40,12)s(48,48,20)+c(32,48,12)-*-
t(24,48,20)c(40,40,20)s(24,24,20)s(16,32,20)--s(32,40,20)*+
s(32,40,20)c(40,32,20)s(40,24,12)-s(24,40,28)-+s(8,16,12)+
s(24,24,20)c(40,24,20)c(40,40,12)+s(40,24,28)s(32,40,28)-*-
s(32,32,28)c(32,32,28)t(32,32,28)s(40,16,20)-s(32,24,20)--*
t(48,24,12)s(24,40,12)+t(32,40,12)-t(24,40,28)s(24,40,20)*+
t(40,48,12)c(32,32,20)c(24,24,20)*s(48,24,12)-+c(40,48,12)-
s(32,40,20)t(32,48,28)*t(32,40,20)t(48,56,12)+s(24,24,20)-+
s(40,40,20)c(24,40,20)+s(32,48,20)*s(40,16,20)+c(24,32,20)*
t(24,40,28)s(16,24,20)-s(32,40,12)+s(16,40,20)s(40,24,20)+*
s(32,40,28)c(24,24,20)t(16,16,12)-*t(24,40,28)c(24,32,20)**
s(48,16,20)t(24,24,20)+s(16,40,12)+t(24,32,28)-c(40,40,20)+
c(16,32,12)c(32,32,12)+s(40,24,20)c(32,24,20)*+c(24,16,12)-
s(24,32,20)c(40,40,20)t(32,32,12)s(48,16,20)c(48,32,12)-++*
c(40,24,20)s(48,40,12)c(32,24,20)+t(32,32,28)t(24,32,28)**-
s(40,48,12)s(16,24,20)t(40,32,20)c(24,24,12)-++c(24,32,20)*
s(48,40,20)c(40,24,20)c(40,32,12)t(32,40,20)+t(24,32,28)*++
t(40,32,20)s(32,32,28)s(40,16,20)-s(48,40,12)-+t(48,32,12)-
s(24,16,20)s(24,24,28)s(40,32,28)c(32,24,12)-s(40,40,12)--*
s(24,24,28)s(40,24,20)s(32,32,20)*c(32,40,20)s(48,32,20)-+-
s(24,48,20)s(40,48,20)s(32,40,20)s(16,40,20)*+s(32,40,28)**
s(24,24,28)s(32,32,20)c(24,40,20)*t(32,40,28)**s(16,24,12)+
t(24,32,12)c(48,32,12)+t(40,48,12)+s(8,24,12)+s(40,32,20)-
c(32,32,28)s(48,16,20)c(24,24,12)t(40,48,20)++t(24,24,12)-*
s(24,40,12)s(40,24,20)+s(32,32,28)*s(32,24,28)s(24,24,28)*+
c(32,32,28)s(24,32,28)t(24,40,28)s(32,40,12)-s(16,40,20)*--
c(40,32,20)s(32,48,20)c(40,24,20)+s(48,24,20)t(32,32,20)--*
s(32,24,28)s(24,40,28)t(32,40,28)--s(16,24,20)t(24,32,28)+*
s(24,32,20)s(16,32,20)*t(40,48,20)+s(32,48,20)c(32,32,20)**
s(24,40,20)s(24,32,20)t(40,24,20)s(48,16,12)++*t(16,40,12)-
s(40,24,20)t(40,16,12)c(32,40,20)s(24,48,12)-c(16,32,12)-+*
t(24,40,28)s(24,40,20)s(24,40,28)s(16,32,20)-*-t(24,48,20)-
s(24,48,20)s(16,32,20)c(32,40,20)+s(40,32,20)s(48,32,20)+-*
s(40,24,20)c(32,32,20)t(40,48,20)c(24,24,20)--+c(24,32,12)-
t(32,48,20)t(32,16,12)+c(40,32,20)c(24,24,20)t(24,40,28)*--
t(48,56,12)s(40,32,20)t(16,16,12)++s(24,24,20)s(32,32,20)+-
s(32,32,28)s(32,40,28)s(32,48,20)s(40,40,28)c(24,32,20)---*
t(40,24,12)s(24,40,20)t(24,32,28)s(24,24,28)*c(32,40,20)*-+
s(32,40,20)c(16,24,12)-c(32,24,20)t(24,32,28)*t(40,48,20)+*
s(48,48,20)t(40,40,12)t(40,32,20)s(16,40,20)-+-s(32,32,28)-
c(24,40,20)s(24,32,20)*c(24,24,20)s(40,24,12)c(24,40,12)+*+
t(16,16,12)s(24,32,28)s(40,32,20)*+t(32,32,20)t(40,48,20)+*
s(16,32,12)c(40,48,12)+c(24,24,20)s(40,16,12)-c(48,24,12)+-
s(24,40,20)s(40,32,20)s(40,16,12)-t(40,24,20)c(40,40,20)+*-
s(32,40,20)c(32,32,20)*s(32,24,12)s(24,48,20)t(24,32,12)-+*
c(24,40,20)t(24,32,12)-s(16,48,20)s(24,48,20)s(32,48,20)+**
s(48,40,12)s(40,32,28)s(48,24,20)t(48,48,12)t(32,32,20)+-*+
c(32,32,12)t(40,32,12)c(16,48,12)++s(8,40,12)s(24,32,20)+*
c(24,32,20)t(32,32,12)-t(24,32,20)c(32,48,12)--t(40,40,20)+
s(24,24,20)s(48,24,12)t(24,40,28)s(16,16,20)-+-t(24,24,20)*
t(24,40,28)c(48,24,12)s(24,24,20)+c(16,48,12)s(24,16,20)++*
c(40,32,20)s(24,40,28)+s(16,24,20)s(40,16,20)-s(24,16,12)--
s(24,24,20)t(32,40,28)t(24,24,20)s(16,8,12)s(24,32,20)+*--
t(24,32,28)t(24,24,20)s(48,8,12)+*s(8,40,12)s(48,32,12)++
s(40,24,28)c(24,24,20)*t(32,40,20)-t(32,32,28)+t(32,40,20)*
s(32,48,20)s(16,40,20)-s(24,32,28)s(32,40,28)t(32,24,12)-+*
t(32,40,28)s(32,40,20)t(24,32,28)*s(8,40,12)+*s(40,32,28)*
s(40,32,20)c(16,32,12)c(32,40,20)s(40,32,28)*+c(40,40,20)**
s(48,40,20)s(32,40,28)t(24,48,28)t(32,48,28)c(32,24,20)---*
s(32,32,28)s(24,40,20)s(48,40,20)+c(24,32,12)-s(40,40,28)**
t(24,40,28)t(32,40,28)s(24,32,20)s(16,16,20)c(32,40,20)--**
s(32,16,12)s(40,8,12)s(24,40,20)t(24,40,28)*++s(16,32,20)*
s(40,32,28)s(8,40,12)t(24,32,12)++c(32,40,20)*t(40,40,12)-
t(24,48,28)c(32,32,28)c(32,40,20)c(24,24,12)--+s(16,32,20)*
s(16,48,20)s(40,24,12)+s(32,40,12)-s(32,40,20)t(32,32,20)+-
s(40,40,28)s(40,32,28)t(24,40,28)*s(40,24,12)t(48,40,12)++-
s(40,40,12)s(24,48,20)t(40,24,12)+c(40,40,20)-t(24,40,12)-+
c(32,24,20)s(24,24,20)s(32,48,12)+*s(32,16,20)+c(32,24,20)+
s(16,48,12)t(48,16,12)t(48,32,12)++s(24,40,12)-s(40,24,12)-
t(32,32,28)c(24,32,20)s(32,32,20)t(40,48,20)+*c(48,48,12)++
s(24,48,20)t(40,24,20)+s(32,40,20)s(40,40,28)s(24,40,28)***
t(24,24,20)c(40,24,20)s(40,24,28)t(32,40,28)-*c(32,24,20)*+
t(32,32,28)c(40,40,20)c(40,24,20)+c(24,32,20)*s(40,32,20)*-
s(32,32,28)s(24,24,28)-c(24,24,20)+t(24,56,12)s(32,24,20)+*
s(48,16,20)t(32,32,28)t(32,56,12)t(32,24,20)c(48,24,12)-+*-
t(32,56,12)t(32,32,28)c(40,32,20)t(48,40,12)-t(40,16,12)-*+
s(24,48,12)s(48,16,12)s(40,48,20)+c(24,40,20)*+c(32,40,12)+
t(40,40,20)s(32,24,12)+s(24,32,28)c(40,40,20)t(32,48,28)*--
s(40,32,28)s(24,16,20)-t(40,48,20)-s(32,32,28)s(40,40,12)-*
t(16,32,12)t(24,48,20)s(48,24,12)s(24,24,20)+s(40,40,28)*-+
s(24,16,12)s(16,32,20)s(32,48,12)+s(24,40,28)*+s(24,24,28)*
s(40,24,20)s(32,32,28)c(40,16,12)s(16,16,12)+-s(32,48,20)*-
s(24,24,20)s(24,32,20)c(32,40,20)t(32,48,12)-s(48,32,12)++*
c(48,32,12)s(32,32,20)c(16,48,12)s(40,24,12)s(24,24,12)++*+
t(24,32,28)s(32,40,28)+c(32,24,20)*t(24,40,12)-s(40,24,28)*
s(48,48,20)s(32,32,20)c(48,24,12)-t(24,40,28)c(24,32,20)**-
s(48,48,20)t(32,40,28)c(32,40,20)*s(32,32,20)*+s(48,32,12)-
c(40,40,20)t(40,40,20)-t(40,48,12)+c(16,40,12)+s(48,40,12)-
s(40,24,28)s(24,24,20)s(32,40,20)+s(24,24,28)s(32,16,20)**-
s(24,32,28)s(40,40,12)-s(8,16,12)-s(32,32,28)c(24,40,20)**
c(24,32,20)s(8,8,12)s(32,24,12)+s(32,32,28)s(24,32,28)*+*
c(16,40,12)t(40,24,12)+s(40,40,20)s(40,16,20)+t(16,32,12)+*
c(24,32,20)s(40,32,28)t(32,40,12)-s(48,16,20)*-s(40,40,20)-
c(24,40,20)s(48,48,12)s(24,32,28)t(32,40,20)-t(24,32,28)*++
c(40,48,12)s(40,24,28)c(32,48,12)+t(32,40,20)*+s(40,32,20)*
s(40,24,28)c(40,24,20)c(32,24,20)*c(16,24,12)+s(32,24,12)--
s(32,24,20)t(40,48,20)+c(40,40,20)s(24,8,12)+s(32,40,28)*-
s(16,24,20)c(48,48,12)t(24,48,20)t(32,32,20)+++c(24,40,12)-
s(32,40,20)t(24,24,20)t(32,48,28)+s(40,48,20)**t(16,32,12)+
t(32,48,28)s(32,32,20)c(48,16,12)+s(32,32,28)t(24,32,28)***
c(32,32,20)s(32,40,20)s(32,32,12)-s(48,32,12)-+s(24,24,20)*
c(32,32,20)s(24,16,12)s(32,40,28)t(32,48,28)*+*c(24,40,20)*
t(40,56,12)s(16,32,20)c(32,40,20)s(16,48,20)*++s(32,32,20)+
t(24,48,28)s(40,40,28)*s(40,16,20)+c(40,40,20)s(32,32,28)**
s(48,40,20)s(32,40,20)-t(40,56,12)+t(24,48,28)+s(32,32,28)-
s(40,16,20)t(32,40,20)+c(32,24,20)s(32,32,20)*s(16,24,20)--
s(24,48,20)s(24,32,28)*t(24,40,20)*t(40,32,12)+s(48,8,12)+
c(32,40,20)c(24,24,12)-s(24,48,20)*s(48,32,20)-t(40,32,20)-
c(32,32,28)s(16,40,20)*c(40,32,20)c(24,24,20)*-t(24,16,12)+
s(16,48,20)c(24,32,20)c(24,32,12)-s(32,24,28)*s(16,16,20)++
s(40,32,28)t(24,48,20)s(16,48,12)s(40,16,20)+t(16,32,12)++-
s(40,32,20)s(48,24,20)s(40,40,28)t(32,48,28)*+t(32,32,28)**
s(16,32,20)s(48,40,20)+s(48,40,20)-t(24,32,20)s(8,40,12)--
s(48,32,20)s(40,24,28)s(40,8,12)-+t(40,32,20)s(24,16,20)--
s(24,24,20)s(40,8,12)s(48,32,12)s(24,48,20)++s(16,48,20)*-
c(32,40,20)c(40,24,12)-t(24,48,28)+c(40,24,20)s(24,24,28)+*
s(40,24,28)s(40,40,20)s(16,24,20)s(40,16,20)s(32,24,20)+-+-
s(40,24,28)t(24,24,20)t(24,40,20)c(40,40,12)-+-s(24,24,28)*
s(40,24,28)s(32,48,20)t(32,56,12)s(32,16,12)t(32,48,12)++--
s(48,48,12)t(40,24,20)+t(32,32,20)s(8,48,12)++s(24,32,28)*
s(16,48,20)c(40,40,20)s(32,48,20)*-s(32,24,28)s(48,16,12)--
s(24,16,12)t(24,48,12)+s(40,16,20)c(16,24,12)++s(24,40,20)*
t(32,24,20)s(40,32,20)t(40,48,20)++s(32,32,28)*s(32,32,12)-
c(16,32,12)c(32,48,12)+t(32,24,20)s(24,24,20)*+c(32,40,20)*
c(24,32,20)c(40,48,12)-s(16,16,20)-s(24,40,20)+s(24,40,12)-
c(24,40,20)c(24,32,20)t(24,32,20)--s(16,40,20)*s(32,8,12)+
s(32,32,28)s(48,16,20)s(48,40,20)s(40,40,20)*t(24,48,28)-+*
s(24,48,20)s(40,32,20)+t(40,40,12)t(40,48,12)+t(32,24,12)+*
t(32,48,20)t(16,16,12)+t(24,48,28)s(32,16,12)+*s(48,40,20)+
t(16,48,12)c(40,40,20)s(32,24,28)-+c(32,24,12)+c(32,24,20)-
s(32,40,20)t(24,48,20)+t(32,24,12)t(32,48,20)+*s(48,8,12)+
t(48,40,12)s(32,48,20)+t(24,56,12)s(24,32,20)t(16,24,12)-+-
s(16,40,12)c(24,40,12)c(40,48,12)+s(32,48,12)t(40,40,12)+-+
s(8,24,12)s(24,48,20)+s(32,48,12)-c(24,32,20)c(40,24,20)+-
c(40,32,20)c(40,24,20)*s(24,40,28)-s(24,48,20)+s(40,24,20)*
s(48,8,12)t(24,32,28)s(32,24,28)*t(24,48,20)+s(40,24,28)-+
t(32,48,20)s(32,40,12)+c(32,24,20)c(16,32,12)t(40,56,12)+--
s(32,40,28)s(16,40,20)*s(16,32,12)+s(8,16,12)+s(32,40,28)*
s(40,24,28)s(48,24,12)-t(32,24,20)-t(32,40,28)-t(24,40,12)+
s(40,32,28)s(40,40,28)c(32,24,20)s(40,8,12)--*t(48,40,12)-
s(32,40,28)s(24,40,20)s(32,32,28)s(16,32,20)**-s(40,40,28)*
s(40,40,28)s(16,24,20)t(24,32,28)+c(32,32,28)s(16,16,12)-*-
t(32,48,20)s(16,16,12)+c(32,32,12)-s(16,8,12)+c(32,48,12)-
s(32,24,28)s(16,24,20)s(48,24,20)+s(16,32,20)**s(32,32,12)+
s(32,32,28)s(24,24,28)c(32,32,28)s(32,32,12)--s(40,24,28)+*
c(32,32,28)t(32,40,12)t(48,32,12)t(32,32,28)c(32,32,12)-++-
s(40,32,20)c(32,32,20)*s(40,40,20)*c(40,48,12)+t(24,24,20)+
t(24,24,20)t(40,32,20)+s(32,32,20)c(40,16,12)+s(32,40,20)*-
s(40,40,28)s(32,48,20)*c(40,40,20)s(32,32,20)c(24,48,12)-+*
t(24,32,28)c(24,40,20)s(40,40,20)c(32,32,12)--t(32,32,28)*-
s(16,32,20)c(48,40,12)s(16,32,12)+s(24,16,20)--s(16,40,20)*
c(32,32,20)c(32,48,12)c(32,32,20)+t(24,32,12)-c(16,40,12)-*
c(48,16,12)s(40,40,20)+t(24,48,28)+s(40,40,28)+s(32,24,20)*
t(32,40,28)c(24,32,20)*s(40,32,20)s(48,24,20)s(48,8,12)-++
s(32,32,28)s(16,24,20)t(24,32,28)*-c(32,32,20)s(16,40,20)-*
t(32,56,12)s(32,24,20)c(48,16,12)-c(40,40,12)-+s(24,32,12)-
t(32,40,28)c(40,40,20)s(8,48,12)+s(32,32,28)*t(40,40,12)--
s(40,32,28)s(32,32,28)c(32,32,12)-t(32,40,28)+s(32,48,20)-*
s(16,32,20)s(32,32,28)s(24,48,20)+*s(16,16,12)t(32,16,12)+-
c(32,32,20)s(32,48,20)-t(24,40,20)+c(32,32,12)t(24,48,12)+*
c(24,40,12)s(24,40,20)s(16,32,20)*+s(48,32,12)t(32,32,28)+*
s(48,48,20)c(32,24,12)+s(40,48,20)s(40,32,28)*-c(32,24,12)-
c(40,32,12)t(32,32,28)s(24,48,20)c(32,32,28)t(24,32,28)---+
c(40,32,12)c(48,24,12)t(24,24,20)+t(40,24,20)s(40,16,12)+*+
t(32,16,12)s(32,32,20)t(32,48,28)s(40,40,12)-s(32,48,12)--+
s(32,40,28)c(40,32,20)*s(40,32,28)c(32,32,12)-*t(32,40,12)+
s(40,32,28)t(24,48,12)c(32,32,28)s(24,40,28)-+*s(24,32,12)+
s(32,32,28)s(24,32,28)s(32,32,28)*s(32,40,20)--c(32,48,12)-
s(40,48,20)t(16,40,12)+s(48,32,20)t(40,24,12)-c(40,48,12)-+
s(32,24,20)t(32,40,28)c(24,32,20)c(24,24,20)*t(24,24,12)-+*
c(40,32,12)c(24,40,20)t(32,32,28)t(40,48,12)+-+s(32,24,28)*
s(40,40,28)c(32,32,12)-s(48,48,20)s(16,40,12)++c(32,40,20)*
s(32,24,28)s(24,24,28)*c(40,32,12)+c(32,32,20)*s(40,24,28)*
c(40,40,20)s(32,40,28)t(24,24,20)-*s(32,8,12)t(32,48,28)+*
c(32,40,20)s(8,32,12)s(16,8,12)+t(32,48,28)+t(32,56,12)-*
s(32,16,20)s(24,8,12)-t(40,48,20)+c(40,40,20)s(32,40,20)+-
s(40,32,20)t(32,48,12)t(24,32,28)s(16,40,20)*+-c(40,40,12)-
s(32,40,28)s(24,16,20)+s(16,32,20)c(32,24,12)+c(40,40,20)-*
c(24,32,12)s(16,16,20)s(24,40,28)-+t(24,32,28)*c(16,40,12)+
t(32,56,12)s(16,40,20)+c(32,40,20)*t(40,48,20)t(32,32,28)+*
s(16,24,20)s(24,32,28)s(32,16,12)-s(16,40,12)-*s(48,40,20)+
s(32,8,12)t(24,32,20)+s(40,24,12)+s(40,24,20)*s(32,48,20)-
t(32,40,20)s(8,16,12)t(24,40,28)s(24,32,28)s(40,32,28)**+*
s(32,48,20)s(32,32,28)t(24,48,12)t(32,32,20)s(40,24,20)++**
c(32,32,12)s(24,32,28)s(40,16,20)-s(16,40,20)*t(32,40,12)-+
c(24,32,12)t(32,48,28)+t(24,40,28)*s(32,32,20)s(32,16,20)+*
s(40,40,20)s(16,48,12)+s(48,24,12)+t(32,32,28)*t(24,48,28)+
s(24,24,28)s(24,24,12)s(32,40,20)c(40,40,12)-+s(24,24,20)+*
s(32,24,28)c(24,40,12)-s(24,32,28)t(32,40,28)*-s(48,24,12)-
c(24,40,20)s(40,24,28)s(48,40,20)-c(40,24,12)-c(32,40,20)++
c(40,32,20)s(32,40,20)s(40,32,28)**s(48,24,12)+c(32,24,12)-
s(40,40,20)c(40,24,12)-s(16,32,20)+t(40,48,12)-s(32,24,12)-
t(24,40,28)s(32,24,28)*s(24,24,28)s(32,48,20)+c(40,32,20)-+
s(40,32,20)s(32,32,12)-s(8,48,12)s(32,40,28)+t(24,24,20)-*
s(32,24,12)t(32,32,12)s(8,16,12)++t(16,56,12)+s(40,24,28)-
c(24,40,20)s(32,40,20)s(40,40,20)**s(48,24,12)s(48,8,12)++
c(48,24,12)c(40,40,20)t(32,40,28)*+c(32,24,20)t(40,48,20)--
s(24,16,20)s(32,40,28)c(32,32,20)s(24,48,20)s(24,32,28)*-*-
t(32,48,28)s(32,40,28)c(40,40,20)s(24,48,20)*--s(24,48,20)*
c(40,32,20)c(24,16,12)-s(24,48,20)s(32,40,28)+*c(32,40,20)*
s(32,16,20)c(24,40,20)t(48,40,12)s(24,32,20)s(8,32,12)-+*-
s(40,24,20)s(32,40,28)s(40,32,20)c(32,24,20)**c(16,40,12)+*
c(48,32,12)s(32,40,28)s(16,32,20)-s(24,24,20)-c(32,40,20)*+
s(16,16,20)t(16,16,12)-s(32,48,20)+c(24,40,20)s(24,24,12)-*
c(32,24,20)c(40,16,12)-s(32,48,20)+s(16,40,20)s(24,16,12)+*
t(32,32,20)t(24,24,12)s(40,32,20)s(48,48,12)-+*s(48,24,20)+
s(40,24,20)s(40,24,12)-c(24,40,20)s(32,24,20)s(16,24,20)---
c(40,32,20)c(32,32,20)s(24,32,28)+*s(40,32,28)s(32,40,28)-+
s(40,48,20)c(24,32,12)-s(32,16,12)t(32,48,28)t(24,48,12)-+*
s(32,24,28)s(8,40,12)t(32,40,20)++s(40,48,20)*t(32,24,12)+
t(32,40,28)c(24,40,20)s(32,32,12)-s(48,16,20)t(40,48,12)+--
t(32,48,12)t(48,32,12)+t(24,32,20)+c(24,48,12)+c(16,48,12)-
c(24,40,20)c(48,16,12)t(48,48,12)+s(40,24,28)*t(32,32,20)+-
s(32,40,28)c(24,24,20)c(32,24,20)s(32,32,20)t(32,32,12)--*-
c(24,32,20)c(24,32,20)c(16,48,12)+s(32,32,20)-s(32,24,12)+*
c(24,40,20)c(48,48,12)+s(40,40,28)s(40,8,12)+s(16,8,12)+*
s(32,24,28)s(16,16,12)s(16,32,12)+c(32,32,28)*t(32,32,28)+-
s(48,24,20)s(32,48,12)c(24,32,12)c(40,24,20)+s(40,32,20)*+*
s(40,16,12)t(32,32,28)s(24,32,28)t(32,16,12)t(32,48,28)+**+
s(24,40,28)t(40,56,12)s(24,16,20)+-c(24,40,12)t(32,48,28)+*
s(40,40,28)s(32,40,20)c(48,32,12)s(32,32,20)+*t(32,48,20)--
s(24,32,28)t(32,48,28)s(32,24,20)c(16,24,12)---s(24,16,12)-
c(24,32,20)s(32,24,20)+t(32,32,28)t(32,40,28)s(40,32,28)***
c(16,40,12)s(40,32,20)c(24,24,12)s(16,32,12)+t(24,40,20)-++
s(40,40,28)t(24,24,20)-s(32,40,12)-t(40,48,20)*c(32,24,12)+
s(48,16,20)c(32,40,20)-s(40,16,12)s(16,40,20)+c(40,24,20)*-
t(32,32,28)s(32,40,12)-s(48,48,20)-s(32,32,28)c(32,24,20)**
c(32,40,20)c(16,40,12)t(40,16,12)s(48,40,20)+s(40,40,28)*+*
t(24,40,28)t(48,56,12)c(32,24,20)+s(24,16,20)c(40,40,12)+*-
t(32,32,20)c(40,32,20)t(32,40,28)s(16,48,20)-t(48,32,12)+--
s(40,32,20)s(8,32,12)s(8,24,12)++t(32,40,20)-s(32,40,20)-
c(32,24,12)s(16,24,20)s(40,32,28)+s(32,48,20)*+t(40,48,12)-
t(40,32,20)t(24,40,28)+t(32,40,12)s(48,32,20)+*c(24,32,12)-
s(16,32,20)t(24,48,20)s(48,24,20)+-s(16,40,20)s(32,40,20)*-
s(24,40,28)t(16,40,12)-s(32,40,20)t(24,24,12)+*c(48,48,12)-
c(40,24,20)t(32,32,20)s(8,8,12)+s(32,48,20)c(40,32,12)+--
s(24,40,12)t(24,40,28)s(32,40,12)-+c(40,40,20)*t(24,56,12)+
c(32,40,20)s(16,32,20)-s(24,32,28)c(40,40,20)s(32,48,20)*++
s(32,32,20)s(16,24,12)-t(24,32,20)c(48,32,12)+c(16,24,12)+*
s(24,48,20)s(16,32,20)t(24,48,12)+-c(32,16,12)+s(32,8,12)+
s(32,40,28)t(32,40,20)s(32,40,20)t(24,32,28)**t(48,56,12)+*
c(40,32,20)s(24,16,20)+s(40,24,20)s(32,48,20)--s(40,32,20)-
c(48,16,12)s(24,40,20)t(40,48,20)t(32,48,12)-t(32,32,20)+-+
s(24,32,28)c(48,32,12)c(40,32,20)c(24,16,12)-s(32,40,20)*+*
s(40,32,28)s(40,48,20)t(40,48,12)s(40,24,28)+c(32,32,28)***
s(40,32,28)s(32,8,12)+t(32,32,12)-s(24,40,20)-c(48,24,12)-
c(24,40,20)s(8,48,12)-s(40,40,28)*s(40,40,28)t(40,24,20)*-
s(24,32,20)s(24,24,28)t(48,56,12)+c(32,32,20)c(48,40,12)+**
t(32,24,20)s(40,32,28)*s(16,24,20)t(32,40,28)c(48,40,12)---
s(16,40,20)s(16,8,12)+t(40,24,20)s(24,40,20)-+c(40,40,12)+
s(40,40,28)s(16,16,20)s(32,24,12)-s(24,24,28)*+s(32,24,28)*
s(48,24,20)s(40,8,12)s(24,16,20)+s(40,32,28)s(32,32,28)**-
t(40,40,12)t(32,48,28)s(40,24,28)-s(32,40,20)s(48,40,20)*-+
s(40,40,28)t(24,48,20)c(48,24,12)+s(32,32,12)-*s(24,32,20)-
t(32,48,28)s(48,40,12)+c(16,48,12)-c(40,40,20)+s(40,24,28)+
t(32,40,28)t(40,48,20)+t(40,40,20)s(40,8,12)+c(48,48,12)--
t(40,24,20)t(24,40,20)t(32,48,28)+t(24,48,20)-t(32,32,28)*+
s(24,40,20)t(24,40,28)s(32,40,20)c(40,32,20)*+t(24,40,12)-*
s(32,24,28)s(24,24,20)c(32,32,28)s(40,32,20)-**t(24,24,20)+
s(24,32,28)c(40,16,12)-t(40,48,12)s(40,32,28)s(40,48,20)-+*
s(32,40,12)s(32,32,28)s(8,8,12)+t(40,32,12)-t(24,32,28)*+
t(16,32,12)s(40,8,12)+c(40,40,20)s(24,40,28)-+s(48,40,20)*
s(24,24,28)s(32,40,28)t(32,24,20)*-t(24,40,28)t(32,24,20)--
c(40,40,20)s(32,32,20)s(48,16,20)c(32,32,28)*c(40,32,12)++*
c(32,32,20)s(32,40,20)-s(32,8,12)-s(16,32,12)t(24,48,28)++
s(8,48,12)c(40,48,12)+c(32,32,12)+s(48,32,12)+c(32,24,20)-
c(48,24,12)t(24,48,28)c(24,40,20)s(32,32,28)+*+t(40,48,20)-
s(16,16,20)s(24,48,20)+s(32,48,20)*s(40,48,20)s(32,40,12)--
s(24,32,20)s(16,48,12)t(32,40,28)s(24,40,20)c(40,24,12)+*++
c(24,24,12)c(40,48,12)+s(40,48,20)c(32,40,20)t(24,48,28)*--
t(24,48,20)s(24,40,28)t(48,56,12)+t(32,32,28)*+s(24,8,12)+
t(32,32,28)c(48,32,12)t(24,40,28)s(40,40,28)+t(32,48,28)*+*
c(48,40,12)t(32,48,28)c(24,32,12)-s(32,40,20)+c(24,24,20)++
t(32,48,12)s(40,32,12)s(40,24,28)c(32,40,20)c(24,40,20)**++
t(24,40,20)t(32,48,28)s(40,32,28)*t(32,48,20)++s(40,32,12)+
c(32,40,20)t(24,32,28)s(40,16,20)s(32,24,28)*-*c(40,16,12)+
t(32,48,28)t(24,40,20)-s(16,32,12)t(40,48,20)++t(32,32,28)-
s(16,40,20)s(24,32,28)s(24,40,28)**t(24,32,28)s(32,32,20)*+
t(40,24,20)s(40,40,28)s(24,24,28)s(48,40,20)-+c(16,32,12)-*
s(24,40,28)c(40,40,20)t(32,48,28)s(32,24,20)-+s(40,32,20)--
t(24,40,28)s(32,24,20)s(24,16,20)*s(40,32,12)+s(24,24,28)*-
c(40,16,12)c(24,40,20)s(24,16,20)c(32,32,20)c(40,40,20)*+*+
s(40,32,28)t(48,48,12)c(40,48,12)+s(40,24,20)+c(24,32,20)-*
c(32,40,20)s(40,32,28)t(48,56,12)c(24,24,20)++t(32,48,28)**
c(32,40,20)t(32,48,12)c(24,24,20)+s(24,40,20)t(24,24,12)+**
s(40,24,28)c(24,32,20)t(32,24,20)-t(32,24,20)c(40,40,12)-+-
s(24,24,12)c(32,48,12)+c(48,48,12)+t(32,32,20)-c(24,32,20)-
s(16,32,20)t(24,32,28)s(48,24,12)c(24,40,12)c(24,24,20)++**
t(32,40,28)s(40,40,28)s(40,24,20)*s(48,48,20)-+c(40,24,20)-
t(24,48,28)s(24,32,28)s(24,16,12)-*s(8,16,12)s(40,24,20)+-
s(32,48,20)s(32,40,20)+t(24,24,12)t(40,48,20)++c(40,32,20)+
t(48,24,12)s(40,16,12)+s(32,40,28)s(24,32,12)-+s(40,32,20)*
c(40,32,12)c(32,24,12)+c(32,24,20)t(40,16,12)-s(40,32,20)**
c(24,24,20)s(40,16,12)+s(40,48,20)-c(24,40,20)-s(8,24,12)-
s(32,24,20)c(24,40,20)s(40,24,20)-t(24,56,12)-+s(32,48,20)*
s(8,8,12)t(40,32,20)c(32,32,28)s(48,48,20)-+t(16,40,12)-+
t(24,40,28)c(24,32,20)t(24,48,20)t(24,40,28)+*c(40,40,12)--
c(40,24,20)c(24,24,20)t(32,48,28)s(16,24,20)t(32,40,12)++*-
c(32,32,28)t(32,32,28)s(32,24,20)s(48,32,20)+*-s(24,32,20)*
t(32,40,20)t(24,24,20)s(32,40,28)t(24,40,28)-+t(40,40,20)-+
s(48,48,12)s(40,16,20)+s(40,24,20)*c(32,32,20)s(32,40,12)-*
s(32,16,20)s(24,40,28)s(24,24,28)c(32,24,20)*c(32,32,20)**-
c(24,24,20)s(48,32,20)s(48,48,20)s(16,32,12)+-+t(32,32,20)*
t(24,16,12)t(32,40,28)+t(32,48,28)*s(40,8,12)+s(16,48,12)-
s(40,16,12)s(48,40,20)s(40,32,28)*s(32,32,28)*+t(40,24,12)-
c(32,40,20)s(40,40,28)c(24,32,12)s(8,16,12)++c(40,32,12)-*
c(24,48,12)s(32,16,12)c(24,40,20)s(24,16,20)-+s(32,40,20)-+
s(24,40,28)t(32,32,20)s(48,48,20)s(24,16,12)s(48,32,20)+-+*
t(24,32,28)c(32,40,20)t(24,32,28)+s(32,32,28)s(32,48,20)*-*
t(16,40,12)c(16,16,12)+c(32,24,20)c(16,16,12)s(40,32,12)+*+
c(24,32,12)s(40,24,28)s(24,32,28)s(40,32,28)s(24,48,12)-**+
c(40,24,20)s(16,32,20)-s(32,16,12)-c(24,32,12)+t(24,40,12)-
s(40,32,28)c(24,16,12)-c(32,24,12)-s(32,32,20)c(16,32,12)--
t(24,32,28)t(40,24,20)-t(24,40,12)s(32,32,12)+s(32,24,12)+-
s(24,40,28)s(32,32,28)*t(24,32,28)*s(32,32,20)*s(40,40,28)*
t(40,48,20)c(40,40,20)s(48,24,12)s(16,16,12)s(48,40,20)++--
t(32,40,20)s(24,24,28)+s(16,40,12)s(40,40,28)+t(24,24,20)-*
s(40,16,20)t(48,16,12)c(40,40,20)++c(32,16,12)-c(40,24,20)*
t(24,24,20)s(48,40,20)c(24,40,20)-+c(32,40,20)s(24,16,12)+-
s(48,40,12)s(32,24,28)s(40,24,28)s(48,48,20)s(40,16,12)+**+
s(40,24,28)s(24,40,20)c(40,32,20)s(40,24,20)--+c(24,24,20)*
t(32,32,28)s(48,40,20)c(24,16,12)+s(40,40,28)--s(24,24,28)*
c(40,40,20)t(48,40,12)-s(16,32,20)+s(32,40,20)c(16,48,12)-*
t(40,32,12)s(24,32,28)t(32,32,28)+s(24,24,28)*s(32,40,28)-+
c(24,32,20)s(32,32,28)c(40,16,12)-*s(32,24,28)c(16,16,12)-*
t(32,16,12)s(48,24,20)+c(32,32,20)t(32,40,20)-*s(24,32,12)+
c(40,32,12)c(32,32,20)s(16,24,12)+t(48,32,12)-s(40,40,20)*+
s(48,32,12)t(32,48,28)t(40,24,20)-t(24,40,28)s(32,32,28)**+
s(48,32,12)s(16,40,20)t(32,40,28)c(32,40,20)t(40,32,12)-*++
t(24,48,28)c(24,32,20)*c(32,32,28)s(32,40,20)-+s(40,40,28)-
s(24,24,28)c(48,24,12)+s(32,32,28)s(48,48,20)--s(40,24,28)*
s(40,16,20)s(32,16,12)t(32,48,28)+c(32,32,28)*-c(40,40,12)+
s(48,40,20)s(48,40,12)-s(32,40,20)+s(48,32,20)-t(16,32,12)-
c(32,32,20)s(48,24,12)t(32,40,12)+t(24,40,12)--s(24,16,20)+
s(40,32,20)s(8,8,12)+s(40,40,28)s(24,48,20)-*t(24,40,28)-
c(24,32,20)c(40,24,12)t(32,40,20)c(40,32,20)*+*s(24,16,20)+
s(40,24,20)s(40,24,12)s(32,32,20)c(32,24,12)-++c(48,16,12)-
t(24,40,28)t(32,48,20)*s(32,24,20)+s(48,40,20)s(24,32,12)+-
s(40,24,28)s(32,40,20)s(16,24,12)++c(40,32,20)c(24,40,20)--
c(32,32,28)s(24,40,28)*c(24,32,20)s(8,16,12)+s(16,24,20)**
t(32,40,28)t(24,32,28)s(32,40,20)c(16,48,12)-*-s(32,24,20)+
s(24,32,28)c(32,32,20)c(32,32,28)c(16,16,12)-*s(40,40,20)**
c(32,24,20)c(24,40,20)s(32,40,20)*s(48,24,12)+c(32,40,20)**
s(24,48,20)s(16,40,20)s(24,8,12)+-s(40,40,20)s(24,40,20)-+
s(40,32,28)t(32,24,12)s(24,16,12)+s(24,40,28)+c(40,32,20)*-
c(48,32,12)t(32,32,28)+c(24,32,12)s(16,40,12)+-s(32,16,12)+
c(16,40,12)s(8,16,12)+s(8,48,12)-s(8,24,12)t(32,40,28)++
c(40,32,20)t(32,32,28)s(16,24,20)s(40,24,20)--c(32,40,20)**
s(24,40,20)c(24,40,12)s(24,48,20)c(24,24,20)s(40,32,12)--+*
s(16,32,12)t(24,24,20)s(32,8,12)-+s(32,32,28)t(24,40,12)-*
s(24,40,28)s(40,16,12)+t(16,32,12)-s(40,32,28)s(40,16,20)*+
c(32,40,20)c(48,32,12)s(24,16,20)+s(24,32,20)s(32,32,12)--+
s(32,32,20)t(24,24,20)s(48,40,12)s(24,24,20)c(40,16,12)-+*-
s(16,48,20)s(16,32,12)s(48,32,12)+-s(48,40,20)s(40,16,20)-+
t(40,32,20)s(40,48,20)c(24,16,12)t(32,40,28)s(32,32,28)*+--
c(40,24,12)s(32,40,28)c(32,32,20)c(32,24,20)s(24,24,20)+**+
s(24,16,20)s(24,32,20)t(32,32,28)+t(16,56,12)c(24,24,20)++*
s(32,32,28)c(32,40,20)c(24,32,20)c(40,32,20)--*c(32,24,20)*
c(24,48,12)s(16,40,20)s(40,40,28)t(40,48,12)-c(40,48,12)+-+
t(32,40,28)c(32,40,20)c(32,24,12)-*s(40,40,28)*s(40,48,20)*
s(24,40,20)s(40,48,12)+s(16,32,12)-t(48,16,12)+s(16,48,20)+
t(16,48,12)s(48,48,20)+c(24,32,20)t(24,24,12)--s(32,40,28)*
s(48,24,20)c(24,16,12)t(40,40,20)+s(48,16,20)+c(24,40,20)*-
s(8,8,12)t(24,32,28)t(40,48,20)s(40,24,20)+*+c(32,40,12)-
c(40,40,20)c(32,24,12)-t(16,48,12)s(24,16,20)++t(32,24,20)*
t(24,48,12)s(16,40,20)t(24,40,28)s(40,40,28)*+t(24,48,28)-+
s(32,24,20)s(16,16,12)-s(16,16,20)t(40,48,12)+-s(40,8,12)+
t(16,40,12)c(32,24,20)c(32,32,28)s(16,32,20)*-+c(24,48,12)-
s(40,8,12)c(40,32,20)+t(32,56,12)s(48,40,20)+t(24,16,12)+*
t(24,32,28)s(40,24,20)s(48,16,20)t(32,24,12)---c(24,40,20)*
s(32,32,28)s(48,16,12)s(24,32,20)t(24,48,28)*+*c(40,32,12)+
t(24,48,28)c(32,32,20)t(32,40,28)*t(32,40,12)t(48,32,12)+-+
s(40,32,20)s(32,32,28)c(16,32,12)t(24,40,28)+s(24,32,12)--*
s(40,32,28)s(40,32,12)s(24,24,20)+*t(32,40,20)c(32,24,12)++
s(32,24,28)t(40,32,20)s(16,40,20)s(32,40,20)c(40,24,20)+*--
s(16,32,20)s(16,40,20)*t(24,48,20)+c(24,32,20)*t(24,32,28)*
s(24,32,20)s(24,40,20)c(40,48,12)-t(24,40,20)s(48,48,20)-*-
t(32,40,20)s(24,16,20)t(32,32,20)c(48,16,12)++c(32,24,20)-+
t(24,32,20)c(32,24,20)s(8,16,12)+s(24,40,20)s(40,40,28)+**
s(48,24,12)s(24,24,20)s(32,16,20)s(32,40,20)s(24,24,28)+**+
s(16,32,20)s(40,40,28)+t(40,56,12)c(24,32,20)s(24,40,20)*+-
t(48,16,12)c(48,48,12)+s(48,40,20)c(40,40,20)*+s(32,24,28)-
s(48,40,20)c(24,32,20)s(32,40,28)*c(40,32,20)*+t(32,32,20)-
s(32,24,12)s(24,40,28)s(48,40,20)-+t(24,48,28)*s(24,48,12)-
s(8,40,12)t(40,24,20)s(40,48,20)-+c(48,48,12)+s(8,16,12)+
t(48,40,12)s(24,8,12)s(48,24,20)+t(24,48,12)+c(32,32,12)-+
c(32,32,20)s(24,24,20)c(32,16,12)-+s(24,24,12)-t(40,40,20)-
c(40,24,12)s(32,8,12)+s(40,32,28)*t(24,48,20)+s(24,40,28)+
t(32,48,12)t(24,48,28)c(32,40,20)s(24,40,12)-s(16,16,20)--+
s(16,32,12)t(40,48,20)+c(24,24,12)-t(32,40,28)*s(40,48,20)*
c(32,40,20)s(8,48,12)c(32,48,12)+-s(48,48,20)t(48,16,12)++
s(24,8,12)c(40,48,12)s(16,40,12)+s(48,48,12)-+c(24,32,12)-
s(16,24,20)t(48,48,12)+c(24,24,12)-t(40,48,20)+s(24,32,28)+
t(24,40,28)t(40,48,12)c(32,24,20)s(24,32,12)-c(24,24,20)++*
s(16,8,12)s(48,40,20)c(32,32,20)-t(32,24,12)++c(40,24,20)-
s(40,24,28)c(40,32,20)s(16,16,12)+*s(24,32,20)+c(32,24,20)*
t(24,48,12)s(40,24,20)+s(16,40,12)c(32,32,20)+*c(24,40,12)-
s(40,32,28)t(24,32,20)t(32,40,28)s(40,24,28)*s(24,40,28)*+-
c(24,24,20)t(16,24,12)-s(16,40,20)-t(16,16,12)-s(32,32,28)*
s(40,16,20)s(40,24,12)-s(40,32,28)s(48,24,12)s(24,16,20)+*+
c(48,40,12)t(40,40,20)+t(40,40,20)s(48,32,12)-s(24,40,12)+*
t(32,32,28)t(16,40,12)-t(40,40,20)-s(48,8,12)t(16,24,12)++
s(24,48,20)s(16,8,12)t(32,48,28)+*t(32,56,12)t(24,32,28)+*
s(32,40,28)s(48,40,12)-c(40,24,20)-s(48,40,20)c(24,32,20)-+
c(32,32,20)t(32,48,28)c(32,32,12)+-s(8,16,12)+c(32,24,20)*
c(32,40,20)s(16,48,20)-t(24,48,12)s(16,32,20)c(24,40,20)*+-
t(32,40,28)c(40,24,20)s(24,24,12)t(32,56,12)+-t(32,48,28)--
s(24,48,20)c(24,40,20)s(16,16,12)+s(32,24,20)s(48,16,20)--*
c(40,24,20)t(32,48,28)-s(40,32,28)t(24,40,28)*s(40,48,12)--
c(32,32,28)s(16,16,20)-c(24,32,12)-s(40,48,20)c(32,32,20)*-
s(32,16,20)s(24,24,28)s(48,16,20)-s(24,40,28)*s(32,32,12)--
t(24,40,28)t(40,24,20)-t(32,32,28)*s(8,48,12)-t(16,32,12)+
s(24,16,20)t(40,32,20)+c(24,24,20)s(24,40,20)t(24,40,28)*+*
s(24,32,20)c(24,24,20)*c(40,24,20)t(32,40,28)-+t(24,48,20)+
s(24,24,20)c(24,40,20)t(24,32,20)t(24,56,12)+-+s(40,24,28)*
s(32,48,12)t(40,48,20)+c(24,24,20)+t(24,32,28)*s(24,16,20)*
t(32,40,28)t(24,32,20)s(32,32,20)*-t(32,40,28)s(16,40,20)-*
t(32,32,28)c(24,32,20)*s(32,40,28)t(24,40,28)s(32,16,20)-**
s(40,40,20)s(16,16,20)s(24,40,28)s(24,32,20)c(40,24,20)--++
s(16,24,20)s(40,16,20)s(48,40,20)-c(24,40,20)-c(16,40,12)+-
s(32,32,28)t(32,32,28)c(24,40,20)t(24,24,12)-+c(40,32,12)-*
s(40,40,20)s(16,24,20)+t(24,32,20)-s(8,32,12)-c(32,32,28)*
c(24,32,12)s(24,24,28)t(24,24,20)-c(32,24,20)*+c(48,32,12)+
s(40,16,20)s(32,24,20)t(40,40,20)--s(32,32,20)-s(24,32,20)+
c(48,32,12)s(24,32,20)+s(32,48,20)t(24,48,28)*-t(32,32,20)-
t(40,48,12)t(32,32,28)+c(40,32,20)t(24,32,20)+*s(40,24,20)-
s(24,24,28)s(40,24,28)c(32,32,20)c(24,24,20)s(32,16,20)--**
c(40,24,20)c(40,48,12)t(24,48,20)s(32,48,20)*c(24,24,20)++-
s(48,32,20)s(40,24,20)*s(32,40,28)s(32,24,28)s(16,32,20)**+
s(32,48,20)c(32,24,20)s(32,16,20)-s(24,16,20)s(40,24,12)---
s(24,40,20)c(24,32,20)c(40,16,12)s(24,32,20)+*t(16,16,12)-*
c(16,16,12)c(32,32,20)s(32,24,28)t(16,24,12)-s(32,48,20)-*+
c(32,24,20)s(40,16,20)s(24,40,28)s(24,32,12)-t(24,56,12)--*
s(8,48,12)t(40,48,12)s(24,40,28)t(32,48,28)-c(32,24,12)-++
t(32,48,12)s(16,16,20)+s(24,40,20)t(24,48,20)*-c(16,16,12)-
s(40,40,28)s(24,16,20)t(48,56,12)+s(40,32,20)+-s(24,16,12)+
t(16,24,12)s(24,40,28)c(32,40,20)*+s(24,24,20)-c(40,40,12)-
s(40,24,28)s(24,32,28)c(32,24,20)**t(40,40,12)+t(16,40,12)+
s(32,24,28)s(48,24,12)-s(16,48,20)t(24,48,12)--s(24,40,28)+
s(48,48,20)s(40,40,20)t(24,48,12)t(24,32,28)+*c(40,48,12)+*
t(40,32,20)s(16,32,12)+c(40,24,20)s(40,48,20)c(24,32,20)+-+
c(16,48,12)s(48,40,20)s(40,48,20)*+t(40,48,20)-t(16,56,12)-
s(48,48,20)s(24,24,28)t(16,32,12)t(40,56,12)+--t(40,32,12)+
c(48,32,12)s(24,32,28)s(48,32,20)+s(32,24,20)s(32,32,20)*-+
t(24,32,20)t(32,48,20)s(32,24,28)t(24,40,28)*s(24,24,20)*-+
s(40,40,28)t(40,24,12)t(24,40,28)+-c(40,32,20)+s(48,48,20)*
c(48,48,12)c(40,32,12)+t(32,24,20)+s(40,24,20)s(24,32,28)**
s(40,24,28)s(24,24,12)-t(24,32,20)+s(32,32,28)c(40,32,20)**
s(24,24,28)s(32,8,12)-s(32,24,28)t(40,40,20)-s(24,32,28)**
s(40,40,20)c(40,40,20)s(32,48,20)-*s(48,16,20)+s(48,40,20)-
c(32,32,28)c(24,32,20)s(8,40,12)t(24,40,20)t(24,24,20)++*-
s(24,40,28)c(24,24,20)s(16,24,20)*s(40,32,28)-c(24,32,12)+*
c(32,24,20)s(16,16,20)s(40,40,12)c(24,24,20)+*+s(48,32,20)*
c(24,32,20)t(32,48,12)-s(16,24,20)c(32,24,12)+t(24,32,20)--
c(32,40,20)s(16,40,20)c(24,32,12)-+s(40,32,20)c(40,24,20)*-
t(24,48,28)c(16,24,12)s(40,32,12)+-s(24,16,20)+c(40,24,20)*
c(16,24,12)s(40,40,28)+t(40,32,12)-c(48,40,12)-s(32,16,12)+
t(48,56,12)c(40,40,20)s(16,16,12)+c(24,40,20)*+t(24,48,28)*
s(40,32,28)s(40,32,20)-c(32,40,20)s(16,48,20)--c(32,48,12)+
s(48,16,12)c(32,40,20)+c(40,32,12)s(16,24,12)+s(24,40,20)--
c(24,24,12)s(24,24,28)c(16,32,12)s(48,32,12)+*s(32,40,12)-+
t(32,48,20)t(48,16,12)+s(40,32,28)*s(24,32,20)+s(32,24,20)*
s(24,40,20)s(24,40,28)t(32,40,20)s(32,32,28)c(40,32,20)-+**
s(40,24,20)t(32,48,28)t(32,32,28)-+t(40,32,20)s(48,24,12)+-
c(32,40,20)s(16,24,20)t(32,32,20)+s(24,32,20)*t(48,32,12)+-
s(32,32,28)s(40,24,12)c(24,40,20)c(24,32,20)t(40,48,20)-*+*
s(48,48,20)c(32,32,20)s(8,24,12)++s(32,40,28)t(24,24,12)-+
s(24,24,28)s(32,32,20)s(32,40,20)s(40,48,20)s(48,32,20)--**
c(24,40,20)s(24,32,28)+s(32,32,28)-c(24,16,12)t(32,40,28)+-
s(40,48,20)s(40,40,28)c(40,40,20)s(32,32,28)+*s(32,16,20)-*
t(24,48,28)c(32,32,28)*s(24,40,28)s(32,32,28)*s(16,40,20)--
s(48,48,12)s(32,40,28)c(24,40,20)+t(32,48,12)-s(32,32,28)*+
c(48,24,12)s(32,40,12)+s(24,32,28)s(40,32,28)*s(32,32,12)--
s(24,48,12)s(24,32,20)s(24,24,20)*s(24,40,28)*+s(32,24,20)*
s(40,24,28)s(48,40,20)s(24,32,28)s(24,16,20)*+*s(48,32,20)*
s(48,32,12)s(24,24,20)+t(24,40,28)t(24,40,12)--s(48,24,20)*
t(24,40,12)c(32,24,12)s(16,24,12)++c(24,48,12)t(24,24,20)+*
t(32,32,28)s(40,8,12)c(16,48,12)+s(24,32,28)+*t(24,48,20)-
t(32,40,28)c(32,24,20)s(32,8,12)c(40,24,20)c(48,24,12)-+--
s(48,32,20)s(24,32,28)c(40,40,20)*s(8,16,12)+s(40,24,20)-+
s(32,48,20)c(32,32,12)+s(40,24,28)s(24,48,20)t(16,48,12)---
c(32,32,28)s(48,16,20)-s(40,24,28)*s(48,32,12)c(40,16,12)++
s(40,40,28)s(24,48,12)s(16,16,12)++c(32,24,20)*t(24,32,28)+
s(40,40,28)s(24,40,28)s(48,48,12)+*s(24,40,12)-t(32,32,28)*
t(24,56,12)s(48,24,20)t(32,40,20)++s(40,16,12)c(24,48,12)+-
s(32,8,12)s(16,48,12)+s(40,32,28)c(40,24,20)*c(24,24,20)*+
c(32,24,20)t(32,40,28)s(24,32,20)c(40,32,12)+s(40,32,28)***
c(24,24,20)s(24,32,28)*s(40,40,20)s(24,32,28)*t(16,56,12)+-
t(16,48,12)s(32,40,20)+t(40,32,12)t(24,56,12)c(16,40,12)+++
s(24,40,28)s(32,24,20)s(24,40,20)c(16,48,12)-+*c(32,16,12)-
s(40,24,20)t(24,32,28)c(24,24,20)t(40,32,20)-*-t(48,16,12)-
s(40,40,20)c(32,24,20)-s(16,40,12)s(32,16,20)++t(32,32,28)*
s(32,40,20)c(32,24,20)*s(32,16,20)t(32,56,12)++c(32,24,20)*
s(16,16,12)c(32,40,12)+s(32,32,20)t(24,48,28)s(40,32,20)-+*
s(24,24,20)t(32,32,28)s(40,40,28)*+c(24,16,12)c(48,16,12)+*
s(48,40,20)s(40,40,20)*s(48,40,20)c(40,32,20)s(24,24,20)-**
c(32,40,12)s(24,32,20)+c(24,40,20)t(32,40,28)*s(40,40,28)*-
c(40,24,20)s(16,32,20)c(32,24,20)*c(40,32,20)+t(32,24,20)*-
c(32,32,20)s(40,32,28)s(32,24,28)*t(32,40,28)*-s(48,32,20)-
s(48,24,20)c(48,40,12)-c(32,32,28)*s(24,24,12)+s(40,24,20)*
s(48,40,12)s(40,24,20)+t(24,56,12)s(32,32,28)t(16,32,12)-+*
s(32,16,20)s(40,32,20)c(32,32,20)c(24,24,20)**t(32,16,12)++
t(32,40,28)s(40,24,20)c(32,24,20)*t(40,24,20)*+s(32,40,12)-
s(16,16,20)s(32,48,20)c(32,40,20)*+s(48,32,20)-c(32,32,20)*
c(24,24,20)c(24,32,20)s(48,8,12)s(40,40,28)+c(48,32,12)-**
s(24,24,28)c(32,24,12)s(48,16,20)++s(48,40,20)s(32,16,12)+*
c(24,40,20)s(40,40,28)t(40,40,12)s(8,24,12)++s(32,24,20)--
t(24,32,28)t(40,32,20)-s(24,40,28)+t(24,40,12)-s(24,24,28)-
s(32,24,20)c(32,32,20)s(40,48,20)t(32,24,20)+t(48,40,12)-**
s(40,48,20)s(40,40,28)t(24,40,12)-*t(48,48,12)-s(32,48,20)*
s(16,48,20)s(40,32,28)c(40,24,12)s(8,16,12)+c(32,32,28)*--
s(32,32,28)c(24,40,20)s(40,40,28)*c(32,16,12)s(32,48,20)++*
s(40,24,20)t(40,24,20)s(48,32,12)+s(32,24,12)+c(24,24,12)-*
s(32,24,28)s(24,40,28)c(40,40,20)*-c(24,48,12)+c(40,32,20)*
s(32,48,20)s(48,16,20)s(32,24,28)*c(48,32,12)++s(40,24,28)*
s(24,32,20)s(24,24,20)s(24,24,28)c(32,40,20)s(16,16,12)+***
c(32,32,20)c(32,24,20)s(24,32,12)-c(16,24,12)s(40,16,20)+**
t(32,48,28)t(24,24,20)-s(24,40,28)+s(40,16,12)+s(32,32,28)+
s(16,40,12)c(24,24,20)+s(32,24,20)-t(24,40,12)-t(16,48,12)+
c(16,16,12)s(40,48,12)c(48,16,12)s(32,40,28)+s(24,24,20)*++
s(40,40,20)t(40,24,20)-t(32,56,12)+t(32,48,28)s(40,24,28)-*
s(24,24,28)s(32,24,20)t(16,24,12)-c(40,24,20)**t(32,24,20)*
s(16,16,20)t(16,40,12)+s(40,48,12)s(40,8,12)+c(24,48,12)++
s(40,40,20)s(8,40,12)t(32,40,28)t(32,32,12)-+s(16,40,20)*-
c(32,32,28)c(40,16,12)-t(32,48,20)-c(32,24,12)t(32,48,28)+*
s(32,8,12)s(16,16,20)c(40,24,12)++t(40,32,12)s(16,24,20)+-
c(48,40,12)s(16,40,20)+s(8,32,12)-s(16,40,12)s(32,16,20)+-
s(16,40,20)s(32,24,28)t(24,32,28)*c(40,40,20)--t(24,40,28)*
s(40,24,28)s(32,24,20)t(24,48,28)-c(40,40,12)+-s(24,16,12)+
s(40,24,28)c(32,32,12)-t(24,32,28)t(32,32,28)*+s(40,32,28)-
s(32,24,28)s(16,16,12)-s(40,40,20)s(48,16,20)+*c(24,16,12)+
t(40,32,20)s(32,24,28)c(24,40,12)-c(48,48,12)s(32,16,20)+--
s(40,32,20)s(48,16,12)-t(32,40,12)-s(24,48,12)+c(40,40,20)*
c(32,32,20)c(24,32,20)s(16,48,20)c(24,32,20)*c(40,32,20)+**
s(40,32,20)c(32,24,20)c(24,32,20)s(16,40,12)-++s(48,40,20)*
s(32,24,20)c(32,40,20)t(40,16,12)t(32,32,28)+*+s(24,32,20)*
s(40,32,20)s(40,40,28)s(24,24,12)-*t(32,32,28)s(40,16,12)-+
s(32,24,28)s(16,16,20)s(16,40,20)s(16,24,20)c(16,16,12)--+*
s(24,48,20)t(32,48,20)+s(48,24,20)s(40,32,12)-s(32,32,28)+-
s(24,32,20)s(32,40,28)s(16,48,12)-+s(32,40,20)c(48,16,12)+*
s(32,24,28)c(16,16,12)c(40,24,20)+t(40,24,12)-*t(32,48,20)+
t(32,32,12)s(40,48,12)s(24,40,12)+t(32,32,28)*+s(40,16,20)-
s(32,24,28)s(32,32,20)s(16,40,12)-s(40,40,28)t(24,32,28)***
c(32,32,20)s(24,24,28)*c(24,40,20)t(32,48,28)*+c(16,48,12)+
s(24,48,20)t(16,48,12)s(48,32,20)s(40,32,28)s(48,32,12)-++*
c(32,32,28)s(48,32,20)t(32,48,20)-s(24,24,20)-*c(24,40,20)+
c(40,24,20)c(40,32,20)t(32,48,20)c(24,40,20)*s(32,40,12)+-+
t(24,32,28)t(48,48,12)s(32,24,20)c(24,24,20)*t(24,24,20)*+*
s(32,32,28)s(32,8,12)s(48,48,20)t(16,32,12)+c(32,40,20)++*
t(24,24,12)s(40,40,28)c(32,32,28)c(24,32,12)s(32,48,20)+*-+
s(40,32,28)s(24,40,28)t(16,40,12)c(32,16,12)+-c(16,24,12)--
s(32,40,28)s(32,16,20)-s(40,40,20)s(48,32,20)*+s(48,40,12)-
s(40,24,28)s(24,48,20)s(48,48,20)+s(16,40,20)c(24,24,20)++*
s(40,24,28)t(24,32,28)c(24,32,20)s(32,40,28)**s(40,40,28)**
s(24,32,28)c(24,40,20)s(16,48,20)s(24,16,12)+--s(40,24,28)-
s(48,16,20)s(32,24,28)s(48,32,20)c(40,32,20)t(40,24,20)-+--
t(24,40,20)t(24,32,28)s(16,40,20)+s(48,40,20)+s(32,16,20)*+
t(32,32,20)s(32,24,28)s(24,32,20)c(48,48,12)t(24,32,28)+***
c(32,32,28)s(40,24,28)*s(24,40,12)+t(24,40,28)*s(48,40,20)-
t(32,48,28)t(32,24,20)+c(32,32,28)s(24,24,20)-s(32,32,12)+-
s(48,48,20)c(32,40,20)s(32,32,20)t(40,40,20)--s(32,48,20)*+
s(32,40,20)s(16,32,20)s(40,24,28)t(48,24,12)-s(40,40,20)*--
t(24,32,28)c(32,40,20)t(24,32,20)-s(32,32,28)c(32,40,20)**-
t(40,48,20)s(24,48,20)+s(16,48,20)s(32,32,28)t(32,48,28)*-*
s(32,8,12)s(48,16,12)s(16,32,12)t(40,56,12)+++c(16,24,12)+
s(24,16,20)s(24,24,12)s(32,48,20)+c(32,24,20)s(32,40,28)**-
s(32,32,28)s(16,24,12)-s(24,24,20)c(24,32,12)--c(24,24,20)*
s(40,40,20)c(24,40,20)s(16,24,20)c(32,24,20)c(24,32,20)**-*
s(32,48,12)c(48,32,12)c(24,24,20)t(40,40,12)++t(32,40,28)*+
c(32,32,28)s(48,48,20)-c(32,32,20)s(40,24,20)s(24,24,20)*--
s(40,16,12)c(24,24,20)s(32,32,20)*c(24,16,12)+c(40,24,20)*+
s(16,40,20)t(24,16,12)+t(40,24,20)s(40,32,20)+t(40,48,12)+-
t(40,48,12)t(40,16,12)t(24,56,12)++t(24,32,28)s(24,24,20)+-
s(48,32,20)s(48,32,20)c(32,16,12)s(24,40,12)+-s(8,24,12)+*
s(16,8,12)s(8,24,12)+t(40,32,20)+c(32,40,12)-c(16,32,12)+
s(40,40,28)t(24,48,28)*t(24,48,28)t(24,40,28)*s(16,16,20)-*
s(8,48,12)s(8,32,12)+c(32,32,20)+s(24,48,20)s(40,32,28)+*
s(40,24,28)t(32,32,28)s(40,32,20)++t(40,40,20)-s(40,40,28)*
s(40,48,20)s(24,24,20)+s(24,32,20)c(24,40,20)t(40,40,20)-**
t(24,40,20)t(32,32,28)t(32,48,28)-c(40,32,12)++s(48,32,20)*
c(40,40,20)s(48,40,20)s(32,40,28)*s(16,16,20)+-s(24,48,12)+
s(40,24,28)t(24,32,20)s(16,16,20)+-s(40,32,20)t(40,16,12)-*
s(48,24,20)s(48,40,20)c(32,24,20)s(16,40,20)s(48,48,20)+*+*
s(32,16,20)s(16,24,20)s(32,48,12)+c(24,32,20)c(16,16,12)-*-
s(48,24,12)c(40,48,12)s(40,32,20)+s(48,40,20)t(24,32,28)-*+
c(32,48,12)t(32,40,28)c(40,24,20)c(40,32,20)**+s(32,16,20)+
t(24,32,28)t(24,40,12)-s(32,40,20)t(32,48,28)*c(24,32,20)*-
s(16,24,20)t(40,48,20)+t(24,48,28)*t(32,24,20)+s(40,40,20)*
t(32,40,28)s(40,24,28)*t(40,48,20)s(40,24,20)s(16,40,20)+--
s(32,40,28)s(24,32,20)t(32,40,28)s(40,32,20)*+-s(8,32,12)+
t(24,40,28)c(32,40,20)s(32,24,12)-t(32,32,28)*t(32,24,12)+*
t(24,48,28)c(40,32,20)s(32,32,12)t(32,48,20)+s(8,24,12)+*+
s(40,16,12)s(24,32,28)s(40,24,20)t(32,32,28)*-+c(32,24,20)*
s(40,24,28)s(32,48,20)-s(32,24,28)t(24,32,20)t(24,48,12)+-*
c(16,32,12)s(48,40,12)+s(32,40,12)-t(40,40,20)+s(32,24,20)-
c(24,48,12)t(32,24,20)+c(40,16,12)c(32,16,12)+-s(40,32,20)-
s(48,24,20)c(32,32,28)t(24,40,28)s(24,40,28)t(40,48,20)-*-*
s(40,32,20)s(32,32,20)s(40,16,12)-t(32,32,20)+c(24,40,12)-+
c(40,40,20)s(40,32,28)t(24,24,12)t(16,24,12)+s(48,32,12)+--
c(40,40,20)c(24,40,20)c(40,40,12)t(32,24,12)s(24,32,12)+++*
c(40,32,20)s(48,24,20)t(32,40,20)+*t(32,32,28)s(40,32,20)**
s(32,40,28)s(40,24,12)t(40,40,20)+c(24,40,20)+c(32,40,12)--
t(32,40,28)s(40,40,28)c(32,24,20)*+s(32,24,28)c(40,40,12)-*
s(24,40,28)s(24,24,28)c(40,32,12)--s(16,16,12)c(40,24,12)+-
s(24,40,20)s(40,40,28)*s(16,40,12)+t(24,48,28)+s(40,48,20)+
s(16,32,20)s(40,32,28)-s(40,8,12)+s(48,24,20)t(48,48,12)+-
s(16,32,20)c(40,32,20)+t(48,40,12)-s(24,32,28)*s(40,24,20)*
s(24,32,28)s(32,40,28)c(40,32,20)-s(40,16,12)+s(24,32,28)*-
c(24,40,20)s(24,32,20)c(32,24,20)++c(32,40,20)*c(40,40,20)*
s(40,24,28)t(40,24,12)s(48,24,12)+-t(24,48,20)-s(32,24,20)*
s(16,48,20)s(24,40,28)s(40,48,20)-s(24,40,20)*s(32,40,28)*-
s(16,32,12)s(32,8,12)+s(32,48,20)t(32,48,28)s(24,48,12)-*+
t(32,32,20)s(32,40,20)s(24,24,28)s(32,32,20)*s(24,40,28)***
s(24,32,28)c(32,24,20)s(24,32,28)*s(24,32,20)*t(40,32,20)+*
c(24,40,20)s(8,24,12)c(32,32,28)s(32,40,28)s(24,8,12)+*+*
c(32,32,20)c(40,32,20)s(32,48,20)s(16,24,12)+c(16,16,12)--*
s(40,24,28)s(48,32,20)*s(24,32,20)+c(40,40,12)-s(32,24,28)*
s(48,40,20)c(32,40,20)s(24,40,20)t(32,24,20)-t(32,40,12)--*
c(40,24,20)t(24,48,28)+s(48,48,12)c(32,24,20)+*s(32,32,28)*
s(16,8,12)c(40,32,20)+s(8,24,12)s(40,24,20)+s(40,24,28)**
c(40,32,20)s(32,24,28)*s(32,24,28)s(48,48,12)+s(32,40,12)-*
s(32,32,20)t(40,40,20)s(16,32,20)s(24,16,20)t(24,40,12)+*+*
s(24,24,20)s(32,48,20)+t(32,24,20)s(16,32,12)s(24,48,20)+--
s(32,24,28)s(32,40,20)s(48,24,20)+t(40,40,20)-s(24,24,20)+*
s(40,48,20)t(24,48,28)c(32,16,12)s(16,8,12)++s(48,48,12)+*
t(24,32,28)s(32,32,20)s(32,16,20)s(8,16,12)+*-s(16,24,20)-
c(32,32,20)s(24,48,12)-s(32,32,20)*c(24,40,20)t(40,40,12)--
s(32,40,12)c(48,40,12)+s(32,24,28)s(48,24,20)+c(32,40,20)*+
s(40,24,20)s(40,40,20)+s(32,32,28)t(40,32,20)-s(16,48,20)-*
s(40,24,28)s(40,48,20)c(40,32,20)c(32,32,20)*+*s(40,24,20)*
s(32,40,28)t(40,48,12)s(40,32,12)+-c(32,32,28)s(16,24,20)*-
s(24,48,20)c(24,40,20)c(32,32,20)s(48,24,12)-+*t(32,40,28)*
s(24,16,20)s(24,24,20)s(24,48,12)+s(8,40,12)s(48,40,20)++*
s(32,32,28)t(16,24,12)-s(48,40,12)s(16,40,12)+c(40,48,12)--
s(48,32,12)t(24,32,20)+s(40,32,28)s(32,48,20)*-c(24,32,20)*
s(16,16,20)s(16,8,12)s(24,24,28)s(24,32,28)*+s(48,32,12)+*
t(24,48,28)s(24,32,20)-s(24,40,28)s(32,48,20)-s(32,24,20)--
s(40,32,20)s(48,24,20)*t(32,32,28)s(24,16,20)++s(8,40,12)+
t(24,48,28)s(32,32,12)-t(24,40,28)t(40,24,12)+t(40,32,12)-*
c(32,32,28)s(32,24,20)t(32,32,28)*-c(32,32,12)s(24,16,20)++
t(32,40,28)s(8,32,12)s(40,24,28)s(32,24,28)c(24,40,12)-++*
t(40,40,20)c(40,24,12)+t(24,40,20)s(40,24,12)s(24,24,12)++*
t(48,56,12)s(32,40,20)+s(32,48,20)*c(32,32,20)t(24,24,20)+*
s(32,40,28)c(32,32,28)c(40,48,12)t(24,32,20)s(24,16,20)++**
c(24,40,20)s(24,48,12)c(24,16,12)+*s(40,32,20)+s(48,32,12)-
s(16,32,20)t(32,32,28)-c(24,32,20)t(32,40,12)-s(24,40,28)*+
c(32,32,28)s(24,32,12)-c(32,24,20)-s(24,32,28)*t(16,48,12)-
t(24,48,28)s(40,32,20)s(24,40,20)-+c(40,16,12)s(32,40,28)+*
s(32,40,28)t(24,32,12)s(48,32,20)+c(40,48,12)+t(40,48,12)-*
t(32,40,20)c(32,16,12)t(32,40,28)s(24,40,20)c(48,16,12)+*+*
s(24,48,20)t(24,48,20)t(32,48,28)*t(24,16,12)+s(32,32,20)+*
s(32,40,28)s(40,24,12)s(16,8,12)+-s(48,16,20)c(32,32,20)-+
s(32,16,20)c(40,24,20)t(48,16,12)-s(48,16,12)+*t(24,40,20)-
s(32,32,20)c(40,24,20)*c(24,24,12)+t(32,32,28)s(40,24,20)**
c(24,24,12)c(40,32,20)s(48,24,20)*s(24,40,20)-+c(32,24,20)*
t(24,48,28)s(32,24,20)s(48,16,20)c(40,32,20)+*-s(32,40,20)*
t(48,48,12)t(24,40,12)+s(32,40,28)c(40,40,12)t(32,48,28)+-+
t(24,40,28)s(32,32,12)-s(16,32,12)s(40,16,20)+c(24,24,20)*+
s(32,32,20)s(40,24,28)s(40,8,12)-*s(8,32,12)+s(24,24,20)-
t(40,40,20)s(40,48,20)t(32,56,12)s(24,40,12)+-+t(32,16,12)+
s(32,40,28)s(16,48,20)-s(24,40,28)t(48,48,12)+t(24,40,28)-*
s(32,32,28)c(40,24,20)s(40,40,20)*s(8,8,12)+*t(48,56,12)+
t(24,32,28)c(32,40,20)s(8,32,12)+s(32,40,28)*c(16,24,12)-*
c(40,40,20)t(32,48,12)-s(40,16,20)+c(40,40,20)*c(40,24,20)*
s(24,40,20)c(16,16,12)+t(32,40,28)s(32,40,20)s(24,24,28)**-
s(40,24,20)s(48,8,12)+s(40,24,28)c(32,40,20)c(32,32,20)*--
s(24,40,28)c(32,32,28)c(48,16,12)-t(40,56,12)t(40,32,20)+**
s(40,24,20)s(32,24,28)c(32,32,20)-c(32,32,28)*-t(32,48,28)-
c(40,32,20)c(40,40,12)-s(40,24,20)t(32,48,28)s(24,32,28)*-*
s(32,16,20)s(40,16,20)*s(32,48,20)s(40,8,12)++t(32,32,28)*
c(32,32,28)c(40,24,20)t(16,56,12)+c(40,32,20)*s(48,40,20)+*
s(24,24,12)s(32,40,28)s(48,40,12)-c(32,32,12)-+t(48,40,12)+
t(24,40,28)c(24,40,20)s(40,40,28)c(40,32,20)***t(40,32,12)+
t(24,40,20)c(48,32,12)+c(32,48,12)c(32,32,20)+s(24,40,28)**
s(24,40,20)c(40,32,20)c(24,48,12)s(40,8,12)+-+s(32,16,20)+
t(48,24,12)c(24,32,20)s(16,48,12)-+s(40,40,28)*s(24,24,28)*
s(16,24,20)s(16,16,20)s(24,32,20)s(32,24,20)--+t(32,48,20)+
c(32,24,20)s(32,24,28)t(40,24,20)-t(32,48,12)+*s(40,32,28)*
s(24,32,28)t(24,16,12)-s(32,32,20)*t(32,40,20)s(32,16,12)+*
s(40,48,20)s(24,32,20)s(32,32,20)t(16,56,12)+*-s(40,32,12)-
s(24,24,20)s(48,24,12)+c(32,24,20)s(32,40,28)c(32,32,20)***
s(32,40,20)s(32,40,20)t(16,16,12)+c(24,32,20)**s(32,24,28)*
s(40,24,20)t(24,32,28)c(40,40,12)+s(24,48,12)-s(16,16,20)--
c(32,24,20)c(40,40,20)c(48,40,12)-c(40,48,12)s(16,40,12)+--
t(16,32,12)c(24,16,12)t(24,48,12)++s(24,40,28)*c(24,32,20)*
s(16,24,12)t(32,48,28)c(32,32,20)*+s(32,24,28)*s(32,48,12)-
s(16,16,20)t(24,40,12)t(40,16,12)c(48,32,12)++c(40,24,12)++
t(32,32,20)s(32,32,28)c(40,32,20)+s(40,16,20)-+t(24,40,20)-
s(32,16,20)s(24,24,28)*s(48,24,20)c(24,24,20)s(32,40,28)---
c(32,32,28)s(32,24,28)c(40,24,20)*-s(16,16,12)c(16,48,12)+-
c(24,32,20)s(8,32,12)t(24,40,20)+*s(16,48,12)-s(16,24,12)+
t(32,24,20)c(24,40,20)+t(32,32,28)s(48,48,20)s(48,24,12)++*
s(32,32,28)t(40,48,12)s(48,8,12)c(48,24,12)++s(32,40,28)*-
c(40,48,12)t(32,56,12)s(32,24,28)s(40,32,28)*+t(40,24,20)*+
s(24,16,12)c(40,24,12)+s(48,16,12)-s(40,48,20)+s(24,24,20)*
c(32,40,20)s(40,40,20)*s(24,32,20)s(40,40,12)+s(40,48,12)-+
s(8,24,12)s(24,32,28)s(40,32,28)s(48,16,20)s(48,24,20)*-*+
s(40,32,20)s(48,40,20)t(32,32,28)s(24,32,28)*+c(24,24,20)*+
c(24,24,20)s(16,32,20)*s(16,16,12)c(48,48,12)+s(48,40,12)+-
s(40,32,28)t(24,40,28)c(40,32,20)s(24,24,28)--t(24,32,28)**
s(32,32,28)s(40,24,20)-t(40,40,12)-c(48,40,12)-t(40,48,20)-
s(24,32,20)c(24,40,20)*t(32,16,12)+s(40,24,20)t(24,24,20)-+
s(40,24,20)s(40,24,28)s(24,24,12)c(48,32,12)+-c(40,16,12)--
s(40,32,28)s(40,48,20)s(32,40,20)**s(40,24,20)t(40,32,20)-+
s(40,32,28)c(32,40,20)s(16,48,20)+t(32,24,20)t(16,32,12)++*
s(48,16,20)t(32,48,28)s(24,40,20)s(16,32,12)-*+s(32,16,20)*
s(40,32,28)s(8,16,12)s(24,40,28)+*t(16,16,12)+t(24,40,28)*
t(32,24,20)c(32,40,20)c(40,24,12)-c(32,24,20)c(24,24,20)+-+
t(40,32,12)t(24,40,20)s(32,40,20)s(16,24,20)-c(48,40,12)-++
s(32,32,20)s(16,48,20)t(32,40,12)s(48,48,20)+t(16,40,12)++-
s(32,24,20)s(24,24,12)-s(16,16,12)+s(40,32,28)*s(24,32,28)*
t(40,40,20)t(48,40,12)t(40,16,12)s(16,32,20)++c(40,24,20)*-
t(32,48,28)c(32,32,28)*c(40,32,20)t(24,40,28)c(24,40,20)+**
t(24,40,12)t(32,56,12)+c(24,40,20)t(32,48,20)t(24,48,28)**+
c(48,40,12)s(16,40,20)c(32,32,12)-c(32,40,12)++t(32,48,28)*
s(16,32,20)t(16,16,12)-s(16,40,12)s(32,32,20)s(48,40,20)-+*
c(32,32,28)c(32,16,12)-s(24,32,28)s(40,24,28)--s(24,24,20)-
s(8,24,12)t(24,40,12)t(16,56,12)++c(32,40,12)t(16,40,12)++
c(40,16,12)s(48,24,12)s(32,24,12)+t(16,48,12)++c(24,24,20)*
c(40,24,20)t(24,40,28)t(24,48,28)*+c(32,24,20)s(32,32,12)--
s(40,40,20)s(40,16,12)+s(24,40,28)c(32,40,20)*+c(32,24,20)-
c(32,32,20)t(24,48,28)s(16,24,20)-s(32,40,20)c(24,40,20)*+-
c(40,40,20)t(24,32,20)+c(48,40,12)t(40,24,20)+s(40,24,28)*+
c(32,24,20)t(32,40,28)+s(16,32,20)s(40,24,28)+c(24,32,12)-*
s(40,40,28)c(48,24,12)-t(24,48,28)c(32,24,20)--s(48,32,20)-
t(32,32,20)c(48,32,12)-t(32,48,28)+s(40,24,28)*s(16,40,12)+
c(32,32,20)c(32,32,20)s(40,24,28)s(40,40,20)**-c(32,24,20)*
c(40,32,20)t(16,32,12)t(40,48,12)+-t(32,32,28)+s(32,48,12)-
s(16,40,20)s(16,24,20)*s(40,32,28)c(32,32,20)c(16,24,12)--+
s(40,32,20)c(24,32,12)+s(24,8,12)s(40,32,20)s(24,32,20)*+*
c(24,24,20)t(24,48,20)-s(16,16,12)-c(24,32,20)c(24,24,20)**
t(16,48,12)s(16,24,20)t(32,32,20)-t(24,32,28)c(24,24,20)*++
c(32,24,20)t(24,16,12)-c(32,40,20)c(32,24,20)*-s(24,32,20)+
s(40,48,20)s(24,24,28)s(40,32,28)*c(16,40,12)-+s(24,24,20)*
s(40,40,28)c(40,24,20)s(32,32,20)+*s(16,48,12)+t(40,24,20)*
s(48,40,12)s(40,16,20)s(48,16,20)t(32,32,28)-*+s(24,32,12)+
t(48,32,12)t(16,48,12)s(16,24,20)c(32,24,12)-++t(24,40,28)*
c(24,16,12)c(16,32,12)+s(32,32,28)s(40,24,28)+t(40,48,20)-*
s(40,40,20)c(24,24,12)s(24,40,20)+*s(16,24,12)+c(40,40,20)*
c(24,40,20)t(48,48,12)s(32,48,20)s(16,32,12)+s(32,32,20)-+*
s(48,16,20)t(16,24,12)+s(32,16,12)c(24,32,12)c(40,40,20)+++
t(48,24,12)s(40,48,20)t(24,56,12)-t(48,48,12)-+s(40,40,28)*
c(48,24,12)s(32,40,20)+c(24,24,20)t(16,32,12)c(40,16,12)+--
s(24,24,28)s(40,32,28)c(48,32,12)-t(24,32,12)-s(24,48,20)--
s(16,8,12)s(32,32,20)c(24,24,12)-+s(16,48,20)-s(40,32,20)+
s(48,32,20)t(32,56,12)c(32,40,20)t(32,32,28)*+-s(24,32,28)-
c(32,40,12)s(8,16,12)t(40,32,12)+s(16,48,12)+s(24,48,12)++
s(32,32,20)s(32,24,28)s(24,32,28)-s(48,24,12)+-s(48,24,20)-
s(40,32,28)s(48,24,20)-c(40,40,20)t(32,40,28)**s(40,40,20)*
s(32,24,20)c(16,16,12)-s(24,24,28)t(24,32,28)*s(48,32,12)+*
t(32,48,28)s(48,24,20)s(48,32,20)*+s(48,32,20)*s(32,48,12)+
t(32,40,20)c(24,32,20)*c(32,32,28)s(24,40,20)-c(24,24,12)-+
t(40,24,12)c(40,24,20)s(40,24,28)t(24,40,20)-*c(24,24,20)*+
t(16,32,12)c(32,24,20)s(24,32,28)c(32,48,12)-*s(40,24,28)*+
t(32,32,28)s(24,40,28)s(48,40,20)s(24,32,12)+s(32,16,20)---
c(24,40,20)s(40,16,20)+c(40,32,20)t(48,48,12)-*c(24,40,12)-
s(32,24,28)c(32,32,28)c(48,16,12)s(8,8,12)c(48,24,12)++-*
s(40,16,20)s(32,40,20)s(40,40,20)s(40,32,20)**t(24,48,28)+-
c(32,40,20)s(48,32,12)-t(40,48,20)*t(32,16,12)+t(24,24,20)+
s(24,40,28)s(32,32,28)*t(32,32,28)t(16,40,12)-*c(40,40,20)*
c(24,24,12)s(32,24,12)s(32,40,20)+s(40,16,20)s(40,32,12)+*+
s(16,32,20)t(32,32,28)c(32,32,12)-t(32,32,20)c(40,24,20)*+*
c(32,32,28)s(8,32,12)s(40,40,20)+s(32,40,28)+*c(40,40,20)-
c(40,40,20)t(48,16,12)s(32,24,28)s(32,40,28)*t(40,32,12)-+*
t(32,32,28)s(32,40,28)s(32,32,28)*t(24,48,28)s(32,32,20)--*
s(40,48,20)s(32,40,28)t(40,40,20)t(24,48,20)-s(48,16,12)+*+
c(32,24,20)s(40,32,28)s(40,48,20)-s(24,16,20)+t(24,56,12)+*
t(24,40,20)s(40,32,12)+c(48,16,12)+c(32,24,12)-s(48,24,20)*
s(24,32,20)s(40,40,20)+c(16,16,12)-t(24,48,12)s(48,32,12)+-
s(40,40,20)s(40,16,20)+c(32,40,12)s(40,32,12)s(8,32,12)++-
s(32,32,20)s(40,48,20)-s(40,32,28)s(32,24,28)-+c(48,32,12)-
c(40,40,20)t(24,40,20)-c(40,16,12)-t(24,24,12)t(48,48,12)+-
s(16,40,20)c(32,32,28)*t(32,32,28)t(48,56,12)t(32,40,20)+*-
s(24,24,12)c(40,40,20)s(48,40,12)-+t(32,48,28)*s(32,40,20)*
c(24,24,20)c(32,40,20)-c(24,40,20)c(24,48,12)-c(40,24,12)-+
s(24,24,28)t(32,48,20)c(32,32,28)s(48,40,20)-+c(48,32,12)++
s(32,48,20)c(24,32,12)s(8,40,12)+-s(40,40,28)*t(24,48,28)+
c(32,32,28)t(32,40,28)s(40,32,20)*-s(16,48,12)s(48,32,20)+*
c(16,48,12)s(40,24,28)+t(24,32,28)+c(24,24,20)*s(32,40,28)*
s(16,24,20)s(32,32,20)s(32,24,28)t(32,16,12)-*s(48,24,12)--
s(32,32,28)c(24,24,20)s(24,40,12)-c(32,24,20)+t(24,40,28)-*
s(32,48,20)t(24,48,28)s(48,16,20)s(32,24,20)-t(32,40,28)+**
c(24,24,20)s(32,32,28)s(16,24,20)+c(32,24,12)-s(48,24,12)-*
s(8,16,12)t(40,48,12)s(40,24,12)++s(24,8,12)s(48,40,20)+-
c(32,32,20)c(32,40,20)*c(16,48,12)+s(8,32,12)+t(32,48,28)*
c(32,32,28)s(24,16,20)-s(40,32,20)t(24,32,20)+*s(32,48,20)-
s(40,16,20)s(32,24,28)*s(16,16,20)s(16,32,20)s(16,40,20)*--
t(24,32,28)c(40,24,20)c(40,40,20)s(32,48,12)-*-s(24,32,12)-
t(24,48,28)c(24,32,20)s(32,40,20)t(24,24,12)c(24,16,12)+-*-
c(24,40,12)s(32,48,12)+t(40,32,20)s(32,32,20)*+t(24,48,12)-
s(16,32,12)t(40,40,20)+t(32,32,28)c(24,24,20)s(24,40,20)+**
s(40,32,28)t(24,48,28)s(16,32,20)--t(48,40,12)-s(32,40,20)-
t(48,32,12)s(24,40,20)t(40,24,20)-t(32,24,20)-+t(32,32,20)-
c(40,40,20)s(24,16,20)c(24,24,20)s(24,32,28)s(8,48,12)-**+
c(32,32,28)s(16,32,20)-s(48,8,12)+s(16,48,20)-s(48,32,12)-
s(16,24,20)t(32,40,28)s(48,24,20)-s(32,32,28)t(40,32,20)-*-
s(40,40,28)t(48,24,12)s(24,16,12)t(32,48,28)c(24,32,12)-++*
s(24,32,28)s(48,48,20)-t(32,40,28)t(32,48,20)t(24,40,12)--*
s(24,32,28)t(24,32,12)-t(24,32,28)*s(16,40,12)-c(16,48,12)+
t(40,48,20)s(16,48,20)-t(24,40,20)+c(48,48,12)-s(24,32,20)*
c(40,40,20)t(32,24,20)c(40,32,20)+s(40,32,20)t(24,40,28)+**
c(48,40,12)s(24,40,28)c(24,24,20)t(24,32,28)**s(16,48,20)++
s(32,24,20)s(8,8,12)+t(32,32,28)c(32,24,12)c(32,48,12)+**
s(32,40,28)t(40,56,12)s(32,32,20)t(32,40,28)c(24,40,20)*++*
s(32,32,28)s(40,32,28)s(48,16,20)*-s(24,40,28)c(24,40,12)-*
s(16,40,20)s(40,24,20)t(24,32,12)-c(32,48,12)c(32,16,12)+-+
s(32,8,12)c(16,16,12)+t(24,40,12)+s(32,32,12)+s(40,24,28)-
c(24,24,20)t(40,56,12)+s(24,24,28)s(48,40,20)-*c(24,32,20)+
s(16,48,20)t(24,32,28)+c(48,40,12)+c(24,32,20)*t(16,48,12)-
s(32,24,20)c(32,32,20)c(32,32,20)t(32,40,20)-s(40,40,28)*-*
s(32,8,12)s(32,24,28)c(40,40,20)*t(32,40,28)*+t(32,32,12)-
c(24,40,20)s(48,24,20)c(32,32,28)*-s(32,40,20)+t(32,40,12)-
c(32,24,12)s(24,24,20)c(24,16,12)-s(48,40,20)+s(32,40,28)-+
s(40,40,20)s(24,32,20)s(16,32,12)-t(24,40,28)*+c(32,40,12)-
t(24,48,12)s(40,32,20)s(40,24,20)s(32,40,12)-*+s(16,24,12)+
s(16,40,20)t(40,16,12)+s(24,16,12)t(24,24,12)+s(24,48,20)+-
s(48,40,20)s(48,32,12)-c(32,24,20)-t(32,40,28)t(24,32,28)*-
t(24,48,28)t(16,40,12)-s(32,32,20)t(32,40,28)*+t(24,24,20)-
s(24,24,20)s(32,32,20)s(16,32,12)+t(32,40,20)t(24,32,28)+**
s(16,16,20)t(16,56,12)+c(40,24,20)s(48,24,20)c(24,24,20)-*+
c(32,24,20)s(48,16,20)t(32,24,12)--c(32,32,20)s(32,40,28)+*
s(32,16,12)c(32,24,12)+s(32,40,28)+c(40,16,12)-s(32,32,20)*
s(8,32,12)s(40,24,28)+s(16,40,20)s(40,16,12)+*s(16,24,20)+
t(32,40,28)s(48,48,12)-s(24,32,12)-t(24,40,28)t(24,32,20)-+
s(40,32,28)t(24,40,28)-c(24,32,20)s(24,24,28)t(24,24,20)-*-
c(40,32,20)t(32,24,12)-s(40,24,28)c(24,40,20)-+c(24,32,20)*
s(40,16,12)s(32,32,28)s(24,24,20)c(32,32,12)+*s(48,16,20)-+
c(40,24,20)s(32,40,20)s(24,32,28)s(32,40,28)s(48,24,20)-**-
t(24,48,28)s(40,32,20)-c(24,40,20)s(32,48,20)-s(24,40,20)*+
t(24,32,28)s(48,24,12)t(32,48,12)++s(40,32,20)s(32,32,12)-*
t(32,40,28)s(32,32,28)*c(16,24,12)+s(40,40,20)c(16,16,12)+*
s(40,24,20)s(24,48,12)+t(24,24,20)s(24,48,20)++s(40,32,12)-
s(16,16,20)c(32,32,20)c(16,32,12)+s(24,40,20)t(32,32,12)-*+
c(32,40,20)s(32,24,28)+c(24,32,12)c(40,24,12)t(32,32,20)++-
t(48,56,12)s(24,24,20)s(16,40,20)t(24,40,20)*-+c(40,24,12)+
s(48,48,20)t(16,16,12)+t(32,32,28)-t(24,48,12)t(40,24,12)++
s(40,40,12)t(24,40,20)c(48,48,12)+s(32,40,20)c(48,24,12)+*+
s(32,32,20)s(16,40,12)+t(32,40,12)-c(32,32,20)*t(32,48,12)+
s(40,32,20)s(24,32,28)c(16,48,12)s(32,32,12)+*+c(32,24,12)-
s(48,24,20)t(32,40,28)s(32,24,28)*+s(24,8,12)+s(32,32,20)*
s(24,32,28)c(40,40,20)t(32,48,12)-s(40,24,28)*s(40,24,20)*-
c(40,24,20)s(24,8,12)s(16,48,20)s(32,48,12)++t(40,32,12)+-
s(24,32,28)s(40,32,20)*s(16,40,20)-c(48,16,12)+c(32,24,12)-
t(32,32,20)s(40,48,20)c(24,32,12)-c(16,32,12)+s(16,40,20)*+
c(24,32,12)c(48,24,12)+s(24,24,20)+s(16,40,20)+s(24,40,20)*
c(24,24,12)s(32,32,20)c(32,32,20)t(32,40,12)-c(24,32,20)**+
c(32,32,28)s(48,48,20)-s(40,32,28)s(48,40,20)*-t(32,32,28)+
s(48,8,12)t(40,32,12)s(48,48,20)++t(16,32,12)+s(48,16,20)+
t(40,40,20)s(32,24,20)+s(48,24,12)+c(24,32,20)s(8,40,12)--
c(32,24,12)s(24,40,28)t(40,40,20)s(24,40,20)+*c(40,32,20)*+
s(24,32,28)s(32,8,12)t(32,48,28)s(32,40,20)*+*t(32,32,12)-
s(40,24,28)t(32,32,20)s(24,48,12)+-s(16,24,20)s(32,48,12)++
t(16,40,12)s(40,32,28)c(24,24,20)s(40,24,28)+*+s(24,40,28)*
s(40,24,28)s(24,16,12)-s(40,48,20)t(40,32,12)-c(40,40,20)+*
s(16,48,20)c(24,40,20)s(16,16,20)+s(40,48,20)+c(32,32,12)-*
s(24,32,20)s(40,40,28)s(32,40,28)t(48,32,12)-s(40,48,20)-*-
t(16,40,12)c(40,24,12)+c(24,32,20)s(8,32,12)t(40,40,12)+-+
s(40,40,20)c(40,24,12)t(40,40,12)s(48,8,12)+s(48,32,12)-+-
s(32,48,20)c(24,40,20)+c(48,48,12)s(32,32,20)s(32,48,20)*+*
t(24,32,28)c(16,48,12)-s(48,48,12)+c(24,32,20)s(32,24,12)-*
s(40,40,12)t(32,40,20)t(24,32,28)*s(24,48,12)+t(40,24,12)++
s(40,32,28)s(32,16,20)t(40,40,20)s(8,24,12)++*s(32,40,28)*
t(32,40,28)s(24,40,28)c(40,40,20)*t(40,24,12)+s(32,24,20)*-
c(16,24,12)s(32,40,28)+t(24,40,12)-c(40,32,20)s(24,24,28)+-
c(24,32,20)t(40,56,12)+s(40,32,20)t(40,24,12)--s(32,32,28)*
t(24,32,28)s(48,40,20)-c(24,32,20)t(24,32,28)t(40,48,12)+**
s(48,16,20)s(40,24,20)t(32,40,20)s(32,48,20)*-*s(24,16,12)+
s(40,40,28)t(48,40,12)-s(32,32,28)s(32,16,12)s(40,24,12)+*-
s(24,24,20)c(24,32,20)s(32,24,28)**s(24,16,12)+c(40,32,12)-
s(24,16,20)s(48,40,12)s(16,48,20)c(32,40,20)*s(32,16,20)++*
t(32,48,28)t(16,32,12)t(32,48,20)+t(24,32,20)c(48,24,12)+-*
t(24,40,28)t(40,40,20)s(24,24,20)t(24,56,12)++s(24,16,12)--
s(24,24,28)c(24,40,20)*t(24,40,28)c(24,40,20)s(8,24,12)+**
s(24,24,20)s(32,8,12)-s(16,16,20)c(32,32,12)c(32,48,12)++*
c(24,16,12)s(24,40,28)+c(40,40,20)c(24,32,12)++c(32,48,12)-
c(40,32,20)s(40,24,28)t(40,40,12)c(24,24,20)+c(40,40,12)-*+
s(48,48,20)t(32,24,20)s(32,32,20)*+s(48,32,20)s(24,24,20)-*
s(48,16,12)t(16,24,12)s(32,48,20)t(32,48,12)-+c(32,32,20)*+
s(16,32,12)s(24,32,28)s(40,16,20)s(40,24,20)+c(48,40,12)-*+
s(32,40,28)s(16,24,12)-s(40,24,28)*s(16,8,12)s(24,32,28)+*
s(40,16,20)c(32,32,28)c(16,40,12)-*c(16,32,12)+s(32,16,20)*
s(24,40,20)t(40,40,20)-t(40,32,20)c(32,40,20)*+s(16,48,20)-
s(8,8,12)s(24,16,12)+t(40,40,12)s(16,24,12)+-s(40,40,20)+
c(24,32,20)t(24,32,28)s(24,24,20)s(32,24,20)*s(40,32,12)--*
t(24,48,20)t(32,32,20)s(32,16,12)+c(24,24,12)-s(32,48,20)+*
c(32,40,20)c(16,32,12)s(24,32,20)s(8,32,12)-+c(40,40,12)-+
s(40,24,20)t(48,48,12)t(48,56,12)++c(32,40,20)s(40,48,20)*+
c(40,24,20)s(16,24,20)c(40,48,12)s(24,16,20)+++s(24,40,20)*
s(48,40,12)s(40,32,12)+c(32,24,20)+s(16,24,20)-s(40,32,20)+
s(16,32,20)c(32,32,28)c(40,16,12)t(32,40,12)+-s(48,24,20)+*
s(32,32,20)s(48,16,12)+s(40,24,20)+c(24,16,12)+s(32,24,28)*
c(40,24,20)s(48,8,12)+s(32,40,28)*s(40,32,20)c(32,32,20)**
s(32,40,28)s(48,24,20)s(24,40,20)c(16,40,12)s(16,16,20)+*+*
t(24,40,28)c(40,32,20)s(32,32,28)*+s(48,16,20)t(32,24,12)+*
s(24,40,28)c(40,24,20)-t(40,32,20)+s(40,48,20)*c(48,48,12)-
s(40,40,28)t(32,32,28)s(16,24,20)+c(32,40,20)*t(24,32,12)-*
s(24,40,28)s(40,32,28)c(16,40,12)s(16,16,12)c(32,40,12)+++-
s(32,32,28)c(40,24,20)s(48,24,20)**s(32,48,20)-s(48,8,12)+
s(32,32,20)s(16,40,12)+s(32,32,12)c(48,16,12)+s(8,40,12)+*
s(40,16,20)s(24,40,20)s(40,32,28)*+s(48,24,20)s(40,48,20)-*
s(32,40,20)t(16,40,12)-s(40,40,28)s(16,32,20)-t(24,32,28)--
s(24,32,28)s(24,24,28)*t(32,24,20)s(40,40,20)t(24,56,12)++*
s(32,48,20)s(24,48,20)s(24,40,12)-s(16,48,20)+*s(32,40,20)*
c(24,40,12)s(48,40,20)c(24,24,20)+s(48,8,12)+c(24,40,12)-+
c(32,32,12)s(16,40,20)c(32,32,28)*+s(32,32,28)+t(24,40,28)*
c(32,24,20)s(48,32,20)t(16,40,12)+*s(8,48,12)+s(16,48,20)-
s(48,48,20)s(40,40,28)*c(40,40,20)t(40,32,20)-*s(32,32,12)+
s(40,24,20)s(24,48,20)+t(32,16,12)-s(40,40,28)t(32,32,28)--
s(16,32,20)c(24,24,20)s(48,40,20)+t(32,48,28)*-s(24,40,28)*
c(24,48,12)t(40,40,20)c(40,24,20)+t(32,32,28)-+s(40,40,20)+
t(24,32,28)c(48,48,12)+t(16,40,12)-t(40,48,20)+s(40,32,28)-
s(40,40,28)c(32,32,12)-s(40,16,12)s(40,48,20)t(24,24,12)++*
s(32,32,28)s(40,40,28)*c(40,24,12)+s(32,32,20)*c(40,48,12)-
t(40,48,20)t(40,40,20)+s(24,32,20)-s(48,8,12)+c(40,24,20)+
s(16,48,20)t(24,32,28)c(48,40,12)+s(40,32,28)+-t(32,32,12)+
t(24,48,28)t(24,48,12)-c(40,48,12)c(16,40,12)+c(48,40,12)-+
s(8,24,12)s(24,40,12)+t(40,24,12)c(48,40,12)+t(16,24,12)++
s(24,32,20)s(40,40,28)s(16,40,12)+t(48,56,12)s(24,24,12)++*
s(48,48,20)s(48,40,20)*c(40,40,12)s(16,16,20)++t(24,40,20)-
c(40,40,20)s(40,32,28)c(32,32,20)--t(24,32,12)-s(48,48,20)-
c(24,24,20)s(16,24,20)c(24,32,20)s(16,32,12)c(32,40,12)+---
c(32,40,20)s(16,8,12)t(24,40,20)s(8,40,12)-+t(16,32,12)+-
s(24,40,28)s(32,32,20)*s(32,40,20)s(24,24,20)-c(40,40,20)*-
c(24,32,20)c(40,24,12)+t(32,24,12)-s(40,24,28)+c(32,40,20)+
t(40,40,20)s(8,40,12)s(48,40,20)s(24,24,28)-+t(24,48,12)++
s(24,32,28)s(40,40,28)t(48,32,12)-t(32,32,28)c(40,32,20)*+-
s(24,40,28)c(24,32,12)-s(48,16,12)s(24,32,28)c(24,32,12)-+*
c(24,40,20)t(40,48,12)-s(16,32,20)c(40,32,12)c(24,32,20)+**
c(40,32,20)s(24,40,20)s(24,32,20)*t(32,40,20)s(32,48,20)*+*
c(32,40,20)c(32,32,20)c(24,32,20)c(40,48,12)c(32,16,12)++**
t(48,56,12)t(16,48,12)s(40,40,20)s(24,24,20)-++s(40,40,28)*
s(24,40,28)t(48,24,12)t(32,32,20)t(24,24,12)-+c(32,24,12)+-
t(32,40,28)c(16,16,12)t(32,48,28)t(24,48,28)*s(40,24,28)++*
s(32,24,20)c(24,32,20)*s(32,24,28)c(48,40,12)c(24,40,20)+**
s(32,48,20)s(24,40,28)t(48,24,12)t(32,24,20)t(32,56,12)++*-
s(40,32,28)t(32,16,12)-s(16,24,12)s(16,48,20)+-s(24,24,20)-
t(32,48,28)s(24,32,12)+t(32,40,28)s(48,24,12)+s(40,24,12)-*
s(48,32,20)s(48,24,20)c(40,32,20)t(48,40,12)-s(32,24,28)**-
c(24,32,20)t(24,48,28)s(32,40,20)s(24,16,20)s(24,32,12)-+*-
t(24,40,20)c(24,32,20)s(24,16,20)s(40,40,20)+s(32,16,20)*-*
t(32,32,28)s(48,40,20)c(16,32,12)+*t(24,32,28)c(24,40,20)**
s(16,24,20)s(24,16,20)*c(24,32,20)t(24,40,28)*s(16,32,12)-+
s(40,48,20)s(32,8,12)c(24,40,20)++c(32,32,20)c(48,24,12)--
s(8,24,12)s(40,32,28)s(8,40,12)++t(32,32,28)t(48,16,12)+*
t(32,32,28)t(32,32,12)t(40,24,20)+s(40,16,12)+-t(24,40,12)-
t(24,48,28)s(16,32,12)t(32,40,28)c(48,48,12)+s(32,48,20)*+-
s(24,40,20)s(40,40,20)s(32,24,20)s(24,24,12)--+s(40,40,28)+
s(32,16,20)s(40,8,12)s(48,16,20)c(48,24,12)-+s(48,32,12)++
c(40,24,12)c(40,32,20)t(32,32,28)*s(24,24,12)-c(24,40,12)++
s(40,32,12)s(32,32,20)t(24,40,12)s(40,40,20)+s(24,40,12)--+
s(48,48,12)t(24,32,20)+s(40,24,20)-c(16,32,12)s(48,8,12)+-
s(32,40,28)s(24,48,20)s(24,48,12)-c(48,32,12)+*c(32,16,12)+
s(48,16,20)s(48,32,20)c(40,32,12)-s(32,16,20)-s(16,24,20)++
c(32,32,28)s(40,24,12)s(40,16,20)t(32,32,28)-+s(32,16,20)+*
c(24,24,20)s(32,32,20)s(16,16,20)-s(48,48,20)s(32,48,12)-+*
s(24,24,28)s(32,16,12)s(32,40,28)+s(16,32,20)s(24,32,20)***
s(8,32,12)t(16,56,12)t(40,48,20)+s(48,16,12)+c(40,24,20)*+
s(32,24,28)s(40,32,20)*s(40,40,28)t(24,40,20)-s(24,32,12)+*
t(16,48,12)s(24,16,12)+s(40,32,28)c(32,40,20)*s(16,48,20)++
c(32,32,28)t(32,24,20)-c(40,40,12)s(24,32,12)s(32,32,12)++-
s(32,40,28)s(16,48,20)t(32,24,20)+*s(24,32,28)*s(16,40,20)*
c(40,48,12)t(32,40,28)c(40,32,20)*t(40,48,12)-+s(16,24,20)-
c(24,24,20)s(16,8,12)-s(24,40,28)s(16,40,20)s(24,16,20)---
s(16,40,20)t(32,48,20)s(24,48,20)t(24,40,12)-+s(24,32,28)*-
s(40,16,12)c(40,32,20)c(48,48,12)-s(32,16,12)-+c(40,40,12)-
s(24,32,20)c(32,32,20)s(32,32,28)c(32,16,12)-*c(24,40,20)++
c(40,24,20)c(24,24,20)+s(32,32,28)s(48,48,20)s(32,48,20)-+*
t(24,48,20)s(16,40,12)-s(24,40,20)+c(32,40,20)*t(16,32,12)-
c(32,24,20)s(8,48,12)s(40,40,28)s(24,40,28)c(40,40,20)*-+-
c(24,40,20)t(16,56,12)t(40,40,20)++c(32,24,20)*t(24,32,28)*
s(24,16,20)s(24,8,12)-s(32,40,12)+t(24,32,20)-c(24,48,12)+
c(48,24,12)s(16,32,20)+s(48,24,20)c(40,48,12)+t(16,16,12)+*
s(40,32,20)s(48,40,20)s(48,24,20)*-c(40,24,12)+s(24,16,20)-
t(40,56,12)t(24,32,28)t(24,48,12)+s(40,40,20)*s(48,24,12)++
s(24,24,20)s(40,24,20)*s(8,16,12)s(24,24,12)+s(24,24,28)*+
s(48,40,20)s(32,32,20)s(8,40,12)++s(40,40,28)s(40,16,20)+*
t(24,40,28)s(32,40,28)t(32,24,12)-t(40,48,12)-s(24,24,28)**
s(32,24,28)s(32,40,28)*c(32,40,20)s(48,48,20)*-c(40,32,20)*
s(24,48,12)s(48,40,20)s(24,16,20)+s(40,24,28)*+t(24,32,28)*
s(16,24,20)s(24,32,28)c(32,24,20)c(24,32,20)s(24,24,28)**--
s(32,32,28)c(40,32,20)*t(32,32,28)s(16,48,20)-t(24,32,20)+*
s(32,32,20)c(40,32,20)s(24,40,20)s(32,40,20)*+t(32,48,28)*-
c(32,32,28)s(48,32,20)*s(32,32,12)-s(32,24,28)+s(32,40,28)*
t(24,24,20)s(24,16,20)+t(48,48,12)+t(32,40,12)+t(32,32,28)*
s(48,24,20)t(32,32,20)+s(8,40,12)s(32,40,12)+t(32,48,12)--
s(24,40,28)c(24,32,20)s(40,48,20)--c(32,40,20)*c(48,48,12)+
s(32,40,20)s(16,32,20)s(16,24,20)*t(24,40,28)t(24,48,28)*-+
s(40,40,28)c(32,24,20)t(32,32,28)s(40,24,28)t(32,40,20)+*-+
s(8,24,12)c(40,40,20)s(32,16,20)++s(16,32,20)*s(32,16,12)-
c(40,32,20)s(32,24,28)s(24,24,12)-*s(24,32,28)+t(32,24,12)-
c(32,32,28)s(32,16,12)s(16,32,20)c(48,24,12)++t(40,24,20)-*
s(48,40,12)s(48,16,20)+s(24,40,20)s(16,40,20)*t(40,32,20)-+
c(40,40,20)s(16,24,20)c(32,40,20)+t(40,48,12)-*c(40,24,20)*
s(48,32,12)s(32,32,20)c(40,40,12)++t(40,16,12)+c(32,16,12)+
s(32,48,20)t(40,48,12)-c(40,40,12)s(40,8,12)+s(32,32,28)*-
s(24,40,28)c(24,32,20)c(40,40,12)+*t(24,24,20)t(40,40,12)+*
s(40,32,28)s(16,8,12)s(16,32,12)s(40,32,20)+c(48,48,12)-+*
t(24,40,12)s(32,32,28)s(32,40,20)t(24,32,28)*-+s(24,24,20)*
t(32,48,28)t(32,48,20)s(40,16,20)+*c(24,40,20)c(24,24,20)*-
s(16,16,20)c(24,32,20)-s(40,24,20)+s(32,40,12)+c(40,16,12)-
s(32,48,20)s(40,24,28)t(24,48,20)t(40,24,20)+*+t(32,56,12)-
c(40,40,20)t(40,40,20)t(48,40,12)--s(24,48,20)+s(24,32,28)*
c(48,16,12)c(40,32,12)+t(24,24,20)s(24,8,12)++s(24,16,20)*
s(32,8,12)c(40,40,20)+c(24,32,20)s(48,24,20)--c(40,32,20)*
t(40,40,12)c(24,24,20)t(32,40,28)-s(24,24,20)*c(40,16,12)++
s(32,40,28)s(40,16,20)t(40,40,12)+s(24,24,28)-+t(32,40,28)-
s(32,24,20)s(32,24,20)s(24,32,28)s(32,32,28)s(24,24,12)-**-
t(24,56,12)s(40,48,20)t(32,40,28)t(24,48,20)*s(48,32,20)+*+
s(24,16,12)s(24,32,20)c(32,48,12)+s(24,16,20)-+c(24,24,20)-
s(40,40,28)s(32,16,20)c(40,24,20)*c(32,32,12)-+c(24,32,20)*
s(32,24,28)s(24,40,28)c(40,24,20)*t(24,32,20)+s(16,40,20)+*
s(40,32,20)s(24,24,28)s(24,32,28)c(32,24,20)-s(32,40,12)--*
t(40,40,12)s(48,16,20)c(16,48,12)++s(16,32,20)s(48,16,12)+-
s(40,24,28)c(32,32,20)c(40,32,20)*s(32,16,12)+*s(24,8,12)-
c(24,32,12)s(16,24,20)s(40,32,28)s(32,40,20)*-t(32,16,12)++
s(40,40,20)s(16,16,12)+s(24,16,12)-s(24,48,20)c(40,24,20)-+
s(32,24,28)s(48,16,12)t(32,32,28)s(24,24,20)*s(48,32,20)-+*
s(24,24,20)s(40,24,28)+t(24,32,28)*t(32,32,28)*c(48,40,12)+
t(32,32,28)c(40,40,20)*c(40,32,20)s(48,40,20)s(16,40,12)+**
t(40,40,20)t(24,32,20)t(48,32,12)+s(40,32,28)*+c(24,24,20)-
s(48,48,20)t(24,32,28)t(24,32,20)c(32,24,20)*--t(24,48,28)-
s(32,32,28)c(24,32,20)s(32,24,20)*-c(32,32,20)*s(40,48,12)-
c(40,40,20)s(32,24,20)c(40,32,20)+t(24,24,12)-*s(24,40,20)-
t(24,48,28)s(16,40,20)t(32,24,20)t(16,16,12)s(32,40,28)+*-*
c(48,40,12)s(32,24,28)t(24,40,28)*+t(16,40,12)t(48,40,12)+-
s(32,16,12)s(40,48,12)s(32,40,20)t(32,32,20)-+t(40,24,20)++
s(16,40,20)s(48,24,20)s(40,24,28)s(32,16,12)-s(32,40,28)*-+
t(24,56,12)s(32,32,28)s(24,16,20)*s(16,40,20)++s(16,24,20)*
s(24,40,28)t(32,24,20)c(40,48,12)+c(48,32,12)-t(32,48,20)+-
s(40,40,20)s(40,32,20)c(24,24,12)-s(32,32,20)s(48,40,20)--*
s(40,16,20)t(24,40,28)t(24,24,20)-t(32,32,20)-s(24,32,20)+-
c(24,40,20)c(32,32,28)t(32,32,28)-s(40,48,12)-s(40,32,20)--
c(24,24,20)c(16,32,12)-s(24,24,28)s(48,32,12)c(24,32,12)+*-
s(24,40,28)t(24,48,28)t(32,32,28)s(48,48,12)--s(40,16,12)+*
s(24,32,28)c(24,24,20)c(40,24,12)-c(16,24,12)--t(24,32,28)*
t(40,40,20)s(8,8,12)s(24,40,28)s(32,32,20)*s(48,32,20)-+-
c(24,40,20)t(24,24,20)c(48,32,12)+s(40,24,20)c(40,32,20)**+
t(32,40,20)t(40,40,12)+c(16,16,12)s(32,48,20)s(40,32,12)++*
t(24,24,12)s(40,24,12)+s(48,24,20)s(40,40,28)t(24,32,12)-*+
s(32,32,28)s(48,48,20)s(16,48,12)+s(32,16,12)s(48,40,20)+--
s(40,48,20)s(16,40,20)s(24,40,28)t(24,48,28)*++c(24,40,12)-
s(40,24,12)s(24,40,20)+s(24,32,28)t(24,40,12)-*t(40,32,20)-
c(24,24,20)s(24,32,28)s(48,8,12)+*t(24,16,12)s(24,48,12)++
c(32,32,12)t(40,40,20)+s(32,24,28)+s(40,40,28)s(24,24,12)-*
c(40,32,20)c(40,32,20)s(32,48,12)-s(40,40,20)+s(40,24,12)-*
s(16,32,20)s(32,40,28)+c(32,24,12)s(40,40,28)t(32,48,28)-+*
s(16,40,20)s(24,40,28)t(16,24,12)-*c(32,32,28)*s(32,40,12)-
s(24,24,12)s(48,48,20)+s(40,48,20)c(40,24,20)+t(16,32,12)+*
t(24,40,28)t(24,32,12)-c(24,32,12)-s(24,32,28)*s(40,48,12)+
s(32,40,12)t(24,24,20)+s(48,24,12)+c(24,32,20)*c(24,24,20)*
c(24,32,20)s(16,16,20)+c(40,40,20)t(40,48,20)-c(16,32,12)-+
s(24,24,28)s(32,24,12)-s(24,40,28)+s(40,32,20)*t(24,32,28)*
c(16,40,12)t(48,48,12)s(40,8,12)++c(16,40,12)-s(32,16,12)+
c(16,16,12)c(24,24,12)+t(24,24,12)s(48,8,12)s(32,48,20)++-
t(24,32,20)c(40,32,20)t(48,16,12)s(40,8,12)+t(32,40,20)+--
c(32,48,12)t(24,40,20)+t(40,24,12)s(16,40,20)t(24,16,12)++*
s(32,32,28)t(32,24,12)-s(40,24,28)*c(40,32,20)+s(24,32,20)-
c(40,40,20)s(48,32,20)-c(32,24,12)s(48,32,20)+s(48,16,20)*+
s(40,40,20)s(24,16,20)t(48,24,12)+t(24,24,20)++c(16,24,12)-
s(40,32,28)c(40,24,20)s(48,48,20)--c(40,32,20)+s(16,32,20)+
t(40,40,20)t(32,32,28)*t(32,32,20)+t(48,24,12)s(16,40,12)+-
s(24,40,20)s(24,16,12)s(48,16,12)+t(24,40,28)+*s(24,24,20)+
t(32,32,28)t(16,48,12)+c(24,24,20)+t(32,40,28)*s(32,16,20)+
s(40,40,12)c(32,16,12)t(48,24,12)++s(24,24,20)-s(32,48,12)-
t(32,40,12)s(16,16,12)t(32,32,20)+t(24,24,12)-+t(32,32,20)*
t(24,40,28)s(48,16,20)s(40,32,20)t(40,24,20)s(32,8,12)-*++
s(40,32,28)t(32,48,20)-c(48,48,12)-s(24,40,28)-s(48,24,20)*
t(48,56,12)c(24,32,20)t(16,24,12)t(40,24,20)+s(24,24,20)*-+
s(40,40,20)t(40,24,20)-c(40,32,20)c(40,24,20)s(24,32,20)*-+
c(40,40,20)s(40,24,20)s(40,32,12)s(24,24,12)+*s(48,32,12)+-
s(40,24,28)c(48,32,12)t(16,56,12)+s(8,32,12)+-c(32,24,20)*
c(32,24,20)t(24,40,20)t(40,48,20)c(24,32,20)s(32,32,20)*-++
t(32,32,12)s(24,24,20)s(40,24,28)c(24,24,20)*s(40,32,12)-*+
c(40,32,20)s(40,48,20)c(24,32,12)-+s(32,40,20)c(32,32,20)**
s(16,32,20)t(32,40,28)t(24,48,20)*-c(32,24,12)-t(24,40,20)-
s(32,24,28)s(40,32,20)s(24,40,20)-*t(24,24,20)+s(24,32,12)+
s(40,16,20)t(32,24,12)c(48,48,12)t(48,16,12)+s(40,48,12)++-
s(24,40,20)s(40,24,28)t(24,48,28)c(16,40,12)++t(24,40,20)--
t(24,48,28)t(32,40,20)-c(24,32,20)c(16,48,12)-+c(24,24,20)*
s(24,48,20)c(16,48,12)s(16,24,20)+*s(32,40,28)*s(40,8,12)+
s(48,16,12)s(8,40,12)+t(48,40,12)+s(32,32,20)+s(32,24,28)-
c(40,40,20)t(40,16,12)t(16,32,12)s(40,40,28)+s(40,24,20)*+*
t(32,48,12)s(24,16,20)t(24,32,28)s(48,48,20)+*t(48,16,12)++
c(24,24,20)s(32,40,28)-t(32,48,28)+c(24,24,20)-t(32,48,20)*
s(24,24,28)s(24,16,20)s(16,24,20)*t(40,16,12)+s(32,40,28)+-
s(24,40,20)t(24,16,12)s(40,40,28)+*t(16,40,12)s(48,32,20)++
c(40,24,20)s(24,32,28)s(40,40,20)+*t(24,24,20)-c(32,24,20)*
c(40,24,20)t(40,40,20)s(32,16,20)-s(40,24,28)t(24,48,28)-+*
s(40,32,20)c(32,32,20)*c(40,40,12)+s(24,48,12)+t(40,32,20)-
t(48,56,12)t(32,40,20)s(48,40,12)+s(32,48,12)++c(24,40,20)*
t(48,56,12)s(24,24,12)s(40,24,20)+c(40,40,20)s(24,32,12)+*+
c(40,24,20)s(48,40,20)s(24,32,28)--c(32,24,20)s(24,32,20)**
s(40,32,28)t(48,32,12)s(32,32,20)+c(24,40,20)*t(16,48,12)+*
s(40,24,28)s(24,32,12)-t(24,24,20)s(32,8,12)s(16,48,12)++*
s(40,24,28)c(40,32,20)-s(16,16,12)+c(24,48,12)+c(16,16,12)-
s(40,32,20)c(24,16,12)+s(24,24,28)s(8,16,12)-*s(24,32,20)*
s(48,48,20)t(40,32,20)-s(40,16,20)+s(40,48,12)s(24,40,20)+-
t(32,48,12)t(24,32,28)+s(40,40,28)+s(24,48,20)t(24,48,28)*-
s(24,24,20)t(24,48,12)s(40,40,20)+t(32,24,20)-t(24,16,12)+-
c(40,32,20)t(32,56,12)s(24,24,20)s(48,24,12)++c(32,24,20)*+
s(48,32,20)s(40,48,20)+c(40,40,20)*s(48,48,20)*t(32,56,12)-
s(32,32,20)s(32,24,20)t(32,40,28)-+s(24,32,28)c(48,32,12)+*
s(40,32,28)c(32,40,20)c(32,24,20)-t(16,40,12)--c(24,40,20)*
c(16,16,12)t(32,40,12)+s(32,24,28)t(32,32,28)+*t(32,48,12)-
t(24,48,20)t(32,48,20)+s(8,48,12)-c(24,32,20)+s(40,32,28)-
s(16,32,20)s(24,32,20)*t(24,48,12)+s(24,32,20)c(32,40,12)+*
s(24,32,20)s(16,24,20)c(32,32,28)*c(32,32,12)-t(32,48,12)+-
c(24,24,12)s(40,48,20)c(32,40,20)+s(48,24,20)s(16,32,12)+*+
s(24,40,28)c(24,40,20)s(32,24,28)*s(40,24,28)+t(24,32,12)--
s(40,24,28)s(32,32,20)*s(16,16,12)s(16,40,12)+-s(24,48,20)+
c(40,40,20)c(24,40,20)s(40,40,20)-t(24,56,12)s(32,24,28)++*
s(40,48,20)s(48,40,20)t(24,48,28)s(32,40,28)*-s(40,40,20)*-
t(48,16,12)s(40,32,20)c(24,32,20)*c(40,32,20)t(24,40,12)-*+
s(24,40,28)c(32,24,20)t(32,48,20)s(48,32,20)c(16,32,12)++**
s(16,32,20)t(40,48,20)s(40,40,28)s(16,16,20)s(32,24,28)+-*+
s(40,40,28)c(24,40,20)c(40,40,20)+s(32,48,20)*t(40,32,12)+-
t(32,16,12)s(48,48,20)t(40,48,20)t(32,32,12)+*+s(48,8,12)+
s(48,24,20)s(24,32,20)t(24,48,12)+s(16,48,20)*+c(32,24,12)-
c(24,40,20)c(24,32,20)t(40,32,20)-t(40,32,20)+*s(32,24,20)*
s(24,24,28)c(24,40,20)s(40,40,20)*t(32,24,12)--s(32,40,28)-
t(40,32,20)s(16,40,12)s(48,48,20)s(24,40,28)-+s(32,40,20)--
t(48,56,12)s(40,24,20)s(24,24,28)t(24,48,28)s(32,32,28)*+*+
s(16,48,20)t(24,40,12)-t(32,32,20)t(32,32,28)s(48,32,12)-*+
s(48,40,20)t(32,48,12)-c(24,32,20)+s(40,32,28)t(24,24,20)-*
s(48,24,20)t(24,40,28)s(32,40,28)t(24,32,28)**s(40,40,28)*+
s(40,16,20)t(24,40,20)c(48,40,12)+s(32,48,20)*+t(32,40,12)-
s(8,16,12)s(24,24,28)t(32,48,12)c(32,24,20)+*s(40,32,20)*+
t(32,48,12)t(40,56,12)s(32,24,12)++s(32,32,28)s(24,40,12)-+
s(32,48,20)s(40,40,20)s(24,32,20)t(24,40,28)*+c(24,24,20)--
s(40,24,28)s(32,40,12)-s(24,32,28)c(24,24,20)s(8,32,12)+**
t(32,48,12)c(24,32,20)s(8,8,12)t(24,40,28)+*t(24,48,20)-+
c(24,40,20)t(24,48,28)s(24,40,28)**c(32,24,12)s(16,48,20)++
s(40,32,20)s(32,40,12)-s(32,40,28)t(32,40,12)-*t(32,16,12)-
s(24,48,20)t(48,40,12)t(40,32,20)+s(24,16,20)--s(32,48,12)-
s(32,32,28)t(32,32,28)s(16,24,20)s(48,40,12)+t(24,32,28)*+*
s(40,24,28)s(48,24,20)s(40,48,20)-*s(32,8,12)c(40,32,12)+-
s(32,24,28)t(40,40,20)t(32,32,28)c(24,32,20)*+s(48,32,20)-*
t(32,32,28)s(32,40,28)+t(40,24,20)*s(8,24,12)+c(24,16,12)+
s(24,24,28)t(32,16,12)-s(40,32,28)s(24,32,28)**t(24,32,28)*
s(32,32,28)s(24,24,20)*t(48,56,12)s(32,40,20)+c(32,40,20)*+
t(40,32,20)s(24,32,12)-s(40,24,20)t(32,32,28)*s(40,40,28)*+
s(32,32,20)c(24,32,20)s(24,24,28)s(32,32,28)--t(32,40,28)**
t(32,40,12)c(16,16,12)+s(32,16,20)+c(40,32,20)c(24,32,12)+*
s(48,24,20)c(40,32,20)*s(24,24,28)s(32,24,12)-+s(16,32,20)+
t(24,32,28)s(16,24,12)-s(40,8,12)s(16,40,20)+c(24,40,12)--
s(40,24,20)s(48,32,20)s(24,24,12)t(40,40,20)+t(40,32,12)--*
c(32,40,20)s(24,32,28)c(32,24,20)s(40,16,12)-+*s(40,32,20)+
s(32,24,12)c(40,24,20)s(40,40,28)*+t(48,32,12)-s(24,24,28)*
c(24,32,20)s(8,40,12)-s(32,24,20)c(32,32,20)+s(40,40,20)**
c(16,24,12)s(32,24,20)t(48,40,12)c(24,40,20)+s(16,32,20)--+
s(40,8,12)s(32,32,28)c(16,16,12)-+t(24,32,28)s(40,32,20)*-
s(24,24,20)s(32,48,20)s(32,16,12)+s(48,24,20)c(48,32,12)-+*
c(24,24,20)c(24,32,20)*t(48,16,12)t(32,40,20)++t(16,40,12)-
t(48,16,12)t(24,48,20)c(32,32,28)s(16,32,20)*++s(40,24,28)+
s(24,40,28)s(40,32,28)c(40,24,12)-c(24,48,12)c(40,16,12)+--
s(32,40,28)s(48,48,20)c(48,48,12)--s(24,24,20)t(32,40,20)--
s(32,24,28)c(40,40,20)t(32,40,12)-s(32,32,28)s(24,48,12)-*-
s(16,8,12)c(32,40,12)c(24,16,12)+t(32,48,28)*+t(32,32,20)+
c(24,40,20)t(24,56,12)-c(48,40,12)+s(40,40,28)*c(48,48,12)+
s(40,32,20)t(32,32,28)t(32,40,12)-s(32,40,20)s(32,16,20)+*-
s(40,32,28)s(32,32,20)t(24,24,20)t(40,40,20)+s(16,16,20)---
t(24,48,20)s(8,16,12)+c(48,16,12)t(40,56,12)c(16,48,12)++-
s(24,24,20)t(40,40,20)t(24,32,28)s(32,40,28)*s(40,48,12)-+*
c(48,24,12)s(16,48,20)s(16,32,20)*+s(40,40,20)+s(16,32,20)-
s(32,32,20)c(48,32,12)+t(24,40,28)s(32,40,20)*+c(40,24,20)*
c(24,24,20)c(40,24,20)+s(48,24,20)*s(8,16,12)t(16,32,12)++
s(40,40,20)c(32,24,12)t(16,16,12)+-t(24,48,20)s(16,48,20)+-
s(24,24,28)t(32,16,12)t(32,40,28)+s(40,40,12)c(32,32,12)+--
t(32,32,28)c(32,32,28)t(24,48,20)-s(24,32,20)s(24,16,20)*--
t(40,32,12)s(16,24,20)+t(24,48,12)+c(40,24,20)s(40,16,12)--
t(16,40,12)c(40,24,20)s(32,16,20)*+s(24,40,12)-t(24,32,28)+
t(32,40,28)s(32,32,28)*c(40,32,20)c(48,32,12)-c(40,24,20)+*
s(24,40,20)s(24,40,28)t(32,40,28)**t(24,48,28)s(32,32,20)-+
s(24,40,20)s(32,32,28)t(32,40,28)c(16,32,12)-*t(32,32,28)*+
c(32,32,12)t(24,40,20)+t(24,40,12)-s(48,8,12)+t(24,32,12)-
s(32,48,20)c(32,40,20)s(32,16,20)-c(40,32,12)-t(32,32,20)--
s(24,40,28)c(24,32,12)c(40,24,20)++t(32,24,20)-s(16,24,20)-
c(48,24,12)s(24,48,20)s(16,40,20)*+t(24,32,28)+s(32,32,28)*
s(40,40,28)t(24,32,20)+c(40,48,12)-s(48,24,12)t(24,48,20)++
c(32,24,20)s(24,24,20)*c(24,32,20)s(40,32,28)*s(40,24,28)**
c(16,40,12)t(24,24,12)t(16,24,12)t(48,16,12)+++c(40,40,20)-
s(24,8,12)t(40,24,12)+s(40,32,12)s(16,24,20)c(32,32,28)*++
s(48,16,12)s(24,32,28)t(48,48,12)++c(24,16,12)-t(24,48,28)*
c(40,16,12)c(24,24,20)+s(48,48,20)t(32,40,28)s(24,32,20)*+*
t(48,16,12)s(24,16,20)c(40,32,20)-t(40,16,12)+c(24,40,20)-+
s(24,40,20)t(24,32,28)s(48,48,20)s(32,8,12)++*s(48,48,20)-
c(24,40,20)s(24,48,20)*s(48,40,20)s(32,40,28)c(32,32,20)---
s(48,32,12)c(24,40,20)t(24,32,28)t(32,24,12)-*+c(24,48,12)+
t(24,40,20)s(32,24,20)s(40,8,12)-+s(48,16,12)c(48,32,12)+-
s(40,40,28)s(32,24,28)s(40,16,12)s(40,32,20)+**t(24,16,12)+
s(40,24,28)s(32,32,28)s(16,40,20)+s(48,32,20)*t(48,56,12)++
s(32,40,28)s(40,40,28)c(40,32,20)*s(48,16,20)-c(32,24,20)+*
s(16,48,12)t(32,40,28)s(32,24,28)c(32,40,20)*-t(40,56,12)++
s(48,32,12)s(40,16,20)+t(16,24,12)+c(40,24,12)-s(32,16,20)*
s(40,24,28)s(48,40,20)s(40,48,20)t(24,48,12)-s(24,40,28)*+*
s(32,16,20)s(40,24,28)*t(24,24,20)c(24,40,20)t(32,40,28)+*-
t(24,48,28)c(40,32,20)c(48,40,12)s(32,32,20)+s(32,32,28)*+-
c(40,40,12)s(16,40,20)+s(32,48,20)t(24,48,20)t(32,48,28)*--
c(24,40,20)s(8,16,12)s(24,40,28)+s(16,16,20)*-c(40,32,20)+
t(24,32,28)s(40,24,28)s(24,8,12)-s(32,24,28)*s(32,48,20)-+
t(24,48,28)t(24,40,28)s(40,24,28)--s(32,40,12)+c(48,40,12)+
s(48,40,20)t(32,40,28)*s(40,40,20)s(48,32,20)-+t(32,40,20)*
s(24,40,28)t(40,40,12)-c(40,32,20)c(32,16,12)-c(40,40,12)--
c(32,40,20)t(24,32,28)c(32,32,28)s(40,24,28)*s(32,40,28)**-
s(24,24,28)t(32,24,20)-c(16,48,12)-t(32,24,12)+s(32,40,28)*
t(32,40,28)t(32,24,20)-c(24,32,20)t(32,40,28)*t(40,24,20)-*
c(32,24,20)c(24,24,12)-s(48,32,20)t(48,40,12)-c(40,32,12)+*
s(16,32,20)t(32,48,28)t(32,32,28)+c(32,24,12)-s(16,16,12)+*
s(40,8,12)t(16,56,12)+s(40,32,28)+c(24,40,12)s(48,32,20)+-
s(24,40,20)s(32,8,12)c(24,40,20)+s(32,40,28)-t(24,48,20)+*
s(48,24,20)s(40,16,20)s(32,32,12)s(48,40,12)+-*s(48,48,20)+
t(32,40,12)s(40,24,28)s(48,24,20)s(32,24,20)s(24,16,20)*-*+
t(24,32,28)c(32,32,12)-c(32,32,20)s(16,24,20)s(24,40,28)*+*
s(24,32,28)c(32,16,12)-s(32,32,20)+t(32,48,28)-s(32,24,20)*
s(24,40,28)t(40,48,12)c(32,32,20)s(16,24,20)-+-s(32,24,20)-
s(32,32,20)t(40,48,12)+t(40,48,20)-s(32,40,20)t(32,24,12)+*
s(40,40,28)s(32,32,20)*s(8,40,12)s(40,48,12)+-t(16,48,12)+
c(32,32,28)s(32,24,28)t(32,32,28)t(24,40,20)*c(32,48,12)+--
c(32,24,20)s(32,16,12)t(16,16,12)+s(32,16,12)s(48,24,20)+++
c(32,40,20)s(32,24,20)*c(24,24,20)s(32,32,28)*s(24,48,20)+*
c(24,16,12)s(16,24,20)s(16,32,20)c(32,40,20)+*+s(32,16,20)-
s(24,32,28)s(24,32,12)-c(24,40,20)t(24,32,12)-+s(32,32,28)*
t(24,32,28)c(40,24,20)c(24,16,12)-s(32,40,28)t(24,32,28)---
c(24,24,20)t(32,32,20)s(8,48,12)s(32,16,20)++t(32,48,28)-*
s(8,40,12)s(8,8,12)c(40,40,20)+s(32,48,20)s(16,40,20)-*+
t(24,32,28)s(24,16,20)s(40,24,28)s(16,40,12)++*t(24,48,20)-
c(24,32,12)s(32,40,12)c(40,32,20)s(32,24,28)*++c(32,16,12)+
c(32,40,20)s(48,32,20)s(40,40,20)*-s(40,40,20)t(24,32,20)+*
t(24,40,28)s(40,32,28)*s(40,40,12)s(24,8,12)+t(24,40,20)--
t(32,24,12)s(48,24,20)s(32,16,20)-+c(32,48,12)+s(32,48,20)+
c(32,32,20)s(48,32,12)t(32,16,12)+-s(40,8,12)+c(40,48,12)-
s(24,24,28)s(32,32,28)s(24,32,28)c(16,16,12)-s(32,24,20)*-*
s(24,24,20)s(24,40,20)-s(48,16,20)t(32,32,28)c(32,40,12)--+
s(40,16,20)t(24,16,12)s(40,48,20)+t(48,40,12)--s(24,24,20)-
s(40,40,28)s(8,48,12)s(40,16,20)++s(24,40,20)s(24,40,12)-*
s(40,24,20)c(40,32,12)s(24,48,20)+s(32,40,28)s(32,16,20)+*-
s(24,40,28)s(24,40,20)c(32,40,12)--s(40,24,28)s(24,16,20)*-
c(32,24,20)c(48,32,12)-t(40,24,20)c(16,40,12)+t(32,40,28)*-
t(24,32,12)s(40,48,20)t(16,56,12)t(24,48,12)+-s(24,40,28)*+
t(24,32,20)t(24,40,20)+t(16,48,12)-c(32,40,20)s(24,32,28)**
t(40,16,12)t(24,40,28)+t(16,48,12)-s(32,24,20)c(24,32,12)--
s(40,32,28)c(40,40,20)t(40,56,12)c(40,32,20)+**c(48,40,12)-
s(40,48,12)c(32,40,20)c(24,40,20)t(24,24,20)-*c(16,32,12)-+
t(40,32,12)t(32,40,20)t(40,24,20)-+s(16,32,20)s(32,32,28)*-
t(32,40,28)c(16,16,12)t(32,40,20)t(24,40,28)*+s(48,40,12)+*
s(40,40,20)s(32,32,28)s(16,16,20)c(16,40,12)+t(24,32,28)*-*
c(32,24,20)s(16,48,20)c(48,16,12)+c(32,32,28)-+s(16,24,12)-
s(32,24,28)t(32,40,20)t(32,24,20)+*s(24,24,20)t(48,40,12)+*
s(16,40,20)c(24,40,20)+c(40,24,20)-c(16,40,12)-s(32,24,28)-
c(48,48,12)t(48,32,12)+t(48,40,12)-s(48,32,12)+s(48,24,12)-
s(16,16,20)s(40,40,28)+t(40,24,20)c(48,16,12)+s(32,24,20)*-
s(16,24,20)s(24,40,20)c(40,40,20)t(32,48,20)*t(32,32,20)+*-
s(24,16,20)s(8,8,12)-t(32,24,20)+t(24,24,20)s(8,8,12)+-
s(24,32,28)s(40,32,28)s(40,24,28)*t(40,40,12)-t(32,40,28)-+
s(40,24,20)t(32,32,20)+c(32,48,12)+s(32,48,20)*c(32,32,12)-
c(40,24,12)s(24,32,28)c(24,16,12)-s(16,48,20)c(32,40,20)--+
s(24,48,20)s(24,24,20)s(32,32,28)s(48,24,20)+*c(16,24,12)--
c(24,40,20)t(24,24,12)-s(48,8,12)t(32,32,20)+-s(32,40,12)-
s(16,24,12)c(48,16,12)s(24,40,28)+t(40,32,20)*+s(16,16,20)-
s(32,40,28)s(48,32,20)c(24,40,12)c(32,32,12)+s(16,16,20)-+-
s(24,32,28)s(16,24,12)-s(16,32,12)+t(24,48,28)*s(32,40,20)*
s(40,40,28)t(32,24,20)+s(32,24,20)*s(40,24,20)*t(24,48,28)-
t(24,48,28)s(32,24,12)t(40,40,12)+t(32,40,28)*-s(32,40,20)-
s(24,40,20)s(8,16,12)t(32,56,12)++t(32,32,28)s(16,32,20)--
s(40,48,20)t(32,24,20)+s(48,32,20)+s(40,48,12)c(32,24,20)+*
c(32,48,12)s(24,40,20)+s(24,48,20)t(32,32,12)-t(48,16,12)+*
s(24,32,28)t(40,48,12)s(16,24,20)+s(40,24,28)-c(24,40,12)+-
s(24,32,28)s(32,24,20)s(24,16,20)**t(40,40,12)+s(48,40,20)+
t(24,40,28)s(24,24,12)t(32,24,20)+-t(48,56,12)s(32,24,12)++
t(24,40,20)s(48,24,12)t(32,40,28)+c(24,32,20)*+c(24,24,12)-
s(24,40,28)t(32,32,12)s(40,48,20)+t(24,40,12)+-s(32,24,20)-
c(32,24,20)s(48,24,20)*t(32,40,28)+t(40,48,20)c(32,24,12)+*
t(24,32,28)s(32,32,28)*c(24,32,20)c(40,24,20)--t(32,16,12)-
s(32,40,12)c(24,32,20)t(24,32,28)*t(40,40,12)-+t(24,24,20)*
t(32,40,20)s(32,24,20)s(32,40,20)c(40,32,20)+*+c(40,48,12)-
c(32,48,12)c(24,24,20)s(40,48,12)+s(48,32,20)+s(16,40,20)*+
t(24,56,12)s(24,40,20)c(32,40,20)t(24,40,28)**s(32,48,20)*+
s(16,40,20)s(32,32,20)s(32,40,12)-t(24,32,28)*+s(32,48,12)-
c(24,32,20)s(8,40,12)t(24,48,20)c(32,32,28)*+t(24,40,28)**
c(24,40,20)s(32,48,20)+s(48,32,20)-c(24,40,20)*s(32,48,20)*
c(16,24,12)s(16,48,12)c(32,16,12)+s(32,24,28)+c(40,32,20)*+
c(32,32,12)t(24,32,28)s(40,24,28)t(40,24,12)-c(40,16,12)-*+
s(48,48,20)t(40,48,20)+t(32,48,12)-s(40,48,20)+t(24,16,12)+
s(40,24,28)s(16,16,20)s(48,48,20)c(32,48,12)++*s(24,32,12)-
s(24,40,28)c(32,32,20)*s(32,32,28)t(40,32,12)-*c(24,48,12)-
t(40,40,20)c(24,40,20)s(32,32,28)c(24,24,12)-t(40,40,12)-+*
s(40,24,20)c(24,40,12)s(32,16,12)+-t(24,24,20)s(48,16,12)++
c(48,48,12)c(24,40,12)s(8,16,12)++s(32,40,20)-s(16,32,20)-
s(32,48,20)t(24,48,28)s(32,24,20)-*s(24,24,20)c(24,16,12)-+
s(48,24,20)c(32,32,20)s(32,40,20)*-t(32,40,20)+s(40,32,28)*
s(48,40,20)s(16,8,12)+s(16,32,12)s(48,40,20)+*t(32,40,20)+
s(8,16,12)s(32,32,12)+s(24,16,20)t(24,32,12)c(24,16,12)+--
s(40,32,28)t(24,40,12)-s(32,16,12)-t(24,32,28)+s(48,48,20)*
s(40,24,28)c(40,32,20)s(40,40,28)s(32,24,20)*-*s(8,8,12)+
t(48,40,12)s(40,16,20)s(32,24,12)-s(48,16,20)+s(40,24,12)-+
s(16,24,20)s(40,16,20)s(40,40,28)s(40,16,20)-+s(32,16,12)--
s(48,32,20)s(32,32,28)+s(24,16,12)-c(32,16,12)-s(40,24,20)*
c(32,32,20)c(40,24,12)-s(24,40,20)c(48,40,12)+s(24,24,28)**
s(40,40,28)t(32,48,20)-t(24,40,28)s(32,24,20)t(32,32,20)++*
s(48,40,20)s(24,40,12)c(48,32,12)t(24,56,12)++s(16,32,12)-+
s(32,40,28)s(16,48,12)t(24,32,28)+s(32,24,28)*s(24,16,20)*-
t(24,48,28)t(40,40,20)-s(40,24,20)+t(32,40,28)t(40,48,12)--
c(24,40,20)s(48,32,12)+s(24,40,28)+c(40,16,12)+c(32,32,12)-
c(40,32,20)s(40,48,20)*c(24,40,20)+s(24,32,28)+t(32,24,20)*
s(24,40,28)t(32,48,28)-c(48,32,12)c(24,32,20)t(32,48,12)-+*
c(40,32,20)s(24,24,12)+t(32,40,12)-s(24,24,28)*s(32,32,20)*
s(48,24,12)s(32,48,20)c(24,40,20)*t(16,24,12)++t(40,24,12)-
s(24,16,20)t(24,24,20)*c(40,24,12)+c(32,32,20)*t(48,40,12)+
s(40,16,12)s(40,40,20)t(48,40,12)-s(40,48,20)*s(48,32,20)++
t(32,40,20)t(32,40,12)t(16,48,12)++c(24,32,20)*c(40,48,12)-
s(24,16,20)t(32,48,20)+c(32,32,28)*s(8,32,12)t(32,56,12)+-
c(24,40,12)s(8,32,12)+t(48,16,12)t(24,48,20)+s(8,40,12)+*
c(48,48,12)t(24,48,28)t(32,48,28)s(24,16,20)+*+t(16,56,12)-
t(24,48,20)t(32,48,12)-t(40,24,20)s(40,16,20)*t(16,16,12)++
c(32,32,20)c(24,40,12)c(24,24,20)+s(40,40,28)*s(8,16,12)+*
t(32,32,28)s(48,24,20)-c(24,40,20)s(32,32,28)s(32,40,28)***
s(24,32,28)s(16,8,12)t(16,40,12)++s(40,40,20)-s(40,24,28)*
s(32,40,20)s(24,40,28)t(40,32,20)-*c(24,16,12)+c(32,40,20)*
s(32,32,28)s(32,24,20)s(24,32,12)--s(16,24,20)-c(40,48,12)-
s(24,24,28)c(24,40,20)s(8,40,12)c(24,24,12)+*c(48,40,12)+*
s(40,32,28)c(40,24,20)+t(24,32,28)s(16,24,20)s(24,24,20)**-
s(16,32,12)c(32,48,12)+s(40,40,28)+c(40,48,12)-t(32,32,20)*
c(32,32,20)s(32,24,28)*s(40,32,20)t(40,24,20)s(40,48,12)+**
c(24,32,20)s(32,48,20)+s(24,48,20)c(24,24,20)t(32,32,28)*--
s(24,8,12)s(16,40,12)+s(16,40,20)s(40,32,28)c(48,32,12)-++
s(32,32,28)s(32,24,28)c(16,16,12)-t(24,32,20)*-t(24,48,28)-
s(24,32,20)c(24,40,20)*c(24,40,20)s(32,32,20)*+c(40,48,12)+
c(40,24,20)s(24,32,20)t(32,40,20)s(16,16,12)+*+c(40,40,12)-
t(40,24,20)t(16,48,12)+s(48,32,20)-s(32,48,12)+s(40,32,28)*
c(40,32,20)t(40,48,20)-c(32,24,12)-s(32,48,20)s(40,48,20)*-
s(24,32,28)c(24,16,12)t(32,16,12)+-t(40,24,20)-s(16,16,12)+
c(24,32,12)s(32,24,20)s(40,40,20)t(48,24,12)--c(48,24,12)++
s(16,40,20)t(32,48,28)-s(48,40,20)+c(32,40,20)s(24,32,28)**
c(48,24,12)s(24,48,20)+s(40,32,28)t(16,56,12)+*s(24,48,20)*
t(40,48,20)c(40,24,20)s(32,24,20)*+s(40,24,20)-c(48,48,12)+
s(32,32,28)t(24,40,12)s(48,24,20)+c(24,40,20)s(40,24,28)*+-
c(24,40,20)t(32,48,28)c(32,32,28)t(40,56,12)s(24,32,28)+***
s(24,40,28)s(48,24,20)c(24,24,20)-c(32,40,20)+t(32,32,20)--
s(24,8,12)t(40,48,20)c(48,32,12)++c(32,40,12)-s(32,40,28)*
c(40,32,20)t(32,32,20)t(32,48,12)+c(48,48,12)-*s(16,48,20)-
c(24,40,12)s(40,40,28)t(32,40,20)c(48,48,12)--s(40,24,28)*+
t(40,24,20)s(16,24,20)+s(32,16,12)c(24,32,20)s(8,32,12)-+-
t(32,32,28)s(40,32,28)t(16,24,12)+t(32,32,12)-c(40,32,12)-*
t(32,40,20)s(32,24,20)c(16,32,12)t(32,32,28)+*+s(24,24,20)-
c(24,40,20)t(24,48,28)*c(40,48,12)c(16,40,12)s(16,48,12)++*
s(40,40,20)c(32,48,12)c(32,24,20)+*s(40,16,20)c(24,24,20)*-
s(48,48,20)c(40,40,20)c(24,32,20)s(16,40,20)*-c(32,24,12)-*
s(24,48,20)s(32,32,28)s(8,8,12)+*s(40,24,20)-c(32,24,20)+
c(40,40,20)c(32,32,28)s(24,40,28)*s(40,40,20)s(24,8,12)+*-
c(24,40,20)s(16,24,12)+t(40,32,20)+c(32,32,20)*t(32,48,28)-
s(40,8,12)s(32,40,12)+c(48,16,12)-s(40,32,20)c(48,16,12)-+
s(32,32,20)s(24,48,20)t(24,32,12)t(32,48,28)+s(16,32,20)-*-
c(40,32,20)s(16,32,20)-s(40,24,20)s(24,24,28)c(16,40,12)-*+
s(40,40,20)s(24,40,28)t(40,32,20)t(24,40,20)--s(32,40,28)*-
s(8,48,12)s(40,40,28)s(40,40,12)-+s(24,32,20)s(48,32,20)--
c(16,24,12)s(48,16,20)s(32,24,12)-+t(24,24,12)-s(48,40,20)+
c(32,40,20)c(16,16,12)+t(32,24,12)-s(24,40,20)-c(40,48,12)-
s(48,32,20)t(24,48,28)t(24,32,28)-c(24,40,12)-t(40,32,20)++
s(40,24,28)s(40,40,20)c(48,40,12)-t(40,32,12)-t(24,32,20)+*
s(8,24,12)s(48,32,20)+t(24,48,12)+s(48,16,20)*t(40,48,20)+
t(24,40,20)s(16,40,20)s(8,32,12)-c(24,40,20)**t(32,32,20)+
s(24,16,20)s(48,16,20)t(40,16,12)-+s(40,32,12)c(24,24,20)+*
c(48,24,12)t(40,16,12)+c(40,32,20)c(48,16,12)-t(40,40,20)*-
s(48,40,20)t(24,32,28)t(48,32,12)s(40,48,12)++t(32,40,28)--
c(24,40,20)s(24,8,12)c(24,40,20)c(32,32,20)*t(24,40,28)*+-
t(32,40,28)c(40,24,20)c(48,40,12)+s(16,16,12)+*s(48,32,12)-
c(24,32,20)s(24,32,12)-s(16,24,12)+c(48,24,12)s(24,16,20)+*
c(40,32,20)t(32,32,28)c(24,32,20)*t(24,32,12)-s(8,32,12)++
s(40,32,28)s(24,24,20)-s(48,8,12)+s(24,40,28)c(40,24,12)-+
s(32,40,28)c(40,40,20)c(32,32,20)++s(24,32,20)t(32,24,12)-*
t(32,40,28)c(40,40,20)c(24,40,20)t(40,48,12)-c(32,40,20)**-
c(32,32,28)c(48,40,12)s(40,8,12)+s(48,48,20)+*s(24,48,20)+
t(16,40,12)c(40,24,20)c(40,16,12)-+s(40,32,20)t(16,40,12)+*
s(32,24,28)s(40,40,20)t(32,48,28)c(32,32,12)-+s(32,32,28)**
t(48,48,12)s(48,16,12)s(24,32,12)++c(40,32,20)c(32,48,12)+*
s(32,40,28)s(24,40,20)t(24,24,12)-*s(48,24,20)+s(32,24,28)-
s(32,40,20)s(16,48,12)s(40,32,20)+*s(48,40,20)+s(40,24,20)*
c(40,32,12)s(40,32,28)c(24,32,20)s(40,16,20)t(40,40,20)+*-+
s(40,24,12)s(32,40,28)c(24,40,20)*+t(40,48,12)-t(40,24,20)-
s(16,40,20)s(32,24,28)c(16,16,12)t(24,24,12)+-+s(32,16,12)-
s(16,32,20)c(32,40,20)s(32,32,20)+c(24,32,20)*-s(48,24,20)+
s(32,32,20)t(32,32,28)c(48,40,12)-c(32,32,20)**t(24,40,28)*
s(16,32,20)s(48,48,20)+s(48,40,12)-s(24,24,20)c(24,32,20)**
s(24,32,28)c(48,48,12)+s(24,48,12)-s(32,16,20)*t(24,40,20)-
c(32,40,20)s(48,32,20)-t(24,48,20)t(32,48,12)-s(40,16,20)++
t(32,56,12)c(40,40,12)t(40,24,20)+c(24,24,12)-+t(40,32,20)*
s(24,40,12)c(24,48,12)+s(16,24,20)-s(32,24,28)+s(24,16,12)-
s(32,8,12)t(32,32,20)c(40,24,12)+t(40,24,20)*+t(32,24,20)*
c(32,32,28)c(32,40,20)s(40,16,20)-s(32,16,12)+t(24,32,28)*-
c(24,32,20)s(40,40,28)c(24,16,12)s(48,40,20)+*-c(32,16,12)-
t(24,32,20)s(40,16,12)s(32,48,20)+s(32,32,20)*+c(48,48,12)+
t(24,32,28)c(24,24,20)*t(16,24,12)-t(40,40,20)+t(32,40,12)-
c(40,40,12)s(48,24,12)+t(40,32,20)s(32,16,12)-s(48,40,20)+*
c(40,24,20)s(48,40,20)s(40,40,20)s(32,16,12)+*+c(48,16,12)-
c(32,16,12)c(40,40,12)+s(24,32,28)s(32,48,20)*s(40,32,28)*+
t(32,40,28)s(16,32,12)+s(48,16,12)t(40,56,12)+c(24,40,20)-+
c(40,40,12)s(32,24,20)s(48,24,20)*+t(40,40,12)t(32,48,12)+-
s(32,24,20)s(24,48,20)+s(40,32,28)t(32,24,12)-+s(24,16,20)*
s(32,48,20)s(24,40,20)s(32,40,20)c(32,40,12)--s(24,32,20)*-
s(16,8,12)c(32,16,12)+s(16,16,20)s(24,16,12)-c(40,32,20)+*
c(40,40,20)s(32,40,28)*c(40,32,20)s(16,40,12)++s(48,16,20)*
t(40,24,20)t(32,40,28)c(24,32,12)++t(40,40,20)-c(24,32,20)*
t(32,32,20)s(40,32,28)s(16,16,20)-s(24,48,12)+*s(48,48,12)+
c(24,32,20)c(24,40,20)c(16,40,12)-t(32,48,28)*-s(32,32,28)*
c(48,16,12)c(32,32,28)s(40,16,20)*+t(16,56,12)s(48,8,12)++
s(16,24,20)s(40,16,12)+t(32,32,28)+s(32,32,28)*s(16,48,20)+
s(32,40,28)s(32,48,20)t(24,32,28)s(24,40,12)--s(24,48,12)--
s(40,48,20)c(24,32,20)c(24,32,12)-c(40,48,12)-s(16,24,20)+-
c(32,32,28)c(32,48,12)s(48,32,20)+s(24,48,12)--s(16,48,20)*
c(40,48,12)s(24,32,28)c(16,32,12)-+s(48,48,20)*s(8,40,12)+
s(32,16,20)c(32,24,20)t(24,24,20)s(40,24,28)+s(16,32,20)-*+
s(32,40,28)s(16,48,20)+c(32,32,20)*c(32,32,28)c(24,32,20)--
s(32,40,28)s(40,32,12)s(40,16,12)t(16,56,12)+s(24,8,12)++*
t(48,16,12)s(32,16,20)s(40,32,12)-c(32,40,12)c(24,24,12)+-+
s(48,32,20)t(24,16,12)+t(32,40,28)-c(24,24,20)c(40,24,20)+*
c(48,48,12)s(24,24,20)+s(8,40,12)t(24,24,20)+s(24,40,20)--
c(32,32,20)t(24,24,20)*s(32,40,20)+s(16,32,12)t(32,40,28)+*
s(32,24,28)t(24,16,12)s(16,48,12)+s(24,32,28)*-s(40,32,20)*
c(40,48,12)t(16,48,12)+s(8,40,12)t(24,40,28)c(24,40,20)*++
s(24,40,28)c(32,40,20)*t(24,32,20)-s(24,24,28)s(32,40,28)*-
t(40,40,20)c(32,24,20)s(48,40,20)c(24,48,12)t(32,16,12)++*+
t(32,48,20)t(40,56,12)s(48,32,20)s(40,40,28)*t(40,32,12)-++
s(32,48,20)s(32,24,28)c(40,32,20)*c(32,32,28)s(16,48,20)-*-
c(24,32,20)s(48,32,12)s(16,32,20)+c(24,24,20)--c(40,24,20)-
s(48,40,20)s(40,32,28)s(40,32,12)t(24,48,12)+-*s(40,24,12)+
s(48,24,20)s(8,32,12)s(8,40,12)++c(24,24,20)*t(24,24,12)+
c(40,32,20)s(40,40,12)-s(32,16,12)t(32,48,28)+t(32,40,28)+-
c(24,32,20)s(48,40,20)-c(16,16,12)-s(32,48,20)t(40,40,20)+-
s(40,24,20)s(40,40,28)*c(40,32,20)t(32,48,28)t(32,24,20)--*
s(24,48,20)t(32,40,12)-c(24,40,20)+t(32,48,12)-c(24,32,20)*
c(32,32,28)s(16,24,20)s(24,16,12)s(24,32,12)+-s(48,48,12)+*
s(48,40,12)s(48,32,20)c(32,40,20)s(16,32,12)-s(16,32,20)-*+
t(32,32,28)s(8,16,12)t(24,40,12)++s(16,32,20)*s(24,32,20)*
c(24,32,20)s(8,40,12)c(40,24,20)++s(24,24,12)-c(32,40,20)*
t(48,40,12)s(16,32,20)+t(24,40,12)s(32,24,20)s(32,40,28)*+*
s(32,24,12)s(24,40,20)+s(40,24,20)-s(40,32,20)-s(24,40,12)+
s(40,32,28)t(32,24,12)-c(24,32,20)s(24,40,28)*c(40,24,20)*+
t(16,56,12)s(48,32,12)t(32,40,20)++s(24,16,20)s(40,48,20)+*
s(24,24,28)c(24,24,20)s(40,16,20)*t(32,40,20)s(24,32,12)-++
s(32,40,28)s(48,16,12)+c(40,16,12)-t(32,48,12)-s(48,48,12)-
t(24,40,28)s(24,32,28)s(24,40,20)t(16,16,12)+t(32,40,12)-*-
s(32,40,20)c(40,40,20)*t(24,16,12)+s(16,16,12)+c(24,48,12)-
s(24,24,28)s(16,16,20)+s(40,32,28)s(16,40,20)s(24,16,12)+*-
s(32,16,20)t(24,32,28)+s(24,16,20)s(16,16,12)-s(40,32,12)--
c(32,40,20)s(32,32,20)c(32,16,12)-s(24,24,20)c(16,40,12)---
s(32,24,20)s(32,40,20)c(24,40,20)t(32,32,28)s(24,24,20)*---
s(32,16,20)t(32,16,12)t(24,40,28)t(24,48,28)*+s(24,24,28)*+
s(40,48,20)c(16,32,12)+s(16,40,20)-s(24,32,12)+t(32,40,20)+
s(40,32,28)c(40,32,20)s(24,32,28)*t(32,48,12)-c(32,40,20)*-
s(40,32,28)s(48,24,20)-s(32,24,20)s(8,32,12)s(24,16,12)+-+
c(24,40,20)s(32,24,28)*s(40,24,28)s(40,24,20)-s(32,40,12)--
c(16,24,12)s(48,24,20)+t(32,32,20)-c(48,40,12)+c(16,16,12)-
s(32,40,28)s(40,32,28)s(40,40,12)-t(32,48,20)c(32,24,20)+*-
c(40,48,12)s(40,8,12)+t(40,24,20)t(40,32,12)+t(32,56,12)+-
s(40,24,28)t(24,40,28)t(32,48,20)*c(40,40,20)s(24,32,28)*+*
s(40,32,28)c(32,32,20)s(16,40,20)c(24,40,20)**-c(32,32,12)-
s(24,40,28)c(24,24,20)s(40,24,20)-s(24,40,12)+-t(24,48,28)-
s(32,24,20)t(16,32,12)s(32,16,20)+t(24,48,28)-*c(24,16,12)+
s(40,16,12)t(32,16,12)c(48,32,12)+t(48,16,12)c(24,24,12)+-+
s(32,40,28)c(32,32,20)s(16,40,20)-*s(32,32,20)s(48,48,20)+*
c(24,24,20)s(32,24,28)c(24,32,12)-t(32,32,20)-+s(16,16,12)-
t(24,48,28)c(24,24,12)+s(32,40,20)+s(32,24,12)-s(24,40,12)-
s(40,32,20)c(40,32,20)s(48,48,20)-*s(32,32,28)t(40,24,20)--
t(24,16,12)t(24,40,28)t(16,40,12)-t(40,40,20)s(32,32,12)+*+
s(32,32,28)c(40,32,20)*s(32,40,28)*t(40,32,20)t(40,40,12)+*
t(32,56,12)c(48,40,12)+s(8,32,12)+s(48,32,20)s(40,40,20)*+
s(16,32,20)c(32,40,20)s(32,16,20)s(40,32,28)*s(24,8,12)---
s(32,24,12)s(40,40,20)+s(32,32,20)*s(32,16,20)+s(24,16,20)*
t(40,32,20)s(24,24,20)c(32,40,20)c(16,48,12)-c(24,24,12)+*+
t(32,48,20)c(40,40,20)s(32,48,20)c(32,32,12)+s(48,24,20)-**
t(32,56,12)s(40,16,20)s(32,32,12)-s(24,40,28)-+s(24,48,20)-
s(40,32,28)s(24,48,20)t(40,32,20)++s(24,40,28)t(32,32,20)-*
s(24,40,28)c(32,40,20)t(32,32,20)-s(16,16,20)s(40,40,28)+**
t(40,32,20)s(24,40,12)+t(24,24,12)+c(24,24,20)c(40,16,12)-+
c(40,32,20)s(24,32,28)c(24,48,12)t(24,56,12)+t(32,40,12)+-*
s(40,40,28)t(32,48,28)s(48,24,20)t(24,48,28)+**s(16,24,12)+
c(32,32,20)s(40,32,28)s(32,40,20)t(24,40,28)*t(24,56,12)+*-
s(32,32,28)t(16,40,12)-s(40,24,28)*s(24,24,20)t(40,24,20)--
c(32,32,20)t(32,32,28)*c(16,24,12)+c(40,24,12)-c(16,32,12)-
s(32,32,20)s(48,48,20)-s(40,24,20)t(24,48,20)c(24,24,20)-++
s(32,24,28)s(24,24,20)c(24,40,12)+t(40,56,12)+*s(8,32,12)+
s(40,32,28)s(40,40,12)-c(40,32,12)+s(40,24,28)t(48,16,12)-*
t(32,40,28)s(16,24,20)c(16,16,12)s(48,16,20)+s(32,8,12)+-+
t(24,32,28)c(40,16,12)+s(16,32,20)t(32,32,20)-*s(16,24,20)+
c(40,24,20)c(32,24,20)+s(24,32,20)t(24,32,28)t(32,24,20)-*-
s(24,40,28)s(32,24,20)*s(32,48,20)+c(40,24,20)*c(24,32,20)*
s(32,40,28)t(32,48,28)t(32,32,20)-+s(32,32,28)-s(24,16,20)+
s(48,24,12)s(24,40,20)t(40,48,12)c(16,24,12)++t(40,40,20)++
s(32,48,20)s(40,40,28)*t(40,24,20)+s(40,40,20)+s(48,40,20)-
c(32,32,20)s(32,32,28)t(32,32,28)s(32,24,28)+*c(48,32,12)-*
c(24,32,20)t(48,48,12)s(24,40,28)c(24,24,20)*+s(40,32,20)*-
s(24,24,20)s(16,48,12)c(32,24,12)+c(32,24,20)c(48,32,12)+*-
t(24,40,28)s(40,48,20)s(48,32,12)-s(24,40,12)+s(32,32,28)*-
s(24,8,12)t(40,40,20)+s(32,16,12)+c(40,16,12)c(32,48,12)+*
s(16,16,20)s(40,40,20)+s(40,24,12)t(24,40,28)+c(40,40,12)+*
t(16,56,12)s(40,24,20)+s(40,24,28)*c(32,40,20)s(40,32,28)*-
s(24,40,20)c(40,32,20)*t(16,32,12)s(48,40,20)++t(24,32,12)-
t(24,40,28)c(32,24,12)c(48,32,12)+-c(32,40,12)-s(40,40,28)+
t(40,40,20)c(16,24,12)+s(32,40,28)t(32,24,20)c(40,48,12)+*+
t(24,16,12)t(32,48,20)t(24,32,20)+c(24,48,12)s(40,24,20)+-+
s(32,40,20)c(16,16,12)+t(32,48,28)-s(16,16,12)s(48,32,12)+*
s(32,16,20)s(32,16,12)-s(48,16,20)+s(32,40,28)c(24,40,20)*-
c(40,40,20)s(24,24,28)c(32,24,20)-s(32,32,20)c(32,24,20)*+-
s(32,16,20)s(24,32,20)c(24,40,20)s(32,32,28)c(40,32,20)--*+
t(24,32,28)t(32,40,28)s(32,24,20)-t(40,48,12)--s(32,16,20)-
c(24,24,20)c(40,40,20)s(32,32,28)*s(40,32,28)c(32,40,12)-++
t(32,32,28)t(24,40,28)s(32,32,12)s(16,32,12)+*t(16,48,12)+*
t(24,40,28)s(24,40,28)s(16,48,12)-s(32,16,20)-t(24,48,28)+*
c(24,32,12)s(16,16,20)+t(32,48,28)-s(24,24,20)+s(32,40,20)+
s(48,48,12)s(24,24,20)c(40,24,20)*c(32,32,20)*+c(16,24,12)-
t(24,40,28)t(24,32,28)t(40,32,12)-c(40,24,12)++t(40,40,20)*
s(16,48,12)c(32,32,28)s(40,16,20)c(40,40,20)+*+s(40,32,20)-
s(48,32,20)s(32,40,20)c(16,40,12)-t(24,40,20)--c(32,32,28)*
s(24,32,20)c(16,16,12)t(24,40,20)+c(32,24,20)s(40,48,12)+--
s(16,48,20)c(24,40,20)c(24,32,20)s(40,24,20)-+s(48,32,12)+*
s(32,24,20)s(24,24,28)s(16,16,20)s(24,40,20)+s(32,24,20)*--
s(40,32,28)s(48,48,20)-c(24,40,12)c(24,16,12)+c(16,48,12)+*
c(24,24,20)s(40,48,20)s(40,32,20)*s(32,16,12)+c(24,48,12)--
c(32,24,20)c(40,32,20)s(24,40,20)t(24,24,12)-t(32,40,28)+**
s(24,24,28)s(24,24,20)s(16,48,12)+t(32,24,20)--t(32,24,12)-
t(32,48,28)t(32,40,28)*s(40,40,12)s(48,8,12)+c(48,24,12)--
t(24,40,28)s(24,16,20)s(16,24,20)-s(24,24,28)t(24,40,28)*+-
s(32,32,28)s(48,32,12)s(48,16,12)s(32,8,12)c(16,24,12)+++-
c(40,24,12)s(24,40,20)s(8,16,12)s(32,40,20)+s(32,40,28)**+
s(24,40,20)s(32,24,28)s(40,40,20)s(16,40,12)+c(40,24,12)+**
s(48,40,20)c(32,32,12)-s(32,40,20)s(24,24,12)+s(24,32,28)*-
c(32,40,20)c(32,16,12)t(32,32,12)+t(40,40,20)+c(40,32,20)*-
t(32,40,28)s(32,48,20)s(16,32,20)c(40,40,20)-t(24,32,28)+--
s(8,16,12)t(32,56,12)c(32,24,20)+t(32,32,20)-s(24,16,20)++
c(32,32,28)s(48,32,20)t(48,40,12)-c(40,24,20)*-c(48,48,12)-
s(40,32,20)t(24,24,12)+s(32,16,12)+s(32,24,12)s(24,16,12)+*
t(32,24,20)t(32,32,28)s(24,32,20)*+s(32,16,20)s(24,24,28)*+
s(32,40,20)c(40,24,20)s(32,16,20)+t(32,56,12)t(24,32,12)++*
s(40,48,20)t(32,32,28)+s(32,32,28)s(48,48,20)-c(32,32,12)-*
s(40,24,20)s(32,24,20)s(16,40,20)c(24,24,20)-c(40,32,20)+**
c(40,24,12)c(40,32,12)+c(40,40,20)*c(24,40,20)t(24,40,28)++
s(40,8,12)c(24,40,20)s(16,32,12)-+t(24,40,28)t(32,40,28)*+
s(32,48,20)s(40,16,12)s(16,48,20)+c(32,32,28)*-t(24,24,20)+
c(40,32,12)t(24,56,12)t(24,48,12)s(24,16,20)++c(32,24,12)-+
t(16,56,12)t(16,40,12)t(48,16,12)++t(32,16,12)+s(24,32,28)*
s(32,32,28)s(32,48,20)t(16,48,12)+c(32,40,20)+*s(24,24,20)-
s(16,24,12)s(32,16,20)+t(48,48,12)+c(48,16,12)+s(24,40,20)-
c(24,32,20)t(24,40,28)*s(40,24,28)*s(48,16,20)+s(40,16,20)*
s(24,16,20)s(32,24,20)s(32,32,20)*c(24,24,12)s(40,48,20)+*-
c(24,32,20)s(24,24,28)*c(48,24,12)t(24,40,20)+s(40,32,28)*-
t(24,48,28)t(32,40,20)-s(40,24,12)+c(24,32,20)+t(32,32,28)*
t(40,40,20)s(8,32,12)s(40,40,28)c(24,40,20)*++s(8,48,12)+
s(40,48,20)s(32,48,20)c(40,24,20)c(32,40,20)*-*c(24,32,20)+
c(24,40,20)t(32,16,12)t(32,48,20)c(16,40,12)-+s(24,16,12)+*
t(32,32,20)c(24,32,20)t(24,40,20)-c(24,24,20)s(16,40,20)*-+
t(24,48,20)c(48,32,12)+s(32,40,12)s(32,16,12)+t(32,32,28)*-
c(24,24,20)s(40,24,28)t(40,40,20)--c(32,32,20)s(48,32,20)*-
c(24,40,20)t(24,40,20)s(48,40,20)-c(32,40,20)s(48,40,20)*+*
t(24,40,12)s(32,16,20)s(8,16,12)+s(40,16,20)s(16,24,20)-*+
s(24,40,20)t(24,40,20)s(40,40,28)s(16,32,20)t(24,48,20)+*+*
c(40,32,20)c(32,32,20)c(40,48,12)-*c(24,16,12)t(16,32,12)++
s(48,32,20)c(40,16,12)-t(48,40,12)t(40,24,20)t(40,40,20)-+-
s(32,48,20)s(40,32,12)+t(32,40,28)*s(24,32,28)s(48,8,12)+*
s(32,40,20)s(40,24,28)*t(24,40,20)c(16,32,12)++c(16,24,12)-
s(40,40,28)c(32,32,20)t(16,48,12)+*s(16,32,12)t(32,40,12)+-
s(40,16,20)s(32,40,28)s(40,32,20)+s(24,32,20)s(32,24,20)*--
s(32,48,20)t(32,32,28)+c(32,32,20)*s(32,24,20)c(32,32,20)*-
c(16,24,12)t(40,48,20)s(40,40,20)++t(32,32,20)-s(24,24,20)-
s(48,48,20)s(48,16,20)c(32,32,20)s(32,40,20)t(24,32,28)+*+-
s(8,32,12)t(24,40,28)s(32,32,28)*c(24,32,12)-+c(16,24,12)-
s(24,24,20)s(32,40,12)s(24,32,28)s(32,24,28)*c(32,48,12)-+*
t(32,56,12)c(24,32,12)s(48,40,12)+t(24,32,28)*+t(24,56,12)-
t(16,56,12)t(32,48,20)+s(32,32,28)t(24,48,20)-t(40,48,20)-+
s(16,16,20)c(32,24,20)+s(32,32,20)c(24,40,12)+*t(24,40,20)-
c(16,48,12)s(24,24,28)s(48,32,12)s(32,32,20)s(32,48,20)-+-+
s(24,24,20)c(32,40,20)-t(24,40,20)+t(32,40,28)*c(48,32,12)+
c(48,48,12)t(24,48,20)s(16,48,12)++t(32,40,28)c(40,24,20)+*
s(48,16,20)s(40,32,28)s(32,24,12)-s(24,48,12)--s(8,40,12)+
c(40,32,20)t(16,32,12)+c(24,32,20)*s(32,16,20)+s(48,40,20)+
c(32,40,20)c(40,40,20)c(32,24,20)s(32,24,12)-s(32,16,20)+**
s(32,16,20)c(16,32,12)+t(24,48,28)-t(40,32,12)+t(24,32,12)+
s(40,48,20)c(40,40,20)*c(24,24,20)s(40,48,12)+*t(16,40,12)+
s(16,24,20)c(48,24,12)s(24,16,20)+*c(16,16,12)s(40,40,28)+*
s(40,40,12)s(48,48,12)+s(24,32,28)s(24,16,20)*t(24,40,20)-+
s(24,48,20)s(24,32,20)-c(24,24,20)s(8,16,12)-+t(24,48,20)*
c(32,32,28)s(32,24,28)t(24,32,12)--s(24,32,28)+s(40,40,20)*
s(32,16,20)t(24,48,12)+s(32,32,12)c(16,40,12)+t(32,16,12)+*
t(24,40,28)t(32,40,20)t(24,32,28)*-s(16,24,20)+s(24,16,20)-
s(24,48,20)s(24,32,28)s(48,48,12)s(16,24,20)s(16,16,20)++*-
s(24,40,28)s(40,40,28)c(32,40,20)s(16,32,12)-s(16,40,20)+**
t(32,40,28)c(24,32,12)s(48,48,12)s(32,16,20)+s(48,40,20)+++
c(24,24,20)c(24,32,12)s(48,32,12)+t(32,40,28)s(32,40,12)-+-
s(24,48,20)s(8,48,12)+c(40,24,12)+c(40,48,12)+s(32,24,12)-
s(24,32,20)c(40,40,20)s(48,40,20)*t(48,56,12)+s(32,40,20)*-
t(24,32,28)s(48,40,12)c(32,16,12)++s(16,32,20)t(40,32,12)+*
c(40,24,20)s(40,16,12)s(40,40,28)+*t(32,32,28)s(48,32,20)+*
t(32,48,12)s(40,24,28)t(24,32,28)s(16,40,20)t(24,40,28)*-*+
s(48,24,20)c(40,40,20)s(32,32,12)--t(40,48,20)+s(32,32,28)*
s(16,24,20)s(40,32,20)s(32,32,20)*+s(40,24,28)s(24,24,20)**
s(24,40,28)t(32,40,28)*s(16,32,20)s(32,32,28)s(48,16,12)-*+
s(32,48,20)s(48,32,20)t(40,32,20)s(32,24,28)c(24,24,20)*+*+
c(32,24,12)s(16,32,12)+t(24,40,20)+s(8,40,12)-s(32,16,20)-
s(24,48,20)s(24,32,12)+s(24,32,20)c(40,32,20)*-t(32,56,12)-
c(48,40,12)s(48,40,20)t(40,40,12)-c(32,32,28)*+c(24,40,12)+
t(32,40,28)t(32,56,12)+t(24,40,12)-c(24,40,20)c(40,32,12)-*
s(32,24,28)c(24,40,20)s(40,24,20)t(24,40,20)+t(32,40,20)--*
s(32,24,20)t(48,48,12)s(32,32,20)+c(24,48,12)s(24,32,20)+**
s(16,40,20)s(32,32,28)s(32,40,20)s(40,32,12)-c(40,32,20)+*-
s(40,24,28)s(24,32,28)*t(48,16,12)t(24,32,28)s(24,32,20)*+*
c(24,24,20)c(24,40,20)s(24,24,28)**s(32,32,20)s(48,40,12)-+
t(32,32,28)s(32,32,20)c(32,24,20)t(24,32,12)-**s(8,16,12)+
s(24,24,28)c(24,24,20)s(8,8,12)s(40,32,28)+*c(16,32,12)--
s(16,16,20)c(32,24,12)t(40,32,20)+t(32,40,28)t(32,48,20)*+-
c(40,24,20)s(32,16,20)t(16,16,12)-t(16,32,12)s(16,24,12)++*
s(24,32,20)c(32,24,20)c(32,16,12)-*s(32,16,20)t(24,24,20)-+
t(32,40,28)c(40,24,20)s(32,24,20)*t(48,24,12)s(32,24,12)+++
t(32,40,28)t(32,32,28)s(16,40,20)-s(16,32,12)s(48,40,20)++*
t(48,48,12)c(32,32,20)s(48,48,12)c(24,32,12)+*t(16,32,12)++
t(24,48,28)s(40,40,28)c(40,24,20)+s(24,48,12)-s(48,32,20)*+
s(24,16,12)t(24,40,28)s(16,32,20)++s(48,40,12)+t(32,32,20)*
c(24,40,20)s(16,40,20)*s(40,40,28)+t(32,48,12)-t(48,40,12)-
c(40,24,20)s(24,24,20)+t(48,16,12)-s(24,40,12)-s(24,16,20)-
s(40,48,20)s(48,32,20)-s(32,32,20)+c(40,32,12)-c(40,40,20)*
t(32,32,28)s(16,48,20)s(16,32,20)*-s(32,40,28)+c(32,32,12)-
s(32,40,28)c(32,32,12)s(16,16,12)+-c(40,40,20)-s(48,48,20)+
t(24,32,28)c(24,40,12)-s(40,32,28)s(48,40,20)s(32,40,20)+*-
c(32,32,20)s(32,40,28)*s(48,24,20)-t(32,32,12)-s(24,32,20)*
s(24,16,20)s(40,40,28)s(24,32,20)s(32,40,28)*s(24,24,28)*-+
t(40,56,12)s(16,40,20)+s(32,24,28)s(24,24,12)-s(32,48,20)-+
c(32,32,28)t(40,48,20)-s(24,24,28)+s(40,32,20)*t(24,24,12)-
t(40,32,20)c(24,48,12)+c(32,32,28)c(40,16,12)-*s(24,32,28)*
s(40,48,12)c(24,40,20)s(24,24,28)s(32,32,28)**c(16,32,12)++
s(32,24,28)c(40,24,12)t(32,48,20)+c(32,32,20)+c(24,40,20)*+
c(32,32,20)c(24,32,12)t(40,24,12)s(24,8,12)++*s(32,24,20)+
c(32,24,20)s(48,32,12)+s(24,32,28)c(48,16,12)+*s(8,48,12)+
s(32,32,20)s(32,24,28)s(24,32,12)-c(24,24,20)+s(24,32,28)**
s(48,24,12)t(24,32,20)+s(40,24,28)*c(32,32,20)t(24,32,20)--
s(32,24,20)s(24,16,20)-s(24,40,28)t(24,48,20)c(24,40,12)+-+
s(32,32,20)s(40,32,28)t(48,24,12)-s(40,40,28)*+s(16,48,20)+
c(32,16,12)s(16,32,20)c(40,32,20)-+s(32,32,20)t(32,40,20)*+
c(32,32,20)s(40,24,20)t(24,40,28)+c(40,32,20)**c(24,40,20)*
s(32,40,20)s(40,48,20)t(24,48,20)-+c(32,24,12)-s(40,40,28)*
s(48,40,20)t(32,40,20)+t(40,56,12)+s(48,24,20)s(48,48,20)+*
s(40,48,20)c(40,40,20)s(48,24,20)*c(24,32,12)+-s(32,48,20)*
s(16,24,20)s(48,40,20)c(16,16,12)c(48,40,12)+*+s(32,32,20)*
t(48,56,12)t(40,40,20)s(48,16,20)-t(24,24,20)+s(24,40,20)*+
s(40,40,20)s(16,24,20)+c(40,16,12)+s(40,24,28)*c(16,40,12)+
c(16,24,12)c(32,24,20)+s(16,32,20)c(32,32,28)*s(16,16,20)+-
s(32,32,28)s(16,16,20)c(40,32,20)+*s(24,16,20)c(32,16,12)--
s(24,16,20)c(40,40,20)s(48,32,20)-t(32,24,20)-+c(32,40,20)+
t(32,48,28)s(32,16,20)t(16,32,12)++s(40,32,20)-t(24,40,28)*
c(40,40,20)s(24,24,28)t(32,48,28)c(40,32,12)-t(24,32,28)+*+
c(40,40,20)c(32,32,12)-t(48,48,12)c(32,32,20)+s(32,32,20)-+
s(24,24,12)t(48,32,12)+t(40,40,20)-c(32,32,20)c(16,32,12)-+
c(40,40,20)s(40,32,28)c(24,24,20)-s(32,40,28)t(24,40,28)---
c(32,32,20)t(40,48,20)s(16,40,20)+s(24,40,28)**s(48,24,20)-
s(32,32,20)c(48,32,12)-c(32,40,12)s(32,24,12)++t(16,48,12)+
c(32,32,20)t(24,24,20)-t(48,16,12)c(24,40,20)+*s(32,48,20)*
s(40,32,28)t(24,32,28)s(24,48,20)s(32,32,20)-s(40,32,20)+--
c(24,24,20)s(24,32,20)s(40,32,12)-c(24,16,12)+*s(16,32,20)*
c(40,24,20)c(48,32,12)t(40,16,12)s(24,32,20)+c(24,40,20)*+*
s(32,40,28)s(48,40,20)t(48,24,12)-*s(32,48,20)c(40,32,20)-+
s(32,40,20)t(32,48,28)c(48,16,12)t(24,40,20)+s(24,40,12)--*
s(40,40,20)t(32,32,28)t(24,32,20)*s(16,32,20)s(32,32,20)*++
t(24,32,28)s(24,24,20)s(8,8,12)t(32,48,28)+--s(40,40,28)*
c(32,32,20)t(40,48,12)s(24,40,20)t(32,48,12)-+*c(40,32,12)+
c(24,32,20)t(32,32,28)s(32,40,12)-*t(16,32,12)-t(24,48,12)+
t(24,32,28)s(24,16,20)s(32,24,28)*t(24,24,12)-c(32,40,12)+-
s(24,40,28)s(48,16,12)s(40,32,20)+c(40,32,20)*c(32,24,20)*-
s(16,40,20)s(40,48,20)t(32,48,20)*+c(48,48,12)+s(16,24,20)-
s(32,24,28)c(40,24,12)s(8,8,12)+-t(32,16,12)-s(16,40,20)-
s(48,40,20)t(40,56,12)s(40,32,20)s(48,32,20)s(48,40,20)**+*
s(24,48,20)t(48,40,12)s(48,8,12)++s(16,32,20)+c(32,48,12)-
s(24,32,28)s(32,48,12)-s(40,32,20)*t(24,40,20)+c(24,24,20)+
s(32,32,20)c(40,24,12)s(16,24,20)+*t(40,56,12)+s(40,32,20)*
t(32,32,12)s(40,24,20)s(16,16,20)+s(24,32,28)*t(32,24,12)-+
s(24,32,28)s(24,40,20)s(32,40,12)--c(40,24,12)-c(32,40,12)-
s(40,16,20)c(48,40,12)+s(32,24,20)+t(24,40,28)*s(24,48,12)+
s(16,24,12)t(32,40,20)s(32,48,20)++c(32,40,12)c(40,16,12)+*
c(24,40,12)s(24,8,12)+c(24,40,20)*s(40,32,20)s(24,24,20)-+
s(32,40,28)s(16,16,20)s(32,48,20)+s(40,24,20)c(32,32,20)*-+
s(40,40,28)s(24,40,28)s(16,32,20)+s(40,40,12)-c(32,24,20)--
s(32,40,20)s(40,40,20)s(16,24,20)+c(24,24,20)--s(40,16,20)+
t(24,24,12)s(48,16,20)s(32,32,12)+t(24,48,12)++c(40,24,20)*
s(24,40,20)s(24,24,28)t(24,24,12)-*c(40,40,20)c(40,24,12)-+
s(32,40,28)s(48,48,12)s(40,24,28)t(24,40,28)-+*s(48,16,20)+
c(40,24,20)t(32,32,28)t(24,48,28)t(32,48,28)*+*s(32,16,12)+
s(48,40,12)c(40,32,12)s(8,40,12)++s(48,48,20)+t(24,40,28)*
s(48,16,20)s(48,16,12)-s(32,40,20)+s(40,32,20)c(32,24,20)**
t(24,48,20)s(32,24,20)t(48,48,12)+s(24,16,20)*+t(32,24,20)+
t(40,24,20)c(48,48,12)+t(32,48,20)+s(24,24,28)s(16,32,12)-*
t(16,24,12)s(40,40,28)t(40,48,12)-+s(16,40,20)-t(40,48,20)+
s(48,48,20)s(32,40,20)c(40,16,12)t(32,40,20)+*-s(32,40,12)+
t(40,24,20)t(24,48,28)c(32,40,12)++s(24,24,28)*t(32,24,20)+
t(24,48,20)s(24,40,20)s(48,48,20)s(40,32,20)+s(48,32,20)*-*
s(32,40,28)s(48,32,20)+c(40,40,20)s(48,40,20)*-s(32,32,28)+
s(32,24,28)s(24,40,20)-s(32,40,28)*t(32,32,20)c(48,16,12)++
t(32,24,20)s(16,40,20)s(24,24,20)+c(40,24,20)*+t(16,56,12)+
s(48,48,20)t(24,40,20)+t(48,48,12)-s(16,32,20)-s(16,24,20)+
t(32,24,20)s(40,32,28)*c(16,32,12)+c(32,40,12)-s(16,32,20)*
s(16,24,12)c(48,16,12)c(40,40,20)t(24,40,20)-++t(32,40,28)*
s(40,40,20)t(32,40,28)t(40,32,20)s(48,48,12)s(48,32,20)+*-*
c(24,24,20)s(40,40,12)s(8,24,12)+-c(24,32,20)c(32,40,20)--
c(40,40,20)s(48,32,12)-s(8,32,12)c(32,32,20)t(40,24,12)-+*
s(40,40,28)s(32,32,28)*s(40,24,28)*c(40,32,20)s(32,40,20)--
s(40,24,28)s(32,32,20)c(48,48,12)s(32,16,20)+s(48,24,20)--*
s(24,16,20)c(32,32,20)c(40,32,20)*s(32,40,12)c(24,24,12)+*-
c(40,16,12)s(40,48,12)+s(24,32,20)+t(32,40,20)-s(24,24,20)*
s(24,40,20)t(32,48,28)s(48,48,20)+c(24,24,20)s(40,32,28)*-+
s(24,32,20)t(40,24,20)s(40,24,12)s(32,40,20)++*s(48,16,20)-
c(32,32,20)s(40,16,20)*s(32,32,28)c(40,24,20)-+s(16,40,20)+
t(32,48,20)s(32,16,12)+s(40,24,20)s(32,32,28)+c(40,24,12)--
c(40,32,20)s(16,40,20)-c(40,32,20)s(24,32,28)*c(32,24,20)**
t(32,32,28)s(24,40,20)*s(24,40,20)s(24,48,20)*+c(16,32,12)-
s(32,32,28)s(16,24,20)c(24,40,20)+s(24,32,28)**t(40,56,12)+
s(48,48,20)t(24,40,28)t(40,24,20)-+c(16,32,12)-t(24,56,12)+
s(32,40,20)t(16,32,12)s(32,32,20)t(24,16,12)-+*s(40,48,20)+
c(48,16,12)s(16,48,20)+t(48,16,12)c(48,32,12)+s(48,40,12)--
s(24,32,28)t(32,16,12)s(24,40,12)s(32,32,12)++s(40,32,28)*-
s(24,32,28)s(40,24,28)*s(32,40,28)s(48,48,20)*s(40,40,20)*+
s(40,32,28)s(32,16,20)-s(40,40,28)c(48,40,12)c(24,48,12)+*-
c(32,24,20)s(24,24,20)c(48,40,12)c(24,32,20)+s(24,32,28)***
c(24,24,20)c(32,32,28)c(32,32,20)s(16,48,20)+s(24,24,20)--*
s(16,48,12)s(24,40,28)s(32,40,28)t(24,40,28)c(16,32,12)+*-+
s(48,24,20)c(40,16,12)c(40,40,20)+s(32,24,28)**s(32,24,20)*
t(32,24,20)c(24,32,20)t(32,48,20)-c(32,40,12)-+c(48,16,12)+
t(24,32,28)s(24,32,28)s(32,40,20)*s(32,8,12)+c(32,32,20)*-
c(32,16,12)t(40,40,20)c(24,32,20)+t(24,56,12)++s(48,24,20)-
s(16,8,12)s(32,40,12)s(32,24,20)s(32,16,20)s(24,8,12)-*++
s(48,48,20)s(40,8,12)t(24,40,12)+c(40,32,20)+*s(32,48,20)+
s(40,40,20)s(32,24,20)c(32,32,20)s(32,40,12)-+c(40,24,20)**
s(32,48,20)s(40,48,12)-s(32,32,28)s(32,40,28)*t(24,48,20)--
t(40,16,12)s(16,16,12)+s(16,16,20)s(32,24,28)t(32,16,12)-*+
s(40,32,20)s(48,16,20)s(32,24,28)*c(32,32,28)c(24,24,12)-*-
t(32,32,28)s(40,16,20)-s(40,40,28)s(40,48,12)-s(40,48,20)--
c(24,32,20)s(24,24,28)*s(16,32,20)c(40,40,20)c(40,24,20)-++
t(24,48,20)s(24,24,28)-c(16,48,12)t(40,32,20)t(24,40,20)-++
s(32,40,12)c(24,24,20)s(24,32,12)-t(24,24,20)-s(8,24,12)-+
s(24,24,20)t(32,40,28)s(40,24,12)-t(32,32,28)+c(24,24,20)**
s(24,24,20)s(40,24,28)*t(48,16,12)t(32,24,20)+c(32,24,20)**
c(24,32,20)s(16,48,20)c(32,24,20)+s(40,24,28)t(24,48,20)+**
c(32,24,20)s(32,48,20)c(32,32,12)-t(32,24,20)+*s(48,40,20)-
c(24,32,20)t(24,32,28)s(16,40,20)*t(32,40,28)t(40,40,12)-+*
c(32,32,20)c(24,24,20)s(40,48,20)-s(16,24,12)-s(32,32,28)**
t(32,40,28)s(32,32,20)s(48,24,12)-s(16,32,20)+c(40,32,12)+*
s(24,24,20)t(40,40,12)+s(40,40,28)*s(48,48,12)+s(24,24,12)-
t(40,16,12)s(24,16,20)+s(16,8,12)-c(24,24,20)s(24,32,20)**
s(32,24,28)s(40,48,20)+c(32,40,20)s(32,24,12)-t(40,48,20)*-
s(24,32,28)t(40,48,20)+s(40,24,20)+c(32,40,20)-s(24,40,28)*
t(24,40,28)s(16,48,20)s(48,24,20)+-c(24,48,12)t(16,48,12)+-
c(24,32,20)t(24,48,28)t(24,48,28)s(48,24,20)+c(32,32,20)-+*
s(24,40,20)s(48,48,20)-s(16,40,20)s(24,32,28)s(40,40,28)-*+
s(24,40,20)c(32,32,20)s(24,32,28)s(48,48,12)+c(24,24,20)***
s(24,40,28)c(24,32,20)c(40,24,20)*c(24,24,20)*-c(40,48,12)-
s(40,16,20)s(24,32,20)s(16,24,12)c(40,32,20)++*s(40,32,20)*
t(32,32,28)c(40,32,20)s(40,48,20)s(8,24,12)+s(32,40,20)--*
c(32,40,20)s(32,24,28)c(24,24,20)*s(40,16,12)+*c(48,32,12)+
t(32,32,28)c(32,32,20)t(24,32,28)s(40,32,20)*--c(24,24,20)+
c(40,24,20)s(48,32,20)t(40,16,12)+s(8,24,12)+*s(8,40,12)+
t(40,48,20)c(32,32,28)s(40,16,20)-s(24,16,20)s(40,32,20)--*
s(40,48,20)c(40,32,12)t(40,40,20)+s(24,40,20)c(40,32,12)-+*
s(16,16,20)s(8,24,12)s(8,8,12)t(40,48,12)+s(40,32,12)++-
s(40,8,12)c(32,32,28)c(32,16,12)-+s(48,40,12)-c(40,32,20)-
s(32,32,20)c(24,24,20)*s(32,32,12)s(48,24,20)+s(24,24,12)+*
s(32,32,20)t(24,24,20)t(40,32,20)t(16,16,12)+c(40,40,12)-+*
s(48,48,12)s(16,24,20)c(32,32,20)++s(40,24,28)*s(48,32,20)*
t(32,40,20)s(24,32,28)t(24,24,20)-c(32,32,28)*s(40,40,20)--
s(24,40,28)c(24,40,12)-s(16,16,20)c(24,48,12)s(16,24,12)+-+
c(40,40,20)s(48,8,12)s(40,48,20)+*t(32,40,12)s(24,24,12)+-
c(24,32,12)s(24,16,20)s(40,16,12)+c(24,48,12)+c(24,24,20)-+
t(40,56,12)c(24,24,20)s(48,8,12)++s(32,24,12)-c(16,40,12)-
t(24,16,12)c(32,40,20)s(32,24,28)t(24,32,28)-c(24,16,12)-++
s(32,24,20)c(48,48,12)+s(40,24,20)s(24,16,12)+c(48,40,12)+*
c(48,16,12)s(16,32,20)+c(24,32,20)t(32,24,12)-t(24,24,20)--
s(40,24,20)s(32,24,28)c(40,32,20)s(40,24,20)+*s(40,40,28)**
c(40,32,20)c(48,16,12)+t(32,40,28)*s(40,40,20)t(40,24,12)-*
t(32,48,28)s(32,32,12)t(24,48,28)c(24,16,12)+s(24,8,12)-+*
c(40,24,20)s(40,8,12)-s(40,40,12)-t(48,32,12)-t(40,40,20)+
c(24,32,12)c(40,24,12)+t(32,48,28)-s(48,32,12)-s(8,8,12)+
s(32,48,20)s(16,16,12)c(32,32,12)t(24,32,12)++t(24,32,28)*-
c(40,24,20)s(32,40,20)s(24,32,20)c(32,40,20)**-s(48,16,12)-
c(16,40,12)s(24,32,20)c(24,32,12)s(8,48,12)+*+s(40,40,20)-
c(40,24,20)s(24,32,28)s(16,16,20)s(32,32,28)+*s(40,48,12)-*
s(24,32,28)s(24,48,12)t(48,56,12)s(16,24,12)s(24,16,12)+++*
c(24,24,20)t(24,56,12)t(24,40,20)s(32,24,12)+c(32,24,20)*+*
t(24,40,28)c(40,32,20)s(24,48,20)s(40,32,28)-t(24,32,28)++*
s(40,32,28)c(24,48,12)-s(40,32,12)-s(24,16,12)+c(24,32,12)+
s(24,40,28)c(32,32,20)c(32,48,12)-s(48,32,20)-t(32,32,12)--
s(48,32,20)s(48,16,20)*c(32,24,12)+c(40,24,20)t(24,32,28)-+
s(24,8,12)s(48,24,20)+s(40,48,20)-s(48,32,20)c(40,16,12)--
s(48,32,20)c(24,24,12)+s(24,24,28)*s(40,24,28)s(24,48,12)+*
c(32,32,28)s(48,24,12)-t(40,24,20)-s(32,40,28)s(24,32,20)*+
s(24,32,28)t(40,24,20)+s(48,48,12)+t(32,40,28)s(24,24,28)-*
c(24,24,20)s(48,24,20)+s(48,32,20)t(40,16,12)++s(16,32,20)-
s(40,32,28)t(24,32,28)s(24,24,28)*-s(32,24,28)t(48,56,12)++
t(32,48,28)c(32,24,20)s(40,8,12)+-t(40,48,20)s(48,40,12)--
c(24,40,20)c(48,48,12)+t(32,16,12)s(32,40,20)s(24,24,12)-+-
c(32,24,20)s(40,32,20)c(40,24,20)**t(24,40,12)+s(24,32,20)*
c(32,32,20)t(40,16,12)-s(48,40,20)*s(48,32,12)+c(32,32,20)*
s(16,48,12)s(24,48,20)s(24,24,28)s(24,32,28)+*s(48,24,12)++
c(48,16,12)t(24,40,28)s(24,24,28)+s(16,16,12)-+t(24,48,28)+
c(40,24,20)c(24,32,20)s(24,40,20)s(16,16,20)s(16,8,12)--*-
s(40,40,20)s(48,48,20)s(16,24,20)+s(24,24,28)+s(24,40,20)*-
t(32,32,28)c(16,24,12)t(24,32,28)+s(8,40,12)-c(32,32,12)--
s(32,32,20)s(24,32,20)t(48,16,12)+*c(24,40,20)t(40,48,20)-*
c(40,24,20)c(32,24,20)t(24,40,28)s(16,16,20)s(32,24,12)-+*-
c(40,40,12)s(48,24,12)+s(40,40,12)s(32,48,12)++c(32,40,20)+
s(32,16,20)s(24,32,28)c(32,24,20)s(48,40,20)s(24,40,20)+*--
s(24,40,28)c(48,40,12)s(16,48,20)+t(48,16,12)+*s(40,24,28)-
s(16,48,20)s(32,48,20)t(40,40,12)s(8,8,12)+t(40,32,12)++-
s(40,24,28)t(40,24,12)-c(48,40,12)-c(24,24,20)s(32,24,28)**
c(24,24,20)s(24,40,20)s(48,8,12)+-s(24,24,12)-t(16,24,12)+
c(32,24,20)s(32,40,28)s(8,8,12)s(32,32,20)s(40,40,12)-+--
s(16,48,20)t(32,40,28)s(24,24,20)t(24,40,28)*t(24,40,20)+*-
c(32,24,20)s(16,40,20)-s(32,40,28)s(24,40,12)-s(32,32,28)*-
s(24,16,20)s(24,24,20)t(32,32,12)-*s(48,48,12)t(40,40,12)++
s(8,48,12)s(8,16,12)+s(32,16,12)+s(24,8,12)-s(24,32,28)*
t(40,32,20)t(40,48,20)+s(16,48,20)s(24,40,12)-s(32,48,20)+*
s(48,48,20)s(48,16,20)t(32,48,12)t(40,16,12)+-+t(32,48,20)-
t(24,32,20)t(32,32,28)*c(16,32,12)s(40,40,20)+*s(24,40,12)+
t(32,32,28)c(32,32,20)s(40,48,20)*s(48,32,20)+s(40,40,28)+*
t(16,32,12)s(40,40,28)s(48,32,20)*+s(16,24,20)s(24,40,28)*-
s(40,48,20)s(40,40,20)s(24,48,20)s(32,48,20)*-t(40,32,20)+*
s(32,16,20)t(24,24,20)s(24,16,20)c(32,32,28)*+s(40,40,20)-*
s(32,16,20)s(48,48,20)+s(40,16,12)s(48,32,12)+c(48,24,12)+-
s(8,48,12)c(48,32,12)s(16,16,20)++s(40,24,28)+s(24,40,28)+
s(40,40,28)s(32,40,28)c(16,48,12)-*s(16,48,12)+s(40,32,20)*
t(40,16,12)c(32,32,28)t(32,48,28)c(24,24,20)s(40,24,28)*-*+
t(24,48,28)s(24,40,28)*s(24,40,28)s(24,16,20)t(32,24,20)+-*
c(40,32,20)c(24,40,20)s(32,40,28)s(24,32,28)c(32,32,12)--++
s(16,40,12)c(32,24,12)+t(32,40,28)s(32,32,12)t(40,48,20)+*-
t(48,24,12)t(32,40,28)c(24,24,20)*+s(8,32,12)+s(40,32,20)+
c(24,24,20)c(24,40,12)+t(24,32,12)t(32,40,20)+-c(40,40,12)+
c(24,40,12)s(16,24,12)+c(16,40,12)s(24,32,20)+s(32,32,20)**
s(24,40,28)s(48,48,12)s(24,32,28)t(32,40,28)-+*s(40,48,20)+
t(40,24,20)s(48,24,20)+c(40,24,12)-s(40,32,20)t(32,32,20)*-
s(32,24,28)s(32,32,20)s(48,32,20)c(24,24,20)--s(16,32,12)+-
s(8,8,12)c(48,16,12)+s(24,32,28)-s(40,40,20)s(16,48,12)++
s(24,48,20)s(48,24,20)s(24,32,28)+s(40,24,28)--s(24,24,20)-
c(48,32,12)s(40,32,12)+s(32,24,20)+s(32,40,20)+s(24,40,20)+
s(16,40,20)s(32,32,28)t(32,40,28)*s(24,24,28)*+c(24,24,20)*
t(40,40,20)c(24,32,12)+s(24,40,28)t(32,32,28)**t(24,40,28)*
s(24,32,28)c(24,40,20)t(16,32,12)t(32,24,20)c(24,16,12)++-*
t(24,40,28)s(24,24,28)-c(32,24,20)+s(16,24,12)-t(32,32,28)*
t(40,48,12)t(16,32,12)s(32,40,20)+s(24,24,20)*+c(32,32,20)*
c(40,24,20)c(40,32,20)s(48,48,12)c(32,32,12)+c(48,32,12)--*
s(32,24,28)c(40,48,12)s(40,24,28)s(40,32,12)-+s(48,32,20)-*
t(32,40,28)c(40,24,20)+t(32,40,28)s(16,40,20)*-s(24,32,28)+
s(32,40,28)c(32,32,20)*s(48,24,20)+s(32,40,20)*s(32,24,28)*
s(40,24,20)s(24,40,28)t(40,48,20)s(32,16,12)+s(48,48,20)*--
c(40,32,12)s(48,16,12)s(24,24,20)s(32,24,20)*t(16,16,12)+++
s(48,32,12)s(40,8,12)c(32,48,12)++c(32,32,28)s(40,16,12)-*
c(24,40,20)c(16,48,12)s(32,8,12)+-s(8,40,12)-s(40,40,12)-
s(16,24,12)t(32,48,12)+t(48,24,12)s(32,40,20)++s(32,24,28)+
s(48,24,12)s(24,8,12)+s(24,32,20)+t(32,40,28)+c(32,16,12)-
t(32,40,28)t(32,24,20)+c(32,40,20)*s(48,24,20)-s(40,40,12)-
c(32,40,12)s(32,40,28)s(40,32,20)*c(24,32,12)c(48,16,12)+-+
c(24,48,12)c(32,24,20)t(24,40,28)-c(48,32,12)-+c(32,16,12)-
c(32,24,20)t(32,48,20)s(24,24,28)-+s(24,32,20)*c(24,24,20)*
s(24,24,20)c(24,24,20)t(24,48,12)s(40,8,12)+-t(32,40,28)*-
t(24,40,28)t(24,48,28)*s(32,24,28)s(24,16,20)*-t(40,40,20)-
t(32,48,28)s(8,24,12)t(32,32,20)++s(48,48,12)c(24,24,20)+-
c(24,32,20)t(40,32,12)-s(24,40,28)c(24,24,12)-s(16,48,20)+*
s(16,40,20)t(32,56,12)+c(32,24,20)t(40,32,20)*t(24,40,20)+*
s(40,16,20)s(32,32,28)s(40,40,28)*-c(24,48,12)t(32,24,20)+-
s(16,32,20)s(24,16,12)s(24,24,28)s(16,40,20)*+c(32,40,12)-*
s(24,48,20)c(24,40,20)t(32,24,20)t(24,24,12)s(48,24,20)+*-*
s(24,24,28)s(32,40,28)-c(32,40,20)s(16,48,12)c(32,32,20)+*+
s(32,40,28)s(32,24,28)s(16,32,20)s(8,16,12)-*-s(48,32,20)*
s(40,24,20)s(24,16,12)-t(24,48,28)s(24,32,28)*c(32,24,20)+*
s(24,40,20)c(32,24,12)+s(48,32,20)s(32,24,12)-c(16,32,12)+*
t(40,40,12)t(32,48,28)s(40,48,20)s(24,40,12)-*s(24,24,28)-+
s(32,40,28)c(24,40,20)s(24,32,28)**s(32,24,28)*s(24,16,20)-
c(32,24,12)c(48,24,12)+t(24,48,28)c(48,40,12)t(24,24,20)+-+
c(32,24,20)s(32,24,28)s(16,40,20)s(24,24,28)t(40,24,12)-+*+
s(24,40,28)c(32,32,20)+t(24,48,12)-s(32,40,28)s(40,40,28)**
t(16,32,12)c(24,40,12)t(24,48,12)s(48,24,12)++c(40,32,12)-+
t(32,32,28)s(40,48,12)+s(24,24,28)+s(8,24,12)-s(24,40,20)*
s(24,24,20)s(32,32,12)-t(16,40,12)s(48,16,12)++c(48,40,12)+
s(40,40,20)s(40,32,20)s(24,32,20)s(24,40,28)c(40,32,20)*+*+
s(24,32,20)s(48,40,12)+c(32,32,12)c(32,32,20)c(24,24,12)-+*
s(48,32,20)t(32,32,20)-c(40,32,20)*s(40,40,28)s(24,48,20)-*
c(32,24,20)s(32,32,28)c(40,24,12)-t(40,32,12)+t(40,32,20)-+
t(24,24,20)c(24,32,12)t(16,24,12)+c(40,16,12)+s(40,32,28)*+
t(40,40,20)c(32,24,20)t(48,24,12)-s(32,48,20)-s(16,40,20)--
s(16,40,20)c(32,40,12)+s(40,24,28)-s(16,32,20)*t(24,32,12)+
t(32,48,28)s(48,40,20)s(48,16,20)+s(24,48,12)+t(32,48,20)--
c(24,24,20)c(40,48,12)+t(16,56,12)+c(24,32,12)-c(32,32,12)-
t(32,40,12)c(24,24,20)s(24,40,20)*s(8,40,12)-+c(40,24,12)+
s(24,32,28)c(32,48,12)-s(24,40,28)s(48,40,20)s(40,24,20)--*
s(16,24,20)s(24,32,20)*t(32,40,28)+t(32,32,28)*t(40,32,20)-
s(48,32,20)s(24,48,20)c(40,40,20)c(24,48,12)++s(32,16,20)-*
t(16,48,12)t(32,32,28)t(24,32,28)*s(32,48,20)+s(16,48,20)-+
s(40,24,28)s(40,48,20)+s(40,32,28)s(32,8,12)s(8,8,12)++*
s(24,40,28)t(24,40,20)-s(32,40,28)*t(32,48,20)c(24,24,12)+*
s(48,32,20)s(40,24,28)c(32,40,20)t(40,48,12)-+*t(32,32,28)*
c(32,32,28)c(16,40,12)s(48,40,12)+s(48,40,20)--c(32,32,12)-
s(32,16,20)t(24,48,28)+s(24,32,20)s(16,40,20)*-s(16,24,20)+
s(24,40,20)t(24,40,28)s(24,24,20)t(24,32,28)*+t(32,32,12)-*
s(48,32,20)s(48,24,12)c(32,40,20)+s(24,24,28)-+s(32,24,20)-
t(24,48,20)s(32,32,20)+s(32,40,20)s(40,16,20)-s(40,48,20)**
s(24,24,20)s(32,16,12)t(32,32,12)+-s(40,40,20)+t(32,32,20)*
s(40,32,28)t(16,16,12)+s(16,40,20)t(40,24,20)+*t(24,48,20)-
s(32,40,28)s(48,32,12)-c(24,24,20)-s(24,40,28)t(16,48,12)-*
s(48,24,20)c(32,32,28)s(40,40,12)-+s(40,32,20)t(48,24,12)--
s(32,32,12)c(16,16,12)+s(40,40,20)+s(24,40,20)s(48,24,12)+*
c(24,32,20)t(32,32,12)s(40,32,12)+t(24,40,28)t(32,48,20)-+-
s(32,40,20)s(48,16,20)+t(32,40,28)*s(32,24,12)-t(40,24,20)+
c(16,32,12)s(40,32,28)s(48,48,20)*+s(40,32,20)s(48,32,20)*+
s(32,32,28)s(8,40,12)t(24,40,12)+-s(24,32,28)*t(40,40,12)-
c(24,32,20)s(24,40,12)-t(40,24,12)-s(32,48,20)t(32,32,28)*-
c(40,24,20)s(24,32,20)t(24,48,28)t(40,56,12)-s(24,24,28)-+*
s(16,24,20)s(32,16,20)-s(32,32,28)s(24,16,20)*+c(40,40,20)-
t(24,24,20)s(40,32,28)+c(32,24,20)t(32,48,20)-c(24,16,12)-*
s(48,8,12)s(32,32,28)+s(48,40,20)c(32,40,20)*-s(32,32,20)*
t(24,48,20)t(32,48,28)s(48,32,20)-*c(32,32,12)+t(40,40,20)-
s(40,32,20)t(24,48,12)s(48,24,20)c(48,40,12)s(24,24,28)+*+-
c(40,32,20)s(24,32,12)t(24,32,28)s(40,32,20)*+*t(40,32,12)-
s(24,48,12)s(48,48,12)+c(16,24,12)+s(32,40,20)*s(48,32,20)+
s(16,48,20)s(24,48,20)+c(40,24,20)+s(32,24,28)*s(16,40,12)-
s(8,32,12)t(40,16,12)c(40,24,20)c(32,24,20)*t(24,32,28)*++
t(24,40,28)s(48,32,12)t(48,24,12)+s(24,24,28)t(32,24,12)-+*
s(24,32,28)s(24,24,28)s(8,16,12)-+c(32,24,20)s(24,32,20)*-
c(40,24,12)s(40,48,20)s(32,32,28)*s(8,8,12)+s(8,48,12)++
s(16,40,20)t(40,40,12)s(48,8,12)++t(24,24,20)-s(32,48,12)-
s(8,16,12)s(16,40,20)s(32,16,12)t(24,32,28)+c(40,16,12)-*+
c(24,40,20)c(32,16,12)+s(24,40,28)*c(40,24,12)-s(48,40,20)-
c(40,32,20)s(16,32,20)t(24,24,20)+s(16,40,20)+c(32,40,12)--
t(24,48,28)s(16,48,20)*s(40,40,28)s(40,24,28)*s(48,40,20)++
s(24,48,20)c(32,24,20)-s(32,24,28)t(16,24,12)--s(32,40,28)+
t(32,40,28)c(40,32,20)*c(24,24,20)s(24,40,20)*c(24,16,12)++
s(16,24,20)t(40,24,12)+t(32,32,28)s(8,8,12)+c(48,40,12)-*
c(24,32,20)s(16,16,12)-s(24,32,20)*t(40,32,12)-c(16,48,12)-
s(32,40,20)s(32,48,20)c(24,40,20)**s(24,48,20)t(24,48,28)**
t(24,56,12)s(24,40,20)+t(24,32,28)c(24,40,20)*s(40,40,20)+*
s(32,40,28)t(32,40,20)c(48,40,12)-c(40,24,20)t(40,24,20)-+*
s(24,40,28)s(16,32,20)s(48,48,12)s(16,16,12)+-t(32,40,20)-*
t(24,32,28)s(40,24,28)c(48,16,12)-c(32,40,20)*s(40,32,20)+*
t(40,48,12)s(16,8,12)+t(24,24,20)+c(48,24,12)s(32,40,20)+*
s(24,24,20)s(32,24,28)c(24,24,20)t(32,16,12)-*s(24,32,12)-+
c(24,40,20)t(32,48,20)t(32,40,28)+*t(24,48,28)t(24,56,12)-+
t(32,40,28)s(48,24,12)t(32,48,12)+-s(40,32,28)s(24,32,20)**
t(24,40,12)s(48,16,12)+c(32,40,20)+c(32,40,12)s(40,16,12)+*
s(40,32,12)s(32,8,12)+s(16,32,12)+t(32,32,28)+s(32,40,20)*
s(24,40,20)s(32,48,12)s(40,48,12)t(24,32,28)+s(32,24,20)-+*
c(24,32,20)c(32,40,20)*s(16,24,12)+s(24,40,20)s(24,48,20)*-
t(24,32,28)c(48,24,12)t(32,48,20)s(40,16,12)+s(40,32,12)-+-
s(32,24,28)s(24,32,28)c(40,40,20)t(24,32,28)*-*c(24,32,12)+
s(40,16,12)s(32,24,12)+s(48,40,12)s(32,16,20)s(40,40,28)-++
s(40,40,28)s(40,24,20)s(32,32,28)*s(32,8,12)-s(32,16,12)+*
c(24,24,12)t(32,48,20)s(40,48,20)++t(24,56,12)-c(32,24,20)-
c(24,32,20)s(16,32,12)s(8,8,12)++c(40,40,20)t(32,48,20)*-
s(48,16,20)t(16,24,12)c(40,24,20)s(40,40,20)-+c(24,40,20)-*
s(24,8,12)t(24,32,20)+t(32,40,28)+c(32,40,20)-s(24,48,20)-
s(16,32,20)s(16,24,20)t(24,40,20)-s(24,24,20)+*s(40,16,20)+
c(24,40,20)s(32,32,20)s(40,24,28)s(24,32,28)*c(40,32,12)+**
s(24,32,28)s(24,24,12)-c(32,32,12)-s(40,24,12)+c(40,48,12)+
s(40,16,20)s(40,24,20)+c(40,40,20)c(40,32,20)**t(40,48,20)-
c(24,40,12)s(40,32,20)c(40,32,20)s(40,48,12)-*s(32,24,28)*+
s(16,48,20)s(32,48,20)s(32,24,20)--s(40,48,12)s(16,40,20)+*
s(24,32,28)s(32,40,28)*c(32,32,20)t(32,40,12)-*s(40,16,20)-
s(24,40,12)s(40,32,20)+t(32,40,12)-s(32,40,28)s(16,32,12)-*
s(16,48,20)s(8,24,12)+s(24,32,28)*c(32,32,12)+c(32,48,12)-
s(40,32,28)c(24,40,20)s(32,40,28)*s(24,8,12)+c(40,16,12)+-
t(24,32,28)c(24,40,20)t(32,48,28)s(40,40,12)-t(24,40,28)*-*
c(24,48,12)s(32,8,12)+c(32,48,12)c(32,40,12)+s(32,32,28)*-
t(40,40,20)t(32,40,28)t(32,32,28)s(24,40,20)s(16,32,20)-+**
c(40,32,20)c(24,32,20)-t(24,24,20)c(40,40,12)s(48,48,12)+++
s(32,48,20)c(32,32,28)c(40,16,12)-t(24,40,28)t(24,32,28)*-*
c(32,32,20)c(32,32,12)c(48,24,12)+s(24,32,28)*s(48,16,20)+*
s(8,40,12)s(16,32,20)s(24,32,12)-+s(24,16,12)-s(24,32,28)*
s(40,24,20)t(24,40,28)c(40,40,12)-t(32,48,28)s(32,40,28)+*-
s(40,24,28)c(40,32,20)*s(32,24,12)s(16,40,20)s(24,24,12)++*
s(24,40,20)s(32,32,28)*s(40,48,20)c(32,32,20)t(16,48,12)+*+
s(32,32,28)c(24,24,20)+t(32,24,12)-s(32,40,20)c(16,32,12)-*
t(32,48,20)c(32,40,20)s(24,32,12)-s(32,32,28)s(16,48,20)+*+
c(24,40,20)s(24,24,12)s(40,32,20)t(32,24,20)s(48,40,20)+*+-
c(16,40,12)t(40,24,12)+c(24,24,12)-c(48,40,12)+c(24,32,12)+
s(48,40,20)s(48,16,20)t(40,24,20)-+s(40,32,28)*s(16,16,20)+
c(24,24,20)s(48,48,20)+s(40,24,28)s(40,32,20)-c(24,24,12)++
c(24,32,12)t(32,32,20)t(24,40,12)++s(32,48,20)+c(24,40,20)+
s(48,40,20)c(40,40,20)*s(40,24,28)t(24,32,28)+*s(40,48,12)+
s(8,40,12)s(32,32,12)+t(32,32,28)+c(40,40,20)-s(24,32,12)-
t(24,32,28)t(40,48,20)s(24,32,20)+s(24,32,12)-*c(24,24,12)+
c(32,32,20)c(40,40,20)s(32,48,20)*t(40,56,12)s(24,32,28)+**
t(16,32,12)t(40,48,20)s(32,32,12)-t(32,24,12)++s(40,24,20)-
s(48,24,20)t(40,56,12)c(24,24,20)+t(24,32,28)s(32,16,12)---
s(48,48,12)t(32,24,20)+s(48,16,12)c(24,40,20)+c(32,32,20)*-
s(32,48,20)s(32,40,20)t(24,56,12)+s(16,48,20)c(24,32,12)--*
s(40,24,28)s(48,8,12)-t(32,24,20)-t(32,40,28)s(16,32,20)++
s(32,24,12)s(16,24,20)s(8,32,12)t(16,40,12)+-+t(40,24,12)-
s(48,16,20)s(24,32,28)+s(48,24,12)-s(48,24,20)c(32,32,20)+*
s(40,16,12)s(24,32,28)c(40,32,20)*+c(32,32,20)c(32,24,20)**
c(48,48,12)t(24,32,28)c(24,40,12)-t(32,32,28)*t(16,24,12)++
s(32,24,28)s(40,32,20)s(48,32,20)*-c(32,32,28)*c(40,24,20)-
t(16,32,12)c(16,24,12)s(8,8,12)+s(48,24,20)s(24,32,28)+*+
s(24,40,28)c(32,32,20)t(32,40,28)*c(32,24,20)s(32,32,28)***
c(32,24,12)t(24,48,20)t(32,40,12)-s(48,48,20)++t(16,24,12)+
s(16,40,20)t(24,48,28)t(32,48,28)*t(32,40,28)*+c(32,32,20)*
c(48,32,12)s(32,24,20)s(24,32,28)*s(16,16,12)-+c(32,40,20)*
c(32,40,20)t(24,32,28)+t(40,16,12)+c(40,48,12)-s(32,16,20)*
c(24,32,20)s(24,16,20)s(40,40,20)+t(32,40,12)-c(32,48,12)--
c(24,48,12)t(40,32,20)c(40,24,20)s(32,40,20)*+s(40,32,20)*+
s(40,24,28)s(16,48,12)c(48,24,12)+-t(40,16,12)t(32,32,20)+*
s(48,40,20)s(32,24,20)t(32,48,28)s(40,32,28)*--c(48,24,12)-
s(24,32,20)s(40,32,12)-c(16,16,12)t(24,40,28)+t(32,32,28)**
c(32,40,12)s(24,16,12)+s(40,32,20)t(24,40,28)-+s(48,40,20)*
s(24,48,20)t(24,40,20)*t(24,40,20)s(32,8,12)+s(24,24,28)*+
c(32,40,20)s(32,40,20)s(40,40,28)c(40,24,20)*+*s(40,32,20)-
c(24,24,20)c(24,24,20)t(16,24,12)-s(32,32,20)s(48,24,12)---
s(40,48,20)t(32,40,28)s(40,24,28)*+s(40,32,20)-s(32,24,20)-
c(32,24,20)c(24,32,20)+t(24,16,12)-t(24,32,28)*t(32,40,12)-
s(8,24,12)t(40,48,12)t(32,48,20)++s(32,24,20)+s(32,48,20)+
s(24,24,28)s(16,16,12)-c(32,24,12)t(24,40,28)+s(16,16,20)-*
s(40,40,28)c(32,32,28)s(48,8,12)s(48,40,12)+-*c(32,48,12)-
s(40,16,20)s(32,40,28)t(40,40,12)-s(40,24,12)t(32,32,12)++-
c(24,40,20)c(32,32,20)s(16,32,20)+s(32,32,28)*+t(24,24,20)*
s(40,40,20)c(40,32,20)c(40,24,20)*c(32,40,20)t(48,48,12)-*-
s(40,16,12)s(8,24,12)+c(24,32,20)t(40,40,12)-c(24,40,20)*-
s(40,40,20)s(40,40,12)t(24,48,12)+s(40,40,20)*t(40,56,12)+-
s(16,16,20)t(32,32,12)+s(40,32,20)-s(24,24,20)s(24,16,20)*+
s(32,32,20)s(32,16,20)s(40,24,28)c(24,40,12)-+c(24,32,20)**
s(32,16,20)t(48,16,12)s(32,32,20)+c(24,16,12)c(24,40,12)++*
s(48,32,20)s(40,40,20)s(32,48,12)--s(40,40,28)+s(32,24,20)+
s(32,8,12)t(32,24,12)s(24,24,12)t(48,48,12)+s(32,32,28)*++
c(32,32,20)s(48,16,12)c(48,48,12)+t(48,40,12)-s(16,24,12)+-
c(24,32,20)t(32,40,28)s(16,32,20)--t(40,24,12)t(32,32,20)+-
s(16,32,12)s(16,32,20)s(16,24,12)c(40,24,20)+-+s(24,40,12)-
s(48,32,12)t(32,56,12)+c(32,24,12)c(40,40,20)c(24,24,20)-+*
s(48,40,20)s(24,32,28)t(40,24,20)s(32,48,20)+*c(32,48,12)-+
c(32,24,20)s(32,32,12)-s(24,48,20)c(32,32,28)*+s(24,24,20)*
s(24,40,20)c(24,24,12)-t(24,32,28)s(32,24,28)t(40,40,20)---
s(32,32,28)s(40,32,28)s(40,40,20)t(40,32,12)-t(24,24,20)+*-
t(16,40,12)s(32,16,20)c(32,32,20)t(40,24,20)--+s(32,40,20)-
s(40,48,20)t(24,32,28)s(24,24,28)*-c(32,32,12)+s(32,16,20)-
s(24,24,20)t(24,32,28)t(32,48,20)-t(32,32,28)t(32,40,12)-*-
t(32,32,28)t(40,40,20)+t(24,56,12)+t(40,24,12)s(24,40,20)+*
s(24,24,20)s(32,24,28)c(40,24,12)-*s(40,24,28)+s(24,24,12)-
t(32,32,28)t(32,40,12)-t(32,24,20)c(32,24,20)s(40,32,20)*+*
s(40,32,28)t(24,40,12)-s(32,24,28)t(32,24,20)c(16,40,12)+**
s(40,32,12)s(16,48,12)+t(24,40,28)t(32,32,28)--s(24,32,12)-
c(32,24,20)s(16,8,12)c(40,24,20)+*t(24,48,28)t(24,48,12)--
s(24,24,20)t(32,32,28)s(48,40,20)t(24,48,20)+*-s(8,16,12)-
s(24,32,28)s(24,24,28)t(32,40,28)*c(32,40,20)t(40,32,20)*+*
s(32,48,20)c(32,32,20)c(48,24,12)-*t(32,24,12)+s(48,48,20)+
c(24,32,12)t(32,32,20)t(48,40,12)s(24,40,20)+t(32,48,28)+*+
c(40,32,20)t(32,16,12)s(48,48,12)+s(32,40,20)t(32,40,12)-+*
t(24,48,20)s(24,40,20)t(40,16,12)+s(32,24,20)+s(32,16,20)-*
s(40,48,12)s(16,32,12)+s(16,32,20)c(32,24,20)s(48,32,20)++*
t(32,48,28)s(24,16,20)c(24,40,20)+*s(32,24,20)-t(40,24,20)+
t(24,40,20)c(24,40,20)c(32,32,28)s(40,24,28)t(32,48,28)--**
s(40,40,20)s(16,32,12)+t(32,56,12)t(40,24,12)t(16,56,12)++-
s(32,48,20)s(24,32,20)s(40,24,28)c(16,24,12)+s(48,24,12)-*+
c(24,32,20)c(40,40,20)s(24,24,28)s(48,40,20)-+c(40,24,20)**
c(32,40,12)t(24,40,28)s(24,24,28)+t(16,48,12)s(40,24,28)+*+
c(32,32,12)c(24,24,20)s(24,40,20)t(24,40,28)*+s(32,24,20)*+
s(48,16,12)c(16,32,12)t(48,16,12)+s(16,32,20)*+t(24,32,12)-
s(16,32,20)s(32,40,28)*t(24,40,28)t(40,40,20)-+s(32,32,12)-
c(32,48,12)s(16,40,12)s(16,48,12)s(48,48,20)+++s(40,24,28)*
t(24,40,20)t(48,56,12)c(32,24,20)c(40,32,20)*+c(24,40,20)-+
s(32,32,28)s(16,40,20)t(16,40,12)s(48,40,20)+c(24,40,20)*+*
s(40,24,20)s(32,32,20)s(16,32,20)*+c(32,24,20)c(40,40,20)*-
s(24,16,20)s(32,32,28)t(16,32,12)c(24,24,20)s(24,32,12)-+**
s(48,48,20)s(24,16,12)t(40,56,12)+-t(16,16,12)t(40,40,12)+-
c(24,16,12)c(32,32,20)+t(24,40,12)-s(32,40,20)*s(48,48,20)+
c(32,32,20)s(32,32,28)s(32,40,12)s(48,40,12)+-*t(16,32,12)+
c(24,40,20)s(40,40,12)t(24,48,28)+s(40,40,28)+*c(24,24,20)*
c(48,40,12)t(40,32,12)+s(24,40,28)s(48,24,12)+c(40,24,12)--
c(48,48,12)c(32,24,20)s(48,48,20)t(48,56,12)--+s(24,16,20)+
s(32,24,20)c(32,32,28)s(48,24,12)-*c(40,16,12)+s(24,40,12)-
s(16,24,20)s(16,32,20)s(24,8,12)t(32,40,12)++*s(32,48,20)+
c(16,48,12)t(40,32,20)s(32,40,20)+t(40,24,20)-t(24,32,12)-+
s(16,32,20)c(40,40,20)+s(32,16,12)s(16,48,20)+*c(24,32,20)*
s(40,24,28)s(40,32,28)c(24,16,12)-s(24,40,28)*s(32,24,12)+*
t(32,48,28)t(24,40,28)s(40,40,28)*s(16,32,12)-c(32,24,12)+-
s(48,40,12)t(32,40,28)s(40,24,28)s(24,40,28)*s(40,24,12)+-+
s(40,40,20)c(24,24,12)t(40,32,20)++t(40,32,12)-s(48,32,20)-
c(32,32,20)s(32,40,28)t(32,48,28)-c(40,24,12)+*t(40,24,12)-
s(40,32,28)t(16,48,12)s(32,24,20)+s(24,48,12)+s(24,32,20)+*
t(48,32,12)s(24,48,20)s(32,24,28)s(48,32,12)-s(16,40,12)--+
c(32,32,20)s(48,32,20)+c(40,24,12)-s(24,24,20)-s(40,16,12)+
s(24,32,28)t(24,32,28)c(16,32,12)s(16,16,20)+--s(24,48,12)-
s(48,40,12)t(40,32,12)+s(40,40,20)c(40,24,20)*s(16,40,20)-+
c(40,24,20)t(32,40,28)*c(24,40,20)+s(48,24,20)s(24,32,28)+*
s(8,8,12)c(48,32,12)t(32,48,28)c(24,24,20)-++t(24,40,28)-
s(40,24,20)c(24,24,20)s(32,40,12)s(24,24,20)+*s(8,24,12)-*
c(24,40,20)t(24,16,12)t(32,48,28)+t(24,56,12)-*c(24,32,20)*
s(8,32,12)s(16,8,12)+s(40,40,28)s(24,48,20)-+t(48,48,12)-
s(24,48,20)s(16,32,20)s(40,24,20)c(24,24,12)+--c(24,24,20)-
s(32,24,28)s(16,40,20)c(32,32,12)+t(16,32,12)--t(24,32,28)*
s(32,32,28)c(24,32,20)c(16,40,12)-t(24,48,28)-s(16,16,12)+*
c(32,32,28)t(32,48,28)c(48,48,12)-c(32,24,12)--s(8,48,12)+
c(40,16,12)s(16,48,20)s(24,48,20)+c(32,40,20)c(32,32,20)**+
c(24,24,20)s(16,32,20)+t(24,32,12)-t(40,16,12)c(32,40,20)+*
s(16,24,20)c(32,32,28)*c(24,40,12)+s(40,48,12)+t(40,48,20)+
s(40,16,20)c(40,32,20)t(24,48,28)s(24,48,20)*-s(32,48,20)-*
c(24,32,20)c(40,40,20)s(24,32,28)c(16,40,12)s(24,40,12)+-*-
t(40,24,20)t(24,32,28)s(24,40,20)-s(40,16,20)+*s(32,32,12)+
s(40,8,12)c(40,40,20)+s(48,40,20)s(24,32,28)-*c(48,32,12)+
s(32,16,12)s(32,32,28)t(32,32,20)-+s(32,24,20)*c(32,40,12)+
s(32,40,20)s(48,16,12)s(24,32,28)+*s(48,40,12)-s(48,48,20)-
t(24,24,20)c(32,32,20)c(32,32,28)c(16,16,12)-c(40,24,20)*+*
s(32,24,28)t(24,48,20)+s(48,40,20)+c(48,40,12)-s(32,32,28)-
c(32,24,20)s(32,24,28)s(32,24,12)-+c(24,16,12)s(32,40,12)+*
s(16,40,20)s(16,48,20)t(24,48,28)c(32,32,28)*+*s(16,32,20)*
s(8,48,12)s(16,16,20)c(24,40,20)s(24,24,28)+*s(24,48,12)++
s(32,32,20)c(16,24,12)+c(24,32,20)s(32,40,20)c(24,40,20)***
s(40,24,28)s(24,16,12)s(32,48,20)+-c(32,24,20)s(24,40,12)--
c(48,24,12)s(24,32,28)+t(32,40,28)*c(24,40,20)*c(32,32,20)*
t(32,48,20)s(40,32,20)c(24,32,12)+t(32,24,20)*+c(40,24,20)*
s(16,16,20)c(16,32,12)+s(32,32,20)s(32,16,20)s(40,24,28)*--
s(40,48,20)c(40,40,20)c(24,24,20)s(16,32,20)--t(40,24,20)-*
s(40,32,28)t(32,40,28)*s(40,48,20)+s(24,40,28)t(24,32,28)**
t(32,48,12)s(16,48,12)+s(24,40,28)c(32,32,28)*s(8,40,12)-+
s(40,40,28)s(40,24,28)t(24,16,12)-*t(24,40,28)s(16,32,20)*-
s(40,32,20)s(48,48,12)s(40,16,20)+*t(40,16,12)+c(24,40,20)-
s(40,24,28)s(40,24,20)s(24,40,20)c(32,40,12)-+*t(16,56,12)+
s(40,32,28)c(32,40,20)*c(32,32,12)-c(40,48,12)+s(16,8,12)+
s(32,40,20)s(24,32,20)*t(24,40,20)+s(24,16,20)-t(24,24,12)+
s(24,16,12)c(48,32,12)s(32,32,28)s(32,16,20)*t(40,40,12)+++
t(32,32,28)s(32,48,20)-s(48,24,12)c(24,40,12)+c(24,32,12)--
s(24,32,20)s(8,8,12)s(40,24,28)+c(24,32,20)s(32,48,12)-**
s(40,32,20)s(40,48,12)+s(32,16,20)-t(32,24,20)-t(32,40,12)-
s(48,48,20)c(24,24,12)+s(24,48,20)s(24,32,20)*+s(32,24,12)-
t(48,16,12)c(24,32,20)t(24,40,28)*t(24,32,12)-+s(48,8,12)-
s(48,40,12)t(40,40,20)s(32,24,28)s(40,40,12)-+t(24,48,28)*+
s(32,48,20)c(40,40,20)c(32,32,28)c(40,32,20)s(24,40,20)--*+
t(24,48,28)c(32,40,12)-t(24,32,28)t(32,48,20)+s(24,24,20)*-
c(24,48,12)s(48,40,20)+s(40,24,12)+t(40,40,20)c(48,24,12)--
t(40,32,12)c(24,32,12)c(48,48,12)+s(40,24,20)s(32,40,12)+-+
s(16,32,20)t(40,48,12)+s(24,40,28)s(48,32,20)-s(40,48,20)-+
s(48,8,12)t(32,32,28)+s(32,16,12)t(24,40,12)+-t(24,24,20)+
s(24,40,20)s(16,16,20)+s(24,32,28)-t(32,32,12)+s(40,40,28)+
s(24,24,20)s(32,24,28)s(24,32,28)*s(40,32,28)s(48,40,20)*+*
c(32,32,28)c(32,24,12)-s(16,32,20)-s(48,16,20)s(40,48,20)+*
s(24,32,28)t(32,40,28)c(32,24,20)t(40,32,20)*-c(32,40,20)**
s(48,40,20)t(40,40,20)+t(40,24,20)-s(32,48,12)+c(32,40,12)-
c(40,40,12)s(16,32,20)+t(32,56,12)c(40,32,20)++s(24,40,20)*
t(24,24,20)s(8,24,12)s(24,16,20)+*c(48,32,12)+c(24,16,12)-
s(16,16,12)s(40,24,20)+c(40,32,20)*t(32,32,28)t(24,48,12)+*
s(32,40,28)c(48,32,12)-c(16,48,12)-t(24,40,20)s(32,48,12)+*
c(32,24,12)s(40,40,28)s(32,40,20)c(48,48,12)s(16,32,20)+*-+
s(40,40,28)c(40,24,20)s(40,40,28)*s(40,32,12)--c(24,40,20)*
t(16,16,12)t(40,32,20)s(40,40,28)s(8,40,12)+s(24,16,20)-*+
s(8,48,12)s(32,40,28)+s(32,24,28)s(40,48,20)-s(24,48,20)+*
t(24,56,12)s(40,16,20)+t(24,32,28)s(40,40,28)s(32,32,28)**+
s(24,24,28)s(32,16,20)s(32,8,12)s(32,24,28)t(32,40,28)*+**
s(32,32,28)c(40,48,12)-c(32,32,12)s(8,24,12)+*c(40,16,12)+
s(40,40,28)t(32,48,28)*s(32,40,28)c(16,40,12)c(32,24,12)+-*
s(16,32,20)s(48,16,20)s(16,32,12)c(40,16,12)++c(24,32,20)*-
t(32,48,28)c(24,24,20)s(16,40,12)-+c(24,40,20)*s(32,16,20)-
s(24,40,28)s(24,32,20)-s(16,32,12)s(16,48,20)s(24,40,28)*+*
s(32,40,28)t(32,40,12)s(16,40,12)+s(32,24,20)s(16,24,20)*+*
s(40,24,20)s(32,32,20)t(24,24,12)-+c(32,32,12)-s(40,32,12)+
s(32,32,20)s(24,24,20)t(16,32,12)-+s(24,16,12)-c(32,16,12)+
t(16,32,12)s(40,24,28)+s(8,40,12)s(24,24,28)s(32,8,12)-++
s(32,24,20)c(32,40,20)t(32,40,28)s(32,16,12)+*+c(32,40,20)*
t(48,32,12)s(16,48,20)+t(24,48,28)t(24,48,12)c(16,48,12)+*-
s(24,24,28)s(40,16,12)s(32,32,12)+*s(32,24,28)s(40,48,20)-*
s(32,32,20)t(16,40,12)-s(48,32,20)c(32,32,28)*t(40,48,20)+*
c(16,48,12)s(40,24,20)+t(24,40,28)c(32,40,12)s(8,32,12)++-
s(32,32,20)t(32,24,12)s(16,24,20)s(24,32,28)*+t(24,48,28)--
s(48,24,20)s(40,40,28)+c(24,24,20)*s(32,48,12)+t(32,40,28)*
s(32,24,12)c(16,16,12)+c(40,40,20)t(40,56,12)--s(24,24,20)*
s(40,24,28)t(24,40,20)t(32,40,28)*-s(32,24,20)*t(24,16,12)-
c(40,48,12)s(48,32,20)c(40,40,20)*+s(32,48,20)c(32,32,28)**
c(32,32,20)s(40,32,28)t(40,40,20)t(16,16,12)t(32,32,28)+*-+
s(24,48,12)s(16,8,12)t(32,48,20)++t(24,48,28)c(24,24,20)-*
s(40,32,20)t(24,48,28)s(32,48,20)*s(24,48,12)--s(48,32,20)*
s(16,32,20)s(24,24,12)t(48,24,12)t(24,16,12)++c(32,48,12)+-
c(16,32,12)t(48,16,12)s(32,24,20)s(16,32,20)-++c(16,16,12)-
s(40,40,28)s(24,40,20)t(40,32,20)-s(40,24,28)+-t(48,24,12)+
s(48,32,20)c(24,24,20)c(32,40,20)*+s(40,40,28)c(40,48,12)--
c(40,32,20)t(16,24,12)+t(24,32,12)-s(24,48,20)-t(40,16,12)-
s(48,48,12)s(32,32,20)c(24,40,20)*+s(32,24,28)s(40,24,28)**
s(8,40,12)s(32,24,28)+s(32,8,12)-c(16,24,12)s(16,40,20)+-
t(48,32,12)s(32,40,28)t(32,40,28)-+c(32,24,20)+t(40,40,20)-
s(32,16,20)s(16,48,12)s(16,8,12)+c(16,16,12)+-t(48,16,12)+
c(32,32,20)s(40,32,20)*s(40,32,28)t(40,48,20)-t(24,32,20)-+
s(32,40,28)s(40,32,20)*t(24,48,28)t(16,40,12)--s(24,24,20)+
s(48,32,20)t(24,24,12)c(40,40,12)+s(32,16,20)t(48,56,12)++*
s(24,24,28)c(40,40,20)s(24,32,20)s(32,24,20)-s(40,24,28)+**
s(24,16,12)s(40,32,20)s(8,40,12)++s(32,24,20)s(32,8,12)-*
c(24,32,20)c(32,32,20)s(32,40,28)+*c(16,16,12)+s(16,40,12)-
s(32,32,28)t(24,24,12)-s(40,32,20)-t(24,40,12)-t(16,32,12)-
t(40,32,20)c(48,48,12)+c(32,40,12)+s(40,24,28)c(24,24,20)*-
s(40,16,20)s(24,40,28)t(24,40,28)-c(48,32,12)+s(40,40,28)*-
s(16,40,20)c(24,40,20)s(24,24,28)c(24,32,20)*s(40,24,20)+*+
c(32,40,20)t(48,56,12)c(32,40,20)+c(32,24,20)s(24,32,12)--*
s(24,32,20)s(24,40,28)s(8,24,12)c(24,48,12)+*s(32,24,28)-+
c(32,24,20)s(24,48,20)c(40,24,20)t(24,32,20)-+*c(24,32,12)+
c(40,48,12)s(32,32,12)s(48,24,12)++s(48,32,20)c(40,40,20)**
s(40,16,20)s(40,24,28)c(32,24,20)**s(24,32,12)+c(32,32,12)-
s(32,40,20)t(24,24,12)-s(40,32,20)s(40,16,20)-t(32,24,20)+*
c(16,48,12)s(24,32,28)t(32,40,28)*s(32,40,28)s(16,40,20)-++
s(24,24,20)t(32,48,20)t(32,40,28)+c(48,32,12)+s(24,40,20)-+
s(32,48,20)s(32,32,28)t(48,32,12)c(16,24,12)t(32,32,20)++*+
c(32,40,20)c(32,32,28)c(24,32,20)-s(48,32,20)t(24,40,28)-+*
s(32,24,28)s(24,40,12)-s(40,40,28)s(24,32,28)*-c(48,40,12)-
s(40,24,28)s(40,24,20)t(40,24,12)-t(32,32,12)-t(24,40,28)--
s(40,16,20)c(40,40,20)s(40,40,28)s(32,32,20)**-s(48,32,12)+
s(32,24,28)t(24,32,28)c(24,32,20)*t(24,24,20)*t(16,48,12)+*
s(40,24,28)s(24,40,12)-c(40,24,20)s(40,40,28)**c(24,40,20)+
t(32,40,28)c(32,24,20)-t(24,48,12)s(16,48,20)t(32,48,20)-++
s(48,48,20)c(40,32,12)+t(32,48,20)+s(24,32,28)-s(40,8,12)+
c(32,32,28)s(48,40,20)c(40,24,20)*-t(24,40,20)-s(48,8,12)+
c(32,40,20)s(32,24,28)*s(16,16,20)s(40,48,20)+t(32,48,28)++
c(40,16,12)s(40,40,28)s(8,24,12)+s(40,24,20)*+s(40,40,28)*
t(24,24,20)c(24,40,20)t(24,24,12)-s(40,32,28)s(32,40,20)+*-
s(24,32,28)t(32,48,28)c(40,40,20)t(24,32,20)c(32,48,12)+-++
s(24,24,20)s(40,40,12)+c(24,40,20)+c(24,32,12)s(32,16,20)+*
s(24,8,12)t(32,16,12)+c(48,32,12)+s(48,16,20)-s(48,24,12)+
s(16,48,20)s(24,40,28)s(32,48,12)-t(24,56,12)+s(16,24,12)-*
s(40,32,28)s(16,16,20)-s(40,40,28)t(24,48,12)-+c(24,24,20)-
s(40,32,28)s(48,32,12)-s(16,40,20)-s(40,40,28)*s(40,24,28)*
s(40,48,20)s(32,40,20)t(48,56,12)+c(32,24,12)+*s(48,48,20)+
c(32,40,12)c(32,48,12)+c(40,40,20)s(40,48,20)c(48,24,12)+**
t(24,32,28)s(16,16,12)-s(24,24,28)s(8,24,12)-s(40,16,12)-+
t(40,24,12)s(16,32,12)+s(40,32,28)+c(24,48,12)-s(48,32,20)*
t(16,56,12)c(40,24,20)c(32,40,12)+s(40,32,28)*+c(32,24,12)-
s(24,16,20)c(24,24,20)s(16,40,20)c(32,32,28)*+*t(32,48,28)-
c(24,24,20)t(40,24,12)s(16,32,20)++s(24,40,28)-s(24,24,20)+
s(32,16,20)s(40,32,12)-c(32,32,28)s(48,40,20)*+s(24,24,28)-
s(32,48,20)s(48,24,12)c(24,32,20)s(24,16,20)s(48,16,20)--+*
t(32,32,12)c(24,32,20)t(32,40,20)*c(16,24,12)+t(24,32,20)*+
c(40,40,20)s(48,40,20)*s(24,40,28)+s(24,48,12)c(32,24,12)+*
s(24,40,28)t(16,24,12)-t(24,32,28)-s(32,16,20)s(16,16,20)*+
s(48,48,12)s(40,32,12)+s(24,16,20)c(40,24,12)-+s(48,40,20)*
c(24,40,20)s(32,24,20)s(24,32,20)+*c(32,32,20)s(8,16,12)+*
s(32,24,20)s(16,16,20)s(24,16,20)t(24,56,12)+*-c(24,24,20)*
s(24,24,28)t(32,56,12)+s(40,40,20)-s(24,40,28)*s(16,16,12)-
c(32,32,20)t(16,32,12)-s(16,32,12)s(32,40,20)+c(24,32,20)*-
c(40,24,20)s(48,24,20)s(24,40,12)+*s(24,24,28)c(40,24,20)*-
s(16,48,20)s(16,32,12)s(32,40,20)++c(40,40,20)s(32,48,12)--
c(40,24,20)s(48,32,20)s(16,16,20)+s(8,8,12)-s(48,40,12)-*
c(32,24,20)t(48,16,12)-s(48,48,20)s(40,40,20)*t(24,32,20)+*
s(40,40,20)s(40,32,28)c(24,40,20)*s(24,32,20)*t(48,40,12)+*
s(40,32,28)s(32,24,28)*c(32,32,20)s(24,16,20)-*t(24,32,12)-
s(24,24,28)s(32,40,28)s(40,40,28)*s(40,40,20)t(32,16,12)+**
c(24,40,12)s(24,8,12)+t(16,24,12)+t(24,48,28)-s(32,40,12)+
c(24,32,20)s(24,24,28)s(24,48,20)s(40,8,12)+*s(16,24,20)+*
s(32,40,20)c(40,40,20)s(48,16,12)+c(32,32,20)*+s(32,24,28)+
s(48,24,20)s(40,32,20)t(32,40,28)*c(48,48,12)+s(48,16,12)+*
c(40,48,12)c(48,16,12)s(32,16,12)++s(16,48,20)s(24,48,12)-+
t(24,48,12)c(32,32,12)s(40,32,12)+t(32,40,28)*+t(48,16,12)+
s(32,24,28)s(24,32,28)*s(24,40,20)t(16,40,12)s(40,40,28)+**
c(32,40,20)s(48,24,12)t(48,56,12)+-c(48,48,12)-s(16,40,20)*
t(40,40,20)s(16,32,12)+c(40,32,12)-t(40,48,20)-t(48,24,12)+
s(32,48,12)s(24,16,20)+c(32,32,28)*s(48,32,12)c(32,48,12)+-
s(16,48,20)t(16,56,12)-t(40,16,12)+c(48,24,12)s(24,48,20)+*
c(24,24,20)s(32,32,28)s(32,16,20)*t(24,48,20)+t(32,48,12)-*
t(32,56,12)c(16,24,12)+t(32,40,28)s(40,48,20)c(40,32,12)--+
s(24,32,28)s(24,24,12)-c(24,16,12)+s(24,40,20)-s(16,16,20)*
s(48,48,20)s(24,40,20)c(24,40,12)s(48,48,20)+*s(48,40,20)+*
t(32,32,28)s(24,32,28)c(32,32,20)s(24,48,12)t(16,32,12)+-*-
c(40,40,20)t(32,48,28)t(24,32,20)-*s(16,32,12)+c(32,32,12)+
s(24,16,20)c(16,40,12)s(40,32,28)++c(24,24,20)c(16,32,12)--
s(32,16,20)s(24,24,28)s(48,48,20)+s(32,32,28)+*s(40,24,12)-
c(16,32,12)t(24,40,28)s(32,16,20)s(16,16,20)*++s(32,24,28)-
s(24,40,28)c(40,48,12)-t(32,48,28)c(32,48,12)s(40,24,28)+*-
c(32,40,20)s(8,40,12)+s(40,48,20)c(24,16,12)+c(32,32,28)**
c(32,48,12)s(16,16,12)+s(8,24,12)-s(16,32,20)c(32,40,20)+*
t(32,16,12)s(16,48,20)t(24,40,12)-+t(24,48,20)+s(24,32,20)-
c(40,32,20)t(24,40,28)-t(40,48,20)c(40,32,20)s(24,24,28)-+*
c(24,40,20)t(32,48,28)*s(24,48,20)c(40,24,12)+s(32,24,12)-*
s(32,24,28)t(24,32,28)c(32,32,20)+s(16,32,12)-*s(40,40,28)*
c(32,32,28)s(48,32,20)*s(24,24,28)+c(24,40,20)t(24,32,28)*-
s(32,32,28)s(24,40,20)s(16,40,20)t(40,40,12)s(48,32,12)++**
t(32,16,12)s(32,48,20)t(24,48,28)*s(48,16,20)t(32,24,20)-++
t(24,48,28)t(32,40,28)t(32,48,28)*+s(40,16,12)c(32,40,12)+*
s(24,40,20)t(24,24,20)+c(40,48,12)t(16,16,12)+s(16,24,12)--
s(24,24,28)s(32,16,20)s(8,32,12)s(40,16,20)s(24,32,20)++**
s(16,16,20)s(40,40,28)t(32,48,28)-+c(40,16,12)+s(32,24,20)-
s(16,24,20)s(32,24,28)s(24,32,28)*s(24,32,20)*s(48,24,20)-*
s(8,48,12)c(24,24,20)t(40,40,20)-+s(40,32,20)t(32,32,12)--
s(16,24,20)s(24,48,12)c(24,24,20)+s(24,48,20)+s(40,32,28)-*
s(48,48,20)s(40,32,20)-t(24,48,28)c(32,40,20)t(32,32,20)-*-
s(48,40,20)s(24,24,28)c(40,24,12)-s(48,40,12)t(32,48,12)++-
t(24,32,20)s(40,40,28)c(24,40,20)s(32,24,28)**+s(48,32,20)-
s(40,16,20)t(40,40,20)t(40,24,20)+s(40,24,12)-s(32,16,12)+-
t(40,56,12)s(32,40,20)+c(32,32,12)-c(32,40,20)t(32,40,28)**
s(40,32,28)s(24,40,12)c(32,32,12)+-s(48,48,20)+t(40,48,12)-
t(32,32,28)s(32,40,20)s(24,40,20)t(32,40,28)*s(8,32,12)+**
s(24,16,20)s(32,48,20)s(24,32,20)+s(24,32,28)s(24,24,28)***
t(24,40,20)t(24,48,20)+s(24,24,12)-t(16,24,12)+s(24,48,20)+
c(32,40,20)t(40,24,20)+s(24,24,20)+c(40,32,20)*s(32,48,20)-
c(24,32,20)c(24,24,12)s(24,48,20)t(32,40,28)*+c(32,24,12)-*
t(32,32,20)s(32,40,12)s(16,24,20)++s(32,24,20)t(40,24,20)*-
t(24,40,20)s(32,40,28)t(40,32,20)*+s(32,48,20)s(24,40,28)*-
c(32,24,20)t(24,32,28)s(24,16,20)t(32,48,28)+*c(32,32,20)**
c(40,32,12)t(16,32,12)+t(48,16,12)+t(24,32,28)s(32,40,20)-+
c(24,24,20)s(32,16,20)c(32,24,20)s(24,32,28)c(40,40,20)**+*
c(32,40,20)c(32,40,20)t(32,48,28)s(16,16,12)+*s(48,40,20)+*
c(24,40,12)c(24,24,20)+s(40,24,28)c(32,40,20)*-s(16,32,12)-
c(24,40,20)s(40,24,28)c(40,24,20)c(24,24,12)+t(48,48,12)+**
s(32,40,28)s(48,40,20)s(32,40,28)*-s(24,32,28)*s(32,24,20)+
s(32,32,28)t(24,32,28)s(40,40,28)+*t(24,32,28)*t(32,40,28)*
s(8,24,12)t(24,40,28)s(16,24,12)-+s(24,40,28)*t(24,32,20)*
s(16,32,12)t(48,40,12)+s(32,32,28)s(32,40,28)*t(40,32,20)*+
s(32,24,20)s(32,32,28)t(32,48,28)s(32,40,20)**s(32,24,12)--
t(16,16,12)c(24,40,20)s(32,32,20)*+s(24,32,12)s(16,40,12)+-
s(48,32,12)t(24,48,20)t(40,24,20)++s(32,24,12)s(24,48,12)+*
s(32,48,20)t(24,56,12)s(32,32,28)+t(32,40,12)-s(24,32,12)-*
s(32,32,20)c(24,40,20)t(24,40,12)s(40,32,20)+s(16,48,20)+**
s(40,8,12)s(32,16,20)s(16,48,20)+s(40,24,28)*s(32,40,28)*+
s(32,40,20)s(32,32,20)s(32,24,12)-*c(40,24,12)+s(24,24,28)*
s(24,24,20)s(8,32,12)-s(40,24,28)t(24,32,28)*s(48,16,12)++
s(40,48,20)s(32,24,28)c(40,24,12)-s(32,40,20)-+s(24,40,28)*
s(32,24,28)c(40,48,12)+s(16,32,20)+s(40,16,20)t(24,56,12)+*
s(40,32,12)c(32,40,20)t(40,32,12)c(48,40,12)++t(32,48,28)*+
s(48,24,20)s(32,24,28)s(24,24,12)c(40,40,20)+*s(48,48,20)-+
t(32,32,28)s(40,32,20)+s(32,48,12)+s(40,48,20)-s(40,32,28)*
s(24,32,28)s(40,32,28)s(40,16,20)c(16,24,12)+*-s(48,32,20)-
c(24,32,20)c(32,32,20)c(32,40,20)+s(16,40,12)-*t(24,32,12)+
c(40,32,20)s(24,32,20)t(24,48,28)t(32,32,28)*--s(24,32,12)-
s(16,40,20)s(16,32,20)+s(16,24,20)c(48,16,12)+*c(32,32,28)*
c(24,40,12)s(8,32,12)c(40,24,20)+s(40,24,12)-c(16,40,12)-+
c(24,24,20)s(40,24,28)*t(32,40,28)c(32,40,20)c(32,24,12)-*-
c(32,32,28)s(40,48,20)*s(32,24,28)s(24,40,28)*s(48,48,20)+*
s(24,16,12)s(48,32,20)+s(32,24,12)-s(24,24,20)s(40,48,12)+-
s(40,32,20)t(32,16,12)+s(32,32,28)s(48,24,20)+c(24,16,12)-+
s(32,16,12)s(24,48,12)+t(24,32,28)s(40,16,20)+s(40,32,28)--
s(16,24,20)s(32,24,28)t(24,48,28)-t(24,24,20)++c(48,40,12)-
t(40,24,12)c(16,24,12)t(24,56,12)+s(32,24,20)-+s(40,32,20)-
c(24,40,20)s(16,16,20)+t(32,24,20)c(24,40,12)--s(48,48,20)-
c(40,32,20)s(16,32,20)s(32,40,28)c(24,32,20)c(40,32,20)++*-
t(40,40,20)t(32,32,20)+c(40,40,20)s(32,32,28)c(48,24,12)---
c(24,48,12)s(48,48,12)+s(24,40,12)-t(40,32,20)c(40,48,12)-+
s(32,24,20)t(32,40,28)s(32,48,20)-t(40,40,20)+c(32,40,20)*-
t(40,48,20)t(40,40,20)s(32,40,20)*s(24,8,12)+t(24,24,20)-+
s(24,24,28)s(40,40,12)-s(32,48,20)s(40,24,12)+s(24,40,28)*-
c(32,32,20)c(32,32,12)s(40,48,20)s(24,48,20)*s(8,40,12)++-
s(24,32,28)s(24,40,28)s(16,32,20)*s(40,32,20)c(24,40,12)-+*
s(40,48,20)c(40,40,20)s(16,24,12)s(40,24,12)+-*s(48,24,12)+
s(40,32,20)s(48,40,20)s(24,32,12)+s(32,48,20)s(48,32,20)+**
t(32,48,28)s(40,40,28)t(32,32,28)t(24,48,28)+*s(40,48,20)**
s(16,32,20)s(32,32,20)*c(24,24,12)+c(32,32,20)s(40,32,28)**
s(24,32,20)s(32,40,28)*c(16,24,12)t(40,32,20)+s(16,32,12)+*
s(24,16,20)c(32,32,20)+c(40,24,20)-s(8,8,12)-c(40,32,20)+
t(32,48,20)s(24,48,20)s(40,24,28)c(32,24,12)c(16,48,12)+*+*
c(24,40,12)t(32,16,12)+s(24,24,28)s(16,32,12)-t(16,32,12)+*
s(24,40,20)t(32,32,20)c(24,32,20)s(8,24,12)-c(40,16,12)-*-
c(40,32,20)s(48,32,12)c(24,24,20)s(24,40,28)++s(16,16,12)-*
s(24,40,20)s(24,32,20)t(32,32,20)+*t(24,32,28)s(16,32,20)**
s(8,16,12)c(32,40,20)t(32,24,12)-s(40,24,28)-+s(16,40,12)-
s(40,32,28)t(24,48,28)s(32,40,20)+-t(48,48,12)-s(32,32,28)*
s(16,32,12)c(32,40,20)s(32,48,20)s(40,40,20)c(32,40,20)*+*+
s(48,24,20)c(32,24,20)*s(8,40,12)+c(16,40,12)t(40,24,12)+-
s(32,16,20)s(48,16,20)c(40,24,20)t(24,56,12)+*s(24,32,28)--
c(48,40,12)t(24,48,28)+s(40,16,20)s(48,32,20)-s(24,32,20)-+
s(32,16,12)s(40,40,28)s(32,32,28)*s(24,24,28)*t(32,48,20)-+
s(16,24,20)s(40,32,12)+s(40,40,12)-s(40,32,28)+s(24,16,20)*
t(40,24,12)t(48,56,12)+s(24,32,28)t(16,16,12)-c(40,48,12)-+
s(40,16,20)t(32,32,28)s(40,48,20)t(48,48,12)s(32,16,12)++-+
s(40,32,28)t(32,24,12)-s(24,24,20)s(40,48,20)+t(32,24,20)-*
c(24,32,20)s(40,32,12)c(40,32,20)c(40,40,12)t(40,24,12)+-+*
s(48,24,20)c(40,32,20)t(24,40,28)-*t(40,40,12)+c(40,24,20)*
c(24,16,12)t(32,40,28)t(24,40,28)*s(24,48,20)s(24,40,20)**+
s(48,40,12)s(32,16,20)t(24,32,28)c(32,24,20)s(8,16,12)++*+
s(32,32,28)c(32,24,20)t(48,56,12)+c(48,32,12)s(32,40,12)+*-
t(40,24,12)s(16,48,20)s(24,32,20)c(32,32,28)t(24,48,20)-+-+
s(16,40,20)s(32,40,28)c(32,16,12)s(48,48,12)+-c(24,16,12)+*
s(24,8,12)s(16,48,12)+c(16,32,12)+t(48,16,12)t(24,40,20)+-
t(24,48,12)t(32,32,20)s(40,32,20)+s(32,32,20)*+c(40,24,20)*
s(24,32,28)c(32,24,20)-s(48,16,12)+s(24,24,20)c(32,32,12)--
c(24,40,12)s(40,24,28)+s(40,32,28)s(48,16,20)-*s(16,32,20)-
s(24,16,20)s(48,40,12)+s(24,24,28)t(32,40,28)c(32,48,12)--*
c(16,48,12)s(48,24,20)+s(48,16,20)*s(32,40,28)s(24,32,20)+-
s(32,40,20)t(32,48,28)t(32,16,12)t(24,48,28)+**t(32,32,20)+
c(24,32,20)t(24,24,20)-s(32,32,20)c(48,24,12)-c(48,48,12)-+
s(32,32,28)s(48,32,20)-s(16,48,12)+s(40,32,20)-s(16,16,12)-
t(40,40,20)s(24,32,28)s(48,32,20)c(32,32,28)*-+s(16,24,20)-
c(24,48,12)c(32,32,20)+c(48,16,12)c(24,16,12)+c(32,48,12)+*
s(40,24,20)s(24,40,20)c(40,40,20)*s(40,16,12)+*t(40,48,12)+
s(48,48,20)s(40,16,12)t(24,32,28)s(48,32,20)++s(40,16,12)-*
c(16,16,12)t(40,48,20)+c(40,24,20)t(40,24,20)s(48,16,20)+-+
c(32,32,28)s(32,32,28)c(40,48,12)--s(40,24,28)*c(40,40,20)+
s(32,48,20)t(24,32,28)c(32,40,20)c(48,24,12)-*s(48,40,20)--
s(32,24,28)c(48,48,12)s(16,16,20)t(32,16,12)++c(32,24,12)+*
c(32,40,20)t(32,32,28)*c(24,24,20)t(24,40,12)-c(40,32,20)*-
c(32,32,20)s(24,16,12)+s(24,24,20)c(40,24,20)c(48,24,12)-+*
t(40,24,12)t(24,48,28)s(24,40,20)t(40,56,12)+*t(24,32,28)*+
s(32,24,20)c(24,24,20)*c(40,48,12)s(24,32,28)+c(16,32,12)-*
s(24,32,20)s(24,32,28)t(16,56,12)+s(16,48,12)-c(24,40,20)**
c(32,32,12)t(48,24,12)+s(32,48,12)-s(24,48,20)+c(24,40,20)*
s(48,40,20)s(40,24,28)t(32,48,28)s(40,40,28)c(24,40,12)-*+*
s(32,16,12)s(16,40,20)s(24,16,20)-+t(32,40,28)*t(24,48,28)*
s(32,24,28)c(32,32,28)s(16,48,12)-s(24,32,20)-t(40,48,12)--
c(32,24,20)t(48,16,12)-t(40,32,20)t(24,48,28)--t(32,24,20)-
s(32,40,20)t(24,40,28)s(16,24,20)t(24,32,20)+*-c(40,40,20)*
t(40,48,12)s(40,32,12)+t(24,40,28)t(40,48,20)-+c(16,48,12)-
c(32,32,28)c(40,24,20)-s(40,24,12)t(16,32,12)+t(32,48,28)+*
s(16,40,12)t(24,32,20)t(40,56,12)++t(32,48,28)s(32,32,20)+*
t(32,40,28)s(48,48,12)-c(48,16,12)t(32,24,12)++t(24,48,28)+
s(32,48,20)s(16,24,20)s(40,32,28)c(32,40,20)*c(48,24,12)++*
s(40,32,28)s(16,48,20)s(24,24,28)t(24,48,20)+*t(40,32,20)+*
s(24,24,20)s(40,24,28)*s(24,16,20)t(16,32,12)+*s(24,8,12)+
t(24,32,28)s(24,24,28)s(32,40,28)s(24,48,20)+s(40,32,28)***
s(48,32,20)t(48,48,12)s(24,48,20)s(24,40,20)*+-s(48,24,12)-
s(40,40,28)t(24,40,28)t(40,32,20)+t(24,32,20)s(24,40,20)*-+
s(40,32,28)t(24,24,20)c(16,48,12)+c(40,16,12)+*s(32,32,12)-
s(32,48,20)c(40,32,20)-c(32,40,20)+s(32,32,28)*s(32,40,12)-
s(16,24,20)s(32,32,20)t(32,48,28)+-s(24,40,12)+s(8,40,12)-
s(24,32,20)s(32,24,20)+t(24,40,12)-s(40,24,20)-t(24,16,12)+
t(24,48,12)c(40,24,20)t(32,48,28)t(24,32,20)-s(24,40,28)+-+
s(24,16,12)s(48,16,12)s(24,16,20)+s(40,48,20)+t(32,48,20)*+
t(32,40,28)c(24,24,20)s(16,24,20)+*s(16,8,12)+t(32,32,20)*
s(32,40,28)t(16,32,12)c(40,32,20)+t(24,32,28)*c(32,24,20)*-
s(48,48,20)c(40,32,12)-t(24,40,28)-s(40,24,28)c(40,24,12)-+
c(24,48,12)t(40,16,12)+s(40,16,20)t(32,32,20)c(40,16,12)+*-
c(32,24,20)s(40,48,20)-s(48,48,20)+c(16,24,12)-s(48,32,20)+
s(32,40,28)s(32,16,20)t(32,32,28)+*t(24,48,28)*c(48,32,12)+
s(16,24,20)c(24,40,20)s(16,24,20)+c(24,16,12)-c(32,40,12)-*
c(32,40,20)t(24,40,20)c(32,32,20)t(24,24,20)+*t(24,32,20)+-
c(16,16,12)s(40,48,20)c(40,32,20)+s(16,40,20)-+c(32,24,20)-
t(32,48,20)s(24,40,20)t(24,40,28)*+s(40,32,28)*s(32,8,12)+
c(32,32,20)s(48,16,20)-s(16,24,12)c(32,16,12)++s(48,16,20)-
s(16,48,20)t(24,48,28)t(40,48,20)-s(32,8,12)+*s(32,24,20)-
c(40,48,12)c(32,32,20)+t(24,40,20)s(40,32,28)+*t(40,32,20)-
s(32,48,20)c(48,48,12)c(32,32,20)c(24,48,12)++*c(24,32,20)*
s(40,32,20)c(32,48,12)-t(24,40,12)s(40,48,12)c(32,48,12)++-
s(24,48,20)t(16,56,12)-s(40,24,28)c(48,24,12)-c(24,32,20)*-
s(40,32,28)s(40,24,20)c(40,40,20)s(24,48,20)*t(40,24,12)++-
s(32,32,20)c(32,48,12)-c(32,24,20)s(32,32,12)-s(24,16,12)-+
t(32,48,28)t(40,16,12)+t(24,48,28)s(16,32,20)+*s(32,40,12)-
s(16,32,12)t(24,32,20)+t(24,16,12)t(24,24,12)t(24,48,28)++*
c(16,32,12)c(32,32,20)c(16,16,12)-+s(32,48,20)s(16,32,12)+*
s(24,40,28)s(48,32,20)t(40,32,20)*-s(40,24,20)t(32,32,28)*+
s(32,16,20)s(24,24,28)s(16,8,12)-s(32,32,28)s(48,16,20)+**
s(24,24,20)c(32,24,20)s(48,24,20)s(40,32,28)+*+s(48,32,12)-
t(32,40,28)s(48,24,20)s(32,32,28)*-t(32,40,20)+s(24,24,20)-
s(48,40,20)t(32,32,28)s(24,32,28)c(40,32,20)*c(40,24,12)+*+
s(40,40,28)t(24,32,28)t(24,16,12)-c(40,40,12)c(40,32,12)+--
c(32,32,28)c(16,16,12)c(32,32,12)+s(40,32,12)-*c(40,48,12)+
s(40,24,28)c(48,32,12)-s(16,48,20)+t(40,56,12)+s(16,24,20)*
c(24,24,20)c(32,24,20)*t(24,40,12)-c(40,48,12)+c(16,40,12)+
s(32,32,28)c(16,48,12)-t(24,40,28)+c(24,24,20)*s(32,32,20)*
t(24,32,28)t(32,48,28)*t(24,48,28)s(24,40,20)*+c(24,32,12)-
s(48,32,12)c(24,32,20)s(40,40,20)*+t(24,40,28)+t(32,32,28)*
t(48,24,12)s(24,40,28)s(24,24,28)*c(40,40,20)*t(24,40,28)++
t(24,48,28)c(32,32,20)s(24,24,28)*t(40,32,12)-s(40,32,12)-+
s(16,32,20)c(24,24,20)s(24,16,20)*-c(32,40,12)-t(32,56,12)+
s(8,40,12)s(32,32,20)+s(24,40,28)c(24,24,20)+s(24,48,20)-*
s(32,40,20)t(40,40,20)t(32,48,28)s(40,40,28)s(40,24,20)-+*+
s(40,40,28)c(32,24,12)-s(16,40,20)c(32,32,12)--c(32,40,20)*
c(24,24,20)s(8,40,12)t(32,32,28)+s(40,16,20)-s(32,32,20)*-
c(24,40,20)s(24,24,28)t(48,16,12)+s(16,32,20)*s(32,24,12)-*
c(24,40,20)s(40,32,20)*s(24,48,12)s(24,16,20)t(24,24,20)*++
s(24,32,28)s(24,32,28)s(48,24,20)-s(24,16,20)-t(48,24,12)++
c(32,40,20)s(32,32,28)s(48,8,12)s(24,40,20)+t(32,48,20)-*-
c(24,24,20)t(48,16,12)c(32,32,12)s(24,24,20)+s(40,32,28)*+-
c(24,24,20)s(48,32,20)+s(32,40,28)*c(32,40,20)c(40,40,12)-*
s(48,40,20)c(40,40,20)s(32,32,28)*s(16,48,12)c(48,16,12)++*
t(24,48,28)c(24,32,20)s(40,40,28)c(24,40,20)+s(48,32,20)-**
t(24,40,28)t(24,48,20)-s(48,48,20)c(32,32,12)--s(40,48,20)-
s(32,32,28)t(32,40,28)s(40,32,20)t(24,48,20)---s(8,48,12)+
s(32,48,12)t(32,32,20)s(32,16,12)-+s(32,32,28)c(40,16,12)-*
c(40,24,20)c(24,32,20)*s(24,48,20)-s(16,40,20)+s(32,24,20)*
c(32,24,20)s(8,40,12)+t(24,32,28)t(32,32,20)*s(16,32,20)+*
s(16,48,20)s(16,48,20)c(32,40,20)*s(32,16,12)+t(40,40,20)--
c(32,32,20)s(32,40,28)*s(8,40,12)c(32,32,20)s(40,24,20)-+-
t(24,40,28)t(32,40,20)s(24,8,12)+s(48,24,20)-c(32,48,12)+*
c(32,32,28)s(24,40,28)c(16,16,12)+*c(32,32,20)-c(32,48,12)-
s(40,24,20)t(32,24,12)t(40,16,12)t(24,48,20)++s(32,40,12)+*
t(32,48,12)s(32,24,20)s(40,32,20)c(16,24,12)+t(32,32,12)--+
c(40,24,20)s(24,24,28)t(24,32,28)c(40,32,12)-*t(32,48,28)--
s(40,24,20)c(32,24,20)t(24,40,12)s(24,8,12)+t(40,24,12)++*
s(32,40,28)c(40,40,20)*t(24,32,20)+s(48,24,20)+s(40,40,20)-
s(16,40,20)t(48,16,12)c(32,40,20)t(32,32,28)s(16,32,12)-*+-
t(32,48,28)s(48,32,20)s(40,24,28)*s(48,40,20)t(32,40,12)-*+
c(16,48,12)s(32,32,20)s(24,24,28)*+c(16,24,12)-s(40,40,28)*
s(40,40,28)s(24,24,20)t(24,24,20)t(32,40,20)c(48,40,12)-++*
s(32,24,28)s(32,40,28)s(40,24,28)c(24,40,12)+t(32,32,20)--+
s(16,32,20)s(48,48,20)c(32,40,20)t(32,40,12)-s(48,24,20)-++
s(32,40,20)s(16,48,20)t(32,32,20)+s(32,40,20)*t(32,24,12)+*
c(16,16,12)t(24,40,28)s(48,32,20)-+c(32,40,20)*s(40,16,20)+
s(16,32,12)c(48,48,12)+t(24,32,28)s(40,24,28)*s(16,40,20)+-
s(40,40,28)c(48,48,12)-s(32,32,20)c(48,32,12)-c(40,24,12)--
s(8,24,12)t(40,32,20)+s(40,32,20)s(32,24,28)*s(24,40,20)+*
s(24,24,20)c(40,32,20)-c(48,48,12)+c(16,16,12)-s(16,48,20)+
s(24,48,20)t(32,24,20)s(24,8,12)-+s(40,40,20)c(24,40,20)**
s(40,48,20)s(24,32,20)-t(40,48,20)+s(48,32,12)t(40,48,20)+*
c(24,48,12)s(32,8,12)+c(16,40,12)s(32,40,20)+s(16,40,12)--
t(16,40,12)t(40,48,20)t(32,40,28)t(48,16,12)+*+s(40,48,20)*
s(40,40,20)s(40,32,20)s(40,48,20)s(40,24,12)t(24,40,28)+---
c(24,24,20)c(24,24,20)c(24,32,20)+t(40,16,12)c(24,24,12)+*-
c(24,40,20)s(24,16,20)-s(24,32,28)s(32,24,28)**s(16,8,12)+
s(48,40,12)c(24,24,20)t(24,40,28)t(16,56,12)+-+t(24,24,20)-
c(24,24,12)c(40,40,12)+s(40,40,28)*s(32,8,12)c(24,40,20)+*
t(32,32,28)t(32,48,28)-s(16,48,20)t(24,32,28)c(40,32,20)*-+
s(24,40,20)c(40,24,12)t(48,56,12)t(24,48,20)++c(24,16,12)+*
s(40,40,20)c(40,32,12)c(48,16,12)t(48,48,12)+t(40,40,12)++*
s(24,32,28)s(24,24,20)s(24,40,28)+t(24,48,28)*s(32,40,20)**
t(32,40,28)s(40,32,28)s(8,16,12)c(40,24,20)+*s(32,16,20)+*
s(24,24,20)s(24,32,20)t(24,40,28)*s(8,48,12)s(48,24,20)+--
c(24,24,20)c(24,32,20)*c(24,16,12)c(24,40,20)s(40,32,20)-+*
c(24,24,20)c(40,40,12)+s(32,40,28)s(40,16,20)-*s(24,16,20)-
s(40,32,20)t(24,24,20)+c(32,32,20)*s(40,40,28)s(48,32,20)*-
s(24,24,12)t(32,40,28)t(32,40,12)-c(24,32,12)-c(40,40,20)*+
s(40,32,28)c(48,32,12)c(40,32,12)+-c(24,40,20)s(8,32,12)-+
c(32,32,28)s(16,8,12)c(16,48,12)+c(24,24,12)+s(24,8,12)-*
c(40,24,20)s(32,32,20)s(32,40,28)t(24,32,28)**+c(32,24,12)-
s(16,8,12)s(24,32,28)+s(24,40,28)c(16,40,12)c(16,32,12)+-*
s(40,32,28)s(24,32,20)*s(32,32,20)s(48,48,20)-c(32,40,20)*+
s(32,40,28)s(16,40,12)-s(32,8,12)s(32,32,28)s(32,24,28)*+*
c(32,32,20)s(32,24,12)-c(16,40,12)-c(24,32,20)t(48,48,12)+*
c(32,40,20)s(24,40,20)s(32,16,20)s(48,24,20)+t(40,24,12)--*
s(24,32,28)t(32,40,28)*s(48,24,20)+c(32,40,20)*s(32,40,12)-
c(24,40,20)c(40,32,20)s(24,24,20)--s(40,32,28)+c(24,32,20)-
s(40,32,12)t(32,48,28)t(24,48,28)s(16,24,20)s(24,48,20)+**+
s(40,24,28)c(32,40,20)c(24,24,20)t(24,40,12)-+t(24,32,12)-+
s(24,40,28)c(24,32,20)*s(48,48,12)s(24,40,20)t(24,40,28)*+*
s(48,16,20)s(32,24,20)t(48,40,12)s(16,24,20)+t(32,32,28)*++
s(40,40,28)t(40,16,12)t(24,48,12)s(40,48,20)s(32,24,12)+++*
s(48,24,20)s(32,32,28)t(32,24,12)-+s(40,40,20)s(32,40,20)**
s(40,24,28)c(40,40,12)s(32,16,20)s(40,16,12)-c(32,24,20)*+*
s(16,16,20)s(32,32,28)s(32,48,12)-+c(32,32,20)*t(32,32,20)-
t(32,48,20)s(32,40,28)s(8,48,12)c(40,32,12)+-s(24,40,28)**
s(24,24,20)s(16,32,20)s(8,48,12)-*t(24,48,28)t(32,24,20)--
c(24,32,20)c(32,32,12)t(24,40,28)+*s(8,8,12)+c(40,40,12)-
t(40,40,12)t(24,40,28)+t(40,48,20)t(32,40,12)-+c(32,32,28)*
c(24,40,20)s(24,24,28)c(24,40,12)s(32,24,20)+s(24,24,20)+**
c(24,32,20)s(24,32,28)s(16,40,20)--t(48,32,12)s(32,48,12)+-
s(40,40,28)t(32,48,28)s(16,40,20)t(40,24,12)s(48,40,20)++*-
t(24,32,28)s(48,48,20)-s(40,40,20)c(48,48,12)-s(48,16,20)--
s(32,24,28)s(24,24,20)s(48,40,20)s(16,32,20)+s(24,32,20)-+*
s(32,40,20)t(32,40,28)t(48,48,12)s(16,40,12)+-*t(40,48,12)-
s(16,16,20)c(32,40,12)+t(40,40,12)-s(40,24,28)*c(40,24,12)+
s(24,32,28)s(32,48,20)s(16,32,20)s(40,24,12)+-t(24,40,12)+-
c(32,40,20)s(16,16,20)s(24,24,20)c(32,48,12)+c(32,32,20)*-+
c(16,48,12)t(48,24,12)+c(40,32,20)s(40,8,12)s(32,32,20)+*-
t(24,32,28)s(40,40,20)+c(32,32,20)c(40,40,20)*s(16,16,20)+*
s(24,32,28)c(16,24,12)-t(40,32,20)-s(24,16,20)s(8,8,12)--
c(40,24,20)t(24,40,12)s(40,40,20)+*s(32,16,20)+s(48,48,12)+
s(24,32,20)s(16,24,20)c(24,32,20)s(16,16,12)s(32,16,20)+---
t(40,24,20)s(24,48,20)c(48,40,12)t(40,48,20)+s(32,40,28)*-+
t(24,56,12)c(48,16,12)+s(40,24,20)s(24,24,20)-s(48,40,20)++
s(40,24,28)t(40,32,20)c(40,48,12)t(24,48,20)+t(40,40,20)++*
s(32,32,20)c(32,32,28)s(48,40,20)s(16,32,20)+**s(40,24,12)+
s(48,8,12)s(24,40,28)s(40,48,20)*t(24,56,12)t(16,40,12)+-+
s(32,40,28)c(32,48,12)-s(40,32,12)c(32,40,12)++t(24,40,28)-
t(40,24,20)t(32,48,28)s(16,32,20)-+t(16,56,12)-t(32,24,12)-
s(24,48,20)t(32,40,12)c(40,32,20)s(24,40,20)-+s(48,24,12)--
s(32,48,20)s(32,40,20)t(32,40,12)--s(32,40,20)t(32,40,12)-+
s(16,24,20)s(8,16,12)-s(24,48,20)+s(40,40,28)*c(16,40,12)-
t(32,40,28)s(16,16,20)s(40,32,20)+*s(24,40,28)*t(40,24,12)+
t(32,48,28)t(32,32,28)s(16,16,12)+s(40,16,20)s(40,32,20)*++
s(24,24,20)c(32,24,12)-t(24,32,28)s(40,32,28)s(16,16,20)-*+
s(40,16,20)s(40,24,28)c(24,32,20)*c(40,32,20)*s(40,24,12)+-
c(40,24,20)c(24,24,20)t(32,16,12)-*t(24,40,28)+s(40,32,20)*
s(40,48,20)s(40,24,20)-s(32,32,20)s(24,32,20)s(16,24,12)-++
s(32,32,28)s(24,24,20)*s(16,48,12)c(32,24,20)c(24,32,20)*+*
s(40,40,20)s(48,16,20)c(40,24,20)t(40,48,12)+*-t(24,24,20)-
s(32,40,28)s(40,40,28)c(40,32,20)*s(16,48,20)++s(48,32,20)*
s(24,24,20)s(24,8,12)s(24,32,12)+*t(24,48,28)+s(32,48,20)-
c(24,16,12)c(40,32,12)+t(24,24,12)s(48,16,20)+-s(32,24,12)-
s(32,32,20)s(24,32,28)s(32,16,12)-t(16,48,12)-c(16,16,12)-*
c(16,40,12)s(40,40,20)s(48,48,12)s(8,24,12)+-s(24,40,20)*+
s(40,48,20)c(32,32,28)s(24,48,20)s(48,40,20)-s(24,32,28)+--
s(40,24,12)c(32,32,12)+c(32,48,12)-s(16,40,20)s(48,32,20)+*
s(40,40,28)s(32,48,20)c(40,24,20)-s(16,40,12)-t(16,40,12)+*
t(32,40,28)t(24,24,12)+c(24,24,20)t(48,24,12)+t(16,32,12)-*
c(32,32,20)t(24,40,28)t(40,32,20)s(40,40,20)++s(32,32,12)-+
c(32,40,20)t(16,40,12)-s(40,32,20)c(40,40,12)-s(8,16,12)+-
t(40,48,20)s(48,16,20)t(32,32,28)s(48,32,20)+s(48,24,20)*+-
c(40,48,12)c(48,24,12)+t(48,32,12)s(40,16,20)+s(32,24,20)*-
t(40,48,20)c(32,32,12)+c(32,40,20)s(40,48,20)**c(16,32,12)+
s(48,24,20)s(32,40,20)s(40,24,20)+s(24,24,20)c(24,32,20)**-
t(24,48,28)s(16,48,12)s(32,32,20)+t(24,32,28)s(24,24,28)**-
s(40,32,28)t(32,32,28)s(24,32,28)c(40,24,20)c(32,40,20)+*+*
s(48,24,20)t(32,40,28)+s(48,32,20)c(40,32,20)t(48,48,12)-*-
c(40,24,20)c(32,24,20)c(32,40,20)s(24,40,28)s(32,24,20)-+**
s(16,24,20)s(32,40,20)+s(24,32,20)*s(32,32,20)*t(24,16,12)-
s(16,32,20)s(16,32,20)s(24,8,12)+s(16,24,20)**s(40,32,20)-
s(40,24,28)c(24,24,20)t(32,24,12)-*s(24,32,28)s(32,32,28)**
s(40,48,12)s(40,40,12)+t(24,40,28)+s(24,24,28)s(24,8,12)--
s(40,16,20)s(40,32,20)c(40,24,20)c(32,24,20)+*s(16,8,12)+*
t(32,40,20)s(48,48,12)+t(32,32,28)c(24,40,20)s(32,32,28)**+
s(16,40,20)s(24,40,28)s(48,40,20)s(16,32,12)+t(24,48,28)--*
c(32,40,20)s(40,40,20)s(32,24,12)-c(32,32,28)s(24,24,28)*--
s(40,32,28)s(16,32,12)+s(40,48,12)s(24,24,28)+s(32,8,12)-*
s(32,32,28)c(40,16,12)c(40,32,20)t(32,24,12)-t(32,40,28)*+*
t(48,40,12)t(24,32,28)+t(32,48,28)t(24,32,20)--s(32,32,20)*
s(24,32,20)s(32,32,20)t(32,24,12)s(48,32,20)s(48,40,20)*+*-
c(40,24,20)s(24,40,28)s(24,24,28)*t(32,32,12)-s(16,24,12)--
s(32,32,28)s(24,24,28)c(32,40,12)s(16,24,12)+*s(32,48,20)+*
t(48,24,12)t(32,56,12)c(24,32,20)++t(16,32,12)-s(32,48,20)*
s(40,40,28)c(40,40,20)t(32,24,20)-s(32,32,28)*s(16,40,20)+*
s(32,24,20)s(48,16,12)c(40,16,12)s(16,48,12)+++c(32,40,20)-
s(24,32,28)t(24,48,28)s(32,24,20)+t(24,48,28)c(32,40,12)--*
s(40,32,20)c(24,24,20)-s(16,48,20)t(32,48,28)-+s(24,32,20)+
t(32,48,20)c(24,40,20)s(8,40,12)c(40,40,12)+*c(24,16,12)++
s(32,24,28)c(24,32,20)t(32,24,12)-t(16,24,12)--t(16,24,12)-
t(40,56,12)s(24,40,20)+t(24,40,28)c(24,32,12)--s(16,40,12)-
s(24,40,28)t(40,40,12)-s(16,24,20)s(16,16,20)*-t(32,48,20)*
c(24,24,20)t(32,24,20)t(24,32,12)--c(40,32,12)t(32,24,12)+-
s(40,48,20)t(24,48,28)+s(48,16,20)t(32,40,28)-s(40,24,20)+-
s(32,40,28)t(32,32,28)t(32,48,12)s(24,24,12)+c(40,40,12)-+*
s(24,40,28)s(32,32,20)*s(32,40,20)s(24,48,12)-+s(16,24,12)-
c(24,32,20)s(40,24,28)+t(40,40,20)-s(48,24,20)*t(48,32,12)-
s(16,48,12)c(32,40,20)+c(16,40,12)-s(24,32,28)c(40,16,12)-+
s(16,40,12)t(24,48,20)s(24,24,12)+t(24,40,20)-+t(48,40,12)+
c(48,40,12)s(40,16,20)c(32,32,20)-+t(48,24,12)-s(40,24,28)*
s(16,24,12)c(40,32,20)+c(24,24,20)s(24,40,28)*s(32,16,12)-*
s(24,24,28)c(32,40,12)-t(24,32,28)-t(32,32,28)s(32,24,28)*-
c(32,24,20)s(48,24,12)s(48,48,12)++s(32,32,12)s(24,48,20)+-
s(48,40,20)s(48,24,20)+s(32,48,20)-s(24,24,28)-s(48,16,20)*
s(24,48,20)s(40,32,28)s(40,24,28)*s(48,32,12)t(24,32,28)+*-
s(32,24,28)s(16,16,20)s(32,8,12)c(32,40,20)+s(48,32,12)-+*
s(16,48,20)t(40,16,12)+t(24,48,28)c(16,48,12)s(8,40,12)++*
t(24,32,28)s(24,40,20)*s(32,24,20)+t(24,16,12)-c(24,40,20)+
s(48,32,20)c(32,40,20)+c(16,40,12)-s(24,24,20)-c(40,24,20)-
s(32,24,20)t(24,32,28)s(48,48,20)-+s(8,40,12)s(40,24,12)+*
s(32,32,28)t(32,48,28)c(48,40,12)c(32,40,20)s(32,24,28)-+*+
t(24,32,28)t(24,40,20)*c(32,32,28)t(24,48,28)c(24,32,20)*-+
t(32,40,28)t(32,32,12)-t(40,24,20)+s(48,32,12)-c(32,40,20)*
t(32,32,28)t(40,24,20)+c(32,16,12)-s(32,16,20)c(32,24,20)*-
t(16,32,12)s(32,48,20)t(16,48,12)++t(24,40,28)*s(32,40,20)*
t(40,24,20)s(16,32,20)s(16,8,12)++t(24,32,28)-c(32,32,28)*
c(32,40,20)s(32,40,28)s(48,32,12)t(24,32,20)+*c(32,48,12)-*
t(40,40,12)s(24,16,20)t(24,40,20)++s(24,40,12)s(16,16,20)+*
s(40,48,20)s(32,40,28)c(24,24,20)t(40,40,20)-*+t(16,16,12)+
s(48,16,20)c(32,16,12)-t(32,40,28)c(32,24,20)+-t(48,56,12)+
s(48,32,20)s(48,16,20)t(32,32,28)c(24,32,20)*s(40,32,20)*-+
c(24,40,12)s(24,40,20)s(48,48,20)-s(8,8,12)+c(32,32,20)*+
c(40,40,20)c(16,24,12)s(48,48,12)+-c(32,32,12)-c(48,40,12)+
s(24,40,20)s(40,40,20)t(32,24,20)+s(32,32,28)*s(24,16,12)-*
t(32,32,12)s(48,8,12)+s(32,40,20)+t(24,24,20)-t(40,40,20)+
s(40,16,12)t(16,24,12)+s(40,16,12)c(32,40,12)++s(40,32,28)*
s(32,40,28)s(32,32,28)c(16,16,12)s(32,32,20)+*+s(32,16,20)-
c(24,24,20)s(40,24,20)s(40,16,20)*s(24,24,20)t(24,16,12)-+*
c(24,24,20)t(32,32,28)+s(40,40,28)t(48,48,12)-t(32,48,28)-+
c(32,24,20)t(24,40,28)c(24,40,20)s(24,24,28)*s(32,24,20)*--
c(24,32,20)t(32,24,12)s(32,48,20)+s(48,40,20)t(40,16,12)++*
t(32,32,28)t(24,32,20)t(40,32,12)c(24,16,12)++*c(24,40,12)-
s(48,24,20)s(32,40,20)c(32,32,12)-+s(16,24,20)c(32,32,20)+*
t(40,24,20)s(24,40,28)+c(40,40,20)s(32,40,28)*s(8,32,12)+*
s(40,24,20)c(24,24,20)s(24,48,20)s(40,32,20)+-c(24,32,20)+*
s(40,40,20)c(32,24,20)s(32,40,28)*s(48,40,12)-+s(32,16,20)-
s(32,48,20)s(40,24,12)c(32,32,20)s(32,32,12)s(32,24,12)+-+-
s(40,40,20)t(24,32,20)-s(24,40,28)s(32,40,12)-t(40,24,20)-+
c(24,32,20)t(24,32,28)+t(24,48,28)s(32,40,28)**s(32,24,12)-
c(32,32,28)t(40,24,20)s(24,16,20)+*s(32,24,20)*t(24,32,28)+
s(32,40,28)s(24,48,20)-t(40,40,12)-t(24,56,12)+s(32,32,28)*
c(24,32,20)c(40,40,20)s(40,40,28)s(16,48,20)-*c(32,32,20)*-
s(32,40,20)c(24,32,20)s(32,24,20)*c(40,24,20)*s(24,40,12)+*
t(24,56,12)s(24,24,28)+s(32,40,28)t(16,56,12)s(24,40,20)+**
s(24,40,28)c(32,32,12)-s(32,24,28)s(32,16,20)--s(32,24,20)-
s(40,32,20)c(40,32,20)t(32,40,28)+s(32,48,12)-s(40,16,20)**
s(24,16,20)s(48,32,20)s(24,40,20)c(24,32,20)*+-c(32,32,28)*
t(32,48,20)s(40,24,28)s(32,40,20)s(40,32,20)s(16,32,20)-+-+
t(32,56,12)c(48,40,12)t(32,32,28)+t(24,48,28)*s(48,40,12)++
c(40,32,12)c(24,32,20)s(16,40,20)-s(32,32,20)+s(40,40,20)*+
c(16,40,12)t(16,32,12)t(40,40,20)+s(48,24,20)s(48,32,20)*-+
s(32,32,28)s(48,16,12)s(16,24,20)+s(32,24,20)s(48,40,20)+**
c(16,16,12)s(40,16,12)+t(40,32,20)+c(24,40,20)-s(24,32,28)*
c(24,32,20)s(24,24,28)s(24,16,12)-t(40,40,12)t(24,56,12)+-*
c(24,24,20)c(32,24,20)*s(40,40,20)t(48,24,12)t(24,32,20)++*
s(32,40,20)c(24,32,20)*s(24,40,28)s(8,24,12)-s(48,24,20)-*
s(24,24,28)t(24,24,12)-t(24,40,12)-c(24,24,20)s(32,16,20)-*
s(16,32,20)c(48,40,12)s(32,40,28)s(32,32,28)s(48,40,20)+*+*
s(32,32,28)c(24,32,12)-s(40,24,28)c(40,32,20)s(24,40,12)-*-
s(48,32,20)c(40,24,20)*c(40,32,20)s(32,40,28)s(48,8,12)+**
s(16,8,12)s(40,32,20)s(24,24,20)c(48,16,12)+s(24,24,12)-++
c(24,40,20)s(48,24,20)s(40,32,28)s(32,32,28)c(24,40,20)**+*
t(24,40,12)s(8,48,12)s(32,40,12)++t(32,32,20)s(24,32,20)*-
s(32,40,20)t(24,16,12)c(40,40,20)t(24,40,20)-+s(32,8,12)++
t(24,48,20)c(40,40,20)+c(40,16,12)+t(32,24,12)-s(48,24,20)*
t(40,24,20)s(32,32,12)c(48,16,12)++c(48,16,12)t(16,48,12)+*
c(40,24,20)s(48,32,20)*s(24,40,28)s(24,24,20)*s(32,24,20)*+
s(8,32,12)c(32,24,12)s(16,32,12)c(40,24,12)+t(32,32,20)-++
s(24,40,28)s(40,32,12)s(8,48,12)+c(32,40,12)+*s(32,16,20)+
c(32,32,20)s(32,40,20)t(32,48,28)*-t(32,40,20)+s(48,40,20)-
c(40,24,20)s(40,32,28)s(48,48,20)t(32,32,20)-+*s(24,40,20)-
c(16,40,12)t(24,24,20)+s(32,16,20)s(24,16,20)+s(8,24,12)++
s(16,16,20)s(32,32,28)t(24,32,28)*+t(40,48,20)-c(32,32,20)-
t(16,24,12)c(32,40,20)+c(24,32,20)*t(24,56,12)+s(16,16,20)-
t(40,16,12)t(32,32,28)c(24,24,20)*+t(40,32,12)-s(16,40,12)-
s(40,24,20)s(24,8,12)s(40,16,20)s(32,16,20)*+*t(48,40,12)+
c(40,32,20)c(32,32,28)s(24,16,12)s(40,16,12)+s(16,8,12)+-*
s(32,40,28)t(32,40,12)-t(32,48,20)t(24,24,20)+*c(24,40,12)+
c(16,40,12)s(40,8,12)+s(16,32,20)c(32,40,20)s(24,40,20)*++
s(32,16,20)c(32,32,28)t(32,48,28)+*t(40,40,20)+c(32,32,20)*
t(40,48,12)t(32,24,20)c(16,16,12)-c(40,32,12)+t(24,24,20)-+
s(24,24,20)c(48,40,12)+t(24,24,12)-s(32,16,20)+s(32,24,28)*
c(24,24,20)c(24,32,20)c(40,32,20)c(32,32,12)-+*s(40,32,20)+
s(48,48,12)s(16,48,20)+s(16,16,20)+c(24,32,20)s(32,40,28)**
s(8,40,12)s(40,24,28)s(24,40,28)s(8,24,12)-c(24,32,20)**+
t(40,24,12)s(24,16,20)s(32,8,12)-s(32,40,28)s(40,24,20)*-+
s(48,16,20)s(24,32,20)t(40,24,20)s(40,40,12)--t(40,40,20)-+
s(16,24,20)s(48,24,20)c(32,40,12)t(48,32,12)t(24,32,12)+++-
t(32,32,20)c(16,48,12)+s(8,32,12)+s(40,32,28)t(32,24,20)*-
c(16,40,12)t(24,40,28)s(32,32,20)+t(32,32,12)-s(32,16,20)-+
s(40,48,20)s(40,24,28)c(32,32,20)*c(40,24,20)c(40,32,20)**-
s(24,16,20)s(24,16,12)-s(16,24,20)+s(24,24,20)*s(48,48,12)+
t(48,40,12)t(40,48,20)t(32,40,28)s(24,32,12)-s(40,16,20)-*+
s(32,48,20)s(16,40,20)c(32,40,20)+c(40,40,20)*s(40,32,12)-*
t(40,24,20)t(16,16,12)+t(48,32,12)+t(24,40,28)s(32,48,20)*+
s(48,24,12)s(32,40,28)s(24,48,20)*s(40,40,28)s(16,48,20)--+
t(40,24,20)c(32,40,20)s(16,16,20)c(16,32,12)t(24,40,28)++*-
s(24,32,12)c(24,16,12)s(48,24,20)+t(48,16,12)-+c(24,40,12)+
t(24,40,28)c(40,40,20)c(24,24,20)-s(40,32,20)s(32,16,12)++*
s(40,16,20)t(16,40,12)+s(24,16,12)-s(40,32,28)s(48,16,20)**
s(40,48,20)s(32,16,12)c(40,48,12)++t(24,40,20)t(24,32,28)*-
t(16,16,12)t(24,16,12)+s(16,32,12)+s(32,32,28)s(24,40,20)--
s(40,40,28)c(32,48,12)s(16,32,20)+*s(24,48,20)+t(24,24,12)-
s(24,48,20)s(32,40,28)+s(32,32,28)t(40,40,20)-+s(40,48,20)-
c(32,32,20)t(32,40,28)t(32,48,20)-t(40,40,20)s(40,24,28)+**
c(40,32,20)c(32,16,12)c(40,48,12)s(48,40,20)+s(32,40,20)*+-
s(40,24,20)c(24,24,20)*t(32,40,20)+s(24,40,20)s(40,32,28)**
s(40,24,20)s(32,32,12)c(16,24,12)+s(40,40,28)+*s(32,40,28)*
s(24,24,20)c(32,32,12)+c(32,32,20)*s(24,40,28)t(40,32,12)-*
s(48,8,12)s(24,40,12)t(40,40,12)++c(32,24,12)s(40,16,12)+-
s(48,40,20)c(32,24,12)s(40,8,12)+s(32,40,28)t(24,32,12)-+*
s(8,32,12)s(32,32,28)s(24,32,12)-+t(32,16,12)-c(24,32,20)*
s(8,40,12)s(32,40,20)t(40,40,12)-s(40,16,20)c(40,24,20)*-+
s(40,24,20)c(24,32,20)s(48,40,12)+t(24,24,20)s(48,40,12)+--
s(16,48,20)s(40,32,20)s(16,32,20)t(24,40,28)*+c(40,16,12)+-
t(24,40,28)s(16,48,20)-t(24,40,28)s(32,32,28)*t(40,24,20)-+
s(24,32,20)s(48,24,12)c(32,32,20)s(24,32,28)c(16,16,12)-*+*
c(16,48,12)s(32,32,28)+t(32,48,20)c(32,16,12)+*t(32,32,28)*
s(40,40,20)s(24,40,28)s(8,24,12)s(32,48,12)t(24,32,20)++-+
c(24,40,20)t(16,40,12)-t(32,32,28)-c(32,24,20)s(40,32,28)*+
s(40,48,12)t(32,32,20)s(8,32,12)+t(32,32,28)*+t(24,48,28)-
t(32,40,28)s(16,24,12)+c(16,24,12)t(32,48,12)t(24,24,20)++*
t(24,48,20)s(16,16,20)s(32,16,20)*+t(32,48,28)*s(24,24,20)+
s(24,40,20)t(32,32,12)-s(40,32,28)t(32,48,28)c(24,32,20)*--
t(16,48,12)c(32,32,20)c(24,48,12)-+s(48,32,20)t(32,32,12)-*
c(48,16,12)s(48,40,20)s(24,40,28)s(40,32,28)*s(32,24,20)*-+
s(48,48,20)s(32,40,28)s(24,40,28)s(40,32,28)-*c(40,24,20)+-
s(32,24,28)s(40,16,20)*s(40,32,20)s(48,48,20)-s(32,32,20)*-
t(32,48,28)c(32,40,20)t(32,24,20)s(40,16,20)+s(40,40,20)--*
s(24,32,12)c(32,24,20)s(16,24,20)-s(24,24,20)-+t(40,40,20)+
t(32,32,28)c(24,16,12)s(48,16,20)+s(32,32,12)+s(16,8,12)+*
s(40,40,20)s(40,32,28)c(24,32,20)--s(48,32,12)+t(32,32,20)-
c(32,24,20)t(32,32,20)-c(24,40,12)+t(16,24,12)-c(48,16,12)+
t(32,40,28)c(32,40,20)s(32,24,28)t(24,32,28)c(24,32,20)**-*
c(40,32,20)s(24,32,28)*s(24,48,12)-s(16,8,12)t(32,40,28)+*
s(24,32,20)s(40,40,20)s(32,24,20)-s(40,32,28)s(16,24,20)-*-
t(24,48,20)s(40,40,28)s(40,32,20)-t(16,32,12)++s(32,40,20)*
t(32,24,20)c(40,24,20)s(16,32,12)+t(32,32,20)s(32,16,12)+--
s(48,40,20)s(48,48,12)c(40,32,12)+s(48,32,20)*t(40,16,12)+*
t(32,40,28)c(32,24,20)t(32,40,12)-t(32,40,20)s(16,24,12)+-+
c(24,48,12)s(16,40,20)+s(32,16,20)s(32,24,28)c(40,40,20)-*+
c(40,40,20)c(32,40,20)c(16,32,12)-*s(40,24,28)s(32,32,20)*-
c(32,24,20)c(24,40,20)t(40,32,12)s(16,48,12)+*-c(40,40,20)-
c(40,24,20)s(16,32,12)c(32,16,12)s(32,32,20)++*s(24,24,20)*
s(32,24,20)c(40,24,20)*s(40,32,20)c(24,32,20)s(8,48,12)++*
t(48,24,12)s(24,16,20)+c(24,24,20)*t(40,48,12)s(16,16,12)+-
c(24,32,20)s(32,32,28)s(48,24,12)-*t(40,48,20)-s(40,32,28)*
t(40,24,20)s(48,32,12)+t(32,48,12)+c(32,24,20)+s(40,24,28)*
t(32,48,28)s(32,32,28)t(32,16,12)-c(48,24,12)-c(48,40,12)+*
c(32,32,20)s(48,32,20)s(16,8,12)t(16,56,12)++t(24,48,28)+*
c(32,32,20)c(16,48,12)-s(32,40,28)*c(32,32,20)s(32,16,20)*-
s(16,24,20)t(24,32,20)s(32,40,28)*c(40,32,20)s(32,16,20)-+-
t(32,48,28)t(48,56,12)t(48,16,12)+-t(32,40,28)*t(32,48,20)*
c(32,32,28)s(24,32,28)c(24,40,20)*s(8,24,12)+*s(16,16,20)-
s(16,40,20)t(32,32,28)t(40,48,20)c(16,32,12)+c(32,40,20)*--
s(32,48,20)c(32,32,28)s(24,24,28)*c(40,24,20)c(16,24,12)+*+
s(32,32,20)s(24,40,28)c(32,32,28)*c(32,48,12)-*c(32,40,20)*
t(24,32,28)s(32,16,12)t(40,48,20)++c(40,24,20)c(24,40,20)-+
s(24,24,20)t(32,56,12)s(16,32,12)c(40,48,12)s(8,40,12)+++-
c(24,40,20)s(8,32,12)t(24,48,28)+c(40,32,20)c(32,24,20)*-+
c(24,40,20)s(40,32,28)*t(40,48,20)+s(24,16,20)-t(24,32,20)-
s(32,40,20)s(40,24,20)s(32,24,12)-s(32,32,20)t(40,32,12)---
s(16,24,12)c(32,32,28)s(16,48,20)s(40,8,12)+-s(48,24,20)*+
t(24,24,20)c(32,40,20)t(24,48,28)s(24,48,20)t(32,48,20)--*-
t(40,24,12)s(32,40,20)+t(32,40,28)s(40,8,12)+s(40,40,20)--
c(24,40,20)s(16,40,12)-c(32,32,20)c(32,32,28)s(48,40,20)**-
t(40,24,20)s(48,32,12)s(32,24,12)+t(32,32,20)s(24,48,20)++*
s(24,24,28)t(32,32,28)c(40,40,20)-c(32,48,12)+t(40,48,12)-*
c(32,24,20)t(48,16,12)s(24,24,12)+c(48,16,12)+-s(16,40,20)+
t(32,32,28)s(48,32,20)*c(48,24,12)+c(48,24,12)t(24,56,12)+*
s(16,32,20)s(40,16,12)t(16,40,12)+-s(24,40,28)c(32,40,20)*-
s(48,40,20)s(48,32,20)c(24,40,20)s(8,32,12)-s(16,48,20)--*
s(48,16,20)c(16,24,12)+c(40,32,12)+s(48,32,20)t(32,32,28)*-
s(24,40,12)t(40,40,20)c(24,24,12)+s(48,32,12)s(40,24,12)+-+
s(32,32,28)c(32,48,12)c(48,24,12)+s(48,24,20)-t(32,32,28)+*
c(32,24,20)s(48,48,20)-s(16,32,20)*s(16,32,12)+s(40,40,20)+
t(32,56,12)c(40,48,12)+s(16,48,20)c(16,24,12)t(40,24,20)++-
c(32,32,20)c(32,40,20)s(8,8,12)s(40,32,28)s(32,24,20)*+*-
c(24,32,12)s(48,32,12)c(24,32,12)+c(40,24,20)*+c(32,16,12)+
s(16,24,12)s(48,16,20)s(32,40,28)t(32,48,12)-+s(40,48,20)-+
t(48,16,12)c(40,40,20)s(40,40,12)-s(48,48,20)s(16,24,12)+*+
c(16,24,12)c(32,32,20)c(40,40,20)s(32,16,20)-s(32,40,20)**+
s(32,32,28)t(24,40,28)+s(40,40,28)t(48,24,12)-s(24,32,20)-*
s(32,48,20)s(48,32,20)s(48,40,20)t(32,32,28)s(24,24,28)*---
c(32,32,28)s(16,40,20)-t(24,24,12)t(40,48,20)+*s(40,16,12)+
c(24,24,12)s(32,40,12)t(16,24,12)+s(16,48,20)-+s(24,16,12)-
c(32,40,12)s(40,8,12)+t(32,24,12)+c(32,32,20)t(16,16,12)+*
t(48,16,12)s(40,40,28)s(40,32,12)-s(40,24,28)*+c(32,24,20)*
t(24,32,20)s(40,32,28)t(32,16,12)-t(48,48,12)s(16,48,20)+-+
t(32,40,28)s(32,24,20)t(40,24,20)*-c(16,48,12)-c(32,32,12)+
t(40,32,20)t(24,48,12)t(24,32,20)+s(40,40,12)-t(16,56,12)+-
c(24,48,12)t(32,48,28)t(24,48,28)t(32,40,28)s(48,24,20)+*-+
s(24,16,12)c(32,16,12)c(32,40,20)+c(40,40,12)-+s(24,48,20)*
s(24,48,12)s(8,48,12)s(24,40,20)+s(24,24,28)t(40,48,12)+*+
c(16,24,12)c(32,32,12)+c(32,48,12)-t(24,32,28)c(16,16,12)+*
s(40,40,28)s(24,32,28)s(24,32,12)-s(48,40,12)+s(24,48,12)-*
c(24,16,12)s(16,48,20)s(8,40,12)-+t(24,16,12)-s(16,32,20)-
s(24,32,28)s(8,16,12)s(40,32,28)+*c(32,40,20)*t(32,32,28)*
s(24,24,28)t(24,32,28)s(40,32,28)t(48,40,12)-c(40,24,20)**-
s(40,16,20)s(24,16,20)s(32,32,20)-c(40,24,20)+t(24,24,20)*-
s(24,40,20)s(40,48,20)+s(40,40,28)c(40,32,20)s(32,48,12)++*
t(24,56,12)s(32,32,20)c(24,40,20)s(32,24,20)--+t(32,24,20)*
t(32,48,28)s(24,32,28)c(40,24,20)t(24,56,12)c(24,24,12)++*-
t(24,40,20)s(24,48,20)s(32,32,28)t(32,16,12)-*s(16,48,12)+*
s(32,32,28)s(16,16,20)-c(40,48,12)c(16,32,12)+t(16,48,12)+*
t(32,32,28)s(24,32,20)t(24,32,28)**t(16,32,12)t(48,24,12)+-
c(40,24,20)s(48,16,20)s(48,40,20)c(48,24,12)-t(32,32,12)-++
t(40,24,20)s(16,24,20)t(40,24,12)s(24,40,12)+++s(40,40,20)+
c(32,40,12)s(48,40,20)t(32,40,12)+s(32,48,12)t(40,40,20)+*+
t(24,24,20)s(32,48,20)s(24,40,28)s(24,24,12)-*+s(40,32,20)*
s(48,32,20)s(16,32,20)s(24,32,28)c(32,40,20)*+t(32,40,28)*+
s(24,32,12)t(48,40,12)+c(32,32,20)s(32,48,20)s(32,32,12)-+*
s(40,32,28)s(48,48,20)-s(24,48,20)+c(24,48,12)-c(40,32,20)*
t(24,40,28)t(40,24,12)+t(32,32,28)c(32,32,12)-t(48,48,12)++
c(24,48,12)c(32,24,20)s(16,24,20)-+t(16,48,12)-s(24,32,28)*
s(8,48,12)s(40,24,28)s(48,48,20)-s(24,24,28)*c(16,24,12)-+
s(16,16,20)s(16,32,20)s(32,32,20)s(16,24,12)c(40,24,12)++*-
s(24,48,20)s(40,32,20)-s(16,8,12)s(40,32,28)+s(24,32,28)*+
c(32,40,20)t(16,40,12)t(32,48,12)t(24,24,12)++*s(24,16,20)+
t(32,32,12)t(24,48,20)+c(32,32,28)s(8,16,12)s(16,24,12)+-*
c(40,32,20)c(16,16,12)+s(32,32,20)-s(16,32,20)+t(40,32,20)-
t(16,32,12)s(32,40,20)t(40,24,12)-t(32,32,28)*s(32,8,12)++
s(24,24,20)c(32,32,20)c(40,40,12)-s(32,16,20)*+c(32,24,20)*
s(40,32,28)s(16,32,20)c(32,32,28)*t(24,32,28)c(40,40,12)-*-
c(16,32,12)s(48,32,20)+s(16,16,20)s(32,8,12)+-s(48,32,12)-
c(48,32,12)t(32,40,20)s(40,16,20)-+t(24,48,28)t(40,48,20)+*
c(32,40,12)c(48,32,12)+t(32,40,28)*t(24,32,20)+c(24,24,20)*
t(32,40,28)s(48,40,20)s(24,8,12)+c(32,24,20)*-s(16,8,12)+
s(32,24,12)s(16,48,20)+c(24,32,20)c(32,24,20)s(40,32,12)-+*
t(32,48,20)s(40,24,20)+s(24,16,12)s(40,16,12)+t(48,32,12)+*
c(32,32,28)s(40,8,12)c(32,48,12)+-c(32,32,20)c(32,24,20)**
t(40,48,20)s(24,24,28)c(40,24,20)-s(40,24,12)c(48,48,12)+++
s(16,16,20)t(32,40,28)+t(24,32,28)-t(32,32,20)t(40,56,12)+-
s(16,32,20)s(32,32,28)c(40,24,20)*t(32,40,12)s(16,16,20)+++
c(40,40,20)t(24,48,28)c(32,32,28)c(16,40,12)t(48,16,12)+-*-
s(24,16,20)c(24,32,20)s(24,24,20)s(40,24,20)*--s(24,40,28)-
s(40,32,28)c(32,24,20)c(40,40,20)*s(16,32,20)+s(40,48,20)+*
s(24,24,20)c(40,24,20)+c(40,32,20)*t(24,40,20)t(32,40,28)*-
t(32,40,28)t(48,16,12)s(32,32,12)++s(24,48,20)+c(40,24,20)*
c(24,40,20)c(24,24,12)t(24,40,12)++s(16,32,12)s(32,24,20)+-
t(48,24,12)c(24,32,12)+c(40,32,20)c(48,16,12)+s(32,24,28)*+
s(16,16,20)s(48,24,12)+t(32,32,28)s(32,16,12)-s(32,24,20)*-
s(40,16,20)t(24,32,28)+t(40,24,20)*t(24,40,20)+s(24,32,28)*
t(40,40,20)s(24,24,28)s(48,24,20)-+s(48,48,20)s(40,24,20)--
c(40,32,20)t(40,24,12)s(32,40,20)++t(24,24,20)t(40,48,20)+*
t(24,24,20)s(40,40,20)-c(24,24,20)s(40,40,20)s(40,16,12)+*+
t(40,32,20)s(32,40,28)t(16,48,12)-s(24,48,12)-s(40,32,20)**
c(32,40,20)t(24,24,12)t(32,32,28)t(40,40,20)-t(24,48,20)-+-
s(32,32,20)t(32,32,12)s(48,16,20)+s(40,24,20)*t(32,32,20)+*
s(40,16,20)s(40,32,28)*c(40,32,20)*s(24,40,28)s(8,24,12)-+
s(40,40,20)s(32,24,28)c(48,16,12)-c(40,24,20)*s(24,40,28)+*
s(24,40,20)s(40,40,12)-t(24,32,20)+s(40,24,28)c(32,32,28)**
s(40,24,12)s(24,32,20)s(24,16,20)c(24,32,20)-++s(16,32,12)-
s(32,32,28)s(24,48,20)c(32,32,20)s(8,32,12)+-s(16,40,20)+-
c(32,32,28)t(24,48,28)-c(48,16,12)t(32,32,28)s(40,32,28)*+*
c(32,40,20)s(40,40,28)s(48,32,20)*s(24,32,20)+*t(40,40,20)*
s(24,24,28)c(40,40,12)-s(24,16,20)-t(32,32,28)s(16,48,20)++
s(24,32,28)s(24,24,12)-c(32,32,20)*s(24,32,12)-c(24,32,20)*
t(40,32,20)s(24,32,28)s(8,16,12)-t(24,48,28)s(40,24,28)+*+
c(16,48,12)c(32,48,12)+s(24,24,28)t(40,32,20)c(24,32,12)+*-
s(32,40,20)t(16,48,12)+t(32,48,20)c(40,40,12)+s(40,32,28)**
c(32,32,20)c(48,16,12)-s(32,32,28)s(40,32,28)t(32,24,20)--*
s(40,48,20)c(24,40,20)s(40,40,28)-t(32,40,28)++s(40,24,28)*
s(24,32,20)s(40,40,12)-c(32,40,20)+c(32,24,20)*t(32,32,28)*
s(32,40,20)s(40,48,12)-c(24,40,20)*s(16,40,20)t(16,24,12)+*
s(32,40,20)s(40,32,20)s(32,24,12)-c(24,32,12)+*t(40,40,20)+
s(8,40,12)s(40,40,28)t(32,16,12)c(32,32,20)s(32,40,28)*+-+
t(32,48,28)s(48,32,20)t(24,24,20)+s(24,24,28)*+s(40,32,20)*
c(24,24,20)t(32,32,28)s(32,48,20)*-s(40,16,20)s(24,24,28)**
s(32,32,12)c(16,16,12)+s(16,8,12)s(24,32,28)t(32,32,28)*+*
c(32,24,20)t(40,24,12)-s(32,48,20)c(32,32,28)*s(24,24,20)--
c(32,40,20)t(32,40,20)-s(32,40,28)s(32,40,28)t(40,32,20)*-*
c(32,32,28)s(16,24,20)-s(8,8,12)s(32,40,20)s(40,48,20)*+*
c(32,40,20)c(40,40,20)s(40,32,28)*s(32,32,20)s(40,24,20)+**
c(24,24,20)s(32,40,28)s(24,24,28)*s(48,24,20)t(48,32,12)--*
c(40,24,20)s(48,48,20)+s(40,24,28)s(16,32,12)+c(24,40,20)--
s(16,8,12)s(24,40,20)+c(40,32,12)t(32,48,20)+s(8,40,12)+-
t(40,32,12)s(48,48,20)s(48,32,20)t(32,48,12)+*+s(48,24,12)-
s(32,32,28)s(40,32,20)t(32,16,12)t(24,32,20)+-t(24,16,12)+*
s(24,40,28)s(48,40,20)s(32,16,20)+s(24,16,20)--s(48,40,20)+
t(24,40,28)t(32,32,28)*s(8,24,12)+s(24,40,28)t(24,24,20)*-
s(32,32,20)t(40,40,12)-s(32,48,12)s(32,8,12)t(40,16,12)++-
s(40,24,28)s(24,24,28)*t(48,48,12)c(24,32,20)c(32,40,20)*+*
c(40,16,12)s(16,40,20)+s(24,32,20)t(16,24,12)-s(40,24,20)+-
s(32,32,28)t(40,40,20)s(16,48,20)--s(24,40,12)-t(24,32,12)+
s(24,24,28)c(32,32,28)s(40,48,20)t(40,32,12)-s(24,24,28)-*+
c(24,24,20)c(24,32,20)*s(24,16,20)c(40,24,20)+*c(16,32,12)+
s(48,24,20)s(48,16,20)*s(48,32,20)+t(24,40,28)-c(32,32,28)*
s(8,16,12)s(40,24,28)c(40,40,20)s(32,40,28)+-+s(40,8,12)-
s(32,40,20)s(40,24,20)-s(16,40,20)t(16,16,12)++c(40,32,20)-
s(32,24,20)s(24,32,28)s(8,16,12)-*s(40,32,20)+t(40,40,20)*
c(40,48,12)s(24,24,28)+c(32,32,20)s(16,16,20)t(24,40,12)+-*
s(40,32,28)t(32,48,28)s(40,40,28)s(24,48,20)--s(24,40,28)*+
c(40,24,20)c(24,24,20)s(48,16,20)s(32,16,20)*--t(32,40,20)-
s(16,40,20)s(24,32,12)-c(40,32,20)t(24,32,20)c(32,40,20)+*+
s(40,16,20)s(32,24,20)s(32,24,28)c(24,24,20)*+*t(40,40,12)+
s(48,40,20)c(48,40,12)s(32,32,20)s(40,40,28)t(40,24,12)-*+*
t(24,32,12)t(24,48,20)+s(40,24,28)+t(40,32,12)s(16,48,12)+-
t(24,56,12)c(40,40,20)s(48,16,20)-+c(32,40,20)s(40,24,28)**
c(48,16,12)s(16,32,20)+c(40,32,20)*t(32,40,12)t(24,32,12)++
s(32,24,28)s(32,32,20)c(24,32,12)-c(48,48,12)+s(40,40,20)+*
s(48,32,12)c(32,40,20)c(24,32,20)s(48,40,12)c(24,40,20)+*-+
s(32,16,20)s(16,24,20)s(40,32,28)+t(32,48,28)t(24,40,28)++*
t(32,40,12)s(48,24,20)t(40,24,20)*+s(32,40,28)c(24,32,20)--
s(48,40,20)t(32,40,28)s(48,40,12)c(24,40,12)+--c(40,40,20)*
c(48,48,12)c(32,32,20)+s(24,8,12)c(32,24,12)t(24,32,12)++-
s(24,32,28)c(40,32,20)t(32,48,28)-s(40,16,12)-s(32,40,20)+*
s(48,16,20)s(24,24,28)c(32,32,28)*s(24,48,12)+s(40,48,20)--
t(32,40,28)s(32,40,28)t(32,48,28)-+s(40,24,20)s(48,32,20)-+
s(48,40,20)s(24,24,28)+s(48,24,20)-s(24,40,28)*s(32,32,20)*
c(24,40,20)s(16,32,20)c(24,40,20)s(48,48,20)-+*c(24,32,20)*
t(32,32,28)s(16,24,20)-s(32,24,28)s(16,16,12)-s(40,24,28)**
t(40,32,20)s(40,24,28)s(32,24,20)-s(48,48,20)--t(24,48,12)+
c(32,32,20)c(24,32,20)s(40,24,28)*s(48,40,20)c(40,24,20)*--
s(48,32,20)s(32,16,20)s(16,24,20)-s(40,16,20)*c(48,32,12)--
s(24,40,20)t(24,32,28)*s(8,16,12)t(24,24,12)+-s(48,8,12)+
s(40,24,28)s(40,16,12)-s(24,16,20)+s(24,32,28)s(40,48,20)-*
s(32,48,20)s(40,32,28)s(40,48,20)+s(40,40,28)s(24,32,28)*-+
c(32,32,28)t(32,48,20)s(48,16,20)+c(48,32,12)-s(40,32,28)*-
c(32,24,20)s(24,24,20)+s(24,24,20)-t(40,24,12)+c(16,40,12)+
c(40,48,12)s(40,24,20)+s(16,16,20)s(32,24,20)c(24,24,20)*+*
s(40,24,28)c(24,40,20)s(16,48,12)-s(16,16,12)++s(32,32,28)*
s(48,32,20)s(40,32,20)t(32,40,28)s(16,40,20)+t(24,40,12)-*-
s(16,24,12)s(32,32,12)t(32,24,20)+s(24,32,28)*+s(32,40,28)*
s(48,48,20)c(24,24,12)+s(48,8,12)+c(32,32,28)*s(24,32,28)+
s(32,24,20)s(16,24,12)s(24,32,20)s(16,40,20)*+-s(40,16,20)*
s(48,24,12)s(24,48,12)+s(48,24,20)s(16,48,12)c(48,48,12)++*
s(40,32,28)s(32,24,20)s(24,24,12)-c(24,24,20)*-s(32,32,20)+
s(48,24,20)t(32,56,12)c(32,32,20)c(40,32,20)*+*t(32,40,20)+
s(24,48,12)s(16,32,12)t(40,16,12)s(32,32,12)++s(32,24,12)-+
c(48,48,12)t(32,32,20)+t(16,16,12)+c(16,32,12)-s(24,40,28)+
t(48,16,12)s(32,48,12)s(24,40,12)+c(16,16,12)++t(24,24,20)-
t(40,40,20)t(24,40,28)+s(48,24,20)+c(32,24,20)s(32,40,28)*-
s(24,24,20)s(40,16,20)s(32,24,20)c(32,32,20)*+s(24,40,28)**
c(24,32,20)c(24,24,20)t(32,24,12)-s(16,8,12)+c(32,24,12)-*
c(32,32,20)s(24,48,12)+s(40,32,28)s(40,40,20)t(48,24,12)-*-
s(24,24,28)c(24,32,20)c(32,48,12)-s(24,40,28)c(40,24,20)*--
s(32,40,12)s(16,24,20)s(32,24,28)t(40,32,20)t(24,40,20)++*+
s(24,40,28)t(32,32,20)-c(24,40,12)-c(40,32,20)-s(24,32,28)*
s(48,24,20)s(24,24,20)-s(48,48,20)t(48,32,12)+s(40,40,20)*+
s(16,40,20)c(24,40,12)t(40,48,20)+s(32,40,20)*s(16,40,12)--
s(8,16,12)s(16,32,20)s(24,40,20)*+s(32,24,28)+c(32,48,12)+
s(32,48,20)c(48,40,12)+c(32,40,12)s(32,48,20)t(32,56,12)-+-
s(40,40,20)t(16,32,12)t(32,40,20)+c(24,16,12)c(32,32,12)+--
c(32,24,20)s(40,40,12)-c(32,32,20)s(16,48,20)s(24,40,28)*-*
t(24,40,20)s(24,48,20)+s(40,40,12)+t(24,40,28)*c(16,40,12)+
s(24,40,20)s(32,40,28)t(32,32,28)s(40,48,20)t(32,40,28)*-*+
s(48,48,20)t(40,24,20)s(16,8,12)s(32,40,12)++s(40,16,20)--
s(16,24,20)c(32,40,20)s(40,24,12)t(32,40,28)+c(48,32,12)--+
s(32,32,28)s(24,40,20)t(24,32,28)*s(40,32,28)*-t(32,48,28)-
s(48,32,12)s(16,40,20)s(40,40,20)-+c(32,32,20)s(24,48,20)*+
s(40,48,20)t(40,40,20)*s(8,8,12)+s(24,24,20)c(40,32,12)+-
s(32,24,20)s(40,16,12)-s(24,40,12)+s(32,24,28)*s(40,40,28)*
s(48,32,20)s(48,40,20)+t(24,56,12)+t(32,40,28)*c(24,48,12)+
s(48,40,20)s(48,24,20)*t(24,40,28)s(24,24,28)t(16,24,12)--+
t(24,32,28)c(32,40,12)s(32,24,12)s(8,8,12)++-t(16,48,12)-
s(40,40,20)s(32,40,20)*c(32,40,20)t(24,48,28)t(24,48,12)-*-
s(40,40,28)s(32,24,28)c(32,32,12)-s(8,16,12)+-s(32,24,20)-
s(32,16,20)s(40,32,28)s(40,16,12)--s(48,40,20)+s(48,32,12)-
s(40,24,20)t(32,40,28)c(40,32,12)+t(48,48,12)-s(16,48,20)-*
c(32,32,28)s(24,40,28)s(32,32,28)s(8,40,12)+*t(24,48,20)--
s(32,32,12)t(24,48,28)+c(24,24,12)s(48,48,20)+c(24,24,12)--
s(24,16,20)s(16,16,12)s(24,40,28)s(24,24,28)-t(32,40,20)-+-
s(24,24,20)s(40,40,28)-s(8,40,12)-s(40,24,20)s(32,16,20)*+
c(24,24,20)s(8,24,12)s(48,40,20)+-t(32,32,20)s(40,40,28)*-
s(24,24,28)s(32,32,20)s(48,24,12)-c(40,24,20)*-t(32,32,28)+
s(24,24,28)s(40,16,12)-s(40,40,28)s(40,32,28)c(48,16,12)-**
t(32,32,28)c(32,32,20)+c(48,24,12)-s(40,40,28)t(40,24,12)-*
s(48,8,12)t(32,40,20)+s(32,32,28)s(24,40,20)-+s(32,48,20)*
s(48,48,20)s(32,40,20)t(16,32,12)+s(32,32,20)+s(48,40,20)*-
t(48,16,12)c(24,32,20)s(16,24,20)s(16,32,20)c(24,24,20)**-+
s(24,16,12)t(24,40,12)t(32,48,28)c(32,32,28)s(16,32,12)-*++
s(24,8,12)s(32,48,20)c(32,40,12)s(40,32,12)+-+c(32,24,12)+
s(40,40,28)s(24,32,28)s(32,40,28)*s(24,24,28)*t(24,24,12)-*
s(24,24,20)s(16,24,20)s(16,24,12)s(40,16,20)+*s(16,32,12)+*
c(24,32,20)c(32,32,20)s(24,24,20)-+s(16,24,20)s(24,48,20)-*
c(32,16,12)c(24,40,20)+s(40,40,28)*s(40,8,12)+s(32,24,20)*
s(16,24,20)t(32,48,28)c(40,40,20)*t(32,40,28)*t(32,32,28)*+
c(48,16,12)c(24,32,20)s(24,16,20)s(8,40,12)+*s(24,40,28)*+
s(40,32,28)s(24,24,12)-c(24,48,12)t(32,32,20)+-s(16,48,12)+
c(32,32,20)s(40,48,12)-c(40,32,12)c(24,16,12)+*t(32,40,20)+
c(32,40,20)c(32,32,20)t(16,32,12)-t(32,48,20)-+t(32,48,28)*
s(16,16,20)c(32,32,28)c(40,40,20)s(32,48,20)*-s(16,48,20)-*
s(16,32,20)t(32,32,20)-s(16,32,12)s(40,48,20)+s(48,40,20)*+
s(24,24,20)t(24,32,28)+c(32,24,20)*s(48,16,20)s(40,48,20)+-
s(48,8,12)c(24,40,20)+t(32,32,20)-c(32,32,20)c(40,40,20)--
s(16,32,12)s(24,40,28)t(32,32,28)s(24,16,12)++s(16,32,12)-+
t(32,48,28)c(32,32,20)c(40,16,12)+*s(32,24,20)c(32,40,12)-+
t(24,16,12)s(40,24,12)t(24,48,28)++s(24,16,12)-c(40,40,20)*
s(32,32,20)s(48,40,12)-c(48,48,12)s(24,32,20)+t(24,40,28)**
s(40,40,28)c(24,32,20)s(48,32,20)+*t(24,24,20)s(24,16,12)++
s(32,32,20)c(24,24,20)s(40,32,20)*s(16,48,20)++t(16,48,12)-
s(32,32,20)t(24,32,20)t(24,40,12)+*s(24,32,20)s(24,16,20)-+
s(24,32,28)c(40,32,20)t(32,32,28)t(16,16,12)+s(24,32,20)*+*
c(40,40,12)s(40,24,20)s(32,40,28)+s(40,32,28)-+t(24,32,28)*
s(32,24,20)s(40,24,28)c(32,32,28)*t(32,48,20)-c(40,16,12)--
s(40,32,28)t(32,40,28)*c(40,32,20)c(32,32,20)**s(48,16,12)+
s(48,16,20)s(32,40,28)s(40,24,28)*s(24,24,28)t(32,32,28)**-
c(40,40,20)t(24,48,28)s(16,40,20)-c(24,32,20)+-c(48,16,12)+
s(48,24,20)s(8,48,12)s(40,24,28)s(32,40,12)-s(24,40,12)++*
s(40,40,20)t(48,32,12)t(24,56,12)+c(40,32,20)+c(40,24,20)**
s(40,24,28)c(40,16,12)t(32,32,28)t(32,48,28)*+*c(24,40,12)-
c(16,40,12)t(32,48,20)+t(16,16,12)s(16,32,20)+c(24,40,12)-+
s(32,40,20)s(32,48,12)c(32,24,12)+s(40,32,12)-+s(16,24,20)+
s(32,24,28)s(40,32,20)+s(24,40,28)c(32,32,20)*s(32,8,12)+-
c(48,40,12)s(24,24,12)t(32,40,28)++s(40,48,20)-c(48,40,12)+
c(40,32,20)s(32,40,20)*c(32,32,20)s(40,16,20)*-t(32,48,20)+
s(40,40,20)s(48,32,12)-t(24,40,12)t(48,56,12)+-c(48,48,12)+
s(32,16,12)c(32,32,20)t(40,40,20)t(32,40,28)c(24,24,20)*--+
c(40,48,12)s(32,32,12)+s(24,48,20)-t(16,48,12)+t(24,40,28)*
c(40,40,20)s(40,32,28)*t(24,40,28)c(32,24,20)s(48,48,20)+*+
c(16,40,12)c(24,32,12)+s(16,24,12)c(40,48,12)+-s(16,16,20)-
s(24,32,20)t(32,16,12)+s(24,8,12)t(32,32,28)+*s(32,24,28)*
s(16,32,12)t(24,40,28)s(40,40,28)*+t(24,32,20)t(32,32,28)*-
t(32,32,28)s(24,24,28)t(40,40,12)t(24,48,28)+*t(48,56,12)+*
s(24,24,20)c(24,32,20)s(32,32,20)*-t(40,24,20)s(32,40,28)++
s(32,32,20)t(24,40,20)-s(16,24,20)t(32,56,12)++s(40,24,20)+
c(24,32,20)s(24,16,20)s(8,16,12)-+s(16,48,20)+s(16,32,20)-
s(40,40,28)s(40,32,12)t(16,32,12)c(40,32,20)c(32,24,12)-++*
c(24,24,20)s(40,32,12)-c(24,24,12)t(48,24,12)+-t(40,40,20)+
s(8,48,12)c(40,24,20)c(40,24,20)c(48,24,12)-t(24,48,28)+*+
s(32,16,12)c(32,40,12)+t(40,48,20)s(48,40,12)s(24,16,12)+++
t(24,40,28)t(24,48,28)c(40,40,20)+t(40,32,20)-*s(48,8,12)+
s(32,32,28)s(40,48,20)s(24,32,20)-s(32,32,20)--c(24,32,20)*
s(24,32,28)t(48,48,12)+t(32,32,28)-s(16,24,12)-s(32,48,12)-
s(16,24,20)t(24,24,20)s(40,40,12)t(24,48,12)+s(32,40,12)+-*
t(24,32,28)s(32,40,12)-s(40,32,28)+s(32,40,28)*t(40,32,20)*
s(48,32,20)s(40,24,12)s(40,32,20)s(24,24,12)-s(48,24,20)*+*
s(48,32,20)c(40,24,20)*s(40,40,20)s(16,24,12)s(24,48,20)+++
s(48,48,12)s(32,16,20)s(24,16,20)*t(16,16,12)-+s(24,40,28)-
s(40,24,28)c(24,40,20)s(24,24,20)t(24,32,28)+*s(8,16,12)+*
s(40,8,12)s(40,32,28)c(40,40,12)s(32,16,20)+c(40,48,12)-*+
c(40,32,20)s(32,40,28)c(24,32,20)**s(32,16,20)s(24,24,12)-+
s(24,40,28)s(24,24,20)+s(32,24,28)s(32,32,28)*c(40,40,20)**
s(24,24,28)c(16,48,12)+s(24,40,28)c(24,48,12)s(8,8,12)+*-
c(32,32,28)t(24,48,28)*s(24,40,20)*s(40,40,12)-t(24,32,28)+
t(24,24,20)c(40,40,20)c(24,40,20)c(32,32,20)c(40,16,12)-**-
s(40,8,12)s(40,24,12)c(24,32,20)+c(40,40,20)*+s(16,48,20)-
c(24,40,20)c(48,16,12)+c(48,16,12)t(24,24,20)++s(24,24,20)*
t(32,40,28)t(40,40,20)*s(40,24,28)+t(32,40,28)*t(24,40,20)-
c(24,24,12)c(40,40,12)+c(32,32,28)s(32,32,12)s(8,40,12)+*-
t(32,16,12)c(24,40,12)+s(40,24,20)s(32,24,20)*c(16,16,12)++
s(32,24,28)c(40,48,12)+c(24,32,20)*t(32,32,20)c(40,16,12)+*
s(48,16,20)s(32,16,20)s(48,32,12)+s(40,24,28)+*s(48,40,20)-
s(32,32,28)c(48,40,12)-c(24,32,20)*t(24,32,12)-s(8,48,12)+
t(32,16,12)s(40,24,28)c(24,24,20)s(24,16,20)*-c(40,24,12)-+
s(40,40,20)c(48,32,12)s(24,32,28)+c(24,24,20)*s(32,24,28)*-
s(16,16,20)t(24,48,12)c(24,24,20)+s(16,24,20)*s(24,48,20)+*
c(32,40,20)s(48,40,20)s(40,40,20)c(32,32,12)+c(24,40,12)-*+
s(40,40,12)c(32,40,20)s(32,32,28)s(24,32,28)**+c(40,24,20)+
s(24,32,28)s(8,32,12)-s(40,24,28)t(32,32,28)s(32,24,28)+*-
s(16,48,20)c(32,32,20)+s(16,48,20)-c(40,40,20)t(24,32,28)+*
t(40,24,20)s(24,48,12)c(48,24,12)t(48,16,12)c(32,16,12)+++*
t(32,32,28)s(32,32,28)s(48,24,12)-*s(24,24,28)*t(32,40,28)*
s(24,40,28)s(8,40,12)t(24,48,28)s(16,48,12)-+*t(48,32,12)+
t(32,48,28)s(40,24,28)s(24,48,20)+s(48,40,20)*-t(24,48,28)*
c(24,24,20)s(32,48,12)c(32,24,20)+*s(24,16,12)s(40,48,20)+*
t(32,40,28)s(24,40,28)s(32,24,28)*+c(40,32,12)t(32,48,28)+*
t(24,48,28)s(32,40,28)c(16,32,12)-s(24,24,12)c(40,24,12)+-*
s(24,32,28)c(40,40,20)+t(32,48,20)c(32,32,28)s(40,24,28)*--
t(32,32,28)t(32,40,20)c(48,16,12)+*s(32,48,20)+s(24,24,28)*
s(24,16,12)t(24,32,28)s(24,40,20)c(32,32,20)**+c(32,40,20)*
c(40,48,12)s(24,32,28)s(48,24,12)+t(40,24,20)*t(24,48,28)-+
c(40,24,20)s(48,24,12)-c(32,32,20)*c(32,16,12)+t(32,16,12)-
c(24,32,20)c(24,40,20)t(24,48,28)s(40,40,20)--c(40,40,20)**
t(24,48,28)c(32,24,12)c(40,24,12)t(16,32,12)+t(24,32,12)+++
s(32,40,28)c(40,40,20)-c(32,24,20)s(24,32,12)-s(40,8,12)--
t(24,32,28)c(40,24,20)s(48,40,20)-c(40,32,12)s(24,8,12)+-+
c(40,16,12)s(48,40,20)t(32,48,28)t(24,48,28)c(32,32,20)*--+
t(40,24,20)s(16,40,20)+s(40,32,28)s(40,24,28)s(24,32,20)*--
s(32,40,28)t(24,32,28)s(40,40,20)t(32,16,12)+t(32,40,20)---
s(32,16,20)c(40,32,20)c(32,16,12)--s(32,24,28)c(40,32,20)*+
c(32,32,28)s(16,16,20)-s(40,32,28)s(24,40,12)--c(32,40,20)*
t(32,32,28)s(48,40,20)t(48,40,12)c(32,48,12)+s(24,16,12)+--
s(32,16,20)t(24,32,20)+s(32,24,20)s(48,24,12)+*c(16,24,12)-
s(24,40,28)s(48,48,20)s(32,40,28)s(48,32,20)*+*c(40,16,12)+
s(24,24,12)s(24,8,12)t(40,56,12)+s(40,40,12)+s(40,16,12)++
t(24,48,28)s(24,24,20)s(24,16,20)*s(8,16,12)-s(24,32,28)*+
s(24,32,28)t(40,40,12)s(24,40,12)+-c(16,16,12)-c(32,40,20)+
s(32,40,28)s(24,24,28)s(32,40,28)*c(40,40,20)*c(32,24,12)+*
s(16,40,20)t(24,48,28)+t(32,48,28)s(32,40,28)*c(48,48,12)-*
s(32,40,28)s(32,48,20)t(16,48,12)-*c(32,40,20)s(40,40,20)**
s(16,32,12)s(40,32,28)s(24,16,20)c(16,16,12)--+s(24,40,12)-
s(40,40,20)s(32,24,28)s(40,32,20)-+s(48,24,20)*s(32,40,28)+
t(40,32,20)s(48,48,20)+s(16,48,20)+s(16,32,12)s(32,32,20)+*
c(32,40,20)t(32,32,20)c(24,16,12)t(24,32,12)++-s(40,32,12)-
s(32,16,20)t(32,48,20)t(32,40,28)+c(32,24,20)s(32,40,20)**-
s(16,48,20)s(24,48,20)+t(24,56,12)t(24,32,28)+*s(24,40,28)*
s(32,16,20)c(32,32,20)t(16,56,12)c(24,24,20)s(32,32,20)*+*-
t(32,24,12)s(32,48,20)s(40,32,20)-+t(32,48,28)c(24,40,12)+*
c(32,24,20)t(40,40,12)-s(40,24,20)*t(24,48,28)t(32,48,28)*-
c(32,40,20)s(40,32,28)t(24,32,28)c(40,40,20)s(40,24,20)*-*-
s(32,32,12)c(32,32,20)s(24,16,20)t(40,24,20)+*t(32,48,28)-+
s(24,48,20)s(24,32,12)t(32,32,28)c(32,40,12)-+t(16,32,12)--
t(40,24,20)c(40,24,12)s(16,32,20)s(24,24,28)+s(40,16,20)-+*
t(24,32,20)c(24,24,12)+c(16,48,12)s(48,48,12)++c(40,48,12)-
t(32,32,28)s(16,40,20)s(24,16,20)+*s(32,16,12)+s(40,32,28)*
s(32,40,20)t(32,48,28)s(32,40,20)t(32,40,20)t(32,32,20)+*--
s(40,32,28)s(24,32,28)*s(40,40,28)*c(48,24,12)s(48,32,12)+-
c(48,16,12)t(24,16,12)s(16,24,12)++s(32,24,28)s(40,40,20)+*
s(40,32,28)c(40,32,12)s(8,16,12)+s(8,8,12)-s(32,32,20)+*
s(48,48,12)c(24,40,20)s(16,32,20)*t(32,32,12)-+s(24,32,28)*
s(40,16,12)s(24,40,28)+c(48,48,12)c(48,40,12)++c(32,16,12)-
s(24,32,28)t(32,16,12)-c(40,24,20)*s(48,32,20)+t(40,32,12)-
c(40,24,20)c(32,24,12)-s(40,24,20)+s(24,48,12)s(48,16,20)+-
c(32,32,20)s(16,8,12)+s(48,16,20)-c(48,16,12)c(40,32,12)++
t(24,56,12)s(24,24,28)+s(24,40,28)c(48,40,12)s(24,40,12)+*-
s(32,32,28)s(32,40,12)-t(48,24,12)-t(40,48,12)+c(32,40,20)-
s(24,24,28)t(32,24,20)t(24,32,12)-s(40,32,20)s(48,16,12)-+*
s(48,48,20)s(32,40,28)s(16,24,20)-s(40,32,20)--s(40,48,20)*
c(40,24,20)s(8,40,12)+s(8,32,12)t(32,40,28)s(32,24,28)*+*
s(48,16,12)c(24,32,20)t(24,48,28)*c(32,32,20)*+s(40,32,28)*
s(24,24,20)c(40,24,20)t(16,48,12)+s(24,40,20)s(8,8,12)+--
c(24,32,20)s(32,32,28)*s(24,48,20)*s(16,8,12)+s(24,32,28)*
s(32,24,28)s(40,32,28)t(32,24,20)-s(48,40,20)-c(32,16,12)--
s(24,48,20)c(24,40,20)s(40,48,12)s(32,8,12)+-+t(24,40,28)-
s(24,24,28)s(48,32,20)s(24,40,20)--c(32,32,28)t(32,48,28)-*
t(32,48,12)s(16,48,20)t(32,40,28)-+s(16,40,12)t(48,32,12)+-
s(16,48,20)t(32,40,28)s(24,32,20)*t(16,24,12)+c(24,24,20)*-
c(24,32,20)t(32,40,28)s(48,32,20)-s(40,40,28)+t(16,48,12)-*
c(24,40,20)c(40,32,12)-t(24,48,12)s(40,48,12)+s(16,8,12)++
c(16,40,12)s(40,24,20)+c(40,24,20)t(48,16,12)-s(48,16,20)--
t(16,24,12)s(32,16,12)+t(24,40,20)+s(32,48,20)+s(32,32,28)*
s(40,24,20)c(16,24,12)+c(24,40,12)s(40,32,20)s(16,24,20)++*
t(16,16,12)c(40,40,20)t(40,56,12)-+s(32,40,20)+c(40,32,20)*
s(16,16,20)s(40,16,20)t(40,16,12)-s(16,48,12)+s(16,40,20)--
t(32,48,20)s(32,24,20)+t(24,32,28)*c(24,40,20)c(40,48,12)-*
s(40,32,12)c(40,16,12)s(32,8,12)++c(24,32,20)-t(24,40,20)+
s(24,16,12)c(40,40,12)+t(32,48,20)+s(16,48,20)s(24,32,28)*-
s(32,40,20)t(32,32,20)t(40,16,12)s(40,32,20)+*c(32,32,12)+*
t(24,48,28)c(24,24,20)s(24,24,20)s(32,48,20)+*-c(24,40,20)*
s(32,16,12)s(24,32,20)s(16,16,12)+t(24,40,28)s(40,40,28)**+
s(32,32,28)s(32,40,28)s(32,48,20)s(40,24,20)---s(32,8,12)+
s(40,40,20)t(40,32,20)*t(24,48,28)+s(24,32,28)s(48,16,12)+*
t(40,56,12)s(24,16,20)+s(8,24,12)+t(40,48,20)+s(32,48,20)*
s(40,40,28)c(48,40,12)-t(32,48,28)t(24,48,20)*-t(32,24,12)-
s(16,32,20)t(32,40,20)s(24,24,28)s(24,32,28)*s(48,40,12)++*
s(24,32,20)c(40,24,12)-c(16,40,12)c(48,40,12)+t(24,40,28)*-
c(32,32,20)c(32,40,20)+s(24,32,12)s(40,40,20)+*c(24,40,20)*
s(48,24,20)t(24,48,20)s(40,24,28)s(24,48,20)-+c(16,32,12)+*
t(24,48,28)s(24,32,28)s(40,16,20)s(16,40,12)s(40,32,28)+*-*
s(40,40,20)s(48,40,12)s(40,16,12)+c(24,32,20)t(32,48,28)++*
s(40,48,20)s(48,40,12)s(48,32,20)c(32,40,20)*t(24,24,20)++-
c(40,32,20)s(48,48,12)-c(32,16,12)-c(48,40,12)+c(24,32,12)-
s(48,32,20)t(32,56,12)t(24,40,28)+-s(24,32,20)-t(40,40,20)-
c(40,40,20)s(48,24,20)+s(24,16,20)s(32,24,28)+s(40,48,20)--
s(8,40,12)s(24,16,20)t(32,32,20)++s(32,40,20)t(48,40,12)+-
t(48,32,12)t(32,48,28)+t(24,48,20)t(24,32,28)s(24,48,12)--*
s(24,32,20)t(32,32,28)c(32,32,20)*s(40,32,20)c(32,32,20)***
s(32,48,20)c(32,32,12)+c(32,32,12)c(16,32,12)+*s(40,40,20)+
s(40,8,12)t(24,48,28)+t(24,48,12)s(40,48,20)++s(24,40,28)*
s(48,24,12)s(40,40,20)+c(32,48,12)-t(40,48,20)s(24,8,12)+-
s(40,32,28)t(40,32,20)t(24,40,20)+s(24,40,28)**s(48,32,12)-
s(40,32,20)s(48,16,20)+c(32,40,12)t(40,24,20)c(32,32,20)*+*
s(32,32,20)t(32,40,28)s(24,40,20)s(32,48,12)-s(40,40,20)--*
s(24,24,20)t(32,24,20)+t(32,40,12)+s(24,40,20)*t(16,16,12)+
t(40,48,20)c(40,24,12)+s(48,24,20)-s(48,32,20)c(48,32,12)--
s(16,16,20)s(24,40,28)t(32,48,28)*+t(16,24,12)-c(24,16,12)-
s(32,32,28)s(48,32,20)c(32,32,28)s(24,32,20)-s(8,32,12)+*+
c(40,32,20)t(48,32,12)-s(32,48,20)s(32,24,28)+*s(48,40,20)-
s(32,40,28)s(48,40,20)s(32,32,28)t(32,40,28)*t(24,32,28)*+*
s(32,40,20)s(32,24,28)t(24,16,12)-c(40,24,20)++s(24,24,28)*
c(32,16,12)t(24,32,28)+c(16,16,12)-c(16,48,12)+t(32,48,28)*
s(40,32,20)s(24,24,28)s(24,40,20)c(32,32,28)s(32,16,20)*-*-
s(24,40,20)s(16,48,20)s(40,24,28)+*s(32,40,20)s(24,32,28)**
t(32,40,28)s(48,8,12)c(24,32,12)+s(32,16,20)t(40,16,12)---
c(40,40,20)t(24,24,12)s(24,32,28)s(24,32,20)-+-s(48,32,20)*
s(32,24,28)s(16,24,20)*t(24,48,28)s(32,24,28)-s(48,40,12)++
s(40,8,12)t(32,40,28)+s(16,16,12)c(16,32,12)+-t(32,40,28)*
c(32,32,28)s(40,32,28)s(48,24,20)*c(32,32,20)*t(40,56,12)+*
c(40,40,12)s(40,24,28)s(24,40,28)c(40,40,20)*-+s(40,48,12)-
c(24,24,20)s(16,32,12)s(40,32,28)+s(40,40,20)-c(24,40,20)+*
s(40,40,12)s(40,24,20)+s(48,32,12)-t(40,56,12)+s(40,48,12)-
s(48,48,20)c(40,32,20)*s(40,24,20)+c(32,40,12)-t(40,48,20)+
t(32,32,20)s(48,24,20)+s(48,32,20)c(24,40,20)s(40,32,20)*--
t(32,48,28)t(40,32,20)t(40,56,12)+*t(24,40,12)-s(32,40,12)+
t(32,32,28)c(32,48,12)+s(16,40,12)t(40,48,20)+*s(32,48,20)+
t(24,40,20)s(40,32,20)c(24,24,12)+s(24,40,20)*c(16,40,12)+*
c(40,40,20)c(16,40,12)t(32,48,20)++t(24,40,28)*s(32,24,28)*
c(24,48,12)t(24,32,28)s(48,40,20)-+s(40,40,28)*t(48,16,12)+
c(40,40,20)t(24,40,12)t(24,16,12)t(48,40,12)+++c(24,24,20)*
s(40,40,12)s(40,32,20)s(8,48,12)t(48,24,12)+-s(24,40,28)*+
s(32,16,20)s(24,16,20)c(32,32,12)-*s(32,24,28)c(16,48,12)+*
s(40,8,12)t(32,32,28)+s(24,40,28)*c(32,40,20)c(16,24,12)-*
s(40,48,20)t(40,24,20)t(24,48,28)t(48,32,12)++t(32,48,28)*+
s(40,40,28)s(24,40,28)*t(24,32,28)+t(32,40,12)-s(40,40,12)-
s(8,8,12)s(40,32,20)t(48,16,12)-c(40,40,12)t(32,40,20)+*+
s(48,40,20)s(16,24,12)+t(32,40,12)t(48,32,12)+-s(24,40,28)*
s(40,24,28)c(32,24,20)c(32,32,28)c(40,24,12)s(40,48,20)+**-
t(32,32,28)s(32,40,28)c(40,32,20)*s(16,8,12)+s(24,24,28)*+
s(16,32,20)s(8,48,12)+c(32,24,20)t(24,40,28)*-s(32,32,20)-
s(32,8,12)c(40,32,20)s(40,32,20)c(24,24,20)t(24,40,28)*+*+
s(24,32,28)s(8,8,12)s(32,16,20)+*c(40,32,12)-t(24,40,12)+
s(48,40,20)c(40,24,20)c(24,40,20)t(16,32,12)--s(40,40,28)*-
t(48,32,12)s(40,8,12)t(24,40,28)s(40,32,28)c(24,40,20)**++
s(40,48,20)t(24,32,20)c(24,24,12)s(8,16,12)+++t(40,40,20)*
s(40,16,12)c(24,24,20)s(40,32,20)*s(24,48,12)++c(48,48,12)+
c(24,24,12)c(24,40,20)s(24,32,28)s(40,40,28)*s(32,16,12)+*+
s(32,16,20)c(24,24,20)s(40,32,20)*s(24,16,20)+t(40,32,20)-*
s(24,8,12)c(24,40,20)+c(48,32,12)s(48,32,20)c(48,24,12)-+-
s(32,24,20)c(40,40,20)s(48,32,20)*+s(40,48,12)+s(16,8,12)+
c(40,32,12)c(40,40,12)t(24,40,28)+c(24,32,20)-+t(32,24,20)+
t(32,24,20)s(48,16,12)s(32,40,12)+-s(40,40,12)+c(32,24,20)*
s(8,32,12)s(32,32,28)c(48,48,12)-+s(24,32,12)-t(32,32,20)-
t(40,16,12)c(32,32,12)s(32,8,12)+c(48,40,12)++t(32,48,12)+
s(16,48,12)t(16,56,12)+c(40,16,12)+t(24,32,28)+s(16,24,20)*
c(32,32,28)t(48,48,12)s(32,16,20)+t(40,24,12)s(16,24,20)+*-
s(24,32,28)c(48,24,12)c(40,24,20)s(48,32,20)-s(32,24,20)*+-
s(40,40,20)s(48,24,20)c(48,24,12)c(16,24,12)+s(40,32,28)**-
t(24,48,28)s(40,48,20)+c(48,40,12)-t(24,48,12)-s(16,48,12)-
s(40,32,20)s(48,40,20)*t(24,48,20)+s(48,32,12)-s(32,24,12)+
s(32,40,28)c(40,24,20)*s(32,32,28)s(40,16,12)-s(24,24,12)-+
s(40,40,28)s(32,32,28)t(24,32,28)**c(48,24,12)+s(48,40,20)*
s(32,40,20)c(16,40,12)+c(16,48,12)+s(48,8,12)+s(16,16,12)+
s(32,8,12)s(24,48,20)t(32,40,28)t(24,24,20)-*t(32,24,12)++
s(40,32,20)s(24,48,20)+c(40,40,20)c(48,40,12)-*t(24,24,20)-
c(24,24,20)t(24,40,20)+s(24,16,20)s(40,32,20)+t(32,40,28)-*
c(24,40,20)s(16,48,20)t(16,16,12)+t(24,32,28)*t(16,24,12)+*
c(32,16,12)c(48,48,12)+s(48,24,20)-s(24,24,20)s(16,8,12)--
s(24,32,28)t(40,24,12)-s(24,40,28)s(8,24,12)-*t(24,48,28)*
t(40,40,20)s(16,8,12)s(32,40,28)t(32,48,28)s(24,32,28)+*+*
s(40,48,20)c(32,40,20)s(8,16,12)s(40,24,12)+-s(24,16,12)++
c(32,24,20)s(32,32,20)s(40,16,20)-c(40,40,12)++t(32,40,28)+
t(24,48,20)t(24,48,20)t(24,32,28)+t(32,40,12)-c(40,24,20)-*
s(40,16,20)s(40,24,28)s(24,24,20)s(40,24,20)*-s(32,40,12)+*
s(16,32,20)c(24,40,20)*s(32,24,28)s(32,32,28)t(40,40,20)-*+
s(48,32,20)s(32,40,28)t(24,48,12)-s(40,32,28)+s(40,40,20)--
s(40,24,28)t(32,32,28)c(32,48,12)-t(16,32,12)++s(32,40,28)+
s(32,48,20)c(48,32,12)t(24,48,20)+s(32,32,12)-c(32,32,12)+*
t(32,56,12)t(32,32,20)+c(32,40,20)t(32,32,28)*s(40,24,28)**
c(16,16,12)s(40,16,20)t(24,40,20)++t(24,24,12)-s(24,40,12)-
t(24,32,20)s(24,40,20)+s(40,24,28)c(32,32,28)*c(24,24,20)*+
s(48,32,20)s(32,40,20)s(32,24,28)*-t(16,48,12)+c(32,32,28)*
t(24,24,20)t(32,40,20)-s(24,32,12)t(48,32,12)+s(48,16,12)++
t(32,48,28)c(40,40,20)s(16,40,20)+*s(16,32,20)-t(40,48,20)*
s(32,40,20)t(24,48,12)-s(32,40,20)t(32,24,12)-s(40,40,20)*+
s(40,8,12)s(32,24,20)c(24,32,12)-t(16,56,12)++s(32,32,28)*
s(40,40,28)s(32,24,20)s(40,16,20)c(40,24,20)*+-c(32,40,12)+
s(48,32,20)t(48,32,12)-s(32,32,28)+s(24,24,28)c(24,16,12)--
c(40,32,20)t(48,48,12)-s(16,16,20)-t(32,40,20)c(48,24,12)+*
c(40,24,12)t(24,24,20)c(32,32,12)+t(48,32,12)+t(24,24,12)-+
s(24,32,28)s(24,48,20)t(32,32,20)t(48,56,12)+-s(24,24,12)+*
s(16,32,12)s(16,48,20)+c(32,40,20)s(16,16,20)t(40,24,12)++*
s(40,48,20)t(32,40,12)-c(40,40,20)+c(32,32,20)s(8,32,12)+*
c(32,48,12)c(40,32,20)+s(48,40,20)-t(24,48,28)s(24,40,20)--
c(16,32,12)t(48,32,12)t(24,32,20)+t(40,24,20)-+s(24,24,12)-
c(24,32,20)t(24,24,12)-t(32,32,12)-t(24,16,12)-t(32,32,28)+
s(24,32,20)t(16,40,12)-s(32,24,28)t(24,40,28)-+t(32,24,12)-
s(32,24,28)c(24,32,20)s(16,24,20)+-t(40,40,20)+c(24,48,12)-
s(32,40,28)s(40,16,20)s(40,24,28)s(8,8,12)+t(32,32,12)-*+
c(40,24,20)s(32,32,28)s(16,24,12)-c(24,32,12)t(16,16,12)+-*
s(24,24,20)s(16,8,12)-t(24,48,20)t(24,40,28)*+t(24,16,12)-
c(32,24,20)c(48,32,12)-c(40,40,12)-t(32,32,20)+s(32,40,28)*
s(32,32,28)s(16,24,20)-s(48,32,12)-t(24,40,28)s(40,40,12)+*
t(24,32,20)s(40,48,20)c(24,32,12)s(40,16,20)++t(32,48,20)*-
c(48,16,12)t(24,32,20)c(32,24,20)*+s(40,48,20)-s(16,40,12)-
c(32,32,12)s(16,40,20)+s(24,32,28)+t(16,48,12)-s(40,24,28)*
s(40,24,12)c(16,16,12)+c(40,24,20)s(24,40,28)*+t(40,32,20)*
c(40,24,20)t(32,56,12)s(8,40,12)+s(40,24,12)+s(32,32,28)*+
c(40,40,20)s(16,32,12)c(40,32,20)+t(24,48,28)-t(24,40,20)+*
s(40,48,20)s(24,32,28)t(40,32,20)++t(24,40,28)c(40,24,20)--
s(40,32,28)c(40,24,20)s(48,40,20)s(16,40,20)+*-s(24,32,12)-
t(32,32,28)s(32,32,28)c(32,40,20)s(32,8,12)+*s(32,48,20)*-
t(16,32,12)c(16,16,12)+s(32,24,28)*c(24,24,20)t(24,48,28)-+
s(16,32,12)c(40,16,12)+s(8,40,12)-t(24,48,28)s(24,40,28)*+
c(32,24,20)t(32,32,28)s(24,24,28)s(48,16,20)t(48,56,12)+-**
c(32,32,20)s(8,40,12)+s(32,16,20)s(32,48,20)+*s(40,16,12)+
s(40,16,20)s(48,16,20)t(24,40,20)+*t(32,16,12)-s(24,16,12)+
s(32,24,28)s(24,48,20)t(48,24,12)+*t(24,32,12)+t(24,40,12)-
s(24,24,20)c(24,40,20)s(16,32,20)*s(40,8,12)t(40,32,20)+--
s(48,40,20)s(8,24,12)+t(24,32,28)t(32,32,12)c(16,16,12)+*-
t(32,48,12)t(48,48,12)+c(40,24,20)t(40,24,12)-+c(24,16,12)-
s(24,32,20)c(32,24,20)c(40,24,20)s(40,16,20)**s(16,40,12)+*
c(40,24,20)c(40,40,20)s(24,32,20)s(40,32,12)+*-c(32,24,20)*
s(32,40,28)s(8,40,12)+s(16,48,20)s(40,48,20)+c(16,48,12)-+
t(40,40,20)c(16,16,12)s(48,32,20)s(32,32,20)-+-s(48,16,20)-
s(48,32,20)c(48,40,12)s(16,40,20)s(16,32,20)*++c(24,32,20)-
s(16,24,20)c(32,24,12)+s(24,32,20)s(48,24,12)+*s(16,24,20)+
t(40,40,20)s(24,32,28)t(40,48,20)-+c(24,48,12)-t(32,32,28)-
s(40,40,28)s(24,40,28)s(24,24,12)-s(40,32,28)--c(24,40,20)*
t(24,32,28)s(24,32,28)t(32,40,28)-s(32,40,28)+t(16,40,12)-*
s(24,40,28)c(24,16,12)+s(40,40,20)s(40,24,28)*s(16,24,20)+*
c(32,32,28)s(32,40,28)t(32,40,28)t(32,48,20)-*-s(32,40,20)-
c(32,40,20)s(24,40,20)s(48,32,20)s(48,48,12)+-*s(40,8,12)+
t(32,40,20)s(24,32,12)-s(24,8,12)+s(16,24,20)t(40,56,12)+-
c(48,16,12)t(32,40,12)+s(40,32,28)*c(32,32,20)+s(48,40,20)*
c(32,32,28)s(40,24,28)*c(32,32,20)s(32,24,20)c(24,48,12)+**
s(24,24,28)c(40,40,12)t(32,24,12)+s(32,40,12)+c(24,40,20)+*
t(32,40,28)c(24,24,12)s(40,32,28)s(40,40,28)*c(48,40,12)-+*
s(32,48,20)t(48,48,12)+t(40,24,20)s(16,24,20)+c(32,32,28)*-
s(24,24,28)s(24,32,28)c(40,24,20)+*t(24,40,20)-s(24,24,12)+
c(24,40,20)t(32,48,12)-s(32,40,20)s(32,40,28)c(48,40,12)-**
s(32,16,12)t(24,32,28)+s(48,24,20)-c(40,32,20)-s(32,16,12)+
c(32,32,20)s(32,32,12)c(32,16,12)+-s(32,40,28)s(24,40,12)-*
s(40,48,20)c(32,40,12)+s(24,40,28)s(32,24,20)-c(24,32,12)+*
c(24,32,20)t(32,24,20)t(24,32,28)++c(24,40,12)-s(24,16,20)*
s(24,24,28)c(40,24,20)*s(32,24,20)t(32,24,12)-c(32,32,12)+*
s(8,24,12)s(24,40,20)c(32,24,20)-+s(24,40,28)s(40,32,28)*-
s(24,24,20)s(24,32,20)c(48,40,12)+*c(16,16,12)s(24,40,20)+*
c(24,24,20)c(24,32,12)-t(24,56,12)s(24,32,20)+t(40,48,20)-+
s(24,40,20)s(40,24,28)t(32,48,12)+c(32,32,20)*s(40,24,28)*+
c(48,48,12)c(32,32,28)t(32,40,20)s(24,40,28)t(40,48,12)-+*+
c(24,24,20)s(24,8,12)-c(24,40,12)+s(40,24,28)s(32,32,20)*+
s(16,48,20)t(24,48,20)t(32,40,12)+t(24,40,28)*t(24,32,20)+*
t(24,48,20)c(24,16,12)t(32,24,20)t(16,32,12)++-s(8,48,12)-
t(40,32,12)s(16,16,20)+s(8,24,12)t(24,32,20)+-s(40,40,20)-
s(32,8,12)s(32,32,20)c(16,40,12)-+s(48,48,20)s(40,24,20)+*
s(40,24,28)s(40,24,28)s(32,32,12)-s(40,40,12)-c(48,16,12)--
s(16,32,12)s(40,24,28)s(24,40,28)-+s(48,40,12)-s(24,40,28)+
t(16,48,12)t(32,32,28)c(40,16,12)-+s(32,40,28)s(40,24,28)*-
t(40,40,20)s(40,40,20)c(32,32,20)*t(16,48,12)+s(32,8,12)+*
t(24,40,28)s(32,8,12)+t(24,24,20)+s(40,40,28)*t(48,56,12)+
c(40,40,20)c(32,40,20)*c(32,32,28)c(48,16,12)-t(32,48,28)**
s(16,32,20)c(32,24,20)c(40,24,20)s(32,24,28)t(40,32,12)-**-
s(24,32,20)s(48,24,20)-t(24,16,12)-c(24,24,20)s(48,24,20)-+
s(40,24,28)s(24,32,20)-s(48,40,20)c(32,32,28)*s(40,48,20)*-
s(40,24,20)c(32,24,20)s(32,48,20)-*s(32,24,20)s(48,24,20)--
s(16,48,20)s(40,16,20)s(16,24,20)s(8,8,12)++c(24,32,20)*-
s(24,16,20)s(40,40,20)t(32,32,28)+s(40,48,20)*c(24,32,12)-+
s(40,48,20)s(48,32,12)-t(40,16,12)t(32,48,28)+*s(8,8,12)+
t(32,32,28)s(48,40,20)t(32,40,28)t(32,48,20)*+-t(32,48,28)-
s(48,40,20)s(24,40,12)+s(24,24,20)s(40,16,12)-+t(32,32,28)-
s(24,32,28)s(40,40,20)-t(32,48,20)c(32,32,20)s(48,40,20)-+*
s(16,24,20)s(48,16,20)s(40,32,20)+t(32,32,28)*s(40,40,20)*+
s(48,24,20)s(48,40,20)t(32,32,20)-t(24,16,12)+-s(16,24,12)+
t(32,56,12)s(32,32,12)+s(40,24,20)s(40,40,28)*t(24,40,20)-+
t(40,40,20)s(16,40,20)s(16,48,12)-+t(16,32,12)t(32,32,12)+-
c(40,40,20)c(24,24,12)+c(40,24,12)t(32,48,28)+*s(24,32,28)*
c(32,40,20)s(24,24,28)s(32,32,28)t(16,32,12)--s(40,24,20)+*
s(32,40,28)t(24,48,28)*c(40,16,12)+s(24,24,28)s(32,48,20)-*
s(48,40,12)t(24,48,20)c(24,40,20)s(16,40,20)*+s(24,40,20)++
c(32,40,20)s(16,40,20)s(32,40,20)*-s(32,24,28)t(16,48,12)+*
s(48,40,12)s(40,24,28)c(32,32,20)s(24,32,12)-*c(16,24,12)++
c(40,32,20)c(32,40,20)*s(32,32,28)c(32,40,20)*s(32,24,28)**
s(32,32,20)c(40,32,20)*c(40,24,20)*s(24,8,12)+t(32,40,28)*
c(40,16,12)c(24,24,20)s(16,40,20)s(48,48,12)+*+s(16,32,20)*
t(24,48,28)s(8,40,12)t(24,48,28)s(48,40,20)-++s(32,32,20)+
t(24,48,28)c(32,32,20)+c(32,48,12)-c(32,32,20)*t(32,24,20)-
t(48,48,12)s(32,32,20)s(24,32,20)*+c(24,32,20)s(48,24,20)-*
t(48,40,12)t(40,24,20)+s(24,16,12)+c(40,32,20)t(32,40,20)*-
s(40,32,20)s(32,24,28)t(32,32,28)s(24,32,20)s(24,48,20)--*-
s(40,40,28)c(32,32,20)s(40,16,20)-c(16,40,12)s(48,8,12)++*
c(40,40,20)s(40,24,20)-c(32,32,20)s(40,32,20)*+s(24,40,28)*
s(40,32,20)s(32,24,28)s(32,48,20)-s(16,32,12)-s(16,24,12)+*
s(8,24,12)t(32,40,28)+s(24,16,20)t(32,32,28)-+s(24,48,12)-
s(40,16,20)t(32,32,28)c(40,32,20)t(40,24,20)-+c(32,24,20)*-
c(32,32,28)s(32,48,12)-c(48,32,12)t(24,56,12)s(16,32,12)++*
s(8,8,12)t(32,24,12)t(24,48,28)+s(8,24,12)t(32,48,28)+*+
s(48,40,12)t(32,48,20)t(32,32,20)++c(16,40,12)-s(24,48,12)-
s(40,24,28)t(24,48,28)-s(48,16,20)*c(32,40,20)+c(40,32,20)-
s(32,48,20)t(32,40,20)+c(16,40,12)s(32,48,12)s(16,48,12)++*
s(40,32,20)s(24,32,28)*s(48,32,20)s(32,24,12)c(48,48,12)+--
s(8,32,12)c(24,48,12)+t(32,48,28)t(32,40,28)*c(24,16,12)+-
s(40,24,28)t(24,32,28)c(32,40,20)**s(16,40,20)s(24,16,12)++
t(24,40,28)c(48,40,12)s(32,32,12)+-s(24,40,28)s(24,32,28)**
s(16,24,20)c(48,16,12)t(32,32,28)s(40,24,20)*s(32,32,20)*++
t(24,40,28)c(40,24,20)s(40,32,12)t(24,32,12)+s(16,24,12)+*+
s(16,40,20)s(40,48,20)s(48,48,20)s(32,8,12)+*+s(40,48,20)*
s(16,40,20)c(32,24,20)s(16,40,20)s(24,48,20)*-t(32,32,28)*-
s(24,40,20)s(40,24,20)-t(40,40,20)+t(32,32,28)*t(32,32,12)+
s(32,8,12)t(24,32,20)t(32,40,28)+c(16,16,12)++c(40,40,12)-
s(32,32,20)s(32,24,28)c(24,40,20)s(24,48,20)s(16,48,20)**-+
s(32,24,28)s(48,40,20)+s(24,16,20)-t(40,48,12)-s(32,16,20)+
s(24,48,20)s(32,16,20)c(40,32,20)-c(16,32,12)+-s(8,8,12)+
s(24,40,28)s(32,40,20)s(32,40,28)t(24,40,28)*t(40,24,20)-*-
s(32,48,12)s(32,32,20)+t(24,32,28)+t(48,32,12)s(24,48,20)+*
s(32,40,28)c(16,24,12)-s(24,40,20)s(24,32,20)s(16,32,12)---
s(32,32,28)t(16,32,12)-s(32,16,12)-c(32,24,20)s(32,40,28)--
s(40,24,12)s(48,48,20)s(16,48,12)t(32,32,28)+-+c(24,32,20)-
s(40,48,20)t(40,48,20)s(40,32,20)c(48,32,12)--t(16,24,12)+*
c(32,32,20)s(32,48,20)t(24,48,20)*+s(24,16,12)t(40,40,20)+*
c(32,48,12)s(48,16,20)+c(24,32,20)s(32,40,28)*+c(32,32,20)-
c(24,32,20)s(24,32,12)-c(24,24,20)s(16,48,20)-c(32,32,20)+*
s(40,40,28)s(8,8,12)s(48,16,20)+t(48,16,12)--s(40,24,28)*
s(40,48,20)c(32,24,20)c(32,24,12)-s(16,32,20)--t(24,40,28)-
c(24,24,20)c(40,24,20)t(32,48,20)s(48,32,20)+*+c(40,16,12)-
s(16,16,20)s(24,24,28)s(40,40,28)-c(48,16,12)s(24,24,12)+--
t(32,40,28)s(16,48,12)-s(40,40,28)s(24,32,20)**s(40,40,20)+
s(48,40,20)s(32,24,20)s(16,16,20)-c(24,40,12)--t(32,56,12)+
s(48,40,20)s(48,48,20)s(40,32,12)+*c(32,32,28)*t(24,32,20)-
s(40,24,20)s(48,8,12)-s(24,24,28)+s(32,32,28)+s(40,40,28)*
s(16,40,12)s(40,48,12)c(16,48,12)+t(40,48,20)++c(40,24,20)-
c(32,32,20)t(24,32,28)s(8,32,12)-*c(32,24,20)*c(24,24,12)+
c(40,40,12)s(48,48,20)+s(40,8,12)s(32,48,20)+t(24,48,20)*-
s(32,24,20)s(24,32,28)c(32,40,12)-*c(40,48,12)+s(32,32,28)*
s(16,40,20)c(48,16,12)+t(32,48,28)c(32,32,20)*-s(48,32,20)-
s(32,24,12)t(32,48,28)t(32,48,20)-s(24,48,12)-+s(40,40,20)-
c(24,32,20)c(32,40,12)-c(24,48,12)-s(32,24,20)c(24,24,20)*+
t(24,48,28)c(48,16,12)s(32,32,28)+s(40,32,28)s(8,24,12)+**
t(24,48,28)s(24,32,20)*s(40,24,28)+s(40,32,28)*t(16,16,12)+
s(32,24,20)t(32,40,28)s(16,32,12)+s(16,32,20)c(24,32,20)**+
t(24,40,28)s(24,40,28)s(32,24,20)c(24,24,20)**t(24,48,12)+*
s(40,24,20)s(24,32,12)+t(40,24,20)t(32,24,12)--t(16,40,12)+
t(32,32,20)s(48,24,20)s(40,16,20)-t(24,40,28)s(16,40,20)*++
s(24,32,28)c(24,24,20)s(16,32,20)t(32,24,20)-c(16,16,12)+*-
t(32,48,28)s(48,32,12)+s(32,40,28)c(32,32,28)s(32,48,12)-**
t(32,24,20)t(32,40,28)+s(48,48,12)-s(32,40,12)s(24,16,20)+*
c(32,32,28)s(32,24,20)-s(40,32,28)c(32,32,20)*c(48,24,12)+*
c(32,32,28)c(16,16,12)-s(24,48,12)s(32,24,20)+*c(40,24,12)-
t(40,40,20)t(48,48,12)-c(40,16,12)t(24,48,12)++c(32,24,20)*
c(32,32,20)s(40,24,28)c(24,40,20)-s(24,24,28)+*s(32,8,12)+
c(40,40,12)t(48,16,12)+s(16,32,20)+t(32,40,12)c(40,40,12)+-
s(24,40,28)c(24,40,12)t(16,40,12)+s(24,48,20)*-s(24,32,28)*
s(32,24,12)t(40,40,20)s(16,32,12)s(32,16,12)+t(24,48,20)+-+
t(24,48,28)s(32,32,12)+t(40,32,20)+s(24,40,20)*s(24,40,12)-
c(40,24,12)t(32,32,28)+s(48,16,12)+t(48,40,12)-t(40,40,12)-
c(32,32,20)c(40,40,20)s(48,24,20)-c(48,24,12)t(24,48,20)+--
s(32,24,28)s(8,48,12)+t(32,40,28)s(40,48,20)-*s(32,8,12)+
t(24,48,20)c(24,24,20)c(24,24,12)s(40,24,12)+*+s(16,16,12)-
t(24,32,28)s(24,32,12)-c(40,32,20)+t(24,40,28)s(32,32,12)--
s(48,40,20)s(24,24,12)s(24,40,28)s(24,24,28)*t(24,24,20)-+-
c(16,24,12)t(32,56,12)s(40,32,20)+s(40,48,12)++c(24,24,20)-
s(24,24,28)c(32,32,28)t(24,48,20)-s(16,32,20)s(16,24,12)--*
t(40,32,12)s(24,24,28)s(32,40,12)c(48,40,12)+c(48,48,12)--+
t(24,40,28)s(32,32,28)*t(24,40,28)t(24,24,20)-*s(16,48,12)+
t(32,40,28)c(32,32,20)*s(24,40,28)t(24,48,20)s(32,16,12)+*-
c(24,24,20)s(24,48,12)+c(40,24,20)s(40,40,28)+s(48,24,20)*-
s(40,48,12)c(24,24,20)t(48,40,12)++c(24,16,12)-s(40,16,20)+
s(24,40,28)s(40,40,28)c(32,40,12)-s(40,32,20)*-s(40,32,20)+
c(40,40,20)t(24,48,28)t(16,56,12)s(48,48,12)+t(16,32,12)+-*
s(48,32,20)c(32,24,20)s(24,24,12)-t(32,32,20)--c(16,48,12)+
s(32,48,20)s(48,32,12)+s(24,48,20)s(40,48,12)-s(40,16,12)++
s(48,48,20)s(8,40,12)s(48,16,12)++s(40,40,28)*s(40,40,20)*
c(32,24,20)s(24,40,20)-c(32,32,28)c(24,24,20)-+s(48,16,20)*
c(32,32,20)s(48,48,20)-s(32,16,12)s(24,32,20)+*c(24,40,20)*
t(24,48,20)s(24,48,20)t(24,40,28)t(32,24,20)-s(32,32,20)+**
t(32,48,28)t(24,40,20)c(40,40,20)s(16,32,20)-++s(24,8,12)+
s(48,48,20)s(32,32,28)t(32,40,20)-s(16,32,20)t(48,24,12)+-+
s(40,24,28)c(24,48,12)t(40,48,20)s(40,24,20)++*t(24,48,28)-
s(40,40,28)s(24,32,28)+s(40,24,28)*c(32,32,12)-s(24,16,20)+
s(24,16,20)s(24,24,28)s(32,16,20)-+s(16,40,12)t(24,56,12)+-
s(48,32,20)t(24,24,12)t(40,16,12)+t(48,32,12)+-t(32,40,20)+
c(32,24,20)t(32,48,28)c(32,32,28)*-t(32,24,20)s(24,24,20)*+
t(32,56,12)s(40,32,28)c(24,32,20)-+s(24,8,12)+s(48,24,20)*
c(24,32,20)s(24,40,20)*s(48,40,12)s(24,48,20)t(40,48,20)++*
t(32,32,12)s(32,32,20)s(16,40,12)-s(48,40,20)s(48,48,20)*-+
s(32,24,12)c(24,24,20)t(24,32,28)s(40,48,20)--+s(16,48,20)+
s(40,8,12)t(40,32,20)s(32,40,28)*c(24,32,20)s(32,32,20)*++
c(24,16,12)c(40,24,12)t(32,32,20)+s(32,24,20)*+c(48,24,12)-
t(32,32,28)t(32,40,28)s(32,40,12)s(16,48,20)+*s(48,48,20)+*
s(40,48,20)c(24,40,12)t(16,24,12)+t(40,56,12)+c(24,40,20)+*
s(40,32,28)s(32,48,20)s(40,8,12)+c(40,24,20)*s(16,32,20)+*
s(40,32,28)s(32,32,28)s(40,16,20)s(32,32,28)s(48,48,12)-*-*
s(32,32,20)s(48,24,20)+s(40,24,20)-t(16,40,12)-s(48,16,20)+
c(24,32,20)c(40,32,20)*t(24,40,20)s(24,40,28)t(32,48,12)-*+
t(40,40,12)s(32,24,20)+s(24,40,28)s(16,48,12)s(40,24,28)+**
c(24,40,20)c(24,16,12)s(16,48,12)+s(24,40,20)t(32,40,28)*+*
c(32,32,28)t(24,32,28)c(32,32,28)c(32,32,12)-c(32,16,12)-*-
s(48,32,20)t(32,32,28)t(40,40,20)--t(24,24,12)+s(32,24,28)*
t(24,16,12)t(40,48,20)s(24,48,12)+s(16,48,12)-c(32,32,12)-+
c(48,48,12)t(24,48,28)s(40,40,20)-t(40,32,20)+c(32,24,20)*+
s(40,48,20)c(32,40,20)s(40,24,28)--s(24,24,12)+s(24,32,20)*
t(24,40,20)s(32,40,20)*s(16,24,12)c(16,32,12)+t(24,32,28)*+
t(40,32,20)c(24,32,12)-c(48,40,12)+c(40,16,12)+s(40,32,12)-
s(32,24,28)s(24,40,28)t(24,32,28)*s(32,48,12)+s(24,24,28)**
t(32,32,28)s(48,16,20)s(48,32,12)--s(32,16,20)s(32,32,28)*+
s(40,24,28)c(32,32,20)s(16,32,12)-s(48,40,20)+-t(24,32,28)-
s(48,48,20)t(24,40,12)+c(24,24,20)+s(40,40,20)*t(24,40,12)+
s(24,48,12)s(40,24,20)c(40,24,20)s(40,32,20)*s(8,40,12)+*+
s(32,40,20)s(24,24,20)s(32,48,20)-s(24,32,20)*s(8,16,12)--
s(24,32,20)s(32,48,12)+t(24,16,12)s(24,40,12)+c(40,16,12)+-
s(24,16,20)s(32,24,20)*c(24,40,20)s(32,24,28)t(48,16,12)--+
c(40,40,20)s(32,32,28)t(32,40,28)*s(32,16,12)-t(40,40,20)*-
t(32,48,28)t(32,24,20)-c(40,40,20)*c(40,32,20)s(40,40,20)+*
c(48,24,12)c(16,32,12)+t(32,40,28)c(24,32,20)*+t(24,40,20)*
t(32,48,28)c(24,32,12)-s(32,24,28)s(48,48,20)c(24,24,12)+*-
s(24,48,20)t(32,40,20)s(8,48,12)+c(16,32,12)-s(24,24,12)+-
t(24,16,12)s(40,40,28)+c(24,16,12)-c(32,24,20)*s(48,16,12)-
c(32,24,20)s(32,40,28)c(40,40,20)t(32,32,28)+s(40,32,28)**+
s(24,40,28)s(24,32,20)-t(32,24,12)+t(24,48,20)-s(48,16,20)-
s(24,16,20)s(40,16,20)s(48,24,20)*t(32,48,28)c(24,32,20)*+-
c(24,40,20)c(32,32,28)t(24,48,28)*t(32,16,12)+t(24,48,12)-*
t(24,24,20)s(24,32,28)s(16,16,20)s(32,24,20)+*s(8,32,12)-*
s(40,32,28)c(48,40,12)-t(32,24,20)s(32,32,28)s(24,24,28)**-
s(24,48,20)s(32,40,28)c(16,16,12)+t(32,32,20)-s(16,8,12)-*
s(32,40,28)c(40,48,12)t(48,16,12)+-s(24,16,12)t(40,32,20)+*
t(24,40,20)s(24,40,20)c(24,40,20)s(24,48,20)***c(16,24,12)+
t(24,56,12)c(24,32,20)+t(24,56,12)-s(24,24,12)-c(16,40,12)-
c(24,32,20)s(32,24,28)*s(24,24,20)c(24,32,20)*s(24,16,20)++
s(40,32,28)t(40,48,20)s(48,48,20)+c(32,40,20)*s(32,40,20)++
s(32,32,28)t(24,32,28)s(40,48,12)+*s(40,40,12)-t(24,48,12)-
s(16,48,20)s(32,32,20)t(32,32,28)s(40,32,28)t(24,24,12)-*++
t(32,16,12)t(40,32,20)c(40,32,20)s(40,32,12)t(32,48,12)+*++
s(40,40,28)t(32,40,28)t(40,24,20)-*t(32,40,28)c(40,24,20)*+
s(40,48,20)s(40,24,28)s(24,40,28)c(40,40,20)s(48,8,12)+*--
s(32,40,28)c(24,32,20)s(16,32,12)-*t(40,48,20)+t(40,40,20)*
t(40,40,20)t(24,40,20)t(40,24,20)s(16,32,20)-t(40,40,12)+--
c(40,40,20)c(40,32,20)s(48,48,20)*-t(40,48,12)t(16,48,12)+-
s(24,40,28)t(16,48,12)-c(32,24,12)-c(32,32,20)t(24,32,12)-*
s(32,32,28)s(24,40,28)*c(24,32,20)c(24,40,12)-t(24,56,12)+-
s(32,48,20)s(24,40,28)*s(48,8,12)s(40,32,28)+s(24,40,12)--
s(48,8,12)c(24,24,20)c(40,32,20)c(24,32,20)t(24,16,12)-*++
c(32,32,20)s(40,24,28)*s(32,40,28)c(32,32,20)s(40,24,28)+**
c(24,32,20)c(40,24,20)s(8,24,12)c(40,16,12)+s(24,24,28)*-*
s(24,40,28)s(8,32,12)-t(40,24,20)-t(32,40,28)t(24,32,28)+*
s(48,16,20)s(24,32,20)t(48,32,12)+-c(24,24,12)+t(32,24,20)+
s(40,40,28)s(40,40,12)t(24,24,20)+s(24,24,28)*t(24,48,20)+*
s(40,24,12)s(48,8,12)+t(24,32,12)s(24,48,20)+s(32,32,20)-+
c(40,48,12)t(24,48,28)t(40,32,20)s(48,16,12)-c(16,16,12)+-+
c(32,32,28)s(24,24,28)s(32,40,20)*-s(40,32,20)*c(40,24,20)*
s(48,40,12)s(16,40,20)+s(24,40,28)t(24,24,20)-t(24,48,12)--
t(32,40,28)c(40,40,20)s(16,16,20)c(32,16,12)++s(40,16,20)-*
c(40,48,12)s(48,8,12)+s(16,48,20)+s(16,24,20)s(32,16,20)++
s(40,40,28)s(24,24,20)c(40,24,20)s(48,24,20)*-c(16,32,12)+-
c(32,32,20)t(32,32,20)c(24,24,20)*t(48,16,12)+*s(48,24,12)+
s(24,32,20)c(24,48,12)-s(16,48,20)+s(24,32,28)*c(40,32,20)*
c(32,32,20)t(24,32,28)*c(40,16,12)t(48,40,12)t(32,32,20)++*
s(24,24,28)t(24,32,28)s(24,24,12)t(40,24,12)++*s(24,40,28)*
s(32,32,20)s(32,48,20)t(24,32,28)s(32,32,20)+-s(16,32,20)+*
s(40,32,20)t(24,48,28)t(32,48,20)*-s(24,48,20)c(16,40,12)++
c(24,40,12)s(16,32,20)t(32,32,20)-s(16,24,20)++s(24,40,28)*
s(24,48,20)t(32,40,28)+c(32,24,20)s(32,32,28)*c(40,40,20)**
s(24,32,28)t(32,32,12)-t(48,48,12)c(16,16,12)++s(24,32,28)*
s(24,32,28)t(32,24,12)s(48,16,20)+-t(32,32,28)c(24,32,20)*-
s(24,24,28)s(40,32,28)s(48,48,20)c(40,32,12)+c(40,40,12)-+-
t(24,40,28)t(48,16,12)+s(8,16,12)t(32,32,20)s(16,40,20)++*
c(32,32,28)c(48,48,12)-c(40,24,20)-s(24,24,20)c(40,24,12)--
c(40,24,20)c(40,32,12)s(16,40,20)s(24,32,20)*+c(40,32,20)**
s(40,32,28)s(32,24,20)c(24,16,12)-*s(48,8,12)+c(32,32,20)*
s(24,32,28)t(24,40,28)*s(24,24,28)s(48,40,20)-c(48,24,12)++
s(48,24,12)s(8,32,12)+c(40,32,20)s(16,24,20)c(16,40,12)-+*
t(40,32,20)t(24,16,12)+t(32,16,12)+s(40,32,28)s(40,32,12)-*
s(32,24,28)s(32,32,28)s(40,32,28)s(32,32,28)c(24,32,20)*-*-
t(32,40,28)s(48,40,12)c(40,40,20)t(32,48,28)*+t(32,48,20)*-
s(24,16,20)c(32,40,12)+s(16,32,20)c(24,48,12)-+s(32,40,20)+
t(32,40,28)s(16,32,20)-s(16,16,20)c(24,24,20)s(48,24,20)-*+
t(16,56,12)t(24,24,20)+s(40,16,12)+c(16,32,12)-s(16,48,20)-
t(32,24,20)c(40,40,20)s(32,24,28)c(40,32,20)t(40,24,12)-**-
s(24,40,20)c(24,24,20)+s(32,48,20)t(40,32,12)-s(24,32,28)*-
s(40,32,28)s(32,24,28)+s(48,40,20)-t(32,32,20)s(32,40,20)*-
t(32,48,28)s(24,40,20)s(40,32,12)-t(16,24,12)++c(32,48,12)-
c(24,16,12)c(24,40,20)s(48,16,12)s(40,40,20)+*+s(32,16,20)*
c(32,32,20)s(8,32,12)s(40,16,20)+s(48,40,12)+s(40,48,20)+*
c(24,40,12)c(40,40,20)+c(32,32,20)s(32,24,20)+*c(40,24,20)*
c(40,40,20)c(40,32,12)s(24,32,12)s(24,48,20)++s(32,32,12)--
s(40,24,28)t(32,32,28)c(40,32,20)s(32,48,12)-*c(48,48,12)--
s(24,40,20)s(32,48,20)c(32,40,20)c(32,24,20)+s(32,24,12)-**
t(24,32,28)t(32,40,20)s(24,24,20)s(16,40,20)--t(24,48,28)++
t(16,40,12)c(32,32,20)s(32,40,28)c(32,32,20)s(16,32,20)*--+
s(32,40,28)t(48,40,12)-s(40,24,20)s(16,32,20)+*s(24,32,20)*
c(24,16,12)t(32,40,20)c(40,32,20)c(32,32,20)**c(40,24,12)++
s(48,48,12)s(48,32,20)c(32,24,20)s(24,40,28)-+s(40,40,20)-+
t(24,48,28)s(32,32,12)+s(24,32,12)t(48,48,12)+-s(24,24,28)-
c(40,32,20)s(24,32,20)s(24,32,28)c(40,32,20)+s(8,40,12)-**
c(32,32,20)t(48,32,12)-c(40,24,20)s(32,32,20)*-s(24,24,12)+
c(24,32,12)s(40,16,20)+c(32,40,20)s(24,48,20)c(24,40,20)+**
t(24,48,20)s(24,24,20)+s(8,24,12)+s(16,24,20)s(40,24,20)-*
s(24,32,28)s(24,32,20)s(16,32,20)s(32,40,28)c(32,32,20)**--
s(48,32,20)s(48,24,20)*s(24,24,28)s(8,40,12)-c(24,40,20)*-
s(40,40,28)s(32,32,20)*s(32,24,28)s(32,32,28)**s(24,16,20)-
t(24,32,28)s(24,40,28)*s(40,48,20)t(32,48,28)c(16,40,12)-*-
c(24,24,12)s(32,16,20)t(32,32,28)-+s(48,24,20)-t(16,40,12)+
t(40,48,20)s(48,40,20)+c(32,24,20)s(32,24,28)s(48,24,12)-+-
t(40,48,20)s(16,40,12)+s(24,40,12)-t(24,40,28)s(40,32,28)--
t(40,40,12)c(24,16,12)+t(40,24,20)+s(40,40,28)c(16,24,12)+*
s(40,24,28)s(32,16,20)s(40,32,20)s(48,32,20)t(48,40,12)-*-*
s(40,48,12)s(24,40,20)s(24,24,28)*+s(24,40,20)s(32,24,20)++
c(24,32,20)s(32,32,20)c(32,24,20)c(24,24,12)-*-t(40,40,20)-
s(24,32,20)s(16,48,12)-s(24,24,28)c(32,40,12)c(16,24,12)+**
t(32,32,28)t(24,40,28)s(16,32,12)t(40,48,20)+*t(40,40,20)+-
c(24,24,20)s(32,40,20)*s(8,16,12)+s(32,40,12)-t(16,16,12)-
c(40,32,20)c(48,48,12)s(24,40,20)s(48,40,20)-+*t(24,24,20)+
c(24,24,20)t(32,40,20)-s(32,40,20)-s(32,24,28)*c(40,32,20)-
s(40,24,20)s(16,32,12)c(32,48,12)+s(24,16,12)+-c(24,40,12)+
c(24,40,12)s(24,40,28)s(40,48,20)t(48,16,12)+-+c(40,32,20)+
s(48,24,20)c(40,40,20)c(24,24,12)-t(24,48,20)+-c(16,24,12)+
s(40,24,28)c(32,40,12)s(24,32,12)+c(32,40,20)t(32,48,28)-+*
s(40,24,28)t(16,32,12)s(24,32,12)t(40,24,20)++-c(24,32,12)+
c(48,32,12)c(40,16,12)+c(32,24,12)c(16,16,12)s(40,32,12)++-
t(32,40,28)t(24,40,28)+t(48,48,12)t(16,48,12)s(40,16,12)++-
t(32,24,20)s(40,40,28)c(32,32,12)--s(48,16,20)c(16,40,12)++
c(24,24,20)s(32,24,28)s(24,8,12)-s(16,32,20)t(16,16,12)---
s(32,32,20)s(24,40,28)*s(32,24,20)s(8,48,12)+s(32,32,20)*+
s(40,32,28)s(16,32,20)c(16,16,12)-t(40,16,12)+*s(48,48,12)+
s(40,16,12)t(40,24,20)+c(24,24,12)t(32,24,12)t(24,48,20)++-
c(32,40,20)c(40,24,12)t(24,32,28)t(16,56,12)s(8,32,12)+-+*
c(24,40,20)s(24,40,12)-s(32,24,20)s(40,8,12)+t(32,32,12)--
t(40,32,20)c(40,24,12)+t(24,24,20)t(32,32,12)++t(32,48,28)-
s(40,32,28)s(32,40,28)*s(48,24,12)s(32,32,20)+c(32,24,12)-*
t(32,40,20)s(32,40,28)s(24,40,28)c(40,40,20)*-+s(40,40,20)-
s(40,40,28)c(32,16,12)t(32,40,28)s(24,24,20)-s(48,40,12)-+*
c(24,48,12)s(16,24,20)c(32,40,12)+t(24,32,28)-+t(24,48,12)-
s(32,24,28)c(32,32,20)*t(24,24,12)-s(40,40,12)+t(24,40,20)-
s(24,40,20)t(32,32,28)s(48,16,20)c(40,32,20)*++s(40,40,20)*
s(24,40,20)c(32,32,20)s(40,32,28)*t(32,40,20)s(48,48,20)+**
s(16,16,12)s(32,48,20)s(32,48,12)c(40,32,20)t(48,48,12)-+*+
s(32,24,20)s(40,48,20)-s(24,24,20)c(32,24,12)--t(48,32,12)+
s(40,32,28)t(40,24,12)s(40,24,20)t(40,24,12)-s(32,32,12)-+*
c(32,32,20)t(40,48,20)+c(24,16,12)+c(32,40,20)s(24,16,20)--
c(40,40,20)t(40,48,12)-s(40,40,28)s(24,32,28)s(32,32,28)***
t(32,32,28)s(48,40,20)t(32,48,28)s(24,40,28)*t(40,24,20)-++
t(32,40,28)c(32,40,20)t(40,48,12)c(16,16,12)+s(24,8,12)--*
c(40,32,20)c(32,32,20)*t(32,40,28)s(32,48,12)-s(24,24,28)**
s(32,32,20)s(40,40,28)s(24,48,20)*s(24,40,20)s(32,40,12)-+-
c(24,40,20)s(24,24,12)c(16,48,12)+s(24,32,28)*-c(32,32,20)*
c(24,24,12)t(40,32,12)c(32,32,20)s(40,32,20)c(24,32,20)*-++
t(48,32,12)c(40,32,12)+t(32,32,28)+c(32,16,12)+s(16,24,20)-
c(32,24,20)s(8,16,12)t(32,32,20)++t(48,32,12)c(24,16,12)+*
t(48,32,12)s(16,48,20)c(32,32,28)c(24,24,20)-c(32,48,12)--+
c(32,24,20)t(32,48,12)t(24,48,20)s(32,24,12)+c(40,32,20)*+*
t(32,16,12)s(32,32,28)s(16,40,20)*t(32,24,12)++c(40,48,12)+
s(32,16,12)s(16,40,20)c(24,24,20)c(40,16,12)+-+s(24,24,20)-
s(40,24,20)c(40,32,20)*c(32,48,12)+s(48,32,12)-t(32,40,28)*
s(48,8,12)c(32,40,20)+t(24,40,20)-t(48,40,12)-c(40,32,20)-
s(24,24,20)s(24,40,12)t(40,48,12)+-s(40,48,20)t(32,32,20)-+
s(48,16,20)s(40,24,28)c(32,32,28)*s(40,48,20)-*t(40,32,12)-
c(24,24,20)s(40,24,28)s(16,40,20)+c(32,32,20)--s(16,16,20)*
t(24,32,12)s(32,40,28)t(32,48,28)*+s(40,40,28)*t(24,32,12)-
s(24,40,20)c(24,24,20)s(48,16,12)s(24,32,20)+s(40,24,12)-**
s(24,32,28)s(40,24,28)*c(24,40,12)-c(24,32,20)s(40,32,28)**
t(24,48,12)t(40,32,12)+s(16,40,20)+s(16,40,12)-s(32,40,28)*
c(40,24,20)t(40,48,20)-s(48,16,20)*s(24,16,20)s(40,24,28)*-
s(24,24,20)t(24,48,12)+s(16,24,20)t(40,24,20)+t(24,32,28)--
t(24,48,28)c(40,40,20)t(32,32,28)t(24,32,28)*-s(24,32,20)++
s(40,24,20)s(48,40,20)t(24,40,12)s(40,32,20)+s(40,40,20)*-+
s(40,24,28)s(40,40,28)c(32,24,20)--s(32,40,12)-c(24,32,20)*
s(24,32,20)s(24,24,28)t(32,40,28)t(24,40,28)*t(32,48,28)*-*
t(32,56,12)c(24,40,20)s(32,40,28)*c(16,48,12)t(32,48,12)+*+
t(32,40,28)s(40,48,12)s(40,24,28)s(40,48,20)-+s(32,32,20)**
s(24,40,28)c(32,40,20)+s(24,24,28)s(24,40,28)s(32,48,20)-*-
s(24,32,20)s(16,48,20)c(24,32,20)t(32,48,28)*+*t(24,24,20)+
c(32,40,12)s(24,24,20)+s(16,40,12)-t(24,24,12)-s(32,32,28)*
t(24,32,28)t(32,32,28)s(24,32,28)s(32,40,28)c(40,40,20)****
c(24,32,20)c(40,40,20)*t(16,56,12)+c(40,24,12)-s(24,16,20)+
s(48,40,12)c(24,16,12)+s(24,32,20)s(32,24,12)-c(40,24,12)++
s(32,40,28)s(16,8,12)s(40,24,12)+s(32,8,12)t(40,40,12)+++
s(48,40,20)t(48,56,12)s(40,8,12)+t(32,32,28)+c(32,32,28)**
c(40,24,20)t(40,32,12)-s(32,32,20)*t(32,16,12)+s(32,32,20)*
c(32,32,28)s(24,16,20)*t(40,32,20)s(24,48,20)s(40,40,28)*--
s(32,24,20)c(24,48,12)s(32,24,20)s(24,40,12)-+t(24,48,28)*-
s(32,48,20)c(24,40,12)-t(40,56,12)s(48,40,20)+c(32,40,20)+*
s(40,32,28)s(48,32,20)t(16,16,12)+s(32,24,12)-+c(40,24,20)*
s(48,32,20)s(40,32,28)s(40,40,20)c(32,24,20)*-*s(40,48,12)-
t(40,40,20)t(40,48,20)t(24,48,28)s(40,48,12)--+s(40,32,12)-
s(24,32,28)t(16,32,12)-s(16,24,20)t(24,48,28)--t(16,48,12)-
t(32,24,12)s(32,48,20)+t(40,32,12)-c(32,32,28)*t(24,32,20)+
s(40,24,20)t(24,16,12)c(32,24,12)c(48,32,12)++*s(32,40,28)+
t(24,40,28)c(40,40,20)-t(16,32,12)+c(40,16,12)+c(32,32,20)*
s(32,40,20)c(40,24,20)+s(8,40,12)+s(32,24,20)s(40,32,20)*-
s(24,40,12)s(40,40,20)+t(48,48,12)-t(24,48,20)+c(24,24,20)*
t(24,40,12)c(40,24,20)s(48,40,12)+s(32,24,20)+s(32,16,12)-+
s(24,24,28)s(40,16,20)c(48,24,12)-+s(32,16,20)c(24,16,12)--
s(32,40,28)c(40,24,20)c(32,32,20)*t(32,48,20)-*s(48,32,12)+
t(24,48,20)s(48,40,20)s(24,40,20)t(24,40,28)*+c(24,40,20)**
s(32,32,28)t(16,48,12)s(16,24,20)+t(48,48,12)+-s(32,48,12)+
s(24,48,20)s(48,48,12)s(24,32,28)c(24,24,20)t(24,24,12)-+++
s(16,40,12)c(32,16,12)s(24,8,12)++c(32,24,12)t(24,40,12)++
c(24,32,20)s(32,48,12)-s(40,32,20)t(40,48,20)--t(24,32,28)*
s(32,32,28)c(24,32,12)c(40,24,12)+c(24,32,20)+*t(16,24,12)-
s(32,40,20)s(24,48,20)c(24,32,20)s(48,48,20)-*-s(24,32,28)*
c(24,24,20)s(24,48,12)c(32,24,20)s(48,40,20)-t(24,48,20)-+*
s(24,24,28)c(32,32,20)c(32,40,20)*-t(40,56,12)+t(24,40,12)+
c(32,32,28)s(48,16,20)s(24,16,20)t(32,40,28)--c(40,24,12)+*
s(16,48,20)s(48,16,12)s(32,40,28)+s(32,24,28)*+c(16,48,12)-
s(48,16,20)s(40,32,28)+c(24,24,20)c(32,24,20)*t(40,32,12)-*
t(48,24,12)s(40,40,20)t(32,32,28)+c(40,24,12)-+s(48,40,20)+
s(32,16,12)c(48,40,12)c(40,40,12)+t(32,16,12)+s(24,40,28)-+
c(40,24,20)s(40,24,28)t(24,32,28)-c(32,32,20)s(48,40,20)*-*
s(24,40,20)s(40,24,28)s(40,32,28)s(40,40,28)*s(32,32,20)**-
s(40,40,28)s(16,48,20)c(48,32,12)+s(24,48,20)c(32,24,20)-*-
s(32,40,28)s(24,24,20)+s(40,16,20)-t(48,24,12)s(16,48,12)+-
s(24,40,28)s(16,24,20)+t(32,48,28)s(24,32,28)-s(40,32,20)+*
t(24,32,20)s(32,40,20)+s(24,24,28)*c(40,24,20)s(48,40,12)+*
s(32,24,20)c(16,48,12)c(32,32,20)t(40,24,20)*+s(8,40,12)+-
s(48,16,12)c(24,40,20)s(40,40,20)t(16,16,12)+*c(40,24,12)++
s(32,32,28)s(32,16,20)-s(48,40,20)s(24,16,20)s(32,32,28)+*-
s(40,40,20)c(32,32,20)c(24,32,12)-c(24,24,12)t(16,40,12)+-*
c(32,32,20)t(24,48,28)c(24,40,20)*s(24,32,12)-c(24,24,20)++
s(24,32,20)s(16,48,20)c(32,32,28)*-c(24,24,12)+s(16,32,12)-
s(16,24,20)t(24,40,12)+s(32,24,20)s(32,40,28)*c(40,32,20)*-
t(24,16,12)c(40,32,20)s(24,40,20)-+s(32,40,28)+c(24,32,20)-
s(16,16,12)t(40,40,20)+s(16,24,12)+t(24,32,12)+t(32,40,28)-
s(16,8,12)t(40,16,12)t(32,32,20)++s(48,48,12)+s(24,32,28)*
c(24,32,20)c(16,32,12)-c(48,48,12)t(48,16,12)t(32,48,28)+++
c(48,16,12)s(48,40,20)s(16,24,20)s(40,40,28)+t(40,48,20)--+
s(40,24,20)s(48,40,20)+s(32,32,28)s(16,40,20)-+t(40,16,12)-
t(24,48,12)s(40,40,12)c(40,24,12)+s(40,16,20)++s(16,24,12)+
c(24,32,20)s(40,32,12)-t(32,24,20)s(32,32,20)*+s(40,32,20)*
c(24,32,20)s(8,32,12)-c(32,32,28)s(40,32,28)--s(40,24,20)*
s(32,32,28)s(32,8,12)+s(32,40,20)c(16,32,12)-*s(16,40,20)-
c(24,40,20)c(32,24,12)s(16,40,12)s(16,24,20)t(24,16,12)-++-
t(40,32,12)s(24,40,20)c(40,24,20)s(24,48,20)t(24,32,12)-+*+
t(48,56,12)c(24,24,20)+s(40,8,12)t(32,48,20)s(32,24,12)++*
s(32,40,20)c(24,32,20)s(40,40,28)-s(40,16,20)-t(32,32,20)+*
s(24,8,12)c(32,40,20)c(48,24,12)-s(40,40,12)-t(32,48,20)-+
s(24,24,28)s(32,32,28)+t(16,24,12)t(16,40,12)+-s(24,40,28)*
s(24,40,28)s(32,24,12)-s(32,40,20)*s(16,8,12)+t(32,48,28)-
s(40,32,20)c(24,24,20)t(32,32,28)*s(32,48,20)t(24,32,12)---
s(24,40,28)s(32,40,28)t(32,32,12)-*c(24,16,12)c(24,32,20)+*
c(32,40,12)c(24,32,20)c(24,40,20)t(24,40,28)*-t(48,56,12)++
t(24,24,12)c(40,32,20)s(40,40,20)s(32,24,28)*-+s(48,16,20)-
t(32,48,20)c(24,32,20)+s(32,32,28)c(32,24,20)--c(16,16,12)-
s(48,48,12)c(40,16,12)+s(24,24,12)+c(32,32,20)*s(40,8,12)+
c(32,32,28)s(16,24,20)*t(40,24,20)+t(40,32,12)-s(32,48,12)+
s(16,48,12)s(24,16,20)c(24,32,20)+c(16,16,12)-c(40,32,20)*+
s(16,32,20)t(32,40,28)s(32,48,20)--s(24,24,28)s(40,32,28)*+
c(24,24,20)s(16,16,20)*s(40,24,20)t(32,48,28)+t(32,32,28)*-
c(16,32,12)s(40,32,20)+c(48,48,12)-s(32,24,28)*s(48,48,20)+
s(40,24,12)s(24,16,12)+s(16,16,12)+c(24,40,20)-s(48,40,20)-
t(24,32,28)s(16,24,12)-t(32,40,12)-s(8,40,12)+s(40,40,28)-
s(48,40,20)t(40,16,12)s(16,40,20)+t(16,48,12)-t(40,24,12)+-
s(32,48,20)c(24,32,20)s(16,40,20)*s(40,32,20)+s(16,32,12)-*
c(24,40,20)c(24,40,20)s(40,32,20)*-t(24,40,28)+s(8,32,12)-
c(40,40,20)c(40,16,12)c(24,24,20)+t(16,24,12)-s(24,48,20)++
s(32,40,28)c(24,32,20)*t(32,48,20)t(32,24,12)s(8,8,12)++-
s(8,40,12)s(40,32,28)+s(16,40,20)s(24,32,28)*s(24,24,28)*-
c(24,40,20)s(32,40,12)t(32,24,20)++s(48,16,12)s(24,48,20)+*
s(32,40,20)c(16,16,12)s(24,32,20)s(32,24,20)*++s(48,40,20)*
t(40,16,12)t(24,48,28)c(32,32,28)s(40,16,20)-*s(24,24,12)++
c(40,32,20)s(24,40,28)s(48,24,12)c(16,32,12)c(48,48,12)++--
s(24,32,28)s(32,16,12)c(24,32,12)+s(16,40,12)+c(40,40,12)+*
c(40,32,20)c(32,40,20)s(24,32,20)c(40,40,12)-t(16,32,12)--*
s(48,32,20)c(32,24,20)s(24,16,20)--s(48,40,20)t(32,32,28)-+
s(24,48,20)t(24,32,20)t(40,24,20)+s(16,48,20)-+s(24,24,20)*
s(40,32,28)s(48,48,20)s(40,40,20)*s(32,16,20)+-c(40,40,20)*
c(48,16,12)s(40,40,12)t(24,48,28)+s(40,48,20)*+t(24,32,28)+
c(48,48,12)t(24,32,28)c(32,32,20)*s(32,32,20)*+t(40,40,20)*
s(16,48,20)s(16,32,20)-t(16,24,12)+s(48,24,20)s(40,40,20)-+
s(40,32,20)t(16,56,12)+t(40,16,12)-t(32,48,28)+s(24,32,20)*
t(48,56,12)c(40,32,20)c(40,40,20)*s(40,48,20)s(32,40,28)**+
s(40,24,28)s(32,24,12)-s(48,48,20)+t(40,56,12)t(32,32,28)+*
s(16,40,12)t(24,32,20)+s(32,32,20)*s(48,24,12)+t(24,24,20)-
s(32,24,20)t(40,48,20)s(24,48,12)-+c(32,40,20)*s(32,16,20)+
s(32,24,20)c(24,24,12)t(24,40,20)+t(24,32,28)*c(16,48,12)+*
c(32,40,20)s(32,24,20)*s(40,48,20)s(32,32,28)*+c(16,24,12)-
s(24,24,20)t(32,24,20)-t(48,40,12)+s(40,8,12)+c(48,48,12)+
s(32,32,28)c(32,40,20)c(32,24,20)s(40,24,20)---t(24,48,28)+
s(32,40,28)t(16,40,12)-c(16,40,12)t(32,48,20)+*t(32,40,28)*
s(24,32,28)t(24,40,28)s(40,24,20)t(32,40,28)+*-c(32,32,20)-
s(32,48,20)s(40,32,28)+s(16,48,20)-t(32,40,20)-t(24,24,20)-
s(24,24,28)c(32,32,20)+t(24,24,20)-c(40,32,20)t(24,48,12)++
s(48,40,12)s(24,16,20)+t(16,24,12)-s(32,16,20)s(24,40,20)--
s(24,32,28)c(32,24,20)t(32,48,28)-s(16,24,20)+*t(40,32,20)-
s(32,16,20)s(24,40,20)s(24,24,28)c(40,24,20)s(8,8,12)+*+*
c(32,32,28)s(24,40,28)s(24,32,28)t(16,40,12)-+*t(24,24,12)-
s(32,48,12)t(32,48,12)s(32,16,12)t(40,16,12)++s(24,48,20)-+
s(32,32,20)c(16,24,12)t(24,48,28)++t(32,32,12)-c(40,48,12)-
s(32,16,20)c(24,32,20)s(16,48,20)--c(40,32,20)+s(48,40,20)*
s(40,32,20)s(8,32,12)+s(24,32,12)+t(32,24,20)c(48,48,12)+*
c(24,24,20)s(32,16,20)*s(16,16,12)+t(32,32,28)t(24,24,20)--
s(48,24,20)s(48,16,12)-s(32,40,20)c(32,32,20)*+c(32,32,20)*
t(24,48,20)t(32,48,28)t(40,56,12)s(48,40,20)t(24,32,12)++*+
c(24,40,20)c(24,16,12)+c(24,24,20)t(24,16,12)-s(32,24,20)**
s(40,48,12)s(40,40,20)c(24,40,12)s(40,32,12)s(24,24,12)++*+
s(40,32,28)s(24,24,28)+s(32,48,12)s(16,16,20)+*s(40,24,28)+
s(40,40,28)c(48,48,12)t(40,32,20)c(32,40,12)+s(24,32,12)-+-
s(32,40,20)c(24,32,12)+t(40,32,12)-s(24,32,20)s(32,16,20)--
t(32,40,28)t(24,56,12)+c(32,24,12)c(24,48,12)+*t(24,40,28)*
t(32,40,28)t(24,40,20)*t(24,32,20)+s(16,16,20)c(24,40,20)-+
s(8,48,12)s(24,40,28)s(40,40,28)t(24,24,20)-s(24,40,20)+*+
s(32,24,20)t(32,40,28)t(24,16,12)+c(40,40,12)-c(24,40,12)--
s(16,16,20)c(32,32,20)-s(24,32,20)+c(40,32,12)-s(24,32,20)*
t(24,32,28)c(24,40,20)t(32,24,20)-s(40,40,28)*-c(24,24,20)*
c(24,32,12)s(16,48,20)+t(32,40,28)c(24,32,12)+s(40,48,20)-*
t(24,32,28)s(40,40,28)s(32,32,20)*s(40,32,28)s(32,40,20)**-
s(32,24,28)s(32,24,28)s(32,40,28)*t(32,32,12)-t(16,32,12)--
t(24,32,28)s(24,24,28)s(40,16,12)-+s(40,16,20)s(24,24,12)+*
s(24,40,12)s(40,40,20)t(32,32,28)*s(32,16,20)-+s(40,32,20)*
c(32,40,12)s(48,32,12)+s(16,40,20)t(24,32,20)-+s(32,32,20)+
s(24,48,20)c(24,40,20)+s(32,24,28)s(16,32,20)**s(32,24,20)+
s(24,40,28)s(32,32,20)*t(32,16,12)c(16,48,12)+t(32,24,20)+*
s(24,40,28)c(32,24,20)*s(24,32,28)s(32,48,12)-*t(32,32,20)+
c(24,24,20)t(48,24,12)c(32,24,20)s(32,40,28)*+-s(40,24,20)+
t(32,40,28)s(16,48,20)c(16,48,12)s(24,24,28)+*t(32,32,20)+*
s(24,40,20)s(40,32,20)s(32,48,20)t(24,16,12)s(40,16,20)++*+
c(32,24,20)s(24,16,20)-s(32,32,20)c(24,32,12)-+s(32,40,20)+
t(16,24,12)s(40,40,20)+s(24,24,28)s(24,40,20)--c(32,32,20)*
s(32,40,28)s(40,40,28)+s(24,32,20)s(32,40,20)*-s(24,24,20)-
c(40,40,20)t(24,48,20)s(32,40,12)--s(40,16,20)+s(24,48,20)-
t(24,40,28)c(40,48,12)+s(16,48,20)s(16,40,20)*c(32,32,28)*-
c(32,32,20)s(32,24,12)-s(24,16,20)-s(40,24,20)-s(48,24,20)+
s(24,24,28)s(40,24,20)s(40,32,12)s(48,40,12)t(16,48,12)+++*
s(24,32,20)c(24,40,20)t(16,24,12)t(32,32,20)+*t(24,32,20)*-
t(32,32,28)t(32,48,28)+s(40,24,12)-t(24,48,28)s(24,40,28)*-
s(40,40,28)c(32,40,20)*t(24,40,28)+t(24,24,12)t(48,24,12)+-
c(40,32,20)c(24,32,20)t(24,32,20)s(40,40,20)s(8,40,12)++**
c(40,32,20)c(48,40,12)s(24,16,12)+s(32,24,28)s(48,48,20)-+*
s(32,24,28)c(24,16,12)s(8,8,12)+*c(40,40,20)+s(48,48,20)-
c(24,32,20)s(8,8,12)s(8,16,12)+t(32,40,20)s(40,48,20)++*
c(24,48,12)s(32,32,20)+s(32,32,28)*c(32,40,12)t(40,32,20)+*
c(24,48,12)t(24,40,28)s(48,40,20)+s(16,32,20)*+s(16,48,20)*
c(32,32,20)t(24,48,28)*s(48,24,20)+c(40,32,20)s(24,32,28)*-
t(32,32,28)s(24,40,28)*s(32,40,28)s(48,48,20)-s(16,40,12)-*
s(32,16,20)c(24,48,12)+t(16,24,12)s(8,40,12)+c(16,40,12)+-
t(16,48,12)s(40,32,20)c(16,48,12)t(24,24,12)+-+c(24,40,20)-
s(40,16,20)t(32,40,28)t(40,24,20)+s(48,32,20)+t(40,32,12)-*
c(32,40,20)s(48,16,12)s(48,32,12)+t(32,48,28)+t(24,48,28)**
c(48,24,12)t(24,40,28)c(32,40,20)*+t(32,40,20)s(32,48,12)+*
t(32,32,20)c(24,24,12)+c(16,24,12)-s(24,24,12)-s(16,24,20)+
s(32,24,20)s(48,24,12)t(32,40,28)+*s(48,32,20)c(40,48,12)-+
s(24,40,20)s(32,24,12)c(48,40,12)+-t(24,40,20)+c(32,32,20)*
s(32,40,20)s(16,40,20)-s(32,16,20)s(32,8,12)-+s(32,40,20)*
c(24,24,20)s(40,16,20)s(48,16,20)++s(24,40,20)*s(48,32,20)+
s(32,40,28)c(24,24,20)c(48,16,12)c(24,40,12)++*c(40,32,20)*
t(24,16,12)c(24,40,12)s(40,16,12)+c(16,32,12)-+s(24,24,20)+
s(16,48,20)s(24,16,12)s(32,48,12)s(16,48,20)t(24,48,20)*++-
s(48,24,12)c(24,24,20)s(32,32,20)t(32,24,12)-*+s(32,32,28)*
s(16,24,20)s(16,40,20)s(40,40,28)s(32,32,20)t(40,24,20)+*--
s(24,32,28)c(40,24,20)t(24,40,28)s(40,16,20)++*c(32,24,20)-
s(32,32,28)s(24,16,20)s(48,16,20)c(40,40,20)s(40,24,20)*--*
t(32,40,20)s(24,24,28)s(24,24,12)t(40,48,12)+-+s(24,40,20)*
s(40,32,20)c(48,16,12)-c(32,24,20)*t(16,16,12)+c(32,40,20)*
s(32,32,20)t(24,32,28)s(24,24,28)**s(32,24,20)c(32,32,20)**
s(40,16,20)t(24,24,20)-s(40,32,28)t(24,40,20)-s(24,24,20)+*
s(32,40,28)s(32,16,20)-t(16,32,12)-c(32,16,12)c(32,40,20)++
s(32,32,28)s(48,16,20)-c(16,16,12)t(40,32,20)+t(32,48,12)+-
s(32,32,28)c(24,24,20)s(8,40,12)t(32,32,28)+--t(24,32,20)-
t(48,56,12)t(32,24,20)+c(24,32,20)s(40,40,28)s(32,40,28)**-
s(40,32,20)c(32,32,20)*c(32,24,20)s(32,48,20)+t(32,40,12)-*
s(16,32,20)s(24,24,12)t(32,48,20)c(32,24,20)-+s(32,24,28)++
s(16,8,12)c(40,32,20)s(32,40,20)*+t(32,40,28)*t(32,48,28)*
c(24,32,20)s(48,16,12)s(32,24,28)t(40,48,20)+s(24,40,28)-++
s(16,32,20)s(16,40,20)*c(32,32,28)s(32,48,20)-+c(40,24,20)*
t(40,32,12)s(48,16,20)+c(16,24,12)+c(40,32,20)c(40,40,12)-*
c(32,32,28)t(32,40,20)-t(24,24,20)s(40,24,12)-*t(40,40,20)+
s(40,32,12)t(24,48,28)s(32,40,20)*+t(32,48,20)t(24,40,12)--
t(24,40,28)t(24,32,28)s(32,40,20)**s(32,8,12)+s(48,48,20)-
s(32,16,20)c(24,40,20)+t(32,40,28)t(24,40,12)-c(48,32,12)+*
s(48,24,20)s(24,32,12)+t(32,40,20)+t(32,32,28)*s(40,24,12)-
s(24,40,28)s(16,40,12)s(48,24,20)s(48,24,12)s(32,16,20)+*+*
s(16,40,20)c(40,40,20)c(16,16,12)s(48,48,20)+s(8,40,12)+*+
s(32,32,28)t(24,32,12)-t(24,48,12)s(24,32,20)++t(32,24,12)-
s(24,48,20)s(48,40,20)-c(32,40,20)s(32,32,20)*s(32,24,20)++
c(48,16,12)t(32,32,28)t(24,48,20)-+t(24,32,28)+s(32,24,28)+
s(24,8,12)t(32,48,28)c(48,16,12)c(40,40,20)c(24,40,20)-+-+
s(48,16,20)s(40,32,28)s(32,32,28)*t(40,24,12)-t(32,24,20)-+
t(40,48,20)t(32,32,12)s(16,40,20)s(8,32,12)s(8,48,12)+*++
c(24,48,12)c(32,32,20)+t(24,40,28)t(24,32,28)t(24,24,12)-+*
s(16,16,12)c(32,24,20)s(24,24,28)*+s(48,32,12)s(24,40,20)+*
s(48,40,20)t(32,16,12)+c(40,32,20)c(32,32,20)+s(40,40,20)*-
s(32,48,20)s(48,48,20)c(32,16,12)s(40,40,28)c(32,40,20)-+--
t(32,32,28)t(40,16,12)s(40,48,20)c(40,40,20)t(32,32,28)+*+*
c(40,48,12)c(24,32,20)s(24,16,20)*+t(32,40,20)+c(24,24,12)-
s(24,32,28)s(32,48,12)c(40,24,12)+-s(40,48,12)+s(40,40,28)*
s(16,24,20)c(32,24,12)t(32,32,20)c(16,32,12)++s(48,32,12)+*
s(24,40,28)s(40,32,20)c(24,40,20)c(40,40,20)*-s(16,48,12)+*
s(40,40,28)c(48,16,12)c(24,16,12)s(48,48,12)+t(32,32,28)-++
s(40,40,28)t(32,48,28)s(16,48,12)s(24,48,12)+-t(32,48,12)+*
s(32,48,20)s(24,32,20)-s(48,32,20)s(32,24,28)*s(16,16,20)+-
s(24,40,28)c(16,32,12)-s(40,32,20)*c(32,16,12)+s(40,24,20)*
s(24,40,20)s(32,16,20)-c(32,24,20)+c(40,40,20)s(48,24,20)-*
c(32,32,28)s(32,32,28)s(24,32,28)*s(32,40,20)--s(32,24,20)*
c(32,40,20)t(24,24,12)-s(40,32,20)-s(32,48,20)s(48,16,12)+*
s(24,32,20)t(32,48,20)-s(48,40,12)t(24,32,20)+t(32,32,20)--
c(48,48,12)c(24,40,20)c(32,40,20)*+c(32,24,20)-s(40,32,28)*
s(16,16,20)t(48,40,12)+s(48,16,20)t(40,48,20)+s(48,40,20)+-
s(48,32,20)t(24,32,20)s(32,40,28)*+s(24,40,28)t(16,40,12)-*
s(16,48,20)s(32,32,28)-s(40,48,20)-t(24,40,28)+s(32,16,20)-
t(32,24,20)s(24,32,28)*c(32,32,20)c(32,24,20)*t(16,32,12)-*
t(32,48,20)s(16,40,12)t(24,40,20)++c(24,24,20)s(40,32,20)*+
s(32,40,20)s(24,40,20)*c(24,48,12)+s(40,40,28)*s(48,48,20)-
s(40,32,28)c(32,32,28)s(48,24,20)-s(16,16,20)+c(40,40,20)**
c(24,40,20)c(16,16,12)+s(48,8,12)s(8,48,12)+s(24,48,12)+*
s(32,48,20)c(32,32,28)s(48,16,20)-s(8,24,12)s(32,32,28)+**
s(48,16,20)c(16,40,12)+s(40,24,28)s(24,48,20)s(24,32,28)*+*
s(48,24,20)c(40,24,20)s(40,40,28)*s(40,40,28)s(40,32,20)--*
s(24,24,20)s(48,8,12)c(40,32,20)+c(24,32,20)*s(48,16,20)--
s(24,32,28)s(40,48,12)-c(24,16,12)-s(32,32,20)s(24,24,20)+*
s(24,48,20)t(24,32,20)c(24,32,20)s(16,32,20)**-t(32,48,28)*
c(32,32,20)t(16,48,12)+s(24,24,20)s(16,24,12)-c(24,32,12)+*
s(24,40,20)t(32,32,28)s(40,48,20)t(40,40,20)*-s(40,24,20)*-
s(40,24,28)s(16,16,20)s(16,24,20)*s(48,8,12)+*t(40,40,20)+
s(32,40,28)t(32,40,20)s(16,32,20)t(32,56,12)+c(32,24,20)*--
s(16,48,20)t(40,32,20)+t(24,48,28)t(40,48,12)-c(40,32,20)-+
t(32,32,12)s(40,48,20)t(40,32,20)-+s(40,40,28)c(40,32,20)**
s(24,24,20)s(32,40,28)*c(32,40,12)+s(48,32,12)+t(32,40,12)-
s(24,24,28)t(32,48,12)+s(16,40,12)-c(32,32,20)*c(40,48,12)+
s(48,32,20)c(32,16,12)+c(32,32,20)s(32,48,20)t(24,48,28)*-*
c(24,32,20)c(24,32,12)-t(40,32,12)-s(32,32,28)*s(48,48,20)-
s(24,48,12)c(24,32,20)t(48,40,12)+c(24,24,20)s(32,8,12)-*+
s(48,16,12)c(24,24,20)+s(40,24,20)t(32,48,28)-c(24,16,12)+*
s(40,16,12)s(16,40,20)s(48,16,12)s(16,16,20)+-+s(24,40,20)*
s(48,24,20)s(48,32,20)c(40,24,20)s(32,40,28)s(16,40,20)-**-
t(40,40,20)t(40,24,20)+s(32,32,20)s(32,40,28)s(40,24,28)*++
c(24,32,20)t(32,24,20)*t(32,48,28)s(48,16,20)s(32,32,28)+*+
s(32,32,28)c(32,32,20)t(24,40,28)+s(16,40,20)*+s(40,32,12)-
s(32,32,20)s(24,48,12)-c(32,32,20)c(40,32,20)*c(24,16,12)-*
c(32,24,20)t(40,48,20)s(16,48,20)+t(40,48,12)-c(24,40,20)*-
c(24,16,12)s(24,32,20)s(48,24,12)+s(16,24,20)-c(24,48,12)-+
s(16,16,12)c(32,24,20)s(40,32,20)-t(32,24,12)+s(24,16,20)*+
s(24,8,12)s(32,40,20)s(32,24,20)-s(48,48,12)+c(24,32,12)++
s(48,16,20)s(32,40,28)t(48,56,12)t(24,32,28)+s(8,32,12)---
c(32,32,28)c(16,40,12)-t(24,16,12)-s(40,40,12)-c(32,32,20)-
s(16,40,12)t(32,48,28)+t(40,32,12)c(40,24,12)s(16,40,12)++*
t(24,32,28)s(24,40,28)c(32,32,20)*s(16,8,12)+s(32,24,12)-*
t(24,32,12)c(24,24,20)c(32,24,20)t(24,16,12)-*c(40,32,20)*+
t(32,40,20)s(32,16,20)t(48,48,12)++c(48,48,12)s(16,16,20)+*
c(48,40,12)t(40,16,12)+t(32,40,28)s(32,24,20)*-s(40,8,12)-
s(32,40,28)c(40,24,12)s(24,48,20)+*s(24,48,20)s(24,32,20)+*
s(24,24,20)s(24,40,28)*t(24,32,20)s(48,40,20)-t(32,32,12)+*
s(24,40,28)s(48,24,20)-t(40,40,20)-s(24,40,20)t(24,24,20)-+
s(32,40,20)t(40,24,20)c(48,40,12)+s(40,40,12)--t(24,24,20)-
t(32,32,12)t(40,24,20)c(32,24,20)t(40,48,20)-*+t(32,48,20)+
t(24,24,20)s(32,40,28)c(24,40,12)-t(32,48,28)c(24,48,12)-*-
s(32,48,20)t(32,48,28)c(40,32,20)t(24,40,20)-+c(40,40,12)-+
s(24,24,20)c(16,48,12)c(24,24,20)+s(40,32,28)t(32,24,12)-*+
s(32,40,28)t(32,48,28)s(24,32,28)s(16,40,20)*-c(24,32,20)--
c(32,32,28)c(24,24,20)s(8,48,12)s(32,24,20)s(32,32,20)*+-*
s(16,16,20)s(8,48,12)s(8,8,12)c(24,32,20)+s(24,32,28)*+*
s(32,40,20)t(24,56,12)+s(16,24,12)+s(24,24,20)*t(48,48,12)+
s(32,24,28)t(40,32,20)-t(24,40,28)s(32,32,20)t(40,48,20)--+
c(32,32,20)s(16,48,20)t(24,32,28)-+s(48,16,12)+s(32,16,12)-
c(32,24,20)s(40,16,20)s(48,24,20)-s(16,48,12)+t(24,32,20)++
t(24,48,12)t(24,24,20)c(24,24,20)t(24,32,28)s(32,32,28)**++
c(32,16,12)t(24,32,20)+c(32,48,12)-s(24,24,28)s(16,16,20)-*
t(24,48,28)t(24,32,20)+c(16,40,12)-s(24,40,20)+c(40,32,20)*
s(40,24,28)c(48,48,12)+s(32,40,28)t(32,32,20)-+s(16,32,20)*
s(16,24,12)c(24,40,20)+s(24,48,12)s(32,40,12)t(16,24,12)++-
t(32,32,28)s(40,32,20)*c(24,24,20)c(32,32,20)*s(48,16,20)--
c(24,32,12)c(32,40,20)s(40,40,20)*+s(40,48,20)*s(32,32,28)*
s(24,24,28)t(40,24,12)t(24,32,28)+s(24,32,20)c(16,32,12)--*
s(32,8,12)s(48,48,20)s(48,40,20)*s(32,48,12)-+c(40,48,12)-
s(8,24,12)s(32,24,20)+s(24,32,28)t(24,16,12)c(40,40,12)+++
s(24,24,20)t(24,48,28)c(32,32,20)*s(40,32,20)+t(24,48,28)*-
c(16,16,12)s(48,40,20)+s(24,40,20)+t(32,48,12)-t(40,32,12)-
s(24,48,20)t(32,40,20)t(24,32,20)t(32,32,12)--s(32,48,20)+*
c(32,24,12)s(24,40,20)t(32,40,28)s(48,48,20)+*+t(24,16,12)+
s(40,48,20)s(32,48,20)*s(32,16,12)t(32,24,20)+c(24,40,20)+*
c(32,24,20)s(40,24,20)+s(40,32,20)*s(32,48,20)c(16,24,12)++
s(16,8,12)s(32,48,20)+c(40,16,12)c(32,40,20)s(8,8,12)++*
s(32,40,28)s(24,32,28)s(48,48,20)-c(24,40,20)+*s(32,32,20)*
s(24,8,12)t(32,32,28)c(48,40,12)-c(40,32,20)*+s(40,24,28)*
c(24,32,20)c(40,32,20)s(32,24,28)**c(24,48,12)+c(24,40,20)*
s(40,32,20)c(32,40,20)t(32,24,20)t(32,48,12)+t(48,32,12)++*
c(40,24,20)s(32,8,12)+c(48,16,12)c(40,40,12)+*t(16,40,12)+
c(24,32,20)c(32,24,20)c(24,24,20)+c(24,24,20)s(40,32,20)*--
c(32,24,20)c(40,32,20)c(24,16,12)-+c(24,24,20)s(48,48,12)+-
c(24,40,20)t(24,48,12)s(40,32,12)++s(24,32,12)-s(24,40,20)*
t(32,24,20)t(32,48,12)+s(40,32,28)*t(24,24,20)c(32,24,12)+*
s(16,48,20)s(24,24,20)s(24,40,20)*-s(24,16,20)s(32,24,28)+-
s(40,40,28)t(24,48,12)-s(16,16,20)t(32,56,12)++t(40,24,20)*
c(24,24,20)s(48,16,12)+c(24,40,20)s(32,48,12)-*s(32,24,20)+
c(24,32,12)t(32,40,20)+c(40,40,12)s(32,24,20)+s(16,16,12)+*
s(40,40,20)c(32,32,20)*t(40,40,12)t(40,16,12)+-t(24,32,28)+
t(24,32,20)s(48,40,20)s(40,40,28)t(40,32,12)-c(32,32,12)+*-
s(16,16,20)t(16,56,12)c(24,32,20)s(32,32,28)*++s(32,24,20)-
s(40,40,20)c(32,16,12)+t(24,32,28)s(16,48,20)-*s(24,8,12)-
s(32,16,20)s(24,24,28)+c(16,48,12)s(32,32,28)s(48,48,12)-+*
s(40,40,28)s(40,32,12)-s(16,32,20)s(16,48,20)t(32,32,28)-+-
s(24,40,28)t(32,48,20)c(24,24,12)+*c(40,48,12)t(40,56,12)+-
t(24,32,20)c(32,40,20)s(16,32,12)-t(40,24,12)-s(16,24,20)+*
c(40,24,20)c(48,40,12)-c(32,48,12)+t(32,48,28)s(24,40,28)**
c(32,32,28)s(16,32,20)-s(32,16,20)*s(24,24,20)c(24,40,20)*-
c(32,24,20)s(32,32,20)*c(24,48,12)c(32,40,12)t(16,40,12)++-
s(16,32,20)s(48,48,12)c(24,48,12)+-s(48,40,20)c(40,32,20)++
s(48,32,20)t(40,24,12)-s(16,40,20)t(24,24,12)+c(32,32,28)*+
t(16,24,12)t(32,24,12)c(32,32,12)+c(24,48,12)+s(32,24,20)*+
c(32,32,20)c(24,24,20)+t(24,32,28)-s(8,32,12)t(48,48,12)+-
c(40,24,20)c(40,32,20)t(24,24,20)+c(32,32,28)s(24,40,28)***
t(32,48,12)c(32,32,28)s(8,40,12)c(24,40,12)+-s(48,32,20)*+
t(24,48,28)s(40,48,12)c(32,24,20)s(24,40,28)c(16,40,12)--++
s(32,24,28)c(40,24,20)*c(40,32,20)*c(48,24,12)-c(32,40,12)+
c(40,32,20)c(24,40,20)*s(32,16,12)+c(16,32,12)c(32,48,12)++
s(32,24,20)s(16,48,12)+s(32,48,20)c(24,24,12)+*s(48,48,20)-
s(16,48,20)s(24,40,20)s(24,32,20)*-t(40,48,12)+s(48,16,20)+
c(48,32,12)s(40,24,28)s(48,40,12)-c(16,24,12)+s(40,24,20)*+
c(24,24,20)t(40,48,20)s(40,24,20)+*t(24,32,20)+c(24,40,12)-
s(32,40,28)c(48,48,12)-c(32,40,20)s(40,32,20)**s(24,8,12)+
s(24,24,20)c(40,48,12)+s(16,48,20)c(32,32,28)*-s(32,16,20)*
s(48,24,20)c(40,32,20)*t(24,32,28)+s(24,40,28)*s(32,32,28)*
s(16,48,20)s(16,32,20)t(24,32,20)+t(24,24,12)-s(24,24,12)+*
t(24,32,28)s(32,16,12)-c(16,16,12)t(40,32,20)s(8,8,12)++-
t(32,40,20)s(16,16,20)c(24,24,20)t(24,32,28)*-+s(16,16,20)*
s(16,32,20)s(24,40,20)s(16,24,12)c(32,24,12)+t(16,48,12)+*-
t(40,24,20)t(24,56,12)+c(16,40,12)s(32,8,12)++t(24,32,28)*
c(32,32,20)c(24,40,20)s(24,8,12)+c(32,32,20)*s(24,24,28)*-
s(16,24,12)s(32,48,20)c(40,40,20)*s(24,40,28)*+t(24,48,20)-
s(32,24,28)c(32,32,28)s(40,40,20)s(40,24,12)--*t(40,24,20)-
s(24,48,20)s(16,32,20)c(32,32,28)*t(24,48,12)-+t(32,48,12)-
s(48,24,20)s(48,16,20)s(32,40,28)c(24,32,20)s(16,48,20)*---
s(40,32,28)s(40,32,20)s(32,40,28)s(48,48,20)-*t(40,48,20)+*
c(24,16,12)t(24,48,20)s(40,16,12)++t(24,32,20)+t(32,48,28)*
s(24,32,20)s(48,24,12)c(40,32,12)+-s(24,40,28)*t(24,32,12)-
s(24,48,20)t(24,40,28)t(24,40,12)--s(48,16,20)s(40,24,20)*+
s(24,40,28)c(24,40,12)s(40,24,20)+s(48,24,12)-t(24,48,20)-+
c(40,32,20)t(48,32,12)-s(24,24,28)c(40,40,12)-s(48,16,20)--
c(16,48,12)s(48,48,12)+s(32,24,28)+s(40,24,12)s(40,48,20)+*
t(40,32,20)t(40,24,20)+s(48,24,12)s(32,16,20)+c(40,24,20)**
s(24,40,28)c(24,40,20)s(48,40,20)c(32,40,20)+*c(40,48,12)--
c(24,24,20)s(24,40,28)c(32,32,20)*t(24,24,12)-s(48,32,12)--
c(24,40,20)s(16,40,20)*s(32,48,20)t(24,40,28)s(16,8,12)+*+
s(24,32,28)s(40,16,20)-s(32,32,28)s(24,16,12)-*s(40,32,28)*
c(32,24,20)t(32,32,20)t(48,40,12)c(24,48,12)++t(24,48,20)-*
s(32,40,28)s(24,24,20)c(32,16,12)c(32,48,12)+-s(24,40,28)*-
s(40,40,28)t(32,40,28)-t(40,48,12)+s(48,48,20)t(16,40,12)+*
s(48,40,20)c(16,48,12)c(32,40,12)+-s(40,24,20)s(24,24,28)*+
t(24,48,20)t(32,24,20)+t(24,40,28)s(24,32,28)s(16,48,20)**-
s(32,24,28)c(40,40,20)*s(32,24,28)s(24,40,20)+s(16,32,20)*+
t(32,48,28)t(40,24,20)+s(32,48,20)t(32,40,12)-t(40,32,20)+-
s(40,48,20)c(16,24,12)s(40,32,28)s(24,32,20)t(24,32,28)**+-
s(40,32,20)c(32,40,20)c(40,40,20)+s(40,40,12)-+s(24,40,12)-
c(16,32,12)t(32,24,20)+s(40,32,28)s(40,8,12)+*s(48,40,20)+
c(40,24,20)s(24,24,28)s(32,32,20)c(24,32,20)*--s(24,32,20)-
s(48,48,20)c(32,32,20)s(24,32,20)*c(24,48,12)+t(32,24,12)--
t(32,40,20)s(16,40,12)s(40,16,20)+c(32,16,12)-t(24,32,12)++
s(16,24,20)c(32,40,20)t(32,48,28)--s(24,24,20)s(24,24,12)--
s(40,32,28)s(32,40,28)*s(32,16,20)c(32,40,12)+s(40,32,20)**
c(16,48,12)s(40,32,12)s(8,8,12)t(24,48,20)c(32,24,20)-+++
c(32,32,20)t(16,40,12)s(48,32,20)+c(40,32,12)-t(24,24,12)+*
s(24,24,28)s(32,32,28)t(40,24,12)-t(24,40,28)+*c(40,24,20)+
s(24,48,20)t(32,48,28)*c(24,40,20)s(40,16,20)+*s(48,48,20)-
s(40,40,12)s(48,16,20)+t(32,40,20)+c(48,32,12)t(16,24,12)+-
s(32,24,28)c(40,32,20)-c(32,24,20)*c(40,24,12)+t(40,40,20)-
s(8,24,12)s(32,40,28)s(48,32,20)*+t(24,48,20)c(32,32,12)-+
s(24,32,20)t(48,40,12)+t(32,40,12)-t(24,32,28)*s(8,16,12)+
t(24,40,28)t(32,32,28)s(16,32,20)s(40,32,28)---s(24,32,28)*
c(32,32,28)s(16,32,12)-s(48,16,12)-s(32,40,28)t(24,48,28)++
s(16,48,12)s(32,48,20)c(32,40,20)c(40,48,12)-*s(40,48,12)++
s(40,24,20)s(48,48,20)-s(24,32,12)+t(48,16,12)-s(40,16,20)*
s(24,32,28)s(32,32,20)s(24,40,28)c(24,32,20)*+c(24,24,20)+*
s(24,16,20)s(32,32,28)s(40,24,20)s(40,32,20)*-+s(40,16,20)-
s(16,24,12)s(40,16,20)+c(48,48,12)c(32,40,12)++s(24,32,12)-
s(32,32,28)t(32,24,20)-s(40,16,20)+t(48,24,12)t(40,40,12)+-
s(32,48,20)t(32,40,28)t(24,40,28)s(40,24,28)-+*s(24,48,20)*
s(24,32,28)s(32,40,20)c(40,48,12)+s(32,24,28)*t(32,40,12)--
c(32,32,20)s(40,24,20)s(24,32,28)+s(32,32,12)-*s(32,16,12)-
s(40,32,28)s(32,24,28)s(16,32,12)-t(32,40,28)*-t(40,40,20)-
c(32,24,20)c(24,32,12)s(32,40,12)t(32,48,20)++*t(24,32,20)*
s(40,40,28)c(24,32,12)-c(24,40,20)s(32,32,20)t(40,40,20)+*-
s(40,24,28)c(32,32,20)s(40,16,20)*-s(40,32,20)*t(24,48,12)+
t(32,32,28)s(16,32,20)c(40,40,12)+c(40,48,12)c(24,24,20)+**
s(40,40,20)c(32,40,20)*s(32,48,20)c(40,40,20)*c(16,48,12)-+
t(32,40,28)s(40,48,20)*s(40,24,28)c(24,40,12)-+s(32,40,20)*
s(40,32,20)c(40,24,12)-c(32,24,12)-t(32,32,28)s(16,32,20)*+
c(40,24,20)t(32,40,20)c(40,48,12)t(48,16,12)++t(40,40,20)*-
s(40,24,20)s(24,32,28)c(32,16,12)-s(48,48,20)-t(32,48,28)++
s(8,8,12)t(32,32,28)c(40,32,20)*+t(32,48,12)+s(32,48,20)*
s(48,48,20)t(32,48,12)+s(48,32,20)s(32,24,20)s(24,24,12)---
s(24,48,20)c(32,40,20)t(40,24,12)s(40,16,12)++c(32,24,20)*-
s(40,32,28)s(48,16,20)s(32,16,20)*s(32,48,20)+*c(32,48,12)-
t(24,32,20)s(48,40,12)+c(40,32,20)t(24,32,28)*s(32,48,12)+*
s(24,32,28)s(32,40,20)*s(48,32,20)c(40,48,12)-+t(32,40,28)*
s(24,24,28)s(24,16,20)t(40,40,12)+-t(32,56,12)s(48,24,20)++
s(40,40,28)s(16,32,20)s(16,48,20)t(40,40,20)+t(48,40,12)--+
s(48,48,20)t(32,48,28)s(40,40,28)*t(48,32,12)++s(24,40,20)*
t(32,40,20)s(32,24,20)c(24,32,12)-+s(48,48,12)+t(24,40,28)*
c(32,48,12)t(32,32,28)t(16,16,12)+t(24,32,28)+s(16,16,12)-+
s(40,32,28)t(40,48,20)+s(48,40,20)*s(40,24,28)*t(24,48,28)+
s(40,32,20)t(32,24,20)s(24,40,20)s(40,24,20)-+*t(16,56,12)+
c(40,32,20)t(32,32,28)c(32,24,20)+c(40,32,20)-+s(40,32,28)*
c(32,24,20)s(40,24,28)c(32,40,20)c(24,40,20)*s(24,48,12)--*
c(24,32,20)s(32,24,28)s(16,24,20)*s(32,40,28)+*s(24,40,12)-
t(24,40,28)s(40,24,20)t(24,48,28)s(32,32,20)s(24,24,28)*-+*
s(32,40,20)s(24,16,20)s(24,32,28)c(32,32,20)---c(32,32,20)*
t(32,48,28)s(8,16,12)+s(24,32,28)t(40,32,12)--t(40,48,20)-
t(24,40,28)t(48,32,12)c(24,40,20)+*s(32,24,20)-t(40,48,12)-
s(32,32,28)s(8,8,12)c(24,32,20)s(32,40,20)++s(24,48,20)**
s(40,48,20)t(32,32,28)c(16,48,12)+s(40,32,28)+t(32,24,12)-*
s(40,40,20)c(32,48,12)t(48,16,12)s(16,32,20)s(16,40,12)-++-
s(24,32,28)s(24,40,20)-s(40,40,20)s(32,32,28)*-c(40,40,20)+
c(32,40,12)s(40,40,28)s(40,24,12)-s(40,40,20)c(32,32,20)*-+
s(40,32,20)s(40,48,20)-t(40,32,20)s(32,24,20)+c(24,32,20)*+
s(32,48,12)c(40,48,12)+s(16,48,20)-s(48,16,20)+c(48,16,12)-
c(32,40,20)t(24,24,20)-s(32,48,20)s(8,40,12)+*c(24,32,20)*
t(32,32,28)s(48,24,20)s(24,24,20)s(32,8,12)---s(32,16,20)-
c(32,32,28)s(32,48,20)t(40,40,20)+c(24,24,12)s(48,48,20)++-
t(32,40,28)c(24,40,20)s(24,32,20)*c(40,32,20)*-s(40,40,12)-
s(40,24,28)s(32,24,12)c(48,32,12)s(32,32,12)+s(32,48,20)-+-
s(40,32,28)t(24,48,28)s(40,48,12)-s(48,40,12)+s(24,8,12)+-
s(40,32,28)s(32,32,20)s(8,48,12)s(32,32,28)c(32,16,12)-+**
s(24,24,20)s(16,16,20)+s(24,24,28)*s(16,40,20)t(24,16,12)+-
s(48,40,20)t(16,24,12)+c(24,24,20)s(24,40,28)c(32,40,20)*+*
c(48,32,12)t(32,40,20)+s(48,40,20)*s(48,16,20)+s(40,24,20)-
s(32,24,12)s(8,16,12)c(40,40,12)+t(24,16,12)+c(32,40,12)++
t(32,40,28)t(32,16,12)t(40,48,20)s(16,48,12)+c(40,32,12)-+*
s(16,32,20)c(32,48,12)s(40,24,28)+c(32,32,28)*+s(32,16,12)-
c(24,24,12)s(24,48,20)c(40,40,20)s(48,48,12)-+t(32,32,20)-+
s(16,16,20)c(48,24,12)+s(16,32,20)t(32,16,12)t(24,16,12)+-+
s(40,24,20)s(32,40,28)t(32,40,20)t(40,32,20)+t(32,32,20)+**
s(48,40,20)t(40,48,20)+t(24,56,12)s(40,32,28)++s(24,32,28)*
t(32,40,28)t(32,48,28)+s(32,32,20)s(24,16,20)+s(40,16,20)--
s(40,40,28)c(32,24,20)c(32,40,12)+s(32,16,12)-+t(24,40,20)*
t(24,40,28)t(16,16,12)+c(32,32,12)+s(32,32,28)*s(40,32,28)*
s(24,40,20)c(32,24,20)t(32,16,12)-t(40,24,12)-+t(24,48,20)-
c(32,32,20)s(24,48,12)+s(48,40,20)t(24,40,20)+*t(32,40,12)-
t(32,40,28)c(40,40,20)c(40,24,20)-+c(32,16,12)-c(32,24,20)+
c(40,40,20)s(48,48,20)s(32,40,28)*s(48,32,20)+*t(16,32,12)+
s(40,32,20)t(40,48,20)s(40,24,20)+s(40,16,20)c(32,16,12)--*
t(16,56,12)s(16,24,12)s(16,48,20)s(16,40,20)*++s(24,24,28)*
t(48,56,12)s(16,32,20)c(48,40,12)c(24,40,20)+c(32,40,20)*-+
t(32,56,12)c(24,24,20)+s(24,40,28)*t(32,24,20)+t(32,24,20)-
s(32,32,28)t(32,32,12)c(40,48,12)+s(16,40,20)--s(40,24,20)-
s(24,32,28)s(32,40,20)s(24,24,20)+*s(40,32,28)s(32,32,28)**
t(32,40,12)s(32,16,20)c(24,40,20)t(24,40,28)*c(24,32,20)*-+
s(16,24,20)t(24,24,20)-t(24,40,12)+s(16,32,20)s(8,48,12)-*
s(48,32,12)c(32,32,20)t(16,32,12)-s(16,48,20)+s(24,24,20)*+
c(40,32,20)s(32,24,28)*t(32,40,28)s(32,24,20)c(24,24,20)*--
c(48,40,12)s(32,40,20)+t(24,24,12)c(48,24,12)+-t(32,32,28)*
c(32,32,20)t(32,40,28)*s(40,48,12)-t(24,32,28)+c(40,40,12)-
s(24,24,28)t(32,48,28)c(24,40,20)s(32,40,28)**-c(40,24,20)*
c(32,24,20)c(32,16,12)s(32,48,12)+s(24,40,20)t(16,56,12)++*
s(24,32,12)t(32,40,20)s(16,8,12)++s(8,48,12)s(24,40,20)+*
c(24,32,20)t(48,56,12)s(16,32,20)+*s(32,40,12)+s(24,24,20)*
c(40,32,20)s(48,16,12)s(8,16,12)++c(40,40,20)+s(8,16,12)-
c(40,32,20)s(24,40,20)s(40,32,12)t(16,24,12)c(24,24,12)++--
c(40,40,20)c(24,32,12)-s(24,48,12)s(40,24,28)s(40,24,12)-+*
s(40,40,28)s(32,8,12)+s(24,48,20)*t(48,48,12)+s(32,8,12)+
s(24,32,20)t(48,32,12)+s(32,32,28)t(24,32,28)**s(48,48,20)+
s(40,32,20)s(32,32,28)c(16,32,12)-s(24,8,12)t(32,24,12)+-*
c(40,32,20)t(32,24,20)t(24,40,28)+s(32,32,12)s(40,16,20)+++
s(32,32,12)s(48,40,20)s(40,24,12)s(24,32,20)t(24,48,20)++-+
s(48,40,20)c(32,16,12)t(40,40,20)s(32,24,20)+c(24,16,12)-+*
s(24,16,20)c(24,16,12)c(48,32,12)++c(40,16,12)-t(16,24,12)-
s(48,8,12)t(40,24,20)s(40,40,12)++s(24,24,20)c(32,24,12)-+
c(24,24,20)c(32,32,20)s(40,8,12)s(32,32,20)+t(24,32,12)-**
c(48,32,12)c(40,32,20)c(40,40,20)*s(40,24,20)*t(32,48,28)++
s(32,40,28)t(24,48,12)s(32,48,12)+t(16,16,12)+t(24,32,20)--
t(40,48,20)s(40,32,20)s(48,32,20)*+c(48,24,12)-s(24,48,12)-
s(16,24,12)s(24,16,12)+s(32,40,28)+s(24,24,20)*s(16,16,20)*
s(24,48,20)t(48,24,12)s(24,40,28)t(24,40,28)s(40,40,20)*-+*
t(16,16,12)s(24,24,28)c(48,16,12)+t(40,48,20)+s(40,32,28)*+
s(32,40,20)c(40,24,12)s(32,48,20)s(32,16,12)+s(32,40,28)*+*
s(16,40,20)t(24,40,12)-c(32,24,20)-s(8,16,12)+t(40,16,12)+
c(24,40,20)s(24,32,28)s(40,40,28)c(32,24,20)*s(24,48,20)--*
s(24,32,20)s(32,24,28)s(8,16,12)s(40,40,28)+*t(40,48,20)-*
s(48,48,12)t(32,40,12)+s(16,32,12)+s(32,24,28)+s(48,16,20)*
s(16,24,20)t(32,40,20)+t(40,32,20)t(32,16,12)+-s(16,40,20)*
s(48,40,20)s(32,40,28)*c(24,40,20)s(40,40,20)s(24,40,20)*--
c(40,40,20)s(24,40,12)-s(32,40,20)t(24,24,20)+t(24,48,20)-*
s(40,32,20)s(48,16,20)-c(40,48,12)+t(24,32,28)s(48,24,20)+*
s(32,32,20)t(40,40,20)s(48,40,20)*-c(24,24,20)t(24,32,28)**
s(8,32,12)s(48,8,12)+s(32,32,28)c(40,24,20)*s(24,24,12)--
c(24,48,12)c(16,48,12)s(40,24,20)+s(48,32,20)*+s(16,16,12)+
t(32,40,20)t(32,56,12)c(40,40,20)s(24,32,28)s(16,48,12)-*+*
c(24,32,20)t(40,24,20)+s(40,24,12)-s(40,24,20)s(24,48,20)+-
s(40,8,12)s(32,32,20)+c(32,16,12)-s(32,32,20)*s(24,32,28)*
t(24,40,28)s(40,32,28)*c(32,16,12)s(16,48,20)c(32,48,12)++*
s(24,40,12)s(16,8,12)t(40,24,12)+s(16,48,20)+c(24,32,20)*+
s(24,40,28)t(24,40,28)s(48,40,20)+*c(32,16,12)s(48,24,20)++
c(32,40,20)s(32,32,28)c(24,40,20)t(24,40,28)t(32,24,20)-*-*
c(40,32,20)c(40,24,20)t(40,40,12)s(16,24,12)s(48,24,20)++**
s(32,48,20)s(48,48,20)*t(24,40,28)+s(24,32,28)+t(24,48,28)-
s(24,32,28)s(40,40,28)c(40,32,20)t(32,32,20)---s(16,32,12)-
t(16,48,12)s(40,24,28)t(24,32,20)+c(32,32,28)*s(16,40,20)-+
t(48,40,12)s(16,24,20)+s(40,16,20)-s(16,24,12)-s(24,24,20)-
s(48,24,20)t(40,24,20)*c(24,32,20)+s(24,40,20)c(40,48,12)+-
s(48,48,20)c(48,24,12)+s(40,48,12)-s(48,48,12)-s(8,40,12)+
t(32,32,28)t(32,56,12)c(32,32,20)+*s(32,16,12)-c(32,24,20)*
s(24,32,28)s(48,32,12)s(40,16,12)s(24,16,12)++t(48,24,12)--
t(32,48,12)s(24,32,20)s(40,24,20)c(32,24,20)*-+t(24,40,20)+
s(8,48,12)c(24,24,20)s(40,16,12)c(16,16,12)+*+s(24,48,12)+
t(32,24,20)t(32,40,28)s(32,48,12)c(32,24,20)c(40,40,20)*+++
s(32,40,20)c(40,24,20)*t(32,40,28)c(24,32,20)s(40,32,28)**+
t(32,48,20)t(24,48,28)s(40,40,20)t(32,32,20)+-+s(32,24,28)-
c(40,32,20)t(40,48,12)-s(32,32,28)s(24,48,12)-s(24,40,12)-*
c(40,48,12)t(32,32,20)c(24,32,12)+c(40,24,20)*s(32,8,12)++
s(40,32,20)t(32,24,12)-c(40,24,20)t(32,24,12)c(40,48,12)+-*
s(32,32,28)t(24,32,20)s(32,32,20)*-t(24,16,12)-c(32,16,12)-
s(24,32,20)t(40,32,20)s(24,32,20)+s(32,32,12)-*s(24,32,12)-
s(32,32,28)s(32,24,12)-c(24,24,12)-s(40,16,12)+s(32,32,20)-
c(24,24,20)t(48,40,12)t(24,32,12)+-s(40,32,28)*s(16,16,20)+
s(24,24,28)c(24,40,20)t(40,48,12)-s(40,40,20)+s(24,16,20)--
t(32,48,28)c(48,24,12)t(24,32,28)t(24,24,20)-+-t(24,48,20)-
s(32,8,12)t(32,40,28)s(40,24,12)-s(24,48,12)s(40,24,20)+-+
c(48,24,12)t(32,48,28)+c(48,48,12)-t(48,32,12)-c(32,32,28)*
s(48,32,12)s(32,24,20)t(40,16,12)-+s(40,32,28)*s(48,32,20)*
s(40,32,28)s(32,48,20)c(32,40,20)*s(48,24,20)-c(40,24,20)+*
s(8,16,12)t(32,40,28)s(24,40,28)t(32,32,12)s(8,40,12)+*-+
s(32,16,20)s(40,24,28)c(32,32,12)s(16,32,20)+-*s(16,16,12)+
t(24,48,20)s(32,32,20)+s(32,8,12)+t(40,24,20)s(48,32,20)++
s(48,32,20)c(40,32,20)t(48,48,12)t(32,40,12)s(40,24,20)++*+
c(40,16,12)t(24,32,28)+s(48,48,20)-t(32,32,28)s(40,40,28)**
s(32,40,28)s(24,48,12)s(16,24,12)s(48,16,20)++s(40,32,28)+*
s(40,32,28)s(32,40,28)s(40,32,20)s(48,40,20)--t(24,24,20)-*
c(32,24,20)s(24,16,20)*c(24,24,20)s(16,24,20)-t(24,40,28)+*
c(48,40,12)c(48,16,12)s(16,24,20)+s(48,24,20)-+t(32,40,28)*
c(24,40,20)c(16,16,12)+c(48,32,12)s(24,8,12)t(16,40,12)++-
s(16,32,20)s(48,40,20)+s(40,32,28)*s(48,24,20)c(32,24,12)--
s(24,48,20)t(32,32,12)-t(24,32,28)+c(40,40,20)-s(24,24,12)-
s(16,24,20)c(24,40,12)t(32,32,20)+-s(32,16,20)c(16,24,12)--
s(32,24,28)t(48,40,12)s(24,40,28)+s(48,32,20)-t(24,40,28)*-
c(24,40,20)s(40,40,20)c(32,32,12)-t(32,40,12)--c(32,40,20)*
s(32,8,12)t(32,48,28)s(24,16,20)+s(24,16,12)-s(16,48,12)-+
s(40,24,28)t(40,40,20)+t(24,40,28)+s(24,24,20)-c(40,24,12)+
s(40,32,12)t(24,24,12)c(32,16,12)s(32,48,20)c(16,48,12)-+++
s(32,24,20)c(32,40,20)t(16,56,12)+*s(32,24,28)s(32,16,12)-*
s(24,40,20)c(24,40,20)s(32,24,12)-t(24,32,28)t(24,40,28)***
c(48,16,12)c(32,32,20)+c(32,40,20)*s(24,40,20)s(16,16,20)-*
t(32,40,20)s(32,24,20)s(40,24,20)s(40,40,12)-*s(16,48,20)++
t(24,32,28)t(24,32,12)t(40,32,20)+c(48,32,12)-c(24,24,12)+*
c(24,24,20)c(40,24,12)-t(24,40,28)c(40,24,20)c(40,32,20)++*
c(40,24,20)s(40,32,20)c(16,24,12)t(32,48,28)t(24,40,28)++*-
s(24,24,20)t(32,40,20)+t(32,24,12)-s(32,32,28)*t(32,24,12)+
s(24,40,28)t(24,48,28)c(24,24,12)+*c(40,24,20)t(16,48,12)+*
s(24,40,28)t(48,16,12)s(40,48,20)+t(24,48,20)-c(32,32,28)*-
s(24,16,20)t(32,48,28)s(40,24,28)t(40,16,12)-+t(40,56,12)-*
s(40,8,12)t(24,24,20)t(40,56,12)s(24,40,12)++t(24,32,20)-+
s(48,16,20)t(40,32,20)-t(32,32,28)c(40,24,20)*+c(24,16,12)+
c(40,32,20)t(32,40,28)s(40,40,28)*s(32,16,20)-*t(24,24,12)+
s(32,40,28)s(40,24,12)-s(24,24,20)+s(24,40,28)*s(40,24,20)-
s(32,24,28)c(40,40,20)s(16,32,20)+s(8,16,12)t(40,56,12)+-*
s(32,24,28)t(16,40,12)s(40,16,20)+s(16,48,20)-*t(24,24,12)-
c(32,32,12)s(32,40,28)c(48,24,12)+c(40,24,20)-+t(48,40,12)+
t(40,40,12)c(32,48,12)+t(32,32,28)s(40,24,20)*-c(16,16,12)+
c(40,24,20)s(32,48,20)t(40,24,12)t(32,40,28)+s(40,40,20)*+*
s(40,32,20)s(32,48,12)-s(32,24,20)s(24,32,20)*+s(40,40,20)*
t(40,24,20)s(24,32,20)c(48,24,12)+c(24,32,20)*s(24,48,20)*+
s(48,32,12)c(16,24,12)+s(40,48,20)c(40,32,12)+s(32,40,20)*-
c(24,24,20)s(24,40,20)*c(40,40,20)t(24,40,28)s(24,16,20)-*+
s(8,48,12)t(32,48,28)s(32,40,28)*+s(24,16,20)s(32,40,20)-+
s(32,24,12)c(40,16,12)s(24,48,12)t(40,40,20)+++s(48,40,20)*
s(16,48,20)s(16,32,20)s(24,16,20)s(40,32,20)-s(24,24,28)*-*
s(24,40,28)s(16,40,20)s(32,24,20)t(48,48,12)+t(24,24,20)*--
s(24,32,28)t(32,40,28)c(40,24,20)c(24,24,12)--*s(32,32,20)+
s(40,40,28)s(24,40,20)c(16,32,12)++t(16,40,12)-s(40,32,28)-
t(24,32,28)s(40,48,20)-s(16,48,20)c(32,32,28)c(16,24,12)-+*
s(24,24,28)s(40,24,28)s(32,48,20)+*s(40,32,28)c(48,40,12)-*
t(32,32,12)t(24,48,28)s(32,40,28)*s(16,40,20)*+c(40,32,12)+
s(40,32,28)s(24,16,12)-s(8,40,12)s(40,24,20)s(16,16,20)++*
t(24,24,20)s(40,32,28)+s(24,40,28)*s(32,48,12)-c(40,16,12)-
s(32,24,28)c(24,24,20)t(32,40,12)-t(32,16,12)--s(8,24,12)+
s(40,32,12)c(16,24,12)s(16,40,20)++s(32,48,12)t(40,24,20)+-
s(40,16,20)t(40,24,12)s(16,48,20)+s(48,24,12)--c(40,40,20)-
c(32,32,20)c(24,48,12)t(48,56,12)+s(40,24,20)t(32,32,12)-+-
s(40,32,20)c(40,32,20)t(32,24,12)s(16,40,12)+-c(24,40,12)-+
c(24,16,12)t(24,32,28)c(24,24,20)*s(40,40,28)s(40,24,28)**+
s(48,24,20)s(48,32,20)s(24,32,28)s(16,48,12)-s(40,24,20)*-*
s(24,40,28)t(24,40,28)s(32,40,28)+*t(24,32,28)s(16,32,20)**
s(16,48,20)s(24,24,12)s(32,48,20)s(16,48,20)s(8,32,12)-*+*
c(16,24,12)t(40,32,20)+c(40,32,20)c(40,24,20)+t(32,32,12)-+
c(40,40,12)s(16,16,12)+s(40,40,20)s(8,32,12)+s(40,24,28)*-
s(32,40,28)t(40,32,12)-t(32,48,28)+s(32,40,20)t(40,40,20)*-
s(8,8,12)t(32,48,20)+t(24,40,12)-s(48,40,20)s(48,16,20)-+
s(40,24,28)t(24,16,12)-s(40,48,20)+t(32,48,28)*c(32,32,20)*
s(32,40,28)t(32,32,28)s(16,48,20)+*s(24,48,20)*s(24,24,12)+
t(48,24,12)s(40,40,20)+c(16,40,12)c(32,16,12)+s(16,40,20)++
c(32,24,20)c(24,40,20)s(40,40,20)*+c(32,48,12)t(48,56,12)++
s(40,32,20)s(32,32,28)c(40,32,20)s(24,32,12)-**s(24,32,28)+
s(32,40,28)s(8,24,12)s(40,16,12)c(16,24,12)+c(32,32,20)*+-
s(24,48,20)s(32,40,20)s(32,32,20)s(16,24,20)-*-c(40,32,20)-
s(48,40,20)c(40,40,12)t(32,24,12)+-s(40,32,12)+c(24,32,20)-
s(40,24,20)s(8,32,12)t(40,40,12)+t(40,32,20)+s(32,48,12)++
s(32,24,12)t(32,32,12)+s(48,32,12)+s(24,24,20)s(16,24,20)*-
t(16,40,12)c(24,32,20)c(32,32,20)*s(40,32,28)s(24,24,20)**+
t(24,32,20)s(40,40,28)s(16,40,20)+s(32,40,28)-+s(24,32,28)*
c(40,24,20)c(48,40,12)t(32,32,20)t(32,16,12)-+*s(24,48,12)+
t(32,32,20)s(24,24,20)s(48,32,20)-+s(40,40,12)-c(24,32,20)*
c(40,16,12)s(40,48,20)+s(24,32,28)*s(40,24,20)t(24,24,20)-+
s(32,24,28)s(16,40,20)t(24,56,12)s(24,24,28)c(40,24,20)++*-
c(32,48,12)s(48,48,12)c(32,32,12)++t(32,24,20)-t(32,48,20)+
s(32,32,28)s(32,24,28)*t(32,40,20)-c(24,24,12)+c(48,40,12)+
s(40,40,28)t(32,48,28)c(32,24,20)s(32,16,12)---c(24,32,20)*
c(32,32,28)c(16,24,12)s(16,8,12)+c(40,32,12)t(16,56,12)++*
c(40,48,12)s(16,32,12)+s(40,40,28)+s(24,40,28)s(16,32,20)-*
s(24,24,28)s(24,48,12)c(24,16,12)+s(32,32,12)+s(32,48,12)-*
s(32,40,20)s(48,16,20)+s(48,16,12)-c(40,24,20)*t(40,32,20)+
t(24,32,28)s(32,24,28)*t(24,48,20)+c(40,40,20)-t(40,48,20)+
s(48,40,20)s(16,32,20)t(32,32,20)+s(40,40,12)-s(24,24,20)*+
c(40,40,20)s(32,16,20)-t(24,40,28)s(32,32,28)t(32,40,20)-+*
c(32,16,12)c(48,24,12)+c(16,48,12)+s(24,32,20)c(40,40,12)-+
s(48,16,12)s(40,40,20)t(40,24,20)-s(24,40,20)++s(48,16,12)-
t(32,40,28)s(40,16,20)s(32,16,20)t(32,48,12)+*s(24,32,12)++
c(32,40,20)c(24,40,12)-t(24,16,12)s(24,32,28)s(24,16,20)-+-
c(32,24,20)t(32,48,12)s(32,16,20)+s(24,40,20)t(32,32,28)*-*
s(40,40,20)c(40,40,20)c(24,32,20)*+s(32,24,28)s(40,40,28)*-
t(24,40,28)t(32,24,12)t(16,16,12)s(24,48,20)++*c(24,24,12)-
c(32,32,20)c(32,24,20)*c(32,24,20)t(32,16,12)t(40,16,12)+-*
s(40,48,20)c(40,40,20)s(24,48,20)t(24,40,12)-t(16,40,12)--*
s(32,40,20)t(16,24,12)+c(24,32,20)*c(40,40,20)t(40,24,12)-*
c(32,32,28)s(48,40,12)c(32,40,12)s(24,8,12)++t(32,48,12)--
t(24,40,28)s(32,32,20)c(16,16,12)t(32,40,20)++t(40,56,12)+*
s(32,32,20)c(16,32,12)+s(40,16,20)s(24,24,28)*+s(8,16,12)+
c(32,32,28)t(40,40,20)-t(40,32,20)+s(32,16,20)-s(24,24,28)-
s(40,40,20)s(24,40,20)c(32,32,20)+*c(32,48,12)s(48,32,20)+*
s(48,24,20)s(24,48,20)+t(24,40,12)s(32,24,12)+-t(16,32,12)+
c(32,40,20)s(32,32,28)+t(32,32,28)s(48,24,20)+*c(48,40,12)-
s(40,32,20)s(40,48,20)s(40,40,28)s(24,24,28)-+c(32,32,28)*+
s(24,16,20)s(32,24,28)c(24,32,20)t(32,48,12)-*s(16,8,12)+*
s(32,24,20)s(40,40,20)s(24,40,20)*-s(8,40,12)c(24,32,20)+*
s(40,8,12)t(40,32,20)t(24,32,12)c(32,16,12)+-+t(24,40,28)-
s(24,40,28)s(8,48,12)-s(24,40,20)t(24,48,20)t(32,48,20)+*-
t(32,48,20)c(16,16,12)+c(16,32,12)t(24,40,28)+t(40,32,20)-*
c(24,40,20)s(32,40,20)t(40,48,20)c(16,24,12)s(24,16,20)++*-
s(48,40,20)c(40,24,12)t(32,40,28)s(16,48,12)-c(24,32,20)*++
s(24,32,28)c(40,32,20)s(24,48,20)-s(40,40,12)s(48,16,20)+*-
c(24,32,20)s(24,48,20)+t(24,40,28)*c(32,32,20)s(40,24,20)+*
s(24,24,28)s(32,24,12)-s(24,32,28)s(24,40,20)t(24,48,20)+**
c(48,32,12)s(32,32,28)c(32,40,20)-t(24,40,28)-s(24,32,12)++
s(32,48,12)c(40,32,20)s(24,48,20)c(32,32,28)*+t(24,32,28)*+
s(24,40,28)c(32,48,12)s(40,40,28)s(16,48,20)-t(40,32,20)*+-
s(8,32,12)s(40,24,20)s(40,16,12)-+s(48,24,20)-s(40,16,20)+
c(32,24,20)s(40,16,20)+t(24,48,28)s(24,32,12)-t(40,48,12)-+
s(40,24,20)s(32,24,20)c(40,32,12)+s(40,40,28)s(40,24,20)+**
c(24,40,20)s(48,32,20)s(32,24,28)s(16,24,20)*+t(32,32,28)**
c(24,40,20)t(40,48,20)+s(32,32,20)s(8,8,12)+*s(16,16,20)-
s(32,16,20)c(48,48,12)+t(24,24,12)c(40,24,12)+-s(32,40,28)-
c(24,32,12)s(32,40,28)t(24,24,12)c(40,24,12)+-t(32,48,28)*+
t(40,48,20)t(24,16,12)s(24,40,28)t(48,48,12)s(24,32,20)+*+-
c(24,32,20)s(40,32,28)c(48,16,12)-*s(40,40,28)*t(16,40,12)+
c(40,48,12)s(40,32,20)t(24,48,28)c(40,40,20)*-+c(48,32,12)-
c(40,40,12)s(32,32,20)c(24,16,12)-s(24,40,28)s(16,16,20)+*+
t(48,56,12)c(48,16,12)+s(32,32,12)+t(32,48,20)+s(24,40,20)*
c(40,16,12)c(32,40,12)s(48,40,20)t(40,48,12)-++t(24,48,28)+
s(48,32,20)t(32,16,12)t(48,16,12)+-s(40,24,12)-s(24,24,12)+
s(16,24,20)s(16,32,20)*c(24,40,20)t(32,32,28)*s(24,24,28)*+
s(24,40,28)c(16,48,12)-s(40,32,20)+s(24,24,20)t(40,32,20)+*
s(40,32,28)s(32,40,12)t(24,40,12)+-s(48,40,20)*s(32,48,20)-
c(40,32,20)t(32,32,28)*s(48,24,12)s(8,40,12)+c(24,40,20)+*
s(40,40,28)c(40,48,12)-s(40,32,20)+s(32,32,28)*c(24,32,20)*
s(16,32,20)s(24,32,20)*s(48,24,20)+c(40,32,20)t(32,32,28)**
c(24,32,20)c(24,40,20)*c(16,32,12)t(24,32,20)+*t(32,48,12)+
s(40,40,20)t(32,40,20)t(16,56,12)+s(48,40,20)+t(24,48,20)-*
c(24,40,12)c(40,40,12)+c(32,24,20)t(32,32,28)t(32,40,12)-*+
s(24,40,28)t(24,32,28)*s(48,48,20)s(24,24,28)+s(16,40,20)**
s(40,40,20)c(24,32,20)s(8,16,12)t(32,32,28)+s(32,24,12)-*-
t(32,56,12)c(16,24,12)+t(32,48,28)t(48,16,12)s(40,32,20)+--
s(24,32,20)c(24,40,20)*s(40,24,20)c(48,48,12)+s(40,16,20)*-
t(32,48,28)c(16,48,12)-s(40,40,20)t(24,48,20)s(24,32,20)+*-
s(8,32,12)s(40,48,20)t(16,16,12)+c(32,32,20)-+c(24,24,20)-
t(32,40,28)t(24,16,12)s(24,40,20)s(24,32,12)-s(32,48,20)++*
s(32,24,20)s(8,48,12)+s(24,40,20)-c(32,24,20)+c(24,40,12)-
s(8,48,12)c(24,24,12)+c(32,32,28)*t(24,32,28)*s(8,48,12)-
s(16,24,20)c(24,32,20)s(40,32,28)s(32,16,20)-s(32,48,20)*+*
s(24,48,20)t(32,40,20)-s(40,40,28)s(40,32,28)*+t(24,48,20)-
c(32,32,28)t(24,40,20)s(8,48,12)+*s(40,16,12)c(32,16,12)++
s(40,16,20)t(24,32,28)t(16,40,12)-s(40,40,28)t(48,48,12)-*-
c(40,40,20)c(32,32,20)s(32,40,12)-t(32,40,28)*-t(24,40,28)-
s(32,24,20)s(24,40,28)*s(48,48,20)s(40,32,28)s(32,32,28)*+*
s(40,32,28)s(8,40,12)+s(16,40,12)c(24,24,20)+t(40,32,20)-*
s(32,40,20)s(24,48,12)s(32,24,28)+*s(40,16,12)s(24,48,12)+-
s(32,40,12)c(32,32,20)s(40,32,20)s(40,32,12)-*+s(32,24,28)*
c(24,32,20)t(24,40,28)*t(40,40,20)+s(32,16,20)-c(40,40,20)*
s(16,48,20)c(32,48,12)+s(32,24,28)c(24,24,12)-c(48,40,12)--
c(40,32,12)t(24,32,20)t(24,24,20)s(32,32,20)c(32,40,20)*+*+
t(24,24,20)s(40,32,28)s(32,32,12)-c(40,40,20)*t(32,40,28)*+
s(8,48,12)t(40,24,20)t(24,32,20)s(40,40,12)-++s(24,32,20)*
t(32,48,28)c(24,40,20)s(40,32,12)--s(40,32,20)s(48,24,20)--
s(24,8,12)t(40,32,20)+s(32,24,28)*s(40,24,20)t(32,40,28)--
s(24,16,20)s(16,16,20)t(32,48,20)s(24,40,20)++c(32,32,28)*+
c(48,16,12)c(48,16,12)t(24,40,20)+s(40,32,20)-+t(32,32,20)-
s(32,40,28)c(32,24,20)+c(40,32,20)s(48,48,20)c(32,32,12)--*
s(24,32,20)c(24,32,12)s(32,16,20)+s(16,40,12)s(16,16,20)+*-
t(24,40,28)s(24,48,12)t(16,48,12)+-s(48,24,12)+t(40,24,12)-
c(40,32,20)s(24,32,20)s(40,32,12)+s(40,8,12)+*s(40,40,20)*
c(32,40,20)t(48,48,12)t(32,16,12)+s(40,24,12)+t(40,48,12)+-
c(32,48,12)s(32,16,20)+c(32,32,28)*s(32,40,28)*c(24,40,20)*
s(24,32,28)t(32,48,20)s(48,48,20)+c(48,48,12)-t(32,32,12)+*
t(32,32,20)s(24,32,12)s(48,40,20)s(40,40,12)-+c(40,24,12)-+
c(24,32,20)t(24,48,12)c(40,24,20)s(40,40,28)*+-s(8,40,12)-
s(48,32,20)s(40,32,12)-c(40,40,20)t(40,48,12)-c(24,40,12)++
t(16,24,12)s(48,40,20)+c(32,32,20)s(32,40,28)*s(24,40,20)*-
s(24,32,28)c(32,24,20)s(32,40,20)+t(32,40,28)-t(32,32,12)+*
t(40,48,20)c(32,24,12)c(16,24,12)t(24,40,12)t(24,56,12)+++-
s(8,48,12)s(48,40,20)c(32,32,28)*s(8,8,12)c(16,40,12)+++
s(24,24,20)s(40,16,12)+c(40,24,20)s(40,16,20)--s(48,48,12)+
s(16,24,20)s(40,32,12)+s(48,40,20)-c(32,40,12)-c(24,32,12)-
s(16,24,20)s(8,8,12)s(24,40,28)s(40,40,28)*s(8,24,12)++*
t(32,48,20)c(16,48,12)-s(48,24,20)c(40,40,20)*+t(40,32,20)+
s(40,48,20)s(48,48,20)*c(32,40,20)t(16,40,12)s(48,32,20)+*+
t(24,40,12)t(24,32,20)t(24,24,20)s(8,48,12)s(48,40,20)++*+
s(48,48,20)c(40,32,20)s(40,40,28)*s(32,48,20)--c(32,40,20)+
t(40,48,20)s(24,48,20)t(32,56,12)-+t(24,48,20)t(32,40,28)++
s(48,8,12)s(16,48,20)s(24,24,28)-+s(40,16,12)-t(16,56,12)-
s(32,16,20)c(32,40,20)c(24,40,20)*t(32,48,20)--c(32,24,20)*
s(24,32,28)t(32,24,20)s(16,8,12)c(32,24,12)t(24,32,28)++*-
s(24,32,20)s(40,32,20)s(24,40,28)c(40,32,12)--+s(32,32,20)-
t(24,48,28)s(32,32,20)-s(40,32,12)+s(16,40,12)s(40,32,12)+*
s(32,24,20)c(32,32,12)c(40,32,12)++t(32,48,28)t(24,48,28)++
s(16,32,12)s(40,16,20)+t(48,56,12)s(40,32,20)+s(24,24,28)--
s(24,40,20)t(40,48,20)t(24,16,12)++s(32,32,20)c(24,16,12)--
t(32,40,28)c(48,24,12)c(16,40,12)+-c(40,32,12)-c(32,32,12)-
t(24,48,12)c(24,16,12)+s(32,16,20)t(24,40,28)c(32,24,20)*--
c(40,32,12)c(32,16,12)+s(48,40,12)+c(32,24,20)*s(40,24,20)*
s(48,32,20)s(40,16,20)t(48,32,12)+c(32,32,20)s(40,32,20)++*
s(48,40,20)s(32,32,20)-s(40,16,20)s(32,16,12)-t(48,40,12)+-
s(48,16,12)s(48,16,12)t(32,32,28)+c(48,40,12)t(32,40,20)+*+
c(32,24,20)s(32,40,20)*s(32,8,12)+s(32,24,28)s(16,48,20)-*
s(16,40,20)s(24,48,20)*c(40,24,20)c(24,40,12)-+s(24,32,28)-
s(24,24,28)s(40,32,20)s(16,24,20)+*t(32,32,28)s(24,40,28)*+
c(32,40,20)c(40,32,20)c(40,24,20)c(24,40,12)-*+s(48,16,20)+
c(32,40,20)s(40,32,20)s(16,32,12)+*s(32,24,28)s(16,16,20)*+
t(40,48,12)t(24,48,20)c(32,24,20)t(40,48,20)s(32,24,20)+*-+
t(16,32,12)s(32,16,20)+t(24,40,20)-s(24,24,20)+s(24,32,12)-
s(24,24,28)s(16,48,20)-t(24,40,20)-s(32,40,28)-t(32,32,12)+
t(32,32,28)c(48,32,12)s(32,40,12)+c(32,32,20)*s(40,32,20)*-
t(32,32,20)t(32,16,12)-s(40,24,28)t(24,56,12)+s(48,32,20)-+
c(24,24,20)t(24,32,28)*t(32,48,12)s(40,24,28)s(48,16,20)++*
t(24,48,12)s(32,24,20)s(32,40,28)*t(24,48,20)-+t(24,32,20)-
t(32,48,28)s(32,32,20)+s(24,40,12)-t(24,40,28)+t(24,32,28)-
t(24,48,20)s(32,24,20)c(32,32,20)*s(40,48,20)c(32,48,12)-+-
t(40,48,20)t(32,32,20)-s(40,24,28)s(24,24,20)-+t(40,40,12)-
c(40,24,20)c(48,16,12)s(8,40,12)+t(24,48,12)+s(16,24,20)+-
s(40,40,20)t(32,48,28)+c(40,40,20)*t(32,40,28)*t(32,32,28)*
t(16,56,12)c(24,24,20)s(16,40,20)c(40,48,12)+-+s(24,24,28)*
s(40,16,12)c(40,40,12)+t(24,32,20)+c(32,40,12)-s(24,40,20)-
t(24,40,28)s(40,48,20)+s(40,40,28)t(16,40,12)+*s(32,24,12)+
t(32,24,20)s(40,32,28)c(32,24,12)-t(48,56,12)+s(24,40,12)--
s(32,48,20)s(16,32,20)c(40,32,20)s(8,8,12)++s(32,32,28)**
s(24,32,28)s(24,40,20)-t(48,48,12)+t(40,48,20)t(24,24,20)++
c(32,32,28)s(48,16,20)-c(32,16,12)t(32,40,20)+c(32,32,12)-*
c(40,32,12)c(40,24,20)c(24,24,20)*+s(24,16,20)s(48,8,12)+-
t(24,40,28)c(40,32,20)c(32,32,20)*c(32,40,20)*s(24,32,12)--
s(48,40,20)s(8,40,12)t(32,32,28)c(40,32,20)s(32,24,28)**+-
s(16,16,20)s(32,24,20)s(24,40,28)*+s(32,48,20)-s(24,16,20)*
s(48,16,20)c(16,40,12)+s(40,32,20)t(32,32,28)s(8,32,12)+*+
s(32,48,12)t(32,24,20)+t(32,16,12)-s(32,40,28)s(48,40,20)*+
s(32,48,20)t(24,32,20)c(48,32,12)t(40,40,20)++*c(16,16,12)+
s(40,16,20)c(16,24,12)+c(24,32,12)+s(16,8,12)+s(24,48,20)-
s(40,48,20)t(40,56,12)s(24,24,20)++c(32,48,12)-s(32,24,20)*
s(24,40,12)s(40,32,28)c(32,32,20)t(24,24,12)t(40,56,12)+-*+
s(40,40,20)s(48,32,20)t(24,16,12)+*c(40,40,20)s(40,24,20)*+
t(24,40,28)s(24,24,28)s(8,24,12)s(40,32,28)+*-s(32,40,20)+
t(16,24,12)t(24,32,20)+t(40,32,20)+s(24,40,20)s(24,24,12)--
s(40,16,20)c(24,24,20)s(32,32,28)c(40,32,20)**+t(32,32,28)*
t(24,32,28)s(32,24,28)c(40,32,20)*t(24,48,28)t(48,40,12)++*
s(40,32,20)s(32,40,28)*s(40,32,28)c(32,24,20)s(32,32,28)***
s(24,40,28)s(32,40,28)t(40,16,12)s(40,32,20)+-*s(32,48,20)*
c(24,24,12)t(24,48,20)+s(24,16,12)-s(24,32,28)t(32,24,20)*-
s(40,24,28)c(24,40,20)s(48,32,20)s(24,16,20)+s(32,8,12)-++
c(24,40,20)c(24,32,12)-t(48,48,12)t(32,40,20)+c(24,24,20)+*
t(40,48,20)s(48,32,20)c(40,32,12)--s(40,48,20)t(24,32,20)-*
c(40,32,12)c(16,48,12)+c(32,40,20)*t(16,56,12)t(40,24,12)+-
s(24,32,20)c(24,16,12)+s(40,24,12)+t(24,48,28)*s(48,16,20)+
s(8,16,12)c(40,24,20)+t(48,32,12)t(32,24,20)t(16,24,12)++*
c(40,32,20)t(32,24,20)-s(32,32,28)+s(32,40,28)c(24,48,12)-*
t(24,48,20)s(24,48,20)s(24,32,12)-s(48,24,20)s(32,40,28)+**
s(24,40,12)s(48,40,20)+s(32,16,12)c(32,40,20)+s(32,32,28)*+
s(24,40,20)t(24,48,12)c(40,32,12)+c(40,32,20)*s(16,48,12)+-
c(32,32,20)t(40,48,20)s(32,40,28)s(24,40,28)*+s(16,40,20)**
s(8,32,12)s(48,16,12)+s(24,40,20)+s(40,32,12)t(40,24,12)++
c(24,48,12)t(40,24,12)+t(32,24,20)-s(32,48,20)+t(32,48,12)-
t(32,24,12)s(16,16,20)+c(32,40,20)s(24,40,12)-t(24,32,20)+-
s(32,40,20)t(32,32,20)t(16,48,12)+c(32,32,20)c(48,16,12)-**
s(16,8,12)t(40,56,12)s(48,40,20)c(32,48,12)-s(48,48,12)-++
t(32,48,28)s(40,16,20)s(24,32,28)+*s(24,16,12)t(24,48,12)++
s(32,40,20)s(40,40,20)c(40,32,20)t(40,48,20)+s(40,24,20)*+*
c(32,40,12)t(48,16,12)t(16,32,12)+s(32,16,12)++s(32,32,12)-
s(40,40,28)t(40,40,20)s(16,48,20)+-s(32,40,28)c(16,16,12)+*
c(48,48,12)s(24,48,20)s(24,16,12)+t(32,48,20)s(8,48,12)+*+
s(16,24,12)s(40,32,28)+c(24,40,20)+s(40,32,28)s(48,24,12)--
t(40,16,12)s(16,16,12)+c(32,32,28)c(24,48,12)-s(24,24,28)**
s(32,40,28)s(40,24,28)t(24,48,28)-+s(40,16,12)-s(40,48,20)*
t(32,48,20)s(40,24,28)c(40,32,20)*s(40,32,28)c(32,40,20)**+
s(40,32,28)t(32,24,20)-t(24,40,28)c(32,24,20)*-c(40,32,20)*
s(24,48,20)t(32,24,20)+t(32,56,12)-s(48,32,12)+s(40,40,28)*
s(40,48,20)s(40,24,20)-s(40,32,28)s(32,24,28)*+s(48,48,20)-
s(32,32,28)s(48,48,20)s(32,48,20)*c(32,16,12)+-s(40,40,20)-
s(40,24,28)s(24,40,20)-c(48,40,12)-s(24,24,28)c(40,24,20)--
c(48,40,12)s(24,8,12)s(40,32,20)s(40,24,20)*++t(32,48,28)+
c(24,40,20)s(24,48,20)s(24,32,12)+*t(32,40,28)c(40,40,20)*-
t(32,24,20)s(24,40,28)+s(32,32,12)s(48,24,12)+t(32,48,20)--
c(32,40,12)t(24,24,20)+c(48,48,12)s(32,32,20)+*t(16,32,12)-
s(40,32,20)t(24,48,28)s(16,32,20)+s(40,40,28)t(32,24,12)-*+
s(16,48,20)c(24,40,20)c(32,24,12)c(40,16,12)s(40,40,12)++-+
s(16,24,20)c(32,32,28)s(40,48,12)-*s(24,8,12)t(40,24,12)+-
s(32,40,28)t(32,32,28)*s(24,32,20)t(32,40,28)*s(40,16,20)+*
s(24,48,12)s(32,32,28)t(40,32,12)-s(16,32,20)*+s(32,40,20)*
t(24,40,28)s(32,32,28)*s(16,24,20)s(32,40,20)+t(40,40,20)*-
c(32,40,20)s(32,32,28)*s(24,48,20)s(16,48,20)*-t(48,32,12)-
c(24,24,20)c(32,32,28)s(48,32,20)-*c(40,24,12)+t(48,24,12)-
t(40,16,12)s(48,48,12)c(32,24,12)+t(40,48,20)++c(24,24,12)-
t(24,32,28)s(48,24,20)-t(16,48,12)+t(24,32,28)s(24,24,20)*-
t(24,56,12)s(40,40,28)s(32,32,20)*c(24,32,20)*+c(40,32,20)*
s(16,32,12)c(40,24,20)t(24,40,20)s(24,24,12)-s(40,32,20)+*+
t(48,56,12)s(24,32,20)s(32,24,20)c(24,24,20)*-+c(40,32,20)-
s(32,48,20)s(48,40,12)-t(24,32,20)-c(32,40,20)t(40,32,12)-*
c(24,40,20)c(40,24,20)+t(32,32,12)s(32,24,28)s(32,40,20)-+*
c(24,32,20)t(32,48,20)t(16,56,12)s(48,32,12)++-t(32,32,20)-
s(24,32,20)t(32,40,28)+c(24,24,20)s(40,16,12)+*s(16,40,12)-
s(40,32,20)s(40,40,20)c(40,32,20)*t(32,32,28)*t(40,40,20)+*
c(32,24,20)s(16,48,12)+s(24,24,28)*s(16,32,20)s(24,32,20)**
s(40,40,20)s(24,48,20)c(32,24,20)+s(24,32,28)+c(40,32,20)**
t(24,32,20)c(32,40,20)s(48,32,20)*-s(8,24,12)+s(40,24,12)+
c(40,32,20)t(32,24,20)s(48,8,12)++t(32,24,20)c(32,48,12)+*
s(40,16,20)s(32,8,12)-s(48,40,12)t(40,40,20)+c(48,48,12)--
c(40,16,12)c(40,32,20)+s(48,40,20)s(16,48,20)+s(48,48,20)**
s(40,24,20)s(24,32,20)t(24,24,12)--t(16,24,12)+s(48,24,20)*
s(16,40,20)t(32,48,20)+t(16,16,12)s(48,48,20)+c(24,32,20)--
t(48,56,12)s(40,16,20)s(48,24,20)++s(24,16,20)s(40,40,12)+*
t(40,16,12)c(32,40,20)s(32,8,12)+t(24,40,28)*+s(16,48,12)-
c(40,24,20)t(24,32,28)*c(32,40,12)+t(24,24,20)s(48,32,20)+*
s(40,40,28)s(48,32,20)s(24,24,28)+s(24,40,20)*+s(24,24,20)*
s(8,24,12)s(48,24,20)s(32,40,20)s(16,24,20)t(40,32,20)+*-+
s(40,48,20)s(32,32,12)s(48,32,20)+s(32,40,20)s(16,24,20)+*-
s(40,16,20)s(8,48,12)s(48,16,20)s(32,40,28)-+c(16,32,12)+*
c(24,24,20)s(16,48,20)s(32,40,12)-+c(40,32,12)s(16,16,12)++
s(24,32,20)s(32,24,28)c(48,16,12)s(8,32,12)s(48,32,20)++-*
s(40,24,28)c(32,40,20)*s(16,48,20)s(32,40,28)c(40,32,12)-*-
s(40,32,28)t(24,32,28)s(48,40,12)t(24,48,20)+-s(16,24,20)+*
c(32,32,20)s(32,24,28)*s(16,40,12)-c(48,16,12)-c(40,40,20)*
c(24,24,20)s(16,16,20)t(40,24,20)+*s(40,32,28)*t(24,16,12)+
s(32,24,20)s(24,32,20)s(32,16,20)-s(24,40,20)*s(40,16,20)+*
c(32,24,12)t(24,48,20)s(40,40,28)s(24,24,28)-+s(48,24,20)++
c(24,40,20)s(16,40,12)t(16,24,12)t(24,40,20)++*t(24,48,28)*
c(32,32,20)s(16,24,12)-s(32,40,28)s(40,32,28)s(24,32,28)+**
c(24,48,12)s(32,24,28)+s(40,40,20)*c(32,32,12)+s(24,40,20)*
c(32,40,20)s(32,32,12)-t(32,16,12)+s(40,24,12)-c(16,24,12)-
t(48,40,12)c(24,40,20)s(16,40,20)t(32,56,12)s(40,40,20)+-*+
c(32,24,20)s(48,32,20)c(40,40,20)*-t(24,40,28)-t(32,48,12)+
s(40,24,20)s(40,24,20)s(24,40,28)+t(24,48,20)-s(32,40,28)**
s(32,32,28)s(16,24,20)s(48,16,20)c(40,24,12)-t(40,24,20)-+*
s(40,24,20)s(48,48,20)-c(32,32,20)s(32,24,28)*+c(24,40,20)+
s(32,40,28)c(24,32,20)c(16,16,12)c(32,32,20)t(48,32,12)-+**
t(32,56,12)s(40,40,28)s(32,40,28)*s(24,48,12)-+s(32,48,20)*
s(24,32,12)s(48,24,20)c(32,32,12)-+t(16,24,12)+c(32,32,28)*
s(16,32,20)c(32,32,28)t(32,32,20)-s(32,16,12)-s(40,16,20)-*
s(40,32,28)s(16,24,12)+t(24,32,20)s(48,24,20)+*s(24,32,28)*
s(40,24,28)s(8,48,12)s(16,16,20)+-t(40,24,12)c(16,24,12)+-
t(24,48,28)t(40,40,20)-c(40,16,12)s(24,24,28)s(32,32,28)*+-
t(32,32,20)t(24,40,28)s(24,48,20)s(32,32,28)s(24,24,28)*--+
t(24,32,28)s(24,16,20)s(16,16,20)*+s(24,32,28)c(40,16,12)-*
c(32,32,28)s(48,48,12)s(40,40,28)c(48,48,12)-t(32,40,20)*+-
t(24,40,28)s(24,24,20)-c(16,16,12)+c(32,40,20)+s(24,48,20)-
s(32,32,28)c(24,24,20)s(16,32,20)+-s(32,40,12)-s(16,40,20)-
c(40,32,20)t(24,32,20)c(32,32,20)t(32,24,12)-c(24,48,12)++*
c(40,24,20)s(32,16,12)c(32,40,20)s(8,8,12)s(16,40,20)+-+*
s(16,24,12)t(24,48,28)c(24,32,20)s(16,24,12)s(24,48,20)+**+
s(48,32,20)s(24,24,20)s(16,40,20)+c(24,24,20)*+t(24,40,20)-
c(32,40,20)c(16,24,12)c(32,40,12)+s(48,32,12)+*t(32,40,20)+
s(40,40,28)t(16,16,12)t(16,24,12)+s(40,32,28)+t(32,48,28)-+
t(24,32,28)c(40,16,12)+c(16,24,12)s(32,24,12)t(24,40,20)++*
t(32,40,20)s(16,16,20)+c(40,24,12)t(16,48,12)++c(24,32,20)-
t(40,40,20)s(24,24,20)c(24,40,20)*-s(32,24,20)s(16,24,20)*+
s(32,48,20)s(24,48,12)-s(48,24,20)+c(32,16,12)-s(40,40,20)-
c(24,40,20)t(16,48,12)-c(32,24,20)s(32,32,12)-s(24,24,12)-+
t(16,40,12)s(24,40,20)t(24,48,28)s(32,24,20)+*t(24,48,20)*+
s(32,40,28)s(24,40,28)s(40,40,28)*-s(40,32,12)+t(32,32,12)+
t(32,32,28)t(24,32,28)*c(40,32,20)t(24,48,20)t(32,48,28)*-*
c(40,24,20)t(24,40,28)-s(24,32,28)-s(16,40,12)+t(40,56,12)+
t(24,48,28)s(24,16,12)+t(16,56,12)s(16,32,20)+-s(24,24,28)-
s(24,48,20)s(16,16,20)+c(40,40,20)t(24,48,28)t(32,32,12)+**
t(24,40,20)c(24,32,12)s(40,24,28)s(48,8,12)-s(16,40,20)-++
s(24,32,12)s(48,48,20)t(48,56,12)-s(48,32,20)*+s(32,40,28)*
c(40,24,20)t(32,48,12)c(40,24,20)s(40,32,20)+s(48,40,20)-+-
s(32,32,20)s(32,32,28)t(24,40,20)-s(48,40,20)s(48,24,20)*--
c(40,32,20)s(32,24,28)t(48,16,12)-t(24,40,12)-*s(16,24,12)+
s(48,48,20)t(24,40,20)+c(48,24,12)s(32,32,20)+t(40,40,12)-+
s(48,48,20)c(32,40,20)+s(40,32,20)s(32,32,28)t(32,40,20)-++
s(16,16,20)c(40,32,20)t(48,40,12)-t(24,32,28)s(32,32,28)**-
s(32,32,20)s(16,16,20)+s(48,32,20)c(48,48,12)-s(48,48,12)+-
s(32,16,20)c(40,24,12)+c(24,48,12)+s(40,24,20)*s(24,32,20)+
s(40,32,28)t(48,24,12)-t(16,56,12)s(48,48,20)++s(32,40,20)-
s(24,24,28)t(32,32,28)c(40,24,20)s(24,24,28)c(32,32,28)***-
t(24,32,28)c(32,32,28)s(40,24,12)t(24,40,20)+-c(48,16,12)--
c(16,48,12)s(24,16,12)+s(40,48,12)s(8,32,12)++t(24,40,20)-
c(32,24,20)c(24,24,20)s(40,32,20)*-s(32,24,20)s(48,24,20)*-
s(24,24,20)s(32,40,20)s(40,48,20)--t(24,48,20)+s(16,32,20)*
s(24,32,20)s(32,24,28)*s(48,24,12)+s(40,40,20)c(40,24,20)*-
c(24,24,20)c(40,40,20)s(32,40,20)*s(16,16,12)+s(24,48,20)-*
s(24,24,28)t(24,32,20)-c(24,24,20)s(40,16,20)+*t(32,16,12)-
s(16,16,20)c(24,24,20)*t(24,56,12)t(24,48,20)++c(32,40,12)-
t(48,16,12)s(24,24,12)+s(40,24,12)-t(40,32,20)c(48,16,12)-+
s(24,32,20)c(32,48,12)-s(40,24,28)c(32,32,20)s(16,48,20)--+
s(16,8,12)s(32,32,28)s(40,24,20)*t(32,32,28)s(40,32,28)**+
s(32,40,28)s(32,32,28)*c(40,40,20)*s(32,32,28)t(32,32,20)-+
t(24,32,28)t(32,32,28)s(40,32,20)s(32,32,28)s(32,24,28)***-
c(32,40,20)s(40,16,12)s(40,24,28)t(40,32,20)-t(40,16,12)-++
c(40,32,20)c(32,32,20)*s(40,8,12)c(24,32,20)c(24,24,12)-+-
s(40,32,28)s(48,40,20)s(48,8,12)+*t(32,32,28)+t(40,24,20)*
c(32,32,20)s(40,48,12)s(40,8,12)+s(8,16,12)+c(16,24,12)++
s(16,40,20)t(32,48,20)s(8,8,12)s(16,8,12)s(8,48,12)++++
s(8,8,12)s(40,40,20)+s(48,48,20)+s(40,24,28)*c(48,48,12)-
s(16,48,20)s(16,32,20)*t(32,40,28)+c(24,24,20)+s(8,40,12)-
c(32,24,20)t(16,24,12)-s(48,32,12)-s(40,24,20)s(16,32,20)--
s(32,32,28)t(32,40,28)*s(40,48,20)*s(24,16,20)+t(48,32,12)+
t(32,16,12)s(24,40,28)s(32,32,12)-+c(40,32,20)t(24,48,20)+-
s(24,8,12)s(24,40,12)t(24,48,12)+s(48,32,12)++c(32,40,20)+
c(24,32,20)t(24,32,28)t(24,32,28)c(24,48,12)+c(24,24,12)---
c(40,32,20)c(32,32,28)s(24,40,28)t(24,24,12)-*c(48,48,12)+*
t(24,24,20)s(48,8,12)s(16,32,12)+t(40,24,12)++s(48,40,20)-
s(16,32,20)t(16,32,12)-s(24,32,20)+c(32,24,20)*s(24,40,12)+
s(32,16,20)c(32,24,20)c(16,48,12)s(40,40,28)s(24,32,20)*+*+
s(32,24,28)c(24,32,20)*s(40,40,12)-c(16,48,12)-s(24,24,20)*
c(48,32,12)s(24,32,28)t(32,56,12)s(40,24,28)+*+c(24,32,20)*
s(32,40,28)c(40,48,12)t(32,32,28)+*t(24,40,28)*s(16,48,20)-
s(24,32,20)t(24,40,28)s(40,40,20)*-t(32,32,28)s(32,48,12)-*
s(32,24,20)s(48,40,20)s(40,16,20)-s(48,24,12)t(48,56,12)+--
s(48,48,20)s(8,16,12)c(32,24,12)+t(40,40,12)+c(24,40,20)+-
s(24,24,28)c(24,16,12)s(40,24,28)c(32,40,20)*+*t(32,32,20)*
s(24,32,28)c(40,40,20)s(48,48,20)s(40,40,20)c(32,32,12)-+*-
s(40,40,20)s(24,32,12)+c(32,32,20)c(48,16,12)+t(40,24,20)-*
s(40,40,28)c(24,24,12)c(24,48,12)+s(40,40,28)s(24,32,20)*--
s(24,24,28)t(24,40,20)+t(40,32,20)-c(24,32,20)s(40,16,20)+*
c(16,24,12)t(48,48,12)s(24,24,28)c(16,40,12)-+s(16,24,20)*+
s(48,16,12)t(24,40,28)s(16,40,20)*s(24,40,20)*t(16,16,12)++
s(24,40,12)t(32,48,20)+s(40,48,20)c(32,24,20)s(48,16,12)++*
s(24,32,20)t(16,40,12)t(16,56,12)+-t(24,32,28)*s(16,16,12)+
t(40,48,20)s(24,32,20)s(32,24,12)t(32,40,20)+*+c(40,24,20)*
t(24,40,28)s(48,40,20)s(48,16,12)+s(32,24,20)--c(40,40,12)-
s(40,40,28)s(24,24,28)+c(40,32,20)-s(32,16,20)t(32,32,28)*+
s(16,32,20)c(24,40,20)s(24,24,20)*-t(48,48,12)c(24,48,12)++
s(16,32,20)c(24,32,20)c(40,24,20)s(32,32,20)*-c(40,40,20)-*
c(24,32,20)c(40,24,12)t(40,32,12)s(8,32,12)+s(48,32,12)++-
t(48,40,12)s(32,24,28)s(40,16,20)c(32,24,20)*-s(48,40,20)-+
t(32,32,28)s(32,40,20)s(16,40,12)-s(32,32,28)*-c(32,32,20)+
s(16,24,20)s(24,24,20)s(24,32,20)*c(40,16,12)-*t(32,48,20)+
c(16,24,12)t(24,56,12)+s(40,32,28)t(40,48,12)t(24,48,28)+*-
c(32,40,20)c(32,40,12)t(32,48,20)s(24,24,20)-s(48,32,12)++*
s(40,24,28)t(32,24,20)c(40,32,20)t(40,48,12)-+s(16,48,20)--
s(40,16,20)c(32,40,20)c(32,32,12)t(40,48,20)+*+s(48,48,12)-
c(32,32,12)s(48,24,12)+t(32,40,28)c(40,40,20)*s(32,48,12)-+
s(16,16,20)t(40,48,20)+s(40,32,28)*s(48,16,12)s(32,40,20)++
c(32,24,20)s(24,40,28)t(40,48,12)-s(32,32,20)c(16,24,12)+-+
s(40,32,28)s(40,48,20)c(32,48,12)--s(16,16,20)-s(24,32,28)+
t(32,32,28)s(24,16,20)c(40,32,20)-+c(32,32,12)s(40,48,20)+*
t(16,48,12)s(40,40,20)t(32,24,20)-+t(24,16,12)+s(32,48,20)*
s(32,40,20)c(24,24,12)-c(16,24,12)+s(48,48,12)+s(40,40,20)*
t(24,40,20)s(40,32,20)+c(40,48,12)-c(24,32,20)t(32,16,12)-*
s(16,24,20)s(16,32,20)t(16,16,12)-*s(32,24,20)+c(32,40,20)-
s(32,40,28)c(16,48,12)-s(40,16,20)c(32,16,12)s(48,48,20)+--
t(32,32,28)t(40,16,12)+t(32,40,20)t(24,48,28)s(16,48,12)-+*
t(24,32,28)s(48,32,12)+t(16,16,12)s(48,40,12)+c(24,24,12)--
c(24,24,20)s(32,16,20)c(40,40,12)c(24,40,20)+t(24,32,20)-+*
t(40,32,20)s(32,32,20)s(48,40,20)s(24,32,28)s(32,24,20)*+*+
s(16,16,20)t(32,40,20)+s(24,32,28)*s(32,32,28)*t(40,56,12)+
t(24,40,28)c(32,16,12)c(40,24,20)t(24,16,12)s(32,40,20)+*++
s(16,48,20)s(16,48,12)t(24,24,20)+s(40,16,20)-s(24,24,28)*+
c(24,24,20)c(40,32,20)*s(32,40,28)t(32,48,12)-c(48,48,12)+*
s(24,24,20)t(32,24,20)c(24,40,20)s(40,40,28)*s(16,16,12)++*
s(16,16,20)t(24,32,28)+s(16,48,20)-s(40,24,28)s(48,16,20)+*
s(40,40,28)c(32,16,12)s(48,40,12)t(24,24,20)+t(48,48,12)-+*
s(32,40,28)c(32,32,20)*s(16,40,12)-t(32,32,12)-c(40,48,12)-
c(32,32,28)c(48,24,12)t(32,48,28)s(16,48,20)*s(24,24,28)++*
c(24,40,20)c(32,32,28)c(40,32,20)s(32,32,28)*-c(16,32,12)--
s(32,32,28)s(40,40,28)*t(48,56,12)s(32,32,20)+*s(16,48,20)+
s(8,40,12)t(40,56,12)+t(32,48,28)s(24,48,12)-+t(32,40,12)-
s(32,16,12)s(40,8,12)c(16,24,12)+s(8,16,12)-+c(16,16,12)-
c(32,32,20)t(24,32,28)*s(48,32,20)s(24,32,20)-s(40,32,12)-+
c(24,32,20)s(40,48,20)s(32,24,20)c(32,40,20)*s(8,24,12)++*
s(32,40,20)c(48,32,12)t(24,32,28)+s(48,32,20)+s(24,16,12)-*
s(32,32,12)t(16,48,12)t(40,48,20)+s(48,24,12)+s(32,24,28)-+
c(40,32,20)s(32,32,28)t(24,48,20)-c(24,40,20)-*s(32,48,20)-
s(32,32,28)s(32,16,12)s(40,40,28)+c(24,48,12)s(48,16,20)+-*
s(24,24,28)s(16,16,12)s(16,32,20)+s(48,48,20)+s(32,32,20)*-
s(32,32,20)s(32,32,28)s(24,16,12)t(48,56,12)c(16,40,12)++*-
c(40,24,20)s(8,48,12)+c(24,48,12)+s(8,32,12)+s(48,24,20)*
t(16,24,12)s(40,24,20)s(40,8,12)+s(40,40,28)-+c(32,32,20)-
c(24,32,20)t(16,48,12)s(32,32,28)c(40,24,20)*+c(32,40,12)-*
s(16,40,20)c(24,40,20)*c(48,16,12)t(24,56,12)+s(16,8,12)+-
s(32,32,28)s(32,24,28)*s(32,48,20)t(48,40,12)c(40,40,12)+--
s(24,48,20)c(24,24,20)s(24,32,28)*t(16,56,12)++t(24,48,28)*
s(40,8,12)t(32,24,20)c(32,48,12)++c(24,24,20)s(32,40,20)-+
t(24,40,28)s(40,24,28)s(8,48,12)++s(16,40,20)*t(32,24,20)-
c(32,32,28)s(8,8,12)c(32,32,20)+s(48,48,20)-*s(16,24,20)*
s(32,24,28)c(40,32,20)s(40,24,28)c(32,32,28)***s(48,24,20)+
s(40,24,28)s(48,32,12)-s(24,16,12)s(24,32,20)+s(48,24,20)-*
s(16,40,20)t(40,48,12)s(24,40,20)c(32,40,20)*+c(32,32,12)--
c(24,32,20)s(32,24,20)t(32,40,28)-c(16,40,12)+s(8,32,12)+-
c(32,40,20)s(40,24,20)s(8,24,12)s(48,40,20)+c(40,24,20)*--
s(32,32,28)s(40,24,28)s(24,24,20)+s(40,24,20)s(24,24,28)*-*
s(40,32,28)s(48,16,20)c(32,32,20)+t(24,40,28)--s(16,48,20)-
s(40,24,20)s(40,40,28)s(32,24,20)t(24,32,12)t(48,24,12)++**
s(16,48,12)t(24,32,28)+c(32,24,20)+s(32,40,20)*t(32,32,28)*
s(48,48,20)s(24,24,28)t(24,32,28)-s(32,24,12)-+t(40,56,12)-
t(40,40,12)s(32,16,12)+t(24,40,20)s(32,40,20)*+c(24,48,12)-
t(32,40,28)s(24,40,20)s(40,40,28)c(24,24,12)-+s(40,24,28)**
s(32,24,28)c(24,32,20)t(32,32,28)t(24,48,28)--*s(48,24,20)+
s(24,32,20)t(16,56,12)+c(40,40,20)s(8,8,12)s(48,32,20)+-+
s(32,40,20)s(24,32,20)s(32,32,28)s(40,32,28)*c(40,40,20)*-+
c(32,32,20)c(32,24,20)*t(24,48,28)t(32,40,28)-s(32,24,20)+*
s(40,32,20)s(40,40,28)t(24,24,20)s(32,32,28)t(32,48,28)*+**
s(32,40,28)s(24,40,20)s(32,32,20)t(32,16,12)-c(40,24,12)--*
s(16,40,20)c(24,32,12)+s(40,24,20)t(32,32,28)*s(40,32,20)*-
s(40,40,28)s(24,48,20)s(32,40,28)++s(24,32,20)c(48,24,12)+*
c(32,16,12)t(24,40,28)+s(24,24,20)*s(40,32,28)*s(16,16,12)+
t(32,40,28)s(40,16,20)s(32,48,12)s(32,16,20)+t(32,40,20)-*+
t(24,32,20)s(48,24,12)t(24,40,28)s(24,40,20)*t(48,48,12)++*
c(24,40,12)s(32,24,20)+s(32,40,12)s(24,16,20)+s(16,16,20)+*
s(40,48,20)t(24,56,12)-c(32,48,12)c(40,16,12)+t(24,48,28)++
s(24,40,28)t(32,48,12)s(16,32,20)+*s(32,40,20)s(40,8,12)+-
c(32,32,20)s(16,32,20)s(48,48,20)+*s(24,32,20)s(32,40,28)*+
s(24,24,28)c(32,24,20)*c(24,24,20)s(32,48,12)s(16,16,20)+**
s(40,24,28)c(24,24,20)s(32,40,20)*-s(48,32,12)-s(32,24,28)*
t(24,48,28)t(24,32,28)*c(32,40,12)+t(32,40,28)s(32,32,20)**
s(24,16,20)s(40,24,28)*c(32,32,20)+s(40,32,20)s(24,24,20)-*
s(40,8,12)s(48,32,20)t(32,32,20)+c(24,24,20)s(16,40,20)*++
s(48,24,20)t(32,32,12)+s(40,24,20)*t(48,16,12)c(24,24,12)+-
c(40,40,20)s(32,40,20)t(32,32,12)t(32,48,20)+*t(16,40,12)+-
t(32,40,28)s(24,40,28)s(40,32,12)t(32,24,12)s(8,32,12)++-*
s(40,32,20)c(40,40,12)c(16,16,12)+c(32,32,28)t(24,24,20)-*-
s(24,40,28)t(32,40,20)-c(24,40,20)c(40,40,12)-t(24,32,28)**
s(40,32,28)t(16,56,12)s(48,32,20)s(32,32,20)*+-c(32,32,20)*
c(24,24,20)s(40,40,28)s(32,8,12)+s(40,24,20)*s(16,48,20)+-
s(24,32,28)s(32,24,28)s(48,24,12)-s(24,16,12)-c(32,32,20)*-
t(24,48,28)s(24,48,20)*s(24,32,28)s(32,40,20)s(32,48,20)**-
s(24,48,20)s(40,48,20)s(16,32,12)t(32,40,28)++t(40,40,12)-*
t(24,48,28)c(24,24,20)-s(16,48,20)t(24,40,28)s(32,48,20)*+*
s(24,24,20)s(32,24,28)s(8,24,12)s(24,32,28)s(40,24,28)*+--
c(40,32,12)s(16,40,12)+s(24,40,28)*c(32,48,12)-t(24,32,28)*
s(32,40,20)s(16,48,12)+s(16,8,12)+c(24,48,12)s(40,24,28)+-
s(24,48,20)c(32,32,28)s(40,48,20)-s(24,32,20)t(24,32,28)*--
s(32,24,28)s(40,16,20)s(48,24,20)s(40,40,28)*+*c(40,40,20)+
c(40,40,20)c(24,32,20)t(32,32,28)-+s(32,40,28)*s(40,24,28)*
c(40,32,20)s(40,32,28)t(24,40,28)t(48,32,12)+s(24,32,12)--*
c(32,24,20)c(40,24,20)s(24,16,12)-*t(24,32,28)+t(32,56,12)+
s(24,48,20)t(24,40,28)s(48,40,20)t(32,32,28)+*+s(32,24,20)+
c(24,16,12)s(40,48,20)+t(24,16,12)s(32,48,12)+t(32,48,28)+*
c(32,24,20)s(32,32,28)*s(16,32,20)t(24,32,28)s(32,24,12)-*-
t(32,48,28)s(48,24,20)s(32,8,12)t(24,40,28)+-+c(32,24,20)+
t(32,40,12)c(16,16,12)+t(32,24,20)s(16,16,20)c(40,24,20)-+*
s(40,32,20)s(32,24,12)c(16,16,12)+-s(32,40,28)s(32,24,28)+*
s(40,24,28)t(32,40,28)s(48,40,20)*-t(48,24,12)-s(24,16,20)-
s(16,16,20)s(48,16,20)c(32,32,20)-+s(40,40,28)-c(16,16,12)-
t(24,32,28)s(40,16,12)s(24,40,28)+s(40,32,28)c(40,24,20)*-*
s(32,24,28)s(40,16,12)s(16,8,12)+*c(40,24,20)+s(32,32,20)*
s(48,32,20)c(40,24,20)+s(40,40,20)t(48,48,12)-+s(24,32,20)*
t(24,32,20)t(32,32,28)*s(16,40,20)s(16,24,12)+s(16,48,20)++
c(24,48,12)s(40,40,12)+s(24,40,20)c(24,40,20)t(24,48,12)-*-
t(32,48,28)s(32,16,20)s(32,32,20)*t(24,48,12)+c(48,40,12)+*
s(32,32,28)t(40,32,12)-s(48,40,12)-s(32,24,28)*c(24,32,20)*
s(48,24,20)c(32,32,12)s(32,48,20)+c(40,24,12)-c(32,32,12)-+
s(8,8,12)c(32,32,28)c(48,32,12)-s(40,32,28)t(32,40,28)--+
s(40,16,12)t(40,40,20)c(32,48,12)c(32,24,12)s(40,40,12)++*+
s(16,40,12)t(48,24,12)c(48,32,12)c(24,24,12)+t(24,32,28)*++
s(24,40,28)s(48,40,12)+t(24,48,20)-c(32,32,20)*s(16,24,20)-
s(24,16,20)s(40,16,20)+c(24,40,20)-t(32,16,12)-c(32,24,20)*
s(40,40,20)c(16,32,12)+t(32,32,20)-c(48,32,12)t(40,40,20)+*
s(48,24,12)c(32,40,20)+s(32,40,28)s(16,32,20)-c(48,48,12)+*
t(16,56,12)s(48,24,20)t(24,40,28)s(40,40,28)*c(48,40,12)-++
t(24,48,20)s(48,8,12)+c(40,24,20)-c(32,32,20)c(40,40,20)*+
s(32,32,28)c(40,24,12)-c(32,32,20)*t(32,48,28)t(16,16,12)+*
s(32,24,28)c(32,16,12)-s(24,32,20)t(32,56,12)s(48,40,20)+-*
c(32,24,12)s(24,16,20)s(24,40,20)-+t(32,40,28)+s(40,32,20)*
t(24,48,28)s(24,16,12)t(40,48,20)+s(32,40,28)s(40,16,12)+*-
t(48,24,12)c(40,24,12)+s(32,40,20)+c(16,48,12)s(40,48,12)++
t(40,48,20)s(8,24,12)s(32,40,28)+s(24,32,20)-*s(48,32,12)+
s(24,24,20)s(16,24,20)t(24,32,12)-*s(40,40,28)t(24,24,20)-+
c(32,32,12)s(48,16,20)+s(40,24,20)*s(24,40,12)c(48,32,12)++
c(32,32,28)c(40,32,12)-t(24,16,12)s(40,32,20)t(32,40,20)-+*
s(24,32,20)s(32,40,20)s(40,8,12)s(40,32,28)+*+t(24,40,28)*
t(24,32,28)c(32,32,20)*s(24,24,20)s(24,32,20)*t(16,56,12)+*
s(24,16,12)c(40,40,20)+s(24,24,28)s(24,32,20)--c(48,24,12)+
s(32,40,20)s(16,24,20)+s(32,32,28)s(24,32,28)t(40,32,12)-**
c(40,40,20)c(24,24,12)-c(32,40,20)+t(16,40,12)-t(48,40,12)-
t(24,40,20)s(32,40,12)s(40,24,20)+s(32,40,28)*+c(40,24,12)-
t(32,48,20)t(32,40,28)c(24,24,20)*c(32,32,20)t(24,32,28)**-
s(24,40,20)c(40,32,20)s(48,8,12)c(32,24,20)+*s(32,40,20)+*
s(40,16,20)s(32,32,28)+s(24,32,28)-t(32,16,12)s(40,48,12)++
s(32,32,12)c(40,40,20)t(24,40,20)s(32,32,28)s(24,48,20)**-+
c(24,24,20)s(16,16,20)t(24,24,12)-c(32,40,12)++c(48,24,12)+
s(24,16,12)s(16,32,20)c(32,24,20)-c(40,24,20)+c(32,40,20)-+
t(32,40,28)s(32,24,28)c(24,16,12)c(40,40,12)+*s(40,24,12)--
s(48,40,12)t(32,40,20)+t(48,24,12)t(32,40,28)t(40,40,20)*+*
s(32,40,12)c(40,32,12)s(32,40,20)+c(32,48,12)s(40,8,12)+-+
c(32,16,12)t(24,40,12)s(32,32,28)s(40,24,28)*s(48,40,12)-++
t(32,48,20)c(16,24,12)s(32,48,12)++s(32,48,20)*t(24,56,12)-
c(40,32,12)t(24,48,12)s(32,16,12)++t(24,32,20)t(24,48,12)+-
s(24,32,28)s(24,16,20)t(32,48,20)+c(24,40,20)-t(32,24,12)+*
t(40,40,20)c(24,32,20)+t(32,32,28)*s(40,40,12)-c(40,16,12)+
s(16,32,20)c(32,32,28)*s(24,32,28)s(24,32,20)t(48,56,12)+**
s(40,40,28)s(32,24,28)*t(24,32,28)s(40,24,28)+c(16,24,12)-*
t(32,32,28)s(32,48,20)s(32,40,20)*+s(40,32,28)*t(24,24,20)-
s(40,40,12)s(32,48,12)s(32,48,20)c(32,32,12)-+s(40,40,12)-+
s(8,8,12)s(40,16,20)s(32,24,28)s(32,40,28)c(32,32,12)--*+
s(32,32,28)s(32,24,28)t(32,32,28)+s(24,40,20)-c(32,32,12)+*
s(16,32,12)t(24,40,20)t(48,40,12)++s(8,48,12)-t(24,32,20)-
s(32,32,20)t(40,56,12)+c(24,40,20)c(40,16,12)+s(32,32,12)--
t(24,32,28)c(40,40,20)+s(40,24,20)s(48,32,20)-s(8,16,12)+-
s(32,24,28)c(32,32,28)c(16,40,12)-*c(32,40,20)c(24,32,20)**
t(32,32,28)s(48,48,20)-s(24,16,12)s(40,24,20)t(24,56,12)++*
s(24,24,28)s(32,24,20)-s(48,8,12)t(32,48,28)+c(32,32,12)++
c(32,16,12)c(48,40,12)+s(48,32,20)s(32,32,28)s(16,24,20)-+*
s(32,32,20)s(32,24,20)s(16,48,20)s(16,16,12)+c(32,24,12)+*-
s(16,48,12)s(32,40,20)s(24,32,20)++s(32,8,12)s(40,24,20)+*
s(8,32,12)c(32,40,20)s(40,40,28)t(48,32,12)-t(40,24,20)-*+
s(32,24,28)s(32,32,28)s(32,40,28)*t(24,24,20)-c(24,16,12)+*
t(32,48,20)s(40,16,12)+s(40,32,20)c(16,16,12)+c(32,40,20)*-
t(32,32,20)s(32,32,28)t(40,24,20)*c(40,40,20)c(48,48,12)-+*
t(32,24,20)s(48,24,20)s(32,24,20)c(40,40,20)t(32,32,20)+*--
t(32,48,28)c(40,24,20)s(40,32,28)s(32,48,20)*s(40,16,12)+*-
c(32,32,28)s(48,48,20)-t(32,56,12)c(32,40,20)s(24,32,28)*+*
s(40,40,28)s(16,24,12)+c(40,32,20)*s(40,40,12)t(40,48,20)+-
t(24,32,20)t(40,24,20)t(48,24,12)+s(48,24,20)+s(16,32,12)++
s(24,16,20)t(16,16,12)t(24,24,20)+s(32,32,20)s(24,40,20)*+*
t(32,48,20)c(32,40,20)c(24,40,20)*c(24,24,20)*+s(40,32,28)*
s(32,8,12)c(24,32,20)t(24,40,28)c(16,40,12)--s(8,32,12)-+
c(40,24,20)t(40,40,12)-s(24,48,12)+s(32,32,20)-c(40,16,12)+
s(24,24,20)s(40,24,28)c(32,24,20)s(40,48,20)+**t(32,40,20)+
c(32,40,12)s(16,16,20)t(24,40,28)c(24,32,20)*-+c(24,24,12)-
c(16,40,12)c(24,24,20)s(32,40,28)-+t(24,48,20)+s(24,40,20)-
s(40,40,28)t(24,48,28)c(40,40,20)*c(32,24,20)+c(16,24,12)--
c(48,16,12)c(24,32,12)+t(40,24,12)-s(48,16,12)s(16,40,20)++
s(8,8,12)s(48,48,20)+t(32,40,20)t(32,16,12)++c(32,16,12)-
s(40,32,20)s(24,24,28)*c(32,48,12)+s(40,32,12)-s(16,24,20)-
t(24,32,28)c(32,32,20)c(32,48,12)-+t(40,56,12)t(32,48,20)+-
t(24,32,28)c(32,16,12)t(40,32,12)+-t(24,48,28)t(24,48,20)--
c(24,24,20)c(16,32,12)t(40,48,12)++s(32,24,12)-t(32,40,20)-
c(24,24,20)s(40,40,20)s(32,24,20)-+s(32,40,28)s(16,32,12)--
c(16,16,12)s(40,40,28)s(32,16,20)-+s(40,48,20)-t(48,32,12)-
s(24,16,20)c(32,24,20)*t(24,40,28)s(40,40,28)s(32,48,20)---
s(40,40,20)s(48,48,12)-s(16,40,20)t(24,40,20)*+c(40,40,20)*
t(40,40,20)s(16,24,20)c(32,32,28)*+s(24,16,12)-s(16,32,20)*
t(24,32,12)c(40,24,20)c(40,32,12)t(24,48,20)+-s(40,40,28)-+
t(24,32,28)c(32,24,12)+s(40,32,28)*t(40,24,12)-s(32,24,12)-
s(48,24,20)t(32,40,28)c(16,24,12)c(32,16,12)s(48,32,20)++*-
c(32,32,20)c(24,24,20)s(24,40,20)s(40,40,12)+t(32,32,20)*-+
t(32,32,20)s(24,32,28)t(32,48,28)c(24,40,20)*s(32,48,20)**+
t(32,48,28)s(40,32,20)+s(8,48,12)c(32,24,20)s(24,32,28)*++
s(32,32,28)s(24,24,20)s(16,40,20)+*t(32,32,28)+c(24,24,12)-
c(16,32,12)c(40,32,20)c(32,32,20)*s(32,40,20)*+s(8,8,12)+
s(24,32,20)t(32,32,28)s(24,24,28)*c(40,48,12)+c(32,32,20)**
s(32,24,28)t(24,32,28)t(32,24,20)+t(16,48,12)+t(40,48,20)-*
t(32,40,28)s(40,32,20)+s(16,48,20)s(16,32,20)+s(24,32,20)--
c(40,40,20)c(24,32,20)*s(24,16,20)c(16,40,12)s(24,24,20)+*-
s(48,32,20)c(40,32,20)c(32,40,20)s(32,16,12)+*t(32,48,12)-*
t(40,48,20)c(24,40,20)+c(16,48,12)-s(16,24,12)-s(48,40,20)*
c(32,32,28)s(32,40,20)-s(32,40,28)s(32,40,20)-s(32,24,28)+-
s(32,32,28)t(48,24,12)s(24,40,28)+c(24,16,12)s(24,48,20)+-*
s(24,40,20)t(24,40,28)s(24,32,20)s(48,16,12)+s(32,24,28)***
t(24,16,12)s(40,48,12)+c(24,40,20)c(32,32,20)-+t(24,40,20)+
s(48,24,20)s(32,32,28)s(40,40,20)*c(40,24,20)*+s(40,24,20)*
s(48,48,20)s(40,40,28)s(48,48,20)s(40,32,28)t(32,32,12)----
s(40,40,28)s(32,48,20)s(40,16,20)+s(16,24,12)+*t(32,40,12)-
c(24,40,20)c(32,32,12)s(32,48,20)+c(40,48,12)-s(32,32,28)*-
c(40,24,20)c(24,24,20)s(24,24,28)t(48,16,12)+c(16,40,12)-**
s(40,40,20)s(32,24,28)s(32,32,28)t(16,32,12)-c(40,24,20)--*
s(32,40,28)c(24,24,20)s(40,48,20)t(32,32,20)-+s(32,48,12)-+
s(32,40,28)s(48,48,20)c(40,40,12)-+t(24,48,28)-c(32,24,20)*
t(24,40,20)c(24,32,20)s(40,48,20)-+s(24,24,20)+s(24,16,12)-
t(32,48,28)s(40,40,20)t(48,32,12)-s(24,16,20)-s(24,40,12)--
s(40,40,28)s(32,40,28)s(32,24,28)c(24,24,12)-+t(32,48,20)--
s(24,40,20)t(24,48,28)*t(40,32,12)t(32,24,20)s(48,24,12)-++
s(32,32,20)t(40,24,12)-s(24,40,28)s(8,32,12)-*c(40,40,12)+
t(48,32,12)t(32,48,12)+c(24,24,12)+c(24,40,20)t(40,48,12)-+
c(32,24,20)t(24,24,20)s(40,8,12)+t(24,32,28)s(16,48,12)-*-
s(16,16,12)t(32,40,28)s(40,48,12)-t(32,24,12)-s(40,24,20)-+
s(32,16,20)c(32,40,12)s(48,40,20)++c(40,24,12)-s(40,24,20)-
s(24,24,20)s(40,40,20)+c(40,24,20)s(48,40,20)*-s(24,24,12)-
c(24,32,12)s(8,48,12)+c(32,48,12)+c(40,32,20)s(16,40,12)+-
s(40,24,12)t(40,16,12)s(24,32,28)s(40,16,20)s(24,32,20)+-++
c(32,40,12)c(16,16,12)t(24,56,12)++s(32,40,20)s(32,24,20)+*
s(48,48,20)s(24,40,28)s(16,32,20)+t(24,32,28)*t(32,48,28)*-
s(24,16,20)t(48,32,12)+c(32,24,20)c(24,40,20)c(24,24,20)+**
c(40,32,12)s(24,16,12)+c(24,24,20)*s(48,32,12)-t(40,24,12)+
s(40,24,20)c(40,48,12)+c(48,24,12)s(24,24,28)t(32,40,28)-+*
s(24,48,20)t(32,48,12)-t(32,32,12)c(40,24,12)t(16,48,12)++-
s(16,32,20)c(32,32,20)c(24,40,12)t(40,56,12)+-+c(40,32,20)*
s(32,40,28)s(40,32,20)t(40,32,12)--s(32,32,28)*t(40,40,20)-
s(48,32,20)s(48,16,20)*s(40,16,20)+t(32,48,20)+t(24,32,28)-
s(32,32,20)c(24,24,20)c(32,32,20)-+t(24,40,20)s(8,48,12)+-
c(32,40,20)t(32,24,20)-s(24,40,28)*s(40,16,20)s(48,16,20)*+
t(24,40,20)s(32,32,12)-c(32,24,12)+c(16,32,12)-s(40,24,28)*
c(24,24,20)s(24,40,20)+c(24,40,20)t(16,48,12)--t(16,24,12)-
s(40,24,28)c(24,24,20)*s(40,40,20)+s(24,40,28)t(32,48,28)**
t(24,48,20)t(16,56,12)+c(40,40,20)c(32,32,28)s(24,32,20)---
c(32,32,28)s(40,24,28)c(48,32,12)-t(32,32,28)+t(24,40,20)*-
s(24,40,28)s(48,32,20)-c(24,32,20)+c(24,24,20)s(16,48,12)+-
c(24,24,12)s(8,8,12)+c(40,32,20)s(40,32,28)s(40,16,20)**-
s(48,32,20)t(24,40,28)s(24,32,20)*s(32,40,20)*s(32,24,12)+-
c(32,48,12)s(40,24,28)s(24,24,20)*+c(24,24,12)+t(32,40,20)*
s(16,16,12)c(40,40,20)+t(24,32,20)s(32,24,28)c(40,40,12)-*+
s(24,8,12)c(40,24,12)t(32,48,12)t(24,48,20)+++s(32,48,20)*
s(24,32,20)s(16,16,20)c(40,24,20)s(32,40,28)*+s(24,40,28)**
t(16,24,12)c(32,24,20)t(32,32,28)*c(32,16,12)+s(40,24,12)-+
c(32,24,20)s(40,24,12)-s(32,40,20)s(40,8,12)+*t(48,48,12)+
s(40,16,20)s(32,8,12)-s(24,40,28)+s(40,40,28)*t(24,24,12)-
s(24,32,20)s(32,24,20)-c(32,16,12)+s(16,32,20)s(24,40,28)*-
c(32,24,20)c(40,32,12)-t(40,32,20)c(32,40,20)*t(40,16,12)+-
s(40,40,28)s(40,32,28)s(16,24,20)s(32,40,28)-t(40,32,20)++*
s(24,40,20)t(48,48,12)t(24,40,20)++s(16,48,12)s(8,48,12)++
s(24,8,12)t(40,32,20)t(24,48,28)+t(32,40,28)c(32,48,12)-*+
s(40,48,20)s(16,24,12)+t(32,40,28)*t(48,16,12)+s(32,48,12)-
c(24,24,20)t(40,32,20)s(48,16,12)--c(32,40,20)s(40,40,28)*-
t(40,48,20)t(48,24,12)c(32,16,12)+s(16,48,20)t(32,32,28)-++
t(24,40,28)s(24,32,28)*s(16,8,12)t(24,16,12)s(48,48,12)+++
s(24,32,28)t(32,40,28)s(32,32,28)*t(24,40,20)*s(32,48,20)++
s(32,24,20)s(48,40,20)s(40,48,12)-+s(32,32,20)t(24,32,28)*-
s(32,24,20)s(24,32,28)s(40,48,20)c(32,40,20)*t(32,32,20)+**
c(24,32,20)t(24,40,28)s(16,16,20)-s(40,24,28)t(40,40,20)+*-
t(16,56,12)c(32,32,12)+s(16,32,20)c(24,40,20)*s(32,40,28)*+
s(40,32,20)s(16,16,20)s(40,24,28)s(24,32,12)-+*c(16,24,12)+
s(48,8,12)t(32,48,28)+s(16,40,12)+s(16,40,12)-t(40,48,20)*
s(16,48,20)t(32,24,20)+s(32,48,20)-t(16,40,12)-s(24,32,28)*
s(16,48,20)c(24,32,20)c(32,24,12)-t(16,24,12)-*s(32,24,28)+
t(32,24,20)s(40,32,28)c(48,24,12)-s(32,32,20)*t(16,56,12)++
s(32,16,20)c(16,16,12)c(32,24,20)+s(32,32,28)*s(8,16,12)+*
c(32,32,20)t(40,24,12)-s(40,48,12)-t(24,32,28)t(32,40,28)**
s(16,40,20)s(24,40,28)s(40,32,20)*c(48,24,12)-+s(24,24,20)-
t(32,40,28)c(48,16,12)+s(24,32,28)-c(32,40,20)s(32,48,20)*-
s(8,32,12)c(24,32,20)s(40,32,28)c(24,16,12)-*c(24,40,20)*+
t(24,48,28)s(16,16,12)+s(24,32,20)+s(40,40,20)s(48,16,12)+*
s(40,16,20)t(40,32,12)c(32,16,12)+s(24,40,20)s(40,48,12)-+*
c(32,32,20)s(40,32,12)s(48,16,20)+-s(40,40,12)-s(40,24,28)+
t(48,48,12)s(40,24,20)+s(24,32,20)s(48,40,20)t(16,40,12)++*
s(24,24,28)c(32,40,20)*s(32,40,20)*s(16,8,12)s(24,40,20)+*
c(40,24,20)s(32,16,20)s(32,48,20)s(16,40,12)s(40,40,12)+-+-
t(24,24,20)c(32,24,20)c(16,24,12)c(32,32,12)t(16,16,12)++**
s(32,48,20)s(24,32,28)s(24,48,20)s(24,32,28)*s(32,8,12)+**
c(40,24,12)s(24,24,28)s(32,32,20)t(24,32,12)-t(24,40,12)-*+
s(40,24,28)t(48,48,12)+c(32,40,20)s(40,32,12)--s(32,24,20)*
c(40,32,20)s(16,32,20)s(24,40,28)*+c(40,40,20)*s(40,24,28)+
s(24,24,20)t(16,24,12)c(40,32,20)t(32,40,20)t(48,40,12)+*+-
t(24,56,12)t(24,32,20)+s(48,32,20)s(48,16,20)*+c(48,40,12)+
c(16,32,12)t(24,48,28)t(32,32,28)*+t(32,16,12)+t(16,40,12)-
s(24,24,28)s(40,32,28)*s(40,24,28)s(40,48,20)t(32,48,28)*-*
s(16,16,20)c(32,24,12)+t(24,48,20)+s(24,48,12)t(48,24,12)+-
s(32,40,28)t(32,40,28)s(16,32,20)+c(24,40,12)-+s(32,24,20)*
c(40,24,12)c(24,40,20)t(24,48,28)*s(40,40,28)t(48,40,12)-*+
s(32,24,20)s(40,48,20)t(16,40,12)s(24,48,12)+t(16,48,12)++-
s(24,40,28)s(40,40,20)-t(24,32,20)-s(32,32,20)s(40,32,12)--
s(32,16,20)c(32,32,28)c(48,40,12)-s(32,8,12)-s(32,32,28)**
t(32,32,28)s(16,48,20)-s(32,24,12)-t(40,24,20)+t(48,40,12)-
s(24,32,20)s(32,48,20)+s(32,48,20)s(24,40,12)--t(32,48,20)-
s(32,24,28)s(24,24,28)s(40,48,20)s(24,48,12)+t(24,40,28)*-*
t(16,16,12)s(48,16,12)s(40,40,20)c(40,24,20)s(48,24,20)*-++
s(16,48,20)s(24,8,12)c(32,40,12)s(32,32,12)++c(40,32,20)*-
c(32,32,20)s(32,24,20)*c(24,40,20)c(24,16,12)c(40,40,20)+-+
c(40,40,20)s(40,40,28)s(32,32,28)--s(32,32,20)t(24,48,20)-*
t(24,32,28)s(32,24,28)*c(32,32,20)s(40,32,12)-+t(24,48,28)-
c(24,24,20)s(24,40,12)c(32,24,20)+*t(24,32,28)s(8,16,12)+*
s(40,32,28)t(24,40,28)s(32,32,28)**s(24,48,12)+t(32,56,12)+
s(32,24,20)s(32,40,20)s(24,24,28)*t(24,24,20)t(32,48,28)---
c(40,24,12)s(40,16,20)c(24,24,20)-s(24,32,12)++s(24,32,20)*
c(24,24,12)c(16,24,12)s(16,32,20)s(32,40,12)+s(24,40,20)*++
s(32,40,28)s(24,32,28)c(24,40,20)*s(24,24,28)*t(16,56,12)+*
c(40,16,12)t(24,48,20)+c(40,40,20)t(32,40,12)-s(48,40,20)*+
s(40,40,20)s(16,32,20)+t(24,48,20)c(24,32,20)+c(32,32,20)**
c(24,24,20)t(24,48,20)+s(16,40,20)*s(32,40,28)c(40,24,20)*-
s(40,48,20)c(24,32,20)s(24,40,20)t(40,32,20)+t(32,40,28)**-
t(24,16,12)t(16,32,12)s(40,48,20)t(32,40,28)*+s(48,32,20)++
c(24,24,20)t(32,48,20)s(32,16,20)c(24,32,12)+s(40,32,20)-++
t(32,32,28)s(32,24,20)t(24,32,28)*s(24,40,12)--s(24,32,28)*
s(16,24,12)s(40,48,12)t(24,48,20)++c(32,24,20)s(24,32,12)--
s(32,48,20)t(32,40,28)t(32,32,28)s(24,40,20)t(24,40,28)*+**
s(40,8,12)t(24,40,28)+s(40,32,28)*t(24,32,28)s(16,40,20)*-
s(48,24,20)t(24,32,28)s(32,24,20)t(40,40,12)+*-s(32,24,20)-
s(24,40,28)s(24,40,20)s(40,40,20)+c(24,32,20)s(24,24,20)**-
s(40,32,20)s(48,16,20)t(48,48,12)s(40,24,20)c(32,24,20)*+-+
s(40,40,20)s(48,40,20)c(40,40,12)-+s(32,40,20)-t(48,56,12)+
s(24,40,28)t(24,32,28)s(32,32,20)+s(48,40,20)+*s(16,32,12)-
s(32,40,28)t(48,48,12)-t(40,16,12)s(16,32,20)+*s(8,40,12)-
s(40,24,12)s(32,32,20)t(24,16,12)t(48,24,12)+-+t(24,32,20)-
s(16,16,20)c(48,16,12)+s(48,16,20)t(32,32,28)+*s(32,16,20)+
s(32,32,28)c(40,32,20)s(40,16,20)t(16,32,12)+t(32,32,28)*-*
t(24,32,20)s(40,40,12)-s(48,40,12)+c(40,24,20)s(24,16,20)-+
s(40,40,28)t(24,32,20)c(32,24,20)s(24,40,28)c(32,32,28)***-
s(32,40,28)c(32,32,28)s(32,24,12)-*s(32,40,20)s(48,32,12)-+
t(32,48,20)t(32,48,28)s(16,24,12)t(24,32,20)+-*s(48,32,20)+
s(40,16,20)s(24,24,28)c(32,32,28)**s(48,8,12)-s(40,48,12)+
s(48,48,20)t(16,48,12)s(24,48,20)t(32,32,28)-++t(40,40,20)-
t(40,40,20)s(32,24,20)c(24,24,20)*s(40,24,28)*+c(32,32,20)*
s(40,32,28)c(40,40,20)s(24,32,28)*c(24,40,20)*-s(16,40,12)+
s(32,48,20)s(24,48,20)c(24,32,20)s(32,48,20)*-t(32,32,28)--
s(32,48,20)c(16,32,12)+c(16,24,12)-c(24,40,20)*s(16,40,12)-
t(40,32,20)s(16,40,20)c(32,40,20)*t(48,24,12)++t(40,24,20)-
c(40,40,20)t(16,24,12)+t(32,40,20)t(16,32,12)+s(32,48,20)++
s(24,48,20)s(48,32,20)t(32,32,28)c(16,40,12)--+s(32,24,28)+
s(24,32,20)c(24,32,12)t(32,40,12)c(16,16,12)+++c(24,24,20)*
s(32,24,20)t(40,48,12)s(32,32,20)+c(40,32,20)t(32,40,12)-*-
s(16,32,12)s(32,24,28)c(40,32,12)-s(24,40,28)s(24,32,28)**+
s(24,40,20)t(40,24,20)s(32,8,12)+s(24,24,20)t(32,24,20)+*-
s(32,48,20)c(32,16,12)+s(40,48,20)s(24,48,20)*-t(32,32,20)+
s(24,32,28)s(16,32,20)t(16,24,12)-c(24,32,12)--c(24,24,12)-
c(32,32,28)s(32,48,20)-s(16,24,20)c(32,24,20)+*s(48,16,12)-
t(32,32,20)t(16,48,12)+s(16,40,12)-s(32,48,12)+c(24,32,20)*
c(32,40,20)t(32,48,28)t(32,56,12)-t(40,24,20)-s(40,16,20)+-
c(32,40,20)c(24,48,12)c(32,32,20)c(40,24,20)-+s(40,8,12)++
s(32,16,20)s(32,32,20)c(16,40,12)-s(48,48,20)c(40,32,12)-++
s(32,8,12)s(40,24,12)+c(24,48,12)+c(48,40,12)+t(40,16,12)-
t(32,48,20)t(32,40,28)s(32,32,28)t(24,40,12)-*s(32,32,12)-+
s(24,16,20)c(40,24,20)c(32,32,20)*c(48,24,12)+s(32,24,28)*-
c(40,16,12)s(32,48,20)s(40,40,20)*+s(32,40,28)c(16,16,12)+*
s(32,48,20)t(24,32,28)c(40,40,20)*+c(48,40,12)-s(16,48,20)*
t(24,48,20)s(48,32,20)+s(24,48,20)s(24,24,20)+t(48,24,12)+*
s(24,48,20)s(24,40,20)s(48,40,20)t(40,48,20)t(32,48,28)*-++
t(32,40,28)c(24,32,20)c(32,32,12)-s(40,40,28)+s(24,24,28)-*
c(40,16,12)c(32,32,20)s(48,24,12)t(32,48,28)+*t(24,32,12)-+
c(40,32,20)s(16,24,20)-s(24,40,20)t(40,24,20)+*s(40,40,12)-
s(32,32,28)s(16,24,20)s(16,40,12)--t(48,56,12)s(16,24,12)++
s(40,24,20)c(32,32,20)c(16,16,12)-s(48,24,20)*t(24,16,12)+*
s(16,24,12)s(32,40,28)t(40,24,20)-s(48,48,20)*s(40,40,12)++
t(32,40,28)s(40,40,28)s(32,24,12)-s(24,40,28)s(16,24,20)-*-
s(32,24,20)s(24,24,20)c(24,40,12)+*s(16,8,12)c(40,16,12)+-
s(24,16,20)s(40,32,28)t(32,48,28)*+s(32,32,28)c(16,16,12)+*
t(32,40,28)s(24,48,12)-c(32,32,20)+s(16,32,20)s(40,40,20)+*
t(32,32,20)s(32,40,28)s(40,16,20)t(32,40,12)+*+t(24,32,28)+
t(40,32,20)s(40,40,20)s(32,32,28)t(32,48,28)s(32,40,28)*+**
s(32,16,12)t(32,40,28)+c(32,24,20)s(32,40,28)c(24,24,12)--+
t(48,16,12)t(40,40,20)+t(48,48,12)-s(40,32,20)*c(48,32,12)+
c(32,40,20)c(16,24,12)c(32,40,12)+*s(32,24,12)+c(24,24,12)-
t(16,16,12)s(32,40,28)t(32,24,12)s(48,48,20)+s(40,40,28)**+
c(24,24,20)s(32,40,28)+c(40,32,20)c(24,40,12)+t(24,32,20)*-
c(32,24,20)s(32,40,28)s(24,40,28)t(24,40,20)-*-t(32,32,12)-
s(16,48,20)t(32,32,20)t(32,40,20)s(40,16,20)+*-s(32,40,20)+
s(24,32,20)s(32,32,20)+c(24,32,20)*s(16,48,12)-t(16,56,12)+
s(32,40,20)s(16,48,20)-c(40,40,20)s(16,32,20)-t(40,32,20)+*
t(24,48,20)s(48,32,12)s(32,24,20)+c(24,48,12)s(16,24,20)+*+
c(40,24,20)t(32,40,20)s(24,40,20)*s(40,32,12)+s(40,24,12)+*
s(24,32,28)s(16,40,20)c(32,32,28)c(24,40,12)---c(40,32,20)*
t(48,32,12)s(24,24,28)+s(8,16,12)-c(24,32,12)-t(40,40,20)+
c(32,24,20)c(24,24,20)s(32,48,20)t(32,24,12)+*s(8,40,12)+-
s(40,40,20)s(32,32,28)c(40,40,20)c(32,32,12)-s(40,32,28)**-
s(48,24,20)s(40,16,12)-s(48,32,20)*t(48,48,12)+s(40,48,20)-
c(40,24,20)s(24,32,28)s(32,24,20)**t(24,48,28)+s(16,48,20)*
c(48,40,12)s(32,48,20)c(24,40,20)t(32,40,12)-c(40,32,12)+*+
c(32,40,20)c(32,40,20)s(40,48,20)*-c(32,32,20)s(24,48,20)*-
s(40,32,28)s(32,16,20)-t(32,32,20)c(40,24,12)+-t(16,56,12)+
s(24,32,20)s(16,32,20)t(24,48,20)-s(16,24,20)*-s(32,16,12)+
s(32,40,28)s(24,40,20)s(24,8,12)+t(32,40,28)c(24,48,12)-+*
t(32,40,28)c(40,40,20)*s(40,32,20)s(32,40,28)*+t(40,24,20)-
c(40,40,20)s(24,24,28)c(40,32,20)t(40,40,12)-*-c(40,24,12)-
t(32,48,20)s(40,32,20)c(48,24,12)s(40,48,20)+*+s(32,32,28)*
t(32,24,20)s(16,48,20)c(24,40,20)*s(40,24,20)s(24,32,28)*+*
c(32,40,20)t(32,40,28)t(24,40,28)*-c(40,32,20)+s(48,32,20)-
s(32,16,20)t(32,24,20)t(24,40,20)t(40,16,12)+s(40,32,28)*+*
s(40,32,20)s(24,40,12)-c(24,32,20)c(24,40,20)*t(24,48,20)+-
s(40,24,20)t(40,48,20)s(32,48,12)+s(48,32,20)t(48,32,12)--+
t(24,32,20)c(24,40,20)c(48,40,12)+s(24,48,20)s(16,32,20)+**
s(40,24,28)s(48,48,20)-s(32,24,28)*c(32,40,12)-s(24,32,28)*
t(16,32,12)t(16,16,12)+s(48,24,20)+s(48,32,20)-s(48,48,20)+
t(16,56,12)s(40,32,20)+t(32,32,28)c(16,48,12)-s(48,48,12)-*
c(32,32,20)c(32,24,20)t(24,32,28)*t(48,56,12)++t(24,24,12)-
c(40,40,20)s(16,16,12)+s(8,40,12)t(48,16,12)+s(40,24,12)+-
s(32,40,20)t(48,40,12)s(16,40,20)+c(32,40,20)t(24,40,12)---
c(32,40,20)s(8,8,12)s(32,32,28)s(24,32,12)-t(24,40,20)-+*
s(32,24,28)s(40,32,28)t(32,40,28)t(40,24,20)+t(32,32,20)-*-
t(40,32,20)s(16,32,12)+s(32,40,28)+s(48,32,20)s(48,16,20)--
t(24,48,28)c(32,32,28)t(24,40,28)s(8,48,12)--s(32,24,28)--
s(16,32,20)s(32,16,12)s(32,48,20)++c(24,24,20)*s(24,16,20)*
t(32,48,28)t(32,40,28)t(40,24,20)t(40,40,12)++s(32,24,20)*-
t(32,40,28)c(24,32,20)s(24,16,12)-s(24,24,28)**c(40,48,12)-
c(40,40,20)s(24,32,28)s(32,48,20)*-t(32,16,12)+s(16,32,20)+
s(32,32,20)s(40,40,12)-s(32,48,20)s(40,40,20)s(32,32,20)---
s(48,48,12)s(24,32,20)+c(24,40,20)+s(32,32,28)s(32,40,28)*-
s(32,24,12)t(48,32,12)+s(40,16,12)-c(24,48,12)+s(24,48,20)*
s(32,40,28)t(24,40,28)*t(24,32,28)t(32,56,12)++s(40,32,12)-
s(40,24,28)c(16,40,12)+c(40,40,20)s(24,40,20)*-s(24,24,12)-
s(24,32,28)s(40,48,20)c(32,32,28)*-t(32,32,12)s(8,24,12)+-
s(16,24,20)c(16,24,12)-t(32,24,20)+t(16,48,12)+t(32,32,12)-
s(32,16,20)c(32,24,20)+c(32,24,12)-t(48,32,12)-s(24,16,20)*
s(16,32,20)t(24,48,28)s(32,48,12)t(32,32,20)+*-s(16,40,20)*
s(40,40,20)t(32,32,28)t(24,32,28)+s(48,16,20)s(8,40,12)+--
s(40,40,20)c(40,32,20)*c(40,24,20)c(40,32,20)*c(32,24,20)**
t(48,24,12)s(32,48,20)s(24,48,20)+t(32,40,20)-+t(48,16,12)+
s(32,40,28)t(32,48,28)s(40,24,20)s(32,32,28)s(40,24,28)**+*
t(16,24,12)s(40,40,20)s(48,16,12)+c(24,40,20)*+c(48,40,12)-
c(40,32,20)c(40,24,20)s(32,24,12)--t(24,40,20)s(32,32,12)--
t(48,40,12)s(40,48,20)c(32,24,20)t(48,56,12)+t(40,32,20)*-+
t(32,56,12)c(40,24,20)s(32,32,20)*+c(48,40,12)-s(40,40,28)*
s(32,40,20)s(24,16,20)s(48,24,20)+s(48,24,12)-s(24,24,28)*-
s(32,32,28)s(40,32,28)t(32,40,28)s(24,48,20)*-c(48,32,12)-*
c(32,24,20)s(40,24,20)s(16,40,20)+c(40,24,20)s(24,24,20)*-*
s(40,48,20)t(32,32,28)s(48,32,20)--s(40,40,20)*t(32,32,12)+
c(40,24,20)s(40,16,20)s(8,48,12)c(16,32,12)++s(8,32,12)-*
c(16,32,12)c(24,40,20)s(16,40,20)*t(24,32,28)*+t(24,48,12)-
t(40,32,20)t(32,56,12)+c(40,32,20)+s(16,16,20)s(40,48,20)++
s(32,24,28)s(16,48,20)-s(24,40,20)s(40,32,28)*-s(40,24,20)*
t(48,48,12)t(16,56,12)c(48,16,12)+s(40,24,28)c(16,48,12)+*+
s(32,24,28)t(32,56,12)+t(40,48,20)c(40,24,12)+s(32,24,20)+*
c(16,32,12)s(48,40,20)s(40,48,20)*c(16,16,12)+c(32,16,12)++
t(48,16,12)c(16,16,12)+c(24,40,20)c(32,32,28)t(40,48,20)*--
s(40,32,28)t(24,32,20)c(32,40,12)+t(16,24,12)-t(16,40,12)--
t(32,16,12)s(24,24,28)s(40,32,20)*+s(24,48,20)+s(48,40,20)-
s(48,48,20)s(40,40,28)t(32,24,12)-s(16,32,20)-s(40,24,28)*-
s(40,32,20)c(40,24,20)s(24,24,20)t(32,32,28)s(40,48,12)-**-
t(32,48,12)s(24,48,20)s(32,48,12)-t(24,16,12)s(8,32,12)+++
t(40,16,12)c(32,40,12)+t(32,24,12)+c(16,40,12)-s(32,24,12)-
c(24,24,20)s(32,32,12)c(32,32,20)t(40,32,20)-t(24,48,20)-+*
c(40,32,20)s(40,40,28)s(32,40,28)c(40,48,12)-*c(24,48,12)+*
c(16,24,12)s(32,32,12)+s(32,16,20)-t(40,32,12)c(24,40,12)++
s(40,32,28)s(48,48,20)*t(32,40,20)s(40,32,20)++s(16,24,20)+
t(16,24,12)s(32,32,20)c(16,32,12)s(40,40,28)+*s(24,24,28)*+
c(32,40,20)s(32,48,20)*t(32,32,20)s(32,40,28)t(40,32,20)*+-
c(40,40,12)c(32,32,20)c(32,40,20)*t(32,40,12)-+s(24,40,20)*
c(40,32,12)s(48,40,12)+s(16,16,20)s(40,24,28)c(16,24,12)+*+
s(24,48,20)t(24,32,28)s(32,16,20)+c(32,24,20)s(24,16,20)*-*
s(48,16,20)s(32,40,28)s(32,24,20)s(24,48,20)s(40,40,12)+--+
s(24,24,20)s(40,24,28)*s(32,32,20)+t(40,40,20)s(16,48,12)+*
c(32,24,20)c(24,16,12)t(32,40,20)s(24,40,20)*+s(40,24,20)+*
t(32,32,20)s(16,40,20)s(16,24,12)++s(32,24,28)t(32,24,20)--
s(24,48,20)s(24,24,20)-t(40,40,20)+s(40,40,28)*c(16,48,12)-
t(24,40,20)s(32,24,20)+s(24,32,20)s(32,24,28)c(40,32,20)*+*
t(32,40,28)t(24,32,12)-t(40,32,20)t(32,32,28)c(16,40,12)-*+
c(32,24,20)t(32,40,20)+s(16,24,20)-s(8,24,12)s(32,40,12)+-
s(32,32,28)s(16,40,20)-t(24,24,20)-s(40,24,28)c(24,40,20)*-
c(40,32,20)c(48,16,12)-s(24,24,28)s(32,40,20)*t(40,48,12)+-
s(32,32,28)t(16,40,12)c(40,16,12)+s(32,24,28)c(24,32,20)*+*
s(40,24,28)c(40,32,20)t(32,32,28)+c(24,32,20)*t(32,40,12)-*
c(24,32,20)s(32,32,12)-c(24,40,12)+s(24,16,12)t(40,40,12)+-
s(40,48,12)c(24,32,20)+t(32,48,20)t(24,16,12)+*t(24,40,28)*
s(48,32,20)t(24,32,28)t(24,40,28)c(24,40,20)s(48,48,20)-*-+
c(40,48,12)s(40,32,20)s(48,40,12)-c(32,16,12)-+s(24,32,12)-
t(16,32,12)s(40,24,28)+t(24,40,28)-s(32,48,20)t(40,16,12)++
t(24,32,28)s(40,24,12)+s(24,48,12)s(32,24,12)+*t(24,40,28)+
s(40,24,28)t(40,16,12)-s(32,48,20)+s(40,32,28)s(24,40,28)--
s(16,32,20)c(16,48,12)-c(24,40,20)t(32,32,28)*s(24,40,20)*-
t(40,48,20)t(40,24,12)+s(32,32,28)t(16,32,12)-s(32,24,28)*-
c(24,24,20)s(16,40,20)+t(32,48,28)s(40,32,28)c(40,40,20)**-
t(40,32,20)s(48,8,12)+t(24,32,20)c(32,40,20)*-s(40,16,20)*
t(32,48,28)c(40,40,20)s(32,32,28)t(24,40,12)-s(48,32,20)**-
c(32,40,20)t(32,48,28)*s(24,48,20)s(40,40,28)*c(16,40,12)+*
t(32,32,28)s(24,24,28)*c(32,32,28)s(40,16,20)*s(16,32,12)+*
s(24,48,12)s(40,40,28)c(40,32,20)+c(32,48,12)t(24,24,12)+*+
c(24,32,20)c(24,16,12)t(32,32,20)+t(24,40,20)s(16,16,20)+**
s(48,48,20)s(40,16,20)t(48,56,12)+t(24,48,12)+-c(40,32,20)+
s(24,48,20)s(32,16,20)s(40,32,28)*c(24,40,20)+c(16,40,12)-*
s(40,40,28)s(8,48,12)s(24,24,28)s(40,24,20)*t(24,16,12)-+-
s(32,32,28)s(24,48,20)s(48,40,20)+*s(16,16,20)+t(32,48,28)*
c(40,32,20)c(48,32,12)c(16,48,12)s(48,16,12)+t(32,40,28)-+-
s(32,32,28)c(24,24,20)*s(16,24,20)c(48,16,12)+s(8,40,12)+*
t(24,40,20)s(32,24,28)s(16,24,20)-c(48,32,12)--c(16,48,12)+
s(24,32,28)t(24,48,28)s(40,16,12)s(32,48,12)+s(32,24,12)-+*
s(24,32,20)c(32,40,20)t(32,40,28)*t(48,40,12)+c(48,16,12)+*
t(16,48,12)c(24,40,20)c(32,32,20)s(24,48,12)-*t(32,40,28)*+
s(40,32,20)c(32,24,12)-c(40,24,20)+s(32,16,20)*s(40,24,20)*
t(32,40,28)t(40,48,20)+s(32,24,28)t(40,48,12)+t(48,56,12)+*
c(24,32,20)c(16,48,12)+s(16,48,12)c(32,24,20)+*s(40,32,20)+
s(24,48,20)s(32,32,20)-s(40,40,12)+c(32,40,20)*c(16,40,12)-
s(32,24,20)c(40,24,20)s(24,32,28)--t(24,40,12)t(32,24,12)+-
s(32,48,20)t(24,40,28)s(16,40,20)+t(24,48,20)--c(40,40,20)+
s(24,32,20)t(32,24,20)-t(16,48,12)t(24,40,20)+s(32,32,28)*+
s(32,24,20)s(8,16,12)s(32,16,12)++s(32,40,28)*t(32,40,12)+
s(40,32,28)t(24,32,28)*s(48,48,20)-s(32,24,20)+s(24,8,12)+
t(40,32,20)c(48,24,12)t(24,48,20)+t(40,48,20)-+c(40,24,20)*
s(16,32,20)s(16,40,12)-s(8,48,12)+s(24,40,28)s(40,40,20)-*
s(32,8,12)t(16,32,12)+t(24,32,28)s(24,32,12)-+t(24,40,20)-
s(32,48,12)s(32,32,20)t(32,32,28)s(40,40,28)t(24,48,28)*-*+
s(24,24,28)t(48,48,12)s(24,32,28)+t(16,24,12)-t(16,40,12)-*
s(24,40,28)s(40,24,20)-s(32,40,20)t(24,40,28)s(24,32,20)*--
s(40,24,28)t(32,32,12)-s(32,24,28)*s(40,24,20)s(40,48,20)--
c(32,40,20)s(32,24,20)+s(24,48,20)s(48,24,12)c(32,24,12)++*
s(24,8,12)s(32,32,20)c(16,24,12)-s(24,16,12)++s(16,24,20)+
s(24,32,20)s(24,24,28)s(24,40,28)*+c(24,32,12)-s(24,8,12)+
s(40,32,20)t(40,32,20)t(24,24,20)--t(16,24,12)+s(24,48,12)+
c(24,32,20)s(24,32,28)s(24,16,20)*s(16,40,20)+*c(24,24,20)*
t(32,40,28)s(24,40,20)s(32,32,28)t(24,32,28)*t(32,56,12)+**
t(32,24,12)s(24,32,28)c(16,48,12)-c(32,32,20)*s(24,24,12)-+
t(32,32,28)c(32,32,20)s(40,32,28)t(24,24,20)s(32,40,12)--*-
t(24,40,28)t(32,32,28)c(32,16,12)t(16,32,12)+c(32,40,12)+**
s(32,24,28)t(32,16,12)-s(40,24,28)t(48,16,12)-*s(32,40,12)-
s(48,32,20)c(32,48,12)+c(24,24,20)s(24,40,28)*-t(32,40,28)-
s(40,40,28)c(16,32,12)t(24,48,20)t(48,48,12)++c(16,48,12)-*
c(48,48,12)c(24,24,20)s(16,32,20)-+c(40,40,12)+t(32,48,20)-
s(40,40,20)c(40,32,20)+c(40,24,20)*c(48,48,12)c(32,24,12)+*
s(40,32,28)t(32,32,28)-s(24,32,20)t(32,32,20)*s(48,24,12)+-
c(32,24,20)s(32,48,12)c(24,16,12)s(32,16,20)s(48,16,20)*++*
c(32,32,20)s(32,24,12)s(24,48,12)+-s(40,32,20)s(32,24,20)*-
t(32,32,20)s(24,24,28)c(48,40,12)t(32,56,12)++c(40,40,20)**
t(24,56,12)c(32,16,12)+s(32,24,28)s(16,16,12)t(32,32,12)+*-
s(16,32,20)s(16,40,20)c(32,48,12)-t(24,40,28)t(40,24,20)-*-
s(24,32,20)c(32,40,12)c(24,24,20)s(16,32,20)s(16,40,20)*-+*
s(40,40,20)s(40,32,12)c(48,48,12)+s(48,32,20)*-s(40,32,28)*
t(40,24,12)t(24,24,20)t(32,48,20)+c(48,40,12)t(24,40,20)+*+
s(16,40,20)s(16,32,20)s(24,40,20)*-c(16,40,12)+t(32,32,20)-
c(32,32,20)s(16,40,20)s(16,24,20)*-t(24,48,20)+t(24,32,20)-
s(48,40,20)s(32,40,20)s(24,24,28)++s(40,48,20)-c(32,32,28)*
c(40,16,12)t(40,56,12)t(40,32,20)+s(40,48,20)*t(40,32,12)++
c(40,32,20)c(32,24,20)t(32,32,28)s(40,40,28)*+*t(48,16,12)-
c(40,40,20)c(32,40,20)c(24,32,20)*c(32,24,20)t(16,24,12)-++
c(32,40,20)c(32,32,28)s(48,24,20)-s(16,40,12)-t(24,48,12)-*
c(32,24,20)s(24,16,20)+s(40,16,20)s(40,32,20)s(40,32,12)---
c(32,40,12)s(40,24,28)t(32,48,28)c(32,32,20)+*c(40,24,20)*+
s(32,40,28)s(8,24,12)+s(48,24,20)c(48,40,12)s(40,8,12)+-+
c(40,32,20)c(32,40,20)*t(32,40,20)*s(32,8,12)+c(32,16,12)+
s(40,40,20)c(48,24,12)+s(32,48,20)c(48,40,12)--c(40,24,20)*
c(16,48,12)s(40,16,12)s(40,40,28)+t(24,40,28)+t(24,32,28)*+
t(48,24,12)s(24,48,12)t(32,32,20)+s(32,32,28)t(24,48,28)*-+
s(48,32,12)c(24,32,20)t(32,40,12)-s(24,32,20)*+c(32,24,20)*
t(24,40,28)t(40,32,20)c(40,40,20)c(32,32,20)**-c(32,24,12)+
c(24,32,20)t(40,40,20)t(16,24,12)++s(24,16,12)-t(16,40,12)-
t(48,56,12)s(24,40,12)t(16,48,12)++t(16,32,12)s(48,24,20)++
s(48,40,20)c(40,40,20)*t(32,40,20)c(16,16,12)c(16,48,12)+-+
t(32,40,28)s(48,8,12)+c(16,40,12)-s(32,24,20)c(40,32,12)-+
t(48,56,12)c(32,24,20)c(40,32,20)*+s(24,16,20)+t(40,32,12)-
s(40,24,28)s(48,48,20)-s(24,40,28)s(40,32,28)s(16,48,20)+**
t(32,24,20)t(48,56,12)+t(48,56,12)-c(40,40,20)t(24,48,28)++
s(32,32,28)s(24,32,20)-t(24,48,28)t(32,56,12)--c(40,24,20)*
s(40,32,20)c(40,24,20)s(16,24,20)-+t(48,32,12)t(32,40,20)+*
c(32,40,20)c(16,48,12)s(24,24,20)+*s(24,40,20)t(32,40,28)**
t(32,32,20)c(32,32,20)s(24,24,28)s(8,16,12)c(32,24,20)+***
t(16,56,12)c(24,32,20)+s(16,32,20)s(16,24,20)*-t(40,24,12)-
c(40,48,12)s(40,16,20)+t(32,40,28)s(24,16,12)+*s(32,40,12)+
s(16,32,12)s(48,48,12)+s(32,16,20)s(16,16,12)-+s(40,24,20)*
c(40,32,20)s(48,40,20)c(32,24,20)+t(24,32,28)s(16,32,12)--*
c(24,32,20)s(8,24,12)+t(32,32,28)s(32,24,20)*s(48,16,20)+-
s(40,32,20)s(40,40,20)*t(32,48,12)s(40,16,12)+-c(48,24,12)-
s(40,32,28)s(24,40,20)s(32,32,20)+c(32,24,12)-c(32,40,20)**
s(40,40,20)c(48,16,12)c(32,40,20)t(32,56,12)-+t(40,24,20)*-
s(24,48,20)s(32,32,28)s(32,40,28)s(40,40,20)c(24,32,20)*---
c(40,32,20)s(16,48,20)s(32,24,12)+-s(40,40,20)s(24,32,28)*-
t(32,24,20)c(16,32,12)+s(32,24,20)c(40,16,12)+t(32,48,28)+*
t(48,48,12)t(40,40,12)c(32,40,20)c(24,24,20)t(32,40,28)**++
s(40,48,20)t(24,48,28)c(32,16,12)s(40,24,20)c(48,40,12)-++*
s(40,40,20)s(24,40,28)*t(16,56,12)+s(16,32,20)t(48,16,12)++
s(24,48,20)s(48,48,20)s(32,24,28)--c(24,24,20)t(24,32,28)*+
s(24,48,20)t(32,32,20)t(32,40,12)-t(16,24,12)+c(32,32,20)*-
s(16,40,20)c(32,32,28)t(48,56,12)c(40,16,12)+s(32,48,12)+-+
s(24,40,20)s(16,40,20)*c(24,16,12)c(24,40,12)+c(24,48,12)+*
s(24,8,12)s(48,32,20)+c(24,40,20)s(24,24,12)-s(32,32,20)-+
t(24,32,28)c(40,32,20)t(32,32,20)t(32,24,20)+s(16,24,12)+*-
t(24,32,28)c(16,16,12)-c(32,24,12)c(40,40,12)s(8,16,12)++*
t(32,48,12)t(24,32,20)+c(40,32,12)-s(24,24,28)*t(40,48,12)+
s(48,40,20)s(40,48,20)*c(40,48,12)+s(48,24,20)+s(48,24,20)-
s(32,32,20)t(48,24,12)s(32,32,28)s(32,24,20)t(40,40,20)+-+-
c(40,32,20)s(40,32,20)s(48,32,12)t(48,16,12)+-s(8,40,12)+*
c(40,24,20)s(24,24,28)t(40,40,20)-t(16,32,12)-*t(32,24,20)+
s(40,16,20)s(8,24,12)t(40,32,20)t(32,40,20)+s(24,48,20)-+-
s(32,32,28)s(32,16,20)c(32,32,28)*s(48,24,20)-c(48,24,12)+-
s(16,40,20)t(16,32,12)-c(32,32,20)s(40,32,20)t(24,48,20)-*+
t(40,32,12)s(24,32,28)s(32,32,20)s(48,16,20)--+t(24,32,28)*
c(24,40,12)c(40,40,20)c(24,40,12)-+c(16,48,12)-c(24,24,20)+
c(24,24,20)t(40,40,20)-s(40,24,20)t(40,32,20)*c(48,40,12)+-
s(24,40,12)s(40,16,20)+c(40,32,12)-s(48,16,12)-s(40,16,20)*
t(32,32,28)s(48,40,20)c(40,32,20)s(48,16,20)-*-t(40,32,20)-
c(32,40,20)c(16,48,12)s(48,32,20)++c(48,16,12)-s(8,8,12)+
s(24,24,28)s(24,32,20)s(32,32,28)s(48,24,20)s(8,32,12)+*--
t(40,24,20)s(16,16,20)s(16,32,20)-+s(32,32,28)t(24,16,12)--
c(40,24,12)s(24,32,20)+c(40,40,20)s(24,24,20)+*s(16,32,12)-
s(16,16,12)t(24,56,12)+s(24,40,28)c(32,40,20)*c(40,40,20)+-
s(40,40,28)s(48,32,12)-c(32,32,28)s(40,32,20)-t(24,32,28)-*
s(48,16,20)s(24,32,28)+t(32,24,20)-s(48,32,20)c(24,32,20)-+
s(32,32,20)s(48,16,20)c(24,16,12)++s(48,16,20)-s(32,32,28)*
t(24,32,28)t(32,48,28)s(24,16,20)s(24,32,20)*+*s(40,24,12)-
s(40,32,28)s(32,16,12)-s(40,24,28)t(32,48,28)-*s(16,48,20)+
t(32,32,28)s(24,32,28)*c(40,40,12)-s(40,24,28)c(32,32,20)-+
c(40,40,20)c(40,40,12)s(8,48,12)+t(16,56,12)t(16,32,12)++*
t(32,40,28)t(24,48,20)c(24,24,20)-+s(24,32,20)+s(8,40,12)+
t(32,32,28)s(48,40,20)s(48,32,20)*t(48,32,12)--s(48,24,20)-
c(32,24,20)t(32,40,28)s(48,32,12)+s(48,8,12)+*c(24,32,20)*
s(48,16,20)t(48,16,12)s(8,48,12)s(32,40,12)++-s(24,24,20)-
c(32,32,20)t(24,32,28)s(32,24,20)*-s(40,40,28)t(16,56,12)+*
t(16,16,12)c(40,32,20)+s(24,40,12)-c(40,24,20)s(40,32,20)*-
s(24,40,20)t(40,24,20)+s(32,40,20)+s(48,16,12)c(24,40,12)+*
s(16,16,20)t(32,40,12)+c(24,32,20)+t(24,48,20)-s(32,32,20)*
c(40,40,20)s(32,40,28)c(24,32,20)*s(16,24,12)s(40,48,12)+-*
s(32,32,28)s(40,40,20)s(16,16,20)s(48,24,12)++*t(40,48,12)-
c(48,16,12)c(32,32,20)+s(16,32,12)s(40,48,12)+-t(24,40,20)-
s(40,48,20)s(32,40,12)s(48,40,20)s(32,24,20)-s(16,16,20)++*
s(32,16,20)s(24,40,20)s(48,24,20)+c(24,40,20)s(40,32,28)---
s(16,40,20)t(32,40,28)c(32,32,20)c(32,40,12)-+s(32,40,28)+*
s(32,32,28)s(24,40,28)*s(40,24,20)-s(48,48,20)c(32,24,20)-+
c(24,24,20)t(24,24,12)-t(40,40,20)+s(40,40,28)c(24,32,12)-*
t(32,24,20)c(40,40,12)t(16,24,12)+s(16,48,12)s(48,40,12)+-+
t(40,32,12)t(32,24,20)s(32,32,20)s(32,48,20)s(48,32,20)-+*+
t(16,48,12)s(40,16,20)s(32,32,12)-+s(32,24,20)t(32,48,28)+-
t(24,56,12)s(32,24,28)s(16,32,20)-+t(32,32,20)+c(40,32,20)*
c(32,32,20)s(24,48,20)+t(24,32,20)-c(24,32,20)s(16,32,20)+-
s(32,32,20)c(40,40,20)*t(40,32,20)+s(32,32,20)*t(32,48,20)-
t(24,56,12)s(32,8,12)s(32,24,20)+t(48,32,12)s(16,24,20)+-+
s(40,16,20)t(40,32,20)s(32,24,28)s(48,16,20)*s(32,32,12)-+*
s(32,48,20)c(32,24,20)+s(8,24,12)+c(24,32,12)-c(40,32,20)*
c(32,16,12)c(16,48,12)+s(32,24,28)s(16,48,20)t(24,48,28)*-+
s(48,48,20)s(48,24,20)+c(32,16,12)c(32,48,12)t(48,56,12)++*
s(32,32,28)t(24,32,20)s(32,24,12)t(24,48,28)+c(32,40,20)+*-
s(24,40,28)s(40,40,28)*c(24,32,20)t(48,16,12)+c(40,24,12)-*
t(24,48,28)t(24,48,28)t(40,40,20)+t(24,40,28)**c(32,24,20)+
t(24,40,28)s(8,32,12)c(40,24,12)+s(40,40,28)c(32,24,20)*+*
s(40,8,12)s(32,40,28)+t(24,32,28)-s(24,16,20)+s(32,48,20)+
s(32,32,20)c(32,40,20)t(40,24,20)s(24,24,28)t(32,24,20)-+--
c(48,40,12)c(40,16,12)+c(32,40,20)t(24,48,20)*+c(48,40,12)-
s(40,16,20)s(32,24,20)s(16,32,12)-t(24,48,12)++c(32,32,20)+
t(24,48,28)s(24,24,20)t(24,40,28)*-c(32,48,12)-t(32,56,12)-
c(24,48,12)t(32,24,20)+c(24,40,20)t(48,16,12)c(32,32,12)+--
s(40,24,28)s(32,24,28)t(24,16,12)t(40,40,12)s(16,32,20)++--
s(32,40,28)c(16,48,12)-c(24,40,20)-c(24,24,12)+c(32,32,20)*
s(40,16,12)s(16,32,20)s(40,40,28)-s(24,40,28)*+c(24,24,12)-
s(16,16,12)t(24,16,12)t(24,48,12)++c(48,32,12)+s(48,32,20)*
c(40,40,20)s(16,40,20)-t(32,32,28)c(40,32,20)c(32,40,20)***
c(16,16,12)c(24,32,20)t(32,24,12)s(48,40,12)+-s(16,48,20)*+
s(32,40,20)s(48,48,12)c(24,32,12)c(24,24,12)++c(24,32,20)+*
t(40,16,12)s(48,24,12)c(24,40,20)+c(32,40,20)*+s(48,32,12)+
s(40,16,20)s(48,32,20)s(40,16,12)+*c(32,24,20)s(32,40,20)*+
s(40,32,28)s(40,40,12)-s(32,24,20)s(16,40,20)-c(24,32,12)--
s(32,32,28)s(24,24,28)*c(32,40,20)*s(48,40,20)c(40,32,20)+*
t(32,40,20)c(24,32,12)+s(48,40,20)+t(32,40,28)*c(40,24,20)*
c(24,24,20)c(40,32,20)s(40,24,20)s(40,32,12)-*-c(24,24,12)-
s(24,24,20)s(32,24,20)c(48,48,12)++t(24,24,12)-t(24,32,20)-
s(32,32,28)t(24,48,28)c(32,32,28)+s(16,32,20)t(32,24,12)+*-
c(32,40,20)s(24,40,28)s(24,48,12)-s(40,40,20)c(24,40,12)-++
s(40,32,28)s(32,40,28)*c(40,32,20)c(32,40,20)c(32,24,20)*--
s(32,40,20)c(48,16,12)s(24,48,12)+-s(40,32,28)*t(24,32,12)+
s(24,16,20)s(24,32,28)t(24,48,20)s(32,24,20)--+c(24,32,20)-
c(24,16,12)c(32,32,20)c(32,32,12)-s(40,40,28)s(40,24,12)-++
t(48,56,12)c(32,32,12)s(32,24,12)++s(48,24,20)-c(32,32,28)*
t(32,24,12)s(48,48,20)s(32,48,20)s(16,48,20)-*s(16,16,12)++
s(32,24,28)t(24,32,28)c(32,40,20)s(40,24,28)**-t(32,32,28)*
t(16,56,12)c(32,24,20)s(32,32,20)s(16,40,20)s(16,24,20)*--+
c(32,32,20)s(40,32,28)*s(16,48,12)s(40,48,12)+s(48,32,12)+-
c(32,24,20)s(24,32,28)*s(32,48,20)-s(24,16,12)s(40,40,20)++
s(40,40,20)s(24,48,20)-s(48,48,20)s(40,40,20)t(24,40,28)---
t(40,32,20)s(32,40,28)*s(32,48,12)+s(16,24,20)t(24,56,12)+-
t(32,40,28)s(40,32,28)c(32,40,12)-s(48,32,20)*-t(32,48,28)*
t(32,48,28)s(32,48,12)s(8,40,12)+s(40,40,12)+s(16,32,20)+-
c(24,32,20)s(24,24,28)t(24,32,28)*s(32,24,12)-*s(24,32,20)+
s(16,32,20)s(32,40,20)-s(32,48,12)s(16,40,20)t(24,24,20)++*
s(32,24,20)t(48,24,12)t(32,32,28)+c(32,40,20)*+s(32,40,28)*
s(24,40,20)s(16,16,12)s(48,40,20)+t(32,48,20)-+c(48,32,12)-
s(32,32,20)s(24,40,28)*c(24,40,20)s(32,24,28)--s(24,32,20)*
s(40,40,28)c(32,32,12)-s(24,8,12)s(32,24,12)s(16,32,12)+++
c(32,32,28)s(24,48,12)-t(24,32,28)*s(32,24,20)+c(24,24,12)-
s(40,8,12)t(24,32,28)c(24,48,12)t(40,32,12)+t(48,32,12)--+
c(40,32,20)c(40,24,20)*s(16,24,20)s(48,16,12)++s(40,16,20)*
c(24,32,20)s(48,24,20)-s(24,32,28)t(16,32,12)t(24,32,12)+-*
c(24,32,20)t(32,40,28)*c(40,32,20)+c(24,24,12)c(48,40,12)+*
s(24,48,20)c(40,40,20)s(24,8,12)+s(40,32,28)+c(32,40,20)**
s(16,16,20)t(24,40,28)s(40,32,28)s(32,32,28)+c(16,24,12)---
s(16,16,12)t(32,48,28)s(24,40,28)t(40,24,20)-t(24,40,28)**+
c(24,32,20)s(24,32,28)s(32,40,28)c(40,48,12)-s(16,48,12)-*-
s(32,32,28)t(48,24,12)s(24,24,28)+t(40,56,12)+*s(24,24,20)*
c(16,48,12)t(40,16,12)+s(48,16,12)-t(24,40,12)c(32,32,12)+-
s(40,32,28)s(40,24,20)-s(48,32,20)c(40,40,12)-s(32,16,20)-+
s(40,40,20)s(40,32,20)*s(40,24,28)*c(24,48,12)+c(40,48,12)-
t(48,16,12)s(24,40,28)s(24,32,28)*s(16,40,20)*+s(32,16,20)-
t(24,56,12)c(32,24,20)+t(32,40,12)-s(16,40,20)-s(24,40,28)-
c(32,40,12)t(40,32,12)s(40,48,20)+s(48,40,20)*t(32,24,20)++
c(40,32,20)s(24,40,28)t(40,48,20)s(32,24,28)--*s(16,32,12)-
s(40,40,20)t(32,40,12)s(48,24,20)+*c(40,32,12)t(48,16,12)++
s(16,48,20)s(32,32,28)s(32,32,12)-s(48,32,20)--s(24,40,20)-
c(16,40,12)s(16,16,20)t(48,56,12)s(16,32,20)+-+s(32,16,20)-
c(24,32,20)t(32,24,20)t(32,48,28)s(40,40,20)*s(48,16,20)++-
s(40,40,28)s(32,24,20)-c(24,32,20)c(40,32,20)*+c(40,24,12)-
t(32,32,28)c(32,24,12)-s(32,40,20)s(8,8,12)++s(24,32,12)-
s(40,40,20)s(40,24,20)*c(40,40,12)+s(16,48,20)c(40,32,12)+*
s(24,32,20)s(24,24,12)s(32,16,12)++t(24,24,20)s(8,8,12)+*
t(32,32,28)c(32,24,12)s(40,24,12)+-s(32,24,20)s(24,8,12)--
s(40,16,12)c(24,24,12)+t(24,32,12)-c(40,40,20)+s(24,16,20)*
c(24,32,20)s(24,24,20)-c(32,16,12)+s(32,16,12)s(8,40,12)+*
s(32,40,28)c(40,40,20)*s(48,40,12)s(32,8,12)c(40,16,12)++-
s(24,24,28)t(32,32,20)s(32,32,28)s(32,48,20)*c(16,32,12)-+*
t(32,48,28)t(32,24,20)-c(24,40,20)s(40,24,28)-c(40,32,12)+-
s(24,40,12)t(32,32,28)t(24,48,12)+s(32,32,20)s(40,40,12)-*+
t(24,48,28)s(40,48,20)s(48,40,20)+t(48,32,12)-s(48,40,20)+*
s(40,24,12)s(24,24,20)+t(24,40,28)s(32,32,28)c(48,48,12)+**
c(32,32,28)s(24,16,20)t(48,40,12)+-t(40,40,20)s(8,32,12)+*
s(40,24,28)s(40,16,12)-c(40,24,20)s(32,8,12)-*s(32,24,20)*
t(40,40,20)s(8,24,12)+s(16,24,12)c(40,40,20)+s(40,32,12)-*
s(24,32,28)t(32,24,20)-s(32,48,20)c(32,40,20)*-s(16,48,20)+
s(24,32,12)s(40,16,20)+s(32,24,28)*s(8,48,12)s(32,24,20)+*
s(40,8,12)t(24,24,20)t(24,32,28)c(16,16,12)s(24,48,12)+-++
c(32,32,20)s(24,48,12)s(32,16,20)+*s(16,16,20)+s(32,32,28)*
s(24,16,20)c(48,32,12)c(16,40,12)+s(16,40,12)-+s(40,24,28)*
s(40,40,28)t(16,48,12)c(48,40,12)+*s(24,48,20)s(16,24,20)--
s(32,24,28)t(32,32,28)t(48,40,12)-*s(48,24,20)-s(24,32,20)*
s(32,40,20)c(24,16,12)+s(40,32,20)-s(40,16,20)+s(24,16,20)*
c(40,32,20)t(48,16,12)t(40,24,20)+c(24,32,12)-*s(24,32,12)+
s(32,40,28)s(40,32,20)-t(16,40,12)-t(48,48,12)-s(24,24,20)-
s(40,24,28)t(32,32,28)c(24,24,20)*s(24,32,20)*-s(40,32,28)*
c(24,32,20)c(24,24,12)-t(32,32,28)c(24,40,20)s(48,48,20)-*-
c(32,24,20)s(40,48,20)s(48,48,12)s(32,48,20)+*-s(24,32,28)*
s(40,40,20)s(40,48,20)t(40,16,12)s(48,24,12)+t(32,32,12)+-*
s(16,40,20)s(24,32,12)c(40,32,20)t(32,48,28)t(24,32,12)+*+-
c(16,16,12)t(24,48,20)+t(32,48,20)-c(16,48,12)t(32,56,12)+-
t(48,32,12)s(16,8,12)s(24,32,20)s(24,48,12)+t(24,24,20)*++
s(40,24,20)s(32,40,28)*c(24,32,20)s(40,32,28)*+s(40,16,12)-
t(24,48,28)s(32,40,12)s(24,16,20)+s(32,32,28)+*s(8,16,12)+
s(16,16,20)t(24,40,28)s(16,48,20)c(16,16,12)++s(32,32,28)*+
c(24,24,20)s(40,40,20)s(24,24,20)+c(40,24,20)*c(32,40,20)+*
c(24,40,20)c(40,32,20)c(32,24,20)t(16,16,12)c(32,40,20)+--*
c(24,40,20)c(40,24,20)s(32,32,28)*s(48,32,20)*t(24,32,20)+-
s(40,24,28)s(32,24,28)s(48,16,12)s(24,24,28)s(40,32,12)-+**
s(32,40,20)c(24,24,20)s(32,32,28)+t(16,24,12)-*t(24,32,28)*
t(32,48,28)t(32,48,20)s(24,16,12)+s(24,24,12)-+s(32,24,20)-
s(40,48,12)s(48,32,20)s(32,32,12)-t(32,56,12)s(32,32,28)+*+
s(40,32,20)c(48,16,12)+s(32,32,28)*s(32,24,20)*t(32,32,28)*
s(32,24,20)c(48,40,12)s(16,40,20)+s(16,16,20)-c(32,16,12)+*
c(24,40,20)c(32,32,20)c(24,48,12)-s(32,40,12)+s(40,32,28)*-
s(48,24,20)t(48,16,12)t(24,40,28)+t(16,16,12)+-s(24,24,28)-
t(16,16,12)s(48,32,20)c(32,40,12)-+t(32,40,12)+c(40,24,20)*
t(40,56,12)t(32,56,12)s(40,32,28)+s(48,48,20)+s(24,32,28)*+
s(40,32,20)t(48,40,12)s(24,32,20)+s(8,32,12)t(16,56,12)+-*
c(16,32,12)s(16,32,20)s(24,24,28)s(32,32,28)**+s(40,16,20)-
s(32,32,28)s(32,40,20)-s(24,48,12)c(24,24,20)c(40,40,12)-+*
s(32,16,12)s(24,40,12)+t(48,24,12)+s(24,16,20)-s(48,8,12)+
c(40,32,20)s(40,48,20)s(24,32,28)s(24,16,20)c(24,24,20)**+*
s(24,32,20)s(32,24,20)*t(16,16,12)-s(40,16,12)+c(16,32,12)-
s(48,24,20)s(48,40,20)s(40,32,28)t(32,32,28)t(24,48,20)+**-
c(32,32,28)c(24,40,12)-s(32,8,12)-c(16,24,12)s(40,40,20)+*
s(32,40,20)s(40,32,28)s(8,48,12)c(24,32,12)+t(24,40,28)*-*
s(16,16,12)c(24,40,20)c(48,32,12)+s(48,32,20)s(48,24,12)--+
s(48,40,20)s(32,48,20)c(32,24,12)+c(40,48,12)-c(40,32,20)*-
c(40,16,12)t(16,32,12)+t(16,24,12)+t(32,32,28)-c(16,16,12)+
c(32,40,20)c(48,48,12)t(40,24,12)+s(48,40,20)*-t(32,32,12)-
c(32,40,20)c(24,40,20)s(40,32,12)-s(24,32,28)c(24,40,20)**-
s(8,48,12)t(40,32,20)+s(48,16,12)t(32,32,28)c(48,32,12)++*
s(16,32,20)t(24,40,12)t(32,32,20)+s(40,24,28)*s(24,48,12)--
s(32,16,20)s(24,32,12)-s(16,8,12)+t(32,56,12)+s(16,16,20)*
s(24,24,28)s(40,32,28)s(32,48,20)*t(32,48,12)+s(8,40,12)+-
c(40,32,20)s(32,40,28)c(24,32,20)*t(40,48,20)+*c(24,24,12)-
c(24,24,20)t(32,32,20)s(40,48,20)+-s(8,32,12)s(24,32,20)++
s(16,40,20)s(24,40,20)s(16,32,20)s(48,40,20)+*t(32,16,12)+-
t(40,48,20)s(24,40,28)s(32,48,20)+*s(32,24,28)+t(24,40,20)*
s(32,48,20)s(48,32,20)s(32,40,28)s(16,32,20)-c(40,40,20)+*-
s(32,24,28)s(24,8,12)s(32,24,20)t(48,24,12)++s(40,40,12)-*
t(40,16,12)c(32,40,20)+s(24,40,28)*s(40,40,20)-s(48,32,20)-
s(32,24,28)c(32,32,20)t(24,48,20)-s(48,16,20)s(40,40,28)-+-
s(40,24,28)s(24,24,28)c(32,32,28)s(24,40,28)s(16,48,20)*--+
c(32,40,20)t(24,32,28)c(24,40,20)s(32,32,20)s(32,40,20)*--*
s(24,24,28)c(24,16,12)s(32,24,28)s(40,40,28)t(24,48,28)-*+*
t(24,40,28)t(24,48,28)*c(40,48,12)+t(48,24,12)c(24,32,12)+-
s(24,24,20)t(32,40,28)-c(32,40,12)t(24,32,20)s(32,24,12)-++
s(24,40,20)c(40,48,12)-t(32,40,28)c(32,24,20)-c(32,40,20)*-
t(24,48,28)t(32,32,28)*t(48,32,12)s(32,24,20)+s(24,40,28)*+
c(24,16,12)s(32,16,20)s(24,24,28)t(24,48,28)-t(24,16,12)--+
c(40,24,12)t(32,40,20)+s(32,40,28)s(40,32,20)**c(48,16,12)-
s(24,8,12)c(40,48,12)+c(32,40,12)+s(24,32,12)-s(40,24,20)-
c(16,32,12)s(32,24,12)+s(16,24,20)+t(24,48,28)c(24,40,20)*-
s(32,32,20)c(16,24,12)s(40,32,20)t(32,32,20)*+*c(32,24,12)+
s(32,24,28)t(24,40,28)c(48,48,12)s(32,48,20)+*s(24,40,12)+-
s(32,40,28)t(48,48,12)s(40,32,28)t(32,32,28)*+*s(32,24,28)*
s(24,24,20)s(32,24,28)t(16,16,12)-s(40,24,28)t(24,32,20)--*
t(32,40,20)s(24,32,20)s(32,32,20)t(16,40,12)-c(48,24,12)+*+
c(40,24,20)c(24,32,12)+s(40,40,12)-s(24,32,28)s(24,40,28)**
s(24,32,28)c(16,16,12)t(40,40,20)+t(48,16,12)+*c(40,24,20)+
c(32,24,20)c(32,40,20)t(32,48,28)++t(40,24,20)-s(48,48,12)-
c(16,48,12)c(32,32,12)s(24,40,12)+t(40,32,20)++s(8,48,12)-
s(40,24,28)s(48,32,20)s(40,40,28)s(24,8,12)s(32,16,12)++**
c(24,24,20)t(32,48,28)+s(40,40,20)*s(32,32,28)*t(40,24,20)+
t(40,16,12)s(40,48,20)+s(40,32,28)c(32,24,20)*s(24,32,28)+*
c(32,40,20)t(32,32,12)-s(32,32,28)*t(40,48,20)-s(48,40,12)-
s(8,48,12)s(24,32,12)s(32,16,12)t(40,40,20)+++t(32,40,20)-
s(40,24,28)s(32,40,28)c(24,40,20)s(16,40,20)s(24,48,20)-++-
c(32,24,20)c(32,24,20)s(32,48,20)-c(32,32,20)*-c(40,32,20)+
c(40,24,20)c(32,32,12)t(32,24,20)+*t(32,40,28)+s(40,40,20)*
c(40,40,20)c(32,24,20)*s(24,48,20)c(16,16,12)+s(24,40,12)-+
c(32,24,20)s(24,16,20)-c(24,40,12)t(24,48,28)s(24,24,28)-+-
c(16,32,12)s(40,48,12)+c(24,40,20)*s(32,40,12)+c(32,32,20)*
s(24,24,20)c(24,24,12)s(48,40,20)+t(40,32,20)+s(32,24,20)+*
c(32,40,12)s(24,32,28)s(32,16,20)*+c(48,24,12)-s(24,24,28)*
c(32,32,28)c(40,32,12)s(40,48,12)c(40,24,12)++-c(48,48,12)+
t(40,56,12)t(48,16,12)t(32,32,28)s(40,32,28)*t(24,24,20)-++
t(32,32,20)c(32,16,12)t(32,24,12)c(32,32,12)++c(40,32,20)**
c(40,40,20)s(24,40,28)+s(48,48,12)s(16,48,20)s(24,32,20)-+*
s(48,48,20)s(8,40,12)+s(40,40,28)s(24,48,20)-c(32,40,12)-*
s(8,16,12)t(40,48,20)+s(32,32,20)t(40,40,20)+s(40,48,20)-+
t(16,16,12)t(32,32,28)s(24,32,20)*s(40,32,28)*+t(24,48,12)+
s(32,32,20)s(24,24,28)s(32,48,12)t(40,48,20)+-*c(40,32,20)*
c(16,16,12)s(24,40,20)s(16,40,20)t(16,32,12)-*s(32,16,20)-+
s(24,32,20)s(40,16,20)+s(40,40,28)c(40,32,20)s(24,32,20)---
s(16,40,12)t(24,32,28)c(32,40,20)s(16,32,12)-s(48,8,12)+*+
s(32,48,20)c(32,48,12)-c(16,16,12)+t(24,32,20)+s(32,40,28)*
s(48,48,20)c(24,32,12)c(32,16,12)+c(24,32,20)t(40,48,20)++*
s(48,16,20)s(32,32,20)c(40,32,20)s(40,16,12)-c(32,16,12)+*-
t(24,32,28)s(40,48,12)s(48,8,12)+s(16,24,20)+*c(24,24,20)*
s(40,40,20)s(24,48,12)s(48,40,20)+s(32,48,20)-s(32,24,28)+*
s(32,32,20)s(40,24,20)s(32,16,20)s(40,24,20)*-s(40,16,20)++
s(16,48,20)t(32,40,12)+s(48,40,12)+s(24,40,12)-c(40,40,12)-
s(24,32,28)c(32,24,12)-t(16,16,12)-s(24,24,28)s(48,16,20)-*
s(32,40,28)c(48,32,12)s(16,32,20)+s(8,48,12)+*s(24,8,12)+
s(32,24,20)s(24,40,28)s(32,24,28)c(32,32,20)**s(16,8,12)+*
s(8,40,12)c(32,40,20)t(40,32,20)*c(24,48,12)++t(32,32,28)+
t(24,48,20)c(32,24,12)+t(24,24,12)-t(32,40,12)-s(32,16,20)-
s(40,48,20)t(40,32,20)s(32,48,20)s(24,48,20)c(16,32,12)-*--
c(32,16,12)c(32,40,20)t(32,40,28)s(16,40,20)s(32,48,12)--*+
s(8,16,12)s(16,24,20)c(32,32,28)*t(32,56,12)+s(32,48,12)-+
s(32,24,28)s(40,16,20)s(24,32,28)+s(32,32,20)s(40,40,28)*--
s(8,24,12)t(32,32,28)+c(40,40,20)c(40,48,12)t(40,24,20)+**
s(16,32,20)t(48,56,12)t(32,24,20)t(24,16,12)-+s(24,48,20)+*
c(32,32,20)s(32,32,12)s(32,16,20)+s(48,8,12)-s(40,40,20)--
t(32,32,28)t(24,40,12)-s(24,32,28)s(16,48,12)-*s(40,48,12)-
s(48,40,20)s(32,32,20)s(24,32,20)s(48,40,12)+s(40,24,28)**-
s(40,24,28)c(16,16,12)s(16,32,20)+s(24,32,20)++t(24,40,28)-
t(40,40,20)t(16,48,12)+s(32,40,20)+s(16,32,20)s(24,40,20)*-
t(32,40,28)s(32,32,20)s(8,32,12)t(24,48,28)t(32,48,20)*+-*
c(32,24,20)s(16,40,20)c(24,32,12)-s(24,32,12)+-s(24,24,20)*
t(40,16,12)s(32,32,28)s(40,16,20)-s(40,40,28)*+s(32,48,20)*
s(24,24,28)t(32,40,28)+s(48,40,20)c(40,24,20)*t(32,48,12)+-
t(32,32,12)c(16,16,12)+c(40,40,20)c(40,24,20)*s(40,40,20)*-
c(32,40,20)s(32,16,20)s(40,40,12)s(24,48,20)s(24,8,12)+++*
s(32,40,28)c(40,40,20)t(24,40,20)-+s(24,48,20)c(32,24,20)+*
s(48,48,20)s(16,40,20)s(40,32,20)s(32,16,12)--s(48,40,20)+*
c(40,32,20)t(32,40,20)s(48,32,20)s(40,32,20)*t(40,48,20)++*
s(40,48,20)t(24,48,28)c(32,32,20)s(32,24,20)--c(32,32,20)--
c(24,32,20)s(16,16,20)-s(48,16,20)c(40,32,20)s(24,8,12)+*-
s(32,32,28)s(24,48,20)*s(48,32,12)+c(32,40,12)+t(24,40,20)*
c(32,24,20)c(16,24,12)-s(24,16,12)+c(32,48,12)+c(32,48,12)-
s(40,40,20)t(32,32,28)s(40,48,20)s(16,24,12)+c(24,32,12)+**
s(24,8,12)c(48,24,12)t(24,32,12)++c(40,24,20)*s(32,40,12)-
s(24,24,20)c(40,40,20)s(32,32,28)s(24,40,20)**+c(40,24,20)*
s(40,40,20)s(40,40,28)t(16,56,12)+s(48,32,20)-t(16,32,12)+-
s(32,24,20)c(40,24,20)t(16,56,12)+s(32,16,20)**s(24,32,28)*
c(24,40,20)c(48,40,12)+s(24,8,12)+s(16,32,12)-t(40,24,20)-
t(32,32,28)s(32,40,28)t(24,24,20)+t(40,48,20)-t(24,48,20)-+
t(32,48,28)c(16,40,12)+s(40,48,20)*c(32,32,28)*s(48,40,12)+
t(32,40,20)t(32,40,28)s(40,40,20)**s(24,24,20)s(24,32,20)*+
c(40,40,20)c(40,32,20)*s(40,48,20)s(40,32,28)c(48,48,12)---
s(32,40,28)s(40,40,28)c(40,16,12)t(40,56,12)+s(24,40,12)+*-
s(16,48,12)c(32,32,20)s(16,16,20)-t(48,48,12)++s(16,24,12)+
s(24,40,28)c(40,40,20)*c(40,16,12)c(48,40,12)+-t(32,40,28)*
s(40,24,28)t(48,24,12)c(32,16,12)+s(40,24,12)s(24,16,12)+*-
s(16,24,20)s(40,24,20)c(16,40,12)c(48,16,12)+s(40,32,28)*+-
t(32,24,12)s(48,40,12)+t(16,48,12)+s(32,32,20)c(40,24,20)*-
t(32,48,20)t(32,24,12)+s(40,32,28)s(48,24,20)*-t(16,56,12)+
s(16,40,20)t(24,48,28)*t(32,32,20)s(48,24,20)+c(24,24,12)--
c(24,32,20)s(40,40,28)c(40,32,20)*s(8,8,12)+*s(40,40,20)*
s(32,24,28)s(48,32,20)c(24,24,20)c(24,40,20)*--s(32,16,12)-
c(32,40,20)s(40,24,28)+c(24,32,20)*s(48,24,20)+t(24,24,20)-
s(32,40,28)c(24,32,20)s(40,16,20)+t(16,24,12)-s(24,16,20)*-
s(24,24,12)c(32,24,20)s(32,40,20)t(32,24,12)+*s(8,40,12)++
s(24,40,20)t(32,48,28)t(32,48,28)t(32,56,12)-s(40,16,20)+**
t(32,56,12)t(32,40,20)c(40,24,20)+s(24,32,20)*s(40,16,20)++
c(24,32,20)s(32,24,12)-c(40,24,20)t(24,32,12)--s(32,32,20)-
c(32,32,20)s(40,8,12)c(24,48,12)+s(48,8,12)+c(32,32,28)*-
t(32,40,20)c(32,24,12)-s(16,40,20)+c(48,40,12)t(24,32,20)+*
c(24,24,20)c(32,32,28)s(8,8,12)t(24,48,20)+*-s(32,24,20)*
s(32,40,28)s(40,32,28)c(32,32,28)t(24,40,20)---s(48,32,12)-
s(24,32,20)c(32,32,20)s(24,48,12)-t(32,24,12)-+s(40,16,20)-
c(32,32,20)s(16,16,12)c(40,32,20)c(32,24,12)s(48,24,20)+*+-
s(40,32,20)s(24,32,28)s(48,16,20)t(16,24,12)+-s(32,48,12)--
c(40,32,12)t(24,40,20)+t(24,16,12)+s(48,32,20)s(24,16,12)+-
s(40,24,28)t(24,32,28)s(32,40,20)--c(40,24,20)s(32,24,12)--
s(24,32,28)t(24,40,28)c(48,32,12)+s(40,32,28)*-s(24,24,12)-
c(32,40,12)c(40,32,20)t(32,24,12)t(32,48,12)+t(24,48,20)+*+
c(32,32,28)c(48,48,12)-c(40,24,20)s(40,32,28)*s(32,16,12)-*
c(48,32,12)c(24,32,12)+s(32,16,20)c(24,24,20)c(40,24,20)**+
s(8,16,12)t(32,32,20)+t(40,24,12)c(24,40,20)s(48,24,20)-++
c(40,40,20)s(32,24,20)-t(40,24,20)-s(16,16,20)c(32,40,12)+-
t(24,48,28)s(32,40,12)-t(24,48,12)t(32,48,20)+t(48,24,12)+-
s(40,24,20)c(24,32,20)-t(24,32,28)+s(40,16,20)-t(40,40,12)-
c(24,24,20)s(24,32,28)s(40,24,20)s(40,40,12)--*t(32,40,20)-
s(32,24,28)s(16,40,20)c(48,32,12)s(16,24,20)+c(24,24,20)+*-
t(16,48,12)t(48,24,12)+s(32,16,20)c(40,40,20)+s(32,40,20)*+
s(16,40,20)s(24,16,20)s(8,16,12)s(48,16,20)+-+c(24,24,20)*
c(40,40,20)t(24,40,28)s(8,48,12)c(24,48,12)+t(24,16,12)++*
s(48,32,20)s(48,40,20)+t(32,40,12)s(48,40,20)+*t(40,56,12)+
c(32,32,28)s(32,48,20)c(32,40,20)t(24,40,12)-+-s(40,32,20)-
s(32,40,12)s(48,16,20)+c(24,32,20)s(32,40,20)*-t(48,24,12)-
t(24,40,20)s(24,40,20)s(24,24,20)+t(32,48,28)*s(16,32,12)+*
s(24,32,28)t(24,40,28)*c(32,32,12)+c(40,32,20)t(40,40,20)--
s(24,40,28)s(40,48,20)s(16,32,20)s(24,40,12)-+*c(24,40,20)*
c(32,24,12)s(40,40,20)s(32,24,20)s(40,16,20)*-+t(40,32,12)-
c(16,16,12)t(24,40,28)t(40,40,20)s(32,40,20)*-t(16,24,12)-+
s(8,40,12)s(40,32,12)t(32,48,12)++c(48,24,12)+s(32,32,12)-
t(32,24,20)t(24,24,20)s(16,24,20)*c(40,16,12)++s(16,32,12)+
s(32,32,28)s(8,48,12)t(24,40,20)+-c(24,40,20)t(40,32,20)+*
s(16,24,20)s(8,16,12)c(32,16,12)++s(32,24,20)s(32,16,20)**
s(32,48,20)s(40,40,28)*s(40,48,20)*t(40,48,20)s(16,24,20)+*
t(40,48,20)s(16,16,12)s(40,40,20)++t(40,48,12)-t(24,48,20)-
s(24,24,28)s(16,40,20)s(40,16,12)+c(24,16,12)+*c(16,40,12)+
s(40,24,12)s(48,48,20)+s(40,48,20)*c(24,32,20)-s(48,40,12)+
s(40,40,20)c(24,32,20)c(40,24,20)-s(40,32,28)-+t(32,32,28)*
c(24,24,20)t(24,32,12)-s(32,32,28)s(16,40,12)-t(32,32,28)**
c(32,32,20)s(40,24,28)*c(24,32,12)s(32,16,20)+s(48,16,12)+*
c(16,40,12)s(40,32,12)+s(32,24,28)c(48,24,12)c(24,24,12)+*-
s(24,24,20)s(48,24,20)+s(48,16,12)-t(32,24,20)-s(24,32,28)+
s(32,32,12)c(32,32,20)s(24,32,20)t(32,16,12)-*c(24,16,12)-+
t(40,48,20)s(24,16,20)+s(32,24,20)+t(32,48,28)c(24,32,12)-*
c(32,24,20)t(32,16,12)s(24,40,28)t(40,40,20)c(16,48,12)+*+*
s(16,16,20)c(16,16,12)t(32,24,12)t(40,40,20)c(16,24,12)++++
s(48,40,20)s(24,24,28)s(32,32,20)s(32,48,20)--+c(40,32,20)*
c(24,40,20)s(8,40,12)-s(48,32,12)t(40,32,20)+s(48,40,20)*+
c(40,32,20)s(8,48,12)t(32,48,28)s(24,32,28)*s(24,24,12)+++
s(16,24,20)s(32,24,12)-s(24,40,12)+s(16,32,20)s(32,32,28)**
t(24,40,20)t(24,32,28)s(48,24,20)c(32,32,20)*-+c(40,40,12)-
c(40,40,20)c(40,32,20)s(48,32,20)*-s(24,40,28)s(24,24,28)*-
c(32,40,20)s(32,48,12)-s(16,16,20)-s(40,40,20)*s(32,16,12)+
s(40,40,28)s(40,48,12)-t(40,40,12)+c(32,40,20)-c(40,48,12)+
s(32,24,28)t(16,56,12)t(16,24,12)+c(40,24,12)+t(48,40,12)++
c(24,24,20)c(40,40,20)s(40,32,12)--s(16,24,12)c(40,16,12)+*
c(40,32,20)s(16,32,20)-c(24,24,12)c(32,32,12)++s(24,32,20)*
t(24,40,28)c(32,32,28)c(32,32,12)-s(24,24,28)*c(16,40,12)+*
c(32,24,20)s(8,16,12)t(32,48,12)+s(40,40,28)s(48,48,20)-+*
t(48,24,12)s(8,48,12)c(32,16,12)+s(8,16,12)t(16,40,12)+++
t(32,32,28)c(40,32,20)*t(40,32,20)s(24,8,12)++c(40,32,20)*
s(32,32,28)c(24,32,20)t(24,40,28)*s(24,32,20)*-s(48,24,20)*
c(24,32,12)s(48,32,12)s(40,16,12)++c(32,32,20)c(40,32,12)-*
s(32,40,28)s(48,48,20)-c(40,32,20)*c(32,40,20)t(24,32,20)+*
t(32,32,28)s(32,32,12)s(32,8,12)+s(16,32,12)t(40,16,12)+--
s(24,40,28)c(40,16,12)t(24,32,28)+c(24,24,20)*s(40,16,12)+-
s(24,24,28)s(32,32,28)s(24,32,20)-c(40,40,20)*s(40,32,20)+*
s(40,32,20)c(40,32,20)s(24,40,12)c(48,32,12)+s(40,48,20)+**
s(48,48,20)s(40,32,28)c(24,32,20)*s(48,16,20)-+c(24,32,20)*
s(24,32,20)t(32,40,12)-s(32,24,20)s(32,32,20)*c(16,40,12)-+
t(32,40,28)c(40,40,12)-c(40,40,20)s(32,24,20)-t(40,40,12)--
c(24,24,20)s(32,24,20)s(48,24,20)s(32,16,20)c(32,32,28)*+**
t(48,16,12)t(32,40,20)t(32,16,12)s(48,48,20)s(24,40,12)++*+
s(40,48,20)s(32,32,12)s(32,16,12)++s(40,24,12)-s(24,40,28)*
s(40,40,20)t(32,32,20)s(40,40,28)s(24,40,20)*c(40,16,12)+*-
t(32,48,28)s(40,40,28)s(8,48,12)+s(32,32,20)s(40,48,20)+**
c(16,24,12)s(40,40,28)s(32,40,28)t(32,56,12)s(24,24,20)+**+
s(32,24,20)t(40,40,20)s(24,24,20)-t(32,40,12)++t(40,24,12)-
s(32,32,28)s(32,24,20)s(48,8,12)+c(40,16,12)-*t(24,16,12)+
s(16,16,12)s(48,8,12)+s(32,32,28)c(48,16,12)-s(24,48,20)-+
s(24,40,20)s(24,24,20)+c(40,24,20)c(40,32,12)-t(40,32,20)--
c(32,16,12)s(24,40,20)s(32,40,20)+c(40,32,20)t(24,32,12)--+
s(48,32,20)t(32,24,20)s(24,32,28)*s(40,24,20)+s(40,40,20)-+
s(40,32,28)c(48,48,12)-t(40,24,20)t(40,48,20)+*c(32,48,12)-
s(40,24,28)t(24,40,28)s(32,32,20)c(16,24,12)-+s(40,32,20)*-
c(16,16,12)t(48,48,12)+t(40,40,20)t(32,24,20)++s(32,8,12)+
s(32,24,28)s(24,16,20)s(32,40,28)c(32,32,20)*+t(24,48,28)+*
s(40,24,20)s(48,16,20)s(16,24,20)+*s(40,40,12)+t(24,32,28)*
c(16,48,12)s(40,24,28)t(24,48,12)+s(24,16,20)-s(40,8,12)-+
s(32,32,28)t(24,32,12)-c(40,40,20)*s(40,32,20)s(40,24,20)+*
s(24,40,28)s(24,40,12)s(24,24,28)s(8,32,12)-t(32,32,28)*+*
s(16,40,20)s(24,24,28)s(16,32,20)s(32,32,28)*s(48,32,12)+*-
s(40,16,12)s(40,24,28)c(40,24,12)-+s(16,32,20)s(40,32,12)+-
s(24,40,20)s(32,24,12)-s(16,32,20)c(40,40,20)+s(40,24,20)-*
s(16,48,20)s(24,32,20)s(40,24,28)s(24,24,20)*-t(40,32,12)+-
t(40,24,20)t(32,40,20)+s(40,32,20)t(24,40,28)+c(48,48,12)-+
s(24,40,28)s(48,24,20)t(32,32,12)+s(40,40,28)*s(40,24,20)*+
s(32,40,28)t(24,24,20)s(48,40,12)+s(32,48,20)+s(40,24,28)-*
s(40,24,20)c(32,24,20)*t(40,24,12)s(24,48,20)+-c(32,24,12)+
t(32,40,28)s(40,32,12)s(40,32,28)s(24,48,20)-t(32,40,20)-+-
s(24,40,28)s(16,8,12)+c(16,40,12)t(40,24,12)+*s(24,24,12)+
s(32,40,20)t(32,24,12)-c(24,32,20)*s(16,16,12)s(40,32,20)++
t(32,32,28)s(32,32,20)s(40,40,20)s(40,48,20)+*s(8,24,12)+-
s(32,32,20)t(24,32,28)s(40,24,28)*+t(40,32,20)+c(24,40,20)*
s(8,32,12)t(32,24,12)s(40,24,12)++s(32,8,12)s(24,48,20)+-
t(24,56,12)c(48,32,12)t(32,16,12)++s(32,48,20)+c(40,40,20)*
c(24,32,20)s(32,24,20)c(48,16,12)t(24,16,12)+t(24,40,28)+**
s(48,24,12)s(48,8,12)+s(24,48,20)+s(8,48,12)c(32,48,12)+*
s(40,16,20)s(24,16,20)-s(32,32,28)t(32,32,12)-t(40,40,20)*-
s(8,32,12)s(32,16,12)c(40,48,12)+t(24,24,20)+c(24,40,20)-+
c(24,40,20)t(24,16,12)+s(8,32,12)-s(24,16,20)s(16,16,20)*+
t(32,40,28)t(32,40,28)t(24,24,12)+s(48,48,20)-c(40,24,12)-*
s(24,40,28)s(8,48,12)s(40,24,20)c(40,40,20)*+-s(24,48,20)+
s(24,16,20)c(40,48,12)+c(16,40,12)+s(24,16,20)-c(32,32,20)*
s(40,24,28)t(24,32,12)t(40,40,20)+-s(8,48,12)c(24,40,20)+-
t(16,32,12)c(32,40,20)t(32,32,28)s(48,24,20)-*+s(8,32,12)-
s(40,32,28)t(24,32,28)*s(40,24,28)s(48,16,20)-t(24,40,28)-+
t(32,40,12)s(16,24,20)+c(32,24,20)*c(24,48,12)+s(40,16,20)-
c(32,24,20)s(40,8,12)c(48,32,12)+*c(32,16,12)+s(32,24,20)*
s(32,24,28)c(16,24,12)t(48,24,12)++s(48,48,20)-s(40,8,12)-
s(40,40,12)s(40,24,28)s(24,32,28)-+c(40,24,12)-c(40,40,20)+
s(24,40,28)s(40,32,12)-s(32,32,20)s(32,24,28)c(40,16,12)-*-
c(40,24,20)c(40,24,20)c(40,32,20)c(48,48,12)-s(32,32,12)-*-
t(32,32,28)s(48,32,12)-t(32,32,28)c(40,40,20)-s(32,24,20)+*
t(32,40,12)s(32,8,12)+c(40,32,20)c(40,16,12)-+t(32,24,20)-
s(40,16,12)s(24,24,20)+s(32,24,20)s(40,40,28)*+t(40,48,12)+
s(16,24,20)s(16,24,20)s(40,24,28)s(40,40,28)*+c(32,24,20)-*
s(16,24,12)t(32,16,12)t(24,48,20)c(16,40,12)+++t(24,40,28)*
s(24,32,20)t(16,56,12)+t(40,16,12)s(32,32,12)+-c(40,48,12)+
s(40,16,12)s(16,32,12)+s(48,24,20)s(32,24,20)s(16,48,20)+*-
c(32,32,20)t(40,40,12)-s(16,32,20)*c(48,16,12)t(32,16,12)++
c(48,40,12)s(40,32,20)+s(24,32,20)s(24,48,20)s(8,48,12)-+*
s(24,16,20)s(16,32,20)-s(24,32,28)+s(32,16,20)*c(40,32,20)+
s(40,32,28)c(24,48,12)s(48,40,20)s(40,8,12)t(32,48,12)+-+*
t(24,32,28)s(16,24,20)*t(32,32,28)c(32,32,20)*+s(40,40,20)+
s(40,40,12)t(24,40,28)t(40,24,12)++t(32,32,20)s(16,32,12)-*
c(32,40,12)s(40,48,20)+t(40,32,12)-s(8,48,12)+s(8,48,12)-
s(40,32,28)t(32,40,20)s(24,32,20)t(48,40,12)+s(8,24,12)-+*
t(32,32,28)t(24,24,20)s(32,32,28)s(48,24,12)-*-s(16,32,20)-
t(40,48,20)s(16,16,20)+c(32,40,20)-s(48,40,20)+t(32,32,20)-
s(32,16,20)s(40,40,28)+s(8,40,12)t(24,48,28)+s(40,32,20)+*
s(24,48,20)t(16,24,12)+t(16,32,12)s(48,24,12)++t(32,56,12)-
t(40,48,12)c(24,24,20)s(32,40,12)-c(48,16,12)++s(32,24,28)*
s(40,24,28)s(16,16,20)-c(24,40,20)s(24,48,20)s(40,32,28)-+-
t(32,56,12)t(24,32,12)c(40,48,12)+c(40,40,20)*t(24,24,12)++
t(24,32,28)c(40,32,20)s(32,24,28)**s(32,24,20)+s(24,24,20)*
s(40,24,28)s(24,32,20)s(24,48,20)s(40,32,12)++s(40,16,20)-*
c(24,40,20)t(32,48,20)c(32,40,20)s(48,40,12)-*s(16,24,20)+-
t(48,32,12)t(32,24,20)c(40,40,20)s(48,24,20)s(48,8,12)+--+
t(32,32,28)c(32,32,12)s(40,24,28)c(24,24,12)-s(32,32,28)*+*
s(32,24,28)s(40,32,20)s(24,16,20)-t(40,40,20)t(40,48,12)-+-
c(24,24,12)s(40,32,28)c(40,40,20)*+s(40,16,20)-t(32,40,20)*
s(40,32,28)s(40,16,12)-s(40,16,12)s(24,32,12)++s(32,16,20)+
c(32,24,20)s(48,40,12)t(24,40,28)+t(24,32,28)*s(32,24,28)*-
c(24,48,12)t(32,40,28)s(40,40,20)*+c(32,24,12)-s(32,24,20)-
c(24,32,20)s(32,40,20)*c(40,40,12)c(32,24,12)++s(32,48,20)-
s(24,32,28)s(24,24,12)c(16,24,12)+s(48,24,20)+s(40,32,20)*+
s(32,32,20)c(24,48,12)-s(40,40,28)t(32,32,12)s(48,48,12)+-+
c(24,40,20)s(24,48,20)s(16,32,12)+t(16,32,12)t(48,16,12)++*
c(32,40,20)s(32,32,20)t(32,40,28)s(48,24,12)+*s(16,24,20)+*
t(24,40,28)t(24,24,12)-s(40,40,28)s(40,24,28)+*t(48,16,12)+
s(40,32,28)s(48,48,20)s(48,24,20)+t(32,48,28)s(48,32,20)+**
s(32,24,28)s(40,32,28)c(32,32,20)**c(32,32,28)s(32,16,12)-*
s(32,48,20)s(16,48,20)+s(24,24,28)-s(16,40,20)t(40,48,20)+*
s(24,32,12)s(48,48,20)+c(24,40,20)*s(40,32,28)t(32,16,12)-*
c(24,32,20)c(40,40,20)-s(16,40,12)+s(16,16,20)c(32,40,20)--
t(24,32,28)s(32,32,28)s(8,16,12)+s(40,16,12)-s(24,32,12)--
s(48,8,12)s(48,40,20)s(32,32,20)s(40,24,28)s(32,40,28)-+-+
s(24,48,20)c(32,32,28)*t(16,56,12)t(24,48,12)++s(16,48,20)*
s(8,32,12)s(24,40,12)s(48,40,20)+s(32,48,20)*+s(40,40,28)*
s(32,24,20)c(40,32,12)s(24,16,12)t(40,24,20)s(16,24,12)+++*
c(32,40,20)s(40,32,12)t(24,32,20)c(24,48,12)-+*s(40,32,20)*
s(24,24,28)t(24,32,28)s(8,32,12)+s(24,16,20)*-s(48,48,20)-
t(40,24,20)c(24,24,20)t(24,40,28)c(48,24,12)+--t(32,16,12)+
s(32,32,28)s(16,48,12)-s(48,40,12)-s(40,16,12)-c(40,32,20)*
s(24,24,28)s(40,32,20)+s(48,40,20)-s(16,24,20)t(16,24,12)-*
s(40,32,28)s(32,40,28)-s(40,32,20)s(24,40,28)c(24,40,12)--+
s(8,8,12)c(48,32,12)s(32,32,12)+s(32,32,28)*+s(32,32,20)*
t(40,24,20)s(8,32,12)t(32,32,12)t(32,48,12)++t(24,32,28)*+
c(16,48,12)c(24,32,20)s(32,32,28)*+s(48,24,12)s(16,48,12)+-
t(32,40,28)c(48,32,12)c(48,40,12)+c(48,16,12)--t(32,24,20)-
s(40,24,20)s(24,32,28)c(16,48,12)-s(24,40,12)-s(8,24,12)-*
s(32,8,12)s(48,16,20)s(24,24,20)-+s(32,24,28)-t(32,48,28)+
s(40,16,12)s(32,24,28)s(8,8,12)c(24,40,20)+*+t(24,24,12)-
t(40,24,20)s(24,32,20)t(24,40,20)c(40,40,12)-s(40,48,20)+*-
s(48,32,20)s(48,48,20)+c(16,40,12)s(48,24,20)+-c(16,48,12)+
s(40,40,20)t(32,40,20)s(40,40,28)c(24,40,20)**-s(40,16,12)+
t(24,40,28)t(32,32,28)-c(40,24,20)+t(40,48,20)s(32,16,12)+*
t(24,32,28)t(32,32,28)t(40,32,20)s(40,40,12)+-*s(16,16,20)+
t(24,32,28)c(32,40,12)c(48,32,12)s(32,16,20)+s(40,16,20)*++
c(32,32,28)s(32,48,20)t(32,40,28)c(32,32,20)*t(32,48,20)--*
s(40,48,20)s(24,32,20)c(32,48,12)+s(16,40,20)s(40,24,12)+*-
s(24,40,20)t(24,32,28)c(24,40,20)**s(24,32,28)s(24,48,20)**
t(32,40,28)t(24,32,28)*s(32,32,20)c(40,24,12)-t(40,32,12)+*
s(32,48,20)t(16,48,12)s(40,16,12)s(40,40,20)+t(40,32,12)-+-
c(32,40,20)t(40,40,12)s(32,32,28)s(24,48,12)s(16,32,20)+*+*
s(40,32,28)c(24,48,12)-s(40,40,28)*s(16,16,20)-s(48,48,20)+
c(24,40,20)t(40,40,20)s(40,48,20)*t(40,48,20)++t(32,32,28)*
s(48,32,12)t(16,24,12)c(40,32,20)+t(48,32,12)-t(32,40,28)*+
s(24,24,20)t(32,40,20)c(16,40,12)-t(32,56,12)s(16,32,20)++*
s(40,40,28)c(16,40,12)s(48,40,12)+s(32,32,12)+*t(32,40,28)*
c(24,40,20)s(32,40,20)*t(32,40,20)t(32,24,20)c(40,32,12)++*
t(48,32,12)t(40,40,20)+t(32,48,12)s(48,48,20)++c(40,24,20)*
s(32,32,28)c(40,40,20)*t(48,48,12)s(32,48,20)s(32,32,28)*++
s(32,32,28)t(32,32,20)c(40,40,20)t(24,48,20)+*-s(40,40,28)*
s(40,24,28)t(32,32,12)c(48,24,12)+c(24,48,12)+s(32,24,12)-*
s(24,40,12)c(24,40,20)t(24,32,28)c(40,24,12)+*t(32,48,28)*+
s(32,24,20)s(40,24,28)s(48,16,20)s(40,16,12)--*t(40,16,12)-
s(32,40,28)c(24,16,12)c(48,16,12)+c(24,32,12)-c(16,24,12)-+
c(48,24,12)s(48,16,12)+c(40,24,20)s(40,48,20)-s(32,32,20)*-
s(24,32,28)t(24,40,28)*t(16,48,12)-c(16,32,12)s(48,40,12)+-
s(32,40,28)s(32,24,28)s(48,48,20)s(16,8,12)+s(48,40,12)--*
c(24,24,20)s(24,16,20)-s(40,24,28)+s(16,40,20)-t(24,48,28)+
c(40,32,20)t(40,40,12)s(24,16,20)+s(40,48,12)--t(40,24,12)-
s(16,40,20)c(32,32,20)s(32,24,28)*t(32,32,12)t(48,16,12)++-
s(32,48,20)t(32,32,12)s(48,40,12)s(40,16,20)+c(40,16,12)-+-
c(40,40,20)t(24,40,12)-c(40,24,20)t(32,24,12)-t(24,24,20)--
s(40,8,12)s(32,40,12)+s(40,24,20)+c(32,48,12)+c(40,24,20)*
c(40,40,20)s(40,24,20)t(32,40,28)+*t(24,32,12)-s(24,40,28)+
c(40,32,12)s(32,24,20)s(32,40,20)-c(24,24,12)t(24,40,28)+++
t(24,32,28)s(48,24,12)+c(32,32,20)s(32,40,20)*t(24,16,12)+*
s(48,48,20)t(24,32,28)s(32,40,28)s(48,24,12)-t(32,48,20)-*+
c(40,32,20)t(16,32,12)s(40,16,20)+*t(24,48,12)t(48,32,12)+-
s(40,8,12)t(32,48,28)+s(40,8,12)-s(32,40,28)*s(24,40,12)-
s(40,24,28)c(40,16,12)-s(48,16,20)s(24,40,20)t(24,32,20)*+-
t(32,24,20)t(40,32,20)s(48,32,20)*+c(32,32,12)t(40,24,20)+*
s(48,24,20)c(48,16,12)t(32,32,28)t(40,32,12)c(32,16,12)+*+*
t(40,48,12)s(24,32,20)t(32,24,20)s(40,40,28)+s(48,16,20)+*+
c(32,32,28)c(32,40,20)s(40,24,28)s(24,48,20)-c(16,32,12)+*-
t(32,32,28)c(24,40,20)t(24,40,12)-s(48,48,12)+c(16,40,12)+*
s(40,48,20)t(24,48,20)t(32,40,20)+s(16,40,20)--s(24,40,28)+
s(24,40,28)c(24,32,20)+s(16,40,20)t(32,32,28)c(40,32,20)*-*
s(48,32,12)s(32,8,12)t(32,32,28)s(16,32,20)*++s(40,32,28)*
c(32,24,20)c(16,32,12)s(40,48,12)+s(24,16,12)+-t(24,32,28)-
s(24,48,12)t(32,40,20)s(40,32,28)s(40,40,28)*t(32,32,28)**+
t(24,32,12)s(24,16,20)t(32,32,28)s(16,24,20)t(32,32,20)---+
s(32,8,12)t(48,48,12)+s(24,40,20)+t(16,32,12)-s(32,32,20)*
s(16,24,20)t(40,24,20)+t(16,32,12)-t(24,32,28)s(48,32,20)+*
s(32,16,20)c(24,24,20)*c(48,16,12)+t(32,48,12)t(32,32,28)+*
t(32,48,20)s(24,32,20)s(24,48,12)t(32,32,20)+*+c(24,32,20)*
c(32,24,20)c(16,40,12)+s(40,32,28)c(24,32,20)+*t(40,56,12)+
s(40,32,28)c(24,16,12)-c(48,24,12)-t(48,24,12)s(48,48,20)+*
t(32,40,28)c(24,32,20)s(40,16,20)+*c(24,24,20)*t(40,40,12)+
s(24,32,28)s(48,16,20)s(32,24,28)s(16,24,20)s(32,32,12)-*+*
s(16,40,20)t(48,56,12)s(24,24,12)t(24,32,20)++t(24,32,12)-+
s(32,40,28)s(40,24,20)t(48,56,12)c(32,32,20)++c(24,24,20)-+
s(32,32,28)s(16,32,20)s(40,40,20)-c(40,32,20)s(40,24,12)---
t(40,56,12)t(32,32,12)+s(8,24,12)c(24,32,20)+s(40,24,12)-+
c(48,40,12)s(16,32,12)t(32,48,20)+s(24,16,20)+t(24,40,20)*+
c(40,24,12)t(16,32,12)+s(24,24,20)c(24,48,12)++c(24,32,20)-
s(24,24,28)t(48,40,12)c(24,24,20)s(32,48,20)-+t(32,24,20)*-
t(16,32,12)s(40,24,20)s(40,8,12)+s(8,32,12)s(40,32,28)+*+
s(16,40,12)t(32,32,20)s(32,24,28)s(40,24,20)t(48,40,12)+*++
s(32,40,20)s(24,40,12)-s(48,8,12)+s(24,32,28)s(32,40,28)**
c(32,32,12)s(24,40,20)t(32,40,20)t(40,24,12)+-+s(32,16,20)-
s(32,8,12)s(24,32,28)s(32,32,28)c(40,32,20)**+t(24,32,12)-
s(32,40,20)c(32,40,20)t(24,32,12)-c(24,32,12)s(40,48,20)+**
s(48,48,20)s(48,24,12)+s(32,24,20)c(40,24,20)+c(48,48,12)+*
s(32,32,28)s(40,40,28)*t(40,24,12)-s(16,24,20)s(32,24,28)*-
c(48,16,12)s(16,24,20)s(24,40,20)+t(40,24,20)-s(24,48,12)-+
s(40,32,28)s(32,48,12)c(24,24,20)+s(16,32,12)-s(8,24,12)+*
t(24,24,20)t(40,48,20)t(32,40,28)*+t(32,32,20)t(40,48,12)+-
s(32,32,28)c(32,32,28)s(48,16,20)-*t(40,48,12)s(40,16,12)+-
s(24,32,28)t(16,24,12)s(32,32,12)+-c(32,40,20)c(40,16,12)+-
c(40,32,20)c(40,40,20)c(40,24,20)*-s(24,32,12)c(16,24,12)+-
c(40,32,20)t(24,32,12)-t(24,40,28)t(16,48,12)-t(32,32,20)+-
t(32,40,20)s(8,48,12)+s(32,40,28)c(32,32,20)--s(32,24,20)-
s(32,40,20)s(24,24,28)s(48,24,20)-t(24,32,28)+t(32,40,28)-+
s(40,32,28)s(40,32,28)s(48,40,20)-t(48,56,12)+t(24,32,12)-*
s(24,24,28)c(40,40,20)s(48,40,12)c(32,24,20)t(24,40,28)*++-
s(16,8,12)s(16,40,20)+s(24,40,28)s(24,24,28)*+s(16,48,20)*
s(40,40,20)c(32,24,20)s(32,32,28)s(24,40,28)s(24,24,20)*-*+
c(40,32,20)s(16,40,20)s(16,48,20)+c(32,48,12)--t(40,24,20)*
t(24,48,12)c(32,24,12)s(32,40,20)t(24,48,28)s(24,32,28)*-++
s(32,24,28)t(40,40,20)c(40,24,20)s(40,40,12)-+t(32,32,28)**
s(24,48,20)s(16,40,20)*s(24,16,20)+t(32,32,28)t(32,40,20)*-
c(24,40,20)t(32,32,28)s(24,24,20)*-t(24,40,28)t(40,48,12)-*
c(40,32,20)t(24,48,28)t(48,24,12)+s(32,40,28)*-t(32,40,20)-
c(40,40,20)s(24,16,20)s(24,32,28)s(48,16,12)+c(40,32,20)*-+
t(48,16,12)t(16,56,12)+s(24,32,20)+c(16,48,12)+s(16,32,20)-
s(16,48,12)s(40,24,20)+t(32,40,12)+s(8,16,12)s(32,16,20)+*
c(32,40,20)s(24,32,20)s(24,40,20)+s(40,16,20)c(32,32,28)*--
c(32,48,12)s(32,24,20)+s(40,48,20)s(40,32,20)t(40,16,12)-*-
s(24,32,20)s(16,40,12)s(32,40,28)c(32,24,20)-s(24,40,28)*+-
s(24,32,20)t(32,24,20)s(40,16,20)t(24,40,20)+s(40,24,28)**-
s(32,40,28)s(24,32,20)*s(48,16,20)c(48,32,12)-+s(32,32,28)*
c(48,16,12)t(48,40,12)s(32,16,20)++s(32,40,28)*s(40,24,28)*
c(24,24,20)t(40,40,12)+s(24,48,20)-t(40,32,20)t(24,24,20)+*
c(32,24,20)c(40,24,20)s(24,40,28)+c(24,40,20)-*t(24,16,12)-
s(16,16,12)s(16,32,20)c(16,32,12)c(40,32,20)+s(32,48,20)*-+
s(24,32,20)c(24,24,20)s(24,40,28)s(24,24,20)*-c(16,32,12)+*
s(16,48,12)s(32,40,28)c(40,40,20)*s(48,32,20)*+s(32,32,20)*
t(24,24,20)c(24,40,12)s(32,24,20)s(48,24,12)-s(24,16,20)*+*
c(16,40,12)t(24,16,12)+t(24,40,28)*s(24,16,20)+c(32,32,12)-
s(48,24,20)s(48,32,20)*s(40,24,28)t(24,40,28)t(40,24,20)--*
s(24,40,28)t(16,48,12)-c(24,32,20)*c(16,16,12)+s(32,24,20)*
s(16,48,20)t(32,40,20)+s(32,8,12)t(40,16,12)t(40,48,12)+++
s(16,32,20)s(48,40,12)s(8,16,12)+-c(24,24,20)*c(32,32,20)*
s(40,40,20)t(32,32,28)c(16,48,12)-s(16,48,12)++s(40,32,12)-
s(16,8,12)s(24,40,28)t(40,40,20)-+t(16,56,12)-s(40,40,28)*
t(40,32,20)s(16,40,20)+c(24,40,20)s(40,40,20)-s(32,8,12)+-
s(40,24,28)s(40,48,12)t(24,40,12)+c(16,16,12)+s(32,48,20)*-
s(24,24,20)s(24,24,28)t(24,24,20)s(48,24,12)s(32,48,20)++**
s(24,24,28)s(24,32,20)s(32,48,12)t(40,24,20)+s(8,24,12)+**
t(32,48,20)s(32,24,28)+c(40,48,12)-c(24,48,12)-s(48,24,20)*
s(8,8,12)s(8,48,12)t(32,40,28)+s(48,40,20)+s(40,32,20)*+
c(24,40,20)s(32,40,20)c(48,32,12)+c(16,48,12)-t(32,48,20)--
s(16,40,20)s(32,24,20)s(40,48,20)-c(48,32,12)-s(40,16,12)-+
c(32,48,12)t(16,32,12)s(16,32,20)s(16,40,12)-+c(24,16,12)-+
t(40,24,20)c(24,32,20)s(40,32,28)*+s(24,40,20)c(24,24,12)--
t(48,32,12)s(32,32,20)+c(32,32,20)t(24,40,28)*+s(32,24,28)*
s(8,48,12)c(32,24,20)s(40,24,28)*s(40,40,12)++t(40,32,20)-
s(40,32,20)s(32,32,20)*s(48,24,20)s(32,24,12)-s(24,40,28)--
s(24,48,12)c(40,32,12)t(24,48,28)c(32,32,28)*+t(32,32,20)-+
s(32,48,20)c(40,40,12)s(24,40,20)t(40,56,12)t(16,48,12)+-+*
s(24,24,28)s(16,48,20)c(16,24,12)+*s(32,32,28)s(24,24,28)**
t(48,32,12)c(24,48,12)t(40,40,20)+t(40,32,20)-+s(24,48,20)*
c(40,32,20)s(48,40,12)-c(40,40,20)t(40,32,20)-s(16,40,20)+-
s(40,40,28)s(48,32,12)-t(32,40,20)c(32,32,12)t(24,48,12)++-
t(40,16,12)s(32,40,20)s(24,24,12)-+s(24,40,28)*s(40,48,12)-
t(32,32,20)c(40,16,12)+s(32,40,12)+t(32,56,12)s(24,32,20)+*
t(32,16,12)c(40,32,20)t(32,24,12)-s(32,24,28)+s(24,32,20)*+
c(32,32,28)s(24,32,20)-c(48,40,12)-c(40,24,20)t(24,40,12)+*
c(40,32,20)c(32,24,20)t(32,48,20)-s(40,40,28)--t(32,32,28)+
t(32,40,28)t(24,40,20)-s(32,16,12)+s(16,16,20)s(40,40,28)--
c(24,40,12)t(40,16,12)+s(40,24,28)t(24,32,12)-t(32,40,28)*+
c(48,16,12)c(24,24,20)s(24,32,20)+c(40,24,20)t(48,16,12)-*+
s(48,32,12)c(40,24,20)c(24,24,12)s(32,24,12)++s(24,40,28)*+
c(24,16,12)s(24,32,20)+s(48,48,20)+c(24,32,20)-s(48,48,20)*
s(40,32,28)s(24,48,20)t(24,32,12)-t(24,40,20)-s(48,40,20)+*
s(24,40,20)s(40,40,28)c(40,32,12)-t(32,48,20)*+t(24,40,20)-
s(32,40,28)c(40,32,12)s(48,48,20)+c(24,32,12)s(48,48,20)+*-
c(32,32,28)s(48,48,20)t(48,48,12)-s(8,8,12)+*t(32,16,12)+
s(48,48,20)c(40,40,20)*s(32,40,28)s(24,24,20)*+t(40,48,20)*
t(24,24,20)s(24,16,20)+s(32,24,28)s(24,40,28)-*s(8,40,12)+
s(40,32,20)s(40,24,20)s(48,16,20)*-c(32,32,20)t(24,32,12)-*
s(24,48,20)s(24,32,28)s(32,24,20)*s(16,48,12)+c(16,32,12)+*
s(40,24,28)c(32,24,20)*s(48,16,20)-c(32,40,20)c(32,32,20)**
t(24,32,28)s(32,40,28)*s(40,24,20)s(32,24,20)+s(24,32,28)**
s(24,32,28)s(16,16,20)t(32,24,20)+c(32,32,20)s(24,16,20)--*
c(24,24,20)t(24,32,28)c(32,32,28)s(24,16,12)-c(32,48,12)-**
t(24,40,20)s(24,24,28)c(32,24,20)*+s(8,24,12)+s(24,32,12)-
s(32,16,20)c(32,40,20)t(24,24,20)c(32,24,20)s(24,24,20)**+-
s(40,24,28)s(16,24,20)+s(16,40,12)s(40,32,20)+s(40,24,20)-+
s(32,32,28)t(32,24,20)s(48,40,20)+t(32,32,20)s(40,32,20)*-*
c(40,40,20)t(32,40,28)t(32,48,28)s(40,32,20)-+s(24,24,28)*-
c(32,40,20)s(40,24,12)t(24,32,28)s(32,48,20)t(40,24,12)+*+*
s(32,32,20)c(24,24,20)t(24,32,12)-s(24,16,20)*s(16,40,20)+*
t(24,40,20)c(24,24,20)s(8,24,12)-s(32,48,12)+c(16,40,12)-+
s(16,24,20)c(32,16,12)c(16,16,12)+s(48,16,20)s(32,16,20)*-*
c(24,32,20)s(32,16,20)t(32,48,28)+*t(40,24,12)-s(16,32,12)-
s(24,32,28)c(40,24,12)c(24,24,12)+c(24,24,20)*-s(16,16,12)+
s(32,16,12)t(40,48,20)t(40,24,12)++t(40,32,20)s(24,16,12)+*
t(32,32,28)c(40,16,12)-s(48,24,20)-s(24,32,28)*c(32,24,12)-
s(16,48,20)t(24,32,28)c(40,24,12)-t(32,32,28)*s(24,16,20)--
s(48,48,20)c(24,32,20)s(40,40,20)c(32,32,20)**t(40,40,12)+-
t(48,32,12)t(32,40,20)+t(24,40,28)s(16,16,20)s(24,24,12)-+*
s(40,40,28)c(32,32,20)+t(48,32,12)-s(40,48,12)-t(24,32,20)*
t(24,32,28)t(40,16,12)s(16,16,20)s(48,24,20)s(24,24,20)+*+-
s(32,24,28)c(32,32,28)c(40,16,12)-s(16,32,20)-t(48,16,12)+*
s(48,24,20)s(40,16,12)-c(24,40,20)s(32,40,20)s(48,24,12)+*-
s(48,48,20)s(48,40,20)s(48,48,12)s(24,24,28)+*-c(48,32,12)-
s(40,24,12)s(32,24,20)s(32,40,20)*+c(24,32,12)+t(24,32,28)*
s(24,24,20)s(32,40,20)s(32,24,28)+s(48,40,20)-t(48,56,12)+*
t(24,56,12)c(32,24,20)s(40,24,20)*s(40,24,12)t(32,24,20)+*+
c(24,40,12)s(16,8,12)+s(40,24,28)+s(40,16,20)t(24,48,28)+*
t(32,24,20)t(32,40,12)+c(32,40,20)t(48,24,12)t(40,40,20)+*-
s(32,24,20)s(24,48,20)c(32,32,28)*s(32,48,20)+t(24,24,20)+*
s(40,40,12)s(32,24,28)s(32,40,28)*s(48,32,20)*t(32,56,12)++
s(40,32,20)c(32,48,12)-c(32,32,28)t(24,48,28)*-s(32,40,20)-
s(32,40,28)s(48,8,12)c(40,32,20)s(32,40,12)t(24,24,12)+-++
t(40,24,12)t(24,32,28)+s(40,32,20)-s(40,24,28)+c(32,32,20)*
t(32,40,28)s(40,24,28)*c(32,24,20)c(24,24,20)*+s(32,40,20)*
t(24,40,28)s(24,48,12)s(24,24,28)s(24,32,12)-+t(40,24,12)--
t(32,40,20)s(32,32,20)t(16,32,12)+s(40,8,12)s(40,32,28)+**
s(24,32,28)s(48,24,20)+s(24,40,28)t(32,48,12)-s(48,48,20)+*
s(32,48,20)s(16,40,20)s(32,32,12)-s(24,40,28)*-c(24,40,20)*
s(16,48,20)s(48,32,20)t(32,40,28)-s(32,40,12)++t(40,24,20)-
c(24,16,12)t(32,40,20)+c(32,32,28)s(24,16,20)*c(24,24,12)+*
s(32,40,28)s(16,40,20)-s(24,40,28)*s(32,32,28)t(40,40,20)-+
s(8,8,12)c(40,16,12)t(40,40,20)+t(24,24,20)-+t(32,32,28)*
s(24,32,28)t(32,40,28)c(24,40,20)s(48,48,20)-*t(48,32,12)+*
s(32,40,28)c(24,32,12)s(32,16,20)s(40,40,20)+t(48,32,12)-+*
t(24,24,20)s(48,16,12)s(32,24,12)+s(32,16,12)-c(32,48,12)++
c(16,24,12)s(24,48,12)+s(32,32,28)s(40,40,28)*s(24,48,12)--
s(40,48,20)c(24,32,12)-t(32,48,28)c(32,32,12)t(16,40,12)+-*
s(16,16,20)c(24,40,20)s(16,40,20)t(40,32,20)+s(32,40,28)**-
s(40,32,28)c(24,24,20)c(32,24,20)c(48,16,12)-c(48,40,12)+**
s(48,48,20)t(40,48,20)*t(32,24,20)+t(48,16,12)t(32,32,28)++
t(32,24,20)c(32,24,20)c(16,24,12)-+s(32,24,28)s(24,16,12)-*
c(48,48,12)s(16,40,20)s(48,24,20)s(32,32,28)*+t(40,40,20)-+
s(24,32,28)c(40,24,12)-c(32,24,20)s(24,32,28)*+s(40,48,12)-
s(32,24,20)t(48,16,12)s(48,40,20)+-s(48,8,12)+s(24,40,28)-
s(48,8,12)s(16,48,20)s(24,32,28)++s(16,32,12)s(48,32,20)+*
t(32,48,28)t(24,24,20)-s(40,24,28)s(40,32,28)t(32,24,12)-*-
s(40,32,12)c(32,24,20)c(40,40,12)-+s(32,24,20)s(32,40,28)*-
s(32,24,20)s(24,24,20)*s(40,48,20)t(32,32,28)s(32,48,20)*-+
t(32,32,28)s(24,40,28)s(16,48,20)*s(24,48,20)*s(40,16,20)+*
s(40,48,20)s(32,48,20)t(40,16,12)c(24,40,20)++t(40,48,12)-*
c(16,24,12)c(40,40,20)s(32,16,20)c(24,32,20)*++s(16,40,20)*
t(24,40,28)t(24,48,28)s(40,40,28)c(24,24,12)t(40,56,12)++*-
s(32,32,20)t(24,48,20)t(48,32,12)++s(32,32,28)*s(32,24,20)-
s(8,8,12)s(24,48,12)+s(32,32,28)t(32,40,28)-s(40,16,20)++
c(32,40,20)t(48,32,12)-c(24,32,12)t(24,48,20)+*c(48,40,12)+
c(40,24,12)t(40,48,20)+t(40,24,12)s(24,32,20)s(16,48,12)++-
s(32,40,28)s(32,48,20)-s(48,32,12)-t(48,32,12)+c(24,32,20)*
s(48,40,20)s(16,16,20)+s(16,8,12)c(32,24,20)s(32,40,20)++*
s(16,32,20)s(16,24,20)c(32,24,20)s(48,16,12)-s(40,24,28)*+*
c(48,24,12)c(24,48,12)+t(24,40,20)+c(40,24,20)*c(40,24,12)+
s(24,8,12)c(40,24,20)c(32,40,20)s(48,48,20)-t(32,40,28)+*+
t(40,40,20)s(24,40,28)s(24,32,28)s(16,16,12)-++t(32,24,20)-
c(32,24,20)t(32,40,28)-t(24,56,12)+s(24,16,20)+c(24,40,20)*
c(24,24,20)s(40,40,28)*s(40,48,12)+t(24,24,20)-c(24,32,12)-
c(32,32,28)s(16,40,20)t(40,48,20)+*s(24,40,28)*c(32,32,20)-
c(32,32,28)s(32,40,20)c(40,48,12)-t(48,16,12)+s(16,8,12)+*
t(48,40,12)t(32,24,20)+s(24,32,12)s(8,32,12)+-t(40,48,20)-
t(40,24,20)t(16,24,12)+s(24,40,20)+s(40,32,28)*s(40,48,12)+
s(40,24,28)s(48,32,20)c(40,40,12)-t(40,32,20)+*t(40,40,20)+
t(24,40,28)s(8,48,12)t(32,40,28)+c(40,48,12)-c(16,32,12)++
s(24,24,20)s(16,40,20)c(24,24,20)+s(24,40,28)t(24,32,20)--*
t(32,24,20)s(24,40,20)s(16,48,20)t(32,32,20)+*t(24,40,12)-+
c(32,24,20)t(16,48,12)s(40,40,28)s(40,32,28)*+c(32,40,20)*+
c(40,32,20)s(24,48,20)+t(32,32,28)*t(24,56,12)s(48,40,12)++
s(32,32,20)t(40,40,20)s(32,40,20)*s(16,48,20)+s(32,32,28)**
t(32,40,28)t(24,24,20)t(16,16,12)+s(32,32,12)-+c(40,32,20)+
s(32,24,28)c(16,32,12)-s(32,40,28)t(32,32,28)+*s(24,32,28)*
c(24,24,20)s(40,24,20)-s(32,32,28)*s(32,40,20)+s(40,32,20)*
c(40,24,20)t(32,16,12)-s(32,24,28)t(16,48,12)s(40,32,20)+--
c(24,24,20)s(48,32,20)c(24,24,12)+*t(24,40,12)+t(32,16,12)-
s(32,32,20)c(24,16,12)c(24,48,12)+s(32,40,12)-s(24,32,28)*-
c(32,32,20)s(40,48,20)c(24,24,20)+*t(32,40,28)c(24,24,20)--
t(24,48,28)s(40,48,20)*t(40,48,20)s(48,16,12)+c(32,32,28)*+
t(24,48,28)s(8,32,12)+s(40,40,28)*t(24,48,12)t(32,32,20)++
t(24,32,20)t(32,32,20)c(16,32,12)-c(40,32,12)+t(32,48,20)--
t(32,48,28)s(40,32,28)s(24,48,20)-t(24,40,12)+t(40,24,20)*+
t(32,32,28)c(48,24,12)s(32,16,20)t(40,48,12)t(16,24,12)+++*
c(32,32,20)s(16,40,20)s(24,40,20)*s(40,24,28)--c(32,40,20)*
s(32,40,28)s(40,32,20)s(16,8,12)+-t(16,56,12)-t(32,48,28)*
c(24,24,20)t(32,32,28)c(40,24,20)+c(40,32,20)-t(24,32,12)--
t(32,48,28)s(32,40,28)t(32,40,20)s(24,24,20)t(40,40,20)+*--
c(24,24,12)s(32,32,20)s(40,32,28)t(16,40,12)+c(24,40,20)**+
c(24,32,12)s(48,40,20)c(48,32,12)s(24,40,28)+*s(24,32,20)-+
t(16,48,12)s(24,32,12)+s(24,24,12)s(24,48,12)++s(40,24,20)-
c(32,32,12)c(32,24,20)t(16,24,12)-s(24,32,20)*+s(40,40,28)*
s(32,40,28)s(40,16,20)c(48,32,12)+s(32,40,28)*-t(32,24,12)+
s(24,48,20)s(24,8,12)+c(16,32,12)-c(40,40,20)-c(24,48,12)-
c(32,40,20)t(24,48,20)s(32,32,20)c(16,32,12)t(40,16,12)+---
c(32,32,28)s(40,40,20)-c(32,24,20)t(32,56,12)+*s(16,48,20)-
s(40,32,28)t(32,32,28)c(24,24,12)--t(40,16,12)+t(32,48,12)+
s(32,40,28)s(32,48,12)-s(24,32,20)t(24,32,28)s(24,48,12)-**
s(24,48,12)s(48,24,20)s(24,24,28)s(24,40,20)*+c(24,40,20)*+
t(24,48,20)s(48,48,12)+c(32,32,20)t(32,48,28)+*s(32,24,28)+
t(32,40,28)c(24,24,20)s(48,48,20)s(40,40,20)*s(24,32,28)+*-
t(32,48,28)s(40,40,28)*c(40,40,20)c(40,24,20)-*t(16,56,12)+
s(16,40,12)s(24,40,28)t(32,48,28)c(32,32,28)*s(24,40,20)+-+
s(40,24,28)c(32,24,20)*s(48,32,12)t(32,48,28)s(24,40,20)*+*
t(24,48,28)c(16,32,12)-s(32,24,28)c(32,40,20)*-s(16,32,12)+
s(24,16,20)s(8,48,12)c(32,24,12)+s(40,40,20)-s(24,40,12)++
s(8,48,12)c(40,24,20)t(48,40,12)-s(24,40,28)-+c(32,24,20)-
t(24,48,20)s(40,40,20)+s(24,32,20)-s(24,48,20)+s(40,40,28)*
t(24,32,28)s(40,32,12)s(24,32,20)++c(32,24,20)*t(40,32,20)-
s(40,40,12)s(32,24,20)c(32,40,20)s(48,40,12)-*s(48,8,12)++
t(32,40,28)s(16,32,20)t(40,48,12)c(16,32,12)+*-t(40,48,20)*
t(40,32,20)c(32,32,12)t(40,32,12)c(48,40,12)+s(40,40,20)*+*
s(24,32,28)s(48,32,12)+t(32,32,28)s(24,40,12)-t(32,32,12)--
t(48,24,12)s(24,32,20)+c(16,24,12)-s(24,24,28)c(40,32,20)**
s(24,32,28)s(24,24,20)s(32,24,28)s(32,40,12)-*-s(40,32,28)*
s(16,24,20)s(24,24,20)s(16,16,20)+c(16,40,12)c(24,16,12)+*-
t(24,48,28)s(40,16,12)+t(40,56,12)s(40,24,20)t(32,32,28)++-
t(48,32,12)s(16,24,20)s(8,24,12)-c(32,16,12)-+s(24,48,20)-
s(24,40,28)s(16,48,20)c(40,40,20)s(32,48,20)*t(32,40,28)*++
s(32,24,28)s(24,40,12)-t(24,32,20)t(40,32,20)++t(32,40,28)*
c(40,40,20)s(32,40,28)s(24,32,28)s(40,48,12)s(32,40,12)+--*
s(48,48,20)t(24,40,28)s(32,16,12)c(40,40,20)+*+s(32,32,12)-
c(32,32,20)s(40,40,28)t(24,48,28)*t(48,32,12)s(40,8,12)++*
c(16,16,12)s(48,40,12)+s(24,40,20)s(40,40,20)s(40,32,20)*-+
s(40,40,28)c(24,40,20)-c(48,48,12)c(16,32,12)+s(16,24,12)--
t(40,32,12)c(32,24,12)+c(32,24,20)s(40,24,20)*t(32,32,28)**
c(32,32,20)s(32,40,28)c(32,32,28)s(32,48,12)-*s(24,40,28)**
t(24,48,28)t(32,48,28)s(32,40,28)s(8,32,12)s(24,40,20)++*-
c(32,32,20)s(24,24,28)+t(40,40,20)*c(40,24,20)+t(32,24,12)-
s(32,40,28)c(32,32,12)-s(40,16,20)s(24,24,28)*+c(32,32,20)*
s(24,24,28)s(40,8,12)-s(16,16,20)-s(8,40,12)-c(32,40,20)*
t(32,32,28)t(24,24,20)-s(32,8,12)+s(48,16,20)t(24,32,12)+-
s(40,40,20)t(32,32,28)s(32,24,12)-t(24,48,28)s(24,48,20)*+*
c(24,24,20)s(24,32,20)*s(24,16,12)+s(32,40,28)s(24,32,20)+*
c(16,16,12)s(8,32,12)+t(32,32,28)c(40,40,12)s(32,48,20)+--
s(32,24,28)c(16,16,12)-s(24,24,12)c(40,40,12)c(16,48,12)++*
s(32,48,20)s(40,16,20)s(24,16,12)c(32,32,12)+-+c(24,32,20)-
s(32,40,28)s(24,24,28)s(32,24,12)-s(24,40,12)-s(24,40,28)*-
s(32,24,28)s(40,40,28)s(32,24,20)s(24,48,20)+t(32,48,20)-*-
s(32,48,20)t(24,40,28)t(40,16,12)+c(24,48,12)--s(24,48,20)*
s(16,48,20)t(24,24,20)s(16,40,20)c(24,24,20)*t(32,40,12)++-
s(32,48,20)s(24,48,12)t(16,16,12)+s(24,40,20)+s(24,16,12)-*
c(32,32,20)t(40,16,12)t(32,32,28)s(48,32,20)-+t(24,40,20)+-
s(32,24,28)s(48,16,12)-s(32,16,20)s(24,24,12)-s(16,40,20)+*
c(32,40,12)s(48,40,12)s(32,16,20)+s(16,32,20)-+c(40,24,12)-
c(32,24,20)t(24,56,12)s(40,40,28)c(40,40,12)-s(32,24,28)*+*
s(32,16,20)t(24,40,20)+t(24,40,12)c(40,32,20)s(48,40,20)-+*
s(32,16,20)c(32,32,20)s(40,24,20)s(32,32,28)c(32,40,20)-+*-
s(48,16,20)s(40,16,20)*c(40,24,20)c(40,40,20)c(32,40,20)+*-
s(24,32,28)s(24,24,20)t(24,40,20)t(24,48,28)s(16,40,20)**-*
s(32,32,28)c(40,32,20)*c(16,40,12)c(32,32,20)t(32,32,12)-+*
s(32,32,28)c(16,32,12)-s(40,40,28)s(40,32,20)t(24,48,12)+**
s(24,24,20)t(24,56,12)+t(40,16,12)c(32,40,20)+c(24,40,20)**
s(24,24,28)t(40,32,12)-t(24,32,12)-s(40,24,28)s(40,40,20)*+
c(40,40,20)c(24,48,12)-s(32,32,28)c(40,24,20)s(24,24,28)**-
t(24,40,28)t(48,24,12)+s(40,16,12)+c(32,32,12)t(32,48,12)+*
t(24,48,20)s(32,40,28)s(24,32,28)*s(32,32,28)t(32,48,28)-*-
c(40,40,20)t(24,48,28)t(24,24,20)+s(40,40,20)-s(40,24,20)+-
s(40,40,28)t(32,48,28)-t(24,32,28)s(40,24,28)*-t(32,40,28)-
s(24,24,20)s(40,32,28)*c(16,40,12)t(48,56,12)+-s(48,24,20)+
s(24,24,20)c(32,32,20)s(32,40,20)c(48,24,12)++*t(40,32,12)+
c(40,24,20)c(32,32,28)s(16,16,20)*t(24,40,20)t(16,32,12)--+
s(40,32,28)t(32,32,28)-c(32,32,28)*t(32,56,12)c(40,16,12)+-
c(40,48,12)t(32,32,28)s(40,24,20)*+t(48,56,12)c(24,24,20)+*
s(8,40,12)s(32,40,20)t(24,32,20)+c(48,40,12)-+c(40,40,20)+
s(40,24,12)s(24,24,20)s(16,40,20)t(48,24,12)+t(24,40,28)*++
c(32,40,20)t(32,32,28)t(32,48,20)--s(32,48,20)*c(16,48,12)-
c(32,32,12)s(48,32,20)s(32,16,20)+s(40,32,12)-s(16,16,20)*+
s(24,32,20)t(24,32,28)s(32,16,20)s(16,24,20)t(32,32,28)-+-*
s(40,40,28)c(40,40,20)s(40,32,20)s(40,40,28)s(24,24,28)*+--
s(40,40,28)s(48,40,12)-s(32,32,28)+s(32,40,28)c(40,24,20)--
s(32,32,28)t(24,40,12)-c(32,32,20)t(24,32,28)t(16,32,12)-*+
s(16,40,12)t(24,32,20)+s(8,24,12)c(24,40,20)+s(40,40,20)*-
s(16,24,12)s(40,16,12)c(40,32,20)s(32,32,20)*+c(40,32,20)*+
s(16,32,20)s(32,16,20)-c(32,40,20)+c(32,32,20)t(24,32,28)**
s(40,24,28)c(32,32,28)c(32,24,20)--c(24,24,20)-s(48,24,12)+
t(24,48,28)t(40,40,20)+s(40,40,28)*c(48,24,12)s(40,32,20)+-
s(32,32,12)t(40,16,12)+t(16,16,12)+c(32,32,20)s(32,24,20)+*
c(24,32,20)c(24,40,12)s(48,32,20)+c(24,32,20)-s(40,40,20)+*
t(32,40,20)c(32,24,20)t(32,32,12)-s(24,24,20)s(40,40,12)++*
t(24,32,28)t(24,48,12)+s(24,48,12)-s(32,24,20)s(48,24,20)*+
s(24,16,20)s(32,40,28)s(24,24,20)*-c(40,32,20)s(32,32,28)*-
s(16,16,12)c(32,32,20)s(16,24,20)s(24,16,20)c(16,40,12)+*-+
s(16,16,20)t(32,48,20)s(40,40,12)-+t(16,24,12)-c(24,40,20)-
s(16,24,12)s(32,24,20)+t(16,16,12)-s(40,48,12)t(32,32,20)+*
s(32,40,28)c(24,24,20)c(32,40,20)*s(32,16,12)--s(40,32,28)*
t(40,24,20)s(40,48,20)s(40,32,12)++s(24,24,20)-t(32,40,28)+
s(32,40,20)c(40,40,20)+s(24,40,28)*c(32,40,20)t(40,32,20)-*
s(48,40,20)c(40,40,12)c(16,32,12)t(24,40,20)++c(48,48,12)+*
t(32,32,20)c(40,16,12)+c(24,40,12)+c(24,16,12)-s(24,40,28)*
c(32,40,20)t(32,32,28)*t(40,48,20)-s(24,24,28)t(40,32,12)-+
t(40,48,20)s(40,32,28)+t(32,32,28)s(16,32,20)-c(32,40,20)+*
s(8,16,12)t(24,48,20)+t(16,24,12)+s(40,32,20)+t(40,24,20)*
t(24,24,20)s(24,40,28)s(24,24,28)*+s(32,32,20)*s(32,24,20)+
t(40,56,12)c(32,24,20)+t(32,40,28)t(24,40,20)-s(48,24,20)--
s(32,32,28)t(32,40,12)-t(32,48,28)+s(24,24,20)*t(32,40,28)+
t(32,40,20)s(32,24,12)+c(32,40,20)c(24,32,12)-t(32,48,28)*-
c(32,32,28)s(16,24,20)*t(24,24,20)s(32,40,12)+s(32,32,20)*-
c(32,32,28)s(32,32,20)-s(16,48,20)t(40,48,12)+c(24,32,20)*-
s(32,32,28)s(40,40,28)s(48,40,20)s(24,40,28)-*-t(16,32,12)-
c(24,40,20)t(40,24,20)-s(32,32,28)c(24,48,12)c(16,40,12)+*-
t(32,32,28)s(24,24,28)s(16,32,20)c(48,16,12)+s(24,40,28)--+
s(40,40,20)c(40,32,20)s(40,32,20)s(32,32,20)+s(32,40,20)-*-
s(40,40,28)c(48,32,12)-t(24,40,20)s(40,16,12)+-c(32,40,20)*
s(40,16,20)s(48,40,20)s(40,48,20)*+s(48,48,12)t(32,32,20)+*
c(40,32,20)c(24,32,20)t(24,40,28)*t(40,24,12)++t(40,24,20)-
t(24,40,28)s(32,16,20)s(24,32,28)*-s(32,32,12)+s(40,40,12)-
s(16,32,20)c(32,32,20)s(40,48,20)+s(32,24,28)*s(24,40,28)*+
s(16,24,20)c(40,24,20)+t(24,32,20)t(40,48,20)s(24,48,12)-+*
s(16,16,20)s(24,48,20)+t(32,48,28)s(32,40,28)*-c(16,32,12)-
s(40,24,20)s(24,32,28)*t(24,32,28)+c(32,24,20)*c(40,40,12)-
s(8,48,12)s(40,32,12)+t(24,40,20)-t(16,16,12)+c(40,32,20)-
t(24,48,28)s(48,24,12)t(32,40,20)+t(32,48,20)+c(24,16,12)+*
s(32,32,28)t(24,40,28)s(24,32,12)s(32,32,20)s(40,24,28)*+*-
c(24,16,12)c(40,40,12)+c(48,48,12)-s(40,32,12)+s(24,40,20)-
t(40,32,20)s(24,24,20)+t(24,32,20)s(32,24,12)+t(48,48,12)+*
t(24,40,28)c(40,32,12)t(32,48,20)+c(48,32,12)+*t(16,48,12)-
c(40,32,20)s(32,32,20)t(24,48,28)s(16,32,20)s(40,40,28)----
t(24,48,28)s(32,40,28)c(40,32,20)c(32,40,20)*-+s(40,24,20)-
s(48,24,20)c(40,32,12)+s(40,48,20)s(24,32,28)s(16,40,20)*++
c(24,32,12)s(32,16,20)s(48,24,20)s(24,40,28)+s(48,32,20)*-+
s(24,24,28)s(24,32,28)*s(24,40,12)s(40,16,20)+t(32,32,28)**
c(40,24,12)s(16,48,20)s(16,48,12)-t(32,48,12)++c(40,40,20)*
s(16,48,12)c(32,24,20)t(32,40,12)-+c(32,24,12)t(24,40,28)+*
t(32,32,28)s(40,48,20)s(24,32,20)+*t(24,32,28)t(16,32,12)-*
s(24,24,28)c(40,24,20)s(40,24,20)c(24,24,20)+c(32,32,20)***
s(16,48,20)c(40,32,20)s(48,24,20)*t(32,32,28)+s(40,24,12)--
s(24,32,20)c(32,32,28)s(48,32,20)-s(40,24,20)-*s(32,32,28)*
s(32,40,28)c(32,32,20)+c(24,32,20)c(32,24,12)-s(48,16,12)+*
c(24,40,20)t(40,16,12)+t(40,40,20)t(48,48,12)++s(40,32,20)*
s(40,40,28)c(24,32,12)t(48,56,12)+t(24,32,28)*-s(40,48,20)*
s(32,16,20)s(32,32,20)s(32,40,20)*c(48,32,12)-s(48,16,20)+*
c(32,24,20)s(32,16,20)c(16,16,12)-c(32,24,20)*-s(16,40,12)-
s(24,32,28)s(16,40,20)s(24,32,20)s(40,32,12)-t(24,32,12)--*
s(24,40,20)s(40,16,12)t(24,48,20)s(24,40,20)++s(32,24,28)**
s(16,24,12)s(40,48,12)+s(32,16,20)-c(32,24,20)t(48,24,12)-+
t(24,40,28)s(32,32,20)c(32,48,12)--t(32,32,12)s(24,48,20)+*
t(40,24,20)t(32,32,12)s(32,16,20)+t(24,48,12)+s(32,40,20)*+
s(16,32,20)c(32,16,12)+s(24,8,12)t(32,24,20)+s(32,24,20)**
s(32,32,28)t(24,32,12)t(24,24,20)+t(24,40,28)+*s(16,40,20)*
s(16,8,12)t(40,24,20)c(40,48,12)t(24,32,28)+c(32,40,12)--+
t(24,40,12)t(16,48,12)+s(48,24,20)+c(24,32,20)s(24,24,20)*+
c(40,32,20)s(40,40,20)*c(32,32,12)c(16,32,12)+s(40,24,28)*-
s(40,24,28)c(24,24,20)t(32,32,28)t(24,40,20)t(32,32,12)--*-
s(32,16,20)s(16,24,20)c(32,16,12)--t(48,24,12)+t(32,32,20)+
s(32,40,28)s(40,32,28)t(24,48,28)*-c(32,40,20)*t(32,32,20)-
s(40,40,28)s(32,40,28)c(16,40,12)-s(32,32,12)-s(48,24,20)--
c(24,48,12)s(32,8,12)c(32,16,12)++s(24,16,20)+t(24,40,20)-
c(32,32,28)s(24,24,20)-c(48,32,12)-c(24,40,20)c(24,24,12)--
t(40,48,20)s(48,40,20)+s(24,8,12)s(40,40,28)+s(24,24,20)-*
s(16,24,20)s(40,32,12)+c(40,24,20)*t(32,24,20)+s(40,24,20)+
t(32,24,12)s(40,48,20)s(16,40,12)++s(24,40,20)-t(24,16,12)+
c(40,32,20)s(48,16,12)t(32,48,28)+s(24,24,20)-*t(24,24,20)+
s(32,16,20)s(48,40,20)s(32,40,20)-s(40,24,28)t(32,32,28)*-+
s(24,24,20)s(32,8,12)s(40,40,20)s(16,24,12)+s(16,32,20)*+-
s(40,40,28)t(32,48,28)*s(32,24,20)-s(40,40,28)s(24,24,28)*+
s(40,32,28)t(24,32,28)*t(48,56,12)+s(16,16,12)s(32,48,20)+*
c(48,48,12)s(32,32,20)s(24,24,28)s(40,32,12)-*+s(16,32,12)-
s(40,24,28)s(32,24,20)s(24,32,12)t(48,24,12)+-c(40,40,12)+*
s(48,8,12)s(32,32,20)+t(24,40,12)c(40,24,20)+*s(48,24,20)*
c(32,32,20)s(40,32,20)*c(32,40,20)s(16,48,20)*s(32,32,20)+*
t(24,40,20)s(32,24,28)+t(32,40,20)s(32,24,28)s(48,32,20)*--
s(24,32,20)s(48,16,20)+s(40,32,20)s(32,48,20)s(24,40,20)*--
t(24,32,28)t(24,40,12)t(32,24,12)t(24,56,12)+c(32,48,12)++*
s(32,48,20)s(40,48,20)*s(24,24,28)s(16,32,20)-+t(40,32,20)-
s(40,40,28)c(40,32,20)s(48,16,12)--s(48,16,20)s(24,24,28)+-
c(32,40,20)t(32,40,28)c(16,24,12)c(24,48,12)+t(32,24,12)+-*
c(32,48,12)s(40,32,20)c(24,24,12)t(40,32,20)+*+s(16,32,20)-
s(40,40,20)c(24,40,20)s(16,24,12)t(24,48,28)+c(24,32,20)--*
s(40,48,12)c(40,32,20)c(32,32,20)c(40,24,12)-t(32,40,28)**+
t(32,32,12)s(40,24,28)s(16,40,20)+s(40,48,20)s(24,8,12)+*+
t(24,32,28)t(24,56,12)+s(24,24,28)*t(32,24,12)c(32,32,12)+-
t(24,40,28)t(24,40,28)s(16,32,20)s(40,40,28)c(32,40,20)+*--
c(24,24,20)s(32,40,28)c(32,32,20)++s(40,32,28)s(24,16,12)-*
t(32,32,28)t(24,24,20)s(16,16,12)--s(24,32,28)*c(40,24,12)+
c(40,40,20)c(16,40,12)c(32,32,12)++c(40,24,20)t(32,40,28)**
s(16,48,20)t(24,24,20)t(32,24,20)+s(40,40,20)s(48,24,20)+++
t(24,48,12)s(8,32,12)+t(32,40,12)+s(40,24,28)t(24,32,28)*-
c(32,48,12)t(24,24,20)+c(32,32,28)s(24,16,20)*t(48,32,12)+-
s(24,40,28)s(24,40,20)t(24,32,28)+c(32,32,20)t(24,32,12)-**
s(48,16,12)s(16,24,20)s(24,24,20)s(40,16,20)s(32,32,20)-+*+
s(32,32,28)c(40,32,20)*s(16,16,20)t(40,24,12)s(48,48,12)++*
s(32,24,28)s(16,32,12)s(48,16,20)+*t(32,48,28)+s(40,48,20)-
s(40,40,28)s(40,32,12)-s(40,24,28)c(32,32,20)s(40,32,12)-*-
s(48,40,20)s(48,24,20)+s(40,24,28)t(32,16,12)-*s(40,16,12)-
s(40,32,28)c(16,24,12)+s(24,40,20)t(32,40,20)*-c(32,40,20)*
c(32,24,12)t(48,40,12)+t(40,32,20)+t(24,32,28)c(24,32,20)**
s(32,40,20)t(40,40,12)c(32,24,20)c(24,32,12)s(48,32,12)+*+*
s(24,8,12)s(40,16,20)c(40,32,20)*+s(40,24,20)c(32,24,20)**
s(40,32,12)t(32,48,28)c(24,40,20)s(40,32,20)--t(32,24,12)++
t(24,40,20)t(16,32,12)-t(16,16,12)+s(40,48,20)s(40,32,28)*-
s(48,32,20)t(24,32,28)s(48,40,20)t(24,48,28)-+s(32,24,28)*-
t(40,40,20)s(16,24,20)+c(48,48,12)t(24,48,28)+t(32,32,28)*-
s(24,32,28)s(48,48,12)c(32,40,12)+s(40,40,20)+s(16,40,20)+-
s(32,24,28)c(24,48,12)s(16,24,12)+-s(32,32,28)s(40,24,28)-+
s(40,40,28)t(40,24,20)s(40,32,20)*s(24,40,28)s(32,48,20)-+*
c(32,32,20)s(16,32,20)-s(48,40,12)t(24,24,20)+s(32,32,20)*-
s(40,48,20)s(16,24,12)c(24,40,20)+t(16,40,12)-s(24,32,28)*+
s(48,32,20)s(48,24,20)t(32,40,28)-*c(24,24,20)t(24,40,28)*+
t(32,32,28)t(32,16,12)-c(24,40,12)c(40,48,12)+s(8,24,12)+*
c(32,32,20)s(24,40,28)s(32,48,12)-*s(32,24,20)*s(16,40,12)-
t(40,56,12)c(24,40,20)t(16,32,12)s(16,16,12)+-+c(48,24,12)+
s(32,40,28)s(32,32,12)-s(24,16,20)t(16,32,12)s(32,32,20)++*
t(32,40,28)c(40,40,20)c(40,32,12)-s(16,48,12)+t(24,40,28)**
c(32,32,28)c(24,24,20)-s(8,24,12)+c(40,32,20)t(24,32,12)--
s(40,40,28)s(40,32,12)-s(24,40,28)t(32,32,20)*+s(24,24,20)-
s(32,32,20)c(32,16,12)+c(24,32,20)t(40,24,12)-t(32,32,28)-+
c(40,24,20)s(16,24,20)s(24,24,20)+c(32,24,20)*+s(16,32,20)-
t(24,24,20)t(24,32,28)c(40,40,20)-s(16,32,20)*+s(24,40,20)*
c(40,24,20)s(32,16,20)s(16,32,20)-*s(32,48,20)+t(24,48,20)*
c(40,40,20)s(32,32,20)*t(24,24,20)c(24,24,20)c(40,24,12)-*+
s(32,40,28)s(24,24,20)s(32,8,12)-*s(40,48,20)t(32,32,28)-+
s(32,32,20)s(24,24,20)s(40,16,12)-t(32,40,20)+*t(24,32,20)*
c(32,32,12)c(40,40,12)s(48,32,20)t(32,24,12)+s(32,24,28)*++
c(32,40,20)s(40,16,20)-c(16,24,12)-s(16,48,12)-t(32,16,12)+
t(24,40,28)s(32,32,28)+c(40,24,20)*s(24,32,12)-s(32,24,20)*
t(32,24,20)t(24,48,28)c(32,40,20)s(32,16,20)-*-t(16,56,12)+
c(24,24,20)c(32,32,20)-c(48,32,12)+c(24,24,12)t(16,32,12)+-
s(40,24,12)s(16,48,20)t(24,56,12)-+s(48,32,12)+s(24,40,28)*
s(24,40,20)t(24,48,12)-t(40,40,20)+c(16,24,12)-s(32,32,20)*
s(16,16,12)s(24,24,28)c(32,24,20)*s(24,32,20)s(32,24,20)*-+
s(24,48,20)s(40,48,20)s(40,40,28)t(24,40,20)+t(32,32,12)-*-
t(24,32,28)c(24,24,20)t(24,24,12)-s(48,16,20)c(32,24,20)*+*
c(24,16,12)c(24,32,12)+t(32,56,12)s(32,24,28)+t(32,16,12)-*
t(32,32,12)s(16,8,12)c(40,24,20)s(48,32,20)*s(48,40,12)-++
c(48,32,12)s(16,48,20)+s(24,32,20)s(32,32,20)s(32,24,20)*+*
t(24,48,28)c(32,40,12)s(16,24,20)+*s(8,48,12)+c(32,32,28)*
s(32,48,20)s(24,40,20)+s(16,16,20)s(32,32,12)+s(24,16,20)--
t(40,48,20)s(24,48,20)s(40,24,28)+c(16,48,12)s(16,40,12)+*+
s(24,24,28)s(16,48,12)s(32,32,20)+s(24,24,28)*t(40,48,20)+-
s(40,16,20)s(24,40,12)+c(16,32,12)+t(32,32,12)c(32,24,12)+*
t(32,40,28)t(32,32,28)s(24,32,28)s(40,40,28)s(48,24,20)*-*-
c(32,32,28)s(24,32,12)s(16,32,12)+-s(24,32,28)s(24,16,20)*+
c(24,40,20)t(24,24,12)s(16,40,20)t(24,48,12)-+s(48,32,12)+-
s(32,40,28)s(24,48,20)+t(24,40,28)*c(16,32,12)s(40,48,12)+*
s(24,32,28)s(8,32,12)-s(32,32,28)t(32,32,12)-s(40,40,28)*-
s(32,32,28)s(24,40,28)s(40,24,12)--s(40,24,20)*c(32,48,12)+
s(40,32,28)s(16,16,12)s(48,40,20)+*t(32,48,28)s(40,24,20)+*
c(32,32,28)s(48,48,20)c(40,24,12)+t(24,48,28)-s(32,16,20)+-
c(32,32,20)s(40,24,20)s(24,32,20)s(32,24,28)*--t(32,32,20)*
t(32,24,12)c(32,32,20)s(48,40,12)+s(40,24,12)t(48,40,12)+-+
s(40,16,20)s(40,40,20)+s(48,40,20)c(48,24,12)-t(40,16,12)+*
s(40,40,20)s(24,24,28)s(48,48,12)+*c(40,32,20)*s(24,24,12)-
c(32,40,20)s(32,24,20)*c(32,24,20)c(24,32,12)c(32,40,12)+*+
s(24,16,20)c(32,32,20)t(24,40,20)-t(16,32,12)+s(24,24,20)+*
t(24,40,20)s(40,16,12)s(24,32,20)++s(40,24,28)*s(40,32,20)*
s(24,24,20)c(16,48,12)t(24,48,12)t(48,56,12)+++s(16,24,20)-
c(32,32,20)s(40,24,20)+c(32,24,20)c(24,24,20)**c(24,40,20)*
s(48,48,12)s(40,16,20)s(32,16,20)*s(16,16,20)+s(24,40,20)++
s(32,16,20)s(48,32,20)s(24,40,28)s(24,24,28)*-s(40,16,20)-+
s(48,16,12)c(40,40,20)c(32,24,12)s(24,8,12)+++t(32,32,28)-
s(24,24,20)s(48,48,12)t(40,48,12)+s(40,24,28)s(32,32,28)-++
s(16,48,12)c(32,24,20)+c(24,32,20)s(8,32,12)-*s(24,24,12)-
t(32,16,12)s(24,24,12)+t(24,56,12)+c(24,32,20)c(24,40,20)*-
s(24,48,20)t(32,40,28)c(16,32,12)-s(24,32,28)*+s(8,40,12)-
s(32,40,20)s(48,40,20)*c(24,40,20)+s(32,32,20)-t(16,24,12)+
t(32,40,28)s(24,40,20)*c(32,32,20)t(24,32,28)*s(48,16,12)+*
c(24,32,20)t(32,24,12)-s(32,32,28)c(40,32,20)-t(24,32,20)++
s(32,16,12)s(24,48,20)s(40,40,12)-+t(32,32,20)-s(24,40,20)-
t(24,32,28)t(40,24,20)-s(24,24,28)t(32,16,12)-*s(24,40,20)*
s(24,40,20)s(16,40,20)s(8,40,12)-t(24,24,20)+*t(32,40,12)-
c(24,40,20)s(32,48,12)-s(48,24,20)-s(16,40,20)s(24,48,12)-*
s(24,24,20)c(32,40,12)+c(32,24,20)s(40,32,28)s(32,48,20)+*+
s(24,48,20)s(40,32,20)s(40,24,28)s(40,40,20)---s(32,16,20)+
s(32,32,28)c(40,40,20)s(32,40,28)c(40,40,20)s(48,40,20)--*-
s(16,40,20)c(32,32,20)s(24,32,20)s(32,16,20)-*t(24,24,12)+-
t(32,32,20)s(32,40,28)s(24,48,20)-s(32,40,20)*+c(32,16,12)-
s(40,32,20)c(48,40,12)+t(32,32,28)s(16,32,20)*s(24,24,12)++
s(32,24,28)s(48,16,20)-c(32,32,20)+c(40,32,20)-s(32,32,28)*
s(16,48,20)s(40,32,28)+c(32,32,28)c(48,40,12)-*s(24,48,20)*
c(32,40,20)t(32,56,12)-s(40,48,20)c(32,32,12)-s(48,16,20)+*
t(40,32,20)s(24,16,12)+c(40,24,12)-c(40,24,20)+s(24,48,20)-
c(24,40,20)t(24,32,28)s(40,40,20)s(48,32,20)*-+t(32,32,28)*
s(32,32,20)c(32,24,20)*t(32,32,28)*s(40,48,20)-s(24,16,20)+
s(32,24,28)c(40,24,20)*s(32,24,20)*s(40,32,20)t(32,40,20)+*
t(40,24,20)s(24,24,12)+t(32,32,28)*c(40,24,20)s(24,32,28)**
s(24,32,28)t(24,40,28)*c(32,16,12)c(40,40,20)+s(24,48,20)*-
s(24,32,20)c(32,48,12)s(16,32,12)+c(48,40,12)t(16,16,12)+++
s(32,8,12)s(24,32,28)c(24,24,20)*s(32,40,20)c(24,40,20)*-+
c(32,40,12)s(24,32,28)s(24,40,12)-t(32,16,12)-t(32,40,28)*+
s(8,40,12)t(24,48,20)s(24,32,20)s(32,32,12)--s(24,32,12)++
t(32,48,28)c(32,32,28)t(24,48,28)c(24,32,12)+c(40,32,20)-*-
s(40,40,12)t(24,48,28)t(24,40,28)+s(32,40,20)s(48,48,20)-*+
s(40,48,20)c(32,48,12)s(8,8,12)c(24,32,20)++s(16,40,20)*-
s(40,16,20)s(24,16,12)-s(40,32,28)s(48,24,20)**t(24,40,12)+
s(32,40,20)c(32,40,20)s(48,40,12)-*t(40,24,12)+s(24,16,20)-
s(24,40,28)s(32,24,20)-t(32,40,28)*t(32,48,28)c(24,16,12)+*
s(32,24,28)s(16,24,20)s(24,24,28)c(40,16,12)-*+c(32,32,20)*
s(24,32,28)s(32,32,28)t(32,24,20)-*s(40,48,12)-s(16,24,12)-
c(16,24,12)t(48,32,12)+s(32,24,20)+t(40,48,12)s(32,32,20)+*
s(40,40,28)t(40,24,20)-c(40,48,12)c(40,24,20)+*c(32,48,12)-
s(24,48,20)t(24,48,28)*c(32,16,12)+s(16,48,20)*s(24,40,20)*
s(24,32,20)t(24,48,20)c(40,40,20)t(24,48,12)-t(32,32,28)--+
s(24,8,12)t(32,32,20)+c(16,32,12)-s(40,24,20)c(40,16,12)--
c(24,48,12)t(24,32,28)+c(24,40,20)*s(32,48,12)-s(40,48,20)-
c(24,40,20)t(24,24,20)+t(32,48,12)-s(16,32,20)s(32,32,12)-*
s(48,16,20)t(32,32,20)-s(32,24,28)*s(32,40,20)t(16,40,12)-+
c(24,24,20)s(32,24,28)s(40,24,28)**s(32,24,20)*s(40,32,12)-
s(32,40,20)c(24,24,20)s(32,24,28)*s(32,32,20)**t(32,24,20)+
t(24,32,28)c(40,16,12)s(32,24,28)s(24,32,12)-s(32,32,20)*+-
t(32,32,28)t(32,24,12)t(40,40,20)c(48,24,12)t(32,24,20)+-+-
c(32,32,20)c(32,40,20)t(24,24,20)-s(40,32,12)-t(16,40,12)+*
s(32,24,28)c(24,24,20)t(40,48,20)t(32,24,20)+-*t(16,24,12)+
c(24,24,20)s(24,48,12)c(24,24,12)t(48,48,12)c(16,40,12)+++*
t(32,48,28)c(32,40,20)c(32,24,20)t(40,24,20)s(8,24,12)+*-*
c(16,16,12)s(32,40,20)+c(32,40,20)c(24,32,12)-*c(32,16,12)+
c(48,24,12)c(24,16,12)+s(32,32,20)s(32,48,20)s(24,24,28)---
c(32,32,28)s(32,32,28)s(24,24,28)t(16,32,12)-*s(24,48,12)+-
c(32,40,20)c(32,24,20)s(48,32,20)s(32,32,28)*-s(48,48,20)+*
s(32,48,20)s(48,8,12)+s(32,32,28)s(48,48,12)-t(32,32,12)--
s(32,24,28)s(8,48,12)s(40,40,12)+-c(32,32,20)c(40,32,20)**
c(32,24,20)t(40,24,20)t(32,48,20)t(24,32,12)+-c(16,16,12)+*
c(40,32,20)s(24,32,20)t(32,48,20)-t(32,32,28)*s(48,48,12)+-
t(40,24,20)t(32,48,20)c(48,24,12)+c(24,40,20)-s(32,16,20)+*
s(40,32,28)t(32,32,20)t(32,40,28)c(16,32,12)-*s(24,24,12)+-
s(24,40,20)s(16,40,12)-t(48,16,12)s(32,24,28)s(48,32,20)*+-
s(24,32,28)t(32,16,12)-c(48,32,12)+s(48,32,20)c(32,24,20)+*
s(32,16,20)s(40,16,20)s(32,40,20)c(16,40,12)-+*s(24,24,28)*
s(24,24,20)s(32,40,20)t(40,24,20)s(40,32,20)*-s(32,48,20)*+
s(16,24,12)t(40,24,20)s(40,16,20)++t(40,24,20)s(40,40,28)*-
s(24,24,28)s(32,32,28)c(24,16,12)-s(16,40,12)-s(32,24,28)**
c(32,32,28)s(32,24,20)s(48,16,20)+*s(24,32,20)t(24,40,28)*-
c(32,48,12)c(24,24,20)+s(32,40,28)c(24,24,20)*-s(24,32,28)+
s(32,24,28)s(24,32,20)s(48,8,12)+*t(16,32,12)t(40,32,20)+*
t(40,40,12)s(8,8,12)t(32,48,20)++c(24,40,12)-s(8,16,12)-
t(24,32,28)s(32,32,28)s(24,24,28)c(48,48,12)+c(24,16,12)-**
s(40,32,28)t(24,32,20)-s(40,16,20)s(32,16,20)s(24,16,20)*-+
s(48,48,20)s(32,40,20)t(24,24,20)-+t(24,40,28)c(16,16,12)+*
s(24,24,28)c(32,40,20)-s(8,8,12)-s(16,24,20)*t(48,24,12)+
c(24,24,20)s(24,8,12)s(48,24,20)c(40,32,20)s(16,32,20)+*+*
s(32,16,12)s(48,40,12)t(24,32,28)c(32,32,20)*s(16,40,12)-++
c(40,32,20)s(24,32,28)s(16,16,20)c(24,32,12)+--s(16,48,20)+
s(40,24,20)t(48,56,12)s(32,24,28)t(32,32,20)-+s(40,24,28)**
t(40,32,20)s(40,24,20)s(16,16,20)c(32,40,20)+c(32,40,12)-+*
s(40,32,28)s(48,48,20)*s(24,24,28)+s(40,32,20)t(40,24,12)--
s(32,24,28)t(24,32,28)s(40,32,28)**s(16,32,20)+c(32,24,20)*
s(32,32,28)s(32,24,28)*t(32,40,28)*c(40,32,20)*t(24,40,12)-
s(40,40,20)s(24,32,20)-s(16,32,12)+t(32,56,12)t(24,40,20)++
s(32,24,28)t(24,48,12)+t(40,40,12)s(16,16,20)+*s(40,24,28)*
s(24,40,28)t(40,32,20)-s(24,24,20)t(48,56,12)+-t(32,40,20)-
c(32,32,12)t(48,16,12)+t(32,24,20)+s(32,24,20)s(32,40,28)**
t(40,16,12)s(40,8,12)t(40,40,20)+t(32,32,28)*t(40,40,20)*+
s(40,16,20)s(24,24,28)s(40,32,20)*s(48,8,12)s(32,16,12)++*
s(40,40,28)t(24,32,20)t(16,40,12)-t(16,40,12)+-s(40,48,20)*
t(16,48,12)t(24,24,20)t(40,32,20)-+c(24,24,12)+s(16,32,12)-
c(16,16,12)s(32,24,12)+c(32,32,12)+s(40,24,28)s(48,16,20)+*
s(16,40,20)c(24,32,20)t(32,48,28)*t(24,48,20)+s(40,40,12)--
c(40,24,20)s(32,24,20)*t(40,32,12)-s(40,32,28)s(32,24,28)**
s(32,48,20)s(16,48,20)s(24,40,28)*t(48,40,12)+s(40,32,12)+*
s(24,24,28)c(48,48,12)s(16,24,20)+c(40,32,12)+c(32,24,20)**
c(16,48,12)t(24,40,20)+s(16,8,12)t(32,40,28)+s(48,40,12)-+
c(32,48,12)s(24,24,12)+c(24,32,20)*c(48,32,12)s(16,48,20)++
s(24,40,20)t(16,24,12)-s(24,40,20)c(24,24,20)*s(32,8,12)+*
t(48,56,12)s(40,16,20)+c(40,32,20)c(32,16,12)--s(8,40,12)+
c(24,16,12)s(32,32,20)+s(24,40,28)c(24,32,20)s(8,24,12)-**
s(40,40,12)t(48,56,12)+s(40,40,20)+c(32,40,20)*s(24,32,28)*
t(48,56,12)s(40,32,20)+c(32,48,12)-t(40,24,20)c(16,24,12)+-
c(32,24,20)s(24,32,20)*s(40,24,20)c(32,40,20)*s(8,24,12)++
t(40,16,12)t(32,32,28)+t(16,48,12)t(16,40,12)+-t(32,40,28)*
s(32,48,20)s(24,32,20)s(16,8,12)+c(48,48,12)+c(32,24,20)*-
t(48,40,12)s(24,32,28)t(32,48,28)-s(32,40,28)-+s(24,16,12)-
t(24,40,28)t(24,48,12)c(40,48,12)+s(16,24,12)+t(24,24,12)+*
s(48,8,12)s(24,32,28)+s(24,40,28)t(48,48,12)c(16,24,12)++*
t(32,48,28)t(24,40,20)s(16,16,20)-c(40,32,20)t(40,24,12)-+*
s(40,32,28)s(32,40,28)*t(32,48,12)s(24,32,28)s(24,16,20)*+-
s(32,32,28)s(16,48,12)-t(32,40,20)c(32,24,20)+t(24,40,28)--
s(40,8,12)c(40,40,20)+s(40,24,20)s(40,48,20)s(40,40,20)++*
t(16,40,12)c(32,24,20)c(24,24,20)s(40,24,28)s(48,40,20)*--+
c(24,24,20)s(24,32,20)+c(48,24,12)s(48,32,12)s(16,24,12)++-
t(32,48,28)s(8,8,12)+s(40,40,28)*s(32,32,28)s(16,32,12)-*
s(24,24,12)c(16,32,12)+s(48,32,20)+t(24,40,20)+s(24,40,28)*
t(48,32,12)s(24,40,28)+c(32,32,20)s(40,40,20)*-s(16,24,20)*
s(24,24,28)s(16,48,12)+s(32,40,28)*s(40,40,20)t(32,32,28)*-
s(40,24,12)s(24,48,20)+s(16,32,12)-s(16,32,20)+t(24,24,12)-
s(40,24,28)s(32,24,28)*c(32,24,20)s(32,48,20)+t(32,40,28)*-
c(48,48,12)s(24,24,20)+c(16,40,12)-c(24,40,20)s(48,24,20)--
s(40,48,20)c(40,24,12)s(40,16,12)+c(32,48,12)+*s(48,40,12)+
s(40,48,20)c(24,32,20)s(48,32,20)t(16,16,12)+*t(32,16,12)+-
c(40,32,12)t(32,40,28)+c(32,24,20)*t(24,40,28)+s(16,48,20)-
c(24,32,20)t(32,40,28)t(48,24,12)t(32,48,20)+-t(40,24,20)--
t(24,40,12)s(40,48,12)+c(40,24,20)s(32,24,28)s(24,48,20)-*+
c(40,40,20)t(24,48,28)c(24,32,20)*t(40,40,20)s(24,48,20)+*+
s(32,24,12)t(32,48,12)c(24,16,12)++t(32,40,28)s(16,48,12)-*
s(8,32,12)c(40,32,20)s(32,40,12)-+t(40,24,20)c(48,40,12)--
s(24,24,28)s(32,40,12)-c(32,32,20)s(24,8,12)+t(40,48,20)-+
s(32,24,28)t(24,40,20)-s(24,24,28)c(32,32,12)-*s(32,48,12)+
s(24,16,20)t(32,48,28)+s(32,16,12)c(32,40,12)+-c(24,32,20)-
c(16,48,12)t(24,40,28)s(16,40,12)-c(40,24,20)+t(24,32,28)-+
s(40,24,20)s(32,40,28)s(16,32,12)-*t(40,40,20)+c(48,48,12)-
s(48,48,20)s(16,24,12)+s(40,40,28)+t(48,56,12)-s(32,24,20)-
s(24,24,28)s(16,24,20)c(24,40,20)--s(16,32,20)t(32,32,28)--
c(24,40,20)c(16,48,12)s(40,24,28)s(32,16,20)c(32,32,28)*-+-
t(32,32,28)t(24,24,12)-t(32,32,28)s(48,48,12)-*s(48,40,12)-
s(32,32,28)t(40,40,20)s(32,24,20)+t(32,24,20)-*t(32,40,28)*
s(48,24,12)t(32,40,20)t(40,32,12)+s(32,48,20)+s(24,32,20)-+
s(24,40,28)s(40,40,28)c(48,40,12)-c(40,40,20)*c(24,24,12)--
t(32,32,28)s(16,48,12)s(32,32,12)+c(40,32,12)--c(32,40,20)+
s(48,32,20)c(40,40,12)+t(24,32,28)s(32,32,28)t(24,48,20)-*-
t(24,40,20)s(32,16,20)+c(24,24,20)*t(24,48,12)c(48,40,12)++
c(40,32,20)s(40,16,12)-s(24,24,28)s(32,24,28)s(32,40,12)---
s(24,32,28)t(24,56,12)t(24,40,12)+-c(32,32,20)t(32,48,12)-*
c(24,40,20)s(32,48,12)s(32,16,12)+s(32,40,20)+c(32,40,20)**
s(40,40,20)t(48,24,12)-c(24,24,20)-c(40,24,12)s(16,32,12)++
s(40,24,28)t(32,40,20)-s(24,24,20)+c(32,32,28)*c(48,24,12)-
t(24,40,20)s(32,24,28)s(40,32,28)s(48,40,20)-*s(32,32,12)-+
c(32,24,20)s(40,48,20)s(16,24,12)+-t(32,32,20)s(32,24,20)*-
s(32,24,28)t(24,40,28)t(16,48,12)--c(32,32,20)t(32,48,12)-*
c(24,40,20)s(24,16,20)+c(48,16,12)t(48,24,12)+t(16,48,12)++
s(24,32,28)s(16,16,20)-c(24,32,20)*t(24,40,28)*s(40,32,28)+
s(32,40,20)c(24,40,20)s(40,48,20)*-s(40,32,12)s(40,40,12)++
t(48,32,12)t(32,40,20)+t(48,56,12)s(24,40,20)+*c(40,32,12)+
s(48,8,12)s(32,40,20)+t(32,40,20)s(40,40,28)t(24,40,28)*+*
s(16,32,20)s(40,40,20)s(40,24,20)+-s(16,24,20)t(40,40,20)+*
t(24,48,20)t(32,32,28)c(40,24,20)*+t(24,24,20)-t(32,48,20)*
c(32,24,20)c(24,32,20)s(24,32,20)c(40,40,20)+s(40,16,20)---
t(24,48,28)s(48,16,20)s(40,24,20)*s(16,40,12)+c(24,40,20)-+
t(24,48,28)t(24,40,28)*t(32,32,28)s(24,32,12)-+s(40,32,12)-
s(24,24,28)t(48,16,12)c(40,16,12)+c(48,32,12)-+c(32,32,20)+
c(40,24,20)s(24,48,12)s(32,16,20)s(16,16,12)++s(24,24,28)**
t(32,32,12)s(48,48,12)s(32,16,12)++s(24,32,28)*t(40,48,20)+
c(32,32,20)t(32,48,28)s(16,40,20)+c(40,40,20)*s(32,48,20)*-
s(32,24,28)s(32,40,28)t(32,24,12)-+c(32,32,12)c(16,32,12)+*
s(40,16,20)s(16,48,12)s(40,24,12)+-t(16,24,12)t(16,40,12)++
t(24,40,28)c(32,24,20)t(48,32,12)-s(48,48,12)++s(16,16,20)-
s(32,16,12)s(48,24,20)+s(32,24,20)c(32,32,20)*c(40,48,12)+*
s(40,40,28)s(32,48,20)s(32,40,28)t(48,48,12)t(24,40,28)+*+*
t(32,32,28)t(40,32,12)s(32,16,20)s(32,32,20)-+-s(40,32,20)+
t(24,24,20)s(24,48,12)c(32,48,12)++t(24,48,28)t(32,48,20)*-
c(32,32,20)t(48,24,12)-c(32,40,12)t(48,48,12)+-s(32,40,28)*
s(48,40,20)s(32,32,28)s(24,24,12)-s(16,48,12)+c(16,48,12)-*
c(32,24,20)t(32,40,28)+t(40,48,12)-s(32,32,28)t(24,40,28)**
s(40,40,28)t(32,32,28)*s(24,40,28)*s(40,48,20)t(24,24,20)+*
c(32,40,12)s(8,16,12)+c(24,40,20)s(32,40,20)**s(24,48,12)+
s(32,32,28)c(48,48,12)c(32,40,12)+s(24,24,20)++c(16,24,12)-
s(32,32,28)c(40,16,12)-t(32,40,28)c(40,32,20)**s(32,40,20)*
s(16,40,20)t(32,48,28)-s(24,40,28)t(32,56,12)s(40,24,20)+*+
t(24,32,28)c(48,40,12)-c(48,16,12)s(16,40,20)+t(32,48,20)-*
c(16,48,12)c(40,40,12)t(24,48,20)+c(48,40,12)++s(40,48,20)-
s(32,24,28)s(32,32,12)c(32,16,12)+s(48,24,20)s(48,32,20)*++
s(24,40,28)c(16,32,12)s(24,8,12)++c(40,16,12)c(16,16,12)+-
s(48,16,12)s(24,40,28)s(24,48,12)-t(24,24,20)-s(32,24,20)-+
s(32,24,20)s(32,32,20)c(32,24,20)s(40,40,28)**s(48,24,20)++
s(48,8,12)c(24,16,12)+t(24,24,20)c(32,32,20)*t(16,48,12)++
t(24,24,20)t(24,48,28)t(40,32,20)+c(32,32,20)+t(24,32,28)**
c(32,32,20)s(40,32,20)*s(40,24,12)t(16,24,12)+t(24,40,20)+*
t(24,40,28)t(24,40,12)t(32,24,20)+*c(16,48,12)+t(32,32,12)-
s(32,48,20)c(16,48,12)+s(32,32,28)+c(48,32,12)t(32,48,20)+*
s(32,32,20)t(48,56,12)+s(24,24,12)s(40,16,12)+-c(24,32,20)*
s(16,24,20)c(48,24,12)c(24,40,20)+s(24,32,28)c(24,24,20)**-
t(32,32,28)s(32,40,20)*c(40,40,20)t(32,40,28)c(32,16,12)-**
t(40,40,20)t(16,56,12)s(32,24,12)+t(32,40,20)s(48,32,12)++*
s(40,48,20)c(24,32,20)s(24,40,28)*t(40,48,12)++c(32,24,12)-
c(40,16,12)t(32,32,20)+t(24,40,12)s(32,16,20)+c(48,24,12)-*
s(40,16,20)s(32,32,28)s(48,40,20)--c(24,40,20)+t(24,32,12)-
t(24,32,28)s(32,24,28)*s(40,48,20)t(48,24,12)+s(32,40,20)*-
c(16,24,12)s(8,32,12)+s(40,40,28)s(8,40,12)+t(32,32,12)-+
c(32,32,28)c(16,24,12)-t(32,48,28)+s(48,16,20)s(32,48,20)+*
c(48,48,12)s(32,24,28)+s(40,40,20)t(40,40,12)-c(48,48,12)--
s(24,24,20)s(40,40,20)s(40,24,28)*s(24,32,28)s(40,32,28)*+*
s(16,24,20)s(32,24,20)-s(32,24,28)s(40,24,28)s(48,40,20)*-+
s(32,40,20)s(40,24,12)-s(24,48,12)-t(40,24,20)c(48,40,12)--
s(24,32,28)t(32,24,20)s(24,24,20)s(8,16,12)-s(40,40,12)+*-
c(32,24,12)s(24,16,20)c(32,32,28)s(16,48,12)-s(40,32,12)-*+
t(48,24,12)s(40,24,12)+s(24,16,20)c(32,32,28)*s(32,16,12)-+
s(24,48,20)c(32,40,20)s(24,24,20)s(32,32,20)*c(40,40,20)+*-
t(32,32,20)s(32,32,28)t(40,24,20)s(32,40,12)-*+s(48,32,12)-
s(24,40,28)s(40,32,20)*t(32,40,20)s(24,16,20)+s(24,24,20)*+
s(24,32,28)s(40,48,20)+s(16,40,12)-t(16,24,12)-c(32,24,12)-
s(24,24,20)t(32,48,28)s(24,24,28)-c(16,40,12)+s(40,24,12)++
s(32,32,28)s(40,40,28)*s(40,24,28)t(32,32,12)-t(40,40,20)+*
s(32,16,20)s(32,24,20)s(40,8,12)s(40,40,20)+-c(40,16,12)++
c(48,40,12)t(24,40,20)+s(40,40,20)s(48,48,20)t(48,16,12)++*
s(32,24,28)c(24,40,20)t(24,32,20)c(24,16,12)+*t(40,56,12)+*
t(24,48,28)t(40,24,20)s(48,40,20)+-s(40,32,28)s(32,16,12)--
s(24,40,28)s(40,24,12)-t(32,32,28)s(40,40,20)*s(32,48,12)+*
s(16,48,20)c(32,32,28)t(40,40,20)-s(48,48,20)-s(24,8,12)-*
s(24,24,28)c(16,24,12)t(32,32,20)+s(16,16,20)c(16,32,12)+*-
c(24,24,20)s(40,32,28)-c(32,40,20)-c(32,32,20)+s(32,48,20)*
s(40,24,20)s(32,16,20)+s(32,24,28)t(40,32,20)--t(24,32,28)-
t(48,48,12)t(32,32,28)+t(24,24,20)c(40,40,12)+t(24,32,28)*-
s(16,24,20)s(32,24,28)s(32,16,12)--s(48,48,20)s(32,32,28)-+
s(48,48,20)c(40,24,20)t(32,48,12)c(32,16,12)+*+s(32,40,28)-
s(48,48,20)s(24,32,20)s(32,40,20)+s(16,24,12)-c(32,40,12)--
s(48,40,20)t(48,24,12)-s(24,40,12)+c(16,16,12)+t(40,40,20)*
t(24,48,28)c(32,32,20)s(40,32,28)c(40,24,20)c(40,40,20)*-*+
c(40,32,20)s(24,32,28)*c(40,32,20)c(24,32,12)-*t(24,40,20)+
s(32,24,20)s(48,16,20)t(32,24,20)+s(32,32,20)c(32,40,20)*+*
s(32,24,20)t(32,40,20)+s(16,16,20)c(24,24,20)*+s(48,48,20)-
c(32,40,20)s(32,40,28)t(24,40,12)-c(24,32,20)**s(16,48,20)-
s(24,40,20)s(40,32,28)c(32,24,20)-s(48,24,20)s(40,48,20)+*+
s(24,32,28)t(16,40,12)-t(40,24,20)s(40,16,20)*s(40,40,12)+-
t(40,32,20)s(16,40,20)s(24,40,20)*s(32,40,12)+s(16,32,12)-+
c(32,24,20)s(40,32,28)*s(8,16,12)t(40,40,20)+s(48,32,12)--
t(16,24,12)c(48,24,12)+s(8,32,12)t(24,32,28)+-s(8,40,12)+
s(24,32,28)s(24,32,28)s(40,24,20)*s(48,32,20)+*c(32,40,20)*
t(16,40,12)t(24,48,20)+s(24,24,20)s(32,24,20)s(32,48,20)+*-
s(16,40,12)t(24,48,28)c(32,40,20)s(48,40,20)*-c(32,32,20)-+
c(32,32,28)s(32,24,20)s(48,32,20)+c(24,24,20)s(16,16,20)*-*
s(24,32,28)s(32,40,28)s(24,24,20)s(16,16,20)-t(32,48,12)+*-
s(40,24,28)s(32,24,28)*s(24,40,28)*t(32,48,28)+c(40,24,20)*
s(24,24,20)t(40,40,20)+c(40,24,20)*c(16,40,12)+s(40,24,28)*
c(24,24,20)c(32,32,12)-s(32,40,28)-c(32,40,12)+c(32,32,20)*
s(32,32,20)s(32,16,12)-c(32,32,28)s(24,24,28)*t(24,40,20)+*
s(24,48,20)s(32,40,28)c(24,24,12)-c(32,32,20)t(24,48,28)+**
s(24,32,28)t(32,32,28)t(40,32,20)--t(32,40,28)*s(40,8,12)+
c(40,40,20)s(32,24,28)+s(32,16,20)s(32,32,12)-s(48,16,12)+-
c(24,24,12)t(32,24,20)+s(32,40,28)t(24,24,20)t(40,32,12)+**
s(40,40,28)s(24,32,28)*s(8,8,12)+t(16,40,12)s(24,24,20)+*
c(48,24,12)c(48,16,12)+s(40,24,20)t(32,32,28)s(40,48,20)+*-
s(24,32,28)c(32,16,12)t(24,56,12)+-s(24,40,28)s(40,32,28)*-
s(40,32,20)s(24,32,28)*t(40,16,12)+s(40,24,20)t(32,16,12)-*
t(32,32,28)s(48,48,20)c(32,40,12)++s(16,32,20)s(40,24,20)--
t(32,48,28)s(48,48,20)*s(24,16,20)s(32,16,12)s(16,16,20)+*+
c(24,24,20)c(24,40,20)s(24,24,28)s(40,40,12)-c(32,32,20)--*
s(48,32,20)c(48,16,12)+s(40,32,28)s(16,40,20)-s(40,24,12)-*
c(40,32,20)t(32,40,28)t(24,32,28)s(24,40,28)*+s(32,40,28)*-
s(24,24,12)s(24,32,28)s(24,32,28)s(40,40,20)*-s(24,16,20)*+
c(40,40,12)c(32,24,20)+s(32,48,20)s(32,40,20)s(24,16,20)-*-
s(24,8,12)t(24,24,20)s(16,40,20)++t(32,40,28)s(40,32,12)--
s(32,40,28)c(24,24,12)c(40,40,20)c(40,24,20)s(48,32,20)**+-
c(32,16,12)c(40,40,20)+s(32,48,20)-s(32,32,20)t(24,24,20)+*
c(32,32,20)s(24,40,20)c(24,32,20)s(16,48,20)-c(32,40,12)--*
s(32,40,28)c(24,32,12)s(40,24,20)+*c(24,32,20)t(24,40,28)**
s(24,32,28)c(40,40,12)-s(32,48,12)s(40,24,20)+s(32,32,28)**
s(24,48,20)c(24,40,12)s(24,32,20)c(16,16,12)-+c(16,40,12)++
c(32,24,20)s(24,32,28)c(48,48,12)s(40,32,28)s(24,40,20)-+*-
t(24,48,28)c(24,32,20)c(40,40,12)+c(40,32,20)*s(32,40,20)*-
s(48,32,20)c(40,40,20)t(24,48,28)*+s(8,40,12)+s(40,24,12)-
c(32,24,20)c(24,24,12)s(16,48,20)+s(32,32,28)s(32,24,28)**-
s(32,32,28)t(48,48,12)t(16,40,12)+-c(24,48,12)-t(32,32,28)*
s(16,16,20)c(24,24,20)t(48,48,12)t(32,32,12)+-s(32,16,20)*-
s(16,48,12)s(40,24,20)s(16,32,12)+s(16,32,20)-s(40,32,28)*+
s(32,40,28)s(40,40,28)*t(32,48,28)*c(24,32,20)s(16,48,12)--
t(24,40,28)s(40,48,20)c(32,40,20)c(24,24,12)-+*s(32,48,20)*
t(40,24,20)s(24,40,28)c(48,40,12)s(48,16,12)t(40,32,12)++--
s(40,24,28)s(24,40,28)t(24,40,20)c(40,24,12)+c(24,24,20)***
s(16,40,20)t(32,24,20)t(24,24,20)+s(48,24,20)-s(16,24,20)*+
t(24,40,20)t(24,32,28)+t(24,24,12)s(24,40,20)+*t(16,16,12)+
s(24,48,12)s(40,40,28)s(24,48,20)-s(8,40,12)c(32,40,20)+*+
c(40,32,20)t(24,40,28)t(24,24,20)c(24,40,12)+c(24,16,12)-*-
s(16,40,20)c(24,32,12)c(24,32,20)t(24,40,12)-+t(16,16,12)-*
c(32,32,20)s(24,8,12)s(24,24,20)t(48,56,12)++s(32,24,20)**
s(16,40,20)s(40,48,20)s(32,24,28)+*t(24,56,12)+s(24,48,20)*
s(48,24,12)c(32,32,20)s(32,24,20)-s(40,32,28)*s(24,40,12)++
t(24,48,28)t(32,24,20)+c(32,40,20)*s(48,16,20)-t(32,32,20)+
s(8,32,12)c(32,24,12)+s(48,40,20)-t(24,40,20)-s(16,16,12)+
s(40,40,28)s(16,48,12)s(40,32,20)c(32,32,20)*+*s(40,40,20)*
t(32,32,28)c(40,24,20)s(40,8,12)-+c(40,24,20)t(40,24,12)-*
s(24,32,28)s(16,24,12)-c(40,48,12)+s(16,40,12)-s(48,40,20)*
s(32,32,20)s(48,32,20)+s(40,48,20)-c(40,40,20)s(32,32,28)*-
c(24,32,20)s(24,24,12)-s(40,16,20)s(32,32,20)-+t(32,32,28)*
s(24,24,12)t(40,32,20)s(40,40,20)*+s(24,24,28)*t(40,48,20)-
s(40,40,28)c(32,40,20)t(40,24,20)s(8,32,12)+s(16,32,12)--*
s(8,8,12)c(16,48,12)t(32,32,12)+s(24,32,28)s(40,40,28)+*+
s(32,40,20)s(40,24,20)t(24,24,12)s(40,16,20)+*-t(24,40,12)-
c(40,32,20)t(32,40,20)s(32,24,28)+t(24,32,20)s(40,32,12)+-*
s(40,24,28)s(40,16,12)-s(32,40,20)s(24,32,28)s(32,32,28)**+
s(48,40,20)s(40,16,20)+c(40,32,20)+c(48,40,12)s(16,32,12)+*
s(16,32,20)c(24,32,20)s(16,48,20)*s(40,40,12)c(16,32,12)++*
s(32,24,28)s(40,40,28)s(32,32,20)c(24,32,20)t(24,32,28)*+*-
s(24,32,20)c(32,40,20)s(40,24,28)t(40,24,20)--s(8,40,12)+*
t(24,32,28)s(32,24,12)t(16,24,12)s(32,40,20)t(32,32,20)*++*
t(32,32,28)c(24,40,12)-s(40,24,28)s(40,32,20)t(24,40,28)+--
s(48,32,20)c(40,40,20)*t(24,32,28)s(32,24,20)c(48,16,12)-*+
s(40,40,20)s(32,40,20)*s(48,48,12)+c(32,32,20)*t(32,32,20)+
t(32,48,28)c(48,16,12)t(24,32,28)s(16,24,20)s(24,32,20)**++
s(16,32,20)t(40,16,12)+c(32,24,12)+t(32,32,20)*s(8,32,12)+
s(24,32,20)s(16,16,20)s(40,16,20)s(16,48,12)+-s(16,32,12)--
t(24,24,20)s(40,32,20)+c(32,24,12)s(24,32,12)+s(16,24,12)-*
t(32,32,28)c(24,40,20)t(16,32,12)-t(24,32,28)*c(40,40,12)+*
c(16,40,12)c(32,32,20)+c(32,32,20)s(24,24,20)*s(32,24,20)*-
s(32,32,28)s(32,16,12)-s(32,24,28)c(24,32,20)t(32,24,12)---
t(24,32,28)s(24,24,20)*s(24,24,28)t(40,24,20)-c(24,32,20)*+
s(24,32,20)s(24,32,12)-s(16,48,12)+s(40,48,20)-s(32,40,28)*
s(8,16,12)s(40,24,20)t(24,32,28)c(40,40,20)*++c(32,48,12)-
s(48,16,20)c(40,48,12)s(32,40,20)+s(24,40,28)*+s(48,40,12)+
s(32,24,28)s(24,40,20)+s(40,40,28)*s(32,32,20)t(40,32,20)+*
s(32,24,12)s(24,8,12)c(40,32,12)+t(24,40,28)-+s(40,16,12)-
s(32,24,20)s(40,24,28)s(48,16,20)*-s(40,40,20)t(24,32,20)++
s(16,24,20)c(32,24,12)s(40,24,28)t(16,24,12)c(48,24,12)+*+-
s(48,24,20)c(32,32,28)c(24,16,12)-*c(40,24,20)s(48,32,20)**
s(40,40,28)t(32,48,28)*s(40,32,12)s(24,32,20)+s(32,24,20)+-
c(32,40,20)c(32,24,20)*s(24,40,28)s(32,48,20)-+t(16,24,12)-
c(48,32,12)s(40,32,28)s(32,24,20)-+c(32,32,28)s(48,48,12)-*
s(24,24,20)s(48,32,20)-s(16,40,20)-s(32,40,20)+s(32,40,12)-
s(32,48,20)t(32,48,28)s(16,24,12)t(24,48,28)+*t(24,32,20)-*
t(32,48,28)s(48,48,20)s(40,32,20)-s(32,24,12)+s(24,24,20)-+
s(32,40,28)s(40,40,20)-s(32,48,20)c(32,32,20)*-s(40,32,20)-
t(32,48,28)s(24,24,28)c(32,24,20)*c(32,40,20)*t(48,24,12)+-
s(48,40,20)c(40,40,20)t(40,48,20)c(32,32,12)-s(16,48,20)+-*
c(16,16,12)s(40,24,20)t(24,32,12)-s(48,16,12)-+t(24,32,28)*
c(24,40,20)t(40,40,20)c(32,24,20)c(24,40,20)*+*c(24,24,20)*
s(32,40,20)s(48,40,20)s(32,24,20)-s(48,32,20)+-t(40,40,20)+
s(16,32,20)s(40,32,20)s(40,40,20)s(16,32,20)-*s(16,40,20)+*
s(40,40,20)s(40,32,20)c(24,40,20)c(24,32,20)s(32,24,28)*+*-
s(40,48,20)s(32,32,12)s(16,40,12)+-s(40,40,20)*s(40,40,12)+
s(48,32,12)t(32,48,28)s(8,40,12)t(40,32,20)+-+s(48,32,12)-
s(32,24,28)t(24,32,28)s(24,48,20)*-c(24,24,12)-t(40,24,12)-
t(40,56,12)c(24,32,20)s(24,24,28)s(16,48,20)-*c(32,32,20)*+
s(40,16,20)c(40,24,20)*s(32,32,28)c(24,40,20)*s(24,24,28)*-
s(32,40,20)s(40,32,28)s(24,32,12)-t(40,40,20)-c(24,32,12)+-
c(40,40,12)s(48,16,12)c(16,40,12)+c(16,48,12)+s(32,24,20)-+
s(24,40,28)t(32,24,20)-t(32,40,28)t(24,32,28)*t(40,48,12)+*
c(32,24,20)s(40,32,28)s(32,32,12)-s(16,40,20)+s(16,8,12)+*
s(32,40,28)t(32,32,28)s(32,16,12)s(16,8,12)s(40,40,12)++--
t(32,48,28)s(24,40,20)*c(24,24,12)+t(24,32,28)*c(24,24,20)*
s(16,24,20)c(24,24,20)*c(24,24,20)s(24,32,20)*s(40,8,12)+*
t(32,40,28)s(24,32,28)s(24,48,12)-*s(8,16,12)+t(40,48,20)+
c(24,40,20)s(24,40,28)c(40,40,20)-c(32,32,28)*s(40,32,12)+-
s(32,16,20)s(24,24,20)s(24,32,28)s(40,24,28)**c(40,24,12)+*
c(48,32,12)t(32,32,28)s(16,32,20)*s(16,32,12)c(40,40,12)+++
t(32,32,28)s(24,32,28)s(24,40,28)**s(32,40,28)c(24,48,12)-+
s(40,40,28)s(48,48,20)-s(32,32,20)s(16,32,20)*+t(48,32,12)-
c(40,24,20)c(24,32,12)-s(48,32,12)-s(24,24,28)s(32,40,20)*-
s(24,32,20)t(32,56,12)+t(24,56,12)t(40,40,12)+-c(24,24,20)*
c(32,32,20)c(40,24,12)-s(32,32,12)-s(24,32,12)+s(24,24,28)*
t(32,40,28)s(24,40,28)+s(16,24,20)s(24,24,20)t(48,56,12)+**
t(32,48,20)c(48,40,12)c(48,48,12)++s(24,32,20)-t(32,32,28)-
c(40,32,20)t(32,32,28)t(24,48,20)-s(40,24,20)s(32,8,12)+**
t(24,40,28)s(16,48,20)s(16,16,12)t(32,32,20)+c(32,24,20)*-+
c(24,40,20)s(8,16,12)s(24,40,20)t(24,32,20)*+s(8,24,12)-+
t(40,40,12)s(16,32,20)+c(40,48,12)-t(16,56,12)s(16,40,20)+*
c(24,24,20)c(48,40,12)+c(24,32,20)*c(24,32,12)c(40,32,12)+*
s(48,24,20)c(32,24,20)s(48,40,12)+c(48,16,12)-t(40,32,12)--
c(32,40,20)s(24,24,12)t(24,48,28)+c(32,16,12)s(32,32,20)+**
t(40,48,20)s(40,16,12)t(40,24,12)++c(32,32,20)s(48,24,20)*-
c(48,16,12)c(24,24,20)s(32,48,20)-+s(24,32,28)*s(16,24,20)*
s(48,16,20)s(24,8,12)+s(40,16,12)-s(48,32,20)s(32,32,28)*-
c(24,40,20)s(24,32,20)c(16,24,12)-s(24,40,20)*t(32,48,20)+*
s(40,40,20)t(16,56,12)t(32,16,12)++t(24,48,28)*s(48,48,12)+
s(32,16,20)s(32,24,20)t(32,32,12)s(24,48,12)++*c(48,16,12)-
s(32,32,12)s(16,24,20)c(16,40,12)-+s(24,16,20)s(24,24,20)*-
s(40,16,20)c(32,24,20)s(32,32,28)+s(48,40,20)s(32,40,20)*-*
t(24,40,28)s(16,32,20)s(40,32,28)+*t(24,48,20)+t(32,32,28)*
t(32,32,20)s(24,8,12)+s(32,16,20)s(24,16,12)-s(16,16,20)+*
s(24,32,20)s(48,32,20)c(32,32,28)*s(24,40,28)c(40,40,20)-+*
s(16,24,20)s(24,24,28)t(40,16,12)t(16,48,12)+-c(24,16,12)--
t(16,48,12)t(32,48,20)s(8,32,12)+s(8,24,12)-t(40,40,12)-+
t(32,32,28)s(24,32,12)-s(40,32,20)*s(48,32,20)t(32,32,20)-+
s(48,40,20)s(32,40,28)t(32,32,28)*s(24,32,28)*-s(40,40,28)*
t(48,40,12)s(24,32,20)t(40,56,12)c(32,16,12)+++t(32,48,20)-
c(32,32,28)s(24,24,12)-t(32,32,20)s(16,24,20)t(32,40,12)++*
t(24,32,28)s(24,24,28)*c(24,40,12)s(24,32,20)t(40,24,20)-+*
s(32,24,28)s(32,40,28)t(48,40,12)-t(24,40,20)c(16,24,12)+**
c(24,32,20)t(24,32,20)s(8,32,12)+*t(32,48,28)+s(40,32,20)*
t(24,32,12)c(32,40,12)c(16,40,12)+t(24,40,20)*+t(32,40,20)+
s(40,32,20)c(32,24,20)*c(24,32,20)+t(24,48,12)-c(40,40,20)-
s(32,40,28)c(32,40,12)-s(48,48,20)s(24,40,28)s(40,40,20)*+*
s(32,40,28)c(48,48,12)-t(24,56,12)s(24,32,28)c(32,48,12)-+*
t(24,32,28)c(40,32,20)s(32,24,20)*s(40,32,20)+*s(24,32,12)+
s(16,16,12)s(24,24,20)s(32,32,12)-+c(40,40,12)+s(32,40,20)*
s(32,32,28)t(32,48,28)-t(24,32,28)t(32,32,28)c(48,24,12)-*-
s(24,32,20)c(32,32,28)c(24,40,12)-+s(40,40,28)t(40,48,20)--
s(48,32,12)s(40,32,28)c(40,40,20)*t(24,32,28)*+t(32,40,12)-
s(48,32,20)t(40,48,20)+s(24,24,28)s(32,40,28)-s(40,24,12)+-
c(32,32,20)c(48,24,12)-s(24,32,20)s(24,16,20)t(40,24,20)--*
t(32,48,20)c(24,40,20)t(32,32,12)t(40,48,20)+*+c(40,40,12)-
c(40,32,20)s(24,32,20)c(32,32,28)c(24,48,12)-*t(24,56,12)+-
c(24,32,20)c(40,40,20)s(32,32,20)-s(16,32,20)+s(8,32,12)-*
c(40,24,20)s(48,48,20)s(16,40,12)+s(16,32,20)+s(48,24,12)+*
s(48,48,20)c(32,24,20)s(16,24,20)t(32,40,20)s(40,40,20)+--+
s(32,8,12)s(32,48,20)+s(40,32,20)t(32,32,20)t(40,24,12)+*-
c(24,24,20)s(16,24,20)*c(24,40,12)-t(32,32,28)+s(24,40,28)*
c(48,32,12)c(24,32,12)+t(40,48,12)+c(40,40,20)+c(24,24,20)+
t(32,32,20)c(40,40,20)+c(24,32,20)t(24,16,12)s(40,40,12)+-*
c(24,24,20)c(16,32,12)t(32,32,20)+*t(24,24,12)c(24,40,12)+*
s(48,24,20)s(24,24,28)s(16,40,20)t(24,48,12)--c(32,16,12)--
s(24,24,20)s(40,24,28)*s(32,48,20)+t(24,48,28)*t(32,48,28)*
c(16,24,12)s(40,48,12)+s(24,40,28)*s(32,40,28)c(40,24,20)*-
c(40,40,20)c(32,32,20)s(32,24,20)c(32,40,20)-+s(40,24,28)*-
t(40,32,20)s(24,32,28)t(32,32,28)t(40,24,20)-t(16,48,12)++*
s(32,40,28)t(32,32,28)c(40,32,20)*s(40,32,28)s(40,24,28)***
t(32,40,28)t(24,32,20)+s(24,24,28)*t(24,40,20)-s(32,32,12)+
s(40,16,20)t(16,56,12)+s(24,16,20)s(24,24,28)t(16,24,12)-*-
s(40,32,28)t(32,16,12)-c(40,32,20)s(48,24,12)-t(24,40,12)-*
s(40,48,20)c(16,16,12)t(40,24,20)t(40,48,20)+s(24,32,12)++*
s(16,40,20)s(24,40,20)t(40,24,20)+s(40,32,28)--t(32,48,12)+
s(48,24,20)t(24,24,20)+s(48,16,20)c(32,32,20)s(32,16,20)*--
t(24,32,28)s(32,32,20)s(16,40,12)c(40,24,20)+**s(24,48,12)-
c(32,40,20)t(24,40,20)s(24,24,12)-*s(32,24,28)+c(40,32,12)-
s(32,32,28)s(40,40,28)s(24,32,20)*-s(24,24,28)s(32,32,20)*-
s(48,40,20)c(32,48,12)-t(40,40,12)-s(40,40,28)t(40,48,20)-*
s(24,32,28)s(24,40,20)s(32,24,28)t(24,40,20)--*s(16,8,12)+
s(48,48,20)t(24,32,28)s(48,48,20)t(32,32,20)-s(32,16,20)+--
s(32,16,20)c(24,40,12)+s(16,40,20)t(32,32,20)+*s(48,32,20)-
c(24,40,20)c(40,40,20)*t(40,40,20)s(32,40,20)s(32,8,12)+*+
t(32,32,28)s(40,24,12)-t(16,16,12)t(24,40,20)t(40,32,12)++*
s(48,24,20)c(40,24,20)t(48,16,12)-*s(24,16,12)+s(24,32,28)*
s(24,32,20)c(24,40,20)*s(40,48,12)c(32,24,12)++s(40,32,12)-
c(40,24,20)t(32,48,12)s(48,32,12)+t(48,16,12)+c(32,40,20)*-
s(40,40,28)c(24,32,12)s(8,24,12)t(32,48,28)+c(24,32,12)-+-
s(32,24,28)s(40,40,20)c(32,24,12)++s(32,48,12)c(16,24,12)+*
s(32,16,12)t(24,32,28)+c(40,24,20)s(32,24,20)*s(40,32,20)*-
s(48,32,20)s(32,32,12)-c(40,24,20)t(32,32,28)-s(32,32,20)++
s(32,48,20)t(24,32,28)s(24,48,20)+*c(40,32,20)+c(24,40,20)*
t(32,40,28)t(24,40,12)-s(40,32,20)t(32,40,28)*s(32,24,28)**
t(48,16,12)t(32,32,28)s(48,40,12)-c(32,32,20)s(16,40,12)-*+
s(48,48,12)s(32,40,28)s(32,32,12)-s(16,40,20)-+s(40,40,20)*
t(32,56,12)s(16,32,20)s(32,32,28)s(48,24,20)*+s(24,16,20)*+
s(24,24,20)c(16,32,12)-c(48,48,12)s(40,32,20)+c(16,48,12)++
c(48,48,12)s(40,8,12)+s(32,40,12)+s(24,40,28)-t(48,48,12)-
t(24,48,28)s(48,32,20)c(24,40,20)+*c(40,40,12)-s(8,16,12)+
s(32,40,20)s(48,24,20)c(32,32,12)-c(40,24,20)s(32,24,20)*++
s(40,40,28)s(32,40,20)s(48,48,12)+t(32,32,20)t(24,48,20)-+-
t(32,40,28)s(24,48,12)-s(32,48,20)s(40,40,28)*+c(16,48,12)-
s(32,40,28)c(24,40,20)s(16,24,20)t(24,32,12)--s(16,40,20)**
c(32,32,28)c(24,24,20)-s(40,40,20)s(40,32,20)s(32,40,28)*+-
s(24,40,28)s(40,48,20)s(32,40,28)c(16,24,12)-*t(16,16,12)++
t(24,48,28)s(40,40,28)+s(48,24,12)-s(40,40,28)t(32,40,28)*-
s(40,40,20)t(16,40,12)s(40,32,20)c(40,48,12)-+t(32,16,12)-+
s(24,48,20)t(32,24,12)+s(40,32,12)-s(24,40,12)t(32,24,20)+-
t(24,40,28)s(32,32,28)t(24,32,20)-s(48,32,12)-t(16,48,12)-+
c(24,32,12)s(48,32,20)+s(32,24,28)s(16,32,20)s(24,16,20)+*-
s(40,16,20)t(16,24,12)t(24,48,28)+t(24,32,28)-c(32,32,12)+-
s(8,40,12)s(32,40,20)t(32,32,20)*s(32,40,20)t(24,40,28)*++
s(32,48,20)c(32,24,20)+s(16,32,20)+s(32,48,20)-t(32,32,20)-
s(8,24,12)s(24,24,20)+s(24,40,20)s(16,40,20)s(40,48,12)+*-
s(16,24,20)c(32,32,20)s(32,40,20)*c(40,32,20)+s(48,40,20)--
c(48,32,12)s(48,40,12)s(24,40,28)+c(32,32,20)*s(40,40,28)*+
s(32,48,12)t(48,32,12)+s(40,40,20)s(24,32,12)-+s(16,48,20)-
s(32,48,12)s(40,24,28)s(32,16,20)-+s(24,40,20)s(32,16,20)--
c(32,32,20)c(48,16,12)-t(48,40,12)-c(40,40,20)+s(24,32,28)*
t(40,56,12)s(32,24,28)c(40,24,20)*t(32,32,12)-c(40,32,20)*+
s(40,48,20)s(16,24,12)s(24,48,20)+t(24,32,28)s(24,40,28)**-
s(40,40,28)s(32,8,12)c(16,24,12)+c(32,32,20)s(24,48,20)*+-
s(32,24,28)c(24,40,20)*s(24,24,28)s(32,40,20)--s(32,24,20)+
c(24,40,20)s(32,32,28)s(48,16,20)-s(40,32,20)+s(32,48,12)-*
t(24,32,20)s(8,8,12)c(16,40,12)++s(24,24,12)c(24,32,12)+*
s(40,32,28)t(24,24,20)+s(16,24,20)c(24,24,20)*c(16,16,12)+*
s(24,40,28)s(48,32,20)t(24,32,28)-s(16,16,20)s(48,48,20)++*
s(40,40,28)t(32,32,20)t(16,56,12)s(16,32,12)++s(32,48,20)+*
s(24,24,28)t(16,16,12)-s(40,24,12)c(16,40,12)+*c(24,16,12)+
s(16,32,20)s(40,40,20)c(40,32,20)*t(24,32,20)+s(32,24,20)--
t(32,32,20)c(40,32,20)c(32,40,20)**t(32,40,28)c(40,24,12)-+
s(24,32,28)s(32,24,28)c(32,24,20)t(16,48,12)+*c(40,32,20)**
t(32,24,20)c(40,32,12)c(24,40,20)++s(24,24,12)-s(24,48,20)*
s(40,24,28)s(40,40,20)s(16,40,20)c(16,48,12)c(24,24,12)+*+*
c(16,40,12)s(40,48,20)t(24,56,12)-t(40,40,20)*+s(40,32,20)+
s(32,32,20)t(24,56,12)+s(32,40,20)*c(32,48,12)-s(48,8,12)+
s(32,32,20)s(16,16,12)s(24,24,12)s(40,16,20)+s(48,32,12)-+-
s(32,40,20)s(40,24,12)-c(40,24,20)s(24,32,20)-s(48,8,12)--
s(32,32,28)c(48,48,12)+s(48,48,20)-s(24,32,12)s(40,16,20)+*
t(24,48,12)c(32,32,20)s(8,32,12)+t(16,48,12)c(24,24,20)+-+
t(24,40,28)s(24,24,28)s(40,24,28)*+s(48,16,20)t(16,48,12)+*
s(24,32,12)s(40,24,20)s(40,16,20)*+s(24,24,28)*t(16,16,12)+
c(32,32,28)c(32,24,20)c(16,24,12)-c(24,24,20)s(32,40,28)*+-
c(32,32,20)s(32,24,20)s(40,40,20)+*s(32,40,20)*t(32,24,12)-
s(32,40,20)c(40,24,20)s(32,32,12)c(16,48,12)+s(24,32,20)*-+
s(16,48,20)c(32,24,20)-s(40,48,20)+c(40,40,20)s(40,48,12)--
s(48,48,12)s(48,8,12)t(40,56,12)++s(40,48,20)*t(16,40,12)+
s(16,24,20)s(24,40,20)s(8,40,12)+s(32,24,20)t(32,32,20)*--
t(24,32,28)c(40,24,12)-c(32,32,20)s(40,40,28)s(48,16,20)+**
s(24,40,28)s(48,48,20)s(32,32,28)+*t(32,40,28)*s(16,24,20)-
c(24,40,20)s(24,40,28)s(32,24,28)t(32,32,28)t(40,40,20)*--*
s(32,24,28)s(48,40,20)c(48,48,12)-s(24,32,28)t(24,40,28)*+*
s(40,40,20)c(40,16,12)c(24,24,20)s(32,40,28)*+-c(24,24,20)+
t(24,32,20)s(8,8,12)s(32,32,20)+c(32,32,28)**t(32,16,12)+
c(32,32,28)s(40,32,12)-s(32,40,20)-c(40,40,20)-c(16,16,12)-
t(16,32,12)t(32,24,12)+s(16,48,20)t(24,32,20)-+s(32,48,20)-
s(48,24,12)c(24,40,20)s(32,24,20)++t(32,32,12)-s(24,40,12)-
s(24,32,28)c(40,48,12)+s(40,24,20)+s(48,40,20)-t(32,48,20)-
s(32,48,20)t(32,40,20)-t(32,16,12)+s(48,32,20)c(32,32,20)*-
c(24,40,20)t(24,48,20)t(40,32,20)+t(24,56,12)-t(32,24,12)-*
c(16,16,12)s(40,8,12)s(24,40,28)c(40,40,20)-+s(16,40,12)-+
t(24,40,28)s(24,24,28)t(16,40,12)c(40,24,20)+*-s(16,40,20)+
s(40,32,28)s(40,48,20)s(40,8,12)+-s(16,40,20)-c(32,24,20)*
s(48,24,20)s(40,48,20)s(32,16,12)t(24,40,28)s(16,40,20)*++-
s(40,24,28)s(32,24,20)-c(48,32,12)-c(48,24,12)c(48,16,12)++
t(32,32,28)c(32,48,12)c(40,32,12)s(48,32,12)++-s(16,24,12)-
s(40,48,20)c(32,40,20)t(24,32,28)s(32,32,20)*s(40,32,12)-*-
t(24,40,28)s(40,40,20)+t(40,32,20)-c(32,32,20)t(32,40,28)*-
c(24,32,20)c(24,40,12)-t(24,40,20)+t(40,40,12)-s(32,32,28)*
s(32,32,20)s(24,24,28)s(16,32,20)s(40,40,28)t(24,48,28)*+**
s(24,48,12)s(40,32,12)c(24,24,20)t(40,24,20)-t(40,56,12)+++
s(16,40,20)s(32,16,12)+c(32,24,20)s(40,8,12)+t(48,24,12)-*
c(24,32,20)s(24,40,28)s(24,40,20)t(32,32,28)t(40,32,20)*---
s(40,32,20)t(24,48,20)t(32,40,28)s(16,32,20)+s(48,40,12)-*-
s(32,24,28)s(32,16,20)s(32,40,20)--c(24,48,12)+c(40,40,20)-
s(16,32,20)s(8,48,12)-s(32,40,28)s(40,40,28)*+s(32,16,20)-
t(40,16,12)t(32,48,28)c(32,40,20)s(24,24,28)*++s(40,16,20)-
s(8,16,12)t(40,32,12)c(40,40,12)+s(24,40,20)+s(24,8,12)++
c(24,40,20)s(32,16,20)s(24,16,20)t(16,48,12)+*-t(40,48,12)-
s(24,32,20)t(24,40,20)*s(32,48,20)s(8,8,12)c(32,40,12)+-+
s(40,24,20)c(48,32,12)-c(32,24,20)s(24,40,28)*+s(16,32,12)+
s(24,32,20)s(24,16,20)*s(16,32,12)c(16,24,12)+t(16,40,12)-+
t(40,32,12)c(32,32,20)s(24,24,20)-+c(24,32,20)c(24,16,12)+*
t(32,48,20)s(24,16,20)+s(40,32,28)t(32,24,20)*t(40,40,20)+*
c(24,32,20)c(32,24,20)+c(32,32,20)c(40,40,20)c(24,24,12)---
c(48,48,12)s(32,32,20)c(24,32,20)s(48,32,20)-+c(24,40,20)*+
s(32,40,20)c(16,48,12)+c(48,32,12)s(24,32,20)+t(24,40,28)-+
s(40,32,20)s(24,48,20)s(16,48,20)*s(32,40,20)s(40,8,12)++*
t(24,48,28)t(32,48,28)c(40,24,12)t(40,48,12)++*s(32,32,20)+
c(40,32,20)c(24,24,12)-t(32,40,28)t(40,32,12)-c(16,32,12)--
c(16,40,12)t(40,56,12)c(24,24,20)t(32,40,28)s(24,40,28)**++
t(24,40,28)s(32,32,28)t(40,48,20)-c(40,16,12)-*t(32,40,12)-
s(40,24,28)s(40,32,28)t(24,32,12)-s(24,16,20)-+c(32,24,20)-
t(32,40,28)s(40,40,20)*s(24,32,20)+s(24,24,28)*c(24,40,20)*
s(32,40,12)s(32,16,20)+s(40,40,12)t(48,24,12)+s(16,32,20)+-
c(48,40,12)t(40,40,20)+c(40,40,12)t(24,40,20)t(32,16,12)++*
s(24,32,20)c(24,24,20)s(24,48,20)+s(16,40,12)-s(32,48,20)-*
c(16,16,12)s(8,8,12)+s(24,48,12)s(24,16,12)+t(16,40,12)++
c(24,24,20)s(32,24,20)*s(16,16,12)+s(16,24,20)+t(24,40,28)-
s(16,32,20)t(24,32,28)c(48,40,12)s(16,48,12)+++s(8,8,12)+
t(16,16,12)s(40,32,20)s(32,40,28)*s(24,32,28)+s(40,24,28)-+
s(24,48,20)s(24,24,28)c(32,24,20)s(24,40,28)s(16,32,20)*-+-
c(24,40,12)t(32,24,12)s(16,24,20)s(24,40,12)t(32,24,12)+-++
s(40,32,28)t(16,24,12)t(32,48,28)+t(32,16,12)+s(40,24,20)-*
s(40,32,28)s(32,40,12)-c(16,48,12)c(32,32,20)+c(40,16,12)-*
s(48,40,20)t(24,48,28)t(16,56,12)s(40,48,20)+*s(24,40,12)--
s(32,40,20)s(24,32,28)t(32,24,20)-t(24,48,12)-t(24,32,20)+*
s(32,32,20)t(40,24,12)-t(16,24,12)s(24,48,20)c(40,24,12)++*
t(24,56,12)t(16,24,12)s(16,40,12)+s(24,24,28)*+t(24,40,12)-
s(40,32,28)t(24,24,20)c(32,24,12)+*c(40,40,12)-t(48,56,12)+
t(24,40,28)s(40,24,28)*c(32,32,28)s(16,24,20)*+t(16,32,12)-
t(40,56,12)s(48,32,20)s(16,40,20)+s(40,24,12)-t(24,32,20)*+
t(24,32,28)t(32,32,28)c(32,32,28)c(16,48,12)-*s(32,40,20)**
t(48,48,12)c(32,24,20)t(32,24,20)s(32,40,28)*-+t(40,32,20)+
s(32,48,20)s(40,32,28)s(32,40,20)*+c(32,40,20)t(32,32,28)*-
s(32,40,20)c(32,24,20)c(32,32,20)+s(24,32,20)-+s(48,48,12)-
s(40,24,28)t(32,40,28)*t(32,32,28)t(40,24,12)-*t(48,40,12)-
s(40,24,28)c(32,32,20)*t(32,32,28)t(32,40,28)*s(8,16,12)+*
c(40,32,20)s(40,40,12)c(32,32,12)+c(32,48,12)+*s(40,24,12)-
t(16,16,12)s(24,24,12)s(48,8,12)+c(40,40,12)s(48,32,12)+++
s(40,40,20)s(24,40,28)+t(16,40,12)t(32,24,20)t(48,40,12)++*
s(32,32,20)c(32,32,20)c(40,16,12)-c(24,24,20)s(40,16,12)+**
s(32,24,28)c(24,24,20)c(32,40,12)-*s(32,40,12)+t(24,48,28)-
c(40,24,20)t(40,40,20)-s(40,40,20)s(24,40,28)*+s(48,16,20)*
c(48,48,12)c(32,32,20)t(32,32,28)*t(24,32,28)c(40,24,20)--+
s(24,40,28)t(24,32,28)t(40,48,20)-t(32,40,12)-+c(40,40,20)*
s(32,24,28)s(24,40,12)-c(32,40,12)t(16,16,12)+-t(40,16,12)-
s(24,40,28)s(48,40,20)s(16,40,20)s(40,48,12)+t(32,32,28)*+*
s(24,48,20)c(40,40,20)c(40,48,12)s(16,32,12)+-t(32,40,12)--
t(40,16,12)s(32,40,28)s(40,16,20)-s(48,16,20)s(24,24,28)+*+
s(32,24,20)s(40,24,28)s(40,40,28)s(48,24,20)--*c(32,32,20)*
s(16,40,20)s(40,32,20)c(40,40,20)t(24,48,28)*-+s(32,24,20)*
t(40,32,12)c(24,32,12)+t(24,40,28)s(16,16,20)c(48,16,12)+-+
s(48,48,20)t(24,32,28)c(40,24,20)*-c(16,16,12)t(24,40,28)+-
c(40,32,20)c(40,40,20)c(32,32,28)t(24,24,20)-*c(40,32,12)-*
c(32,24,20)s(32,24,28)s(48,16,20)c(32,32,28)*-*s(16,32,12)-
s(32,24,20)s(32,24,12)t(32,48,20)+c(16,24,12)+*s(32,48,20)+
c(16,24,12)t(24,40,28)c(24,32,20)*t(32,48,28)*+s(24,24,28)*
s(24,8,12)s(48,32,20)+c(40,32,20)s(16,48,12)+t(48,32,12)-*
s(24,40,20)t(16,48,12)s(32,32,28)s(24,40,28)*s(24,32,20)*+*
s(40,32,28)s(40,16,20)*s(24,24,28)+s(24,40,28)c(32,32,20)**
s(16,40,20)s(32,48,12)-s(32,32,20)t(32,48,28)*-t(16,24,12)-
c(40,24,20)t(32,40,20)s(40,40,20)+c(32,32,12)--t(48,16,12)-
s(32,16,12)t(24,32,20)+c(32,32,20)t(16,48,12)c(16,16,12)+-*
s(24,40,20)c(40,24,20)s(40,32,12)-t(24,32,12)++s(24,24,20)*
s(8,16,12)t(40,32,12)+c(32,32,28)s(24,40,28)*s(32,24,20)*+
c(32,40,20)s(40,32,20)c(32,32,12)s(32,48,20)+t(24,32,20)-+*
c(32,24,20)s(40,24,28)t(24,32,28)*t(24,32,28)c(24,32,20)**-
s(32,24,28)s(16,40,20)-s(40,16,20)c(32,32,20)*t(16,16,12)+*
s(40,32,28)s(40,16,20)*c(40,32,20)s(32,32,20)*+t(32,24,20)*
s(32,40,28)c(32,40,20)s(40,40,28)*c(24,40,20)s(40,24,28)---
s(32,32,28)c(32,32,28)s(40,48,12)-*s(40,48,20)t(24,16,12)+-
s(16,48,20)s(40,32,28)s(8,16,12)c(40,40,20)c(40,32,20)*+*+
s(40,40,20)s(32,16,12)+s(32,16,12)-t(24,32,28)s(24,24,20)+-
s(16,16,20)c(40,24,20)c(32,40,20)t(40,24,20)t(24,32,20)+**+
s(16,32,20)t(24,32,28)t(24,48,12)s(48,40,12)s(32,48,12)++-*
s(24,40,20)s(32,24,28)t(24,24,12)-s(24,48,12)+t(32,40,12)-*
c(24,48,12)s(24,16,20)c(24,24,20)*+t(32,32,20)-s(24,24,20)*
s(24,24,28)s(48,40,20)s(32,8,12)+s(32,32,12)-s(8,40,12)+*
t(40,48,20)t(48,40,12)+t(40,24,20)s(40,48,20)+t(48,32,12)-*
c(24,32,20)c(24,24,20)t(32,48,28)+c(40,16,12)-*c(24,16,12)-
c(32,24,20)t(32,48,28)c(40,40,12)--t(24,32,20)-c(32,24,12)-
s(8,8,12)s(24,24,28)s(16,32,20)*+t(24,40,28)c(32,32,12)--
s(48,32,20)s(32,8,12)c(40,32,20)s(48,40,20)*s(32,32,12)++*
s(24,32,28)t(48,40,12)s(32,48,20)+s(24,32,12)-t(40,56,12)--
s(24,40,28)s(40,32,12)s(16,40,12)+s(16,24,20)--t(32,56,12)-
s(40,48,12)s(8,8,12)s(40,24,28)+c(40,32,20)*s(48,32,20)*+
t(32,40,28)c(48,32,12)-s(16,48,20)s(16,24,12)+t(32,48,28)+*
c(48,24,12)t(24,24,20)t(24,48,28)s(16,24,20)+*+s(16,8,12)+
c(40,40,20)t(24,48,20)c(40,24,20)t(24,16,12)t(48,16,12)+-+*
t(32,48,28)t(24,32,28)c(24,32,20)*s(48,40,20)--s(32,24,28)-
t(32,40,28)s(16,32,20)c(40,48,12)+*t(32,40,20)t(24,48,20)+*
c(24,32,20)s(32,16,20)+s(32,32,12)s(32,40,28)s(16,48,20)*+*
s(40,48,20)s(32,16,12)+t(24,16,12)-s(24,16,20)t(40,32,20)+*
s(40,16,20)s(16,24,20)-t(24,48,20)+s(40,24,12)-s(24,32,20)-
s(40,40,20)s(40,32,20)*s(48,32,20)*s(48,8,12)+s(40,8,12)-
s(24,40,28)s(16,24,20)c(32,32,20)s(32,24,20)-+c(32,32,28)**
s(24,24,12)s(40,40,20)+t(40,48,20)t(32,32,20)+c(40,24,12)+*
s(24,24,28)s(48,16,20)t(32,40,20)c(32,16,12)+s(40,32,20)*-+
s(24,24,20)s(32,48,20)-s(40,32,28)s(48,24,12)-s(24,48,20)+*
c(32,24,20)s(16,16,12)-s(40,48,12)+c(24,24,20)s(32,40,28)*-
c(32,32,28)s(16,40,20)t(24,32,20)--s(48,24,12)-c(16,24,12)-
s(48,32,20)s(32,24,28)s(40,8,12)-c(40,24,20)*t(48,24,12)-+
s(32,48,20)s(8,32,12)+s(24,32,28)-c(32,24,12)+t(40,24,20)-
s(40,24,28)s(48,40,12)c(40,24,12)+-s(32,40,20)t(24,24,20)-+
t(32,24,20)s(40,40,12)-s(24,40,20)+t(24,40,28)s(24,16,20)-*
t(32,40,20)s(8,32,12)+s(32,48,12)-s(32,32,20)+s(24,40,20)*
s(16,8,12)c(32,16,12)+t(40,56,12)+c(32,24,20)t(48,56,12)+*
c(32,40,20)s(8,8,12)+t(32,48,28)*s(32,48,20)s(16,8,12)+*
s(40,40,20)c(32,32,20)c(40,48,12)--c(32,24,20)c(48,32,12)--
s(40,40,28)s(24,16,20)s(24,40,28)+*s(32,24,12)s(40,32,12)+-
s(32,40,28)s(40,8,12)+c(24,48,12)s(24,40,28)c(32,40,20)-+*
t(48,24,12)s(24,32,20)+s(40,40,28)*t(24,48,20)-s(24,16,12)-
t(32,48,28)c(40,24,20)t(40,24,20)c(40,40,20)+s(24,48,12)-*-
c(32,24,20)c(24,32,20)s(8,40,12)t(32,40,20)+*s(16,48,12)+-
t(16,48,12)c(32,32,28)t(40,48,20)*+c(40,40,20)s(16,16,20)+*
s(24,24,28)s(16,32,20)-t(40,24,20)-s(48,32,20)t(40,16,12)--
s(8,40,12)s(32,32,20)s(40,32,20)++t(40,40,20)-c(24,24,12)+
t(32,24,20)s(48,32,12)s(24,24,28)t(24,32,12)-+s(40,24,28)**
t(32,48,28)s(24,32,28)c(40,40,20)t(40,56,12)-+s(8,32,12)--
s(40,32,20)t(48,40,12)-t(48,16,12)s(24,40,28)+c(24,40,20)--
s(40,24,28)t(24,40,20)-c(16,32,12)s(16,40,12)++s(24,32,28)*
s(16,24,20)t(40,32,20)+t(40,16,12)t(32,40,12)+c(40,40,20)+-
s(48,16,20)s(48,24,20)*t(40,16,12)c(48,24,12)s(32,48,12)++*
s(40,40,28)t(16,56,12)s(16,48,12)t(48,48,12)++t(40,48,12)--
s(40,16,20)t(32,40,28)s(24,40,28)*s(16,24,12)++c(40,40,20)-
t(24,48,28)s(32,32,12)-s(8,8,12)+c(24,24,20)-c(32,48,12)-
s(32,24,20)c(40,40,20)c(48,40,12)s(24,8,12)+-s(40,40,12)-+
t(32,48,28)s(40,48,20)t(32,48,28)*t(24,48,12)-t(48,24,12)+*
c(24,24,12)s(40,16,20)c(40,24,12)-s(48,32,20)+t(48,48,12)++
t(48,48,12)s(24,32,28)c(32,24,20)*s(32,40,20)*+s(40,40,20)*
s(40,40,28)t(24,40,28)*c(40,40,20)t(32,40,28)**t(40,24,20)-
c(24,40,20)s(48,48,20)c(24,40,20)t(40,32,20)-+*s(16,24,12)-
t(32,48,20)c(40,32,20)s(16,32,20)-c(24,32,20)c(32,24,20)*-+
s(24,24,20)s(16,8,12)t(24,32,28)c(16,40,12)-c(24,40,20)*+*
s(32,16,20)s(24,32,20)t(24,24,12)-+s(16,40,20)+c(16,24,12)-
t(24,48,12)s(32,16,20)c(24,32,20)*+s(48,32,12)t(40,40,20)+-
s(32,24,28)s(32,8,12)-s(32,40,28)s(40,48,12)-s(32,32,20)+*
s(32,32,28)c(24,16,12)-t(24,24,20)-t(24,32,28)s(8,8,12)+-
s(16,24,20)s(16,24,12)-t(32,32,28)+t(24,32,28)*c(16,40,12)+
s(32,24,12)s(16,48,20)c(32,24,20)-+s(32,40,20)-s(40,24,12)-
c(32,40,20)s(16,32,20)s(32,32,20)*-s(32,16,20)s(32,32,28)*-
c(32,32,20)t(32,40,28)c(24,24,12)-*s(24,24,20)+s(48,16,12)+
c(16,48,12)c(24,48,12)+c(40,16,12)+c(16,24,12)+s(40,32,28)-
c(32,24,20)s(24,32,20)s(24,24,28)s(32,32,28)*s(8,16,12)+**
s(24,32,20)t(32,24,20)-s(32,48,20)+s(32,32,28)*t(40,56,12)+
s(24,40,28)c(32,32,20)*s(32,48,20)+c(24,32,20)c(40,24,20)+*
t(24,40,28)s(48,48,20)-c(32,32,28)t(24,24,20)t(32,56,12)+-*
c(32,32,28)c(32,32,28)c(40,40,20)-c(48,24,12)s(8,24,12)++-
s(32,48,20)c(16,48,12)s(32,16,20)+t(40,24,20)+-t(40,32,12)-
s(24,40,28)t(24,32,28)-s(40,48,20)-t(24,32,28)+t(32,48,28)*
c(24,24,20)s(40,32,12)-s(40,16,12)s(40,40,12)+-t(24,32,20)*
c(32,48,12)c(24,24,20)c(24,40,12)-+s(40,16,20)t(32,48,20)++
s(40,24,20)c(40,40,20)-c(24,24,20)c(24,24,12)-+s(24,40,20)-
c(40,24,20)s(32,24,28)c(40,24,12)-s(40,24,28)*c(32,40,20)--
s(40,40,28)s(24,24,28)s(32,32,12)--c(40,24,12)-s(40,24,28)*
t(32,40,28)s(32,32,20)t(24,32,20)+t(40,40,20)++s(40,32,12)-
c(24,32,20)t(32,24,12)-t(40,48,20)s(48,48,20)*+s(32,24,20)-
t(40,48,12)t(48,16,12)t(32,32,28)+t(48,32,12)s(32,8,12)+-+
s(40,40,28)s(48,32,20)-c(32,40,20)*t(24,24,12)+s(16,24,12)-
s(24,24,28)c(40,32,20)c(48,16,12)t(32,32,12)++t(32,40,28)**
s(48,16,20)s(16,16,12)s(48,32,20)+-s(16,40,12)+c(24,32,12)+
s(24,24,20)c(40,32,12)t(32,48,28)+c(40,16,12)+s(24,40,20)*-
c(32,40,20)c(40,24,20)s(16,40,20)++s(8,48,12)-s(40,40,28)*
c(24,24,20)s(40,32,20)s(32,48,20)t(24,48,12)--t(40,32,12)--
c(40,24,12)t(48,48,12)+t(40,32,12)c(24,32,20)t(24,32,20)-++
s(24,24,28)s(40,32,20)s(24,40,28)+s(32,32,28)s(24,40,28)*-+
c(32,32,28)s(16,48,20)s(16,40,12)--t(16,24,12)-t(40,32,20)-
s(32,48,12)s(32,24,20)+t(40,24,20)-c(24,40,12)-s(40,32,12)-
s(24,32,20)s(32,32,20)*s(32,24,12)+s(48,48,20)-s(32,40,12)-
s(48,24,20)s(40,24,20)*c(24,48,12)+c(16,48,12)+t(40,32,20)-
s(32,48,20)s(32,40,20)t(24,40,12)-s(48,16,12)+s(16,24,20)-*
s(16,24,20)s(48,48,12)+s(24,24,20)s(16,40,12)-s(40,16,12)+-
c(24,16,12)t(32,40,28)+c(24,24,20)s(40,32,28)+*s(32,40,28)*
s(32,40,20)c(32,16,12)t(24,32,20)+s(24,40,28)*s(24,40,20)+*
c(40,40,20)t(32,32,20)*s(24,16,20)+s(16,40,20)t(16,32,12)--
c(32,40,20)s(24,40,28)+s(40,24,28)t(24,32,28)*t(32,24,20)+*
s(40,32,28)s(32,40,20)t(48,24,12)c(16,24,12)++s(24,40,20)+-
c(24,32,20)s(40,48,20)-c(24,40,20)c(40,40,20)t(48,40,12)--*
s(32,24,20)s(16,24,20)+s(32,32,28)s(40,32,28)*-s(32,24,20)-
c(32,24,20)t(40,48,20)-t(32,32,28)+c(48,32,12)-s(40,40,28)*
s(40,32,28)s(32,24,20)t(40,40,20)+c(48,48,12)-+c(48,24,12)-
t(16,24,12)s(48,40,12)s(24,40,12)++t(32,40,20)t(32,48,12)--
t(48,48,12)c(32,24,20)s(40,40,20)s(32,40,20)+*+t(40,48,20)-
s(16,40,20)s(8,16,12)t(32,32,28)s(40,32,12)-+s(48,32,12)+-
s(40,32,12)s(40,48,20)s(16,24,20)+s(16,24,12)-+t(40,24,20)+
s(32,40,20)s(32,48,20)*s(16,40,20)+c(24,24,20)-s(16,48,20)+
s(16,40,20)t(32,32,20)-c(24,32,20)c(32,24,20)s(16,32,20)*-+
s(48,40,12)c(16,48,12)+c(32,40,20)+s(8,40,12)t(24,32,20)+*
t(40,32,20)s(40,24,20)t(32,24,12)-+s(24,24,12)c(48,32,12)+*
t(24,32,20)c(16,40,12)+s(16,40,20)c(40,24,12)t(32,48,20)+-*
c(40,40,20)s(40,32,28)*c(32,32,20)s(16,32,20)-*t(32,48,12)-
s(24,24,28)c(32,48,12)c(24,40,12)+c(32,32,20)+s(24,16,20)-*
s(40,48,20)t(32,56,12)t(32,48,20)++c(40,40,20)c(32,40,12)--
c(16,16,12)s(48,40,20)s(40,24,28)*+c(24,40,20)+s(24,16,20)*
c(24,48,12)t(32,40,20)s(24,40,20)t(24,40,28)s(8,8,12)+**+
s(24,40,28)s(24,16,20)s(40,32,20)-+s(24,32,20)s(32,16,20)+*
s(40,24,20)t(32,40,20)s(24,40,28)t(32,48,12)-c(32,24,20)-+-
s(40,24,12)t(32,48,20)t(40,32,20)s(32,24,20)+s(48,24,20)-++
s(16,16,20)s(16,40,12)s(16,24,20)+c(24,32,20)s(48,24,20)-*-
t(16,48,12)s(24,24,20)c(24,24,20)s(32,16,20)*-c(48,48,12)++
s(16,48,20)t(24,32,20)+s(40,24,28)s(48,40,12)c(40,32,12)+*-
t(24,48,20)t(32,32,28)s(32,32,20)t(32,40,12)-s(40,24,12)---
s(32,32,20)s(40,32,28)t(32,40,28)s(40,48,20)**-s(16,24,12)-
s(32,32,28)s(48,24,12)-s(24,24,20)c(40,32,12)-c(40,24,12)-*
s(32,48,20)c(40,40,20)s(16,40,20)s(8,48,12)-+*s(16,48,20)-
s(24,32,28)s(24,40,28)s(40,40,28)*-t(40,40,12)s(16,24,20)+*
c(40,32,20)s(32,24,28)s(48,32,20)c(32,16,12)+c(32,40,20)-*-
s(48,32,20)s(32,32,12)+t(40,40,20)t(32,24,12)+s(40,32,20)**
t(16,48,12)c(32,24,12)s(8,24,12)s(48,24,20)++t(32,24,20)*+
t(24,40,20)s(40,24,12)t(24,40,28)t(40,40,12)+s(40,24,20)-+*
c(32,32,28)c(48,32,12)-c(40,32,20)s(48,24,12)s(16,8,12)+-*
c(24,32,20)s(8,24,12)-s(48,40,20)-s(40,24,28)t(32,32,28)*-
c(32,24,12)t(32,32,20)s(40,48,20)c(24,48,12)-+s(32,48,20)*+
t(32,32,12)s(32,32,20)s(32,24,20)*s(16,32,12)+t(40,32,20)-+
s(48,32,12)t(24,40,28)+c(40,32,20)s(48,24,12)-+s(48,24,20)*
s(32,24,20)c(32,24,20)t(16,40,12)t(40,24,12)+-s(32,16,20)--
t(32,48,28)s(32,24,20)s(40,24,20)s(48,24,20)*-+c(40,24,20)*
s(32,40,28)t(24,40,20)t(32,48,28)+c(32,32,12)-s(24,48,12)-*
s(40,40,28)s(16,24,20)t(48,40,12)+t(24,32,20)-+s(48,48,20)*
s(40,32,20)s(24,40,28)*t(24,48,28)c(16,32,12)+t(32,48,20)*+
s(40,40,28)t(32,48,28)*s(32,32,20)s(24,40,28)c(32,32,28)***
t(32,40,28)t(16,24,12)s(32,16,20)+-s(24,16,12)+s(16,32,20)-
c(32,32,12)s(24,24,28)t(40,40,20)-+c(24,16,12)-t(40,32,20)+
s(48,48,20)c(40,40,20)c(32,24,20)s(24,8,12)-*-s(24,16,12)+
c(32,40,12)c(16,16,12)s(24,40,28)+c(32,32,20)-+s(16,8,12)-
t(40,48,12)s(24,32,20)c(40,40,20)c(32,40,20)+*s(40,16,20)++
c(48,40,12)t(32,48,20)s(40,24,28)+s(24,40,28)*+t(24,40,12)-
t(16,48,12)s(40,48,20)c(32,32,28)*s(8,40,12)++t(32,48,20)*
s(48,40,12)c(24,48,12)s(16,24,20)+s(40,24,12)++t(40,40,20)*
t(24,40,28)c(48,16,12)c(24,40,12)+s(32,8,12)+c(16,32,12)--
s(40,32,28)t(16,40,12)+s(16,24,20)s(40,24,20)+*c(40,40,20)-
s(16,8,12)c(32,24,20)+t(24,32,20)t(32,56,12)+s(24,24,28)**
c(24,40,20)s(48,40,12)t(24,48,20)+c(40,40,20)*t(32,56,12)+-
t(24,24,12)c(40,40,12)c(16,16,12)++s(16,24,20)-s(48,48,20)+
s(40,24,28)t(24,32,20)s(32,32,28)s(32,16,20)+s(48,24,20)*+*
s(40,16,20)s(40,48,20)c(32,40,20)*t(24,48,12)-+s(32,24,28)+
s(32,32,20)s(40,32,28)s(16,40,20)s(24,32,20)*-*c(32,48,12)-
c(24,40,20)s(32,32,28)s(32,40,12)-s(32,24,20)*+c(40,24,20)*
c(32,32,28)s(24,32,28)-c(16,40,12)+s(24,40,12)t(48,24,12)++
s(16,40,20)t(40,32,20)+s(40,40,20)s(16,16,20)t(40,48,20)+*+
s(24,40,28)s(32,24,12)-s(24,40,20)*s(32,40,28)s(16,40,20)--
s(24,24,20)s(40,32,20)c(24,32,12)--t(40,32,20)-c(24,24,12)+
s(32,40,28)t(32,32,28)c(24,48,12)t(40,56,12)++*s(24,32,20)*
s(16,32,12)t(32,48,20)c(32,16,12)+t(48,48,12)+t(32,40,28)*+
t(40,32,20)s(48,16,20)c(16,40,12)+s(24,24,28)*s(48,40,20)+*
c(32,40,12)c(32,48,12)t(24,24,12)++s(40,32,28)t(48,56,12)++
c(32,32,28)s(48,32,20)-s(24,32,28)*c(32,40,12)-c(24,16,12)-
s(40,16,20)c(24,40,20)t(32,40,20)s(48,16,12)+s(40,40,28)+*-
s(48,16,20)s(24,24,20)s(24,40,28)*+s(32,32,20)*c(24,24,12)+
c(24,40,20)c(32,32,28)s(24,40,28)c(24,24,20)*c(32,32,20)*-*
s(40,32,28)c(32,32,28)s(40,24,12)-s(16,32,12)--s(40,32,20)+
s(32,32,28)s(32,40,28)t(48,16,12)+c(48,24,12)-s(40,48,12)-+
s(32,48,20)s(16,40,20)+c(40,32,12)-s(24,40,20)+c(40,32,12)-
t(40,24,20)c(32,40,12)+s(24,40,12)-s(40,24,20)s(32,40,12)-*
c(24,48,12)s(40,8,12)t(40,40,12)++s(16,32,20)s(32,40,20)++
s(32,40,28)s(24,40,20)s(40,48,20)c(48,48,12)-c(48,16,12)+--
t(24,40,28)s(32,40,20)+s(40,24,12)c(48,16,12)s(16,16,20)+++
s(24,32,20)s(32,24,12)t(24,32,28)s(32,24,12)-+c(40,48,12)-+
t(40,40,20)t(32,24,12)+t(32,32,28)t(32,48,28)-s(48,48,20)++
s(16,40,12)c(40,24,20)c(40,24,12)-s(32,16,20)s(40,24,20)--+
s(32,24,20)c(24,40,20)c(48,48,12)+s(8,32,12)-+t(24,32,20)*
c(40,24,12)t(24,32,28)c(16,48,12)-s(24,24,20)*+c(24,24,20)*
t(24,40,28)c(32,24,20)+s(24,48,12)-c(24,24,20)t(32,16,12)-*
s(40,24,28)c(24,32,20)s(8,24,12)-c(16,16,12)-c(40,24,12)-+
c(24,48,12)c(32,40,20)s(40,8,12)+c(40,40,20)*+s(40,40,28)*
s(16,16,20)t(24,32,20)s(32,40,20)c(24,32,12)-+s(32,48,12)--
s(32,24,28)c(32,32,20)t(24,32,28)**s(40,40,28)c(24,16,12)+*
c(40,48,12)c(32,24,20)+s(24,24,28)s(8,24,12)--s(24,24,20)+
s(24,24,20)c(32,24,20)s(40,16,20)s(48,32,12)-*+c(24,40,20)*
t(40,48,12)c(40,24,20)t(40,40,20)-+c(40,32,20)*t(24,40,28)-
s(24,32,28)t(32,24,12)-s(40,16,20)-s(32,32,20)+s(40,24,20)+
s(32,24,12)t(32,48,20)s(32,24,20)-+s(32,48,20)c(48,48,12)--
t(40,32,20)s(32,16,20)+s(40,40,28)-c(40,24,12)-s(40,32,28)+
s(48,48,20)t(48,32,12)s(24,40,20)+s(16,40,20)+t(40,40,20)+*
c(40,24,20)c(32,40,20)s(32,48,20)c(48,24,12)s(48,48,12)+-+-
s(32,16,20)s(16,8,12)-c(32,24,20)c(40,24,20)t(24,48,28)+**
t(32,48,28)s(16,48,12)-s(16,40,20)+c(24,24,20)*s(24,40,20)*
c(32,32,20)s(24,32,28)*s(32,40,28)c(32,32,28)t(24,40,20)-*-
c(40,24,20)c(32,32,12)s(8,40,12)s(32,8,12)++s(40,16,12)-*
c(32,32,28)s(48,40,20)-s(40,24,20)-s(32,32,28)-c(24,32,12)+
t(24,32,28)s(32,32,28)*s(32,8,12)+t(32,32,12)-c(32,40,20)*
s(40,24,28)c(32,48,12)c(40,16,12)+s(32,40,20)+*s(16,24,12)+
t(24,32,28)s(24,40,28)s(16,48,20)*c(16,24,12)+s(16,48,20)*-
s(32,32,20)c(24,32,12)-t(32,40,28)s(48,32,20)s(40,40,28)*+*
s(48,16,12)s(24,40,20)+c(32,32,28)s(40,48,12)-s(24,32,12)-*
t(32,56,12)c(40,40,20)s(32,24,12)s(40,32,28)c(24,16,12)-+*+
s(24,40,28)s(16,48,20)*t(24,32,20)t(24,56,12)+s(16,32,20)*-
s(32,32,28)s(24,16,20)-s(24,48,12)-s(24,32,12)s(24,16,12)++
c(16,16,12)s(40,40,20)s(32,48,20)s(24,24,12)+*+t(32,40,28)*
s(32,40,28)s(40,48,12)s(24,32,28)c(24,40,20)*+s(32,40,28)*-
s(48,16,12)t(24,32,20)+s(40,32,28)s(24,24,28)c(24,40,20)**-
s(48,24,12)s(8,24,12)+c(24,32,20)c(32,32,20)s(16,16,20)-*+
t(32,40,28)t(40,40,20)c(16,40,12)+*s(48,16,20)+t(32,48,28)*
s(40,32,20)s(40,16,12)-c(32,24,20)+s(16,32,20)c(24,24,20)**
c(48,24,12)c(24,24,20)+s(16,32,20)t(24,24,12)s(16,40,20)+**
s(24,24,20)c(40,24,20)c(24,32,20)+t(40,16,12)-*c(32,32,20)+
s(24,24,20)s(32,32,20)s(16,16,20)c(32,32,28)*+*t(32,32,28)*
t(40,48,12)c(48,32,12)+s(40,16,12)+t(40,16,12)-s(40,24,28)*
s(16,48,12)s(48,48,20)s(24,24,28)-+c(24,16,12)+s(16,40,20)-
s(24,40,28)s(32,32,28)+t(32,32,20)-c(24,40,20)t(32,40,12)-+
c(24,24,20)s(40,32,20)*s(24,40,28)s(40,24,20)s(16,24,12)+-+
s(48,32,20)t(32,32,20)+c(32,32,20)s(24,32,20)t(32,48,28)+**
s(16,8,12)s(32,32,20)c(24,40,12)s(8,48,12)+++t(24,32,28)*
c(40,32,20)t(32,32,28)s(32,24,28)c(24,24,20)*+s(40,24,20)+*
c(40,32,20)t(24,40,12)-s(40,16,20)*t(32,48,12)+s(24,48,12)-
s(48,8,12)t(40,40,20)+s(8,8,12)+c(32,32,28)*t(24,48,28)-
c(32,40,20)c(32,32,12)c(24,24,20)s(48,40,20)-+s(48,24,20)+*
t(32,32,28)c(40,16,12)-s(32,32,20)s(40,16,20)+c(40,24,12)-*
c(40,24,12)t(32,48,28)t(40,24,20)-+s(48,32,20)s(16,40,20)+*
s(40,16,20)t(24,24,12)-s(40,24,28)*s(40,32,20)s(24,24,28)+*
t(24,24,20)t(32,40,28)t(24,48,20)t(16,16,12)+-s(24,16,20)-+
s(32,24,12)t(24,40,20)s(24,24,12)-+s(40,24,28)s(48,48,12)++
s(48,40,20)s(40,32,20)s(24,40,28)+t(40,40,20)s(48,24,20)+**
s(40,48,20)s(40,24,20)c(48,24,12)-+s(16,48,12)t(32,24,20)+-
s(32,16,20)t(40,32,12)+c(24,24,20)t(24,48,12)+s(24,16,12)--
s(40,32,28)c(40,24,20)t(24,40,28)+s(24,24,20)-*t(32,48,28)-
c(24,40,20)s(40,32,28)s(40,48,12)-*t(40,24,20)c(32,40,12)--
c(40,40,12)t(32,24,20)s(16,16,20)++s(24,32,20)*c(32,48,12)-
c(32,40,20)s(48,40,20)c(48,40,12)-t(24,32,28)+t(32,32,28)*-
s(24,16,20)c(16,16,12)s(24,40,20)c(32,40,20)t(32,40,12)-*+*
s(32,40,28)c(24,32,20)s(16,48,20)--s(40,40,28)s(24,48,12)-*
t(48,40,12)s(24,48,20)s(32,24,12)+s(40,40,28)*c(32,32,20)*+
s(48,48,20)c(24,24,12)+t(32,24,20)s(32,24,20)s(24,40,12)-*-
c(24,24,20)s(32,8,12)s(16,40,20)+t(32,32,28)s(32,48,20)*+*
c(24,40,20)s(24,48,20)s(8,48,12)-+s(24,32,28)+c(16,16,12)-
s(48,16,12)s(32,32,20)s(32,24,28)s(32,32,28)c(16,24,12)-**+
s(40,48,20)s(48,40,20)s(48,48,20)t(24,16,12)+**t(32,32,12)-
s(40,40,28)s(40,24,28)s(16,24,20)s(48,16,20)+**s(16,32,12)-
c(32,40,20)s(32,24,20)c(32,24,20)s(16,32,20)*+*t(32,40,28)*
c(24,32,20)s(40,40,20)+c(32,40,20)s(16,32,20)--t(40,32,20)-
s(32,48,20)s(48,40,20)+s(24,24,28)s(16,32,12)-+s(24,40,28)-
s(32,48,20)s(32,32,20)s(40,40,28)*c(48,16,12)+t(24,40,28)*+
c(40,24,12)c(40,32,20)s(24,40,20)*s(16,16,20)++s(24,32,20)*
t(40,56,12)s(24,24,28)s(32,32,20)s(24,32,20)t(32,32,28)***+
s(40,24,20)s(8,24,12)c(48,40,12)+-s(48,32,20)s(40,32,20)*+
s(24,32,28)s(32,24,20)s(8,48,12)+-s(40,24,28)-s(40,24,12)+
s(16,16,20)s(32,8,12)s(40,32,20)s(32,40,28)*s(24,32,28)*++
s(32,32,12)s(32,16,20)s(8,16,12)t(48,16,12)+++s(40,32,12)-
s(24,24,20)t(32,24,20)c(32,32,28)t(48,16,12)s(32,40,28)+---
t(32,48,28)s(40,40,28)s(48,32,20)*-t(32,40,28)s(40,32,28)*-
s(32,16,20)s(48,8,12)-c(40,24,20)c(24,24,20)c(16,40,12)-**
s(24,32,28)c(32,32,28)s(32,24,28)s(24,16,20)*c(16,24,12)+-*
c(24,24,20)s(32,16,20)*s(24,48,12)s(32,48,12)++c(16,16,12)-
t(24,40,20)s(8,32,12)+s(24,24,20)c(32,48,12)+s(32,32,12)--
s(32,24,28)t(24,16,12)-s(16,16,20)+s(40,24,20)s(32,16,12)-*
s(32,40,28)s(24,32,28)c(32,16,12)c(40,24,20)c(24,24,20)*+*-
s(24,40,20)s(8,32,12)-s(32,40,28)s(24,24,28)s(8,40,12)-**
s(32,24,28)s(24,24,12)c(16,16,12)+s(40,48,20)s(32,32,28)*++
c(32,32,28)t(32,24,20)-t(16,48,12)c(32,32,20)+*t(32,32,28)*
t(40,32,20)s(24,48,12)+s(16,40,12)t(48,48,12)+-s(40,40,28)*
s(24,32,20)c(16,32,12)t(40,40,20)+t(24,40,28)**s(16,48,12)+
c(40,40,20)c(24,24,12)+t(32,40,28)*s(40,32,28)*t(40,48,12)-
s(16,16,20)s(24,48,12)+t(16,56,12)s(32,24,12)++t(32,32,28)*
c(40,40,20)c(24,40,20)-c(32,40,20)s(32,24,20)c(24,32,20)**+
s(40,24,28)t(48,32,12)-t(24,48,28)c(32,16,12)++s(40,32,20)*
t(24,40,28)t(40,24,12)+t(32,48,28)*c(24,32,20)*s(48,16,12)+
s(32,40,20)t(24,32,28)+c(32,32,20)+s(32,32,28)*t(24,40,28)*
c(24,32,20)s(32,40,20)t(40,48,12)-*t(40,48,20)c(24,40,12)--
t(32,40,20)c(40,48,12)+t(48,40,12)-c(40,48,12)+c(16,40,12)-
t(32,48,28)s(40,16,20)c(40,32,20)s(32,32,20)s(24,32,12)-*-+
s(40,24,28)s(32,24,20)-c(32,32,28)s(32,48,12)-+t(32,48,28)*
c(32,32,28)s(48,32,20)s(32,16,20)s(24,8,12)-+*c(40,40,12)-
t(24,48,28)s(8,8,12)+s(40,40,28)*c(40,40,20)s(40,32,28)+*
s(32,40,20)s(40,24,20)c(40,32,20)*s(32,40,28)+c(24,40,20)**
s(16,24,20)c(16,16,12)-s(48,16,20)t(16,40,12)+c(32,24,12)--
t(32,16,12)t(24,32,20)s(40,40,12)-+s(32,32,20)t(32,48,28)*-
t(24,32,20)s(24,32,12)s(24,32,20)t(16,40,12)-t(24,40,20)-+*
c(24,32,20)s(40,40,20)s(40,32,20)*-s(16,40,20)s(32,40,20)*-
s(32,48,12)c(24,24,20)t(24,48,12)+t(24,40,28)*+s(48,40,20)-
t(24,56,12)c(16,24,12)t(32,32,28)+s(40,40,20)s(48,16,12)+*+
t(32,40,20)s(8,8,12)t(24,32,12)+s(8,16,12)++t(32,32,28)-
c(16,24,12)s(24,48,20)t(32,40,20)+s(32,40,28)*+t(32,32,12)-
s(24,40,28)s(32,24,20)s(24,24,28)s(40,32,28)**-t(24,56,12)-
s(24,16,20)c(40,32,20)t(40,16,12)c(32,32,20)t(24,40,20)-+*-
s(32,8,12)c(24,24,20)+s(16,16,12)-c(32,32,20)*s(48,24,12)-
c(32,40,20)c(24,32,12)-s(24,32,28)s(16,24,12)c(40,16,12)+-*
t(32,48,28)t(24,48,20)c(24,40,20)t(24,40,28)**-t(40,56,12)-
s(48,40,12)s(24,24,20)+c(40,40,20)+s(24,32,20)s(48,24,12)+*
t(24,40,20)t(32,32,28)*s(48,32,20)c(48,40,12)-s(24,40,20)-+
s(48,16,20)t(16,32,12)s(40,40,20)++s(40,16,20)*s(48,32,12)-
s(32,24,12)t(24,32,20)s(40,48,20)c(32,40,20)*-+s(48,16,20)-
s(16,24,20)s(24,24,28)t(24,40,20)-s(40,24,20)c(48,32,12)++*
s(24,24,28)s(8,32,12)s(8,8,12)+-t(48,40,12)s(16,24,20)+-
s(24,24,20)t(32,32,28)s(40,16,20)s(40,32,28)t(32,32,20)----
s(24,8,12)s(16,16,20)s(24,16,20)t(24,24,20)*-+c(32,32,12)+
s(48,48,20)c(24,40,20)t(24,32,12)--s(32,40,28)s(40,32,20)--
s(24,24,20)t(24,40,28)t(16,48,12)t(48,48,12)+s(32,48,12)+-*
c(24,40,20)s(48,32,20)c(32,32,12)-+c(40,48,12)c(24,40,12)+*
s(40,40,20)t(24,48,28)+s(32,32,20)t(32,16,12)c(16,16,12)+-*
t(48,32,12)c(32,40,12)c(24,32,20)s(40,24,12)-s(32,40,20)*++
c(48,48,12)c(32,40,12)t(16,16,12)+c(24,40,20)*s(8,32,12)++
c(32,32,28)c(16,40,12)-c(48,24,12)-t(16,56,12)s(32,32,28)+*
s(16,32,20)s(24,16,20)-c(32,16,12)+s(24,16,20)s(24,16,12)--
t(40,16,12)s(32,40,20)+s(40,32,20)-s(40,24,28)+t(24,48,28)-
c(24,32,12)c(24,32,20)c(32,48,12)-s(40,40,20)-+t(40,24,20)-
c(40,40,12)s(40,24,12)+t(24,32,20)t(24,40,28)c(24,40,20)**+
s(16,32,20)t(40,24,12)s(48,40,20)+c(32,32,20)+s(32,48,20)-+
s(32,40,20)s(24,32,28)*t(48,16,12)s(48,48,20)+s(48,48,12)-+
s(16,40,20)s(40,40,20)t(32,32,12)-t(40,32,20)-+t(40,48,12)-
t(32,48,28)c(16,40,12)s(40,16,20)c(24,24,20)+s(40,32,28)-+-
t(32,24,12)s(40,32,28)c(24,24,12)s(24,48,12)+-+c(48,48,12)-
s(8,8,12)s(32,40,12)t(32,24,20)t(24,24,12)-+c(24,48,12)++
s(32,48,20)t(32,32,20)c(40,40,12)s(32,8,12)t(40,24,20)+++-
s(24,32,20)t(24,56,12)+t(32,40,28)t(24,24,20)--t(24,48,28)-
s(16,24,12)c(32,40,20)+s(24,24,28)s(40,32,28)*s(16,16,12)+*
s(40,16,20)s(16,16,20)c(32,32,28)s(24,40,28)*s(40,32,28)--+
t(32,32,28)s(32,32,20)c(32,48,12)t(32,16,12)++*s(40,32,28)*
s(32,40,20)s(16,40,20)+t(24,32,28)t(24,40,20)c(48,32,12)+*-
s(24,32,28)s(40,8,12)+s(16,40,20)t(24,48,28)*s(8,32,12)+*
s(40,48,12)s(32,32,28)c(32,40,12)s(48,24,20)+-+t(24,56,12)+
c(24,40,20)c(16,24,12)+t(24,40,28)s(24,32,20)+c(32,40,20)*-
s(32,32,28)t(32,40,20)t(24,40,28)*t(32,56,12)+-s(16,40,20)-
s(48,32,20)c(32,32,20)s(24,24,28)t(24,40,28)s(24,32,20)**--
t(48,40,12)t(32,40,28)t(32,24,12)t(48,24,12)+-s(24,40,28)*+
c(40,48,12)c(40,16,12)+s(24,32,28)t(24,16,12)--s(40,32,28)+
s(40,24,28)c(40,32,12)-c(24,16,12)s(40,24,12)+c(24,40,12)+*
s(32,48,12)s(48,16,12)t(40,40,20)t(32,24,20)-++s(32,24,28)*
t(32,32,20)s(40,48,20)+t(16,32,12)+s(32,32,20)c(40,40,20)**
t(24,48,12)s(40,24,28)+t(32,40,12)-s(24,32,28)t(40,32,20)+*
s(24,16,20)s(24,24,20)c(40,32,20)s(32,32,28)t(24,48,20)++**
c(32,32,28)s(48,32,20)*s(40,48,20)t(40,24,20)c(24,24,12)++*
t(40,24,12)s(32,48,12)+t(32,40,20)+s(8,48,12)+t(24,40,12)-
s(16,48,20)c(40,32,20)s(24,24,20)+s(48,48,12)--s(24,32,28)+
c(32,40,20)c(40,32,20)*t(32,40,28)*t(24,48,28)s(16,32,20)-+
c(32,24,20)s(24,40,20)*s(24,48,20)+s(40,40,28)-s(32,48,12)+
c(40,40,20)c(24,40,12)-s(32,24,28)+s(32,32,20)-s(40,24,28)*
s(32,40,28)t(24,32,20)*c(48,48,12)+s(48,32,20)t(16,32,12)+-
c(24,32,20)s(32,40,20)s(24,40,28)s(32,48,20)t(16,48,12)+***
c(40,40,20)s(24,32,28)t(40,56,12)s(32,40,20)s(16,32,12)-++*
s(40,32,20)s(24,40,20)s(16,32,20)*-s(48,16,12)-c(40,40,20)*
s(24,8,12)s(8,32,12)t(32,24,20)c(32,16,12)+++t(16,32,12)-
s(40,48,20)s(24,32,12)s(40,32,12)++s(48,32,12)t(32,16,12)++
s(24,32,20)s(24,24,20)*s(32,32,20)s(32,16,12)+s(24,32,20)**
s(40,32,20)s(40,32,28)s(48,40,20)-t(24,40,28)s(32,24,28)*+*
s(32,40,20)s(40,24,28)t(24,32,28)*+s(16,24,12)-t(32,48,28)*
t(48,56,12)c(24,24,12)s(32,40,20)++c(32,32,20)s(40,32,20)**
s(32,32,28)t(24,48,20)c(24,40,20)s(32,24,28)*--s(32,16,20)+
s(32,24,20)c(48,48,12)s(40,24,20)+t(32,32,28)c(40,40,12)---
c(32,40,20)s(32,40,28)c(48,24,12)-t(48,16,12)t(40,24,20)+-*
t(32,48,28)s(24,48,20)t(24,48,28)*c(24,40,20)s(40,32,20)*-*
c(32,16,12)t(24,32,28)s(32,48,20)s(24,32,20)c(32,16,12)++*+
t(40,24,20)s(24,40,28)+t(24,48,28)s(48,8,12)+-c(48,24,12)-
s(24,24,20)t(16,24,12)-s(32,24,20)s(8,8,12)+*c(16,16,12)-
s(48,24,12)s(24,32,20)c(40,32,20)s(40,40,28)**t(40,24,20)++
t(48,16,12)t(24,56,12)+s(40,32,20)s(24,16,20)-+t(40,40,20)-
c(16,32,12)c(32,40,20)t(32,48,28)*+t(24,48,12)c(16,24,12)+-
t(24,32,28)s(24,48,20)c(32,32,20)s(40,40,20)*-s(16,16,20)+*
t(40,56,12)s(48,16,20)s(40,40,28)s(32,48,20)-s(40,32,28)*-+
s(32,40,12)s(48,48,20)+t(32,40,28)*t(32,48,28)+t(16,24,12)+
s(32,24,20)s(16,32,20)s(24,32,20)t(24,48,12)+s(24,40,20)*--
t(24,32,28)s(40,24,20)+c(32,24,12)t(40,40,12)+s(8,32,12)+-
c(32,32,28)s(32,16,20)*s(24,16,20)c(32,16,12)-t(32,32,28)++
c(40,24,20)t(24,32,28)*t(32,40,20)s(24,32,20)t(40,32,20)-+*
s(16,48,20)s(24,24,20)c(32,24,20)+s(32,40,20)s(8,48,12)++*
s(24,24,28)c(40,16,12)s(40,16,20)t(32,32,28)-+s(16,16,20)+-
t(24,32,28)c(24,24,20)t(40,32,12)-t(32,32,28)*t(16,48,12)+*
s(24,40,28)t(48,40,12)s(32,32,28)t(24,24,12)t(32,48,28)+*+*
s(32,48,12)s(32,40,28)s(24,48,20)-+c(24,24,20)-s(40,48,20)*
c(24,32,20)s(48,32,12)s(16,48,20)+c(32,40,20)t(48,16,12)+**
c(24,32,20)t(32,48,28)s(24,40,28)**c(24,16,12)s(24,24,12)++
c(40,40,20)s(32,32,28)s(40,40,28)s(48,32,20)c(40,48,12)-*--
s(8,8,12)s(48,24,20)+c(40,24,20)*s(32,48,20)-c(32,24,20)*
c(32,40,20)c(32,32,20)c(32,24,12)t(16,56,12)+-*c(24,48,12)+
c(40,40,20)t(32,40,28)c(32,40,20)c(16,24,12)t(16,32,12)+-**
s(24,24,28)t(40,40,20)-s(8,48,12)+s(32,32,20)s(40,48,12)-*
c(24,32,20)t(40,40,12)-t(32,48,20)s(16,24,20)+s(40,24,28)--
t(32,48,28)s(40,40,28)c(32,24,20)-s(48,32,12)+s(40,40,12)-*
c(24,40,20)c(16,24,12)s(40,40,20)+s(48,40,20)-s(24,48,12)+*
c(32,24,20)c(48,40,12)t(24,32,28)+c(32,48,12)-c(40,40,20)--
s(48,32,12)s(32,48,20)+c(24,32,12)+s(24,24,20)-s(40,32,20)-
c(32,24,20)t(40,32,12)-s(16,24,20)*c(24,32,20)s(40,24,12)+*
s(32,24,20)c(40,24,20)c(48,32,12)-+t(24,40,20)-t(40,32,12)-
c(24,32,20)t(24,48,28)s(24,40,20)*+s(40,40,20)c(24,32,20)*-
t(24,40,12)t(40,48,20)s(24,40,28)s(32,32,28)c(40,16,12)-+*+
s(48,32,12)t(24,32,28)+s(40,32,28)*c(32,32,28)s(40,48,20)*-
t(32,32,28)s(24,24,20)*c(40,32,20)t(24,40,28)+s(32,16,20)*+
t(24,40,20)t(24,56,12)s(40,48,20)s(32,40,28)s(24,48,12)-*++
s(40,24,12)c(24,24,20)s(32,32,20)+s(40,24,12)-+s(24,24,12)-
t(24,48,20)c(40,40,20)c(24,40,20)-+c(24,40,12)c(40,24,12)+*
s(48,8,12)t(24,40,28)t(32,32,28)*t(32,48,28)+s(32,48,20)-+
c(40,40,12)c(24,40,20)t(48,16,12)+s(16,48,20)-+s(16,32,20)+
s(40,24,28)s(32,40,28)*s(40,48,12)c(32,32,12)++t(32,40,12)-
t(40,40,20)s(32,8,12)+t(16,40,12)s(8,8,12)s(40,32,20)++-
s(32,40,20)s(48,48,20)-c(32,40,20)t(32,40,12)-+s(40,16,20)-
s(32,48,20)s(16,40,20)s(40,32,28)s(32,40,28)*+t(32,40,28)**
s(48,8,12)c(24,40,20)s(32,16,20)t(24,16,12)-++t(24,32,28)*
s(24,40,28)s(16,32,20)c(16,48,12)c(24,16,12)+s(32,24,28)*--
s(16,32,20)t(24,48,20)s(32,24,20)s(24,8,12)-+s(40,32,20)+*
s(24,32,28)s(16,16,20)-s(24,32,20)*s(24,16,20)t(24,48,28)+*
c(40,32,20)s(32,24,28)*t(24,40,28)s(32,32,28)*-c(24,24,12)+
s(16,24,20)c(32,24,12)t(32,16,12)s(24,48,20)+++s(48,32,20)-
s(24,24,20)t(24,40,20)s(16,24,20)+c(32,48,12)-c(32,32,28)**
c(32,40,20)s(24,32,20)*s(32,32,28)s(16,48,20)-+s(24,16,20)+
s(48,24,20)s(40,8,12)-s(48,40,12)-s(48,8,12)+s(48,8,12)-
s(32,48,12)t(40,32,12)t(24,48,20)+s(32,48,20)*+s(48,24,20)+
c(24,32,20)s(32,24,28)t(16,56,12)++t(24,40,28)s(32,16,20)+*
t(40,40,12)c(24,40,20)t(24,40,28)*c(32,32,20)*+t(48,40,12)-
s(48,16,20)s(32,32,12)t(24,24,12)+s(32,16,20)c(16,24,12)-++
s(16,48,12)t(48,24,12)t(32,32,12)++s(24,24,28)t(48,16,12)+*
s(48,32,20)c(32,32,12)+t(24,40,20)t(24,32,28)*-s(16,32,12)+
s(40,24,20)s(24,48,12)+t(32,32,28)s(32,24,20)*-s(16,48,20)+
s(40,40,28)s(32,40,28)s(24,24,20)--s(24,24,20)c(40,24,20)*+
t(24,32,28)c(24,32,20)*c(16,16,12)s(40,24,28)s(40,16,20)-+-
s(16,32,20)c(32,32,28)t(24,40,28)s(24,48,12)--s(24,48,20)+*
c(16,48,12)s(40,40,20)c(16,32,12)++s(16,24,20)-c(32,40,20)*
s(8,32,12)s(16,24,12)+c(24,24,12)+s(24,48,20)+t(32,48,20)-
c(40,40,20)s(32,40,28)*s(24,8,12)s(32,40,20)+*t(48,48,12)-
t(32,32,28)s(24,40,12)-s(8,32,12)+s(32,32,20)c(24,40,20)*-
s(40,48,20)c(48,16,12)t(32,32,20)+c(24,32,20)-+s(24,24,28)-
t(32,48,28)s(40,16,20)t(32,24,20)+c(24,32,20)*-s(24,40,12)-
s(8,40,12)s(24,32,12)+s(16,32,20)*s(8,8,12)+s(8,32,12)-
c(24,40,20)s(8,40,12)-c(40,32,20)s(40,24,28)*s(32,40,28)**
c(40,40,20)c(32,32,20)*s(40,48,12)c(40,32,12)s(16,48,12)++*
t(32,16,12)c(32,40,20)+c(32,16,12)-t(32,40,28)s(24,32,12)-*
c(32,32,20)c(32,40,20)*s(24,24,20)c(32,24,20)*-s(16,32,20)-
s(16,48,20)s(32,40,28)t(32,32,28)c(32,40,20)*s(40,8,12)+--
t(32,24,20)s(24,48,20)s(48,24,12)+-s(48,48,20)+c(40,32,20)+
t(24,40,28)t(24,40,28)t(32,48,28)s(24,24,12)+s(40,40,20)**-
t(24,16,12)s(40,32,20)c(48,16,12)s(24,40,28)+*s(32,24,28)*+
s(48,16,12)t(16,48,12)s(16,24,20)s(32,16,20)-+s(32,40,20)++
s(24,40,12)s(24,24,28)s(40,32,20)*+s(24,48,20)t(40,24,20)+*
t(24,48,28)s(24,32,28)*t(24,32,28)c(24,16,12)-c(24,24,12)+*
s(32,32,28)s(24,32,12)-c(24,32,20)s(32,24,28)*s(16,16,12)--
s(40,32,20)s(32,32,20)c(16,16,12)+t(32,40,28)s(40,40,28)***
s(24,40,20)c(24,32,20)c(32,48,12)-t(24,40,20)t(40,48,20)+--
c(32,40,20)s(32,32,28)t(32,48,28)t(24,32,28)s(32,32,28)*--*
s(24,40,12)s(32,40,28)s(40,24,20)*+t(24,48,20)t(48,48,12)+-
c(40,32,20)t(32,40,20)t(24,32,12)+s(24,32,20)t(32,24,20)---
s(40,32,28)s(24,16,20)-c(48,16,12)+s(48,16,20)*c(32,16,12)-
t(32,32,28)c(40,24,20)+s(32,40,28)t(32,48,20)t(24,48,28)*-*
s(48,16,20)c(16,24,12)s(40,32,20)+t(40,40,20)+s(32,32,28)++
t(32,40,28)s(24,40,28)t(24,32,28)*s(40,40,12)+t(24,32,20)--
t(32,32,20)c(32,32,20)c(48,16,12)-c(48,48,12)-t(24,32,20)-+
s(24,16,12)s(40,40,20)t(24,32,20)++s(48,40,20)c(32,24,12)-+
s(24,48,20)c(16,40,12)s(32,32,28)t(32,48,28)*+s(48,32,20)-*
c(16,24,12)t(40,48,20)+s(8,40,12)+c(40,40,20)s(48,8,12)+*
t(24,16,12)c(32,24,20)t(24,32,20)*c(32,32,12)+c(40,32,20)*+
c(40,40,20)s(24,40,28)s(32,24,12)s(16,40,20)+*s(32,40,12)+*
s(24,40,28)s(48,24,12)s(24,40,20)+s(40,16,12)+s(40,40,20)*-
t(24,48,28)t(32,40,12)-c(24,32,20)s(24,40,28)*c(24,40,12)-+
s(16,40,20)s(40,40,12)s(16,48,20)+*s(16,32,20)t(24,48,20)--
c(16,32,12)t(40,56,12)t(24,32,28)+c(32,24,12)+t(16,24,12)-+
s(40,40,20)s(40,40,28)c(24,16,12)s(16,8,12)+c(48,48,12)+*+
s(24,32,20)s(24,32,28)s(16,48,12)s(16,16,12)+*-t(24,24,12)-
c(24,40,20)t(32,48,28)*t(32,16,12)+s(24,32,28)s(16,32,12)-*
t(32,48,12)s(24,24,20)t(40,32,12)++c(32,32,28)t(40,40,20)-*
s(24,32,28)s(40,40,20)c(32,32,12)--c(16,32,12)t(32,48,20)+*
c(40,32,20)t(24,40,28)s(24,48,20)s(40,8,12)s(48,48,20)+-*+
s(24,24,28)t(24,48,20)+s(32,24,12)-s(40,24,28)-s(32,32,28)*
s(24,16,20)t(48,24,12)t(24,48,12)+c(32,24,12)+s(32,32,20)*-
s(40,24,28)c(24,32,20)+t(24,40,28)*c(32,40,20)t(32,40,20)--
c(32,16,12)t(24,40,28)s(32,40,20)s(24,40,12)-*+s(40,8,12)-
s(32,24,20)c(32,32,28)s(16,40,20)*-s(24,40,12)s(24,24,20)+*
c(32,32,28)s(32,24,12)-s(24,24,20)s(48,24,20)-*t(24,48,28)+
s(24,40,28)s(16,32,20)s(32,32,28)s(24,32,28)*s(40,24,28)--*
t(24,48,20)s(40,40,20)+s(48,32,20)s(16,48,20)t(32,32,28)-+*
s(32,24,28)t(40,24,12)c(24,48,12)++c(24,40,20)*s(24,24,28)*
s(24,32,28)s(48,48,20)t(32,56,12)--s(16,24,20)+s(48,32,20)+
c(32,40,20)s(32,32,28)t(32,48,20)s(32,16,20)+s(24,48,20)+**
s(40,32,20)t(16,56,12)+c(32,40,20)+s(16,48,12)s(40,24,20)+*
s(24,40,20)s(16,32,20)-t(24,24,20)+s(24,32,12)+c(32,48,12)-
s(16,16,20)s(32,8,12)t(40,48,12)+-s(16,48,12)+s(32,40,20)-
t(32,40,28)s(32,32,28)s(16,8,12)+*t(24,48,28)+s(40,32,20)*
t(40,32,20)s(40,40,20)+s(40,48,12)-t(40,16,12)-s(32,40,12)-
s(24,40,20)t(32,40,28)*s(32,40,20)*s(48,32,20)+s(16,8,12)+
s(40,32,28)t(40,40,12)t(24,16,12)t(24,48,28)+s(40,40,28)*++
s(40,40,28)t(32,32,28)s(24,24,20)*t(32,24,20)*-s(32,48,20)-
c(32,24,20)t(32,16,12)-c(24,40,12)-c(32,16,12)-s(40,48,20)-
t(40,24,12)t(24,32,28)+t(24,48,28)s(40,48,20)*-c(24,32,20)*
c(48,48,12)c(32,40,20)+c(40,40,12)-s(16,32,12)s(48,16,20)+-
s(40,32,28)c(32,32,20)t(32,32,28)s(24,24,20)c(32,24,20)*---
s(32,24,28)s(24,40,12)-t(24,40,28)+s(48,24,20)-s(48,40,20)-
s(40,24,20)s(16,40,20)s(24,32,20)+s(24,16,20)s(32,40,28)-++
c(32,24,20)t(24,40,12)s(40,48,20)+-s(16,32,20)t(24,40,28)*-
s(40,24,20)t(40,32,20)-s(32,48,12)+s(32,32,20)t(32,48,28)--
s(40,40,20)c(24,32,20)+c(32,32,12)s(16,32,20)+t(32,32,28)*-
c(32,32,12)s(40,32,28)t(40,40,20)c(48,48,12)+s(48,48,20)**+
s(40,16,20)c(24,32,20)+s(40,48,20)-s(32,32,12)s(48,16,20)+*
c(32,24,20)c(48,16,12)+s(40,24,28)*s(32,32,28)*c(24,32,20)*
s(24,40,28)c(32,32,28)*s(40,40,28)c(40,32,12)-*t(32,48,28)*
c(32,24,20)t(32,40,28)t(48,56,12)c(40,24,20)s(32,40,28)*+**
s(48,16,20)t(32,24,20)-c(40,32,20)c(32,40,20)*s(16,32,20)++
t(24,40,28)s(40,32,28)s(48,48,20)s(32,24,28)s(16,32,20)*+**
s(24,32,28)s(24,40,28)*t(24,40,28)t(32,32,28)--s(24,16,20)-
s(48,24,20)s(24,8,12)s(48,40,12)+s(16,16,20)s(40,32,28)-+-
c(24,24,20)s(40,24,28)*s(32,32,28)s(48,16,12)t(16,56,12)+-*
s(32,32,28)s(48,16,20)t(40,40,20)+s(24,40,20)--s(16,40,12)-
c(40,32,20)s(32,32,20)-s(32,8,12)+t(16,16,12)c(40,40,20)+-
s(24,24,12)c(40,16,12)+t(24,32,20)s(48,40,12)+-s(40,32,12)-
s(8,24,12)c(32,32,20)s(24,24,20)*+c(24,24,20)*s(40,32,28)*
c(40,40,20)s(48,32,20)s(16,40,12)t(16,48,12)++c(32,32,20)**
s(48,32,20)c(24,32,20)-t(24,32,20)+s(24,48,20)c(24,32,20)+-
t(48,16,12)t(24,24,20)c(32,32,12)+t(32,16,12)+c(40,16,12)-+
s(16,24,20)s(24,40,12)-s(32,24,28)s(40,40,28)t(24,32,28)+*+
c(32,48,12)c(16,32,12)+t(24,48,20)c(24,24,20)s(16,40,20)*--
c(40,16,12)s(16,8,12)c(24,40,20)+s(40,32,12)-+s(32,40,20)*
s(48,40,20)s(40,16,20)+c(40,24,20)t(40,48,20)+c(40,24,20)--
c(40,40,20)t(24,24,20)s(8,32,12)-s(24,48,20)s(48,40,12)+--
c(40,40,20)s(24,8,12)c(32,32,20)c(32,40,20)*+t(24,24,12)-*
c(40,24,20)s(32,48,20)c(40,40,20)*t(24,48,28)*+s(24,24,20)+
s(40,40,28)c(24,32,20)s(16,40,20)t(24,40,20)*t(40,32,12)+**
t(32,32,28)s(32,32,28)s(24,40,28)c(32,48,12)-*t(24,40,12)-*
s(40,32,20)t(40,24,20)*s(48,32,12)c(32,24,12)+s(48,24,20)*+
t(48,32,12)c(24,32,20)s(32,24,28)*+s(16,40,20)t(40,48,20)+*
c(40,24,20)s(40,16,20)*c(32,32,20)c(40,32,20)s(48,24,12)-*-
t(32,40,28)s(32,24,28)c(48,24,12)-t(16,24,12)-+s(24,40,20)-
t(24,32,28)c(32,48,12)-s(32,32,28)t(24,24,20)*c(32,16,12)+*
s(40,32,28)s(16,40,20)-c(40,24,20)s(48,24,20)*t(32,32,12)+*
s(40,40,12)c(24,40,20)t(32,32,12)t(24,40,20)+c(32,32,20)*-+
c(40,16,12)s(24,24,28)s(32,40,20)*+s(48,32,12)-s(48,24,12)-
c(32,32,20)s(24,8,12)c(24,48,12)+t(48,32,12)s(24,40,28)++*
c(40,32,20)s(40,48,20)-s(48,24,20)s(40,24,20)s(48,8,12)-+*
c(24,32,12)t(24,40,28)t(16,32,12)-t(40,24,20)-t(24,32,28)*+
t(24,24,20)s(40,48,20)s(40,40,28)s(40,24,28)*-+s(32,24,20)*
s(40,40,20)t(32,24,20)+s(40,32,28)*s(48,32,20)*s(32,24,28)*
s(40,24,20)s(48,40,20)s(24,24,28)t(32,32,28)s(24,48,12)-*--
s(16,48,20)c(24,40,20)s(24,8,12)++s(40,16,12)t(24,48,28)+*
s(32,40,20)c(40,16,12)t(32,40,28)t(32,48,12)-t(40,24,12)++*
t(24,32,28)t(24,48,28)t(40,32,12)++t(24,24,12)c(40,40,20)++
s(32,32,28)s(24,24,12)-s(24,8,12)t(32,40,12)+-t(32,48,20)-
s(32,40,28)s(24,40,20)s(24,32,12)c(32,24,12)+s(32,32,20)*-*
s(16,32,20)s(24,32,28)s(8,16,12)-t(32,48,20)s(40,24,28)+*-
s(48,48,20)s(24,16,20)t(32,24,12)-s(32,24,28)*t(24,48,20)++
t(32,48,28)s(16,16,20)s(24,32,12)s(16,40,12)++s(40,48,12)+*
s(24,24,20)s(16,16,20)*s(24,32,20)+t(24,40,20)t(16,40,12)+*
t(32,32,28)s(32,32,28)s(16,16,20)t(32,32,20)+*t(40,48,20)-*
t(32,56,12)c(24,32,20)+c(48,32,12)s(48,16,20)+-s(24,24,20)*
s(40,24,28)c(32,32,20)c(32,40,20)*t(32,48,20)-s(48,48,12)+*
c(24,24,20)c(48,32,12)+t(16,24,12)-t(32,48,20)s(24,40,20)+-
s(32,24,28)c(32,32,20)+s(24,32,20)*s(8,48,12)c(24,32,12)+*
c(32,32,12)s(16,24,20)c(24,32,20)s(16,32,20)+*+t(24,40,20)-
c(32,32,28)s(16,24,12)s(8,32,12)+-t(32,32,28)s(24,48,12)-*
t(24,32,20)s(32,48,12)-s(32,32,20)+t(32,40,12)-s(16,32,20)*
s(24,24,28)c(32,24,20)s(16,32,12)-t(40,16,12)--s(24,24,20)*
c(16,16,12)s(40,40,20)+s(8,32,12)+s(8,32,12)-t(40,48,12)-
s(40,24,20)s(40,40,20)c(40,24,20)*-t(40,32,20)c(24,24,12)-+
s(40,24,28)s(32,24,28)c(32,32,28)s(32,24,12)--s(16,48,12)+*
s(32,24,28)c(40,40,12)-t(48,32,12)s(32,40,20)c(24,24,12)++*
s(32,16,20)s(8,16,12)s(40,32,12)++t(24,32,28)*t(32,24,20)+
t(40,24,20)t(32,32,12)-s(24,40,28)s(16,32,20)-c(32,32,20)*+
s(40,32,28)s(32,48,20)t(48,56,12)+*s(32,8,12)+s(24,24,20)-
t(48,56,12)c(24,32,20)c(24,48,12)s(16,16,20)+*+t(24,32,20)-
s(32,24,20)s(8,8,12)+c(32,48,12)c(32,24,20)s(40,32,20)*++
s(16,48,20)c(40,16,12)+c(40,40,12)+s(24,32,28)s(16,24,20)*-
s(40,24,28)t(32,32,20)-t(32,16,12)-t(48,24,12)-s(32,24,28)+
c(32,32,28)s(24,32,28)-s(16,8,12)c(24,48,12)+s(32,32,20)+-
s(24,32,20)t(32,56,12)c(24,24,20)+s(16,16,20)*-c(40,24,12)-
s(24,32,28)s(40,24,20)-s(40,40,12)-c(32,24,12)+c(48,32,12)+
s(48,32,20)c(40,40,12)+s(32,32,20)c(24,40,20)+t(40,32,12)--
s(32,16,20)s(16,16,12)c(24,16,12)+-t(40,16,12)s(8,40,12)++
c(32,32,28)s(16,48,20)*s(8,8,12)+s(24,24,28)c(40,40,20)--
s(32,40,20)s(40,32,20)t(32,48,28)t(32,48,12)-+s(16,32,20)--
s(24,16,20)t(24,32,28)t(16,16,12)+t(32,40,28)*-s(24,24,28)*
s(8,16,12)c(32,32,28)t(40,40,20)-+s(32,40,28)*s(48,48,20)-
t(32,24,20)t(24,48,20)+c(40,32,20)s(24,16,20)--t(32,32,28)*
s(32,48,20)t(32,32,20)t(32,40,20)+*t(24,16,12)+s(40,48,12)+
t(24,32,28)s(24,40,28)s(32,32,28)s(32,24,28)**s(40,16,20)--
s(32,48,20)t(32,32,28)s(24,24,28)*s(32,16,20)-+t(24,48,20)-
s(24,32,20)s(24,16,20)s(24,8,12)s(32,40,28)+*+t(24,48,28)*
s(40,24,28)s(24,24,28)-s(48,40,12)s(24,24,28)+s(16,48,20)-+
c(32,24,20)t(40,24,12)-s(32,40,28)*c(40,16,12)+c(16,48,12)+
c(24,24,12)s(48,32,20)+c(16,48,12)s(48,48,20)+s(32,48,20)*-
s(16,40,20)t(32,24,20)+s(32,48,20)-s(24,24,28)+s(32,16,20)*
t(24,48,28)t(24,32,28)s(16,32,20)+c(24,32,20)c(32,48,12)-*+
s(48,16,12)s(40,40,28)t(24,48,28)*+s(16,24,12)+c(32,24,20)*
s(40,40,20)s(24,16,12)+t(24,32,28)c(32,24,20)s(40,32,20)*--
c(40,40,20)t(24,32,12)t(48,16,12)s(32,48,20)++s(24,32,20)*-
s(48,32,20)s(48,16,12)t(40,32,20)+s(48,24,20)**s(40,16,12)+
s(32,40,28)s(16,8,12)+t(24,48,28)s(40,32,20)+*s(40,24,28)-
s(40,32,20)c(24,40,12)c(24,32,12)t(16,56,12)+t(16,48,12)++-
t(32,40,20)c(40,32,20)t(24,32,20)s(48,40,20)+*s(32,32,28)**
c(24,40,20)s(40,48,20)c(32,32,20)*-t(48,56,12)t(24,40,12)++
s(32,40,28)s(48,32,20)-s(32,24,28)c(24,40,20)t(24,32,12)-*-
s(32,24,12)c(16,48,12)+c(48,16,12)+s(40,24,20)s(48,24,20)**
t(32,40,28)c(16,48,12)-c(40,40,20)s(32,32,28)t(24,24,12)-**
t(32,32,20)s(40,40,28)c(40,24,20)*+t(48,16,12)+c(24,24,20)*
s(40,24,28)t(24,32,12)-s(32,24,28)s(48,24,20)c(16,32,12)+**
t(24,56,12)s(32,32,28)s(48,16,12)-c(24,40,20)c(40,32,12)--+
s(48,40,20)s(24,16,20)+s(40,32,20)c(16,32,12)+s(48,24,20)*-
s(24,24,28)s(32,16,20)c(16,24,12)--s(40,48,20)s(40,48,12)--
s(40,40,20)c(16,32,12)c(24,48,12)s(24,16,20)++-s(40,24,28)*
c(32,32,20)s(40,24,28)t(40,16,12)-t(32,32,12)t(32,48,12)+-*
s(24,48,20)c(40,40,20)t(24,48,28)c(32,32,28)*c(48,24,12)+-+
s(32,32,28)s(24,32,28)s(24,24,28)c(16,16,12)---c(16,32,12)-
t(32,24,20)c(24,40,12)-s(24,32,20)s(40,32,20)+t(40,40,12)-+
s(24,24,28)s(24,16,12)-s(8,40,12)-t(32,40,12)-c(32,32,12)-
s(32,40,28)c(40,32,20)s(24,32,20)s(32,40,28)**-c(48,32,12)+
s(48,40,20)c(40,24,12)-s(24,32,28)s(40,40,28)*t(40,32,20)--
s(16,8,12)t(32,32,20)+t(32,24,20)-s(24,48,20)c(40,48,12)--
s(40,32,28)t(48,32,12)-c(32,32,28)s(24,32,20)-*t(24,16,12)+
t(24,48,28)t(24,40,20)s(16,32,20)t(32,56,12)t(32,48,12)++*-
c(16,24,12)s(48,40,20)+s(32,24,28)s(16,40,20)t(32,40,20)--*
s(32,32,28)c(48,16,12)+s(40,24,28)*c(32,24,12)-c(40,32,20)*
t(32,24,20)s(24,24,12)c(40,24,12)++c(24,32,20)*t(24,48,28)-
t(24,32,28)t(24,40,12)s(48,16,12)+t(32,48,28)+*t(32,24,12)-
s(16,40,20)s(32,32,20)c(24,24,20)s(40,16,12)-*s(40,24,12)--
c(32,32,20)s(16,40,12)-s(24,32,28)c(24,24,20)+t(24,48,28)-+
s(48,16,12)t(16,48,12)+t(16,24,12)+t(24,24,12)s(48,32,20)+-
s(32,24,20)s(8,24,12)+s(48,24,20)c(24,32,20)+*t(32,32,20)*
c(16,48,12)s(40,32,28)+c(24,48,12)t(40,16,12)+s(32,8,12)+-
s(24,8,12)s(8,40,12)+s(24,40,20)c(40,40,12)-t(24,48,28)*-
t(32,40,20)c(32,24,20)t(24,40,28)-+s(40,40,28)*s(24,32,28)*
s(32,32,28)s(24,40,20)c(40,32,20)t(40,56,12)+*c(48,32,12)+*
c(32,40,20)t(32,40,12)s(40,24,20)+c(40,32,20)*t(32,32,28)**
c(32,24,20)s(48,48,12)+t(24,32,28)*t(24,40,28)s(32,48,20)--
s(40,48,20)c(24,48,12)c(16,24,12)+-t(48,24,12)+c(40,32,12)-
s(32,32,28)t(24,56,12)+c(40,32,20)s(32,32,20)*s(32,16,20)+*
s(24,8,12)t(24,48,12)+s(8,8,12)t(32,48,20)++s(16,48,12)-
c(40,24,12)s(32,16,20)s(48,16,12)-s(16,24,20)c(24,24,20)*-+
t(32,32,28)s(24,48,12)-s(24,24,20)t(16,32,12)-+t(32,32,12)-
t(24,48,20)c(40,40,20)t(40,40,20)-c(32,40,12)--s(16,32,12)-
t(32,40,12)t(24,32,20)+c(40,24,20)s(24,24,28)*c(16,16,12)-+
t(32,32,20)s(24,40,28)c(24,32,20)s(48,8,12)s(48,48,12)++**
s(24,24,12)s(32,40,20)s(8,16,12)+s(32,32,20)*s(40,8,12)++
s(40,40,20)s(40,32,12)-s(24,48,20)s(32,24,28)t(24,24,12)-++
c(24,40,20)c(40,40,20)*s(24,32,28)*s(24,24,20)c(32,24,12)--
t(24,24,20)s(48,40,20)+s(32,32,28)s(48,40,20)+c(24,32,20)**
s(32,16,20)s(40,32,12)+s(16,24,20)s(32,48,12)+s(40,40,20)-+
c(32,32,28)t(40,48,20)s(24,32,20)-t(32,40,12)+-s(24,16,20)*
c(24,32,20)c(32,24,20)*t(24,56,12)+s(24,24,28)+t(32,48,28)*
s(40,24,20)s(32,32,20)t(24,40,28)s(24,48,20)s(32,32,12)+*-+
c(24,16,12)t(40,56,12)+c(24,24,20)t(32,32,12)-t(32,32,20)-+
c(32,32,20)s(32,32,20)s(40,32,20)s(24,40,12)-*t(48,24,12)+*
s(40,40,28)c(40,32,20)s(32,24,28)s(24,32,20)t(16,16,12)+**-
s(16,32,20)s(24,32,20)t(24,24,20)*c(48,24,12)+c(40,24,12)--
s(24,40,28)s(40,32,12)t(24,40,28)t(24,32,20)-+-c(40,16,12)+
s(32,24,20)s(16,48,20)s(40,32,20)+c(48,32,12)t(16,32,12)++*
s(40,40,20)c(16,24,12)t(32,48,28)s(24,32,12)++s(32,24,20)*+
s(24,32,28)s(40,24,28)s(32,16,20)*-s(8,16,12)-c(32,32,12)-
c(32,40,20)s(16,48,12)+s(24,16,12)t(16,48,12)c(16,32,12)++-
s(32,24,20)c(32,32,20)c(32,24,20)*t(24,32,20)*t(24,24,20)+*
s(40,32,20)s(8,40,12)s(48,40,12)c(40,24,20)+s(32,40,20)*+*
c(48,32,12)s(16,16,20)c(48,24,12)+c(16,32,12)-t(24,16,12)-+
s(16,40,20)t(16,24,12)t(48,32,12)t(24,32,28)s(16,16,12)-++*
c(16,40,12)s(24,24,20)s(48,16,20)-s(48,8,12)+t(32,40,28)-+
t(32,32,28)t(24,56,12)s(40,24,20)+s(32,48,20)c(40,40,20)*-*
c(24,32,20)s(40,24,12)-c(40,40,20)t(32,24,20)+*c(40,40,20)*
s(32,32,28)t(24,32,28)*t(48,40,12)s(24,40,28)+*c(40,40,20)*
c(32,32,20)c(40,32,20)s(40,16,20)+*s(40,24,28)*c(40,40,20)*
c(32,40,20)s(32,24,20)*s(40,8,12)+s(24,24,28)s(8,16,12)-*
s(40,24,20)c(24,24,20)*s(40,32,20)+c(32,32,28)s(48,16,12)-*
t(40,16,12)c(40,32,20)s(40,32,20)t(32,16,12)--+s(40,48,20)-
s(40,32,28)s(40,40,28)t(24,48,20)+s(48,40,20)--t(40,16,12)-
s(48,48,20)c(16,32,12)t(40,48,20)c(32,40,20)s(40,40,28)**+-
s(32,32,20)t(48,56,12)s(16,32,20)s(32,32,28)*t(32,24,20)+++
s(24,32,28)t(32,48,20)-s(24,32,20)*t(24,40,28)s(48,40,12)+*
s(32,32,20)s(24,40,28)s(32,48,20)*-s(8,16,12)+s(32,32,12)-
s(16,48,12)t(24,32,28)c(48,40,12)-+s(16,24,20)+c(40,32,20)*
t(32,40,28)t(40,32,20)t(16,48,12)+s(32,32,28)*s(40,24,28)*-
c(32,32,20)t(32,40,20)-s(24,16,12)s(32,40,20)++s(16,24,20)*
t(32,32,28)s(48,24,20)t(24,32,28)c(24,24,12)-+*s(40,16,20)-
t(32,48,28)s(16,24,20)t(24,40,20)-s(48,24,20)s(40,48,20)++*
s(32,48,12)s(32,24,28)s(40,48,20)-+s(40,24,20)*t(32,48,28)+
s(40,16,12)s(32,40,12)+t(32,32,12)-s(16,40,20)+s(48,40,20)+
c(48,48,12)s(40,40,20)c(40,24,12)s(32,16,12)+-+t(32,40,28)*
s(48,40,20)c(32,40,20)*c(32,32,20)s(48,40,12)-s(32,40,20)*+
s(32,24,28)s(48,16,20)c(40,24,20)*s(40,24,12)+*s(24,32,20)-
t(40,40,20)s(40,32,20)t(24,32,28)*+t(48,56,12)+t(48,56,12)-
c(24,40,20)t(24,40,20)-t(32,32,28)s(48,16,20)+s(32,16,20)*-
c(24,24,20)s(8,8,12)c(24,24,20)s(16,40,20)+s(24,16,20)*+-
s(24,40,28)c(24,24,20)s(40,32,20)c(40,32,12)s(24,24,12)++*-
s(16,40,20)c(24,40,20)*s(24,32,20)s(40,32,28)t(32,40,28)*--
s(32,40,28)s(24,24,28)c(24,40,20)*s(16,40,20)*-s(16,40,20)+
c(48,16,12)s(32,24,20)+s(48,8,12)-t(32,32,28)s(16,40,12)-*
c(40,32,20)s(48,40,12)t(24,40,28)t(32,32,28)c(40,48,12)-*+-
s(24,32,20)s(32,32,28)s(24,40,28)s(48,32,12)+*c(24,16,12)+*
s(48,16,12)c(48,32,12)c(32,32,12)+s(24,40,28)*+t(24,48,28)-
c(32,24,20)t(24,40,28)s(32,40,28)*-s(32,32,20)s(24,24,20)++
s(40,8,12)s(48,8,12)t(48,48,12)++s(32,24,20)t(48,48,12)++
c(24,40,20)s(40,32,12)s(40,48,12)s(16,40,12)++t(24,40,28)+*
s(40,48,20)c(40,24,20)s(48,40,20)*+c(24,32,20)-s(32,40,28)*
s(48,24,12)s(8,48,12)+s(40,32,28)s(32,24,20)-s(40,40,20)*-
t(48,48,12)t(32,48,28)t(32,48,28)t(16,56,12)-s(16,8,12)+*+
t(16,24,12)t(24,32,28)c(24,40,20)*t(40,24,20)+c(40,24,12)-+
s(24,32,20)s(24,32,28)s(40,32,20)-c(24,40,12)+*s(32,16,20)-
s(48,48,20)c(24,40,20)-t(32,32,20)+s(24,40,20)s(24,32,20)+-
s(16,32,20)s(40,40,20)+s(16,24,20)*s(40,48,12)+s(24,16,12)+
s(32,32,28)c(24,32,12)-c(24,32,12)s(8,48,12)t(40,24,20)++*
s(8,40,12)s(32,8,12)c(40,40,20)+s(8,24,12)+t(32,32,28)*+
t(32,32,28)t(24,40,28)*s(24,40,20)s(24,24,12)s(24,48,20)+**
c(24,32,20)c(24,16,12)+t(32,40,12)-t(32,32,28)*c(40,24,20)+
s(40,48,20)t(24,32,20)c(32,32,12)+-t(48,32,12)+t(32,40,28)-
s(32,16,12)c(16,32,12)+t(24,32,28)+c(32,40,12)-s(16,32,20)*
c(24,32,20)s(32,32,28)*s(32,32,20)*s(40,32,20)*c(40,40,20)*
c(16,24,12)s(48,24,20)+s(40,40,28)t(24,32,20)-t(24,48,28)--
t(40,32,20)c(48,48,12)c(40,32,20)+s(24,48,20)s(32,40,28)*-*
s(48,48,20)s(48,48,12)c(24,24,20)s(16,24,20)*+s(16,24,12)--
t(24,32,20)c(24,32,20)s(40,24,28)*t(24,32,28)*+c(40,24,20)*
s(24,16,20)s(48,32,12)t(32,24,20)+c(24,16,12)+t(24,40,20)-+
t(32,32,20)t(24,24,20)+s(16,16,12)+t(32,48,20)+t(32,48,28)*
t(32,32,28)s(32,40,20)*s(24,24,20)c(32,24,20)s(32,32,20)-++
c(48,32,12)c(32,24,20)+s(8,40,12)+c(32,32,28)t(40,24,20)--
s(32,24,28)s(48,32,12)-s(32,24,20)c(32,32,12)-*t(48,56,12)+
s(24,40,20)t(32,40,28)s(24,32,28)*s(16,16,12)+t(32,40,20)--
s(24,32,28)s(24,48,20)c(32,24,20)s(32,32,28)c(16,16,12)-*+*
s(40,32,28)s(16,16,12)+c(32,40,20)s(16,32,20)+s(24,16,20)-*
s(16,48,20)s(16,48,20)s(40,32,28)s(24,24,28)*+c(24,40,20)**
c(24,40,12)s(32,8,12)+t(24,32,12)-s(48,48,12)+t(24,32,28)-
s(48,40,20)c(24,32,20)s(24,16,12)-c(40,40,12)-+c(32,40,12)-
t(40,32,20)t(24,48,28)c(48,16,12)+c(32,24,20)-+s(40,40,20)-
c(24,24,20)s(48,40,20)-s(32,24,28)c(32,40,20)-t(24,40,28)-*
s(24,32,28)t(32,40,20)-s(32,24,20)s(24,40,12)-s(24,32,28)*-
t(24,48,28)t(40,24,12)+t(48,16,12)s(24,48,20)+s(16,40,20)**
t(24,56,12)c(32,24,20)s(24,24,28)*s(24,40,28)s(24,48,20)-++
c(32,40,20)c(48,16,12)+c(24,48,12)-s(32,40,28)+c(32,32,28)*
s(40,24,28)s(40,32,20)c(32,32,28)s(48,16,20)-**c(16,32,12)+
s(48,48,12)s(32,24,12)s(48,48,20)+c(24,16,12)+c(32,40,20)-+
c(40,24,20)s(16,16,20)-c(32,24,20)s(40,48,20)+*t(24,24,20)-
s(40,24,28)s(16,16,20)+c(24,40,12)s(40,40,28)t(32,32,28)-+*
s(48,40,12)t(32,40,28)+t(24,48,28)c(32,16,12)+t(16,48,12)-*
s(48,32,20)t(48,40,12)-s(32,40,20)t(24,40,28)+c(40,24,20)*-
c(24,32,12)s(48,32,20)c(32,24,20)*+s(40,40,28)s(32,32,28)**
s(8,32,12)s(32,24,12)+s(16,48,20)s(32,24,28)s(40,48,12)+-+
t(24,48,28)t(32,40,20)-t(40,56,12)-t(40,40,20)s(48,16,20)-+
t(40,48,20)c(40,40,20)t(32,40,20)-+s(32,40,28)s(40,32,28)*-
c(40,40,20)s(40,32,20)c(40,32,20)s(8,8,12)t(24,48,20)+-**
t(32,40,28)s(32,24,28)*c(24,24,20)c(24,48,12)+c(32,40,20)**
c(40,40,20)s(32,40,28)t(48,48,12)-s(24,32,20)-*t(48,56,12)-
c(24,40,20)s(32,32,20)s(24,48,20)+s(24,24,20)-c(32,16,12)+*
t(32,40,20)c(40,40,20)s(32,40,12)-s(32,40,28)*t(40,56,12)-+
s(8,32,12)c(24,16,12)+c(32,40,20)s(16,32,20)c(16,24,12)--+
s(48,48,12)t(24,32,28)+c(16,32,12)c(40,16,12)+-s(40,32,20)*
t(40,48,20)s(40,16,12)s(32,48,12)+t(32,24,20)s(48,48,12)+-+
c(48,40,12)t(24,56,12)+s(40,24,28)t(24,24,12)-s(40,32,28)+*
s(24,32,28)c(40,40,20)+c(32,24,20)t(24,24,20)s(32,8,12)--*
s(48,16,20)c(24,40,20)s(24,40,20)c(48,16,12)+t(24,48,20)-++
c(48,48,12)c(48,16,12)s(24,48,20)++s(40,48,12)t(24,48,20)+-
s(32,32,20)s(40,32,20)s(32,24,12)t(32,48,28)+*s(48,8,12)+*
s(16,48,20)t(32,40,28)t(24,40,28)s(32,16,20)-t(24,40,20)**+
t(40,24,20)s(16,32,20)c(24,32,20)s(24,24,28)**+c(16,40,12)-
s(48,16,20)t(40,48,20)s(8,8,12)s(32,24,12)+++s(24,24,28)*
c(32,32,20)c(32,24,20)t(40,32,20)s(16,8,12)+**s(8,16,12)+
s(40,40,28)s(32,32,28)t(32,40,12)-s(8,32,12)t(40,40,20)+--
s(32,40,28)c(32,40,12)-s(32,48,20)s(24,48,20)c(40,40,20)-+*
s(16,24,20)c(32,24,20)c(24,40,12)-t(32,16,12)-+t(32,32,28)*
s(40,40,28)t(40,24,20)s(40,16,20)*-s(40,24,28)s(8,24,12)+*
s(40,24,28)t(24,48,20)s(24,24,12)+-s(32,32,28)*s(48,32,12)-
c(40,40,20)s(40,32,20)c(32,32,28)s(48,16,12)-*c(48,48,12)+*
s(24,24,28)s(48,24,20)+t(32,40,20)-c(32,24,20)*c(32,40,20)-
t(24,40,20)s(48,16,20)c(32,32,28)t(40,48,20)-c(40,16,12)-+*
c(32,32,20)s(16,40,12)-s(24,40,12)c(16,16,12)+-s(48,48,20)-
s(32,40,28)t(16,32,12)-s(40,32,20)s(32,32,12)--t(32,24,20)-
s(16,40,20)c(48,48,12)s(16,32,20)+c(24,24,20)s(32,40,20)*--
t(48,32,12)s(40,48,12)+t(32,32,20)t(24,40,12)-+c(24,32,12)-
s(40,32,28)s(32,32,28)*t(48,40,12)s(16,16,20)+-c(40,16,12)+
t(32,48,28)s(24,40,28)s(32,32,28)*s(48,48,12)+c(16,48,12)-*
s(32,24,20)c(48,24,12)s(32,24,28)t(24,32,28)-+c(40,24,20)*+
s(48,40,12)s(48,40,20)t(40,24,20)c(24,32,20)s(24,40,28)*+-+
s(16,40,20)c(40,40,20)t(24,48,20)t(32,48,28)*-+s(32,48,20)*
c(32,24,20)c(24,40,20)s(40,48,12)s(40,16,12)+-t(24,48,28)*-
c(40,40,20)s(24,48,20)t(24,40,20)*+s(8,24,12)t(32,32,20)+-
c(40,32,20)c(40,16,12)+t(24,48,28)+s(48,24,12)-t(32,24,20)*
s(32,40,28)s(40,40,20)s(40,24,28)t(24,24,20)+*s(16,48,20)-*
c(32,32,28)s(16,16,20)-c(32,32,20)*s(48,40,12)-t(32,32,28)*
s(40,24,28)s(24,48,20)c(24,40,20)*+s(16,24,20)-s(32,24,20)+
s(32,24,20)c(16,24,12)-s(48,24,12)-c(24,24,20)t(24,48,28)+*
s(16,24,20)c(32,32,28)t(32,24,20)-t(24,32,20)s(16,32,12)+*-
s(32,24,28)s(16,32,20)c(16,40,12)--t(32,32,20)-s(32,40,28)-
s(24,24,28)s(32,40,20)*s(24,32,20)t(48,48,12)t(16,24,12)+-+
s(40,16,20)s(40,32,20)s(8,24,12)c(24,32,20)+*+s(40,24,28)*
s(16,24,20)t(16,24,12)-s(24,40,12)s(32,32,12)+s(24,40,20)*-
s(40,32,20)s(24,40,28)+s(24,24,28)t(24,24,20)--s(40,24,28)-
s(16,16,12)s(48,40,20)s(48,24,20)s(48,48,12)+*t(48,24,12)-+
s(32,32,28)c(40,16,12)s(24,24,28)s(24,32,28)t(32,40,20)-*+*
t(24,48,28)c(24,24,12)s(24,24,28)t(24,48,12)+c(24,40,20)*+*
s(32,24,28)s(8,16,12)s(24,32,28)s(48,40,20)-+c(24,40,20)--
t(32,32,28)t(24,32,28)s(24,40,20)*s(24,40,28)c(24,24,20)***
s(32,16,12)t(16,56,12)+s(40,16,20)+s(40,24,28)s(48,8,12)--
s(40,40,20)t(16,16,12)s(32,48,12)s(48,48,20)+s(24,40,28)*+-
s(24,32,28)c(40,32,20)s(40,40,20)s(24,16,20)s(24,32,28)*+**
s(48,16,20)s(8,40,12)s(40,32,28)+c(40,16,12)c(24,40,20)+*-
t(40,32,12)t(32,48,28)+s(24,40,20)s(24,48,20)+-t(32,48,28)+
t(24,32,12)s(48,48,20)+c(48,16,12)+c(24,40,20)-t(24,24,12)+
s(48,40,20)s(40,24,28)+c(32,32,20)s(32,40,28)**c(40,24,20)+
t(24,24,12)c(40,32,12)+t(24,24,20)+c(24,32,20)*s(32,24,20)*
s(32,24,28)s(24,24,20)t(24,40,28)s(32,16,20)t(32,16,12)---*
c(24,40,20)t(24,32,28)*c(32,40,12)t(24,48,28)+t(32,40,28)**
s(24,40,28)c(24,32,20)-c(32,32,20)t(32,40,12)--s(48,48,12)+
c(32,40,20)s(32,40,28)s(32,16,20)-s(24,32,12)-*t(16,40,12)+
c(24,32,20)c(24,24,20)s(24,24,12)-*c(16,32,12)+c(48,32,12)+
s(16,24,12)s(40,40,12)t(40,32,20)+s(48,16,12)-t(40,32,20)++
s(24,24,28)s(40,48,12)s(40,32,28)t(24,32,28)t(24,16,12)-*+*
t(24,48,20)s(32,32,12)-s(32,48,20)+t(40,40,20)+s(24,24,28)-
s(32,32,28)s(24,48,12)-t(24,32,28)*t(24,48,20)s(40,32,20)+*
c(40,16,12)t(24,32,20)+s(16,16,20)s(24,16,20)*c(32,32,20)+*
s(40,40,20)c(40,32,20)s(48,32,12)t(16,24,12)+t(24,16,12)+-*
t(24,40,28)t(24,48,20)s(40,16,20)t(32,40,28)s(48,32,12)++*-
s(32,24,28)s(32,32,20)s(24,8,12)+s(40,48,20)c(32,32,20)*-*
c(40,24,12)t(24,32,28)s(8,24,12)s(16,48,20)+*+t(32,40,20)-
s(40,32,28)t(24,32,12)-s(24,24,20)+s(24,32,28)s(16,16,20)**
s(32,32,28)s(24,16,12)t(40,40,12)+t(32,32,12)+s(40,40,28)+*
s(32,40,28)s(32,24,20)s(40,24,20)*t(40,40,12)+-c(24,24,12)-
s(32,24,20)s(24,24,28)t(32,32,28)s(32,40,12)-s(48,48,12)+**
s(48,16,20)s(40,24,20)s(48,40,20)-c(24,32,12)-+t(16,48,12)+
s(24,32,20)s(40,24,28)t(48,24,12)-c(32,32,28)**s(32,48,12)-
s(24,24,20)s(24,40,28)s(40,32,20)s(40,24,20)c(32,24,12)-+*-
s(24,32,20)s(40,40,28)s(24,40,28)+t(32,32,28)s(40,40,20)+**
t(24,40,28)s(8,32,12)s(16,48,12)+c(32,32,12)+s(40,24,28)*+
s(32,40,20)s(40,24,20)s(48,24,20)s(48,40,12)t(32,48,20)+-*-
s(24,16,20)c(16,40,12)+s(24,16,20)t(16,56,12)+*s(40,40,28)-
t(24,40,12)t(32,24,20)c(24,32,20)c(24,24,20)*t(40,56,12)+*+
s(40,32,20)s(24,16,20)+s(32,40,28)c(24,24,20)s(40,32,28)*+-
t(24,40,28)c(24,24,20)*t(40,32,12)-t(32,32,28)c(24,24,12)-+
s(40,16,12)s(48,48,20)+t(40,56,12)-s(32,24,20)c(48,32,12)+*
t(40,48,20)s(40,24,28)s(32,24,28)t(24,40,28)-*+s(24,32,20)-
s(40,24,20)s(48,16,20)t(48,56,12)s(16,16,12)c(40,24,20)++**
s(8,24,12)s(32,32,20)t(16,24,12)+c(48,24,12)-+t(24,32,28)*
c(40,40,20)s(24,48,12)-t(24,16,12)t(40,48,12)+-s(24,40,12)+
s(40,40,20)c(32,32,28)c(24,32,20)t(16,56,12)+-t(24,24,20)+*
s(32,32,28)s(24,24,28)*t(32,40,28)s(24,32,20)**s(16,48,20)+
s(48,24,20)s(48,40,12)c(40,40,12)+s(16,48,12)+-s(24,24,28)-
t(40,24,12)s(32,48,20)t(24,32,28)s(24,48,12)-++s(40,24,28)*
c(24,40,12)c(48,16,12)+s(8,8,12)c(32,32,28)s(40,48,20)-+*
s(40,24,20)t(40,16,12)c(32,40,20)++s(40,32,12)t(48,48,12)+*
s(40,24,20)s(16,8,12)s(32,32,28)t(24,40,20)-s(16,16,20)-++
c(24,16,12)s(48,32,20)+s(32,40,28)t(40,56,12)c(48,24,12)+-*
c(24,32,20)s(32,32,28)s(32,24,28)s(16,24,20)--*t(16,48,12)+
c(48,24,12)s(40,16,20)+s(40,32,28)s(32,24,20)+t(40,48,20)+*
s(40,24,20)c(24,32,20)-s(8,24,12)s(8,32,12)++t(32,24,20)-
t(40,32,12)c(48,16,12)s(32,48,20)c(24,40,20)*+s(32,48,20)*+
c(40,40,20)s(48,48,20)s(48,32,12)-s(48,40,20)*s(32,32,12)+-
s(40,32,20)t(24,32,28)c(32,16,12)s(24,48,20)+*c(40,16,12)+-
t(24,32,28)s(16,24,20)*c(48,48,12)c(24,32,20)+s(40,40,20)*-
c(32,24,20)s(32,32,12)c(32,32,28)s(40,48,20)s(40,24,20)+-+-
s(24,40,28)s(40,24,20)t(48,32,12)--c(32,40,12)-s(24,24,28)*
t(24,48,20)s(32,48,20)c(32,32,28)c(40,40,12)-*t(16,32,12)-+
c(32,16,12)s(40,40,28)s(40,24,28)+s(48,16,20)*c(32,32,12)-+
s(40,24,20)s(32,24,20)+s(32,24,28)c(32,40,20)**s(24,32,28)*
s(24,32,20)c(32,48,12)+s(16,48,12)+t(32,40,12)-t(24,48,20)*
s(8,48,12)s(40,24,20)c(32,32,20)*c(48,32,12)c(32,32,12)+*+
s(32,32,28)s(32,16,20)t(32,24,20)-s(32,40,28)+*s(24,48,20)*
c(40,32,20)s(32,24,28)s(24,16,20)t(24,32,28)+**t(24,24,12)+
s(32,40,20)s(16,24,20)+s(24,40,28)t(40,24,20)-s(24,24,28)*-
t(32,32,20)s(24,40,28)t(40,48,12)-*s(24,32,12)t(32,48,12)++
s(40,48,12)c(32,32,20)s(40,40,20)s(48,48,12)-*s(16,24,20)-+
s(24,40,28)t(32,40,28)s(40,16,20)-s(32,32,28)t(24,32,28)*--
c(24,32,20)t(32,40,28)s(32,24,20)+*s(32,40,28)*c(40,32,20)*
s(40,32,20)c(40,24,20)s(40,40,28)**s(32,24,20)t(40,48,12)+*
t(16,16,12)s(32,32,20)+t(48,40,12)t(32,48,12)+c(24,32,20)+*
s(32,24,28)t(24,40,20)c(48,40,12)s(32,40,28)s(24,48,20)*+*-
s(16,32,20)s(32,48,20)s(32,16,20)c(24,24,20)*++t(24,48,28)+
c(24,32,12)c(24,24,20)s(8,40,12)c(32,40,20)+*s(32,32,20)*+
c(24,32,20)c(32,32,20)s(24,48,12)-c(32,16,12)-+s(8,16,12)+
c(32,32,20)s(24,24,12)s(32,48,20)+*t(24,24,12)-c(48,48,12)-
s(16,24,20)s(24,24,20)s(24,32,28)t(32,32,28)c(40,40,12)-*+*
c(40,40,20)t(48,48,12)c(40,24,20)+*s(24,16,20)+t(40,32,12)-
s(32,40,28)s(32,24,28)t(40,16,12)-s(40,32,20)*-s(40,40,20)-
c(24,24,20)c(40,16,12)-s(24,32,20)*c(24,48,12)+s(24,24,28)*
c(32,40,20)s(32,40,28)s(24,48,20)-*s(24,24,28)s(8,24,12)-+
t(32,24,20)s(48,24,20)+c(24,40,20)s(32,24,28)*c(48,32,12)+*
s(40,32,28)s(32,24,28)*s(32,32,12)-s(24,32,20)s(32,16,12)--
t(24,40,28)c(24,24,12)+s(16,16,20)-c(48,48,12)-t(32,40,20)-
s(32,40,28)s(16,16,12)s(40,24,28)c(40,32,20)*+t(32,32,12)-*
c(40,24,20)t(32,24,12)s(24,40,20)+-s(40,32,28)s(24,40,20)-*
t(48,24,12)t(40,40,20)+t(24,32,12)s(40,48,20)+s(24,48,20)*-
c(40,40,20)s(16,16,12)s(40,48,20)t(40,40,20)++*s(24,40,28)*
s(24,48,20)c(48,40,12)+s(24,24,28)-s(40,32,20)-c(32,40,12)+
s(40,40,12)s(40,48,12)+t(40,24,20)+s(40,32,20)s(48,40,20)*-
t(24,40,28)s(48,32,20)-c(40,40,12)+s(40,32,20)*s(32,48,12)+
s(32,24,20)t(24,24,20)c(40,24,12)-s(32,24,20)+t(24,32,12)-+
s(40,32,20)s(48,32,20)s(48,48,20)*s(32,16,12)t(16,24,12)++-
s(16,32,12)t(32,48,20)t(48,16,12)s(48,32,20)++c(24,32,20)-+
c(40,32,20)t(40,48,20)t(48,48,12)++c(40,24,20)*t(32,40,28)-
s(16,32,12)s(32,32,28)c(32,24,20)*+s(24,32,28)*s(24,24,20)*
t(32,24,20)c(24,24,20)t(40,32,20)-s(32,32,28)*c(32,24,20)*+
s(32,24,28)c(24,40,20)t(40,16,12)+t(48,40,12)+s(48,40,12)-*
s(32,16,20)c(16,40,12)+t(32,32,20)-s(24,8,12)c(40,40,20)+-
s(32,24,20)s(32,8,12)c(48,16,12)t(24,16,12)+c(16,32,12)++*
s(16,48,20)s(32,48,20)*s(32,40,20)t(40,32,12)s(8,32,12)+-+
s(40,40,28)t(24,32,20)t(24,48,20)s(24,24,20)-+s(24,32,28)**
c(32,32,28)s(32,32,12)s(24,16,20)+c(32,32,20)*-t(32,48,20)*
s(24,48,20)c(24,32,20)s(40,32,12)-t(32,24,20)++s(40,32,20)*
c(24,16,12)s(48,40,20)s(40,24,20)-+s(8,40,12)c(24,24,20)+*
s(32,40,20)s(32,32,20)*t(32,48,12)-s(40,40,28)*c(48,16,12)+
s(32,40,28)t(32,32,28)*c(40,24,20)s(48,24,20)*-s(48,32,20)-
s(24,24,28)c(32,40,12)c(24,24,20)+c(32,40,20)*t(32,40,28)**
s(24,40,20)t(32,48,20)-s(32,48,20)+t(40,48,20)t(40,32,12)+*
c(32,32,28)c(40,16,12)-s(16,48,20)-s(40,8,12)+s(40,24,28)-
s(40,40,28)t(16,32,12)t(32,32,28)++s(24,32,28)*s(16,16,20)-
t(32,40,28)s(48,24,12)c(32,32,20)+*t(32,48,28)s(40,40,20)**
s(40,24,28)s(32,24,28)c(24,40,20)*t(32,40,28)*-t(48,56,12)+
s(32,24,28)t(24,48,20)c(16,48,12)s(32,24,12)++*s(24,32,20)*
t(32,40,28)s(24,32,20)s(16,32,20)*c(40,24,20)s(40,40,20)*--
t(48,48,12)s(32,24,12)+s(24,32,12)+c(16,32,12)-s(48,48,20)+
s(24,24,28)s(16,48,20)s(24,32,20)c(32,24,20)*+*s(24,32,12)-
t(24,32,28)c(40,32,12)-s(24,48,20)-s(24,32,28)s(48,16,20)-*
c(40,24,20)s(40,32,28)s(40,32,20)t(32,40,28)*s(16,16,12)++*
s(32,24,20)s(32,24,28)c(24,16,12)-s(40,24,28)*t(24,24,20)-+
s(32,48,20)t(32,48,28)t(32,56,12)-*t(16,32,12)t(24,32,20)+-
c(40,24,20)s(40,8,12)c(32,32,12)+s(48,24,20)+c(24,32,20)-*
s(16,32,20)s(32,48,20)c(16,32,12)+t(24,32,28)s(16,40,20)*--
s(32,48,20)c(32,40,20)*s(48,40,20)t(40,24,12)-+s(16,48,20)-
s(32,48,20)s(48,16,12)s(40,40,28)c(32,32,20)*t(24,48,12)-+-
c(48,48,12)s(40,32,20)+t(40,24,20)s(48,8,12)-*s(40,16,12)+
s(24,24,20)t(32,40,28)t(32,24,20)c(24,32,20)t(32,24,20)-+*+
t(32,32,28)c(32,32,20)*s(16,24,20)s(32,8,12)s(40,32,20)+--
s(40,32,28)s(40,32,12)-t(24,48,28)t(32,32,28)-c(32,32,12)+-
s(48,40,12)s(8,48,12)+s(32,32,28)t(40,24,20)-+c(40,40,20)*
s(40,24,28)s(48,16,20)t(32,24,20)--t(24,24,20)s(16,48,20)++
t(32,48,20)c(40,32,12)-c(40,32,20)c(24,32,20)*+t(40,56,12)-
s(40,40,20)s(48,32,20)*s(48,24,20)s(16,16,12)++c(32,40,20)*
s(40,24,20)s(32,32,28)s(40,32,28)*c(32,32,20)*c(32,40,20)*+
s(32,24,28)s(16,32,12)s(48,40,20)+-s(24,24,12)-c(32,32,28)*
s(24,24,28)c(24,40,20)s(32,32,12)-s(40,40,20)+c(40,24,20)++
t(24,56,12)c(24,32,12)+t(40,24,20)+s(32,24,12)-c(40,16,12)+
s(24,32,20)s(40,40,28)s(48,16,20)-*t(32,48,28)c(48,48,12)-+
c(24,24,12)s(48,40,20)+s(40,24,20)+s(16,32,20)s(32,32,20)+-
s(24,48,20)c(16,16,12)+s(16,40,20)s(24,40,20)c(40,24,20)-*-
t(48,48,12)s(40,24,28)t(32,32,12)-+s(24,24,20)s(32,48,20)+-
s(32,8,12)c(24,16,12)c(48,16,12)+s(32,16,20)*+s(24,40,12)+
s(40,40,28)c(40,32,20)c(32,40,20)s(40,40,12)-+c(40,24,12)--
c(40,32,20)s(48,40,12)-t(32,24,20)+c(24,24,20)t(24,32,28)*-
s(32,40,28)c(32,40,20)c(24,24,20)+s(48,40,20)*-t(48,40,12)+
s(32,32,20)t(40,24,12)-c(24,40,20)t(24,40,28)**s(24,16,12)-
s(32,40,28)t(24,32,28)c(32,32,20)c(40,24,20)*-c(24,40,12)+*
t(40,48,12)c(24,24,20)+t(24,32,20)s(40,40,12)--t(32,32,20)-
t(40,32,20)t(48,48,12)t(40,32,20)c(48,24,12)t(32,48,28)+*+*
c(24,40,20)s(24,32,28)*s(24,48,20)-s(32,40,12)s(8,40,12)++
t(24,40,28)t(48,24,12)+s(40,40,28)*s(24,40,12)s(48,32,20)++
c(32,24,20)t(16,16,12)c(24,40,20)t(40,24,20)-s(24,48,20)*++
s(32,32,28)s(48,32,12)t(40,24,20)+s(32,32,20)+*s(24,40,20)-
s(16,40,20)c(24,32,20)c(16,40,12)-+t(32,24,20)t(32,40,20)--
t(32,56,12)s(16,32,20)t(24,32,20)++t(32,40,28)c(32,24,20)*-
t(32,40,28)c(32,24,20)s(40,32,12)--s(40,40,28)c(40,40,12)--
s(32,32,20)t(24,40,12)s(48,24,12)+t(32,48,28)t(32,32,20)---
s(40,32,20)s(16,16,20)c(32,24,20)t(32,48,20)-+*t(32,32,28)+
s(40,48,20)s(8,40,12)+t(32,32,20)-c(16,24,12)+s(16,32,20)*
s(16,16,20)c(48,32,12)c(24,24,20)+c(32,24,12)t(24,40,20)+*-
s(40,40,20)c(40,24,20)s(24,40,12)t(40,32,20)+s(40,32,28)***
s(16,16,20)t(40,48,20)c(24,24,12)+-c(40,40,12)+s(24,24,20)-
t(24,32,28)s(40,24,20)c(32,32,20)s(40,16,12)-s(40,40,20)*+-
c(40,32,20)s(32,24,28)t(24,32,28)*+s(40,24,28)s(32,16,20)**
s(16,16,20)c(48,16,12)+c(32,32,20)-t(40,24,20)+s(48,24,12)-
t(32,24,20)t(40,16,12)c(32,40,12)++s(24,32,28)s(32,32,28)**
s(40,40,20)s(16,48,20)+s(32,32,28)c(40,24,12)-s(40,16,20)-*
s(24,16,20)s(40,40,28)t(32,40,28)*s(48,32,20)-s(24,32,28)*+
s(40,24,28)s(48,32,12)-t(24,48,12)t(32,24,12)++s(24,40,28)*
c(16,16,12)s(24,32,20)+s(32,24,28)*c(32,48,12)+s(16,8,12)-
s(32,32,28)s(24,48,12)c(40,24,20)+c(40,32,20)*c(40,16,12)+*
c(48,48,12)s(32,48,20)c(24,40,20)s(24,48,20)c(40,48,12)-*++
s(48,24,20)s(24,24,28)-s(48,40,12)c(32,40,12)+s(32,48,12)-+
s(48,24,20)s(24,40,20)+t(40,16,12)-s(32,40,28)t(16,48,12)-*
t(32,40,20)s(48,48,20)+c(32,32,28)*s(16,48,20)c(40,16,12)+-
c(16,24,12)t(16,40,12)c(32,16,12)++s(16,32,20)*c(16,48,12)+
s(16,24,20)s(32,32,20)t(24,48,28)t(40,32,20)t(40,16,12)+-++
s(24,32,28)s(32,40,20)+c(40,24,20)s(32,40,28)s(16,32,20)*+-
s(32,16,20)s(24,40,28)-s(40,24,12)-t(24,40,12)+t(32,16,12)-
s(40,24,28)c(40,32,12)-s(40,32,28)s(16,48,12)t(40,16,12)+-*
c(24,32,20)t(24,40,28)*c(24,32,20)s(24,24,20)+t(24,32,28)**
s(48,24,12)s(16,32,20)+t(32,32,28)c(16,40,12)-s(48,48,20)--
t(24,32,28)c(40,48,12)s(48,16,12)+-t(32,48,20)s(16,16,20)+*
s(40,32,28)s(32,32,28)s(24,16,20)-t(24,48,20)-s(40,16,20)+*
s(32,40,20)s(24,48,20)s(40,40,12)-+t(32,40,12)-s(40,32,12)-
s(40,40,28)s(16,16,20)t(48,32,12)+-c(32,32,28)*t(24,40,28)-
s(48,40,20)t(24,40,12)s(48,32,20)t(48,24,12)s(48,40,12)+-+-
c(32,32,28)s(16,24,20)-t(32,40,12)-c(24,48,12)t(32,32,28)+*
s(24,32,20)s(48,48,20)s(32,48,20)t(16,32,12)+*t(32,32,20)+*
s(48,48,20)s(48,24,20)+t(24,32,28)t(24,40,12)-+s(32,40,20)*
t(48,24,12)s(16,32,20)s(32,32,28)t(40,40,12)-*s(32,24,12)-+
c(48,32,12)t(32,24,20)c(40,32,20)*+s(40,40,20)*c(24,48,12)+
c(32,32,28)s(16,40,12)-s(32,24,28)s(16,16,20)-*t(40,24,20)*
s(40,24,20)s(32,24,28)s(40,32,20)*+t(16,16,12)t(24,40,20)+-
t(32,32,20)c(48,40,12)t(40,48,12)+c(40,32,20)s(40,16,20)+*+
c(32,40,20)c(40,24,12)-s(32,24,20)-t(24,48,12)-s(24,40,12)-
t(40,40,20)s(48,16,20)c(16,40,12)+c(16,40,12)--s(40,24,20)+
s(24,40,20)s(32,32,28)s(16,8,12)s(24,8,12)+t(40,16,12)+-*
c(40,40,20)c(32,24,20)s(40,32,28)s(24,16,20)-t(24,48,20)+*-
c(24,24,20)s(40,40,12)c(32,24,12)+*c(40,40,20)c(24,32,12)-+
c(32,40,20)s(24,32,28)*s(40,48,20)s(16,40,20)+*t(40,24,20)-
s(32,40,20)c(48,24,12)+c(48,48,12)c(32,48,12)++c(40,32,20)-
s(40,24,28)t(16,16,12)s(32,16,20)+t(16,40,12)+s(16,16,12)-*
c(40,40,20)s(32,32,28)t(24,56,12)s(24,48,12)++*t(40,32,20)*
t(24,32,28)s(32,16,12)t(32,40,28)c(40,24,20)*+s(32,32,20)**
s(40,32,20)c(32,40,20)s(48,40,12)-*t(16,16,12)+s(32,40,12)-
c(32,32,28)c(40,24,12)-c(32,24,12)c(32,48,12)+-s(32,32,20)-
s(48,32,20)t(32,40,12)+s(16,32,20)+c(24,32,20)+s(24,24,28)*
c(32,40,20)s(32,32,20)s(48,40,20)s(40,24,28)s(24,48,20)-+**
t(24,40,28)c(40,40,20)s(48,48,20)c(40,24,20)--s(16,48,20)+*
s(48,40,20)c(24,32,20)t(16,16,12)-t(40,40,20)+s(24,24,12)-*
c(32,32,28)s(48,32,12)-t(24,16,12)t(32,40,20)t(32,24,20)-+-
s(24,24,28)s(24,24,20)c(32,24,20)s(48,40,20)+*-c(24,32,12)-
s(16,32,20)c(40,32,12)t(32,32,28)c(48,48,12)s(32,32,12)+*+-
s(24,32,20)s(48,32,20)s(24,32,20)c(32,16,12)--+s(32,24,28)*
s(16,32,20)s(40,48,20)c(32,40,20)*+c(32,24,20)*c(24,24,12)+
s(32,32,28)c(32,24,20)*s(32,24,20)t(40,32,20)+*t(24,40,28)-
s(16,24,20)c(24,24,20)*t(40,16,12)t(32,40,20)++s(16,16,20)-
c(40,40,20)s(16,32,20)s(24,8,12)t(24,32,28)+s(16,48,20)---
c(24,40,20)c(32,24,12)c(40,48,12)+t(32,24,20)+t(48,56,12)-*
s(40,32,20)c(32,24,20)c(40,24,20)*t(32,32,20)c(16,16,12)+*-
s(40,16,20)t(32,48,20)s(40,32,20)t(32,40,20)-s(24,32,28)++*
c(40,32,20)c(40,24,20)s(24,40,28)*s(16,16,20)+*s(16,32,20)+
c(24,24,12)s(40,48,12)+t(16,32,12)-t(48,40,12)-t(40,48,12)-
c(32,32,28)s(24,40,20)-s(32,40,12)+s(32,32,28)*t(32,32,28)-
t(24,40,20)c(32,32,20)t(24,40,20)*t(16,56,12)+*t(32,40,28)*
s(16,40,20)s(32,24,28)c(24,24,20)*-t(32,48,12)s(32,16,20)++
t(32,48,12)s(48,32,20)s(48,16,20)s(48,24,12)--+c(32,48,12)+
s(8,16,12)s(16,48,12)+t(24,32,28)t(24,16,12)c(24,24,12)+--
s(24,24,28)s(24,32,28)s(8,24,12)-s(40,16,20)-t(32,32,12)-*
c(40,40,20)c(32,40,20)s(32,32,28)+*s(32,40,28)t(48,48,12)-*
s(48,16,12)t(32,40,28)s(40,32,28)t(40,24,12)-*+t(24,32,20)-
c(32,24,20)s(40,24,28)*s(24,24,28)s(8,24,12)-*c(24,16,12)+
t(32,24,12)t(40,40,20)+t(32,24,12)c(48,16,12)+s(40,8,12)--
c(40,32,12)s(48,16,20)s(16,48,20)+c(16,32,12)c(32,32,20)+*+
s(32,48,20)s(24,48,20)t(24,32,28)*-t(24,48,20)+t(16,40,12)+
s(32,40,20)s(24,32,28)+t(16,56,12)c(16,24,12)+s(8,8,12)+*
c(40,24,20)s(40,32,28)s(32,24,28)s(16,16,20)-+c(24,40,20)-+
c(24,32,20)s(40,24,28)c(32,32,20)+*t(24,48,28)-s(32,40,20)+
c(32,32,20)t(24,24,20)*s(24,24,28)t(32,24,12)-s(32,40,28)*+
s(24,48,12)s(24,32,28)s(40,16,12)-s(32,40,12)t(32,48,20)+-+
s(48,40,20)c(40,24,20)s(24,32,12)-*s(48,24,12)t(24,40,20)++
s(16,32,20)s(24,48,12)s(40,24,28)+c(24,32,20)t(24,16,12)-*-
c(32,32,20)s(48,40,12)-c(24,48,12)-c(32,32,20)t(32,24,12)-*
s(32,40,20)s(40,24,28)c(32,24,20)-+s(24,40,12)-t(24,32,12)+
t(24,56,12)s(16,32,20)t(32,48,12)+s(40,32,28)s(32,32,28)**+
c(32,24,12)t(32,56,12)+t(48,48,12)+s(48,40,12)-c(32,40,20)+
c(24,32,20)s(16,40,20)+s(24,48,20)t(40,48,20)--t(24,48,28)+
c(32,24,12)c(48,40,12)+s(40,32,20)s(40,40,20)t(32,32,12)---
s(40,32,28)s(24,24,20)t(48,24,12)+t(24,32,20)*-s(48,16,20)*
s(24,32,20)s(32,32,28)s(48,40,20)s(40,40,28)t(40,32,12)-*-*
c(40,40,20)s(40,16,20)+s(32,48,20)-s(40,24,20)+c(32,32,20)-
t(24,56,12)s(40,32,20)s(16,24,20)s(48,32,20)t(40,32,20)*+*+
c(24,40,12)t(24,32,20)+s(32,32,20)c(16,32,12)-+t(32,24,20)-
s(8,48,12)s(24,24,28)+c(32,32,28)s(16,48,12)-*s(40,24,12)-
s(24,24,28)s(24,16,12)-t(32,48,28)s(24,16,12)+s(16,24,20)--
c(32,24,20)s(40,32,20)t(32,24,20)-+s(24,24,20)c(24,32,20)**
s(40,40,28)c(40,32,20)+t(24,40,20)c(32,24,20)+*s(24,48,20)-
s(32,32,28)c(16,32,12)-s(32,48,20)t(16,40,12)s(32,24,12)++-
s(16,32,20)c(32,40,20)s(32,32,20)t(16,40,12)s(40,32,20)+*--
s(32,40,20)s(24,40,28)t(32,40,28)**s(16,32,12)-s(40,48,12)-
t(24,40,28)t(40,48,20)c(24,40,20)+s(24,48,12)s(32,16,20)+**
c(32,24,20)s(40,32,20)*s(40,40,28)s(32,24,20)*s(24,24,20)+*
c(32,40,20)s(40,24,12)-s(40,8,12)+t(24,32,20)s(24,24,20)*+
c(40,32,20)s(40,40,12)s(16,40,12)+-s(40,16,20)+s(40,32,28)*
t(32,32,20)s(24,40,28)s(40,40,28)s(40,24,20)-+s(24,24,28)**
s(24,32,28)c(40,32,20)*c(16,40,12)-t(40,48,20)s(16,48,20)--
t(24,32,28)s(40,24,28)*c(32,32,20)s(16,32,20)t(24,40,20)--*
t(32,40,28)c(48,16,12)c(32,24,20)t(24,48,28)t(24,24,20)+*+-
c(24,40,12)c(32,24,20)s(48,16,20)-t(24,32,20)*t(16,40,12)-+
c(32,48,12)s(40,24,28)s(32,24,20)-s(48,8,12)s(40,40,12)+-+
s(32,32,20)t(40,48,12)+s(32,24,28)s(16,24,12)-t(48,24,12)--
c(40,16,12)s(24,40,28)+c(40,24,12)-s(24,48,12)-c(40,40,20)+
s(48,48,20)c(40,40,20)t(32,40,28)*t(48,32,12)+t(40,48,12)--
s(24,40,28)s(40,32,28)*t(32,24,20)t(40,32,12)--c(24,32,20)*
s(40,48,20)s(8,24,12)+t(32,40,12)-t(32,32,28)s(32,48,20)*+
s(16,32,20)c(32,48,12)t(40,24,12)s(16,24,20)++*t(40,24,12)+
t(24,40,28)t(48,16,12)t(24,48,28)s(24,48,20)*s(16,48,20)*+*
t(16,40,12)s(40,40,28)+t(24,32,28)*c(40,32,12)t(32,32,20)+*
t(32,48,20)s(24,24,28)t(24,32,28)s(40,32,12)-c(48,48,12)+--
c(40,24,20)s(40,32,12)s(40,48,20)+c(24,32,20)s(24,40,12)-+*
t(24,40,28)c(40,48,12)s(40,32,12)+-t(24,32,28)s(48,32,20)-*
t(24,48,28)s(32,8,12)+s(24,32,28)c(40,24,20)s(32,32,28)**-
s(16,24,20)t(40,24,12)t(40,56,12)s(8,8,12)++s(16,8,12)++
t(32,24,20)s(40,32,28)*t(24,16,12)t(24,48,12)++s(48,24,20)-
c(32,32,28)s(32,48,20)c(40,40,20)s(24,32,20)---c(48,48,12)-
s(32,48,20)c(32,32,20)+t(24,32,28)-s(32,16,20)+c(32,40,20)*
c(16,40,12)s(24,32,28)c(40,24,12)-t(32,32,28)*c(32,40,20)*+
c(24,24,20)c(32,32,20)+c(40,24,20)c(32,24,12)--s(32,32,20)*
t(32,24,12)t(32,40,20)+s(48,32,20)c(32,16,12)-t(48,16,12)--
c(32,40,20)s(24,32,20)t(48,40,12)+*s(32,24,12)+t(32,40,28)*
s(40,24,28)s(32,24,20)c(40,16,12)-c(32,40,20)t(32,48,28)*+*
s(32,40,28)t(24,40,28)c(24,40,20)s(32,24,28)*t(32,48,20)-+*
t(24,24,20)t(32,40,28)s(24,40,20)t(24,40,20)s(24,48,12)+**-
t(40,40,20)t(40,56,12)c(48,48,12)+c(16,48,12)+s(32,24,12)++
t(24,48,20)t(24,40,28)s(16,24,20)-t(32,40,28)*+s(40,40,28)*
s(24,32,28)t(16,24,12)t(32,48,28)s(32,40,20)*+*s(32,32,20)*
t(40,32,20)t(32,32,28)t(24,40,28)s(40,24,20)t(24,24,20)++**
c(24,24,20)s(8,24,12)-c(32,40,12)c(48,48,12)+c(16,24,12)+*
s(32,40,20)c(48,40,12)-c(32,32,12)c(32,24,12)++s(32,32,20)*
s(16,16,20)t(24,32,20)-s(40,32,12)s(32,48,20)c(48,40,12)+++
c(24,40,20)c(24,32,20)s(16,8,12)+*s(48,8,12)+t(24,40,12)-
s(32,24,28)s(24,32,20)s(24,32,28)s(40,40,20)*-c(40,40,12)+*
s(32,32,28)s(24,40,20)-c(32,24,12)-s(24,40,12)+t(24,32,28)*
s(32,40,28)s(32,32,20)-t(48,40,12)c(40,40,20)s(32,24,28)-+*
s(16,24,20)c(24,24,20)*s(16,32,12)c(16,24,12)+t(48,56,12)+*
c(32,40,20)s(40,48,12)t(48,16,12)+t(24,48,20)c(40,48,12)++*
s(16,32,20)t(24,40,20)t(24,24,12)s(8,32,12)+c(24,40,12)+*-
t(16,40,12)c(48,16,12)+s(24,24,12)+s(16,48,20)-s(32,48,20)+
s(48,16,12)s(32,24,20)+c(16,16,12)+s(24,40,20)c(32,40,20)*-
t(32,40,28)s(24,32,28)s(40,24,28)*s(16,48,20)+*s(32,40,12)-
t(24,40,28)s(24,32,20)c(24,24,20)c(32,24,20)*+*t(40,24,20)-
c(16,48,12)c(32,40,20)+t(24,40,28)t(32,48,28)*-c(48,24,12)-
s(32,40,20)s(24,32,28)*s(40,32,28)c(40,40,20)*s(32,16,12)+*
c(32,32,12)t(32,40,20)s(32,48,20)s(40,48,20)*++t(24,32,28)*
s(24,24,20)t(24,48,12)+c(40,24,20)s(16,32,20)-s(32,40,28)*+
t(24,40,28)s(48,40,20)s(32,40,28)s(24,48,20)-+*t(32,48,12)+
t(32,48,20)s(16,48,20)+t(24,48,20)s(24,32,12)s(32,8,12)+--
s(32,32,28)c(16,16,12)+s(24,16,12)-s(24,24,28)+c(48,48,12)+
t(32,48,28)s(24,32,28)c(32,40,20)*t(32,32,20)*c(48,32,12)+-
c(40,32,20)t(16,48,12)t(32,40,20)+*c(24,32,20)t(32,32,28)*+
t(32,48,20)s(40,32,28)s(32,40,28)*t(24,40,28)s(24,32,20)--+
s(32,32,28)s(40,24,20)s(16,48,20)t(32,48,28)*t(32,40,12)++*
c(32,32,28)s(24,16,20)t(32,32,28)s(40,32,20)*+*s(32,32,12)-
s(24,24,28)s(48,40,20)t(32,24,20)-t(16,56,12)++s(40,32,28)-
s(16,40,20)t(32,56,12)+c(24,24,12)+s(32,24,28)s(32,16,12)-*
s(24,32,20)s(16,24,20)+s(24,32,12)s(32,24,20)c(40,40,12)-+*
s(48,16,20)c(32,40,20)t(24,40,28)*t(40,24,12)+-c(40,16,12)-
c(32,40,20)c(40,24,20)+t(32,48,20)s(32,32,20)+-s(40,48,12)+
s(48,40,20)c(24,24,20)t(32,32,28)c(48,24,12)s(32,8,12)+-*-
s(48,16,20)s(24,24,28)t(32,40,28)--s(48,32,12)-c(24,32,20)-
s(32,24,20)s(40,24,28)t(24,24,20)+c(32,40,20)*c(40,24,20)+*
s(16,40,20)c(40,40,20)s(8,32,12)+s(24,24,12)+t(32,32,28)+*
c(48,16,12)t(24,16,12)c(32,40,20)s(16,40,20)-++t(40,48,20)-
s(16,40,20)c(40,24,20)s(40,32,20)t(16,32,12)s(40,48,12)++*-
s(16,32,12)s(8,24,12)s(32,48,12)s(16,32,12)++t(16,32,12)-+
s(16,32,20)t(48,56,12)+c(24,32,20)s(16,24,20)-t(24,48,12)--
s(40,24,28)s(24,40,28)t(40,48,12)-s(24,24,20)s(32,32,20)--*
t(16,56,12)s(40,24,28)s(48,16,12)s(40,48,20)t(32,48,20)-+*+
c(32,40,20)t(40,16,12)s(24,24,20)++c(48,24,12)-s(40,40,12)-
c(32,16,12)s(48,40,20)s(48,40,12)-+t(32,40,28)*t(24,48,20)+
t(32,32,12)s(8,40,12)s(48,40,20)c(32,40,20)*++t(48,40,12)-
c(40,48,12)t(32,32,28)s(8,8,12)c(24,32,20)s(16,48,12)-+*+
s(24,24,28)s(40,48,20)-s(8,8,12)s(24,16,20)+s(40,32,20)-*
s(40,48,20)t(16,24,12)+t(32,32,28)c(40,48,12)-s(32,32,12)-+
s(16,16,20)s(24,32,20)s(16,24,20)+t(32,40,28)*+t(24,40,28)*
s(24,32,20)c(24,24,20)*c(32,32,28)c(32,32,28)s(16,48,20)*-*
s(24,24,20)s(24,16,12)-s(24,32,28)t(24,24,20)t(16,16,12)+*+
s(24,40,20)s(24,24,20)*s(24,24,20)t(32,24,12)-t(48,56,12)++
s(16,32,20)s(32,24,12)-s(16,48,20)+t(24,48,20)*s(32,32,12)+
c(32,40,20)c(32,40,20)t(24,40,20)c(32,24,20)c(16,40,12)+**-
s(40,48,12)t(32,32,28)+s(16,40,20)+s(40,48,12)s(8,24,12)+*
t(32,48,28)s(32,48,20)t(32,32,28)*t(40,32,12)+s(40,16,20)+-
s(24,24,28)s(24,40,28)s(24,16,20)-t(32,48,20)-*s(40,32,12)+
s(16,48,12)c(32,32,20)+s(48,48,12)t(24,48,28)+*c(16,32,12)+
s(40,40,28)s(48,32,12)t(32,56,12)c(24,24,20)c(32,16,12)-++*
t(32,16,12)c(40,40,12)+c(32,40,20)t(32,48,20)-c(32,24,20)+*
s(16,16,20)t(40,24,12)+t(24,32,20)s(48,48,20)+t(24,40,28)*-
t(16,40,12)t(40,32,20)c(40,16,12)++s(24,48,12)-s(32,32,20)*
s(16,48,20)c(32,32,28)s(24,48,20)s(16,24,20)c(32,32,28)*-*-
t(32,40,28)t(40,40,12)-s(40,24,28)c(40,40,20)t(24,40,20)-*-
t(32,40,20)c(48,48,12)+t(24,40,28)s(8,40,12)++c(32,32,28)*
s(32,24,28)s(24,48,20)c(24,48,12)t(40,24,12)+t(32,32,20)-+*
s(48,40,20)t(32,32,20)-s(8,24,12)s(32,24,28)+c(24,40,20)*+
s(32,48,20)c(40,16,12)t(32,40,12)+-s(40,40,28)*t(48,40,12)-
s(40,32,28)c(32,32,12)s(48,8,12)++c(32,16,12)-s(24,24,12)+
s(40,48,20)c(32,40,20)c(48,40,12)-c(32,32,12)c(40,48,12)+*-
c(24,40,20)s(16,40,20)c(24,40,12)-t(32,48,28)+*c(40,32,12)+
t(40,56,12)s(16,16,20)s(32,16,20)t(32,56,12)+-+t(40,32,20)+
s(24,40,28)s(16,16,12)t(24,48,20)s(24,40,20)*+t(40,56,12)+*
s(32,40,28)s(40,32,20)s(32,40,20)s(16,32,20)+s(40,48,20)*--
s(8,48,12)t(40,32,20)+c(32,24,20)t(32,56,12)c(32,16,12)+*-
s(24,32,28)s(32,40,28)s(32,24,20)*c(40,24,12)t(40,40,20)+++
s(40,40,28)t(32,48,28)t(32,32,28)-+s(24,24,28)-t(48,48,12)-
s(24,16,12)t(24,48,28)s(32,40,20)-s(32,40,12)++t(24,24,20)+
c(48,48,12)c(40,24,20)t(24,40,28)-c(48,48,12)s(40,16,20)+*+
c(48,32,12)s(32,8,12)+t(16,48,12)+s(24,32,20)+t(24,32,28)*
s(32,48,20)s(32,24,28)t(32,48,20)+s(40,16,12)-*t(48,32,12)+
t(32,24,20)c(24,40,12)+c(24,32,20)s(16,48,20)*-t(16,40,12)+
s(16,24,12)t(32,32,20)+s(40,40,20)s(40,48,20)s(8,8,12)+*-
c(24,24,20)s(24,48,20)-c(24,32,20)c(32,32,20)+*s(32,16,20)+
s(40,32,20)s(24,40,28)c(40,32,20)s(48,48,20)*s(16,48,20)+*-
s(40,48,12)c(40,32,12)+c(40,32,20)s(40,24,28)*t(24,56,12)+*
c(24,16,12)s(40,40,20)s(8,40,12)t(40,24,12)+-+c(24,24,20)*
s(40,24,20)s(48,24,20)*c(32,24,12)-t(32,40,28)+s(40,40,28)*
c(24,32,20)s(32,32,20)+s(32,16,12)-t(40,32,12)-s(32,48,12)+
t(32,32,20)c(48,24,12)+t(32,48,28)s(24,48,20)s(24,32,20)*++
s(40,32,20)t(40,32,20)c(48,24,12)+*s(32,40,28)*c(48,48,12)-
c(24,24,20)c(32,24,12)-t(16,56,12)s(32,24,20)s(40,48,20)-+-
t(32,56,12)s(16,24,12)+c(40,48,12)t(32,16,12)+t(40,24,20)+-
s(40,24,20)s(24,40,20)c(32,40,20)*s(32,24,20)-s(40,32,20)+*
s(48,32,12)s(24,32,28)s(16,40,20)-+s(40,40,28)*s(40,32,20)*
c(24,24,20)s(32,24,28)+s(32,32,12)-s(24,16,20)-s(32,32,28)*
s(40,24,28)c(24,32,20)t(32,48,12)-s(32,48,12)+s(32,40,20)**
c(32,48,12)s(40,24,20)c(24,24,12)-+s(48,8,12)-c(24,40,20)*
s(32,32,28)s(40,40,28)*s(40,32,20)*t(48,40,12)t(40,48,20)++
s(32,32,20)s(40,32,28)s(24,40,20)c(40,40,12)s(24,24,12)++**
c(24,40,20)t(40,24,20)s(24,40,28)s(40,32,28)*+c(48,32,12)-*
t(32,40,20)c(32,24,20)t(24,24,12)-s(32,48,12)c(48,16,12)+-+
s(16,24,20)t(24,32,12)s(8,16,12)+s(48,24,20)c(40,24,20)*+*
c(24,24,20)s(32,40,28)s(16,24,20)t(32,48,28)t(32,32,20)+--*
c(40,16,12)t(24,40,28)+c(40,40,20)s(48,16,20)-c(24,40,12)+*
s(16,24,12)c(40,24,20)s(16,48,20)t(24,56,12)-+s(32,16,20)*+
t(32,40,20)s(24,24,12)+s(24,32,20)s(24,48,12)c(16,24,12)+*-
t(24,40,28)s(32,32,20)s(32,48,20)c(32,40,20)*c(40,40,12)--+
s(24,32,20)t(24,40,28)*t(32,24,12)-s(48,16,20)s(48,24,20)++
s(40,48,20)s(32,48,20)c(24,32,12)-*s(40,40,20)+t(40,24,20)-
c(24,24,20)s(40,24,12)-s(40,32,28)+s(24,40,20)*s(16,24,12)-
s(48,40,20)s(24,16,12)+s(32,48,12)-s(32,32,12)-s(40,40,28)*
s(8,16,12)s(40,24,20)s(16,16,20)-t(32,16,12)-t(24,32,28)++
s(48,32,20)s(16,40,20)s(24,32,28)c(40,32,20)*+t(32,24,20)-+
c(32,24,20)s(16,48,20)-t(24,48,28)-t(48,56,12)t(32,40,28)+-
s(48,32,20)c(32,24,20)s(32,40,28)s(16,48,20)s(16,24,20)+-*-
t(24,48,28)s(24,32,20)t(40,24,20)c(40,40,12)t(16,24,12)+-+*
s(32,24,20)s(48,16,12)-s(16,24,12)-s(16,32,20)+c(24,32,12)-
s(32,48,20)s(40,16,20)s(32,40,28)s(48,24,20)++c(24,48,12)-*
s(24,32,28)c(24,40,12)t(24,48,28)s(16,40,12)-+c(32,40,20)**
c(16,24,12)s(48,48,12)s(32,40,12)+c(32,16,12)t(48,48,12)+-+
t(32,40,28)s(40,40,28)s(48,8,12)s(32,48,12)+t(24,32,20)+**
s(24,32,28)s(32,16,12)-s(48,40,20)c(40,24,20)-c(24,24,20)+*
t(32,32,28)s(24,32,20)s(48,32,20)+c(32,24,20)**c(40,40,20)*
c(32,32,20)s(32,24,20)s(32,48,20)t(32,40,28)*+*s(40,32,12)-
t(32,48,12)c(40,32,20)s(16,48,12)s(40,32,12)+-s(40,40,12)-+
c(40,32,12)s(16,16,20)+s(16,32,20)s(24,40,28)*c(40,40,20)+*
s(16,16,20)s(8,8,12)c(48,32,12)+-t(32,32,28)+s(40,40,20)*
s(24,40,28)s(24,24,28)t(16,32,12)-t(32,32,28)+s(24,24,20)-+
s(48,32,20)t(24,32,28)s(40,24,20)c(24,24,20)+*+c(32,40,20)*
c(32,40,20)s(32,40,28)s(40,32,12)-*c(16,24,12)+t(24,32,20)*
s(48,32,20)t(24,40,12)+t(48,40,12)s(24,48,20)+*s(16,8,12)+
s(24,16,12)s(16,40,20)s(40,24,28)-+c(16,16,12)t(24,40,12)+-
t(24,48,20)s(32,24,20)s(48,16,12)+s(32,16,20)*s(24,32,28)*+
c(24,16,12)s(16,24,20)+t(24,32,28)*s(48,40,20)+s(24,24,28)*
s(24,48,20)s(32,32,12)-c(16,24,12)c(32,40,20)c(24,40,20)*+*
c(32,32,20)c(48,16,12)-s(24,24,20)+s(32,24,20)*s(32,32,20)*
s(40,40,20)c(24,40,20)*s(48,48,20)t(40,32,20)++s(48,48,12)-
s(40,32,20)s(40,16,20)c(40,32,20)*c(24,48,12)+*c(24,48,12)-
s(24,16,20)t(32,48,28)+c(32,32,20)t(24,32,12)-s(32,40,12)--
t(24,48,20)t(32,32,20)c(40,40,20)t(32,40,20)---c(16,40,12)+
s(32,48,12)t(48,48,12)+s(32,16,20)c(40,32,20)t(32,32,28)+*+
t(24,48,28)s(24,40,28)*t(16,56,12)s(48,24,20)+-s(24,40,12)-
s(32,24,20)s(40,24,20)s(8,48,12)+*s(16,32,12)+t(40,48,12)+
s(24,32,20)s(24,40,20)t(40,48,12)t(24,32,28)s(40,32,28)*+**
s(32,24,28)c(40,32,20)s(40,16,12)-s(16,32,12)+t(32,40,28)*-
c(32,32,20)c(24,40,20)t(32,32,28)*s(16,40,12)--s(8,32,12)+
t(24,32,28)s(48,8,12)s(32,16,20)t(24,40,28)-s(40,24,28)*++
t(32,32,28)s(24,32,12)-t(24,40,28)+s(40,24,20)*s(32,8,12)+
s(40,32,28)c(40,24,20)s(32,24,28)*t(40,40,20)+c(40,24,20)**
s(40,48,20)s(32,32,28)c(32,40,20)*t(16,48,12)-s(16,40,20)+*
t(32,24,12)s(40,40,20)+s(48,40,20)*c(48,40,12)+t(48,24,12)-
s(40,32,20)t(24,40,20)-t(32,48,12)+t(32,16,12)s(24,40,20)+*
s(8,40,12)s(40,24,28)+s(40,32,20)t(32,40,28)s(8,16,12)+**
t(16,16,12)c(16,32,12)s(32,24,12)++s(8,40,12)+s(24,40,20)*
s(48,16,20)s(24,24,28)+c(32,32,28)*t(40,32,20)-s(32,32,28)-
c(40,32,20)s(32,24,28)t(32,48,28)t(48,56,12)-c(40,32,20)*-*
s(40,16,20)s(24,32,20)s(32,48,12)--c(40,16,12)+t(32,40,28)-
c(32,40,20)t(16,32,12)s(48,24,12)+-t(24,32,20)s(16,16,20)+-
c(40,32,20)c(24,24,20)c(40,32,20)-s(24,32,28)t(40,48,20)-*+
s(16,48,20)s(24,40,28)+c(24,24,20)s(24,32,20)*-t(32,24,12)+
s(24,24,20)s(40,32,28)c(32,24,20)c(32,24,12)-t(48,32,12)---
s(48,16,12)t(32,32,20)+s(32,40,28)s(24,16,12)s(40,32,20)+**
s(40,32,28)c(48,24,12)-t(40,32,20)+s(48,40,20)*c(40,32,20)*
t(32,48,20)s(24,24,20)s(8,32,12)-s(40,8,12)t(24,48,20)+-+
t(24,48,20)t(32,24,12)+t(32,40,20)t(32,40,28)t(24,40,20)*+*
s(24,40,28)c(32,32,20)+c(32,32,12)-s(32,32,28)c(24,40,20)-*
s(32,24,28)s(40,24,12)-s(48,16,20)-s(32,40,28)*s(40,32,28)*
s(32,24,28)c(24,40,20)c(40,32,12)-s(8,48,12)-s(40,24,28)+*
c(24,24,20)t(16,40,12)c(40,40,20)+c(24,24,20)-s(48,48,20)*+
t(24,40,28)c(40,40,20)c(48,16,12)s(32,48,12)+-t(40,48,20)+*
c(40,40,20)c(32,32,28)s(48,48,12)t(16,32,12)+-*t(48,24,12)-
s(32,40,28)s(32,32,28)c(40,24,20)*t(32,32,20)+t(24,32,12)-*
t(16,16,12)c(32,40,20)s(48,48,20)t(48,24,12)+*t(32,56,12)-+
s(32,24,20)s(48,40,20)s(40,40,20)c(24,24,20)-*+t(24,24,20)*
t(40,24,20)t(32,56,12)+s(40,32,20)c(24,32,20)*+s(40,24,20)*
s(32,48,20)c(40,40,20)s(24,24,20)+*s(48,40,20)s(48,24,20)--
t(32,32,28)c(32,40,20)s(40,40,28)*+s(24,24,28)*t(24,16,12)-
s(40,32,28)s(48,32,20)t(32,32,12)+c(24,40,20)+*c(16,32,12)-
t(24,32,28)c(24,48,12)c(16,16,12)+-t(24,24,12)+t(24,40,28)*
s(16,40,20)t(24,48,28)*c(24,32,20)s(16,32,20)s(16,40,12)-*+
s(24,32,28)s(24,24,28)s(16,24,20)--t(40,32,20)c(32,24,12)+-
t(48,40,12)c(40,48,12)+s(16,48,12)+s(40,24,20)s(32,40,28)*+
s(40,40,20)s(16,8,12)s(16,24,12)++s(32,8,12)+s(48,48,20)-
s(48,24,12)t(32,48,28)t(24,32,20)t(32,40,12)t(40,56,12)++*+
s(24,24,20)c(24,40,12)-s(40,32,20)s(24,32,12)--t(40,24,20)-
s(16,24,12)c(16,32,12)+s(40,24,28)s(24,24,20)*s(32,16,20)*+
c(40,32,20)s(48,48,20)+t(40,40,12)-t(24,40,28)s(32,32,12)--
s(32,32,20)s(40,48,12)-c(40,24,12)+c(40,40,20)c(40,24,20)**
s(16,48,20)c(24,32,20)s(40,40,28)t(40,24,20)*-s(8,48,12)++
c(32,32,12)t(32,48,28)+t(48,32,12)t(24,48,20)++t(40,32,20)-
t(24,40,28)s(40,48,20)s(32,32,20)c(24,32,20)t(24,40,28)--+*
s(24,32,12)t(32,40,28)t(24,48,12)-+s(24,16,20)c(16,32,12)--
t(24,48,28)c(32,40,20)c(24,40,12)-t(24,24,20)+s(32,40,28)*+
t(32,40,20)s(48,40,20)s(40,40,28)s(32,40,12)c(16,40,12)+-*-
s(48,48,12)t(24,56,12)s(32,48,20)s(40,24,20)-s(40,48,20)*++
s(32,40,20)s(24,24,28)s(32,32,28)*s(32,16,20)s(24,24,20)**-
c(32,32,20)s(24,16,20)-t(16,40,12)-c(32,32,12)+s(16,40,20)-
c(24,32,20)s(40,32,28)*s(48,32,12)c(32,48,12)+t(24,24,12)+*
s(32,32,28)t(40,40,20)s(32,40,20)*-c(32,24,12)s(40,32,20)+-
s(16,16,20)c(40,32,12)t(40,48,20)+c(24,40,12)-+s(24,40,28)*
s(16,24,20)t(32,40,12)+c(24,32,20)*s(40,24,28)s(24,24,28)**
c(40,24,20)c(24,40,20)+s(48,24,20)s(48,40,20)s(48,32,20)+**
s(48,40,20)t(32,40,28)+t(24,32,28)s(8,32,12)--t(40,48,20)-
c(32,40,20)s(48,40,20)*s(16,16,20)s(8,40,12)+t(32,40,28)-+
c(40,40,20)t(24,56,12)c(24,48,12)+-s(24,32,12)-c(32,40,20)*
c(40,32,20)c(24,40,20)s(16,32,20)--s(32,32,28)c(32,40,20)*-
t(32,16,12)t(24,40,20)+s(48,16,20)s(16,16,12)+s(24,32,28)-+
c(40,32,20)s(32,24,28)s(40,40,20)s(40,16,20)s(40,16,12)----
c(32,32,28)s(48,32,20)-t(24,40,28)s(40,40,20)c(24,48,12)+**
c(24,40,20)c(32,24,20)s(40,40,28)s(24,32,28)**t(32,40,20)+-
c(40,40,20)c(32,24,20)*t(16,16,12)+t(40,48,12)+c(32,32,20)*
s(40,32,12)s(24,48,12)c(48,48,12)s(40,16,20)+t(48,48,12)-++
s(24,40,20)s(40,48,12)-s(24,16,20)-s(24,40,28)t(32,24,20)-*
s(40,16,20)s(40,32,20)-s(24,16,20)+s(32,24,28)s(40,32,28)**
s(8,8,12)t(48,16,12)+s(40,16,20)c(32,32,12)+t(32,32,20)*+
t(16,32,12)s(32,32,20)+s(40,40,28)t(32,40,28)**s(40,32,20)*
t(24,40,20)s(8,40,12)+s(40,40,20)+t(32,32,28)*s(16,32,12)-
c(40,24,12)c(48,32,12)+t(32,24,12)-s(40,40,28)*t(24,40,28)+
s(48,40,20)t(32,32,28)s(16,48,12)-+s(24,48,20)-s(16,16,20)-
s(16,48,20)s(40,32,28)c(40,24,20)s(32,40,20)---s(48,32,12)+
s(32,32,20)t(24,40,20)t(32,32,28)c(48,32,12)+*-s(48,48,12)-
s(40,24,28)s(32,40,20)t(32,40,28)t(24,24,12)+s(32,32,20)***
t(32,24,20)t(32,32,28)s(32,24,28)*s(24,48,20)-s(16,32,12)-+
s(48,16,20)s(24,16,20)-t(24,48,28)+s(24,48,20)s(24,48,12)--
t(24,32,28)s(40,32,20)*s(40,24,28)t(32,16,12)-s(24,24,28)*+
s(24,24,28)s(40,32,20)t(32,40,20)c(40,32,20)s(24,24,12)-*-+
c(48,32,12)s(24,40,28)s(40,48,20)-+s(40,32,20)*t(40,48,20)-
c(32,40,20)t(32,24,20)c(40,40,20)+s(24,32,28)-t(32,24,20)-+
s(40,48,20)s(16,32,12)+t(32,32,20)-c(40,32,12)s(24,48,20)+-
s(24,24,28)s(32,48,12)c(32,24,20)+c(48,32,12)s(24,24,20)+**
s(40,40,20)s(40,48,20)c(24,32,12)t(24,24,20)+-*t(32,32,20)-
t(32,48,28)t(24,48,12)c(40,24,20)s(40,32,20)*+s(16,32,12)+*
t(24,48,28)c(32,40,20)s(48,16,12)t(32,48,28)+s(16,24,12)+**
c(40,32,20)s(16,40,12)s(32,24,20)+s(32,24,28)*c(32,40,12)-*
t(48,40,12)c(24,16,12)s(32,40,20)s(40,32,28)*++s(24,24,28)*
c(32,32,20)s(48,48,20)t(32,40,28)c(16,32,12)-s(32,16,12)-+*
c(40,24,20)s(24,24,20)-s(48,8,12)s(40,8,12)+-s(40,40,28)*
t(16,48,12)t(32,24,20)s(24,48,12)+t(40,16,12)-+s(16,48,20)*
c(24,32,12)s(40,32,28)c(24,32,20)*s(24,32,20)s(40,16,20)--+
c(40,24,20)c(16,16,12)s(48,24,20)+t(48,24,12)s(16,32,20)+*-
s(48,16,20)s(40,16,20)c(48,32,12)s(24,48,12)++s(32,32,20)-*
s(24,40,28)s(40,40,28)*s(16,40,12)+s(32,32,20)*s(32,16,12)-
s(32,24,28)s(32,32,20)c(24,40,20)s(8,48,12)+*s(24,48,12)+*
t(32,48,12)c(24,24,20)s(24,16,12)s(16,48,20)+*s(24,24,20)*+
t(32,32,28)t(32,40,28)s(40,24,20)+*c(40,32,20)t(40,40,20)-+
c(32,32,20)s(32,32,28)s(40,40,20)s(8,48,12)+s(32,40,12)-*-
t(24,32,20)c(32,32,28)s(40,16,20)c(40,32,20)t(24,48,12)+*-*
s(40,24,28)c(40,24,12)t(32,24,20)+c(40,24,20)c(32,32,20)**-
s(24,24,28)t(24,32,28)-c(32,48,12)+s(16,48,12)s(40,48,20)+*
s(40,32,28)c(32,32,20)*c(32,32,20)s(16,16,20)-s(40,40,20)*-
s(40,32,28)s(48,40,20)s(24,32,20)c(24,40,12)-t(24,40,28)+-*
c(40,40,20)s(24,16,12)t(24,48,20)s(24,48,20)s(24,32,12)-++*
s(16,24,20)t(40,32,20)s(24,24,12)+-c(32,24,20)-c(40,40,20)+
t(24,48,28)s(48,48,20)+s(16,48,20)c(40,32,12)+-c(24,24,12)-
c(40,40,20)c(32,24,20)+s(24,32,20)s(40,40,20)+*c(32,24,20)*
s(32,32,20)s(24,32,20)+s(16,24,20)-t(48,32,12)-s(40,16,12)+
s(32,24,28)t(32,40,28)c(40,40,20)s(16,40,20)c(24,24,20)*-*-
c(40,24,20)s(32,40,28)c(40,24,12)s(40,40,12)+*-c(32,24,20)*
t(48,32,12)s(16,24,20)c(24,24,20)*s(16,32,20)++s(16,24,20)-
t(24,32,28)t(40,16,12)+t(32,24,20)s(32,48,12)+*t(32,24,20)*
s(40,32,28)s(40,32,12)s(32,48,12)+t(32,48,28)*-s(24,32,20)+
s(32,40,20)s(40,40,28)t(48,48,12)-s(24,24,28)*t(16,56,12)+*
c(24,24,20)s(8,24,12)-t(24,32,28)*t(32,32,28)*c(32,40,12)+
s(32,24,20)t(24,48,20)+t(32,16,12)-t(32,32,12)c(24,32,12)+*
c(32,32,28)c(40,32,12)t(24,32,12)+-t(24,48,12)-s(40,16,20)*
s(24,40,12)c(48,40,12)s(32,16,20)++s(48,48,20)-s(24,16,20)-
s(40,40,20)s(40,32,20)s(32,48,12)c(24,32,20)++c(40,40,20)**
s(24,40,28)t(40,40,12)t(32,32,12)+s(40,24,28)s(40,48,20)-+-
t(24,40,20)s(40,48,20)s(48,40,20)t(24,48,12)s(8,40,12)++*-
c(40,40,20)s(48,48,12)-c(24,24,20)s(40,40,28)-c(32,40,12)+-
s(40,24,20)s(24,32,28)s(48,24,20)-+t(24,48,28)-s(24,8,12)+
s(32,48,20)s(24,16,20)+c(32,24,20)-c(24,40,12)-t(40,56,12)-
s(40,40,28)s(48,16,20)-s(32,48,20)*t(24,40,28)*t(40,56,12)-
s(24,40,20)s(40,48,12)-t(40,32,20)c(48,32,12)+t(40,40,12)+-
s(32,16,20)t(24,40,28)s(48,16,20)+*c(32,32,20)c(48,40,12)-*
t(24,32,20)t(40,24,12)t(32,40,28)+s(32,40,28)*s(24,24,12)+*
t(32,32,28)c(40,40,20)*s(24,16,20)c(40,24,20)+*t(16,56,12)+
t(24,40,28)t(32,40,28)*s(24,40,28)s(24,40,20)--s(48,40,12)+
s(40,32,20)c(40,24,20)c(32,40,20)s(48,48,20)*-s(48,24,20)*+
t(32,32,28)s(32,24,20)t(48,24,12)c(32,24,12)+*-s(24,24,28)*
s(8,40,12)s(40,40,28)s(48,32,20)-+s(8,48,12)-s(24,48,12)-
c(24,32,20)t(24,32,28)s(32,48,20)+s(16,40,20)**t(48,48,12)+
s(40,32,28)s(32,40,12)s(24,40,20)s(32,24,28)*+*c(48,40,12)-
t(24,56,12)t(24,32,20)s(24,40,12)s(16,24,20)+*s(24,16,20)++
s(40,40,28)t(24,48,28)s(40,40,20)s(48,40,20)*+*s(48,48,20)*
c(24,40,20)c(32,32,28)t(24,32,28)--t(32,48,20)t(24,56,12)+-
s(24,40,28)c(24,24,20)-c(32,32,20)t(24,48,28)+*s(48,8,12)+
s(48,32,12)s(32,32,12)t(32,48,20)+t(32,56,12)-s(48,24,20)-+
c(32,40,20)c(32,32,20)*s(24,48,20)s(32,24,28)--s(16,40,12)+
s(40,40,20)s(48,40,20)s(32,32,20)t(24,40,28)*-*t(24,24,20)+
t(24,40,20)c(24,40,20)t(32,32,20)*t(16,48,12)++c(16,32,12)-
s(40,40,20)s(40,24,20)c(32,40,20)s(16,48,20)--t(24,24,20)--
s(32,24,28)c(40,16,12)-s(32,40,12)-t(24,16,12)-s(24,32,12)-
s(24,40,20)c(32,40,20)s(40,24,28)s(16,32,12)c(16,24,12)++**
s(32,24,20)t(32,32,20)*s(16,24,12)s(8,32,12)++t(24,56,12)+
t(24,40,28)s(40,24,20)-t(48,56,12)s(24,24,20)s(16,16,20)*++
s(32,24,20)s(48,24,12)s(16,40,12)s(32,16,12)++s(24,24,28)**
c(32,32,28)t(16,16,12)c(24,32,12)+-c(40,40,20)t(32,48,20)-*
s(40,40,28)s(40,40,12)s(48,32,20)c(24,24,20)-+s(24,40,28)-*
t(24,32,28)t(24,40,28)c(40,32,12)+*t(40,48,20)-s(40,16,20)-
s(24,40,28)t(40,32,20)+c(40,40,20)*t(24,40,12)-t(40,32,20)*
t(32,24,12)c(40,32,12)+t(16,32,12)+t(32,40,28)s(40,24,28)**
s(40,40,28)c(24,32,20)s(16,24,20)c(24,40,20)-t(32,40,20)+*-
s(16,32,20)s(24,24,20)s(16,24,20)+s(40,40,28)s(24,32,12)--*
t(32,48,28)s(8,24,12)+s(16,32,12)t(16,56,12)+s(24,32,28)+*
s(24,24,28)c(40,40,20)s(40,32,20)*s(32,40,20)*-s(24,40,28)+
t(32,32,20)s(40,8,12)t(32,40,28)s(32,40,28)s(40,40,28)**+*
s(32,8,12)c(24,16,12)+t(48,48,12)+s(24,40,28)t(24,48,20)--
s(40,32,28)t(24,32,28)s(24,32,20)*c(32,40,20)s(24,32,28)***
s(48,48,20)s(32,24,20)s(16,24,20)t(32,40,12)+s(8,40,12)--+
c(24,24,20)t(32,40,20)t(40,32,20)+c(16,48,12)--s(32,16,20)-
c(32,32,28)s(48,24,12)-s(32,40,28)*c(40,24,20)*s(24,16,20)+
c(24,40,20)s(24,24,28)c(48,32,12)t(40,16,12)+-t(32,40,28)--
c(32,32,20)t(16,24,12)s(32,32,20)+s(40,48,12)+*s(32,48,20)*
c(16,24,12)s(48,40,20)+s(32,24,28)s(40,32,12)--s(48,24,20)-
s(32,24,12)s(24,40,28)c(32,40,20)*+t(32,48,12)-t(40,24,20)-
s(24,40,20)s(32,16,20)t(32,48,28)+s(32,24,28)+c(32,16,12)-*
c(32,32,20)s(32,48,20)*s(32,40,28)s(40,24,28)s(24,32,28)**+
s(24,40,20)s(24,24,28)c(24,40,12)-s(32,32,28)-+s(32,32,20)-
t(24,24,12)t(32,24,20)s(40,40,28)+t(24,32,28)-s(40,32,20)-+
s(24,40,20)c(40,16,12)t(24,32,12)++s(40,32,28)c(24,32,20)**
t(24,32,28)s(24,24,28)s(24,40,28)*+t(40,24,20)t(48,40,12)++
t(24,32,20)s(32,32,20)s(40,24,20)-+c(32,24,20)*t(32,24,12)-
t(24,32,28)c(40,40,20)c(24,32,12)s(24,24,12)c(48,24,12)++*-
s(40,40,20)s(8,8,12)s(40,24,20)t(32,32,20)-++s(16,40,20)-
t(32,32,12)s(40,48,20)c(16,48,12)+s(40,48,12)s(24,16,12)+-+
s(40,48,20)c(40,24,20)c(32,32,20)*+s(32,32,20)c(40,24,12)-*
c(24,24,20)t(24,40,28)s(32,16,20)c(24,24,20)s(40,24,28)**+*
t(24,40,28)s(32,32,28)*s(32,32,20)s(24,32,28)t(24,48,20)-*-
s(24,32,28)t(24,16,12)-s(32,32,20)+c(40,32,12)-t(24,24,12)-
t(24,40,28)s(32,24,28)c(32,16,12)-+c(24,32,12)-c(16,48,12)-
s(16,16,20)s(48,32,12)s(24,24,20)+s(24,24,28)*t(24,32,28)*+
c(48,24,12)s(16,32,20)s(24,40,28)*+s(48,40,20)-s(16,8,12)+
t(32,40,28)s(24,24,28)s(32,24,28)c(16,40,12)-s(40,40,12)---
s(40,40,20)c(40,40,20)s(32,32,28)*s(48,40,12)-*c(48,40,12)+
s(40,40,20)t(32,40,12)s(48,48,12)+*t(40,32,20)t(24,48,28)-+
s(48,32,20)c(40,24,20)s(32,40,20)s(40,24,28)*s(40,24,12)+*-
s(40,16,20)s(32,16,20)s(24,16,12)t(24,48,20)+-*s(24,40,20)-
s(24,8,12)c(32,24,20)c(24,24,20)+t(48,24,12)-s(16,32,20)-+
s(32,48,20)s(40,24,28)s(24,24,28)c(16,48,12)+*c(48,24,12)++
s(32,48,20)t(40,32,12)+s(40,32,28)c(32,32,28)s(16,24,20)*-*
t(32,32,28)s(16,48,20)-s(40,32,20)*s(48,16,20)t(48,16,12)--
t(32,32,28)s(32,48,20)s(24,16,20)+*s(24,16,12)+s(24,32,20)*
s(32,32,28)s(24,40,28)c(40,32,20)c(32,16,12)s(40,24,20)+*-*
c(32,32,28)t(32,32,20)s(40,24,20)+s(8,8,12)+s(32,8,12)+*
t(24,24,20)s(32,40,20)s(48,48,12)s(32,24,28)+*+c(32,24,20)*
c(32,32,20)s(32,40,20)t(32,32,20)*-t(40,16,12)+s(24,40,28)*
s(24,32,20)c(32,40,20)t(32,32,12)-t(24,40,20)s(24,8,12)++*
s(24,16,20)t(24,24,12)-s(24,40,28)+s(16,16,12)-s(40,24,12)-
s(32,40,28)c(40,24,12)-t(48,32,12)+t(32,48,28)t(32,48,12)-*
t(24,40,28)t(16,16,12)s(40,40,20)+t(40,48,12)t(40,24,20)+*+
s(32,24,20)t(40,24,20)+c(24,24,20)s(24,32,20)*c(48,40,12)+-
c(40,32,12)s(48,24,20)t(40,24,20)s(48,48,12)+*+s(24,24,28)*
t(32,40,28)s(32,24,20)s(48,24,20)c(24,48,12)+*-s(48,24,12)+
c(16,24,12)c(32,24,20)c(16,24,12)c(32,24,12)++s(24,40,28)-+
c(40,24,20)s(32,24,20)t(16,32,12)-*t(24,56,12)+s(24,40,28)*
c(40,24,20)t(48,16,12)s(48,48,20)+t(32,48,28)+c(32,48,12)-*
t(32,32,28)c(24,24,20)s(32,48,12)+*c(40,24,20)*s(32,48,12)+
c(32,32,20)c(32,24,20)s(24,32,28)s(32,40,12)-**c(24,32,20)*
s(32,32,28)s(32,40,28)s(24,24,20)+s(24,48,20)*-c(40,24,12)-
s(32,40,28)s(32,32,28)s(32,32,12)-*s(40,16,20)s(40,32,12)--
s(40,16,20)s(48,24,20)c(48,24,12)c(32,24,20)++*t(40,32,12)-
s(16,48,20)s(24,48,20)*s(32,24,12)s(48,16,12)+s(40,16,20)*+
s(24,24,28)c(24,40,20)t(40,16,12)s(32,32,12)+t(32,48,20)+*+
s(40,32,28)s(32,48,20)c(24,40,20)c(16,16,12)+*t(24,40,12)--
t(16,40,12)s(16,24,20)+t(40,56,12)+s(32,32,20)s(16,32,20)*-
s(24,40,20)t(40,32,20)-s(40,24,20)t(24,48,28)+c(40,24,12)-+
s(32,16,20)s(40,32,20)s(40,32,28)s(8,48,12)+c(40,24,20)*+-
s(24,40,28)s(16,16,20)+s(48,16,12)c(32,24,20)+-s(32,40,20)-
c(24,32,20)s(24,32,28)s(48,48,12)+s(40,24,28)*-c(24,24,12)-
t(32,24,20)t(40,48,20)c(24,40,12)s(8,40,12)+-s(48,48,20)*+
c(32,40,20)s(48,8,12)s(24,32,20)+t(32,32,20)+*s(48,40,20)+
t(32,40,28)s(40,40,28)s(24,24,28)s(32,40,20)c(40,48,12)-*-*
s(32,40,20)t(40,24,12)-t(24,40,20)+s(32,40,20)s(48,32,20)+*
t(24,40,28)c(48,16,12)s(32,24,28)s(48,32,20)-++s(32,40,28)*
t(32,48,28)s(24,24,28)s(32,24,20)s(8,16,12)s(32,40,20)+*-+
s(32,24,28)s(16,16,20)t(40,40,20)t(48,48,12)-++t(32,48,28)-
s(24,24,28)c(32,40,12)t(48,24,12)++s(24,32,28)t(40,24,20)--
s(40,24,28)s(40,48,12)+s(32,24,12)-c(24,40,12)+s(32,24,28)*
s(32,40,28)s(24,40,12)s(40,40,20)+t(24,40,28)+*t(40,32,20)-
t(24,40,28)s(32,24,20)+t(32,16,12)-s(32,32,20)*t(32,32,20)+
c(24,24,20)s(16,8,12)+s(24,24,12)c(32,40,20)+*c(40,24,12)-
t(24,40,28)c(24,40,20)*s(16,32,20)c(40,32,20)t(24,48,28)+--
t(32,32,28)t(24,56,12)+s(16,40,20)s(8,32,12)-s(32,16,20)+-
s(8,16,12)s(48,24,20)+c(32,24,20)*c(32,32,20)+s(40,40,20)-
c(32,24,12)c(32,32,12)+s(40,16,20)t(40,24,12)-+t(40,24,20)*
c(16,40,12)t(48,32,12)+s(32,32,28)*t(24,40,12)+s(24,24,20)+
t(16,24,12)t(40,32,12)+s(32,40,20)+s(16,8,12)c(24,24,20)+*
s(32,32,28)c(40,24,12)-c(32,32,12)t(32,48,28)+t(48,56,12)-*
s(24,32,28)s(40,40,20)-s(24,48,20)-t(40,24,20)t(48,32,12)+-
s(48,48,12)s(24,16,20)s(32,40,12)s(32,24,20)+-+t(48,24,12)+
s(16,16,20)s(40,40,12)+s(24,40,28)*c(40,32,12)+c(40,24,12)-
s(40,32,28)c(24,40,20)s(32,40,28)s(40,24,28)-s(40,48,12)+-*
s(24,24,28)s(24,32,28)s(24,32,12)-*s(40,32,20)-s(24,8,12)-
s(24,24,20)s(16,40,12)+c(32,32,12)s(24,40,20)+*t(24,40,28)*
c(24,24,20)s(48,48,12)+c(40,40,20)+s(24,32,20)t(40,24,12)+-
s(32,32,28)s(8,16,12)s(32,32,28)s(48,40,20)*+s(40,48,12)+-
s(24,16,20)t(24,48,28)s(24,24,20)s(32,24,20)*+t(24,32,28)+*
s(16,32,20)c(24,40,12)-s(40,48,12)c(32,24,20)s(16,32,12)-+-
s(40,32,28)s(24,24,20)+t(24,32,28)*c(32,32,28)s(24,40,28)--
t(32,32,28)s(40,32,28)c(32,32,20)c(32,24,20)s(16,32,12)+*--
s(24,40,28)c(32,40,20)t(24,48,28)s(48,32,12)s(16,40,20)+--*
s(40,24,20)c(32,32,28)s(24,48,20)t(24,32,20)-*+c(32,16,12)-
c(24,32,20)s(16,16,12)-c(32,24,20)*t(32,32,20)c(32,40,12)++
s(32,48,12)t(16,48,12)s(40,32,20)+s(16,48,20)-+s(32,32,20)*
c(48,32,12)s(24,40,28)s(48,24,20)-s(48,48,20)-+s(16,16,20)+
s(40,24,20)t(40,48,12)+t(40,16,12)-s(40,32,12)-c(40,48,12)-
c(48,24,12)s(48,8,12)+s(24,32,28)t(24,24,20)--t(24,40,28)+
s(40,24,20)c(32,32,12)+s(24,40,20)s(40,40,20)*-s(32,40,28)+
t(24,32,20)t(40,40,20)+c(40,48,12)-s(24,32,28)s(24,16,20)*-
s(48,32,12)s(24,16,20)+c(40,32,20)*s(40,40,12)-t(24,40,20)+
s(24,16,20)s(16,32,20)s(24,40,20)s(32,48,20)--+s(32,48,12)+
s(40,32,28)s(24,48,12)-s(16,8,12)c(40,32,12)+c(48,48,12)+*
c(32,32,28)c(40,24,20)c(48,24,12)-s(16,24,20)+t(32,32,20)-*
c(24,40,20)t(32,24,20)t(40,32,12)c(32,24,12)+*c(40,16,12)+-
c(24,24,20)s(16,32,20)s(8,16,12)+s(48,8,12)+*s(16,24,20)*
s(48,48,12)s(40,48,20)s(40,32,28)t(24,56,12)+*+s(40,40,20)*
s(24,24,28)s(32,24,20)s(40,48,12)+c(32,40,20)s(40,32,12)-*+
s(40,24,28)s(32,32,28)s(24,24,28)+c(16,48,12)-c(40,40,12)--
s(24,24,20)s(32,16,20)s(40,16,20)*-t(24,32,28)+s(32,32,28)*
c(32,32,28)c(24,24,20)s(32,24,12)s(16,24,12)+-t(32,24,12)+-
s(40,32,20)s(24,40,28)t(32,48,28)+s(32,24,20)t(48,40,12)+**
s(32,40,20)t(16,32,12)s(48,40,20)s(40,24,28)*++t(24,40,12)-
