c(40,32,20)s(32,40,20)-c(24,48,12)t(40,32,20)++
t(16,16,12)c(40,24,12)+t(16,40,12)+t(32,32,20)-
s(24,40,28)c(48,32,12)+c(24,32,20)-s(16,48,12)-
s(24,32,28)s(40,24,20)s(40,24,12)-t(32,32,28)+*
t(40,48,12)s(40,24,28)s(32,32,28)+s(24,40,28)-+
c(24,40,20)s(48,16,20)t(16,56,12)t(24,40,28)+++
t(24,32,20)c(16,16,12)s(40,48,12)++s(48,16,20)+
t(40,32,12)s(48,40,20)s(48,40,12)-s(40,16,20)-+
t(24,40,20)s(32,16,20)c(24,24,20)s(32,48,20)+*-
c(24,48,12)s(40,24,28)c(32,32,12)-c(48,24,12)-+
s(32,24,20)s(48,16,12)c(24,32,12)++s(16,40,20)-
t(32,32,28)t(24,48,28)+c(16,32,12)-c(24,32,20)*
t(48,16,12)c(40,16,12)s(40,48,20)+c(32,32,20)-+
s(32,40,28)t(32,24,12)-c(32,24,12)-s(24,32,12)+
c(24,40,12)s(40,16,20)s(40,32,12)-s(48,48,12)++
s(16,24,20)c(32,24,12)-s(48,40,12)+t(24,32,12)+
c(40,32,12)c(48,24,12)+s(32,8,12)t(40,40,12)+-
s(24,32,28)s(24,8,12)s(8,24,12)+s(16,32,12)--
s(40,24,20)s(16,24,20)s(32,24,12)-+t(40,40,20)+
t(16,56,12)s(32,48,20)+s(24,32,28)-c(32,40,12)+
c(16,16,12)s(40,32,20)+c(40,48,12)+s(48,32,20)-
t(40,24,20)t(16,16,12)s(32,16,12)++s(24,24,20)*
s(24,32,28)s(40,32,20)c(32,24,12)+s(24,16,12)++
t(32,40,28)t(32,16,12)+s(8,40,12)t(32,40,12)++
s(40,16,20)c(32,32,12)+s(8,40,12)c(24,24,20)+-
c(16,48,12)s(8,8,12)+s(24,8,12)+t(32,40,28)-
s(8,24,12)t(24,40,20)c(24,24,20)s(24,40,20)*++
t(40,32,12)s(40,8,12)+s(32,8,12)s(32,40,20)++
s(32,16,20)c(32,24,12)s(32,40,12)+t(24,56,12)+-
t(32,24,20)s(8,32,12)+s(24,40,28)c(48,32,12)+*
s(24,24,20)t(16,48,12)+t(48,48,12)+t(40,32,20)-
s(8,8,12)s(24,32,20)t(24,48,20)-+s(16,8,12)-
s(48,24,20)t(32,32,28)s(16,40,20)+t(32,16,12)--
s(48,16,20)s(32,40,28)s(24,32,20)--s(16,24,20)+
c(32,24,20)c(40,24,20)t(40,48,20)t(48,56,12)+-*
c(48,16,12)t(24,32,28)+t(32,56,12)+s(48,24,20)-
t(40,32,20)s(8,48,12)+t(32,24,12)-t(16,40,12)+
t(48,16,12)s(16,48,20)s(40,40,28)c(16,48,12)+*+
c(48,24,12)s(48,48,12)+c(32,40,20)t(32,48,20)-+
s(48,48,20)s(48,16,20)+s(40,24,20)+t(16,32,12)+
c(32,24,20)s(48,40,20)c(48,32,12)-c(16,24,12)+-
t(24,32,20)s(32,48,12)-c(48,32,12)t(48,40,12)++
c(40,40,12)s(8,48,12)+s(32,40,12)t(40,24,12)+-
s(16,40,20)s(48,24,12)+s(40,32,20)s(48,48,20)++
s(24,32,28)s(32,24,20)s(48,48,12)++s(40,48,12)-
t(40,48,20)s(40,32,20)+c(48,48,12)c(32,32,20)++
t(32,40,28)c(40,32,20)s(24,40,28)*c(16,16,12)+*
s(32,16,20)s(40,32,12)-c(48,48,12)+s(48,48,20)+
s(16,48,20)s(16,40,12)t(24,48,20)++c(24,24,12)+
s(8,48,12)t(24,40,12)s(32,24,20)++c(16,24,12)+
t(32,32,28)t(40,24,20)+s(16,24,20)s(40,32,12)+-
c(48,16,12)s(24,32,28)+s(48,16,12)c(16,24,12)+-
s(40,24,20)t(40,56,12)s(32,32,12)+t(24,48,28)+-
c(48,40,12)s(40,16,20)c(40,48,12)+s(32,24,20)++
s(40,16,20)s(40,24,12)c(24,32,20)s(16,32,20)*++
s(24,32,28)s(32,48,20)*t(48,56,12)+s(48,16,12)+
s(24,40,28)c(16,24,12)c(24,40,12)+*s(16,8,12)+
s(24,40,20)s(48,24,20)+s(32,16,20)+s(40,32,28)+
s(32,32,28)s(24,40,28)c(32,40,20)*-s(40,48,20)+
s(32,24,28)s(32,32,28)s(48,32,20)*t(16,48,12)++
s(48,16,12)s(40,16,12)+t(16,56,12)t(24,32,20)++
s(32,40,12)c(16,16,12)t(32,32,20)t(24,40,12)-++
s(40,24,28)t(40,48,12)+s(40,16,20)-c(24,24,12)-
s(32,48,20)s(24,24,28)t(32,32,28)+s(40,24,12)-+
s(8,24,12)s(48,16,12)t(16,48,12)++s(8,32,12)-
s(48,40,20)s(32,32,28)s(40,32,28)t(32,56,12)+*+
c(32,24,12)c(16,48,12)s(40,48,12)++t(24,32,28)+
s(32,40,28)c(24,24,20)-s(32,32,28)+t(24,40,12)-
s(40,32,20)t(40,48,12)s(16,48,20)+-t(16,56,12)+
s(8,48,12)s(48,48,12)+s(40,40,12)-t(16,48,12)+
c(24,48,12)s(32,24,20)c(40,48,12)c(32,32,12)+-+
t(16,40,12)s(24,40,12)+c(16,16,12)s(32,24,20)++
s(48,32,20)s(40,16,20)s(48,32,12)-t(16,48,12)+-
t(32,56,12)s(24,32,28)+c(40,24,20)s(40,8,12)--
t(32,48,12)s(32,24,12)t(16,16,12)++s(16,48,20)-
s(8,24,12)c(16,24,12)+t(24,16,12)s(8,24,12)++
s(40,40,12)c(16,24,12)+c(24,48,12)+t(24,40,12)-
t(40,32,12)c(48,16,12)+s(40,40,12)t(40,48,20)++
c(24,40,20)s(40,32,20)t(40,48,12)+s(48,16,12)+-
s(32,24,28)c(32,40,20)-c(32,32,28)*t(32,24,20)-
s(24,48,12)t(24,48,12)s(48,48,12)++s(16,40,12)+
s(48,24,20)s(16,40,12)t(48,16,12)+-s(24,32,28)+
s(32,24,20)c(40,40,12)-c(32,16,12)c(32,40,12)++
s(32,40,20)s(32,32,20)t(24,48,12)++s(8,8,12)+
t(24,56,12)c(48,24,12)c(32,40,20)t(32,48,28)-++
c(24,24,20)c(24,32,20)t(32,32,28)-t(24,48,12)+-
s(16,16,20)s(40,32,20)t(16,40,12)+c(16,24,12)++
s(24,32,28)t(48,16,12)+t(24,24,20)s(16,8,12)++
t(24,48,20)t(32,48,28)s(24,24,12)+*t(40,24,12)+
t(32,32,12)c(24,16,12)+t(16,16,12)+c(32,40,12)+
s(48,24,20)s(24,16,12)s(32,32,12)+c(16,48,12)+-
t(32,24,20)s(16,40,20)c(32,24,20)-+c(40,40,20)-
s(32,32,28)t(32,48,28)-t(32,24,12)-t(24,48,28)-
c(24,32,20)t(48,40,12)s(32,48,20)+t(32,16,12)++
t(40,32,20)s(24,32,28)c(24,16,12)-+t(24,24,20)-
s(8,40,12)s(32,48,20)t(32,40,20)c(32,16,12)+-+
t(32,32,28)c(24,40,20)c(24,24,20)+s(40,32,28)--
c(48,32,12)t(32,40,28)+s(40,32,28)s(48,24,20)+*
c(24,16,12)c(40,48,12)t(16,56,12)+c(40,40,12)++
t(40,56,12)s(32,40,12)t(48,16,12)+c(40,32,12)++
s(48,48,12)s(48,16,20)+s(40,24,12)-t(16,56,12)+
c(32,24,12)c(40,40,12)+s(32,16,12)+t(32,32,28)*
s(32,16,12)c(48,24,12)+c(32,32,12)-s(24,16,20)+
t(24,16,12)s(16,40,12)s(24,48,12)++t(16,56,12)+
t(32,40,28)s(32,8,12)+t(40,32,20)-c(32,32,20)-
c(40,48,12)t(16,16,12)s(24,40,20)++s(32,24,28)-
s(16,8,12)s(48,24,20)+c(48,40,12)t(32,24,12)++
c(48,24,12)s(24,48,20)+t(40,48,20)s(32,32,12)++
c(40,40,20)t(32,40,12)t(16,16,12)+t(40,32,20)++
t(24,32,20)s(8,24,12)+c(32,32,28)*s(32,48,20)-
t(48,56,12)t(24,56,12)+s(40,40,20)+s(48,48,20)*
s(48,24,20)c(32,24,20)+s(48,16,20)t(24,24,20)++
s(40,16,20)c(32,40,20)-s(24,16,20)s(16,16,20)+-
s(40,40,20)t(48,40,12)t(32,48,20)c(48,48,12)-+*
c(24,32,12)t(40,48,12)+s(24,16,12)+t(24,40,20)-
s(16,40,20)s(24,32,12)-t(32,24,12)+s(16,40,12)+
t(40,32,20)c(32,32,12)t(16,24,12)s(40,48,20)+++
t(40,48,20)s(24,24,28)t(32,32,12)--t(48,32,12)+
s(24,32,12)s(40,32,20)t(40,40,12)-s(40,40,12)++
c(32,24,20)c(24,24,12)s(40,16,20)s(48,32,12)++*
s(32,40,20)s(40,24,12)-s(32,8,12)s(40,24,20)++
s(24,48,20)c(40,32,20)s(40,40,28)*t(40,24,20)+-
c(32,48,12)s(48,32,12)+c(16,48,12)s(48,24,12)++
c(32,16,12)t(48,40,12)s(32,40,20)c(24,32,20)*++
c(32,32,28)t(40,56,12)c(32,24,12)s(48,8,12)++*
t(40,40,20)s(40,8,12)+c(48,48,12)s(32,32,20)+*
s(40,32,12)t(32,48,12)+t(24,32,28)+s(24,16,20)*
c(40,24,12)t(24,48,12)+s(48,16,20)t(32,40,28)-+
s(48,8,12)t(24,48,20)t(40,32,20)++s(40,40,12)-
s(16,40,20)s(24,40,28)c(24,32,20)s(40,24,12)+*+
s(16,24,20)s(48,48,20)s(32,8,12)s(32,40,12)++-
c(40,16,12)s(16,24,20)s(16,40,20)-+t(24,48,28)+
s(32,24,20)c(32,32,20)c(16,32,12)-t(48,56,12)+*
s(40,40,28)c(32,16,12)t(32,48,20)+s(24,48,12)--
c(32,40,20)s(32,16,20)s(24,24,28)++c(32,32,12)-
t(24,24,12)t(16,24,12)s(32,40,12)++c(40,40,12)+
s(16,40,20)s(48,48,12)s(24,48,12)+t(16,24,12)++
t(32,32,12)t(40,32,12)+s(40,16,20)t(40,56,12)++
t(40,48,20)s(24,32,28)c(24,24,20)s(16,32,20)+++
t(32,48,20)c(40,40,20)c(16,32,12)c(48,48,12)+*+
c(40,40,20)t(40,48,12)-c(24,48,12)+c(24,48,12)-
s(16,24,12)c(40,24,20)t(32,32,28)*+t(24,56,12)+
s(16,48,20)s(32,16,20)s(16,32,20)t(48,48,12)++*
s(40,40,28)s(40,48,12)t(16,16,12)++c(24,32,12)-
t(32,48,12)t(24,32,20)+s(32,32,12)-s(16,16,20)+
t(16,32,12)c(48,24,12)+s(48,40,12)+t(32,48,28)-
t(40,24,20)s(48,16,12)-s(48,48,12)+s(24,40,20)+
t(32,32,28)s(40,32,28)s(48,48,12)-t(32,48,28)*-
s(32,40,12)c(40,40,12)s(24,16,12)++t(16,16,12)+
t(16,48,12)t(32,32,20)c(24,40,12)s(32,16,20)+*+
c(24,24,20)c(24,24,20)s(32,32,28)*t(24,48,20)--
s(32,32,20)c(24,32,20)s(24,24,28)**s(16,16,12)+
s(48,40,20)t(32,24,20)+c(24,32,20)*s(48,32,12)-
s(24,48,20)s(24,32,12)c(40,24,20)+s(24,8,12)+-
t(32,16,12)s(32,40,28)s(16,40,20)-c(24,32,20)*+
s(32,48,20)t(32,40,12)t(32,32,12)+t(32,32,20)+-
s(48,48,20)t(32,24,12)+c(24,48,12)t(48,56,12)+-
t(24,16,12)c(32,40,20)+c(40,48,12)s(16,24,12)+-
s(32,48,12)c(48,40,12)+s(48,40,20)+s(48,32,12)-
t(24,32,28)s(32,40,20)-t(40,24,20)+s(24,32,28)+
c(24,24,20)s(40,32,28)s(24,40,12)t(40,24,20)+*-
c(32,32,12)t(24,40,20)+s(8,32,12)s(40,16,20)++
s(16,40,12)s(40,32,28)+s(40,24,12)-c(40,40,12)-
c(24,32,20)c(40,24,12)s(16,32,20)+c(40,24,12)--
t(16,40,12)s(32,40,20)s(8,40,12)+s(24,24,28)-+
s(24,40,20)t(16,56,12)s(48,40,20)+-t(32,24,12)+
s(48,24,20)s(32,24,28)c(24,48,12)t(24,16,12)+++
s(32,32,28)t(40,48,20)t(40,24,20)+s(32,16,20)+-
t(32,40,12)s(24,24,20)+t(40,16,12)+s(32,40,28)*
t(40,24,20)s(16,48,20)s(48,32,12)+t(24,32,28)-+
s(24,48,20)s(40,32,28)+s(32,24,28)-c(40,32,20)-
s(48,24,12)s(16,32,20)t(32,48,28)++s(32,40,28)*
s(32,40,20)s(8,16,12)s(40,48,12)c(40,24,12)++*
c(40,32,12)s(48,32,12)s(24,24,12)s(40,16,12)+++
t(24,56,12)t(24,40,20)s(32,8,12)++s(40,24,28)*
s(24,24,20)s(24,40,28)+s(40,16,20)c(32,48,12)+*
t(24,32,20)s(24,40,20)+c(32,40,12)-s(32,24,20)+
c(40,24,20)t(32,40,28)t(40,32,20)-c(40,40,20)+-
c(32,32,20)s(48,48,20)s(48,24,20)+*t(16,48,12)+
s(40,48,20)s(48,16,20)s(24,24,12)+c(16,24,12)++
t(32,40,12)c(48,40,12)+s(40,24,28)*t(24,24,12)+
c(16,48,12)c(40,48,12)+s(8,48,12)-c(24,40,12)-
t(24,40,28)t(48,32,12)s(24,40,20)+t(32,48,28)--
s(32,48,12)c(40,24,20)+t(32,48,28)s(16,48,12)+-
s(32,32,28)s(32,32,20)s(16,48,12)+-s(16,16,12)-
c(24,16,12)s(48,8,12)c(40,16,12)++s(32,16,12)-
s(40,32,20)t(32,48,20)c(48,32,12)++c(32,24,20)-
c(32,24,20)c(40,16,12)-s(40,32,20)+s(16,32,12)-
t(32,40,28)t(32,48,20)s(32,32,20)++c(48,48,12)-
s(48,32,12)t(24,24,20)+s(40,24,20)s(16,32,20)+*
s(24,32,28)s(32,32,20)s(16,16,20)--c(24,32,12)-
t(16,16,12)s(40,16,12)+t(40,32,20)+t(40,24,20)+
s(32,24,20)s(48,24,20)+s(16,40,12)t(48,24,12)++
s(40,16,20)t(32,40,28)t(24,56,12)+s(24,32,20)-+
c(32,32,28)c(32,48,12)s(40,16,20)+t(24,48,20)-*
c(24,24,20)c(24,32,20)t(24,48,28)+c(48,16,12)++
t(48,40,12)c(24,48,12)s(24,40,20)s(16,32,12)-++
c(32,48,12)s(24,24,28)+s(32,8,12)t(32,48,28)++
c(24,40,20)c(48,16,12)t(16,16,12)+c(32,40,20)++
s(32,40,20)t(40,24,12)c(24,40,12)+t(48,40,12)+*
t(32,32,20)t(24,32,28)t(32,48,28)*+s(16,40,20)+
s(48,8,12)c(32,16,12)+s(48,40,20)s(32,40,20)*+
c(32,24,20)s(40,40,28)+c(24,24,20)-s(8,16,12)+
c(40,24,20)s(40,16,20)+s(32,16,20)s(32,40,20)+*
c(24,40,20)t(40,32,12)-s(48,32,20)+s(48,48,20)+
c(16,24,12)c(24,32,12)+s(40,40,28)s(32,48,20)-+
t(32,32,28)t(24,40,28)+s(16,48,20)t(32,56,12)+-
s(24,40,20)c(32,24,12)-s(8,32,12)-t(48,40,12)+
c(24,24,20)s(32,8,12)+c(48,40,12)t(24,16,12)++
s(40,24,12)c(16,40,12)s(48,48,12)t(16,48,12)+++
c(32,32,12)t(32,40,12)c(16,40,12)+s(48,24,12)++
s(24,40,20)s(24,16,20)s(32,48,12)+*t(24,32,28)+
s(16,16,20)s(24,8,12)s(48,32,20)t(24,32,20)++*
s(8,8,12)s(32,24,12)+s(24,32,12)t(16,16,12)++
s(16,16,12)s(16,40,12)+c(16,48,12)+t(24,48,20)-
s(32,40,28)c(16,40,12)t(48,32,12)+s(48,16,20)+-
t(24,32,28)t(32,24,20)+s(24,24,28)*c(40,40,20)*
t(32,48,28)t(40,32,20)t(16,24,12)+c(48,48,12)-+
t(24,32,28)s(48,32,20)c(48,48,12)++t(24,48,28)-
s(40,32,28)t(40,48,20)+c(24,40,20)s(40,48,12)+-
s(24,24,28)s(24,32,20)s(32,40,12)-s(48,24,20)+*
s(48,16,20)c(24,48,12)s(40,24,20)++s(16,32,12)+
s(16,24,12)c(40,40,12)+c(40,32,20)s(48,48,12)-+
s(24,48,12)s(40,16,20)+t(24,40,12)-s(24,32,12)+
s(32,32,20)t(48,40,12)t(32,32,12)+-c(24,24,12)+
c(24,32,12)t(32,40,20)c(40,16,12)+s(48,24,20)-+
t(32,48,20)c(32,40,20)c(24,40,20)s(40,24,12)+*+
t(48,40,12)t(32,48,28)+s(48,16,20)+s(24,40,28)+
s(40,16,20)c(32,40,20)-c(24,40,20)s(24,24,20)++
t(32,40,20)c(16,24,12)+t(24,40,12)t(40,48,12)++
s(24,32,28)c(32,32,20)s(40,16,20)-*c(16,32,12)-
s(48,16,20)c(48,32,12)t(24,48,20)+-c(40,40,20)+
c(32,32,20)s(40,48,20)+c(40,32,20)+t(32,32,28)-
s(32,48,20)s(48,32,20)-t(32,40,12)t(40,40,12)++
t(32,48,20)t(32,16,12)s(8,8,12)+t(32,40,28)-+
c(40,40,20)t(32,48,12)-s(40,48,20)+c(24,40,20)*
t(32,32,28)s(32,48,12)-s(32,32,28)s(40,48,20)-+
c(48,24,12)s(24,48,12)+s(24,32,28)s(40,48,20)++
s(48,48,12)s(40,24,12)t(24,56,12)++t(40,24,20)+
s(16,24,20)s(24,40,28)s(32,40,28)s(40,40,12)-*-
s(16,48,12)t(32,32,28)s(32,32,12)-+c(40,32,12)+
c(40,32,12)s(24,24,12)+t(16,16,12)+s(40,32,28)+
s(48,16,20)s(32,32,12)+c(32,32,28)c(16,32,12)-+
t(40,40,20)s(40,16,20)+t(32,48,20)t(32,24,12)++
t(24,32,28)s(40,48,20)-s(40,40,20)+c(24,40,12)-
s(16,32,20)c(40,32,20)s(32,40,28)*+t(32,48,20)-
t(32,48,28)c(32,32,28)s(24,40,28)*c(32,40,20)+*
t(24,56,12)c(32,24,12)t(32,32,20)++s(32,24,20)+
s(24,32,12)s(32,48,12)+t(48,24,12)t(40,32,20)++
s(40,16,20)c(16,32,12)s(40,24,28)+t(40,32,12)-*
s(24,48,20)s(16,8,12)+s(16,48,12)-c(32,48,12)+
s(16,8,12)s(48,24,12)t(24,48,28)+c(24,40,12)-+
c(48,16,12)c(24,40,20)c(24,32,12)t(40,56,12)+++
s(16,32,12)c(40,24,20)t(32,48,20)t(40,32,20)+++
s(24,8,12)s(48,24,12)+s(40,8,12)+s(32,32,12)+
s(32,40,20)t(24,24,20)s(24,48,20)++t(32,32,28)*
s(24,24,28)t(32,40,20)s(48,32,20)t(40,16,12)-++
s(24,8,12)t(40,48,20)s(32,40,12)+t(32,48,20)*+
s(32,24,20)c(40,32,12)+t(32,40,28)t(24,40,28)*-
s(40,16,20)s(16,16,20)-c(48,24,12)t(40,32,12)++
s(32,40,12)t(16,48,12)s(24,16,12)++t(32,40,12)-
s(24,24,20)s(40,32,28)+s(48,24,20)*c(24,24,20)-
s(16,16,12)c(32,32,20)s(48,24,20)+s(32,16,12)-+
s(32,16,12)s(16,48,20)+c(32,24,12)s(16,48,12)+-
s(32,32,20)s(32,40,20)t(32,40,20)s(24,24,28)+**
c(24,40,12)s(32,24,20)c(48,16,12)-+t(32,32,28)*
s(32,24,28)c(32,48,12)s(24,24,12)+t(24,16,12)-+
s(16,40,12)t(24,24,20)+t(16,16,12)-s(40,32,20)+
s(32,40,28)s(32,24,28)t(32,48,28)-*s(40,32,28)*
s(48,48,20)t(40,56,12)-t(24,40,28)+c(40,32,20)*
s(32,24,12)c(40,40,20)+t(32,40,20)t(32,24,20)+*
s(24,48,20)s(32,40,28)*s(40,32,28)c(16,40,12)+*
s(24,32,20)s(24,32,20)c(32,32,12)-t(24,48,12)--
s(24,24,28)s(48,16,20)s(48,16,12)--t(24,16,12)-
s(16,40,20)s(40,48,20)s(32,40,28)*-t(24,40,28)*
t(24,32,28)s(32,32,28)s(32,40,28)t(24,40,28)***
s(48,16,12)t(32,40,20)+s(32,32,28)c(40,48,12)-+
t(40,24,20)t(48,48,12)t(24,32,20)+s(24,40,28)*-
t(24,32,28)s(40,40,12)-s(32,32,20)s(48,16,20)-*
s(40,32,28)c(40,24,20)*s(48,48,20)-s(24,40,20)+
t(40,48,20)c(24,32,20)+s(16,24,20)-t(32,48,20)*
c(24,40,12)t(24,48,20)+c(16,48,12)+c(24,32,12)-
t(24,48,28)s(24,40,28)t(40,48,20)+*c(40,40,20)*
s(24,32,28)s(24,16,20)-s(32,24,28)*c(24,24,20)*
s(16,40,20)c(24,32,20)c(16,16,12)-*c(24,24,20)+
s(24,48,20)s(48,24,12)+t(32,32,28)s(48,24,20)+-
c(32,40,20)s(24,40,28)s(40,40,28)*t(24,32,28)+*
c(32,40,20)c(32,32,28)s(40,48,20)-*s(32,24,28)*
c(40,24,20)s(32,16,20)c(32,24,20)*c(16,24,12)-*
s(16,48,12)s(32,24,28)+s(32,40,28)*c(48,40,12)-
s(24,32,28)c(40,32,20)c(40,16,12)+*s(16,24,20)-
t(32,32,28)s(48,32,12)-c(16,16,12)s(32,40,12)+-
s(24,32,28)s(32,40,20)s(32,32,12)--c(32,32,20)*
t(24,40,20)t(24,40,28)c(24,40,20)*c(32,24,12)-*
s(8,40,12)t(32,16,12)+c(16,16,12)+s(24,40,28)*
s(24,24,28)s(32,40,20)t(24,32,20)c(40,24,20)+**
c(40,32,20)s(32,32,28)t(24,48,20)-t(24,32,20)-*
c(32,40,20)c(16,24,12)-c(32,32,20)*t(40,32,20)*
s(24,24,20)s(16,48,20)s(24,40,20)*-t(32,24,20)*
t(32,40,28)c(32,24,20)-s(40,32,20)s(24,40,20)--
s(40,48,20)t(24,40,28)t(24,48,12)-s(24,40,20)*+
c(32,48,12)s(24,24,20)+t(32,40,28)*c(40,40,20)*
s(24,32,28)t(32,32,28)s(32,48,20)*-s(24,40,28)*
c(40,40,20)s(40,32,20)+s(32,32,28)*s(24,32,20)-
c(24,40,20)t(24,48,28)*s(40,32,28)c(32,40,20)**
s(40,40,28)s(40,40,28)s(24,40,12)-s(32,40,28)*-
s(40,16,20)c(48,32,12)-s(32,32,20)-s(24,32,28)-
c(24,40,20)s(24,40,28)c(40,24,20)c(48,40,12)+**
c(40,24,20)s(48,48,20)-c(32,24,20)*t(32,32,20)-
s(32,16,20)c(32,24,20)+s(24,32,20)*c(32,40,20)*
s(32,24,20)c(24,32,20)c(32,32,28)c(24,40,12)-**
s(16,40,20)s(32,32,28)t(40,24,12)-s(24,40,28)**
c(40,32,20)s(32,24,28)c(24,48,12)s(24,8,12)+--
s(40,32,28)s(40,24,20)s(24,24,28)+*c(40,40,20)*
s(24,32,28)s(40,24,28)*s(32,48,12)-t(32,32,28)*
c(32,32,28)s(48,32,12)-s(40,40,28)c(24,24,20)--
s(24,16,20)t(32,48,12)s(40,24,28)+s(24,24,28)**
s(40,24,20)c(32,32,28)t(24,32,28)s(32,32,20)*-*
s(32,40,28)s(8,40,12)s(40,40,28)t(32,32,28)*+*
c(24,24,20)t(32,48,28)t(24,48,28)*-s(32,24,28)*
s(24,48,20)t(24,32,12)-t(40,40,12)-s(32,32,20)-
s(40,24,20)c(24,32,20)s(32,24,20)c(40,24,20)**-
t(16,56,12)c(40,32,20)s(40,40,28)*+t(24,32,28)-
c(40,24,12)c(32,16,12)+c(48,24,12)-s(24,24,20)+
s(16,32,12)s(48,48,20)c(32,32,28)*c(32,24,20)-+
s(40,24,20)s(32,32,28)*t(16,16,12)s(48,48,12)++
s(40,32,20)c(24,32,20)t(32,32,28)+s(40,24,28)**
s(8,16,12)s(40,24,28)+s(48,24,20)s(24,40,28)-*
t(24,48,28)t(32,48,28)s(32,32,20)s(32,48,20)*-*
s(16,40,20)t(24,32,28)c(32,16,12)-s(40,48,20)-*
s(24,32,28)s(40,32,12)-t(24,48,28)c(40,24,20)-*
s(40,16,20)s(40,32,28)s(32,24,28)*t(24,40,28)-*
s(40,32,28)s(40,40,20)c(40,48,12)t(24,48,28)++-
s(40,32,28)s(32,40,12)-s(40,32,28)c(32,24,20)*-
s(16,40,20)s(16,32,12)-s(32,32,12)+c(40,24,20)-
s(24,24,28)t(32,40,28)c(32,32,20)c(48,48,12)-**
t(32,32,28)s(48,16,20)+s(32,32,20)t(32,40,28)*-
s(24,32,28)s(32,24,28)t(32,24,20)-*t(24,32,12)-
t(32,48,28)t(40,48,20)t(24,40,28)s(8,48,12)-+*
s(24,40,28)c(40,24,12)-c(40,32,20)-t(32,48,20)-
t(32,32,20)s(32,32,28)c(24,16,12)-*t(40,48,20)+
s(32,24,28)t(24,40,20)t(32,24,20)+t(24,40,28)*-
s(32,24,28)s(8,32,12)+s(24,32,12)-c(32,40,20)*
t(32,32,28)s(48,40,12)s(32,32,20)s(24,16,20)-+*
t(32,40,28)s(16,32,20)s(24,16,20)-s(24,24,28)*-
s(40,40,28)c(32,32,20)c(32,16,12)c(32,40,20)+**
s(24,16,20)c(32,48,12)+t(32,48,12)t(32,32,28)+*
s(24,24,28)t(48,48,12)s(40,24,28)+t(32,40,28)**
c(32,40,12)t(32,24,20)s(48,32,12)++s(40,24,20)*
t(24,32,20)c(24,48,12)+t(40,32,12)+c(24,24,20)*
s(24,24,20)c(40,24,20)-s(48,24,20)+s(32,40,28)*
s(40,40,28)s(24,24,28)c(32,40,20)s(24,32,28)***
t(32,48,28)c(32,32,20)s(48,24,20)s(40,40,28)*-*
s(40,24,28)t(32,40,20)c(40,24,20)+s(24,40,12)-*
s(24,48,20)c(24,24,20)s(32,16,20)s(16,48,20)+*-
s(32,40,28)s(48,24,20)-s(16,48,12)-s(24,32,28)*
s(24,24,20)s(40,24,28)*s(16,40,20)-s(24,32,12)+
s(32,24,28)c(16,24,12)s(16,40,12)+*c(48,16,12)+
t(32,32,20)s(8,24,12)+s(32,48,20)s(32,32,28)*-
c(40,32,20)s(32,32,28)*s(32,32,28)s(24,32,12)-+
s(8,24,12)s(48,16,20)+s(24,32,20)t(16,32,12)--
s(40,16,20)s(32,32,28)t(24,40,28)*-s(24,16,20)+
s(32,32,20)c(32,32,28)c(16,16,12)-*c(40,40,20)*
c(24,32,20)t(40,40,20)-c(24,40,20)c(24,32,20)**
t(24,32,28)s(24,24,28)s(40,16,20)-s(32,48,12)+*
c(40,40,20)t(48,48,12)-s(24,48,20)*s(24,16,12)+
c(40,24,20)s(40,48,20)s(16,40,20)t(24,40,28)*--
c(40,16,12)t(24,32,28)s(24,40,20)*+t(32,40,28)*
c(40,24,20)s(40,40,20)t(24,48,20)s(32,32,12)+*-
c(40,16,12)t(32,48,28)+s(24,32,28)*c(32,24,20)*
s(32,32,28)s(24,40,20)s(16,16,20)+*t(32,48,28)*
s(24,40,20)s(16,24,20)-c(32,32,12)+c(16,48,12)-
t(24,32,28)s(40,24,28)t(32,48,28)-s(32,48,12)+-
s(32,32,28)c(24,24,20)s(40,24,20)*-s(16,24,20)-
c(24,40,20)s(16,16,20)-t(24,32,28)c(24,40,20)**
t(32,48,20)s(24,24,28)+s(32,40,28)*c(32,16,12)-
t(24,48,28)s(32,40,12)c(40,16,12)+t(32,40,28)*-
s(32,40,28)s(24,40,28)*c(32,40,20)c(16,40,12)+*
s(40,40,28)s(40,24,28)s(16,24,20)s(32,24,20)*-*
c(32,40,20)t(32,40,28)s(32,32,28)*s(40,40,20)*-
s(40,48,20)c(24,48,12)s(32,40,20)+s(40,32,28)**
c(24,40,20)c(24,24,20)s(24,8,12)-*s(40,40,28)*
s(24,40,20)s(24,48,20)*s(48,48,20)t(40,48,20)*-
s(40,16,20)s(40,32,20)t(32,32,28)*c(32,40,20)*-
t(24,48,12)c(32,32,20)t(40,40,20)s(48,16,20)--+
s(32,32,20)s(48,32,20)c(32,32,28)*+s(24,40,20)*
c(40,40,12)t(16,40,12)+s(24,32,28)s(24,40,20)--
c(24,40,20)s(24,48,20)c(32,32,28)s(16,48,12)-*-
s(32,24,28)t(32,32,12)-c(32,40,20)t(40,24,12)-*
t(40,48,20)s(16,24,20)+c(48,40,12)t(32,40,12)+-
c(24,40,20)t(40,48,12)-t(40,48,20)-s(32,24,28)*
s(32,32,20)c(24,32,20)c(32,24,20)c(40,40,20)*--
t(32,48,20)c(32,24,20)s(40,24,12)-+s(24,32,28)-
c(40,32,20)c(40,40,20)t(40,24,20)s(40,40,20)+**
s(24,40,28)t(24,48,28)c(16,32,12)-*t(32,40,20)-
c(40,40,20)s(32,40,28)s(24,48,12)-s(48,40,20)*-
t(24,48,28)c(32,32,28)c(48,24,12)-*s(24,48,12)-
s(16,40,20)t(24,48,28)s(40,48,12)-c(32,40,12)--
s(32,40,28)s(24,32,20)-s(40,16,20)-c(32,32,12)+
s(40,32,28)s(8,32,12)t(24,32,12)+t(32,32,28)+*
s(32,32,28)c(32,40,20)*c(40,32,20)*t(32,32,20)*
c(32,40,20)s(40,32,28)*t(24,32,28)*s(16,32,20)+
s(48,24,12)s(8,32,12)c(40,32,20)+s(16,24,20)*+
s(24,40,28)s(40,32,28)c(40,24,12)-*s(32,48,20)*
t(32,24,20)t(24,40,28)+c(40,40,20)-s(40,32,20)-
t(24,32,28)t(48,56,12)s(40,32,28)+s(24,40,28)*-
s(32,24,28)t(24,40,28)-c(24,40,12)+t(32,24,20)*
c(40,32,20)t(32,48,28)+s(40,16,20)-s(40,40,20)-
s(40,48,20)s(24,32,20)s(24,16,12)--s(40,40,28)*
t(32,40,28)s(40,32,28)*s(24,48,20)s(32,24,20)--
s(16,48,20)c(32,32,20)s(40,40,28)*-t(16,40,12)-
t(32,32,28)s(40,32,20)c(48,32,12)s(48,48,12)+*-
t(24,32,28)s(40,48,20)c(40,40,12)-s(8,24,12)+-
s(24,32,20)c(24,32,20)c(40,40,12)-*s(16,24,12)-
s(40,24,20)t(32,32,20)+c(24,24,12)-s(40,32,20)*
c(32,32,20)s(40,24,28)*t(24,32,12)-s(48,16,12)+
s(40,48,12)t(24,48,28)s(24,48,20)*+c(40,40,20)*
s(40,32,28)c(32,24,20)s(48,48,12)+*t(32,24,20)-
c(24,16,12)s(40,40,20)+t(24,40,28)*t(24,48,12)-
s(32,40,20)t(32,32,20)*c(40,24,12)+t(24,32,12)-
c(24,40,20)t(32,48,28)t(32,24,20)c(40,32,20)*-*
t(24,40,12)s(16,16,20)s(24,32,28)*+t(24,32,28)*
t(40,48,20)c(32,40,12)c(16,24,12)+t(24,32,28)*-
s(24,32,28)t(32,40,28)*t(32,32,28)c(24,24,20)**
s(32,48,20)c(16,40,12)-s(32,32,12)-s(40,32,20)-
s(32,32,28)s(24,32,12)c(16,48,12)+t(16,24,12)-*
s(48,16,20)s(8,8,12)s(48,32,20)+t(32,32,12)+*
s(24,32,28)s(40,24,20)s(40,32,12)-s(32,32,28)*-
s(40,40,28)s(24,40,12)-s(48,40,20)s(32,24,12)+*
s(48,24,20)s(40,32,28)s(32,40,20)*+s(32,48,20)*
s(48,32,20)t(48,24,12)-t(24,40,28)c(40,32,20)*-
s(32,32,12)s(32,24,28)s(32,16,20)-+t(32,32,12)-
s(32,32,20)t(40,40,20)s(24,48,12)c(40,40,12)+*-
t(24,32,28)s(8,16,12)+t(32,32,28)c(40,32,20)**
s(16,32,20)s(48,8,12)+s(40,32,28)s(40,32,12)-*
c(40,24,20)s(24,32,28)*t(24,32,28)s(32,32,28)**
t(32,32,28)s(48,48,20)-c(32,24,20)*c(40,32,12)+
s(48,40,20)c(24,24,20)s(32,32,20)*s(32,40,28)*-
t(24,40,28)s(40,40,20)+c(32,24,20)s(32,32,28)*-
t(24,40,20)s(24,16,20)-c(24,24,20)s(32,16,20)*+
c(16,16,12)c(40,24,20)+c(32,32,28)*s(24,32,28)*
c(32,32,28)s(16,24,20)-s(24,24,28)-c(24,40,20)*
s(24,16,20)c(24,40,20)+t(32,32,28)*c(16,24,12)-
s(24,24,20)c(32,32,20)t(24,24,20)--t(40,24,12)+
c(40,24,20)s(32,32,28)*s(24,24,12)-s(40,8,12)-
s(40,32,20)c(40,48,12)+t(32,32,20)-s(48,40,20)*
s(32,40,12)s(16,16,20)s(16,24,20)*t(24,40,20)-+
s(40,32,28)s(16,16,20)+c(40,16,12)-s(32,16,20)*
s(24,24,28)s(48,40,20)-s(24,40,20)s(32,40,20)*-
s(32,40,20)t(24,40,12)t(40,32,20)+c(24,32,20)**
c(40,32,12)s(32,8,12)s(32,48,12)++s(40,16,20)*
s(24,32,28)t(24,48,28)t(16,48,12)-c(32,40,12)+*
t(24,24,12)s(40,8,12)+t(32,40,12)t(32,32,20)+-
c(24,40,20)s(40,48,12)-s(16,40,20)s(40,32,28)-*
c(32,40,20)s(32,24,20)c(40,32,20)*-t(40,40,20)-
t(40,40,20)s(32,40,28)c(32,24,20)c(32,16,12)-*+
s(48,32,20)c(40,24,20)t(40,48,20)-*s(40,40,28)*
s(40,48,20)c(24,40,20)*s(40,32,12)+t(48,32,12)+
s(32,24,20)s(32,32,20)c(16,32,12)-s(32,48,12)-*
t(24,32,28)c(32,24,20)*s(32,16,20)s(40,48,20)+*
t(24,32,20)s(40,16,20)c(32,32,20)s(48,24,20)*+-
s(24,32,20)t(24,32,28)*s(24,24,28)s(32,40,20)**
s(24,24,12)t(48,56,12)t(40,24,20)++s(40,16,20)*
t(24,24,20)s(16,16,20)+c(32,24,20)t(32,32,12)-*
s(24,40,28)t(32,40,20)-s(24,40,28)c(24,32,20)**
s(24,40,20)s(48,48,20)s(40,48,12)-+c(24,32,20)-
c(32,40,20)t(32,40,28)s(24,32,20)s(16,32,20)*+*
s(32,32,20)t(32,24,20)s(16,24,20)+c(32,24,20)**
s(24,40,20)t(24,48,20)s(32,48,20)*c(16,48,12)+*
s(24,24,20)s(32,24,28)c(32,40,20)*t(32,40,28)*-
s(16,24,20)s(32,24,28)s(48,48,20)-t(40,32,20)-*
s(32,40,20)t(40,40,12)-c(32,24,20)+s(32,40,28)*
s(40,32,20)c(16,16,12)t(32,32,20)s(24,16,12)-+*
c(24,24,12)s(32,32,28)c(40,40,20)*t(24,40,12)-+
c(32,32,20)c(40,40,20)s(48,24,12)-*t(32,48,28)*
c(24,40,20)s(32,48,20)+t(24,40,20)-s(40,32,28)-
s(32,48,20)s(16,48,20)s(24,24,20)c(24,40,20)-+-
s(32,40,20)t(24,32,20)c(40,32,20)+c(24,24,20)**
s(32,24,28)c(32,32,28)s(48,24,20)-*s(48,48,20)-
s(16,32,20)c(32,32,28)*s(24,32,20)*s(16,40,20)*
t(24,48,20)c(24,24,20)s(24,16,20)s(16,40,12)+*+
s(8,16,12)c(32,24,20)s(32,40,28)s(32,48,12)-*+
s(40,40,20)c(40,40,20)c(40,32,20)**s(24,40,28)*
s(32,40,28)s(32,8,12)+c(24,32,20)t(24,32,12)-*
s(40,32,28)c(40,40,20)*s(32,32,28)s(40,24,20)**
c(32,40,20)t(48,40,12)-c(16,32,12)-s(40,40,20)*
t(32,40,28)t(40,48,12)-t(24,40,28)s(40,40,12)-*
t(32,56,12)s(40,40,28)s(32,32,28)*+s(40,32,20)-
s(24,24,28)s(32,24,20)s(24,40,28)c(40,32,20)**-
c(32,24,12)s(16,8,12)+s(32,24,28)*t(32,40,20)-
s(32,32,20)t(32,48,28)+s(32,48,12)-c(32,40,20)-
c(40,32,20)c(48,48,12)-s(48,40,20)s(40,32,28)**
c(32,40,20)s(32,48,20)*t(16,16,12)+t(40,24,20)+
t(32,40,28)s(24,24,12)c(24,48,12)++t(24,40,20)-
s(48,32,20)c(32,32,20)c(40,24,20)c(24,32,12)-**
s(32,40,12)s(32,40,12)s(32,16,20)+t(32,24,20)*+
s(40,40,28)s(24,48,20)s(32,48,20)*t(24,32,12)--
s(40,24,20)s(48,32,20)s(40,40,28)s(40,24,20)--*
c(32,40,20)c(32,32,20)*s(16,24,20)-c(24,32,20)*
s(32,40,28)c(32,24,20)s(40,32,28)*s(24,32,28)**
s(40,32,20)s(16,24,20)c(40,16,12)+c(24,24,20)*-
c(40,24,20)s(40,16,12)c(16,16,12)+s(48,24,12)--
c(32,16,12)c(40,40,12)+t(32,24,12)s(48,32,12)+-
s(40,40,28)t(24,48,12)c(24,24,20)+*c(40,32,20)*
t(32,32,20)s(48,24,20)s(48,40,12)-+s(24,24,12)+
s(32,32,28)c(40,24,12)c(48,48,12)+s(24,16,20)-*
t(24,48,28)t(40,24,12)+s(24,40,28)t(32,32,28)**
t(24,32,28)s(24,40,20)s(24,32,28)s(32,24,12)-*-
t(40,48,12)c(48,32,12)+s(40,40,20)*s(32,40,12)-
c(32,32,28)s(48,48,12)-t(32,40,28)t(32,32,20)--
c(40,32,20)s(16,40,20)-s(8,40,12)+s(40,40,28)*
s(40,40,28)s(32,40,20)s(40,32,28)*-t(32,48,12)+
t(24,40,28)t(24,16,12)+s(32,32,28)+t(24,48,28)-
c(32,24,20)c(48,32,12)-s(40,48,20)-c(16,32,12)+
c(24,40,20)s(32,40,28)*s(24,24,28)*s(40,40,28)*
s(16,40,20)s(40,32,28)c(32,40,20)*s(40,48,20)*-
s(24,32,28)c(40,24,20)*s(24,32,20)*c(32,40,12)+
s(32,40,28)c(40,32,20)t(16,48,12)+*s(8,24,12)+
s(24,32,20)s(8,32,12)-s(16,32,20)*s(32,24,28)*
s(40,32,12)s(24,24,28)s(24,32,20)c(24,40,12)--+
s(48,24,20)t(24,24,12)+c(32,24,20)s(40,24,28)**
s(24,24,28)t(24,32,28)*s(48,24,12)+t(24,40,12)-
s(24,16,20)t(32,40,28)s(24,32,28)*-s(24,24,20)*
c(32,32,28)s(24,40,28)*t(24,40,12)-c(16,32,12)-
s(32,40,28)t(24,40,28)c(40,24,20)s(32,16,20)*-*
t(32,40,28)s(40,40,12)t(24,48,28)+*t(32,48,20)*
s(40,40,28)c(24,40,20)*s(48,8,12)s(40,32,28)+*
s(24,24,28)s(8,16,12)-s(48,8,12)+c(40,32,12)-
s(24,40,28)s(40,32,20)c(40,32,20)s(24,24,28)***
c(32,24,20)s(40,24,20)t(24,40,12)+*s(32,24,12)-
c(40,24,20)s(24,32,20)*c(32,40,12)+s(40,24,28)*
s(24,24,28)s(40,40,28)*s(32,40,28)s(32,24,20)**
s(24,16,20)s(40,24,20)s(40,16,20)*s(48,16,20)*-
s(48,40,20)c(40,40,20)s(32,32,20)s(48,32,12)-*-
s(24,40,28)c(40,24,20)s(32,32,20)-t(24,24,20)+*
s(40,24,28)c(32,40,20)*s(16,40,20)s(16,32,20)*-
s(32,32,20)t(24,32,28)s(16,24,20)--c(24,24,20)*
c(24,24,20)s(40,32,12)-s(32,24,20)t(32,40,28)*-
c(32,32,20)t(32,32,28)*s(40,40,28)*s(24,40,28)*
s(24,24,20)c(32,24,20)c(32,32,20)c(48,48,12)-**
t(40,48,12)t(24,32,28)+s(32,16,12)-s(32,48,20)*
c(40,40,20)s(32,32,28)s(16,32,20)*t(48,24,12)++
s(48,16,12)s(32,40,28)+c(24,32,20)*t(24,32,28)*
s(24,40,20)t(24,40,28)t(24,32,28)*s(16,32,20)*+
s(24,16,20)c(24,32,12)c(24,40,12)+s(16,40,20)*-
t(32,40,28)s(40,32,12)-s(32,32,20)c(24,40,20)*-
t(24,40,28)s(24,24,20)-c(16,48,12)c(32,32,20)+*
s(24,16,20)s(40,32,28)t(32,40,28)*-t(24,32,20)+
s(32,40,20)t(24,40,28)*t(48,32,12)+c(24,32,20)*
s(24,32,28)c(32,32,20)*s(48,48,20)-s(40,32,12)+
s(32,32,28)t(40,32,12)t(24,56,12)+-s(40,40,20)-
c(24,48,12)c(48,40,12)+s(32,32,28)+s(48,24,20)-
s(32,32,20)s(40,32,28)s(24,24,28)*s(24,32,20)+*
s(32,32,28)c(32,32,12)-c(40,32,20)*s(16,16,20)+
t(24,48,20)s(24,40,20)*s(32,16,12)t(48,40,12)++
c(32,24,12)t(24,40,28)s(16,48,12)-+s(40,32,20)*
s(40,32,20)s(32,24,20)t(32,32,12)-s(24,40,20)--
c(40,48,12)t(24,40,20)+s(32,40,20)t(40,40,12)--
c(32,40,12)s(24,16,20)s(32,24,28)*+s(40,40,20)-
s(24,32,28)c(24,24,20)*s(48,24,20)+s(32,16,20)*
t(32,40,28)c(24,24,20)*c(32,24,20)s(40,16,20)*+
t(32,32,28)s(40,32,20)*t(32,32,28)c(40,24,20)**
c(32,24,20)c(40,40,12)t(32,48,12)+-t(16,24,12)-
c(24,32,20)s(16,40,20)s(24,8,12)c(32,32,20)+*-
t(32,32,28)c(32,32,20)s(24,16,12)s(16,32,20)+*-
c(24,32,20)t(24,32,28)*t(32,32,28)t(32,48,20)-*
t(48,32,12)t(24,24,12)+t(32,40,12)+c(40,32,20)*
t(40,32,20)t(40,48,12)+t(24,32,20)+s(16,48,20)-
c(24,40,20)t(32,40,20)-t(32,48,20)s(40,24,28)--
s(32,40,28)t(16,48,12)-s(40,48,20)s(48,40,20)**
s(40,40,28)s(32,32,28)c(48,32,12)-*c(40,16,12)-
s(40,16,20)s(24,40,20)s(16,48,20)*c(40,24,20)+*
c(40,24,20)s(24,40,28)*c(24,24,20)s(40,40,28)**
s(32,40,28)s(48,40,12)-s(24,48,20)*s(40,40,20)+
s(32,24,28)c(32,40,20)s(32,32,28)*c(24,40,20)**
c(32,32,28)s(32,16,20)-s(24,48,12)s(32,40,12)+-
t(24,32,28)s(48,48,12)+s(32,32,20)*c(40,24,20)*
s(8,16,12)t(16,48,12)c(24,24,20)+s(24,48,20)*+
c(24,40,20)c(32,24,12)c(16,48,12)+c(32,40,20)**
s(32,40,20)s(32,48,20)t(24,32,12)+s(40,48,20)**
c(24,24,20)s(16,24,12)-s(40,32,28)s(32,32,28)**
s(48,24,20)s(40,24,28)t(24,32,28)*c(16,32,12)--
t(32,40,20)c(16,16,12)+t(32,48,20)t(24,48,28)*-
c(32,32,20)s(24,40,28)*c(40,40,20)*s(40,24,28)*
s(32,40,28)s(32,32,28)s(24,40,20)*-c(40,32,20)*
t(16,24,12)c(40,40,20)+s(24,24,28)*c(24,24,20)*
s(16,48,20)t(32,32,28)-t(24,48,28)s(40,40,28)*+
s(40,32,28)c(40,24,20)t(48,24,12)-*s(24,32,20)*
t(32,48,28)t(24,32,28)-s(32,32,20)+s(40,40,28)*
s(32,24,28)c(40,40,12)t(32,32,20)s(48,16,20)-+*
s(48,16,20)t(24,40,28)+c(48,16,12)-c(24,40,20)-
t(24,24,20)s(32,48,20)s(16,16,20)+*s(8,48,12)+
t(24,40,28)c(40,40,20)*s(40,32,28)t(32,40,28)**
s(32,40,20)s(48,48,20)t(32,24,20)t(40,40,12)+--
s(8,8,12)s(40,24,20)s(32,48,20)s(32,32,20)*-+
s(32,32,28)s(24,48,20)s(40,24,28)+*t(40,24,20)*
s(24,40,28)s(40,24,12)-s(24,40,20)-c(32,32,20)-
s(24,40,28)s(8,32,12)-t(32,24,12)-s(24,32,28)*
s(24,40,28)s(40,48,20)s(8,40,12)+s(32,40,28)**
s(24,48,20)s(48,24,20)s(40,32,28)*+c(32,24,20)*
c(48,32,12)s(24,40,20)s(24,24,20)*+s(32,24,20)*
s(24,40,28)c(40,40,20)s(24,16,20)t(32,32,20)-+*
s(24,32,20)s(40,24,20)s(48,24,12)-s(32,48,12)+*
c(24,40,20)s(32,32,28)t(48,40,12)-s(40,24,12)-*
c(24,40,20)t(32,40,28)t(32,32,28)t(24,40,28)*--
s(24,24,20)s(32,24,28)s(32,32,28)**s(24,32,20)*
s(48,40,20)c(32,32,20)-c(32,32,20)s(40,40,20)*+
t(48,16,12)c(24,40,20)c(32,24,20)c(16,24,12)+*+
s(32,40,28)c(32,32,20)*t(32,40,28)t(32,48,12)--
s(24,40,20)c(40,40,20)*s(8,24,12)+t(32,24,12)-
c(32,24,20)t(24,32,20)*s(40,40,12)+c(24,24,20)*
t(40,48,20)s(32,40,12)+s(40,40,28)s(32,24,28)-*
s(32,48,20)t(24,32,12)-c(40,40,20)*c(24,24,20)+
c(24,40,20)s(32,32,20)t(40,32,20)+*t(32,40,20)*
s(48,48,12)t(40,48,20)t(16,48,12)++c(16,40,12)-
c(16,40,12)s(40,48,20)s(40,32,20)++s(40,24,20)*
s(32,24,20)c(32,32,20)s(40,24,28)*s(24,24,20)-+
s(24,24,28)c(24,24,20)s(24,32,12)-t(24,32,28)+*
s(48,32,20)c(40,40,12)-s(24,32,28)c(40,24,20)*+
s(8,8,12)s(48,16,12)s(8,40,12)+c(32,40,20)-+
s(32,24,20)c(24,32,20)*s(48,48,20)-s(40,32,20)+
s(40,40,20)t(32,48,28)c(48,40,12)-c(16,32,12)+*
s(32,24,28)s(24,40,28)s(32,32,28)**t(32,32,28)*
s(40,48,20)s(40,40,28)c(24,32,12)-c(40,24,20)*-
s(48,16,20)s(32,40,28)-c(40,24,20)s(16,32,20)-*
c(40,32,20)c(24,40,20)s(16,32,20)*-s(40,24,20)*
s(24,40,28)s(16,40,12)-c(40,24,20)s(32,24,28)**
c(24,40,20)s(24,32,20)s(8,24,12)-*t(32,32,20)+
s(32,24,28)s(24,48,20)+c(24,40,20)*t(24,32,20)*
c(40,24,20)t(24,40,20)c(32,32,20)*-s(32,40,20)-
s(40,24,28)c(24,32,20)c(32,16,12)-*c(48,24,12)+
c(24,24,20)t(40,32,20)-c(48,24,12)s(16,32,20)+*
t(32,48,20)t(40,40,20)c(40,40,20)s(24,40,12)-*-
c(24,24,20)t(32,32,28)s(48,24,20)s(40,40,12)+*-
t(24,40,20)t(32,32,28)+c(48,40,12)-s(24,32,20)*
s(24,32,20)t(24,32,28)s(24,24,28)*s(8,48,12)+*
s(32,32,12)s(16,24,20)+c(24,24,20)t(32,40,28)-+
s(24,32,20)c(16,24,12)-t(24,40,28)s(24,8,12)+*
s(24,32,20)c(24,40,20)*s(24,24,28)t(32,32,20)--
t(24,48,28)t(40,48,12)-t(32,40,12)-t(48,56,12)+
c(32,32,28)s(16,24,20)s(48,32,12)+*s(32,32,28)*
t(24,40,20)c(32,32,28)c(40,32,12)-c(32,40,20)**
c(16,32,12)s(24,40,12)t(40,32,20)s(32,48,12)-++
t(24,32,20)s(40,40,28)s(32,40,12)t(16,56,12)+-+
s(32,32,28)t(24,48,28)s(24,24,20)+s(16,32,20)**
t(32,32,28)c(32,40,20)c(40,32,20)c(32,40,12)--*
t(32,48,28)s(24,40,28)*c(40,40,20)*s(32,32,28)*
s(32,24,20)s(24,24,28)c(24,16,12)-s(32,24,28)*-
t(24,16,12)c(40,24,12)+s(40,40,12)-s(24,24,28)*
s(40,32,28)s(40,40,28)c(24,40,20)s(32,40,28)*-*
s(32,16,20)c(24,40,20)c(40,48,12)-t(24,48,20)--
s(40,40,28)s(40,40,12)s(24,16,20)+s(40,24,28)**
s(24,40,28)s(32,40,28)c(32,48,12)-s(32,40,20)**
s(24,40,20)t(24,40,12)-t(24,40,28)t(40,48,20)-*
s(24,24,28)s(24,48,20)t(32,32,28)s(24,40,12)-+*
c(32,32,20)s(40,40,28)s(40,48,20)-c(40,24,20)*-
s(40,40,28)c(32,32,28)c(32,40,12)-*s(16,40,20)-
t(32,32,28)s(16,24,20)-s(40,32,20)*c(40,16,12)+
t(24,40,28)t(32,40,28)*s(32,32,28)t(24,24,12)-*
c(24,24,20)t(48,16,12)+s(32,32,28)*s(16,32,12)-
s(24,40,28)c(32,32,20)*s(40,32,20)t(32,32,28)**
s(16,40,20)c(24,32,20)s(24,8,12)+*c(32,40,20)*
t(24,32,28)t(16,16,12)c(40,24,12)+t(24,24,12)--
s(24,32,28)t(32,48,28)t(24,48,12)c(48,32,12)+--
s(32,32,28)c(32,40,12)-s(24,24,28)s(40,24,28)*-
t(32,40,28)s(16,32,20)c(24,24,20)*-s(8,24,12)+
c(32,24,20)s(32,16,20)s(16,48,12)+t(16,40,12)-*
s(48,24,20)s(40,32,20)s(40,16,12)+*c(32,24,20)*
t(24,40,20)s(24,40,20)t(16,24,12)-*s(24,48,12)+
c(32,32,28)s(40,40,20)t(32,40,28)*c(16,24,12)+-
s(24,24,20)c(32,32,28)s(32,40,12)-t(24,32,28)**
s(40,48,20)t(32,40,28)*c(40,32,20)s(40,40,28)**
s(24,24,28)s(24,32,12)s(8,8,12)+-s(32,32,28)*
s(40,32,20)c(40,40,20)s(24,48,12)-*s(24,40,20)-
s(32,24,20)c(32,24,20)c(32,32,20)*s(24,48,20)-*
t(32,48,20)c(24,16,12)+s(40,24,28)s(24,40,28)--
t(32,32,28)s(24,40,28)s(32,24,28)**s(24,32,20)*
c(40,24,20)t(32,32,20)c(40,16,12)+*c(32,40,20)*
t(32,32,28)t(40,40,12)-c(24,32,20)s(32,24,20)*+
s(24,40,28)t(16,40,12)-s(32,32,20)s(24,32,20)*-
s(40,40,28)t(40,32,12)c(32,40,12)c(32,48,12)++-
t(40,40,20)s(16,24,20)c(24,24,20)*+c(24,32,20)*
c(40,32,12)t(24,40,28)t(40,40,20)t(32,32,12)--+
s(48,48,20)s(16,24,20)s(16,32,20)s(32,32,20)*-+
s(48,48,20)s(40,40,28)s(48,48,20)-s(24,32,20)*+
s(32,24,28)s(16,16,12)-c(40,24,20)*s(40,32,20)*
s(24,40,20)s(16,40,20)s(24,40,20)*c(32,40,20)*-
s(40,40,28)c(40,40,12)s(48,16,20)t(32,24,12)++*
t(32,48,28)s(24,40,28)s(32,24,20)*-s(24,32,20)-
c(32,32,20)s(48,40,20)s(16,8,12)t(24,40,28)+--
c(24,48,12)s(8,32,12)+c(32,40,20)+t(40,32,12)-
t(32,32,12)s(40,48,20)+t(40,48,20)t(24,40,12)+*
s(40,32,20)c(32,40,20)s(24,48,20)*s(32,24,28)+*
s(40,32,28)s(40,16,20)t(32,40,20)c(16,24,12)+-*
s(32,24,28)s(40,48,20)c(24,40,20)*-t(32,48,28)-
c(32,32,20)s(32,32,20)c(40,40,20)+*c(24,32,20)*
s(16,48,20)c(24,40,20)c(24,40,12)-s(32,16,20)+-
c(40,24,20)s(16,24,12)t(32,32,28)s(32,24,28)*+*
s(24,32,20)s(40,32,28)*s(16,48,20)+c(40,24,12)+
c(24,24,20)s(8,16,12)c(32,16,12)t(40,32,12)++-
s(24,32,28)s(16,24,20)c(32,24,12)--s(40,40,12)-
s(40,24,20)s(24,24,28)s(40,40,28)s(24,32,28)**-
c(24,24,20)t(40,56,12)+s(32,32,20)*s(32,48,20)-
t(32,24,20)c(40,32,12)+t(32,40,28)*t(24,24,20)+
c(32,32,28)s(24,40,12)-c(32,48,12)-s(32,40,28)*
s(32,32,20)s(32,40,20)c(40,24,20)*-s(24,24,20)+
c(32,40,12)t(32,40,28)s(32,32,20)*s(16,24,20)-+
t(32,48,12)c(32,32,20)c(48,16,12)t(24,40,20)+*+
c(40,32,20)c(48,32,12)-c(32,24,20)c(40,24,20)**
s(48,40,20)t(32,40,28)*c(24,24,20)s(40,24,28)*+
c(40,32,20)t(32,40,28)c(40,40,20)*t(40,40,20)*-
s(16,40,20)s(32,40,28)c(32,32,20)s(32,24,28)**-
c(48,16,12)s(40,48,12)+s(8,32,12)s(32,40,12)+-
s(40,24,20)t(48,32,12)c(32,24,12)+t(48,40,12)-*
s(24,40,20)t(32,32,12)-s(48,48,20)+s(16,48,20)*
t(16,56,12)t(32,40,12)+t(24,32,12)+s(32,48,12)-
c(48,48,12)t(24,40,28)s(40,24,20)s(48,40,12)--+
s(48,48,20)t(32,48,20)+c(40,32,20)t(32,40,28)**
s(24,16,20)t(32,48,12)+t(40,40,20)-s(24,8,12)-
s(40,24,20)c(32,32,20)+s(24,40,28)t(24,32,28)**
c(24,32,20)s(24,24,28)t(24,32,28)*s(40,40,28)*-
s(40,32,28)s(40,32,12)-s(24,8,12)t(32,32,28)+*
s(32,40,28)c(32,32,20)s(32,48,12)-s(40,24,20)**
s(24,40,28)s(40,24,28)*t(24,40,28)+t(24,48,28)*
s(32,32,28)t(40,40,20)c(48,32,12)+*s(32,24,28)*
t(24,48,28)c(24,40,12)t(24,24,20)s(32,32,28)*+*
s(32,24,20)c(32,48,12)+t(32,40,28)s(32,24,28)**
s(32,24,28)c(32,40,20)c(40,40,20)c(40,32,12)-*-
s(32,24,28)s(32,40,28)*c(40,32,20)*t(40,32,20)*
c(32,32,20)t(24,40,28)*s(40,32,28)s(32,32,28)**
c(24,24,20)s(24,40,28)-s(24,24,20)+s(32,16,12)-
t(40,24,20)c(40,40,20)s(24,32,28)*t(24,40,28)*-
t(32,40,20)s(48,32,20)+t(48,32,12)-s(40,24,28)*
s(32,24,20)c(24,24,20)t(24,32,28)s(32,24,12)-+*
t(24,40,20)t(16,32,12)+s(32,40,28)*s(32,40,20)*
t(16,56,12)s(24,24,28)c(16,32,12)-+s(24,32,20)*
s(32,40,28)c(40,40,20)*s(48,16,20)-t(40,48,20)*
t(32,24,20)s(40,40,20)t(32,24,12)s(24,24,12)+--
c(40,32,20)s(40,24,28)*c(32,32,28)s(16,16,20)-*
s(16,32,20)t(24,40,28)c(32,32,28)s(32,16,12)-**
c(24,40,20)s(24,32,28)t(32,32,28)*s(24,40,28)*-
s(24,24,28)c(24,40,12)-s(24,24,28)c(32,40,20)*-
s(48,48,20)t(32,32,28)t(32,40,28)*s(16,48,20)--
c(32,40,20)t(24,40,28)s(32,8,12)+*s(48,40,20)-
s(32,32,28)c(24,40,20)s(16,40,12)-t(32,32,12)-*
s(48,32,20)s(48,16,12)t(32,32,28)+*s(24,24,28)+
c(40,40,20)c(24,32,20)s(24,40,20)*t(24,40,20)*+
s(40,16,20)t(48,24,12)s(32,24,28)s(16,32,20)*+-
s(40,40,28)t(48,24,12)-c(32,24,20)-t(40,32,20)-
s(24,40,28)s(40,48,12)-t(16,32,12)-s(24,32,28)*
t(32,32,28)s(24,32,28)*s(16,24,20)-s(32,24,28)*
s(16,32,20)s(16,16,12)+c(32,24,20)*c(48,40,12)+
t(32,32,28)t(24,40,28)*s(24,40,28)t(16,24,12)-*
s(32,24,28)s(48,32,20)+c(40,24,12)-c(40,32,20)*
c(32,32,20)c(16,48,12)-s(32,32,20)*s(40,48,20)+
c(24,32,20)c(48,24,12)s(16,40,20)+c(32,32,20)*-
s(40,40,20)s(24,32,28)s(40,32,28)**s(24,32,12)+
c(40,32,20)t(40,48,20)s(24,16,20)s(24,24,12)-+*
t(24,40,20)c(24,32,20)s(24,48,20)**t(16,56,12)+
c(24,32,20)c(24,40,20)*s(40,32,28)s(24,32,20)**
s(48,40,12)c(32,24,20)+s(40,40,12)-t(24,48,28)+
c(40,32,20)s(24,40,20)t(16,48,12)s(24,32,20)+*+
s(40,40,28)c(32,32,20)s(24,40,28)*s(24,48,20)--
c(24,32,20)s(32,16,20)t(24,32,20)+t(24,24,20)**
s(32,32,28)s(40,32,20)s(32,16,20)-s(16,48,20)--
s(24,16,20)s(24,24,28)s(32,40,20)-*c(40,16,12)-
s(16,48,12)s(24,24,28)c(32,16,12)-+s(40,24,28)*
t(32,40,28)s(24,48,20)c(32,32,20)*-s(32,32,28)*
s(32,16,20)t(16,16,12)-s(32,24,28)s(40,32,12)-+
s(40,40,28)c(32,40,20)*s(40,32,28)*s(40,32,20)*
s(24,40,20)s(24,48,20)*s(40,40,28)s(48,48,20)*-
s(32,32,20)c(24,40,20)*s(24,32,28)s(16,24,12)-*
c(40,40,20)s(32,16,20)s(40,32,20)s(40,8,12)+*-
s(32,32,20)s(24,24,28)t(40,40,20)-s(24,32,20)**
s(40,24,28)c(32,24,12)c(40,32,20)s(48,40,20)*+*
s(40,24,28)t(24,32,28)s(32,48,20)+-c(24,32,20)+
s(24,48,20)s(32,32,12)-c(24,40,20)s(32,40,20)*-
c(40,24,20)c(32,32,12)s(48,32,20)+*s(48,32,20)*
c(32,40,20)s(32,8,12)s(40,48,12)+s(40,16,20)+*
t(40,32,20)s(24,24,28)+c(32,40,20)s(32,24,12)-*
s(40,40,28)s(32,24,12)-s(32,32,20)s(8,40,12)+*
s(32,16,20)s(24,24,20)s(32,32,28)*t(32,48,20)+-
t(48,24,12)s(16,16,20)t(32,48,20)+s(24,40,28)*+
t(40,48,20)s(24,24,20)c(24,16,12)-+t(32,40,20)-
t(48,16,12)s(16,32,20)+c(40,40,20)s(40,24,28)*+
c(40,32,20)s(40,40,28)*c(32,32,20)t(40,24,12)--
t(24,40,28)s(32,32,20)*c(48,40,12)+s(40,24,28)*
s(32,32,28)t(48,24,12)-s(16,24,20)-s(16,40,20)-
s(32,48,12)t(24,40,20)+c(24,32,20)c(32,32,20)**
s(48,32,20)t(32,40,12)-c(40,40,20)+s(32,32,20)*
s(32,16,20)c(32,32,20)t(32,24,20)-+t(24,48,28)*
s(24,32,28)c(32,32,20)*s(48,32,20)-s(16,40,12)-
s(32,24,20)s(48,48,20)t(40,56,12)-s(16,32,12)+-
s(48,24,20)s(32,32,12)-c(24,24,20)-c(16,40,12)+
s(48,40,12)s(48,32,20)c(40,40,20)s(24,32,28)*-+
s(16,16,20)c(40,40,12)+s(24,24,20)t(32,40,20)+*
t(32,48,20)s(24,40,28)s(40,24,28)c(32,16,12)-*-
s(24,32,20)s(32,40,20)s(32,32,20)c(40,24,20)**-
s(32,40,28)t(24,32,28)t(32,32,20)--t(40,32,20)*
t(32,32,20)c(24,40,20)s(32,40,28)*s(24,32,28)**
c(48,24,12)s(16,32,20)+s(16,40,20)*s(24,16,20)-
s(32,32,28)c(24,24,12)-t(32,40,20)s(48,16,20)+*
s(24,24,28)c(24,40,20)c(24,32,12)t(40,48,20)+**
c(24,32,20)c(48,32,12)t(40,24,20)s(48,24,20)*+-
s(24,16,20)s(32,40,28)t(24,32,12)-c(32,32,20)*-
c(24,24,20)s(24,40,20)t(32,48,28)c(24,32,20)*--
s(32,24,28)c(40,32,12)t(24,48,20)t(32,32,20)-+-
t(32,40,12)c(24,24,12)+c(24,48,12)+t(32,48,20)*
s(24,32,20)t(24,40,28)c(24,40,20)*s(24,40,20)**
s(32,32,28)s(16,24,12)-c(40,24,20)c(32,24,20)**
t(32,40,28)s(24,32,20)s(16,16,20)s(40,24,28)--*
s(40,48,20)s(40,40,28)c(48,32,12)-*s(32,32,28)+
t(16,16,12)c(32,40,20)s(48,40,20)*+t(24,40,20)-
c(48,40,12)s(40,16,12)+t(48,24,12)+t(40,48,20)-
s(32,48,12)s(40,24,28)c(24,16,12)-+s(40,16,20)*
s(32,24,28)c(40,24,20)s(40,48,12)+*t(40,40,20)-
s(32,32,28)s(32,40,28)*c(32,32,20)*s(40,24,28)*
s(24,24,28)t(24,40,28)*s(16,32,20)s(8,16,12)-*
c(32,32,28)s(32,32,28)s(24,40,28)*-s(24,32,28)*
s(24,32,28)s(24,16,12)-t(32,48,12)s(24,24,20)+*
c(32,40,12)s(24,48,20)c(32,32,20)*+s(24,48,20)*
c(32,32,20)t(32,32,12)-s(24,24,28)s(24,32,28)**
s(24,32,20)s(24,24,28)s(32,32,20)t(32,40,28)***
t(32,40,20)t(24,32,28)c(40,40,20)t(32,32,28)***
t(32,48,28)t(32,32,28)t(32,48,20)-c(40,40,20)+*
s(24,40,20)t(32,48,28)+c(32,40,20)*s(24,16,20)-
s(40,40,28)s(24,40,28)*c(32,24,20)c(40,32,20)**
s(16,48,20)s(40,32,28)+t(32,48,28)*s(24,8,12)+
s(32,40,28)c(24,32,20)t(40,32,12)-*s(8,32,12)+
t(48,48,12)t(32,32,28)s(40,32,20)*+c(24,32,20)*
s(24,40,20)s(32,40,28)t(32,48,12)-c(48,32,12)-*
s(40,24,28)s(48,24,12)-s(32,32,28)s(40,32,28)**
c(40,40,20)s(8,40,12)+s(48,40,20)*c(32,40,20)*
s(16,32,20)s(8,40,12)-c(24,40,20)s(40,40,12)-*
s(24,24,20)c(24,32,20)*c(40,24,20)t(32,24,12)--
c(40,32,20)t(24,32,12)-t(32,24,12)-s(40,24,20)*
t(32,32,28)s(16,40,20)s(32,32,20)-+s(24,24,20)*
c(24,40,20)c(32,48,12)-s(32,24,28)c(32,16,12)-*
s(40,48,20)t(48,40,12)-t(24,32,20)s(8,40,12)--
s(24,32,28)c(24,40,20)*c(48,16,12)+s(48,16,20)*
c(32,32,28)s(24,24,28)*s(32,16,20)s(24,32,12)-*
c(40,48,12)t(32,24,20)+c(32,24,20)s(32,32,20)**
t(32,40,28)c(32,40,20)s(32,40,20)c(24,24,20)*-*
s(32,32,28)c(40,24,20)s(48,24,20)+s(48,40,20)-*
c(24,32,20)c(40,24,20)s(40,40,20)*t(16,16,12)+*
t(24,56,12)s(40,24,20)+s(32,24,20)*t(40,24,20)*
s(40,24,28)s(16,24,20)s(32,32,20)+t(24,32,28)*+
c(24,24,20)s(32,16,20)s(32,32,28)**t(16,16,12)-
s(24,32,20)t(32,32,28)s(32,40,20)c(40,32,12)+**
c(24,32,20)s(8,40,12)-s(24,32,20)*s(24,32,12)-
s(40,16,20)s(32,24,20)s(40,32,28)c(32,40,12)-*-
c(32,40,20)t(40,24,20)t(32,48,28)+*c(48,24,12)-
s(24,40,28)s(16,32,20)*c(32,32,28)s(24,24,12)-*
s(32,40,12)t(24,48,12)+s(8,48,12)+t(24,40,28)*
s(24,40,28)s(8,40,12)-s(24,40,20)-s(32,48,12)-
s(48,16,12)t(32,40,28)+s(24,40,28)s(24,24,28)--
s(24,24,20)s(24,48,20)s(40,40,20)s(48,48,20)*--
s(40,24,28)s(16,32,20)s(24,24,12)-c(40,40,20)+-
s(24,16,20)s(24,24,28)c(32,40,20)t(24,40,28)--*
c(48,48,12)c(16,16,12)+s(8,16,12)+s(24,48,20)+
s(40,40,28)s(40,48,20)s(16,48,20)-c(48,32,12)-*
s(24,32,28)s(32,32,28)s(32,40,28)**t(32,32,20)*
c(32,24,20)s(32,16,12)-s(32,40,20)s(32,32,20)**
t(32,40,28)s(32,40,28)s(24,8,12)+s(48,40,20)*+
t(32,32,28)s(32,48,20)-s(40,40,28)c(24,40,20)*-
s(24,32,20)s(24,40,20)c(32,32,20)c(16,48,12)-**
c(32,32,20)c(24,32,20)s(24,40,20)t(32,32,28)*--
c(32,32,28)c(24,32,12)-s(48,32,20)-s(40,24,28)*
s(24,24,20)s(40,32,12)s(48,8,12)c(16,24,12)++*
s(48,48,20)s(32,16,12)+t(24,40,28)-c(40,40,20)*
c(40,40,20)c(40,24,20)*s(48,40,20)s(40,32,28)**
c(24,32,20)s(32,40,28)*c(32,24,20)*c(40,32,20)*
c(40,40,20)c(24,24,20)t(32,24,20)s(24,24,20)*--
c(32,32,28)t(32,48,28)t(24,40,12)-*s(32,24,20)-
t(24,40,28)c(24,40,20)c(40,40,20)s(32,48,20)**-
s(40,24,20)c(24,32,20)-t(24,32,28)c(24,32,20)*+
c(24,32,20)s(40,40,20)c(40,32,20)c(40,40,20)***
t(40,48,20)c(40,48,12)s(48,48,20)c(32,40,20)-+*
s(32,32,28)s(24,40,20)t(24,40,28)*t(32,32,28)+*
t(32,32,28)t(32,48,28)s(32,24,28)s(40,32,28)*+*
c(24,40,20)t(48,32,12)+s(16,24,12)-c(24,24,12)+
c(32,32,28)s(40,48,20)c(16,32,12)+*t(32,48,28)*
s(40,40,20)s(40,40,28)s(32,24,28)*c(48,40,12)+*
s(32,24,28)c(40,40,20)t(32,48,28)*s(40,24,12)+*
t(24,48,28)s(40,32,28)-t(24,40,20)-s(40,48,12)-
s(24,24,28)s(32,40,28)*t(40,40,20)-s(24,24,20)*
s(40,40,28)t(24,24,12)s(48,48,20)+t(40,48,12)-*
s(32,32,20)t(32,32,20)s(40,48,12)-c(48,40,12)+*
c(40,32,20)s(40,24,12)c(24,24,20)s(16,32,12)-+*
s(24,40,20)c(32,32,28)s(16,40,20)*t(24,40,20)*-
s(16,48,20)s(8,32,12)-c(40,32,20)s(32,32,20)*-
t(24,48,28)s(16,48,20)s(40,32,20)c(24,32,20)+*-
s(32,16,20)t(32,32,28)s(48,16,12)+s(24,24,28)**
s(40,24,28)s(32,24,28)*c(32,24,12)-t(40,16,12)-
c(40,24,20)c(24,40,12)-s(16,40,20)s(32,32,12)+-
s(32,32,28)t(32,24,12)-s(40,40,28)*t(24,24,20)-
s(24,40,20)s(40,32,28)s(16,16,20)-+s(24,32,28)*
s(32,8,12)c(16,16,12)t(24,48,28)s(32,32,12)-++
c(32,32,20)s(24,48,12)-c(24,32,20)*t(32,32,20)*
s(40,24,28)s(32,16,20)*s(32,32,28)c(24,40,20)*+
s(24,40,20)c(24,32,20)c(32,32,20)c(40,48,12)-**
s(16,32,20)t(24,32,20)t(32,48,28)+t(32,32,28)**
s(40,40,20)c(40,40,20)c(32,32,20)*s(32,16,20)-*
t(24,40,28)s(16,16,20)s(40,16,20)s(48,24,20)---
c(24,32,20)s(24,24,20)s(40,24,20)--t(32,48,12)-
s(32,32,28)s(16,16,12)t(24,40,20)+*s(24,40,28)*
s(24,40,20)c(32,32,12)-c(40,40,20)s(24,32,20)--
c(32,40,20)c(24,32,20)s(40,48,20)+c(24,24,20)**
s(48,16,20)s(24,24,28)c(40,32,20)*+s(24,32,28)*
t(40,40,20)c(32,32,20)s(40,40,28)*c(40,24,20)*+
s(32,24,28)c(40,24,12)s(24,48,20)t(24,40,28)*+*
s(24,24,28)s(24,40,20)-t(24,40,28)s(16,16,20)+*
s(32,32,20)s(32,32,28)s(48,32,20)-t(16,16,12)-*
s(32,32,28)s(24,40,28)c(40,40,20)**c(32,24,20)*
s(24,24,28)s(32,48,20)-s(16,32,12)-s(40,24,20)*
t(24,48,28)t(24,56,12)-t(32,40,20)t(32,24,12)--
c(48,16,12)c(40,32,20)s(24,24,28)*+c(40,24,20)*
c(40,24,20)s(32,40,28)s(32,24,20)+s(32,16,20)**
t(24,48,20)t(24,40,28)*c(24,48,12)+t(32,32,20)+
s(24,32,28)c(32,32,20)s(48,40,12)-t(24,32,12)-*
s(24,24,20)s(24,16,20)t(40,32,12)t(24,40,28)+-*
t(48,48,12)s(40,40,20)c(40,32,20)c(40,24,12)-*+
c(24,32,20)c(32,40,20)t(40,40,20)c(40,48,12)+-*
c(40,40,20)s(32,40,28)t(40,24,20)-*t(32,32,20)-
s(24,40,28)t(32,48,28)c(40,40,12)-s(40,40,28)*-
s(48,40,20)c(40,32,20)t(32,32,28)t(40,24,12)-*-
s(48,32,20)s(40,32,28)c(16,48,12)s(40,48,20)+-*
t(32,32,28)t(48,40,12)-t(32,40,20)t(40,48,20)+-
s(16,32,12)c(32,32,20)t(40,16,12)-c(24,32,20)*+
s(40,24,28)c(40,32,20)*c(32,32,20)*t(24,24,12)-
t(24,40,28)c(32,24,20)-s(32,40,28)t(24,32,20)*+
s(32,16,12)s(16,16,12)t(24,32,28)+s(32,40,20)*+
s(32,32,28)c(32,40,20)s(40,40,28)*t(40,40,12)-*
s(24,24,28)t(24,32,28)s(40,40,28)*-s(8,8,12)-
c(16,40,12)c(32,32,20)s(40,40,20)*c(32,24,20)*+
t(24,32,12)s(24,16,20)+s(48,16,20)-s(24,32,20)*
s(32,40,20)c(40,40,20)*s(32,24,20)+s(40,48,20)-
t(24,32,28)t(40,40,20)s(24,24,12)+*s(16,16,12)-
s(32,40,20)s(16,40,20)t(32,40,28)s(32,24,20)*--
t(32,48,20)t(40,32,20)s(24,32,12)-+t(40,24,20)-
t(32,24,20)s(24,24,28)s(24,32,28)c(32,32,20)***
s(40,48,20)s(32,40,28)*s(40,16,20)s(32,24,28)+-
t(16,48,12)s(24,24,20)s(24,32,20)*+t(48,16,12)+
s(24,40,28)c(32,32,28)s(40,24,28)c(32,32,20)*-*
c(24,24,12)c(48,48,12)s(32,8,12)t(40,32,20)+++
s(16,8,12)c(32,40,20)s(48,40,20)*+t(40,40,20)*
s(40,40,20)c(32,40,20)*c(32,32,20)*s(32,24,28)*
s(24,40,28)t(24,40,28)t(32,32,28)s(40,40,28)**-
c(40,24,20)s(24,16,20)+c(32,32,20)*s(40,24,20)*
s(8,48,12)c(32,40,20)t(24,40,28)-+c(32,32,12)-
s(16,32,12)c(32,48,12)c(40,32,20)s(40,16,20)*++
t(32,32,28)s(48,32,20)s(24,8,12)++s(24,40,28)+
s(32,32,20)s(32,16,12)-c(24,32,20)*s(24,32,20)*
s(32,24,28)s(40,24,28)*t(24,32,20)-s(48,32,20)*
t(24,48,28)t(24,48,12)-s(40,40,28)c(40,48,12)--
s(32,32,20)c(32,24,12)-s(40,24,20)+t(24,40,28)*
s(24,32,28)s(24,40,12)-s(32,32,20)s(40,24,28)**
t(48,40,12)c(32,24,20)t(32,48,20)-+s(24,24,20)*
c(24,40,12)t(32,48,20)+c(40,24,20)c(32,24,20)*-
s(40,24,28)s(32,24,28)*s(48,24,20)s(48,16,20)**
c(32,24,20)s(32,32,28)s(32,16,20)*-c(40,24,20)*
s(40,32,28)t(32,56,12)+c(48,40,12)s(16,24,12)+*
s(40,32,20)s(32,24,20)s(24,40,28)*-s(24,48,12)-
c(40,40,20)c(24,24,20)+s(16,48,20)s(16,16,12)+*
t(48,48,12)s(24,16,20)s(32,32,20)-+t(40,24,20)+
s(24,40,28)t(24,48,28)s(40,48,20)*-s(32,32,28)*
s(24,16,20)c(32,24,20)*s(32,48,20)c(40,40,20)*+
t(24,24,20)s(32,24,28)c(32,32,28)t(32,48,20)-**
t(32,48,28)c(40,32,20)-t(32,40,20)c(16,16,12)+-
s(32,24,20)s(16,16,12)-t(32,40,20)t(32,32,20)+*
s(40,32,28)s(32,32,20)-s(40,40,28)*t(24,48,12)-
c(16,48,12)s(32,24,20)+c(32,32,20)c(24,48,12)-*
s(32,32,28)t(24,32,20)s(16,32,20)c(32,32,28)**-
s(16,48,20)s(24,40,28)s(32,40,28)*t(32,48,28)+*
t(32,56,12)s(32,32,28)t(16,40,12)c(24,16,12)+*+
s(24,48,20)c(24,48,12)-s(24,24,28)+s(24,40,20)*
t(48,16,12)c(24,24,20)+c(24,40,20)c(24,32,20)*-
c(32,40,20)s(32,32,20)*c(24,40,20)s(24,32,20)**
s(32,32,20)t(32,32,20)s(24,32,20)*c(40,24,12)+*
t(24,40,20)s(40,32,20)t(32,32,12)-+t(24,32,28)*
t(48,56,12)s(16,40,20)s(24,24,28)*s(40,32,12)++
s(48,40,20)s(24,40,12)+s(40,40,28)s(48,24,12)-*
s(32,40,28)s(24,40,28)c(24,32,20)**s(48,40,20)-
s(16,48,20)s(32,40,20)s(16,48,20)+t(24,48,28)**
s(24,40,28)s(40,24,28)*s(32,32,20)t(24,48,20)-+
t(24,48,28)s(32,40,28)c(24,32,20)*s(48,16,20)-*
s(32,24,20)s(32,32,28)t(48,40,12)-c(24,40,20)**
t(32,40,12)c(24,24,20)t(40,32,12)c(32,24,12)+*+
t(24,40,28)t(24,32,28)*s(24,24,20)t(24,32,28)**
s(40,24,28)s(16,24,20)s(40,16,20)--t(40,56,12)+
c(24,32,20)t(24,40,28)t(40,48,20)-c(24,40,20)**
s(40,24,28)t(48,16,12)-t(32,16,12)-s(24,8,12)+
c(40,32,20)t(32,32,28)s(24,24,20)-t(16,24,12)+-
c(32,32,28)c(40,32,20)s(24,32,28)s(16,24,20)-*-
s(24,40,28)t(32,40,28)*s(32,40,28)t(32,32,28)**
s(16,40,20)c(24,24,20)t(32,40,20)-+s(24,16,20)*
c(40,48,12)c(24,40,20)+t(48,24,12)c(32,40,20)+*
s(24,40,20)s(24,24,28)s(16,24,12)-s(24,32,20)*+
s(24,48,20)s(32,40,28)c(32,32,20)c(40,40,20)*--
t(32,40,28)s(16,32,20)+c(32,32,20)s(40,32,12)--
t(24,32,28)c(40,24,20)t(32,32,28)s(32,24,28)***
s(32,16,20)s(24,24,20)c(32,32,20)t(24,48,20)-*-
s(24,40,20)t(24,40,28)*t(32,48,28)s(32,40,20)**
s(32,32,28)s(40,48,20)c(24,32,20)s(24,40,28)*+*
c(32,40,20)s(32,24,20)c(16,24,12)-t(32,32,12)--
s(24,32,20)s(24,40,20)c(48,32,12)t(24,24,12)+-*
s(16,32,12)s(40,24,12)+t(24,40,20)+s(48,40,20)-
s(16,32,12)c(40,32,12)+c(32,40,20)+c(16,48,12)-
c(40,24,20)c(48,32,12)-t(32,32,28)s(24,24,12)--
c(40,24,20)s(32,24,28)s(24,40,12)-*s(40,40,28)*
s(40,40,28)s(16,8,12)t(40,32,20)+*t(32,32,28)*
s(40,40,28)s(24,40,20)s(32,40,28)t(24,40,28)**-
t(32,32,28)s(24,32,12)-s(32,24,28)*s(16,40,20)-
s(24,32,28)c(32,32,28)s(8,8,12)s(24,32,20)+-*
c(32,32,28)t(32,48,28)s(24,32,12)-*t(24,40,12)-
s(40,32,28)c(32,40,12)s(24,48,20)c(40,48,12)-+-
s(40,24,20)t(32,32,20)t(32,32,28)c(24,24,20)**-
c(24,40,20)s(24,24,28)s(32,24,28)*s(40,40,28)**
s(32,48,12)t(24,32,28)+t(16,48,12)c(48,48,12)+-
t(32,56,12)s(40,32,20)s(24,24,28)t(32,40,28)**+
s(24,24,28)c(16,16,12)-s(24,32,20)c(32,24,20)**
t(24,32,28)s(32,40,28)c(48,24,12)t(24,48,28)+**
s(24,32,20)s(24,40,28)t(32,24,20)-s(16,48,20)+*
s(24,24,28)c(32,40,20)t(32,32,28)**s(16,40,12)-
s(24,32,28)s(24,24,28)s(32,32,20)+*s(24,40,20)*
c(32,32,20)t(32,40,28)*t(32,32,28)*s(24,32,20)*
s(32,40,20)c(24,16,12)+t(16,24,12)-c(32,24,20)-
s(24,32,20)t(24,40,28)*t(40,48,20)-s(16,48,12)-
c(32,32,20)s(16,32,20)t(40,40,12)+s(40,16,12)+*
t(24,32,28)s(32,32,28)s(32,40,12)-*s(32,32,20)*
t(32,32,28)c(40,24,20)*s(24,40,20)s(40,40,20)+*
s(40,24,28)t(48,40,12)c(32,40,20)s(40,48,20)-+*
s(40,24,20)c(40,40,20)s(32,32,20)*-s(32,24,28)*
t(24,40,28)s(24,16,20)-s(16,48,20)c(24,40,20)**
s(32,40,28)c(32,24,20)s(40,24,28)t(24,24,20)-**
s(16,48,20)s(16,24,20)+c(24,32,20)c(16,16,12)+-
s(24,40,28)s(48,40,20)-t(32,40,28)c(24,40,20)**
c(40,40,12)t(40,56,12)+s(32,24,20)+s(40,48,20)*
s(48,32,20)s(32,40,28)+s(40,40,28)c(32,24,20)-*
t(32,48,28)s(32,40,20)*s(40,40,20)t(48,24,12)-*
t(24,32,20)c(24,40,20)c(24,24,20)**s(48,24,12)+
c(32,40,20)s(40,32,28)s(32,32,28)*c(24,40,20)*-
t(24,40,28)c(24,24,20)s(8,16,12)+*t(32,24,12)-
s(40,32,12)s(48,24,20)t(24,40,20)s(48,32,20)+*+
s(24,32,28)s(24,24,20)-s(40,24,20)+s(40,40,20)*
c(40,32,20)c(40,32,12)-s(32,32,28)s(24,24,20)*-
s(32,40,28)s(40,24,28)s(32,24,12)-s(40,40,20)*-
c(24,24,20)s(32,32,28)*c(24,40,20)s(32,40,28)**
s(24,24,20)c(32,32,28)t(24,48,20)*s(40,32,28)+*
s(32,32,28)c(32,48,12)-t(16,24,12)-s(24,24,12)-
s(32,32,20)s(40,40,12)s(40,16,20)+t(24,48,28)-*
s(40,40,28)s(24,40,28)*t(32,48,28)s(16,48,12)-*
t(32,32,12)s(48,24,20)s(48,24,12)-+c(32,24,20)*
s(40,40,28)t(24,32,20)s(48,24,12)+s(40,32,12)+*
s(32,24,28)s(48,40,12)s(16,32,20)+c(32,24,12)+*
s(32,32,20)c(32,24,20)+s(24,48,20)c(32,40,20)++
s(32,24,28)s(24,8,12)-s(32,24,12)-c(40,24,20)*
s(40,24,28)s(32,32,28)*c(32,32,20)s(24,24,28)**
s(32,24,20)s(40,32,28)*c(24,32,20)s(32,40,28)*+
s(16,24,20)c(16,32,12)t(24,24,12)t(32,40,20)++*
s(48,48,20)t(48,56,12)s(32,24,12)t(48,40,12)++*
t(32,40,28)t(32,32,12)-c(32,32,20)s(32,16,20)*+
s(24,24,12)c(40,40,20)+t(24,48,28)*c(16,32,12)-
t(24,48,28)s(24,32,28)t(24,24,20)s(32,32,28)*--
s(48,40,20)t(40,24,20)-t(48,48,12)-t(48,24,12)+
s(24,40,28)s(40,40,12)s(48,16,20)+c(40,24,20)*-
s(32,24,20)t(32,40,28)s(32,32,20)c(32,24,20)***
s(40,40,20)s(40,40,28)t(24,32,12)-t(48,24,12)-*
s(24,24,20)s(24,40,20)s(32,24,12)-s(16,24,12)+*
t(32,40,28)c(32,32,20)c(24,24,20)s(40,32,20)---
s(32,16,12)s(32,32,20)+s(24,32,28)+c(40,32,20)*
s(40,40,20)t(32,48,28)s(24,32,28)c(40,24,20)*+*
c(24,32,20)c(32,32,20)*c(40,24,20)c(24,24,12)--
t(24,32,28)c(24,32,12)c(16,48,12)+c(32,32,28)**
s(32,16,12)t(32,32,28)c(40,32,20)*+c(24,40,12)-
c(32,24,20)s(40,32,28)c(24,24,20)*s(32,32,20)*-
c(32,24,20)s(24,40,20)t(24,40,28)*-c(40,32,20)*
s(32,48,20)s(40,32,28)*s(8,40,12)t(32,48,28)+*
s(16,40,12)c(32,24,12)+t(24,32,28)*s(40,32,12)-
s(40,8,12)c(32,32,20)s(24,32,28)*+c(40,32,20)*
t(24,56,12)s(48,32,20)t(32,48,28)-+c(24,40,20)+
c(24,32,20)t(32,48,12)-s(32,40,28)*t(24,40,28)*
s(40,32,20)s(40,16,20)s(32,16,20)*-t(32,48,12)-
s(24,24,28)c(24,32,20)*c(40,24,20)*s(24,48,12)+
s(32,48,12)s(40,32,28)s(32,48,20)-s(32,24,28)*+
s(32,40,28)s(48,32,20)s(40,40,20)*t(32,40,12)+-
s(24,48,20)s(24,32,20)s(32,24,20)*s(32,40,28)*-
c(40,32,20)s(32,24,28)s(32,24,20)s(24,40,28)*--
c(40,40,20)c(40,24,20)s(32,40,20)-+c(40,40,12)-
c(32,32,20)s(24,24,20)t(24,40,28)s(24,24,28)**-
s(24,24,28)s(16,40,20)*s(32,24,20)s(32,8,12)-+
s(16,16,12)c(24,40,20)s(24,32,20)*+t(24,24,20)*
c(32,32,28)s(48,32,12)-c(32,32,20)s(32,40,20)**
s(24,24,12)s(48,48,20)c(40,40,12)-s(16,48,20)++
s(24,40,28)t(32,48,20)-s(24,32,20)t(24,32,28)*-
s(48,8,12)t(32,48,28)+s(24,40,20)s(40,40,28)**
c(32,24,20)c(40,24,20)s(24,40,28)*-s(48,32,20)-
c(32,32,28)s(40,32,20)s(24,40,12)--s(16,24,20)*
s(24,24,28)s(16,40,20)*s(24,48,12)s(32,16,12)+-
t(24,32,28)s(16,24,12)-t(32,24,20)s(40,16,12)--
s(48,32,20)s(40,32,28)s(48,24,20)s(40,24,12)-*-
s(16,32,20)t(24,48,28)c(40,40,20)--c(24,24,12)+
t(32,40,28)s(40,40,20)*s(40,32,20)c(32,32,20)**
s(48,24,20)c(16,16,12)c(24,40,20)+c(48,24,12)+*
t(32,40,28)s(32,24,28)*c(40,24,12)+c(32,40,20)+
s(24,40,20)c(40,32,12)+s(24,16,20)-s(32,24,28)*
c(32,32,28)s(32,48,20)c(24,40,20)s(40,32,28)**-
s(32,32,20)s(24,40,28)s(32,40,28)*t(24,32,20)--
c(32,24,20)s(40,48,12)t(32,48,28)c(48,48,12)-+-
s(40,24,28)t(40,32,12)-c(40,32,12)-s(32,24,20)*
s(24,40,28)c(32,32,20)s(32,24,12)-c(32,24,20)**
s(40,32,28)c(32,40,20)-c(32,16,12)s(48,40,20)+*
s(24,40,20)t(32,40,20)+s(48,8,12)+s(32,32,28)-
t(16,16,12)c(32,32,20)t(24,24,12)-+s(48,48,20)-
c(24,40,20)s(32,40,28)s(32,24,28)t(24,40,28)*-*
c(48,16,12)s(40,40,28)+c(32,40,12)-t(24,32,28)-
s(32,40,28)s(16,48,20)c(40,40,20)t(48,40,12)---
s(24,32,20)s(24,40,20)t(32,40,28)**t(40,16,12)+
c(32,32,28)s(16,40,12)-s(24,32,20)t(40,40,20)-*
s(48,8,12)s(48,32,20)s(48,24,20)s(48,16,20)**+
s(24,24,28)t(16,16,12)s(40,24,28)+*s(8,16,12)-
c(40,32,20)t(32,40,28)s(16,32,20)-+t(24,40,28)*
t(40,40,20)s(40,32,20)s(8,24,12)+c(40,24,20)--
c(24,24,20)c(32,24,20)c(40,40,20)s(40,24,28)*+*
s(16,24,12)t(32,40,20)+s(24,16,20)c(40,16,12)--
s(32,40,28)t(24,32,20)t(32,24,12)-s(16,48,12)+*
s(24,40,20)s(16,40,20)*c(40,40,20)-c(32,32,20)+
s(40,32,28)t(16,24,12)+s(40,32,20)-s(32,24,28)*
s(24,24,28)c(16,48,12)c(24,24,12)+-c(24,24,20)*
s(32,48,12)s(40,24,28)+t(48,32,12)s(24,40,12)+-
c(24,24,20)s(32,48,20)c(32,32,28)*t(24,48,20)*+
c(40,24,20)s(32,32,28)*t(32,32,28)s(32,24,20)**
s(16,24,20)s(32,16,20)s(40,16,20)+t(24,16,12)--
s(24,32,20)s(32,24,28)*s(40,40,12)-s(24,40,12)+
s(16,24,20)t(32,32,28)c(40,40,20)*s(24,24,20)-+
t(32,32,28)t(40,32,20)*t(24,48,20)s(40,48,12)--
s(24,40,20)c(40,24,20)-s(48,16,20)+s(40,24,20)*
s(40,32,12)c(24,32,20)c(24,40,12)-t(48,16,12)++
t(32,48,12)s(40,16,20)s(24,24,28)*+t(32,32,28)*
s(24,32,20)c(24,32,20)c(32,32,20)s(24,40,12)-**
s(40,32,28)s(32,32,28)+s(24,40,28)t(24,24,20)-*
s(40,48,20)s(40,32,20)t(40,16,12)+c(48,48,12)--
s(40,40,28)c(24,24,20)s(24,32,20)*t(24,32,20)*+
s(32,32,28)s(48,40,20)-t(32,48,20)-c(16,16,12)-
s(40,16,20)c(40,32,20)s(32,16,20)-s(32,32,28)+*
s(24,40,28)s(24,48,12)-s(16,24,12)-s(16,48,20)*
s(40,40,12)s(16,32,20)+t(24,24,20)-c(16,32,12)-
c(32,24,20)s(24,40,28)*t(32,40,28)+s(24,32,28)*
t(16,56,12)c(40,24,20)t(24,32,20)-+c(32,24,20)*
s(40,24,20)c(40,40,20)t(32,48,28)*s(40,48,12)--
s(40,32,28)s(40,40,28)t(32,48,28)+s(24,40,20)**
s(40,32,20)s(40,32,20)c(40,24,12)-c(16,40,12)+*
c(24,32,20)s(40,40,28)s(24,40,28)*c(40,40,20)**
c(40,32,20)s(48,24,20)*s(24,40,20)-s(48,32,20)*
c(32,40,20)s(48,40,20)*s(24,32,20)s(24,24,20)*-
c(24,40,20)c(32,48,12)-t(40,32,12)-c(16,16,12)+
s(40,24,20)t(32,40,28)s(24,40,28)*t(24,32,28)*-
c(24,40,20)s(40,32,20)c(32,40,20)c(24,40,20)**-
t(32,40,28)c(40,40,20)*s(40,24,28)s(32,40,20)**
c(32,24,20)s(16,16,12)-c(24,40,20)s(24,32,28)**
s(40,40,28)c(32,40,20)t(32,32,28)*s(24,48,12)-*
c(32,32,28)s(16,32,20)s(32,40,20)--t(40,48,20)-
s(48,16,20)c(40,32,20)s(24,40,12)+s(40,32,20)-+
s(24,32,20)c(24,24,20)c(40,40,12)-+t(48,56,12)+
c(24,32,12)s(24,8,12)t(40,40,20)+s(40,48,12)-+
c(24,40,20)s(32,32,12)-s(16,24,20)-t(32,16,12)+
c(40,32,20)c(40,40,20)t(24,32,12)t(32,16,12)+--
s(24,32,28)t(24,32,28)t(32,24,20)t(24,24,12)+*-
s(40,32,20)s(48,24,20)s(32,32,28)c(16,24,12)-**
s(24,24,20)t(32,24,20)*t(32,40,28)c(24,24,20)*+
s(24,48,20)s(40,48,20)s(40,32,28)*c(32,32,20)*-
s(16,16,20)s(16,24,20)*s(40,24,12)+t(40,16,12)-
c(32,16,12)t(32,40,28)s(24,40,12)-+c(32,24,12)-
t(48,56,12)t(32,40,20)+t(32,32,28)c(32,40,12)--
s(8,24,12)c(32,24,20)+c(24,40,12)-c(32,16,12)-
t(32,32,28)c(40,24,12)-s(40,32,20)s(32,24,28)*-
s(24,32,28)t(24,40,28)-s(32,40,20)c(24,32,20)*-
s(40,32,20)c(24,16,12)-c(24,24,20)s(24,32,20)*-
s(24,48,20)s(40,40,28)*t(24,40,28)s(32,48,20)**
t(32,40,28)s(48,16,20)s(48,40,20)-+s(40,32,20)*
s(32,24,20)s(24,24,28)t(40,32,20)-s(40,24,28)*-
t(40,24,12)t(24,32,28)s(32,32,28)*+s(32,16,20)*
t(32,32,28)t(40,32,12)-c(24,24,20)+s(24,48,20)*
c(40,32,20)t(32,32,12)-s(40,24,28)*c(32,32,20)*
c(32,32,20)s(32,40,28)*s(24,16,12)+t(32,48,28)*
t(24,40,28)c(24,40,20)t(24,24,12)-s(48,32,20)-*
c(32,32,28)s(16,32,20)*s(8,16,12)-s(32,40,28)*
s(40,16,20)s(48,48,20)+t(40,40,20)*s(24,40,28)+
s(40,32,20)t(40,40,12)-s(32,32,20)s(16,32,12)+*
s(24,24,20)s(32,32,28)c(24,24,20)t(24,16,12)-**
t(32,40,28)s(8,48,12)s(40,24,20)+c(40,32,20)*-
s(32,40,28)c(40,32,20)s(16,32,20)-s(32,40,12)-*
c(32,48,12)c(32,32,28)s(16,24,20)*+s(32,40,28)*
s(32,24,20)t(16,16,12)s(40,32,28)+s(24,32,28)*+
s(24,32,20)c(40,24,20)s(32,32,12)-s(40,40,28)*-
c(32,32,20)s(40,32,28)s(40,24,28)*t(24,40,28)*-
s(40,32,20)c(24,40,20)+s(48,24,20)c(32,32,28)**
t(24,32,12)t(32,48,20)t(24,40,12)++s(8,24,12)+
s(40,24,28)s(40,40,28)t(24,24,12)c(48,24,12)+-*
s(40,32,28)t(40,32,12)-s(24,48,20)-c(40,24,12)-
s(40,40,28)c(24,24,20)t(40,48,20)s(24,32,20)-+*
s(48,24,12)s(48,40,12)+t(32,32,28)s(40,24,20)*-
t(24,40,28)s(32,40,28)c(24,40,20)*s(16,48,20)**
s(16,40,20)c(24,40,20)t(16,40,12)-s(32,24,12)-*
t(40,32,20)s(48,24,20)t(24,40,20)+s(32,32,28)**
c(40,32,20)s(40,24,28)s(24,16,20)c(24,16,12)-+*
s(40,24,28)s(24,48,20)-s(48,16,20)t(32,32,28)-*
s(16,16,20)c(24,32,20)s(40,32,28)t(32,32,28)**-
c(24,40,20)c(24,32,20)s(24,24,28)*+s(32,40,28)*
s(32,40,28)c(40,24,20)s(32,32,20)c(48,24,12)-**
s(16,24,20)s(24,40,20)s(40,24,28)c(24,32,20)+*-
s(48,48,20)t(40,40,12)-s(40,48,12)-s(40,32,20)-
s(40,40,28)c(32,32,20)s(32,24,28)**s(32,48,20)-
s(40,40,28)s(24,40,12)s(8,40,12)+t(32,32,20)+-
t(32,48,28)s(40,40,28)*c(16,32,12)t(32,24,12)+-
s(40,40,20)c(24,40,12)-c(24,32,20)t(32,48,12)--
s(48,16,20)s(24,24,28)s(32,8,12)-c(32,32,28)*-
c(32,40,20)s(40,24,28)s(32,24,28)**c(32,24,20)*
s(32,40,20)c(32,24,12)s(32,48,12)+s(32,40,28)**
t(40,32,20)t(32,32,28)s(16,48,12)-+s(40,16,20)*
s(32,40,28)c(48,40,12)-s(32,32,20)s(40,40,20)*+
s(32,8,12)c(24,24,20)s(16,48,20)-+c(40,24,20)*
s(16,24,20)s(40,48,12)c(24,24,20)s(40,16,20)-+*
c(24,32,20)c(24,48,12)-s(24,32,28)s(32,16,20)**
s(48,32,12)t(16,16,12)t(24,40,28)+s(48,48,20)-+
s(32,40,28)c(48,24,12)s(32,24,28)s(24,40,20)*+*
s(24,40,28)c(40,40,20)s(24,40,12)-*c(32,16,12)-
s(24,24,28)s(24,32,12)-s(32,16,20)c(32,24,20)*-
s(24,8,12)t(24,32,28)c(32,32,20)c(16,32,12)--+
s(40,32,20)t(32,32,12)-t(24,24,12)+t(40,32,20)+
c(16,16,12)c(32,24,20)t(40,24,12)-s(32,32,28)*+
s(40,24,28)s(24,24,12)-c(40,32,20)*s(48,40,12)-
s(24,32,20)t(24,40,12)-s(32,40,28)s(32,32,28)+*
c(48,32,12)s(24,32,12)+s(40,24,28)s(16,24,20)-*
t(16,16,12)c(32,40,20)c(40,40,20)t(48,32,12)-*+
t(32,48,28)s(40,40,20)*s(40,32,20)s(48,48,12)+*
s(48,48,12)s(40,24,20)c(40,32,12)-+s(32,32,12)+
s(24,32,28)c(40,24,20)s(40,24,12)-*s(24,40,12)+
s(32,24,20)s(40,24,20)*s(24,48,12)+s(16,16,20)+
c(32,32,20)c(32,32,28)t(40,48,20)-*s(40,24,12)-
s(32,32,28)s(32,24,12)s(40,40,20)c(32,48,12)-+*
s(40,24,28)t(40,32,20)s(24,40,28)+*s(24,32,20)*
s(16,48,12)s(48,40,20)+s(40,40,20)-t(32,40,20)-
t(24,40,28)s(32,32,28)*s(24,40,20)*t(32,48,28)*
c(40,32,20)s(32,32,20)s(24,40,12)-c(16,32,12)--
c(16,48,12)s(16,32,20)+s(32,32,28)s(40,40,20)+*
t(48,16,12)c(32,24,12)+s(32,32,28)*s(24,32,28)*
s(40,40,28)c(32,32,20)s(48,40,12)-t(32,48,28)*-
t(24,32,20)s(16,32,12)s(40,24,28)+s(16,32,20)--
s(24,40,28)c(32,32,20)-t(32,48,28)+s(24,24,28)-
s(32,24,12)s(32,32,28)s(16,16,20)-+s(32,32,20)-
s(48,8,12)t(24,40,28)t(40,48,20)-s(16,32,20)*+
s(24,24,28)s(16,32,20)-s(16,16,20)t(48,48,12)+-
c(24,40,20)s(48,48,20)-c(24,32,20)c(24,24,20)**
t(32,40,20)t(32,48,28)t(32,56,12)-s(24,40,20)**
s(40,32,28)s(32,32,28)s(40,24,28)s(16,48,20)+**
s(48,24,20)s(48,32,20)c(24,32,12)+s(32,32,28)**
s(40,40,28)s(24,32,28)s(32,40,20)**s(24,40,12)-
t(40,32,20)s(48,32,20)*s(16,24,20)+t(40,32,20)*
s(40,32,28)s(40,40,20)s(32,40,12)--s(40,24,28)*
s(40,24,20)s(32,40,28)s(24,32,28)t(32,16,12)-*-
s(40,24,20)s(32,48,20)t(16,24,12)+-c(48,24,12)-
s(16,40,20)t(24,48,28)c(32,32,28)*t(40,56,12)-*
t(24,32,28)t(32,40,28)*s(24,40,20)s(16,16,20)+*
s(24,40,28)s(24,24,28)*c(24,40,20)*c(24,48,12)-
s(32,40,28)c(32,32,28)s(24,40,28)s(24,24,28)*-*
s(40,24,20)s(32,48,20)-s(32,24,28)*s(32,24,20)*
s(24,40,28)c(32,24,20)+t(24,40,28)-s(32,32,28)*
s(16,40,20)c(24,32,20)*s(48,8,12)+c(24,24,20)*
s(40,16,20)s(32,32,28)c(40,32,20)s(32,48,12)-**
c(32,40,20)c(32,24,20)c(24,32,20)**t(16,56,12)+
c(32,32,20)t(48,40,12)-s(32,32,20)s(48,32,20)*-
s(40,32,28)c(40,32,20)s(24,32,20)--t(24,32,28)*
c(40,24,20)s(24,32,20)c(32,32,28)s(24,16,20)*-+
c(24,32,12)t(40,48,20)+t(40,56,12)-s(32,24,28)*
c(24,32,20)c(40,24,20)*t(32,32,28)c(48,40,12)-*
c(32,40,20)s(40,48,12)-c(24,16,12)c(32,16,12)++
s(24,48,20)s(48,48,12)+c(24,40,20)s(48,24,20)-*
c(40,40,20)s(32,16,12)c(16,40,12)+s(32,40,28)*-
c(40,24,20)s(32,40,28)c(32,32,20)c(24,32,20)***
c(24,48,12)c(24,24,20)c(40,32,12)-+s(16,40,20)*
c(32,32,20)t(32,40,28)*s(24,32,12)-t(32,40,20)+
s(32,32,28)t(48,40,12)-c(32,32,20)s(40,32,20)*-
t(24,40,28)s(48,32,20)-c(32,24,20)s(32,32,28)*-
s(40,24,28)t(40,16,12)-s(48,8,12)-c(40,32,20)*
s(40,40,20)s(40,48,12)c(24,32,20)+*c(48,32,12)-
s(32,32,20)c(24,32,20)s(32,32,28)*s(24,24,12)-*
s(32,16,20)s(40,40,20)s(24,32,28)s(24,32,12)-+*
t(32,40,28)s(24,40,20)*c(32,40,20)s(16,48,20)*+
s(40,24,28)c(24,40,20)c(16,32,12)-s(16,40,12)--
t(24,48,28)s(24,40,20)s(24,32,12)c(32,48,12)+**
c(40,32,20)s(48,32,20)s(40,40,20)*-c(24,40,12)+
s(24,24,28)s(16,24,20)s(24,32,28)*-t(24,40,28)+
c(24,40,20)s(40,40,20)t(48,24,12)-c(48,48,12)-*
s(40,40,12)s(24,16,12)+s(40,24,20)s(32,16,20)*-
s(40,32,28)t(32,48,28)s(48,32,12)s(32,48,20)+*-
c(24,40,20)c(16,24,12)-t(32,40,20)s(40,16,20)+*
t(24,32,28)t(32,40,28)*s(48,40,12)+t(24,32,28)*
s(32,40,28)s(24,48,12)s(32,48,20)s(32,24,28)-+*
s(48,32,20)c(24,16,12)s(40,40,28)+t(48,48,12)-*
s(32,32,28)t(32,40,28)t(40,32,12)-+s(40,40,28)*
s(32,24,28)s(32,32,12)-s(24,24,28)*c(16,32,12)-
t(40,40,20)s(40,40,28)t(48,40,12)-*s(48,32,12)+
t(32,32,28)s(24,48,20)s(16,40,20)*-s(32,24,28)*
s(24,32,28)s(32,40,20)s(32,8,12)+-c(32,16,12)-
c(24,40,20)t(16,32,12)-s(32,16,20)t(16,24,12)--
c(24,40,20)s(32,24,28)s(48,24,20)s(40,40,20)-+*
s(40,16,20)s(48,16,20)*s(40,24,20)s(48,32,20)+*
c(24,32,20)s(24,24,28)s(32,8,12)-s(40,40,12)-*
t(32,40,28)s(48,48,20)s(48,40,12)--s(40,40,28)*
s(24,24,20)t(32,32,28)s(24,24,28)*t(24,40,12)-*
s(40,40,12)t(40,24,20)c(16,32,12)++t(40,32,20)*
c(32,32,28)c(24,24,12)-s(32,24,20)-t(24,48,28)*
t(32,32,28)t(16,16,12)s(32,24,20)s(16,16,12)-+*
s(32,40,20)t(32,24,20)s(24,40,20)c(16,48,12)-++
s(40,24,28)s(24,32,28)s(32,32,28)**s(32,16,20)*
s(32,24,28)c(40,24,20)c(24,16,12)-s(32,32,28)*-
c(32,32,20)t(32,48,20)-s(32,40,20)*s(16,40,20)+
s(24,32,28)t(32,48,28)-s(16,48,20)+s(16,48,12)-
s(48,40,20)c(48,40,12)c(16,32,12)+c(40,40,20)+*
c(24,32,20)c(24,40,20)*t(48,16,12)s(32,40,28)+*
s(40,40,28)c(32,40,20)*s(24,32,28)*t(40,32,12)-
s(48,48,12)s(16,40,12)+s(32,40,20)s(40,40,12)--
c(24,32,20)s(16,24,20)s(48,48,20)+*c(24,24,20)*
c(32,32,20)t(24,48,20)-s(40,16,12)-s(24,32,20)*
c(24,32,20)c(40,24,20)s(24,24,28)*s(48,48,20)-*
t(32,40,28)c(32,32,20)t(32,40,28)+t(24,40,28)**
s(16,40,20)c(32,32,20)t(16,48,12)+s(40,48,20)*-
s(8,8,12)s(32,32,28)+s(32,32,20)s(16,32,20)--
s(32,48,12)s(32,32,28)t(32,40,28)t(32,48,20)*-+
s(40,32,28)s(16,24,20)t(24,32,28)*-s(40,16,20)*
c(48,16,12)s(48,24,20)s(32,16,20)-+t(40,48,20)+
s(16,32,20)t(32,40,20)-s(24,40,28)s(16,24,20)**
t(24,40,28)s(40,48,12)-t(48,32,12)+s(24,32,28)*
s(32,40,28)s(32,32,28)t(40,40,20)-t(24,48,28)--
c(40,32,20)s(40,32,28)s(24,32,12)-t(24,48,20)-*
s(32,40,20)t(32,24,12)-c(40,24,20)t(32,48,20)+*
t(40,24,20)t(24,32,20)+t(32,40,28)s(32,24,28)**
s(48,40,20)s(24,32,28)s(32,16,20)+t(32,32,28)*-
s(40,16,20)t(32,32,12)+t(32,40,28)c(24,32,20)*+
s(24,32,20)s(16,40,20)s(24,16,20)c(24,24,20)*+*
s(40,24,20)s(32,40,20)c(40,40,20)*t(32,48,12)--
t(32,40,28)c(40,32,20)t(24,48,28)c(48,40,12)+**
c(32,32,28)s(48,48,20)s(24,40,28)--t(24,48,20)-
s(16,48,20)c(16,40,12)c(32,40,20)+s(24,32,28)**
s(16,40,20)t(24,40,28)*t(16,56,12)-s(16,32,20)*
t(24,40,28)s(40,24,28)c(32,40,20)c(32,32,20)**-
t(32,32,20)t(24,24,20)+s(40,24,28)*s(32,24,20)*
s(48,32,20)t(24,40,28)-c(48,48,12)-c(40,32,20)*
c(24,24,20)s(32,32,12)-s(48,24,12)+t(24,40,12)+
c(32,32,20)c(24,32,20)*c(24,24,20)c(24,40,12)-*
t(40,48,20)c(32,32,20)c(32,24,20)t(32,48,20)-*-
c(32,32,20)s(16,40,12)+s(48,24,20)-t(24,40,20)-
s(24,32,28)s(16,24,20)+s(32,24,20)s(32,16,20)**
s(40,24,28)c(40,40,20)t(40,40,12)-t(24,40,28)*-
c(24,40,12)c(48,40,12)+s(32,24,28)s(8,8,12)+*
t(24,40,28)c(40,40,20)t(32,40,20)s(24,32,20)+**
s(24,48,20)c(40,32,12)t(24,32,20)+t(32,40,28)*-
s(32,24,12)s(48,24,20)+s(32,16,20)-s(8,24,12)+
c(40,32,20)c(40,24,20)s(48,8,12)-*t(40,32,20)*
s(40,24,28)c(24,32,20)*t(32,40,28)+s(24,40,28)*
s(24,40,28)c(32,24,20)s(48,24,12)-t(32,32,28)+*
s(32,24,20)s(40,32,28)+s(24,24,12)-c(32,32,20)*
s(24,32,20)t(24,48,28)s(24,40,28)*t(24,40,28)+*
t(24,32,28)c(32,40,20)s(48,24,20)c(24,40,20)--*
s(24,24,28)s(40,16,20)*t(24,32,20)-t(32,24,12)+
t(24,48,28)t(32,40,28)*t(40,40,20)t(48,16,12)+-
s(40,48,20)s(8,16,12)c(40,32,20)+s(40,40,20)**
s(16,24,20)s(40,32,28)t(32,40,28)*c(24,40,20)*-
c(32,24,20)s(40,48,20)c(40,32,12)+-s(40,16,12)-
c(32,32,20)s(40,32,20)*s(40,32,20)s(24,40,20)-*
s(32,24,20)c(40,40,20)c(40,40,12)-+s(24,16,20)-
t(24,24,20)c(40,40,20)s(48,32,20)*-s(16,24,20)*
t(24,40,28)c(16,48,12)-c(32,32,28)s(32,16,20)*-
s(24,32,28)s(24,40,28)s(16,32,12)s(32,48,20)+**
s(40,40,28)t(40,48,20)c(40,24,20)+*s(32,40,20)-
t(32,32,20)s(32,40,28)c(40,40,20)c(32,32,12)-*-
s(32,24,28)t(32,40,28)s(40,32,20)c(32,40,20)***
s(40,40,28)c(24,32,20)s(24,32,28)c(16,32,12)-*-
s(32,32,28)s(24,40,28)*t(24,48,28)*s(24,48,20)*
s(24,32,28)s(40,32,20)c(48,16,12)-c(32,24,20)**
c(40,40,20)t(16,48,12)+s(40,32,28)*t(24,40,28)*
s(40,32,28)t(40,40,20)-s(24,32,28)s(32,40,28)*-
s(32,48,12)s(40,16,20)c(32,24,20)*+c(16,16,12)+
s(24,24,28)s(40,24,28)s(16,40,20)-c(32,24,20)**
c(32,32,28)s(16,40,12)-s(48,40,20)*c(48,24,12)-
t(32,24,20)t(40,40,20)+c(40,32,20)s(24,32,28)--
t(24,48,28)t(32,48,12)-s(32,40,20)c(24,40,20)*-
s(24,40,20)c(32,32,28)s(40,16,20)-*s(32,24,28)*
t(24,32,28)s(24,40,28)t(24,32,12)-*s(8,24,12)-
s(16,32,20)s(24,24,28)*c(32,32,20)s(40,40,28)*-
s(32,24,20)c(32,24,20)s(32,40,28)s(24,32,12)--*
s(24,32,28)t(16,32,12)-c(24,32,20)s(40,16,12)+*
s(48,48,20)c(24,32,20)+s(16,40,20)*s(32,32,28)*
s(32,8,12)s(32,48,20)c(32,40,20)*+t(32,40,20)*
c(32,32,20)t(32,48,28)s(32,40,28)c(48,16,12)+**
t(24,48,28)t(24,32,28)+c(32,24,20)s(24,32,20)*-
t(40,40,20)s(40,24,20)c(40,40,20)*t(32,48,28)+*
s(24,40,28)s(24,24,20)-s(32,40,20)*s(40,24,20)-
t(24,32,28)t(32,32,28)s(48,32,12)-t(32,40,28)**
t(32,48,28)s(40,40,28)t(24,32,28)*+c(40,24,20)-
s(48,24,20)c(32,24,12)-s(40,32,28)c(40,48,12)-*
s(48,40,20)c(48,16,12)s(32,48,20)s(48,48,20)*+-
s(32,40,28)s(32,16,20)c(24,32,20)*-c(40,24,20)*
t(40,48,20)c(32,32,28)t(40,40,20)-c(32,32,20)+*
c(32,40,20)s(32,16,20)-t(48,56,12)t(32,40,28)+*
c(24,32,20)s(40,40,28)*c(40,32,20)t(40,40,12)-*
c(40,40,20)c(40,32,20)s(32,24,20)*-s(48,40,20)*
s(24,48,20)t(24,32,28)t(48,40,12)s(24,40,28)+**
s(24,48,20)s(40,40,12)-s(32,48,20)c(32,32,28)**
s(24,32,28)s(32,48,20)-s(24,24,20)*s(48,24,20)-
s(40,24,20)c(40,40,12)+s(24,24,28)s(32,32,28)**
s(24,24,28)t(24,40,20)-s(16,32,20)-t(24,48,20)+
s(48,16,20)c(40,24,20)s(8,40,12)s(32,16,20)+*-
s(32,24,28)t(32,32,20)c(16,40,12)--s(40,32,28)*
t(32,32,28)c(40,32,20)t(32,32,20)t(40,48,20)--*
s(40,32,28)c(32,32,20)*s(32,40,20)t(24,40,28)**
t(32,40,28)s(32,40,28)c(32,32,28)s(24,24,12)-**
t(32,48,28)s(40,32,12)-c(40,32,20)+t(32,32,28)-
c(40,24,20)s(32,16,20)*c(16,16,12)t(24,32,20)+-
c(24,16,12)s(8,24,12)+s(16,32,12)t(48,24,12)+-
s(40,24,20)c(24,32,20)c(40,32,20)*-s(40,32,28)*
t(24,48,28)s(40,40,28)s(40,32,28)s(48,24,12)-**
c(40,32,20)s(32,16,20)t(40,16,12)--s(24,32,12)-
c(40,32,20)c(24,40,20)t(32,32,20)c(48,32,12)--+
c(40,32,20)s(16,24,20)+s(24,32,28)s(40,24,20)*-
s(24,32,28)s(32,32,28)*c(32,32,28)s(40,24,20)-*
c(24,32,20)s(16,40,20)c(24,40,20)s(48,48,20)+**
c(24,40,20)s(24,24,28)s(40,32,28)s(40,24,28)***
s(40,48,20)s(24,40,28)s(32,16,20)-c(40,40,20)**
s(40,24,28)c(40,40,20)t(24,48,28)s(24,24,20)--*
t(32,32,20)c(48,32,12)-t(16,32,12)+s(48,24,20)-
s(40,40,28)s(32,40,20)t(16,16,12)+-c(32,32,20)-
s(40,16,20)t(24,24,20)s(32,24,20)*-s(48,40,20)-
c(24,40,20)t(24,40,28)s(16,48,20)s(8,32,12)-*-
s(40,24,28)c(40,32,20)t(32,32,28)c(32,24,20)**-
s(40,16,20)s(40,32,28)t(40,24,20)-s(16,24,20)--
s(32,16,20)c(40,24,20)s(24,24,28)c(32,32,20)*--
s(24,24,28)s(48,16,20)-s(32,48,20)t(32,40,28)*-
c(24,48,12)t(40,24,12)+s(40,48,20)t(40,32,12)--
s(32,32,20)s(24,48,20)c(40,48,12)--s(16,32,12)-
c(40,48,12)c(32,24,20)s(32,32,20)*+t(24,32,20)*
s(40,32,20)c(48,24,12)t(32,32,12)+c(16,24,12)+*
s(40,32,20)s(40,24,20)c(24,24,20)*-s(40,40,20)*
c(32,32,28)t(40,24,20)-c(40,40,20)+s(40,24,28)*
t(24,24,20)s(24,16,20)*c(32,48,12)+t(32,56,12)-
t(16,56,12)t(24,32,12)+t(32,32,20)+s(40,32,12)-
s(16,24,20)s(24,24,28)s(40,8,12)c(24,32,12)+*-
s(24,32,28)s(32,32,28)c(32,24,20)**s(40,40,20)-
t(40,56,12)c(40,48,12)+s(16,40,20)+t(32,40,20)-
t(32,48,28)c(16,16,12)t(24,40,28)+c(24,40,20)*-
c(32,32,28)t(24,48,28)t(32,40,12)-s(32,48,20)+-
t(40,40,20)s(40,24,28)c(32,32,28)*s(40,40,12)-+
t(32,32,28)c(40,32,20)*t(32,16,12)-c(32,24,20)*
s(32,40,20)c(48,40,12)t(24,32,28)t(40,40,12)-+*
s(32,40,20)s(48,48,12)-s(48,48,12)+s(32,32,12)-
c(32,40,20)s(40,48,20)-t(16,56,12)c(32,48,12)+-
s(40,40,20)t(40,24,20)-s(24,40,12)+s(32,48,20)*
c(40,32,20)s(16,48,20)+c(32,32,28)*s(16,32,20)-
s(32,40,28)c(32,40,20)s(40,24,28)*s(16,32,12)--
s(24,48,20)t(32,48,20)c(32,24,20)s(40,48,20)-+*
s(24,24,20)s(48,16,12)t(32,48,20)+t(32,32,28)+*
s(48,48,20)s(24,40,20)s(40,32,28)*-t(32,32,20)-
t(24,40,20)s(24,48,20)t(32,32,20)t(32,48,20)-+*
s(24,40,20)t(24,56,12)s(40,32,12)+-c(40,48,12)-
s(24,24,28)c(48,48,12)s(24,40,20)+-s(16,24,12)-
c(32,32,20)t(48,16,12)s(24,16,12)+-s(16,40,20)*
c(40,32,20)s(24,8,12)c(24,40,20)s(16,24,12)-+*
s(32,48,20)s(24,48,20)*s(32,32,28)s(24,40,20)**
t(24,48,28)s(24,40,28)*s(16,48,20)*s(16,40,20)*
c(24,40,20)t(32,48,28)s(40,40,28)*s(40,40,20)**
s(32,32,28)c(40,40,20)*s(32,48,20)t(32,40,28)**
s(24,32,20)c(24,40,12)c(40,32,20)s(48,48,20)-+*
s(24,40,28)t(24,40,20)c(32,24,12)--s(40,24,28)*
c(48,40,12)s(40,48,20)+s(32,24,20)s(16,24,20)--
s(32,32,28)c(24,32,20)*t(40,40,20)-t(24,32,28)*
s(16,40,20)c(32,32,20)s(16,24,20)+t(40,32,12)-*
s(24,16,20)s(32,24,28)s(24,40,20)s(40,40,20)*-*
c(32,24,20)c(32,32,20)s(40,16,20)+s(24,32,28)**
s(24,24,28)s(32,32,20)c(40,24,20)**s(48,32,12)-
t(24,48,28)c(24,40,20)c(24,24,20)*-s(40,32,28)-
s(32,40,20)c(32,24,20)s(24,24,28)+*s(32,24,20)*
s(24,24,28)t(32,48,12)+s(16,24,20)-s(40,32,20)*
s(40,24,20)c(24,24,20)*s(16,32,12)+c(16,48,12)+
s(32,40,28)s(24,32,28)s(16,16,20)-c(24,32,20)**
c(32,32,28)s(24,40,20)t(32,24,12)--s(32,24,28)*
s(40,40,28)t(32,32,20)c(24,24,20)*-s(32,48,20)*
t(24,40,28)t(24,48,28)*t(24,48,28)s(32,24,20)-*
s(32,40,28)c(40,32,20)s(32,16,12)-*s(32,40,20)*
t(32,32,28)c(32,24,20)c(32,32,20)*+t(24,40,20)*
s(16,40,20)s(8,48,12)-c(24,32,20)*c(40,40,20)+
s(32,40,28)s(24,40,20)s(32,24,20)t(32,32,20)*-*
t(32,32,28)s(32,24,28)s(16,16,12)s(40,40,28)+*-
s(24,32,28)s(40,32,20)*s(32,40,20)t(32,32,28)**
c(24,24,20)s(40,32,28)*t(32,32,28)*t(40,24,12)+
s(40,40,28)c(32,32,20)t(32,56,12)c(16,40,12)+-*
t(32,32,28)t(32,40,20)s(24,16,20)--s(40,40,28)*
s(24,32,28)t(24,48,20)-t(40,24,12)-t(24,32,20)*
s(48,40,20)s(40,40,20)s(48,16,20)-s(40,24,28)*+
c(32,32,20)s(24,32,28)*s(24,24,20)t(24,32,28)**
t(32,40,28)c(32,32,28)c(24,40,20)c(32,24,20)--*
t(16,48,12)s(48,24,20)c(32,24,20)*+t(16,40,12)-
s(24,32,20)s(8,40,12)-c(40,40,12)-c(24,40,20)*
c(24,40,20)s(24,48,12)-t(24,32,28)t(48,56,12)+*
s(16,16,20)s(40,40,28)s(40,32,28)*t(48,40,12)--
s(24,32,28)s(48,16,20)-c(32,24,20)c(32,16,12)--
c(32,40,20)s(40,24,12)-s(40,32,28)*c(16,48,12)-
s(24,32,28)t(24,32,28)t(32,32,28)+s(32,16,20)**
s(24,24,28)c(40,32,20)c(24,16,12)-*s(32,16,12)-
c(24,32,20)c(16,24,12)-c(24,40,20)*c(40,40,20)*
t(32,40,28)t(40,40,12)-s(24,32,28)t(32,40,28)**
s(32,48,20)s(40,40,28)*s(32,32,28)s(16,40,20)*-
c(24,24,20)t(24,32,28)t(32,40,28)*s(24,32,20)*-
s(32,48,20)t(24,40,20)-s(32,40,20)t(32,32,20)*-
s(16,40,20)s(24,32,20)s(24,40,20)**s(24,24,28)*
s(32,8,12)s(48,48,20)t(24,40,28)-+s(48,24,20)-
s(48,24,20)s(40,40,20)+s(48,48,12)-c(40,32,20)*
c(24,32,20)s(32,32,20)s(24,24,28)s(40,8,12)-*-
s(40,32,28)s(32,32,28)c(32,40,20)s(24,40,28)*-*
t(40,32,20)t(32,32,28)c(32,32,20)*c(32,40,20)**
c(40,40,20)t(24,40,28)*t(16,16,12)+t(40,40,12)-
c(40,40,20)s(40,48,20)s(40,40,28)c(24,40,12)-*-
s(40,16,20)s(32,32,20)t(40,32,20)-+c(40,40,20)-
t(24,48,28)s(32,32,28)t(24,24,20)*-s(32,40,20)*
s(32,24,28)c(40,40,20)*s(16,40,20)t(16,24,12)--
t(24,40,28)s(40,32,28)*s(32,40,20)s(16,40,12)-*
c(32,40,20)c(48,48,12)-c(40,40,20)c(32,40,20)**
c(24,24,20)c(32,40,20)s(24,48,20)*+c(40,40,12)-
t(24,32,28)t(24,40,28)s(8,48,12)-*t(16,40,12)-
c(40,32,20)c(32,40,20)s(16,32,12)-s(32,32,28)*-
s(48,16,20)s(24,16,20)s(24,16,12)s(16,24,12)+--
s(32,40,28)s(40,32,28)c(40,32,12)-t(24,24,20)-+
s(40,48,20)s(32,32,28)c(48,32,12)--t(40,32,12)-
t(24,32,28)s(40,40,28)+s(32,24,20)c(24,24,12)--
c(32,32,20)s(24,24,28)*s(32,40,28)s(32,24,28)**
s(40,32,20)s(48,32,20)*t(32,48,28)+s(32,24,28)-
s(40,16,20)t(40,48,20)c(32,24,12)+t(24,48,20)--
t(24,48,28)s(32,32,28)c(24,24,20)*-t(24,48,20)*
s(32,24,20)t(24,48,28)s(24,40,28)t(16,24,12)-*-
c(24,24,20)s(24,24,20)c(32,24,20)+*c(32,40,20)*
s(48,16,20)s(40,40,28)t(40,24,20)*-c(16,48,12)+
s(24,24,28)s(48,8,12)s(48,24,20)t(24,32,12)++*
c(32,32,20)s(48,40,20)s(32,40,28)s(32,32,28)***
s(32,24,28)c(48,32,12)-c(32,32,20)t(32,16,12)-*
c(40,24,20)s(32,24,28)*s(24,40,28)t(24,24,20)*-
s(24,48,20)s(8,40,12)-c(32,40,20)*t(40,40,12)-
s(40,32,20)s(24,40,28)s(24,24,28)*s(32,32,28)**
c(24,40,20)s(48,48,20)-s(24,32,28)*s(32,40,20)*
s(40,40,20)c(32,32,20)s(40,32,12)--s(48,8,12)+
t(24,48,28)t(24,40,12)-s(32,8,12)+s(32,40,28)*
s(16,40,20)s(16,32,20)*s(48,48,20)s(32,32,28)+*
s(24,32,20)c(32,40,20)s(40,32,28)**s(16,24,20)+
s(40,16,20)c(40,32,20)s(40,40,12)-s(48,40,12)--
s(32,24,20)c(16,32,12)t(32,40,28)c(40,40,20)*+*
c(48,40,12)c(32,32,12)+t(24,24,12)-s(40,16,12)+
t(32,32,28)s(24,32,20)*s(24,40,20)*s(16,16,20)-
t(32,24,20)s(32,16,20)t(24,40,28)s(24,24,28)-+*
t(32,40,20)s(32,32,28)s(32,24,20)s(24,48,20)-*-
c(32,40,20)c(40,24,20)+s(24,40,28)*c(24,24,12)-
s(16,32,20)s(24,24,20)s(16,24,20)*s(32,24,28)**
s(24,48,20)s(48,16,20)+s(24,8,12)t(24,48,12)+-
t(24,40,28)s(24,24,20)t(24,56,12)+t(32,48,28)--
t(32,32,28)c(24,32,20)s(24,40,20)*+c(24,40,20)*
c(24,24,20)t(40,40,20)-s(32,40,28)-s(8,16,12)-
s(32,32,28)s(24,40,20)s(16,48,20)*-t(24,16,12)-
c(24,32,20)c(24,24,20)*c(32,32,20)*c(32,40,20)*
c(32,32,20)s(32,40,28)s(16,16,20)-s(24,40,20)**
t(32,40,20)c(24,16,12)+s(32,32,28)s(48,32,20)*-
c(32,32,28)s(24,48,20)*c(32,32,20)*s(40,8,12)+
s(32,48,20)c(32,40,20)c(32,32,20)*t(24,40,28)+*
c(24,32,20)s(32,24,20)*s(48,32,20)s(24,32,20)+*
t(24,48,28)c(24,40,20)c(32,32,28)s(48,40,12)-**
s(48,8,12)t(32,40,12)+t(24,32,28)c(32,48,12)--
s(16,16,20)s(32,40,28)s(48,32,20)s(40,40,28)+*+
c(24,32,20)s(24,16,20)c(40,40,20)-s(32,40,12)+*
t(24,32,28)s(24,24,28)t(40,24,20)s(32,40,12)--*
s(32,32,20)t(32,24,20)t(24,32,12)+*c(40,32,20)*
s(40,32,28)s(24,40,20)c(32,24,20)*-c(32,40,12)+
s(40,40,20)s(40,40,20)s(32,40,12)-c(32,48,12)++
t(24,32,28)c(48,40,12)+s(40,32,20)*c(24,48,12)-
s(32,32,28)s(32,24,20)c(32,40,20)+s(24,24,12)-*
t(32,40,28)s(40,32,28)s(32,32,28)s(32,24,28)***
c(32,32,20)c(40,24,20)*s(32,40,28)*t(32,32,28)*
c(32,32,28)s(24,48,12)-c(32,32,20)*s(32,40,12)-
c(32,16,12)s(16,40,20)+s(24,40,28)t(32,32,12)-*
t(24,40,28)s(40,24,20)s(32,32,20)s(40,48,20)+*-
c(40,32,20)t(32,40,28)*c(24,40,20)s(32,32,20)**
s(32,24,28)s(48,32,20)*t(40,40,12)+c(16,48,12)+
t(32,32,28)s(40,40,28)*s(32,24,28)s(24,32,12)-*
c(24,40,20)s(40,24,28)s(32,40,28)*-s(32,32,28)*
s(40,40,20)c(32,40,20)t(32,32,28)+*s(24,48,20)-
s(40,48,20)s(32,40,20)*t(48,16,12)+s(40,48,12)-
t(32,24,20)s(40,48,20)s(24,24,20)s(16,8,12)-+*
s(32,16,20)s(24,16,20)s(24,32,28)+*c(48,16,12)-
s(24,32,20)c(24,32,20)t(40,32,12)-s(32,24,12)-*
t(24,40,28)c(48,24,12)+t(24,48,28)s(24,40,12)--
s(24,32,20)s(24,40,28)s(16,16,20)-s(40,32,20)*-
s(16,16,20)t(32,24,20)s(48,48,20)++t(32,24,12)-
s(48,40,20)s(32,24,28)s(16,32,12)--c(32,16,12)+
s(40,32,28)t(32,32,28)s(16,16,20)c(32,40,12)++*
s(32,40,28)s(48,40,12)s(16,16,20)s(8,24,12)-+-
s(24,24,28)c(24,40,20)s(32,24,12)+s(32,16,20)-*
c(24,24,12)c(40,40,20)+t(40,24,20)s(40,40,20)+*
s(16,48,20)t(32,32,28)t(40,48,20)-s(24,8,12)+-
t(32,40,28)t(48,24,12)t(24,32,28)t(32,24,12)-+*
s(24,32,20)c(40,32,12)+s(40,32,28)*s(40,24,20)*
s(40,24,28)c(24,24,20)*c(40,24,20)s(48,16,20)*+
c(48,24,12)s(24,48,20)c(24,40,20)*t(32,48,28)*+
s(8,48,12)s(40,16,20)+s(16,40,20)s(24,32,12)--
s(24,48,12)s(32,32,20)c(16,24,12)-c(16,48,12)-+
t(24,48,20)s(40,32,20)-c(40,40,20)+s(32,40,20)-
s(24,48,20)s(32,32,28)t(24,24,12)-*s(32,40,20)*
s(40,40,28)s(32,24,28)*s(24,40,28)s(16,24,12)-*
t(24,48,28)c(24,32,20)c(32,24,20)*-t(40,48,20)-
c(40,24,20)c(32,24,20)t(32,32,28)t(32,40,28)***
s(16,24,20)t(32,40,28)c(32,24,20)*+c(24,32,12)-
t(32,48,28)s(40,40,28)c(24,40,20)s(32,32,28)***
c(32,24,20)t(48,24,12)-c(40,32,20)*s(16,32,20)+
c(32,32,20)s(32,32,20)s(32,24,28)c(40,40,20)**-
c(24,40,20)s(32,48,20)*s(48,40,20)s(48,48,20)*-
s(48,16,12)s(8,24,12)t(48,40,12)+s(24,24,12)++
s(32,24,20)s(40,24,28)c(40,32,20)s(48,40,20)*-+
s(40,24,28)t(40,24,20)s(48,40,12)--s(32,40,12)-
c(32,40,20)t(32,24,12)-s(8,40,12)+s(32,40,20)-
t(24,48,28)s(32,16,20)s(24,48,20)+*c(32,32,28)*
s(40,40,28)t(32,32,28)*s(32,32,20)*s(32,24,20)*
c(24,40,20)c(24,40,20)s(32,40,28)s(40,24,28)-*-
s(40,16,20)s(32,24,20)c(32,32,28)c(32,32,20)---
s(40,32,28)s(40,24,28)s(16,40,20)-*s(48,40,20)*
s(32,32,28)s(16,32,20)s(24,32,20)s(40,40,28)*--
t(32,24,20)s(40,40,12)+c(40,32,20)*s(40,32,20)*
s(40,48,20)s(40,32,20)+s(40,40,28)*s(40,24,28)*
c(40,40,12)s(24,32,20)c(24,24,20)*+t(32,48,12)+
s(48,40,20)s(48,48,20)s(24,48,20)-*c(32,48,12)+
c(32,32,28)s(48,24,12)-c(32,40,20)s(24,40,20)-*
c(24,24,20)t(32,40,28)t(24,40,28)*s(40,40,28)*-
t(32,40,28)s(24,40,28)*s(24,32,20)s(32,24,12)-+
s(24,24,28)s(40,48,12)+s(16,16,12)-s(40,40,20)*
s(24,40,20)t(16,24,12)-t(40,48,12)-c(32,40,20)*
c(32,32,12)s(32,16,20)+t(40,48,12)s(32,32,12)+-
s(32,40,20)t(24,40,20)+s(24,32,20)c(32,40,20)**
s(40,40,20)s(32,48,20)+s(24,32,28)*s(32,48,20)*
t(40,32,20)t(16,56,12)+s(40,40,12)-t(24,48,12)-
c(40,40,20)c(32,48,12)s(24,32,28)t(32,48,28)*+*
t(24,32,28)s(48,24,12)s(32,40,20)t(32,48,12)-++
c(40,24,20)s(40,40,28)s(32,32,28)*s(40,32,12)--
s(40,32,28)t(32,32,20)-t(40,24,12)-s(40,24,28)*
c(24,24,20)c(40,32,20)+s(48,40,12)-s(16,16,20)*
s(24,40,28)s(16,32,20)s(32,32,28)t(32,40,12)-*-
s(16,40,20)s(16,32,20)*c(24,24,20)t(40,56,12)+*
c(40,24,20)s(32,24,20)s(24,24,28)s(24,48,20)-*-
s(24,32,28)t(40,32,12)-s(32,32,20)*c(40,32,20)*
s(32,40,28)t(16,40,12)-s(40,40,12)s(8,8,12)+-
t(32,32,28)t(40,40,20)*s(24,32,20)c(40,24,20)*+
c(40,24,20)s(32,24,28)s(16,24,20)-*s(40,48,20)+
s(24,32,28)c(32,24,20)c(32,32,20)**t(24,40,20)-
t(48,48,12)c(40,24,20)t(24,32,28)*+s(40,24,28)*
c(24,40,20)c(32,32,20)c(40,32,20)s(40,40,20)***
s(32,32,20)s(40,32,28)t(24,24,12)-*s(40,40,20)*
s(24,24,20)t(16,16,12)-s(24,40,28)s(16,48,20)+*
s(48,32,20)c(32,40,20)s(48,32,20)*c(32,16,12)+*
t(24,24,20)c(32,24,20)t(32,40,12)-s(40,32,12)-*
c(40,32,20)s(16,24,20)-c(32,40,20)s(40,24,28)**
t(32,48,20)s(32,40,28)c(40,24,20)*+s(40,48,12)-
s(32,32,28)t(24,40,28)s(16,24,12)-*s(32,32,20)*
s(16,48,12)s(32,24,20)+t(32,32,28)*t(24,32,28)*
c(40,24,20)c(24,40,20)s(32,40,20)*s(48,48,20)--
c(24,32,20)c(24,32,12)t(24,48,28)+s(32,48,12)-*
t(40,24,20)s(32,24,28)s(16,24,20)*-t(32,16,12)-
s(24,24,28)s(16,32,20)*s(24,32,20)*s(16,24,20)*
s(24,40,28)c(32,32,28)t(24,48,28)*-c(32,40,12)-
t(40,56,12)c(32,32,20)s(24,32,20)s(16,32,20)**+
c(32,32,28)s(24,40,28)*t(32,32,28)*t(16,40,12)-
s(8,48,12)s(24,40,20)+t(24,24,20)t(40,32,20)--
c(40,48,12)s(16,40,20)+s(32,32,28)t(32,48,20)-*
s(40,32,20)t(24,48,28)-c(40,40,12)-t(32,56,12)+
c(32,32,20)c(40,32,20)c(40,24,20)*t(32,48,28)-*
s(48,16,20)t(32,32,20)-c(32,24,20)s(40,48,20)+-
t(24,48,28)s(24,24,12)+s(24,40,28)*s(24,48,12)-
c(24,32,20)s(24,40,20)*t(32,32,28)*t(24,32,20)+
s(40,32,28)s(32,16,20)s(24,32,20)+t(32,16,12)-*
s(24,48,20)t(24,48,28)s(24,40,28)s(24,40,20)--*
s(16,24,20)c(48,24,12)+s(32,32,28)*s(16,32,20)*
s(40,24,28)s(32,40,20)c(16,48,12)-+s(40,40,28)*
s(24,40,28)s(32,24,28)*s(48,40,12)+c(24,24,20)*
c(32,32,28)t(24,40,28)s(32,32,20)s(16,24,12)-*-
c(32,24,20)t(24,48,28)s(16,48,20)*-s(32,40,28)*
s(40,24,28)s(24,40,28)t(24,40,12)-t(24,56,12)-*
t(32,40,20)s(48,40,20)s(40,32,20)*+t(24,48,20)-
s(16,40,12)t(32,40,28)s(24,32,28)s(32,32,12)--+
s(40,40,28)c(32,48,12)-c(40,48,12)s(24,24,20)+*
t(40,56,12)c(32,40,20)c(16,32,12)-s(48,40,20)*+
s(32,40,28)s(32,32,28)c(40,32,20)**t(32,48,28)*
s(48,24,20)s(32,40,28)c(16,24,12)-s(24,48,12)-+
c(24,24,20)s(16,16,20)s(16,32,20)s(24,24,12)---
s(32,16,20)c(32,32,20)t(24,48,20)+t(24,40,20)-*
s(24,40,20)s(32,32,20)s(24,40,28)*s(16,40,20)-+
c(24,32,20)c(24,40,20)s(32,16,20)-t(32,40,12)-*
s(32,32,20)t(40,24,20)s(40,48,20)c(40,32,12)-+*
c(32,24,20)s(32,32,28)+s(16,40,20)-s(48,24,20)-
c(32,32,20)s(32,40,12)-c(32,24,20)*c(16,32,12)-
t(32,32,28)s(8,16,12)+t(16,40,12)-c(40,32,20)*
s(24,48,20)t(24,48,12)-c(40,48,12)-s(16,16,12)+
t(32,40,28)s(32,32,28)s(40,32,28)*c(32,40,20)**
c(40,32,20)s(40,24,28)+s(48,24,12)-c(16,48,12)+
t(24,48,20)t(32,40,28)*s(24,32,12)+s(32,16,20)-
s(24,16,20)s(16,40,20)t(24,32,28)*s(32,16,20)+*
c(40,24,20)s(40,24,20)t(32,32,28)*c(16,48,12)+*
s(40,40,28)t(24,32,28)s(40,40,28)*c(24,32,12)+-
t(24,32,28)s(24,24,28)s(32,40,28)**c(40,40,12)-
c(48,24,12)t(24,32,28)+c(32,24,20)t(32,32,28)**
t(32,48,28)s(40,32,28)t(32,24,20)-*s(40,40,12)+
c(40,24,20)s(40,40,20)-t(32,24,12)-s(40,32,28)*
c(32,16,12)s(48,24,20)+s(16,16,20)-s(32,8,12)-
c(24,32,20)s(48,32,12)+s(40,40,28)c(24,40,20)*-
c(48,16,12)t(32,40,28)c(40,24,20)*+s(16,40,20)-
c(32,32,28)s(48,24,20)*s(40,24,20)*s(8,40,12)+
s(16,24,20)s(32,32,20)s(24,32,20)+t(32,48,20)--
s(40,32,20)c(32,16,12)t(40,40,20)+s(32,40,28)**
s(32,24,28)s(24,16,20)*t(40,24,20)s(48,8,12)--
s(24,16,20)s(16,16,20)*c(40,40,12)+s(32,40,28)*
s(40,40,28)s(24,40,28)t(24,48,28)**t(16,40,12)+
c(32,32,20)s(24,40,28)*s(24,40,12)-c(40,32,20)*
t(24,40,20)c(24,48,12)s(32,24,28)t(24,40,28)*+*
s(16,32,20)c(32,40,20)s(40,32,20)*-t(24,16,12)-
t(24,32,28)s(32,32,20)t(32,24,20)s(24,40,28)+**
s(32,40,28)s(40,32,20)*t(24,32,12)+s(24,40,20)*
c(32,40,20)s(48,40,20)+s(16,48,20)-s(40,24,20)*
s(32,40,28)s(32,16,20)-s(32,40,20)t(24,32,28)**
t(40,24,20)c(16,40,12)+s(40,24,20)s(40,32,20)**
t(24,48,28)s(32,32,20)t(32,40,20)s(32,32,20)*--
c(32,32,20)c(48,40,12)-s(32,24,12)-s(24,16,20)-
s(32,16,20)s(40,24,20)s(40,40,20)--s(40,40,20)-
s(48,48,20)t(40,40,20)s(32,16,20)--t(32,16,12)+
s(32,40,28)c(24,24,20)s(24,40,28)+s(24,24,20)-*
s(24,24,28)c(24,32,20)*c(32,16,12)-t(32,40,20)-
s(24,24,28)s(16,32,20)*t(32,16,12)+s(16,24,20)*
s(40,16,20)s(40,24,28)s(40,32,20)t(32,40,28)**-
s(32,32,28)s(24,40,28)s(32,24,28)-c(24,32,20)++
s(40,32,28)s(24,24,20)-c(40,32,20)*c(40,48,12)-
c(32,40,20)c(24,24,20)c(32,24,20)*s(32,40,28)**
c(40,32,20)s(24,40,28)s(8,32,12)-s(24,48,20)*-
s(32,40,20)s(32,32,28)s(16,24,20)-*c(24,32,12)+
s(32,16,20)c(32,24,20)*t(32,40,20)c(16,40,12)+-
c(24,32,20)s(32,40,12)-s(24,24,20)s(16,24,20)**
c(40,24,20)s(24,24,20)c(32,32,20)s(16,48,12)+*+
s(32,32,28)s(16,24,20)+t(32,40,28)s(32,48,20)**
s(32,24,28)t(24,32,28)*t(32,32,28)*c(40,24,20)*
s(16,40,20)t(48,32,12)+c(24,24,20)c(32,32,20)*-
s(24,32,28)c(24,24,20)s(40,32,28)*-c(32,24,20)-
c(32,24,20)t(32,40,28)c(24,32,20)*-s(24,24,28)*
s(48,40,12)s(24,40,28)c(32,32,20)c(24,48,12)-*+
c(40,16,12)t(32,48,28)s(32,48,20)s(40,8,12)+*+
s(16,40,20)c(40,32,20)s(40,24,28)s(32,24,28)**-
s(40,32,28)t(24,48,28)s(40,32,28)s(32,40,28)*+-
t(16,48,12)s(32,16,20)+s(24,32,28)c(24,24,20)+*
s(24,40,28)s(24,24,28)c(16,40,12)-c(48,24,12)+*
c(24,40,20)t(24,24,12)s(24,40,28)s(32,24,20)*+*
c(24,24,20)c(32,40,20)s(48,32,20)*-t(24,32,20)*
s(24,40,28)c(24,32,20)c(40,32,12)-*s(32,32,28)*
s(40,24,28)s(32,32,28)c(24,40,20)*s(32,32,20)*-
c(32,32,20)s(32,48,20)*c(32,16,12)+t(32,40,28)*
s(40,32,20)s(24,24,28)*s(48,32,20)c(32,24,20)-+
t(24,56,12)s(48,48,20)+s(32,48,20)*s(48,48,20)*
c(40,40,20)t(32,40,28)*c(32,32,20)t(48,16,12)+*
s(48,16,20)t(24,40,12)+t(32,40,28)s(16,40,12)--
s(16,40,20)c(40,48,12)c(16,24,12)+-s(40,32,28)+
s(16,32,12)s(8,8,12)s(40,24,20)+s(24,24,28)*+
s(24,32,28)s(24,48,20)s(24,48,12)--s(8,40,12)+
s(32,24,20)s(48,8,12)c(40,24,20)+*t(48,16,12)-
s(32,48,20)t(24,40,28)t(24,24,12)-*c(40,40,20)*
s(40,32,20)s(32,24,28)*s(40,40,20)t(32,32,12)-+
c(40,24,12)t(32,32,12)+s(16,32,20)s(8,32,12)--
t(24,48,28)s(40,16,20)c(32,48,12)++c(40,40,20)*
t(40,24,20)t(32,48,28)t(16,56,12)t(48,24,12)+--
t(32,48,28)c(24,40,20)+s(32,24,28)s(32,40,20)*-
s(32,24,28)t(16,40,12)s(16,24,20)+*s(24,16,20)*
s(24,32,28)t(40,24,12)-s(32,40,12)-c(40,24,20)-
s(32,24,28)t(32,48,28)-c(32,24,20)s(24,24,28)**
c(32,24,20)c(32,32,20)s(40,40,12)-c(40,24,20)*-
s(32,40,20)s(16,40,12)-t(32,32,28)*s(32,24,28)*
s(16,16,12)t(24,40,12)t(24,24,20)+s(8,32,12)-+
t(32,48,28)s(40,48,12)-t(40,40,12)+t(32,40,20)*
t(24,48,28)s(24,32,20)c(24,40,20)*s(32,24,12)+-
c(24,32,20)t(32,24,20)s(48,16,20)c(40,32,12)--*
t(24,48,28)t(24,48,28)t(24,40,28)*s(40,48,20)+*
c(24,32,12)t(40,40,12)+t(32,32,28)s(24,48,12)-*
t(32,40,20)c(40,32,12)+s(32,40,12)s(24,16,20)+*
c(40,24,20)c(40,40,20)s(16,40,20)--c(32,24,20)*
s(24,40,28)c(40,32,20)-s(24,40,20)c(40,40,12)-*
c(32,32,28)c(32,40,12)-s(40,40,28)-s(16,48,12)+
t(24,40,28)c(32,24,12)-s(40,24,28)s(24,32,20)*-
c(40,40,20)s(48,48,20)*s(32,24,28)-t(24,40,20)+
s(16,32,20)t(24,40,28)t(32,32,28)c(32,40,20)**-
c(32,40,20)s(24,40,20)s(40,24,28)s(40,40,28)-+*
c(32,32,20)s(32,24,28)t(48,32,12)-s(16,32,20)**
t(24,48,28)s(40,48,12)+t(32,56,12)-t(16,48,12)-
t(32,40,28)t(32,48,12)-s(24,48,20)s(32,24,28)--
s(24,32,20)s(24,24,20)*s(32,16,20)t(32,32,28)-+
t(40,40,20)c(32,24,20)s(32,24,28)c(16,32,12)-*+
s(48,16,20)c(24,24,20)-t(48,48,12)s(48,24,20)+*
t(40,48,20)s(40,40,28)s(40,24,28)-t(24,48,20)+*
s(40,24,28)t(32,32,28)*c(32,32,20)c(40,32,20)**
s(32,24,28)c(24,40,20)s(24,40,28)s(32,40,28)***
s(16,32,20)t(24,48,28)t(16,56,12)-+s(32,40,20)-
s(32,40,28)s(48,40,12)-c(32,24,20)s(24,48,20)--
c(40,24,20)c(32,24,20)s(32,16,20)*c(24,32,20)*-
s(16,24,12)s(32,16,20)c(24,24,20)c(40,32,20)+*+
t(24,40,28)s(40,40,20)*t(32,32,28)s(24,48,12)-+
t(32,32,20)s(40,8,12)+s(32,24,20)t(40,40,12)+*
s(16,40,20)t(32,24,20)-s(40,32,28)s(24,32,20)*+
s(40,40,20)c(24,40,12)+t(32,48,28)*c(24,40,20)*
c(32,32,28)c(32,40,20)s(40,48,12)-c(24,32,12)--
s(48,40,20)s(40,32,28)*s(40,24,28)s(24,32,28)*-
t(24,40,28)t(24,32,28)*c(32,32,28)s(24,16,20)*-
t(32,48,28)c(32,32,20)c(40,24,20)s(40,48,12)+*-
s(32,24,28)s(48,24,20)t(32,40,12)+*t(48,24,12)-
s(32,32,20)s(48,24,20)s(48,40,12)+s(40,24,28)*+
s(32,24,20)t(40,48,20)t(32,24,20)+c(32,40,12)-*
s(24,40,28)t(32,40,28)t(40,48,20)*-t(24,56,12)-
s(32,24,20)c(24,40,20)t(32,40,28)*-s(40,24,28)*
s(24,48,20)t(24,40,12)-s(24,40,28)s(16,32,20)*-
s(24,8,12)c(32,24,20)s(40,40,28)*+c(24,32,12)-
s(32,16,12)s(24,48,20)+s(16,40,12)-s(24,48,20)*
c(24,32,20)t(32,32,28)s(24,32,28)s(24,24,28)**-
s(40,24,20)c(48,16,12)s(32,24,12)+*c(24,40,20)-
s(40,32,28)c(32,24,20)*s(24,24,28)t(32,32,28)**
s(16,32,12)c(32,40,20)c(24,40,20)*+t(32,32,12)-
c(32,40,20)s(32,40,20)c(24,16,12)+c(32,40,12)-*
c(40,24,20)t(40,32,12)-c(24,24,20)s(32,32,28)**
s(40,24,28)c(32,32,20)t(24,32,28)c(32,24,20)*-+
t(24,48,20)t(32,40,20)+t(32,24,20)-s(16,48,12)+
s(40,16,12)t(16,16,12)+t(48,24,12)-s(48,16,20)+
s(8,24,12)t(32,32,20)+s(32,40,28)c(40,48,12)-*
t(32,48,20)s(16,48,12)s(40,24,20)+s(40,24,12)--
s(32,40,28)s(32,48,20)c(16,48,12)-s(24,40,12)-*
s(24,24,20)s(32,24,20)*c(16,16,12)+s(24,32,28)*
s(24,32,28)s(32,32,20)s(8,24,12)s(40,40,20)+**
s(40,32,20)c(32,32,28)s(48,40,12)-c(16,40,12)-*
s(48,16,20)s(24,40,28)s(40,40,28)*c(32,24,20)*-
s(40,40,20)s(32,32,20)s(40,24,20)c(32,24,12)---
s(24,40,28)c(24,32,20)s(48,8,12)+*c(40,40,20)*
t(32,48,28)s(16,48,20)s(32,32,28)+*s(32,32,28)*
c(24,16,12)t(24,24,20)s(40,40,20)-+t(32,24,12)-
c(16,16,12)t(40,40,20)+c(48,32,12)-s(24,40,28)*
s(24,40,28)t(32,48,20)-t(24,40,28)s(48,48,20)--
c(32,40,20)s(32,32,28)*s(48,32,12)-t(32,32,20)*
s(40,24,20)s(32,40,20)s(32,48,12)-+t(48,24,12)-
s(32,40,28)s(40,24,20)*t(24,32,12)s(16,32,12)+-
c(16,16,12)s(48,32,20)s(24,32,20)c(40,24,20)*++
t(24,32,28)s(32,40,28)t(32,24,12)-t(24,48,12)-*
t(32,48,28)t(24,48,28)s(24,32,20)*+s(24,32,20)-
c(24,32,12)s(16,48,12)+s(16,40,20)*s(16,24,12)-
c(40,40,20)t(48,24,12)-t(40,40,12)-t(32,32,28)*
s(40,40,28)s(40,32,28)*t(24,48,28)s(24,40,28)**
t(16,24,12)s(48,40,20)t(32,32,20)-s(40,48,12)-+
s(16,16,20)s(32,40,28)s(32,24,28)*s(32,24,20)*-
c(40,24,20)t(24,48,20)s(24,40,20)+s(32,40,20)*+
c(32,40,20)s(40,16,12)t(24,32,28)t(32,24,12)-+*
c(48,24,12)s(40,24,20)s(32,40,12)-s(48,40,20)-+
c(32,24,12)s(24,24,28)t(48,24,12)t(32,40,28)+*+
t(24,40,20)t(24,48,20)c(32,24,20)-+s(24,40,20)*
c(32,40,20)t(24,32,28)s(32,48,12)-s(32,24,28)**
t(24,32,28)t(24,40,28)*s(32,48,12)+s(40,40,20)*
c(32,48,12)t(16,32,12)t(16,48,12)++s(24,32,20)-
s(16,32,20)c(32,32,28)*s(16,16,12)s(40,40,28)++
s(24,40,28)c(32,24,20)+c(40,40,20)s(40,32,20)*-
s(40,32,28)c(32,32,20)s(32,40,28)**s(32,24,20)-
t(32,48,28)s(40,40,20)t(24,40,12)s(8,40,12)+-*
s(32,40,28)c(48,16,12)s(24,40,28)+t(24,32,12)-*
s(40,48,20)c(40,32,20)s(16,32,12)+s(32,40,28)**
s(24,40,20)c(24,32,20)s(24,24,12)-c(24,32,12)--
s(32,32,28)s(40,24,12)t(32,40,28)+t(32,48,28)**
s(32,40,28)c(24,24,20)s(32,32,28)c(40,32,20)***
s(24,40,28)s(40,16,20)t(32,24,20)-s(16,24,20)+*
s(32,24,20)t(16,40,12)c(24,32,12)+-c(24,24,12)-
s(24,32,20)t(24,32,28)s(16,32,20)*s(40,48,20)-*
s(48,32,20)s(16,40,20)s(32,32,28)*s(48,16,20)+*
s(24,40,28)t(32,40,28)c(40,32,20)**t(32,48,28)*
s(8,24,12)s(40,24,12)s(24,40,12)+c(40,32,12)-+
s(32,32,20)s(24,24,20)c(24,24,20)t(32,32,12)-+*
s(24,32,28)c(24,24,20)*s(32,24,20)c(40,32,20)**
t(32,48,12)c(16,32,12)t(24,24,12)++c(16,48,12)-
t(32,48,28)c(32,40,20)s(24,24,12)+s(24,40,20)**
t(24,16,12)c(40,40,12)+s(32,40,28)s(40,16,12)+*
s(16,24,20)c(16,48,12)+t(24,24,20)s(32,24,20)*-
t(24,40,28)c(40,40,20)*c(32,32,20)*s(24,32,12)+
c(40,24,20)t(48,40,12)-c(32,24,20)t(40,32,20)*-
c(32,24,20)c(32,32,20)*t(32,40,28)*c(24,24,20)*
t(32,40,28)s(40,24,28)*s(16,40,12)s(32,24,20)+*
s(32,24,20)s(32,24,28)c(48,16,12)-*c(16,24,12)-
t(48,48,12)c(32,32,12)+c(48,40,12)-t(48,24,12)+
s(24,24,20)s(32,32,20)c(32,24,20)c(40,32,20)**-
t(32,32,28)s(40,40,28)s(40,40,12)-*t(16,40,12)+
t(32,32,28)c(48,40,12)+c(40,16,12)-t(32,32,20)*
s(32,24,28)s(24,32,28)*c(24,40,20)c(40,24,20)--
c(32,24,20)t(24,32,28)c(32,40,20)**t(40,24,12)-
s(32,40,28)s(24,40,28)*t(32,40,28)*s(24,32,20)*
s(16,40,20)s(24,32,28)c(24,24,20)-c(32,32,28)*-
s(40,24,20)c(32,24,12)-s(24,32,20)t(24,48,28)*+
c(32,32,28)s(40,16,20)c(16,16,12)+-s(48,32,20)*
s(24,32,28)s(32,24,20)s(32,16,12)c(32,40,12)+**
c(40,32,20)c(32,24,20)s(24,48,12)+*t(40,32,20)*
t(48,56,12)c(32,40,20)+s(32,32,28)*t(48,48,12)-
c(24,24,20)s(32,32,20)c(16,16,12)-c(40,24,20)*+
t(24,32,28)c(32,32,20)c(24,32,20)+s(40,24,28)**
s(32,24,28)s(40,24,12)-s(16,16,12)-s(32,16,20)+
t(24,40,28)c(24,32,20)s(40,40,28)s(40,32,28)***
c(24,32,12)t(32,32,28)t(40,32,20)*t(24,48,20)-+
c(24,24,20)s(48,40,20)+s(16,16,12)s(48,24,20)+*
s(24,32,28)c(24,48,12)-s(16,32,12)-s(24,24,20)*
c(24,48,12)s(16,16,20)+s(16,24,20)t(32,32,28)-*
s(32,40,20)t(32,24,12)-s(24,24,28)s(40,40,28)*-
s(32,24,28)s(24,8,12)-s(32,32,20)s(32,16,20)*-
s(48,8,12)c(32,24,12)+c(32,24,20)s(40,32,28)**
t(32,32,28)c(24,40,20)*s(40,32,28)*s(40,32,20)*
t(32,40,28)s(32,16,20)-s(24,32,28)c(40,32,12)-*
c(40,40,20)s(32,32,20)+s(40,48,20)*t(40,40,20)*
s(32,40,20)t(32,48,28)*c(32,32,20)s(48,24,12)-*
s(32,40,20)s(24,32,28)s(40,40,28)**c(48,32,12)+
s(48,32,20)t(24,40,12)+c(32,32,20)*c(24,40,20)*
c(40,32,20)s(24,32,28)*c(40,24,20)*c(24,32,20)*
t(32,32,20)s(24,24,28)c(16,32,12)s(8,32,12)+*+
s(32,40,28)s(40,24,20)s(32,32,28)*+s(32,40,12)-
c(40,32,20)s(32,40,20)c(16,48,12)-s(32,32,20)*-
s(16,40,20)c(32,40,20)t(40,48,12)-+s(16,16,20)-
s(32,32,28)s(24,40,28)*c(40,40,20)+s(48,24,20)*
c(32,32,20)s(40,32,28)s(24,32,20)*-t(32,16,12)-
s(40,24,28)c(32,32,12)-s(40,40,28)*s(32,16,20)-
s(40,40,28)c(32,40,20)t(24,32,20)*c(40,24,12)+*
s(24,40,28)c(32,24,20)s(24,24,12)s(48,32,20)+**
t(40,32,20)t(32,32,28)s(8,32,12)t(24,48,28)+*-
t(24,24,20)t(24,40,28)+s(24,32,28)*c(24,40,20)*
c(24,40,20)c(32,40,20)*s(32,24,28)s(16,24,12)-*
s(40,40,28)c(32,32,28)t(24,48,20)-*c(32,32,20)*
t(32,32,28)t(24,24,12)-s(48,24,12)+s(32,24,12)-
s(24,40,20)s(32,16,12)+t(24,40,28)*s(32,32,28)*
s(40,40,20)s(24,40,20)t(48,48,12)+t(40,24,20)-*
s(40,24,28)t(40,32,12)t(16,48,12)+-s(40,8,12)-
c(32,40,20)s(24,48,20)*s(40,32,28)s(48,40,20)*-
c(16,48,12)c(40,40,12)+c(40,40,20)*c(40,16,12)+
c(32,32,28)s(48,24,20)c(40,40,20)s(24,40,12)-*-
s(40,40,28)t(32,32,28)s(48,48,12)-s(16,40,20)-*
c(32,24,20)c(48,16,12)s(48,40,20)+s(40,48,12)-*
c(32,40,12)c(24,32,20)s(48,40,20)-t(24,32,28)*+
c(32,32,20)s(32,24,12)-c(40,24,20)c(24,24,12)--
s(24,24,28)s(40,24,28)c(40,32,20)*s(40,24,20)**
s(32,24,28)s(48,24,20)t(16,16,12)+s(40,16,20)**
s(32,40,20)s(48,24,20)s(24,32,28)+*c(24,24,20)*
t(24,40,12)c(32,24,12)+s(24,24,28)t(24,24,12)-*
s(40,40,28)c(32,24,20)c(32,32,20)*s(40,32,20)**
c(32,24,20)t(32,48,28)-t(32,32,28)s(40,24,28)**
s(32,24,20)s(32,32,28)s(16,16,12)-*s(24,48,20)-
s(32,40,20)s(32,24,20)s(40,16,20)s(24,32,20)+*-
c(24,24,20)t(24,40,20)s(32,32,12)-+s(16,24,12)-
c(32,32,28)s(24,40,20)c(32,24,12)--t(32,40,28)-
t(40,16,12)s(32,40,28)s(16,40,12)-s(24,32,20)-+
c(48,24,12)c(32,24,20)s(40,24,12)-+s(32,24,28)*
c(40,32,20)s(32,40,20)s(40,32,28)*t(32,40,12)--
c(24,32,20)s(32,40,28)t(40,40,20)-*s(32,32,20)*
c(48,40,12)t(32,16,12)+s(16,24,20)-t(40,16,12)-
c(40,40,20)s(32,32,28)c(32,24,20)+c(24,24,12)-*
t(48,24,12)c(40,24,20)s(24,40,28)*+c(48,32,12)-
t(24,48,28)s(32,32,20)c(40,32,20)*-c(16,16,12)+
s(48,48,20)c(32,40,20)t(24,40,28)s(40,24,28)*--
t(40,40,20)t(24,56,12)t(32,24,20)+t(24,48,20)-+
t(32,32,28)t(16,40,12)-s(24,40,28)*t(32,40,28)*
s(32,32,20)s(24,24,20)c(32,32,20)c(32,24,20)***
s(32,40,28)s(32,32,28)*t(32,48,28)t(48,48,12)+*
s(32,40,20)s(24,16,20)-s(24,40,20)*t(32,24,20)-
s(48,16,20)c(32,32,20)s(32,24,28)*c(40,24,20)*-
s(24,40,28)s(32,32,28)s(40,32,28)*s(32,40,20)**
s(32,48,20)s(24,24,28)s(32,32,20)c(32,40,20)**-
s(32,32,20)c(32,24,20)s(40,24,20)*t(32,32,28)*-
s(24,40,28)c(24,24,20)*t(32,24,20)s(32,16,20)*-
c(32,32,20)s(24,24,28)s(32,16,20)+c(32,32,28)**
s(32,32,20)s(40,40,28)*s(24,40,20)s(48,24,20)+*
s(8,48,12)s(32,32,20)+s(48,40,20)+s(32,40,28)*
t(32,32,28)s(40,24,20)*c(32,32,28)s(24,24,28)**
c(40,40,20)s(40,24,20)s(24,40,28)s(24,24,20)*-+
s(40,40,28)s(32,32,28)*s(40,32,12)-c(40,24,12)-
s(32,32,12)c(32,48,12)+s(24,16,12)+t(24,48,28)*
s(16,16,20)t(32,32,12)t(32,24,12)s(8,24,12)+++
t(40,32,20)s(24,16,20)s(16,40,20)t(16,40,12)---
t(24,32,28)c(32,32,20)*s(24,24,12)-s(16,8,12)+
c(24,24,20)s(40,32,28)*s(16,8,12)s(16,48,20)+-
s(32,24,28)s(16,32,20)s(24,24,28)c(40,16,12)-**
s(24,40,28)t(24,32,20)-s(24,32,20)s(24,40,20)*-
t(40,48,12)c(24,24,20)+t(40,24,12)-s(16,24,12)-
c(32,40,20)t(24,32,28)*t(24,24,20)t(24,32,12)--
s(32,40,28)t(16,40,12)-t(24,48,12)-c(48,40,12)-
s(40,24,20)s(16,8,12)s(16,32,12)++t(32,32,28)*
s(16,32,20)s(24,24,20)-s(32,48,20)+t(24,40,20)-
c(40,24,20)s(32,16,20)s(40,16,20)**s(24,24,28)*
t(32,32,28)c(32,32,20)c(24,32,20)*s(16,32,20)*-
s(32,24,28)c(16,40,12)-s(40,24,28)s(40,40,28)*-
s(24,24,20)s(32,24,20)c(40,24,20)*c(32,40,20)*-
s(24,40,12)t(40,24,20)+t(32,32,28)t(32,32,12)-*
c(48,40,12)s(32,32,20)s(40,32,28)s(24,24,28)**+
s(40,16,20)c(32,16,12)-s(40,32,28)+s(32,16,12)-
s(24,40,20)s(32,24,28)c(32,24,20)s(40,40,28)--*
s(32,40,28)s(40,16,20)s(40,32,28)*-s(16,48,20)*
c(32,40,20)c(48,32,12)c(24,40,20)s(40,48,20)*+*
s(32,32,20)s(40,48,20)s(16,48,12)+s(32,32,28)*-
s(16,40,12)t(32,32,28)s(32,24,28)*+s(24,24,20)*
s(32,48,20)t(32,40,28)*t(32,16,12)+c(40,40,20)*
s(40,24,28)c(32,16,12)-s(40,40,20)t(32,24,12)-*
c(24,24,20)s(32,24,20)s(32,40,12)-*t(32,48,28)+
s(32,40,28)c(24,48,12)-s(40,24,28)*s(40,16,20)+
s(24,24,28)t(32,48,20)c(48,48,12)-s(48,16,20)+-
c(24,32,20)t(24,40,28)*t(24,40,28)s(32,16,20)-*
s(40,16,20)s(40,8,12)s(16,16,20)+*s(48,48,12)+
s(32,32,28)s(24,48,12)-s(24,24,20)s(16,8,12)-*
s(24,24,28)s(48,48,12)c(24,32,20)+*t(32,40,28)*
s(24,32,28)s(40,48,20)c(40,40,20)*-s(8,24,12)-
c(32,40,20)t(32,48,28)*s(16,32,20)+c(24,40,20)*
s(40,32,28)c(16,40,12)t(40,24,20)+t(24,40,28)-*
c(32,40,20)s(40,40,28)s(48,40,12)-*c(40,40,20)*
c(16,48,12)c(40,32,12)+t(40,32,20)*s(16,40,12)+
s(24,32,28)s(48,40,20)-s(48,24,12)s(24,16,20)+*
c(32,32,20)t(48,32,12)-s(40,24,28)*c(48,32,12)-
s(24,32,28)s(24,40,28)s(32,40,28)t(32,24,12)-**
t(24,32,28)t(40,48,20)+s(48,40,12)-c(24,32,12)-
t(24,24,12)s(40,8,12)+s(32,24,20)s(32,40,20)*-
s(32,40,28)c(24,24,20)s(40,40,28)*t(32,40,28)*-
s(24,24,28)t(32,40,28)*s(24,16,12)+s(40,40,28)*
c(32,32,20)c(32,40,20)*s(24,24,12)+t(32,32,28)*
t(24,32,28)s(32,24,28)s(32,32,28)**s(24,24,20)*
c(24,24,20)t(32,32,12)-c(32,32,20)c(24,32,20)**
s(48,32,20)c(32,24,20)c(40,24,20)*c(16,32,12)+*
s(48,24,20)s(32,40,28)s(32,32,20)--s(40,24,28)*
s(24,24,28)s(32,40,28)s(48,40,12)--s(32,16,20)*
c(48,16,12)t(24,48,20)s(40,24,28)-+t(24,48,12)-
s(32,32,28)c(40,40,20)c(40,32,20)**s(32,48,20)*
s(24,32,28)c(24,24,20)c(40,40,20)s(32,32,20)*-*
s(24,16,20)c(48,32,12)t(24,24,12)s(16,40,20)++-
c(24,40,20)s(40,40,28)s(32,16,20)-*t(24,48,28)*
s(16,24,20)c(32,32,20)c(24,32,20)*s(16,32,20)*-
c(24,40,20)s(48,40,20)-c(32,32,20)s(16,40,12)--
s(8,24,12)s(32,48,20)s(24,24,20)-+c(24,40,20)*
c(40,32,20)s(32,40,28)*t(32,48,20)c(40,40,20)*-
t(24,24,20)c(24,40,12)-t(40,24,12)-t(16,40,12)+
s(24,32,12)s(40,24,20)+t(32,24,20)s(32,40,28)*-
s(16,16,20)s(16,32,20)c(40,48,12)+s(16,24,20)*-
s(24,40,20)t(32,40,12)-t(24,40,28)t(40,48,12)-*
s(40,32,28)c(40,40,20)*s(16,40,20)s(40,40,28)-+
t(40,24,20)t(24,40,28)+s(24,32,28)*t(40,16,12)-
s(32,32,28)t(32,24,20)-c(32,32,20)s(16,48,20)-*
c(24,32,20)t(48,40,12)+s(40,48,20)*s(48,48,12)+
c(40,32,20)s(32,40,28)s(40,16,12)s(16,24,20)+-*
c(32,16,12)s(40,48,20)s(32,40,28)c(16,48,12)-*+
t(40,32,20)s(24,48,20)+c(24,40,20)*s(24,40,12)-
t(32,48,28)c(32,40,20)s(48,48,20)*-t(32,48,20)-
c(24,24,20)s(24,32,28)s(48,24,20)s(40,24,20)*-*
s(24,32,28)c(24,40,20)*s(24,48,20)s(24,40,20)**
s(48,32,20)s(40,32,20)s(40,40,20)**s(40,24,20)+
s(32,24,20)s(24,40,28)s(16,48,12)s(8,24,12)+-*
s(24,24,28)s(24,24,20)-s(8,40,12)-s(24,48,12)-
s(24,40,28)s(32,48,20)*s(40,48,20)*t(24,56,12)-
s(16,24,20)c(32,16,12)+c(40,24,20)c(48,32,12)-*
s(32,16,20)s(8,16,12)t(40,24,20)+c(24,24,20)+*
t(24,40,20)t(32,40,28)*s(40,16,20)+s(32,24,28)*
s(40,40,28)t(40,48,20)c(40,24,20)t(24,40,20)---
s(40,32,28)s(40,24,28)s(24,48,20)-t(24,24,20)-*
s(40,24,20)s(32,48,12)+s(48,8,12)-s(32,40,28)*
c(32,32,28)s(40,32,20)s(32,24,20)t(24,32,20)-+-
s(32,32,28)c(24,40,20)*t(24,48,20)s(24,24,12)+*
s(24,32,28)s(32,40,20)t(24,48,28)t(24,40,28)***
s(24,24,20)s(16,24,20)c(24,16,12)--s(40,40,20)-
t(16,32,12)s(48,40,20)+s(24,40,20)t(32,40,28)+*
t(32,40,28)s(32,32,28)t(24,40,28)-c(32,24,20)+*
s(32,40,28)t(32,32,12)t(24,32,28)s(24,16,20)*+-
c(40,32,20)s(40,24,28)*s(24,32,28)*c(24,32,20)*
t(40,32,20)s(16,24,20)s(40,32,28)+t(24,24,20)-*
s(24,40,28)s(40,40,28)*t(24,48,20)+s(24,40,20)*
s(48,16,20)s(40,16,20)s(40,24,20)s(16,32,20)-**
t(32,32,12)s(24,48,12)t(40,24,20)t(48,32,12)-++
t(40,56,12)t(32,24,20)+t(24,48,28)t(32,32,28)*-
s(32,16,20)s(40,40,28)t(32,40,28)*-t(24,32,28)+
s(40,48,20)s(40,24,28)s(32,32,12)t(40,56,12)++*
s(48,48,20)c(24,32,20)t(24,48,28)*+s(32,32,20)-
s(32,40,28)s(40,40,28)+s(24,24,28)+s(16,40,20)*
c(40,24,20)c(32,40,12)s(24,32,12)+-t(32,16,12)-
s(32,32,20)t(32,24,12)-t(24,48,28)+s(40,40,28)-
t(24,40,28)s(48,32,20)-s(32,24,12)-s(16,32,12)-
s(48,24,12)c(24,40,20)+s(40,40,28)t(40,40,20)--
s(24,32,20)c(24,32,12)c(40,24,20)+*s(16,32,12)+
s(16,32,20)c(24,32,20)*c(24,40,20)*s(32,40,28)*
t(16,24,12)t(48,32,12)+s(24,32,28)s(16,16,20)*+
s(32,40,28)s(40,24,20)c(32,32,20)c(16,16,12)-**
t(48,40,12)t(24,32,28)s(32,40,28)t(32,48,28)**+
s(32,16,20)s(32,32,12)-c(32,32,28)c(40,48,12)-*
s(24,32,28)s(48,32,20)-s(16,24,20)*s(8,24,12)-
s(48,40,20)c(32,24,20)s(16,32,12)--s(40,32,28)*
s(24,40,28)s(16,16,20)-c(32,32,20)c(40,40,20)**
s(40,24,20)s(32,32,20)t(24,48,28)t(32,48,20)---
t(32,48,20)s(16,24,20)+t(32,48,28)+t(24,40,20)-
s(16,40,20)c(24,48,12)t(32,24,12)+-s(16,32,20)*
c(32,40,20)s(8,48,12)s(32,40,28)+t(24,40,28)-+
t(32,40,28)c(32,32,20)s(40,24,28)*s(32,32,20)**
t(24,32,28)s(40,32,28)s(48,48,20)*-s(48,48,20)+
s(48,40,20)s(40,40,28)c(48,32,12)-s(40,40,20)*-
s(32,32,28)s(40,32,28)s(32,40,28)c(24,24,20)*--
t(24,32,28)s(32,24,20)s(40,32,12)-s(16,32,12)+*
c(24,32,20)c(32,24,12)s(16,48,20)s(32,48,12)-+*
s(40,16,20)t(32,40,28)-s(24,16,20)t(32,16,12)--
c(40,32,20)c(32,40,20)c(24,40,20)s(24,48,20)**-
t(48,16,12)s(40,24,28)s(32,16,20)*+t(32,24,20)-
c(24,24,20)t(32,32,28)c(40,24,12)t(40,48,20)+-*
s(32,40,28)c(48,40,12)-t(40,48,20)-t(32,40,28)*
c(40,24,20)s(40,48,20)s(48,32,20)c(40,24,12)-+*
t(32,40,28)t(32,32,28)c(40,16,12)s(40,48,20)+**
c(32,24,20)c(32,40,20)t(32,48,28)s(48,40,20)--*
t(24,48,28)c(24,40,20)*s(40,40,28)*s(8,48,12)+
t(24,32,28)t(32,40,28)s(40,48,20)*s(48,24,20)--
c(40,40,20)s(48,24,12)-s(8,16,12)s(32,40,20)+*
c(40,32,20)c(40,40,20)s(32,24,28)t(24,32,28)*-*
c(32,16,12)s(40,40,28)t(24,48,12)-s(48,40,20)*+
c(32,24,12)s(24,24,20)s(40,32,12)-+s(40,24,28)*
s(24,40,28)c(40,32,20)c(32,40,20)*c(48,48,12)-*
t(24,48,28)t(32,48,12)t(48,16,12)+-t(40,48,20)+
c(32,40,20)c(40,24,20)c(32,16,12)-s(32,32,28)*-
s(32,32,28)s(16,8,12)t(24,32,20)s(32,40,28)*+*
s(16,24,20)c(32,48,12)+t(32,48,28)t(48,40,12)+*
s(16,32,12)s(8,48,12)+c(24,48,12)s(8,8,12)++
s(32,48,20)c(40,40,20)c(32,24,12)-c(32,32,20)-+
c(40,32,20)s(40,24,28)*s(32,32,28)*t(40,24,20)*
s(24,40,28)s(40,16,20)-s(16,16,12)c(24,32,12)+*
s(40,16,20)c(40,24,20)s(24,16,12)c(32,32,20)+*-
s(24,32,28)c(40,32,12)-t(24,24,20)s(8,24,12)+*
c(40,32,20)s(32,32,28)c(48,24,12)s(16,24,12)+*-
t(32,24,20)c(40,32,20)c(24,32,20)s(40,24,28)**+
s(32,48,20)t(40,40,20)+c(32,48,12)-c(16,40,12)+
c(40,24,20)t(24,40,20)-s(32,24,20)-s(24,24,12)+
s(24,24,20)s(24,8,12)-s(32,32,28)t(24,24,20)**
t(40,48,12)c(32,32,28)s(40,48,20)-+s(32,40,28)*
s(32,32,20)s(32,40,28)t(40,24,20)-*s(40,40,28)*
t(32,40,28)s(16,24,20)-c(24,24,20)t(48,40,12)+*
c(32,24,20)s(24,24,28)*c(40,32,20)s(24,40,28)*-
t(32,40,28)c(24,40,20)*s(32,40,20)*s(32,32,20)*
c(40,40,20)s(8,16,12)+s(32,48,20)c(40,40,12)--
s(40,24,28)s(48,8,12)-t(40,40,20)-s(40,16,20)*
s(24,40,20)t(24,40,28)s(8,40,12)-t(24,32,28)**
c(32,40,20)t(24,40,28)c(40,40,20)*c(16,32,12)--
c(40,32,20)s(24,48,12)+c(24,40,20)-s(40,48,12)-
s(40,32,28)s(24,48,20)s(32,40,28)*-s(40,24,28)*
s(32,40,28)s(40,32,28)+c(24,40,20)*s(32,24,12)-
s(32,32,20)t(32,48,28)c(32,40,20)s(24,32,28)***
c(32,32,20)c(24,48,12)+c(40,48,12)-t(24,48,28)*
t(32,40,28)t(32,40,20)t(24,40,12)--c(24,32,20)*
t(24,32,28)s(16,32,20)s(40,40,28)t(24,48,20)---
t(32,48,20)c(40,40,12)t(40,56,12)+t(24,40,20)+*
c(32,40,20)c(32,24,20)c(24,32,20)-+s(32,32,28)*
c(24,32,20)s(8,40,12)-s(40,24,20)c(40,40,20)*-
s(24,24,20)s(16,40,12)s(40,24,20)t(40,32,12)-+*
s(24,32,28)c(48,40,12)s(48,24,12)s(16,24,12)++-
s(24,32,28)s(40,16,20)c(32,40,20)c(32,24,20)-+*
s(40,40,20)s(32,40,28)s(24,24,28)*t(24,40,28)*-
s(40,16,20)c(40,32,20)*t(24,40,12)+s(40,16,12)-
s(40,24,28)c(24,32,20)*s(40,24,28)s(24,24,20)**
t(24,40,28)t(32,40,28)s(32,48,20)+*c(32,32,20)*
s(24,32,28)s(16,40,12)-s(48,16,20)-s(8,32,12)-
s(40,16,20)c(32,16,12)t(32,40,28)+s(32,24,28)**
t(48,16,12)c(32,32,20)+s(16,24,20)+c(32,32,20)-
s(40,40,20)s(40,32,20)s(48,40,20)-+c(24,40,20)*
c(24,24,20)s(40,32,12)-s(32,40,28)+s(16,40,20)-
s(40,48,20)s(32,40,20)*s(32,32,28)s(32,48,20)**
c(32,24,20)c(32,32,20)*c(24,40,20)*c(40,32,20)*
t(16,56,12)t(24,40,28)+t(32,32,20)+t(32,48,28)*
t(24,32,28)s(40,40,28)s(24,40,28)c(24,32,20)***
t(32,40,20)t(32,48,12)c(40,40,20)s(40,32,20)*+*
t(32,32,28)s(32,40,20)s(24,32,20)*-s(24,24,28)*
s(40,40,20)c(40,40,20)t(32,40,28)*s(16,48,12)+*
c(40,32,20)s(32,48,20)c(32,32,20)t(24,40,20)*+*
c(24,32,20)c(32,32,20)*s(16,32,20)*s(40,16,12)+
t(24,48,20)t(40,48,20)c(24,24,20)-+t(24,40,28)*
s(40,40,28)c(32,40,20)s(24,40,28)+c(40,40,20)*-
c(24,24,20)c(40,24,12)t(16,32,12)+s(48,32,12)-*
c(40,40,20)s(32,24,28)c(40,32,20)s(32,32,28)***
t(32,32,20)t(40,40,20)s(32,40,20)c(32,32,20)**+
s(40,40,20)s(24,32,28)s(32,40,20)s(48,32,12)-**
t(32,32,28)s(40,40,12)-s(32,32,28)s(32,24,28)**
s(24,32,20)s(24,32,28)s(24,24,28)*t(32,24,20)*-
s(40,24,28)t(32,32,28)s(16,32,12)-*s(40,24,20)*
t(24,32,28)t(32,32,28)s(40,32,28)**c(24,40,20)*
s(48,40,12)c(40,40,12)+s(32,40,28)t(24,48,12)-*
s(32,32,20)s(32,40,20)*s(24,40,20)s(40,40,28)**
s(40,16,20)t(40,48,12)+s(40,40,28)c(16,32,12)+*
s(32,32,28)s(48,40,12)-t(32,40,20)-c(24,24,20)*
s(32,40,20)t(24,48,28)*s(40,24,20)+s(32,32,20)*
s(16,40,20)s(32,40,28)s(40,24,20)+*t(24,40,20)*
s(16,16,20)t(24,32,28)t(32,32,28)*s(24,32,20)*-
t(32,40,20)s(40,16,20)+s(32,32,20)*c(40,24,20)+
s(24,48,20)s(16,32,20)s(16,40,20)s(24,24,12)-*+
c(24,40,20)c(32,32,20)s(32,16,20)c(32,32,28)*-*
s(32,32,20)c(32,32,20)s(32,24,28)**s(24,40,28)*
s(24,32,28)t(24,40,28)*s(24,16,12)-s(24,48,20)*
s(40,32,20)s(16,40,20)s(16,24,12)-c(24,48,12)-+
c(32,24,20)s(32,24,28)s(40,32,28)*s(24,24,20)-*
s(32,32,28)s(24,24,20)-c(48,48,12)-c(32,48,12)-
s(40,40,28)s(32,40,28)t(16,48,12)-t(24,48,28)**
c(48,16,12)s(32,16,20)c(16,16,12)-+s(24,24,28)*
c(32,24,20)c(40,24,20)c(40,32,20)*t(24,40,28)+*
s(40,40,20)s(24,48,20)s(32,24,20)-t(32,48,28)*-
s(8,8,12)c(40,40,12)+t(32,48,28)+t(24,48,20)*
s(16,32,20)s(16,24,20)*s(32,40,28)c(40,40,20)*-
s(40,48,20)c(24,40,20)s(32,32,28)*t(32,48,28)*-
s(40,24,20)c(40,40,20)c(32,24,20)*t(32,32,28)*-
s(40,32,28)s(48,24,20)t(24,40,20)+-s(24,16,20)+
s(48,40,20)c(48,32,12)-t(32,48,12)-t(24,48,20)+
c(40,32,20)s(32,32,20)t(24,32,28)t(24,16,12)-**
s(40,40,28)c(24,32,20)s(16,48,12)+s(24,16,20)*-
s(24,40,20)c(24,32,20)*s(32,32,20)s(32,32,12)--
s(8,32,12)t(24,40,28)c(16,24,12)-+t(32,48,28)-
s(32,32,20)s(40,32,20)t(32,24,12)-c(32,32,20)**
s(24,32,20)t(24,32,28)t(32,32,28)**c(32,16,12)-
t(48,56,12)s(48,24,20)+c(40,24,20)*c(32,24,20)*
s(16,32,20)t(32,48,28)s(40,40,20)s(24,40,28)**-
c(32,32,28)s(16,40,20)*c(24,40,20)t(24,56,12)-*
c(24,24,20)t(32,32,28)*c(24,40,20)s(24,32,28)**
s(32,40,28)s(32,16,20)+c(24,32,20)t(24,48,12)-*
c(32,40,20)s(40,48,12)s(48,40,12)+t(16,16,12)+*
s(32,16,20)t(16,40,12)+t(24,32,28)*s(32,48,20)-
s(16,40,20)s(16,16,20)c(32,24,12)-c(24,32,20)+*
t(24,40,28)c(40,48,12)-s(32,32,28)s(16,32,20)**
c(40,40,12)t(24,24,20)s(24,32,20)*+t(16,32,12)-
s(32,24,28)s(24,32,28)s(16,48,20)*-t(32,48,28)-
c(32,40,20)t(24,48,28)*c(32,32,12)+s(32,24,20)*
c(40,40,20)s(16,32,12)s(48,40,12)c(48,16,12)++*
s(40,40,20)c(32,24,20)t(40,48,12)+*c(40,32,20)*
s(32,40,28)s(32,24,28)*s(40,8,12)+s(32,40,28)*
t(32,40,28)s(16,40,20)*s(16,24,12)+t(40,48,20)+
s(32,40,20)s(32,40,28)c(32,32,20)*c(40,24,20)*-
s(32,40,28)t(24,32,12)-c(32,32,20)s(48,40,12)-*
s(24,32,28)c(16,48,12)-s(8,24,12)t(32,16,12)+*
s(40,32,28)s(8,48,12)s(32,40,28)t(24,48,12)-+*
s(40,24,28)c(32,40,20)c(32,16,12)+c(32,32,20)*-
t(32,32,28)s(32,40,28)*t(48,16,12)+c(24,32,20)*
t(24,40,12)s(16,32,20)c(24,24,20)c(32,24,20)*-+
s(32,32,28)t(24,48,20)-t(32,48,12)+c(24,16,12)-
s(40,48,12)c(16,16,12)+s(24,32,28)t(40,32,20)+*
t(32,32,28)t(24,40,20)t(32,40,28)*-s(24,24,28)*
c(40,24,20)s(32,32,20)*s(24,32,28)c(40,32,20)**
c(32,32,28)t(24,40,20)-c(40,40,20)s(48,40,20)**
c(24,32,12)t(40,48,12)+c(32,40,12)+s(32,32,12)-
s(24,40,28)c(16,48,12)c(40,40,20)+s(48,40,12)--
c(40,40,12)c(40,40,20)s(32,40,20)*s(48,40,20)*+
c(32,32,20)t(24,32,28)t(24,40,12)s(32,16,20)+*-
s(40,24,20)s(32,32,20)t(40,40,20)t(32,24,20)+**
c(40,40,20)t(40,32,20)s(32,40,20)t(24,40,20)*--
s(40,32,12)s(32,40,28)t(32,40,28)-+t(40,24,20)-
s(24,32,28)c(32,32,20)s(48,32,12)c(24,24,20)+**
c(40,24,20)s(40,32,28)*s(48,16,20)s(32,32,12)+*
s(16,40,20)s(24,16,20)-s(24,48,20)*s(8,32,12)-
s(40,16,20)t(24,32,28)s(8,48,12)-t(32,40,20)*+
s(32,40,28)s(24,40,28)*c(24,24,12)-s(32,32,20)*
c(40,40,20)c(48,16,12)+s(40,16,12)-t(24,16,12)+
s(32,32,28)t(32,32,12)-s(24,40,28)*t(24,24,12)-
s(24,40,28)c(32,32,20)*s(24,16,20)+s(40,40,12)-
s(24,24,20)c(16,16,12)-s(16,24,12)-c(16,32,12)+
s(40,32,20)c(32,24,20)s(32,32,28)*s(40,24,20)**
s(32,16,20)s(24,40,20)c(24,24,20)*t(24,32,20)*-
c(24,32,20)s(24,40,20)*s(8,32,12)-t(24,32,28)*
c(40,40,20)s(32,48,20)t(24,40,28)++s(48,24,20)*
s(40,32,28)c(24,24,20)*c(16,24,12)t(48,24,12)+-
c(40,40,20)c(40,40,20)c(24,32,20)t(24,32,28)**-
s(40,40,12)s(24,32,20)+c(24,24,12)s(48,32,12)+*
s(24,24,20)s(16,24,20)*t(48,48,12)+s(16,24,20)*
t(40,48,20)c(24,40,20)s(24,24,12)-+s(16,24,20)-
c(16,16,12)s(40,16,20)+s(32,32,28)*t(40,16,12)-
s(40,24,28)c(32,32,28)*c(40,40,20)s(32,32,28)**
s(32,48,20)s(32,40,28)s(32,24,20)c(24,16,12)-*-
s(16,40,20)s(32,40,20)c(40,32,20)c(40,40,20)**-
t(16,24,12)t(40,56,12)s(48,40,20)+s(48,48,20)*+
s(32,32,28)c(24,24,20)s(40,24,28)t(40,24,20)--*
t(24,40,28)c(24,40,20)*c(40,32,20)c(24,48,12)+*
s(24,40,20)t(32,32,20)-s(32,40,28)s(24,8,12)+*
c(24,24,20)s(32,24,28)c(40,24,20)**s(8,16,12)+
c(32,32,20)c(24,32,20)*c(24,24,20)t(40,24,12)-*
s(40,24,28)c(24,32,20)*c(32,32,28)t(40,40,20)-*
s(32,24,20)s(32,24,28)s(40,8,12)-c(24,24,20)**
c(32,40,12)t(32,24,12)+s(40,16,20)s(32,24,28)*-
s(32,48,20)t(40,32,20)t(24,48,28)--t(32,40,28)+
c(32,32,28)s(24,16,20)-t(40,24,20)-t(40,40,20)*
s(32,32,28)s(24,24,28)*s(32,16,12)s(32,48,20)+*
s(24,16,12)c(24,24,20)s(32,24,12)-+s(16,24,20)*
s(40,24,28)c(40,32,20)*t(24,40,12)-s(48,40,20)*
s(24,40,28)c(16,32,12)-s(16,32,20)s(24,24,20)--
s(16,48,20)t(40,32,20)+s(48,32,12)t(24,24,12)+-
t(24,24,12)s(40,24,20)+s(16,32,20)+c(32,24,20)*
s(24,48,20)t(16,56,12)-c(32,40,20)s(40,16,20)-*
c(32,24,20)s(32,32,28)*s(48,24,12)-s(24,32,20)*
s(24,48,20)c(24,40,20)*t(40,48,12)+t(24,32,20)-
c(32,32,28)s(48,32,20)*s(40,40,28)t(24,32,28)*-
s(32,24,20)s(24,40,12)c(40,24,20)s(40,16,20)*+*
c(32,32,20)t(24,48,28)s(24,40,28)*+s(16,32,12)-
t(24,40,28)s(32,32,20)c(40,32,20)s(40,40,28)**-
c(32,40,20)t(24,24,12)-c(24,40,12)t(24,24,12)+*
s(32,48,20)t(32,48,12)-s(24,16,20)s(48,48,12)+-
c(32,40,20)s(32,24,28)*s(32,24,28)s(40,24,28)**
s(40,32,28)s(40,16,20)+t(32,40,20)c(48,40,12)--
t(32,32,28)s(48,48,20)-s(16,32,12)-t(32,24,12)-
s(32,24,20)s(32,40,20)s(32,32,20)*s(24,48,12)+*
t(32,32,28)t(24,40,20)t(32,48,28)c(32,32,20)*+*
t(24,40,28)t(24,24,20)t(32,16,12)--s(24,32,12)-
s(24,32,28)t(32,40,28)s(40,32,28)s(24,40,28)**-
s(40,32,20)s(32,32,20)s(48,24,12)-*c(24,40,20)*
s(32,40,28)t(24,40,12)c(48,32,12)+c(32,48,12)-*
c(32,32,28)t(32,24,20)-c(32,40,12)-t(48,40,12)-
s(40,40,12)c(40,24,20)t(40,24,12)-t(40,40,12)-+
s(40,32,20)s(40,24,20)s(32,40,12)+c(40,32,20)**
s(32,40,28)s(24,24,28)c(32,24,20)**s(48,48,20)-
s(24,32,28)s(16,16,20)+s(16,48,20)-s(16,24,20)-
s(40,48,20)s(32,24,20)t(40,32,12)t(24,32,28)+*-
c(48,48,12)s(24,40,28)+s(24,32,20)s(32,48,20)-*
c(40,24,20)t(32,32,28)s(24,40,28)**s(24,40,12)+
s(32,24,28)c(32,32,12)t(48,16,12)+-t(24,32,12)+
s(8,24,12)t(32,32,20)t(24,56,12)+c(24,40,20)*+
s(24,40,20)t(24,40,28)t(32,32,28)t(24,48,28)+**
c(32,32,28)s(32,32,28)-s(16,48,20)-s(40,40,20)-
t(32,24,20)c(16,24,12)+s(8,16,12)-s(40,24,20)*
s(40,24,20)s(24,32,28)s(32,32,20)c(40,24,20)*--
c(32,32,20)s(24,40,12)-c(24,32,20)t(40,40,12)-*
c(40,40,20)s(24,16,20)c(40,32,20)t(32,40,28)*-+
s(32,40,28)t(32,40,28)s(16,48,12)--s(16,32,12)-
c(32,32,20)c(40,32,20)s(24,24,28)*-s(32,24,28)*
c(48,24,12)s(40,48,20)+t(32,56,12)-t(32,32,28)*
s(48,40,20)s(40,40,20)c(24,32,12)s(16,16,12)++*
s(24,24,20)s(48,32,12)s(24,32,28)+c(24,24,20)**
s(48,32,12)t(32,32,28)+t(32,40,20)-s(32,24,28)+
c(40,40,20)t(24,32,28)t(32,32,20)*-s(48,32,12)-
t(32,32,20)t(32,48,12)c(24,24,20)+s(40,40,20)*+
c(24,24,20)s(32,24,20)*t(32,32,28)+t(24,40,28)-
s(24,48,12)s(48,16,20)+c(32,24,20)c(48,24,12)+*
t(24,32,28)c(24,24,20)s(40,40,28)s(32,40,28)***
t(32,48,28)s(32,40,20)s(24,32,28)s(48,16,20)-**
t(24,32,28)s(24,40,28)*t(24,40,12)-c(16,24,12)-
s(24,32,28)t(32,16,12)-s(32,40,28)*c(48,32,12)+
s(32,16,20)c(32,40,20)+s(24,40,28)*t(40,48,12)-
c(40,40,20)s(32,40,28)*t(24,16,12)+s(32,40,20)*
s(40,32,20)c(24,40,20)*s(16,40,12)s(40,48,12)++
c(32,24,20)s(24,32,28)*s(24,24,28)t(32,48,28)-*
t(32,40,20)c(24,48,12)t(24,40,28)c(32,32,20)*+*
s(16,40,20)s(24,40,28)s(32,40,28)**s(8,32,12)-
t(32,32,28)s(48,48,12)-s(32,40,20)c(16,24,12)--
s(24,40,28)s(24,24,20)c(32,32,20)c(24,32,20)***
s(32,24,20)s(40,24,20)*c(40,40,12)s(16,48,12)+-
s(40,40,20)s(40,40,12)s(24,40,20)+*s(32,48,20)*
t(24,48,28)t(32,32,28)s(40,24,28)*-s(40,40,28)+
t(32,40,28)s(24,32,28)*s(32,24,28)c(16,32,12)-*
t(32,48,28)s(48,24,20)c(32,32,20)c(16,16,12)-+*
s(48,40,20)t(32,48,28)-s(40,40,28)s(8,8,12)+*
s(40,24,20)s(16,32,20)-t(32,32,20)-t(48,40,12)-
c(40,24,20)c(32,24,20)t(24,40,28)*+s(48,24,20)-
t(32,24,20)s(24,32,28)s(40,24,28)c(32,24,20)***
s(48,48,12)c(32,24,20)s(40,40,28)*+s(24,24,28)+
t(24,40,12)s(24,48,20)s(32,48,12)-+t(40,40,20)-
s(32,32,28)c(32,40,20)*c(32,32,12)-s(24,32,12)-
s(24,40,20)t(24,48,28)*s(24,40,28)s(32,48,20)**
s(16,48,20)s(16,40,20)s(40,32,20)-t(24,40,28)**
c(24,40,20)s(40,24,28)c(32,32,20)t(40,40,20)*-+
s(40,40,28)s(40,32,20)-c(24,32,20)t(16,40,12)-+
c(24,32,12)c(48,16,12)t(32,24,20)++s(32,24,28)*
c(40,24,12)c(40,40,20)c(24,40,12)-+c(40,32,20)*
c(24,32,20)s(48,32,20)s(48,40,20)*s(16,8,12)++
t(24,24,20)s(40,24,20)s(16,32,20)s(16,16,12)---
s(32,24,20)c(16,48,12)+c(40,32,20)t(48,40,12)-*
s(32,32,28)s(48,48,12)s(32,48,12)+-s(24,40,28)*
s(48,16,20)t(32,48,28)+c(40,24,20)-s(24,40,12)-
t(24,32,28)c(24,24,20)c(32,24,20)*c(16,24,12)-*
s(8,40,12)s(24,32,28)s(24,40,28)*c(40,24,20)*+
c(48,16,12)s(24,32,20)+s(16,32,20)s(24,16,12)--
s(24,32,20)s(16,16,12)-c(24,16,12)-t(24,40,28)*
s(32,40,20)c(24,32,20)*s(24,32,20)*s(24,32,12)+
t(40,16,12)t(24,40,28)s(32,48,20)-+s(32,24,28)*
s(16,40,20)s(24,32,28)c(40,40,12)-*s(40,24,20)+
s(32,24,20)s(32,16,20)+s(24,24,20)t(16,32,12)-*
s(24,24,28)s(40,40,28)-t(32,32,28)-s(32,24,28)*
s(32,40,28)s(32,32,20)s(40,16,12)+s(40,24,20)**
s(40,32,28)t(24,32,28)*t(32,32,28)s(32,24,28)**
s(48,40,20)t(24,48,12)s(40,40,20)+*t(40,24,20)-
s(40,32,28)s(32,40,28)t(24,48,28)*t(32,24,20)--
s(32,40,28)s(24,48,20)s(24,24,20)s(8,24,12)--*
s(24,32,28)s(16,40,20)-s(32,24,28)t(32,48,28)-*
s(24,32,28)s(32,40,12)c(32,32,28)t(40,48,20)*+*
c(32,32,20)s(32,40,20)+c(24,24,20)s(32,24,12)-*
c(32,40,20)s(40,24,28)s(48,32,20)*s(32,32,28)*-
s(32,32,28)t(48,32,12)-t(32,32,28)s(40,24,28)**
s(24,32,20)s(32,24,28)s(40,32,28)c(40,48,12)-**
c(32,40,20)s(16,48,12)-t(24,32,28)s(32,24,20)*-
c(24,32,20)t(32,40,20)-s(32,40,28)t(24,32,12)--
s(40,32,20)c(32,40,20)s(32,24,12)-s(32,32,20)-+
c(32,32,28)s(32,48,20)*s(40,48,20)s(40,40,20)**
s(40,48,20)s(40,24,28)c(24,40,20)*+c(32,32,28)*
c(40,32,20)s(32,24,28)c(40,24,20)s(40,40,12)-+*
c(32,32,20)s(32,24,28)s(48,16,20)*c(32,32,28)*-
s(24,40,28)c(32,32,20)*t(32,48,28)s(40,32,28)**
t(24,32,28)s(24,32,28)s(24,24,28)*c(24,32,20)**
s(40,24,28)s(48,16,20)c(40,24,20)s(16,16,20)-*-
c(24,32,20)s(16,48,20)-c(16,32,12)-c(32,48,12)-
t(24,48,20)s(24,32,28)s(24,40,28)*+c(24,24,12)-
s(32,32,20)s(40,24,20)*s(48,24,20)c(40,32,12)--
s(24,32,20)s(48,32,20)-c(32,32,20)t(16,48,12)+*
s(40,8,12)t(24,48,20)+t(32,40,12)+t(24,48,20)-
c(32,40,20)s(24,32,28)*t(32,48,20)-t(40,32,12)-
s(24,24,20)s(40,32,20)t(40,16,12)--s(40,40,28)-
t(32,48,28)s(40,48,20)*s(40,40,28)s(32,16,20)-*
t(32,48,28)s(40,32,28)s(32,32,20)t(40,16,12)+**
c(24,24,12)s(40,16,20)+s(24,48,20)c(24,24,20)+*
s(24,24,28)t(24,24,20)-s(40,24,28)c(48,16,12)-*
c(24,40,20)s(8,48,12)-c(40,40,20)*s(16,32,20)-
s(32,16,20)c(48,24,12)-c(16,24,12)-s(24,16,20)*
t(40,48,20)t(24,32,28)s(48,48,20)-c(16,16,12)-+
t(24,48,28)c(24,40,20)t(32,24,12)-s(32,32,28)*-
s(48,16,20)s(24,24,28)s(24,16,20)--s(32,8,12)-
t(40,48,20)s(24,24,28)s(16,24,20)t(24,16,12)-*+
t(32,40,28)s(48,48,12)-t(32,32,12)-s(32,40,12)-
c(32,24,20)s(32,16,20)t(48,56,12)s(32,24,12)+--
s(24,40,28)t(24,32,28)t(32,40,28)*t(32,40,20)*-
s(24,48,20)t(32,40,28)c(32,40,20)s(32,48,20)***
s(40,32,28)s(32,40,28)*s(40,32,20)s(40,24,20)**
s(40,24,12)s(48,8,12)+s(40,16,20)t(48,48,12)+*
c(24,40,20)t(40,32,12)-s(16,32,20)c(32,32,28)**
c(24,40,20)s(40,40,28)s(24,16,20)+*c(40,32,20)+
s(24,48,20)s(48,40,20)-s(24,40,20)c(32,40,20)**
t(24,16,12)c(40,24,20)c(32,32,12)-+c(24,32,20)-
s(24,32,28)s(32,40,28)s(32,24,20)c(40,32,20)**-
c(40,40,20)c(24,32,20)*s(32,40,20)c(48,40,12)-*
c(40,24,20)t(32,48,28)-t(24,16,12)+s(32,32,28)*
c(24,40,20)s(32,32,28)*s(24,32,20)c(40,24,12)-*
s(24,32,20)t(16,48,12)+t(24,40,20)c(32,32,20)*-
t(32,32,28)t(24,32,28)t(24,48,28)s(24,32,20)*-+
c(40,32,12)c(24,40,20)+s(32,40,20)-c(32,32,28)*
s(32,32,28)t(24,40,28)-c(40,40,20)c(32,32,20)*+
s(24,16,20)s(16,24,12)c(40,16,12)+*s(32,16,20)+
c(24,24,20)s(16,16,20)s(8,32,12)-s(32,8,12)--
s(32,32,20)c(24,40,20)s(8,32,12)-*t(24,32,20)*
s(24,24,28)c(24,32,20)c(16,32,12)-s(32,32,20)**
s(24,24,20)s(32,16,20)c(48,24,12)-t(24,16,12)--
s(32,40,28)t(24,32,20)c(40,32,12)-s(16,48,12)+*
s(40,48,20)s(32,48,20)*c(32,24,12)c(40,40,20)+*
s(32,32,20)c(24,40,20)*s(8,16,12)t(32,40,12)+-
s(32,24,28)s(48,24,12)-t(24,32,28)*s(40,40,28)*
t(32,32,28)t(32,48,28)+t(16,56,12)c(24,32,20)+*
c(32,32,20)c(32,32,28)s(32,32,12)-*t(40,24,12)-
s(32,40,28)s(40,24,28)s(24,24,28)*s(32,40,28)*-
s(24,32,28)s(32,24,12)-t(24,48,12)-t(32,40,28)*
c(48,24,12)t(32,48,28)+s(24,24,28)c(40,32,20)**
s(24,48,20)c(32,40,20)*t(24,40,28)*s(24,32,28)*
t(16,24,12)c(40,32,20)t(24,32,20)-+s(24,32,28)*
t(24,40,28)t(40,48,20)c(24,40,20)s(40,24,28)*--
s(32,16,20)s(40,40,28)c(24,32,20)*-t(16,16,12)-
t(16,24,12)s(16,32,12)c(32,32,12)++t(24,32,20)*
t(32,48,20)s(40,40,12)-s(32,24,28)s(24,24,28)*+
t(32,48,28)c(24,40,20)s(32,24,20)c(16,16,12)--*
c(32,32,20)c(32,24,20)s(32,8,12)-*s(32,40,20)*
c(32,48,12)s(24,16,20)s(40,24,20)s(40,32,20)*-+
s(32,24,28)c(24,16,12)-s(16,32,20)-s(32,40,20)-
s(32,32,28)c(32,32,12)-t(24,32,28)s(48,24,20)-*
s(40,32,20)s(40,32,28)s(8,40,12)+s(24,32,28)**
t(24,40,28)t(24,32,28)*c(24,40,20)c(32,24,20)**
s(24,40,28)c(24,24,20)s(16,48,20)--c(32,24,20)-
s(48,16,12)c(40,40,20)s(16,48,20)-s(48,32,20)*+
s(32,40,28)s(16,16,20)s(24,24,20)*-s(16,32,20)-
s(32,24,12)s(48,24,20)+c(40,40,20)s(40,24,28)*-
c(48,48,12)s(48,40,20)s(40,32,28)*+s(48,16,20)-
s(32,24,20)s(40,24,20)s(40,24,28)s(32,40,12)-**
s(16,16,20)c(24,24,20)t(24,40,12)-*s(8,32,12)-
t(32,48,28)t(32,40,28)*s(16,48,12)-s(24,16,20)-
c(40,40,12)c(24,40,20)+s(16,16,20)s(16,32,20)*-
t(24,40,20)t(24,48,20)s(24,24,20)-c(24,40,12)+*
s(24,48,20)c(24,40,20)s(40,40,28)c(32,32,20)--*
s(32,24,28)c(32,32,28)s(24,24,28)c(40,40,20)-**
t(32,16,12)t(32,40,20)t(40,48,12)-+t(40,48,20)-
s(32,32,28)s(24,32,28)t(32,32,12)-*s(40,24,28)*
t(16,32,12)s(32,32,20)+s(8,48,12)t(32,24,20)+-
s(24,24,28)c(32,32,28)*s(40,40,20)-s(32,40,28)+
c(40,40,20)s(32,24,20)t(40,40,20)--t(32,48,28)*
s(48,40,12)s(32,24,20)s(40,8,12)-+s(16,24,20)*
t(32,48,28)s(32,32,12)-s(16,32,20)+s(40,32,28)*
s(24,40,28)t(24,40,20)s(48,16,12)+*c(40,48,12)-
s(32,40,20)c(24,40,12)-t(48,40,12)-t(16,56,12)+
t(24,24,20)s(32,40,20)+t(24,48,20)-t(16,32,12)-
s(24,24,28)t(40,32,12)-c(24,32,20)*c(40,16,12)-
s(40,32,20)s(32,40,28)s(16,24,12)c(40,40,20)+**
c(40,24,20)t(24,32,28)s(32,48,12)--s(32,48,12)+
s(32,40,28)c(16,32,12)-s(24,16,20)s(32,40,12)+*
t(24,48,28)s(16,48,12)-s(24,40,20)s(16,40,20)*-
s(32,40,20)c(24,32,12)s(48,32,20)+*t(24,32,28)*
s(48,32,20)s(24,16,20)+s(32,24,20)c(32,32,20)**
s(40,32,28)s(32,32,28)s(48,24,12)-s(16,40,12)-*
s(32,8,12)c(32,32,20)t(24,32,12)-t(32,48,28)*+
c(32,40,20)c(40,40,12)-c(32,32,28)s(24,16,20)-*
t(32,32,28)t(24,24,20)-s(48,48,20)-s(48,32,12)-
c(32,24,20)t(40,40,20)t(32,40,28)c(32,16,12)-*-
s(32,40,28)s(24,48,20)t(40,40,20)c(32,32,20)*-*
s(24,32,20)s(32,48,20)c(32,24,12)s(8,32,12)++*
s(40,40,20)s(40,24,20)+s(32,24,20)-c(24,40,12)-
c(40,32,20)s(40,48,20)-t(16,32,12)+c(40,24,12)-
s(40,24,20)c(24,40,20)s(40,40,20)*-s(32,24,20)*
t(48,24,12)s(24,32,28)t(32,32,28)t(40,48,12)+*+
s(40,40,28)s(24,40,12)-c(32,48,12)c(48,24,12)+*
s(40,24,28)t(24,32,28)c(32,32,20)*s(40,16,20)--
s(32,32,28)c(40,24,20)*s(24,32,28)*t(32,40,28)*
c(32,24,20)s(32,32,28)s(16,40,20)+*t(40,24,20)*
s(40,40,20)c(40,24,20)s(40,16,20)*-s(16,32,20)-
s(40,48,20)s(32,40,28)t(24,32,28)*t(24,40,28)*-
t(24,32,20)s(16,32,20)+s(16,24,20)s(16,32,12)--
t(40,48,20)c(32,32,20)c(32,40,20)*c(48,40,12)-+
s(8,16,12)c(24,40,20)c(40,40,20)*+c(32,24,20)*
s(16,48,20)s(24,24,12)+t(24,32,28)*c(32,40,20)*
t(24,32,20)s(24,24,28)s(24,40,28)s(48,24,20)-**
s(32,24,20)s(32,8,12)s(40,32,20)+s(32,48,20)-*
t(24,24,20)s(40,32,28)t(32,32,20)-s(32,24,28)*+
s(40,24,28)s(16,40,12)+t(24,56,12)c(16,40,12)+-
t(32,24,20)s(24,32,28)s(32,32,28)s(40,16,20)+**
c(48,32,12)t(32,32,28)c(32,24,20)*s(32,40,20)*+
s(32,16,20)s(48,16,12)-s(16,16,20)c(32,32,20)--
c(32,32,28)s(48,32,20)c(32,40,20)*-s(32,24,20)*
t(24,48,28)t(40,24,20)s(40,16,20)*t(32,40,28)+*
s(40,24,28)s(32,16,20)c(16,16,12)c(16,48,12)++-
s(48,32,20)s(24,40,12)+c(40,40,20)s(40,40,12)-*
s(32,24,28)s(40,40,28)c(32,32,20)*t(32,32,28)*-
s(24,40,28)c(40,32,20)s(40,40,12)-*t(40,32,12)+
s(40,40,28)s(16,48,20)-c(32,32,20)s(16,40,20)--
s(40,32,28)s(40,24,28)*t(24,32,28)*t(16,32,12)+
s(32,32,20)s(24,24,28)*s(40,24,28)t(24,32,28)**
s(32,32,28)c(24,40,12)-s(40,24,20)t(48,16,12)--
c(32,32,20)s(24,40,28)s(24,48,12)-s(32,40,28)**
s(32,24,20)s(24,24,20)*t(32,32,28)c(32,32,20)**
s(40,32,28)c(40,24,20)s(32,32,28)*-s(24,32,20)-
t(24,48,28)t(32,32,28)-t(32,48,28)s(32,24,20)-*
s(16,32,12)c(40,32,20)+s(32,40,28)t(40,48,12)-*
t(24,56,12)t(32,40,28)s(32,24,28)s(16,24,12)-*+
s(32,24,28)s(48,16,12)-s(24,40,28)s(48,48,20)--
t(32,24,20)s(24,24,20)+c(24,32,20)s(48,24,20)-*
t(32,40,28)s(40,48,20)+t(32,32,28)*t(24,40,28)*
s(32,48,20)s(24,48,20)s(40,32,28)s(32,48,12)-+*
s(32,32,28)t(24,48,28)s(48,48,20)+*s(8,32,12)+
t(24,48,28)s(16,8,12)c(32,32,20)+*t(24,32,20)+
t(32,32,20)t(24,32,28)s(32,32,20)*c(40,48,12)+*
s(24,40,28)s(24,32,20)s(16,32,20)*-s(40,32,28)*
s(24,24,28)c(16,40,12)c(32,40,12)t(32,24,20)++*
s(40,48,20)s(24,40,28)*t(32,32,20)t(40,40,12)--
s(40,32,20)s(16,8,12)s(24,48,20)s(32,40,28)*+-
t(24,32,28)c(24,40,20)*s(32,32,28)*c(24,24,20)*
s(24,24,20)t(32,48,28)s(24,24,12)+s(40,32,12)--
c(24,40,20)s(24,8,12)+s(32,8,12)s(24,40,12)+*
s(24,48,20)c(24,40,20)s(16,16,20)-s(24,32,20)**
c(40,24,20)s(48,32,20)s(40,32,28)c(32,32,12)-**
s(40,40,28)s(48,32,12)s(24,32,20)+s(16,48,20)-*
t(16,32,12)s(32,16,20)s(32,24,20)*+s(32,32,28)*
c(32,24,20)c(40,40,20)*c(40,24,20)c(32,24,20)**
s(32,8,12)s(16,48,20)s(24,48,12)s(16,32,12)+*+
t(40,40,20)s(32,40,28)s(40,32,28)s(48,16,20)*-*
t(40,40,20)s(16,24,20)t(24,24,20)*+s(24,32,28)*
s(24,24,20)c(24,24,20)s(8,40,12)+s(24,40,28)**
c(32,32,20)c(24,24,20)*s(40,40,28)s(48,48,12)-*
c(32,24,20)t(40,24,12)-c(32,40,20)c(40,40,20)+-
s(32,40,28)c(24,40,20)s(40,40,20)+*t(24,40,28)*
s(40,32,28)c(32,40,20)t(32,40,28)*t(40,40,20)*-
s(40,16,20)c(40,40,20)s(24,24,20)-t(48,48,12)--
s(40,48,20)t(24,48,12)-c(32,32,28)s(40,48,20)**
t(32,48,20)c(40,48,12)t(24,48,28)s(16,40,20)*++
s(40,8,12)c(40,40,12)+s(40,48,12)-t(32,32,28)+
c(40,32,20)s(32,48,20)-c(40,40,20)*s(40,24,20)+
s(48,16,20)s(48,16,12)c(24,24,20)s(24,24,12)-+*
t(16,40,12)s(40,16,20)+s(32,16,20)*c(40,32,20)+
s(40,40,28)s(32,24,12)t(48,56,12)+s(16,32,20)--
s(40,24,28)s(16,40,20)s(16,16,12)c(24,32,20)++*
s(40,32,20)s(40,40,28)t(32,48,28)*c(48,48,12)+*
c(32,40,20)s(32,32,12)-t(32,40,20)+s(48,32,20)-
s(32,40,28)s(24,48,20)t(32,32,20)-+s(24,16,20)-
s(24,32,28)s(32,16,20)s(24,24,28)c(16,24,12)-*-
c(40,32,20)s(32,40,28)t(32,40,12)-*c(40,24,20)*
c(40,24,20)s(32,32,28)t(24,40,28)t(24,32,12)--*
s(8,48,12)s(32,16,20)c(48,16,12)+s(48,40,12)++
c(40,24,20)s(40,32,20)s(32,40,20)*s(32,24,28)*-
s(40,32,28)c(32,24,20)*s(32,24,20)*t(24,48,28)-
c(40,32,12)t(24,40,28)t(24,32,28)*+c(32,48,12)-
s(40,32,28)s(32,40,28)t(24,32,20)-*t(24,32,28)+
c(16,40,12)s(40,40,20)c(40,32,20)*t(32,48,28)*+
s(32,8,12)s(32,40,28)s(24,16,20)-t(24,32,28)*+
s(40,32,20)c(24,40,20)s(16,24,20)s(40,24,28)--*
c(24,40,20)s(40,32,20)c(48,48,12)s(24,32,28)+**
s(16,16,20)s(32,24,20)t(24,32,28)t(32,16,12)+*-
s(40,32,20)s(40,48,20)s(40,16,12)+*s(32,24,12)-
t(32,24,20)s(24,32,20)+c(40,32,12)-c(24,32,20)*
t(24,40,28)t(40,48,12)s(16,32,20)+t(32,32,20)-*
s(24,40,20)s(24,32,28)s(32,24,20)t(24,32,12)-*-
s(32,8,12)s(40,16,20)t(24,32,28)-+c(40,24,20)*
t(32,24,12)s(48,32,20)+s(40,40,28)c(32,32,20)**
s(24,24,28)c(16,24,12)t(40,24,20)s(48,24,20)*+*
c(32,32,20)s(40,32,28)*t(32,32,28)*s(40,40,28)*
s(32,16,20)s(16,40,20)+s(16,32,20)s(24,48,20)-*
s(16,40,12)s(24,8,12)+t(48,32,12)t(24,24,20)+-
s(40,32,28)s(48,32,20)t(48,40,12)--t(32,40,12)-
t(24,48,28)s(40,24,28)-s(32,40,28)*t(32,48,28)*
c(32,32,20)s(8,8,12)+s(32,32,20)-s(32,40,20)-
s(32,24,28)s(16,16,20)-s(48,24,20)-s(24,24,28)*
c(24,40,20)s(40,40,28)s(40,48,12)-c(32,40,20)**
s(16,48,20)t(32,48,12)t(40,40,20)+s(32,32,28)*+
c(24,24,20)s(32,40,28)*t(24,32,20)t(24,16,12)-*
t(24,48,28)s(32,32,28)s(48,32,12)-*t(24,48,12)-
c(40,24,20)c(24,32,12)s(40,16,20)s(32,16,20)*+*
s(32,48,20)t(24,56,12)-t(24,48,12)-s(24,40,12)-
s(40,24,28)s(40,32,28)*s(32,24,20)s(32,16,20)*+
t(24,40,28)t(24,40,20)t(24,16,12)+c(32,16,12)-*
s(32,32,28)s(32,16,20)+c(40,40,20)s(32,48,20)*-
s(24,40,20)s(8,48,12)s(32,32,28)+*c(24,16,12)+
t(40,48,20)t(48,24,12)s(8,24,12)++t(24,48,28)-
s(24,24,20)s(40,32,28)t(32,16,12)s(32,40,20)+*+
s(24,24,28)s(16,24,20)t(32,40,28)-s(48,32,20)+*
s(32,32,28)t(32,48,20)+s(24,40,28)*s(24,48,20)*
s(32,16,12)c(24,48,12)+s(40,40,28)*s(24,24,12)+
t(24,32,28)c(24,32,20)t(24,48,20)-s(40,24,28)*-
s(32,32,28)s(16,32,20)c(32,32,20)*s(8,16,12)+-
t(40,16,12)t(24,48,28)+s(24,40,20)s(16,40,20)**
c(24,32,20)s(32,48,12)-s(40,24,20)-t(24,32,28)*
s(48,48,20)c(24,40,20)s(24,32,28)*-t(32,32,28)-
t(24,32,28)c(16,48,12)-c(40,24,20)s(16,32,20)--
t(24,40,28)c(24,24,20)t(40,16,12)-*s(32,16,12)-
s(32,40,20)t(24,40,28)*c(24,32,20)*s(32,32,20)*
s(48,16,20)t(24,24,20)+s(40,32,28)*c(32,32,12)-
s(48,40,20)s(40,32,28)+s(48,48,20)*t(40,48,12)-
s(40,48,20)t(40,40,12)-s(32,40,28)t(40,24,12)-*
s(16,32,12)s(40,40,20)+c(32,32,28)s(48,16,20)*-
c(24,32,20)t(32,32,28)*t(24,32,28)*s(32,24,20)*
s(40,32,20)c(40,24,12)-t(24,48,28)t(24,40,28)*+
t(40,32,20)s(32,24,28)t(32,40,28)s(32,48,20)+*+
s(24,32,28)s(24,32,20)s(40,48,20)c(40,48,12)---
s(48,48,20)s(32,32,28)t(24,32,20)-s(40,40,20)*-
s(32,40,28)s(24,32,28)s(48,24,20)--s(24,32,12)+
c(32,24,20)t(48,16,12)-s(32,40,20)t(16,16,12)+*
s(48,24,20)s(24,40,28)s(40,40,28)s(24,32,20)*--
s(40,40,28)s(32,24,12)-s(24,40,20)c(16,24,12)-*
s(32,32,28)s(24,32,28)s(8,24,12)s(32,24,28)+**
s(40,40,20)s(24,48,12)-c(32,40,20)s(32,24,28)**
c(40,32,20)t(24,48,28)+c(40,40,20)s(16,40,20)-*
s(24,40,28)t(40,32,20)s(48,24,12)--t(32,40,20)-
c(40,40,20)c(32,24,12)c(48,32,12)+*c(16,16,12)+
t(32,48,28)s(48,40,20)+t(32,32,28)*c(16,48,12)-
s(24,40,28)t(24,48,20)s(24,32,12)-c(40,48,12)+*
s(24,48,20)t(24,48,28)c(40,24,20)s(24,24,20)*-*
s(48,24,20)s(48,32,20)t(32,40,28)s(40,48,20)*-*
c(24,32,20)t(32,48,20)-c(24,24,12)-s(48,32,12)-
s(24,48,20)s(32,40,28)s(40,48,12)-s(40,24,20)+*
s(32,32,20)s(24,48,20)s(32,24,20)-t(40,32,20)+*
t(32,32,20)s(16,40,20)c(24,40,20)s(40,48,20)*--
t(40,24,20)s(40,16,20)s(40,16,12)-s(32,32,20)+*
c(32,40,20)c(40,40,20)*t(24,32,28)s(32,40,28)*-
s(32,16,20)c(32,40,20)s(32,32,28)*s(24,32,20)*-
s(40,16,20)s(32,24,20)s(40,40,28)+*s(32,16,20)*
t(24,40,28)s(24,32,20)*s(8,40,12)-s(24,48,12)-
c(24,24,20)t(32,32,28)s(32,24,28)c(16,32,12)-**
t(32,40,28)c(40,32,20)+t(24,24,20)c(48,48,12)+*
s(32,32,28)t(48,56,12)s(32,16,20)+t(48,56,12)-*
c(24,40,20)s(24,16,20)s(32,32,20)+t(40,40,12)-*
s(24,24,28)s(24,16,20)s(24,32,28)t(32,24,20)--*
t(32,32,20)s(32,32,20)s(32,40,20)s(16,16,12)+*+
c(16,32,12)s(40,40,28)s(24,16,20)-+t(24,48,20)-
t(48,56,12)c(24,40,20)t(32,32,20)t(32,16,12)-*+
s(40,24,20)c(24,24,20)s(16,16,20)-t(40,32,12)+-
t(24,16,12)t(24,48,28)+s(16,48,12)-s(32,24,28)+
s(32,40,20)c(40,32,20)t(32,24,20)+*s(24,24,12)-
s(24,24,28)c(40,24,20)*s(24,24,20)t(16,32,12)-*
s(40,24,28)c(32,24,20)*t(24,40,28)s(16,32,20)*-
t(16,32,12)s(32,32,20)+c(40,48,12)-s(32,40,20)*
c(32,32,28)c(32,16,12)t(24,40,20)+s(32,16,20)*-
t(16,56,12)c(16,32,12)+s(32,16,20)-c(32,24,20)-
c(48,24,12)c(16,40,12)t(32,32,20)++s(32,32,28)*
c(32,40,20)s(16,48,20)+c(24,40,20)s(32,40,28)*-
c(40,24,20)s(32,40,20)*s(16,48,20)+t(24,40,28)*
c(24,24,20)t(40,16,12)-s(24,16,20)s(32,8,12)-*
t(16,48,12)s(24,40,20)t(24,32,28)*+s(40,32,28)*
s(24,48,20)t(32,40,28)c(24,40,20)s(32,40,12)-*-
c(40,40,20)s(24,40,20)c(24,40,20)t(24,48,28)-+-
s(32,40,20)s(40,32,28)t(24,32,28)*s(48,24,20)+*
s(32,24,28)s(40,32,28)t(24,40,28)t(24,48,20)*-*
s(40,32,28)c(32,32,28)t(40,48,20)-*t(32,32,28)*
c(32,40,20)s(32,24,28)t(40,16,12)-s(40,24,28)*-
s(16,24,20)t(32,16,12)+s(32,24,28)*s(32,40,20)+
s(40,16,20)s(32,24,20)s(32,32,28)s(40,40,28)---
s(40,24,28)t(32,40,28)t(32,40,12)-c(32,40,20)*-
s(32,32,20)c(32,40,20)s(24,40,20)*s(40,32,28)**
s(40,40,28)c(40,24,20)s(48,40,20)*c(16,48,12)+*
s(24,48,20)c(32,24,20)-s(32,24,12)+t(32,24,12)-
c(24,32,20)c(32,40,12)-c(40,32,12)-s(40,32,20)-
s(48,24,20)c(32,32,20)c(24,40,12)-s(40,24,20)**
c(32,32,28)t(40,40,20)s(32,24,20)+t(40,24,20)*-
t(16,16,12)s(32,48,20)c(24,32,12)-c(48,32,12)++
c(24,32,20)c(40,32,12)-s(40,32,28)t(24,40,28)**
c(40,40,20)s(32,40,28)c(32,24,20)*t(32,40,28)**
c(32,32,28)s(16,16,12)-s(16,40,12)-s(32,32,20)*
c(32,32,28)t(24,48,28)-t(24,16,12)-c(40,32,20)*
s(32,24,28)s(24,24,20)s(24,48,20)+s(32,40,20)**
s(24,16,20)s(32,32,20)c(32,40,20)s(24,40,28)**-
c(16,48,12)s(40,32,20)+s(24,32,28)*s(40,32,28)*
s(24,32,20)c(24,40,20)t(24,48,28)c(32,32,12)-*-
t(32,32,28)t(48,48,12)+t(32,48,28)c(24,16,12)+*
s(16,32,20)c(32,24,20)c(48,16,12)-s(40,40,20)--
s(24,32,20)s(32,24,20)s(40,40,12)-+t(24,40,20)*
t(40,32,20)s(40,32,28)s(24,32,20)c(40,40,12)--*
s(24,32,20)s(32,40,28)*c(16,32,12)+t(24,48,28)*
s(32,40,28)s(24,8,12)s(16,40,20)+-c(24,40,20)+
s(32,16,20)s(24,32,28)c(32,40,20)*-c(32,32,28)*
s(40,40,28)s(40,40,20)s(32,40,20)s(32,24,28)**-
s(40,48,20)t(40,40,20)*t(16,48,12)+s(32,40,12)-
s(32,32,20)c(32,40,20)s(16,32,20)s(24,40,20)*-*
t(24,32,28)c(32,40,20)s(16,32,20)+*c(32,48,12)-
t(24,32,28)c(40,24,20)-c(24,40,20)*c(24,24,20)+
s(24,40,28)s(24,48,20)c(32,32,28)*c(48,40,12)+*
t(24,56,12)t(40,32,20)+s(32,32,20)+s(24,24,12)-
s(40,32,28)s(40,32,28)s(32,48,20)*-c(32,32,20)*
s(48,48,20)s(32,32,28)s(32,16,20)*t(40,32,12)+-
s(40,32,28)s(32,48,20)s(40,40,28)**s(40,40,20)*
c(32,48,12)s(32,32,12)+c(16,32,12)+s(40,40,20)-
s(32,40,28)t(32,32,28)c(24,32,20)s(40,32,12)-**
s(24,40,20)c(40,24,20)c(40,40,20)*t(32,48,12)+-
c(24,24,20)s(48,48,20)c(16,48,12)+-s(16,32,12)-
s(24,16,20)t(16,16,12)-t(24,40,28)+c(32,32,28)*
s(40,32,20)t(24,24,20)s(32,48,20)++t(24,48,28)-
c(32,32,28)s(40,16,12)t(24,24,20)+-c(40,32,20)*
s(32,24,20)s(32,32,20)t(32,32,28)t(24,32,28)**-
c(32,32,20)s(40,40,28)*c(40,48,12)-t(24,32,28)*
s(32,40,28)c(48,48,12)-s(32,24,28)c(16,32,12)-*
c(32,24,20)c(24,32,20)s(24,24,20)--s(40,24,28)*
c(32,32,28)s(24,24,20)c(32,24,12)-c(32,16,12)--
s(24,24,28)s(32,40,28)s(16,16,20)+*s(48,40,20)+
s(24,40,28)c(24,24,20)s(16,40,12)-*s(32,24,28)*
c(40,24,20)s(32,40,28)s(40,32,28)**s(16,32,20)-
s(32,32,28)t(32,40,28)*s(40,32,12)-c(40,48,12)-
s(16,24,20)c(40,32,20)c(32,24,20)t(40,40,12)-+*
s(24,48,20)s(24,40,20)s(32,16,20)+t(32,32,20)*-
s(32,24,28)t(24,24,12)-t(32,32,28)t(24,40,28)-*
s(24,40,28)t(24,56,12)c(32,24,20)+s(32,24,28)**
t(24,32,28)c(24,48,12)c(24,32,20)t(32,40,20)*+*
c(40,24,20)c(24,40,20)s(48,24,12)+t(32,32,20)*-
c(24,16,12)s(32,32,20)+t(24,24,20)-c(48,40,12)-
s(48,32,20)c(32,40,20)+s(24,24,28)*s(24,24,20)*
c(32,24,20)t(24,48,28)s(40,24,28)+s(24,40,20)-*
s(16,40,20)c(24,24,20)t(32,48,20)-+s(24,48,20)*
c(24,24,20)t(24,56,12)t(24,40,28)t(32,48,28)-+-
s(40,16,20)c(32,16,12)s(16,40,20)+c(40,40,20)--
t(24,32,28)s(16,32,20)c(32,24,20)+s(8,24,12)-*
s(24,24,28)t(16,32,12)t(32,48,28)t(32,40,28)*+*
s(16,32,20)s(24,40,20)-c(24,24,12)+s(16,32,20)+
s(24,24,20)s(32,32,28)s(24,40,28)**c(24,40,12)+
c(16,32,12)s(48,32,20)+t(40,40,12)-c(40,32,20)-
s(32,32,28)s(40,40,28)*c(24,24,20)*c(16,32,12)+
c(24,40,20)s(32,40,28)*s(24,32,28)s(24,48,12)--
s(16,24,20)s(32,24,28)c(24,24,20)t(16,24,12)-*-
c(32,24,20)t(40,40,12)c(16,16,12)+c(40,40,20)--
c(40,40,20)t(32,32,28)c(40,32,20)+s(48,16,20)*-
t(32,32,28)s(40,40,28)s(32,40,20)--t(32,24,20)*
c(40,48,12)s(32,16,20)s(48,8,12)+s(40,32,28)-+
s(32,40,28)c(24,40,20)t(32,40,28)*c(24,32,20)*-
s(48,16,20)s(40,32,20)c(32,32,20)*+c(40,16,12)-
s(48,48,20)c(32,24,20)s(40,24,20)t(24,32,12)-+-
t(48,16,12)s(48,8,12)+t(24,40,20)+c(40,40,12)+
t(24,48,28)c(32,32,28)s(32,32,20)-c(24,40,20)*-
s(16,48,20)t(48,48,12)s(24,48,20)s(48,16,12)++*
s(16,48,20)t(32,48,28)+s(32,40,28)t(24,32,28)*-
t(24,40,28)s(32,16,20)s(32,32,28)*-t(24,48,20)*
s(40,16,20)s(32,16,20)*s(24,32,20)+s(24,32,28)*
s(32,40,20)c(24,40,20)s(40,40,28)**s(24,24,28)*
s(24,16,20)s(24,8,12)s(48,16,20)s(48,40,20)-+*
s(32,32,28)s(48,40,20)s(16,40,20)+c(40,32,12)-*
s(48,48,20)c(32,32,20)+s(40,48,20)-s(40,24,28)*
s(32,24,28)s(32,40,28)*s(40,24,28)*s(24,16,20)-
s(40,40,28)c(32,40,20)*s(24,32,28)*s(40,24,28)*
s(40,48,20)c(40,40,20)s(24,40,12)-t(48,24,12)-*
t(24,24,20)c(24,32,20)c(40,24,20)s(48,24,20)*-*
s(48,48,12)s(40,24,20)+s(40,40,20)s(48,8,12)+-
t(32,32,28)c(32,32,20)*c(24,24,20)s(16,24,20)--
c(32,24,20)s(40,32,20)*s(32,32,28)s(24,40,12)-*
t(40,24,20)s(16,32,20)+s(24,32,20)*s(16,48,20)-
c(32,40,20)s(40,40,28)*t(32,40,20)-t(48,48,12)-
s(32,32,20)s(16,24,12)-s(40,32,28)s(24,48,12)-*
t(32,48,28)s(8,48,12)+t(24,32,28)*s(24,40,20)*
c(32,32,20)t(32,48,20)t(32,40,28)*-t(24,32,20)-
s(32,40,28)s(24,16,20)-c(40,40,20)*c(32,32,20)*
t(24,32,28)c(32,32,20)t(24,32,12)s(40,40,20)+**
s(40,32,20)s(32,24,12)-s(16,40,20)s(16,24,12)--
t(32,40,28)s(32,24,20)s(32,16,20)*s(40,40,28)+*
s(32,24,28)t(16,16,12)-t(16,16,12)t(40,40,12)+-
t(24,40,28)c(32,40,20)t(24,48,28)s(24,40,28)***
t(24,32,20)s(40,40,28)s(24,32,20)s(8,32,12)-*+
s(40,32,28)s(40,48,12)c(40,32,20)t(24,40,28)*+*
s(40,24,28)t(32,32,28)s(24,32,28)**s(24,32,12)-
s(24,32,20)s(24,40,28)s(24,24,28)*t(32,32,28)**
t(32,40,28)c(40,40,20)c(32,24,20)*-s(32,40,12)-
s(24,40,20)s(40,48,12)-c(24,32,20)*s(24,24,20)*
s(16,40,12)c(24,24,20)+c(24,16,12)-c(32,16,12)-
c(32,40,20)s(32,48,20)*t(16,40,12)-t(40,40,12)-
t(32,32,28)s(24,32,28)+s(48,32,20)c(40,32,20)**
s(8,32,12)s(32,40,20)+s(32,40,28)s(32,24,20)*-
c(40,32,20)s(32,24,28)t(32,32,28)**s(40,40,28)*
c(40,16,12)t(24,48,28)+s(32,32,20)c(48,32,12)+-
s(24,24,20)s(40,32,20)-c(24,32,20)*t(16,56,12)+
c(32,24,20)s(16,32,12)-s(32,40,28)-s(32,32,20)+
s(40,32,20)t(48,24,12)-t(32,48,20)-t(40,48,20)+
s(40,40,28)s(32,32,28)*s(24,32,28)s(16,24,20)--
t(24,32,20)c(40,40,20)t(24,32,28)*t(24,24,12)+*
s(32,24,28)c(32,32,28)s(40,48,20)*-s(40,24,28)*
c(24,32,20)s(48,40,20)t(40,40,20)-+s(40,24,20)*
c(48,16,12)s(40,48,20)s(40,32,20)*t(32,48,28)++
t(32,32,20)t(48,24,12)+t(24,32,28)t(32,32,28)**
c(24,32,20)s(40,24,28)c(32,24,20)*t(48,56,12)+*
s(32,40,28)t(24,48,28)c(24,24,12)--s(24,32,28)*
c(24,32,20)s(32,40,28)s(40,48,20)-*t(16,32,12)-
s(24,24,28)t(24,48,28)s(32,40,20)*-s(32,32,12)-
t(32,48,28)s(24,32,20)s(16,24,20)*+s(32,40,20)-
t(24,32,28)s(24,32,28)s(8,32,12)-c(32,24,20)**
s(24,40,28)s(16,24,20)-t(32,48,28)t(24,40,28)*-
s(16,32,20)s(24,40,28)s(24,8,12)s(16,32,12)++*
c(32,32,20)c(24,32,12)c(32,40,12)+-c(24,24,12)-
c(40,40,20)c(24,40,20)*s(40,32,28)s(32,40,28)**
t(24,24,20)s(16,48,20)c(24,24,20)+c(32,32,20)**
s(24,32,20)s(48,24,12)+s(40,24,12)-t(24,48,28)*
s(48,16,20)s(32,32,20)s(24,16,20)+c(40,40,20)+-
s(16,24,20)t(24,32,28)t(32,40,20)+*s(48,16,20)+
s(16,24,20)s(32,32,20)c(32,24,20)s(24,24,12)-*+
s(32,16,20)t(24,32,28)c(40,40,20)s(40,32,20)**-
s(40,40,28)c(40,40,12)-s(48,8,12)c(24,24,12)+-
s(24,40,20)t(24,48,28)*t(32,56,12)-s(16,32,12)+
s(40,32,20)s(48,8,12)+c(40,48,12)s(32,24,12)+-
s(40,32,28)c(24,32,20)s(16,40,12)-*c(40,40,20)*
s(48,40,20)s(32,40,28)*s(40,24,28)+c(32,24,20)-
s(48,32,20)c(40,24,20)s(32,24,28)*s(24,24,20)*-
c(24,24,20)t(24,56,12)s(32,24,28)+*s(32,40,28)*
s(40,32,20)t(32,32,20)*s(40,8,12)+c(24,24,20)*
s(40,40,28)s(24,24,28)*t(40,48,12)+s(48,16,20)-
t(40,24,20)c(32,40,20)s(48,16,20)t(48,24,12)-+*
s(40,24,28)s(40,32,28)t(24,48,28)*-s(32,24,28)*
s(24,40,28)s(24,32,28)*s(24,8,12)s(40,32,28)+*
t(32,32,28)t(24,16,12)+s(40,32,28)*s(40,32,20)*
t(32,24,20)s(32,16,20)t(16,16,12)-s(32,48,20)+*
s(48,8,12)t(40,40,20)+t(24,40,20)t(24,32,28)*+
t(32,48,28)s(32,24,20)-s(32,48,20)*s(40,48,20)*
s(32,16,20)c(24,48,12)c(32,24,12)+t(32,32,28)*-
s(48,24,20)s(24,32,20)s(32,48,12)-c(32,24,20)*-
s(40,40,28)t(40,24,12)-s(32,40,20)*c(32,32,20)*
c(24,32,12)c(24,48,12)+s(16,32,20)*t(40,40,20)+
s(40,40,28)c(24,24,12)-s(32,40,20)s(32,32,20)**
s(32,32,20)t(24,32,28)c(24,16,12)-*s(32,16,20)-
c(24,40,20)s(16,24,20)t(32,24,20)--s(24,32,20)-
c(32,24,20)s(40,16,20)s(32,32,28)*s(24,40,28)+*
c(16,16,12)s(40,24,20)s(24,32,20)s(32,16,20)+*+
c(32,24,20)s(40,24,20)*c(32,24,20)t(32,40,20)-*
t(32,32,28)t(32,48,28)t(40,24,20)+c(40,24,20)**
c(24,32,12)s(40,32,28)s(24,32,28)*s(16,16,20)-+
t(32,32,28)c(40,32,20)s(48,24,20)*-t(40,32,20)-
s(24,24,20)s(24,32,28)c(32,48,12)-c(32,32,20)**
c(32,32,28)s(48,24,20)-c(32,16,12)+s(40,32,20)-
s(32,16,20)c(32,24,20)*c(40,24,20)*s(48,32,20)+
c(40,32,20)t(40,48,20)+s(32,24,28)*s(8,32,12)+
s(32,48,20)s(24,40,12)-s(40,48,20)s(48,48,20)**
c(24,40,20)s(32,24,28)s(32,40,28)*s(24,40,28)**
s(24,24,28)s(32,24,28)s(24,24,28)*s(40,32,28)+*
s(24,48,20)s(48,40,20)c(40,40,20)*c(48,24,12)--
c(32,32,20)s(40,40,28)c(40,32,20)*s(40,32,12)-*
t(32,48,28)s(32,24,28)c(48,24,12)s(8,40,12)++-
c(24,24,20)t(24,48,28)-t(24,40,28)-c(40,40,12)+
s(48,32,20)t(24,24,20)s(24,32,20)*c(48,32,12)+*
c(24,24,12)s(8,24,12)c(32,40,20)t(24,32,20)*++
c(40,48,12)t(24,40,28)c(32,32,20)c(24,40,12)--+
s(16,24,20)s(8,40,12)s(32,48,12)+t(48,32,12)+-
t(24,40,20)s(32,24,20)s(24,48,12)s(24,24,12)+-+
s(32,40,28)c(32,24,20)*c(40,40,12)+s(32,24,20)*
s(40,24,28)s(40,32,28)s(32,40,28)s(16,32,12)-**
s(16,8,12)c(40,24,20)s(32,32,28)*s(16,16,12)++
s(32,24,20)s(48,24,20)s(24,24,20)c(24,32,20)+--
c(24,40,20)s(32,32,28)s(24,32,28)**t(24,32,20)*
s(48,24,20)c(40,32,20)c(24,24,20)s(32,32,20)**-
s(24,40,20)c(40,40,12)c(32,32,20)t(32,24,20)-++
t(24,40,28)c(32,32,20)s(24,32,20)t(24,24,20)*--
c(32,32,28)s(24,48,20)t(40,48,20)-*s(32,40,28)*
c(32,32,20)c(40,40,20)s(40,40,28)c(32,40,20)***
s(16,8,12)s(24,40,28)+c(32,32,20)*s(32,8,12)+
s(24,40,28)s(32,40,28)*t(32,24,12)-s(32,40,20)+
t(32,32,28)s(16,32,20)-s(32,32,20)s(16,16,20)-*
t(32,32,28)c(40,32,20)*c(32,32,20)t(24,40,28)*+
s(40,32,28)s(40,32,12)-s(40,24,12)-s(40,32,20)*
s(48,32,20)s(40,40,28)c(40,24,20)s(48,16,12)-**
s(40,24,28)t(32,32,12)-s(40,24,12)-t(24,16,12)-
c(48,16,12)t(40,48,20)+s(32,24,20)s(32,40,20)--
c(40,24,20)c(24,48,12)s(40,24,28)+t(32,24,12)-*
s(32,24,28)s(16,40,20)c(24,48,12)--t(32,24,20)+
t(48,48,12)s(32,40,20)t(24,40,12)-s(16,32,20)-+
s(24,40,20)s(24,16,12)+s(32,24,20)*s(16,8,12)-
s(48,24,12)c(24,32,20)+s(24,32,12)-c(32,40,20)-
c(32,32,20)c(32,40,20)*c(32,24,20)s(16,24,20)*-
s(40,48,20)t(32,40,28)*t(32,48,28)c(24,24,20)-+
s(24,24,28)s(32,32,28)*t(24,40,28)c(32,40,20)*+
t(32,32,28)s(24,48,12)-t(40,40,20)-t(32,24,20)*
s(48,48,20)s(32,40,20)s(32,24,28)*-s(40,48,20)*
t(32,40,20)c(48,24,12)+s(40,16,20)+s(32,32,20)-
s(16,40,20)c(40,32,20)c(32,32,20)*s(32,24,28)*+
s(32,24,20)t(40,32,20)c(16,24,12)+t(32,40,12)-*
t(32,48,28)t(24,40,28)c(40,40,12)-s(32,40,28)*-
s(32,24,20)t(24,48,28)c(24,24,20)c(32,32,20)*+*
s(32,24,28)s(40,16,12)-t(32,32,28)s(32,24,20)**
t(24,32,20)s(40,40,28)c(40,32,20)s(48,24,20)**+
s(24,24,28)c(32,16,12)s(24,32,20)+s(24,24,12)-*
s(8,32,12)s(40,32,28)+s(24,24,28)-s(48,32,20)*
t(24,32,28)c(32,48,12)s(48,16,12)+s(48,24,12)--
c(24,24,20)t(24,32,28)s(40,32,20)c(40,24,20)+**
s(24,32,28)t(24,32,28)t(24,40,28)s(16,24,20)++*
s(32,40,28)s(24,48,20)-s(48,32,20)+s(40,24,20)-
s(32,24,28)s(24,16,20)s(40,32,28)t(32,40,28)*-*
s(32,24,20)s(32,16,20)s(16,16,12)-s(48,40,20)+*
t(40,48,20)s(16,24,20)s(24,24,28)c(16,16,12)-*+
s(16,16,20)s(40,40,28)s(24,16,20)-s(40,24,28)-+
s(40,24,28)s(32,32,28)s(8,48,12)s(32,24,12)+-*
s(48,24,20)t(32,40,20)c(16,48,12)t(24,48,12)+--
s(32,24,20)c(40,24,20)*t(48,32,12)-c(24,24,20)*
s(32,40,28)s(40,48,12)-s(40,32,20)s(32,32,20)**
t(32,40,28)c(40,40,20)t(32,32,28)+*s(40,48,20)*
s(48,32,20)c(40,32,12)s(48,40,20)+c(24,48,12)+*
s(40,16,12)c(32,40,20)t(40,24,20)s(32,32,28)*-+
c(32,32,20)s(32,32,28)t(24,40,12)-*s(48,24,20)*
t(32,40,28)s(24,40,20)*c(16,32,12)-s(32,16,20)-
c(24,24,12)s(40,24,20)s(24,32,20)s(16,24,20)*-+
s(24,24,20)s(32,32,28)*s(24,24,28)s(16,24,12)-*
s(24,32,20)s(8,16,12)s(32,16,20)s(24,24,12)-+-
t(16,24,12)s(40,32,20)+c(24,40,20)*t(32,40,28)*
s(40,32,28)c(32,32,20)s(40,40,12)-s(24,16,12)-*
s(24,32,28)s(32,40,28)*s(40,32,28)t(24,24,20)+*
s(32,48,12)c(24,32,20)s(32,40,20)*+c(40,24,20)-
c(24,40,20)t(24,40,28)s(32,8,12)+*s(48,16,12)+
s(32,32,28)s(16,16,20)t(24,48,28)+c(40,32,12)+*
s(24,16,20)c(32,24,20)*s(40,24,12)-s(32,32,12)-
t(32,32,28)s(24,24,20)c(24,40,20)+*c(32,24,20)*
c(32,32,20)c(32,40,20)t(40,48,12)-*s(16,40,20)-
t(32,40,20)c(48,32,12)c(16,32,12)+s(16,32,20)*-
s(40,24,28)c(32,40,20)*s(40,48,20)+t(32,48,20)-
s(40,40,28)s(32,24,28)*t(24,32,28)s(32,32,20)**
t(48,40,12)s(32,40,28)t(32,40,20)-s(16,24,20)-+
c(40,40,20)s(16,24,20)t(32,48,28)+s(40,32,20)*-
c(40,40,12)s(16,32,12)t(24,56,12)++s(40,32,20)-
t(24,48,28)s(32,48,12)-c(32,32,20)s(48,32,20)--
c(24,32,20)c(32,32,12)-c(32,16,12)-s(32,16,12)+
s(16,40,20)s(16,24,20)c(40,40,20)s(32,24,20)-+*
s(48,48,12)t(48,32,12)s(8,40,12)++s(40,48,12)-
c(32,48,12)c(48,40,12)+s(32,48,20)*t(32,48,20)*
c(40,32,20)s(32,32,20)*t(32,40,28)t(24,32,28)--
s(32,40,28)s(40,40,12)-c(40,32,12)-s(24,32,20)*
s(32,24,20)c(16,40,12)s(16,16,12)+-s(24,32,28)*
s(32,24,28)s(40,32,28)t(24,32,28)**s(32,24,20)*
t(24,48,28)t(32,16,12)s(24,48,20)+s(32,32,28)**
s(40,24,28)c(24,32,20)c(24,24,20)*t(32,32,28)**
s(24,48,20)t(32,48,28)s(32,40,20)*s(32,8,12)+-
t(32,40,20)t(24,40,20)t(40,32,20)s(48,24,12)-+*
c(24,32,20)s(40,32,20)s(48,40,20)t(24,48,28)+*-
t(24,40,20)t(24,24,20)+s(24,16,20)+s(40,32,28)*
t(32,48,28)c(24,32,20)s(24,24,28)+-s(24,48,20)+
s(24,24,20)s(24,16,20)*c(24,32,20)*s(24,32,20)*
s(32,40,20)c(40,40,20)s(48,32,20)*-t(32,48,28)*
s(16,40,20)s(40,32,28)t(24,24,20)+*s(48,48,12)+
c(32,40,20)c(40,32,20)s(24,24,20)--s(16,24,20)-
s(32,32,20)s(16,8,12)+t(32,40,28)-s(24,32,20)-
s(40,24,28)s(24,32,20)s(8,40,12)-s(32,24,28)**
s(48,16,12)c(24,48,12)+s(24,40,12)+s(48,8,12)-
s(40,24,28)s(48,24,20)t(24,32,28)-t(40,32,20)-*
c(48,24,12)s(32,40,28)c(40,40,20)*+c(24,24,20)*
t(32,32,28)t(24,32,28)t(48,24,12)s(16,48,20)+-*
s(24,24,28)c(32,32,28)*s(8,32,12)s(24,32,12)+*
s(40,40,20)c(40,40,20)s(48,24,20)c(40,32,20)*-*
c(32,16,12)s(32,8,12)+c(24,16,12)s(32,8,12)+*
s(24,40,20)c(32,40,20)s(40,48,12)-c(40,32,12)-*
s(48,32,20)c(32,32,20)s(24,40,28)*s(32,48,20)*-
t(40,40,20)c(32,32,20)c(16,40,12)-*c(16,48,12)+
s(32,40,28)c(48,48,12)-s(24,32,20)s(16,40,20)*-
s(24,32,20)s(48,32,12)s(32,24,28)s(48,48,20)-+*
c(40,24,20)t(40,40,12)-t(32,32,28)*s(24,8,12)+
t(40,40,20)c(40,32,20)t(24,40,20)s(24,32,20)*-+
t(32,40,12)s(16,48,20)t(32,32,20)-+t(24,32,28)*
s(16,48,20)s(24,48,20)s(16,8,12)+s(32,40,28)**
s(24,16,20)c(32,40,20)c(32,40,12)-s(24,32,28)*-
c(40,32,20)s(32,24,28)*s(40,48,20)s(48,32,12)+*
c(32,24,20)s(24,48,20)s(48,48,20)+t(40,24,12)+*
t(16,40,12)s(40,24,28)c(24,40,20)*+c(24,24,20)*
s(24,16,20)s(48,24,20)s(48,48,20)--s(16,16,12)-
t(32,48,20)s(16,32,20)t(32,32,28)*+s(16,16,20)-
c(40,24,20)c(24,32,20)*c(40,32,20)t(32,40,28)**
c(40,40,20)c(32,32,12)s(40,40,12)+c(48,24,12)--
s(40,16,20)s(48,24,20)+s(32,32,20)+c(32,32,20)-
s(32,40,20)s(24,40,28)s(16,48,20)*-c(24,40,20)*
s(24,48,20)t(32,48,28)+c(32,48,12)-c(32,32,28)*
s(16,16,12)s(32,24,20)t(32,32,28)*c(40,48,12)++
s(24,32,28)s(48,16,20)c(24,32,20)s(24,24,12)--+
s(24,40,28)c(40,24,20)-t(24,56,12)-t(32,40,20)-
s(40,32,20)s(40,24,12)-s(40,32,28)t(32,40,28)**
s(24,16,20)c(24,24,20)s(32,32,28)s(40,24,12)-+*
s(40,32,28)t(32,40,28)*t(32,32,28)*c(24,48,12)-
c(32,24,20)s(40,24,20)t(48,40,12)t(32,24,20)++*
s(32,32,28)c(32,32,12)-s(16,32,12)+s(40,8,12)+
t(24,32,28)c(16,32,12)-c(32,24,12)-s(24,24,12)+
s(24,16,20)c(24,32,20)s(16,40,20)*s(24,40,20)*-
s(40,32,28)s(40,24,20)-s(40,40,28)s(24,32,20)-*
c(32,32,28)c(48,24,12)-s(48,40,12)-t(32,32,28)*
s(32,40,28)s(16,24,12)-t(32,48,20)-c(24,48,12)-
s(40,40,20)s(32,40,28)c(40,24,20)s(40,16,12)-**
s(48,24,20)s(8,16,12)t(32,24,12)++t(32,32,28)*
s(48,32,20)s(32,32,20)*t(24,56,12)+s(24,24,20)-
s(24,24,20)c(32,32,20)*s(40,16,20)t(40,24,20)*-
s(24,16,20)s(16,48,20)c(24,32,20)*+t(32,32,28)-
c(32,40,20)t(16,48,12)-s(24,48,12)-c(24,24,20)*
t(32,40,20)t(24,32,12)s(8,48,12)t(40,48,12)+++
s(40,32,28)c(24,40,12)-c(32,32,20)t(48,24,12)--
t(24,32,28)t(32,56,12)s(24,24,20)+s(24,40,20)**
s(24,32,20)s(32,32,20)*s(24,32,20)s(16,40,12)-*
s(32,32,20)s(24,48,12)-c(16,16,12)c(32,40,12)++
s(40,32,28)c(32,40,20)t(32,32,20)-t(32,40,20)--
s(48,32,20)c(40,32,12)-t(40,24,20)+s(40,32,20)*
c(40,32,20)s(40,16,20)-c(32,40,20)*s(32,32,20)*
s(24,32,28)s(32,40,28)t(32,48,28)s(16,48,12)-**
c(48,24,12)t(32,40,28)c(24,32,20)s(32,32,20)**+
s(40,32,28)s(32,24,28)*t(24,32,12)-t(32,40,28)*
t(24,48,28)c(40,48,12)-c(40,48,12)+c(32,32,28)*
c(24,40,20)c(32,32,20)t(32,48,28)s(40,48,20)*+*
s(24,48,20)s(32,32,20)-s(32,32,28)s(32,48,20)+*
c(40,40,20)t(24,24,20)s(32,40,28)s(40,24,28)*+*
c(32,32,20)c(16,40,12)-s(32,40,28)s(40,16,20)-*
s(40,32,28)s(40,24,28)t(24,16,12)-*t(32,32,20)*
s(32,32,20)t(32,40,28)t(32,48,12)-*t(40,32,12)-
s(40,24,28)s(48,24,20)-t(32,24,20)s(16,24,12)--
c(32,32,28)s(40,40,28)t(40,40,20)t(32,40,28)*-*
s(40,16,20)c(48,32,12)-c(40,24,12)-c(48,48,12)+
s(16,48,20)c(32,32,28)c(48,32,12)-s(16,32,12)--
s(32,40,28)s(40,40,20)s(16,32,20)t(24,24,12)--*
s(24,40,28)t(32,40,28)s(32,24,20)t(32,32,20)*--
s(32,24,12)t(32,24,20)s(24,32,28)s(16,40,20)*-+
s(32,32,20)s(24,24,28)s(24,32,28)s(40,48,12)-**
s(48,32,20)c(32,32,12)+s(32,16,20)-s(40,32,28)*
t(24,40,28)s(32,32,28)s(48,32,12)-s(48,48,20)--
s(48,24,20)s(48,24,20)s(48,40,20)*s(8,24,12)+*
s(40,40,28)s(32,32,28)+s(24,48,20)*s(24,32,28)*
s(24,32,28)c(40,24,20)c(16,48,12)+s(32,40,20)*-
s(32,32,20)c(24,24,20)*t(40,48,12)+s(32,48,20)*
c(16,40,12)t(32,40,28)t(16,16,12)++t(24,40,28)*
s(24,32,20)c(32,24,20)t(32,40,28)s(40,40,28)*--
c(32,40,20)s(40,32,28)*c(32,24,20)c(48,16,12)-*
t(24,40,20)t(24,24,20)-s(16,40,20)s(16,24,20)*+
c(24,24,20)s(16,16,20)s(40,24,28)s(32,24,28)*--
s(24,24,28)s(16,24,12)c(32,40,20)s(48,32,20)*+*
s(48,40,20)t(40,40,12)-c(24,40,20)+s(8,40,12)-
c(32,32,28)s(24,24,28)s(40,24,28)s(32,32,20)**-
s(40,16,20)t(40,32,20)-s(24,8,12)-c(24,16,12)-
t(24,40,28)c(32,24,20)s(40,32,20)*-c(16,24,12)-
s(32,48,20)c(24,40,20)s(24,24,20)s(32,24,20)*-*
c(32,32,20)t(32,56,12)t(32,40,28)s(40,32,28)*+*
t(24,48,28)s(24,32,28)s(32,32,28)*t(32,16,12)-*
s(24,32,28)t(40,40,12)-s(24,40,20)*t(24,40,20)*
s(48,32,20)t(48,32,12)s(40,40,20)s(24,32,28)*+-
s(24,24,28)c(40,24,20)c(32,16,12)--s(24,48,20)-
s(32,16,20)s(48,16,12)-s(32,40,28)+s(40,32,28)*
s(40,24,28)s(32,24,28)*s(40,16,20)t(40,24,20)+*
s(32,24,20)c(24,24,20)c(32,24,20)*c(16,40,12)-*
s(24,16,12)c(32,40,20)s(32,24,20)-+s(16,48,12)-
c(32,24,20)s(40,16,20)-s(24,40,20)c(40,40,20)--
s(40,24,20)c(24,32,12)s(48,40,12)s(48,24,12)++*
s(40,24,28)s(32,40,28)s(40,32,28)*t(48,24,12)--
s(32,40,28)s(32,32,20)c(24,24,20)*c(24,40,20)*-
c(40,24,20)s(24,24,28)*s(24,40,28)s(16,16,12)+*
s(40,32,20)c(24,40,20)s(24,32,20)s(32,48,20)+**
s(32,24,28)c(40,32,20)+s(32,32,28)c(32,32,12)--
s(40,24,20)c(24,16,12)-s(24,24,28)t(32,32,20)--
s(24,32,20)t(16,24,12)-s(16,24,20)s(16,40,20)*-
s(40,32,28)t(40,16,12)-s(40,24,20)*s(16,24,20)+
s(24,40,20)c(24,40,20)t(40,32,20)s(8,16,12)+-*
t(32,56,12)s(16,24,20)+s(24,24,28)*s(16,16,20)*
c(40,24,20)s(40,40,28)*s(24,16,20)s(32,48,20)+*
t(24,24,20)t(24,32,28)s(32,40,20)s(48,24,20)-*-
s(24,16,20)c(24,32,12)-c(32,40,20)s(16,40,20)+-
t(32,40,28)t(24,40,28)c(40,40,20)s(40,32,28)+**
c(40,40,20)t(24,32,28)s(16,32,20)s(24,24,28)**+
s(32,40,20)c(32,40,20)s(16,24,12)+s(32,32,28)**
s(24,24,28)t(24,16,12)-s(40,32,12)-s(24,32,28)*
s(32,16,20)t(24,16,12)s(32,24,20)t(24,32,20)-+*
t(32,56,12)t(16,16,12)t(40,32,12)++s(24,24,12)-
c(24,24,20)s(16,16,20)c(32,24,12)-c(32,40,20)+*
s(32,24,28)s(24,40,12)-s(48,24,12)s(40,32,12)+-
t(40,32,20)s(40,24,20)t(24,40,28)-+t(40,24,12)-
s(24,40,12)t(24,48,20)s(16,32,12)-+c(32,40,20)*
c(32,40,20)s(16,40,20)-s(32,48,20)c(16,32,12)-*
t(32,40,28)s(40,32,20)s(48,40,12)--s(40,32,20)-
s(16,48,20)s(24,48,20)s(40,32,28)+s(48,48,20)-*
t(32,40,28)c(16,40,12)+t(40,32,12)-s(32,40,20)*
s(40,24,28)s(24,40,28)*t(32,24,20)c(40,48,12)+*
c(40,32,20)s(40,32,28)s(40,24,20)-s(40,40,28)**
s(24,40,28)c(32,24,20)*t(24,32,28)s(24,24,20)**
s(40,32,28)s(24,16,12)-s(32,24,28)s(24,32,28)**
s(48,24,20)s(24,40,20)+s(24,8,12)+c(16,24,12)-
s(32,32,28)s(24,32,20)c(32,48,12)-t(32,32,28)*-
s(24,32,28)c(32,40,20)c(16,48,12)-*c(40,40,20)*
s(24,40,28)s(16,40,20)-t(24,32,20)-s(48,24,20)-
t(40,32,12)t(32,32,28)s(24,24,28)*s(48,16,20)-+
s(32,32,28)s(32,40,28)c(40,24,20)--t(24,32,28)-
s(24,24,28)s(24,48,20)-s(24,40,12)c(16,40,12)++
t(24,48,20)s(16,24,20)+s(24,40,28)s(48,48,20)-*
s(32,40,28)c(40,24,20)s(40,32,28)*s(24,48,20)-*
s(48,32,20)s(40,32,20)c(32,16,12)-*s(32,8,12)+
s(40,24,20)s(32,24,28)t(24,24,20)-*t(32,24,12)-
s(8,16,12)s(32,40,20)+t(40,48,20)-c(32,48,12)-
c(32,32,28)t(24,48,28)c(24,24,20)-c(24,40,20)*-
s(24,24,20)c(48,48,12)+s(48,40,12)-c(24,40,20)*
t(32,32,12)s(40,24,20)c(32,40,12)-s(40,32,12)-+
s(40,24,28)t(48,32,12)t(32,40,28)c(40,24,20)*+-
s(32,24,20)s(32,32,20)*s(32,48,20)+s(40,40,20)*
s(32,32,20)s(40,48,20)s(32,32,20)t(24,48,20)-+*
c(40,48,12)s(48,48,20)s(48,32,20)t(32,40,12)+*+
s(32,24,20)t(24,32,28)s(40,16,20)+s(24,40,20)-+
t(24,48,28)t(24,40,28)t(32,48,20)+c(24,48,12)-*
s(24,32,20)c(24,16,12)s(8,24,12)c(40,24,12)++*
s(32,24,28)s(40,32,20)c(24,32,12)+t(32,40,20)--
t(32,48,28)c(32,24,12)+s(24,40,28)c(24,32,20)**
t(24,32,20)s(32,24,28)t(24,32,28)*c(24,40,20)**
s(40,24,20)s(24,32,20)s(32,24,20)+*c(24,32,20)*
s(48,40,20)s(32,48,20)s(48,48,20)+t(24,40,28)*-
s(32,16,20)c(32,24,12)-s(16,24,20)s(16,32,20)*+
s(16,16,20)s(48,16,20)+s(32,24,28)*s(32,16,20)*
c(32,24,20)c(40,32,20)s(8,16,12)+*s(16,24,20)-
t(24,32,28)s(40,32,28)*c(32,24,20)t(24,40,28)**
s(16,40,20)t(24,32,28)t(40,48,20)-s(16,16,12)-*
s(40,40,28)c(32,32,28)c(32,32,20)t(40,32,20)--*
s(40,48,20)c(40,40,20)+s(32,24,28)s(32,8,12)-*
s(24,40,28)s(8,24,12)-c(40,32,20)*t(32,40,20)*
s(24,40,28)s(24,32,20)s(8,32,12)+s(48,32,20)-*
c(24,24,20)s(40,40,28)s(40,32,28)*c(24,32,20)**
s(32,32,28)s(24,48,20)+s(48,32,20)-s(32,48,12)-
t(24,24,20)c(40,24,20)s(24,32,28)t(24,48,20)-*+
s(40,24,28)s(40,40,28)*s(40,32,28)s(24,48,20)-*
s(32,24,28)s(48,40,20)c(40,32,20)*-t(24,40,20)-
s(24,32,28)s(32,24,28)*s(40,24,20)s(8,8,12)+*
s(32,24,28)s(40,40,28)t(40,48,12)-c(40,24,20)**
s(40,32,28)c(48,24,12)-s(40,32,28)s(32,32,28)**
s(24,48,20)t(40,24,20)c(40,24,20)s(32,24,20)**+
t(32,32,20)s(48,40,12)+s(16,32,20)c(32,24,12)--
c(32,40,20)s(40,32,28)*t(32,32,28)s(24,24,28)**
s(32,48,20)s(24,40,28)*t(32,40,28)c(32,32,20)**
c(32,32,28)s(24,24,20)s(16,32,20)--c(24,40,20)*
s(48,48,20)s(24,48,12)t(48,32,12)+s(48,24,12)--
c(40,32,20)c(48,32,12)-t(40,40,12)-t(32,40,28)*
c(24,32,20)s(40,32,28)s(24,32,28)*s(40,40,20)**
s(48,32,20)c(24,24,20)c(32,24,20)*s(32,32,20)+-
s(16,32,12)t(40,24,20)+s(24,32,12)-s(32,8,12)+
t(24,32,28)c(32,32,20)*t(24,32,28)s(24,24,28)**
s(40,24,28)s(48,48,20)t(32,56,12)--s(32,24,28)*
s(40,32,28)c(32,32,20)s(32,40,28)t(24,40,20)-**
t(24,32,20)s(48,32,20)s(16,40,20)+s(32,48,20)-+
t(32,24,20)s(32,40,28)*s(24,24,28)c(32,32,12)-+
s(24,24,20)s(16,16,20)c(32,32,28)c(48,24,12)-**
c(40,24,20)s(8,32,12)s(24,24,20)s(32,32,28)*+*
t(24,40,28)c(16,40,12)-s(16,24,20)s(24,8,12)--
t(24,40,20)s(32,16,20)s(24,24,20)*+t(24,48,28)*
c(40,40,20)s(24,40,28)s(16,48,12)-s(24,32,20)*-
c(24,32,20)c(24,40,20)s(32,16,20)-*t(24,40,28)*
c(32,32,28)c(24,16,12)s(40,48,20)+*t(24,40,28)-
s(48,40,20)s(48,48,20)s(48,40,20)*s(40,16,12)+*
s(40,40,12)t(32,40,28)s(24,40,20)t(24,40,28)**+
t(24,40,28)c(40,24,20)t(32,24,20)--t(24,32,20)*
c(24,32,20)s(16,40,20)+s(16,40,20)s(8,16,12)+*
s(40,16,20)s(40,48,20)s(40,32,28)+s(16,16,20)-*
s(24,48,20)s(24,32,28)s(24,48,20)*t(32,40,20)+*
c(40,16,12)t(24,40,28)+s(24,40,20)c(24,24,20)**
s(24,8,12)s(48,16,20)s(24,24,20)-s(40,40,20)-+
c(24,32,20)c(24,40,12)-s(24,24,20)*t(40,56,12)+
s(24,40,20)c(24,40,20)t(32,40,28)s(24,48,20)+**
s(40,16,20)t(32,32,28)t(40,24,12)s(40,48,20)+--
c(24,40,20)s(24,48,20)+t(40,24,20)-s(32,32,20)*
s(32,24,28)t(40,40,20)s(40,32,20)+*t(40,16,12)-
s(32,32,28)s(48,40,12)-t(32,40,20)-s(24,40,28)*
s(24,24,20)s(24,32,20)*s(32,24,20)*c(24,32,12)+
s(24,24,12)s(16,48,20)+c(32,32,20)t(16,40,12)--
s(32,32,28)s(32,16,20)s(32,48,20)+*s(40,24,28)*
t(24,48,20)s(24,32,20)s(40,32,20)s(24,32,20)*--
c(32,40,20)t(40,56,12)-c(48,40,12)-s(32,24,12)-
s(48,40,20)s(40,40,28)s(32,24,28)*s(40,40,12)--
s(32,48,20)c(24,40,20)t(24,40,20)-t(24,24,12)--
s(32,32,28)s(24,24,20)c(24,32,20)*-c(48,40,12)-
s(40,40,20)s(16,24,20)+s(24,16,20)*c(40,40,20)-
c(24,32,20)s(40,24,20)+c(48,32,12)s(32,16,20)+*
t(24,48,28)s(24,32,20)s(24,40,20)c(40,40,20)+*+
s(24,32,20)s(16,40,20)c(32,24,12)+c(24,16,12)-*
s(40,24,20)c(32,32,28)s(48,16,20)c(40,24,20)***
s(40,24,28)s(48,32,12)-s(32,16,12)-t(40,16,12)-
c(32,32,28)s(40,40,28)-s(24,48,20)c(32,48,12)--
s(48,32,20)c(32,32,20)t(24,24,12)-s(24,24,28)+*
s(32,16,12)s(16,24,12)t(40,56,12)++s(32,24,28)*
s(32,40,28)s(24,32,20)s(16,48,20)s(16,40,20)*-*
s(32,48,20)t(32,32,28)s(40,32,20)s(32,24,28)**-
c(32,32,20)s(40,16,12)s(32,32,20)+s(48,40,20)--
c(40,32,20)s(48,24,20)*c(24,32,20)c(24,32,12)--
s(16,16,20)s(40,40,20)+s(32,40,28)*c(40,32,20)*
s(16,32,20)s(24,32,20)c(16,48,12)-s(48,8,12)+*
c(32,24,20)c(48,24,12)-c(24,40,12)s(40,16,20)+*
c(32,24,20)s(40,24,20)s(32,32,20)s(40,24,12)---
s(40,32,28)c(32,32,20)s(16,32,20)+t(24,40,28)+*
c(32,32,20)t(40,16,12)-t(24,32,28)*t(48,56,12)+
s(32,40,28)s(32,48,20)t(40,48,20)*s(48,8,12)+*
s(32,40,28)s(48,24,12)-t(40,48,20)-s(40,24,20)+
t(40,32,20)t(24,48,28)s(48,32,20)c(32,32,20)*+*
s(24,24,28)c(32,24,20)*s(24,32,12)-c(24,32,12)-
c(32,24,20)t(24,24,12)-c(40,32,20)+c(32,40,20)*
c(24,40,20)s(24,32,20)s(16,24,20)+s(32,24,28)**
t(32,32,28)t(40,40,12)-s(24,48,12)-c(40,24,20)*
s(16,32,20)c(24,32,20)*s(24,32,28)t(24,40,28)**
t(24,24,20)t(32,40,28)c(24,40,20)*t(40,32,12)--
s(24,48,20)s(24,32,28)*s(32,40,20)s(24,32,28)**
s(32,32,28)c(32,24,20)*s(32,16,20)s(32,24,20)**
c(32,40,20)s(32,48,20)c(24,16,12)+s(24,24,28)*+
s(40,48,12)s(16,24,20)+c(32,32,20)s(40,48,20)*+
s(40,48,20)c(32,24,20)c(40,40,20)*c(40,24,20)*+
s(24,24,28)c(24,32,12)s(8,24,12)+c(48,24,12)+*
t(32,32,28)s(40,32,20)c(32,32,12)-+c(24,40,20)*
s(40,24,28)s(40,32,12)-s(40,16,20)t(40,24,20)*-
c(24,40,20)c(40,48,12)+s(40,32,20)s(24,40,28)*-
s(40,40,28)t(48,32,12)-s(40,24,28)*c(48,48,12)-
s(40,40,28)c(24,16,12)t(32,24,20)t(40,16,12)-+-
c(24,40,12)c(48,16,12)c(48,40,12)+c(40,32,20)++
s(32,48,20)t(16,56,12)c(32,16,12)+-c(32,24,20)-
s(40,40,28)s(24,40,28)t(24,32,28)t(32,48,20)-*+
s(16,40,12)t(24,32,20)+s(32,40,28)*t(48,32,12)+
s(32,32,28)c(24,24,12)-t(32,40,28)s(24,40,28)**
s(16,16,20)s(32,32,20)s(48,24,20)-s(24,24,28)*-
c(24,24,20)s(16,24,12)s(40,32,12)+*c(32,24,12)+
s(32,32,20)s(32,24,20)s(16,32,20)t(24,40,28)*+*
s(16,16,20)s(32,32,28)s(32,32,20)t(24,40,28)*--
s(32,40,20)s(24,40,28)c(40,40,20)**c(40,32,20)*
s(32,40,20)s(32,24,28)s(40,40,28)*t(24,32,28)**
t(24,40,28)s(24,32,28)*c(32,32,20)c(16,24,12)++
c(32,32,28)s(16,48,20)t(24,32,12)++c(40,40,20)-
s(32,24,20)t(32,32,20)*t(40,32,12)+t(24,48,12)+
s(24,32,20)c(32,32,20)*s(40,32,28)*s(40,40,12)-
c(40,32,20)s(32,32,20)c(24,32,20)**c(40,24,20)*
c(32,24,20)s(48,24,20)c(32,32,28)t(40,48,20)-**
s(48,24,20)c(40,32,20)s(24,24,28)t(24,24,20)--*
s(40,40,28)s(32,24,20)c(40,24,20)s(24,32,12)-*-
s(32,24,20)s(24,40,28)c(32,32,20)*+t(40,40,20)*
s(40,24,20)s(48,24,20)t(32,40,28)t(40,48,12)--*
c(24,24,20)s(32,32,12)-t(32,32,20)-s(8,40,12)+
s(32,40,28)t(32,48,28)c(16,40,12)+*s(32,40,20)*
c(48,16,12)s(24,40,20)s(48,40,12)++t(40,40,20)-
t(32,40,28)t(24,48,28)s(24,40,20)**c(24,32,20)*
c(40,40,20)t(48,40,12)-s(40,48,20)-s(48,48,12)+
c(32,40,20)s(16,24,20)s(24,48,20)t(24,32,12)++*
s(32,32,20)s(40,24,28)s(48,16,12)-c(32,32,28)**
s(32,16,20)c(40,48,12)+c(32,24,12)-s(40,48,20)*
c(24,24,20)c(40,24,12)-s(32,24,28)*t(16,40,12)-
t(32,32,28)s(32,40,28)*s(48,40,20)-s(24,24,20)+
s(32,32,28)s(16,32,20)t(32,40,20)s(40,48,20)+--
c(32,40,20)c(24,24,20)-s(24,24,28)s(40,32,20)-+
t(40,48,20)s(48,16,20)+s(24,24,28)-c(32,32,28)*
t(32,48,28)t(32,40,28)s(40,32,28)**c(40,32,20)*
t(24,24,20)t(32,32,28)c(48,24,12)s(24,40,20)++*
c(48,16,12)c(32,24,20)s(32,32,20)*+t(24,40,12)-
s(32,32,20)c(40,40,20)s(24,24,20)-t(32,48,28)+*
t(24,24,20)t(24,40,20)+c(24,40,20)t(40,40,12)-*
c(24,24,20)s(32,24,28)t(24,48,28)+s(24,48,12)-*
s(32,32,20)c(32,32,20)t(48,40,12)-t(40,24,12)-*
t(32,40,28)s(16,16,12)+c(32,32,20)*t(40,32,20)-
s(24,16,20)s(40,24,28)s(32,40,28)*-t(24,40,28)-
c(40,40,20)s(40,24,28)c(24,32,20)+*s(24,32,28)*
t(24,40,28)s(8,32,12)+c(32,24,20)t(24,32,28)**
s(16,16,20)s(40,16,12)s(24,16,20)+s(48,16,12)-*
s(40,48,20)s(24,32,20)t(24,40,28)*+t(40,40,20)*
s(32,40,28)t(24,32,28)c(40,40,20)s(32,40,28)*+*
s(40,32,20)s(40,48,12)+s(40,24,20)*s(24,32,28)*
s(24,40,28)s(24,32,20)s(16,40,20)t(32,40,28)*-*
s(24,24,20)s(8,32,12)-s(32,40,12)-c(24,24,12)+
s(24,40,28)t(40,48,20)t(40,40,20)+-t(24,48,28)*
c(24,24,20)s(32,40,20)+c(32,24,20)*s(40,32,20)*
s(40,48,20)t(24,48,28)*c(48,48,12)+s(16,8,12)+
s(24,24,28)s(40,16,20)c(40,24,20)t(48,16,12)-**
s(40,24,20)s(32,16,20)*s(32,32,28)s(16,32,12)-*
t(32,24,20)s(24,24,20)c(32,40,12)+*s(48,48,20)+
c(40,24,20)s(48,40,20)-s(40,32,28)*s(24,48,20)-
c(32,32,12)s(24,48,20)+c(32,16,12)+s(40,40,28)*
t(24,32,20)s(24,40,20)s(24,32,20)**t(32,48,28)+
s(40,40,28)s(32,32,28)*c(32,24,20)*c(24,24,20)*
t(24,48,20)c(24,40,20)c(40,48,12)+c(32,40,20)**
s(32,24,20)c(16,16,12)-c(32,32,28)s(32,16,20)**
t(32,40,28)s(40,24,28)*t(24,48,28)+c(32,32,20)*
s(24,24,20)c(24,24,20)t(24,32,28)*s(16,24,12)-*
s(40,32,28)c(48,16,12)s(24,40,28)+*s(32,24,20)*
s(24,32,20)s(24,24,20)*s(24,40,28)*s(48,24,20)-
c(24,24,20)s(40,32,28)s(24,32,28)*s(40,32,12)-*
c(40,24,20)c(40,32,20)s(40,24,28)c(32,32,20)**-
c(40,40,20)t(40,48,20)t(24,48,12)+t(32,48,28)**
c(32,40,20)s(32,40,12)-s(32,32,12)-c(40,16,12)+
s(32,40,20)s(32,32,28)s(16,24,20)-+s(40,24,28)*
s(24,24,28)c(32,32,28)s(32,16,20)s(40,16,20)**-
c(24,32,20)s(16,40,20)-s(40,16,12)+s(40,24,20)*
s(40,40,20)c(48,40,12)s(48,16,12)+s(40,16,12)--
s(40,40,28)t(32,48,12)c(40,24,20)+*s(32,40,20)*
s(48,40,20)t(32,32,28)s(40,16,20)s(32,24,28)+*-
t(32,32,20)t(24,48,20)s(16,48,20)*+s(40,32,20)*
c(40,32,20)t(48,24,12)-t(32,40,20)*t(16,24,12)+
c(48,24,12)s(32,40,28)+s(48,32,12)-s(48,32,12)+
s(24,32,20)s(16,8,12)+c(32,40,20)c(40,24,12)+-
c(24,32,20)c(32,40,20)*c(32,32,28)s(32,16,20)-*
s(24,40,28)s(40,32,20)s(24,8,12)t(32,32,20)+*-
s(16,40,20)t(32,40,28)*s(40,24,20)+s(32,40,20)*
s(32,24,20)s(24,24,28)s(32,40,28)c(40,32,20)**-
t(16,48,12)s(32,40,20)+s(24,24,28)t(32,32,20)--
c(32,32,28)s(16,40,20)*c(32,24,12)+s(24,16,20)-
c(32,24,20)c(32,32,20)*s(40,40,20)*s(16,24,12)+
c(40,32,20)s(32,40,20)s(16,32,20)+c(32,24,12)-*
c(16,48,12)c(40,40,20)t(24,40,28)*t(32,40,20)*+
s(40,48,12)c(40,40,12)+s(40,48,20)s(24,40,12)-+
s(16,40,20)t(32,40,20)-c(32,32,28)s(32,16,12)-*
t(32,32,20)s(24,40,28)s(24,32,28)**c(48,32,12)+
t(24,32,28)s(24,48,12)-s(24,32,28)c(24,24,12)-*
c(24,24,12)t(40,40,12)c(24,32,20)t(32,48,28)-++
s(24,24,28)s(40,40,20)-s(40,24,28)+s(16,48,12)+
c(40,24,20)t(40,40,20)-c(32,32,20)c(48,16,12)+*
s(16,16,20)s(24,40,28)t(48,48,12)+c(40,32,20)--
s(40,40,28)s(32,32,28)s(48,32,20)c(32,32,12)---
s(32,32,28)s(24,48,20)t(32,32,12)--s(40,32,20)*
c(40,24,12)s(24,32,28)s(40,32,20)s(48,16,12)--+
c(40,32,20)c(32,32,28)s(16,48,20)-s(32,32,20)**
s(24,32,20)s(8,40,12)-c(24,16,12)+s(40,16,12)-
s(40,40,20)t(24,40,28)*c(32,16,12)+c(32,40,20)*
s(24,32,20)t(24,32,28)t(32,24,20)s(32,16,20)*-+
c(24,40,20)s(24,48,20)t(32,24,20)s(32,40,28)*+*
s(48,24,12)s(32,40,28)s(40,48,20)*c(40,32,20)*+
t(32,32,28)s(24,32,12)t(24,56,12)+-c(40,24,20)+
t(16,24,12)c(40,32,12)+c(24,40,12)-c(48,24,12)+
c(16,24,12)t(32,32,28)+s(32,48,12)+s(24,16,20)+
s(32,32,12)s(24,32,28)s(48,16,20)+c(32,24,20)-+
t(24,56,12)c(40,40,12)s(48,40,12)++s(48,32,12)-
s(40,48,20)t(24,56,12)t(32,40,20)+s(8,40,12)++
s(32,16,20)c(16,40,12)t(48,16,12)t(40,56,12)++-
t(24,16,12)c(40,32,20)+c(24,40,12)s(16,40,12)++
s(40,32,20)s(32,40,20)+s(48,24,12)c(32,48,12)+-
s(24,24,12)s(48,24,12)+c(32,48,12)+s(24,48,20)-
s(40,24,28)s(24,8,12)c(16,32,12)+s(16,24,20)+-
s(40,24,28)c(16,16,12)s(32,16,12)s(24,24,12)++-
t(32,40,20)s(48,16,12)+t(40,40,20)+t(32,24,12)+
s(32,48,20)s(24,40,28)+t(40,56,12)-c(32,24,20)*
s(40,32,20)t(32,32,20)c(24,24,20)*+t(48,24,12)-
s(24,32,20)s(24,16,12)-c(24,24,12)t(32,24,12)+-
c(48,32,12)s(16,32,20)+t(40,24,20)-c(32,32,12)-
c(40,40,20)s(32,24,28)-s(24,8,12)+s(32,32,28)+
c(32,40,20)t(24,48,28)s(16,48,12)--t(40,32,20)+
t(24,24,20)t(48,48,12)+c(48,40,12)s(16,40,20)+-
s(8,40,12)t(48,32,12)t(32,40,20)+t(40,24,12)-+
s(32,40,12)s(24,40,20)s(32,32,12)s(32,40,12)+-+
c(24,24,20)s(16,40,20)+t(40,32,20)-s(32,40,20)-
s(24,24,20)s(16,24,20)t(16,48,12)++s(32,48,12)+
c(24,48,12)s(32,48,12)+c(24,32,20)s(16,8,12)++
c(24,32,20)s(8,40,12)c(48,40,12)+-s(40,32,12)-
c(32,32,12)c(32,24,12)+s(40,16,20)s(32,32,12)++
s(8,24,12)s(48,8,12)+c(32,16,12)+s(32,16,20)-
s(24,48,12)c(40,48,12)+s(48,24,20)s(40,16,12)-+
t(48,24,12)s(24,24,20)s(40,40,12)++c(24,32,20)-
s(40,16,20)t(24,40,20)+t(16,40,12)s(32,40,12)+-
t(24,32,28)s(48,48,12)+s(8,24,12)t(24,48,20)++
c(16,32,12)s(32,16,20)+t(40,24,12)s(16,16,20)++
s(32,24,12)t(24,48,28)+s(32,48,20)t(48,48,12)+*
c(48,16,12)t(40,40,20)s(32,32,12)++t(32,40,28)+
c(40,24,20)t(40,56,12)t(24,40,28)++s(32,24,28)*
s(24,24,28)s(40,48,20)-t(32,40,12)+s(24,24,12)-
t(40,32,12)c(16,32,12)+s(16,40,12)-s(32,48,12)+
s(24,40,28)s(24,16,12)+c(40,32,20)-c(32,40,12)+
c(32,16,12)t(40,48,12)+s(40,8,12)s(48,32,20)++
t(24,48,20)s(24,24,28)s(24,40,12)-s(24,32,12)+-
s(24,48,12)s(32,24,12)s(16,8,12)+s(32,16,12)-+
s(48,32,20)t(40,32,20)s(48,48,12)+*t(16,40,12)+
s(24,48,20)s(24,32,28)s(40,40,28)*-t(24,32,28)+
s(24,40,28)s(16,32,12)s(48,24,12)t(32,40,12)++*
s(24,24,12)t(32,48,28)s(40,24,12)+t(40,40,12)-+
t(40,56,12)s(32,24,28)c(24,40,20)-+s(48,24,20)*
s(24,32,28)c(40,40,20)s(32,40,20)**s(40,16,20)+
c(32,32,20)s(48,24,20)t(40,24,12)-t(32,40,12)+*
s(40,24,20)s(48,48,20)s(16,32,20)s(24,8,12)++-
s(32,24,20)c(32,40,20)*t(40,24,12)t(24,24,12)++
t(40,24,12)c(24,24,12)s(16,8,12)t(16,56,12)+++
s(32,24,28)t(24,48,28)+s(16,24,20)t(32,40,28)+*
s(24,48,12)c(40,48,12)t(32,48,20)++s(24,24,20)+
s(40,32,28)s(16,32,20)s(32,24,20)++s(40,24,28)-
c(24,32,20)s(40,24,20)+t(24,40,28)t(32,48,28)++
t(48,32,12)c(24,32,20)t(32,24,20)*t(24,32,12)++
s(32,48,20)t(40,48,12)s(40,32,20)++t(32,48,28)-
t(24,32,28)s(32,32,20)s(24,24,20)c(40,32,20)---
s(48,32,20)t(32,48,28)t(48,32,12)+s(48,40,20)+*
s(16,16,20)t(32,24,12)c(16,24,12)+-s(16,16,12)+
t(40,40,20)c(24,48,12)-c(24,48,12)+s(48,32,12)+
t(24,24,20)c(24,24,20)s(16,16,20)-+t(16,32,12)-
c(40,40,20)c(16,24,12)c(24,24,12)+t(48,24,12)+-
t(40,32,20)s(40,16,20)+t(16,48,12)c(32,40,12)+-
c(16,24,12)c(24,40,12)+s(24,48,20)t(32,48,20)++
s(48,40,20)t(24,24,12)+s(24,48,20)+s(16,32,20)*
c(48,24,12)s(48,32,12)t(40,40,12)++t(40,16,12)+
c(48,32,12)s(48,40,20)s(32,24,20)-c(16,40,12)++
s(32,16,20)s(40,48,12)+s(40,48,20)+t(24,24,20)-
c(24,24,20)t(24,40,20)+s(40,16,20)-t(16,16,12)-
c(24,40,20)t(40,16,12)s(24,32,12)c(32,40,12)+++
c(32,32,20)c(32,16,12)s(40,8,12)++c(24,32,12)-
c(16,40,12)s(8,16,12)+t(32,24,12)t(24,24,12)++
s(24,24,28)s(16,16,20)s(32,16,12)-+t(24,48,28)-
t(32,40,28)c(32,24,20)s(32,48,12)t(40,48,12)+++
s(24,32,28)s(48,24,20)s(40,24,20)*+s(8,40,12)-
c(40,32,20)t(40,48,20)+s(8,24,12)s(48,40,12)+-
t(40,24,12)c(32,32,12)+c(48,16,12)-s(8,24,12)+
s(16,40,12)s(40,48,20)t(32,48,20)t(32,16,12)+*+
t(24,24,12)c(40,16,12)t(40,40,20)++t(32,24,12)-
s(40,8,12)c(32,32,20)s(16,40,12)-+s(48,24,20)+
s(16,24,12)c(32,40,12)+s(40,40,12)+s(40,48,20)-
t(16,48,12)c(24,24,12)s(8,32,12)++c(24,24,12)-
s(48,8,12)t(40,48,20)s(24,48,12)+s(16,48,20)++
c(40,32,20)c(48,32,12)-t(40,32,12)s(16,16,20)++
t(24,40,12)t(48,24,12)s(48,8,12)+s(16,16,12)++
s(48,24,12)t(48,48,12)+c(24,40,20)s(8,48,12)++
s(32,16,20)c(32,16,12)t(24,56,12)++s(16,16,12)-
t(24,32,20)c(32,24,12)+t(16,48,12)+c(32,40,20)+
s(16,8,12)c(40,32,20)+c(24,40,12)+t(32,32,28)*
s(24,32,20)s(8,32,12)s(32,48,20)s(48,48,20)++-
c(40,32,12)s(32,24,12)t(32,32,12)t(24,48,28)+++
c(32,16,12)s(40,24,20)+t(40,48,20)t(40,16,12)+-
s(24,16,20)s(48,48,20)+c(40,40,20)+t(24,32,28)*
s(24,16,20)s(8,24,12)+s(32,40,12)+t(40,48,20)+
s(48,16,20)s(24,40,28)s(32,32,12)t(40,40,20)++-
c(48,40,12)t(24,48,20)+s(48,8,12)t(32,48,20)++
s(48,40,20)t(24,24,20)t(32,40,28)+s(8,40,12)++
s(32,40,20)s(24,16,20)+s(8,40,12)+t(40,48,20)-
s(32,40,20)s(48,40,20)s(24,16,12)+t(32,48,12)+*
t(24,40,28)s(32,16,12)+c(16,16,12)t(32,48,12)++
s(24,48,12)c(48,48,12)+t(40,32,20)s(48,24,12)++
t(24,40,28)s(48,32,20)c(40,40,20)+s(32,48,20)*+
c(16,32,12)t(32,56,12)s(48,16,20)+t(32,48,28)++
s(40,32,20)s(16,24,20)c(48,32,12)+s(8,16,12)-+
c(16,40,12)s(40,32,20)+t(16,48,12)t(32,56,12)++
s(40,24,28)t(40,56,12)c(16,40,12)s(8,40,12)+++
c(24,48,12)s(48,40,12)s(32,40,20)++t(24,40,20)-
c(40,24,20)s(8,24,12)+s(40,24,28)*t(40,32,12)-
t(24,24,20)s(40,24,20)c(24,24,12)s(48,32,20)+*+
s(24,24,20)c(32,40,20)s(40,16,20)+*s(48,32,20)+
c(32,24,12)s(24,16,20)t(48,48,12)c(32,24,20)+*+
t(40,56,12)s(24,24,20)s(32,40,12)+c(32,40,12)-+
s(32,40,12)c(16,16,12)+s(48,48,20)s(32,24,12)++
s(40,40,28)s(16,32,12)c(32,32,12)t(24,56,12)++-
t(48,32,12)c(32,24,12)s(24,32,28)s(32,32,12)-++
s(8,48,12)s(40,40,28)+s(40,24,28)-s(8,40,12)+
t(32,40,28)s(40,24,28)c(32,24,12)t(32,40,12)+--
s(24,24,28)c(32,40,20)-t(24,56,12)s(32,24,12)++
c(40,40,20)s(16,40,20)-s(32,32,20)-s(40,16,12)+
t(24,24,20)c(32,40,20)+t(24,32,20)-c(24,32,20)-
s(24,24,20)s(24,32,20)*t(32,40,12)-c(32,24,20)*
c(40,24,20)t(32,32,28)*c(24,24,12)c(48,16,12)+-
s(40,16,12)c(32,48,12)+t(16,56,12)c(24,48,12)+-
t(40,56,12)t(16,40,12)+s(32,40,12)+s(40,40,12)+
s(16,32,12)c(40,32,20)+t(32,40,12)c(48,48,12)+*
s(24,32,20)t(48,24,12)c(24,24,20)+*t(32,32,12)-
s(48,24,12)s(32,32,20)c(16,40,12)s(24,32,12)+++
s(48,32,20)s(16,24,20)c(32,40,12)c(16,32,12)+++
t(24,48,28)c(48,16,12)s(40,40,28)s(24,48,20)-++
t(16,16,12)c(48,16,12)+s(16,48,20)s(8,40,12)-+
t(24,16,12)s(40,40,28)+s(32,16,20)+s(16,48,12)+
t(40,48,20)s(16,24,12)t(48,32,12)++t(48,16,12)+
c(16,48,12)s(24,32,28)s(48,40,12)+s(16,40,12)-+
s(24,48,20)s(16,40,20)-c(24,24,20)s(16,8,12)-+
s(16,24,20)t(40,24,20)+c(16,24,12)s(48,32,20)+-
s(32,8,12)s(40,32,20)+s(40,48,20)-s(40,40,20)+
s(16,32,12)s(40,24,20)s(24,32,20)+t(24,48,28)-+
s(32,40,20)s(48,24,20)c(40,40,20)+c(40,24,20)-+
c(32,40,20)c(40,24,20)s(32,32,20)*s(48,32,20)+-
c(16,48,12)s(24,40,12)s(40,40,12)++t(24,32,20)+
c(16,40,12)s(16,24,12)+s(16,32,20)*t(32,48,28)-
t(32,48,28)s(40,40,28)+t(16,56,12)s(48,48,20)+*
s(16,24,20)c(32,32,20)-c(16,40,12)-c(16,16,12)+
t(24,32,28)s(16,8,12)+s(32,16,20)c(32,40,12)++
c(32,40,20)c(48,48,12)+s(16,32,20)-s(16,48,20)+
t(40,24,12)t(32,48,28)s(24,40,28)*+s(32,24,28)-
s(24,48,20)t(32,32,20)+t(24,40,12)-c(40,16,12)+
s(16,16,12)c(32,32,20)s(40,24,28)*+c(24,48,12)+
t(48,16,12)c(32,32,28)s(24,32,28)s(24,8,12)+*+
s(40,32,12)c(24,32,12)t(32,48,20)s(32,24,12)+++
s(24,48,20)s(16,40,12)s(48,24,12)++t(32,56,12)-
t(32,24,20)t(24,32,12)-c(32,32,12)+s(48,24,12)-
s(40,40,28)s(32,40,12)-s(24,16,20)-c(40,48,12)+
s(24,24,20)c(32,32,20)+s(24,16,20)+s(32,40,28)+
s(8,32,12)s(48,24,12)+s(48,16,12)s(16,32,20)++
s(40,24,28)s(32,24,28)s(48,16,20)-*t(32,56,12)+
s(8,16,12)s(32,32,20)+s(24,16,12)-t(32,40,12)-
s(16,48,20)t(40,24,20)+t(32,48,28)-t(48,40,12)+
t(16,16,12)s(48,40,12)+s(48,24,12)s(8,24,12)+-
t(48,32,12)t(16,32,12)c(16,24,12)++c(40,32,12)-
t(16,16,12)s(40,40,28)+s(48,48,20)c(32,24,20)+-
s(40,32,20)t(16,24,12)+s(16,32,20)+s(48,32,20)-
c(40,32,12)t(16,56,12)s(16,48,12)++t(24,24,20)+
t(40,32,12)c(24,40,20)s(32,24,20)+c(32,40,20)-+
t(24,32,20)s(16,48,12)+t(24,16,12)t(32,40,28)++
s(40,40,20)s(16,48,12)+c(32,24,12)+c(24,24,20)*
s(16,40,20)c(32,40,12)+c(48,16,12)+s(32,48,12)-
s(40,40,20)c(40,32,20)t(24,40,28)+s(24,40,20)--
t(24,32,28)s(40,48,12)s(48,40,12)c(48,32,12)++-
s(32,32,20)t(48,56,12)s(48,40,20)+-c(48,16,12)-
c(16,48,12)s(32,8,12)+s(48,32,20)c(24,40,20)++
s(16,48,20)c(40,24,20)c(40,32,20)++s(40,40,28)*
s(32,32,28)c(40,24,20)t(24,32,20)++s(24,40,28)+
s(48,8,12)s(24,48,20)+s(48,48,20)t(24,32,28)+*
s(24,40,28)s(8,16,12)+s(48,16,12)+c(32,48,12)-
s(32,40,20)c(32,16,12)+c(48,48,12)-s(24,24,20)+
s(24,24,20)s(24,24,12)-t(24,40,28)s(40,32,12)++
t(16,56,12)c(32,24,20)c(16,32,12)-+c(32,16,12)-
s(16,40,12)t(32,40,20)t(16,56,12)++s(24,48,20)*
t(24,40,28)s(32,16,20)+t(16,48,12)s(40,32,12)+*
t(40,24,20)s(8,24,12)c(32,24,12)+s(32,24,20)*+
t(24,48,12)s(40,16,12)c(48,48,12)++s(32,24,20)+
t(24,48,28)c(40,40,20)c(40,16,12)++c(32,32,20)-
c(32,24,20)t(24,48,28)+t(48,16,12)t(32,32,12)+-
t(40,32,20)s(16,32,20)+s(48,24,12)t(24,48,12)+-
s(8,16,12)t(40,32,12)s(24,16,20)+t(16,32,12)++
s(32,16,20)t(32,32,28)+c(40,24,12)c(48,32,12)++
c(24,40,12)s(48,48,12)t(40,24,12)+s(32,32,12)-+
c(48,32,12)t(40,56,12)+c(48,40,12)+t(16,24,12)+
s(16,16,20)c(32,24,12)s(16,24,12)++c(48,40,12)+
c(32,40,12)s(16,32,20)c(32,32,20)+t(40,32,20)-+
s(32,16,12)c(32,48,12)s(24,32,20)t(32,32,28)*++
s(24,48,20)c(40,16,12)c(24,24,20)t(24,40,20)+++
t(24,40,28)t(40,40,12)s(16,40,20)+*s(48,40,20)-
t(16,16,12)t(32,40,12)+c(40,40,12)+c(40,24,20)+
s(40,40,28)s(32,32,28)c(48,24,12)t(24,56,12)+-*
s(8,16,12)t(24,48,28)+c(24,24,20)s(24,8,12)-*
s(16,48,20)t(16,56,12)c(16,32,12)+t(40,48,12)+-
s(40,32,20)s(8,48,12)+s(24,48,20)-c(48,24,12)+
s(24,32,28)s(16,40,20)+c(24,40,12)-c(40,32,12)-
s(40,32,28)s(24,24,12)s(48,24,12)+*s(32,16,12)-
t(24,48,28)s(8,40,12)t(24,32,20)+-t(32,32,28)-
s(16,40,20)s(48,48,20)t(32,48,28)+-t(32,40,28)+
s(48,48,20)s(24,24,20)s(32,40,28)+s(16,16,20)+*
c(16,32,12)s(40,32,28)+c(48,16,12)-c(40,32,20)*
s(40,40,28)c(32,40,20)s(16,8,12)s(48,32,20)+-*
s(48,24,12)t(40,24,20)c(40,24,12)s(40,8,12)+*+
c(24,24,20)s(16,32,20)-t(40,40,20)-s(8,16,12)+
t(24,48,28)s(48,40,20)s(40,8,12)+t(40,56,12)+-
s(16,40,20)s(40,48,20)t(24,32,20)s(8,8,12)+++
t(32,40,28)t(24,48,20)+c(40,40,20)*s(24,24,20)+
t(24,40,28)t(32,40,20)-s(32,40,20)+s(48,40,20)-
s(32,48,20)c(16,16,12)s(24,40,28)+s(32,24,20)*+
c(48,48,12)c(24,24,20)c(24,40,20)s(32,48,12)--+
t(24,32,12)t(24,40,12)c(24,16,12)+t(32,16,12)-+
c(24,24,20)s(48,16,12)t(32,48,28)+s(24,40,20)+-
s(32,48,20)t(24,32,12)+s(48,32,20)s(40,8,12)+-
s(24,48,20)t(40,40,20)-s(40,16,20)s(48,24,20)*+
s(16,8,12)s(32,40,20)+t(40,24,20)-s(40,48,20)-
c(32,24,20)t(24,56,12)s(8,8,12)c(16,48,12)+++
s(16,32,20)c(40,40,12)s(32,32,12)+s(16,48,20)+*
c(24,40,20)s(24,16,20)+s(32,24,28)*t(32,24,12)-
s(16,8,12)t(32,48,12)+c(40,32,20)s(8,16,12)++
s(16,32,12)t(32,48,28)+t(16,40,12)-c(48,24,12)+
t(32,48,20)s(48,48,20)+s(16,24,12)s(8,32,12)++
c(24,24,20)t(40,40,20)+c(24,40,20)*s(40,32,12)+
c(40,24,20)s(24,40,20)s(16,16,20)-+s(40,16,20)*
s(24,40,28)s(40,32,28)t(16,56,12)+-t(32,32,28)+
s(48,32,20)s(40,24,20)s(24,16,12)c(40,40,20)+*+
t(24,48,28)t(24,24,20)s(40,40,12)+s(40,32,12)--
s(24,24,20)c(40,32,12)c(40,48,12)+t(32,48,12)--
s(16,40,12)t(16,16,12)s(48,32,20)+c(24,24,12)-+
s(40,24,20)c(24,40,20)t(40,24,20)t(32,32,20)++*
c(24,40,20)s(24,32,28)s(32,32,20)t(16,48,12)+*+
s(32,40,20)s(24,24,28)s(32,40,12)-+c(32,32,20)-
t(32,48,12)s(48,8,12)+t(40,40,12)+c(40,32,20)+
s(48,32,20)c(32,40,12)+s(32,32,20)t(24,24,20)++
s(32,24,12)c(24,40,20)+s(8,24,12)s(16,40,20)+*
s(8,48,12)s(32,32,20)+s(16,8,12)t(32,24,12)++
c(48,16,12)s(48,48,20)+s(16,32,20)s(32,40,12)-+
t(40,56,12)s(24,40,28)t(32,40,28)t(40,32,20)-*+
s(24,40,28)c(24,24,20)-s(40,40,28)t(32,32,28)*+
s(48,16,20)c(48,40,12)+c(24,24,12)c(48,16,12)++
t(48,56,12)s(24,24,28)s(8,16,12)-c(24,24,20)*+
t(40,48,20)s(32,16,20)s(16,40,20)t(16,32,12)-++
s(32,24,28)s(40,40,20)-s(32,16,20)*s(32,32,28)*
c(24,24,20)t(48,48,12)+s(40,24,20)+s(24,32,12)-
s(32,16,20)s(32,8,12)s(48,8,12)+t(48,24,12)+*
c(48,40,12)s(16,8,12)+t(40,16,12)s(32,40,12)++
c(32,24,12)s(48,48,20)t(48,32,12)t(16,48,12)+-+
t(48,16,12)s(24,24,20)+s(24,48,12)+s(24,16,20)-
c(24,32,20)s(48,16,20)+c(16,16,12)s(8,40,12)+-
s(24,24,12)t(24,24,12)t(16,48,12)++c(24,48,12)+
s(40,24,20)s(48,24,20)+s(32,24,12)s(24,16,12)++
s(40,16,12)t(16,56,12)+t(24,40,28)+s(32,40,28)*
c(32,24,20)s(16,48,20)c(32,24,20)s(32,16,20)-++
s(48,40,20)t(40,40,12)-t(40,56,12)+s(40,32,20)-
s(40,40,28)t(40,40,20)-s(40,8,12)+t(32,40,20)-
s(48,32,12)s(24,8,12)s(40,48,20)c(16,48,12)+++
s(32,48,20)t(24,32,28)s(32,32,20)+s(16,8,12)+*
t(40,40,12)t(32,48,20)t(40,24,12)+c(16,40,12)++
s(48,40,20)c(32,48,12)+s(16,16,12)+s(32,32,20)-
c(16,24,12)t(40,32,20)c(32,40,12)++t(32,32,12)-
s(8,40,12)c(32,40,20)s(40,48,20)*+c(16,24,12)+
s(32,48,20)t(32,32,12)s(8,24,12)++s(32,32,20)-
c(32,32,20)s(40,32,12)t(24,48,28)+t(40,40,12)--
s(32,16,20)s(24,32,12)s(48,8,12)+t(24,16,12)++
t(40,24,20)s(32,32,12)+c(48,32,12)+s(32,48,12)+
t(16,56,12)c(40,48,12)t(40,40,12)s(16,24,20)+++
s(32,24,28)s(16,16,20)*s(32,16,12)c(32,40,20)++
c(16,24,12)s(40,40,28)c(32,40,12)-+s(48,16,20)-
t(24,48,28)t(32,32,20)c(32,48,12)+c(48,40,12)-*
s(24,24,28)c(32,40,12)t(24,48,12)++s(16,48,20)*
c(24,32,20)s(24,16,12)t(24,32,20)s(24,24,20)*+*
s(16,16,20)t(24,40,12)+t(24,32,20)+t(24,56,12)+
c(24,40,20)s(48,16,12)t(40,24,20)+s(40,24,20)*-
s(48,24,20)s(8,48,12)+c(24,32,20)t(32,40,28)++
s(32,24,28)c(40,40,12)s(16,16,12)+c(24,48,12)++
s(32,40,12)s(24,48,12)c(32,48,12)+s(16,16,12)++
c(32,24,20)s(16,40,20)t(32,48,28)c(24,40,12)-+-
s(48,8,12)s(32,24,12)+s(40,16,20)*t(48,56,12)+
s(8,16,12)t(24,48,20)t(24,40,28)++s(24,32,28)-
s(24,16,12)c(40,40,20)c(40,24,12)-+s(48,32,20)-
t(16,40,12)t(32,40,28)+s(48,40,20)*s(24,40,20)+
s(40,48,12)t(40,32,12)+s(32,24,28)+t(24,40,28)-
s(32,40,28)t(40,48,12)s(48,24,20)+s(32,40,20)+*
t(32,48,28)c(40,16,12)+c(24,32,12)-t(24,32,28)-
s(48,24,20)t(40,48,12)s(32,24,20)+t(24,24,12)--
s(48,48,20)s(40,16,20)s(32,32,20)s(16,16,20)+-+
s(48,16,20)s(32,40,20)c(24,32,20)+s(16,24,20)--
s(24,48,12)s(40,16,20)c(16,32,12)++c(40,24,20)*
s(32,40,28)t(32,40,20)s(8,24,12)+-s(24,24,12)-
t(24,40,12)t(24,16,12)+s(16,32,20)t(24,24,12)-+
s(24,40,28)s(16,24,20)-s(24,40,20)*s(40,16,12)+
t(16,56,12)s(32,16,20)+s(32,16,12)-c(48,48,12)+
s(40,48,12)t(24,48,20)t(16,24,12)s(16,48,12)+++
s(24,40,12)c(40,24,12)+c(40,40,20)+t(24,24,20)+
s(16,48,20)s(48,8,12)c(24,48,12)++s(40,24,28)-
t(24,40,20)s(32,48,20)+s(40,24,20)-t(24,40,20)*
s(8,24,12)s(48,40,12)s(32,24,20)s(8,8,12)+++
t(24,32,28)s(32,48,20)c(40,16,12)s(32,40,20)++-
t(24,48,28)c(16,16,12)c(48,16,12)+t(32,48,28)++
s(40,48,20)s(8,24,12)c(24,16,12)+s(32,40,20)+*
s(8,40,12)s(16,40,12)+s(32,24,28)c(32,32,20)*+
s(24,48,20)t(40,40,20)-s(48,48,20)c(40,32,12)+-
c(48,48,12)s(16,8,12)s(16,32,20)+t(40,24,20)++
s(32,48,20)c(40,16,12)+s(24,40,20)t(40,24,20)++
t(24,48,12)s(32,48,20)t(40,48,20)-+s(48,24,12)+
c(32,24,20)t(48,32,12)-c(16,16,12)c(32,16,12)++
s(8,24,12)s(48,48,20)+t(24,48,12)c(40,24,20)+-
t(16,40,12)s(32,24,12)+t(40,48,12)+c(16,40,12)+
t(40,56,12)s(24,24,20)+c(32,32,20)c(24,16,12)--
t(40,32,20)t(48,24,12)-c(24,16,12)+s(48,32,12)+
t(40,24,20)c(24,32,20)t(32,40,12)c(32,16,12)+++
s(32,32,28)t(48,24,12)-c(40,24,20)-s(32,32,12)+
t(32,48,12)t(24,24,12)s(8,8,12)++t(40,56,12)+
c(40,32,20)s(40,24,20)s(24,32,20)+*t(24,40,12)-
s(32,24,28)t(32,48,12)+c(40,16,12)s(32,48,20)+*
s(32,32,20)c(16,40,12)+t(40,48,12)t(40,32,12)++
c(32,48,12)t(32,16,12)+s(24,24,28)s(48,40,20)+*
s(48,24,20)c(24,40,20)+s(16,48,12)-s(48,32,20)*
s(24,24,28)t(48,16,12)s(40,40,20)+s(16,32,12)+-
s(24,32,28)t(32,32,12)-s(8,8,12)+s(40,16,12)+
t(24,24,12)s(24,40,12)+t(40,56,12)+s(16,24,12)-
s(24,40,28)t(32,32,28)-t(40,40,20)-c(24,48,12)+
t(32,24,20)c(40,40,20)s(24,40,28)+s(24,24,28)-+
s(24,8,12)t(24,16,12)t(32,40,20)+s(24,32,12)-+
t(32,48,28)s(40,24,28)-s(16,40,12)+s(48,48,20)-
s(40,32,28)t(16,24,12)t(16,48,12)s(32,24,12)++-
c(32,40,20)s(40,32,20)*s(32,40,20)*s(24,24,12)-
t(32,32,28)s(24,32,20)c(40,32,20)*c(16,48,12)++
s(8,40,12)c(48,32,12)+c(48,40,12)t(24,32,12)+-
t(32,48,28)t(32,32,20)t(16,32,12)++c(40,24,12)-
s(32,32,20)s(40,48,12)t(48,16,12)+s(32,16,20)--
s(32,48,20)s(24,48,12)-s(16,32,12)+t(32,32,28)*
s(48,16,20)s(32,16,12)s(32,40,20)+c(40,48,12)--
s(16,40,20)s(24,32,20)t(24,40,28)c(32,24,12)-*+
c(24,48,12)s(40,40,20)s(48,16,20)t(40,40,20)+*+
c(32,48,12)s(32,16,12)+c(32,32,12)-s(24,48,12)+
s(16,16,20)t(40,24,20)s(24,32,12)-t(32,24,20)++
s(32,32,28)c(40,24,12)-s(24,32,20)-t(32,40,12)+
c(24,24,20)c(32,16,12)s(48,24,20)++c(24,32,20)+
s(40,24,28)t(24,40,20)+t(32,24,12)s(16,48,20)++
s(8,40,12)s(40,32,20)+t(40,40,12)-s(16,40,12)-
c(40,24,12)c(24,32,12)+s(40,32,20)c(40,40,20)+*
t(40,16,12)t(40,32,12)t(32,40,20)++t(40,32,12)-
s(8,32,12)t(16,24,12)t(16,16,12)++c(24,48,12)+
t(48,32,12)s(16,32,20)t(32,40,28)c(32,24,20)-++
s(40,16,12)s(16,32,12)+t(40,24,20)t(48,16,12)--
s(48,48,20)t(32,56,12)t(24,40,20)c(40,48,12)-++
c(32,16,12)c(16,16,12)c(16,32,12)+c(32,32,12)++
s(16,40,20)c(32,32,12)-t(24,48,20)-s(8,16,12)+
s(32,16,20)c(40,40,20)c(40,32,12)-+s(32,40,28)*
s(24,24,12)s(32,48,12)+c(32,48,12)+s(40,8,12)+
s(24,40,20)s(16,48,20)*t(16,56,12)s(16,24,12)++
s(32,24,20)c(48,40,12)+s(40,48,12)c(24,24,12)++
s(32,24,20)t(32,40,20)-s(48,40,12)+c(24,48,12)+
s(48,8,12)c(48,48,12)+t(16,48,12)+t(40,40,20)-
s(32,24,12)s(24,16,20)t(48,40,12)+s(48,40,20)-+
t(32,32,20)t(16,48,12)s(24,8,12)++s(16,48,20)+
c(16,32,12)s(24,32,12)+s(8,32,12)+t(32,48,20)+
t(24,16,12)c(48,40,12)+t(16,16,12)s(8,8,12)+-
s(48,48,12)s(32,24,20)+t(40,48,20)s(40,24,20)--
s(40,24,12)s(48,48,20)s(32,48,20)+t(24,40,28)-+
s(48,48,12)t(24,56,12)c(16,32,12)c(40,24,12)+++
t(32,16,12)c(24,24,12)s(24,48,20)+s(40,24,20)-+
s(16,40,20)c(16,48,12)c(24,32,12)+t(32,48,12)++
s(32,32,12)t(32,40,12)+s(16,32,12)+t(40,40,20)-
c(40,32,12)s(40,48,20)s(40,32,28)c(32,40,20)+*+
t(24,32,12)t(32,56,12)s(48,24,20)+s(40,40,20)-+
s(8,24,12)c(48,16,12)t(32,24,20)+s(40,8,12)-+
t(32,32,20)c(32,48,12)-s(24,24,20)+s(32,32,20)+
s(16,40,20)s(32,48,12)+t(32,48,12)s(32,16,20)+-
s(16,8,12)c(16,24,12)+s(32,48,12)+s(16,48,12)+
t(40,24,20)s(48,8,12)+s(24,24,20)s(40,16,20)-+
s(32,16,20)c(40,40,20)c(40,24,20)+s(24,32,12)-*
s(32,24,28)t(16,48,12)s(32,32,20)+t(16,24,12)+*
s(40,48,20)c(40,32,20)s(8,32,12)+*s(16,32,20)-
t(32,24,12)t(40,16,12)c(16,48,12)++t(24,32,20)+
t(24,32,20)s(16,32,20)*s(40,32,28)+s(8,24,12)+
c(48,32,12)t(24,56,12)+c(48,48,12)t(32,40,20)++
c(24,40,20)t(48,24,12)t(24,24,20)+-s(32,48,20)*
s(16,8,12)t(48,16,12)s(40,40,28)s(24,40,20)*++
t(40,56,12)c(16,32,12)t(40,32,12)+s(48,40,12)++
s(24,24,28)s(24,32,28)s(16,24,20)+t(40,32,20)+*
c(40,32,20)t(32,32,28)*t(32,48,12)+s(24,8,12)+
c(24,32,20)c(48,40,12)+t(24,40,12)s(48,32,12)+-
c(40,40,20)t(24,48,12)t(32,32,28)+*s(32,48,20)*
s(24,8,12)s(24,48,12)c(40,40,12)+c(40,40,20)++
s(32,40,20)s(40,32,20)*s(48,32,20)+s(24,8,12)+
c(32,24,20)s(16,40,12)+s(16,24,12)-s(24,40,28)+
t(40,48,12)s(16,32,20)c(24,24,20)*+s(40,48,12)+
s(24,16,20)s(40,48,20)t(32,40,20)-+t(48,16,12)+
c(40,32,12)c(40,16,12)s(24,48,20)s(24,8,12)+++
t(24,40,20)c(48,32,12)s(40,48,20)+t(32,24,20)-+
t(48,32,12)t(40,24,12)+s(8,24,12)+s(48,48,20)-
t(40,16,12)c(48,16,12)t(24,24,20)+s(40,24,20)-+
s(32,24,28)t(16,24,12)s(40,8,12)+-t(24,48,20)+
t(40,40,20)s(48,48,20)c(48,48,12)c(32,32,12)++*
s(48,48,12)c(40,40,12)+s(16,32,12)+c(40,48,12)-
s(48,16,20)c(32,32,28)s(48,16,20)-+s(40,16,20)-
s(40,48,20)s(16,48,20)s(24,24,28)-+s(16,32,20)+
s(48,24,20)t(32,40,28)s(32,48,20)t(16,56,12)++-
s(40,16,20)s(8,48,12)s(24,32,12)c(48,16,12)+++
s(16,48,20)s(32,24,12)c(24,16,12)++t(24,16,12)-
s(16,40,20)t(24,40,20)t(48,16,12)++t(24,40,28)+
t(48,32,12)s(32,32,20)s(16,24,20)s(16,40,20)+-+
s(8,16,12)s(48,40,20)t(48,40,12)-+t(48,56,12)+
t(32,48,12)c(40,32,20)s(48,48,20)s(8,32,12)+*+
s(32,16,20)c(40,16,12)-c(40,32,12)s(48,24,20)++
t(24,56,12)s(48,32,20)s(48,40,20)++s(32,40,20)*
s(48,24,20)t(40,24,20)+c(24,40,12)c(48,40,12)++
s(24,24,28)t(24,32,20)-c(32,24,20)*s(48,24,12)+
t(24,40,20)s(16,40,12)c(24,24,12)+t(32,24,20)-+
s(40,40,20)t(32,48,20)c(32,32,20)+t(24,24,20)*+
s(24,8,12)s(40,40,12)t(32,40,20)t(40,48,12)-++
c(32,48,12)s(48,16,12)s(8,32,12)++s(24,48,20)-
s(40,16,12)c(24,16,12)+s(16,32,20)t(24,40,20)-+
s(32,32,28)s(8,24,12)+s(48,24,20)-c(32,40,12)-
c(24,32,12)s(40,48,12)s(16,32,20)+t(24,40,28)*+
s(24,16,20)s(24,32,20)*s(40,16,12)s(16,16,12)++
t(40,24,20)s(16,16,20)c(32,32,28)s(40,32,20)-++
c(40,24,20)c(24,32,20)*c(40,32,20)*c(32,48,12)+
s(16,16,12)s(16,24,20)t(24,40,20)+s(8,16,12)-+
s(48,40,20)t(48,32,12)-t(40,32,20)s(32,24,20)++
c(40,24,20)s(40,48,12)s(16,48,20)+-c(32,24,20)+
t(48,56,12)c(32,40,20)+t(32,32,28)*s(40,40,28)*
s(32,24,20)s(24,40,28)s(24,8,12)++c(40,32,12)-
t(32,48,28)s(8,40,12)+c(24,40,20)+t(40,40,20)-
t(16,48,12)t(24,24,20)+s(48,32,12)t(40,16,12)++
s(40,16,12)s(32,48,20)+c(24,40,20)s(16,24,20)+-
s(16,40,20)s(40,24,20)+t(40,24,12)-s(32,16,20)-
s(24,32,12)s(32,16,20)s(48,48,20)s(32,24,12)+-+
s(40,24,20)s(24,24,20)c(16,40,12)-+t(48,24,12)-
t(24,48,28)s(16,32,12)-c(24,40,20)+s(40,32,28)+
t(32,48,28)s(16,8,12)+c(48,40,12)t(32,48,20)+*
t(40,48,20)s(48,16,12)s(32,32,12)+s(48,48,20)+*
s(48,40,20)c(16,40,12)s(40,24,20)+s(24,16,20)++
c(24,24,20)c(24,24,12)s(16,40,12)+c(16,40,12)++
t(16,48,12)t(24,48,12)+c(16,16,12)t(40,16,12)++
s(32,40,28)s(24,16,20)s(40,24,28)c(16,48,12)++-
c(32,40,20)s(32,24,12)c(48,32,12)+c(48,40,12)+*
c(32,32,20)s(32,24,28)t(32,24,20)s(24,40,28)+--
t(24,24,20)t(32,32,12)+s(40,24,28)*s(32,48,12)+
s(16,8,12)t(32,48,20)+s(32,40,20)*t(40,32,20)+
c(48,16,12)s(24,24,20)t(40,32,12)+s(40,32,28)*+
s(32,16,20)t(24,48,28)t(16,32,12)++s(8,24,12)+
s(16,40,20)t(24,24,20)-s(48,24,20)t(32,48,12)++
s(8,24,12)s(48,32,12)c(48,16,12)s(32,16,12)+++
c(16,24,12)s(48,8,12)+t(16,16,12)-c(24,40,20)+
c(40,32,20)t(24,56,12)+s(24,32,28)c(32,32,20)+*
t(32,32,20)s(32,40,20)+s(32,48,20)+s(48,16,20)+
t(48,24,12)t(24,48,28)+s(24,16,12)+t(32,32,20)-
t(24,32,28)s(32,8,12)t(32,40,28)+*c(48,48,12)+
s(32,40,20)c(16,24,12)t(24,48,12)+c(48,16,12)++
s(40,16,12)c(48,32,12)t(16,48,12)+t(24,40,20)-+
s(8,16,12)s(24,24,20)+s(16,40,20)t(40,24,20)+-
c(48,16,12)t(32,48,20)+t(40,32,12)t(40,56,12)++
t(32,48,12)c(32,40,12)+s(40,32,12)+s(40,8,12)+
s(48,16,20)c(24,32,12)+t(16,24,12)s(48,48,20)++
t(32,48,28)c(24,32,20)s(32,40,28)*t(24,56,12)++
t(48,32,12)s(24,40,28)+s(40,16,20)t(16,48,12)+-
s(32,16,20)s(24,32,20)+s(32,24,28)s(40,24,28)+*
s(40,24,28)c(32,40,12)s(8,8,12)+-s(24,16,12)-
t(24,40,12)s(8,8,12)c(40,24,12)++t(24,16,12)+
s(40,16,20)s(32,24,20)s(32,48,20)+c(32,40,12)-*
s(48,32,20)t(32,48,20)t(40,40,20)+c(32,48,12)--
c(40,40,20)s(40,32,28)s(24,32,28)**s(24,40,12)+
s(32,16,20)c(24,40,12)+c(40,40,20)*t(48,16,12)+
t(32,56,12)s(48,16,20)s(32,32,20)++t(32,32,28)*
s(24,8,12)s(32,40,12)+s(32,40,20)s(16,8,12)+*
s(40,24,20)s(48,16,20)c(32,32,12)+t(32,32,20)--
c(40,24,20)c(16,40,12)+c(40,32,12)-s(40,32,12)+
s(24,16,12)s(16,40,12)+c(16,40,12)+t(16,24,12)+
s(24,16,20)s(24,48,20)c(24,40,20)s(40,32,12)-*+
c(32,32,20)s(48,24,20)t(32,48,28)+*t(40,32,20)*
s(32,24,28)c(40,16,12)-t(24,48,12)+t(24,40,28)-
s(24,32,28)s(32,48,12)-t(40,40,20)+t(32,24,12)-
s(32,24,28)s(24,40,28)c(40,40,20)-s(16,40,20)*+
c(48,40,12)s(8,48,12)c(16,48,12)s(24,48,12)+++
s(32,40,28)t(24,24,20)t(40,32,12)+c(32,40,12)+*
t(40,48,12)t(40,32,20)s(24,16,12)+s(40,32,20)++
t(24,32,20)s(32,24,28)s(16,48,20)s(16,24,20)+**
s(32,48,20)s(40,32,12)+c(40,40,20)+s(48,16,20)+
s(8,8,12)s(32,8,12)c(24,24,12)+t(32,40,28)-+
t(32,48,28)s(16,40,12)+s(40,24,20)-c(16,48,12)-
c(32,40,12)c(16,32,12)+s(8,48,12)c(24,24,20)++
t(24,32,12)s(8,24,12)c(40,24,12)+t(48,16,12)++
c(40,24,12)c(24,24,20)+t(40,40,20)-s(32,24,12)-
t(48,16,12)s(32,40,20)+t(40,40,20)s(8,32,12)++
t(16,40,12)s(32,8,12)s(24,24,12)++s(24,32,12)-
s(16,24,20)s(32,24,28)s(48,24,12)s(32,48,20)++*
s(40,40,12)c(24,24,20)s(40,32,28)s(32,48,20)*-+
c(24,48,12)s(16,40,12)s(48,24,20)t(40,24,20)+++
s(16,48,20)t(16,48,12)-c(32,16,12)s(24,40,28)+*
s(16,16,20)s(16,32,12)t(48,48,12)++t(40,24,20)+
s(48,48,12)s(24,48,20)+c(16,48,12)-t(32,40,12)-
t(32,32,28)s(16,40,12)c(32,40,12)+c(32,48,12)+-
t(32,56,12)s(48,48,20)c(48,48,12)-+t(16,24,12)+
c(16,40,12)c(40,40,20)+c(24,32,20)*t(40,40,20)+
s(32,40,20)t(24,48,12)-s(48,40,20)s(24,8,12)++
t(48,16,12)c(32,40,20)t(32,32,12)-s(24,48,20)-+
s(40,32,20)s(8,24,12)t(40,24,12)+s(48,32,12)+*
s(8,48,12)t(40,48,20)s(24,24,28)-+c(40,40,12)-
c(32,24,20)c(32,40,12)-t(24,40,28)c(48,16,12)++
s(40,40,28)t(24,32,28)*c(24,16,12)-t(24,32,20)+
c(40,40,20)s(48,40,20)t(16,48,12)+t(40,56,12)++
s(40,40,28)s(24,40,28)s(40,40,20)*t(16,16,12)+*
s(24,16,12)t(32,16,12)c(48,40,12)+s(8,16,12)++
t(24,40,20)t(32,16,12)s(32,24,12)+s(8,16,12)++
s(40,40,20)s(16,24,12)t(32,32,12)++s(40,16,20)+
s(48,48,12)s(32,40,20)+s(40,24,28)-c(24,16,12)+
s(16,24,12)c(40,24,20)t(40,40,20)-+s(8,32,12)+
t(24,48,28)s(24,40,20)*t(48,24,12)+s(48,48,20)+
t(40,24,20)t(24,32,20)+t(40,32,20)t(40,40,20)+-
t(32,32,28)t(40,32,12)s(40,24,12)+-c(24,32,12)+
s(16,8,12)t(24,40,20)+s(32,40,20)-t(32,24,12)+
s(16,40,20)s(40,32,12)s(48,48,20)++c(16,48,12)-
s(32,48,12)t(40,56,12)s(16,48,20)++c(48,24,12)+
c(32,40,12)s(32,32,20)s(24,24,20)-+s(32,32,12)+
s(40,24,20)t(40,40,12)+s(32,40,28)+s(24,40,28)*
t(40,48,12)t(40,48,20)c(40,16,12)+t(24,48,28)-+
s(24,32,20)t(24,48,28)-s(32,16,20)+c(24,32,12)-
t(16,32,12)s(40,40,20)+s(24,48,20)s(48,16,12)+-
s(24,24,28)t(24,40,28)-t(32,32,20)-t(24,32,28)-
t(32,24,12)c(48,48,12)+s(40,16,20)+c(48,32,12)-
c(48,24,12)t(24,24,12)c(24,40,12)++s(24,32,12)-
c(32,48,12)s(40,8,12)+c(32,40,20)+s(32,48,20)*
c(40,24,20)t(24,16,12)t(48,32,12)+t(24,48,20)+-
s(32,8,12)s(48,40,20)s(32,48,12)++s(40,32,20)-
s(32,40,20)s(32,24,28)s(24,48,20)-+c(24,16,12)-
s(24,16,20)c(24,40,12)+s(32,48,12)+s(32,24,28)+
s(32,32,28)t(24,40,28)*s(16,48,12)t(40,32,20)+-
s(24,48,20)s(16,8,12)t(40,40,20)+-c(32,32,28)*
c(48,48,12)s(24,8,12)+s(32,24,20)c(48,48,12)++
t(32,48,20)c(40,48,12)+c(16,40,12)s(32,40,20)+*
c(24,24,20)s(24,40,12)-s(8,40,12)s(16,16,12)++
s(32,32,20)s(16,48,12)t(24,16,12)t(48,56,12)+++
t(32,48,28)c(16,32,12)s(32,40,12)+t(16,40,12)-+
c(32,40,20)t(24,32,28)s(48,32,12)s(24,16,12)+-+
t(32,48,20)t(32,32,20)t(16,24,12)+c(40,40,20)*+
s(40,40,20)c(24,32,12)-s(24,24,28)+s(16,24,20)-
t(16,56,12)s(48,48,20)+t(24,48,28)s(24,24,20)-+
s(8,24,12)s(48,32,12)+s(40,32,28)s(32,40,20)++
s(32,24,28)s(24,40,28)s(40,40,20)s(8,16,12)++*
c(32,24,12)s(24,40,20)c(40,24,20)s(32,48,12)+-+
s(16,48,20)s(16,40,12)c(16,24,12)+s(32,48,20)+*
s(16,32,12)c(24,24,12)+s(40,40,20)t(32,24,12)++
s(8,40,12)c(24,24,12)c(32,24,20)s(24,32,20)-++
s(32,40,28)c(16,48,12)-s(24,24,20)s(48,8,12)+-
s(32,40,28)s(16,16,20)+s(32,24,28)*c(16,40,12)+
s(16,16,20)s(32,16,12)+s(32,24,20)+c(48,40,12)+
c(16,16,12)t(24,40,20)c(48,48,12)s(48,40,12)+++
s(24,40,20)s(16,40,20)t(24,32,20)+s(24,16,12)+*
s(16,48,20)s(32,48,20)-c(32,40,20)+s(24,24,12)-
s(32,16,20)s(16,8,12)+s(16,16,12)s(40,40,20)++
c(40,32,20)c(24,32,20)c(48,16,12)+*c(40,24,20)*
s(8,24,12)t(40,48,20)+t(24,40,28)t(32,40,28)*+
c(24,32,20)c(24,24,20)t(24,16,12)s(16,40,20)+*-
s(40,32,28)c(40,40,20)*s(24,48,12)s(8,8,12)++
t(24,32,20)s(32,40,20)t(32,32,28)t(24,40,20)*-+
t(32,40,28)t(32,40,28)t(24,40,28)*c(16,32,12)--
t(24,32,28)t(40,48,12)s(40,24,20)s(32,8,12)++*
t(32,56,12)t(32,32,20)+c(40,24,20)*t(24,48,12)+
s(48,16,12)s(32,40,20)t(48,40,12)t(24,48,20)+++
t(16,40,12)t(32,32,12)s(16,48,12)+s(32,24,12)-+
s(24,40,20)s(40,24,12)+c(40,48,12)+t(32,40,12)-
s(16,40,20)c(32,24,12)s(48,48,12)++s(24,32,12)-
t(24,48,20)s(16,40,12)+t(32,48,20)+c(24,24,12)+
s(32,32,20)s(24,40,28)c(24,32,20)*+s(16,32,20)-
s(24,16,20)t(40,56,12)s(48,8,12)+s(16,48,12)++
s(8,24,12)s(8,16,12)+s(24,48,20)+c(32,32,20)*
s(16,24,20)s(32,48,12)+s(48,48,20)-t(40,40,12)+
s(8,24,12)t(40,48,20)+t(32,24,20)s(24,48,12)+-
s(32,8,12)s(16,48,20)t(32,40,28)s(24,40,12)-++
c(32,32,20)c(48,40,12)-t(24,40,20)+c(48,16,12)+
s(32,24,20)c(32,24,20)c(32,32,28)s(24,40,28)--*
s(24,24,20)s(24,40,20)*s(8,48,12)+s(24,40,12)-
c(24,40,20)c(48,48,12)s(16,40,12)+c(32,40,12)+-
s(32,24,28)c(32,48,12)c(40,24,12)t(40,48,20)+++
c(24,24,20)t(40,48,20)s(40,24,28)s(16,16,12)+++
t(32,24,20)t(16,16,12)s(40,32,20)s(40,16,20)++*
c(32,32,12)s(48,48,20)s(40,24,12)t(40,32,12)+-+
c(40,40,20)s(40,32,20)c(48,16,12)c(16,24,12)+++
s(32,24,28)t(32,40,28)s(48,48,12)s(24,16,20)+-+
s(40,32,28)s(24,24,28)s(24,32,28)+*c(16,24,12)+
c(40,40,20)c(24,40,12)t(16,56,12)+c(24,48,12)++
t(16,56,12)s(8,8,12)t(16,32,12)++c(24,32,20)+
c(40,40,20)t(40,32,12)-s(48,16,20)s(32,32,12)++
c(24,48,12)t(32,24,12)t(16,48,12)++s(24,40,20)*
c(24,40,20)c(24,32,12)s(40,24,20)+s(48,16,20)+-
t(40,24,20)c(32,40,20)t(16,24,12)++c(48,48,12)-
s(32,48,20)s(32,32,20)*s(8,40,12)+s(24,32,28)*
s(24,48,20)s(40,40,20)s(24,24,28)-t(16,32,12)+-
s(16,40,20)c(40,32,12)+t(40,40,12)-s(40,48,20)-
t(48,24,12)s(40,16,12)t(48,56,12)s(32,40,12)+++
s(24,24,28)s(16,32,20)+c(24,40,12)s(24,16,20)+*
s(16,24,12)s(8,40,12)+c(48,48,12)+c(32,40,20)-
c(32,24,20)c(32,32,20)t(24,40,12)-+c(32,40,20)*
s(40,24,28)s(32,32,28)-t(32,48,12)+s(32,24,28)+
s(8,32,12)s(32,24,12)+s(24,8,12)s(48,24,12)++
s(32,40,28)s(48,32,20)-s(40,40,28)s(16,24,20)-+
s(32,40,28)c(32,24,20)*s(24,8,12)+c(32,40,12)+
t(32,32,28)c(32,32,28)t(24,32,12)t(40,24,20)+--
c(24,32,12)c(40,24,20)+s(24,8,12)s(40,48,12)++
t(40,48,12)s(32,40,20)t(32,48,12)-+s(48,48,12)-
s(8,48,12)c(32,40,12)t(40,48,12)c(32,16,12)+++
t(40,40,20)t(48,24,12)+s(16,40,12)+c(32,32,20)*
c(40,40,12)s(32,24,20)c(40,40,20)s(32,8,12)+*+
c(32,32,20)c(24,24,20)s(32,32,20)*t(32,56,12)+*
s(40,48,20)s(16,24,12)t(48,32,12)+t(32,40,20)++
s(48,32,20)c(40,32,20)+s(48,8,12)+c(32,48,12)-
c(16,16,12)s(32,32,20)+s(24,24,12)-c(32,40,12)+
s(40,32,28)t(32,16,12)-c(32,32,12)s(24,24,12)+*
t(40,48,20)s(8,48,12)+t(32,32,20)+t(40,32,12)-
s(40,40,28)t(40,48,20)-c(24,16,12)-c(48,32,12)+
t(32,32,12)s(8,48,12)s(24,48,20)++t(24,40,28)*
s(40,32,20)s(32,24,20)s(40,32,28)t(24,40,28)-+*
t(24,48,20)s(40,24,28)+c(48,16,12)s(48,32,12)+-
s(32,32,12)c(24,16,12)+t(24,40,12)+s(40,32,28)+
c(24,48,12)s(32,24,12)+s(40,40,20)+s(24,40,28)*
c(16,24,12)c(32,16,12)+t(32,32,28)-c(48,32,12)+
c(32,16,12)s(40,48,12)t(40,32,20)++t(24,32,28)*
t(24,24,20)s(40,24,20)+t(32,24,20)-t(32,24,20)+
s(48,32,12)t(40,32,20)+t(24,40,12)+c(32,48,12)-
s(16,24,12)s(40,40,28)+c(32,24,12)s(32,40,12)+*
t(24,32,20)s(8,16,12)+s(8,24,12)-t(24,40,28)+
c(24,40,20)t(24,24,20)-t(24,40,12)-t(24,56,12)-
s(32,16,20)t(24,40,28)s(40,40,20)+-t(40,56,12)+
s(16,16,20)c(40,40,12)t(32,32,28)s(32,24,12)-++
s(40,16,12)t(32,32,20)+s(48,16,20)-t(40,24,12)+
s(16,32,20)s(40,48,12)c(32,24,20)+-c(24,24,20)+
t(40,24,20)s(48,40,20)+s(16,24,20)t(24,40,12)++
t(16,56,12)t(40,40,20)+s(32,48,20)+t(32,24,20)+
s(40,40,28)s(8,8,12)t(40,40,12)+s(24,32,20)++
c(40,32,20)t(32,32,20)-t(24,24,12)s(40,40,12)+-
s(32,32,28)s(16,32,20)-s(48,40,12)-c(16,32,12)+
s(48,40,20)t(32,48,28)s(24,32,28)++s(32,40,28)-
c(16,32,12)c(24,24,20)s(16,16,20)+s(24,32,12)-+
s(24,24,28)s(16,32,12)s(32,24,20)s(8,8,12)+++
t(40,48,20)t(32,24,20)+c(32,24,20)*c(40,16,12)+
t(32,40,20)t(24,16,12)+t(32,24,12)s(32,48,20)++
c(40,40,12)s(8,48,12)s(16,24,20)++s(40,24,28)*
t(40,24,20)t(32,24,20)t(24,56,12)+s(40,40,20)-+
t(32,56,12)s(40,32,20)+t(24,32,12)t(24,24,20)++
s(40,24,12)t(24,48,12)+t(48,32,12)t(32,32,20)++
t(40,24,12)s(8,24,12)+s(24,40,20)+t(24,16,12)+
t(16,56,12)c(24,40,12)s(16,16,12)++t(24,48,28)*
s(32,16,20)s(48,32,20)+c(32,32,20)-c(48,32,12)+
s(24,16,12)t(32,32,28)c(48,24,12)c(16,16,12)+-+
c(24,32,20)s(40,16,12)+c(40,24,20)+s(16,16,20)-
s(16,24,12)s(40,24,28)c(32,24,20)t(32,40,12)--+
s(40,24,20)s(48,40,20)t(32,56,12)+s(32,32,12)+*
s(48,40,20)t(40,48,20)t(32,40,12)-+c(16,32,12)+
c(32,16,12)t(24,32,28)c(40,32,12)++c(48,24,12)+
c(24,32,12)c(16,40,12)+t(32,16,12)+s(48,40,12)+
s(40,40,28)c(24,40,12)s(24,16,20)+s(24,8,12)-+
c(24,24,20)s(40,48,12)s(24,40,20)+*s(40,32,20)+
t(32,32,28)s(40,48,20)c(24,40,20)t(32,16,12)+--
t(16,56,12)s(16,40,20)+t(40,48,12)c(24,32,12)++
c(48,16,12)s(40,48,20)s(24,48,20)+c(24,32,12)-+
t(24,32,20)c(32,24,12)+t(40,40,20)-t(16,32,12)-
s(24,48,20)s(40,24,28)+c(48,48,12)+t(32,24,20)-
s(48,40,20)c(40,32,20)s(32,24,20)*-c(32,32,12)+
c(32,40,20)t(32,24,20)-c(16,16,12)+s(24,32,20)*
s(48,16,20)s(32,40,28)-s(8,48,12)s(16,16,12)++
s(40,40,12)t(16,48,12)s(32,48,20)s(24,32,28)*++
t(32,32,20)s(48,48,20)-s(24,24,20)c(16,40,12)-+
c(40,24,20)t(24,48,12)c(40,32,12)s(48,40,20)++-
s(40,24,28)c(48,32,12)-t(24,40,20)+s(40,32,28)+
t(40,40,20)t(32,48,20)+s(40,8,12)t(32,16,12)++
s(16,24,20)t(40,32,20)c(32,24,12)+s(40,40,12)-+
t(32,24,20)c(32,24,12)s(16,32,20)+t(24,48,28)+*
s(48,32,20)t(24,40,12)+t(32,40,28)*s(16,48,12)+
t(32,48,28)s(8,16,12)t(24,24,12)++s(32,40,20)+
t(32,32,20)s(16,8,12)s(16,48,12)++t(40,32,20)+
t(16,40,12)s(16,16,12)s(40,32,20)+t(24,56,12)++
s(16,40,12)c(24,48,12)+c(40,16,12)+s(40,40,20)+
c(32,24,20)c(16,24,12)-s(24,48,20)-t(24,48,20)+
c(24,24,20)c(24,32,20)+s(16,16,20)t(48,16,12)+*
s(32,40,20)c(32,32,20)s(16,16,12)t(16,56,12)++*
c(24,32,20)s(32,48,12)+c(24,24,20)*s(32,32,12)-
s(32,24,12)c(24,24,20)t(32,48,20)s(40,40,20)+-+
c(40,24,12)t(24,48,12)+c(40,16,12)+t(32,32,28)+
s(48,32,20)c(40,24,20)s(40,32,20)+s(32,40,28)--
s(48,16,20)t(24,40,28)t(16,48,12)-t(32,24,20)-+
c(24,24,20)s(24,32,20)+t(24,48,20)+c(48,48,12)+
s(24,8,12)c(16,24,12)+s(24,24,28)*c(16,16,12)+
s(40,40,28)s(48,32,12)-s(40,24,28)*s(16,16,12)+
s(48,40,20)t(24,40,12)t(32,40,12)+-s(24,32,12)+
s(40,32,20)s(8,24,12)c(40,24,20)+s(24,24,12)-+
s(32,16,20)s(48,32,12)s(16,24,20)++s(16,40,20)-
c(48,40,12)c(24,24,12)t(16,56,12)++s(16,48,20)-
s(40,24,20)t(32,32,20)c(48,40,12)+s(48,32,12)++
c(32,40,20)s(32,32,20)*s(32,32,28)s(24,32,12)-*
s(8,16,12)t(32,16,12)s(48,40,20)c(40,32,20)*++
c(40,24,20)s(24,24,28)s(40,8,12)-*c(48,48,12)+
c(24,32,20)s(16,16,12)s(40,24,20)+-c(48,16,12)+
s(40,40,20)c(32,32,12)s(48,16,20)+t(32,48,20)+*
s(24,40,20)c(32,40,20)*s(40,48,12)-t(32,48,20)+
t(32,32,28)c(32,48,12)-t(16,56,12)c(16,32,12)++
s(24,16,20)c(48,48,12)+t(32,48,20)+s(40,32,20)-
s(40,32,28)t(32,32,28)*s(16,24,20)+s(8,16,12)-
s(40,40,20)s(24,32,20)-s(24,40,28)s(40,32,28)-+
s(40,48,20)s(24,24,28)c(40,24,20)+s(24,32,28)+-
s(40,32,12)c(16,16,12)s(40,24,28)c(24,40,20)*++
c(32,24,20)c(16,48,12)+t(32,32,20)-t(40,48,20)+
s(48,24,12)s(24,48,20)+t(32,56,12)c(32,16,12)+-
s(32,48,20)c(40,40,12)s(16,40,12)c(32,24,12)++-
c(40,40,20)s(24,32,20)s(32,40,28)t(32,32,28)---
s(24,32,28)t(32,24,20)-t(32,40,20)+c(40,24,20)+
c(24,24,20)t(48,56,12)+s(48,24,12)c(16,16,12)++
s(24,32,20)s(40,32,28)t(40,32,12)-s(24,40,20)*-
s(40,32,28)s(16,16,12)c(40,32,20)+s(48,32,12)--
s(24,24,12)s(48,24,20)+t(24,16,12)t(32,56,12)++
t(40,56,12)t(48,40,12)+s(32,48,12)c(48,24,12)++
t(24,40,20)t(48,16,12)+c(16,24,12)s(32,48,20)++
s(32,16,12)t(32,48,12)c(40,16,12)++t(24,48,20)-
s(32,48,20)c(48,40,12)-s(24,24,28)c(48,24,12)+-
s(32,24,20)s(8,48,12)t(48,32,12)++c(24,40,12)-
c(24,48,12)s(48,32,20)+s(48,32,12)-c(32,48,12)-
c(40,24,12)c(32,40,20)+c(32,24,20)+s(24,48,20)+
t(24,16,12)c(32,24,12)c(32,48,12)+t(48,32,12)++
s(16,40,12)t(24,48,28)s(16,40,12)-+c(24,48,12)-
s(40,32,20)t(16,40,12)t(32,24,20)+s(40,24,12)++
c(16,40,12)t(32,48,20)+t(24,24,20)s(32,48,12)++
t(32,40,12)t(32,32,20)+s(16,48,12)+s(24,24,12)+
s(48,32,20)t(32,24,20)t(24,48,12)+-c(40,16,12)+
s(32,40,28)c(16,32,12)-s(8,40,12)s(48,32,12)++
s(24,32,20)t(32,24,20)s(8,32,12)++s(24,24,28)*
c(24,32,20)c(40,32,20)+s(32,24,28)+t(24,32,28)-
s(40,32,20)c(24,40,12)+c(24,24,12)+t(24,16,12)-
s(48,16,12)t(40,24,20)t(32,32,28)++t(24,40,12)-
s(24,48,12)t(48,48,12)s(48,24,20)+s(24,24,28)-+
s(48,16,20)s(40,48,20)+t(24,40,28)-t(32,40,12)+
t(40,40,20)t(32,40,20)+t(16,32,12)+s(40,40,12)-
s(24,16,12)s(32,40,28)+t(16,56,12)t(24,40,28)++
t(32,32,12)s(16,16,12)t(48,48,12)+t(24,48,20)++
s(48,48,20)t(48,24,12)+s(40,40,28)*c(24,40,20)+
c(32,32,20)t(16,32,12)c(40,48,12)++s(24,48,12)-
c(16,24,12)s(48,40,12)s(8,40,12)s(24,40,12)+++
c(24,40,20)t(16,24,12)t(32,32,20)+c(40,24,20)+-
t(24,40,28)c(24,40,12)t(16,56,12)+s(16,48,12)++
t(48,56,12)c(16,24,12)s(24,32,12)++s(32,32,20)+
t(24,40,20)s(24,8,12)+s(16,16,12)-s(48,8,12)+
t(40,48,12)s(24,24,20)c(24,40,12)-s(24,32,12)++
s(40,24,20)s(32,32,20)+s(40,24,28)+s(32,32,28)+
c(40,24,20)c(48,24,12)c(40,48,12)+*s(32,8,12)+
s(40,32,12)t(24,16,12)s(8,48,12)++s(40,32,20)-
s(32,32,28)c(32,32,28)c(24,32,12)-*s(32,40,20)-
c(16,32,12)t(32,24,20)+c(24,16,12)-t(40,40,20)-
s(16,16,12)t(32,24,12)s(32,8,12)++s(40,24,20)-
s(32,24,20)s(24,48,12)+t(16,40,12)s(24,16,20)+-
s(40,24,12)c(32,24,20)c(32,16,12)t(16,48,12)+*+
s(24,40,20)s(8,40,12)+s(24,24,12)-s(24,32,28)+
s(48,40,12)t(48,24,12)t(24,32,28)++c(32,48,12)-
t(40,40,20)s(24,24,28)s(16,32,20)*+s(48,16,20)+
s(40,16,20)t(32,48,12)+s(48,16,12)-s(32,40,20)+
t(32,32,28)c(40,32,12)-s(48,48,20)s(32,40,12)--
c(24,48,12)c(48,16,12)+c(24,40,20)s(32,16,12)++
t(32,40,28)s(40,32,28)s(24,32,20)++t(32,32,12)-
s(16,48,20)s(32,48,20)t(24,24,12)s(24,40,20)+*+
c(40,40,20)c(40,40,20)s(40,32,20)--s(24,40,28)+
s(16,16,12)s(48,16,20)s(32,32,12)+s(24,48,12)++
s(24,32,12)s(16,16,20)s(40,8,12)s(32,32,20)+-+
c(48,16,12)s(32,24,28)s(16,32,20)t(24,48,28)+-+
t(16,32,12)s(32,40,20)c(40,24,20)*t(24,56,12)++
s(16,48,20)s(16,16,20)s(24,24,20)*s(8,48,12)+-
s(16,48,20)c(24,32,20)s(16,40,20)*t(32,40,28)+*
s(32,40,28)s(16,8,12)+t(40,40,12)-s(24,32,28)-
c(40,40,12)s(16,40,20)+c(48,16,12)t(24,40,20)+*
s(48,48,20)s(24,40,20)t(32,40,28)s(40,16,20)+++
s(32,24,20)s(24,40,12)s(8,40,12)s(32,48,12)++-
s(16,48,20)t(32,24,20)s(48,32,20)+t(40,24,20)*+
s(8,16,12)t(32,32,12)t(40,32,20)++t(32,32,28)+
s(32,32,12)s(48,32,20)s(8,48,12)++s(24,48,20)-
c(40,16,12)t(24,40,28)+t(24,48,28)-t(24,32,20)+
s(24,48,20)c(24,32,20)+t(32,48,20)*c(32,40,12)+
s(40,24,28)t(32,56,12)c(48,32,12)+s(32,24,12)+*
c(32,48,12)t(16,24,12)c(40,24,20)++c(16,32,12)-
s(24,40,12)t(24,24,20)+c(32,48,12)t(40,48,20)+-
s(32,16,20)s(16,32,12)+s(40,32,20)c(24,24,20)-+
s(40,24,20)s(24,40,28)+c(24,24,20)t(40,40,20)-+
c(24,24,20)t(40,48,12)+s(40,24,20)c(32,24,20)*-
s(40,16,20)c(24,40,20)-t(32,32,12)+s(24,32,28)-
t(24,24,12)s(24,40,12)+s(40,24,28)+s(16,32,20)+
t(40,48,12)t(16,24,12)+t(32,48,20)c(16,16,12)++
c(24,24,12)c(40,32,20)s(24,48,20)-s(32,8,12)++
t(16,16,12)s(48,40,12)+s(24,32,28)c(40,40,20)-+
c(40,32,20)s(32,32,20)c(48,24,12)t(48,48,12)+-+
s(48,32,20)t(24,24,20)c(40,48,12)+c(40,40,12)++
c(32,40,20)s(8,32,12)+t(32,32,20)-s(48,32,20)+
t(48,24,12)s(8,40,12)t(32,32,28)++t(24,32,28)+
t(32,56,12)s(16,48,20)t(40,40,12)+t(40,48,20)-+
t(40,48,12)s(48,16,12)+c(32,24,12)s(24,48,20)++
s(16,32,20)s(32,32,28)*s(24,8,12)+c(40,40,20)-
t(32,48,20)s(8,32,12)t(16,56,12)++s(8,32,12)-
s(48,48,12)t(24,16,12)s(48,32,12)++c(24,48,12)+
s(24,48,12)s(40,40,28)t(24,40,28)*+c(40,40,12)-
s(40,24,12)t(24,40,28)+s(24,24,20)+s(32,24,20)-
t(32,48,28)c(40,24,12)+s(16,32,20)-c(40,40,20)+
t(16,56,12)s(16,32,20)s(40,32,28)s(24,48,20)--+
s(16,32,20)c(48,32,12)+s(16,16,12)c(24,16,12)++
c(24,40,20)s(48,16,20)c(32,24,20)s(24,32,20)++-
s(24,32,12)c(40,24,20)+c(24,24,20)+s(48,48,20)-
s(40,8,12)s(16,48,12)s(16,40,12)++c(48,24,12)+
t(32,32,12)s(16,48,12)+t(32,48,20)+s(8,40,12)+
s(40,40,20)t(24,48,28)c(48,48,12)+s(24,16,12)+*
c(24,16,12)s(24,48,12)+s(40,40,20)c(40,16,12)+-
c(24,24,20)t(16,16,12)t(40,24,12)+s(40,16,20)++
t(24,40,28)t(16,16,12)+s(48,24,12)t(24,32,20)++
s(48,40,20)s(48,48,20)+s(24,48,12)+s(16,40,12)+
c(32,24,20)s(48,48,20)s(8,40,12)c(40,32,20)+*-
t(16,48,12)s(8,24,12)+s(40,24,28)t(48,16,12)-+
t(24,48,28)s(16,16,12)+s(24,24,12)t(48,24,12)++
s(24,40,12)s(40,40,12)c(40,32,12)++t(48,24,12)-
s(48,40,20)t(24,40,20)t(40,24,12)s(24,40,12)++-
s(16,40,20)c(32,48,12)t(16,24,12)+-s(8,32,12)-
s(40,32,12)c(48,16,12)+t(40,16,12)+t(40,56,12)+
c(32,24,12)c(32,40,12)+t(16,56,12)+s(24,40,20)-
s(32,48,20)c(32,40,20)*s(24,24,20)s(8,48,12)++
c(40,24,20)t(32,56,12)+c(24,24,12)+s(32,16,20)+
s(40,32,20)t(24,48,28)t(32,16,12)+-c(32,32,12)+
s(40,24,20)t(32,48,28)+s(40,32,12)-c(32,32,28)*
s(32,32,20)t(32,40,12)-t(24,32,28)s(16,32,20)*+
s(40,48,12)s(48,24,12)+c(40,48,12)t(24,48,20)++
s(8,32,12)s(48,48,12)+t(24,32,20)c(40,40,12)--
s(32,48,12)s(40,48,20)c(40,48,12)s(16,48,12)+-+
c(24,40,20)c(40,40,20)*t(24,32,28)*c(24,40,12)+
t(32,32,28)c(40,24,20)t(32,48,28)t(24,32,12)+-+
s(16,40,12)c(32,40,12)+c(16,32,12)t(16,40,12)++
t(16,16,12)c(40,16,12)+c(40,24,12)+s(24,32,12)+
s(32,32,20)s(16,32,12)-s(16,40,12)+c(48,24,12)+
c(24,40,20)c(32,40,20)*c(16,32,12)+c(24,32,12)-
c(24,40,20)t(48,32,12)+t(32,40,12)-s(32,40,28)*
s(32,32,28)t(40,40,20)-s(24,24,28)c(32,24,20)-+
c(32,32,28)s(24,24,28)*s(24,32,20)s(24,32,12)-*
t(48,48,12)s(8,8,12)s(32,32,20)++s(24,40,20)-
s(24,24,28)c(24,32,20)*s(32,24,28)*s(16,16,12)+
c(24,40,20)c(40,32,20)+t(32,48,20)t(40,32,12)+-
c(16,48,12)c(32,40,20)+s(40,40,20)*s(40,24,28)*
t(24,32,20)s(32,40,28)t(32,48,28)-c(32,48,12)++
t(16,48,12)s(40,32,20)+s(32,32,28)*t(40,48,20)-
s(32,40,28)s(48,48,20)s(32,32,28)s(16,48,12)-+*
s(40,24,20)s(24,24,28)t(48,40,12)+*t(40,40,20)-
c(40,40,20)s(48,40,20)c(32,40,12)-*c(48,40,12)+
c(48,40,12)s(16,16,12)+c(40,24,12)+s(24,32,20)-
s(32,32,20)s(16,16,20)-t(48,24,12)-t(24,24,20)-
c(48,40,12)t(24,48,20)+c(24,32,12)-s(40,48,20)*
s(24,40,20)t(16,40,12)-t(24,40,12)-c(40,40,12)+
s(40,40,28)s(24,32,20)s(48,40,12)++c(16,48,12)-
c(40,32,20)s(24,48,12)+t(32,40,28)t(40,40,20)*-
s(24,48,20)s(40,40,20)s(24,40,28)t(40,48,20)+*-
c(40,16,12)c(40,40,12)+c(40,32,20)*s(24,32,28)*
c(32,32,20)t(24,32,28)s(16,32,20)*+c(16,32,12)-
t(24,16,12)s(40,40,28)s(32,40,28)*s(32,24,20)*+
t(24,48,20)s(32,32,28)s(40,32,20)-+c(16,24,12)-
t(40,16,12)t(24,40,28)s(16,16,20)++s(16,48,12)-
s(40,16,20)s(32,24,20)*s(8,24,12)+s(8,32,12)-
c(32,32,28)s(16,32,20)s(16,24,20)**s(8,8,12)+
t(24,32,28)s(32,32,28)s(40,48,20)*c(24,24,20)+*
s(40,24,28)c(40,32,20)*s(40,40,20)+s(48,48,20)*
s(48,24,20)t(48,48,12)+t(40,24,20)s(32,40,12)-*
s(48,40,12)s(16,48,20)s(40,32,28)-+c(32,32,28)*
c(40,16,12)s(16,40,12)+c(40,32,12)c(40,16,12)+*
s(24,40,20)t(32,48,20)-t(32,32,28)+s(24,24,20)*
c(24,24,12)c(24,32,12)+s(8,24,12)c(40,48,12)+-
s(48,48,20)s(24,40,20)-s(48,48,20)t(48,32,12)-*
s(40,40,20)s(40,16,12)+s(48,16,20)c(24,48,12)+-
t(24,48,28)t(24,40,28)s(32,32,20)s(8,8,12)+*-
c(32,40,20)s(32,24,28)-s(40,16,12)+c(24,48,12)-
s(24,48,20)t(32,48,20)+t(40,16,12)s(8,32,12)++
t(32,40,20)s(24,40,20)s(40,32,28)+t(24,40,12)-*
c(24,40,12)s(40,40,28)s(32,24,28)t(16,48,12)+*+
s(32,48,12)s(32,24,28)s(40,32,20)*c(24,32,20)*+
c(24,32,20)s(32,32,20)*t(32,24,12)t(40,32,12)+-
t(32,24,12)s(24,24,28)c(16,24,12)s(48,48,20)+*+
s(48,16,12)s(48,40,20)+s(40,40,28)t(32,48,20)--
t(24,48,28)s(24,40,20)s(40,32,12)+t(32,32,28)**
t(32,40,28)c(24,40,20)s(32,16,20)c(24,48,12)+**
s(24,8,12)t(24,32,12)s(48,24,20)++c(24,40,20)-
t(24,24,20)t(40,32,20)+c(40,24,20)*t(24,24,12)-
c(32,32,28)c(48,40,12)-c(24,40,20)c(24,40,12)-*
s(24,40,12)s(32,32,20)c(24,40,20)*+c(32,24,12)-
c(32,24,20)s(24,40,20)*t(48,56,12)+c(40,48,12)+
c(32,40,20)s(40,40,28)*t(32,48,12)-s(48,32,12)-
s(24,24,28)c(48,48,12)+s(24,32,20)-s(40,40,20)-
c(40,24,20)c(32,40,20)+s(32,24,28)-s(24,40,28)*
s(16,16,20)t(40,40,20)c(32,16,12)s(32,24,12)++-
s(8,32,12)s(32,32,20)+c(32,40,20)-s(32,40,28)+
s(32,48,20)t(40,48,12)c(32,24,20)+c(16,24,12)+*
t(32,16,12)s(32,24,12)s(8,8,12)++s(24,32,28)*
t(40,48,20)t(32,32,28)s(40,32,20)++s(16,40,20)*
t(48,56,12)s(16,16,20)+c(16,32,12)-t(16,56,12)+
t(24,32,28)c(24,32,20)t(24,48,20)-+c(32,40,20)-
c(48,48,12)c(32,32,12)+t(24,16,12)+s(24,32,28)*
t(24,32,28)c(32,40,20)s(40,16,20)+c(32,24,20)**
s(40,24,28)s(40,16,12)-t(24,40,28)-s(16,8,12)+
s(24,40,12)c(48,24,12)t(24,32,20)++s(40,24,20)*
t(32,48,28)c(32,40,20)s(24,32,12)-s(24,24,20)-*
c(40,24,20)s(32,32,28)t(32,48,28)c(32,16,12)+*-
s(24,24,12)s(16,8,12)s(24,40,28)c(16,24,12)-++
c(24,24,20)c(16,16,12)s(48,16,20)+-c(40,24,12)+
s(40,40,28)c(48,48,12)c(48,32,12)+t(32,32,12)+-
c(40,24,20)s(24,24,28)+t(24,32,28)c(32,32,12)-*
t(40,40,20)s(48,48,20)c(24,32,20)s(32,32,20)*+*
s(32,32,20)s(24,24,28)*t(40,40,20)c(40,24,12)--
s(40,24,12)s(32,16,20)c(32,24,20)c(40,32,12)-*+
t(16,24,12)s(24,16,20)t(24,40,28)-+c(24,16,12)-
s(40,48,20)s(40,32,28)+c(40,32,12)-t(32,48,12)-
c(32,24,20)s(40,8,12)-s(24,24,28)*t(16,32,12)-
s(32,40,28)s(24,32,20)t(24,40,28)*s(24,8,12)+*
s(48,8,12)s(16,48,12)s(24,16,12)++t(48,16,12)-
t(48,40,12)t(32,32,28)s(24,40,28)*t(48,56,12)++
s(40,40,28)t(32,48,28)s(40,32,20)c(48,16,12)-+*
s(48,16,20)s(24,32,20)t(16,40,12)-+t(48,24,12)-
t(32,40,28)c(24,32,20)s(48,16,20)s(48,32,20)*-+
s(32,24,28)s(24,32,20)s(24,16,20)t(40,40,20)+**
c(48,16,12)s(8,40,12)+s(40,24,28)*s(8,48,12)+
c(32,32,28)s(16,8,12)s(24,40,28)+*t(24,32,28)*
c(32,16,12)c(40,32,20)c(32,40,20)*+c(24,40,20)-
s(48,32,12)s(24,40,28)+s(24,32,20)s(32,24,28)+-
s(40,24,20)s(40,40,20)t(24,24,20)+*s(40,40,28)*
s(32,40,28)s(32,32,12)-c(32,48,12)s(24,48,12)+-
c(24,40,20)s(24,32,28)*s(8,8,12)s(40,32,28)+*
s(16,16,20)s(40,48,12)t(24,32,20)+s(16,8,12)+*
c(32,32,28)s(16,24,20)*t(24,16,12)c(24,40,20)+*
s(16,40,20)s(24,40,20)t(40,32,20)-c(40,40,20)--
s(24,24,28)s(40,24,20)+s(40,32,28)*c(24,32,12)-
c(32,32,20)t(32,32,12)-s(32,24,28)c(16,40,12)-*
c(32,16,12)s(24,48,20)s(24,40,20)s(16,40,20)**+
s(24,24,28)t(24,32,12)-c(32,40,20)s(24,40,28)**
s(40,24,20)s(24,24,28)*t(32,24,20)*t(40,24,12)+
c(24,24,20)c(24,40,20)s(40,16,12)+t(40,32,20)++
s(24,24,28)t(40,48,12)s(32,24,28)+s(40,40,12)--
t(32,32,28)t(24,40,28)t(40,48,12)-c(40,32,12)-*
s(24,40,20)s(32,32,28)*s(8,16,12)+c(24,40,20)+
s(40,24,20)s(48,24,20)s(8,48,12)s(40,40,28)+**
c(40,40,20)t(24,48,28)t(24,40,28)*t(32,32,28)+*
s(32,40,28)s(24,32,20)-t(24,40,12)s(40,48,20)+*
s(40,40,28)c(32,32,20)c(40,32,20)c(32,48,12)---
t(24,48,28)s(24,32,12)-s(40,32,28)s(32,40,20)*+
s(32,40,20)c(32,40,20)c(24,48,12)-*s(32,8,12)+
s(48,40,12)s(48,32,20)c(32,24,20)*+t(40,24,12)-
s(40,16,20)s(16,16,20)c(16,32,12)-c(48,32,12)+-
s(24,40,28)t(32,48,28)s(24,32,20)-+s(32,32,20)*
c(24,24,12)s(40,32,28)t(24,48,28)*t(48,16,12)++
s(48,16,20)s(32,24,12)-c(32,32,12)+t(48,16,12)-
t(24,48,28)s(40,24,28)s(40,40,20)--t(32,56,12)-
t(24,48,28)c(16,16,12)+s(16,8,12)c(16,24,12)+*
s(24,32,28)s(8,40,12)c(32,32,12)+-s(40,24,20)-
s(48,8,12)s(24,24,28)+s(16,24,20)-c(40,40,12)+
t(24,32,28)c(24,24,12)-c(16,32,12)s(16,16,12)++
s(24,40,28)s(16,16,20)s(24,40,20)+s(8,16,12)-*
s(24,32,28)s(32,24,20)t(32,48,28)--t(24,48,28)*
s(40,32,20)s(24,32,28)c(32,24,20)+*s(48,48,20)-
s(32,16,20)c(32,32,28)s(32,24,12)-s(24,24,20)*-
s(24,16,20)t(32,40,20)+s(16,16,20)+c(24,32,20)-
s(24,24,28)c(24,40,20)*s(24,16,20)+t(32,40,28)+
c(16,40,12)s(32,40,28)c(32,24,20)t(40,40,12)--+
c(32,32,20)s(40,40,20)t(40,32,20)--s(24,40,20)*
s(32,24,20)c(32,16,12)-c(24,40,20)+s(40,40,12)-
s(40,40,20)s(48,16,20)s(40,32,20)+s(32,32,28)**
s(16,48,20)c(24,32,20)*c(32,40,12)+s(32,40,20)+
s(8,40,12)c(32,24,20)s(40,24,20)-+t(40,40,20)+
s(32,24,28)t(40,40,12)s(40,16,20)c(48,32,12)-++
c(40,16,12)s(16,48,20)s(16,40,20)t(32,16,12)+*+
t(24,40,28)s(24,40,20)s(32,24,12)+t(32,40,20)*-
s(48,16,20)c(32,40,20)+s(40,40,28)t(32,48,28)**
s(32,32,20)s(16,40,20)t(32,24,20)+s(32,24,28)**
c(48,32,12)s(8,32,12)+c(40,32,20)+s(32,24,20)+
c(40,40,20)t(32,40,28)+s(32,48,20)*t(32,32,12)+
s(32,40,20)s(48,40,12)s(40,24,12)++s(24,40,20)*
s(24,40,20)c(24,32,12)s(16,16,20)+c(24,32,20)**
c(32,16,12)s(16,32,20)s(48,8,12)++c(40,24,20)-
s(48,32,20)t(32,56,12)s(16,16,20)+s(16,24,20)*+
t(40,24,20)t(32,32,12)-t(40,40,12)+s(48,40,12)+
s(24,24,28)s(32,24,20)s(24,32,28)s(40,40,20)-*-
t(24,40,28)c(24,16,12)-s(48,40,20)+c(32,32,28)*
c(32,48,12)c(40,16,12)s(48,32,20)s(40,40,20)-++
c(40,32,20)c(24,24,20)s(32,16,20)s(16,32,20)-*-
s(48,24,12)s(40,48,20)+s(48,32,20)t(40,40,20)+-
s(32,32,20)c(32,16,12)+c(32,32,28)s(16,32,20)**
c(24,40,20)s(16,24,20)t(24,24,12)-c(24,40,12)+*
c(40,16,12)c(24,24,20)c(32,40,20)*s(40,48,20)-+
s(16,32,20)c(32,24,20)c(32,40,20)s(32,24,28)*+-
t(24,24,20)s(40,32,28)t(24,40,20)t(40,32,20)+*+
c(24,40,20)c(24,24,20)*s(40,48,12)+t(24,48,28)+
s(16,40,20)c(40,16,12)+s(32,24,20)*c(40,24,20)*
s(40,32,28)t(32,32,28)c(40,40,20)*-s(24,32,28)*
s(32,40,20)c(40,40,20)*s(24,40,20)+s(24,24,28)*
s(40,40,28)s(48,48,20)*c(40,48,12)s(40,40,12)+*
s(32,16,12)s(48,32,20)t(32,24,12)++c(40,24,20)+
c(32,24,20)c(24,32,20)s(48,32,20)-+t(32,48,28)*
s(32,16,20)c(48,32,12)+s(32,48,20)t(24,48,28)*+
c(40,24,20)c(24,24,20)*s(24,16,12)t(32,56,12)+-
t(40,24,20)s(24,48,12)+c(32,32,20)s(16,40,12)-+
s(48,40,12)c(16,24,12)+c(16,16,12)-s(8,32,12)-
s(32,32,28)t(24,40,12)-t(24,40,28)s(24,32,28)*-
c(32,40,20)s(16,32,12)-s(40,48,20)s(32,40,20)+*
s(48,24,20)s(32,32,28)t(32,48,28)-t(16,32,12)-*
s(24,32,20)s(24,24,28)s(24,32,28)s(16,32,20)--*
s(40,40,28)s(8,48,12)s(48,24,20)t(32,40,28)++*
s(48,16,12)s(40,40,12)+t(40,32,20)c(16,48,12)++
s(8,24,12)s(32,48,20)+t(24,32,20)c(32,24,20)*+
c(40,32,20)t(40,32,20)s(16,40,20)+-t(40,40,20)+
s(24,40,28)t(24,40,20)t(24,40,28)t(24,32,28)**-
t(32,40,28)s(40,40,28)t(24,32,28)+*t(48,48,12)-
c(24,32,20)s(40,24,20)c(16,32,12)+c(24,32,20)*-
s(40,40,28)t(40,16,12)c(32,40,20)t(24,48,20)*+*
s(40,32,28)s(24,24,20)s(24,24,28)t(32,32,28)***
s(32,16,20)s(32,24,28)c(40,32,12)-*t(32,48,12)+
t(32,48,28)t(24,32,28)-s(32,16,12)+c(24,32,20)-
c(40,24,20)c(24,32,12)-c(32,32,28)s(48,48,20)*+
s(24,16,20)c(32,40,12)+s(40,24,20)-s(32,40,28)-
s(48,48,12)s(24,16,20)+s(48,16,20)-s(32,32,12)+
c(32,40,20)c(32,32,20)+t(40,40,12)-c(16,48,12)-
c(24,24,20)t(24,32,28)s(24,24,28)*-s(48,24,12)+
s(16,40,20)c(32,24,20)s(24,24,20)*s(32,40,28)*+
c(32,40,20)t(24,32,28)c(24,40,12)-s(32,24,12)--
t(48,16,12)t(32,24,12)s(48,48,20)+s(24,40,28)*+
c(40,32,20)c(32,32,20)s(32,16,20)*s(48,24,12)+*
s(40,32,20)t(32,48,28)s(16,40,20)--c(48,16,12)+
t(48,40,12)s(48,32,20)s(48,24,20)*+s(48,32,12)-
s(48,40,20)c(24,24,20)c(16,32,12)c(40,24,12)+*+
s(24,24,28)s(8,24,12)-c(32,40,20)t(32,32,28)**
c(32,32,20)s(48,40,20)+t(32,32,12)-s(40,24,28)*
s(8,16,12)s(16,24,12)t(32,48,20)++s(40,32,28)*
t(16,16,12)c(40,32,12)+s(24,40,12)+s(48,32,20)-
c(32,40,20)s(32,40,28)c(32,32,20)s(32,48,20)-*-
s(24,48,20)t(32,32,28)s(32,40,12)--s(32,48,20)*
s(16,40,20)s(40,40,28)s(32,32,20)*t(24,24,20)--
s(24,32,20)s(16,32,20)c(40,40,20)c(32,40,20)*-*
c(40,32,12)t(24,40,28)c(32,40,20)*+t(40,24,12)-
t(40,32,20)s(24,16,12)+s(32,40,12)+s(48,32,20)*
s(40,24,12)s(16,24,20)+s(40,16,20)c(32,24,12)-+
c(24,40,20)t(24,40,28)s(40,32,28)s(8,24,12)+**
t(40,48,12)s(48,16,20)c(32,32,28)*s(40,32,28)*+
s(32,24,28)s(16,8,12)s(16,40,12)+-t(40,24,12)-
s(40,40,28)s(32,24,28)s(24,24,28)+s(40,48,12)+-
c(16,16,12)t(48,40,12)t(32,32,12)++t(40,24,20)-
c(32,32,28)s(16,16,20)s(24,40,28)--s(24,32,28)*
s(24,24,28)c(32,32,28)*s(16,8,12)+s(48,24,20)+
s(48,32,20)s(32,24,28)s(48,40,20)--s(16,16,12)+
c(24,32,20)s(16,48,20)+s(24,24,20)t(48,24,12)+-
c(32,32,20)c(40,48,12)-s(24,8,12)+s(32,32,20)-
t(32,32,20)c(24,32,20)s(40,40,20)s(16,40,12)+*+
s(40,40,28)c(48,48,12)s(32,24,28)t(32,32,12)-+*
t(24,48,20)s(40,40,20)s(24,24,12)+s(24,32,20)*-
s(32,48,20)c(32,32,20)c(16,48,12)-c(24,32,20)*-
s(16,32,20)c(16,16,12)-s(24,24,20)s(32,32,28)*+
s(24,24,28)s(32,24,28)t(24,40,20)s(40,40,28)+*+
s(40,24,28)s(24,24,20)t(24,32,28)c(32,48,12)-*-
s(32,40,28)s(32,24,28)c(48,16,12)-t(24,40,12)-*
s(32,24,28)s(32,16,20)-c(24,24,20)+t(32,40,28)-
t(32,40,28)t(32,40,20)c(24,24,20)t(24,24,12)-+*
t(32,48,28)c(24,40,20)*t(32,40,28)*t(32,24,20)-
t(24,40,20)t(32,32,28)*s(24,32,20)c(24,24,20)*+
t(32,56,12)c(32,32,20)+s(32,40,28)s(40,48,12)--
s(16,32,20)t(24,40,20)-t(32,56,12)s(16,24,20)+*
s(16,32,12)c(24,48,12)+t(40,16,12)+t(24,32,28)-
c(48,24,12)s(32,16,20)t(32,24,20)*+c(40,32,20)*
t(40,48,20)s(40,40,20)c(24,24,20)c(40,32,12)--*
c(24,32,20)t(24,16,12)-c(40,16,12)s(32,24,20)+*
t(40,48,20)t(32,48,28)c(24,40,20)*+c(40,40,20)*
s(48,40,20)s(40,16,20)s(40,32,28)+c(40,40,20)**
s(48,16,20)c(40,48,12)+c(40,24,12)s(16,32,20)++
c(32,40,20)t(16,48,12)-c(40,40,20)*s(48,32,20)-
t(40,32,20)t(16,56,12)+s(48,40,20)s(40,24,28)+*
s(32,24,28)s(24,32,28)*s(24,32,20)*s(48,16,20)-
t(24,40,20)s(8,32,12)c(32,24,12)++c(40,32,20)*
s(32,48,20)c(40,40,12)c(24,32,12)+t(32,40,12)-+
s(24,40,20)s(16,32,20)s(32,32,28)s(24,32,12)---
s(48,48,20)s(40,32,28)t(48,24,12)t(24,32,20)+-*
t(40,40,12)s(24,32,20)+s(32,32,12)s(48,40,20)+*
t(32,40,28)c(24,40,20)*c(24,32,20)t(40,24,20)-*
s(16,48,20)s(16,32,20)*t(32,48,28)c(32,40,12)-+
s(24,24,20)s(32,32,12)-s(24,32,28)s(32,24,20)--
s(24,32,28)c(32,24,12)-t(40,56,12)s(24,48,20)+*
s(24,32,20)s(40,24,20)+s(32,32,28)t(24,48,20)-+
s(24,32,20)c(40,24,20)s(24,24,12)-t(24,48,12)++
s(40,40,28)c(48,16,12)s(32,24,20)+-s(24,40,12)+
s(40,32,20)c(24,40,12)-t(32,48,28)t(32,40,28)*+
s(32,32,20)t(24,48,12)+s(16,32,20)+s(24,24,28)*
s(32,8,12)s(40,32,28)s(24,24,28)*+t(40,24,20)-
s(32,32,28)s(16,24,12)t(24,48,28)t(32,24,12)++-
c(32,24,20)t(48,16,12)-c(24,24,12)s(32,48,12)+*
s(32,16,20)c(32,24,20)*c(40,24,20)c(48,32,12)-*
s(24,32,28)c(32,32,20)*t(48,16,12)t(24,56,12)++
c(32,24,20)s(16,32,20)*t(40,40,20)+s(32,16,20)-
s(24,24,28)s(32,24,28)s(32,8,12)-*s(24,16,20)+
s(32,24,20)s(16,24,20)*s(40,40,28)t(24,32,20)-+
s(32,8,12)s(16,24,20)+s(32,24,28)*c(24,32,20)*
c(40,40,20)s(40,40,20)t(32,40,28)*s(8,48,12)+*
t(16,32,12)c(40,48,12)+t(40,24,20)s(32,48,12)+-
t(32,32,28)s(40,24,28)*c(24,32,20)s(32,48,12)-*
s(48,48,12)t(32,32,28)s(32,40,28)s(48,32,20)*-+
c(24,40,20)s(24,32,12)-c(32,40,12)-s(40,40,20)-
s(16,24,20)s(24,24,20)*t(32,24,20)s(24,40,20)+*
s(40,24,28)s(32,24,28)s(32,40,20)s(24,24,12)+**
c(32,24,20)s(32,40,20)s(40,16,20)-+s(24,8,12)-
s(48,48,20)c(32,32,20)-s(48,40,20)s(48,32,20)*-
s(24,40,20)t(40,24,20)s(32,8,12)--t(24,48,20)*
t(32,40,20)c(40,32,20)c(40,24,12)-+t(40,40,20)-
s(32,24,28)c(16,24,12)-s(16,24,20)s(32,24,20)*-
s(40,24,28)t(24,48,28)t(48,48,12)+s(40,32,28)+*
s(24,40,12)s(16,48,20)t(32,32,12)+s(24,40,20)-+
c(40,32,20)t(16,40,12)t(16,16,12)+t(32,32,20)+-
t(24,32,12)t(40,48,20)t(32,48,28)s(16,48,12)-*+
s(16,24,20)s(32,40,20)s(48,8,12)+t(48,56,12)+-
c(48,40,12)c(16,40,12)+s(32,40,28)t(32,48,28)+*
s(24,40,12)c(24,24,20)s(48,16,12)+s(32,16,20)*+
s(48,32,20)c(48,32,12)-s(40,8,12)+s(24,40,28)-
c(24,40,20)t(40,40,20)s(16,48,20)+*s(24,40,20)*
c(32,32,20)c(32,40,20)s(16,48,20)*-s(32,16,20)*
s(32,40,20)t(24,48,20)t(40,24,12)t(48,16,12)++-
s(32,48,20)s(48,16,20)c(40,32,20)c(24,48,12)-*+
s(40,32,28)s(48,24,12)s(48,40,20)+*s(48,48,20)*
t(16,40,12)t(40,24,20)s(48,40,20)c(32,24,12)--+
c(32,24,20)s(48,48,20)s(32,48,20)*s(48,8,12)+-
s(24,24,28)c(40,24,20)*s(32,40,28)*c(32,16,12)+
s(24,16,12)s(24,40,28)s(40,40,28)+t(24,48,28)*+
s(48,48,20)c(32,40,20)+s(32,48,20)t(24,32,20)-*
t(40,40,20)s(16,32,20)s(24,48,12)+-s(24,32,12)+
s(40,16,20)s(48,40,12)t(24,24,12)++t(48,24,12)-
s(32,32,28)t(32,40,28)c(48,48,12)-*s(32,24,28)*
t(40,48,20)t(48,48,12)t(24,16,12)++t(40,48,12)-
s(16,48,20)c(24,32,20)s(48,8,12)c(24,40,12)+*-
s(32,32,20)s(48,40,20)s(48,8,12)s(24,8,12)++-
c(32,32,20)t(32,40,12)-s(48,24,12)-c(24,16,12)-
s(40,40,28)s(24,24,28)c(40,48,12)s(24,32,20)+**
s(40,24,28)c(24,24,20)*c(24,24,12)t(24,48,20)+*
s(24,16,20)c(32,24,20)s(40,16,20)*+s(32,32,20)*
s(32,24,28)t(32,32,28)c(16,40,12)--t(24,40,12)-
t(32,40,28)s(24,40,28)+c(40,32,20)s(48,48,20)*-
c(24,40,20)s(40,40,28)c(24,32,20)*-s(16,40,20)*
t(48,56,12)t(24,40,12)+s(24,40,20)+t(32,32,28)-
t(40,40,20)s(48,32,20)s(24,48,20)+*s(48,24,12)-
t(48,48,12)c(24,32,12)+s(40,40,12)-t(24,48,28)+
s(40,24,12)c(32,40,12)t(32,56,12)++s(40,32,20)*
t(24,32,28)c(24,24,20)t(40,32,20)--c(40,24,12)+
s(16,40,20)s(48,48,12)+s(32,40,28)-t(24,48,12)+
s(40,24,28)s(32,24,28)t(40,48,20)+s(24,32,20)--
s(48,48,20)c(32,32,20)s(40,32,28)+*c(40,40,12)+
t(40,48,12)t(48,40,12)+s(24,16,20)+c(48,24,12)+
t(32,32,28)c(40,40,20)*c(40,40,20)c(24,40,20)**
s(24,32,20)s(32,16,20)s(32,32,20)*t(40,48,20)+-
s(24,24,20)s(32,8,12)t(16,48,12)+-c(32,24,20)+
t(40,56,12)s(40,32,20)t(24,32,20)-+s(32,24,28)+
c(24,24,12)s(8,16,12)+t(16,24,12)-c(48,16,12)+
s(24,24,20)s(32,40,20)-s(40,16,20)s(32,32,28)*-
s(16,24,20)c(40,32,20)+s(24,24,28)*s(48,16,20)+
t(24,40,28)c(32,40,20)t(24,40,20)-t(32,24,20)--
t(32,48,28)t(40,40,20)s(48,8,12)s(24,48,20)++*
s(24,32,20)c(32,24,12)+c(40,24,20)*c(40,48,12)+
t(32,16,12)s(40,48,20)+s(32,48,20)c(24,32,20)*-
t(16,32,12)t(40,40,12)+t(32,40,20)+c(40,24,20)-
s(40,32,28)c(40,40,20)s(40,24,20)s(32,32,28)*--
s(32,24,20)s(24,32,20)s(8,40,12)-t(16,56,12)+*
c(32,40,20)s(40,40,12)s(24,24,12)+-t(40,32,12)+
c(24,40,20)s(16,32,20)s(40,48,20)+s(48,32,20)+*
s(24,24,20)s(24,16,20)s(24,40,20)-c(40,24,12)+*
s(40,24,28)t(24,40,28)c(40,32,20)*-s(48,24,20)*
s(16,32,20)s(16,48,20)*c(32,32,12)+c(24,32,20)*
s(32,40,20)s(32,32,20)+t(40,32,20)+s(48,32,20)-
s(40,32,28)c(24,32,20)s(32,40,28)t(40,40,20)-*+
s(40,16,20)s(32,40,20)s(40,48,20)--s(16,32,20)+
s(8,40,12)s(32,48,20)t(32,40,28)c(40,48,12)--+
s(32,24,20)s(16,40,20)s(16,48,12)--t(48,16,12)-
t(32,40,28)t(40,32,12)t(24,48,28)+s(24,40,20)*-
c(32,32,28)c(32,16,12)t(16,24,12)+c(24,16,12)+-
s(24,24,12)c(40,40,12)t(40,48,12)+s(40,48,20)*+
c(24,40,20)c(24,24,20)s(32,48,20)s(48,40,12)---
s(40,32,28)c(32,40,20)c(32,24,20)+t(24,48,28)*+
s(32,16,20)t(16,32,12)+s(32,32,28)c(48,48,12)+*
c(24,40,20)t(32,32,28)*s(32,32,20)*s(24,8,12)+
c(32,40,20)t(24,40,20)s(40,8,12)s(8,40,12)+--
s(24,24,20)c(24,40,20)c(40,40,20)*t(32,24,20)-+
s(40,40,28)c(24,32,20)c(40,40,12)+*c(24,24,20)*
s(24,40,28)c(24,24,20)t(24,24,20)-+c(40,40,20)*
s(16,32,20)t(40,24,20)+s(40,32,12)-c(32,32,28)*
s(32,24,28)c(24,32,20)c(16,16,12)--c(24,16,12)-
s(40,40,28)c(40,32,20)c(16,48,12)c(32,32,20)+**
t(32,48,20)s(32,40,20)t(48,40,12)t(40,24,20)++*
s(40,24,12)t(24,32,20)+s(48,32,20)-t(24,40,28)*
s(48,32,20)s(48,16,12)+t(40,32,12)-t(32,40,20)-
s(24,32,28)t(16,24,12)t(32,48,20)+c(32,24,20)--
s(40,40,28)t(24,32,28)s(48,16,20)+c(32,40,12)-*
t(24,32,20)c(24,40,20)c(40,32,20)s(32,24,20)+--
s(16,16,12)s(40,48,20)+s(40,40,28)c(24,40,20)**
t(48,48,12)s(32,48,12)+c(32,32,20)+s(40,32,28)*
s(32,24,28)s(32,32,20)t(24,40,20)-s(16,32,20)+*
t(32,32,28)s(16,16,12)c(48,24,12)+c(40,24,20)*-
s(24,24,20)s(32,24,20)t(24,24,12)-s(16,32,12)+*
s(24,40,28)c(32,48,12)-t(32,32,28)*s(24,32,20)*
s(24,40,20)t(24,40,28)*s(24,48,20)s(40,32,12)+*
s(24,16,12)t(32,48,12)+c(32,32,28)s(24,32,12)-*
s(16,48,12)s(8,16,12)c(40,24,20)s(48,24,20)-++
c(48,16,12)t(40,40,20)s(48,40,20)*+s(48,40,12)+
s(48,32,12)s(24,32,20)t(40,40,20)-+c(32,24,12)-
c(40,40,20)t(24,40,20)c(16,32,12)+t(24,32,20)*-
c(16,16,12)s(40,48,20)t(40,32,20)+s(32,24,20)-+
s(24,32,28)c(40,40,20)-t(24,32,28)+s(16,48,20)-
s(24,32,20)s(16,32,20)*s(16,40,20)*t(32,56,12)+
t(24,24,20)s(40,16,12)c(32,32,20)+c(48,24,12)-*
c(16,24,12)s(24,40,20)t(24,32,28)+t(32,48,28)*+
s(24,24,20)s(32,40,20)+s(8,24,12)s(32,16,12)++
t(32,40,28)t(24,48,20)s(32,32,12)+*t(32,40,12)-
c(40,32,20)t(32,24,20)*s(48,16,20)+s(24,40,28)-
c(40,24,20)s(16,24,12)c(16,48,12)t(40,24,20)++*
s(48,24,12)s(24,24,12)s(40,32,20)s(32,32,20)*++
s(40,32,28)s(8,8,12)c(32,32,12)+*s(24,48,12)+
s(8,16,12)s(16,32,20)+s(16,40,20)c(32,48,12)-+
s(32,32,20)s(40,40,20)*s(32,32,20)t(24,48,28)-+
t(16,24,12)t(48,16,12)+s(32,16,12)c(40,32,12)++
s(32,24,20)s(40,8,12)+t(40,40,20)-t(24,32,28)-
s(48,8,12)s(24,48,12)t(32,32,20)++s(40,48,20)-
s(16,8,12)s(32,24,28)s(24,32,28)*c(40,24,20)*+
c(40,40,20)s(32,32,28)*t(40,24,12)c(24,40,20)++
s(24,16,20)t(48,56,12)+s(32,16,20)*t(32,40,20)-
s(24,48,12)s(32,8,12)s(40,24,20)+s(24,32,20)++
s(48,24,12)s(40,32,28)s(40,16,12)c(40,48,12)+*+
s(16,32,12)s(16,48,20)c(32,40,12)-s(24,40,20)-+
s(32,16,20)s(16,40,12)+t(24,32,28)s(32,48,20)+*
s(40,48,20)c(40,40,20)t(40,24,12)-*s(8,8,12)+
t(24,24,12)s(48,24,20)+c(32,16,12)+s(24,40,20)+
t(32,40,28)s(48,48,20)+s(48,48,12)-c(40,24,12)+
s(40,24,20)s(32,32,28)*t(40,40,20)s(40,48,20)*-
c(32,32,28)s(24,32,20)s(24,24,12)--t(32,40,28)-
c(32,32,20)c(24,48,12)+t(24,48,28)s(32,32,28)*-
s(32,40,28)s(48,32,12)-c(24,40,20)*t(32,40,28)*
t(40,40,20)t(24,40,28)s(8,16,12)s(32,24,28)+--
s(32,40,12)s(24,40,28)c(24,24,20)*+c(40,40,20)*
s(24,48,20)s(32,32,28)s(40,24,28)*+c(40,24,20)*
s(32,40,28)c(16,24,12)-s(24,16,20)+s(24,40,28)*
t(16,48,12)s(32,32,28)t(48,24,12)-s(48,40,20)*+
s(24,32,20)t(40,48,20)+s(32,32,20)s(8,16,12)+*
c(32,32,28)t(24,48,28)s(40,40,20)-c(32,32,20)--
s(48,24,20)c(24,32,20)c(24,32,12)--t(32,24,12)+
s(32,32,20)t(24,16,12)s(8,32,12)++t(32,32,28)-
s(24,32,28)s(24,48,20)-s(40,40,12)-s(16,8,12)+
s(24,24,12)t(16,40,12)+c(48,40,12)+t(24,40,28)*
s(24,40,28)c(32,24,12)s(24,32,12)+t(24,16,12)+*
s(32,24,28)t(40,40,20)-c(24,32,20)+s(40,24,28)*
c(16,16,12)t(16,48,12)+s(16,32,20)c(40,24,20)--
s(48,24,12)t(32,32,28)+c(40,40,20)*s(24,32,28)*
c(24,24,20)s(32,32,28)*s(40,40,12)-s(40,40,20)+
t(32,40,28)t(40,40,12)-s(32,32,12)-t(32,48,28)+
s(48,16,20)c(32,32,28)t(32,40,28)-t(16,16,12)-+
s(32,32,20)c(32,40,20)t(32,40,28)*t(16,40,12)-*
t(32,32,28)s(48,16,20)t(48,24,12)-s(24,40,20)+*
s(24,24,28)s(40,32,28)s(32,40,20)*s(24,24,12)+*
t(24,32,28)s(24,24,20)*t(32,24,12)-c(40,16,12)+
t(32,48,20)s(32,24,28)s(16,16,20)s(40,32,12)+*+
c(24,40,20)s(32,32,20)c(32,32,12)--s(32,16,20)-
s(40,40,28)t(24,24,20)-t(40,32,12)c(48,48,12)+-
s(40,40,28)s(48,24,20)-s(32,40,20)s(24,32,28)**
s(40,16,20)s(24,24,20)c(32,32,20)*+s(40,24,20)*
s(32,16,20)s(16,32,20)s(16,40,20)*+t(32,24,20)*
c(24,40,20)t(24,32,28)*t(40,56,12)c(32,32,12)+-
c(32,24,20)t(16,48,12)s(32,24,20)+c(24,40,20)**
c(40,24,20)t(40,32,20)t(16,16,12)++s(16,32,20)+
s(32,32,28)t(40,40,12)s(48,32,12)+-c(16,48,12)-
c(40,32,20)t(40,48,20)-s(40,32,20)*c(24,24,20)+
c(24,24,20)s(32,24,28)*t(24,32,28)c(16,24,12)+*
s(16,16,12)t(32,24,20)t(24,40,20)++c(48,24,12)+
t(24,32,28)s(32,40,20)*s(32,16,20)t(16,24,12)+-
s(16,16,20)c(32,24,20)c(24,24,20)*s(40,24,20)-+
s(24,24,28)c(32,32,28)s(24,16,20)-s(48,16,20)-*
s(24,24,20)c(16,32,12)t(16,16,12)+s(24,40,28)*-
s(16,16,20)t(32,56,12)s(32,24,28)+*c(32,32,28)*
s(32,24,28)c(24,40,12)s(8,32,12)+c(32,24,20)+*
c(40,24,20)t(32,32,12)-s(48,48,20)+s(24,24,20)-
t(32,40,20)t(40,48,20)c(24,24,12)++t(24,40,20)*
s(40,24,28)c(24,40,20)c(40,48,12)s(32,40,20)+*-
s(40,48,20)c(40,40,20)s(16,32,20)-*t(24,24,12)+
c(40,32,20)t(24,32,28)s(24,40,28)*-s(32,48,20)-
c(48,48,12)s(8,16,12)s(40,32,20)+s(24,32,28)*+
s(32,40,28)s(24,40,28)*c(16,16,12)t(24,40,20)+*
s(40,48,20)c(24,40,20)s(32,48,20)+t(32,48,28)**
s(24,40,28)t(24,24,20)s(24,40,12)+*c(24,24,20)*
s(8,32,12)s(32,24,20)t(32,32,20)-+s(40,32,28)-
t(24,32,28)s(16,24,20)+s(32,32,12)-s(24,16,20)-
c(48,48,12)s(40,40,12)+t(32,32,20)+c(48,32,12)+
t(32,40,28)c(24,40,12)-s(24,40,28)*s(48,48,12)+
c(32,32,28)s(24,40,28)t(32,32,28)-*s(32,40,20)+
s(8,40,12)s(24,16,20)+s(40,16,12)-c(24,32,12)-
t(24,48,28)s(24,32,12)t(32,40,28)s(16,32,20)-+*
c(24,32,20)s(40,40,28)*s(16,40,12)-t(40,24,12)-
t(40,48,12)s(32,16,20)+c(40,40,20)s(24,40,28)*-
t(32,48,20)t(32,16,12)s(16,32,20)s(32,32,28)*+-
c(40,32,20)c(16,48,12)+c(24,24,20)*s(32,24,20)+
s(40,48,20)c(48,40,12)+t(32,32,28)c(24,40,20)+*
t(32,48,28)s(8,48,12)s(48,48,20)+s(48,32,20)-+
s(32,32,20)s(24,32,28)s(40,16,20)-t(24,32,28)**
s(40,40,12)t(24,48,12)t(40,32,20)++s(48,32,20)+
c(32,32,20)s(40,16,20)*s(16,16,12)+c(24,40,20)-
s(40,32,28)c(40,24,20)c(24,48,12)+s(32,32,28)--
c(40,32,12)c(24,40,20)+s(24,40,20)s(8,24,12)+*
s(16,8,12)c(24,40,20)s(32,32,28)*+s(40,24,12)+
s(16,24,20)s(40,8,12)c(24,16,12)+t(32,32,28)++
s(40,16,12)s(40,16,20)t(32,24,12)-s(40,40,20)-+
c(40,24,20)s(48,40,20)t(40,48,20)+-c(32,24,12)+
s(40,24,20)c(48,40,12)+c(32,32,20)s(32,48,12)-*
s(40,40,20)t(24,48,28)t(40,40,20)s(16,40,20)-++
s(16,8,12)t(40,48,12)s(40,40,12)++c(24,16,12)-
s(40,32,28)s(48,40,20)*s(32,16,20)+s(40,40,28)*
t(24,32,20)s(24,24,28)s(32,8,12)t(40,40,20)+-*
c(32,32,20)c(16,40,12)c(40,24,12)+*c(24,32,20)+
c(32,32,20)c(32,24,20)s(24,24,20)c(32,40,12)--*
c(32,32,28)s(24,16,20)s(32,40,28)--c(32,32,20)*
s(48,16,20)s(40,48,12)+c(32,32,28)*s(48,32,20)+
s(24,24,28)s(8,16,12)-t(40,40,12)s(48,24,12)+-
c(24,32,20)s(48,24,20)s(48,32,20)*-t(32,48,28)-
s(48,24,20)c(40,40,20)-t(32,32,28)+s(32,24,20)*
t(32,32,28)c(40,40,20)*t(40,48,20)t(24,32,28)+*
t(32,48,28)c(16,40,12)t(16,16,12)+t(24,32,28)*+
s(48,24,12)t(32,32,28)c(48,32,12)-+t(32,24,12)-
t(24,32,28)c(24,32,20)*s(24,24,28)s(16,40,12)-+
c(32,24,20)s(40,48,20)s(48,16,12)+t(16,40,12)+*
s(32,8,12)s(40,32,20)+t(24,32,28)t(24,40,20)*-
s(40,32,28)s(16,16,20)+c(32,24,20)*t(40,48,20)+
t(40,24,20)s(40,16,20)*t(48,24,12)+t(40,32,12)-
c(32,32,20)s(40,24,28)*t(48,40,12)-c(40,32,20)*
s(40,24,20)s(40,24,12)-s(48,8,12)+s(32,32,12)+
s(24,48,20)c(48,48,12)t(32,32,20)+t(24,48,20)+*
s(48,16,20)s(48,40,20)s(32,32,20)s(32,48,20)*+-
s(40,24,28)t(16,48,12)c(16,16,12)+s(40,24,20)+*
s(40,24,28)s(24,16,12)t(32,24,12)+-s(16,24,12)+
s(40,16,20)s(32,24,20)c(32,24,12)-+c(16,48,12)+
s(40,24,20)s(48,32,12)s(32,32,20)t(40,40,20)-+*
s(16,16,20)c(40,32,20)s(24,24,20)+c(24,24,12)--
t(24,48,28)s(32,32,20)s(40,48,20)+s(40,40,12)-*
s(24,24,28)s(32,48,20)-t(32,24,12)-s(32,40,28)-
s(32,32,28)c(40,48,12)t(32,32,28)+s(24,40,28)+*
s(48,40,20)s(24,32,28)s(40,40,20)-+s(48,24,20)*
s(32,24,28)s(40,24,28)s(32,16,20)c(24,32,12)--*
s(32,24,28)s(32,32,28)s(40,32,28)s(48,24,20)-**
s(16,40,20)s(32,40,28)t(16,32,12)-s(24,40,20)*+
c(16,32,12)s(32,32,12)c(48,40,12)++s(32,40,20)+
s(16,16,20)t(24,40,28)s(40,40,28)*-s(8,32,12)-
s(40,8,12)c(40,48,12)+t(32,48,12)-s(32,16,20)+
c(24,24,20)c(24,32,20)*s(8,24,12)-s(16,40,20)-
s(40,32,28)s(16,48,20)-s(48,48,20)-s(24,24,20)-
s(40,40,28)c(32,24,20)s(24,40,28)*-s(40,32,28)*
s(48,40,20)c(32,32,28)*s(40,48,20)*s(32,40,20)+
s(24,16,20)c(24,32,20)t(16,24,12)t(24,40,28)+*-
s(24,40,20)s(40,40,28)*t(16,56,12)+t(40,48,20)+
t(24,40,28)s(32,48,12)-t(40,48,20)s(32,48,20)*+
c(32,24,20)s(40,48,20)c(16,48,12)s(32,40,20)+*-
s(32,24,12)t(24,56,12)+c(40,32,20)+c(16,16,12)+
s(32,24,28)s(48,24,20)-s(24,40,12)-t(16,40,12)+
c(48,24,12)c(24,24,20)s(24,40,20)-c(40,40,12)++
s(32,32,28)c(40,48,12)t(48,48,12)+c(24,40,20)++
s(40,32,20)s(16,40,20)-s(24,32,28)*s(40,40,20)+
s(24,24,20)s(24,40,28)*s(24,24,28)t(32,32,28)**
s(24,40,28)t(32,24,20)+t(40,24,20)-s(32,24,28)*
c(40,48,12)s(32,32,12)t(24,24,12)++s(40,32,20)*
s(24,40,20)c(40,40,20)*s(40,48,20)s(24,48,12)-+
s(32,32,20)s(40,24,28)s(24,32,20)t(24,24,20)--*
s(24,16,20)c(40,24,20)s(24,24,20)-t(24,16,12)+-
c(32,32,28)c(40,32,12)-s(40,24,28)c(32,24,20)**
c(40,40,20)c(32,40,20)t(16,56,12)+t(32,40,20)--
c(24,24,20)s(24,40,28)*s(40,24,20)+s(48,16,20)*
c(16,40,12)s(48,16,20)+s(24,40,20)*s(40,32,20)+
s(16,32,12)s(24,32,28)s(8,32,12)-c(40,24,12)-+
s(24,24,28)c(40,32,20)t(24,32,28)t(24,48,12)+**
c(32,32,20)c(40,48,12)-t(32,32,20)t(40,40,12)--
t(32,40,20)s(40,16,12)+t(24,40,28)*c(48,40,12)+
c(16,24,12)s(24,40,28)c(40,24,20)*+s(24,24,20)*
s(16,48,20)t(24,24,12)+c(24,32,12)-t(32,32,28)+
t(32,40,28)t(24,32,20)c(48,40,12)+s(32,40,20)**
c(32,40,20)c(24,40,20)*s(48,32,20)s(40,16,12)--
s(16,32,20)s(48,16,20)s(16,48,20)c(48,40,12)++-
c(16,16,12)c(16,48,12)t(24,40,20)++s(32,32,28)*
s(8,40,12)s(32,40,28)+s(24,32,28)*c(32,40,20)*
s(8,24,12)c(32,32,20)c(40,48,12)-+s(16,32,20)*
s(16,40,20)c(32,32,28)*s(8,32,12)t(40,24,12)+-
s(16,32,20)s(32,32,20)c(32,40,20)*t(16,16,12)+*
c(32,32,28)s(24,16,20)s(32,32,28)*-s(48,32,12)-
s(32,48,12)s(40,24,12)+s(48,16,20)s(24,40,20)+*
t(24,40,20)s(24,24,20)s(40,40,20)-+t(24,48,28)*
s(24,24,28)s(24,40,28)s(40,32,28)t(40,16,12)-**
s(32,48,20)s(32,8,12)+s(32,40,20)c(40,16,12)+*
s(24,32,28)t(32,40,28)+c(24,24,12)t(40,56,12)+-
s(24,40,20)s(16,16,20)-t(48,24,12)+s(32,40,20)+
s(16,16,20)s(40,40,28)s(40,24,12)-+t(32,48,12)-
s(16,8,12)s(32,32,28)+s(48,16,20)+s(48,16,20)-
s(32,40,20)c(40,16,12)+t(16,16,12)+s(48,32,20)*
c(40,24,20)s(40,32,28)*s(48,24,20)*t(24,32,12)+
c(24,24,20)s(16,48,20)c(24,40,20)*s(40,48,12)+-
s(16,24,20)s(32,24,20)s(48,40,20)-c(24,40,12)--
s(24,48,20)c(32,32,28)c(48,40,12)-s(24,32,28)**
c(40,24,20)s(32,32,20)*c(24,32,20)*c(24,40,12)+
t(32,32,20)t(16,48,12)+t(48,32,12)c(40,16,12)+-
s(16,48,20)t(24,48,28)*t(32,32,20)-s(24,40,28)*
s(32,32,28)c(40,48,12)-s(48,40,20)s(48,40,12)--
c(24,32,20)s(40,16,20)s(32,32,20)-+s(16,16,20)-
c(32,40,20)t(32,48,28)s(32,24,28)t(32,40,28)-+*
t(40,48,20)c(32,24,20)s(24,40,20)-t(32,24,20)-+
c(24,32,20)t(40,24,20)+s(8,16,12)s(40,40,12)++
s(24,40,28)c(32,32,20)t(32,40,28)c(16,16,12)++-
t(32,48,28)c(32,24,20)s(24,32,28)s(16,40,20)*+*
s(16,40,20)c(32,32,28)*s(40,48,20)+s(16,48,20)*
c(32,24,12)c(48,40,12)+c(32,32,20)s(24,40,28)*+
c(24,24,12)t(24,40,20)+s(32,40,28)t(24,48,28)--
s(32,16,20)s(16,24,20)t(24,32,20)s(48,48,20)-+-
s(32,24,20)c(16,16,12)-t(32,32,28)*t(32,40,28)+
s(40,24,28)c(24,32,20)+s(16,32,20)*t(24,40,12)-
t(48,24,12)t(24,24,12)t(24,40,20)+t(32,40,28)*+
t(32,32,20)s(40,48,12)+t(24,40,20)t(32,24,12)++
t(32,40,28)t(24,40,12)s(32,32,28)t(40,24,20)*+*
c(40,32,20)s(48,16,20)s(32,32,20)--s(48,48,20)*
s(32,40,28)c(24,32,12)s(40,24,20)t(40,32,12)-+*
c(32,40,12)t(32,40,20)s(48,16,20)+s(32,40,12)-+
s(16,16,20)c(24,32,20)s(24,48,20)s(32,16,12)+*-
c(40,32,20)s(24,32,28)*c(32,32,28)c(40,24,20)--
s(48,32,20)s(40,40,20)+s(48,24,20)c(40,16,12)--
s(40,24,28)s(32,40,28)t(24,40,28)*+s(24,40,20)-
c(24,32,20)c(32,32,20)t(32,48,12)-s(24,40,28)*-
s(24,24,28)s(8,24,12)-t(48,16,12)+t(32,32,28)*
s(40,40,28)c(40,24,20)s(48,24,20)**s(48,48,12)+
s(40,40,20)c(32,32,20)*s(32,40,20)*t(32,32,28)*
c(40,40,12)s(40,48,12)c(32,32,12)++s(16,48,12)+
s(16,32,20)s(32,48,20)-c(24,40,20)t(32,32,28)+*
s(40,32,20)c(40,40,12)t(32,56,12)s(16,48,20)++-
c(40,32,20)s(24,32,20)c(40,24,20)t(32,32,28)-+*
t(32,24,20)s(24,32,28)c(40,32,20)*s(16,16,12)+*
s(48,16,20)s(8,40,12)s(48,24,20)t(40,40,20)-+*
t(24,40,28)t(32,40,28)*c(32,40,20)s(24,40,20)--
t(40,32,12)t(32,40,28)t(24,24,20)-+t(24,32,28)-
c(24,24,20)s(48,48,20)s(32,40,28)c(32,24,20)*+*
c(32,32,28)s(24,40,20)-c(32,32,28)s(32,48,20)-*
c(48,16,12)c(32,32,20)s(40,40,20)*t(40,48,12)-+
t(24,40,20)c(24,32,20)t(32,48,12)-s(48,16,20)-+
s(24,32,28)s(40,24,28)s(40,40,28)**s(24,48,12)-
t(32,48,12)s(8,40,12)+t(24,48,28)c(24,32,20)-+
t(32,16,12)s(24,48,20)t(32,40,20)-s(24,40,28)*+
s(32,40,20)c(16,16,12)s(40,40,28)t(24,24,20)-+*
s(32,40,20)s(48,24,20)s(40,32,28)c(32,32,20)**-
s(48,32,20)s(16,32,12)+c(32,40,20)c(24,48,12)-*
c(16,48,12)t(32,48,20)+t(24,48,28)s(32,24,20)-*
t(24,24,20)s(40,32,28)s(24,40,28)s(40,16,20)-*-
t(32,40,20)s(24,32,20)t(24,56,12)++s(32,24,12)-
c(48,16,12)c(32,24,20)s(32,32,28)+s(24,40,12)-+
s(40,32,20)s(48,24,20)s(40,32,28)*+s(48,24,20)*
s(40,24,20)s(48,40,20)+s(48,40,12)-s(24,32,20)-
t(32,24,12)c(48,24,12)+t(40,24,20)*s(16,32,12)+
t(32,48,28)s(40,32,28)t(32,48,20)s(40,48,20)+*-
c(40,32,20)s(32,32,28)s(8,16,12)s(40,48,20)+**
c(24,40,20)s(48,40,12)t(40,48,20)++s(40,40,28)*
c(16,32,12)s(48,40,20)c(32,32,20)*t(24,24,20)++
t(48,40,12)s(40,40,20)s(32,24,28)*s(32,48,12)++
c(40,24,20)s(24,16,20)t(24,24,12)-s(24,40,20)+-
s(48,32,20)s(40,32,28)t(24,40,28)-*t(16,56,12)+
s(32,32,28)t(16,56,12)s(16,24,20)+-s(16,16,12)+
s(48,40,20)s(40,32,28)s(48,40,12)-c(40,32,20)*+
s(16,32,20)c(40,32,20)c(24,24,20)*+c(32,24,20)-
c(32,24,20)c(40,24,20)c(40,40,20)+*c(24,24,12)+
s(48,32,20)s(24,16,20)s(16,16,12)-+s(48,24,20)*
c(32,32,20)s(40,24,20)s(24,32,28)*s(40,8,12)+-
t(32,40,12)s(32,32,12)+t(40,48,20)+t(24,40,20)-
s(32,8,12)c(40,40,20)t(32,32,28)c(40,32,20)*++
s(16,24,20)t(48,16,12)+c(32,32,28)s(48,48,12)-*
s(24,48,20)t(48,48,12)t(24,16,12)+c(40,40,20)+-
s(32,40,12)c(16,48,12)+t(16,32,12)c(16,48,12)+*
c(24,32,20)s(40,40,20)*s(8,32,12)s(40,48,20)++
s(32,16,20)t(24,32,28)c(16,24,12)--t(24,48,28)+
s(40,24,28)c(24,24,12)-s(48,8,12)s(32,40,12)+*
t(32,48,28)s(48,24,20)c(32,48,12)+*c(48,32,12)+
s(48,40,20)s(40,16,20)t(24,24,12)+c(48,32,12)-+
s(32,40,20)c(40,32,20)s(32,24,28)t(32,32,28)***
s(24,48,20)t(32,32,28)t(24,32,12)s(40,40,20)+*-
s(32,32,20)c(32,40,20)s(48,32,20)+s(24,40,20)*+
s(8,32,12)s(32,24,20)+c(32,48,12)s(48,24,20)+*
s(48,24,12)s(32,40,20)s(32,24,12)+s(40,24,20)-+
s(24,32,20)s(40,32,28)t(24,48,20)s(40,32,12)++*
t(32,48,28)c(24,48,12)c(32,24,20)+t(24,48,28)**
t(40,32,20)t(40,16,12)+s(48,40,12)+t(48,56,12)+
s(24,32,28)t(32,24,20)c(48,32,12)+s(48,32,12)-*
s(16,32,20)c(40,24,20)+s(48,16,20)*s(32,32,20)+
s(24,40,28)c(24,32,20)*s(24,40,20)t(32,24,12)-*
s(32,24,28)c(24,24,20)s(40,16,20)+t(32,24,20)-*
c(24,24,20)c(40,24,12)+t(32,48,28)-c(40,16,12)-
s(40,40,28)c(32,48,12)c(40,32,20)+*s(24,40,20)*
c(40,32,20)c(32,40,20)c(32,32,20)*+t(32,24,20)*
c(40,32,20)t(24,40,28)s(32,48,20)--c(32,24,12)-
s(40,16,20)s(24,32,20)-s(40,16,20)s(40,32,28)*+
s(40,8,12)s(16,32,20)s(48,32,12)++s(24,40,20)+
s(24,24,28)s(24,40,28)s(40,40,20)c(32,32,20)*--
s(32,8,12)s(24,24,20)+s(40,32,28)*t(24,32,28)*
c(40,32,20)s(32,40,12)s(40,24,20)+*s(32,40,20)-
t(24,48,28)t(32,48,20)-s(24,24,20)-s(32,40,12)+
s(40,24,28)c(32,32,20)t(16,40,12)--s(16,8,12)+
s(16,24,20)s(24,32,28)s(24,32,12)-s(32,32,20)++
s(24,48,20)s(16,24,12)+t(16,40,12)-c(24,24,12)-
c(32,24,20)s(32,32,28)c(32,16,12)-t(32,32,12)-*
s(48,16,20)s(48,40,20)c(48,24,12)+s(40,24,28)*-
s(24,16,12)s(40,16,12)t(32,48,20)+c(32,40,20)*+
c(40,32,20)c(32,32,28)t(32,32,20)-+t(24,48,20)*
s(24,40,28)s(32,40,20)c(24,32,20)*-s(48,24,12)+
t(24,48,28)c(24,40,20)s(32,40,20)c(32,24,20)*-+
s(40,24,28)t(32,16,12)-s(48,32,20)*c(32,32,12)-
s(32,48,20)s(24,24,20)t(40,24,20)-s(16,16,20)+-
t(40,48,20)s(32,24,20)s(16,32,12)-s(40,40,20)+*
s(24,24,20)s(48,48,12)+c(40,32,20)t(32,32,28)**
s(24,24,20)s(32,16,20)s(48,24,12)--t(16,56,12)+
t(48,48,12)c(32,32,20)s(40,32,12)-+s(24,32,20)*
t(32,48,28)s(16,48,20)s(32,16,20)+*t(40,32,20)+
s(40,32,28)c(16,48,12)s(24,24,28)+*t(40,32,20)-
t(24,32,20)s(16,16,20)+c(24,24,20)+c(24,40,20)*
c(40,40,20)c(40,48,12)-s(24,32,12)+c(32,40,20)*
s(32,16,20)s(40,24,20)*t(24,32,20)s(32,40,28)*+
c(32,32,28)s(40,24,20)t(24,56,12)c(40,40,20)+--
c(24,24,20)s(24,48,20)-t(32,32,20)+s(24,16,20)*
s(40,40,12)c(40,32,12)+s(48,16,20)+t(32,24,20)-
s(32,24,28)t(32,40,28)c(32,40,20)+*s(40,40,12)-
s(40,40,28)t(32,32,20)*t(24,40,28)+t(24,40,12)-
s(32,48,20)s(24,40,20)*t(24,40,28)s(40,40,28)**
c(24,48,12)s(16,32,20)s(40,24,20)c(24,24,20)*-+
c(24,40,12)s(16,16,20)+s(8,8,12)s(16,40,20)+*
c(16,40,12)s(40,16,20)c(24,24,20)*+s(40,8,12)-
c(16,40,12)t(32,24,12)+s(24,48,20)t(16,48,12)-+
c(24,32,20)s(24,48,12)-s(24,40,28)s(24,24,20)*-
c(32,24,20)c(24,32,20)s(16,16,12)+*t(24,32,28)*
s(48,16,20)t(40,56,12)t(32,24,20)+-s(48,40,20)-
s(32,40,28)t(32,32,20)t(40,24,20)c(24,32,12)---
c(40,32,20)c(32,32,20)*s(32,40,28)*s(16,48,12)+
s(16,16,20)c(24,24,20)s(40,24,28)t(32,24,20)--+
s(16,24,12)s(40,32,28)+c(16,24,12)-c(40,16,12)-
c(32,40,20)s(16,24,20)s(8,48,12)s(32,24,20)+*+
s(40,32,28)t(24,32,20)s(16,32,20)*-t(24,48,28)+
s(24,32,20)t(40,40,12)+s(32,40,28)*c(16,32,12)-
s(32,40,28)s(40,8,12)t(24,40,28)+*c(16,24,12)+
c(40,24,20)t(48,40,12)-c(24,32,20)+c(16,24,12)-
c(32,32,20)t(24,40,12)-c(40,24,20)t(40,48,12)+*
t(32,24,20)c(40,24,12)s(16,40,20)c(40,32,12)++*
c(24,32,20)s(32,24,28)s(48,24,20)*t(40,48,20)--
c(40,40,20)c(24,40,12)+s(40,24,12)-s(40,32,28)*
s(24,40,28)t(32,32,28)t(32,48,12)s(40,24,28)+*-
s(32,40,28)s(32,32,28)+c(16,48,12)c(40,40,20)+*
c(32,24,20)c(40,40,20)-t(16,16,12)+t(40,48,20)+
c(24,32,20)s(32,48,20)-s(16,32,20)*s(16,40,20)+
s(16,24,20)s(32,24,28)s(40,48,20)+*c(32,32,12)-
s(32,48,12)s(48,40,20)+s(32,24,20)+s(24,16,20)-
t(24,24,20)t(32,40,20)+c(40,24,20)c(32,32,20)**
s(16,32,20)t(24,16,12)t(24,40,28)+s(32,24,12)-*
c(40,24,20)t(24,48,28)+s(16,8,12)s(24,40,20)++
s(16,32,20)s(24,48,20)s(40,32,12)t(24,32,28)+*+
s(16,48,20)s(48,24,12)s(40,40,20)++t(16,48,12)-
t(24,32,28)s(48,48,20)+s(40,16,20)+s(32,40,28)-
t(16,56,12)t(48,16,12)t(40,24,12)++t(24,56,12)-
t(16,48,12)t(24,40,12)t(32,32,20)++s(16,32,20)+
s(48,24,12)t(16,40,12)+t(48,40,12)+c(24,40,20)+
c(32,40,20)s(40,32,28)*s(32,40,28)t(32,48,12)-*
s(32,32,12)s(32,48,20)+s(32,24,28)s(32,40,20)+*
s(40,16,20)t(16,24,12)s(32,40,28)s(40,24,20)*+-
c(40,24,20)c(32,16,12)-t(32,32,28)t(32,40,20)*+
t(48,56,12)t(40,40,20)s(48,40,20)t(40,48,20)-++
t(32,40,28)t(32,32,28)+s(16,48,12)-t(32,48,12)-
s(40,32,28)t(24,32,28)s(24,40,20)*s(16,32,12)+*
t(24,40,28)s(32,24,28)c(24,32,12)s(16,16,12)+*-
s(32,24,28)s(32,32,28)s(40,32,28)*s(48,48,20)--
s(48,32,20)t(40,32,20)t(24,40,12)s(40,48,20)++*
s(8,8,12)s(48,8,12)+c(24,48,12)+s(32,24,28)-
c(32,32,20)t(32,32,28)*s(40,24,20)*s(48,40,12)+
t(24,48,28)c(32,40,20)+c(16,40,12)-s(48,40,20)*
c(24,32,20)c(32,24,20)t(48,24,12)-t(24,16,12)-*
t(24,24,12)t(24,48,28)s(32,40,20)*+s(16,40,20)*
t(32,32,28)s(32,40,28)*c(24,48,12)-t(32,40,28)*
s(24,40,20)s(48,24,20)s(24,48,12)+s(40,32,12)-+
c(16,16,12)c(40,48,12)t(24,40,12)++t(16,16,12)-
t(16,24,12)s(32,40,20)s(32,16,20)-s(40,48,20)*+
s(40,40,28)s(24,40,20)t(40,32,20)-+s(16,48,20)-
s(16,40,20)s(24,32,28)*s(16,32,20)*s(24,32,20)*
s(40,40,28)s(32,24,28)+s(24,24,20)c(40,32,12)-*
s(16,40,20)s(16,48,12)s(48,24,20)c(24,24,20)-+-
s(40,40,28)s(40,40,28)c(24,32,20)*-s(32,40,28)+
t(32,32,20)t(24,40,28)+t(24,48,28)c(32,40,20)**
s(40,32,20)c(40,32,20)s(32,48,20)s(32,40,20)**-
s(32,32,28)s(8,48,12)+c(40,24,20)-c(16,32,12)-
s(24,24,20)c(32,32,20)s(40,16,12)+s(16,40,12)-*
s(16,40,20)t(24,48,20)-s(48,48,12)+c(40,32,20)-
s(32,48,20)s(40,16,20)+s(16,16,12)t(32,48,28)+*
s(16,48,12)s(24,40,12)+t(32,48,20)s(32,24,28)--
s(40,32,28)s(8,16,12)t(40,40,20)+-c(24,16,12)-
s(48,48,20)s(40,40,12)-s(40,40,20)+c(40,32,20)-
s(32,40,20)s(40,32,20)*s(16,48,12)+s(32,40,12)-
t(40,32,12)s(24,32,12)s(16,16,20)+c(16,40,12)++
s(16,48,20)s(40,16,12)t(32,32,28)+s(24,40,28)*+
c(40,32,20)t(40,24,20)-c(32,32,20)*t(48,48,12)-
s(32,24,28)s(32,32,28)t(32,48,28)-s(16,16,20)+-
c(24,32,20)s(8,40,12)+s(32,40,28)*s(32,32,12)-
s(16,40,20)s(32,40,28)c(24,32,20)s(48,32,12)+**
c(40,32,20)c(16,40,12)t(48,56,12)+s(24,48,20)+-
s(32,40,20)t(32,32,28)s(16,32,20)s(32,40,28)**+
t(32,48,28)s(32,24,20)+c(32,40,20)s(40,24,28)*-
s(40,16,20)s(16,48,20)s(32,48,20)t(40,32,12)-*+
c(40,40,20)c(40,32,20)s(24,32,28)*-t(16,56,12)+
s(40,48,20)s(32,24,20)s(32,40,28)*+s(24,32,28)*
s(32,32,20)s(48,40,20)s(40,24,12)--c(40,40,20)+
c(40,24,20)c(16,32,12)t(40,32,20)+*s(40,32,20)*
s(40,24,20)s(32,24,28)s(40,40,20)-s(16,40,20)+*
s(16,48,20)s(24,8,12)c(24,32,20)c(16,16,12)-+*
t(32,56,12)t(32,24,12)+s(24,32,28)t(24,32,12)-+
s(24,16,20)t(16,16,12)-s(32,48,20)c(48,48,12)-+
s(24,24,20)t(24,32,28)s(40,24,20)c(32,40,20)*+*
t(32,32,28)c(32,32,20)c(32,48,12)+s(24,40,20)*-
t(24,40,28)s(48,24,20)c(40,32,12)-s(24,24,28)+*
s(48,32,20)c(24,24,12)+c(32,40,20)*t(40,40,12)-
c(16,48,12)s(40,24,28)c(32,32,20)*t(40,40,12)-+
s(40,24,20)s(48,24,20)t(16,32,12)t(40,32,12)+--
s(32,32,28)s(32,48,20)s(32,40,20)+s(40,40,28)**
c(32,32,20)t(32,40,28)*c(32,24,12)+t(40,48,12)-
s(32,24,28)s(48,24,20)*t(24,40,20)+t(32,48,28)*
c(24,32,20)s(40,32,20)t(40,24,20)--t(32,48,28)-
c(16,16,12)t(24,32,28)s(32,40,20)*c(48,32,12)-+
s(8,16,12)c(32,24,12)s(32,48,12)++t(40,32,20)-
c(32,24,20)c(16,24,12)c(40,24,12)+t(32,48,12)+-
c(24,24,20)s(32,40,20)-t(40,16,12)t(48,24,12)+-
c(48,40,12)t(32,24,12)+s(40,24,28)s(40,40,28)**
s(16,32,20)c(32,32,20)*t(24,40,28)c(32,24,20)*+
t(16,16,12)c(32,32,12)c(40,32,12)+s(16,32,12)++
t(24,40,28)t(24,40,28)t(24,48,20)*-c(24,16,12)+
c(40,40,20)c(32,32,20)s(16,24,12)-t(40,24,20)-*
s(40,40,20)c(48,32,12)-t(16,16,12)c(24,40,20)+*
c(48,32,12)s(24,24,20)+s(16,16,20)s(16,24,20)*-
s(32,16,20)s(40,24,20)t(40,48,20)+c(32,24,20)**
s(32,48,20)s(24,32,20)s(32,24,28)*c(40,24,12)--
c(32,32,28)s(48,32,12)-s(48,32,20)+s(24,24,12)-
s(24,48,12)t(32,48,28)c(32,24,12)-t(16,48,12)-+
s(32,16,20)s(24,32,28)+t(32,32,20)s(48,48,12)+*
s(48,24,20)t(16,24,12)c(40,24,20)s(40,16,20)*+*
c(24,24,20)s(48,40,20)t(32,32,28)t(24,40,12)--+
s(48,48,20)c(16,32,12)s(32,32,20)+t(32,24,20)-+
c(32,32,28)c(24,32,20)c(32,24,20)*-s(40,24,28)-
s(24,32,20)s(16,48,20)+s(32,16,20)-t(24,48,20)*
t(24,40,28)s(24,24,28)*s(48,16,20)+t(32,48,20)-
c(32,32,28)c(16,32,12)-t(24,32,20)c(24,16,12)+*
c(40,40,20)s(32,40,28)c(24,24,12)-s(24,32,20)-*
t(32,32,28)s(32,24,28)s(32,40,28)*t(24,32,20)*-
s(24,32,28)s(48,8,12)t(24,56,12)s(40,32,28)++*
s(40,16,20)s(40,40,28)c(32,32,20)t(24,32,28)**-
t(24,48,28)c(32,40,20)c(24,40,20)*s(24,40,20)*+
s(24,32,28)c(24,40,12)c(40,48,12)+*t(32,48,28)*
t(32,40,28)c(16,16,12)s(8,40,12)+s(16,16,20)*+
s(32,32,20)s(32,32,20)s(40,24,28)*s(32,48,12)+*
s(40,32,28)s(16,24,20)s(24,16,20)*-s(40,48,20)-
c(24,32,20)s(24,48,20)-s(24,24,28)c(40,24,12)-*
s(40,48,20)c(24,32,20)t(16,24,12)-s(32,32,20)*-
s(32,32,20)t(32,48,28)s(40,40,28)c(40,24,20)*+*
c(48,48,12)s(32,32,12)+c(32,32,12)s(8,40,12)+-
c(48,24,12)s(8,40,12)c(32,32,12)+s(24,24,28)*+
c(24,32,12)c(24,24,20)s(16,16,20)-+s(24,24,12)-
c(24,24,20)t(24,40,12)-s(32,32,28)s(16,40,20)*-
s(32,40,28)c(24,24,12)t(24,40,28)+t(32,40,28)*-
s(24,24,28)s(16,24,20)s(24,32,12)t(48,32,12)++*
s(32,48,12)s(24,16,20)s(24,40,28)-t(32,24,20)++
c(48,16,12)c(24,32,20)+c(32,24,20)*s(24,32,20)*
s(32,40,28)s(32,24,28)*s(40,32,28)s(40,40,20)--
s(32,40,20)c(48,40,12)t(24,24,20)+s(32,32,20)+*
s(16,32,20)t(32,40,20)+t(16,24,12)-s(24,32,20)-
s(16,24,12)c(24,24,20)t(24,24,12)-+s(16,24,20)*
s(40,32,28)c(48,32,12)s(32,24,20)+*s(40,40,28)*
s(48,32,20)t(32,40,28)c(32,40,20)*-s(32,32,20)-
s(32,16,20)t(32,24,12)t(40,48,20)++s(24,40,20)-
c(24,24,20)t(24,40,28)*t(24,48,20)+s(16,8,12)+
c(32,40,20)c(24,24,20)+c(32,32,20)c(32,40,20)*-
s(32,8,12)s(40,16,20)s(32,32,12)-s(48,24,20)*+
t(16,40,12)s(48,16,20)c(32,32,20)-+c(24,48,12)-
c(24,16,12)s(32,24,20)s(40,24,12)c(32,40,20)+*+
t(24,16,12)t(24,40,12)c(48,32,12)++c(16,48,12)-
c(16,24,12)t(48,40,12)s(32,48,12)++s(32,16,20)-
s(32,24,28)c(24,24,20)-s(24,40,28)-t(24,56,12)+
s(24,24,28)t(32,32,20)t(40,48,20)+s(32,40,20)**
s(48,8,12)s(40,40,28)c(32,40,20)*+t(32,32,20)*
s(24,40,28)s(24,24,20)s(24,32,20)s(32,24,28)***
c(40,40,20)s(32,40,20)*c(40,24,12)-s(16,40,12)-
s(24,40,20)t(32,40,28)t(24,40,20)s(24,16,12)+--
s(32,32,28)s(40,32,28)*t(40,24,20)*s(48,24,20)+
s(24,24,28)t(48,16,12)s(48,40,20)+s(32,24,12)+-
c(40,24,20)s(32,32,20)t(24,32,28)*s(16,16,20)+*
t(24,56,12)t(32,40,12)+s(32,8,12)+t(24,40,28)-
s(16,32,12)t(24,40,28)s(40,40,28)*s(16,48,12)-+
s(24,40,28)s(16,48,20)s(32,40,12)-c(32,32,28)*-
s(16,16,12)c(32,48,12)t(48,40,12)++t(24,32,20)-
s(32,24,28)t(32,32,28)s(40,32,12)-s(16,48,20)+*
s(40,48,20)s(24,48,20)t(24,40,20)*-t(24,24,20)+
s(24,24,20)s(8,24,12)-s(24,40,12)s(40,24,20)+*
s(16,40,20)t(16,24,12)s(24,8,12)+-c(32,40,20)*
c(24,40,20)t(40,16,12)+s(48,40,20)s(48,32,20)*+
s(48,32,20)c(32,24,20)s(16,24,20)s(32,32,28)**+
t(24,40,20)t(32,48,28)t(24,40,28)t(40,48,20)---
s(48,32,20)c(32,24,20)s(32,32,28)*-s(48,40,12)+
s(16,48,12)s(40,32,20)t(24,24,20)+s(32,40,12)-+
s(40,32,28)t(40,56,12)c(32,40,12)+t(24,56,12)+*
s(16,32,20)s(24,24,20)t(24,40,12)+s(32,24,28)**
s(48,16,20)c(24,32,20)s(8,24,12)-c(32,40,20)*-
s(48,24,20)t(24,32,28)s(40,40,28)*-t(32,40,20)+
s(40,32,28)s(48,32,20)s(40,40,20)*-s(24,32,12)-
s(32,48,20)s(16,32,12)+s(24,24,12)t(32,48,28)+*
c(32,40,20)s(16,16,12)s(40,40,28)+s(32,48,20)--
c(24,48,12)c(16,40,12)s(48,40,20)+t(24,40,28)*+
s(40,24,28)c(32,16,12)-c(40,24,20)*s(24,24,20)-
c(40,24,12)s(16,24,12)+s(32,32,20)s(16,40,20)+*
t(24,32,12)t(16,16,12)+s(24,48,20)+s(16,32,20)*
s(24,32,20)t(16,40,12)s(40,40,28)c(48,32,12)-+*
t(32,40,12)s(32,24,20)+c(48,16,12)+s(32,16,20)-
s(32,24,12)t(24,40,20)t(48,48,12)s(24,32,12)+++
s(8,32,12)s(32,32,28)+c(16,24,12)t(16,40,12)+*
s(40,24,28)s(8,40,12)+s(40,40,20)-s(32,40,28)-
c(24,40,12)s(40,24,28)+t(24,48,28)t(32,48,28)*+
c(32,32,20)s(40,32,12)-c(24,24,20)*s(8,32,12)-
s(40,48,20)c(48,16,12)+t(40,48,12)-c(40,40,20)*
s(24,32,28)s(16,32,12)-s(24,8,12)+s(32,8,12)-
s(32,8,12)s(32,32,28)t(32,32,20)-c(24,32,20)*+
c(32,24,20)c(40,32,20)s(24,48,12)c(48,24,12)+-*
t(24,16,12)t(40,40,20)t(40,24,12)++c(16,16,12)+
c(40,32,20)s(32,48,12)-s(16,16,12)+t(32,24,20)*
c(40,40,20)s(32,32,28)s(24,24,28)*+s(40,48,20)*
s(48,16,20)s(48,48,12)t(32,32,20)+c(24,40,12)+-
s(40,40,20)c(24,32,20)s(32,40,28)*c(40,32,20)**
s(48,16,20)t(32,32,28)c(24,48,12)--s(24,32,20)+
t(24,24,20)c(24,40,12)-s(16,24,20)c(32,32,28)*+
s(40,24,28)t(32,32,28)s(24,32,28)*s(32,40,28)**
s(40,32,28)s(24,24,20)c(32,40,20)-+s(32,24,28)*
s(16,24,20)s(32,16,20)-s(24,32,20)+c(32,40,12)-
s(40,48,20)t(24,56,12)-c(32,32,20)s(32,40,28)**
t(32,24,20)c(24,24,12)+t(40,16,12)s(8,24,12)+-
s(24,24,28)t(32,40,28)s(40,32,20)*-s(24,32,12)-
c(32,32,28)t(24,40,20)-c(24,24,20)s(24,16,20)**
s(32,16,20)s(24,40,20)s(24,40,28)c(24,32,12)-+-
s(32,24,20)t(32,24,20)s(40,48,12)t(48,24,12)++*
t(32,32,28)c(24,40,20)t(24,32,28)s(48,32,20)-**
s(32,24,20)t(48,40,12)+s(40,48,12)c(24,32,20)+*
c(40,24,20)t(24,32,20)-c(32,40,20)-c(32,40,12)+
s(32,16,20)s(40,32,28)c(32,24,20)**s(24,48,20)+
s(32,24,28)c(24,16,12)-t(24,32,28)s(32,48,20)+-
c(32,40,20)s(48,32,20)*s(24,24,12)+s(48,48,20)-
c(32,40,20)s(40,24,28)s(16,16,20)-s(40,40,20)**
t(24,40,28)s(40,48,20)s(48,48,12)--c(24,32,20)+
s(40,40,12)t(40,16,12)+c(48,48,12)+s(24,48,12)+
s(24,40,28)s(24,32,28)*t(40,16,12)+t(32,32,20)-
c(32,32,28)s(24,40,28)c(16,40,12)-*t(40,56,12)-
t(32,32,28)t(32,48,20)s(32,32,28)s(40,32,28)*+*
s(40,24,28)c(32,32,20)s(40,40,12)s(32,48,12)+-*
t(32,48,28)c(16,48,12)+t(32,40,28)*t(24,40,20)*
s(24,40,28)t(24,32,28)-c(32,48,12)s(40,48,12)+-
s(40,40,28)s(40,24,28)c(32,32,20)s(48,40,20)*-*
t(24,48,28)c(32,32,20)t(32,32,28)*c(16,32,12)--
s(24,32,12)t(32,32,28)t(40,24,20)s(16,40,12)+-+
s(24,40,28)c(40,16,12)+t(40,32,20)t(32,48,12)+-
s(32,24,20)s(40,40,28)s(40,32,12)-c(40,40,20)*-
c(32,32,20)c(16,48,12)-s(24,40,20)s(8,32,12)-*
s(48,8,12)t(40,48,20)+s(40,24,28)t(32,48,28)--
s(32,32,28)s(16,40,12)-c(40,32,20)s(32,40,28)+*
t(24,32,28)s(40,48,20)t(40,24,12)++s(24,24,20)*
c(40,40,20)s(40,24,28)*c(40,24,20)t(32,24,20)--
c(48,32,12)s(48,32,12)c(32,40,12)++c(16,16,12)+
t(32,32,28)s(32,24,28)c(40,24,20)t(40,16,12)-*-
c(32,40,20)s(16,32,20)+t(24,48,20)-c(32,24,12)+
s(24,32,28)s(8,48,12)-c(40,40,12)-s(32,32,20)*
c(40,32,20)s(40,40,20)t(32,24,12)-+s(16,32,20)-
t(32,32,20)s(40,40,28)t(48,56,12)s(24,48,12)+-*
t(32,48,28)t(24,40,20)t(16,32,12)-t(24,32,20)+-
c(24,32,20)s(16,48,12)+s(16,24,12)-c(40,24,20)*
c(32,32,20)s(48,40,20)c(32,16,12)+*s(16,16,20)-
s(40,48,20)s(32,40,28)t(16,32,12)-*s(40,16,12)+
c(24,32,20)c(40,32,20)*s(24,24,12)+c(40,32,20)*
c(24,24,12)s(48,32,12)+s(32,24,28)*c(16,16,12)-
s(40,16,20)s(32,32,28)s(32,40,20)t(16,24,12)+--
c(32,40,20)t(32,32,28)*t(32,40,28)*s(24,32,20)*
s(24,48,20)t(24,48,28)*s(24,24,20)-s(48,48,12)+
c(40,24,20)c(40,48,12)c(24,24,20)+*s(16,24,20)-
c(32,24,12)t(40,48,20)+s(40,48,20)t(48,48,12)-*
c(40,24,20)t(24,24,12)-c(32,40,20)s(16,16,20)+*
s(32,32,20)c(24,40,20)+s(24,24,20)*s(24,16,12)-
c(24,40,20)s(32,32,28)t(32,24,20)-s(24,24,20)--
s(40,40,28)s(24,40,28)c(40,40,20)--c(40,24,20)*
s(24,8,12)t(32,40,20)t(32,56,12)++s(48,48,20)-
t(40,48,20)s(32,48,20)c(16,32,12)-c(16,32,12)+*
s(40,24,28)t(32,32,28)*s(40,40,20)t(32,32,28)**
s(24,40,20)t(32,48,28)*s(24,32,12)-s(24,32,12)+
c(16,16,12)s(24,32,28)t(32,40,28)s(24,40,20)*-+
t(48,48,12)s(48,24,20)c(24,32,20)s(24,40,12)-++
t(24,16,12)t(32,40,20)s(40,16,20)+s(40,40,20)*+
c(32,32,28)s(48,48,20)-s(24,24,20)c(32,32,12)+*
t(32,32,20)s(8,8,12)+s(32,32,28)t(32,40,12)-+
c(32,24,20)s(48,24,20)c(40,48,12)+s(32,32,28)*+
s(48,40,20)c(40,40,20)*t(32,40,28)*s(24,16,20)+
t(32,40,28)s(40,8,12)s(16,48,20)c(16,24,12)++*
s(40,24,20)s(40,32,28)s(32,24,20)--t(16,48,12)+
s(24,32,12)s(32,16,20)+s(48,48,20)+t(40,40,20)*
t(24,48,20)s(40,48,12)-c(32,32,28)*s(40,40,20)+
c(24,40,20)s(32,48,12)s(32,16,20)+t(16,56,12)++
t(32,32,20)s(24,8,12)s(32,32,20)c(32,48,12)-+*
s(40,48,12)c(40,24,20)+c(32,32,20)c(40,32,20)+*
c(24,24,20)t(32,40,12)-c(32,40,20)s(24,48,20)*-
s(40,32,28)s(32,16,20)*s(16,16,20)+t(24,24,20)+
c(40,40,20)s(40,24,28)c(40,16,12)-*t(24,32,12)-
t(32,32,20)s(32,16,12)+s(40,40,28)c(40,16,12)+*
s(16,24,20)s(40,40,28)+c(16,40,12)-c(24,40,12)+
t(40,40,20)s(24,48,20)c(32,40,12)+s(32,32,20)+*
t(32,48,28)t(32,40,28)*c(48,40,12)-s(40,48,12)-
c(32,24,20)s(16,32,12)t(32,32,28)c(32,40,12)-+-
c(32,32,20)s(24,40,12)s(16,24,12)s(8,24,12)++*
s(24,40,20)t(32,32,28)s(48,24,20)-c(48,48,12)-*
s(40,24,28)t(32,40,28)s(24,16,12)+*c(32,40,20)*
s(32,32,28)s(40,24,20)s(48,40,12)-t(48,16,12)-*
t(24,48,20)s(32,48,20)*s(40,48,12)+s(16,40,12)-
s(16,32,20)s(16,24,20)c(32,16,12)s(32,24,12)++*
s(32,16,20)c(32,32,28)*s(40,16,20)+s(24,32,12)-
t(32,32,28)c(24,32,20)*s(40,16,20)s(32,24,28)+*
t(32,40,20)s(32,40,20)t(40,16,12)c(16,32,12)+-*
c(24,16,12)s(8,32,12)+c(32,32,20)c(24,24,20)+*
c(32,32,28)c(32,40,12)-c(24,32,12)-c(48,24,12)-
c(32,48,12)c(40,24,20)+t(24,48,28)-s(24,32,20)-
s(32,40,28)c(24,40,20)*c(32,32,12)s(16,48,20)+*
s(48,48,12)s(32,32,28)t(32,32,28)s(40,40,20)-*+
s(40,48,20)t(24,48,12)t(32,48,20)++c(24,40,20)-
s(40,32,28)s(32,48,20)*t(48,40,12)+s(48,48,12)-
c(24,24,20)s(16,40,20)t(24,16,12)+s(8,40,12)-*
c(24,32,20)t(32,48,28)s(32,40,12)--s(24,40,12)-
s(40,40,28)t(32,24,12)-t(48,48,12)-s(24,32,28)-
s(32,32,12)s(40,32,20)c(40,24,20)*s(40,24,20)*+
s(32,24,20)t(24,32,20)s(24,32,20)c(16,16,12)-+-
s(32,24,28)s(24,32,12)-t(16,48,12)+c(32,32,20)*
s(16,16,20)s(24,40,20)s(40,40,20)*c(32,24,12)+-
c(40,24,20)s(40,40,28)*s(32,32,28)c(24,32,20)**
t(40,40,20)s(16,48,12)+c(48,24,12)-t(40,40,20)*
s(40,24,20)s(32,32,28)t(24,40,20)-*s(40,48,20)+
c(32,24,20)t(32,40,28)c(24,32,20)t(16,56,12)+**
t(40,56,12)c(24,40,20)s(32,48,20)*+t(40,40,20)-
s(32,48,20)c(24,40,20)c(40,32,20)s(32,24,28)*-*
s(48,48,20)s(40,24,20)t(32,40,20)-+s(8,48,12)+
c(32,24,20)s(48,40,12)+s(40,32,28)*c(32,32,20)*
s(40,32,20)s(32,40,12)-c(16,16,12)+s(40,32,20)*
t(24,32,28)t(40,24,20)-c(24,48,12)+t(24,48,28)*
s(16,40,20)s(40,32,12)t(24,48,12)+-s(32,24,20)+
t(16,24,12)c(32,24,20)c(24,32,20)s(16,24,20)**+
t(32,40,20)s(48,48,12)+c(24,40,20)*t(48,40,12)+
s(32,32,28)s(16,32,12)-s(40,32,28)*c(40,40,20)*
c(32,24,20)c(40,32,20)s(32,16,12)-t(40,32,20)--
c(24,16,12)c(24,40,12)c(24,32,12)++s(16,32,20)*
s(32,32,28)s(40,24,28)s(24,16,20)+*c(32,32,20)*
s(32,40,28)s(16,48,20)-c(40,40,20)c(48,40,12)-*
c(32,40,20)c(48,24,12)-s(40,32,28)*s(40,40,12)-
s(32,32,28)s(24,24,20)*t(32,40,28)c(24,32,12)--
s(32,40,28)c(16,48,12)c(32,40,12)+s(40,8,12)+*
s(32,16,20)t(24,32,28)c(32,48,12)-s(32,40,28)+*
s(32,32,28)t(24,40,28)*t(32,40,20)*c(48,48,12)+
s(40,24,20)c(16,16,12)t(24,40,28)+-s(40,48,20)-
s(24,24,20)c(32,24,20)s(48,32,20)t(32,48,28)+*+
c(24,40,20)c(40,40,20)s(48,16,20)-*s(8,48,12)+
c(40,32,20)t(32,32,28)s(40,32,28)s(40,8,12)+**
s(40,48,20)s(40,40,20)s(16,48,12)c(16,16,12)++*
c(40,40,20)c(32,32,20)*t(24,48,12)-s(16,32,20)+
c(40,24,12)s(24,24,20)+c(32,40,12)-s(32,32,28)*
s(48,40,12)t(48,16,12)+c(32,24,12)+s(32,32,20)*
t(32,40,12)t(32,40,28)t(24,40,28)c(24,24,20)-*+
s(40,24,28)c(32,48,12)+t(32,40,28)*s(24,40,28)*
t(24,48,28)c(32,32,28)*s(48,16,20)+s(32,48,20)-
c(32,32,20)c(32,32,28)s(24,16,20)*-s(32,24,28)*
t(32,32,28)c(40,24,12)c(24,24,12)t(16,48,12)++-
c(32,24,20)s(48,16,20)c(24,32,20)+*s(48,16,20)-
c(40,24,12)c(24,40,20)s(16,40,20)*s(40,24,20)-+
c(24,24,12)c(24,40,20)+s(16,48,20)*c(32,32,28)*
c(40,40,20)t(32,40,28)c(24,24,20)-s(16,48,12)+*
c(24,16,12)s(16,48,12)+s(16,48,20)+c(24,40,20)*
t(24,32,20)s(40,24,28)t(32,40,28)s(24,32,12)--+
s(24,40,28)s(32,32,28)t(40,32,20)-s(16,24,20)-+
s(32,32,20)s(24,32,28)s(32,24,12)-*c(48,40,12)-
t(24,48,28)s(24,40,28)c(16,24,12)t(16,40,12)+*-
s(40,48,20)c(32,24,20)t(32,32,20)s(48,48,20)+*-
c(16,32,12)s(24,40,20)s(16,48,20)s(48,48,12)+-+
t(32,32,28)s(40,32,28)c(40,40,12)-c(40,32,20)*+
s(24,32,20)s(16,8,12)+c(16,32,12)s(40,8,12)+-
c(16,32,12)s(32,48,20)+s(48,48,20)s(32,8,12)+*
c(24,24,20)s(24,32,28)*t(40,40,20)-s(16,24,20)*
s(24,32,28)t(24,40,28)*s(8,40,12)-s(24,32,20)*
s(16,24,20)s(16,32,20)c(32,32,28)*c(24,24,20)**
s(32,16,20)s(24,24,28)t(32,32,28)*s(16,40,12)-+
c(24,32,20)c(24,24,20)*s(24,40,28)*s(40,24,20)-
s(24,32,20)s(32,32,12)t(32,24,20)++s(32,40,28)*
s(16,32,12)c(32,32,12)t(24,48,28)+s(24,48,12)-+
s(24,32,28)c(40,32,20)s(24,32,28)s(24,16,20)-+*
s(32,48,20)t(32,48,28)c(24,24,20)s(16,32,20)*-*
c(40,32,20)c(32,24,20)s(8,32,12)+*t(32,40,28)*
c(32,32,28)s(24,32,12)-t(24,32,28)t(40,40,20)--
s(24,40,28)c(24,24,20)t(16,32,12)-s(32,24,20)+-
c(40,24,20)t(24,40,28)s(16,32,20)c(32,32,28)*+-
s(40,32,12)s(8,8,12)+c(48,40,12)+t(24,48,12)+
t(24,32,12)s(16,48,12)+s(16,32,12)s(8,40,12)++
t(48,48,12)t(48,40,12)t(40,40,20)+t(32,48,12)-+
s(48,32,20)t(16,16,12)s(40,32,20)+*c(32,24,20)*
s(24,48,12)t(48,16,12)+c(32,40,12)c(24,24,12)+-
t(40,48,12)c(48,32,12)s(8,16,12)+s(24,8,12)++
t(24,48,28)s(24,32,28)*c(32,40,12)+c(24,32,12)-
s(24,40,20)c(24,32,20)s(24,40,28)c(40,32,20)**+
s(24,24,20)s(40,16,20)s(48,24,20)*+s(40,16,20)*
s(48,40,20)s(40,24,28)*t(24,48,20)+s(48,40,20)*
t(40,24,20)s(32,24,20)c(24,32,20)s(48,32,20)-*-
c(16,40,12)t(48,56,12)t(16,40,12)+c(24,16,12)++
s(32,48,20)s(16,40,12)-s(8,40,12)+t(16,16,12)+
s(32,48,20)s(40,32,20)t(40,40,20)-t(16,56,12)++
t(24,40,28)s(16,48,20)-t(16,32,12)+s(40,40,28)*
c(24,24,12)s(40,32,20)+s(40,24,12)-s(24,32,28)*
c(24,40,12)t(40,48,12)s(40,24,20)+s(24,16,12)-+
t(32,32,28)s(40,40,12)-s(24,16,12)t(24,48,28)+*
s(40,40,28)s(48,16,12)c(40,40,12)+*c(32,32,20)*
t(40,40,20)s(16,48,20)t(24,48,28)*+s(40,32,28)*
t(16,40,12)t(40,32,12)t(48,16,12)++s(24,48,20)-
t(32,40,28)t(16,56,12)+c(40,48,12)-c(16,32,12)-
c(40,16,12)s(40,24,20)c(32,40,20)*+c(24,40,20)-
s(40,40,12)s(16,48,20)+c(32,32,28)c(48,24,12)-*
s(32,32,28)s(40,32,28)s(40,40,20)--s(24,24,28)*
s(40,40,20)s(32,48,20)s(16,24,12)+t(32,24,20)--
c(16,16,12)c(40,24,20)+s(24,24,12)-s(40,32,28)*
s(24,40,20)t(48,32,12)+s(24,40,28)s(40,32,12)-*
s(24,32,20)s(16,48,20)s(40,24,28)-+c(32,32,20)-
s(8,24,12)s(40,40,20)+s(16,48,20)s(16,40,20)++
s(24,32,20)s(16,24,20)s(24,24,20)**c(24,24,12)+
s(16,32,20)c(32,16,12)+c(24,24,20)*c(40,24,12)+
c(48,16,12)c(16,40,12)+s(48,8,12)-t(40,16,12)-
s(24,32,20)c(32,40,20)s(24,48,20)+s(16,32,12)-*
t(32,32,28)t(32,48,28)c(24,32,20)*s(16,48,20)+*
s(24,32,28)s(48,16,20)+c(32,32,12)-s(16,40,20)*
c(32,32,28)s(40,48,20)c(48,32,12)+*s(48,24,12)+
s(16,16,20)s(24,24,28)*s(16,32,20)s(16,48,12)-+
s(24,48,20)c(24,24,12)c(40,40,20)c(40,24,20)*++
c(16,24,12)s(48,32,12)s(32,16,12)++c(40,16,12)+
c(24,24,20)c(32,40,20)c(40,40,20)*s(32,32,28)*-
s(32,8,12)t(32,32,28)c(24,24,20)*c(24,32,20)*+
s(40,16,20)s(40,40,28)-t(32,32,28)+s(24,24,28)*
s(16,16,20)t(48,48,12)s(16,32,12)t(24,24,20)++-
s(32,24,20)s(40,32,28)+s(24,48,20)t(40,56,12)++
s(32,32,28)c(16,40,12)-s(48,32,20)t(24,40,12)+*
s(24,32,28)c(24,24,20)t(40,24,12)-*s(24,32,20)*
s(40,16,20)s(32,24,28)t(16,24,12)-s(32,16,20)--
c(24,32,20)c(40,32,20)s(40,32,20)c(40,48,12)+**
s(16,32,20)s(48,24,20)s(32,40,20)+t(24,40,28)+*
s(24,24,28)t(40,24,12)-c(40,24,20)c(24,24,20)**
c(32,40,20)t(32,48,20)s(24,48,20)t(32,16,12)++-
s(32,24,12)t(40,56,12)s(32,8,12)++s(48,16,12)+
c(24,24,20)c(24,40,12)-c(16,32,12)-s(24,16,20)*
t(40,40,20)s(48,48,20)s(32,48,20)t(24,56,12)-+*
t(32,32,28)s(32,40,28)s(40,40,28)**c(16,40,12)-
c(32,32,28)s(24,24,28)*s(32,32,20)t(32,48,28)*-
t(24,40,20)t(48,24,12)+s(40,8,12)t(32,40,28)+*
s(48,16,20)t(48,40,12)s(48,16,12)+t(32,48,28)+-
s(40,40,12)s(24,32,12)+s(24,32,28)s(32,24,28)--
c(40,24,20)s(40,32,12)t(24,40,28)s(24,40,20)*+-
c(32,40,20)c(48,40,12)-c(24,40,20)*t(40,40,12)+
c(24,40,20)c(24,32,20)s(16,32,20)**s(16,40,20)*
s(24,16,20)c(32,32,28)*s(16,16,20)c(16,24,12)--
s(40,24,28)s(48,40,20)-t(32,40,28)s(48,8,12)+*
c(32,32,20)s(40,40,20)-s(40,40,12)t(48,16,12)++
t(24,48,12)t(32,32,20)+t(32,40,28)s(16,32,20)-*
t(24,48,28)c(40,48,12)-c(16,40,12)t(32,32,20)+-
t(24,32,28)s(16,32,20)s(24,40,28)*+t(24,32,20)-
t(32,40,20)t(48,24,12)c(32,40,12)s(32,16,12)++*
s(16,24,12)s(24,40,12)+c(40,32,12)+s(32,24,20)-
s(24,40,28)s(32,40,28)s(8,24,12)+*s(40,32,28)*
c(16,16,12)s(40,24,20)s(48,32,20)s(40,48,12)-*+
s(40,40,20)c(24,24,12)-s(24,24,28)t(32,32,12)--
c(24,24,20)t(32,40,28)s(16,8,12)+t(40,56,12)+*
s(48,40,20)s(40,32,20)*s(24,32,20)+s(16,24,20)-
t(40,40,12)t(40,48,12)s(32,16,20)+s(40,40,28)*+
s(24,40,12)s(32,32,20)s(40,40,20)s(32,40,20)*-+
s(24,24,20)c(32,24,20)*c(24,40,20)t(24,24,20)--
s(40,24,28)t(48,32,12)-t(24,40,20)+t(40,24,20)-
t(32,32,28)s(24,24,28)*s(16,16,20)-s(40,24,28)*
c(24,40,20)s(48,48,20)-c(24,24,20)+c(16,24,12)-
c(24,24,20)c(32,40,20)*s(32,32,20)s(32,24,20)*+
s(40,48,20)t(24,32,28)c(40,32,20)*-s(40,16,20)+
c(16,48,12)s(40,24,20)s(32,32,20)*+s(32,24,20)*
c(40,40,20)c(24,40,12)-c(16,24,12)+t(40,40,20)*
s(24,32,28)c(24,32,20)s(32,24,20)*-c(24,40,20)*
s(32,40,28)c(32,40,20)s(24,32,20)*t(24,48,28)+*
c(32,16,12)c(40,40,20)+t(24,48,20)s(40,32,12)+*
c(40,32,20)c(32,40,20)-s(48,32,20)t(32,32,20)-+
c(48,40,12)c(24,24,20)s(8,24,12)-+c(40,24,20)*
c(24,24,20)s(32,24,28)s(24,32,20)*t(40,32,12)--
s(40,24,28)s(24,40,20)-s(48,24,20)s(16,16,12)+-
c(40,32,20)t(40,32,12)-s(40,32,20)c(40,16,12)-*
s(32,40,28)s(40,24,28)s(32,32,20)t(24,48,20)-**
t(40,40,12)s(32,48,20)s(24,48,20)c(24,32,20)*-+
t(24,32,28)t(40,16,12)+t(24,40,20)t(24,32,20)+*
t(48,16,12)s(8,24,12)s(48,40,20)s(32,40,28)*++
s(32,40,20)t(32,48,20)s(16,16,12)+s(32,16,20)-+
t(32,48,28)s(24,8,12)+s(8,24,12)s(24,32,12)+-
s(40,40,28)s(32,48,12)t(40,48,12)+t(48,56,12)+*
s(24,32,28)c(32,32,20)t(32,32,12)-*t(24,32,12)-
t(24,40,20)c(40,40,20)c(24,40,20)*t(32,32,28)*+
s(40,40,20)s(40,48,20)t(32,48,28)*c(48,40,12)-+
s(40,32,28)s(40,24,28)*c(24,24,20)t(32,32,28)**
c(40,48,12)c(32,32,20)+t(32,48,20)*s(32,24,20)+
t(32,56,12)c(32,40,12)c(48,48,12)++c(32,40,20)*
t(16,56,12)c(32,48,12)t(16,32,12)++s(32,40,28)*
c(40,24,20)t(24,32,20)+s(8,8,12)s(32,16,20)++
c(32,40,20)s(24,32,28)s(40,32,20)s(32,24,20)**-
c(24,24,20)c(32,32,12)t(32,56,12)+s(24,24,12)+*
s(24,40,28)s(40,48,20)+s(16,16,20)+t(24,48,20)-
s(32,40,28)s(24,48,20)s(40,16,12)+-s(32,24,12)+
c(32,24,20)s(32,32,12)t(16,16,12)t(40,56,12)++-
s(48,40,20)s(8,16,12)s(40,32,28)s(32,24,20)++*
t(32,24,12)s(24,16,12)+s(8,8,12)t(16,48,12)++
s(24,48,20)s(24,32,20)t(32,32,28)*+s(24,40,12)-
c(32,32,20)c(24,40,20)*s(24,40,20)*s(8,16,12)+
t(24,40,12)s(24,24,28)t(32,40,28)c(40,32,20)**+
c(32,32,28)c(24,16,12)-s(48,24,20)-s(32,48,20)*
s(32,32,28)c(40,32,12)t(32,48,28)+*s(48,16,20)-
s(32,40,20)t(32,24,20)-t(32,40,12)s(48,40,20)++
t(32,48,28)s(40,8,12)t(24,40,28)+c(32,40,20)**
t(16,32,12)t(24,32,20)s(40,32,12)-+c(24,48,12)+
s(32,8,12)s(24,32,28)+c(40,32,12)-s(32,32,20)*
s(40,32,28)s(24,40,12)-t(48,32,12)-s(48,32,20)*
s(16,24,20)c(40,24,20)c(32,32,20)*-s(40,24,28)-
s(32,40,20)s(48,24,12)c(32,40,20)+t(40,24,20)*-
c(32,40,20)t(32,48,12)s(16,48,12)+t(32,40,20)+*
s(32,40,28)t(24,32,12)-s(24,40,12)-s(40,32,20)*
t(32,40,20)s(8,32,12)s(48,32,20)++c(24,32,20)*
s(40,24,12)s(16,48,20)+t(24,32,28)-s(32,32,28)-
t(32,48,28)t(32,24,12)+t(32,40,12)-c(40,40,12)-
t(40,24,20)c(40,48,12)+c(40,40,20)t(24,56,12)+*
c(32,16,12)t(32,40,20)+t(32,32,28)s(32,40,28)**
t(24,32,28)s(32,32,28)s(16,24,12)-t(32,48,28)**
c(24,24,20)c(48,16,12)s(32,32,20)++c(24,40,20)*
s(32,40,28)s(40,40,20)s(32,40,12)-t(32,32,12)-*
c(32,32,20)s(32,48,12)-s(16,40,20)-s(48,32,12)+
s(32,32,28)c(48,40,12)s(24,32,28)+s(48,40,20)**
c(24,40,20)c(24,24,20)-c(24,24,20)s(32,40,20)*+
t(24,40,28)s(16,24,12)+s(32,32,20)*s(32,48,20)+
s(40,16,20)s(16,8,12)+s(32,40,12)+s(16,40,20)-
t(24,32,28)s(40,32,20)s(32,32,28)c(40,24,12)---
s(32,32,20)s(32,24,12)s(8,16,12)+-s(40,32,28)*
c(40,40,20)c(24,24,20)s(32,40,28)*t(32,48,20)+*
s(32,32,28)c(16,16,12)s(48,16,12)c(40,16,12)++*
s(48,40,20)t(32,40,12)-c(32,40,20)s(40,40,20)**
s(40,32,20)s(40,40,12)t(24,48,28)+s(40,40,20)**
c(40,48,12)c(40,32,12)c(32,16,12)++t(40,40,20)-
s(24,24,28)s(16,24,12)-t(24,24,20)c(16,40,12)-+
t(24,32,12)s(24,24,28)s(24,32,20)-s(24,40,28)-+
t(24,40,20)c(32,32,28)s(24,32,28)s(24,24,28)*-+
t(24,48,28)t(32,40,12)-c(24,40,20)s(16,24,20)+*
s(32,8,12)s(48,16,20)s(32,24,20)s(48,16,12)+*+
c(40,32,20)c(48,16,12)-c(32,24,12)-s(48,40,20)*
s(32,32,28)t(48,32,12)s(24,48,20)+c(40,48,12)--
t(40,48,20)t(16,56,12)t(40,48,20)+s(32,48,20)**
t(24,32,28)c(40,24,20)t(40,24,20)s(24,24,28)+**
c(24,48,12)s(24,32,20)t(32,32,28)s(40,16,12)+*+
s(32,32,28)s(48,24,20)s(40,16,20)s(48,24,12)---
s(32,24,28)s(24,24,28)*s(32,8,12)-s(40,32,28)*
c(24,24,20)t(48,56,12)s(40,32,12)+-s(16,16,20)*
s(16,24,20)c(32,32,28)t(24,48,28)s(24,32,28)*-*
s(16,24,20)t(32,24,20)-t(24,16,12)s(32,40,12)+-
s(48,24,20)s(32,16,20)s(16,24,20)s(40,32,28)+*-
c(40,48,12)s(24,32,20)s(16,48,12)-+s(40,32,28)*
t(24,32,28)s(16,24,20)s(16,32,20)*t(48,48,12)+*
s(32,40,28)s(24,48,20)c(48,16,12)+c(24,32,20)*-
s(32,32,28)c(24,24,20)*t(24,16,12)-t(24,32,28)*
s(24,24,20)s(48,32,20)-c(24,32,20)+s(32,40,28)*
s(24,32,20)t(32,40,20)t(24,48,20)+*t(24,24,20)+
s(40,32,20)s(32,16,12)s(32,32,28)c(24,32,20)*+*
c(32,40,20)s(48,24,12)+s(24,40,28)*s(16,32,20)-
s(32,8,12)s(32,40,28)s(40,48,20)t(24,40,20)-*+
s(40,40,28)t(32,40,28)*s(24,32,20)*c(40,16,12)+
t(32,48,20)c(24,40,20)s(24,40,28)s(24,16,20)-**
s(40,24,28)s(40,16,20)t(24,40,28)+*t(32,48,28)+
s(32,24,28)t(32,32,28)s(32,40,28)*s(24,32,28)**
s(24,40,12)s(24,24,20)s(40,32,20)+s(24,40,28)*+
c(48,32,12)t(40,16,12)+t(16,40,12)+c(48,24,12)-
c(40,48,12)t(32,40,28)t(40,48,20)-+s(32,32,20)-
c(40,24,20)s(32,24,28)t(40,48,20)+*t(40,48,12)+
c(40,24,20)t(32,32,28)s(32,24,20)c(40,24,20)*+*
s(24,32,28)s(48,40,20)s(32,32,28)*-s(32,32,12)-
t(40,16,12)t(40,32,20)+t(48,40,12)c(40,24,12)++
c(40,40,20)s(40,16,20)s(48,32,20)s(32,40,28)*+-
s(40,16,20)s(32,48,20)t(24,40,20)-s(40,24,12)+-
s(24,32,20)t(24,40,28)s(16,40,12)-s(32,48,12)--
c(32,32,28)s(24,24,28)*t(32,24,20)s(32,16,20)+*
s(32,24,20)c(16,48,12)s(32,16,20)s(40,24,28)*+*
s(40,40,20)c(24,32,20)s(32,24,28)*s(24,32,20)*-
s(32,24,28)s(40,40,28)t(40,24,20)*t(24,40,12)+*
s(32,24,28)c(40,48,12)c(48,40,12)+-c(24,24,20)*
c(40,32,20)s(32,16,12)+t(32,40,20)c(16,40,12)+*
t(24,16,12)t(24,40,20)+c(24,24,20)s(32,32,28)**
c(32,40,20)c(40,40,20)c(40,32,20)t(32,48,20)-+*
s(16,32,20)t(24,32,28)t(24,40,28)*s(40,16,20)-*
t(32,32,28)s(24,32,28)*t(24,32,12)-s(40,40,28)*
s(40,24,28)t(32,24,20)s(24,16,12)-s(48,48,12)+*
s(16,48,12)s(48,8,12)s(40,40,12)++s(8,16,12)+
c(24,48,12)c(24,32,20)+c(32,32,20)*c(48,48,12)+
c(32,32,28)s(48,40,20)c(16,48,12)+s(24,24,12)+*
s(16,24,20)c(40,40,20)s(16,24,12)+c(32,32,20)+*
c(24,32,20)s(40,24,28)t(24,32,28)**s(32,40,28)*
c(24,16,12)t(16,56,12)s(8,24,12)+s(16,16,12)-+
s(32,40,28)s(48,40,12)c(16,48,12)+*c(40,16,12)+
s(8,24,12)t(24,40,28)+t(24,48,28)t(16,40,12)-*
t(40,48,12)t(24,48,28)+s(24,40,28)s(24,32,28)**
t(24,40,20)s(48,40,12)c(40,40,20)t(48,48,12)-++
s(24,48,20)s(24,32,12)-s(16,40,20)+s(24,48,20)-
c(32,40,20)s(40,16,20)s(32,48,12)+s(24,16,12)-*
s(48,24,20)s(8,40,12)+c(48,24,12)t(24,40,28)+*
c(24,40,20)s(48,24,20)s(16,32,20)+*t(32,32,28)*
t(32,40,28)s(24,40,20)*c(24,32,12)+s(16,16,20)-
c(40,40,20)s(32,24,28)c(32,32,20)**t(24,48,20)-
s(8,16,12)t(32,32,28)+s(48,24,20)-s(16,16,20)*
s(32,32,28)s(24,48,20)+c(40,48,12)s(40,32,12)+*
c(24,24,20)c(32,40,20)*c(24,40,20)*s(24,48,12)-
s(24,40,28)c(32,24,20)s(40,16,20)c(16,48,12)+-*
t(32,48,28)s(24,32,28)s(40,24,20)t(40,32,20)-+-
s(8,40,12)s(40,40,20)+s(16,48,20)+s(48,24,20)-
t(24,56,12)s(16,32,20)t(16,40,12)-+t(48,48,12)+
s(32,48,20)t(24,48,28)+c(40,40,20)s(40,40,12)-*
c(32,24,20)s(48,24,12)c(48,16,12)++s(40,32,20)*
s(40,32,20)c(24,40,12)-s(48,48,20)s(40,40,28)+*
c(40,40,12)t(24,32,28)+s(24,40,20)t(24,40,28)**
c(40,24,20)c(32,24,20)s(32,32,20)c(16,16,12)+**
s(48,24,20)c(32,16,12)-c(32,32,28)*c(32,40,12)-
s(40,24,28)c(24,24,20)*t(32,24,20)t(32,48,28)+*
c(24,24,20)s(32,48,20)c(24,24,12)+s(24,32,28)**
s(24,24,20)s(16,48,12)s(16,24,12)s(32,48,12)++-
s(40,24,20)c(16,24,12)+c(24,32,20)*c(40,32,20)*
s(48,16,20)s(24,32,12)s(40,32,28)c(32,32,12)-++
s(48,40,20)s(40,24,28)c(32,32,28)s(48,16,12)-**
s(24,40,28)c(24,24,20)c(40,32,12)+s(48,24,20)+*
s(40,24,20)s(32,24,28)s(16,16,20)*-s(40,32,20)+
c(32,24,20)t(32,48,28)c(48,32,12)t(48,56,12)++*
c(32,40,20)t(24,32,20)c(40,40,12)+-t(48,48,12)+
t(24,16,12)t(16,48,12)s(16,32,20)++s(24,48,20)*
c(40,24,20)c(16,48,12)+s(24,16,20)c(24,48,12)+-
t(40,24,12)c(32,32,20)s(32,40,28)*c(24,32,20)*+
t(24,40,12)s(24,16,20)s(16,16,20)*+c(32,32,28)*
s(48,16,20)s(32,40,20)+c(32,24,20)c(40,24,20)+*
c(32,32,20)t(48,24,12)-s(40,32,12)-s(48,24,20)-
s(24,16,20)s(24,40,28)s(40,24,28)*-t(48,48,12)+
s(24,40,28)s(40,32,20)+c(48,32,12)-c(32,32,20)*
s(16,32,20)s(16,40,20)t(24,32,28)*t(24,16,12)+*
t(40,48,12)s(24,40,20)c(24,32,20)*t(32,32,28)++
s(16,24,20)s(24,32,28)t(48,16,12)+*s(16,48,12)+
s(48,48,20)t(40,40,20)+s(40,32,28)*t(32,24,20)+
s(40,16,20)s(24,24,28)*t(24,32,28)+t(40,32,12)-
s(40,40,28)t(24,48,28)*c(24,40,12)s(40,40,20)+*
s(8,24,12)s(32,24,20)+s(40,40,28)t(40,32,12)-+
s(40,40,28)s(32,24,28)s(40,24,20)s(32,24,20)*--
t(32,40,28)c(48,48,12)t(24,24,20)s(16,16,12)-+*
t(32,40,28)c(32,32,20)s(32,24,28)+s(16,32,20)*+
s(32,32,28)c(48,40,12)-s(16,32,20)*c(24,40,20)*
c(24,40,20)t(32,40,12)-s(48,40,20)s(16,32,20)++
s(32,40,20)t(24,40,20)*c(32,16,12)+s(40,24,20)*
c(40,32,20)c(24,40,20)s(32,48,20)s(40,32,20)+**
s(16,48,12)c(24,32,20)s(24,32,20)t(48,40,12)+*+
c(32,40,20)s(48,24,20)+s(24,16,20)s(48,48,12)+*
s(16,16,20)s(32,40,28)-s(32,24,12)+c(24,24,20)*
t(48,48,12)t(24,32,20)+s(48,40,20)-c(24,48,12)+
c(24,32,20)s(32,24,28)+s(48,32,12)-s(24,48,20)*
t(24,40,28)s(40,24,20)t(48,40,12)+s(40,40,20)*-
t(24,48,20)c(40,24,12)s(16,40,20)+s(24,40,20)+*
t(40,16,12)t(24,48,28)+c(32,32,20)t(24,40,12)-*
c(40,24,20)c(40,16,12)s(16,40,12)+*s(8,48,12)+
s(32,40,20)t(16,48,12)t(24,32,28)t(32,48,20)-+*
c(32,32,28)s(16,24,12)-c(32,16,12)s(40,48,20)+-
s(32,40,20)c(32,24,20)+c(32,40,20)*s(40,8,12)+
c(16,48,12)s(32,24,20)s(32,40,20)+t(32,40,12)-+
s(16,48,20)c(40,16,12)t(16,56,12)+-s(32,40,12)-
s(48,32,12)s(8,32,12)s(8,48,12)+s(16,40,20)*+
s(24,40,12)s(8,48,12)+s(40,40,28)+c(24,40,20)*
s(32,24,20)c(32,24,20)s(24,48,20)-*c(32,32,12)-
s(16,24,20)s(16,32,20)s(24,24,28)*t(32,24,20)--
c(32,32,28)c(40,16,12)c(24,32,20)+c(24,16,12)--
t(40,32,12)t(24,48,28)c(24,40,20)*+t(40,24,20)+
t(32,56,12)s(32,32,28)+s(48,32,20)c(48,32,12)--
s(40,40,28)s(24,32,20)s(16,16,20)--s(32,40,20)*
t(32,40,28)t(24,40,28)*s(8,48,12)-t(32,32,28)*
t(32,24,20)t(40,32,20)t(24,24,20)c(16,24,12)+--
c(24,40,20)c(24,24,20)t(32,40,28)--t(32,48,20)*
s(16,8,12)s(24,40,12)t(32,32,20)++s(24,24,20)-
t(32,40,28)s(40,32,28)s(48,48,12)-s(40,40,20)*+
s(16,48,12)c(24,24,12)+t(40,32,20)s(8,24,12)+-
t(24,48,28)c(32,32,28)s(40,48,12)s(24,8,12)+*-
s(40,32,28)s(16,40,20)c(40,24,20)+s(24,24,20)**
s(32,32,20)t(32,32,28)c(24,24,20)*s(40,16,12)-*
s(48,32,20)t(40,32,12)-c(32,32,12)+c(40,40,20)*
c(40,32,20)s(40,16,20)*s(40,48,20)+c(24,24,20)-
s(24,32,28)s(32,48,20)+c(40,32,20)*s(40,40,28)*
s(40,32,28)c(48,32,12)t(24,48,28)s(8,48,12)-+*
c(32,24,20)s(40,24,20)+s(48,48,20)t(32,32,20)+-
t(24,32,28)s(8,48,12)s(16,40,20)c(24,40,20)*+*
t(32,56,12)c(24,32,20)c(32,24,12)-t(32,40,28)*+
t(16,56,12)c(48,48,12)t(24,40,12)+t(32,40,20)++
s(16,32,12)s(24,16,20)+s(40,32,28)s(8,16,12)+*
s(24,48,20)t(40,32,20)+s(32,32,20)s(24,40,28)**
s(16,32,20)t(24,40,20)-s(40,32,28)c(40,16,12)-+
s(8,48,12)c(40,32,12)+t(32,48,20)-s(16,24,12)+
s(40,48,20)s(24,32,28)c(32,40,20)*-c(16,32,12)+
s(24,40,28)s(40,32,20)s(40,40,20)*s(24,40,28)*-
s(32,48,12)t(40,32,20)+s(16,16,20)s(32,24,12)-+
s(48,48,20)s(32,48,20)s(16,32,20)-t(24,16,12)+*
s(32,48,20)t(24,40,28)s(40,40,28)s(48,32,20)+*+
t(16,32,12)s(40,16,12)+s(24,40,20)+t(24,40,20)-
c(40,40,20)s(40,32,20)t(24,48,28)-t(40,40,20)++
c(48,24,12)s(8,8,12)c(48,16,12)++s(32,32,20)-
c(16,40,12)t(32,48,28)+c(40,40,20)s(48,16,20)-*
s(32,16,20)s(24,32,28)*c(32,48,12)s(48,16,12)+-
c(40,24,20)s(32,16,12)-c(32,24,20)+s(40,40,28)*
t(40,56,12)s(40,32,20)+s(48,40,12)-c(32,32,20)*
t(40,16,12)s(16,24,20)t(24,40,20)+t(32,32,28)*+
s(24,16,20)t(24,24,20)t(40,32,20)s(40,24,20)*--
s(40,40,28)t(24,48,20)s(16,32,20)+s(32,16,20)+-
c(24,32,20)s(40,32,28)*t(40,24,12)+s(40,16,12)-
s(48,24,12)t(32,48,20)c(24,40,20)*t(24,48,28)*+
s(40,40,20)s(40,32,28)s(32,16,20)-c(32,24,20)*-
t(32,40,20)s(32,32,28)s(24,40,20)s(16,16,20)-**
s(8,16,12)t(24,48,12)+c(16,16,12)+c(32,16,12)+
s(32,32,20)s(32,24,28)s(48,24,20)-c(24,32,20)**
c(32,40,20)t(32,32,12)-s(16,40,20)c(48,16,12)+*
s(48,24,20)s(32,32,28)t(32,24,20)-s(32,24,28)*-
s(32,40,28)s(40,48,20)+s(40,48,20)c(32,24,20)--
s(32,32,28)s(32,16,20)c(40,16,12)c(32,40,20)+*-
c(40,24,20)s(48,16,20)*c(24,32,20)-s(32,16,20)+
s(32,32,20)c(40,32,20)s(48,24,20)*s(48,16,20)*-
s(32,24,20)c(40,32,20)*t(24,24,20)c(40,32,12)-+
s(24,8,12)s(40,48,20)+s(40,40,20)s(24,40,12)-*
t(24,40,20)s(8,16,12)t(48,40,12)+s(16,16,20)+-
s(32,40,20)t(32,32,28)t(24,16,12)c(24,24,12)+-+
s(24,48,20)s(16,40,20)*c(16,16,12)+s(16,16,20)*
s(8,32,12)t(24,40,28)+t(32,40,28)+c(32,40,20)-
s(24,40,28)c(40,40,20)*c(48,24,12)-c(40,32,20)+
t(24,40,28)s(8,8,12)+s(24,24,20)c(16,16,12)+*
s(24,40,28)s(32,24,28)*s(16,32,12)+c(32,40,20)*
s(24,48,20)s(40,24,28)+c(32,32,28)*c(32,40,20)*
s(8,40,12)c(16,48,12)+s(32,32,20)s(24,40,28)*-
s(8,16,12)c(32,24,12)+t(16,16,12)+c(48,24,12)-
c(24,16,12)t(48,16,12)+s(48,8,12)+c(32,24,12)-
c(32,32,20)s(16,24,20)-s(16,32,20)-t(32,48,12)-
t(24,48,28)c(32,32,28)c(48,40,12)-t(16,32,12)-*
s(32,24,20)t(32,32,28)+c(16,16,12)-s(48,16,12)+
c(40,40,20)s(48,24,20)t(24,32,28)+*c(24,32,20)*
c(24,32,20)c(32,24,20)c(32,48,12)+s(32,40,12)-*
c(24,32,20)s(24,32,28)c(32,24,20)**t(24,40,28)*
c(48,48,12)c(40,40,12)+c(32,32,28)s(16,40,12)-*
s(40,32,28)s(48,32,20)c(16,16,12)s(48,32,12)+-*
s(40,40,28)c(40,16,12)s(48,32,12)t(24,24,12)++*
s(32,40,20)s(24,48,20)+s(32,32,12)-t(24,32,12)+
s(32,40,28)s(48,40,12)c(40,40,12)+s(40,48,12)+*
s(24,32,20)s(24,24,28)t(40,16,12)-*s(24,24,20)*
s(40,24,12)s(40,40,28)c(40,32,12)s(24,24,12)+*+
s(40,40,20)c(32,24,20)s(32,48,20)c(40,32,20)+*+
c(40,40,20)s(32,40,20)*t(24,48,20)-s(40,8,12)+
s(40,40,20)t(24,40,28)c(40,32,20)+c(48,40,12)-*
c(32,40,12)c(24,40,12)+s(16,32,12)-c(48,48,12)-
s(32,32,20)c(48,16,12)s(24,24,20)+c(40,24,20)**
s(40,40,28)t(32,40,28)*s(48,40,20)s(40,16,12)+*
c(48,16,12)s(32,16,12)s(32,40,28)++s(24,48,20)*
s(32,40,20)c(24,48,12)-s(16,16,20)c(32,24,20)+*
s(40,24,28)s(32,16,12)s(40,40,20)s(24,40,28)*+*
t(32,40,28)c(24,32,20)s(48,48,20)+s(24,40,28)**
s(16,40,20)c(24,40,20)s(32,40,20)*s(24,24,28)+*
s(40,48,20)s(40,32,20)s(32,40,28)c(24,32,20)**-
t(24,32,28)s(40,40,20)t(40,32,12)-s(40,32,20)*-
t(40,32,20)t(32,56,12)+s(32,40,20)s(24,24,12)+*
s(40,48,20)s(40,24,28)c(24,32,20)s(24,32,12)-*-
s(32,8,12)c(40,40,20)c(24,32,20)-+s(8,8,12)+
s(48,8,12)s(16,48,12)+s(16,24,12)+t(24,24,20)-
t(32,32,28)s(24,16,20)+t(40,48,20)-s(40,32,20)*
s(32,24,12)s(16,24,20)+s(40,24,20)s(40,16,20)*-
t(32,56,12)s(40,32,28)+s(24,24,20)s(24,40,28)*-
c(32,40,20)c(48,16,12)+c(48,48,12)+t(40,24,12)-
s(32,8,12)c(40,48,12)+s(48,24,20)-s(16,8,12)+
c(24,32,20)s(32,40,20)s(24,40,20)+s(24,48,20)*+
s(24,40,28)s(48,8,12)c(40,48,12)t(24,56,12)++*
c(48,48,12)s(24,32,28)+s(40,16,20)+s(24,24,28)*
c(32,32,28)c(16,24,12)s(40,32,20)+-t(48,56,12)+
s(32,40,20)s(48,48,20)s(32,40,12)++c(32,24,12)-
t(32,48,28)s(24,40,12)-t(48,48,12)-c(16,48,12)-
s(24,32,20)s(16,24,20)*s(24,24,12)+t(16,40,12)-
s(40,32,28)s(32,48,20)*s(48,16,20)+t(32,40,20)*
s(32,32,20)s(40,8,12)+c(48,16,12)-s(24,16,20)-
s(24,8,12)s(48,48,20)+s(24,40,28)-c(32,32,28)*
s(24,32,28)c(48,32,12)c(40,48,12)c(24,32,20)++*
s(40,32,28)s(24,24,28)t(32,48,28)+s(16,24,12)-*
t(40,16,12)t(24,40,20)+s(8,16,12)t(32,48,28)+-
c(40,40,20)s(48,32,20)-c(32,24,20)t(32,32,12)--
c(32,32,20)s(32,16,12)t(48,32,12)c(16,24,12)++*
c(24,32,20)t(24,48,12)-s(24,40,20)*s(8,24,12)-
s(40,16,20)c(40,24,20)s(32,32,12)-*c(32,24,12)-
s(24,24,28)s(32,16,12)t(24,48,28)c(32,48,12)-+*
s(24,40,28)t(24,40,12)-s(48,32,20)-s(8,24,12)+
s(40,24,28)s(32,40,28)s(48,32,20)-s(16,32,20)*-
c(48,40,12)s(32,40,12)+t(24,32,20)t(32,40,28)+*
c(40,32,20)t(24,24,20)+s(24,8,12)t(48,24,12)+-
s(32,48,20)c(24,40,20)t(16,32,12)-*s(40,40,20)+
s(48,8,12)c(40,32,20)c(24,32,12)-+t(32,32,28)-
s(16,40,20)c(32,32,28)*s(32,24,28)s(16,32,20)+*
s(32,32,28)s(32,40,20)t(32,48,20)+*c(40,40,20)*
s(32,40,20)s(40,32,12)s(40,40,20)c(40,40,12)-+-
t(24,32,20)s(16,48,12)c(24,16,12)+s(40,32,12)++
c(32,40,12)s(32,16,20)s(40,48,12)++t(40,24,20)*
s(48,8,12)t(24,32,28)c(32,24,12)-s(24,24,20)-+
c(32,24,20)s(16,32,12)s(48,32,20)+s(24,24,28)*+
s(8,32,12)s(40,40,28)+c(40,16,12)+s(32,24,20)*
s(48,40,20)s(24,32,20)t(32,48,20)-+s(24,32,20)*
c(24,24,20)s(16,16,20)*t(16,40,12)+s(24,32,28)*
s(24,32,20)t(24,32,28)t(16,16,12)s(32,40,28)+**
c(32,32,20)s(16,32,12)-s(16,24,20)-s(48,48,12)-
s(32,32,12)s(8,48,12)+s(48,16,12)+t(24,24,20)-
s(24,40,28)c(32,32,20)*c(24,40,20)s(40,40,28)**
s(32,40,20)s(16,32,20)s(40,24,28)s(24,24,20)*+*
s(24,24,28)t(40,24,20)+s(40,40,20)t(48,48,12)-*
s(24,24,20)s(16,24,20)+c(40,40,12)c(16,16,12)+*
s(32,24,20)s(48,16,20)+s(48,24,20)*s(32,40,20)-
s(24,32,28)s(40,32,28)-s(8,48,12)t(40,24,20)++
s(24,40,20)s(16,24,12)-s(40,48,12)+s(24,24,28)*
s(40,16,20)t(32,32,20)+c(24,24,20)s(24,40,28)*+
s(48,48,20)s(40,40,28)s(40,40,20)s(40,24,28)*-+
s(32,40,28)s(16,32,20)s(32,32,28)s(16,48,12)-+*
t(40,32,20)s(48,40,20)+s(40,32,12)-s(48,24,20)+
c(24,24,20)t(24,32,28)s(16,32,12)-*s(16,24,12)-
c(32,24,12)c(24,40,20)+t(48,56,12)+s(32,24,28)-
s(48,48,20)s(16,8,12)c(32,40,20)+c(24,40,20)+*
c(24,24,12)s(16,48,12)+s(24,32,28)t(16,40,12)-*
s(16,48,20)t(32,32,12)+s(32,40,28)+s(32,16,12)+
s(32,40,12)c(32,24,20)t(24,32,28)*t(40,32,12)-+
s(16,16,20)s(24,16,20)*t(40,16,12)+s(24,32,12)-
s(32,40,28)s(32,24,20)c(32,24,20)s(32,32,20)*+*
t(24,40,28)c(32,40,20)*t(16,16,12)+s(16,48,12)-
s(40,32,28)s(32,40,28)s(40,32,20)*s(48,40,20)*-
t(40,32,20)s(32,40,20)+s(32,48,12)-c(32,32,20)*
c(40,32,20)s(48,32,12)c(24,24,20)t(32,32,28)*++
c(40,32,20)c(24,32,20)s(48,8,12)s(32,40,20)+**
c(40,40,20)t(40,32,20)-s(40,40,20)+s(32,32,28)*
s(16,8,12)s(8,48,12)+s(48,8,12)+t(16,48,12)-
c(16,48,12)s(24,32,20)c(24,48,12)-c(24,40,12)-+
s(40,24,12)t(48,48,12)t(24,40,20)++c(24,32,20)*
s(48,8,12)c(32,24,20)+s(24,48,20)-t(24,32,28)-
t(24,32,28)c(40,24,20)*c(48,32,12)+s(40,40,20)+
t(32,48,20)s(40,40,12)+c(40,32,20)+t(32,32,28)*
s(48,16,20)t(16,16,12)t(24,40,20)+c(40,24,20)+*
t(32,48,28)c(32,40,20)*s(40,32,28)t(40,24,20)-*
t(24,32,20)s(40,48,20)+s(32,32,28)s(16,40,20)-*
s(24,24,28)c(40,40,20)c(32,24,20)c(32,32,20)***
s(32,32,12)s(24,16,20)+c(32,24,20)*s(24,40,28)+
s(32,24,28)s(16,32,20)*s(8,40,12)+c(24,40,20)*
t(16,16,12)c(40,40,20)c(48,48,12)-c(48,24,12)-+
c(40,24,20)t(24,40,12)+c(24,24,12)+s(48,32,20)*
s(16,24,20)c(24,48,12)+t(32,40,28)-c(40,24,20)-
s(24,48,20)s(24,24,28)+t(32,48,12)s(48,16,20)+*
c(40,32,20)c(24,32,20)c(32,32,20)**s(40,24,28)*
s(48,32,12)s(16,32,12)t(32,32,20)++s(24,32,20)*
c(24,40,12)t(32,56,12)+t(24,48,28)s(16,40,20)*+
s(32,24,20)s(32,40,28)*s(32,32,20)s(48,16,20)-*
c(32,24,20)c(48,32,12)-t(24,24,20)c(40,32,12)--
s(48,32,20)c(40,40,12)s(40,40,20)s(40,24,20)*+-
c(40,32,20)t(40,24,12)-c(48,24,12)+s(32,48,20)*
s(16,48,20)t(32,32,28)s(48,48,12)t(40,16,12)+-+
s(48,40,20)c(40,40,20)t(32,48,28)*+c(40,24,20)*
s(24,24,20)c(24,32,12)s(24,48,12)+t(32,32,28)*+
s(24,48,20)t(24,32,20)s(48,24,20)++s(24,48,12)-
c(48,40,12)s(48,32,20)s(40,16,20)t(32,40,20)+*+
s(16,32,12)s(32,40,20)+c(40,40,20)*c(40,32,12)-
s(48,40,12)t(32,24,20)t(32,40,12)++c(32,24,20)*
t(40,32,20)s(8,40,12)t(32,40,12)++t(40,40,12)-
s(16,32,20)s(40,32,28)t(40,48,20)-s(32,40,20)*-
c(32,24,20)s(40,24,12)-s(32,40,28)+s(24,24,20)*
t(24,32,28)c(24,40,20)*s(40,40,12)t(32,40,20)+*
s(24,24,28)c(24,24,20)c(40,40,20)+s(24,40,28)**
s(32,40,20)c(48,32,12)-s(40,40,28)*s(24,16,20)-
s(32,40,28)s(24,32,20)t(24,56,12)s(32,24,20)+**
t(32,32,28)s(24,24,12)-t(40,40,20)t(32,48,28)+*
s(40,24,20)c(24,24,20)s(32,48,12)s(24,24,20)+**
c(24,32,20)c(40,24,20)s(32,40,28)*s(40,40,20)*-
s(40,24,28)s(24,16,20)*t(24,48,28)t(16,48,12)--
s(24,24,28)t(32,40,28)+s(32,32,28)*t(24,24,20)*
s(32,40,28)s(24,16,12)+s(32,24,20)*c(24,32,20)*
s(24,40,28)c(16,48,12)t(32,16,12)c(48,16,12)++*
s(16,40,20)t(32,40,20)+c(24,40,12)-c(40,24,20)-
s(24,16,20)s(48,40,20)+s(16,24,20)*t(32,24,20)+
s(32,40,20)t(24,24,12)-c(40,24,20)c(40,24,12)-+
s(40,40,20)c(24,24,20)t(24,32,28)*t(32,32,28)*-
t(40,32,20)s(48,24,12)+t(24,40,28)c(24,24,12)--
s(40,40,20)c(24,40,20)*c(40,32,20)*c(40,24,12)+
s(32,32,28)s(32,48,20)-s(32,24,12)-c(32,48,12)+
t(24,40,28)s(24,40,28)s(40,32,20)*s(8,24,12)++
s(24,40,28)s(40,48,20)s(16,16,20)+*s(32,32,20)*
s(48,24,20)c(32,32,20)s(24,40,20)-t(40,32,12)--
s(32,48,20)t(32,32,20)-t(24,32,12)t(24,48,12)+-
c(48,48,12)c(48,16,12)+s(32,48,20)-s(24,24,12)+
t(40,40,20)s(40,24,28)s(48,16,20)*t(40,24,12)-+
c(24,32,20)t(24,32,28)*s(40,40,20)c(24,16,12)+*
t(24,32,20)s(32,48,20)+t(24,48,28)*s(16,32,12)+
c(40,32,12)t(40,24,20)t(32,24,12)-+s(48,16,20)+
s(48,40,20)s(48,24,20)c(24,16,12)++c(32,24,12)-
s(48,40,12)s(32,48,20)c(32,40,20)*+t(40,56,12)-
s(24,32,20)s(24,24,20)c(40,16,12)+c(24,40,20)*-
s(16,40,20)s(24,24,20)s(48,16,20)--t(24,40,28)*
t(32,48,28)t(24,48,20)-t(24,48,28)t(32,32,28)*-
s(16,32,20)t(40,40,20)+t(24,32,28)*t(48,56,12)+
s(48,24,20)s(32,24,28)s(32,16,12)-t(16,16,12)-*
s(16,40,20)c(24,24,20)c(40,32,20)c(48,24,12)---
t(48,24,12)t(32,48,20)t(32,40,20)s(24,48,20)+*+
s(32,32,28)s(24,8,12)t(24,32,12)++t(32,40,28)-
c(32,40,20)s(32,24,28)s(48,16,12)-*s(16,40,20)-
s(16,40,20)c(24,32,20)+s(16,48,20)*s(24,48,20)*
c(32,24,12)t(32,32,20)s(32,24,20)*+s(24,32,20)+
c(16,24,12)c(40,40,20)s(32,24,28)*+c(16,32,12)+
s(32,48,12)t(32,40,28)t(40,48,20)c(48,24,12)+-+
s(24,16,20)t(24,16,12)-s(24,32,28)+s(40,24,12)-
t(16,40,12)s(48,24,20)t(32,32,20)-t(32,24,20)-+
c(40,32,20)s(40,40,12)-t(48,16,12)-c(24,24,12)+
t(40,40,20)s(40,48,20)t(24,24,20)s(40,40,20)+*+
t(32,32,28)c(32,32,20)s(16,24,12)-+t(40,48,20)-
s(40,40,28)t(24,16,12)s(32,24,12)+-c(24,40,20)*
t(24,32,28)c(40,32,20)s(32,16,20)s(32,32,12)--*
t(24,40,28)s(32,32,20)c(24,32,20)s(32,40,20)***
s(40,32,28)t(32,32,20)t(40,48,12)+*t(40,40,20)+
s(40,16,20)s(16,32,20)+c(24,40,12)-c(24,24,12)-
s(16,40,20)t(16,16,12)s(16,48,20)t(16,56,12)-+*
s(32,24,28)s(32,24,12)-s(24,40,28)*c(24,40,20)*
s(40,24,20)c(16,48,12)s(32,24,20)+c(32,48,12)+*
c(24,40,20)t(24,48,28)-s(40,48,20)+s(32,24,28)-
s(16,48,20)t(24,48,28)s(32,32,12)-c(40,24,20)+*
c(40,24,20)t(16,16,12)s(48,24,20)+*t(24,32,28)-
t(32,40,20)s(16,48,20)s(32,40,28)t(24,32,12)-*+
s(32,40,28)s(48,40,12)-c(40,24,20)c(32,32,20)+-
s(24,24,28)s(16,32,12)t(32,24,20)+c(24,40,20)++
s(48,32,20)s(40,24,28)s(24,32,28)t(32,24,20)*-*
t(32,24,20)s(24,32,20)+s(32,16,20)*s(24,32,20)+
s(32,24,20)t(32,32,28)s(24,32,12)-s(16,48,20)-+
s(24,40,28)s(8,40,12)s(32,24,28)s(40,40,12)-+*
s(24,32,28)s(24,40,28)*t(32,32,20)*c(24,24,20)*
c(32,24,20)s(40,40,20)c(32,32,20)*c(48,48,12)+*
s(48,40,20)s(24,40,28)+c(40,24,12)-t(32,32,28)*
s(32,40,20)s(32,24,28)s(24,24,28)**t(16,32,12)-
t(32,40,28)t(32,32,28)*s(48,32,20)s(24,16,20)+*
t(32,24,12)t(48,40,12)+s(32,24,12)+s(40,48,20)+
s(32,32,28)s(24,24,28)*t(24,40,28)-t(16,56,12)+
t(40,24,20)t(40,48,12)+s(32,24,28)s(48,24,20)**
s(16,40,12)c(40,24,20)s(24,24,28)s(40,40,28)**+
c(40,32,20)s(40,24,28)s(24,24,28)**c(48,32,12)-
s(32,40,20)s(24,40,20)*t(32,40,20)s(40,40,20)+*
s(24,32,28)s(8,48,12)-t(32,24,20)*c(16,24,12)+
s(40,48,20)t(40,40,20)+c(32,32,20)t(32,40,12)--
s(40,32,20)s(32,24,20)s(40,24,20)*t(40,32,12)--
t(32,40,28)s(40,32,28)*c(40,24,12)-s(8,16,12)+
t(24,32,28)s(48,24,20)+c(40,48,12)s(16,32,12)++
t(32,40,20)c(32,40,20)c(24,40,12)t(40,32,20)+**
s(40,24,28)c(32,40,20)*t(32,48,28)+c(24,40,20)-
s(16,48,20)t(24,48,28)t(24,40,28)s(40,24,20)-*-
t(40,48,20)s(32,40,12)s(16,16,20)+t(40,24,20)+-
s(48,32,20)c(48,24,12)-s(48,16,20)+c(24,32,20)-
s(40,24,28)s(40,32,28)c(40,32,12)-s(8,16,12)+-
s(40,32,28)s(32,40,20)s(32,32,28)s(40,16,20)*+*
s(24,48,20)s(24,32,28)*t(40,24,12)+s(40,24,28)+
c(24,40,20)s(16,40,20)t(16,40,12)--t(24,48,20)-
s(32,40,28)s(48,24,20)s(40,16,20)*+s(16,40,20)*
s(48,8,12)s(16,24,20)+s(8,24,12)s(32,40,28)+*
c(24,32,20)s(16,48,20)-s(24,40,28)*s(40,16,12)+
c(24,24,20)c(32,40,20)c(24,24,12)-+s(32,32,28)*
s(32,48,20)c(24,40,20)c(40,48,12)-+s(24,24,28)-
s(40,48,20)s(48,48,12)t(32,24,20)++s(24,40,20)-
t(32,32,28)t(32,40,28)c(48,40,12)s(32,32,12)+*-
c(16,40,12)s(40,24,28)+c(24,24,20)s(24,24,12)-*
c(24,32,20)s(48,24,12)c(16,48,12)s(24,16,20)++*
c(32,32,20)s(32,24,12)t(48,24,12)+-c(24,40,12)-
t(32,40,28)s(24,48,20)s(24,32,28)*s(16,40,20)+-
s(24,40,20)c(24,32,20)t(48,32,12)+*t(24,32,20)*
s(24,40,28)s(32,32,28)s(48,24,20)+s(32,40,28)**
s(32,8,12)t(24,48,20)t(32,48,28)*+s(32,48,20)*
s(8,48,12)s(40,24,28)s(48,16,20)-+c(32,40,12)+
c(32,32,20)c(32,24,20)s(16,40,12)+c(32,40,20)*-
s(40,24,20)c(40,24,20)t(48,24,12)-c(24,32,20)--
s(40,32,28)c(24,24,20)s(40,24,28)-s(40,40,28)++
t(24,40,28)t(16,40,12)-c(32,32,20)*c(32,16,12)-
s(32,24,28)s(32,32,20)t(40,48,20)+*c(24,40,20)*
s(32,8,12)t(48,40,12)t(24,40,12)++t(48,32,12)-
c(40,24,20)s(40,32,12)t(24,48,28)c(48,24,12)+++
c(32,32,28)s(40,24,28)-t(32,40,28)t(16,24,12)+*
s(48,16,20)s(40,32,20)s(32,24,28)*c(24,32,20)*+
s(48,24,20)s(40,24,20)s(24,40,20)c(32,32,20)*-*
c(24,16,12)c(40,32,12)+t(32,24,12)c(48,48,12)++
c(24,24,20)s(48,48,20)+s(32,40,20)c(16,24,12)-*
s(16,24,20)t(32,24,20)-s(40,40,12)+s(16,40,12)-
c(24,32,20)s(32,24,20)c(24,24,12)t(48,16,12)++*
c(32,24,20)s(16,32,20)t(40,16,12)+t(24,32,28)*-
s(40,16,20)c(48,16,12)s(40,40,20)t(40,32,20)*+*
t(32,40,28)s(32,32,28)s(16,40,20)c(24,32,20)*-*
s(48,16,20)c(32,32,28)*t(16,40,12)+c(40,32,20)+
t(16,56,12)s(24,24,28)s(40,24,20)s(48,24,12)-*+
c(32,24,20)s(32,48,20)t(32,56,12)--c(24,24,20)*
c(32,32,20)t(32,16,12)t(40,32,20)+s(32,16,12)+*
s(40,40,20)s(24,16,20)t(32,40,12)++s(24,24,12)-
c(40,32,20)s(48,32,12)-s(40,40,28)c(32,40,20)**
s(24,32,20)c(24,24,20)*t(24,48,20)+s(24,32,28)*
s(24,24,20)s(40,24,12)+s(40,24,28)+s(48,48,20)-
t(32,16,12)c(40,40,12)+t(32,32,28)c(48,24,12)+*
s(24,24,28)s(16,24,20)t(40,24,20)+s(32,40,28)**
c(32,40,20)t(24,32,28)c(40,24,20)+c(24,32,20)**
s(48,24,20)c(24,32,20)-c(24,24,20)+s(24,40,28)*
s(24,32,20)t(24,40,28)+s(40,48,12)-s(32,32,28)*
s(24,40,28)c(24,32,20)+s(32,40,28)s(48,48,12)-*
c(24,40,20)s(16,32,20)*t(32,24,20)+c(32,16,12)-
c(24,40,20)t(32,24,12)c(24,24,12)+-s(32,48,20)*
s(24,16,20)s(24,40,28)-t(32,32,28)+s(24,32,20)*
c(40,16,12)s(32,40,28)+s(40,40,28)-t(24,32,12)+
s(48,48,20)s(40,32,20)s(24,24,28)t(40,48,12)++*
s(24,8,12)t(24,32,20)c(32,24,20)t(40,16,12)-*+
t(24,40,28)s(40,40,20)s(24,40,20)*s(24,16,20)+*
c(32,40,20)t(48,32,12)-s(40,16,20)-s(16,48,20)*
s(8,8,12)s(24,40,28)c(48,40,12)s(24,32,20)+*+
s(32,24,28)c(24,16,12)s(32,24,12)s(40,24,12)++-
s(24,48,20)s(16,48,20)c(40,40,12)+*t(32,48,12)-
c(40,24,20)s(40,40,28)+t(40,24,12)c(40,16,12)+-
c(40,40,20)s(40,40,28)s(24,32,20)t(24,48,12)+**
s(40,40,28)s(24,16,12)c(24,40,20)t(24,40,28)*+*
t(32,48,20)s(40,48,20)*c(48,24,12)+c(40,24,20)*
c(24,32,20)s(32,16,12)-t(32,40,12)-c(32,40,12)-
c(32,32,20)s(24,40,20)c(40,40,20)--c(24,32,12)-
s(32,48,12)s(48,32,12)+c(32,16,12)+c(40,24,20)*
t(32,40,28)c(24,40,20)*s(24,24,28)+t(24,48,28)*
s(32,16,20)t(24,40,28)s(24,24,28)s(32,32,20)**-
s(40,24,28)c(24,32,20)*s(48,40,20)s(48,24,20)*-
s(48,16,12)t(24,40,28)s(40,40,28)*+s(48,32,20)-
s(32,32,28)c(40,24,20)*s(40,40,20)+s(40,48,20)*
s(48,48,20)t(24,40,28)s(40,24,20)-t(40,40,12)--
s(32,24,20)t(32,32,28)c(32,48,12)-c(32,32,12)--
c(40,32,20)c(40,40,20)t(32,24,12)-s(48,16,20)-*
c(32,32,28)s(40,32,20)s(24,16,20)s(16,32,12)++-
t(32,32,20)s(40,40,28)*t(32,16,12)+s(48,16,20)-
t(32,40,20)s(24,24,28)s(16,40,20)*-t(48,16,12)+
s(40,40,28)s(40,32,28)+c(32,40,20)s(40,24,20)-*
c(16,16,12)c(24,24,20)s(32,32,28)c(48,40,12)-*+
s(40,48,20)s(40,32,20)c(40,32,20)s(32,24,28)**-
c(32,24,20)s(48,48,20)-s(40,24,28)c(32,40,20)**
c(24,40,20)s(32,8,12)s(32,24,20)+s(48,48,12)+*
c(40,32,20)s(48,32,12)t(24,48,20)+s(40,24,12)+*
t(48,16,12)c(24,40,20)s(24,32,20)*+s(24,40,28)*
c(32,32,20)t(48,56,12)c(24,16,12)++c(32,24,20)-
t(24,24,20)c(40,40,20)t(24,48,28)-c(40,16,12)++
c(32,32,28)s(8,32,12)c(40,32,20)t(32,24,20)*+-
c(32,24,20)t(32,32,28)*c(16,40,12)-s(32,16,12)-
s(16,16,12)t(32,40,28)t(40,48,12)-s(24,48,20)*+
c(24,40,12)s(48,32,20)c(48,16,12)-+t(32,40,28)*
s(48,24,20)s(40,24,28)c(24,32,20)-*s(48,48,12)+
t(32,48,20)t(24,24,20)+s(32,32,12)c(16,32,12)+*
s(40,32,28)s(24,8,12)s(48,32,20)+s(24,24,12)+*
s(16,32,20)t(40,24,20)+c(32,32,12)-c(32,24,12)-
s(16,48,20)c(16,48,12)c(32,24,20)s(24,40,20)*+*
s(40,32,20)c(40,40,20)t(32,32,28)*c(24,32,20)*-
c(32,32,28)s(24,40,28)s(8,32,12)-s(24,32,20)*-
s(32,24,28)s(16,40,20)s(24,40,12)-+c(32,32,28)*
s(40,40,28)s(16,8,12)+s(24,32,28)*c(16,40,12)-
s(24,32,28)t(32,40,28)s(24,16,20)-*s(48,16,20)+
s(32,24,20)t(40,48,12)+t(40,48,12)s(24,32,20)+*
c(24,32,20)t(40,32,20)-c(16,16,12)s(24,32,20)+*
c(16,32,12)c(48,48,12)+s(48,40,12)-s(40,40,20)-
t(32,32,28)t(32,32,20)-s(48,8,12)+t(40,16,12)-
s(40,24,20)s(40,40,28)s(16,40,20)-s(40,48,12)--
t(40,56,12)c(32,32,12)t(16,32,12)+s(16,48,20)++
c(32,24,20)s(40,16,20)-s(32,24,28)s(48,24,20)*-
s(32,32,28)t(32,32,12)s(48,40,20)s(40,32,28)*+*
s(48,40,12)s(32,32,20)s(40,40,28)*s(16,16,12)++
s(32,16,20)s(48,32,20)c(32,32,28)t(24,32,20)-*+
s(48,40,20)c(48,40,12)t(32,56,12)+s(24,40,20)-*
s(24,24,28)s(32,16,20)*c(40,32,20)+t(24,32,28)*
c(32,32,28)s(16,48,20)c(40,48,12)+-c(16,24,12)-
s(40,40,28)t(24,24,12)t(40,48,20)+-s(24,40,12)-
c(48,24,12)c(40,40,12)s(32,24,28)c(40,24,20)*++
s(32,32,20)t(40,48,20)-t(24,32,28)c(32,24,20)**
c(24,40,20)s(32,48,12)s(16,48,20)+t(16,48,12)-*
s(32,24,20)s(24,32,20)c(16,24,12)+c(24,48,12)-*
c(40,32,20)t(24,40,20)s(24,32,20)s(40,40,20)+*-
t(32,40,20)t(24,32,12)+s(32,48,20)*t(40,32,20)+
s(40,48,20)s(40,32,20)s(48,16,20)s(40,48,20)+*-
c(24,16,12)s(40,24,20)+t(24,32,20)s(24,40,12)++
c(40,40,20)c(32,32,28)t(40,48,20)*s(24,48,20)+*
t(24,48,20)t(40,40,20)+s(32,32,28)t(16,32,12)-*
s(8,16,12)t(40,24,20)+s(48,16,12)+c(16,24,12)-
t(24,48,28)c(32,24,20)s(48,40,20)c(40,32,20)++*
s(24,24,20)c(40,32,20)s(32,48,12)-c(40,32,12)--
t(32,40,28)c(24,32,20)s(32,48,12)-*t(16,48,12)+
s(24,8,12)s(48,40,20)s(16,32,20)+s(16,40,20)-+
t(24,24,20)s(48,32,20)s(24,40,28)+s(24,32,28)**
c(32,48,12)s(48,8,12)+s(24,48,12)c(48,40,12)+-
c(16,48,12)c(24,32,20)c(16,48,12)-+t(32,24,20)*
t(16,48,12)s(16,32,20)+c(16,16,12)s(40,24,12)+-
t(32,24,20)t(24,40,28)s(24,40,20)*+t(32,40,20)*
s(40,24,20)c(24,16,12)+s(40,32,28)c(32,32,20)**
t(32,32,28)t(24,40,12)-c(48,40,12)+c(32,32,12)-
s(32,16,20)c(32,40,20)+s(24,24,12)-s(48,48,12)-
s(16,40,20)s(40,40,20)t(24,40,20)-s(40,48,20)+-
s(24,24,20)t(32,48,28)s(40,32,20)s(16,48,12)+*-
c(32,24,20)s(40,48,12)s(48,24,20)s(24,16,20)++*
s(40,48,20)s(48,32,12)-t(32,48,28)*c(48,24,12)+
s(32,32,28)t(48,32,12)-t(24,24,20)s(40,24,28)+-
t(24,48,12)c(32,40,12)s(40,40,28)t(24,32,28)*++
s(16,8,12)t(32,32,28)+t(32,32,12)-s(24,40,20)-
s(40,16,20)t(32,16,12)-s(40,8,12)+c(24,24,12)-
s(16,48,20)t(24,48,20)c(32,40,12)+s(32,24,28)-+
c(40,32,20)c(40,48,12)t(32,24,20)c(32,40,12)-+*
c(48,48,12)s(24,32,20)+s(24,32,28)t(40,32,12)-*
s(32,32,20)c(24,40,12)+t(16,32,12)s(40,16,20)+-
s(32,16,20)s(48,48,12)s(24,24,20)+s(32,24,28)**
t(32,48,28)t(32,32,20)s(48,48,12)+s(24,48,20)-+
s(48,48,20)s(32,40,20)c(24,32,20)s(16,16,20)-*+
s(48,8,12)t(24,40,28)s(24,40,20)*+t(24,48,28)*
t(48,32,12)t(24,32,20)s(40,24,12)+s(40,40,20)-+
s(32,32,20)s(32,40,20)s(24,16,12)t(40,40,12)+-*
c(32,32,20)s(24,40,28)*t(32,24,20)+s(40,32,20)-
s(40,32,28)t(32,48,20)s(40,24,12)+-c(32,32,20)*
s(40,48,20)s(24,16,20)+s(24,24,28)s(48,24,20)+*
s(40,40,28)t(24,40,20)s(32,32,12)--t(32,40,20)-
c(24,40,20)s(32,16,20)-t(40,24,20)c(24,48,12)+*
s(48,32,20)t(32,48,28)t(40,56,12)t(24,40,28)+*+
c(16,16,12)s(48,16,12)t(32,32,28)s(24,32,28)*++
s(32,32,28)s(24,40,28)s(32,24,20)+*c(40,24,20)*
c(40,40,20)t(32,40,28)*s(24,24,28)+c(40,40,20)*
s(40,40,28)s(32,40,28)*t(32,32,28)-t(24,40,28)+
s(32,40,28)s(32,16,12)s(48,16,20)s(32,48,12)++*
s(16,24,20)s(24,8,12)s(40,32,28)s(16,24,20)-+-
s(32,48,20)c(32,40,20)*s(24,48,12)-t(16,32,12)-
c(24,40,20)t(24,48,28)*c(32,40,12)s(16,32,20)+*
s(40,16,20)s(32,48,12)+c(16,32,12)t(40,24,20)+*
s(24,16,20)t(32,40,12)+s(40,40,20)s(48,24,20)++
c(32,32,20)t(32,16,12)-c(24,32,20)*s(24,40,12)-
s(24,24,28)c(24,32,20)s(40,24,28)*-s(24,40,28)-
t(24,48,20)s(48,40,20)+c(32,32,28)*t(32,32,12)-
c(16,40,12)s(48,40,12)+t(32,16,12)+s(24,48,12)-
s(32,32,20)s(16,40,12)-c(24,40,20)*s(24,24,28)*
s(40,32,28)c(40,40,20)+t(40,40,12)-s(32,40,28)-
c(32,40,20)t(16,48,12)-s(32,40,28)c(40,40,20)**
s(24,32,20)c(48,32,12)t(24,40,28)+s(24,24,28)**
s(32,24,20)t(48,16,12)s(16,32,12)+-t(40,40,12)-
s(32,24,20)c(48,40,12)+c(40,24,20)*c(48,16,12)-
c(32,40,20)s(40,40,20)c(32,32,20)s(40,32,20)**-
s(32,24,20)s(24,40,28)s(24,24,28)*c(24,40,20)**
s(32,32,20)s(8,16,12)+c(40,32,12)-t(16,40,12)-
t(16,40,12)t(32,32,28)c(24,24,20)s(32,32,28)**+
s(32,32,28)c(32,32,28)t(40,40,20)-*s(48,24,12)-
s(48,48,12)t(32,56,12)+s(32,24,28)c(24,16,12)--
t(32,48,20)c(40,32,20)s(40,48,20)t(24,32,28)+*+
c(32,32,28)s(24,40,28)*t(24,32,28)c(24,32,20)**
s(32,32,28)s(32,48,20)c(48,48,12)-*s(40,40,20)+
s(40,16,20)s(32,32,12)+s(32,32,28)*s(24,16,12)-
s(40,32,28)c(48,48,12)-s(48,24,20)s(40,40,20)--
s(48,48,20)s(24,8,12)s(24,40,20)+c(32,32,28)*+
s(40,40,20)s(32,24,28)s(16,32,20)*+s(16,24,20)-
s(40,32,20)s(48,32,20)*c(24,24,20)s(32,32,28)*-
s(32,32,20)s(24,24,28)s(48,40,20)+s(48,16,20)-*
c(16,48,12)t(24,40,20)s(32,24,20)+s(24,40,12)-+
c(40,24,20)s(24,48,12)+s(32,40,28)-s(24,32,12)+
t(24,32,28)s(48,48,20)-c(48,32,12)+s(40,40,28)*
s(40,48,20)t(16,16,12)+s(32,40,28)*t(24,32,20)-
c(32,32,28)s(24,48,12)s(40,24,12)+-c(32,40,20)-
t(40,48,20)c(24,48,12)-s(40,24,20)c(48,32,12)-+
s(48,32,12)t(40,48,20)+c(16,24,12)+s(16,24,20)*
t(24,24,20)s(48,32,12)c(32,32,12)++s(40,24,28)*
t(32,32,28)s(32,16,20)s(40,24,20)*-c(32,32,20)*
c(40,24,20)s(32,24,20)c(40,32,20)t(32,40,20)-++
s(32,40,12)s(48,32,20)+s(32,40,20)c(16,48,12)+*
s(32,24,28)t(24,32,12)s(48,40,20)+t(24,40,12)+*
s(40,32,28)t(24,48,28)*t(48,24,12)+t(24,24,12)-
s(24,40,20)s(32,48,20)-s(16,48,12)+t(24,32,28)*
s(24,40,20)s(32,16,20)s(24,24,28)c(32,32,28)**-
s(24,40,28)t(24,48,12)-s(48,48,20)-s(24,40,20)-
c(40,32,20)t(32,32,20)-t(32,32,28)s(24,32,20)*-
s(24,32,20)s(48,24,12)+c(24,40,20)t(32,40,12)--
s(32,40,20)s(32,48,20)*t(48,32,12)s(40,32,12)+-
t(24,40,28)s(48,8,12)t(24,40,28)t(32,48,20)*+*
s(32,40,28)c(32,32,28)s(48,48,20)t(40,24,12)+**
c(40,48,12)c(24,24,20)t(32,48,20)-+t(16,16,12)-
c(40,40,20)s(48,40,20)*s(32,16,20)+s(24,24,12)-
s(48,48,12)s(32,24,20)c(24,24,20)t(24,48,28)-*+
t(32,48,20)c(24,40,20)*s(24,32,20)+s(32,32,20)*
s(24,24,20)s(40,40,12)s(24,40,20)t(32,48,12)-+*
c(40,32,20)c(32,32,28)s(32,40,20)t(16,48,12)--*
t(24,48,28)s(32,32,28)*s(32,16,20)s(32,24,20)*+
s(40,24,28)s(24,40,12)s(16,16,20)+s(16,24,20)*-
s(24,32,20)c(40,40,20)t(32,16,12)+s(32,48,20)*-
c(32,32,28)s(40,24,28)-t(24,32,20)-s(8,16,12)-
t(32,32,28)s(48,32,20)*s(24,24,20)+t(48,48,12)+
s(8,48,12)t(32,40,28)+t(32,40,28)c(24,16,12)+*
s(32,40,28)s(24,48,20)s(24,32,28)*-c(24,32,20)-
s(24,24,28)t(32,32,28)*s(40,24,20)+c(24,24,20)*
s(24,16,20)c(40,40,20)c(40,24,20)*t(40,40,12)--
s(16,32,12)c(40,40,20)s(40,48,20)*+t(24,40,28)-
c(32,32,28)c(40,40,20)c(40,32,20)c(40,24,20)**-
c(32,40,20)s(48,16,20)+s(32,24,20)*c(32,40,20)*
c(32,40,20)t(40,56,12)-s(32,40,28)s(40,24,20)-+
s(40,40,28)c(40,40,20)s(48,16,20)+*s(48,16,20)-
t(24,40,28)c(48,24,12)t(24,24,12)+-t(32,24,20)-
s(32,40,20)t(24,40,20)c(40,40,12)-+t(16,48,12)-
t(48,48,12)t(32,48,28)t(40,48,20)*+s(24,32,20)-
c(40,24,20)c(16,16,12)s(32,32,28)+*s(48,24,20)*
c(40,32,20)s(16,16,20)s(48,24,20)+s(40,32,28)*+
c(40,40,20)s(32,40,20)*c(24,32,12)-s(8,40,12)+
t(32,40,28)c(32,32,20)t(16,40,12)-*c(24,24,20)*
s(32,48,20)s(40,48,20)*t(24,48,28)s(24,40,20)++
t(24,48,20)c(40,48,12)-s(16,32,12)+s(24,16,20)-
s(32,40,20)s(24,48,20)c(32,32,28)s(24,16,20)-**
c(32,32,28)s(32,16,20)c(32,24,20)*-s(48,24,12)-
s(32,40,28)s(40,32,20)t(48,16,12)c(48,32,12)++*
c(32,32,20)s(32,40,20)c(24,48,12)s(24,32,20)+**
c(32,16,12)c(24,32,20)c(24,40,12)-s(24,16,20)*+
c(32,32,20)t(32,24,20)s(24,32,28)*c(48,16,12)+-
c(24,32,20)s(24,32,28)c(40,32,20)s(32,32,28)***
c(32,32,20)t(32,24,12)c(32,48,12)++s(32,48,20)*
t(32,40,28)t(32,32,12)-s(24,40,28)t(24,48,28)**
c(48,40,12)t(32,24,12)+t(32,56,12)+s(40,48,20)*
s(48,40,20)c(40,24,20)s(40,32,28)s(16,16,20)-+*
s(48,48,12)c(40,24,20)+t(48,48,12)-s(48,24,20)-
s(32,40,20)t(32,32,12)-c(32,32,20)s(32,40,20)**
s(24,16,20)s(24,40,20)t(32,40,28)*c(48,24,12)+-
s(32,32,28)s(24,40,28)s(40,32,20)c(24,48,12)+**
s(40,40,20)c(32,40,20)t(32,32,20)-c(32,32,12)+*
t(16,56,12)s(24,40,12)c(16,40,12)++t(40,32,20)+
t(24,48,28)t(48,24,12)s(40,40,28)s(32,40,20)-++
t(16,48,12)s(40,24,20)+c(32,32,20)*t(40,24,20)+
c(40,32,20)s(24,32,20)-s(32,40,20)c(24,24,20)--
c(24,24,20)t(32,40,12)s(16,24,20)+c(24,40,20)**
s(8,24,12)s(40,40,28)+t(24,32,20)-t(24,40,28)-
c(48,48,12)s(48,32,20)t(24,32,20)s(48,32,20)-++
s(32,40,20)s(32,40,28)t(24,32,28)c(16,40,12)--*
s(16,8,12)t(48,40,12)s(48,16,20)++s(40,40,28)*
s(48,32,20)c(32,24,20)s(8,16,12)+t(16,24,12)-*
c(48,32,12)s(32,16,12)s(16,32,20)t(24,32,28)*++
s(48,16,20)c(32,24,20)*s(24,16,20)c(32,24,20)*+
s(32,24,28)t(40,32,20)c(24,32,20)+s(48,32,20)**
t(32,24,20)s(24,40,28)t(40,32,20)t(24,48,28)--+
s(24,24,20)s(16,40,20)s(16,24,20)s(24,32,20)-+*
s(40,32,28)t(24,32,28)t(24,48,28)*c(40,40,20)+-
s(24,24,28)t(24,40,28)*t(32,24,12)+c(48,32,12)+
s(32,32,28)t(24,40,28)+t(24,32,12)-s(40,24,20)*
c(48,40,12)c(40,32,20)s(32,40,28)*+s(48,32,20)*
t(48,16,12)s(40,24,20)c(40,40,20)*+c(32,32,20)*
t(32,48,28)s(16,40,20)t(24,40,28)+-t(32,32,28)+
s(40,40,20)t(32,32,28)s(24,24,28)*s(40,32,28)*-
s(16,48,20)s(16,32,20)s(24,24,28)s(40,16,20)*+*
s(40,24,28)s(24,32,20)-s(24,8,12)-t(48,24,12)-
s(24,24,28)s(32,32,20)c(32,40,20)s(24,32,28)**-
c(40,32,20)s(40,40,20)+c(48,48,12)-t(24,48,20)-
s(32,24,28)s(32,40,20)s(32,40,28)s(24,32,28)***
t(24,40,28)s(24,48,12)t(40,24,20)+-t(16,24,12)-
t(24,48,12)c(32,24,20)+c(40,32,20)*s(40,8,12)+
c(32,24,20)s(32,24,28)t(40,16,12)-*c(40,24,20)*
s(40,32,28)c(24,32,12)-t(32,40,28)*s(48,32,20)+
c(32,24,20)s(32,40,28)*c(40,40,20)s(24,40,28)**
s(40,24,28)s(8,40,12)s(32,24,20)+c(32,32,20)**
t(48,24,12)t(48,48,12)t(32,40,28)t(24,40,20)*++
c(32,32,28)c(24,24,20)t(32,24,20)-*c(40,48,12)+
s(40,32,28)t(24,48,28)s(32,32,28)*t(24,24,20)+*
s(40,24,20)c(32,40,20)s(24,40,28)s(32,16,20)-*-
c(32,40,20)s(32,32,20)*s(24,16,20)-t(16,40,12)+
t(24,32,28)t(32,32,28)*s(40,32,20)s(24,32,28)**
t(32,32,20)s(48,24,20)s(24,32,28)-s(48,32,12)+-
c(32,32,20)c(16,24,12)s(24,40,20)s(40,32,20)-++
t(24,48,20)c(32,40,20)s(24,32,20)t(32,40,28)++*
t(48,56,12)s(24,32,20)c(32,32,28)c(16,24,12)-*+
t(32,48,28)c(24,40,20)t(32,32,20)t(40,48,12)+**
s(40,24,28)t(32,40,28)t(32,24,20)-c(40,32,20)*+
s(8,40,12)t(40,16,12)s(32,32,28)s(24,40,28)*++
c(24,40,20)t(32,32,28)s(32,40,12)-+t(32,48,28)*
c(40,40,12)t(48,32,12)+s(24,24,28)+s(24,40,12)-
s(40,40,28)c(16,40,12)c(24,24,20)t(32,32,20)*+*
c(16,40,12)s(32,16,20)t(32,40,28)-+c(16,16,12)-
t(32,40,20)s(48,32,12)t(24,40,28)s(24,40,20)*+*
t(32,32,28)c(24,16,12)-t(32,24,20)-t(24,32,28)*
c(24,32,20)s(16,32,20)*t(32,40,20)s(32,8,12)++
s(32,32,28)t(16,16,12)s(16,40,12)+-s(40,32,20)*
c(32,32,20)s(16,48,12)+s(24,40,28)*s(24,24,20)*
s(16,48,12)c(40,24,12)+c(32,16,12)-t(24,24,20)-
t(48,24,12)s(32,32,28)c(24,32,20)*+c(32,32,20)*
c(24,32,20)s(40,24,20)s(40,40,12)-+s(24,48,20)-
t(40,40,12)s(40,40,28)c(32,24,20)*+c(32,48,12)-
c(24,24,20)s(8,32,12)+s(16,32,20)c(24,32,20)++
c(24,32,20)s(24,40,28)s(24,48,12)-*t(24,40,28)+
s(24,48,20)c(24,24,20)s(40,24,20)c(40,48,12)+*+
s(40,40,28)c(32,48,12)-s(32,40,20)-c(32,16,12)-
s(40,24,28)s(24,32,28)*c(48,32,12)-t(24,56,12)+
t(32,40,28)s(24,48,12)-s(48,48,20)+s(40,32,28)*
t(32,48,28)c(32,16,12)+s(24,32,20)*t(40,24,20)+
c(32,40,20)s(24,32,28)t(40,40,20)-s(24,16,12)--
s(40,48,20)s(40,40,28)s(48,48,20)--s(48,16,20)+
t(32,40,28)c(24,24,12)-s(32,16,20)c(32,32,20)*+
s(16,40,20)c(24,40,20)*s(24,32,28)s(40,40,28)*-
c(16,40,12)t(32,32,12)+c(40,40,20)s(32,32,28)+*
t(24,48,28)c(24,24,20)s(8,16,12)s(32,48,20)++*
s(32,32,20)s(24,40,20)+t(32,48,12)c(40,32,12)+*
s(24,32,28)t(24,48,28)s(32,40,28)t(32,32,28)-+*
s(24,40,28)s(48,40,20)c(24,48,12)+*s(40,24,20)-
c(32,24,20)c(40,40,12)s(32,32,20)s(8,8,12)++*
s(40,40,20)t(24,48,28)c(32,32,28)+s(32,16,20)*-
t(32,48,28)c(40,32,20)c(32,40,12)-t(48,16,12)-+
s(48,24,12)t(24,16,12)+t(32,40,28)-s(8,48,12)+
t(32,32,28)s(16,48,20)-s(40,40,20)c(32,40,20)**
t(48,48,12)s(16,16,20)c(24,40,12)s(16,24,12)+-+
s(40,24,28)s(40,32,28)+t(48,24,12)-t(24,40,12)-
c(32,32,20)s(24,16,12)t(32,32,28)+s(32,16,20)-+
s(48,48,20)s(32,40,28)s(16,8,12)t(24,48,28)++*
t(24,32,20)s(24,32,20)s(16,16,12)+s(24,40,28)**
s(40,32,28)s(32,16,20)c(32,40,12)+*s(24,40,28)*
s(32,16,20)t(24,32,20)s(8,32,12)c(40,32,12)++-
s(16,32,20)s(32,40,28)s(40,16,20)s(24,24,28)++*
s(16,32,20)s(32,32,20)t(32,32,20)s(40,24,12)++*
s(32,8,12)c(24,40,20)s(16,32,20)*+s(48,48,20)+
c(32,16,12)s(32,40,20)+c(24,40,20)s(16,40,12)-*
c(24,24,12)s(32,40,20)s(32,24,20)c(40,32,20)*-+
t(32,32,28)t(32,32,12)-c(24,48,12)-s(40,32,28)*
c(32,32,20)c(32,40,20)*s(40,24,28)t(24,32,20)+*
c(24,24,20)c(48,32,12)t(32,24,20)s(32,8,12)-+*
s(24,32,28)s(24,24,28)t(40,40,20)+s(32,24,20)--
s(32,32,20)s(32,16,20)c(32,24,20)*t(32,40,20)+*
t(24,48,20)t(40,40,20)+t(24,40,28)*t(24,16,12)+
t(24,32,20)s(32,32,20)s(24,16,20)+*t(16,24,12)+
c(40,24,20)s(40,48,20)+s(40,32,20)c(32,24,12)--
t(32,32,20)s(8,32,12)s(32,40,20)+s(16,48,12)-*
s(40,32,28)t(32,40,28)-c(48,40,12)s(16,40,20)+-
c(24,24,20)t(24,32,28)*t(24,24,12)-c(24,32,12)+
s(16,48,20)s(32,40,28)s(32,48,20)-s(8,32,12)--
c(32,32,28)s(40,24,28)-s(24,16,20)-s(24,40,20)*
t(24,32,28)s(40,40,28)s(40,24,28)*-t(16,24,12)+
t(24,32,28)s(32,24,28)s(16,32,20)--s(32,32,28)*
s(40,40,28)t(24,24,20)t(48,48,12)s(24,40,28)+*-
c(24,32,20)c(32,32,20)*c(24,32,12)s(48,16,12)+*
c(48,24,12)c(40,40,12)+s(40,24,28)s(24,40,28)*-
s(40,40,28)t(24,48,28)*c(32,16,12)s(24,48,20)+*
c(32,24,20)s(16,32,12)s(40,32,20)+t(32,32,12)-*
c(48,48,12)s(48,24,20)+s(32,24,28)*s(48,16,20)+
t(24,40,28)c(32,32,28)s(32,48,20)s(40,24,28)+**
s(32,24,28)s(32,40,20)*s(32,48,20)+t(48,48,12)+
s(24,32,28)t(24,24,12)-t(40,48,20)-t(32,32,20)-
s(8,32,12)s(48,8,12)+s(32,16,20)s(16,24,12)-+
s(16,32,20)s(24,32,28)t(24,48,20)+s(16,48,12)-*
s(24,32,28)s(40,24,20)+s(48,32,20)s(48,24,20)+-
t(24,32,28)c(32,32,28)c(24,32,12)-*s(16,40,12)+
s(32,24,28)s(24,32,20)*t(32,40,20)+t(40,48,20)-
s(32,32,20)c(32,32,20)t(40,24,20)c(40,40,12)+-+
s(40,24,28)s(48,8,12)s(32,24,20)+*c(48,16,12)+
s(24,32,20)c(24,16,12)+s(40,32,28)c(40,16,12)-*
t(16,24,12)t(32,32,20)+s(40,24,12)+t(40,24,20)*
s(40,24,28)c(24,24,20)s(48,40,20)s(32,16,12)+--
t(32,32,28)c(32,24,20)*s(32,24,28)s(24,40,28)**
t(24,48,28)s(32,40,28)*s(32,16,20)c(40,40,20)+*
t(24,32,28)s(48,16,12)+s(16,40,12)-s(32,48,12)-
c(40,24,20)s(16,48,12)+c(32,24,20)*c(32,40,12)+
c(24,40,20)c(32,40,20)s(32,8,12)+*t(24,48,20)*
s(24,40,28)s(24,32,28)t(32,32,28)**t(16,32,12)-
s(40,24,20)t(32,32,20)c(48,24,12)+s(24,48,20)-*
t(40,32,12)s(16,24,12)+c(24,24,20)s(40,16,12)-*
c(32,32,20)c(40,32,20)c(24,40,20)c(40,24,12)--*
c(40,24,12)s(24,40,28)s(24,48,12)-+s(32,40,28)*
c(24,32,20)s(24,40,28)c(32,48,12)-*t(24,24,20)*
c(40,40,20)s(24,24,12)s(48,48,20)t(40,48,12)-++
c(24,32,20)c(32,40,20)s(40,24,28)c(24,16,12)---
c(32,40,20)s(40,16,20)t(40,48,20)+c(32,32,12)-*
t(32,16,12)s(48,32,20)+s(40,24,28)s(16,24,20)-*
s(32,16,20)s(40,40,28)s(24,32,28)*-s(40,24,20)+
t(24,32,12)s(40,40,28)t(32,40,28)t(24,32,28)**+
s(16,16,12)c(40,40,20)s(48,32,20)-+s(40,32,20)+
c(40,24,20)t(32,24,20)s(16,32,20)+s(32,24,20)*-
c(32,32,28)s(40,32,28)s(8,16,12)+c(24,24,20)--
s(32,8,12)t(32,32,28)s(24,40,28)*s(24,40,20)*+
c(24,32,12)s(48,32,20)+c(32,40,20)*t(32,40,20)+
t(40,24,20)t(24,32,20)-s(40,8,12)+s(40,24,28)*
s(40,32,28)s(24,48,12)-s(48,48,12)s(40,16,12)+*
t(32,32,28)c(32,32,20)t(40,48,12)-s(32,24,20)**
c(32,32,12)c(32,40,20)t(48,16,12)c(24,40,12)+-+
c(24,40,20)s(32,32,20)*s(32,24,12)+c(16,24,12)-
s(40,24,12)s(40,40,28)s(32,48,20)*s(24,24,20)-+
s(32,24,28)s(24,40,20)*s(40,16,20)t(40,24,20)*-
t(32,32,28)s(32,16,20)s(32,24,28)c(40,24,20)***
t(32,40,28)s(40,16,20)+c(40,32,20)+c(32,40,20)*
t(48,24,12)s(40,40,20)s(32,40,20)*+t(24,40,28)*
t(32,24,20)s(16,24,12)c(16,32,12)+c(32,32,12)--
s(32,24,28)s(32,48,20)c(32,48,12)--c(32,32,20)*
s(32,40,20)t(24,40,28)*s(24,32,28)s(40,32,20)*-
s(48,40,20)s(32,32,20)-c(32,32,20)c(48,32,12)-+
s(32,32,12)t(40,48,20)c(16,48,12)++s(32,40,20)-
s(48,40,20)s(40,48,20)c(32,24,12)+*s(32,32,28)*
s(24,32,20)t(32,40,28)*s(32,32,28)s(40,16,20)*+
s(32,24,28)s(40,32,20)s(40,40,20)s(16,40,20)+**
c(32,24,12)c(40,24,20)s(48,24,20)+t(32,24,12)-+
s(32,24,20)s(32,24,28)t(32,40,28)**c(40,32,12)+
s(8,24,12)t(32,40,28)+s(32,48,12)-s(16,16,20)-
s(48,32,20)s(40,48,12)+t(32,48,28)s(24,32,12)++
s(48,48,12)s(32,24,28)+s(8,16,12)+s(24,40,28)*
c(24,24,20)s(32,24,28)c(32,32,12)-*s(40,24,12)+
s(40,48,20)s(8,24,12)+t(48,56,12)c(40,32,12)+*
t(32,32,28)s(24,32,28)t(16,40,12)-s(24,16,12)-*
t(32,48,28)t(24,48,12)-c(40,40,20)*t(32,32,20)+
s(24,48,20)t(40,48,12)t(40,40,12)++c(16,32,12)-
s(16,16,20)t(32,32,28)+s(16,40,20)-c(32,40,12)-
s(24,16,12)c(32,40,12)+c(32,24,20)*s(24,8,12)-
s(40,32,20)c(48,48,12)-t(48,16,12)-c(40,16,12)-
c(40,40,20)c(24,24,20)s(48,24,20)+s(24,24,28)*+
t(24,32,28)c(16,32,12)c(32,48,12)++s(40,40,28)*
t(24,24,20)t(48,24,12)c(32,40,12)++s(24,24,12)-
t(24,16,12)t(32,32,28)+s(24,32,28)s(24,24,28)**
s(24,32,28)s(16,8,12)+c(32,32,20)*s(24,24,28)*
s(48,32,20)t(24,32,28)+s(16,32,20)t(24,32,12)-*
t(32,40,20)t(40,16,12)+c(40,40,20)t(32,48,28)**
s(48,40,20)c(40,48,12)-t(24,24,20)-t(48,40,12)+
t(48,56,12)c(32,40,12)+c(24,40,20)*c(16,40,12)+
s(48,48,20)s(40,40,28)+s(32,24,12)-s(24,48,12)-
s(24,40,20)t(40,24,20)-c(40,48,12)-c(32,48,12)-
s(40,40,28)c(32,40,20)s(48,24,20)+t(24,16,12)+*
t(48,16,12)c(24,48,12)+s(24,24,20)+s(16,32,20)-
s(24,24,28)c(40,24,20)*s(16,32,20)s(24,24,28)*+
s(40,24,28)s(40,24,12)-s(40,40,28)s(32,40,12)-*
s(40,24,12)c(40,40,20)t(32,40,28)s(40,40,28)*-+
s(40,40,28)t(16,32,12)+c(40,24,20)-s(24,32,28)*
s(24,16,12)t(16,56,12)s(32,40,12)++s(48,16,12)+
c(32,32,28)t(24,32,28)t(40,40,20)c(24,16,12)+*-
c(16,48,12)s(24,40,20)+s(24,24,20)-c(32,32,28)*
s(16,24,20)c(32,24,20)c(24,32,20)*c(16,16,12)--
c(40,32,20)s(32,24,20)c(24,32,20)s(24,24,20)**-
s(40,32,20)s(48,48,12)c(40,32,20)t(32,32,28)*+*
c(32,32,28)t(32,32,20)-t(32,40,12)c(48,48,12)+-
c(32,48,12)c(16,48,12)s(24,24,20)s(16,16,20)-++
s(40,32,28)s(24,48,12)c(40,48,12)+-c(24,32,20)*
s(16,48,20)c(24,40,12)c(24,32,12)s(48,32,20)++-
t(32,40,28)s(24,32,20)s(32,40,28)s(16,48,12)-**
c(16,24,12)t(32,48,28)+c(40,40,20)*s(40,40,20)*
c(40,40,20)s(40,32,28)*t(24,16,12)c(48,32,12)++
s(48,40,20)c(48,40,12)s(48,8,12)c(16,32,12)++*
s(40,40,20)s(24,40,28)*t(32,32,28)c(16,40,12)+*
s(48,32,20)s(24,32,28)s(40,40,12)-+c(24,40,20)*
c(24,24,20)t(32,32,28)+s(24,16,20)c(32,40,20)-*
s(48,16,20)c(24,24,20)t(32,48,12)+-c(24,40,12)+
c(40,48,12)c(24,40,20)+s(24,32,20)t(24,24,12)--
s(32,32,20)s(16,40,20)t(32,48,28)-+s(32,24,12)-
t(32,48,20)s(24,24,20)+s(16,16,12)s(16,32,12)+*
s(32,16,12)c(32,48,12)+s(16,40,12)+t(32,48,20)-
s(16,32,20)t(16,40,12)c(16,48,12)++c(32,40,20)*
s(40,24,28)s(32,40,28)t(32,40,20)-s(40,48,12)--
s(32,48,20)c(24,40,12)-t(40,16,12)+s(32,48,20)*
s(32,40,28)t(48,32,12)-s(16,40,12)s(48,32,20)+-
s(24,48,12)s(40,24,20)s(8,8,12)+s(24,24,28)-+
s(40,16,20)s(32,24,12)s(32,16,12)+c(40,40,20)+*
c(48,16,12)c(24,32,12)+t(24,32,28)*c(40,24,20)+
c(24,24,20)s(40,32,20)s(16,48,12)+t(24,16,12)+*
c(24,32,20)s(32,32,20)+t(32,40,12)-s(24,16,20)*
t(32,48,28)c(40,40,20)s(40,48,20)t(48,48,12)---
s(24,24,12)t(16,56,12)+c(48,48,12)s(24,48,12)+-
c(40,40,20)c(32,40,20)+s(24,24,28)c(16,16,12)-*
s(32,32,20)s(16,40,12)s(24,40,20)s(16,48,12)-+-
s(32,32,20)s(40,24,28)*t(24,32,28)s(40,32,28)**
s(32,24,12)s(48,40,20)+c(40,32,20)*c(32,40,20)*
s(48,40,20)t(48,24,12)+c(32,32,20)s(24,32,12)-*
c(40,32,12)s(16,16,20)+s(24,16,20)*s(40,40,20)-
t(24,48,20)s(24,24,28)-s(40,16,12)+c(24,40,12)-
t(40,32,20)t(32,40,28)+s(40,32,20)c(48,40,12)-*
c(32,32,28)s(24,48,20)t(24,40,12)--s(40,24,20)-
s(32,32,20)t(24,24,20)-s(32,32,28)s(40,24,28)**
s(32,16,20)t(32,40,28)s(40,40,28)*-c(32,24,20)*
s(16,48,12)s(40,24,12)s(48,32,12)++t(24,16,12)+
s(40,24,20)s(32,40,12)-s(40,32,20)t(40,40,20)*-
t(32,40,20)s(24,24,20)s(24,32,12)--c(16,24,12)+
c(32,24,12)s(24,40,12)+s(24,32,20)c(24,24,20)**
t(32,32,20)s(32,8,12)+s(16,24,20)s(24,32,20)+*
c(40,32,20)s(32,48,20)+c(32,24,20)*s(32,40,20)*
c(40,40,12)s(40,8,12)c(48,48,12)++c(40,32,20)-
s(16,40,20)t(24,48,28)*s(32,32,20)+c(40,40,12)-
s(32,48,20)s(24,24,28)+t(24,32,20)-s(24,24,20)-
s(40,24,20)t(16,16,12)s(32,16,20)+s(48,40,20)+*
s(24,16,20)s(40,48,20)+t(32,40,28)s(24,24,28)**
s(24,32,28)t(24,40,28)*t(32,32,12)-s(32,40,20)*
s(24,24,20)t(32,48,28)t(32,40,28)*-t(32,40,12)+
c(40,24,20)s(16,16,12)s(24,40,12)s(24,32,12)+++
s(40,16,20)s(32,32,28)s(40,32,20)-s(16,48,20)+-
s(48,32,20)s(48,48,20)-s(24,40,20)t(32,56,12)++
s(32,40,20)s(16,40,20)t(32,32,28)-s(48,40,20)++
s(24,32,20)s(40,24,20)c(48,16,12)s(16,16,12)+-+
c(40,40,20)c(48,24,12)t(16,48,12)+-t(24,48,28)*
s(40,32,28)t(24,32,20)-s(48,40,20)*s(40,40,20)*
t(32,40,28)c(32,32,20)*t(32,40,28)t(24,40,28)**
c(32,24,20)s(24,24,20)s(48,24,12)+*s(32,40,28)*
t(40,24,12)t(48,56,12)+t(16,16,12)+s(32,32,12)-
t(32,40,20)c(40,24,20)t(32,16,12)-+t(32,32,28)*
t(24,40,28)s(32,24,28)c(32,40,12)c(32,24,12)+*-
s(48,48,20)s(32,16,20)s(32,16,12)s(24,16,12)+-+
s(40,16,20)t(32,32,28)s(24,24,28)*+s(48,24,20)-
s(32,32,28)s(40,40,20)*s(8,40,12)+s(8,32,12)-
c(32,32,20)c(40,40,20)*s(8,24,12)c(32,24,20)+*
c(16,48,12)c(32,16,12)+c(32,32,20)-c(16,24,12)+
t(24,40,20)t(24,48,20)+s(24,48,12)t(40,24,20)++
t(24,24,20)s(40,16,20)+s(40,16,12)-c(24,24,20)*
s(32,48,20)s(40,40,28)s(40,24,20)-s(32,40,20)*-
s(16,32,20)s(40,32,20)s(16,24,12)+t(24,32,28)-+
s(8,32,12)s(32,24,28)+s(16,24,20)c(32,48,12)+*
s(24,32,28)t(32,48,28)*c(24,32,20)s(40,24,20)+*
s(24,16,20)s(32,32,20)s(48,40,12)+s(32,24,20)*-
s(32,8,12)s(32,40,20)+s(32,48,12)-s(40,32,12)-
s(32,40,28)s(16,32,20)-s(24,40,28)c(24,48,12)-*
c(32,32,28)s(32,48,20)*s(40,24,20)c(24,24,12)--
s(16,48,20)t(24,48,20)*t(16,32,12)+s(24,16,20)-
s(32,16,20)c(32,24,20)s(32,48,20)-s(40,32,20)--
s(24,40,28)c(40,32,20)*t(32,32,28)s(16,32,20)*+
t(24,40,28)t(24,32,28)*c(24,24,20)*t(32,40,20)+
c(16,24,12)s(24,40,20)+s(48,24,20)+s(24,32,28)*
s(24,48,20)s(48,32,20)s(24,32,28)-s(24,32,28)+*
t(32,40,20)c(24,32,20)s(40,32,28)**s(40,24,20)+
s(40,40,20)c(40,24,20)s(32,40,28)s(32,32,28)***
t(40,24,12)c(16,24,12)+t(24,48,20)+s(40,40,28)-
s(40,24,20)t(40,40,20)t(24,40,28)s(16,48,20)-+-
c(32,40,20)c(24,40,20)*c(24,32,20)t(32,40,28)**
s(32,24,20)s(40,48,20)-s(40,32,28)*s(24,48,20)+
s(24,40,20)c(40,40,20)t(32,56,12)c(48,40,12)+*+
s(48,48,12)s(16,24,20)+s(32,32,28)*s(24,32,20)*
s(32,40,28)c(40,32,20)*s(32,32,20)s(48,24,20)--
s(40,32,28)c(32,32,20)s(40,24,20)+c(16,40,12)-*
t(24,32,28)c(48,40,12)s(24,16,20)+*s(40,40,20)+
s(16,16,20)t(32,48,28)t(24,40,28)+s(48,48,20)--
s(32,16,12)c(24,24,20)c(24,40,20)s(32,40,20)**+
t(24,48,28)t(32,48,12)-c(32,48,12)-t(32,32,28)+
s(32,40,28)s(40,32,20)t(32,48,12)+c(40,40,12)-*
s(40,40,20)s(16,40,20)s(16,16,20)++t(32,40,28)-
s(40,24,28)t(24,32,28)-t(32,32,28)+t(32,32,28)-
c(48,24,12)t(24,48,12)s(32,24,20)s(32,8,12)-++
s(48,48,12)t(40,32,20)+s(40,48,12)t(32,48,20)+-
s(24,24,28)s(24,40,12)-s(24,24,20)*c(32,40,20)-
s(48,32,20)c(40,40,20)t(48,56,12)-+t(32,40,28)*
t(24,48,28)t(40,24,12)+c(32,24,20)c(16,48,12)+-
c(40,24,20)s(32,32,28)s(48,32,12)c(24,24,20)+**
t(40,24,20)s(48,40,20)s(40,32,28)c(32,32,20)**+
s(24,40,28)s(24,32,28)*t(48,16,12)+s(40,40,20)*
t(24,32,20)s(40,24,28)t(40,48,12)+t(40,32,12)-+
c(32,32,12)c(24,16,12)+c(48,32,12)-s(32,40,20)-
t(40,32,20)s(24,24,28)s(40,24,20)*s(32,48,20)+*
s(24,16,12)c(16,24,12)+t(24,24,20)s(24,16,12)+*
t(40,24,20)s(48,32,20)c(24,24,20)t(32,24,12)-+*
t(24,32,28)c(24,32,20)t(24,48,12)-c(40,32,20)**
t(40,32,20)t(48,40,12)c(16,40,12)+t(32,48,28)--
c(40,24,20)c(24,16,12)-s(32,24,12)-t(24,40,20)-
t(24,32,12)t(24,40,28)s(16,48,20)c(40,32,20)-*+
s(32,32,20)c(40,40,20)s(40,48,20)*+t(40,32,20)-
s(24,24,20)s(32,32,20)*t(24,40,28)+c(24,24,20)-
t(32,32,28)t(24,40,28)-s(8,48,12)+s(32,32,20)+
c(24,40,20)s(48,32,12)s(16,16,20)+s(32,48,12)+*
s(48,24,20)s(40,32,28)s(24,48,20)s(40,48,20)*-*
s(48,48,20)t(32,32,12)+s(48,32,20)-t(48,16,12)+
t(32,48,28)c(24,40,20)s(16,16,12)+*s(32,32,28)+
t(24,40,20)t(48,40,12)+t(32,48,28)s(32,24,28)-+
c(32,32,20)t(48,16,12)c(32,40,20)+c(32,40,12)-*
c(24,32,20)s(24,32,28)s(24,40,28)t(32,32,28)*-*
t(32,40,28)s(16,40,20)+s(40,40,20)-t(24,40,28)*
s(24,40,20)s(40,24,20)s(32,32,20)s(16,40,20)+*-
c(40,24,20)c(32,40,12)t(24,24,20)+c(24,24,20)*+
s(32,40,20)s(16,48,20)s(24,24,28)+s(32,24,20)--
c(32,24,20)s(40,16,20)t(32,40,28)s(48,16,12)++*
t(16,56,12)t(24,32,28)+c(24,40,20)c(40,40,12)-*
s(16,48,20)s(40,40,28)c(24,24,20)*-t(32,32,28)-
s(24,24,20)s(40,48,20)+t(32,24,20)-s(16,48,20)-
t(24,40,28)s(24,48,20)*s(16,48,12)t(48,40,12)++
s(16,40,20)s(16,16,20)s(24,24,20)c(40,16,12)+-+
s(24,8,12)s(16,24,12)c(40,32,20)s(16,40,20)-++
c(32,24,20)t(32,48,28)-t(32,32,28)s(40,24,28)*+
t(32,32,28)s(40,40,28)t(24,32,28)*-s(16,32,12)-
s(16,24,12)s(32,40,20)s(16,40,20)-+s(24,32,20)*
s(16,32,20)t(40,24,12)+t(40,24,20)-s(24,48,20)-
s(40,48,20)c(32,48,12)s(40,32,28)t(24,32,28)*+*
t(24,40,28)s(48,32,20)-t(24,32,12)-s(16,40,12)+
s(40,24,28)c(32,16,12)t(48,40,12)+t(24,24,12)--
s(48,32,20)s(40,24,20)s(32,16,20)*-c(40,32,12)-
s(40,32,20)c(48,40,12)+s(24,40,12)-s(32,24,20)*
c(24,16,12)t(40,24,20)+s(24,8,12)-s(32,40,28)+
s(24,48,20)t(32,40,20)s(40,32,28)t(24,32,28)---
c(40,24,20)t(32,24,20)t(24,40,12)s(24,8,12)+--
s(32,40,20)s(40,32,28)*t(32,48,28)t(24,32,28)--
c(32,48,12)s(40,24,28)c(40,32,20)t(24,40,20)+*+
c(40,32,12)t(32,32,20)+c(24,32,20)s(24,40,28)**
c(32,24,20)c(32,32,20)*t(24,32,12)-c(24,24,20)*
s(24,32,28)c(16,40,12)t(24,48,20)++s(32,32,28)+
s(40,16,20)c(40,24,20)s(24,32,20)+*s(48,24,20)*
s(40,32,28)s(40,24,12)s(24,32,20)+t(24,56,12)+*
c(24,32,20)s(32,32,28)t(32,40,20)-c(32,40,20)--
s(32,16,12)t(24,32,28)+s(32,40,28)*s(16,40,20)*
s(24,48,12)t(32,32,20)c(48,32,12)-c(48,48,12)++
s(24,32,28)s(40,16,12)-s(24,24,12)c(32,16,12)+-
t(48,56,12)s(32,32,12)+t(40,48,20)+s(40,32,28)*
t(24,24,20)s(48,48,20)+s(24,24,28)c(24,32,12)--
s(24,32,28)s(40,48,20)-t(32,32,20)s(24,40,28)*-
c(24,24,12)s(48,16,20)+s(24,32,20)t(24,32,28)*-
c(32,24,20)t(24,40,20)-s(40,16,20)c(40,40,20)+*
s(16,40,20)s(40,32,28)s(40,40,28)*+c(32,32,20)*
s(48,40,20)s(16,16,20)t(40,24,12)+s(48,24,20)+*
t(32,40,28)s(24,32,28)+s(32,32,28)*s(40,48,20)*
t(32,32,28)c(32,24,20)s(40,8,12)-*c(16,48,12)+
s(24,24,12)t(40,24,20)t(24,24,20)s(24,16,20)*-+
c(24,16,12)c(32,40,20)t(24,40,28)*t(32,48,28)*+
s(16,40,20)s(24,32,20)s(16,48,20)--c(40,40,20)-
s(40,32,28)s(32,48,20)-s(48,40,20)*s(40,32,12)+
t(32,24,20)t(24,24,12)-s(48,24,20)+s(24,24,28)*
t(24,32,28)s(24,24,28)*c(32,32,20)s(40,40,12)-*
t(32,40,28)c(40,32,12)-t(16,48,12)-s(16,40,20)+
s(32,8,12)c(48,32,12)+s(40,32,28)s(40,24,28)**
c(40,32,12)c(24,48,12)s(24,16,12)+t(24,48,28)*+
s(32,40,28)c(16,16,12)t(32,40,28)t(24,48,12)-+*
c(40,32,20)s(40,32,20)t(32,32,28)*s(16,24,20)--
s(40,24,20)s(16,16,20)s(48,40,12)+s(24,16,20)*-
s(16,40,12)t(40,48,12)+s(32,48,12)+s(16,24,20)-
c(24,24,20)t(24,24,12)-t(32,48,20)+t(40,40,20)-
c(32,40,20)t(24,48,28)*t(16,32,12)-t(32,48,20)*
s(16,40,12)s(24,24,28)s(8,32,12)-+s(40,24,20)*
s(24,24,28)s(40,24,12)-c(24,24,20)*t(32,32,28)*
s(8,32,12)t(32,24,12)+t(24,32,28)+t(40,48,12)+
s(32,24,28)s(24,16,12)-s(32,48,20)t(32,24,12)+*
t(24,40,12)c(40,40,20)c(32,40,12)-t(40,32,12)-+
s(48,40,12)s(24,24,20)s(24,40,20)*+t(40,24,20)-
s(40,40,28)s(32,32,28)s(48,8,12)c(16,16,12)+-*
s(16,16,20)c(40,32,20)s(24,32,28)*t(24,24,20)+-
s(40,32,20)t(24,40,28)c(32,32,20)*t(16,32,12)++
s(32,32,20)s(32,40,20)*t(24,48,28)s(16,48,20)*+
c(24,40,20)c(24,40,20)t(24,48,28)-s(24,8,12)+*
c(32,32,20)s(32,40,28)c(32,32,28)c(24,32,12)-**
c(32,24,20)s(16,32,12)-c(40,24,20)*s(40,8,12)-
t(32,32,20)s(40,32,20)s(16,16,20)s(32,24,20)-+*
t(32,56,12)s(16,24,20)+t(24,40,20)-s(24,32,28)*
c(24,40,20)s(16,40,20)t(16,40,12)--s(16,48,20)-
c(40,40,12)c(24,32,20)+s(16,16,12)-t(24,48,28)*
s(16,48,20)s(16,24,12)t(40,40,20)++s(40,24,28)-
s(32,24,12)t(40,48,20)t(16,40,12)++s(48,48,20)*
c(40,24,20)t(32,40,20)c(48,40,12)s(24,24,20)++*
t(40,24,20)c(32,32,28)s(32,40,28)-s(48,32,20)--
s(40,16,12)c(32,32,12)+s(24,32,20)+c(24,40,20)-
t(24,32,28)s(16,40,12)-s(24,40,28)s(24,48,12)-+
s(8,40,12)s(40,40,20)s(24,40,20)+s(40,40,28)*+
c(40,16,12)t(24,40,28)c(32,32,20)*+s(24,40,28)+
s(40,40,28)s(24,32,20)c(32,40,20)c(24,40,20)***
s(24,48,20)s(32,48,20)t(24,40,28)*s(24,32,12)+*
s(40,48,20)s(40,32,28)s(32,8,12)+s(48,40,12)-+
s(32,48,20)s(40,32,20)-t(32,40,12)+t(32,40,28)*
s(40,32,12)c(32,32,20)t(40,32,12)-s(24,24,28)*+
t(32,40,28)s(24,24,28)t(40,24,20)-t(32,32,28)*+
t(32,40,28)c(16,40,12)-c(40,16,12)s(16,32,20)+-
t(24,40,28)s(24,32,28)t(32,32,28)*t(24,32,20)*-
c(40,16,12)s(8,24,12)+c(40,40,20)s(40,16,20)+*
s(24,16,20)s(8,24,12)-s(48,48,12)+t(32,40,28)*
c(48,40,12)c(32,48,12)+c(32,40,20)s(40,32,20)+*
t(24,32,28)t(48,16,12)+s(48,32,20)-s(40,32,28)+
s(32,24,28)s(24,16,20)c(40,40,20)s(40,32,20)*-*
s(40,32,28)t(24,40,20)-t(40,48,20)-s(40,24,20)+
t(32,48,28)c(32,32,28)t(40,32,20)-*t(32,32,20)-
c(48,24,12)t(24,24,20)t(24,32,12)-+t(32,32,12)+
s(40,16,20)t(32,24,12)-c(32,24,20)*s(32,48,20)+
s(32,48,20)c(32,32,20)c(32,16,12)-*t(24,32,20)+
c(24,32,20)s(32,32,28)*s(40,32,20)c(40,16,12)-+
s(24,32,20)s(16,24,20)c(24,32,20)*-c(40,32,12)+
s(8,24,12)t(24,48,28)t(24,40,28)*s(16,40,12)-+
c(24,32,20)s(24,40,28)*c(48,24,12)+t(24,40,28)*
s(16,48,20)c(32,32,20)t(16,56,12)+s(32,40,20)*-
t(32,40,28)s(16,40,20)s(48,48,20)+c(40,32,20)**
c(32,32,28)s(24,40,28)s(32,24,12)-*t(32,40,28)+
s(24,32,28)c(16,24,12)-s(32,32,28)t(16,24,12)-*
s(16,32,20)s(40,24,28)s(48,40,20)*+s(24,40,20)-
s(24,40,28)s(32,8,12)t(32,24,20)+t(16,16,12)+*
t(24,32,28)c(48,24,12)+s(40,40,28)c(32,48,12)-*
s(48,24,20)t(32,48,28)c(48,16,12)+t(16,56,12)-*
s(32,24,28)t(24,40,28)c(24,40,20)*-t(24,48,28)+
s(32,40,28)s(40,24,20)s(24,40,28)+s(40,16,20)*-
s(48,48,20)s(40,32,12)-s(24,40,28)s(40,32,28)*-
t(48,48,12)s(16,24,20)+s(32,32,28)s(40,32,28)*+
t(24,48,20)s(24,24,20)s(32,40,12)++s(40,32,20)-
s(40,24,20)s(16,32,12)s(32,24,20)s(48,32,12)++*
s(16,24,20)t(24,32,12)-t(32,48,28)+s(24,40,28)*
c(24,40,20)s(32,40,20)s(24,24,28)s(8,24,12)-*-
c(40,40,20)c(32,32,20)t(40,48,20)s(24,32,28)+**
c(24,32,20)t(24,40,20)-s(32,32,12)s(24,16,12)++
c(24,32,20)c(32,32,28)c(32,24,20)-*t(24,48,20)+
c(16,24,12)t(32,48,28)s(24,40,20)s(16,40,20)+*+
s(8,32,12)s(32,32,28)s(16,32,20)*+s(40,24,20)-
s(24,32,28)t(16,16,12)-c(24,32,20)*s(32,48,12)-
s(40,48,20)t(24,40,28)+c(24,40,12)t(32,24,20)+*
c(40,32,12)t(16,32,12)+s(24,24,28)t(24,48,12)+*
s(32,24,20)s(16,48,12)+c(32,32,20)*t(32,32,20)*
s(16,24,20)s(24,24,28)c(40,16,12)-*s(16,24,12)-
s(32,16,12)c(32,40,12)+s(24,24,20)+s(24,16,20)*
c(48,48,12)s(24,16,12)c(48,40,12)++c(24,24,12)-
t(32,48,28)c(32,40,20)s(40,24,28)*+t(32,32,12)-
t(48,40,12)c(24,24,20)t(32,48,12)++s(16,16,20)+
t(32,40,12)t(48,40,12)+c(24,40,20)+t(32,32,20)*
s(24,40,20)c(40,32,12)+t(32,24,12)-t(24,48,20)*
s(40,16,20)s(24,32,20)c(24,48,12)-+c(24,40,20)*
s(32,40,20)t(24,48,28)s(8,32,12)+*c(24,32,20)*
s(32,32,28)t(16,16,12)t(24,32,20)c(40,40,12)-+*
t(32,32,28)s(16,8,12)+c(16,40,12)-s(16,16,20)*
t(32,40,28)s(32,24,20)s(24,16,12)-+t(40,24,20)*
s(40,40,28)c(24,40,20)s(32,24,20)s(16,48,12)+**
s(48,40,12)s(32,32,20)+s(16,40,20)-s(32,48,20)-
s(40,24,20)c(40,32,20)s(40,40,28)*c(32,24,20)**
s(40,32,20)s(32,24,20)+s(32,40,28)*s(48,32,20)*
c(24,32,20)t(32,40,20)-c(32,16,12)t(24,48,12)+-
s(48,40,20)t(32,32,20)s(40,32,28)s(40,32,20)-+*
s(32,24,20)c(40,24,20)s(48,40,20)+*c(32,40,20)*
s(24,32,28)t(32,48,20)s(48,32,20)-+c(24,24,20)*
t(32,48,28)t(24,48,28)s(32,24,20)c(24,32,20)+--
t(32,48,28)s(32,40,28)t(24,32,12)-s(48,16,20)-*
c(24,40,20)s(24,32,28)c(24,16,12)-*s(8,48,12)-
c(32,24,20)s(32,40,12)c(32,24,12)+s(40,32,20)*-
t(24,40,28)c(40,40,12)t(24,32,28)t(32,40,20)*+*
s(48,48,12)t(16,40,12)+c(40,40,12)+c(16,40,12)-
s(48,48,12)t(40,24,20)s(16,16,20)+s(24,40,20)++
s(16,24,20)s(24,16,20)+s(24,16,12)t(24,56,12)+-
t(24,40,12)s(40,32,20)+c(40,40,20)*s(24,32,28)*
t(24,32,28)t(24,16,12)c(40,32,20)+s(40,32,12)-*
c(40,24,20)c(40,24,12)s(16,16,20)+s(16,32,20)*-
c(32,24,12)s(16,40,12)+t(24,40,20)+s(48,40,20)-
s(32,24,20)s(24,32,28)s(16,8,12)+s(24,8,12)-*
c(24,32,20)s(24,48,20)c(24,48,12)--c(16,24,12)-
t(40,40,20)s(40,16,20)s(24,8,12)t(24,56,12)++-
c(40,32,12)t(24,56,12)+s(24,48,12)s(24,40,12)++
c(40,24,20)s(48,8,12)t(40,32,12)t(24,40,20)++*
t(40,32,20)t(32,48,28)s(48,48,20)*s(40,40,20)++
c(32,32,28)t(24,48,20)*c(40,32,20)+s(32,32,28)*
c(32,24,20)s(40,48,20)+s(32,48,20)*c(48,48,12)-
t(40,24,20)s(32,48,20)+t(32,40,28)t(40,48,12)-*
s(40,32,28)s(16,40,20)c(16,24,12)--t(24,32,28)-
c(32,32,20)s(32,24,28)*s(40,40,28)s(32,48,20)--
s(40,48,20)t(24,40,28)s(16,24,12)++t(16,40,12)-
s(24,24,20)t(40,48,12)+s(16,8,12)-s(16,48,12)+
c(40,40,20)s(32,40,28)*s(24,40,28)*s(8,40,12)+
c(40,24,20)c(40,32,20)c(48,16,12)-*s(40,48,12)-
s(40,32,20)t(24,16,12)+t(32,32,28)*s(32,40,20)*
s(40,24,20)s(32,8,12)c(24,40,12)s(24,8,12)++-
s(24,32,20)t(32,16,12)-t(48,48,12)+s(32,32,28)*
s(16,40,20)c(32,32,20)s(24,40,12)-c(24,24,20)*-
c(48,48,12)t(32,40,28)+t(24,40,28)*t(24,32,28)+
c(24,40,20)s(48,24,12)t(24,56,12)+t(16,16,12)++
s(48,48,20)t(48,24,12)+c(48,48,12)s(16,16,20)+-
s(32,32,20)s(48,32,12)-t(32,40,28)c(24,32,20)**
s(48,32,20)s(40,24,28)t(24,32,28)-c(40,24,20)**
c(24,32,20)t(32,48,20)-s(32,32,28)c(32,24,12)-*
t(32,56,12)t(24,40,28)+c(32,40,12)-s(40,40,12)+
s(32,32,20)s(32,16,20)+s(40,32,28)t(24,32,20)+*
c(32,16,12)t(40,40,20)c(48,32,12)++s(40,16,12)-
c(40,24,20)t(32,32,20)t(32,48,28)c(40,32,20)*+-
s(16,40,20)s(32,24,28)t(24,48,20)+s(40,32,12)-*
c(40,32,20)s(24,32,28)*c(16,24,12)-t(24,40,12)-
s(16,48,20)s(40,24,28)t(24,32,28)*-c(40,16,12)+
s(32,40,28)t(24,32,28)+t(24,24,12)-s(16,32,20)*
c(48,24,12)c(40,24,12)+s(40,16,20)s(48,48,20)+*
s(32,48,12)s(48,24,20)t(40,48,20)+c(24,32,20)-+
s(32,40,28)s(48,40,20)s(32,48,20)s(24,24,20)-+-
s(32,24,28)s(24,32,20)s(16,32,12)s(40,8,12)+--
c(32,24,20)s(40,8,12)-s(24,40,20)-s(48,16,12)-
s(40,32,28)s(40,24,28)c(40,40,20)t(32,40,12)-*-
s(32,40,20)s(24,24,20)t(24,40,28)+*s(16,24,20)-
c(40,32,20)c(40,16,12)s(40,48,20)+s(32,24,28)**
c(40,32,20)s(32,32,28)t(24,32,28)s(24,32,20)*-*
s(24,16,20)c(24,40,20)s(24,32,28)*-t(16,16,12)-
s(24,32,28)s(24,32,28)s(32,32,20)t(16,40,12)-*-
t(32,48,28)t(24,40,12)-t(24,40,20)t(24,24,12)-+
s(32,40,20)t(24,40,28)c(24,24,12)s(32,48,12)+*-
t(24,48,20)s(40,16,12)s(24,48,12)s(24,24,20)+++
s(48,16,20)c(24,32,20)-c(40,24,12)+t(40,24,20)*
c(40,24,20)c(40,40,20)+s(24,32,28)c(24,24,12)-*
s(32,32,28)s(32,48,20)*t(40,32,20)+s(40,16,12)+
t(32,40,20)t(48,32,12)+s(32,48,20)c(32,40,20)**
c(40,24,20)c(24,32,20)s(8,32,12)t(32,48,12)++*
c(32,32,12)s(32,32,20)s(32,48,20)*+t(24,40,28)+
s(32,24,20)s(40,32,12)-s(24,16,20)s(32,48,12)+*
s(40,24,28)t(40,32,12)-c(40,40,20)*s(24,48,12)-
t(32,40,12)c(40,24,20)c(24,32,12)-s(48,32,20)*+
t(24,24,12)t(32,32,28)s(32,40,12)-s(32,40,20)-+
c(40,32,20)c(32,24,20)s(32,24,28)t(24,32,28)**-
s(24,48,20)s(40,40,12)-s(32,8,12)t(16,24,12)++
c(32,40,20)t(48,24,12)+s(16,32,20)+s(24,48,12)-
s(40,40,20)s(48,32,12)t(32,40,12)t(40,56,12)++*
s(8,48,12)s(32,32,20)t(32,40,28)*t(24,24,20)-+
t(32,48,20)t(32,24,20)s(32,32,20)+t(24,40,20)--
s(32,40,20)c(40,24,20)c(32,40,20)*s(24,24,20)+*
s(48,24,12)t(16,16,12)s(40,48,12)t(48,40,12)+++
s(40,16,20)t(32,32,12)s(16,24,12)++s(32,32,20)-
s(24,32,28)s(40,16,20)c(48,24,12)-c(32,32,20)+*
c(24,40,20)s(32,24,28)c(32,48,12)+*t(40,32,12)-
s(40,40,28)s(32,32,28)s(24,32,12)-t(40,40,12)-*
s(48,24,20)s(32,16,20)t(32,32,20)c(24,16,12)-++
s(16,40,20)t(24,24,20)-c(24,40,20)*s(24,40,20)*
t(24,48,28)s(16,48,20)*s(48,48,12)s(16,32,20)++
t(40,56,12)c(40,24,20)t(40,40,20)-+t(24,32,28)-
c(32,32,12)s(24,48,20)+t(24,40,28)t(32,48,28)--
c(32,24,12)s(32,48,20)c(24,24,12)+s(32,40,20)*+
s(40,24,20)c(24,40,20)c(40,32,12)-+t(24,32,28)*
s(24,24,20)s(16,32,20)s(40,40,28)+*s(32,40,28)*
s(8,16,12)s(24,40,28)t(24,32,20)t(32,40,12)--+
s(32,32,20)c(16,16,12)t(32,48,28)+*c(40,40,20)*
c(32,32,28)s(16,40,20)s(16,32,20)*-s(40,24,20)*
t(32,24,20)s(40,24,28)s(32,40,28)*s(16,24,20)-+
c(32,32,28)s(40,24,20)t(32,16,12)--t(32,32,28)-
s(16,32,12)s(40,8,12)+t(40,24,20)+c(32,24,20)*
c(16,32,12)s(48,24,20)+s(24,32,20)*s(32,40,12)-
c(32,16,12)c(40,32,12)+s(16,40,12)+s(24,40,20)-
s(32,16,20)s(24,24,28)c(40,24,20)+*c(40,24,20)*
t(48,16,12)t(24,32,28)+t(32,32,12)-c(40,24,20)*
s(40,16,12)t(40,40,20)+s(24,32,20)-c(48,32,12)+
s(48,32,20)t(32,32,28)*t(48,24,12)s(32,16,20)++
s(40,40,28)c(24,40,20)*s(40,40,20)t(40,24,20)--
c(32,24,20)s(24,40,28)*t(24,32,28)c(24,32,12)--
c(24,40,20)s(24,24,20)s(24,40,20)*-s(32,40,28)*
s(24,24,28)c(16,48,12)t(40,16,12)++t(24,24,12)-
c(40,32,20)c(40,48,12)t(32,32,28)++s(32,48,20)+
t(40,40,20)t(32,40,28)c(40,24,20)s(40,40,20)--*
c(32,32,28)t(40,40,20)-c(32,16,12)c(40,24,12)+*
s(32,32,20)c(48,40,12)-c(32,32,20)c(40,16,12)-*
c(32,24,20)s(40,8,12)s(24,32,28)s(32,40,20)*+*
t(32,32,20)s(40,24,28)s(24,32,28)**s(48,24,12)+
c(32,40,20)c(40,40,12)s(32,48,20)+*s(40,24,28)+
s(40,32,28)s(32,32,20)s(24,24,28)+*s(24,40,28)*
s(32,24,28)s(40,40,28)c(40,32,20)*t(32,40,28)**
s(16,32,20)c(24,32,20)s(32,40,28)t(32,40,28)-+*
t(16,16,12)t(32,32,28)+c(40,24,12)t(16,32,12)+-
c(40,32,12)s(16,32,20)+t(48,16,12)t(32,24,20)+*
s(16,24,12)s(48,48,12)+s(32,32,20)+s(40,40,20)*
s(16,16,20)t(32,32,28)s(24,40,28)*s(48,24,20)--
c(48,48,12)s(32,48,20)+c(32,32,12)s(40,48,12)+*
s(48,48,20)s(48,32,20)*t(40,48,20)t(16,24,12)++
t(32,40,28)s(24,24,28)s(48,16,20)s(24,8,12)+-+
c(40,40,20)c(32,40,20)*s(32,40,20)c(24,24,12)-*
c(32,32,28)s(32,48,20)*s(48,48,20)s(32,32,28)--
c(16,16,12)s(8,40,12)c(32,48,12)+c(32,24,20)++
t(40,48,12)s(24,24,28)+t(24,16,12)c(40,24,12)+*
t(32,56,12)c(40,24,20)s(48,32,12)-+c(32,24,20)-
c(32,24,12)t(32,40,20)c(32,24,12)t(40,24,12)+-+
c(32,24,20)s(24,32,20)c(24,32,20)s(40,40,20)*+*
s(40,40,28)c(24,32,20)-s(8,48,12)s(8,16,12)++
t(32,40,28)s(32,32,20)t(24,16,12)+t(32,48,20)+*
s(24,40,28)c(32,32,28)s(24,24,28)**c(40,40,20)*
s(16,40,12)t(32,32,20)s(32,40,28)s(48,16,20)-*+
c(40,48,12)s(32,24,28)+s(24,16,20)*s(24,32,28)*
c(40,24,12)s(16,32,20)s(24,40,28)*t(24,32,12)-+
s(32,40,20)t(24,32,28)s(40,24,28)-+t(40,40,20)*
t(32,40,20)c(24,16,12)+s(32,32,28)c(32,48,12)-+
t(40,40,20)s(48,48,20)s(32,32,12)+t(48,24,12)+*
s(32,32,20)s(8,48,12)+t(32,48,28)*c(32,16,12)+
s(24,40,28)s(16,32,20)*t(32,40,20)s(16,40,12)++
s(32,32,20)s(32,16,12)+c(32,24,20)c(48,24,12)-*
c(24,40,20)t(32,16,12)+t(40,48,12)s(24,48,20)+*
s(32,24,28)s(48,16,20)c(32,24,20)+*t(24,48,28)-
c(24,40,20)c(24,24,12)t(16,16,12)+-t(16,48,12)-
t(16,48,12)s(16,32,12)s(32,24,20)+s(24,32,12)-+
c(16,16,12)t(32,48,28)c(48,24,12)+t(40,32,20)*+
t(24,40,20)t(24,32,28)*t(48,56,12)+c(32,32,12)+
s(24,40,28)c(24,40,20)s(16,40,20)*-s(40,32,20)+
c(40,24,20)c(24,48,12)+c(24,32,20)t(40,32,12)-*
t(32,24,20)s(32,40,12)+s(32,16,20)s(24,24,20)+*
t(16,40,12)s(40,40,12)t(24,32,12)++s(32,16,20)-
s(24,32,20)t(40,32,12)s(24,32,12)+s(48,16,20)+*
c(32,24,20)c(40,32,12)-c(16,40,12)-s(24,40,20)-
s(40,40,20)s(24,48,20)c(32,32,28)*t(32,32,12)+*
c(32,24,20)s(24,32,28)t(40,32,20)s(40,8,12)+*-
c(24,32,20)c(24,24,20)*s(16,24,12)-s(24,24,12)-
s(24,24,20)t(16,32,12)c(48,24,12)+-c(40,24,20)*
c(40,24,20)t(48,16,12)-s(40,32,28)c(48,32,12)-*
s(16,24,20)s(48,16,20)c(40,32,20)*+c(24,24,12)-
c(32,24,20)t(16,40,12)t(24,24,20)+*c(32,32,20)*
s(40,24,12)s(40,24,12)c(32,40,20)+c(40,40,20)*+
s(8,16,12)s(24,24,20)+t(24,48,28)t(16,48,12)-+
c(40,32,20)c(40,40,20)t(24,48,28)-s(24,40,20)--
c(16,40,12)s(40,40,12)+s(48,40,20)+t(40,48,12)-
t(40,24,20)c(24,32,12)t(32,48,12)+s(32,32,20)*+
s(40,40,20)s(48,48,12)-c(32,32,20)t(32,24,12)-*
t(32,40,28)s(8,32,12)+s(48,16,20)s(32,24,28)*+
s(40,32,28)c(32,24,20)*s(32,24,20)s(40,16,20)*-
t(40,24,12)c(48,48,12)s(40,40,20)++t(40,24,12)-
s(32,40,20)c(24,40,12)-s(32,48,20)s(32,32,20)*+
s(32,32,28)c(40,40,20)s(32,40,12)-s(40,32,28)**
c(24,24,20)t(32,32,28)c(48,40,12)s(32,24,20)+++
t(32,40,28)c(32,40,12)s(48,24,12)+*t(40,32,20)+
s(48,40,20)t(32,56,12)s(24,16,20)+s(24,32,28)*+
s(40,32,28)t(24,40,28)c(24,40,20)+s(32,24,20)**
t(32,48,28)c(32,16,12)+s(32,40,20)t(16,40,12)-*
t(32,40,20)s(40,32,28)s(24,40,28)*s(40,40,20)**
s(16,40,20)s(48,32,20)s(32,48,20)-t(24,32,28)+*
s(32,32,20)t(40,40,20)+c(32,40,12)t(40,16,12)+-
c(16,40,12)c(40,24,20)t(16,40,12)+t(32,24,20)-+
t(24,48,28)t(24,24,20)-s(32,40,28)*c(40,40,12)-
s(32,40,20)s(48,40,20)s(48,48,20)*s(48,32,20)*-
s(16,8,12)s(32,40,20)+c(48,40,12)+s(24,32,28)*
t(32,40,28)c(24,40,20)*c(40,24,20)c(48,16,12)--
c(40,32,20)s(16,8,12)c(32,32,20)s(24,40,20)++*
s(32,8,12)s(40,48,20)+s(32,40,20)s(16,48,12)+*
c(24,32,20)s(40,24,12)-s(48,32,20)c(24,24,20)+*
t(40,40,20)s(24,24,20)c(40,24,20)-+c(32,40,12)-
s(40,40,28)t(24,48,20)c(24,40,12)+c(16,16,12)+-
s(16,40,20)s(24,40,20)t(24,24,12)s(48,48,20)+-*
t(32,48,28)s(32,48,20)s(40,40,28)t(24,48,28)---
s(24,32,20)t(32,40,28)c(32,16,12)t(32,32,20)+*-
t(24,32,28)c(24,24,20)s(32,16,20)s(40,32,28)*-*
c(24,16,12)t(32,32,28)s(16,16,12)+c(40,24,20)*+
c(16,24,12)s(32,40,20)+c(16,24,12)t(16,40,12)+*
c(40,32,12)s(8,40,12)+t(24,48,28)s(40,48,20)*+
s(32,32,28)t(32,48,20)+s(16,32,20)s(16,40,20)**
c(40,24,20)s(40,32,20)s(40,32,28)s(40,16,12)-**
c(16,16,12)c(32,16,12)+c(24,16,12)t(24,24,20)+*
c(40,32,12)t(32,40,20)+c(24,40,20)c(32,32,12)--
s(16,24,20)s(24,16,20)s(24,32,20)*-t(24,48,12)+
s(32,32,20)c(40,24,12)s(24,32,12)s(48,8,12)++*
s(16,32,12)t(24,48,28)+s(24,32,28)*c(32,48,12)-
s(24,16,12)c(16,40,12)+t(16,40,12)-s(16,40,20)+
s(48,32,20)c(24,32,20)s(48,40,12)+s(40,24,28)**
c(24,32,20)s(40,24,20)+t(32,32,20)s(16,16,20)--
s(16,16,20)t(32,24,20)+s(24,32,28)*s(48,16,20)+
s(40,24,28)s(24,16,20)t(32,40,12)+c(24,40,20)+*
s(32,40,12)s(24,8,12)+s(48,24,20)-c(32,32,20)+
t(32,32,20)s(16,40,20)+t(24,40,28)s(24,48,20)*-
c(24,24,20)s(48,32,20)-s(48,16,12)+s(32,16,20)*
c(40,40,20)s(48,48,20)*s(48,48,12)c(24,40,20)+*
t(32,40,28)s(40,40,12)-s(8,16,12)s(32,40,28)+*
s(16,40,20)t(24,48,20)-s(48,48,20)c(40,40,12)++
t(24,24,12)s(16,40,20)+c(32,24,20)s(8,32,12)+*
c(32,40,12)s(40,24,20)+s(32,40,20)*t(24,40,28)*
s(32,32,20)s(24,24,20)c(32,24,20)c(48,24,12)-**
s(48,48,20)c(32,40,20)c(16,16,12)+c(16,48,12)+-
s(40,40,20)s(24,32,20)s(40,24,12)-s(48,40,12)+*
c(40,40,12)s(16,48,12)+s(32,24,12)t(40,24,12)++
c(32,32,20)t(24,32,28)*c(24,32,20)s(24,16,20)*-
s(32,32,20)s(40,40,28)*s(40,40,20)*s(24,40,12)+
t(32,32,28)s(48,48,12)-t(32,40,28)*c(24,40,20)*
c(40,32,12)s(24,48,20)+s(48,24,20)+c(32,24,20)-
c(40,24,20)c(24,48,12)s(16,16,20)+s(40,32,28)*-
c(40,24,20)s(32,16,20)*c(24,24,12)+c(16,32,12)-
c(40,24,20)s(16,32,20)s(24,24,20)c(24,40,12)++*
c(32,40,20)t(16,32,12)s(48,32,20)s(40,48,12)++*
s(16,40,20)s(24,40,20)s(32,48,20)+*c(24,16,12)+
s(24,48,20)s(24,40,20)*s(24,40,20)s(24,32,20)**
c(24,32,20)s(8,24,12)-s(32,40,28)*s(24,48,12)-
c(24,32,20)s(48,32,20)s(40,24,12)--c(40,32,20)*
t(32,48,20)s(32,48,20)s(40,40,28)**c(24,40,20)*
t(40,24,20)t(32,40,20)+c(24,40,20)t(32,48,28)*-
s(32,40,28)c(32,40,12)-s(40,32,28)*c(16,40,12)+
t(32,32,28)s(32,24,12)-s(40,32,28)*s(40,24,28)*
s(24,32,28)c(48,24,12)+t(32,40,28)t(24,32,20)-*
t(24,48,28)s(32,32,20)t(32,24,12)-s(24,32,20)*-
s(48,32,20)s(24,48,20)c(40,32,20)+s(24,40,20)-*
s(24,40,28)c(40,32,12)s(48,32,20)s(40,16,12)-+-
s(16,40,20)c(24,32,20)s(32,40,20)s(48,16,20)+--
c(24,24,20)c(40,16,12)-s(24,40,28)*s(40,24,20)-
c(40,24,20)s(48,40,20)s(32,24,28)+s(32,32,28)-+
t(24,24,20)c(40,24,12)s(48,24,12)+t(40,24,20)*-
c(24,40,20)t(24,32,28)c(32,24,20)s(24,16,20)---
s(48,32,20)s(40,48,12)-s(24,32,28)s(40,40,28)-+
s(48,32,20)c(32,32,28)s(40,8,12)t(40,32,20)+*-
t(24,40,28)t(32,32,28)s(32,8,12)+s(24,48,12)-*
s(16,40,20)c(48,16,12)s(16,32,20)+c(24,32,20)**
s(32,48,20)s(40,32,20)s(32,40,20)*-t(24,32,20)-
s(24,32,28)s(24,16,12)-t(24,24,12)t(40,40,20)+*
s(24,32,28)c(40,40,20)*c(40,16,12)-s(24,24,12)+
t(40,48,20)c(24,32,20)c(32,24,20)*t(24,48,20)-+
t(32,32,28)c(24,24,20)t(16,16,12)-s(32,24,28)**
s(40,32,20)t(40,40,12)-s(40,40,12)+c(40,24,12)-
t(24,40,28)s(16,48,20)c(24,40,20)*s(48,16,20)+*
s(32,40,20)c(40,24,20)c(32,40,20)c(48,48,12)-*-
s(24,32,28)s(40,40,12)-s(48,40,12)t(32,16,12)+-
s(40,40,20)t(24,48,20)+s(32,40,28)s(16,32,20)-*
s(40,8,12)s(8,32,12)s(32,24,28)s(48,8,12)-++
c(16,24,12)c(32,40,20)s(40,40,12)-t(24,24,20)++
t(24,40,20)s(24,48,20)c(32,32,20)-s(40,48,12)++
c(24,32,20)t(40,24,12)-c(40,40,12)t(32,48,28)+-
s(16,8,12)s(32,48,12)c(32,24,12)++s(32,32,20)*
s(32,32,28)s(32,16,20)t(32,40,28)s(40,24,28)-+*
s(40,32,28)c(24,24,20)s(48,24,20)s(40,40,20)--*
c(32,32,20)s(40,40,20)t(24,40,28)s(32,40,20)*--
s(24,40,28)c(32,32,28)s(16,16,20)*-s(48,48,20)-
s(32,16,20)s(24,16,20)+s(8,8,12)+t(24,24,12)-
t(32,40,20)c(32,24,20)s(40,32,12)--s(24,48,12)+
c(32,32,20)t(48,48,12)s(32,24,28)c(32,32,20)*+*
s(40,40,20)t(40,48,20)c(24,24,12)+s(40,24,20)-+
s(24,16,20)t(32,40,12)+s(32,24,28)+t(40,32,12)-
s(48,32,20)t(24,24,20)+t(40,32,12)c(48,32,12)+-
s(32,40,28)t(40,24,20)-s(24,48,20)s(16,48,20)**
s(32,40,28)t(24,56,12)s(24,16,20)+s(24,24,12)--
c(32,32,20)s(40,32,28)*s(40,40,20)*s(40,48,12)-
c(40,32,20)t(24,40,28)+s(48,32,20)-t(16,48,12)-
t(48,48,12)s(48,24,12)c(32,32,12)+s(40,40,28)*+
s(48,40,20)c(32,24,20)+s(32,32,28)s(24,24,12)-*
c(40,40,20)s(24,32,28)*t(32,40,20)t(24,40,28)**
s(40,32,20)s(32,48,20)s(32,32,28)c(48,32,12)-*-
c(32,16,12)s(40,48,20)s(32,40,20)s(32,24,12)--+
s(24,40,28)c(32,24,20)*s(24,40,20)*s(16,16,12)+
s(24,40,20)t(24,40,28)*t(32,32,28)t(32,40,28)**
s(32,32,20)t(24,32,28)c(40,32,12)c(16,24,12)+**
t(48,16,12)s(32,40,20)s(24,32,20)*+c(16,48,12)-
s(24,32,20)c(24,24,20)t(32,48,28)-s(32,32,28)**
s(40,32,20)s(40,24,20)+t(32,48,28)s(48,24,12)+*
s(32,16,20)t(40,32,20)+s(32,24,20)s(48,24,12)+*
c(40,40,20)t(16,24,12)+c(40,48,12)-c(24,40,20)-
s(40,40,12)t(32,40,20)+s(16,40,12)+s(24,24,20)-
s(32,24,20)t(32,16,12)-s(40,32,20)+s(40,24,20)*
s(16,40,20)t(32,40,20)s(48,48,20)+-c(40,48,12)+
s(16,24,12)t(48,56,12)t(32,40,12)s(32,8,12)+++
s(24,40,20)s(32,40,20)+c(24,48,12)-s(16,32,12)+
s(24,24,28)s(32,48,20)s(32,16,12)+*c(24,24,20)*
c(32,40,20)t(40,16,12)t(24,40,28)+*t(24,48,28)*
t(24,32,20)s(16,40,12)+s(32,48,12)s(40,32,20)+-
s(24,40,28)t(16,32,12)-t(40,40,20)+c(32,40,12)-
c(24,40,20)t(48,56,12)+c(32,40,20)*s(32,24,12)-
s(48,16,20)s(32,24,12)-t(32,40,20)+c(40,40,20)*
s(24,32,20)s(24,32,12)s(32,32,28)t(32,40,28)*++
c(24,24,20)c(32,32,20)t(24,48,20)-t(32,48,28)-*
c(32,32,20)c(32,24,20)s(40,24,28)*t(24,40,20)-*
s(24,24,20)s(24,32,20)+c(40,32,20)c(32,24,20)+*
s(40,24,20)s(40,24,28)s(32,16,20)*c(32,40,20)+*
t(32,40,28)t(40,48,12)-s(40,16,20)c(40,16,12)--
t(24,48,20)s(40,32,28)t(32,32,28)s(24,40,12)-*+
s(32,24,28)s(8,8,12)s(40,8,12)+t(32,40,20)+*
t(24,32,28)s(32,32,28)t(32,48,28)t(40,56,12)-**
t(40,24,20)c(32,48,12)+s(24,40,28)*s(16,24,20)+
s(40,40,20)s(32,24,28)s(16,16,20)-s(32,8,12)-*
t(40,56,12)c(24,40,12)+t(32,24,20)+s(24,32,28)*
t(32,24,12)s(40,48,20)+s(40,32,28)*s(32,32,20)+
s(40,40,28)s(32,32,20)c(32,24,20)*s(40,16,20)+-
s(24,40,28)s(32,40,20)s(16,24,20)s(24,32,20)*-*
s(24,24,20)s(16,48,20)t(24,40,28)*-s(40,24,28)*
t(24,32,28)c(24,32,20)s(16,40,20)c(24,40,20)***
c(24,40,20)t(24,48,28)s(16,16,12)s(40,24,28)+-*
s(32,32,20)s(8,24,12)+t(48,24,12)+s(24,40,28)-
t(24,32,28)t(24,40,28)s(32,16,20)-s(16,48,20)++
t(24,32,28)c(16,48,12)s(40,32,28)+*s(24,24,20)*
t(32,24,20)t(24,40,20)-t(32,48,20)s(16,48,12)-+
t(24,40,28)s(24,32,28)*t(16,32,12)c(16,24,12)+-
c(32,40,20)t(40,32,20)*s(16,40,20)+c(32,24,20)*
s(48,48,20)t(24,48,28)c(24,32,20)s(16,48,20)+*+
c(16,40,12)s(48,48,12)+s(48,40,20)s(40,32,20)*-
s(32,40,20)t(32,32,28)*s(32,16,20)-s(16,16,12)+
s(32,16,12)t(32,32,12)+t(24,24,20)+t(40,32,20)-
s(32,40,20)s(48,24,20)s(48,32,20)*s(32,32,28)*-
c(24,16,12)s(16,32,20)+s(24,40,20)+t(32,32,28)*
c(32,32,28)t(32,56,12)t(32,48,28)c(24,40,20)*+*
c(48,48,12)t(40,24,20)+t(40,40,20)s(32,24,12)--
s(40,16,20)s(40,32,12)-t(32,48,28)s(24,40,12)-+
s(16,24,20)s(40,32,20)+t(24,48,28)s(16,24,12)+*
s(24,40,20)s(32,24,28)*s(24,24,28)t(32,32,20)-+
s(40,40,28)c(24,40,20)s(40,32,28)c(40,16,12)-*-
s(40,16,12)s(8,24,12)+t(32,24,20)s(16,40,20)-+
s(24,16,20)s(32,16,20)c(24,32,20)-+s(16,48,20)+
s(32,40,28)c(48,24,12)-c(32,32,20)c(40,40,20)**
c(16,40,12)t(32,32,20)c(32,48,12)++s(40,32,20)-
s(24,40,28)c(24,32,20)c(32,24,20)s(24,24,28)***
s(48,32,20)c(40,32,20)+s(32,32,28)s(24,40,20)-*
s(40,32,20)s(24,32,20)c(24,24,20)+s(24,8,12)-*
s(32,40,12)s(32,16,20)s(40,16,20)*+t(32,24,20)*
c(32,32,20)t(24,40,20)s(40,40,28)s(24,40,28)*+*
t(32,48,28)c(24,32,20)t(32,24,20)*+t(40,48,12)-
c(32,40,20)c(32,32,20)*t(32,40,20)-s(16,32,20)+
c(32,32,28)c(40,40,20)-s(24,48,12)+s(16,40,20)*
s(32,8,12)t(32,48,28)+s(32,24,28)c(40,24,20)**
s(40,24,28)t(40,24,20)c(40,24,20)c(24,24,20)-+-
c(40,32,20)s(40,24,20)*t(24,24,12)-s(48,32,20)*
t(32,48,20)t(40,56,12)-s(40,16,20)s(8,40,12)++
t(40,24,20)s(16,32,20)s(24,24,20)s(48,16,20)-*+
c(24,40,20)t(24,24,20)+c(32,40,12)-s(24,40,12)-
s(40,16,20)c(24,40,20)t(32,32,20)t(32,48,12)+*+
c(40,40,20)s(24,32,28)-s(32,24,20)t(48,32,12)+-
s(32,32,12)s(40,40,12)+c(24,40,12)s(48,32,12)++
c(32,40,20)s(8,32,12)+t(24,24,20)+s(40,32,28)*
s(16,24,20)s(8,8,12)-s(40,16,20)+s(40,24,28)*
c(24,24,20)s(40,24,28)-s(32,40,28)s(32,32,28)*+
t(16,32,12)s(40,48,20)s(24,32,28)s(8,16,12)--+
c(40,48,12)c(24,24,12)+s(40,32,28)*c(16,32,12)-
s(40,24,28)s(32,32,12)t(24,24,20)+-s(48,32,20)*
c(32,32,20)c(32,24,20)*t(24,40,20)-t(32,48,28)-
c(40,40,20)s(32,8,12)s(24,40,28)+t(24,48,28)*-
s(48,48,12)c(24,32,20)+s(24,8,12)+c(32,40,20)+
t(32,24,20)s(24,32,28)c(16,32,12)c(24,32,12)+-+
s(40,40,28)t(32,32,28)+c(32,24,20)*s(24,32,12)-
t(24,40,28)c(32,40,12)s(40,24,20)+c(16,16,12)+*
t(32,32,20)t(40,24,12)+s(24,32,28)s(40,40,28)--
s(48,24,20)s(32,8,12)+c(40,32,20)*c(32,16,12)-
s(40,24,20)s(40,40,20)+c(40,32,20)*t(40,24,20)-
c(32,24,20)t(48,16,12)-s(16,16,12)-s(24,48,20)-
c(16,16,12)s(40,16,20)s(24,16,20)t(16,16,12)-*+
c(32,24,12)c(32,40,20)t(40,48,20)*+s(32,8,12)+
s(40,48,20)s(40,16,20)s(8,32,12)++c(32,40,20)-
s(40,32,28)c(24,40,20)s(48,16,12)+c(40,32,12)+-
t(40,40,12)t(24,48,28)s(40,48,20)*+s(24,40,28)*
c(48,16,12)s(40,24,20)+s(32,32,12)-s(24,40,28)-
t(24,40,20)c(32,40,20)c(24,48,12)-t(32,32,20)*-
c(40,40,20)c(16,16,12)c(32,24,20)+*t(24,32,12)-
s(32,32,28)s(48,32,20)t(40,48,20)s(32,24,12)++*
s(40,32,20)c(40,32,20)s(16,24,12)+s(24,24,28)-+
s(32,24,28)t(24,24,12)t(24,48,20)+s(48,24,20)+*
c(40,40,20)c(24,40,20)s(32,24,12)-t(24,40,28)**
t(32,40,28)c(32,32,28)s(48,48,20)-s(24,48,12)--
s(40,24,28)c(24,40,12)+t(32,40,28)+t(24,40,28)-
t(24,40,20)t(32,40,28)s(40,24,20)+s(48,48,12)-*
s(40,24,20)t(40,48,12)+s(24,32,28)s(24,48,20)-*
s(48,8,12)s(24,32,20)s(24,16,20)-c(40,16,12)++
s(24,16,20)t(32,32,28)c(40,32,20)c(48,24,12)-*+
t(40,40,20)s(40,40,20)s(24,48,20)t(24,48,28)*-+
s(32,32,20)t(24,40,20)s(16,24,20)s(16,48,12)++*
t(32,40,28)s(40,40,28)*c(32,32,20)*c(16,32,12)-
s(40,40,28)t(32,48,20)-t(32,32,12)-c(32,40,20)*
s(24,40,28)c(24,32,20)s(24,24,20)s(40,24,12)-**
t(40,40,20)s(40,32,28)s(24,40,20)*s(16,32,20)++
t(32,40,28)s(40,32,28)+c(16,32,12)s(32,48,20)+*
c(32,24,20)s(48,16,20)c(32,32,28)*+t(32,40,28)*
c(24,16,12)t(16,16,12)+t(32,32,28)+s(40,48,20)-
s(24,32,28)c(40,40,12)s(8,32,12)+c(32,32,12)--
s(32,40,20)s(48,24,12)+s(32,48,20)+c(32,24,20)*
s(24,16,20)c(24,40,12)+t(24,32,20)*t(24,40,20)+
s(40,24,20)s(24,24,12)+t(24,48,12)+s(24,32,20)*
t(32,40,28)s(32,40,28)s(48,48,20)*t(24,32,28)+*
s(40,24,20)t(24,56,12)+t(24,40,20)-t(16,24,12)+
t(40,40,20)c(40,32,20)s(48,40,20)*s(40,8,12)++
c(24,24,20)s(40,48,20)s(40,32,12)-+s(24,24,28)*
t(40,48,12)s(40,32,20)+s(48,24,12)s(48,8,12)+-
s(16,32,20)c(48,32,12)+s(8,16,12)s(40,32,20)+*
c(32,32,28)s(48,48,12)s(24,24,12)+s(16,16,12)--
s(40,40,12)t(32,40,28)t(24,48,28)*+s(24,32,28)*
s(16,32,20)t(24,48,12)t(24,24,20)+*c(32,16,12)+
s(32,48,20)t(24,32,20)-s(24,32,20)+s(16,32,20)*
c(24,32,20)t(24,40,28)*c(24,48,12)c(24,24,12)+*
s(32,16,12)t(40,32,20)+c(40,32,20)c(32,16,12)-*
s(32,32,20)t(32,48,20)s(48,40,20)+s(40,32,28)**
s(48,40,20)t(32,40,28)*t(32,48,20)t(40,40,20)+*
s(40,32,28)s(32,40,28)s(48,16,20)+*c(16,32,12)-
t(24,40,20)c(24,24,12)t(32,24,20)+s(40,16,12)--
t(32,32,28)c(24,16,12)-c(40,32,20)c(24,24,12)-*
s(48,16,20)c(24,40,12)+c(32,24,20)-t(32,40,20)-
t(32,32,28)s(40,24,12)-c(32,32,20)*s(48,40,20)-
s(32,32,28)t(32,24,20)s(24,16,12)-s(8,16,12)++
t(32,32,28)c(24,48,12)+t(24,24,20)s(16,24,20)+*
s(16,24,20)s(40,40,28)s(8,32,12)s(16,8,12)++*
t(40,40,20)s(24,40,20)+s(40,24,20)c(48,16,12)--
s(40,32,28)c(32,32,20)s(24,40,20)c(48,40,12)+**
s(16,32,20)s(40,32,12)s(16,24,12)+-t(32,24,20)-
c(32,32,28)c(16,32,12)s(16,24,12)+t(48,16,12)+-
s(32,24,28)t(32,32,28)*t(16,40,12)-c(32,40,20)*
s(32,16,20)c(40,40,20)+t(32,32,28)*c(32,40,20)*
s(32,40,28)s(48,32,20)*t(32,24,20)t(24,40,20)-+
c(40,16,12)s(32,32,20)c(32,40,20)*+s(24,40,28)+
t(24,48,20)s(48,8,12)+s(32,8,12)+s(24,40,28)*
s(24,24,20)s(24,32,20)*c(24,24,20)s(32,40,28)**
s(24,24,28)s(32,16,12)-s(16,40,20)-t(40,32,12)-
s(24,40,20)s(24,32,28)s(48,48,20)t(40,24,20)+*-
s(32,32,28)c(24,24,20)t(48,56,12)+*t(32,40,12)-
s(32,40,20)s(32,16,12)s(24,16,20)c(24,32,20)*+-
c(24,40,20)s(24,32,28)*s(24,40,28)t(32,48,12)-*
t(40,16,12)t(24,48,28)+s(32,32,28)*t(40,16,12)-
c(32,32,28)t(32,32,28)t(32,40,20)*-s(48,32,20)-
s(24,32,20)s(16,40,20)s(24,32,20)t(32,40,28)*-+
t(32,40,28)s(24,40,20)s(32,40,28)c(24,48,12)-*+
c(48,32,12)c(32,32,20)+t(24,40,28)s(40,32,28)*-
s(40,16,20)c(32,24,20)c(32,32,20)*c(32,40,20)*-
t(48,40,12)s(16,40,20)c(48,16,12)++t(24,24,20)-
s(24,40,20)t(32,16,12)t(24,40,28)+s(16,8,12)+*
s(32,8,12)t(40,48,20)+c(48,24,12)+c(40,16,12)-
t(40,32,20)t(24,24,20)t(24,40,20)s(40,24,28)+*-
s(48,32,20)c(32,24,20)c(24,16,12)c(40,32,20)+**
t(40,24,12)c(24,24,20)c(32,24,12)s(40,8,12)+*+
s(48,48,20)c(24,40,20)+s(32,48,12)-t(48,48,12)-
c(32,32,20)c(32,24,20)s(24,32,20)c(32,32,20)*+*
t(24,24,12)c(16,32,12)+t(40,40,20)+s(24,40,20)*
s(32,16,20)c(48,40,12)+s(32,32,28)s(48,32,20)**
s(32,48,20)t(40,56,12)c(32,32,20)+c(24,32,20)**
c(48,32,12)s(32,24,28)s(16,32,20)-c(40,24,20)*+
c(32,24,20)s(40,40,28)s(48,32,20)+c(24,40,20)**
t(24,32,20)c(16,40,12)+c(40,40,12)s(24,40,12)+-
s(40,32,28)t(16,56,12)+c(48,40,12)s(32,24,20)+*
c(24,32,20)s(8,48,12)+s(16,16,20)+c(32,32,28)-
c(40,32,20)c(32,40,12)-t(32,40,28)s(32,24,20)*-
t(24,40,28)s(40,40,28)s(32,32,28)*c(40,40,20)**
s(32,32,28)s(32,32,28)s(40,24,28)c(40,32,20)**-
t(32,48,28)s(32,24,20)-s(32,48,20)s(32,40,20)**
t(24,40,28)s(24,32,28)c(24,40,12)--c(24,40,20)*
s(32,40,28)s(8,48,12)s(24,24,20)+*c(24,24,20)*
c(40,24,20)s(40,40,20)*t(40,32,20)t(32,24,20)+*
s(40,32,28)s(24,40,20)-t(32,24,20)t(32,32,12)-+
s(40,24,12)t(24,48,20)+c(24,24,20)c(16,32,12)--
s(24,40,28)s(40,24,20)s(16,32,12)+c(16,40,12)-*
c(24,40,20)s(24,40,12)c(40,32,20)+s(32,40,20)**
s(24,48,20)t(40,48,20)-t(32,40,12)-s(32,24,20)-
s(16,32,20)c(24,40,20)s(32,32,12)-s(40,16,20)+*
t(24,24,20)s(24,32,20)c(24,40,12)s(40,16,12)+*-
c(24,40,20)s(32,40,28)s(16,8,12)+s(16,16,12)-+
t(48,16,12)s(40,32,28)c(24,40,20)*c(24,32,12)++
s(48,16,20)s(24,24,20)-t(32,32,28)+c(32,40,20)-
s(40,40,12)t(32,40,20)+s(32,24,28)s(16,16,12)-*
c(24,32,20)c(32,40,20)*c(32,32,20)c(48,32,12)-*
s(40,32,28)t(40,32,20)s(32,48,20)+*s(32,32,20)*
s(8,48,12)t(40,32,20)+c(24,40,20)t(24,24,12)-*
s(24,40,20)t(40,56,12)+s(24,32,28)+s(40,40,20)-
c(32,32,20)c(32,48,12)-t(40,48,20)s(40,40,20)*-
s(40,40,12)c(32,32,20)t(24,40,28)t(32,48,12)--+
s(24,40,28)s(32,40,28)*t(32,32,28)*t(40,32,20)-
s(32,24,12)s(24,32,12)c(40,48,12)++s(24,40,12)+
s(24,48,20)s(16,48,20)s(48,24,12)++s(16,32,12)+
s(48,48,20)c(40,24,20)s(48,8,12)--c(32,40,20)-
c(40,24,20)t(32,24,20)-t(24,32,28)-c(24,40,20)+
s(40,40,20)s(32,32,28)t(32,24,20)-c(24,40,20)--
c(40,40,20)s(32,40,28)t(24,32,20)-*t(32,48,20)-
c(32,40,12)c(32,16,12)t(32,24,20)++t(32,32,20)*
s(16,24,12)s(40,24,20)+c(48,24,12)-t(16,16,12)-
s(40,32,28)s(40,32,20)c(32,32,20)s(32,24,20)**-
c(16,16,12)s(24,24,20)s(24,32,12)-+s(16,16,20)*
s(24,40,28)s(32,24,28)s(32,16,12)-t(24,24,20)--
s(24,48,12)s(24,16,20)+c(24,40,20)*s(8,8,12)+
s(16,32,20)c(24,40,20)*c(16,48,12)+s(32,48,20)-
c(24,24,20)s(32,32,28)s(32,16,20)*t(24,48,20)+*
c(24,24,20)s(24,16,12)t(32,40,28)c(32,40,20)*+-
t(32,32,28)t(48,48,12)+s(40,32,28)*c(32,40,12)-
s(32,24,20)t(24,40,20)-s(24,32,20)t(32,48,20)--
c(32,32,20)s(32,24,12)-c(40,48,12)+s(40,40,28)*
c(40,48,12)s(40,24,12)+s(32,24,20)t(32,40,28)*-
c(24,48,12)s(24,16,20)c(24,32,12)-+c(24,32,20)+
t(24,48,20)s(16,48,20)c(40,40,20)t(32,32,20)*-+
s(16,16,20)s(32,24,28)s(32,40,28)s(32,32,28)**-
t(40,48,20)c(16,40,12)+s(40,48,20)*s(48,48,20)*
s(24,24,28)t(32,48,28)c(24,40,20)c(24,24,20)*+*
s(40,24,20)c(16,16,12)c(40,40,20)s(32,40,28)*+*
t(24,32,20)s(48,32,20)s(48,16,20)*+s(24,40,20)*
t(24,32,28)s(32,32,28)*s(24,48,20)-s(8,8,12)+
c(24,40,20)s(32,40,28)s(24,24,20)*t(32,56,12)+*
s(40,48,20)c(32,40,20)c(24,40,12)-t(32,48,20)--
c(24,40,20)c(32,24,12)s(24,40,20)+*c(16,32,12)-
t(32,48,28)c(48,48,12)+t(32,24,20)-c(24,40,20)+
s(40,40,20)s(40,32,12)c(16,16,12)s(24,40,12)++-
t(24,48,28)s(32,24,28)s(32,40,28)*-c(24,40,20)*
s(40,48,20)s(48,40,20)s(24,40,20)s(40,16,12)++*
c(48,24,12)t(24,40,28)c(40,40,20)*s(32,24,12)-+
s(24,24,28)s(32,40,28)t(24,32,28)*s(48,40,20)+*
t(24,16,12)s(48,32,20)+s(24,32,12)+t(40,32,20)-
c(48,48,12)t(32,40,20)+s(32,32,28)c(40,32,20)-+
s(32,32,28)c(24,40,20)t(48,40,12)+s(24,48,12)-*
t(40,48,20)c(16,32,12)+c(40,40,20)s(40,32,28)**
c(24,32,20)s(32,48,12)-s(24,48,20)c(16,32,12)+-
t(32,32,20)s(40,24,20)+c(40,32,12)-c(48,40,12)+
t(32,32,28)t(40,48,20)-t(24,40,12)-c(32,16,12)+
s(32,40,28)t(32,48,28)c(48,24,12)t(40,40,20)+--
s(48,32,12)t(24,56,12)+s(8,24,12)+t(40,48,20)-
c(16,16,12)s(24,40,28)s(24,24,28)-+s(24,48,20)*
s(32,24,20)s(32,48,20)+s(24,16,20)c(24,24,12)--
t(32,24,20)s(48,32,20)t(24,16,12)+c(32,40,20)+*
t(40,24,20)s(24,32,28)s(8,24,12)-s(40,16,12)-+
s(24,48,20)c(24,40,20)t(24,48,28)s(24,48,20)*--
s(48,40,20)t(32,32,12)+c(48,24,12)-t(40,48,20)-
t(40,40,20)t(32,40,28)t(40,48,20)*+c(40,32,20)*
c(32,32,28)s(8,32,12)s(48,40,20)c(32,32,20)*+*
t(32,40,28)s(32,16,20)t(32,24,20)c(40,40,12)-*-
s(48,40,20)t(32,40,28)t(24,40,28)t(40,40,12)+*-
s(32,24,28)s(16,48,20)s(16,40,20)+-s(40,32,12)-
s(32,24,28)s(48,24,20)t(32,40,28)t(40,40,20)*-+
s(32,48,20)s(32,40,20)c(40,40,20)c(40,32,20)***
s(24,24,28)t(24,32,12)-s(32,16,20)c(32,32,20)--
c(24,24,20)t(48,16,12)s(40,32,12)+-t(48,40,12)+
s(24,48,20)s(16,32,20)s(32,32,12)-t(32,32,20)-+
s(32,24,20)t(32,32,20)-c(24,24,20)s(40,16,20)*+
s(32,32,20)c(24,24,20)*s(8,24,12)s(24,16,12)+-
s(32,24,12)s(24,32,28)s(40,32,28)s(24,24,12)-*+
c(24,32,20)c(40,24,20)*s(16,8,12)+c(40,32,20)*
c(24,32,20)s(32,16,20)s(24,40,28)s(40,32,28)-++
t(24,40,28)s(24,24,20)s(32,48,20)+t(40,24,20)-*
s(24,40,20)c(32,32,20)c(48,48,12)-s(40,40,28)**
s(32,40,20)c(16,32,12)-c(24,40,20)*t(24,24,20)+
c(24,40,20)t(32,40,20)s(32,24,28)+*s(40,40,20)*
c(24,40,20)t(16,48,12)s(16,24,12)+s(24,24,12)+*
c(32,24,20)s(32,48,12)+c(40,24,20)t(40,40,12)-*
s(24,32,28)c(32,24,20)s(48,16,20)-s(24,32,28)*-
t(48,56,12)s(40,24,20)+s(24,24,28)*s(32,16,20)*
s(16,24,20)s(16,32,20)s(8,8,12)+*c(32,32,20)+
t(32,24,20)s(16,16,20)s(16,32,20)c(40,32,12)+*-
t(40,24,20)c(32,40,12)-s(24,32,28)+c(16,32,12)-
s(40,16,20)t(24,32,20)-c(32,32,28)s(24,24,12)-*
c(24,40,20)t(24,40,28)t(40,48,12)-*t(40,48,20)+
t(32,40,20)s(24,40,28)s(40,32,20)c(32,32,20)+**
t(32,40,28)s(48,24,20)c(24,40,20)+c(16,40,12)-*
t(32,40,28)c(48,40,12)+s(24,40,28)*s(40,48,20)*
s(32,40,20)t(32,32,28)s(40,48,12)c(32,32,12)+-+
c(32,32,28)c(48,16,12)-s(24,16,20)t(32,48,12)+*
c(40,32,20)s(16,48,20)t(24,32,28)+s(16,16,20)+*
c(24,24,20)s(24,32,20)s(32,32,20)*s(32,24,12)+*
s(40,16,20)s(24,24,28)s(48,32,12)s(24,48,12)++*
s(40,48,20)t(32,40,20)s(24,16,20)-s(8,24,12)+-
s(40,32,28)t(24,32,28)c(24,48,12)-t(32,48,28)+*
t(40,56,12)t(16,40,12)+s(32,32,12)+c(32,40,20)*
s(40,32,28)t(32,48,28)t(48,32,12)+t(40,32,12)-*
c(32,24,12)t(24,48,28)+s(40,24,28)t(40,40,20)+*
t(40,32,20)c(40,40,20)t(48,48,12)-s(16,8,12)+*
t(24,48,20)s(24,16,20)s(24,32,12)+s(32,32,28)*-
s(40,24,20)c(24,24,12)t(24,40,28)+s(40,32,28)*-
t(24,40,28)c(24,24,20)c(40,24,20)-t(24,24,20)+*
c(32,24,20)c(24,24,20)s(16,32,20)-t(32,32,12)+*
s(40,40,28)c(40,40,20)c(32,24,20)*s(48,16,20)+*
s(24,16,12)t(24,48,28)+t(40,40,12)+t(24,40,28)*
t(24,48,20)t(24,40,28)t(24,32,12)-c(32,48,12)--
s(48,40,20)c(32,24,12)-s(48,32,20)c(32,32,20)+*
c(24,24,20)s(16,24,20)*s(16,48,20)s(16,40,20)*-
t(24,48,20)s(24,32,28)s(16,40,20)*s(24,24,28)*+
c(48,32,12)c(32,32,28)t(24,48,28)t(16,40,12)-*+
s(16,32,20)s(32,48,20)t(32,24,20)+s(24,32,28)*-
c(40,40,20)s(40,48,20)t(32,32,12)--c(16,48,12)+
c(24,32,20)c(24,24,20)*c(32,24,20)s(40,16,20)-*
s(40,48,20)c(40,24,20)+t(32,32,20)*t(16,56,12)+
s(40,16,12)c(40,40,20)t(24,40,28)*c(24,32,20)++
s(32,32,28)c(40,24,20)*s(48,16,12)t(40,32,20)+*
s(16,32,20)c(40,32,12)+s(24,48,20)+s(24,24,12)-
s(16,40,20)c(16,24,12)-c(40,40,20)s(24,48,20)*-
t(24,24,12)s(40,16,20)+s(32,24,28)*t(32,32,12)+
c(32,16,12)s(16,24,20)+c(24,48,12)+s(16,32,12)-
c(40,40,12)s(24,24,28)s(32,40,28)-+s(32,8,12)-
t(32,32,28)c(40,32,20)s(48,40,20)*+c(32,32,20)*
s(32,40,28)s(24,48,12)-t(32,40,20)s(16,32,20)+*
s(24,24,20)s(24,40,28)t(48,56,12)c(16,40,12)+*-
c(32,32,28)s(24,32,28)c(32,40,12)-*c(32,48,12)+
t(32,32,28)c(40,32,20)t(40,40,12)-s(48,16,12)--
s(16,40,12)c(32,16,12)+s(16,24,20)c(16,24,12)--
t(32,32,28)s(32,16,20)s(24,16,20)*-s(40,32,20)*
s(24,40,20)s(40,48,20)s(40,32,20)*t(16,56,12)+-
s(32,32,28)t(32,40,28)s(40,40,20)*t(48,40,12)-*
s(40,40,20)c(32,32,28)c(48,16,12)c(24,24,20)+*-
s(16,24,20)t(32,32,28)c(16,40,12)t(32,16,12)+*-
s(24,24,20)t(24,32,20)c(40,24,20)+t(32,32,28)--
c(16,16,12)t(24,48,28)t(24,40,28)*+c(32,32,20)*
s(24,40,28)c(32,24,20)*s(40,8,12)+c(32,16,12)-
s(40,40,20)c(32,40,12)t(24,48,12)++s(32,40,12)-
c(32,40,20)c(24,32,20)*c(48,16,12)+s(32,24,20)-
s(24,40,20)s(40,40,20)-s(16,24,20)c(24,24,20)*+
s(48,16,20)s(16,40,20)c(32,32,28)*+s(40,24,28)*
s(24,24,20)s(32,24,28)s(40,32,12)-s(48,24,12)-*
t(40,32,20)t(24,24,20)+c(24,24,20)*t(24,16,12)-
s(32,48,20)t(32,40,28)s(24,48,20)*s(40,24,12)+*
t(48,48,12)t(16,16,12)+c(40,32,12)+t(24,48,28)-
s(16,24,20)c(24,24,20)s(16,32,12)-s(24,32,28)*-
t(32,32,28)s(40,16,20)s(32,32,12)-s(16,40,20)+*
t(32,48,28)c(16,24,12)s(40,48,20)+*t(32,40,28)*
c(32,32,20)s(32,16,20)+s(48,16,20)-c(40,40,20)*
s(40,16,20)c(24,16,12)+t(32,40,28)-s(40,32,20)+
s(48,8,12)s(32,48,12)s(32,24,12)+t(32,48,28)*+
s(48,24,20)s(48,32,20)t(32,40,20)+t(24,48,20)-*
s(32,32,28)t(24,48,28)s(16,32,20)t(16,16,12)-+*
t(24,56,12)t(24,32,20)+s(32,24,12)-t(24,32,20)*
s(48,16,20)s(32,32,20)c(32,32,28)s(40,24,28)-++
c(40,40,20)s(32,32,20)s(48,32,20)-+t(24,40,28)-
s(16,32,20)c(24,32,20)*s(32,24,28)*s(40,16,20)+
s(8,8,12)c(24,40,20)s(24,32,12)-+s(24,32,12)+
s(24,48,20)s(48,32,12)c(24,32,12)++c(40,32,20)*
s(40,40,12)s(24,32,20)s(24,16,12)-+t(48,40,12)-
c(40,40,20)c(24,32,20)c(40,24,20)*-t(32,32,28)-
c(40,32,20)c(16,16,12)t(40,48,12)++t(32,40,20)*
s(32,24,28)t(32,48,20)+s(24,16,20)*s(40,24,28)*
t(32,40,28)t(32,32,28)+t(40,32,12)-s(24,40,20)*
t(40,32,12)s(32,40,28)c(40,24,20)-s(16,48,20)*+
s(32,32,28)t(32,48,28)s(48,24,12)c(24,48,12)+--
s(48,32,12)c(32,32,20)s(40,32,20)*t(40,40,12)-+
t(40,32,12)s(32,48,12)+t(32,32,28)t(40,24,12)-+
c(32,40,20)t(32,32,28)c(24,32,20)**c(16,32,12)+
c(40,24,20)s(32,40,28)s(24,24,20)-s(40,32,28)-+
s(16,16,20)s(32,40,20)s(32,24,12)+-s(24,16,20)*
c(32,32,28)s(32,48,20)*c(32,32,20)s(32,40,20)*+
c(40,40,20)t(48,16,12)s(40,48,12)+s(40,40,20)+*
s(24,48,12)s(48,16,12)s(40,8,12)++t(32,48,12)-
s(32,32,20)t(24,40,28)t(32,48,28)*c(24,16,12)+*
c(40,32,20)t(24,48,28)s(48,32,20)+*c(40,24,20)*
c(40,24,20)t(24,24,12)-s(48,16,20)+c(32,24,12)-
s(32,24,28)t(40,48,20)+s(40,40,28)s(32,40,20)--
s(40,40,20)c(24,40,20)c(32,32,12)-t(24,40,12)-+
s(40,24,28)s(48,16,12)-s(40,32,20)s(32,24,20)*-
s(24,32,28)s(32,32,20)-t(24,24,20)-c(32,48,12)+
s(24,16,20)t(24,32,20)+c(32,32,20)s(32,24,28)*-
s(16,16,12)c(32,40,20)t(32,40,12)-+c(40,32,20)*
t(48,32,12)t(24,48,28)+s(24,40,28)+s(40,32,20)*
s(24,16,12)t(24,40,28)c(32,16,12)+s(32,24,28)-+
c(32,32,28)t(32,32,20)-s(40,24,28)c(40,32,12)-*
s(40,40,28)s(48,40,20)-s(48,48,20)s(32,24,20)+*
t(40,32,12)t(24,40,20)+s(40,24,28)c(32,32,20)+*
s(40,24,20)c(24,48,12)+c(16,16,12)+s(48,16,20)*
s(8,48,12)s(40,40,20)s(40,24,20)*+s(24,32,12)-
s(32,24,20)t(40,40,20)-s(40,32,12)s(16,32,12)++
c(32,40,20)s(24,16,20)s(16,32,20)-t(24,32,28)-+
c(32,32,20)s(24,40,28)c(32,24,20)*s(8,24,12)+*
s(32,32,28)c(24,32,20)s(16,48,12)-s(40,40,28)--
s(40,24,28)c(32,40,12)t(40,32,20)+c(48,48,12)--
s(40,40,28)s(24,8,12)c(40,32,20)+*s(32,40,20)*
c(16,24,12)c(32,32,28)c(16,40,12)s(40,40,20)+-+
c(48,24,12)c(32,32,12)+c(32,24,12)s(32,48,20)+*
s(24,40,28)c(32,32,20)t(24,48,20)t(32,56,12)--*
s(48,40,12)s(24,32,28)+s(16,48,20)-s(48,48,20)*
s(40,8,12)c(24,24,20)s(24,40,20)c(40,32,12)+-+
s(40,24,20)t(24,40,28)c(48,16,12)t(24,32,20)+*-
s(24,24,28)s(24,40,28)*c(32,48,12)+t(24,40,20)-
s(24,32,28)s(16,24,20)*s(32,40,20)+s(16,40,20)*
t(32,48,28)c(40,40,20)s(24,48,20)+s(24,24,28)*-
s(32,8,12)c(24,24,12)+s(40,48,12)c(32,24,12)+-
s(40,40,28)s(24,32,20)-t(40,40,12)s(24,24,20)+-
t(32,32,28)s(48,40,20)s(32,40,28)*s(16,32,20)+*
s(40,40,28)t(24,32,20)-s(40,40,28)c(40,32,20)**
s(40,48,20)s(24,40,28)t(48,16,12)t(16,48,12)+-*
s(40,24,28)c(32,40,20)s(16,24,20)-*s(48,40,20)+
t(32,32,20)s(24,32,20)+c(24,24,20)s(24,32,28)**
s(24,40,12)c(16,32,12)s(48,24,20)++s(32,24,28)*
t(40,32,20)s(24,32,28)c(40,16,12)+s(40,16,12)-+
s(40,40,28)c(24,48,12)s(16,8,12)c(24,32,20)++*
s(32,8,12)t(48,32,12)t(32,40,28)+t(24,32,12)-+
s(40,40,20)c(32,48,12)s(32,24,12)+s(32,40,28)**
s(48,24,20)c(48,24,12)-s(16,48,20)+c(40,16,12)-
s(40,24,20)t(24,24,12)+s(24,24,28)s(32,40,28)--
c(32,32,28)s(24,40,28)*c(48,16,12)+s(24,40,28)+
c(24,24,20)t(40,24,20)-s(24,24,20)t(32,24,20)--
s(8,16,12)c(32,40,20)c(24,24,20)s(32,24,20)*-+
c(32,16,12)c(24,48,12)+c(32,40,12)c(48,24,12)++
s(24,32,28)s(32,40,28)s(32,24,28)t(24,16,12)-**
c(24,24,20)c(16,40,12)c(32,32,12)t(48,48,12)++*
t(32,24,20)c(24,32,20)s(32,48,20)*+s(16,40,12)+
c(32,32,28)s(16,48,20)s(40,16,12)+-t(32,40,28)*
s(40,40,28)s(40,48,20)c(16,16,12)+c(24,32,20)-*
c(24,24,20)c(24,40,20)c(16,40,12)-s(32,32,28)+*
c(24,32,20)t(24,40,28)*s(40,16,20)+c(40,32,20)-
t(24,48,20)c(24,32,20)s(40,40,28)-c(24,24,12)+-
c(32,32,20)c(24,24,20)s(40,48,20)+*c(24,40,20)*
c(40,40,20)c(48,16,12)t(32,40,28)t(32,48,12)-+*
s(24,32,20)t(24,40,28)*t(48,48,12)t(24,40,20)+*
c(40,24,20)s(48,16,20)c(40,24,20)*c(48,24,12)+-
s(32,24,20)s(48,16,20)s(40,32,28)*t(24,48,28)+*
s(32,32,28)s(40,32,20)t(40,16,12)s(48,32,20)+**
s(24,48,20)s(40,32,12)+t(32,24,12)t(24,40,12)++
c(40,32,20)s(40,40,28)*s(40,48,12)t(24,24,20)+*
t(24,40,12)t(16,48,12)+c(48,32,12)+s(40,40,28)*
t(32,48,28)s(24,40,28)*c(40,40,12)-t(32,56,12)-
s(32,24,20)c(24,32,20)t(24,40,20)-*t(40,48,20)+
s(32,48,20)s(32,48,12)-s(48,48,12)+t(32,48,28)*
c(32,48,12)c(16,16,12)+t(24,32,28)+s(40,24,28)*
t(32,24,20)c(32,32,28)s(32,32,20)-+t(32,40,28)*
s(40,32,28)t(32,40,28)c(16,40,12)-c(32,24,12)-*
c(40,32,20)s(40,40,12)-t(32,32,28)*c(32,24,20)*
s(32,40,28)t(32,48,28)c(32,32,20)*s(8,48,12)+*
s(32,40,28)c(40,24,20)t(24,48,28)+*s(24,40,28)*
t(24,40,28)s(32,40,28)*s(24,40,20)*t(40,40,12)+
c(40,24,20)s(24,32,28)s(8,48,12)--t(40,32,20)+
c(32,24,20)t(40,40,12)-t(24,16,12)s(48,32,20)+-
s(24,40,28)c(24,16,12)s(24,8,12)++s(40,24,28)*
s(24,32,28)s(8,48,12)-c(16,48,12)-s(40,24,28)*
t(32,40,20)s(48,24,20)s(32,48,12)s(48,40,20)+-+
t(32,48,28)s(40,40,12)-c(24,48,12)+s(16,32,12)+
c(32,32,20)c(24,40,20)t(32,40,28)**s(48,16,12)+
t(48,56,12)t(24,32,12)+s(24,48,12)+s(16,48,20)+
s(40,32,28)t(32,32,28)*s(24,40,20)*s(32,40,12)+
s(40,24,20)t(16,16,12)+s(16,32,20)-c(40,32,20)*
t(40,24,20)s(32,40,28)+c(32,16,12)t(24,32,28)+*
t(24,40,28)s(32,24,20)s(40,24,20)*-c(24,40,20)*
s(48,24,20)s(48,48,20)-c(24,32,12)s(40,24,20)+*
t(32,40,28)c(32,40,20)s(24,32,20)*-t(24,56,12)-
s(32,16,20)s(32,24,20)*s(48,16,20)s(40,24,20)*+
s(32,48,20)s(32,24,28)s(16,32,20)s(8,40,12)-*-
s(16,32,20)s(24,32,20)*s(32,40,20)+s(40,32,28)*
s(40,16,20)s(32,24,20)s(32,24,28)t(24,32,28)**-
s(32,48,12)t(32,24,20)s(24,24,12)++s(32,8,12)-
c(24,24,20)s(24,40,12)c(16,16,12)+t(32,32,20)--
s(24,16,20)c(32,40,20)-s(32,24,28)s(24,32,12)-*
s(32,32,20)s(16,32,20)c(24,48,12)-c(40,40,20)--
t(24,40,20)t(32,40,12)-c(40,40,20)+t(24,32,28)*
s(40,40,20)s(40,40,28)c(32,24,12)-s(32,32,28)*+
c(24,24,20)s(32,24,20)c(40,40,12)-s(40,8,12)--
s(48,32,20)t(24,40,28)t(32,48,28)s(40,40,28)**+
s(40,24,20)s(24,24,12)c(40,32,20)+s(32,40,28)**
t(48,24,12)c(24,32,20)s(40,32,28)*+t(32,48,28)*
c(24,40,20)t(40,32,20)+s(24,32,20)s(32,24,28)**
s(40,24,20)c(40,16,12)-s(40,32,20)*c(24,32,12)+
t(32,40,28)t(32,16,12)t(40,48,20)+*t(24,40,28)+
c(40,16,12)t(32,48,12)s(16,40,20)+t(24,40,28)*+
s(32,40,28)t(32,32,20)c(40,40,20)+s(32,32,20)*-
s(32,24,20)t(24,16,12)s(32,40,28)s(16,32,20)-+-
s(40,48,12)s(48,32,20)+s(24,48,20)s(48,32,12)+*
c(32,32,20)c(40,40,20)s(40,32,28)s(48,24,20)-+*
t(32,32,28)s(16,40,20)c(24,40,20)*-s(16,24,20)-
s(24,24,28)s(40,32,28)s(40,40,28)**s(8,24,12)+
s(8,24,12)t(16,48,12)t(24,32,28)+s(16,32,20)*+
c(48,16,12)c(40,32,20)s(40,16,20)-+t(32,40,28)*
s(40,32,20)s(24,40,28)s(32,32,20)c(24,24,20)**+
t(32,48,20)s(32,48,12)c(40,24,12)++t(32,32,12)-
c(24,40,20)c(40,32,20)t(32,48,28)s(32,40,28)***
s(24,32,28)c(40,24,20)t(40,32,12)-*t(40,40,12)-
c(32,40,20)c(40,24,20)t(32,24,12)-t(40,48,12)+*
t(24,24,20)t(24,24,20)s(24,32,20)*s(48,24,12)+*
s(32,16,12)s(24,16,12)s(24,48,20)+s(24,32,28)*+
t(24,24,12)s(40,32,20)t(24,40,28)s(24,32,20)*-+
s(40,40,20)s(24,48,12)-s(32,32,12)+t(40,40,20)*
s(24,24,28)c(32,24,20)c(40,24,20)s(8,8,12)+**
c(24,40,20)s(40,32,28)t(32,32,12)-t(32,24,20)-+
s(24,24,28)s(40,32,20)t(32,48,12)t(24,40,12)+++
s(16,24,20)s(40,16,20)t(24,32,28)c(24,40,20)*-+
c(24,40,20)s(40,24,28)c(24,32,20)t(48,48,12)+*+
t(32,24,20)s(32,24,20)c(16,16,12)s(8,40,12)+-*
t(32,40,28)s(24,32,28)*s(32,16,20)s(24,16,20)*-
c(40,40,20)c(40,32,20)s(40,48,12)-*c(32,40,20)*
c(24,24,20)c(24,32,12)-t(24,24,20)s(16,16,12)+*
s(32,24,20)t(32,32,28)t(24,32,12)-*s(32,48,20)+
s(40,24,20)s(32,32,20)t(24,16,12)s(8,48,12)+-*
t(24,24,20)s(24,32,20)*t(40,48,20)+c(32,40,20)*
c(40,32,20)c(24,32,20)s(16,32,20)*-s(48,48,20)*
c(24,32,20)s(32,40,20)s(48,40,20)*-s(40,24,28)*
s(32,32,28)t(16,40,12)-s(24,16,20)*t(48,32,12)+
t(24,24,12)t(32,24,20)c(24,40,12)+s(40,40,28)*+
t(32,48,20)t(40,24,20)+s(24,40,12)+s(32,16,12)+
s(32,24,28)s(32,32,28)s(32,48,20)+c(24,32,20)**
t(40,56,12)s(48,16,20)c(32,24,20)c(24,32,12)-*+
s(32,40,20)s(24,16,20)-c(32,24,12)s(24,48,12)+-
c(40,40,20)t(32,32,28)t(24,48,20)-t(24,48,20)+*
s(32,48,20)c(40,24,20)s(24,32,28)*+s(24,16,20)-
s(48,32,12)t(40,32,12)t(24,24,20)++s(32,40,12)-
s(48,32,20)c(40,24,12)t(24,48,28)++t(40,48,20)*
s(40,48,20)s(48,24,12)t(24,48,28)+s(24,16,12)+*
c(40,40,20)t(32,48,28)*s(40,48,20)c(24,32,12)-*
t(16,48,12)c(32,32,20)+c(24,40,20)t(16,24,12)-*
s(24,40,28)c(24,32,20)s(40,32,28)*c(24,32,12)+*
c(32,32,20)s(40,40,28)*s(48,40,20)t(32,40,28)*-
t(24,40,28)s(40,8,12)s(40,40,28)+t(32,48,28)**
s(32,40,20)s(40,40,28)c(24,40,20)s(8,8,12)+*+
c(24,32,12)s(24,24,20)t(24,40,12)s(16,32,12)+-+
c(32,24,20)c(32,40,12)t(40,40,20)+t(24,32,12)+*
c(24,24,20)c(16,24,12)-c(40,32,12)+c(48,48,12)+
s(32,40,20)c(32,32,28)s(16,48,12)-s(24,24,12)-*
s(40,32,28)t(32,16,12)-s(32,48,20)s(48,40,12)-+
s(24,32,28)s(24,32,28)s(40,24,28)-t(48,40,12)+*
s(24,32,20)t(48,24,12)s(16,32,20)+c(32,32,20)**
s(24,40,20)s(32,40,28)s(48,16,20)-c(24,40,20)**
c(24,24,20)s(16,48,20)-c(32,16,12)-c(32,24,12)-
t(24,40,28)c(48,40,12)s(32,40,20)+t(32,32,20)*-
c(32,40,20)s(24,32,28)s(40,32,12)s(40,16,12)++*
s(32,24,20)c(24,32,20)c(24,40,20)*t(32,40,20)*+
t(40,48,12)t(24,32,28)c(32,24,20)s(24,40,12)-*+
s(24,24,28)c(40,32,12)c(48,48,12)+t(32,40,28)*-
c(24,24,20)s(40,24,20)s(24,24,28)*t(32,48,20)+*
s(24,24,28)s(32,40,20)*t(24,40,28)+t(32,48,20)-
c(24,32,20)s(16,40,20)+s(16,24,12)-c(32,40,12)-
c(32,24,20)s(32,40,28)s(40,32,20)s(40,24,12)-*-
t(32,32,28)s(40,24,20)c(24,32,12)+*s(16,48,20)-
c(32,32,20)c(24,32,20)*t(32,32,12)-s(24,40,20)*
c(48,48,12)t(24,24,20)c(48,16,12)++c(48,40,12)-
c(16,32,12)c(48,16,12)+s(48,16,12)-s(40,32,12)+
s(16,24,20)s(24,40,28)*s(48,24,12)t(16,16,12)++
s(24,24,12)t(40,48,20)+c(32,40,12)s(32,8,12)+-
s(40,32,12)s(32,16,20)+s(8,8,12)c(32,32,20)+*
s(32,32,28)s(48,32,20)+s(40,40,28)*s(24,40,20)*
t(32,40,28)s(40,40,28)s(32,16,20)s(48,24,20)-+*
c(32,32,12)t(24,48,28)+s(32,40,28)s(40,32,28)**
c(48,16,12)s(40,24,20)+s(48,8,12)+c(32,40,12)+
s(40,48,20)s(32,40,20)c(32,40,12)c(16,16,12)+*-
s(32,24,20)s(40,32,28)s(40,40,20)s(24,40,28)*-*
s(8,48,12)s(24,16,20)t(24,32,20)-+c(32,32,20)-
s(24,24,28)s(40,24,28)t(32,32,28)+*s(32,40,28)*
s(40,32,20)s(48,32,20)+t(40,32,12)-t(40,40,12)-
s(32,48,20)t(32,32,12)-s(40,40,28)c(32,40,20)**
c(24,48,12)s(40,32,28)+t(24,32,28)*s(16,24,20)-
s(24,16,20)s(40,32,20)s(32,32,20)+c(40,24,20)*-
s(24,40,28)t(24,48,28)*s(40,24,20)c(24,24,20)*-
s(40,40,20)s(40,40,28)t(32,32,20)*s(40,48,12)--
s(24,40,28)c(40,40,20)s(32,32,20)*-t(32,24,20)+
t(24,40,28)s(32,24,28)t(24,16,12)-s(40,8,12)-*
c(32,40,20)s(40,40,20)+s(24,32,28)c(32,24,20)**
c(32,48,12)s(48,24,12)c(24,24,20)+s(24,24,12)-+
s(40,40,28)s(32,24,28)-s(32,32,28)c(40,40,20)*-
s(40,24,28)s(32,32,28)c(24,48,12)-*s(16,40,20)-
s(48,40,20)t(24,48,28)t(24,32,20)+-s(40,16,20)-
s(24,32,28)t(40,32,20)s(24,40,28)+t(32,32,28)-*
s(32,40,28)t(24,48,12)t(48,24,12)s(8,32,12)++*
s(24,40,28)c(24,32,20)c(32,32,20)**s(40,24,28)*
s(40,16,12)s(8,40,12)t(24,40,28)t(24,40,20)-++
s(24,40,28)s(24,32,28)c(40,40,20)*-t(24,32,28)*
c(32,32,28)s(48,32,12)-c(40,40,20)-t(24,40,20)-
t(40,40,12)s(32,40,12)+c(32,16,12)+c(32,24,12)+
s(24,48,20)s(24,40,20)c(32,32,28)s(48,24,20)*++
s(24,24,20)t(32,48,28)+s(32,32,12)-c(24,32,20)*
s(32,32,20)c(48,16,12)+s(24,32,28)*t(32,24,12)-
c(32,40,20)s(40,24,12)-t(24,40,20)-c(32,24,20)+
c(32,16,12)s(16,40,12)s(48,16,20)s(48,24,12)-++
s(24,16,12)s(32,32,20)s(32,32,28)t(16,40,12)-*+
s(40,24,20)s(24,24,28)s(40,16,20)c(32,32,28)***
s(24,32,28)s(32,40,12)s(16,48,20)+*s(32,40,28)*
s(48,24,20)c(24,16,12)t(32,32,20)+c(40,24,20)*+
t(48,16,12)t(32,24,20)+c(48,40,12)+s(48,48,12)-
s(48,40,20)s(40,32,12)s(40,48,20)+t(48,56,12)-*
t(24,32,28)t(24,48,28)s(40,48,20)t(32,40,28)*+-
s(32,24,20)s(48,40,20)-t(32,48,20)c(32,16,12)++
s(32,32,20)c(48,24,12)-s(16,40,20)+s(48,8,12)+
s(40,16,20)t(32,48,20)t(24,40,28)c(32,40,20)**+
c(32,24,20)t(40,32,20)*s(48,40,12)+t(32,48,12)+
t(32,40,28)c(40,40,20)t(32,32,20)+*s(16,16,20)+
s(16,8,12)t(32,32,20)c(24,16,12)++s(24,24,20)*
t(24,40,28)t(32,24,20)-s(24,32,28)s(24,48,12)-*
t(24,24,20)c(40,16,12)+s(32,24,28)s(24,16,20)**
t(32,48,20)t(32,32,28)s(32,16,20)-t(40,48,20)--
s(40,24,28)t(16,56,12)s(16,24,20)+-t(32,24,20)-
c(32,24,20)c(16,16,12)s(32,16,12)c(32,40,12)++*
c(24,16,12)s(40,40,20)s(32,24,20)s(24,32,28)*-+
s(40,24,28)s(24,24,20)s(16,16,20)c(32,32,20)-+*
t(24,40,28)t(48,40,12)+s(40,40,28)c(24,24,12)-+
s(16,24,20)t(32,16,12)+s(24,48,20)-s(16,16,20)+
s(40,32,28)s(32,24,28)*s(40,40,12)-s(40,8,12)+
t(32,32,12)s(8,24,12)+c(24,24,20)s(32,16,12)-+
t(40,24,20)s(24,24,28)+s(24,32,28)+c(16,48,12)-
s(24,48,20)c(48,48,12)+t(32,40,28)s(24,48,20)*-
s(24,32,28)s(40,32,28)s(32,32,28)*c(24,24,20)*-
s(8,32,12)s(48,8,12)t(40,24,20)++t(40,32,12)-
s(24,24,28)s(24,40,28)t(32,40,12)-*t(32,24,20)-
t(24,48,28)s(48,40,20)s(48,48,20)*-t(24,40,28)*
s(40,32,20)t(48,32,12)-c(48,24,12)-s(48,40,20)+
t(24,48,20)t(40,40,20)+s(32,24,20)t(32,40,28)*-
s(16,24,20)c(24,40,20)t(32,48,28)s(24,8,12)+--
s(24,24,20)c(16,40,12)+c(32,40,12)-s(24,8,12)+
c(32,24,12)s(16,24,12)s(24,48,20)++t(24,24,20)*
s(24,48,20)s(16,40,20)*s(40,32,28)+s(48,16,12)-
s(24,32,28)t(48,16,12)+s(24,48,20)s(48,32,12)++
s(40,24,20)s(40,40,28)t(24,40,20)-t(48,48,12)--
c(40,40,20)s(48,24,12)-c(32,32,20)*t(32,48,28)*
t(24,48,28)c(40,40,20)t(40,48,20)--c(40,32,20)-
s(48,16,12)c(24,32,20)s(40,24,20)*s(16,24,12)++
c(40,16,12)c(48,32,12)+s(32,40,20)s(40,48,20)*-
s(8,8,12)t(24,48,28)t(16,40,12)s(8,24,12)+++
t(24,16,12)t(24,32,20)+s(16,16,12)-t(32,24,12)-
c(32,32,20)t(32,48,28)s(24,32,12)+t(40,24,20)+*
c(24,16,12)t(32,40,28)t(24,32,28)t(24,48,20)+*+
s(32,32,28)s(24,32,12)-s(32,40,28)s(48,40,20)*-
s(24,48,20)s(32,16,20)+t(32,48,28)t(24,24,20)-*
s(32,24,20)t(24,32,28)*t(32,32,12)s(24,32,12)++
s(48,48,12)s(24,24,28)t(32,32,28)t(32,16,12)--+
t(32,24,20)t(24,48,28)-t(32,48,28)s(24,40,28)*+
s(24,40,20)t(32,48,28)s(24,40,28)*c(40,40,20)**
t(40,32,20)s(40,32,28)s(32,24,28)t(32,32,28)***
t(24,48,28)s(32,24,12)t(40,48,12)+-c(24,32,20)*
s(24,40,28)s(32,32,28)s(24,24,20)*-t(32,48,28)-
s(40,24,28)s(40,32,28)c(40,40,20)**c(48,40,12)-
c(32,32,12)s(24,24,20)s(40,40,20)-+s(32,48,20)-
s(24,48,20)s(32,32,20)t(32,24,20)+s(16,48,12)+*
s(32,24,20)t(40,48,12)+s(32,40,28)*t(32,40,28)+
s(48,24,20)t(32,32,28)s(40,40,28)t(32,40,28)**+
t(32,24,20)s(40,16,12)-t(40,40,20)+s(40,32,20)*
t(24,32,28)s(24,24,20)s(32,48,20)s(48,48,20)--*
c(24,40,20)t(32,40,20)s(48,24,20)s(16,24,12)++*
s(24,40,20)s(16,16,20)s(24,32,28)*t(24,48,28)+*
s(40,24,28)s(32,24,12)s(48,32,12)+-s(24,24,28)*
s(24,24,28)s(32,40,20)c(32,32,20)*+c(32,40,20)*
c(32,24,12)s(24,32,20)+c(24,32,12)c(32,16,12)+*
t(24,32,28)s(16,48,12)+s(32,40,20)-s(16,48,20)+
s(24,32,20)s(32,32,20)*s(32,48,20)+s(32,40,28)*
t(32,32,28)t(32,16,12)s(40,32,20)+t(40,48,20)-*
t(24,48,20)s(16,48,20)t(32,48,28)c(24,32,20)+**
c(24,24,12)t(32,48,12)c(16,16,12)++s(16,48,12)+
s(32,24,28)s(8,32,12)s(16,32,12)++s(16,40,20)*
s(40,40,20)s(40,48,20)*s(32,32,12)+c(40,24,12)-
s(40,24,28)t(40,24,20)s(48,8,12)+-s(24,24,28)*
t(24,40,28)s(32,32,28)s(32,24,28)**s(16,32,20)*
s(32,24,20)s(40,16,12)t(32,56,12)+-c(16,24,12)-
c(24,32,20)s(24,24,28)*t(32,32,28)*s(24,40,28)*
s(40,40,12)s(16,24,20)s(32,16,12)-s(24,32,28)*+
t(24,40,28)s(32,40,20)s(24,32,28)*-s(24,32,20)+
s(32,24,20)t(48,16,12)t(24,40,20)+c(32,32,12)--
s(40,24,28)s(24,40,20)+s(48,16,20)*s(16,24,20)+
s(40,24,20)s(40,40,28)*s(16,16,20)c(32,32,20)+*
s(32,40,28)t(24,24,20)s(40,32,12)+s(16,40,20)-*
s(16,32,20)s(24,32,28)s(16,40,20)t(40,48,12)+**
t(32,40,20)c(24,16,12)s(40,16,20)+s(32,32,20)+*
s(32,48,20)s(40,40,20)s(32,24,28)c(32,40,20)**+
s(24,16,20)s(16,24,12)t(16,40,12)+-c(24,32,12)-
t(40,32,20)s(40,40,12)s(48,16,20)s(32,24,28)*+*
t(40,24,20)t(24,40,28)s(40,24,12)+t(24,48,28)-+
s(48,16,20)s(40,40,28)s(48,32,12)-c(24,24,20)*+
c(48,40,12)s(32,40,20)t(40,32,20)-t(24,24,12)++
c(24,24,20)s(32,32,28)*t(32,40,12)s(24,16,12)+-
t(32,32,28)s(40,24,28)*c(40,40,20)c(48,48,12)-*
s(32,24,20)t(32,56,12)s(48,16,12)++t(32,48,28)*
s(16,48,20)t(32,48,28)*t(40,48,12)+s(48,40,12)-
s(16,32,20)t(16,40,12)-s(40,32,28)t(24,40,20)++
t(24,48,12)s(24,40,28)c(32,32,20)+s(48,24,20)*+
s(32,16,20)c(40,40,20)+c(24,32,20)*s(16,24,20)+
s(16,32,20)c(16,48,12)+s(32,32,20)s(48,32,20)*+
s(16,16,12)s(40,24,20)+t(32,32,28)c(32,40,12)-*
t(24,48,28)s(24,32,20)t(32,48,28)t(24,40,20)-+*
t(32,32,28)s(16,48,20)-s(32,16,12)s(40,48,20)+*
c(16,32,12)c(40,32,12)+s(32,32,20)*s(48,40,12)-
t(32,48,28)t(40,56,12)-c(24,32,20)s(32,40,20)*+
c(24,32,20)s(32,24,28)t(24,32,20)--t(32,16,12)+
s(32,40,20)c(40,40,20)*c(32,24,20)*s(32,24,20)+
t(24,32,20)t(16,24,12)-t(48,24,12)+s(48,32,20)-
c(40,40,20)s(32,40,28)*s(48,24,20)-s(32,40,20)*
s(16,16,20)s(24,24,20)s(16,8,12)s(16,32,20)+**
s(16,16,20)s(24,24,12)s(40,16,20)+t(48,16,12)--
c(16,32,12)s(40,24,20)s(24,24,28)s(32,16,12)--+
c(24,32,20)t(24,32,28)t(40,48,20)-*c(16,16,12)-
s(16,32,12)c(40,24,12)+s(40,24,28)+s(24,32,20)*
c(40,24,20)s(24,32,20)t(24,40,20)s(16,24,12)-+-
c(48,40,12)t(16,40,12)+c(16,16,12)+t(40,40,20)-
c(16,32,12)c(48,40,12)+s(40,40,28)+s(24,24,20)*
c(40,40,20)c(40,24,12)c(40,40,12)+*c(40,24,20)*
c(40,40,12)t(24,24,20)+t(16,40,12)c(32,32,12)+-
c(32,24,20)s(40,16,20)c(32,32,20)s(48,48,20)-+*
s(24,32,28)s(24,32,20)s(32,24,12)--s(32,32,28)*
t(24,32,28)c(48,24,12)+s(40,32,12)c(32,48,12)++
s(40,24,28)s(32,24,28)+s(40,40,20)t(32,32,28)**
s(32,24,28)s(24,24,12)c(16,40,12)+s(32,16,20)--
s(40,48,20)c(48,24,12)+s(48,8,12)s(24,16,20)++
s(48,40,20)t(24,40,28)s(32,48,20)s(32,40,20)**-
s(32,32,28)s(16,8,12)s(32,40,28)+*s(40,24,20)*
s(40,16,12)t(16,56,12)+t(40,24,12)+s(16,16,12)+
c(40,24,20)s(24,16,20)c(32,40,20)c(24,32,12)-+*
s(40,32,28)s(32,32,20)s(40,24,28)*s(32,16,20)+*
c(40,48,12)s(24,48,20)c(32,32,28)*+s(8,16,12)+
s(16,48,20)c(40,40,12)+s(24,24,20)+s(24,24,28)+
s(32,40,28)t(32,24,20)-t(32,48,28)s(40,40,20)--
s(32,32,20)s(24,24,28)s(40,40,20)t(32,48,28)*-*
s(32,40,20)c(48,32,12)-c(48,32,12)+c(40,32,20)*
c(48,32,12)c(40,48,12)+t(40,48,20)*s(24,48,12)+
c(48,24,12)t(40,24,20)+t(32,32,28)t(40,32,12)-+
t(24,40,28)s(8,48,12)-t(32,56,12)t(32,24,12)+-
t(16,40,12)t(32,40,28)s(24,32,20)*+t(16,32,12)-
s(40,48,20)c(32,32,28)s(40,40,28)s(24,48,20)-*-
s(16,40,20)s(32,40,28)s(24,24,28)*c(32,40,20)+*
s(24,16,20)t(16,24,12)-s(32,32,20)c(32,16,12)+*
s(40,32,28)t(32,48,28)t(40,32,20)--s(40,48,20)+
s(24,16,20)c(40,24,20)c(24,40,20)t(24,48,28)*--
s(24,32,20)s(32,24,20)*s(24,24,28)s(32,40,28)--
t(24,48,28)s(24,40,28)*s(24,32,20)*s(24,24,20)+
t(40,24,20)s(24,32,12)+t(16,40,12)+c(24,24,20)*
c(24,32,20)s(48,32,20)s(32,40,20)t(40,40,20)-+*
s(24,40,20)s(16,16,20)-t(32,32,20)t(40,40,12)+-
s(48,32,20)c(32,24,20)-t(32,48,28)s(16,40,12)++
c(32,32,20)s(16,40,20)+c(32,24,20)s(24,24,28)*-
s(40,40,28)s(40,48,12)-c(24,40,20)s(24,24,20)-+
s(32,24,12)c(16,32,12)s(32,48,20)c(32,40,12)-++
c(24,32,20)c(40,16,12)-c(40,32,12)-s(32,48,12)-
s(40,40,28)s(24,32,20)*c(48,40,12)+s(32,32,20)*
c(40,32,20)s(48,32,20)*c(48,16,12)c(40,40,12)+*
t(32,40,28)s(24,40,28)s(32,16,20)-*s(40,40,28)*
c(32,24,20)c(40,24,20)s(24,24,12)-+t(24,40,28)*
c(32,24,20)s(16,24,20)-s(32,32,28)*t(32,48,20)+
s(40,24,28)c(16,48,12)s(48,24,12)++s(32,24,20)-
s(40,40,28)t(24,48,28)s(16,40,12)-*t(32,48,28)*
s(24,24,20)s(32,32,28)t(24,40,20)-t(16,16,12)--
t(24,40,28)s(40,32,12)c(16,16,12)+-t(16,48,12)-
s(40,40,28)t(48,40,12)s(32,48,20)t(24,32,28)-+-
c(24,48,12)s(48,40,12)c(40,48,12)+s(8,40,12)++
c(24,40,20)t(32,40,12)-t(24,32,12)-s(40,40,12)-
s(32,32,28)t(32,40,12)s(24,48,12)+s(32,24,20)+*
t(32,32,20)s(40,32,20)*c(24,24,12)+s(24,32,20)*
c(16,48,12)t(32,32,28)+c(40,40,20)s(32,48,20)*-
s(32,32,28)s(32,40,28)c(40,40,20)*s(24,40,12)-+
c(40,48,12)s(24,40,12)+c(16,48,12)-s(32,40,20)*
s(40,40,28)t(24,48,28)s(32,40,20)*t(16,24,12)+-
t(32,24,20)s(24,32,12)+s(40,32,28)s(24,48,20)-*
c(24,24,20)s(16,32,20)-s(48,48,12)s(24,16,20)+*
c(24,24,20)s(40,24,28)*t(40,40,12)+s(32,32,20)*
t(40,40,20)t(24,40,28)t(32,16,12)t(24,32,20)+*-
t(32,40,20)s(32,16,20)s(24,24,28)c(16,24,12)-*-
t(24,40,20)c(32,24,20)s(24,32,20)-t(24,32,28)+*
s(32,48,12)t(16,56,12)+s(32,48,20)*s(48,24,20)+
t(24,48,12)s(48,48,20)s(32,32,20)+t(24,32,20)*+
t(40,48,20)t(48,32,12)+t(32,32,28)t(48,40,12)--
c(32,32,28)s(40,24,12)t(24,48,28)t(32,48,28)*+-
t(40,48,20)c(40,24,20)c(24,32,12)-s(32,16,20)--
c(40,40,20)c(24,24,12)-c(32,24,20)-s(8,16,12)+
s(32,24,28)s(16,32,12)t(24,40,12)t(24,32,20)++*
s(32,32,28)s(24,24,28)+s(24,32,20)-c(32,40,12)-
s(48,24,20)c(32,24,20)*s(24,48,12)s(32,40,12)+-
s(32,40,28)s(32,24,28)s(16,24,20)s(24,40,12)-+*
t(48,48,12)s(40,16,20)+s(32,40,28)s(32,32,28)**
c(32,32,28)c(40,40,20)t(24,48,20)+c(32,48,12)-*
s(40,32,28)s(48,48,20)c(32,40,20)*-s(48,48,20)-
s(16,48,20)s(32,32,20)t(24,32,20)*c(48,16,12)+-
s(32,8,12)s(40,48,20)s(32,24,12)++s(40,40,20)*
t(40,32,20)t(24,40,28)t(32,32,28)*+c(16,32,12)-
s(40,24,28)t(32,48,20)c(40,40,20)*s(48,16,20)+*
c(24,40,20)t(32,56,12)-t(24,48,20)-s(48,48,20)-
t(32,40,20)t(40,32,20)s(48,16,12)-+t(40,24,20)+
s(32,40,28)s(24,32,28)t(48,16,12)+s(32,40,28)-+
t(24,40,28)s(48,16,12)+s(16,32,20)*s(24,24,28)*
s(24,40,28)t(48,24,12)s(24,32,28)+*t(24,48,28)*
c(32,32,28)s(32,40,28)s(16,40,20)-s(48,32,20)+*
s(32,32,28)t(40,16,12)s(32,40,28)s(40,40,12)-+-
s(32,24,28)c(32,32,28)s(40,40,12)-*c(32,40,12)-
c(32,32,28)t(32,48,12)s(16,16,12)+c(24,40,12)--
s(24,24,28)c(32,32,20)*s(32,48,20)s(16,40,20)-+
s(24,32,20)s(24,24,20)t(24,24,20)c(40,24,12)+**
c(32,32,28)s(48,24,20)s(40,16,20)+*c(40,24,12)-
t(40,48,20)s(24,32,20)-s(32,16,12)s(24,48,12)++
s(16,8,12)s(24,32,20)s(16,40,20)-+c(32,16,12)-
t(32,32,28)s(32,40,20)*t(48,24,12)+c(24,24,20)+
c(24,32,20)s(48,40,20)+s(24,40,28)*s(8,32,12)-
s(48,32,20)c(32,24,20)+s(24,24,20)t(24,40,20)-*
s(40,32,20)t(24,40,28)c(24,40,20)+-s(8,16,12)+
s(24,40,28)c(32,24,20)t(48,24,12)s(48,40,12)+-*
t(32,40,28)s(32,24,28)s(24,32,28)t(32,48,20)-**
t(24,32,28)s(40,32,28)s(48,32,20)--s(24,32,28)*
s(24,24,28)s(24,40,28)c(40,32,20)*c(24,40,20)**
c(40,32,20)s(24,32,28)s(32,40,20)**s(40,40,20)*
s(32,24,28)t(32,16,12)t(16,24,12)+-t(40,32,20)*
s(40,32,28)c(16,32,12)t(32,56,12)c(40,24,20)++-
c(24,40,20)s(24,32,28)s(40,40,20)*s(32,24,20)+*
c(40,32,12)s(40,32,28)s(40,48,20)*s(16,40,12)++
s(40,32,28)c(24,32,20)*t(32,40,20)s(24,40,12)+*
s(16,16,20)s(24,40,20)+c(40,40,12)+s(24,32,28)+
s(40,48,12)s(16,48,20)+c(24,32,20)*s(16,48,20)*
s(32,40,20)s(8,16,12)+s(32,24,20)*t(40,56,12)+
c(32,40,20)t(24,40,28)*c(16,16,12)+t(24,48,28)*
s(24,40,28)t(48,48,12)+s(24,24,20)*s(16,16,12)+
s(32,16,20)s(16,24,20)-s(48,8,12)t(32,32,12)+-
c(24,32,12)c(24,24,20)s(24,48,20)t(32,32,12)--+
c(24,24,20)s(40,16,20)s(32,40,28)s(16,40,12)-+*
s(16,32,12)s(40,40,28)s(40,24,20)t(24,16,12)+-+
s(24,32,28)t(24,32,28)s(24,32,12)-s(40,24,20)--
s(16,40,20)t(40,40,20)+s(48,40,20)s(32,32,28)**
s(48,40,20)c(40,32,20)*s(24,24,20)c(24,40,20)*-
s(48,48,12)s(32,8,12)+t(32,32,12)+t(32,48,28)-
c(40,32,12)s(8,24,12)s(32,32,12)+s(48,16,20)-+
t(48,32,12)s(24,24,28)c(16,40,12)-+s(16,24,12)-
s(24,40,28)c(32,32,28)c(24,40,12)-s(40,32,20)*-
t(32,48,28)s(40,32,20)+s(24,32,28)c(24,24,20)+-
s(24,16,20)c(24,32,20)t(24,48,12)-c(32,48,12)--
s(32,24,28)c(40,24,20)t(32,40,20)--s(40,24,28)*
s(24,40,28)c(32,32,20)c(24,32,12)--s(24,32,20)*
t(24,32,28)t(48,16,12)+c(40,32,20)*s(8,32,12)+
c(32,32,28)c(24,16,12)-t(24,40,28)t(24,48,28)**
c(40,32,20)c(48,48,12)c(40,32,20)c(24,24,12)-+*
c(32,32,20)t(40,32,12)-s(24,40,20)*c(40,32,12)-
s(24,24,28)s(32,16,20)-c(24,40,20)t(48,32,12)+*
s(32,48,20)s(48,32,20)s(40,40,20)*-s(16,32,12)+
s(40,40,20)s(24,24,20)c(40,32,20)+*s(24,40,28)*
c(32,40,20)s(40,48,12)-c(24,32,20)s(48,32,12)+*
c(32,32,20)s(24,32,28)*s(16,48,20)t(24,32,12)--
s(40,16,20)c(32,40,20)-t(40,24,20)+s(40,16,12)-
s(24,32,12)s(40,16,20)+t(16,24,12)+s(40,24,28)*
s(40,24,20)t(24,24,20)t(16,32,12)+t(40,32,20)++
s(24,40,20)s(48,24,20)s(40,24,20)*s(32,24,20)*+
t(24,48,28)c(24,40,20)t(16,48,12)-*t(24,40,28)*
s(40,8,12)s(40,16,12)c(24,24,12)++c(24,32,20)*
s(40,24,28)s(32,32,20)s(16,24,20)-*s(24,24,20)+
c(24,24,20)s(32,24,20)s(40,32,28)*-s(32,24,28)*
t(32,48,20)s(16,32,20)s(32,32,28)t(40,48,20)-*+
s(32,24,28)s(24,40,28)c(16,40,12)--s(32,16,20)*
c(40,40,12)t(24,16,12)+c(48,48,12)+c(32,24,20)-
c(32,40,20)c(40,32,12)-t(24,32,20)+s(48,40,20)-
s(24,24,28)t(24,16,12)-c(40,24,12)-t(24,32,28)*
c(32,32,28)c(16,16,12)t(32,40,28)+*t(40,40,20)*
s(24,32,20)t(24,24,20)t(24,32,28)t(32,40,28)*++
s(24,40,20)t(32,48,20)+t(32,56,12)-t(24,40,20)-
c(24,40,20)c(24,40,20)s(32,24,28)-s(40,48,12)+*
c(24,32,20)t(32,40,28)s(16,24,20)-*c(40,24,20)+
c(32,32,28)s(24,24,20)s(24,48,20)--c(40,16,12)-
s(40,40,28)t(24,40,28)s(24,32,20)*c(16,16,12)--
s(40,24,28)s(32,40,20)t(24,40,20)--c(24,40,12)-
s(40,24,20)s(40,32,28)s(32,40,20)c(32,32,12)--*
s(32,16,20)c(32,32,20)c(40,40,20)s(48,40,12)-*-
s(48,48,20)s(40,32,20)-s(8,40,12)+t(48,48,12)-
t(32,40,28)t(32,48,20)-c(40,40,20)c(40,24,12)-+
s(32,16,20)c(32,40,20)t(48,48,12)--s(48,24,12)-
s(24,24,20)s(32,48,12)s(16,32,12)+-t(24,32,28)+
s(8,8,12)t(32,40,28)+s(48,48,12)-t(32,40,28)*
c(32,32,28)t(40,32,20)-s(32,32,28)*c(16,32,12)-
t(32,48,28)t(48,40,12)s(16,48,20)+c(24,32,20)*+
c(40,32,20)s(48,24,12)-t(32,40,20)+t(24,40,28)*
t(48,24,12)c(24,24,20)s(40,40,28)*+c(48,32,12)-
c(40,16,12)c(16,32,12)+s(48,16,20)s(40,24,20)+*
s(32,24,28)s(40,40,28)s(24,32,28)*s(32,24,20)+-
c(40,40,20)c(16,32,12)c(48,32,12)+c(24,48,12)+*
s(8,48,12)s(40,48,20)+s(16,48,20)*t(24,24,20)+
s(32,16,20)c(32,24,20)s(24,32,12)c(48,16,12)++*
c(40,24,20)c(32,24,20)*t(32,40,20)s(24,40,12)++
t(32,24,20)t(24,48,20)t(24,16,12)+t(32,48,20)--
t(16,48,12)t(24,40,12)t(24,16,12)++s(48,24,12)+
s(16,16,20)s(16,16,20)s(24,24,28)*t(48,16,12)+*
s(40,40,28)c(40,24,12)t(24,40,28)c(24,32,20)*+*
t(32,32,28)s(40,32,20)*t(24,40,20)+c(24,40,20)*
s(32,40,20)s(32,48,20)+c(32,32,20)*t(40,40,20)*
c(24,40,20)c(40,32,20)s(16,48,20)t(48,48,12)+-*
c(48,24,12)t(32,24,20)c(32,32,28)s(24,40,12)-*+
s(24,40,28)t(32,32,28)s(24,32,28)t(24,24,12)-+*
s(24,40,20)s(16,32,20)*s(24,24,28)c(24,32,20)**
t(24,32,12)s(40,48,20)s(40,24,12)+s(40,40,12)-+
s(40,32,20)c(48,40,12)t(24,32,12)+c(32,40,12)+*
c(32,24,20)c(40,24,20)t(32,24,12)-*s(48,24,20)*
c(32,40,20)s(40,40,12)-t(24,56,12)c(40,16,12)+-
s(40,48,20)t(32,40,28)*c(48,32,12)+t(32,32,28)-
s(24,40,20)s(40,40,28)c(24,32,20)**c(40,16,12)+
s(40,32,20)t(40,56,12)t(48,16,12)t(32,40,12)++-
c(24,16,12)s(24,40,28)+c(32,40,20)t(40,32,12)-*
t(40,16,12)c(32,32,28)s(32,48,20)*+t(32,32,20)+
s(40,32,28)s(32,40,28)s(32,32,28)**s(16,24,12)+
c(32,40,20)s(40,48,20)-t(40,40,12)+s(16,16,20)-
s(16,40,20)c(40,24,12)+s(16,16,12)s(24,40,20)++
s(40,48,20)s(48,24,20)-c(40,24,12)t(24,40,12)+-
s(40,40,20)s(40,32,28)s(48,48,12)-*t(24,48,20)-
s(48,16,12)s(32,40,20)t(40,24,20)-+c(48,48,12)-
t(32,32,28)c(40,40,12)s(16,16,12)+s(8,48,12)+-
s(16,8,12)t(24,40,20)+s(40,32,20)c(32,24,20)*-
t(40,32,20)s(32,40,20)+c(40,24,20)s(24,16,12)--
s(16,40,20)s(32,48,20)s(32,16,12)+s(32,16,20)+-
c(24,24,20)s(40,16,20)*s(32,40,20)t(24,40,20)*+
c(16,48,12)s(40,16,12)s(16,40,20)c(32,48,12)-++
s(40,16,20)s(48,8,12)-c(32,24,20)c(40,24,20)**
c(32,24,20)t(32,40,12)-s(16,24,12)s(40,40,20)+*
s(8,32,12)s(32,24,20)s(40,32,20)t(32,32,20)--+
c(32,24,20)s(40,40,28)s(24,48,12)-t(32,24,12)--
s(32,40,20)c(32,32,20)*t(24,24,12)+c(24,32,20)*
s(32,16,20)c(32,32,20)t(24,32,20)-s(40,40,20)*+
c(24,32,20)t(40,48,20)-c(48,16,12)+s(32,24,20)*
s(32,16,12)s(24,48,20)+t(32,40,20)+s(24,32,28)*
s(40,40,20)t(24,48,20)c(32,32,20)+*s(32,32,20)*
t(32,48,28)s(24,48,20)+s(48,48,20)-s(40,48,20)-
s(40,40,28)s(32,40,28)*s(40,40,28)c(32,24,20)-*
s(16,16,20)c(32,40,20)s(16,32,20)c(24,40,12)+*+
s(24,16,12)s(32,32,28)c(40,24,20)*+s(16,24,20)-
s(40,32,20)c(24,40,12)c(48,24,12)+s(32,24,28)*-
c(40,24,12)t(32,16,12)c(24,32,12)++t(32,32,12)-
s(40,32,20)s(16,24,20)+t(32,40,28)s(48,8,12)+-
c(40,32,20)s(16,24,12)s(40,24,20)++s(24,24,20)*
c(40,40,20)c(32,32,20)t(40,32,12)-s(48,40,20)-+
s(32,24,28)c(24,32,20)s(24,48,20)--s(48,32,12)-
s(24,48,20)s(24,24,28)s(48,16,20)-s(40,40,28)-+
s(16,48,20)s(48,32,12)+c(16,48,12)t(40,40,12)+*
c(32,40,20)t(24,48,28)c(48,16,12)+*s(16,40,20)*
t(40,32,20)s(40,24,20)c(32,24,20)*+s(48,24,12)-
s(48,32,20)s(40,32,20)s(32,32,12)-*t(16,40,12)+
s(48,32,20)t(16,40,12)+s(16,40,12)s(8,40,12)+-
s(32,24,20)c(48,48,12)s(32,8,12)s(32,40,12)++-
t(16,48,12)c(32,32,28)s(32,48,20)*s(32,32,28)*+
c(40,32,20)c(32,32,20)s(40,48,12)+c(24,48,12)+*
c(40,48,12)s(24,16,20)t(32,48,28)+s(40,40,20)*+
t(40,48,12)s(40,40,20)c(32,48,12)-+s(40,32,12)-
t(24,32,12)s(40,40,20)+t(32,48,28)*c(48,48,12)+
t(40,40,20)s(16,24,20)+s(24,32,28)c(40,32,20)**
t(24,48,28)t(24,32,28)c(48,16,12)+c(32,40,12)--
s(32,32,28)t(32,32,20)-c(40,16,12)-c(16,40,12)-
c(24,24,20)t(32,48,28)t(24,24,20)+*s(32,32,20)*
c(48,32,12)s(8,8,12)s(32,16,20)++c(32,24,12)-
s(24,32,28)s(32,32,28)t(32,40,28)s(24,40,28)*-*
t(48,40,12)s(24,40,28)+s(24,48,12)t(32,56,12)+*
s(32,24,28)s(32,40,20)c(32,32,20)t(40,48,12)-+*
s(16,24,20)s(32,40,28)s(40,32,28)*-s(8,40,12)-
c(32,40,20)t(24,48,28)s(24,24,28)t(24,48,20)+**
t(24,24,12)s(48,48,20)t(24,32,28)s(40,32,20)*-+
c(32,24,20)s(48,16,20)s(24,24,12)s(8,8,12)++*
t(24,40,20)t(40,24,20)+t(40,48,20)+s(24,24,12)+
s(32,48,20)c(40,32,20)t(24,32,28)*c(40,24,20)*-
c(24,24,20)s(24,16,12)s(32,48,20)t(32,32,12)-+*
c(32,32,28)s(32,32,28)s(24,16,20)t(24,48,28)++*
s(40,32,20)t(24,48,20)s(16,40,20)+-c(32,32,20)*
s(32,40,20)s(40,40,20)t(40,48,12)-+s(40,48,20)*
t(40,32,20)s(24,8,12)+t(24,32,28)c(40,24,12)-+
s(32,32,28)s(48,24,20)c(32,48,12)+*s(40,48,12)-
t(48,32,12)s(24,24,28)+s(48,32,20)s(32,40,12)+*
t(32,40,28)t(48,24,12)s(32,40,20)c(24,40,20)*+*
t(32,48,28)s(40,16,12)c(24,24,12)+s(32,24,20)*+
t(32,40,20)s(24,8,12)t(40,32,20)+s(48,32,20)*-
s(48,40,20)c(16,48,12)+t(32,24,12)+s(40,32,28)*
s(40,40,28)s(48,32,20)s(24,24,20)-s(48,40,20)**
t(16,40,12)s(40,8,12)+c(32,24,20)s(32,40,28)*+
t(32,48,12)s(24,32,28)s(32,24,28)*+t(24,32,12)-
c(16,48,12)c(40,24,20)c(40,40,20)t(48,32,12)-*+
c(40,24,20)c(16,16,12)s(48,48,12)+c(40,24,12)+*
s(32,16,20)s(40,32,28)c(40,32,20)s(24,24,28)---
t(48,48,12)s(32,8,12)t(40,16,12)s(24,24,20)+++
c(24,24,20)c(48,40,12)+s(32,24,28)c(40,32,20)*-
s(48,32,20)s(32,40,20)c(16,24,12)+s(24,40,28)*+
s(16,16,12)t(16,24,12)c(32,40,20)+t(32,24,20)-+
c(32,32,20)s(24,32,28)t(16,16,12)-t(24,40,20)-*
s(32,32,28)c(16,48,12)s(40,40,20)t(48,24,12)++*
s(40,32,20)t(24,40,20)-t(32,32,28)*c(32,40,20)*
c(32,24,12)s(48,32,20)t(24,32,20)c(48,32,12)+*+
c(24,40,20)s(48,16,20)+t(16,32,12)-t(24,32,20)-
s(40,24,28)s(24,32,20)+s(40,24,20)-c(16,40,12)+
s(24,16,20)t(32,48,28)t(24,48,28)+-s(24,32,28)*
s(40,48,20)t(48,16,12)+c(16,40,12)+t(32,48,20)*
t(24,40,28)s(32,24,12)+c(24,16,12)-s(40,24,12)+
s(32,32,28)t(16,16,12)c(16,24,12)+s(40,32,20)+*
s(32,32,28)c(40,40,20)*s(32,48,12)t(48,56,12)++
s(40,24,20)t(40,24,12)s(40,24,28)s(40,32,20)-+*
s(40,32,12)c(16,48,12)+c(40,32,12)+t(32,40,28)*
s(16,32,12)s(32,40,28)s(16,24,20)s(24,40,28)*-+
s(40,40,28)s(48,24,20)s(40,48,20)+*c(48,16,12)-
t(40,32,12)s(32,24,20)s(24,24,20)*+s(24,16,12)-
s(40,32,20)s(16,40,20)c(32,24,12)+-s(24,32,20)-
s(16,32,20)s(24,16,20)t(16,24,12)-s(24,24,20)*-
s(24,24,20)t(24,32,28)*s(24,24,20)c(32,24,20)**
s(16,16,12)s(40,16,20)s(24,24,28)c(16,24,12)--+
t(32,16,12)t(32,24,12)+s(8,40,12)+s(8,8,12)+
s(48,16,20)s(32,40,20)c(32,32,20)*t(32,16,12)+-
s(24,32,28)s(32,48,20)s(24,40,20)s(8,48,12)-**
c(32,16,12)s(16,16,20)+s(32,24,28)c(48,24,12)-+
s(16,16,20)s(40,40,28)s(24,48,20)*s(16,40,20)+-
c(40,40,20)s(40,32,20)c(24,32,20)**s(32,48,20)+
t(24,32,28)c(40,24,20)-s(16,32,20)s(16,40,20)**
t(48,56,12)s(8,48,12)s(40,24,20)++c(32,32,20)*
s(8,24,12)t(16,16,12)+s(40,24,28)+c(40,32,20)*
s(32,32,28)t(16,16,12)s(32,32,28)s(40,48,20)*+*
t(40,32,20)s(32,32,20)s(32,24,20)*s(48,32,12)+*
t(32,48,20)s(48,40,12)+t(24,32,12)s(32,48,20)+*
s(24,40,28)s(24,32,28)s(32,16,20)-c(32,40,20)*-
s(32,24,20)c(16,16,12)+s(24,40,28)*c(40,24,20)*
s(16,32,20)s(8,40,12)t(32,32,12)+c(24,40,12)+*
c(48,40,12)t(48,40,12)s(8,32,12)++s(24,48,20)-
s(16,16,20)s(32,32,20)+t(40,32,20)s(32,32,20)*-
s(32,32,28)s(24,32,20)t(32,48,20)+*s(16,16,12)-
t(32,40,28)s(24,24,20)t(32,32,28)+*c(24,40,20)*
c(24,40,20)t(24,24,20)s(24,40,28)c(40,40,20)*+*
s(24,32,28)t(32,40,28)s(24,24,20)+*t(40,32,20)+
s(24,40,28)t(40,40,12)-t(32,40,20)s(40,40,12)+-
s(40,32,28)c(40,40,20)*c(32,32,20)+s(48,48,20)*
s(32,32,20)c(32,24,20)c(24,24,20)*s(40,48,20)-*
c(24,32,20)s(32,40,12)-t(24,32,28)s(16,40,20)*-
t(24,24,20)c(40,16,12)+s(32,24,28)s(40,16,12)-*
c(24,24,20)c(16,24,12)-s(16,16,12)+t(32,40,12)-
s(40,40,28)t(48,40,12)-t(24,40,28)*s(40,40,12)-
s(40,32,28)c(24,48,12)s(24,40,20)s(40,40,28)*+*
t(16,24,12)s(40,8,12)s(8,32,12)c(48,16,12)+++
t(32,40,28)s(8,8,12)+s(16,24,12)+s(24,48,20)*
s(16,48,20)s(24,32,28)s(16,48,20)+c(32,40,20)**
s(24,40,28)c(32,16,12)c(32,32,20)+*c(40,24,20)-
s(24,8,12)t(32,32,20)+c(32,40,20)*c(48,40,12)-
c(32,40,20)c(32,24,20)s(24,40,20)*-s(40,40,12)-
s(40,16,20)c(40,24,20)c(40,32,20)*c(24,24,20)++
t(16,24,12)c(40,24,20)+s(32,32,28)*s(40,24,20)*
s(24,32,28)s(40,24,28)+c(24,40,20)*s(32,48,20)*
t(32,32,20)t(40,48,20)+s(24,48,20)*c(24,32,12)+
s(16,24,12)c(24,32,12)+s(40,48,12)t(16,24,12)+-
s(40,40,28)c(32,32,28)s(32,32,28)s(40,16,20)*-*
s(48,16,20)t(40,40,20)c(40,32,20)t(32,32,12)-+-
s(40,32,28)t(16,40,12)+t(32,48,20)-s(16,24,12)+
c(32,24,20)t(40,32,12)-s(16,32,20)s(24,40,28)*-
t(48,24,12)s(8,40,12)+s(8,8,12)s(16,32,12)+-
t(40,24,20)s(40,40,12)-s(40,40,12)+t(40,48,12)+
s(24,24,20)t(16,16,12)s(16,48,12)c(40,32,12)++-
t(24,24,20)t(40,40,20)c(16,48,12)c(48,24,12)+-+
c(40,16,12)s(40,32,28)t(24,40,28)*+t(32,40,28)*
t(32,32,28)s(40,40,28)t(24,40,20)+s(16,32,20)-*
c(24,40,12)s(48,16,20)c(48,32,12)++s(24,40,28)-
t(40,32,20)s(24,40,28)c(32,40,20)*+t(48,40,12)-
s(32,40,20)t(16,32,12)t(40,40,20)+c(32,16,12)++
t(24,32,12)s(40,24,28)s(32,32,20)*s(16,16,20)-+
s(32,32,28)c(24,24,20)*t(40,32,12)t(16,56,12)+-
c(24,32,20)t(32,32,28)*s(48,48,20)+s(32,48,12)-
c(32,48,12)s(8,32,12)+s(16,40,20)+s(16,32,20)*
t(32,48,28)c(32,32,20)c(40,40,20)*t(24,32,28)**
s(32,32,20)c(40,24,20)+t(32,32,28)*s(24,24,20)*
s(16,40,20)c(32,16,12)t(24,48,28)+*c(16,24,12)-
c(40,48,12)t(48,16,12)s(24,32,28)s(32,24,28)*++
s(32,48,20)t(32,32,12)t(24,24,20)+-t(24,40,20)-
s(24,48,20)s(40,40,28)+t(16,24,12)s(40,24,20)+-
t(24,32,28)s(48,16,12)c(16,16,12)++s(24,40,20)*
c(40,24,20)c(16,40,12)s(32,24,28)+*s(24,40,28)-
s(48,32,20)s(32,24,20)-t(32,40,28)s(48,32,20)-+
s(48,40,12)c(16,48,12)c(24,24,12)+t(24,32,12)-+
c(32,24,20)s(40,16,20)*s(48,24,12)-s(16,32,12)+
t(32,32,28)c(24,32,12)-t(32,40,28)s(24,8,12)+*
c(24,40,20)c(24,32,20)t(32,40,20)*s(48,32,20)+*
s(40,32,28)s(16,24,12)+s(24,24,28)*t(32,32,20)*
c(24,32,20)s(32,40,20)*s(24,32,12)+t(32,48,20)+
t(32,40,20)c(40,32,20)c(24,24,20)*t(32,40,12)--
c(40,40,20)s(48,24,20)+c(24,32,20)*c(48,40,12)-
s(48,40,20)c(40,40,20)*s(8,40,12)+t(32,16,12)+
s(32,48,20)s(24,32,28)*t(32,40,20)t(24,32,12)+*
t(40,24,12)t(24,40,28)t(24,32,20)s(16,32,20)*-+
s(32,48,20)s(24,48,20)s(24,32,20)--t(32,40,20)+
s(24,32,20)s(16,24,20)s(24,8,12)++s(16,16,12)-
t(32,48,28)t(40,32,20)s(48,40,20)+*s(8,8,12)+
t(32,40,28)c(40,40,12)-s(32,40,20)*s(40,32,20)+
s(32,32,20)c(16,24,12)c(24,40,20)+t(24,48,12)-*
s(24,16,20)t(40,24,12)s(16,16,20)+c(24,24,20)*+
c(32,32,28)s(24,24,20)s(16,16,20)-t(40,56,12)+*
c(40,48,12)t(32,40,28)s(40,32,28)s(24,40,28)*-+
c(40,24,12)c(32,40,20)+t(32,48,28)-s(24,32,12)-
t(32,32,28)c(32,24,20)t(32,48,20)-t(40,32,12)-*
t(24,48,28)t(32,48,12)-s(40,40,28)s(40,24,12)-*
s(24,32,20)s(40,24,20)+t(32,48,28)-s(24,40,20)-
c(40,40,20)s(40,32,28)*c(32,32,20)s(40,24,20)**
t(32,40,12)s(24,32,12)+s(48,16,20)+c(32,24,20)*
t(40,48,20)s(40,24,20)s(40,32,20)s(16,16,12)+*-
t(24,40,20)s(32,40,20)+c(40,32,20)+s(48,40,20)*
s(8,32,12)s(16,16,20)s(16,40,20)s(32,32,28)*-+
s(48,24,20)c(40,32,12)+c(32,32,20)*s(40,40,28)*
s(48,24,12)t(40,56,12)c(24,32,20)c(24,48,12)+++
c(32,24,20)s(48,16,12)+t(48,56,12)s(16,48,12)++
t(40,24,20)s(24,24,12)+t(32,32,28)*c(24,40,20)+
c(40,24,12)s(40,24,20)s(24,24,20)c(24,40,20)*-+
s(16,48,20)s(16,40,20)s(16,32,20)+*t(24,48,28)*
s(24,16,20)c(24,40,20)c(40,40,20)*+t(32,40,28)+
t(40,24,20)s(16,48,20)t(32,32,28)t(32,40,28)*-+
c(40,32,20)t(24,32,28)*s(40,24,28)t(32,32,28)**
c(24,40,20)s(16,16,20)s(24,32,20)t(24,24,12)-+*
t(40,32,12)t(24,40,28)+s(24,24,28)*c(48,16,12)+
s(24,24,28)c(32,24,20)t(32,24,12)--c(40,24,20)-
s(40,40,28)t(32,40,12)-t(32,32,28)s(40,40,12)--
s(40,32,28)s(48,24,20)s(32,32,28)s(32,40,12)-*-
s(16,32,20)c(16,40,12)s(16,40,20)s(32,40,28)*+*
t(24,32,28)s(32,24,20)s(40,48,20)-c(24,32,20)*-
s(24,24,28)t(24,24,12)s(40,16,20)+s(32,32,28)*-
s(48,40,20)s(48,48,20)t(32,48,20)t(40,56,12)-+*
s(24,24,20)t(24,32,28)s(24,16,20)-+c(40,24,12)-
c(16,16,12)c(32,16,12)+t(32,48,20)+s(16,24,12)-
s(32,24,28)c(40,24,20)c(24,48,12)+*s(32,24,20)*
c(16,40,12)s(32,16,20)s(8,24,12)+s(24,24,20)*+
t(24,32,28)s(48,16,12)s(24,32,20)+s(24,40,12)-*
s(24,40,28)s(32,24,28)-s(24,40,28)c(40,40,20)-*
s(32,40,20)c(40,32,20)s(40,24,12)c(32,40,20)+**
t(32,32,28)t(24,48,20)+s(48,16,20)t(48,16,12)--
s(32,32,28)s(24,32,28)*t(32,48,20)+c(24,48,12)-
s(24,32,28)t(32,40,28)*t(40,16,12)+s(16,24,20)-
s(16,40,20)s(32,40,12)c(32,48,12)+-c(24,24,12)+
s(32,32,28)s(32,48,12)c(40,40,20)s(32,40,20)-+*
s(24,48,20)c(32,40,20)*t(24,32,12)c(48,40,12)++
c(32,40,20)s(48,32,20)-t(32,56,12)s(48,48,12)+-
c(48,16,12)s(8,48,12)+c(32,24,20)+c(32,32,20)*
s(24,16,12)c(24,40,20)s(40,48,20)*s(16,32,20)++
s(32,32,28)s(24,32,28)s(32,24,20)+t(40,40,20)*-
c(32,40,20)t(24,32,12)-c(32,16,12)+s(24,32,12)+
t(40,24,20)s(32,48,20)s(24,48,20)*+s(24,48,20)*
s(24,24,20)c(40,24,20)+s(48,8,12)-s(40,32,20)*
c(24,24,20)c(16,32,12)s(40,16,20)s(24,16,20)-+-
s(8,16,12)t(32,48,20)+t(16,16,12)s(40,32,28)+-
s(16,24,20)s(32,32,28)*s(16,16,20)+t(24,32,28)*
s(48,32,12)s(40,40,12)+c(32,32,20)s(40,16,20)*-
c(16,32,12)t(32,32,28)c(48,24,12)-+s(24,40,20)*
c(48,32,12)c(40,32,12)c(24,32,20)++s(16,40,20)*
c(40,40,20)s(32,32,20)c(24,32,20)t(32,16,12)-+*
t(40,24,20)t(24,56,12)+s(16,16,12)+s(32,16,20)*
c(16,16,12)s(32,32,12)+s(24,48,20)c(24,32,20)*-
t(32,32,28)s(16,16,20)s(32,40,20)+s(40,24,28)**
t(32,32,28)c(32,24,20)s(16,16,20)s(24,24,20)*-*
t(32,48,28)c(16,32,12)+s(24,40,20)s(32,48,12)--
c(40,32,20)s(40,40,28)s(40,32,20)t(32,24,12)--*
s(32,32,20)c(48,16,12)t(40,32,12)++c(24,16,12)+
s(40,16,20)c(16,40,12)s(40,24,12)+c(32,24,12)-+
s(24,32,12)t(40,24,20)+s(32,24,20)*s(32,40,28)*
t(16,24,12)c(48,40,12)+t(32,40,28)s(24,48,12)--
t(32,32,12)s(32,8,12)+c(32,24,12)+s(40,24,20)*
t(24,40,28)c(48,40,12)+c(32,24,20)*t(48,48,12)+
t(48,24,12)s(24,40,28)t(40,40,20)+s(48,48,20)*+
s(48,24,12)s(32,32,12)t(24,40,12)++t(32,40,28)*
c(16,16,12)c(40,32,12)s(32,32,20)s(48,32,20)*++
c(40,24,20)c(24,16,12)c(40,32,12)s(40,40,12)++*
s(32,32,28)s(48,48,12)-c(24,32,20)*t(16,16,12)-
s(40,24,28)s(24,32,20)s(40,24,12)-s(24,16,20)--
s(48,24,12)s(32,32,28)s(40,32,12)-+c(24,40,20)*
t(24,24,20)s(16,40,20)+s(48,48,12)+s(40,24,12)+
s(32,24,20)c(24,24,20)s(40,40,20)-s(24,24,20)**
s(24,16,20)c(32,32,28)*s(8,24,12)-s(40,40,20)-
t(24,48,20)s(40,40,28)c(32,24,20)*+t(24,40,28)*
t(24,32,20)t(40,16,12)t(48,48,12)t(32,48,20)+++
t(32,32,20)s(48,24,12)s(8,32,12)++c(48,16,12)+
t(40,48,20)s(48,40,20)s(32,40,28)t(32,32,12)-*+
t(24,48,20)s(16,24,12)c(40,32,20)+c(16,16,12)-+
s(24,24,28)s(40,32,12)-s(32,40,28)s(48,24,12)-*
s(40,24,12)t(32,40,28)t(24,40,12)-s(40,32,20)*+
c(24,40,20)s(24,32,20)s(32,48,12)-c(32,16,12)--
s(24,40,28)s(32,32,28)*t(24,40,28)+s(16,48,20)*
s(8,48,12)s(24,40,20)+s(16,48,20)t(24,48,28)**
s(24,32,20)s(32,16,20)t(24,40,12)+*s(40,32,12)-
t(24,48,28)s(40,24,28)-t(32,48,28)s(24,24,28)-*
c(32,24,20)s(32,24,28)t(40,32,20)-*s(16,24,20)*
s(16,40,20)s(48,40,20)+c(40,24,20)c(24,32,20)*-
c(24,32,20)s(32,32,28)s(32,32,12)s(16,24,20)+--
s(24,32,28)t(24,48,28)c(40,40,20)+s(24,40,20)**
c(24,48,12)s(40,48,20)t(32,48,28)*+s(40,24,20)-
s(24,24,28)t(32,40,28)s(40,16,12)+t(32,32,12)--
t(32,40,28)c(32,32,20)t(32,48,20)s(24,24,28)-+*
s(16,16,12)s(32,32,28)s(40,24,20)*+s(24,24,28)*
t(32,24,12)s(24,40,12)+c(16,32,12)+t(32,40,12)-
s(32,24,28)s(32,40,28)*s(24,40,28)*s(32,16,12)-
c(40,40,20)t(32,32,28)t(16,40,12)-s(24,24,20)*-
t(48,56,12)s(32,40,20)+s(24,32,20)s(32,40,20)*-
s(40,16,20)t(16,48,12)+c(32,32,20)c(24,48,12)-+
c(32,24,20)t(24,48,28)c(24,40,20)t(40,56,12)+*-
s(24,48,20)t(48,24,12)s(24,48,20)+s(32,40,28)**
c(24,32,20)t(32,32,28)s(40,40,28)s(16,40,20)+*-
s(16,16,12)s(32,16,20)c(24,32,12)-c(40,24,20)*+
s(40,24,20)s(40,8,12)-s(40,32,20)s(48,16,12)-+
t(24,48,28)s(32,48,12)c(16,32,12)+s(16,48,20)--
s(48,16,20)s(48,32,20)s(48,16,12)t(16,32,12)+-+
s(40,32,20)s(32,8,12)+t(48,32,12)-s(40,24,28)*
s(40,16,20)s(24,40,12)+t(32,40,20)+t(48,24,12)-
s(32,32,28)t(32,32,20)-s(24,24,28)-s(40,40,12)-
t(32,32,20)s(48,32,20)+t(32,24,12)-t(40,24,20)-
s(40,24,20)s(48,40,12)-c(40,32,20)*s(40,16,20)*
s(48,32,20)s(40,16,20)c(40,32,20)*c(40,32,12)+*
s(24,24,28)t(24,32,12)s(48,32,20)+*s(48,24,20)+
s(40,24,20)t(40,32,20)+s(32,24,20)*t(32,40,28)+
c(24,40,12)s(40,24,12)+c(48,16,12)c(32,24,20)+*
s(48,32,20)t(24,48,12)+s(40,40,20)c(40,16,12)+*
c(24,40,20)s(16,48,12)-c(40,40,20)t(32,48,28)**
t(32,48,28)s(24,32,28)s(24,16,12)-c(32,24,20)*-
s(24,40,20)s(16,48,20)c(40,40,12)+s(16,48,20)--
s(24,32,20)c(32,24,20)c(16,16,12)-*s(16,24,12)+
s(32,24,28)t(48,24,12)-c(40,32,20)s(32,32,20)*+
s(40,32,20)t(32,48,28)t(24,24,20)--s(40,48,20)+
s(24,32,28)s(24,40,28)*s(32,32,28)s(40,24,28)*+
s(40,16,20)s(24,16,20)s(32,16,20)s(32,48,20)++*
s(48,40,20)s(48,24,20)-s(16,40,20)+c(24,40,20)*
s(40,40,20)s(24,40,12)+c(40,32,20)c(40,24,20)+*
t(24,40,28)s(32,32,20)s(16,48,12)+t(40,32,12)-*
t(32,32,28)t(16,48,12)s(32,24,12)++s(24,32,20)*
s(40,32,20)t(24,32,28)+s(48,48,20)s(32,32,12)+*
t(24,40,20)s(32,16,12)+s(32,40,28)*s(24,32,20)*
s(24,40,28)t(48,24,12)c(16,16,12)s(32,16,12)+++
t(24,32,20)t(40,48,12)+c(24,40,12)+t(24,32,28)*
s(40,24,28)s(40,40,28)c(48,48,12)s(16,40,12)+*+
c(40,32,20)t(48,32,12)-s(24,24,28)-t(24,48,20)+
c(32,40,20)s(16,8,12)c(40,24,20)s(32,24,28)*+*
s(32,40,20)s(48,24,20)+c(24,32,12)-t(40,40,12)-
s(40,40,28)s(24,32,20)s(24,24,28)c(32,32,20)***
t(24,40,28)t(16,48,12)-s(24,40,12)c(24,24,12)+*
s(40,24,28)t(40,56,12)s(24,8,12)+c(32,16,12)+*
s(32,8,12)t(24,48,20)c(32,16,12)++t(40,48,20)-
c(24,32,20)c(40,24,20)*t(40,32,20)+t(40,24,12)-
c(40,32,20)c(40,40,20)s(48,32,20)*t(48,32,12)--
c(40,40,20)c(32,40,12)-s(40,40,12)-t(24,40,20)+
c(24,32,20)c(24,24,20)t(24,32,20)-c(32,32,28)**
s(48,40,12)c(32,40,20)s(24,32,12)t(24,56,12)+*+
t(40,40,20)s(16,32,20)t(32,40,28)-+c(24,48,12)-
s(40,24,28)s(32,32,28)s(32,16,20)-s(32,24,28)*-
c(40,32,20)s(24,48,20)s(16,32,20)--s(48,16,20)*
t(40,40,20)c(48,16,12)+t(32,48,12)-c(48,40,12)-
c(48,48,12)t(24,32,20)+t(24,24,20)s(16,8,12)++
s(24,24,28)s(40,8,12)c(40,40,20)s(32,48,20)*+*
c(32,32,20)s(16,24,12)-s(40,16,20)s(32,24,28)*-
s(48,24,20)t(16,48,12)c(48,24,12)s(24,16,20)++*
c(32,24,20)s(32,24,28)s(8,48,12)t(40,24,20)+*-
s(32,32,28)s(40,32,28)*t(16,56,12)c(24,32,12)+-
s(48,48,12)t(32,32,28)s(16,24,20)-+s(40,24,28)*
s(24,40,20)s(24,32,20)*s(48,16,12)s(24,24,12)+-
c(16,24,12)s(32,32,20)+s(40,48,20)-t(16,24,12)-
t(32,16,12)s(40,48,20)c(32,40,20)++c(32,24,12)-
s(24,40,20)c(40,40,20)t(48,40,12)-*s(40,40,20)*
t(16,32,12)s(8,40,12)+s(40,40,12)+s(16,48,12)-
s(16,8,12)t(24,32,28)t(16,16,12)++t(24,32,20)-
s(16,24,20)s(16,16,20)c(16,16,12)c(40,40,20)+*-
c(40,16,12)s(16,24,12)+c(32,24,12)s(16,24,12)+*
s(16,24,20)s(40,16,12)+t(16,32,12)c(40,32,20)+*
s(24,16,12)t(32,48,28)s(24,32,12)-+c(24,40,20)*
c(16,40,12)c(40,32,20)s(40,16,20)-t(24,32,20)-+
s(40,40,28)s(40,32,12)-c(24,48,12)c(32,32,12)+*
t(40,40,20)t(24,48,20)s(16,48,20)*c(32,48,12)++
c(32,24,20)s(40,24,20)*t(24,24,12)t(32,24,20)+*
s(32,40,20)t(32,40,12)-c(24,40,20)t(24,40,12)-*
s(48,16,12)c(40,40,20)t(32,32,20)*+t(24,32,28)+
s(24,24,28)s(8,32,12)-s(40,40,20)-s(32,24,20)*
s(24,40,20)s(40,24,28)+s(40,48,20)-s(16,48,20)-
s(8,8,12)c(24,24,20)s(40,24,28)*c(24,48,12)-+
s(24,16,20)s(40,40,20)t(32,48,20)-s(48,16,20)+-
t(32,40,28)t(24,16,12)+s(32,32,12)-c(24,40,12)-
c(40,32,20)c(48,48,12)c(32,24,20)s(8,16,12)++*
c(40,24,20)s(48,16,20)+s(16,24,20)t(32,40,20)+-
s(24,48,20)s(16,8,12)c(32,32,20)++t(40,24,20)*
s(48,40,20)c(40,32,20)c(40,40,20)s(16,24,20)+**
s(24,48,20)c(24,40,20)*c(40,32,20)t(24,16,12)+-
s(32,48,20)c(48,24,12)c(24,40,20)+c(24,24,12)-*
c(32,32,28)s(40,48,20)-c(32,16,12)-t(48,16,12)-
s(48,24,20)s(32,24,20)s(32,16,20)*+t(32,48,20)+
s(24,48,20)s(24,32,28)s(40,40,28)*s(32,48,12)--
c(40,24,20)c(16,32,12)t(32,40,20)++s(40,24,12)-
s(32,48,20)s(24,40,28)t(32,24,12)-+c(24,16,12)+
t(24,40,28)s(32,32,28)s(24,40,20)--s(16,48,20)*
c(32,40,20)s(40,16,20)s(24,8,12)-s(40,40,28)+*
s(40,24,12)c(40,24,20)c(32,32,12)-+s(40,8,12)-
s(32,24,20)c(24,32,20)*c(40,32,20)*s(24,32,12)+
s(24,32,28)c(40,32,20)s(48,24,20)-t(32,32,12)--
t(24,24,20)s(16,8,12)+s(40,32,28)s(32,24,28)*+
s(32,16,20)c(32,40,20)+s(24,40,20)*s(24,48,20)*
s(24,40,28)s(32,48,20)c(16,32,12)--t(40,24,20)-
s(40,40,28)t(48,32,12)s(16,24,12)+s(32,40,28)+*
c(16,40,12)s(40,24,20)+c(40,24,20)s(48,24,20)*-
s(24,32,28)s(40,24,12)-c(16,48,12)-c(32,32,20)*
t(24,48,28)t(40,48,20)-s(16,24,20)s(24,32,28)*-
s(32,32,20)s(40,40,28)s(48,16,12)+*c(24,40,20)+
s(32,32,28)s(40,48,20)+c(24,32,20)*c(32,32,12)-
s(16,32,20)c(24,24,20)*t(16,56,12)s(40,32,20)++
c(40,32,20)t(40,24,20)s(32,24,20)*-s(40,48,20)*
t(24,32,20)s(48,48,20)-c(32,32,12)+t(16,32,12)-
c(40,24,20)t(32,40,28)s(48,32,20)+c(32,40,12)-*
t(16,56,12)s(40,32,28)t(32,40,28)*s(32,40,20)*+
s(8,24,12)s(24,48,20)+t(32,24,12)+s(40,32,28)*
s(40,40,28)c(24,24,20)t(32,32,28)s(40,32,28)+*+
s(32,48,20)c(40,32,20)*s(40,48,20)s(24,40,20)-+
s(32,24,20)t(40,56,12)c(40,32,12)t(32,24,12)+++
s(48,24,20)c(40,32,20)*t(40,40,20)t(40,24,12)--
s(24,16,20)c(24,24,12)s(40,8,12)+*s(32,16,20)*
s(40,32,12)t(24,24,20)+s(16,24,20)+t(24,16,12)-
s(48,32,20)t(48,16,12)-t(24,32,12)+t(24,24,20)-
s(32,32,28)t(24,48,20)-t(16,16,12)-t(32,24,20)*
t(24,32,28)c(24,40,20)c(24,24,20)*s(24,16,20)+*
c(32,32,20)s(24,40,28)*s(16,48,12)s(16,32,12)++
c(32,40,20)t(48,48,12)-c(40,32,12)-c(40,40,20)*
s(40,24,28)s(48,16,12)-t(24,40,12)-t(32,32,20)+
t(32,40,28)s(48,48,20)-s(16,40,20)s(32,40,28)**
s(32,24,28)t(40,40,20)+c(24,40,20)t(40,16,12)+*
c(32,32,20)c(24,48,12)c(24,32,20)c(24,40,12)-+*
s(32,32,28)s(16,48,12)t(16,16,12)c(48,48,12)++*
t(32,40,28)s(40,40,28)t(40,40,20)--s(32,24,20)-
s(40,40,20)s(16,24,20)s(16,48,20)+c(16,32,12)-+
c(16,16,12)s(24,32,20)c(32,24,20)s(32,32,28)**+
t(48,56,12)s(24,32,28)t(32,48,28)-c(32,24,20)*+
s(40,40,28)c(40,16,12)t(32,48,28)+t(24,32,20)-*
t(16,48,12)c(24,40,20)s(24,48,20)*s(8,48,12)-+
c(32,16,12)c(32,32,28)t(24,48,28)*+s(40,24,20)*
s(24,16,20)c(48,40,12)+s(32,24,20)*c(40,40,20)+
t(40,56,12)s(24,32,20)+t(24,48,28)*s(16,32,20)+
t(24,48,20)c(32,16,12)s(8,16,12)t(32,32,20)++-
s(24,32,20)t(48,16,12)s(24,32,12)+s(40,16,12)--
s(40,24,12)c(24,40,12)+t(24,24,20)+s(24,32,28)*
s(48,16,20)c(24,48,12)+c(32,32,20)t(40,32,12)--
s(32,24,20)c(48,40,12)t(48,24,12)+-s(48,32,20)+
t(32,24,20)s(24,48,12)+s(40,24,12)+t(16,48,12)-
s(32,24,28)t(16,32,12)t(32,40,28)+*t(24,48,20)-
c(32,24,20)s(24,24,28)*t(32,32,28)t(24,32,20)**
t(32,40,28)s(40,32,28)t(32,48,20)t(40,24,12)+*-
t(40,48,20)c(40,32,12)+t(32,48,28)t(32,16,12)+*
s(8,40,12)s(48,40,12)c(32,40,20)s(32,24,28)*++
s(24,32,20)t(24,32,20)c(40,40,20)+s(40,24,28)**
s(32,32,28)t(24,40,12)-s(40,32,20)-s(32,24,28)*
s(32,24,28)c(32,32,20)*s(16,32,20)t(24,32,28)*+
c(40,24,20)s(32,24,20)*c(16,48,12)+t(40,40,20)-
s(32,40,20)s(40,48,12)-s(32,40,20)c(32,32,20)**
c(24,40,20)s(24,32,28)s(24,16,20)t(16,32,12)+-*
t(24,16,12)t(40,16,12)+s(8,40,12)+t(32,40,28)-
c(32,32,28)s(40,24,28)*s(40,24,12)-s(16,40,20)+
s(40,32,28)s(24,16,20)+s(16,16,20)*t(24,24,12)-
s(32,24,28)c(32,32,20)s(40,40,20)--s(24,24,28)*
s(32,40,28)s(32,24,28)s(40,48,20)+*c(40,32,20)*
s(48,40,20)t(32,48,28)+s(48,32,20)c(16,32,12)+*
t(24,48,20)t(48,24,12)+s(48,16,12)t(40,40,12)+-
s(48,32,20)c(40,40,20)s(40,24,20)-c(32,40,20)*-
s(16,32,20)s(24,24,12)-c(32,32,28)*t(24,48,12)+
s(16,32,12)t(24,16,12)c(40,48,12)+s(32,24,20)-+
s(40,24,28)c(40,16,12)c(16,24,12)+-t(48,16,12)+
c(40,32,20)s(40,40,28)s(48,32,20)--s(24,32,20)-
c(32,48,12)s(32,40,12)+c(16,32,12)s(40,40,20)+*
t(24,40,20)s(32,16,20)-s(16,32,20)+s(16,32,12)-
s(24,32,20)t(48,56,12)c(40,32,20)t(40,16,12)-+*
s(24,32,28)s(40,24,20)+s(32,48,20)s(24,32,28)*-
s(16,24,12)t(24,40,20)s(32,16,20)s(48,24,20)--+
s(48,48,20)s(24,40,20)s(32,16,20)--s(24,16,12)+
s(24,40,20)s(48,48,12)+c(24,32,20)t(16,24,12)-*
c(40,32,20)c(24,32,20)*s(32,32,28)s(32,24,28)**
c(40,32,20)c(24,32,20)t(16,24,12)-*c(32,40,12)+
s(24,32,28)s(32,32,28)s(40,24,12)-s(32,40,28)**
c(32,32,28)t(32,48,28)*s(32,40,20)*t(24,56,12)-
c(32,40,20)s(24,40,28)*s(32,24,28)*c(16,40,12)-
s(24,40,28)s(40,16,12)+s(32,24,28)*t(48,40,12)+
s(24,40,28)s(16,24,20)-s(16,40,20)s(24,32,20)--
t(24,56,12)s(24,32,20)+s(24,24,28)s(40,32,28)--
t(32,48,28)s(16,40,20)s(16,48,20)*-c(40,40,20)*
t(24,16,12)s(40,32,20)t(40,24,20)*+s(16,32,20)-
c(24,48,12)c(32,32,20)c(24,40,20)*t(32,24,12)++
t(32,40,28)s(24,24,28)s(40,40,20)-s(48,16,12)+-
t(32,40,28)s(40,24,28)s(32,40,20)-c(24,32,20)+*
s(40,40,20)c(32,40,20)c(16,40,12)+c(48,40,12)-*
s(24,32,28)t(32,48,28)t(40,48,20)t(32,24,20)+--
t(24,48,28)s(40,24,28)s(24,32,28)*t(32,24,20)*+
s(24,24,28)c(16,16,12)c(40,32,12)+-c(40,16,12)-
s(32,8,12)s(16,24,20)+c(24,32,20)*t(40,24,12)+
s(48,40,20)s(16,24,20)+t(32,32,28)s(32,24,28)*+
s(32,48,20)s(32,40,28)s(32,32,20)--s(16,32,12)+
c(48,40,12)t(24,32,28)+s(16,32,20)*s(24,24,28)*
s(32,40,28)t(16,48,12)-s(24,40,28)*t(32,32,28)*
c(16,48,12)s(32,24,20)c(40,32,20)*+s(32,24,28)*
c(40,40,20)t(24,48,20)t(48,48,12)s(16,32,20)++*
s(16,40,20)c(16,48,12)-s(48,40,12)+s(40,24,28)*
c(48,48,12)s(24,24,28)s(24,40,20)++t(24,48,28)+
c(24,24,12)t(32,32,20)t(16,48,12)++s(32,24,12)-
c(24,32,20)s(16,24,12)-t(40,16,12)+s(48,48,12)+
s(40,24,28)s(24,24,28)+s(48,48,20)c(40,40,20)*-
s(24,40,20)c(16,24,12)+c(32,24,20)s(48,24,12)-*
s(24,32,28)s(40,24,20)+s(32,24,20)-t(24,32,20)-
c(16,16,12)s(40,40,28)+s(48,32,12)-s(16,32,20)*
s(8,48,12)s(40,40,12)+t(16,40,12)t(24,56,12)+-
t(24,48,12)t(24,56,12)s(8,16,12)++c(40,24,12)+
s(40,32,28)s(40,16,20)-t(32,32,28)s(24,24,20)*-
t(24,40,28)c(24,32,20)*t(16,24,12)-c(24,48,12)+
c(16,32,12)c(24,24,20)s(24,32,20)-s(40,32,12)++
s(24,24,20)s(40,40,28)t(32,48,28)+t(24,56,12)--
s(16,32,20)t(32,32,28)s(24,24,20)*s(48,32,20)--
c(24,40,20)s(48,8,12)+s(24,48,20)t(40,32,20)-*
s(40,48,20)c(24,32,20)c(24,24,12)-+c(24,48,12)-
s(40,48,20)c(48,16,12)+c(16,40,12)c(40,48,12)+*
c(16,32,12)s(24,8,12)s(24,40,20)t(40,24,20)-++
s(40,16,20)t(24,48,12)t(32,56,12)t(24,24,20)+++
s(32,40,20)t(16,48,12)t(24,40,20)+t(32,40,28)*+
t(24,32,28)s(24,48,12)+t(24,24,20)t(24,48,28)+*
s(16,40,12)t(40,40,20)+c(16,32,12)+t(32,40,20)*
s(32,32,28)s(32,8,12)+c(24,40,20)*c(40,32,20)*
s(32,32,28)s(16,24,20)t(24,48,20)t(24,40,28)+--
c(48,24,12)t(24,32,28)+s(16,32,20)c(40,40,20)+*
t(40,40,20)t(32,40,20)t(24,40,28)*+s(48,40,20)*
s(40,32,28)t(32,40,28)s(16,40,20)*c(32,16,12)+*
s(40,32,20)t(24,40,28)s(24,40,28)s(16,32,20)**-
c(32,32,28)s(32,16,20)*s(24,40,28)-s(40,16,20)+
s(32,32,28)c(40,24,20)t(48,32,12)c(40,48,12)+-+
s(24,32,20)t(24,24,20)-t(32,40,28)+s(40,16,20)-
s(24,24,20)c(40,24,20)t(32,40,20)+t(24,48,28)+*
c(40,40,12)s(24,24,28)s(24,40,28)*+s(32,24,20)+
t(32,40,28)t(24,24,20)-s(48,24,20)-c(24,16,12)+
s(32,16,20)s(32,32,28)c(24,48,12)-+t(32,40,20)-
t(24,48,28)s(32,48,20)t(40,16,12)s(32,32,20)+*-
c(32,40,20)s(48,48,20)t(16,40,12)+-s(40,48,20)-
s(32,40,20)t(24,40,28)*s(16,48,20)s(24,24,20)++
s(40,24,28)c(32,16,12)t(32,40,28)+c(16,32,12)-+
s(24,24,28)t(40,48,20)+s(32,32,28)c(24,24,12)-*
t(32,32,20)s(40,48,20)+s(32,24,20)c(40,32,20)*-
t(24,48,20)c(16,32,12)+s(8,48,12)s(32,40,28)+*
s(40,24,28)s(24,24,28)*c(16,24,12)-s(40,40,28)*
s(24,24,28)t(24,16,12)t(48,48,12)+t(24,40,12)+-
c(32,24,20)t(40,48,20)-t(24,40,20)+s(40,48,20)+
t(48,56,12)s(32,16,20)c(32,48,12)+s(24,24,28)++
s(24,24,28)s(8,16,12)-c(48,32,12)c(40,16,12)+-
s(40,24,28)t(32,24,20)t(24,32,12)+-c(24,16,12)-
c(48,16,12)s(24,32,28)c(16,24,12)-+c(48,32,12)+
s(8,40,12)t(32,40,28)s(40,48,20)*+s(16,32,12)-
c(32,40,12)s(40,40,28)c(32,24,12)s(32,40,12)+*+
s(32,16,20)s(48,16,12)-s(16,24,20)t(48,16,12)++
t(16,32,12)c(32,24,20)s(32,32,28)*s(16,40,20)-+
s(32,40,28)t(24,24,12)-c(16,48,12)t(48,48,12)+*
s(32,40,20)t(32,48,28)s(40,8,12)+*c(32,32,20)+
c(40,40,20)s(48,40,12)-c(40,24,20)*c(40,32,12)+
c(24,40,12)s(40,32,28)s(32,32,12)t(40,48,20)+*+
c(48,32,12)c(24,40,12)+s(16,24,12)s(16,48,12)+-
c(32,32,20)t(32,48,20)-c(40,16,12)+s(32,24,12)-
t(24,32,20)s(48,8,12)s(24,40,28)c(40,48,12)-+*
s(40,40,20)s(48,24,12)+c(40,24,20)+c(32,40,20)+
c(32,32,20)c(24,16,12)+c(40,48,12)s(24,32,20)+*
c(24,32,20)t(40,24,12)t(32,24,20)+s(32,40,28)+*
s(40,24,28)t(24,24,12)-c(32,32,20)+s(40,48,20)+
s(32,32,28)t(40,32,20)t(24,32,28)+*s(24,40,20)-
c(32,24,20)t(24,32,28)s(32,40,28)s(24,24,28)***
t(32,32,28)c(24,40,20)s(40,48,20)c(24,40,20)-+*
c(24,40,20)s(24,48,20)+c(32,40,20)*s(32,32,20)*
t(32,48,28)s(48,24,12)c(24,40,12)+t(24,40,28)+-
s(48,32,12)s(32,32,20)+s(48,32,20)s(40,48,12)+-
t(24,40,20)c(32,32,28)s(16,24,12)s(48,48,12)+-*
s(32,24,28)s(16,32,12)-s(40,48,20)t(48,56,12)--
s(32,32,12)c(24,32,20)s(40,24,20)+s(40,16,20)*+
c(32,40,20)t(32,48,20)-t(48,32,12)s(40,48,20)+-
s(40,48,20)s(16,40,12)+c(32,40,20)s(32,32,20)-*
s(16,32,12)s(40,24,28)+c(40,32,20)c(32,40,20)*-
s(40,40,28)t(24,16,12)+c(24,48,12)-c(32,32,20)-
t(40,24,20)s(32,40,28)s(32,24,20)-c(40,24,12)+*
c(32,40,20)c(16,16,12)c(40,48,12)s(32,40,12)++*
c(24,32,20)s(40,40,20)c(48,40,12)t(40,48,20)+*-
t(32,40,28)s(40,24,28)t(40,40,20)+c(40,48,12)-*
s(32,16,12)t(24,32,28)s(24,32,12)-s(32,32,28)*+
s(32,48,20)s(16,24,20)s(32,40,20)c(16,48,12)+++
c(24,32,20)t(24,48,28)-s(24,48,20)s(32,32,28)+*
s(24,32,28)s(32,48,20)-s(48,16,20)-s(32,24,28)*
s(48,48,20)s(48,40,20)c(40,32,20)t(32,40,28)--*
s(40,24,20)t(16,48,12)c(48,16,12)+-t(24,40,20)+
t(16,40,12)c(40,40,20)+t(24,32,12)-t(32,32,28)-
s(16,48,12)s(40,24,20)t(32,48,20)++s(16,40,20)*
s(32,48,20)s(32,32,12)+s(24,32,28)c(24,24,20)+*
t(24,40,20)t(16,32,12)-t(40,48,12)+c(32,24,12)-
s(24,48,20)c(40,24,20)s(24,8,12)+-s(24,16,20)+
s(40,24,20)c(32,32,20)t(24,32,12)-s(24,24,20)--
s(40,24,28)s(32,24,28)s(48,40,20)-*s(32,32,20)*
s(40,24,28)c(24,24,20)s(40,32,12)t(40,56,12)++*
s(8,16,12)t(40,32,20)+s(32,40,20)c(40,24,12)--
s(32,24,28)s(40,32,20)s(32,16,20)--c(40,24,12)-
t(40,32,20)t(24,16,12)+s(24,32,28)s(32,32,28)**
s(16,40,12)s(16,24,20)+t(40,24,20)+t(32,48,12)+
t(24,48,28)c(32,32,20)c(16,40,12)-t(24,40,20)-+
c(48,32,12)c(24,24,20)+s(16,32,20)s(24,32,20)**
s(32,48,12)s(24,32,12)+s(32,40,28)s(48,40,20)*-
c(32,40,20)s(40,32,28)s(8,40,12)s(48,16,20)+-*
c(32,32,20)s(24,16,20)s(32,24,28)+*s(40,24,20)*
s(16,24,20)s(24,48,20)c(48,40,12)+-s(24,24,28)*
c(40,40,20)s(32,24,20)s(48,24,12)++c(40,32,12)-
t(40,16,12)c(32,40,20)+s(40,40,28)s(32,40,28)**
s(40,40,28)t(24,16,12)s(48,32,20)+s(32,16,12)-*
s(32,24,28)c(16,24,12)-s(48,24,20)*s(32,16,12)-
c(24,32,12)s(24,40,12)+t(40,48,20)+s(24,40,28)*
c(48,32,12)t(16,16,12)+s(48,32,20)*c(24,40,12)+
c(32,48,12)t(24,48,20)+s(24,48,20)*t(32,48,20)*
s(40,40,28)s(32,32,28)*c(48,24,12)+s(24,40,20)*
s(16,16,20)t(24,32,20)-s(24,40,20)+s(24,48,20)*
s(40,24,28)c(32,24,20)c(32,16,12)t(32,48,12)+*-
s(32,24,28)s(32,40,28)*s(24,40,20)t(24,40,28)**
s(48,32,12)s(24,16,20)+s(16,40,20)-c(32,32,20)*
s(32,40,28)s(24,40,28)s(16,40,12)--c(16,48,12)+
s(32,24,28)s(48,16,20)-t(32,48,28)-s(16,24,20)*
c(32,40,20)s(24,48,20)t(16,32,12)-t(48,56,12)+-
c(48,16,12)t(48,32,12)+t(32,40,12)c(24,16,12)++
s(40,24,28)c(32,32,20)c(24,32,20)t(16,40,12)---
s(32,32,28)s(40,24,20)*s(40,24,28)c(40,40,20)**
c(32,32,28)t(32,48,20)t(24,40,28)*-c(24,32,20)-
s(40,48,12)s(24,40,12)+c(32,32,28)c(48,48,12)-*
t(32,40,28)s(40,32,28)c(40,16,12)-s(48,40,20)*+
c(24,40,20)s(8,48,12)s(24,16,12)+-s(16,32,20)-
c(40,40,20)s(16,32,12)t(40,32,20)+c(48,40,12)--
s(48,32,12)s(32,40,28)s(24,40,28)*c(24,40,12)-+
s(16,32,20)s(8,24,12)c(40,24,12)+c(24,24,20)*-
s(32,32,20)s(40,8,12)t(40,24,12)s(48,48,20)++-
s(24,32,12)c(32,40,20)t(24,48,28)*+s(48,24,20)+
s(32,32,20)s(24,40,28)c(40,48,12)-s(24,16,20)--
t(32,40,28)c(40,24,20)s(24,40,28)c(32,24,20)-+*
t(16,56,12)s(24,40,20)t(16,32,12)c(24,32,12)+-+
c(32,32,12)s(24,16,20)+c(16,32,12)+s(48,32,20)-
c(40,48,12)t(24,48,20)s(32,8,12)+t(40,40,20)-+
t(24,48,20)t(40,32,12)+s(24,40,28)t(16,48,12)-*
s(48,16,20)s(40,40,20)-s(8,8,12)s(8,16,12)++
s(40,32,28)t(24,24,20)s(16,8,12)--t(24,48,20)-
t(48,16,12)s(48,24,12)+c(16,48,12)+s(40,48,20)+
s(24,24,20)s(16,24,20)t(24,16,12)-+c(32,32,20)-
c(24,32,12)s(32,48,20)t(40,40,20)c(16,48,12)+*+
c(24,32,20)t(32,32,28)s(8,16,12)+t(16,40,12)--
c(48,24,12)t(40,48,20)+s(48,16,12)+c(32,40,12)+
s(32,24,20)s(40,40,28)t(24,48,20)-s(24,40,20)+*
c(40,32,20)s(32,48,20)*t(40,24,12)+s(40,16,20)-
s(48,16,20)c(40,16,12)-s(32,16,12)+s(32,32,20)-
s(16,16,12)s(32,40,28)+s(32,40,12)s(32,16,20)+-
c(40,32,20)s(40,16,12)c(32,48,12)+*t(32,24,12)+
t(32,48,20)t(32,32,20)+s(16,48,20)s(32,48,20)*-
c(40,24,20)t(32,32,12)s(48,40,12)+s(32,48,20)++
s(16,24,20)t(24,32,20)-s(40,48,20)+s(32,24,28)*
s(48,40,20)c(32,16,12)+t(32,32,20)c(16,40,12)--
s(32,24,28)t(24,40,12)s(24,24,20)+c(40,32,20)-*
s(24,32,12)c(40,40,20)t(40,32,12)-+t(32,56,12)-
t(24,24,20)t(40,32,20)-t(24,40,20)+t(32,24,12)+
t(24,32,20)s(48,24,20)+s(48,48,12)t(24,24,20)++
s(40,16,12)s(24,48,12)+s(32,32,20)+s(24,24,20)*
s(40,24,20)t(24,32,12)+s(24,32,28)t(24,48,28)--
s(40,40,20)s(40,40,28)s(24,40,28)*s(40,32,28)*+
t(16,48,12)c(32,32,20)s(40,40,28)*t(48,16,12)++
t(24,56,12)s(32,40,20)s(40,32,28)*c(24,24,12)-+
t(32,48,12)t(32,32,28)+c(40,24,20)s(40,32,20)**
t(24,32,12)s(32,48,20)s(24,40,20)s(40,32,12)-*+
s(32,24,28)s(40,32,28)s(32,48,20)-s(40,24,20)**
s(32,32,20)s(32,8,12)+s(32,40,20)+t(24,24,20)-
s(32,24,28)s(24,24,12)-s(24,48,20)s(24,40,20)*-
s(32,24,20)c(32,24,20)s(24,24,28)t(32,40,20)-*+
t(32,48,28)t(32,40,28)t(24,40,28)+c(32,32,20)--
c(24,40,20)s(32,40,12)c(24,40,12)+s(48,40,12)+*
c(32,48,12)s(32,32,20)s(16,40,12)++s(40,40,20)*
s(8,40,12)t(32,48,28)c(32,24,20)-t(40,40,20)-+
t(32,32,28)s(32,24,20)*t(32,40,28)t(32,40,20)--
s(24,40,28)c(32,40,12)-c(40,40,20)-s(16,24,20)-
s(40,40,28)t(16,40,12)+s(40,32,28)c(24,24,20)**
s(24,40,28)c(32,32,20)t(32,40,12)-s(32,24,20)**
s(40,48,20)t(24,48,28)t(40,16,12)c(24,24,12)+-*
s(40,24,28)s(16,48,12)+t(40,24,12)-s(32,40,20)+
c(32,40,20)s(24,24,28)*c(40,48,12)s(40,24,28)+*
s(32,16,20)s(32,24,28)t(40,40,20)+s(48,24,20)-*
s(24,24,12)c(40,48,12)+t(32,48,20)t(24,48,28)*-
t(32,40,28)s(24,40,20)*s(32,40,20)*t(32,32,12)-
t(24,48,28)s(32,8,12)+s(48,16,12)s(24,16,12)++
s(32,16,20)c(40,32,12)s(48,48,12)+-c(16,32,12)+
s(24,32,20)t(32,24,20)+s(40,32,20)t(24,32,12)++
c(32,32,20)s(32,32,20)s(40,16,20)+t(24,40,12)-*
s(24,48,20)s(48,40,12)t(40,56,12)s(32,40,20)++*
t(32,24,20)t(40,32,20)+s(40,40,20)+c(24,24,20)+
s(24,32,28)s(48,32,20)-s(24,24,20)c(32,16,12)+*
s(32,24,20)s(32,16,20)t(24,48,28)+*c(16,24,12)-
s(32,8,12)s(40,48,20)+t(32,32,28)*t(16,56,12)+
s(24,24,28)t(40,24,20)+s(40,48,20)t(32,40,28)*-
s(40,40,28)t(32,48,28)*s(32,48,20)s(32,32,28)**
s(40,32,28)s(32,24,28)+s(32,8,12)-s(32,24,20)*
t(24,40,12)t(48,56,12)+s(16,16,12)+t(16,24,12)+
c(40,32,12)c(16,32,12)+t(24,40,28)+s(40,24,20)*
s(32,32,28)s(24,32,28)t(16,24,12)-t(24,24,20)-*
s(40,40,28)t(40,32,12)-c(32,32,28)t(32,32,28)--
c(24,24,12)s(32,32,28)t(24,48,28)-t(24,40,28)-+
s(32,32,20)t(32,32,20)s(24,16,12)-c(48,32,12)+*
t(32,24,20)t(32,40,20)+s(32,24,28)s(8,32,12)++
t(24,24,12)s(40,32,28)c(40,24,12)t(24,56,12)+*+
s(32,40,28)s(24,40,28)s(48,24,12)+s(48,40,20)-*
s(48,40,20)s(24,32,20)t(40,40,20)+s(16,40,20)-*
s(32,24,28)s(16,24,12)-t(32,24,20)-c(24,24,20)-
c(24,32,20)s(16,16,20)t(32,24,20)--s(8,48,12)+
s(32,24,20)c(48,16,12)-s(16,16,20)+s(32,40,20)-
s(32,32,28)s(40,32,28)s(8,32,12)+*t(40,24,20)*
s(40,32,20)c(32,16,12)-t(32,16,12)s(40,40,20)+*
c(24,24,20)c(24,32,20)c(32,32,20)c(40,16,12)-**
t(24,48,28)s(24,32,28)+t(32,48,28)t(16,48,12)+*
s(32,24,28)s(48,48,12)+s(16,16,12)-c(24,16,12)-
s(32,32,28)c(16,24,12)-t(24,48,20)-c(24,32,12)-
s(16,16,12)t(24,32,20)t(32,32,28)*c(32,32,12)++
c(16,40,12)c(24,16,12)t(16,32,12)++t(32,24,20)-
s(40,16,20)t(32,48,12)+t(32,32,12)+s(32,48,20)+
t(32,32,20)t(48,56,12)+t(40,24,12)-c(32,24,12)-
s(16,16,20)s(32,24,28)s(24,16,20)t(24,40,28)--+
t(16,32,12)t(16,56,12)c(24,48,12)++s(24,8,12)+
s(24,32,28)c(24,32,20)s(32,40,20)s(48,40,20)*--
t(48,24,12)c(32,48,12)+s(48,40,12)+s(40,32,20)*
t(24,40,28)s(32,24,12)t(24,24,12)++c(40,32,20)-
s(40,32,20)c(24,40,12)-s(40,32,20)t(48,16,12)-*
s(16,48,20)c(24,40,12)-c(40,32,12)t(48,56,12)++
c(24,32,20)s(24,40,28)t(40,32,12)-*t(40,24,20)+
s(32,48,20)t(48,48,12)+c(32,24,20)t(32,40,20)-+
s(48,32,20)t(16,16,12)+s(48,16,20)+t(32,48,12)+
c(40,40,12)c(24,40,20)+c(32,32,20)*c(24,24,12)-
t(48,16,12)t(24,48,28)s(40,32,20)+t(24,32,28)*+
s(48,16,20)c(32,16,12)s(40,24,12)s(16,48,12)++-
s(48,32,20)t(32,32,28)t(32,32,20)-t(40,48,20)--
s(40,40,20)c(40,32,20)s(24,24,28)s(40,24,28)**-
s(8,40,12)s(40,24,20)+c(40,16,12)-s(16,16,20)+
c(32,24,20)s(32,32,12)-s(48,40,20)s(40,24,20)+*
s(32,8,12)t(24,56,12)s(16,24,20)+t(32,24,12)++
s(24,48,20)s(8,24,12)+t(16,40,12)t(48,32,12)++
t(32,24,20)s(16,40,20)+s(40,32,20)t(48,16,12)--
s(32,24,28)s(24,40,28)*t(48,32,12)+t(32,24,20)*
s(32,24,28)t(24,24,20)s(16,24,20)*-s(40,32,28)-
s(16,16,12)s(16,32,20)+s(24,16,20)+t(16,24,12)-
c(48,24,12)s(32,16,20)+s(32,40,20)t(24,48,12)--
t(24,48,28)s(24,48,12)-s(24,40,28)c(40,40,20)--
c(40,40,20)s(24,40,28)s(16,32,20)s(16,48,12)-*-
t(32,32,28)c(32,24,20)s(32,16,20)*-t(32,40,12)-
c(24,32,20)s(32,40,12)-s(32,24,12)t(48,32,12)+-
s(32,24,20)s(48,24,20)t(32,32,28)+c(16,40,12)-*
s(32,48,12)t(40,48,20)s(48,24,12)++c(40,32,20)*
t(32,32,28)s(24,40,28)c(40,24,20)-s(24,48,20)*-
t(32,40,20)s(48,48,20)+s(48,40,20)s(40,40,20)**
s(24,24,20)s(24,40,28)+s(24,24,12)-s(40,24,28)*
c(24,24,20)s(40,48,12)+t(24,40,28)t(24,24,12)-*
t(24,32,20)s(32,24,28)c(32,32,28)s(16,24,20)**+
s(24,32,12)t(40,40,20)+c(32,24,20)+t(24,32,28)*
s(32,40,28)c(40,32,20)t(16,56,12)t(32,24,20)+*-
t(16,56,12)s(32,24,28)s(32,32,12)-+s(24,24,28)*
c(32,32,20)t(32,40,28)t(40,48,20)s(24,16,20)+--
t(40,40,20)t(24,48,28)+s(24,40,28)s(32,48,20)*-
t(24,32,20)t(40,24,20)s(40,16,12)+t(32,40,20)-+
c(16,40,12)t(32,24,20)+s(32,48,12)+s(24,32,20)*
s(16,24,20)s(16,40,20)s(16,48,12)-*c(32,32,12)+
s(32,8,12)c(32,40,20)c(16,40,12)-c(32,32,12)-+
t(24,32,20)s(16,40,12)+s(32,24,12)-s(32,40,12)+
t(24,24,20)s(16,48,20)c(24,24,12)+*t(40,32,20)+
t(24,48,20)s(40,8,12)t(32,40,12)+c(32,32,28)*-
t(40,24,12)t(24,40,28)+c(24,32,20)*s(24,40,20)*
s(32,16,12)t(40,32,20)s(24,48,20)-c(24,40,12)++
c(40,24,12)c(48,40,12)+s(24,40,12)+t(40,32,12)-
s(24,16,20)t(24,24,20)c(40,16,12)+s(16,24,20)*-
t(32,32,28)c(40,48,12)s(32,32,20)++t(32,40,28)*
s(40,24,28)c(32,32,28)*s(40,24,12)-s(32,40,28)-
t(32,40,28)s(48,16,20)s(48,24,12)-+c(32,48,12)-
t(48,16,12)t(32,16,12)+c(32,24,20)s(40,32,28)*+
s(40,32,28)c(24,24,20)-s(40,40,20)s(32,32,12)-*
s(32,40,20)c(24,32,20)c(40,48,12)+s(48,40,20)-+
t(32,32,28)c(32,32,20)s(24,40,12)-*c(32,40,20)*
s(48,48,20)s(24,48,12)s(48,16,20)++t(32,40,28)*
s(8,32,12)c(48,32,12)+s(40,48,20)-s(48,16,12)+
s(16,16,20)c(16,32,12)-c(32,16,12)-s(40,24,28)-
t(40,24,20)t(48,56,12)+s(24,24,12)-s(40,24,20)*
t(24,48,20)s(32,24,28)t(24,32,28)s(32,40,20)**-
s(24,24,20)t(24,24,12)-s(24,32,28)s(24,16,12)-+
t(16,56,12)c(32,40,20)+s(8,8,12)t(48,24,12)++
c(48,48,12)s(32,48,20)s(48,40,20)t(32,16,12)+-+
s(24,40,28)c(24,24,20)*t(48,56,12)+c(40,40,12)-
s(16,16,20)t(32,16,12)+s(16,32,20)-s(24,16,20)*
c(40,32,20)s(40,32,20)t(32,32,28)c(40,32,20)**-
s(40,40,28)t(32,40,28)s(32,40,12)-c(24,24,12)+*
s(16,32,12)t(32,48,20)+s(40,40,12)-s(24,32,20)+
t(24,24,20)s(40,40,20)s(32,24,12)-+c(24,16,12)-
t(16,32,12)c(40,48,12)+t(24,32,28)+s(24,32,28)+
c(32,40,12)s(8,40,12)+s(24,32,20)*t(24,48,12)+
s(40,40,20)t(40,32,20)s(32,48,20)t(24,48,20)*++
s(40,48,20)c(40,48,12)s(16,40,20)s(32,48,20)-+*
t(48,32,12)t(16,40,12)+s(40,40,20)c(24,24,12)++
s(32,40,20)c(40,16,12)s(16,48,20)+s(24,48,12)--
s(48,24,12)c(32,32,20)s(40,40,28)t(32,48,28)**+
s(32,40,20)s(24,32,20)*s(24,16,20)c(16,32,12)--
t(24,24,20)t(40,16,12)s(48,32,20)c(32,32,20)*+-
c(32,40,20)s(24,32,20)s(8,40,12)-s(24,8,12)+*
c(32,16,12)s(48,48,20)t(16,48,12)t(40,40,12)+++
s(40,24,20)t(32,32,28)*s(16,40,20)+s(16,24,12)+
t(24,24,12)s(16,16,20)s(40,32,28)-+s(24,8,12)-
c(24,40,20)c(40,40,20)s(40,32,28)*c(32,32,20)**
s(40,16,20)s(40,32,12)+s(48,32,20)*t(40,48,20)+
s(24,32,28)t(32,24,20)-t(32,40,28)s(48,40,20)+-
t(32,32,28)t(24,16,12)t(40,32,20)+c(16,16,12)+*
c(32,24,20)s(24,40,28)*s(32,24,12)-s(8,16,12)+
c(24,24,20)t(32,32,28)*t(24,40,28)t(24,32,28)**
c(40,32,20)c(48,48,12)c(24,40,20)s(16,40,20)*+*
c(32,40,12)s(40,24,28)s(48,48,20)c(48,32,12)+*+
t(48,24,12)s(32,24,12)+c(48,32,12)+s(24,8,12)+
t(24,40,28)s(16,40,20)t(24,32,12)-c(32,24,20)--
c(32,32,20)s(32,32,12)-s(32,24,20)s(24,32,28)+*
s(32,24,28)t(24,16,12)-s(24,24,28)s(32,24,20)-*
t(24,48,28)s(32,40,20)t(24,32,20)+c(16,24,12)+-
c(24,32,20)t(24,40,28)*t(32,56,12)+t(24,48,20)*
s(32,40,20)t(32,32,28)*c(40,24,20)s(16,32,20)-+
s(16,32,20)t(32,32,20)c(40,40,20)c(40,32,20)**-
s(40,24,20)s(16,32,20)t(32,24,20)+*s(24,8,12)-
c(16,16,12)s(32,32,28)s(40,24,28)*s(24,24,28)*+
s(40,16,20)t(40,40,20)s(40,24,20)+*t(32,40,20)+
c(40,32,20)c(24,40,20)c(32,40,20)**t(40,48,12)-
s(32,40,28)c(24,24,20)t(32,32,28)c(48,24,12)---
c(24,40,20)c(32,32,20)s(48,40,12)+*t(16,40,12)-
s(32,40,28)s(32,32,20)s(48,24,20)s(8,24,12)+--
s(32,24,20)s(48,48,20)+t(40,16,12)s(24,32,20)+*
s(8,24,12)s(40,16,12)t(48,32,12)t(48,48,12)+++
s(40,32,12)t(32,24,20)+t(24,40,28)s(40,40,28)+*
s(24,32,28)t(40,40,12)-t(40,56,12)c(16,32,12)++
t(40,32,20)s(8,16,12)t(48,32,12)++s(16,24,20)-
c(32,32,28)c(16,16,12)c(32,40,12)+*s(48,48,20)-
t(40,56,12)c(32,24,20)s(32,40,28)*t(32,48,20)-+
c(32,32,28)t(32,24,20)s(16,48,20)+*t(32,32,20)*
c(24,24,20)c(48,24,12)c(32,24,20)s(16,32,12)-+-
s(32,48,20)c(40,40,20)s(40,32,12)-s(40,24,28)*-
c(40,32,20)t(32,32,28)s(24,40,28)t(24,48,28)---
s(40,32,20)c(32,40,12)-c(32,24,20)+c(24,40,20)*
t(24,40,20)t(24,32,28)+s(32,32,20)c(24,24,20)**
t(40,32,12)s(40,16,20)t(40,32,20)-+s(48,24,12)-
c(16,48,12)t(32,24,20)+c(24,40,12)-s(24,32,12)-
s(40,32,28)s(24,40,28)t(24,16,12)s(32,48,20)+*-
t(32,32,28)t(24,40,20)*s(32,24,20)+s(24,16,20)-
c(24,40,20)s(32,24,20)s(16,16,20)-t(24,48,28)+*
c(32,24,20)s(32,48,20)t(16,56,12)+c(32,40,12)-+
s(48,16,20)s(24,40,28)s(48,16,20)s(32,40,20)+*+
s(24,48,20)c(32,24,20)c(48,40,12)-+t(24,40,12)-
s(48,24,20)s(24,24,28)s(32,40,12)-c(16,24,12)--
s(40,24,20)s(40,32,20)c(32,16,12)-s(24,32,20)+*
c(24,32,20)t(40,24,12)s(48,24,12)+-c(24,48,12)-
t(32,40,28)s(48,32,12)s(24,40,20)+c(32,40,20)**
c(32,32,20)s(24,32,20)*c(24,48,12)+s(16,40,12)-
t(32,40,28)t(24,40,28)*s(16,32,12)+c(32,24,20)-
t(24,56,12)s(16,16,20)+s(24,16,20)*c(24,32,12)-
c(40,40,20)c(32,32,20)s(32,40,20)*t(40,56,12)+*
c(40,40,20)s(40,32,20)c(40,40,20)+t(32,48,20)*-
s(48,40,20)c(24,32,12)c(40,40,12)+c(48,40,12)--
c(24,32,20)s(16,48,12)-c(40,24,12)-c(24,40,12)-
t(24,24,20)t(16,16,12)+s(32,40,20)s(16,40,12)+-
c(32,32,20)c(48,16,12)+s(24,40,20)t(24,32,12)-*
c(40,40,20)s(16,16,20)+c(48,40,12)s(8,48,12)+*
t(40,24,12)s(32,24,12)+c(48,40,12)+c(40,40,20)*
s(32,16,20)s(40,16,20)c(40,40,20)-s(40,40,12)+*
t(24,32,28)s(24,40,28)c(16,40,12)-s(40,40,20)+*
c(32,24,20)c(32,32,28)s(16,24,20)s(16,48,20)+**
c(48,48,12)t(32,40,28)+c(32,24,20)s(40,24,28)**
c(24,32,12)s(24,24,28)c(24,24,20)t(24,40,12)--+
s(8,32,12)s(40,24,20)+s(24,16,12)-s(24,40,28)*
c(24,24,20)s(32,40,28)c(40,24,12)t(16,16,12)+-*
s(32,24,28)c(48,24,12)t(32,40,28)++t(32,40,28)-
s(40,40,28)c(32,24,20)c(48,24,12)-s(16,16,12)+-
s(24,40,28)s(32,24,20)*c(24,40,20)t(32,32,20)--
c(32,32,20)t(24,40,12)s(32,16,20)+-t(16,24,12)+
s(40,40,28)t(32,32,20)s(24,32,28)s(48,32,20)-+-
s(24,24,12)s(32,48,20)+c(24,32,20)*c(24,40,20)*
s(40,40,28)t(32,40,28)*t(40,32,20)-s(40,24,20)-
s(32,32,28)s(24,24,28)s(40,24,28)*s(40,16,12)--
t(24,48,28)s(24,32,20)t(24,24,20)c(48,16,12)++*
c(24,24,20)t(32,48,28)s(32,32,28)+c(24,40,20)*-
s(8,24,12)c(24,40,20)+c(32,40,20)t(48,40,12)-*
t(32,40,28)c(40,32,20)s(24,40,20)-+t(32,32,28)*
s(32,40,28)s(16,40,20)s(8,48,12)--s(32,8,12)+
s(40,32,28)s(48,40,20)+s(32,32,28)*s(40,48,20)+
c(48,48,12)c(24,40,20)+s(32,40,20)s(16,24,12)+*
t(24,32,28)s(24,24,20)c(16,32,12)--c(24,24,20)*
s(16,16,20)c(24,32,20)s(16,40,20)-t(32,32,28)*-
t(32,48,20)t(24,40,20)s(32,48,20)+s(32,32,20)*+
s(40,24,20)s(40,40,20)*t(24,48,28)+t(24,32,28)+
c(16,32,12)s(40,40,28)s(24,40,28)s(24,16,20)-*+
s(16,32,20)c(32,32,20)t(32,40,12)--s(32,48,12)-
s(24,24,28)s(40,8,12)s(16,40,20)s(16,8,12)++*
s(40,16,20)s(32,24,28)c(16,40,12)-s(24,40,28)-*
s(16,40,20)s(40,32,12)c(48,16,12)s(24,32,20)++-
c(40,32,20)c(32,32,12)t(32,24,12)t(24,32,20)++-
s(24,48,20)s(32,40,12)t(16,48,12)+-s(16,48,12)+
s(24,48,20)s(16,16,20)c(40,40,12)+-t(16,32,12)+
s(48,40,20)s(48,48,12)t(32,24,20)+c(16,48,12)+*
s(24,48,20)s(40,32,20)+s(32,48,12)-s(32,24,28)*
s(24,16,20)s(24,32,28)s(16,40,20)+s(32,16,20)**
c(24,24,20)t(24,48,28)c(32,40,12)+c(32,32,20)+-
c(40,40,12)s(16,24,12)+t(32,32,12)-s(40,32,28)*
t(24,40,20)s(48,16,12)c(40,32,20)+s(48,32,20)-+
s(40,32,28)s(16,32,20)t(24,40,20)-s(16,48,20)+-
s(24,32,28)t(48,40,12)s(16,8,12)+s(8,32,12)+-
s(32,24,28)c(24,32,20)s(40,24,28)t(32,32,12)--*
c(32,48,12)t(24,32,28)t(24,48,28)c(40,24,20)+*+
s(40,40,20)t(24,48,20)-c(32,40,20)*t(48,48,12)-
s(40,48,20)t(32,16,12)s(40,48,20)s(32,48,20)*+*
s(32,32,20)s(8,16,12)c(24,24,20)+t(32,16,12)-*
c(24,40,20)s(24,24,28)c(40,24,20)*-s(24,16,20)-
s(16,24,12)s(40,16,20)t(32,48,20)++c(24,40,20)*
c(32,32,12)t(32,24,12)+s(24,24,20)+s(48,24,20)+
s(40,16,20)s(48,24,20)s(32,40,28)c(32,24,20)*+*
t(24,40,28)s(24,40,12)t(24,56,12)+-s(24,32,28)*
t(32,40,12)c(24,16,12)+s(24,24,20)c(40,24,20)--
s(24,24,28)s(24,40,20)c(24,32,20)**c(32,32,20)*
s(32,32,28)c(24,16,12)-s(40,16,12)-t(40,48,20)-
t(16,32,12)t(32,40,12)s(8,24,12)++t(40,48,20)-
s(24,40,20)s(32,32,28)s(16,40,20)-+s(48,32,20)-
t(24,48,20)c(24,24,12)+s(32,16,20)-s(32,48,12)+
s(24,32,20)s(32,40,28)+t(16,32,12)-s(40,16,20)-
c(24,40,20)s(40,24,20)s(40,40,20)+t(48,40,12)--
t(48,48,12)s(24,24,28)+s(48,24,20)-c(24,40,12)-
s(32,24,28)t(32,40,28)t(32,32,28)**s(16,32,20)+
s(24,24,28)t(40,40,20)s(40,24,28)s(24,40,28)*+-
s(32,40,28)t(32,48,12)s(48,40,20)++t(32,32,12)-
t(32,32,28)c(32,24,20)s(48,32,20)-s(24,40,12)-+
t(32,48,28)s(32,48,20)s(32,32,12)-t(32,40,12)-*
c(40,40,20)s(16,48,20)s(40,48,20)-+s(24,32,28)-
c(24,24,20)c(32,32,20)*t(16,24,12)-t(24,40,12)-
s(32,24,20)s(16,48,20)s(24,16,20)s(40,24,28)*+*
s(40,32,28)c(40,40,20)t(32,32,28)*s(24,40,28)*-
s(48,32,12)t(32,24,20)t(16,32,12)s(40,40,28)+*+
s(24,24,12)s(40,40,12)c(24,16,12)+s(24,32,28)*+
c(24,32,20)t(24,32,20)-s(32,24,20)c(32,40,20)*-
c(48,32,12)t(32,40,28)s(40,40,28)c(40,32,20)**+
s(24,32,28)s(16,24,20)*s(24,40,28)c(24,32,20)**
t(24,40,28)c(40,24,20)s(32,40,28)*c(24,40,12)+*
s(40,8,12)t(24,48,20)+s(32,24,20)-c(48,32,12)+
s(16,8,12)c(40,24,20)s(16,16,20)s(40,16,20)+-+
t(24,48,28)t(48,48,12)+s(40,48,20)s(40,32,20)++
t(32,40,20)s(40,24,28)c(32,32,28)*+c(24,40,12)-
t(40,48,12)s(40,16,20)+c(32,24,20)t(24,56,12)+*
s(40,24,20)s(40,32,28)c(32,32,20)*t(32,48,28)*-
t(24,48,20)s(40,32,20)c(24,32,20)*c(48,40,12)--
s(24,24,28)s(24,32,20)-t(40,16,12)-s(40,32,20)+
c(24,32,20)s(48,32,12)+t(24,32,28)*s(48,24,20)-
t(24,24,20)c(48,40,12)+t(40,48,20)-s(24,16,20)*
t(24,40,28)s(16,48,20)*c(32,40,20)c(24,48,12)--
s(24,40,12)c(40,40,20)t(32,40,28)-+c(40,24,20)-
s(48,40,20)s(24,32,12)+t(40,24,12)t(32,40,20)+*
s(24,40,20)t(24,32,28)s(32,24,28)**s(8,40,12)-
c(32,32,20)s(40,16,12)t(32,40,20)t(24,40,28)*++
s(32,32,28)c(16,32,12)-c(40,32,20)s(48,24,20)-*
s(24,32,20)c(40,40,20)s(48,48,20)*+t(24,40,12)-
t(32,40,28)c(16,48,12)-s(40,24,20)t(32,40,20)-+
c(40,24,20)s(40,32,20)s(32,24,28)s(16,32,20)-*-
c(24,32,12)t(32,48,28)t(32,32,28)*+c(24,24,20)*
s(48,40,20)c(24,24,20)t(40,40,20)+t(32,40,28)*-
c(24,40,20)s(40,32,20)+c(16,40,12)-s(32,32,12)-
s(32,32,28)s(40,24,20)c(40,16,12)-c(48,48,12)+*
s(48,16,20)t(32,32,28)-c(48,32,12)+s(16,40,12)+
c(24,32,20)t(48,32,12)c(32,32,20)c(40,24,12)-+*
t(24,48,28)c(48,32,12)s(8,48,12)+-s(16,40,20)-
c(48,48,12)t(24,24,20)s(40,16,20)c(40,40,20)--+
s(32,32,28)t(24,40,12)-c(40,40,20)s(40,48,20)*-
t(32,32,28)s(32,40,28)s(32,40,28)s(24,32,20)--*
s(48,40,20)t(48,24,12)+c(48,24,12)t(24,32,28)+*
s(40,16,12)s(8,16,12)s(32,48,20)++c(40,24,12)-
c(24,48,12)c(40,16,12)s(40,32,20)+s(24,32,28)*+
s(32,32,20)c(24,40,20)*s(40,40,28)*s(40,16,20)-
c(32,16,12)c(40,16,12)+t(24,48,12)+c(32,32,20)*
c(32,40,20)s(8,48,12)s(24,16,12)++c(16,24,12)+
s(40,40,28)t(40,48,12)-c(32,40,12)-s(48,32,20)+
s(40,24,20)s(40,40,12)-s(16,32,12)+c(24,32,20)*
c(32,40,20)t(32,56,12)-s(40,40,20)+t(24,32,28)*
s(16,48,20)c(32,40,20)c(32,24,20)t(40,32,20)*--
s(32,40,20)s(40,32,28)c(40,40,12)c(40,24,20)+**
c(24,24,20)s(32,24,28)*t(32,32,20)*s(16,8,12)+
s(32,40,28)c(24,40,20)*c(24,40,20)c(24,32,12)--
c(48,32,12)s(40,24,12)+c(40,48,12)+t(48,32,12)-
s(48,24,20)s(8,48,12)s(48,32,12)++s(48,40,20)*
s(32,16,20)c(40,40,20)s(16,16,20)+s(48,32,12)-*
s(16,16,12)s(16,40,20)+s(16,16,20)-s(32,24,20)-
s(24,48,20)s(24,24,20)t(40,56,12)+-s(48,40,20)-
s(16,24,12)s(40,32,28)s(32,24,28)*s(40,40,20)*+
s(32,24,12)s(16,32,20)+c(16,40,12)-c(40,40,20)-
s(32,32,20)c(40,16,12)s(24,40,12)+*t(16,40,12)+
s(32,32,12)s(8,48,12)+s(24,32,12)+s(40,24,12)-
t(32,32,28)c(24,24,12)-s(32,24,28)t(32,24,20)--
s(40,40,28)s(32,24,20)t(48,40,12)+*c(24,16,12)-
s(40,32,20)s(32,40,28)s(16,32,20)*s(8,24,12)--
t(40,32,12)t(24,24,20)+c(32,32,12)-t(40,48,12)+
s(40,32,28)c(32,32,28)s(24,40,28)**t(24,40,28)*
s(32,16,20)c(32,24,20)s(40,24,28)*t(32,24,20)--
s(40,32,28)s(24,24,28)*s(40,24,20)+t(40,40,20)-
s(16,48,20)s(40,40,12)+s(32,40,28)c(48,24,12)+*
c(32,32,20)t(40,48,12)s(24,32,20)+*c(24,40,20)*
s(40,16,12)s(48,40,20)+s(24,8,12)s(32,32,12)+-
s(24,32,28)c(32,40,20)t(32,48,28)-t(32,24,12)+*
s(32,32,28)c(24,24,20)t(40,40,20)+*c(32,40,20)+
t(24,32,28)c(40,40,20)-s(48,24,12)+s(40,24,28)*
t(16,16,12)c(40,32,20)s(32,32,28)s(24,16,20)-*+
s(16,40,20)t(24,40,20)t(24,16,12)+t(32,16,12)-*
c(24,40,20)s(32,24,28)t(32,56,12)+*s(16,32,20)*
s(24,48,20)t(48,32,12)s(24,48,12)++c(48,24,12)-
s(40,16,20)c(32,32,28)s(32,48,20)s(40,40,20)*-*
s(24,16,20)s(40,24,20)+s(24,40,20)s(8,40,12)--
s(48,24,12)t(32,40,20)+s(48,16,20)t(32,32,28)+*
s(24,40,20)s(16,32,20)s(16,32,12)t(40,56,12)++*
s(32,32,20)s(16,16,20)s(16,48,20)+t(24,48,28)*+
t(16,24,12)c(32,40,20)c(48,40,12)++s(40,40,20)-
s(24,40,28)t(16,16,12)c(40,32,20)+s(48,32,20)*-
c(24,40,20)t(32,48,28)s(24,32,28)c(40,32,20)**-
s(40,32,28)c(48,40,12)s(48,32,12)+-s(48,24,20)*
c(32,32,20)s(48,48,12)c(24,32,20)+c(24,48,12)--
t(32,40,28)c(16,40,12)-t(24,48,28)t(32,32,28)--
t(48,24,12)s(32,48,20)c(40,32,12)-+t(24,40,28)*
s(24,32,28)t(32,40,20)s(24,8,12)+*s(24,16,20)-
s(48,32,20)c(24,24,20)s(32,16,20)+c(32,32,28)*-
c(40,32,20)t(32,16,12)s(8,48,12)+-t(32,32,28)*
c(24,32,12)s(40,40,20)+c(24,32,20)*c(16,24,12)-
t(32,32,28)c(16,24,12)-s(24,32,28)s(32,40,28)*+
t(24,24,20)s(32,24,28)s(24,32,28)**s(48,40,20)-
s(40,32,20)c(48,48,12)c(24,32,12)+t(32,32,20)--
t(32,32,28)s(32,24,28)s(40,48,20)-c(40,24,12)--
s(32,24,20)s(32,24,28)c(40,40,12)-t(40,32,20)-*
s(40,48,20)s(48,16,20)s(48,32,20)*+c(48,48,12)-
c(40,24,20)t(24,40,20)t(16,48,12)-+t(40,40,20)-
c(32,24,20)s(32,40,28)c(40,24,20)*s(16,40,20)+*
s(24,48,20)s(8,32,12)c(16,40,12)+s(48,48,12)+-
s(32,40,20)s(16,24,20)s(8,24,12)-+t(32,40,28)*
c(16,48,12)t(40,32,20)t(24,32,28)++s(16,16,20)-
s(40,40,20)s(32,32,20)*c(48,16,12)+c(40,32,12)-
s(40,40,20)s(48,24,20)-s(32,16,20)s(24,16,20)++
c(32,40,20)c(48,24,12)-s(24,40,28)c(32,32,28)**
s(32,40,20)s(48,48,20)+s(16,48,20)-c(40,32,20)+
s(40,32,28)s(40,48,12)-c(24,48,12)+c(40,24,12)-
c(40,40,20)s(16,16,20)c(24,40,20)-c(24,24,12)-+
s(8,8,12)t(40,32,20)+s(40,32,20)c(48,48,12)-*
t(16,24,12)t(32,48,28)+s(24,32,28)c(32,24,12)-*
s(32,32,28)t(24,40,28)s(16,24,12)-t(40,40,20)-*
s(40,32,28)c(16,24,12)s(48,48,20)t(24,32,28)-+*
s(32,32,20)t(24,32,28)*s(24,24,28)*s(40,24,28)*
s(40,8,12)t(32,24,20)s(40,40,28)+t(32,24,12)-+
t(24,32,28)t(24,40,12)s(24,16,20)s(32,24,28)*++
s(24,40,20)c(48,16,12)+c(24,32,20)s(24,40,28)**
c(40,24,20)s(48,48,20)t(48,32,12)+s(48,32,20)+-
s(24,16,12)s(40,32,28)s(16,40,20)t(24,40,28)*-+
c(48,48,12)c(24,40,12)+c(32,24,20)+s(16,32,20)*
s(48,32,20)s(32,40,28)s(24,32,12)-*s(40,24,28)*
s(40,32,20)s(24,32,28)*t(48,48,12)+s(16,40,20)-
s(32,8,12)t(32,48,20)s(40,24,20)t(24,24,12)--+
c(32,32,20)s(32,16,20)s(40,24,20)+*s(24,40,20)-
s(32,24,28)s(32,16,12)-c(24,40,12)+s(32,32,28)*
t(16,24,12)s(40,16,12)+t(16,16,12)t(24,32,12)+-
s(48,48,12)s(40,16,20)s(48,24,20)s(48,16,20)**+
s(32,32,12)s(40,40,20)s(16,40,12)+s(32,24,12)-+
s(48,32,12)t(32,48,28)t(24,40,28)-t(40,40,12)++
t(24,48,20)s(32,24,28)c(24,32,20)c(32,24,12)-*-
t(32,32,20)c(24,40,20)s(8,48,12)t(24,40,20)+*+
s(16,32,20)s(32,24,28)t(24,32,20)-c(24,40,20)+*
s(24,24,28)s(16,16,20)-c(32,40,20)*t(32,32,20)*
c(40,16,12)t(32,24,20)+c(40,40,12)t(24,32,12)+-
s(16,32,12)s(40,48,12)+s(40,40,28)t(32,32,28)*-
t(24,48,28)s(32,32,20)+c(32,32,20)*s(48,40,20)-
s(40,32,20)s(48,24,20)-s(48,16,12)+c(40,40,12)+
t(16,16,12)s(24,48,20)s(24,40,20)s(40,24,12)+*+
t(32,32,28)s(32,16,20)-s(40,32,28)*t(24,32,28)+
t(24,48,12)s(32,24,28)s(24,32,28)c(40,40,20)*-+
c(32,48,12)s(16,24,12)t(40,32,20)++t(24,48,28)*
s(48,24,20)t(48,24,12)-c(40,24,20)c(32,40,12)+*
s(40,32,12)s(32,24,20)s(40,32,12)-+s(32,32,20)*
c(32,32,20)s(32,16,20)s(24,16,20)*-s(24,40,20)*
s(24,32,20)s(40,32,20)c(24,32,20)*+t(40,48,20)-
t(32,32,28)c(40,40,12)s(8,24,12)+c(16,32,12)--
s(40,40,28)s(32,32,20)*c(32,24,12)+s(48,48,20)+
c(40,24,20)s(8,24,12)+c(32,24,20)c(32,48,12)++
t(24,16,12)s(48,40,20)s(48,48,20)s(24,32,28)-*+
c(24,40,20)c(16,48,12)s(40,16,12)c(32,48,12)++*
s(32,16,20)c(40,32,12)-s(24,32,20)+s(16,24,20)*
s(32,48,20)c(40,32,20)+s(16,48,20)s(8,40,12)-*
s(40,32,28)c(16,24,12)+s(40,48,20)-s(32,16,12)-
t(32,32,28)s(8,16,12)c(40,48,12)+-t(32,32,20)*
s(48,16,12)s(40,24,28)s(32,32,28)*c(40,40,12)++
c(32,32,20)s(40,32,28)*s(16,24,12)+t(24,40,28)*
s(48,40,20)c(32,48,12)t(24,32,12)+-s(48,16,20)-
c(24,40,12)s(24,32,28)s(32,32,20)-+c(32,24,20)*
s(40,32,28)s(40,40,28)*s(40,24,20)*t(32,40,20)+
c(24,40,20)c(40,32,20)t(16,40,12)s(40,40,12)++*
s(24,40,28)c(32,24,20)+c(40,32,20)*c(48,24,12)-
t(48,56,12)s(16,16,20)s(32,24,28)*+t(48,48,12)+
s(8,40,12)c(48,24,12)+s(16,32,12)+s(40,24,12)-
s(24,16,20)t(32,24,20)-t(24,48,28)+t(24,32,28)-
c(24,40,20)s(40,24,20)s(32,24,20)*+c(32,16,12)-
c(32,32,28)s(48,32,12)-t(32,48,28)-c(40,32,20)*
t(40,56,12)t(16,40,12)c(40,24,20)+t(32,48,12)++
s(40,48,12)s(40,40,20)t(24,40,28)*+s(16,48,20)-
t(24,40,28)c(24,40,20)t(32,32,28)*s(16,16,12)+*
t(40,32,20)s(24,40,28)s(16,32,20)*-s(16,16,20)+
s(40,40,20)c(48,16,12)t(32,56,12)+s(24,24,28)--
s(40,40,28)s(24,8,12)s(32,40,20)+-c(48,40,12)-
s(48,32,20)c(32,32,20)s(24,40,12)-+t(48,40,12)-
s(40,24,28)s(40,40,20)s(48,16,12)+-s(24,32,12)-
s(24,40,20)c(16,32,12)s(48,24,20)s(48,40,20)*+*
s(24,16,20)c(32,32,28)*s(8,16,12)-s(40,24,12)-
s(32,24,28)t(40,24,12)t(16,24,12)+-t(48,56,12)+
s(32,32,28)s(24,24,20)*t(40,32,20)-s(32,32,12)-
t(24,32,28)s(32,40,28)t(32,32,20)--s(24,32,20)*
s(16,24,20)t(32,56,12)s(40,32,28)+s(48,48,20)--
s(8,48,12)c(32,24,20)c(24,40,12)-t(32,40,28)-+
s(16,40,12)t(24,32,28)c(16,16,12)-t(24,32,20)*+
t(32,24,20)t(32,48,28)+s(32,32,28)*c(40,32,20)*
s(40,16,20)t(24,24,20)+c(40,16,12)-c(40,24,20)*
t(24,40,20)s(48,8,12)c(40,48,12)+c(40,40,20)*-
s(40,16,20)s(32,32,28)+t(40,48,12)t(16,40,12)+-
t(32,40,28)s(24,16,20)-t(16,40,12)+t(32,40,12)-
c(32,48,12)c(40,24,20)s(40,40,28)c(32,48,12)--+
s(40,40,20)c(24,32,20)s(24,24,20)+c(40,40,12)-+
t(32,32,28)s(24,24,12)-s(40,40,12)-s(16,48,12)-
t(32,32,20)s(32,24,28)c(16,16,12)-s(48,16,20)*-
s(48,40,20)s(32,24,20)+c(40,24,20)*t(40,24,20)-
s(32,48,12)s(32,32,28)s(32,40,20)-t(40,40,12)++
s(40,8,12)s(32,24,12)+s(48,40,12)c(24,40,20)+-
s(16,24,20)s(48,48,12)t(24,32,20)t(40,48,12)+++
s(8,16,12)s(48,48,20)t(16,48,12)++t(24,32,28)-
c(40,32,20)c(24,24,12)-s(48,24,20)*s(48,16,12)-
s(40,24,28)t(32,40,20)-c(40,24,20)c(32,24,20)*-
t(48,40,12)t(24,48,28)s(24,32,28)-t(24,48,12)-+
t(16,16,12)c(40,40,20)s(24,40,20)+s(16,24,20)-+
s(40,32,20)c(32,32,28)s(24,24,20)-s(48,32,20)**
t(16,32,12)s(24,16,20)s(16,16,12)-t(32,16,12)-+
c(24,40,20)s(32,40,28)c(24,24,20)s(48,16,20)---
c(16,48,12)s(48,40,20)t(32,32,20)-t(24,40,28)-+
s(16,32,20)t(32,32,28)*s(24,24,28)s(24,48,20)-+
s(32,32,28)c(40,24,12)-c(32,24,12)-s(32,24,28)*
c(24,40,20)s(40,40,28)*s(40,24,28)*t(16,16,12)+
t(24,32,20)t(40,40,20)+t(40,40,12)-s(24,24,28)*
c(24,40,20)t(24,32,28)s(32,32,12)-*c(48,24,12)+
s(24,24,20)c(40,32,20)+s(32,32,28)s(40,40,28)-*
t(32,48,20)s(40,32,20)+t(24,40,20)+c(48,16,12)+
s(16,24,20)c(24,24,20)t(32,24,20)-*t(40,32,20)+
s(40,40,28)s(48,24,20)-c(24,40,20)s(48,32,20)--
s(24,40,28)t(32,32,20)-t(24,32,28)-s(48,48,20)-
c(24,24,20)c(24,32,20)s(40,16,20)-+s(24,40,28)*
s(8,24,12)s(32,32,20)+c(40,16,12)s(48,32,12)+-
t(32,40,12)s(32,16,20)t(24,24,12)c(48,24,12)+-+
c(32,24,20)s(40,16,20)s(32,24,28)**c(24,24,20)*
s(24,40,20)s(32,32,20)c(32,40,20)*s(24,48,12)+*
t(24,48,20)c(40,24,20)c(32,24,20)+s(8,40,12)+-
s(32,40,28)s(48,40,20)-c(16,40,12)s(32,32,20)+*
s(32,40,28)c(40,32,20)*s(16,16,20)s(24,24,28)*+
s(32,24,28)s(40,24,20)-t(40,48,20)-s(32,48,12)+
s(48,40,20)c(32,32,20)c(40,40,12)-+c(16,24,12)-
s(40,32,20)s(40,32,20)s(24,32,20)s(8,16,12)+*-
s(32,16,20)c(32,24,20)s(16,24,20)-t(16,48,12)+*
s(32,24,28)s(40,24,28)c(40,40,20)c(32,40,12)--*
c(32,32,20)t(40,56,12)s(24,40,20)+s(48,24,20)+*
s(48,32,20)c(32,32,28)*c(24,32,20)t(40,24,20)+*
s(32,40,28)t(32,32,20)t(16,48,12)+-s(40,40,28)*
s(24,24,28)s(16,32,12)-s(32,24,20)s(32,8,12)+-
s(32,40,28)t(24,16,12)c(40,32,20)s(48,32,20)*+*
t(24,48,28)c(32,32,28)s(40,48,12)-s(16,24,12)-*
s(8,16,12)s(24,32,20)c(48,24,12)t(24,48,20)+-+
t(48,40,12)c(24,40,20)s(16,48,20)t(40,40,20)+*+
t(32,40,20)s(32,48,20)s(16,24,12)s(40,32,28)+*+
t(24,32,28)s(8,48,12)-c(40,24,20)*s(48,40,20)+
s(40,40,20)c(32,16,12)s(40,48,12)+-s(32,40,20)+
s(8,32,12)t(24,40,28)s(32,40,20)*+s(32,32,20)-
t(32,40,28)s(32,24,20)*c(24,16,12)+s(16,32,12)+
s(40,24,28)s(48,8,12)t(24,40,28)+t(24,48,28)++
s(32,40,28)c(24,24,20)s(24,40,28)s(8,48,12)-+*
c(48,16,12)c(32,40,20)s(16,16,12)++t(40,48,20)-
t(32,32,28)s(48,48,12)+s(40,24,20)c(32,24,20)**
s(24,40,28)t(24,32,28)s(40,24,20)-*s(40,48,20)-
c(16,24,12)t(32,32,28)t(40,56,12)++c(32,40,20)*
c(48,24,12)s(24,40,20)+c(24,24,20)s(40,16,20)-*
t(24,48,28)s(32,40,12)-s(48,32,20)c(40,24,20)*+
c(32,24,20)s(48,40,12)s(24,16,20)+t(40,48,12)+*
s(24,32,12)s(16,32,20)c(32,24,20)-+t(24,48,28)-
s(24,40,28)t(48,40,12)+s(40,40,20)*s(40,32,12)-
s(40,24,28)c(24,24,12)-c(40,40,12)-s(32,24,28)*
t(32,32,28)s(40,40,28)*t(24,32,28)*t(40,48,12)+
t(40,24,20)s(24,48,20)t(32,48,28)s(40,40,28)++*
c(24,40,12)c(48,48,12)+s(24,32,20)-t(16,48,12)+
t(32,48,28)c(24,40,20)c(16,40,12)-c(16,32,12)+*
s(24,32,12)s(24,32,20)t(24,24,20)*+s(32,48,20)-
s(32,40,28)s(40,24,28)s(32,24,28)t(24,40,20)+**
t(32,24,20)t(40,32,20)t(16,56,12)s(24,32,20)++*
s(8,8,12)s(40,40,28)t(24,24,20)-+t(40,40,12)-
s(40,32,20)t(24,40,20)-s(16,32,20)t(24,32,20)*+
s(24,16,20)c(24,24,20)s(32,24,20)-c(32,24,12)+*
c(40,24,20)s(32,24,20)-s(32,32,20)-c(32,32,20)+
s(32,40,20)t(40,48,20)c(48,32,12)--t(32,24,12)-
s(32,24,20)c(32,40,20)-s(48,48,12)+s(40,24,12)+
s(24,32,28)c(24,24,12)-s(24,48,12)-s(32,32,28)*
c(32,24,20)c(24,24,12)t(24,56,12)+*s(40,40,28)+
c(32,32,20)c(24,48,12)-s(24,40,20)s(40,40,20)+*
s(32,32,28)s(40,16,12)t(32,40,28)+s(16,24,20)+*
c(32,32,20)s(24,32,28)*t(40,48,20)s(40,24,28)--
s(40,24,28)c(40,40,20)s(24,40,20)-+s(48,40,20)-
t(24,40,28)t(40,24,20)s(32,24,20)t(24,32,28)*+-
s(40,16,20)s(32,40,28)s(32,24,28)*-s(32,24,28)+
s(24,16,12)s(48,48,12)t(24,48,28)t(48,24,12)+++
s(48,32,20)s(24,32,20)+t(32,40,20)-t(16,32,12)-
s(40,40,28)t(32,48,20)c(24,40,20)*-t(40,24,12)-
c(24,24,20)s(8,8,12)+t(32,24,20)t(40,40,12)+*
s(32,24,20)t(32,32,28)c(32,40,20)+*s(32,40,20)*
s(32,32,20)s(32,24,20)+s(24,8,12)-s(24,32,28)*
s(24,40,20)t(16,24,12)+s(32,40,12)-s(32,32,28)*
s(8,48,12)c(40,24,20)c(32,16,12)-s(40,24,12)-+
s(32,40,20)c(16,24,12)t(48,56,12)+s(48,48,20)--
s(40,40,28)s(24,48,20)t(24,32,20)--s(24,32,28)*
s(48,48,20)t(16,40,12)+t(32,40,28)*s(48,32,20)+
t(40,24,20)s(16,24,20)s(8,16,12)c(24,32,20)+*+
c(24,40,20)c(32,24,12)+s(32,24,20)*s(40,48,20)-
s(16,16,20)c(24,32,20)s(24,32,28)s(40,24,12)-*-
c(40,32,20)s(48,16,12)s(24,32,20)+*c(32,48,12)-
s(48,48,20)s(8,32,12)+t(48,56,12)s(48,24,20)++
s(32,16,20)s(48,32,12)+s(40,24,28)c(40,32,20)**
t(24,32,28)s(32,32,28)s(48,40,12)t(24,32,20)+*+
s(16,32,20)t(24,32,12)-t(40,40,20)+s(8,48,12)-
s(24,24,12)s(16,32,12)+s(16,24,20)c(24,24,20)**
s(40,24,20)s(48,48,20)-t(24,40,28)c(32,32,20)+*
s(32,40,20)c(40,24,12)t(32,48,28)+s(32,24,28)**
s(32,8,12)s(8,48,12)+s(24,32,20)c(32,16,12)-+
c(32,32,28)c(40,40,20)t(48,32,12)--s(48,40,20)-
s(32,40,28)c(48,24,12)-t(24,40,12)-c(32,32,20)*
s(24,16,20)s(48,40,20)s(40,16,20)+t(32,48,20)-*
s(40,40,28)t(32,40,28)*s(32,40,20)*t(40,32,12)-
s(16,48,20)t(32,48,12)+s(40,16,12)+c(40,48,12)-
s(48,48,20)s(24,40,20)c(32,32,20)*s(48,32,20)+*
s(24,32,28)c(40,24,20)+c(48,24,12)-s(8,40,12)-
t(24,32,20)c(24,24,20)c(32,32,20)s(40,32,28)+**
s(8,24,12)c(32,40,20)+s(40,24,28)*s(16,48,20)+
t(24,32,12)c(24,40,20)t(24,32,20)-+s(24,48,12)-
c(32,40,20)c(32,32,20)*t(24,32,28)*s(40,32,20)*
t(32,48,20)s(24,24,20)s(8,24,12)-+s(16,16,20)-
t(32,32,20)s(32,48,12)-s(32,8,12)+c(16,32,12)-
t(24,32,28)t(48,32,12)+c(48,40,12)s(40,32,12)+-
s(48,16,12)t(40,40,12)+s(32,40,12)s(16,16,12)+-
s(24,40,20)c(24,16,12)s(40,40,12)+-c(32,32,20)*
s(32,32,28)c(40,16,12)s(32,24,20)+s(48,40,20)--
s(24,24,28)c(24,32,12)s(48,24,20)+s(32,40,28)**
s(32,32,28)t(32,24,12)t(40,48,20)+-s(32,40,12)-
t(32,32,28)s(24,24,28)+c(48,32,12)-t(32,32,12)-
c(48,32,12)t(24,40,28)+c(32,40,12)-s(48,48,12)-
t(32,32,20)s(24,48,12)c(40,32,12)+c(24,32,12)-+
s(40,24,28)s(24,48,20)-t(32,56,12)s(32,24,28)+*
s(32,32,20)c(40,24,20)s(24,16,12)+*s(48,8,12)+
c(40,32,20)t(48,32,12)-s(48,16,12)-s(40,24,28)*
c(40,32,20)s(40,48,20)*s(24,40,20)c(40,32,12)-+
c(32,32,20)s(32,24,20)*t(32,40,12)+t(24,40,12)-
s(24,48,20)t(24,40,28)s(16,16,20)c(24,40,12)+*-
s(40,40,28)s(24,24,12)s(32,32,28)s(48,40,20)*+*
t(40,24,20)s(48,48,20)t(32,40,12)+s(32,48,12)--
t(40,32,20)s(32,16,20)s(32,40,28)s(40,48,12)-+*
s(32,32,28)t(24,48,28)s(24,40,20)*-s(48,16,20)-
s(48,8,12)t(16,40,12)+s(32,16,12)+s(32,48,12)+
t(32,32,28)t(40,32,20)-s(40,40,12)+s(40,32,20)*
t(16,32,12)s(40,24,28)c(24,24,20)*t(32,32,28)*+
s(40,32,20)s(8,48,12)+s(48,24,20)*s(48,16,12)+
s(24,24,12)t(32,48,20)+t(24,40,28)*c(40,40,20)*
t(24,32,28)s(24,48,12)-s(32,24,28)*t(40,40,20)-
c(24,24,20)s(24,40,28)*s(32,8,12)+s(32,16,12)-
s(24,24,20)t(32,48,28)c(16,48,12)+-s(16,8,12)-
c(40,40,20)s(16,16,20)+c(32,24,20)t(32,24,12)-*
c(24,40,20)c(40,24,20)s(24,40,20)+*t(32,32,28)*
s(32,24,28)t(32,32,28)-s(24,40,28)s(48,24,20)--
s(24,32,20)c(40,32,12)s(32,40,20)s(40,32,28)*+*
s(40,32,28)c(24,40,20)-s(32,24,28)s(16,16,20)-*
c(40,32,20)s(32,24,12)s(16,48,20)+c(24,24,20)*-
s(24,32,28)c(40,24,20)-t(24,48,28)*t(40,48,12)+
t(32,40,20)s(48,40,12)+c(16,40,12)-s(24,40,28)*
c(40,32,20)s(8,40,12)c(48,24,12)+s(32,24,12)+*
c(24,24,20)s(24,24,20)t(24,32,28)*-s(24,32,28)*
t(24,32,28)c(24,24,20)*c(32,32,20)+t(24,48,20)-
c(24,40,20)s(48,48,12)t(16,16,12)+s(40,32,28)+-
s(32,32,20)c(32,32,20)c(32,40,12)-*s(16,40,12)-
s(32,40,20)t(32,56,12)+s(32,40,28)s(48,40,20)-*
s(48,32,20)s(40,32,12)t(32,32,12)+-s(32,32,20)-
s(8,32,12)s(48,24,20)s(32,24,20)*c(40,32,12)++
s(40,32,28)s(24,32,28)t(40,32,12)-*s(48,16,20)-
c(32,24,12)t(24,48,28)s(48,40,12)++c(48,32,12)-
s(16,32,20)s(24,24,28)s(32,32,12)-c(32,24,12)-*
s(24,40,28)c(40,40,20)s(40,48,20)*s(32,32,28)*-
c(40,40,20)s(40,16,20)s(32,24,28)+c(24,24,12)-*
s(32,40,28)c(40,24,20)-c(24,32,20)s(40,24,12)-*
s(8,32,12)s(48,24,20)c(40,40,20)s(40,32,28)*-+
t(32,24,12)s(16,32,20)+c(32,32,28)*t(32,40,28)-
s(40,24,20)t(32,40,20)+s(32,32,28)*s(32,24,12)-
s(16,16,20)s(24,40,20)-c(40,40,12)+s(8,48,12)+
s(24,24,20)t(32,32,28)t(32,48,20)c(24,40,20)*-+
s(24,40,28)s(48,24,20)-t(24,24,20)s(40,32,12)--
s(32,40,28)s(24,40,28)t(16,32,12)-s(8,16,12)+*
s(16,16,20)s(40,40,28)+t(32,40,20)s(24,24,12)--
s(40,16,20)s(32,40,12)+s(24,48,20)t(24,40,28)*-
s(24,40,28)c(48,32,12)+c(24,24,20)*s(16,24,20)*
t(32,32,20)c(24,48,12)c(24,32,20)c(24,40,20)*++
c(40,32,20)c(40,40,20)*c(40,24,20)t(24,24,20)+*
t(32,32,28)c(24,40,20)t(32,40,28)*s(32,24,20)+*
s(32,32,12)c(48,48,12)s(16,48,20)++t(32,32,20)*
s(40,24,20)t(24,32,28)s(48,16,20)+s(32,48,20)+*
t(32,56,12)t(32,24,12)+s(40,48,20)s(24,32,20)-+
c(32,24,12)t(40,32,20)+s(24,40,12)+s(32,24,12)-
s(8,40,12)s(48,40,12)+s(40,48,20)t(40,24,12)++
t(24,40,28)s(24,32,20)+s(40,24,20)-c(32,24,20)-
s(24,32,28)s(32,32,20)s(24,8,12)+s(24,40,20)+*
s(32,32,28)c(32,24,12)-s(40,40,20)-s(24,48,12)+
s(40,48,20)c(32,48,12)-c(40,24,20)t(24,32,28)*+
s(16,24,20)c(40,40,20)c(32,32,20)*s(24,40,20)++
c(16,16,12)s(32,40,20)c(16,40,12)-+c(24,40,20)*
c(40,40,20)c(32,32,28)s(32,24,20)c(40,32,20)+--
c(48,24,12)t(24,48,20)+t(48,16,12)s(32,32,20)+*
s(48,48,20)s(48,32,20)c(32,32,12)--s(32,32,28)+
c(32,24,20)s(40,40,20)-t(32,32,20)c(40,24,20)*-
s(24,16,20)t(32,40,28)-t(48,48,12)t(24,56,12)++
s(40,16,20)c(24,32,20)t(24,48,28)*c(40,40,20)+-
s(32,40,28)c(24,24,20)c(40,40,12)-c(24,24,12)--
t(48,32,12)c(16,40,12)+s(48,48,12)+s(48,40,20)-
t(24,40,20)s(16,16,12)+t(32,48,20)+s(40,40,20)-
c(40,32,20)c(24,40,20)*s(32,24,28)c(24,32,12)-+
c(24,24,20)s(24,8,12)-s(40,24,20)*s(24,48,12)+
s(40,32,12)t(24,32,20)s(32,48,20)c(40,24,20)--+
c(24,24,20)c(32,32,20)c(40,24,20)*c(40,40,12)-*
s(32,24,20)s(24,40,20)t(32,32,20)s(48,32,12)-+*
s(40,16,20)s(40,40,20)s(16,40,12)s(40,8,12)+++
c(32,40,20)t(32,40,12)-s(24,16,20)-c(48,32,12)-
t(24,24,12)t(24,40,20)+t(40,48,20)s(48,24,20)--
c(32,40,20)t(24,40,28)t(32,40,12)-*s(16,48,12)-
c(32,32,20)c(32,40,20)*t(40,48,20)c(24,24,20)--
s(24,8,12)s(24,32,20)t(40,24,20)s(48,24,20)+-+
s(24,40,28)s(48,32,20)c(48,40,12)s(48,16,20)+*+
s(40,40,20)s(48,48,12)-s(24,40,20)*s(40,48,20)+
c(40,40,20)s(40,32,28)+s(24,40,20)t(24,40,28)**
s(40,32,28)s(48,24,12)-s(40,40,28)+c(32,32,28)*
s(16,8,12)s(40,48,20)+t(24,48,28)-c(32,24,12)+
s(40,40,28)s(32,24,12)-c(40,24,20)s(8,8,12)++
s(32,32,28)s(40,16,20)-t(24,48,28)t(32,32,20)-+
s(32,24,28)s(8,16,12)t(16,48,12)+s(16,48,20)+-
t(16,16,12)t(32,40,28)+c(32,40,20)*s(32,48,20)+
s(32,40,20)t(32,24,12)-c(24,32,12)+s(40,48,20)-
t(16,40,12)t(32,32,20)s(48,16,20)s(40,32,28)*-+
s(32,32,20)s(48,8,12)+s(24,16,20)s(48,16,12)+*
c(32,32,20)t(24,40,28)+t(24,32,28)s(40,48,20)-*
s(8,32,12)c(40,24,20)+s(24,40,12)+s(16,32,20)-
c(40,32,20)c(32,24,12)t(24,48,28)s(16,48,12)-+-
s(32,24,20)c(32,32,20)*s(24,40,28)s(32,32,12)--
s(24,24,20)t(32,24,12)-s(32,48,20)c(32,32,20)*-
s(40,40,28)t(40,48,12)s(24,16,20)s(24,24,20)*+*
s(32,40,28)c(16,32,12)-s(16,24,20)s(24,48,20)+*
s(16,16,20)t(24,40,28)s(48,40,20)s(32,40,12)---
s(40,32,28)s(24,24,20)t(32,40,28)+s(32,24,28)**
s(32,24,28)c(24,24,20)s(40,32,28)+s(40,40,20)-*
t(24,40,28)s(40,24,28)-c(32,40,20)s(40,32,28)*-
s(40,24,28)s(32,16,20)c(40,24,12)+s(24,40,20)+*
s(48,24,20)c(24,32,20)+c(40,32,20)s(48,40,20)**
s(24,32,12)c(40,32,12)t(16,48,12)++t(32,32,20)*
s(24,32,20)t(24,40,20)+s(32,24,20)t(40,40,20)--
s(32,24,12)t(24,40,20)c(40,48,12)+s(40,40,20)++
s(16,8,12)c(24,16,12)+s(24,24,12)+t(24,40,28)-
c(16,16,12)t(24,32,28)s(24,16,20)-+c(24,32,12)-
t(24,48,28)c(40,40,12)-s(24,48,20)*c(40,32,12)+
s(48,40,20)c(32,40,20)+s(24,40,28)c(40,48,12)-*
s(40,40,28)s(48,24,20)+s(40,24,20)-t(32,48,20)*
c(40,24,20)t(32,48,20)+c(24,40,20)s(24,24,28)**
s(48,32,20)t(16,24,12)s(32,24,12)+-t(48,40,12)-
c(16,24,12)s(24,24,12)+s(40,48,20)+s(24,24,20)*
s(48,40,12)c(24,24,20)+s(16,32,20)s(24,48,20)-*
s(32,16,20)c(32,40,20)c(40,32,12)-s(48,40,20)-+
t(32,40,12)t(24,16,12)+c(40,32,20)+s(48,16,20)-
s(32,32,28)s(32,48,20)t(16,40,12)+-s(48,24,20)*
t(16,56,12)t(32,56,12)t(40,24,20)+s(32,24,12)-+
s(24,32,28)s(32,24,28)*c(24,24,20)s(16,40,20)-*
c(24,40,20)s(16,48,12)s(48,40,20)+-s(40,48,20)+
c(40,24,20)s(48,40,20)s(48,24,20)*-s(8,16,12)+
s(48,48,20)c(24,40,20)t(24,32,28)*+c(32,48,12)-
s(32,32,28)c(32,40,12)s(48,48,20)+*s(24,24,20)-
s(32,32,28)c(40,48,12)t(24,32,28)+*s(32,48,20)-
s(24,16,12)s(40,32,28)t(40,48,20)s(16,16,12)+*+
c(32,32,20)s(16,16,20)+s(16,48,20)s(32,40,28)*-
c(40,24,20)t(40,40,12)-t(24,40,28)s(32,8,12)+-
s(16,48,20)s(40,32,20)+s(40,24,28)*s(48,24,20)*
c(40,24,20)s(32,24,12)-c(40,24,12)s(32,40,20)+*
c(32,24,20)c(24,24,12)-s(24,24,28)t(24,32,28)*-
s(24,40,28)s(40,32,20)-s(40,40,28)t(48,24,12)-*
t(32,48,28)t(48,24,12)c(32,40,12)+t(32,48,12)+-
t(32,40,28)t(32,48,28)c(32,40,20)s(16,32,20)-**
c(24,40,20)c(16,16,12)t(32,48,20)+*t(32,56,12)-
t(24,48,28)s(32,24,20)+s(32,16,12)-t(32,40,12)-
s(40,24,28)c(40,32,20)s(48,24,20)-+s(32,24,28)*
s(16,24,20)s(40,40,28)s(32,48,20)t(40,48,20)-+-
c(32,32,28)c(48,40,12)-s(40,40,28)t(32,40,20)-*
s(32,16,20)c(48,48,12)+s(32,32,20)+c(32,24,20)*
c(32,48,12)s(32,16,12)+s(32,48,20)+s(32,32,20)-
c(32,32,20)s(32,24,28)s(16,32,12)-+t(24,24,20)-
s(24,40,12)s(24,32,28)t(32,32,20)c(16,40,12)+-+
c(24,24,20)c(40,32,20)s(16,48,12)t(40,16,12)+-*
s(16,32,20)c(32,32,28)*s(24,24,12)-c(24,24,12)-
s(16,24,12)s(24,48,12)+t(32,32,28)c(48,16,12)+-
t(24,40,20)t(24,24,20)+c(24,32,12)-c(16,48,12)+
s(40,16,20)c(32,40,12)+s(40,48,12)-c(32,32,28)*
s(16,24,20)c(32,32,20)c(32,40,20)c(48,48,12)---
s(32,32,20)s(8,24,12)t(16,32,12)+-c(40,32,20)*
s(48,32,20)c(40,40,20)*s(40,48,12)-s(48,24,20)*
s(48,40,20)c(40,32,20)s(32,8,12)s(40,24,12)+-*
s(40,48,20)t(40,40,20)s(40,16,20)s(24,24,28)*+*
s(40,40,28)s(24,24,20)-c(24,40,12)-s(32,32,28)-
s(24,40,20)s(32,32,20)*s(40,40,28)s(24,40,20)**
c(32,24,20)s(48,16,20)*s(16,40,20)+s(32,40,12)+
c(24,32,20)s(40,40,28)*c(40,32,20)*s(32,40,20)*
s(40,32,28)t(40,56,12)+s(16,48,20)-t(32,32,12)-
c(48,40,12)c(40,24,20)+t(24,16,12)s(40,24,20)+-
c(32,40,20)s(32,32,20)s(24,48,20)s(32,48,20)*+*
t(40,24,20)c(24,32,20)s(40,40,28)t(24,40,28)-+*
s(40,24,20)s(24,24,28)c(32,32,28)c(40,24,20)--*
t(32,24,20)c(40,32,20)*t(32,48,20)+c(16,48,12)-
s(24,40,20)t(32,40,28)c(32,24,20)+c(40,48,12)-*
s(32,48,20)t(24,32,20)-s(40,40,28)s(40,16,12)+*
t(32,48,28)s(40,32,28)-s(40,40,20)+t(48,48,12)-
s(48,40,12)s(16,16,20)+t(24,32,28)*t(32,24,20)+
s(24,40,20)s(32,24,28)s(32,40,28)t(32,40,12)-*-
s(24,48,20)s(24,40,20)s(32,32,28)s(40,16,20)-**
s(32,32,20)c(24,32,20)s(24,16,20)+s(32,16,20)-*
c(40,40,20)s(32,40,28)s(24,24,20)*t(40,32,12)--
s(32,40,28)c(32,32,12)-t(40,40,20)-c(32,24,20)-
s(32,40,12)t(40,56,12)+s(32,32,20)+t(24,48,12)+
s(32,24,20)s(24,24,12)s(16,40,20)++t(32,40,28)-
s(48,16,20)s(16,48,12)s(32,16,12)+t(32,48,12)+-
c(32,32,12)s(48,16,20)s(48,24,12)-+t(32,24,20)-
s(24,16,20)t(32,24,20)+t(40,48,20)+s(16,32,20)+
s(32,32,28)t(16,56,12)c(24,32,20)+*c(40,40,20)-
s(48,32,20)s(32,48,20)+t(32,32,28)c(48,32,12)--
t(32,24,20)s(48,40,20)s(24,40,20)-+s(40,32,20)*
s(40,40,28)s(40,24,28)c(40,24,12)-c(32,24,20)*+
c(32,24,20)c(40,16,12)-t(32,40,20)+s(24,24,28)*
t(48,24,12)s(24,16,20)t(32,32,28)t(32,40,28)*++
t(24,40,20)t(24,16,12)s(32,32,20)+s(40,24,20)-+
t(24,48,20)s(24,40,20)s(24,24,28)+*s(32,32,20)+
c(40,24,20)s(16,32,20)-s(48,48,20)s(48,8,12)+-
c(32,32,28)s(16,24,12)c(32,16,12)+c(32,32,20)+-
c(40,32,20)t(24,24,20)-t(40,32,12)-t(24,40,20)-
s(24,40,28)t(24,24,20)*s(48,48,20)+s(40,32,20)*
c(32,40,12)s(40,24,20)t(16,16,12)++s(40,40,28)-
s(32,40,28)c(24,32,20)*c(24,24,12)-s(24,40,20)*
c(32,40,20)s(48,24,20)s(24,24,28)-c(32,32,12)+*
s(40,32,28)t(24,40,28)s(24,32,20)--t(24,32,12)-
t(24,32,20)t(32,48,20)+t(32,24,20)+s(32,48,20)*
t(24,32,28)s(24,16,20)-s(24,40,28)s(32,40,28)**
s(24,24,28)c(40,24,12)c(24,24,12)+t(24,32,28)+-
s(32,40,28)s(16,40,20)s(24,16,12)+*t(32,48,20)-
t(40,48,20)s(40,40,28)t(24,32,20)+c(32,32,12)-*
t(40,48,20)s(24,32,28)+s(32,32,28)t(40,48,20)-*
c(40,24,20)s(48,24,12)-s(40,24,20)*s(32,24,20)*
c(32,32,20)s(40,32,28)t(24,40,20)--s(32,24,28)*
s(32,16,12)s(40,24,28)t(40,24,20)-+s(32,24,28)*
c(32,24,20)t(32,40,28)s(48,8,12)+*t(40,16,12)-
s(32,16,20)s(32,24,20)s(24,24,20)**c(16,16,12)+
s(32,32,20)t(40,16,12)-t(24,40,12)s(16,16,12)++
c(32,32,28)c(32,24,12)-s(24,40,28)t(32,48,28)*-
c(32,24,20)c(40,32,20)*s(40,40,28)*c(40,40,20)*
s(32,40,20)s(32,40,20)c(16,24,12)+s(16,48,12)-*
s(32,24,20)t(24,24,20)*s(24,40,20)+t(40,48,20)-
t(48,24,12)t(24,32,28)+s(32,40,20)s(24,32,28)*+
t(24,48,20)c(48,32,12)+s(24,48,20)*c(24,32,12)-
t(40,48,20)s(48,40,12)c(40,48,12)++s(40,32,12)-
s(32,32,28)s(24,24,28)*c(40,24,20)c(40,40,12)-*
c(32,32,20)s(40,32,28)s(16,16,20)c(48,16,12)+-*
c(40,40,20)s(32,32,12)s(48,24,12)++c(40,32,20)*
s(32,24,20)s(16,40,12)+s(40,24,20)t(32,40,28)+*
s(48,48,20)c(16,16,12)+s(32,40,20)-s(16,16,12)-
c(32,40,20)t(32,40,12)-s(24,48,20)c(32,40,12)--
s(8,40,12)s(32,32,28)c(32,24,20)+s(48,40,20)*+
c(32,32,20)s(16,40,20)*s(40,32,28)s(40,32,20)-+
c(24,24,20)s(40,24,28)s(40,40,20)*t(40,16,12)++
s(16,32,20)s(24,24,12)-s(24,40,20)t(32,32,28)*+
s(32,24,28)s(16,16,20)s(24,40,20)+*t(32,40,20)-
t(32,32,20)t(32,24,12)s(48,40,12)t(24,48,20)++*
t(40,24,20)t(32,40,28)+t(24,48,20)c(40,48,12)++
t(24,32,20)t(32,32,28)*t(24,56,12)+c(24,40,20)*
c(40,32,20)t(16,40,12)+s(48,16,20)+s(16,24,20)-
c(40,40,20)s(48,40,20)*s(24,32,20)s(40,32,20)*-
s(24,48,12)s(32,24,20)s(40,24,20)s(48,16,12)-*+
s(32,48,20)s(24,40,28)*t(32,32,12)s(32,48,12)+*
s(8,48,12)s(40,32,20)c(32,24,20)c(40,40,20)-++
t(24,32,20)c(24,32,12)s(48,40,20)+c(16,24,12)+*
s(40,8,12)c(48,40,12)+t(24,40,20)s(40,24,20)+-
t(32,48,12)t(32,32,28)c(24,16,12)c(48,40,12)+*+
s(40,24,28)s(24,24,28)s(40,32,20)s(24,32,20)*-*
s(48,24,20)s(32,16,12)t(40,40,20)+c(32,32,12)--
t(24,40,20)s(48,40,12)+t(40,32,20)s(8,8,12)+-
c(24,32,20)c(32,32,28)s(40,48,12)t(32,40,20)+-*
c(40,32,20)c(40,40,20)*c(40,32,20)t(48,40,12)-*
c(32,32,20)s(32,16,12)-t(24,40,28)t(24,32,28)*-
c(24,40,20)c(24,32,12)-s(24,24,20)s(40,40,28)++
t(32,40,28)t(40,56,12)t(48,48,12)+-t(40,24,12)+
t(40,56,12)t(32,40,28)+s(40,48,20)*t(24,56,12)+
c(40,24,20)s(24,40,28)s(8,16,12)s(16,24,12)++*
c(24,48,12)c(40,40,12)+t(32,40,28)s(48,40,12)-*
c(32,16,12)s(40,40,20)c(40,24,12)+c(48,32,12)-+
s(32,32,28)t(32,48,28)s(48,40,20)--t(40,32,12)-
s(24,24,28)c(40,32,20)*s(8,48,12)+c(40,24,20)*
s(32,32,20)c(24,32,20)c(24,24,20)+s(24,40,12)-*
t(24,24,20)t(24,40,28)t(32,40,28)*t(32,48,28)*-
s(40,16,20)c(16,16,12)c(24,32,12)c(40,24,12)++*
s(24,40,28)t(16,40,12)-s(24,32,28)*s(32,32,28)*
t(32,48,28)c(32,40,12)t(16,56,12)+s(48,40,20)+*
c(24,16,12)t(32,40,20)+s(16,16,12)s(24,48,12)+-
s(40,32,28)c(40,40,20)c(24,40,20)**t(24,40,28)*
s(48,40,20)s(32,24,12)s(32,32,28)s(24,40,28)-+-
c(48,24,12)t(24,48,28)+t(24,56,12)t(24,16,12)+-
s(32,40,28)s(16,48,12)-s(24,24,20)*s(40,8,12)+
s(16,32,20)t(32,48,12)s(32,24,20)c(40,24,20)*+-
s(40,32,20)c(48,24,12)s(48,40,20)c(40,24,12)-+*
s(40,32,28)s(48,32,20)t(40,16,12)-*s(48,40,12)-
s(16,48,20)s(32,48,12)t(48,40,12)++s(16,24,20)+
s(24,40,28)t(24,32,28)t(32,48,28)*-c(32,40,20)-
s(16,16,12)t(24,24,20)t(40,16,12)+c(32,16,12)-+
c(24,24,20)t(40,32,20)+s(32,32,20)-s(40,40,20)-
c(40,24,20)c(24,24,12)+t(24,56,12)+t(24,32,20)-
s(32,16,20)c(32,32,20)c(32,48,12)-c(32,40,12)--
s(32,32,20)s(40,32,20)*t(24,32,12)+s(40,40,28)*
s(24,40,20)s(24,32,12)s(16,32,12)+c(24,32,12)+-
s(24,48,20)t(32,48,28)t(48,56,12)s(24,32,20)+*-
c(32,32,28)t(32,48,28)s(16,16,20)+s(16,48,20)-*
c(32,48,12)t(24,32,12)t(40,48,12)++s(40,40,20)*
s(32,32,20)s(24,16,12)+t(40,48,20)+s(40,40,28)*
s(24,32,28)t(32,48,20)t(32,40,28)*-t(24,40,20)+
c(32,32,28)c(24,32,12)-t(32,40,28)c(40,32,12)-+
s(40,40,20)s(32,16,20)-c(32,24,20)s(32,32,20)*-
s(8,32,12)s(40,24,28)+t(32,40,28)-c(40,32,12)+
s(24,40,28)s(24,32,28)c(40,40,20)s(40,32,28)*-+
s(24,40,28)s(40,32,28)s(32,48,20)*-c(24,16,12)-
t(32,48,28)s(24,48,20)s(40,40,12)-c(40,48,12)-*
s(48,16,20)s(32,32,12)t(24,32,28)s(40,32,12)-++
s(32,32,20)s(40,48,20)c(32,40,20)*t(32,40,12)--
t(32,24,20)c(24,32,20)s(40,24,28)s(8,8,12)+**
c(40,32,20)t(24,48,28)s(16,40,20)s(32,48,12)---
s(24,48,12)c(32,16,12)c(16,32,12)++s(32,48,12)+
c(32,24,20)s(40,32,20)*s(48,40,12)-c(24,48,12)+
s(32,32,20)t(32,40,28)c(24,32,20)c(32,48,12)-**
t(24,24,20)t(16,16,12)-t(40,16,12)+s(24,40,12)-
t(32,48,12)s(40,32,20)s(24,24,12)t(48,16,12)+-+
s(40,32,28)s(32,24,20)s(48,48,20)+t(24,24,20)-+
t(40,24,20)t(16,56,12)+t(24,40,28)s(24,40,20)*-
t(24,48,20)t(24,32,20)s(40,48,20)++t(32,32,20)*
s(40,32,28)t(24,48,28)s(32,40,20)t(48,48,12)+**
c(32,40,20)s(24,40,20)-s(16,24,20)+c(24,24,12)-
s(40,24,20)s(32,40,28)s(16,40,20)s(40,32,28)+**
c(48,40,12)t(24,48,28)+s(48,24,20)c(32,24,12)+-
s(40,32,20)s(32,40,12)-s(32,40,20)t(32,48,12)--
c(40,32,20)t(32,40,28)s(32,32,28)s(24,40,20)**-
c(32,32,20)s(40,24,12)c(24,16,12)+-s(40,24,20)-
c(32,40,20)s(48,16,12)s(24,32,20)s(40,24,28)*+*
t(40,48,20)t(40,32,12)+t(24,16,12)+s(16,16,12)+
s(24,40,28)s(8,24,12)-s(40,16,20)+c(40,24,20)*
t(40,48,20)t(24,40,20)+s(16,48,20)*s(32,24,20)+
c(32,24,20)s(24,48,20)-t(48,24,12)c(32,24,12)+-
t(32,32,28)c(16,24,12)t(32,40,20)t(16,24,12)++*
s(32,32,28)s(32,32,28)s(16,32,20)t(24,32,28)**-
s(48,16,20)c(32,32,28)*c(40,40,20)c(24,32,20)--
s(32,24,20)s(16,16,12)+t(40,16,12)-c(24,32,20)*
t(24,40,28)s(32,32,20)*s(24,40,20)c(40,32,12)+*
s(32,32,20)t(32,40,12)s(24,16,12)+t(48,40,12)+*
t(32,32,28)c(32,32,12)s(40,24,20)+*t(24,32,12)-
c(40,32,20)t(32,48,20)t(24,48,12)-+t(32,40,28)-
t(32,40,28)s(32,32,28)s(40,16,20)*t(24,32,20)+-
s(40,24,28)t(40,40,20)-t(40,32,12)+t(40,32,12)-
s(24,24,28)c(24,32,12)s(8,24,12)+s(16,40,20)*-
s(32,32,20)c(24,40,20)*s(48,48,20)+t(24,40,12)-
c(40,24,20)c(32,32,20)t(32,32,20)-c(32,40,12)--
t(24,40,20)s(48,40,20)c(16,40,12)c(48,40,12)+--
c(24,32,20)s(40,24,12)-t(16,32,12)-s(24,40,20)*
t(32,24,20)s(32,32,20)+t(40,40,20)s(16,16,12)+-
t(48,48,12)t(24,40,28)+t(32,32,20)c(40,40,20)*-
t(24,40,28)s(32,40,28)c(32,48,12)c(40,32,20)+**
s(16,40,20)s(24,32,20)s(32,32,12)-s(32,16,12)--
s(48,32,20)t(40,48,20)s(24,48,20)s(32,48,20)*+-
s(24,32,28)s(24,32,28)t(24,16,12)-s(24,48,12)--
s(32,24,28)t(16,24,12)-t(32,32,28)c(32,40,12)--
s(24,40,20)s(40,32,28)c(24,24,20)*s(32,40,12)+*
c(16,48,12)t(24,48,28)c(24,40,20)*+t(40,48,12)+
c(40,16,12)t(40,40,12)+c(40,24,20)*s(24,40,20)-
t(24,48,28)s(40,16,12)+s(40,40,20)s(48,32,12)--
t(24,40,20)s(24,32,28)s(32,48,20)*s(24,24,12)+*
s(48,8,12)t(32,32,12)+c(24,40,20)t(24,48,12)-+
s(40,32,20)s(32,24,28)c(16,48,12)+s(40,40,28)*+
t(24,48,28)t(32,24,12)+s(24,40,28)c(24,32,12)-*
s(24,16,20)s(32,32,28)s(32,16,20)+*s(16,32,20)+
c(40,48,12)c(32,24,20)s(40,32,20)c(24,32,20)+*+
s(8,16,12)t(24,40,20)c(40,40,20)++t(40,48,12)-
c(24,32,20)c(40,40,20)*t(48,40,12)+t(32,48,28)*
c(32,32,28)t(32,48,28)c(40,40,20)*s(24,40,20)*-
c(16,48,12)c(40,24,20)s(40,40,20)t(32,40,20)+-+
s(40,24,28)t(16,24,12)c(48,48,12)+-c(40,32,12)-
s(8,16,12)c(24,40,20)t(40,24,12)+s(24,24,12)-+
c(32,24,20)s(48,40,20)+s(32,48,20)+s(32,16,20)*
t(48,32,12)c(48,24,12)c(40,16,12)++t(32,40,28)-
s(24,40,28)c(24,32,20)s(32,32,28)*s(48,48,20)-*
c(24,48,12)t(40,32,12)c(16,48,12)+t(32,40,28)*+
t(32,40,28)c(40,40,20)c(32,24,20)t(32,40,12)---
s(48,16,20)c(48,48,12)c(32,32,20)s(24,24,20)*+-
t(24,48,28)s(32,32,28)-t(32,48,28)+s(40,40,12)-
t(32,24,20)t(32,48,28)+t(24,40,20)*s(16,48,12)+
s(40,24,28)c(24,40,20)c(32,24,20)*-c(48,16,12)-
s(40,16,20)t(32,32,28)s(32,40,28)t(40,32,12)-+*
s(48,40,20)t(40,24,20)-t(32,48,20)+c(40,32,20)+
c(32,40,20)t(40,32,20)-t(16,56,12)+c(16,24,12)-
s(40,24,28)t(24,40,28)*c(40,40,12)+t(24,40,28)*
t(24,48,20)t(16,56,12)t(32,40,28)c(32,40,20)*+*
t(24,48,20)t(24,24,20)+t(24,16,12)-c(24,16,12)+
s(40,32,20)s(16,40,12)s(48,32,20)t(32,40,20)-+-
c(40,40,20)s(48,32,12)-s(24,24,20)-c(32,16,12)+
t(32,24,20)s(8,24,12)c(40,48,12)+c(24,40,20)-+
t(16,40,12)t(24,48,20)t(32,40,12)-c(40,48,12)++
c(16,40,12)c(24,40,20)s(32,48,20)*+s(24,32,12)-
t(32,48,28)s(24,40,20)-s(40,32,28)+t(24,40,28)*
t(48,24,12)t(24,32,28)s(32,40,12)-t(32,40,28)-+
t(32,40,28)t(16,56,12)+t(24,32,20)-s(48,40,20)-
s(24,24,20)s(32,16,20)-s(24,40,28)s(32,40,28)*+
s(40,24,28)s(16,24,12)s(40,32,28)++s(40,40,28)*
t(24,40,28)t(24,48,12)c(24,24,12)c(40,24,20)++*
s(8,24,12)t(24,48,12)s(32,32,20)+s(16,40,20)*+
s(32,40,12)s(48,24,20)+s(40,32,20)t(24,24,20)+*
s(40,16,20)s(24,16,20)s(40,32,20)t(16,56,12)++*
c(40,48,12)c(40,32,12)s(24,8,12)+s(32,40,20)-+
c(40,24,20)t(32,32,20)t(24,40,28)+-t(40,40,20)-
s(40,40,20)t(24,48,20)-s(48,40,12)-c(40,48,12)+
s(32,24,28)c(24,32,20)*s(24,40,28)*t(40,48,20)-
t(24,48,20)t(32,32,28)s(48,32,20)++s(40,48,20)*
t(32,48,28)t(16,16,12)t(32,40,12)++t(24,40,28)*
t(32,48,12)s(16,48,20)t(24,16,12)t(24,40,12)+-+
s(48,40,20)s(24,40,12)c(32,32,12)++s(24,16,20)-
s(32,24,20)s(48,40,20)s(32,24,28)s(40,32,20)-++
t(24,32,28)t(40,32,20)-s(48,24,12)t(32,48,20)++
t(24,32,20)s(32,32,20)*c(16,40,12)+s(24,24,28)*
c(32,32,28)s(48,24,20)t(40,32,12)-s(40,24,20)+-
t(32,32,28)s(24,40,20)*c(24,48,12)s(32,24,20)+*
c(24,32,12)t(24,56,12)s(32,24,20)s(40,32,12)-++
t(32,32,20)c(32,40,20)s(24,24,28)*t(24,32,28)**
c(32,40,20)s(32,48,12)-c(48,32,12)c(32,40,12)+-
t(40,32,20)c(24,48,12)t(32,32,20)++s(40,40,28)+
c(32,32,28)s(48,48,20)s(24,48,20)s(40,48,20)*+-
s(24,24,20)c(32,32,20)+t(32,48,28)t(32,40,12)--
s(40,48,20)c(32,40,20)c(48,16,12)s(16,16,20)+-*
t(48,16,12)t(40,40,20)s(40,32,28)t(32,32,28)*++
c(24,40,20)c(32,40,20)s(24,24,20)--c(32,32,28)*
c(40,24,20)s(48,8,12)-s(32,24,20)s(24,32,28)**
s(32,32,28)s(32,24,20)-s(16,24,20)s(24,40,20)-+
s(40,40,20)c(40,32,20)s(40,24,28)t(24,16,12)-**
s(32,40,20)s(40,32,20)s(32,24,28)*s(40,16,12)--
t(32,40,28)s(24,16,20)-s(16,32,20)s(32,32,28)*-
s(24,32,28)t(24,40,28)t(40,32,12)+c(48,32,12)-*
s(32,16,20)s(40,40,28)s(40,32,28)s(48,24,20)+*-
s(48,32,12)s(16,32,12)s(16,48,12)++t(24,32,28)*
s(8,48,12)s(32,32,28)+s(48,32,20)t(24,32,28)--
s(24,48,20)c(48,40,12)s(24,32,20)t(48,40,12)++*
s(24,32,20)s(40,24,20)c(24,48,12)+c(40,32,20)*+
s(40,48,20)s(40,32,28)t(24,24,20)-t(32,32,20)--
c(40,24,12)c(32,48,12)+s(40,32,20)*t(32,32,12)-
s(24,48,20)c(48,48,12)+t(48,16,12)c(24,32,20)+-
s(24,32,12)s(24,16,12)+s(40,16,20)s(32,32,28)*+
c(24,40,20)s(32,48,20)s(40,32,20)t(24,48,28)--*
s(32,16,12)c(24,16,12)+s(16,8,12)+s(32,24,12)-
t(32,48,28)c(24,32,20)s(24,16,20)-s(24,48,20)+*
t(32,56,12)c(24,16,12)+t(24,40,20)-t(32,40,28)-
s(40,40,28)t(32,40,20)s(40,16,20)+*t(32,48,12)-
s(40,40,28)t(32,40,20)-s(40,40,20)+t(24,48,20)-
c(32,32,28)s(40,48,20)-t(40,40,20)+s(24,32,28)*
c(24,16,12)s(24,40,20)s(32,40,20)t(32,32,28)**+
s(24,40,28)s(32,48,20)+c(40,32,20)*t(32,32,20)*
s(16,24,12)s(48,40,12)+s(16,40,20)+s(32,40,28)-
c(16,16,12)t(16,48,12)t(32,32,28)c(32,40,20)*++
s(40,40,28)t(40,48,20)s(48,48,20)+-c(32,32,12)-
t(24,40,28)t(32,24,12)+s(8,40,12)-s(40,8,12)+
c(48,32,12)s(16,48,20)+s(40,32,12)s(48,40,12)+-
s(40,32,28)s(16,24,20)t(24,32,28)++s(32,40,20)-
s(40,48,20)c(24,32,20)c(40,32,20)s(24,24,20)--+
s(32,32,28)t(32,48,28)*s(24,40,20)*t(24,32,20)+
t(40,16,12)s(40,32,20)c(32,40,12)++c(32,40,20)*
s(48,40,20)s(40,32,12)-s(48,16,20)c(32,32,28)*-
t(40,24,20)s(32,48,20)t(32,48,12)-+c(24,24,20)*
c(40,48,12)c(32,24,20)s(24,40,12)s(48,32,12)+-+
s(40,48,20)s(32,32,28)c(24,40,20)*s(32,24,20)*-
s(40,16,20)s(32,24,20)*s(48,40,20)+t(40,32,20)*
c(40,32,20)s(40,24,28)t(24,48,28)+c(24,32,20)**
c(40,40,20)t(40,56,12)c(48,40,12)t(16,48,12)++*
c(32,40,20)c(32,32,20)*s(48,8,12)+s(32,24,20)*
s(24,24,12)s(40,32,28)t(24,24,20)-s(48,24,20)*+
t(32,48,28)s(32,16,20)+s(24,32,28)*c(32,40,12)-
t(24,40,20)s(40,40,28)s(24,32,20)*+t(40,48,12)+
t(24,48,20)c(32,24,20)s(40,40,28)s(32,40,20)---
t(16,24,12)s(24,32,20)s(32,40,12)s(24,24,12)+*+
t(48,16,12)s(32,40,28)s(32,32,20)-c(24,32,12)++
s(32,32,28)c(40,48,12)t(24,48,12)+*t(24,48,28)+
s(24,48,20)t(24,40,28)s(32,32,28)s(24,40,28)***
t(32,48,28)t(40,24,20)+s(40,32,20)c(32,24,20)**
s(40,40,28)t(32,32,28)*s(16,16,12)+t(40,40,20)*
c(32,24,20)s(24,16,20)*c(32,32,20)s(40,16,20)*+
s(16,40,12)c(40,32,12)+s(24,24,28)*t(16,40,12)+
s(16,24,20)t(16,48,12)t(48,40,12)s(8,32,12)+++
s(32,32,20)c(32,48,12)t(24,16,12)++s(24,32,20)-
s(48,48,20)t(32,32,28)c(48,48,12)c(32,24,20)+*-
s(48,16,20)s(32,40,28)t(40,32,20)*+s(24,24,20)-
t(32,40,28)t(32,32,12)s(24,48,12)t(48,32,12)++*
c(16,32,12)t(32,48,28)+t(24,32,12)-s(32,32,12)-
c(32,32,28)c(32,32,28)s(48,40,20)*-s(16,24,20)*
s(32,32,12)s(40,48,12)s(40,24,20)t(40,24,12)-++
t(48,56,12)s(32,32,12)+t(40,32,12)-s(48,48,20)+
s(24,40,20)t(24,24,20)+t(40,40,20)+t(40,32,20)-
t(40,56,12)t(24,24,20)+c(32,32,28)c(16,40,12)-*
c(40,24,20)s(48,48,12)s(24,32,20)s(24,16,12)++*
s(24,40,28)s(8,40,12)-t(40,48,12)s(40,8,12)+-
s(16,40,12)s(48,40,20)+s(16,32,20)-s(24,40,28)-
s(16,32,20)s(24,32,28)s(48,16,20)s(32,40,20)+*-
s(40,24,20)c(24,40,20)s(16,40,12)-s(40,48,20)*-
t(24,48,28)t(48,40,12)s(24,40,28)+s(24,24,28)*-
t(24,40,28)c(40,40,20)*s(40,40,28)s(24,32,20)-+
t(48,24,12)s(32,40,12)+c(16,40,12)+s(16,48,20)-
t(40,48,20)s(24,32,20)-t(24,40,20)c(24,24,12)--
t(16,16,12)s(40,40,20)t(24,40,12)-s(24,48,20)++
t(24,48,12)c(24,32,12)+t(24,40,12)t(48,56,12)+-
c(40,40,20)t(16,32,12)+s(40,24,20)*t(40,48,12)+
s(40,24,12)c(32,40,20)t(32,40,20)-s(24,40,28)*+
s(40,32,28)s(8,16,12)+c(24,16,12)-s(48,16,20)*
s(32,40,28)s(24,48,12)-s(32,32,20)c(24,40,20)*+
s(40,40,20)s(24,32,28)t(32,32,12)t(40,24,20)+*-
s(32,24,20)s(24,16,20)s(24,8,12)c(32,32,12)+*+
s(16,24,20)s(8,8,12)+s(8,16,12)-s(16,32,20)*
t(32,32,28)c(32,32,20)c(32,40,20)*s(48,32,20)-*
c(16,32,12)c(32,40,12)+s(48,8,12)t(24,40,28)+*
s(16,40,20)t(32,40,28)+s(32,24,20)*s(40,40,12)+
c(32,32,20)s(16,40,20)-s(40,24,20)+t(32,32,28)*
s(24,24,20)c(40,24,20)c(24,32,20)**s(48,32,12)+
c(24,32,20)s(40,40,28)s(24,40,20)*s(40,24,28)++
s(40,32,28)s(32,40,28)s(40,40,20)s(32,40,20)*-*
s(40,24,28)c(32,32,20)c(32,24,20)t(40,48,20)--+
s(40,32,28)s(48,16,20)+s(48,8,12)-t(24,24,12)-
s(24,40,28)s(24,40,20)t(24,32,20)*-c(32,32,20)-
s(24,40,20)s(40,8,12)+t(32,40,20)s(40,16,20)--
s(48,16,20)c(40,32,20)s(32,32,28)s(24,40,28)*+*
t(16,48,12)c(24,48,12)+s(32,32,20)c(32,48,12)--
c(24,24,20)s(24,32,20)*s(32,32,28)s(16,24,20)**
c(32,48,12)s(32,24,28)+s(24,24,28)s(16,32,20)**
s(48,24,20)c(32,40,12)c(40,40,12)++c(32,40,20)-
t(40,24,12)t(32,16,12)s(24,8,12)++s(32,16,20)*
c(48,32,12)s(24,24,20)+s(40,24,20)*t(24,32,12)+
s(24,48,12)c(40,32,20)s(24,40,20)s(40,32,28)*-+
s(40,40,28)t(32,40,28)t(24,48,28)+s(32,40,28)**
t(24,48,12)s(40,40,20)t(32,40,20)-+s(40,24,12)-
s(48,24,20)t(24,40,20)c(24,40,20)s(40,40,28)*+-
t(40,48,20)s(16,40,20)t(24,48,28)*t(32,16,12)++
s(16,24,20)s(24,32,12)-s(16,24,12)+c(24,32,20)*
s(32,48,20)s(24,24,28)+s(32,32,28)s(16,16,12)-*
t(40,16,12)c(40,24,20)c(32,32,20)*+c(40,32,20)*
c(40,24,20)t(48,16,12)-t(40,24,20)-t(48,40,12)+
t(32,32,12)t(24,48,28)+t(32,40,20)s(32,32,20)*-
s(32,24,28)t(32,48,28)-s(40,24,20)s(48,32,12)--
t(32,40,28)t(16,16,12)t(40,40,20)+*s(40,16,20)+
s(40,40,20)t(32,32,20)+s(16,40,20)s(24,32,20)*-
t(40,24,20)c(16,32,12)+c(32,32,20)*t(40,24,20)*
s(48,16,20)s(40,16,20)*s(40,48,20)+s(24,48,20)*
c(24,32,20)t(16,40,12)-c(40,24,20)c(32,40,20)*-
c(16,40,12)s(40,32,28)+s(24,40,20)*t(40,48,20)-
c(32,40,20)s(8,8,12)+s(16,32,20)+c(32,40,20)-
c(32,24,20)t(32,32,28)*t(24,48,20)t(40,32,20)+*
s(40,40,12)c(40,32,20)s(16,40,20)-t(48,40,12)-+
s(48,32,20)c(32,32,20)s(24,40,28)++c(48,24,12)-
s(24,24,20)c(32,24,20)s(16,16,20)s(40,24,12)+**
c(40,32,20)t(40,48,12)c(24,24,20)+s(32,16,20)*+
t(24,48,12)s(40,24,20)c(32,16,12)+s(24,32,12)-+
s(40,40,28)t(32,24,20)c(40,40,20)++t(32,40,28)*
c(32,32,20)t(24,40,28)*c(32,24,12)-s(16,24,12)-
s(24,24,20)c(32,24,20)+s(40,32,20)c(24,16,12)-*
s(32,32,28)s(40,32,20)-c(40,24,20)+s(40,40,28)*
t(24,32,28)c(32,24,20)s(32,48,20)-s(48,16,12)-*
c(24,32,20)s(40,24,28)s(24,40,28)*c(40,16,12)+*
t(24,32,28)s(32,16,20)s(24,40,28)s(40,40,28)*--
s(40,32,28)t(16,56,12)+s(40,40,12)-s(32,16,20)*
s(40,24,28)c(24,24,12)s(8,40,12)s(48,16,12)++*
c(32,40,20)s(40,40,28)c(40,16,12)+*s(24,24,20)-
s(48,40,20)s(48,48,20)*c(24,48,12)+t(32,40,20)*
c(32,24,20)s(32,40,20)c(40,24,20)t(24,24,12)---
s(16,8,12)s(40,16,20)+c(32,32,12)-c(40,24,12)-
s(16,48,12)c(32,32,12)+c(32,24,20)s(40,24,20)*-
s(32,32,12)s(16,40,12)+t(24,48,20)+c(32,32,20)-
t(40,48,12)s(8,8,12)+s(24,32,20)+t(40,48,20)-
s(32,16,20)t(24,40,28)-c(40,32,20)t(24,40,28)--
c(40,16,12)t(32,40,28)s(24,40,28)*+t(24,32,28)*
s(24,40,20)t(24,24,12)+s(16,48,20)t(24,16,12)++
s(32,40,20)c(48,48,12)-s(24,8,12)c(24,32,12)+-
s(48,16,20)c(24,24,20)s(40,32,28)-+s(32,32,28)*
s(48,16,20)c(24,32,20)s(40,24,28)*t(32,32,12)--
s(32,40,20)c(40,48,12)-t(40,48,20)t(48,40,12)-+
s(24,40,28)s(24,48,12)-s(40,40,28)t(32,24,12)-*
s(40,32,28)c(40,32,20)s(24,40,28)*-t(16,24,12)+
s(40,40,20)c(32,24,20)s(40,16,20)*t(40,24,20)*-
t(24,40,28)c(24,32,20)*s(40,24,20)s(48,32,20)*+
s(24,32,28)s(40,40,12)-s(32,48,20)s(32,40,20)*+
c(24,16,12)t(48,16,12)+s(16,8,12)-t(24,48,20)+
s(32,48,20)s(40,32,28)t(32,40,28)**s(48,8,12)+
c(24,32,20)s(24,24,20)*t(48,32,12)s(24,48,20)+-
s(24,48,20)t(24,40,20)s(32,40,20)*-s(24,40,28)*
s(48,8,12)s(24,32,28)c(24,40,12)-+s(32,24,20)*
s(40,40,28)s(32,48,20)-s(24,24,28)-s(16,24,12)+
c(48,24,12)c(40,32,20)s(16,32,20)-c(48,16,12)-+
s(16,40,20)t(24,40,28)s(32,32,12)-*c(40,40,20)+
s(40,40,20)t(40,32,20)t(24,48,20)s(48,32,20)+*+
s(40,24,20)t(48,16,12)-s(24,32,20)c(40,24,12)--
s(32,40,28)c(32,32,20)*t(40,32,12)-t(48,24,12)+
s(8,32,12)s(48,32,20)t(24,40,28)c(16,24,12)--+
c(40,32,20)t(40,40,12)-c(48,24,12)-s(32,32,28)*
c(24,24,20)c(32,32,12)-s(16,48,20)+t(48,24,12)+
s(16,32,20)c(16,40,12)c(48,24,12)s(24,48,12)++-
c(32,32,20)c(24,32,12)-c(40,32,20)*s(24,32,28)*
s(40,40,20)c(32,32,20)t(40,48,20)-+s(16,40,12)-
c(24,32,20)t(24,48,28)*s(40,24,28)+c(32,32,20)*
s(48,32,12)t(32,48,20)+s(48,32,12)-s(16,8,12)+
c(16,32,12)s(24,24,20)s(32,32,28)s(48,40,12)-*+
c(40,40,12)t(32,32,20)+t(48,56,12)+s(40,32,20)*
s(48,48,12)s(24,48,20)t(32,32,28)t(24,40,28)*++
s(32,24,28)s(48,32,20)c(32,32,28)*s(48,32,12)-+
t(32,32,20)s(48,48,12)+c(24,40,20)s(24,32,28)*+
s(40,48,20)c(24,32,20)+s(32,16,20)+s(16,16,20)*
s(24,40,20)s(48,24,20)s(32,40,20)+*t(32,24,12)-
c(32,40,20)s(8,40,12)s(48,32,20)+s(48,16,12)+*
s(40,40,28)s(40,24,28)c(40,24,12)s(24,32,12)+*-
t(24,24,20)c(40,24,12)s(16,8,12)+c(24,40,20)--
c(32,40,20)s(40,24,28)*c(32,40,20)t(40,32,20)--
s(40,48,20)s(40,24,28)t(16,40,12)++s(24,16,20)*
s(24,40,28)s(16,24,20)*s(40,32,12)+s(16,16,20)-
t(24,40,28)s(24,32,20)c(40,32,12)++s(32,40,28)+
s(40,16,20)t(24,32,20)c(24,24,20)s(32,16,20)*+*
s(24,40,28)s(24,32,28)c(40,32,20)*c(24,32,20)*-
t(32,48,20)s(8,24,12)+s(48,48,20)-c(32,32,20)+
s(40,40,20)s(40,48,20)*c(32,32,20)s(48,16,20)-*
s(40,16,20)s(40,40,28)s(48,40,20)s(32,32,20)-*+
s(8,32,12)s(40,40,28)t(32,32,20)-c(48,48,12)-+
t(32,40,28)s(16,48,20)s(24,32,12)s(8,16,12)+--
c(32,24,20)s(24,48,20)t(32,56,12)-+s(16,24,20)*
s(40,48,20)c(40,32,20)c(24,24,12)t(32,32,20)+*-
t(40,48,20)t(40,24,20)+s(32,40,28)s(16,40,12)-*
s(32,40,20)s(40,40,28)t(32,40,12)-+s(32,48,20)-
t(32,32,28)s(32,40,28)*c(24,40,20)*s(16,48,20)+
s(24,16,20)c(40,32,20)+t(24,32,28)t(16,40,12)-*
c(32,32,20)c(32,24,12)-s(48,32,20)t(24,40,12)+*
t(16,24,12)c(32,24,20)s(32,40,20)*s(40,32,12)++
s(32,40,28)c(24,40,20)*s(32,32,20)*t(24,32,20)*
s(8,32,12)s(24,32,12)s(32,40,20)c(32,24,20)*++
s(16,32,20)s(24,24,28)s(16,16,12)-*s(40,32,20)+
c(40,40,20)s(24,24,28)-s(48,48,20)s(24,24,28)+*
s(40,40,28)c(24,48,12)-t(48,48,12)t(24,24,20)+*
c(16,48,12)s(24,48,20)t(24,40,28)*+t(24,32,28)*
s(24,24,20)t(32,24,12)-c(40,32,20)s(16,32,20)+*
s(32,32,20)s(48,40,20)+s(16,32,20)s(16,16,20)*-
t(32,32,28)s(40,40,28)c(40,24,20)*s(48,40,20)*-
t(24,48,28)c(32,32,28)s(24,48,20)s(8,24,12)+*-
t(40,32,20)c(32,32,28)s(16,16,20)*s(24,32,28)*+
s(40,16,12)t(48,40,12)+s(48,16,12)+s(32,24,28)*
s(48,40,12)s(32,40,28)t(32,40,20)t(24,48,28)+*+
c(32,32,20)s(24,24,28)*s(48,16,20)-c(32,16,12)-
t(24,32,28)c(24,24,20)+s(32,40,20)-c(24,40,20)-
t(32,48,28)t(24,32,20)-t(24,32,28)c(32,32,20)*+
t(32,40,12)s(16,48,20)c(32,32,28)t(32,32,20)-*+
t(16,40,12)c(32,24,20)+t(24,24,12)-s(8,8,12)+
c(24,32,20)t(32,48,12)s(48,16,20)+c(32,32,28)*-
c(32,32,20)s(40,24,12)s(40,48,20)t(40,32,20)-+*
s(32,24,28)s(48,32,20)-c(32,32,20)*s(32,40,28)*
s(40,40,20)c(24,32,20)+t(32,48,12)-t(24,32,12)-
s(16,16,20)c(24,40,20)c(32,32,12)-s(40,48,12)--
s(40,24,28)s(24,40,28)-c(40,32,20)s(32,48,20)++
c(32,24,20)s(32,24,20)s(24,32,12)t(48,40,12)++*
s(40,32,12)t(24,40,12)s(32,16,20)s(8,40,12)+++
s(24,48,20)c(40,16,12)t(40,48,20)+-s(24,32,12)-
c(32,24,20)t(16,40,12)s(48,32,12)+-c(40,40,12)-
s(40,40,20)s(24,24,28)c(40,40,12)-s(24,16,20)*+
s(48,48,12)t(32,24,20)+c(32,32,20)*s(32,48,20)+
c(32,40,20)s(24,24,12)-s(40,48,20)t(16,24,12)+*
c(24,32,20)s(48,24,20)+c(16,16,12)-t(16,40,12)-
t(24,48,20)c(24,32,12)-t(32,40,20)+t(24,48,12)-
c(48,24,12)t(16,40,12)+s(32,24,20)s(40,32,28)*-
s(16,40,20)t(32,48,12)+t(32,32,28)c(16,32,12)+*
s(24,24,28)t(48,56,12)+s(32,16,12)-s(32,32,20)-
t(32,48,28)s(48,32,20)+s(32,24,28)s(32,48,20)-*
s(32,40,20)s(40,32,28)s(16,40,20)-t(24,32,28)*+
c(24,32,20)t(32,32,28)t(40,40,12)-s(16,40,12)++
s(32,32,20)t(32,40,28)t(16,40,12)s(40,32,28)+**
s(48,16,12)s(32,32,12)t(16,56,12)+t(48,56,12)++
c(32,16,12)s(24,40,20)t(32,40,28)*+t(24,40,28)+
c(40,24,20)s(24,24,28)s(32,48,20)+s(24,40,28)*-
s(24,16,20)t(32,16,12)-t(40,32,20)+s(48,32,20)*
s(32,16,12)c(16,24,12)t(24,32,20)c(24,48,12)-++
c(32,32,20)t(16,16,12)s(16,40,12)+t(40,40,20)+*
t(32,48,28)s(8,40,12)c(24,40,12)++t(32,40,28)*
c(40,24,12)c(24,40,20)s(32,32,28)t(24,40,28)+*+
t(16,16,12)t(32,40,28)+s(32,40,28)*t(24,24,20)-
s(16,24,20)c(40,40,20)-s(32,40,28)+s(40,40,28)*
s(32,32,28)s(40,32,20)-s(48,16,12)+t(32,40,20)-
s(40,40,28)s(40,32,28)s(48,8,12)++s(48,24,12)-
c(32,40,20)t(40,40,12)-s(40,40,28)s(32,32,12)-*
s(32,32,28)t(32,40,28)*s(40,16,12)+s(40,32,12)-
s(24,24,28)c(32,16,12)-c(32,40,20)s(48,40,12)-*
t(32,32,20)s(40,40,20)+s(8,40,12)s(24,40,12)+-
s(24,40,20)c(16,24,12)-t(24,32,28)*t(40,32,20)+
c(48,32,12)t(48,56,12)+c(32,32,12)+c(32,32,20)*
c(40,32,20)s(32,32,28)s(40,24,20)s(48,40,20)--*
s(24,16,12)s(32,40,20)s(24,16,20)-+s(32,48,20)*
c(16,32,12)s(24,24,28)s(16,16,20)t(32,56,12)+*+
t(40,56,12)t(48,48,12)s(48,16,20)++c(40,40,12)+
s(32,8,12)t(32,32,28)c(32,32,20)*+s(24,24,28)+
s(32,32,28)t(24,40,20)s(40,24,12)s(32,8,12)++*
c(48,16,12)t(32,48,28)+t(32,48,28)t(40,40,20)+*
t(48,16,12)c(32,40,12)c(32,24,12)+c(16,40,12)++
s(16,24,20)t(40,24,20)c(24,32,12)-+c(32,40,20)*
t(24,32,28)c(24,40,20)s(48,48,20)-*s(24,48,12)-
s(48,40,20)c(40,32,20)c(32,40,20)--t(40,24,20)-
s(32,40,12)c(24,32,20)c(32,40,20)-t(40,32,20)++
c(40,32,20)t(40,48,20)c(24,24,20)-t(32,32,28)+*
t(24,48,28)c(32,32,20)s(16,24,20)+t(32,16,12)-*
s(32,32,28)c(32,32,28)s(40,48,12)-c(32,24,12)--
c(40,40,20)c(40,24,20)c(32,40,12)-t(24,48,12)+*
s(40,32,28)c(32,32,12)-s(48,32,20)s(32,32,20)*-
t(24,32,28)s(32,40,28)*s(32,24,28)s(32,16,12)-*
s(16,40,20)s(32,32,28)+s(40,48,20)-c(32,32,20)*
c(16,16,12)t(16,56,12)t(32,40,20)+s(40,24,28)++
s(32,32,28)t(24,32,12)-t(32,32,28)t(24,24,12)-*
t(32,48,20)s(32,32,28)+s(24,48,20)*s(24,32,28)*
s(40,48,20)s(32,40,28)s(48,48,12)-s(32,24,28)+*
t(40,32,20)t(16,24,12)+s(16,40,12)+c(32,40,20)*
c(16,32,12)c(40,24,20)+s(48,16,20)+t(24,40,20)+
c(48,24,12)s(48,32,12)c(32,40,20)t(24,48,28)*++
t(24,32,28)s(16,40,20)t(48,40,12)+c(48,40,12)-*
s(16,32,20)s(8,32,12)t(32,48,20)+t(32,40,20)+*
c(32,24,20)t(24,32,28)*s(24,24,20)+t(24,24,20)-
t(24,40,20)s(16,16,12)c(24,32,12)++s(24,40,20)*
c(32,32,28)s(40,40,28)t(32,48,12)-c(32,32,20)*-
t(24,24,20)s(40,40,28)t(32,48,28)-t(40,40,20)--
s(32,24,28)s(32,40,28)*s(32,24,20)c(16,16,12)-*
s(32,16,20)t(32,32,28)*s(48,32,20)+c(40,32,20)*
s(32,40,28)s(32,24,20)-c(40,32,20)s(24,32,28)*-
s(24,24,28)c(24,32,20)c(24,48,12)+*s(16,32,12)-
t(24,48,28)t(24,32,28)t(24,32,12)-s(24,24,20)+*
s(16,24,12)s(48,48,12)+t(40,40,12)+s(24,24,20)+
t(16,56,12)t(16,32,12)s(32,24,20)+t(40,16,12)-+
t(32,48,12)t(32,24,12)s(16,32,20)s(16,40,20)*++
s(40,32,28)t(24,24,20)-s(32,40,28)+s(24,24,20)*
s(32,24,28)c(24,40,12)s(16,16,20)+s(32,32,20)**
t(32,48,28)c(24,32,20)c(24,40,20)*s(8,32,12)-*
s(16,24,20)s(32,32,20)t(40,48,20)c(24,48,12)+--
s(40,48,20)s(32,32,28)s(24,32,12)--t(16,48,12)+
s(32,40,20)s(40,40,28)c(40,32,20)s(40,24,20)**+
s(8,48,12)c(24,24,12)+c(16,48,12)+s(16,16,12)-
c(16,48,12)s(48,16,20)+s(32,8,12)+c(16,40,12)-
s(32,24,28)t(32,32,28)s(40,40,20)t(24,48,12)-**
t(32,40,28)c(32,16,12)s(8,48,12)++t(40,32,20)*
s(40,32,20)s(16,24,20)s(24,8,12)c(24,24,12)+*-
s(16,24,20)s(40,40,28)s(32,24,20)s(24,24,20)*-+
t(32,56,12)t(32,32,28)+c(40,40,12)-s(40,40,20)+
s(24,24,20)c(48,16,12)t(32,40,12)++s(32,40,12)-
s(40,24,28)s(24,16,20)c(48,24,12)+*s(16,16,20)-
c(16,16,12)s(16,32,12)+t(32,48,20)s(24,48,20)*+
c(40,48,12)s(40,32,28)s(48,24,20)*t(16,16,12)++
t(48,56,12)t(32,32,28)t(32,56,12)t(40,24,20)+-+
c(32,32,20)s(16,32,20)t(32,24,20)t(24,24,12)+-+
t(32,40,28)t(16,32,12)t(48,48,12)+-t(32,32,28)*
s(8,16,12)s(40,40,12)+t(24,32,28)+s(24,40,20)*
t(24,32,28)t(24,40,28)*c(40,32,12)+c(40,40,12)-
s(24,40,20)s(48,32,20)s(40,16,12)--c(16,16,12)+
t(24,32,28)s(16,40,12)t(40,24,12)+c(32,32,12)+-
t(32,48,28)t(32,56,12)c(40,16,12)++s(8,32,12)+
c(24,24,12)s(16,16,20)c(24,48,12)++c(32,32,20)*
t(24,40,20)s(40,40,12)-c(24,32,12)t(40,40,12)++
s(32,16,20)s(16,24,20)s(24,40,28)t(32,48,20)-+-
s(24,40,12)c(32,32,20)s(48,40,20)s(24,16,12)+*+
c(24,24,20)s(48,32,20)s(40,40,28)*s(32,32,28)*-
t(24,40,28)s(32,32,28)s(16,48,20)t(32,32,28)+**
c(40,24,12)t(16,40,12)+t(24,40,28)t(32,48,20)*+
c(24,32,20)s(8,32,12)-s(16,24,12)-s(32,32,12)-
s(32,8,12)c(24,24,20)c(40,24,12)t(48,32,12)+-+
c(24,24,20)c(32,24,20)c(24,24,20)s(24,32,20)**-
t(24,48,20)c(32,32,20)c(32,24,20)*+s(16,40,20)*
s(48,24,20)s(24,24,28)s(8,40,12)t(48,24,12)+--
c(32,48,12)s(24,8,12)t(48,56,12)+s(48,40,20)-+
s(32,32,28)c(32,24,20)s(40,40,20)s(8,16,12)+*-
c(40,32,20)t(32,24,20)t(48,16,12)++s(48,24,20)+
s(16,24,20)s(32,32,12)-s(16,16,20)*s(40,24,20)-
s(48,48,20)c(16,48,12)s(32,24,20)+s(32,24,12)-+
s(24,48,20)s(32,48,12)-t(24,48,12)s(8,8,12)+-
s(40,32,20)s(32,32,20)s(24,24,28)+t(40,48,20)+*
s(16,32,20)s(24,32,28)c(40,24,12)-s(16,24,20)*+
t(32,40,28)s(16,48,20)c(40,40,20)--s(16,16,20)+
c(40,24,20)t(48,32,12)-s(48,8,12)-s(40,16,20)*
s(24,40,12)s(24,16,12)+c(32,24,20)s(24,24,20)**
s(24,32,28)t(24,24,20)-s(16,48,20)+s(16,32,12)+
t(24,40,12)c(40,32,20)t(24,32,28)c(40,24,20)*-+
s(24,40,28)c(24,32,20)*t(16,48,12)c(16,24,12)+-
t(16,56,12)c(32,40,12)s(32,16,20)+s(8,16,12)++
s(40,40,28)c(48,16,12)s(24,24,12)+-t(16,32,12)+
s(40,24,20)t(24,24,20)-c(24,40,20)+s(24,24,20)-
s(32,32,20)t(40,48,12)s(24,48,20)+-s(24,24,28)*
t(16,48,12)s(48,48,20)t(24,40,28)-+s(16,24,12)+
s(32,24,20)s(16,24,20)*t(32,48,20)+s(48,32,12)+
s(16,40,20)t(24,24,12)-t(48,48,12)+s(32,48,12)+
s(24,32,12)s(16,48,12)+t(16,24,12)+s(32,40,28)*
s(32,32,28)c(16,24,12)-t(40,48,12)-c(32,24,20)+
t(32,48,28)s(40,40,28)s(24,32,20)+s(32,48,12)-*
s(24,40,28)c(24,24,20)*s(32,40,20)s(40,32,28)*-
c(40,32,20)c(24,40,20)+s(48,16,20)+c(32,32,12)-
s(24,40,28)s(40,24,28)c(24,40,12)+*s(40,32,20)+
s(32,16,20)s(24,24,28)s(40,40,20)-*t(40,16,12)-
s(16,32,20)t(32,48,28)+s(24,32,28)*s(32,24,20)*
t(24,48,28)s(48,16,12)c(32,40,20)s(16,24,20)-+*
s(40,16,20)c(24,32,12)+s(32,16,12)-c(24,32,20)-
s(24,24,20)s(32,32,20)s(40,40,28)s(40,16,20)-++
s(32,48,20)c(24,40,20)c(32,32,20)**t(24,24,20)-
s(24,8,12)s(24,40,28)c(32,24,20)t(24,56,12)+-+
s(32,16,20)t(40,32,20)c(32,16,12)+c(32,32,12)--
s(40,40,20)s(32,32,20)-s(48,48,20)s(48,48,12)-+
s(40,40,20)s(24,40,12)s(24,16,12)c(48,48,12)++*
s(16,24,20)s(48,48,20)s(24,24,12)++s(40,24,12)+
s(24,32,28)s(16,48,12)s(8,16,12)+s(40,32,12)++
s(16,32,20)t(24,40,28)s(32,48,20)s(24,48,20)**+
s(16,16,20)c(24,16,12)t(40,24,20)++c(40,16,12)-
s(48,48,20)s(16,24,20)t(24,40,28)-+s(24,40,20)-
s(24,24,28)s(16,48,20)+c(40,32,12)-t(24,32,28)*
s(48,40,20)t(40,24,20)c(32,32,20)c(32,40,20)*+*
s(32,48,20)s(48,40,12)c(32,48,12)++s(32,32,28)*
c(24,24,20)s(24,40,28)t(24,24,20)*-s(32,24,12)-
s(40,48,20)t(16,56,12)c(32,40,20)+s(24,48,20)*+
c(40,32,20)s(16,32,20)s(32,48,12)c(32,24,12)++*
c(48,32,12)c(24,24,20)s(16,24,20)c(40,40,20)-++
t(32,32,28)s(16,32,12)s(40,32,20)+s(24,24,20)--
s(32,16,20)s(48,32,20)s(48,24,20)t(48,32,12)-*-
c(32,40,20)t(24,32,12)-t(40,56,12)-c(32,24,20)*
s(24,48,12)s(48,24,20)s(16,16,20)++s(24,16,20)*
s(24,32,28)c(16,32,12)s(48,16,20)+*s(8,40,12)-
t(32,48,28)t(24,40,28)t(24,32,28)*s(16,16,20)++
c(32,32,20)c(40,40,20)c(40,24,12)-+s(40,32,20)-
s(48,16,20)s(40,48,20)s(24,48,20)t(32,32,28)-++
s(32,16,20)c(40,32,12)+t(32,24,20)s(24,24,20)+*
s(40,24,28)s(32,24,20)s(24,16,20)*t(24,32,12)+*
t(24,24,12)s(48,16,12)+s(48,48,20)s(40,32,28)*+
t(32,32,28)s(24,40,28)*c(24,24,20)s(48,24,12)+*
s(40,24,20)s(48,24,20)t(24,32,12)+s(48,24,12)-*
s(40,40,20)s(16,32,20)s(40,24,28)+s(16,32,20)-*
s(24,40,28)t(24,40,28)s(32,24,28)s(24,40,28)*--
t(32,24,20)s(48,24,12)t(40,48,20)++t(24,32,12)-
s(40,16,20)t(24,56,12)c(32,24,20)c(48,48,12)++*
t(32,32,28)s(48,40,12)s(24,48,12)t(24,16,12)++-
s(24,40,28)t(40,40,12)s(24,16,20)+c(32,40,20)*-
s(24,48,12)s(48,16,20)+c(24,48,12)-c(32,32,20)-
s(32,32,12)s(32,48,20)+s(40,32,28)+t(48,40,12)-
c(24,32,20)s(40,24,20)s(40,40,20)--t(32,16,12)+
c(32,24,20)s(40,40,28)t(24,40,20)t(16,56,12)+--
t(24,32,20)s(8,24,12)c(32,24,20)+c(40,24,12)-*
c(32,24,20)c(24,40,20)s(40,32,12)-s(32,40,12)--
t(40,32,12)t(24,40,28)s(48,48,20)-t(24,40,12)-+
s(24,24,28)c(48,16,12)+s(24,40,28)+c(40,32,20)-
s(48,8,12)t(40,32,12)t(32,40,20)+t(16,24,12)++
c(32,32,20)t(24,40,28)*s(40,24,28)+s(24,32,28)*
t(40,32,20)s(32,16,12)-t(24,56,12)c(32,40,12)++
s(40,32,28)t(24,40,28)s(40,40,28)c(48,16,12)+*-
s(40,40,20)t(48,56,12)+t(24,24,20)+s(32,16,12)-
t(32,40,28)s(16,32,20)c(40,48,12)+t(16,32,12)-*
s(48,40,20)c(24,24,12)c(24,40,20)s(32,40,20)++*
s(48,48,12)c(40,24,12)+c(24,24,12)s(24,32,12)++
s(32,8,12)s(16,48,20)c(24,40,20)s(32,24,20)-*+
c(32,40,20)s(24,32,20)c(32,32,20)*+s(24,40,12)-
c(24,16,12)s(24,32,28)t(16,32,12)-t(32,48,28)-+
s(40,32,12)c(16,48,12)+s(48,32,20)+c(40,24,20)+
c(40,40,20)c(32,40,20)c(32,24,20)*+c(32,40,12)-
c(24,24,20)c(16,40,12)-s(40,32,12)-s(32,16,20)*
s(24,48,20)t(48,56,12)+s(24,32,28)*s(16,40,20)*
s(32,40,20)c(40,24,20)-c(32,40,20)t(24,32,28)-+
t(24,40,28)s(32,32,28)s(32,24,28)s(24,16,20)**+
t(40,16,12)c(40,24,20)t(24,40,20)-c(40,24,12)-+
t(32,32,20)s(40,48,20)+s(16,24,20)c(32,32,20)+*
s(32,32,20)t(24,48,28)t(40,48,20)+c(24,40,20)**
c(32,40,20)c(16,32,12)c(40,24,12)+-c(24,24,20)-
s(32,32,20)s(16,40,12)-s(8,48,12)+s(16,48,12)-
s(24,24,20)c(24,24,12)t(24,48,12)++s(32,32,28)*
t(48,40,12)c(24,24,20)c(24,32,20)*+t(24,40,28)*
s(32,40,28)s(24,32,28)*t(32,32,20)*s(16,16,20)-
c(40,40,20)s(48,24,20)s(16,24,12)+c(16,24,12)-*
c(32,24,20)s(40,40,28)s(24,32,28)-c(40,32,20)*+
c(24,24,12)c(40,40,20)s(32,48,20)-+c(24,32,20)*
s(24,16,20)s(32,48,12)s(16,16,20)+*t(32,40,28)-
s(48,40,20)c(40,32,20)*s(40,24,28)s(40,40,28)**
c(40,24,20)t(24,32,28)+t(24,32,28)-t(40,32,20)-
t(32,48,28)t(40,56,12)-t(24,32,28)c(40,40,20)-+
s(32,24,20)s(32,24,28)t(48,56,12)t(32,32,20)+**
t(32,40,20)s(32,48,20)s(40,48,20)*s(32,32,12)-+
s(24,48,20)c(32,40,20)s(48,48,12)+t(40,40,12)-+
t(24,32,28)s(24,48,20)*s(32,40,28)t(40,32,20)*+
s(24,40,20)s(32,32,28)c(16,32,12)-c(24,32,20)**
t(24,32,28)t(24,16,12)t(24,48,28)+s(24,40,28)**
s(32,32,28)t(24,40,20)-s(40,32,12)-s(16,16,12)-
s(24,40,28)t(16,40,12)-s(48,16,12)s(24,24,20)+*
s(32,32,28)s(40,32,28)*s(16,48,20)-c(40,32,20)*
s(24,40,28)c(40,24,20)s(32,16,20)s(40,40,28)+**
s(40,8,12)s(32,32,28)+s(16,40,12)c(32,16,12)+*
s(16,16,20)c(32,40,12)s(8,16,12)s(16,16,12)++*
c(24,24,20)s(40,32,28)t(40,56,12)+*c(40,32,12)-
s(48,24,20)c(16,32,12)+s(16,24,20)s(32,40,20)+*
c(32,32,20)t(40,24,12)s(24,32,20)++s(40,48,20)*
s(24,32,28)c(32,16,12)-s(32,40,20)c(32,32,20)*-
s(48,48,20)s(40,40,12)s(16,40,12)+t(24,40,28)*-
s(8,48,12)s(16,40,20)c(32,32,28)*+s(24,32,12)-
c(16,40,12)s(24,48,12)+s(32,32,28)s(40,24,12)-*
s(24,24,20)c(40,24,12)+s(32,32,12)-c(16,48,12)+
t(32,40,28)s(48,32,20)-s(32,24,28)-t(32,48,12)+
c(32,32,28)t(24,40,28)t(32,32,28)c(32,24,20)**-
c(24,16,12)s(32,40,28)s(40,40,12)-s(32,24,12)-+
s(8,48,12)t(32,24,12)+s(24,32,28)s(24,40,28)+*
s(16,24,12)s(16,8,12)s(24,40,20)++s(32,32,28)+
s(32,32,28)s(40,48,12)-s(40,16,12)s(16,24,20)+*
t(24,32,28)s(40,32,28)s(24,24,20)+*c(40,24,20)*
s(40,24,28)t(24,32,20)c(32,16,12)-+t(32,32,28)*
s(40,48,12)t(32,32,20)+s(48,32,20)s(24,32,28)-+
s(32,32,20)s(16,32,12)-s(48,8,12)+t(32,32,12)-
s(40,32,28)s(16,32,12)s(32,24,20)+*t(32,40,20)+
s(32,32,28)s(24,24,20)c(32,24,20)*-t(32,40,28)*
s(32,24,20)c(48,24,12)+t(48,24,12)-s(16,32,12)-
s(24,24,20)t(40,24,12)+s(24,16,20)+s(32,48,20)-
s(32,24,12)c(24,40,20)+t(40,24,20)-s(32,16,20)-
c(32,40,12)s(32,24,20)+c(32,40,20)c(48,24,12)-*
c(24,32,20)s(40,24,28)*c(24,24,20)c(32,24,20)**
t(40,32,20)t(32,16,12)t(32,48,20)+t(24,56,12)-+
s(24,32,20)c(16,48,12)+t(32,56,12)t(32,48,20)+-
c(32,32,28)s(48,40,20)c(48,24,12)s(24,24,28)+--
s(48,40,20)c(32,40,20)*t(32,40,28)t(32,32,20)-+
c(24,24,20)s(24,32,28)c(48,40,12)+*s(48,24,20)-
t(24,48,20)c(48,16,12)t(24,32,20)+s(48,16,12)--
c(24,32,20)s(40,24,20)-s(24,40,20)*t(24,48,28)*
t(32,32,28)t(24,32,12)c(16,48,12)+-c(40,32,20)*
t(24,48,20)s(16,40,20)s(16,24,20)*-s(40,40,20)+
t(32,32,28)c(24,24,20)*s(24,24,20)+s(40,32,28)*
s(24,24,20)s(24,40,20)+s(32,24,12)-s(32,32,28)*
s(32,40,20)s(24,32,20)s(16,40,20)-t(16,32,12)+-
t(32,48,28)s(40,40,28)t(40,40,20)-s(32,16,20)--
s(24,48,20)s(40,48,12)-s(24,24,20)c(16,16,12)-+
t(24,32,28)s(24,24,12)-c(40,32,20)+s(32,48,20)*
t(48,24,12)s(40,40,20)s(40,32,12)-t(40,48,12)-+
s(16,40,20)t(40,40,20)t(40,16,12)+c(40,24,20)*+
s(40,40,20)s(48,32,12)t(48,24,12)+-s(40,32,28)*
c(40,24,20)s(40,32,28)s(40,40,28)*t(32,40,28)**
s(32,40,20)c(24,32,12)-s(40,8,12)s(48,48,12)+-
s(48,24,20)c(40,24,20)*c(40,32,20)t(16,40,12)+*
t(32,32,28)c(40,48,12)c(32,32,12)+s(48,16,20)-*
s(16,48,20)c(24,40,20)c(32,32,28)s(32,48,12)-**
s(32,40,28)s(48,40,20)-s(40,40,28)c(32,40,20)**
s(32,32,20)c(24,24,12)+s(24,32,12)-t(24,56,12)+
s(32,24,28)s(24,40,28)c(24,32,20)**t(16,24,12)+
s(24,48,20)t(32,48,28)s(40,40,28)*s(32,32,12)+*
s(40,24,28)s(32,40,28)*c(24,32,12)-c(24,16,12)+
s(32,32,28)s(24,16,12)-s(16,48,20)t(32,40,12)+-
s(40,32,28)s(24,40,12)-t(40,48,20)c(32,32,12)+*
t(40,40,20)c(24,48,12)-s(48,16,20)+c(32,32,20)-
s(48,8,12)s(24,32,20)c(32,24,20)t(24,40,28)*-+
c(32,32,28)c(40,32,20)-t(24,40,20)c(40,40,12)+-
c(40,24,20)c(40,32,20)s(32,24,28)t(40,48,12)+**
s(40,32,28)t(48,16,12)-s(40,24,20)*s(8,24,12)+
s(48,40,20)c(32,40,20)c(32,24,12)-t(24,48,12)-*
t(32,32,28)s(40,48,20)-c(40,24,12)+s(16,40,20)-
c(40,32,20)s(40,48,12)-s(48,16,20)s(32,16,20)--
t(24,32,20)s(40,48,12)+t(48,56,12)+s(48,40,20)-
c(32,40,20)s(40,32,12)s(16,40,20)s(16,48,20)*+-
s(48,24,20)s(40,16,20)-s(40,32,28)s(24,40,28)*+
c(24,32,20)s(16,32,12)t(32,40,12)+s(8,16,12)+*
s(16,48,20)s(16,32,12)t(32,32,28)+s(24,24,12)-+
s(32,32,28)s(8,32,12)+s(40,16,20)-c(32,40,20)*
s(16,40,20)c(40,40,20)+t(40,40,20)-s(32,32,28)*
s(32,24,12)t(32,48,28)+s(32,32,20)*t(32,40,20)*
c(24,16,12)c(40,48,12)+s(48,16,20)+s(40,40,20)*
s(32,40,20)s(48,16,12)c(48,40,12)+s(32,40,20)-+
t(32,40,20)s(48,24,12)+s(24,40,28)s(40,32,28)**
s(32,16,20)s(24,24,28)*t(32,48,12)c(24,24,12)+-
c(40,24,20)s(48,32,20)s(48,24,20)*s(32,40,20)--
c(40,24,12)t(40,40,20)c(16,24,12)++c(40,16,12)-
s(32,8,12)s(40,32,28)t(24,32,28)c(32,40,20)**+
t(32,56,12)s(32,40,20)+s(24,24,20)s(24,40,12)-+
s(40,24,20)c(48,40,12)-s(24,16,12)-s(16,40,20)-
s(32,24,28)t(32,24,20)t(40,16,12)--t(40,24,12)+
t(40,48,20)s(32,16,12)+s(32,32,20)-c(40,48,12)+
c(40,24,20)t(40,40,12)-c(24,32,12)+t(24,32,12)-
s(32,40,28)t(48,32,12)-c(16,32,12)-c(32,48,12)-
c(16,32,12)s(48,16,12)+t(40,24,20)s(16,40,20)+*
s(32,32,28)t(16,16,12)t(32,48,28)+s(24,40,28)+*
s(40,24,28)c(32,24,20)t(48,56,12)+s(40,48,12)+*
c(24,24,20)t(48,16,12)+t(48,56,12)t(32,32,20)+-
s(40,32,20)c(32,32,28)s(32,32,20)t(24,40,20)---
s(32,40,28)s(32,24,28)*s(16,40,20)c(32,32,12)--
t(48,48,12)s(24,24,28)+t(32,32,12)-t(32,32,28)*
t(48,56,12)c(32,32,20)t(24,40,12)-s(40,32,28)*+
s(40,40,20)s(24,32,28)*s(40,40,12)+c(24,40,20)*
s(48,16,20)s(40,48,20)c(24,48,12)-c(40,24,12)++
t(24,48,20)t(24,32,28)c(40,40,20)t(48,16,12)+*-
s(40,40,20)s(40,40,28)s(16,40,12)s(48,40,12)+-*
t(32,32,28)t(40,48,12)c(32,32,12)s(48,32,12)++*
s(32,8,12)t(48,40,12)+c(16,16,12)+s(48,16,12)+
t(24,48,20)t(32,32,20)s(32,32,20)s(32,24,20)**+
s(24,16,20)s(32,32,28)s(40,24,12)-+c(16,40,12)-
c(48,48,12)s(40,40,28)c(48,40,12)-+s(32,32,28)*
t(24,40,28)s(32,32,20)c(32,24,20)*s(40,24,12)--
c(40,32,20)c(40,40,12)-t(48,32,12)-s(24,32,28)+
s(40,48,20)c(24,24,12)+t(24,32,28)t(24,48,20)-*
c(40,16,12)s(32,40,28)c(24,40,20)*+c(40,24,20)*
c(24,40,20)c(24,32,20)*t(24,32,28)t(24,48,20)-*
s(32,16,20)s(40,24,28)*c(40,24,20)*t(40,24,20)+
s(48,48,20)c(40,40,20)s(32,40,12)-*s(16,16,20)+
s(40,40,20)s(48,40,20)*s(24,48,20)t(24,40,28)*-
t(40,48,20)t(48,40,12)s(8,16,12)+-t(24,56,12)+
s(40,40,28)c(24,40,20)-c(48,24,12)s(32,48,20)+*
s(24,40,28)s(32,40,28)s(48,24,12)s(40,48,20)+*-
c(24,48,12)t(32,32,28)+t(32,32,20)-c(40,24,20)-
t(40,48,12)t(24,32,28)c(40,16,12)c(40,48,12)+-+
s(24,48,12)t(16,24,12)+c(32,24,20)s(40,40,28)*-
c(32,24,20)c(40,40,20)+s(48,32,20)-s(32,48,20)*
s(24,32,28)c(24,24,20)s(40,40,28)s(32,32,20)*-*
c(32,32,20)s(24,48,12)-c(40,32,20)t(32,32,12)-*
s(48,40,12)s(8,8,12)s(16,32,20)c(24,32,20)*++
c(40,24,20)t(16,32,12)+t(32,48,28)-c(32,24,12)-
s(24,32,28)s(32,48,20)s(48,48,20)*+s(24,48,20)*
c(32,32,12)c(32,24,20)s(32,16,20)-+t(48,48,12)+
s(16,48,12)t(24,40,20)+t(32,24,12)t(48,32,12)++
c(40,32,20)t(48,40,12)s(16,8,12)+-s(48,24,12)-
t(24,40,28)s(32,24,28)+c(24,24,20)*s(40,40,28)*
t(32,48,28)s(16,48,20)*s(24,24,20)+s(24,8,12)+
c(24,40,20)s(32,48,12)-s(32,24,28)*s(48,48,20)-
c(32,32,20)s(24,48,20)s(40,40,28)*t(16,24,12)++
s(40,24,12)t(24,32,28)+s(32,40,20)*c(48,32,12)-
s(32,40,20)s(40,48,20)s(40,32,28)s(8,24,12)++*
s(16,24,20)t(48,56,12)c(48,48,12)++t(24,24,12)-
s(24,24,28)s(16,48,20)-s(8,48,12)+s(40,40,28)*
s(40,32,12)t(32,48,28)s(24,48,20)*+c(40,40,20)*
t(40,40,20)s(16,40,20)-t(32,40,12)+s(24,24,12)+
c(32,40,12)s(24,24,12)+s(24,16,12)+s(32,32,28)*
s(48,16,20)t(24,48,12)+s(16,40,20)-s(48,32,20)-
s(32,32,28)s(40,40,28)*t(24,48,12)-s(32,32,20)*
s(16,32,20)s(16,40,20)c(32,40,12)s(24,8,12)++*
s(16,40,20)t(24,48,20)s(32,48,20)s(48,48,12)-*-
s(16,24,20)s(8,8,12)-s(48,8,12)+s(24,24,12)-
c(40,32,20)s(16,24,20)-t(24,40,20)-t(24,24,20)+
s(40,32,28)s(24,32,12)-c(40,32,12)-s(32,24,28)-
s(32,32,20)c(32,16,12)c(40,16,12)+-s(48,16,12)+
t(32,32,28)t(32,24,12)s(16,40,20)+-t(24,40,12)+
c(32,24,20)s(24,16,12)-s(40,32,20)s(40,48,12)-*
s(24,48,20)s(48,40,20)-s(24,24,20)+t(24,48,20)*
c(32,40,20)c(32,24,20)-s(24,40,28)*s(32,48,20)*
s(48,32,12)c(32,24,20)+s(32,24,20)-s(40,48,12)-
t(24,24,20)t(32,32,28)s(32,16,12)-s(48,40,12)-+
c(32,24,12)t(24,48,20)+t(24,24,20)+s(16,48,12)-
c(40,24,20)t(32,56,12)+t(24,48,20)s(40,40,20)+*
c(24,24,20)s(16,40,20)s(32,24,20)+s(24,40,20)-+
s(32,40,20)s(24,32,28)*t(32,40,20)c(40,24,12)+*
s(32,32,28)t(32,48,28)-t(32,40,20)+t(24,32,28)*
s(48,16,20)s(16,48,20)+t(24,40,20)-s(40,24,28)-
s(32,48,20)t(24,48,28)t(16,56,12)-*s(40,40,12)-
c(24,40,20)c(16,40,12)-s(24,32,28)*s(40,32,28)*
c(32,32,20)t(24,40,28)t(32,48,20)c(40,32,12)++*
c(40,24,20)c(40,32,20)t(24,24,20)+c(40,40,12)-*
s(40,32,28)c(24,32,12)-s(32,32,20)-t(32,40,28)-
s(40,48,12)c(24,24,20)s(48,32,20)-c(40,16,12)-+
c(32,32,20)s(48,16,20)-s(40,40,20)*s(16,16,12)+
s(40,16,20)c(32,40,20)+s(40,8,12)-c(40,40,12)-
t(32,40,20)c(24,40,20)c(32,32,20)-+s(32,32,20)*
s(24,48,20)s(24,40,20)+c(24,24,20)t(48,16,12)+*
s(16,24,20)t(24,48,20)t(16,48,12)-t(24,32,12)+-
s(24,16,20)c(32,40,20)t(40,56,12)s(16,32,20)+*-
s(48,40,12)c(40,48,12)+s(40,24,20)t(32,48,20)+*
t(32,16,12)s(40,48,20)+c(40,32,20)s(24,32,12)-*
t(24,48,28)s(24,32,28)s(32,40,20)c(48,48,12)+**
s(24,40,20)c(40,32,20)s(40,48,20)--s(40,32,20)-
s(48,48,20)s(48,24,20)s(24,32,28)s(40,24,12)---
s(40,24,28)c(32,32,28)*s(48,16,20)*c(32,24,20)*
t(24,40,20)t(16,32,12)-t(32,48,12)+s(48,32,20)+
s(48,16,20)s(32,32,28)t(16,32,12)-s(48,8,12)+*
s(24,24,20)c(40,40,12)t(24,16,12)+s(24,48,20)--
s(48,32,20)c(32,32,28)s(48,16,12)-c(16,32,12)-*
t(32,40,28)s(48,48,12)-c(40,24,12)+s(16,48,20)-
s(40,40,28)s(32,24,20)s(24,48,12)+-c(48,24,12)+
c(40,40,20)t(40,24,20)-s(32,24,28)c(32,40,20)*+
s(40,32,28)t(24,40,20)t(24,16,12)+s(16,40,12)-*
s(24,48,20)t(24,40,28)*c(32,24,20)s(16,24,12)--
s(24,32,12)t(24,24,20)+c(32,24,12)+s(48,40,12)+
s(32,24,20)s(40,8,12)-c(24,48,12)+t(24,48,28)*
c(32,32,20)s(24,32,28)*s(24,32,28)t(32,48,28)-*
c(24,40,20)t(40,32,20)s(48,24,12)-s(16,48,20)+*
s(32,32,20)c(16,40,12)-c(24,32,20)*c(40,48,12)-
s(32,32,28)t(40,48,20)s(32,48,20)*-s(24,40,28)-
t(40,40,20)s(48,48,20)s(48,40,20)s(16,40,12)++*
s(48,32,20)c(40,32,20)*c(24,24,20)+s(40,40,28)*
c(16,48,12)c(48,48,12)+t(24,48,28)c(32,40,20)*-
c(40,24,20)s(40,40,20)*t(24,32,28)c(32,40,12)--
c(32,32,20)c(16,48,12)-s(32,8,12)s(40,40,20)+*
s(32,40,20)s(48,24,12)s(32,16,20)+c(24,32,12)+*
t(32,24,20)c(32,32,28)c(48,16,12)-s(40,48,20)*+
s(16,24,20)t(16,32,12)s(40,40,20)++s(32,40,28)*
s(16,48,20)t(32,48,28)*c(48,24,12)+s(32,40,28)*
s(40,32,20)t(40,48,20)t(24,32,20)+s(40,40,20)-+
s(24,48,20)t(24,16,12)+s(24,32,28)s(32,16,20)-*
c(48,16,12)s(40,40,28)s(16,40,12)++c(40,24,20)*
t(16,40,12)s(24,8,12)c(48,40,12)++s(32,32,28)*
s(16,16,20)s(32,40,28)c(16,32,12)t(32,48,20)+*-
c(40,40,20)t(32,40,28)-c(24,40,12)+s(32,32,28)*
c(24,24,20)t(48,24,12)t(32,32,28)+c(24,40,20)*-
s(32,16,20)t(24,40,28)c(24,24,20)*s(24,48,12)--
t(48,24,12)s(40,40,20)+t(16,16,12)t(32,48,28)++
t(24,40,28)s(32,32,28)s(16,16,20)t(32,48,28)+**
s(24,40,28)c(40,32,20)c(32,40,20)s(16,48,20)-**
s(24,24,28)s(8,8,12)s(32,24,20)+*c(40,40,12)-
c(40,40,20)s(16,16,12)+c(24,32,20)*s(32,24,12)-
s(32,32,12)c(24,48,12)+t(24,40,20)+s(24,16,20)-
s(48,8,12)t(16,48,12)s(8,48,12)s(48,24,12)+++
c(40,40,20)s(24,24,28)*t(32,24,20)+s(48,48,20)-
t(40,32,20)c(40,40,12)+s(32,40,28)s(40,48,20)**
c(48,16,12)s(32,16,20)+t(24,32,28)-s(16,16,12)+
s(32,32,12)t(24,40,20)c(16,48,12)++s(16,24,20)+
t(32,32,20)s(8,48,12)+s(16,24,20)+c(24,40,20)*
s(32,40,28)t(24,16,12)s(40,16,12)c(32,48,12)++*
s(32,32,28)s(40,24,20)c(24,32,20)t(24,48,28)*+*
c(40,24,20)s(32,24,20)t(32,32,28)*t(24,40,20)--
t(40,24,12)t(32,40,28)+c(48,16,12)+t(48,48,12)-
s(16,32,20)t(24,40,20)t(40,48,12)+c(40,24,20)-+
s(48,48,20)c(24,40,12)+s(8,40,12)+s(32,24,12)+
c(32,24,20)s(40,24,20)c(16,32,12)s(48,16,20)+*-
c(40,24,20)s(16,24,20)+c(24,32,20)*s(24,24,20)*
s(8,32,12)c(24,16,12)+c(24,32,20)s(16,24,20)**
s(16,32,20)c(16,48,12)-s(40,24,12)t(24,48,20)+-
c(24,24,20)c(16,16,12)t(24,40,20)+*c(32,16,12)-
t(24,32,28)s(32,32,28)s(24,16,20)-t(40,32,20)+-
t(48,24,12)c(32,24,12)+s(24,40,20)-c(32,40,12)+
s(32,16,20)s(40,16,20)t(24,40,28)t(24,40,12)-+*
t(24,48,12)s(16,16,20)+s(32,32,28)+c(24,40,20)*
s(16,40,20)s(24,16,20)-s(24,24,20)t(24,32,28)*-
c(16,32,12)s(40,48,12)t(24,40,12)+t(32,56,12)-+
s(24,16,12)t(24,48,20)+s(8,16,12)t(40,32,20)+-
s(40,24,12)s(8,32,12)t(32,40,20)++c(32,16,12)+
c(24,32,20)t(40,24,20)t(32,32,28)+t(24,48,28)*-
s(24,32,28)s(32,40,20)s(48,24,12)+*t(24,32,28)*
s(48,32,20)c(40,40,20)s(40,48,12)-t(24,40,12)-+
s(24,24,28)s(40,48,20)+c(32,32,28)*s(32,40,28)-
t(24,32,28)c(24,24,20)t(32,40,28)-t(24,24,12)--
s(40,40,20)t(32,32,28)*t(32,48,28)t(32,32,20)+*
t(24,48,28)t(16,40,12)-c(24,40,20)s(24,24,28)*-
s(40,40,28)s(40,24,28)t(32,32,28)**c(24,48,12)-
s(40,40,20)s(40,24,12)-c(48,24,12)+s(32,24,28)-
c(32,40,20)s(24,32,28)t(48,56,12)+*c(16,32,12)-
s(40,32,28)t(24,32,28)-s(40,16,20)s(24,40,20)+*
s(40,32,20)t(48,40,12)-c(40,32,20)s(32,40,28)**
s(40,24,28)s(48,24,20)-c(24,40,20)+t(32,32,28)*
c(32,32,28)s(24,48,12)-s(40,48,20)t(48,40,12)-*
t(32,40,28)s(32,40,28)c(40,40,12)t(24,32,28)+**
s(40,24,12)t(24,32,28)+s(40,8,12)+c(16,32,12)-
c(24,32,20)t(32,32,28)s(48,32,12)+s(40,16,12)+*
c(32,16,12)c(32,40,20)s(24,48,20)*t(32,40,28)*+
s(16,32,20)s(32,16,12)+s(24,24,20)s(40,24,28)*-
s(32,32,20)s(40,48,20)c(40,48,12)s(32,8,12)+*-
s(32,48,20)s(24,24,28)t(40,24,20)c(48,32,12)+--
c(32,40,20)s(32,40,20)s(48,8,12)++s(40,40,12)-
c(40,48,12)s(32,40,12)+c(32,32,20)t(16,16,12)++
t(32,40,28)s(16,24,20)-s(40,24,28)+s(24,32,20)-
c(48,48,12)t(24,48,20)c(32,40,20)s(40,24,20)-*+
s(32,40,20)t(32,48,20)c(48,32,12)+*t(16,40,12)+
c(40,32,12)t(40,48,20)+c(16,16,12)+c(40,24,12)-
c(32,40,20)t(24,48,20)*c(40,32,20)c(24,24,20)--
t(32,40,28)c(40,24,20)c(32,24,20)**t(24,24,20)+
s(32,24,20)c(40,40,20)c(40,32,20)*t(24,48,20)+-
c(16,32,12)s(8,24,12)s(40,32,28)s(24,32,28)*++
s(16,40,20)t(32,40,28)-s(48,48,20)+s(24,24,20)-
s(16,40,12)c(40,40,20)+s(48,40,12)-s(40,40,12)-
c(32,32,20)t(24,48,28)s(40,40,28)s(32,24,28)+*-
s(24,32,28)t(32,40,28)+s(24,40,12)-s(32,32,28)*
s(40,24,12)t(32,16,12)s(48,24,20)t(32,40,28)-++
s(32,16,20)c(32,24,20)*s(48,24,20)c(40,24,20)*-
s(40,24,28)c(32,32,28)c(24,40,12)-*c(40,40,12)+
t(32,16,12)s(32,24,28)t(40,32,20)-s(16,16,20)*+
c(40,32,20)c(24,48,12)c(40,40,12)+s(16,40,12)-*
s(24,48,20)c(32,32,28)s(16,24,20)c(32,32,12)+-*
s(24,40,28)t(40,24,20)s(32,40,20)t(32,48,20)*+-
t(24,48,12)s(40,24,28)+c(32,24,20)*t(48,24,12)-
c(40,24,20)t(40,32,20)s(8,40,12)s(40,32,12)++-
s(24,24,20)s(8,32,12)+s(8,24,12)s(16,40,20)+-
t(48,16,12)t(24,40,28)c(24,40,20)*+t(32,32,28)*
s(8,48,12)s(32,16,20)+t(40,24,12)-c(32,40,20)-
c(32,24,20)s(24,24,20)*s(16,48,20)-t(16,24,12)-
t(32,40,20)c(40,40,20)s(24,40,28)**s(40,40,20)*
c(24,32,20)t(32,40,28)c(24,32,12)-t(24,24,20)+*
s(8,40,12)t(24,32,20)+t(32,48,20)+s(24,40,20)*
c(48,48,12)s(24,24,28)c(40,24,20)-+c(32,24,12)+
c(24,40,20)s(8,40,12)t(40,40,12)++c(32,40,12)-
s(24,24,28)c(40,16,12)t(24,56,12)+-s(24,16,20)-
c(32,32,28)c(32,32,20)s(48,32,20)+t(40,24,12)--
s(16,40,20)s(32,40,20)*t(24,32,28)s(16,40,20)*+
s(48,40,20)s(16,24,20)s(48,16,20)+t(40,24,20)*-
s(32,40,28)s(32,24,12)-s(32,24,20)c(24,40,20)++
s(8,8,12)t(32,40,20)+c(40,48,12)-c(32,32,12)-
t(32,56,12)t(32,24,20)+s(40,24,12)-c(40,48,12)-
c(16,40,12)s(32,40,20)s(16,32,20)c(24,40,20)*-+
s(24,40,28)c(48,32,12)s(32,48,20)+s(40,40,28)**
s(24,40,28)s(40,48,20)c(32,40,20)*-s(40,24,12)-
s(40,24,28)s(32,40,28)s(32,32,28)*s(32,40,12)-*
s(16,48,20)s(16,16,12)+t(24,40,28)t(32,32,12)-*
t(32,48,28)s(32,40,20)*t(32,40,28)t(24,40,28)**
s(32,48,12)t(40,40,20)s(24,24,20)c(40,24,20)*++
s(32,16,20)c(48,24,12)c(32,24,20)s(24,24,20)-++
s(24,32,20)c(32,32,20)s(40,16,20)*-t(32,24,20)-
s(32,32,28)s(32,8,12)s(40,48,20)+t(16,40,12)+*
s(24,24,28)s(16,32,20)c(24,48,12)+t(24,48,20)--
t(40,32,20)s(32,40,28)*t(24,32,12)-t(32,40,28)+
s(16,40,20)c(24,32,20)t(24,16,12)-s(16,24,12)-*
c(40,32,12)s(24,16,12)+t(16,48,12)c(24,40,12)++
c(24,24,20)t(40,48,12)+s(40,32,12)-s(24,32,20)-
s(24,48,12)c(24,32,12)s(16,40,20)+s(32,32,12)-+
s(48,24,20)c(32,32,28)t(40,48,20)-+c(40,40,20)*
s(32,40,20)c(40,32,20)+s(32,16,12)+s(40,40,12)-
s(32,48,20)t(32,48,28)s(40,48,20)s(32,32,20)+*+
c(32,24,20)s(24,16,20)*s(32,40,12)+s(40,40,28)*
c(24,24,12)t(40,32,20)+c(32,40,20)*t(16,24,12)+
s(40,24,28)s(32,24,20)t(32,48,28)s(32,32,28)*--
s(40,32,20)s(24,48,20)t(32,32,28)+*c(24,40,20)*
s(24,32,28)c(40,40,12)-c(16,48,12)s(32,24,12)+*
c(24,40,20)t(24,40,28)*t(24,56,12)c(24,24,20)+*
t(40,32,20)c(16,32,12)+s(48,16,20)s(48,24,20)*-
s(32,16,20)s(40,32,20)c(32,24,20)c(24,32,12)-*+
s(24,32,28)s(24,40,28)c(40,48,12)t(24,48,20)+**
c(32,24,20)c(32,32,20)*s(40,40,28)t(24,48,28)-*
s(32,48,20)c(40,32,20)t(40,32,12)-s(24,32,28)*-
s(40,32,12)s(32,16,20)c(24,40,20)t(24,48,12)--+
t(32,48,28)s(32,40,28)t(32,24,20)t(40,40,12)+-*
s(48,16,12)s(8,40,12)+t(24,40,20)+s(32,40,20)*
s(24,24,28)s(40,48,20)-s(32,32,20)t(40,48,12)++
s(8,8,12)s(16,16,12)t(48,16,12)s(24,16,12)+++
s(32,40,20)c(40,40,20)s(24,24,28)*-s(24,16,20)+
c(24,24,20)s(32,24,20)s(40,40,28)*-t(16,40,12)+
s(32,48,20)s(40,16,20)+s(48,8,12)-t(40,24,12)-
s(24,48,20)t(16,32,12)-s(16,40,20)+s(16,32,20)*
s(40,24,28)s(32,16,20)-s(48,48,12)t(48,24,12)+-
s(32,40,20)c(24,24,12)s(40,40,28)+c(48,32,12)-*
s(24,32,28)s(32,40,28)s(32,24,28)*s(8,40,12)+*
t(40,24,20)s(48,32,20)+s(48,48,20)s(40,40,28)*-
t(24,48,20)s(32,32,12)-c(24,32,20)+s(16,40,12)-
s(40,32,20)s(24,16,20)-s(40,16,20)s(40,32,20)*-
s(16,24,20)s(48,48,20)c(24,16,12)+-t(24,40,20)-
s(16,32,12)s(40,32,20)+s(16,8,12)+t(24,40,28)*
t(32,48,12)s(32,24,28)s(48,24,20)*s(40,32,20)*+
s(24,32,28)s(8,48,12)t(32,40,20)+*c(32,48,12)+
c(40,40,20)c(24,24,12)-c(24,32,12)s(32,24,12)+-
s(32,48,20)s(40,24,28)+t(24,32,28)s(16,16,20)+*
t(40,24,12)t(24,48,28)t(48,40,12)t(24,48,20)+++
t(32,32,28)c(40,32,20)+c(48,32,12)-t(32,32,20)*
s(16,16,20)t(24,32,20)s(24,24,28)s(40,16,20)-*-
s(16,32,20)s(32,40,28)t(24,48,28)*s(40,24,20)--
s(48,40,20)s(8,40,12)+s(32,24,12)s(40,40,20)+*
c(32,40,20)s(40,8,12)t(24,32,12)+t(24,40,20)+-
s(48,48,20)t(16,40,12)c(32,24,12)++s(40,24,12)-
s(40,40,20)s(8,40,12)s(32,24,28)s(32,8,12)-+*
s(40,16,20)s(48,32,20)c(40,40,20)s(32,32,28)*--
t(24,24,20)c(16,48,12)+s(16,48,20)t(24,32,28)--
t(24,56,12)s(40,40,12)t(40,48,12)+s(32,24,28)++
s(48,32,20)s(32,32,12)-s(24,24,12)+t(32,24,12)-
s(40,32,28)s(48,24,20)s(48,16,12)-*t(32,48,28)+
s(40,32,28)s(16,48,20)-c(32,32,20)s(24,40,20)*+
c(32,32,12)t(48,40,12)+t(32,32,28)s(32,40,20)**
t(24,32,20)t(40,16,12)c(16,16,12)s(8,16,12)++-
s(32,40,20)t(40,48,12)-t(24,40,28)s(48,48,12)+*
t(24,32,28)t(24,48,28)t(40,32,20)-+t(40,24,20)-
s(32,32,20)c(32,48,12)-s(16,48,20)-s(24,40,28)*
s(32,32,20)c(32,24,12)-c(48,24,12)s(40,16,20)+-
s(40,40,28)s(40,32,28)c(24,40,12)--s(48,48,12)+
t(32,48,20)c(40,24,12)s(24,48,20)c(16,40,12)++*
s(32,16,20)c(40,24,20)s(24,32,28)s(24,16,20)*-+
t(24,48,28)t(40,48,20)c(40,24,12)+-t(48,40,12)+
s(40,40,12)s(48,48,12)+s(40,32,20)c(40,48,12)+*
c(40,32,12)t(32,56,12)+c(16,40,12)+c(32,32,20)+
c(32,24,20)s(40,24,20)-s(32,32,20)t(24,32,28)*+
s(32,32,20)c(32,24,20)t(48,48,12)+s(48,24,12)-*
c(24,24,20)s(40,16,20)s(40,32,28)c(24,40,20)*--
t(24,40,12)s(48,16,20)s(24,24,28)-t(48,16,12)-+
s(16,16,12)c(32,40,20)+s(40,48,20)s(32,32,20)+-
t(24,32,28)c(32,32,28)s(16,16,20)s(48,16,20)+*+
s(24,24,28)s(40,24,20)*s(40,40,20)s(32,40,12)--
c(40,24,12)t(32,40,28)s(32,16,20)-+s(40,32,12)-
c(24,16,12)s(16,16,12)+s(24,24,20)*s(48,16,12)+
t(40,24,20)s(32,24,28)t(24,32,20)-s(40,16,20)*+
s(24,24,28)s(48,40,20)-c(32,16,12)-c(40,24,20)-
c(32,40,20)s(32,16,20)s(24,32,28)*s(48,24,12)-+
c(24,24,20)s(32,40,28)s(24,40,28)**s(16,48,20)-
s(16,16,12)s(32,24,20)+s(32,32,20)s(24,40,12)-*
s(48,32,12)c(32,40,20)t(24,32,28)*+c(24,24,20)*
s(24,40,20)c(32,40,20)+c(32,16,12)s(40,48,20)+-
s(40,40,20)s(40,32,28)s(40,24,12)-s(48,48,20)**
t(24,32,28)t(32,32,28)t(32,40,20)+s(16,32,12)-*
t(32,32,28)t(32,48,20)s(24,32,20)+*c(16,16,12)+
s(32,40,20)s(32,48,20)s(48,32,20)+*s(40,32,12)-
t(40,32,20)s(40,24,20)s(32,8,12)-*s(24,48,20)+
t(32,24,12)s(48,16,20)c(48,24,12)-t(32,16,12)-+
s(32,32,20)t(24,32,28)s(32,16,12)-*s(40,32,12)-
t(32,32,28)s(24,32,20)s(40,24,20)-c(24,16,12)--
s(16,48,12)t(24,40,20)c(32,24,12)+s(40,32,20)-+
t(24,40,20)s(48,16,20)+s(32,32,20)c(32,48,12)++
s(48,16,20)s(24,24,20)s(40,24,20)+c(48,24,12)-+
s(8,24,12)c(32,32,12)+s(16,48,20)-s(32,24,28)*
t(40,32,12)t(48,40,12)+s(32,16,20)c(24,32,12)++
s(32,48,20)c(32,40,20)*c(24,32,20)*t(40,48,20)+
c(16,16,12)t(32,56,12)+c(48,40,12)+c(24,32,20)-
c(40,32,20)c(16,32,12)s(24,24,28)c(32,40,20)*+*
t(24,48,28)s(24,24,28)s(24,16,20)-t(40,24,20)--
s(32,32,28)c(24,32,20)c(24,40,12)-*c(40,48,12)-
t(24,40,20)c(40,24,20)s(48,16,20)-s(24,32,20)+*
s(32,24,28)s(40,40,12)-t(32,40,28)s(48,48,20)+*
s(24,32,20)c(40,24,20)t(16,32,12)+*c(16,16,12)+
s(24,40,28)s(16,48,20)t(24,48,20)--t(32,32,28)-
c(40,24,20)c(16,16,12)t(32,40,28)t(24,40,28)++-
s(40,24,28)t(24,24,20)-s(32,8,12)-c(24,24,20)-
s(16,16,20)t(32,48,28)t(32,40,28)*+s(32,48,20)-
s(32,16,20)t(32,32,20)s(16,40,12)-+s(40,32,20)*
s(16,48,12)c(40,24,20)s(40,24,20)s(24,24,12)--+
t(32,48,28)s(32,24,28)s(16,16,20)*t(40,32,20)+-
c(32,40,20)s(8,8,12)s(24,32,20)+-c(32,32,12)-
s(40,24,28)s(24,24,12)-t(24,32,28)+s(16,40,12)-
c(24,40,20)s(32,32,20)+s(16,40,20)s(32,40,12)++
t(16,48,12)s(40,24,28)t(40,24,20)-+t(32,32,28)*
s(16,16,20)s(24,16,20)+t(32,32,20)-s(16,24,12)-
t(40,48,20)c(24,48,12)+t(32,48,28)*c(40,24,20)-
c(32,32,28)s(48,32,20)c(24,32,20)s(32,48,20)*--
s(40,32,20)t(32,32,20)c(16,32,12)+t(40,24,12)--
t(32,32,20)t(24,32,20)s(48,32,12)s(16,8,12)++*
s(24,16,20)s(40,32,20)-c(24,24,20)c(48,40,12)+*
s(40,40,20)s(32,32,12)-s(40,16,20)s(24,24,20)+-
t(40,48,20)s(24,16,20)s(24,8,12)c(16,24,12)+*+
s(24,32,28)c(32,32,20)t(32,40,28)*-s(40,16,12)+
s(40,48,20)s(40,16,20)s(40,16,12)-+s(40,32,28)*
c(40,32,20)t(48,24,12)-s(40,24,28)s(16,40,20)-*
s(40,8,12)s(32,40,28)+s(40,40,28)*c(48,40,12)+
s(40,40,28)t(32,40,28)-s(24,48,12)+s(40,24,28)+
c(24,24,20)s(48,40,12)t(24,48,28)+t(32,48,28)+-
c(40,40,20)t(48,32,12)-t(24,48,20)c(40,48,12)+-
s(40,40,28)s(24,24,20)s(24,16,12)-t(24,32,20)++
c(24,32,20)c(32,40,20)c(40,40,20)*-s(24,32,20)*
s(32,32,20)s(24,40,28)t(32,32,28)*s(32,24,12)-*
s(48,48,20)s(40,16,20)+s(16,48,20)s(40,40,20)+-
s(32,48,12)s(24,40,20)s(40,32,28)*+s(40,32,12)-
c(24,40,20)s(48,16,12)c(24,32,20)+*t(32,24,20)-
t(32,48,20)c(40,32,20)s(24,32,28)*+s(48,24,20)-
t(32,48,28)s(24,32,28)*s(40,24,28)t(40,16,12)-+
s(32,32,28)t(40,40,20)-c(16,24,12)s(24,48,20)+*
s(32,32,28)s(16,32,20)s(16,48,20)-+s(24,40,28)*
t(24,32,20)c(40,40,12)-s(40,40,28)s(24,40,20)--
s(48,40,12)s(16,16,12)+s(24,32,20)t(24,48,28)--
c(32,32,28)t(24,32,28)-s(32,48,12)t(40,16,12)+-
t(48,48,12)s(40,32,20)t(24,32,20)-+c(32,32,20)*
c(24,40,20)s(24,24,12)-t(32,32,12)-c(24,48,12)-
s(24,32,28)t(48,16,12)c(24,40,12)+-c(24,16,12)-
t(24,32,20)s(40,32,12)s(48,16,20)s(40,24,20)*+-
s(48,16,20)s(40,16,12)-t(48,24,12)-t(16,16,12)+
t(32,48,28)t(48,32,12)+s(32,32,20)c(40,24,20)*-
s(24,40,28)c(24,32,20)t(24,32,20)--s(24,40,12)-
c(32,24,20)s(48,48,20)t(24,32,20)+-s(40,8,12)+
c(24,32,20)s(16,24,20)t(16,40,12)s(8,40,12)+-*
s(40,24,28)s(40,16,20)s(48,16,20)*s(16,32,20)+-
t(24,24,20)c(48,32,12)+s(32,32,28)s(32,40,28)**
s(16,24,20)s(40,32,28)s(32,40,20)s(24,24,28)**+
s(32,32,28)c(24,32,20)*c(40,32,12)t(32,48,20)+*
s(24,32,28)c(24,40,12)-c(24,24,20)*c(40,40,20)-
c(40,40,20)t(24,40,28)s(32,40,20)+*c(48,24,12)-
t(24,32,20)c(24,16,12)-t(40,24,20)+s(32,24,20)*
t(24,32,28)s(48,48,20)s(32,48,20)-+s(40,40,28)*
t(16,16,12)t(32,48,28)c(40,48,12)t(40,24,20)+*+
s(40,24,20)c(32,32,28)s(16,24,20)*-s(32,24,28)*
s(24,40,20)s(24,32,28)s(32,40,20)*s(16,24,12)+*
s(48,48,20)c(32,32,20)t(16,16,12)t(48,24,12)+--
s(40,16,20)s(16,32,20)s(48,16,20)s(48,40,12)++*
c(48,16,12)s(32,8,12)+s(32,24,12)s(8,16,12)++
t(40,24,20)s(48,16,12)-s(24,32,28)s(32,40,20)*+
s(32,32,28)t(24,32,28)+c(24,40,20)*s(40,40,20)*
t(24,32,28)t(40,32,20)-c(24,32,12)s(32,16,12)++
t(32,40,28)s(24,40,28)*c(48,48,12)-s(24,16,20)-
c(32,40,12)t(32,32,28)s(40,8,12)+s(48,32,20)*+
s(16,16,20)s(32,48,20)+s(32,16,20)-c(40,16,12)+
s(24,32,20)s(32,40,20)+t(32,32,28)s(24,32,12)-*
c(32,40,12)t(24,48,20)+s(40,48,20)s(24,24,20)+*
s(40,48,20)s(32,40,20)s(32,24,28)*s(24,40,20)*-
s(24,48,12)s(8,8,12)c(32,40,20)+s(48,48,20)*+
s(16,40,20)t(16,16,12)+s(40,40,20)-c(32,40,20)+
c(32,40,20)s(32,32,20)t(40,48,20)c(24,24,12)+++
s(24,32,28)s(32,24,20)-s(40,40,28)-c(48,48,12)+
c(32,32,28)s(32,16,12)t(24,48,28)+t(24,32,28)+*
s(24,40,20)s(16,16,20)+s(24,16,12)s(40,40,12)+*
c(40,32,12)s(40,16,20)c(32,24,20)c(40,32,20)**+
s(24,40,20)c(24,32,20)t(40,32,20)-*s(40,48,20)+
c(32,24,12)c(40,32,12)+s(24,24,12)-t(16,48,12)+
s(32,40,28)s(40,24,20)c(24,40,12)++s(48,48,20)+
c(32,48,12)s(40,40,12)+s(40,40,20)*c(24,32,12)+
c(40,24,20)s(32,24,20)*t(24,16,12)s(48,40,20)+-
s(48,16,20)s(40,40,28)-c(16,32,12)s(40,32,28)++
t(24,24,12)t(32,48,28)+c(16,32,12)+s(32,24,20)+
c(40,32,20)t(48,40,12)-t(16,48,12)c(24,32,12)+-
s(32,16,20)c(40,24,20)s(48,48,20)+s(48,48,20)-+
s(24,40,28)s(16,24,12)-s(8,48,12)-s(40,48,20)*
t(16,32,12)t(24,40,12)s(32,24,12)++s(24,24,12)-
c(32,32,28)s(48,32,20)-s(32,24,20)s(32,8,12)--
c(16,32,12)s(40,48,20)s(40,24,12)+s(40,48,12)-+
s(40,32,28)s(48,40,20)t(32,40,28)s(32,32,20)*+*
c(40,32,20)t(32,48,28)s(24,32,28)t(40,24,20)-*-
c(32,40,20)c(40,32,20)c(32,32,20)**s(8,24,12)+
t(40,40,20)t(40,32,20)s(16,48,20)t(16,24,12)+++
t(32,32,20)t(40,24,12)+s(16,16,20)-t(48,24,12)+
c(40,32,20)s(40,24,28)*c(24,24,20)+c(40,24,20)*
t(24,16,12)c(32,32,20)c(40,32,20)*+s(48,8,12)+
s(32,24,12)c(24,24,12)s(8,40,12)++s(16,32,20)*
s(24,24,20)s(32,32,28)s(16,32,20)**s(48,32,12)+
c(40,32,20)t(32,40,20)c(48,48,12)+*t(16,24,12)+
c(32,24,20)s(32,24,20)s(16,24,12)-c(48,24,12)--
c(24,32,20)s(16,40,20)c(32,32,20)-t(24,40,12)+*
s(40,40,28)t(32,48,28)t(24,32,20)s(40,48,12)+*-
c(40,40,20)t(24,32,28)s(40,24,20)++s(24,48,20)*
s(32,32,28)t(24,24,20)-t(24,48,20)-s(24,48,20)-
s(40,48,12)s(40,32,28)t(16,16,12)t(24,32,20)+*+
s(32,24,20)t(40,56,12)t(24,40,28)t(32,40,28)++*
c(32,40,20)s(48,48,20)+t(40,40,12)s(48,8,12)++
c(24,32,12)s(24,24,20)s(24,16,12)-c(40,40,12)-+
s(48,32,20)c(32,32,28)t(24,48,20)*s(48,48,12)+-
s(40,48,20)t(24,32,28)c(24,40,20)t(24,48,28)**-
t(32,48,28)s(48,40,20)s(40,32,28)*t(32,40,20)++
s(32,32,20)t(24,24,12)-c(40,32,20)s(32,40,20)**
s(40,40,28)s(40,24,12)-s(24,40,20)*s(48,32,20)+
s(40,24,28)s(32,40,28)t(32,32,12)-*t(40,16,12)+
s(40,40,12)t(48,40,12)+t(40,56,12)t(32,56,12)++
s(48,32,20)s(48,48,12)-s(40,32,20)s(16,32,20)-*
s(32,32,28)s(48,32,12)-s(40,48,12)-c(32,40,20)-
c(32,32,20)s(40,24,20)c(24,32,20)s(24,40,20)*-*
s(24,40,28)c(24,24,20)s(32,24,20)s(40,16,20)*--
c(32,32,20)t(24,32,28)+t(24,24,12)-t(32,48,28)*
t(32,48,28)c(32,32,20)s(40,16,20)-s(48,48,20)-+
t(32,32,28)c(32,32,12)-s(16,48,20)+t(24,40,28)*
t(40,16,12)c(24,40,20)+t(16,56,12)t(40,40,20)+*
c(32,24,20)c(32,48,12)c(24,24,20)+t(32,32,20)-+
c(24,32,20)s(32,40,20)c(32,24,20)t(32,40,20)--*
t(24,32,28)s(40,16,20)t(24,40,28)s(32,32,20)*-+
s(24,32,28)s(8,48,12)s(32,24,28)+*s(40,32,28)*
t(40,48,12)s(40,8,12)+t(24,48,28)c(24,48,12)--
s(32,40,20)s(48,40,12)-s(40,24,12)+s(48,16,20)-
s(16,16,12)t(24,40,28)+s(32,24,20)*s(40,24,20)+
c(40,16,12)s(24,32,20)+s(32,32,20)*t(32,40,28)*
s(32,32,20)s(40,16,12)-c(32,32,28)s(24,48,12)-*
c(24,24,20)s(48,24,20)+s(40,48,12)s(32,40,12)++
s(24,32,12)s(40,24,20)s(48,16,20)-t(24,56,12)++
t(24,40,28)s(40,40,28)t(32,48,20)-t(32,16,12)++
s(24,40,28)s(24,48,20)t(24,32,28)+*s(24,32,20)*
s(24,24,28)t(40,32,12)s(48,48,20)s(32,48,20)-++
c(16,40,12)s(32,8,12)+c(40,32,20)-c(16,32,12)+
c(40,40,12)c(48,16,12)+t(32,40,20)c(32,24,20)+*
t(24,24,12)t(24,32,28)s(32,24,28)c(40,32,20)**+
t(48,56,12)s(32,48,20)s(32,40,20)*+s(40,40,28)*
t(24,40,28)c(32,24,20)t(24,48,12)++t(32,24,20)-
s(8,48,12)s(40,48,20)c(32,40,20)++t(24,48,28)*
s(24,32,20)t(24,40,28)s(24,24,28)s(32,32,28)*-+
c(24,40,12)c(40,40,20)s(40,16,12)++c(40,40,20)-
s(24,48,20)s(48,24,20)c(40,32,20)*+s(48,32,12)-
t(32,48,12)s(40,16,20)s(32,32,28)s(24,40,20)-*+
s(24,40,20)c(32,16,12)+c(24,16,12)s(16,32,12)+-
c(24,32,20)s(8,24,12)-t(40,24,20)+t(40,16,12)-
t(16,48,12)c(16,16,12)+s(48,40,12)+c(16,32,12)+
s(16,40,12)s(48,24,12)+c(32,24,20)+s(32,40,12)-
t(24,32,28)c(48,24,12)s(40,40,20)+s(24,40,12)+-
s(48,16,20)s(32,48,12)s(32,16,12)t(48,24,12)++-
t(24,24,20)c(24,40,20)t(32,40,20)-s(40,24,28)--
t(32,32,28)t(24,40,28)*s(40,16,20)s(8,40,12)++
c(24,32,20)s(32,32,20)t(32,48,20)s(24,32,12)+++
t(16,24,12)c(24,40,12)t(48,56,12)++t(32,32,12)-
t(24,48,20)t(32,16,12)+t(24,48,28)s(16,40,20)*+
t(32,32,28)c(40,32,12)s(8,48,12)+t(24,40,28)++
s(32,16,12)t(24,24,12)+c(40,32,20)+s(48,48,20)*
s(40,16,20)s(32,24,28)c(40,24,20)s(48,24,20)***
s(32,32,20)s(40,24,12)-t(40,40,20)+c(24,40,12)-
t(24,32,20)t(16,24,12)c(48,16,12)+-t(24,48,20)+
s(16,24,20)t(24,40,12)s(16,16,20)+c(24,40,12)-*
c(40,32,20)c(40,24,20)c(24,24,20)**c(32,16,12)+
t(24,56,12)s(8,48,12)c(40,40,20)++c(24,24,12)+
s(40,32,28)s(32,40,28)c(16,32,12)s(16,8,12)+-*
s(48,48,12)s(40,32,28)s(40,24,12)-s(48,32,12)-+
c(32,40,20)c(32,32,12)s(40,8,12)+c(48,16,12)-*
c(16,16,12)s(40,40,20)c(40,40,20)c(32,24,20)**+
t(32,40,28)t(24,48,20)*s(48,32,20)+c(24,32,12)-
c(32,32,20)t(40,40,12)-s(16,32,20)s(16,16,12)-+
c(32,32,20)s(24,48,12)+s(24,40,20)*s(48,32,20)-
c(40,24,20)s(40,32,20)c(48,40,12)-*c(32,40,20)+
s(32,32,20)t(40,32,20)+c(24,24,12)t(16,40,12)+*
s(16,48,12)c(32,24,20)+t(32,24,20)c(48,40,12)+*
s(48,16,20)c(48,24,12)s(8,8,12)+s(32,16,12)+*
s(16,32,20)s(24,40,28)t(32,48,28)*s(40,24,20)--
t(32,48,20)s(40,32,28)+s(40,48,20)-c(48,40,12)-
s(24,24,28)s(32,40,20)-s(32,32,28)s(40,8,12)+*
t(24,40,28)t(24,32,20)s(24,24,28)s(16,16,20)-+*
t(40,32,12)s(32,16,20)+s(24,24,28)s(40,24,28)**
s(24,40,28)c(24,16,12)s(32,32,28)c(40,24,20)*+*
t(32,48,20)s(32,40,20)*c(32,40,20)s(16,32,20)-+
c(24,48,12)s(40,40,20)s(40,32,20)*+t(24,48,20)-
s(24,40,28)s(32,48,20)*s(32,40,20)*s(32,16,12)+
t(40,48,20)t(24,32,28)t(32,40,28)-+t(24,32,28)*
s(40,32,28)s(40,48,20)*s(48,48,20)c(40,40,20)**
s(16,32,12)s(48,32,20)s(40,48,20)t(40,24,12)+*+
s(40,24,28)c(24,32,20)c(16,24,12)-c(32,40,20)**
s(24,24,28)s(40,16,20)s(16,48,20)s(40,32,20)+*-
c(32,32,28)c(32,48,12)s(16,8,12)+-c(32,24,20)*
s(16,16,20)s(24,24,20)-s(16,16,12)+t(48,40,12)+
s(40,40,20)c(40,32,20)s(32,24,28)s(32,8,12)--+
s(24,24,28)s(24,32,20)s(40,40,28)+t(40,40,12)-*
s(16,40,20)t(32,32,12)c(24,48,12)c(24,40,12)++*
t(40,24,20)s(48,8,12)c(32,40,12)+c(48,32,12)++
t(32,56,12)s(24,40,12)s(48,40,20)+s(24,40,12)-+
s(40,16,20)c(16,24,12)c(16,40,12)+t(40,32,12)+-
c(40,16,12)c(16,32,12)+c(16,40,12)-s(32,16,20)*
s(32,24,20)s(24,24,20)*t(32,32,12)-s(24,48,12)+
t(24,48,12)c(40,24,20)s(16,16,20)-+s(32,16,20)*
s(48,48,20)c(32,16,12)+t(48,40,12)t(24,32,28)+*
s(40,24,28)t(40,48,12)s(16,16,12)+t(40,56,12)-+
t(32,48,28)s(40,32,28)t(24,24,20)+t(24,32,12)-*
s(24,48,12)s(32,24,20)+s(32,24,28)*s(32,48,20)+
t(24,32,28)s(24,32,20)s(40,40,12)++s(32,48,20)*
s(40,40,12)s(32,48,20)c(40,24,20)t(24,40,28)+*+
t(24,40,28)t(40,24,12)+t(40,24,20)t(32,40,12)+*
t(48,24,12)t(32,48,20)+s(48,8,12)+c(40,40,20)*
s(8,24,12)s(32,48,20)t(40,40,12)-+c(32,32,20)-
s(24,32,28)c(40,32,20)-t(48,32,12)+s(40,32,20)-
s(32,32,28)c(48,32,12)s(8,40,12)+s(40,16,20)--
c(40,40,20)c(24,32,20)s(16,32,12)-*c(32,24,20)+
c(24,32,12)s(40,24,12)+s(32,32,20)c(32,32,12)--
s(40,32,28)s(40,24,20)t(32,48,28)--s(48,32,20)*
c(40,48,12)s(48,32,12)+c(40,24,12)-s(48,48,20)*
c(32,32,12)c(16,24,12)t(40,32,12)++s(40,32,12)-
t(32,32,28)t(24,48,20)-s(40,40,12)-s(16,40,12)-
s(40,32,28)c(32,24,12)-t(32,24,20)s(16,24,12)-+
c(24,24,20)s(40,40,28)c(48,40,12)-s(24,24,12)--
t(40,32,12)t(32,48,28)t(32,48,20)t(24,32,28)+*+
t(16,40,12)c(48,24,12)t(40,48,12)++s(32,32,28)*
t(32,24,20)s(24,32,28)*c(24,40,20)+s(32,40,20)-
c(32,40,20)t(16,48,12)-s(32,16,12)+t(16,16,12)+
t(24,40,20)s(40,32,20)s(8,48,12)+c(32,24,20)*+
c(40,40,20)s(16,48,12)c(24,24,20)+*s(48,16,20)+
c(24,40,20)c(24,32,12)c(24,24,12)+-s(24,32,28)+
c(32,32,20)t(24,16,12)-s(48,16,20)-t(32,24,20)-
c(24,40,20)s(40,32,20)-t(40,48,20)+s(16,40,20)-
s(32,32,28)s(24,32,20)t(32,40,28)s(32,48,20)*-*
t(32,32,28)t(32,40,12)-t(40,32,20)-c(40,40,12)+
s(16,24,12)t(48,56,12)+t(16,32,12)+s(32,32,20)+
t(40,48,20)s(40,24,12)c(24,32,20)+s(40,24,28)-+
s(40,24,28)t(40,24,12)-c(40,32,20)*s(24,48,20)+
t(32,48,28)t(40,40,20)+t(32,40,20)s(16,48,12)+-
s(40,48,20)s(8,16,12)+s(8,24,12)+s(32,16,20)+
c(24,32,20)s(16,40,20)s(16,24,20)-+c(32,32,20)*
s(24,32,20)s(40,40,12)-s(16,16,20)s(8,16,12)-+
s(40,32,28)s(24,32,28)c(40,32,20)*-s(32,40,20)-
s(24,16,12)t(24,40,20)+t(48,48,12)s(24,32,20)+*
s(24,24,20)s(24,24,28)s(32,40,20)c(40,32,20)+**
s(16,16,20)c(24,40,12)+s(48,8,12)+s(24,24,28)-
t(32,32,28)t(32,24,12)t(40,24,12)+-t(48,40,12)-
c(24,32,20)c(32,16,12)-s(40,32,28)t(32,48,28)**
s(40,32,12)c(48,40,12)+c(24,40,20)+s(32,48,20)-
s(32,24,28)c(40,24,20)*s(16,24,12)c(40,32,20)+*
t(24,40,20)s(24,32,28)s(16,16,20)*t(24,16,12)++
t(40,24,20)t(32,40,20)s(24,40,28)c(24,32,20)**-
s(24,24,28)c(48,16,12)t(48,56,12)t(40,32,20)++*
c(40,24,20)s(32,32,28)s(32,16,12)-*s(32,48,20)-
c(32,32,20)s(48,48,12)+s(24,32,28)*s(48,32,20)+
s(16,8,12)t(16,56,12)s(24,8,12)++s(40,32,28)+
t(32,32,12)t(24,40,20)+t(40,48,20)s(48,48,20)+-
t(24,48,20)s(16,40,20)s(16,32,12)t(32,40,12)+-+
t(16,16,12)s(48,24,20)s(24,48,20)+s(24,32,28)*+
t(32,48,28)t(32,32,20)-t(32,32,28)-c(48,48,12)-
t(48,48,12)s(48,32,20)t(24,56,12)+t(32,32,28)*+
s(48,24,12)c(32,32,20)+c(32,32,12)-s(40,24,20)-
c(40,40,20)s(40,32,20)t(32,24,20)t(32,48,28)+*-
t(32,32,28)t(32,48,12)+t(24,48,28)*c(24,32,20)*
t(32,48,28)s(24,16,20)c(24,24,20)t(24,24,12)-+-
s(40,24,28)s(32,8,12)-c(32,32,28)s(24,16,12)-*
s(32,8,12)t(40,48,12)s(24,48,20)c(32,32,20)*++
s(24,16,20)c(24,32,20)c(32,40,20)s(24,16,20)--*
s(24,48,20)c(24,24,20)+s(24,32,12)-s(40,40,20)-
s(40,32,28)t(40,16,12)-c(32,40,20)-c(24,40,12)+
s(24,32,28)s(16,48,20)-s(16,16,12)-c(24,32,20)*
t(16,16,12)t(32,16,12)+t(40,40,20)+t(32,40,12)-
s(24,48,20)c(24,40,12)t(40,40,12)+*s(40,48,20)+
s(48,48,20)c(40,40,20)s(40,32,20)*+s(16,48,20)+
s(8,16,12)s(40,16,12)s(16,48,12)++c(40,32,20)-
t(24,24,12)s(32,24,28)s(40,24,20)c(24,40,12)+-+
c(40,24,20)c(16,32,12)s(48,40,20)s(40,32,20)*+*
s(32,32,28)c(24,24,20)s(8,48,12)+*c(48,24,12)-
s(40,16,12)t(32,56,12)c(48,16,12)+t(48,24,12)-+
t(48,16,12)s(40,48,20)t(40,48,12)-+s(40,32,20)-
s(32,32,28)t(32,24,12)-c(32,24,20)c(24,32,20)**
c(32,24,20)t(24,32,28)s(32,24,28)+s(32,40,28)*-
t(32,32,28)c(40,16,12)-c(24,24,20)*s(48,32,20)+
s(24,16,20)c(32,16,12)c(24,24,12)+t(16,32,12)--
t(24,32,28)t(24,40,28)s(24,40,20)*t(40,48,20)+*
s(40,16,20)s(24,16,20)*t(24,32,28)s(40,48,12)++
s(48,32,20)s(48,40,20)c(40,40,20)t(32,24,12)-**
c(32,32,28)s(48,32,12)-t(32,32,28)c(24,48,12)-*
s(32,48,12)s(40,16,20)+c(24,24,20)+t(24,32,28)*
c(32,32,20)s(32,24,20)*s(24,48,20)s(24,48,12)--
s(32,24,20)t(40,24,20)+t(32,40,12)s(40,24,20)+*
s(24,24,20)c(48,16,12)+t(32,24,20)t(32,32,12)--
c(32,16,12)t(48,40,12)+c(24,40,20)s(40,24,28)-+
c(40,24,20)c(40,40,20)s(48,24,20)t(24,32,28)+**
s(24,32,28)s(32,32,20)s(24,32,20)*-c(32,32,12)+
s(40,24,28)s(40,8,12)t(40,56,12)++c(24,40,12)-
t(32,24,20)t(32,48,20)+s(24,32,20)-t(48,48,12)+
s(24,40,28)c(40,48,12)-c(32,48,12)-t(40,32,20)+
s(48,32,20)s(40,24,28)*s(32,40,28)c(48,24,12)--
c(32,24,20)c(40,40,20)s(48,48,12)-t(24,40,28)+*
s(24,48,20)c(40,32,12)+c(24,40,20)*c(40,32,12)-
c(24,24,20)t(32,48,28)-s(48,24,12)+s(24,16,20)*
c(40,24,12)s(16,40,20)c(24,48,12)-+t(40,32,20)-
t(24,48,28)s(24,40,20)-t(40,40,20)+c(32,48,12)+
c(24,40,20)t(24,32,20)-t(24,32,28)t(16,40,12)-+
s(8,24,12)c(16,16,12)c(24,24,12)+t(32,40,20)++
s(32,24,28)s(32,40,28)c(32,16,12)s(8,40,12)+-*
c(32,32,20)c(24,48,12)s(48,32,20)s(48,16,20)-+*
s(32,32,28)s(40,24,20)*s(24,32,28)s(32,24,20)**
s(40,32,20)c(24,24,20)s(32,48,20)s(24,32,28)+*-
t(40,24,12)t(24,48,20)+c(48,16,12)-t(32,24,12)-
c(32,24,20)c(32,24,12)c(24,32,20)c(32,40,20)*+*
s(16,40,12)s(48,24,20)c(32,24,20)s(16,32,12)-*+
t(32,40,28)s(40,16,20)s(24,16,20)*+s(24,32,28)*
s(48,8,12)s(16,40,12)+c(32,24,20)c(16,24,12)+-
s(24,32,20)t(32,24,12)-c(40,40,12)+s(16,32,20)*
c(24,24,20)s(48,24,20)-c(16,16,12)-s(48,16,12)+
c(40,32,20)s(24,16,20)-s(48,40,20)s(40,32,12)--
t(32,24,20)s(32,48,20)+s(32,48,12)-c(24,16,12)-
c(32,24,12)s(32,48,12)+s(32,32,28)s(24,24,28)**
t(24,40,28)c(32,40,20)s(48,48,12)-*s(32,40,12)-
s(32,40,28)c(32,32,20)s(32,48,12)s(24,40,12)+*-
t(40,48,20)c(32,24,20)t(24,32,28)s(24,24,20)+*+
s(24,16,20)s(16,48,20)+s(32,40,28)*t(16,40,12)-
c(24,24,20)c(32,32,28)s(24,32,28)s(32,24,20)*-*
t(16,16,12)t(48,24,12)s(32,24,20)++c(24,32,20)*
t(48,16,12)t(24,48,28)t(24,48,12)-+s(24,40,28)*
c(40,32,20)c(24,24,12)-s(24,40,28)*c(16,24,12)+
s(32,16,12)c(40,40,20)t(40,48,20)-s(24,40,12)-+
t(24,40,12)s(48,32,20)s(40,24,12)-+c(40,40,20)*
t(48,16,12)t(24,32,28)s(16,24,12)-+s(40,24,12)-
t(24,40,28)t(40,40,20)+c(40,32,20)s(24,48,20)+*
s(24,24,28)s(32,32,28)*t(32,40,28)c(16,40,12)--
c(40,32,20)s(24,40,28)t(16,24,12)-s(32,40,20)**
s(40,40,28)c(16,40,12)s(40,16,20)+s(40,24,28)*+
c(40,32,12)t(48,16,12)+t(16,24,12)+s(40,16,12)-
c(32,40,20)c(32,24,12)-t(24,40,28)*t(24,32,12)-
t(24,48,28)s(16,16,12)t(24,48,12)+-t(40,32,12)+
t(16,24,12)s(32,32,28)s(32,48,12)-s(16,32,20)-+
s(40,40,28)t(32,48,28)s(32,32,20)--s(40,40,20)-
s(24,40,28)c(32,48,12)-s(32,24,28)*s(16,24,12)-
t(32,56,12)s(40,40,20)c(40,40,20)s(32,40,12)-*+
s(40,40,28)c(48,16,12)t(24,40,20)t(32,24,20)+++
s(32,40,28)c(40,48,12)-t(40,56,12)t(32,32,20)+*
s(24,32,28)s(48,48,20)-s(24,16,20)s(16,8,12)-*
s(32,24,28)s(40,32,28)s(32,40,20)s(24,32,28)*-*
t(24,48,28)s(32,40,20)*s(48,32,12)+s(40,48,12)-
t(32,32,28)s(32,32,28)c(24,48,12)-c(16,32,12)-*
c(24,32,20)s(40,40,20)c(24,24,20)-+c(32,48,12)-
s(40,40,28)s(16,32,12)+t(32,48,28)t(40,56,12)--
c(24,24,20)t(24,32,28)*c(40,40,20)s(32,32,28)*+
s(40,40,12)t(40,24,20)+t(40,16,12)-t(32,16,12)+
s(32,40,20)s(40,32,28)s(48,24,20)+*c(48,32,12)-
c(40,24,12)s(24,16,12)s(8,24,12)++c(40,40,20)-
s(32,24,20)s(40,32,12)s(32,48,20)+c(32,24,20)-+
s(16,16,20)t(32,40,20)+c(24,40,20)s(40,16,12)+*
t(48,48,12)s(40,32,28)c(32,40,20)+s(24,32,28)*+
s(32,24,28)c(24,24,12)-s(24,16,20)-c(32,24,20)*
s(32,32,20)t(32,48,20)+t(40,32,20)-t(24,56,12)-
s(24,48,12)c(32,24,20)t(40,32,20)*t(32,32,28)*+
s(40,48,12)s(48,32,20)s(40,24,28)*+s(32,24,28)*
s(24,40,28)s(40,48,20)*s(40,24,20)+s(32,24,28)*
c(32,32,28)c(48,48,12)c(16,16,12)+-t(32,32,28)*
s(32,16,20)s(24,32,28)*c(48,48,12)t(32,40,20)+-
t(32,32,28)s(40,8,12)+c(40,40,20)c(40,32,20)**
t(16,40,12)c(48,24,12)+c(24,24,20)-c(40,32,20)+
c(24,40,20)c(24,32,20)*t(40,24,20)-s(40,40,28)+
c(40,40,20)s(32,40,20)c(16,48,12)-t(48,40,12)-*
c(40,24,20)s(40,40,20)-s(48,48,12)c(24,24,12)+-
s(24,40,20)s(16,16,12)t(24,24,12)++c(24,40,20)*
c(40,24,12)c(16,16,12)+t(32,32,28)s(40,32,20)*+
s(16,32,20)s(24,40,28)t(40,48,20)+s(16,32,20)-+
t(24,32,28)s(16,24,12)t(24,40,12)+-c(32,48,12)-
c(24,48,12)s(48,40,12)+s(24,48,20)+c(48,40,12)-
c(40,32,20)s(32,32,20)c(32,24,20)*t(32,32,28)**
s(32,32,20)t(32,32,20)s(8,8,12)++t(24,40,28)*
c(40,40,20)s(32,24,28)t(24,48,28)s(16,40,20)*-+
t(32,32,28)s(24,32,20)s(48,16,12)+s(24,24,28)**
c(32,24,20)s(48,16,20)-c(16,40,12)-s(32,32,28)*
s(24,24,20)s(40,32,20)c(40,24,20)s(32,16,20)*--
c(32,40,12)c(32,32,28)t(24,40,28)s(24,24,28)*-+
s(40,40,20)s(40,40,28)s(8,24,12)+t(40,48,20)--
t(24,32,28)s(48,24,20)s(24,24,20)c(24,16,12)-+*
t(32,32,28)s(24,24,28)*s(24,24,20)s(16,32,20)--
s(16,48,20)s(40,40,28)s(24,40,28)*s(16,48,20)-+
t(24,48,28)s(40,16,12)+s(32,24,28)-c(24,32,20)-
s(48,40,20)c(32,24,20)s(40,16,20)*+c(48,16,12)-
s(48,32,20)c(24,40,20)+s(24,24,12)-c(32,32,28)*
c(24,40,20)c(16,40,12)c(40,24,20)s(48,24,20)++-
c(24,40,20)c(40,32,20)s(48,24,12)-t(16,48,12)+-
c(48,40,12)c(32,48,12)s(16,8,12)++s(40,40,20)*
s(24,24,28)c(40,40,20)-t(48,56,12)+s(16,32,20)-
s(24,40,28)s(40,24,28)*c(24,16,12)s(40,40,20)+*
c(24,32,20)t(32,40,28)s(48,48,20)--t(40,48,20)-
s(24,32,20)s(40,8,12)+c(24,16,12)c(24,32,12)+*
c(32,32,28)c(24,32,20)c(24,48,12)s(32,40,20)+--
c(32,32,20)t(24,32,28)t(24,16,12)-s(32,16,20)-*
s(40,24,28)s(24,32,28)t(24,32,20)-s(16,32,20)--
t(16,32,12)s(32,48,12)c(40,24,20)+s(24,40,28)*+
s(24,40,28)t(32,32,28)s(32,16,20)t(32,40,28)--*
s(32,8,12)c(40,32,20)s(40,32,12)-c(48,16,12)++
s(32,32,28)s(24,24,28)*s(16,24,20)+c(48,32,12)+
s(32,48,20)s(40,32,28)c(40,32,12)-+s(24,40,20)*
s(16,16,20)t(32,40,12)+s(40,24,28)c(32,40,20)--
s(48,24,12)c(24,48,12)s(16,16,12)++s(32,40,28)*
s(40,40,28)s(24,32,12)t(24,48,20)s(24,40,20)*+*
s(16,16,20)s(40,24,20)s(32,48,20)-s(16,24,12)+*
s(16,40,20)s(32,48,20)t(40,40,12)s(24,48,20)++*
t(48,40,12)t(32,40,28)s(32,24,20)*+c(48,16,12)+
c(32,40,20)c(24,40,12)-t(24,48,28)c(24,24,12)--
s(32,40,28)s(32,48,12)-s(48,32,12)-s(24,48,20)-
s(24,32,28)s(24,24,20)-s(40,24,20)s(8,32,12)+-
s(32,24,20)c(40,32,12)+t(40,24,20)*s(16,24,20)-
s(24,32,20)t(32,32,28)t(24,40,28)c(24,32,20)*+*
s(40,40,28)c(24,40,12)-c(16,48,12)+t(32,40,28)-
t(24,40,28)t(40,24,20)c(16,24,12)+s(32,40,28)*-
s(40,32,28)s(32,48,12)c(40,32,12)s(24,32,20)++*
s(40,24,28)s(48,16,20)s(24,8,12)+s(32,24,12)--
s(8,32,12)s(48,16,12)t(16,32,12)+s(32,16,12)++
t(24,32,28)s(32,40,28)*s(16,24,20)-c(32,24,20)+
s(32,48,20)c(16,32,12)-c(32,32,28)*s(40,32,28)*
c(32,24,20)s(8,24,12)t(32,48,28)+c(24,24,20)*-
c(48,32,12)c(40,32,12)+t(32,48,28)-s(32,40,12)+
s(32,24,28)t(24,48,28)c(32,24,20)+s(16,24,12)-*
c(16,32,12)s(40,32,12)t(32,48,20)++s(24,24,28)-
s(40,32,28)s(16,32,20)t(24,48,28)t(48,24,12)++*
t(32,48,12)s(40,32,20)t(24,32,28)s(40,40,28)**+
c(24,32,20)s(32,40,20)s(24,40,20)*s(16,48,20)+-
s(24,48,20)s(40,16,20)s(40,48,20)s(40,32,20)*+-
t(24,24,12)c(32,16,12)+t(32,32,28)+s(32,16,20)*
t(24,32,28)c(32,24,20)*s(40,16,20)s(24,24,28)*-
c(24,24,20)s(24,8,12)c(40,32,12)+c(32,32,28)**
c(40,48,12)s(24,40,20)+s(40,40,28)c(40,32,20)+*
s(40,40,28)t(40,24,20)-t(24,40,20)t(32,40,28)*-
c(40,32,20)t(24,24,20)+s(16,24,20)+s(32,40,12)-
c(48,24,12)c(32,40,20)+c(32,32,20)s(48,32,20)+*
s(40,48,20)s(24,32,20)s(40,16,20)--t(32,48,20)+
c(24,32,20)s(40,40,28)*t(32,48,20)s(16,24,20)+*
s(40,32,20)c(32,40,20)s(32,40,28)s(48,32,20)*--
s(40,40,28)s(40,40,20)t(24,24,20)++t(32,24,20)*
s(48,32,12)s(32,16,20)+t(40,24,12)-t(40,24,12)+
s(24,24,20)t(24,48,28)s(32,40,20)*-t(40,40,12)+
s(24,48,20)c(24,24,20)s(32,32,20)*t(24,32,28)*-
s(40,32,28)s(48,40,20)-s(40,24,28)*s(32,24,20)*
c(40,40,20)s(40,32,28)t(24,32,20)-c(48,16,12)--
t(24,32,28)s(32,32,28)s(48,24,20)-*t(32,24,12)-
t(32,40,28)s(48,32,20)t(32,48,28)s(40,40,28)*+*
c(32,32,20)s(24,40,12)s(40,16,12)+*s(32,32,20)+
s(32,40,20)s(32,32,20)s(32,48,20)s(40,24,12)+*+
c(32,40,20)t(32,32,28)c(16,48,12)-*c(40,24,12)-
s(16,32,20)t(32,40,20)-c(24,32,20)s(16,32,20)**
c(32,32,20)s(48,40,20)c(40,24,12)-s(32,24,20)+*
c(32,24,20)s(24,16,12)c(40,24,20)+*s(24,40,28)+
c(24,40,20)s(32,24,28)c(32,32,20)t(40,24,20)*-*
s(40,40,28)t(40,32,12)-s(48,32,20)*s(32,24,20)+
t(32,48,28)s(16,48,12)-s(40,32,28)+t(24,32,28)*
s(24,24,20)c(24,40,12)c(48,32,12)c(32,24,12)++*
s(16,32,20)s(48,16,20)s(16,24,12)+-t(32,32,12)-
t(16,16,12)s(40,32,20)c(40,32,12)s(8,8,12)+*+
c(32,40,12)c(40,16,12)+c(40,24,20)s(40,40,20)-+
s(40,24,20)c(24,48,12)t(32,40,12)++c(32,16,12)-
s(24,16,12)c(24,40,20)c(32,24,20)t(32,40,28)**+
s(40,40,28)s(48,32,20)s(40,40,20)*-t(40,48,20)+
s(32,24,12)s(32,48,20)+c(32,16,12)-s(24,40,28)*
s(40,40,28)c(32,32,20)t(24,40,12)-*s(40,32,12)-
c(24,32,20)s(32,40,20)*c(16,32,12)c(16,24,12)+-
t(32,32,28)s(32,32,20)s(16,32,20)c(24,40,12)+--
s(24,32,28)t(32,40,28)*t(24,48,28)s(16,32,12)-*
s(32,48,12)t(32,48,12)s(16,16,12)++t(48,48,12)+
t(16,16,12)s(16,48,20)+s(24,40,20)-t(32,48,28)-
s(24,24,20)s(40,32,12)t(24,40,20)+c(24,16,12)+*
s(40,48,20)s(16,16,12)+s(32,48,12)s(40,24,20)+*
t(32,40,12)s(24,16,20)+s(32,40,20)s(48,48,20)+-
s(40,16,20)s(40,32,20)s(40,32,12)s(48,24,12)+--
c(32,40,20)t(40,48,20)*s(16,32,20)c(16,40,12)-+
t(24,48,28)c(40,24,20)c(32,32,20)+s(16,32,20)*-
s(48,32,20)s(24,32,20)t(24,32,12)-+c(32,24,20)*
s(40,8,12)s(48,48,12)+c(32,32,20)+s(24,40,20)*
t(16,16,12)c(16,48,12)+s(32,48,20)s(40,40,20)--
t(40,32,12)s(24,48,20)t(40,40,20)t(24,40,12)+-+
t(32,32,28)s(40,40,20)s(16,40,20)-s(24,48,12)+*
c(32,32,20)c(40,40,12)s(40,32,12)+-s(40,16,12)-
s(16,40,20)t(32,40,28)t(40,48,20)*+t(24,48,20)-
s(24,32,20)t(24,48,28)+s(24,16,20)s(24,32,28)**
s(48,32,20)c(32,32,28)*s(48,24,20)*t(32,48,28)-
s(24,24,20)s(40,32,12)+t(32,56,12)t(24,40,28)+*
t(24,40,28)s(40,32,28)*t(32,48,28)*s(48,8,12)+
s(32,24,20)s(40,32,20)t(40,32,12)s(40,48,20)+*-
s(32,32,28)s(16,40,20)s(48,40,20)+-c(32,32,20)+
s(40,40,20)s(24,24,28)t(32,56,12)+s(24,48,20)*-
c(32,32,20)s(40,8,12)c(24,32,20)s(24,40,20)*+*
s(24,32,28)c(32,24,20)s(48,16,20)*s(48,40,20)+-
s(40,40,28)t(24,48,20)t(32,48,12)-c(24,32,12)+-
s(24,48,20)s(24,16,20)t(32,48,20)s(8,24,12)+-+
c(32,32,20)t(40,24,20)*c(40,40,20)c(40,24,20)*+
s(32,24,28)t(48,16,12)-c(16,32,12)t(32,40,12)+*
c(16,24,12)t(40,48,20)+c(40,40,20)c(32,40,20)**
s(32,40,28)s(48,24,12)-s(24,32,28)t(32,24,20)*-
s(32,40,28)s(32,40,20)c(24,48,12)+s(24,32,28)*-
c(24,48,12)c(24,24,20)s(24,48,20)s(24,32,12)+*+
s(24,24,28)s(32,48,20)+t(24,24,20)-t(24,40,28)-
c(32,24,12)s(16,16,20)+t(16,48,12)c(40,24,12)+-
c(16,48,12)c(24,48,12)+c(24,32,20)+s(16,24,12)-
c(24,32,20)s(24,16,20)*s(40,48,20)+c(24,32,20)+
s(16,48,20)s(8,24,12)+s(16,32,12)-c(24,40,20)-
s(48,32,20)s(40,32,20)*t(32,32,12)-c(16,32,12)+
t(24,48,28)t(32,32,28)*t(48,56,12)t(32,40,12)++
t(16,32,12)s(32,40,20)+c(40,24,20)s(24,40,20)+*
s(8,8,12)c(48,16,12)+c(40,32,20)s(16,40,20)--
t(32,32,28)c(24,40,20)t(24,32,28)*t(32,40,20)*-
s(32,24,28)c(32,40,20)s(32,16,20)s(32,32,28)*--
s(32,32,28)s(24,24,28)s(8,24,12)-s(16,24,20)**
t(24,48,28)s(48,48,20)-t(16,32,12)t(16,56,12)+-
c(32,32,20)c(48,16,12)c(24,32,20)+*c(24,40,12)-
s(48,40,20)c(40,32,20)*c(32,32,20)s(40,16,12)-*
t(32,48,28)c(16,48,12)-s(48,24,20)s(8,8,12)+-
s(16,8,12)c(32,48,12)+s(24,16,12)s(8,8,12)+-
s(16,8,12)s(32,40,28)c(32,32,20)s(16,24,20)-*+
s(24,32,20)s(48,24,20)-s(48,40,12)+c(40,24,20)*
c(40,40,20)s(32,24,20)c(24,40,20)*c(40,48,12)+*
t(24,32,28)t(48,56,12)+t(32,24,20)c(24,40,20)+*
s(32,48,20)s(24,48,20)s(32,32,20)+s(32,24,20)+*
s(40,32,28)c(24,32,20)s(8,24,12)-*s(40,40,28)*
c(16,40,12)c(40,40,20)+s(8,24,12)s(40,40,20)+-
s(24,32,28)t(32,40,28)s(24,24,20)+*c(40,32,20)*
c(32,24,20)s(48,24,12)-s(24,40,28)t(40,40,12)-*
s(40,32,28)s(40,8,12)s(40,40,12)+t(48,32,12)--
c(24,32,20)s(16,24,20)t(32,16,12)t(16,40,12)+-*
s(24,32,28)s(40,48,20)s(48,40,12)--t(24,40,28)-
s(48,32,20)s(24,32,28)+s(16,32,12)-t(40,40,20)-
s(48,40,20)c(40,24,20)c(24,40,12)-c(40,32,20)*-
s(40,32,28)s(24,40,28)c(40,40,20)**c(48,24,12)+
t(24,48,28)s(48,40,12)t(48,24,12)++t(40,48,20)-
c(32,40,20)t(24,48,20)-s(24,16,20)+s(48,48,12)-
s(32,48,20)t(32,40,28)+s(24,32,12)-s(40,40,20)*
s(32,48,12)t(24,16,12)+t(40,48,20)c(32,24,20)-+
s(24,16,20)s(40,24,20)t(32,24,12)-+s(24,24,28)-
c(32,32,12)s(24,16,20)+c(40,32,20)-s(8,24,12)+
s(24,40,28)s(32,40,28)*s(8,32,12)s(32,24,20)+-
c(32,40,20)s(8,40,12)+t(16,32,12)-s(24,32,20)-
s(32,24,28)c(16,32,12)-s(40,32,20)c(32,48,12)-*
c(40,40,20)s(32,40,28)c(40,32,12)-*c(16,48,12)-
s(16,48,20)s(40,48,20)t(32,40,28)+-s(8,8,12)+
c(32,24,20)t(32,24,12)-t(16,16,12)+t(16,32,12)-
s(8,16,12)c(40,24,20)s(48,24,20)-+s(40,40,12)+
c(32,32,20)s(48,48,12)c(24,32,20)s(40,32,12)-+*
t(32,32,28)t(32,40,12)-c(24,32,20)t(16,24,12)-*
t(24,32,28)s(32,40,20)-s(32,16,20)+t(32,24,20)-
c(32,32,20)s(40,32,28)s(48,48,20)+*t(32,40,28)*
t(32,48,28)t(40,48,20)t(32,40,28)*-s(16,48,20)*
s(32,32,20)c(32,24,20)s(40,48,20)+t(32,48,28)-*
c(24,32,12)c(16,48,12)+t(32,48,20)t(48,16,12)+-
t(48,16,12)t(40,24,20)s(32,24,20)t(32,40,12)+*+
s(24,24,28)t(40,32,20)-s(24,24,12)-s(16,24,12)-
s(32,24,28)s(24,32,12)-s(24,16,20)-s(40,24,12)-
t(24,32,28)s(48,40,20)s(32,40,20)+s(16,32,12)+*
s(24,16,20)t(32,40,20)+s(16,8,12)t(32,48,12)+-
s(40,24,28)t(32,48,28)-s(32,32,20)s(32,16,20)*-
s(24,24,28)s(40,40,20)-c(40,16,12)-c(32,32,20)-
s(24,32,20)t(32,40,28)c(32,24,20)*s(24,8,12)+-
s(40,40,28)t(32,40,28)s(24,24,20)+s(24,16,12)--
s(32,40,28)s(24,40,28)s(48,16,20)t(24,16,12)+-*
c(24,32,12)s(24,16,12)+c(24,32,20)s(48,48,12)+*
c(24,32,20)s(8,40,12)-s(32,48,20)s(16,8,12)+*
s(40,40,20)s(24,32,20)c(32,32,20)+t(24,32,28)-+
c(40,24,12)c(24,40,12)s(24,32,12)++s(16,48,12)-
s(32,32,20)s(16,32,20)t(40,48,20)+c(40,40,20)*-
c(24,24,20)t(32,32,28)s(8,8,12)c(16,32,12)+-*
c(24,24,20)s(40,40,28)c(32,40,20)*s(32,24,28)**
s(24,40,28)c(32,24,20)s(40,40,28)*-s(48,48,20)+
s(40,48,20)s(16,48,20)+s(24,32,28)*s(32,40,20)*
s(16,32,20)t(32,16,12)t(40,40,12)++s(16,16,20)*
s(16,40,20)c(40,32,20)-s(40,24,20)s(40,48,20)++
c(40,40,20)t(16,40,12)s(32,32,20)+s(24,16,20)--
s(48,48,20)s(32,48,20)*s(32,32,20)c(32,16,12)++
c(24,16,12)s(32,40,20)s(40,32,28)*t(24,24,20)++
s(16,16,12)c(24,40,20)+s(32,40,12)t(48,48,12)+-
s(24,16,20)t(24,40,12)s(32,16,20)+*s(48,40,20)+
s(40,24,20)t(24,32,20)s(48,16,12)+s(32,48,20)--
t(32,24,20)t(32,48,12)c(24,16,12)+s(24,32,28)*+
t(40,32,20)t(24,48,28)t(40,48,20)t(32,48,20)+-+
s(16,32,20)s(24,32,28)c(24,32,12)-*c(48,48,12)+
t(24,32,28)c(48,24,12)s(32,40,20)c(48,32,12)-+-
c(32,24,20)s(32,32,12)c(24,24,12)+c(16,40,12)+-
t(32,16,12)s(32,40,20)c(40,32,12)-t(32,40,12)++
s(16,8,12)s(16,48,20)t(32,48,28)*s(8,40,12)++
t(40,24,12)t(40,48,20)+t(32,40,28)s(40,40,28)**
s(16,24,12)t(24,16,12)+c(24,32,12)+t(24,40,12)-
s(24,40,28)c(32,40,12)-t(32,48,28)+s(16,16,20)+
s(32,8,12)c(16,48,12)+c(24,16,12)+s(32,40,12)+
t(24,48,20)s(8,24,12)+s(32,40,28)*t(32,32,12)+
c(24,40,20)s(40,40,20)-s(24,24,28)s(8,8,12)-*
s(40,32,20)s(40,40,20)s(32,24,20)t(32,32,20)*+*
s(24,32,20)t(32,40,28)*t(24,24,20)c(40,48,12)++
c(24,24,12)s(8,48,12)+t(32,40,12)c(16,16,12)+-
c(40,24,20)t(24,16,12)t(40,56,12)+s(48,32,20)+*
c(24,32,20)s(40,32,12)s(24,32,12)c(40,24,12)++*
s(32,32,28)c(40,24,20)*c(24,24,20)*t(24,32,20)+
t(32,40,20)s(24,32,28)s(48,40,20)-t(24,40,28)*+
s(32,24,28)s(40,40,20)c(48,40,12)--c(16,16,12)-
s(8,16,12)t(40,48,20)c(24,16,12)++s(32,48,20)-
s(40,24,28)s(40,32,20)t(24,32,28)s(24,24,28)*-*
t(32,32,12)s(16,16,20)+s(48,40,20)t(32,16,12)+-
s(40,8,12)s(40,40,28)+c(24,32,12)-t(32,32,28)-
c(40,24,20)s(32,24,28)c(40,32,20)--c(40,24,12)-
t(32,32,28)s(48,32,12)-s(40,48,12)+s(24,24,20)*
s(48,32,20)c(40,40,12)s(48,16,20)s(32,40,28)-+*
c(48,48,12)s(24,40,12)+t(24,48,28)s(40,24,28)--
s(40,24,28)s(24,32,12)-s(32,48,20)-s(32,24,28)*
c(48,48,12)c(32,32,20)+s(16,16,20)-s(32,32,20)*
s(24,24,28)t(32,24,20)s(40,24,20)s(48,48,20)-*-
s(32,40,28)s(24,24,28)s(40,48,20)s(40,32,20)+**
s(32,40,28)s(24,16,20)-s(32,24,28)t(40,32,12)-*
c(24,32,20)c(40,40,12)s(24,48,20)t(16,40,12)-+-
c(32,24,20)s(24,40,28)s(32,32,28)+s(32,24,12)--
s(32,24,28)s(48,16,20)c(32,32,20)--s(40,40,28)-
s(40,40,28)t(32,40,28)s(40,24,20)+t(32,48,12)-*
t(24,40,28)s(32,48,12)-t(24,48,28)c(32,24,20)--
s(40,32,28)s(48,32,12)-t(40,24,12)-s(48,48,20)-
s(40,24,20)s(24,24,28)s(32,40,28)-t(16,24,12)--
s(24,32,20)s(32,8,12)c(32,40,20)c(48,32,12)-+*
s(48,24,20)s(24,16,20)s(8,40,12)++s(48,16,12)-
s(24,40,12)s(32,48,20)c(24,40,20)*c(32,32,20)*+
s(8,48,12)s(24,24,28)c(40,32,20)*+c(16,16,12)+
s(24,32,28)c(24,16,12)s(32,24,12)+-t(32,48,20)+
c(40,40,12)c(24,24,12)c(48,32,12)++s(32,40,28)*
s(24,40,12)s(40,24,12)s(48,8,12)c(40,16,12)+++
c(24,32,12)s(48,24,20)t(40,40,20)-+c(24,24,20)-
s(24,40,20)s(24,24,28)t(24,40,28)**s(24,16,20)+
s(32,32,28)s(24,40,28)c(32,16,12)t(40,16,12)++*
c(32,16,12)s(8,24,12)t(16,24,12)+s(24,32,20)++
t(32,32,28)t(40,48,20)s(40,24,20)--c(24,16,12)-
c(24,32,20)s(16,24,20)s(24,24,20)t(32,40,20)-**
t(32,48,28)c(32,24,20)t(16,24,12)t(24,32,12)+-+
s(24,16,20)s(48,24,20)s(32,24,20)*-t(24,48,28)+
c(24,24,12)s(40,32,12)+t(32,32,28)+s(40,40,28)*
s(24,32,28)s(40,32,28)+c(16,32,12)-s(32,40,28)*
t(24,32,28)t(16,32,12)-s(8,48,12)-s(16,40,20)-
s(40,16,20)s(8,48,12)+s(48,16,20)+t(48,48,12)+
s(40,40,12)t(32,48,12)c(40,48,12)+t(32,48,20)++
t(16,48,12)s(32,24,20)+t(40,48,12)+s(24,40,12)-
s(48,48,20)t(16,24,12)s(40,40,20)s(16,32,20)-+-
c(48,16,12)c(40,32,20)+s(32,16,20)*t(24,24,20)+
c(24,40,12)t(32,40,28)s(16,48,12)-+t(24,40,20)-
s(16,24,20)t(24,48,28)s(40,48,12)+t(24,48,12)--
s(40,48,20)t(32,40,28)s(32,32,28)+*s(40,32,28)*
s(32,32,28)t(40,48,12)s(24,40,12)+-s(40,32,20)+
s(24,16,20)c(32,32,20)-c(24,24,20)s(24,24,12)-+
s(32,32,28)s(24,32,28)s(24,48,12)-*s(48,16,20)-
c(40,32,20)t(24,32,28)s(40,32,28)*s(32,24,28)*-
s(32,16,12)s(40,40,20)s(48,8,12)+s(16,24,12)++
s(24,32,28)t(24,40,12)-s(16,40,20)t(32,40,28)--
s(24,24,28)s(24,48,20)-s(24,40,20)-c(16,32,12)-
s(16,8,12)s(24,40,12)+s(40,32,28)t(32,48,20)--
c(32,40,20)s(24,32,12)-t(40,48,20)s(32,8,12)+*
s(32,16,20)s(24,32,28)*s(24,40,28)t(32,24,20)+*
c(24,32,20)t(32,24,20)c(48,32,12)-s(16,8,12)+*
t(24,48,28)t(48,16,12)+c(16,32,12)+s(24,24,20)-
c(32,40,20)s(16,40,12)-s(32,32,20)c(24,24,20)*-
c(32,32,20)t(40,16,12)-s(48,40,20)*t(32,40,12)+
s(8,48,12)s(32,32,28)s(48,24,20)-+s(32,40,12)-
s(32,24,28)s(32,16,20)s(32,40,28)-t(24,48,20)+-
s(40,32,20)t(40,48,20)s(32,24,20)+*c(32,24,12)+
s(24,8,12)s(48,16,20)+c(32,24,12)-s(48,16,12)-
t(24,24,12)s(32,48,20)+s(32,24,28)s(32,8,12)-*
c(40,24,20)c(48,32,12)s(24,32,20)+t(16,32,12)-*
s(32,32,20)s(24,32,20)s(16,40,20)s(24,40,20)**-
s(24,32,12)s(32,16,20)c(40,32,20)-t(32,16,12)-+
c(40,32,20)s(16,8,12)c(24,24,20)+t(16,24,12)-*
s(24,24,28)s(24,32,28)s(16,16,20)+s(16,32,12)--
t(24,40,28)t(24,56,12)s(24,32,20)c(16,32,12)-+-
s(24,24,28)s(16,40,12)-s(40,24,28)s(16,16,20)-*
s(8,24,12)s(48,40,20)t(32,32,28)t(32,16,12)--+
s(32,24,28)s(32,24,20)s(48,16,12)--c(32,24,20)*
s(24,40,12)t(40,32,12)s(24,32,12)++t(16,56,12)+
t(40,24,12)t(16,24,12)t(32,48,28)t(40,24,20)-++
t(32,32,20)s(40,40,28)c(32,40,20)*s(48,8,12)+*
s(40,32,28)s(48,24,20)*t(40,40,12)-c(32,32,20)+
t(32,56,12)s(32,24,28)s(16,32,12)-c(32,40,20)*+
c(24,24,20)s(24,16,20)*s(48,32,20)-s(40,16,20)+
s(40,40,28)s(32,40,28)c(32,32,12)c(24,16,12)+-*
s(48,16,20)s(40,24,20)t(40,32,20)t(48,56,12)+*+
s(32,24,20)s(40,48,20)s(32,24,12)+t(32,48,28)*-
s(32,48,20)s(40,40,28)*t(40,40,20)s(48,40,20)*-
t(32,32,20)s(8,48,12)t(32,40,20)+t(40,32,20)+*
s(16,48,12)c(48,48,12)+c(40,24,20)+s(48,48,12)-
s(16,40,20)s(32,40,20)s(32,32,28)s(48,40,20)*+*
s(24,40,20)s(32,24,28)t(32,40,28)*+c(16,48,12)-
c(32,24,20)s(40,24,20)*s(24,48,20)+s(32,48,20)*
t(32,40,28)t(40,48,12)-c(40,40,20)t(24,48,28)*-
s(32,40,28)t(40,32,12)s(40,16,20)++s(48,24,20)+
t(32,40,28)t(24,32,20)c(48,48,12)+t(32,40,20)-+
s(24,24,20)s(32,32,20)s(40,32,28)s(48,48,20)*-+
t(40,48,20)s(8,40,12)+c(48,32,12)+t(32,32,28)*
s(40,40,28)c(32,40,12)-t(24,32,28)+c(32,40,12)-
s(40,32,28)c(24,24,12)c(24,40,20)+-s(40,24,20)*
c(32,24,20)s(48,40,20)-s(40,8,12)s(40,48,20)+-
c(40,48,12)t(24,24,20)+c(40,40,20)c(16,40,12)+*
c(32,32,28)t(24,48,28)c(16,40,12)-c(48,40,12)+-
s(24,40,28)s(24,48,12)c(24,24,20)+-t(24,40,28)+
s(24,40,12)s(24,24,28)t(16,32,12)-s(16,16,12)-+
c(40,40,20)s(32,24,28)-c(40,16,12)c(32,32,20)++
s(24,32,28)s(16,24,20)*c(40,40,12)+s(40,32,20)*
s(40,16,20)s(32,32,20)-t(48,56,12)t(48,16,12)++
c(32,32,28)s(48,48,20)c(32,32,20)+c(32,32,28)*-
s(40,32,28)s(24,32,20)t(40,24,20)s(40,32,20)*+*
c(40,24,20)s(24,40,12)s(40,40,12)++s(40,40,28)-
s(32,32,28)s(48,16,12)t(40,48,12)+s(32,48,20)+*
s(16,48,20)c(32,32,20)t(16,32,12)s(40,8,12)++-
c(32,40,20)s(48,48,20)s(40,32,20)+c(40,48,12)-*
t(24,32,28)t(32,32,12)-c(40,32,20)s(24,24,12)--
c(24,32,12)s(40,48,20)+t(48,56,12)s(24,24,20)+-
s(40,32,28)t(40,40,12)s(32,8,12)s(32,24,20)++*
c(24,32,20)s(24,32,28)t(32,16,12)-t(24,24,12)-*
s(48,40,20)t(24,56,12)+c(32,32,12)-s(32,32,20)-
t(32,32,28)t(16,40,12)t(24,48,12)+-s(32,16,12)-
s(40,32,28)s(48,16,12)-c(40,24,20)s(16,24,20)--
s(32,40,20)c(32,40,20)c(40,24,20)s(48,8,12)-**
s(24,32,28)c(32,40,12)t(24,40,20)+c(40,40,20)*-
s(16,24,20)s(16,16,20)*s(16,40,20)s(24,40,20)+-
t(40,56,12)s(24,40,28)c(32,32,28)s(40,40,20)-*+
t(40,24,20)c(32,40,20)t(32,40,28)*c(48,32,12)-+
t(32,32,28)s(16,40,12)s(40,32,12)+-t(48,32,12)+
s(48,32,20)t(32,48,20)c(32,32,20)+s(48,48,12)-*
c(32,32,20)s(16,32,20)*c(40,40,20)+s(40,32,28)*
s(24,32,12)t(32,32,20)+s(48,48,12)c(40,24,20)+*
c(48,16,12)c(40,40,20)s(24,24,20)-+c(32,48,12)-
s(24,8,12)c(40,24,12)t(48,48,12)+c(40,32,20)*+
s(40,40,20)s(16,48,12)t(32,24,20)+s(32,24,20)*+
s(32,48,20)t(24,32,20)-s(16,40,20)+c(40,40,20)-
c(32,32,20)c(40,32,20)*c(48,24,12)s(48,48,20)+-
s(32,40,20)s(40,16,20)-s(24,32,28)s(32,32,28)*+
c(48,40,12)t(24,40,28)s(16,40,20)*+s(32,32,12)-
s(24,24,20)c(32,24,20)*c(24,32,20)t(24,40,12)-*
c(40,40,20)s(16,32,20)c(48,32,12)+s(40,32,28)**
c(32,40,20)s(40,48,20)s(8,32,12)++c(32,24,12)-
t(32,32,28)t(32,40,28)*t(24,48,28)c(40,24,12)+*
s(32,24,28)s(32,32,28)*t(32,48,20)t(24,16,12)+-
c(16,40,12)s(32,24,20)+s(32,32,28)c(40,40,12)-*
s(24,16,20)c(40,40,20)t(24,48,20)+c(40,24,20)*-
s(40,40,28)s(24,32,20)*s(16,16,20)s(24,16,12)--
t(32,24,20)c(16,24,12)s(40,8,12)++t(16,32,12)-
c(32,32,20)s(40,32,20)t(40,24,20)*c(24,24,20)++
s(32,40,20)c(24,24,20)-s(40,40,28)c(40,32,20)*+
t(32,32,28)s(48,24,20)-c(24,16,12)+s(32,32,28)*
s(32,24,20)c(24,40,20)s(16,32,20)*+s(32,24,28)*
t(40,40,12)s(40,24,12)+c(32,32,20)s(40,40,20)*+
c(32,32,12)s(24,16,20)+s(16,48,20)+s(24,32,28)-
s(32,32,20)c(32,32,28)s(32,48,20)*+s(40,16,20)-
c(24,40,20)c(32,48,12)-t(32,32,28)*c(32,40,12)+
s(24,40,20)t(32,40,12)-s(40,24,20)+s(16,40,20)*
s(40,40,28)c(32,32,20)c(24,24,12)-s(40,16,20)--
s(32,24,20)c(24,24,20)s(24,16,20)t(16,48,12)+*-
t(24,48,28)c(24,40,12)t(40,40,20)++t(24,40,28)*
s(40,24,20)s(40,32,20)+t(24,24,20)-s(48,24,12)-
s(40,48,20)s(16,48,20)c(32,32,28)*+t(32,32,20)-
s(32,32,28)t(16,56,12)s(48,32,20)s(32,32,28)*+*
c(48,24,12)s(32,48,12)c(16,32,12)+t(32,48,20)-+
t(32,40,28)s(40,32,28)s(24,40,28)s(32,24,28)*--
s(24,48,12)s(40,32,20)+t(40,32,20)s(24,24,12)+-
s(40,32,28)c(24,24,20)t(32,48,12)++c(24,32,20)-
s(16,40,20)s(32,40,12)-s(24,40,28)s(40,40,20)*+
s(32,24,28)s(32,40,20)s(48,32,12)-c(32,32,20)**
s(40,16,12)c(40,32,20)s(48,16,20)c(32,16,12)+-+
c(24,40,20)c(32,40,20)s(24,48,12)-s(48,32,12)-*
c(32,24,20)t(32,32,28)c(32,16,12)-s(8,40,12)+-
c(48,48,12)t(48,56,12)s(32,32,20)++c(32,24,20)*
s(32,16,20)s(48,24,20)c(40,32,12)--s(32,32,28)*
c(16,48,12)c(40,40,20)s(32,32,20)*+s(24,32,20)*
t(32,40,28)c(16,32,12)-s(40,32,28)*s(40,48,20)*
c(24,32,12)c(48,40,12)+s(40,32,28)t(24,24,12)-*
c(32,32,28)s(32,32,12)s(48,16,12)+-c(40,40,20)+
s(32,40,28)s(40,32,28)*t(24,32,20)s(48,48,20)--
c(40,40,20)c(24,48,12)-t(48,32,12)-c(24,24,12)-
t(24,40,20)t(32,48,12)s(16,32,20)+s(8,24,12)-*
s(16,16,20)s(24,16,20)*s(8,24,12)-s(40,32,20)-
s(24,32,28)s(16,24,12)-t(32,48,28)s(40,32,12)-*
t(32,16,12)s(32,48,20)s(16,48,20)s(40,40,28)--+
s(32,40,28)s(32,48,20)-s(24,40,28)*t(40,40,12)+
s(8,32,12)t(24,40,28)t(24,32,28)+t(32,48,20)*+
s(40,32,28)s(24,16,20)-c(24,32,20)s(24,40,28)+*
s(40,32,28)s(32,24,20)t(24,32,12)-s(24,24,28)**
s(40,16,20)s(40,48,20)t(32,48,20)*t(40,40,12)++
c(32,32,20)s(24,16,12)-c(24,32,20)t(16,24,12)-*
s(32,24,28)s(24,24,20)s(32,24,20)*c(32,40,20)+-
c(24,32,20)s(32,32,20)+t(24,40,28)*t(32,32,28)*
s(48,48,20)s(8,24,12)c(48,48,12)++s(40,8,12)+
c(48,48,12)s(16,40,20)+s(48,16,20)s(32,40,12)+-
s(24,32,28)s(32,32,28)*t(40,40,12)-t(24,48,28)*
s(32,48,12)t(32,32,28)t(24,48,12)+c(32,24,20)*+
s(48,32,20)c(24,32,20)t(24,16,12)-+s(32,24,28)+
t(32,32,28)c(32,32,28)s(16,40,20)t(16,24,12)-*-
c(40,40,12)t(32,24,20)s(40,32,28)s(32,32,28)**+
c(24,40,20)c(24,16,12)+t(16,48,12)-t(32,40,28)*
t(40,24,20)s(32,40,28)s(32,24,20)-c(40,32,20)-+
c(24,24,20)s(16,16,20)t(24,40,28)s(16,32,20)*--
s(40,48,12)t(32,24,20)+t(40,48,20)+t(40,32,12)-
s(48,24,20)s(40,40,12)-t(24,24,20)+t(32,32,28)*
s(40,24,20)c(48,48,12)+c(32,24,20)s(40,48,20)-*
s(40,32,20)t(24,40,28)+c(32,32,28)c(24,40,20)-*
s(40,24,12)s(16,40,12)+t(48,40,12)+c(40,24,20)*
c(24,40,20)s(48,24,20)t(32,48,28)+*c(32,32,20)*
c(48,40,12)s(40,16,12)+c(24,40,20)t(32,40,28)*+
s(40,32,20)s(32,16,20)t(32,40,28)+*t(32,32,20)*
s(32,48,20)s(40,40,28)*s(24,40,28)*t(24,40,20)+
s(16,32,20)s(24,40,28)c(32,32,28)*c(40,48,12)-*
t(32,40,28)t(40,48,20)*t(24,32,28)s(40,32,20)*+
c(40,32,20)s(32,24,12)-s(48,8,12)s(24,40,12)+-
s(40,24,28)c(40,32,20)*c(40,24,12)-t(32,16,12)+
t(24,48,28)s(48,48,20)-s(24,32,12)c(16,16,12)++
c(32,32,28)s(48,40,20)-s(40,8,12)-t(32,32,28)-
s(24,24,20)s(16,24,20)*s(48,24,12)c(32,40,12)++
c(24,32,20)t(32,16,12)s(40,32,20)+s(24,40,28)*-
s(32,32,28)t(16,32,12)-s(32,24,12)-s(24,32,28)*
c(32,24,20)c(24,32,20)s(24,48,20)*+s(24,40,28)*
t(32,40,28)c(32,24,20)+s(32,32,12)-c(32,32,20)-
t(24,24,20)t(32,32,12)-c(16,40,12)+c(16,48,12)-
t(32,40,28)s(32,8,12)s(48,48,20)+-t(24,48,28)*
s(24,16,12)c(24,24,20)s(32,24,12)s(40,48,20)+*+
s(24,24,12)c(32,32,20)s(32,48,20)*+c(24,32,20)*
s(48,24,20)s(24,16,20)s(48,32,20)s(32,40,28)*+*
s(24,32,28)s(32,40,28)s(16,48,12)t(32,40,20)+--
t(32,56,12)s(40,24,20)c(40,40,12)-+s(24,48,20)-
c(32,40,20)c(32,32,28)t(32,32,28)s(40,24,28)*-*
s(32,24,28)s(24,32,20)s(40,16,20)-s(32,32,28)*-
c(32,32,12)c(32,16,12)c(32,48,12)+t(24,24,20)-+
s(16,32,20)s(16,24,20)*s(40,48,20)c(16,24,12)+*
s(24,32,20)t(24,48,28)c(24,24,12)--s(40,24,12)-
s(16,48,20)t(40,48,12)t(24,48,12)s(16,48,12)++-
s(32,32,28)c(32,40,20)c(24,24,12)-*s(24,24,20)-
s(24,32,28)s(24,48,20)s(32,40,28)*t(32,32,20)--
s(16,16,20)s(24,32,20)+t(32,40,28)s(32,48,12)-*
c(48,48,12)s(24,32,28)+s(40,24,12)t(16,16,12)+*
c(48,24,12)s(32,40,20)s(40,48,20)*+s(24,24,28)-
s(40,32,28)c(32,48,12)-c(16,24,12)-s(48,48,12)+
s(32,32,28)s(40,24,20)s(40,40,20)*-t(24,48,20)-
s(16,24,20)s(40,24,12)s(32,40,28)c(40,32,20)-+-
c(16,32,12)c(24,40,12)+s(48,32,12)+t(32,32,28)-
c(32,24,12)s(40,32,28)c(48,16,12)t(24,32,12)+*+
t(24,24,20)c(40,24,20)+s(40,24,20)s(24,16,12)+-
t(24,32,28)s(48,24,20)c(32,32,28)*-c(40,32,20)+
c(48,40,12)s(40,40,28)s(24,40,20)t(32,40,28)+*+
s(24,24,12)s(16,32,20)c(32,24,12)-s(24,16,20)-+
c(40,40,20)s(40,24,20)*c(16,48,12)+s(32,40,12)-
s(48,32,12)c(32,16,12)t(40,40,12)++t(16,32,12)+
c(16,24,12)t(32,48,20)+s(32,40,20)s(48,48,12)-*
t(48,40,12)s(8,32,12)c(48,24,12)+t(32,24,20)-+
c(24,40,20)t(24,32,20)s(8,32,12)-*s(40,48,20)+
c(24,40,20)s(48,40,20)s(48,16,12)+s(40,32,20)*-
s(40,24,28)s(24,40,20)c(16,32,12)+-t(24,24,20)+
c(24,24,20)t(32,32,12)-s(40,24,28)*t(24,48,28)-
s(32,32,20)s(32,32,20)t(32,24,20)*c(40,40,20)+*
t(32,48,28)t(24,48,28)s(40,48,12)c(32,48,12)++*
s(48,24,20)s(32,40,20)s(40,32,20)c(48,48,12)-+-
t(32,48,20)t(40,24,20)+s(40,32,12)t(48,16,12)+-
s(8,16,12)s(16,32,20)+s(32,32,20)-s(24,40,20)+
s(24,40,28)s(40,40,20)-c(32,40,12)+t(32,48,28)-
c(48,40,12)s(16,24,20)+s(24,24,20)s(40,16,12)-*
s(32,48,20)c(32,40,20)s(24,48,20)+c(40,40,12)-*
s(48,16,20)s(16,24,12)+s(32,24,20)*t(24,24,12)+
t(40,24,20)t(24,40,28)t(32,40,20)*+s(40,32,20)*
t(16,56,12)s(40,24,12)s(8,48,12)++c(32,40,20)-
c(40,32,20)s(24,16,20)-c(40,32,20)t(40,40,12)-*
s(16,48,12)t(32,48,28)c(24,32,20)*+s(48,8,12)+
t(32,16,12)s(8,24,12)s(32,16,20)s(48,16,20)-++
t(24,32,28)t(48,48,12)+s(24,48,20)t(32,16,12)+*
s(40,32,20)t(24,40,20)s(16,32,20)c(40,32,12)++*
c(40,32,20)t(40,32,12)-s(32,32,28)t(24,24,20)*+
s(40,24,28)c(40,24,20)s(48,48,20)+s(32,32,28)-+
s(32,40,28)s(40,32,28)t(24,56,12)+*s(40,24,20)*
s(16,32,20)s(32,40,28)t(32,48,12)-t(32,48,28)*-
t(32,32,28)s(40,16,12)-s(16,40,20)-s(32,24,28)*
c(40,40,20)s(24,24,20)+s(48,40,20)*s(48,40,12)-
c(16,48,12)s(32,16,20)c(40,24,20)s(40,40,20)-++
c(40,24,20)s(16,8,12)s(32,24,12)c(32,40,12)+++
t(40,40,20)c(24,32,20)s(16,24,20)c(40,40,20)+*+
s(40,40,28)t(32,40,12)-t(40,48,12)-s(48,32,20)*
s(40,32,28)t(16,16,12)s(32,32,28)s(40,48,20)*+-
s(32,40,20)s(40,24,28)t(48,32,12)-s(16,8,12)+*
s(40,40,28)c(24,32,20)c(32,40,20)**s(48,24,20)-
s(8,24,12)s(48,48,20)s(32,48,20)*+s(48,24,20)-
s(24,40,20)c(40,32,20)s(24,24,28)-+s(24,24,28)*
t(32,48,28)s(32,32,28)s(24,32,20)c(32,48,12)-*-
c(24,24,20)s(24,8,12)c(48,48,12)+t(32,48,12)+-
s(24,24,28)c(16,40,12)s(40,8,12)+t(24,32,12)--
s(24,40,28)t(32,56,12)s(16,16,20)+-c(40,40,20)*
t(32,48,28)s(48,32,20)c(24,40,20)-+c(32,40,20)-
t(40,48,20)t(24,40,28)t(32,40,20)--t(32,32,20)+
s(32,24,28)s(40,32,20)t(40,40,20)*t(32,24,12)+-
s(40,16,12)s(48,40,20)s(32,40,20)*+s(32,24,28)*
s(40,16,12)s(24,32,20)+s(16,32,20)t(24,16,12)-*
s(24,40,20)s(24,48,20)t(32,56,12)t(40,32,20)+-*
s(48,48,20)t(32,48,28)t(16,40,12)++t(32,40,28)*
c(48,16,12)c(32,48,12)s(40,32,12)++s(40,32,28)*
c(40,32,20)s(32,40,20)+c(32,24,20)s(48,16,20)*-
c(40,24,20)s(32,16,12)-c(40,32,20)*c(48,48,12)+
t(32,48,20)s(24,40,28)t(24,32,20)-t(40,48,20)+*
s(40,48,20)s(16,24,12)c(40,40,20)s(32,48,20)*+*
t(16,16,12)s(40,8,12)s(24,40,28)t(32,24,20)-++
s(40,40,20)s(32,24,12)s(48,32,12)s(16,40,20)++*
s(16,40,20)s(32,40,28)s(32,48,12)t(16,24,12)+*-
s(24,16,20)s(48,24,20)+s(32,32,28)s(16,48,12)--
c(24,40,20)s(40,16,12)+s(24,40,20)s(16,48,20)*-
s(40,40,20)s(24,32,28)+s(32,24,28)*s(32,24,20)*
c(24,40,20)s(48,24,20)-t(32,40,28)t(24,32,28)**
s(32,32,20)t(24,48,28)s(48,48,20)+*c(16,48,12)+
s(16,16,12)c(40,40,20)s(48,24,12)-s(24,24,20)-+
c(32,40,20)t(24,40,20)c(40,32,20)+s(40,24,28)**
s(40,16,12)t(24,48,20)+s(32,16,12)+s(40,32,20)-
c(24,32,20)s(48,40,12)+c(40,40,20)c(40,24,20)-+
t(24,32,28)c(40,48,12)-s(16,24,20)c(24,24,12)--
c(48,16,12)s(32,32,28)t(40,48,20)+t(32,40,28)-+
t(16,32,12)s(40,24,20)c(24,32,20)s(16,16,20)--+
t(24,48,20)c(16,16,12)t(32,32,28)++c(16,48,12)-
s(32,24,28)c(32,32,20)s(24,40,28)*-t(48,24,12)-
t(32,40,28)c(24,24,12)-t(40,24,20)-s(16,24,12)+
c(32,32,28)c(48,32,12)-s(32,48,20)s(40,32,12)-*
s(40,24,20)s(40,32,20)s(32,40,20)*-s(24,48,20)+
c(24,48,12)t(40,24,12)+s(24,40,12)-t(16,56,12)+
c(24,24,20)t(24,32,20)-s(24,40,20)s(32,40,20)*+
c(40,40,20)c(32,24,20)s(40,24,20)t(40,32,20)+*+
t(24,40,28)s(48,48,12)t(24,48,12)++c(24,24,20)*
c(24,16,12)t(48,56,12)t(32,40,28)c(16,40,12)-++
t(32,24,12)s(16,40,20)+s(40,48,20)s(24,40,28)*+
s(48,16,20)c(24,32,20)s(40,48,20)-s(24,40,20)--
s(16,32,12)s(40,16,20)+s(48,16,12)s(32,24,20)+*
s(40,48,20)s(40,32,12)s(8,16,12)c(32,40,12)++-
c(32,24,20)s(16,8,12)s(40,32,20)+*c(24,24,12)-
s(32,32,28)c(32,40,12)-t(32,48,28)t(48,56,12)--
s(40,40,28)c(40,40,12)t(24,32,20)s(16,16,12)-+-
t(32,48,28)t(24,40,28)*s(24,32,28)c(40,24,12)-+
s(40,24,28)s(40,24,20)c(40,40,20)t(32,48,28)*--
s(40,40,28)s(24,40,20)t(48,16,12)+c(32,24,12)--
c(16,16,12)s(24,40,28)s(16,8,12)t(24,48,20)+*+
t(24,40,28)s(40,40,28)+c(48,24,12)-s(16,40,12)-
s(40,48,20)s(24,48,12)+t(24,48,28)t(24,32,28)*-
t(24,40,28)c(32,16,12)+s(48,8,12)+s(40,40,28)-
s(24,24,28)c(40,24,12)s(24,8,12)t(40,56,12)++*
c(40,24,20)s(40,16,20)c(40,32,20)t(40,24,12)--*
s(32,8,12)c(24,40,20)+s(24,24,28)s(40,24,20)*-
c(32,32,28)c(40,32,12)-s(32,24,20)s(48,16,20)+*
t(32,48,28)c(24,24,20)s(40,48,20)--c(24,24,20)-
s(32,40,28)c(16,40,12)-c(40,32,12)-s(16,48,20)-
c(16,48,12)t(32,32,28)+t(32,40,12)-c(32,40,20)*
s(40,16,20)t(24,40,12)s(16,16,20)t(24,56,12)+++
t(32,48,28)s(40,24,28)s(24,40,28)c(32,48,12)-+-
c(48,48,12)s(40,16,20)+s(32,32,28)c(32,48,12)-*
s(32,40,20)c(48,48,12)+s(48,32,20)s(32,16,12)+*
c(24,40,20)t(24,32,12)-s(32,24,20)-t(40,40,12)-
s(40,40,28)c(24,48,12)t(40,24,20)+*s(32,40,20)*
s(40,40,12)s(8,40,12)+t(32,32,12)-t(48,56,12)+
t(32,48,28)c(16,16,12)s(24,40,20)c(40,40,12)++-
c(40,24,20)t(24,32,28)*s(16,16,20)s(8,32,12)-+
s(48,40,20)s(40,16,12)s(48,40,12)t(40,24,12)++*
s(32,32,20)c(40,48,12)+s(24,24,20)t(24,32,20)--
s(40,32,28)s(24,40,12)-s(40,40,20)*s(40,48,20)*
c(24,32,20)s(32,16,20)-s(24,48,20)t(40,48,20)--
s(24,24,20)c(32,40,12)+s(40,48,12)-c(24,16,12)-
s(48,40,20)c(40,32,12)-c(40,32,20)t(32,40,28)*-
c(40,24,20)c(32,32,20)s(32,48,12)s(24,40,12)+-*
t(24,32,28)s(48,48,12)+c(40,24,20)-t(24,32,28)+
t(32,32,28)t(48,24,12)s(24,48,20)t(24,16,12)++-
c(32,40,20)c(40,32,20)*s(40,40,20)t(32,48,28)**
t(32,32,28)c(24,32,20)+s(40,48,20)+c(40,24,12)-
t(40,32,12)s(16,48,20)t(24,48,28)*+t(40,32,12)-
s(24,16,20)c(40,32,20)t(40,40,12)-t(32,40,28)-+
t(24,32,28)s(40,48,12)s(40,32,12)+t(24,40,20)--
s(24,24,28)s(16,32,20)*t(40,32,12)c(32,24,12)+-
s(24,40,28)s(16,24,20)*s(40,40,12)c(16,16,12)++
s(24,40,28)s(24,48,12)-t(24,40,20)s(32,40,20)*-
t(32,48,28)s(24,8,12)s(24,40,20)t(48,32,12)++-
s(24,32,28)s(24,24,28)+c(32,24,12)-t(40,40,12)-
t(32,48,20)s(24,40,20)s(24,48,20)*+s(16,40,12)-
s(16,32,20)s(24,32,28)t(16,16,12)-s(16,24,20)**
t(24,48,28)t(32,40,28)*t(40,24,12)s(8,48,12)+-
t(32,32,12)s(32,40,20)c(32,24,12)-+s(32,48,20)*
s(16,32,20)c(32,16,12)c(40,48,12)+-s(24,32,28)*
s(24,32,12)c(40,32,12)+c(24,24,20)+s(32,32,12)-
s(32,24,20)c(24,24,12)s(16,8,12)+-s(24,40,12)+
t(32,24,20)s(40,24,20)*c(48,32,12)+s(48,16,20)-
c(32,48,12)c(48,24,12)+t(40,48,12)-c(40,24,12)-
s(32,40,28)c(40,32,20)t(24,32,20)--t(24,40,20)+
t(24,16,12)t(32,40,20)+t(24,56,12)+t(40,48,12)-
t(40,24,12)t(32,32,28)s(40,40,28)c(48,32,12)--+
s(48,16,20)c(24,40,20)s(24,16,20)+-t(32,24,12)+
t(24,32,28)s(32,48,20)c(32,32,28)*s(32,16,20)+*
s(48,32,20)s(32,8,12)c(16,40,12)++t(32,32,28)*
t(24,40,28)t(32,24,20)c(32,16,12)+t(32,16,12)--
s(40,40,28)s(48,48,20)s(48,24,20)c(40,16,12)--*
s(40,40,20)s(48,48,12)-s(40,8,12)+s(32,48,20)-
s(40,24,20)s(40,32,20)s(40,32,12)-c(32,48,12)--
s(24,24,20)c(32,24,20)t(16,32,12)-s(24,16,20)**
s(32,40,20)s(24,32,20)s(32,16,20)s(24,8,12)-+*
s(32,40,28)c(24,40,20)*t(16,24,12)t(32,48,12)+-
c(32,24,20)s(32,32,20)*s(24,40,12)-s(40,40,28)*
s(24,24,28)s(16,32,20)s(40,24,28)+s(40,32,12)-*
s(16,16,20)c(32,32,28)+s(48,32,20)*s(16,48,20)+
s(8,40,12)t(32,48,28)s(40,32,20)++s(48,48,20)-
t(32,40,28)t(32,48,28)*t(32,24,12)-t(32,56,12)-
s(24,40,28)t(16,48,12)-s(40,40,28)t(32,40,28)*-
t(32,32,12)t(32,32,28)s(32,40,12)-+s(8,8,12)+
s(16,48,20)t(32,48,28)*s(16,24,20)c(24,16,12)++
c(32,16,12)s(48,48,20)s(32,40,28)s(48,32,12)--+
s(24,40,28)s(16,48,20)-s(40,32,20)*s(16,32,20)+
s(8,24,12)t(32,48,20)+s(8,24,12)s(48,40,12)+-
s(40,48,20)s(32,32,12)-s(24,16,12)+s(48,48,20)-
s(16,48,12)t(24,24,12)c(16,40,12)++s(40,24,20)-
t(24,48,12)s(24,32,20)+c(32,40,12)-s(24,16,12)-
t(48,48,12)t(24,40,28)t(32,40,12)-+s(32,40,28)*
s(48,40,12)t(24,24,20)+c(40,32,20)s(40,16,20)+*
s(48,32,12)t(24,56,12)+s(16,32,20)+c(40,40,12)-
c(48,24,12)s(24,24,28)s(24,40,20)++s(32,16,20)*
s(32,24,28)s(40,40,20)-s(32,24,20)c(16,32,12)+*
s(40,24,28)s(40,40,20)s(24,48,12)+s(48,24,12)+*
c(32,24,20)s(24,32,28)t(40,32,20)-s(16,24,20)*-
t(24,32,20)t(32,40,20)+s(24,16,12)+s(32,32,28)*
c(32,32,28)s(40,24,12)-s(24,24,12)c(40,16,12)+*
s(24,32,28)s(24,24,28)+s(40,16,20)*s(24,24,12)+
s(16,32,20)s(24,24,28)+c(40,40,20)c(48,48,12)-*
c(40,40,12)s(8,32,12)+c(32,48,12)s(48,48,12)+-
c(32,40,20)t(40,40,12)-s(24,24,28)-c(48,48,12)+
c(32,32,28)t(24,48,28)s(32,32,20)+c(40,16,12)-*
s(48,40,20)s(32,32,20)s(32,40,20)c(24,24,12)-*-
s(40,40,28)t(32,32,28)c(32,24,20)*-s(24,48,20)-
s(40,24,28)c(24,32,20)s(32,32,20)t(40,40,12)---
t(32,32,20)t(24,32,28)*c(24,24,20)t(32,32,28)**
c(24,24,12)c(40,24,20)+c(24,24,12)t(48,16,12)+-
s(24,24,28)c(40,24,20)*c(40,40,20)s(40,48,20)--
s(48,32,20)s(48,24,20)*c(48,40,12)-s(32,48,12)+
s(40,16,20)s(32,24,28)c(24,40,12)-s(32,48,12)+*
c(32,48,12)s(16,48,20)s(32,48,20)*+s(40,32,20)-
s(32,40,20)s(16,48,12)t(16,32,12)+-s(24,32,28)*
t(24,40,28)c(24,40,20)*s(40,48,20)-s(40,24,20)-
s(40,24,28)c(16,24,12)s(40,24,12)s(48,32,12)++*
t(32,32,20)s(32,16,20)t(32,24,12)-s(32,8,12)-+
s(24,24,28)s(24,16,20)t(32,32,28)--s(16,24,20)*
c(40,24,20)s(48,16,20)c(24,24,20)c(24,32,20)*--
c(24,40,20)c(40,16,12)+t(32,40,28)-t(24,48,20)-
t(24,48,20)c(16,32,12)t(40,48,20)++s(24,16,20)-
s(24,40,28)s(24,32,28)t(32,32,28)s(40,24,12)---
s(48,40,12)s(32,8,12)t(32,40,28)+c(40,24,12)-+
s(24,48,20)s(24,32,28)s(16,48,20)*+s(32,40,20)*
t(32,24,20)s(40,40,28)t(48,56,12)s(24,48,20)+*+
t(24,40,28)s(32,48,20)t(32,40,20)-s(40,40,20)+-
s(8,32,12)c(32,24,20)+s(32,32,28)*t(32,40,20)-
s(32,24,28)s(16,48,12)t(24,16,12)s(32,48,20)++*
c(40,24,20)s(40,16,20)*c(40,40,20)s(24,40,28)*+
s(24,40,20)s(40,40,20)c(32,32,20)c(40,24,12)-*+
s(32,32,28)c(48,40,12)-c(32,40,20)s(32,24,12)-*
c(32,32,20)s(32,16,20)*s(16,48,20)+s(32,32,20)*
s(32,32,20)s(32,24,28)s(16,16,20)-*s(40,40,20)+
t(24,48,12)t(24,32,28)s(24,32,20)s(40,48,20)-*+
s(32,24,20)t(32,40,12)c(32,40,20)c(24,24,20)*+-
t(32,48,28)s(32,32,20)-s(16,48,12)+t(32,48,12)-
s(24,48,20)c(24,24,20)-c(32,40,12)+c(24,40,20)*
s(32,48,12)t(24,24,20)+t(40,40,20)-c(24,32,20)+
t(32,40,28)t(32,48,28)*t(40,24,12)+s(32,24,28)*
t(24,40,28)s(32,16,20)s(48,32,20)+s(8,40,12)+*
s(32,16,12)t(16,16,12)+s(32,8,12)+s(40,24,28)+
c(32,24,20)t(24,24,20)t(32,40,20)+s(48,32,12)+*
s(32,40,28)s(24,32,28)s(16,16,12)-*s(48,40,20)-
s(48,16,20)s(32,24,20)s(32,40,28)*s(16,16,12)+-
t(32,40,28)s(32,32,28)c(24,16,12)-t(16,32,12)-*
t(24,48,28)s(32,24,20)t(32,48,28)t(32,48,20)---
t(32,40,28)c(24,24,12)s(48,48,12)+*t(48,40,12)+
s(16,40,20)c(40,32,20)+c(40,40,20)-s(32,24,12)-
s(48,40,20)s(40,8,12)+t(32,24,20)-c(48,48,12)-
c(40,24,20)s(24,16,12)t(24,40,20)++c(24,24,20)*
t(48,40,12)c(32,16,12)+t(32,56,12)c(40,32,12)++
s(16,8,12)c(40,24,12)t(16,24,12)t(24,48,12)+++
t(24,24,20)s(40,16,12)s(24,40,28)s(32,24,20)*++
s(40,40,28)c(48,32,12)s(32,40,28)s(32,24,20)-+*
s(48,48,20)s(40,40,20)t(32,40,20)s(48,24,20)-+*
c(40,24,20)t(40,32,20)-t(24,32,20)s(48,24,20)+*
c(24,40,20)t(24,32,28)+c(32,48,12)c(48,32,12)+*
s(40,32,28)t(32,40,28)s(16,24,20)c(16,24,12)---
t(32,32,12)s(16,24,12)+c(40,24,20)t(32,32,20)-+
s(40,32,20)s(32,40,20)c(40,40,20)t(32,32,12)-+*
s(16,8,12)s(32,16,20)s(48,32,20)c(32,24,12)+*+
c(40,32,20)c(24,24,20)-c(24,40,20)s(40,40,28)-+
c(48,32,12)t(48,56,12)+t(24,48,28)c(40,40,20)+*
s(24,40,20)s(16,24,12)+c(32,48,12)-t(24,40,12)-
t(24,48,12)t(32,24,12)+c(16,24,12)+t(32,32,28)-
t(24,48,12)s(40,24,20)+s(48,40,20)-t(40,24,20)-
s(40,24,28)s(32,24,20)c(16,16,12)+-s(32,40,20)-
t(24,40,28)s(40,24,12)c(40,40,12)+s(32,40,28)*+
t(24,40,20)c(32,32,28)s(8,24,12)s(32,24,28)+*+
c(24,40,20)s(40,40,28)t(48,40,12)-t(48,32,12)-*
t(16,24,12)t(32,56,12)+c(24,40,20)+t(32,32,20)-
c(32,40,20)s(16,32,20)-s(32,40,28)t(24,32,20)-+
t(24,48,12)t(40,40,20)+c(40,40,20)*s(48,40,20)*
s(32,40,28)s(16,40,20)s(40,32,28)s(16,40,12)+**
s(32,32,20)t(24,48,20)t(32,24,20)+t(32,32,28)**
s(40,48,20)c(40,32,20)s(40,16,20)-s(32,24,20)--
s(40,40,20)c(24,16,12)+s(24,32,28)+s(16,48,20)*
s(24,40,28)c(40,48,12)s(8,48,12)+s(48,16,12)+-
t(24,48,28)t(40,48,12)-s(32,40,20)*s(48,16,20)+
s(32,40,20)c(40,24,20)*c(24,32,12)t(24,48,28)++
s(24,32,28)s(32,40,12)-s(16,16,12)c(32,24,12)+-
c(24,24,20)c(24,40,20)*s(16,40,20)t(40,32,20)+*
s(32,24,28)s(24,16,20)s(48,32,20)t(32,24,12)+-*
s(48,40,12)s(32,40,20)t(16,40,12)++t(24,32,20)*
s(24,40,28)s(32,24,20)t(24,40,28)t(24,48,20)*+-
s(32,24,28)s(48,24,20)s(48,48,20)-c(40,48,12)+*
t(24,48,20)s(48,24,20)+c(32,32,28)c(48,16,12)-+
t(24,48,20)s(40,24,28)s(48,32,20)t(40,32,20)*--
s(16,48,20)t(24,24,20)+t(40,32,20)t(32,24,12)+-
s(40,32,20)t(40,16,12)c(32,40,20)++c(40,40,20)*
t(32,56,12)s(24,24,28)+c(32,24,20)*s(24,32,20)+
t(40,24,20)t(24,40,20)t(48,40,12)+-s(24,40,12)+
t(24,16,12)s(40,40,28)+s(40,48,20)-c(24,24,20)+
s(40,24,28)c(32,24,20)s(24,32,28)c(40,24,20)*-*
c(48,32,12)s(40,48,20)s(24,40,28)t(32,48,28)**+
c(16,40,12)c(40,32,20)t(32,32,28)t(24,24,12)--+
s(32,32,12)c(24,40,20)s(40,32,28)s(32,24,12)--+
t(40,32,20)t(32,48,12)+c(24,24,12)t(16,32,12)++
c(40,16,12)c(40,24,20)s(40,32,28)c(32,48,12)-*+
s(24,40,28)t(16,48,12)s(24,24,12)+-s(24,48,20)*
t(32,40,20)s(32,40,28)s(32,48,20)-s(32,24,28)*-
c(24,32,20)c(32,24,20)t(48,32,12)c(32,40,12)+-+
c(32,40,20)t(40,32,12)-s(40,48,12)-s(32,32,28)*
t(16,16,12)s(32,40,12)+s(40,48,20)s(32,40,12)-+
s(40,40,28)s(24,32,28)*s(48,40,20)s(16,48,20)+*
s(32,24,28)s(16,32,20)-c(40,24,20)*c(32,24,20)*
s(24,40,20)s(32,32,28)s(24,40,28)s(16,32,20)***
s(32,40,20)c(32,32,28)t(24,48,20)s(24,40,20)*-*
t(48,48,12)t(32,32,20)s(32,24,20)t(16,16,12)+++
c(24,32,20)c(40,40,12)c(32,24,12)+t(32,56,12)+*
s(40,48,20)t(24,56,12)c(24,24,12)+s(48,24,12)+-
s(32,48,20)s(24,40,20)*s(16,16,20)+s(16,40,20)*
s(32,24,20)s(24,16,20)*c(32,24,12)+t(24,32,28)*
c(24,16,12)t(40,40,20)+t(48,40,12)-s(24,40,20)-
c(32,40,20)t(40,32,12)-s(48,24,20)s(24,32,20)-+
c(40,24,20)t(24,32,20)+c(32,24,12)-t(40,24,20)-
s(40,40,20)s(40,24,28)t(32,56,12)c(24,32,20)+*+
s(32,40,20)c(48,32,12)+s(24,32,12)c(40,24,20)+-
s(48,32,20)c(48,48,12)-s(40,40,20)+s(48,40,20)-
c(24,48,12)s(32,32,20)t(32,40,28)*+c(24,32,12)-
t(32,48,20)s(32,24,28)+c(24,24,20)*s(48,40,20)-
c(40,40,20)t(48,48,12)-s(16,40,20)+c(32,24,20)*
s(24,32,28)s(48,40,12)c(24,48,12)+t(32,32,20)--
t(40,56,12)s(48,40,12)s(32,24,28)c(24,40,20)*++
c(40,40,20)s(32,40,28)c(24,40,20)*c(32,24,20)+*
t(16,56,12)s(40,32,20)s(48,24,12)-+s(24,16,12)+
s(24,40,20)s(24,24,20)s(16,24,12)t(24,40,20)+--
t(48,56,12)t(24,48,20)t(16,40,12)s(48,40,20)+-+
c(24,24,20)t(32,32,20)c(40,48,12)-s(24,40,12)+-
s(40,40,28)c(24,32,12)-s(24,40,28)c(32,32,28)*-
s(48,24,20)t(32,32,28)s(40,32,20)s(24,32,28)*-+
s(40,16,20)s(40,48,20)+t(40,24,12)-c(24,48,12)-
s(24,32,20)c(40,32,12)-s(24,24,28)*s(40,32,20)-
t(24,48,28)t(24,24,20)-c(40,32,12)t(32,40,12)+-
s(8,32,12)t(24,16,12)t(32,32,28)+c(48,32,12)-+
s(16,24,20)t(48,32,12)+c(24,32,12)-s(32,24,20)+
s(24,24,20)t(32,32,28)*s(16,40,20)+s(32,24,28)-
s(16,32,20)s(40,32,28)t(32,48,20)s(40,24,20)+++
t(16,32,12)c(32,24,12)+s(24,32,20)c(32,32,20)**
c(40,32,20)s(40,24,28)s(40,24,12)s(16,24,20)+-*
s(40,40,28)s(40,32,28)s(32,24,28)-s(32,24,12)+-
c(32,24,20)s(24,32,12)-t(24,48,20)c(24,24,20)++
t(24,48,28)s(24,24,20)+t(16,56,12)-t(24,48,28)-
c(24,32,20)c(24,24,20)s(24,40,12)-*s(32,32,20)*
c(32,32,28)t(24,24,20)-s(40,32,20)*c(40,24,20)+
t(40,24,20)t(32,16,12)+s(32,24,12)-s(24,24,12)+
s(16,32,12)s(16,8,12)+c(24,24,20)*t(24,48,20)-
s(24,40,28)t(24,40,20)s(24,48,20)*-s(24,16,20)-
s(32,32,28)s(24,24,20)-c(16,48,12)+s(32,40,20)*
s(32,32,20)t(16,40,12)-c(32,24,20)*c(40,16,12)-
s(24,40,28)s(32,40,20)s(16,48,12)-*s(40,32,20)*
t(40,24,12)s(24,40,28)s(40,48,20)*+s(48,24,20)-
t(32,40,28)s(40,16,12)+s(32,32,28)+c(40,40,20)*
s(40,24,28)t(32,40,28)s(24,40,28)*+t(48,24,12)-
s(24,32,28)s(48,32,20)s(40,40,20)*+t(32,40,12)-
s(32,32,20)s(32,48,20)s(24,24,12)+*s(32,16,12)+
c(32,32,20)s(40,32,12)s(24,24,12)+-c(32,40,20)*
t(32,32,28)c(40,24,20)s(24,24,28)t(24,56,12)+**
s(40,8,12)s(40,40,20)+s(48,40,20)s(40,32,28)**
s(32,40,12)s(24,24,20)s(40,24,28)s(32,24,28)**+
c(24,40,20)c(16,32,12)-c(24,32,20)*s(24,40,20)*
t(24,32,28)s(40,32,12)+s(24,16,12)-t(32,40,28)*
t(24,32,20)c(40,24,20)c(32,24,20)s(40,40,20)-*+
s(24,48,20)s(48,40,20)+s(32,40,12)-c(48,32,12)-
s(40,40,20)s(48,40,12)-c(40,24,20)+c(24,32,20)+
s(32,48,20)c(32,48,12)-s(8,48,12)+s(32,40,12)-
s(32,40,28)s(24,24,12)-c(24,40,20)t(48,24,12)+*
s(40,40,20)s(40,32,20)s(48,40,12)-s(40,48,20)-+
s(24,40,28)s(32,40,20)c(40,40,12)--c(32,32,28)*
t(48,32,12)s(40,16,20)s(32,32,20)+t(32,32,28)*+
s(24,40,20)t(32,48,28)*s(16,24,12)+s(32,32,28)*
t(32,40,20)s(48,32,12)+s(24,32,28)*c(40,48,12)-
c(32,48,12)s(24,48,12)c(40,24,12)+t(48,16,12)-+
s(48,24,20)t(32,40,20)-s(8,40,12)+c(48,24,12)-
s(32,32,28)c(24,16,12)t(40,56,12)+c(40,40,20)--
s(40,32,28)c(32,32,28)t(32,40,20)s(16,16,12)+-*
s(32,40,20)t(40,40,12)-s(40,24,12)c(16,24,12)++
s(40,24,20)s(16,40,20)+s(48,24,12)-c(40,16,12)-
s(24,40,12)t(32,40,20)+s(32,48,20)*t(48,48,12)+
c(32,32,28)c(24,24,20)s(8,8,12)+s(16,40,12)-*
s(24,24,20)c(32,24,20)t(24,40,28)s(24,16,12)++*
c(24,32,20)c(40,32,20)s(32,32,20)t(16,32,12)-*-
t(32,40,20)s(16,32,20)c(16,48,12)++s(40,32,12)-
s(32,16,20)s(16,24,20)s(16,32,20)++s(24,32,20)*
s(16,16,12)s(40,32,28)+c(16,24,12)-s(16,40,20)+
t(24,32,12)c(32,32,28)c(32,24,20)-s(24,40,28)*+
t(16,48,12)s(40,40,20)t(32,40,20)*c(40,24,12)++
c(32,40,12)s(48,32,20)+s(32,40,28)+t(48,32,12)-
s(32,32,20)c(32,40,20)t(24,40,28)*s(24,40,12)-+
s(24,40,20)s(16,24,20)s(24,32,28)c(32,24,20)**+
s(48,32,20)s(32,40,20)t(48,16,12)t(24,48,20)+--
s(32,32,28)s(40,48,20)*s(40,32,28)s(24,40,28)-+
t(24,24,20)c(32,32,20)s(24,24,20)*s(16,32,12)+*
c(40,32,20)s(32,40,20)c(32,24,20)t(48,16,12)-**
s(32,32,20)c(40,32,20)c(24,32,12)+s(40,16,20)*-
t(24,32,28)s(32,32,28)t(24,32,20)--s(8,40,12)+
c(32,32,28)s(24,32,12)-s(24,40,20)c(32,24,20)--
t(24,48,28)c(32,32,20)s(24,24,28)t(32,48,20)+**
s(16,32,20)c(24,32,20)s(40,16,12)+s(24,32,12)-*
c(40,24,20)c(16,24,12)c(48,24,12)+s(24,40,28)*-
c(48,16,12)t(48,48,12)+t(40,40,20)+s(32,32,20)*
t(40,40,20)s(24,48,20)+s(48,8,12)s(24,24,12)++
c(32,16,12)c(40,32,20)s(32,24,20)*+t(48,24,12)-
t(40,48,20)t(40,32,20)+s(32,24,20)-s(16,48,20)-
s(16,40,20)s(24,32,20)+c(32,32,28)c(32,40,12)--
t(48,24,12)s(32,24,20)t(24,24,20)*+t(32,40,20)-
c(24,40,12)s(48,48,20)+s(40,32,28)t(16,16,12)+*
s(48,16,12)s(24,40,20)t(16,24,12)-+c(40,40,20)*
c(24,40,20)s(24,40,12)s(40,40,20)s(32,40,12)-++
s(48,24,20)s(32,24,12)-s(24,16,20)s(16,16,20)*+
c(48,16,12)t(40,32,20)+t(24,48,28)c(40,40,20)*-
s(32,40,28)c(48,16,12)s(24,48,20)+t(24,40,28)+*
t(24,48,28)t(24,32,28)c(24,40,20)*-s(16,48,20)*
s(40,40,28)s(16,48,12)+c(24,32,20)*c(24,24,20)+
c(24,40,20)s(48,16,20)c(32,40,12)s(48,8,12)++-
c(48,24,12)t(16,40,12)+t(48,32,12)+s(8,48,12)+
c(40,32,20)s(40,24,28)+s(40,24,20)s(32,8,12)+-
c(32,32,20)s(24,32,28)+s(16,24,20)-s(40,48,20)-
t(32,32,28)s(16,48,20)t(24,40,28)s(48,16,20)+*-
s(40,24,20)s(24,8,12)s(48,16,12)+s(40,16,20)*-
t(40,48,20)c(40,16,12)s(32,24,28)s(16,16,20)*++
c(32,32,28)c(40,32,20)s(24,48,20)+c(32,24,20)-*
t(16,16,12)c(24,40,20)c(24,40,12)-+s(32,48,20)-
t(24,32,20)c(40,16,12)+t(32,24,20)*s(24,48,20)+
c(48,48,12)s(48,32,12)+t(24,40,20)s(40,24,20)+-
s(16,24,20)s(16,8,12)s(24,32,28)+c(16,40,12)-*
t(24,32,28)t(32,40,12)-t(32,48,20)+s(32,32,20)*
s(16,32,12)s(48,48,20)+c(24,24,20)+s(24,32,28)*
t(32,48,20)s(40,24,28)s(24,48,20)-s(48,40,20)*+
s(32,32,28)c(16,48,12)+s(40,32,20)s(40,48,20)*-
s(48,32,20)c(32,32,12)+t(24,24,12)t(48,32,12)++
s(48,16,12)t(32,48,28)s(40,40,28)*s(16,24,20)-+
s(40,24,20)s(24,24,28)t(24,32,12)-+s(16,16,20)+
t(24,48,28)s(40,24,12)t(24,48,20)+t(32,24,20)-*
s(40,32,20)t(32,32,28)t(16,48,12)+*t(40,24,20)+
t(32,24,12)s(24,24,20)s(32,16,12)-t(24,32,12)-+
c(24,24,20)s(32,16,12)c(40,24,12)+s(24,32,28)*-
t(24,40,12)s(48,32,12)s(40,48,20)+t(40,56,12)-+
t(24,24,20)t(48,56,12)+t(32,48,28)+s(48,48,20)*
s(40,24,20)s(8,16,12)t(24,32,28)+-s(24,32,12)+
s(24,16,20)s(8,24,12)c(40,40,12)+t(24,48,28)--
s(24,32,28)s(32,40,28)s(16,32,20)t(24,32,28)+++
s(24,24,20)s(48,48,20)t(40,48,20)++s(32,32,28)+
t(40,48,12)t(32,56,12)s(24,24,28)+s(24,32,20)-+
s(24,40,28)s(32,24,12)s(8,32,12)+c(32,24,20)+*
s(16,48,20)c(32,40,12)t(40,56,12)t(40,24,20)++-
s(32,32,28)s(24,48,20)-s(32,40,28)s(32,24,20)**
t(24,48,28)s(32,48,20)*s(16,16,20)c(40,24,20)-+
s(48,32,12)s(24,32,28)s(24,16,20)+s(32,40,20)*+
c(32,40,20)c(24,32,20)s(16,48,20)s(32,40,28)*-*
t(32,32,20)c(48,16,12)c(24,24,20)+c(32,48,12)+*
s(24,24,20)s(32,24,20)s(32,16,20)*t(24,40,12)+*
s(32,40,28)c(24,32,20)t(24,32,12)-s(40,32,28)+*
s(24,24,12)c(32,32,20)t(24,40,28)*c(16,16,12)-+
c(32,40,12)c(32,40,20)s(32,24,20)*+t(40,24,20)-
t(16,40,12)t(32,40,20)s(32,48,20)t(32,32,28)--+
t(40,48,20)t(48,16,12)s(16,24,20)+s(24,40,28)*+
c(16,24,12)s(40,48,20)s(32,40,28)*+s(8,8,12)+
c(48,16,12)s(24,40,20)s(40,32,28)t(32,32,12)--+
c(16,40,12)s(40,24,28)s(32,24,28)*+c(16,32,12)-
c(32,32,28)s(40,48,20)-t(48,48,12)+s(24,24,28)*
s(32,24,28)s(32,40,28)*t(24,56,12)t(32,48,20)++
s(40,16,20)t(24,32,28)+t(40,32,20)t(48,32,12)--
s(16,32,20)t(24,48,28)-c(32,24,12)+s(32,40,28)*
t(40,40,12)s(24,32,20)c(40,24,20)-+s(32,40,12)+
s(16,48,20)s(24,32,28)+s(16,40,12)-c(40,24,20)*
t(48,48,12)c(32,16,12)+s(8,8,12)s(32,16,20)+*
s(40,32,28)s(8,24,12)+c(32,24,20)s(40,32,28)*-
t(32,32,28)c(24,32,20)c(40,40,20)c(32,40,20)*--
s(32,8,12)s(48,24,12)+c(16,48,12)s(48,16,20)+*
c(40,16,12)c(40,40,20)s(40,24,28)*s(32,32,12)-+
s(48,32,12)c(32,32,12)+t(48,40,12)+t(24,40,12)+
s(32,40,20)t(32,40,28)t(24,32,12)-t(32,40,20)*-
c(24,16,12)t(48,48,12)+c(40,16,12)-t(16,24,12)-
s(24,48,20)c(24,40,20)+c(24,48,12)t(32,32,20)+*
s(24,24,28)t(48,32,12)t(16,40,12)+-s(24,32,12)-
s(8,48,12)c(32,24,12)s(32,24,12)t(24,56,12)+++
s(24,24,20)c(48,48,12)+s(48,48,20)-t(32,48,28)-
c(32,32,28)t(24,32,20)c(40,48,12)+c(32,48,12)--
s(40,32,28)s(32,16,20)s(16,24,20)+c(32,16,12)-+
t(48,40,12)s(40,40,28)s(32,24,28)*c(32,24,20)*+
t(24,40,28)s(16,8,12)c(48,24,12)c(32,32,20)++*
t(16,16,12)s(16,40,20)+t(32,32,12)+s(32,32,20)*
s(40,24,28)c(32,32,20)c(48,40,12)+*s(32,40,20)*
t(24,24,20)c(32,24,12)+t(32,48,28)-t(16,48,12)+
c(32,24,20)s(24,24,28)*s(16,48,12)s(16,16,20)+-
s(8,8,12)s(8,40,12)t(24,16,12)++c(32,24,12)-
s(32,32,20)s(32,32,20)c(32,32,20)s(32,16,20)**-
s(40,40,20)s(48,32,20)c(32,48,12)s(40,24,20)+*+
s(24,32,20)c(32,40,20)t(40,32,12)-*s(32,16,12)-
s(16,24,20)s(48,48,12)c(16,16,12)+s(32,40,20)--
t(16,56,12)s(48,24,20)+s(48,32,20)*t(32,32,20)-
s(48,48,20)s(24,32,20)s(32,32,20)+-s(32,48,20)-
s(32,24,12)s(24,40,28)t(24,32,12)-+s(48,24,20)-
c(24,24,12)t(40,48,20)+t(40,24,20)t(24,24,12)+-
t(32,32,28)s(40,32,28)c(40,48,12)s(32,40,12)+--
s(40,40,28)s(24,40,28)t(40,24,20)-s(48,32,12)+*
t(48,32,12)s(32,32,20)t(16,32,12)-s(24,48,12)-+
s(32,32,20)s(40,16,20)s(16,16,12)++t(24,40,28)*
c(32,24,20)s(40,24,20)t(48,24,12)-*c(32,40,12)-
s(48,24,20)s(32,24,28)c(40,40,20)t(32,48,28)*--
s(40,16,20)s(24,40,20)s(32,16,20)+t(32,40,20)-*
s(40,24,20)s(16,40,20)+s(40,16,12)-s(32,24,20)-
t(48,16,12)c(24,32,20)+c(40,32,20)c(24,40,20)**
s(32,24,28)c(24,40,20)*s(48,8,12)+c(32,48,12)-
s(48,40,20)s(32,40,12)s(8,40,12)+c(16,48,12)--
t(48,32,12)t(32,40,20)t(32,24,12)+t(40,48,12)-+
s(16,48,20)s(32,32,20)c(32,48,12)-c(40,48,12)+-
t(24,32,28)s(16,16,12)-c(48,40,12)+t(48,40,12)-
s(24,32,20)s(24,32,28)s(24,16,20)*s(48,48,12)+*
t(24,40,28)s(24,24,12)-s(40,40,28)*s(8,24,12)+
s(32,32,20)t(32,16,12)t(48,32,12)+c(32,40,12)+*
c(24,32,20)c(16,48,12)+s(24,40,28)s(32,48,12)-*
t(24,32,20)c(32,32,20)s(24,24,12)-+s(16,40,20)*
c(16,16,12)c(32,32,20)+c(40,24,20)-s(8,32,12)+
s(16,32,12)s(32,40,20)s(48,24,20)-+s(24,48,20)*
c(40,32,20)s(16,16,12)c(32,32,20)s(16,32,20)*+-
s(16,40,20)c(32,24,20)+c(32,48,12)s(8,40,12)+-
s(32,32,12)c(32,40,12)+c(48,48,12)-t(48,56,12)+
s(40,32,28)c(24,32,20)s(16,48,20)*-s(40,16,20)*
t(24,32,20)s(24,16,20)+c(24,40,20)*s(16,8,12)+
t(24,48,28)c(32,24,20)+t(24,40,28)c(32,24,20)--
s(48,16,20)s(24,24,28)c(40,32,20)*t(16,24,12)+-
t(40,56,12)t(32,32,20)s(8,40,12)c(40,16,12)+-+
t(32,24,20)s(16,40,20)s(24,40,12)-c(16,24,12)+-
s(32,24,28)t(40,48,20)+t(32,40,28)t(24,40,28)*-
t(40,32,20)s(32,24,28)c(40,40,20)*c(48,48,12)-*
c(32,32,28)t(32,48,20)c(16,48,12)--t(32,40,20)-
t(24,24,20)s(24,32,28)c(24,48,12)-s(32,32,28)**
t(32,32,20)t(24,48,28)+s(40,24,20)-c(40,40,20)+
s(40,8,12)t(16,24,12)+t(48,16,12)s(40,40,20)+-
t(24,48,28)c(40,40,12)-c(40,40,20)-s(24,24,20)-
t(24,40,20)c(24,48,12)c(32,40,20)t(40,40,20)-+*
t(32,48,12)s(32,40,12)s(16,24,12)+s(32,24,28)*+
s(40,40,28)t(40,48,20)-s(24,24,28)-c(24,32,12)+
s(32,32,28)s(40,40,28)s(16,48,12)s(40,48,20)++*
c(24,32,20)c(32,40,20)t(40,32,20)-s(32,48,20)*+
s(16,24,20)c(16,40,12)t(24,40,12)+t(24,32,20)+-
s(16,40,20)c(24,40,20)s(24,24,28)-s(16,32,12)+*
s(16,32,20)s(16,48,20)s(32,40,28)s(40,48,20)*--
s(24,40,28)t(40,24,20)c(32,40,12)s(16,40,12)++*
c(48,40,12)t(16,48,12)+t(16,56,12)s(48,40,20)++
s(16,40,12)s(32,48,12)+c(40,40,20)s(32,32,20)*-
s(24,24,28)c(32,24,20)t(32,40,20)s(32,24,12)+-*
c(32,24,20)s(16,32,12)s(24,32,12)+t(32,40,20)+-
c(40,40,20)s(32,48,12)-s(48,48,20)*t(32,48,12)+
s(32,32,12)c(48,48,12)c(32,16,12)+c(40,40,12)-+
c(24,16,12)t(24,40,20)+t(32,24,12)-s(24,32,28)*
s(32,40,20)s(24,24,20)t(32,32,28)*+c(24,16,12)+
s(24,40,28)t(16,24,12)-t(24,48,28)*t(40,24,12)+
s(16,24,20)c(16,48,12)+s(32,48,20)t(16,24,12)+*
c(32,32,20)s(24,24,28)+s(24,40,28)c(16,24,12)-*
c(32,24,20)s(32,24,12)-t(32,48,28)-s(24,32,12)-
s(24,40,28)c(32,24,20)*s(40,40,20)+s(32,24,12)-
t(32,32,20)s(48,40,20)t(40,24,20)-s(24,24,20)+*
s(40,24,20)s(24,32,28)t(32,32,28)**c(24,40,20)+
s(24,32,28)t(40,32,20)-s(24,40,20)t(24,48,20)*+
s(40,32,28)s(16,24,20)c(24,32,20)s(16,40,20)+*-
c(24,40,20)c(32,24,20)t(24,48,28)t(16,32,12)+--
s(32,48,20)s(40,32,20)t(40,40,12)--s(48,32,20)+
t(24,56,12)s(48,32,20)s(32,40,20)t(16,16,12)+-+
c(32,32,28)s(40,24,20)-c(40,40,12)-t(24,40,28)-
s(32,32,28)s(32,40,28)t(24,40,28)+*t(24,32,28)*
t(32,40,28)s(48,24,20)s(48,40,20)*+t(32,48,20)*
s(40,16,12)s(40,32,20)+s(40,24,28)c(32,32,20)**
t(24,48,20)s(48,16,12)+s(32,16,12)+t(32,32,28)+
t(32,16,12)s(48,8,12)t(40,40,20)t(24,48,12)+++
c(32,32,20)c(40,40,20)*s(48,48,20)-s(24,40,28)*
s(32,24,20)s(48,16,20)-s(32,40,12)+t(24,32,12)-
s(16,48,20)t(16,16,12)s(32,40,20)+s(40,32,20)--
c(32,48,12)c(40,40,20)s(24,24,28)c(32,32,20)**+
c(32,40,20)s(40,16,20)+t(24,40,12)-s(32,40,20)-
c(40,16,12)s(40,48,20)+t(32,48,20)*s(48,48,12)+
s(48,24,20)c(40,24,20)c(48,48,12)c(40,48,12)+-*
t(48,32,12)s(48,40,20)t(32,40,28)*s(16,32,20)++
s(40,40,28)t(40,24,20)*t(24,48,20)+t(24,40,12)-
s(32,40,28)t(24,24,20)s(16,8,12)+s(16,16,20)*-
s(24,48,20)t(16,56,12)s(24,32,20)c(32,48,12)-+*
c(24,24,20)c(24,32,20)c(32,48,12)-s(48,24,20)+*
s(40,24,28)s(24,24,28)*t(24,48,28)-t(40,48,20)-
s(32,40,20)c(40,40,20)s(48,16,20)-+s(32,48,20)-
s(24,8,12)t(24,40,20)+s(8,48,12)c(40,40,20)+*
s(40,32,28)s(16,32,20)t(32,32,28)*-t(40,32,20)*
s(24,8,12)c(24,40,12)+s(32,40,12)-s(48,32,12)+
c(40,32,20)t(24,16,12)+s(24,24,20)c(16,32,12)-*
s(24,24,28)c(32,32,20)*s(32,24,20)*t(32,32,28)*
t(32,40,28)c(40,48,12)s(32,48,12)t(16,56,12)++*
t(24,32,28)s(24,24,28)s(40,24,20)*s(32,16,20)*-
s(32,40,20)t(24,32,20)t(16,40,12)--s(48,16,20)-
s(16,24,20)s(24,40,28)+t(24,48,12)s(24,16,12)+-
c(24,32,20)c(32,24,20)t(24,48,28)-*t(16,56,12)+
t(16,16,12)s(8,48,12)+c(16,24,12)+s(24,40,12)+
t(32,56,12)t(32,24,20)t(24,48,28)-+s(24,16,12)+
c(32,16,12)t(16,32,12)t(32,40,28)+s(32,32,28)*+
s(32,40,28)s(32,32,28)*s(8,8,12)s(48,48,20)+-
s(24,40,20)c(24,24,20)t(16,32,12)--s(48,32,20)+
s(16,24,20)t(32,40,28)+s(32,32,28)t(32,40,28)*-
s(24,40,28)c(32,32,28)*s(16,40,20)t(32,32,20)-*
c(16,40,12)s(40,16,20)t(32,40,12)++c(24,16,12)-
c(24,24,12)s(48,40,20)t(40,48,20)+c(32,40,20)-+
s(32,32,20)t(24,16,12)+t(40,24,20)-t(16,32,12)-
s(24,24,20)c(32,16,12)s(40,32,20)c(24,16,12)-+*
s(40,40,28)c(48,16,12)s(32,40,20)+c(16,48,12)-*
s(40,40,28)s(24,40,20)+s(40,48,12)-s(16,40,20)*
c(40,40,12)s(24,16,20)+s(40,24,28)c(32,16,12)-*
s(24,40,28)t(40,48,12)-t(16,56,12)s(16,16,20)+*
s(32,16,12)t(40,24,12)+s(16,16,12)+s(40,24,28)*
c(40,24,20)c(16,48,12)s(32,8,12)t(48,16,12)++-
s(48,32,12)s(16,48,20)s(24,48,12)-+s(8,40,12)-
t(24,48,28)c(24,32,20)t(24,40,28)-c(24,40,20)+*
c(24,32,20)s(24,16,20)*t(16,16,12)+t(32,48,28)-
s(40,24,28)s(24,24,28)s(48,48,12)s(24,40,28)+*-
t(24,56,12)s(40,16,20)c(32,24,20)++s(32,24,20)-
t(32,32,28)t(24,32,12)-c(40,40,20)c(16,40,12)+*
s(16,48,20)c(24,40,20)*c(40,32,20)+c(32,16,12)+
c(24,24,20)t(40,32,12)t(48,32,12)s(32,48,12)+++
t(24,40,28)t(32,32,20)-s(40,32,20)t(24,32,28)*-
s(48,32,20)c(32,32,20)*c(24,48,12)+s(48,40,12)-
s(40,32,20)s(32,40,20)t(32,16,12)+s(24,32,20)*-
t(24,32,28)c(24,24,20)*s(32,48,20)s(16,40,12)+-
s(32,24,20)t(40,48,12)+c(24,40,20)s(24,32,20)--
s(24,32,28)t(24,40,28)s(40,32,20)-s(48,48,20)-*
t(24,32,28)c(32,16,12)-s(16,16,20)+c(24,40,20)*
t(32,48,28)s(40,32,28)t(24,24,12)-c(32,24,12)--
t(32,56,12)s(16,48,20)t(32,32,12)++s(40,40,28)+
c(40,40,20)s(48,32,20)+t(32,48,28)-t(40,24,12)-
s(8,32,12)t(24,40,28)+t(32,40,28)+s(40,48,12)-
c(24,32,20)s(16,16,20)+t(32,32,20)c(16,40,12)--
t(32,32,28)s(40,32,12)-s(40,24,20)-s(32,48,12)+
s(40,40,28)s(32,40,28)*s(16,48,20)-s(24,24,28)*
s(32,32,28)s(32,24,28)*c(24,32,20)s(48,40,12)+*
c(16,40,12)c(24,32,12)+s(40,16,20)s(32,8,12)-+
s(32,24,12)c(40,32,20)s(40,24,28)*s(24,40,20)-+
s(24,32,28)s(24,40,20)s(48,32,20)s(48,40,20)*-*
c(32,48,12)t(32,48,28)t(24,56,12)-+s(32,40,28)*
s(24,40,28)s(40,24,20)t(32,40,20)+*s(40,48,20)+
s(40,24,28)s(32,24,20)s(40,32,20)s(16,40,20)--*
c(32,32,28)t(48,48,12)c(32,32,20)+-s(16,16,12)-
s(48,24,20)s(48,32,12)-c(40,32,20)t(32,32,28)--
s(48,8,12)t(32,48,20)+c(32,32,28)c(24,48,12)--
t(48,40,12)s(16,32,20)s(24,32,20)t(16,32,12)-++
t(32,40,20)s(48,40,12)t(24,24,20)s(24,48,20)-++
s(48,24,12)c(16,16,12)+s(32,40,28)c(48,48,12)--
s(16,32,20)c(24,32,12)t(40,32,20)++s(16,32,12)-
s(40,24,20)s(16,24,20)+s(48,24,20)s(48,48,20)-*
t(48,56,12)s(24,24,20)t(40,24,20)-s(40,40,28)-+
s(40,32,20)c(24,16,12)+s(32,16,20)t(24,56,12)+*
c(40,32,20)s(32,24,28)s(40,24,28)c(24,24,20)-*+
s(24,24,20)c(32,32,20)s(16,24,12)+*t(16,56,12)+
s(32,24,20)c(40,40,20)c(16,24,12)t(32,40,28)+*-
s(40,16,20)s(40,32,28)*t(40,40,20)+s(40,40,12)-
s(24,32,28)t(32,48,28)-c(32,24,12)t(40,32,12)+-
s(24,16,20)s(40,32,20)t(48,56,12)+-c(16,16,12)+
s(24,24,28)s(24,32,28)*s(40,40,28)*t(40,40,20)+
c(32,24,20)c(40,24,20)s(32,32,28)*s(32,40,28)+*
s(32,40,20)t(32,32,28)s(32,24,12)-*t(40,48,12)-
s(32,24,20)c(24,24,20)*t(16,56,12)+s(32,16,20)*
s(32,40,28)s(16,40,20)t(24,48,12)--t(24,40,20)-
s(40,24,28)t(24,32,28)*s(16,32,12)-c(24,32,20)*
c(32,24,20)t(32,40,28)c(32,32,20)+s(8,16,12)+*
t(32,48,28)t(40,56,12)s(24,8,12)t(24,40,28)++*
c(32,32,12)s(24,16,12)+s(40,32,28)s(24,40,20)-+
s(48,16,12)s(24,24,28)+t(40,24,20)-t(24,32,28)*
t(32,32,28)c(40,24,20)s(40,40,28)**s(32,40,20)*
s(32,40,20)c(24,24,20)s(8,32,12)-*t(16,40,12)+
t(48,56,12)s(32,32,28)t(32,32,28)-+c(40,24,20)-
t(48,40,12)s(32,24,20)t(24,48,20)c(32,24,20)-++
c(32,40,20)c(40,40,12)-t(24,24,20)s(32,40,20)+*
c(24,40,20)t(32,48,28)t(24,32,20)-c(24,40,12)--
s(40,8,12)c(32,24,12)+c(24,24,20)*s(32,32,12)+
c(40,40,20)c(24,24,12)-s(32,40,28)t(32,40,20)-*
s(32,24,12)s(40,24,20)s(32,32,28)*t(32,48,28)-+
t(24,16,12)c(32,40,20)s(24,32,28)*+t(24,24,20)*
t(32,24,12)c(24,32,20)s(24,48,12)s(40,32,12)+-+
s(32,32,20)s(24,40,20)s(16,8,12)s(40,40,28)+*-
t(32,32,28)s(32,32,28)s(40,32,20)c(24,32,20)*--
c(24,40,20)s(40,24,28)t(24,32,20)s(48,48,20)-+-
s(48,16,20)t(24,32,20)c(40,32,20)+t(24,48,20)+*
s(24,40,20)c(40,40,20)c(32,32,20)++t(32,48,20)*
s(32,40,20)s(48,24,12)c(24,40,12)+t(48,32,12)-*
t(24,16,12)s(24,32,12)+c(40,32,20)+t(48,56,12)+
c(32,32,20)t(24,48,20)s(40,48,12)+t(16,40,12)--
c(40,40,20)c(32,24,20)t(40,40,20)+s(32,24,20)-*
s(16,16,20)c(24,24,20)s(24,40,28)t(24,48,12)-*-
t(24,24,20)s(48,48,20)s(8,24,12)++s(32,40,28)*
t(24,40,28)s(8,48,12)-s(40,24,28)+s(40,32,20)-
t(40,32,20)t(32,32,28)t(32,48,28)-+t(32,40,12)-
c(32,32,28)c(16,16,12)c(24,32,20)+s(32,40,20)*-
s(24,24,28)s(40,40,20)-c(40,32,12)+s(8,40,12)-
t(48,56,12)c(32,32,28)s(32,16,20)*+c(40,32,20)*
c(32,40,20)s(40,24,28)*s(32,32,20)*s(40,40,20)*
s(48,24,20)t(24,24,20)c(40,32,12)-+c(40,32,12)-
s(24,16,20)t(40,32,20)c(24,32,12)-+s(48,24,20)-
c(32,40,20)s(40,24,28)s(48,16,12)-t(32,24,12)-*
c(32,32,20)s(24,32,28)s(16,40,20)s(8,24,12)---
s(32,32,20)t(32,48,28)t(32,32,28)+s(32,32,12)-*
t(32,32,12)t(40,56,12)+c(40,32,20)+s(32,16,20)-
t(24,48,28)s(16,24,20)s(32,32,28)c(32,40,20)*+*
s(32,24,28)t(24,32,28)c(32,24,20)+*s(48,16,20)-
s(48,24,20)c(40,32,20)*s(48,48,20)c(24,32,20)--
c(40,32,20)s(48,40,20)*s(48,40,20)s(32,24,20)-*
s(40,16,20)c(40,32,20)s(40,40,28)*-c(48,24,12)-
t(40,40,20)s(32,32,28)c(40,40,20)t(24,32,28)--+
t(24,32,28)s(32,48,20)s(16,32,12)+c(32,32,28)**
s(32,32,20)s(48,32,12)c(24,24,20)c(32,32,20)-+-
c(40,32,20)s(48,48,20)t(16,56,12)+c(32,32,28)**
s(32,48,20)t(32,32,28)t(32,40,20)*t(48,32,12)+-
s(40,40,20)c(24,24,20)t(16,24,12)--s(24,40,20)-
c(24,32,20)s(24,8,12)+s(16,48,12)-c(24,24,20)*
t(24,40,28)t(40,24,12)+s(16,16,20)+s(24,40,28)-
t(32,32,20)s(40,16,12)-c(24,48,12)+t(24,48,28)*
s(24,32,20)s(8,40,12)-s(40,8,12)+c(24,32,20)*
s(40,16,20)c(16,16,12)t(32,40,12)+c(24,24,20)*+
s(24,24,28)s(8,16,12)c(40,24,12)++s(24,32,12)-
t(24,24,20)s(16,40,20)c(32,40,20)*+t(24,40,20)*
s(48,16,20)c(32,24,20)+s(32,24,28)t(32,40,28)**
s(24,48,20)s(24,48,12)-s(16,16,20)+c(24,40,12)-
s(48,48,20)t(32,48,28)s(24,24,28)s(40,24,20)--*
s(32,32,20)t(24,24,20)-t(32,24,12)+s(24,32,20)*
c(24,24,20)c(32,40,12)-c(32,24,20)s(16,24,20)**
c(32,24,12)t(24,32,20)s(32,40,28)s(48,32,20)-*+
t(32,32,28)s(40,32,20)c(32,40,20)+t(40,48,20)*-
s(24,40,12)t(32,48,20)s(40,24,20)++s(32,24,28)*
t(32,40,28)t(24,56,12)+t(32,32,28)*s(40,32,20)*
s(40,32,28)c(32,32,20)t(40,40,12)-s(16,32,20)+*
t(24,24,20)s(40,48,20)+s(24,16,20)-s(32,24,28)-
t(32,40,28)s(32,48,20)-s(32,40,28)s(40,40,20)-+
c(16,32,12)c(32,24,20)+s(24,40,20)t(32,40,12)--
s(40,24,20)t(16,40,12)+c(40,32,20)*c(40,40,20)*
s(24,48,20)s(16,48,20)t(32,40,28)s(48,48,20)-+*
s(40,40,20)s(40,24,12)-c(40,40,20)t(24,32,20)-*
s(24,32,28)s(24,48,12)-s(32,24,28)t(24,40,20)-*
c(32,48,12)c(32,32,20)c(48,16,12)-+t(24,40,28)*
c(32,40,20)t(24,16,12)+s(40,40,12)-s(24,40,28)*
s(48,48,20)s(40,48,20)c(24,24,20)+s(16,32,20)+*
s(32,40,28)s(40,32,28)-s(24,40,12)c(40,24,20)+-
s(48,8,12)s(32,48,20)s(8,16,12)+s(32,32,20)++
s(16,24,12)c(32,32,20)c(40,40,12)t(16,56,12)+-+
s(32,48,20)s(16,32,20)-c(32,32,12)+s(48,32,12)+
s(16,40,20)c(32,40,20)s(16,32,12)+c(40,40,20)*+
s(24,40,28)s(24,32,28)*s(32,32,28)s(40,40,28)**
c(32,24,20)c(40,32,20)t(24,48,12)+t(32,48,28)-*
s(48,40,20)c(32,40,20)*t(24,40,28)+s(48,40,20)*
c(24,32,20)s(48,16,12)c(48,24,12)s(40,32,20)++-
s(40,24,20)s(32,32,12)-t(32,48,28)+s(32,24,28)*
s(16,48,20)s(16,40,12)s(40,40,20)t(32,40,20)*+-
t(24,32,28)s(32,48,20)+s(24,16,20)s(8,24,12)-+
t(48,56,12)s(8,8,12)t(32,40,20)++t(32,56,12)+
t(40,24,20)s(40,40,28)s(8,40,12)+s(16,8,12)+*
s(16,16,20)s(24,16,20)t(32,40,28)-t(32,32,28)+*
s(16,40,20)s(24,32,28)+c(32,32,20)+t(40,24,20)*
s(32,40,28)t(40,24,20)t(32,48,28)t(24,40,28)*--
s(48,16,12)c(32,40,12)+t(16,24,12)t(24,24,20)++
c(24,40,20)t(24,24,12)-t(16,32,12)-s(16,16,12)+
c(32,40,20)s(24,24,28)t(32,40,20)-+c(32,40,12)-
s(40,40,28)s(24,40,28)*s(16,16,20)+t(40,16,12)+
t(40,48,12)t(24,48,28)+c(24,32,20)t(32,40,28)*+
s(8,48,12)c(24,24,12)+t(32,32,12)s(16,40,20)++
c(24,32,20)t(48,16,12)s(24,40,20)+c(32,40,20)+*
t(16,16,12)s(32,16,20)s(32,32,12)t(24,56,12)+-+
c(24,32,12)t(32,40,20)+s(32,24,20)s(32,40,28)*-
t(32,32,20)t(24,32,28)c(16,48,12)-+c(32,32,20)*
s(32,32,20)s(24,16,20)s(16,24,20)*s(48,32,20)+*
s(40,16,20)s(16,16,12)s(8,40,12)s(48,40,20)++-
s(32,24,28)t(24,32,28)s(32,24,28)t(32,32,28)+**
s(40,24,28)s(32,32,28)s(48,32,20)s(40,24,20)**-
s(40,32,20)s(48,40,20)c(24,16,12)+t(24,32,20)+*
s(40,32,28)c(32,24,12)-t(32,48,28)-c(40,32,12)-
s(40,32,20)t(24,40,28)t(40,24,20)-+s(40,16,20)*
t(32,40,20)s(40,16,20)t(32,32,28)-+c(40,24,20)*
s(32,40,20)c(40,40,20)*s(32,48,20)*t(24,40,28)*
s(48,32,20)c(32,48,12)s(32,24,28)s(40,8,12)-++
t(16,40,12)s(24,16,20)c(24,24,20)s(24,32,20)+*+
s(24,24,20)s(48,32,20)c(24,40,20)-s(40,32,12)+-
c(16,16,12)s(32,40,28)+s(40,32,20)*s(24,32,28)*
c(48,32,12)s(40,40,20)+c(24,24,20)+s(32,16,20)+
s(16,48,20)t(40,56,12)t(32,32,28)+t(32,40,28)+*
s(24,32,20)t(32,32,28)s(48,40,12)-*c(40,40,12)+
s(48,48,20)s(40,32,28)c(24,24,20)-t(24,32,20)+*
t(48,16,12)s(24,32,20)s(16,24,20)-+s(24,32,28)*
s(32,32,28)s(16,24,20)s(40,16,12)t(32,48,12)++*
t(32,48,12)c(24,16,12)+c(40,40,12)t(32,32,12)+-
s(48,32,20)c(40,40,20)s(40,24,20)+*c(40,24,20)*
c(40,32,20)c(48,16,12)c(40,24,12)+-t(24,32,28)+
s(40,24,20)s(32,32,28)s(24,24,28)*s(24,16,20)*+
s(48,24,20)t(32,32,28)s(24,32,20)s(32,40,20)*-+
s(16,8,12)s(48,32,12)+c(24,40,20)+s(24,32,28)-
t(32,40,28)t(24,40,28)*s(40,40,28)*t(32,56,12)-
s(48,16,12)t(24,48,28)s(16,24,20)+s(32,40,28)*+
s(32,48,12)s(16,32,20)+s(48,24,20)t(24,40,20)+-
s(48,16,20)s(40,32,28)s(24,32,28)*s(32,24,28)*-
s(40,32,28)s(16,16,12)c(40,24,20)s(32,32,28)*+*
s(16,16,20)s(32,40,12)s(16,32,20)+s(40,40,28)*-
s(48,8,12)s(32,48,20)+s(24,24,28)c(40,40,20)-+
c(24,32,20)s(32,32,20)-s(40,24,28)+t(40,40,20)-
s(40,40,20)s(32,24,20)-t(24,40,12)-s(40,32,28)*
s(40,16,20)t(32,24,20)+c(32,40,20)t(48,48,12)--
s(24,48,12)s(32,24,28)s(24,32,20)-s(24,40,28)-+
c(40,40,20)t(32,32,28)-c(40,24,12)-s(8,48,12)+
c(32,32,28)t(24,48,28)s(40,40,20)--t(32,32,28)*
t(40,24,20)t(32,48,28)s(16,24,20)s(8,40,12)-+-
s(16,24,12)c(32,24,20)t(32,32,28)*+s(24,40,12)+
s(24,16,20)c(24,32,20)s(40,48,20)+s(32,24,28)**
s(16,48,20)s(24,48,20)s(48,24,20)c(32,32,12)+-+
s(24,24,28)s(32,24,28)s(32,24,20)--c(32,32,20)*
t(24,24,20)t(24,32,20)+s(32,40,20)+c(40,40,12)-
s(32,16,12)t(32,48,12)+t(24,40,28)+s(40,24,28)*
s(16,48,20)t(32,24,12)c(40,32,20)c(24,40,20)*++
t(24,40,28)t(48,32,12)s(16,40,20)+c(24,48,12)--
s(16,24,12)s(40,32,20)+s(32,32,12)-s(48,32,20)*
s(40,32,28)s(40,40,28)s(8,24,12)s(48,40,20)++*
t(32,40,28)s(24,40,28)*s(24,16,20)-c(16,16,12)+
s(32,24,12)s(32,32,20)c(24,40,20)*c(48,32,12)-+
c(48,48,12)s(16,24,20)+s(32,32,20)+s(40,40,12)-
s(40,32,28)c(48,48,12)s(48,24,20)++s(48,16,20)*
c(32,32,28)s(24,48,12)-t(32,48,28)t(40,56,12)-*
s(24,32,28)s(24,16,20)+s(24,32,20)c(32,32,20)*-
t(24,32,28)s(40,32,20)t(40,48,20)-s(24,40,12)--
s(40,32,20)s(40,48,20)*t(24,32,12)t(40,16,12)++
c(24,32,20)t(16,24,12)-s(24,40,20)+c(40,32,12)-
s(24,24,28)t(24,48,20)+t(24,40,28)-s(40,24,12)-
c(24,32,20)s(32,16,12)t(24,40,28)+*s(32,24,12)-
s(40,48,20)t(32,48,28)c(16,48,12)t(32,32,20)+-*
s(40,40,28)t(24,40,28)c(32,40,20)*t(40,32,12)+*
c(32,32,28)t(24,48,28)s(40,24,28)+*s(32,48,20)*
s(24,40,28)t(24,48,28)*s(48,32,12)+c(16,40,12)+
t(16,32,12)s(48,48,12)+t(24,40,28)s(16,32,20)-+
s(8,16,12)t(24,32,28)+s(16,40,12)-t(48,56,12)+
s(8,24,12)s(32,32,28)+t(32,24,12)-s(40,32,12)-
s(48,32,12)c(16,40,12)+s(48,24,12)t(40,24,12)+-
s(40,24,28)s(32,24,28)*s(40,32,20)c(24,48,12)+-
s(32,16,20)s(40,40,20)+s(24,40,28)*c(40,40,12)-
s(40,8,12)s(40,48,20)+s(48,32,12)-s(8,40,12)+
c(32,32,12)c(32,40,20)s(32,24,28)-+t(24,40,12)-
c(40,40,20)s(24,16,20)t(24,48,28)+*s(48,24,12)+
c(40,40,12)s(40,16,20)+s(48,32,20)-s(48,16,20)+
s(32,32,12)s(24,32,12)+t(48,16,12)+s(40,24,12)-
s(24,40,28)c(32,40,20)c(40,32,20)**s(32,16,12)+
s(40,40,20)c(40,40,20)c(40,32,20)**c(32,24,20)+
s(24,40,20)t(40,48,20)-t(48,56,12)+s(8,48,12)+
s(40,24,20)s(24,16,20)t(40,24,12)t(32,48,12)++*
s(48,16,20)s(48,32,12)c(32,40,12)+t(32,48,20)-+
c(40,40,20)t(48,48,12)-s(16,40,20)+s(32,32,28)-
s(32,32,20)t(40,48,20)-t(40,24,20)s(24,16,12)+*
s(32,48,12)s(32,24,12)+t(32,24,20)+c(40,24,20)*
s(24,24,20)s(24,40,28)s(32,32,20)s(40,40,28)+--
s(40,24,28)t(40,24,12)-s(48,40,20)s(32,48,20)-+
s(16,16,20)s(16,16,12)s(48,24,20)+c(32,24,20)--
s(24,24,28)t(48,48,12)s(40,16,20)+s(40,32,20)+-
s(48,8,12)t(40,40,12)t(24,40,20)+t(24,40,28)*+
s(32,32,28)s(16,16,12)t(32,48,28)+s(16,24,20)+*
s(24,40,28)s(24,24,28)c(24,48,12)++s(40,40,20)-
t(16,16,12)t(48,56,12)+t(32,32,28)+t(40,32,12)-
s(24,32,28)s(16,32,12)s(40,32,28)+s(24,24,20)-*
c(24,24,20)s(32,16,20)s(24,24,28)c(32,32,12)-**
t(24,32,20)s(24,32,28)c(32,40,20)**t(48,24,12)+
c(40,40,20)s(8,40,12)+t(16,32,12)c(48,32,12)+-
c(40,40,20)s(48,32,20)-s(48,48,20)+s(32,48,12)-
s(32,40,28)t(40,40,20)t(40,24,12)+-c(40,32,20)-
s(32,32,28)c(24,32,20)+s(40,32,20)-s(24,40,28)*
s(32,32,28)s(32,40,20)s(32,16,20)s(24,16,20)*+*
t(16,16,12)t(40,24,20)s(32,32,12)s(48,32,20)+*+
c(24,32,20)s(48,24,20)-s(24,32,20)*t(16,24,12)-
c(32,32,20)s(40,40,20)t(32,40,28)s(24,32,28)**-
s(16,40,20)s(40,32,20)+s(24,40,20)-s(48,32,20)*
t(48,24,12)s(48,16,12)t(32,24,12)++s(32,24,12)-
s(32,40,28)s(16,40,20)c(32,32,12)--s(48,40,20)*
t(40,48,20)c(40,16,12)s(32,40,12)+s(24,16,12)++
s(24,32,20)c(16,24,12)-s(16,48,20)+c(48,16,12)+
s(40,24,20)c(40,40,12)+s(24,40,12)+s(24,24,12)-
c(40,40,20)t(24,40,28)s(24,40,20)*c(24,24,12)-+
c(24,24,20)s(24,48,12)s(32,32,12)t(40,56,12)++-
s(24,16,20)s(40,24,20)s(24,24,12)-t(16,48,12)+-
c(48,48,12)c(40,24,20)c(40,40,20)-s(24,40,28)-+
t(32,32,28)s(48,32,20)t(40,32,20)+s(40,16,20)--
c(32,40,20)s(32,24,20)s(24,40,20)--c(24,40,20)+
t(24,32,28)t(32,56,12)s(24,48,12)+-s(16,16,20)-
s(32,24,20)s(32,48,12)t(32,24,12)+c(24,40,20)*-
s(32,40,28)s(40,40,20)c(32,32,20)t(40,40,12)-+*
s(24,40,28)t(40,40,20)-s(24,24,28)c(32,40,12)-*
c(40,40,20)t(16,48,12)c(24,24,12)+-t(32,32,28)-
s(24,32,28)c(24,40,12)-c(24,32,12)-s(16,24,20)*
s(16,24,20)t(40,24,12)+c(40,32,12)+s(32,32,20)*
s(48,48,20)t(32,48,28)s(32,16,20)s(32,40,28)-+*
t(16,48,12)t(32,32,20)s(32,48,12)-+s(16,40,12)+
s(32,32,20)s(24,40,28)s(16,48,20)t(24,48,20)*-*
c(40,24,20)s(24,40,20)+s(48,40,20)t(24,48,28)-+
t(48,40,12)t(32,48,28)s(40,24,28)-s(32,40,28)*+
s(24,24,20)s(24,40,20)s(40,48,12)+*s(8,48,12)+
t(48,32,12)c(32,24,12)+t(32,24,20)*t(48,32,12)+
t(40,24,20)s(24,40,20)s(16,40,20)s(48,32,20)+*-
c(40,24,20)t(32,24,20)s(40,24,20)+c(40,32,20)*-
s(24,24,12)s(40,40,28)s(32,32,20)+t(32,40,28)*+
t(32,40,12)t(40,40,20)+t(24,24,20)-s(32,8,12)+
s(16,16,20)c(40,32,20)t(24,32,20)+s(24,24,28)*-
c(32,40,20)s(16,16,20)c(24,32,20)t(32,24,20)-+*
s(40,32,28)t(32,32,28)s(24,16,20)-*t(32,24,20)+
s(40,40,20)c(40,48,12)-t(40,48,20)-s(32,16,12)+
t(40,24,20)t(16,24,12)c(24,48,12)++s(40,24,20)*
t(24,32,28)s(40,40,28)s(16,24,12)+*s(16,16,20)-
s(24,24,20)s(16,32,20)s(24,32,28)s(32,16,12)-**
s(32,32,20)s(24,24,28)s(32,40,12)-s(8,48,12)++
c(24,40,20)t(32,32,28)+s(32,32,20)-t(24,40,12)+
s(24,24,28)c(32,32,28)*c(24,40,20)s(8,32,12)-*
s(24,40,28)s(40,40,12)-s(24,48,20)s(16,48,20)+-
s(32,24,28)t(40,32,12)c(24,40,12)+*s(40,16,12)+
c(32,40,12)t(16,40,12)+t(24,40,20)t(16,16,12)+*
c(24,48,12)t(40,48,20)t(32,48,12)+s(40,32,12)-+
s(24,40,12)s(32,40,28)t(24,32,20)-+t(32,40,20)*
c(32,32,28)s(40,32,12)s(16,24,20)+s(40,48,20)+*
s(32,24,28)t(32,32,28)s(32,48,20)s(40,40,28)*-*
s(24,24,20)c(40,24,20)t(32,32,20)-c(24,32,12)+*
s(24,48,20)s(32,40,20)*s(16,48,20)t(24,32,28)+*
c(32,32,28)c(24,24,20)c(32,40,20)-*s(24,16,20)*
c(16,24,12)s(32,32,28)t(16,32,12)-+t(32,40,28)*
s(16,24,12)s(40,40,28)t(24,40,28)t(24,24,20)+*+
s(48,8,12)c(32,48,12)+c(24,48,12)-s(32,16,12)+
s(48,32,12)t(24,24,12)s(24,48,20)+c(32,24,12)-+
c(24,24,20)t(24,32,28)-t(32,40,28)t(40,48,12)-+
c(40,32,20)c(32,40,20)*s(24,32,28)+s(16,16,20)*
s(32,32,20)s(24,24,20)c(32,32,20)+t(24,40,20)-*
t(32,32,20)t(40,32,12)-t(24,40,20)+s(48,40,20)-
s(24,24,20)c(32,16,12)+s(24,40,28)-s(48,32,20)+
s(40,40,20)c(32,48,12)-c(32,48,12)t(40,48,20)++
c(24,32,12)c(40,24,12)+c(24,24,20)t(24,40,28)**
s(16,24,20)s(32,32,28)t(32,48,28)*t(40,48,12)-+
s(32,40,28)s(32,24,20)*c(40,40,20)c(32,32,12)-+
s(40,32,20)t(16,24,12)+t(32,32,12)s(16,8,12)++
s(16,48,20)t(24,48,28)*s(32,48,20)*s(40,48,12)+
s(32,32,28)c(40,32,20)s(24,32,20)s(32,24,28)**-
c(32,32,12)t(32,16,12)+c(32,48,12)+s(40,16,12)+
c(24,32,20)t(40,48,20)-s(32,16,20)+t(24,24,20)-
s(40,16,20)c(32,32,28)*s(16,16,20)-s(8,16,12)+
s(16,16,20)t(16,32,12)c(48,32,12)+c(32,32,12)-+
s(32,32,12)t(32,40,28)t(32,48,20)*+s(32,32,28)*
t(40,32,20)c(24,32,20)t(24,32,20)-s(16,24,20)--
c(32,40,20)c(40,24,12)-s(8,48,12)+s(24,24,12)-
s(24,32,20)t(48,24,12)s(48,40,12)++t(40,40,20)*
t(16,16,12)s(40,24,12)t(32,48,28)s(40,32,28)*++
t(24,40,28)c(24,24,20)c(40,24,20)s(48,48,20)-*-
s(40,40,28)s(48,32,20)-t(40,48,12)-s(32,16,12)+
s(40,32,28)s(24,40,28)c(32,24,20)c(24,32,12)--*
s(8,40,12)c(24,32,12)c(24,16,12)++c(32,40,12)-
s(24,32,28)s(40,24,20)*s(32,32,20)*s(32,48,20)+
s(24,32,28)s(8,8,12)+s(32,8,12)s(24,24,20)++
s(40,24,28)c(24,48,12)s(32,16,20)+*c(24,32,20)+
s(24,48,20)c(40,48,12)-c(40,40,20)c(24,24,12)--
t(32,32,28)s(16,16,20)-s(32,48,20)*s(48,40,20)+
c(40,48,12)c(32,32,28)s(48,40,20)t(16,40,12)+*+
c(32,40,20)c(32,24,20)s(48,24,20)*+t(24,48,28)-
s(24,24,20)s(32,32,20)s(32,32,12)-s(40,16,20)+-
t(16,48,12)t(24,40,28)s(24,32,20)c(48,16,12)+*+
t(40,40,20)s(40,24,20)+c(32,32,20)s(40,24,28)**
c(32,32,20)s(16,16,20)t(32,24,20)-t(16,40,12)+-
s(40,40,28)s(40,48,12)-s(40,32,28)*s(32,40,12)-
s(24,40,28)s(40,40,28)s(32,32,20)*c(32,48,12)-*
s(32,48,20)t(24,24,12)+s(40,16,20)+c(24,32,20)*
t(16,56,12)s(16,8,12)+c(24,32,20)s(48,16,20)+-
s(32,40,20)s(24,32,20)+c(40,40,20)*t(40,40,20)*
s(24,32,20)c(24,48,12)s(40,32,20)++s(24,32,28)*
c(40,40,20)s(32,48,12)s(24,32,20)+c(16,32,12)--
s(32,32,28)s(40,32,28)s(24,24,28)*-c(32,32,20)+
s(32,24,20)c(16,32,12)-c(32,32,12)c(16,24,12)++
s(24,16,20)s(16,16,20)s(32,32,20)-*s(8,32,12)+
s(16,24,20)c(40,40,20)s(48,48,20)t(32,48,12)+*+
c(40,24,20)s(48,40,20)+c(40,24,20)t(32,40,28)--
s(24,32,20)t(32,56,12)+t(32,48,12)-t(24,48,28)*
s(24,40,12)t(24,40,28)s(40,32,28)*+t(32,32,12)-
s(40,32,28)c(40,24,20)s(32,16,20)+*s(32,48,20)-
t(32,48,28)s(24,32,20)-c(16,48,12)-c(40,40,12)+
t(24,48,28)t(32,40,12)-t(24,48,20)*s(40,40,12)+
s(40,40,28)s(16,48,20)-t(32,32,28)c(32,16,12)+*
s(32,40,28)c(40,48,12)-t(24,48,28)+c(40,40,20)*
t(24,32,28)s(24,32,28)s(32,16,12)-*c(32,24,20)*
c(24,32,20)s(8,16,12)s(40,24,20)c(32,32,20)*+*
c(40,32,20)s(24,40,20)c(32,32,20)+*t(32,32,12)-
s(32,24,20)s(32,16,20)*s(8,24,12)c(16,16,12)+-
c(32,32,28)t(40,48,20)s(24,32,12)s(48,32,20)++-
t(32,48,28)t(32,40,28)*t(48,48,12)-s(24,48,20)*
s(40,24,20)c(24,24,20)*s(8,24,12)+c(40,40,12)-
s(16,16,20)s(32,32,28)c(40,24,20)*s(32,16,20)+-
s(24,32,28)c(32,40,20)t(32,32,20)s(40,48,20)+*-
s(24,40,20)s(32,32,28)*c(48,24,12)+t(32,48,12)-
s(40,24,28)t(32,48,28)+c(32,40,20)*c(24,32,12)-
c(16,48,12)c(48,16,12)+t(40,56,12)+s(48,32,20)-
s(32,48,20)s(16,8,12)+s(24,40,28)s(16,24,12)-+
s(32,40,20)s(40,32,28)+c(24,40,12)-c(40,32,20)+
s(24,32,28)s(24,32,20)s(24,8,12)+*t(32,32,28)*
t(24,48,28)s(32,32,28)s(16,24,12)-s(48,32,20)*+
t(24,48,12)c(32,32,20)c(32,40,20)*+t(24,48,28)-
s(16,16,20)s(32,32,28)s(16,8,12)+t(40,48,20)-*
s(48,32,12)t(48,40,12)+s(24,40,20)+c(32,48,12)-
s(40,32,28)c(24,24,20)*s(32,16,20)s(16,8,12)-*
t(40,32,20)s(24,24,20)s(40,32,20)s(24,8,12)+-+
t(24,40,28)s(32,48,20)s(40,40,28)*+c(48,40,12)-
s(32,32,28)c(24,32,20)c(40,48,12)-t(24,16,12)-*
t(32,16,12)s(48,40,20)t(32,24,20)c(48,24,12)+-+
s(40,24,28)s(48,24,20)c(48,24,12)--t(32,48,28)-
s(32,24,20)c(32,32,12)c(48,48,12)+t(24,32,28)-+
s(24,32,28)c(40,40,12)-s(40,24,28)*t(24,16,12)-
s(40,32,28)s(16,16,20)-s(24,32,28)c(24,24,20)**
s(48,8,12)s(24,48,20)+s(16,48,12)-t(24,32,20)+
c(40,40,20)c(40,32,20)t(40,48,20)+s(16,32,20)-*
s(40,24,28)t(24,32,12)-t(32,24,12)-s(32,16,20)*
c(16,48,12)c(32,24,20)t(16,40,12)++t(24,40,28)+
c(32,32,28)c(16,48,12)-s(32,40,28)*c(32,24,20)*
t(24,24,20)t(40,56,12)+s(24,32,12)s(16,48,20)+-
s(32,24,28)s(32,16,20)s(24,48,12)s(16,16,20)+--
t(16,56,12)c(32,40,12)+c(32,24,12)-c(24,40,20)*
t(48,24,12)t(24,24,20)+t(32,24,20)s(16,40,20)-+
s(16,16,12)s(32,40,28)t(32,48,28)s(48,40,20)-*+
c(24,40,20)t(24,40,28)*s(24,8,12)s(16,40,20)++
c(16,24,12)s(24,24,28)s(40,8,12)-s(32,24,20)*+
s(48,48,20)s(16,8,12)s(16,32,20)++s(32,24,28)*
s(8,32,12)t(32,40,28)s(32,32,28)*+t(40,24,20)-
s(24,48,20)c(32,40,20)t(24,24,12)-*t(48,56,12)+
t(24,32,28)c(24,16,12)s(40,32,20)+s(48,32,12)-*
s(24,40,20)c(32,24,20)c(16,48,12)s(32,8,12)+--
s(48,24,20)s(48,32,20)s(24,40,20)-c(24,32,12)+*
s(24,48,20)t(40,24,20)c(40,48,12)s(40,24,12)++-
s(40,48,20)t(24,16,12)t(24,40,20)++s(48,48,12)-
c(48,32,12)t(24,40,28)+t(32,40,28)*t(24,40,12)-
s(40,24,12)c(32,24,20)s(32,24,28)c(48,16,12)-*+
t(48,24,12)c(40,48,12)t(24,40,20)++c(40,32,12)-
s(32,40,28)s(24,24,12)-s(48,16,20)+c(32,48,12)-
c(16,40,12)c(24,24,20)t(32,48,28)-c(32,40,20)-+
c(40,40,20)s(40,24,28)-t(24,32,28)t(32,24,20)++
t(24,40,20)s(40,16,12)+t(40,32,20)c(32,24,20)*-
s(24,32,20)c(32,24,20)s(24,48,12)+*c(16,16,12)+
s(40,32,28)s(32,32,28)t(32,40,28)**s(24,32,20)*
s(24,32,28)c(32,32,12)-t(40,24,12)c(32,48,12)+-
s(8,48,12)t(24,24,20)t(16,32,12)+s(8,40,12)-+
t(16,16,12)t(24,40,28)+t(24,40,20)s(32,32,12)+-
s(40,40,20)s(24,24,20)t(32,32,28)*-t(48,40,12)-
s(24,32,28)t(40,48,20)+s(40,32,20)s(32,24,20)**
s(32,24,28)s(40,32,20)t(32,40,28)*c(40,24,12)+-
c(40,32,20)s(40,24,12)-t(40,32,20)s(16,16,20)+*
s(40,24,20)c(32,40,20)s(24,40,20)*-s(32,48,12)+
t(32,48,28)s(40,40,20)-s(40,40,28)s(24,48,20)--
s(40,40,20)s(40,40,28)t(24,32,28)*s(48,48,12)+*
s(24,40,20)s(24,40,28)c(40,24,20)*-t(40,40,20)+
s(32,24,20)s(32,40,12)-s(48,8,12)s(32,40,28)+*
c(32,32,28)s(16,8,12)t(48,40,12)+-t(40,48,20)*
s(32,24,28)s(40,24,28)s(24,16,20)-+c(40,40,12)-
c(40,32,12)s(24,16,12)+c(40,32,20)*s(24,40,20)+
s(48,16,20)s(24,24,28)c(32,24,12)s(40,32,20)+*-
s(32,24,20)t(32,40,28)-s(24,24,28)t(32,24,20)-+
c(32,24,20)t(16,32,12)-s(32,40,20)s(40,32,20)*-
s(48,16,20)s(24,40,28)t(32,24,20)s(32,40,20)+++
s(24,40,20)s(40,40,28)+c(32,16,12)s(24,40,12)+*
t(24,48,28)t(24,32,12)c(40,24,12)+-s(32,48,20)*
s(32,32,12)s(40,32,20)c(16,16,12)+t(32,48,20)-+
s(48,40,12)s(40,16,20)+c(24,40,20)s(32,40,20)*-
s(24,40,28)s(16,40,20)s(40,40,28)--t(24,32,28)*
c(32,40,20)c(40,32,20)c(40,24,20)**c(32,24,20)*
s(32,24,12)c(48,16,12)+t(48,56,12)c(32,32,20)++
s(8,40,12)t(32,48,28)s(24,24,20)++c(32,32,20)*
s(32,24,28)s(16,32,20)c(32,48,12)+*t(24,40,28)*
c(32,40,20)t(32,32,28)t(16,24,12)+*c(24,24,20)*
s(32,24,28)s(40,40,28)s(32,32,28)**s(24,32,20)+
s(32,40,28)c(40,48,12)-t(24,40,28)*t(24,56,12)-
c(40,40,20)s(48,40,12)c(24,32,20)t(32,24,20)-+*
s(8,32,12)s(32,32,28)s(40,48,20)++s(24,40,28)+
t(32,56,12)s(48,32,12)+s(40,40,12)-c(40,32,12)+
c(40,24,20)s(24,48,20)-s(40,8,12)-t(40,24,20)*
t(32,40,28)c(24,24,20)s(24,16,20)s(48,16,20)--+
s(48,8,12)t(24,48,28)c(24,40,20)*+s(32,48,20)*
t(24,56,12)s(32,40,12)t(16,40,12)++s(16,48,20)+
c(40,32,20)s(32,16,20)c(32,16,12)c(32,48,12)+*-
t(40,32,20)s(48,48,12)+s(40,16,12)s(16,8,12)+-
s(16,24,20)t(16,40,12)+s(40,32,20)t(40,24,12)--
t(48,24,12)t(40,32,12)t(16,24,12)+s(24,16,20)++
t(32,32,28)c(24,32,20)*s(16,40,20)c(32,40,20)*-
t(48,24,12)t(24,24,12)+t(32,40,28)+s(24,40,28)*
s(32,24,28)t(32,40,28)s(24,40,28)s(24,32,20)--*
c(32,48,12)t(24,32,20)+t(40,40,20)c(16,32,12)+*
c(32,32,20)c(48,32,12)-c(40,32,20)s(40,24,12)-*
t(40,56,12)s(32,40,20)+t(24,32,28)s(16,40,20)*-
c(40,32,20)t(48,16,12)-s(24,40,28)s(40,40,28)*-
t(24,40,20)s(48,48,20)c(48,32,12)--s(40,40,28)+
s(40,40,28)t(24,48,28)c(32,32,28)**s(48,40,20)-
t(32,40,20)c(16,32,12)+s(24,24,28)*t(16,24,12)-
c(40,32,20)s(48,48,12)t(24,32,12)+-t(40,24,20)-
s(40,24,20)c(24,40,20)+s(32,48,12)-c(40,40,20)*
s(48,24,20)s(32,24,28)s(32,24,20)-t(32,40,12)--
c(24,24,12)s(8,40,12)s(32,24,20)s(16,16,20)-++
s(24,24,20)t(40,24,20)-s(8,8,12)s(40,32,20)+-
s(24,24,12)t(32,32,20)+c(48,16,12)s(32,32,12)+-
s(40,24,20)s(48,32,20)s(48,16,12)-+s(32,32,20)*
s(24,24,20)s(48,48,20)s(8,40,12)+s(16,16,12)++
c(32,40,20)t(24,48,20)t(32,48,28)t(48,48,12)+**
c(40,40,20)s(48,40,12)-t(32,48,28)s(32,40,20)**
s(32,16,20)s(24,24,28)c(32,16,12)t(40,16,12)+-+
s(40,24,28)s(24,8,12)-t(48,32,12)s(16,40,20)+*
c(32,40,20)s(24,16,20)c(24,24,20)+*s(32,48,12)-
c(24,16,12)s(40,32,20)t(32,48,20)-s(16,32,20)-+
s(24,24,28)c(24,40,20)-t(40,48,12)+t(32,24,20)-
c(32,40,20)c(24,24,20)*s(40,16,20)c(24,40,12)+*
s(32,48,20)s(16,32,20)-s(32,40,20)s(16,32,12)-*
t(32,32,28)s(16,16,20)s(40,32,28)+*s(24,40,20)-
s(32,40,20)c(24,32,12)s(40,24,20)c(48,48,12)++*
t(32,48,28)t(32,32,20)s(40,40,28)*t(48,32,12)-+
s(32,48,20)c(32,40,20)c(40,48,12)t(24,32,20)+**
s(40,32,20)s(40,40,20)s(40,16,12)+t(32,48,28)*-
t(24,40,28)s(40,24,20)c(40,32,12)-s(24,40,20)+*
c(24,32,20)s(32,48,20)s(16,16,20)+*s(32,32,20)*
s(24,24,20)t(32,40,28)t(24,32,20)+*s(40,48,20)-
t(24,24,20)s(24,32,20)c(16,40,12)-+t(24,40,12)-
t(48,24,12)s(24,32,20)s(32,48,20)++s(48,32,20)-
t(48,16,12)c(32,24,12)+s(40,40,20)+c(40,40,12)-
t(24,40,28)t(24,40,12)-c(40,32,12)-s(24,32,28)*
c(40,32,20)t(24,32,28)s(48,32,12)+*s(24,16,20)+
s(40,32,20)c(24,24,20)+t(32,32,12)-s(24,40,12)-
s(40,16,20)s(48,16,20)t(48,24,12)s(40,48,12)+-*
s(16,24,20)c(40,40,20)-s(32,32,20)+c(32,32,28)*
s(8,48,12)s(40,48,20)+s(32,40,20)*t(24,40,12)+
s(40,32,28)s(24,40,28)*s(32,48,12)-s(16,24,20)+
c(40,32,20)s(48,32,20)s(40,40,20)*-c(32,24,12)-
s(40,32,28)t(24,48,28)c(16,32,12)--s(48,16,20)*
c(32,48,12)t(24,32,12)s(32,40,12)t(48,56,12)+++
s(16,16,20)t(24,48,28)+t(24,32,28)*c(40,24,20)-
s(32,32,20)c(32,24,20)*s(48,40,20)+s(48,32,20)-
s(32,24,28)t(32,32,28)c(48,40,12)-*s(40,48,20)+
s(32,40,28)s(48,8,12)s(24,40,28)s(24,24,28)*+*
s(32,16,20)s(40,32,28)s(40,48,20)*+c(32,32,28)*
t(24,40,28)c(16,32,12)c(32,40,20)+t(24,48,20)*-
t(40,48,20)c(40,40,20)s(40,32,28)s(48,48,20)--+
c(24,40,20)s(16,16,20)-c(40,40,20)t(24,40,28)**
t(32,32,28)t(24,40,12)s(32,24,20)+s(16,24,20)-*
s(16,16,20)s(32,32,20)s(40,16,12)-+t(40,24,20)-
c(16,16,12)s(32,32,28)+c(40,16,12)-s(16,8,12)-
s(48,16,20)s(48,40,20)t(32,48,28)+-s(32,40,28)-
s(16,32,20)s(40,40,20)c(40,24,20)+-s(48,16,20)+
c(24,32,20)s(24,32,12)-c(32,40,20)-t(48,32,12)+
s(32,40,12)s(48,48,20)s(24,48,20)-+s(32,40,28)*
t(24,32,20)t(32,32,28)t(24,48,20)c(32,32,12)--*
s(24,24,28)c(32,32,28)*t(32,48,20)t(48,32,12)++
s(48,24,20)s(32,40,12)+c(40,32,20)s(32,48,20)*-
c(24,24,20)s(40,48,20)s(32,40,28)*-s(16,32,12)-
t(24,40,28)c(24,32,20)s(32,32,20)t(48,32,12)+**
t(40,48,20)t(32,32,20)+s(32,24,20)+c(24,32,20)*
s(48,48,20)s(24,32,28)-c(32,32,12)+t(40,56,12)-
s(40,32,28)t(32,32,28)t(32,40,20)+t(32,40,28)+*
t(32,40,28)c(32,40,20)t(40,32,20)c(48,16,12)--*
s(32,40,20)c(32,32,20)s(8,40,12)+c(40,32,20)--
s(32,32,20)c(40,32,20)s(48,48,20)t(24,24,20)+*+
t(24,48,28)c(32,32,20)s(48,40,12)-c(40,16,12)--
s(24,32,28)t(40,24,20)-c(24,40,20)*s(24,24,28)*
t(32,40,12)c(16,32,12)c(40,48,12)++s(24,16,12)+
t(32,48,20)s(24,48,20)c(40,40,20)*c(48,48,12)+*
s(24,48,12)s(32,40,20)s(24,48,20)-s(40,48,12)++
t(24,40,28)s(32,32,28)t(40,32,20)--t(24,40,20)+
c(24,40,20)s(48,24,20)-s(16,24,20)t(32,16,12)+-
c(32,40,20)t(24,48,12)t(24,24,20)+*c(24,16,12)-
s(32,16,20)t(16,32,12)s(40,24,20)c(32,32,12)-+-
c(40,48,12)s(16,40,20)s(24,48,20)++c(16,24,12)-
s(40,24,28)t(16,32,12)+t(32,32,28)-t(32,40,20)+
s(40,40,20)s(40,40,20)t(40,48,20)-s(16,24,20)+*
s(16,40,20)c(24,24,12)-t(16,56,12)+c(24,40,12)-
s(24,48,20)s(16,48,20)+c(40,40,20)s(32,24,28)*-
s(32,32,28)s(48,24,20)c(24,32,12)+s(40,16,12)-*
s(24,32,20)t(16,16,12)t(32,56,12)++c(32,40,12)-
s(32,24,20)c(32,32,20)+s(24,40,12)-t(32,32,28)+
t(32,40,20)c(40,16,12)s(32,32,20)+s(48,16,12)-*
s(16,48,12)s(24,32,28)s(24,8,12)t(32,24,20)+*+
c(32,24,20)s(32,48,20)t(40,48,20)*+s(40,24,28)*
s(48,40,20)c(32,32,20)s(32,24,20)*+s(24,16,12)-
c(32,40,20)s(16,48,20)-s(40,40,28)c(40,24,20)**
s(8,24,12)s(40,40,28)+s(16,16,20)c(24,24,20)*-
s(32,32,28)c(40,40,20)c(32,48,12)-*s(48,48,12)-
c(32,40,20)s(48,24,20)t(32,32,28)-+s(32,32,12)-
c(24,16,12)s(48,16,12)+c(40,32,20)c(40,24,20)*-
t(32,48,28)s(16,32,12)c(40,32,12)++s(16,24,12)-
s(24,24,28)s(24,32,28)c(40,32,20)s(24,48,12)+--
s(32,48,12)t(24,48,12)+s(8,24,12)t(24,40,20)++
s(32,48,20)c(32,32,12)-t(32,32,28)t(24,32,28)*-
s(32,40,28)s(24,32,28)*s(32,40,20)*s(40,24,28)*
c(32,24,20)s(32,32,20)s(16,16,20)-s(24,32,12)--
s(32,32,28)t(40,40,20)-s(24,40,28)s(32,24,28)**
c(32,24,12)c(40,40,12)+t(48,24,12)+t(32,24,20)*
s(16,32,20)s(24,16,20)s(16,16,20)*t(40,32,20)+-
t(24,24,12)s(40,32,20)s(48,24,12)t(16,32,12)+-+
s(16,16,12)s(48,48,20)c(48,48,12)c(32,32,20)+*+
c(24,40,20)t(32,56,12)-s(16,32,20)t(32,48,20)+*
t(24,40,28)c(32,32,20)s(32,48,20)+*t(24,32,20)*
s(40,48,20)t(32,48,28)t(32,40,28)t(24,48,20)+**
s(24,24,28)s(48,32,20)s(24,24,12)s(48,48,12)+--
t(40,48,20)s(40,16,12)+c(40,48,12)s(32,24,12)+*
t(32,24,20)t(16,16,12)+t(24,24,20)t(32,32,28)+*
s(48,48,12)c(40,32,12)+s(32,40,28)c(24,48,12)-*
s(24,16,20)c(32,24,12)-s(48,24,12)+s(32,24,28)*
s(40,16,20)t(32,40,28)+s(32,32,20)s(40,16,12)-*
t(24,32,12)c(32,32,20)s(24,32,20)s(24,40,20)*-+
c(40,32,20)s(32,16,20)s(16,24,20)t(32,24,12)+--
t(32,32,28)s(24,16,20)s(48,16,20)+t(24,40,28)+*
t(32,40,20)c(40,32,20)t(32,48,20)s(32,32,28)+**
t(40,40,20)c(24,24,20)c(32,16,12)-s(32,40,20)-+
c(40,40,20)c(24,24,12)c(24,24,20)s(40,24,20)*+-
c(32,24,20)s(32,24,20)s(24,32,28)*t(24,32,28)*-
s(8,8,12)t(40,48,20)+s(40,24,12)+c(16,16,12)-
s(24,24,28)t(32,40,28)*s(24,24,20)s(16,48,20)+*
c(40,48,12)s(32,48,12)+c(16,40,12)c(32,48,12)++
c(32,40,20)s(32,8,12)+c(24,48,12)-s(48,48,12)-
t(32,32,28)t(24,40,28)c(24,24,20)s(32,24,12)-++
c(32,40,20)t(24,32,20)-t(40,40,20)c(40,24,12)+*
t(40,24,20)s(40,32,20)+t(24,48,20)s(48,48,20)++
c(40,40,20)c(40,32,12)t(24,40,28)+s(24,24,20)*-
t(48,56,12)s(40,24,28)+s(40,48,20)*s(48,48,20)*
s(24,48,20)t(40,40,20)+c(24,32,20)*s(16,24,20)-
s(24,24,28)c(24,32,20)*c(32,16,12)-c(32,40,20)*
s(40,48,20)s(16,40,20)s(24,40,28)c(24,32,20)**-
s(32,40,28)t(24,48,20)t(32,48,28)*-c(40,24,12)-
s(24,24,28)s(40,24,20)*s(32,40,12)-t(24,40,12)+
s(16,40,12)c(40,40,12)+c(32,40,20)c(24,40,20)**
s(40,40,12)s(40,40,28)s(24,24,28)*+c(32,24,20)*
t(40,40,20)s(16,16,20)+c(48,32,12)-s(40,24,28)-
c(40,32,20)s(32,24,20)*s(40,32,28)t(24,48,28)-+
s(32,40,28)s(40,40,20)s(40,24,12)s(16,48,12)++*
t(24,48,20)s(32,32,20)s(24,24,20)*+t(24,40,12)-
s(24,24,28)c(24,32,20)*c(32,40,20)+c(40,32,12)-
c(32,40,20)c(24,40,20)*s(40,40,20)*t(24,32,12)+
s(24,16,20)s(48,24,20)+c(32,40,20)+c(40,40,12)-
s(40,40,20)s(24,24,12)c(40,32,20)s(24,16,20)-++
s(24,24,28)t(40,16,12)c(48,32,12)+-c(48,40,12)+
t(48,56,12)c(32,32,20)s(40,16,20)*+s(40,8,12)+
s(32,32,28)t(32,24,20)-s(48,32,20)s(40,24,20)*+
s(24,40,20)t(16,56,12)+s(16,48,12)-s(16,48,12)+
s(32,40,28)s(24,48,20)s(16,40,20)*s(24,24,28)+*
s(40,24,28)s(48,40,20)t(40,32,20)-c(40,24,12)+-
s(40,32,20)t(24,32,28)*t(24,48,20)+s(48,48,20)-
c(32,32,28)t(24,40,28)-s(16,8,12)c(40,48,12)+-
s(48,48,12)c(40,40,20)s(40,48,20)-+t(40,32,20)-
s(24,32,20)t(32,48,28)c(24,40,20)s(48,32,20)-+*
s(32,24,20)c(24,40,20)t(24,48,28)s(24,32,20)-+-
s(8,32,12)c(40,32,12)+s(32,32,28)c(32,24,20)--
s(24,48,20)s(16,48,20)s(32,32,28)-t(40,40,20)+*
s(40,8,12)s(32,24,20)+s(24,16,20)s(32,24,12)--
s(16,32,12)s(16,32,20)s(24,24,20)-+t(24,32,28)+
s(48,32,20)s(40,32,28)t(48,56,12)+c(40,24,20)**
s(24,32,12)s(48,16,20)s(40,16,20)s(24,16,20)+*+
s(24,40,28)c(40,32,20)c(24,24,20)s(48,16,12)+*+
c(24,24,12)s(40,40,28)t(24,40,12)-s(32,16,20)-+
s(16,40,20)t(40,48,20)+s(40,40,28)s(40,32,28)*-
c(24,24,20)s(8,16,12)+c(32,24,20)c(32,40,12)-*
c(32,24,20)t(32,48,20)-c(40,32,20)t(24,24,20)--
s(24,24,28)s(24,32,28)s(32,40,20)s(32,32,20)*-*
t(48,16,12)s(16,32,12)s(16,16,20)+t(24,32,28)-+
c(24,24,20)c(32,40,20)t(24,32,28)+s(32,24,20)--
t(32,32,28)t(24,32,12)c(24,16,12)++s(16,32,12)-
t(24,32,28)t(24,48,20)+s(24,48,20)s(8,40,12)-*
c(40,40,20)c(24,24,12)-t(32,40,20)+s(48,32,20)-
s(8,32,12)c(24,32,20)s(24,24,20)-+s(32,40,28)*
t(24,48,28)s(48,32,12)+c(40,32,20)s(32,40,28)**
t(32,24,20)t(24,40,28)+c(24,40,12)s(8,8,12)+-
s(32,24,28)s(8,8,12)t(24,48,28)s(48,24,12)++-
s(40,32,28)s(32,32,28)*c(24,40,20)c(40,32,12)-*
t(24,40,20)c(32,48,12)+s(32,32,20)c(48,40,12)+*
s(16,24,12)c(40,40,20)+t(24,48,28)-s(48,48,12)-
s(32,32,20)t(40,32,12)-s(32,24,12)-s(48,8,12)+
c(16,40,12)c(40,40,20)s(8,24,12)+s(32,48,12)-+
s(40,40,20)t(24,24,20)c(40,32,20)+c(40,40,12)--
s(32,24,28)s(40,24,28)+s(24,40,28)s(40,32,12)-*
s(24,24,28)s(40,32,12)c(24,32,12)+*c(48,32,12)-
c(32,40,20)s(24,40,20)*c(24,32,12)s(32,32,12)+*
s(40,40,28)t(32,48,20)s(32,24,28)s(24,24,28)++*
t(16,32,12)s(40,32,28)s(40,16,12)t(24,48,28)+*+
s(40,40,28)s(32,40,12)c(32,16,12)++s(48,48,20)-
s(24,32,20)s(32,32,12)-s(32,48,20)t(32,40,20)*-
c(32,32,28)s(40,40,28)s(8,40,12)+t(32,48,28)-*
t(32,48,28)s(40,8,12)t(32,48,20)+c(24,24,20)--
t(40,24,20)s(24,32,28)s(16,40,20)-s(40,16,20)+*
s(8,32,12)t(24,48,28)t(24,48,12)-t(40,48,12)-+
t(24,48,28)s(48,8,12)s(32,40,12)+c(24,40,12)+-
s(40,24,20)c(48,48,12)s(32,32,28)+*t(40,24,12)-
t(24,32,28)s(48,32,20)c(24,24,12)+*t(24,24,20)*
s(40,16,20)s(48,32,20)-s(48,16,12)c(40,48,12)+-
t(32,32,28)t(24,32,28)c(40,24,12)-s(16,40,12)--
c(32,24,20)s(32,16,12)c(16,48,12)+s(24,48,20)++
s(32,40,28)s(48,48,12)s(24,40,12)+-s(32,32,20)*
s(8,24,12)s(48,24,20)t(24,32,12)+s(40,40,28)*+
s(32,40,28)c(32,24,12)-s(16,48,20)s(48,48,12)+-
s(8,8,12)s(24,24,20)s(24,40,12)+s(40,48,20)-+
s(48,16,20)s(24,16,20)s(40,24,28)*-s(40,48,20)+
c(24,24,12)s(40,16,20)s(16,24,20)-+c(48,16,12)-
s(40,32,20)c(32,24,20)s(24,40,20)s(48,8,12)+*-
s(32,32,12)s(40,8,12)t(32,16,12)++t(24,40,28)-
c(40,24,20)s(40,16,20)c(48,24,12)-*s(32,32,20)+
t(32,32,28)c(40,32,12)t(32,40,12)+s(16,16,20)+*
s(24,40,28)s(32,48,20)c(32,40,12)--t(32,48,28)*
s(32,8,12)s(24,16,12)s(32,40,20)+c(32,40,12)-+
s(24,32,20)t(48,32,12)s(16,16,20)+s(32,24,20)+*
s(32,24,12)c(32,32,20)s(40,24,20)c(40,16,12)--+
s(24,32,20)t(16,24,12)s(16,8,12)c(32,40,12)++-
s(24,24,20)s(32,48,20)s(16,32,12)+-s(32,24,20)*
s(40,8,12)s(32,40,28)t(32,24,20)-s(16,8,12)++
s(32,16,20)s(24,24,28)c(24,40,20)s(32,24,20)*-+
c(32,32,28)s(32,40,20)c(40,32,20)*s(40,24,20)+-
s(48,40,12)c(32,32,20)+c(40,40,20)*c(48,40,12)-
t(48,48,12)s(16,40,20)+s(48,32,20)+t(32,40,28)-
s(16,40,12)t(40,56,12)+s(8,48,12)-t(32,40,28)+
t(32,40,28)c(24,40,20)t(24,40,28)s(32,48,20)+*+
t(32,40,28)s(40,48,20)+c(32,24,12)+s(24,40,20)*
t(24,48,28)s(32,32,28)-s(32,32,28)+s(16,32,20)-
s(24,32,28)c(32,32,20)*s(16,32,20)s(24,24,28)**
s(40,24,28)s(24,8,12)-s(24,32,20)*c(24,40,20)*
s(40,16,20)c(40,24,20)+c(40,32,20)*s(48,16,20)-
s(32,40,20)s(40,48,20)t(24,40,28)c(24,32,20)*--
s(40,48,20)c(24,48,12)-t(40,32,12)-s(40,48,12)+
c(32,32,28)s(48,32,12)t(48,16,12)+t(40,56,12)+*
s(32,24,20)s(32,24,28)t(32,32,28)s(24,24,12)-**
s(32,24,28)c(48,32,12)-s(40,24,20)*s(48,40,20)-
s(40,32,28)t(32,32,28)s(24,8,12)+t(32,48,28)-*
t(32,16,12)t(32,48,28)+s(32,32,20)s(40,24,20)*-
s(40,24,20)s(48,40,20)s(32,32,28)+c(24,32,12)-*
s(40,32,28)s(16,40,20)s(16,24,20)*+c(40,48,12)-
s(40,40,20)t(32,40,28)s(24,24,28)t(16,32,12)-+*
c(16,32,12)t(24,24,12)c(32,24,20)s(16,40,20)-++
s(24,32,28)s(48,24,20)c(32,32,20)c(24,40,12)-+*
t(32,32,12)t(48,48,12)s(48,16,12)++c(16,48,12)+
c(24,24,20)s(32,24,28)*s(24,32,20)s(16,24,20)-+
s(32,32,20)c(24,40,20)t(24,32,20)--s(40,16,12)-
s(32,40,28)s(48,16,20)c(40,32,12)+t(32,32,28)+*
s(32,40,12)c(24,24,12)+s(32,8,12)+c(24,40,12)-
c(32,40,20)s(40,24,28)s(24,24,28)*s(32,16,20)+*
s(8,32,12)s(40,24,20)s(24,40,20)+s(32,40,28)*+
s(16,32,12)c(16,48,12)+s(40,32,28)t(24,24,20)++
t(40,48,20)s(48,48,20)c(40,48,12)t(16,24,12)+--
s(32,48,20)t(24,56,12)s(32,32,20)+t(48,48,12)+*
s(16,24,20)s(48,24,20)c(40,32,20)*+s(40,32,20)*
s(24,40,28)t(32,48,28)c(24,32,20)s(32,32,20)*-*
c(40,24,20)s(40,32,28)+s(40,8,12)c(32,24,20)+*
s(24,24,28)s(40,32,28)c(32,32,20)**t(32,32,20)*
s(24,40,28)c(40,40,20)*s(40,48,20)s(24,32,12)+*
s(32,24,28)t(48,16,12)-s(24,40,20)*c(32,48,12)-
t(32,40,20)t(32,40,28)s(40,24,20)s(40,16,20)*-*
s(8,48,12)c(48,16,12)+s(32,24,20)-c(32,32,20)+
s(40,40,28)t(24,48,28)*s(32,40,20)*t(16,24,12)+
s(32,48,20)t(24,40,28)*t(40,56,12)c(24,24,12)+-
t(32,32,28)s(24,16,20)c(24,32,20)s(24,24,20)**-
c(40,32,12)s(24,32,20)s(24,48,20)*+t(40,32,20)*
s(16,32,20)t(32,40,12)t(16,16,12)+-c(40,24,20)-
t(48,56,12)s(24,24,20)+c(40,24,12)-c(32,32,28)*
t(32,24,20)c(40,32,20)s(32,40,28)*s(40,16,20)--
s(16,48,12)s(24,24,20)s(24,16,20)t(24,32,28)-++
t(24,48,28)c(32,32,20)s(48,24,20)s(16,24,12)+-*
s(24,40,20)s(32,32,20)t(32,16,12)-t(48,40,12)-*
c(24,24,20)t(32,32,28)t(32,40,28)**c(40,32,12)+
c(40,24,12)s(16,24,12)+s(24,48,20)+s(32,32,12)-
s(24,16,20)t(32,48,28)+s(32,40,20)t(32,32,28)**
c(24,32,20)c(40,40,20)*s(24,24,28)s(32,40,28)**
c(24,48,12)t(40,40,12)+c(48,24,12)+c(24,32,20)+
s(40,32,28)s(32,32,28)s(32,24,20)--s(48,16,20)*
s(40,24,28)s(8,24,12)t(32,16,12)++t(32,40,20)+
s(48,24,20)s(32,48,12)c(24,32,20)s(40,40,20)*++
s(40,40,20)s(8,24,12)+t(24,32,28)+t(32,32,20)-
s(24,16,20)s(32,40,20)c(24,48,12)+s(32,24,20)*-
t(32,16,12)s(48,40,20)s(48,48,12)-s(40,24,28)*+
c(40,24,20)c(16,16,12)+t(48,16,12)-c(24,24,12)-
s(40,48,20)t(32,48,12)-s(32,48,12)+s(40,40,12)-
t(32,40,28)s(24,32,28)s(24,48,12)-+t(32,48,28)*
s(24,24,28)t(32,40,28)c(24,16,12)t(32,48,12)+-+
s(16,40,20)s(32,32,12)-s(32,48,20)+s(32,24,28)*
t(48,56,12)c(24,48,12)+c(24,40,20)s(32,8,12)+*
c(24,40,20)s(32,24,20)c(32,32,20)t(24,48,20)++*
c(16,16,12)s(16,48,20)t(32,40,20)-+t(24,32,20)-
c(40,40,20)c(48,40,12)-s(40,32,12)+s(48,24,12)-
s(8,40,12)s(48,48,20)s(24,32,28)c(40,40,20)*-+
t(32,24,20)t(32,40,12)+s(32,24,28)s(24,16,20)--
t(40,32,20)s(32,16,12)+s(16,16,20)-s(32,32,20)*
c(16,48,12)s(40,40,20)t(24,32,20)+t(24,40,20)*+
t(32,40,28)c(24,40,20)c(48,48,12)c(32,24,12)+-*
t(24,32,28)s(16,32,20)*c(32,32,20)t(24,24,20)*+
s(24,8,12)c(24,32,20)c(40,32,20)s(48,40,20)+*+
c(32,40,20)c(32,32,20)s(40,40,28)**t(32,32,12)-
s(32,40,20)s(32,40,28)s(48,40,12)-+t(40,32,20)*
s(48,48,20)s(24,32,28)s(32,32,20)c(16,24,12)-*-
t(24,32,28)t(32,48,28)s(24,32,28)s(32,16,20)-*+
t(48,56,12)s(32,48,20)s(48,48,20)c(32,24,20)--+
t(40,56,12)t(24,48,20)+t(24,40,20)t(32,32,28)*-
s(32,32,12)s(32,24,20)t(32,48,28)-+c(24,24,20)*
s(16,40,20)c(24,24,12)-s(24,24,12)+c(24,24,20)-
s(8,32,12)s(24,32,20)+s(24,24,12)-t(32,32,12)-
s(40,40,20)t(32,16,12)t(24,32,12)+t(40,32,12)+-
t(40,24,20)c(24,24,20)+s(8,32,12)c(32,24,12)+-
s(32,16,20)t(24,40,12)+s(24,48,20)+s(40,24,20)*
c(24,40,20)c(40,24,12)t(32,48,20)t(24,40,28)*+*
s(32,32,20)s(32,40,20)+t(24,40,28)t(32,48,20)*-
c(32,24,20)s(32,32,28)t(48,48,12)c(24,32,12)+*-
s(24,24,20)s(32,40,12)s(16,48,20)+c(40,16,12)+-
s(40,32,28)s(32,24,28)*t(24,48,28)s(8,16,12)+-
c(24,24,20)s(32,48,20)s(40,24,20)+*s(40,8,12)-
s(40,40,28)t(24,48,28)*s(48,24,20)c(32,24,20)*+
s(16,48,20)t(32,40,28)t(24,48,12)--s(16,32,12)-
s(48,40,20)s(32,40,28)+s(32,48,20)s(32,32,20)--
c(48,40,12)s(32,40,28)c(40,24,12)-c(32,40,20)*+
s(48,40,20)s(24,40,20)c(24,48,12)t(24,24,12)+*+
c(24,40,20)t(16,16,12)+s(40,48,12)-s(40,32,20)+
t(16,40,12)c(32,40,20)t(24,40,20)-s(40,40,20)*+
t(32,48,28)s(24,40,20)t(24,32,20)-+t(32,24,20)-
c(40,16,12)s(24,8,12)c(48,24,12)+c(32,32,28)*+
s(40,16,20)s(24,32,28)s(8,16,12)s(48,8,12)++*
t(24,32,28)s(32,32,28)*t(24,40,28)+c(16,48,12)-
s(32,24,28)s(16,32,20)s(32,48,20)c(24,40,12)++*
t(24,32,28)t(40,32,20)+s(32,16,20)s(16,8,12)--
t(32,40,20)t(32,32,20)t(24,32,20)+s(40,16,20)-+
c(32,24,20)t(24,40,20)s(40,40,28)c(32,24,20)+*+
c(24,40,20)t(32,24,12)-t(24,24,12)s(40,40,20)+*
s(24,40,28)s(48,48,12)+s(32,24,28)s(40,32,20)**
s(24,16,20)t(48,32,12)+t(40,56,12)t(32,24,20)+-
t(48,56,12)t(24,48,20)t(24,48,28)t(24,32,20)-*+
t(32,40,28)s(24,48,20)*s(32,40,20)s(24,24,12)-*
s(32,24,28)s(24,24,12)-s(40,32,28)s(8,40,12)+-
s(24,24,28)t(32,24,20)s(40,24,20)+-t(40,32,12)+
s(24,24,20)s(40,32,28)t(32,48,28)*-t(32,40,20)+
c(24,32,20)t(24,32,12)t(40,40,20)s(24,24,20)-+*
s(40,32,28)s(48,24,20)*t(24,56,12)+t(32,32,20)-
t(32,32,28)s(16,32,12)+s(24,8,12)s(16,40,12)+-
s(24,40,20)t(24,40,12)s(16,16,12)+t(32,48,28)+*
c(40,32,12)c(24,24,20)+s(32,32,12)c(48,24,12)+*
c(40,40,12)t(40,24,20)+c(24,24,20)s(32,32,28)*-
c(24,24,12)s(32,48,20)t(32,40,12)-+t(24,48,28)*
s(24,40,28)t(32,40,28)t(32,16,12)+-t(24,40,28)-
t(32,24,20)c(40,40,12)t(16,32,12)++s(40,40,28)*
s(24,48,20)c(48,32,12)s(24,32,28)+*s(48,24,20)+
s(24,32,28)s(16,40,20)t(32,48,12)+t(32,40,28)**
s(32,32,20)c(32,32,28)s(40,32,28)-s(32,32,28)-+
c(40,24,20)s(24,24,28)*t(32,32,28)t(24,40,28)+*
s(16,32,12)s(40,48,20)s(32,32,28)s(16,24,12)-*+
s(32,40,20)s(40,48,20)t(40,40,20)++t(40,32,20)-
t(40,24,20)s(32,40,28)t(32,40,28)-t(24,40,28)-+
t(32,48,28)s(40,40,20)-s(32,48,20)t(24,48,28)*+
s(32,16,20)s(24,16,20)c(40,24,12)+*s(24,8,12)-
c(48,32,12)c(48,24,12)+c(16,32,12)c(32,48,12)++
s(32,24,28)s(32,48,20)s(32,32,20)*-s(24,16,20)*
s(40,32,20)s(8,24,12)t(40,16,12)++t(40,40,12)-
t(24,16,12)t(16,16,12)s(24,40,12)++c(32,16,12)-
c(40,40,20)s(48,24,12)s(32,32,20)+*s(24,40,28)*
s(24,32,20)s(32,8,12)+t(32,56,12)t(40,40,20)++
s(24,24,28)c(32,32,20)s(32,24,28)*c(16,16,12)-*
t(40,40,20)t(48,24,12)s(48,40,12)++s(32,16,20)+
c(32,24,20)s(32,40,20)-t(24,40,28)-t(32,40,28)+
s(40,40,28)s(24,32,12)t(40,40,20)+t(32,40,12)-*
s(40,24,28)t(24,40,12)s(40,8,12)+-s(16,32,20)-
s(40,24,20)s(24,32,12)-s(16,32,20)+s(24,16,12)-
s(16,40,20)t(32,32,12)+t(24,40,28)s(16,32,12)-*
s(32,32,28)t(32,24,20)-t(32,32,20)c(32,16,12)--
s(32,24,20)s(24,24,28)s(32,40,12)-*t(32,16,12)-
s(16,24,12)t(32,32,20)+s(32,40,28)t(24,48,20)-+
s(40,32,28)s(24,16,12)-s(40,48,12)-s(24,32,28)-
s(24,24,28)s(24,32,28)*t(24,24,12)-c(40,32,20)*
c(32,32,20)s(48,40,12)-s(16,40,12)+s(32,16,20)*
s(32,24,20)s(48,32,20)+s(32,16,20)+c(32,32,28)*
s(48,40,20)s(48,48,20)*s(40,32,28)s(32,40,20)+*
c(40,24,20)c(32,40,12)t(24,56,12)++s(24,24,28)-
t(32,40,20)t(40,48,12)s(8,48,12)++c(32,16,12)+
s(48,40,20)c(24,32,20)s(24,40,12)--c(40,24,20)-
s(24,24,28)s(24,40,28)s(32,16,12)t(40,48,20)+-*
t(32,16,12)c(48,48,12)+s(24,24,20)c(16,24,12)--
c(48,16,12)s(40,16,20)t(24,16,12)+s(32,24,20)-+
t(32,48,28)s(16,48,20)+t(24,40,28)t(40,40,12)+*
s(8,40,12)c(32,24,20)s(24,8,12)-s(48,40,20)-+
s(32,32,28)s(40,16,20)s(24,40,28)-s(40,24,12)+*
s(40,24,28)s(32,40,12)-s(24,8,12)-c(32,32,20)*
t(24,32,28)s(40,48,12)-c(24,40,20)t(32,48,12)-*
s(32,40,20)t(32,32,20)+s(40,40,20)*s(24,24,12)+
s(40,24,28)s(48,48,20)c(32,32,12)--s(16,32,20)-
t(32,48,20)s(48,40,12)c(24,40,20)+s(16,40,12)-*
s(48,40,20)t(24,24,20)s(32,24,20)*s(40,32,20)+*
c(48,32,12)s(24,40,20)s(24,32,20)++s(48,24,20)-
t(40,16,12)c(24,48,12)s(48,48,20)++c(48,40,12)-
c(48,40,12)s(24,24,12)+c(48,16,12)+s(32,32,12)-
s(40,48,20)s(40,16,12)t(32,32,28)++t(24,48,28)*
s(48,24,20)c(40,32,20)c(32,32,20)s(16,40,20)+*-
c(32,32,28)s(16,32,20)s(24,24,28)s(32,16,20)-+*
t(24,32,28)c(24,40,20)s(40,40,28)+t(40,40,20)--
c(48,32,12)s(16,24,20)+s(16,32,20)s(24,48,20)-*
s(32,32,28)t(32,48,28)t(16,40,12)+s(8,32,12)+*
t(32,32,28)t(40,32,20)*c(24,40,12)+t(24,48,28)*
s(24,24,20)c(24,32,20)c(24,48,12)-*t(40,24,12)-
s(48,40,20)c(24,16,12)+t(24,40,28)+t(32,24,20)*
c(32,32,28)s(48,40,20)c(32,32,20)+t(24,48,28)-*
t(32,24,20)c(24,32,12)+c(24,24,20)c(24,40,20)**
s(24,16,20)s(32,40,20)s(24,24,20)+*c(40,32,12)-
s(32,40,28)s(24,48,20)t(32,32,20)-s(48,40,20)-+
t(32,32,28)s(40,40,20)+t(48,32,12)-c(24,24,20)-
t(40,32,20)s(24,32,20)t(16,40,12)s(32,40,12)+*+
s(32,48,20)c(24,32,20)s(32,40,28)**t(24,56,12)+
s(48,48,20)s(40,16,12)t(24,40,28)+s(40,16,20)--
c(24,24,20)s(24,40,28)s(32,40,28)**c(48,24,12)-
c(32,32,12)s(24,40,20)c(32,32,20)*+t(24,48,28)*
c(24,24,20)c(32,40,20)+s(16,24,20)*t(24,48,20)-
c(24,24,20)c(32,40,20)s(24,32,28)*t(24,48,20)+*
t(16,48,12)s(24,32,20)s(8,40,12)+s(24,40,28)*+
c(48,24,12)t(40,40,20)t(32,32,28)*+t(32,40,20)-
t(32,32,28)s(32,32,28)c(32,32,12)-s(8,40,12)+-
s(40,16,20)t(40,48,12)c(48,24,12)+s(32,32,28)*-
s(24,48,20)s(40,40,28)*s(32,16,20)c(40,32,20)-+
c(32,40,20)s(48,32,12)-s(48,24,20)c(32,32,20)+*
s(32,40,28)c(40,32,20)-s(40,32,28)-t(16,40,12)-
s(24,24,28)c(16,48,12)+c(32,32,28)s(40,24,12)--
s(40,24,20)s(32,24,28)s(40,32,28)*t(32,16,12)-*
s(24,48,20)s(40,48,20)+c(32,32,12)-c(24,40,12)+
s(32,16,20)t(16,48,12)+s(48,32,20)-c(32,32,28)*
s(32,40,20)t(32,32,28)c(32,32,20)**t(24,48,20)-
c(32,32,28)s(16,48,12)-s(48,24,20)-s(24,40,20)*
s(32,40,28)t(16,16,12)s(32,32,20)+t(32,32,28)*-
s(40,40,20)s(32,40,28)s(40,40,20)s(48,40,20)+-+
s(24,40,28)s(24,32,20)-s(32,48,20)*t(16,24,12)+
s(24,32,28)s(8,32,12)-s(32,40,20)*s(24,16,12)+
s(32,32,28)s(32,32,20)s(40,32,28)t(24,40,28)*+-
s(40,32,28)c(32,40,20)*c(32,32,28)c(24,48,12)-*
c(32,32,28)s(16,40,12)-c(24,32,20)*s(16,32,12)-
s(40,24,20)s(40,16,20)*s(16,16,20)+c(32,32,28)+
c(40,24,20)t(32,32,28)s(8,24,12)+c(16,16,12)-*
s(40,32,28)s(24,24,20)-c(40,48,12)-s(24,24,28)-
s(40,24,28)s(40,32,28)t(16,24,12)+*t(32,32,28)*
s(40,32,28)s(24,48,12)s(48,40,12)+*s(16,48,12)+
s(32,32,28)s(40,40,20)c(48,48,12)s(16,8,12)++-
s(24,32,20)t(32,48,20)-t(40,40,12)+c(24,40,20)*
c(24,32,20)c(32,24,20)c(16,40,12)-*s(8,8,12)+
c(32,32,28)t(48,24,12)t(24,32,20)+-s(40,40,28)*
s(16,40,20)c(24,32,20)*t(16,40,12)s(40,40,28)+*
c(24,48,12)c(40,32,20)t(40,32,12)-+s(40,24,28)*
c(40,24,20)s(40,24,12)c(48,16,12)t(40,40,20)++*
s(24,16,20)s(40,24,20)c(48,48,12)+s(32,24,20)+*
s(40,24,28)c(24,32,20)s(16,48,12)s(16,16,12)++-
s(24,32,28)s(24,16,12)-c(32,40,20)*c(16,24,12)-
s(48,32,20)c(48,40,12)c(32,24,20)+t(40,48,20)--
s(16,40,20)c(40,32,12)+s(40,40,20)-s(24,40,28)*
c(32,24,20)s(24,40,20)-t(32,24,12)-t(24,32,20)-
s(40,8,12)t(24,48,20)+t(24,24,20)s(32,40,12)+-
s(40,24,28)s(32,40,28)t(24,48,12)-c(32,24,20)**
s(24,32,20)c(24,48,12)s(40,24,20)+c(48,32,12)+*
s(40,32,28)t(24,32,28)t(40,56,12)+-s(40,32,20)*
s(24,24,20)c(32,24,20)s(24,32,28)s(32,16,12)-*-
c(24,32,20)s(40,40,28)*t(32,32,28)*s(40,16,20)-
c(32,16,12)c(16,48,12)+s(24,24,20)s(32,32,20)*-
c(40,32,20)s(48,40,20)t(32,40,20)-c(40,40,20)*+
s(40,24,28)c(48,40,12)-s(48,32,12)+s(24,48,20)-
s(40,24,20)t(16,56,12)+s(40,40,28)+s(32,40,28)-
s(24,40,28)c(32,32,20)*s(48,8,12)+s(40,24,28)*
t(32,32,28)s(32,24,20)s(32,40,20)*-t(16,48,12)-
s(32,40,28)c(40,24,20)c(24,24,20)c(24,32,20)*++
s(16,48,12)s(48,40,20)c(40,32,20)*+s(40,32,28)*
c(40,24,20)s(40,32,20)t(16,56,12)+*t(24,40,28)-
s(24,24,20)t(40,40,12)+s(8,32,12)t(16,56,12)++
t(24,32,28)s(40,24,20)-s(32,32,20)*c(32,40,12)+
s(40,40,28)s(48,32,20)t(16,16,12)+s(24,24,20)+*
s(40,32,20)t(32,40,28)t(16,56,12)+s(32,40,28)**
s(32,48,20)t(24,40,28)+s(48,40,20)t(24,32,20)+-
t(40,24,20)s(40,48,20)+c(32,24,20)*t(32,48,28)-
s(8,32,12)t(16,32,12)t(32,16,12)+t(48,16,12)++
t(32,32,28)c(40,32,20)*c(40,40,20)c(48,32,12)-*
t(40,48,20)s(40,24,20)+c(24,32,12)-c(48,32,12)-
c(24,40,20)s(32,48,20)s(48,8,12)+s(32,32,20)*-
s(32,16,20)s(16,40,20)s(40,16,20)+s(40,24,12)-*
s(40,32,20)t(24,32,28)s(32,48,20)c(16,48,12)---
t(40,24,12)t(32,40,28)s(40,32,20)c(24,48,12)+*+
s(40,32,20)s(8,48,12)s(32,32,28)t(24,32,28)*+-
s(24,40,12)s(40,32,28)c(24,32,20)t(24,48,20)+*+
t(40,48,12)c(40,24,20)+s(16,32,20)-t(40,24,12)-
s(32,48,20)s(24,24,20)-c(24,40,20)s(32,40,20)*+
s(48,16,12)s(16,24,20)+s(48,32,20)-s(32,16,12)+
s(32,24,20)t(32,32,28)s(48,32,20)--s(24,8,12)-
t(32,40,28)s(32,32,28)s(16,8,12)s(40,48,12)+-*
t(24,48,28)s(24,24,28)t(24,32,12)-t(32,40,28)*-
t(24,32,28)t(16,24,12)-s(24,40,12)t(32,24,12)+*
c(32,24,20)s(32,48,20)+s(24,48,12)-t(32,48,28)*
s(32,32,28)s(48,48,20)t(40,32,12)s(48,40,12)+-+
s(40,40,20)s(32,24,12)-s(40,32,20)s(48,16,20)-+
c(40,24,12)t(48,16,12)s(24,40,28)+c(16,40,12)-+
s(40,16,20)c(32,32,28)*s(24,24,28)*t(32,48,28)-
t(32,48,28)s(24,24,28)s(24,40,20)t(24,24,12)-*-
s(40,40,20)s(24,24,20)-s(32,24,20)+c(40,32,20)*
s(16,24,20)c(24,40,12)-t(16,56,12)t(16,32,12)+-
s(24,32,28)s(16,24,20)+s(40,40,20)s(24,32,12)+*
s(32,32,28)s(32,40,28)s(24,48,20)*c(40,32,20)+*
s(40,32,20)s(40,40,12)s(48,16,20)s(8,48,12)++*
s(16,16,12)s(32,24,20)s(24,24,28)s(48,24,20)-*+
c(40,24,12)c(24,40,20)s(8,48,12)+t(24,32,28)*+
s(32,16,12)s(40,40,20)+s(24,24,12)s(16,32,12)+-
s(24,40,28)t(40,40,20)c(48,24,12)--t(24,32,20)*
t(32,48,28)s(24,48,20)s(8,24,12)+t(24,48,28)**
s(16,32,20)s(8,16,12)-t(16,56,12)t(32,32,28)++
s(48,40,20)t(24,40,28)c(24,24,12)+s(32,24,28)*-
c(24,24,20)t(16,24,12)c(48,24,12)+-s(24,32,28)*
t(40,32,20)s(40,40,20)s(8,16,12)s(40,24,28)+**
t(24,48,20)t(32,48,28)*c(16,48,12)+t(40,16,12)+
s(16,16,20)c(24,48,12)s(32,8,12)+s(40,8,12)--
t(24,40,28)c(40,40,12)-c(40,40,20)s(24,24,20)+*
c(32,24,20)s(32,16,20)*s(16,32,12)+c(32,40,20)-
c(32,32,20)s(24,24,20)-t(24,32,28)s(32,24,20)*+
s(32,48,20)s(24,32,20)s(40,40,20)s(32,32,28)*--
t(24,32,20)t(24,48,20)-c(32,32,20)c(24,40,20)*+
s(48,40,20)c(40,16,12)c(24,40,20)++s(40,16,20)*
s(32,40,28)s(16,24,20)-c(40,40,20)c(24,24,20)-*
s(48,24,20)c(40,32,20)s(24,32,20)*s(40,40,12)++
s(40,16,12)s(24,24,12)+s(24,8,12)c(16,32,12)+-
t(32,24,20)t(16,40,12)c(40,32,12)++s(40,40,28)+
s(40,24,12)s(40,32,20)s(32,32,20)*+s(24,40,12)-
s(24,24,28)s(48,8,12)t(48,56,12)c(24,16,12)++*
c(24,40,20)t(32,24,12)-s(16,24,20)s(32,24,20)*-
s(48,24,20)c(32,24,20)s(32,32,28)s(32,24,28)***
c(40,24,20)c(32,24,20)*s(24,40,28)-c(40,32,20)+
s(40,40,20)s(32,40,28)t(32,40,20)-+s(24,32,20)*
s(16,24,12)s(16,8,12)+c(24,32,20)+c(24,16,12)-
s(8,16,12)c(16,48,12)+t(32,48,12)s(24,8,12)++
c(40,32,20)t(48,48,12)-t(32,32,20)c(24,24,20)**
s(8,48,12)c(48,24,12)+s(48,24,20)c(32,16,12)-+
c(40,32,20)s(48,32,20)s(24,24,20)-c(32,32,28)*-
s(40,24,20)s(40,40,20)c(40,32,20)s(32,32,28)**+
t(32,48,28)s(32,40,20)t(24,40,28)+s(24,40,28)**
s(32,24,20)s(32,32,28)s(40,24,28)*c(32,48,12)-*
c(24,40,20)s(16,24,20)s(40,16,12)s(40,48,12)++*
t(32,32,28)t(16,56,12)c(24,48,12)+c(32,16,12)+*
t(32,16,12)s(32,16,20)s(48,24,12)-s(24,24,12)-+
c(32,24,20)s(48,16,20)s(32,40,20)s(40,24,28)*+*
s(24,40,28)c(24,24,20)*t(24,32,28)*t(24,32,12)-
t(24,40,28)s(16,48,12)-t(32,48,20)-t(24,16,12)+
s(48,32,12)t(16,48,12)t(48,16,12)++s(40,24,12)-
c(24,24,20)c(24,32,20)*s(40,24,12)-t(32,48,28)-
s(32,24,28)t(32,32,28)*s(16,16,20)+s(24,40,28)*
s(24,40,20)t(48,32,12)t(40,32,12)+c(24,40,12)+*
c(24,48,12)c(40,24,12)s(32,32,12)++t(40,24,20)*
c(48,40,12)t(24,48,28)+s(24,32,28)t(32,32,12)--
s(32,24,28)c(40,40,20)+s(40,16,20)c(24,24,12)-*
s(40,32,12)t(48,32,12)+c(32,24,20)c(40,40,20)-+
s(32,32,20)t(32,24,12)-t(40,48,20)s(48,48,20)*-
s(32,40,20)s(16,8,12)+s(24,32,12)t(32,32,20)+*
c(40,24,20)c(40,16,12)-s(48,48,20)-t(40,48,20)+
c(24,24,12)c(40,24,12)+s(40,32,28)s(32,24,20)**
s(40,32,20)t(48,16,12)-t(24,24,20)s(24,40,28)*-
c(32,32,20)c(40,40,20)c(24,40,20)t(32,56,12)-+*
c(24,24,20)c(40,32,20)c(32,32,12)t(24,48,28)+*+
s(24,16,20)t(24,24,20)*s(40,40,20)+c(48,32,12)-
t(32,40,28)s(40,8,12)+c(32,24,20)*s(32,40,28)*
s(48,32,20)c(40,24,20)c(40,40,20)*-s(40,24,28)+
s(40,24,28)c(24,40,20)c(24,48,12)t(24,32,28)++-
s(48,48,12)s(24,40,28)+s(32,40,28)t(32,24,12)-*
t(16,48,12)s(40,40,28)s(48,32,20)*t(32,32,20)-+
s(24,24,28)c(40,48,12)+s(40,40,28)s(48,16,12)+*
s(40,8,12)s(40,40,28)s(32,24,20)*+s(32,40,20)-
s(32,48,20)t(16,32,12)+s(40,32,28)*c(40,32,20)*
t(24,48,20)s(48,48,20)+s(40,24,20)-s(48,40,20)*
s(24,24,28)s(32,40,28)s(40,16,20)-s(32,32,28)*+
s(48,40,20)s(48,16,20)t(32,40,20)+*s(8,48,12)+
s(48,48,20)t(48,40,12)-t(32,48,28)s(32,32,28)*-
s(16,24,20)c(24,48,12)s(24,40,12)++s(32,32,28)*
t(24,48,28)s(24,24,12)+s(32,32,20)s(40,40,28)*-
c(32,32,28)s(16,16,20)-s(24,48,12)-c(16,24,12)+
t(32,48,28)s(40,48,12)-s(40,48,20)s(24,40,28)*+
t(32,32,28)s(8,40,12)+s(32,40,28)c(40,40,20)*-
s(24,16,20)c(32,32,20)-c(24,24,20)s(8,24,12)-+
t(40,40,20)c(40,32,20)c(32,40,20)s(48,40,20)--*
s(40,24,20)s(32,32,20)c(40,40,20)*+s(32,8,12)+
c(32,24,12)t(32,40,20)+c(32,24,20)s(48,32,20)*-
t(24,48,28)s(32,32,28)*s(32,32,20)+t(32,24,20)-
t(32,32,28)t(24,24,12)-s(32,16,20)s(24,24,20)+*
c(40,32,20)s(32,16,12)-s(32,40,28)*c(40,16,12)-
s(24,48,20)s(24,24,28)s(16,48,12)+s(32,8,12)-*
s(40,24,28)s(24,48,20)-t(32,16,12)-s(40,16,20)*
s(16,40,20)s(16,40,20)s(24,32,20)*t(24,48,28)+*
s(40,40,20)t(24,32,28)t(24,48,28)-s(32,32,28)*-
t(24,40,28)s(16,32,12)c(32,40,20)+*c(32,24,20)+
c(40,32,20)s(24,40,28)*s(8,40,12)s(48,40,12)++
t(24,48,20)s(32,32,12)-s(40,40,28)s(48,40,20)-+
s(48,32,20)s(40,32,28)c(40,16,12)-*t(48,24,12)+
s(24,40,20)s(24,24,20)+c(24,32,20)*c(24,24,20)*
s(8,16,12)c(24,24,20)+c(32,32,20)s(40,40,20)*-
c(40,40,20)s(24,40,20)c(32,32,20)*c(24,48,12)+*
c(32,24,20)s(24,24,28)*t(16,24,12)s(24,48,12)++
t(24,40,28)s(48,32,20)-s(32,48,12)-t(40,40,20)+
s(24,40,20)t(40,32,20)s(24,40,12)+s(24,24,20)+*
s(32,32,28)c(40,40,20)s(16,40,20)-s(32,32,28)*-
c(24,32,20)t(40,32,20)-s(8,24,12)t(24,48,20)+*
s(24,32,28)s(40,24,28)-c(24,48,12)-t(32,32,28)+
t(16,24,12)s(32,24,20)+s(8,48,12)c(24,40,20)+*
t(32,40,20)s(32,24,28)+c(48,40,12)-s(16,32,20)-
c(24,40,20)s(40,40,28)s(32,24,28)s(40,40,20)--*
s(24,32,20)s(24,24,20)c(32,32,20)*s(16,48,20)-*
c(40,32,20)s(40,24,28)c(24,32,20)t(32,48,28)--*
s(40,32,20)c(24,40,20)+s(24,40,28)*t(24,40,12)-
c(32,32,28)s(24,16,12)-t(24,48,28)-t(40,24,12)-
s(24,24,28)c(40,32,12)t(32,40,28)+t(24,40,28)+*
s(32,48,20)s(40,40,20)s(32,24,20)c(40,32,12)-+*
s(40,24,28)c(16,24,12)s(32,24,20)s(40,24,20)*+-
t(40,48,20)t(16,16,12)+s(24,48,20)+c(16,16,12)-
s(40,24,28)s(48,8,12)-s(48,32,20)s(48,16,12)-+
s(32,24,28)s(8,32,12)s(32,40,12)+-c(32,40,20)-
c(40,24,20)s(16,32,20)c(32,24,20)*t(32,40,12)++
c(24,24,20)s(32,32,28)*s(24,32,20)*s(24,40,20)*
s(40,32,28)s(32,16,20)c(48,24,12)--s(24,16,20)+
s(40,24,28)s(32,40,20)s(40,40,20)*t(24,32,12)+*
s(24,32,20)s(24,24,20)c(40,16,12)c(16,48,12)+-*
t(24,40,20)s(8,32,12)+t(24,48,12)-c(32,24,20)-
c(40,32,12)s(40,48,12)+s(40,40,20)*s(40,24,28)+
c(24,16,12)s(48,48,12)+s(40,32,20)t(32,16,12)--
s(32,40,20)c(32,24,20)*s(16,8,12)c(32,32,12)++
s(16,16,12)t(24,48,12)+t(16,24,12)+t(24,24,20)+
c(40,32,20)t(32,48,28)s(24,32,28)**t(24,40,12)+
s(16,40,20)s(48,16,20)c(24,48,12)+s(48,40,20)--
t(48,48,12)s(40,32,20)t(32,40,28)*t(24,24,20)++
s(40,40,20)s(16,48,12)s(48,40,12)+-s(32,40,20)*
c(32,40,20)s(32,48,20)s(24,24,20)t(32,40,12)+-*
s(24,40,28)s(24,32,28)*t(24,56,12)c(24,40,12)+*
s(32,32,20)t(24,40,28)t(32,40,20)*-s(32,32,12)+
s(24,16,20)t(16,24,12)c(40,40,20)+c(24,48,12)--
s(48,16,12)c(32,24,20)s(40,48,20)+c(32,40,20)*+
c(24,40,20)s(40,24,20)-s(8,40,12)s(40,24,28)+*
s(16,40,20)s(32,40,20)c(40,24,20)s(24,24,12)-+*
t(24,40,28)t(32,56,12)c(32,32,20)+c(48,40,12)-*
s(24,40,28)t(24,48,28)*t(24,32,20)c(40,32,20)+-
s(40,48,20)s(24,40,12)s(48,40,20)+*s(32,40,28)*
s(24,40,28)c(24,48,12)-s(16,16,12)c(40,40,20)+*
s(24,24,20)s(48,16,12)+t(24,40,12)s(48,16,20)+*
s(40,32,28)c(32,40,20)*c(24,24,20)+t(24,32,20)-
s(8,16,12)c(16,32,12)+s(16,32,20)s(32,48,20)-+
s(24,24,20)s(40,32,20)c(40,40,20)*t(32,24,20)+*
c(32,24,12)s(40,48,20)s(48,40,20)*+c(32,24,20)*
t(32,40,28)s(32,32,20)*s(16,40,12)+t(24,40,28)*
s(40,40,28)t(16,40,12)s(24,24,12)s(40,48,12)++*
s(24,48,20)c(24,32,20)c(24,48,12)-+t(24,48,28)*
s(24,48,20)t(24,48,20)s(24,40,20)s(16,24,12)-*-
c(32,24,20)t(16,48,12)s(40,40,20)+-s(40,16,20)*
s(40,48,20)c(32,32,28)*t(48,32,12)+t(32,32,28)*
c(40,24,20)s(16,24,20)+c(40,40,20)+c(40,40,20)-
t(24,32,20)s(40,40,28)+c(40,32,20)*t(24,40,28)-
c(32,32,12)s(32,40,28)t(32,32,28)s(32,32,12)--+
c(32,40,20)s(24,32,28)s(16,40,20)t(40,24,20)+**
s(32,32,28)t(32,48,28)c(32,32,20)*-c(40,24,12)-
c(40,24,12)t(24,32,12)s(40,48,20)++s(24,32,28)*
c(16,40,12)c(40,32,20)s(40,24,12)-s(24,32,28)*+
c(24,24,20)c(32,24,20)s(40,24,20)--c(32,24,12)-
s(32,40,28)t(16,48,12)-s(24,24,20)c(32,24,20)**
s(16,8,12)t(32,32,20)+t(24,48,28)s(48,48,20)++
s(48,48,12)t(40,32,20)t(32,40,28)+c(24,40,20)*+
s(24,24,28)s(40,32,28)s(32,8,12)t(24,40,20)+--
s(32,40,28)s(40,32,28)s(32,48,12)--s(16,32,20)-
t(24,40,28)c(24,32,20)s(32,32,12)-c(32,32,20)**
t(32,32,12)s(32,48,12)s(32,16,20)+c(40,32,12)-+
c(40,24,20)s(40,40,28)s(32,32,28)*s(24,40,28)**
c(24,24,20)s(40,32,28)s(32,40,28)**s(48,16,12)+
t(24,40,28)s(48,48,20)+c(32,24,20)s(24,24,28)*-
c(32,32,28)c(40,24,20)-t(40,32,20)+s(32,48,20)-
s(40,32,12)t(32,24,20)+s(40,24,28)s(40,32,28)**
s(32,16,12)s(32,48,20)c(16,32,12)-c(32,40,20)*+
s(40,32,28)s(32,24,28)*c(40,48,12)-s(32,24,20)*
s(48,32,12)c(24,40,20)t(24,40,28)c(32,48,12)-*+
t(24,48,28)s(40,32,28)t(32,56,12)s(40,24,12)++*
c(24,32,20)s(32,32,20)s(16,24,12)-*c(32,24,20)*
c(40,40,20)s(40,32,28)c(32,32,12)--t(16,40,12)+
s(32,16,20)s(8,8,12)+s(8,40,12)+s(24,16,12)-
s(24,48,20)s(32,48,20)t(32,40,28)*c(16,16,12)+*
c(24,24,20)c(32,32,28)s(16,32,20)c(32,32,12)-*-
s(32,32,20)c(24,32,20)t(24,32,28)+*s(40,24,12)+
c(40,40,20)s(24,40,28)c(32,32,20)*s(40,16,20)-*
s(40,40,20)c(24,32,20)c(24,40,20)*t(32,24,20)-+
s(32,16,20)s(40,16,20)*s(48,48,20)+c(40,40,12)-
s(40,40,20)s(40,16,20)-t(32,40,28)+t(24,48,28)*
t(40,24,20)t(24,48,20)+s(32,32,20)t(32,32,12)--
t(32,40,28)t(24,40,28)s(32,40,20)*-t(32,32,12)+
s(24,48,12)c(40,40,20)+s(32,32,28)t(24,40,20)-*
c(24,16,12)t(32,48,28)t(32,48,20)c(40,24,12)+*+
t(40,24,20)s(16,16,20)c(24,24,12)-+s(24,24,28)*
s(16,32,20)s(32,24,20)s(40,40,28)++t(24,48,28)*
s(40,40,28)s(40,24,28)s(32,32,28)*s(16,24,12)+*
t(32,48,28)c(40,24,20)s(24,32,20)*+c(48,40,12)-
c(32,32,20)s(24,48,20)-c(32,16,12)t(40,40,20)+*
s(32,40,20)s(48,40,20)t(32,40,12)-+s(16,48,12)+
c(40,24,20)s(24,32,28)t(24,32,28)s(40,40,20)+*-
t(40,24,20)t(48,48,12)+s(40,40,28)*s(40,8,12)+
t(40,32,20)s(32,40,28)t(32,32,28)*s(40,32,20)**
s(24,48,20)s(32,48,20)s(16,40,20)-s(32,40,28)*+
t(32,40,28)s(32,16,20)-t(32,24,20)s(24,16,20)+-
s(24,32,20)s(48,16,20)+c(32,32,20)t(24,40,12)-*
s(24,48,12)t(32,32,20)c(24,40,20)s(40,32,20)*++
s(32,32,28)s(32,48,12)s(32,24,12)+t(48,24,12)+*
s(32,24,12)c(32,24,20)s(16,16,20)-s(32,40,28)*+
s(32,16,20)t(40,48,20)s(40,24,20)+s(24,24,28)**
s(32,40,28)c(32,24,20)+s(40,32,28)*c(24,32,20)*
t(24,24,20)s(48,48,12)+t(24,40,28)t(40,48,20)--
s(40,40,28)s(32,40,28)s(24,32,28)c(16,24,12)-**
s(24,32,28)t(32,48,28)t(24,48,12)-s(24,40,28)+*
c(24,48,12)s(40,40,28)c(24,32,20)c(24,32,12)--+
s(32,32,28)c(32,16,12)-t(32,32,20)c(24,40,20)*-
s(48,16,12)s(32,24,20)s(24,40,28)*+t(48,16,12)-
t(24,24,20)c(32,32,20)s(40,16,20)-+c(32,24,12)-
s(32,24,28)t(32,24,20)s(24,48,20)+*t(24,48,28)-
c(40,40,20)t(40,24,20)s(40,40,20)+*s(32,32,20)-
s(24,32,28)t(32,40,28)s(40,48,20)c(24,32,20)-+-
s(24,24,20)s(48,24,20)-s(24,16,20)s(32,40,20)-*
s(8,40,12)s(16,48,20)t(16,32,12)t(16,24,12)+-+
s(24,16,20)t(24,24,20)+s(40,16,12)+s(48,24,12)+
c(16,48,12)t(32,40,20)+s(24,32,12)-c(24,32,12)+
s(40,24,28)s(24,48,20)s(8,40,12)++s(32,16,20)*
c(40,24,12)s(32,48,20)+s(16,48,20)-s(32,32,12)-
t(24,48,28)t(24,48,20)t(16,56,12)--t(24,48,20)-
c(24,16,12)c(24,32,20)t(32,32,28)*+s(40,40,28)*
s(24,40,28)s(40,48,20)-s(16,32,20)s(24,40,12)-*
t(32,24,20)s(32,24,28)t(48,32,12)-t(24,32,12)-+
c(40,48,12)s(32,24,28)s(40,32,12)-t(32,40,20)-+
s(16,24,20)s(16,24,12)s(32,16,12)t(16,48,12)++*
s(32,32,28)s(16,40,12)-c(24,40,20)*s(16,40,12)+
s(48,40,20)s(48,48,20)s(24,48,20)-t(40,16,12)+*
s(32,40,28)s(32,32,28)*c(24,32,20)c(40,16,12)-*
c(32,40,20)c(48,32,12)+t(32,40,12)-t(32,40,28)-
s(32,24,20)c(48,24,12)s(32,48,20)+-c(16,32,12)-
c(40,40,20)c(40,32,20)*s(48,32,20)t(24,40,28)-*
c(24,32,20)t(32,48,28)c(32,24,12)+*t(24,48,20)-
s(16,40,12)c(40,40,12)+s(32,40,20)s(32,48,20)**
s(40,16,20)c(32,24,20)s(32,32,28)*c(24,40,20)*-
s(48,24,20)s(40,48,20)s(32,48,12)-s(40,16,20)+*
t(48,16,12)c(24,40,20)t(32,48,28)-t(24,48,28)++
s(32,40,28)t(40,24,20)-s(16,32,20)*t(24,56,12)+
s(32,40,20)s(16,8,12)+t(32,32,20)+s(24,32,28)*
c(32,24,12)t(40,40,12)t(16,40,12)++s(24,16,20)+
t(32,40,28)t(40,40,20)*t(32,40,12)s(24,16,20)++
s(32,24,28)s(40,24,28)*s(24,48,20)+s(24,32,28)*
t(16,48,12)s(32,48,20)s(40,24,28)+s(48,40,20)*+
t(24,32,28)c(40,40,20)s(24,32,12)+*s(48,40,12)-
c(32,32,28)s(32,32,12)-c(32,48,12)-s(48,32,20)-
c(24,32,20)s(16,32,20)c(24,24,20)*s(8,16,12)+*
s(48,40,20)c(40,40,20)*c(24,40,20)+t(24,48,28)*
s(32,40,20)s(32,40,28)s(16,48,20)-*c(32,32,20)*
t(32,32,28)s(24,40,20)t(24,40,28)**t(24,48,20)+
s(24,40,20)c(32,40,20)t(32,24,20)-s(32,24,20)+*
c(32,24,20)s(40,40,12)-s(32,48,20)s(8,8,12)++
c(16,16,12)c(40,32,20)s(40,24,20)t(40,32,12)--+
s(16,48,20)c(24,40,20)s(24,32,28)s(48,32,20)-**
c(32,24,20)c(24,24,20)t(32,32,28)*c(40,24,12)-*
t(24,24,12)s(32,32,20)s(32,48,12)-t(32,16,12)-+
s(24,40,28)s(16,24,20)c(32,24,12)-c(24,32,12)+*
t(48,56,12)t(32,48,20)+t(48,16,12)s(32,32,20)++
s(24,48,12)s(24,16,12)t(40,48,20)++s(16,32,20)-
c(24,24,20)s(16,32,20)s(24,40,28)**s(48,16,12)+
s(40,24,20)s(32,32,20)t(32,40,28)s(40,24,20)+**
s(24,40,28)c(32,40,20)t(24,40,28)s(24,40,12)--+
c(32,24,20)s(8,40,12)t(32,48,12)++t(32,40,20)*
s(24,32,20)s(32,32,20)c(24,24,20)s(16,24,20)*-+
t(24,48,28)s(24,32,28)c(24,40,20)*c(24,24,12)-*
s(24,48,20)t(32,48,20)c(40,32,20)t(32,16,12)-+*
c(40,32,20)s(40,16,20)t(32,24,20)+c(40,24,20)*-
s(32,48,12)c(24,24,20)+c(24,32,12)-c(16,32,12)-
c(24,32,20)t(24,48,28)t(40,32,20)++c(24,24,20)*
c(24,32,20)c(24,48,12)-t(24,16,12)-s(32,32,28)*
s(24,48,20)c(32,16,12)+t(32,40,28)t(24,48,12)-*
t(24,40,28)c(24,40,20)*t(24,32,28)s(48,16,12)+*
s(40,32,28)s(32,40,28)t(32,40,20)-t(16,24,12)--
c(40,40,20)s(24,24,28)c(32,40,20)s(40,40,28)+*+
t(32,16,12)c(32,32,28)t(24,48,20)-c(24,24,20)-+
c(32,32,20)t(40,24,20)c(32,32,20)s(16,32,12)-*-
c(40,40,20)c(16,16,12)t(32,48,20)t(24,48,28)*++
t(40,24,20)c(32,32,12)c(48,24,12)s(48,32,12)++*
s(32,40,28)t(16,48,12)-s(32,40,28)t(24,48,28)**
c(16,32,12)t(48,16,12)s(32,16,20)++s(32,24,28)*
c(24,32,20)t(24,48,20)t(32,40,20)+-c(32,24,20)*
t(24,40,28)c(40,32,12)+s(8,40,12)-s(24,48,12)-
t(24,24,20)s(48,24,12)+s(48,40,20)c(40,32,20)*-
t(32,32,28)c(48,32,12)s(16,8,12)+-s(48,24,12)+
t(24,40,28)s(32,32,28)*s(24,40,20)*c(32,32,20)*
s(40,32,28)s(16,40,12)c(40,32,20)+t(24,40,12)-*
c(24,48,12)t(48,56,12)+t(24,40,28)c(32,40,20)*+
s(32,40,28)s(24,40,20)s(8,40,12)-s(48,8,12)+*
s(48,24,20)t(24,40,12)+s(40,8,12)-s(32,40,12)-
c(32,40,20)s(40,32,20)t(48,24,12)-*c(24,48,12)+
s(40,40,28)c(32,32,20)-c(48,24,12)-s(16,48,20)-
t(24,48,28)c(32,32,12)+t(40,40,20)s(40,32,20)+*
s(40,48,20)s(32,40,28)*s(24,32,20)+s(32,24,20)*
s(40,40,28)s(48,48,20)-t(16,56,12)+c(24,24,20)*
s(24,48,20)t(32,40,20)s(32,32,20)*s(24,48,12)+*
c(32,32,28)s(48,40,20)s(32,48,20)t(40,48,12)-+*
s(40,40,28)s(24,24,28)-c(40,32,12)+c(40,24,20)-
c(40,16,12)c(16,40,12)+t(16,40,12)-s(16,24,20)-
t(32,32,28)t(32,48,12)t(24,32,28)+s(32,32,28)**
t(32,40,20)c(16,40,12)+c(24,16,12)+s(32,16,12)-
c(32,32,28)c(32,24,20)t(24,48,28)t(24,32,28)*--
s(24,40,28)t(32,24,20)-t(24,56,12)c(32,16,12)+-
t(32,24,20)c(16,40,12)+s(40,40,28)s(24,40,28)*-
c(24,24,20)t(24,48,28)c(32,24,20)-t(48,24,12)++
s(24,32,20)s(32,32,28)s(8,32,12)+s(24,24,28)**
s(32,40,28)c(48,40,12)t(32,24,20)t(24,32,12)++*
s(48,40,12)t(40,48,20)+c(40,32,20)c(48,16,12)+*
c(40,40,20)t(32,56,12)t(40,32,12)+t(32,48,20)+*
s(24,40,20)s(40,24,28)c(24,32,20)-+t(32,32,28)*
c(40,40,20)c(24,32,20)+s(32,48,20)*s(24,32,28)*
s(40,24,28)t(16,16,12)c(32,32,20)s(24,24,28)*++
s(40,32,28)s(24,32,12)c(40,40,20)+*s(48,24,12)-
c(40,40,20)c(40,24,12)+s(32,24,28)c(40,32,20)**
s(32,24,28)s(40,8,12)c(48,40,12)c(32,24,12)++*
s(40,32,12)s(16,16,12)+s(32,48,20)+s(24,32,20)*
t(32,40,28)t(24,40,12)-t(40,48,12)-s(40,48,12)-
t(24,32,28)s(16,48,20)c(16,40,12)-t(16,24,12)+-
t(16,24,12)s(32,40,12)+s(32,16,20)s(48,32,12)+-
s(48,24,20)t(32,48,20)+c(24,48,12)-c(32,48,12)-
t(32,32,28)t(40,32,20)*s(40,24,28)t(24,32,12)-*
c(16,32,12)c(40,40,20)+c(40,48,12)-t(32,40,28)*
c(24,32,20)s(8,48,12)t(24,48,20)+-s(40,40,20)-
t(24,40,20)s(24,32,20)s(32,40,20)s(24,40,20)**+
c(48,40,12)c(32,16,12)c(48,48,12)+s(24,40,28)-+
s(48,32,20)t(16,48,12)s(40,24,28)s(8,16,12)++*
s(32,32,20)s(32,24,20)t(40,48,20)s(40,8,12)+-*
s(16,24,20)s(24,32,20)+s(32,24,28)t(32,40,28)**
c(32,32,20)t(24,24,20)-c(40,32,20)*s(32,32,12)-
s(32,24,28)c(48,16,12)c(16,48,12)+s(8,24,12)+*
t(32,24,12)s(24,48,20)+s(48,32,12)t(32,48,20)+*
s(24,32,28)c(32,32,28)t(24,40,20)s(40,24,20)---
s(16,48,20)t(32,24,20)+s(40,40,28)-t(32,16,12)-
s(24,48,20)c(32,32,20)*s(40,8,12)+s(32,32,12)-
s(40,48,20)t(32,40,12)-s(40,32,20)s(8,48,12)+-
s(48,32,20)s(24,40,20)+t(40,24,20)-s(32,40,20)-
c(32,40,20)s(16,32,12)-c(16,16,12)+c(32,32,20)*
t(24,48,28)c(32,40,20)s(32,48,20)**s(32,32,12)-
s(24,32,20)t(24,40,28)*s(40,24,20)s(40,16,20)*-
s(8,48,12)c(32,32,12)+t(40,48,20)+t(32,32,28)*
s(40,32,20)t(32,48,28)s(40,24,12)+*s(16,40,12)+
s(40,32,28)s(40,16,12)c(24,32,20)+*c(24,24,12)-
s(24,48,20)t(16,48,12)s(24,24,28)c(32,40,20)*+*
c(24,16,12)s(16,32,20)s(24,32,20)++c(32,32,28)*
s(16,24,12)t(32,48,20)+t(40,32,12)s(16,48,12)+-
c(40,24,20)c(32,40,20)s(40,40,28)*t(48,48,12)-*
c(16,48,12)t(32,32,28)c(32,16,12)-s(32,32,20)*+
c(32,40,12)t(32,24,20)+c(32,24,12)t(16,40,12)+*
s(16,32,20)s(24,40,20)s(16,16,20)+s(24,24,20)**
c(32,32,28)c(48,48,12)t(16,40,12)+s(16,32,20)--
s(48,16,20)s(40,16,20)s(48,32,20)s(24,32,20)--*
s(32,40,20)c(40,16,12)s(16,48,20)+s(48,8,12)+-
c(40,24,12)s(16,48,20)t(32,48,28)s(24,48,20)**+
s(40,24,28)s(24,24,28)*s(40,8,12)-t(32,32,20)*
c(24,32,12)s(48,32,20)+t(32,40,28)-c(48,16,12)-
s(24,24,20)t(40,32,20)+s(48,40,20)c(48,24,12)+*
t(16,56,12)c(48,40,12)+s(40,24,28)+s(32,48,20)-
s(32,48,20)t(32,40,12)c(40,16,12)+t(24,16,12)+-
s(32,32,20)s(40,24,20)t(16,24,12)t(24,40,20)+--
c(24,40,20)s(16,32,12)-s(24,32,20)s(32,48,20)--
t(32,48,12)s(32,16,20)s(24,24,28)s(24,32,28)**+
s(32,16,20)s(40,32,20)s(40,24,20)*-s(48,8,12)-
c(40,40,12)s(40,48,12)c(24,40,12)++c(40,40,20)*
s(16,24,20)c(40,40,20)-t(24,56,12)+t(32,48,28)-
c(32,40,20)c(24,40,20)*s(32,40,12)t(40,32,20)+*
s(40,32,20)c(32,40,12)c(24,24,12)++s(32,24,28)*
c(32,40,20)s(16,32,12)-t(24,48,28)+s(16,40,12)-
s(48,40,20)s(40,24,28)*s(24,32,12)+c(24,40,20)*
s(24,32,28)s(16,48,12)s(48,48,20)s(8,48,12)++-
s(24,40,28)s(40,40,12)s(40,16,20)++s(16,24,20)-
s(32,40,28)s(24,48,20)c(32,24,20)-*s(16,40,20)+
s(48,40,12)c(32,40,12)+s(16,48,20)+c(32,32,20)*
s(8,16,12)s(32,32,28)+t(24,32,28)s(24,24,12)--
s(8,40,12)s(48,16,12)+t(16,40,12)-c(32,24,20)+
s(48,24,20)t(24,48,28)s(48,48,20)+c(24,24,12)+-
s(40,32,20)c(24,16,12)t(40,24,20)+*s(48,8,12)+
s(32,16,20)s(24,24,20)s(48,40,12)+s(40,40,28)*-
s(40,40,20)c(32,32,28)t(24,40,28)s(16,40,20)*-*
s(48,48,20)t(32,32,12)s(24,24,12)++s(24,32,20)*
s(24,40,28)c(32,24,20)s(24,40,20)t(24,24,20)+**
c(48,40,12)s(16,16,20)+c(40,32,20)s(40,48,20)*-
s(24,40,20)s(32,24,28)s(40,32,28)-c(32,32,28)*-
t(24,40,28)t(32,32,28)*s(24,40,20)*s(32,16,12)+
s(32,48,20)s(40,48,20)t(24,56,12)-t(24,32,20)-*
t(48,48,12)c(32,24,20)s(16,48,20)s(32,32,28)-++
s(40,40,28)t(32,32,28)s(40,40,12)-c(24,40,12)+*
s(40,24,20)s(48,24,20)c(16,40,12)t(40,24,20)+--
c(24,32,20)s(24,40,28)+t(24,32,20)s(40,8,12)+*
t(32,40,28)s(32,48,12)-c(32,32,28)s(24,48,20)-*
s(16,32,20)c(32,32,12)+s(40,40,28)*t(16,32,12)+
t(32,32,28)c(24,40,20)*c(32,32,12)s(24,24,20)+*
s(48,32,20)s(48,48,20)c(32,24,20)+t(40,40,20)-+
s(16,40,20)t(16,48,12)-c(32,40,12)+t(16,32,12)-
s(24,24,20)s(32,32,28)*s(24,40,12)+s(24,48,12)-
c(40,24,20)s(32,24,28)c(32,24,12)t(48,16,12)+--
s(24,32,28)s(16,24,12)-s(16,48,20)c(16,32,12)+-
t(32,40,20)s(32,32,12)c(40,32,12)++t(40,48,20)+
c(40,40,20)s(40,48,20)c(48,48,12)-*c(40,16,12)+
t(24,32,28)t(32,40,12)-c(24,32,20)*c(40,40,20)-
c(16,40,12)c(32,24,20)s(48,8,12)++c(32,32,20)-
t(16,32,12)s(32,24,28)s(40,48,20)s(40,16,20)+*+
c(32,24,20)c(24,40,20)s(32,32,20)*s(32,48,12)+*
s(40,32,20)s(40,32,28)t(24,40,12)-s(24,24,28)*-
c(32,24,20)t(24,32,28)*s(24,16,12)-c(40,24,20)+
c(24,40,12)s(40,8,12)+c(24,24,20)+c(40,40,12)+
s(40,24,20)s(32,32,20)c(40,32,12)s(32,24,20)+**
c(48,40,12)s(16,32,20)c(48,24,12)+c(24,32,20)*+
s(16,24,20)t(24,48,20)s(32,32,28)+t(32,48,20)-*
s(32,16,20)s(32,24,28)s(16,16,12)-c(16,16,12)+*
c(32,16,12)s(24,40,20)+t(40,24,20)c(24,24,20)++
t(40,56,12)t(40,24,20)s(16,48,20)t(24,40,20)-++
s(48,32,20)c(24,24,20)-s(48,8,12)s(32,32,20)+-
s(32,32,20)t(32,32,12)-s(32,40,28)*c(32,24,20)*
s(24,48,20)t(24,40,28)*t(32,32,12)+s(8,48,12)-
c(32,32,20)s(40,32,20)t(32,48,28)s(24,48,20)*-*
s(16,48,20)s(24,32,20)-c(48,40,12)t(24,48,28)+*
s(24,16,20)c(40,32,12)+s(40,32,20)t(32,32,28)*+
s(24,40,28)c(40,40,12)c(48,16,12)+t(48,48,12)+-
c(32,40,20)c(32,48,12)-t(16,48,12)-c(48,24,12)-
t(24,40,20)s(24,24,28)t(16,16,12)-c(24,16,12)-+
s(32,32,28)s(40,24,28)s(40,8,12)s(48,32,20)+**
c(40,32,20)t(40,32,20)s(48,48,12)--t(24,40,28)-
s(40,40,28)c(48,24,12)s(24,40,12)++c(24,32,20)*
c(16,32,12)c(32,40,20)+s(40,16,20)-s(32,24,28)*
c(16,16,12)s(32,24,12)+s(40,16,12)-t(32,24,12)-
t(16,56,12)t(40,24,20)+s(8,48,12)s(24,24,12)+-
s(24,24,28)s(40,32,28)c(24,40,20)c(40,32,12)-*-
c(40,32,20)s(24,24,12)-c(24,32,12)-t(32,32,28)*
s(48,8,12)t(24,32,20)+s(32,32,28)*s(40,48,20)-
c(16,48,12)s(32,24,20)t(40,24,12)-+c(16,32,12)+
s(24,24,12)t(32,48,28)+s(32,24,28)s(16,32,20)*+
c(48,16,12)s(24,32,20)+t(40,24,20)+s(40,16,20)-
t(40,16,12)c(40,32,20)s(40,16,20)*+t(48,32,12)-
c(32,32,28)s(32,40,12)-t(32,40,28)*s(40,16,20)+
s(48,32,20)s(40,48,20)c(32,32,28)*+c(32,24,20)*
s(32,24,28)c(24,40,20)t(32,48,28)*c(40,32,20)*-
s(32,24,20)s(40,24,20)s(16,24,20)--s(40,32,12)+
c(32,32,28)s(32,48,20)s(8,8,12)s(32,40,20)++-
s(48,40,20)c(32,32,20)c(16,24,12)--c(40,32,20)+
s(32,16,20)s(40,40,20)-c(24,24,20)*c(24,32,12)-
s(40,16,20)t(16,32,12)s(40,40,28)++t(24,40,20)*
s(24,32,28)s(24,32,20)s(48,32,20)s(32,32,20)*--
s(48,24,20)s(32,32,28)c(24,32,20)+*s(40,32,20)*
c(40,24,20)t(32,32,28)t(48,16,12)c(24,40,20)+**
s(48,24,20)t(32,32,12)-s(32,24,12)-s(8,32,12)+
t(24,40,28)s(32,40,28)*s(24,24,20)c(24,40,20)*-
t(24,24,12)t(32,48,20)+s(16,32,20)s(24,24,12)-+
c(40,24,20)t(24,56,12)+s(32,16,20)+c(40,24,20)-
s(8,32,12)c(48,40,12)s(32,24,28)++s(32,24,12)-
s(32,16,20)c(40,40,20)c(32,40,20)c(24,24,20)*+-
c(32,24,12)s(24,48,12)+s(40,16,20)-s(8,24,12)+
s(40,40,28)t(16,56,12)t(32,24,12)+s(32,32,12)++
t(24,48,28)s(24,48,20)t(24,40,28)c(24,16,12)+**
s(40,40,28)t(48,48,12)c(40,32,20)c(32,32,12)-+*
t(32,40,28)c(24,48,12)-c(32,40,20)t(48,40,12)-*
c(24,24,20)t(32,32,28)*t(24,48,12)+s(24,16,20)-
c(24,24,20)c(24,40,20)*s(40,24,28)+s(32,16,20)*
s(16,40,20)s(40,48,12)+t(16,40,12)-c(16,48,12)-
s(16,40,20)s(40,24,28)s(24,40,28)+s(32,24,12)-*
c(32,24,20)s(16,32,12)+s(40,40,28)*s(32,24,12)-
s(48,16,20)t(32,32,28)s(48,48,20)s(48,40,20)*-+
s(40,32,20)t(24,24,20)s(40,48,20)+s(32,16,20)+*
s(32,32,28)s(32,16,20)*c(48,32,12)+c(16,48,12)+
s(24,32,28)t(40,32,20)+s(32,32,28)*t(24,48,28)*
s(24,32,28)s(16,24,20)*s(32,40,28)s(24,40,12)--
s(32,24,28)s(16,48,20)-s(32,16,12)-s(32,24,20)-
s(48,24,20)s(40,24,20)s(24,40,20)s(40,32,20)+**
s(32,24,20)s(48,32,20)-c(24,24,20)s(24,8,12)-*
c(40,24,20)s(40,32,28)c(24,24,12)--c(48,40,12)+
t(24,24,20)t(32,48,28)s(32,8,12)++t(32,48,12)-
s(32,24,20)s(48,32,12)-c(32,48,12)t(40,56,12)++
s(24,40,28)s(24,32,28)s(16,24,20)s(48,16,12)+*-
s(32,40,28)s(32,16,20)-s(24,40,20)s(40,32,20)-*
s(24,24,12)s(40,40,12)+c(32,16,12)+t(48,56,12)+
s(32,24,28)c(48,24,12)-c(32,40,20)*t(16,40,12)-
c(24,32,20)s(32,16,12)s(32,32,28)t(24,24,20)*++
c(24,40,12)t(24,56,12)+c(24,40,20)t(32,32,12)-*
s(24,40,28)t(48,16,12)+t(32,16,12)t(32,48,28)+*
c(24,32,12)c(40,40,20)c(40,32,20)s(48,32,20)**+
s(40,32,28)c(16,40,12)+t(48,24,12)s(16,32,12)+*
s(40,16,12)s(16,24,20)+t(24,24,12)-c(40,24,12)-
s(32,16,20)c(16,24,12)-t(24,32,20)t(32,16,12)+-
s(32,40,28)c(40,16,12)+s(32,16,12)-s(32,32,28)+
t(32,32,28)c(24,24,20)*s(24,32,28)s(40,32,28)**
s(40,16,20)c(16,16,12)s(40,40,20)+-s(32,40,20)+
s(24,32,20)c(40,32,12)s(48,48,20)+-s(32,32,20)*
s(8,16,12)s(16,32,12)t(32,40,28)++t(32,40,28)-
t(24,32,28)s(32,40,28)s(16,40,12)-s(40,48,12)-*
c(24,48,12)s(32,40,28)s(40,48,20)*+s(32,32,12)-
s(8,8,12)c(40,24,12)s(32,40,12)++s(40,24,28)*
c(32,40,20)t(32,32,20)-s(32,24,28)t(48,32,12)--
s(24,24,20)c(24,24,20)c(32,40,20)-s(24,48,20)+*
s(40,24,28)s(24,32,20)s(40,32,20)*t(32,16,12)+-
s(40,24,20)s(40,48,12)+s(32,40,20)*c(16,48,12)+
s(24,16,12)t(24,24,20)t(24,48,28)+c(24,40,20)*+
s(16,40,20)s(40,32,28)c(24,24,20)*+c(40,32,12)-
s(48,48,20)t(32,48,28)t(32,40,28)*+s(48,40,20)*
s(48,32,12)c(40,24,12)+t(40,40,20)c(32,24,20)+*
s(16,8,12)s(32,32,28)+s(16,24,12)-s(40,40,12)-
c(32,24,20)s(32,16,20)c(24,24,20)*s(48,48,12)+*
c(40,40,20)s(32,8,12)+t(40,40,20)-c(16,48,12)+
s(24,32,28)s(24,24,28)s(40,24,28)+*t(32,40,28)*
t(32,40,28)c(24,32,20)*c(32,40,20)t(24,32,20)*+
s(24,24,20)c(32,24,20)s(32,32,20)*t(32,40,28)+*
c(32,24,20)t(32,40,28)s(32,40,28)t(24,24,12)-*-
c(32,24,20)s(40,24,28)c(40,32,20)*s(32,40,12)--
t(16,56,12)s(24,40,12)t(48,48,12)++t(32,40,12)-
s(32,40,20)s(24,32,28)*s(24,16,20)-t(24,48,12)-
s(40,32,20)s(48,16,20)c(32,16,12)s(8,24,12)++-
c(16,24,12)c(32,32,20)+t(32,32,20)c(24,40,20)*-
c(32,32,28)s(48,16,20)+t(32,40,12)s(32,16,20)+-
s(40,24,28)t(32,32,28)*c(48,32,12)+s(48,40,20)-
c(40,40,20)s(16,32,20)s(32,24,12)-+s(40,40,28)*
c(32,24,20)s(40,48,20)-t(16,24,12)-s(40,40,28)*
s(48,40,12)t(24,24,12)+c(40,24,12)+s(16,16,20)+
s(40,24,20)s(32,32,28)*c(24,32,20)s(16,48,12)-*
s(24,40,28)s(40,24,20)c(40,32,20)*s(32,16,20)+-
s(40,48,20)s(24,32,28)c(24,24,20)s(32,32,28)+*-
s(24,32,20)t(40,24,20)t(48,16,12)--t(24,40,28)*
c(32,32,28)c(16,32,12)-t(32,48,12)-s(24,32,28)*
s(24,32,28)c(16,16,12)t(24,48,20)+c(32,32,20)*-
t(32,32,28)c(32,32,20)*s(24,24,28)s(40,24,20)**
s(32,48,20)s(24,40,28)*s(40,32,28)t(24,48,28)--
s(48,24,20)s(24,32,28)+s(32,40,28)+t(24,48,28)*
s(32,40,20)c(32,32,28)s(48,8,12)t(24,32,20)+*-
s(24,40,20)c(24,32,20)t(32,48,12)-c(32,24,12)-*
c(40,32,20)s(40,24,28)c(32,16,12)-s(24,16,20)-*
s(48,32,20)s(40,16,20)c(40,24,20)*s(40,40,12)+*
c(32,32,20)t(24,32,12)t(24,56,12)+-t(40,24,20)-
s(24,40,20)s(48,32,12)+t(32,40,28)*c(48,40,12)-
s(40,16,20)s(40,32,28)c(24,40,20)t(24,40,28)+-*
t(24,32,20)c(24,40,12)c(40,16,12)t(48,48,12)+++
s(40,24,28)c(32,32,20)+t(24,32,12)-s(32,40,28)*
s(32,24,28)s(40,8,12)-s(40,24,20)c(32,24,12)--
s(40,40,20)s(40,24,20)s(16,24,12)t(48,16,12)+-*
t(32,40,20)s(48,48,12)s(32,32,20)+*t(24,24,12)+
t(16,32,12)s(40,32,28)t(32,32,12)s(24,48,20)+*+
c(16,40,12)t(32,24,20)+c(32,24,20)c(16,24,12)+*
c(24,40,20)s(24,24,28)t(48,40,12)t(24,24,12)+-*
t(16,40,12)c(24,24,20)s(8,16,12)-s(32,24,12)-+
s(24,40,28)t(24,24,20)s(24,48,20)s(32,40,12)-++
t(24,48,28)s(32,24,20)c(32,40,20)s(48,48,12)+*-
s(40,24,20)c(40,16,12)c(40,32,20)c(32,40,20)-+*
s(40,32,20)c(40,24,20)*s(40,32,28)t(24,24,12)-*
s(32,40,20)s(24,16,20)-s(48,48,20)s(32,48,12)-+
c(40,24,20)t(16,48,12)+c(16,16,12)t(32,40,20)+*
t(40,48,12)c(32,32,20)t(24,48,20)-+t(32,40,28)*
s(24,8,12)s(24,40,20)s(48,32,20)s(48,24,12)--+
s(32,32,20)t(48,48,12)+s(32,48,12)-s(32,40,20)*
s(24,32,20)c(40,24,12)+s(32,40,28)*t(16,40,12)-
s(8,32,12)c(24,24,12)+t(48,48,12)+s(40,40,28)-
c(32,16,12)s(48,40,20)t(40,56,12)++t(24,40,28)-
s(40,24,20)c(40,32,20)+t(40,16,12)-s(24,32,28)-
s(32,32,28)c(24,32,20)+s(24,40,20)*s(40,48,20)-
s(48,16,12)c(24,48,12)+s(16,40,12)s(24,32,12)++
s(40,32,20)c(40,32,20)t(32,24,20)s(24,48,12)+**
t(24,40,28)s(40,32,20)-s(48,40,20)+s(24,32,20)*
c(24,32,20)c(32,16,12)s(24,16,20)t(40,24,20)-+*
s(32,24,20)c(32,24,20)t(32,40,28)s(32,32,28)*-*
s(40,32,20)t(32,40,28)*t(48,40,12)-s(24,8,12)+
s(32,40,28)s(24,24,20)s(32,24,20)*-s(24,32,20)-
s(24,40,28)s(32,24,28)*s(48,24,20)c(24,40,20)--
s(24,40,20)c(32,24,12)+s(32,32,20)t(40,32,20)+*
c(40,32,20)c(40,40,20)c(40,32,12)-t(32,40,20)+*
s(24,24,20)s(48,40,20)s(16,16,20)+s(32,40,28)*+
s(40,48,12)s(8,40,12)+t(24,56,12)t(24,32,20)+-
s(40,16,12)s(16,40,20)+c(40,24,20)+s(48,40,20)*
s(32,40,12)s(32,16,12)+t(40,32,20)s(32,24,12)-+
t(32,48,28)s(32,8,12)+t(32,32,28)-s(32,16,12)+
t(32,40,20)s(48,24,20)c(32,32,28)*s(32,24,28)*-
c(40,24,20)s(16,48,20)+s(40,40,28)*s(32,16,12)+
c(16,48,12)c(24,24,12)+c(48,40,12)s(24,40,28)+*
s(40,48,20)t(40,16,12)+t(40,32,20)t(40,48,20)--
s(24,16,20)c(32,40,12)+s(24,48,20)+c(24,32,20)-
s(40,16,20)s(16,32,20)+s(24,40,28)s(24,16,12)+*
s(48,48,20)s(32,32,28)t(24,32,28)*s(48,8,12)+-
s(40,40,20)t(40,32,20)s(40,40,12)+s(40,32,20)**
c(40,32,20)s(24,48,20)s(40,48,20)-c(32,32,20)+*
t(40,32,20)s(8,8,12)+c(40,40,12)+s(16,8,12)-
s(24,24,28)t(32,32,28)s(24,16,20)s(16,16,20)*+*
s(48,40,12)t(24,32,20)+c(40,24,20)*s(48,16,20)+
s(48,32,20)s(40,16,20)-s(24,40,28)+s(40,48,20)*
s(24,24,28)s(32,32,12)s(24,48,20)t(32,48,28)*+-
s(40,32,20)t(32,56,12)s(32,40,20)s(40,32,28)*+-
c(24,32,20)t(32,48,28)*t(40,48,20)+c(32,32,20)*
t(24,40,28)s(16,24,20)t(32,40,28)--s(24,24,12)+
c(24,32,20)s(32,24,20)*t(40,24,20)c(32,24,12)+*
s(48,24,12)s(32,32,12)c(40,32,20)t(32,32,28)-++
c(32,32,20)c(32,24,12)c(32,40,20)t(16,40,12)-+*
s(16,24,20)t(16,48,12)c(32,32,20)c(24,24,20)*+-
s(24,40,28)c(40,40,20)s(48,40,20)s(24,16,12)+*+
c(32,32,20)s(32,40,28)c(40,32,20)*t(24,48,28)-*
s(32,48,12)s(40,24,28)c(40,32,20)*s(48,32,20)*+
s(48,24,20)s(32,40,20)-t(40,24,12)+t(32,32,28)-
s(40,40,28)t(24,48,28)s(24,24,28)s(40,40,28)*-+
s(48,16,20)t(32,24,20)t(32,56,12)t(48,56,12)++-
t(32,48,20)c(40,40,20)s(48,16,20)+s(48,24,12)-*
c(40,32,20)s(16,16,20)s(24,24,20)*s(40,32,20)+*
s(24,24,20)s(16,8,12)+s(24,32,28)t(32,16,12)-*
s(40,24,28)c(32,40,20)t(32,32,28)t(32,48,12)+**
c(32,32,20)t(32,16,12)-s(40,32,20)s(32,40,20)+*
c(40,40,20)s(48,40,12)-c(40,32,20)*t(40,48,12)-
s(40,32,28)s(24,16,20)c(40,32,20)+*s(24,40,28)*
c(48,24,12)s(8,40,12)s(24,32,12)++s(32,32,20)*
s(32,24,20)t(32,32,28)s(40,32,20)*s(32,32,20)*+
s(48,24,20)s(40,16,12)-t(40,24,12)-t(48,24,12)+
t(24,48,28)t(32,32,20)s(48,32,12)-+t(24,40,12)-
c(16,40,12)c(24,24,20)+s(48,24,20)-s(40,32,20)-
t(32,32,12)s(40,24,20)s(32,40,28)+s(40,16,20)*+
c(40,24,12)c(32,32,20)s(24,40,28)*c(24,48,12)++
s(24,24,28)s(40,16,12)-t(32,40,20)-c(32,16,12)-
t(40,32,20)s(32,40,12)+s(40,24,20)s(32,32,28)**
t(40,24,20)s(40,40,20)s(32,32,20)s(32,40,12)--+
c(24,32,20)c(32,32,28)s(24,24,28)t(40,24,12)-**
c(24,40,20)s(32,32,28)t(16,24,12)-*s(24,32,20)+
c(24,24,20)s(24,24,28)s(24,48,20)s(48,32,20)+*-
s(48,48,12)t(16,40,12)+s(48,32,20)+t(40,48,20)-
s(32,24,28)c(48,40,12)-c(24,24,20)*s(16,32,20)*
t(24,40,28)s(40,40,12)-c(40,32,20)-s(24,48,12)+
s(40,40,20)t(48,48,12)s(24,32,28)s(24,40,28)*+*
s(24,32,20)s(24,40,28)s(32,48,12)-*s(32,32,20)*
c(40,48,12)c(32,32,12)t(24,24,12)+t(24,16,12)++
t(24,32,28)s(32,32,20)+s(24,24,20)t(24,40,28)*-
s(16,16,20)c(32,40,20)-t(24,24,20)-c(16,40,12)+
c(40,40,20)s(32,40,20)s(40,24,28)t(24,32,20)+*-
s(24,16,12)s(40,32,28)t(24,40,28)-+c(32,24,20)*
t(32,32,20)t(40,48,12)+c(48,24,12)t(40,32,12)++
c(32,32,28)s(40,32,28)-s(8,48,12)-s(24,32,28)-
c(32,40,20)s(16,48,12)-c(48,48,12)+t(48,56,12)-
s(40,32,12)s(48,48,12)+s(48,40,20)s(48,24,20)*+
s(40,40,20)t(32,48,12)-t(40,40,20)t(32,32,12)+*
t(24,32,28)t(32,40,28)t(32,40,12)-+t(40,48,20)*
t(40,40,12)s(32,8,12)s(40,24,12)++s(40,48,20)+
t(32,24,20)c(48,32,12)+c(40,24,12)-c(32,24,20)+
s(32,24,20)s(48,24,20)s(24,32,20)--s(40,24,28)*
s(8,16,12)c(40,40,20)+s(32,40,28)t(32,48,12)--
s(32,32,20)t(32,40,20)t(40,40,12)s(8,24,12)+--
c(32,32,28)s(40,48,20)c(48,32,12)--s(24,32,20)*
s(40,24,20)s(24,8,12)c(24,16,12)++s(24,16,20)*
s(32,24,28)t(40,24,12)-c(24,40,20)c(24,24,20)**
t(24,32,20)s(40,40,20)t(32,24,12)-c(16,48,12)++
s(24,48,12)s(32,24,20)c(48,16,12)-+t(24,32,28)*
s(24,24,28)t(24,48,28)t(40,48,12)+t(32,32,28)+-
t(32,40,28)c(40,48,12)t(24,32,28)+*s(16,32,12)-
c(24,32,20)s(24,40,28)*s(40,40,28)*c(40,24,20)*
c(40,16,12)t(32,24,20)+t(40,24,20)*c(40,32,20)*
s(32,48,20)c(16,40,12)s(48,40,20)+-s(48,16,20)+
s(24,48,20)s(24,32,28)s(48,16,20)-s(40,40,28)*-
s(48,40,12)s(32,40,20)+s(40,24,20)s(48,40,20)+*
s(32,24,12)c(16,48,12)+c(32,40,12)-s(32,16,12)-
c(32,32,20)s(48,48,20)t(32,48,28)*t(24,24,12)+*
s(24,40,12)t(40,32,20)+s(32,24,12)-t(32,40,28)*
t(32,48,28)s(40,32,20)-s(48,48,12)c(40,24,20)+-
s(24,24,28)s(32,32,20)*s(40,24,20)s(32,32,20)**
t(32,32,28)s(40,32,28)t(24,40,20)t(16,16,12)+-*
c(40,40,20)t(48,40,12)c(32,32,28)s(32,16,20)*+*
s(24,40,28)s(40,32,20)+t(32,48,28)s(40,48,20)*-
s(40,24,20)s(40,48,20)c(40,40,20)*t(24,48,20)++
s(24,32,20)t(16,48,12)+t(32,40,28)t(40,40,20)-*
s(48,24,20)s(40,32,20)+t(32,16,12)-t(40,40,20)-
c(32,32,20)s(40,24,12)s(16,48,12)+-t(32,16,12)+
s(40,24,20)c(48,32,12)-c(40,40,20)+s(48,48,20)-
s(40,24,20)t(16,24,12)+s(40,24,28)*s(24,24,12)-
s(24,40,20)c(24,24,20)s(32,40,28)c(40,48,12)-**
s(40,32,28)s(16,8,12)s(24,32,12)+-s(24,32,28)-
s(40,48,20)c(24,40,20)t(32,48,28)s(24,16,12)+**
c(24,40,20)t(40,48,20)s(32,48,20)c(16,48,12)-*-
t(32,48,12)t(24,32,28)s(16,24,20)-+s(24,32,28)*
t(24,32,28)c(40,24,20)s(32,24,12)-s(24,32,12)+-
c(24,40,20)s(48,40,20)-s(24,24,20)c(24,24,12)--
c(16,40,12)s(40,48,12)+c(32,48,12)-c(48,16,12)+
s(32,24,28)s(16,24,20)-c(24,32,12)t(32,40,28)+-
s(24,32,20)t(24,32,28)*s(40,32,28)*s(48,16,12)+
c(40,24,20)t(32,40,20)s(40,16,20)--s(40,24,20)*
s(32,40,28)s(24,16,20)-s(16,32,20)s(40,24,28)--
t(40,24,20)t(16,56,12)+c(32,32,20)s(32,24,28)++
s(40,40,20)t(24,48,12)s(32,24,20)s(40,16,20)*+-
s(24,32,12)t(32,40,28)c(24,40,20)s(24,32,12)-*+
t(40,32,20)c(48,48,12)+c(32,40,20)t(32,40,28)**
s(32,48,12)s(48,24,20)+t(24,40,28)+s(32,24,28)+
s(40,32,28)t(16,40,12)+t(24,32,28)c(40,48,12)-*
s(32,32,28)s(32,40,28)*s(16,40,20)s(24,40,20)+*
s(24,40,20)t(32,40,20)s(48,24,12)s(16,16,20)++*
s(32,24,28)s(16,8,12)-t(48,40,12)s(24,40,12)+-
s(48,32,20)s(32,32,20)c(40,48,12)-+s(32,32,28)*
s(32,32,28)s(40,32,20)t(32,32,28)*-t(16,56,12)+
s(48,40,12)c(32,32,28)t(24,32,20)c(40,40,12)+-+
s(24,48,20)s(24,32,28)*s(48,8,12)+c(24,40,12)-
s(24,24,12)t(32,40,28)s(16,40,12)-+t(24,24,12)-
s(32,32,28)t(40,40,20)-s(16,16,12)-s(32,40,28)*
t(32,40,28)t(32,48,12)c(32,24,12)+*s(40,48,12)+
c(24,32,20)c(32,16,12)-t(16,40,12)-s(24,48,12)-
t(32,40,28)t(24,24,12)s(24,48,20)c(40,24,20)-++
c(40,48,12)t(16,32,12)s(48,32,20)+s(32,40,12)-+
t(48,56,12)s(40,40,20)s(32,32,28)*s(40,32,20)*+
s(32,40,20)c(16,40,12)-s(24,24,20)c(40,24,20)*-
c(16,40,12)c(32,40,12)+s(32,40,28)c(32,32,20)**
t(24,48,20)t(24,24,20)t(32,40,12)+-c(32,48,12)+
s(8,8,12)s(48,40,20)+s(40,48,12)-s(32,40,28)-
c(24,24,12)t(24,32,20)+t(16,16,12)-t(16,40,12)-
s(32,40,28)s(24,32,28)*c(24,40,20)t(16,32,12)-*
t(40,32,20)s(40,40,20)+t(40,32,12)-s(40,24,28)*
s(48,16,20)c(40,32,12)-t(32,32,28)t(40,32,20)*+
s(40,16,20)s(32,24,28)c(24,24,12)s(8,40,12)+*-
s(24,16,20)t(24,24,12)c(40,40,20)t(40,40,20)-+-
s(40,48,20)c(24,48,12)t(40,32,12)+s(16,48,12)--
t(32,40,20)c(24,24,20)s(24,40,28)*s(16,40,20)*+
t(40,40,20)t(32,24,20)+c(40,40,20)c(32,48,12)--
s(48,48,12)c(40,32,20)c(48,16,12)-t(24,16,12)++
s(40,24,28)s(40,40,28)*t(32,48,12)c(32,16,12)+-
s(32,24,28)s(24,48,20)c(40,48,12)--s(48,16,20)*
s(40,24,28)t(24,32,28)s(16,32,20)s(16,32,12)--*
s(24,32,28)c(24,24,12)-t(24,40,28)s(24,24,28)*-
s(24,40,20)c(32,40,20)+t(40,32,20)-t(48,48,12)-
s(48,40,20)t(48,24,12)c(16,40,12)+c(32,24,12)++
s(16,16,12)t(24,32,28)+t(24,40,28)s(32,32,20)+*
s(40,16,12)s(8,16,12)+s(24,24,20)t(16,16,12)-+
s(32,24,20)c(48,24,12)s(24,32,20)+s(32,24,28)**
s(24,32,20)c(40,24,12)+t(32,40,28)*t(40,40,12)-
s(48,32,12)s(32,8,12)+s(32,32,28)+s(16,16,20)*
c(32,32,28)c(32,16,12)-s(40,48,20)*s(40,40,20)*
s(32,16,20)s(24,24,28)+t(32,40,28)*s(24,48,12)-
c(24,24,20)s(24,32,12)c(16,24,12)+t(24,32,28)*-
s(40,32,28)s(32,24,20)t(40,16,12)-*s(24,48,20)-
s(32,32,12)c(40,24,12)+t(32,32,28)s(32,40,28)**
c(40,40,20)c(40,24,20)t(40,56,12)+s(48,40,20)--
c(24,40,20)s(40,40,20)-t(24,40,20)-t(24,48,12)+
s(40,32,28)s(24,24,28)*c(32,48,12)-s(16,40,20)-
s(32,8,12)s(40,48,20)+c(32,24,20)s(24,32,20)++
s(40,32,28)t(48,16,12)-s(24,16,12)-t(32,48,28)*
s(32,32,28)c(24,32,12)-t(24,48,28)s(48,40,12)+*
s(32,32,28)t(24,40,28)t(48,16,12)++c(40,32,12)-
s(24,32,20)s(32,32,20)c(40,40,20)s(32,16,20)-*-
s(32,48,20)t(24,40,28)+c(32,32,28)*s(40,24,20)-
s(16,24,20)c(32,32,20)s(32,32,28)s(16,40,20)-*-
s(40,48,12)c(32,24,20)s(24,40,12)-s(48,16,20)*+
s(48,48,20)t(40,56,12)-s(32,16,20)+c(32,32,20)*
c(24,32,20)t(40,32,12)t(24,16,12)+-c(40,24,20)-
c(40,32,20)c(32,32,28)s(16,16,12)-s(24,40,28)**
s(40,32,20)s(40,40,20)s(32,40,20)**t(40,56,12)+
t(32,40,28)s(32,32,28)*s(40,24,28)s(48,16,20)*+
s(48,32,20)s(40,48,20)c(32,24,20)+*c(32,32,20)*
s(40,32,28)c(24,32,20)*c(24,40,12)-s(16,16,12)-
c(24,24,20)s(16,40,20)t(32,40,28)*+t(32,48,28)*
s(48,16,12)s(32,32,20)c(32,32,20)c(24,32,20)**+
s(16,40,20)s(24,40,28)s(24,48,12)-*t(32,40,28)+
s(8,16,12)s(24,48,20)+t(40,48,20)s(24,24,20)+*
t(40,32,20)t(24,48,20)+s(40,24,28)s(48,8,12)-*
t(24,48,28)c(32,32,20)s(48,16,20)-c(48,32,12)+*
t(24,48,28)s(16,40,20)s(32,8,12)s(48,40,20)++-
c(40,40,20)s(32,32,28)t(24,24,20)-*t(40,24,20)-
c(24,24,20)t(32,48,20)t(24,48,12)+-t(24,40,20)-
c(32,48,12)c(24,24,20)s(32,8,12)-+s(32,16,20)*
s(48,40,20)t(32,32,20)c(24,40,20)*t(40,24,20)+-
t(24,40,12)t(32,48,28)c(32,32,12)-+c(24,40,20)*
s(40,24,28)s(24,32,28)*c(24,40,12)-s(48,48,20)-
s(32,24,28)s(32,48,20)-s(48,32,12)s(24,40,28)+-
c(16,40,12)s(48,32,20)c(32,32,12)t(40,16,12)+-+
s(32,40,20)s(40,32,28)s(24,40,20)*t(32,48,28)*-
t(24,32,28)s(32,24,28)s(48,24,20)-t(16,16,12)-*
t(24,24,12)s(24,24,28)c(32,40,20)-+s(24,40,28)*
s(16,40,20)s(32,48,20)+s(32,32,20)*t(24,56,12)+
s(24,24,28)s(8,32,12)s(48,16,12)+-s(32,40,28)-
s(16,24,20)s(24,32,28)c(32,40,12)-s(24,16,12)-*
c(40,40,20)c(32,24,20)s(32,32,20)*s(24,40,28)**
c(40,40,20)s(48,16,12)t(32,40,12)+s(24,40,28)+-
s(48,24,20)c(24,16,12)+s(32,40,28)s(40,24,20)**
s(32,40,20)s(24,32,28)s(32,40,28)*c(32,24,20)**
t(32,32,28)s(48,48,12)-s(40,24,28)c(48,32,12)-*
s(24,40,12)s(32,24,12)+s(16,16,20)+s(32,32,20)*
c(32,48,12)c(32,32,20)+t(16,48,12)+s(40,32,20)*
s(24,8,12)s(16,48,12)+c(32,24,20)t(24,40,20)-+
t(16,16,12)s(24,32,20)+s(24,24,20)s(32,32,28)**
s(32,16,20)t(24,32,28)t(32,48,28)-s(8,48,12)-+
s(32,40,28)s(48,40,20)*t(24,48,28)+t(40,24,20)-
t(24,40,20)c(32,32,28)s(40,40,12)-t(48,24,12)-*
s(16,48,20)s(32,48,20)s(24,48,20)*-c(24,24,12)+
c(32,24,20)t(24,40,28)c(24,24,20)s(48,32,20)+*-
c(40,40,20)s(24,40,12)-c(32,32,20)-s(24,16,20)+
s(40,16,20)s(16,48,20)t(24,24,12)+t(40,40,12)+-
c(24,48,12)t(32,24,12)c(16,32,12)++s(32,24,28)*
s(24,24,28)c(40,32,20)t(16,16,12)+t(32,48,28)*+
s(8,48,12)c(40,32,20)s(48,32,20)*+c(32,24,12)-
c(32,24,20)s(32,24,28)t(24,32,28)*t(40,32,12)-*
c(24,24,20)s(16,8,12)-s(24,32,28)c(40,40,20)*-
s(40,40,20)s(48,40,12)-s(48,48,20)+s(24,32,28)*
s(8,40,12)t(40,48,20)s(16,16,20)+t(40,48,20)-+
t(32,40,28)s(40,40,28)s(32,32,28)s(24,40,20)+**
s(40,24,28)c(24,24,20)s(40,32,28)+s(16,24,20)-*
c(24,32,20)s(16,32,12)c(40,32,20)+t(24,40,12)-*
c(24,40,20)s(24,32,20)-s(40,32,28)s(24,40,20)*-
t(24,32,28)s(24,24,12)s(40,16,12)+-s(24,32,12)-
c(24,40,20)t(32,48,12)s(32,24,20)s(16,40,20)-+*
t(32,32,28)s(32,24,28)+c(24,32,20)t(24,48,28)*-
t(40,32,20)t(24,32,28)+s(32,24,28)*s(24,40,28)*
s(40,40,28)s(48,40,20)t(32,40,28)*-s(40,48,20)*
c(40,32,20)s(32,16,20)s(32,32,20)s(24,48,12)-*-
s(32,32,28)c(40,32,20)s(24,24,20)s(24,40,20)--*
s(40,40,28)s(48,40,12)-t(48,16,12)+t(32,48,28)-
c(24,40,20)s(40,40,20)s(24,24,20)t(24,32,20)*++
s(48,16,20)s(32,32,28)+c(32,32,20)s(40,32,20)*-
t(32,48,20)s(16,40,12)+c(24,32,20)*t(40,48,20)-
c(48,24,12)c(48,40,12)+s(40,24,20)s(40,32,12)--
s(24,32,28)c(40,40,20)s(40,24,20)+-t(24,32,12)-
s(40,32,20)s(24,40,12)c(40,24,12)+*t(24,48,20)-
t(24,48,28)c(32,24,20)s(40,32,20)t(24,32,28)---
c(40,40,20)t(48,32,12)-s(40,16,20)-c(24,24,20)-
s(32,32,12)s(32,40,20)s(32,24,12)-t(32,48,28)*+
s(24,32,12)t(32,40,12)s(48,16,12)++c(40,32,20)*
c(32,24,20)c(32,32,20)s(24,40,20)-s(16,40,12)+*
s(32,40,28)s(24,48,20)t(32,24,20)+*s(48,40,20)-
c(32,40,20)c(16,40,12)+s(48,48,20)c(48,32,12)+*
t(32,32,28)s(40,24,20)c(24,16,12)--s(16,48,20)-
t(32,32,20)c(40,32,20)t(24,24,20)-+c(24,24,20)*
t(24,40,28)s(24,24,28)*c(48,16,12)s(16,24,12)++
c(32,40,20)t(32,32,12)-t(24,24,20)c(24,48,12)++
s(24,40,20)c(40,24,12)s(40,40,12)++t(32,24,20)+
c(32,24,20)t(24,40,20)-s(24,24,20)t(32,48,28)--
s(24,32,20)c(40,40,20)t(24,32,20)-t(48,24,12)-+
s(48,48,20)s(32,32,20)s(40,16,20)-+t(32,32,28)*
c(24,24,20)s(24,40,28)c(40,40,20)-c(24,48,12)+*
c(32,24,20)c(48,16,12)+t(40,32,20)s(48,40,20)+*
s(40,16,20)c(24,32,20)-s(40,40,28)s(24,40,28)*+
t(32,32,28)c(16,40,12)t(32,48,20)+s(32,24,20)--
s(24,40,20)c(32,40,20)t(32,24,12)-s(48,32,12)+*
s(16,32,20)s(32,16,20)s(32,8,12)c(16,40,12)++*
s(24,40,20)s(8,40,12)-t(40,48,20)-c(32,40,20)*
s(32,32,28)t(24,24,20)s(24,24,20)t(32,32,28)*+*
c(16,16,12)c(32,24,20)c(32,24,12)-s(24,48,20)++
t(40,24,12)t(32,40,28)c(40,32,12)-t(32,32,28)*+
s(40,40,20)s(32,40,20)s(24,40,20)+*s(16,16,12)+
c(40,32,20)s(32,48,20)c(40,40,20)*s(32,24,12)+*
s(40,40,20)s(32,16,20)+s(8,24,12)+s(40,24,20)*
s(40,24,20)s(32,32,28)s(16,24,20)-s(48,40,20)--
s(40,32,28)c(32,24,20)s(40,16,20)t(16,16,12)+*-
s(16,24,20)c(40,16,12)t(24,40,28)s(16,40,20)*+-
s(32,40,28)s(40,32,28)c(32,32,20)t(32,32,12)-+-
c(40,40,20)s(40,32,28)t(48,32,12)-+s(32,24,28)-
s(24,48,20)c(40,40,20)c(32,32,28)s(48,16,20)*+-
s(16,48,12)s(32,32,20)c(24,24,20)*c(40,24,20)*+
s(48,48,12)t(32,40,20)c(24,32,12)s(16,48,12)+++
s(16,48,20)s(24,48,20)*s(40,8,12)+s(24,24,20)+
t(24,32,28)s(32,24,12)-s(32,32,28)s(32,48,12)-+
s(32,16,12)s(16,24,20)+s(40,40,28)s(32,24,28)*+
s(48,32,20)t(40,48,20)s(48,32,12)+t(32,48,12)-*
c(32,32,20)t(24,48,28)s(32,24,20)--s(16,24,12)-
t(32,48,28)s(40,24,28)s(24,24,20)--t(24,32,20)-
s(32,48,20)s(24,24,20)-s(40,32,20)s(32,48,12)++
s(32,40,20)t(32,32,28)*s(16,16,20)-t(32,16,12)+
t(48,56,12)t(40,40,20)s(40,32,20)*+s(32,32,28)*
t(24,40,28)s(24,24,28)t(24,32,28)*s(32,32,20)*-
t(24,56,12)s(24,40,28)s(32,40,28)*t(24,56,12)-+
s(48,16,20)s(48,40,20)s(24,32,20)t(32,40,28)*--
s(40,8,12)s(24,24,28)s(40,40,20)s(48,40,12)--+
s(24,32,28)t(40,16,12)s(24,16,20)+*t(40,24,12)-
s(16,48,12)t(24,40,28)c(24,24,12)+s(24,24,20)*+
t(24,32,20)t(48,16,12)t(40,32,20)s(24,40,20)++*
s(24,32,28)s(40,48,12)-c(16,40,12)s(16,8,12)+-
s(24,48,20)s(40,24,12)s(32,40,20)s(16,32,12)-+*
s(24,40,28)s(40,32,28)*t(24,40,28)s(24,24,20)*-
s(40,48,20)t(16,56,12)s(32,48,20)+s(32,32,28)**
t(32,48,28)t(40,48,20)s(32,24,20)t(40,16,12)-+*
t(24,48,28)c(40,32,12)+t(40,40,20)*s(24,48,12)+
c(16,32,12)t(24,48,12)+s(24,48,20)t(32,56,12)-+
s(32,32,28)c(32,24,20)t(32,48,28)-s(32,40,28)--
s(48,48,20)s(32,32,12)+c(16,40,12)s(48,32,20)+*
c(16,48,12)c(32,32,20)+t(32,40,20)-s(24,32,12)-
s(32,40,28)s(32,24,20)*s(40,24,20)c(32,24,20)**
c(24,40,20)s(32,32,28)s(48,16,20)-s(24,32,20)**
s(40,24,20)s(40,40,28)s(32,24,28)s(32,48,20)-*-
t(48,56,12)c(32,24,20)+s(32,40,20)t(24,48,28)*+
t(32,32,28)s(48,48,12)-s(24,16,20)c(40,32,12)++
s(48,48,20)s(32,40,28)t(24,24,20)+t(32,24,12)-*
t(40,48,12)c(40,24,12)+c(24,24,12)-s(40,16,12)+
s(32,32,28)s(48,32,20)c(32,32,20)*-t(32,48,28)*
s(40,16,12)c(40,32,20)c(24,32,12)-t(32,32,28)-+
t(24,32,28)t(32,32,28)+s(32,32,28)+t(40,24,20)-
c(32,40,20)s(32,40,20)s(40,32,28)+*s(32,32,12)-
s(16,16,20)s(32,40,28)+t(24,40,28)s(48,40,20)-*
c(24,40,20)t(32,32,28)t(24,24,12)-s(48,40,12)--
s(40,16,20)s(24,32,28)s(32,48,12)-s(32,16,12)--
t(32,40,28)t(40,16,12)+t(40,40,20)-t(48,16,12)-
s(40,48,12)s(40,40,20)s(16,24,12)c(24,40,20)+*+
t(16,40,12)s(32,48,20)+s(32,24,28)-t(32,40,20)-
t(24,40,28)c(24,40,20)s(40,24,28)*-s(16,48,12)-
s(48,16,20)t(32,24,12)+c(24,40,20)-s(48,24,20)*
s(24,16,20)s(32,24,28)t(40,40,20)-t(32,40,20)-*
t(24,32,28)c(32,40,12)-c(32,32,20)s(40,40,20)*-
s(32,16,12)s(8,32,12)s(40,8,12)s(32,40,20)+++
s(24,40,20)t(32,24,12)-t(32,48,20)-s(16,24,20)+
s(24,24,20)s(40,16,20)s(32,24,28)s(24,32,20)*--
s(32,24,28)t(16,16,12)-s(48,32,20)+s(32,32,28)*
c(32,24,20)s(24,40,12)-c(40,24,12)s(32,40,12)+*
c(24,24,12)s(48,24,12)s(32,16,20)++s(32,32,20)*
t(32,24,20)t(32,32,28)c(24,24,20)s(32,32,28)***
t(40,48,12)t(32,32,12)+t(40,16,12)+t(24,32,20)-
s(40,40,28)s(32,40,28)*s(48,40,20)t(48,24,12)+-
s(32,32,20)t(16,32,12)-c(40,32,20)c(24,40,20)--
t(16,56,12)c(40,48,12)t(16,16,12)++s(32,32,28)*
t(32,40,28)s(32,32,28)s(40,24,28)s(40,24,12)-**
s(16,48,12)s(24,40,28)s(32,32,28)s(40,48,12)-*+
s(40,32,28)t(16,16,12)c(32,32,20)c(16,16,12)-+*
t(24,40,28)s(40,32,28)*c(32,24,12)t(32,16,12)+-
s(24,24,20)s(16,8,12)-s(40,32,20)s(48,16,20)--
c(24,24,20)c(24,32,12)-c(24,24,12)c(16,32,12)+-
c(32,32,20)s(32,24,28)c(40,24,20)*s(40,16,20)**
c(40,24,20)s(32,32,28)s(40,32,28)c(48,24,12)-*-
s(48,48,20)c(40,32,12)+s(40,48,20)s(32,24,28)-*
t(32,48,28)t(24,48,20)-s(32,40,12)-s(24,16,12)+
s(16,8,12)t(32,32,12)s(24,32,12)++s(32,24,20)*
s(24,24,20)c(24,24,20)c(40,16,12)-*t(24,32,28)*
t(40,24,20)s(40,24,28)s(24,40,20)s(32,32,28)*-*
s(40,16,12)c(16,32,12)+t(40,32,20)t(40,48,20)+-
s(40,16,20)c(24,32,20)+s(32,48,12)-s(24,24,28)*
s(16,48,12)s(40,40,28)+t(24,40,20)-t(32,40,28)-
t(40,32,12)s(24,40,28)s(48,32,20)s(48,24,20)*-+
t(24,24,20)t(48,40,12)t(24,40,28)++c(24,24,20)-
s(40,32,20)s(40,24,28)s(48,32,20)c(40,40,20)*-+
s(32,40,28)s(16,24,12)s(32,32,20)s(40,32,20)*+*
s(32,40,20)s(48,16,20)t(24,48,28)+*s(32,32,20)+
s(48,32,12)t(16,40,12)+s(32,24,20)s(40,40,20)-+
c(48,40,12)c(48,16,12)+c(32,24,12)s(40,32,20)+*
c(32,32,28)s(40,24,28)-s(32,40,28)*s(32,40,12)-
s(40,24,20)s(32,32,28)c(16,24,12)-*s(40,16,20)*
s(40,40,28)s(24,40,28)*s(48,24,20)-s(16,24,12)+
t(24,16,12)t(32,40,20)c(32,32,20)t(24,32,28)**+
t(32,32,20)s(48,24,20)+c(24,32,20)+s(40,40,28)*
s(32,40,28)s(32,16,20)s(32,32,28)+s(48,16,12)-*
s(24,24,20)t(40,56,12)s(24,32,20)+t(24,48,20)+*
c(24,32,20)t(16,56,12)c(32,32,28)s(16,32,20)*+*
s(40,24,28)s(48,40,20)*s(24,8,12)+c(40,16,12)+
s(40,16,20)c(24,32,20)s(48,24,20)-c(24,24,20)*-
s(32,32,28)t(24,40,28)c(40,40,12)-c(40,16,12)+*
t(24,40,20)t(32,32,20)+t(24,32,28)s(24,16,12)-+
s(8,16,12)c(24,48,12)s(32,24,28)+c(24,40,20)-+
s(24,24,12)c(24,40,20)t(32,32,12)-+s(40,24,28)-
c(40,32,12)t(16,56,12)+s(40,8,12)s(24,40,28)+*
c(48,24,12)s(32,40,12)t(32,24,12)++t(40,48,20)-
c(40,24,20)t(32,32,28)t(32,32,12)-t(40,48,12)+*
s(8,48,12)c(24,40,20)s(24,8,12)s(16,24,20)+-+
s(24,32,20)s(40,16,20)t(24,56,12)t(24,40,12)++*
c(32,32,28)s(16,24,20)s(32,24,20)t(40,24,20)-+*
t(48,32,12)s(16,32,20)+t(48,48,12)s(40,16,20)+-
s(24,32,28)c(24,24,20)s(40,32,28)*c(48,16,12)++
s(32,16,20)c(24,40,20)s(16,48,20)--s(32,24,28)*
s(16,40,20)s(40,16,20)s(24,32,20)+s(48,24,20)-*
t(40,32,20)t(32,48,28)s(48,48,20)s(40,48,20)**-
c(32,24,20)s(32,16,12)-s(8,24,12)t(48,32,12)+-
c(24,40,20)s(16,40,20)s(40,40,12)+c(40,48,12)-*
s(24,48,20)s(32,32,20)+s(24,24,28)*c(32,40,20)*
s(24,40,28)s(32,40,28)+c(40,24,12)s(32,32,20)+*
s(24,40,20)s(16,40,20)s(32,40,28)*t(32,32,20)+*
s(40,24,28)t(40,16,12)-c(48,48,12)c(24,32,12)+-
s(16,16,20)s(16,24,12)c(24,24,20)c(32,24,20)*+*
t(24,16,12)s(48,48,20)c(40,16,12)++s(32,24,20)*
s(24,48,20)c(32,40,12)s(32,40,20)s(40,32,20)-+-
t(32,40,28)s(16,24,20)-s(24,40,20)*c(16,24,12)+
s(48,48,12)s(24,32,20)c(40,40,12)-s(24,40,28)*+
s(16,40,20)s(48,24,20)s(40,40,20)c(16,40,12)++*
s(16,24,12)c(24,32,20)s(48,48,20)-s(24,40,20)*+
t(24,48,28)c(32,32,28)s(48,32,12)-*t(24,40,28)*
t(32,48,20)s(48,24,20)s(40,16,12)-+c(32,40,20)+
s(8,32,12)s(48,24,12)+t(24,24,20)+c(40,48,12)+
c(24,24,20)s(32,40,28)*s(32,32,28)s(32,32,20)--
s(24,40,28)s(24,16,20)s(40,40,12)+*s(32,40,12)+
s(16,40,20)s(40,16,20)s(32,48,12)+s(24,32,28)+*
s(16,24,20)c(24,24,20)s(8,48,12)+s(40,32,12)-*
s(40,32,12)s(32,32,20)s(40,32,20)*s(32,40,20)*+
c(32,32,20)s(32,32,20)s(40,8,12)s(40,40,20)+--
s(40,40,20)c(32,40,20)s(32,40,12)-t(40,40,20)-+
c(16,40,12)s(40,40,20)+s(32,40,28)*t(40,48,20)*
s(32,16,20)s(32,32,28)+s(24,24,28)*c(16,40,12)-
c(40,40,20)s(24,32,20)s(16,48,20)++s(32,24,20)*
c(32,40,20)s(48,40,12)-c(32,24,20)s(40,24,28)+*
s(16,40,20)c(32,40,12)t(32,48,28)s(40,40,20)*+-
s(40,24,28)c(32,40,20)s(48,48,12)+s(48,24,20)+*
s(24,32,28)s(24,48,20)t(48,56,12)c(24,48,12)+*-
s(48,24,20)s(32,8,12)+t(24,32,20)+s(32,40,28)*
s(32,8,12)c(40,32,20)s(32,16,12)-+s(24,24,20)-
s(32,32,20)t(24,16,12)s(48,24,20)c(40,32,20)++*
c(24,32,12)s(24,48,12)+s(24,24,28)s(16,24,20)--
t(40,48,20)c(40,32,20)s(24,24,28)*t(32,48,20)+*
c(24,40,20)t(32,40,28)s(40,16,20)+*s(32,48,20)*
s(16,48,12)s(24,48,20)c(16,40,12)-+c(24,32,12)-
s(32,40,20)s(40,24,20)-s(16,16,12)+c(32,40,20)*
t(32,32,20)s(48,48,12)+s(40,32,28)*s(40,24,12)+
t(32,32,20)c(16,48,12)+t(48,40,12)+s(16,40,20)*
s(32,32,20)s(32,24,28)c(16,16,12)-+s(40,40,28)*
c(32,32,20)t(32,32,28)c(32,32,28)t(32,48,28)*--
s(40,48,20)s(24,48,20)*t(40,24,20)+t(32,48,28)*
c(40,32,20)t(24,48,28)s(24,32,28)*-c(32,32,12)+
t(32,40,28)c(40,48,12)s(24,32,28)+c(40,40,12)-*
c(40,32,20)t(32,48,12)c(40,48,12)+t(48,40,12)+-
s(32,32,28)c(24,24,20)c(16,40,12)-t(32,16,12)-*
t(32,24,20)t(40,24,12)t(24,32,20)++c(40,40,12)-
t(24,48,28)c(32,24,20)-c(40,40,20)-c(48,32,12)+
s(32,24,28)c(16,40,12)-s(32,40,28)s(40,48,20)*-
s(40,40,28)t(48,32,12)-c(40,24,20)-s(16,48,20)+
t(24,40,28)t(40,40,20)t(48,56,12)+-c(40,40,20)-
c(32,40,12)t(40,24,12)+s(16,48,20)-t(32,40,20)+
s(32,32,28)s(48,16,20)s(40,24,20)*s(24,40,20)+*
s(48,48,20)t(40,40,12)-t(32,40,12)+s(32,24,28)-
s(32,24,28)c(40,24,20)s(40,16,20)s(24,32,20)-**
t(40,24,20)s(24,32,28)+s(24,40,12)-c(32,48,12)-
s(24,48,20)s(32,48,20)s(16,32,12)+*t(40,32,20)+
s(40,32,20)c(24,48,12)c(24,40,12)c(32,48,12)+++
c(40,24,20)t(32,32,20)*s(48,32,12)+s(16,16,20)+
c(24,32,20)c(24,40,20)t(24,24,12)-s(16,24,20)--
c(48,40,12)t(24,48,28)t(40,48,12)c(48,40,12)+-+
s(48,24,12)s(24,32,28)+s(40,32,28)c(32,40,20)*-
t(32,32,28)c(24,32,20)*c(24,24,20)*t(32,56,12)+
s(48,8,12)t(32,24,20)t(16,32,12)++s(32,8,12)-
s(40,48,20)s(24,16,20)+t(32,48,12)t(48,40,12)+-
c(40,24,20)s(16,32,12)+c(32,32,28)c(24,32,20)-*
s(32,32,20)c(24,32,20)c(32,40,20)c(32,16,12)+**
c(48,40,12)s(32,40,20)c(16,40,12)-+s(40,40,20)*
s(40,48,20)s(48,24,20)+s(32,32,28)c(48,40,12)-*
s(24,40,12)t(48,24,12)+t(24,40,28)c(16,40,12)--
c(32,32,20)t(24,32,12)-c(48,48,12)-c(40,24,20)*
t(32,48,12)t(24,32,12)+s(8,32,12)+s(32,40,28)+
t(32,56,12)c(40,32,20)+s(40,24,28)+t(40,48,20)-
t(24,40,28)s(24,40,28)s(16,40,20)--c(24,40,20)*
c(24,24,20)c(40,32,20)t(24,32,28)*-t(48,16,12)+
c(24,40,20)s(16,48,12)s(32,32,28)s(40,40,20)*+*
t(32,32,28)c(24,32,12)t(32,48,12)+c(16,16,12)+*
s(16,24,20)c(32,32,28)s(24,8,12)s(48,8,12)+-*
c(32,32,20)t(32,48,20)t(32,32,28)+*t(24,32,20)*
s(16,48,20)s(24,24,12)+c(16,16,12)c(32,16,12)+-
s(40,40,28)s(24,40,28)s(40,24,12)-*s(40,32,28)+
s(48,24,20)s(24,24,20)-c(40,24,20)s(40,32,28)**
s(40,32,28)s(32,32,20)s(8,40,12)+t(40,40,12)-*
s(16,32,20)t(24,24,20)c(40,24,20)+s(16,24,20)+*
t(40,48,20)t(32,48,28)t(24,32,20)+s(40,24,20)+*
s(40,40,28)s(16,32,12)+t(24,40,28)s(24,24,28)*-
s(48,40,20)t(32,40,28)c(48,48,12)-+s(8,24,12)+
c(40,24,20)c(16,48,12)+t(32,48,28)-s(32,40,12)+
t(24,48,12)s(24,32,20)+s(32,40,28)*s(24,32,20)*
s(40,40,28)t(40,40,12)c(48,48,12)+-s(32,32,28)*
t(16,24,12)c(24,40,12)+s(16,24,20)+s(32,24,20)*
s(24,40,20)t(32,32,20)-c(24,16,12)c(16,40,12)++
c(48,48,12)s(32,32,28)c(40,40,20)*s(32,48,12)-+
t(40,40,20)t(32,40,28)c(32,32,20)*s(16,40,12)-*
t(32,32,20)t(24,48,20)+s(24,32,12)-s(16,32,20)+
s(40,40,20)s(24,32,12)t(40,16,12)+s(40,48,12)+-
c(24,40,20)s(48,40,12)+t(24,48,28)+s(32,24,28)*
t(24,32,20)s(32,48,20)+s(24,24,20)t(32,24,12)-+
c(40,40,20)t(24,40,28)s(32,32,20)+c(40,16,12)--
s(16,48,20)s(32,24,20)t(40,24,20)-t(24,40,28)+*
t(32,48,28)c(24,48,12)c(40,24,20)+s(32,40,12)--
c(24,40,20)s(32,32,28)s(24,48,20)-+c(40,40,20)-
c(24,40,20)s(32,32,20)s(40,40,28)+c(24,32,20)**
s(8,40,12)t(16,48,12)+s(40,24,28)t(24,40,28)*+
s(16,16,12)t(32,32,28)s(16,24,20)s(24,40,12)+*+
t(24,40,28)s(32,24,20)s(32,24,28)s(48,16,20)*+-
t(40,32,12)s(16,24,20)c(24,40,20)+c(40,32,20)*+
s(40,32,28)c(40,48,12)-s(32,24,12)-c(40,24,20)*
s(40,24,20)t(24,40,20)-c(40,24,20)s(32,24,20)**
c(48,24,12)t(24,40,20)+s(40,40,20)t(16,24,12)+*
s(16,32,20)c(32,32,28)*s(24,24,12)-c(40,32,20)+
t(40,16,12)c(24,32,20)s(16,24,20)t(24,24,20)*-+
c(32,32,20)t(32,40,28)*t(24,40,28)t(32,48,20)*+
c(16,32,12)c(32,24,20)s(32,16,20)*+s(24,40,12)-
c(24,32,20)s(24,40,28)*s(48,32,20)+s(40,24,20)*
t(40,40,20)s(32,40,28)c(40,32,20)s(40,48,20)-*+
c(32,40,20)s(24,32,28)c(16,16,12)-c(24,32,20)**
s(24,32,20)s(48,16,12)s(24,40,12)+-c(24,16,12)+
t(40,32,12)c(16,32,12)+t(24,32,28)+t(32,24,12)-
s(48,24,20)t(24,48,28)+t(16,56,12)-s(16,32,20)-
s(24,48,12)s(24,24,20)s(16,48,12)+s(24,32,28)*+
t(32,48,20)c(24,16,12)c(40,32,12)+-c(32,40,20)*
s(40,16,20)s(48,24,12)-t(40,32,20)c(32,32,12)+-
c(32,32,28)c(24,48,12)-s(40,16,20)-s(40,32,28)*
s(32,40,28)s(48,8,12)+s(16,48,20)c(32,32,20)--
c(32,16,12)t(32,48,28)+s(24,24,28)t(32,40,28)--
s(32,16,20)t(32,24,20)*t(40,32,20)s(32,16,12)-+
s(8,40,12)s(40,32,12)s(24,40,20)+t(40,32,20)-+
s(48,40,20)s(40,32,28)s(24,16,20)+s(32,40,20)-+
s(16,24,20)s(16,40,20)+s(32,24,12)+c(24,48,12)-
t(32,48,28)s(24,32,28)+c(24,16,12)-s(40,32,28)-
s(32,32,20)c(24,24,20)t(32,32,28)s(8,48,12)+**
s(24,16,20)s(16,16,20)s(8,32,12)-*t(24,40,28)-
s(48,32,20)c(40,32,20)*s(8,40,12)s(40,16,20)++
c(40,16,12)t(16,48,12)s(48,40,12)++s(40,32,20)-
t(32,40,20)t(48,40,12)+s(48,32,20)s(24,32,20)+*
s(24,24,20)s(40,40,20)-t(40,48,12)+s(24,24,28)*
s(32,24,28)t(48,24,12)-s(40,24,28)c(40,48,12)+*
t(48,56,12)s(40,40,20)t(48,24,12)-+s(40,48,20)*
c(32,24,20)t(16,32,12)-c(32,32,20)*s(32,40,28)*
s(32,32,28)s(40,32,28)c(40,32,12)-s(32,40,20)*-
t(32,32,28)c(32,40,20)c(32,32,28)t(32,40,20)-**
c(40,24,20)s(40,24,28)s(32,24,12)-s(24,24,20)-*
s(40,40,28)t(32,40,28)c(32,32,20)*-c(32,32,20)-
c(32,24,20)s(40,24,28)s(40,40,12)-c(32,32,20)--
t(32,32,20)c(48,48,12)+t(24,32,12)c(24,48,12)++
c(48,32,12)s(32,32,20)+s(32,8,12)t(32,24,20)+-
c(32,24,20)c(40,40,20)t(32,48,28)t(40,40,20)+*+
c(32,32,20)s(40,8,12)s(16,24,12)+-s(32,16,12)+
s(24,40,20)t(40,32,20)-t(24,24,12)s(48,32,12)++
t(24,40,28)t(24,32,28)*c(32,32,12)t(32,40,20)+*
c(24,24,20)s(40,24,20)t(32,32,28)c(16,24,12)-*-
c(32,32,28)c(16,40,12)-t(40,32,20)c(32,24,20)*-
s(32,32,28)s(16,48,20)s(32,32,20)c(24,40,20)*+*
s(24,48,20)t(48,32,12)+t(32,48,28)s(48,16,20)+*
s(32,24,20)s(40,32,20)t(40,48,20)s(16,16,12)+--
t(24,40,20)c(32,32,20)s(32,48,20)c(16,48,12)+*+
s(40,24,28)t(32,32,28)s(32,32,28)t(40,40,20)-**
t(24,48,20)s(32,16,12)+s(48,16,20)-t(32,40,12)-
t(40,32,20)s(32,24,12)-s(32,40,28)c(32,24,20)*+
s(32,40,28)t(24,32,20)-t(24,48,28)-t(48,56,12)+
s(32,40,12)s(8,16,12)+s(48,24,20)c(32,32,28)*+
c(24,24,12)c(24,40,20)c(24,32,20)*+t(40,24,20)-
t(40,32,12)s(40,16,20)t(40,24,20)-+s(48,8,12)-
c(24,32,12)s(8,32,12)+c(24,24,20)*s(40,32,28)+
t(32,32,28)t(24,40,12)-s(40,24,20)s(32,40,12)+*
t(24,48,28)s(48,16,20)c(32,48,12)+c(32,40,20)+*
s(24,40,12)s(40,32,28)t(32,24,20)*s(32,8,12)-+
s(32,16,20)t(16,56,12)s(48,16,20)+-s(16,24,20)+
s(40,24,28)c(40,40,20)s(32,40,28)*s(16,32,12)+*
s(32,48,20)c(32,32,20)t(32,24,20)-*s(24,48,20)+
c(40,32,20)t(24,32,28)*s(24,48,20)+s(32,32,20)*
t(24,48,28)s(32,40,20)-s(48,48,20)+t(32,24,20)+
s(40,32,20)c(48,16,12)-t(32,32,20)c(32,16,12)+*
s(24,48,20)s(32,48,20)*t(40,24,20)t(40,32,12)-+
s(32,40,20)s(32,16,20)s(32,32,28)*-c(16,40,12)-
s(24,24,20)t(24,24,20)s(24,8,12)t(24,40,20)++*
s(24,24,28)s(40,16,20)c(24,32,20)+*s(40,16,20)*
s(48,48,20)s(48,40,20)*s(32,40,28)t(40,24,12)-*
c(32,40,20)s(24,40,28)+s(24,24,28)+t(24,48,28)-
s(40,32,28)c(32,32,28)c(32,48,12)-*s(40,32,12)-
t(24,48,20)c(40,24,12)+t(24,32,28)s(24,16,12)--
s(24,16,12)s(40,48,20)+t(24,40,28)t(32,40,20)*+
c(48,40,12)c(24,32,20)+t(24,48,28)+s(16,16,20)-
c(40,32,20)t(32,24,12)-s(40,48,20)*c(24,32,12)-
s(40,40,28)t(24,32,28)-s(48,32,12)-t(32,48,28)*
s(40,24,20)c(40,32,20)*s(32,40,28)c(24,40,12)-*
c(40,32,20)t(40,16,12)s(48,32,20)+t(32,48,20)+*
s(48,48,20)t(24,40,12)+s(24,40,28)c(32,32,20)*-
s(40,40,28)s(32,48,20)t(32,40,28)t(32,48,20)*--
t(32,24,20)t(40,24,12)-s(16,16,20)+t(24,24,20)-
c(48,32,12)c(48,48,12)+t(24,32,28)-t(48,24,12)-
s(40,40,28)t(24,32,28)s(32,40,20)+s(32,24,20)**
t(16,32,12)s(16,16,12)s(48,48,12)++s(24,40,28)-
s(40,24,20)s(48,40,12)+s(32,40,12)-s(48,16,12)-
c(24,40,20)s(24,32,28)*t(32,40,28)t(40,48,20)++
s(40,40,20)t(48,16,12)+s(16,16,20)t(24,48,20)+-
s(32,16,20)c(32,24,20)s(32,40,20)s(32,32,20)+**
t(24,40,20)s(48,8,12)+t(48,56,12)+s(40,32,28)+
s(24,40,28)t(48,16,12)c(32,40,20)s(32,24,20)-+-
s(40,16,20)t(24,48,20)t(32,40,28)s(32,32,28)*+-
s(32,32,20)t(24,40,20)s(48,48,12)+s(16,24,20)--
t(24,40,20)s(40,24,28)s(24,32,28)*s(40,8,12)++
s(40,40,20)s(16,16,12)+s(32,40,28)*c(40,24,12)-
s(40,16,12)s(32,48,20)s(24,32,12)++s(24,32,28)*
t(32,48,20)s(32,24,28)s(32,40,12)-+c(40,40,20)*
t(24,48,20)s(32,48,20)*s(24,32,28)+t(24,40,20)-
t(24,40,20)c(24,32,20)s(24,40,28)s(40,32,12)-**
s(32,24,28)s(40,24,12)-c(40,24,20)s(32,32,28)**
c(32,40,20)s(32,32,28)s(48,40,20)*-c(32,32,12)-
c(32,32,20)s(48,24,20)t(32,48,20)+s(48,48,20)-*
c(32,32,28)s(16,40,20)*s(32,24,12)t(16,32,12)+-
s(40,16,20)c(24,24,20)*t(24,40,28)s(40,40,28)*+
s(40,24,20)c(24,40,20)s(32,48,20)*+t(40,40,12)-
s(40,40,28)c(48,24,12)s(8,48,12)+-t(32,32,20)-
t(32,24,20)s(24,16,20)c(48,32,12)+c(32,24,20)-+
c(32,24,20)s(40,32,12)-s(48,16,12)-s(24,48,20)+
c(32,24,20)t(24,48,28)s(24,32,28)-c(40,40,20)+*
s(24,16,20)t(40,24,20)+s(32,32,20)+s(40,40,28)*
s(48,40,20)t(32,32,28)c(32,40,20)*t(40,32,20)*-
s(32,24,20)s(40,24,28)t(40,56,12)s(48,24,20)+--
s(40,24,28)s(32,40,20)s(16,16,20)c(40,32,20)-+*
c(32,40,12)t(40,56,12)+s(48,48,12)-s(48,24,20)-
s(40,24,28)s(24,32,28)-s(32,24,20)s(40,32,20)--
s(32,24,28)c(24,32,12)t(32,56,12)t(24,24,20)++*
c(24,16,12)s(24,32,20)+t(40,24,12)s(16,24,20)+*
s(32,24,28)t(16,16,12)-s(32,40,28)*c(32,48,12)-
s(24,24,20)s(16,24,20)+s(40,16,20)s(40,24,20)+*
c(40,32,20)c(24,24,12)+t(16,40,12)s(32,48,20)+*
s(24,32,12)c(24,48,12)+s(32,32,28)t(24,24,12)-*
c(48,32,12)t(48,24,12)+s(48,32,20)c(32,24,12)-*
t(24,40,28)s(32,32,20)*t(40,32,20)+c(40,16,12)+
t(24,40,28)s(40,16,20)t(48,16,12)-+s(16,24,20)+
s(32,40,28)t(32,24,12)s(40,24,28)s(32,40,20)*+-
c(32,32,20)s(32,24,28)c(24,24,20)s(40,32,20)*-*
t(24,48,12)c(40,32,12)s(40,16,20)++c(40,24,20)*
c(32,24,20)c(24,40,20)s(40,24,20)++c(32,40,20)*
c(40,40,20)c(40,24,20)+t(16,32,12)t(40,48,12)++
s(24,40,20)s(32,24,12)+s(40,24,28)*c(16,32,12)-
s(24,32,20)s(40,48,12)c(24,32,20)t(32,40,20)-+*
s(32,40,28)c(40,32,20)s(32,40,20)*s(16,16,20)+*
s(24,32,20)s(24,24,28)s(40,24,28)**s(40,16,12)-
s(48,16,20)t(32,40,28)c(48,40,12)-c(32,32,20)*-
s(32,32,28)t(32,40,28)*s(16,24,20)+s(48,24,20)+
t(32,40,28)c(24,40,12)-s(24,32,28)s(8,32,12)-*
t(16,32,12)c(40,40,20)+s(40,24,28)*s(40,24,20)*
s(24,32,28)s(16,24,20)*c(32,24,20)c(32,32,12)--
t(32,40,28)s(24,32,28)s(24,40,28)t(16,24,12)-**
c(32,32,28)s(16,32,20)t(48,56,12)+-s(32,32,20)*
s(24,24,28)s(40,32,28)c(24,48,12)-t(32,48,20)-*
s(24,32,20)s(8,32,12)+c(32,48,12)c(32,24,20)+*
c(24,40,20)c(40,24,20)+t(32,48,20)*s(24,24,28)+
t(32,32,28)s(24,24,28)*c(24,48,12)-t(24,56,12)+
t(16,24,12)t(32,32,28)t(40,16,12)t(32,40,20)+*+
c(32,32,28)c(40,24,12)t(24,48,20)+-s(48,32,20)+
s(16,32,20)s(16,48,12)+s(32,40,20)-t(32,24,12)+
s(48,24,20)t(32,24,20)-s(32,16,12)+s(24,24,12)-
s(40,24,28)s(24,40,28)s(16,24,12)c(24,32,12)+*-
s(32,40,28)c(40,40,20)c(16,48,12)c(24,24,12)+-*
s(32,48,20)s(16,16,20)+c(24,24,20)*s(40,16,20)+
s(16,24,20)t(24,32,28)*s(32,32,28)s(24,48,20)*-
s(24,32,28)c(24,24,20)s(32,16,12)s(32,48,20)+**
t(24,24,20)s(32,24,28)s(40,24,28)s(48,16,20)**+
s(24,32,20)s(40,16,12)s(24,40,12)+t(24,40,20)+*
t(24,48,12)s(32,24,20)s(40,40,20)c(32,24,20)*++
s(40,40,28)c(40,24,20)c(32,24,20)s(40,24,12)-*-
s(40,48,12)c(24,32,20)t(24,40,28)*s(16,32,20)*+
s(32,32,28)s(16,32,12)t(40,24,12)t(40,56,12)++*
s(40,48,20)s(32,24,20)-s(40,24,12)c(24,32,20)++
s(8,32,12)t(40,24,20)s(40,40,20)s(48,32,12)--+
c(32,32,20)s(40,40,20)*t(32,40,12)-c(48,40,12)+
t(24,48,20)s(24,24,20)+s(24,24,28)s(40,24,20)**
t(24,32,28)s(32,24,20)+s(16,32,20)c(24,40,12)--
t(32,24,20)s(40,32,20)+t(32,48,20)+s(8,24,12)+
s(16,32,20)s(24,32,28)c(24,24,20)*t(40,24,20)-*
s(40,40,28)c(32,24,20)s(48,24,20)*s(16,32,20)++
c(32,24,12)t(16,40,12)+s(16,40,20)s(48,24,20)+*
t(24,48,28)s(24,32,20)-t(24,40,20)t(40,48,20)--
t(32,16,12)s(8,48,12)s(32,32,28)s(40,16,20)-++
s(32,40,20)t(24,48,12)s(32,32,20)+*s(24,16,20)-
c(32,32,20)t(48,32,12)-s(48,48,20)s(32,40,28)*+
t(48,48,12)t(32,40,20)+s(32,48,20)s(24,40,28)**
s(48,24,20)s(48,32,12)-s(48,40,20)t(24,32,28)-+
t(32,40,12)s(8,24,12)+t(40,24,20)+c(24,40,20)-
s(16,24,20)t(24,48,28)+s(24,32,28)*c(32,32,20)*
c(32,24,20)s(16,48,20)t(32,48,12)+s(16,32,20)*-
s(32,48,20)s(24,24,28)c(32,40,20)*+s(24,48,12)-
s(40,24,20)c(32,24,12)t(40,32,20)+t(40,24,20)*-
s(24,40,20)t(32,32,20)+s(40,48,20)+s(24,24,20)-
s(24,40,20)c(32,40,12)s(32,24,12)++t(24,24,20)-
t(32,32,28)s(48,40,20)t(32,48,12)s(48,32,12)++*
c(24,24,12)t(48,40,12)+t(40,40,12)+t(16,24,12)-
t(32,40,28)t(40,32,20)+c(24,40,20)-c(48,24,12)+
s(32,48,20)c(32,40,20)s(48,32,20)s(40,16,20)+*-
s(24,16,12)t(24,40,20)s(24,16,20)-+s(40,32,28)+
s(40,32,28)c(32,32,20)s(40,32,12)-*s(40,48,12)-
c(24,24,20)t(24,40,28)s(8,32,12)t(40,56,12)+-*
s(40,32,28)t(24,48,20)c(40,32,12)+s(48,24,20)--
s(40,24,20)s(40,32,12)t(32,32,28)s(24,32,20)*+*
s(24,32,20)s(40,16,20)-s(32,32,20)s(48,16,20)++
c(40,32,20)t(32,40,20)-s(40,32,20)t(24,40,20)-*
t(24,32,28)c(32,32,12)-s(32,32,28)s(40,32,28)+*
c(24,40,20)t(24,40,12)s(40,32,20)t(24,48,20)-+*
c(24,32,20)s(24,32,20)s(40,24,20)+*t(24,48,28)-
t(40,32,20)c(24,32,20)t(40,48,20)-s(40,48,20)+*
s(40,32,28)c(32,32,20)s(40,24,20)+*s(8,32,12)+
t(24,48,20)s(16,40,20)s(40,32,28)s(40,48,20)--+
s(48,16,20)t(24,40,20)t(40,32,12)+s(32,40,20)++
s(48,48,20)t(32,24,20)c(40,40,12)+-t(24,24,20)+
c(32,32,28)t(24,48,28)*c(32,40,12)t(24,32,20)+*
s(24,48,20)s(48,32,12)+s(16,40,20)c(16,24,12)--
s(40,24,28)c(40,40,12)-s(40,40,12)+s(32,32,28)*
c(40,40,12)c(24,16,12)+s(32,48,12)-s(32,16,12)-
c(48,24,12)c(16,24,12)+s(24,32,28)s(8,48,12)-*
c(32,32,28)s(40,24,12)-s(16,16,20)s(32,24,28)**
t(40,32,20)s(40,32,28)t(24,48,28)t(24,40,28)**-
t(24,40,28)t(32,24,12)c(48,48,12)+c(40,32,20)+-
s(8,40,12)s(24,32,20)s(24,48,20)-+s(24,40,28)*
s(40,24,28)s(40,40,28)*c(40,24,20)c(32,40,12)-*
t(32,40,28)s(24,40,20)*s(40,40,12)s(8,16,12)+-
s(8,16,12)s(40,24,20)+c(32,32,28)s(24,40,28)-*
s(48,32,20)s(40,32,20)s(32,24,28)s(48,48,12)+**
s(40,24,20)s(24,16,20)+s(8,24,12)s(32,16,12)++
s(40,32,28)s(32,32,28)*c(16,24,12)s(48,16,20)+*
c(40,24,20)s(32,32,20)*t(32,32,20)s(16,48,20)+*
s(32,16,20)s(16,16,20)t(24,40,28)+*c(40,32,12)+
t(24,32,28)c(16,40,12)s(32,24,20)c(40,32,20)*+*
t(32,40,28)s(40,24,20)s(24,16,20)-+s(40,32,28)*
s(24,32,28)c(16,32,12)-s(16,32,20)s(16,48,20)+*
s(40,32,28)s(24,24,20)*s(24,32,20)s(32,32,20)**
t(32,32,12)s(16,48,20)s(32,40,28)*+s(24,32,20)+
s(40,48,20)c(32,24,12)+s(32,40,28)*c(24,24,20)*
s(48,16,12)t(32,16,12)+s(8,24,12)+s(32,48,12)+
s(40,40,20)c(24,32,20)s(32,40,20)c(16,48,12)+**
s(32,16,20)s(40,40,20)-s(32,32,20)s(16,24,12)--
s(40,48,20)c(32,40,20)t(32,56,12)-*c(40,32,20)*
s(8,16,12)c(24,40,12)+s(32,24,20)t(32,48,28)-+
s(24,32,20)s(32,24,28)t(32,32,12)-+s(40,24,28)*
c(32,32,20)c(48,48,12)-c(40,24,20)s(40,16,20)**
s(48,16,20)c(24,16,12)s(24,32,12)++s(16,40,12)+
t(32,48,28)c(16,48,12)-s(32,32,12)c(40,16,12)+-
t(40,56,12)s(16,24,12)+s(40,32,28)s(40,16,12)--
t(32,40,20)c(16,40,12)+s(24,32,20)t(32,16,12)+*
t(32,40,28)c(40,24,12)-s(40,16,20)c(48,40,12)+-
s(40,8,12)t(24,56,12)+s(16,40,20)s(16,48,20)*-
t(24,40,20)t(32,48,12)s(48,40,12)s(48,8,12)++-
s(16,32,20)s(48,32,12)c(32,48,12)+c(24,40,12)+-
c(32,24,12)s(48,40,12)+s(24,32,20)c(32,32,20)+*
c(32,32,28)s(16,24,20)s(24,32,28)*s(16,32,12)--
s(32,24,20)c(40,40,20)s(40,48,20)t(48,48,12)---
s(48,16,12)t(40,48,20)+t(48,32,12)+c(48,32,12)+
s(32,24,28)c(24,40,20)*c(16,24,12)+t(24,48,28)-
s(24,32,28)c(40,32,20)c(40,24,20)*s(40,16,12)--
s(32,24,28)s(40,48,20)-c(16,16,12)s(48,24,12)+*
t(32,32,28)s(24,32,28)s(48,16,20)+*s(32,24,20)*
c(40,32,20)t(24,32,12)-c(24,40,12)-s(16,48,12)+
t(16,48,12)s(40,16,20)s(40,24,20)c(40,40,12)-*+
t(32,24,20)s(40,32,28)c(16,16,12)t(24,48,12)+-*
t(24,24,20)s(24,24,12)s(48,32,20)+t(48,32,12)-+
s(24,32,20)s(40,48,20)-s(48,24,12)c(24,24,20)+*
c(40,40,20)t(24,40,28)s(48,32,20)-t(32,40,28)**
s(32,16,20)s(32,24,28)c(16,16,12)-*t(32,40,20)-
s(40,40,20)t(16,32,12)t(32,40,20)+s(48,40,20)--
s(40,32,28)s(16,48,20)s(24,40,20)s(16,40,20)**-
s(16,48,20)t(24,40,28)s(40,40,20)--s(32,24,28)-
s(40,24,20)c(24,40,20)c(24,32,20)*-s(8,8,12)+
s(40,24,28)t(24,32,28)*s(40,32,28)t(32,24,20)*+
s(32,40,20)t(32,48,28)c(24,24,20)+c(32,16,12)-*
t(32,48,28)s(8,8,12)s(24,48,20)t(32,24,20)++*
s(24,32,20)t(32,40,12)t(24,40,20)+s(40,24,12)+*
s(48,40,20)c(24,24,20)-t(40,24,20)s(48,40,12)-+
s(24,24,12)t(16,32,12)+s(48,32,20)+s(40,8,12)+
c(24,32,20)t(24,32,28)*c(24,24,20)c(48,24,12)+*
s(32,32,20)s(40,16,12)-s(32,40,28)s(24,24,28)**
s(24,40,20)s(32,24,20)s(40,32,28)*s(48,32,20)--
t(16,16,12)t(24,40,28)s(24,48,20)*+s(40,40,20)-
t(40,32,20)c(32,16,12)+s(16,24,20)s(8,40,12)--
s(40,24,12)c(40,40,20)t(24,48,28)t(32,40,12)--+
s(32,16,20)t(24,40,12)+c(32,24,20)*s(24,24,20)*
s(32,32,28)c(32,32,12)-s(16,40,12)-s(32,24,20)*
c(40,32,12)t(40,40,12)s(16,32,20)+s(48,48,20)-+
c(16,32,12)s(32,40,28)s(16,32,12)-+s(48,16,12)+
s(32,40,20)t(40,48,12)-s(48,16,20)-t(32,24,20)+
s(8,8,12)t(32,32,28)s(32,40,12)-+c(24,40,12)-
t(24,32,28)s(32,24,12)c(32,40,20)s(40,32,20)*+*
c(32,24,12)c(40,24,12)s(24,40,12)++s(24,40,12)-
s(24,40,28)s(24,48,12)s(48,8,12)+s(48,16,12)+-
s(48,16,20)t(40,32,20)c(16,40,12)+-c(48,32,12)+
s(24,24,28)s(40,40,12)-s(48,32,12)+s(16,40,20)-
s(32,24,28)s(32,40,20)c(40,40,20)s(32,48,20)**-
c(40,32,20)c(32,24,20)c(24,24,20)*t(32,16,12)-+
t(16,56,12)s(32,32,20)+s(40,24,28)+c(32,32,28)*
s(32,40,28)c(32,32,20)s(16,24,12)-t(32,32,28)**
c(40,40,12)s(32,32,20)+s(40,24,28)*s(24,40,12)-
t(32,32,28)s(24,32,28)c(32,24,12)-s(16,16,20)+*
s(32,16,12)s(8,32,12)+c(32,32,12)s(40,24,12)+-
s(40,32,28)t(16,24,12)+c(24,32,20)c(48,40,12)+*
c(24,40,12)s(48,24,20)+c(40,24,20)c(40,32,12)-*
c(32,32,28)t(32,40,28)s(40,48,12)-s(16,16,20)--
s(16,16,20)t(32,48,28)s(40,40,28)+-s(32,40,28)-
c(40,40,20)s(32,24,12)-t(32,40,20)+s(32,32,12)-
t(24,40,28)s(40,40,28)s(40,32,12)-s(48,24,20)--
t(32,24,12)t(32,48,12)t(32,40,20)+s(24,40,20)*+
s(40,40,20)t(32,32,28)*s(48,48,20)+t(24,48,28)-
s(32,16,20)c(32,16,12)s(48,40,20)+*s(48,16,12)-
s(48,40,12)t(24,32,20)s(32,32,20)*+s(32,40,20)*
s(40,24,12)s(24,24,20)s(32,32,20)t(48,32,12)+-+
s(24,40,28)c(32,24,20)t(32,24,12)--t(24,48,20)*
s(32,32,20)c(40,32,20)*s(24,16,20)-c(32,24,20)*
s(32,24,12)c(16,16,12)s(32,40,20)+s(32,32,20)-+
s(48,24,20)s(24,24,28)+c(48,40,12)+s(48,40,20)*
s(24,48,20)t(32,48,20)*s(40,32,28)+s(32,24,28)*
s(24,40,28)t(32,40,28)s(40,32,12)-*s(32,48,20)*
s(40,48,20)t(40,48,12)-s(40,16,12)+c(40,40,20)*
c(32,32,20)c(40,40,20)*s(48,24,12)+t(32,32,20)-
c(24,32,20)s(16,24,20)-s(24,24,12)+t(24,32,20)-
c(24,40,12)s(16,16,20)s(40,40,20)s(24,24,20)+-+
s(24,32,20)s(24,24,28)s(40,40,28)--s(48,8,12)+
t(48,56,12)c(32,32,20)s(24,32,20)*t(16,40,12)++
s(32,40,28)s(24,16,20)t(32,40,28)-t(32,32,28)+*
c(32,24,20)c(40,32,20)-t(40,56,12)+t(24,16,12)-
s(40,24,28)t(24,40,20)-s(24,48,12)t(32,32,28)+*
t(32,48,28)s(8,48,12)+c(32,40,20)c(16,24,12)+*
s(40,32,20)s(40,24,28)s(48,40,12)-s(24,40,28)--
c(24,24,20)s(40,32,20)+c(40,24,12)-s(32,40,28)*
s(48,24,20)c(40,40,20)s(48,32,20)t(32,40,20)++*
t(32,32,20)s(32,24,12)t(24,48,20)+s(32,24,28)-+
s(24,24,28)c(24,32,20)*s(32,48,20)-s(48,40,20)-
t(32,40,28)s(32,32,20)c(40,40,20)*s(40,32,20)**
t(24,24,20)s(32,24,20)*s(48,24,20)s(48,40,20)-+
c(24,16,12)t(40,48,20)+t(32,48,28)s(32,32,20)-+
s(40,16,20)s(40,32,12)-t(32,32,20)s(40,48,12)+-
c(24,24,20)t(32,48,12)c(24,40,20)s(32,24,20)*+-
s(32,24,28)s(40,24,28)*s(8,24,12)t(32,32,12)+-
s(24,24,20)t(16,48,12)t(32,40,28)s(24,32,20)*+-
t(24,24,20)t(16,24,12)+s(32,8,12)-c(32,24,20)*
s(16,32,20)s(40,16,20)+c(24,24,20)s(24,40,28)*-
t(24,48,12)s(40,40,20)t(32,40,20)t(48,40,12)+*+
t(16,56,12)c(16,40,12)+t(16,48,12)-t(16,48,12)+
s(48,40,20)s(8,16,12)s(40,32,12)+t(48,16,12)+-
s(24,24,28)s(24,40,20)+c(32,40,20)*s(16,32,20)-
s(40,32,28)s(40,24,20)-s(16,32,12)+s(24,32,12)+
s(24,40,20)s(40,32,28)c(24,32,12)-s(24,32,28)-+
s(16,16,20)s(48,40,20)t(40,24,20)t(40,40,20)+*+
s(32,32,12)s(24,40,12)s(48,8,12)+s(40,16,12)-+
s(24,40,28)s(40,32,28)s(16,40,20)+s(8,8,12)+*
c(32,40,20)s(40,40,28)t(24,48,28)*t(24,24,12)--
s(40,48,20)s(32,24,20)t(40,48,12)+-t(40,32,20)-
t(24,48,20)s(32,32,20)t(32,48,20)s(40,24,20)-+*
c(16,40,12)s(48,48,20)+s(24,32,20)-c(32,32,28)*
s(8,16,12)t(40,40,20)s(48,48,20)s(48,24,20)-++
t(32,32,28)c(40,40,20)t(40,40,20)s(32,40,12)+--
c(32,32,20)t(24,48,28)s(24,32,28)*-t(32,40,20)-
s(40,16,12)c(40,32,20)c(32,40,20)*s(16,24,20)++
t(24,40,20)t(16,48,12)-s(40,40,12)+s(32,48,12)-
s(16,32,12)s(16,16,20)c(40,32,12)+s(24,24,28)*+
c(32,24,20)t(24,32,28)*s(48,32,12)s(24,40,20)+*
c(32,32,28)t(24,32,28)s(40,40,12)--c(24,40,20)*
s(16,16,20)s(24,40,20)+c(32,16,12)-c(32,32,28)*
s(24,40,20)s(40,40,28)s(32,40,28)**c(24,32,20)*
s(32,48,20)s(40,32,20)s(24,24,28)c(24,32,20)*--
c(32,40,12)c(40,16,12)+s(40,24,28)c(48,24,12)-*
s(24,40,28)t(40,48,12)-s(24,48,20)t(16,48,12)-*
s(32,40,20)s(48,32,20)s(40,24,20)*-c(48,32,12)+
s(32,24,28)s(48,32,20)s(32,40,28)*-s(16,8,12)-
c(40,40,20)c(32,32,20)t(32,40,28)s(32,24,20)--*
s(8,40,12)s(48,48,20)s(32,24,28)s(16,24,20)-++
t(16,56,12)c(40,24,20)+c(24,40,12)t(24,24,20)+*
s(32,24,12)s(40,24,12)t(24,48,12)++s(16,32,20)+
s(40,48,12)t(40,24,20)s(24,24,12)+c(16,16,12)-+
s(48,40,20)t(24,56,12)+c(32,32,28)*t(24,48,20)-
t(32,24,20)t(32,32,20)c(32,32,20)s(48,48,20)-+*
s(32,40,20)t(24,40,28)s(8,16,12)t(32,24,20)+-*
t(40,24,12)c(32,16,12)+c(24,24,20)s(24,16,20)*+
t(24,40,28)t(32,48,28)+t(40,48,20)-t(40,32,12)+
c(24,24,20)t(32,32,28)t(24,40,28)s(32,8,12)+*-
s(48,40,12)s(8,32,12)s(48,48,12)++t(24,32,20)-
s(24,24,28)s(16,24,20)-s(24,32,12)+s(40,16,12)-
s(32,40,28)t(32,40,12)c(24,24,12)+*t(40,48,12)+
s(16,24,20)s(16,40,20)s(32,40,28)t(24,32,20)*+*
s(32,8,12)t(32,24,20)+s(16,48,12)s(32,24,20)+*
s(16,16,12)t(32,48,20)+t(32,48,28)t(24,40,28)**
c(32,32,20)s(32,40,12)-s(40,24,28)*s(48,32,12)+
s(8,32,12)t(24,32,20)s(16,48,20)++s(16,24,20)*
c(32,32,28)c(32,48,12)-c(24,40,20)*t(48,24,12)+
s(48,40,20)t(48,56,12)s(48,16,12)+c(32,32,20)++
s(40,40,20)s(24,24,20)s(48,16,20)+s(32,32,20)*-
t(24,32,28)c(24,24,12)-c(24,40,20)*t(48,40,12)+
s(40,32,28)s(32,24,20)t(24,40,20)--c(32,40,12)-
s(24,32,28)s(40,40,12)-s(16,40,20)+t(24,32,20)*
t(24,32,20)t(40,32,20)+s(24,32,28)c(40,32,20)**
c(32,32,28)s(32,48,20)s(24,16,20)+*t(40,40,12)-
s(32,24,28)t(48,16,12)c(16,40,12)+-c(16,24,12)-
s(24,24,28)s(32,40,20)t(40,32,12)-c(32,32,20)*+
c(32,24,20)s(8,48,12)+s(48,32,20)t(32,48,20)-+
s(32,32,20)s(24,16,20)s(24,24,20)*+s(32,40,28)+
c(40,32,20)s(48,32,20)*s(16,32,20)c(32,40,20)+*
s(40,32,28)s(48,24,20)t(24,48,28)t(40,40,12)++*
c(48,16,12)s(16,24,12)+s(24,24,28)*t(24,48,28)+
t(32,48,28)s(32,32,28)c(24,48,12)-+s(48,48,12)-
s(32,32,28)t(32,16,12)-t(32,48,12)-s(32,48,20)*
s(24,16,20)t(24,24,12)t(24,40,20)t(32,40,28)*+-
s(48,16,20)t(32,40,28)-s(16,32,20)+s(16,40,20)+
c(24,32,20)s(32,40,28)c(32,24,20)c(32,32,20)+**
c(40,32,20)s(40,24,12)c(32,24,12)+-s(24,24,20)-
s(24,40,28)c(40,40,20)*s(40,48,12)-s(16,24,20)-
c(40,24,20)s(40,8,12)t(24,24,20)+-s(40,16,20)+
t(32,32,28)t(24,40,28)*s(24,24,20)s(16,16,20)*-
c(32,32,28)s(48,16,20)*t(32,32,20)t(40,48,20)--
s(48,48,20)s(40,48,20)*s(32,32,20)t(32,40,20)*-
c(32,32,28)c(40,16,12)-s(24,40,20)c(16,40,12)--
s(32,24,28)s(16,16,12)-t(32,24,20)s(40,24,20)*-
c(40,24,12)t(48,48,12)+c(40,40,20)c(32,40,20)*+
c(40,32,20)s(40,40,28)*s(8,32,12)+t(40,24,20)-
t(40,24,12)c(24,24,12)s(48,48,20)++s(40,16,20)+
s(40,48,20)s(40,32,28)*c(32,40,12)c(24,48,12)++
c(40,24,12)s(24,40,12)+s(32,48,12)+c(32,40,20)*
s(48,24,20)c(40,40,20)t(40,40,12)s(16,32,12)++*
s(32,24,20)s(40,40,12)c(48,16,12)+c(24,32,20)--
c(24,32,20)s(32,40,28)*c(40,40,20)s(40,32,20)*-
t(24,40,28)c(32,40,12)t(40,40,20)t(40,48,12)-++
c(32,24,20)c(40,16,12)-s(32,32,20)s(40,40,20)+*
c(16,16,12)s(40,24,20)+t(32,32,12)-s(48,24,20)*
t(48,24,12)t(24,48,12)+c(16,40,12)+s(32,40,28)*
s(32,24,12)s(40,48,20)+c(24,16,12)-s(40,32,12)-
c(40,40,12)s(40,16,20)s(8,16,12)+s(48,48,12)++
s(32,48,20)s(40,32,12)-s(24,40,28)*s(32,40,12)-
t(24,48,28)c(40,32,20)s(32,32,20)t(24,32,20)+*-
s(24,32,20)s(48,8,12)+s(40,24,28)s(32,24,28)**
s(40,40,28)s(24,40,28)*s(32,48,20)s(24,32,28)**
c(32,40,20)s(24,40,12)-s(24,48,20)c(32,16,12)+*
c(40,32,20)s(24,16,20)s(32,32,28)*s(32,48,20)+-
t(48,32,12)c(24,32,20)+t(32,24,12)-s(24,32,28)*
s(24,32,20)s(40,40,20)s(24,48,20)--c(24,40,20)*
s(40,40,28)s(40,24,28)+c(16,16,12)s(32,32,20)+*
s(16,32,12)t(24,24,20)+c(32,32,20)c(32,24,20)**
s(48,24,20)s(32,32,28)c(40,24,20)*t(32,24,12)-*
s(16,24,20)c(32,48,12)+t(24,24,12)-c(32,32,20)*
s(32,32,20)c(24,48,12)s(40,40,28)t(24,48,20)-+*
s(16,32,20)s(40,32,20)s(32,40,28)*t(32,32,28)*-
s(48,32,12)c(40,32,20)s(8,8,12)+s(40,48,20)*+
c(24,32,20)c(32,40,20)s(24,32,20)c(32,32,20)*+*
t(16,16,12)s(24,40,20)s(40,32,28)*t(32,48,28)*+
t(24,32,28)t(32,48,20)+c(40,40,20)+s(48,48,20)*
c(24,32,20)c(24,40,20)s(16,48,20)+s(32,40,20)**
s(32,24,20)s(8,24,12)s(40,24,20)++c(16,24,12)-
t(24,24,12)c(32,32,12)+c(24,32,20)c(24,40,20)**
s(24,16,20)t(24,40,20)s(16,8,12)++c(32,24,20)*
c(24,24,20)t(40,16,12)-t(40,16,12)c(32,40,12)+-
s(24,24,28)s(16,8,12)s(32,32,20)++c(32,32,28)*
t(40,32,20)s(40,48,12)+t(32,32,12)s(40,16,20)++
s(40,8,12)c(24,32,20)+s(48,32,20)t(16,32,12)+*
s(24,40,28)t(48,24,12)s(16,32,20)t(32,32,20)-+-
t(48,32,12)t(40,24,20)+c(40,24,20)c(32,24,20)**
c(16,16,12)s(32,24,12)+s(48,40,20)s(40,48,20)*+
t(16,24,12)t(32,48,12)c(40,32,12)++s(40,32,28)*
s(48,48,12)t(24,40,28)+s(24,48,20)+s(16,32,20)*
c(32,32,20)t(40,48,20)t(32,56,12)--s(16,16,20)-
s(40,32,12)s(16,16,20)s(16,32,12)-+c(32,40,20)-
s(24,32,20)s(40,40,28)*s(32,16,20)+c(32,24,12)-
s(40,48,20)t(24,24,12)+s(32,48,20)c(40,48,12)--
s(32,40,20)s(32,40,12)t(24,40,28)t(24,32,12)-+*
s(24,32,20)t(40,48,12)t(24,48,20)+c(32,16,12)++
t(48,16,12)s(32,40,20)s(32,24,20)*+s(32,32,28)*
c(24,40,20)s(48,48,12)+s(24,48,20)s(40,48,12)-*
s(40,40,28)s(24,32,12)-s(48,16,20)-s(24,16,20)+
t(32,24,20)c(48,16,12)+s(24,24,20)t(32,48,28)-+
s(32,24,20)t(40,48,12)+t(32,32,28)c(40,16,12)-*
c(40,32,20)s(40,24,28)t(24,32,28)t(32,40,12)-*-
s(16,48,20)c(40,40,20)t(24,48,28)s(48,32,20)+*-
s(32,32,20)c(32,24,20)s(48,48,20)-s(24,24,20)**
c(24,40,20)c(40,24,12)t(32,32,12)+t(32,32,28)*-
s(32,40,20)t(32,32,28)+s(24,16,20)-c(16,48,12)-
t(16,56,12)c(32,32,20)t(32,40,12)-s(24,24,12)-+
t(32,48,28)s(24,24,28)c(40,32,12)s(32,24,12)+*-
t(40,32,20)t(32,56,12)+s(40,32,28)t(32,32,28)**
s(32,40,20)t(40,32,20)-s(48,32,20)s(40,40,28)*-
c(24,40,20)s(32,16,20)s(32,40,28)s(24,40,28)*+*
c(24,32,20)s(40,32,20)t(40,56,12)+s(48,48,12)-*
s(40,40,20)c(32,24,20)+s(8,48,12)+c(16,24,12)-
s(32,40,20)s(40,32,20)+s(24,24,12)s(16,16,12)+-
c(24,32,20)s(48,8,12)c(40,40,12)+c(48,16,12)+-
c(16,32,12)t(32,32,20)+s(16,32,12)c(40,24,12)+*
c(24,32,20)t(32,32,28)s(24,24,20)t(16,48,12)+*-
s(40,24,20)s(40,24,28)s(32,40,28)s(8,48,12)+*+
c(24,40,20)s(24,48,20)s(16,24,20)s(48,48,20)+-*
s(40,16,20)t(32,48,12)c(16,32,12)++s(40,24,28)*
s(40,32,28)t(32,40,12)-t(24,48,28)+s(24,32,20)*
s(32,24,20)c(32,32,12)-t(32,40,28)s(32,32,28)*+
s(40,24,28)s(32,24,28)s(24,24,28)*t(40,16,12)-*
c(24,24,20)s(32,32,28)c(32,40,20)*c(48,48,12)-*
c(16,32,12)s(32,40,28)t(16,40,12)-s(48,32,20)*+
c(40,16,12)t(40,32,20)+t(32,48,28)s(40,48,12)--
c(24,24,20)s(40,32,20)c(24,32,20)*-s(32,32,28)*
s(32,24,20)s(24,40,28)s(32,32,28)**s(40,16,12)+
s(48,8,12)c(32,16,12)s(40,24,12)+t(24,16,12)-+
t(40,24,20)c(48,40,12)+s(32,40,28)t(40,32,20)*-
s(24,16,20)s(40,24,28)+t(40,48,20)t(24,16,12)+-
s(32,24,20)s(32,24,20)c(32,32,28)c(32,40,20)-*-
s(24,32,20)s(32,40,28)s(48,48,20)-s(40,24,20)-*
s(24,8,12)t(24,32,20)s(16,16,12)-+t(40,56,12)+
s(48,16,20)s(16,48,20)s(48,8,12)+t(24,40,28)--
t(40,32,20)s(16,48,20)s(24,40,20)*s(24,32,28)*-
s(40,40,28)c(32,24,20)s(40,32,28)*-c(48,40,12)-
c(32,32,20)t(40,32,20)-s(48,16,20)-s(40,48,20)-
c(48,32,12)c(24,32,12)+s(24,48,12)s(48,40,20)+*
t(24,40,20)s(48,24,20)+c(24,24,20)t(32,32,28)+-
t(32,24,12)s(48,48,20)t(32,48,28)+s(40,40,12)-+
s(32,32,20)t(32,32,12)-c(40,40,12)+c(24,24,12)-
c(24,24,20)s(40,24,28)*c(32,24,20)s(48,32,20)*-
s(8,24,12)c(40,32,20)+s(16,48,12)+s(24,24,12)-
c(32,40,20)s(32,40,28)s(40,40,20)-*s(32,32,12)-
s(40,24,28)t(40,16,12)-s(48,40,20)*c(40,16,12)+
s(40,24,28)t(40,48,12)+s(32,40,12)s(40,8,12)+*
s(24,16,20)s(8,32,12)+s(16,24,20)c(32,16,12)-*
t(32,40,28)c(40,24,20)-t(24,48,28)s(24,40,28)**
c(48,32,12)t(32,32,28)s(32,40,20)*+t(32,48,20)-
s(16,24,20)t(24,24,20)-c(48,32,12)+t(32,32,20)+
c(24,24,20)t(24,40,28)s(24,32,28)**s(24,40,20)*
s(24,24,20)c(40,24,20)+c(24,40,20)s(32,40,20)**
s(24,24,28)c(32,24,12)-s(32,48,20)s(40,40,28)+-
t(40,32,20)s(48,40,20)c(40,40,12)-+s(24,48,20)-
s(40,40,28)c(40,40,20)t(32,48,20)*c(16,48,12)+-
t(16,32,12)c(32,24,12)+s(32,8,12)+t(32,48,28)-
s(32,40,20)s(16,32,20)+c(32,32,12)-s(40,40,28)*
t(24,32,28)t(40,32,20)c(16,16,12)+s(16,8,12)-*
t(24,40,28)t(40,40,12)-t(32,40,28)c(16,48,12)--
c(40,24,20)s(32,40,20)-c(32,48,12)+s(16,24,12)+
s(48,32,20)s(40,40,20)s(32,16,20)-+c(48,32,12)-
s(24,16,12)c(32,32,28)s(16,16,12)-t(32,48,28)*+
s(32,32,28)s(24,40,28)*s(40,40,20)c(48,32,12)-+
s(40,32,28)s(40,24,28)*s(32,48,12)s(24,16,20)+*
t(24,24,12)t(40,40,20)t(32,48,12)-+s(24,16,12)-
s(32,24,28)s(48,48,12)+s(16,24,20)+t(24,40,28)+
s(32,32,28)t(32,40,28)-s(40,32,20)s(48,40,20)*-
c(40,32,20)c(40,40,20)*s(16,48,12)+s(40,24,28)*
c(40,40,20)t(24,48,20)t(40,24,20)+t(40,48,20)-*
s(40,48,20)s(16,48,20)t(24,48,28)s(32,48,12)-*+
t(24,32,28)s(48,32,20)-s(24,24,20)t(32,16,12)-*
t(24,24,12)s(32,8,12)+c(24,32,12)+c(16,40,12)-
s(24,24,28)c(16,24,12)c(32,32,12)+t(40,24,12)--
s(40,32,20)c(24,40,20)s(48,24,20)s(48,40,20)*--
s(16,16,20)s(16,40,12)+c(16,16,12)t(32,40,28)+-
s(40,32,28)c(24,40,20)t(24,24,12)-t(40,32,12)-*
c(16,24,12)t(32,32,28)+s(16,40,20)t(24,16,12)+*
c(32,32,20)c(40,24,12)t(16,24,12)s(40,40,12)+++
c(32,32,28)c(48,16,12)-c(40,32,20)*s(24,40,20)*
s(16,16,20)c(40,24,20)+c(32,40,20)-c(40,16,12)-
s(40,32,28)c(24,24,20)s(16,40,20)s(32,48,20)--*
s(8,40,12)c(40,32,20)+t(32,24,20)s(32,8,12)-*
s(48,32,20)s(16,32,20)+s(16,16,20)+s(48,32,20)-
c(32,32,28)s(24,40,20)c(24,24,12)-t(24,40,20)*-
s(24,40,28)t(24,32,28)s(32,40,28)t(32,48,28)*+*
t(32,32,28)t(24,40,20)t(32,48,28)+s(48,16,20)++
s(24,32,20)s(32,40,12)s(48,24,20)+c(32,32,28)*-
s(32,32,28)t(32,48,12)s(40,16,20)+c(24,16,12)+*
t(24,24,12)c(32,48,12)+s(32,16,20)s(40,40,20)--
s(24,32,20)c(40,32,20)+t(32,24,20)-t(24,56,12)+
t(32,40,28)c(40,16,12)t(32,24,12)+-s(40,32,28)*
s(16,48,20)s(48,48,20)s(32,40,12)+t(32,32,28)*-
c(48,24,12)t(24,48,20)+s(32,48,20)-c(48,40,12)-
s(24,16,20)c(24,24,20)*c(24,48,12)+t(24,32,28)*
s(16,48,20)t(32,48,28)s(32,40,28)*s(40,32,28)+-
c(24,32,20)s(24,24,20)s(32,32,28)s(48,16,12)-*-
t(40,40,20)s(16,8,12)+c(48,40,12)+c(24,40,20)+
s(16,16,20)c(32,32,28)s(40,24,12)-s(48,40,20)-*
t(32,32,20)t(24,56,12)+s(24,32,20)t(32,40,28)**
s(24,48,20)s(48,16,20)s(48,32,20)*+s(40,40,20)*
s(24,32,20)s(24,32,28)c(40,40,20)*s(40,24,20)+-
s(32,16,20)c(32,40,12)+s(16,16,20)s(8,32,12)-*
t(24,40,28)s(24,24,20)s(24,40,20)*-t(32,32,20)-
s(32,40,20)t(40,48,12)t(16,16,12)+-t(32,48,28)*
s(32,40,28)s(32,32,28)+s(24,8,12)t(40,40,20)+*
c(16,40,12)s(40,48,20)s(32,48,20)c(16,40,12)-*+
s(32,24,20)c(24,48,12)+s(40,40,28)*s(32,32,28)*
c(32,32,12)c(48,48,12)c(24,48,12)++s(16,24,20)-
s(48,48,20)c(40,40,20)t(32,48,28)+c(24,16,12)+*
s(48,48,20)s(24,40,28)c(40,40,20)*+t(32,40,28)+
t(40,16,12)s(32,40,20)+s(32,24,28)t(24,32,28)+*
s(32,32,20)t(24,32,12)-s(32,16,20)s(40,32,12)--
t(24,48,28)c(24,40,20)*s(16,48,12)-c(32,40,12)+
t(32,40,28)s(24,16,12)+s(16,32,20)s(24,32,20)**
s(32,16,20)s(24,32,12)c(16,48,12)++s(40,24,20)-
s(32,48,20)s(24,40,28)c(48,40,12)+t(24,48,20)--
s(40,24,28)t(40,24,12)-s(40,32,28)+c(32,32,20)*
s(24,8,12)s(24,24,20)+s(24,24,28)s(16,16,20)-*
s(24,32,20)t(24,32,28)*t(16,56,12)+s(16,24,20)-
s(40,32,28)c(40,32,12)t(32,40,20)+t(48,40,12)+-
s(32,24,20)s(24,16,20)s(16,16,12)s(32,24,12)+*+
s(24,16,20)t(32,48,28)s(24,24,12)s(24,8,12)++*
c(32,40,20)s(40,40,28)s(48,40,20)-+t(24,32,28)-
s(32,40,28)t(16,16,12)s(24,48,12)+s(40,24,28)+*
s(16,24,20)s(40,24,20)+c(32,32,20)t(24,24,20)+*
s(32,32,20)c(40,16,12)c(40,32,12)t(40,40,12)+++
c(48,16,12)s(16,32,20)+s(16,48,12)s(16,32,20)+*
t(24,24,20)s(32,24,20)s(16,32,12)c(16,40,12)+-+
s(24,32,28)s(24,24,28)c(40,32,20)-+s(16,48,12)-
s(24,40,20)s(32,32,28)s(48,16,20)s(40,32,28)*-+
t(40,48,20)s(8,32,12)+c(32,40,20)*c(16,48,12)+
c(24,24,20)t(32,24,12)s(32,8,12)+-c(32,40,20)-
c(32,32,20)s(16,24,12)t(48,40,12)+-c(40,24,12)-
t(40,40,12)s(40,16,20)c(16,40,12)t(32,32,28)+-+
s(32,40,20)c(24,40,20)*c(16,40,12)+s(40,40,28)*
s(40,24,20)c(16,32,12)+s(24,40,28)-c(48,40,12)-
c(24,24,20)s(40,24,20)+s(24,40,20)t(24,48,28)+*
s(16,16,20)s(40,40,28)s(24,48,20)--s(16,8,12)-
s(32,24,20)s(40,24,12)c(32,40,20)+t(32,32,28)**
s(24,32,20)s(16,24,20)t(32,40,20)+s(32,24,20)**
s(24,32,28)t(32,40,20)s(48,48,12)--s(40,24,28)+
c(32,32,20)s(24,48,20)s(16,48,20)*-c(40,16,12)+
c(24,40,20)s(24,16,20)-s(40,24,28)s(32,16,12)--
c(24,40,20)t(16,24,12)-s(48,48,20)-s(40,32,20)-
s(16,24,12)s(16,48,20)s(32,24,12)+t(24,40,20)*+
s(32,32,28)s(24,32,28)*s(32,24,20)*c(24,48,12)+
t(24,48,28)c(40,48,12)-s(24,32,28)*t(32,32,20)+
s(24,24,28)c(40,24,12)t(32,24,20)t(24,32,12)-+-
t(32,48,20)c(40,40,20)s(32,40,20)-t(24,48,28)-+
c(24,24,20)t(32,32,28)c(40,40,20)*t(32,48,20)-+
s(16,40,20)s(48,16,20)t(40,48,20)c(32,24,20)+-+
s(24,16,20)s(40,32,20)c(32,32,20)*t(24,48,20)--
s(40,24,28)s(40,48,20)s(16,48,20)c(48,40,12)+*-
t(40,40,20)t(16,48,12)+c(40,24,20)c(40,32,20)+*
t(40,32,20)s(16,40,20)t(32,24,20)++t(32,40,20)*
t(24,32,28)t(32,40,20)-c(24,24,20)s(48,40,12)+*
s(48,32,20)t(32,24,20)s(48,48,20)+c(40,32,20)**
s(24,32,28)s(32,16,12)s(40,48,20)s(48,24,20)-+*
t(32,24,20)t(24,32,28)c(40,32,12)s(16,40,12)+*-
c(32,40,12)t(32,24,20)+c(24,24,20)*s(32,32,20)*
s(32,24,20)s(16,16,20)+s(40,40,28)c(24,32,20)*+
t(32,40,28)t(24,48,12)-c(24,32,20)+s(24,48,20)*
c(40,40,12)c(32,32,28)s(32,16,20)*s(24,32,28)*+
t(24,40,28)t(48,16,12)+s(24,40,28)*t(32,48,20)*
s(24,48,20)c(32,48,12)c(32,32,20)+*c(24,32,20)+
s(24,32,28)s(24,16,20)-t(32,56,12)s(32,40,20)+-
s(16,16,20)s(32,32,28)s(24,32,28)*-s(40,24,28)-
c(24,32,20)t(24,40,28)*c(40,40,12)-s(24,16,12)+
s(40,32,20)c(32,24,20)c(48,24,12)-t(16,40,12)+-
s(24,32,28)s(48,8,12)+c(24,24,20)c(40,32,12)+*
s(32,40,28)c(24,40,12)-s(32,24,20)s(48,16,12)+-
s(16,8,12)t(32,32,20)+s(40,40,12)+c(48,32,12)-
c(24,24,20)c(16,16,12)s(48,48,12)+-t(24,48,28)-
c(40,24,12)s(40,48,20)s(40,40,28)s(48,48,20)**+
s(24,32,28)s(32,40,12)-t(24,40,20)-s(16,32,12)-
s(40,24,20)s(40,40,20)s(24,40,20)*s(32,48,20)+-
s(48,16,20)s(24,32,12)+c(48,40,12)s(40,16,20)++
c(32,40,20)s(40,24,12)+t(32,40,12)-s(24,32,28)*
s(32,32,20)s(48,24,20)+t(32,40,28)-s(16,24,12)-
c(32,32,20)s(32,40,20)*c(24,24,20)s(16,16,20)+*
c(24,40,20)t(24,40,20)c(32,32,28)s(48,48,20)*--
s(32,40,28)s(16,48,12)s(48,16,20)c(48,32,12)-+-
t(24,32,28)s(40,32,20)+s(8,32,12)-t(32,40,28)-
s(16,16,20)c(24,16,12)-t(40,40,12)+t(40,40,12)-
c(32,24,20)s(24,24,20)t(40,40,20)s(40,24,20)+*-
s(24,24,12)s(8,32,12)+s(24,8,12)+c(32,40,20)-
t(24,32,28)t(24,48,28)s(40,40,20)+s(40,24,28)**
s(24,32,28)s(8,32,12)-t(16,56,12)t(32,32,28)+-
s(16,40,20)t(16,32,12)c(32,40,12)+s(24,32,20)*-
c(24,24,20)s(16,24,20)*s(24,16,20)c(48,48,12)+*
s(32,24,28)s(16,24,12)-s(24,32,20)s(16,16,12)-*
t(24,40,28)t(24,32,28)c(32,32,28)s(24,24,28)**+
s(40,48,20)c(24,48,12)+t(32,40,12)-s(32,48,12)+
t(32,40,28)s(24,48,20)*s(40,32,12)-c(32,40,20)*
s(32,32,28)t(24,40,28)*s(16,32,20)+s(32,40,20)-
t(32,32,28)t(40,48,20)s(40,24,20)+c(40,32,20)*-
c(40,40,20)s(24,24,28)s(24,16,20)-+s(40,24,28)-
s(40,40,28)t(32,40,20)-s(40,16,12)+c(40,16,12)-
t(32,40,28)s(16,48,12)-s(24,40,12)-s(32,32,12)-
s(48,16,20)s(48,24,12)-s(32,40,12)+c(32,24,20)*
c(32,24,20)s(40,48,12)+t(32,32,28)t(32,40,28)**
t(32,48,20)c(32,24,20)+c(40,40,20)+s(40,24,20)-
t(40,16,12)s(16,48,20)c(24,40,20)++s(40,24,12)-
t(32,40,20)s(40,24,28)+t(32,48,20)-s(32,32,20)*
s(40,32,28)s(24,40,20)s(24,24,28)*-s(32,16,20)+
t(24,40,20)s(24,48,20)s(32,48,20)+c(16,16,12)+*
s(48,48,12)t(24,48,28)s(32,40,28)*+s(32,32,28)*
s(40,40,20)c(24,32,20)s(16,40,20)s(8,48,12)-*-
t(32,48,28)s(40,40,28)s(48,48,20)c(48,32,12)+**
c(40,32,20)c(16,16,12)t(40,32,20)+*s(32,40,28)*
c(32,40,20)s(24,32,28)s(40,40,12)-t(32,32,28)**
s(32,48,20)s(32,32,20)s(24,24,28)*t(32,48,12)+*
s(16,40,20)s(24,40,28)c(32,40,20)c(16,40,12)+**
s(40,32,28)s(32,32,28)*t(32,32,28)t(40,40,20)*-
s(40,32,20)s(24,32,28)c(24,40,12)-+s(48,32,20)*
s(40,32,12)t(16,48,12)+c(32,24,12)c(40,40,20)++
s(48,40,20)s(32,40,20)s(32,32,20)s(40,32,20)**-
c(32,40,20)c(40,48,12)s(40,16,20)t(40,32,20)-+-
s(40,32,28)s(24,40,28)*c(48,40,12)t(24,32,20)+*
c(32,32,20)c(24,40,20)*t(24,16,12)+c(32,40,20)*
s(48,48,20)s(40,32,28)*s(32,16,20)s(24,48,20)++
s(40,8,12)c(16,48,12)s(24,16,12)++s(32,24,28)*
s(16,32,20)s(32,24,28)*s(40,40,12)+s(40,32,20)*
t(40,40,20)s(16,24,20)+c(32,24,20)t(32,32,28)*-
s(32,8,12)s(40,16,20)s(48,16,12)t(16,24,12)+-+
s(24,24,20)c(16,16,12)t(40,56,12)+s(24,24,28)*-
c(40,32,12)s(24,8,12)+s(40,32,28)s(40,16,20)*+
c(32,40,20)s(32,40,28)c(48,40,12)-+s(32,24,20)*
s(40,32,12)s(48,32,20)t(40,40,20)t(32,24,12)+*+
t(24,40,28)s(40,24,20)c(40,48,12)+s(8,32,12)++
c(32,40,20)s(32,24,20)s(16,32,12)+-t(24,24,12)+
c(24,24,20)c(32,24,20)s(32,32,12)-*s(24,24,20)*
s(40,40,28)s(32,48,20)s(16,48,20)t(24,48,28)**-
c(16,32,12)s(40,40,20)c(24,48,12)c(48,48,12)+*+
s(16,32,20)s(24,24,28)c(40,40,12)s(48,40,12)++*
c(16,32,12)c(40,32,20)t(40,24,20)-+c(16,24,12)-
t(32,40,20)s(24,40,28)t(32,48,20)-s(32,16,20)--
s(16,40,20)s(16,32,20)*s(16,48,12)+s(16,16,20)-
s(40,24,28)s(32,40,28)*c(32,48,12)-s(40,48,20)-
s(24,32,20)c(40,24,12)+c(32,48,12)t(16,48,12)++
c(32,24,20)s(32,32,20)c(16,40,12)+t(24,40,20)*-
s(40,32,20)c(40,40,20)t(48,32,12)-*s(32,32,20)*
c(32,32,20)t(32,40,28)-s(16,32,12)+s(32,24,28)*
c(24,40,20)s(24,16,20)-c(40,40,20)c(24,40,20)**
s(24,40,20)t(40,24,12)s(40,24,20)c(32,16,12)-+-
s(24,24,28)c(48,48,12)c(40,16,12)+s(16,48,20)+*
s(16,24,20)c(24,24,20)s(32,24,28)s(8,48,12)+**
s(40,32,20)s(40,24,20)*c(32,32,20)*s(48,16,12)+
s(16,16,20)s(32,32,12)s(16,40,20)+s(24,24,28)*-
s(48,48,20)t(32,56,12)-s(32,24,28)t(32,32,28)*-
c(24,24,20)s(32,32,12)-c(16,16,12)t(24,48,20)+*
s(24,16,20)t(24,32,28)s(24,24,20)*+s(16,32,20)-
s(24,32,28)s(32,32,20)t(40,32,20)s(16,16,12)+*-
s(48,8,12)s(32,48,20)+s(48,48,20)*t(24,32,20)+
s(24,40,28)t(32,40,20)-t(32,40,28)-t(32,48,28)-
t(24,48,28)s(24,40,28)t(24,40,20)s(40,24,20)+**
t(24,48,20)c(16,48,12)+t(32,32,28)s(16,32,20)*-
s(32,32,28)s(48,32,20)s(32,16,12)+*t(40,24,20)+
s(24,32,20)s(40,40,28)c(32,32,12)-s(48,24,12)-+
c(40,32,20)t(40,32,20)s(24,40,20)++s(40,24,28)*
c(40,40,20)t(32,16,12)+t(24,16,12)t(24,48,28)+-
c(40,24,12)s(48,16,20)+s(32,40,28)+c(32,48,12)-
c(32,24,12)c(32,32,20)t(32,32,20)-s(40,8,12)++
c(32,32,20)s(16,32,20)+s(40,40,12)-s(24,24,20)+
t(32,40,28)s(24,48,20)c(24,32,20)s(32,32,28)***
c(32,32,28)t(24,48,28)*s(40,32,20)s(40,16,20)--
s(48,24,20)s(40,32,28)*s(32,32,20)t(48,16,12)+*
s(32,40,20)s(24,24,28)+s(40,40,20)*t(32,32,28)*
c(24,32,20)s(32,48,20)s(40,32,28)t(24,24,12)-*-
c(32,32,20)t(24,24,20)s(16,8,12)+c(24,32,20)*-
c(40,40,20)s(24,24,28)*t(32,40,20)t(24,32,28)*+
s(24,32,20)t(24,40,28)t(32,24,12)c(48,40,12)+-*
s(24,24,28)s(32,24,20)-s(24,40,12)t(32,24,12)+-
s(48,24,20)c(16,16,12)+s(32,40,12)+c(32,32,20)*
s(32,40,28)t(24,40,20)s(48,16,20)+-t(32,48,28)*
c(24,48,12)t(24,32,28)+s(32,48,20)-s(32,32,28)*
t(32,48,28)c(24,40,20)t(32,32,12)-*s(32,24,20)+
c(24,24,20)t(24,48,20)c(32,32,28)*-s(40,32,28)*
s(40,16,20)c(40,32,12)c(48,32,12)++c(16,16,12)+
s(32,40,20)s(32,32,28)s(48,48,12)s(16,48,20)+-*
s(16,48,20)s(24,48,20)+c(32,32,28)t(24,40,28)--
s(40,24,28)s(16,16,20)-s(32,32,12)-s(40,40,28)*
s(32,32,20)s(40,16,12)t(32,40,28)+t(40,32,20)*-
c(40,32,20)s(24,48,12)s(32,16,20)s(24,24,20)*+-
t(32,40,20)t(40,40,20)c(24,48,12)-+s(16,40,12)-
t(32,32,28)s(48,8,12)+t(32,40,28)s(24,32,28)**
t(24,48,20)s(32,40,20)c(40,32,20)+s(24,32,20)*+
s(24,40,28)s(40,48,20)*t(32,48,20)*s(32,32,12)+
c(24,40,20)s(40,40,28)c(32,40,20)*s(40,32,28)*-
c(48,32,12)t(32,32,28)s(24,40,20)-s(24,24,28)++
s(16,48,12)s(24,32,20)+s(8,48,12)-c(24,24,12)-
c(32,16,12)c(32,40,20)t(32,24,12)t(16,48,12)+++
s(32,24,20)s(16,40,12)+s(32,32,28)c(32,40,20)*+
t(24,48,20)s(24,24,20)t(48,48,12)s(24,48,12)+++
s(24,40,20)s(40,40,28)c(32,40,20)*s(32,24,20)+*
s(24,40,28)s(24,24,28)*t(40,40,20)c(48,24,12)--
t(32,24,20)c(24,32,12)t(40,48,20)s(48,32,20)++*
c(40,32,12)s(24,24,12)+c(16,16,12)s(32,24,20)+*
t(16,48,12)t(40,16,12)s(24,16,20)+t(40,16,12)-+
s(40,40,28)s(40,32,28)+c(40,48,12)-c(40,40,20)+
c(16,32,12)t(32,40,20)+t(32,16,12)+c(32,16,12)-
t(24,32,28)s(48,24,20)s(24,8,12)+-t(40,40,12)+
c(32,32,28)t(32,32,28)s(32,40,28)*-t(24,32,28)-
s(32,16,20)s(40,24,20)s(16,16,12)++c(24,40,20)+
s(40,24,28)s(24,16,20)c(32,32,20)+-t(48,32,12)+
t(24,48,20)s(32,24,20)-s(32,16,12)t(32,48,20)++
t(40,32,12)s(16,8,12)t(24,40,12)++t(32,32,20)+
s(24,32,28)s(32,32,28)c(24,40,20)c(24,24,20)*--
c(24,48,12)c(24,48,12)s(8,48,12)+s(32,40,12)-+
s(40,24,28)c(32,24,20)s(40,24,28)t(24,40,28)*-*
s(24,24,28)s(16,32,12)s(24,16,20)s(24,16,12)-+*
s(40,40,28)t(32,48,28)-c(40,24,20)*t(24,40,28)-
c(32,40,20)s(32,32,28)s(24,24,28)**c(40,16,12)-
s(32,24,20)s(48,40,12)+s(24,24,28)t(16,16,12)-+
t(24,40,28)s(40,32,12)+t(48,24,12)s(32,40,20)+*
c(40,24,20)s(48,32,20)s(24,24,28)-s(32,48,20)+-
c(48,24,12)s(32,48,20)+s(40,40,20)+s(32,40,28)*
c(24,24,20)c(24,40,20)s(16,40,20)+s(16,32,20)**
s(24,24,20)c(40,40,20)s(24,24,12)s(40,16,20)+--
c(32,40,20)c(24,32,20)t(16,16,12)-s(24,48,12)-*
s(40,32,20)s(24,48,20)c(24,32,20)*+s(48,24,20)+
s(24,40,20)s(16,24,20)+t(24,48,28)*t(16,40,12)+
s(40,32,28)s(24,48,20)s(24,32,20)s(16,16,12)++*
s(48,16,20)s(16,8,12)c(32,16,12)s(48,48,12)+++
c(24,32,20)t(32,48,20)-c(24,40,12)+s(24,16,12)-
s(32,32,20)t(48,48,12)+s(40,16,20)t(40,32,20)--
c(40,16,12)t(32,40,20)c(40,32,20)*+t(32,32,28)*
t(32,48,28)c(40,32,20)s(40,16,12)-s(40,16,20)-+
t(24,48,20)t(24,40,28)+s(40,32,20)s(32,32,20)*-
t(24,40,20)t(24,16,12)+s(32,16,12)+c(40,24,20)*
c(40,24,20)c(32,24,20)s(32,32,28)s(32,48,20)*--
s(48,8,12)c(32,32,20)t(40,24,12)-c(32,16,12)-+
s(48,40,20)c(32,48,12)t(24,40,20)t(32,40,28)*+-
s(32,32,28)s(32,16,12)-c(32,24,20)*c(40,40,12)-
c(32,48,12)s(32,32,20)c(24,24,20)*+s(40,48,20)*
t(32,24,12)c(48,24,12)+s(40,8,12)s(24,40,20)+-
s(32,40,20)c(32,40,20)s(40,24,20)*+c(24,48,12)+
s(40,24,20)s(40,32,20)*t(24,32,28)s(24,16,12)-+
s(24,32,20)s(24,48,12)c(40,32,12)+t(40,24,20)--
s(40,24,28)s(40,40,28)s(24,48,20)s(32,40,28)*-*
c(24,48,12)c(32,32,28)s(32,48,12)-s(32,16,20)-+
c(48,48,12)s(16,32,20)c(40,40,20)-s(32,32,12)++
c(32,40,20)t(24,16,12)+s(16,48,12)s(16,24,20)+*
t(24,32,28)s(16,24,20)*t(40,40,20)+c(24,24,12)-
s(32,24,28)c(24,32,20)s(24,48,12)-+s(24,40,20)*
s(32,48,12)c(32,32,12)+t(32,32,12)-s(16,48,12)+
s(24,16,20)s(24,48,20)s(40,32,20)t(24,32,28)-++
c(32,32,28)c(32,24,12)c(24,24,20)t(24,40,28)*+-
t(32,24,12)s(48,32,20)c(40,24,20)*+s(24,24,28)*
s(24,32,20)t(32,32,28)s(32,16,20)-t(24,32,28)+*
t(32,48,20)s(32,40,20)*s(16,40,12)s(48,8,12)++
s(40,40,28)t(24,24,20)-s(32,40,28)c(40,40,20)**
c(24,32,20)c(40,48,12)-s(40,24,28)c(24,24,20)**
s(32,32,20)s(40,32,28)t(24,40,28)c(24,32,20)***
s(32,24,28)c(16,24,12)t(24,40,20)+*t(24,48,28)+
c(16,48,12)t(40,24,20)+s(16,40,12)+s(32,24,28)-
s(32,40,28)t(24,48,28)*c(32,32,20)s(48,16,12)+*
t(32,32,28)s(24,24,20)s(40,40,20)-c(48,40,12)+*
t(24,48,28)s(40,32,28)+s(48,16,20)*t(24,32,12)+
s(48,24,20)t(16,16,12)c(32,40,20)+s(32,24,28)++
c(32,40,20)s(16,16,20)c(16,32,12)-t(32,24,20)-+
t(24,40,28)s(24,24,12)s(16,48,20)s(16,40,20)*+*
s(16,48,20)s(24,16,20)c(32,48,12)+s(16,8,12)--
s(40,32,20)t(32,32,20)*t(40,56,12)+s(32,32,20)*
s(16,16,12)s(40,24,28)+t(16,16,12)-t(32,40,28)-
s(40,32,20)t(40,40,20)t(40,16,12)+*c(48,48,12)+
s(16,16,12)s(24,48,20)+t(16,56,12)-t(32,40,28)+
s(40,32,28)s(16,40,20)s(32,40,28)*-t(32,24,20)-
s(40,48,12)t(32,32,28)+c(40,24,20)*c(40,48,12)-
t(32,48,20)s(16,24,20)+s(32,48,20)t(40,40,20)--
s(40,40,12)c(32,16,12)+s(48,16,20)-c(16,24,12)-
s(24,40,20)c(24,24,20)t(40,32,12)-+s(16,16,12)-
t(24,56,12)c(48,48,12)s(48,40,12)++s(48,48,20)+
s(16,32,20)s(24,24,28)t(40,48,20)s(48,32,12)+-*
t(24,32,28)s(40,32,28)s(40,40,28)*s(24,40,28)**
s(32,40,28)c(48,24,12)-t(32,56,12)-c(16,32,12)-
s(32,48,20)t(24,40,20)-c(32,24,12)+t(32,24,20)*
s(32,24,28)c(32,40,12)-s(32,16,20)s(24,24,12)--
s(40,8,12)t(32,48,28)+s(32,8,12)-s(32,32,28)*
s(24,40,20)s(32,24,20)s(32,16,12)c(40,40,12)++*
s(16,32,20)t(32,32,20)c(48,24,12)+s(40,8,12)+-
s(24,24,28)s(8,16,12)-s(40,40,12)-c(48,40,12)+
s(24,24,20)t(24,32,28)*s(32,32,12)+s(24,32,12)-
s(24,40,28)s(40,40,20)s(48,48,12)t(24,24,20)+--
s(24,32,20)c(40,32,12)s(8,16,12)t(40,32,12)+++
c(40,32,20)t(24,40,28)s(40,40,20)+t(32,40,28)-+
c(16,16,12)s(8,8,12)+t(40,32,20)+s(24,40,28)*
t(24,32,28)s(40,24,28)s(40,32,28)s(40,32,12)-*-
s(24,24,28)t(40,16,12)s(32,40,20)+-s(16,32,20)-
s(24,24,28)t(16,24,12)c(40,40,20)s(40,32,20)*+*
t(32,48,28)c(32,32,20)s(48,24,12)+s(32,40,28)**
s(32,40,20)s(32,40,28)s(40,48,20)c(32,24,20)--*
t(32,40,28)t(32,32,28)t(48,24,12)+c(24,32,20)**
s(24,40,28)t(40,40,12)-t(32,40,28)t(24,40,20)**
s(32,24,28)s(48,16,20)s(24,40,28)--s(32,32,12)-
t(40,16,12)c(16,40,12)+s(48,48,12)c(24,40,20)+*
c(40,40,20)s(40,24,28)t(32,32,28)*-c(48,24,12)-
s(48,16,20)s(24,32,20)c(32,24,20)*t(40,24,12)-+
c(32,40,20)t(32,16,12)+s(48,16,20)+s(32,32,28)*
c(24,32,20)s(32,40,28)s(16,48,20)-s(48,40,20)--
c(24,32,20)s(24,48,20)c(24,48,12)--s(16,24,20)-
c(48,32,12)s(40,32,20)s(40,40,28)s(48,32,20)**+
t(32,40,28)t(32,32,12)s(16,32,20)+t(32,32,28)*-
s(32,40,28)c(24,32,20)*s(40,40,20)s(16,24,12)+*
c(32,32,28)t(24,32,28)s(40,24,20)t(32,32,20)-+-
s(32,24,28)t(32,32,28)-t(32,48,20)s(40,48,20)++
s(40,32,20)s(24,40,28)c(24,24,20)*t(48,16,12)+*
s(24,24,28)t(48,40,12)c(40,40,12)+-s(40,16,20)*
c(24,24,12)s(16,32,20)c(32,32,12)-+t(24,32,20)-
s(32,24,28)s(40,24,28)*c(32,40,20)*t(40,32,20)*
s(32,24,20)s(48,16,12)-c(32,32,20)t(32,40,12)-*
c(40,40,20)t(24,32,20)c(16,48,12)--s(40,32,12)-
t(32,48,28)s(32,40,28)*t(32,48,28)t(40,56,12)-*
s(32,24,28)s(24,32,28)t(32,48,28)s(32,32,28)*-*
c(24,32,20)s(16,48,20)c(24,48,12)--s(16,24,12)-
c(32,40,20)t(24,32,12)-t(24,32,28)t(32,40,28)**
c(32,24,20)c(24,24,12)-s(40,48,20)s(16,32,12)+-
s(48,32,20)s(48,24,12)-t(24,32,28)+t(32,24,20)-
s(24,40,28)s(32,32,20)*t(40,32,12)-s(40,16,20)-
c(40,32,20)s(48,8,12)+t(32,32,20)-c(40,32,20)*
s(40,32,28)s(40,24,28)+s(32,40,20)t(24,24,20)-*
t(24,40,28)s(48,48,20)-c(24,32,20)s(32,24,28)**
s(8,40,12)s(32,48,20)+s(32,32,12)-t(24,40,28)*
s(32,40,12)s(24,24,20)t(24,32,20)*+t(24,16,12)-
s(32,32,28)s(48,24,20)t(24,16,12)s(48,40,12)+--
s(32,48,20)c(40,24,20)t(24,24,20)-s(32,32,28)*-
s(16,32,20)s(24,32,20)t(24,40,12)-t(32,48,20)-*
t(32,24,20)s(8,8,12)+c(40,32,20)s(24,24,28)*-
s(24,32,28)c(32,32,12)-t(24,40,12)t(16,16,12)++
t(40,24,20)s(40,32,20)+s(32,48,20)s(48,24,12)+*
t(24,48,28)s(40,48,12)s(24,32,20)+t(48,32,12)+-
s(32,40,28)t(16,48,12)-s(24,40,28)c(32,24,12)-+
s(24,32,28)s(24,40,28)+s(8,8,12)t(32,48,20)+*
s(24,40,28)s(40,32,28)s(48,16,20)-*t(32,32,28)+
s(40,24,28)t(40,32,20)s(40,8,12)+t(16,16,12)+*
c(32,24,20)t(24,48,12)+s(40,24,28)*c(40,24,20)*
s(24,48,12)s(40,48,12)s(32,24,12)+c(24,24,20)++
s(24,32,28)t(24,16,12)-s(24,48,12)-s(40,48,20)+
c(40,40,20)t(24,24,20)s(40,40,20)+s(16,32,12)-*
t(32,40,20)t(32,32,28)+s(24,16,20)c(32,24,20)*-
s(32,40,28)c(24,24,20)t(16,16,12)-s(32,16,20)*-
s(32,24,28)c(24,16,12)-s(48,16,12)-s(32,40,12)-
c(32,32,20)c(40,32,20)s(40,40,20)-s(16,40,20)+-
c(32,32,20)s(16,16,20)c(24,32,20)+c(40,24,12)-*
s(32,40,28)t(40,40,20)-s(24,48,20)s(48,24,20)++
s(24,40,28)s(32,40,28)t(24,32,28)--c(40,32,20)*
s(24,48,20)t(40,48,12)+t(32,48,28)*s(32,24,20)-
s(16,40,20)c(40,16,12)+t(24,32,28)-c(32,32,12)+
s(40,24,20)s(24,16,20)c(24,32,12)-+t(40,40,12)+
s(32,40,20)s(24,48,20)*s(40,40,28)s(40,32,28)+*
s(24,32,28)t(32,32,28)s(40,24,28)+c(24,32,12)--
s(24,32,28)t(24,40,28)-s(32,32,12)+t(40,48,12)+
s(24,32,28)t(24,40,28)s(32,24,20)+c(16,24,12)-*
s(32,24,12)s(24,48,20)+s(32,32,28)+s(40,48,20)-
c(40,40,20)s(40,16,20)s(48,24,20)+*s(32,40,20)+
s(32,48,20)t(24,24,20)+t(32,48,28)*s(40,24,28)-
t(16,32,12)t(48,24,12)+s(48,40,20)t(32,40,20)-+
t(24,32,28)s(40,48,12)-s(32,24,28)s(40,40,20)-*
s(8,32,12)s(48,24,12)+s(16,32,12)+c(40,24,12)-
s(48,48,20)t(32,40,28)+s(24,24,28)*c(40,16,12)-
c(24,40,12)s(40,32,28)s(32,40,28)*+t(32,48,28)-
s(40,40,28)s(40,24,28)s(8,24,12)+*s(32,40,28)*
c(24,40,12)t(32,48,20)s(24,48,20)*+t(24,48,20)*
s(24,32,20)c(32,40,12)s(40,16,20)+*c(32,40,20)*
s(40,32,28)s(24,16,20)s(16,24,20)+s(32,24,28)**
t(24,24,12)s(32,40,28)s(40,24,20)-+s(24,48,20)*
s(48,48,20)s(48,32,20)s(40,48,12)c(48,16,12)+--
c(32,24,12)s(16,32,20)+s(32,32,28)s(32,16,20)**
c(48,40,12)t(16,16,12)+s(16,32,20)s(16,24,20)*+
s(24,32,20)s(16,16,20)s(8,8,12)--s(24,48,12)-
s(32,32,28)c(40,16,12)-t(24,48,28)*s(24,24,12)-
s(40,8,12)c(32,40,20)c(48,48,12)-+c(40,40,20)*
s(40,32,28)c(32,32,12)t(32,48,20)++c(32,32,20)*
t(24,48,28)t(32,32,28)t(40,32,20)*-c(32,32,28)*
c(32,32,12)s(48,40,20)t(48,24,12)c(24,48,12)+-+
t(24,40,20)c(16,48,12)s(32,40,28)s(16,32,20)*++
s(24,24,20)s(32,24,20)+s(8,32,12)s(48,16,20)+-
c(32,40,12)s(24,24,20)c(16,32,12)-+s(24,40,28)*
s(32,24,20)t(32,40,28)c(32,32,12)--t(32,16,12)-
s(24,32,12)s(32,40,12)+s(24,40,20)s(32,8,12)+*
c(40,24,20)s(48,32,20)*t(24,32,28)s(32,40,12)--
c(16,40,12)s(16,48,12)+s(24,24,20)t(24,40,28)-+
c(32,32,20)s(24,40,20)c(24,24,12)+c(24,40,20)+*
s(40,32,28)s(40,40,28)*t(24,24,12)-c(32,24,20)*
s(40,40,20)s(48,40,20)t(32,32,12)+t(16,48,12)+*
c(24,40,20)t(32,48,28)+t(40,56,12)t(48,48,12)+-
s(48,32,20)s(40,32,28)t(24,24,20)-c(40,24,12)-*
s(40,40,28)c(48,32,12)-s(32,32,28)c(16,24,12)--
s(16,32,20)t(32,48,20)+c(16,40,12)-s(40,40,20)-
t(24,40,28)t(40,40,20)-s(16,32,12)-s(32,24,12)-
s(32,16,20)c(24,32,12)-s(24,40,28)-t(24,32,28)-
s(16,40,20)s(24,32,20)s(24,32,12)--s(48,32,12)+
s(32,24,20)s(24,24,28)t(24,16,12)s(24,40,20)+--
t(24,24,20)s(32,32,20)+s(40,40,28)s(24,32,12)-*
s(16,32,20)c(24,24,12)t(32,40,12)+c(16,32,12)--
t(40,32,12)s(16,48,20)t(24,48,20)*+c(32,40,12)-
s(8,40,12)s(32,32,20)s(24,48,12)-+c(16,48,12)-
s(16,16,20)c(48,16,12)s(40,32,12)t(16,24,12)++-
s(48,40,12)s(48,24,12)t(40,48,20)++c(32,32,12)-
c(32,24,20)c(40,40,12)+c(24,32,20)*t(24,32,28)*
c(48,32,12)t(24,32,28)+c(32,32,28)s(32,24,28)--
c(40,24,20)s(40,48,20)s(24,48,20)--t(24,48,28)-
t(40,24,20)t(24,40,20)+t(24,32,28)c(40,40,20)--
c(32,32,28)s(24,40,28)*s(32,24,20)-s(24,24,20)-
t(32,32,20)c(40,40,20)s(48,32,20)c(24,24,20)+**
t(32,40,28)c(32,48,12)c(40,32,12)+t(40,32,12)-*
s(32,40,28)t(24,40,20)s(32,40,20)*s(48,40,20)+*
s(48,32,12)s(16,48,20)+s(24,40,20)*t(24,48,28)*
c(32,32,12)s(32,24,20)c(24,24,12)s(32,48,20)+*+
t(24,40,28)t(32,40,28)c(40,16,12)+c(24,24,20)--
t(32,32,28)s(16,40,12)-s(40,48,20)s(32,32,12)+*
s(48,32,20)t(24,32,28)-s(32,48,12)+t(48,32,12)-
s(32,24,20)s(48,32,20)s(24,32,28)s(40,24,28)*+*
s(24,24,20)s(32,24,20)*c(32,24,12)s(40,16,20)+*
c(32,32,20)c(16,32,12)s(40,32,20)+*s(40,32,20)*
t(24,48,28)c(24,48,12)c(48,24,12)c(40,40,20)++*
s(48,16,12)t(24,40,28)+s(16,48,12)-c(40,40,20)*
c(40,32,20)c(40,24,20)s(48,8,12)s(32,40,28)+**
s(32,24,28)c(32,40,20)c(40,32,20)c(40,40,20)***
c(40,40,20)t(32,24,12)-s(40,40,28)s(24,40,28)-*
t(24,16,12)s(24,48,20)+t(24,48,28)s(48,8,12)+*
s(48,40,20)t(40,48,20)s(24,24,28)t(48,24,12)++*
t(32,48,20)s(48,16,20)t(32,24,12)-+s(40,32,20)*
s(32,32,28)s(32,24,28)s(16,24,20)*-s(40,8,12)+
c(24,24,20)t(32,32,28)s(16,40,12)-*s(32,48,20)-
s(24,16,12)t(32,32,28)t(32,48,28)*s(40,40,12)++
s(32,24,28)t(24,32,20)s(24,24,20)+s(32,24,28)*-
c(32,32,28)s(40,24,20)-s(48,32,20)+s(40,40,28)+
c(32,24,20)s(40,24,20)-t(40,32,20)+c(32,40,20)*
c(32,24,12)t(32,48,28)s(32,24,20)-+c(32,32,28)*
c(40,32,20)t(24,40,12)-s(40,48,12)-t(32,24,20)-
c(40,40,20)s(40,24,28)*s(8,24,12)+s(24,32,12)-
t(24,40,20)t(40,32,20)s(32,32,20)s(32,48,20)+*-
s(40,48,20)c(24,40,20)+c(48,40,12)c(48,48,12)+*
t(32,48,20)c(40,32,20)t(40,32,20)-s(24,16,12)-+
c(32,32,20)s(24,24,28)s(24,16,20)s(8,8,12)+-*
s(40,32,28)t(24,48,28)s(40,16,12)s(32,48,20)+*-
s(32,32,20)s(48,24,12)t(40,24,12)+-c(40,32,20)*
s(16,24,20)t(32,48,20)+s(32,32,20)*s(24,48,12)-
t(32,32,28)s(24,24,12)-s(40,32,20)*t(40,40,20)*
s(24,40,28)s(16,16,20)c(40,40,20)+*c(32,32,20)*
s(40,40,28)t(32,32,28)*s(32,24,20)*s(48,16,20)+
s(40,40,20)s(8,16,12)+s(40,40,28)+s(40,32,20)-
s(24,32,28)s(24,24,20)s(40,40,28)c(16,24,12)+*-
c(32,16,12)s(40,32,20)+s(32,32,28)t(32,40,28)**
s(24,24,20)c(32,32,20)s(16,40,12)-t(40,48,20)+*
s(40,24,28)t(32,40,28)s(16,40,20)+c(40,40,20)**
t(32,40,28)s(48,24,20)s(40,40,28)*s(24,48,20)+*
s(24,48,20)s(40,40,28)+t(32,32,28)*c(24,32,20)+
s(24,32,20)t(24,40,28)c(40,40,12)-s(16,40,12)--
s(24,32,12)t(32,24,20)+s(8,40,12)+c(48,32,12)-
s(24,40,28)t(32,40,28)c(40,32,20)c(24,24,12)--*
s(48,8,12)c(40,32,20)+s(48,48,20)-t(16,24,12)+
t(32,40,28)c(24,32,20)t(24,48,20)s(16,8,12)+-*
t(48,40,12)s(8,8,12)+s(32,16,12)+c(24,24,20)-
t(40,48,20)s(48,48,20)*s(40,40,20)+t(24,40,28)*
s(40,24,28)c(48,16,12)-s(48,32,20)+t(24,24,12)-
c(24,40,20)c(40,48,12)c(32,32,12)+*t(40,56,12)-
c(40,24,20)s(40,24,28)c(32,32,20)s(40,32,28)***
c(40,16,12)t(48,56,12)t(16,16,12)++s(32,16,20)+
s(32,32,28)s(24,40,28)*t(24,48,28)s(32,40,28)*-
c(40,24,20)c(16,40,12)+s(32,32,12)-s(32,32,20)*
s(32,32,20)c(32,32,20)c(40,40,20)--c(32,16,12)-
c(32,40,20)t(24,40,28)-t(16,40,12)s(40,32,12)++
s(32,24,20)s(48,16,20)s(40,24,28)*t(32,24,12)+*
t(16,48,12)t(24,24,20)+c(32,40,20)+s(24,48,20)-
s(40,24,20)c(40,16,12)c(24,32,12)+s(48,24,20)-+
t(24,40,28)s(16,48,12)s(40,40,20)t(32,40,20)*+*
s(24,40,20)c(40,32,12)+t(32,32,12)-t(24,40,28)*
t(48,40,12)c(32,32,12)+t(32,32,20)+s(16,16,12)+
s(40,16,20)t(48,48,12)c(24,40,12)s(32,32,20)+++
c(24,24,12)s(24,32,28)t(24,40,28)*s(48,48,20)-+
t(24,32,28)s(40,24,20)c(40,40,12)+s(32,16,20)+*
t(24,32,28)t(40,40,20)+c(24,24,12)s(48,40,12)+-
s(40,32,28)s(24,32,28)s(16,16,20)s(24,24,20)**-
t(24,40,28)s(24,32,20)t(40,48,12)+s(24,48,20)--
c(48,16,12)t(32,24,12)+s(40,16,20)*s(48,16,20)*
s(32,24,28)t(16,24,12)-s(32,16,12)-s(32,40,28)*
s(24,24,28)s(24,40,12)s(48,40,20)+*s(24,40,12)+
c(16,16,12)t(32,32,12)t(24,24,20)+t(32,32,28)*+
t(32,48,28)t(24,32,28)*c(40,24,20)+s(32,32,20)*
c(32,32,28)s(24,16,20)-s(16,24,20)+t(32,40,28)*
s(24,40,28)c(40,32,20)*s(48,32,12)-t(32,40,20)*
s(16,48,12)c(32,24,20)c(40,24,20)*+s(32,32,20)*
c(32,32,20)s(16,32,12)s(48,40,20)+*t(16,24,12)-
s(16,40,12)t(24,24,20)c(24,40,12)++s(24,16,20)*
c(24,24,20)t(32,40,28)c(24,32,12)--s(24,40,20)*
s(40,48,12)s(40,8,12)+c(16,48,12)+s(32,48,12)-
t(40,32,20)t(32,40,28)+t(40,56,12)+s(48,48,20)*
s(24,40,28)t(32,32,28)s(40,40,20)*s(32,32,20)**
s(24,40,28)s(40,24,28)-c(32,32,28)s(32,48,20)--
s(48,48,12)t(32,48,28)+c(40,40,12)t(32,56,12)+-
c(24,24,12)t(24,48,28)+c(40,40,20)-s(16,40,12)-
t(32,32,28)s(32,24,12)-t(24,32,12)-s(48,16,12)+
s(24,24,20)s(48,32,20)c(16,16,12)+t(24,24,20)+*
s(48,32,12)s(32,16,12)c(40,40,20)+t(24,48,28)*+
c(32,40,20)t(40,32,20)c(24,40,12)+*s(24,24,28)*
t(32,40,28)c(32,24,20)*c(16,32,12)+s(16,32,12)-
s(40,40,28)s(24,32,28)s(16,16,20)+-s(48,32,20)*
s(32,40,20)t(32,24,20)+s(24,16,12)-t(32,16,12)+
s(24,40,28)s(32,40,20)s(40,48,12)-s(48,24,20)++
s(40,40,28)c(32,40,20)*c(24,32,20)s(8,24,12)-+
t(24,40,20)t(16,16,12)s(32,24,20)c(16,24,12)-++
s(24,48,20)t(32,32,28)s(24,32,20)*-t(40,48,12)+
t(32,40,20)s(32,32,28)s(40,32,12)s(16,16,20)+-+
s(40,24,20)s(48,32,20)+s(16,24,20)-t(16,56,12)+
c(32,16,12)s(24,48,20)+t(32,32,12)t(24,56,12)+-
s(24,24,28)c(40,24,12)-t(40,32,20)-c(32,32,20)*
s(24,48,12)c(24,16,12)+t(24,24,20)s(16,32,20)+*
s(24,32,28)s(48,16,20)-t(32,40,20)*t(48,16,12)+
s(24,32,20)c(24,48,12)-t(32,40,28)s(48,40,20)--
t(32,32,28)s(48,24,20)s(24,40,20)+s(32,24,20)**
s(24,40,20)t(16,16,12)+c(24,24,20)*t(24,40,20)-
s(16,16,12)t(32,24,12)s(8,48,12)++t(24,32,28)-
s(16,40,20)t(16,32,12)-c(48,40,12)s(16,48,20)++
s(32,24,20)c(32,40,20)s(16,16,12)+s(40,24,28)*+
c(40,40,20)s(48,24,20)c(32,32,28)*-c(40,24,12)+
t(24,32,20)s(24,48,20)s(48,40,12)s(32,48,20)+*+
t(16,16,12)t(40,32,20)t(32,24,12)-+s(40,32,28)*
s(32,48,20)s(48,24,20)t(32,32,28)s(40,24,20)*-+
s(32,40,28)c(40,48,12)-s(32,32,28)c(40,24,20)*-
s(40,40,20)s(32,48,20)c(32,24,20)s(16,32,20)*-*
c(48,32,12)s(8,40,12)c(24,32,12)+s(24,48,12)++
c(40,32,20)s(32,40,28)s(16,48,20)-*t(32,40,28)*
s(16,16,12)t(32,32,28)s(16,32,20)*+s(24,24,20)*
s(16,40,20)t(24,32,12)-s(24,40,20)t(32,40,20)-+
s(32,32,28)s(40,48,20)s(48,40,20)*s(32,24,20)+-
s(40,32,12)s(24,40,20)+t(24,32,28)*s(24,16,20)-
s(8,24,12)c(32,40,12)+s(32,32,28)t(32,48,28)+*
c(40,32,20)s(32,32,20)+s(24,32,28)s(16,24,20)*-
t(24,40,28)c(24,16,12)-s(32,32,20)c(24,40,20)**
s(24,32,20)s(16,32,20)*t(24,32,20)s(48,32,20)+*
c(24,32,20)s(16,32,20)s(8,24,12)-t(32,32,12)-*
c(24,32,20)c(32,32,20)s(32,16,20)*c(16,24,12)+*
t(32,32,28)s(48,16,20)s(32,8,12)+s(24,48,20)+*
s(8,24,12)s(32,24,12)s(24,16,12)++t(32,40,28)+
c(32,40,20)s(40,48,20)s(32,24,20)-s(48,8,12)+-
s(40,24,28)c(32,32,28)s(32,16,20)-s(24,32,28)+*
t(32,32,28)s(40,48,20)-c(16,40,12)+s(16,32,20)+
s(16,24,20)s(48,16,20)+s(40,16,20)-s(48,8,12)+
s(24,8,12)s(32,48,12)+s(32,16,12)-s(16,16,12)+
s(40,32,28)t(24,32,28)*t(24,16,12)-c(32,24,20)*
s(32,48,20)t(24,32,12)-c(48,24,12)t(24,56,12)+-
s(24,48,20)c(32,32,28)*s(32,16,20)c(24,24,12)-+
c(40,24,12)t(32,40,20)t(16,24,12)+s(32,48,20)*+
s(48,48,20)c(32,40,20)t(24,48,20)-+t(24,32,28)*
s(40,40,28)c(40,48,12)t(40,24,20)+c(32,32,20)**
s(40,32,12)t(24,48,20)+t(24,40,28)s(16,24,12)-+
s(24,48,20)s(32,32,20)-t(32,40,20)t(40,40,12)+-
s(32,48,20)s(32,24,12)t(24,48,20)+s(24,48,20)**
c(24,24,20)s(16,24,12)t(32,16,12)+t(16,40,12)+*
c(32,24,20)c(40,24,20)t(48,16,12)t(32,48,28)+*-
t(24,40,28)t(48,48,12)+c(48,40,12)s(32,24,28)+-
c(40,32,20)s(24,8,12)s(24,40,28)s(40,32,28)*+*
s(32,32,20)s(16,48,12)s(24,40,12)+s(48,16,20)+*
s(40,40,28)t(40,32,20)s(32,24,12)+*c(24,40,12)-
s(40,24,28)c(24,32,20)c(32,16,12)-c(40,32,12)+*
s(32,32,28)t(24,48,28)t(24,40,28)s(32,16,20)-**
t(24,40,12)s(32,24,20)t(24,32,28)t(24,40,28)*-+
c(32,40,20)s(8,48,12)s(40,16,20)++t(24,48,28)*
t(32,48,28)t(16,24,12)+s(32,16,12)c(32,32,12)+-
c(24,16,12)s(32,40,28)t(24,32,28)*t(32,32,28)*+
s(24,48,20)t(40,32,20)c(16,24,12)+c(16,40,12)-+
t(24,40,28)c(40,32,20)s(40,40,28)**t(32,24,20)+
t(24,32,28)t(32,48,28)*c(48,24,12)+s(24,32,20)-
c(32,24,20)s(24,32,12)s(32,16,20)+c(24,40,20)+*
t(24,40,20)s(32,40,28)s(8,16,12)c(32,24,12)+-*
t(24,40,20)s(40,24,28)s(32,32,20)*+t(32,48,28)*
s(24,32,20)s(24,32,20)s(24,16,20)t(40,32,12)+--
s(40,24,28)c(40,16,12)s(16,32,12)+t(32,48,20)+*
c(40,40,20)s(24,48,20)*s(16,24,20)s(32,16,12)++
s(48,40,20)c(40,40,20)c(24,40,12)-c(40,16,12)-*
s(40,40,28)t(32,48,12)-c(40,32,20)t(40,24,20)-*
s(24,24,28)t(48,24,12)+s(32,32,28)*c(32,16,12)-
s(32,48,20)t(32,56,12)s(24,32,28)+s(16,32,12)-*
c(32,32,28)c(24,24,12)s(16,16,12)+s(16,16,20)+-
t(24,32,28)s(32,16,20)c(40,24,20)*+t(24,40,28)*
c(48,16,12)s(32,40,28)s(48,16,20)-+s(24,24,20)+
s(40,40,28)c(40,40,12)-t(40,24,20)-s(32,32,28)-
s(24,40,12)c(48,16,12)+s(40,16,20)+s(32,40,12)+
s(24,48,20)t(40,56,12)+s(32,48,20)*c(40,32,12)+
s(40,32,20)s(16,40,12)t(24,24,20)s(48,16,20)++*
s(40,16,20)c(32,16,12)-c(40,48,12)+c(40,32,20)*
s(40,24,20)t(24,40,20)-t(48,24,12)-s(16,24,20)-
c(24,24,12)c(40,32,20)+s(16,48,12)+t(24,32,28)*
c(24,48,12)s(40,32,28)s(40,40,12)-s(24,40,12)-+
c(40,16,12)c(32,48,12)+s(32,32,28)+s(40,48,12)-
s(40,40,28)s(24,16,20)-t(24,32,20)-t(40,40,20)-
t(40,24,20)s(24,24,20)+c(48,40,12)s(40,32,12)+-
s(24,40,28)s(24,24,28)*c(40,32,20)s(24,48,12)+*
s(24,24,28)s(40,24,20)*c(40,16,12)+s(24,24,28)*
s(24,8,12)t(24,48,28)+s(32,40,28)*t(24,32,28)*
t(32,48,28)s(24,40,28)*t(16,32,12)+c(40,40,20)+
s(40,40,28)s(32,48,20)*c(40,40,12)s(16,24,20)++
t(16,56,12)c(40,24,20)s(40,24,12)-+s(32,24,28)-
c(32,24,20)c(32,32,20)s(24,32,28)s(8,40,12)-**
s(32,24,20)s(8,8,12)+t(40,32,12)t(24,32,20)+*
s(24,16,20)s(48,16,20)+s(32,24,28)*t(32,40,12)+
s(24,32,28)s(24,48,20)s(16,32,20)+t(48,56,12)+*
s(32,40,28)s(16,40,20)c(16,40,12)-t(40,32,20)+-
s(16,8,12)t(16,56,12)s(24,24,20)++s(24,16,20)*
s(40,24,28)t(32,32,28)c(16,24,12)-t(48,32,12)+*
s(40,48,20)s(32,32,28)c(24,32,20)-+c(16,32,12)+
c(24,40,20)t(32,40,28)c(40,32,20)c(24,24,12)+**
t(40,40,20)t(32,32,28)s(40,16,20)s(24,16,20)*-*
t(32,40,28)t(32,40,20)-c(32,16,12)-t(32,40,12)+
s(16,24,20)t(24,48,28)-c(16,40,12)-t(24,16,12)-
s(32,48,20)t(24,32,28)s(24,40,20)c(32,32,20)+*-
s(32,24,20)s(32,32,20)s(24,32,20)c(32,24,20)***
s(16,32,20)s(8,48,12)-s(32,32,20)s(40,40,28)*-
t(24,48,28)t(40,32,12)c(24,32,12)+-s(16,24,20)+
c(32,24,20)s(24,40,20)+t(24,16,12)-s(24,40,28)*
s(48,24,12)s(48,48,20)+s(24,8,12)+s(40,24,28)*
s(24,24,28)s(24,40,28)*t(24,32,12)-c(24,24,12)-
s(16,40,20)s(48,32,12)+t(32,32,28)+s(24,32,20)*
t(40,16,12)s(32,48,20)t(32,40,28)++s(48,16,12)+
t(24,40,28)s(24,16,20)+t(24,16,12)-s(48,32,20)+
s(24,40,20)s(24,48,20)s(32,40,28)*+c(24,32,20)+
c(24,32,20)s(32,16,12)t(16,24,12)+-t(32,40,28)*
c(40,40,20)t(40,24,20)+s(24,40,28)*c(40,48,12)-
t(24,40,12)s(24,40,28)c(40,32,20)t(32,40,20)*-+
c(40,24,20)c(32,32,28)c(32,40,12)-s(32,40,20)-*
c(32,32,20)c(40,32,20)s(48,24,20)*-s(48,40,20)-
s(24,32,20)s(40,32,20)-s(40,48,12)+s(24,48,12)-
s(40,16,20)s(32,24,28)s(32,32,20)c(16,40,12)--*
c(32,40,20)s(16,32,20)-s(40,16,20)-t(40,48,12)-
c(24,24,20)s(24,48,12)+t(40,40,12)c(32,32,12)+-
s(24,40,28)s(24,40,12)c(40,32,20)t(32,32,28)-+-
s(40,16,20)t(40,56,12)+c(32,16,12)s(32,32,12)+-
t(32,32,28)c(24,40,20)s(48,24,12)+*s(32,24,28)*
s(16,48,12)s(16,8,12)t(32,24,20)+t(32,32,28)*+
s(32,40,28)s(40,32,28)*s(24,32,28)t(32,40,20)--
c(32,32,20)c(40,24,20)*s(16,24,20)+t(32,40,28)+
s(32,24,12)c(24,48,12)s(16,8,12)++s(32,32,28)+
c(40,24,20)s(32,32,12)t(48,40,12)s(8,48,12)++*
t(40,24,20)s(48,48,20)+c(40,32,20)*s(8,48,12)+
t(24,48,28)s(24,24,28)-c(48,48,12)c(32,48,12)+-
s(32,32,28)s(24,48,20)c(24,40,20)*t(24,16,12)+*
s(48,32,20)t(32,40,28)-t(40,48,20)t(40,56,12)-+
t(32,40,12)c(32,24,20)s(8,16,12)+s(24,32,20)*+
t(48,24,12)c(32,24,20)s(32,40,20)-s(16,32,12)++
s(32,48,20)t(24,24,20)c(16,48,12)+-s(24,40,12)-
t(16,24,12)t(32,32,28)+s(24,40,28)*c(24,40,20)*
t(32,40,12)t(48,40,12)t(24,40,28)+c(32,24,20)-+
s(24,40,28)s(40,24,28)s(24,24,20)s(24,40,20)*--
t(24,40,28)c(24,32,12)c(16,16,12)+-t(48,56,12)+
s(32,32,20)c(32,32,28)s(32,40,20)c(40,24,20)*-*
t(48,40,12)s(32,32,20)c(24,32,20)c(40,32,20)--+
s(32,40,28)c(24,32,20)s(32,24,28)s(40,32,28)***
t(32,24,20)s(16,48,20)s(40,32,28)t(48,40,12)-+*
s(32,24,28)s(40,48,20)-s(16,24,20)c(32,24,20)*-
s(24,48,20)s(32,48,20)t(48,56,12)+s(48,48,20)*-
c(24,40,20)c(40,32,20)*c(40,32,20)c(32,24,20)*+
c(32,48,12)c(24,32,20)s(16,16,12)-+t(32,40,28)*
s(40,24,28)s(24,40,28)t(48,56,12)t(24,40,20)+-+
s(16,40,20)t(24,32,12)-s(32,48,12)+s(16,32,12)-
s(8,32,12)s(32,16,20)c(32,24,20)*+c(40,32,12)-
s(32,16,20)c(48,32,12)t(32,32,20)t(48,24,12)+++
s(40,48,20)s(24,32,28)c(24,32,12)t(48,48,12)++*
s(24,16,20)s(16,24,20)s(32,8,12)+t(40,32,12)+*
c(32,40,20)s(40,32,28)*t(32,40,28)*s(40,40,20)*
c(24,32,20)s(24,24,20)c(40,40,20)c(32,40,20)*-*
t(32,40,20)s(32,32,28)t(16,32,12)-s(40,40,20)**
s(32,32,28)t(32,40,28)t(24,48,20)*-s(16,32,20)-
s(48,24,20)c(40,16,12)-t(24,24,20)+t(24,32,28)*
c(32,48,12)t(24,32,20)+s(40,40,28)t(24,32,28)*-
s(8,16,12)c(24,32,12)+s(32,32,20)s(16,48,20)--
c(32,32,28)t(40,24,20)c(32,24,20)c(32,32,20)**-
s(24,24,28)c(32,24,12)-s(40,32,28)s(40,24,28)+*
s(24,40,28)s(32,32,20)+c(40,40,20)s(32,24,28)*-
t(24,24,20)c(48,16,12)+t(24,16,12)-s(24,24,28)*
c(16,24,12)t(24,32,28)+s(32,32,28)t(32,48,28)**
s(48,16,12)s(40,40,20)s(32,48,12)-t(48,24,12)-+
s(32,24,28)s(24,48,20)-s(32,8,12)-s(32,32,12)-
s(24,40,28)t(24,48,20)c(16,24,12)+*c(24,24,20)*
c(24,24,20)t(32,40,28)+t(40,32,20)-s(24,16,20)*
t(32,24,20)s(40,32,28)s(32,48,20)*+s(40,24,28)*
s(24,24,28)s(8,8,12)-t(32,24,20)-s(24,40,28)*
c(40,24,12)s(48,40,12)+s(32,48,20)+t(24,40,28)*
s(32,40,28)s(16,48,12)-s(32,24,28)*s(32,24,12)+
s(48,24,20)s(32,32,28)s(32,48,20)*c(40,32,12)++
c(48,24,12)t(16,40,12)+c(16,24,12)+c(32,32,20)*
s(32,32,28)s(24,40,28)s(16,48,20)s(16,24,12)+**
s(16,40,20)t(32,48,20)-t(40,40,20)+c(40,40,12)-
s(40,48,20)s(40,40,28)c(24,24,20)c(16,40,12)+-*
c(24,40,20)t(40,32,20)+s(40,40,28)*t(24,48,28)*
s(24,24,20)t(32,32,20)s(16,24,12)+s(24,32,20)**
c(40,40,20)t(24,40,28)+s(48,16,20)c(48,16,12)-+
s(24,32,28)c(40,32,20)*c(40,24,20)*s(48,32,12)-
s(32,40,28)c(24,40,20)t(32,24,12)-c(32,40,12)-+
c(24,24,20)s(40,32,20)*c(48,40,12)+t(24,48,28)+
c(48,32,12)s(24,48,20)+t(24,32,20)-s(16,48,20)-
s(40,32,20)s(24,48,20)t(32,48,28)s(40,40,20)*+-
s(48,32,20)s(48,24,20)*s(40,48,20)+s(32,16,20)-
s(32,32,28)s(32,24,28)s(24,48,20)c(48,16,12)+-*
c(24,32,20)t(24,16,12)s(40,16,12)+-s(40,40,20)*
c(40,40,20)s(40,32,28)*t(24,32,28)*t(32,48,28)*
t(24,48,28)t(32,48,20)-s(32,24,20)+s(48,32,20)-
s(24,40,28)c(32,24,20)t(48,40,12)+c(40,40,20)**
s(16,32,20)s(16,8,12)s(16,24,20)s(32,32,12)-+*
t(32,40,20)t(32,48,28)s(32,40,12)-c(40,40,20)*+
c(40,40,20)s(40,24,28)s(24,16,20)+*t(32,32,28)*
c(40,40,20)s(40,40,28)t(40,40,12)-s(16,24,20)-*
t(32,48,20)c(40,24,12)+t(48,24,12)-s(40,48,20)*
s(40,24,28)s(48,16,20)*s(16,32,20)+c(40,24,20)*
c(40,24,20)s(16,32,12)c(48,24,12)+c(24,32,12)-*
s(24,32,28)s(32,40,28)t(32,24,20)s(8,48,12)+**
s(16,40,20)c(16,24,12)+c(48,24,12)+c(32,32,20)+
s(40,40,28)s(24,40,28)s(8,24,12)-s(32,24,12)--
t(32,48,28)t(24,40,28)*s(40,24,12)+c(48,48,12)+
c(32,40,20)t(32,32,28)+s(16,40,20)s(16,16,12)+*
s(24,40,28)t(32,48,28)c(32,40,20)c(40,24,12)-++
s(32,24,28)s(40,40,28)t(40,40,20)s(16,40,20)---
s(48,32,20)s(24,16,12)+c(32,40,12)-s(16,48,12)+
s(16,32,20)s(16,48,20)s(24,40,20)*-c(40,32,20)+
s(24,40,28)s(24,24,20)-c(40,48,12)t(32,40,20)+*
s(16,40,20)s(32,40,28)s(32,48,20)-s(32,32,28)*-
s(16,48,20)c(24,32,20)t(40,40,20)+s(40,48,20)*-
t(24,32,20)t(32,24,12)t(16,40,12)++s(40,48,12)+
s(24,48,20)t(32,32,20)t(16,32,12)++s(32,24,20)*
s(48,32,20)s(8,8,12)+c(32,40,20)s(32,16,20)++
s(24,24,28)c(24,16,12)-t(24,24,12)s(8,32,12)++
c(32,24,20)t(24,32,28)c(40,48,12)--s(40,32,12)-
c(48,24,12)s(32,24,12)s(40,48,20)+s(40,40,28)*+
t(32,56,12)c(40,24,20)s(24,32,20)-+t(40,24,12)-
c(24,32,20)s(40,40,20)+t(24,48,20)-s(40,32,28)-
s(32,32,28)c(32,32,28)t(24,24,20)-s(32,32,28)*-
s(16,32,20)t(32,24,20)c(24,32,20)*-s(32,48,20)-
s(8,48,12)s(24,32,28)s(40,24,20)*+t(32,32,28)*
s(24,16,20)s(16,48,12)+c(40,32,20)-c(32,32,28)*
c(48,24,12)c(32,24,20)s(40,24,20)-+t(32,24,20)+
t(24,24,20)t(24,40,28)s(40,40,20)*s(24,40,12)++
s(32,40,28)s(24,24,28)t(40,32,20)-*t(16,16,12)+
t(24,40,12)c(24,24,20)c(32,40,20)-s(40,16,12)++
s(32,8,12)s(40,40,28)+s(32,16,20)t(32,48,28)+*
t(32,32,20)c(40,32,20)s(40,24,28)*s(16,16,20)-*
s(24,16,20)c(16,24,12)s(40,32,28)+*c(40,16,12)-
s(16,48,20)t(24,48,28)*s(48,8,12)c(16,40,12)++
s(16,40,20)s(24,32,12)-t(32,56,12)t(16,40,12)+-
t(32,24,20)s(32,40,28)s(40,24,20)-s(24,48,20)*+
s(16,48,12)s(40,24,20)s(48,24,20)+s(24,24,20)*+
s(32,32,20)c(40,24,12)-c(32,40,12)+t(32,40,20)*
t(40,16,12)c(32,40,12)+c(48,16,12)+c(24,40,20)+
c(32,40,20)t(40,56,12)-c(32,32,20)s(16,32,20)--
s(32,40,20)c(32,40,20)s(40,32,12)s(16,16,20)+*-
s(32,40,28)s(32,32,28)s(48,32,12)s(8,32,12)++*
c(32,48,12)s(32,16,20)+s(40,40,28)t(40,32,20)-*
s(32,40,28)t(16,16,12)+s(32,48,20)t(24,32,20)-*
s(24,24,28)s(16,32,12)t(32,24,20)c(40,32,12)++*
t(32,40,20)s(48,32,20)c(40,24,20)s(32,16,12)-*+
c(32,32,28)s(24,48,20)c(40,24,20)c(40,48,12)+--
t(32,48,28)s(24,16,20)+t(16,24,12)-s(40,40,28)*
s(40,32,12)t(32,24,20)t(40,24,20)s(32,32,28)*++
s(16,32,20)c(16,16,12)+t(40,40,20)+s(32,24,28)*
s(24,40,20)s(40,16,12)+t(24,32,28)c(24,32,20)**
c(32,40,20)t(24,24,20)s(32,16,20)t(16,56,12)++*
c(32,40,20)t(24,40,28)c(32,32,28)s(24,40,12)-**
s(24,48,12)s(40,16,12)+s(24,32,28)s(24,48,20)+*
s(32,24,20)s(40,16,12)-t(40,48,20)+t(32,16,12)+
t(24,40,28)s(40,32,20)c(40,16,12)+s(40,40,28)*-
s(24,40,28)s(16,40,20)s(32,32,20)s(16,32,20)*+*
c(32,24,20)s(16,16,12)-s(40,16,20)s(40,32,28)**
c(24,40,20)s(40,32,20)c(40,48,12)+*s(16,40,12)+
s(24,40,28)c(24,32,20)*c(40,24,20)c(32,32,12)-+
s(32,40,28)s(16,40,20)c(40,32,20)s(16,32,20)+*-
s(8,16,12)s(16,24,20)s(16,32,20)c(32,32,28)**+
s(32,40,20)s(24,24,28)*t(24,40,28)+s(24,16,20)-
s(32,24,20)s(40,32,28)s(40,16,20)c(40,24,20)***
s(40,32,20)c(24,32,20)t(16,32,12)-c(16,40,12)+*
t(24,40,20)s(40,32,28)+s(32,32,20)-t(32,32,20)+
c(40,40,12)s(32,24,12)+s(40,16,12)-c(40,40,20)*
s(40,40,28)c(24,40,20)t(16,48,12)-*s(40,16,20)-
s(24,48,20)s(48,40,12)+t(24,32,28)t(48,40,12)+*
c(24,32,20)c(24,40,20)s(40,32,20)t(24,40,28)+**
s(40,40,28)c(32,32,20)*t(48,48,12)t(32,40,20)++
s(24,16,20)c(32,32,28)s(32,48,20)-+t(32,16,12)-
c(40,24,20)t(48,24,12)-t(24,40,28)c(32,24,12)+-
s(24,32,20)t(24,48,20)s(32,32,28)+c(24,24,20)**
s(40,24,28)s(48,16,20)t(32,32,20)--c(16,32,12)-
s(32,40,12)s(48,32,20)+s(24,32,28)-s(40,32,28)*
s(16,40,20)t(24,40,28)t(32,48,28)-s(32,48,20)+*
s(48,48,20)c(16,48,12)+c(48,48,12)c(48,24,12)+*
s(16,48,20)s(40,48,20)-s(24,24,28)t(32,40,28)--
t(32,32,28)t(32,40,28)s(24,40,28)*s(40,32,12)+*
c(32,32,20)s(24,32,28)*s(40,40,28)t(24,48,20)+*
s(32,32,28)s(24,40,20)-t(24,56,12)c(40,24,20)+*
c(40,40,20)t(40,48,20)-s(32,40,28)s(40,32,20)**
t(40,48,20)t(40,32,12)+s(24,40,28)*s(32,16,20)-
t(48,16,12)c(24,32,12)+s(24,24,28)*c(32,48,12)-
c(24,32,20)s(40,24,28)*s(16,40,20)c(24,40,20)*-
c(40,32,20)s(40,24,20)t(24,32,12)-t(40,40,20)+*
t(32,32,28)c(32,32,20)s(40,48,20)+*t(16,56,12)+
s(24,16,20)t(40,24,20)+t(32,40,20)-c(24,32,20)*
s(24,32,28)s(24,40,12)-s(32,16,20)*c(40,16,12)+
s(48,32,20)t(40,48,20)-t(48,48,12)s(32,16,12)+-
t(24,32,28)s(40,24,28)*s(32,8,12)-s(16,40,12)-
s(48,48,12)s(24,32,20)+s(48,48,20)t(16,32,12)+*
c(40,24,20)s(32,32,28)+s(16,40,20)*t(16,24,12)-
s(24,24,28)t(40,24,12)-t(40,40,12)s(24,32,12)+-
c(32,24,20)t(40,16,12)s(40,24,20)s(40,32,20)*+-
s(16,16,20)c(24,40,20)c(32,32,28)c(32,32,12)-*-
s(24,24,20)t(16,48,12)t(24,32,12)+s(40,8,12)+-
s(32,32,28)c(24,32,20)*s(32,48,20)t(32,40,28)**
s(8,32,12)s(24,16,20)s(24,32,28)*+t(48,32,12)+
c(32,40,20)s(24,24,12)t(24,40,12)+-t(48,40,12)-
s(40,32,20)s(40,32,28)c(32,32,20)*s(32,24,28)**
s(40,24,28)s(48,16,20)c(32,32,28)*c(48,40,12)+*
s(32,40,20)t(24,40,20)s(40,40,12)--s(24,16,20)+
s(24,32,28)c(24,40,12)c(40,16,12)t(40,48,12)++*
s(16,24,20)s(32,24,20)s(24,24,28)t(40,40,20)-**
s(40,24,20)c(32,32,20)s(32,48,12)s(24,32,20)+--
s(40,32,28)s(48,40,20)t(24,24,12)+*s(48,32,20)*
c(32,32,20)c(40,32,20)*t(32,24,20)*t(40,48,20)+
t(32,32,20)s(8,8,12)t(48,56,12)++s(24,8,12)+
s(24,40,20)t(32,32,28)*t(40,32,12)+s(48,16,20)+
s(32,24,28)s(40,48,20)c(40,32,12)-s(24,16,20)+-
c(32,32,20)s(48,32,12)t(24,40,28)t(32,48,12)-+*
t(24,24,20)t(24,40,12)t(24,16,12)++t(24,32,20)*
s(32,40,20)t(32,24,12)+s(40,16,20)s(40,32,20)*+
t(24,48,28)s(24,40,12)-c(48,48,12)+t(32,48,28)+
t(24,40,28)t(40,48,20)+s(24,32,28)s(16,40,12)-*
c(40,32,20)s(40,40,12)c(24,16,12)+*s(40,48,12)+
s(32,40,28)s(48,48,20)*c(32,32,20)+s(32,16,20)*
s(32,32,20)s(24,40,28)s(16,8,12)t(24,40,28)+**
t(24,40,28)s(48,16,20)t(48,24,12)-t(24,48,28)+*
s(24,24,28)s(40,32,20)-s(32,32,12)+s(16,48,20)-
t(24,24,12)t(40,24,20)t(24,48,20)+c(16,40,12)-+
s(32,16,20)c(40,24,20)s(24,24,28)**s(48,24,12)-
s(24,40,20)s(32,32,28)s(24,16,20)*-t(24,32,28)*
c(16,32,12)c(16,40,12)t(32,16,12)++c(24,40,12)-
c(24,40,20)t(32,32,28)c(32,24,20)t(40,24,12)-**
c(16,48,12)s(32,8,12)c(24,40,20)t(24,48,12)-++
s(24,24,28)c(40,32,20)*t(16,48,12)+s(32,40,12)-
s(32,40,28)s(40,48,20)-s(32,24,28)*s(32,16,12)-
s(40,40,28)s(16,40,20)s(24,40,20)+*t(32,32,20)+
t(32,32,28)c(24,24,20)c(32,24,20)**t(32,48,28)-
t(24,48,12)t(32,24,20)s(32,8,12)-+c(32,32,20)*
c(40,32,20)t(32,24,20)+s(32,24,20)*s(24,40,28)*
s(24,24,20)t(24,48,12)+c(32,16,12)s(16,8,12)+*
c(48,16,12)s(40,48,20)+s(40,40,20)+s(48,16,20)*
s(32,32,20)c(16,24,12)s(24,40,28)t(32,24,20)-+*
s(40,24,20)s(8,16,12)s(32,16,20)+c(24,16,12)--
s(48,40,20)c(24,24,20)+t(24,32,28)c(32,24,12)-*
s(24,32,20)c(48,16,12)s(48,24,12)+t(24,32,20)+*
s(40,24,28)s(40,16,12)-t(32,48,20)+t(32,40,28)-
t(24,32,28)s(24,32,20)c(32,24,20)s(48,16,20)-*-
t(32,48,28)c(32,40,20)t(48,16,12)+*s(16,32,12)+
c(40,40,20)s(16,48,20)s(32,40,28)+t(32,32,28)**
s(40,24,28)t(24,32,28)t(24,40,20)+s(16,32,12)-*
c(16,48,12)t(32,32,20)+s(40,40,28)t(32,32,20)--
c(48,16,12)t(24,24,20)+s(40,16,20)c(32,32,12)+*
t(16,56,12)t(24,32,20)t(24,32,28)t(16,40,12)-*+
c(32,32,20)c(16,40,12)-s(24,16,12)-t(32,48,20)+
s(40,24,28)s(24,40,20)+s(24,16,20)-c(16,32,12)+
c(40,40,20)c(40,32,20)s(48,40,12)-c(24,32,20)**
s(24,48,20)t(24,32,20)s(16,16,12)++s(24,16,20)*
s(48,32,12)s(24,16,20)s(48,32,12)c(32,16,12)+-+
s(8,24,12)c(24,24,20)s(48,48,20)+t(32,40,20)*+
t(48,40,12)s(48,40,12)s(16,48,20)+t(40,32,20)-+
t(32,48,20)s(16,40,20)c(32,40,20)s(40,24,12)-*+
t(40,24,12)s(48,40,20)+s(32,32,12)-t(40,24,12)-
t(32,40,28)t(40,56,12)+s(32,32,28)*t(24,40,28)*
t(16,32,12)t(32,40,20)t(24,32,12)++s(24,48,20)*
s(32,40,12)s(32,16,20)c(40,16,12)-+t(32,32,20)-
s(24,48,12)t(40,48,20)s(16,16,12)s(32,24,20)+-+
t(24,24,20)s(16,32,20)c(32,16,12)t(16,24,12)++*
s(24,40,28)s(32,24,28)t(32,32,28)*c(40,32,20)**
s(24,24,28)c(24,32,20)*c(40,16,12)-s(32,32,20)*
c(24,40,20)c(32,32,12)c(32,40,20)s(32,40,12)-+-
s(48,16,20)c(32,24,20)t(48,16,12)-s(40,32,20)--
c(32,32,28)s(16,24,20)*t(24,32,20)+c(24,40,12)-
c(24,32,12)s(24,32,20)t(32,40,28)*+t(40,56,12)+
s(32,40,28)s(24,32,28)s(48,40,20)-t(24,40,12)-*
c(24,40,12)s(40,24,12)s(32,40,28)s(24,24,28)*++
s(32,40,12)s(48,40,12)+s(40,40,28)s(24,48,20)-+
t(24,40,28)s(24,48,12)c(40,40,20)s(24,48,20)*+-
c(40,16,12)c(32,32,20)s(48,24,20)-+c(24,32,12)-
s(24,24,28)c(24,40,20)*s(8,32,12)s(8,40,12)++
t(40,32,12)s(24,8,12)+s(24,16,20)+c(32,24,12)-
c(24,32,20)t(24,16,12)-t(40,40,20)-s(16,40,20)*
s(24,16,20)s(32,16,20)*t(32,32,28)t(24,32,12)-+
c(48,24,12)t(24,32,12)+t(48,56,12)+t(32,48,20)-
s(40,24,28)t(32,56,12)s(40,16,20)++s(40,40,12)-
s(32,40,12)t(24,32,20)+s(40,16,20)c(40,32,20)*-
t(32,48,12)s(32,32,20)+s(32,48,20)+c(48,16,12)+
c(32,32,28)s(24,48,20)c(40,48,12)+*s(24,48,20)*
c(32,32,28)t(24,40,12)s(48,48,20)c(48,48,12)-+-
s(40,32,20)c(24,16,12)-s(48,16,12)-s(40,48,12)-
t(16,16,12)t(40,48,20)+s(40,40,20)*s(40,40,12)+
c(40,40,20)s(32,24,20)t(24,24,20)*t(40,40,20)+*
s(32,16,12)t(24,32,28)t(24,40,20)*+s(40,32,20)+
s(16,16,12)c(32,32,20)s(48,40,12)-+t(40,48,20)-
s(48,32,20)c(40,24,20)*s(32,32,28)*s(16,48,20)+
s(40,32,20)s(24,32,28)+c(24,40,20)s(32,32,20)*-
s(16,32,20)c(24,40,20)c(40,32,20)t(24,48,28)-+*
c(16,48,12)t(40,32,20)+s(32,24,28)*s(32,48,12)-
s(32,32,28)c(40,24,20)c(16,32,12)+s(48,16,12)-*
c(40,16,12)s(32,48,20)+s(40,16,20)c(32,24,20)*-
s(32,32,28)t(24,48,28)t(40,56,12)-t(40,48,20)-*
t(48,16,12)c(32,24,20)s(16,24,20)-+s(40,32,20)+
s(24,40,20)s(48,40,20)-s(32,24,28)s(40,40,20)+*
s(32,48,20)c(32,24,20)s(24,32,28)*s(24,24,20)*-
c(32,32,20)s(32,8,12)s(32,32,20)+*s(48,48,20)+
s(40,24,28)s(32,24,28)c(16,40,12)-c(48,40,12)-*
s(24,24,28)t(24,24,12)s(40,16,12)+c(24,48,12)+*
t(32,40,28)s(40,40,28)s(32,40,20)--c(32,40,20)*
s(24,48,20)s(32,32,20)+s(16,48,20)-s(24,32,20)*
t(32,32,20)s(24,32,28)c(32,48,12)-*t(48,16,12)+
c(32,32,20)s(48,32,20)-c(16,40,12)s(24,24,12)+*
s(48,16,20)s(32,24,28)s(48,40,20)+*s(48,8,12)-
s(24,32,12)t(32,48,20)+s(48,32,20)c(32,16,12)+-
s(16,24,12)c(32,24,20)s(32,32,28)*+s(24,32,12)-
s(40,32,28)t(24,32,28)s(24,48,12)-c(24,32,20)**
s(24,32,28)c(32,24,20)c(32,48,12)s(24,40,20)+*-
s(24,40,20)c(24,32,20)*s(32,40,28)t(32,24,20)-*
t(32,32,28)t(16,24,12)s(24,48,20)t(16,32,12)++*
t(40,32,12)s(48,32,20)t(32,40,20)c(24,32,20)*-+
s(16,40,20)t(40,40,12)+s(24,32,20)t(24,24,12)-*
c(40,32,20)t(24,40,20)c(40,24,12)+s(48,24,12)-*
s(16,32,20)s(48,16,20)s(24,24,20)+*c(16,16,12)+
c(40,48,12)s(40,32,20)t(24,32,20)+s(40,16,20)*+
c(32,24,20)c(32,48,12)+s(24,24,28)-s(40,8,12)+
t(16,56,12)c(24,32,20)c(40,24,12)s(32,40,12)+*+
s(40,32,28)s(40,40,20)c(16,48,12)+s(48,32,12)-*
t(40,56,12)t(24,32,20)+s(24,40,20)+c(48,24,12)+
c(32,24,20)t(32,32,20)-t(32,24,12)+s(16,48,12)+
s(48,16,20)t(40,32,20)+s(32,32,28)+s(40,40,20)*
s(40,24,20)s(40,40,28)s(8,8,12)++t(40,48,20)-
c(32,24,20)c(32,24,12)-s(40,32,28)s(32,32,28)**
s(40,24,28)s(24,40,28)*c(24,32,20)s(32,24,20)**
t(24,40,28)s(16,48,20)t(32,48,28)*-s(16,40,20)+
s(40,48,12)s(40,24,28)s(24,24,28)s(48,32,20)+*+
t(32,16,12)s(24,24,28)s(16,24,20)s(40,16,20)-*+
c(32,32,28)c(40,40,20)-c(24,40,12)-s(16,32,20)*
c(24,32,12)s(40,24,28)s(48,40,12)-t(32,40,28)-+
s(48,16,12)t(24,40,28)t(32,40,28)++s(24,24,28)*
c(32,32,28)s(48,24,20)s(16,32,12)+s(40,16,12)--
c(40,40,20)s(48,48,20)t(32,48,28)*-c(24,40,20)-
c(40,24,20)t(40,56,12)t(32,32,28)+s(16,24,20)+*
s(16,32,12)s(24,16,12)+t(32,16,12)-c(40,24,20)-
s(32,24,20)c(24,24,20)s(16,32,12)s(48,40,20)+*+
s(24,48,20)s(40,24,28)c(24,40,20)s(40,40,28)+*-
s(32,32,20)s(24,16,12)-c(32,40,20)*s(16,48,20)+
s(40,32,20)s(8,48,12)s(32,40,28)s(40,24,20)*+*
s(48,40,20)t(40,32,20)s(48,8,12)+-s(32,32,12)+
s(48,48,12)s(40,24,28)+c(16,48,12)+s(32,48,20)-
c(32,32,20)c(32,40,20)c(40,24,20)-+t(24,48,28)-
t(32,32,28)c(24,48,12)s(32,16,20)+*s(24,40,20)+
s(40,24,20)t(24,32,20)t(24,16,12)t(32,40,20)++-
s(24,40,28)s(40,40,12)s(16,8,12)+-s(16,24,20)*
t(24,32,28)s(24,24,28)*s(24,40,20)t(32,24,12)-*
t(40,32,20)t(32,32,28)s(32,8,12)t(16,56,12)+-*
s(8,24,12)c(24,32,12)s(48,40,12)+t(24,40,28)*+
s(24,16,20)c(24,32,20)s(16,16,12)+*s(32,32,12)+
c(32,32,20)s(40,24,20)c(32,24,20)*s(24,16,12)-*
s(32,32,12)s(16,16,12)+c(40,16,12)+s(24,32,20)+
t(24,32,28)s(32,32,12)-s(24,32,28)t(32,24,20)*-
s(24,40,20)s(32,40,20)t(24,40,28)**t(24,48,28)*
c(32,32,28)s(16,40,20)-s(40,48,12)-t(24,32,28)-
t(40,40,12)t(24,40,12)+s(16,16,20)s(40,32,28)-+
s(24,24,28)t(32,48,20)s(8,40,12)+c(32,40,12)+*
t(40,48,12)c(32,24,20)+c(40,32,20)t(32,32,12)--
s(16,8,12)s(32,40,20)+c(40,24,20)s(32,16,20)--
t(24,48,20)s(24,40,20)c(48,24,12)++s(24,24,20)-
c(24,24,20)s(40,48,20)t(32,40,28)*s(32,48,20)*-
t(40,32,20)s(32,48,12)+t(40,24,12)-s(48,24,20)-
s(32,24,28)s(40,32,28)c(40,24,12)-*c(32,40,12)+
c(32,32,28)s(16,48,12)t(48,40,12)+*t(24,48,28)+
s(40,40,12)t(32,32,20)+s(8,24,12)+s(16,32,12)-
s(32,24,28)t(24,48,20)s(24,32,12)+-s(48,16,20)-
t(32,32,28)s(40,16,12)-s(16,40,12)-s(32,24,28)*
c(32,40,20)s(40,40,28)t(24,32,20)-*c(24,40,20)*
s(32,32,20)t(40,48,12)s(16,40,12)+s(32,24,20)--
s(40,16,20)s(24,24,28)*c(32,48,12)+c(48,40,12)+
c(32,40,20)t(48,48,12)s(24,24,20)+s(40,16,12)--
s(40,24,28)s(24,16,20)-t(40,32,20)*s(40,48,12)+
s(40,24,28)s(40,48,20)+s(32,40,28)c(40,24,12)--
c(40,32,20)s(40,48,20)c(40,40,20)t(24,48,28)*--
s(16,48,12)t(32,32,28)t(24,40,28)-+s(40,40,12)-
t(24,32,28)c(40,40,20)*c(40,24,20)s(24,32,28)-+
s(32,40,28)s(32,32,28)s(32,24,28)*s(24,16,12)-*
s(40,16,20)c(40,24,20)c(40,40,20)-c(24,40,12)+-
s(40,48,20)s(40,24,20)s(40,16,12)--t(48,16,12)+
s(24,32,20)c(48,24,12)c(24,40,12)t(48,16,12)+++
t(32,40,28)c(40,32,12)-s(16,24,20)c(16,40,12)+-
c(24,32,20)t(40,32,20)c(24,24,20)c(32,40,20)*+*
t(16,16,12)t(24,32,28)t(16,24,12)-t(24,48,28)-+
s(40,24,12)t(32,48,12)c(24,40,12)++t(16,48,12)-
s(16,48,20)c(24,32,12)t(32,24,12)+c(16,40,12)+*
t(48,48,12)s(32,16,20)+s(48,16,20)*c(40,16,12)+
s(40,24,28)c(40,32,20)*c(32,24,20)t(24,32,20)*-
s(24,32,28)t(32,48,20)s(40,24,20)+*s(48,16,20)+
t(16,24,12)s(48,32,20)s(40,32,20)*+c(40,40,20)*
s(40,24,28)s(32,40,20)c(32,32,12)-+s(48,40,20)*
t(32,48,20)s(40,24,20)-c(16,40,12)-s(40,24,12)+
s(24,16,20)s(40,24,20)c(24,24,20)*-s(16,32,12)+
c(24,24,20)s(48,32,12)+s(24,40,12)-c(24,24,12)-
t(24,24,12)c(40,48,12)+s(32,48,20)+t(24,32,20)-
s(40,32,28)s(48,48,20)-t(48,16,12)-s(48,24,20)-
s(40,32,28)t(16,40,12)+s(24,32,28)*s(40,24,20)-
s(24,40,20)s(24,32,20)*c(48,32,12)s(8,40,12)+-
s(24,16,20)s(32,16,20)t(40,40,20)s(24,40,28)+-*
t(32,48,28)s(32,32,28)s(16,48,20)-c(24,32,20)--
s(32,32,28)t(32,32,12)-c(32,40,12)+s(16,40,12)-
t(32,48,28)t(24,48,28)c(24,40,20)+*c(32,40,20)*
t(16,32,12)s(40,16,20)+s(24,32,12)-s(24,8,12)-
c(32,32,28)t(32,24,20)-s(24,32,28)*s(48,32,20)-
c(32,40,20)c(16,32,12)-s(24,16,20)-s(40,24,20)-
s(48,48,12)t(40,24,20)+s(24,32,20)s(24,24,12)--
s(48,16,20)t(40,16,12)t(24,32,28)+s(32,16,20)*-
s(32,24,28)t(24,32,28)c(24,48,12)--s(24,24,28)*
s(48,40,20)t(24,16,12)+c(32,32,20)+s(32,24,12)-
t(32,48,20)s(24,24,28)c(32,32,28)*t(40,16,12)--
s(32,24,20)s(24,48,20)+c(16,24,12)-s(32,24,12)-
c(24,32,20)t(32,32,28)*t(32,24,20)s(40,40,20)+*
s(32,24,20)s(24,32,20)s(24,40,20)*t(48,32,12)+-
s(24,32,28)c(48,16,12)s(24,48,20)+*s(24,32,20)*
t(40,16,12)s(48,32,20)s(40,24,20)s(16,32,20)-*+
s(48,32,20)t(32,48,20)c(32,32,28)s(40,48,20)**-
s(40,40,28)t(24,32,28)-s(32,24,20)-t(32,40,20)+
t(32,16,12)s(24,40,28)s(16,32,20)*+t(32,24,12)-
s(48,8,12)s(8,48,12)t(40,16,12)s(24,48,20)+++
s(24,32,28)s(48,16,20)s(40,32,28)*-s(40,48,12)+
c(40,32,12)s(40,24,28)t(40,40,20)t(32,24,12)+*+
c(40,40,12)s(32,32,28)c(40,32,20)*s(24,32,20)-+
t(40,40,12)s(40,24,20)s(40,32,20)*+s(24,24,20)-
c(24,24,20)t(24,24,20)-c(24,32,20)s(24,16,20)+*
c(24,24,20)t(32,40,20)t(40,40,12)s(8,16,12)+-+
t(24,40,12)t(40,48,20)t(24,32,28)c(24,40,12)-++
c(40,32,20)s(40,32,20)s(16,48,20)+*s(24,24,28)+
s(32,24,28)s(32,24,12)t(24,56,12)+-s(24,16,12)-
s(24,40,28)s(24,24,28)s(32,24,28)**c(16,24,12)-
t(24,32,28)s(24,24,28)s(40,16,20)s(48,16,12)-*-
s(24,24,20)t(32,32,28)t(24,40,20)s(40,48,20)+*+
c(24,24,12)c(40,40,12)s(48,32,20)++s(40,24,20)*
s(40,32,28)t(32,48,28)s(32,40,20)s(24,40,20)**-
t(32,40,20)s(40,16,20)s(40,32,28)s(24,40,12)-*-
c(48,40,12)s(16,24,20)+s(24,24,20)*s(16,40,12)-
s(40,24,20)s(32,32,20)-t(40,32,20)+t(32,32,12)-
s(24,40,20)s(40,24,28)s(24,32,12)t(16,32,12)+--
t(24,32,28)s(32,24,20)*c(40,16,12)+s(32,16,12)-
c(24,24,20)c(32,40,12)s(40,48,20)++s(32,24,20)*
s(32,32,28)c(24,32,20)s(24,32,28)c(40,32,20)-**
s(48,24,20)s(32,24,20)+s(40,48,20)t(16,24,12)++
s(32,32,28)t(32,40,28)t(24,40,28)**s(48,16,12)+
s(40,40,28)s(24,48,20)t(48,48,12)+-s(32,24,20)-
t(24,24,20)c(32,40,20)c(32,24,20)s(48,48,20)+*+
s(48,40,20)s(40,32,20)+s(40,24,28)*s(16,40,12)+
t(16,48,12)t(24,40,28)s(40,16,20)t(24,32,28)+*+
t(24,40,28)c(32,32,20)c(40,32,20)s(24,32,20)-*+
s(32,24,28)t(24,40,20)s(32,24,20)+t(16,56,12)+*
s(32,16,20)c(40,24,12)-s(16,16,20)+s(16,32,20)*
s(48,24,12)t(16,40,12)t(32,32,20)++c(40,40,20)*
c(40,24,20)s(24,32,28)*s(40,32,20)s(40,48,12)-*
s(32,16,20)t(32,48,20)+t(32,32,28)*t(24,32,28)*
s(16,48,20)c(40,32,20)+t(48,32,12)-s(40,32,20)+
s(40,16,20)s(40,24,20)t(40,32,20)*-c(16,48,12)+
c(48,48,12)c(32,40,12)t(16,32,12)+s(32,40,20)*+
s(48,32,20)t(16,24,12)t(16,56,12)+s(32,40,12)+-
s(48,32,20)t(32,56,12)s(40,16,20)+t(40,24,20)+-
c(48,40,12)t(40,16,12)+s(48,24,12)-t(32,24,20)-
t(32,48,28)t(32,32,12)-s(40,40,28)s(8,40,12)+*
s(40,48,20)s(40,32,28)s(32,32,28)t(24,24,20)*-*
s(48,24,12)t(24,40,20)+c(24,40,20)c(24,24,12)-*
c(40,40,12)c(32,32,20)s(24,48,20)s(32,48,20)*-+
s(40,32,28)s(32,24,28)*s(24,32,12)-s(24,16,12)-
c(24,32,12)c(16,16,12)s(32,8,12)++s(24,40,20)-
c(32,32,20)t(32,48,20)s(24,40,20)c(32,24,20)*+*
c(32,32,20)t(24,40,28)*t(24,32,28)t(40,40,20)-*
s(32,48,12)t(32,40,28)s(32,32,28)s(48,32,20)-*+
t(24,40,28)s(32,40,20)*c(40,48,12)-s(24,16,12)+
s(32,24,28)c(32,32,20)c(32,40,20)+*c(16,24,12)-
t(32,40,28)c(24,24,20)s(32,32,12)-t(40,32,20)-+
t(16,48,12)s(24,24,20)+s(32,24,12)-c(32,40,20)-
s(24,40,28)s(40,32,28)c(48,16,12)-*c(24,24,12)-
s(40,32,28)s(32,32,28)t(32,40,20)-*s(24,16,20)+
t(24,40,28)s(32,16,12)c(32,40,20)s(40,24,20)-+*
s(40,40,28)t(32,32,28)*c(48,48,12)t(48,40,12)+-
s(40,16,20)s(24,24,28)*c(40,40,12)+t(32,40,28)*
s(40,32,20)c(40,40,20)+t(40,56,12)-s(32,24,28)-
s(16,8,12)s(32,16,20)c(32,24,12)-s(48,48,12)++
s(32,40,28)c(40,24,12)-t(32,48,20)s(48,16,12)++
c(24,24,20)s(40,16,12)-t(24,32,28)t(32,40,20)-*
s(24,32,28)s(40,40,28)s(48,40,12)-c(32,32,28)**
s(48,48,20)t(32,48,28)s(16,32,20)t(24,32,28)*-*
s(40,32,28)t(16,32,12)+s(32,24,20)c(40,24,12)-*
s(16,40,20)s(24,32,28)*s(32,48,20)s(16,48,20)*-
t(40,32,20)c(32,32,28)t(40,40,20)-+c(40,40,20)*
s(40,40,28)s(40,24,20)t(24,48,12)s(48,24,20)+*+
s(32,24,28)t(48,56,12)+s(16,16,20)+c(40,40,20)*
c(40,40,20)c(16,24,12)t(40,24,12)+-c(40,24,20)-
s(32,40,28)t(32,32,20)-s(24,40,20)t(16,24,12)--
s(24,32,20)s(16,48,12)+s(32,32,20)*t(24,48,12)-
s(24,32,28)c(40,40,20)t(24,32,28)t(40,32,20)++*
t(40,16,12)s(40,8,12)+t(40,32,12)t(40,24,20)++
s(40,32,28)s(24,16,20)s(40,40,28)s(24,24,28)*+*
s(40,32,20)c(24,32,20)*t(40,40,12)+t(48,16,12)+
t(24,32,28)s(48,32,20)-s(32,32,20)t(24,40,28)*+
t(24,56,12)t(32,24,20)+s(24,32,20)c(24,48,12)--
t(32,40,28)c(32,40,20)*c(24,24,20)t(16,48,12)+*
s(32,24,28)s(16,40,12)s(40,16,20)c(32,32,20)*+*
s(24,24,28)s(48,48,12)s(24,40,28)+*s(48,48,12)+
c(32,32,28)s(16,24,20)-s(48,40,12)-s(48,8,12)+
t(24,48,20)s(16,24,12)+s(32,32,28)*s(32,40,28)*
s(24,40,28)t(24,24,12)c(16,16,12)++s(32,32,20)-
s(40,8,12)s(32,40,28)+s(32,8,12)t(16,56,12)+-
t(24,40,20)s(40,32,12)+s(40,24,20)-s(48,32,20)-
s(48,40,12)c(40,40,12)c(40,32,12)++s(40,32,20)*
s(40,48,20)s(32,40,28)t(32,32,28)*+t(48,56,12)-
c(40,32,20)c(24,40,20)c(48,16,12)+*t(32,32,12)-
s(32,24,12)c(16,32,12)t(16,24,12)++s(32,32,20)*
s(40,32,28)t(24,32,12)-s(48,24,20)*s(32,24,28)*
s(48,24,20)s(32,24,28)*s(24,40,12)+s(48,16,12)+
c(48,40,12)t(24,24,20)+s(24,8,12)+s(24,40,28)*
c(24,32,20)s(40,32,28)*t(40,32,12)-t(32,32,28)*
s(24,40,28)s(40,40,28)t(24,40,12)-t(32,24,20)-*
c(40,32,20)c(40,24,12)s(24,40,20)+c(24,48,12)-*
t(40,24,20)c(24,32,20)s(32,32,28)s(24,16,20)**+
t(48,32,12)s(16,16,12)c(24,40,20)c(32,32,20)*++
c(16,24,12)c(40,40,20)s(8,16,12)t(40,48,20)+*+
c(24,32,20)t(16,32,12)-s(40,40,28)t(32,32,28)*+
t(32,40,20)s(40,24,28)c(24,40,20)*+t(24,48,28)*
s(40,24,12)t(48,40,12)t(16,16,12)s(8,8,12)+++
t(16,48,12)t(48,48,12)+c(24,32,20)c(16,40,12)-+
s(24,40,20)t(48,24,12)s(32,32,28)c(24,24,20)*+*
c(24,40,20)c(40,40,20)t(32,48,20)*c(16,40,12)+*
c(48,32,12)c(32,24,20)+s(32,32,28)t(32,32,20)--
s(24,32,20)s(32,24,28)s(8,32,12)+t(40,40,20)-*
s(16,24,20)s(8,40,12)+t(32,48,28)t(40,40,20)++
t(40,48,20)t(32,40,12)s(24,16,20)s(32,24,28)*+-
t(32,48,20)t(24,40,28)s(16,32,20)*c(40,24,12)+-
s(32,24,20)s(40,40,12)s(32,16,20)s(16,16,20)*+*
s(48,16,20)t(24,16,12)+c(16,16,12)-t(32,24,12)-
s(24,40,28)s(40,40,28)*t(24,40,28)s(24,16,20)+*
t(24,40,28)c(40,40,12)-s(48,24,20)t(40,48,20)++
t(24,40,28)t(48,48,12)+c(16,32,12)-t(24,32,12)+
s(40,40,28)s(40,48,20)-s(16,32,20)-t(32,32,20)-
s(16,32,20)s(48,48,20)+c(16,24,12)-s(16,24,20)+
s(40,16,20)c(32,40,20)+c(24,16,12)-t(24,24,20)+
t(32,32,28)s(32,40,28)s(40,40,28)s(8,16,12)+**
t(32,48,28)c(40,32,20)c(40,24,20)*t(32,32,20)*-
s(40,24,20)s(40,24,12)-s(48,48,12)+t(48,32,12)-
c(16,48,12)t(40,48,20)+c(16,32,12)+s(16,16,12)+
t(48,16,12)c(32,40,20)t(24,32,28)c(16,16,12)-*+
t(32,48,28)t(32,40,28)s(24,24,20)s(32,16,20)*+*
c(32,32,28)s(40,40,28)s(16,40,20)-*t(32,40,20)-
s(24,40,28)t(48,48,12)+t(24,32,28)s(24,8,12)+*
c(32,32,20)t(32,40,28)s(24,24,12)-t(24,48,12)-*
c(32,40,12)t(32,40,28)s(40,40,28)s(32,24,28)*-+
t(32,40,20)t(24,32,20)s(40,40,20)c(32,32,20)*+*
s(40,32,20)s(24,8,12)+s(32,48,20)+c(32,32,20)*
t(24,48,20)s(48,48,20)t(16,16,12)s(48,40,20)+*+
s(48,24,20)t(48,16,12)-c(32,32,20)c(24,40,20)++
t(40,48,20)s(48,48,20)s(8,48,12)+s(8,40,12)-*
s(32,32,28)s(48,40,20)s(24,40,20)--s(32,32,20)*
t(16,32,12)s(40,16,20)s(48,24,20)*+t(24,40,28)-
s(24,32,28)s(48,48,20)-s(48,40,12)+c(24,16,12)-
c(24,24,12)s(32,48,20)+s(24,32,28)t(32,48,20)+*
s(40,40,28)s(32,32,20)t(24,48,28)s(32,24,20)---
c(32,32,20)t(24,48,20)s(48,32,12)++c(16,24,12)-
s(32,32,28)s(16,16,20)s(24,40,20)+*c(32,32,20)*
s(24,40,20)s(32,32,20)+t(24,32,28)s(16,32,20)*-
s(40,32,28)s(48,48,20)+c(32,32,28)s(48,48,20)-*
s(40,16,20)s(40,40,12)+c(24,32,20)s(8,8,12)+*
t(40,48,20)s(16,8,12)c(40,24,20)t(32,48,20)++*
s(32,40,28)t(16,48,12)s(24,24,28)+*t(24,32,20)*
s(24,24,28)c(40,40,12)-s(32,32,20)c(48,24,12)-*
c(32,24,20)c(32,24,12)t(16,16,12)+*t(24,48,28)-
s(32,24,20)t(32,24,12)s(32,40,20)c(16,24,12)-+*
s(32,24,12)t(40,40,20)t(32,40,12)++c(32,40,20)*
s(32,24,20)s(40,48,20)s(32,32,20)s(40,24,20)---
s(32,24,20)s(40,16,20)t(32,48,12)c(16,40,12)++*
c(24,24,20)s(40,32,20)s(16,32,20)++s(40,24,28)*
s(48,48,12)s(48,16,12)t(24,40,20)++c(40,32,20)*
c(48,32,12)t(40,24,20)+s(8,40,12)+s(48,32,20)-
c(40,48,12)s(48,40,12)+s(48,40,20)t(40,40,20)+*
t(16,24,12)s(32,48,20)c(40,24,12)+t(32,32,28)*+
c(32,40,20)s(32,32,20)t(32,24,20)+t(16,32,12)--
s(48,40,20)s(8,48,12)s(40,48,20)+c(32,32,20)--
t(24,48,20)s(48,48,12)+t(16,24,12)+t(24,32,20)-
s(24,48,20)s(16,32,20)s(48,40,20)s(40,24,28)+--
s(16,48,20)t(40,16,12)+s(32,24,28)+s(24,16,20)-
s(32,32,28)c(40,40,20)c(32,40,12)--s(24,32,20)-
s(16,24,20)s(32,40,20)c(24,40,12)s(40,24,28)+*-
s(40,32,28)t(32,32,28)*c(32,24,12)-s(48,24,12)+
c(32,32,20)t(24,48,28)s(32,40,20)c(24,24,12)-*-
c(40,32,20)c(40,40,20)*t(24,56,12)+c(32,40,20)*
c(32,32,20)c(24,40,20)s(24,40,12)--c(24,16,12)-
s(16,40,12)t(24,40,28)s(16,48,20)*+t(40,32,12)+
c(32,32,20)s(32,40,20)*t(32,24,12)+t(24,56,12)+
t(32,40,28)s(24,32,20)c(32,32,20)c(32,24,20)***
s(16,32,20)s(16,16,12)s(16,32,12)s(40,24,12)++*
s(48,24,20)s(16,24,12)+c(40,32,20)*t(24,24,20)-
c(24,48,12)s(40,48,20)+s(24,32,20)s(40,16,20)--
s(24,48,20)s(32,48,12)t(40,40,20)+-s(32,16,20)+
c(40,40,20)s(48,40,20)s(32,16,12)+*s(40,16,20)-
s(24,32,28)s(16,32,20)t(32,32,28)t(24,24,20)-+*
c(32,48,12)s(40,16,12)+s(32,40,28)s(40,40,28)**
s(48,48,20)t(24,40,28)t(32,32,12)-c(32,32,20)*-
s(32,24,28)c(40,24,20)c(48,24,12)--s(16,32,12)-
s(16,40,12)t(24,32,20)+s(40,16,12)+c(24,16,12)+
t(32,48,28)c(32,24,20)s(40,40,28)*-c(40,24,20)+
s(32,16,20)c(24,40,12)c(48,16,12)+c(40,24,12)+-
t(32,48,28)t(24,40,28)c(32,32,20)**s(24,32,12)+
s(48,16,20)c(40,48,12)s(16,8,12)s(40,16,12)++-
s(24,48,20)s(32,24,28)c(40,40,20)+c(16,16,12)-*
s(32,24,28)s(32,16,12)-c(24,24,20)*s(24,24,20)*
s(32,32,28)s(32,16,20)-t(24,40,20)t(32,56,12)+*
c(40,24,20)s(32,32,28)t(32,32,12)-*t(40,40,12)-
s(32,40,20)s(32,8,12)t(40,40,12)+s(32,32,20)++
t(16,56,12)c(40,24,20)+s(48,48,20)s(40,16,12)+*
s(40,40,28)c(16,24,12)s(24,40,28)t(16,24,12)-+*
s(48,16,20)c(32,32,20)c(24,32,12)-c(40,32,20)+*
s(40,24,28)s(32,40,28)*c(32,40,20)s(24,32,28)**
s(16,16,20)t(48,48,12)c(24,16,12)+t(16,56,12)++
c(24,24,20)s(32,32,20)s(16,24,12)--t(24,40,20)-
s(40,24,20)t(48,24,12)-s(48,24,12)-s(48,40,12)-
c(32,40,20)c(40,24,20)s(24,40,12)++s(32,40,28)+
t(16,56,12)c(16,16,12)c(24,32,20)t(16,16,12)-++
c(32,16,12)t(40,40,20)+s(32,24,28)+s(16,48,20)-
c(40,40,12)s(16,24,20)+t(32,48,20)-s(16,32,20)*
t(16,32,12)s(40,24,12)t(32,24,20)++s(40,24,28)*
s(24,40,28)s(40,16,20)s(16,32,12)+*s(16,48,12)+
c(40,24,20)s(48,48,12)+c(32,32,20)*s(40,48,20)-
s(40,40,28)s(8,16,12)+t(24,16,12)t(24,40,12)+-
s(24,16,12)t(40,40,20)+s(40,16,20)+t(40,24,20)*
s(8,24,12)s(48,40,12)s(16,16,12)++s(16,24,20)*
c(40,32,20)t(32,32,12)-c(48,32,12)-t(48,48,12)-
c(32,32,28)s(24,24,28)s(40,32,28)-s(8,16,12)--
s(24,24,12)t(32,32,28)c(40,40,20)*+s(40,40,28)*
t(32,56,12)s(24,24,12)+s(16,48,20)c(32,32,20)--
t(24,16,12)t(32,48,20)+s(16,48,20)c(16,40,12)-+
s(24,16,20)s(16,40,20)-s(32,24,28)s(40,24,28)**
t(48,16,12)s(16,24,20)t(24,48,28)+c(32,32,28)*+
c(24,16,12)s(16,32,20)+c(32,32,20)+t(24,40,20)*
s(32,32,20)c(24,40,12)-c(32,24,20)c(32,40,20)*+
s(40,8,12)c(32,40,20)+t(32,32,28)t(32,40,12)--
c(32,48,12)c(40,16,12)+s(40,24,28)t(32,32,12)-*
t(24,48,28)c(24,40,20)s(24,32,28)*+s(32,32,28)*
s(40,24,28)c(32,32,20)*c(16,40,12)s(32,40,20)+*
s(24,48,20)s(24,40,28)s(16,24,20)-*s(48,48,12)+
s(16,24,20)c(16,48,12)s(40,24,12)+s(24,48,20)+-
s(40,24,28)s(40,40,28)s(32,24,28)*c(40,16,12)--
t(40,40,20)s(40,16,20)+t(32,40,12)-c(24,24,20)*
s(40,40,12)s(32,40,20)t(32,48,28)s(24,40,28)**+
s(48,40,20)s(24,40,20)t(32,40,20)*-c(40,40,20)*
s(24,32,28)s(32,24,20)s(16,16,12)-s(40,40,12)+-
s(16,24,20)s(32,40,20)t(24,48,28)*-c(32,40,20)+
s(24,24,20)s(32,48,20)c(24,40,20)s(40,24,28)+*-
s(16,40,12)t(24,32,20)+c(24,24,20)c(32,16,12)-*
s(40,40,28)s(48,48,12)s(32,16,20)+-c(32,32,20)*
s(32,32,20)t(40,40,20)s(40,48,20)c(24,32,20)-+-
s(40,24,20)c(48,40,12)-t(24,32,28)s(40,24,12)+*
c(32,32,28)s(8,24,12)c(32,40,12)+-s(40,8,12)-
c(32,32,20)s(32,24,20)t(32,32,28)s(24,24,28)**-
c(40,24,20)c(32,32,12)t(24,40,28)++c(40,24,12)-
t(24,32,28)s(32,16,12)s(16,40,12)+c(40,24,20)+*
s(16,32,12)t(32,32,20)t(32,24,20)++s(40,40,28)*
s(48,32,12)s(24,40,20)c(32,40,12)s(16,24,20)+*+
t(32,32,28)s(16,40,20)t(40,32,12)+t(24,24,20)-*
s(48,40,20)s(40,24,28)s(40,32,28)*c(24,24,12)-*
t(24,40,20)s(48,16,20)+s(24,32,20)t(32,40,28)**
s(24,32,20)s(32,40,28)*t(24,48,12)s(32,24,20)+*
t(32,40,28)s(40,40,28)s(48,8,12)t(40,40,20)+**
t(24,24,20)s(32,40,20)c(24,16,12)c(40,24,20)++*
t(24,40,20)c(16,16,12)s(32,32,20)+s(40,16,20)-+
c(16,40,12)c(40,16,12)+s(40,24,28)s(32,16,20)*-
s(40,24,20)t(32,24,20)*s(48,48,20)+s(24,16,20)-
s(16,8,12)c(40,32,20)s(48,32,12)-s(32,40,12)-+
t(32,48,28)s(32,16,20)+s(16,32,20)t(40,48,20)+*
s(40,40,28)t(24,24,20)c(48,16,12)+c(32,32,20)*-
c(32,40,20)c(24,24,20)*c(32,32,12)c(16,24,12)+*
t(24,48,28)t(32,40,28)t(24,32,20)-s(8,48,12)--
s(16,48,20)c(32,40,20)-s(32,40,28)t(40,40,20)-+
c(32,32,20)t(32,48,12)s(48,24,12)+c(16,24,12)+*
c(16,16,12)s(32,40,20)s(24,40,20)*+c(32,32,20)*
t(40,40,12)s(32,48,12)s(16,32,20)++s(24,32,28)*
t(32,48,28)s(32,40,28)*s(40,40,28)t(24,40,20)-+
c(24,24,20)s(40,24,20)t(48,24,12)-s(48,8,12)--
s(48,16,12)s(32,8,12)s(24,24,12)+c(32,24,12)++
s(24,48,20)s(24,40,20)*c(40,24,20)+c(40,40,20)*
s(40,24,20)t(24,24,20)+s(16,32,12)s(8,8,12)+-
c(24,32,20)s(48,40,20)-s(32,32,28)s(32,40,28)**
c(32,40,20)s(32,32,28)t(16,32,12)-c(40,16,12)-*
s(40,32,20)s(32,40,28)*c(32,24,12)-s(24,40,20)+
s(48,16,20)s(24,40,28)+s(32,40,28)*s(40,24,28)-
s(32,24,28)c(32,40,12)-s(32,24,12)c(40,24,12)+*
s(32,24,20)c(48,40,12)+s(24,16,12)t(16,56,12)+-
s(48,16,20)s(24,40,28)s(24,32,28)+s(40,32,12)-+
s(32,24,28)t(24,40,28)c(40,24,12)+*t(16,40,12)-
c(24,40,20)s(24,48,12)t(16,56,12)+c(16,24,12)+*
t(16,16,12)t(32,40,28)c(40,32,12)-+s(32,40,20)*
c(24,40,20)c(16,24,12)-c(24,24,12)-c(16,32,12)-
c(40,40,20)t(32,48,12)-s(24,24,28)*s(24,32,12)+
c(32,24,20)s(32,32,20)s(48,32,12)+*t(40,48,12)+
s(24,40,28)t(40,40,20)t(40,48,20)+-c(32,32,20)*
t(32,32,20)s(40,24,28)s(24,32,28)s(32,40,28)***
c(32,24,20)c(48,16,12)c(24,24,20)+t(24,40,28)**
c(24,40,20)c(32,32,20)s(32,40,28)**s(24,24,20)*
c(40,24,12)c(32,32,28)c(32,32,20)s(16,16,20)--+
s(40,32,20)c(24,40,12)t(24,40,28)t(16,48,12)-+-
s(16,48,20)s(32,16,20)s(40,40,20)s(32,40,20)*++
s(24,24,28)s(32,40,28)*s(16,40,12)+s(32,48,12)+
s(40,24,28)s(32,16,20)*s(40,32,12)-c(40,40,20)-
t(40,24,20)t(40,40,20)+s(32,32,28)*c(40,24,20)*
c(24,32,20)t(24,32,20)c(48,16,12)+s(32,32,28)**
c(40,40,20)c(40,40,20)t(40,48,20)-t(32,32,12)--
s(16,16,20)c(32,40,20)+s(48,48,20)c(40,40,20)*-
t(32,40,20)t(32,48,20)s(32,24,20)+s(32,40,28)**
c(32,32,20)c(16,24,12)-t(40,40,20)*c(40,32,12)+
s(40,16,20)s(48,32,20)-c(40,32,12)+s(48,16,20)*
s(16,16,20)s(16,32,20)s(48,32,20)+*s(24,16,12)+
s(16,32,20)s(32,32,28)t(32,32,20)-t(24,48,28)+*
c(40,48,12)c(48,48,12)+t(40,32,20)s(48,32,12)+-
s(8,24,12)s(24,32,28)t(24,24,12)s(32,48,20)+*+
s(8,24,12)c(40,24,20)+t(32,40,28)c(32,32,20)*-
c(24,32,20)s(32,24,28)t(24,16,12)-s(32,24,12)--
c(48,16,12)c(24,48,12)+c(32,16,12)-s(48,16,12)-
s(32,24,28)s(16,40,12)s(32,32,28)t(32,48,28)*+*
s(24,16,20)s(40,16,20)s(24,32,12)+s(48,24,12)-*
c(40,40,20)t(24,40,28)-t(32,32,28)s(48,24,20)+*
t(32,40,28)s(24,32,28)s(24,40,28)*t(40,48,20)+*
s(24,40,28)c(24,24,20)s(8,16,12)-*s(40,40,20)-
t(40,24,20)t(24,40,20)s(16,24,12)-s(40,32,20)+*
t(24,32,20)c(24,32,20)s(48,48,20)-s(32,8,12)+*
t(24,40,28)s(32,24,28)+s(40,32,20)-c(32,32,28)*
s(48,40,20)s(40,24,28)+s(24,32,28)t(48,16,12)+*
t(40,24,20)s(32,32,20)+s(48,16,12)+s(40,16,20)-
c(32,40,20)s(16,48,12)-s(24,24,28)*s(32,24,20)*
s(40,48,20)s(24,24,28)+c(32,32,20)t(32,48,20)+*
s(32,40,20)s(40,16,20)-c(40,40,20)t(24,40,28)**
t(24,56,12)s(24,32,28)s(32,24,20)*+c(32,32,12)-
s(16,32,20)s(16,16,12)s(32,48,12)s(8,40,12)++*
c(48,40,12)t(24,32,28)+c(48,40,12)s(40,24,12)+-
s(40,24,20)t(24,16,12)t(48,40,12)+-s(48,40,20)-
s(40,40,28)s(40,24,12)-c(24,40,20)+s(32,48,20)*
s(32,40,28)c(24,24,12)-c(40,32,20)s(48,40,20)**
s(40,48,20)s(24,24,12)+s(24,24,12)-t(48,56,12)-
s(32,24,28)t(24,40,28)s(16,24,20)t(24,32,20)-++
c(40,24,20)s(24,32,20)s(16,48,12)-s(32,16,20)-+
t(32,16,12)c(32,40,12)+s(24,40,20)+s(24,48,20)*
s(40,24,20)c(24,48,12)+t(40,48,12)+s(40,32,20)-
s(24,8,12)s(24,24,28)c(32,24,20)*+s(40,24,20)*
c(32,32,20)c(24,40,20)c(32,40,20)*s(48,40,20)+*
s(48,40,20)s(48,48,20)c(24,32,20)c(40,32,20)*-+
s(24,32,20)s(8,16,12)s(40,40,28)s(48,24,12)-+*
t(32,56,12)t(16,16,12)+s(32,40,20)t(24,40,20)*+
c(40,40,20)s(48,24,20)c(24,24,20)t(24,32,20)-+*
c(32,24,20)s(32,40,28)s(24,8,12)+*s(24,32,12)-
c(24,40,20)c(32,40,20)s(24,8,12)+*t(24,56,12)-
t(32,32,28)s(32,32,20)s(32,32,28)s(32,48,20)---
t(40,48,12)s(40,24,20)s(40,48,20)-+s(32,24,20)*
s(32,24,28)c(32,32,20)*s(32,24,12)-s(40,24,20)+
s(40,32,28)s(16,48,12)t(40,24,20)+s(24,48,12)-*
c(40,40,20)s(48,32,20)s(40,24,20)--s(48,48,20)*
c(40,48,12)c(16,32,12)c(40,40,12)++c(40,48,12)-
s(16,16,20)t(48,16,12)s(48,32,12)+t(40,48,12)++
c(24,40,12)t(16,40,12)+t(32,24,20)s(40,32,28)*+
c(16,48,12)s(8,48,12)s(32,40,12)++c(32,40,20)*
s(24,40,28)t(16,16,12)t(32,32,12)+-s(16,32,12)-
s(24,32,28)s(16,16,12)-c(32,32,20)s(16,32,20)**
t(40,48,20)t(32,32,20)s(24,32,28)s(32,24,20)**-
t(32,40,28)t(32,48,28)s(40,16,20)s(16,24,20)-+*
t(32,32,28)s(24,32,28)c(32,24,20)*t(16,56,12)+*
s(40,24,28)s(16,16,20)s(32,16,20)+*c(32,24,12)+
t(32,40,20)s(40,32,28)s(40,24,28)*s(24,16,12)-+
s(32,24,28)s(32,40,20)c(48,48,12)s(8,24,12)+-*
s(48,48,20)c(32,40,12)t(40,40,20)++c(24,40,20)*
c(24,40,12)c(32,32,28)c(24,40,20)-+t(32,32,28)-
t(24,32,28)t(40,32,20)-s(24,32,28)c(24,24,20)**
s(40,24,28)s(40,24,28)s(24,48,20)+t(40,24,20)-*
s(24,40,28)t(16,24,12)-s(40,40,20)t(32,40,28)**
s(24,40,28)s(40,40,28)t(24,24,20)-*s(40,16,12)+
s(24,32,20)t(24,32,28)s(24,24,28)s(8,24,12)-**
s(40,40,28)t(32,32,28)*s(40,16,20)s(48,24,20)*+
c(40,24,20)s(40,32,20)c(24,24,20)*c(32,40,12)+*
s(24,48,12)s(32,32,28)s(24,48,20)-t(32,32,28)-+
c(48,48,12)s(16,48,20)t(24,32,12)++t(24,40,28)-
s(32,40,20)c(16,16,12)t(16,24,12)+c(32,32,20)+*
t(24,32,28)t(32,32,20)s(24,24,28)t(24,32,28)**-
s(16,32,12)s(40,40,20)+t(24,32,20)t(32,16,12)+*
t(32,40,28)c(40,24,20)+t(40,40,20)-s(32,40,20)-
s(32,40,28)s(16,48,20)s(24,32,20)+t(32,40,20)-*
t(24,56,12)c(40,24,20)+c(32,32,28)*s(24,24,28)-
s(40,32,20)c(16,32,12)+s(48,40,20)s(48,32,20)**
t(16,16,12)s(8,48,12)t(48,24,12)+t(40,32,12)++
s(40,24,28)s(24,24,28)*s(40,40,28)s(24,32,28)**
s(32,16,20)t(40,24,20)s(48,24,20)*-s(24,40,12)+
t(32,40,28)c(48,48,12)+c(24,24,12)+t(24,32,28)*
s(32,40,20)s(24,32,20)c(24,24,20)*s(32,32,20)*+
t(24,32,28)t(24,40,28)s(40,32,12)+*t(24,48,20)-
s(40,32,20)s(24,16,20)s(24,32,28)s(32,24,20)---
s(40,40,28)c(40,32,20)c(40,24,20)*-s(40,40,12)+
t(40,40,20)s(32,16,20)s(32,40,20)t(16,32,12)++*
c(24,40,20)c(32,48,12)c(32,32,12)+*t(32,24,12)-
t(32,24,20)s(48,40,20)c(32,24,20)-+c(40,24,20)-
s(24,8,12)s(40,48,12)s(32,24,20)+s(24,16,20)*+
s(24,32,20)s(24,40,12)-s(32,32,28)c(40,32,20)*+
s(32,48,20)s(48,48,12)-s(32,32,20)t(16,40,12)-+
c(24,40,20)c(48,16,12)s(32,32,28)s(40,32,12)-+*
c(32,32,20)c(40,16,12)-c(24,48,12)s(48,32,20)+*
s(32,24,20)s(24,16,12)-s(40,40,20)t(32,40,20)*-
t(32,48,20)s(24,32,28)c(40,32,20)c(32,24,12)---
c(40,32,20)s(48,48,20)*c(24,24,12)+s(32,24,12)+
c(32,24,20)t(32,48,12)s(24,16,20)+*t(40,32,20)-
c(32,32,20)s(40,40,20)-c(40,40,20)s(8,8,12)+-
s(24,32,20)s(32,40,20)*t(24,48,20)+c(32,48,12)-
s(32,40,28)s(32,48,20)c(32,32,20)s(32,24,28)*-*
t(24,32,20)t(24,56,12)c(40,24,20)s(32,40,20)*++
s(32,24,28)s(24,40,12)-s(16,16,12)-s(32,24,20)-
t(32,48,28)s(40,40,28)c(24,40,20)*c(40,24,12)-*
c(40,40,20)s(24,24,28)s(24,16,20)-s(16,40,12)--
s(48,32,12)s(32,32,20)+s(32,24,20)*c(16,32,12)-
s(40,40,28)t(48,56,12)s(40,40,12)+-t(16,48,12)+
s(24,48,20)t(32,40,20)s(40,48,20)+s(32,24,28)*-
s(32,16,20)s(32,32,28)s(16,16,12)-s(40,48,20)+*
s(8,16,12)t(24,32,28)t(32,40,28)-+s(32,24,12)+
s(48,16,12)c(40,40,12)t(24,32,28)+s(32,32,28)*+
s(48,32,20)s(40,48,20)c(24,40,20)-+s(48,24,20)*
s(40,48,20)s(40,32,28)t(48,40,12)-s(32,40,28)*-
t(32,32,20)s(40,24,12)+s(16,32,20)s(32,40,20)+*
c(24,24,20)s(24,40,12)t(24,32,28)c(32,40,12)-+*
t(24,32,28)c(32,32,20)*c(16,24,12)-s(48,24,20)-
s(32,32,28)t(40,24,20)s(32,24,20)*-s(24,32,20)-
s(32,16,20)t(24,56,12)s(32,32,20)+s(24,24,12)--
s(16,40,20)c(32,48,12)+s(24,48,20)+t(48,48,12)+
c(32,24,20)c(24,40,20)s(48,32,20)+s(40,24,20)**
s(24,24,20)s(8,24,12)t(32,32,28)s(16,32,20)-+-
s(48,40,20)t(40,40,12)-s(32,40,20)s(40,24,28)*-
t(32,48,28)c(32,24,12)-s(40,48,20)*s(40,32,12)-
t(16,24,12)t(40,32,20)+s(24,32,20)+c(24,16,12)-
s(32,48,20)s(32,32,28)+s(16,32,20)t(48,32,12)+-
s(40,24,20)s(40,16,20)*s(48,40,20)c(32,32,28)*-
c(40,48,12)s(32,32,20)s(32,16,12)-+s(40,32,20)*
c(16,16,12)s(32,32,28)+t(40,24,20)-s(32,40,28)*
s(24,32,12)s(40,16,20)+s(16,40,20)c(32,48,12)--
t(40,24,20)s(40,32,20)+s(40,40,28)*t(24,40,28)-
s(40,48,20)s(24,40,28)s(8,48,12)-*c(48,48,12)+
c(48,40,12)s(24,16,20)+c(24,24,20)s(16,24,20)**
s(32,32,28)c(32,24,20)c(48,40,12)s(24,32,12)+*-
t(32,32,12)s(40,16,20)c(32,16,12)t(40,40,20)+*+
t(40,56,12)s(32,16,12)+s(24,48,20)s(32,24,28)--
t(32,48,20)s(32,32,20)t(24,48,20)+*t(40,16,12)+
s(24,40,28)t(24,32,20)s(32,40,28)*-t(32,48,28)-
s(40,32,28)t(40,40,20)t(40,24,20)--c(40,24,12)-
c(40,32,12)c(32,40,12)+s(16,48,20)t(24,24,20)+-
s(32,32,28)s(24,40,12)-t(40,32,20)-t(40,48,20)+
t(48,48,12)t(32,16,12)s(48,24,20)+s(40,32,20)*+
s(16,24,20)s(48,24,20)s(32,32,28)*+s(40,24,28)*
t(24,40,12)c(32,32,12)+s(8,48,12)+s(8,40,12)-
s(40,32,12)c(40,40,20)c(48,32,12)s(48,16,20)+*+
c(24,40,20)s(24,32,20)s(32,32,12)s(32,40,12)+--
t(40,32,20)t(24,48,28)s(16,48,20)s(40,40,28)---
t(40,48,20)c(24,32,20)s(32,48,12)-+t(24,48,28)*
s(16,32,20)t(40,32,12)t(24,24,20)+-c(16,40,12)+
s(32,40,28)s(40,40,28)s(40,48,20)s(40,32,20)+*-
s(16,48,12)s(32,40,20)t(24,48,28)*t(24,16,12)++
s(40,24,20)s(32,48,20)+c(32,40,20)s(48,32,20)-*
s(40,32,28)c(48,32,12)-s(24,16,20)t(32,40,28)+*
c(24,32,20)s(32,40,20)-s(40,16,20)+s(32,32,28)*
c(32,32,20)s(48,32,12)s(24,32,20)+s(40,32,28)**
t(24,32,12)s(32,48,20)t(32,24,20)s(24,40,28)+*+
t(24,56,12)s(16,16,20)+s(24,24,28)s(24,40,12)-*
t(32,40,28)s(32,24,20)c(32,32,20)s(40,24,28)**-
s(48,16,20)s(24,24,20)t(48,56,12)s(32,40,20)+--
s(40,16,20)s(48,24,20)s(24,16,20)-+c(32,24,12)-
s(24,48,20)c(16,32,12)t(24,32,20)+s(16,32,20)+-
c(32,40,20)s(24,40,20)+t(24,48,28)*t(32,48,20)*
s(24,24,28)t(32,40,28)c(40,24,20)t(40,48,12)+**
s(40,40,28)t(32,40,28)*t(40,24,12)-c(24,40,12)-
t(48,56,12)c(24,48,12)+s(40,32,20)t(24,32,12)--
s(32,8,12)t(32,40,20)+s(32,24,28)+s(48,40,20)*
s(16,32,12)s(16,48,20)+c(24,24,12)-c(16,48,12)-
t(24,48,28)t(32,40,28)s(40,40,12)t(40,48,20)+*+
s(24,32,28)s(8,24,12)-s(24,32,20)s(32,16,12)-*
c(48,24,12)c(32,32,28)s(32,40,28)-s(40,40,12)++
c(40,24,20)s(32,32,20)t(16,32,12)-*c(48,40,12)-
c(40,16,12)t(24,40,12)+s(32,24,28)s(32,40,12)-*
c(40,32,20)s(40,32,20)s(48,8,12)c(40,40,20)+*-
s(24,40,28)s(48,16,20)t(24,32,20)+s(32,32,20)**
s(32,24,20)c(32,32,12)t(16,24,12)+s(32,48,12)-*
s(8,48,12)s(32,16,20)+c(24,24,20)t(24,48,20)+*
t(40,32,20)s(40,32,28)s(40,40,20)s(24,40,12)+**
t(24,48,20)s(24,24,28)s(16,16,20)s(16,24,20)*-+
s(16,24,12)s(32,32,12)c(32,40,12)++s(40,40,20)*
c(24,40,20)t(32,56,12)-s(40,48,12)+s(8,48,12)-
s(40,40,28)t(48,48,12)-t(32,40,28)c(24,48,12)-*
t(24,40,28)c(48,48,12)+s(24,32,12)-t(24,32,28)*
c(40,24,20)s(24,40,28)s(48,40,12)c(40,24,12)+-+
c(40,32,20)c(40,40,20)*t(24,48,12)s(48,40,20)+*
t(48,40,12)s(16,32,20)+s(40,24,28)*c(16,48,12)+
t(32,32,28)c(24,40,20)+s(16,40,20)*s(32,40,20)*
c(32,48,12)s(32,48,20)s(48,16,20)+t(24,40,20)-+
s(24,48,20)s(24,32,28)t(48,40,12)+t(16,24,12)-*
s(32,40,28)c(24,40,12)-t(48,56,12)-t(32,56,12)-
s(48,32,20)s(40,24,20)c(32,40,20)*+c(32,48,12)+
c(32,24,20)s(24,48,12)+c(32,40,20)*c(16,32,12)-
s(40,24,20)c(32,32,20)c(40,16,12)-s(40,48,12)-+
t(32,48,28)s(8,48,12)s(40,40,20)s(32,40,20)*+-
s(32,40,28)c(24,40,20)*c(24,32,20)c(16,40,12)-*
s(48,24,20)s(40,24,20)c(32,24,20)c(32,32,20)**-
s(48,40,20)s(40,32,12)-t(32,40,28)t(24,40,20)*+
s(32,32,28)t(24,40,12)s(24,24,28)t(32,40,28)-+-
c(40,40,20)t(40,40,20)c(48,24,12)+*c(48,48,12)-
s(24,16,20)t(40,32,20)s(40,32,12)t(16,56,12)++-
c(32,32,20)s(24,16,20)+t(40,48,20)-s(40,24,28)+
c(32,32,28)s(8,48,12)s(24,24,28)+*s(24,16,20)*
s(40,24,28)c(24,40,12)-c(40,32,20)*s(40,24,20)*
s(32,16,20)s(16,40,20)+c(16,32,12)t(32,56,12)++
t(24,32,28)t(32,32,28)t(32,40,20)s(24,8,12)+*-
t(32,24,20)t(32,32,28)t(40,40,20)-*s(40,48,20)+
t(24,32,28)s(24,32,28)s(32,32,20)--s(40,32,20)*
s(40,8,12)c(24,24,20)t(24,40,28)*s(32,48,12)-+
s(48,24,20)t(48,40,12)+c(24,24,20)-c(32,24,12)+
s(40,32,28)c(32,32,20)t(40,40,12)-s(48,16,20)--
c(24,24,20)s(48,24,20)s(48,40,20)*-t(24,32,12)-
t(48,24,12)s(40,40,20)+s(48,16,12)+t(40,56,12)+
s(48,40,12)s(24,40,28)s(32,48,20)+c(32,32,20)*+
s(40,32,28)s(32,24,28)c(32,16,12)-c(24,40,12)+*
s(24,24,28)s(24,8,12)s(32,8,12)t(16,24,12)++-
c(32,16,12)t(24,24,20)s(48,32,20)s(48,16,12)--+
s(32,24,28)s(24,40,28)*c(16,40,12)+s(8,40,12)-
c(32,40,20)s(40,48,20)*t(24,40,20)+t(40,32,20)-
s(24,24,28)s(32,40,12)s(8,32,12)+-s(24,24,12)-
c(40,40,20)s(32,40,20)c(24,24,20)s(16,24,20)++*
c(40,40,20)s(40,32,20)-s(32,24,20)t(32,40,28)-+
t(32,32,28)s(40,40,20)*s(24,24,28)c(24,32,20)*+
t(32,32,28)c(48,24,12)-s(48,40,12)-c(32,32,20)*
s(40,40,20)c(32,32,12)+t(40,24,12)-s(40,40,12)-
t(40,32,20)c(24,16,12)+t(24,48,28)-s(40,48,20)-
s(40,40,20)s(40,24,28)s(32,24,12)-s(32,8,12)-*
s(32,40,28)t(32,24,12)-c(24,32,20)s(40,32,20)+*
t(32,32,28)s(40,48,20)s(32,16,20)+c(24,24,20)**
s(40,32,20)s(24,40,20)s(32,24,28)*-t(24,40,12)+
s(32,32,28)c(24,32,20)s(24,24,28)**t(40,40,12)-
s(24,32,28)s(32,40,28)c(40,32,12)-*s(24,24,28)+
s(48,24,20)s(24,40,20)+t(48,16,12)-s(24,24,20)-
s(24,40,28)t(32,32,20)s(32,16,20)+*t(32,40,28)+
t(32,40,28)t(24,48,28)+s(40,32,20)*c(24,32,20)*
t(32,48,20)c(40,32,12)+s(8,8,12)+c(40,40,20)*
t(24,48,28)s(32,48,20)s(32,32,20)t(32,40,20)*-*
t(32,56,12)s(48,16,12)+s(40,32,28)s(24,24,28)*-
s(32,40,20)c(40,40,20)t(40,16,12)t(32,24,20)++*
t(48,56,12)t(16,48,12)t(24,24,20)++s(24,40,28)*
t(32,48,28)s(40,32,12)+c(24,24,20)+s(40,24,28)+
t(24,40,12)c(48,24,12)+s(24,40,20)+t(24,40,28)*
s(32,24,20)t(40,24,12)s(24,48,20)+s(24,32,28)*-
s(40,16,12)c(16,16,12)+s(32,16,20)c(40,32,20)+*
c(32,24,20)s(32,32,28)c(16,16,12)+*s(40,40,28)-
s(40,32,20)s(16,40,20)-s(40,24,28)s(16,24,20)-*
s(32,24,28)s(32,24,12)-t(40,32,20)-s(8,24,12)-
s(24,40,28)s(24,40,28)s(40,32,28)*t(48,48,12)+*
s(24,40,20)s(24,24,28)t(40,32,12)t(48,16,12)+-*
s(32,24,28)s(40,32,28)s(16,32,20)-s(48,40,20)*-
s(40,40,28)s(40,24,12)t(16,24,12)+c(48,48,12)+*
c(48,32,12)t(24,48,12)s(24,24,12)+c(32,32,20)*+
t(24,48,12)s(48,32,20)s(24,40,20)-t(40,48,20)-+
c(24,40,20)t(32,48,20)*c(32,32,28)s(24,48,20)**
s(40,48,20)t(40,40,20)t(32,32,20)+c(40,48,12)+*
s(16,40,20)t(24,56,12)t(32,32,28)s(24,40,12)-+-
s(32,24,28)t(24,40,20)-t(40,24,20)s(16,40,20)--
c(48,24,12)t(16,32,12)+s(24,40,28)s(48,40,20)-+
s(48,32,20)c(40,32,20)*s(32,32,28)*s(32,16,12)-
c(32,32,20)t(24,48,20)+s(48,32,12)-s(48,24,12)+
c(32,40,20)t(24,48,28)s(24,48,20)*-c(24,24,12)+
s(40,48,20)s(32,48,20)c(24,16,12)+c(24,40,20)*-
c(40,48,12)t(32,32,28)s(16,16,20)-+t(16,40,12)-
t(24,40,20)s(16,32,20)+c(40,48,12)s(32,16,20)++
s(40,24,28)t(32,32,12)c(24,32,12)+s(40,16,20)+*
t(32,24,20)t(32,56,12)c(16,40,12)++s(32,24,28)-
s(24,32,28)t(40,40,20)t(32,24,12)+-c(24,24,20)*
t(32,40,28)s(24,48,20)s(24,32,20)*t(24,40,20)+*
c(40,32,20)s(40,40,28)c(32,32,20)**t(24,40,12)-
s(48,48,20)t(24,32,20)s(16,32,20)*+s(40,40,20)*
s(32,32,12)s(8,8,12)+s(24,32,12)t(16,48,12)+-
c(16,16,12)s(32,24,20)+t(32,48,28)+c(40,40,20)*
t(24,40,20)s(24,40,20)s(40,24,20)t(24,24,12)+-*
c(32,24,20)t(24,32,20)s(24,40,20)s(24,24,12)-+*
s(24,48,20)t(32,56,12)-c(48,40,12)+s(16,48,20)-
s(24,48,20)s(32,48,20)s(40,40,20)c(24,40,12)-+*
s(32,40,28)s(16,16,20)-t(32,56,12)c(24,24,20)+*
s(16,48,20)s(24,32,28)s(32,32,20)-s(32,16,12)++
c(32,48,12)s(40,48,20)s(40,40,28)c(32,40,12)-*+
s(32,40,28)c(16,24,12)+t(24,24,12)c(48,24,12)+*
c(24,40,20)t(24,16,12)c(24,40,20)t(32,40,28)*+*
s(32,48,12)c(48,32,12)+t(40,24,20)+c(24,24,20)-
t(24,32,28)s(48,48,20)s(16,16,20)+s(8,16,12)-*
s(16,48,20)s(24,40,28)*s(24,40,12)t(48,16,12)++
c(32,32,12)s(24,16,20)+c(32,32,28)s(32,16,12)--
s(32,24,28)c(24,24,20)s(40,40,12)+*t(24,40,28)*
t(48,48,12)c(16,24,12)s(40,32,20)++s(8,24,12)-
t(24,40,28)t(40,24,20)s(16,40,20)+*c(32,40,20)*
s(40,40,28)t(32,48,28)-s(16,16,20)-s(48,24,20)*
c(40,24,20)s(32,16,20)s(16,40,12)+t(32,48,28)+*
c(24,24,20)s(24,40,12)s(48,24,20)+s(48,40,20)*+
t(32,40,28)s(32,32,28)+c(32,40,20)c(24,24,20)*-
t(48,24,12)s(40,40,20)t(16,24,12)+c(40,24,20)-+
s(32,24,28)s(40,24,28)+t(40,32,12)-t(24,16,12)-
s(24,40,28)s(40,40,28)+t(32,32,20)c(40,24,12)+*
t(48,48,12)t(48,24,12)s(16,40,12)++c(16,40,12)+
t(16,40,12)t(32,40,28)+t(24,32,20)*s(32,40,12)+
s(32,32,28)s(40,24,28)s(16,32,12)+s(48,40,12)-*
s(32,40,20)c(24,24,20)+s(40,48,20)s(32,48,20)**
s(48,48,20)s(40,32,20)s(32,16,12)--t(48,48,12)-
c(32,32,20)s(8,48,12)+c(40,24,20)*s(24,40,28)*
s(40,40,20)t(32,56,12)+t(24,40,28)s(48,32,12)+*
c(16,40,12)s(32,24,20)s(32,8,12)+t(24,32,20)-+
c(24,40,20)s(32,40,12)-c(32,24,12)-s(32,32,12)+
s(40,24,28)c(40,40,20)s(40,40,12)--c(24,32,12)-
t(24,48,28)c(32,40,20)c(48,48,12)+s(32,24,20)*+
s(32,48,20)t(48,48,12)+t(32,40,28)+s(24,48,20)*
s(16,32,20)s(32,40,28)s(24,16,12)+t(24,40,28)**
s(16,24,20)t(24,56,12)s(32,40,20)s(48,8,12)+++
c(40,40,20)s(40,24,28)t(24,40,20)s(32,16,12)+-*
s(32,24,28)s(16,32,20)c(32,32,28)s(16,16,20)---
s(48,16,20)s(40,48,20)+c(32,40,12)c(40,24,20)+*
s(8,8,12)s(32,32,20)s(40,16,20)-+c(40,40,12)+
s(24,40,12)s(24,8,12)+s(24,24,28)t(40,32,12)-*
s(24,24,28)c(32,24,12)c(16,40,12)+s(40,40,28)*-
s(16,32,20)c(32,24,20)+s(24,40,28)t(32,40,28)-*
s(32,48,20)t(24,32,28)c(24,16,12)-s(32,24,28)*-
c(48,48,12)c(32,24,12)s(32,32,28)s(32,16,20)*++
s(32,24,28)s(24,32,28)s(32,40,20)*t(24,24,12)+*
c(32,24,20)c(24,24,20)c(40,40,20)t(24,40,12)---
c(32,40,12)s(32,24,28)s(32,16,12)-+t(32,40,28)*
t(24,48,28)s(24,24,28)t(24,56,12)+*s(8,16,12)+
t(16,56,12)c(48,48,12)t(16,48,12)+s(16,48,20)-+
t(48,40,12)s(16,24,20)+c(16,24,12)-s(24,40,12)-
c(24,24,20)s(32,32,28)*s(24,16,20)+s(40,24,12)-
c(24,40,20)c(24,32,20)s(40,16,20)-s(24,24,28)**
s(40,24,28)s(32,32,28)*c(24,24,12)+t(24,24,20)*
c(32,16,12)s(24,40,20)+t(24,24,12)-t(24,48,28)*
s(32,40,28)s(32,32,28)*s(24,32,20)*s(24,16,12)+
t(32,40,20)s(24,24,28)c(32,24,20)*t(24,48,20)+*
s(48,32,20)c(32,32,12)+s(24,32,20)*s(16,24,20)+
s(48,32,12)t(32,48,20)c(32,24,20)+s(40,48,20)*+
s(48,32,20)c(48,40,12)s(8,24,12)t(40,32,12)++*
c(32,32,28)t(48,48,12)s(32,8,12)+-t(40,24,20)*
s(32,24,28)c(24,48,12)+s(32,32,20)t(40,24,20)+-
s(16,16,20)s(32,32,28)s(8,8,12)+c(48,40,12)-+
s(16,16,20)s(32,16,20)s(40,24,28)c(24,16,12)-+*
c(24,24,20)s(16,24,20)-s(48,32,12)t(32,48,20)++
s(40,16,20)s(24,32,28)c(48,32,12)+t(24,48,28)++
s(24,24,28)s(48,40,20)c(40,32,20)s(16,24,20)-*-
s(24,48,12)s(40,24,28)t(24,32,12)-s(32,24,12)-+
c(16,40,12)s(32,48,20)s(24,32,12)s(8,40,12)+-+
s(40,40,20)s(32,40,20)s(40,40,28)c(48,40,12)-**
c(40,40,20)t(24,32,28)t(40,56,12)+-s(8,16,12)+
c(32,40,20)s(32,24,12)s(32,40,20)t(32,48,12)-+*
t(24,40,12)t(40,16,12)t(24,24,20)++s(24,32,20)*
s(16,48,20)t(24,48,20)s(32,40,20)+c(32,24,20)--
t(24,40,28)s(48,40,20)-s(24,40,20)*s(16,32,12)-
s(24,48,20)t(32,40,12)t(32,24,20)+c(40,40,12)--
c(32,32,20)t(24,24,20)s(32,24,28)s(24,32,20)**-
c(24,32,20)c(40,40,20)c(40,32,20)t(32,40,28)***
t(32,48,28)s(32,40,20)s(24,40,20)*s(32,8,12)+*
s(24,24,20)s(16,32,20)s(48,32,20)+*s(48,48,20)+
s(24,24,28)s(40,32,12)s(24,40,20)t(24,40,28)*+*
t(40,48,20)s(32,8,12)c(24,24,20)+s(32,8,12)--
c(32,32,28)s(16,40,20)-t(32,40,28)c(40,24,20)*-
s(32,40,20)t(24,32,28)s(16,40,20)s(48,24,20)+*-
s(8,16,12)c(32,24,20)t(24,40,28)t(32,48,28)-++
t(24,48,28)c(32,32,12)-t(40,40,20)s(24,24,28)+-
c(32,32,28)c(32,40,12)-s(16,32,20)-s(32,24,20)*
t(24,32,28)t(32,32,28)s(24,24,20)+s(32,24,20)**
c(48,16,12)c(32,32,20)+s(24,40,20)c(16,48,12)+-
s(32,24,20)c(24,16,12)s(24,40,20)+t(32,40,28)*+
s(32,24,28)t(32,40,20)-t(24,48,28)+c(16,24,12)-
c(40,24,20)s(8,32,12)c(32,32,20)s(40,40,20)*+*
t(24,48,20)s(40,40,12)s(40,32,12)+t(16,40,12)+-
s(48,32,20)s(32,32,20)+t(24,24,12)s(40,24,12)+*
s(40,24,20)s(40,24,28)s(32,8,12)-*c(32,32,12)-
s(24,40,28)c(32,32,20)s(16,24,20)-+s(24,24,28)*
s(40,40,28)s(32,24,28)s(40,32,20)**t(32,32,28)*
t(40,32,12)c(16,24,12)s(48,32,12)++s(16,32,20)-
c(24,32,20)t(32,48,12)-s(8,24,12)+s(32,40,20)*
s(40,24,20)s(24,40,20)s(40,40,28)*+t(40,32,20)*
c(24,40,20)t(16,40,12)-c(40,24,20)+s(16,24,20)+
t(24,32,28)t(16,48,12)+s(24,40,20)*t(32,32,28)*
c(32,32,20)s(40,24,20)-s(32,16,20)s(24,24,20)*-
c(40,32,20)c(32,24,20)+s(24,8,12)-t(32,48,28)-
c(16,16,12)s(24,40,28)s(24,24,20)*+s(40,32,20)-
c(40,32,20)s(48,32,12)s(32,40,20)+*s(24,24,28)*
t(24,24,20)s(40,40,12)+s(40,24,28)*t(24,40,20)+
s(16,48,20)s(8,24,12)s(40,32,20)+s(32,24,12)-+
s(32,24,28)t(24,32,28)*s(48,24,20)-t(24,32,20)*
t(32,48,28)s(24,24,20)s(48,16,12)+-s(24,48,20)*
s(48,48,12)s(24,40,28)+s(24,24,28)*s(24,40,20)*
t(24,40,28)t(24,32,28)t(24,40,20)-t(24,40,20)+*
s(16,40,20)t(24,24,20)c(32,32,20)*-s(24,32,28)*
s(24,24,20)s(24,40,28)s(8,16,12)s(8,24,12)+-*
s(32,16,20)s(40,40,20)-c(16,16,12)s(48,16,20)+*
s(32,32,12)s(48,24,20)+s(16,40,20)-c(40,32,20)*
s(40,24,28)t(48,40,12)s(32,24,28)s(24,16,20)*+*
s(40,32,28)s(16,40,20)t(32,40,28)*c(48,24,12)+-
s(40,24,28)s(24,40,12)-c(32,24,20)t(32,48,28)+*
c(32,32,28)c(16,48,12)-s(40,40,28)*s(48,48,20)-
s(24,24,28)s(32,24,12)-c(16,48,12)+c(24,32,20)*
c(24,32,20)s(32,40,20)t(32,24,12)-*s(16,40,20)+
t(24,24,20)s(8,40,12)t(40,40,20)+c(24,32,12)-+
s(48,40,20)t(40,24,20)-s(24,32,20)c(40,32,20)*-
s(16,32,20)s(16,40,12)c(16,16,12)+*t(24,32,20)+
s(32,8,12)s(40,32,28)t(16,56,12)+c(32,16,12)-+
s(24,48,12)t(24,32,28)c(32,32,20)t(32,40,28)+*+
t(32,40,28)t(24,48,20)c(32,40,20)*-s(40,48,12)-
s(48,24,20)s(40,8,12)-s(40,24,20)c(40,32,20)+*
s(24,40,28)s(32,48,20)t(32,40,28)s(40,24,20)-*-
t(32,32,28)c(40,40,20)*c(24,32,20)s(16,24,20)*-
t(40,32,20)s(24,48,20)+c(40,40,20)s(40,48,20)**
c(32,32,20)t(40,24,12)-t(32,16,12)-s(32,48,20)*
t(32,24,20)s(32,32,20)t(24,48,28)s(48,32,12)++*
t(24,48,20)s(8,24,12)+t(48,16,12)+c(40,16,12)+
c(32,24,20)s(32,16,20)*s(48,8,12)-c(48,32,12)-
c(32,40,20)c(32,48,12)c(32,24,12)+s(40,40,12)-*
t(40,24,20)c(48,40,12)s(16,48,20)s(40,48,12)+++
s(40,40,20)s(24,40,28)*s(16,40,12)s(40,24,12)+-
s(48,8,12)s(24,24,28)t(32,24,12)-+c(24,16,12)-
c(32,24,20)s(24,32,20)s(16,32,20)s(16,24,20)*-+
s(16,48,20)s(48,24,20)+s(32,32,20)-s(32,40,28)*
s(40,24,20)s(40,32,28)c(24,16,12)s(40,40,12)+*-
s(32,32,28)c(32,24,20)s(48,40,20)t(32,40,12)--*
s(24,32,20)c(32,32,20)t(24,32,28)+s(40,32,28)*+
s(24,24,20)s(32,48,20)s(32,32,28)*s(24,32,12)+-
c(40,40,12)t(32,16,12)t(40,16,12)++c(40,24,20)*
s(24,48,20)t(32,48,28)*t(32,56,12)t(32,40,20)+*
c(24,32,20)s(24,48,20)s(32,40,28)*-t(24,16,12)-
s(40,24,12)t(32,32,28)s(48,24,20)-+t(24,48,28)*
c(32,32,20)s(48,40,12)-s(40,40,28)c(40,24,20)**
t(24,32,12)t(24,48,20)t(48,40,12)++c(40,32,20)*
c(48,40,12)s(24,32,20)t(24,24,20)*+s(48,32,20)*
s(24,48,20)c(48,32,12)t(24,40,28)+s(32,24,12)-*
t(32,40,28)t(40,40,20)s(48,16,20)--c(32,48,12)+
c(32,24,20)t(32,16,12)-t(16,32,12)t(24,48,20)+-
s(40,24,20)s(32,32,28)s(40,48,20)-*s(16,32,20)-
t(24,40,28)s(40,8,12)+t(32,32,20)s(24,32,20)*-
t(40,32,12)c(48,32,12)+s(24,32,20)s(24,48,20)*+
c(32,32,20)s(8,32,12)c(32,32,20)+c(24,24,20)**
t(40,16,12)t(32,32,28)+c(32,24,20)t(24,32,20)**
s(16,24,20)c(32,32,28)s(32,24,12)-*s(40,24,20)-
t(32,40,28)s(32,32,20)t(32,32,12)-s(16,48,12)+*
s(40,24,28)s(32,16,12)-s(32,24,28)s(40,40,20)*-
c(32,24,20)c(32,32,20)s(16,16,12)+c(40,40,20)-*
s(32,32,28)c(24,40,20)s(24,32,20)s(24,40,12)-*-
s(48,24,12)t(48,24,12)s(48,40,12)++t(32,40,20)+
s(24,40,28)s(40,32,20)t(40,40,12)-s(16,32,20)--
s(40,24,12)s(48,8,12)+c(40,32,20)t(32,48,28)*-
s(24,24,28)s(32,24,28)*c(24,40,20)s(40,40,28)+*
s(24,8,12)s(16,40,20)c(24,32,20)+s(32,32,20)*+
s(40,32,28)c(32,32,20)s(48,40,20)+s(32,48,20)*-
c(24,40,20)t(32,24,20)+s(32,32,20)s(32,16,12)-*
s(32,24,28)s(48,48,20)-s(32,32,28)c(24,40,20)*-
s(24,40,20)t(24,48,12)s(48,48,12)++t(16,56,12)+
s(48,48,20)s(24,16,12)c(48,32,12)+-t(32,48,28)*
s(16,40,20)s(24,32,20)s(40,32,20)-c(32,40,20)+*
c(32,32,28)s(24,48,20)*s(40,32,20)s(48,40,20)*-
c(40,24,20)c(24,32,20)c(32,24,20)*s(40,16,20)++
c(24,24,20)s(16,16,20)s(16,48,20)s(8,32,12)+--
s(32,16,20)s(8,24,12)+c(40,24,20)s(32,48,20)-*
t(40,48,12)t(24,48,28)+s(16,32,12)-s(16,48,20)*
s(32,32,28)s(24,24,28)c(24,40,12)-c(24,24,20)**
s(32,24,28)c(32,16,12)-c(32,24,20)*s(32,40,12)-
c(24,32,20)s(16,48,20)c(32,32,28)s(48,24,20)-*-
c(32,40,20)s(24,40,28)c(32,32,20)**c(48,32,12)-
t(40,24,20)s(24,32,28)s(8,16,12)-+s(32,24,28)*
t(32,32,28)t(48,56,12)+t(24,24,12)-s(48,40,20)*
s(40,24,28)t(48,40,12)c(40,24,12)t(16,56,12)++*
s(40,40,28)s(40,48,20)c(32,32,20)*-c(48,48,12)+
c(40,24,12)c(24,32,20)t(32,48,28)*+s(48,24,20)*
s(40,24,28)t(40,16,12)-s(32,32,20)c(24,24,20)+-
s(40,16,20)s(8,16,12)c(32,48,12)++s(48,40,20)-
t(24,32,28)c(32,32,28)s(16,16,20)-+s(24,40,28)*
s(16,48,20)s(40,40,20)s(32,24,12)--c(32,40,20)-
c(32,32,28)s(24,32,28)s(40,16,20)c(24,24,20)-+*
s(48,40,20)s(24,32,20)s(16,16,20)-c(16,48,12)+-
s(24,48,20)t(40,32,12)t(24,56,12)c(40,24,12)++-
c(32,32,20)s(32,32,28)s(40,48,20)**t(24,32,20)+
s(40,32,28)t(16,40,12)+s(40,48,20)s(32,24,20)--
s(24,24,28)c(24,32,20)*c(40,32,20)s(32,16,12)-*
s(40,32,28)c(32,24,12)-t(32,32,20)+s(24,48,20)-
t(16,16,12)c(40,32,12)+s(32,16,12)s(16,32,20)+-
c(40,32,20)s(16,24,20)s(48,48,20)+s(24,48,20)--
c(40,24,20)t(32,48,28)+s(24,32,28)*c(40,32,12)-
c(24,32,20)s(32,32,28)s(48,40,20)+*c(24,24,20)*
s(48,24,20)c(24,32,12)+t(24,32,20)+t(40,40,20)-
s(32,32,20)s(48,32,20)s(40,24,20)*s(16,48,20)+*
t(32,40,28)s(32,40,20)s(48,40,20)*s(48,48,12)++
c(24,40,20)c(40,48,12)s(24,40,12)+*s(16,48,12)-
c(40,32,20)c(40,24,20)c(32,24,20)**c(32,16,12)-
s(40,24,28)s(40,32,28)s(16,24,20)--c(40,16,12)-
t(48,16,12)t(32,48,20)+c(24,32,20)s(32,24,20)*-
s(32,48,20)t(32,32,28)s(24,48,20)+t(32,40,28)**
s(16,40,20)c(32,32,20)s(40,48,20)-s(16,40,12)+*
t(32,40,28)c(32,24,20)c(48,24,12)-c(32,40,20)**
s(16,40,20)s(40,40,28)t(32,24,12)-s(16,48,12)++
t(40,48,12)s(24,32,28)c(32,40,20)*+s(16,24,20)-
t(24,40,20)s(16,40,20)s(24,32,28)t(32,24,20)*+*
c(40,32,20)c(24,24,20)t(24,32,20)--t(24,24,12)-
c(24,40,20)t(24,40,28)s(48,32,20)-*s(16,48,20)*
s(16,16,20)c(32,24,12)s(32,48,20)t(16,16,12)+++
c(32,40,20)s(40,48,20)t(40,24,20)+*s(32,32,28)*
t(32,32,28)t(24,48,28)t(40,48,12)-c(32,32,28)*+
s(40,32,28)s(32,24,20)s(8,16,12)+*t(32,32,28)*
t(48,48,12)c(48,40,12)t(40,24,20)+t(40,40,20)-+
c(32,32,20)s(24,48,20)t(32,40,28)*-s(40,40,28)*
c(24,32,20)s(40,40,28)*s(24,40,28)c(40,40,20)**
s(40,32,28)t(32,32,28)s(48,32,20)s(16,48,20)++*
t(40,32,20)t(32,40,28)+t(32,40,28)t(24,32,28)*-
c(32,24,20)t(48,32,12)s(48,16,20)s(24,40,12)++*
s(32,32,28)c(48,24,12)s(24,24,28)+*s(40,40,28)-
c(32,40,20)t(24,24,12)s(24,48,12)+-s(32,48,20)+
s(24,32,20)s(40,40,28)s(32,48,20)c(48,48,12)+*-
s(32,48,20)s(40,8,12)+t(24,48,28)c(48,48,12)+*
s(32,32,20)c(32,16,12)+s(40,40,20)*c(48,40,12)+
s(24,32,28)t(32,40,28)s(24,40,12)-+c(32,24,20)-
c(40,24,12)c(40,40,20)s(32,40,28)*+t(40,24,20)*
c(32,40,20)s(48,48,12)c(40,32,20)s(40,40,20)*+-
s(16,40,20)s(24,16,20)-s(16,24,20)+t(24,32,28)-
c(24,40,20)c(32,16,12)t(40,48,12)++c(40,24,20)*
s(40,48,20)s(24,40,28)s(24,32,12)s(24,16,20)+-*
s(40,40,28)s(48,32,20)-t(32,56,12)-s(40,24,20)-
s(32,32,28)s(40,48,20)*t(24,48,28)c(32,32,28)*+
c(16,40,12)s(40,32,28)+c(24,40,12)s(32,24,20)+*
c(40,24,20)s(16,24,12)c(48,24,12)s(40,32,12)++*
s(32,24,20)s(40,40,20)+s(48,40,12)t(24,48,28)+*
t(32,24,20)s(40,32,28)s(32,24,28)**t(32,32,12)+
s(24,16,20)s(24,24,28)t(24,32,28)s(40,32,20)-*+
s(16,32,20)s(40,40,20)s(40,40,12)-+c(32,32,20)*
s(24,40,28)s(40,8,12)+s(24,32,28)+t(24,32,28)-
c(32,40,20)s(40,24,20)s(16,48,12)+*c(40,48,12)+
c(48,48,12)t(24,48,28)+s(32,16,20)c(48,48,12)+-
t(24,32,28)t(40,32,20)+c(16,24,12)-c(40,24,20)*
s(16,16,20)s(48,24,12)t(24,24,20)+s(32,40,28)*-
c(32,24,20)c(40,32,12)-t(32,40,20)t(48,48,12)++
s(40,24,20)t(24,32,28)c(24,24,20)+s(32,32,28)*+
t(32,40,28)s(24,32,12)s(16,48,20)s(24,40,28)*+*
s(24,24,28)t(32,40,28)-s(24,24,20)-t(40,32,20)-
s(32,24,28)s(48,32,20)s(24,40,28)+*t(32,32,28)*
s(24,32,20)s(16,32,12)s(24,24,20)c(16,24,12)-+*
c(48,40,12)s(16,16,12)+s(24,40,20)+t(24,40,12)-
c(48,40,12)t(48,56,12)+s(32,32,20)s(24,24,20)++
t(16,48,12)s(32,48,20)+s(32,32,12)s(24,32,12)+-
s(32,24,20)c(16,16,12)-c(24,24,20)s(32,40,20)-+
t(32,40,12)t(16,24,12)s(48,16,20)++t(40,32,20)+
s(40,32,28)c(40,24,20)*c(48,24,12)c(32,48,12)+*
c(32,40,20)c(24,32,20)s(40,40,28)*c(40,40,12)--
s(24,40,28)s(8,8,12)+t(40,48,20)-t(24,48,28)*
s(40,40,28)c(24,40,20)c(24,24,12)-c(32,32,20)**
t(24,32,28)s(16,40,20)*s(16,16,20)+s(8,40,12)-
s(24,40,20)c(48,40,12)s(16,40,12)+c(40,32,12)--
s(24,32,12)t(40,32,12)+c(16,40,12)+s(40,40,28)*
c(32,32,20)c(40,32,12)t(24,48,28)t(24,40,20)-+*
s(8,16,12)s(40,40,28)t(40,32,20)s(24,32,20)+*+
s(32,40,28)t(24,48,28)*t(40,16,12)c(24,40,12)+-
s(40,40,20)s(32,24,28)s(16,16,12)-c(24,40,12)--
s(24,32,20)s(24,24,12)t(16,56,12)+-s(48,8,12)+
s(32,40,28)t(16,16,12)+c(40,32,12)-s(40,48,20)*
t(16,16,12)t(24,48,28)t(16,24,12)++s(24,16,12)-
s(16,40,20)s(24,32,28)t(32,24,12)-*c(32,32,20)+
s(24,32,28)s(48,32,20)s(24,16,20)+c(24,24,12)-*
s(16,32,12)s(32,40,28)s(48,24,20)c(40,32,20)+*+
c(40,32,20)c(24,24,20)c(16,32,12)--s(16,32,20)-
s(32,32,28)s(24,40,28)*t(24,48,12)s(48,16,12)+-
t(40,48,20)s(16,48,20)s(16,32,12)-c(32,40,20)+*
s(16,40,12)s(48,32,20)+c(40,40,12)+c(32,32,20)*
s(32,16,20)t(24,40,20)+c(24,24,20)c(24,40,20)**
s(8,16,12)s(40,32,20)+s(16,32,20)t(24,24,20)-+
s(40,40,20)c(32,48,12)-t(40,16,12)+s(32,40,28)*
s(24,16,20)s(32,8,12)c(40,32,20)+s(40,24,28)*+
t(40,32,12)t(40,56,12)+s(32,40,28)s(40,24,28)*+
s(16,40,20)t(24,40,28)t(24,32,12)-s(40,48,12)-+
s(32,24,28)t(32,48,12)t(40,24,12)+-s(24,32,12)-
c(40,32,20)s(32,48,12)+s(16,32,20)t(40,40,12)+-
c(40,32,20)t(32,48,28)s(32,32,28)*-s(48,24,20)+
t(32,48,28)t(32,40,28)*t(32,16,12)s(32,32,20)++
c(24,40,20)c(40,24,20)+t(24,48,12)-s(8,24,12)+
s(40,40,28)s(48,16,12)s(40,48,20)t(40,40,20)-+*
s(40,32,20)s(24,40,20)-t(32,40,20)t(32,32,28)*-
s(32,32,20)s(16,24,12)+s(24,40,28)*t(24,40,28)+
c(40,40,20)s(40,32,28)*s(16,24,20)-s(32,32,12)-
c(32,40,20)s(40,32,20)c(32,32,20)**c(32,48,12)+
c(40,16,12)t(16,32,12)s(40,24,20)+s(24,40,28)*+
c(32,40,20)c(40,32,12)-s(48,24,20)+s(32,24,28)*
c(16,48,12)t(24,32,20)+s(40,32,12)+s(32,48,20)*
s(48,24,20)s(40,32,12)t(24,40,28)+s(8,32,12)+-
s(16,8,12)s(16,32,20)+s(24,32,20)*t(16,48,12)-
c(24,24,20)s(24,40,28)s(32,32,20)t(16,48,12)+*-
s(32,32,20)s(40,32,20)s(48,24,20)*t(32,48,20)+*
s(32,40,28)s(48,24,12)-s(24,48,20)*s(40,32,20)-
s(32,32,28)s(16,8,12)s(32,40,28)t(40,32,20)*+*
s(24,48,20)s(40,32,28)c(32,24,20)t(24,40,28)*-+
s(32,48,20)s(32,40,20)*s(32,32,20)+s(32,24,20)-
c(40,24,20)s(32,16,20)*s(32,32,28)s(40,16,20)*+
s(8,8,12)s(40,16,20)+t(48,56,12)s(24,16,20)+*
c(32,24,20)t(40,16,12)-s(24,32,20)+t(16,16,12)-
t(40,40,20)s(24,48,20)s(16,8,12)++t(24,48,12)-
c(32,24,20)c(16,32,12)t(32,32,12)+s(32,16,12)+-
s(48,40,20)s(48,8,12)s(32,24,28)s(40,24,28)*+-
s(24,32,20)s(48,48,20)c(32,32,20)-+c(32,48,12)+
c(32,32,20)s(32,48,20)-s(32,48,20)t(32,32,12)-+
c(32,32,28)s(16,48,20)*c(32,40,20)*t(32,48,12)+
s(32,40,20)c(40,24,12)-t(24,24,20)t(32,48,28)--
c(32,32,28)c(24,40,20)-s(48,32,20)c(32,24,20)+*
t(24,48,28)t(40,32,12)+s(24,32,20)t(32,40,20)--
s(48,40,20)c(40,40,20)s(48,40,20)*s(40,24,12)+*
s(48,40,20)t(40,24,20)s(40,16,20)*-t(48,48,12)-
c(40,24,20)c(24,40,20)-s(32,24,28)c(16,32,12)-*
c(16,40,12)c(24,24,20)t(24,40,20)-t(16,56,12)++
s(40,32,20)t(24,48,28)s(16,48,12)-c(40,40,20)*-
s(48,48,12)c(24,32,20)+s(48,40,20)*s(40,16,20)-
c(32,40,20)s(32,40,12)-c(16,40,12)+c(32,32,20)*
s(16,24,20)t(32,40,20)+s(40,40,28)t(24,40,28)*-
s(24,32,20)s(32,24,20)*s(48,24,20)+s(32,40,20)*
s(24,24,28)c(32,24,12)c(32,32,28)c(40,24,12)-+*
s(32,24,20)t(24,48,28)s(32,32,20)+c(24,32,20)*+
s(48,48,20)s(40,40,28)c(40,24,20)*t(32,40,28)*-
s(32,40,28)t(40,48,20)c(24,48,12)--t(32,40,28)*
t(48,24,12)c(24,24,20)s(40,16,12)-t(24,56,12)++
s(24,40,12)t(48,16,12)+c(40,32,12)+s(32,40,20)*
c(48,48,12)s(24,8,12)c(40,40,12)+t(48,32,12)-+
c(32,24,12)t(24,40,20)s(32,40,20)*+c(40,24,20)+
s(24,40,20)c(32,32,28)t(24,40,20)-s(32,24,28)--
s(40,24,20)t(32,32,20)c(24,24,20)*t(16,24,12)+-
s(40,24,12)s(24,40,20)t(16,40,12)-+s(48,16,12)-
t(24,40,20)c(32,24,12)t(24,32,20)+s(24,24,12)-+
c(32,40,12)t(40,32,20)+s(32,16,20)t(24,24,20)-+
t(24,40,28)c(40,40,20)+t(32,24,20)-s(24,40,20)*
c(32,24,20)s(32,40,28)c(24,24,20)--c(24,32,20)*
t(48,48,12)s(24,40,20)t(32,48,28)*+s(40,16,20)+
c(24,24,20)t(40,56,12)+s(24,40,12)s(32,16,12)+-
s(32,40,28)s(24,48,12)-c(32,16,12)-t(24,32,28)*
c(40,24,20)t(40,32,20)s(32,24,20)+*c(40,32,20)+
s(8,8,12)s(40,40,20)s(24,40,12)+s(40,24,28)-+
t(24,48,28)s(48,16,20)c(48,24,12)-+s(24,32,20)*
s(32,48,20)c(16,40,12)-c(32,32,28)s(16,48,20)*+
t(32,48,20)t(32,40,28)s(40,48,20)t(32,48,28)**+
s(24,24,28)c(32,32,20)s(40,32,28)**s(32,16,20)*
c(24,24,20)t(40,32,20)c(48,24,12)+-s(32,32,28)+
t(40,48,20)c(24,32,20)c(24,48,12)-c(32,40,20)*-
c(24,32,20)s(40,40,20)-s(40,32,12)+s(32,24,28)*
s(32,24,28)s(24,32,12)-s(48,32,20)c(32,40,12)--
c(32,32,20)t(16,48,12)c(40,32,20)++s(40,24,28)*
s(16,40,20)s(32,40,20)s(32,32,28)t(24,40,28)*+*
s(40,32,28)s(32,32,28)c(40,32,20)*t(40,48,20)--
c(40,24,20)s(24,24,28)*c(24,40,20)c(32,32,20)+*
c(32,32,28)c(48,24,12)c(16,16,12)+s(32,40,20)+-
c(24,32,20)s(32,24,20)c(40,40,12)-s(16,32,12)--
c(32,24,20)s(16,40,20)s(32,24,28)+s(32,48,20)-*
s(24,40,28)c(40,32,20)s(48,48,20)c(32,32,20)+**
s(24,40,12)c(24,48,12)s(8,24,12)++c(40,24,20)-
t(24,24,12)s(48,32,12)+s(24,16,20)+s(48,24,20)*
t(16,40,12)s(40,32,20)+s(16,16,20)s(16,24,20)++
c(24,32,20)s(40,32,20)-s(24,32,28)s(24,24,28)**
c(32,48,12)s(24,32,20)+c(16,40,12)t(32,32,28)+*
s(16,16,20)s(24,24,20)+s(32,40,28)*t(24,40,12)+
c(48,16,12)s(24,24,20)+c(40,24,12)-t(32,40,12)+
s(24,40,28)s(40,40,12)-t(24,32,28)*c(32,32,20)*
c(24,24,20)t(32,40,28)t(24,48,20)-+c(32,16,12)-
t(32,40,20)s(24,8,12)t(24,24,20)+s(24,40,28)*+
s(48,40,20)s(16,40,20)c(16,16,12)++c(40,24,20)-
s(24,24,28)s(24,16,20)t(40,40,20)+*s(40,32,20)*
s(32,32,20)s(24,40,20)s(40,32,28)t(32,32,28)--*
t(32,48,28)c(32,40,20)s(40,40,28)*s(24,40,20)**
t(32,48,20)s(48,16,12)+t(40,40,20)-s(48,32,12)+
c(32,24,20)t(32,32,28)t(32,48,20)-*c(24,32,20)*
t(48,48,12)t(32,32,20)t(32,16,12)-t(16,48,12)++
s(40,32,28)s(40,24,12)-s(32,24,20)*s(40,32,12)+
s(32,16,12)s(48,24,12)+s(24,40,12)t(48,32,12)+-
c(48,24,12)t(40,24,12)c(32,16,12)+s(8,40,12)++
t(32,24,20)s(32,48,20)-c(32,40,12)-t(16,16,12)+
s(24,32,12)s(40,24,20)+s(32,24,28)s(48,32,20)-*
c(32,32,20)s(40,32,28)t(32,32,12)-*s(40,16,20)+
s(16,32,20)s(40,16,20)+t(32,32,28)t(32,40,28)**
t(24,32,20)s(32,32,20)c(40,40,20)t(24,24,20)-*+
s(48,40,12)t(32,32,20)s(24,32,28)s(24,40,28)**+
s(48,32,20)s(32,40,12)+c(32,32,28)s(24,32,12)-+
s(16,24,20)s(40,8,12)+s(32,16,20)s(40,32,20)-*
c(40,40,20)s(32,40,20)*c(48,16,12)+s(40,32,20)*
t(24,32,28)s(24,16,20)s(48,48,20)+*t(24,40,20)-
s(24,32,28)c(32,32,20)*s(40,16,20)s(40,32,28)*+
s(48,40,20)s(16,16,20)s(48,8,12)+c(48,24,12)+-
c(40,32,20)s(40,40,12)-s(40,24,28)t(32,32,28)*-
s(24,40,20)t(32,48,28)*s(16,32,20)+t(32,24,20)-
s(32,32,20)t(24,32,28)s(16,40,20)t(40,48,20)+**
s(24,32,20)s(16,32,20)+c(32,24,20)*t(40,24,20)-
c(24,40,20)s(16,40,20)*s(16,32,12)s(32,32,20)+*
c(40,48,12)s(24,32,28)+s(40,48,20)s(8,8,12)+*
s(16,32,20)t(24,32,28)*s(32,40,20)t(24,32,12)--
t(32,48,28)s(32,40,28)s(16,16,20)t(24,24,20)+-*
c(32,32,28)c(40,24,12)-c(24,40,20)c(40,40,20)-*
c(16,40,12)t(32,32,28)s(16,32,12)-s(16,24,20)-+
s(16,48,20)t(40,48,20)+c(16,16,12)t(24,40,20)+*
s(48,32,20)s(40,16,20)+s(32,8,12)-c(32,24,12)+
c(24,24,20)s(32,24,20)c(24,40,20)+*s(32,40,20)*
s(16,32,20)t(24,32,20)+c(24,40,20)s(16,40,20)**
c(24,24,20)t(48,48,12)s(32,40,28)t(32,32,28)*+*
s(48,48,20)t(24,48,20)t(32,40,28)+t(24,48,28)*-
t(32,40,28)s(32,24,28)*s(48,16,20)s(16,32,12)++
c(32,24,20)s(40,48,20)+c(24,24,12)-t(48,24,12)-
c(24,24,20)s(16,32,20)t(24,24,12)-+t(32,32,20)*
t(24,48,28)s(24,16,20)c(32,32,28)*+s(48,40,20)+
s(24,40,20)s(32,32,28)s(48,16,20)-c(40,48,12)+*
s(40,40,20)t(24,24,20)-s(32,40,12)+s(24,24,20)+
t(24,32,28)c(24,40,20)c(32,24,20)+s(40,40,28)**
s(16,24,20)s(48,16,20)t(24,56,12)+s(32,24,28)-+
t(32,48,20)s(32,40,20)s(32,32,28)c(24,40,20)*+*
s(40,48,20)c(32,32,12)-t(16,24,12)+c(48,48,12)-
s(24,48,12)c(24,24,20)t(24,24,12)-+t(24,40,12)-
s(40,32,28)c(32,40,20)s(16,8,12)+*s(24,24,28)*
s(48,16,20)s(24,40,28)s(32,16,20)-c(32,24,20)-+
s(16,48,20)s(24,40,28)*s(24,24,20)+c(24,40,20)*
c(48,24,12)s(40,32,20)t(16,32,12)s(32,32,20)+*+
t(24,24,20)t(32,40,28)+c(40,40,20)*c(40,32,12)+
s(24,48,20)s(40,32,28)s(24,32,20)--s(40,32,20)-
s(48,40,20)t(24,48,28)s(40,48,20)c(40,24,20)+*-
c(40,32,20)t(32,32,28)*c(40,24,20)*s(24,24,12)-
s(48,24,20)s(24,32,28)t(32,32,28)*-s(8,16,12)+
t(40,16,12)t(32,24,20)+s(32,32,28)t(32,16,12)-*
s(40,24,28)s(24,24,12)-t(24,40,28)-s(48,24,12)-
s(40,16,20)s(24,16,20)t(24,40,12)++c(40,32,20)*
s(32,32,28)s(16,48,20)s(32,40,28)s(40,32,20)-*-
s(32,32,28)t(40,32,12)c(24,48,12)+s(32,40,20)*-
s(16,40,12)c(40,24,20)s(40,32,28)s(32,32,28)**+
t(24,32,28)c(32,32,28)s(24,40,12)-c(40,40,12)--
t(16,40,12)c(32,32,20)s(40,40,28)s(40,32,12)-*+
s(32,24,20)t(32,48,28)c(32,40,20)*s(16,16,12)++
c(32,24,20)s(40,8,12)-s(24,24,28)t(24,32,20)-+
s(48,24,20)t(24,32,28)+t(32,32,12)-t(24,24,20)*
s(16,32,20)s(40,24,28)s(16,24,20)s(16,32,12)--+
s(32,48,20)s(24,48,20)*s(32,40,20)*t(16,32,12)-
s(32,16,20)s(16,40,20)s(32,40,12)-s(32,16,12)++
s(24,40,28)c(48,24,12)+s(48,24,20)c(40,40,12)-*
s(24,24,20)t(24,40,28)s(24,40,20)*-c(48,48,12)+
c(48,48,12)c(24,48,12)+s(16,32,20)-c(48,16,12)+
t(32,32,20)s(24,32,20)t(40,24,20)s(32,40,20)+**
t(40,16,12)s(16,32,20)+s(32,32,28)t(32,40,28)*-
s(24,40,28)s(24,48,20)c(48,40,12)c(16,32,12)++*
c(24,24,20)s(24,16,20)t(24,32,28)--s(16,16,20)*
s(24,32,28)c(24,40,20)*s(40,16,20)-c(40,32,12)+
c(40,48,12)s(32,32,20)c(48,24,12)-+t(24,40,20)*
t(32,32,28)t(24,40,28)t(24,48,12)-+s(48,32,20)*
t(16,48,12)s(24,40,12)+t(16,16,12)+c(32,24,12)+
t(32,40,28)s(32,40,20)t(16,40,12)+*s(40,40,20)*
s(48,40,20)s(24,24,20)s(24,40,12)-+c(24,32,20)*
s(24,48,20)c(24,32,12)-t(40,40,12)s(24,40,20)+*
c(24,40,20)c(16,32,12)-t(24,48,12)-c(24,32,20)*
s(40,32,20)s(16,24,20)s(32,32,12)-+s(16,16,20)+
c(16,32,12)s(24,40,28)s(40,40,28)*s(40,32,20)*+
s(32,40,28)s(40,40,28)*s(40,40,28)c(48,32,12)-*
s(32,32,28)s(40,24,20)s(48,48,12)+t(40,40,20)-*
t(40,40,20)s(48,24,20)s(48,24,12)--s(8,40,12)+
s(32,16,20)t(32,32,28)t(32,40,20)t(40,56,12)+--
s(40,40,20)t(32,40,28)s(24,40,20)t(40,48,12)+**
s(32,40,20)t(32,48,28)*s(40,24,12)+s(8,48,12)+
t(24,32,12)s(40,32,28)s(24,24,12)-s(24,24,28)-+
s(24,48,20)s(40,48,12)-s(40,32,28)+s(24,48,20)-
s(40,40,20)c(32,24,20)-c(32,32,20)t(40,24,12)-+
c(32,32,20)t(24,32,28)s(40,48,20)-*s(32,32,20)*
s(48,16,20)s(24,40,28)+s(40,48,20)+c(24,24,20)-
s(24,16,20)c(40,48,12)t(32,16,12)t(24,24,12)++-
s(24,40,28)t(32,56,12)c(24,16,12)s(24,40,12)++*
t(32,40,28)s(40,32,20)*s(40,32,12)+t(24,24,12)-
s(24,32,28)s(32,40,12)-s(48,40,20)c(32,40,20)+-
c(24,32,20)t(32,40,12)-s(32,16,20)+s(24,24,12)-
s(48,40,12)s(24,16,20)+c(24,24,20)+t(40,32,12)-
s(24,48,20)c(32,32,12)-s(32,24,12)t(24,16,12)++
c(16,32,12)s(24,24,20)+s(48,40,20)c(32,32,28)*+
s(40,32,20)s(24,16,12)+s(24,24,28)*t(40,40,20)+
s(24,40,20)s(16,16,20)-t(40,32,20)-s(8,40,12)-
t(48,32,12)s(24,32,20)+s(16,40,12)-t(32,40,28)*
s(24,40,28)s(32,24,28)-s(8,40,12)+t(32,40,28)-
s(32,32,20)s(16,40,20)c(24,32,20)*+s(32,32,28)*
s(24,32,12)t(32,40,20)+c(40,32,20)c(40,24,12)-*
s(32,16,20)s(48,32,20)t(24,32,12)+-c(32,32,12)+
s(24,24,28)s(48,24,12)s(24,48,20)+-t(16,16,12)-
s(8,48,12)s(32,48,20)c(24,32,20)*+c(16,48,12)+
s(32,24,28)s(16,48,20)-t(24,16,12)s(24,40,20)++
s(40,24,28)s(16,32,20)-s(40,32,20)*s(40,40,20)*
c(40,32,12)t(24,40,20)+s(24,48,12)-s(24,24,28)*
t(32,48,28)c(32,24,12)+t(24,32,20)c(40,40,12)--
t(24,32,28)c(24,24,20)s(32,48,20)c(32,32,28)*-*
s(24,32,28)c(40,40,20)c(32,24,12)+s(24,40,20)*-
s(32,48,12)s(32,24,28)+c(24,32,12)-c(48,16,12)-
t(24,40,28)s(32,16,20)s(8,40,12)+t(24,48,28)--
s(24,24,20)c(24,40,20)c(40,32,20)--s(40,24,28)*
s(48,24,20)t(40,32,20)s(32,48,20)+s(24,32,28)--
t(16,16,12)s(8,40,12)+c(32,48,12)+t(24,56,12)-
t(40,48,20)c(40,32,12)+t(48,56,12)c(24,16,12)+-
c(32,32,20)s(24,24,12)-t(40,16,12)t(32,48,28)+*
t(24,48,20)s(24,16,12)+s(8,8,12)c(32,24,20)+*
s(24,24,28)c(24,32,20)s(40,32,28)c(40,16,12)-**
s(24,16,20)s(24,24,20)+s(32,16,20)t(24,48,12)+*
t(24,32,28)s(24,24,20)s(16,40,12)s(48,24,20)+-*
c(24,48,12)c(40,32,20)c(48,48,12)t(32,40,12)+*+
t(40,56,12)s(40,32,28)t(40,24,12)-s(24,48,12)-+
t(24,40,28)t(24,32,28)s(16,32,20)+*s(40,40,28)*
s(24,32,28)s(16,40,20)*t(24,40,28)c(48,40,12)+*
c(24,24,20)s(40,48,12)+t(32,32,28)-s(24,16,20)+
s(32,32,28)s(24,40,28)t(24,16,12)c(24,48,12)+-*
s(24,24,28)s(32,48,20)-t(32,48,12)t(24,56,12)++
c(24,40,20)s(40,40,20)c(24,32,12)--s(24,40,20)*
s(32,32,20)s(48,24,20)+s(32,32,28)t(32,24,20)--
s(32,24,28)c(24,40,20)c(32,24,20)*-s(48,32,12)+
s(24,24,28)s(32,24,12)-c(32,32,28)c(32,40,12)-*
s(16,16,20)c(32,40,20)s(16,24,20)+t(32,40,12)-*
c(40,24,20)s(48,8,12)+c(40,24,12)t(40,48,12)+*
t(24,40,28)s(24,40,28)s(32,32,20)--s(32,40,12)+
c(32,16,12)c(24,32,20)s(24,40,28)*+s(32,40,20)*
t(24,32,28)s(16,40,12)s(24,16,20)s(24,32,28)*+*
s(24,24,28)c(40,40,20)t(24,48,20)c(40,32,12)+**
c(32,32,20)c(40,40,20)+t(32,40,28)s(16,24,20)-*
s(48,16,20)s(40,16,12)s(48,16,12)+c(24,24,20)+*
s(40,32,20)t(16,40,12)s(48,40,20)+*t(32,40,28)+
s(40,24,20)c(24,24,20)t(24,40,28)*s(40,24,12)+*
s(48,32,12)t(32,32,20)+s(32,24,28)s(40,16,12)-*
s(24,8,12)s(24,48,20)+s(40,24,20)s(40,40,20)*+
s(24,24,28)t(16,48,12)+c(24,16,12)-s(32,32,28)-
s(40,40,20)s(40,40,28)t(32,40,20)-s(48,40,12)--
s(32,32,28)t(48,32,12)-t(32,40,28)c(48,16,12)++
c(32,48,12)c(32,16,12)+c(24,32,12)-t(40,48,20)-
s(48,48,20)t(24,40,20)+t(24,40,28)*s(48,48,20)-
s(24,40,20)s(48,40,20)t(24,40,12)++s(48,32,20)*
c(32,48,12)c(32,32,20)+c(24,24,20)s(16,48,12)+*
s(40,16,20)s(48,16,20)*t(48,40,12)s(24,16,20)+-
t(32,16,12)t(24,40,20)c(32,40,12)+s(40,48,12)-+
t(32,16,12)c(40,24,20)t(48,56,12)+c(24,32,20)*+
s(24,32,28)c(24,24,20)c(24,40,20)c(16,32,12)---
t(32,48,12)c(40,24,12)+s(24,40,12)+s(24,32,20)*
s(24,32,28)s(16,40,20)*s(24,40,20)c(24,32,20)**
c(48,16,12)c(40,40,12)t(24,32,28)++c(32,32,12)-
c(24,24,20)s(16,24,20)*s(32,16,20)s(32,24,12)--
s(48,48,12)t(24,48,20)+s(24,24,20)+c(24,48,12)-
s(40,40,28)t(24,48,20)t(32,40,28)*-s(16,32,20)-
s(16,8,12)s(8,48,12)s(48,40,12)+s(48,32,12)-+
s(40,40,28)t(40,24,12)-s(24,40,20)s(16,32,12)-*
s(32,24,28)t(40,32,12)-c(40,40,12)s(16,32,12)+-
c(32,32,20)c(32,32,28)s(16,32,20)-*c(48,32,12)-
c(32,32,20)s(40,32,20)+c(16,40,12)s(24,32,12)+*
c(32,16,12)t(40,16,12)s(40,32,20)++s(24,16,20)*
s(24,40,28)t(32,32,28)*s(32,24,20)*c(32,24,12)+
s(24,48,20)s(16,32,20)t(24,32,28)s(32,24,28)**+
s(32,32,20)c(48,24,12)-c(16,32,12)s(40,48,20)+*
t(32,40,28)s(24,32,20)s(16,32,20)*c(24,40,20)*+
t(24,40,28)s(24,40,28)s(48,40,20)-c(32,32,12)+*
s(32,40,28)c(24,24,20)s(24,40,28)-+c(32,16,12)-
s(32,16,20)t(24,32,20)-s(8,16,12)s(40,40,28)++
c(48,48,12)t(16,16,12)+s(40,16,20)c(48,32,12)-+
s(48,24,20)c(24,16,12)s(40,40,28)+s(32,40,28)--
c(24,32,20)t(40,24,20)-t(16,16,12)-t(24,48,12)-
c(40,40,20)s(48,40,20)s(24,32,20)s(40,32,20)-+*
c(32,40,20)s(24,40,20)s(32,32,20)*c(48,16,12)+*
s(48,40,20)s(16,40,20)t(24,56,12)s(8,48,12)+-+
s(32,32,28)c(24,24,20)s(16,8,12)+s(40,32,20)*-
t(24,40,28)s(24,24,12)c(40,32,12)+-s(8,40,12)+
s(48,40,20)c(32,32,28)s(48,32,12)-c(24,48,12)-*
c(24,40,20)c(40,40,12)t(48,48,12)+t(24,32,12)+*
t(32,48,28)s(48,8,12)s(8,48,12)+c(24,32,20)+-
c(40,40,20)c(48,24,12)+c(48,16,12)-c(40,32,20)*
t(32,40,28)t(32,48,28)*t(16,16,12)+s(32,32,28)+
t(48,40,12)s(40,32,12)+s(32,48,12)+s(32,32,28)*
c(48,48,12)t(40,40,20)c(24,48,12)++c(24,40,20)+
s(8,40,12)s(24,24,28)s(32,32,28)*c(40,32,12)-+
t(16,56,12)s(16,40,20)s(32,32,28)c(48,48,12)-*+
t(48,16,12)t(32,48,28)c(24,32,20)c(16,48,12)--+
s(40,32,20)t(32,24,12)-t(24,32,12)+t(24,24,20)-
s(32,24,28)c(48,48,12)s(16,40,20)++c(32,32,28)*
t(24,40,28)c(24,40,20)*s(16,40,20)*t(40,24,20)+
t(40,48,12)t(24,32,20)c(32,40,20)*+s(32,48,20)*
t(24,24,20)s(24,40,28)*s(32,32,20)+t(24,40,20)-
s(8,40,12)t(32,32,28)+t(24,24,20)-c(24,40,20)+
s(32,24,28)c(24,24,12)-c(40,24,20)s(48,24,20)*-
c(32,32,28)t(24,32,20)-c(24,24,20)s(32,24,20)+*
s(32,24,28)s(48,24,20)s(24,24,12)c(48,32,12)+++
s(24,16,20)s(48,48,12)s(32,40,12)s(16,24,20)++*
t(24,40,28)c(24,32,20)+s(32,32,20)c(24,16,12)-*
s(40,32,20)s(32,24,12)s(48,40,20)t(24,40,20)++*
t(24,40,28)s(16,24,20)-c(40,32,20)t(32,24,12)--
t(32,32,12)t(32,48,20)+c(40,32,20)*s(8,16,12)+
s(48,48,20)s(40,40,28)t(48,48,12)s(24,24,20)+-*
s(32,24,12)s(32,8,12)+c(24,24,20)t(24,32,28)--
s(40,32,28)s(40,40,12)s(32,32,28)t(32,40,20)-+*
c(40,40,20)s(32,16,12)s(48,48,20)+c(40,32,12)--
t(32,32,12)t(48,48,12)+c(32,24,20)+t(32,32,20)-
s(16,32,12)s(40,16,20)s(40,8,12)c(32,32,20)+*+
s(48,40,20)s(40,16,20)-s(32,48,20)+s(8,8,12)+
s(40,32,28)c(32,32,28)s(16,24,20)-s(16,40,20)+*
s(32,32,20)c(16,16,12)+s(40,24,12)-t(32,24,20)-
c(24,24,20)s(48,32,12)t(32,32,28)+s(16,16,20)--
s(40,40,28)s(32,24,28)s(48,16,12)-c(24,40,20)--
s(40,24,28)t(32,32,28)s(24,24,28)**s(32,8,12)-
t(32,32,20)c(40,48,12)-c(40,16,12)+c(24,40,20)+
s(16,32,20)s(16,24,20)+c(24,24,12)s(16,40,12)+*
s(24,24,28)s(24,40,28)c(24,40,20)s(24,24,20)+**
s(16,16,20)s(24,40,12)+c(40,48,12)+t(24,24,12)-
s(32,40,28)s(40,24,20)s(32,24,20)t(48,56,12)+**
s(48,40,20)s(40,40,20)s(24,8,12)+*s(48,24,12)+
c(24,32,20)s(40,24,20)-t(40,24,20)t(24,32,20)+-
s(32,16,12)s(32,32,20)c(16,24,12)+s(16,48,12)++
s(16,32,20)s(24,40,20)s(24,32,28)s(40,48,20)-*-
t(40,24,20)t(48,24,12)+s(32,16,20)c(32,32,20)--
s(16,48,20)c(16,32,12)s(40,32,12)+s(32,32,20)*-
t(32,32,20)s(48,24,20)+t(16,16,12)+c(32,32,20)*
t(24,40,12)s(40,24,20)s(24,32,20)c(32,16,12)+*+
c(24,32,20)s(32,32,28)s(40,32,28)*c(32,32,12)--
s(24,32,20)c(24,40,20)s(24,48,12)-*t(40,48,20)-
s(32,32,20)c(32,40,20)*s(16,16,12)s(24,32,20)++
s(40,24,20)s(16,32,20)s(24,48,12)--s(48,24,20)*
t(32,48,20)s(24,48,20)c(40,32,20)+t(24,48,28)*+
s(16,24,12)s(40,24,28)+s(40,48,20)s(24,48,20)-+
t(16,56,12)t(48,40,12)t(40,32,20)+t(24,32,28)++
s(40,16,12)c(24,40,20)s(16,48,20)*+s(48,16,20)-
c(40,32,20)s(40,40,28)*s(24,24,12)-s(32,48,20)*
s(32,40,28)c(40,32,20)t(32,24,20)-s(24,48,12)-*
c(24,32,20)s(40,32,28)*s(40,40,28)t(40,32,12)-*
c(32,24,20)c(48,32,12)+s(32,40,28)*s(40,24,12)-
c(40,24,12)c(24,16,12)+s(24,40,28)-t(40,32,12)+
s(32,48,20)c(32,32,28)c(40,24,12)s(8,40,12)+-*
t(40,56,12)s(24,40,20)s(40,48,20)-s(40,48,12)++
s(24,48,20)s(24,32,20)s(32,40,20)t(40,48,20)+*+
s(32,16,20)s(32,32,20)*t(32,24,20)t(40,32,12)-+
s(48,48,12)c(40,32,20)c(24,48,12)-t(32,24,20)*+
s(40,32,20)s(32,40,20)t(32,48,28)s(40,24,12)+**
t(24,40,28)s(48,16,20)s(40,40,28)+*s(32,32,20)*
s(24,32,20)c(32,16,12)-c(32,40,20)t(48,24,12)+*
s(40,24,20)s(24,24,28)s(8,16,12)-c(24,40,20)*-
c(40,40,12)s(24,48,12)+c(40,40,20)s(24,24,20)+*
t(24,40,28)c(32,32,20)*s(32,48,12)c(24,32,12)+*
s(8,48,12)c(40,32,20)s(32,40,28)*s(48,16,12)++
c(40,40,20)s(24,32,28)c(24,48,12)-c(24,24,20)*-
s(16,40,20)c(16,48,12)s(24,40,20)t(40,24,20)-+*
s(16,32,12)s(16,48,20)c(24,40,20)c(40,24,20)-*+
s(40,32,20)s(32,32,20)c(48,48,12)+*s(48,48,20)-
t(24,32,28)s(16,32,20)s(32,32,28)s(40,24,28)-+*
t(24,48,28)c(24,24,20)s(24,16,20)*s(16,16,20)*+
s(40,40,20)t(32,48,28)+t(40,48,20)-t(32,32,28)*
c(32,24,20)s(24,24,28)c(32,32,20)c(32,40,20)***
s(40,24,28)s(24,32,28)t(32,32,28)**s(32,48,20)-
c(40,32,20)c(24,48,12)-t(40,56,12)s(40,16,20)+*
s(32,24,20)c(40,32,12)s(40,32,28)s(24,40,28)*++
s(48,48,20)s(40,32,20)t(32,32,28)+s(24,16,20)--
s(24,32,28)s(48,40,20)t(32,32,28)t(40,48,20)++*
s(48,24,12)s(16,48,12)+s(32,40,20)s(48,32,12)-+
t(16,40,12)c(32,40,20)c(24,32,20)*t(24,40,20)*+
s(16,24,20)s(24,40,20)+s(32,24,28)t(48,16,12)--
s(16,48,12)s(40,32,20)c(24,32,20)*+c(24,32,12)+
s(24,32,28)s(32,16,12)-c(40,32,20)t(40,40,20)-+
c(24,24,20)s(40,24,12)-s(32,16,12)+s(24,40,20)-
c(24,40,20)s(24,32,28)s(40,40,28)**s(24,24,28)*
s(40,40,28)c(40,32,20)*s(48,16,20)s(40,24,20)*+
s(16,24,12)s(32,24,12)s(40,32,20)s(24,32,20)*++
s(32,32,12)s(16,32,20)t(32,32,20)-t(24,24,12)++
s(40,40,28)s(40,24,28)s(48,16,20)*+s(40,40,12)-
s(40,48,20)c(48,32,12)t(32,48,28)s(48,40,20)-+*
t(32,32,28)s(40,24,28)*t(32,48,28)+s(24,48,20)*
s(32,24,20)s(40,40,20)t(32,48,28)*s(24,48,12)++
s(40,32,28)c(40,40,12)c(16,16,12)+-c(32,32,20)*
c(24,24,20)t(32,48,20)-s(24,32,20)s(24,24,12)--
c(32,32,28)c(32,24,20)c(32,32,20)*-s(48,40,12)-
s(40,32,28)t(32,48,28)-s(48,40,20)s(40,40,20)+*
s(40,32,20)s(48,40,20)s(48,24,20)--t(48,40,12)-
s(40,32,28)s(40,24,28)s(24,24,28)+s(32,40,12)-*
c(40,40,20)c(32,32,20)s(16,48,20)s(48,24,20)+**
c(48,16,12)t(24,40,12)+c(24,40,20)s(24,16,12)+-
s(48,16,20)s(48,16,20)c(40,32,20)*s(40,40,12)+*
t(40,24,20)s(48,24,12)s(40,40,12)+s(48,48,12)-+
s(40,16,20)s(48,40,20)-s(16,24,20)+s(40,16,20)*
t(24,40,28)c(32,40,20)*t(40,40,20)-s(24,8,12)+
s(24,24,28)s(40,48,20)-t(48,16,12)s(24,48,20)+-
t(48,40,12)s(32,48,20)+s(32,24,20)+c(32,24,20)+
t(24,40,20)s(16,32,12)-s(32,40,20)s(40,48,20)*+
s(16,48,20)t(32,48,28)s(16,48,12)-t(24,32,20)-+
s(8,32,12)s(8,16,12)+t(32,40,20)t(16,16,12)++
t(24,40,12)t(24,48,12)s(16,32,12)++c(40,32,20)+
s(24,24,28)s(32,32,28)s(8,8,12)+*c(24,32,20)*
s(16,32,20)s(32,40,28)*c(32,32,20)t(40,16,12)-*
s(32,24,28)s(40,24,12)-c(32,40,12)s(32,16,12)+*
s(32,32,28)s(24,24,20)t(24,32,20)+*t(48,32,12)+
c(24,24,20)t(24,48,28)+c(32,40,12)t(40,32,12)+*
c(24,24,12)s(32,48,20)c(24,40,12)-+s(32,48,20)*
c(48,24,12)c(40,40,12)+c(32,32,28)s(24,40,20)-+
c(24,40,20)s(24,48,20)+s(40,40,28)*t(32,56,12)-
s(48,32,20)t(32,32,20)c(32,40,20)s(40,32,12)-+-
c(16,16,12)s(40,32,28)s(24,40,28)*s(32,32,12)-+
s(32,40,28)c(40,32,20)*s(40,24,20)+s(48,48,20)-
s(24,32,20)s(48,40,20)t(32,48,28)-s(24,48,20)+-
t(32,40,28)t(32,32,28)*t(16,56,12)c(32,32,12)++
c(40,24,20)s(32,32,28)t(40,24,12)-*s(40,24,20)*
s(32,40,28)c(24,32,20)t(24,40,28)s(32,48,20)*+*
s(32,24,20)c(40,16,12)-s(24,24,20)*s(8,16,12)+
s(24,32,28)s(16,24,20)t(16,24,12)-s(24,40,20)--
s(24,48,20)t(24,48,28)s(32,24,20)-s(8,24,12)+*
t(32,32,20)s(24,32,12)+c(40,24,12)+t(32,32,28)*
s(32,40,28)s(16,32,12)-t(24,48,12)-s(40,32,20)*
s(40,24,12)s(48,16,20)s(16,16,12)s(32,16,20)+*+
c(32,32,28)s(16,40,20)-c(24,24,20)s(16,48,20)-*
s(32,40,28)c(32,32,20)-t(24,40,28)t(48,56,12)++
s(16,24,20)s(32,24,20)s(16,40,12)s(40,40,28)+*+
t(40,32,12)s(16,48,20)t(24,32,12)-+t(32,40,28)-
t(32,48,28)c(40,32,20)s(32,40,28)t(48,40,12)-**
s(32,24,28)t(48,32,12)-c(32,40,12)c(16,16,12)+-
c(40,40,20)s(32,32,20)s(40,48,20)+*s(32,24,28)+
s(40,40,28)t(24,48,28)t(40,48,20)+s(32,32,28)**
t(32,40,20)s(40,40,20)c(32,40,20)s(24,40,28)***
s(16,40,20)t(24,40,28)s(8,24,12)+*t(24,40,12)-
c(40,40,20)s(40,32,12)-s(40,40,20)t(24,32,28)--
c(24,32,20)s(40,48,20)+t(40,32,20)*c(24,48,12)+
t(32,48,28)t(32,32,12)t(24,24,20)++s(32,24,28)-
c(24,40,20)s(16,32,20)s(32,24,28)*-c(24,40,12)-
t(32,48,28)c(32,32,28)*c(40,24,12)+s(40,24,28)*
c(32,40,20)t(48,24,12)+s(24,40,28)*s(40,16,20)-
s(16,32,20)s(24,40,20)+s(16,24,20)s(8,32,12)--
t(48,24,12)s(24,40,28)+s(24,40,12)-s(32,24,20)*
s(24,16,20)s(32,16,20)t(32,56,12)+*c(16,16,12)-
s(32,40,28)s(40,24,28)*c(32,24,20)t(32,32,28)**
s(40,16,20)s(16,40,20)+s(32,24,28)*s(24,24,28)*
s(24,32,28)s(24,24,28)*s(32,32,20)s(40,48,12)-*
s(16,16,20)c(40,24,20)t(24,48,28)s(32,16,12)+*+
c(32,32,28)s(32,32,20)t(40,48,20)-t(32,48,12)+-
t(16,16,12)s(24,24,12)s(40,8,12)+s(32,24,12)-+
t(32,40,12)c(24,24,20)s(32,16,20)*+c(32,32,20)*
s(48,32,20)s(48,48,12)-c(32,32,28)*c(32,16,12)-
t(24,48,28)s(48,16,20)t(24,32,28)+c(40,16,12)-*
t(32,40,20)s(32,32,20)t(16,32,12)+s(40,40,28)**
s(24,24,20)s(16,40,20)t(16,56,12)+c(32,16,12)++
s(40,24,28)c(40,40,20)c(40,32,20)**c(32,24,12)-
s(48,32,20)c(40,32,20)+s(8,16,12)c(40,40,12)++
s(24,48,20)t(40,48,12)t(40,40,20)t(24,48,20)-+-
s(32,40,28)s(40,32,20)*s(32,24,28)*s(32,24,20)*
s(24,24,28)s(16,48,20)-c(32,32,12)-c(40,32,12)+
s(32,48,20)s(24,48,20)s(24,40,20)+c(40,40,20)**
t(32,32,28)s(16,32,12)t(48,24,12)+-s(24,40,28)*
s(40,48,20)s(32,48,12)t(32,24,20)+c(24,48,12)--
s(32,32,20)s(48,32,20)+s(32,32,28)s(32,48,20)**
s(32,24,28)s(40,32,28)*s(32,8,12)c(40,32,12)+-
s(24,24,28)t(32,32,28)c(40,24,12)t(40,40,20)++*
s(40,24,20)c(40,32,20)t(32,56,12)s(16,8,12)++*
t(24,40,28)c(32,32,20)t(40,56,12)+s(24,32,20)*+
s(16,40,20)s(32,48,12)-t(32,32,28)c(16,24,12)--
c(24,32,20)t(24,48,12)t(48,56,12)+-c(40,48,12)+
c(32,40,20)t(16,48,12)-s(40,24,28)*c(24,24,20)*
s(48,24,20)t(32,24,20)s(48,24,12)+t(40,32,20)--
s(24,48,12)t(40,24,12)c(16,16,12)++t(24,40,28)-
t(32,40,28)s(40,48,20)c(32,32,28)s(24,40,28)***
s(24,24,28)t(24,24,20)-s(8,24,12)s(40,32,20)+*
c(40,32,20)s(40,24,28)t(32,32,12)-*s(32,32,20)*
s(40,24,20)s(24,40,28)s(16,32,20)*+s(24,40,28)+
s(24,48,20)s(16,40,12)s(24,32,12)+s(24,24,28)*-
s(16,40,20)s(40,48,20)c(48,16,12)++c(32,40,20)*
s(48,16,20)c(40,40,20)s(40,24,20)*+s(40,40,12)-
s(8,32,12)c(40,32,20)+s(40,40,28)*s(16,48,12)+
t(32,16,12)t(40,40,20)s(40,48,20)*s(16,8,12)++
t(40,24,20)s(48,24,20)c(32,24,20)c(16,40,12)-**
c(32,40,12)t(24,40,20)c(48,48,12)c(40,48,12)+-+
s(16,32,20)t(48,24,12)s(40,24,12)++c(48,24,12)-
s(32,40,20)s(40,32,28)t(32,48,28)s(48,48,20)*+*
s(40,32,28)t(32,48,28)+s(48,48,12)-c(40,24,20)-
c(40,24,20)c(24,24,20)*t(24,48,28)s(24,8,12)++
c(24,24,20)t(24,16,12)-c(24,40,20)*s(40,32,28)+
s(48,48,20)c(48,32,12)-c(32,24,20)s(24,40,28)+-
s(24,32,28)s(32,24,28)c(24,24,20)*t(40,24,12)--
c(32,32,20)t(24,40,20)s(48,40,12)+*c(40,40,12)+
s(40,24,20)s(48,16,20)s(32,8,12)-s(48,24,20)*+
s(32,40,28)s(24,40,12)-c(24,24,20)s(16,32,20)*-
t(32,48,28)t(32,32,28)+t(16,40,12)t(32,32,20)+-
c(24,40,20)c(40,48,12)-t(24,48,20)-t(16,24,12)-
s(40,24,20)s(40,48,12)+c(24,32,20)-c(40,32,20)*
t(32,48,28)t(24,32,28)*s(48,16,20)+c(48,24,12)-
s(32,48,20)t(24,40,12)-s(24,40,28)t(32,40,12)-*
c(32,40,20)s(40,24,12)-s(32,16,20)s(24,24,28)*-
c(40,24,12)s(24,24,20)+t(32,24,20)-t(32,24,20)+
c(32,32,28)s(48,16,12)-s(24,24,28)-s(8,24,12)+
t(48,24,12)t(32,32,20)+s(40,16,12)+s(40,24,12)-
s(24,40,20)t(40,24,12)t(24,48,20)+-s(24,24,12)+
s(40,24,20)c(40,32,20)s(40,40,20)t(24,48,20)+**
s(32,16,12)s(32,32,28)s(40,24,28)*c(40,32,20)*+
s(24,40,28)s(40,32,20)c(24,48,12)+-s(24,48,20)-
s(40,16,20)s(32,24,28)c(32,40,20)t(40,40,12)-*-
s(32,48,12)c(24,24,20)c(40,32,12)-c(16,32,12)-+
c(32,32,28)c(32,32,12)-t(16,56,12)t(40,16,12)+-
s(32,32,28)s(16,40,12)-s(24,32,12)s(40,16,12)++
c(32,40,12)s(8,48,12)+s(40,32,28)c(32,32,20)**
s(16,40,20)c(24,32,20)s(32,32,28)**s(24,32,20)*
c(24,24,12)s(24,40,20)+t(24,24,20)c(32,40,12)--
t(24,48,28)s(32,48,12)c(40,32,20)+t(24,32,20)-+
s(32,32,12)t(24,48,28)c(24,32,20)s(40,16,20)-*+
s(32,24,20)t(40,24,20)t(32,32,20)+s(24,40,28)*-
s(32,32,28)s(48,16,20)-s(32,48,20)-c(16,40,12)+
s(24,40,20)t(48,56,12)+c(24,40,20)s(24,32,20)--
c(24,32,20)t(24,56,12)t(32,40,28)+*t(24,32,12)-
s(40,24,28)t(32,16,12)-s(24,24,28)*s(24,40,20)+
s(24,16,12)s(32,40,28)t(32,32,28)-t(24,48,28)*+
c(40,24,12)s(48,16,20)t(32,48,20)+s(40,40,20)*+
c(48,16,12)t(32,48,20)t(24,32,20)+s(16,16,12)++
s(16,24,20)c(40,16,12)c(48,48,12)++c(24,16,12)-
s(32,24,28)c(32,32,28)t(32,40,20)-c(40,16,12)-*
c(24,32,20)t(24,48,28)t(16,24,12)+c(40,24,20)-*
t(24,32,28)c(32,24,20)s(40,24,20)t(32,24,12)-+*
c(32,24,12)s(32,32,20)s(24,24,20)t(16,48,12)+*+
c(16,48,12)s(48,32,20)s(16,24,12)s(40,24,28)+*+
s(32,8,12)t(24,32,28)+t(24,32,20)s(48,32,12)+*
t(32,32,28)c(48,40,12)c(32,48,12)+-s(24,40,28)+
c(32,32,20)c(48,16,12)t(32,32,28)+*t(32,40,20)*
s(24,16,12)s(8,16,12)+c(48,32,12)+c(40,48,12)+
c(48,24,12)s(24,40,28)s(16,48,20)-c(24,24,20)++
s(32,40,28)s(16,40,12)-s(16,16,12)s(16,48,12)+-
t(40,48,20)c(24,24,20)+t(24,32,20)c(40,32,12)--
s(48,48,12)s(24,32,28)c(32,48,12)-s(32,32,28)*+
s(24,48,12)c(32,32,20)s(16,40,20)*+t(40,40,20)-
s(40,40,28)c(24,40,20)*c(32,32,28)c(16,48,12)-*
t(24,32,20)t(24,40,12)-s(40,24,20)t(32,32,12)-+
c(40,24,20)c(32,24,20)s(24,32,20)**c(40,24,12)+
s(40,40,28)s(16,32,12)+s(32,40,28)t(24,40,12)--
t(48,16,12)s(16,32,20)+c(32,24,20)t(32,56,12)+-
s(32,32,20)t(32,40,20)*s(32,24,12)+s(24,24,28)*
s(16,48,20)s(24,40,28)t(24,48,28)--s(32,32,20)+
s(40,24,12)t(32,48,28)+t(32,32,20)-t(24,32,20)+
s(40,32,20)t(32,40,28)c(24,24,12)+t(24,32,12)-*
s(48,40,20)s(24,32,20)s(24,40,20)*-s(8,40,12)+
s(24,32,28)s(24,24,28)c(16,16,12)-*c(24,24,20)+
s(40,32,28)s(40,48,20)*c(24,32,12)+t(24,48,28)*
t(32,48,28)s(40,48,20)*s(24,24,28)s(16,48,20)--
c(24,24,20)s(40,16,12)+t(24,32,20)c(40,32,12)+*
c(40,40,12)s(24,48,20)+s(40,32,12)+t(24,24,20)-
c(24,40,20)t(40,16,12)+t(40,40,20)s(32,16,20)+*
s(32,16,20)s(16,40,12)+c(24,24,20)t(32,48,20)--
t(24,48,12)s(16,16,20)s(48,16,20)+c(48,32,12)++
s(48,16,20)s(48,48,12)+s(40,40,28)*c(40,16,12)-
s(24,32,20)t(32,40,20)t(32,56,12)+s(16,24,20)+*
s(32,32,20)t(48,40,12)s(32,24,20)t(40,24,12)-+*
c(24,40,12)s(48,24,20)s(8,40,12)++s(24,40,28)*
c(40,32,20)s(40,24,20)t(32,40,28)+s(40,16,20)**
t(40,40,20)c(48,24,12)t(24,32,20)+s(32,24,12)--
s(24,40,28)s(24,48,20)t(16,48,12)-t(24,48,12)-*
s(24,40,28)c(24,48,12)-s(48,24,20)-s(24,48,20)-
s(24,24,20)t(32,48,20)s(24,24,20)+c(32,40,20)*+
s(40,48,20)s(48,32,12)s(16,40,12)+-s(24,40,28)+
c(16,40,12)t(32,32,20)+s(24,48,20)-s(48,8,12)+
s(32,16,20)s(32,32,28)t(40,32,20)-c(24,32,20)++
c(48,24,12)c(40,16,12)t(24,40,20)++s(32,32,20)*
c(40,32,20)s(40,24,28)s(16,24,20)-*t(48,40,12)-
s(48,32,20)s(24,24,12)t(32,40,28)+-c(24,40,12)+
t(24,56,12)s(40,32,28)+c(32,40,20)*s(40,40,12)-
s(40,40,28)c(24,40,20)s(24,24,12)s(48,40,20)++*
c(40,24,20)s(48,40,20)c(40,32,20)*-c(40,40,12)+
s(32,32,20)c(24,32,20)*s(24,40,20)*s(40,32,12)+
t(24,32,28)s(40,40,20)t(40,40,12)--t(24,56,12)+
s(32,40,12)c(16,32,12)t(24,48,12)++t(32,40,12)-
c(40,32,20)c(32,24,20)*s(48,32,20)s(24,16,12)+*
c(40,40,12)s(32,32,20)t(24,24,12)-+s(16,32,20)+
s(24,24,28)s(8,16,12)-c(24,40,12)-s(24,32,20)*
s(24,32,28)t(48,40,12)+t(32,40,12)-s(16,48,20)*
c(40,32,20)c(40,48,12)-c(40,32,20)t(32,24,20)-+
c(32,32,28)s(32,24,28)t(32,32,28)*-s(16,48,12)-
s(40,40,12)s(24,32,12)+c(40,24,20)s(48,48,20)--
t(32,48,28)s(16,48,12)-t(24,48,12)-t(24,32,28)+
s(32,24,28)c(32,16,12)-t(16,48,12)s(40,32,28)+*
s(32,48,20)c(32,32,28)s(40,24,20)s(40,8,12)+-*
t(40,40,20)t(16,40,12)+c(32,32,20)*t(24,48,12)+
s(24,24,20)t(32,48,28)t(32,16,12)t(32,40,28)+*+
t(16,16,12)c(24,32,20)c(32,40,12)-s(24,40,28)*+
c(40,32,20)t(32,40,20)s(24,48,20)+s(32,32,28)*-
c(24,24,20)s(16,16,20)c(32,32,20)s(40,32,28)*+*
s(32,24,20)s(40,40,20)c(24,32,12)+t(24,16,12)+*
s(40,32,28)c(40,32,20)s(32,40,28)*s(24,48,12)+*
t(32,40,20)t(40,40,20)t(24,40,12)+*c(48,48,12)+
s(40,40,20)c(40,40,20)t(24,24,20)-*s(40,32,20)*
s(32,32,20)c(32,16,12)+c(24,40,20)s(16,40,20)+-
c(24,40,20)s(32,40,20)s(48,40,12)-s(24,32,20)*-
s(24,40,28)t(24,40,28)s(16,32,20)*c(40,48,12)+*
s(32,32,20)s(48,16,20)s(48,24,20)*-c(40,32,12)-
s(48,24,20)s(40,24,20)+s(40,32,12)-c(24,32,12)+
c(32,32,20)s(24,32,28)*c(32,16,12)+c(32,24,12)-
t(32,56,12)s(40,24,20)+t(32,56,12)c(16,24,12)+-
t(24,32,28)s(40,40,28)t(24,48,28)c(24,24,12)+*-
s(40,16,12)s(48,40,20)+c(24,24,20)-t(32,32,20)+
t(24,16,12)s(40,32,20)s(24,32,28)*+t(40,32,12)-
s(40,16,12)s(24,32,20)t(32,48,28)-+s(16,16,12)-
s(32,24,28)s(40,48,12)c(24,32,20)+-s(32,32,28)+
t(24,16,12)t(40,24,20)+s(40,16,20)*t(40,32,12)-
s(32,40,28)t(32,32,28)s(16,32,12)-c(24,48,12)--
c(32,32,20)c(48,16,12)-s(48,40,12)t(48,32,12)+-
t(32,32,28)t(40,48,20)t(24,32,12)+*t(32,32,12)+
c(32,32,28)t(48,16,12)c(40,40,20)s(48,40,20)++*
t(40,48,20)s(32,32,12)-s(24,48,20)c(32,32,28)*+
c(24,40,20)c(40,40,20)c(32,24,12)--s(16,24,20)-
t(24,32,20)s(32,32,20)*s(24,16,20)s(32,40,20)-+
c(32,40,20)c(48,40,12)t(24,56,12)+-t(32,40,28)*
s(24,40,28)t(40,40,12)-c(24,24,20)s(16,16,20)*-
t(24,24,12)c(40,32,20)s(48,16,20)*+s(24,16,12)-
c(40,40,20)s(32,24,28)c(40,16,12)--t(48,56,12)-
t(24,48,28)s(40,24,20)c(40,40,20)-+s(32,40,12)-
s(40,32,20)c(32,32,20)*s(48,24,12)-s(24,24,28)*
s(40,32,28)s(32,40,28)*t(40,48,12)-c(48,32,12)-
t(16,56,12)t(24,40,28)+c(40,32,20)s(24,40,28)**
s(8,48,12)c(48,32,12)c(24,24,20)++c(16,48,12)-
t(24,56,12)s(40,40,20)+s(40,24,20)-s(40,48,20)*
t(32,32,20)s(32,40,12)s(24,32,20)c(24,24,20)*++
t(32,40,28)s(48,48,20)s(32,48,20)+s(24,16,20)+*
s(32,32,28)s(16,40,12)s(40,32,28)+s(32,24,20)*-
s(40,24,28)c(32,40,20)t(32,48,28)*s(40,48,20)*-
s(48,32,20)s(32,24,28)*s(32,48,20)+s(24,24,28)+
t(40,40,20)c(32,24,20)c(32,40,12)t(32,32,12)+--
t(32,32,28)s(32,40,12)t(40,48,20)++s(40,40,20)-
s(40,40,20)s(40,32,20)c(24,32,20)s(32,32,20)**-
t(32,40,20)s(32,24,28)s(48,24,20)-t(24,40,12)--
c(32,32,28)s(24,32,20)s(16,48,20)+s(8,16,12)+*
s(24,24,28)t(32,32,28)*t(40,32,12)-t(32,32,20)+
s(32,32,28)s(16,24,20)-c(32,32,20)*t(24,32,28)*
c(40,24,12)t(24,32,28)c(40,48,12)-+t(40,24,20)*
t(24,32,28)s(32,16,12)+s(16,32,20)*c(48,16,12)+
s(40,24,28)s(40,40,28)s(32,32,28)**t(40,32,12)-
c(32,24,20)s(32,32,28)s(48,16,12)-s(24,24,28)**
s(40,24,28)s(32,32,28)*s(32,8,12)+t(24,32,20)-
c(40,40,20)s(8,8,12)s(40,40,20)t(24,40,28)*+-
s(40,24,20)c(24,48,12)s(32,16,20)+*s(48,16,20)+
t(32,48,20)s(40,32,20)t(24,48,28)-+c(24,40,20)-
s(16,24,20)s(8,24,12)c(40,32,20)+-t(32,40,20)+
c(24,40,12)s(40,48,20)+s(24,40,28)*t(24,40,12)-
t(24,48,28)t(16,56,12)s(40,32,20)++t(24,32,20)*
s(24,32,28)t(32,24,20)t(32,32,20)+-t(24,32,28)*
s(48,40,20)s(8,16,12)+c(40,32,20)-s(40,8,12)+
s(32,40,28)c(24,32,20)t(32,48,20)s(40,32,20)+*-
c(40,32,20)s(32,24,20)+t(24,32,28)*t(24,24,20)*
s(16,32,12)t(48,24,12)s(32,32,20)++c(40,40,12)-
s(32,40,28)t(16,16,12)c(16,40,12)+c(24,40,20)++
c(24,32,20)c(40,24,20)t(16,40,12)+s(24,24,12)-*
s(24,24,28)s(40,40,20)c(32,32,12)+*s(48,48,20)+
s(16,48,20)s(16,24,20)s(24,32,20)c(40,40,12)--+
s(16,16,20)c(40,24,12)+s(32,32,20)s(24,48,12)+*
s(40,24,28)s(8,16,12)s(32,40,12)+-s(32,32,28)*
s(32,48,20)t(24,40,28)+c(40,32,20)s(24,16,20)+-
s(24,16,12)s(40,24,20)+s(16,40,20)s(40,32,28)-+
s(8,32,12)s(16,48,12)c(24,32,12)+s(32,32,28)*+
c(24,40,20)t(24,24,12)s(32,8,12)+-s(40,24,20)-
s(32,24,28)c(40,24,20)t(32,24,12)-t(16,56,12)+*
t(24,40,28)s(8,40,12)+s(24,32,20)t(24,48,28)*-
s(16,40,20)s(40,24,28)-t(40,40,12)+s(16,48,20)*
s(32,24,28)c(16,16,12)-c(48,24,12)-s(32,32,28)*
s(32,32,20)t(24,48,20)-t(40,16,12)-c(40,32,20)*
s(40,32,12)s(40,48,20)+t(24,48,28)s(32,32,20)--
s(48,8,12)t(24,24,20)s(24,16,20)*+t(32,48,28)-
s(32,24,20)c(32,40,20)+c(32,24,20)*t(24,32,12)-
s(24,40,28)c(24,48,12)-s(32,40,20)*c(48,24,12)+
c(40,32,20)s(32,48,20)*t(24,40,28)s(24,24,28)*+
t(24,32,28)c(40,16,12)s(32,32,28)t(32,48,28)-+*
s(16,24,20)s(32,32,28)+t(40,16,12)s(32,24,12)+-
t(24,24,20)s(32,48,20)+c(32,32,20)*c(40,48,12)+
s(32,40,28)c(16,48,12)s(24,16,20)++s(48,48,12)-
s(24,48,20)s(24,32,20)t(24,24,20)s(24,16,20)*--
s(40,40,20)t(16,40,12)+s(40,40,28)*t(48,32,12)-
c(48,32,12)s(16,32,20)+s(16,16,12)-s(48,24,12)-
s(32,24,28)t(24,56,12)s(40,32,28)+c(32,40,20)--
c(32,40,20)t(48,48,12)-s(8,40,12)s(48,24,12)+-
s(8,48,12)c(24,24,12)+s(16,8,12)+c(40,16,12)+
s(32,24,20)s(40,24,20)+s(32,16,20)s(24,40,20)-*
s(24,24,28)c(32,32,20)*c(40,32,20)t(24,48,28)--
s(32,24,20)s(32,48,20)t(32,32,28)*-c(40,16,12)+
s(16,40,20)t(32,48,28)t(24,24,20)t(24,48,28)+*+
s(32,32,28)s(48,24,12)-t(24,48,28)+t(32,32,28)*
t(16,32,12)s(40,48,20)t(40,40,20)*+c(24,40,12)+
s(16,40,20)s(16,16,20)+s(32,40,28)s(40,24,20)--
s(48,48,20)t(24,56,12)+t(40,56,12)s(40,32,12)+-
c(32,32,28)t(24,48,28)-c(24,24,20)*s(48,24,20)-
s(40,40,28)s(16,40,20)-c(32,32,20)*t(40,48,20)+
s(40,24,20)c(32,24,20)s(40,40,12)-s(40,24,28)**
t(40,24,20)t(24,40,28)c(24,24,20)*+s(24,32,12)-
c(32,24,20)s(32,24,28)s(40,24,12)-s(16,16,12)--
s(40,32,28)s(24,16,12)s(40,16,12)t(40,24,12)++*
c(40,16,12)s(32,48,20)s(16,32,20)t(24,48,20)+*+
s(32,32,28)t(24,40,28)s(48,40,20)c(32,24,12)+-*
s(24,32,28)s(24,40,28)+t(32,32,28)t(40,48,12)+*
s(48,40,20)t(32,32,20)-t(40,16,12)+s(48,32,12)+
c(40,40,12)t(24,40,28)s(48,48,20)-+s(32,48,20)*
s(32,32,20)t(16,40,12)-s(40,32,20)*t(40,32,20)+
t(24,48,20)s(40,40,20)+c(24,40,20)*c(40,32,20)*
t(32,40,28)s(48,32,20)s(32,32,20)t(24,32,28)+*+
s(32,40,28)s(40,40,28)t(24,48,20)-s(32,24,28)*-
c(32,24,20)t(32,40,28)t(40,32,20)t(32,40,20)+*-
c(32,32,28)c(24,40,20)s(32,24,12)s(16,8,12)+--
c(32,32,20)s(24,16,20)-t(24,40,20)+c(32,40,20)*
s(32,32,20)t(16,56,12)t(16,24,12)++s(32,40,20)*
s(16,24,20)s(32,16,12)-s(16,16,20)*s(40,32,28)-
c(40,32,20)s(48,40,20)s(32,32,28)+t(24,40,28)**
s(24,32,20)c(40,40,20)s(24,8,12)+c(40,24,20)*-
t(32,32,28)c(48,48,12)t(24,32,12)s(32,48,20)++-
t(48,16,12)t(16,16,12)t(24,56,12)++t(16,16,12)-
s(32,40,20)s(48,24,12)s(32,8,12)t(32,32,20)++*
t(40,32,20)s(40,32,20)c(24,24,12)-c(40,40,20)**
s(24,32,28)t(40,40,12)-t(40,32,20)s(48,32,20)*-
s(48,40,12)s(16,24,20)+c(24,24,12)-t(32,32,28)-
t(24,32,28)s(16,32,20)+s(40,24,28)*c(40,32,20)*
s(32,16,20)s(32,40,28)s(24,32,28)*+s(32,32,12)-
t(16,40,12)s(40,32,28)s(32,40,20)c(40,40,20)*-+
c(24,24,20)s(24,40,20)s(24,48,20)*-s(40,32,28)+
s(48,24,20)s(40,48,20)s(32,16,12)++s(48,40,20)-
s(24,48,20)s(32,32,20)c(40,24,20)t(32,32,28)**-
s(40,40,28)t(32,48,20)s(24,32,12)+*c(40,40,12)-
c(24,40,12)c(32,32,12)+s(32,32,20)*s(48,48,20)+
s(40,32,28)s(40,24,12)c(32,48,12)+*s(8,48,12)+
s(32,40,28)s(40,40,28)c(40,40,12)-*s(32,32,12)-
c(24,24,20)t(32,24,20)s(32,40,28)*-s(40,32,28)-
c(32,40,20)s(32,48,20)*c(40,24,20)s(40,32,12)--
s(48,40,20)c(32,40,20)t(16,40,12)-s(32,24,20)*-
t(40,40,12)t(24,40,12)+s(48,8,12)+c(16,24,12)+
c(24,40,20)s(8,40,12)-c(48,40,12)s(24,32,12)++
s(40,24,20)s(24,40,20)s(48,48,20)--t(40,24,20)+
s(24,32,28)t(40,32,12)-c(24,24,20)*s(40,24,12)-
s(32,40,28)s(48,16,20)+t(24,48,28)+c(40,48,12)-
s(48,48,20)s(32,24,28)c(24,40,20)t(40,24,20)-*+
s(16,32,12)c(16,48,12)+s(24,24,20)s(8,32,12)--
s(24,24,20)s(8,48,12)s(48,16,12)t(24,16,12)++-
s(16,16,20)s(24,16,20)+t(16,16,12)s(40,40,28)+-
t(24,48,28)t(40,32,20)-s(40,32,20)+c(16,24,12)+
c(40,32,20)t(48,32,12)-s(32,32,20)t(40,24,12)-*
c(32,32,28)c(24,40,20)-s(48,24,20)t(32,32,20)-*
t(40,24,20)t(24,40,20)t(24,32,28)*+c(32,32,20)*
s(32,24,20)s(16,24,20)c(32,32,28)*t(32,40,28)--
s(40,24,20)c(24,32,20)*s(48,48,20)c(24,16,12)++
s(16,32,20)t(32,32,28)*t(24,48,28)t(40,56,12)-+
s(24,40,28)s(32,24,12)-s(40,32,12)+c(40,32,20)*
t(24,32,28)s(40,32,28)s(40,24,20)c(24,24,20)+**
c(32,32,20)t(32,48,20)s(24,24,28)+s(32,24,28)**
s(16,16,20)t(48,16,12)s(32,24,20)s(24,40,28)*+-
c(40,32,20)s(40,32,28)t(24,24,12)-s(40,32,12)-*
s(48,16,20)t(24,24,20)+s(32,48,12)t(24,32,28)+*
s(48,40,20)s(24,40,28)c(24,24,20)*-t(32,24,20)+
t(24,40,28)s(40,32,20)+t(24,32,28)+s(16,40,12)-
s(32,16,20)t(32,40,28)+s(48,24,20)-s(40,48,12)-
t(24,40,20)t(16,32,12)+t(24,24,20)s(16,8,12)--
s(48,16,12)t(24,24,20)+c(24,32,20)*s(32,40,12)-
c(32,24,20)s(32,24,28)s(8,48,12)+t(32,32,28)**
c(40,24,20)s(40,32,20)c(40,40,20)**t(32,32,28)+
s(48,48,20)c(32,40,20)t(32,40,28)*-t(32,32,12)+
c(24,24,20)s(48,32,20)-c(40,32,20)t(24,40,28)-+
s(24,32,28)s(48,48,20)c(40,24,12)+s(32,16,20)--
c(40,40,20)c(40,40,20)s(48,32,20)t(32,32,28)*--
s(40,32,28)s(48,40,20)s(32,24,28)+*c(24,24,20)-
t(32,40,28)t(40,24,20)t(24,48,20)t(16,56,12)++*
s(40,32,20)s(24,24,28)t(40,32,20)t(24,24,12)+**
s(40,32,28)s(40,8,12)s(24,48,20)+-s(24,16,20)-
s(48,40,20)s(48,32,20)c(48,24,12)-t(24,24,12)+*
s(24,32,28)c(24,24,20)c(32,40,20)+c(40,24,20)-*
t(32,32,28)s(24,24,28)s(8,16,12)c(40,24,12)+--
s(40,32,28)s(24,32,28)*s(48,32,12)s(40,8,12)+-
c(40,32,20)s(16,32,20)c(24,32,20)*s(32,40,28)*-
t(40,32,20)t(24,32,20)+s(24,24,28)*c(24,40,20)*
s(32,24,28)s(24,16,20)-s(32,40,20)c(32,32,20)**
s(40,32,12)s(24,32,20)s(40,24,20)-+t(40,32,12)-
c(24,32,20)s(16,16,20)s(8,8,12)--c(24,40,20)*
t(40,48,20)s(32,16,12)+t(32,24,12)-t(32,40,20)-
s(40,40,20)s(40,24,28)*c(32,24,20)t(32,40,28)*+
t(24,48,20)t(32,48,28)*s(40,32,20)+s(24,16,20)-
c(24,48,12)s(32,40,12)s(16,24,12)+s(24,40,20)*+
s(24,48,12)s(16,24,12)s(48,48,20)++t(24,48,28)*
s(32,40,28)s(24,32,20)-s(40,32,20)s(32,24,12)--
s(32,16,20)t(24,32,20)-c(48,32,12)c(32,40,20)++
s(40,24,20)t(32,40,20)s(24,32,12)-+c(24,24,20)*
s(40,32,28)s(32,24,28)c(40,32,20)s(24,32,28)--+
c(48,40,12)s(24,8,12)+s(24,16,20)c(32,32,28)*+
s(16,48,20)s(24,24,28)t(16,40,12)t(40,48,12)+--
s(32,32,28)s(24,48,12)-s(40,16,12)-s(24,32,20)*
c(32,32,28)t(32,48,28)t(24,32,20)-s(48,32,20)--
c(32,32,20)c(40,40,20)-c(40,40,20)+t(32,48,20)*
s(24,32,28)c(24,40,20)c(32,32,20)s(32,16,20)*++
s(32,40,12)s(40,16,20)+c(40,24,20)s(32,24,12)-*
c(32,32,20)s(8,8,12)c(40,24,12)c(24,16,12)++*
c(40,24,12)s(32,40,28)t(32,24,20)-+c(40,16,12)+
c(40,32,20)s(32,32,12)-t(24,24,20)+s(40,40,20)-
s(16,32,20)c(32,32,20)s(24,48,20)s(32,16,20)+*-
s(16,24,12)c(48,40,12)+c(40,40,20)+s(32,40,28)*
s(16,48,20)t(32,40,12)t(32,32,12)c(32,24,12)++-
s(16,40,20)t(32,48,20)-s(32,24,28)s(16,16,20)*-
c(40,32,20)t(40,56,12)+s(32,32,28)t(16,24,12)-*
s(32,40,20)s(40,24,20)c(48,32,12)--c(32,32,12)-
s(24,32,20)s(32,8,12)t(32,40,12)s(48,24,12)++-
s(40,32,28)t(32,16,12)s(16,32,12)+s(24,8,12)--
t(24,32,28)c(32,24,12)-s(40,40,28)s(32,24,12)-+
c(40,24,20)c(32,16,12)t(32,24,12)s(32,48,12)++*
s(32,40,20)s(32,8,12)t(24,24,12)+-s(16,16,20)+
c(24,32,20)t(32,16,12)-t(16,48,12)-s(24,24,20)*
c(16,32,12)s(24,40,20)+s(24,32,28)s(16,24,20)**
s(24,24,20)s(32,40,12)-t(40,40,12)+t(32,32,28)*
s(32,48,20)c(40,24,20)s(40,40,20)++s(48,24,12)-
c(40,24,20)s(32,40,20)s(24,40,20)c(24,32,20)**+
s(40,40,28)s(24,24,28)+s(32,16,20)-s(16,48,20)+
s(48,8,12)c(24,32,12)s(24,48,20)++t(32,48,28)*
c(32,32,28)s(48,16,20)+c(16,16,12)s(32,32,12)+*
s(24,40,20)s(48,8,12)+s(24,24,28)t(32,40,28)*-
s(32,40,28)t(24,40,28)s(32,24,28)*-c(24,40,12)-
s(32,24,20)c(32,24,12)s(8,16,12)++t(24,40,28)+
c(32,16,12)t(32,48,28)+s(40,16,20)s(32,24,28)*-
s(24,24,28)s(8,8,12)-c(32,40,20)c(32,32,12)--
t(32,32,28)s(32,24,28)c(40,32,20)s(48,24,20)+--
c(32,40,20)s(40,24,28)*s(24,24,28)c(24,32,12)--
s(32,24,28)s(24,48,20)-c(40,40,20)s(40,32,28)*-
s(48,24,20)c(32,32,20)s(16,48,20)-*t(16,24,12)+
s(24,32,20)s(40,32,12)-c(24,24,20)s(32,40,28)**
t(16,16,12)s(24,48,20)s(16,32,12)s(48,32,20)+-+
s(24,40,28)c(40,48,12)-t(24,48,28)-c(32,32,20)+
s(40,40,20)s(32,24,20)s(40,24,28)s(24,32,20)**-
t(32,32,28)s(40,32,20)*s(24,40,28)t(16,24,12)-*
c(32,16,12)c(32,24,20)t(32,40,28)t(40,40,12)--+
s(40,40,28)s(32,24,28)+s(24,40,28)s(16,32,12)-*
s(48,16,20)s(32,32,28)s(24,48,12)-c(40,24,20)*-
c(32,24,20)t(32,16,12)-t(24,24,12)-c(40,40,12)-
c(24,24,20)t(24,40,28)t(40,48,12)--s(32,24,28)*
c(16,48,12)s(40,48,20)s(16,40,20)s(32,40,28)*-+
s(16,8,12)t(40,40,20)c(16,16,12)+t(24,32,28)-+
c(24,24,20)s(16,32,20)*c(32,24,12)s(40,48,12)++
s(32,16,12)s(48,48,20)s(40,32,20)-c(32,48,12)-+
s(40,40,28)t(32,24,12)-t(40,40,20)-t(24,48,28)+
s(32,32,28)s(16,32,12)s(24,16,12)t(24,56,12)+++
s(40,32,28)s(32,40,20)s(32,32,20)s(40,24,12)-**
c(40,32,20)c(40,40,12)-t(48,48,12)+s(48,32,20)+
s(48,16,12)s(48,40,20)+s(32,40,20)s(24,32,20)--
s(32,40,20)c(24,24,20)c(40,32,20)s(40,40,20)-+-
s(24,32,20)s(32,24,20)s(24,32,20)t(40,16,12)+**
c(32,32,20)s(16,32,12)-s(8,24,12)+s(48,40,20)-
s(24,40,28)s(16,48,20)-s(48,8,12)c(40,32,12)+-
c(32,32,28)t(48,24,12)c(24,32,12)+s(40,32,28)*-
s(40,32,28)t(24,40,28)s(40,24,20)c(24,32,12)+*-
s(32,48,20)s(48,48,20)s(24,48,12)+s(24,40,28)--
t(24,32,28)s(48,16,12)t(32,32,28)t(48,24,12)++*
c(32,40,20)s(16,48,12)+c(32,32,28)s(16,40,20)**
s(16,40,20)c(16,24,12)+c(32,32,28)t(24,48,28)**
s(40,40,20)s(24,24,28)t(32,40,20)-+t(32,48,28)*
s(8,8,12)s(40,16,20)+s(32,24,28)t(32,40,28)-+
s(32,16,20)c(24,24,12)s(40,24,12)+s(16,16,12)--
c(24,32,20)c(24,24,20)s(24,40,28)*s(40,16,12)+*
c(32,32,20)c(24,40,12)-s(40,24,20)*s(32,16,20)+
s(48,40,12)s(40,16,20)s(32,48,20)++t(32,32,28)*
c(40,40,20)s(32,32,28)+s(48,32,20)t(48,16,12)-*
s(24,40,28)t(24,32,20)s(32,16,20)s(24,16,20)*+*
s(8,40,12)s(40,40,12)+t(32,48,28)t(24,32,28)*-
s(24,24,28)c(24,24,20)s(48,32,20)s(32,48,20)-+*
s(32,40,20)s(32,40,28)t(16,48,12)-t(24,40,28)**
c(32,32,28)c(24,40,12)t(32,40,12)+-s(32,32,28)-
s(24,24,28)c(40,32,20)s(40,40,28)**c(48,32,12)-
t(24,16,12)t(40,40,20)+c(32,24,12)+s(16,40,20)-
s(24,32,28)s(48,48,20)-s(32,24,12)-t(32,32,28)*
t(48,40,12)c(40,16,12)+c(32,48,12)c(16,40,12)++
s(48,40,20)t(16,16,12)+c(32,40,20)*s(16,40,20)+
s(16,32,20)s(24,8,12)+s(32,24,20)-s(32,16,20)-
s(40,24,28)t(32,24,12)-c(24,24,20)*s(40,48,20)-
s(40,48,12)s(24,48,20)t(48,24,12)s(32,32,12)+-+
c(32,24,20)c(40,24,20)*t(32,48,20)t(40,48,12)-+
t(24,48,28)c(32,48,12)s(16,16,12)+-s(40,24,20)-
c(24,40,20)s(24,24,28)c(32,40,20)--t(32,32,28)*
s(48,24,12)c(32,32,20)t(40,16,12)-s(16,32,20)-+
s(40,32,28)s(24,40,28)c(40,16,12)+-t(32,24,12)+
s(24,24,28)c(16,16,12)-c(24,24,12)t(48,40,12)+-
s(48,32,20)s(32,24,28)s(16,24,20)-s(48,24,20)*-
t(24,40,28)s(16,24,20)-s(24,48,20)*s(8,40,12)-
s(40,40,28)c(40,16,12)s(24,40,20)t(32,48,28)++*
s(40,40,20)s(16,16,20)s(24,32,20)-+s(40,32,20)*
s(32,32,28)c(32,32,20)s(32,24,20)s(32,40,28)*--
s(48,48,12)s(16,24,20)t(32,24,20)s(16,24,12)--+
s(40,40,28)s(40,24,28)s(16,40,20)+*s(40,8,12)+
s(16,16,20)s(16,32,12)s(24,16,20)+*c(24,24,20)*
t(16,32,12)s(16,48,20)+s(24,32,28)s(32,40,20)*+
c(24,40,20)c(32,24,20)s(40,32,20)c(16,40,12)+*-
s(48,40,20)c(32,32,28)s(40,48,20)*-t(40,56,12)+
c(24,24,12)t(32,48,28)s(24,48,12)-+s(40,48,12)-
t(24,48,20)c(16,24,12)+t(16,56,12)c(24,24,12)+*
s(40,24,20)t(24,56,12)+s(16,32,12)t(40,40,20)+-
c(24,32,20)s(24,8,12)+s(8,32,12)-s(40,32,20)*
t(32,48,28)s(24,48,20)c(24,40,20)*c(48,40,12)+*
s(48,40,20)s(24,24,28)-s(48,16,12)+c(32,32,20)-
c(32,24,20)s(40,32,20)c(40,24,20)+*s(16,48,20)+
s(24,32,28)s(48,48,20)-c(24,24,20)t(32,32,28)**
c(32,32,12)t(40,40,12)t(16,24,12)t(24,40,12)+++
c(24,40,20)c(16,48,12)-s(24,24,28)c(32,24,20)**
s(40,40,28)s(48,48,20)s(32,32,20)+*t(40,32,20)-
s(40,48,20)s(48,16,20)t(32,48,20)+s(32,8,12)+*
s(40,48,20)s(40,24,28)-s(8,40,12)+s(16,24,20)-
s(32,32,20)t(24,40,28)*s(32,24,20)t(32,32,20)*+
s(32,24,28)s(40,24,20)s(32,16,12)--s(32,32,28)+
s(32,48,12)c(48,32,12)+s(40,48,20)s(40,24,20)+*
s(48,40,12)s(24,16,20)s(40,16,20)*+s(40,16,20)*
c(32,40,20)c(32,24,20)c(24,32,20)t(24,48,20)-*-
c(48,40,12)s(16,48,20)+c(32,32,28)*s(40,32,28)*
t(24,16,12)t(32,32,28)+t(24,24,12)c(24,40,12)+*
s(16,16,12)c(32,24,20)+s(40,24,28)*s(24,24,20)*
s(24,32,28)c(16,24,12)-s(24,40,20)*t(24,40,12)-
t(40,32,20)s(48,32,20)*t(32,40,20)s(32,48,20)*+
s(16,24,12)s(48,24,20)s(40,40,12)s(48,24,12)+++
c(40,32,20)s(48,16,20)c(40,24,20)*s(32,48,20)+*
c(24,16,12)s(8,8,12)+s(16,16,20)*s(8,32,12)+
t(32,32,20)c(40,40,20)s(8,24,12)+*s(16,40,12)+
s(40,48,20)c(48,32,12)-s(40,32,28)s(24,32,28)*+
s(8,40,12)s(48,40,20)c(40,32,20)++t(40,32,20)-
s(32,40,28)s(32,8,12)t(24,48,12)+-t(32,32,28)*
s(40,40,28)s(32,32,28)t(40,40,12)-*s(24,32,20)+
s(32,48,20)s(40,24,28)t(24,40,28)*s(40,24,12)+-
t(32,32,28)c(32,40,20)*s(24,32,20)t(32,32,20)++
s(8,24,12)s(32,32,28)s(16,48,20)-+c(32,24,20)*
c(40,24,20)c(32,40,20)t(24,32,20)-c(24,48,12)--
t(40,24,20)c(48,48,12)s(24,40,20)++s(16,8,12)+
s(32,48,20)s(40,24,28)s(24,32,20)*s(32,40,28)*-
s(48,32,20)t(16,32,12)+t(40,32,20)t(48,48,12)+*
s(32,16,20)t(24,32,28)c(32,24,20)s(16,24,20)+*-
t(32,32,20)t(40,56,12)t(32,24,20)++t(32,32,28)*
c(24,32,12)t(32,48,12)+c(40,24,12)+s(16,40,20)-
c(24,32,20)s(48,48,20)-s(16,24,12)c(40,40,20)+*
t(24,56,12)t(24,32,20)+t(32,48,28)s(48,48,20)+*
s(16,48,20)s(40,32,12)+s(48,40,12)+s(24,40,28)*
s(32,40,20)s(40,32,28)*c(48,16,12)+c(40,40,12)-
c(40,40,20)s(32,32,28)*c(40,24,20)s(40,32,20)+*
s(24,40,28)t(16,56,12)s(24,32,20)c(16,48,12)-+*
c(40,40,20)c(40,24,20)s(32,32,20)+*s(24,32,28)*
s(48,24,12)c(32,40,20)s(32,32,28)t(24,24,20)*-+
c(32,32,28)s(16,8,12)c(32,40,20)+c(48,24,12)+*
s(8,40,12)t(24,48,28)c(32,32,20)*+c(40,32,20)+
c(24,24,20)c(40,24,20)s(40,48,20)-+s(16,48,20)+
s(32,48,20)s(32,40,12)c(48,32,12)+t(40,32,20)*-
c(40,40,20)s(48,40,20)s(24,48,20)-*s(32,24,20)-
s(32,16,20)s(40,24,28)t(24,32,20)-*s(32,24,20)*
s(16,40,20)c(16,24,12)-t(24,32,20)s(48,32,20)--
c(40,24,20)s(48,40,20)t(32,40,20)t(24,32,28)*+*
s(32,24,28)s(40,24,28)*s(24,24,28)*s(32,48,20)+
c(40,24,12)t(24,48,28)t(16,40,12)-s(40,48,20)-+
c(48,48,12)t(48,32,12)+s(24,40,28)s(40,40,20)*-
s(32,40,20)s(48,40,20)+t(32,32,28)s(8,8,12)+*
t(16,56,12)s(24,32,28)s(32,16,20)*s(16,8,12)++
s(32,32,28)s(24,32,12)s(16,24,20)c(40,32,20)-++
c(40,40,20)t(24,48,20)-s(48,24,20)t(32,40,20)--
t(32,32,20)s(24,32,28)t(24,40,28)t(48,40,12)+*+
t(24,16,12)c(40,40,20)s(40,32,28)*+t(32,40,28)*
t(24,48,12)t(16,16,12)+s(40,48,20)c(24,16,12)++
c(24,32,20)s(40,24,28)*c(40,24,12)s(8,48,12)+-
c(48,16,12)t(24,48,12)+s(32,40,12)+s(24,32,20)+
s(40,32,28)s(16,24,20)t(32,40,20)s(24,40,12)++*
t(24,40,28)s(8,32,12)c(48,32,12)++s(48,40,20)*
s(40,32,28)s(48,8,12)t(32,40,20)s(32,32,20)*+*
s(32,32,28)c(32,40,12)-s(24,24,28)*s(24,16,20)*
c(40,32,20)s(24,32,28)t(32,32,28)*s(40,16,20)++
t(24,40,20)s(48,32,20)t(32,32,12)c(48,40,12)+*+
s(48,16,20)s(24,24,28)-s(24,32,20)+t(24,40,20)*
c(32,32,28)t(24,32,20)t(32,32,12)--c(32,40,20)-
s(16,32,20)s(16,40,12)t(24,32,12)+-s(24,40,28)+
s(40,48,20)t(32,24,12)s(16,48,12)+s(24,32,28)*+
s(40,40,20)s(32,16,20)t(40,48,20)s(48,32,12)++*
c(32,32,28)t(48,32,12)s(24,32,12)+-s(24,32,28)*
t(32,32,20)t(40,48,20)s(48,40,12)+c(40,32,20)*-
t(24,48,28)c(40,48,12)-s(32,40,20)s(32,32,20)*-
s(32,24,28)t(32,16,12)s(40,16,20)c(32,24,12)-+-
c(24,24,12)c(32,32,20)s(32,40,20)*s(32,48,20)*+
s(32,32,28)s(32,40,20)-c(32,32,20)s(24,40,28)+*
c(24,24,20)s(24,32,28)*s(40,24,20)-s(32,16,20)+
s(24,24,28)c(40,40,20)-s(40,32,28)s(8,40,12)+-
s(48,32,12)c(24,32,20)s(48,32,20)c(16,32,12)+*+
s(16,32,20)c(24,24,20)s(40,24,20)+c(40,24,20)-*
s(24,48,20)t(48,56,12)+s(24,24,20)-t(32,40,12)-
s(32,48,12)c(16,32,12)+s(16,40,12)-c(32,40,20)+
c(32,32,28)s(48,16,20)s(40,16,20)**s(24,32,20)-
t(24,24,20)c(24,40,12)-s(40,32,20)+s(32,16,20)*
c(40,24,20)t(32,32,28)t(40,48,20)-c(24,48,12)-+
t(32,40,28)t(32,48,20)s(24,40,12)+s(24,48,12)--
s(32,24,28)s(40,32,28)t(32,32,28)s(40,16,20)-**
c(40,32,20)t(24,40,12)-c(32,48,12)+s(40,16,12)-
s(40,16,20)s(40,40,28)+s(24,32,28)*c(32,40,20)*
t(24,24,20)s(32,40,12)s(16,8,12)++s(40,48,20)+
s(48,8,12)t(48,32,12)+s(24,24,20)+c(32,40,20)*
t(32,56,12)s(32,24,12)+s(24,48,12)+c(24,40,20)*
s(40,40,12)s(16,40,20)c(16,40,12)t(48,16,12)+*+
c(24,32,20)s(40,40,28)*s(32,24,20)*t(32,40,12)+
s(40,16,20)c(40,40,20)-t(24,32,28)+t(24,48,20)-
c(40,24,20)s(32,16,20)c(24,32,20)s(24,48,20)+*-
s(16,32,20)s(32,16,20)-c(40,40,20)c(32,24,20)*-
s(32,48,20)s(40,24,20)s(32,32,20)*s(24,24,28)*-
s(40,24,20)s(32,48,20)-s(24,40,28)s(32,24,20)*-
s(40,24,28)s(40,40,20)t(48,40,12)t(24,48,20)++*
s(40,24,28)s(24,40,28)*t(32,16,12)c(32,32,12)+*
c(24,40,20)c(32,32,28)c(40,32,20)-*s(24,40,20)+
s(24,40,20)t(48,16,12)c(24,24,20)+*t(24,32,20)*
c(24,40,20)s(24,48,20)t(24,40,28)s(16,48,20)**-
t(24,40,28)t(40,56,12)+t(24,16,12)s(40,16,20)+-
c(48,24,12)s(24,16,20)+t(40,24,20)*s(48,40,20)+
t(24,32,28)s(8,8,12)+s(40,48,20)s(48,40,20)-+
t(24,24,12)s(48,24,20)+s(40,32,28)*s(32,32,20)-
c(32,48,12)s(40,24,28)c(40,40,20)*+s(24,24,28)*
s(24,48,12)c(48,32,12)+c(24,24,12)+t(40,24,20)-
s(24,24,20)s(32,32,20)t(32,40,20)*-s(48,16,20)-
s(32,24,20)s(32,24,20)c(24,40,20)t(24,56,12)-*-
c(32,24,20)t(24,24,12)-s(24,32,20)-s(32,32,20)+
c(40,32,20)c(40,32,12)-s(32,40,28)c(32,24,20)-+
s(32,16,20)s(16,32,20)s(32,40,28)*-s(48,16,20)+
s(40,32,28)s(16,24,20)-s(40,32,20)t(16,32,12)+-
s(24,40,20)c(32,24,20)t(24,32,28)**s(24,40,12)+
s(24,40,20)t(24,48,28)*s(24,32,20)s(16,32,20)*+
t(32,24,20)t(32,48,20)+c(32,32,12)s(48,48,20)+-
t(16,48,12)c(40,16,12)+t(16,56,12)s(40,32,12)+-
c(32,40,20)s(40,24,28)c(24,32,20)-s(24,48,12)+-
t(24,24,12)t(32,32,28)s(24,32,12)-+c(32,24,20)*
s(48,24,20)s(24,24,28)+c(40,24,12)t(40,40,12)+*
s(24,40,12)s(40,32,20)t(48,24,12)-+c(32,40,20)*
c(24,24,12)c(16,32,12)+s(16,32,20)s(24,32,20)**
t(32,40,20)s(40,48,20)s(24,24,28)+*t(24,48,12)+
t(32,40,20)t(40,24,20)t(48,16,12)s(8,48,12)+--
c(24,24,12)c(32,24,20)s(24,48,20)s(40,40,28)+-+
t(48,40,12)t(24,32,28)t(24,16,12)-s(16,48,20)++
c(24,40,12)s(40,40,20)t(24,32,20)-+s(40,24,28)*
t(32,40,28)t(32,48,28)*s(24,40,20)+t(24,32,20)*
s(16,48,20)s(32,32,12)c(16,48,12)+*t(32,24,12)+
s(24,32,20)s(32,16,12)s(24,32,12)+*s(16,24,20)+
s(40,16,20)c(24,48,12)s(24,16,20)s(48,32,12)++*
s(40,16,20)c(32,24,20)*c(32,24,20)t(32,40,20)-*
s(24,16,20)t(24,32,20)t(16,24,12)--t(24,48,20)+
s(40,24,20)t(40,16,12)-s(16,24,20)c(32,40,20)--
c(40,40,20)c(24,32,12)-c(40,16,12)+t(24,32,20)+
t(24,48,28)s(40,40,20)s(40,32,20)c(32,32,20)**+
c(24,24,20)s(48,16,12)s(24,24,28)+s(24,8,12)-+
s(24,32,28)c(24,48,12)-s(40,40,28)-s(16,24,12)-
s(48,24,20)c(32,32,28)s(40,24,28)*+t(40,40,20)-
t(24,48,20)t(24,24,20)+t(32,24,20)c(40,40,20)+*
s(24,32,20)s(24,24,28)s(40,16,20)*-c(40,48,12)-
c(40,40,12)c(16,40,12)t(24,48,20)++t(24,48,28)*
s(40,48,20)c(48,48,12)t(24,40,20)+t(24,48,28)*-
t(48,48,12)s(16,48,20)+c(32,32,28)s(32,40,12)--
s(40,32,20)c(40,40,20)c(24,32,20)c(32,32,20)***
s(32,24,28)s(24,32,20)-s(40,16,12)t(40,32,12)++
c(32,32,12)s(24,32,20)t(16,16,12)s(16,40,20)+*+
s(32,24,28)c(48,16,12)-c(16,24,12)t(24,24,12)+-
s(32,16,20)s(16,8,12)-c(48,16,12)-t(24,48,28)+
s(24,24,20)c(32,48,12)+s(24,24,28)s(16,40,12)-*
t(32,32,20)t(24,48,28)+s(40,32,20)-s(8,24,12)+
s(40,48,20)s(32,40,28)s(16,24,12)-s(32,24,20)*-
s(24,32,20)c(32,24,20)c(40,32,20)**t(32,48,12)+
t(40,48,20)t(40,32,12)-s(40,48,20)c(32,32,12)-*
c(32,32,20)c(40,40,20)+s(32,32,28)c(32,40,20)+*
c(48,16,12)t(40,48,20)s(32,24,28)-+s(8,24,12)+
s(32,16,20)t(32,40,28)c(32,32,28)c(24,40,20)---
c(32,40,20)s(48,32,20)s(40,40,28)*-t(32,40,28)*
c(48,48,12)c(40,24,20)+s(40,40,20)t(40,32,20)*-
s(32,40,28)s(24,32,20)-c(24,40,20)+t(48,32,12)-
t(48,48,12)s(24,24,20)t(16,32,12)-t(24,16,12)-+
c(24,32,20)c(32,24,20)t(32,32,28)t(24,56,12)+*-
s(24,32,28)s(24,16,12)s(24,32,20)s(48,48,12)++*
s(32,40,28)c(24,32,20)t(32,32,28)*c(40,24,20)+-
s(32,32,28)s(32,40,28)c(16,40,12)-*c(16,24,12)-
s(24,32,28)s(32,40,20)s(16,48,12)-s(16,16,20)+*
t(24,48,28)s(16,32,20)+c(24,24,20)c(40,24,12)+*
c(40,32,20)t(48,40,12)s(32,8,12)+t(24,40,20)+-
s(16,40,20)c(32,24,12)c(32,48,12)+c(24,24,12)-+
s(32,40,28)t(40,32,12)-c(24,48,12)s(16,32,12)+*
t(24,24,20)c(32,24,20)s(24,16,20)**t(24,40,20)+
s(40,40,28)t(24,48,28)*s(16,40,20)s(16,24,20)*-
s(48,48,20)s(24,40,20)t(32,48,28)*c(24,24,12)++
s(48,16,20)s(32,40,28)s(24,16,20)s(32,24,20)+*-
s(32,40,28)c(32,32,28)c(32,24,12)-*s(16,24,12)-
s(8,32,12)s(24,24,20)+s(8,32,12)s(24,40,20)+*
c(40,40,12)c(24,32,20)c(40,24,12)-+c(48,32,12)+
s(40,48,20)s(24,32,20)t(16,24,12)-s(24,16,20)--
s(16,32,20)t(24,32,28)c(48,40,12)s(16,40,20)+**
s(48,16,12)c(24,32,20)c(40,32,20)*s(24,40,12)-+
s(24,24,12)s(48,40,20)+t(32,40,28)s(48,24,20)-*
c(32,32,20)s(32,32,28)c(16,16,12)-*s(48,48,20)-
s(48,24,12)s(48,48,20)+c(48,16,12)-t(40,48,20)*
t(48,40,12)s(40,32,20)t(24,24,20)t(32,40,28)+*+
c(32,32,20)t(32,48,20)-s(16,40,20)s(16,40,12)--
c(32,40,12)s(24,40,20)t(32,40,28)*s(48,48,20)-+
s(48,16,20)s(32,8,12)c(48,40,12)+-s(32,40,28)-
c(24,32,20)c(24,24,20)*c(16,16,12)+s(24,40,12)-
c(32,40,20)s(24,24,12)s(16,40,20)++s(40,40,20)*
s(32,32,28)s(48,16,20)t(24,48,20)c(24,32,12)-+*
c(40,24,20)c(24,32,20)+s(16,24,20)t(32,24,20)+*
t(24,48,28)s(32,16,12)t(32,40,12)+-s(24,40,12)-
c(24,40,12)c(16,24,12)+c(24,40,20)t(40,48,12)-*
c(32,24,20)t(24,48,28)c(40,40,20)t(24,32,20)---
t(40,24,20)c(40,48,12)c(24,24,20)t(24,32,28)*++
s(32,24,28)s(40,40,20)*t(24,32,28)s(24,40,20)--
s(24,40,20)s(24,32,20)t(32,32,20)--c(40,40,20)*
c(24,24,20)t(40,56,12)t(16,32,12)+-c(40,24,20)+
s(32,40,20)s(32,16,12)t(24,48,28)s(24,48,20)*++
t(32,32,28)s(24,24,28)s(24,16,12)-*s(40,24,28)*
s(32,40,20)c(40,32,20)c(32,16,12)s(48,40,12)+-*
s(40,32,28)t(40,32,20)-s(40,48,20)c(24,16,12)++
s(24,40,20)t(40,24,20)-s(24,48,20)*t(32,40,28)*
c(24,32,20)s(40,32,28)t(24,48,20)+t(24,48,28)**
t(24,48,28)t(24,32,20)-t(32,32,12)+s(48,48,20)-
s(40,40,20)t(48,24,12)-t(24,40,12)+c(40,32,20)+
c(16,16,12)s(32,24,12)+s(8,24,12)s(32,32,12)++
s(32,40,20)s(32,32,20)t(48,32,12)t(32,40,28)+**
s(24,40,20)s(8,32,12)-t(32,32,28)*t(32,48,12)+
s(32,32,28)s(40,48,20)s(40,40,20)*c(40,32,20)*-
s(40,40,20)s(48,24,20)-s(16,16,20)s(24,16,20)*+
s(32,40,28)t(24,32,20)*s(48,40,20)-s(8,32,12)+
s(40,24,20)c(24,24,12)+t(24,32,28)-t(40,32,12)+
t(32,48,28)c(32,40,20)t(40,56,12)-*s(48,24,20)-
s(24,40,28)s(32,48,20)s(32,16,20)+*s(24,32,28)*
c(40,32,20)t(32,40,28)s(24,40,12)--s(40,48,20)-
t(32,48,28)s(40,24,20)c(24,24,20)*s(24,40,12)--
s(32,24,20)t(24,56,12)+t(32,56,12)s(24,48,12)+-
s(16,40,20)s(40,40,28)s(32,40,28)+t(24,32,28)**
s(48,32,20)c(40,24,20)*t(32,48,28)+c(32,24,12)-
s(48,48,20)s(48,16,20)+c(24,40,20)t(40,32,20)++
s(24,40,20)s(32,24,12)-s(8,8,12)t(48,40,12)++
s(40,32,20)t(40,40,12)-s(16,32,20)s(40,40,20)+*
s(40,40,28)c(48,32,12)c(48,16,12)+*c(16,16,12)+
s(48,32,20)t(40,40,20)-t(32,32,28)t(40,48,20)--
c(40,32,20)c(32,32,20)c(32,24,20)s(32,16,20)*+*
c(24,32,20)t(24,40,28)t(48,48,12)++c(32,24,20)*
s(40,16,20)s(40,24,12)t(48,16,12)+t(24,40,20)+*
s(16,24,12)t(32,40,20)t(32,48,12)++s(48,8,12)+
s(24,48,20)c(32,40,20)t(16,24,12)c(40,40,12)+-*
s(40,40,12)t(40,32,20)+s(16,40,12)+c(24,24,20)*
s(40,40,12)c(40,32,12)+t(24,32,20)s(40,24,28)+*
c(32,32,28)c(40,48,12)s(48,16,12)s(16,24,12)++-
s(24,24,28)s(16,24,20)t(32,40,28)+s(24,16,12)-*
s(8,8,12)c(24,16,12)+c(32,24,20)t(32,40,28)*-
c(40,24,12)c(24,32,20)c(40,24,20)*s(16,24,12)++
c(32,40,20)t(24,48,28)*c(16,24,12)-s(8,8,12)+
c(24,40,20)s(40,40,28)t(16,48,12)+t(32,48,12)-*
s(24,24,28)s(24,48,20)t(32,24,12)s(8,32,12)++*
s(16,40,20)t(32,32,28)+c(24,32,20)t(24,48,28)*-
s(40,40,20)t(24,48,12)c(24,16,12)+s(32,32,28)*+
c(48,40,12)t(32,56,12)+c(32,40,12)-c(40,48,12)+
s(32,40,28)s(40,40,28)*c(16,40,12)s(16,8,12)+-
c(32,24,20)s(32,32,28)*s(16,24,20)c(32,32,12)+*
s(24,32,28)s(24,24,28)c(24,24,12)t(24,32,20)+--
c(24,24,20)c(40,40,20)+t(32,48,28)t(24,48,28)*-
t(32,48,28)t(48,48,12)+c(16,24,12)+c(16,48,12)-
s(40,16,20)c(24,24,20)s(32,40,12)-s(32,16,20)*-
s(24,32,28)s(32,32,20)s(40,24,20)*-c(32,32,20)*
t(24,32,28)c(16,16,12)-s(24,32,20)c(40,32,20)**
c(40,32,20)c(40,24,20)*t(32,32,20)*s(24,24,20)+
c(24,32,20)c(24,48,12)-s(8,24,12)-t(24,32,28)*
s(40,48,20)t(32,48,20)+t(48,40,12)-t(32,16,12)+
s(32,24,20)s(24,40,20)+t(40,24,12)t(24,32,28)+*
s(16,24,20)s(48,24,20)s(40,48,20)s(32,16,20)+-+
s(8,16,12)c(48,32,12)s(32,32,20)+s(16,32,12)-+
s(16,40,12)t(40,16,12)+t(16,40,12)t(40,24,20)+*
s(32,40,28)c(40,24,20)s(32,32,28)*+c(16,24,12)-
s(48,32,20)c(40,24,20)c(24,32,20)*s(24,8,12)+-
t(24,24,12)c(48,16,12)s(32,48,12)+t(32,32,28)-+
c(32,40,20)c(16,48,12)t(24,24,20)+c(32,32,28)*+
s(48,48,12)c(32,40,12)s(8,48,12)+s(8,48,12)-+
t(32,48,28)t(32,48,12)-c(40,24,20)s(40,8,12)-+
s(24,40,28)t(32,40,28)s(24,32,20)t(24,40,28)*--
s(24,32,20)c(32,24,12)c(40,40,20)s(32,24,28)*+*
s(24,24,20)t(24,48,28)s(32,40,28)+c(32,40,20)--
c(48,32,12)s(48,16,20)s(40,48,12)s(32,16,12)+-+
s(8,48,12)s(40,32,28)s(32,32,12)-c(32,16,12)-+
t(32,32,12)s(48,32,20)s(48,48,12)+s(40,40,20)*+
s(40,32,28)c(48,24,12)-c(24,24,20)*t(24,32,28)*
c(32,32,20)s(32,24,28)c(24,32,20)**s(32,40,28)*
t(32,32,20)s(40,40,12)+s(32,24,28)*s(24,40,28)*
t(32,32,12)s(32,24,20)c(24,24,20)*s(32,32,12)-+
t(32,40,28)s(48,24,20)t(48,40,12)+t(48,40,12)--
t(32,48,20)s(32,24,20)s(16,24,12)+s(32,8,12)-+
t(32,48,28)s(40,24,20)c(16,16,12)+-t(32,24,20)+
c(40,24,20)s(24,32,12)c(40,32,12)+*s(48,48,20)+
c(32,40,20)c(32,40,20)s(40,48,12)-t(24,16,12)++
s(32,40,20)c(48,16,12)s(32,32,20)+s(32,16,20)*-
s(24,32,20)t(24,32,28)*t(24,40,28)*s(32,32,12)-
s(24,32,28)c(32,32,20)t(40,24,20)*s(40,40,12)+-
c(40,40,20)t(40,56,12)-c(24,40,12)c(48,24,12)+*
t(48,48,12)t(48,40,12)t(40,24,12)++s(32,32,12)-
t(32,32,28)s(8,40,12)s(24,48,20)+-c(40,40,12)-
t(40,40,12)t(24,32,20)+c(32,24,20)*s(40,48,12)-
s(24,48,20)s(32,32,28)s(24,40,12)--s(8,40,12)-
s(24,40,28)c(40,48,12)-t(32,32,28)s(48,32,12)-*
s(8,40,12)t(40,32,20)+t(24,32,20)-s(16,24,12)+
c(32,32,20)c(24,24,12)-c(32,32,12)+s(24,40,20)*
s(24,24,12)t(32,48,20)+s(40,40,28)*c(40,32,20)*
s(8,16,12)s(32,48,12)t(32,32,28)+t(24,40,20)-+
s(40,48,12)t(40,32,20)s(48,32,20)++c(24,32,20)*
s(48,40,20)s(24,16,20)+s(40,24,28)*c(24,32,20)-
s(32,32,20)s(40,32,20)t(32,40,12)-*s(16,48,20)+
t(32,32,28)c(16,24,12)-c(32,40,20)+s(40,16,12)-
t(24,32,28)s(40,24,28)s(32,16,20)t(40,40,12)+**
s(32,48,20)t(40,48,12)s(24,48,20)t(32,32,20)-++
s(16,40,20)c(48,48,12)+t(32,48,28)t(32,32,28)+*
s(32,32,28)s(40,48,20)-s(40,32,28)s(48,48,20)-+
s(40,48,12)s(32,32,28)s(48,32,20)*+s(32,24,12)-
s(48,16,20)c(32,24,20)s(40,40,20)s(40,8,12)+++
s(32,32,20)c(32,24,20)*c(32,40,12)t(40,32,12)++
s(32,48,20)s(32,32,20)+s(48,48,20)*s(16,16,20)+
s(24,24,28)c(48,40,12)+t(32,48,28)*s(8,8,12)+
s(48,24,12)s(40,32,20)c(32,40,20)*t(48,56,12)++
s(40,40,20)t(32,56,12)+s(16,32,12)t(40,16,12)++
c(40,16,12)s(40,32,28)c(24,40,20)*s(24,24,28)*+
c(40,32,12)s(32,32,28)s(32,16,20)c(24,24,20)*-+
t(24,32,28)s(32,32,12)-s(24,16,12)-t(32,48,12)-
t(24,16,12)t(24,32,12)s(48,32,20)++t(40,48,12)+
c(24,48,12)s(24,24,28)+s(40,24,20)*t(24,40,28)+
c(40,32,20)s(16,8,12)s(40,32,12)+-s(48,16,20)+
t(16,40,12)c(32,24,20)+t(24,48,20)-s(40,24,20)*
t(40,32,20)c(40,24,20)s(32,32,28)t(32,48,28)+**
s(32,32,28)t(32,32,12)-s(8,48,12)+c(32,40,20)-
s(32,24,28)s(32,24,28)s(40,32,20)*-s(32,48,12)+
s(40,32,28)s(40,40,28)s(48,40,20)-s(32,40,20)+*
s(48,40,20)s(24,48,20)t(32,48,20)s(32,32,28)+*-
t(24,24,12)s(40,16,20)s(8,48,12)+s(32,32,28)-+
s(16,24,12)t(24,32,28)s(24,32,20)*s(8,32,12)-+
c(32,40,20)s(40,40,28)t(32,24,12)-t(40,40,12)-*
s(40,32,20)s(40,40,20)t(24,32,12)+s(16,24,12)+*
t(24,48,28)s(32,24,28)s(24,24,20)c(32,24,12)-*-
s(40,32,20)c(32,32,20)s(32,40,28)**c(48,24,12)+
t(32,24,20)t(32,32,12)+s(32,24,28)t(40,40,20)-*
t(32,48,20)s(32,40,20)+s(24,24,28)+t(32,40,20)-
t(16,56,12)s(48,32,20)c(32,24,12)-+t(24,40,12)+
t(24,40,28)c(32,40,20)*s(40,48,20)s(8,32,12)+*
c(32,24,20)s(16,8,12)+t(40,16,12)-t(24,40,28)+
s(40,40,20)c(48,24,12)+s(40,16,12)-s(16,48,20)-
t(32,32,28)t(32,16,12)-s(24,32,28)s(24,40,28)**
s(32,40,28)c(40,32,20)t(32,40,20)-c(32,24,20)*-
c(32,24,20)s(16,32,12)+s(32,16,12)-t(24,24,20)*
t(40,32,20)c(32,40,20)s(48,16,12)+t(48,16,12)-*
t(32,40,28)t(24,32,20)-c(32,24,20)t(24,40,28)--
t(24,48,28)c(32,40,12)-t(24,32,12)-t(48,56,12)+
c(32,24,20)s(32,16,20)*t(24,48,28)s(48,40,20)--
c(24,24,20)s(24,16,20)*c(48,48,12)s(32,40,20)+-
s(32,40,20)t(24,40,28)c(24,24,20)*c(40,24,20)++
c(32,32,28)s(16,48,20)*s(32,24,12)+s(40,40,28)*
s(40,32,20)s(24,48,20)-t(32,24,20)c(16,32,12)-+
t(24,32,20)s(40,24,28)s(24,40,28)*+c(24,40,20)*
s(32,16,20)s(16,32,20)t(32,32,28)t(32,40,28)*-+
c(32,32,28)c(32,24,12)-s(32,40,20)t(24,40,28)**
s(16,16,20)c(32,24,20)t(32,24,20)s(32,32,20)+*-
s(16,24,20)s(24,16,20)s(8,8,12)-s(32,24,28)*-
c(32,32,28)t(24,40,20)s(40,40,20)+-t(16,16,12)-
c(32,40,12)c(32,32,20)s(24,32,28)c(32,32,12)-*+
s(40,40,20)s(8,48,12)+t(24,32,12)+s(16,48,20)*
c(32,32,28)s(16,32,20)-c(32,32,20)t(24,24,20)+*
c(40,40,20)c(24,32,12)-c(32,32,28)s(24,48,20)*-
t(32,32,28)t(24,48,12)s(16,24,20)c(24,24,20)*++
s(40,32,28)s(24,16,20)-s(32,32,28)*c(32,32,20)*
t(24,48,28)t(24,48,12)-t(16,24,12)+c(16,16,12)+
t(16,40,12)c(24,40,20)c(40,40,20)*+t(32,32,12)-
s(24,40,28)s(40,40,28)c(24,24,12)-*s(40,40,20)*
t(32,48,20)c(32,32,20)+t(40,48,20)c(40,32,12)--
c(24,40,20)c(40,24,20)t(16,48,12)+s(24,24,28)-+
c(32,48,12)c(40,32,12)+s(40,24,28)c(24,40,20)*-
c(40,32,20)s(16,24,20)-t(32,24,12)-s(24,32,28)-
s(32,24,28)t(32,24,20)s(32,40,28)s(40,40,28)*+*
c(24,40,20)c(24,32,20)s(40,24,28)c(32,32,28)***
s(24,48,20)s(32,40,28)t(32,32,12)-+c(24,48,12)-
t(24,16,12)t(32,24,20)c(40,40,20)s(32,24,28)-++
s(16,8,12)t(24,40,28)+s(16,24,20)s(40,40,20)+*
s(40,24,12)s(24,40,28)t(32,40,28)-+s(24,40,20)+
s(24,24,28)s(32,24,28)*c(32,32,28)s(16,40,20)*+
t(32,48,28)t(40,56,12)-c(40,40,12)+t(24,40,28)*
c(24,32,20)t(24,24,20)s(32,24,20)*s(24,48,12)+*
s(32,48,20)s(32,16,20)t(32,24,20)s(24,24,20)*-+
s(24,32,28)c(40,24,20)s(24,40,20)c(48,16,12)+*-
s(24,48,12)s(40,48,20)+s(32,32,12)+s(8,40,12)+
t(24,40,20)c(24,40,12)c(48,40,12)++s(24,40,12)-
s(24,24,20)t(32,48,20)+s(24,40,20)*c(32,24,20)*
s(8,32,12)t(48,24,12)+s(48,40,20)s(24,48,20)-+
t(24,48,20)c(32,32,20)+t(32,40,28)-s(40,32,12)-
s(48,24,12)c(24,40,20)+s(48,24,20)*t(24,24,12)+
t(24,48,28)t(32,24,20)-s(24,48,20)*c(24,24,20)+
t(16,24,12)s(40,48,20)t(24,40,20)s(24,48,20)*-+
t(32,40,20)s(40,16,20)-t(24,24,20)+s(16,8,12)+
s(40,8,12)s(32,48,20)c(32,32,28)*+s(32,24,28)*
c(24,32,12)s(48,16,20)s(24,48,12)s(32,16,20)+-+
c(32,24,20)t(24,24,20)t(32,40,28)+c(32,40,20)+*
t(16,24,12)s(48,24,20)s(40,16,20)++c(32,24,20)*
s(48,48,12)s(32,32,28)s(40,32,12)-s(16,16,12)-+
t(40,32,20)s(16,32,20)+t(32,40,28)s(8,48,12)+-
s(32,32,20)s(40,48,12)+t(40,16,12)+t(32,32,20)-
s(24,32,20)t(32,40,28)s(32,32,28)*s(40,40,20)*-
t(24,40,28)s(48,16,20)s(32,24,20)+t(24,48,28)+*
t(24,48,20)s(24,24,12)c(48,16,12)++s(32,40,20)-
t(24,56,12)s(32,40,20)+s(32,32,20)*t(32,40,28)*
s(32,40,28)s(40,40,12)-t(40,56,12)-c(24,32,12)-
s(48,16,20)s(32,24,28)s(32,40,20)*c(48,24,12)+-
t(24,48,28)t(32,48,20)s(8,32,12)++s(8,40,12)-
s(40,24,28)s(48,40,12)t(32,40,28)+t(40,56,12)+-
s(8,48,12)c(24,40,20)t(32,24,12)-+c(24,24,12)+
c(40,24,20)s(32,24,12)s(32,40,20)+-s(48,8,12)-
t(32,32,28)s(40,32,28)*s(40,48,12)s(16,48,20)++
c(24,24,20)c(32,24,20)c(40,24,20)**s(40,32,12)-
s(16,24,20)t(24,40,20)s(40,16,20)+c(48,16,12)--
s(32,24,20)s(40,40,20)c(48,32,12)++t(24,48,28)-
t(32,48,28)s(32,32,20)c(40,40,20)t(32,40,20)--*
s(32,24,28)s(24,32,28)s(24,24,28)+s(16,48,20)-*
t(32,40,28)t(24,32,28)*t(24,40,28)c(24,16,12)-*
c(16,24,12)t(24,48,12)+t(24,40,12)+s(32,16,20)-
c(32,24,20)s(40,24,20)s(16,32,20)-s(48,32,12)-*
s(40,40,28)s(32,32,20)c(32,24,12)--t(32,40,28)*
c(32,32,20)s(40,40,28)c(48,48,12)t(40,24,20)+-+
c(40,32,20)s(32,48,12)t(48,32,12)+-s(48,24,12)+
c(32,32,20)s(40,24,28)s(24,32,28)s(16,16,20)*-*
s(32,48,12)c(48,16,12)t(32,24,20)++t(32,40,28)-
s(32,40,28)s(40,32,20)c(48,32,12)-t(24,32,12)+*
s(24,24,20)s(40,24,20)*s(48,40,20)s(24,40,20)-+
t(24,48,28)t(24,40,12)-t(40,56,12)-s(40,40,12)+
t(32,32,20)c(32,32,28)s(16,48,20)*t(24,32,12)--
s(40,24,28)s(24,24,28)+s(16,32,20)t(32,32,28)*-
s(32,8,12)t(40,40,20)t(40,32,20)t(40,16,12)-++
s(40,40,28)s(16,24,12)+c(24,40,20)*s(32,8,12)+
s(8,8,12)s(40,16,20)+c(32,24,20)*s(48,32,12)-
t(16,56,12)s(24,24,28)+t(16,24,12)-c(32,32,20)*
c(32,24,20)t(32,48,28)c(32,32,20)+t(32,48,12)-+
c(40,24,20)t(24,32,28)*s(32,24,12)+t(32,40,12)-
t(32,40,28)s(24,40,28)s(40,24,28)t(24,24,12)--*
c(32,32,20)s(40,16,12)-s(40,24,12)-s(24,32,28)*
s(8,8,12)s(40,48,20)s(32,16,12)c(16,16,12)+++
s(32,24,28)s(16,32,12)s(24,16,20)s(48,40,12)++-
c(48,40,12)c(24,48,12)s(32,16,20)++c(32,24,12)-
s(32,40,28)t(32,32,12)-s(40,48,12)c(32,32,20)++
t(40,48,20)s(32,40,12)-t(40,40,20)+t(32,32,12)-
t(24,48,28)c(24,32,20)s(40,24,28)-c(40,32,20)--
c(24,40,20)s(24,32,28)c(24,16,12)-s(32,32,20)**
s(24,32,28)t(32,40,28)s(40,24,28)-s(16,32,20)+*
c(24,40,12)s(16,32,20)c(24,40,20)*+t(16,48,12)-
c(32,32,20)t(24,48,20)-c(24,48,12)+s(24,48,20)*
s(24,8,12)c(32,32,20)c(24,40,20)-+t(40,24,20)-
s(48,32,12)s(24,24,28)+s(32,32,28)s(48,24,20)**
s(32,40,20)c(40,24,20)*c(24,24,20)t(32,16,12)-+
c(48,24,12)s(24,32,28)s(48,40,20)-t(24,40,20)*+
s(32,40,20)c(32,32,20)*c(24,48,12)+s(40,48,20)*
s(32,32,20)s(40,16,20)-s(40,16,12)+s(16,32,20)-
c(32,40,20)t(40,40,20)-t(40,24,20)+c(24,24,20)+
s(32,32,28)c(32,24,12)-t(32,48,20)s(8,24,12)+-
t(24,48,28)c(32,40,12)-s(24,16,20)+s(16,32,20)*
c(32,32,20)c(40,32,20)*c(24,24,12)-s(16,40,12)+
c(32,32,20)c(32,16,12)s(24,16,20)t(32,40,28)-++
c(32,24,20)c(16,40,12)-s(24,24,28)+s(48,16,20)*
s(40,16,20)t(40,40,20)c(24,40,20)+t(24,40,28)-+
s(32,24,28)s(32,40,20)s(40,40,12)-s(8,48,12)+-
s(32,16,20)c(32,32,28)s(48,16,20)--s(32,24,28)*
t(32,48,12)s(48,16,20)c(32,24,20)s(32,32,28)*-+
c(16,16,12)s(48,24,20)s(32,40,20)-+s(40,32,28)*
c(32,32,28)t(16,24,12)s(16,40,20)+-c(32,32,20)+
c(32,32,20)s(40,24,28)*c(24,24,12)-t(48,40,12)-
s(48,24,20)s(24,24,20)t(32,24,20)*-c(32,24,12)-
s(16,16,20)t(32,24,20)-c(32,40,20)s(8,40,12)++
s(24,24,28)s(24,32,20)t(40,40,12)+*s(24,16,20)*
s(24,24,28)s(24,40,28)s(8,48,12)-*s(40,32,20)*
s(40,24,28)s(24,16,20)-s(32,48,20)s(24,32,28)*-
s(8,8,12)s(32,48,20)s(24,40,20)t(32,40,20)*-+
s(16,16,12)t(24,40,28)t(24,48,28)*s(16,40,12)++
c(32,40,20)s(24,32,12)-s(24,40,28)s(40,24,12)-*
c(40,32,20)t(24,48,28)c(32,32,20)*s(48,40,20)+*
s(32,8,12)s(40,40,28)c(32,32,28)s(24,16,20)*-+
s(40,24,28)s(24,32,28)*t(32,24,12)c(48,48,12)+-
s(32,32,28)s(24,16,20)*t(24,48,20)+t(32,40,28)*
s(40,32,28)t(32,24,20)s(16,32,12)+c(48,24,12)-+
s(40,32,28)s(48,40,20)+c(32,32,28)*s(24,24,20)*
s(16,24,20)s(32,24,20)c(32,40,20)s(24,32,20)---
c(32,32,28)t(40,24,20)-s(40,16,20)-s(16,48,20)*
t(32,32,28)c(40,32,20)s(48,16,20)-c(32,24,12)+*
c(24,24,12)t(40,32,12)+s(32,40,28)s(24,32,28)**
t(32,32,20)t(40,48,12)+s(32,24,20)c(40,32,12)+*
s(32,24,28)s(16,32,20)*s(48,40,20)c(32,48,12)-+
c(32,24,12)t(24,40,28)t(40,32,12)++t(32,24,20)*
c(24,32,20)t(40,56,12)+s(16,40,20)s(40,32,20)+*
c(40,32,20)t(48,32,12)-s(40,24,20)s(32,32,20)*-
s(48,40,20)t(40,16,12)+c(48,32,12)s(40,40,12)+-
t(32,40,28)s(16,24,20)c(32,32,28)s(32,32,20)---
t(24,48,28)c(40,48,12)-c(32,32,28)*s(24,32,28)*
s(40,48,12)t(32,32,28)s(24,32,20)s(16,48,12)+*+
c(32,32,12)s(16,32,20)c(24,16,12)t(24,40,20)+*+
c(24,24,20)s(40,48,20)s(24,32,20)c(32,24,12)--+
t(32,56,12)c(40,48,12)+s(16,24,20)+t(24,48,28)*
t(24,40,20)t(16,40,12)c(32,24,20)s(24,32,20)*++
s(40,40,20)c(40,24,20)c(24,16,12)-s(8,24,12)+*
s(8,24,12)t(24,24,20)+t(32,48,28)-s(32,24,28)*
t(24,40,20)c(40,32,20)s(32,40,28)s(40,24,12)-*+
c(32,32,28)t(32,16,12)s(48,40,12)+-t(16,32,12)-
s(24,48,20)t(32,48,20)*s(40,24,12)+s(32,32,20)*
s(16,32,12)s(40,32,20)+s(24,32,28)*s(40,24,20)-
s(40,40,20)s(16,32,20)-s(48,40,20)+c(40,48,12)-
s(40,32,20)c(40,32,20)t(24,40,28)-t(24,48,20)+*
s(24,40,20)s(24,32,28)s(8,24,12)-c(24,48,12)-*
t(24,32,28)s(24,40,28)s(40,32,28)c(40,40,12)-*-
t(24,48,28)s(48,48,20)+c(32,32,28)*s(40,32,28)*
t(24,40,28)c(32,32,20)s(16,48,20)t(24,56,12)-+*
t(32,48,28)s(24,8,12)s(32,24,20)s(24,48,12)++-
t(24,40,28)s(32,40,20)*t(40,24,20)t(16,16,12)+-
c(32,32,20)t(32,40,28)*t(48,32,12)t(40,56,12)+-
t(32,24,12)c(48,48,12)+s(24,40,28)+s(32,32,28)*
s(24,48,20)s(40,24,20)s(24,32,28)*t(48,40,12)++
s(32,40,28)s(8,8,12)c(48,40,12)+c(32,16,12)+-
t(48,56,12)c(32,32,20)+c(40,40,20)*t(32,40,28)*
c(32,40,12)c(48,48,12)+c(16,24,12)+s(24,16,12)-
s(24,40,20)c(40,24,20)s(40,16,12)--c(32,40,20)*
c(24,40,20)c(32,16,12)c(16,40,12)+*s(16,40,20)*
s(48,24,12)t(40,56,12)+s(16,32,20)s(16,24,20)*+
s(32,24,28)s(48,32,20)-c(24,24,12)-s(24,24,20)+
c(40,32,12)s(48,40,12)t(32,40,28)+t(32,40,12)-+
s(32,48,12)c(32,24,20)s(24,48,20)-c(24,40,20)-+
s(32,24,20)t(32,40,20)c(24,32,20)c(40,24,20)+*-
t(40,32,12)s(32,16,20)+s(32,40,12)s(40,24,20)+*
c(32,32,20)s(40,40,20)*c(16,48,12)+s(40,48,20)*
s(32,16,20)s(24,24,28)+c(32,40,20)+s(16,24,12)-
s(32,48,12)s(32,24,28)+c(40,48,12)-t(24,32,28)*
c(24,32,20)s(32,40,28)*c(48,40,12)s(32,32,20)++
s(16,32,12)c(40,24,20)+t(24,32,28)*c(32,32,20)*
s(24,24,20)s(48,16,12)c(16,40,12)s(40,40,12)++-
t(32,48,28)c(40,24,20)c(32,40,12)s(24,16,20)+*-
s(32,32,20)t(16,16,12)c(40,32,12)+t(24,16,12)--
s(32,40,20)t(32,32,28)t(40,24,12)-+s(32,40,28)*
s(32,40,20)s(48,32,20)c(40,32,20)*s(40,40,20)*-
t(32,40,28)s(24,24,20)c(24,40,20)-+s(40,24,12)-
s(32,24,12)s(48,24,20)s(40,40,20)t(40,32,20)*-+
s(40,32,28)c(32,32,12)-s(40,16,20)-s(8,24,12)+
c(32,24,20)s(24,24,28)+s(48,16,20)*s(16,32,12)+
c(48,32,12)c(24,40,20)+s(32,32,28)c(48,48,12)-*
c(40,40,20)c(24,32,20)*s(40,32,28)s(24,40,20)-+
c(40,32,20)s(32,32,20)*t(32,40,28)*s(16,48,20)+
c(40,32,20)s(16,48,20)s(16,40,20)*t(24,40,20)+-
c(48,48,12)s(48,32,12)+t(16,40,12)+s(24,24,28)-
c(24,24,20)c(32,24,20)s(16,40,20)+*t(32,32,20)*
s(32,32,20)c(40,40,20)t(24,40,28)*s(32,16,20)-+
s(24,32,20)s(40,32,28)t(48,40,12)-s(32,48,20)*-
c(24,24,20)s(40,48,20)+s(32,32,12)-s(32,24,20)-
t(48,32,12)t(32,40,28)+c(32,24,20)c(40,32,20)+*
t(32,48,28)s(40,48,20)c(32,40,20)*+t(40,40,20)*
c(32,32,20)s(48,16,20)-c(48,24,12)c(40,16,12)++
s(32,48,20)s(16,48,20)s(24,40,20)t(32,24,12)+*+
c(24,40,20)s(24,32,28)*s(40,32,28)*s(48,48,20)-
c(24,32,20)t(32,56,12)+s(8,16,12)+t(32,24,20)-
t(16,16,12)t(16,48,12)s(48,24,20)++s(24,40,28)*
s(24,48,12)c(48,48,12)+s(40,48,20)+c(32,24,12)+
t(32,40,20)c(48,48,12)+s(24,40,12)-s(32,8,12)+
s(24,32,28)t(24,32,12)-s(32,24,28)*c(24,24,20)*
s(32,48,20)c(40,40,20)c(32,32,20)t(24,32,20)-*-
t(24,48,20)c(32,48,12)t(48,48,12)++t(24,40,28)*
s(32,16,20)t(24,56,12)t(24,32,20)++c(48,16,12)+
s(40,16,12)s(32,32,28)t(40,32,20)-s(40,32,28)*+
t(24,32,28)t(32,48,28)s(40,32,28)*t(40,40,20)+*
c(32,24,20)s(24,24,28)t(24,32,28)**c(40,24,20)*
c(32,24,12)t(24,40,28)+c(24,32,20)*s(24,48,20)*
t(24,24,20)t(32,32,28)t(32,40,28)*s(24,24,12)-+
s(40,48,20)c(24,32,20)s(40,24,20)+s(32,16,12)--
s(24,48,12)s(32,24,28)t(40,32,12)c(16,24,12)+*+
t(16,24,12)s(24,40,20)+s(40,48,12)-s(40,40,28)-
s(32,40,20)s(48,16,12)t(40,32,12)+-t(32,32,12)+
s(16,24,12)s(8,40,12)t(32,56,12)++t(32,40,28)-
s(32,40,12)t(32,40,28)s(32,32,20)-+s(32,40,20)*
s(40,48,20)c(32,24,20)-s(16,48,12)+t(32,40,20)+
s(32,32,20)c(24,32,20)*s(24,16,12)-t(24,40,28)*
s(32,24,12)c(40,32,12)s(48,48,20)++c(24,16,12)-
t(48,40,12)t(24,40,28)s(16,16,20)s(8,16,12)--+
s(16,24,20)t(24,40,20)s(48,24,20)++s(8,16,12)-
c(40,16,12)c(40,40,12)+s(32,32,20)*s(40,24,28)*
t(16,48,12)t(40,40,20)c(16,16,12)c(24,40,12)+-+
s(32,24,20)t(32,16,12)-t(48,24,12)-c(32,32,20)*
s(32,24,20)s(48,40,20)-t(32,40,20)-t(24,56,12)+
c(16,16,12)s(16,8,12)s(48,16,20)s(32,24,20)-++
c(32,40,20)t(24,40,28)c(48,48,12)-s(16,32,20)*-
s(8,24,12)t(32,32,20)+c(40,32,20)+c(16,24,12)-
s(16,48,12)t(24,56,12)s(16,24,12)++s(32,32,28)*
s(32,32,28)t(32,16,12)t(48,24,12)+c(24,40,20)+*
c(40,16,12)s(32,40,20)+t(40,32,12)-s(24,32,20)*
c(40,32,12)c(24,24,20)c(32,32,20)+s(16,40,20)*+
t(16,48,12)s(24,24,20)+t(32,40,20)+t(24,40,28)*
c(16,32,12)s(48,40,12)+s(16,24,20)s(24,24,20)*-
s(32,40,28)s(40,32,28)*s(40,32,20)*s(16,32,20)-
s(24,40,28)s(40,24,28)*c(40,24,20)c(40,32,20)**
s(16,48,20)t(48,32,12)t(40,32,20)+c(32,48,12)-+
t(24,40,28)t(32,40,20)s(16,16,20)+s(40,16,12)+-
t(24,40,20)t(32,24,12)+t(24,48,28)*s(32,16,20)+
t(48,32,12)c(16,32,12)+s(48,16,20)+t(40,24,20)*
s(40,40,20)t(32,40,28)s(32,32,28)c(24,32,20)**+
c(24,24,20)s(48,32,20)c(24,40,12)+t(40,40,12)-*
s(32,48,20)t(40,24,20)+s(32,24,28)t(24,32,28)*-
s(16,24,12)s(40,24,28)c(32,24,20)c(32,32,20)*-+
t(32,32,28)s(24,32,20)*s(32,40,20)+s(48,32,20)-
s(32,32,20)s(48,48,20)+c(24,32,20)c(32,32,20)**
c(24,32,20)c(32,32,12)s(16,32,20)c(16,40,12)-+*
c(16,32,12)s(40,24,28)s(32,32,28)t(24,32,28)**+
c(32,32,28)s(32,48,12)-s(48,48,20)s(24,16,20)+*
t(40,16,12)c(32,24,20)t(32,48,20)s(16,16,20)+*+
s(48,32,20)s(40,40,28)t(40,48,12)-*t(16,32,12)+
c(32,16,12)t(40,48,12)+s(32,48,20)+t(32,40,12)-
t(32,32,28)c(24,32,20)s(32,40,12)-*s(32,32,20)*
c(24,40,20)t(24,24,20)-s(32,40,20)*s(16,40,12)-
s(24,24,28)c(32,32,20)t(24,40,12)--s(24,40,12)-
s(32,48,20)s(24,32,20)+s(40,8,12)+c(24,24,20)+
s(24,48,12)t(32,16,12)+c(32,32,12)-t(40,16,12)+
s(8,8,12)s(24,32,20)s(16,24,20)*+t(40,48,12)+
s(16,40,20)c(32,16,12)+t(24,24,20)*s(40,8,12)+
t(24,32,28)s(40,16,20)s(40,40,20)s(48,40,12)-+-
s(40,40,28)s(24,24,28)s(32,32,28)*c(24,40,20)*-
c(40,40,20)s(32,24,28)+s(48,32,20)*c(40,40,20)*
s(24,32,20)s(32,24,20)*t(16,32,12)+s(40,40,20)-
s(24,32,20)s(48,32,20)-s(16,40,12)s(24,16,20)+*
s(40,40,28)c(32,40,20)t(32,48,12)t(24,40,12)+-*
c(32,32,20)t(32,40,28)s(24,24,20)s(32,24,20)*+*
t(24,48,20)t(48,56,12)+s(16,24,20)t(24,32,28)*+
c(24,40,20)c(32,32,20)s(48,16,20)-*t(32,40,20)*
s(8,16,12)t(32,56,12)+s(48,24,20)+s(24,24,28)-
c(40,40,12)s(32,16,20)+t(32,16,12)s(48,32,20)+-
c(24,24,20)s(40,24,28)t(24,40,28)t(32,48,28)+*-
s(16,48,12)s(32,24,28)+s(40,32,20)*s(24,32,28)*
c(16,32,12)c(24,16,12)+s(24,40,20)+s(24,40,28)*
s(24,32,28)t(24,40,12)t(40,48,20)+s(40,48,20)*-
s(24,32,28)t(16,40,12)-s(32,32,12)s(24,24,12)+-
s(32,24,12)s(40,48,20)+s(32,32,28)*s(24,32,20)*
c(32,40,20)s(40,40,12)-s(48,24,20)t(40,24,20)*-
c(40,24,20)s(32,40,28)s(40,48,20)c(16,32,12)+*-
s(40,24,28)s(32,32,28)*c(32,32,20)*c(40,40,12)+
s(32,24,20)t(32,40,28)s(40,48,20)c(32,40,12)-+*
c(32,40,12)c(48,40,12)+t(32,32,12)t(16,32,12)+-
c(32,48,12)c(40,32,20)s(16,24,20)-+s(16,32,20)+
s(48,24,20)s(40,16,12)c(24,32,20)t(24,32,28)*+-
c(32,32,20)s(32,40,20)s(24,32,28)c(32,24,20)**-
t(32,48,28)t(24,40,28)s(32,40,20)+c(24,32,20)*-
c(32,40,20)c(16,16,12)+s(32,16,20)-s(40,48,12)-
s(16,40,20)s(24,40,28)c(32,24,20)c(40,32,20)**-
t(32,40,12)c(32,24,12)s(48,24,12)+c(40,32,12)-+
s(40,40,28)s(48,16,20)t(24,40,20)+s(24,8,12)+-
s(16,40,20)s(16,32,20)s(24,16,20)-*t(24,32,28)*
s(48,24,20)s(24,32,28)+c(24,24,12)s(48,8,12)+*
s(40,48,20)t(32,40,20)s(16,40,20)+c(40,24,12)++
t(48,48,12)s(24,24,28)s(32,40,28)c(24,24,12)-*+
c(40,40,20)t(40,56,12)t(32,40,28)+t(40,40,20)--
t(24,48,28)s(16,40,20)s(16,32,20)*+s(16,48,12)-
c(16,16,12)s(32,48,12)+s(16,32,20)s(32,32,20)+-
c(32,24,20)s(40,40,20)c(24,32,20)*t(48,24,12)+-
s(32,32,28)t(40,24,20)*s(48,40,20)+c(24,24,12)+
s(40,40,28)t(24,48,12)-s(32,16,20)s(32,24,20)*+
t(24,48,28)t(24,32,28)-s(40,32,28)c(32,24,20)--
s(24,40,20)c(48,48,12)s(24,32,20)s(24,16,20)++*
t(32,48,20)s(48,16,12)+s(40,24,12)-t(32,32,28)-
s(24,48,20)t(24,40,12)-s(32,16,20)s(48,32,20)-+
c(40,16,12)s(40,40,20)c(32,40,20)*s(32,32,20)*+
s(32,48,12)t(16,48,12)t(32,48,12)c(48,24,12)+++
t(48,16,12)t(24,40,20)+c(16,32,12)+c(40,40,20)-
s(40,48,20)c(32,40,20)c(32,32,12)-+s(32,40,12)-
s(40,40,28)s(48,32,20)t(32,24,20)-t(24,40,28)-*
s(40,48,12)t(24,40,20)c(48,32,12)++s(32,40,20)*
s(16,24,20)s(24,16,20)s(16,8,12)s(24,48,12)++*
s(32,48,20)s(32,8,12)+c(24,32,20)*t(16,48,12)+
t(24,48,20)s(32,32,20)c(24,40,20)c(16,40,12)-*-
s(40,48,12)c(48,24,12)+s(24,32,28)s(40,32,20)*-
s(24,24,20)c(32,32,20)+s(16,24,12)-t(24,32,20)-
s(40,40,20)t(48,48,12)-s(32,40,20)*c(48,40,12)-
s(16,32,20)c(24,32,20)s(48,16,20)-s(40,48,12)+*
c(40,24,12)s(24,8,12)+t(24,40,12)+s(24,40,12)-
c(32,24,12)s(24,48,20)+s(32,40,28)t(32,40,20)-*
s(24,32,28)c(40,40,20)s(32,40,28)**s(24,24,28)*
s(24,32,20)s(40,32,28)s(48,32,20)-s(8,40,12)+*
s(24,16,20)c(32,32,28)*t(32,48,20)t(32,40,28)+-
c(24,24,20)s(24,16,20)c(24,40,12)s(24,16,12)+--
c(40,32,20)c(40,48,12)c(24,48,12)+t(24,32,28)+*
t(24,16,12)s(8,24,12)+t(16,32,12)-s(16,32,20)+
t(32,32,28)c(24,40,20)s(32,40,28)**t(40,40,20)-
s(48,32,20)t(48,32,12)c(24,48,12)+-t(48,56,12)+
s(48,48,20)s(40,16,20)+c(32,40,20)c(32,24,20)--
t(32,32,28)c(32,24,20)c(40,24,20)+s(48,32,20)-*
s(24,24,28)c(32,48,12)s(16,48,12)s(24,16,12)++*
s(48,24,20)t(16,48,12)s(16,32,12)+s(40,16,12)++
s(40,40,20)s(32,40,12)t(24,24,12)s(40,24,20)++*
s(24,24,20)t(24,32,28)s(32,32,20)s(40,40,28)*--
s(16,48,12)c(24,24,20)t(40,40,20)-+t(48,32,12)+
s(24,24,20)c(24,24,12)s(16,16,12)+*s(16,24,20)*
s(16,24,20)s(32,40,28)+t(24,32,28)s(16,40,20)*-
s(24,40,20)s(24,8,12)+s(24,32,20)t(16,24,12)-*
s(32,32,20)t(24,40,12)s(16,24,20)++c(32,24,20)*
s(24,16,20)s(32,16,20)*c(32,32,28)*s(8,32,12)+
c(40,40,20)s(24,32,28)c(32,40,20)**c(16,40,12)-
c(40,24,12)s(32,32,28)s(24,32,28)*+t(40,40,20)-
s(32,40,28)s(32,32,28)*s(48,24,20)-s(24,48,20)-
t(24,56,12)s(24,40,20)t(24,40,28)*c(16,40,12)-+
t(24,32,20)c(40,40,20)s(32,24,28)*c(40,24,20)*+
t(24,40,20)s(24,40,28)c(40,32,20)s(32,24,20)*-*
s(24,16,20)c(32,24,12)-t(32,40,20)c(48,48,12)-+
s(40,40,12)c(40,16,12)+t(32,32,20)-c(16,48,12)+
s(40,32,20)s(40,32,28)c(24,40,20)**s(48,48,12)+
s(16,32,20)c(24,40,20)s(32,40,12)-t(40,48,20)-*
s(40,32,28)t(24,48,28)-s(40,16,20)s(32,32,12)+*
s(32,24,28)c(24,32,20)c(16,40,12)-c(32,16,12)-*
t(32,32,12)s(40,24,28)c(40,32,20)*s(40,48,20)-+
s(24,48,20)s(24,24,28)s(48,40,20)-+s(32,48,20)*
t(24,32,28)s(32,32,12)s(40,24,12)+-c(24,24,20)*
s(40,24,28)t(40,32,12)-s(40,32,28)*c(32,24,12)-
c(24,48,12)c(16,32,12)t(32,32,20)++t(32,40,28)*
c(40,32,20)t(48,56,12)s(16,16,12)++t(40,32,12)-
c(40,32,20)s(40,16,20)c(32,24,20)*s(40,24,20)**
s(48,32,20)s(40,40,20)+t(24,56,12)+s(40,24,28)*
s(32,40,28)s(24,40,28)s(24,32,28)c(24,24,20)--*
s(40,24,28)c(40,32,12)t(40,56,12)s(24,32,12)++*
s(16,48,12)t(24,32,28)t(40,24,12)++t(32,32,28)*
c(32,32,28)s(40,32,12)-s(16,48,20)*t(40,48,20)-
s(24,40,20)c(24,32,20)c(16,32,12)-t(32,40,12)-+
t(32,56,12)t(40,32,20)c(16,48,12)c(40,32,12)+++
s(40,32,28)s(16,24,12)+s(40,40,20)s(24,40,20)+*
s(32,24,28)t(24,40,28)s(32,24,28)t(40,16,12)-*-
s(40,16,20)t(16,40,12)+s(48,24,20)s(40,8,12)--
t(32,48,28)s(32,24,20)-t(16,24,12)+s(8,8,12)+
c(24,32,20)c(40,40,12)t(16,40,12)+t(32,40,20)+*
c(24,24,12)s(32,24,20)s(40,32,20)*+c(24,32,12)-
c(32,24,20)c(32,32,20)t(24,56,12)t(24,40,28)+**
s(24,24,28)t(48,40,12)c(24,32,12)+*t(24,32,20)*
c(32,32,20)t(48,24,12)-c(48,24,12)t(24,32,20)+-
s(40,48,20)s(32,24,28)t(24,32,28)*-t(32,32,20)+
t(40,24,20)c(40,40,20)+s(24,48,12)-t(24,32,28)-
c(32,32,20)c(32,40,20)+c(24,32,20)s(16,48,20)-*
c(40,16,12)c(24,40,12)+t(32,40,12)s(16,24,20)+-
s(24,32,20)c(24,48,12)-s(32,24,28)*t(24,32,20)*
s(40,40,28)c(32,32,20)s(48,24,12)--s(40,32,12)+
t(16,32,12)s(48,40,20)+s(48,8,12)s(32,32,28)+*
t(24,48,28)t(24,40,12)t(40,24,20)++s(40,40,28)*
s(48,40,12)s(32,40,28)t(24,32,28)s(40,48,20)-*+
c(48,40,12)t(40,56,12)s(16,40,20)++t(32,48,28)*
c(32,32,28)c(32,24,20)-c(24,48,12)c(16,40,12)+*
t(24,48,28)c(24,32,20)s(24,24,28)*-t(16,56,12)-
c(24,32,20)s(32,32,20)*c(48,40,12)-c(24,40,12)+
s(24,40,28)c(32,40,20)s(48,32,12)--s(32,24,20)+
c(40,40,20)s(24,32,20)c(48,24,12)t(32,40,28)+*-
t(32,40,28)c(32,24,12)-c(24,32,20)s(32,32,28)**
s(24,40,28)s(16,24,20)-s(40,24,28)s(40,32,28)*-
s(24,48,20)t(24,32,20)-c(40,32,20)+s(32,24,28)*
c(40,32,20)c(32,32,20)s(32,24,20)c(40,24,20)*-+
t(24,40,28)s(24,24,28)s(32,32,28)t(32,16,12)-**
t(32,32,28)c(48,24,12)+s(40,24,28)*t(32,48,28)+
c(40,32,20)s(16,8,12)c(32,24,20)s(24,40,12)-+-
c(32,24,20)c(40,16,12)-t(40,16,12)+s(24,16,20)-
s(48,40,20)s(48,48,12)s(24,16,20)+c(32,24,20)--
s(32,32,28)t(32,24,20)c(24,16,12)+*c(16,16,12)-
s(48,16,20)s(24,32,28)-c(48,40,12)c(32,40,12)++
s(24,40,20)t(32,40,28)t(24,40,20)*t(24,24,12)+*
s(40,32,28)s(32,8,12)t(48,48,12)+s(40,16,12)--
c(24,32,20)c(48,40,12)c(24,32,20)s(24,40,12)-++
s(24,32,28)s(24,24,28)s(16,32,12)-*s(48,24,20)-
t(32,32,28)s(32,32,20)c(32,24,20)*s(32,32,12)--
c(24,40,20)s(32,8,12)s(16,48,12)++s(48,40,20)-
t(32,32,20)t(32,24,12)s(40,8,12)++s(40,40,28)*
s(48,40,12)c(48,16,12)+s(40,32,28)s(32,32,28)**
s(24,40,28)t(32,48,12)s(24,24,20)+*s(32,40,12)+
s(40,40,28)c(32,40,20)*t(40,32,20)-t(24,32,20)+
s(32,24,12)t(32,40,28)c(24,32,20)*s(32,16,12)-+
c(40,32,20)s(16,48,20)s(32,40,28)t(24,32,20)-+*
t(40,48,12)t(16,24,12)c(16,40,12)t(48,48,12)+++
s(40,32,20)s(24,40,20)+s(24,48,20)t(32,48,28)**
c(40,32,20)c(32,24,20)+s(32,24,28)*s(16,32,12)-
c(40,40,12)t(24,32,28)+c(32,48,12)+t(32,48,20)-
c(24,32,20)s(24,48,12)s(16,32,20)s(24,48,20)-+*
t(24,40,20)s(40,24,12)s(16,24,20)++s(40,32,28)*
c(16,32,12)t(40,32,12)+t(24,32,28)c(48,40,12)+*
c(32,32,28)t(24,32,28)s(24,24,20)*-s(24,24,20)-
s(24,24,20)s(24,32,20)t(16,16,12)-+s(8,40,12)-
t(32,24,20)s(48,16,12)s(24,48,20)++s(40,32,20)*
c(32,24,12)s(48,32,20)t(32,32,28)*+t(32,16,12)-
s(24,48,12)s(40,24,12)+s(40,24,20)s(24,40,12)+*
s(32,24,28)s(24,32,28)*c(40,24,20)*s(48,32,12)-
s(40,32,20)c(40,32,12)s(32,48,12)+s(32,32,28)**
s(16,24,20)t(24,24,20)*s(16,48,20)+s(32,32,20)*
t(24,24,12)s(24,24,20)c(24,40,20)*+t(16,24,12)-
s(40,32,20)c(32,24,20)*c(24,32,20)t(16,24,12)-*
s(16,24,20)s(8,48,12)t(32,40,28)+-s(8,24,12)-
s(24,32,20)s(24,40,20)s(48,24,20)+t(24,24,20)--
t(32,48,20)c(40,40,20)t(24,40,12)-+s(32,32,20)*
c(24,24,20)t(32,48,12)+s(8,40,12)s(48,16,20)+-
c(40,24,20)c(32,40,20)s(32,24,20)+s(48,32,12)-*
c(32,24,20)c(40,32,20)s(32,32,28)*c(40,48,12)+*
t(32,56,12)c(32,24,20)s(24,32,28)c(24,24,20)*-+
t(32,32,28)t(40,40,20)t(24,48,20)t(40,48,12)++*
s(32,32,20)c(32,32,28)s(32,32,12)s(16,32,20)+**
s(48,48,12)t(32,32,20)+s(16,16,12)+s(40,40,20)*
t(32,40,28)c(40,40,20)t(32,32,28)-+s(8,24,12)+
s(32,40,20)c(16,40,12)c(16,32,12)+-c(48,32,12)+
c(32,24,20)s(32,40,28)c(40,32,20)+*s(32,40,20)*
c(24,40,20)c(40,40,20)+s(32,24,20)c(32,24,12)--
s(40,40,12)s(16,48,12)+s(24,48,20)s(40,40,20)-+
t(40,32,20)t(40,24,20)c(48,40,12)+s(32,32,20)--
s(32,16,20)c(24,24,20)*s(48,48,12)+s(40,16,20)*
c(24,32,20)s(40,32,28)s(32,16,20)s(8,24,12)+*-
s(32,32,28)s(24,32,20)c(40,24,12)-t(48,32,12)+*
s(32,40,20)t(24,32,28)s(8,40,12)-s(24,24,20)*+
c(24,40,20)c(24,40,12)s(32,48,12)c(48,16,12)+++
t(40,24,12)s(24,24,20)t(32,40,28)+t(40,40,20)*+
t(24,40,28)s(24,24,20)+c(24,16,12)-s(32,40,20)*
c(48,48,12)s(48,8,12)t(24,40,28)+c(32,16,12)-+
s(16,32,12)c(40,32,12)+c(32,16,12)+s(16,32,20)+
s(32,16,20)s(16,16,12)-s(24,40,20)+t(40,32,20)-
s(48,48,20)c(48,40,12)t(24,48,28)t(24,40,28)*+*
s(40,8,12)t(32,24,12)+s(32,32,28)c(24,24,20)*+
c(40,32,20)s(24,32,28)*c(40,40,20)*t(32,40,20)*
c(40,40,20)c(24,24,12)c(40,24,20)+c(32,32,20)-+
t(24,48,28)s(48,32,20)s(24,48,20)t(32,40,12)-+*
s(32,8,12)s(16,48,12)+c(40,40,20)c(32,24,20)*+
c(24,32,20)t(40,40,20)t(24,24,12)+t(48,56,12)+*
s(40,32,20)t(32,32,28)s(16,40,20)-*t(24,40,20)+
t(24,48,28)s(40,24,20)+c(32,16,12)s(32,48,20)+-
t(24,24,20)s(32,40,28)+s(40,40,28)*s(40,48,12)-
t(16,32,12)t(40,56,12)+c(24,40,20)+s(40,40,20)-
s(32,48,20)s(24,32,28)s(16,32,12)-t(24,40,20)*-
s(40,40,28)s(8,16,12)t(24,40,28)+c(16,48,12)--
s(24,40,28)s(16,16,20)c(16,32,12)-+c(32,32,28)*
t(24,48,28)s(32,48,20)+s(24,32,28)*s(16,40,20)*
c(24,40,20)s(48,32,12)s(24,16,12)++t(40,16,12)+
s(16,48,20)c(40,16,12)s(24,40,20)+s(24,32,28)*-
s(24,32,28)t(48,16,12)+s(16,48,12)s(16,32,20)+*
c(32,32,12)s(40,24,20)s(16,24,20)-+s(24,32,12)+
s(40,48,20)t(40,32,12)+s(32,32,20)+s(40,24,20)*
s(40,48,20)t(48,40,12)-s(8,32,12)c(24,32,12)+-
c(32,24,20)t(24,24,20)t(32,40,20)+s(8,32,12)+*
c(24,40,12)s(40,40,20)+c(24,40,20)t(32,24,12)-*
c(40,40,20)c(24,48,12)-t(32,24,12)-t(32,48,28)*
t(24,40,20)s(24,24,28)c(40,16,12)-s(32,40,20)+*
s(48,24,20)c(32,32,20)t(24,40,28)t(40,40,12)---
c(24,40,20)c(32,40,20)t(24,32,20)*-s(40,24,12)+
s(24,40,28)t(24,40,28)s(8,24,12)c(40,40,20)+*-
t(24,40,28)s(32,24,28)c(40,32,12)s(16,48,20)+*-
s(24,48,12)t(24,32,28)t(16,32,12)-+s(40,16,20)-
s(32,24,20)s(40,32,20)s(48,16,20)c(24,24,12)+*+
c(32,40,20)c(24,32,20)c(32,40,12)--t(32,48,20)*
t(32,48,12)s(8,48,12)+s(40,40,28)+s(24,48,20)*
c(32,24,20)c(48,32,12)+s(24,24,28)*t(32,56,12)+
c(24,40,20)c(16,24,12)s(32,8,12)+s(40,40,12)+*
s(40,24,20)c(24,40,20)+c(32,32,20)t(48,56,12)+*
s(16,48,20)s(40,40,20)+s(24,24,12)+c(32,32,20)*
t(32,48,20)c(24,40,20)s(32,40,12)-s(16,32,20)*+
s(40,24,20)s(32,32,28)c(24,40,12)-s(24,32,28)**
s(32,32,20)s(32,48,20)s(16,48,20)*-c(32,40,20)*
c(32,48,12)s(48,32,20)s(32,40,28)*s(32,48,12)-+
s(16,24,12)t(32,56,12)+s(32,16,20)c(40,32,12)--
s(48,24,20)s(48,16,20)s(48,16,12)-s(16,48,20)+-
s(32,32,28)s(16,48,20)-s(32,16,12)-c(32,40,12)-
c(32,32,28)c(32,48,12)-s(32,24,28)+c(32,40,20)*
s(40,32,20)s(24,32,28)s(40,24,20)**t(40,40,20)+
t(24,56,12)t(40,40,20)+s(8,24,12)+c(40,32,20)+
c(16,48,12)s(32,32,28)+s(24,24,28)-s(16,40,12)-
s(8,16,12)s(32,32,28)t(40,32,12)-t(24,40,28)*+
c(24,16,12)s(24,40,28)c(40,16,12)++s(48,40,20)-
s(32,24,20)t(40,32,20)-s(40,32,20)s(48,48,20)++
s(40,40,20)s(40,48,20)*t(48,32,12)-s(48,16,12)+
t(48,40,12)c(16,16,12)+c(32,40,12)+s(32,24,20)-
s(40,16,20)t(32,48,20)+s(40,32,28)t(16,40,12)+*
c(40,32,20)t(24,32,28)t(24,16,12)-t(40,32,20)+*
c(32,40,20)c(48,32,12)+t(40,32,20)s(16,48,20)-*
c(32,24,20)s(24,40,28)*s(32,40,28)s(24,40,12)-*
s(24,24,20)s(40,16,20)c(24,16,12)-s(32,40,28)+*
t(32,40,28)s(40,40,28)c(40,48,12)-+s(32,24,20)*
t(48,16,12)s(40,40,28)c(32,24,20)*+t(32,40,28)*
s(32,16,12)s(24,40,20)+t(32,48,12)-c(32,24,20)*
s(16,16,20)c(40,40,12)+c(16,24,12)s(40,40,28)+*
s(24,16,12)s(16,32,20)s(32,24,20)-s(16,48,20)++
s(32,24,20)s(40,40,28)t(24,48,12)s(16,48,12)+-*
c(40,24,20)s(40,24,20)s(40,32,28)s(48,40,20)-+*
s(40,32,20)c(32,32,20)+c(32,48,12)+t(24,40,12)-
s(16,40,20)c(24,40,20)t(24,48,20)c(32,40,20)*-+
t(32,24,12)c(32,32,28)t(16,24,12)s(16,48,20)+*+
c(40,48,12)c(40,32,20)s(40,40,28)s(40,24,28)--+
s(24,32,20)c(32,48,12)c(40,32,12)+t(32,48,12)--
t(32,32,20)s(16,48,20)s(32,24,20)+*s(32,48,12)+
s(24,24,28)s(32,24,28)*c(32,24,20)t(32,32,12)-*
s(24,32,28)c(48,40,12)t(24,48,20)+s(40,32,12)+-
t(24,40,20)t(24,48,28)t(40,48,20)-*s(48,40,12)+
s(32,48,20)s(24,40,28)c(24,32,20)t(24,40,12)--*
s(40,40,20)s(8,40,12)+t(40,48,12)-s(40,24,20)*
s(32,24,20)c(40,40,12)-t(24,16,12)-s(16,24,20)+
s(32,32,28)s(40,24,28)*s(32,16,12)t(24,32,20)+*
s(32,40,20)s(32,32,20)c(48,24,12)-*c(40,40,20)*
s(32,32,28)s(40,40,28)t(32,40,28)*c(16,48,12)-*
s(16,24,20)s(32,32,28)c(48,32,12)-*s(48,32,12)+
s(40,40,28)t(40,24,20)t(24,56,12)s(40,32,20)+*-
s(24,32,28)t(48,16,12)+c(24,32,12)-s(24,32,20)*
s(40,32,28)s(40,16,12)-t(24,48,20)-c(40,48,12)-
s(32,40,28)c(24,24,20)s(32,40,28)-+s(48,32,20)-
s(32,24,28)t(48,16,12)s(32,32,20)+s(16,32,20)-*
s(40,16,20)t(32,40,28)t(32,16,12)c(16,40,12)++-
c(24,24,20)s(40,24,12)c(24,40,20)c(32,32,20)*+*
t(32,40,28)s(32,32,28)c(48,48,12)-c(40,32,20)*-
s(48,40,20)s(48,16,20)s(32,24,28)+t(24,32,28)*-
s(24,32,28)s(32,24,20)*c(48,16,12)c(32,24,12)++
s(48,24,20)s(48,8,12)-s(32,16,20)c(32,32,28)*+
s(32,40,28)c(24,48,12)t(32,48,12)+-s(32,24,28)*
c(16,16,12)s(32,24,28)c(24,24,20)*+c(16,24,12)-
c(40,24,20)s(32,40,28)t(16,40,12)-c(32,24,20)**
c(32,40,20)c(48,40,12)+s(40,48,20)*t(40,32,12)-
s(24,32,20)c(24,24,20)t(32,24,12)-t(16,56,12)++
s(24,16,20)c(40,24,12)-t(32,40,28)c(32,40,20)++
s(24,32,28)s(40,48,12)-s(32,32,20)t(24,24,20)+*
s(32,40,28)c(40,32,20)*c(40,32,12)s(32,24,20)+*
t(32,48,28)s(32,32,20)c(24,48,12)+s(16,24,12)+*
s(24,32,28)s(32,32,20)-t(32,32,20)s(16,48,12)+-
t(48,16,12)s(24,24,28)+t(40,48,20)+c(16,32,12)-
s(48,24,20)s(24,32,20)-t(40,32,20)s(32,48,12)--
s(32,32,28)s(48,40,12)-t(32,40,28)*c(24,32,20)*
s(40,24,28)c(32,24,20)*s(40,16,20)*s(24,40,20)-
s(48,40,20)c(24,32,20)+s(32,24,28)-t(24,48,28)-
c(32,32,12)s(16,48,20)s(48,32,20)s(48,16,20)*++
t(32,48,20)c(32,40,20)t(16,48,12)-s(40,32,20)*+
s(32,48,20)t(24,48,20)s(16,48,20)+t(48,24,12)+*
t(24,48,28)t(32,32,20)+s(24,40,20)*t(32,32,28)*
s(32,8,12)s(8,24,12)+t(16,16,12)t(32,24,12)+-
s(24,40,20)s(40,40,28)s(48,48,20)-s(8,8,12)+-
t(48,32,12)c(24,32,20)+t(24,24,12)-s(8,40,12)-
t(24,16,12)c(40,32,20)s(24,24,28)s(40,40,12)-*+
c(24,40,20)s(24,32,28)+s(32,48,20)-c(24,40,20)*
t(32,40,20)t(32,48,12)+s(40,24,20)t(48,16,12)--
s(24,40,20)t(32,16,12)+s(40,24,28)s(48,32,12)--
s(40,40,28)s(32,40,20)c(24,24,20)c(32,32,20)*--
t(24,48,28)t(32,32,28)s(40,32,20)t(40,40,20)*-+
s(40,24,20)s(24,24,12)+s(48,40,20)-s(32,24,12)-
s(40,40,28)s(16,48,12)c(40,40,20)+s(48,48,20)-*
s(16,32,20)t(32,40,28)s(32,32,28)*c(32,32,20)*-
s(48,24,20)s(48,32,20)s(16,48,20)t(48,32,12)++*
s(24,32,28)t(40,32,12)-s(48,40,20)+t(24,40,28)*
s(48,32,20)c(32,32,28)*s(16,40,20)s(40,40,20)++
s(16,32,20)t(32,40,20)t(24,32,12)--t(24,16,12)-
s(40,24,28)t(24,40,20)+t(40,32,20)-s(24,16,20)-
s(24,24,28)c(32,24,20)s(24,24,28)s(16,40,20)*-+
c(24,40,20)s(40,48,20)t(32,32,28)-+t(32,40,28)*
s(40,24,20)s(40,32,20)s(40,40,20)*t(24,40,12)++
s(24,32,28)c(32,32,28)s(24,40,28)**c(24,24,20)*
s(48,24,20)s(32,32,28)*c(48,16,12)+c(24,24,20)+
s(8,24,12)c(24,32,20)+s(24,48,20)*c(32,40,12)+
t(32,48,28)c(16,16,12)t(24,40,28)+s(8,40,12)-*
s(24,32,20)s(48,48,12)t(24,56,12)t(24,32,28)++*
c(40,32,12)s(40,48,20)c(40,40,20)*c(24,40,12)-+
t(32,40,28)s(40,48,20)+c(24,40,20)+s(40,32,20)-
s(16,16,20)s(32,24,20)s(24,8,12)--s(24,24,28)*
t(32,48,28)s(32,24,28)-c(40,24,20)+c(16,48,12)-
t(24,32,28)t(32,24,20)c(24,40,20)+*c(40,32,20)+
t(32,40,28)s(40,16,12)+c(24,40,20)*c(24,32,12)-
c(32,32,20)c(48,40,12)-s(48,16,20)+t(40,24,20)*
t(40,32,12)t(24,32,28)t(32,32,12)-s(32,24,20)-+
s(40,32,28)s(48,32,20)-s(40,40,20)-s(8,40,12)+
s(40,40,20)s(48,32,12)s(32,48,20)+s(40,48,12)-*
s(32,24,28)s(16,16,20)-s(48,32,20)*t(40,32,20)*
c(24,40,20)s(24,24,28)t(32,48,28)-t(48,56,12)+*
s(16,16,20)c(32,24,12)+s(24,32,28)*c(32,40,20)+
c(32,32,20)s(32,24,28)*t(40,48,20)-s(24,40,20)*
t(24,24,20)s(48,40,20)-t(48,48,12)+s(24,48,12)+
c(40,32,20)s(24,40,20)t(40,40,12)+c(32,24,12)--
s(32,16,20)s(24,32,20)t(32,32,28)*c(40,32,12)-+
s(24,40,28)s(32,48,12)-s(24,24,28)*t(32,40,12)+
s(24,40,28)c(24,24,20)*c(32,24,20)+s(16,40,12)-
s(24,40,28)s(24,24,20)c(32,24,12)-c(40,32,20)-+
s(32,24,20)s(24,24,20)*s(40,8,12)+s(32,40,28)-
s(24,40,28)t(24,40,28)t(16,16,12)t(40,56,12)++*
s(40,48,20)s(24,32,20)s(8,40,12)-c(40,24,20)*+
t(32,24,20)s(40,40,12)-c(48,32,12)s(32,16,20)+*
s(16,8,12)c(32,24,20)+c(40,40,20)t(32,32,28)+*
s(40,24,28)s(40,32,12)-t(24,32,28)c(16,48,12)+*
s(16,48,20)t(24,48,28)s(48,16,20)+*t(40,56,12)+
s(48,40,12)s(48,24,20)s(40,16,20)t(24,24,12)--+
s(24,32,28)s(16,8,12)+c(40,24,20)s(48,24,20)+*
t(24,32,28)s(40,40,28)c(40,32,20)*s(8,16,12)+*
s(40,16,20)t(48,24,12)t(48,48,12)s(32,16,12)++*
s(32,16,20)s(32,24,12)-s(40,16,12)-s(40,24,28)+
t(32,40,28)s(48,24,20)s(32,24,12)s(48,24,12)+*-
s(48,48,20)s(24,32,28)+t(24,24,20)s(48,16,12)+*
s(32,24,28)s(16,32,20)s(32,40,28)**s(48,24,20)+
s(16,24,20)t(16,24,12)t(32,24,20)+c(16,32,12)--
s(16,16,20)c(24,32,20)-t(24,16,12)t(48,32,12)++
t(40,48,12)s(24,16,20)s(32,24,20)*+t(40,32,20)+
t(32,32,20)t(24,32,28)t(32,32,28)*c(24,24,20)**
s(24,32,28)s(32,40,20)s(16,32,20)++t(40,24,20)-
s(24,32,20)s(48,24,20)t(40,24,20)s(32,40,28)+*-
t(24,32,28)s(24,40,20)t(40,40,20)-t(32,40,28)++
s(24,16,20)c(40,40,20)+s(24,32,20)t(32,40,12)-*
c(32,32,20)s(24,24,20)s(16,32,20)c(32,32,20)---
s(32,24,28)t(32,48,20)+t(24,16,12)-s(40,24,20)-
c(40,24,12)t(32,40,28)t(32,32,28)*+s(32,32,20)*
s(40,24,20)t(32,48,28)-s(32,32,28)s(40,24,28)*+
s(16,32,20)s(32,32,20)s(32,32,28)c(40,32,20)**-
c(32,40,20)s(8,24,12)s(48,48,20)++s(24,48,20)*
s(48,40,20)s(40,16,20)-s(48,16,20)+s(48,48,20)*
s(24,32,28)s(48,16,20)t(32,32,20)+s(16,24,12)+*
c(24,40,20)s(32,24,20)s(40,48,20)--t(32,32,28)+
c(32,24,20)t(32,40,20)s(32,16,12)s(16,32,20)++*
s(16,48,12)s(24,24,20)s(24,40,12)-s(32,32,12)-+
t(24,48,28)s(40,24,28)s(32,24,28)*t(32,40,20)-+
c(24,32,20)s(32,32,20)c(16,24,12)+s(32,24,20)**
s(32,32,20)s(16,40,12)-t(40,32,20)*s(32,16,12)+
t(32,40,28)s(24,24,12)+c(16,16,12)s(24,32,20)+-
c(32,40,20)s(40,48,12)-c(40,40,12)t(16,40,12)+-
s(24,24,28)s(48,40,20)t(48,40,12)--s(32,32,28)*
t(32,32,20)t(24,40,28)s(24,40,28)s(16,40,12)-+*
t(32,32,28)c(24,40,20)t(24,48,12)-+s(32,32,28)*
s(32,16,12)t(24,40,20)+s(24,40,28)c(24,32,20)+*
c(48,32,12)s(24,24,28)+c(48,40,12)-t(48,32,12)+
s(24,40,20)t(32,48,20)+c(24,40,20)s(24,24,20)**
t(32,48,28)t(24,48,28)t(40,16,12)+c(24,40,12)--
s(16,40,20)s(32,40,20)+c(16,40,12)-t(24,32,12)-
s(24,24,28)s(16,16,12)-s(48,40,20)s(40,24,20)-+
t(32,40,28)t(40,40,20)*c(48,16,12)+t(40,32,20)-
c(32,32,20)s(48,24,20)-s(48,48,20)-s(24,32,20)*
c(16,40,12)s(32,24,28)c(32,32,20)*+t(24,48,28)*
t(24,32,28)s(32,48,20)-s(24,24,20)*t(40,24,20)+
t(24,48,28)t(24,40,28)s(48,24,20)+*c(24,32,20)*
s(40,40,12)s(24,32,28)s(32,24,20)-t(32,32,28)-+
c(32,32,20)s(48,32,20)s(24,32,20)+c(40,24,20)**
s(40,16,20)c(40,48,12)+c(40,24,20)s(16,16,20)-*
t(24,48,20)c(16,32,12)c(32,32,20)+s(24,16,20)*+
s(16,16,20)s(24,48,12)c(16,24,12)t(40,32,12)++-
t(24,40,28)s(48,48,12)s(24,32,20)+c(24,40,20)*+
t(32,48,28)t(32,40,20)-s(32,32,12)+t(24,56,12)-
s(32,40,28)c(32,32,28)c(32,24,20)-s(48,24,20)-*
s(16,40,20)t(32,40,28)t(32,48,20)*s(48,48,12)+-
s(16,32,20)s(24,48,20)c(16,24,12)+c(40,32,20)-*
c(32,32,20)t(32,40,28)*s(16,24,12)+s(32,24,20)-
c(24,40,20)s(48,40,20)c(40,40,20)*+s(32,48,12)-
c(40,40,20)t(32,24,12)-s(32,40,28)t(32,32,28)**
s(24,32,12)s(24,48,12)+s(24,32,28)s(8,32,12)-*
c(24,48,12)s(8,40,12)s(32,32,20)+c(48,48,12)++
s(32,24,28)s(40,16,20)*t(24,24,12)c(40,16,12)+*
c(24,32,20)s(8,40,12)-t(16,24,12)t(16,40,12)+-
t(40,32,20)s(40,40,20)s(40,24,12)-+t(32,32,28)*
c(24,24,20)s(16,32,20)+s(32,16,12)s(32,40,28)+*
c(40,24,20)s(48,24,20)c(32,24,20)*c(24,32,12)+-
t(16,40,12)c(40,40,20)+s(40,40,12)t(24,48,20)+-
s(40,32,28)s(32,24,28)*s(24,32,28)*c(48,16,12)-
s(40,40,20)t(24,24,20)+s(40,32,28)*c(32,32,12)-
c(48,32,12)t(16,56,12)s(48,40,12)++t(24,48,28)-
s(32,40,28)t(40,56,12)s(24,48,20)t(40,40,12)+++
c(32,40,20)t(32,48,20)-c(24,24,20)*t(40,48,12)+
t(24,24,12)c(48,16,12)+c(24,48,12)s(48,24,12)+-
s(40,32,28)c(48,16,12)s(32,16,20)+s(24,32,28)**
s(40,24,12)c(16,40,12)s(48,32,20)t(40,32,12)-++
s(24,24,28)s(24,16,20)-s(32,32,20)t(24,32,12)--
s(48,24,20)s(24,24,28)c(32,24,20)+c(40,32,20)-+
t(40,40,20)s(24,24,28)+c(40,24,20)s(40,24,12)--
s(40,48,20)c(32,32,20)*c(40,32,20)s(40,24,20)-+
t(24,40,20)c(48,16,12)+c(24,48,12)-s(8,40,12)+
s(32,40,28)s(40,48,20)c(32,32,20)t(32,32,20)---
t(24,32,28)c(24,32,20)c(32,40,20)**s(16,32,12)-
s(32,40,28)s(8,48,12)c(24,24,20)+*c(48,24,12)-
c(32,24,20)s(16,24,20)s(32,24,20)s(40,16,20)*-+
t(24,40,28)s(16,32,12)t(24,16,12)+-c(32,40,12)-
s(40,16,12)c(40,32,12)+s(40,32,28)s(16,40,20)-*
s(24,24,28)c(32,40,12)-s(32,16,20)c(32,24,20)**
c(24,24,12)c(24,32,12)c(40,24,20)t(32,32,20)*++
t(40,56,12)t(32,48,20)+t(16,56,12)s(40,8,12)++
t(32,40,28)c(32,24,20)s(40,40,20)+t(32,48,12)-*
s(32,24,20)s(48,32,12)c(24,32,20)+*t(48,32,12)-
s(16,40,20)t(32,56,12)s(40,40,28)s(24,32,20)*+-
s(48,32,20)t(24,32,20)+c(32,40,20)*c(24,40,20)*
s(32,32,28)c(32,40,20)s(32,32,20)s(40,8,12)+*-
s(32,24,28)c(40,40,12)c(32,32,12)+t(32,32,20)+-
s(48,8,12)s(32,24,28)s(24,32,28)*c(32,16,12)++
s(32,40,28)t(24,48,28)c(40,32,20)s(24,24,12)--*
s(40,40,20)t(48,40,12)t(32,40,28)t(24,40,20)*+*
s(24,8,12)t(16,56,12)+s(8,40,12)+t(24,16,12)-
s(16,8,12)s(24,40,28)s(40,32,28)*t(24,40,28)*+
s(24,32,20)s(24,40,28)t(40,40,20)s(40,32,20)*-*
s(24,32,20)s(40,32,28)s(48,16,20)*+s(48,32,12)-
c(40,16,12)s(40,40,28)+t(24,40,28)*t(32,32,12)-
c(24,24,12)s(40,40,28)+s(48,48,20)*t(40,48,20)*
s(24,32,28)t(40,40,20)s(24,40,28)+*s(24,40,20)-
c(24,16,12)c(48,32,12)+s(32,24,12)s(32,16,12)+-
c(24,24,12)t(24,40,28)t(24,48,20)s(16,16,12)+*+
c(24,32,20)s(16,24,12)c(40,32,12)+s(24,40,28)*-
s(24,32,20)s(32,32,20)t(40,40,12)-*c(16,16,12)-
t(32,48,20)s(8,32,12)+c(48,48,12)s(24,24,28)++
s(24,32,28)c(16,32,12)-c(32,32,28)*s(48,32,20)-
s(24,32,28)c(40,32,12)-s(32,16,12)-s(32,48,12)-
s(32,32,28)s(48,16,20)s(48,40,20)--t(40,40,20)-
c(40,32,12)c(24,48,12)+s(32,48,20)t(48,16,12)+*
c(40,40,20)t(32,48,12)-t(16,24,12)+c(32,24,20)+
c(32,16,12)s(48,32,20)c(48,48,12)c(24,48,12)+++
c(40,40,20)s(48,48,20)c(16,16,12)t(48,32,12)++*
t(32,24,20)s(24,48,12)+s(40,16,12)-c(32,24,20)*
s(24,24,20)s(16,32,12)t(32,32,20)+*c(40,24,12)+
c(40,40,20)s(24,24,20)c(40,32,20)++c(24,32,20)*
s(16,24,20)c(16,40,12)-s(24,40,20)s(32,48,20)--
s(16,32,20)s(16,24,20)t(24,32,28)*c(40,16,12)+*
t(32,32,28)t(40,32,12)t(24,48,28)+c(16,48,12)-*
s(48,16,20)t(32,32,28)t(16,24,12)+-s(32,16,12)+
c(24,40,20)t(24,32,28)t(32,32,20)*s(48,8,12)++
s(48,24,12)t(32,32,28)s(32,40,20)s(24,48,20)*-+
s(40,16,20)s(32,32,20)s(24,48,12)c(48,16,12)++*
t(32,40,28)s(40,32,28)*t(32,32,28)c(24,24,12)-*
s(32,16,20)s(24,24,28)*s(40,24,28)*c(24,24,20)*
s(16,40,20)t(32,40,28)s(24,24,28)*s(8,24,12)+-
s(32,40,28)c(24,32,12)-t(24,32,28)c(48,16,12)+*
c(32,48,12)s(16,32,20)+s(24,32,20)s(48,40,20)+*
s(48,40,20)c(48,48,12)-t(40,24,12)t(32,24,12)+-
c(32,32,20)s(40,48,12)-s(40,40,20)t(32,40,20)+*
c(32,32,28)c(40,48,12)-c(32,40,20)c(32,32,12)--
c(24,40,20)s(32,40,20)t(24,32,20)+*s(24,24,28)+
s(32,32,28)s(40,24,20)s(24,32,28)*-s(24,32,28)*
s(8,24,12)c(24,32,12)+t(16,40,12)-t(32,40,20)-
s(40,24,28)s(32,32,28)s(48,24,20)+c(40,40,12)-*
c(32,32,12)s(32,32,28)c(40,40,20)-+t(24,48,20)-
s(24,40,28)c(16,40,12)-c(32,32,20)s(40,32,28)*-
s(24,16,12)t(48,16,12)+s(32,16,12)t(32,24,20)++
c(48,16,12)c(24,40,20)s(16,40,20)-+c(24,32,20)-
s(40,48,12)t(24,40,28)t(32,48,20)-+c(32,32,12)-
s(24,32,12)s(40,32,28)t(24,24,12)s(24,48,20)+-+
c(40,32,12)t(24,40,28)s(24,32,28)c(16,16,12)-*+
s(24,32,20)c(40,16,12)t(16,40,12)+t(48,16,12)--
s(24,32,28)s(24,40,12)-s(48,40,12)c(40,48,12)+-
t(40,48,12)t(16,16,12)c(48,24,12)++c(40,32,20)*
c(16,48,12)s(48,32,20)s(40,24,28)*+t(32,40,28)*
s(24,32,20)s(32,32,12)-s(32,48,20)c(16,40,12)--
t(24,40,28)s(8,32,12)t(48,48,12)+-c(16,24,12)+
s(40,48,20)s(32,48,20)*t(32,56,12)-s(24,16,12)+
s(16,48,20)t(32,32,28)s(32,40,20)*-t(32,56,12)-
t(40,32,20)c(16,32,12)+t(24,48,28)+c(32,40,20)*
t(24,32,28)s(24,32,28)s(24,16,20)s(24,8,12)--*
c(40,48,12)s(24,16,20)+t(24,24,12)-s(16,24,12)-
t(48,56,12)s(16,24,20)c(24,32,12)-+t(24,24,12)+
s(48,24,20)t(24,40,12)t(32,40,20)+-t(48,56,12)+
t(32,40,28)t(24,40,20)t(24,56,12)+c(32,40,12)-+
c(32,48,12)c(40,48,12)s(32,24,20)+s(40,48,12)-+
t(24,40,28)t(32,24,12)+s(32,40,20)c(24,24,12)-*
s(24,40,28)s(24,32,28)*s(40,48,20)s(32,16,20)+-
s(24,24,28)s(24,32,28)*c(32,24,20)*s(40,40,28)*
s(32,24,28)s(24,32,12)-s(40,24,20)t(32,24,12)-*
c(40,32,20)s(48,16,20)*c(24,32,20)t(40,32,12)-+
s(32,40,28)t(32,40,28)s(32,24,28)*-c(32,24,20)-
s(40,24,12)c(24,40,20)t(24,48,28)*s(40,40,20)-+
c(24,24,20)s(8,8,12)+c(16,16,12)c(48,48,12)+*
c(40,32,20)c(24,24,20)-s(32,24,28)c(24,32,20)*+
t(40,24,12)c(40,24,20)s(40,32,20)-+s(48,40,20)-
t(24,24,20)s(40,40,20)t(48,16,12)+s(24,48,20)-+
t(16,48,12)c(16,32,12)+s(40,32,28)s(32,32,12)--
s(32,32,20)t(40,48,20)s(8,48,12)+-s(24,32,20)*
c(40,48,12)s(32,24,20)+s(24,32,28)t(16,32,12)-*
s(32,24,28)s(32,16,20)s(32,24,12)-s(8,32,12)+-
t(48,16,12)s(24,40,20)+s(24,48,20)+c(32,40,20)*
s(24,32,20)c(40,24,20)*s(24,24,20)s(24,40,12)-+
s(32,24,28)t(32,24,12)-c(24,32,20)*c(16,16,12)+
s(32,32,28)s(40,24,28)*s(40,16,20)s(40,48,12)+*
t(24,48,28)s(8,32,12)s(32,48,20)s(32,40,20)*+*
s(32,32,28)c(48,16,12)-s(32,40,20)*t(32,32,20)+
s(32,40,20)t(24,32,28)s(16,16,20)-+s(48,16,12)+
t(24,32,28)c(40,24,12)-c(32,48,12)-c(24,32,20)*
c(32,24,20)t(48,24,12)s(24,32,28)+*s(40,40,20)-
s(40,32,20)s(48,48,12)-s(24,8,12)c(32,24,12)+-
s(24,48,20)c(40,32,20)s(16,16,20)+c(32,24,20)*-
s(24,16,12)t(32,40,28)s(48,24,20)+t(24,48,20)*+
s(16,8,12)t(48,48,12)+s(32,40,20)+t(32,48,12)-
s(40,32,28)t(32,24,20)t(32,48,12)+t(32,40,12)-*
s(24,40,20)s(16,24,20)+s(24,32,28)c(40,24,20)*-
s(24,40,28)c(32,32,20)c(32,24,20)c(16,32,12)--*
c(32,32,20)t(24,40,28)*t(32,24,20)t(24,48,20)+*
c(40,32,20)s(24,32,20)s(24,24,20)+*c(40,24,20)*
s(16,40,20)s(48,8,12)+s(40,32,20)+c(24,40,20)-
c(48,16,12)s(32,40,20)c(16,24,12)-t(24,24,20)++
s(32,32,20)s(24,48,20)s(16,32,12)+s(32,24,28)*-
t(32,32,28)s(48,32,12)+t(32,40,28)s(40,16,20)+*
t(16,24,12)c(40,32,20)s(24,40,28)s(24,40,12)-*+
s(32,40,28)c(48,24,12)-t(32,48,28)s(40,48,20)*-
s(32,40,28)s(32,32,28)s(24,48,12)-*t(40,24,20)-
c(40,40,20)t(48,40,12)-s(16,40,20)-t(24,32,28)-
s(32,16,20)t(40,16,12)s(24,32,20)+*s(8,8,12)+
s(40,48,20)s(40,40,28)s(16,48,20)+s(32,24,20)-*
s(32,40,20)s(40,32,28)s(24,24,20)-c(40,32,12)+*
c(24,32,20)s(32,32,20)s(40,32,20)t(24,56,12)+*-
t(40,40,20)t(48,32,12)-t(32,32,12)+s(40,32,12)-
t(32,40,20)s(24,32,20)+c(40,24,12)+s(32,24,20)*
c(24,32,12)s(32,24,20)s(24,8,12)-s(32,16,12)++
s(40,24,28)t(32,40,28)+c(32,32,12)-s(40,24,28)*
s(32,40,28)t(24,32,28)s(32,24,28)c(40,40,12)-*-
s(48,48,20)t(32,48,28)t(48,24,12)+s(24,32,20)--
c(24,32,20)c(32,32,28)s(32,16,20)c(24,24,20)+**
c(40,24,12)t(24,48,28)s(40,40,28)s(24,32,28)*-+
s(40,48,20)s(32,40,28)t(40,40,20)-s(8,8,12)+-
s(40,40,28)s(24,40,20)+c(40,24,20)*c(32,40,20)*
t(24,48,28)t(32,40,28)t(24,56,12)s(40,24,20)++*
s(32,40,28)s(32,48,20)c(24,24,20)s(16,48,20)-++
c(32,48,12)s(24,24,20)s(32,40,28)*+t(24,40,28)*
t(40,32,20)s(48,32,12)t(32,32,28)t(32,24,12)-++
c(40,32,20)s(40,40,28)*t(32,40,12)-c(32,24,12)-
c(24,32,20)c(24,16,12)s(32,24,20)+c(32,40,20)*-
t(48,56,12)s(8,48,12)s(32,24,20)+t(32,32,28)*+
s(32,32,28)s(40,40,28)s(16,24,20)-*s(48,24,12)-
t(16,16,12)c(48,48,12)+c(24,16,12)-c(32,48,12)-
t(24,32,28)s(40,24,12)c(24,32,20)++t(32,32,28)*
t(32,32,28)s(24,16,20)-t(32,40,20)+c(40,24,20)*
c(24,40,20)c(32,24,20)s(24,32,28)*s(40,40,28)*-
s(24,32,20)t(16,48,12)+c(32,16,12)-s(32,32,20)*
c(40,24,20)c(24,16,12)c(32,32,12)+s(40,16,12)+*
t(24,48,20)s(32,48,20)+s(32,48,12)-t(24,40,12)-
s(32,32,28)s(32,16,12)c(40,32,20)+c(16,16,12)+*
t(24,40,28)s(32,32,28)t(24,40,20)-t(40,32,12)-+
s(48,40,20)s(48,16,12)+s(48,32,20)s(24,24,20)--
c(32,24,20)s(40,24,20)*t(24,48,12)t(24,32,20)++
t(32,48,20)s(24,24,28)s(24,24,12)-t(32,32,28)*-
t(32,40,28)t(24,40,28)*s(40,40,20)t(32,48,28)**
c(24,24,12)s(24,32,28)s(24,32,20)s(24,40,20)*-+
s(40,40,20)s(16,16,20)+s(24,24,20)s(40,40,20)-+
c(40,40,20)s(32,48,20)*s(16,24,20)s(24,24,20)*+
c(16,16,12)c(40,24,20)s(40,40,28)s(24,40,20)-*+
t(32,32,28)t(32,48,20)-t(32,48,20)s(32,24,28)+*
s(48,24,20)s(40,32,20)+s(32,16,12)-s(32,24,20)+
s(48,40,12)c(32,40,20)s(24,32,20)*+c(40,48,12)-
c(24,24,20)t(24,16,12)-s(16,8,12)+s(32,24,20)+
c(40,40,20)c(24,40,20)s(24,48,12)s(24,32,20)+**
s(24,40,20)c(40,40,12)s(24,40,28)s(32,32,28)*+*
c(40,24,20)t(32,48,28)-s(40,32,28)s(48,24,12)-*
c(40,24,20)c(24,48,12)c(24,32,20)t(32,40,20)*++
t(16,56,12)c(32,40,12)s(32,8,12)+s(24,32,20)-+
t(32,24,20)s(32,32,20)*s(48,32,12)+t(24,40,20)-
s(40,16,20)s(24,40,28)+s(24,24,28)t(32,32,28)*-
s(32,32,28)c(32,40,20)t(24,48,12)s(32,16,20)+*-
s(16,8,12)s(40,16,20)s(40,24,12)-+s(24,24,28)*
s(48,40,20)t(40,24,20)s(16,24,12)+c(24,32,20)+-
c(32,24,20)c(16,24,12)s(48,16,12)+t(40,24,20)--
c(40,32,20)c(48,48,12)s(40,32,20)+t(32,24,12)--
t(40,48,20)c(32,32,20)t(24,40,28)*t(24,48,12)-+
t(24,24,12)s(48,8,12)+c(24,32,20)s(40,40,28)-+
s(40,32,28)t(32,48,28)s(24,32,20)--t(32,32,28)+
s(32,40,20)t(24,48,28)*s(16,48,20)+t(32,48,20)*
t(32,32,28)s(24,32,28)*s(16,40,12)s(32,24,20)+*
t(32,32,28)s(24,24,12)c(24,16,12)+-s(24,40,20)*
t(40,32,20)s(32,24,12)+s(32,40,12)+s(48,40,20)*
s(24,40,28)t(24,48,12)t(24,24,20)+*s(32,40,12)-
t(32,32,28)s(40,16,20)s(24,16,20)c(24,32,20)*--
c(32,32,28)t(24,32,20)-s(16,24,20)+s(32,40,20)*
t(32,32,20)c(40,32,20)c(32,40,20)**s(32,16,20)+
t(24,48,28)t(32,48,28)c(40,24,20)s(16,24,20)--+
s(40,48,20)s(32,40,28)c(16,24,12)c(24,32,12)+-*
s(32,32,28)c(40,40,20)-c(48,32,12)+s(40,32,28)*
s(40,32,20)s(24,24,20)s(40,24,28)s(48,32,20)-*-
s(32,32,20)t(32,32,28)t(32,40,12)-s(16,16,20)-*
s(48,48,20)t(24,40,28)s(32,48,12)--s(40,24,28)-
t(32,40,28)s(16,48,20)-t(32,56,12)c(32,32,20)+*
t(32,32,28)s(24,16,20)c(40,32,20)-s(32,24,28)*-
s(32,16,20)s(40,40,12)+c(32,32,28)*s(32,24,20)*
s(32,48,20)s(32,32,20)s(16,48,12)+*t(16,32,12)-
t(40,48,20)c(32,40,12)+t(32,48,20)*t(32,32,12)-
c(40,32,20)t(24,32,28)+s(24,48,20)s(40,48,12)+*
s(48,40,20)s(40,24,20)+s(32,16,20)*c(40,40,20)+
s(16,32,20)c(24,48,12)-t(24,48,12)c(24,24,12)+-
s(24,48,12)s(32,32,28)s(40,40,20)-s(24,40,28)*+
s(40,32,28)s(32,32,20)-s(48,40,20)*s(16,24,20)+
t(24,48,12)s(40,48,20)+s(32,48,20)c(24,40,20)*-
s(24,24,20)s(40,16,20)+s(24,8,12)s(8,40,12)++
t(32,48,20)c(16,48,12)-s(32,40,20)+c(24,40,20)*
s(32,24,28)s(24,24,20)c(40,32,20)+*t(32,48,28)-
c(40,24,20)s(48,40,20)c(40,24,20)c(32,24,20)*+*
s(24,24,28)t(40,24,20)-c(24,24,20)*c(24,40,12)-
s(16,40,20)c(24,40,20)*t(16,56,12)+s(24,24,28)*
c(24,24,20)t(32,40,28)t(24,16,12)+s(32,24,28)+*
t(24,32,28)t(40,48,12)c(32,48,12)+-t(32,32,12)-
t(24,48,20)s(32,16,12)t(16,40,12)+c(48,32,12)+-
s(24,40,28)t(32,24,20)-s(16,24,12)-s(32,40,28)*
t(24,48,28)s(48,48,20)s(40,40,28)+s(16,40,20)+*
c(32,40,20)c(40,32,20)s(48,24,20)c(48,24,12)-+*
t(40,24,20)s(48,16,12)-s(40,48,20)+t(32,40,28)-
s(24,32,28)s(40,40,20)s(32,24,12)-c(48,32,12)--
s(40,48,20)s(48,16,20)s(16,48,20)t(16,56,12)-+-
s(24,16,12)s(24,40,28)s(40,24,12)c(40,40,12)+*+
s(24,32,20)s(24,24,20)*s(32,32,28)t(24,48,28)*+
s(32,40,20)t(24,48,28)s(40,40,20)-s(48,40,12)++
t(32,48,28)s(32,40,28)*c(32,24,20)+s(24,16,20)-
s(16,32,20)s(40,16,20)s(24,40,28)c(40,32,20)-+*
s(40,24,28)t(40,40,20)t(32,40,28)*t(40,24,20)+*
t(24,32,28)s(48,24,20)t(32,48,28)s(40,40,20)++*
c(32,40,20)c(32,32,20)*t(32,48,20)s(24,48,20)*-
c(32,48,12)t(24,24,20)s(48,32,12)++t(32,40,28)*
t(24,16,12)c(24,40,20)+s(32,32,20)*c(48,16,12)+
t(40,56,12)s(40,16,20)c(40,24,20)t(24,24,20)-*+
t(32,40,20)s(32,32,28)c(24,32,20)**s(32,24,12)+
s(16,48,20)t(40,32,12)s(24,32,20)c(32,24,20)*+-
t(32,40,12)t(24,24,20)t(16,24,12)-+t(40,48,20)+
s(24,24,28)t(40,16,12)-c(16,16,12)t(24,40,20)+*
t(32,48,28)s(48,32,20)-t(32,40,28)t(24,16,12)+*
s(32,32,20)s(32,32,20)t(24,24,20)+s(16,32,20)**
s(32,48,20)c(40,40,20)*s(40,32,12)-t(24,16,12)+
t(24,32,28)s(24,40,20)+t(32,24,12)-t(32,40,28)*
s(24,24,28)c(48,40,12)s(24,16,20)+*t(32,32,12)+
c(16,24,12)c(48,16,12)+s(32,24,28)*t(40,32,12)+
c(32,24,20)s(16,16,20)+s(48,32,12)c(24,24,20)+*
s(8,48,12)s(40,40,28)s(40,24,28)*s(24,32,20)-+
c(16,24,12)c(40,32,20)s(24,16,20)c(24,32,12)+-+
c(16,16,12)s(24,24,28)c(24,32,20)s(48,16,20)--+
s(40,24,28)s(40,40,28)*s(40,24,20)*c(32,40,20)*
s(16,32,20)t(24,40,12)s(40,48,20)+-t(24,32,28)*
t(16,16,12)s(40,40,12)s(8,48,12)++s(32,24,28)*
s(40,32,28)t(24,40,12)-s(24,24,20)s(16,16,20)*-
s(48,48,20)s(16,24,20)+s(8,48,12)+t(24,48,28)*
s(32,40,28)c(32,16,12)+c(48,16,12)s(32,24,12)+*
c(40,24,20)s(24,40,28)*c(40,24,12)+t(32,32,28)*
c(32,32,28)c(32,40,20)-s(40,24,12)-s(32,40,20)+
t(24,40,28)t(32,24,20)-s(32,48,20)*s(40,16,20)+
c(40,24,20)c(48,32,12)t(40,32,20)+*c(24,32,12)-
c(24,32,20)s(32,48,20)-s(24,16,20)t(40,24,12)+*
s(24,40,20)t(32,32,28)+c(40,32,20)*s(24,48,20)+
s(32,32,28)t(24,24,20)c(24,24,12)s(32,32,20)+*-
c(40,32,20)s(32,24,12)s(48,24,12)t(32,16,12)++-
t(32,24,20)s(32,48,20)c(40,32,12)-s(40,40,28)*+
s(16,16,20)c(32,32,28)*s(8,32,12)-s(24,32,12)+
t(32,40,28)s(32,16,20)c(32,32,20)s(32,48,20)+*-
t(24,40,28)s(48,40,20)t(32,40,28)*s(24,24,20)+*
s(48,8,12)s(32,24,28)s(40,16,20)-+s(32,24,20)*
c(48,24,12)s(32,40,28)+t(16,48,12)c(16,16,12)+-
s(24,24,28)s(32,24,28)*s(32,40,28)*s(24,40,12)+
s(40,16,20)s(40,24,28)c(48,32,12)s(40,32,12)+-*
c(32,24,20)c(48,32,12)t(40,32,20)+*t(24,16,12)+
s(24,24,20)c(32,32,20)c(32,32,28)s(24,16,12)-*-
s(24,24,28)c(24,48,12)+s(48,16,12)+s(24,48,20)*
s(24,40,28)t(40,24,20)-s(32,40,20)s(32,40,12)--
t(24,24,20)s(32,32,28)s(16,16,20)-t(32,48,28)*+
t(24,40,28)s(32,32,20)c(40,40,20)s(40,24,28)*+*
t(24,40,28)s(40,40,28)*s(48,24,20)+t(32,40,28)*
c(32,24,20)s(24,16,20)s(32,40,28)+*s(40,40,20)+
s(32,40,28)s(24,40,20)s(16,24,20)s(24,32,28)*--
c(24,40,20)s(8,48,12)-s(16,40,20)*s(24,16,12)+
c(24,40,20)t(32,32,28)t(32,32,20)s(40,40,12)+--
t(48,40,12)t(48,48,12)+c(32,16,12)+s(16,16,20)+
s(40,24,28)t(32,32,28)s(24,24,20)-+c(48,40,12)-
c(32,32,28)s(32,16,20)-s(32,32,20)s(16,16,20)-*
c(48,40,12)t(24,40,12)+s(32,48,20)t(48,32,12)+*
c(32,32,28)s(24,32,12)-c(24,32,20)*t(16,40,12)-
s(24,24,28)s(32,48,20)+s(32,24,28)t(24,40,20)-*
s(32,32,28)t(24,48,28)t(32,48,28)c(24,40,12)+**
s(24,40,28)s(24,40,20)s(40,24,20)+s(40,40,20)*-
t(24,32,28)s(24,40,28)*s(16,32,20)s(24,24,20)*+
s(40,48,20)s(40,40,20)t(32,48,28)t(32,24,20)---
c(48,48,12)t(24,32,28)+c(32,24,20)t(32,48,20)-*
s(24,48,20)t(24,48,28)t(32,32,28)*+t(24,48,20)-
t(24,40,28)s(24,40,20)t(32,48,12)t(32,40,12)+--
c(32,32,28)s(40,24,20)s(24,24,12)-s(48,24,20)*-
s(32,40,28)t(24,40,20)-t(24,48,28)-c(24,16,12)+
s(32,16,20)c(40,40,12)+s(24,24,28)*t(40,32,12)-
c(32,32,20)c(48,32,12)c(24,40,20)+s(40,40,12)--
c(24,40,20)s(32,32,28)t(48,56,12)+*s(32,24,12)-
s(40,24,28)t(32,40,28)+s(32,40,20)-c(32,24,20)*
s(40,24,28)c(32,24,20)*c(40,32,20)t(32,40,20)-*
s(24,32,28)s(16,16,20)s(32,16,20)+c(24,40,12)+*
t(32,48,28)s(8,32,12)s(16,16,20)t(24,32,28)-++
s(16,24,20)t(32,32,20)+s(32,40,28)s(40,48,12)--
c(40,32,12)s(32,40,20)c(16,40,12)s(48,24,20)+-+
s(32,32,20)s(40,48,12)t(32,56,12)+t(32,32,20)+*
c(24,32,20)t(32,16,12)s(32,48,20)+*c(32,40,20)*
t(32,40,28)s(40,32,28)*t(40,16,12)+t(32,48,28)*
s(16,16,12)c(32,32,28)c(24,40,12)t(24,16,12)+-+
c(24,24,20)c(40,32,20)s(16,48,20)s(24,32,12)-+*
c(40,40,20)s(24,32,28)*t(24,32,12)-t(32,16,12)+
t(40,24,20)s(40,48,20)+t(32,40,28)c(40,24,12)-*
s(24,40,28)s(40,32,28)t(40,40,20)s(40,32,20)*--
c(48,48,12)s(24,24,28)s(40,16,20)*s(8,40,12)++
c(40,24,20)s(8,32,12)+c(40,32,20)*t(32,32,20)*
s(40,32,28)t(24,40,20)c(32,40,20)s(40,24,20)-*-
s(32,48,12)c(24,24,20)s(24,16,20)*t(24,40,20)++
t(16,32,12)c(24,16,12)+t(24,40,20)s(24,32,20)*-
s(40,32,28)s(24,32,28)c(24,24,20)**t(24,40,20)-
s(24,16,20)c(24,32,20)s(32,24,28)t(48,32,12)-*+
s(32,32,20)s(8,24,12)s(32,32,28)s(48,32,20)*+*
s(16,32,20)s(8,48,12)-s(8,40,12)-c(32,48,12)+
t(24,48,28)s(40,40,28)t(16,32,12)t(24,48,20)+*-
s(24,24,12)s(32,32,20)c(40,24,20)*c(24,24,20)*+
s(32,32,20)s(24,40,20)+s(40,32,28)s(32,40,28)*-
s(32,16,20)t(16,16,12)c(48,48,12)t(32,32,28)++*
s(24,40,28)c(32,32,28)t(32,32,28)s(16,16,20)+*-
s(24,32,28)t(24,24,12)-c(16,16,12)-t(24,40,28)-
t(32,40,28)s(8,24,12)+c(40,40,20)+s(40,24,28)*
s(40,48,12)t(40,32,20)s(40,16,12)-+s(32,48,20)*
s(16,40,20)c(48,48,12)s(32,40,20)+*c(24,40,12)+
s(24,24,28)s(48,16,20)s(24,40,20)+s(40,24,28)+*
s(48,24,20)t(24,32,28)s(8,32,12)-s(16,16,12)-+
c(32,40,20)t(16,56,12)s(48,40,12)++s(40,48,20)*
s(16,32,20)s(16,24,20)*t(24,24,12)-s(32,32,20)+
s(40,40,20)s(48,8,12)+s(24,40,20)-t(32,24,20)-
t(24,24,20)s(32,32,28)*c(24,16,12)+t(24,48,12)+
c(32,40,20)t(16,48,12)-t(24,40,28)s(48,32,20)-*
s(16,48,20)c(40,32,20)+s(32,16,20)-t(32,32,20)-
s(32,40,20)s(32,32,28)t(32,48,20)t(32,40,28)+**
s(48,24,12)c(40,40,20)+s(48,48,12)-s(48,16,12)-
s(32,24,28)s(24,24,12)t(24,40,20)+t(32,48,28)+*
s(40,32,28)s(40,24,20)t(24,40,28)s(16,32,12)--*
c(24,24,20)s(32,40,28)t(24,48,28)*+s(40,32,20)*
s(16,32,20)c(32,24,12)s(32,48,20)+c(40,16,12)++
s(16,32,20)s(24,48,20)t(16,40,12)-s(16,16,20)+*
c(40,40,20)s(32,48,20)c(32,16,12)++t(24,48,20)-
s(40,32,20)s(48,32,12)t(40,48,20)+c(40,16,12)+*
t(40,24,20)s(48,24,12)s(32,16,20)c(40,24,20)*++
c(32,32,20)s(32,32,20)c(32,32,20)s(32,24,20)**-
c(40,32,20)t(24,40,28)c(32,16,12)+*s(24,24,12)-
c(24,32,20)c(32,48,12)+t(32,40,20)-t(32,24,20)+
t(32,24,20)s(24,48,20)+c(24,24,20)*s(32,16,20)*
s(24,32,28)s(40,40,20)s(24,24,20)--t(48,40,12)+
s(24,24,20)s(48,24,20)s(24,16,20)+*s(24,8,12)-
t(32,56,12)s(40,48,12)+s(48,24,20)+c(24,40,20)-
t(40,24,20)s(40,32,20)c(32,48,12)-s(32,32,28)**
s(24,40,12)s(24,24,12)c(32,24,12)+c(16,32,12)++
s(40,40,28)s(24,40,20)+c(24,24,20)*s(40,24,12)+
s(32,16,20)s(48,16,20)+t(32,40,20)c(32,16,12)+-
s(32,40,20)t(32,48,28)+s(48,48,20)s(32,40,28)**
s(24,40,28)s(24,32,20)s(16,32,20)+s(8,48,12)-*
t(24,32,28)t(16,56,12)+s(24,40,28)*t(24,40,28)*
s(40,48,20)t(32,40,28)+s(40,40,28)s(24,24,12)-*
c(48,48,12)t(32,40,12)+c(32,16,12)+s(24,40,28)-
s(48,16,20)t(32,48,20)+s(32,24,28)c(40,24,20)**
s(32,32,20)t(32,40,20)s(48,32,20)+s(24,32,28)**
s(24,32,20)s(24,48,20)s(32,32,20)c(16,48,12)++*
c(40,40,20)s(32,32,20)s(24,24,12)s(24,48,20)++*
c(48,32,12)t(24,48,12)+s(24,16,20)+s(24,8,12)-
t(40,48,20)c(32,32,28)s(16,16,20)c(32,40,12)++*
t(16,32,12)s(40,48,20)+s(40,24,28)-c(24,32,20)-
s(48,32,20)s(16,48,20)c(40,32,12)+-c(24,32,20)-
s(8,8,12)c(40,16,12)t(48,32,12)++s(32,16,12)-
c(32,32,28)t(40,40,20)-s(32,40,28)c(32,24,20)**
c(24,24,20)c(24,24,12)-s(8,8,12)+s(32,48,20)-
t(32,48,12)s(8,24,12)s(48,16,12)+c(48,16,12)++
s(24,40,28)s(24,32,28)s(40,24,12)-*t(32,48,12)-
t(32,40,28)s(24,48,12)t(24,32,12)c(16,16,12)++*
s(40,40,28)s(32,48,20)*c(16,24,12)+t(40,48,20)*
s(40,16,12)t(16,40,12)+c(40,24,20)c(40,32,20)*+
c(24,24,20)s(40,40,28)c(32,40,12)-+s(40,32,20)*
t(32,40,28)s(24,32,20)*t(48,40,12)+s(40,32,12)+
s(32,24,28)t(24,32,12)-s(16,32,12)s(8,16,12)+-
s(24,24,28)s(32,32,20)*s(24,40,20)+t(16,48,12)-
c(16,48,12)s(40,24,28)t(24,40,20)-+s(16,16,20)-
s(40,32,28)c(32,24,20)c(16,16,12)c(40,16,12)+**
c(32,24,20)t(24,24,12)-s(48,32,12)+c(16,32,12)-
c(24,24,20)c(24,40,20)+s(24,16,20)-s(32,24,20)+
c(40,40,20)t(24,48,20)-s(16,24,12)+s(24,24,28)+
s(16,32,20)s(32,48,20)s(48,16,20)+c(16,24,12)+*
s(40,24,28)s(24,32,28)s(32,40,12)-t(32,32,28)**
c(40,32,20)s(16,32,20)+s(24,32,28)c(40,16,12)+*
t(40,40,12)t(24,32,20)+s(48,16,12)s(24,32,20)++
s(16,32,20)t(24,48,28)-s(16,16,20)+s(32,8,12)-
t(32,32,20)t(24,32,12)+c(24,24,20)s(24,40,28)*+
t(32,32,28)s(8,16,12)+t(24,24,12)-c(40,24,20)+
s(40,24,28)c(24,40,20)t(40,48,12)-c(24,32,20)*-
s(8,24,12)s(32,24,20)+s(32,40,28)*c(40,24,20)*
s(40,32,28)s(32,16,12)-s(16,16,12)t(24,48,28)+-
t(40,40,20)t(24,48,20)+c(16,24,12)s(32,32,12)+-
s(24,40,28)c(32,32,28)*c(24,16,12)s(24,32,20)+*
s(32,40,20)t(40,16,12)+c(40,32,20)t(24,48,20)--
s(32,24,28)s(48,16,20)-c(24,24,20)c(40,16,12)-*
s(24,40,28)s(32,32,28)c(40,40,12)-*s(40,40,28)*
s(24,40,20)s(40,24,12)+s(40,40,12)+t(24,48,20)*
s(24,8,12)s(40,40,12)+t(32,32,20)s(16,48,20)-+
s(40,24,28)t(32,16,12)t(24,40,20)+c(32,32,12)--
c(24,40,20)s(48,8,12)s(24,40,20)+c(32,32,12)+*
s(48,16,20)s(40,24,20)s(40,48,20)-+s(40,24,20)*
s(32,24,12)s(24,48,20)+c(48,16,12)+s(40,16,12)-
s(40,16,20)t(24,56,12)c(40,16,12)+s(32,48,12)-*
t(40,56,12)s(48,40,20)+s(24,40,20)-s(40,32,12)-
s(8,48,12)s(40,32,28)t(32,48,28)*+s(32,48,20)-
s(40,24,20)s(40,40,28)s(24,40,28)t(32,40,28)--+
s(40,48,12)c(24,40,20)+s(16,48,12)s(8,16,12)+-
c(32,24,20)s(32,40,20)s(24,40,20)s(16,48,20)---
c(40,24,20)s(8,24,12)c(40,16,12)+s(32,24,28)**
c(40,40,20)s(24,40,12)-s(8,48,12)t(32,48,28)+*
s(16,48,20)t(24,40,28)s(40,24,28)-+s(16,32,20)*
s(32,24,28)t(40,32,20)c(24,32,20)+s(16,40,20)--
t(24,40,28)t(40,40,20)s(32,24,28)+t(24,16,12)-*
s(24,32,28)c(40,40,20)c(48,48,12)-*s(32,24,28)*
s(8,24,12)t(24,32,28)s(24,24,20)*s(40,32,28)*+
c(40,24,20)t(16,40,12)+c(32,32,20)*s(48,32,12)-
c(40,16,12)c(24,24,20)+s(40,40,28)s(32,24,20)**
t(24,48,20)t(32,40,12)-c(48,24,12)+t(24,48,20)+
s(24,24,20)s(32,24,20)s(40,32,20)s(40,24,20)**-
s(48,32,20)s(32,16,20)s(48,24,20)+s(32,40,20)-*
s(32,40,20)s(48,48,12)+s(48,48,20)t(16,56,12)+*
c(24,32,20)t(40,24,20)s(24,32,12)+*s(40,32,12)+
t(40,32,20)s(24,40,28)+t(24,48,20)-s(48,8,12)+
c(40,40,20)c(40,24,20)*c(32,32,28)s(24,16,20)-*
s(8,8,12)s(48,40,20)c(32,32,20)*+s(24,16,20)-
c(40,48,12)s(16,48,20)t(48,24,12)s(8,40,12)+++
c(48,40,12)c(32,32,20)c(24,16,12)t(48,32,12)+-+
s(32,24,28)s(32,32,28)t(32,40,20)c(40,48,12)+*-
s(24,40,20)s(40,40,28)s(48,40,20)-c(32,32,28)*-
t(40,24,20)s(48,16,20)c(48,16,12)c(16,24,12)+*+
t(24,32,28)s(32,32,28)s(24,32,28)*t(32,16,12)-*
s(8,16,12)s(40,40,20)+c(24,40,20)-s(48,16,20)+
s(40,8,12)c(16,48,12)t(40,40,20)++s(40,24,28)*
s(24,16,20)s(24,24,12)-c(24,40,20)t(32,24,12)-+
s(32,32,28)s(48,24,20)t(32,40,28)-s(48,32,20)*-
s(24,48,20)s(32,40,28)*s(32,48,12)t(40,32,20)++
s(32,24,28)s(48,32,20)c(32,16,12)-s(40,32,20)**
s(16,48,12)c(16,32,12)s(32,16,12)+c(24,40,20)*+
s(24,24,28)t(32,40,12)c(32,48,12)+-s(16,40,12)-
s(24,40,20)t(32,32,28)c(24,32,20)t(40,40,12)-+*
c(40,32,20)t(32,40,20)*c(16,16,12)+t(40,40,12)-
s(24,16,12)s(40,40,20)+s(40,32,20)t(40,32,12)-*
s(24,8,12)s(16,24,12)+t(32,32,20)+c(40,32,20)*
s(24,40,20)s(40,32,20)+s(24,24,20)+t(24,48,20)-
s(16,48,12)s(48,32,20)+s(48,40,20)s(40,48,20)*-
s(40,24,28)s(24,16,20)t(32,40,28)-t(40,48,20)+*
c(24,32,20)t(24,48,20)s(32,16,20)+s(40,16,20)*-
s(40,32,28)s(32,24,20)t(24,32,28)**c(48,16,12)+
s(48,40,20)c(32,24,12)+c(40,24,20)*s(40,40,28)*
s(32,48,20)s(16,32,20)+s(16,32,20)s(32,16,20)+*
t(24,32,20)s(48,8,12)s(8,16,12)++c(32,32,28)*
c(40,24,20)c(32,48,12)+c(40,40,20)*c(48,40,12)-
c(24,32,20)s(32,40,20)-c(40,32,12)+c(40,16,12)-
c(24,40,20)s(32,40,28)s(48,24,20)-c(16,32,12)--
c(24,32,20)s(48,40,20)-c(32,24,12)-t(32,48,12)-
t(16,48,12)s(24,24,12)s(24,8,12)++c(24,40,12)-
t(40,16,12)s(24,40,20)s(32,32,20)*t(24,24,12)++
s(16,32,20)t(24,40,28)t(24,48,20)*+t(24,40,20)*
t(48,48,12)c(48,40,12)+c(32,48,12)+s(24,48,20)-
s(32,24,28)s(40,32,20)t(32,24,20)+t(32,40,28)--
t(24,48,28)t(32,24,20)-s(32,32,20)t(16,48,12)+*
s(24,40,28)c(24,40,20)s(16,24,20)s(48,40,12)++*
t(40,32,20)s(16,8,12)s(24,24,20)++s(16,16,12)-
t(32,48,20)s(32,40,20)s(16,40,12)-t(16,40,12)+*
s(24,40,28)s(16,48,20)t(40,40,20)++t(32,40,12)-
s(32,32,28)c(24,40,12)t(32,48,20)++s(48,48,20)*
s(32,32,20)t(40,32,20)*s(16,48,20)+t(40,32,20)-
s(16,48,20)s(16,32,20)t(16,48,12)+s(32,40,12)-*
t(32,48,28)s(24,32,28)t(24,32,12)-s(40,24,28)*-
s(24,48,20)t(32,48,20)+s(16,8,12)+s(40,40,12)-
s(32,32,20)t(16,32,12)-c(32,32,20)t(40,40,20)*-
s(24,48,20)t(48,56,12)t(40,24,12)c(48,40,12)+++
s(8,16,12)t(24,48,28)s(24,32,20)+t(48,24,12)++
s(48,40,20)s(32,32,20)t(32,16,12)-c(32,24,20)*-
s(32,32,28)s(24,40,28)t(40,32,12)c(24,40,12)+-*
s(24,48,20)s(24,32,12)+s(24,40,20)*t(24,32,12)-
c(24,32,12)s(48,48,20)s(24,24,28)s(40,48,12)+-+
s(8,48,12)s(32,24,28)+s(24,40,20)*s(16,16,12)+
s(24,40,28)c(32,24,20)c(24,40,20)s(24,16,20)-+*
s(40,40,12)c(24,48,12)s(32,16,20)+t(24,48,20)*+
c(32,32,20)s(24,24,28)c(32,48,12)+s(40,24,20)-*
t(24,40,20)c(24,40,20)t(24,32,28)s(8,32,12)+**
c(24,24,20)s(8,8,12)+s(40,32,20)t(24,40,12)+-
s(24,40,28)t(24,40,20)s(24,48,20)*-s(40,24,28)*
s(32,40,28)s(24,48,12)c(24,40,12)+s(32,16,20)+-
t(24,32,20)t(32,40,28)c(24,32,12)-t(32,40,12)+-
s(32,40,28)s(32,16,20)s(24,32,20)+t(24,40,28)**
t(24,56,12)s(48,16,20)+s(32,16,12)c(48,24,12)+*
s(40,40,28)t(16,16,12)s(32,48,20)+-c(40,16,12)-
c(32,40,20)t(32,48,28)*s(32,24,28)t(40,16,12)--
s(16,32,20)c(32,48,12)+s(24,40,28)s(32,40,28)**
s(16,32,12)t(24,32,20)+s(32,16,20)t(32,24,20)*-
c(24,24,20)s(40,48,20)s(48,32,12)+t(32,56,12)-+
s(40,32,28)t(24,40,28)*c(16,32,12)-t(32,40,28)*
c(40,24,20)c(32,40,20)s(40,24,12)+t(40,32,12)-*
c(48,16,12)c(24,32,20)s(16,40,20)*+t(32,48,28)-
s(32,24,20)s(24,24,28)s(40,48,20)-*t(24,32,28)*
s(24,48,20)c(40,40,20)c(32,40,20)t(32,16,12)++*
t(48,40,12)s(40,16,20)s(40,16,12)-+s(40,40,20)-
t(32,24,20)s(32,24,28)s(32,16,20)s(8,48,12)+**
s(16,40,20)c(40,24,20)-s(24,48,20)s(32,32,28)*-
c(32,40,20)s(32,16,20)s(32,32,20)s(40,48,12)-*-
s(48,8,12)s(40,32,28)c(16,16,12)c(40,40,12)+*+
s(32,32,20)t(24,32,28)s(32,40,20)-t(24,40,28)+*
s(40,16,20)s(32,24,20)+s(48,16,12)-s(40,24,20)*
s(24,40,20)c(24,24,20)s(24,40,28)c(32,40,20)--*
s(40,24,28)t(32,32,20)s(48,40,20)++t(32,32,20)-
s(16,16,12)c(40,24,20)+c(40,24,12)-s(16,16,20)*
t(32,40,28)t(24,48,28)*s(32,24,20)+c(40,24,20)-
t(32,32,20)c(40,48,12)-t(32,48,28)s(24,24,20)--
t(24,48,20)s(40,40,28)+t(24,40,28)t(40,16,12)+*
c(32,24,20)c(16,24,12)t(32,40,28)+*s(40,24,28)*
s(48,40,12)c(24,16,12)t(40,24,12)++c(24,32,20)*
t(24,48,20)c(40,32,12)+c(24,32,20)s(48,24,20)-*
s(16,32,20)c(24,32,12)s(24,8,12)+s(48,24,20)++
s(32,40,28)s(24,24,28)+s(32,40,28)-s(24,8,12)-
s(32,32,28)t(24,32,28)t(32,32,28)+s(48,32,20)--
t(32,48,28)s(24,32,12)s(40,32,20)+s(24,24,28)+*
t(24,32,28)c(24,24,20)*c(24,40,12)-t(16,16,12)-
t(48,40,12)t(32,24,20)+t(32,40,12)s(48,16,20)++
s(32,24,12)s(48,40,12)s(24,40,20)+t(40,32,12)-+
t(32,32,28)t(40,56,12)+c(32,40,12)-t(32,24,20)*
s(32,40,28)t(24,48,28)s(32,48,20)*-s(40,24,28)*
c(32,32,28)s(48,32,12)c(16,32,12)+-s(40,24,28)*
c(40,32,20)s(32,8,12)c(24,32,20)t(32,32,12)-+*
s(24,16,20)s(24,40,28)s(24,24,20)*-t(48,16,12)+
t(24,24,12)t(24,40,20)+s(40,40,12)-t(32,32,28)*
s(40,40,20)c(32,24,20)c(32,32,12)-+c(40,48,12)-
s(40,40,20)s(24,48,12)-s(32,24,28)c(32,40,12)--
t(16,40,12)s(32,40,28)s(16,32,12)s(48,40,12)+*+
t(32,24,20)t(40,32,12)-s(40,8,12)+c(32,32,28)*
s(24,40,20)c(48,48,12)s(8,40,12)+-t(32,24,12)-
t(32,40,28)t(24,32,20)+s(8,48,12)+s(32,48,20)-
t(32,32,12)t(48,16,12)+t(24,32,20)+t(40,48,20)+
s(48,32,20)c(24,40,20)s(32,16,20)-+s(40,40,28)*
s(24,32,20)s(8,24,12)s(40,16,20)+-s(32,48,20)+
s(32,32,28)s(24,24,20)+t(40,24,20)s(40,40,28)*-
t(24,48,28)s(24,24,20)s(32,24,20)*s(24,48,12)+*
t(32,40,28)c(48,24,12)t(16,56,12)+-s(40,48,20)*
s(40,24,28)c(24,24,20)s(16,32,20)*-s(48,32,20)*
c(40,24,20)s(24,32,20)-c(40,32,20)t(32,40,28)*+
s(24,32,28)c(24,48,12)-s(16,40,20)c(40,32,20)+*
t(24,48,12)s(32,16,20)c(16,24,12)s(48,48,12)+-+
t(32,16,12)s(8,16,12)s(32,48,12)++s(32,48,20)+
s(16,24,12)t(48,48,12)s(8,8,12)+c(32,32,12)++
c(40,40,20)s(40,32,20)s(24,40,12)-s(48,24,20)+*
s(40,40,28)s(32,32,20)s(32,16,20)--t(32,48,28)+
c(24,40,20)s(8,48,12)s(32,24,28)s(24,16,20)*+-
c(40,40,20)s(48,48,20)t(24,40,28)-c(48,32,12)--
s(24,24,28)s(40,32,28)t(32,32,28)**s(24,48,20)-
t(24,32,28)s(40,24,28)s(24,40,12)-s(24,24,28)*+
c(40,32,20)s(32,24,28)s(32,40,12)-c(48,24,12)-+
c(32,32,28)t(16,40,12)s(40,48,20)+*c(32,24,20)-
t(32,32,20)c(32,24,12)+c(24,16,12)s(48,16,12)+-
c(32,32,20)t(32,40,28)t(40,56,12)+s(16,40,20)-*
s(40,32,20)t(24,40,20)-s(32,24,12)s(48,48,20)+*
c(32,40,12)s(40,24,20)s(24,24,12)-s(24,40,20)-+
s(40,48,20)t(40,24,20)t(32,48,28)c(48,40,12)-+*
c(40,24,20)s(24,16,20)c(32,48,12)s(24,40,20)++*
s(32,40,28)s(16,24,20)t(24,40,20)+s(8,24,12)-*
c(32,40,20)s(40,40,20)*c(32,32,28)s(16,40,20)-*
c(40,40,20)c(32,32,20)*s(16,24,20)c(40,32,12)+*
c(16,48,12)t(48,24,12)t(16,24,12)++s(16,40,12)-
t(40,16,12)c(32,40,20)+s(32,24,12)-s(32,32,28)*
c(24,40,20)s(40,48,20)s(48,16,20)c(40,16,12)-+*
s(40,32,20)s(40,16,12)-s(24,40,28)s(32,32,20)-+
s(24,8,12)c(24,32,20)t(40,40,12)-+s(32,16,20)*
c(24,40,20)s(8,16,12)+s(48,48,20)t(16,24,12)+*
s(24,32,28)t(24,48,28)c(16,48,12)s(40,40,20)++*
t(16,24,12)c(32,16,12)s(24,48,20)+c(32,32,12)-+
c(32,32,28)c(48,40,12)-s(32,32,28)*s(16,24,20)-
t(24,24,12)s(32,16,12)s(24,16,12)++s(40,24,28)*
c(48,24,12)t(24,32,20)+s(24,40,28)*t(24,16,12)+
c(40,48,12)c(40,24,12)+s(48,32,20)t(40,16,12)+*
s(32,48,20)t(24,48,20)*s(32,32,12)+t(16,24,12)+
s(40,8,12)s(32,40,28)s(48,40,20)++s(24,40,28)*
s(32,40,20)c(24,40,20)s(24,8,12)t(24,40,28)+**
c(40,32,20)t(24,48,28)s(32,40,28)*s(16,32,12)--
c(24,24,20)s(48,24,20)s(40,40,28)*+s(32,24,28)*
c(40,32,20)s(40,32,12)t(24,48,20)+-s(40,32,20)*
s(32,40,28)s(24,40,20)s(24,24,20)t(24,48,12)+*-
c(32,40,20)c(24,32,20)s(16,48,12)t(48,48,12)+-*
c(40,24,20)c(32,32,20)s(32,24,20)*s(32,48,20)-*
s(40,40,28)c(40,32,12)c(16,32,12)++s(48,24,20)+
t(32,48,28)c(24,32,20)t(48,24,12)+*t(24,48,28)+
t(24,32,28)t(24,24,20)c(32,16,12)+-s(40,16,20)+
c(40,40,20)c(48,24,12)s(32,32,20)+*s(40,24,28)*
t(40,48,20)c(24,40,12)+c(32,24,12)t(24,32,28)+*
s(32,24,28)c(24,40,20)s(32,32,28)t(16,40,12)-**
s(32,32,28)s(48,32,20)t(32,48,20)-s(24,8,12)+*
c(32,24,20)s(40,32,28)+s(40,48,12)s(40,24,12)+*
t(16,56,12)c(40,32,20)c(32,48,12)++s(24,32,20)*
s(40,24,28)c(32,32,28)t(24,48,20)*c(40,40,12)+*
s(24,40,28)c(16,32,12)s(32,32,28)t(32,48,28)*+-
c(40,16,12)t(24,24,12)+c(40,24,20)s(48,24,20)-+
c(24,24,20)t(24,48,20)+s(32,32,28)s(16,24,20)+*
s(40,48,20)t(16,56,12)s(32,48,12)+-s(40,24,20)-
t(24,48,28)s(24,8,12)s(24,48,20)+*s(40,48,12)+
t(32,48,28)s(24,24,20)s(32,40,28)*-s(16,32,20)-
s(32,48,20)s(48,16,12)+c(40,40,20)c(24,40,20)*-
t(32,32,28)c(48,40,12)-s(24,24,28)c(32,32,20)**
s(40,40,20)s(32,32,20)s(40,32,28)s(32,40,28)***
s(32,32,28)t(24,24,12)-c(32,24,20)*t(24,32,12)-
t(16,56,12)c(32,32,12)+s(40,48,20)c(32,32,20)*+
c(24,40,20)t(32,48,20)s(40,32,12)--c(32,40,12)-
s(32,40,28)t(24,40,20)t(48,16,12)+c(40,16,12)-*
s(32,32,28)t(24,40,20)-t(32,48,20)t(48,24,12)+-
s(48,32,20)c(32,24,20)*t(40,32,12)t(24,48,20)++
t(40,48,20)s(32,32,28)t(32,32,28)s(40,40,28)+*+
s(24,32,20)s(32,24,20)s(24,24,28)s(16,16,20)*+*
c(40,32,12)s(40,32,20)t(16,56,12)+c(24,32,20)*+
t(32,40,28)c(32,32,20)s(32,40,20)s(32,24,20)+**
s(48,32,12)t(32,32,28)+s(8,8,12)+s(24,24,28)-
t(32,40,20)c(40,40,20)c(48,40,12)t(24,40,28)+**
s(32,32,28)s(40,40,28)*s(32,48,20)+s(48,24,20)-
c(24,32,20)t(16,32,12)s(40,24,12)++c(40,24,20)*
s(40,32,20)s(24,32,28)t(24,56,12)+*s(16,16,20)+
c(24,48,12)s(32,40,20)c(40,40,20)*+s(32,24,28)*
s(32,32,28)s(40,24,12)-t(32,40,28)s(24,32,28)**
c(32,48,12)c(32,32,20)+c(24,32,20)s(16,16,20)-*
t(32,32,20)s(40,16,20)c(40,32,20)*+s(40,24,20)*
c(48,24,12)t(48,56,12)t(24,24,12)s(16,48,12)+++
s(32,40,28)c(40,40,20)s(32,24,20)t(32,32,12)--*
t(24,40,28)t(24,56,12)+t(48,32,12)s(24,40,20)+*
t(32,48,28)c(32,32,28)s(48,48,12)-c(40,40,20)**
s(16,48,12)s(32,16,12)t(32,40,12)+s(40,24,28)*+
c(40,48,12)s(40,32,20)+s(40,16,20)t(40,32,12)+-
c(32,32,28)t(32,40,28)t(32,40,20)--t(40,40,20)*
s(32,32,20)t(32,32,28)s(40,32,20)t(24,40,12)+**
c(24,32,20)s(40,40,28)t(24,48,28)s(24,40,20)**-
c(32,40,20)s(40,48,20)c(40,32,20)*-t(32,48,28)*
c(40,24,20)c(48,16,12)-c(40,48,12)+c(40,24,20)*
s(32,32,28)t(16,48,12)s(40,40,28)+*s(32,48,20)*
t(32,48,20)t(32,32,12)+c(24,40,20)*s(40,16,20)-
s(16,48,20)s(24,40,28)s(24,24,20)t(40,32,20)--*
s(24,48,20)c(24,48,12)-s(16,48,20)+t(32,56,12)-
s(48,24,20)s(32,24,12)-s(40,48,20)c(32,32,28)*-
s(40,16,20)c(40,24,20)*c(16,24,12)+s(40,24,20)-
s(24,48,20)s(16,48,20)*c(40,48,12)s(24,40,20)+*
s(24,40,28)s(40,16,20)+s(24,32,20)-s(48,16,12)-
c(40,32,20)s(40,40,28)t(24,40,28)s(8,48,12)-**
s(40,40,28)s(40,16,20)-t(32,40,12)-c(16,24,12)+
s(24,24,20)c(40,32,12)+s(32,40,12)+c(24,32,20)*
s(40,16,20)s(24,24,20)s(40,32,28)*-s(40,40,20)-
s(24,32,20)t(48,24,12)s(24,32,20)+s(24,16,20)--
s(24,32,20)c(24,40,20)*c(40,40,20)+s(40,24,20)-
c(48,24,12)s(16,40,20)t(16,40,12)-s(8,40,12)-+
c(32,32,20)s(8,16,12)c(16,40,12)+s(32,40,20)++
s(40,32,20)t(32,32,28)s(40,32,12)t(24,32,20)+**
s(32,24,20)s(32,32,20)*c(24,24,20)c(40,24,20)--
s(24,32,28)s(48,16,20)s(8,16,12)s(16,32,20)+++
t(32,40,20)s(40,8,12)+s(40,16,12)-c(32,40,20)*
s(48,16,20)s(40,32,20)s(16,40,20)--c(32,16,12)-
c(24,24,20)s(48,40,20)-t(24,40,12)-s(24,32,12)+
s(40,40,28)t(24,40,28)-s(40,24,20)c(32,40,20)*+
c(32,32,28)s(24,16,20)s(40,40,12)t(16,16,12)+-*
s(24,16,20)c(40,24,12)t(48,16,12)s(24,40,20)+++
s(16,16,20)s(48,48,12)+s(24,24,20)s(32,32,20)*-
c(24,32,20)c(24,24,12)t(32,40,12)+s(40,48,12)--
c(40,40,20)t(32,32,28)*s(48,16,20)s(40,16,20)*+
t(48,32,12)s(32,32,20)+t(32,32,28)s(40,40,20)**
s(48,16,20)s(32,24,28)c(40,32,20)c(32,32,12)--+
t(24,32,28)s(32,24,20)c(24,16,12)-s(16,32,20)+*
c(24,40,12)c(32,40,12)t(48,24,12)+s(48,32,12)++
c(24,24,20)t(48,24,12)+s(24,32,20)t(48,32,12)++
s(8,24,12)c(16,40,12)+t(32,32,12)s(32,48,20)+-
s(16,40,20)s(32,40,28)t(48,48,12)-t(40,40,12)-*
c(32,40,20)c(24,40,12)t(40,24,12)+*c(40,40,12)-
s(40,40,28)t(40,24,12)-s(40,32,20)s(24,32,20)*-
c(32,24,20)s(40,40,28)*s(24,24,28)t(32,16,12)-*
t(48,48,12)s(24,24,20)s(8,48,12)t(40,40,12)+++
t(24,32,28)c(24,24,20)*t(24,32,28)t(32,48,28)*-
s(32,16,12)t(24,48,28)s(24,24,28)-s(24,32,12)++
c(32,48,12)t(32,40,12)+s(16,32,12)+t(24,40,20)-
s(24,32,20)t(16,24,12)-t(48,24,12)+t(32,32,20)-
t(32,40,20)s(16,24,20)-s(40,40,20)+t(40,24,20)-
t(32,40,20)c(24,24,20)s(16,48,20)-s(40,48,20)+*
c(32,40,20)s(16,40,20)c(32,16,12)+-c(24,40,12)+
s(8,16,12)t(24,40,20)+s(8,48,12)-s(24,32,12)-
s(24,24,28)t(40,32,12)-s(8,32,12)-t(24,24,20)-
s(24,40,20)s(32,32,28)+s(24,32,28)*c(40,32,20)*
s(32,32,28)c(24,40,20)s(24,24,20)-t(32,40,12)-+
s(32,40,28)c(40,32,20)s(32,24,20)*-t(32,48,28)*
t(32,32,20)c(24,40,20)t(24,32,28)s(32,24,20)*+*
c(40,24,12)s(24,48,20)+s(32,40,20)t(48,40,12)+-
c(32,24,20)s(40,40,28)c(24,40,12)-c(32,32,28)**
s(40,24,28)c(40,16,12)-s(40,24,20)*s(40,40,12)+
s(32,48,20)s(32,32,28)*c(40,40,20)*t(24,48,28)+
c(32,40,20)s(32,48,20)c(32,32,28)*c(40,24,12)++
s(40,40,28)t(24,48,20)s(40,32,20)+*t(32,48,20)-
c(48,16,12)t(32,48,20)+t(32,24,12)s(48,24,20)+*
t(40,56,12)t(16,16,12)+s(40,32,20)+s(24,32,20)*
c(24,24,12)s(16,8,12)+t(16,48,12)+s(32,8,12)+
c(24,24,20)c(32,24,12)-s(24,48,12)t(32,32,28)+-
c(40,40,20)c(32,32,20)t(24,24,20)t(48,24,12)+*+
c(32,48,12)s(40,48,12)c(24,24,12)+t(24,56,12)++
s(24,16,20)s(24,32,20)c(48,40,12)++t(16,32,12)-
c(40,32,20)s(32,24,28)s(24,16,20)-*s(40,24,20)*
s(32,24,20)s(24,24,28)c(32,48,12)+c(40,32,20)**
s(24,16,12)s(16,40,20)+t(40,40,20)s(24,32,28)++
s(24,32,28)t(24,48,20)t(32,32,20)+-s(16,32,20)*
s(48,32,20)c(32,48,12)c(24,24,20)+s(32,24,20)*-
c(48,24,12)t(32,48,28)+s(48,8,12)c(32,40,20)++
s(24,16,20)s(24,24,20)s(24,32,20)*c(24,40,12)--
s(40,32,20)c(32,24,20)t(32,32,28)*s(32,32,20)**
s(32,40,12)s(16,32,20)+s(40,24,20)c(32,40,20)+*
t(40,24,20)s(24,40,28)+c(24,32,20)s(32,40,12)--
s(40,16,20)s(32,40,28)c(24,24,20)*t(32,40,12)--
s(40,24,28)t(40,24,20)c(48,48,12)+c(40,48,12)+*
t(32,32,12)s(24,24,28)c(24,32,20)c(40,24,12)-*+
c(24,24,20)s(48,32,20)s(40,40,28)s(40,24,20)**-
s(40,16,12)s(8,32,12)+t(16,32,12)-t(32,24,12)-
s(32,24,20)t(32,24,12)-t(24,24,12)-t(32,32,28)+
t(24,32,20)t(32,32,28)t(24,24,20)-c(16,40,12)--
s(16,24,20)s(24,24,20)*s(16,8,12)c(24,32,12)+*
t(24,24,12)t(40,40,20)+s(40,24,12)s(24,16,12)+-
t(24,40,28)c(24,24,20)s(48,32,12)t(24,48,12)++*
t(24,40,28)s(32,24,28)s(40,40,20)s(24,24,20)+**
s(32,40,28)t(32,24,12)-s(40,16,12)+s(48,48,12)-
c(32,32,28)s(48,40,12)-c(40,24,20)*c(40,32,20)*
t(40,56,12)s(32,40,20)+s(32,32,20)*c(24,32,20)*
t(24,48,28)s(48,32,20)t(32,40,28)+s(32,40,28)*+
s(32,24,28)s(32,16,20)s(32,32,28)t(24,24,20)*-*
s(32,8,12)s(32,24,20)c(24,40,20)*s(8,16,12)++
s(16,32,20)c(24,32,12)-s(16,16,12)+c(48,24,12)+
s(48,24,20)t(24,48,28)+t(24,40,12)s(32,16,12)+-
t(40,24,12)s(16,16,20)+c(40,40,20)-c(32,40,12)+
s(32,40,20)t(16,32,12)s(32,32,20)t(32,40,20)*+*
s(32,32,28)s(16,40,12)-t(32,40,28)s(32,32,20)**
s(40,48,20)t(32,40,20)c(24,40,12)+t(24,40,20)*-
s(40,24,20)s(40,32,28)t(32,32,12)-s(24,48,12)+*
s(48,24,12)s(32,16,20)s(16,24,20)t(32,40,28)--+
t(40,24,12)t(32,48,28)+c(32,32,20)*c(24,48,12)-
t(24,40,28)s(32,32,28)*s(16,40,20)*t(32,48,12)+
s(48,16,20)c(16,48,12)+s(32,24,20)-c(32,32,20)+
t(40,32,20)c(24,40,20)t(24,40,28)*s(32,40,20)*+
s(40,24,20)c(40,32,20)t(48,24,12)-s(24,24,28)-+
s(40,40,28)t(32,32,28)c(24,40,20)**s(48,16,12)+
t(24,40,28)c(40,40,20)t(24,24,20)-s(48,48,20)*+
s(32,16,20)t(40,16,12)s(32,24,12)+s(32,40,28)+*
t(24,40,28)c(24,24,20)+t(24,48,28)*s(48,48,12)+
s(40,40,20)s(40,24,12)+s(24,32,28)t(32,48,28)**
s(40,32,28)c(32,24,12)c(32,40,12)+s(40,32,20)*-
s(24,8,12)s(32,40,20)c(40,40,20)s(40,40,12)--+
t(32,48,12)t(24,32,28)s(8,32,12)-t(48,16,12)++
t(24,32,28)c(40,40,20)c(40,24,20)s(32,16,20)*--
s(48,40,12)t(24,32,20)+c(16,16,12)-s(32,48,12)-
c(24,40,20)t(24,40,28)t(40,32,20)-*s(8,40,12)+
s(16,32,20)c(32,32,20)c(24,32,12)--t(24,40,28)+
c(48,16,12)c(16,40,12)+s(48,32,20)c(32,32,12)+-
s(40,40,20)c(16,48,12)s(40,48,20)s(32,40,20)*+*
c(32,40,12)t(32,32,20)s(24,32,20)s(32,24,28)**+
c(32,24,20)s(24,48,20)c(24,40,20)*+c(24,48,12)-
c(40,32,20)c(40,24,20)c(32,40,20)--t(32,32,28)*
s(24,40,20)s(40,24,12)+c(40,24,12)s(32,48,12)+*
s(40,40,20)t(32,40,20)t(40,16,12)+c(32,40,20)**
s(40,48,20)t(32,48,28)s(24,32,28)s(40,8,12)+*+
c(16,16,12)t(24,48,12)t(32,48,20)+t(32,48,12)-+
s(32,32,20)s(32,40,20)s(32,48,20)*-s(16,16,12)-
s(40,40,12)s(8,40,12)+s(32,40,28)+c(40,24,12)-
c(40,40,20)c(32,16,12)+s(24,40,28)*c(40,16,12)+
s(8,32,12)s(40,32,20)s(24,48,20)-c(40,40,20)*+
s(32,32,28)c(32,40,20)t(32,32,28)+s(16,48,12)-*
s(32,48,20)c(24,40,12)+s(8,8,12)t(40,48,12)+-
s(24,32,28)s(40,16,20)-s(32,40,28)s(16,24,12)-+
s(48,48,20)c(48,24,12)s(48,40,20)t(40,40,12)-+*
c(32,24,20)s(8,40,12)s(40,24,20)+*s(24,24,20)*
s(32,40,20)t(32,48,28)t(16,56,12)-*t(24,48,20)+
s(24,32,20)t(48,48,12)+s(48,32,20)s(24,32,12)+*
s(24,48,20)s(32,48,20)*s(16,24,20)+s(16,48,12)+
s(40,32,28)t(48,40,12)s(24,32,20)+s(16,48,12)++
t(24,48,28)t(16,40,12)c(40,32,20)+*t(24,32,28)*
c(48,24,12)t(24,48,20)t(24,40,28)*+s(24,48,20)*
c(40,48,12)s(40,24,28)c(24,24,20)t(24,48,28)+*+
t(24,32,28)s(32,32,28)c(32,40,20)s(40,24,12)-*-
s(24,24,20)s(16,24,20)*s(24,40,28)*s(48,24,12)+
c(32,48,12)s(48,24,20)+c(16,24,12)c(40,32,20)++
s(48,32,20)c(32,48,12)+t(24,48,20)+c(48,32,12)-
c(24,32,20)c(24,40,20)s(32,40,20)s(40,8,12)+*+
t(24,40,28)c(24,24,20)s(32,32,28)+*s(16,32,12)-
t(16,48,12)c(40,32,20)s(32,24,28)s(24,8,12)-*+
t(16,56,12)c(24,48,12)+t(32,48,12)s(32,16,20)++
s(24,48,20)s(8,48,12)+t(24,24,12)+s(32,40,20)*
s(48,24,20)s(40,24,20)s(40,16,12)-+c(24,24,12)-
s(40,32,12)s(24,40,20)c(24,32,20)c(40,40,12)+*+
t(24,40,28)s(48,24,20)c(40,40,20)s(24,40,28)*+*
s(40,24,28)s(32,32,28)t(40,24,12)--t(48,16,12)-
t(32,48,20)c(40,32,20)t(24,48,28)t(16,48,12)--+
c(32,24,20)c(40,24,20)*s(32,16,20)*t(24,48,28)-
t(24,40,20)s(40,8,12)+s(24,48,12)-s(24,32,12)-
c(40,40,20)t(32,32,28)s(24,16,12)-s(40,24,28)*+
s(24,32,20)c(32,24,20)s(24,24,20)s(16,40,12)-**
s(32,8,12)c(40,24,20)t(32,16,12)-+s(32,32,28)*
s(48,24,20)c(40,24,20)c(24,32,20)c(40,32,20)**-
s(40,48,12)s(8,48,12)s(40,40,12)++s(40,32,20)+
s(16,16,12)c(24,32,20)s(16,40,20)-+s(24,24,12)-
s(48,24,20)s(48,48,20)c(32,32,28)*-s(40,24,28)*
s(24,24,28)c(32,32,28)s(16,24,20)t(24,24,20)--*
s(32,32,28)c(32,40,20)t(32,32,20)--t(40,32,12)-
c(32,24,20)s(24,16,20)s(24,48,20)+s(16,40,20)+*
c(40,48,12)s(24,32,20)c(24,48,12)s(40,32,20)+*+
s(48,16,12)c(32,32,20)t(24,32,28)-+t(48,24,12)-
s(48,40,20)s(24,16,20)+c(32,40,12)-s(48,8,12)+
t(16,56,12)t(40,48,20)c(32,24,20)-t(16,40,12)++
t(32,48,28)t(24,40,28)c(40,40,20)*t(32,24,20)--
c(40,40,20)s(40,40,20)c(32,24,20)*t(24,24,12)+-
c(48,40,12)s(16,40,20)+s(24,40,20)+s(48,16,12)+
c(24,16,12)s(16,24,20)t(24,32,28)*c(32,24,20)*+
s(40,24,28)s(24,16,20)*s(24,24,20)c(16,32,12)+*
s(24,40,20)s(16,40,20)*s(24,24,28)+c(32,32,20)-
c(32,24,20)s(48,16,20)-s(32,32,20)*s(32,40,20)*
c(40,40,20)c(32,40,20)t(32,56,12)-*s(40,48,20)*
s(24,40,20)t(32,48,20)-s(16,40,20)t(24,40,28)**
s(24,48,20)s(16,48,20)*s(8,32,12)s(48,32,12)++
s(32,24,28)s(40,16,20)-t(24,32,20)c(40,32,12)++
s(24,40,20)c(24,24,12)-s(32,40,20)*s(32,8,12)+
t(48,48,12)c(32,32,20)+c(48,40,12)-t(24,16,12)-
s(48,24,20)s(40,40,28)c(48,48,12)t(24,40,20)+*+
s(32,40,20)s(32,24,20)+s(48,24,20)+s(32,40,28)*
c(24,24,12)s(48,40,12)+s(24,32,28)s(24,40,28)+*
c(24,32,12)c(48,16,12)s(24,48,20)++s(40,24,20)*
s(32,40,12)t(40,16,12)+s(8,8,12)+s(24,48,20)-
t(32,32,28)c(40,40,20)*s(48,24,12)+s(48,16,12)-
s(32,16,12)c(24,32,20)+t(32,32,28)*t(24,40,12)-
s(48,24,20)t(48,24,12)-c(32,16,12)-s(32,16,12)+
t(32,24,20)s(32,40,20)c(32,32,12)c(32,24,12)+--
s(24,16,20)s(32,8,12)-c(40,32,20)t(32,24,20)*-
s(48,24,20)s(32,40,28)-s(24,32,28)+s(32,40,20)*
t(32,48,28)t(24,48,20)c(48,48,12)+s(32,40,20)**
s(16,16,20)c(16,40,12)s(32,32,28)s(24,24,28)-++
s(32,16,20)s(24,24,28)+c(16,40,12)s(32,24,28)+*
s(32,40,20)t(32,48,28)c(32,32,20)-t(40,32,12)+-
s(40,40,20)c(40,40,20)c(32,24,20)s(40,32,28)*-*
c(32,24,20)s(32,40,20)c(40,40,20)s(48,16,20)+**
t(32,24,20)t(24,32,28)s(8,32,12)-+c(24,24,20)+
s(48,40,12)s(24,40,28)c(32,32,28)*t(32,32,20)-+
c(40,32,20)t(32,40,28)-c(24,24,20)c(24,32,20)*-
t(32,32,28)s(32,24,20)t(24,24,12)--s(32,24,20)-
s(32,16,20)s(40,24,28)*c(40,24,20)*t(24,32,12)-
c(24,24,20)c(40,32,12)c(16,32,12)+s(40,32,28)*-
s(40,24,28)s(24,32,28)t(32,48,12)s(16,24,20)+*+
s(16,16,20)s(24,40,20)-s(24,16,20)s(40,32,28)+*
s(24,24,20)s(40,32,28)*t(40,56,12)+t(40,40,20)+
s(48,32,20)t(16,40,12)s(40,24,20)+-t(24,48,20)+
s(40,32,12)c(32,40,12)+s(24,40,20)t(32,48,20)--
t(32,48,28)t(24,56,12)s(24,40,20)+t(40,40,20)-*
t(32,40,28)s(48,16,20)c(40,40,20)s(16,40,20)-+-
c(32,32,20)c(32,24,20)*t(32,32,28)s(48,32,20)*-
s(24,40,28)s(48,40,12)t(16,48,12)+-t(32,48,20)-
s(32,40,28)c(32,32,28)s(40,40,12)-+s(40,32,28)-
s(48,32,20)c(32,32,20)s(24,40,12)-+c(32,48,12)+
s(40,24,28)s(40,40,28)s(40,24,28)*-s(24,48,12)+
c(40,24,20)s(40,32,20)c(32,32,28)s(24,40,20)-*-
s(40,40,12)s(24,40,20)+s(40,40,20)c(24,32,12)-*
s(24,32,28)t(32,32,20)-t(40,32,20)+s(40,24,12)-
s(40,32,28)t(24,56,12)+c(32,24,20)*s(40,32,12)-
t(32,40,28)c(32,40,20)s(32,24,20)*-c(32,32,20)*
t(40,48,12)c(32,24,20)+s(24,48,20)s(48,24,20)+*
s(32,40,12)s(40,32,20)c(48,40,12)-+s(40,40,28)*
s(24,24,20)s(40,24,12)+s(40,16,20)c(40,24,20)**
c(32,40,20)t(24,32,28)*c(40,32,12)+s(8,32,12)+
s(32,24,28)c(24,24,20)*t(32,48,20)-s(24,48,20)-
c(48,24,12)c(24,24,12)+c(24,16,12)s(32,8,12)+-
s(24,32,20)s(24,48,12)-s(48,16,20)+t(24,40,28)*
t(32,32,20)s(32,48,12)-c(16,32,12)+c(32,24,20)*
c(48,24,12)t(24,48,20)+s(24,32,28)t(24,16,12)-*
t(32,32,28)s(24,24,28)s(24,40,28)s(24,32,28)***
s(16,8,12)s(40,24,20)s(24,24,20)*+t(40,32,20)+
s(40,48,20)t(32,24,20)+c(24,24,20)t(24,48,20)--
c(32,32,20)t(24,40,28)s(32,24,28)*-t(32,24,12)+
s(32,16,20)s(32,48,20)t(40,48,20)*+t(32,48,28)*
s(8,32,12)s(24,16,12)+s(48,16,12)s(32,8,12)+-
t(24,32,28)s(16,40,20)*s(40,48,20)s(48,24,12)++
c(32,32,28)s(40,32,28)c(32,32,20)*t(40,24,20)--
s(32,32,20)s(40,40,28)*s(48,48,20)c(32,32,20)-+
s(48,24,20)s(40,40,28)t(40,24,20)c(24,32,12)+--
c(24,24,20)s(40,8,12)s(48,24,12)+t(16,48,12)+-
t(32,32,28)s(32,16,20)s(48,24,12)--c(24,32,12)+
s(48,16,20)s(32,48,12)+s(32,40,28)-s(40,16,20)*
s(24,24,28)c(32,24,20)*s(32,24,20)*t(24,32,28)*
s(16,24,20)t(48,48,12)s(16,32,20)+c(40,40,12)+*
s(32,40,28)s(40,24,12)-t(40,32,20)s(40,48,20)+*
c(24,24,20)t(24,40,20)c(32,32,20)*+s(32,40,20)*
s(40,32,28)s(24,32,28)*t(24,48,20)t(32,16,12)+*
c(32,32,28)s(24,24,28)s(16,40,20)s(40,48,20)--*
s(40,32,28)t(24,40,20)-c(32,40,20)s(32,24,20)++
c(32,24,20)s(48,16,12)t(40,24,12)+-t(24,32,20)+
c(32,40,12)s(32,24,12)s(16,16,20)s(32,24,28)*++
c(40,32,20)s(16,40,20)-s(40,16,20)c(32,24,20)*+
t(32,40,28)t(32,24,20)+c(24,24,20)*s(32,40,20)*
s(24,40,20)c(24,24,20)s(24,16,20)*+s(32,40,20)*
t(48,32,12)s(24,40,12)+c(40,32,12)t(24,32,28)+*
s(24,40,20)c(24,24,20)t(16,32,12)-t(32,48,20)--
s(24,48,12)c(40,40,20)+s(40,32,20)t(40,24,12)-*
s(24,24,28)s(8,8,12)-t(24,16,12)-c(32,40,20)*
s(32,24,28)c(32,32,28)s(24,40,20)--t(32,56,12)+
s(48,32,20)t(40,24,20)s(16,8,12)+c(32,32,20)+*
t(40,40,20)c(40,40,12)s(48,40,12)+s(16,40,12)+*
t(16,16,12)s(32,40,28)+s(40,32,28)*c(40,32,20)*
s(48,48,20)t(40,32,12)s(48,40,20)c(48,32,12)-++
t(32,48,28)c(40,40,12)+t(48,40,12)-s(48,48,20)-
s(32,24,20)c(24,24,12)-t(32,32,28)+t(40,40,20)*
s(40,24,28)c(24,32,20)s(32,32,28)*-s(40,40,28)-
c(32,40,20)c(32,24,20)c(40,24,20)s(32,40,20)-*+
s(24,24,28)t(24,48,28)-s(40,16,20)-c(16,24,12)+
c(32,24,20)t(24,40,28)s(32,40,28)*-s(40,40,28)-
t(24,40,20)c(48,48,12)+t(32,32,20)-c(16,32,12)-
c(16,48,12)t(24,16,12)s(24,32,12)+t(24,56,12)++
t(32,32,28)t(32,40,20)+t(24,32,28)c(16,48,12)-*
t(24,32,28)s(32,48,20)t(24,40,28)c(40,40,12)---
s(24,40,28)s(24,16,20)+c(24,24,20)t(32,40,20)+-
t(24,24,20)t(16,32,12)c(40,32,20)++c(24,16,12)-
s(24,8,12)s(40,32,28)s(32,16,12)s(48,32,20)+*+
s(48,8,12)t(24,40,20)+t(24,32,28)s(40,24,28)*+
t(32,48,20)s(32,32,28)t(32,40,12)-t(24,32,28)*+
t(24,32,28)t(32,24,20)s(32,16,20)*-t(40,40,20)-
s(48,8,12)c(24,48,12)+t(48,48,12)+s(32,48,12)-
s(16,48,12)c(24,40,20)t(32,40,28)-+t(48,56,12)+
s(48,48,20)s(16,32,20)t(40,48,20)t(32,40,28)*+-
t(24,40,28)t(48,24,12)t(24,24,12)+s(24,32,20)+*
c(48,24,12)c(40,16,12)+s(32,16,20)c(32,32,20)*-
t(40,48,20)s(32,24,28)+c(40,32,20)*c(40,24,20)*
c(32,24,20)s(48,40,20)t(48,16,12)+*t(48,40,12)+
s(16,40,20)t(40,48,20)s(32,48,20)+c(32,40,20)*-
t(24,32,12)c(40,24,20)s(32,16,20)s(8,8,12)+*+
s(40,24,28)t(32,16,12)-s(48,40,12)s(48,48,12)+-
s(40,40,28)s(32,24,20)t(24,56,12)+*c(48,24,12)-
t(40,40,12)s(24,48,20)+s(32,48,20)*c(32,40,20)*
s(32,40,28)s(32,32,12)-t(32,40,20)c(24,24,12)+*
t(32,48,28)c(40,32,20)s(32,32,20)+s(32,48,20)**
s(32,16,20)s(16,48,20)c(24,40,12)-s(48,16,12)+-
c(32,32,20)c(24,48,12)s(48,32,20)+*s(32,16,20)-
s(32,24,28)t(24,32,28)*s(48,16,20)s(24,24,20)+*
s(24,40,28)c(40,32,20)s(40,24,28)*-s(24,40,20)*
s(24,32,20)s(40,32,28)t(32,56,12)+*c(32,24,20)*
t(40,32,12)s(24,48,20)+s(32,8,12)+s(32,24,28)*
s(32,40,28)s(24,32,20)-s(48,48,12)-s(24,24,28)-
s(40,24,28)s(24,24,20)t(48,24,12)+t(40,24,12)--
c(40,32,20)c(32,32,20)*s(40,40,20)s(48,32,20)*-
s(48,40,20)s(32,48,20)s(48,40,12)+s(40,48,20)++
c(32,32,20)s(8,40,12)s(16,32,20)s(24,24,20)*+-
c(40,32,20)s(24,16,12)+s(48,40,20)t(32,40,28)*-
t(48,16,12)s(16,40,20)s(40,40,20)+s(40,16,20)-+
t(40,48,20)t(48,56,12)s(32,16,12)+-s(8,16,12)+
s(24,32,20)t(24,16,12)-c(32,24,20)s(32,40,28)**
t(32,32,28)s(32,40,28)s(40,40,12)-c(48,24,12)-*
c(32,32,20)c(16,32,12)-s(48,48,20)c(32,24,12)+*
t(32,24,20)s(32,24,20)t(40,48,20)s(40,40,12)+-*
s(40,32,20)c(32,48,12)-t(32,32,28)s(40,40,28)**
c(32,24,20)s(48,16,20)+s(40,40,12)t(40,32,20)+*
t(32,48,28)t(24,48,20)s(40,24,20)+-s(48,40,20)+
s(48,16,20)s(24,40,20)s(16,32,20)+c(40,32,20)-+
t(16,32,12)s(32,48,20)c(16,24,12)+s(32,40,20)*+
s(48,8,12)s(48,16,12)c(24,24,20)+s(24,16,20)*+
c(24,16,12)s(40,32,28)c(24,48,12)-s(40,48,12)-+
s(24,40,20)c(40,40,12)c(16,32,12)+s(40,32,12)-*
t(32,24,20)s(40,24,20)t(32,40,20)+t(24,40,12)-*
t(24,32,28)s(32,32,28)t(24,24,20)-+c(40,24,20)*
c(40,24,12)c(24,48,12)+s(40,48,20)t(48,40,12)--
s(24,32,28)s(40,24,20)-c(40,40,12)t(48,40,12)+-
t(32,32,20)t(24,40,12)+s(24,16,20)s(16,40,20)--
t(24,40,28)s(16,48,12)t(32,32,20)+*t(24,48,12)-
s(40,40,28)c(32,40,20)*c(32,32,20)c(40,24,12)-+
s(16,40,20)s(40,24,20)+s(16,24,20)c(32,32,20)--
s(24,40,28)c(24,32,20)s(16,32,20)t(24,40,28)*-*
c(32,48,12)t(24,32,28)c(32,32,20)*c(16,32,12)-+
s(24,16,12)s(32,32,20)+s(24,16,20)s(40,48,12)+*
s(16,48,20)t(24,48,28)s(40,32,28)+*c(40,24,20)+
t(32,24,20)s(24,40,12)-s(32,8,12)s(16,32,12)++
s(16,40,20)t(16,32,12)t(16,40,12)+-s(24,40,12)+
s(16,8,12)s(16,48,20)+s(24,16,20)s(48,32,12)++
t(32,32,28)t(48,32,12)s(24,32,20)+c(32,40,12)+*
s(32,32,28)s(8,16,12)s(16,24,20)c(24,24,20)*++
t(40,32,20)s(24,40,20)s(40,40,12)c(16,16,12)+--
t(40,56,12)t(40,40,20)t(40,24,12)-+s(32,40,20)*
c(16,32,12)s(40,24,12)+s(48,40,12)c(24,48,12)+-
c(24,40,20)c(32,40,20)t(24,32,20)t(48,40,12)+**
s(32,32,20)c(32,24,20)*s(48,40,12)-s(40,48,20)-
s(8,48,12)s(32,40,28)+s(16,32,20)*t(24,40,28)*
s(48,16,20)s(40,40,12)t(40,16,12)+s(48,8,12)--
c(32,40,20)s(40,24,28)*s(40,40,20)*c(32,48,12)+
c(24,40,20)s(24,48,20)*t(24,32,20)t(32,48,28)+*
t(32,48,20)t(48,56,12)+s(16,40,20)-c(16,24,12)+
c(32,40,20)s(40,24,28)*s(40,32,20)*c(48,24,12)+
s(48,24,20)s(32,40,28)-s(40,40,20)s(40,24,28)*+
c(48,32,12)s(24,40,28)t(32,40,28)*+s(40,40,28)*
t(24,32,20)s(40,48,12)+c(16,40,12)-t(24,40,28)*
c(32,32,28)s(40,32,28)-c(40,40,12)c(32,24,20)+-
s(48,24,20)c(16,24,12)+c(24,24,20)s(40,40,20)--
s(24,40,28)s(32,16,20)s(40,16,20)*-s(24,48,20)-
s(32,32,28)s(48,16,12)-s(24,40,12)t(16,24,12)+-
c(32,24,20)t(40,32,12)t(32,48,12)+c(16,24,12)+-
c(24,32,20)s(40,40,28)t(32,48,20)--c(32,32,20)*
s(32,24,20)s(32,32,20)s(48,16,12)+*s(32,40,28)*
t(32,24,20)s(32,48,20)t(48,24,12)+-t(32,48,28)+
c(40,48,12)s(40,16,12)+t(48,16,12)+t(48,56,12)-
t(40,24,20)c(24,40,20)+t(16,56,12)c(40,32,20)+-
t(40,32,20)s(40,8,12)+t(40,40,20)c(24,32,20)+-
c(32,40,20)s(16,32,20)-c(32,24,12)-s(48,48,12)-
t(24,32,28)c(32,48,12)-t(40,32,12)-s(16,40,12)-
t(24,32,28)c(24,32,20)*s(32,24,20)c(32,32,12)--
c(24,24,20)t(32,32,28)*c(40,24,20)*s(40,24,20)*
s(48,32,20)t(24,40,20)s(24,32,12)s(40,40,12)+++
c(32,40,12)s(40,16,20)+t(48,16,12)-c(48,24,12)-
s(40,48,20)s(32,24,20)+t(16,24,12)s(16,16,12)+-
s(32,32,28)s(24,24,28)c(24,40,20)**c(32,40,20)*
s(40,32,28)t(32,32,20)s(24,40,12)+*s(8,8,12)+
t(32,32,28)s(40,48,20)c(32,32,20)s(40,40,28)**-
s(40,24,20)c(32,32,20)+s(48,24,12)-c(32,32,20)+
t(32,40,28)s(40,24,28)*c(16,24,12)s(40,24,20)++
t(32,56,12)t(24,24,20)c(48,16,12)c(32,32,20)+*+
c(24,32,20)s(24,48,20)+s(40,24,20)c(48,48,12)++
s(32,24,20)s(32,24,20)t(32,32,28)s(32,40,20)**-
c(40,32,20)c(32,24,20)*t(40,24,12)-c(24,16,12)-
c(32,32,28)s(48,8,12)c(24,48,12)+s(40,16,12)+*
t(32,32,28)t(24,48,28)-s(24,48,12)+s(48,32,20)-
t(24,32,28)t(24,40,28)c(24,48,12)-s(24,32,28)*-
t(32,40,28)s(32,48,20)+t(32,40,12)-s(40,32,20)+
s(40,24,20)s(16,16,20)s(16,32,20)+t(24,24,20)*-
t(40,32,12)c(48,16,12)+s(24,24,20)c(32,48,12)+-
s(48,48,12)t(32,48,28)t(24,40,28)*+t(24,32,28)-
s(32,24,20)c(40,32,20)s(40,40,20)*t(24,24,20)--
s(24,32,20)t(24,48,20)-s(48,32,20)-s(16,40,20)+
s(32,8,12)c(24,40,20)t(48,24,12)c(24,24,20)+*+
t(40,48,20)s(24,40,28)s(48,40,20)-t(32,32,28)-+
s(32,24,28)t(32,32,20)t(24,40,12)+-t(24,40,28)+
s(24,16,20)s(32,24,20)s(24,40,20)--c(32,40,12)+
c(24,24,20)c(24,40,20)c(32,40,12)t(40,32,20)++*
s(24,24,20)c(24,24,20)s(24,8,12)-s(16,32,20)*+
s(24,16,12)s(40,32,28)c(24,24,20)-s(48,24,20)*+
t(24,48,28)t(32,40,12)-s(40,32,28)t(24,48,28)*-
s(24,40,28)c(40,40,20)t(32,40,28)**s(40,32,20)*
s(48,32,20)t(32,40,28)c(40,40,20)s(40,24,28)**-
c(16,32,12)s(40,32,28)s(40,24,12)-t(32,40,20)*+
s(48,40,20)c(40,32,20)s(24,24,28)s(32,32,28)*-*
s(32,40,28)t(32,40,20)t(16,16,12)+t(24,48,12)-*
t(32,32,28)s(40,16,20)+s(32,32,20)t(32,48,28)+*
c(40,24,12)s(16,8,12)t(16,40,12)++s(32,40,12)+
t(24,48,28)c(32,32,20)s(32,24,28)*s(32,16,20)-+
c(24,24,20)s(24,32,28)+s(16,48,20)*t(24,40,28)*
c(24,24,20)s(24,16,12)c(40,40,12)+c(32,24,20)*-
s(32,32,20)t(16,16,12)s(24,32,20)+*s(32,16,20)+
s(24,32,20)t(24,48,12)+c(24,40,20)+s(40,40,12)-
c(40,32,20)s(40,48,20)t(24,40,12)+t(32,48,28)*+
t(40,40,20)s(32,40,20)c(24,24,20)c(40,40,20)--*
s(16,32,20)t(32,48,20)c(40,40,20)*t(24,32,20)+-
c(40,32,20)t(48,40,12)-s(48,24,12)-s(40,40,12)-
s(32,32,20)t(24,40,20)t(24,24,20)+*s(16,32,20)*
c(40,32,20)s(32,40,28)t(24,32,28)*s(24,24,28)**
s(24,24,28)s(40,40,28)*c(40,24,20)t(40,16,12)-*
c(40,40,20)c(24,32,20)+s(40,32,28)t(24,24,20)-*
s(32,24,20)c(40,32,12)s(32,40,20)+t(40,40,20)-+
s(48,16,20)s(40,24,28)t(16,40,12)+*t(48,24,12)-
c(32,40,20)s(16,24,20)-s(40,32,28)s(32,48,20)**
s(40,32,28)s(40,40,20)-s(48,24,20)t(40,32,20)--
t(32,48,12)s(48,48,20)s(48,40,20)*+c(32,24,20)-
s(24,32,28)s(24,8,12)+t(32,48,28)*s(40,40,12)+
c(24,40,20)t(48,40,12)+s(24,16,12)+t(24,40,12)-
c(32,32,28)t(32,16,12)t(32,48,28)+s(24,16,20)-*
t(40,48,12)t(40,24,20)s(48,40,20)s(32,32,12)--+
s(16,32,12)s(48,24,20)+s(16,48,20)-t(32,40,28)-
s(48,40,20)t(40,48,20)+s(48,16,20)-s(40,24,20)-
s(24,24,20)t(24,40,28)*t(48,40,12)+t(24,40,28)*
s(24,48,20)c(24,24,20)+t(32,32,20)s(32,40,12)+*
s(16,40,20)s(40,24,28)s(32,40,20)t(40,40,12)-+*
c(24,24,20)s(24,24,20)s(16,40,20)s(40,32,20)-+*
t(32,48,20)s(48,48,12)-s(8,24,12)+c(24,24,20)-
s(40,32,28)s(40,40,20)c(24,16,12)+s(32,40,20)**
c(40,32,20)s(24,40,28)c(32,32,28)**t(24,40,28)*
s(32,48,20)t(32,40,28)s(32,24,20)*c(16,24,12)+-
c(24,40,20)t(24,40,28)+c(32,24,20)*t(24,40,12)+
t(32,32,28)t(24,40,28)*t(40,16,12)c(24,40,12)++
t(24,32,28)t(48,48,12)+c(32,32,12)s(8,24,12)++
s(40,32,28)s(32,40,28)s(24,32,20)*c(32,24,20)*-
c(32,24,20)s(32,40,28)s(16,48,20)--t(24,48,28)-
s(24,24,28)s(24,16,12)-s(32,16,20)t(24,24,20)+*
s(32,24,20)c(32,32,20)s(48,40,12)-s(48,40,20)-*
s(48,24,20)t(32,32,20)+s(40,16,20)*t(32,32,12)-
s(32,40,20)t(24,48,20)+c(48,48,12)c(40,48,12)++
t(32,48,28)s(48,32,12)+t(32,40,28)*s(48,32,12)-
s(48,40,20)s(32,32,28)s(24,32,12)-c(40,32,20)-+
t(24,32,12)c(32,24,20)s(16,32,20)-+t(24,32,20)-
s(40,24,28)s(32,48,20)s(40,48,20)*-t(32,40,20)-
c(24,24,20)s(16,40,12)+t(32,40,28)*s(32,24,28)*
s(40,24,28)t(32,40,20)s(48,16,20)+t(32,32,28)--
s(40,40,28)t(24,48,28)t(32,40,12)-c(24,40,12)+*
s(24,40,28)c(24,24,20)*s(40,40,28)s(32,48,20)*-
t(32,40,20)s(32,48,20)t(24,48,28)*+s(32,32,28)*
s(32,32,20)c(32,40,20)s(32,24,20)c(40,40,12)+**
c(32,40,20)c(32,24,12)-s(24,48,20)t(48,56,12)+*
s(32,32,20)s(32,16,20)c(24,24,12)-s(24,24,20)+*
c(40,32,20)s(40,24,28)s(16,16,20)-*s(32,40,20)-
t(40,48,20)s(24,32,20)-s(40,32,12)c(48,24,12)+-
s(32,40,28)s(24,32,12)s(40,48,20)+-t(40,24,12)-
c(16,16,12)c(24,40,20)+c(24,24,20)s(32,24,28)+*
c(16,24,12)c(40,32,12)+t(48,32,12)-s(24,40,28)*
c(32,40,20)s(48,40,20)*s(16,24,20)c(40,24,20)++
s(40,40,20)t(40,48,20)s(32,32,28)c(48,40,12)---
t(32,32,28)s(40,24,20)t(24,40,20)c(32,32,20)*-*
c(32,32,28)s(48,24,20)s(24,32,12)+t(24,48,28)-*
s(24,48,20)s(24,40,20)c(32,48,12)-s(16,40,20)*+
s(40,40,28)s(32,40,20)t(40,32,20)-s(8,48,12)+-
s(24,40,28)s(16,40,20)s(16,48,20)*c(48,16,12)++
c(40,32,20)s(40,32,28)t(24,32,28)*c(48,40,12)-*
s(24,16,20)s(32,24,20)c(32,48,12)+c(24,24,20)**
t(40,40,20)t(16,40,12)c(40,48,12)t(32,24,20)++*
s(24,24,28)t(16,40,12)s(32,40,20)s(32,32,20)*+-
t(24,48,28)s(32,40,20)*s(40,48,20)s(40,24,28)+*
c(40,24,20)c(16,48,12)s(32,16,12)+t(24,32,20)+-
c(32,40,20)s(32,16,20)-s(40,40,28)t(24,40,28)**
t(24,16,12)t(32,48,20)t(24,40,28)t(40,24,12)+*+
s(16,8,12)s(40,16,20)s(32,24,20)*s(8,48,12)++
s(16,16,20)c(32,32,28)s(32,40,28)s(48,24,12)---
t(32,48,20)s(48,24,20)t(48,24,12)-c(40,16,12)-+
c(40,24,20)s(48,16,20)c(40,32,20)*-t(24,24,12)-
s(40,40,20)c(16,16,12)s(32,32,20)+c(16,32,12)-+
t(32,32,20)s(16,24,12)c(16,32,12)+s(40,40,12)++
t(32,32,28)c(16,48,12)-c(40,40,20)c(24,40,12)-*
s(40,24,20)t(32,32,28)c(48,48,12)-c(32,32,12)--
c(24,24,20)s(16,32,12)-t(40,24,20)+s(24,16,12)-
s(32,24,28)s(24,40,28)+c(32,40,20)-s(40,32,28)-
c(40,40,20)c(32,24,20)s(40,32,28)t(40,24,12)-*-
s(16,40,20)t(24,32,20)+s(40,8,12)+c(40,40,20)-
s(40,40,20)c(48,48,12)c(16,24,12)++s(24,24,28)*
s(24,48,12)s(48,16,20)s(16,32,20)t(32,40,28)+-+
t(32,24,20)c(32,48,12)s(48,40,12)+s(24,40,28)*+
t(24,32,28)c(24,32,20)c(40,24,20)--c(16,16,12)-
s(48,16,20)s(32,32,20)+s(24,32,20)*s(32,48,12)-
s(16,32,20)s(16,24,20)s(24,32,20)t(24,48,12)+*-
c(16,24,12)s(40,24,20)s(24,24,28)s(48,40,20)-*+
c(40,32,20)s(40,24,28)c(32,24,20)s(32,32,12)-**
s(24,40,28)c(24,40,20)c(48,32,12)+s(16,48,12)-*
s(24,24,28)s(24,32,20)c(40,40,20)+*s(32,40,28)*
s(24,32,28)s(32,40,28)*s(32,24,28)s(40,40,28)*-
s(16,16,20)s(16,24,20)c(32,40,20)s(48,32,12)-+*
s(40,32,12)t(24,40,28)+c(16,24,12)-t(24,32,28)+
s(16,16,12)s(32,8,12)c(24,48,12)++s(48,16,20)+
s(32,40,20)s(16,16,20)s(24,24,20)*+t(24,48,28)*
s(24,32,28)s(32,32,28)s(40,16,20)c(32,24,20)**-
s(24,48,20)t(32,48,28)t(24,48,20)s(24,40,20)+**
t(32,48,12)s(8,8,12)c(32,40,12)++c(32,48,12)+
s(24,32,20)t(24,32,28)t(32,40,28)**c(40,48,12)+
s(24,24,28)c(24,24,20)s(48,32,20)+*s(24,32,28)*
c(24,32,20)s(24,40,28)t(32,24,20)-*c(32,40,20)*
s(24,8,12)s(40,40,12)+s(24,32,20)c(40,24,20)*+
c(32,24,20)c(24,24,20)s(24,16,12)s(8,48,12)+-*
s(48,48,12)c(40,32,20)c(40,48,12)-s(32,16,12)-+
t(16,56,12)s(16,16,12)s(24,8,12)++s(40,16,20)-
s(16,48,20)s(16,40,20)c(24,40,20)**s(32,40,28)*
s(16,16,12)t(24,32,28)s(24,24,20)*t(24,48,28)-+
t(16,16,12)c(40,24,20)+s(32,16,20)t(32,24,20)--
c(32,32,20)s(24,40,28)*c(32,24,12)+c(40,24,20)-
s(32,40,28)t(24,40,28)-c(24,40,20)c(24,40,12)--
c(40,48,12)t(16,40,12)+t(48,24,12)+s(32,48,20)*
s(32,40,20)t(40,48,20)s(32,16,20)+c(16,24,12)-*
s(24,40,20)t(24,48,20)+c(32,40,20)*t(32,48,28)*
s(48,48,20)s(40,32,20)s(32,24,20)-t(32,40,28)+-
t(24,40,28)c(24,24,20)*s(48,24,12)+s(32,40,20)*
s(40,40,28)c(24,40,20)t(48,24,12)+s(24,48,20)--
c(32,32,28)s(40,24,28)*t(24,48,12)+s(40,24,28)*
s(32,32,20)s(32,16,12)-s(32,32,28)s(24,40,28)**
s(32,24,20)t(32,40,28)c(24,24,20)c(32,32,20)*+*
s(40,40,28)s(32,40,28)s(24,24,12)-*t(24,40,28)+
s(32,24,12)c(32,40,20)c(40,32,20)*c(48,24,12)-+
s(24,40,28)s(24,24,28)s(32,32,28)c(48,32,12)---
s(40,40,28)c(32,48,12)s(24,16,20)+-c(40,24,20)*
s(32,32,20)t(24,16,12)-c(40,32,20)t(32,24,12)-+
s(40,24,20)c(40,40,12)+c(40,48,12)+s(32,40,20)*
s(24,40,28)c(24,24,12)-t(24,48,28)*s(24,40,20)*
t(40,24,20)t(16,48,12)+c(40,32,20)t(24,48,20)-*
c(32,24,20)c(32,32,20)s(40,16,12)+s(40,32,28)**
s(32,32,28)t(24,24,20)*c(32,24,20)s(24,24,20)-+
t(32,48,28)t(24,40,28)s(24,16,20)t(32,48,20)+*+
c(32,48,12)s(40,40,28)c(32,40,12)-s(40,16,20)-+
t(24,24,20)s(48,24,20)s(48,32,20)*s(24,32,28)-+
c(32,24,20)s(40,32,28)c(40,16,12)s(48,32,12)+**
t(32,48,20)s(24,8,12)+c(32,24,12)+c(32,32,20)*
c(32,40,20)c(24,40,20)s(24,32,12)-s(40,32,28)+*
c(32,24,20)s(40,24,20)c(32,24,12)--s(48,16,12)+
t(24,40,12)s(32,24,20)+s(24,24,28)t(16,24,12)-*
s(48,32,20)t(32,32,28)*s(48,24,20)+t(32,32,28)*
t(32,40,20)s(16,32,12)+c(40,40,20)c(48,24,12)+*
s(8,24,12)c(24,40,12)+s(16,16,20)s(16,24,20)+*
t(16,40,12)c(48,16,12)+s(16,32,12)-s(48,24,20)+
t(40,40,20)s(24,40,28)t(32,48,20)-+c(32,24,20)*
c(24,24,20)c(32,24,20)t(32,24,20)--s(32,24,20)*
t(24,32,20)c(40,40,12)+s(24,40,20)s(48,32,20)-+
t(32,32,28)s(32,40,12)-c(40,40,20)t(32,32,20)*-
s(40,24,20)c(24,32,20)c(40,16,12)-s(24,40,20)*-
c(40,32,12)t(24,32,20)t(24,16,12)t(40,32,12)+++
t(32,32,28)c(40,16,12)+c(40,24,20)+s(24,32,28)*
s(48,16,20)t(32,32,20)-t(40,32,20)s(48,32,20)*-
s(16,32,20)s(24,40,28)t(32,32,20)*-t(32,48,28)+
s(16,40,12)c(40,32,20)+s(24,24,20)s(32,8,12)+*
s(24,40,28)c(24,32,20)s(40,24,20)*-s(8,24,12)-
s(24,8,12)s(16,40,12)c(40,40,20)++c(40,32,20)*
t(24,32,28)t(40,40,12)c(16,40,12)+*t(32,32,28)*
t(32,32,20)c(24,40,20)t(48,16,12)t(24,32,20)+--
s(32,32,28)c(32,40,20)t(24,40,28)c(16,32,12)-**
s(24,24,28)c(24,40,20)c(24,40,12)-*t(32,32,12)+
t(32,24,20)t(40,32,20)+t(40,32,12)-s(16,24,20)-
c(32,24,20)c(24,32,20)c(40,48,12)+s(40,48,20)-*
c(40,16,12)s(24,32,28)+t(40,48,20)-c(40,32,20)-
s(32,40,20)t(24,48,20)+s(40,40,28)c(40,24,20)**
c(40,32,12)c(40,24,20)s(40,32,28)s(48,40,20)*-+
s(40,40,28)c(32,32,28)t(40,32,12)c(48,40,12)+-*
c(32,24,20)c(40,32,20)*c(48,40,12)+s(24,40,28)-
s(24,40,20)s(32,40,20)+t(48,16,12)+t(24,32,20)*
c(24,24,20)s(32,24,28)*t(24,32,20)*c(16,40,12)+
s(32,16,20)t(40,32,20)-s(32,24,12)t(48,32,12)++
s(40,32,28)c(48,24,12)s(24,32,20)+s(16,16,20)-*
t(24,48,28)t(32,48,28)t(24,24,20)-s(24,40,20)-+
c(40,32,20)t(40,40,20)t(32,32,12)-*s(16,24,20)+
s(40,32,28)s(32,40,28)+c(16,32,12)-s(16,48,20)+
t(32,48,20)s(24,24,20)+t(24,40,28)-s(48,8,12)+
s(40,16,20)c(32,48,12)s(24,40,12)++t(24,40,12)-
c(24,40,20)t(48,16,12)s(32,48,12)+-c(48,40,12)+
s(48,40,20)s(24,40,28)s(40,40,28)-c(48,40,12)+*
c(48,24,12)c(24,24,12)+s(32,48,12)t(24,40,12)++
s(32,48,12)s(24,32,20)s(32,40,20)*+c(32,32,20)*
t(32,40,28)t(32,48,28)s(24,40,28)*-t(32,40,20)+
c(40,40,20)s(48,24,20)*t(24,24,20)+s(40,40,20)-
s(24,24,28)s(24,16,20)c(48,32,12)+c(48,24,12)+*
c(32,32,28)s(48,24,20)-t(40,48,20)s(24,40,28)+*
s(24,16,20)s(32,40,28)s(32,24,20)s(24,24,20)*-+
t(24,40,28)s(40,48,12)t(16,24,12)s(8,40,12)++*
s(32,16,20)t(32,24,20)*s(40,24,12)+s(40,40,28)+
c(48,24,12)s(24,24,12)+s(48,24,20)t(40,24,20)+*
c(24,24,20)t(40,16,12)-s(16,40,20)-s(48,40,20)+
s(16,24,20)c(24,24,20)s(24,40,20)*s(16,16,12)+*
s(32,40,28)t(24,48,20)-s(32,32,20)s(24,24,20)*-
c(32,32,20)s(32,24,12)-s(16,32,20)t(32,32,20)+*
c(32,32,28)s(24,32,28)s(24,32,20)-s(40,40,28)--
s(16,8,12)s(24,32,20)c(40,32,20)*+s(40,24,28)*
t(32,40,28)s(24,8,12)c(32,40,20)+*s(32,48,20)*
c(32,32,28)t(24,48,28)t(40,48,12)-s(24,48,20)**
s(24,24,20)t(32,40,20)s(32,24,28)s(32,40,20)-+*
t(32,40,28)c(24,32,20)*s(16,32,20)-s(24,16,20)+
s(40,48,20)s(16,48,20)+c(32,24,20)-s(40,48,12)-
s(40,32,12)t(24,40,20)+s(48,32,20)+c(24,24,20)-
c(40,40,20)s(24,48,12)-s(24,48,12)c(24,32,12)+-
t(32,24,20)s(16,48,20)+s(32,32,28)s(24,24,28)**
s(40,40,28)s(16,40,20)t(32,40,20)+t(16,56,12)+*
c(48,16,12)s(24,32,20)+t(24,48,28)s(40,32,20)--
s(32,24,28)s(48,48,12)s(32,16,20)+-s(40,16,20)-
c(32,40,20)t(24,24,20)s(32,8,12)-+c(40,32,20)*
t(32,32,28)c(24,24,12)s(8,40,12)+-c(40,24,20)*
s(32,32,28)s(32,48,20)+s(16,32,20)+s(16,48,20)-
s(24,16,20)s(8,16,12)-s(32,24,20)t(24,48,12)+*
s(16,16,20)s(24,24,28)t(32,32,28)*s(40,32,28)*-
t(24,32,28)t(40,32,12)s(24,24,12)+t(32,16,12)--
c(48,32,12)s(48,32,20)c(32,40,20)*+s(32,32,12)-
t(24,24,12)t(24,48,28)+s(48,24,12)+s(40,48,12)-
s(32,40,28)c(40,24,20)-s(48,48,20)s(24,24,20)+*
t(32,40,28)s(32,32,20)s(24,32,20)t(32,48,12)++*
s(32,32,28)s(48,16,12)-t(40,40,12)-t(24,40,12)-
c(40,40,20)t(32,48,28)s(48,32,20)s(32,48,12)+*-
s(24,40,28)c(32,32,28)*s(32,40,28)t(40,24,20)--
s(48,32,20)t(48,40,12)s(24,48,12)+-c(32,40,12)-
c(32,32,28)s(16,32,20)*s(16,40,12)c(32,32,20)+*
c(40,24,12)s(24,40,20)+s(40,16,12)+t(32,40,20)*
c(24,40,20)s(32,40,28)s(48,32,12)-s(24,24,28)*-
t(40,32,12)s(40,16,12)s(48,48,20)+s(40,48,20)*+
s(24,40,28)s(24,16,12)+t(32,40,28)*s(48,16,20)+
c(40,24,20)s(24,24,28)s(24,32,28)*c(16,40,12)--
s(40,24,12)t(40,48,20)+t(24,48,20)-s(24,32,12)+
t(32,32,28)c(40,32,20)*s(8,16,12)s(48,24,20)+-
c(24,24,20)c(40,24,20)-s(32,48,20)s(48,48,12)--
s(32,40,20)s(24,40,20)*t(24,48,28)*t(24,32,28)+
s(48,24,20)t(40,24,20)+c(16,40,12)+s(32,16,12)-
s(40,40,28)t(24,40,12)s(24,8,12)+-c(32,24,20)*
s(24,40,28)s(48,24,20)s(32,24,20)*+s(32,40,28)*
s(24,40,20)c(40,40,20)s(40,24,28)*-t(24,40,12)-
t(24,24,20)t(24,48,20)c(32,32,28)s(40,24,20)-*+
s(48,16,20)s(40,40,28)+s(48,40,12)-t(32,32,28)-
c(32,40,20)c(24,40,20)*s(16,32,20)s(40,40,12)++
s(40,32,20)t(24,40,28)s(32,24,20)t(32,24,12)---
t(48,48,12)c(32,24,20)t(32,40,28)s(24,40,28)**+
s(40,40,20)s(32,32,20)t(24,32,28)+t(40,48,20)-+
s(40,24,28)s(24,32,28)c(16,32,12)-s(32,32,28)+*
c(32,40,20)c(48,32,12)-t(32,48,28)s(24,32,20)-+
c(48,32,12)t(32,32,12)+s(48,40,20)*t(32,32,28)+
c(32,40,20)s(24,32,28)s(40,24,28)s(8,40,12)+**
c(32,40,20)s(32,32,20)c(24,32,20)**t(40,24,20)+
c(32,32,28)s(40,32,12)-s(16,40,20)*t(24,40,28)+
c(32,32,12)s(48,8,12)+s(24,32,28)c(32,32,20)**
s(40,40,12)s(48,24,20)+s(32,16,20)s(16,32,12)+-
s(32,24,28)t(24,48,28)s(40,16,12)s(48,32,12)++*
t(32,48,28)c(16,48,12)-s(32,40,20)s(32,24,20)+*
t(32,24,20)t(32,40,20)t(40,32,12)t(48,56,12)+--
s(48,24,20)s(32,32,28)s(40,32,28)*t(40,40,12)-*
c(24,40,20)s(24,24,20)t(24,40,20)s(48,32,12)+-+
t(32,48,20)s(48,24,20)s(40,32,28)*+s(48,32,12)-
c(24,32,20)c(32,32,12)s(40,16,20)+t(16,56,12)+-
s(24,32,20)c(40,32,20)t(32,32,28)**c(16,40,12)+
t(40,56,12)s(32,24,20)t(32,32,28)*s(24,32,20)++
s(32,40,28)s(40,24,28)t(16,16,12)+c(40,40,20)*-
c(24,40,20)c(24,24,20)s(48,48,12)+t(40,24,12)-+
c(40,32,20)c(16,24,12)c(24,40,12)+s(32,32,28)*-
s(32,40,12)s(32,40,28)t(16,16,12)+t(24,24,20)*+
s(32,32,28)s(16,8,12)s(16,24,12)s(48,32,12)++*
s(32,32,20)t(24,48,20)c(32,40,20)s(8,8,12)+*-
s(24,24,28)s(32,40,28)*s(32,32,20)s(40,16,12)-*
s(32,24,28)t(48,32,12)-t(32,40,12)s(40,16,12)+*
s(48,32,20)s(8,8,12)+t(32,32,12)s(8,16,12)+-
s(32,32,28)s(40,48,12)-c(24,32,20)s(32,48,20)+*
s(40,40,28)c(48,32,12)-c(40,32,20)c(32,16,12)+-
c(32,40,20)t(40,40,20)s(48,16,20)++t(32,32,28)-
c(24,32,12)s(40,40,20)s(32,40,20)*t(32,32,28)*+
t(24,32,28)t(32,32,28)t(24,40,20)-s(16,24,20)-+
s(16,8,12)t(32,32,20)t(40,40,12)+s(16,24,20)-+
t(24,56,12)s(40,40,28)s(24,48,20)s(24,40,20)**+
t(40,32,12)t(16,48,12)+t(32,32,28)+s(24,40,12)-
t(32,32,28)s(32,24,28)*s(32,32,20)*t(24,40,12)-
c(40,24,20)c(24,24,20)*s(40,32,20)c(32,24,20)**
s(48,48,20)s(24,16,20)+s(24,24,28)s(40,32,12)--
s(40,24,12)c(24,32,20)t(32,16,12)-+c(40,32,20)*
s(24,24,28)t(40,56,12)s(24,48,20)c(32,40,20)*+-
s(48,24,12)c(32,32,20)s(24,24,28)s(24,40,12)-*+
c(24,24,20)s(32,32,28)t(16,24,12)-*c(24,24,12)+
s(48,8,12)s(32,40,28)+s(24,48,20)*t(40,48,12)-
s(16,40,12)t(48,32,12)+c(40,16,12)+c(48,40,12)-
t(24,16,12)s(24,16,20)s(24,40,28)s(24,24,28)*-+
c(32,24,20)s(16,32,20)c(24,32,20)*t(32,32,28)*+
s(24,40,20)s(24,32,28)s(16,24,20)t(24,48,12)+**
c(40,16,12)s(16,48,20)+c(24,16,12)c(40,40,20)++
s(48,16,20)t(40,32,20)s(32,40,28)*s(32,16,20)+*
c(16,16,12)t(16,32,12)+c(40,40,20)s(40,32,12)-+
s(32,16,20)c(32,32,28)s(24,48,12)-c(32,32,20)*+
s(24,40,20)s(32,40,28)t(32,32,28)c(40,24,12)+*+
c(32,32,12)c(16,24,12)+s(32,48,20)t(24,40,20)++
s(48,8,12)s(32,40,28)s(32,32,28)++c(40,40,20)*
c(32,32,20)s(48,48,20)s(40,40,20)*-t(24,32,28)*
c(24,40,20)t(32,40,28)s(32,32,28)*c(24,24,12)-*
c(48,48,12)c(32,24,20)s(24,16,20)*t(32,48,28)-+
s(32,40,20)s(32,24,28)c(32,32,20)t(24,24,20)*-+
s(24,24,28)s(24,40,20)s(32,40,12)--s(32,40,28)*
s(24,32,28)c(24,16,12)-c(32,32,20)c(16,16,12)-*
c(40,32,20)s(40,24,20)s(48,16,12)-*s(24,48,20)-
c(24,24,20)s(40,40,28)c(24,48,12)--s(48,24,20)-
t(48,32,12)s(24,24,28)t(32,32,28)-+s(32,24,20)+
s(40,40,20)t(40,24,12)-s(32,32,28)t(24,16,12)-*
s(32,24,20)c(40,40,12)-t(32,32,20)+s(40,32,12)-
s(48,24,20)s(32,24,20)*s(16,32,20)t(24,48,20)-+
s(32,40,20)c(32,48,12)c(24,16,12)+c(16,24,12)-+
c(32,40,20)t(32,48,12)-s(24,40,28)*s(32,48,20)*
c(32,32,28)s(16,40,20)s(8,48,12)-s(16,32,20)*-
t(24,40,28)c(40,48,12)s(24,40,20)+*s(24,16,12)+
t(32,32,20)c(40,24,20)s(40,32,20)s(32,32,20)***
c(32,32,20)t(40,32,12)s(40,16,12)+-s(16,48,12)-
t(24,56,12)s(48,16,20)s(16,16,20)c(16,24,12)-++
s(48,8,12)t(48,16,12)+s(32,16,20)+c(32,32,12)-
s(32,40,28)s(48,32,20)*s(32,24,12)t(40,24,20)++
t(40,32,20)s(40,24,20)c(16,40,12)+*t(48,48,12)+
s(24,32,12)c(40,16,12)+c(24,40,12)s(32,16,12)++
s(24,48,20)s(40,48,20)*s(48,24,12)+s(48,48,20)+
s(48,40,20)s(48,32,20)*t(48,56,12)+t(40,48,20)+
s(24,40,20)s(48,32,20)s(32,24,28)s(16,32,20)++*
c(16,40,12)t(24,16,12)+t(32,48,28)t(24,24,20)++
s(40,32,28)s(32,16,20)t(32,32,20)--t(16,48,12)+
t(24,32,28)t(24,40,20)s(24,24,20)+c(40,16,12)+*
t(24,48,28)s(40,48,20)*c(24,16,12)+t(24,32,28)*
s(40,48,20)s(32,48,20)t(32,40,28)*t(32,16,12)+*
c(24,24,20)s(48,24,20)s(40,24,20)*t(32,48,28)--
c(40,24,20)c(32,32,20)c(40,40,20)+*s(16,16,20)-
s(40,24,20)t(40,16,12)-s(32,24,12)+t(40,32,20)-
t(32,32,28)s(24,24,28)t(32,48,20)+*t(16,32,12)-
s(16,48,20)c(32,32,28)+s(32,32,20)-s(48,40,20)*
s(24,40,28)s(16,24,12)-t(40,56,12)c(40,32,20)+*
c(24,40,20)s(48,48,20)-t(24,32,20)c(16,40,12)+*
s(40,40,12)t(24,48,12)c(16,24,12)++t(40,40,20)-
c(24,24,20)t(40,40,20)-s(24,16,20)*t(24,32,20)+
s(40,24,20)c(32,24,20)c(40,40,12)-t(40,24,20)*-
s(40,8,12)c(16,48,12)+t(48,56,12)+c(48,48,12)-
s(32,40,28)t(40,40,12)s(16,40,12)+-c(40,40,12)-
c(40,40,20)t(32,48,28)*t(32,24,20)c(48,32,12)+-
s(48,48,20)c(40,32,20)*s(32,24,28)+c(24,32,20)+
c(32,32,28)t(24,24,20)-t(32,32,20)-s(48,24,20)*
c(32,24,20)s(32,40,28)t(32,48,28)+c(40,32,12)--
c(24,48,12)s(40,32,20)+s(40,40,28)*s(32,24,20)*
c(24,32,20)s(32,24,28)s(32,32,12)-c(24,16,12)--
t(32,40,28)c(24,32,20)*s(40,16,20)s(32,32,28)*-
t(24,48,28)s(40,16,12)+c(40,32,20)c(32,32,20)**
c(24,32,20)s(48,24,20)c(24,24,12)+s(24,24,20)+*
t(24,40,20)t(24,32,28)c(40,32,20)-+s(24,32,12)-
t(16,32,12)s(40,24,28)s(24,16,20)-+s(40,8,12)-
t(24,48,28)t(24,40,28)t(32,40,28)s(24,24,12)+*-
s(40,24,20)c(40,40,20)s(48,16,20)+*s(40,8,12)-
s(24,32,20)t(32,32,28)s(32,40,28)c(24,32,20)***
c(16,24,12)s(24,48,12)+s(40,40,28)+s(32,24,28)*
s(48,16,20)t(32,48,28)t(32,32,20)+-s(8,40,12)+
t(32,32,12)c(32,32,20)c(32,40,12)-+t(16,40,12)-
t(24,56,12)t(24,32,28)t(40,40,20)-+c(48,16,12)+
s(48,40,20)s(40,40,20)s(16,32,20)-t(48,48,12)-*
s(48,48,20)c(32,32,12)s(40,24,20)+s(48,24,20)*-
s(24,8,12)t(32,48,28)s(40,48,20)t(24,32,28)+*+
s(24,16,20)s(40,16,20)s(40,40,28)+s(40,32,20)--
c(32,32,28)s(32,16,12)-c(24,24,12)-s(24,24,12)+
s(32,32,28)t(24,40,12)-c(32,24,20)s(40,16,12)-*
c(16,40,12)t(24,40,12)+s(40,40,20)+s(24,32,20)*
t(32,40,20)s(40,48,20)+s(24,32,20)c(24,40,20)+-
t(24,48,28)c(24,32,20)c(40,24,20)*-t(24,40,20)-
s(40,48,12)c(32,40,12)+s(16,48,20)+t(24,32,28)*
s(48,24,20)s(40,48,20)-s(32,48,20)+t(32,32,28)*
c(24,24,20)s(24,32,20)t(40,32,20)-t(24,32,20)+*
s(24,32,28)s(32,24,28)s(40,24,28)s(16,32,12)+**
t(24,48,28)c(32,16,12)t(16,56,12)++s(24,24,20)*
t(16,56,12)s(40,32,12)s(40,16,12)++c(40,24,20)*
t(24,48,28)s(8,24,12)+s(32,40,28)*s(16,40,12)-
t(24,40,28)s(40,48,12)-s(24,32,28)c(24,16,12)-*
t(32,24,20)s(16,8,12)t(32,32,12)+s(48,8,12)+-
s(24,24,12)s(24,40,20)t(24,48,20)*+t(48,40,12)+
s(40,32,28)t(40,40,12)c(32,32,12)+-s(24,16,20)-
t(32,40,28)t(24,48,20)t(48,16,12)t(40,40,20)++*
c(40,16,12)c(32,40,20)t(24,32,20)-+s(32,32,20)-
s(24,40,20)c(32,32,20)+c(32,40,12)-s(48,8,12)+
t(24,24,20)s(24,40,28)*s(40,16,12)+c(32,24,12)+
s(24,16,20)t(16,48,12)+s(32,16,12)-s(24,48,20)-
s(16,40,20)c(48,48,12)s(40,16,20)+s(24,32,28)+*
t(16,16,12)t(32,40,28)t(24,24,12)++s(40,32,28)*
s(40,24,20)t(24,48,20)t(32,32,20)-t(32,32,28)+*
t(32,32,20)s(32,48,20)+s(40,40,28)s(32,24,28)-*
t(32,40,28)c(48,24,12)s(32,40,20)+s(32,48,12)--
t(32,24,20)c(16,48,12)s(48,40,20)+s(32,32,28)*-
c(40,40,20)s(32,24,20)t(40,32,12)--s(8,8,12)+
c(48,40,12)s(40,16,12)+s(40,40,20)+s(24,40,20)-
s(48,32,20)c(16,40,12)+s(48,48,20)+c(40,24,20)-
c(40,24,20)s(48,8,12)-s(32,32,28)*s(32,40,20)-
t(40,40,20)c(24,40,12)-s(16,40,20)+t(40,40,20)*
s(32,32,28)s(24,16,12)-t(24,48,28)s(40,48,20)+*
s(40,32,20)s(40,24,20)*t(40,40,20)+t(32,40,28)*
c(32,40,20)s(32,32,28)s(40,48,20)*-s(32,32,12)+
s(40,32,28)s(32,32,28)c(24,32,20)s(32,40,20)*-+
s(40,32,12)s(24,24,12)c(40,24,20)s(24,24,28)*++
s(16,16,20)c(16,24,12)s(8,24,12)+-c(40,48,12)+
c(40,24,20)s(48,24,20)*s(24,48,20)+s(16,40,20)+
s(40,16,20)s(40,24,20)*s(24,40,28)c(40,48,12)--
t(48,16,12)c(40,40,12)t(40,56,12)++s(48,32,12)+
s(48,32,20)c(24,24,12)+s(48,24,20)s(16,24,12)+*
c(32,32,28)c(24,24,20)t(32,48,28)s(32,24,28)+*-
s(16,8,12)c(16,32,12)+s(32,32,28)c(40,40,20)--
s(48,24,12)s(32,48,20)t(24,24,12)++s(32,24,28)-
c(24,40,20)s(24,24,28)c(24,32,20)*s(40,24,20)-*
s(40,32,20)s(16,40,20)-t(32,48,28)+c(24,32,12)+
s(32,24,28)t(16,24,12)s(40,24,20)+s(48,16,20)**
s(24,16,20)s(24,24,20)c(32,24,20)s(8,48,12)+**
t(48,56,12)t(24,16,12)+t(32,16,12)+s(24,16,12)+
s(8,48,12)s(40,24,28)+t(40,40,20)-t(32,32,28)+
c(24,24,20)c(40,16,12)s(32,24,12)t(24,40,12)++*
s(40,32,20)s(16,24,20)c(24,40,20)-t(32,48,20)+-
t(16,40,12)s(48,32,20)+s(24,32,28)+s(32,40,28)-
c(40,24,12)t(48,48,12)+c(16,40,12)t(40,16,12)+-
t(40,40,20)t(24,32,28)t(32,24,20)-+s(40,32,20)*
c(32,32,20)t(24,32,20)c(16,16,12)--c(24,40,12)-
s(32,16,20)t(40,24,20)-s(32,24,28)s(24,32,20)-+
t(32,32,28)c(16,24,12)-s(40,32,12)-t(24,16,12)+
s(32,32,28)s(32,16,20)+c(32,40,12)-t(40,32,20)-
s(48,24,20)s(32,40,28)c(24,24,20)*c(32,16,12)--
s(48,16,20)s(16,24,20)s(8,40,12)-s(32,32,28)++
s(24,48,20)c(16,40,12)t(40,32,12)+t(16,48,12)--
s(24,8,12)s(40,8,12)s(48,48,12)+t(32,40,28)++
c(32,40,20)s(32,48,20)s(24,24,28)--s(24,24,28)*
s(24,24,20)s(24,8,12)-t(32,32,28)*s(48,40,20)-
s(40,40,28)s(32,40,20)t(48,16,12)s(32,48,12)+-*
s(32,40,20)t(32,32,20)s(40,8,12)c(32,24,12)++*
s(40,40,28)t(48,32,12)-c(32,24,12)-t(32,40,28)*
t(32,32,28)c(40,32,20)s(40,24,20)t(40,24,12)-*+
t(40,56,12)c(48,24,12)+s(40,40,20)c(40,32,12)--
s(24,24,20)s(16,8,12)+t(16,40,12)s(16,24,20)+*
s(32,16,12)s(32,40,28)+s(48,32,12)-c(40,40,12)-
s(48,48,20)t(24,40,28)-s(24,48,20)+s(48,40,20)*
s(40,40,20)t(32,32,28)t(48,56,12)s(24,40,28)+*-
s(24,48,20)s(40,32,28)s(24,24,28)*s(24,40,28)*+
c(24,40,12)c(40,40,20)+s(24,32,28)t(32,24,20)-*
s(40,40,20)c(24,40,20)s(32,40,28)*s(16,16,20)-*
s(8,32,12)s(40,48,20)+t(40,40,20)s(24,8,12)+-
c(24,40,12)s(40,24,12)t(32,32,20)++s(24,24,28)+
s(16,16,12)s(32,24,20)s(48,16,12)-+s(40,48,20)+
s(40,32,20)t(40,40,12)-c(32,32,28)s(16,32,20)-+
s(24,32,28)s(40,24,12)-c(24,32,20)*c(40,40,20)*
s(32,32,28)s(32,40,28)t(32,48,28)s(16,48,20)+**
s(48,40,20)s(8,16,12)c(16,40,12)++s(48,24,20)-
s(40,32,20)t(32,48,12)t(40,32,20)t(40,48,20)-+*
s(16,32,20)s(24,32,28)s(40,40,20)-c(40,16,12)-*
s(40,16,12)s(40,32,20)s(16,24,20)-c(32,48,12)-+
s(24,16,20)c(24,32,20)*c(16,24,12)+s(16,32,12)+
s(48,24,20)t(32,40,20)s(16,40,12)++s(32,40,28)+
s(24,40,28)c(24,48,12)-s(24,32,20)t(24,24,20)+*
t(40,32,12)s(32,40,28)s(40,32,12)-+s(48,48,20)*
s(24,40,28)s(24,16,12)c(24,32,12)+-s(40,32,28)-
t(40,16,12)s(24,40,20)+s(48,32,20)+c(32,48,12)-
c(40,24,20)t(32,48,28)c(32,40,20)s(40,48,20)**-
c(32,40,12)s(40,24,28)s(24,24,28)*+s(16,16,20)-
s(24,48,12)c(16,32,12)+s(24,24,28)c(48,24,12)+*
t(24,48,28)s(16,40,12)-c(48,16,12)+s(32,48,12)-
t(24,56,12)t(24,40,20)s(16,48,20)s(16,32,20)*++
s(32,40,28)s(40,32,28)*c(32,24,12)s(48,40,12)+*
s(48,48,12)c(40,16,12)s(24,40,12)+s(32,8,12)-+
s(32,32,28)c(32,32,12)-s(24,16,12)+s(48,32,20)+
t(24,32,28)s(16,24,12)t(24,24,20)+c(32,40,12)-*
t(24,40,20)s(40,16,20)+s(32,40,28)s(8,16,12)+*
s(32,40,28)s(40,24,28)-t(16,48,12)t(32,32,28)+-
s(24,24,28)t(32,32,12)s(16,32,20)s(8,32,12)-+-
s(16,16,20)t(16,32,12)c(48,16,12)++t(16,56,12)+
t(32,40,28)c(40,16,12)+s(32,40,28)s(48,40,20)-*
c(24,40,12)c(40,24,12)+s(40,24,28)*t(24,40,12)+
s(48,24,20)c(32,32,20)s(24,8,12)t(24,40,12)+--
s(40,16,20)t(24,48,12)+c(32,40,20)t(24,24,20)-+
c(32,32,20)s(32,32,20)s(16,8,12)t(24,32,20)+--
s(40,48,20)t(24,40,28)+s(24,48,20)c(16,48,12)-*
s(40,32,20)c(40,32,12)t(32,48,28)+*s(40,40,20)*
t(24,40,20)s(24,48,20)c(24,40,20)*t(32,40,20)+*
c(32,32,20)c(16,48,12)t(24,32,20)++s(40,24,20)*
t(24,40,20)c(40,40,20)s(32,16,20)+s(40,16,20)*+
c(32,40,20)c(32,24,20)s(32,16,12)-c(24,40,12)--
s(48,32,20)c(32,16,12)-c(32,32,28)*c(40,40,20)*
c(32,24,20)s(48,40,20)+c(32,24,20)t(32,40,28)--
s(40,8,12)c(24,24,12)+s(24,32,20)t(32,40,28)*-
s(32,40,20)t(24,32,20)t(32,32,28)*s(48,40,20)++
t(24,32,12)s(24,48,20)t(24,40,28)*s(32,40,20)*+
s(16,40,20)s(24,32,28)s(32,24,20)-*t(24,32,20)+
s(32,32,28)c(32,24,12)s(40,32,12)+-s(24,32,12)+
c(48,40,12)s(48,8,12)+t(24,32,28)-t(24,40,12)+
s(16,8,12)s(32,48,12)t(32,40,20)++s(32,24,12)-
c(48,40,12)t(32,32,12)+s(16,40,20)+c(32,40,20)*
t(40,48,20)t(32,48,12)s(48,48,20)c(40,40,20)*+*
s(32,24,20)c(32,40,12)+t(32,24,12)-t(24,40,28)*
s(24,48,20)c(32,32,28)s(40,24,28)*t(48,32,12)--
c(32,32,28)s(48,40,20)*s(32,40,20)*t(24,48,28)+
s(32,16,12)t(24,40,28)+c(32,40,20)s(24,16,20)+*
s(24,32,28)t(32,48,28)c(24,40,12)--s(24,24,20)*
t(32,40,28)s(8,16,12)+c(24,32,20)*t(40,24,12)+
t(16,40,12)s(32,40,12)+t(32,32,28)t(32,16,12)-*
c(48,48,12)t(24,24,12)t(40,40,12)++s(40,24,12)+
s(32,24,28)t(24,32,28)c(32,32,20)s(48,24,12)+++
t(24,32,20)s(16,48,12)s(40,40,28)s(32,32,20)*+*
t(32,48,20)s(16,24,12)+s(24,48,20)t(32,48,28)**
s(40,40,28)s(32,24,28)s(32,8,12)-s(24,24,28)+*
s(32,32,20)s(24,8,12)+t(40,32,20)*c(24,24,20)+
s(40,24,28)s(16,24,20)-s(32,16,20)t(32,48,20)+*
s(40,24,28)t(24,48,28)t(40,32,20)+*s(16,16,20)+
c(40,40,20)t(40,24,20)s(40,32,20)t(24,32,28)*+*
s(16,32,20)s(24,24,20)s(40,24,28)*+s(32,16,12)-
c(16,32,12)s(40,32,28)t(40,32,20)-+t(40,48,20)-
s(16,40,12)t(24,40,20)+s(16,24,20)c(24,32,20)*+
s(24,32,20)t(48,24,12)+s(32,48,20)s(16,32,20)+*
t(24,32,28)s(40,24,12)s(8,32,12)+-c(24,16,12)-
t(24,48,28)s(40,40,28)*s(24,24,28)s(16,16,20)*+
s(40,24,28)s(32,24,20)s(24,16,12)c(40,24,12)++*
t(24,40,28)s(32,32,20)s(32,32,28)c(24,40,20)--*
s(40,40,28)c(24,32,20)t(24,32,28)c(16,32,12)--+
c(40,48,12)t(24,32,20)+t(24,24,20)t(16,40,12)+*
c(32,24,12)s(24,32,28)c(40,32,12)-+t(32,40,28)*
c(32,32,20)c(24,24,20)s(24,40,20)-c(16,40,12)+-
s(40,40,28)s(24,40,20)-s(48,32,20)c(32,32,20)*-
t(32,24,20)s(32,40,12)-c(32,48,12)+t(32,32,28)*
s(16,48,20)c(32,32,20)s(24,40,28)*-t(16,48,12)-
c(32,32,20)t(40,24,20)*t(24,48,28)+c(32,32,20)*
c(40,32,20)t(40,24,20)-c(32,32,20)t(48,56,12)+*
t(24,24,20)s(24,8,12)-s(40,24,28)c(32,24,20)*+
c(32,32,20)c(40,32,20)s(16,40,20)s(24,32,20)*-*
t(32,32,28)s(48,40,12)-t(24,16,12)-c(40,16,12)-
s(16,16,20)c(24,24,20)c(24,40,20)-c(32,32,28)*-
c(40,32,12)s(40,24,12)+s(40,48,20)s(24,48,20)--
c(32,32,20)s(32,24,12)-c(24,40,12)-c(40,16,12)+
s(16,16,20)c(32,40,20)s(32,40,28)t(24,48,28)--+
c(24,48,12)c(24,40,20)s(32,24,28)s(48,24,20)-*+
s(32,16,12)t(32,32,12)+s(16,16,12)+s(32,48,20)-
s(40,16,20)t(24,24,12)-s(40,24,28)s(24,24,28)+*
s(40,8,12)s(32,24,28)s(24,16,20)-+s(24,40,20)-
t(32,32,28)s(24,40,20)*s(32,24,12)+s(40,40,12)-
c(40,40,20)s(40,48,20)s(40,24,20)-+s(48,40,20)+
t(32,48,28)s(32,48,20)s(40,32,28)s(32,32,28)***
t(24,32,28)t(24,48,28)-c(40,48,12)-s(48,40,20)-
s(40,32,28)c(32,32,20)s(16,24,20)+*t(40,40,20)*
t(16,24,12)t(32,32,20)t(24,32,28)c(40,24,20)--+
t(32,40,28)s(40,24,20)t(32,32,28)*-s(32,32,20)-
t(24,16,12)s(24,48,20)s(24,24,20)s(48,32,12)+-+
c(40,32,20)s(8,24,12)s(40,32,28)c(32,32,12)-+*
s(24,32,20)s(32,40,28)c(32,32,20)*s(40,24,28)*-
c(32,32,28)s(48,32,12)c(48,48,12)+t(40,56,12)--
s(24,48,20)s(24,48,20)t(24,40,20)*c(24,16,12)+*
c(40,32,12)s(40,40,28)c(40,40,20)s(32,48,20)*-+
s(16,32,20)c(32,32,28)*c(48,40,12)+c(40,40,12)-
c(40,40,12)s(24,48,20)s(32,40,28)*s(32,24,20)-+
t(24,32,20)c(48,32,12)+c(48,24,12)-t(24,32,28)*
s(24,40,28)s(16,40,20)s(32,32,20)+*t(32,40,28)+
c(32,32,20)t(32,48,28)s(40,48,20)*c(32,24,12)+*
s(32,24,28)s(32,16,20)s(48,32,20)--s(32,16,20)+
s(40,32,20)s(32,48,12)+t(24,32,28)s(24,16,20)++
s(40,32,28)t(40,40,12)c(16,48,12)+-s(32,40,20)-
s(24,24,28)s(16,24,20)s(16,40,20)*-s(32,16,20)*
t(40,32,20)s(24,40,20)c(16,32,12)-t(32,24,12)--
s(32,32,28)s(24,48,12)t(24,48,12)s(24,24,20)++*
s(40,32,20)s(24,40,28)*t(48,48,12)+t(16,32,12)+
t(32,32,28)t(24,40,20)c(32,40,12)+t(24,32,28)*-
t(24,40,20)t(32,40,28)s(24,40,12)-+c(40,32,20)*
s(40,16,20)c(32,24,20)c(32,32,20)*s(48,32,12)--
c(24,24,20)s(16,40,20)-s(48,24,12)-t(32,32,20)-
s(32,16,12)s(24,32,20)+c(32,24,20)+c(40,24,12)-
s(48,40,20)c(32,40,12)-c(32,48,12)+s(40,48,20)-
c(40,24,20)s(24,40,28)s(24,24,28)*t(24,24,20)*-
t(40,16,12)t(32,48,28)+c(32,48,12)s(16,24,12)+-
c(32,40,20)s(32,8,12)+c(40,24,20)-s(48,16,20)+
s(40,16,12)c(24,32,12)+t(40,40,20)+s(40,40,20)*
s(24,40,28)t(32,48,12)-s(40,32,28)+c(40,32,20)-
c(40,32,20)t(24,40,28)-t(32,40,20)c(40,24,12)+*
c(24,40,20)s(48,24,20)-c(40,40,20)*t(32,32,20)+
s(40,48,20)s(40,24,20)s(24,40,20)-s(32,48,20)++
s(24,24,28)s(16,16,20)c(32,32,28)*-s(40,32,28)-
s(24,32,20)s(48,24,20)+s(32,24,12)-c(16,24,12)-
t(32,40,20)t(40,32,12)+s(24,24,28)s(16,16,12)-*
c(32,32,20)t(32,32,12)s(8,24,12)+-s(32,16,20)-
c(32,32,28)s(40,32,12)-t(48,24,12)c(48,48,12)+*
s(24,48,20)s(32,40,28)s(24,40,20)t(24,32,12)-**
t(24,16,12)t(48,56,12)c(40,24,20)s(40,40,28)*++
s(24,32,28)s(24,32,20)s(40,40,20)c(32,32,12)+*-
c(40,32,20)t(24,40,28)-t(24,32,28)+c(48,24,12)-
s(40,40,20)s(32,32,28)t(32,32,28)s(24,24,20)*-*
s(48,40,20)s(48,16,20)+s(8,48,12)+s(8,8,12)+
t(24,24,20)c(16,40,12)s(48,32,20)+c(32,32,20)*-
s(32,40,28)t(32,32,28)*c(32,32,20)c(24,24,20)**
t(40,48,20)s(40,48,20)t(32,48,28)+s(24,32,20)-*
s(16,32,20)s(24,24,28)t(40,56,12)+*s(16,48,20)+
s(24,48,20)c(32,40,20)t(32,16,12)++s(40,32,20)*
t(24,40,28)c(40,24,20)s(16,40,20)s(24,24,28)*+*
t(24,32,28)c(40,24,20)*s(48,16,12)+s(40,16,12)-
t(24,40,28)s(8,24,12)s(32,40,20)+t(40,48,12)--
s(16,32,20)s(48,40,12)s(24,24,28)+s(32,24,12)-*
s(16,16,20)t(32,40,20)+s(32,24,12)-c(24,40,20)*
s(24,48,20)s(40,40,12)-s(32,40,28)+t(32,32,28)-
c(40,32,20)t(40,24,12)-t(32,16,12)+s(24,24,12)+
t(24,40,28)c(24,24,20)*s(40,24,28)c(24,40,20)*+
s(24,32,20)t(32,48,28)s(40,48,20)*-s(24,24,20)*
s(40,16,20)t(16,32,12)s(32,16,20)+s(32,40,20)-*
t(32,24,12)t(48,48,12)+c(16,24,12)+s(32,40,20)+
t(24,16,12)s(32,8,12)+s(32,40,28)s(32,32,12)-+
s(48,24,12)s(32,32,28)t(40,24,20)s(32,32,12)+*+
t(16,48,12)s(24,40,28)s(16,40,20)-+s(8,32,12)+
t(32,40,28)c(24,32,20)*t(24,40,28)t(24,48,20)*+
c(32,24,20)c(32,48,12)+t(24,32,20)-s(24,16,12)-
t(32,32,28)c(32,16,12)t(40,48,12)+-s(40,40,20)+
s(32,32,28)s(32,16,20)t(32,24,20)-+s(40,40,28)*
c(32,24,20)t(24,24,20)c(48,32,12)+t(32,48,28)--
s(48,16,20)c(24,24,20)s(32,24,20)*c(32,48,12)+-
c(24,32,20)c(40,40,20)t(40,32,20)-s(8,24,12)+-
s(32,40,28)s(16,40,20)t(32,40,12)+*c(24,24,20)+
t(32,32,28)t(32,48,28)*s(16,48,12)+t(32,32,12)-
s(48,40,12)t(24,24,20)s(40,40,20)-+t(48,24,12)+
t(40,24,20)c(32,32,28)t(24,32,20)-s(32,48,12)-*
c(24,40,20)t(24,16,12)+s(16,40,12)-s(40,32,28)*
s(40,24,28)c(32,32,20)c(48,32,12)-t(24,48,28)+*
s(48,48,20)s(24,40,20)c(40,32,20)s(40,40,28)**-
t(24,40,28)s(16,24,20)c(16,40,12)+-t(40,16,12)+
c(40,40,12)s(16,8,12)+s(32,24,20)+s(24,24,28)*
s(16,48,20)c(24,32,20)s(24,40,28)*s(8,32,12)--
s(24,32,20)c(24,48,12)+c(16,40,12)s(24,48,20)+*
s(16,16,12)c(32,32,28)s(32,16,20)-+c(40,32,20)*
t(32,56,12)c(32,48,12)+c(16,32,12)s(48,40,20)++
s(32,40,28)s(40,40,28)t(24,32,20)+s(24,8,12)+*
s(48,32,20)c(32,40,20)+s(24,48,20)*t(32,48,20)*
s(16,32,20)s(24,24,28)c(24,32,20)*c(32,40,20)+*
s(24,40,20)c(24,40,20)c(24,24,20)*t(16,24,12)++
s(24,24,28)s(16,24,20)t(40,24,20)+c(24,24,12)-*
s(24,32,20)c(32,40,20)t(24,40,20)-t(40,40,12)--
c(32,32,20)c(32,40,20)s(24,32,20)c(40,32,12)-*-
s(24,40,20)s(48,16,12)s(40,48,20)s(16,24,20)++*
c(40,32,12)s(8,16,12)+s(24,40,20)t(32,32,28)*-
s(48,16,12)s(40,48,12)+c(40,40,12)s(16,16,12)+-
s(24,24,28)c(24,16,12)s(24,32,28)s(40,40,28)-+-
t(32,32,20)c(40,16,12)-s(16,16,20)+s(24,24,20)+
c(24,40,20)s(40,40,28)s(24,32,28)s(16,24,12)-**
s(24,40,20)s(32,48,20)+c(40,32,12)-s(40,48,20)-
t(48,56,12)s(32,32,20)s(16,32,20)*c(16,40,12)++
s(40,24,28)s(48,24,12)-s(40,40,28)s(48,32,20)*-
s(16,40,20)s(24,40,12)-c(16,40,12)+s(32,24,28)-
s(32,40,28)s(32,32,28)*c(16,48,12)-s(40,16,12)+
t(24,32,28)c(24,24,20)*s(24,40,28)s(32,48,12)-*
s(24,32,28)c(40,16,12)+c(48,24,12)+t(24,32,12)-
s(24,40,28)s(40,32,28)s(48,24,20)++t(40,48,20)*
s(32,16,20)s(24,24,20)s(24,16,20)+c(16,24,12)--
c(40,32,20)s(24,32,20)c(16,40,12)-s(32,32,20)+*
s(24,40,20)t(24,48,28)t(32,48,20)*c(48,16,12)+-
c(40,32,20)s(48,16,20)*c(32,40,12)+t(32,40,20)-
s(16,8,12)s(24,32,28)s(16,16,12)-+c(32,32,20)-
c(24,32,20)c(40,40,12)-c(16,24,12)-c(32,32,12)-
s(24,32,20)t(32,40,28)s(32,48,20)*t(24,40,20)+*
s(32,40,12)s(48,40,20)+t(48,24,12)t(40,48,12)+-
s(40,32,12)t(32,16,12)+s(48,48,20)+t(24,32,20)-
c(32,32,20)s(48,48,20)+s(24,48,20)t(40,48,12)+*
t(40,48,20)c(24,24,20)+c(16,32,12)-t(32,40,20)*
c(32,40,20)t(32,40,12)s(40,48,12)+c(48,48,12)+-
c(32,40,12)t(32,48,12)+s(40,24,20)+s(32,48,20)-
s(40,32,20)s(32,40,28)*t(40,16,12)+t(32,32,12)-
t(40,40,20)s(16,32,20)t(24,32,20)c(40,40,12)+*+
s(16,24,12)s(24,40,20)t(32,32,12)-+s(16,48,20)*
c(48,48,12)t(24,32,12)s(48,8,12)+t(24,32,20)++
c(40,24,20)c(40,32,20)*s(24,40,20)s(8,8,12)++
t(40,32,12)t(24,48,28)+s(48,24,20)s(32,24,20)*-
c(40,40,20)t(32,24,20)+s(40,48,20)-s(40,16,20)*
c(32,32,20)s(16,24,20)s(48,40,20)+c(24,32,20)**
t(32,40,28)t(24,40,28)*t(32,48,12)-t(32,40,12)-
s(40,40,28)t(32,32,20)*c(24,40,20)s(32,24,28)**
c(32,32,12)c(24,48,12)+s(32,32,20)s(24,40,20)**
t(40,48,20)s(32,40,20)t(16,48,12)-c(40,40,12)--
t(16,16,12)s(32,40,28)c(16,40,12)-c(24,40,20)-+
s(48,48,20)c(40,32,20)-t(40,24,12)+s(32,24,12)-
t(24,32,28)s(24,40,28)c(24,32,20)*s(32,32,28)**
c(48,40,12)c(32,48,12)t(24,40,12)+t(32,48,20)*+
t(32,32,28)s(24,32,20)*s(24,40,28)s(8,32,12)-*
t(32,56,12)s(40,32,20)t(32,48,20)-+s(32,24,28)*
c(32,24,20)s(32,40,20)*s(40,24,28)c(48,16,12)-*
t(24,56,12)c(40,32,20)t(24,32,28)c(24,48,12)-*+
s(16,24,20)c(16,40,12)-s(24,32,28)+s(48,40,20)+
c(16,24,12)s(48,40,12)+s(40,16,20)s(24,32,12)+-
s(32,32,20)t(16,16,12)+t(40,24,20)t(32,40,12)+*
s(48,40,20)s(40,40,28)s(40,40,12)-s(40,8,12)+*
t(24,24,20)c(48,24,12)t(24,24,20)c(40,24,12)-+*
s(24,40,20)s(8,32,12)-s(16,40,20)*t(16,56,12)+
c(48,16,12)c(40,32,20)+t(32,40,20)s(40,40,20)+*
s(40,40,28)t(32,48,28)s(48,16,12)c(40,40,12)+-*
s(32,32,20)t(24,48,28)s(16,48,20)+-c(40,24,20)*
t(48,24,12)c(40,48,12)+s(24,24,28)-s(40,40,12)-
s(32,16,20)s(40,32,20)t(24,40,28)-s(16,16,20)+*
c(24,40,20)c(24,32,12)-s(40,48,12)t(48,16,12)+-
s(24,32,20)s(40,24,28)t(32,32,20)-+s(24,16,20)-
s(32,48,20)c(40,24,20)s(48,32,20)c(48,32,12)---
c(40,32,20)s(32,32,20)+s(32,24,28)t(24,48,28)--
c(32,32,28)s(32,16,20)s(40,24,20)*-s(48,32,20)-
s(32,32,20)c(24,24,20)*c(48,32,12)-s(48,16,20)-
s(48,32,20)s(40,40,28)s(48,24,20)s(24,24,20)+**
t(48,48,12)s(16,40,12)s(32,24,20)+s(24,40,28)*+
s(32,40,28)c(16,40,12)t(48,16,12)c(40,16,12)++*
s(24,32,20)t(32,32,12)t(40,24,20)++s(32,32,28)*
s(40,40,20)t(24,32,28)s(32,16,20)+t(40,40,12)--
c(24,40,20)s(32,32,28)*t(32,32,20)t(40,40,12)+*
s(32,40,20)s(24,32,20)s(40,40,20)+s(48,32,20)*-
s(8,8,12)c(32,40,12)+c(32,32,28)*c(40,40,12)+
t(24,32,28)s(32,48,20)t(32,40,20)*-s(32,40,20)-
t(32,32,12)c(24,24,20)t(40,24,12)t(24,48,28)+*+
s(24,24,20)s(32,40,28)+s(40,32,20)s(32,48,20)-*
c(32,40,20)s(24,32,20)t(24,48,20)t(24,40,28)+**
s(40,32,12)t(48,24,12)+c(32,16,12)+t(32,32,28)*
c(24,24,20)s(48,16,20)s(24,32,28)s(40,32,20)*+*
t(32,32,28)s(40,32,20)t(40,40,20)*-t(24,40,28)+
c(24,16,12)t(24,40,28)t(32,48,28)+s(32,40,12)-+
s(40,24,28)s(40,32,28)s(16,32,12)+*s(16,16,20)+
c(24,32,20)c(16,48,12)t(32,24,12)c(32,32,12)++-
s(16,16,12)s(8,40,12)+s(32,48,20)+t(48,24,12)+
s(40,40,20)c(32,24,12)s(16,24,12)+t(40,32,12)--
s(16,32,20)c(16,24,12)-s(8,40,12)+t(32,24,12)+
c(40,40,12)s(40,24,12)+s(24,24,12)+s(32,24,28)*
c(32,40,12)c(32,32,20)s(48,24,20)t(24,56,12)+-+
c(24,40,12)c(48,24,12)s(32,8,12)+c(32,24,20)*+
s(16,40,20)t(24,48,12)-s(32,32,20)t(40,24,20)-+
c(24,32,20)t(32,48,28)s(40,40,20)--c(32,24,20)*
t(24,48,12)t(24,32,12)+s(24,24,12)+t(24,48,28)*
s(48,48,20)t(24,24,20)s(40,32,28)+t(32,40,28)--
s(40,16,20)s(40,32,12)-s(16,48,12)+c(40,32,20)-
s(32,32,28)c(24,24,12)t(16,24,12)c(16,48,12)++*
s(16,48,20)c(40,32,20)s(48,16,20)-s(40,40,20)+-
s(40,40,12)t(40,24,20)+c(40,40,20)s(24,48,20)-*
s(16,16,20)s(24,40,20)c(16,16,12)+*t(40,24,12)+
c(32,32,20)t(24,32,28)s(32,32,28)c(24,32,20)**-
c(40,24,20)c(16,16,12)+t(32,24,12)-t(48,16,12)-
s(32,48,20)t(24,32,28)s(40,24,20)s(32,32,20)*+-
c(24,32,20)c(40,32,12)t(32,24,20)+s(32,32,20)*-
t(24,32,28)s(24,24,20)*s(32,24,28)s(24,32,20)**
s(24,32,28)s(24,32,28)s(24,40,28)+c(16,40,12)-*
c(40,24,20)s(24,48,12)s(32,32,20)s(40,24,20)*+*
s(32,24,28)s(16,40,20)-t(32,32,28)s(40,24,28)**
c(32,40,20)c(24,32,20)s(48,8,12)c(24,24,20)+**
s(24,16,20)s(32,48,12)+s(48,40,20)+s(40,40,28)*
t(24,32,28)s(40,32,20)c(32,40,20)s(24,32,12)-*+
s(24,16,20)s(16,40,20)s(40,24,28)c(40,40,20)*--
t(24,32,28)s(40,32,20)t(32,24,20)-+t(32,32,20)*
t(16,56,12)s(24,24,20)+s(24,16,12)-c(32,48,12)+
s(24,40,28)s(16,48,20)s(40,48,20)c(32,32,28)*-*
t(24,32,28)c(40,32,20)s(40,16,20)t(40,24,20)*-*
s(24,24,28)c(24,24,12)c(48,40,12)+c(32,32,20)*-
s(24,24,12)c(40,32,20)s(32,32,20)t(40,32,12)--+
t(24,48,20)s(32,48,20)+s(40,48,20)+s(16,48,20)*
c(32,24,20)t(32,48,20)-c(32,32,20)*t(32,32,28)*
t(24,16,12)t(32,40,28)t(32,48,28)*+s(32,32,20)+
t(32,24,12)t(48,48,12)c(32,40,20)s(40,24,20)*++
s(32,32,28)s(32,24,28)*s(40,24,20)s(24,24,12)-*
c(40,32,12)t(32,32,12)+t(32,24,20)+c(24,16,12)-
c(40,40,20)t(24,40,20)-t(24,48,28)-s(32,24,20)+
c(40,32,20)s(32,40,28)s(16,32,20)-s(24,32,28)*-
s(24,24,20)s(16,48,20)-s(40,48,12)+s(40,16,20)-
c(32,32,20)s(24,8,12)+s(32,40,12)t(24,48,20)+*
s(32,32,28)s(40,24,28)t(16,16,12)+*c(48,40,12)-
s(32,40,28)s(32,16,20)c(32,32,20)*c(32,40,12)+*
s(40,24,28)s(40,40,28)t(24,40,12)s(48,48,20)+-*
c(24,32,20)s(32,32,28)c(40,32,20)t(24,40,28)-*-
t(32,32,20)s(16,16,12)c(16,40,12)++c(24,32,12)-
s(40,24,28)s(32,40,20)t(32,32,28)+c(24,48,12)-*
t(32,48,20)t(24,40,12)s(24,24,20)+t(24,40,28)*-
s(8,8,12)s(32,24,28)+c(32,40,20)c(24,40,20)**
c(40,32,12)s(16,40,20)t(24,48,28)c(32,32,28)**+
s(40,24,28)s(24,24,28)*s(32,24,28)c(32,40,20)*-
s(32,40,28)s(24,40,20)t(24,32,28)s(48,40,20)-**
s(16,24,20)t(16,16,12)-s(32,24,28)*s(16,48,20)+
s(24,32,28)t(24,24,20)-t(32,56,12)+t(32,48,20)-
t(24,48,20)s(24,32,28)+c(32,40,12)s(24,16,12)+*
s(48,16,20)s(32,32,28)t(24,32,28)-c(40,32,20)*-
t(32,24,20)s(48,32,12)-s(40,16,12)+s(48,16,20)+
s(32,16,12)c(48,48,12)+s(24,24,28)s(32,40,20)+*
t(24,40,28)c(32,32,20)*t(24,40,12)s(40,48,20)+*
s(32,32,20)t(24,48,20)-s(40,48,12)+s(40,16,12)-
s(32,32,28)c(16,48,12)s(16,24,12)s(40,24,12)++*
t(32,40,20)s(16,16,20)t(32,24,20)s(32,16,20)*++
s(16,8,12)t(16,16,12)c(40,40,20)+s(32,32,20)*+
c(40,24,12)c(24,40,20)s(16,32,12)-s(16,16,12)++
s(16,24,20)s(24,32,20)-t(32,32,28)+t(32,48,28)*
s(32,24,20)t(32,32,20)s(40,40,20)+*t(32,48,12)+
t(32,56,12)s(24,32,28)+s(24,40,28)*t(32,48,28)*
s(40,40,28)t(24,48,20)+s(32,40,28)*s(32,40,20)-
s(16,32,12)s(32,48,20)+t(32,48,28)*s(32,32,28)*
s(48,48,12)s(8,40,12)+s(16,48,12)-s(24,16,12)+
s(32,40,28)c(32,32,20)*s(40,16,20)t(48,24,12)--
c(32,40,20)s(24,24,12)t(48,48,12)+c(16,32,12)-+
s(48,32,20)s(16,48,12)t(32,40,28)t(24,40,12)-+-
s(40,16,20)s(32,24,28)s(32,32,28)*t(40,24,20)--
s(32,40,28)c(32,24,20)s(40,40,12)-c(32,32,20)+*
s(48,40,20)s(32,24,20)s(48,24,20)s(16,8,12)+*+
s(24,32,28)s(24,32,20)s(32,24,20)*t(24,48,20)+-
s(48,48,20)s(24,32,28)t(32,48,28)c(40,40,12)-+*
s(40,48,20)c(32,24,20)-c(40,32,20)t(48,48,12)--
c(32,24,20)s(40,40,12)-s(16,24,20)-t(32,16,12)-
c(24,40,20)s(16,48,20)*t(32,40,12)+t(32,40,12)-
c(24,24,20)s(48,16,12)+s(40,24,28)t(24,24,20)--
s(24,40,20)s(32,48,12)-t(40,24,20)-s(24,40,12)+
t(24,32,28)s(32,32,28)s(24,48,20)*+c(24,32,20)*
s(40,40,12)c(24,40,12)+t(24,40,28)*t(32,32,28)*
s(32,32,28)c(48,24,12)s(40,40,20)s(40,24,28)*+*
c(24,40,20)s(32,40,28)*s(32,32,20)t(40,40,12)--
t(48,24,12)s(40,40,20)+c(32,32,20)*t(24,24,20)-
s(16,32,20)s(40,32,20)t(32,32,20)+s(24,32,12)--
s(32,32,20)t(40,16,12)c(24,16,12)+s(48,40,20)+*
s(48,24,20)s(16,24,20)+s(48,24,20)-s(16,24,12)-
s(32,32,28)s(16,32,12)-t(24,40,28)s(32,40,12)-+
s(40,32,12)t(48,56,12)t(24,32,28)++s(40,24,20)*
s(32,24,20)t(24,32,12)t(40,48,20)c(48,32,12)-+-
s(32,16,20)c(32,32,20)s(24,16,20)s(40,8,12)+*-
s(24,32,28)t(40,24,12)-s(40,24,20)+s(48,40,20)-
t(32,32,20)s(16,8,12)+c(40,40,12)+s(32,32,20)*
s(8,16,12)s(16,48,20)+s(24,24,12)+c(32,24,20)-
t(24,40,20)s(32,32,20)s(16,24,12)-+t(32,24,12)-
s(40,24,28)c(24,24,12)s(32,32,12)+-s(40,32,28)*
s(24,40,28)t(24,48,12)s(32,24,28)s(48,16,12)-+*
s(24,40,20)s(24,32,28)s(40,40,28)s(48,40,20)--*
s(24,24,28)s(24,40,28)t(32,40,28)**s(48,16,20)-
c(40,32,20)s(40,24,28)s(48,16,20)*t(32,32,20)--
c(32,40,20)s(40,24,12)+s(16,48,12)-c(40,40,20)*
s(48,48,20)s(48,16,20)c(16,24,12)t(16,16,12)+++
c(32,40,12)c(48,40,12)+t(40,40,20)t(48,16,12)+*
t(24,56,12)s(8,24,12)s(24,32,12)+t(16,24,12)-+
c(40,32,20)t(48,48,12)-s(40,40,28)t(40,40,12)-*
c(40,32,20)c(40,40,20)*c(48,40,12)s(40,32,20)++
c(40,40,20)c(32,32,20)s(8,48,12)s(24,40,20)+**
c(24,24,20)s(32,40,28)*t(32,32,20)+s(40,40,28)*
t(32,40,28)t(40,16,12)s(32,40,28)s(40,48,12)-+*
c(48,40,12)t(32,32,28)t(24,40,20)t(48,40,12)+-+
s(32,40,28)c(32,32,12)t(24,48,20)+-s(48,24,12)+
c(24,16,12)t(24,48,28)+c(32,24,20)s(32,32,12)-*
s(24,40,20)c(32,32,20)*s(16,40,20)+t(32,24,20)-
t(32,48,28)t(32,40,28)t(40,40,20)c(48,32,12)+*-
s(24,24,20)t(16,24,12)-s(40,24,28)s(32,48,20)-+
c(32,24,20)t(24,40,20)+t(32,32,28)s(16,40,20)-*
s(32,16,12)s(16,32,12)+t(40,24,12)+s(24,48,20)+
c(32,32,20)s(16,40,20)*s(48,32,20)+c(48,16,12)-
t(48,48,12)s(40,40,12)+s(24,32,20)c(40,24,20)++
s(16,16,20)c(32,32,20)c(32,40,20)t(40,40,12)-*+
c(24,40,12)c(24,24,12)+s(40,16,20)-s(16,40,20)*
s(32,32,20)t(32,40,28)+s(16,48,20)t(40,40,12)+*
c(24,40,20)s(32,24,28)s(16,8,12)-t(24,48,20)-*
t(16,40,12)t(40,48,20)t(40,40,20)++s(24,48,12)-
s(32,40,28)c(16,16,12)+t(40,56,12)s(24,40,12)+*
s(16,48,20)c(48,40,12)+c(48,48,12)c(32,32,20)+*
t(16,40,12)s(40,16,20)+s(16,24,20)t(48,32,12)++
t(40,16,12)c(24,40,20)c(24,48,12)c(40,16,12)+*+
t(16,24,12)s(40,32,28)c(48,48,12)t(48,32,12)+*+
s(32,32,28)c(24,24,20)s(48,24,20)c(48,48,12)+-*
t(24,40,28)c(40,24,20)c(40,40,12)+c(16,24,12)+-
s(48,16,20)s(48,32,20)-c(32,24,20)c(24,40,12)-+
s(40,24,28)c(40,40,20)c(40,32,20)t(24,32,20)+**
s(16,32,20)t(24,16,12)+t(48,32,12)+t(24,32,20)*
s(16,40,20)s(40,48,20)-t(24,56,12)s(24,40,12)+-
s(40,40,28)c(40,32,20)s(48,24,20)c(40,40,12)+**
s(16,32,20)s(24,40,28)+c(32,32,28)*t(48,32,12)+
c(24,32,20)s(24,40,28)*t(32,48,12)-t(40,40,12)-
s(24,40,28)s(24,24,20)*c(16,32,12)+s(32,32,28)*
s(48,40,12)s(32,16,20)+s(40,16,20)*c(24,32,12)-
c(32,32,20)s(24,16,20)s(24,40,20)c(16,48,12)+-+
s(24,32,28)c(40,24,12)-c(16,24,12)-t(32,32,28)*
s(32,24,20)c(24,24,20)t(32,48,20)-s(32,32,12)-+
s(32,40,28)c(32,32,28)s(48,48,12)-s(32,16,12)-*
t(40,40,20)s(48,24,12)-s(8,32,12)s(16,16,20)++
c(48,40,12)c(24,24,20)+c(24,40,20)t(32,48,28)--
s(48,16,20)c(16,32,12)s(40,24,20)s(40,40,28)*+-
s(40,40,20)s(16,40,20)+c(32,32,28)*s(48,16,20)+
t(24,40,12)c(24,24,20)t(32,32,12)-+c(40,32,20)*
s(48,8,12)t(40,48,20)s(16,32,20)++s(40,48,20)*
s(32,40,28)s(32,24,28)s(32,48,20)+t(24,48,28)-*
t(24,32,28)t(16,32,12)s(40,16,12)++s(16,32,20)*
s(48,24,20)s(48,24,12)s(24,40,28)+t(24,24,20)*+
t(16,56,12)s(24,16,20)s(16,16,12)-+t(24,24,12)-
c(32,32,20)s(48,32,20)*s(32,40,12)+s(24,40,28)*
c(40,24,20)c(32,32,28)t(32,24,20)-s(24,24,12)+*
c(24,40,20)s(32,16,20)-t(32,48,28)s(16,48,12)--
s(16,16,12)c(24,24,20)t(32,32,28)*c(24,32,20)*+
s(32,40,20)s(24,24,28)s(40,24,20)+*c(24,40,12)+
s(32,48,20)c(24,40,20)t(24,32,12)-c(24,32,12)-*
s(24,32,20)t(40,24,12)+c(16,16,12)-c(40,32,12)-
t(32,40,28)s(32,24,20)c(24,32,20)s(48,32,20)-*-
t(24,48,28)c(32,24,12)+s(8,48,12)c(40,32,20)+*
s(24,40,28)s(8,16,12)s(24,40,20)+c(24,48,12)-*
c(32,48,12)s(24,32,20)+s(40,32,12)-s(32,24,28)*
c(24,32,20)s(16,16,20)-c(32,40,20)t(24,32,20)+*
t(24,40,28)s(8,40,12)s(40,48,20)+-s(24,32,28)*
c(40,40,20)t(16,56,12)t(32,32,28)s(32,24,28)*+*
s(16,16,20)s(32,32,28)s(32,32,12)-c(40,32,20)+-
s(16,24,20)t(32,56,12)t(40,16,12)++c(24,40,12)-
s(48,24,20)s(32,40,28)+t(24,40,12)-s(24,48,20)*
t(32,32,20)c(40,32,20)s(32,16,12)t(40,56,12)+-*
t(24,32,20)s(24,48,20)+c(32,40,20)c(24,24,20)**
s(24,16,20)t(32,32,28)s(40,40,28)*-s(32,24,20)-
s(48,24,20)c(16,32,12)+s(24,32,28)*c(32,24,12)+
s(32,40,28)s(32,16,20)c(32,40,20)++c(40,40,20)*
c(32,16,12)c(40,40,20)c(48,24,12)++s(24,24,28)*
s(40,32,28)t(16,48,12)+t(32,48,20)s(40,32,20)+*
t(40,32,20)s(40,32,20)s(48,32,20)*s(16,24,20)+*
c(40,40,20)t(32,24,20)+s(40,16,12)-s(48,16,20)+
s(32,48,20)c(32,24,20)c(40,40,20)*c(32,40,20)*-
s(24,48,20)s(40,40,28)s(40,32,28)+c(32,32,28)**
s(32,24,28)c(32,40,12)-s(32,16,12)-s(24,32,28)+
s(40,8,12)c(48,24,12)+t(32,16,12)-s(24,40,28)-
s(48,24,20)t(24,40,20)s(40,24,20)-c(16,40,12)++
s(24,48,20)c(32,32,20)s(32,40,12)s(40,8,12)++*
s(24,40,20)c(32,40,20)s(40,32,20)s(24,16,20)-*+
c(24,32,20)c(16,24,12)-s(40,32,12)-s(24,32,20)*
s(24,24,28)s(32,24,28)*c(32,40,20)s(32,24,28)**
t(24,32,28)t(48,40,12)s(24,32,28)+s(40,40,28)**
t(48,24,12)s(40,16,12)t(40,16,12)s(16,48,12)+++
c(48,32,12)c(48,40,12)t(24,16,12)++c(32,32,20)*
s(48,16,12)c(24,24,20)t(40,40,20)-s(48,16,20)-+
s(40,24,28)c(32,32,20)s(48,32,12)-+c(40,40,20)*
s(32,24,20)s(8,24,12)t(32,32,28)s(24,24,28)*+*
s(16,32,20)s(8,24,12)-t(24,32,20)t(40,48,12)+*
t(40,16,12)c(24,32,20)s(32,48,20)-s(32,24,20)*+
t(32,40,20)s(48,24,20)c(40,24,20)s(48,32,20)**+
s(24,40,20)s(40,32,12)s(48,32,12)+-t(24,48,20)*
s(32,40,28)c(24,32,20)*t(24,40,12)-s(16,48,20)-
c(32,40,20)s(40,32,28)s(32,40,20)*c(40,24,12)--
c(32,40,20)c(40,48,12)-t(40,16,12)+t(24,56,12)-
s(40,16,20)t(24,32,28)t(24,24,20)t(32,24,20)+*-
s(32,32,28)t(32,32,12)-t(40,48,12)-c(16,24,12)-
c(32,32,20)s(32,40,28)t(40,56,12)t(48,48,12)+-*
c(32,48,12)s(8,48,12)c(48,16,12)++c(40,32,20)+
s(48,8,12)t(24,40,28)+t(40,32,12)+c(40,40,20)-
c(24,24,20)c(40,24,20)t(24,48,28)-t(40,32,20)+*
s(48,40,20)c(24,32,20)s(32,16,20)-t(32,32,12)--
c(24,40,20)c(32,16,12)c(40,48,12)+s(32,40,28)*+
t(40,48,12)t(40,32,12)s(24,24,28)s(32,32,20)-++
s(32,48,20)s(48,32,20)t(40,56,12)s(16,24,20)++-
s(40,40,28)s(32,32,28)t(24,32,20)-t(24,32,20)+*
s(32,48,20)c(40,40,20)s(48,48,20)+*t(40,48,20)*
t(16,40,12)c(32,40,12)+s(24,24,28)s(24,16,12)-*
c(24,24,20)s(40,32,12)+s(48,24,20)c(40,16,12)+*
t(24,48,20)s(24,32,20)+c(40,24,20)-s(40,24,28)-
s(32,24,28)s(16,16,20)s(8,32,12)+t(40,24,12)+*
s(16,16,12)t(48,56,12)s(40,48,12)++t(24,24,20)-
t(32,40,28)s(16,48,12)c(40,32,20)++c(32,40,20)*
s(32,40,20)c(16,24,12)-t(40,24,20)+s(32,48,20)-
s(32,40,28)s(32,48,12)-s(16,24,12)+c(48,32,12)-
s(32,32,28)c(40,40,20)c(48,48,12)-s(40,32,20)*-
s(48,32,20)s(24,32,28)-s(8,48,12)+c(32,32,28)*
s(48,40,20)c(32,32,20)t(40,40,12)-s(48,48,20)--
t(40,40,20)c(48,16,12)c(32,40,12)+c(32,24,12)-+
c(48,48,12)c(32,40,20)t(40,48,20)*+s(32,48,20)*
t(24,32,28)t(24,40,28)c(32,32,20)**c(40,24,12)+
c(40,32,12)s(24,24,12)+c(32,32,20)s(24,32,28)**
s(32,24,28)s(32,40,28)*c(48,16,12)c(24,24,12)+*
c(16,24,12)c(40,32,20)c(24,32,12)-c(40,40,20)*+
s(32,24,28)s(48,8,12)-s(24,24,20)s(32,48,20)-*
c(40,40,12)t(24,40,20)+t(24,24,20)-s(32,24,20)-
s(32,32,28)t(24,40,12)-s(48,40,20)s(24,16,20)+*
c(40,32,12)s(24,16,20)s(40,16,20)*+c(40,32,20)*
s(40,16,20)s(40,24,12)-c(32,32,28)*s(32,8,12)+
s(24,32,20)t(24,32,28)t(40,40,12)-t(40,40,20)-+
s(24,40,28)s(24,32,28)t(32,32,20)-s(24,24,28)+*
s(40,32,28)s(24,40,28)-c(32,24,12)+s(32,24,28)+
t(40,32,20)c(32,40,20)*c(24,32,20)s(24,48,20)-+
s(24,48,20)t(32,40,20)+s(24,24,20)t(24,32,28)*+
s(24,40,28)c(24,24,12)-s(40,32,28)s(40,32,12)-+
s(40,16,20)s(48,40,20)s(24,40,28)-+s(40,40,20)-
s(16,8,12)s(24,48,20)+t(32,32,28)s(40,48,12)+*
t(40,48,12)t(32,32,12)s(48,24,12)+s(32,32,28)*+
s(32,40,20)c(32,24,12)-t(24,40,28)s(32,40,28)*+
s(32,40,28)s(24,48,20)*t(24,48,28)s(16,48,20)**
t(48,24,12)c(16,32,12)t(24,40,28)s(40,48,20)-++
s(8,16,12)c(24,24,20)s(24,40,12)-c(40,32,20)*+
c(48,48,12)s(48,24,12)+t(40,40,12)t(16,32,12)+-
s(24,32,20)s(32,32,28)c(32,24,20)*t(32,56,12)+*
c(32,32,28)s(32,32,20)c(40,48,12)--t(32,32,28)*
c(24,32,20)c(32,40,20)s(32,32,20)c(32,24,20)*+*
c(40,16,12)s(32,48,20)t(24,48,28)*+t(24,48,20)*
s(40,40,20)t(32,48,28)s(24,24,28)s(32,40,20)*+*
s(24,24,28)s(8,40,12)s(16,16,20)+t(32,24,12)+*
t(48,32,12)s(32,24,28)t(32,40,28)*+c(48,32,12)-
s(48,16,12)s(32,48,20)c(48,48,12)+t(24,24,12)++
t(24,48,28)c(40,16,12)t(40,48,20)+s(24,40,12)+*
s(40,24,28)s(24,16,20)t(24,24,20)*c(32,16,12)+-
s(16,32,20)s(24,40,28)s(40,48,20)t(32,48,28)**+
c(40,24,20)s(24,24,12)c(32,40,20)s(40,32,20)*+*
s(16,16,20)s(48,24,12)+c(48,32,12)+t(24,48,12)+
s(40,48,20)s(32,32,20)s(16,48,12)c(48,16,12)++-
c(32,40,20)c(24,32,20)s(48,32,20)--s(32,32,28)+
c(32,32,12)s(24,32,20)c(40,24,20)*+s(32,48,12)-
s(40,40,28)s(48,48,20)t(40,40,20)+*c(24,40,20)-
t(24,32,28)s(16,24,12)-c(24,24,20)t(24,40,28)*+
c(32,32,28)c(40,24,20)c(32,32,20)*s(24,32,20)*-
s(40,32,28)c(32,40,20)t(24,24,20)-*s(24,40,28)*
c(32,32,20)s(32,24,28)t(40,32,20)-c(48,40,12)+-
s(32,24,28)s(24,32,12)-s(24,16,20)*s(32,40,28)-
s(40,32,12)t(16,40,12)+t(24,32,28)t(32,32,28)*+
s(24,48,12)t(48,48,12)t(40,24,12)+s(40,32,12)++
s(8,32,12)s(32,40,12)+s(32,32,28)t(32,40,28)+*
t(48,48,12)c(24,32,20)s(16,40,20)s(32,40,20)--+
t(24,40,28)s(24,48,20)c(16,32,12)-t(24,40,28)*-
s(24,48,20)t(16,32,12)-t(24,40,28)*s(24,24,20)-
s(48,24,20)s(32,32,28)s(24,24,28)c(40,24,20)*-+
s(32,32,20)s(48,32,12)-s(16,24,12)-s(40,40,20)+
s(40,40,20)s(24,32,20)c(24,40,20)*-s(32,48,20)+
c(40,40,20)t(32,32,28)s(24,16,12)-c(16,24,12)-*
s(48,32,20)s(24,48,12)s(16,16,12)++s(32,24,20)*
c(24,32,20)s(40,40,20)s(24,40,28)*-s(24,24,28)*
s(24,48,20)t(40,40,20)-t(24,48,28)c(24,24,20)-*
s(48,40,20)s(40,32,12)c(24,48,12)++c(32,24,20)+
s(48,48,20)s(24,32,28)s(16,40,20)s(24,24,12)+*+
c(24,40,20)s(40,48,12)-s(32,24,12)-s(32,24,20)+
s(16,48,20)c(24,24,20)-c(32,16,12)+s(24,32,20)-
t(16,16,12)t(32,40,28)+s(40,24,20)s(48,24,20)*-
s(48,48,12)t(48,56,12)t(32,24,20)+c(16,24,12)-+
c(24,24,20)c(32,40,20)s(40,48,20)c(40,32,20)*--
s(48,16,20)c(32,32,28)t(24,56,12)s(48,16,20)+**
c(24,32,20)t(32,32,28)c(40,40,20)+c(32,40,12)--
s(24,40,20)s(32,32,28)*s(32,40,20)*t(40,40,20)+
c(32,24,20)s(24,16,20)s(16,24,12)s(32,48,20)++*
c(24,32,20)c(32,40,12)t(32,48,20)t(40,48,20)++-
c(40,40,20)s(40,32,12)-s(16,40,12)s(40,16,20)++
t(32,40,28)s(32,24,28)t(32,32,28)c(40,32,20)+*+
s(24,32,28)t(24,24,12)-s(24,40,28)s(8,24,12)-*
s(24,32,20)c(16,32,12)t(24,48,12)+t(32,32,12)+*
c(48,48,12)c(24,32,20)s(40,32,20)++s(32,48,20)*
c(24,40,20)s(16,40,20)t(24,32,20)t(24,16,12)-++
s(16,32,20)c(32,32,28)s(24,24,20)s(24,8,12)---
c(40,32,20)s(40,24,20)s(24,40,20)+s(32,16,20)-*
c(24,32,20)c(24,24,20)*t(32,48,28)t(24,16,12)+*
c(32,32,28)s(16,32,20)-s(24,48,12)-s(32,40,20)-
c(24,32,20)c(16,32,12)-t(24,32,20)-t(24,56,12)+
s(40,32,28)s(24,24,28)-s(16,48,20)t(16,56,12)--
s(16,48,20)s(24,24,28)-t(16,48,12)c(32,24,20)+-
s(40,40,28)c(32,40,20)s(32,32,20)s(8,32,12)+*-
t(16,24,12)c(32,48,12)+c(40,32,20)t(24,40,12)--
c(24,32,20)s(48,48,12)+c(48,40,12)-s(40,32,20)*
t(48,56,12)c(32,40,20)s(32,16,20)-c(40,32,20)*+
s(48,40,20)s(8,48,12)t(40,40,12)t(24,24,12)++-
c(32,24,20)s(40,40,28)*s(16,16,12)+s(32,16,20)*
s(16,24,20)t(32,32,28)c(24,32,20)*t(40,32,12)--
c(40,32,20)c(32,48,12)-s(24,48,20)s(24,40,20)*+
s(32,32,20)s(24,24,12)s(32,16,20)c(24,32,12)-+*
s(40,32,28)c(32,40,20)*t(32,32,28)*s(24,32,28)*
t(24,32,28)c(16,16,12)s(48,16,12)+t(48,24,12)--
s(24,24,20)t(32,32,28)s(32,16,12)s(40,48,12)++*
s(24,40,28)c(32,24,12)-t(40,24,12)t(24,32,28)+*
s(48,24,20)c(24,24,20)s(40,32,28)*+s(32,40,20)*
s(24,24,28)c(24,32,20)t(40,40,20)-s(24,32,20)+*
c(40,24,20)t(16,32,12)+c(40,48,12)+s(16,8,12)+
s(16,48,20)c(32,32,28)*t(40,24,12)+t(32,48,12)-
s(24,40,28)s(24,32,28)*s(16,32,20)-s(24,16,20)-
s(16,16,12)s(24,24,28)s(24,40,28)s(24,48,12)-*+
s(32,40,28)c(16,32,12)-s(32,40,28)s(40,32,28)**
t(48,56,12)c(32,40,20)c(40,48,12)-s(40,40,28)*+
s(40,40,20)s(40,40,12)c(32,48,12)+s(16,40,12)+*
c(24,32,12)s(24,8,12)+t(40,24,20)s(24,48,12)+-
s(40,32,20)s(24,8,12)+s(48,32,20)*t(24,16,12)+
s(32,40,28)s(32,24,20)t(40,48,20)+c(40,24,12)-*
s(40,48,20)t(32,40,28)t(24,40,28)*-c(32,48,12)-
s(48,32,20)c(32,40,20)s(40,24,28)*+s(32,40,20)*
s(16,32,12)s(32,32,28)t(32,16,12)-s(24,40,20)*+
c(24,24,20)c(32,40,12)-s(24,32,28)t(40,32,20)-*
s(32,24,28)s(16,24,20)t(24,16,12)-+s(24,16,20)-
s(40,24,28)s(24,24,28)s(32,40,12)--s(40,16,12)-
s(32,24,28)s(24,24,20)s(16,16,20)*-s(40,24,20)+
s(32,40,20)s(16,32,12)-c(24,40,12)s(16,24,12)++
t(32,48,12)t(24,40,28)c(24,40,20)s(40,32,28)*-+
t(24,40,28)s(16,32,12)-s(16,16,12)+c(24,24,20)+
c(32,32,28)c(16,48,12)-t(24,32,20)-c(32,40,20)*
t(24,48,12)s(40,48,12)c(48,48,12)+c(16,32,12)++
c(24,24,20)s(40,24,20)c(32,24,20)*s(40,40,28)*-
s(32,32,28)t(40,48,20)s(32,40,12)-+c(24,32,20)*
t(24,48,20)s(40,40,28)+s(40,24,28)t(24,24,12)-+
t(24,40,20)s(16,24,20)s(32,32,12)--s(32,16,20)+
s(40,40,28)s(40,32,28)s(24,40,12)--t(16,32,12)+
s(32,32,28)c(32,40,20)*c(40,24,20)s(48,40,20)*-
s(40,48,20)c(40,32,20)s(24,32,12)-*t(24,24,20)+
s(40,32,20)t(32,32,28)*t(48,48,12)-s(32,24,20)*
t(32,56,12)t(24,40,20)+c(40,40,20)t(40,24,12)-*
c(40,32,20)s(32,40,12)-s(32,40,28)s(24,40,12)-*
s(32,24,20)s(48,32,20)+c(48,48,12)+t(24,56,12)+
s(40,32,20)c(40,32,20)s(24,24,20)+s(24,32,20)**
s(32,40,28)s(16,48,12)-s(16,40,12)+t(24,40,20)-
c(24,40,20)s(40,24,20)s(48,24,20)*-c(40,48,12)+
s(40,32,20)c(24,16,12)-c(40,24,20)s(16,24,20)-*
t(32,32,20)c(16,40,12)-s(24,40,12)+s(24,32,20)+
c(40,40,20)c(24,32,20)t(32,48,28)*-c(40,32,20)*
s(40,32,28)s(32,32,28)c(48,48,12)+t(32,32,12)-*
s(40,24,20)s(40,48,20)-t(32,40,28)t(24,40,12)--
t(40,48,12)c(24,40,12)+c(48,16,12)+s(48,24,20)-
s(24,24,20)s(24,32,20)*s(32,40,20)s(40,40,12)-+
c(24,24,20)s(40,24,28)*c(24,40,20)s(40,48,20)--
s(40,32,20)t(48,48,12)t(32,32,12)+-s(40,32,12)-
t(24,40,28)s(40,24,28)c(32,32,20)*s(24,40,28)*-
c(40,40,20)s(40,32,28)c(24,16,12)-s(24,40,28)-*
t(32,40,28)t(40,32,20)c(24,40,20)s(40,40,28)-+-
c(16,48,12)t(32,32,28)s(48,32,20)c(32,32,28)**+
c(32,32,28)s(40,24,28)*s(48,32,20)*t(32,32,12)-
c(32,40,20)t(32,48,28)s(24,32,12)-*s(40,32,28)*
c(24,24,20)c(32,24,20)t(24,40,20)-*t(32,32,28)*
c(32,32,20)c(32,24,20)c(32,32,28)s(48,16,12)-**
t(24,32,28)c(40,24,20)t(40,40,12)-s(32,32,12)-+
s(16,32,20)s(32,40,12)s(16,16,12)+c(32,48,12)+-
s(48,24,20)c(40,24,20)c(32,32,12)-*c(40,40,12)+
t(40,40,20)c(32,24,12)s(40,8,12)++c(32,32,20)*
c(32,32,20)s(24,32,20)t(24,40,28)**t(40,24,20)-
t(32,48,20)c(40,40,20)s(32,24,20)s(24,40,28)+**
s(32,40,20)t(24,32,28)t(24,40,28)*s(32,24,28)*-
t(32,32,28)c(24,40,20)t(24,24,12)-t(24,32,28)**
t(32,48,28)t(40,32,20)t(24,48,12)s(24,32,20)++*
s(40,32,28)s(32,16,20)*t(16,16,12)s(24,40,20)++
s(40,24,28)s(48,32,20)*c(32,24,20)t(32,24,20)--
s(24,24,28)t(32,40,28)s(32,16,20)+*s(32,48,20)-
c(32,32,28)s(24,24,28)s(16,40,20)+*c(40,32,20)-
c(32,32,28)s(32,16,20)s(16,8,12)+c(40,32,20)+*
s(48,40,20)c(40,24,20)c(40,40,12)-+s(32,32,20)*
s(16,48,12)s(40,40,28)+c(32,32,12)-t(24,40,20)-
s(24,32,20)t(40,32,12)s(32,32,20)t(24,32,28)*+*
s(48,16,20)s(24,16,20)c(40,24,12)+s(16,32,20)--
s(16,48,20)s(32,24,12)c(24,24,12)+t(32,32,28)++
s(48,48,20)t(16,16,12)+c(32,32,28)c(40,40,12)--
s(8,24,12)c(32,32,20)t(24,40,20)s(32,40,20)*-+
s(24,32,20)s(48,16,20)t(24,32,28)t(16,40,12)-+*
s(40,32,20)t(24,32,28)c(40,32,20)*-c(16,16,12)+
s(24,40,20)s(40,24,28)c(32,40,12)s(24,24,20)+-+
s(48,48,12)c(40,24,12)t(16,24,12)++c(40,16,12)-
s(48,40,20)s(32,24,20)-s(32,16,20)+t(24,24,20)-
s(32,24,12)s(40,24,28)t(40,48,20)s(48,16,12)+*+
t(24,32,28)t(24,16,12)t(40,48,20)+t(24,40,20)--
s(16,32,20)t(24,32,28)t(24,48,28)s(8,48,12)+-+
s(48,48,12)s(24,40,20)+t(24,32,28)*t(24,48,28)*
c(24,32,20)s(24,40,28)+t(24,48,28)*s(8,32,12)+
c(40,24,20)s(24,24,20)s(32,32,28)c(48,48,12)-**
s(32,32,28)c(24,24,20)c(32,24,20)*-s(8,8,12)+
s(16,32,20)c(32,40,20)+c(32,32,12)-c(24,24,20)*
c(32,32,28)c(40,24,12)-t(16,32,12)-t(24,40,28)*
s(40,40,28)t(32,24,20)s(48,48,12)+*t(40,48,20)-
c(24,40,20)t(24,40,28)*s(16,24,12)-s(40,24,12)+
t(24,32,20)c(16,40,12)t(40,48,20)++s(32,24,28)*
c(40,32,20)s(40,24,28)c(40,40,20)s(48,40,20)**-
t(32,32,28)t(24,48,28)+s(32,24,28)t(40,24,20)-*
c(32,40,12)t(24,40,20)+c(32,32,20)*s(16,24,20)-
c(40,24,12)s(24,32,28)s(16,48,20)*+s(24,40,28)*
s(16,16,12)s(24,48,20)c(32,32,28)*+s(16,40,12)-
s(48,48,20)s(24,32,28)s(40,24,20)-s(40,40,28)+*
s(32,40,20)c(24,40,20)*t(40,16,12)+c(40,24,20)*
c(32,24,20)s(32,32,28)*c(48,40,12)-s(16,48,12)+
c(40,24,20)t(24,48,12)t(32,24,12)s(48,24,12)++*
c(32,24,20)s(40,24,20)*c(16,32,12)+c(32,32,20)*
s(24,48,20)t(24,48,28)s(40,40,28)s(32,24,12)-**
c(32,24,20)s(24,40,20)s(48,16,12)+*t(40,16,12)-
s(40,24,28)s(32,32,28)-s(32,40,12)+t(24,40,28)-
s(40,24,28)s(32,32,28)t(40,24,20)*-s(48,24,20)*
s(24,24,28)s(8,8,12)-c(24,40,12)-s(24,16,20)-
t(24,40,28)s(40,16,20)+s(40,24,20)t(40,16,12)--
s(40,24,20)s(32,24,28)s(48,40,20)c(24,24,20)+**
t(24,40,28)c(40,40,20)t(32,24,20)t(32,48,20)+*+
c(40,40,20)t(48,32,12)-s(24,32,28)s(8,24,12)-*
s(32,32,20)s(40,32,20)*t(48,16,12)+s(16,16,20)-
s(16,32,20)s(32,40,20)+c(40,32,20)*t(40,24,20)-
s(32,16,12)s(8,16,12)c(40,40,12)s(8,48,12)+++
t(24,48,28)c(40,48,12)+s(40,32,28)s(32,32,28)+*
s(24,32,28)c(24,16,12)t(32,32,28)+*s(16,24,12)-
s(8,16,12)s(8,32,12)+t(32,24,20)+s(48,16,12)+
c(24,32,12)t(48,16,12)+c(24,40,20)s(32,24,20)*+
t(32,40,28)c(32,24,20)c(32,32,28)s(24,40,12)-*+
t(48,32,12)t(48,16,12)t(40,48,12)+t(48,24,12)++
s(24,32,28)t(32,40,28)s(32,32,20)*s(24,24,28)*-
s(24,16,20)t(24,40,28)t(40,48,20)++c(24,16,12)-
s(40,32,20)t(24,40,28)s(16,48,20)+s(8,40,12)--
s(32,32,20)t(24,32,28)c(24,40,20)*t(32,24,12)-*
s(24,24,28)c(40,16,12)s(40,32,20)c(32,24,20)*+*
s(48,40,20)s(40,40,28)s(32,24,28)c(32,32,20)*-*
c(24,48,12)s(48,40,20)+s(40,32,28)*t(32,48,20)-
s(32,32,28)s(16,16,20)-t(24,32,28)*s(8,40,12)-
s(48,16,20)s(40,16,20)+c(40,32,20)*s(32,32,28)*
s(24,40,28)c(40,24,12)-s(40,48,20)*s(16,40,20)+
s(32,16,12)s(48,32,20)s(8,40,12)s(40,16,12)+++
t(24,48,20)s(24,32,20)s(40,24,20)s(24,24,20)*-+
t(32,32,28)c(16,40,12)+s(32,32,12)-t(32,40,28)*
s(40,24,20)c(16,16,12)s(40,8,12)+s(24,40,28)--
s(40,48,20)t(24,48,20)-t(24,40,20)+s(24,32,28)*
c(32,32,20)s(40,40,20)-c(40,24,12)s(32,32,20)+*
t(32,48,20)s(48,16,20)t(48,24,12)s(16,32,12)+-+
t(32,32,28)c(32,40,20)t(32,48,28)*c(16,24,12)+*
s(40,40,28)s(24,32,28)s(24,40,20)--s(48,24,20)+
s(40,32,28)t(32,32,28)t(24,32,28)*c(24,40,20)*-
s(24,40,20)t(24,40,28)t(40,40,12)-*s(48,40,20)-
s(16,16,20)t(32,32,28)-s(32,48,20)+t(32,24,20)+
t(24,24,20)s(32,16,20)+s(40,32,20)s(48,24,20)*+
s(40,48,20)c(32,40,20)c(32,40,20)s(40,32,20)*-+
c(24,24,20)t(24,56,12)c(24,32,20)t(32,32,28)*+*
t(24,48,20)s(16,48,20)*s(32,24,28)+s(16,40,20)*
c(32,16,12)s(32,48,20)s(24,40,28)s(32,40,28)**+
s(32,32,28)s(32,40,20)s(32,24,28)c(40,32,20)*--
t(32,24,20)c(32,32,12)+s(24,32,28)*c(40,24,20)*
t(24,48,28)s(16,48,20)*s(24,24,20)-t(32,48,28)*
t(48,24,12)s(32,16,20)+s(8,40,12)c(40,40,20)++
c(24,24,20)c(24,32,20)*c(32,32,28)s(16,24,20)**
s(32,24,28)c(40,24,20)*c(48,40,12)+s(32,16,20)*
c(32,32,20)s(16,32,12)-t(24,40,20)t(40,16,12)+*
s(48,32,20)s(8,40,12)t(40,24,20)++t(32,40,28)*
t(32,40,20)s(16,32,12)t(16,16,12)+t(24,32,28)+*
c(40,24,20)s(16,40,20)t(24,32,12)-c(16,24,12)++
s(48,32,20)c(24,24,20)s(48,16,20)+*t(40,40,12)-
s(16,16,20)s(16,48,20)s(40,40,28)s(32,24,28)*-+
s(16,32,20)s(32,32,20)t(24,24,20)+t(24,40,20)--
c(40,24,20)c(32,32,28)s(32,24,28)-c(48,24,12)-+
t(40,32,20)t(16,16,12)c(32,40,12)+s(32,24,28)*+
s(40,16,12)t(40,40,20)+c(48,24,12)s(24,32,28)+*
s(24,40,20)s(32,32,20)*t(32,48,20)+c(40,24,12)-
c(24,24,20)s(8,40,12)s(24,40,20)++c(32,24,20)*
s(32,40,20)t(32,24,20)c(24,40,20)s(32,16,20)-+*
s(16,32,20)s(40,8,12)t(16,16,12)+-s(8,24,12)-
s(16,16,20)c(32,24,20)+s(40,16,20)-s(32,32,28)-
s(40,32,28)s(32,32,28)c(32,32,12)t(24,48,28)+-*
c(24,16,12)s(16,40,20)+s(24,24,20)s(16,48,20)-*
t(32,48,20)c(24,24,20)+t(32,40,28)-t(24,48,28)-
t(24,48,28)c(32,32,28)t(32,32,20)--s(8,40,12)+
s(16,16,20)s(24,24,28)s(32,48,20)+c(32,16,12)-*
s(48,48,20)s(16,24,12)+s(24,48,20)-s(8,40,12)+
t(24,32,20)s(24,48,12)c(24,24,20)s(40,16,20)-++
s(24,32,20)s(48,16,20)s(32,24,20)-t(24,24,12)+-
c(24,40,20)s(32,16,20)s(24,24,28)t(24,16,12)-*-
s(8,48,12)s(32,40,28)s(40,32,12)-+c(32,32,28)*
t(32,48,20)s(32,32,28)s(32,24,28)s(40,40,20)--+
t(32,32,28)c(40,48,12)-s(32,24,20)*s(24,16,12)-
t(32,40,20)t(48,40,12)s(24,40,20)+*c(24,32,20)*
s(24,24,20)t(40,48,20)c(16,40,12)++t(24,48,28)-
s(24,48,20)s(16,8,12)+s(32,40,20)t(48,48,12)+-
c(40,32,20)s(24,16,12)c(32,32,20)+c(24,32,20)*-
s(40,48,20)s(24,48,12)s(32,32,28)c(16,32,12)-+*
c(24,40,20)c(32,32,20)s(24,24,20)t(32,32,20)+*-
s(24,40,12)c(32,24,12)s(32,48,12)++s(32,40,20)*
t(24,48,28)s(32,32,20)s(40,24,28)s(40,32,28)**-
s(40,48,20)s(24,32,28)s(40,16,12)-s(40,32,20)+*
c(40,24,20)c(24,24,12)-t(48,56,12)+s(40,40,20)-
s(24,40,28)s(24,24,28)*s(32,40,12)c(32,24,12)+*
c(24,40,20)t(32,40,28)s(16,24,12)s(48,48,20)++*
c(48,48,12)t(40,24,12)s(8,8,12)s(48,16,12)+++
t(32,48,20)s(8,40,12)+t(32,32,20)+t(32,40,20)*
s(48,32,20)s(40,24,20)-s(48,48,12)+c(32,32,28)*
s(40,24,28)s(32,32,28)c(48,16,12)-*t(48,32,12)-
t(32,48,28)s(32,32,28)s(40,32,28)s(24,24,20)*--
t(32,24,12)s(24,40,20)c(16,24,12)+s(24,48,20)*+
c(32,32,20)t(40,32,20)t(24,24,20)+*s(40,32,28)*
s(40,40,28)s(8,48,12)s(32,16,20)+s(24,32,28)*-
s(32,16,20)c(24,24,20)s(48,8,12)+c(40,40,20)-*
t(40,32,12)s(24,24,28)s(32,40,20)-+s(8,48,12)+
t(32,32,12)t(24,40,12)s(16,16,20)+c(24,24,12)-+
s(16,48,20)t(24,40,28)t(32,40,20)-s(16,16,12)+-
s(16,24,20)t(40,40,20)s(40,48,20)*+s(8,8,12)+
s(48,8,12)s(16,16,20)+c(32,40,20)s(24,24,20)-+
c(32,32,28)s(40,40,20)s(48,40,20)+*s(48,24,12)-
c(32,32,20)s(16,40,20)t(24,40,20)*s(16,16,12)+-
c(24,24,20)s(32,16,20)s(8,48,12)+*s(16,24,12)-
s(48,48,12)s(16,24,20)t(32,40,28)-+s(32,24,28)*
t(48,32,12)c(24,40,20)s(40,16,12)s(40,48,20)+*+
s(24,40,28)s(32,40,28)t(40,32,20)-+t(32,40,20)-
c(32,32,20)t(24,40,28)s(16,40,20)t(40,48,20)+**
s(16,40,20)s(40,16,20)c(32,40,20)+*t(16,56,12)+
s(40,24,20)c(32,24,12)-c(40,32,20)s(32,48,20)*-
t(16,40,12)t(24,48,12)t(40,48,20)++t(32,40,12)-
t(32,40,28)s(16,40,12)-s(16,16,20)s(40,32,28)-+
s(24,48,20)s(24,32,20)+s(48,16,20)s(32,40,20)+-
t(32,40,28)s(32,16,20)s(32,32,20)*-s(24,32,28)*
t(40,24,12)s(16,32,20)s(24,32,20)*s(24,16,12)-+
c(24,24,20)t(40,16,12)-c(32,32,28)s(24,32,20)--
t(24,40,28)t(24,32,20)-t(16,32,12)+c(32,32,28)*
c(40,24,20)s(40,32,20)c(40,40,20)*-s(32,24,12)-
s(40,40,28)s(16,48,20)-s(32,32,20)c(32,48,12)+*
s(40,24,20)c(32,32,20)t(24,32,20)-t(40,48,12)-*
s(32,32,28)s(24,32,28)*t(48,32,12)+t(32,40,20)-
t(32,48,28)s(24,40,12)t(32,40,20)+t(24,40,28)**
s(24,16,20)s(48,40,20)+t(40,24,20)-s(40,32,28)*
t(32,56,12)t(24,40,28)+t(24,48,28)+s(16,48,12)-
t(24,48,20)c(40,24,12)+c(32,32,20)t(40,40,12)-*
c(24,40,20)s(24,16,20)+s(40,48,12)s(40,16,20)++
s(40,24,28)s(48,32,12)c(40,48,12)+t(40,24,12)-+
s(40,48,20)t(48,48,12)-s(40,40,20)+s(32,24,28)*
c(40,40,20)c(32,32,28)t(24,48,20)-c(32,40,12)+*
s(40,40,28)c(40,32,20)s(32,40,20)s(8,48,12)+*-
t(32,32,28)s(48,40,12)-t(40,16,12)+s(40,24,12)-
s(32,40,28)c(32,32,20)*c(40,40,20)s(24,40,28)**
s(24,48,20)c(40,32,20)t(32,48,28)t(32,40,12)---
c(32,24,20)s(48,32,20)*s(32,32,12)+c(24,24,12)-
s(24,40,28)t(40,48,12)t(16,24,12)+-c(24,40,20)*
s(32,40,28)c(24,32,20)*c(16,24,12)t(40,16,12)+-
t(24,48,28)c(32,32,28)*t(32,48,20)s(32,32,12)+*
s(24,48,20)s(32,40,20)s(16,32,20)c(32,24,20)*+*
c(40,24,20)t(24,24,20)-s(16,32,12)t(40,40,20)+-
t(40,40,20)s(24,48,20)+s(40,40,20)s(24,48,12)-*
t(32,40,28)t(24,32,28)s(24,32,20)*s(48,24,20)++
t(32,40,28)s(16,16,20)s(24,48,12)+s(40,40,20)+*
c(24,40,12)c(32,32,20)c(40,40,20)-+s(24,8,12)+
t(32,48,28)c(16,24,12)+s(40,32,28)*t(40,48,20)-
s(16,48,20)s(16,32,12)-t(24,40,28)*t(32,48,20)+
c(24,32,20)c(24,40,20)s(16,40,20)s(40,24,20)+**
s(32,48,20)c(24,40,20)s(32,32,28)*s(24,24,20)--
c(24,24,20)s(40,24,20)-s(16,16,12)-s(32,32,20)+
t(32,40,20)s(40,40,20)s(16,16,12)+*t(32,16,12)+
c(16,40,12)s(32,24,20)s(16,32,20)+s(16,32,20)-+
c(32,40,20)s(40,40,28)*c(40,40,20)*s(24,32,28)*
s(32,40,20)s(16,32,12)s(16,32,20)s(32,32,28)*+-
t(24,32,28)t(48,16,12)t(32,24,20)t(32,40,20)++*
s(16,40,20)t(32,32,28)t(32,56,12)+s(40,40,12)-*
s(32,32,28)t(24,32,20)s(16,32,20)*-s(40,48,20)*
s(24,40,20)t(24,48,28)s(24,24,20)-s(48,40,12)+-
t(40,32,20)s(32,48,12)+c(24,48,12)-s(24,40,20)+
s(24,16,20)s(24,32,28)s(24,48,12)-*c(32,24,12)+
s(24,32,28)s(24,40,28)t(32,40,28)s(32,24,20)--*
t(24,24,20)t(32,32,20)s(48,8,12)+s(40,16,20)--
s(24,16,20)s(32,24,28)t(32,32,20)-t(40,24,20)-*
t(32,40,28)s(24,16,12)+s(40,40,20)*c(24,32,20)*
s(48,32,20)s(16,24,12)t(40,24,12)+-s(40,8,12)+
s(40,32,28)c(32,32,28)t(32,48,28)--c(24,48,12)-
s(24,40,28)t(32,40,12)-s(40,24,20)+s(24,24,12)-
c(48,32,12)t(24,40,12)+t(40,24,12)-s(8,32,12)+
s(24,40,20)s(32,8,12)+c(40,40,20)+s(40,40,12)-
s(32,32,28)c(16,32,12)-c(32,32,12)-s(32,24,28)*
s(24,8,12)s(40,32,28)s(40,48,20)s(32,40,20)**+
s(24,40,20)s(40,32,28)*s(16,48,12)-s(24,8,12)+
s(32,40,20)s(32,24,20)t(48,40,12)+*c(48,32,12)+
s(32,40,20)c(24,48,12)-t(32,24,20)+t(24,32,28)*
s(32,32,20)s(32,32,28)s(32,40,12)-*c(24,40,12)+
s(32,40,28)t(48,16,12)+s(32,16,12)c(40,32,20)+*
c(32,24,20)s(16,8,12)s(24,40,12)+t(16,32,12)-+
s(40,32,20)t(24,48,20)s(24,32,28)t(24,48,28)-+*
t(48,56,12)s(32,24,20)+s(40,24,28)s(24,48,20)-*
s(24,16,20)s(24,40,28)+s(16,24,12)-s(40,32,12)-
c(40,32,20)s(48,16,20)t(48,16,12)--s(24,32,28)*
s(40,24,20)t(40,48,20)+s(40,32,28)c(40,40,20)*+
t(40,24,12)s(40,40,20)+s(48,16,20)c(32,24,20)*-
s(24,40,20)c(24,32,20)*c(24,24,20)*s(32,16,20)+
s(24,16,20)s(32,16,20)*s(32,24,20)*s(32,8,12)+
s(40,24,28)c(40,40,20)t(24,24,20)-s(40,32,20)*-
s(16,24,20)c(24,40,12)t(40,16,12)+-t(24,24,20)+
c(32,24,20)s(24,32,28)*c(32,24,20)c(16,24,12)-+
s(48,16,12)s(24,32,20)+s(40,32,20)s(24,48,12)+*
c(32,40,20)s(24,40,20)s(40,48,20)+s(24,32,28)**
s(16,32,20)c(24,40,12)s(24,40,12)s(16,32,12)++*
s(48,32,20)c(32,32,28)s(24,32,28)s(16,24,12)--*
s(40,24,20)s(16,48,20)s(32,40,20)+c(40,32,20)*-
t(32,32,28)t(40,32,12)t(48,16,12)+-t(32,32,20)-
s(40,24,28)c(32,32,28)*c(32,32,20)*s(24,40,28)*
s(40,16,12)s(40,32,12)t(32,48,20)++s(40,32,28)*
t(24,32,28)c(40,24,12)-s(24,32,20)t(24,40,20)*-
s(40,32,28)t(24,48,20)s(40,16,12)+t(40,40,20)-+
s(48,40,12)s(32,24,20)s(40,32,20)t(24,40,20)--+
s(24,32,12)s(48,24,20)s(16,8,12)+s(48,16,20)*+
c(32,32,20)s(24,40,20)s(40,16,20)+*c(24,32,20)*
c(40,48,12)t(16,48,12)+t(24,48,12)+s(24,40,28)*
s(32,32,20)s(48,32,12)c(32,24,12)+s(32,24,20)**
s(40,40,20)t(32,24,20)-t(24,48,12)-t(32,40,12)-
s(32,24,28)c(40,24,20)*c(48,24,12)+c(48,24,12)-
s(32,32,20)s(32,24,20)s(40,32,28)*s(40,24,20)**
s(40,16,12)c(32,40,12)s(40,32,20)t(24,24,20)-++
s(48,48,20)s(48,40,20)*t(24,40,12)+t(32,40,12)-
t(40,48,12)c(24,40,20)s(32,48,12)-+s(40,24,20)-
c(32,24,20)t(32,56,12)t(24,32,28)+*s(8,32,12)+
t(24,32,20)t(32,32,28)s(24,32,28)*c(32,40,20)**
s(32,32,28)t(32,40,28)t(48,16,12)+c(24,48,12)-*
s(32,40,20)t(24,48,28)t(24,40,28)**s(48,16,20)+
s(24,48,20)s(32,24,12)t(24,40,28)c(40,48,12)++*
c(32,32,28)s(16,32,20)s(40,32,28)t(24,32,28)*-*
s(24,40,20)s(24,32,20)*s(48,24,20)c(32,32,20)*-
t(48,32,12)c(48,40,12)+t(32,48,28)+c(24,40,12)-
s(24,48,20)t(32,48,28)s(32,40,12)-*s(8,8,12)+
t(24,48,20)t(32,40,28)c(48,40,12)-+t(32,48,28)*
s(16,24,12)t(24,48,28)+c(32,32,20)s(48,48,12)+*
c(24,32,20)s(48,40,20)s(32,8,12)+s(40,32,20)+*
s(24,32,28)c(40,32,12)-s(32,32,28)*s(24,24,28)*
t(16,40,12)c(32,24,20)s(32,32,20)+t(32,40,12)-+
c(24,32,20)t(32,48,20)s(40,48,20)*t(32,40,20)+-
s(32,16,20)c(32,32,20)-s(40,24,20)+s(16,16,20)+
c(24,32,20)s(8,40,12)+c(16,32,12)-t(32,32,28)*
s(32,32,28)c(40,32,20)s(48,16,12)+s(48,48,20)*-
t(16,16,12)s(32,32,20)c(32,24,12)-+c(24,48,12)-
c(24,24,20)t(24,40,28)s(32,40,20)*-s(16,40,20)-
c(40,40,20)s(48,16,20)+s(8,16,12)+s(32,48,20)*
s(40,16,12)s(32,24,28)s(24,32,28)-t(16,40,12)++
c(32,24,20)s(40,32,28)*c(40,32,20)*c(24,40,20)*
c(24,32,20)s(32,48,20)+s(32,16,20)c(32,40,20)--
c(24,32,20)t(24,48,12)t(32,24,20)+c(32,48,12)-*
c(40,40,20)s(40,32,28)s(40,40,28)*s(16,40,20)+*
s(32,40,28)s(16,40,20)s(24,32,28)t(32,16,12)-**
s(40,40,20)t(32,32,12)-c(32,48,12)+s(40,40,20)*
s(24,24,28)s(16,24,20)s(24,40,20)t(24,56,12)+-*
s(40,32,28)c(32,24,20)c(40,16,12)--t(32,24,12)-
c(40,40,20)t(24,40,28)*s(16,8,12)t(24,24,20)+-
t(24,48,28)c(24,32,20)s(40,16,12)++t(40,16,12)-
c(24,40,20)t(32,24,12)c(40,40,20)s(32,40,20)-+-
c(32,24,20)c(32,40,20)s(40,40,28)s(40,32,28)*+*
c(32,32,20)c(32,40,20)*s(40,32,28)*s(8,24,12)+
c(32,32,28)s(32,24,20)-t(24,40,28)t(32,32,28)+-
s(8,8,12)c(32,40,20)+c(40,32,20)c(48,40,12)-*
c(24,16,12)s(40,48,20)t(24,56,12)+c(40,48,12)-+
t(32,40,28)s(24,48,20)c(32,32,20)c(32,24,20)*+*
s(40,40,20)c(24,40,20)+s(40,32,12)-c(24,16,12)+
c(32,40,20)s(48,32,12)s(24,48,20)t(32,40,12)-+*
c(24,32,20)s(16,48,12)-s(16,40,20)*t(40,40,20)+
t(24,40,28)t(32,32,20)+c(24,24,20)s(32,40,20)*-
s(32,48,12)c(24,32,20)s(24,48,12)-+s(32,48,12)-
t(16,16,12)s(32,32,28)s(16,32,20)+c(32,24,20)*+
t(24,32,28)s(24,40,12)-s(8,40,12)+s(40,32,28)+
s(48,24,20)c(40,32,20)*s(40,32,28)s(40,16,12)-*
s(48,32,20)s(40,32,20)t(32,32,12)s(48,24,20)+**
s(40,16,20)c(24,24,12)+c(16,16,12)-s(32,32,20)-
s(24,32,20)t(16,40,12)s(16,24,20)+*s(8,16,12)+
s(24,40,28)s(24,40,20)-s(40,40,28)+c(32,32,20)*
s(24,40,28)s(32,16,12)t(24,48,28)+t(32,40,12)-*
c(40,24,20)s(40,40,20)s(32,32,20)c(40,40,20)*+*
s(48,24,20)t(40,56,12)+s(40,32,20)-s(32,40,20)+
s(24,40,28)s(8,8,12)c(24,32,12)++s(40,32,20)+
t(24,24,20)t(40,40,20)+s(24,48,20)t(40,32,12)+-
s(8,8,12)s(32,32,20)s(24,16,12)-+t(32,48,20)-
s(40,24,20)t(32,40,28)+c(16,40,12)t(24,24,20)+*
s(32,32,28)c(24,24,20)s(16,40,20)s(24,40,12)--*
s(32,24,28)s(24,8,12)-s(24,24,20)*t(24,48,20)-
s(32,40,28)s(40,40,20)-t(24,24,20)-s(24,40,28)*
s(40,48,20)c(48,40,12)t(24,32,20)t(16,24,12)-+*
s(40,40,28)s(40,24,28)c(32,40,20)--s(48,32,20)*
t(24,40,28)s(40,32,28)*t(40,40,12)+s(16,16,12)+
s(24,40,28)s(32,24,12)s(40,48,20)c(32,32,28)*+*
s(40,40,20)s(32,32,28)c(40,40,20)**s(32,32,20)*
t(32,32,28)t(24,48,12)+c(16,48,12)s(16,24,20)+*
s(32,24,20)s(40,40,12)-t(16,24,12)+c(24,48,12)+
t(24,32,28)s(48,40,20)c(24,24,20)s(48,8,12)+--
s(32,40,12)t(24,24,20)+t(40,32,12)+t(32,32,20)*
s(16,32,20)t(32,56,12)c(24,32,20)+s(40,24,28)-*
c(24,40,20)s(32,32,28)*s(24,32,20)*t(32,32,28)*
s(24,32,28)c(16,16,12)-s(40,24,28)*t(32,32,20)*
s(24,32,12)s(32,48,20)+t(32,48,28)t(48,48,12)+*
s(48,32,20)s(40,40,28)*t(32,24,20)+t(40,32,20)-
t(16,24,12)s(16,48,12)+s(32,8,12)+s(40,40,28)-
s(40,48,12)s(16,32,20)t(16,56,12)++s(24,40,20)*
s(40,40,20)s(48,40,20)*s(32,24,28)c(24,16,12)-+
t(24,32,28)c(32,40,12)s(16,40,20)+t(32,40,20)*-
s(24,24,28)s(32,32,28)s(40,32,28)*c(24,40,20)**
t(48,40,12)t(48,24,12)s(24,24,28)+c(24,40,12)-+
c(32,24,12)t(48,40,12)+c(32,40,20)*c(32,16,12)+
t(24,48,28)s(48,48,20)+s(24,48,20)c(40,40,20)-*
s(40,24,28)c(48,32,12)c(32,32,20)+s(32,40,20)**
s(48,16,20)s(48,24,20)s(48,16,20)c(24,24,20)-*-
s(24,48,20)s(32,40,28)t(16,32,12)-s(24,24,20)-+
t(32,40,28)s(40,24,20)-s(40,40,12)-t(24,48,28)*
c(24,24,20)s(40,16,20)c(40,32,20)-+s(32,32,28)*
s(8,24,12)s(32,40,28)+s(40,24,20)s(40,8,12)+*
s(48,16,12)c(16,32,12)+s(48,24,20)s(48,16,20)*-
t(24,48,28)t(16,56,12)-s(16,32,20)s(40,40,28)--
s(24,24,28)c(16,48,12)s(40,16,12)+-t(32,48,20)-
s(24,24,28)c(48,40,12)+s(40,40,28)c(24,16,12)+-
s(32,24,20)s(24,32,28)s(32,24,28)*c(16,32,12)+*
c(32,32,20)c(16,40,12)t(40,32,20)+s(24,32,28)**
s(16,40,20)s(16,16,20)-s(24,40,20)c(40,24,20)-*
t(40,24,20)c(40,40,12)+t(48,40,12)s(8,8,12)+-
t(40,48,20)s(40,24,28)+s(24,24,28)*c(32,40,20)*
t(40,40,20)s(48,16,20)c(32,32,20)s(48,32,20)*-+
s(40,32,20)s(16,16,12)t(32,40,28)++s(32,40,12)-
s(40,32,28)t(32,48,20)c(16,40,12)--c(32,24,20)-
s(16,48,20)t(32,40,28)t(32,48,12)s(16,40,20)+*+
c(24,32,20)s(24,48,20)s(40,24,28)--s(24,40,28)*
t(24,40,28)s(48,24,12)s(16,8,12)++c(32,32,28)*
c(32,40,20)c(40,40,20)s(32,40,20)t(40,32,20)-++
s(48,32,20)c(32,16,12)+s(40,40,28)c(32,32,20)-+
t(24,32,28)c(24,32,20)t(32,40,28)**s(24,24,12)+
s(40,32,12)t(16,32,12)+s(48,16,20)+s(48,24,20)*
s(32,16,20)c(24,32,20)-c(32,40,12)+t(40,16,12)-
t(40,16,12)s(40,24,20)s(40,32,20)*+s(48,24,12)-
s(32,16,20)t(32,24,20)-s(48,16,20)+t(40,48,12)+
t(16,48,12)s(16,32,20)+t(24,32,20)*s(40,40,12)+
c(32,32,28)t(40,24,20)c(24,32,12)--s(40,48,12)-
t(24,32,28)s(32,32,20)+t(40,32,20)s(48,24,12)+*
t(48,24,12)s(24,40,28)s(16,16,20)+s(32,16,20)*+
c(32,24,20)c(32,32,28)t(24,32,28)c(40,24,20)--*
t(40,48,12)c(24,24,12)c(24,16,12)+s(32,24,20)++
c(16,16,12)t(24,48,20)+t(40,48,20)+s(24,24,28)-
s(32,24,28)s(8,24,12)+s(16,40,12)s(32,8,12)+-
s(32,16,12)s(24,40,20)+c(32,32,20)*s(32,48,12)-
s(32,40,28)s(40,16,20)t(24,40,20)+t(40,16,12)-*
s(32,8,12)s(40,24,12)s(48,48,12)++s(24,40,28)-
c(24,24,20)t(32,40,20)+c(24,40,20)*c(40,32,20)*
s(32,24,28)c(32,24,20)s(24,48,20)+s(40,32,28)*-
t(24,24,20)c(24,24,12)s(16,48,12)+c(40,24,12)-+
s(40,32,28)t(48,16,12)-t(40,40,20)t(40,56,12)+*
c(32,32,28)s(48,48,20)s(48,32,12)-*s(24,32,28)+
s(40,32,20)t(32,32,28)c(24,16,12)c(16,16,12)+-*
t(24,48,28)t(32,40,28)t(16,16,12)t(24,48,12)+--
c(24,24,20)s(32,16,20)c(40,24,20)s(24,32,28)*+*
s(16,40,12)s(40,32,28)t(24,40,28)*+t(40,48,20)-
s(16,24,20)t(16,48,12)+c(32,32,28)c(40,48,12)-+
s(8,48,12)c(40,24,12)t(48,48,12)+c(40,32,12)++
t(40,40,12)t(32,56,12)+s(16,32,20)+s(32,32,20)-
s(16,32,20)c(16,40,12)s(40,16,12)+c(16,32,12)+*
c(32,40,20)t(32,32,28)*s(48,48,20)s(16,40,12)+*
s(24,24,28)s(40,32,28)s(8,40,12)++s(32,32,12)-
s(48,24,12)s(24,24,28)+s(16,40,20)+t(24,24,20)-
t(24,48,28)s(48,48,20)+t(24,40,28)+c(32,32,28)*
s(32,40,28)s(40,40,28)*s(24,40,28)s(40,16,20)-*
c(32,40,20)t(40,24,20)s(48,40,12)--s(24,32,28)*
t(40,48,12)c(32,24,20)t(32,24,12)-+c(24,32,20)*
s(24,24,20)s(32,40,28)c(24,40,12)-s(48,16,20)--
c(24,24,12)s(24,32,12)s(40,24,20)++s(24,32,20)*
c(32,40,20)t(40,56,12)s(32,8,12)+s(16,24,20)-+
s(16,32,12)s(32,24,12)s(8,8,12)++t(24,40,20)-
t(24,32,20)t(24,32,28)t(24,48,28)*c(32,32,12)++
s(32,8,12)c(16,48,12)s(16,24,20)++c(24,32,20)-
t(40,32,20)t(16,32,12)s(8,32,12)+s(32,16,12)+-
s(24,40,28)s(48,24,12)t(40,48,20)+c(40,40,20)**
c(32,32,20)s(48,24,20)s(16,24,20)t(24,32,20)-+-
s(32,24,20)s(40,32,28)t(24,40,28)*t(32,32,28)*-
s(24,8,12)s(32,48,20)c(16,40,12)-s(40,48,12)-+
s(40,24,28)s(24,40,20)s(32,32,20)*s(40,40,20)+-
c(24,32,20)c(24,40,12)-s(32,8,12)t(24,40,20)+-
t(32,40,28)c(40,24,12)s(16,40,20)+c(24,32,20)+*
c(32,24,12)c(32,32,28)t(24,40,28)t(32,48,20)+-+
t(32,32,28)s(24,40,28)c(24,24,20)**s(40,16,12)+
t(32,40,20)s(40,24,28)s(48,8,12)-+s(40,40,20)+
s(48,16,12)s(32,8,12)c(32,24,12)t(16,40,12)+++
s(48,32,20)c(40,40,20)*s(32,24,12)-s(48,48,12)+
s(16,40,20)s(24,32,28)t(24,32,28)s(40,48,12)+**
t(24,24,20)s(16,32,20)s(24,32,20)*s(32,32,12)+*
s(40,16,20)s(8,40,12)s(40,32,20)t(24,40,28)-+-
t(32,32,28)c(32,40,20)c(40,40,20)s(48,16,20)-**
s(24,32,20)s(40,16,20)s(32,16,20)++t(40,24,20)*
t(32,32,28)s(16,48,20)s(24,24,28)+s(8,40,12)-*
t(24,48,20)c(32,16,12)s(32,32,20)++t(24,48,28)*
s(48,24,12)s(24,40,20)s(24,24,28)c(40,24,20)*-+
s(32,16,12)s(16,24,12)+t(32,40,28)-c(16,48,12)+
c(32,32,12)t(16,56,12)s(16,16,12)++s(24,24,28)*
s(32,40,28)t(24,32,28)t(40,48,20)-s(24,40,28)**
s(16,24,20)s(16,32,20)s(48,16,12)s(24,40,28)+**
s(40,32,28)t(40,32,20)-s(32,32,20)s(24,40,20)+-
t(32,40,28)s(32,32,28)s(32,48,12)-*s(40,48,12)-
c(24,40,20)t(16,56,12)t(32,32,28)+*s(24,40,12)-
s(24,16,20)s(48,40,20)c(32,40,20)*+s(32,32,12)-
t(24,24,20)s(24,24,28)t(24,48,20)t(16,16,12)+-*
s(32,24,28)s(24,40,28)-s(40,40,20)c(32,48,12)+-
t(16,24,12)s(24,40,28)s(40,40,28)-t(48,32,12)++
s(24,40,28)s(24,24,20)s(48,40,20)t(24,32,28)+*-
s(24,24,20)t(32,32,20)s(32,40,20)*-s(16,24,20)*
s(24,32,28)c(32,24,20)s(32,24,20)s(8,32,12)+*-
s(24,24,12)c(40,16,12)s(48,16,12)+s(40,32,12)++
s(24,24,28)t(24,24,12)-c(40,32,20)s(32,48,20)*-
s(32,32,28)c(32,40,12)-c(16,40,12)s(24,16,12)+-
s(32,40,28)c(32,24,20)c(32,24,12)-t(16,48,12)+*
s(16,40,20)t(24,32,28)*c(16,16,12)+t(24,32,20)-
s(48,24,20)s(40,16,20)s(32,24,28)*s(48,16,20)**
c(40,40,20)t(24,24,20)-c(24,48,12)+t(32,40,20)-
s(24,32,28)s(40,40,28)*s(16,32,20)+c(24,24,12)-
c(24,32,20)s(32,32,28)*c(24,40,20)*t(32,56,12)+
t(24,48,20)s(40,32,20)c(48,16,12)c(24,24,12)++-
s(32,24,20)t(32,32,28)s(32,16,12)-c(32,32,20)**
s(40,16,12)s(40,32,12)c(16,32,12)++t(24,32,12)-
c(32,32,28)c(16,40,12)t(32,40,20)+s(8,24,12)+*
s(16,32,20)t(48,40,12)+t(32,32,28)c(48,48,12)--
t(40,32,20)c(24,32,20)+s(32,40,20)*t(16,32,12)-
s(32,48,20)s(40,16,20)+s(48,16,20)-s(16,40,20)-
c(48,24,12)s(16,16,20)c(24,40,20)s(40,32,28)*++
c(32,32,20)s(16,32,20)-s(48,24,12)s(48,16,12)+-
t(24,32,20)s(48,16,12)s(32,8,12)++s(24,16,12)+
t(24,32,28)t(40,24,20)-s(24,40,28)s(8,16,12)+*
s(32,16,20)s(32,32,20)+s(48,16,12)c(24,40,12)+*
t(48,16,12)s(40,40,28)c(32,48,12)-+s(32,32,28)*
s(24,16,20)s(24,24,12)s(24,16,12)+-s(24,40,28)+
s(40,24,28)s(32,32,28)*c(24,32,20)t(40,32,20)--
s(40,24,28)s(40,24,28)s(32,40,28)*-c(24,24,20)-
c(32,32,12)t(24,32,20)+t(32,40,20)s(16,40,12)--
t(48,48,12)c(32,40,12)s(8,40,12)t(32,32,12)+++
c(32,40,20)s(40,40,12)c(32,16,12)+-s(40,32,28)*
s(40,40,20)t(24,32,20)s(32,48,20)c(24,48,12)---
c(32,24,20)c(32,40,20)t(32,48,20)t(40,40,20)+--
c(24,24,20)t(16,32,12)-s(32,32,28)c(48,32,12)-*
s(24,40,20)s(16,24,20)s(24,40,28)t(32,48,20)-*-
t(32,48,20)t(24,48,12)-t(40,40,20)t(24,24,12)++
s(32,32,20)t(16,48,12)+t(40,32,20)t(32,24,12)--
s(24,24,28)s(48,16,20)c(32,24,12)-s(40,32,28)+*
s(32,40,20)s(40,40,20)*t(24,40,28)*t(40,32,20)+
s(24,32,28)s(24,40,12)-s(32,32,20)c(32,40,20)*-
s(40,8,12)t(16,40,12)s(48,48,20)c(24,32,20)-++
s(24,48,20)s(32,40,20)s(48,40,20)*-s(32,40,28)*
c(40,40,12)s(32,24,12)+c(24,40,20)s(32,24,20)*+
s(48,24,20)c(48,40,12)-c(32,24,20)s(40,24,20)*+
t(24,40,28)s(32,24,20)c(32,24,20)c(32,40,20)**-
s(24,8,12)t(24,48,12)s(40,24,28)s(32,40,20)*++
s(32,8,12)c(32,40,20)s(24,48,20)*+c(24,40,20)*
s(32,32,28)s(40,40,28)c(40,24,20)+s(32,16,20)*-
t(24,40,28)t(24,56,12)c(40,40,12)+-t(24,32,12)-
s(32,32,20)c(40,40,20)t(32,24,20)t(32,40,28)+**
t(24,40,28)c(16,48,12)-s(8,40,12)+s(40,40,28)*
c(40,24,20)t(32,24,20)s(32,8,12)--s(24,40,28)+
c(32,40,20)s(32,32,28)*t(16,48,12)-s(40,24,20)-
c(24,40,20)s(32,32,28)c(32,40,20)t(24,48,28)+**
s(48,48,12)c(16,32,12)+s(16,8,12)+t(24,40,28)-
t(32,40,28)s(40,48,12)s(32,40,20)t(32,48,20)-+*
s(48,16,20)s(40,32,28)t(40,32,20)c(40,16,12)+*-
t(48,32,12)s(40,48,12)+s(40,32,12)+s(16,24,20)+
t(40,48,12)s(24,48,20)+t(32,32,28)s(48,16,20)++
t(24,24,20)t(48,40,12)+c(48,24,12)+s(40,32,20)*
t(16,40,12)s(32,32,20)+t(32,48,28)-c(24,32,20)*
s(40,24,28)s(40,32,20)-s(24,24,28)s(40,40,28)-+
s(24,16,20)t(32,32,20)+t(24,32,28)s(16,24,20)*-
s(16,24,20)c(32,24,20)s(16,48,20)-s(40,32,20)*-
s(32,40,28)s(32,24,28)*c(32,40,20)s(24,48,20)*+
s(32,32,20)c(16,16,12)t(32,32,28)s(32,16,20)*+-
c(16,24,12)t(24,48,20)t(24,56,12)-+t(24,40,28)*
c(40,32,20)c(40,40,20)s(32,24,20)s(40,32,28)+**
t(48,16,12)s(40,32,20)c(24,32,20)*+t(40,48,20)-
s(40,40,28)t(32,48,28)+t(40,48,20)t(24,40,20)+-
s(16,32,20)s(8,8,12)c(40,24,20)t(24,32,28)++*
s(24,8,12)c(32,32,20)+t(16,24,12)s(24,40,20)+-
t(24,32,28)s(24,40,12)-c(40,48,12)t(32,32,28)+*
s(24,48,20)s(40,8,12)+t(24,48,20)s(24,40,20)*-
t(24,48,20)t(32,32,20)+c(32,32,20)*s(8,24,12)+
c(48,40,12)c(32,32,20)+s(32,48,20)c(32,32,28)**
t(32,24,20)s(32,32,28)s(40,48,12)c(48,32,12)+*-
c(40,40,20)s(32,16,20)t(24,40,28)s(16,48,12)-+*
s(24,24,28)s(32,32,20)s(40,24,20)c(40,32,20)***
s(40,40,28)s(16,8,12)t(24,40,28)t(40,48,12)-+*
s(32,32,28)s(24,16,20)t(24,40,28)+*s(48,48,20)-
t(48,24,12)s(24,16,12)s(8,48,12)+s(16,48,12)-+
c(32,32,28)c(48,16,12)s(40,24,12)+c(32,24,20)*-
s(48,24,20)s(24,40,12)+s(8,32,12)+c(32,40,20)-
c(40,32,20)c(32,32,20)*t(32,40,28)*s(32,40,20)*
c(48,40,12)s(40,24,12)s(8,16,12)c(48,32,12)+++
s(24,40,20)t(24,48,28)*s(8,16,12)s(8,48,12)+-
s(48,40,20)t(32,32,20)-t(16,16,12)c(40,40,12)++
c(24,24,20)s(32,32,28)*c(32,24,12)-c(48,16,12)+
s(24,40,28)t(40,48,20)-s(40,16,20)s(16,24,20)+*
s(24,24,28)s(16,40,20)s(16,24,20)s(32,40,28)-+-
t(32,32,28)s(24,32,28)*s(24,16,20)-s(32,32,20)*
t(24,40,28)s(16,16,12)t(24,40,28)+s(40,24,20)-*
t(24,48,28)c(40,32,20)c(40,24,20)*c(24,48,12)+-
c(48,48,12)t(24,48,20)s(48,48,20)-+t(40,48,12)-
c(32,32,28)s(24,32,20)s(48,40,20)+s(32,24,12)--
t(24,40,20)s(40,8,12)+c(40,40,12)s(8,32,12)+-
s(40,32,20)s(32,8,12)s(40,32,28)+c(24,40,20)**
s(32,24,20)t(32,48,28)-s(24,24,20)+s(32,40,28)*
s(48,16,20)s(40,24,20)c(32,24,20)*s(40,24,12)--
s(32,40,28)s(32,24,28)*c(48,24,12)+s(40,24,28)*
s(24,16,12)s(48,24,20)t(40,16,12)-+c(40,24,12)+
c(40,40,20)s(40,32,20)s(32,48,12)++s(24,32,28)-
s(40,24,12)s(16,40,20)+s(48,16,20)c(32,32,28)+*
s(48,40,20)s(32,40,28)*s(48,32,20)s(40,32,20)**
c(40,40,20)t(24,48,20)s(24,32,28)s(32,40,20)+*-
c(48,40,12)c(40,32,20)s(48,40,12)-+t(32,48,28)*
t(40,56,12)s(32,24,20)s(40,24,20)s(48,24,20)*-+
s(32,32,20)c(32,24,20)t(48,16,12)c(40,24,12)+*-
s(24,32,28)t(24,40,28)*t(40,24,12)+c(24,24,12)-
s(32,48,20)c(32,32,28)s(40,40,20)s(40,8,12)+**
c(32,32,20)s(32,24,20)*t(24,40,20)-s(32,16,20)*
s(16,48,20)s(24,40,28)s(40,40,20)s(48,24,12)-*-
s(48,32,20)c(24,32,20)c(32,24,20)+*s(24,40,12)+
s(32,48,20)s(24,32,20)s(16,16,12)--t(40,40,12)+
s(32,40,20)t(48,48,12)c(32,16,12)+-t(24,48,28)*
t(32,32,28)s(48,32,12)-s(40,40,28)*c(24,32,20)*
c(40,32,20)s(24,24,12)-t(32,48,20)-s(32,40,20)-
s(48,40,12)s(40,40,28)c(40,24,20)*+s(48,24,20)*
s(16,8,12)t(24,32,28)t(24,24,12)-+c(48,32,12)+
t(32,40,28)s(16,8,12)+s(40,16,20)+s(40,32,28)*
t(24,24,20)c(32,32,12)s(40,24,20)+s(24,40,28)-+
s(48,32,20)c(40,48,12)s(16,32,12)+-s(8,16,12)+
s(24,48,20)c(40,32,20)s(32,24,28)*-s(16,48,20)*
c(32,32,28)t(40,40,12)s(8,8,12)+s(24,32,28)+*
s(16,48,20)s(32,48,12)s(48,16,12)++t(32,48,28)+
s(24,32,12)s(40,24,20)+s(24,24,28)t(16,32,12)-*
c(32,40,20)t(24,24,20)+c(40,40,20)s(48,40,20)-*
s(32,40,20)s(32,24,28)c(24,32,12)-s(32,8,12)-+
t(24,48,28)s(16,40,12)-c(40,16,12)+s(40,16,20)*
c(24,32,20)s(40,40,20)t(24,40,12)-t(32,48,28)*-
s(16,24,12)s(32,48,12)+s(32,24,20)t(16,56,12)+-
s(32,32,28)s(40,48,20)c(40,24,20)s(40,32,20)*--
t(24,40,20)t(24,40,28)t(40,16,12)+s(32,24,28)*+
c(40,48,12)t(40,32,20)c(24,16,12)++c(24,40,12)-
t(40,48,12)s(32,24,12)+s(48,32,20)s(32,48,20)--
s(16,48,20)c(40,24,20)+c(24,40,20)t(24,40,28)**
s(24,24,28)c(32,32,20)*s(24,40,28)s(32,24,12)-*
s(40,24,28)c(32,32,12)-s(32,24,28)c(40,40,20)*-
t(40,40,20)t(24,32,20)+c(16,24,12)-s(48,40,12)-
c(40,40,20)s(24,24,28)s(24,32,20)c(24,24,20)*-+
c(32,16,12)c(24,40,12)+t(24,40,28)s(24,40,20)*+
s(24,16,20)c(40,32,20)c(24,24,20)*s(24,16,12)--
t(24,48,20)t(40,24,20)t(32,40,28)+s(48,24,12)-*
s(40,40,28)c(16,16,12)s(40,48,20)t(32,48,28)++-
s(32,40,12)s(16,24,12)s(24,32,12)++t(24,32,20)*
s(32,40,28)s(24,24,20)+s(16,16,20)-c(24,40,20)*
s(48,32,12)t(40,40,20)+c(40,24,12)t(32,32,12)+-
c(32,40,20)t(24,32,28)s(40,32,12)+-t(40,48,20)+
s(40,24,20)s(24,16,20)s(24,32,20)*t(24,32,12)++
c(40,40,20)s(32,40,28)*s(48,40,20)*s(40,32,20)*
s(48,32,12)s(16,32,20)s(32,32,12)-+s(40,32,20)+
t(16,16,12)t(48,24,12)+s(24,16,20)+s(24,32,28)*
c(24,40,12)s(40,24,12)+s(24,16,12)+s(16,16,20)-
s(24,32,28)c(16,48,12)-s(32,40,20)*s(40,40,20)*
t(32,40,28)s(24,24,12)-t(48,16,12)s(32,32,20)++
s(32,40,20)t(48,56,12)+t(32,48,12)-c(40,48,12)-
t(24,32,28)t(32,48,28)s(24,32,28)s(40,24,12)-*+
s(40,32,28)c(48,16,12)t(40,32,20)+-c(40,48,12)-
t(24,40,28)s(40,40,28)s(24,32,20)*-s(24,32,28)*
c(24,24,20)s(32,32,28)*t(32,40,12)s(16,32,20)+*
s(16,40,12)c(40,32,20)t(32,40,28)s(48,40,20)*-+
s(32,32,28)t(40,24,20)-s(32,40,20)s(40,16,20)-+
c(48,32,12)c(24,16,12)+s(32,48,20)+t(40,40,20)*
s(16,32,20)s(32,40,20)s(24,24,20)+s(16,16,20)+*
c(24,40,20)c(24,32,20)s(32,16,12)t(24,40,20)+**
t(40,16,12)t(32,32,20)+c(24,16,12)+c(40,32,20)*
s(40,32,20)c(24,40,20)c(32,24,20)+s(32,48,20)+*
s(24,24,28)s(16,40,20)t(32,48,20)+*s(40,24,12)+
c(16,48,12)s(48,24,20)+c(40,16,12)-s(24,48,12)-
s(40,32,12)t(24,32,28)c(16,24,12)-+c(48,40,12)-
s(40,24,28)c(32,32,28)*c(24,16,12)s(40,40,28)+*
t(40,48,12)s(48,8,12)s(8,24,12)c(24,32,12)+++
s(48,48,20)c(16,48,12)c(40,24,20)+s(48,24,12)-+
t(40,48,20)s(40,40,28)c(32,32,12)-s(40,48,20)*+
c(24,40,20)s(40,32,12)-t(24,40,28)t(32,24,12)+*
c(32,32,28)s(48,16,20)-s(16,32,12)-t(24,32,20)+
t(16,48,12)s(40,16,12)+t(40,40,20)+c(16,48,12)-
t(24,24,12)s(32,24,28)s(32,32,28)t(32,32,12)--+
s(16,24,20)s(32,40,28)c(16,24,12)+t(32,48,20)-*
c(48,32,12)c(24,16,12)+s(16,48,12)c(48,40,12)+-
c(40,40,20)s(24,40,28)c(32,40,12)-t(48,24,12)+*
t(40,24,20)t(32,40,28)+s(16,48,20)+s(24,40,28)*
c(40,40,12)s(32,8,12)+s(16,40,12)+s(32,16,20)-
c(24,24,12)t(32,40,20)+t(40,40,20)s(24,48,12)--
s(40,32,28)s(16,48,20)+s(24,32,28)*t(32,32,12)-
s(32,32,20)s(24,48,20)c(40,48,12)-+s(40,24,28)+
t(32,40,28)c(40,32,20)s(24,32,28)s(32,24,28)***
s(40,16,20)t(40,40,20)s(32,16,20)s(24,16,20)*+*
s(48,40,20)t(32,40,12)-s(24,40,12)+c(16,32,12)-
t(24,40,20)s(16,24,20)c(24,40,20)+t(32,32,12)-*
s(40,32,28)s(24,40,12)-s(32,24,20)s(32,32,20)*-
t(40,32,12)t(24,48,20)+c(32,40,20)s(24,48,20)**
s(40,24,28)c(32,24,12)t(24,24,12)+-s(40,40,28)*
c(24,24,20)s(40,48,20)c(32,32,20)s(48,24,12)+*+
s(40,32,28)c(32,32,12)s(32,24,12)+s(16,16,12)+*
s(16,16,20)s(8,32,12)c(16,32,12)++s(24,40,28)-
s(40,16,20)c(40,32,20)*s(40,40,20)+s(32,32,20)*
t(24,40,28)s(32,32,20)t(40,56,12)t(24,32,28)+*-
t(40,16,12)c(48,24,12)+s(32,16,20)s(32,40,20)-+
t(40,32,20)s(48,48,20)s(32,48,20)s(16,48,20)-*-
c(16,40,12)s(32,8,12)+s(40,40,20)t(24,48,28)-+
s(24,40,28)s(16,40,12)-t(24,32,28)s(40,16,20)-*
s(24,32,20)t(32,32,12)t(48,16,12)++c(40,40,12)-
t(24,48,20)t(16,32,12)+t(32,56,12)+s(24,40,12)-
c(40,24,20)s(24,40,20)s(40,32,12)--t(32,40,20)-
s(40,24,20)t(32,32,12)s(24,16,12)+-s(24,48,20)+
s(24,32,28)c(32,40,12)-t(24,24,12)-s(24,32,20)-
s(32,48,20)c(16,32,12)+c(24,32,12)t(16,40,12)+*
s(32,32,20)s(40,32,28)c(24,16,12)+s(40,16,20)-*
c(40,24,20)s(40,32,20)t(24,24,12)+t(32,56,12)+*
s(24,32,28)c(40,24,20)*t(24,32,12)t(16,56,12)+-
c(32,40,20)t(24,40,28)*c(16,32,12)s(48,32,20)+-
s(24,16,20)s(48,48,20)s(40,48,20)c(24,24,12)+*+
c(40,32,12)t(16,32,12)+s(40,24,12)+t(32,40,20)-
s(40,16,20)s(40,24,28)c(40,32,20)*t(24,40,12)-*
s(16,24,20)c(40,16,12)s(24,40,20)+s(24,24,28)*+
s(48,32,20)s(16,40,20)s(40,24,28)+c(24,16,12)-*
t(32,32,20)c(40,32,20)c(32,40,12)-+c(16,32,12)-
s(40,24,28)s(8,8,12)s(32,16,12)+-c(40,24,12)-
s(40,8,12)s(48,32,20)s(48,48,12)s(40,24,20)+*+
s(32,48,20)t(32,32,28)s(40,40,28)s(48,32,20)*+-
s(8,16,12)s(24,40,12)+s(40,24,20)s(32,16,20)--
c(24,32,20)t(48,56,12)+t(32,48,12)c(40,24,20)+*
s(40,8,12)s(8,32,12)+c(40,24,20)+t(48,16,12)-
t(24,16,12)s(48,32,12)+t(24,48,28)s(24,32,28)-+
s(32,32,28)c(24,24,20)+s(24,32,20)s(24,32,12)--
s(16,32,20)s(48,48,20)s(16,8,12)c(16,32,12)++*
s(16,40,20)s(40,40,20)t(32,40,20)c(48,40,12)+*-
s(24,32,28)s(40,32,28)t(40,56,12)+s(8,16,12)+*
c(16,16,12)t(48,48,12)+s(24,24,12)-c(32,32,20)+
t(40,24,20)s(24,40,28)+c(24,24,20)*s(40,40,12)-
c(24,32,20)c(24,40,20)t(48,32,12)+s(24,48,20)-*
c(40,32,20)s(24,16,12)+c(40,40,12)s(32,8,12)+*
s(24,32,20)c(24,32,12)-t(32,48,28)c(32,32,28)*+
c(24,24,20)s(40,40,12)c(40,48,12)++s(24,40,28)-
c(40,24,20)c(32,32,20)c(24,16,12)+t(32,24,12)-*
c(24,32,20)s(40,32,20)s(32,24,28)*+t(24,32,28)*
c(40,32,20)s(32,40,28)s(24,40,28)**t(32,40,20)+
t(16,40,12)s(48,16,20)+c(40,24,12)-t(24,40,12)-
s(32,32,20)c(24,32,20)+s(48,40,20)s(40,32,28)+*
t(32,40,28)c(48,48,12)s(24,24,20)+*s(40,40,20)*
s(32,40,28)t(24,32,28)s(24,40,20)*s(16,32,20)**
s(24,32,20)s(40,48,20)-s(24,24,28)c(32,24,20)**
t(32,56,12)s(16,32,12)c(32,24,20)+s(32,40,28)*+
c(32,24,20)t(24,48,28)c(32,32,20)s(40,32,20)+*-
c(40,32,20)s(32,32,28)t(48,40,12)-c(32,32,12)-+
s(48,48,20)s(24,40,28)s(40,24,28)-s(40,24,20)++
c(40,24,20)s(32,24,20)t(32,40,20)-s(24,40,12)+*
t(24,32,28)c(48,40,12)c(24,40,12)+s(24,16,20)+*
s(24,48,20)s(40,24,28)c(40,48,12)+s(24,40,20)*-
s(16,48,20)t(32,40,20)s(8,16,12)+-c(32,32,20)-
s(40,24,28)c(32,32,28)*c(32,24,20)*s(48,16,20)*
s(24,24,28)t(24,24,12)-s(40,32,28)t(48,24,12)-*
s(16,16,20)s(40,16,20)+t(32,32,28)+s(48,40,20)*
t(24,48,12)t(40,40,20)t(32,24,20)-+s(32,40,20)*
s(24,24,28)s(32,32,28)s(48,40,12)--s(48,24,20)-
s(32,24,20)s(40,24,20)+s(32,40,28)t(40,40,12)-*
s(48,48,12)s(40,16,20)t(16,32,12)++t(16,56,12)+
s(24,24,20)t(32,16,12)t(32,48,12)+c(40,40,20)++
c(32,32,20)t(32,32,12)-s(40,24,28)*t(32,16,12)-
t(32,40,28)c(32,32,20)*c(24,32,20)s(40,40,28)**
s(24,40,28)s(24,32,28)t(32,32,28)**c(16,24,12)-
c(32,32,20)s(24,48,20)s(24,32,20)c(24,40,20)**-
s(16,48,20)s(32,24,20)+s(16,40,20)s(32,32,20)-*
s(32,24,12)t(48,48,12)+s(32,24,28)s(40,24,20)--
s(32,40,28)s(16,40,20)+t(32,32,12)-t(24,40,28)*
s(32,48,20)t(40,32,12)-s(16,32,12)+c(48,40,12)+
t(32,40,28)s(32,32,20)*s(24,32,20)*s(8,48,12)+
s(16,40,20)c(24,24,20)s(16,32,20)-+c(40,40,20)*
s(40,40,28)s(16,48,20)-c(32,32,28)*t(40,40,20)*
t(48,48,12)t(16,16,12)s(24,32,28)c(24,40,20)*++
s(40,16,20)c(24,40,20)s(24,24,28)s(8,24,12)-+*
s(32,16,20)s(40,16,12)-t(40,40,12)+s(16,16,20)*
t(16,56,12)s(32,24,28)c(32,32,12)-+s(32,40,12)+
s(48,24,20)s(40,40,28)t(32,48,28)t(32,56,12)--*
s(32,32,28)s(24,32,28)*t(24,48,28)c(32,32,28)**
s(32,16,20)t(32,40,28)s(48,48,12)s(16,24,20)+--
s(40,16,20)t(16,40,12)+s(40,32,20)-s(32,24,28)*
s(24,24,28)t(40,16,12)-s(32,48,20)+s(16,32,20)-
t(24,32,28)s(24,16,12)-s(24,24,20)s(40,24,12)--
s(32,24,28)c(40,24,20)t(40,32,20)s(16,24,12)+*-
s(16,48,20)c(24,40,20)t(24,40,28)c(40,24,20)-**
c(40,32,20)t(24,40,28)c(24,40,20)*-s(32,32,12)-
s(16,32,20)t(24,32,28)s(16,48,20)t(40,48,20)+--
s(32,40,28)t(24,48,12)s(48,16,12)+-c(40,40,12)-
t(32,40,20)t(16,24,12)s(40,24,12)s(48,40,12)++-
s(24,24,20)s(32,40,20)-t(40,40,12)+c(32,24,20)*
c(40,32,12)s(32,40,28)s(40,48,20)t(24,48,28)+*+
s(40,40,20)c(16,48,12)s(40,40,28)c(24,32,20)*+*
t(24,24,20)s(32,40,20)+s(32,48,20)t(32,32,12)-+
s(40,40,20)s(8,40,12)+s(24,40,20)*s(40,40,20)+
t(48,32,12)s(16,32,20)c(24,32,20)t(24,40,28)*++
s(48,32,20)s(24,16,12)+s(32,24,28)s(16,24,20)-*
t(40,32,20)c(48,32,12)t(24,40,20)++s(32,48,20)*
t(16,56,12)t(32,32,20)+t(24,32,28)c(24,32,20)**
s(16,40,20)s(24,40,12)-c(48,16,12)t(16,32,12)+-
c(16,40,12)s(24,16,20)+t(40,24,20)-s(24,48,12)+
c(32,24,20)c(16,16,12)c(32,16,12)+*s(24,24,20)*
c(40,32,20)s(40,24,12)-s(24,48,20)-s(40,40,12)-
s(40,32,28)t(24,32,28)c(32,40,20)**c(48,16,12)+
s(48,32,20)t(32,32,28)-c(40,24,20)c(48,32,12)-+
c(40,40,12)s(24,16,12)+s(48,24,20)s(8,40,12)++
c(32,16,12)s(24,16,12)+s(40,40,20)+s(32,48,20)-
c(24,40,20)t(48,48,12)s(16,48,20)+s(8,16,12)+*
c(32,40,20)t(48,24,12)c(40,32,12)++c(24,40,20)*
t(40,24,20)s(32,40,28)t(24,40,28)t(48,24,12)+--
s(32,24,28)c(40,40,20)t(32,32,28)c(16,24,12)-+*
s(32,24,20)c(24,32,12)t(40,24,20)c(32,32,20)*+*
s(24,16,12)s(48,40,20)c(40,24,12)-+t(32,48,20)-
s(40,40,12)t(24,32,12)+s(48,32,20)+s(24,32,28)*
s(40,24,20)s(24,40,20)-s(40,8,12)-t(32,56,12)+
t(24,32,28)c(48,24,12)c(24,24,20)c(40,40,12)++*
s(32,24,20)s(40,16,20)*s(48,32,12)-t(40,32,20)+
s(32,40,28)c(40,32,20)*t(32,32,12)t(24,48,28)+*
s(48,24,20)c(32,32,28)s(16,48,20)-s(24,16,12)-*
c(40,40,20)c(32,32,28)s(16,32,20)*+c(24,24,12)-
s(32,48,20)s(24,40,28)s(16,24,12)-s(24,40,20)**
s(40,40,20)s(48,40,12)s(32,48,20)s(24,40,20)*+*
t(24,48,20)c(40,48,12)-t(40,48,20)s(32,32,20)++
c(40,24,20)s(40,40,20)s(48,24,12)+t(40,32,12)--
c(32,24,20)t(24,40,20)s(24,32,12)c(32,40,12)++*
s(48,24,20)c(32,24,20)c(40,40,20)s(16,32,20)-+*
c(16,16,12)c(16,40,12)+s(40,24,12)+s(24,16,20)*
t(16,56,12)t(32,40,28)c(32,32,20)*c(40,24,20)*+
s(32,40,28)t(24,40,28)t(24,24,12)-s(32,48,12)-*
s(40,32,28)t(24,40,20)-s(32,24,20)*s(32,32,20)*
s(48,24,20)c(32,16,12)+s(32,8,12)-c(40,40,20)*
s(40,40,28)s(48,8,12)s(40,32,20)+s(32,16,20)--
t(32,32,20)s(32,32,28)c(24,48,12)c(16,16,12)+*+
s(24,24,28)t(24,40,20)+s(24,48,12)s(40,40,20)+*
s(40,16,20)s(24,40,28)+s(16,40,20)t(16,32,12)-*
s(8,24,12)s(40,24,20)t(32,16,12)-+s(24,32,20)-
c(40,32,20)c(48,40,12)-t(24,32,28)+s(16,32,12)-
t(24,24,20)t(32,48,28)s(24,32,28)*-s(48,24,12)+
s(48,16,20)t(32,40,28)-s(16,32,20)s(32,32,20)++
c(24,16,12)c(24,32,20)t(24,32,28)t(32,32,28)*-+
s(48,48,20)c(32,40,20)c(40,32,12)-t(40,48,12)-+
s(32,48,20)s(16,24,12)c(48,48,12)+c(40,40,20)+*
s(48,32,20)c(32,32,28)*s(40,48,12)s(32,8,12)+-
s(40,24,12)s(32,40,20)+c(32,32,20)*t(40,24,20)-
c(24,32,12)s(48,40,12)s(24,24,12)++t(48,48,12)+
s(24,48,12)s(48,48,12)+s(32,40,28)*c(40,40,20)+
s(24,32,28)s(40,16,20)-c(24,32,20)*s(32,24,28)*
c(48,24,12)s(48,48,20)+t(32,40,28)t(32,32,28)*-
s(40,40,20)t(32,32,28)*s(32,24,28)t(32,40,28)*+
s(24,32,20)s(24,8,12)+s(40,40,28)*t(40,40,12)-
s(32,40,28)s(16,48,20)s(48,40,12)+c(40,32,12)-*
s(24,16,12)c(48,32,12)+t(48,32,12)-c(24,24,20)+
s(16,16,20)t(24,32,20)+s(24,32,20)c(48,48,12)+*
c(48,40,12)t(40,32,12)+s(16,16,12)+c(40,40,20)*
t(24,32,20)c(24,16,12)c(40,24,20)t(32,32,20)-+-
s(32,24,20)s(24,40,20)t(24,48,28)s(32,48,20)**+
t(48,56,12)c(24,32,20)+c(32,24,20)s(32,32,20)*-
s(48,40,20)s(32,32,20)s(24,48,20)s(40,24,28)---
s(24,32,28)s(40,16,20)-s(48,32,20)-s(16,48,12)-
t(24,32,28)s(16,32,20)c(24,24,12)+*s(16,40,12)-
c(24,32,20)s(8,48,12)+s(48,40,20)s(24,32,12)+-
c(32,32,20)c(40,24,20)s(40,32,20)**t(40,48,20)-
s(24,32,28)s(40,24,28)*s(32,24,20)*c(40,32,20)*
s(8,8,12)c(24,24,20)+c(48,16,12)s(24,16,12)+-
s(40,32,28)s(40,16,12)c(48,16,12)+-s(32,24,20)+
t(32,24,12)s(40,40,20)s(48,40,12)-+c(32,32,20)*
s(16,32,12)t(40,48,20)s(24,48,12)-+t(32,48,20)-
s(40,32,20)s(48,16,20)c(24,16,12)+s(24,16,12)-+
t(24,40,12)s(24,32,20)t(16,40,12)-s(40,24,28)*+
s(40,24,28)t(32,32,28)t(32,48,20)+*s(16,40,20)-
s(32,32,28)s(16,48,12)t(16,24,12)+t(48,32,12)+*
s(40,40,20)c(24,32,20)t(48,24,12)c(24,40,20)+**
s(40,24,28)s(24,32,28)*c(48,48,12)s(48,40,12)++
t(24,40,20)s(48,48,20)-t(24,24,20)s(16,8,12)-+
s(40,48,20)s(24,40,28)c(40,40,20)*s(8,16,12)+-
c(32,24,12)s(40,40,12)+s(24,32,28)*s(24,48,20)-
c(40,40,20)s(40,32,28)t(24,24,12)-*s(40,32,12)-
s(40,40,20)c(32,24,20)s(48,16,20)-t(48,16,12)+-
s(40,32,20)c(40,40,20)s(32,48,12)-c(24,16,12)+*
s(40,16,20)s(24,24,20)c(24,32,20)*-s(24,8,12)-
s(40,16,20)c(40,16,12)-c(32,48,12)+s(32,24,28)-
s(8,32,12)c(16,40,12)+s(32,40,12)t(48,40,12)++
s(40,40,20)s(16,40,12)+s(32,24,28)*s(24,16,20)-
t(32,24,20)s(40,16,12)s(32,48,12)t(40,48,12)++-
c(32,32,28)s(24,40,28)*s(32,40,28)s(48,40,12)-*
c(24,24,20)c(32,32,20)t(48,32,12)-*t(24,40,28)*
c(40,24,20)s(40,40,28)*c(24,32,20)s(16,48,20)-*
c(24,40,20)s(32,32,20)t(40,24,12)-s(16,24,12)-*
s(32,24,28)t(40,24,12)t(24,32,28)s(24,40,20)*+*
t(32,56,12)s(40,24,12)+c(32,32,28)*t(48,16,12)+
s(40,40,20)c(24,48,12)-t(24,24,20)+s(24,32,20)*
t(32,48,20)t(32,24,20)s(24,40,12)++t(32,32,28)+
c(40,48,12)s(16,40,20)t(48,56,12)+s(24,32,20)*+
s(24,40,20)t(32,48,28)+s(24,24,28)s(16,24,12)-+
s(24,8,12)s(48,48,20)+s(8,8,12)+c(24,32,20)-
s(24,24,28)s(24,24,20)-s(24,48,12)+c(24,32,20)*
c(32,32,20)c(16,16,12)-t(24,40,20)s(8,40,12)+*
s(24,24,28)s(16,32,20)s(24,32,12)-c(48,48,12)+*
c(24,32,20)c(48,16,12)+s(48,32,20)+t(48,16,12)-
s(32,24,20)s(40,16,20)s(40,16,12)s(48,24,12)+*-
c(40,24,20)t(32,32,20)s(32,24,12)+s(40,40,12)+*
s(8,40,12)s(8,32,12)+c(24,40,20)+t(40,40,20)-
c(48,32,12)s(32,48,20)s(24,32,28)*s(40,32,28)*+
s(24,24,20)t(24,24,12)-t(48,32,12)s(40,32,12)+-
c(32,16,12)t(40,32,20)+s(40,8,12)+s(16,24,20)-
t(32,24,20)t(48,48,12)s(16,24,12)+s(8,32,12)--
s(24,32,20)c(40,32,12)t(24,32,28)s(24,16,20)-+*
s(40,24,28)c(32,32,20)*t(40,32,12)-s(40,40,28)*
s(32,40,20)s(40,24,28)+s(32,40,20)s(40,24,20)--
s(40,16,20)s(40,24,28)c(32,40,20)-s(32,32,12)+*
t(40,48,20)t(32,40,20)s(24,32,20)c(16,48,12)+*-
s(24,48,20)c(40,40,20)*t(24,32,28)+t(32,40,20)-
t(40,56,12)c(24,40,20)t(24,56,12)-+t(24,32,28)*
s(24,32,20)s(16,32,12)s(24,48,20)+s(16,48,20)*+
s(48,48,20)s(32,24,20)t(32,48,28)+s(40,24,20)--
s(32,24,20)s(16,24,20)s(32,40,12)+s(32,40,20)+*
s(24,32,28)t(24,48,20)+s(40,24,28)-t(24,40,28)-
c(48,24,12)c(24,16,12)c(24,32,20)+c(40,24,20)-+
t(32,40,28)s(32,40,12)-s(8,16,12)+s(24,24,28)*
c(24,40,20)s(48,8,12)c(24,40,12)++c(24,32,20)*
t(48,48,12)s(32,16,20)+s(32,24,20)s(16,32,20)-*
c(24,40,20)c(24,32,20)t(40,24,12)-s(40,24,28)**
s(40,48,20)c(40,40,20)s(48,32,20)*-s(16,40,20)-
t(24,40,28)s(40,32,20)c(40,40,20)+t(32,48,20)*-
c(24,32,20)c(40,40,12)-c(24,24,20)t(24,48,28)--
t(16,56,12)s(32,24,20)s(48,24,12)-+c(32,16,12)-
s(32,32,20)t(32,24,20)-s(48,24,20)+t(40,40,12)-
t(16,48,12)c(24,32,20)t(32,24,20)*+s(32,16,12)-
s(32,16,20)t(40,40,20)t(32,24,20)s(40,8,12)--+
s(24,24,20)c(32,24,20)s(24,24,20)*c(40,24,20)*-
s(8,32,12)t(40,48,20)+s(32,32,12)s(24,32,12)+-
s(40,8,12)t(24,40,28)+c(32,32,28)s(16,48,20)-*
c(32,24,20)s(48,40,20)-c(40,16,12)s(24,32,12)++
s(48,24,20)c(32,32,28)c(16,48,12)-*c(40,32,20)*
s(48,24,20)t(24,40,28)c(40,16,12)+s(40,24,28)*-
s(24,40,28)t(24,32,28)c(40,32,20)*-s(24,48,20)*
s(24,32,28)c(24,16,12)c(24,32,12)+*s(24,16,20)*
c(24,32,20)c(32,32,28)s(16,40,20)c(24,24,20)*-*
s(32,40,28)s(32,48,12)t(24,24,20)+t(24,40,28)*-
s(40,16,12)s(24,40,28)c(32,24,12)c(32,40,12)+*+
c(40,24,20)c(16,32,12)c(32,48,12)+s(40,16,12)+*
s(16,32,20)s(24,40,20)s(32,40,20)*-s(24,24,20)+
s(32,40,20)s(24,32,28)c(40,32,20)*s(40,16,20)+*
c(24,32,20)t(40,48,20)-c(32,32,20)s(40,16,20)-*
s(16,48,20)s(24,40,12)-s(40,40,28)t(32,48,28)*-
s(32,24,20)s(16,16,20)t(32,32,28)--s(32,24,12)-
s(24,40,20)s(8,48,12)-s(16,48,12)+s(24,40,12)-
c(32,24,20)s(40,40,28)*t(24,16,12)s(32,24,12)+-
s(16,32,20)s(48,32,20)+t(32,32,20)-c(24,24,20)*
s(48,24,12)t(32,32,28)t(24,40,20)c(16,32,12)+*+
s(40,24,28)s(24,40,28)*c(24,40,20)t(32,40,12)-+
c(16,48,12)s(32,8,12)s(24,40,20)t(24,32,12)-++
s(40,48,20)t(24,40,20)-c(40,48,12)+s(24,32,20)+
s(24,24,20)c(40,24,12)-c(24,40,12)+c(24,24,20)*
c(24,40,20)t(32,40,20)-s(8,40,12)s(24,40,20)++
c(24,32,20)s(40,32,28)*c(16,40,12)-s(24,24,20)*
s(24,32,28)t(16,24,12)-s(24,32,20)c(16,40,12)-*
s(32,24,28)s(32,40,20)*s(40,32,20)*t(32,32,20)+
s(40,40,20)s(40,32,28)t(24,24,12)-*t(32,40,20)+
s(32,40,20)t(40,32,20)s(32,16,12)-s(32,24,20)+*
t(32,32,12)s(32,24,20)s(16,24,12)-c(24,40,20)-+
s(24,16,20)s(40,24,20)s(32,32,20)*+c(24,40,20)+
s(24,24,28)s(48,16,20)c(40,32,20)t(40,32,20)-+*
s(40,32,28)c(32,24,20)+s(24,16,20)-s(32,32,20)-
t(32,48,28)s(24,24,20)t(24,24,20)t(32,40,20)++*
s(32,24,28)c(40,24,20)t(16,56,12)c(40,16,12)+--
c(32,32,28)s(32,16,20)c(32,32,12)+*t(32,48,12)+
s(32,24,28)s(32,24,12)-c(40,40,20)c(48,24,12)++
c(24,32,20)s(24,40,20)s(40,40,28)c(32,40,20)***
s(24,40,28)t(24,56,12)s(32,48,12)+-s(32,48,20)+
s(40,32,20)c(32,24,20)*s(24,32,20)s(8,32,12)-+
t(32,40,28)t(32,32,12)t(40,48,20)++s(24,24,28)*
c(32,40,20)s(40,32,28)+s(32,32,28)*s(32,48,20)+
s(48,48,12)c(32,40,20)t(32,48,20)-+c(32,40,20)+
c(32,24,20)t(32,16,12)-s(16,32,20)-s(32,24,12)+
s(16,40,20)t(40,40,20)+c(48,40,12)-t(32,24,20)-
s(40,32,28)s(48,40,20)s(48,24,12)+c(40,32,12)-*
t(32,32,28)t(24,40,12)-s(32,16,20)c(32,48,12)+*
s(16,24,20)s(40,8,12)t(16,24,12)t(48,56,12)++-
t(16,32,12)s(32,40,12)s(48,16,20)s(40,24,28)*++
s(24,40,20)c(32,32,20)s(24,24,28)**s(40,48,20)+
s(32,48,20)s(32,32,28)c(40,24,12)-c(40,40,20)*-
s(48,16,20)t(40,24,20)s(32,32,28)s(40,32,28)**-
c(24,32,20)s(40,16,12)s(24,40,28)+c(24,24,20)**
s(48,8,12)s(32,16,20)+s(32,16,20)s(32,40,28)--
c(40,32,20)t(32,32,28)*t(40,32,20)s(16,16,12)+*
c(48,24,12)t(24,48,12)+c(24,32,20)+t(32,24,20)-
t(32,32,28)s(32,48,12)-t(32,40,28)s(40,32,28)**
s(16,48,12)t(40,24,20)+s(24,40,28)s(32,48,20)*+
c(24,24,12)s(24,40,20)s(40,32,20)-+t(24,32,12)-
s(48,48,20)c(32,40,20)*c(16,40,12)t(40,40,20)++
c(24,24,20)c(24,32,20)*t(32,32,28)*t(24,40,12)-
s(24,32,20)t(32,32,28)*s(32,48,12)-s(16,48,12)-
s(48,32,20)t(48,40,12)-s(40,32,28)*c(48,24,12)+
c(24,40,20)c(48,24,12)+t(40,40,12)-c(40,24,20)*
s(24,32,20)c(48,48,12)+t(40,40,20)-t(24,32,20)*
t(24,48,20)s(48,16,20)c(40,24,20)s(24,32,28)-*+
c(48,16,12)s(16,48,20)+s(48,32,20)-t(16,48,12)-
t(24,40,28)t(32,40,28)s(32,24,20)c(48,16,12)--*
s(16,24,20)s(40,40,28)s(48,32,20)++s(32,16,20)-
t(32,32,28)c(32,40,12)t(24,48,28)+s(16,48,20)+*
c(24,40,12)s(40,16,20)+t(40,40,20)t(40,48,12)--
c(40,24,20)s(32,16,12)t(24,56,12)+-s(16,48,20)+
c(40,40,20)c(40,24,20)*s(24,40,12)+s(32,24,20)*
s(40,24,28)c(16,16,12)s(48,32,12)+s(32,24,28)++
c(24,24,20)c(48,24,12)t(32,40,20)+s(24,48,12)--
s(16,32,20)s(40,24,20)s(48,40,20)s(40,32,28)*+-
c(40,24,12)t(40,56,12)+s(48,40,12)+c(40,40,20)*
c(32,40,20)s(32,32,28)s(40,40,28)*c(24,32,20)*-
s(40,24,28)s(48,16,12)t(32,40,12)+s(40,48,20)+*
s(40,24,28)c(24,24,20)s(40,24,20)t(16,24,12)+*-
c(24,24,20)c(40,16,12)t(32,32,28)s(16,48,20)-+*
s(24,40,20)c(24,40,12)-t(24,40,20)+s(40,48,12)-
c(24,40,20)s(32,32,20)*s(40,40,12)-s(32,48,12)+
c(24,32,20)t(32,32,28)s(16,16,12)t(24,32,28)+*-
c(40,24,20)s(16,24,20)s(16,16,12)-s(8,24,12)++
s(40,16,20)s(40,40,20)-s(32,32,20)-c(40,24,12)+
s(48,16,20)s(40,24,28)s(32,48,20)-*s(48,48,20)+
s(48,40,20)c(40,32,20)*t(24,24,12)+c(16,32,12)+
c(40,32,12)s(16,24,12)+s(40,24,28)s(40,32,28)*+
t(24,48,28)t(40,48,12)s(24,16,20)++s(24,8,12)-
s(24,40,12)s(24,16,20)s(24,24,20)+c(40,24,12)-+
t(40,24,20)c(32,24,20)t(24,40,28)s(32,32,28)**-
s(40,24,28)s(24,32,20)s(8,32,12)-s(32,24,28)**
c(32,32,12)s(8,16,12)+t(24,32,12)-c(40,24,20)+
t(24,48,20)c(24,24,20)t(24,32,28)t(40,40,20)-*-
c(24,32,20)c(40,40,12)-s(32,32,12)c(24,40,12)+*
t(40,32,20)c(32,24,20)*s(48,16,20)s(48,24,20)*+
s(32,24,20)s(40,32,20)s(24,40,28)*+t(40,48,20)-
t(32,56,12)c(24,24,12)s(16,8,12)+s(40,32,12)++
s(48,16,12)t(32,40,28)c(24,24,20)++s(24,40,12)-
t(40,24,12)c(24,16,12)+s(48,16,20)s(32,32,20)+*
c(24,32,20)t(48,24,12)t(32,32,20)+-s(32,48,20)+
t(16,24,12)s(32,24,20)+s(24,24,28)t(32,40,28)**
s(40,16,20)s(40,32,28)s(40,48,20)-c(32,32,12)--
t(32,48,28)c(32,48,12)c(32,32,20)s(32,16,12)-+*
s(40,32,28)c(32,24,20)t(40,32,20)-s(24,24,20)*-
t(24,32,20)t(16,32,12)+s(32,40,28)*c(24,16,12)-
t(24,48,28)t(24,32,12)-c(32,24,12)t(40,56,12)++
s(8,40,12)t(24,48,12)+s(48,40,12)+t(32,40,28)*
c(40,24,20)t(24,32,28)c(40,40,12)--s(48,32,20)+
s(48,24,12)t(40,32,20)+s(48,40,12)-s(32,32,28)*
s(40,48,20)c(48,40,12)t(24,48,20)t(32,16,12)++*
c(40,32,20)c(24,40,12)c(40,32,12)+*s(32,40,20)*
s(24,24,28)s(24,16,12)-c(16,16,12)t(24,40,28)+-
s(24,32,20)t(32,40,28)*s(48,16,20)c(48,48,12)+-
s(24,24,28)c(40,32,20)s(40,40,28)+*c(24,48,12)+
c(24,40,20)c(32,32,20)t(32,48,28)c(48,24,12)+**
s(16,16,20)t(32,48,28)+t(40,16,12)s(32,32,12)+-
s(40,40,28)t(24,48,28)-t(48,40,12)s(32,32,20)+*
c(40,16,12)t(40,24,20)+c(40,32,20)+s(48,48,20)*
c(32,16,12)c(24,32,20)s(40,48,20)+s(32,24,20)*+
s(40,48,12)s(32,32,28)s(40,48,20)s(40,16,12)+*+
c(48,24,12)s(24,32,12)+c(40,16,12)c(24,32,20)+*
c(32,40,20)s(40,24,28)t(48,24,12)-+c(48,24,12)-
c(32,40,12)s(16,8,12)+s(48,16,20)+c(40,24,20)*
s(24,32,28)s(24,16,20)s(32,32,12)s(24,40,12)++*
s(48,40,20)c(40,24,12)c(32,32,28)s(40,40,28)-+-
s(24,16,20)s(16,32,12)-s(32,40,28)+s(48,8,12)+
c(40,24,20)t(32,40,28)s(32,8,12)+s(40,24,12)+*
t(32,32,28)s(32,16,20)s(40,40,12)+s(24,40,28)**
s(40,40,28)s(24,16,20)s(32,24,20)s(40,40,12)-++
c(24,24,12)t(40,48,20)+s(40,40,28)s(32,48,20)**
t(24,32,28)s(32,24,28)s(32,32,12)-*s(8,40,12)-
c(32,32,28)c(48,24,12)c(40,48,12)+s(24,24,28)--
t(32,40,28)s(16,16,20)s(40,24,20)+s(24,16,12)--
c(16,32,12)t(24,40,20)+s(32,16,20)+s(24,24,20)*
c(40,40,12)s(32,48,20)s(40,32,12)-+s(48,40,12)+
s(16,40,20)t(40,24,12)c(24,40,20)t(32,32,28)*+-
t(24,24,20)s(24,32,28)s(32,24,28)*t(40,24,20)-+
s(24,48,20)c(24,32,20)s(24,40,28)s(40,40,20)*-+
s(24,24,28)t(24,48,12)s(8,24,12)++s(24,48,20)*
c(24,40,20)s(24,16,12)s(40,32,12)+-t(32,32,28)*
t(48,48,12)s(40,16,12)s(8,16,12)++s(16,32,12)+
s(24,24,20)c(32,32,20)c(24,24,20)t(32,24,12)---
c(32,32,20)t(32,32,28)t(40,32,12)-*c(24,24,12)-
t(32,32,28)t(24,48,12)+s(16,32,20)*t(32,48,20)+
c(32,24,20)s(16,32,20)c(48,32,12)+*c(40,24,20)*
c(40,48,12)c(24,32,20)c(24,24,20)*+s(40,32,20)*
t(16,24,12)t(32,24,12)t(16,48,12)s(24,40,12)+++
s(32,32,28)s(24,24,28)*s(32,40,28)*s(24,24,12)-
c(32,40,12)s(40,48,20)s(48,40,12)-+t(48,16,12)+
c(40,48,12)c(16,32,12)+s(16,32,20)c(24,24,20)*-
s(40,40,12)t(32,40,20)+s(32,40,28)s(48,24,20)-*
s(24,48,20)s(24,32,20)c(16,16,12)--c(16,16,12)+
t(24,48,28)c(24,40,12)t(16,24,12)+*c(16,32,12)+
s(40,32,28)s(24,32,28)s(16,24,12)-s(24,40,20)*-
t(32,32,28)c(32,40,20)+s(24,40,20)s(24,48,12)-*
s(40,32,20)c(32,32,20)*c(24,24,20)*s(16,40,20)+
s(48,48,20)c(40,24,20)c(40,32,20)*s(16,40,20)--
s(24,40,28)s(24,32,28)*s(24,24,12)s(16,32,12)+*
t(24,40,12)s(40,24,20)s(32,16,12)-+t(32,48,28)-
s(40,48,20)s(32,40,20)t(32,32,20)*t(24,48,12)+-
c(40,32,20)t(32,32,28)*c(32,24,12)-s(8,16,12)+
c(32,32,20)t(24,48,28)+c(32,40,12)-t(24,40,28)*
c(24,32,20)t(40,48,20)-c(32,40,20)-s(16,48,20)+
c(40,40,20)s(8,32,12)t(48,40,12)+c(16,24,12)+-
c(40,24,20)s(24,24,20)*s(48,40,20)s(16,32,12)++
s(40,24,20)s(32,32,20)s(24,32,28)s(32,24,20)***
s(24,8,12)s(24,24,20)+s(40,32,28)t(32,32,12)--
t(24,40,28)s(16,16,20)s(16,16,12)--s(32,32,20)*
c(32,40,12)s(32,40,20)t(32,40,28)t(32,48,20)*-+
c(32,40,20)t(24,48,28)-c(24,24,12)t(16,16,12)++
c(24,32,20)s(32,32,20)s(48,40,20)+*t(32,24,20)*
t(32,40,28)s(24,40,20)t(24,48,20)*c(24,24,12)+-
s(32,40,12)c(24,32,12)+c(48,32,12)s(24,48,12)++
t(32,32,20)s(40,32,20)+s(24,48,12)c(24,24,20)+-
c(16,24,12)c(32,32,20)t(24,48,20)-+s(32,24,20)-
s(32,24,20)t(40,40,20)c(24,40,12)--s(32,32,28)*
t(32,40,28)s(16,40,20)*c(40,24,20)+s(16,48,20)-
c(32,24,20)t(32,32,20)-s(24,24,28)c(32,32,20)*-
c(40,24,12)s(16,48,20)s(24,48,20)+t(32,24,12)++
s(40,32,12)s(16,40,12)t(32,32,20)++t(32,48,28)+
c(40,32,20)s(48,48,20)s(40,48,20)s(48,8,12)+*-
c(40,32,20)s(40,24,20)c(24,16,12)+s(16,16,12)-*
c(32,32,28)c(24,24,20)s(32,24,28)*-s(24,40,28)*
c(40,24,20)s(32,32,20)c(48,32,12)+*c(40,48,12)-
c(24,16,12)s(32,40,28)t(40,24,12)-s(40,32,20)-+
c(32,24,20)c(32,40,20)c(24,32,20)*+c(24,40,20)*
s(32,48,20)c(24,40,20)s(24,24,20)*-s(32,16,20)+
s(48,16,12)c(24,32,20)c(40,40,20)*+s(24,40,28)+
s(32,40,28)s(16,24,20)-s(40,32,28)s(24,24,28)-*
s(16,40,20)t(24,48,20)c(24,16,12)++t(16,40,12)-
c(32,24,20)c(32,32,28)s(24,48,20)-*t(24,32,28)+
s(32,24,20)t(40,16,12)-t(16,16,12)-c(32,32,20)*
c(40,32,20)c(40,32,20)t(40,48,20)-s(24,40,12)--
c(32,32,28)t(32,24,20)s(16,24,12)+s(48,48,20)+*
s(40,16,20)c(24,24,20)-c(40,40,20)c(32,40,20)*+
s(40,32,28)t(24,24,12)-s(32,32,20)*t(32,32,20)*
t(40,32,20)s(48,32,20)*s(8,24,12)+s(40,32,20)*
s(16,16,20)c(24,24,20)+s(24,32,28)s(48,24,20)-+
s(40,16,20)s(40,40,28)s(48,32,20)-+s(40,24,20)*
c(40,32,20)c(32,24,20)-s(16,16,20)c(40,32,20)-+
s(40,40,28)s(48,24,20)s(40,40,12)+s(40,8,12)-*
s(8,40,12)t(32,32,28)+s(40,40,28)s(24,40,20)**
c(32,40,20)c(16,24,12)-s(32,24,28)s(32,40,20)--
s(16,40,12)c(32,32,12)+s(16,40,20)c(40,40,12)+*
c(16,32,12)s(40,24,20)+s(48,40,20)-c(40,24,20)*
c(32,32,28)c(40,16,12)t(16,32,12)+-s(24,24,20)-
s(32,24,20)s(32,32,20)c(48,32,12)-s(40,40,12)-*
c(32,32,28)c(40,24,20)s(40,40,28)s(32,32,28)*-*
c(24,24,20)c(32,24,20)c(24,32,20)*c(32,48,12)--
s(32,32,28)c(40,48,12)-s(40,40,28)-s(40,32,20)+
s(32,40,28)s(40,24,28)+s(48,16,12)-s(40,32,20)-
s(32,48,12)t(24,48,28)s(24,32,20)-+c(32,48,12)-
s(40,40,20)c(32,32,20)c(16,48,12)-t(32,40,12)-*
s(32,40,28)t(16,40,12)-t(24,40,28)s(16,40,20)*-
s(40,32,28)t(24,24,12)-s(16,40,20)-s(32,40,28)*
s(32,24,28)s(24,40,28)+s(48,24,20)*t(40,24,20)*
s(32,40,20)t(24,48,28)s(24,40,20)+s(32,24,28)*-
s(24,24,12)s(24,48,20)+s(32,40,28)*s(24,24,12)-
t(32,48,20)s(32,24,20)+s(48,24,20)*c(48,32,12)+
c(32,32,20)s(32,32,20)c(40,32,20)t(32,32,28)-+*
s(16,48,12)s(48,32,12)+c(48,16,12)c(32,48,12)+-
t(32,48,28)c(48,16,12)c(40,32,20)+-s(24,48,20)*
s(40,24,20)s(40,32,12)-c(40,32,20)s(40,32,12)-*
c(24,32,20)t(24,40,12)-s(24,16,20)*s(40,32,12)+
s(40,32,28)s(24,48,12)-s(24,40,28)-s(8,24,12)+
s(32,16,20)c(32,24,20)*c(48,24,12)s(24,8,12)+-
s(48,24,20)s(24,32,28)t(32,40,28)*+s(24,24,20)-
c(16,40,12)c(32,40,20)s(32,32,28)*s(32,32,12)-+
c(32,48,12)c(24,48,12)+s(40,16,20)c(32,40,20)-+
c(40,16,12)c(24,32,20)s(32,48,20)*+s(16,24,20)-
s(8,8,12)c(32,32,12)+t(32,40,28)+s(32,40,12)-
s(24,40,20)s(48,32,20)-s(32,24,20)s(24,32,28)+*
s(32,40,20)c(16,48,12)+t(40,48,12)c(40,24,20)+-
t(24,40,20)s(24,32,28)c(32,32,20)*s(24,40,20)-+
s(32,24,28)c(24,24,20)+s(16,32,20)+s(16,48,20)*
c(24,40,20)t(24,48,20)c(24,32,12)-s(24,24,20)+*
s(48,40,12)s(40,16,20)s(24,24,12)c(48,16,12)+*+
s(24,32,28)t(24,48,28)c(32,32,20)s(24,40,28)**-
s(40,40,20)t(40,40,20)t(40,24,12)-t(24,24,12)+*
c(48,32,12)s(40,40,20)s(40,32,20)*s(24,16,20)-+
c(24,24,20)c(32,40,20)s(32,24,20)+*t(24,24,20)*
s(32,32,28)s(40,24,28)s(24,16,20)-*t(24,40,20)-
s(40,40,28)c(16,32,12)+s(40,32,20)-s(40,32,28)*
s(32,32,28)s(24,32,20)t(24,24,12)-t(40,24,20)-*
s(40,40,20)c(40,40,12)t(24,24,12)+*s(40,16,20)-
s(40,40,28)s(24,16,20)-t(40,24,12)t(40,32,12)+-
s(32,24,20)t(24,48,20)+t(24,32,28)c(32,40,20)**
c(40,24,20)t(48,40,12)-t(40,24,20)c(24,16,12)--
s(32,24,20)t(32,32,28)*c(32,40,20)t(32,32,28)**
t(24,24,20)s(32,48,20)+c(24,32,20)*s(32,40,28)*
s(32,24,28)s(24,32,28)t(40,40,12)-t(24,24,12)-*
t(32,24,12)t(40,32,20)s(32,48,20)+s(24,40,20)*+
c(24,32,12)s(40,24,20)s(40,40,12)s(24,16,20)+-+
s(48,40,20)c(32,24,12)+c(32,32,20)s(24,40,20)--
t(24,24,12)s(32,40,28)t(24,32,28)-+s(16,24,12)+
s(32,24,20)t(40,24,20)s(32,16,12)-+s(24,32,20)*
t(24,16,12)c(40,40,20)s(32,24,12)-+t(40,40,12)-
s(32,24,28)s(48,16,20)s(40,24,28)s(24,24,28)*--
c(48,32,12)c(24,40,20)c(24,24,20)s(40,48,20)-++
s(40,24,28)s(24,32,28)t(24,24,20)c(32,32,20)*-+
s(48,40,20)c(40,16,12)+s(32,24,28)*t(24,40,28)-
c(24,48,12)t(32,24,20)+t(16,56,12)+t(32,24,12)-
c(40,48,12)s(16,32,20)+t(48,48,12)c(32,32,20)+*
s(32,32,28)s(32,16,20)s(40,24,12)-s(16,32,12)+*
s(8,24,12)s(40,24,20)+c(16,40,12)+s(40,40,28)-
c(24,32,20)s(16,40,20)c(24,24,20)+s(16,48,20)**
s(24,40,12)c(40,48,12)+t(40,40,20)c(16,32,12)++
c(40,24,20)s(40,40,28)s(24,40,12)c(48,32,12)+--
s(32,32,20)t(24,16,12)-c(32,40,20)c(48,40,12)-*
t(16,32,12)t(40,32,20)+s(24,24,28)s(40,48,20)-*
s(16,48,20)t(32,32,28)t(24,40,12)-s(40,40,20)+-
t(24,48,20)s(40,32,20)s(48,40,12)-s(32,48,20)+*
t(40,32,20)c(48,24,12)t(48,40,12)c(16,48,12)+++
c(40,32,20)t(40,24,20)t(24,16,12)+*s(48,24,20)*
c(40,24,20)s(48,8,12)-s(24,48,20)+s(32,40,12)-
t(48,16,12)c(32,32,20)c(40,24,12)-+c(32,24,20)+
c(32,32,28)s(16,40,20)*t(32,40,28)s(40,32,20)+*
c(32,32,20)c(40,40,20)s(32,32,12)-*s(32,32,20)+
s(24,40,28)s(24,24,28)t(32,24,12)-c(32,24,12)-*
s(24,24,28)s(32,24,20)s(40,24,20)**c(40,48,12)+
s(40,48,20)c(40,32,20)+c(32,40,12)-c(40,32,20)*
t(24,32,28)t(48,56,12)c(16,40,12)+-s(40,24,12)-
s(32,48,20)s(32,32,28)c(24,24,12)s(24,40,20)+*-
t(16,40,12)s(48,48,20)+s(16,40,12)-c(48,40,12)-
c(24,40,20)s(16,24,12)t(48,56,12)+-t(24,48,20)*
s(24,24,20)s(24,24,20)t(24,32,28)*s(40,24,28)+*
t(24,40,20)s(24,32,20)s(24,40,20)**s(48,16,12)+
s(48,40,12)t(16,16,12)t(24,32,28)+c(32,24,20)*+
s(16,16,20)s(32,16,20)c(32,32,20)s(40,32,28)*--
c(16,40,12)c(24,40,20)t(24,40,28)+s(40,48,20)*+
s(24,32,20)t(16,32,12)-t(32,40,28)c(32,40,20)**
s(40,32,20)c(32,32,20)*t(32,32,28)*t(32,40,28)*
c(16,48,12)c(24,32,12)+s(40,40,28)+c(32,32,20)*
s(24,16,20)s(24,40,20)c(24,32,12)c(40,32,20)+*-
s(32,24,28)s(48,48,20)c(40,24,20)s(40,32,28)+*+
c(40,24,20)c(32,32,20)*s(40,48,20)t(24,56,12)++
s(24,32,28)c(24,16,12)t(24,40,28)+t(40,40,20)-*
c(40,24,20)c(24,24,12)-s(48,24,20)*t(40,56,12)+
s(32,40,28)t(32,40,12)s(24,16,20)++s(48,24,20)*
s(32,16,20)t(24,24,12)c(24,32,12)+-t(24,24,20)-
s(40,24,28)t(16,16,12)+s(40,40,28)-s(32,32,20)-
s(32,40,20)s(40,32,20)s(32,24,28)c(40,40,20)--*
c(32,32,20)t(24,32,12)-s(32,40,28)*c(40,32,20)*
s(48,40,20)t(32,48,12)-s(8,32,12)t(40,48,20)+-
t(32,32,12)s(24,16,12)t(48,48,12)c(32,48,12)+++
s(24,48,20)s(16,32,20)c(32,24,20)s(40,24,12)-*-
s(24,32,28)s(48,40,12)+s(16,40,20)*c(16,48,12)-
c(32,24,20)c(40,24,20)t(16,48,12)s(24,16,12)++*
s(40,16,20)c(32,24,20)t(24,32,28)s(16,40,20)*-*
s(32,48,20)t(32,40,28)*s(16,32,12)+s(40,32,12)-
s(32,24,20)t(32,40,28)s(32,32,28)t(16,40,12)-**
s(32,8,12)c(24,40,20)c(16,16,12)s(24,48,12)+-+
t(24,48,28)c(32,40,12)-s(40,32,28)s(32,16,20)*+
s(48,48,20)s(40,24,20)s(32,32,28)*s(32,40,28)*-
s(40,40,20)t(32,16,12)+s(16,48,20)+t(24,32,28)*
t(32,40,28)t(24,48,20)s(40,32,28)+s(16,48,20)*-
c(40,32,20)s(40,48,20)s(32,24,20)s(32,16,20)*+*
s(40,32,28)s(24,40,12)-s(32,32,28)*c(32,40,20)*
s(32,24,28)t(24,24,12)s(8,8,12)++s(24,40,20)*
c(40,40,20)s(24,32,20)s(40,32,12)+*c(24,32,20)*
s(24,48,20)s(24,40,12)t(24,24,20)+s(24,40,20)*+
s(32,32,28)s(48,8,12)t(32,32,28)+s(8,32,12)+-
c(24,40,20)s(24,16,20)+s(40,24,20)t(40,32,20)*-
c(24,32,20)c(40,40,20)*s(24,32,28)t(32,48,28)**
t(32,32,28)s(40,16,12)s(48,16,12)++s(48,24,12)-
t(24,48,28)c(48,24,12)s(48,40,20)t(32,32,12)++-
s(16,48,12)c(16,24,12)+c(24,32,20)*t(32,56,12)+
c(24,32,20)c(16,24,12)t(32,40,12)+-t(48,16,12)+
s(32,48,20)t(24,24,20)+t(16,40,12)s(48,48,20)+-
c(32,40,20)t(24,24,20)t(40,24,12)+s(40,32,28)*-
s(24,40,28)s(24,40,12)-s(16,32,20)-t(32,24,20)-
s(32,32,20)t(24,32,28)*t(40,24,20)+c(40,16,12)-
s(40,32,28)s(40,40,28)*s(16,48,20)+s(16,40,20)-
t(24,24,12)s(32,24,28)s(24,40,20)*c(48,40,12)++
c(40,32,20)s(24,48,20)t(40,48,12)t(24,40,20)+*+
s(40,32,20)c(40,24,12)-t(24,48,12)s(16,16,12)++
c(40,24,20)t(24,32,20)-s(40,32,12)-s(48,8,12)-
s(32,40,28)s(16,24,12)-c(32,24,20)s(48,48,20)--
s(40,16,20)t(32,24,20)-c(40,32,12)+t(40,32,20)+
s(16,32,20)c(24,16,12)-s(48,48,20)s(32,48,20)+-
c(24,40,20)s(32,16,12)s(16,32,20)+t(40,24,20)+-
s(40,24,28)t(32,40,20)+t(32,32,28)*s(24,40,12)+
s(48,32,12)s(32,32,20)c(32,40,20)s(40,32,12)-*+
c(40,24,20)c(24,24,20)t(40,16,12)--c(48,48,12)-
c(16,24,12)s(40,48,20)t(48,48,12)s(32,24,28)+*+
t(24,48,12)c(32,32,12)+t(16,24,12)+s(16,24,12)-
s(40,16,20)c(40,32,20)t(32,32,28)--c(40,32,20)-
c(32,40,20)t(40,40,20)c(40,16,12)+*t(48,40,12)-
s(40,40,28)t(16,48,12)s(48,24,20)c(40,24,20)*+-
c(24,40,20)t(24,24,20)s(40,32,28)c(40,40,20)*++
c(32,40,20)s(16,8,12)t(40,32,20)+s(48,16,20)-+
t(32,40,28)c(24,40,12)s(32,40,12)+-t(24,48,12)-
s(40,24,28)t(32,32,28)+c(32,32,20)s(32,32,12)--
t(48,40,12)t(24,24,20)s(24,40,12)-t(16,16,12)-+
c(32,32,28)s(48,48,12)-c(32,40,20)*c(24,40,20)*
s(32,32,20)c(40,48,12)+s(32,24,28)s(48,32,20)*+
s(40,24,28)c(32,24,12)-t(24,48,28)s(48,32,12)+*
s(32,40,28)t(32,24,20)*t(40,48,20)+s(32,32,28)*
s(32,8,12)s(32,32,28)+s(32,40,28)s(24,24,20)+*
c(40,16,12)s(40,8,12)c(16,40,12)+s(48,16,12)++
c(40,40,20)s(32,16,20)s(40,24,28)*s(32,48,20)+*
t(24,40,28)c(16,48,12)-s(24,48,20)t(40,56,12)++
t(40,48,20)s(40,32,12)-c(40,40,20)s(40,24,28)*+
s(32,48,20)s(32,32,28)*s(40,40,28)s(24,40,28)**
s(40,48,20)t(48,56,12)-c(48,16,12)+s(40,40,20)*
s(8,32,12)s(24,32,12)+c(32,48,12)c(24,24,20)+*
t(32,48,12)t(40,40,20)+s(32,40,28)t(24,48,20)-*
s(32,32,20)s(32,40,28)c(32,32,28)s(32,40,20)-*+
c(24,40,12)t(40,32,20)t(24,24,12)++s(40,40,20)*
s(16,16,20)c(32,32,28)s(16,32,20)*s(40,48,20)-+
c(48,24,12)s(40,16,20)+t(24,48,28)+t(16,56,12)-
s(24,40,28)s(40,48,20)t(32,24,12)+t(24,24,20)+*
s(40,16,12)s(40,40,28)t(32,32,12)-s(32,48,20)*+
c(40,24,20)s(24,40,20)-c(16,24,12)t(40,32,20)+-
s(40,40,12)s(40,40,28)s(24,32,20)*+s(24,16,20)-
c(24,24,20)t(40,32,20)t(24,40,20)-c(24,40,12)+*
s(24,32,28)s(8,32,12)-t(32,32,28)*s(24,40,20)*
s(32,24,20)s(32,32,12)t(40,16,12)c(40,24,12)++*
s(48,24,20)t(32,40,20)+t(32,24,20)s(24,40,20)+-
c(24,24,20)t(32,24,20)s(16,40,20)+s(32,24,12)-*
t(40,32,20)t(16,16,12)t(32,32,28)c(40,32,20)*+*
s(16,24,20)c(24,40,20)t(48,48,12)+t(32,40,28)--
t(32,48,28)c(40,40,20)s(32,32,20)*s(32,40,20)*-
c(40,16,12)s(32,40,20)+s(40,24,12)-s(40,32,28)*
t(48,48,12)s(48,40,12)t(32,32,20)++t(32,40,28)*
t(32,40,28)t(24,32,28)t(40,48,12)++c(40,40,20)*
s(40,40,28)t(24,40,20)-s(32,32,28)t(40,24,20)*+
t(48,48,12)c(32,40,12)t(24,48,20)+t(24,40,20)*+
s(48,24,12)c(32,40,20)+t(32,48,28)-c(32,24,12)-
s(16,40,20)s(16,16,12)+c(24,40,20)c(32,24,20)+*
c(40,40,12)c(24,48,12)+s(40,48,20)s(32,32,20)+*
s(40,24,20)c(32,40,12)+s(24,16,20)+c(40,32,20)*
s(40,24,28)s(48,32,12)s(24,40,28)+c(48,40,12)-+
t(24,56,12)s(32,24,28)s(16,16,20)-+c(24,32,20)*
t(24,32,20)s(48,40,20)s(48,40,12)c(40,24,20)+*+
s(32,40,20)t(32,48,12)-t(24,32,28)s(16,24,12)-*
s(8,32,12)s(48,16,12)+c(32,32,28)c(40,40,12)-*
t(32,40,20)t(32,24,20)t(32,32,20)s(48,16,20)+*-
t(24,40,28)c(24,40,20)t(48,40,12)+c(24,48,12)-*
s(24,16,20)c(32,32,28)*t(40,24,20)s(32,8,12)--
c(32,16,12)s(32,40,20)+s(24,32,20)c(32,16,12)-*
s(24,48,20)c(32,40,20)s(40,24,28)t(24,40,28)*-*
s(32,48,20)s(40,48,20)*s(32,40,20)s(32,24,20)+*
c(40,40,12)t(24,48,20)t(24,32,28)+s(24,48,20)*+
c(40,24,20)s(48,32,12)-c(24,40,20)+s(32,40,28)*
s(32,48,20)c(48,48,12)-s(32,24,12)+s(16,48,12)-
s(8,32,12)s(40,40,20)s(40,16,12)++c(16,24,12)+
t(32,32,28)c(40,24,20)c(48,48,12)+s(48,32,20)*-
s(24,32,20)t(16,56,12)c(24,40,20)s(32,32,28)*+*
t(24,48,28)s(24,24,12)+c(32,24,12)-s(32,24,20)-
s(32,24,28)s(16,16,20)s(32,8,12)-c(40,40,20)+*
c(24,24,20)s(16,24,20)c(24,24,20)s(24,24,12)-*-
s(24,16,20)s(40,40,28)c(24,24,20)c(40,32,12)-+*
s(24,32,28)s(48,48,12)+c(40,48,12)s(24,48,12)+-
s(48,40,12)c(24,40,20)+s(24,16,20)t(32,40,20)+*
s(8,32,12)t(32,24,20)t(24,16,12)-+c(40,24,20)*
s(16,16,20)s(24,16,20)t(32,32,20)-s(8,24,12)-*
s(24,32,28)t(32,48,28)c(40,32,20)*-t(16,48,12)-
s(32,24,28)s(16,16,20)-c(48,16,12)-t(24,24,20)-
t(32,48,12)c(24,16,12)+s(16,24,20)+c(24,40,20)*
c(40,40,20)c(48,48,12)s(40,40,20)+c(48,40,12)--
s(40,40,28)t(32,40,28)s(24,24,28)c(40,24,12)---
t(32,40,28)s(40,40,28)c(24,40,20)*s(40,32,12)-*
s(24,48,20)c(40,48,12)+s(40,32,28)t(24,40,20)+*
s(24,40,28)s(32,48,20)s(40,40,20)+*c(24,48,12)-
t(48,24,12)t(32,16,12)t(32,48,28)+t(24,32,28)-+
c(24,32,20)t(24,48,20)t(32,24,20)s(24,8,12)-+*
c(24,24,20)s(24,32,20)s(16,24,12)-*s(8,32,12)+
t(24,40,28)s(24,32,28)s(32,40,28)**s(24,24,12)-
s(32,24,20)c(24,24,20)*c(40,32,20)*c(16,48,12)+
s(32,48,20)s(24,24,28)+s(32,24,28)s(16,16,20)*-
t(32,40,28)t(32,32,12)-s(40,40,12)t(24,40,12)++
s(32,24,20)s(16,24,12)-s(40,32,20)c(24,40,20)*-
t(32,32,28)s(32,40,28)*s(24,24,28)*c(40,40,12)-
s(32,32,20)c(48,32,12)s(24,40,20)+t(32,32,28)**
s(24,24,20)c(24,24,20)s(16,16,20)s(32,24,28)*-*
t(48,24,12)t(24,40,28)c(24,40,20)*+s(40,40,20)*
s(32,40,20)t(24,24,20)c(16,32,12)+s(32,40,28)*-
c(32,24,20)t(32,32,28)s(40,24,28)**c(16,16,12)+
s(32,40,28)t(32,32,12)t(16,48,12)+-c(24,24,20)*
c(40,24,20)c(32,24,20)+s(40,24,28)*c(24,40,20)*
s(32,32,20)c(32,32,20)c(48,16,12)-s(16,32,20)-+
c(32,40,20)c(24,32,20)*s(32,40,20)t(16,48,12)+*
s(24,24,28)s(16,24,12)c(40,40,20)t(32,40,20)-++
s(40,32,28)s(40,32,20)t(32,40,28)+*s(48,40,20)+
s(40,24,12)c(48,48,12)t(32,56,12)s(40,40,20)+++
c(24,40,20)s(24,16,20)c(32,24,20)*-s(32,48,20)*
t(40,16,12)t(40,40,20)+t(32,24,12)+s(48,24,20)-
t(32,40,20)s(24,40,20)*s(40,48,12)t(40,40,20)++
s(40,24,28)c(32,24,20)t(40,40,20)-*s(24,16,20)*
s(16,40,20)s(24,48,20)s(16,48,20)**s(32,40,28)*
c(40,32,20)s(40,32,28)s(48,24,12)-*c(40,40,12)-
c(24,40,20)c(24,32,20)+c(32,32,12)-t(24,32,28)-
c(40,32,20)s(48,32,12)-t(48,48,12)+t(24,24,12)-
s(48,48,20)s(32,40,28)t(32,24,20)-t(24,48,28)*-
s(24,40,28)t(24,48,28)*c(24,48,12)s(8,16,12)+*
s(32,40,20)t(32,40,28)s(16,40,12)t(40,32,20)+**
c(40,48,12)c(40,32,20)+s(24,40,28)s(32,40,28)*-
s(16,24,20)t(24,40,28)s(32,16,20)c(24,24,12)-+-
t(24,48,28)c(24,40,20)*c(32,16,12)+c(24,32,20)+
c(16,32,12)s(48,16,20)t(32,24,20)-t(32,32,28)++
c(32,32,20)s(24,48,20)t(32,24,20)+*t(32,48,20)+
s(40,24,28)s(32,16,20)*c(16,32,12)c(32,40,20)++
s(24,32,12)c(40,24,12)+s(24,24,20)c(40,16,12)+*
s(32,40,20)s(16,24,20)s(40,16,20)c(24,24,12)-+-
s(24,32,28)s(40,32,28)s(32,32,12)-t(24,48,20)-+
t(32,40,28)t(40,48,12)s(16,24,20)+s(40,24,20)+*
s(32,32,20)s(16,24,20)+c(48,48,12)t(32,16,12)+-
t(24,24,20)s(16,48,12)c(32,24,20)c(48,32,12)-+*
s(32,40,28)s(40,48,12)-s(24,40,20)*s(40,40,28)+
t(32,48,28)s(32,40,28)c(40,24,12)-t(32,56,12)-*
c(24,32,20)t(40,40,20)+c(32,40,20)*s(32,32,20)*
t(40,48,12)t(24,32,28)+s(24,24,28)c(16,16,12)-+
c(24,32,12)t(40,40,20)t(24,32,12)++t(24,32,12)-
s(40,16,20)s(32,16,20)c(32,32,28)s(16,40,12)-**
s(24,16,20)s(24,16,12)s(24,40,12)+-t(32,32,12)+
t(24,32,28)c(32,40,12)-s(24,40,12)-t(24,40,20)-
s(48,40,20)s(32,32,28)s(32,8,12)c(40,24,12)+*-
s(16,48,12)s(40,24,20)+t(24,40,28)t(24,24,20)+*
t(32,32,28)s(40,40,28)s(32,40,28)*c(48,48,12)-*
t(32,32,28)c(16,48,12)+s(48,48,20)t(32,40,28)+*
t(24,40,28)c(40,32,20)c(24,24,20)*c(40,40,12)--
t(24,32,28)s(24,24,12)t(40,40,20)+t(48,16,12)+*
s(32,16,12)s(40,16,20)s(40,32,28)*s(48,8,12)-+
s(24,48,20)s(40,32,12)+s(24,32,12)s(40,40,20)+*
s(16,32,20)s(24,40,20)c(40,32,12)-*s(40,40,12)+
s(40,24,28)s(24,8,12)-c(32,40,20)*t(40,48,20)-
s(40,32,28)s(24,32,20)t(24,24,20)-t(16,32,12)+-
t(32,40,20)c(32,32,20)s(40,40,28)*c(40,24,20)+*
c(24,16,12)c(40,24,20)c(24,24,20)*+s(48,24,20)-
t(24,40,28)c(32,32,20)t(40,16,12)-*s(40,40,20)+
s(40,16,20)c(24,40,20)c(16,32,12)s(24,24,20)+*-
t(48,56,12)s(24,32,28)s(16,32,20)-+t(16,40,12)+
t(40,40,20)c(48,24,12)+t(24,48,20)-s(32,40,20)-
c(32,32,28)c(24,16,12)-s(24,24,28)*s(24,48,20)-
s(40,40,12)t(40,24,20)+s(40,24,12)-s(32,24,12)-
s(32,32,20)s(48,32,20)s(32,40,12)--t(24,32,20)*
s(32,32,28)t(32,40,28)*t(24,32,28)s(24,32,20)*-
t(24,40,28)t(48,24,12)+s(24,48,20)s(32,48,20)+*
c(24,24,20)c(40,24,12)s(16,32,20)s(24,24,20)-+*
s(40,24,20)c(24,32,12)+c(40,32,20)t(40,40,12)-*
s(32,48,20)t(24,40,20)t(24,24,12)++s(32,40,20)*
c(24,24,20)t(16,24,12)s(40,32,20)+t(32,48,20)--
c(16,24,12)c(16,32,12)+s(24,32,20)*s(16,48,12)-
c(32,40,20)s(32,32,20)*s(48,40,20)s(40,16,20)++
s(40,40,20)t(16,24,12)c(40,24,12)c(32,40,20)++*
s(32,32,20)c(24,40,20)*s(32,24,28)*t(32,32,20)*
s(16,48,20)t(24,32,28)s(24,24,20)*t(32,40,12)--
s(40,16,12)t(32,48,28)+t(32,24,20)s(48,24,12)+-
s(24,16,20)s(24,24,28)s(8,32,12)-*c(24,32,20)*
c(48,48,12)c(48,32,12)+t(32,32,20)s(48,48,12)+*
s(32,40,20)s(32,48,20)+c(24,32,20)*t(24,40,20)*
s(40,32,28)c(40,40,12)-s(24,24,28)c(40,24,12)-+
t(32,48,20)t(32,32,20)s(48,40,12)-+t(32,40,28)*
c(32,40,20)s(48,48,20)*s(40,24,20)+c(24,40,12)+
c(24,32,20)c(24,24,20)*s(32,32,20)t(16,48,12)+*
t(24,56,12)c(32,24,20)s(32,40,20)*+t(40,32,12)-
c(32,40,20)t(40,32,20)s(32,32,20)+*s(24,24,20)+
s(32,8,12)c(32,32,12)+c(16,16,12)+s(16,40,20)-
s(32,40,20)c(48,32,12)s(24,32,12)+t(40,40,12)++
c(32,32,20)c(24,24,12)-c(16,24,12)+t(32,32,28)-
t(48,56,12)t(32,32,28)+c(40,40,12)-s(32,48,20)-
t(32,24,20)t(40,24,12)-c(40,40,20)+s(48,48,12)-
t(24,16,12)s(24,40,12)s(32,24,12)++t(32,56,12)+
t(24,40,20)s(16,40,20)*s(32,32,12)+s(16,48,12)-
s(16,48,20)s(32,40,12)s(48,24,20)+c(40,32,12)-+
s(32,32,20)c(32,32,20)s(32,16,12)-c(24,24,20)--
s(24,32,28)t(32,40,20)s(16,24,20)c(24,40,12)-+-
s(24,32,28)c(40,32,12)s(32,16,20)+s(32,48,12)+*
t(24,32,28)s(16,8,12)c(32,40,12)+*t(32,40,20)+
s(40,40,12)s(8,32,12)+t(40,48,20)+s(24,24,28)-
t(24,32,28)c(32,40,20)s(32,48,12)-s(32,40,20)**
s(32,32,28)c(24,24,20)*t(24,48,20)-s(40,40,12)-
s(32,24,28)c(40,40,20)*c(32,24,20)t(40,32,20)**
s(48,24,20)c(24,32,20)s(32,8,12)+-c(32,32,20)-
c(24,32,20)s(24,48,20)-s(32,32,12)s(32,48,12)+-
s(16,16,20)s(48,40,12)s(8,16,12)s(40,24,12)++-
s(16,48,20)s(48,16,12)+s(48,16,12)-s(8,48,12)-
s(24,8,12)s(40,40,12)+t(40,24,20)-c(32,32,28)*
t(40,24,20)s(32,40,20)+s(40,24,28)c(24,32,20)*-
s(40,40,28)c(40,16,12)s(40,24,28)c(24,24,20)*++
s(24,40,28)c(48,16,12)+t(32,48,28)s(24,32,28)*-
c(32,40,20)s(24,8,12)c(32,32,20)s(32,24,20)*++
c(32,24,20)t(16,16,12)t(16,40,12)++t(16,16,12)-
t(24,32,20)s(40,32,20)t(32,32,28)t(32,48,20)-*-
s(32,24,20)s(24,40,12)+c(32,24,20)*t(24,40,28)*
s(16,32,12)c(40,16,12)+s(24,40,28)t(32,32,12)-+
s(48,16,20)t(32,16,12)-s(24,24,28)s(48,8,12)+*
t(32,32,28)s(32,24,28)t(24,40,28)*c(16,48,12)++
c(32,32,20)c(40,24,20)*s(8,48,12)s(40,48,12)+-
c(24,40,20)c(40,40,20)s(24,24,20)-s(40,48,12)--
s(48,40,20)s(40,32,28)s(48,8,12)+t(24,48,28)-*
s(24,32,28)t(24,40,28)*s(8,48,12)-s(16,48,12)-
c(40,32,20)s(24,24,28)t(48,40,12)s(40,16,12)+-*
t(24,48,28)t(32,48,28)t(32,24,20)-*t(48,24,12)+
c(32,32,28)c(32,32,20)s(40,16,20)+*s(24,24,28)-
t(24,40,28)c(16,40,12)t(32,24,12)+*t(40,32,20)-
t(40,24,20)c(48,40,12)+s(32,40,28)c(32,32,20)**
s(32,24,28)s(48,40,12)-c(24,40,12)-t(48,16,12)-
c(40,32,20)s(40,40,20)c(48,40,12)--s(40,40,20)-
c(40,16,12)c(24,40,20)s(32,32,28)*+s(32,24,20)*
t(32,48,28)c(16,16,12)+c(16,16,12)s(16,32,12)+*
s(40,32,28)t(24,32,20)-s(48,40,20)s(32,24,28)+*
t(40,24,12)c(24,16,12)+t(16,40,12)+s(16,40,20)+
s(40,32,20)t(16,32,12)+c(32,24,20)*t(24,40,28)-
s(32,24,20)c(40,16,12)c(48,24,12)s(32,48,20)++*
c(24,24,12)s(48,16,20)s(32,16,20)-c(40,40,20)-+
c(24,24,20)c(40,32,20)s(40,48,20)*+c(48,32,12)-
s(24,40,28)s(48,32,20)s(32,48,20)+s(48,16,20)*+
t(40,48,12)c(48,32,12)+t(40,40,20)+t(24,48,20)-
t(48,56,12)s(48,32,20)s(16,16,20)++s(24,24,20)+
c(24,24,20)t(16,16,12)-c(40,32,20)s(32,24,20)**
s(32,40,20)s(32,32,28)s(48,32,20)s(32,40,12)+**
t(32,24,20)s(16,24,12)-t(16,56,12)+c(32,24,20)*
c(32,40,20)c(24,24,20)s(16,40,12)-+s(32,40,12)-
c(32,40,20)c(16,24,12)+s(40,32,28)s(24,32,20)*-
s(40,40,28)s(40,40,20)t(40,40,12)s(40,16,12)+--
c(40,32,12)s(48,48,12)t(24,48,28)+t(32,40,28)-+
s(48,48,20)t(24,16,12)+s(40,32,20)s(32,48,20)--
s(8,32,12)s(40,48,12)s(16,48,12)++s(16,48,20)*
s(32,24,28)s(32,40,28)s(16,32,20)**t(24,40,12)+
s(24,8,12)c(40,16,12)+s(40,16,20)*c(32,40,20)+
t(16,40,12)s(40,8,12)+s(32,16,20)c(24,24,20)*-
t(24,40,12)c(32,24,20)t(32,40,28)*+c(48,40,12)-
s(48,16,20)s(40,8,12)s(32,8,12)++c(40,16,12)-
s(48,48,12)s(16,40,20)c(24,24,12)-+t(16,48,12)-
s(32,32,20)s(48,48,12)t(16,48,12)+-s(48,48,20)-
t(32,24,20)s(48,32,20)+s(32,24,12)-c(32,24,20)-
c(32,32,20)c(16,24,12)-s(32,40,20)s(16,32,20)-*
t(32,40,28)s(32,24,28)s(16,24,12)-s(32,32,28)**
s(40,40,28)t(40,24,20)s(32,32,28)s(16,40,20)-*-
s(40,24,28)s(32,40,20)s(48,32,20)s(40,24,20)--*
t(40,48,12)s(24,24,12)+c(24,40,20)+s(32,24,12)-
s(24,32,28)s(16,24,20)*s(40,24,20)-s(32,24,28)+
c(24,24,20)t(32,32,28)s(32,40,20)*s(16,24,20)-+
s(32,40,28)s(24,48,20)-c(32,32,12)-t(16,40,12)+
s(32,32,20)s(16,8,12)s(16,40,20)t(32,48,20)-+-
c(40,40,20)t(32,32,28)+t(40,48,20)-c(16,40,12)-
s(40,24,28)c(24,32,20)t(40,40,12)-s(16,16,12)-*
s(24,40,28)s(32,40,28)s(48,24,20)-+t(24,48,28)-
s(32,32,28)s(24,24,20)-t(24,40,20)s(32,40,20)+*
t(48,40,12)c(24,48,12)+s(40,32,28)s(48,48,20)*-
s(24,24,20)s(40,24,28)t(24,48,28)c(16,40,12)--*
s(16,48,20)t(48,32,12)+s(16,32,20)*s(40,16,12)+
s(32,40,20)t(24,24,20)-s(32,40,28)t(40,32,20)*-
t(24,40,28)s(48,32,12)s(24,16,12)t(32,56,12)++-
t(24,40,28)s(24,24,20)c(16,24,12)s(32,16,20)+*-
s(48,24,20)s(24,40,28)-t(24,40,12)s(24,16,12)++
s(24,40,28)t(32,32,28)t(32,40,28)+*c(24,40,20)*
t(32,32,28)s(40,24,20)+t(24,32,20)-s(24,24,28)*
c(24,32,20)s(32,24,28)+s(24,16,20)-s(48,32,20)*
s(24,24,20)s(24,24,20)t(32,32,28)+s(40,40,28)*-
s(40,16,12)t(40,40,20)+c(40,48,12)t(40,32,20)++
s(40,40,28)s(48,16,20)t(32,32,28)-t(40,24,20)+-
s(40,48,12)s(32,40,20)s(32,48,12)-t(16,48,12)-+
s(24,32,28)c(24,32,20)s(32,48,20)-s(40,40,28)--
c(48,48,12)c(32,40,20)+t(24,48,20)t(16,32,12)+*
t(16,56,12)t(32,40,28)+s(48,24,20)+t(16,56,12)-
s(24,40,20)c(32,48,12)t(24,24,20)+*c(48,16,12)+
c(32,40,20)c(48,32,12)+s(40,32,20)s(32,24,28)**
t(24,40,12)c(24,16,12)c(24,32,12)+s(24,24,20)*+
s(32,16,20)c(24,24,20)s(40,24,28)+s(8,40,12)+*
s(40,40,28)s(16,40,20)+s(24,24,20)-s(16,40,20)*
s(16,16,20)s(40,24,28)+s(24,32,28)*c(40,24,12)-
s(40,16,12)t(32,48,12)+c(32,40,20)t(40,32,12)-+
t(24,16,12)c(32,40,20)s(16,48,20)c(32,32,28)**+
t(32,32,20)t(40,56,12)s(16,24,20)s(40,24,20)-++
t(48,16,12)c(24,32,20)s(16,48,12)s(40,8,12)+-+
s(24,32,28)s(32,16,20)c(40,24,20)s(40,32,20)---
c(40,32,20)s(48,32,20)*s(16,48,12)+s(32,32,20)*
t(16,48,12)t(40,40,20)+t(24,48,20)-t(16,56,12)+
s(24,48,20)s(40,8,12)+s(24,48,20)t(32,40,12)--
t(40,24,20)s(32,40,28)s(32,40,20)s(32,24,28)*--
c(32,32,20)t(24,40,28)t(24,48,20)*t(40,32,12)+*
s(32,32,28)s(32,8,12)c(32,40,20)s(48,48,20)*+*
c(24,32,20)s(24,24,20)s(24,48,20)c(24,32,20)*-*
s(48,16,20)s(40,16,20)t(40,16,12)-s(40,32,28)+*
c(40,16,12)s(24,32,20)+s(40,32,20)-s(8,40,12)-
s(40,32,28)s(40,40,28)t(40,48,12)-*s(24,24,12)-
c(32,24,20)s(48,40,12)+t(24,32,28)*c(48,16,12)+
t(32,32,28)t(24,32,28)*s(32,8,12)+c(32,40,20)*
s(16,24,12)t(32,40,20)+t(16,32,12)-s(40,24,20)+
t(24,40,12)s(40,32,28)s(40,48,20)-+s(32,40,12)-
s(40,40,20)s(24,24,20)t(32,32,28)*+s(48,40,20)*
c(40,32,20)c(48,48,12)-t(32,40,12)-t(24,32,28)-
t(32,32,28)c(40,40,20)*s(24,16,20)s(32,24,20)-+
s(32,32,20)s(32,40,20)c(32,24,20)+s(16,40,20)-+
s(48,16,20)s(16,32,12)+c(32,32,12)s(48,16,12)+*
s(48,32,20)t(16,16,12)+s(48,40,20)t(32,40,12)--
s(40,40,20)s(32,32,20)s(32,48,20)t(32,16,12)++*
c(40,24,20)t(24,40,28)+s(40,40,28)*s(40,32,20)*
s(24,40,28)s(32,40,28)*t(40,24,20)t(32,48,28)+*
s(32,24,28)c(16,16,12)t(32,24,20)+*s(24,32,20)+
t(24,48,28)c(40,16,12)t(16,40,12)+-c(24,24,12)-
s(16,48,20)c(16,40,12)c(32,32,20)+c(24,40,12)--
t(40,24,20)s(32,32,20)s(40,40,28)s(24,32,12)-*+
c(16,16,12)s(32,40,28)s(24,48,20)*+t(32,48,20)+
t(32,32,28)c(24,32,20)c(32,32,20)t(24,32,12)---
t(32,48,12)c(32,24,20)t(32,32,20)-+c(24,32,20)*
t(24,40,28)t(24,24,20)+t(24,48,20)s(16,48,20)+*
c(24,40,20)s(32,32,20)c(24,40,20)*-c(24,32,12)+
s(24,40,28)t(32,32,28)*t(32,32,20)s(24,48,12)-*
s(32,32,28)s(24,40,20)s(32,40,28)s(48,32,20)*+*
s(24,40,28)s(16,48,12)-c(40,32,20)t(48,32,12)-*
s(24,32,20)s(32,48,20)c(16,16,12)+t(32,40,20)*-
s(24,24,20)t(32,40,20)+s(24,40,28)c(32,24,20)**
s(24,24,28)t(16,48,12)+t(24,32,28)*c(40,32,20)*
t(32,48,20)t(24,40,20)c(40,40,12)--s(48,40,12)+
c(40,40,20)s(24,32,20)c(32,16,12)-s(48,48,12)+-
s(32,16,20)t(40,40,12)+s(40,32,28)c(32,24,20)**
t(48,24,12)s(32,40,20)t(24,32,20)-t(24,56,12)-+
c(16,24,12)s(40,48,20)t(40,40,20)*+c(16,32,12)-
s(32,16,20)c(32,24,12)s(8,24,12)+c(16,24,12)+*
c(32,24,20)s(48,24,20)+s(32,32,28)t(24,24,20)-*
s(32,24,12)s(32,48,20)+t(24,48,28)c(32,32,20)*-
s(24,24,28)s(32,40,28)*t(24,40,20)-c(32,40,12)+
s(32,24,20)s(24,32,20)c(16,32,12)c(16,16,12)+*-
s(32,40,28)t(16,48,12)-t(24,32,28)*s(32,8,12)+
s(48,32,20)t(40,24,20)+t(24,48,20)t(40,32,12)+-
t(24,32,28)c(32,24,20)*s(40,32,12)s(16,32,20)+*
t(32,32,28)s(40,16,12)t(32,40,28)+*s(40,24,20)*
t(24,40,28)s(40,24,28)s(48,40,20)+*s(16,48,20)-
s(16,40,12)s(40,24,20)+s(40,32,20)s(24,40,20)--
c(24,32,20)t(48,24,12)s(16,40,20)+*s(32,24,20)-
t(40,24,20)c(16,24,12)+s(40,24,20)*c(32,32,20)*
s(32,32,28)s(48,24,20)s(8,16,12)+*t(24,24,20)+
s(24,32,28)s(48,48,20)-t(40,40,20)-s(32,24,12)-
s(48,24,12)t(24,40,20)s(16,32,20)++s(16,24,20)*
c(32,48,12)t(32,16,12)t(32,48,12)++t(24,40,20)-
s(24,40,28)t(24,56,12)t(32,32,20)+*c(40,40,20)+
s(24,16,20)s(16,16,20)c(40,32,12)+c(40,32,20)*+
c(24,24,12)s(16,24,20)s(16,32,20)*s(32,32,28)*+
c(40,32,20)s(32,40,28)c(48,48,12)-t(32,16,12)+*
c(40,40,20)s(24,24,28)t(24,24,12)--c(40,32,20)*
s(48,24,20)s(40,40,28)*c(24,48,12)+s(24,32,28)*
s(40,40,20)s(40,32,28)c(32,24,12)c(48,40,12)+--
c(32,32,28)s(40,48,20)s(24,40,20)-t(32,24,12)+*
t(32,48,12)t(32,40,20)+s(48,40,12)-c(32,24,20)+
c(32,32,28)s(48,40,20)*s(24,24,20)s(24,32,20)*+
s(40,32,28)t(32,48,28)*s(32,48,20)+s(16,16,20)+
s(24,32,28)s(8,24,12)-s(32,8,12)s(40,32,12)+-
c(32,32,28)t(48,40,12)c(16,48,12)+-c(24,40,20)*
s(24,32,28)c(32,32,20)*t(24,40,28)*t(48,40,12)+
s(16,16,20)t(24,32,28)s(24,32,20)*+s(40,24,20)-
t(32,48,28)t(24,48,28)t(32,24,20)+*c(32,32,28)*
t(40,32,20)s(16,40,20)c(24,32,20)t(32,48,12)-*+
s(24,16,12)s(16,24,12)s(24,8,12)++c(32,32,28)*
s(24,24,20)t(24,32,28)s(40,24,20)c(40,16,12)---
s(40,48,12)c(40,24,20)t(24,32,28)+c(48,32,12)-+
t(32,48,28)s(48,48,12)+s(24,40,20)-s(40,32,20)+
c(24,24,20)s(24,16,20)s(16,48,12)+t(24,24,12)-*
s(48,40,12)s(32,32,28)c(40,48,12)-+t(32,48,28)*
t(24,48,20)c(24,16,12)+s(40,32,12)+s(24,48,20)-
s(40,32,28)t(40,48,20)c(40,32,12)--c(32,40,20)*
s(24,32,20)s(24,40,20)+s(40,40,20)t(48,56,12)+*
s(40,32,28)s(32,40,28)*s(48,48,12)-c(24,24,20)*
c(40,16,12)s(16,48,12)s(40,48,20)+s(32,32,12)-+
s(32,32,28)s(32,24,20)c(40,32,20)*c(16,32,12)+*
c(32,32,20)t(24,24,20)-s(40,32,12)c(24,48,12)+*
s(32,48,20)s(32,8,12)+t(32,32,28)s(40,16,12)--
s(32,24,20)s(48,48,12)+t(24,24,12)s(48,24,12)+-
t(32,32,28)c(24,16,12)s(48,24,20)+s(40,24,20)*+
t(32,24,20)s(24,48,12)+c(32,48,12)-s(40,32,28)*
t(32,40,20)c(16,32,12)+t(24,40,20)t(40,16,12)++
s(40,32,28)s(8,8,12)s(24,40,28)+c(16,24,12)--
s(32,40,28)t(32,24,20)c(40,32,20)*-s(48,40,20)*
s(40,32,28)c(32,32,28)s(40,48,20)*s(48,24,12)+*
s(32,48,12)s(24,24,20)c(24,40,20)s(24,24,20)*-+
s(32,24,20)t(40,24,20)*t(24,48,20)+c(16,40,12)-
c(32,32,28)t(40,24,20)t(32,40,28)+s(24,24,20)--
s(48,48,12)s(24,32,20)c(24,16,12)+s(40,48,20)-+
c(16,48,12)s(32,40,28)c(16,40,12)-c(32,16,12)++
s(40,32,28)c(32,24,12)-s(32,32,28)s(24,40,12)-*
c(24,48,12)t(48,24,12)+t(24,56,12)-t(24,48,12)+
s(24,48,20)s(16,40,20)s(32,32,20)s(16,48,20)--*
s(16,16,20)c(40,24,20)c(48,40,12)--s(16,8,12)-
s(32,48,12)s(32,24,12)+t(24,48,12)-c(40,16,12)+
t(40,16,12)s(40,32,28)s(32,40,28)*+t(32,48,28)-
c(48,16,12)s(32,24,28)c(40,32,20)t(40,40,20)--+
s(24,32,28)t(40,24,20)-t(24,48,28)c(32,32,12)+-
c(40,40,20)s(48,48,20)s(40,32,28)*-c(32,40,20)*
s(32,48,12)c(32,32,28)c(32,48,12)-t(40,40,20)-+
s(48,24,20)s(32,40,20)-t(32,24,20)t(24,48,28)+-
s(24,48,20)s(32,24,20)s(24,40,28)*t(40,40,20)+-
s(24,48,20)t(32,40,12)t(32,32,20)+s(32,40,20)*-
t(24,40,20)c(40,40,20)c(32,48,12)-+s(40,40,20)*
s(40,40,20)t(32,32,20)c(24,48,12)+s(40,32,28)*-
s(24,24,28)s(8,40,12)s(40,40,28)+*s(40,24,28)*
s(24,40,20)c(48,16,12)+c(24,40,20)*s(16,24,12)-
s(32,32,20)c(32,40,20)s(16,40,20)c(24,40,20)*-*
s(40,40,12)c(24,24,20)t(48,40,12)t(32,40,28)+*+
s(24,40,28)s(32,40,12)s(48,40,12)++t(40,48,12)-
c(40,40,20)s(32,16,20)+t(24,48,28)c(32,40,20)**
s(32,32,28)s(16,48,12)t(24,48,12)t(32,32,12)++*
c(24,24,20)t(24,40,28)*s(32,32,20)*s(40,40,20)+
s(16,24,20)s(16,32,20)s(32,32,28)+s(32,32,12)-*
c(24,32,20)t(32,32,28)-c(24,40,20)s(24,48,20)*+
s(40,24,20)t(24,56,12)+s(24,40,28)t(24,24,20)*-
c(48,32,12)s(40,16,12)c(32,24,12)+t(32,24,20)*+
s(48,32,20)s(32,32,20)s(16,32,20)t(16,16,12)---
s(24,40,28)s(24,24,28)s(32,24,20)s(24,16,20)*-+
s(48,16,20)s(24,40,28)t(32,48,20)-+s(40,24,28)*
t(24,32,12)t(24,16,12)s(24,48,20)c(24,24,20)-++
s(32,40,28)s(32,24,28)c(40,24,12)-*s(24,32,20)*
t(32,24,20)s(32,16,20)*s(48,32,20)t(32,48,28)-+
s(32,32,28)s(16,40,20)*c(16,32,12)+s(40,40,20)-
s(16,40,20)t(24,40,28)c(24,32,12)-+s(24,24,20)-
s(48,32,20)t(48,24,12)-t(32,32,28)s(24,32,28)*-
s(48,24,12)s(32,40,20)s(32,48,20)*+t(32,32,28)*
s(32,40,28)c(40,32,20)-t(48,40,12)+t(24,40,28)-
s(32,24,28)s(32,32,28)t(24,32,28)*c(40,24,20)*-
c(24,40,20)t(48,48,12)s(24,24,28)t(40,40,20)-+*
c(48,24,12)t(32,32,20)c(16,40,12)s(16,24,20)+++
t(32,32,20)s(24,16,20)+c(24,16,12)c(48,16,12)+-
s(16,48,12)t(24,40,28)s(24,24,20)*+s(40,40,20)-
s(24,16,12)c(40,40,20)s(40,16,20)-+t(32,40,28)*
t(32,32,28)s(16,40,20)-c(40,32,20)*c(48,40,12)+
c(32,24,20)s(32,40,28)c(24,24,20)+s(40,32,28)**
c(32,40,20)s(32,16,20)+c(32,40,20)c(16,40,12)--
s(32,24,20)s(24,24,28)s(24,24,12)t(40,40,20)+*-
c(16,16,12)t(24,40,28)c(24,24,20)*+c(16,40,12)-
s(8,24,12)s(24,24,12)+t(24,40,12)s(16,48,12)++
s(24,32,28)c(32,32,20)*s(32,40,20)*c(40,32,20)+
t(32,16,12)t(24,40,20)c(32,32,20)*t(48,48,12)++
s(40,48,12)s(16,24,20)+s(24,16,12)-s(16,32,20)*
t(48,24,12)c(24,40,20)s(40,24,28)+s(32,16,20)*+
s(16,32,20)s(48,24,12)s(8,16,12)++s(16,32,20)-
s(24,40,28)s(32,24,12)-c(32,24,20)+t(32,48,28)*
t(24,40,28)s(48,48,20)-c(24,24,20)+t(16,48,12)-
s(24,24,28)c(24,32,20)*c(24,32,12)-s(8,40,12)+
s(16,48,20)c(32,32,28)*t(24,40,28)s(40,32,28)+*
c(24,16,12)t(32,32,28)s(16,32,20)t(32,32,28)*-+
t(24,32,20)s(32,32,20)*s(48,24,12)+t(24,32,20)*
s(48,48,20)s(16,32,20)c(24,32,20)*+s(24,32,12)-
s(32,32,12)t(24,32,20)+s(40,40,28)t(24,48,28)*-
c(32,40,20)t(24,40,28)-c(40,40,12)t(48,40,12)++
s(40,24,20)s(32,32,20)t(32,40,28)c(32,48,12)-*-
c(24,32,20)s(32,48,12)c(24,32,12)+*s(48,48,20)-
s(24,40,28)c(32,24,20)s(24,32,28)*+s(32,24,20)-
s(16,48,20)c(24,40,20)c(24,32,20)+*c(32,32,28)*
c(32,32,28)c(40,24,20)c(40,32,20)s(24,24,12)-*-
s(32,48,20)s(32,24,20)+s(16,24,12)+s(48,48,20)*
s(16,32,20)c(40,32,20)s(48,48,12)s(40,16,12)+--
c(32,32,20)s(48,16,12)+s(40,40,20)t(40,32,20)+-
c(40,32,20)s(24,40,28)t(32,32,28)*t(24,32,28)*+
c(24,40,20)s(32,40,28)*s(32,32,20)*t(32,32,20)*
s(32,24,28)s(48,16,20)c(40,40,20)+c(32,40,20)--
s(24,32,28)t(48,24,12)s(32,16,20)t(32,32,12)++*
s(24,48,20)t(16,56,12)-s(32,24,28)s(40,40,28)*+
t(24,40,28)c(24,24,12)-s(24,40,20)*t(32,48,28)*
s(8,16,12)c(32,24,20)t(16,48,12)t(40,48,20)+-+
t(24,40,28)c(40,40,20)c(40,32,20)c(24,40,20)**-
t(32,48,20)t(24,48,28)t(16,48,12)-c(40,32,20)+*
s(16,40,12)t(16,56,12)+s(32,16,20)t(48,48,12)++
s(24,40,28)c(32,40,20)*s(24,24,28)s(40,8,12)--
s(24,32,20)c(40,48,12)+s(40,16,12)s(40,48,20)+*
s(32,32,20)s(40,24,20)s(24,40,12)+c(32,32,20)**
c(24,40,20)s(32,16,20)t(32,32,28)*-s(8,48,12)-
t(32,40,28)c(32,24,20)s(16,32,20)s(32,40,12)--*
s(48,8,12)c(24,40,20)c(32,40,20)*t(24,48,20)*+
s(24,40,20)s(16,24,12)+s(48,48,20)-t(32,32,28)+
s(40,24,20)c(32,24,20)+c(16,32,12)-s(40,32,20)*
c(40,40,20)c(40,24,12)-c(40,32,20)*t(24,40,12)-
s(32,40,20)t(32,40,20)t(32,24,20)-s(48,32,12)++
c(32,32,28)s(24,40,28)t(32,48,28)*t(48,56,12)+*
c(24,40,20)s(48,40,20)-c(32,32,20)c(16,48,12)--
t(16,56,12)s(32,40,20)+s(40,24,12)s(24,40,12)+*
c(48,32,12)s(16,8,12)+s(32,40,28)s(16,16,20)+*
s(16,16,12)c(32,40,12)t(16,48,12)+s(16,32,20)-+
t(40,16,12)s(48,40,20)+s(32,32,28)s(40,32,28)**
t(24,32,28)t(40,56,12)+c(24,24,20)*s(32,48,20)-
c(24,32,20)t(32,32,20)s(32,40,20)*-s(48,24,20)+
s(40,40,20)s(40,24,28)t(32,48,20)+s(24,32,12)-*
t(32,48,28)s(40,40,20)s(32,24,20)--s(32,40,20)+
s(16,40,12)t(40,40,20)c(32,32,20)s(40,24,12)-++
c(40,40,20)t(32,40,20)t(24,40,28)**s(48,16,20)+
s(32,24,28)s(32,40,20)-c(32,32,20)s(40,32,28)*+
s(48,32,20)c(40,24,20)c(24,40,20)t(24,40,28)*-+
s(40,24,20)s(32,32,28)+t(40,24,20)t(32,48,28)+-
t(24,48,20)t(24,32,28)+c(24,24,20)*s(24,16,20)*
t(32,32,28)s(32,40,12)-c(32,16,12)-c(32,40,20)*
c(32,24,20)c(40,40,12)-c(24,16,12)-t(48,32,12)-
s(16,48,20)s(40,24,12)+t(16,48,12)t(24,32,28)+*
s(32,40,28)t(24,24,20)t(24,48,28)+*s(24,40,20)*
t(24,40,20)s(32,40,20)*t(16,56,12)+t(24,48,12)-
t(40,32,12)c(16,24,12)+c(40,48,12)s(32,24,28)+*
s(16,40,12)c(48,32,12)+t(32,48,12)t(40,16,12)++
c(24,32,20)c(48,40,12)s(32,40,12)t(16,32,12)++*
s(48,8,12)s(48,40,20)s(16,8,12)+s(32,32,12)-+
c(24,32,20)s(16,40,20)t(24,48,28)+*s(24,16,12)+
c(32,24,20)t(32,32,28)s(16,40,12)-*s(40,32,12)-
s(32,40,20)s(32,24,28)*s(16,16,20)-t(32,40,12)+
s(24,48,20)s(40,8,12)+t(40,48,20)-t(24,40,28)-
c(16,24,12)t(40,48,20)+c(40,40,20)s(48,32,20)*+
s(24,24,28)c(24,32,20)*t(16,16,12)s(24,24,12)+-
c(24,32,20)t(40,48,20)-s(24,40,28)*t(40,24,20)-
s(48,24,20)c(24,16,12)t(40,24,20)s(32,40,12)-+*
t(32,32,28)s(24,40,28)s(32,32,28)c(16,16,12)-**
t(24,40,28)t(48,16,12)s(40,8,12)++c(16,32,12)-
s(40,32,28)t(24,24,12)s(40,24,20)+*s(16,32,20)-
c(16,48,12)t(32,32,20)+t(48,24,12)t(16,40,12)++
s(40,32,28)t(24,32,12)-s(16,40,20)-t(40,48,12)-
s(40,16,12)t(40,40,20)c(24,32,12)-+s(48,32,20)+
s(16,48,20)s(16,16,20)+s(24,32,20)-s(32,48,20)-
c(48,16,12)c(16,32,12)c(24,24,12)++s(48,24,20)*
s(24,40,20)s(24,32,20)*t(24,32,28)t(24,40,12)-*
c(40,32,20)s(32,40,20)c(48,32,12)-t(24,40,20)+*
s(16,32,20)s(24,48,20)-c(32,16,12)-c(48,48,12)+
s(40,16,20)s(48,24,20)*t(32,40,28)t(32,32,12)--
s(24,40,28)c(32,40,20)s(16,48,20)-*c(48,32,12)-
s(16,24,20)c(24,40,12)-s(24,16,20)*s(40,32,20)+
s(24,48,20)c(32,32,28)*s(40,32,28)+s(16,16,12)+
s(40,40,20)s(24,32,28)s(40,32,28)s(32,16,12)-**
s(32,40,20)t(32,48,28)c(48,40,12)-c(24,40,12)+*
t(32,40,28)t(40,32,12)c(32,40,20)s(32,24,20)-+*
c(32,40,20)t(32,24,12)-s(32,32,20)*s(24,24,28)*
c(24,40,20)c(32,32,28)c(40,40,20)s(40,8,12)+*-
s(40,40,28)c(24,40,20)+s(48,32,20)-s(40,24,20)-
c(24,16,12)c(16,16,12)+c(24,40,20)c(24,24,12)-+
s(16,16,20)s(24,32,28)*c(24,40,20)+s(32,24,12)-
s(32,8,12)c(24,32,20)+s(32,40,12)s(48,24,20)+*
c(24,32,20)c(40,24,20)c(48,16,12)s(48,40,20)++*
c(40,32,20)t(40,48,12)-s(16,16,20)-t(24,48,20)-
c(48,40,12)c(16,32,12)+s(24,24,28)*s(48,40,20)-
s(32,48,20)s(32,32,28)s(32,16,12)-*c(40,40,20)*
s(32,16,20)t(24,48,12)+s(48,24,12)+t(48,40,12)+
s(24,24,20)c(32,24,20)*c(32,32,20)*t(24,32,28)*
t(24,24,20)s(16,24,20)s(40,48,20)c(32,32,28)*+*
t(24,40,28)t(24,32,12)t(24,32,28)c(40,40,20)-+*
s(24,40,28)c(24,32,20)s(8,16,12)t(32,48,12)+-*
c(24,32,20)s(16,24,20)+s(48,24,20)s(24,40,20)+*
c(16,40,12)s(8,48,12)s(40,32,12)s(24,32,12)+++
s(24,40,20)t(32,48,28)t(24,48,28)*s(40,48,12)-+
s(48,40,20)s(24,16,20)s(32,32,28)+c(16,24,12)-*
c(40,32,20)t(24,24,20)-s(32,40,28)*s(48,40,12)-
s(32,24,20)s(16,24,20)s(40,24,28)+s(40,24,12)-*
s(48,24,20)t(32,24,20)+s(24,40,20)s(40,48,12)--
c(48,16,12)s(8,48,12)+t(24,48,28)t(24,40,28)+-
s(24,16,12)t(32,24,20)s(24,8,12)+s(24,24,20)*+
s(32,24,28)s(40,16,20)c(24,16,12)+-s(48,8,12)+
s(32,48,20)s(48,8,12)c(24,40,20)s(32,24,28)*++
s(32,40,28)t(48,40,12)s(16,40,20)+c(32,48,12)--
t(32,40,20)s(24,40,20)c(24,24,12)-s(16,40,20)+*
s(48,40,20)s(32,40,20)s(16,16,12)+t(16,48,12)+*
s(48,24,20)c(40,48,12)s(32,40,20)+-c(32,24,12)+
s(32,16,20)s(24,40,28)t(24,48,20)t(16,16,12)+--
s(48,48,20)s(48,32,20)c(40,40,20)*c(32,24,12)+-
c(40,40,12)s(40,24,28)s(16,32,20)-+t(32,32,28)*
s(16,16,12)c(40,24,12)+s(32,32,12)+c(24,32,20)*
t(24,48,28)t(24,24,20)+c(24,32,20)*s(24,24,20)*
s(40,32,20)c(32,32,12)t(24,24,20)+-s(48,24,20)+
s(32,32,12)t(40,40,12)+t(24,24,20)+t(24,32,20)*
t(24,32,28)t(32,40,12)-t(40,24,20)c(24,40,20)+*
s(48,16,12)s(24,24,20)+s(16,8,12)c(32,32,20)+*
s(24,24,20)s(32,32,28)s(24,40,12)c(24,48,12)+-+
c(32,40,20)s(48,24,20)+s(8,40,12)t(40,32,12)+-
t(32,24,20)s(48,8,12)+s(32,32,28)s(48,40,12)-*
s(16,48,20)s(24,40,20)s(32,32,12)s(48,24,20)++*
s(24,40,20)c(32,40,20)*s(24,24,28)s(40,8,12)-+
c(32,24,20)s(24,24,20)s(16,40,20)-c(24,40,20)+*
s(48,40,20)c(24,24,20)t(24,24,12)-+t(24,40,28)+
c(40,40,20)s(24,32,28)s(40,40,28)+s(24,24,28)-*
s(24,40,28)c(40,32,20)-t(24,32,20)s(32,32,20)*-
t(24,24,20)s(40,24,28)+s(40,32,28)-t(40,56,12)+
t(32,48,28)s(40,32,20)+c(32,40,20)*t(32,32,28)*
s(24,24,28)s(40,40,20)s(40,16,12)c(32,40,20)+*-
t(24,32,12)c(40,48,12)+s(24,40,12)+s(40,40,28)*
t(32,16,12)s(40,16,20)c(40,40,20)+s(48,16,20)*+
s(24,48,20)s(32,32,12)+s(48,24,20)+s(48,16,20)-
s(32,40,28)t(32,32,28)s(32,48,20)+*c(40,32,20)-
c(24,16,12)s(32,32,28)s(24,40,20)*+s(24,8,12)-
c(24,32,20)s(40,32,20)c(40,24,20)*t(40,24,20)+*
s(24,24,28)t(32,40,28)s(32,48,20)t(16,56,12)-*+
s(32,32,20)t(40,48,20)s(16,32,20)+*s(24,32,20)*
s(32,24,28)c(16,24,12)-c(24,24,20)c(32,40,20)**
c(40,24,20)s(48,16,20)-c(48,32,12)+s(32,24,12)+
s(16,40,12)c(40,48,12)+t(40,32,12)+c(32,40,20)+
c(48,16,12)c(40,40,20)+c(32,32,28)*s(24,32,12)-
c(24,48,12)c(16,24,12)+t(48,32,12)s(32,16,12)++
t(24,40,28)c(32,40,20)s(16,8,12)+*s(32,48,20)*
c(48,40,12)s(48,16,20)s(8,8,12)+s(48,32,20)*+
t(16,32,12)s(24,48,20)s(40,32,28)-c(16,32,12)-+
s(24,24,20)s(16,16,12)s(48,24,20)+s(48,32,12)-*
s(24,16,20)s(16,32,12)c(32,40,20)+s(16,8,12)+*
t(32,40,28)c(32,24,20)c(40,32,20)+s(24,24,12)-*
c(48,48,12)s(40,40,12)s(24,32,12)+s(24,16,20)-+
s(8,32,12)s(40,24,12)+t(24,24,20)s(24,40,20)++
s(32,32,12)s(40,40,28)s(24,32,28)t(40,40,12)-*+
s(32,40,28)t(48,40,12)-s(40,40,28)*c(48,48,12)-
c(24,24,20)s(32,40,28)*c(16,40,12)+s(24,32,20)*
s(48,16,20)s(48,24,20)t(48,24,12)-s(40,40,12)-+
c(32,40,20)s(16,40,20)s(8,24,12)--s(40,32,28)*
c(32,40,20)s(40,8,12)s(32,16,20)s(24,24,28)*+-
s(16,40,12)t(16,24,12)+s(32,48,20)+s(24,40,28)*
s(32,16,20)c(24,32,20)c(40,32,20)*t(48,48,12)+-
s(32,16,12)c(32,32,20)s(16,24,12)s(40,24,12)+-+
t(24,56,12)s(40,24,28)s(16,32,12)+s(16,32,20)*+
s(32,24,28)s(16,32,20)t(32,48,28)+*s(40,32,12)-
c(16,24,12)s(16,32,20)s(32,24,28)t(40,56,12)+*+
t(32,48,28)c(24,24,20)c(40,32,20)c(40,48,12)+*-
s(24,32,28)s(8,48,12)-s(40,48,20)-c(24,16,12)-
s(24,32,12)c(24,40,20)c(24,24,20)-+t(32,48,20)*
s(40,32,20)t(40,56,12)+s(40,32,12)-s(40,32,28)*
s(40,40,28)s(24,40,28)t(32,48,28)c(32,48,12)--+
c(40,40,20)s(24,24,20)t(32,32,28)t(16,32,12)+*-
s(16,16,20)s(32,40,20)+s(40,24,20)-t(24,56,12)+
s(40,24,20)c(24,32,12)-t(32,48,12)s(40,32,12)++
t(32,32,28)c(40,48,12)+s(40,16,20)-t(40,48,20)*
c(32,40,12)t(16,48,12)t(32,24,20)++s(40,40,28)*
t(32,40,28)s(24,32,28)*s(24,32,12)-c(24,40,20)*
s(32,24,28)t(24,32,28)-t(32,32,28)+s(32,48,20)-
t(32,40,20)t(24,40,28)s(32,24,12)-*s(40,32,20)+
s(16,16,20)c(48,24,12)c(24,40,20)+s(48,24,20)*+
s(16,8,12)s(24,40,20)t(40,40,20)-+s(32,32,28)-
t(32,24,12)s(24,16,12)+s(48,32,20)s(40,40,20)*-
s(16,24,20)s(16,16,20)c(24,40,20)s(32,48,12)--*
s(40,40,20)s(32,24,28)c(40,40,20)**t(48,24,12)+
t(32,40,28)c(24,32,20)s(16,16,12)-*c(32,48,12)-
t(16,48,12)s(16,16,20)s(32,16,20)c(32,40,20)--+
s(16,32,20)s(24,40,28)*s(32,24,28)s(32,40,28)**
s(32,24,12)t(32,48,20)+s(32,48,12)-s(24,32,20)+
s(32,32,28)c(32,40,20)*s(32,48,12)-c(24,32,20)*
s(48,48,20)s(40,40,28)s(16,40,20)c(24,32,20)*-*
c(24,32,12)t(24,40,28)c(40,32,20)*+t(32,48,28)+
s(32,16,12)t(48,24,12)t(32,40,28)++c(40,32,20)*
s(16,40,20)s(16,32,20)c(24,40,20)+c(24,24,20)-*
s(16,48,20)c(32,40,20)s(32,32,12)-+c(40,24,20)-
s(16,40,20)t(24,32,28)t(32,32,12)-c(24,32,12)+*
s(48,48,12)c(40,24,20)s(48,32,20)t(24,40,28)--+
c(32,40,12)s(32,40,12)c(48,24,12)++c(40,32,12)-
c(24,40,20)s(32,48,20)s(24,16,12)+*c(16,48,12)+
s(48,16,20)s(32,24,28)c(40,32,20)*c(32,40,20)*-
s(32,24,20)s(24,40,12)-s(24,32,28)*s(32,8,12)-
s(40,40,28)s(40,24,28)-s(40,48,20)*t(48,40,12)-
s(24,48,12)t(40,40,20)+c(32,24,12)+t(24,40,12)-
c(24,32,20)t(40,40,20)s(40,16,12)+-c(32,24,20)*
t(48,56,12)c(40,40,12)+c(32,32,20)t(32,48,20)+*
s(24,40,28)s(16,32,12)-c(24,32,20)s(40,40,28)*-
s(16,16,20)c(24,32,20)+s(40,40,28)*c(16,48,12)-
c(32,40,12)s(16,48,20)t(32,24,12)s(16,32,20)+-+
s(24,32,20)s(40,24,20)+s(16,24,20)t(48,32,12)+*
t(24,32,28)s(40,24,28)+t(24,40,28)c(16,32,12)+*
t(32,32,28)t(24,32,20)*t(32,24,12)c(24,16,12)++
c(32,40,20)s(32,24,28)-c(40,24,20)s(32,40,12)-+
s(24,32,12)s(32,48,20)+t(48,24,12)+s(16,48,20)*
c(40,32,20)s(40,24,28)*t(24,48,28)c(24,48,12)--
s(8,48,12)c(40,32,20)+s(24,40,28)*c(32,24,20)*
c(40,40,20)t(32,40,12)-s(16,48,20)s(32,40,28)*-
s(16,16,20)t(16,32,12)t(24,40,20)+-c(32,24,20)-
c(32,24,12)s(24,48,12)+c(48,24,12)s(48,16,12)+-
s(32,40,28)s(40,16,20)-c(32,24,12)+c(32,24,12)-
c(40,40,20)s(32,48,20)*s(24,24,28)+t(24,48,28)*
s(32,40,20)t(16,32,12)t(24,40,28)t(24,48,28)*+*
s(24,32,28)t(32,48,28)*c(40,24,20)+c(16,40,12)-
t(32,32,20)c(48,40,12)t(40,48,20)+-s(32,48,12)+
s(40,16,20)c(24,32,20)s(24,32,12)-+c(48,16,12)-
s(24,32,20)s(32,32,28)s(40,40,28)c(32,24,12)--*
s(24,16,20)s(32,16,20)*t(48,24,12)+s(48,48,12)+
s(24,40,20)t(32,32,28)*s(24,24,28)*s(32,48,12)+
t(32,32,28)s(32,8,12)c(48,16,12)s(48,40,12)++-
s(32,48,12)s(40,40,28)s(40,16,12)+s(40,24,28)*+
c(48,40,12)t(24,32,12)+t(24,40,28)t(32,40,28)*-
s(32,32,28)s(32,32,28)t(24,48,28)+t(24,48,20)-*
c(48,16,12)c(40,24,20)s(24,32,28)s(40,32,20)*-+
s(32,48,20)t(24,48,12)-t(24,32,12)-t(40,32,12)-
t(40,24,12)s(24,48,20)c(24,40,20)+t(24,48,28)-+
s(24,40,28)s(40,40,20)s(48,32,20)-t(32,32,20)+-
t(32,48,28)s(24,32,28)s(8,32,12)c(40,32,20)+**
s(8,16,12)t(48,40,12)c(32,40,12)+t(32,32,12)-+
s(24,32,28)t(32,48,20)-s(40,16,12)-t(40,24,20)-
s(32,24,20)s(40,48,20)c(40,40,20)*-s(16,16,12)+
t(48,40,12)s(8,16,12)+t(32,48,20)+s(32,48,20)*
s(40,48,20)s(40,40,20)c(24,32,12)-t(32,56,12)-*
s(24,40,12)s(24,24,20)c(24,32,12)-+c(24,24,20)*
c(32,32,20)s(40,40,12)-s(16,40,20)*t(32,32,12)+
s(32,24,28)c(40,32,20)s(16,32,20)+*t(24,24,12)-
c(24,24,20)t(32,32,20)s(24,48,12)s(32,32,12)++*
c(24,32,20)s(24,48,20)s(32,24,20)-+c(16,16,12)-
s(48,32,20)s(40,32,28)s(48,40,20)s(48,48,20)**-
c(24,40,20)s(16,40,20)*c(32,32,20)+t(24,32,28)*
s(24,24,12)s(40,24,28)s(24,32,20)-+t(16,40,12)+
s(32,16,20)c(32,24,20)*s(32,48,20)s(32,40,20)++
c(32,40,20)s(24,40,28)*s(16,40,12)c(40,40,20)+*
t(40,40,20)c(24,24,20)s(8,24,12)-s(48,24,12)++
s(24,48,12)s(48,32,20)c(40,16,12)c(40,48,12)+-+
t(32,48,28)t(32,32,28)s(40,32,28)s(40,16,20)+*+
s(32,48,20)s(16,16,20)s(48,40,12)+c(40,40,20)+*
c(40,32,20)t(48,24,12)-s(32,40,20)*s(24,40,20)*
s(40,40,28)c(24,32,20)c(32,24,20)c(40,40,12)-*-
t(32,40,28)s(32,32,20)t(24,48,20)-t(16,24,12)+*
s(48,32,20)s(48,16,20)+c(32,24,20)c(16,32,12)-+
t(40,24,20)s(40,40,28)*t(32,40,28)+t(40,48,20)*
s(24,24,28)c(16,48,12)t(32,40,28)+-s(24,32,28)*
s(24,24,28)s(40,24,28)c(40,48,12)t(24,48,20)++*
s(48,32,20)t(32,32,28)-t(24,40,28)+s(24,40,20)*
c(40,24,12)t(24,40,28)+s(40,24,28)s(40,40,20)--
s(32,40,20)t(16,32,12)+t(24,16,12)+s(32,32,20)+
s(32,16,20)c(40,24,20)+s(40,24,28)*s(24,32,28)*
c(32,48,12)s(16,16,20)+t(32,48,12)t(32,24,20)+-
c(40,32,20)s(32,32,20)t(32,48,28)*s(8,40,12)+-
c(24,40,20)c(32,24,20)+t(24,40,28)s(32,32,20)-*
s(40,40,20)s(40,32,28)s(16,32,20)t(32,40,28)+**
s(32,32,20)s(24,48,20)s(40,48,12)-+t(48,48,12)+
s(24,40,20)s(24,16,20)+t(40,40,20)s(24,24,20)+*
s(32,24,20)t(48,24,12)+t(24,32,20)s(24,24,20)*-
s(32,40,20)t(24,24,12)-s(40,32,28)*s(40,40,20)*
s(24,40,28)s(40,32,20)c(32,40,20)s(24,40,20)*+-
s(48,40,20)t(24,32,28)s(40,32,20)s(48,40,20)*+*
t(24,32,28)c(40,32,12)s(16,48,20)+-s(48,32,20)-
s(40,40,28)s(24,40,28)*t(32,40,12)t(32,24,20)+*
s(16,16,12)s(40,32,20)+s(24,24,28)*s(8,8,12)-
s(32,24,28)s(32,32,12)-s(48,24,12)-s(32,32,28)*
t(24,32,28)s(40,40,28)c(40,16,12)+*s(32,24,20)+
s(24,16,20)t(32,32,20)-c(24,24,20)c(40,40,12)-*
c(32,32,28)c(24,16,12)-t(24,32,28)s(16,24,20)-*
t(24,32,20)t(32,32,28)c(40,40,20)s(24,32,12)-*+
s(8,24,12)s(24,32,20)s(16,48,20)+s(24,40,28)*+
c(24,24,20)s(24,24,28)s(32,32,28)*t(32,40,28)--
t(32,48,28)t(32,32,20)c(48,32,12)-+c(32,24,12)-
s(16,32,20)s(40,32,20)s(40,40,20)c(32,32,20)**+
c(40,32,20)t(24,40,28)-s(32,8,12)+s(48,40,12)-
s(40,32,20)c(48,24,12)-s(8,16,12)+s(32,40,28)*
s(40,40,28)s(32,48,20)s(32,24,20)++c(24,16,12)-
s(32,32,28)c(40,32,20)*s(24,32,28)*s(32,16,12)-
s(32,16,20)s(8,24,12)s(24,16,20)+*t(24,40,28)+
s(48,40,20)t(40,48,20)t(32,48,28)*+s(40,24,20)-
t(40,32,12)c(32,32,28)s(40,40,12)-s(48,24,12)-+
t(32,32,28)c(32,16,12)-s(24,40,12)-c(24,24,12)-
c(32,32,20)s(24,40,28)*s(48,32,20)+t(40,24,20)*
s(32,40,28)s(24,48,20)*c(32,40,20)*s(48,48,12)+
t(24,40,12)s(24,24,20)s(32,40,20)t(24,32,28)*-+
c(40,40,20)c(24,24,20)s(24,40,20)*+t(40,32,20)-
s(48,40,12)t(40,48,20)t(24,40,12)+s(40,40,20)*+
s(32,40,20)c(40,16,12)+s(24,40,28)*s(16,40,12)-
s(48,16,12)c(32,32,20)s(32,48,20)*s(16,32,12)-+
c(40,32,20)s(32,48,20)-t(32,40,28)t(24,40,28)*-
t(24,32,28)t(24,48,20)+c(40,40,12)-s(32,16,12)-
c(32,32,20)t(24,32,28)t(40,40,20)s(24,16,20)++*
c(32,32,28)c(32,24,12)-s(40,32,28)*s(24,40,28)-
s(32,16,20)s(40,24,28)*t(24,40,12)c(32,32,12)+-
s(32,40,28)t(32,40,12)-s(32,40,28)t(48,48,12)-*
s(32,40,28)t(24,32,20)s(8,40,12)+-t(32,40,28)*
c(40,24,20)s(48,24,20)t(32,24,20)s(32,8,12)---
s(24,32,28)s(24,24,28)*c(32,32,20)*t(16,48,12)+
s(32,48,20)t(24,40,28)c(24,24,12)-*t(32,32,12)-
t(40,48,20)s(24,48,20)s(32,40,20)*+s(32,32,28)*
s(8,32,12)t(24,32,28)c(24,40,20)t(32,48,28)+*+
s(40,32,20)t(32,32,20)+t(32,40,12)-s(32,24,28)*
c(32,32,20)s(24,24,20)-s(32,40,12)-t(24,48,28)+
s(32,40,20)s(48,40,20)-t(24,24,12)+t(24,16,12)-
c(16,32,12)s(32,24,28)s(32,40,12)-+c(40,24,20)*
t(48,48,12)c(24,32,20)+t(32,40,28)*s(16,16,20)+
s(40,32,28)s(32,48,20)s(32,40,20)*c(24,24,12)+-
s(16,16,20)c(32,40,20)c(32,24,20)-t(40,48,12)-+
s(32,24,12)c(32,40,12)+s(40,24,28)t(24,32,28)**
t(32,24,20)t(32,48,12)+c(40,24,12)+s(24,24,20)*
s(40,32,28)t(24,48,20)s(24,40,20)*t(32,24,12)+*
s(24,24,20)s(40,32,28)*c(24,48,12)+s(32,40,20)*
t(24,40,28)s(16,24,20)s(40,40,20)t(40,32,20)*++
s(32,24,28)t(16,48,12)+c(40,24,20)*s(48,32,20)*
s(32,40,28)c(24,24,20)s(32,16,20)t(40,32,20)+*-
c(24,40,20)t(24,24,20)s(32,24,20)s(32,32,20)*+*
c(24,16,12)t(24,32,28)c(24,40,20)*t(24,40,20)*+
s(40,24,20)s(40,32,20)t(24,40,20)-s(48,24,12)--
s(16,32,20)c(32,32,28)c(24,16,12)-*s(40,24,28)+
s(40,40,28)s(32,32,28)s(32,16,20)-*s(48,40,20)*
s(48,40,20)t(40,32,20)s(40,48,12)--s(32,48,12)-
s(40,24,20)t(24,40,20)-c(24,24,20)t(24,40,20)-*
t(24,40,28)s(16,32,12)-s(16,16,12)+t(32,48,20)-
s(48,40,20)c(40,48,12)s(16,32,12)+s(32,40,20)*-
s(32,40,20)s(48,40,20)c(48,40,12)-c(24,32,20)+*
c(48,48,12)t(32,32,12)t(48,16,12)++c(32,40,20)*
c(48,32,12)s(24,40,20)t(24,40,20)c(40,48,12)+*+
c(16,48,12)s(16,24,20)s(48,40,12)t(32,24,20)+-+
s(48,24,20)s(8,8,12)+t(32,40,20)+s(40,16,20)*
t(32,48,20)s(40,24,20)-s(48,24,12)+c(24,40,20)*
t(32,32,28)s(32,32,12)s(16,24,12)+-t(32,24,20)-
t(24,32,20)c(32,40,12)+s(32,32,28)s(40,24,28)--
t(16,24,12)s(24,32,20)t(32,32,12)-t(24,40,28)*+
t(24,32,28)t(24,32,12)-s(32,16,12)+s(40,24,20)-
s(24,24,28)s(32,40,28)s(40,48,12)-s(32,16,12)+*
t(48,48,12)c(40,24,20)+s(24,40,20)t(24,48,28)*-
t(40,32,20)s(48,16,20)+s(40,24,28)t(32,32,28)-*
s(32,24,20)s(16,32,12)s(32,8,12)+t(24,24,12)++
t(32,24,20)c(24,32,20)s(40,24,28)*+t(40,48,20)-
t(32,32,20)t(24,48,28)+s(40,24,28)*t(16,24,12)+
s(16,24,20)s(24,16,20)-s(24,8,12)+s(24,16,12)-
s(40,40,20)c(24,40,12)-c(48,24,12)t(32,48,12)+-
s(32,40,28)s(24,40,28)c(24,24,20)t(32,40,12)-*-
t(48,16,12)c(32,32,20)s(24,32,12)-+s(40,24,20)*
t(24,24,20)s(32,32,28)c(48,16,12)-s(24,24,28)**
s(16,40,20)c(32,40,12)s(24,32,20)s(16,24,20)*+-
t(32,48,28)c(40,40,12)-s(24,48,20)*s(40,24,28)-
c(32,32,20)s(40,8,12)s(32,24,20)t(48,40,12)+++
c(24,24,20)t(32,32,28)*c(24,24,12)+t(24,16,12)-
s(40,16,20)s(24,16,20)s(16,16,20)t(48,56,12)+*-
c(40,40,20)c(32,40,20)t(24,32,28)*-c(40,32,20)*
s(16,16,20)c(40,32,20)s(32,32,28)*+t(24,32,28)*
s(40,48,20)s(32,32,20)s(32,24,28)c(24,24,12)-*-
t(32,40,28)s(48,32,20)-s(40,40,20)t(40,32,20)-+
t(24,48,20)c(32,24,20)+t(32,16,12)-c(32,24,12)-
t(32,40,28)s(32,32,28)s(40,24,20)*s(32,24,12)--
s(40,40,28)s(24,48,20)t(16,56,12)-+s(32,40,28)*
s(40,24,12)s(16,32,20)c(32,24,12)+s(24,24,20)-+
s(32,48,12)t(32,32,28)s(48,16,20)c(16,16,12)+-+
c(40,32,20)s(40,40,12)-s(24,16,20)s(48,24,12)+*
c(16,48,12)c(40,32,20)s(24,16,20)-c(40,40,20)++
s(24,24,20)s(32,32,28)t(16,24,12)-s(32,48,20)*-
s(16,40,20)s(24,24,28)t(32,56,12)+t(32,32,12)--
c(32,32,28)s(24,48,12)-c(32,32,20)-t(16,16,12)-
t(32,32,28)s(40,40,28)*s(16,24,12)s(48,40,20)+*
s(24,48,20)t(24,24,12)t(16,40,12)++t(24,48,28)+
c(32,24,20)t(48,16,12)s(16,40,12)+s(40,24,12)+-
c(24,40,20)s(32,24,28)c(24,24,12)s(32,48,20)+**
c(32,16,12)c(32,40,20)+s(32,48,20)*t(32,32,12)-
c(32,48,12)s(40,24,20)+c(32,24,20)c(48,32,12)-*
s(32,40,28)t(24,40,28)s(32,32,20)s(24,24,28)*--
s(32,24,20)s(24,16,12)s(24,40,12)c(32,32,12)++*
c(40,32,20)t(24,32,20)+s(40,48,20)s(48,40,20)*-
t(40,48,12)s(48,16,20)+c(40,48,12)t(40,24,20)+*
c(16,16,12)s(24,48,20)+s(8,48,12)-s(32,32,28)*
c(40,32,20)c(32,40,20)*s(48,32,20)+s(32,32,28)*
s(16,48,20)t(24,40,28)s(40,40,12)c(48,16,12)+-+
c(32,24,20)c(24,40,20)-c(32,24,20)s(32,16,12)-+
t(32,48,28)t(32,40,20)t(32,32,28)+s(40,16,12)--
s(32,16,20)s(40,40,20)s(16,8,12)c(24,16,12)++*
t(32,40,20)s(24,16,20)t(24,32,20)t(32,24,20)+*-
t(32,32,28)t(32,48,20)c(40,32,20)+*s(24,24,20)-
s(40,40,28)s(48,32,12)t(24,32,28)+*t(40,32,20)*
c(32,32,20)s(32,32,28)c(32,40,20)**t(24,24,20)-
s(24,16,20)s(24,40,20)t(32,40,20)*c(24,24,20)+*
s(24,40,28)s(48,16,20)t(40,48,20)+-s(32,40,28)*
s(16,48,20)s(24,40,28)s(24,24,20)c(48,40,12)+*-
t(48,16,12)t(32,48,20)+s(48,24,12)-c(40,40,20)*
c(24,24,12)s(32,40,28)s(24,24,20)+s(16,24,12)-+
t(16,56,12)t(32,32,28)+c(24,40,20)*c(32,24,12)-
s(32,48,20)t(48,56,12)t(40,32,12)+s(40,8,12)++
c(32,32,28)t(32,48,28)*t(24,40,12)s(40,48,20)+*
t(24,40,20)t(24,32,28)+c(24,48,12)-s(40,32,28)*
s(16,48,20)s(24,24,28)c(32,32,28)s(32,48,12)-+-
s(24,24,20)t(24,48,28)s(24,40,28)*-s(32,16,12)-
t(16,16,12)c(32,32,20)c(32,40,20)*c(40,24,20)*+
s(40,16,20)s(40,24,20)s(8,8,12)+s(40,8,12)-+
s(16,40,20)c(24,32,20)+c(40,24,20)c(40,16,12)-*
s(40,32,28)s(24,32,28)t(32,24,12)--c(24,32,20)-
t(24,40,28)c(32,24,20)s(16,24,20)*+c(16,32,12)-
c(16,48,12)c(40,40,12)s(24,32,12)++t(32,40,12)-
s(32,40,20)c(48,16,12)+s(40,40,20)t(32,40,28)**
s(40,16,12)t(16,16,12)+t(24,32,28)s(24,24,20)*-
s(48,16,20)t(32,24,20)t(40,40,20)-+t(40,16,12)-
s(24,16,20)c(24,32,20)s(24,24,28)*s(48,40,20)-+
s(24,32,28)t(24,48,28)-s(40,40,20)s(32,24,28)*+
c(24,40,20)s(32,24,20)+t(24,24,20)-c(32,24,20)-
s(24,24,28)c(40,32,20)s(40,40,20)+*t(32,40,28)*
s(40,32,20)c(40,24,20)c(32,16,12)t(40,48,12)+*-
s(40,8,12)s(32,40,28)s(48,16,20)s(40,48,12)+*+
c(24,40,20)s(32,48,20)t(32,48,28)t(32,32,12)-**
t(24,32,28)t(32,40,28)-t(24,24,20)t(48,16,12)++
s(40,40,28)c(24,40,20)t(24,40,28)*s(32,48,20)**
s(24,48,12)s(16,16,20)c(24,48,12)s(32,16,20)+*+
s(32,40,28)s(48,40,12)-s(16,32,20)s(24,40,20)**
s(32,40,28)t(32,24,20)-s(48,48,20)*c(32,40,20)*
s(40,16,20)c(32,32,12)-c(32,24,12)-s(24,8,12)-
s(40,24,28)t(16,32,12)c(24,24,12)+-s(32,24,20)*
c(24,40,20)s(16,40,12)s(40,32,28)+*s(24,24,12)+
s(40,24,28)s(32,48,12)c(40,16,12)+c(40,32,12)--
t(32,48,28)s(40,40,28)s(16,32,12)t(32,32,28)+-*
t(48,16,12)s(24,32,20)+t(24,40,28)c(40,40,12)-*
s(16,8,12)s(40,48,12)c(32,32,12)+s(16,16,20)-+
t(32,56,12)t(40,40,20)t(16,48,12)c(24,40,12)+++
s(40,32,12)c(32,24,12)+s(40,40,28)*t(24,56,12)+
s(24,24,28)s(24,32,28)s(24,24,12)-+t(24,48,28)-
c(16,24,12)t(24,48,28)+s(32,24,28)s(24,32,28)+*
t(40,32,20)s(32,8,12)+c(40,24,20)*c(40,40,20)*
c(32,24,20)c(32,40,12)+t(24,32,28)-c(40,24,20)*
t(24,48,28)s(32,48,20)s(24,32,12)t(24,48,20)+*-
s(16,32,20)s(24,24,20)t(16,48,12)t(32,16,12)+-*
t(24,32,28)t(24,40,20)t(16,16,12)+s(32,24,28)*-
s(40,32,28)t(32,32,28)t(40,48,20)-s(16,24,20)-*
s(32,40,28)s(40,32,28)t(24,56,12)+*s(40,8,12)+
t(40,24,20)s(24,40,20)t(16,32,12)-+s(32,32,12)-
s(40,32,28)t(40,32,20)-s(32,32,28)c(48,24,12)-*
s(32,32,20)c(32,32,28)c(16,48,12)-s(40,32,28)**
s(40,24,20)s(32,24,20)t(48,40,12)+*s(32,16,20)*
s(16,48,20)s(48,48,20)s(48,32,12)-s(32,24,28)+-
c(40,16,12)s(8,24,12)t(32,40,20)++t(48,48,12)+
t(24,48,20)s(16,24,20)+s(32,24,28)s(32,32,12)-+
c(24,32,12)s(40,24,20)+s(32,32,20)*c(24,32,20)*
t(16,16,12)s(24,48,20)t(24,32,12)-+t(24,56,12)-
s(48,48,20)s(48,40,20)t(32,40,28)c(24,40,20)*-*
c(40,24,12)s(16,16,20)s(48,40,20)c(16,16,12)+++
s(40,40,20)c(40,40,20)t(32,48,28)s(40,32,12)+*+
s(24,24,28)s(32,40,20)t(32,32,28)+*s(40,48,20)-
s(32,48,20)t(32,40,28)t(24,40,28)s(8,8,12)+**
c(40,24,20)c(24,32,12)s(32,32,12)+-t(32,32,20)-
t(32,40,28)s(40,32,12)c(24,16,12)+c(40,24,20)*+
s(40,40,28)s(24,32,20)c(32,24,20)s(24,24,20)+**
s(16,32,20)s(48,48,12)+c(40,16,12)+s(24,32,28)-
c(32,32,20)s(8,48,12)c(40,24,20)+*s(32,24,20)*
t(32,48,28)t(16,24,12)+c(24,32,20)*t(48,32,12)+
s(48,48,12)t(40,16,12)t(24,40,20)++s(32,40,20)*
s(24,16,20)c(24,40,20)t(32,48,20)-s(40,16,20)--
c(40,24,20)s(40,8,12)t(32,40,12)t(40,24,20)++*
s(48,48,12)c(16,32,12)+t(40,16,12)+c(24,40,12)-
s(40,40,12)s(32,40,20)c(32,32,20)s(40,48,20)*-+
t(32,48,28)s(32,32,20)*t(40,24,20)+c(40,24,20)*
c(32,32,28)t(32,24,20)-s(32,32,28)s(16,8,12)++
c(32,32,28)s(16,48,20)*t(32,48,12)+s(32,48,20)*
s(24,32,28)s(16,24,12)-s(40,16,12)-s(24,48,20)-
t(24,32,28)t(48,32,12)+s(16,32,20)c(40,32,12)++
c(40,32,20)t(24,32,28)*t(24,48,28)+t(24,40,28)-
c(48,32,12)s(24,24,28)s(16,16,20)*+s(40,32,28)*
c(24,40,20)s(24,40,28)t(40,24,20)-*t(24,32,28)*
s(40,40,28)s(40,32,28)t(40,40,12)-s(48,16,12)-*
s(16,32,20)s(40,32,12)s(48,16,20)+s(8,48,12)+-
c(16,24,12)c(40,32,20)c(48,16,12)-t(24,32,12)-+
c(32,32,28)s(48,40,20)c(24,40,20)+*t(32,40,12)-
s(16,40,20)c(24,24,20)*s(16,8,12)+s(16,48,20)+
t(32,32,20)s(40,32,28)t(32,40,28)+s(48,32,12)-*
t(24,48,12)s(48,32,20)+t(24,40,28)t(24,32,28)+*
s(48,8,12)c(32,32,20)c(40,40,20)++t(48,40,12)-
c(40,24,20)c(32,48,12)t(48,56,12)+c(40,40,20)*+
s(32,32,28)c(32,24,12)-t(24,32,28)s(24,48,20)*-
c(32,32,12)s(24,40,28)c(32,40,12)s(48,48,12)+-+
c(40,32,20)s(32,40,28)*c(48,48,12)s(24,32,20)+*
s(40,32,28)s(40,16,12)t(24,48,20)+*t(32,24,12)-
s(32,32,28)s(8,48,12)t(32,32,28)+s(24,40,20)-*
s(16,40,20)c(32,40,20)*s(16,16,20)+s(24,40,20)+
s(40,32,28)c(32,32,20)*c(40,32,20)*s(48,40,20)-
s(16,40,20)c(32,24,20)c(48,16,12)-s(16,24,12)+-
s(32,32,28)t(32,48,28)c(24,32,12)+c(24,48,12)-*
c(32,32,20)s(8,48,12)c(40,32,12)+*s(48,24,20)+
s(32,24,28)c(40,32,20)s(24,40,20)-s(48,24,20)+*
s(24,24,12)s(48,24,12)s(40,40,20)+c(24,32,20)*+
s(48,32,20)s(24,40,20)t(24,48,20)*c(40,40,20)+*
s(32,40,28)s(40,32,20)c(40,24,20)*s(40,24,12)--
c(24,24,20)s(32,24,28)t(32,32,12)-s(8,16,12)+*
s(40,24,20)c(32,24,20)+s(40,40,20)t(16,16,12)+*
c(32,32,28)s(16,32,20)*c(16,16,12)s(8,24,12)+-
s(24,40,28)t(16,24,12)-s(40,32,12)t(24,56,12)+-
c(24,24,12)c(40,40,20)s(16,32,20)s(24,24,28)+*+
t(24,48,28)s(40,8,12)c(24,48,12)++s(48,48,20)+
s(48,40,20)s(40,8,12)s(40,32,28)s(40,24,28)*+*
s(24,32,28)c(32,32,28)c(40,40,20)-t(24,48,20)--
s(24,32,20)t(24,32,12)-t(16,16,12)-c(40,48,12)-
s(32,40,20)s(32,24,28)s(32,24,12)-t(32,48,20)+*
c(32,40,20)s(40,24,28)s(48,40,20)*-s(24,32,20)*
s(48,32,20)s(40,24,20)t(24,48,28)-c(24,40,12)+*
t(48,56,12)s(32,16,20)c(32,40,12)++t(40,24,20)*
s(32,32,28)s(24,24,20)*t(24,40,20)+c(32,48,12)+
s(24,24,20)s(48,16,20)-t(24,40,20)+s(40,16,20)-
c(40,24,12)t(32,48,20)+c(24,48,12)-c(32,32,12)-
s(40,24,28)t(24,32,12)-t(40,40,12)-s(8,24,12)+
c(40,24,20)t(24,24,20)s(16,48,20)s(40,16,20)++*
c(40,40,20)c(48,16,12)t(32,32,20)s(48,40,12)-+*
c(40,40,20)s(24,48,20)s(32,48,20)t(48,16,12)+*-
t(32,40,20)c(24,32,20)*s(40,24,12)+s(40,32,20)*
s(32,32,28)c(24,48,12)t(32,32,20)+*s(40,40,12)-
c(32,40,20)s(16,40,12)-s(48,32,12)-t(24,40,20)-
c(32,32,28)s(16,32,12)-c(40,40,12)c(24,24,20)+*
s(24,48,20)s(32,40,28)+t(24,32,28)*s(40,32,20)*
t(24,48,28)c(32,40,20)*s(40,40,28)c(16,16,12)+*
c(16,40,12)s(24,48,12)+s(48,32,12)+c(48,40,12)+
t(24,48,28)c(32,24,20)-s(40,40,28)c(48,48,12)--
t(24,48,28)t(24,48,20)t(16,56,12)-t(48,32,12)+-
c(40,16,12)s(16,48,12)s(32,24,20)++c(24,32,20)+
t(24,40,20)s(48,8,12)t(32,48,20)+s(48,24,20)-+
s(40,40,28)s(16,32,20)t(24,40,28)*c(32,24,12)+*
s(24,40,28)s(40,32,28)*c(40,40,12)t(32,32,20)+*
s(40,48,20)c(48,48,12)-s(32,48,20)s(48,8,12)+*
s(16,8,12)c(40,16,12)c(16,40,12)++s(40,32,28)*
t(24,40,28)s(24,40,20)*t(48,32,12)s(16,40,20)+*
s(48,32,20)s(16,16,20)s(8,48,12)++s(40,32,20)*
t(24,48,28)s(32,32,20)c(24,32,20)s(32,16,20)-*-
c(32,32,28)t(24,48,28)s(8,48,12)-*s(24,48,20)*
s(24,16,20)s(32,40,28)s(32,24,28)*+t(32,48,28)-
s(40,24,12)s(24,40,28)s(24,24,20)*+c(40,24,20)*
s(32,40,20)s(32,24,28)s(32,32,28)*t(40,16,12)-*
s(32,32,28)s(40,40,28)*c(24,24,20)c(16,16,12)-*
s(24,48,20)s(32,24,28)c(40,40,20)t(24,32,28)*-+
c(40,24,12)t(32,48,28)s(48,48,20)*+s(48,40,20)*
s(16,40,20)s(24,48,20)t(24,48,28)*c(24,40,20)**
c(32,24,20)s(32,40,12)-s(48,32,20)s(24,16,12)+*
s(24,48,20)s(8,8,12)+s(24,24,20)s(40,24,20)--
s(40,40,20)t(32,32,28)s(16,32,20)*s(8,32,12)+-
s(40,40,28)s(8,24,12)c(48,32,12)+-s(32,32,28)*
t(24,32,20)c(32,48,12)-c(16,16,12)t(32,32,28)+*
c(32,32,28)t(16,56,12)s(32,48,20)+*s(32,32,12)-
s(24,40,28)s(48,48,20)-c(40,32,12)+s(32,32,20)*
t(24,48,28)c(40,40,20)t(40,24,20)-s(48,32,20)--
t(48,48,12)s(16,16,20)+c(32,24,20)t(32,32,28)--
c(48,32,12)s(24,48,20)+s(40,40,28)s(40,24,20)*-
s(40,32,28)s(32,48,20)*t(40,40,20)+t(16,48,12)+
s(40,32,28)t(16,40,12)+s(32,40,20)c(24,40,20)**
s(32,16,20)s(24,32,28)s(16,48,20)t(24,48,28)*-*
s(48,8,12)c(24,40,12)s(48,16,12)t(48,56,12)+++
t(32,48,28)c(32,32,28)s(48,32,20)-*t(24,48,20)+
s(24,24,28)s(40,24,20)*s(40,32,20)*t(32,48,12)+
c(32,32,20)s(24,24,28)t(40,24,20)t(24,32,28)+**
t(32,48,28)s(24,32,28)*s(16,16,12)s(24,40,20)+*
s(32,24,20)s(32,40,20)+c(48,16,12)c(32,24,12)+*
s(48,16,20)s(40,48,20)t(32,48,28)*+c(32,16,12)-
c(40,32,20)c(32,24,20)t(40,40,20)+c(24,32,12)-*
s(24,24,28)s(48,24,20)t(32,32,12)--t(24,48,12)+
s(16,24,20)c(24,40,20)-t(40,24,20)c(32,16,12)++
t(40,24,20)t(32,40,28)s(24,32,28)*+c(16,48,12)-
s(32,40,28)s(24,40,28)s(32,40,20)t(24,48,12)--*
t(40,40,20)s(48,16,20)+s(24,16,20)-s(32,40,28)*
t(16,48,12)c(32,24,20)+s(16,40,12)-s(40,40,28)*
c(40,40,20)s(32,32,28)s(24,48,12)-c(40,24,12)-*
s(24,40,28)c(48,24,12)s(32,40,12)+*s(8,8,12)+
t(24,48,28)s(32,24,28)c(32,24,12)s(8,32,12)+*-
s(40,32,28)s(32,32,28)*s(40,16,20)*c(16,16,12)+
c(32,40,20)s(32,48,20)s(24,24,12)+s(48,24,12)++
s(32,32,12)c(16,48,12)+s(32,24,28)+s(24,40,12)-
s(16,40,20)c(16,40,12)-c(40,24,20)+s(48,32,20)*
c(24,40,20)s(32,32,28)s(24,16,12)-*c(40,40,12)-
c(16,32,12)s(40,32,20)+s(32,40,12)-s(32,24,20)+
s(40,32,28)t(40,32,20)s(24,32,28)+s(24,24,12)-*
c(32,32,20)s(8,48,12)t(24,32,28)+*t(24,48,28)-
c(40,40,20)c(40,40,20)s(32,24,28)s(48,16,12)---
s(40,40,28)t(40,24,20)-s(24,48,20)*t(32,56,12)+
c(40,40,20)t(24,24,12)c(40,24,12)++c(40,16,12)-
c(40,40,20)t(32,24,20)s(40,24,12)+c(24,40,20)+*
s(40,40,28)t(24,32,20)+s(16,48,20)s(40,40,20)--
s(16,48,20)c(16,40,12)s(48,8,12)+c(48,16,12)--
c(48,32,12)c(48,16,12)c(24,40,20)s(24,8,12)+++
c(24,48,12)c(24,24,20)s(32,24,28)*+c(40,40,20)*
s(32,40,20)c(16,24,12)-s(16,48,20)+c(32,24,12)-
s(48,8,12)c(48,16,12)+c(40,40,20)s(24,32,28)*+
s(32,40,28)t(40,32,20)s(24,24,12)+s(32,24,20)*-
c(16,48,12)s(8,8,12)+t(40,56,12)+s(32,48,20)*
s(40,40,20)s(48,32,20)+t(24,48,28)-s(24,40,12)+
c(24,32,20)s(16,24,12)-t(32,32,28)s(40,40,28)+*
c(40,40,20)c(32,24,20)s(48,48,20)s(24,32,28)+*-
s(40,24,20)t(32,48,28)c(40,24,12)+s(16,16,12)+*
c(24,24,20)c(48,40,12)s(32,24,20)s(16,32,12)-+*
c(24,32,20)s(8,8,12)s(32,48,20)+-c(16,24,12)-
s(24,32,28)s(48,16,20)s(40,32,28)*t(16,40,12)++
t(40,24,20)s(48,32,20)c(40,32,12)-+s(24,24,28)+
s(16,32,20)s(24,24,28)+c(40,48,12)+s(40,40,28)*
c(24,32,12)s(40,16,20)c(40,40,20)+s(40,16,20)-+
s(24,32,20)t(24,32,20)s(40,48,20)+s(32,40,20)--
t(32,32,28)c(48,24,12)-s(24,32,28)*s(40,16,20)-
c(24,32,20)s(16,24,20)c(40,32,20)c(32,32,20)*--
s(40,48,20)s(48,8,12)s(32,24,20)+s(32,40,20)-+
c(32,32,12)s(24,32,28)c(32,32,12)-+c(16,32,12)-
c(32,24,20)c(40,32,20)c(24,40,20)-t(40,32,20)+*
c(32,40,20)c(16,48,12)-s(40,24,20)s(48,40,20)--
s(40,24,12)t(24,40,28)s(24,48,20)+s(40,24,28)*+
c(24,40,20)t(40,16,12)+s(40,48,20)-s(32,16,20)-
c(40,32,12)t(48,16,12)s(32,24,20)+c(24,24,20)*+
c(40,48,12)t(32,32,28)+c(24,40,20)*s(32,48,20)*
s(32,48,20)s(32,24,12)t(24,56,12)s(48,40,20)++*
s(24,32,20)c(32,32,20)*t(32,24,12)s(16,48,20)+*
s(24,40,28)t(32,40,28)c(48,24,12)s(16,48,20)++*
t(48,48,12)t(32,48,20)+c(24,40,12)+s(40,32,28)*
c(40,32,20)s(24,40,20)s(8,16,12)t(32,32,12)++-
c(48,16,12)t(24,40,28)s(32,32,12)-s(24,24,20)-+
t(32,48,28)t(16,24,12)+t(24,24,20)-c(32,40,20)*
t(24,48,28)c(16,40,12)-t(32,56,12)-t(32,32,20)-
t(24,32,28)t(32,40,20)t(16,16,12)+t(48,16,12)+*
s(8,24,12)s(32,24,20)c(40,24,20)*+t(32,32,28)*
s(48,40,12)s(16,32,12)+s(40,24,20)+s(24,16,20)*
c(24,40,20)t(40,48,20)-s(32,32,28)s(24,24,28)**
s(24,32,20)s(24,40,20)*t(48,48,12)+s(16,40,20)*
s(40,40,20)t(24,48,28)s(32,24,28)t(32,56,12)+*+
c(48,40,12)t(24,16,12)+t(32,40,20)t(24,40,28)*-
t(24,48,20)t(48,48,12)t(24,48,20)+t(32,48,28)**
s(16,16,20)c(16,16,12)c(40,32,20)+s(40,16,20)*+
s(40,32,12)s(16,40,12)+t(40,40,20)+s(40,32,28)*
t(24,40,20)c(24,16,12)s(40,24,20)s(40,40,28)*+-
s(32,16,20)c(32,32,28)*s(40,32,28)c(16,24,12)+*
s(48,16,12)s(48,48,20)s(32,48,20)*+s(40,48,20)+
s(24,24,20)t(24,32,28)*c(40,24,20)s(48,40,20)*-
s(32,40,28)t(24,48,20)-s(40,24,20)c(32,16,12)++
s(24,32,28)c(16,48,12)-s(32,32,28)s(40,16,12)-*
t(32,40,28)c(40,40,20)t(32,32,20)-t(40,32,20)+*
s(40,8,12)c(40,32,12)s(16,16,20)s(32,16,20)*++
c(48,48,12)s(24,16,20)+c(32,32,28)s(16,16,12)-*
t(24,40,28)s(32,24,28)c(24,40,12)c(48,40,12)+*-
s(24,40,20)c(40,40,20)s(24,48,12)-s(48,48,20)*-
c(16,16,12)t(32,48,28)s(32,16,12)t(32,32,20)+++
s(24,32,20)s(40,40,28)t(48,48,12)-c(40,24,20)*-
c(32,24,20)c(48,24,12)-s(48,32,20)-t(32,32,28)*
s(40,32,20)s(32,24,20)c(40,48,12)c(16,32,12)+-*
t(32,32,20)s(48,40,20)+c(24,32,12)t(40,32,12)+-
s(40,48,20)s(48,48,20)s(40,32,12)t(32,48,12)+-*
s(24,40,20)s(40,24,28)-s(48,40,20)+t(24,48,20)-
s(40,40,20)c(32,40,20)s(40,16,20)-t(48,48,12)-*
s(40,40,28)s(16,48,20)-s(32,40,28)*t(40,40,20)-
s(24,8,12)s(48,48,20)+s(24,48,20)-t(24,32,20)+
s(40,40,28)t(32,40,28)*s(40,40,20)*c(24,32,12)-
c(16,32,12)t(16,40,12)+c(40,24,20)s(48,48,20)--
s(32,40,28)c(16,48,12)s(24,32,28)c(24,32,12)-+-
c(32,32,20)s(40,24,20)*s(24,40,28)s(48,24,20)-+
s(16,16,20)c(48,24,12)t(24,24,12)+c(40,32,20)*+
c(32,32,28)t(40,24,20)-t(24,48,20)*s(16,8,12)+
t(24,56,12)s(24,24,20)s(48,24,12)s(40,24,12)+++
s(24,40,20)t(24,48,20)s(24,24,28)+c(16,32,12)-*
s(16,48,20)t(32,48,28)t(24,24,20)-*c(48,24,12)+
s(24,24,28)t(24,40,20)c(40,40,12)-t(24,24,12)+-
t(32,32,28)s(40,32,28)*s(16,40,20)+s(24,16,20)-
s(32,32,20)t(32,32,28)s(40,8,12)+s(24,24,28)**
s(32,32,28)s(24,24,28)*c(32,32,28)c(48,24,12)-*
t(32,32,20)t(40,40,20)c(24,40,12)-+s(40,16,20)-
s(24,32,28)s(32,40,28)s(32,16,20)-*t(24,24,20)+
c(40,32,20)c(32,32,12)-s(40,40,12)s(32,40,12)+-
s(16,40,12)s(48,32,12)+s(48,40,20)s(48,40,12)-+
c(32,32,20)t(32,48,28)c(48,48,12)+c(24,40,20)**
s(40,32,20)t(48,16,12)-c(40,24,20)+t(32,32,28)-
t(32,48,20)s(40,32,28)t(16,56,12)s(32,32,20)+-+
s(40,24,20)s(16,24,20)-c(32,40,12)+t(24,32,20)-
s(16,16,20)t(24,48,28)+s(32,40,28)s(16,48,20)+*
s(32,32,28)s(16,40,12)-c(40,32,20)s(48,16,12)+*
s(32,48,12)c(40,24,12)s(16,32,20)++t(40,24,20)*
s(32,32,20)s(40,40,28)*s(32,24,20)*s(8,8,12)+
s(40,16,20)s(16,16,12)c(32,32,20)t(40,48,12)-++
s(40,16,20)s(24,40,12)+c(24,32,20)s(24,24,28)**
s(32,48,12)c(40,32,20)s(32,32,20)*t(40,48,12)-+
s(16,24,20)s(32,32,28)*s(24,40,20)c(16,24,12)+*
s(24,40,28)t(48,40,12)+s(16,32,20)s(16,16,20)+-
s(32,40,28)s(40,16,20)s(32,24,28)*+s(40,40,28)*
s(24,40,28)s(16,32,12)-c(24,40,20)*c(32,16,12)+
s(32,24,20)c(32,24,20)t(32,40,20)-s(32,32,20)*-
c(32,32,28)s(32,16,20)*t(32,24,20)t(48,48,12)+*
t(32,32,28)c(24,32,20)s(24,40,28)c(40,32,12)-*+
t(32,40,28)c(32,24,20)*t(24,16,12)+s(32,24,20)*
t(24,32,28)s(40,48,20)s(48,40,20)*c(16,32,12)++
c(16,32,12)s(48,32,12)+s(32,32,28)t(24,16,12)-*
s(32,24,28)s(32,32,28)*t(48,16,12)-t(32,56,12)+
c(40,32,20)s(32,24,28)*t(16,56,12)+t(16,32,12)+
s(40,32,28)s(32,16,20)c(32,24,20)s(40,16,20)***
s(40,8,12)s(24,40,28)+s(16,24,20)-s(40,40,28)*
c(32,24,20)t(16,32,12)-s(40,32,28)c(32,40,20)*-
c(40,32,20)c(32,24,12)-s(32,40,20)c(48,40,12)+*
s(40,24,28)s(16,24,20)-t(16,56,12)+s(40,24,20)-
c(32,24,20)t(40,40,12)-s(40,16,20)*s(16,16,20)+
c(40,32,20)t(24,40,20)-s(40,32,20)*s(24,40,28)+
c(40,24,20)s(48,32,20)t(32,24,12)+c(40,40,20)*-
s(24,40,20)c(48,32,12)s(40,48,20)+-c(32,40,20)*
s(24,16,12)t(40,40,20)s(32,32,12)-+c(16,16,12)-
t(32,40,28)s(24,40,20)*s(40,40,12)-s(40,24,20)-
s(40,24,28)s(32,32,28)s(40,40,20)-*s(16,40,12)-
c(24,48,12)s(32,40,20)t(40,32,20)t(32,32,28)*-+
c(16,32,12)c(16,48,12)+t(24,32,28)s(40,48,20)++
s(16,40,20)s(16,40,20)s(24,40,20)*t(40,40,20)++
s(24,40,28)s(32,48,20)c(40,32,12)+*t(24,24,12)+
s(16,40,20)c(48,40,12)c(40,16,12)+s(32,32,28)*+
c(32,32,28)c(40,40,20)t(48,48,12)-t(24,56,12)+*
t(40,40,12)s(24,48,20)s(16,24,12)++s(48,40,12)+
c(32,32,20)s(24,40,12)t(40,32,12)+-t(32,32,28)*
s(48,16,20)s(40,16,20)s(40,40,28)t(24,32,28)*-*
s(24,24,28)s(32,24,12)s(40,40,28)t(24,32,28)*+-
s(24,16,12)s(40,48,20)t(48,40,12)-s(16,40,12)++
s(48,24,20)s(32,32,28)t(32,32,28)-s(48,40,20)++
c(32,32,20)t(24,16,12)t(40,56,12)s(48,16,12)+++
t(40,32,12)c(40,32,20)s(40,40,12)-s(16,48,20)-+
s(32,40,28)s(40,24,12)s(16,32,20)+*c(32,24,20)*
t(32,32,20)s(48,16,20)c(40,32,20)*+c(24,24,20)*
c(24,24,20)s(16,48,20)c(32,24,20)+*s(24,16,20)*
s(24,24,28)s(16,48,20)t(24,48,28)s(24,40,28)*+*
t(24,32,28)t(32,40,28)s(24,16,20)-t(24,40,20)*-
t(32,48,28)s(40,40,20)*c(32,24,12)+t(32,48,28)*
t(32,32,28)s(24,32,20)s(40,16,20)c(32,32,28)*--
c(40,48,12)s(32,24,20)+t(40,32,12)t(24,40,28)+*
s(40,24,20)c(24,24,20)+t(40,40,20)-c(48,32,12)-
s(32,32,20)s(48,16,20)s(24,40,20)s(40,40,20)+-+
t(48,56,12)s(24,24,28)t(24,32,28)*s(32,40,20)*+
s(24,16,20)s(40,24,28)t(24,32,28)*s(40,40,20)++
c(16,16,12)c(40,32,20)s(32,24,20)*+s(32,8,12)+
s(32,32,12)s(8,40,12)c(32,40,12)++c(24,32,20)*
s(24,40,20)s(40,40,12)-s(16,40,20)+c(24,32,20)*
t(24,32,28)c(32,24,12)t(32,40,12)+*t(24,48,12)+
t(32,48,20)s(24,16,12)+t(16,16,12)-t(32,40,20)-
c(40,24,20)c(16,40,12)s(32,32,20)s(32,16,12)-+*
s(40,40,28)s(48,48,20)s(32,40,12)--s(24,24,28)+
c(24,24,12)c(48,24,12)+s(24,16,12)+c(24,16,12)-
s(32,24,20)s(40,16,12)-s(24,40,20)t(32,40,12)--
s(32,32,28)s(32,40,28)t(32,32,28)*-t(24,24,12)-
c(48,16,12)c(32,24,20)+c(32,40,20)*t(32,40,28)*
s(8,8,12)s(32,8,12)s(24,32,12)++t(48,16,12)+
s(16,48,12)s(16,24,20)s(40,40,28)+s(24,32,28)*+
c(32,40,20)c(32,48,12)-s(40,40,28)*s(24,32,28)*
t(32,16,12)c(24,24,20)t(32,32,12)-t(40,24,20)-+
c(32,24,20)s(16,32,12)t(24,40,28)s(40,32,28)*+-
c(48,16,12)s(48,48,20)s(40,16,12)+s(40,48,20)*+
t(24,48,20)c(24,24,20)t(32,40,28)*c(32,48,12)--
s(24,40,28)t(32,32,28)*s(40,32,20)*c(40,24,20)*
c(40,40,20)s(48,32,12)t(32,48,28)+*s(24,40,12)-
c(40,32,20)c(40,40,20)s(24,32,20)s(32,16,12)--*
t(32,24,20)s(32,16,20)s(48,8,12)-c(24,24,20)**
s(16,32,20)c(24,32,20)*s(32,40,20)+s(24,24,20)*
c(32,40,20)s(48,32,12)-s(24,32,12)c(40,40,20)+*
s(24,24,28)c(40,40,20)*s(40,48,20)s(24,48,20)*+
s(8,32,12)s(32,24,28)c(40,16,12)-s(32,48,12)++
c(24,48,12)c(24,32,12)+s(40,24,28)s(24,40,28)*-
s(40,32,28)s(40,16,12)-s(16,40,20)-s(32,32,28)*
c(32,32,12)t(24,16,12)+s(48,24,12)+t(32,40,28)*
s(32,48,20)s(48,48,20)s(16,40,20)+c(32,32,20)*-
s(24,24,28)s(40,16,20)-s(32,32,12)-s(40,40,20)+
s(24,40,20)s(8,8,12)c(24,24,20)+s(40,16,20)-*
s(32,32,20)t(24,56,12)+t(24,32,20)-s(32,16,20)-
s(32,24,20)s(32,40,28)t(24,32,28)-+s(40,48,12)-
s(16,40,20)c(40,40,20)s(48,40,20)*+s(32,40,28)*
c(48,16,12)s(24,40,12)c(24,32,20)s(24,48,20)-++
s(32,32,28)s(16,32,20)-s(40,24,20)c(32,40,20)*+
s(40,24,28)c(16,40,12)s(40,24,20)+c(24,48,12)-*
s(16,32,20)s(32,24,28)c(32,40,20)s(48,40,20)*-*
c(24,32,20)s(32,32,28)c(32,40,20)*c(32,32,12)--
c(32,48,12)s(24,32,12)+s(16,16,20)t(40,48,20)+*
s(40,48,20)c(32,32,20)*c(48,40,12)c(16,40,12)++
c(48,16,12)t(32,40,28)s(32,24,20)c(16,16,12)+*+
c(40,16,12)c(24,48,12)+c(24,24,20)s(48,16,20)--
s(8,40,12)s(48,48,20)c(40,24,20)-+t(48,24,12)+
s(24,24,20)s(48,32,20)s(48,40,20)+-s(16,48,20)-
t(32,40,28)s(48,40,20)c(40,32,20)*c(32,40,20)*-
s(32,16,20)s(48,32,20)s(32,24,28)s(16,16,20)-*-
s(24,40,28)s(32,16,20)t(40,56,12)+t(32,48,28)--
t(32,24,20)s(32,32,20)*c(16,48,12)+t(24,32,20)+
s(40,40,20)s(24,48,12)-s(48,16,20)c(48,48,12)+*
s(32,24,20)s(40,32,28)t(24,40,20)c(16,24,12)+*-
s(48,24,20)c(24,32,20)s(40,40,20)c(32,40,20)**+
t(24,24,20)s(40,32,20)s(40,40,20)*s(24,40,28)*-
s(32,32,28)s(32,40,12)s(40,32,20)t(40,24,20)-+*
c(40,40,20)t(32,48,12)-c(48,16,12)+s(40,48,20)*
s(48,16,20)c(32,32,28)s(24,16,12)-*s(32,16,12)-
s(24,40,28)c(16,24,12)-c(24,24,20)-s(24,48,20)*
t(32,32,28)t(16,40,12)-s(48,48,20)s(16,24,20)+*
c(24,40,20)s(16,32,20)*s(32,24,28)s(24,24,28)**
s(24,40,20)s(32,40,28)t(32,32,28)+s(24,24,20)--
c(40,24,20)s(32,16,20)c(40,32,20)--s(24,24,20)-
t(40,32,20)t(32,48,28)t(24,24,12)++s(32,32,20)*
c(40,48,12)t(48,24,12)+s(32,40,12)+s(40,32,20)*
s(16,32,20)c(32,40,12)-s(40,40,20)+s(40,48,20)*
s(40,24,28)s(40,48,20)s(32,32,12)-s(16,48,20)-+
c(40,16,12)t(24,24,12)+c(32,24,20)c(48,32,12)-*
c(32,40,20)s(32,32,20)s(24,24,20)--s(40,24,12)-
s(24,24,28)t(24,32,28)t(32,24,20)-s(32,8,12)+*
c(24,40,12)t(32,48,20)+t(32,40,20)+s(32,40,20)+
c(24,40,20)c(24,32,20)+t(32,48,28)*s(16,48,20)+
t(40,48,20)s(32,40,12)+t(24,48,20)+s(16,24,12)+
c(32,32,28)s(40,32,28)-s(16,32,20)c(40,24,20)-*
c(40,32,20)s(32,24,12)c(48,32,12)+t(24,24,12)--
t(24,40,28)s(40,32,28)c(32,48,12)-+s(40,48,20)*
s(32,24,20)s(24,32,28)c(40,24,12)t(24,16,12)+*-
s(24,32,20)t(24,40,28)t(16,48,12)-*c(32,40,12)+
s(32,32,20)t(32,48,28)s(48,40,12)s(24,32,28)+**
s(32,24,20)c(40,32,20)s(32,24,12)-t(40,32,20)*+
s(32,48,20)t(24,40,20)+t(40,56,12)c(32,16,12)+-
c(24,32,20)s(16,40,12)-s(48,32,20)c(32,16,12)--
s(40,32,28)t(24,32,20)s(16,32,20)+*t(40,56,12)+
s(16,40,20)s(8,40,12)s(32,32,28)+*t(40,24,12)+
c(32,32,28)s(40,24,28)t(24,40,28)s(16,32,20)*+-
s(48,16,12)t(24,32,28)+s(40,16,20)+c(16,24,12)-
t(40,40,20)s(32,16,20)+t(24,40,20)-t(48,40,12)-
s(48,40,20)s(32,16,20)+t(32,32,20)-s(40,32,28)*
t(32,32,28)c(32,24,20)s(40,24,20)*s(16,40,20)+*
s(32,32,28)s(24,32,28)*s(24,32,28)t(24,32,12)-*
s(16,32,20)s(32,40,28)t(24,32,20)s(40,40,20)+**
s(24,24,28)s(32,8,12)-s(32,24,20)-s(24,40,28)*
s(40,32,28)s(48,32,12)s(16,48,12)+-s(16,16,20)+
s(24,32,28)t(16,40,12)s(24,16,20)+s(40,24,28)*-
s(8,8,12)s(40,24,12)s(40,48,12)c(48,48,12)+++
s(24,40,28)c(24,32,20)t(32,32,28)--s(16,40,20)*
s(40,24,20)t(24,48,28)t(40,24,12)+-t(24,48,28)+
s(32,24,28)c(16,32,12)-t(24,32,28)*s(40,32,28)*
s(40,40,28)t(32,40,28)*t(48,24,12)+s(48,24,20)+
s(8,16,12)s(32,40,20)s(32,32,20)t(32,40,28)**+
t(48,16,12)s(24,32,28)+s(24,32,20)-s(24,8,12)-
c(24,40,20)s(40,24,12)t(24,40,28)+*t(32,32,28)*
s(40,40,28)t(24,24,20)s(40,32,12)-+s(24,40,20)+
s(8,16,12)t(24,16,12)t(48,40,12)+t(32,40,28)++
s(40,24,20)s(48,16,20)s(32,16,12)+*c(32,32,12)+
s(24,16,12)t(24,40,28)s(48,48,20)+s(24,16,20)-+
t(24,48,28)s(32,40,20)c(24,32,20)*s(24,16,12)+*
s(8,40,12)s(40,40,28)s(16,40,20)t(40,40,12)+*+
s(24,32,28)c(40,32,20)*c(48,16,12)+t(32,40,12)-
s(24,40,20)s(40,24,12)+s(48,48,20)+t(32,32,28)*
t(48,48,12)s(32,40,28)s(24,40,12)c(32,24,12)+*+
s(32,16,20)s(40,16,20)t(48,40,12)s(48,16,20)++*
c(24,40,20)s(32,48,20)*t(32,40,20)*s(40,48,12)+
s(16,24,20)s(32,40,28)s(32,16,20)t(32,40,20)+*-
s(32,32,20)s(40,40,12)-t(16,40,12)+s(32,16,20)*
s(48,24,20)c(32,40,20)+s(32,40,28)*t(24,48,20)*
s(48,32,20)t(40,40,20)s(32,40,20)*-c(32,32,28)*
c(24,40,20)s(32,32,28)*c(16,48,12)+c(32,40,20)*
s(32,40,28)s(32,32,20)c(40,40,20)s(48,32,20)*+*
s(32,24,28)s(24,24,20)s(40,32,12)--c(32,32,20)*
s(32,48,20)s(48,32,20)s(24,24,12)t(40,16,12)+++
s(32,24,28)t(24,24,20)t(24,48,12)t(32,40,12)++*
s(32,40,20)s(48,24,20)c(24,40,20)-c(40,40,12)+-
t(32,40,28)s(40,40,28)s(32,32,20)+*s(24,32,28)*
t(24,32,28)t(24,40,12)c(40,40,12)+t(32,48,12)--
c(24,16,12)t(32,32,20)c(40,16,12)+s(24,32,12)++
s(48,16,20)s(40,24,28)c(48,16,12)-+s(32,40,20)+
s(48,48,20)t(32,32,28)s(24,40,20)t(24,40,28)*-+
t(32,48,28)s(32,24,28)+t(32,40,28)s(40,24,12)-*
s(24,24,20)s(32,8,12)-s(24,32,20)c(32,24,20)**
s(16,24,20)t(24,48,12)s(24,16,12)+s(16,8,12)--
s(40,32,28)t(24,40,20)s(32,40,20)*-s(32,24,28)*
s(32,40,28)s(32,32,20)-s(16,48,20)+s(16,32,20)-
s(24,24,28)t(24,32,28)*c(40,24,20)+s(48,40,20)*
c(32,32,20)c(16,48,12)-s(32,48,20)-c(48,24,12)-
s(48,40,12)s(16,32,20)+t(40,48,20)-c(40,32,20)-
s(32,32,28)t(48,56,12)s(32,48,12)+-t(24,48,12)+
s(16,32,12)s(48,48,12)+c(24,24,20)t(40,40,20)+*
s(16,32,20)c(24,32,20)s(24,40,20)**s(40,40,20)+
s(32,16,20)t(32,40,28)-s(16,16,12)s(32,24,12)+-
c(32,32,20)t(32,40,28)s(16,32,20)t(16,32,12)--*
c(24,24,20)s(32,40,28)s(32,32,28)*s(48,48,20)--
c(32,32,28)s(24,48,20)t(16,16,12)+t(32,40,28)--
c(24,40,20)s(40,48,20)s(16,48,20)--s(8,48,12)-
s(32,40,28)c(40,40,12)s(24,24,28)s(32,24,28)*+*
s(16,40,12)c(32,32,28)s(32,48,20)s(40,24,28)-*+
s(40,32,28)s(40,24,28)+c(16,40,12)+s(32,48,20)-
s(40,24,20)c(48,48,12)c(40,32,20)+s(24,24,28)**
t(24,32,28)t(32,32,28)s(16,24,12)c(16,32,12)+-*
t(48,24,12)c(40,32,20)c(24,16,12)t(40,24,12)+-+
t(32,40,20)c(24,24,20)s(32,24,28)*s(32,40,12)-+
t(24,32,28)t(32,40,20)t(24,24,20)+s(24,40,12)-*
t(40,24,20)s(32,24,20)s(24,8,12)-c(16,40,12)++
s(32,24,20)s(16,48,20)+t(32,48,20)c(40,32,20)+-
s(32,24,28)t(48,56,12)c(24,40,20)+s(16,40,12)-*
t(24,32,28)s(24,32,12)t(32,48,28)s(16,48,12)++*
s(32,16,20)t(24,40,28)t(24,32,20)s(16,40,20)+*-
t(24,32,20)c(40,40,20)t(40,24,20)t(24,32,28)+-+
s(40,24,28)s(32,24,12)c(16,40,12)+t(32,40,20)--
s(32,16,20)s(40,32,20)-s(48,40,12)+c(48,24,12)+
s(40,40,20)s(32,40,28)c(40,24,20)t(32,32,28)***
s(16,40,20)t(24,24,20)s(32,32,28)t(24,32,28)**+
c(24,40,20)t(16,32,12)-t(32,40,20)*s(24,40,20)*
t(32,16,12)t(32,40,28)s(40,32,28)*t(24,32,28)*+
t(24,48,20)s(32,32,20)c(16,24,12)-+t(32,48,20)-
s(40,24,28)s(32,40,28)t(32,32,28)*t(40,32,20)+*
s(32,48,20)s(32,32,28)s(40,16,12)-*t(32,24,20)-
t(40,40,12)s(8,8,12)t(16,16,12)s(24,40,12)+++
s(24,40,28)s(40,32,28)c(40,32,12)c(24,40,20)+**
s(8,24,12)s(32,16,20)s(40,40,20)-t(32,32,12)++
c(24,32,20)s(48,48,20)c(40,32,20)*c(16,16,12)++
s(40,40,28)s(48,32,12)-c(48,48,12)c(48,16,12)+*
s(40,48,20)t(32,48,20)c(48,16,12)+t(40,16,12)--
t(32,48,28)t(32,24,20)s(48,32,20)s(24,32,20)---
c(24,24,20)s(32,40,28)+s(40,32,20)-s(24,40,20)*
c(16,48,12)t(24,56,12)+s(40,40,20)t(32,40,28)*+
s(32,24,12)s(24,24,12)s(16,8,12)++s(32,16,20)*
s(40,32,20)t(40,40,20)*t(48,24,12)s(16,40,20)++
t(40,32,20)c(48,48,12)c(32,40,20)+t(32,40,12)-+
s(16,32,20)c(40,40,12)+t(32,32,28)*c(32,24,20)*
t(24,32,20)s(48,48,20)s(32,40,20)t(48,40,12)+*-
s(32,48,20)t(40,40,12)-t(32,40,28)*s(24,24,20)+
s(32,24,28)t(24,32,12)t(48,24,12)+-c(32,32,28)*
c(24,24,20)s(24,40,28)t(48,32,12)+t(16,40,12)-*
s(24,48,12)t(40,16,12)+t(32,24,12)s(16,32,12)+-
s(16,40,20)s(24,24,20)s(48,32,20)--s(16,24,20)+
s(48,16,20)s(48,24,20)*c(32,24,20)t(40,40,20)-+
s(24,16,20)c(32,32,12)+c(24,32,20)*t(32,48,20)-
s(16,40,20)c(40,40,12)s(16,40,12)c(24,24,20)++*
c(24,24,12)s(32,48,20)t(32,48,28)c(32,32,28)**+
c(24,24,20)s(16,32,20)s(32,40,12)-*s(40,40,12)+
t(24,40,28)c(32,32,28)s(24,24,28)s(32,16,12)--+
c(40,32,20)s(40,24,28)*s(24,40,20)s(16,48,20)--
c(40,40,20)s(40,32,28)s(48,48,12)-t(40,32,20)**
s(32,40,28)c(32,32,20)c(32,48,12)t(32,40,12)+-*
s(32,24,28)s(24,16,12)-s(24,40,20)t(24,16,12)+*
s(40,8,12)t(24,32,28)+s(24,24,28)s(24,32,28)**
s(24,24,28)c(40,24,20)+s(40,32,20)*t(24,16,12)+
s(32,24,28)t(32,24,12)-c(24,32,20)+s(48,32,20)*
c(48,24,12)s(16,40,12)+c(32,32,12)-c(32,40,20)+
s(32,48,20)t(32,32,28)s(40,24,12)-t(32,32,20)+*
s(24,16,20)c(24,32,20)s(40,32,28)*s(40,24,12)-+
s(32,24,28)s(32,16,20)t(24,40,20)+s(24,8,12)-*
c(40,32,20)s(40,24,20)*s(24,24,28)c(40,32,20)**
s(24,16,20)s(40,24,20)s(48,40,20)c(32,32,20)*+-
c(24,40,20)s(16,32,20)c(32,24,20)s(48,48,20)+*-
s(40,32,20)s(32,32,28)s(48,32,20)s(24,40,12)+**
t(24,32,28)c(32,32,20)s(40,32,28)*s(24,32,28)**
s(16,24,20)s(24,40,28)s(32,40,20)t(24,24,12)-*-
t(24,56,12)c(40,40,20)s(24,24,20)+s(32,48,12)-+
c(32,16,12)s(24,32,12)+s(16,40,20)t(24,24,12)-+
s(32,40,20)s(40,40,12)-s(8,32,12)s(24,32,20)++
s(32,40,12)s(48,48,12)+t(24,40,12)-s(40,32,28)*
s(32,40,28)c(32,16,12)t(24,48,28)+*s(40,48,20)-
s(32,40,28)s(16,48,12)s(40,48,12)+c(32,40,20)*-
c(32,24,20)s(24,40,28)c(24,32,12)--t(24,24,20)*
s(24,24,20)s(32,16,20)s(40,24,20)*+c(32,32,20)*
s(32,32,20)s(24,16,20)c(24,24,20)++t(40,40,20)-
t(32,48,28)s(40,40,28)*t(24,32,12)s(48,40,20)+*
s(32,40,20)c(24,32,20)*s(16,16,20)s(16,48,12)+-
s(48,16,20)c(40,24,20)+s(32,8,12)s(48,24,20)+*
s(32,16,20)s(24,24,28)+c(32,16,12)-c(24,24,20)-
c(40,40,20)t(16,32,12)+s(32,40,20)c(24,24,12)+-
c(24,32,20)s(40,40,20)-t(24,48,28)c(40,32,12)+-
c(40,40,20)s(32,32,28)s(32,48,20)+*t(32,48,28)*
c(24,24,20)s(24,24,28)s(32,24,28)*s(40,24,20)*-
s(40,16,20)t(24,56,12)s(32,24,20)+*c(16,32,12)+
c(40,32,20)s(32,24,20)s(40,32,28)s(40,48,20)-**
s(40,16,12)s(24,48,20)c(40,24,20)-+s(32,8,12)+
c(32,40,20)s(24,32,28)c(24,32,12)-c(32,32,20)*-
s(32,40,20)s(40,32,28)*s(40,40,20)+s(24,32,28)*
c(32,24,20)s(40,32,20)c(16,48,12)+s(24,48,20)-*
c(32,32,20)s(16,40,20)c(32,32,28)**s(24,24,20)+
s(48,24,12)t(24,32,28)+s(40,48,12)t(24,32,20)+-
c(32,48,12)s(16,48,20)+s(24,8,12)t(24,32,28)+*
s(40,40,28)c(32,32,20)c(24,32,20)s(24,40,12)-**
s(24,32,12)s(40,16,20)+s(24,32,12)-s(40,32,20)-
s(16,8,12)t(32,48,28)s(32,8,12)+s(32,40,20)++
s(32,40,20)c(32,32,28)s(40,32,20)-s(16,48,20)*+
c(24,32,20)s(48,32,20)s(40,24,28)+*c(48,24,12)+
s(16,48,20)c(32,32,28)s(24,24,28)s(32,40,28)---
s(48,40,20)t(32,48,20)c(24,32,20)+c(40,32,20)-+
s(24,24,28)s(8,16,12)-s(24,24,20)s(16,40,20)-*
s(48,24,12)t(48,16,12)+s(40,32,20)t(32,48,20)-+
c(32,40,20)t(24,48,28)s(32,24,20)s(32,40,28)*-*
c(24,32,20)s(24,16,12)-s(24,40,20)*t(32,32,28)*
s(24,32,28)s(40,40,12)s(48,48,12)++t(32,48,28)-
t(24,24,12)t(16,56,12)s(40,40,20)++s(16,32,20)-
c(24,40,20)c(16,40,12)s(24,8,12)+c(32,16,12)--
s(48,48,20)s(40,32,28)+c(32,32,20)c(32,24,20)**
s(32,32,20)t(32,48,28)*s(8,48,12)+s(40,40,28)*
t(32,24,20)t(48,24,12)s(16,16,20)+s(40,32,28)*+
s(48,24,20)c(24,32,20)c(24,24,20)t(16,48,12)++-
s(40,32,20)s(8,40,12)s(16,48,12)++s(32,24,20)-
s(48,32,12)s(32,24,12)+c(40,24,20)s(40,40,28)**
c(48,40,12)c(32,16,12)+t(16,24,12)t(40,48,20)++
s(32,32,28)s(16,32,12)t(40,40,12)+-t(24,48,28)+
c(32,32,20)c(48,40,12)-s(24,40,20)+t(24,48,20)*
s(48,24,12)s(24,16,12)+c(32,24,20)s(16,40,12)+*
c(32,24,20)t(24,48,20)s(40,16,20)+c(48,16,12)-+
t(24,48,20)s(16,32,12)-s(16,24,20)c(40,32,20)-+
s(32,24,20)t(32,32,28)*t(48,16,12)s(16,48,20)+-
s(40,16,20)s(40,16,12)-t(48,16,12)-t(32,40,20)-
s(40,32,28)s(24,24,28)s(24,40,20)s(32,32,20)**-
s(32,40,12)s(16,16,20)+c(48,40,12)s(32,24,28)+*
c(40,16,12)s(40,40,12)+c(40,24,12)s(32,40,20)+*
c(32,40,20)c(48,40,12)c(16,24,12)+t(32,48,28)--
s(40,24,20)t(16,24,12)t(32,56,12)s(48,32,20)++*
c(32,40,20)c(32,48,12)-c(24,24,12)c(40,32,12)+*
s(32,32,28)s(40,24,28)s(24,24,20)*-s(40,40,20)*
t(40,24,12)c(24,32,20)t(48,48,12)+t(32,40,20)-+
s(16,24,20)s(40,48,12)+s(40,32,20)+s(40,48,20)-
s(16,8,12)s(32,32,28)+s(48,16,20)c(24,32,12)+*
s(24,24,12)s(24,16,20)s(32,16,20)*c(32,24,20)*+
s(8,40,12)s(48,40,12)+s(40,40,28)s(32,48,20)--
s(24,40,28)s(40,32,20)*s(48,40,20)+s(24,40,28)*
s(40,16,20)t(24,32,28)+c(40,24,20)c(48,24,12)--
t(32,24,20)c(32,32,20)t(24,24,20)+s(40,24,20)**
c(32,24,12)c(40,32,12)+t(24,48,20)+t(24,40,28)*
c(32,24,20)c(32,32,12)-c(32,32,20)s(32,48,12)-*
c(40,40,20)t(32,48,12)-s(40,40,28)c(40,32,20)**
s(40,40,20)s(40,32,20)*t(32,32,12)s(8,48,12)++
c(40,32,20)t(32,40,28)*s(48,40,20)s(48,48,12)--
c(24,40,20)s(48,24,20)-s(24,32,20)c(32,40,20)+*
t(32,32,28)s(16,32,12)-c(32,40,20)t(40,48,20)*-
t(40,32,20)c(40,40,20)t(24,48,28)t(16,40,12)-*-
s(16,32,20)s(32,32,20)c(32,48,12)s(24,24,12)+*-
s(24,16,20)c(40,24,12)-s(32,8,12)-s(24,16,12)+
s(24,32,28)t(40,32,12)s(40,48,20)+c(32,32,20)**
c(40,32,20)c(32,32,20)*s(24,40,28)s(24,24,12)-+
s(40,40,28)s(16,48,20)s(24,48,12)-+s(16,40,20)-
s(24,24,28)s(32,40,20)s(40,24,12)-t(32,32,28)+*
s(16,24,12)s(40,32,28)s(48,16,20)-+s(32,24,20)*
c(24,24,20)t(24,48,20)+c(32,24,12)-c(24,32,20)+
c(16,24,12)s(16,32,20)s(40,24,28)-+c(24,40,12)-
s(40,48,20)t(40,48,12)-s(48,16,20)+t(40,40,20)-
s(48,24,20)c(40,40,20)+t(32,32,12)-s(48,16,20)*
s(40,32,28)s(24,32,28)*s(40,40,20)*s(16,40,12)+
c(24,32,20)s(24,16,12)-t(40,16,12)+s(40,16,20)-
s(32,16,20)t(40,32,20)+s(24,8,12)-t(32,32,20)*
t(32,32,28)c(40,32,12)c(24,40,20)+c(16,24,12)-*
s(40,40,28)t(24,40,12)s(48,16,12)+-t(32,48,20)*
t(40,40,20)s(32,16,20)s(24,48,12)+t(24,40,28)-+
s(32,24,28)s(40,40,28)s(48,24,20)*-c(24,24,20)*
s(32,24,28)s(32,32,20)t(40,32,20)+-t(24,32,20)+
c(24,40,20)s(24,48,20)*s(16,24,12)+t(32,32,20)-
s(40,40,20)c(32,24,20)+s(32,24,12)-s(40,40,28)*
c(40,40,20)s(40,32,28)s(32,32,28)*t(40,16,12)-*
s(40,40,28)s(32,40,28)+c(24,40,20)s(40,40,20)--
s(40,32,20)t(32,40,20)s(24,32,28)c(32,32,20)**-
s(40,48,12)s(24,40,28)s(32,32,20)*+t(32,32,28)*
c(32,32,20)s(16,24,12)s(48,48,12)+-s(24,24,28)*
s(32,24,28)s(40,40,28)s(24,32,20)+*t(32,40,28)*
s(24,48,20)s(40,32,20)t(32,32,28)*+t(24,32,20)*
c(48,40,12)c(40,24,20)s(8,16,12)t(32,16,12)+++
s(16,16,20)s(40,24,12)+c(24,24,20)*c(16,24,12)-
c(24,40,20)s(40,32,28)s(48,16,12)-*s(24,16,20)-
c(24,32,20)s(40,40,20)+c(32,40,20)*c(32,24,12)-
c(48,48,12)t(32,40,28)c(24,24,20)*+s(24,32,28)*
t(16,48,12)s(48,40,20)+c(40,40,20)s(40,32,20)**
s(32,32,20)s(48,32,12)+s(32,16,20)s(32,32,20)+*
c(40,24,20)c(24,24,12)+s(40,32,28)s(32,40,20)**
s(48,40,20)t(32,48,12)s(48,16,12)+-s(32,16,20)-
s(24,24,28)c(24,32,20)*t(32,40,28)-t(24,56,12)+
s(40,40,20)t(24,16,12)+s(40,40,28)*s(32,48,12)-
s(24,40,28)s(16,32,20)c(40,40,20)-t(24,32,12)+*
s(40,32,20)s(16,48,20)+t(24,40,28)*c(32,24,20)+
s(40,16,20)s(40,40,28)s(24,24,28)s(48,24,20)+*-
s(16,16,20)s(8,32,12)-s(32,40,20)c(48,40,12)--
s(48,24,20)s(16,16,12)+s(48,16,20)*c(24,24,20)+
c(40,48,12)c(16,16,12)s(40,8,12)+s(48,32,12)++
s(32,24,20)s(32,40,12)c(24,24,20)+s(24,40,28)*+
c(24,40,12)t(32,48,12)+s(16,16,20)s(24,16,20)*+
s(48,16,20)t(24,40,12)s(24,16,20)++c(40,32,12)+
s(32,40,28)s(48,40,20)t(32,40,28)t(24,24,20)-++
s(24,32,20)t(32,48,28)c(16,40,12)-s(16,32,12)+*
s(24,24,12)t(24,32,20)+s(48,48,12)+c(40,32,20)*
s(32,24,28)t(24,32,28)*c(24,16,12)+s(32,24,20)*
c(24,32,20)s(8,48,12)+c(40,32,20)s(16,24,20)-*
s(40,48,20)t(16,24,12)s(48,40,20)+s(32,32,20)+*
s(32,40,28)s(8,8,12)+s(40,32,28)-t(16,56,12)-
s(24,40,20)s(32,24,28)c(24,32,20)-+s(16,40,20)-
s(48,40,20)s(40,24,28)c(40,40,20)*c(24,40,12)-+
c(40,24,20)s(32,32,28)s(40,40,12)-c(16,16,12)-*
s(24,24,28)s(40,40,28)c(24,32,12)--s(32,32,28)*
t(16,24,12)s(8,32,12)c(32,40,12)++s(40,40,20)+
c(40,40,20)t(32,24,20)-t(24,40,28)c(32,24,20)*-
s(16,24,20)s(32,24,20)+s(48,16,20)+t(32,32,28)-
t(16,56,12)s(48,16,20)t(48,40,12)+c(40,32,20)*+
s(32,8,12)s(24,40,20)+t(32,32,28)s(32,40,28)**
c(16,40,12)t(32,40,28)+t(40,48,12)-s(40,32,12)-
c(32,40,20)s(32,16,12)+s(40,40,28)t(24,48,20)+*
s(24,40,28)s(24,16,20)s(16,16,20)s(24,40,28)+*+
s(32,24,28)c(32,16,12)-c(24,40,20)s(40,40,28)*-
t(24,32,28)t(24,40,28)*t(32,32,28)t(40,24,20)-*
s(40,32,20)s(48,40,20)-s(16,40,12)+s(48,32,20)-
s(16,40,20)c(32,32,28)c(24,32,20)-s(24,32,28)-+
s(16,8,12)s(40,32,28)s(16,48,20)-+s(24,24,28)*
s(16,24,20)s(8,8,12)c(48,40,12)t(24,32,12)++-
s(40,40,20)s(48,24,12)+s(32,48,12)-t(24,32,28)-
s(40,40,20)s(32,24,28)*c(16,24,12)+s(40,40,20)*
c(24,48,12)s(8,48,12)s(48,24,20)s(40,24,20)*++
s(40,16,20)s(40,40,20)s(8,16,12)++s(32,8,12)-
s(40,24,20)c(48,24,12)s(24,16,20)+*c(48,32,12)-
c(32,48,12)c(32,32,20)s(48,24,20)t(32,16,12)+*+
t(40,40,20)s(16,40,12)+t(24,40,28)+s(32,40,28)*
s(40,40,20)t(32,48,20)s(40,48,12)t(40,40,20)++*
s(16,24,20)s(32,32,20)t(24,32,20)+s(40,32,28)+*
s(40,16,20)s(16,40,20)+c(16,16,12)+t(40,16,12)-
s(40,48,20)t(32,32,12)s(48,24,20)+t(32,32,28)*+
s(24,40,28)s(24,8,12)t(40,40,20)t(32,40,20)++*
c(24,40,20)c(40,32,12)-c(40,24,20)t(24,32,20)+-
s(40,40,12)s(16,48,20)+s(24,40,28)s(40,32,28)*-
s(24,32,20)c(40,32,20)*c(40,48,12)-c(24,48,12)+
t(40,40,20)s(32,16,20)s(48,24,12)-+c(32,24,20)-
s(32,40,20)c(40,24,20)*c(48,48,12)+c(40,40,12)-
s(40,32,20)t(24,40,28)+t(32,40,20)s(16,24,12)++
c(32,40,12)s(48,40,20)+s(24,48,20)t(48,56,12)+-
s(40,24,20)s(24,24,12)+s(40,8,12)-s(40,40,12)-
s(40,48,20)t(24,24,20)t(32,48,28)s(24,32,20)+*+
s(48,16,20)s(32,32,20)s(32,16,20)-+s(24,40,28)*
s(48,24,20)t(24,48,20)s(32,32,12)-s(40,24,20)+*
t(32,48,28)c(48,32,12)+t(24,40,12)-c(48,24,12)-
s(40,16,20)s(24,32,28)c(40,24,12)s(48,48,20)+--
c(32,40,20)c(24,16,12)s(32,40,20)s(32,48,20)*+-
s(40,24,20)s(16,16,12)+t(24,32,12)s(8,48,12)++
t(32,56,12)c(32,32,20)s(24,40,12)-+s(48,24,20)-
s(32,16,20)c(24,32,12)+c(32,32,20)*t(32,32,28)*
t(32,24,20)s(48,48,12)s(16,48,20)++c(32,32,28)*
s(40,24,28)t(32,32,28)c(24,32,12)-s(40,32,20)*-
c(48,40,12)c(24,32,12)c(24,16,12)++s(24,16,20)-
s(32,24,20)t(40,48,12)+s(32,32,28)*c(32,32,20)*
s(24,32,20)c(24,40,20)*s(40,32,28)*s(24,40,12)+
t(32,32,28)s(32,48,12)c(40,40,12)++t(40,48,20)+
t(24,32,20)t(40,32,12)t(32,32,28)s(40,40,12)-+*
c(40,48,12)s(48,16,20)+s(40,32,12)+t(40,32,20)*
s(40,32,28)s(24,40,28)s(32,40,20)t(16,40,12)-**
c(24,24,20)s(32,24,20)s(24,16,20)--s(48,40,12)+
t(24,48,28)s(24,32,12)-s(48,24,20)+s(32,32,20)*
s(32,40,28)c(32,40,20)s(24,16,12)++s(40,24,28)*
c(32,32,28)c(32,32,12)-t(32,48,20)s(40,48,20)*-
c(24,24,20)t(16,16,12)-t(16,40,12)-c(48,16,12)+
c(40,40,20)s(32,24,20)t(24,32,28)s(24,40,28)*-+
s(24,40,28)s(40,40,28)c(16,32,12)+*s(16,48,20)*
c(24,24,20)s(24,32,12)-c(24,40,20)s(32,40,28)+*
s(32,16,20)t(40,48,20)+s(40,40,28)s(24,40,12)-*
s(24,32,28)t(24,48,20)+t(32,48,20)c(32,32,12)--
t(24,32,28)s(40,24,28)*c(32,32,28)t(32,48,20)-*
c(24,24,20)s(32,48,20)s(16,40,20)+t(40,40,20)-+
s(32,8,12)t(24,32,28)t(32,16,12)++c(48,48,12)+
s(48,24,12)s(32,40,12)+c(32,16,12)t(48,32,12)+-
s(40,24,28)s(24,40,28)t(16,40,12)-+s(40,40,28)*
c(40,32,20)s(16,24,12)+s(8,24,12)-t(32,32,12)-
c(32,32,28)s(16,48,20)s(24,32,12)-t(24,40,20)+*
s(32,24,28)c(24,24,20)-c(40,24,20)*c(24,24,12)+
s(24,24,28)s(24,16,20)c(24,32,12)-*s(40,32,20)-
t(48,32,12)t(32,48,12)t(16,48,12)++t(32,40,20)-
c(24,48,12)s(48,16,20)s(40,24,28)*s(40,16,12)-+
s(16,24,20)s(32,24,28)*s(40,32,20)c(32,16,12)--
s(32,24,28)c(40,48,12)s(24,32,28)++s(24,24,12)-
t(48,56,12)t(32,40,20)s(32,40,28)c(16,40,12)-*+
s(32,24,28)s(24,40,28)s(32,16,20)--c(32,32,20)-
s(32,24,28)t(32,48,12)s(24,24,12)+s(32,24,20)+*
s(32,32,28)s(40,40,28)s(16,16,12)t(24,32,20)++*
s(40,32,28)s(24,24,28)c(24,32,20)s(32,16,12)-**
s(40,32,20)s(40,24,28)s(32,40,28)*s(24,40,28)*-
s(40,40,20)c(40,40,20)t(48,24,12)-*t(32,16,12)+
t(24,32,28)s(24,16,12)-s(24,32,20)+t(24,24,20)*
s(32,32,20)t(24,56,12)t(40,24,20)+t(32,48,12)+*
c(24,32,20)c(40,40,20)s(48,16,20)++t(24,40,20)-
s(40,16,20)s(32,24,20)-t(32,40,20)+s(32,40,20)*
s(32,40,28)s(40,32,28)t(24,24,20)-s(40,24,28)**
s(24,48,20)t(24,48,20)c(32,24,20)+s(40,40,28)*-
s(40,40,28)t(32,32,28)s(32,8,12)s(16,24,12)++-
t(24,40,12)s(32,40,28)c(16,40,12)-c(24,40,12)-+
s(48,8,12)t(24,24,12)+s(32,32,12)+s(32,24,28)*
s(8,8,12)c(24,24,12)t(32,32,28)c(40,24,20)*++
c(40,48,12)t(24,40,28)s(32,24,12)-+c(32,24,12)+
s(40,16,20)t(24,56,12)c(40,16,12)+s(24,32,20)--
s(16,32,12)s(32,40,20)s(8,16,12)s(32,48,20)+*+
s(48,32,20)s(32,32,20)c(40,24,20)s(32,48,20)---
s(8,48,12)c(40,32,20)t(32,48,20)t(32,32,20)--+
s(32,24,28)c(32,24,20)s(40,32,28)c(48,24,12)---
c(32,32,20)c(24,32,20)t(24,32,28)**s(24,16,20)+
s(24,32,20)s(24,40,20)t(40,24,20)-t(16,32,12)--
c(32,32,20)c(32,32,12)c(24,40,12)+-c(40,32,20)*
c(24,40,20)s(40,32,20)c(40,40,20)*+c(16,48,12)-
c(40,40,20)c(40,32,20)s(32,40,12)-t(16,16,12)+*
s(32,16,12)t(40,32,20)t(48,24,12)-+s(48,40,20)-
s(32,32,20)s(24,48,20)-s(32,16,20)s(24,24,20)+*
s(24,24,28)t(32,40,28)t(40,48,20)*t(32,16,12)+-
c(48,40,12)c(48,48,12)+c(48,24,12)s(32,16,20)+-
c(40,24,12)c(32,40,12)+s(48,16,12)s(16,24,20)++
s(24,40,28)c(32,32,20)s(40,16,20)t(48,24,12)--*
s(24,32,28)s(48,24,20)c(32,24,20)s(40,32,20)*+*
s(32,16,20)c(32,24,20)*t(40,32,20)-t(32,32,12)+
c(32,32,28)c(48,16,12)-s(16,48,20)*s(40,48,20)+
t(24,40,28)s(24,40,20)s(8,32,12)+*c(24,32,20)*
s(48,40,20)c(24,32,20)+s(8,16,12)+s(32,24,28)-
s(32,48,20)t(40,56,12)s(40,24,28)t(40,40,20)-+-
s(16,48,12)s(32,40,28)s(24,48,20)*+c(40,48,12)-
s(24,24,28)t(16,32,12)-s(24,24,28)s(24,40,28)**
s(32,32,28)s(40,32,20)s(24,16,20)-t(24,40,28)+*
s(24,24,20)t(32,24,20)t(16,40,12)+c(40,16,12)+*
s(24,24,28)c(24,32,12)-s(16,8,12)-s(40,24,12)-
s(32,40,28)c(40,32,20)s(24,24,12)-s(16,40,12)+*
s(16,16,20)c(40,32,20)s(8,8,12)+s(32,48,20)*+
s(24,24,28)s(16,32,20)s(16,40,20)*s(40,32,28)+*
s(16,32,20)t(24,48,28)t(32,40,28)*+s(32,48,12)-
s(32,40,28)s(24,24,20)t(40,48,20)+t(24,32,12)-*
c(24,40,20)s(40,24,28)t(32,40,20)++s(40,24,20)-
t(40,32,20)s(40,24,28)c(40,32,20)-+s(40,40,20)*
s(16,24,12)s(8,40,12)s(24,32,20)+t(24,40,28)*+
c(24,32,20)c(32,32,20)*t(16,24,12)-t(24,40,20)*
c(24,40,20)s(24,40,28)s(40,40,28)--s(48,32,12)+
s(32,40,28)s(24,40,20)c(40,32,20)*s(16,16,20)+*
s(24,24,28)t(40,40,20)s(40,48,20)*-s(24,24,12)-
s(32,32,28)s(24,8,12)t(32,32,28)+s(24,32,20)+*
s(40,16,20)c(32,32,20)s(40,40,20)s(48,24,12)+*-
s(16,40,12)t(32,24,20)+s(32,48,20)c(40,40,20)*-
t(32,48,28)s(40,48,20)t(40,32,12)+t(24,40,28)-+
s(40,40,28)t(40,40,20)-s(32,24,12)-t(40,48,20)-
t(48,48,12)t(32,16,12)+c(24,32,20)s(24,24,28)++
s(32,24,12)s(48,24,20)s(24,40,28)s(32,40,28)+-+
t(48,56,12)s(40,32,28)+c(32,24,20)+s(48,24,20)*
c(48,24,12)t(32,32,28)c(32,40,20)t(24,32,20)-*+
t(32,24,20)t(32,40,28)s(32,32,28)*+c(24,24,20)+
t(16,40,12)t(40,48,20)+s(32,40,20)s(24,16,20)+*
c(24,40,20)s(16,40,20)*c(24,32,20)s(24,24,12)-*
s(24,32,20)s(48,24,20)-s(40,16,20)+c(48,32,12)+
c(40,40,20)s(40,40,20)c(32,32,20)c(40,24,20)-+*
s(24,24,20)s(40,16,20)t(32,40,28)-c(40,24,20)*-
c(32,32,20)c(24,48,12)+c(32,24,12)-t(16,32,12)-
s(24,24,20)t(24,40,28)s(48,32,20)+c(40,24,20)*-
s(32,32,20)t(24,56,12)+t(32,32,12)-t(16,40,12)-
s(16,24,20)t(24,40,20)+s(32,40,20)*s(16,24,12)-
c(32,32,28)s(24,40,28)*c(32,40,20)+s(40,24,20)*
t(24,40,28)s(24,48,12)-s(48,40,20)c(32,32,20)*-
s(16,16,20)s(48,40,20)t(24,40,28)c(16,40,12)-+-
s(16,48,20)s(24,40,28)*c(24,40,20)s(24,24,20)*-
t(24,32,28)s(32,16,20)+c(16,32,12)-s(16,16,12)-
s(24,40,28)s(40,40,28)*t(40,24,20)-s(40,48,20)*
s(24,32,20)s(32,40,28)c(24,24,20)+s(40,32,20)-*
t(32,48,20)s(8,16,12)+s(32,40,12)-t(24,32,12)+
s(8,24,12)c(32,16,12)t(32,40,12)++c(32,24,12)-
s(24,16,20)s(48,24,12)t(32,32,20)+s(32,40,28)*-
s(8,24,12)t(24,32,28)+s(40,40,20)t(24,48,12)-+
s(24,48,20)s(40,40,28)*s(40,24,20)+s(40,40,28)*
t(16,16,12)c(40,24,20)t(48,16,12)-t(40,40,12)-+
s(16,40,12)c(32,24,20)t(40,32,20)t(32,32,28)**+
c(40,40,20)s(32,48,20)t(48,32,12)c(40,40,12)+--
s(40,40,20)c(40,24,20)*t(48,16,12)+s(24,16,20)-
c(32,32,28)s(24,24,28)-s(24,40,28)*s(24,32,20)+
s(16,24,20)s(16,16,12)-s(24,24,12)+s(16,32,12)-
s(48,16,12)s(40,40,28)s(48,16,20)-s(32,32,20)-+
c(32,32,20)s(48,40,12)c(24,24,12)++s(16,40,20)*
c(40,40,20)s(48,16,20)c(40,32,12)-s(32,32,28)+*
s(24,48,20)s(40,40,20)+c(40,48,12)-c(32,40,12)-
s(40,40,20)t(40,48,12)s(32,32,20)+s(16,32,20)-*
c(40,40,20)s(32,24,28)t(32,40,20)s(48,16,12)+-+
s(48,16,20)t(24,56,12)+s(32,32,20)s(40,40,28)*-
t(24,40,28)s(24,32,28)t(24,32,28)s(32,24,28)*--
t(32,48,28)s(48,48,12)-t(24,32,28)c(48,40,12)-+
s(24,32,20)c(32,32,20)s(32,40,12)-s(40,16,12)-*
s(40,24,20)s(40,16,20)c(48,24,12)+*c(40,32,20)*
s(16,24,20)s(32,32,28)+c(40,32,20)s(24,48,20)--
c(24,40,20)s(24,32,20)c(24,16,12)+*c(32,24,12)-
s(32,32,20)t(32,48,12)t(32,32,12)+-s(48,48,20)+
t(40,40,12)s(24,48,20)c(24,40,20)*s(40,24,20)-+
s(16,16,12)s(48,32,20)+t(24,24,20)-s(32,24,20)+
s(40,16,20)s(48,16,12)-s(24,16,20)*s(40,48,20)+
s(48,24,20)s(24,48,12)+s(40,32,28)+s(16,40,20)-
s(48,32,20)s(16,32,20)+s(48,32,20)-c(32,24,12)-
t(24,48,20)s(32,40,20)+t(32,56,12)-s(32,32,20)*
c(40,32,20)t(48,32,12)-t(40,24,20)t(24,32,20)-+
s(48,32,12)s(32,24,12)s(16,40,12)+t(32,32,28)*+
s(32,24,28)s(16,24,20)*c(32,24,20)c(40,24,20)*+
t(24,32,28)s(24,16,20)s(40,32,28)+*c(40,40,20)*
c(40,48,12)s(32,16,20)s(16,24,20)-s(48,16,12)-+
t(16,48,12)s(40,24,28)s(48,40,12)-s(16,24,12)++
c(32,40,20)s(24,16,20)-c(40,32,20)t(32,40,12)--
s(40,40,28)s(24,32,28)*c(32,32,20)t(24,24,12)-*
c(40,32,12)s(48,32,20)s(48,48,20)s(16,40,12)+-+
s(16,24,12)s(24,48,20)+t(24,48,20)s(16,24,20)+*
c(24,32,20)s(32,48,20)s(40,24,28)-s(24,24,20)+*
t(48,56,12)c(24,32,20)t(40,40,20)c(24,48,12)+-+
t(24,40,12)c(32,32,28)s(24,32,28)-s(24,8,12)-+
c(40,24,20)s(32,16,20)s(24,24,28)s(8,40,12)-**
t(24,40,28)s(24,48,12)-s(32,32,20)s(40,40,20)*+
s(48,24,20)s(48,40,20)s(24,40,28)+*s(32,48,20)+
c(40,24,20)s(32,40,20)+t(32,48,28)c(32,40,20)*-
t(32,48,20)s(24,24,28)t(24,48,12)+t(32,16,12)-+
c(24,40,20)s(40,16,20)+c(24,32,20)c(32,32,12)-*
s(32,8,12)s(24,32,28)s(8,8,12)++s(40,24,28)-
s(32,32,28)s(16,24,20)+c(48,16,12)-s(24,40,20)*
s(40,40,28)s(24,40,28)t(32,40,20)-t(16,48,12)-+
t(24,40,20)s(24,48,12)+t(16,32,12)-c(48,24,12)+
s(8,24,12)t(40,24,12)+c(24,32,20)+t(24,24,20)-
c(24,40,20)s(40,48,12)+s(16,40,12)s(40,40,20)+*
s(16,24,20)c(32,32,28)s(24,48,20)s(40,40,20)+*+
c(40,24,20)s(32,40,20)s(40,48,20)s(40,40,12)---
c(32,24,12)t(24,24,20)t(48,40,12)++c(32,40,20)*
c(24,32,20)s(40,24,20)t(32,24,20)s(32,40,12)+**
s(40,16,20)s(40,40,28)s(16,32,20)t(40,48,20)++-
s(40,40,28)t(32,40,28)+s(24,24,28)s(16,16,12)-*
c(24,32,12)c(24,48,12)+t(24,40,28)*t(16,40,12)-
s(32,16,20)t(40,24,20)t(40,40,12)+s(48,40,12)--
s(48,48,20)t(40,32,20)+c(32,48,12)t(16,16,12)++
s(32,40,20)c(32,32,20)t(32,48,28)*t(24,32,20)+*
s(24,32,28)t(24,16,12)-s(8,16,12)-s(24,48,20)+
c(32,32,20)s(16,8,12)s(24,32,20)+*t(32,40,28)*
c(32,32,28)s(40,32,28)s(40,40,28)+*s(40,24,28)*
s(24,32,28)s(48,16,20)-s(24,24,20)*t(32,48,28)+
t(32,40,20)c(24,40,20)c(32,16,12)c(16,48,12)+*-
c(40,24,20)s(48,48,20)t(40,48,20)*+s(24,40,28)*
c(40,32,20)t(40,40,20)s(48,48,20)+c(32,32,28)**
t(24,40,12)s(40,48,20)s(40,16,20)+s(32,24,28)*+
c(32,32,20)s(24,40,20)c(24,32,20)t(40,24,20)+**
s(48,32,20)c(24,32,20)-s(40,8,12)t(48,40,12)+-
c(32,32,20)s(48,8,12)c(24,40,20)+*s(40,24,28)*
s(32,32,28)s(24,16,20)-t(40,32,20)-t(24,48,20)+
s(40,16,20)c(16,32,12)+s(16,40,20)c(40,40,12)+-
c(24,32,12)s(24,48,20)t(24,48,28)*+c(24,24,20)-
t(32,40,20)t(24,48,12)+t(48,24,12)+c(48,24,12)-
s(24,48,20)s(48,16,20)s(48,32,20)-+c(24,32,20)*
s(48,24,20)t(32,40,20)+s(16,8,12)c(40,16,12)+-
t(32,56,12)t(24,32,20)+c(24,24,12)t(40,16,12)+-
s(32,32,28)c(40,24,20)-s(40,32,20)-t(24,24,12)+
s(40,48,20)t(24,40,28)t(32,32,28)*s(24,16,12)--
s(40,16,12)s(40,32,12)+c(32,32,20)s(16,24,20)-*
c(24,40,20)s(16,16,12)s(16,32,20)s(32,24,28)*+*
t(32,40,28)t(24,48,28)-s(48,24,20)c(40,32,20)*+
s(40,40,20)t(32,48,28)c(32,32,20)t(16,48,12)+**
t(32,32,28)t(32,16,12)-s(24,32,28)s(24,48,20)*-
s(24,48,20)t(32,48,28)+s(32,40,20)s(40,16,12)+-
s(32,40,20)t(40,32,12)-c(32,40,12)+s(40,40,20)*
s(24,40,20)c(24,24,12)t(32,32,12)+-s(40,32,28)+
s(40,32,28)s(40,24,20)t(24,40,28)+s(40,32,20)*-
c(32,32,28)s(40,32,12)-s(48,16,20)-s(16,40,20)-
s(40,24,28)s(24,24,28)*s(24,32,20)*t(32,56,12)+
s(32,48,20)s(32,40,20)c(32,32,12)-t(48,56,12)+*
s(16,24,20)c(40,32,12)t(24,40,12)+s(16,32,20)-+
s(24,32,28)t(48,32,12)+c(40,32,20)-s(24,48,12)-
c(32,32,28)s(16,16,20)s(24,40,28)+-t(32,40,20)+
s(16,16,20)s(16,40,12)+c(40,24,20)-t(40,40,20)+
t(40,16,12)s(24,48,20)s(32,32,28)*+s(32,40,28)*
s(40,16,20)s(16,40,20)s(24,16,12)t(24,48,20)+++
s(32,40,28)s(16,40,20)s(40,24,28)c(32,16,12)-+*
s(40,48,20)t(16,40,12)+s(48,32,20)c(48,48,12)+*
t(24,48,28)c(48,32,12)+s(48,32,12)-s(32,40,28)*
s(48,48,20)s(24,48,12)t(32,32,28)+s(24,32,12)--
t(40,40,20)s(32,48,20)+t(32,24,12)c(24,40,12)+-
s(40,32,28)t(16,24,12)s(40,24,20)+*s(24,32,28)*
t(48,16,12)s(16,48,12)s(16,24,20)++c(40,24,20)*
c(40,24,20)s(16,16,12)t(48,32,12)+t(32,16,12)+-
s(16,48,20)s(24,32,12)-s(24,40,28)*t(16,56,12)+
t(24,40,28)c(40,16,12)+s(24,24,20)*t(24,32,28)*
c(32,24,20)c(24,32,20)*s(24,32,28)s(48,24,20)-*
t(32,40,20)s(48,24,20)s(24,40,12)s(48,16,20)+*+
c(40,40,20)c(32,40,20)s(40,40,20)t(32,16,12)+-+
s(48,16,20)s(32,16,20)t(24,40,20)+s(24,40,20)*+
s(40,32,28)t(32,48,28)-c(48,48,12)+s(32,24,28)-
s(32,32,20)s(40,32,20)t(16,48,12)+*t(24,40,12)-
s(24,32,28)t(40,32,20)+s(24,40,28)*s(32,40,28)*
s(32,40,20)s(16,40,12)-s(8,40,12)+s(40,40,28)*
t(24,32,28)t(40,56,12)s(16,24,12)+-c(24,24,20)*
s(32,48,20)s(32,40,28)s(40,40,20)c(32,24,20)*-+
s(40,32,20)t(32,24,20)+s(16,40,20)-t(32,40,28)*
s(32,32,20)c(24,32,20)s(40,40,28)**s(24,40,20)*
t(32,56,12)t(16,56,12)c(16,40,12)++t(24,56,12)-
s(40,24,28)t(24,24,20)c(16,40,12)+*t(40,24,12)-
s(24,40,20)t(16,48,12)-s(48,40,20)-t(24,48,12)+
s(40,16,20)s(40,24,20)s(40,16,12)-s(40,40,20)*-
c(32,24,20)t(32,48,28)s(24,40,12)--s(16,24,12)+
s(24,32,20)c(24,40,20)c(16,24,12)-t(24,48,28)*-
c(32,32,12)t(32,48,20)+c(24,32,20)*t(24,24,12)+
s(48,24,20)s(24,32,28)s(40,24,20)t(48,32,12)-+*
s(40,32,20)s(48,48,20)+s(24,24,28)c(16,16,12)-*
c(24,32,20)s(40,24,28)t(32,40,28)*-t(32,24,20)+
s(24,40,28)s(40,40,20)c(32,24,20)*t(32,16,12)+*
s(48,40,20)s(32,32,12)c(32,40,20)s(24,16,20)-+*
s(48,32,20)t(40,48,20)t(40,32,20)t(32,32,28)*+*
t(24,32,28)s(48,40,20)s(40,48,20)*c(32,32,20)+*
s(32,16,12)c(24,32,20)s(32,48,20)-s(40,16,12)-+
t(24,32,28)s(24,24,20)+s(48,48,20)+c(40,40,12)-
t(32,40,28)s(40,48,12)s(8,48,12)++s(16,40,20)*
s(24,32,28)s(40,32,20)t(32,40,20)-t(48,48,12)+-
t(24,32,28)s(40,24,28)+s(24,24,28)-c(24,40,20)+
s(24,48,20)t(32,40,28)s(24,24,28)*+t(40,48,20)-
s(40,48,20)c(40,32,20)*c(24,24,12)+t(40,24,20)-
t(40,24,20)t(24,32,20)s(40,32,20)+t(24,48,20)+*
s(32,48,20)c(32,32,28)t(16,40,12)s(16,24,12)+-*
s(32,32,28)s(40,40,20)s(40,48,20)**s(32,40,20)*
s(24,24,20)s(40,32,28)c(16,24,12)+s(16,32,20)**
t(24,48,28)t(24,56,12)s(16,16,20)+-s(16,40,12)-
c(32,32,28)c(32,24,20)s(40,48,20)+c(24,32,12)--
c(24,24,20)s(48,48,20)c(40,48,12)-t(48,32,12)-+
t(32,32,28)c(32,24,20)s(40,48,20)-*s(24,16,12)-
t(48,24,12)s(16,32,20)s(32,32,28)*+t(40,40,20)-
c(32,40,20)s(40,24,12)s(24,16,12)+-s(48,40,20)+
s(40,48,20)c(24,48,12)s(40,32,20)s(24,24,12)-+*
t(32,40,28)s(24,16,20)t(32,40,20)+c(32,24,20)**
s(40,16,20)s(32,40,28)t(40,32,20)*-c(32,32,20)-
s(32,40,28)s(48,32,20)*t(32,40,28)+t(24,40,20)*
c(16,32,12)s(32,16,20)+t(40,40,20)s(48,16,20)+-
c(24,24,20)c(32,32,20)s(32,24,20)s(16,24,20)*-*
s(24,24,28)s(32,48,12)+c(40,24,20)-s(24,32,12)-
s(32,32,28)t(24,48,28)t(24,24,20)s(32,40,20)+*-
t(24,32,28)c(24,40,20)c(24,32,20)c(40,48,12)-*+
c(40,24,20)s(40,32,20)c(24,40,20)+*s(24,40,28)*
s(40,24,20)s(24,40,20)-s(32,32,28)+t(24,40,20)-
t(24,32,28)t(32,48,12)c(24,16,12)+-s(24,40,20)*
s(24,40,28)s(32,24,28)*s(40,24,28)+c(32,40,20)*
s(40,40,28)c(32,32,20)t(32,40,28)c(24,40,12)--+
c(24,40,20)t(48,16,12)t(32,40,20)+c(48,16,12)+*
s(48,40,20)t(32,48,28)t(32,32,20)-c(48,32,12)+*
c(32,24,20)s(40,16,20)c(32,32,20)*s(48,32,12)+*
s(32,40,28)s(40,32,20)s(40,40,12)--c(48,24,12)+
s(32,24,20)t(24,48,28)t(24,24,20)+*t(24,24,20)+
c(32,32,12)t(32,48,20)+s(16,24,12)+c(24,48,12)-
c(32,24,20)s(48,48,20)c(32,40,20)t(24,24,12)-*-
s(48,16,20)s(40,32,20)s(48,24,12)-+t(32,32,28)-
t(24,48,28)c(24,32,20)*c(32,32,12)+s(48,48,20)-
s(32,24,28)t(32,40,20)-c(24,32,20)c(32,16,12)+-
s(32,16,20)c(40,24,12)+s(40,40,28)-s(32,32,20)-
s(48,40,20)c(32,40,12)+t(32,40,28)+s(24,40,28)-
s(32,24,20)s(48,32,12)t(24,24,20)++s(24,32,20)-
s(40,40,12)t(32,40,20)c(32,48,12)++s(32,40,20)*
t(24,48,28)s(24,40,20)t(24,32,28)s(24,48,20)---
s(40,40,28)s(24,40,20)-s(40,24,28)*c(24,16,12)-
s(32,24,28)t(24,32,20)-s(16,48,20)+s(16,40,12)-
s(48,48,12)c(40,32,20)s(48,24,20)s(24,32,28)--+
s(32,32,20)s(40,24,20)*t(24,24,12)c(16,24,12)++
s(40,32,28)t(40,24,12)-t(40,48,12)-c(24,48,12)-
s(40,16,12)c(40,32,12)c(32,32,12)++t(40,32,12)-
s(40,24,20)s(32,32,20)c(16,32,12)++c(16,48,12)+
s(32,32,28)c(24,24,20)*s(24,32,28)s(16,24,20)*-
c(32,40,20)t(24,40,28)+c(48,40,12)+s(48,48,20)*
s(48,40,20)c(32,32,20)s(24,40,12)s(24,48,12)+--
t(32,32,28)s(32,48,20)+t(24,32,28)t(32,32,12)--
t(24,48,20)t(32,32,28)c(16,16,12)+c(40,24,20)*+
s(32,40,20)t(24,48,12)t(48,32,12)++t(40,40,20)-
c(40,24,20)c(24,40,12)t(32,32,20)c(32,24,12)++*
c(40,48,12)s(40,24,28)+s(16,32,20)t(32,16,12)+*
c(40,32,20)c(32,32,20)c(40,24,12)-s(48,48,12)+*
c(24,32,20)s(24,24,28)s(16,24,20)--t(40,24,12)+
s(32,24,20)t(32,32,12)c(40,16,12)+*c(40,40,20)+
s(24,24,28)s(40,32,20)+s(40,32,28)*c(40,40,12)-
s(32,40,28)t(32,48,12)-c(40,24,12)s(24,24,12)+*
t(48,56,12)t(32,40,28)+s(32,40,20)t(40,48,20)-*
s(24,48,20)c(24,24,20)s(16,40,20)*+s(48,40,12)+
s(24,24,20)s(40,16,12)-s(16,16,20)s(24,24,12)--
c(32,32,28)s(32,32,12)-s(40,40,28)*s(32,32,28)*
s(48,40,20)t(16,40,12)+c(32,32,28)s(32,16,20)-*
s(48,24,20)t(24,48,28)s(24,32,28)-+t(40,24,20)*
c(24,24,20)s(16,40,20)t(24,40,12)--t(24,32,28)*
s(16,32,12)s(24,40,20)t(32,40,28)*s(40,32,28)++
s(48,24,20)t(32,48,28)-s(32,40,28)s(32,24,20)*-
t(32,40,20)s(16,48,20)c(32,32,20)t(40,24,12)-+*
s(24,40,28)c(32,48,12)-s(32,16,20)-s(24,8,12)+
t(48,16,12)s(40,48,12)t(24,48,28)+c(48,32,12)++
s(48,16,20)c(32,24,20)*t(32,40,28)s(40,48,12)-+
s(40,16,12)t(24,32,28)s(32,32,20)*s(24,40,20)*+
t(24,32,20)t(40,48,12)+c(32,40,12)+s(16,48,12)+
c(40,40,12)s(16,48,20)t(32,56,12)++s(32,40,28)-
t(32,32,28)c(40,40,20)s(8,8,12)t(24,32,20)+-*
s(24,40,28)t(16,40,12)-s(16,32,20)t(24,40,12)-+
c(32,40,20)c(40,32,20)*t(40,48,20)-t(40,32,12)+
c(24,32,12)t(48,40,12)+s(40,40,20)s(48,48,20)*-
t(24,40,28)c(40,32,20)t(40,32,20)-s(24,16,20)+*
c(32,32,28)c(24,40,12)s(16,24,20)+c(40,24,20)--
s(40,16,20)s(32,32,12)-s(32,32,20)-t(24,24,20)+
s(16,24,12)c(40,24,12)+c(24,24,12)+s(32,40,28)*
t(32,48,28)c(24,24,20)s(32,24,28)t(32,40,28)**+
s(40,48,20)t(40,24,12)+t(32,16,12)+t(24,40,20)-
s(32,32,28)t(40,24,12)-s(32,24,20)s(32,40,12)--
t(32,48,28)s(48,48,20)c(24,40,20)+s(16,40,12)-*
t(32,40,28)t(24,40,28)s(24,40,20)s(24,24,12)-**
s(40,24,28)s(48,24,12)-t(32,40,28)-s(32,40,12)+
t(24,32,28)c(24,32,20)*s(24,40,28)*t(32,32,12)-
c(24,40,20)c(32,32,28)s(32,32,28)-+s(32,48,20)-
s(32,32,28)s(24,40,28)t(24,48,28)-*s(24,24,12)+
s(32,48,20)s(16,40,20)s(48,48,20)+c(16,32,12)-*
s(16,16,20)t(32,40,28)s(8,8,12)t(32,56,12)++-
s(32,24,28)t(24,32,20)-t(16,32,12)+c(32,32,20)*
s(24,24,12)c(24,40,12)+s(40,40,12)-t(24,48,12)+
c(32,32,28)s(16,32,20)*s(24,16,20)-t(32,24,20)+
s(32,24,20)s(32,40,12)-t(40,24,20)s(16,40,20)++
c(24,32,20)s(32,32,12)t(48,48,12)c(24,48,12)++-
t(24,56,12)s(16,16,20)c(24,24,12)++s(48,40,20)+
t(32,24,12)s(32,24,28)c(40,24,20)s(32,40,20)-*+
s(40,32,20)s(16,24,12)s(40,32,28)s(24,40,28)*+*
s(48,48,20)c(40,40,12)+s(48,8,12)+s(48,32,12)+
s(24,40,28)c(24,24,12)-t(32,48,12)-s(40,24,20)-
s(24,40,20)t(24,32,28)s(16,16,12)-s(40,32,20)--
t(32,32,28)c(24,32,12)t(32,48,12)+s(48,40,20)+*
t(32,40,28)c(40,24,12)-s(40,40,28)c(24,40,12)-*
s(16,32,12)s(24,48,20)c(48,16,12)++s(24,40,28)*
s(40,48,20)s(24,40,28)s(32,32,20)*-c(32,40,20)+
c(32,24,12)s(40,40,20)c(48,32,12)-+t(24,48,20)-
c(16,16,12)c(24,40,20)+c(24,24,20)*t(24,40,28)*
s(40,32,20)c(32,24,20)s(32,32,20)**s(24,32,28)*
s(32,32,20)s(24,48,12)+s(16,40,12)-s(24,24,20)*
t(24,40,28)s(32,40,28)s(24,32,20)+c(32,24,20)**
s(16,40,12)s(16,24,20)+s(24,40,12)-t(32,24,12)-
c(24,48,12)s(16,8,12)+s(8,8,12)t(40,24,20)++
s(32,32,28)t(32,24,20)s(32,8,12)--s(24,16,20)-
s(16,32,20)t(48,32,12)+s(40,24,28)s(24,40,20)--
s(32,16,20)s(40,32,28)t(32,40,28)*t(24,48,20)-+
s(24,24,20)c(24,24,12)s(40,48,20)s(32,40,20)-+*
t(24,40,28)s(24,48,20)c(40,40,12)-t(32,32,28)--
t(40,24,20)t(24,40,28)s(24,32,20)c(40,24,20)---
c(32,48,12)s(48,40,20)t(24,40,28)s(8,32,12)+-+
s(32,32,28)c(48,16,12)-s(32,48,20)s(48,40,20)--
s(24,40,28)s(24,24,20)t(40,56,12)+c(16,16,12)-+
c(40,40,20)s(24,40,12)-c(40,24,20)t(24,24,20)-*
t(24,48,28)t(32,32,20)t(40,48,20)+c(32,24,20)*-
t(32,48,28)t(32,40,20)s(40,24,28)+*s(24,24,12)-
t(32,32,28)t(24,32,28)*s(24,32,20)c(48,16,12)+*
c(24,24,20)s(32,24,28)s(40,24,28)*+s(48,32,20)*
s(40,40,28)t(24,24,20)c(40,24,12)+-t(24,48,28)-
c(40,40,20)s(40,32,20)*c(40,48,12)-t(24,32,12)-
c(48,40,12)c(32,48,12)+t(24,48,20)c(16,48,12)+-
c(40,24,20)s(32,48,20)t(40,40,20)s(40,48,20)+*-
c(32,32,20)s(40,24,28)s(40,16,20)s(24,24,12)---
s(32,32,20)s(24,24,28)t(16,24,12)-*c(40,24,20)*
c(24,32,20)c(32,40,12)c(48,32,12)+*s(40,48,20)+
s(24,40,28)s(24,48,12)-s(16,40,12)-s(40,40,12)+
t(24,48,28)s(8,24,12)+s(40,16,20)+s(40,40,20)+
s(24,24,28)c(40,32,20)*t(24,32,28)s(16,24,12)-+
t(40,40,12)c(40,40,20)c(48,40,12)t(24,32,28)+-+
c(32,16,12)c(40,32,12)+s(48,32,12)-s(16,32,20)+
c(40,32,20)c(40,40,20)s(40,32,20)c(32,32,20)**-
s(40,32,28)c(40,32,12)-c(32,40,12)-s(32,32,12)+
s(24,32,28)c(24,48,12)-s(40,16,20)s(48,32,20)+-
s(16,24,20)s(24,32,28)t(40,32,20)-s(16,32,20)*+
c(24,24,20)s(16,32,12)s(32,16,20)+*s(24,32,28)*
s(32,24,20)s(24,40,12)-t(24,48,12)+s(32,48,20)-
t(32,40,20)c(24,16,12)s(48,24,20)c(32,16,12)-+-
c(48,48,12)s(24,24,28)s(32,8,12)-+c(24,40,20)-
s(48,24,12)c(24,24,20)+t(32,40,20)-c(40,24,12)-
t(48,48,12)s(24,32,28)s(16,48,20)-t(32,40,12)-+
c(24,24,20)s(40,32,28)+c(16,32,12)-s(32,24,28)-
s(32,40,28)c(32,32,20)+s(16,40,20)t(24,24,20)-+
s(48,16,20)s(16,32,20)+c(32,40,20)c(40,40,12)-*
t(24,48,20)s(24,40,28)c(40,24,20)c(32,40,20)+**
c(32,24,20)s(16,16,20)c(32,24,20)+s(24,48,20)-*
c(40,40,20)s(40,40,28)c(48,40,12)-s(16,24,20)-*
s(24,24,20)s(40,32,20)t(24,48,28)--s(40,16,20)+
c(32,24,20)s(24,32,20)*s(24,40,28)s(32,24,20)**
t(32,32,28)s(48,32,12)s(40,16,12)++c(32,48,12)-
s(40,24,28)t(32,40,28)s(32,48,12)-c(32,32,20)**
s(40,16,12)s(32,32,12)+s(48,40,20)+c(40,40,12)-
s(24,40,28)s(40,24,28)t(32,40,28)*t(40,40,12)+*
s(40,8,12)s(32,24,28)s(40,32,28)s(16,48,20)--+
t(32,32,28)s(16,40,20)t(24,32,20)+*s(40,24,20)+
s(24,32,28)c(40,40,20)t(40,48,20)-c(32,24,20)*-
c(32,32,20)s(24,48,12)t(40,48,20)+-s(24,24,20)*
c(24,32,20)s(16,32,20)*t(32,32,28)*t(40,48,20)+
s(24,32,28)c(32,40,20)*t(24,48,20)t(32,40,12)+*
t(40,32,20)c(24,24,12)-c(32,32,12)+s(32,40,20)*
s(40,24,28)t(32,40,28)-t(40,32,20)t(32,32,28)*-
t(32,24,20)s(40,32,28)s(16,24,20)s(32,24,28)+**
s(24,32,28)s(48,24,12)s(16,32,20)+t(24,24,12)-*
s(32,40,20)c(32,16,12)c(40,40,12)++c(32,32,20)*
t(32,32,28)s(40,16,20)s(48,8,12)-+t(24,32,20)*
s(32,24,20)s(40,24,28)t(32,32,28)s(24,24,28)***
s(32,40,20)s(48,32,20)c(24,24,20)-s(24,48,12)+*
s(8,16,12)c(24,24,20)s(32,48,20)-+s(40,16,12)-
t(40,40,20)c(24,32,20)s(32,32,20)-s(24,40,20)++
t(32,40,20)c(24,32,20)*t(48,48,12)+s(40,32,28)*
c(48,24,12)t(32,32,28)s(24,40,12)-t(16,24,12)++
s(40,24,28)c(48,48,12)s(40,24,20)+*t(32,40,28)+
s(16,40,12)t(40,24,20)+s(16,24,12)+s(8,40,12)-
s(40,40,20)c(24,32,20)*s(32,8,12)+s(16,24,12)+
c(24,40,20)t(40,32,20)s(16,48,20)-s(16,16,20)+-
s(32,24,28)c(32,24,20)c(32,16,12)--c(24,24,20)*
t(16,56,12)t(24,24,20)+s(32,40,28)c(24,48,12)-*
s(48,8,12)s(40,40,20)+t(32,32,28)s(16,16,20)-+
s(40,24,20)s(40,32,28)s(48,24,12)-*c(32,24,20)*
c(32,40,20)s(48,32,12)-s(16,48,12)c(32,40,12)+*
c(24,24,20)c(40,24,20)c(40,40,20)*-s(24,40,20)-
s(48,32,12)t(24,32,28)t(40,32,20)-+t(32,40,28)-
c(32,32,28)s(48,40,12)s(24,16,20)t(32,24,20)++*
t(24,48,28)c(40,32,20)s(24,40,20)+t(32,40,28)-+
c(48,40,12)s(32,32,28)s(16,24,20)c(24,24,20)**+
s(16,16,12)c(32,32,20)+s(16,32,20)*c(48,16,12)+
s(24,32,28)s(24,24,12)-s(16,16,12)-c(32,40,20)*
t(24,16,12)s(48,8,12)+s(24,24,28)+t(32,40,28)*
s(24,40,28)s(32,32,20)s(32,24,28)t(32,40,28)-+*
s(16,24,20)c(24,32,20)c(40,32,20)*-s(32,16,12)-
s(24,48,12)s(24,32,20)t(40,56,12)++s(16,24,20)+
c(32,32,20)t(40,32,20)s(32,16,12)-c(48,40,12)+*
s(24,40,28)s(32,32,28)*c(24,40,20)*c(40,32,12)-
s(40,32,28)t(24,32,28)s(8,40,12)-s(32,8,12)+-
s(24,40,28)s(40,40,20)s(16,16,20)+*s(8,40,12)+
c(40,32,20)s(32,40,28)s(48,8,12)+*c(24,32,20)*
s(40,40,28)s(24,48,20)*s(16,32,12)t(24,24,20)+-
s(48,40,20)s(40,40,20)+c(48,40,12)-t(16,56,12)+
c(24,40,20)t(32,48,28)*s(32,40,20)*t(40,48,12)+
s(32,40,12)t(24,56,12)+t(32,48,12)+t(24,48,28)*
c(40,24,20)t(32,40,20)-t(40,16,12)-s(24,16,12)+
s(24,40,20)t(32,32,28)t(24,48,28)-s(24,32,28)*+
s(40,24,28)s(24,24,28)+c(32,32,12)t(40,48,12)+*
t(32,48,28)t(32,40,12)s(24,48,12)s(40,32,12)++-
s(16,48,20)s(24,24,20)s(32,24,12)--c(24,40,20)*
s(32,40,20)s(24,24,28)t(40,24,20)-s(32,24,20)*+
t(40,16,12)s(32,32,28)c(24,32,20)*s(40,40,20)*+
t(40,56,12)c(16,24,12)+s(32,48,20)t(24,40,28)*+
s(32,40,28)s(40,32,28)s(24,24,20)++s(32,16,20)*
s(24,32,20)t(24,24,12)t(32,32,28)s(40,40,28)*+*
s(40,32,28)s(32,40,20)t(24,32,20)t(32,32,28)*-*
c(24,16,12)c(16,24,12)+s(24,32,20)+s(48,40,12)+
s(32,32,20)t(32,48,28)s(24,24,28)t(32,32,28)*-+
s(16,40,20)s(32,24,20)t(24,24,12)-+s(32,40,28)*
s(48,24,20)s(40,48,20)-s(16,24,20)+c(16,16,12)-
s(32,24,20)c(24,24,20)*t(32,48,12)s(16,48,12)++
c(40,48,12)s(48,8,12)s(32,32,20)++c(40,24,20)*
t(40,24,20)c(32,24,20)s(40,40,28)s(40,32,28)**+
t(24,56,12)s(24,24,28)s(32,16,12)-+s(32,32,28)*
s(16,48,20)s(16,32,20)t(32,32,20)--s(40,48,12)+
s(32,24,12)t(32,40,28)s(24,32,28)*s(40,32,20)*+
s(32,16,20)c(40,40,20)t(32,40,12)c(48,24,12)+*-
s(48,24,20)t(40,40,20)+c(40,24,20)*c(32,32,20)*
s(24,40,28)s(40,24,28)*t(32,48,20)+t(24,32,12)-
t(32,40,28)c(32,40,20)*t(40,16,12)+s(40,24,20)*
t(32,32,12)c(32,48,12)+t(16,40,12)+c(24,32,20)*
s(48,16,12)s(32,40,28)s(24,16,20)-+c(40,24,20)-
c(16,32,12)t(32,48,28)s(32,24,28)-s(16,48,12)-+
s(16,8,12)s(32,40,20)+s(40,24,28)*t(48,56,12)+
s(32,40,20)s(32,48,20)c(32,32,28)s(48,40,20)-*-
s(24,16,20)t(24,56,12)+s(24,40,28)s(24,40,20)--
s(24,32,20)t(24,32,28)s(32,32,28)c(24,24,20)***
t(16,16,12)s(32,40,12)c(24,32,12)+c(32,24,20)*+
t(40,32,20)t(24,48,28)s(40,32,12)+s(48,24,12)+*
s(16,16,12)s(40,16,20)s(32,32,28)*t(32,40,20)-+
s(16,24,20)c(32,24,12)s(16,24,20)t(24,24,20)-++
c(40,32,20)s(16,24,20)s(32,24,12)+-s(48,32,20)*
s(24,40,28)c(24,32,20)*t(32,24,20)c(32,40,12)--
c(40,40,12)t(24,48,28)+t(32,32,28)*s(16,48,12)-
s(40,32,20)s(32,40,28)s(40,32,28)**c(24,16,12)+
c(40,32,20)t(24,24,12)t(40,24,20)s(32,16,12)-+*
c(24,32,20)s(40,32,20)t(40,24,12)-s(40,48,20)*-
t(32,40,28)s(40,24,20)s(24,24,20)t(24,32,28)*--
t(40,48,12)s(8,24,12)+c(40,24,20)t(40,24,12)-+
s(40,40,20)s(16,40,20)s(24,40,20)*s(48,32,20)+*
s(40,24,20)s(24,32,12)+t(32,48,28)s(32,40,28)+*
t(32,40,28)t(16,24,12)s(40,40,28)+*s(24,32,20)-
c(16,24,12)s(32,40,28)s(24,32,28)*s(24,40,20)*+
c(24,32,20)s(24,40,20)*s(8,32,12)-t(32,24,12)-
s(24,32,28)t(32,24,20)t(32,40,28)+s(32,48,20)**
c(32,32,20)t(32,32,20)-s(48,32,20)t(32,32,28)*-
s(40,40,28)s(24,24,20)t(40,56,12)+*s(32,16,12)+
s(32,40,28)s(24,24,20)c(32,32,20)*c(40,24,12)--
c(48,16,12)c(16,32,12)s(40,24,28)s(32,32,28)*++
s(32,24,20)s(48,32,20)s(32,24,28)*+s(24,16,20)+
c(40,24,20)s(24,32,20)s(32,32,20)t(48,48,12)+**
t(40,32,20)s(24,16,12)+c(40,32,12)-s(16,48,12)+
s(32,32,28)t(32,16,12)-t(32,24,20)+c(40,40,20)-
c(40,32,20)c(48,32,12)t(24,24,12)+t(40,32,12)+*
t(16,56,12)c(32,24,20)+s(48,32,20)-s(16,24,20)*
s(24,24,28)c(32,24,20)t(16,24,12)-*s(24,48,20)-
t(48,24,12)t(32,40,20)+s(8,40,12)+s(32,32,20)*
c(40,24,20)s(32,32,28)s(48,16,12)-+s(48,16,20)*
t(24,32,28)s(24,40,28)s(32,40,28)**s(16,40,20)*
s(24,40,28)s(40,48,12)-s(16,16,20)-t(24,40,28)*
s(48,48,20)s(8,48,12)s(24,48,12)++s(48,8,12)+
s(32,24,20)c(16,32,12)t(24,48,20)+-s(8,8,12)+
c(48,16,12)s(40,16,20)s(40,8,12)t(32,48,12)+-+
c(24,32,20)c(32,40,20)s(40,40,28)*t(16,16,12)++
s(32,48,20)c(48,40,12)c(16,24,12)+-s(32,16,12)+
s(32,40,20)t(16,56,12)s(16,48,12)t(16,24,12)+++
s(16,48,20)c(32,40,12)+c(24,40,20)s(40,40,28)**
c(32,32,12)s(8,48,12)+s(48,16,20)+t(32,32,20)*
c(24,32,20)c(16,32,12)s(16,48,12)+t(40,24,20)+-
s(16,48,20)s(32,40,28)c(40,32,12)-c(32,16,12)+*
s(32,32,28)s(24,40,20)*t(16,40,12)-t(32,48,28)*
t(32,40,28)c(40,32,20)*s(24,40,12)s(48,8,12)++
s(40,40,20)c(32,40,20)c(16,40,12)+s(8,40,12)-*
c(32,24,20)s(24,16,12)-s(32,32,28)s(24,48,12)-*
c(16,32,12)c(40,24,20)+s(24,48,20)c(40,24,20)--
t(24,40,28)c(32,32,12)-s(24,32,28)*t(32,48,20)-
c(40,32,20)t(32,32,28)t(32,48,28)*s(8,40,12)++
t(48,32,12)t(32,40,28)t(32,48,28)*+s(48,16,20)-
c(48,24,12)s(32,40,20)s(40,24,20)t(48,24,12)--+
s(32,32,20)t(24,56,12)s(24,40,12)+-t(40,48,20)-
t(40,48,12)s(40,24,12)+s(48,48,12)+c(40,32,12)+
s(40,24,28)t(24,16,12)-t(32,56,12)+s(24,40,20)-
s(48,32,20)c(32,32,12)+t(48,24,12)t(32,48,12)+-
s(24,40,20)t(24,32,28)c(24,32,12)-s(24,48,12)--
c(40,32,20)t(48,56,12)+t(40,56,12)s(48,40,12)+-
t(24,32,28)s(48,24,12)c(32,24,12)++c(32,32,20)*
s(40,48,20)s(48,48,20)t(24,24,12)+*t(32,48,28)*
s(40,32,28)c(24,40,20)*s(32,24,20)+c(32,48,12)-
c(24,32,20)c(32,40,20)t(32,32,28)*t(32,24,12)-*
s(32,32,20)c(32,32,28)t(32,40,20)c(16,48,12)--*
t(24,32,28)s(32,24,20)*s(32,48,20)c(24,40,20)*+
s(40,40,28)s(24,24,28)*s(48,48,12)+s(24,24,28)*
s(48,40,12)s(40,24,28)s(32,40,28)*+c(40,40,20)*
s(8,8,12)t(32,48,28)+s(32,40,28)c(40,32,20)**
s(48,24,20)s(24,40,20)s(40,40,20)*+t(32,48,28)-
s(24,40,28)s(32,40,28)t(32,48,28)**s(24,48,20)*
t(32,40,28)c(24,40,20)*s(32,40,20)*t(32,24,12)+
t(48,32,12)c(24,32,12)+s(16,48,20)s(24,32,28)*-
c(32,24,12)s(40,40,28)t(32,32,28)*c(40,24,20)*+
s(40,24,12)c(48,32,12)+c(24,40,20)+s(16,40,20)-
s(24,24,28)s(24,24,20)c(24,32,20)*s(8,32,12)--
t(40,48,20)s(8,16,12)+t(24,48,28)+s(48,48,12)-
c(40,48,12)s(32,32,20)+t(32,40,12)c(40,24,12)+*
t(32,48,12)t(32,24,12)+c(40,48,12)+s(40,48,20)*
t(32,32,20)s(16,48,20)s(48,48,20)++s(32,48,20)-
t(32,32,28)t(24,16,12)+c(40,32,20)*t(32,40,20)-
s(32,16,12)c(24,24,12)+s(40,40,20)c(40,32,20)*-
s(48,40,20)s(24,40,20)c(32,32,12)s(16,24,12)++-
c(40,32,20)c(24,24,20)s(40,24,20)*-t(40,16,12)+
s(16,40,20)t(24,24,20)-s(48,16,12)+s(16,40,20)*
c(24,32,20)s(32,24,28)t(24,48,12)s(24,8,12)+-*
t(32,24,20)c(32,40,20)+t(32,48,28)s(48,48,20)-*
t(24,32,28)s(16,48,20)s(40,40,28)s(32,48,12)-+*
c(32,24,20)s(24,24,28)s(16,40,20)t(24,32,12)--*
s(48,40,20)t(40,32,12)-c(40,32,20)*s(32,24,20)+
s(16,24,20)t(24,40,12)t(24,24,20)+s(16,24,12)+*
c(24,40,20)t(40,40,20)s(24,16,20)++c(48,48,12)-
s(24,48,12)s(40,24,28)+c(40,24,20)-t(48,16,12)+
s(32,16,12)s(16,24,20)+c(48,32,12)s(8,24,12)++
s(24,16,12)t(32,40,28)c(16,40,12)++s(32,24,12)-
t(40,24,20)c(32,32,20)s(48,24,20)--t(16,40,12)+
t(32,40,28)c(32,40,20)c(40,40,20)*c(40,32,12)-*
s(40,32,28)c(48,48,12)-c(24,32,20)+t(24,48,20)+
t(32,32,28)s(16,32,12)+s(40,32,20)c(32,40,12)+*
s(40,24,28)s(24,40,20)-s(48,32,20)s(40,48,20)-+
s(40,40,28)s(40,32,28)s(48,24,20)s(32,32,20)-*-
t(32,40,28)t(16,48,12)c(24,24,20)c(40,40,12)-++
s(40,16,12)t(32,40,28)+t(24,32,12)-c(24,24,20)-
s(24,40,28)t(32,48,28)*t(32,16,12)c(40,40,20)+*
s(48,24,20)c(40,32,20)*c(24,24,12)t(32,48,20)+-
c(24,24,20)s(40,16,12)-s(32,32,20)t(24,32,20)*-
c(40,40,20)c(40,24,12)+t(40,48,12)-t(32,48,28)*
s(24,24,28)s(40,24,12)s(24,24,20)s(40,24,28)*+*
s(32,32,28)s(32,16,20)-c(24,40,20)s(32,24,20)*-
t(48,40,12)s(32,24,20)+t(16,40,12)+s(48,16,20)-
c(24,16,12)t(40,48,20)s(48,32,12)-t(32,48,28)*+
s(40,24,28)c(24,24,20)t(16,16,12)s(40,32,12)+*-
t(16,48,12)t(32,40,28)c(40,40,20)*+s(48,40,20)*
c(24,24,20)s(16,32,20)c(40,32,20)c(40,40,20)*-*
t(32,40,28)s(32,16,12)s(16,32,12)+t(32,32,28)+*
c(40,24,20)s(32,8,12)-c(40,16,12)-s(24,40,20)+
s(40,32,28)c(16,32,12)s(24,40,12)+t(40,32,20)--
s(40,24,12)s(40,48,20)s(48,40,20)c(40,40,20)**+
t(24,32,28)s(40,40,20)+c(32,40,20)*s(32,32,20)*
t(24,40,20)t(24,48,20)+c(40,32,12)t(32,56,12)+-
s(40,24,20)c(24,40,20)c(32,32,20)-+c(32,40,20)*
c(40,40,20)c(24,32,20)c(40,24,20)t(32,32,28)**-
s(16,24,20)s(24,24,28)s(16,24,20)-s(16,32,20)+*
s(40,32,28)s(32,24,28)s(40,32,12)-*t(40,16,12)-
c(32,32,28)s(24,24,28)s(32,32,28)+*s(32,48,20)+
s(40,48,20)s(32,32,28)s(24,40,20)*-c(32,48,12)-
s(16,40,20)s(16,8,12)+s(48,48,20)s(16,32,20)+-
s(24,24,20)s(32,8,12)t(48,56,12)+t(16,56,12)+-
s(32,40,28)s(48,16,12)+s(32,24,20)s(32,16,20)*+
t(24,32,28)c(24,24,20)*s(24,48,20)s(32,48,20)*-
c(24,32,20)s(24,40,28)*s(32,40,20)*s(48,40,20)-
s(24,40,28)t(16,24,12)-s(32,40,12)-t(40,48,20)+
s(32,16,20)c(24,24,20)s(40,16,20)s(48,48,12)+--
s(16,24,20)s(32,24,12)s(16,32,20)+c(32,40,20)*-
s(24,16,20)s(32,16,12)t(48,48,12)+-s(24,8,12)-
t(32,32,28)s(48,48,20)+c(24,48,12)s(40,32,20)+*
c(24,24,20)t(32,48,28)s(24,32,20)+s(40,32,12)--
s(40,24,12)t(48,56,12)s(48,16,12)t(32,40,12)+++
s(48,40,20)s(24,40,28)s(8,40,12)s(16,40,12)+--
s(40,24,28)s(24,24,28)t(24,32,12)-t(24,24,12)-*
c(24,40,20)s(48,40,20)s(32,40,20)+c(32,24,20)*-
t(48,24,12)c(32,32,20)s(24,32,28)*+s(16,32,20)*
c(24,32,20)s(16,16,12)s(48,16,20)++s(40,40,28)*
t(32,32,20)s(24,40,12)+t(40,48,12)+s(40,32,28)*
s(48,24,20)t(24,48,20)s(24,24,28)+t(24,40,28)-+
s(40,24,20)t(24,24,12)t(32,48,20)+s(40,32,20)+*
s(40,24,28)c(40,32,20)*s(32,48,20)+t(40,24,20)-
s(48,24,20)s(32,24,28)t(24,40,28)-*t(32,56,12)+
t(32,32,20)s(32,32,28)c(32,24,12)-+c(40,32,20)-
s(32,8,12)t(32,48,20)+t(24,56,12)s(24,48,12)+-
t(24,32,28)s(16,24,20)*s(16,16,20)s(40,16,20)-+
s(32,32,20)c(16,40,12)-t(40,32,20)+t(24,40,28)-
c(32,16,12)t(24,40,28)+s(32,24,20)c(16,16,12)-*
c(32,16,12)t(32,32,28)s(40,48,20)-s(48,24,20)-+
t(32,24,20)c(32,24,20)s(32,8,12)s(16,16,12)+-*
s(24,32,28)c(24,24,12)-c(24,40,20)t(40,32,12)--
t(40,32,20)s(40,48,12)-t(48,32,12)+t(16,56,12)+
c(16,16,12)s(32,32,28)s(16,48,12)-+t(40,40,20)-
c(32,24,20)s(24,24,28)*s(32,24,20)*s(24,16,12)-
s(40,24,20)s(48,16,20)t(48,32,12)+*s(32,24,28)*
s(24,24,28)t(24,40,12)t(24,16,12)s(40,32,20)++-
s(16,24,20)t(24,32,28)+s(16,40,20)t(32,32,20)-*
s(48,24,20)t(40,16,12)-s(40,32,28)c(24,24,20)+*
s(24,32,28)s(32,32,28)*s(40,40,28)+c(24,16,12)-
c(32,32,28)c(24,48,12)s(48,16,12)+*s(32,32,28)*
s(32,32,28)c(32,32,20)s(40,16,12)--s(16,48,20)-
t(32,24,20)s(24,24,28)t(24,16,12)-s(24,40,20)*+
t(32,48,28)c(40,32,20)s(32,32,20)-+s(48,24,20)*
c(40,40,20)s(40,32,20)t(16,16,12)++s(48,40,12)-
s(24,32,28)c(32,32,28)s(32,32,20)-c(40,40,20)-*
c(24,32,20)t(32,48,28)t(16,48,12)s(24,16,12)+--
s(24,32,20)c(16,24,12)-c(24,32,20)s(16,24,20)*+
c(40,32,20)s(16,40,20)-s(40,48,20)s(40,40,20)*-
s(32,32,28)c(16,16,12)-s(40,24,20)+c(32,40,20)-
s(32,24,12)t(40,40,12)+s(24,32,28)s(40,32,20)--
s(40,48,12)s(24,24,20)+c(40,40,20)+s(32,32,20)-
s(32,24,20)s(48,48,20)s(48,40,20)s(32,40,12)-+-
s(32,24,28)t(24,32,20)-t(24,32,28)t(24,56,12)+-
t(32,32,20)s(40,32,28)c(24,32,20)*t(24,48,12)-*
c(24,24,20)t(16,24,12)-s(32,24,20)*s(48,16,12)+
s(32,32,28)c(40,16,12)c(24,32,20)t(24,48,28)*+*
s(40,32,12)s(48,48,20)+c(24,40,20)t(32,32,20)*-
s(32,40,28)s(32,40,20)-t(48,32,12)s(24,32,28)++
c(40,24,20)c(24,40,20)s(40,24,28)c(24,24,20)**-
t(32,40,28)t(24,32,12)-t(40,40,20)*s(40,48,12)+
t(24,40,28)t(32,24,12)+t(32,48,20)*s(48,40,20)+
s(32,32,28)c(40,40,20)-t(24,32,20)+t(48,16,12)-
s(32,32,28)t(32,48,20)-t(32,32,28)*s(24,32,20)+
t(32,32,20)s(16,32,20)c(48,48,12)++t(16,24,12)-
t(24,40,28)s(24,48,12)t(32,32,20)c(24,24,20)*+*
c(40,40,20)s(24,32,28)c(24,40,20)*t(32,48,28)**
s(48,32,12)t(24,32,12)+s(32,32,28)s(32,32,20)--
s(32,32,20)c(40,24,20)*s(32,24,20)c(16,32,12)-*
s(16,24,20)c(32,32,28)s(40,32,20)-t(16,48,12)-*
t(24,32,12)t(32,48,20)t(48,32,12)++t(16,16,12)+
t(40,40,20)t(32,40,20)t(32,24,20)s(24,32,28)*-+
s(40,32,20)s(24,40,20)-c(32,24,20)t(24,40,28)+*
c(40,32,20)s(32,16,20)s(24,16,20)*+t(24,40,28)*
s(24,24,12)c(40,40,20)t(32,32,28)c(24,40,20)**+
c(24,40,20)s(48,32,20)t(40,16,12)-s(40,24,28)+*
s(40,24,28)t(24,16,12)c(24,40,12)+c(32,40,20)*+
s(32,40,28)s(40,32,28)t(32,32,28)*c(40,40,20)*-
c(40,40,20)t(32,48,20)*c(24,32,20)+s(40,16,20)-
c(40,48,12)t(40,32,20)s(24,16,20)s(40,16,12)-++
c(32,32,20)s(24,16,20)s(24,40,20)t(24,40,28)*+*
s(40,24,20)c(32,40,12)s(24,16,12)+-s(48,48,12)+
c(40,32,20)s(32,24,28)s(24,24,28)*s(32,40,28)**
s(32,32,12)s(16,24,20)+c(24,24,20)s(40,48,12)+*
s(24,24,20)s(40,16,12)-s(24,16,20)+s(40,40,20)+
s(48,16,20)c(24,32,12)+s(24,32,20)c(40,32,12)--
s(40,32,20)t(24,40,20)s(16,16,20)s(32,32,28)-+-
c(32,24,20)s(32,32,12)t(24,56,12)+s(24,32,20)+*
t(24,40,28)t(32,48,28)c(32,32,20)*s(48,48,12)--
t(24,40,20)s(48,40,20)s(24,32,20)t(24,40,28)+-+
s(8,16,12)s(16,40,20)+c(32,32,20)s(40,40,28)*-
c(24,32,20)c(32,32,20)t(24,40,28)c(32,32,20)*--
c(32,32,20)t(32,48,28)t(32,32,28)+*s(40,32,20)*
s(40,40,20)t(48,48,12)s(24,40,28)+s(16,40,12)-*
s(16,24,20)c(40,32,20)t(24,32,20)+s(24,48,20)--
s(40,40,20)s(32,24,20)c(48,16,12)--s(24,48,12)-
c(24,32,20)s(24,24,20)s(40,24,12)-t(48,48,12)+*
s(32,48,12)c(24,24,20)+s(40,16,20)c(32,24,20)**
s(40,40,28)c(32,32,12)s(48,32,20)++s(24,32,20)*
t(40,40,20)c(32,40,20)s(24,16,20)-*s(48,32,20)+
s(32,48,20)s(32,40,28)c(24,40,20)s(16,40,20)--*
t(24,48,28)c(32,32,28)*t(32,48,28)*s(24,32,20)+
s(32,32,20)c(40,40,12)-c(40,40,20)+t(24,40,12)-
c(24,24,20)c(24,24,12)-s(40,40,12)+c(24,40,20)*
t(32,24,20)s(24,16,20)+t(32,32,28)*t(48,56,12)+
s(40,16,20)t(48,24,12)-s(24,40,28)+s(16,48,20)*
s(16,16,20)s(40,32,28)t(40,40,20)t(24,40,28)+*+
t(24,56,12)s(40,48,20)t(32,48,20)-+s(40,48,20)*
t(24,40,28)s(48,32,12)s(40,48,12)+c(32,24,20)+*
s(40,24,28)s(40,32,28)s(40,32,12)-s(48,32,12)-*
s(24,40,28)s(32,40,20)s(48,40,20)--t(16,40,12)-
t(16,32,12)t(40,32,20)t(40,48,20)s(32,32,20)+*+
s(16,16,20)t(32,48,28)c(32,32,20)s(32,16,12)-*+
s(16,40,20)t(32,48,28)+s(24,48,12)s(16,16,20)+*
s(24,24,28)c(32,24,12)-c(32,32,20)c(40,16,12)+*
s(24,24,20)s(32,16,12)-s(16,32,20)*s(8,16,12)+
s(24,24,28)c(16,48,12)s(24,8,12)+c(40,32,20)+*
t(24,40,20)s(8,40,12)-t(32,40,28)c(32,40,20)**
t(32,32,28)s(40,32,28)c(24,32,20)**s(48,48,20)-
s(40,48,20)s(16,16,20)+s(32,24,28)*s(40,24,28)*
t(24,24,20)c(24,40,20)t(24,32,28)*s(40,24,28)*+
s(16,32,20)c(48,24,12)+s(32,40,28)s(24,40,28)+*
s(32,16,20)s(40,40,20)s(16,16,20)+s(16,40,20)-*
s(32,40,20)s(40,40,20)t(48,40,12)-t(24,48,12)-*
s(32,48,20)s(32,24,20)+c(24,32,20)s(8,24,12)-*
c(32,32,28)s(40,40,28)s(24,40,20)-s(32,24,12)-*
t(32,40,28)s(24,48,20)s(24,32,28)s(8,48,12)-*-
s(24,24,12)s(40,40,28)t(24,48,28)*s(24,48,20)*+
s(16,32,20)s(24,40,28)s(32,32,20)+*t(32,24,20)-
c(32,40,20)c(48,24,12)+s(48,40,20)-s(24,48,12)-
c(40,40,20)s(24,32,28)t(24,16,12)-*s(48,24,20)-
c(40,24,20)s(48,16,12)-c(48,16,12)c(24,24,20)+*
s(24,24,28)s(24,40,20)t(32,48,28)s(40,40,20)-+-
t(32,48,20)s(16,32,12)s(16,48,20)+t(24,24,20)-+
s(32,24,20)t(32,40,28)t(32,24,20)c(24,40,20)+*-
s(24,24,20)t(32,40,12)+c(32,48,12)-c(32,32,20)*
t(16,48,12)t(32,24,12)+s(48,24,20)+s(32,24,20)-
s(24,24,20)s(24,32,28)s(24,40,20)c(16,48,12)+**
t(16,24,12)s(24,48,12)c(40,40,20)+t(32,32,20)*+
s(32,40,28)s(40,32,28)*s(40,48,20)*s(32,48,20)*
s(16,40,20)c(32,48,12)+s(24,40,28)s(16,24,20)-*
s(40,48,12)t(40,32,12)+s(32,32,28)s(16,32,12)-*
s(24,32,28)s(40,24,28)s(24,24,28)+*c(40,32,20)*
t(24,40,28)s(24,32,28)*s(24,8,12)+c(24,16,12)-
t(24,32,20)s(32,40,28)s(32,40,12)-+t(24,32,12)-
s(24,40,28)c(24,32,20)s(40,32,28)**t(24,56,12)+
c(32,32,28)s(24,24,28)s(40,24,12)-t(24,48,28)+*
c(32,40,20)s(8,16,12)+t(48,56,12)+s(24,32,20)*
c(32,40,20)s(40,48,20)*t(40,24,20)+s(40,40,20)*
c(24,24,20)s(32,40,28)*t(32,48,28)s(40,48,20)*-
s(24,32,20)s(24,40,20)s(40,40,20)t(24,56,12)++*
s(40,40,28)s(48,32,20)t(32,24,12)+c(40,40,12)++
t(24,48,28)t(16,56,12)c(32,16,12)+t(32,48,12)+*
t(32,32,28)t(24,32,28)c(40,32,20)-t(32,48,28)++
c(32,32,20)c(48,40,12)-s(16,40,20)+s(32,48,12)-
t(32,40,28)s(32,24,28)t(32,32,28)*-s(16,48,12)+
s(24,24,28)c(32,40,20)+s(32,48,20)-s(40,24,20)*
s(32,40,28)s(40,40,28)c(40,32,12)-*t(48,48,12)-
s(40,32,28)t(32,16,12)-c(40,16,12)-s(24,24,28)*
s(48,40,20)t(24,32,28)+s(32,40,20)s(24,24,12)-*
t(24,48,20)c(32,24,12)+c(40,24,12)+c(40,40,12)-
s(24,24,28)s(16,16,20)t(32,32,12)+*s(32,24,12)-
s(24,24,28)s(16,16,12)s(40,32,28)+*t(32,40,28)*
s(32,40,20)s(40,24,28)c(40,32,20)*c(40,40,20)**
s(32,48,20)s(40,24,28)t(24,32,20)t(48,16,12)+--
c(32,40,20)s(32,24,12)-s(32,40,28)s(24,40,28)**
s(40,32,28)s(16,32,20)+t(32,40,20)t(24,32,28)*-
s(40,24,20)s(32,40,20)s(24,24,12)-s(16,32,20)--
t(40,40,20)t(24,16,12)s(48,48,12)++t(48,56,12)-
s(24,16,12)s(32,32,12)+c(32,24,20)c(48,32,12)-*
t(32,24,12)s(16,32,20)+c(24,24,12)-c(40,48,12)+
c(32,32,28)s(24,24,20)s(24,40,28)*-s(24,16,20)-
s(40,40,12)t(32,48,28)s(48,48,20)*+s(32,32,12)-
c(40,32,20)c(24,40,20)s(32,32,20)+*t(40,40,12)-
c(32,40,20)t(32,32,12)c(48,48,12)+t(32,56,12)+*
c(32,24,12)t(32,40,20)+t(32,32,12)-t(32,56,12)+
s(48,32,20)s(32,24,12)-c(32,32,28)*s(40,24,12)+
s(32,32,28)c(40,40,20)*t(32,48,28)*t(48,48,12)-
s(24,32,28)s(24,24,20)t(24,48,28)s(24,40,12)-+*
s(32,24,28)t(24,40,28)+t(32,32,28)s(16,32,20)*-
t(32,40,28)s(48,32,12)c(32,48,12)+s(24,40,28)+*
s(32,40,20)s(32,32,28)t(48,32,12)-s(16,40,20)*+
s(32,24,28)c(40,40,20)-s(32,32,20)s(40,40,20)*+
c(16,48,12)s(48,48,20)c(32,32,20)++s(24,32,28)*
s(40,32,20)c(24,24,20)s(24,32,12)-s(40,40,20)-+
s(24,40,20)s(32,40,28)s(40,48,12)-t(24,24,12)-*
c(32,32,28)t(24,32,20)-c(24,40,12)s(40,48,20)+-
s(32,32,20)s(40,24,20)s(40,24,12)-s(24,40,12)+-
c(40,40,12)c(32,24,20)+s(48,16,20)+c(32,32,20)*
s(16,16,20)s(24,40,20)t(32,32,12)-s(32,8,12)+-
c(40,32,20)t(32,32,28)t(32,56,12)s(32,40,20)+*-
t(48,40,12)s(24,40,20)+s(32,32,28)s(24,24,28)**
s(24,48,20)c(48,24,12)t(24,16,12)++t(24,40,20)*
t(32,40,28)t(32,48,20)c(24,24,12)c(48,24,12)++*
c(40,40,12)s(24,24,20)+t(48,40,12)-s(32,32,28)+
t(40,48,20)t(32,48,28)c(16,40,12)-c(32,24,12)-+
t(48,40,12)t(16,16,12)+s(16,48,20)+t(32,24,20)+
s(40,32,20)s(24,16,20)+t(24,32,28)s(24,24,20)*-
s(24,16,20)t(40,40,20)t(24,24,20)+c(40,40,12)-*
s(48,48,12)s(40,40,28)t(48,24,12)s(24,24,28)+*+
t(32,32,28)t(24,32,28)*s(40,24,28)c(16,48,12)+*
t(32,40,28)s(40,24,20)c(40,16,12)t(40,48,20)+*-
s(24,32,20)c(16,32,12)c(40,40,12)t(40,56,12)++*
t(24,32,28)s(40,32,28)+s(40,40,12)-s(48,40,20)*
t(32,48,12)t(32,48,28)t(40,48,12)-+s(48,40,20)-
s(48,48,20)s(48,32,20)s(32,40,28)+s(32,24,12)-+
c(48,48,12)s(32,16,20)+c(40,32,20)c(40,48,12)-*
c(24,40,20)s(40,24,20)s(48,8,12)-s(48,24,20)*-
s(48,16,20)t(48,32,12)+s(32,40,28)-s(32,8,12)-
c(24,16,12)t(40,32,12)+s(40,32,28)+c(40,24,12)-
c(16,24,12)t(48,56,12)c(32,24,20)s(32,40,28)-++
t(16,32,12)s(48,24,20)s(32,24,28)*+s(48,24,12)+
c(24,24,20)s(8,24,12)t(16,24,12)+-s(48,40,20)-
s(8,48,12)s(24,8,12)s(16,32,12)++s(16,40,20)*
s(24,48,20)c(16,40,12)s(40,24,28)+s(40,40,28)+*
c(40,32,20)c(32,16,12)+s(24,40,28)-c(48,32,12)+
c(32,32,20)c(40,40,20)+t(24,24,12)-s(16,40,12)-
t(24,32,28)s(48,40,12)t(40,32,12)+-c(24,40,20)*
t(32,40,28)s(40,40,20)t(40,32,20)+s(24,32,12)-*
s(48,24,20)s(24,32,20)t(40,48,20)+-s(40,24,20)*
t(32,48,28)s(24,40,28)s(24,32,20)s(32,32,12)--*
c(24,16,12)s(24,48,20)+t(16,40,12)-s(32,24,28)*
c(48,48,12)s(40,40,20)+c(24,32,20)s(8,40,12)+*
s(48,48,20)s(32,48,20)t(32,32,20)c(24,40,20)*+*
s(40,32,20)t(24,32,20)-t(32,16,12)-s(48,8,12)+
t(40,40,20)s(32,48,20)+s(24,16,12)s(16,48,20)+*
s(40,48,20)c(40,32,12)s(40,16,20)t(40,32,20)-++
s(32,48,20)s(48,40,12)-s(8,16,12)s(40,16,20)++
s(40,16,20)c(48,16,12)-t(24,48,12)+s(24,32,28)*
c(24,24,20)s(40,32,28)*t(40,24,20)+s(24,24,20)*
c(40,32,20)s(8,24,12)+c(32,24,20)s(24,16,12)-*
s(8,8,12)s(40,32,20)+t(24,40,28)-c(24,40,12)+
t(32,48,12)c(32,32,20)c(24,40,12)-+c(24,24,20)*
c(32,24,20)s(16,48,12)t(32,32,20)c(24,40,20)*+*
t(24,48,20)s(16,48,20)c(24,40,20)*s(32,16,20)+*
s(24,40,28)c(24,48,12)c(32,32,28)s(24,32,28)-+*
t(32,48,28)s(24,24,28)s(40,32,28)s(48,40,20)-*-
c(40,40,20)t(24,32,20)s(16,48,12)--c(32,48,12)-
c(48,48,12)c(40,16,12)+t(32,32,28)+c(24,32,20)*
s(16,32,12)t(32,32,28)+s(24,48,12)s(40,24,20)+*
s(40,24,28)c(40,40,12)s(40,16,12)+t(48,48,12)+-
t(24,24,12)c(40,32,20)t(32,32,12)-t(32,40,28)*+
s(32,24,28)c(24,24,20)*s(40,32,20)-s(16,48,20)+
s(32,16,20)s(48,32,20)s(40,24,28)s(32,32,12)-*-
s(24,24,28)s(24,40,12)t(40,32,12)c(16,40,12)++*
s(32,24,20)s(16,16,12)+s(16,8,12)s(40,24,12)+-
t(16,24,12)s(32,48,20)s(48,48,12)-s(8,32,12)++
c(40,32,20)s(40,40,20)c(24,40,20)*t(48,32,12)+*
c(32,32,28)t(24,48,28)*s(40,40,28)s(32,16,20)-*
c(24,24,12)s(24,48,20)s(40,40,28)*+c(32,40,20)*
c(24,48,12)s(32,40,20)s(24,40,28)c(24,48,12)-*+
t(32,56,12)t(40,40,20)c(40,40,20)t(40,24,12)-*+
s(32,24,28)c(40,40,20)-s(16,24,12)-s(40,16,12)-
s(24,32,28)s(24,40,28)*c(24,40,20)*s(48,24,20)-
t(24,48,28)c(24,32,20)c(24,40,20)c(40,48,12)+**
c(32,24,20)s(32,48,20)-s(24,32,28)t(40,32,12)-*
s(32,32,28)t(40,48,20)c(32,24,12)+-s(32,32,20)-
s(24,16,20)c(32,32,28)s(24,16,20)*s(32,24,20)+*
t(32,48,28)t(32,40,28)*t(40,48,20)c(40,32,12)--
s(8,48,12)c(24,16,12)+s(40,16,20)s(40,32,28)*+
t(24,16,12)c(24,40,20)+s(24,48,20)*t(40,40,20)-
s(24,16,20)t(24,48,28)c(16,16,12)s(24,48,12)++*
s(24,24,20)t(32,32,28)*c(40,40,20)s(48,32,20)*-
s(24,24,20)t(32,48,12)+s(16,40,12)-s(24,40,28)+
c(24,32,20)t(24,40,28)s(32,40,20)**c(40,48,12)+
c(40,32,20)t(16,40,12)s(40,32,20)+*t(24,40,12)-
t(32,24,12)t(24,40,28)s(32,24,28)s(8,8,12)+*+
s(32,24,28)s(16,40,20)-s(48,32,12)-s(32,40,12)-
s(32,32,28)s(16,48,12)s(16,24,20)s(16,8,12)-+*
s(40,48,20)c(24,48,12)c(40,32,20)+s(32,48,20)+*
t(32,48,28)c(32,32,28)c(16,32,12)-s(48,24,20)-*
c(32,24,20)t(40,32,12)-s(8,24,12)c(40,40,20)+*
c(32,40,20)s(24,32,20)s(16,48,12)-s(32,48,12)--
s(48,8,12)t(40,24,12)+s(24,24,20)t(24,40,28)--
c(48,24,12)t(16,40,12)+t(32,48,20)+s(40,32,20)*
s(32,32,28)s(40,24,28)t(24,24,20)-+s(24,24,12)-
c(40,48,12)c(40,40,12)+s(32,24,28)c(24,40,20)--
s(32,32,28)t(48,40,12)-t(24,40,28)-s(32,8,12)-
s(40,40,28)c(48,40,12)-t(32,40,28)*s(32,40,20)+
s(40,24,12)c(24,16,12)+c(32,40,12)+t(40,24,20)-
c(32,32,20)c(32,16,12)-s(40,32,20)c(48,48,12)-*
s(32,16,20)c(24,32,20)s(40,48,20)+s(32,24,28)*-
c(48,32,12)t(16,56,12)+t(32,40,20)-s(40,48,20)-
s(32,24,28)s(48,24,20)s(32,48,12)+-s(16,16,20)*
t(24,40,20)t(32,32,20)+s(8,24,12)t(40,40,12)+-
c(24,40,20)s(32,48,12)t(32,24,20)+c(16,40,12)-*
s(16,16,20)c(24,24,12)+t(40,24,20)t(40,32,20)+-
t(32,32,28)s(24,48,12)-s(24,24,20)t(24,48,28)--
t(24,32,28)s(40,48,12)-s(24,32,28)c(24,48,12)-+
c(24,40,20)c(32,48,12)t(40,16,12)+-t(32,32,20)-
c(16,32,12)t(40,24,12)+s(48,32,20)-c(32,24,20)+
s(24,24,28)t(40,24,12)-s(48,32,20)t(24,32,28)+*
s(40,32,28)s(24,24,20)t(32,40,20)--t(40,24,20)*
t(48,48,12)s(32,24,12)t(24,32,20)++t(40,32,20)-
t(32,40,28)c(32,40,20)t(40,48,12)-s(16,40,20)*-
s(40,16,20)c(32,40,12)c(24,48,12)++s(32,48,20)*
s(40,32,28)c(32,32,20)s(48,48,20)-s(32,40,20)*-
s(40,24,28)c(24,24,20)*s(40,48,12)+s(24,32,20)*
s(40,48,20)s(32,32,28)c(40,24,20)*t(32,24,20)--
s(24,48,20)t(32,48,12)-t(32,32,20)c(24,24,20)*-
s(24,32,28)c(32,24,20)s(24,32,20)t(32,32,20)*-*
s(48,16,20)c(40,24,12)-c(16,24,12)s(8,48,12)++
t(32,40,28)t(24,48,28)s(32,32,28)*s(16,32,20)+*
s(40,24,28)t(32,40,28)-s(40,40,28)*s(40,24,12)+
c(24,24,20)s(32,40,12)t(24,24,12)+-s(40,32,20)+
s(40,40,28)t(32,48,28)-t(40,32,20)t(48,32,12)--
s(48,32,12)c(32,24,20)s(32,16,20)*+s(24,16,20)*
s(16,40,20)t(16,32,12)s(24,32,28)s(24,48,20)*+*
t(32,32,20)c(16,16,12)+s(48,40,20)c(16,16,12)+*
t(32,48,20)s(8,48,12)+c(40,32,20)-t(24,32,28)-
t(32,48,28)s(8,24,12)t(32,40,20)+s(24,24,28)*-
t(24,48,28)t(16,56,12)s(24,32,12)+*s(8,32,12)+
s(40,40,20)t(24,40,12)t(40,48,20)++s(48,40,12)-
c(40,32,20)s(24,48,20)s(40,40,20)+*c(40,24,12)-
s(48,32,12)t(24,16,12)c(24,40,20)++c(40,48,12)+
s(16,16,20)c(24,32,20)+c(32,32,28)+c(24,32,12)-
c(40,24,20)s(40,32,28)s(32,16,20)-*t(24,56,12)+
s(8,16,12)c(32,32,20)c(40,48,12)++c(32,48,12)-
s(32,24,28)t(48,40,12)s(8,24,12)+s(24,24,28)+*
c(40,32,20)s(32,48,12)-s(32,40,20)t(48,32,12)+*
c(40,48,12)t(32,32,28)+s(16,48,20)-s(32,32,20)*
t(48,24,12)s(16,16,20)+s(24,32,28)s(40,48,12)-+
s(48,32,20)s(32,32,20)s(24,32,20)c(16,32,12)-*-
t(32,24,20)s(48,48,20)c(32,32,12)++t(24,40,20)-
s(24,32,28)s(48,24,20)-t(24,40,12)-c(32,32,28)*
s(40,32,20)s(32,24,12)-t(24,40,12)-s(32,32,28)*
s(32,40,12)s(40,40,20)s(16,32,20)-t(40,40,20)*+
c(32,40,20)c(24,24,20)c(32,40,12)t(32,24,12)+*-
c(40,24,20)s(32,32,28)s(32,24,12)-c(32,16,12)+*
s(24,32,28)s(40,32,28)t(32,32,12)s(40,16,12)+-*
s(32,48,12)t(24,32,28)c(40,24,12)-+s(40,48,12)-
c(40,24,12)s(48,40,20)+s(32,24,20)-s(48,24,20)-
s(16,48,12)c(32,40,12)+c(24,32,20)t(32,16,12)-*
c(32,32,20)s(24,40,28)*t(24,32,20)s(40,24,20)+*
s(48,32,20)t(32,48,12)+c(24,48,12)-t(40,24,12)-
s(8,32,12)c(16,48,12)t(40,48,12)++s(24,32,28)*
s(48,24,20)t(16,48,12)+t(32,40,28)t(40,48,20)--
s(32,32,28)s(40,32,20)t(40,56,12)++s(40,40,28)*
s(48,40,20)t(32,40,28)+t(40,24,20)+t(24,32,28)*
s(16,24,12)t(32,32,28)c(24,24,20)*t(24,32,28)*+
t(24,32,28)s(48,16,20)+c(48,40,12)+s(40,40,28)*
c(40,24,20)s(8,40,12)+c(40,32,20)s(24,24,28)+*
c(32,24,20)s(48,24,20)s(48,8,12)-s(40,24,20)**
t(16,48,12)c(32,32,28)t(24,48,28)-s(24,24,20)++
t(24,40,12)c(24,40,20)s(24,24,28)s(16,16,12)--+
s(48,40,20)s(24,48,12)c(24,24,12)+c(32,32,20)+*
c(24,40,20)s(16,24,12)s(24,48,20)+t(24,48,28)*-
s(48,40,12)s(24,32,20)c(24,24,20)+c(32,16,12)-+
s(48,16,12)s(24,24,28)+c(32,32,20)*t(24,40,12)-
t(32,48,28)t(24,40,28)s(24,40,28)s(24,24,12)-*-
t(24,32,28)c(40,48,12)-t(40,40,20)s(40,32,20)*-
t(16,40,12)t(32,32,28)s(24,48,20)-+c(32,24,20)*
c(24,40,20)s(40,40,20)t(16,32,12)+s(32,24,28)*+
s(24,40,28)s(48,16,12)s(24,24,28)s(32,40,20)*++
s(16,40,20)s(40,40,28)-c(24,40,20)+s(24,48,20)*
s(48,32,12)t(48,56,12)t(48,48,12)++s(32,40,28)*
s(24,24,28)c(32,32,20)*t(32,16,12)-c(24,24,20)*
t(32,32,28)c(24,40,20)+c(32,24,12)t(48,16,12)+*
t(32,32,28)t(48,40,12)-s(24,24,20)*t(32,48,20)-
t(40,48,12)s(40,32,20)+s(40,32,28)s(40,24,28)**
c(32,24,20)s(32,32,28)*s(40,48,20)-s(40,8,12)+
c(32,32,20)c(24,24,20)t(32,32,28)-c(32,16,12)+-
c(40,40,20)s(40,40,20)t(32,16,12)+t(24,40,12)+*
t(48,48,12)s(32,24,28)+s(48,48,20)t(32,24,12)+*
s(32,24,28)t(24,32,28)*s(32,32,20)*c(32,48,12)-
t(24,48,20)s(40,24,20)+c(32,40,20)+t(32,48,28)*
t(24,32,28)s(24,32,12)-s(24,24,28)s(24,32,28)**
c(24,24,20)s(24,8,12)-t(16,56,12)c(32,40,20)+*
s(24,40,28)s(40,24,28)c(32,32,20)*t(48,32,12)-*
c(32,24,20)s(16,24,20)s(16,32,20)*-s(32,32,28)*
s(32,48,20)t(24,40,20)t(32,56,12)+s(24,24,20)-*
t(24,40,28)s(24,24,28)t(24,32,28)c(32,32,20)***
t(24,48,12)t(32,48,28)c(32,32,20)*+s(48,16,12)+
s(48,40,20)c(40,24,20)*t(32,32,28)s(40,24,20)-+
c(40,24,20)c(32,24,20)s(16,24,12)t(32,40,28)+*+
s(8,40,12)s(40,40,12)+t(24,32,20)s(32,48,12)--
c(24,32,12)s(16,32,20)t(24,48,28)-+s(8,40,12)-
s(24,48,20)s(24,16,20)+c(24,40,20)*s(40,40,20)-
s(40,24,20)t(32,32,28)*c(16,24,12)c(24,40,12)++
s(32,24,12)s(16,32,20)+t(24,32,28)*c(32,24,20)*
s(32,48,20)c(48,48,12)-s(32,24,28)c(24,24,20)-+
s(40,48,12)t(40,32,20)+s(32,40,20)s(16,8,12)+*
t(32,32,28)s(40,48,20)s(24,48,20)+*t(24,24,20)+
t(24,48,28)s(16,24,20)+c(48,32,12)t(24,48,28)+*
t(16,40,12)s(40,16,20)s(32,16,20)c(32,32,20)+*+
s(32,48,20)c(32,32,20)s(32,40,28)*c(24,24,12)+*
s(32,24,20)s(16,24,12)-t(24,32,20)+t(32,32,20)-
s(24,8,12)s(16,40,20)+c(32,24,20)s(16,32,20)*-
s(32,32,20)s(40,16,20)-s(32,48,20)+s(24,24,12)-
t(16,24,12)t(24,48,28)+c(24,24,12)-s(24,24,20)-
t(32,32,28)s(48,8,12)t(32,32,20)+s(32,40,28)*-
s(24,32,28)s(8,24,12)-s(40,32,28)s(8,8,12)+*
s(24,48,12)s(24,16,20)+s(8,48,12)+s(16,40,20)*
t(24,48,20)c(40,32,20)s(24,48,20)t(40,40,20)+*-
t(24,48,28)s(32,24,20)+s(48,40,20)-s(24,40,28)+
t(24,48,28)t(32,40,20)t(32,48,12)-c(48,32,12)+-
s(24,16,20)s(24,32,20)s(40,32,20)*+s(40,40,28)*
c(32,32,28)s(48,40,20)-c(32,24,20)s(24,48,12)+*
t(40,40,20)c(32,40,20)t(48,32,12)-+t(32,48,28)*
s(48,40,20)s(40,24,28)t(48,16,12)-s(32,32,20)*-
t(32,48,28)s(24,48,20)c(40,24,20)s(24,40,20)-+*
t(24,32,20)s(24,24,20)*t(16,16,12)+t(32,48,20)-
t(24,40,28)t(40,56,12)s(24,24,28)+*s(40,40,28)+
s(32,24,28)s(32,48,20)t(16,48,12)s(16,40,12)++*
s(16,16,12)t(40,56,12)t(32,32,28)+c(40,40,20)*+
t(40,24,20)t(24,40,28)t(16,40,12)-+s(8,48,12)+
t(48,56,12)c(32,32,20)s(32,48,20)-+s(16,24,20)-
s(40,24,20)t(48,40,12)s(40,16,20)s(32,48,12)++*
s(24,40,28)c(32,24,20)*s(48,32,20)t(24,24,20)+*
t(16,24,12)s(48,48,12)+c(40,32,20)s(40,16,20)*+
c(24,40,12)s(40,40,20)s(32,8,12)s(32,32,12)+++
t(24,32,28)c(24,32,20)c(24,24,20)s(32,24,12)--+
s(32,24,28)c(32,48,12)+s(40,40,28)-s(24,16,20)*
t(24,40,20)c(24,32,20)c(32,40,12)-s(32,16,20)-+
s(32,32,28)s(16,48,20)t(16,32,12)--t(40,24,20)*
c(16,24,12)s(40,24,28)+s(24,24,28)*s(48,24,20)+
c(32,24,20)s(16,24,20)c(16,48,12)+t(48,24,12)+-
t(32,40,28)c(40,32,20)*t(32,32,28)s(48,32,12)-*
s(48,32,20)s(32,16,12)t(48,24,12)+t(24,32,28)+*
c(40,24,20)t(32,40,20)t(40,40,12)+-s(8,8,12)+
c(32,24,20)s(24,24,28)t(24,32,20)t(48,32,12)+-*
c(24,24,20)t(32,40,28)c(40,24,12)-s(24,32,28)*-
t(32,32,20)c(32,40,20)c(32,48,12)-s(40,48,12)-+
c(40,40,20)t(24,24,20)-c(32,48,12)-c(32,32,28)*
s(32,24,28)s(24,16,20)-t(48,40,12)-c(32,32,20)*
c(24,32,20)c(32,32,28)s(40,40,20)-t(48,48,12)++
s(24,32,20)s(16,40,20)*s(32,40,20)+s(48,48,12)-
c(24,40,20)s(16,16,12)s(16,32,12)++s(16,24,20)*
s(40,32,20)s(32,16,12)-c(24,24,20)t(32,32,28)*+
t(24,24,12)s(40,32,20)+t(32,40,28)t(40,16,12)+*
s(24,24,28)t(32,40,28)s(40,8,12)+*c(24,24,20)*
s(16,40,20)c(40,48,12)c(32,16,12)+c(48,40,12)-+
s(32,32,20)s(24,24,20)c(24,40,20)+s(16,32,20)**
t(32,40,28)s(32,8,12)s(32,48,12)++s(40,40,28)*
c(40,32,20)t(32,32,20)t(16,24,12)+s(24,24,20)*+
c(32,24,20)c(48,24,12)-t(24,32,28)*t(32,24,12)-
c(40,24,20)s(24,24,28)s(8,40,12)-c(40,16,12)-+
c(32,24,20)s(24,16,12)t(24,48,28)+t(24,56,12)-*
c(40,40,20)s(48,40,20)t(32,24,20)+c(32,40,20)**
t(32,40,20)s(40,32,12)+c(16,32,12)+t(40,32,20)*
s(40,32,28)s(24,40,28)*s(32,24,28)s(32,40,20)**
s(40,24,28)t(16,40,12)+t(32,24,12)-c(24,16,12)-
s(32,40,28)t(40,24,20)+c(48,48,12)s(8,8,12)++
s(40,32,28)s(32,32,28)+s(24,32,28)*s(40,24,20)-
c(40,24,20)s(40,32,28)c(24,32,20)*t(32,48,20)--
s(24,40,20)c(40,24,20)s(24,32,12)+t(32,56,12)+-
s(40,40,12)s(40,48,20)t(40,40,20)t(16,24,12)+-+
c(40,24,20)s(16,40,20)s(24,32,28)*+c(40,40,12)-
s(32,40,28)s(32,24,20)t(40,24,20)*-s(24,48,20)+
t(40,56,12)s(32,32,28)+s(32,32,20)-t(24,32,28)-
s(16,24,20)s(8,40,12)s(32,16,12)++c(40,48,12)+
s(24,48,20)t(24,32,12)-s(24,40,28)s(16,48,20)**
t(32,32,28)s(32,40,28)s(16,16,20)-*t(32,40,20)*
s(40,8,12)s(16,16,20)+s(8,48,12)s(32,16,12)+-
s(32,40,28)s(48,32,12)-s(40,40,28)*c(16,24,12)+
c(32,24,20)s(48,40,20)-s(24,24,12)t(16,40,12)+-
s(40,32,12)s(32,48,20)s(24,24,28)c(32,24,20)*-+
s(32,24,28)t(32,32,28)s(32,48,20)c(32,40,20)+**
s(40,40,28)s(24,40,28)t(32,48,28)*c(24,40,20)*-
t(40,32,20)s(24,32,20)s(48,40,12)s(8,40,12)++*
c(48,40,12)s(16,32,20)s(40,40,28)-+c(40,40,20)*
s(24,16,12)s(48,16,20)t(32,24,12)-+s(24,48,20)+
s(24,32,28)s(48,32,20)c(32,32,28)c(16,40,12)-*-
t(24,32,28)s(32,40,28)s(16,40,20)*-s(40,32,28)+
s(40,40,12)s(32,48,20)s(48,48,12)-+t(32,32,28)*
c(24,24,20)t(32,24,20)t(24,32,28)+*s(40,32,20)*
c(24,40,20)t(24,32,20)c(48,24,12)+s(32,32,20)**
s(32,48,12)c(24,24,20)c(16,16,12)-s(16,32,20)*+
t(32,32,20)c(24,32,20)s(24,24,28)s(48,16,20)-**
c(24,24,20)s(32,40,28)*s(16,40,20)t(40,48,12)++
s(16,16,20)c(40,32,20)c(32,40,12)-s(40,24,28)*+
t(32,24,20)s(40,8,12)s(16,40,20)c(24,32,20)*++
t(24,40,28)s(40,32,28)+s(24,48,20)-s(24,24,20)*
s(24,40,28)s(24,32,28)*s(32,40,28)s(16,32,12)-*
s(40,40,20)s(48,40,20)s(16,48,12)+s(16,16,12)+*
s(32,24,28)c(32,32,20)t(32,40,28)*-s(48,16,20)*
t(40,32,12)t(24,32,20)c(32,48,12)+t(40,24,20)-+
c(24,24,20)t(32,32,20)t(40,48,12)+c(32,24,12)-+
s(24,40,28)s(40,40,20)-s(24,40,12)-c(24,32,20)*
t(32,48,28)s(40,24,28)t(32,48,12)+c(48,16,12)-*
s(40,24,28)c(40,40,20)c(32,32,20)-s(24,24,12)+-
c(32,40,20)c(40,32,12)-s(24,32,20)c(40,32,20)-+
s(16,40,20)s(16,24,20)-s(40,24,28)-s(32,32,20)+
s(40,32,20)s(40,40,28)s(24,40,28)s(40,24,20)-*-
t(32,32,20)t(32,32,28)s(48,48,20)s(40,40,20)*-*
s(24,48,20)t(40,32,20)-s(32,32,28)c(24,24,20)--
t(24,48,28)c(32,40,12)t(16,24,12)+-c(24,40,12)-
s(48,32,20)c(32,32,20)t(24,32,28)-t(32,40,28)+*
s(32,48,20)s(32,32,20)+t(16,32,12)t(32,40,12)+-
t(16,16,12)s(32,24,20)c(32,24,20)t(32,40,28)*-+
s(32,24,28)s(48,32,20)s(40,32,28)t(24,48,28)-**
s(24,32,28)t(16,40,12)t(40,40,12)+-s(16,16,12)-
c(24,16,12)s(8,32,12)+s(40,32,20)c(24,32,20)*-
s(48,8,12)t(40,48,12)+s(48,40,12)t(32,56,12)+-
s(16,32,20)s(32,8,12)s(16,40,20)+*c(40,48,12)+
s(24,32,20)t(16,48,12)c(40,24,20)s(40,48,20)-++
t(24,40,20)s(24,32,20)*s(48,24,12)+s(8,16,12)+
s(32,32,28)t(24,24,20)t(24,32,28)s(32,32,28)**-
s(32,32,28)c(40,24,20)t(24,32,12)-*s(40,24,20)*
s(40,32,28)s(32,24,20)+c(16,24,12)-s(48,32,12)-
c(24,32,12)s(16,48,20)+c(24,40,12)-c(40,32,20)-
s(32,48,20)s(32,48,12)-s(48,24,20)c(48,32,12)-+
s(48,24,20)c(24,32,20)s(32,40,28)*t(40,40,12)--
s(16,32,20)s(16,24,20)s(24,32,12)-+c(32,32,20)-
s(40,16,20)c(24,32,20)c(24,24,20)s(48,32,12)+*-
t(32,40,28)s(48,40,12)+c(32,40,20)s(40,24,28)*-
s(32,40,20)c(16,24,12)s(24,24,12)+-s(40,32,12)-
s(8,32,12)c(32,24,20)s(40,40,20)*+s(16,16,20)-
s(16,24,20)t(24,40,20)s(16,40,20)s(8,8,12)+*-
c(32,40,20)t(24,32,28)t(40,32,20)s(16,48,20)+--
t(48,56,12)t(24,32,28)c(40,32,20)c(32,32,20)*++
s(24,40,28)c(32,32,20)*c(32,24,20)c(48,24,12)-*
s(48,48,20)s(32,24,20)+t(32,40,28)-t(40,24,20)+
c(24,32,20)s(48,24,20)s(32,24,20)*-t(24,40,20)-
s(40,16,20)s(48,40,20)s(32,40,28)*s(24,32,20)+-
s(32,24,20)t(32,24,20)c(40,16,12)+*s(40,16,20)*
t(32,40,28)s(32,32,20)t(16,48,12)s(16,24,20)+--
t(24,48,28)t(32,48,12)s(40,24,28)s(24,40,12)-++
s(24,24,20)s(32,24,28)t(24,24,12)-c(24,32,20)*-
s(24,40,28)s(24,32,20)-c(48,48,12)-s(32,24,20)-
s(24,40,28)t(40,48,20)t(32,48,12)+s(40,24,20)-+
s(48,48,20)s(48,40,12)-s(24,32,20)c(40,32,20)*+
s(48,16,20)s(32,16,12)t(32,48,28)c(32,32,28)*+-
s(48,48,12)c(32,40,12)+s(32,24,20)-c(32,40,20)+
c(32,24,20)s(48,32,20)s(40,48,20)s(48,40,12)-+*
t(40,16,12)t(48,24,12)c(24,48,12)++t(32,48,12)-
s(40,24,28)s(24,32,12)-c(32,24,20)s(24,40,20)*-
t(40,48,20)t(32,48,20)+c(32,48,12)t(40,32,12)++
t(32,40,20)s(40,32,12)+s(32,48,20)t(24,48,28)*-
s(48,40,12)s(24,16,20)+c(40,32,12)-s(32,32,28)-
s(16,32,12)s(16,16,20)s(40,24,20)-s(16,24,20)*+
c(40,32,12)s(24,32,20)s(32,40,20)s(24,32,28)**+
c(40,48,12)s(24,40,20)+s(16,32,12)-c(16,40,12)-
t(40,24,20)t(48,32,12)-s(8,40,12)+s(16,16,20)+
t(48,16,12)s(16,40,20)+t(40,48,12)+s(24,32,28)*
t(24,48,28)s(24,40,20)s(48,24,12)+t(40,40,20)+*
t(24,32,28)s(16,16,20)t(32,24,20)-s(8,16,12)--
s(48,48,20)t(32,24,20)c(40,32,12)+t(24,24,20)-+
c(40,24,20)s(40,40,28)*s(40,24,20)+s(32,32,12)-
t(32,48,20)t(40,56,12)s(32,40,20)s(40,48,20)*+*
s(48,40,20)t(40,16,12)s(48,48,20)+*c(48,16,12)+
s(16,48,20)t(24,40,28)s(40,24,28)-*s(40,8,12)+
s(32,24,28)s(48,32,20)t(24,40,28)t(32,40,28)*-*
t(32,24,20)c(24,48,12)+s(40,32,28)c(48,48,12)-*
t(32,48,28)s(48,48,20)+s(32,24,20)c(32,40,20)+*
c(32,16,12)s(8,40,12)s(48,24,20)+s(40,40,28)*+
s(24,48,20)s(40,48,12)-t(40,48,20)+s(16,48,12)-
t(32,48,28)s(24,48,12)-c(40,16,12)+c(40,32,20)-
t(24,40,28)s(24,16,20)s(48,32,12)+s(48,40,20)+-
s(40,24,28)t(24,56,12)s(32,32,28)+t(32,32,28)--
c(16,40,12)t(24,32,28)s(40,32,28)*c(24,16,12)-+
t(48,24,12)t(40,32,12)+c(32,48,12)+s(24,40,28)*
s(32,32,20)c(40,32,20)*s(24,40,28)t(24,32,28)**
s(8,32,12)s(48,48,20)+t(16,32,12)t(32,48,20)+-
t(24,40,28)t(48,56,12)+s(48,16,20)c(32,24,20)*+
s(32,32,28)t(24,40,28)*c(24,32,20)c(40,24,20)*+
c(16,48,12)s(16,32,20)c(24,24,20)c(24,32,20)**+
s(24,24,28)s(40,32,20)s(8,40,12)+s(32,24,12)-*
s(16,32,20)t(32,40,20)+s(48,32,20)+s(32,24,28)-
t(32,32,28)s(32,40,28)s(48,32,20)*c(40,16,12)+*
s(40,32,28)s(40,24,28)*s(24,24,28)c(40,40,12)-*
s(24,24,12)s(24,48,20)+t(16,56,12)t(40,24,20)++
s(40,40,28)c(40,24,12)-c(16,40,12)-s(32,40,20)*
s(24,40,28)t(16,48,12)-s(24,48,20)-c(32,32,20)*
t(16,40,12)t(40,40,12)+c(24,24,20)c(32,24,12)-+
t(32,48,20)t(32,40,28)t(32,32,20)s(32,16,20)+*+
t(24,48,12)c(40,24,20)+s(48,24,12)-t(24,48,20)-
c(24,24,20)t(24,40,28)+s(16,40,20)c(32,40,12)+*
s(24,32,28)s(32,32,28)s(48,40,12)t(32,24,20)+-*
s(32,24,28)c(24,40,20)+s(40,32,12)-s(24,8,12)-
s(24,24,20)s(24,24,28)t(24,32,28)*s(16,40,20)--
c(24,32,12)s(40,40,20)s(32,40,20)*+s(24,24,20)*
c(24,40,20)t(40,48,12)-s(40,40,28)*c(32,24,12)-
s(48,32,20)c(32,40,12)-s(40,16,20)s(24,16,12)--
s(48,40,20)t(24,32,28)c(32,40,12)s(24,48,20)++-
s(16,48,12)s(24,24,28)+s(16,40,20)s(16,16,20)-*
s(40,32,20)t(32,40,28)c(24,32,20)*t(32,24,12)--
s(32,32,28)t(40,24,20)-t(24,32,12)-t(24,40,28)*
s(24,48,20)s(24,32,12)s(32,8,12)+t(32,48,28)+*
s(32,40,28)s(16,48,20)t(24,48,28)t(24,24,12)+**
c(32,32,20)t(24,32,28)s(16,24,20)*-s(32,48,20)-
s(40,40,28)s(32,48,20)s(48,24,12)+-t(40,32,20)-
t(24,32,20)s(32,48,20)s(24,40,12)-s(40,48,20)*-
c(40,24,20)c(32,24,20)c(32,24,12)-s(24,24,12)-*
s(32,32,20)c(40,32,12)t(24,24,20)+t(24,24,12)-*
s(24,24,20)s(32,40,28)+s(40,40,20)t(32,56,12)+*
s(32,32,20)c(32,24,20)*t(32,24,12)c(24,32,12)+*
c(24,32,20)s(32,16,20)t(32,24,20)+*t(32,24,20)*
s(40,32,28)s(32,48,12)-t(40,48,12)s(16,48,20)++
s(24,40,20)c(40,32,20)c(24,48,12)t(32,40,20)+*-
s(32,24,28)s(24,32,28)s(40,24,28)*s(40,32,20)*-
t(32,48,20)t(48,32,12)c(32,32,12)s(16,32,12)++-
s(16,48,20)s(16,8,12)+s(16,32,12)+t(24,40,28)-
t(32,32,28)t(32,40,28)s(24,40,20)*+t(24,40,12)-
s(32,24,28)c(40,40,12)-s(32,24,20)*c(40,32,20)+
s(24,40,28)c(32,32,20)s(32,40,28)*s(24,24,12)-*
t(32,56,12)c(32,40,20)t(24,32,28)*t(40,24,20)-+
t(24,48,28)s(32,40,12)-t(40,32,12)+s(40,40,12)-
t(40,32,20)c(40,40,20)s(32,48,20)+c(24,40,20)-+
s(32,48,20)t(32,40,28)t(32,16,12)+c(24,16,12)-+
s(40,48,20)t(24,40,28)-s(48,16,20)+c(16,48,12)+
t(32,24,20)c(32,24,20)c(32,32,12)-s(32,24,12)+*
s(40,40,28)s(48,32,20)s(48,40,12)s(16,48,20)++*
s(40,40,20)s(24,40,28)s(32,40,28)*s(24,48,20)*+
c(24,32,20)c(32,32,20)t(32,40,20)s(32,8,12)+**
s(40,16,20)s(8,48,12)s(16,16,12)++t(24,32,28)*
s(40,32,20)t(32,40,28)t(40,16,12)+*s(48,32,12)-
s(24,16,12)s(24,48,20)c(48,24,12)++c(40,40,20)+
s(16,48,20)t(24,40,28)t(32,32,20)t(24,32,28)*-+
t(24,32,28)s(16,40,20)s(16,48,20)*s(32,40,28)+*
t(32,48,28)t(24,40,28)t(32,48,28)+c(32,24,12)-*
s(16,32,20)c(32,32,28)s(48,48,12)-t(32,40,20)*+
c(32,32,20)t(40,24,20)c(48,40,12)+*c(32,24,20)*
s(48,16,12)s(40,40,20)s(48,48,20)c(32,40,12)--+
s(24,16,20)t(48,56,12)t(48,40,12)s(32,24,20)++*
s(32,32,28)c(24,24,20)-s(48,16,20)+s(40,40,12)-
s(24,40,28)t(32,48,28)t(40,24,20)t(24,48,28)+**
c(48,24,12)c(24,24,12)+t(40,24,20)t(40,56,12)+*
s(16,32,20)c(32,40,12)-s(24,16,20)t(32,32,28)--
s(48,32,12)c(40,24,12)+s(48,24,20)*c(24,40,12)+
c(32,32,20)c(24,24,12)-s(40,24,20)+c(24,16,12)+
c(40,40,20)s(16,40,20)s(40,40,20)s(48,40,20)*+*
c(32,16,12)t(32,24,12)t(48,40,12)++s(16,16,20)-
s(16,48,20)s(16,32,12)t(48,16,12)+c(40,32,12)++
c(40,16,12)s(40,40,28)+t(32,48,28)-c(32,32,20)*
s(40,40,20)s(32,16,20)c(32,32,20)s(48,40,20)*+*
s(48,32,12)s(24,32,20)t(16,40,12)-+t(24,32,12)-
s(24,32,28)s(32,40,12)-s(8,16,12)s(16,32,12)+*
c(32,32,28)s(32,40,20)-s(32,32,28)t(32,24,20)--
s(48,24,20)t(40,40,20)s(32,32,20)s(32,48,20)*+-
s(32,24,20)s(40,32,28)*s(48,40,20)s(40,16,20)+*
c(40,40,20)c(40,40,20)s(32,16,20)+s(24,24,20)*-
s(32,32,20)t(48,16,12)s(32,40,28)+s(24,24,20)*-
s(32,48,20)s(40,32,28)*s(16,24,20)-t(16,48,12)+
t(24,32,28)s(24,16,20)s(32,40,28)c(24,40,20)*+*
t(40,32,12)c(40,40,20)c(32,32,28)c(48,40,12)-*+
s(48,40,20)s(40,48,20)+s(40,16,12)+c(24,24,20)*
c(40,24,20)s(24,32,20)*t(32,48,28)s(40,40,20)-+
t(40,32,20)t(16,24,12)+c(32,24,20)c(40,40,20)**
s(32,32,12)c(32,16,12)+t(32,48,28)-s(32,48,20)+
s(32,16,20)t(32,32,28)t(40,24,12)t(24,32,20)++*
s(24,32,20)c(32,16,12)-c(16,40,12)+t(24,40,28)*
c(40,24,20)s(48,24,20)*s(40,24,28)c(24,32,20)*+
s(24,24,20)t(24,48,28)-s(24,40,20)s(48,40,20)--
s(48,48,20)t(40,32,20)s(32,24,12)+t(48,48,12)+-
t(40,48,20)t(40,32,12)t(24,48,28)t(16,48,12)-++
c(32,32,28)s(16,32,20)-c(16,16,12)c(40,24,20)+-
c(40,24,20)s(48,16,12)c(24,32,12)+-s(24,16,12)-
s(24,32,28)s(32,24,28)s(40,32,20)-t(24,32,20)+*
s(32,40,28)s(24,24,20)-s(32,32,28)s(32,24,20)-*
c(40,24,20)s(40,40,12)s(16,32,20)+t(32,32,28)**
s(32,32,28)t(40,32,12)-s(32,40,20)t(16,48,12)-+
s(24,8,12)t(32,48,20)+s(40,48,20)+t(32,40,12)-
s(48,16,20)s(16,40,12)+t(24,24,12)+s(40,40,28)-
c(32,40,20)s(48,40,20)-s(40,32,28)*s(24,8,12)+
t(16,24,12)s(32,48,20)+s(32,40,28)s(40,24,20)*-
t(24,16,12)c(40,32,20)s(8,8,12)s(40,24,28)+*+
s(48,24,20)c(32,32,28)c(24,40,20)t(32,48,20)--*
c(40,32,20)t(32,40,12)-s(24,32,20)s(32,16,12)--
s(16,32,20)c(24,24,20)s(40,32,12)s(16,16,12)+*-
s(24,40,28)s(48,48,20)s(16,16,20)+*s(40,40,12)-
c(40,40,20)s(32,24,28)+t(24,48,28)*c(24,40,20)*
c(32,32,28)s(24,32,20)c(24,24,20)*s(24,40,28)*-
s(40,40,28)s(32,32,28)s(24,40,20)*c(32,32,12)--
s(16,32,20)s(32,24,20)-t(40,48,12)t(24,48,12)+-
c(40,24,20)t(24,40,28)+t(24,48,28)*t(32,32,12)-
t(24,32,28)c(16,48,12)+s(32,32,20)*s(32,24,12)-
s(24,32,28)t(32,24,20)*s(16,8,12)+c(32,32,12)+
s(32,32,20)t(24,24,20)t(40,32,20)+c(24,24,20)**
s(24,40,20)s(40,40,28)t(24,32,28)-s(40,40,20)*+
s(32,32,12)s(32,24,12)t(16,48,12)+t(48,32,12)++
c(32,24,20)s(48,32,20)t(24,32,28)+*s(40,40,12)-
s(40,16,20)c(48,24,12)-t(48,48,12)t(24,24,20)++
c(32,40,20)s(32,24,28)s(48,24,20)t(16,24,12)+-*
c(32,24,20)s(40,40,12)s(48,48,12)+s(32,40,28)*+
t(40,40,20)t(32,32,28)s(40,32,28)s(40,40,20)--+
t(24,48,28)s(24,40,28)t(24,40,20)s(48,40,20)--*
c(48,24,12)s(16,40,20)t(24,40,12)-+t(24,24,20)+
s(32,24,28)c(32,16,12)s(24,24,20)s(32,32,20)-+-
s(24,32,28)c(32,40,20)c(24,24,20)t(32,32,20)*-*
s(8,24,12)t(32,24,20)s(40,48,12)+t(24,32,20)-+
c(40,48,12)s(48,32,12)+s(24,40,12)+s(48,24,20)-
s(32,16,20)s(32,24,20)s(48,24,20)t(48,56,12)+*-
c(24,40,20)s(16,32,20)+s(24,32,20)t(24,40,20)-*
s(32,24,20)s(24,32,28)t(32,48,28)-*s(24,16,20)+
t(32,16,12)s(24,48,20)c(40,32,20)-+t(40,24,20)-
s(32,24,28)c(16,16,12)-c(32,40,20)*c(16,24,12)-
c(24,24,20)t(24,56,12)t(32,16,12)+c(40,32,20)+*
s(16,48,20)s(16,24,20)s(32,32,20)--s(32,48,20)*
c(32,40,20)t(32,40,28)*s(40,48,12)s(48,48,12)+-
s(24,32,12)s(24,48,20)+t(24,48,28)*c(40,40,20)*
c(16,40,12)t(32,48,28)c(40,40,20)+t(24,40,20)-+
s(24,24,20)t(24,40,20)s(32,24,28)+t(32,32,20)-*
s(24,24,28)s(40,16,12)s(16,48,12)++t(40,48,20)+
t(24,48,28)c(24,32,12)s(48,48,20)+c(16,24,12)-*
s(32,32,20)s(24,24,28)+t(32,24,12)-s(48,40,12)+
s(16,48,12)s(40,32,28)s(40,40,20)-t(32,48,28)-+
t(48,24,12)c(40,40,12)t(40,56,12)+t(40,32,20)++
s(24,40,28)t(32,40,28)*s(24,32,28)s(16,40,20)*-
s(40,24,20)s(40,32,20)+s(8,16,12)+s(16,24,20)*
t(32,48,20)s(40,16,20)t(48,16,12)-t(16,56,12)+-
s(32,40,28)t(40,48,20)-s(32,40,28)s(32,32,20)-+
s(32,24,20)s(40,16,20)c(32,32,20)*t(40,16,12)+-
s(24,48,20)t(16,32,12)c(40,40,20)+*s(24,16,12)+
s(40,24,28)c(40,40,12)-c(40,32,20)c(40,48,12)-*
t(24,40,28)t(32,24,20)+t(32,24,12)-s(16,24,12)-
c(32,32,20)t(24,32,28)c(24,16,12)t(32,40,12)+**
c(32,32,28)s(8,16,12)s(32,32,28)+*t(32,40,12)-
s(16,16,20)c(32,24,20)c(16,24,12)-s(8,16,12)+*
t(40,48,12)c(16,24,12)+t(40,24,20)+s(24,48,20)-
t(48,24,12)t(32,40,20)+s(32,48,12)-s(48,48,20)-
s(48,48,20)s(32,24,12)t(32,56,12)+t(24,40,20)-+
s(16,16,12)s(8,40,12)+s(32,48,20)s(24,32,28)*+
s(32,16,20)c(32,32,20)+c(40,32,20)s(40,40,20)--
c(16,40,12)s(48,24,20)+s(32,40,28)*s(24,24,28)*
t(24,48,28)t(32,16,12)t(24,32,20)t(32,32,12)-++
s(24,40,28)s(16,32,20)*s(16,40,12)-s(40,32,12)+
s(40,24,20)s(48,40,12)-s(48,24,20)*s(48,32,12)+
s(32,32,28)c(48,24,12)-c(32,40,12)-s(48,40,12)-
s(8,32,12)t(32,24,20)t(24,48,28)-s(8,48,12)++
s(24,32,20)s(40,48,20)c(32,24,12)c(24,32,12)+--
s(16,32,20)s(40,48,12)t(24,48,20)s(8,32,12)++*
s(40,32,20)s(32,40,20)t(40,24,20)--t(32,24,12)-
t(32,32,12)t(24,40,20)s(16,40,20)*+s(8,48,12)-
s(24,40,28)s(40,40,20)t(32,24,12)+s(24,32,12)-*
t(24,32,20)t(40,40,20)s(8,48,12)+c(48,24,12)++
s(24,16,20)t(24,32,28)+s(32,24,28)*s(40,32,28)+
s(16,16,12)s(24,40,28)s(16,24,20)-+s(8,48,12)-
t(24,48,28)s(24,32,28)+t(16,32,12)c(40,16,12)+*
s(40,24,28)t(24,48,28)c(32,32,20)s(32,16,12)-*-
s(40,24,28)c(40,32,20)*s(48,32,12)t(40,48,20)+*
s(48,40,20)t(48,32,12)-c(24,40,12)+t(24,32,12)-
s(40,24,28)s(40,32,28)t(32,56,12)+*s(24,40,12)-
s(40,32,28)c(24,40,20)t(16,16,12)+s(40,32,28)*-
s(16,16,20)c(24,32,20)+s(24,24,28)+s(40,48,20)-
s(48,32,20)t(48,40,12)-t(40,16,12)-t(32,24,20)-
t(32,48,28)s(16,24,20)s(16,32,20)++s(16,48,20)*
s(24,16,20)s(32,24,28)s(32,32,20)-c(24,32,20)+*
s(40,40,20)c(24,32,20)+s(40,24,12)-s(16,16,12)-
c(32,32,20)s(32,16,12)-s(48,24,20)s(24,48,12)+*
s(24,24,28)s(48,40,20)c(40,32,20)s(24,40,12)-*-
c(24,32,20)t(48,56,12)s(24,40,20)+c(32,32,28)*-
s(32,24,20)t(24,16,12)s(32,32,12)+c(24,48,12)+-
c(32,32,20)s(40,40,20)s(24,40,20)+s(16,40,20)**
t(24,32,28)s(16,8,12)s(24,32,28)s(32,16,12)-+*
t(24,24,20)s(8,48,12)t(32,24,12)++c(32,16,12)-
s(24,32,28)s(24,16,20)s(40,24,28)s(32,40,20)*-+
t(40,24,20)c(24,48,12)+c(40,24,12)t(40,48,12)+-
s(16,16,20)t(16,56,12)s(24,16,20)s(8,8,12)-+*
t(24,32,20)t(40,32,12)+t(40,40,12)-s(32,40,28)*
t(24,48,28)s(32,32,28)s(24,40,20)s(32,40,20)+**
t(40,32,20)t(32,48,28)+s(16,24,20)+c(32,32,28)+
s(24,24,20)t(32,32,28)s(32,48,20)-*s(16,8,12)+
c(40,32,20)c(32,32,28)s(24,40,12)-s(16,32,20)-*
s(32,24,28)t(48,48,12)t(40,40,20)s(48,32,12)-+-
c(40,40,20)c(24,40,12)s(8,40,12)+s(40,24,12)+-
s(32,40,28)s(16,32,20)-s(24,32,28)s(48,24,20)--
t(24,40,28)c(32,24,20)*c(40,24,20)s(40,8,12)-+
s(32,48,20)s(32,32,20)s(16,40,20)++s(32,24,28)-
t(40,24,20)s(40,40,12)-c(32,16,12)+c(48,16,12)-
t(24,32,28)s(24,40,20)c(40,40,20)+s(40,40,28)+*
t(16,56,12)s(32,48,20)c(32,32,20)*+s(24,40,20)*
t(32,32,28)s(48,40,20)s(16,8,12)c(16,24,12)+++
s(40,32,28)s(24,40,20)t(16,40,12)--c(32,24,20)-
s(40,32,20)s(40,24,20)*c(32,32,20)s(40,16,12)+*
t(40,56,12)t(32,32,20)s(48,16,20)-c(16,48,12)-+
t(24,24,20)s(24,40,12)s(48,40,20)t(24,48,12)++-
t(40,40,20)c(24,48,12)-s(16,40,20)s(32,32,20)-+
s(24,24,28)t(24,32,20)s(32,48,12)-t(48,56,12)++
t(24,40,28)s(40,40,12)+c(24,32,20)*s(48,16,20)+
s(40,16,20)c(40,24,12)-s(40,24,28)t(32,40,28)*-
c(40,40,20)t(40,24,20)-s(40,32,28)s(40,24,28)*-
s(48,40,20)t(32,32,28)+s(48,24,20)c(32,32,20)*-
s(32,32,28)c(24,32,20)-s(24,24,20)t(40,40,12)++
s(16,16,20)s(16,40,12)+t(24,16,12)-s(40,24,28)-
c(48,48,12)s(24,16,12)+s(32,40,20)+s(40,32,20)*
c(40,48,12)t(24,48,28)+s(16,32,20)-s(32,48,20)*
t(16,24,12)t(24,32,28)s(24,24,20)*s(16,32,20)*+
s(32,40,20)s(16,48,20)-s(32,24,20)+t(32,48,28)*
c(32,16,12)c(24,24,12)+t(48,32,12)+s(16,40,20)-
s(24,24,28)c(32,32,20)s(24,48,20)-s(32,48,20)-*
t(24,48,28)c(40,32,20)c(32,32,20)*c(40,16,12)--
s(40,40,20)c(32,16,12)s(48,24,20)+s(32,8,12)--
t(32,40,28)s(40,48,20)t(32,56,12)-t(32,48,28)*-
s(40,48,20)s(32,40,28)c(32,32,20)*c(32,40,20)*-
t(24,32,28)s(16,48,20)s(24,40,28)*-t(40,32,20)-
s(48,24,20)c(40,32,12)t(40,40,20)+-s(24,24,28)-
s(40,40,28)s(24,40,20)s(40,24,20)-+s(40,24,12)-
s(24,40,20)t(16,32,12)c(32,48,12)+*t(40,48,20)+
t(24,48,20)t(24,32,20)s(40,8,12)+c(24,24,12)++
s(32,40,20)c(32,32,20)*s(32,32,20)*t(32,48,28)*
s(40,32,28)t(40,32,12)-c(24,40,12)-s(24,16,20)-
s(40,40,28)t(24,48,28)t(24,24,20)-*s(24,48,20)*
s(32,32,20)s(24,48,20)-c(32,40,20)+s(40,40,28)*
s(32,48,20)t(24,48,28)*t(24,24,12)s(24,48,20)+*
s(16,32,20)c(24,24,20)s(24,48,12)+*t(32,32,12)-
t(24,40,28)s(40,40,28)*t(24,56,12)-t(32,32,28)*
s(32,32,28)t(32,48,20)t(40,40,12)t(24,40,28)+*-
c(24,32,20)s(40,40,12)-t(40,24,12)-s(16,40,12)-
t(48,48,12)s(24,24,28)+s(32,32,20)c(32,40,20)**
c(32,32,28)t(40,48,20)-s(32,40,28)*t(24,40,20)*
t(24,48,28)t(32,48,20)s(24,24,20)+c(40,48,12)-*
t(24,40,20)c(16,40,12)+s(24,32,20)+s(24,48,20)-
s(8,24,12)s(32,16,20)s(24,48,20)+c(24,48,12)-+
t(32,32,20)s(32,40,20)*s(32,24,20)+t(40,40,20)+
t(24,32,28)t(32,32,20)c(40,24,20)*c(40,48,12)+*
s(16,48,12)t(24,32,28)+s(32,48,20)+c(24,32,12)-
c(32,40,20)s(40,48,20)t(32,40,28)c(32,24,12)+*-
c(32,32,20)c(48,16,12)-t(24,32,28)t(24,32,12)-+
s(24,40,20)t(24,32,12)s(40,40,12)+s(48,32,12)--
s(24,32,28)s(48,24,20)t(24,40,20)s(40,32,28)+*-
s(48,32,20)c(32,32,28)*s(16,24,20)+s(40,40,28)*
t(32,32,28)t(32,48,28)s(32,32,28)s(32,48,20)*-+
c(40,32,20)t(24,24,20)c(32,40,20)+*t(32,32,20)*
c(32,40,20)c(24,40,20)*c(40,24,20)-t(24,24,12)+
t(32,48,28)c(48,24,12)s(24,16,12)++s(40,40,28)*
s(16,32,20)s(32,16,20)c(32,24,20)s(24,24,20)*+-
s(40,40,20)c(24,40,20)s(48,24,20)-+c(40,32,20)*
c(40,40,20)c(48,24,12)+c(24,32,12)+t(40,40,12)-
c(24,24,20)s(32,32,28)s(32,40,28)c(40,40,12)-**
s(40,40,20)t(16,24,12)s(40,40,20)t(24,40,28)*++
t(24,40,28)s(32,24,28)s(40,32,28)s(48,24,20)-*-
c(32,32,20)c(40,40,20)*s(24,48,12)-s(40,24,12)-
t(32,32,12)s(48,16,20)t(48,16,12)-+c(24,32,12)+
s(40,40,28)t(24,32,28)t(24,40,28)**t(24,56,12)+
c(24,40,20)s(32,24,20)s(24,32,28)*s(24,8,12)+*
t(32,48,20)s(8,40,12)+c(40,32,20)s(48,40,20)*+
t(40,48,20)s(8,32,12)+t(24,48,20)t(32,48,28)*-
c(32,32,20)s(24,16,20)-t(16,56,12)+s(48,8,12)+
s(40,16,20)t(32,48,28)c(32,40,20)s(32,32,20)**+
c(32,24,20)s(32,32,12)t(40,24,20)+s(48,40,12)+*
s(32,24,20)c(40,40,20)s(32,48,20)t(24,40,20)+*+
s(48,48,12)s(24,48,20)t(16,16,12)++c(24,40,20)-
s(40,24,28)s(48,16,20)t(40,24,20)+c(24,40,20)-*
s(24,40,28)t(40,32,20)s(32,40,28)s(16,48,20)+*-
c(48,48,12)s(24,32,20)c(40,24,20)*c(40,16,12)++
s(24,40,28)s(32,32,12)-s(24,24,28)*c(16,16,12)-
s(24,16,20)c(40,32,12)s(24,24,20)s(24,16,20)*+*
s(16,32,20)s(32,32,28)s(16,32,20)*s(32,40,20)+*
c(24,40,20)c(40,32,12)t(32,48,28)c(40,40,20)*+-
t(40,32,20)t(40,48,12)+s(24,32,28)*t(32,48,20)+
c(32,32,20)c(40,40,20)s(32,40,28)*t(40,24,12)--
t(48,16,12)s(40,40,20)+c(48,48,12)-s(48,16,20)+
t(32,32,20)c(16,24,12)-s(32,32,28)c(24,48,12)-*
s(48,32,20)s(24,16,12)+t(24,40,28)+t(24,48,28)*
s(32,40,20)t(24,40,12)-s(40,32,28)t(32,24,20)*-
t(32,48,28)s(32,8,12)+s(24,32,28)c(24,40,20)*-
s(32,24,28)t(24,32,28)t(24,24,12)-+c(40,40,20)*
c(24,16,12)c(32,48,12)s(40,40,12)+c(32,32,20)*+
t(32,40,20)t(32,48,28)t(24,32,28)*s(40,32,12)+*
c(40,40,20)s(40,40,28)s(24,40,28)t(32,32,20)--*
s(40,32,20)c(24,32,12)t(40,24,12)+t(32,16,12)+*
t(24,32,28)s(24,48,20)t(32,48,20)s(16,40,20)+**
s(40,40,20)s(40,16,20)+s(40,16,12)t(48,32,12)+-
c(40,32,20)c(40,32,12)-s(48,40,20)c(24,16,12)+*
s(40,40,28)t(40,24,12)-t(32,48,28)s(16,48,20)+*
s(32,16,20)t(24,32,28)-s(32,40,20)+c(32,40,20)*
s(16,16,20)s(40,32,28)t(32,32,28)t(48,48,12)+*-
t(32,48,12)s(40,32,20)t(32,24,20)-c(32,16,12)++
s(48,24,20)c(32,32,20)s(24,40,28)*t(32,32,20)*+
s(40,16,20)c(40,24,20)*t(32,40,28)s(40,16,12)++
s(8,16,12)s(24,32,20)s(24,40,12)-s(40,48,20)++
t(32,32,28)c(24,40,20)+s(16,24,12)-s(40,32,28)*
s(32,32,28)t(24,32,12)-s(40,32,20)t(40,48,20)-*
c(32,32,28)s(40,40,28)t(32,24,20)-t(48,40,12)-*
t(24,48,12)s(40,24,28)t(32,32,28)*s(32,24,12)-+
s(8,32,12)t(32,56,12)+c(32,24,20)+t(40,48,20)-
s(24,40,20)c(40,24,20)s(32,32,20)*c(16,24,12)--
s(8,48,12)s(32,40,12)+s(40,40,20)s(24,48,12)--
s(48,24,12)s(40,8,12)s(16,32,12)t(48,24,12)+++
t(32,56,12)t(32,32,28)+s(40,40,20)*t(48,32,12)+
c(16,40,12)t(16,48,12)s(32,32,20)++t(24,40,12)-
s(40,40,28)c(40,24,20)-t(40,32,20)c(24,40,12)+-
s(48,24,20)c(24,24,20)t(32,32,12)--c(24,40,20)-
t(24,32,28)c(40,32,20)t(32,24,20)t(24,40,20)+*+
s(40,40,20)s(24,16,12)s(48,48,20)+s(40,32,28)*-
c(40,16,12)s(16,48,20)t(24,48,20)*+s(24,32,28)*
s(48,32,20)s(40,40,28)t(24,40,28)*-s(40,32,28)*
c(40,40,20)s(8,8,12)+s(16,32,20)-s(40,32,12)-
s(24,24,28)s(24,40,28)*s(24,32,20)*s(40,24,28)*
t(32,56,12)s(40,8,12)s(48,48,20)s(40,24,28)-++
c(40,32,12)c(48,48,12)+t(40,40,20)*s(16,40,12)+
s(24,32,28)s(32,16,20)s(40,48,12)s(48,32,20)++*
t(24,40,28)t(48,32,12)s(32,40,20)c(24,40,20)*+-
t(32,32,28)c(24,24,20)c(40,16,12)-s(40,40,28)*-
t(24,32,28)s(16,8,12)+c(16,24,12)s(40,48,20)+*
c(40,40,20)t(40,32,12)s(32,8,12)+t(24,48,20)+*
s(40,32,28)s(16,40,20)+s(40,8,12)c(32,32,12)+-
t(40,48,20)s(32,24,28)s(16,32,20)-s(48,16,12)-+
c(32,32,12)s(8,40,12)+s(24,24,28)*c(32,40,20)*
c(24,32,20)s(40,40,20)+t(24,40,12)-s(24,24,28)*
s(24,40,28)t(24,32,28)*t(32,48,28)s(32,40,28)**
t(32,40,20)s(32,24,20)c(16,40,12)t(24,32,12)+-+
c(24,24,20)c(32,32,20)t(32,40,28)*+t(32,48,28)*
c(32,40,20)t(24,24,20)c(48,32,12)++s(48,48,20)-
s(40,40,28)t(48,32,12)-s(48,24,20)-c(40,16,12)+
s(32,32,28)s(16,48,20)s(48,40,20)+*s(48,32,20)*
t(32,32,20)s(16,24,12)c(16,32,12)+s(24,32,20)*-
c(32,32,20)s(16,16,20)-s(24,40,20)-t(48,56,12)+
s(8,24,12)s(24,48,20)+t(24,48,28)s(32,32,28)+*
s(40,24,20)c(24,40,20)c(24,24,20)t(24,40,20)+*-
t(40,24,20)c(48,48,12)+s(32,40,28)t(16,40,12)-+
s(40,40,28)t(40,40,20)s(48,40,20)*-s(32,40,28)*
t(32,32,28)c(32,32,20)c(24,24,12)-c(40,32,20)+*
c(16,40,12)s(48,24,12)+t(16,32,12)-t(24,48,12)-
t(24,40,20)s(24,24,12)-t(32,32,12)+t(24,40,20)*
s(24,24,28)s(24,40,12)-s(40,32,20)s(48,40,20)--
c(40,40,20)t(48,16,12)+s(48,32,12)-c(32,24,20)*
s(16,48,20)t(24,24,20)s(40,32,28)+t(16,56,12)+*
c(32,32,20)s(16,32,20)c(40,40,20)--s(24,24,20)+
s(32,24,28)s(24,48,20)t(40,24,20)+t(32,40,28)**
c(32,24,20)s(24,32,28)c(40,40,12)-t(24,32,12)--
s(48,16,20)t(16,56,12)t(40,32,20)t(32,40,12)-++
s(32,16,20)s(16,24,12)s(40,40,12)+t(32,40,20)--
s(40,32,20)t(32,40,28)*t(32,48,28)c(32,16,12)+*
c(40,40,20)t(24,48,20)s(24,24,20)-t(32,32,12)+*
c(24,32,20)t(24,48,20)-t(24,48,20)+t(32,40,28)-
t(24,48,20)s(32,32,12)+t(24,48,28)s(40,32,28)*-
s(32,16,12)t(24,32,28)s(32,24,20)-+s(40,8,12)-
s(24,32,28)c(32,40,20)c(24,24,20)*-s(40,16,20)-
s(32,32,20)c(24,48,12)-s(48,16,20)c(32,32,28)*-
s(32,24,20)s(40,40,28)t(40,32,12)-s(40,16,12)+*
s(24,24,20)s(32,24,20)t(32,40,20)-s(16,24,12)+*
s(40,40,20)s(40,48,20)s(8,40,12)+s(48,48,20)+*
s(48,32,20)c(32,32,20)t(24,48,28)t(40,40,12)+*-
s(48,40,12)t(32,32,28)c(40,32,20)t(24,32,28)--+
s(24,32,20)s(40,24,28)s(32,40,28)*s(24,40,12)-+
s(40,16,20)t(48,40,12)+c(40,24,12)-t(24,24,20)-
t(32,32,28)c(32,40,20)s(8,48,12)+*c(16,48,12)+
s(32,32,28)t(24,48,28)s(40,8,12)t(24,32,28)+*-
s(40,40,20)c(32,40,12)t(24,48,20)+-s(16,24,12)+
s(32,24,28)t(24,40,20)-s(40,40,28)t(16,24,12)+-
c(40,32,20)s(16,48,12)t(24,32,28)s(32,24,20)-+-
s(24,32,28)c(32,32,20)s(32,40,20)*-s(24,48,20)-
c(40,24,20)t(24,32,28)s(40,24,28)*t(24,48,20)+*
s(40,32,20)s(24,48,20)-s(32,8,12)+t(32,32,28)+
s(32,32,12)s(8,16,12)+c(16,16,12)-t(32,40,28)+
s(24,48,20)c(32,24,20)+s(24,40,28)*c(24,24,20)*
s(32,40,20)s(32,24,28)s(24,48,20)--s(24,32,20)+
t(32,32,28)s(32,48,20)-s(40,24,20)s(40,32,20)*+
s(40,32,28)s(24,16,20)s(32,32,28)c(40,40,20)*--
s(32,40,20)s(48,32,20)t(32,40,12)-c(48,16,12)++
c(32,40,20)s(24,8,12)t(24,32,28)s(24,24,12)-+-
s(40,24,28)s(48,40,12)-s(32,32,20)s(24,48,12)-*
t(24,48,28)c(40,16,12)c(24,32,20)+-t(40,48,12)-
c(32,40,20)s(40,24,28)c(24,32,20)t(32,56,12)+**
s(40,48,12)t(32,48,20)+s(48,24,12)+c(48,48,12)+
c(48,40,12)t(40,24,20)s(40,40,20)+t(24,32,28)*+
t(24,40,28)s(40,16,20)+s(32,48,20)-s(24,16,20)*
c(24,24,20)s(24,40,28)-s(40,48,20)+s(24,48,20)-
c(24,32,20)s(24,16,12)-s(40,24,12)-s(32,32,28)*
s(40,40,28)c(24,32,20)+s(48,24,20)*t(24,40,20)+
c(24,32,20)s(16,32,20)s(16,48,20)*-c(16,24,12)-
c(40,24,20)s(40,32,28)s(40,40,12)s(40,8,12)+-*
c(32,32,20)s(8,24,12)+t(24,32,20)-t(24,48,28)-
s(32,24,28)c(24,24,12)-t(24,40,20)-s(32,40,28)*
t(32,40,20)c(40,40,20)s(24,40,20)*s(24,48,12)+*
s(32,24,20)s(24,40,28)c(32,24,20)**s(48,24,12)-
s(32,24,20)s(40,40,28)t(32,40,28)t(40,48,12)---
s(24,48,12)c(24,32,20)s(32,40,20)*t(32,32,20)++
s(48,40,12)s(16,24,20)+s(24,8,12)-c(24,32,20)*
c(40,48,12)s(32,48,12)t(32,40,20)++s(48,40,12)+
t(40,32,20)s(16,24,20)+s(24,40,12)t(32,24,20)+*
t(40,56,12)s(48,16,20)c(24,32,20)++t(24,40,20)-
s(48,32,20)c(48,48,12)+t(32,48,20)-s(40,40,20)*
t(32,32,20)t(40,32,20)+c(32,32,20)c(24,16,12)-*
c(32,32,20)s(24,32,28)*c(24,40,12)c(24,16,12)+*
t(24,24,20)t(40,56,12)s(40,24,12)++c(40,32,20)-
c(32,32,12)s(40,24,20)+s(16,24,20)t(32,40,28)+*
s(32,32,20)s(24,32,28)s(32,32,28)+c(40,24,12)-+
s(40,24,28)t(40,24,20)s(40,32,12)+t(24,48,28)--
t(32,32,28)s(16,40,20)t(40,24,12)+s(24,32,20)**
s(24,40,28)c(32,40,20)s(40,40,20)++c(32,24,20)*
s(40,32,28)s(40,24,28)+s(32,40,28)c(40,40,20)**
s(40,40,20)t(32,48,20)t(32,32,20)+s(24,32,12)-+
c(40,24,20)t(24,56,12)s(32,8,12)+s(40,48,20)-+
s(40,24,12)t(32,40,12)t(24,32,28)s(24,24,20)*++
s(24,40,20)s(40,40,28)t(32,24,20)-t(32,32,20)+*
s(48,32,20)t(32,40,12)-t(32,32,20)-s(48,16,20)+
s(16,16,12)s(40,40,28)+t(32,32,28)s(16,16,12)+-
s(32,32,20)s(24,48,12)c(24,32,12)+t(24,40,12)-+
t(24,40,20)s(48,48,20)s(48,32,12)s(24,48,20)++*
c(24,32,20)c(32,32,20)t(40,48,20)-t(24,32,20)--
c(40,32,20)c(24,40,20)c(24,24,20)--c(40,40,12)-
s(40,32,20)c(24,24,20)c(40,16,12)-s(16,32,20)*-
s(24,32,28)t(32,32,28)*t(24,32,28)*s(40,32,28)*
s(32,40,20)s(24,48,20)+t(40,48,20)s(40,24,20)+*
s(24,40,28)c(40,40,12)-s(40,16,20)s(40,40,28)+*
s(16,48,12)t(40,24,12)+t(32,24,20)s(24,24,20)*-
s(8,40,12)c(40,32,20)s(16,40,20)-s(48,48,20)*+
s(48,48,12)s(48,24,20)s(48,16,12)-s(32,16,12)-+
s(24,40,20)s(24,40,20)s(40,24,28)-s(40,32,20)+*
c(40,40,20)c(32,32,20)*s(8,40,12)+s(24,24,20)-
s(32,32,28)s(48,32,20)s(8,48,12)+-c(24,32,20)*
s(24,40,28)s(24,24,28)*t(32,40,20)-c(24,16,12)+
c(16,16,12)s(40,32,28)s(24,40,20)c(40,32,20)*-+
c(24,40,20)s(48,24,20)s(48,16,12)-t(40,56,12)++
c(24,24,20)t(48,16,12)+s(40,8,12)+t(24,40,28)+
s(40,16,20)s(48,32,20)c(40,48,12)s(40,16,20)+-+
s(24,48,20)c(32,32,12)+t(16,56,12)-s(40,40,20)-
c(16,40,12)c(32,32,20)c(40,40,12)-+t(24,32,20)*
t(24,48,28)t(48,48,12)t(32,32,20)+c(40,40,20)+-
s(32,32,28)t(24,48,12)s(40,24,20)++s(24,48,20)*
s(24,24,28)c(32,24,12)-t(40,32,20)s(16,8,12)+-
s(24,40,20)c(24,48,12)s(16,24,20)+c(32,32,20)--
t(40,48,12)s(40,40,12)+s(8,32,12)+c(48,48,12)-
t(48,32,12)s(32,40,20)s(16,48,20)-+s(24,32,28)*
c(32,40,20)t(32,32,28)c(40,40,20)t(24,40,20)---
s(24,40,28)t(40,40,20)t(32,32,12)+s(48,40,12)+*
s(32,40,20)c(40,32,20)c(24,16,12)t(40,40,20)+**
s(32,40,20)s(24,32,28)s(40,32,12)-s(24,24,28)*-
s(40,24,12)s(24,32,20)+t(32,40,12)c(16,16,12)++
s(40,40,20)s(40,16,20)c(40,24,12)s(24,48,12)++-
s(32,16,20)t(40,24,20)t(24,32,28)s(24,24,20)*+*
c(40,40,20)s(24,40,28)t(24,40,12)-*s(32,32,28)*
s(40,32,12)s(32,48,12)+c(24,40,20)s(8,48,12)-*
s(32,40,20)s(24,32,28)t(24,24,12)-*c(40,40,20)*
s(40,32,20)c(32,16,12)s(40,32,20)+s(16,24,20)-*
t(16,40,12)s(24,8,12)s(40,24,28)s(48,32,20)*++
s(24,24,28)s(32,8,12)-t(24,40,28)s(48,16,12)+-
c(24,32,20)c(48,32,12)+c(24,24,20)s(24,40,20)-*
c(16,32,12)c(40,24,20)+c(24,40,20)*t(24,32,12)-
s(32,24,20)t(32,24,20)s(40,40,12)-c(48,16,12)+*
s(40,48,12)s(24,24,20)+t(40,24,12)s(40,32,12)++
c(32,24,12)s(40,32,20)s(40,40,20)*+c(32,24,20)*
c(40,40,12)t(24,48,12)+s(32,40,20)*t(48,32,12)-
s(40,24,20)s(32,40,28)s(16,32,20)s(8,40,12)-*-
s(32,32,28)s(32,48,20)s(32,32,12)-c(32,40,20)**
c(40,24,20)s(48,32,20)t(40,16,12)+c(32,32,20)*-
s(24,40,28)s(48,48,20)-s(24,32,28)t(32,40,28)**
s(40,32,20)t(32,32,28)c(24,32,20)*c(40,40,12)--
c(40,40,20)c(32,40,20)s(32,48,20)**t(40,32,20)+
t(32,48,28)c(32,40,20)t(32,48,28)c(40,32,20)*--
c(32,40,20)t(16,40,12)s(32,40,28)s(48,48,20)*+*
s(48,48,20)s(32,40,28)s(48,32,20)*+t(32,32,20)-
c(40,40,12)s(24,24,28)+s(40,24,28)t(24,48,28)--
c(16,40,12)s(16,16,20)s(24,24,20)*+s(32,24,20)-
s(24,32,28)s(8,40,12)s(40,40,20)t(32,24,12)-+*
c(32,24,20)t(32,40,28)s(32,32,28)*c(32,48,12)-*
s(24,32,28)s(24,24,12)-s(16,40,20)c(32,32,20)+*
s(24,32,28)c(16,40,12)s(16,24,12)+t(24,40,28)+*
t(16,32,12)s(48,24,20)s(24,24,20)-s(32,16,20)-+
s(24,24,28)t(24,40,28)c(32,32,12)+c(32,40,20)**
c(32,32,28)s(16,24,20)-s(40,32,28)t(32,40,20)--
s(32,24,28)s(40,24,20)t(40,32,12)-*s(40,40,28)+
c(40,40,12)s(48,32,20)s(48,48,20)*+t(32,32,12)-
s(48,40,20)s(32,40,28)s(32,48,12)-+s(40,32,28)+
c(32,40,20)t(48,48,12)-t(24,40,20)*t(16,56,12)+
s(40,24,20)c(24,32,20)s(40,48,20)c(24,32,20)-+*
s(24,16,20)s(24,40,28)s(40,24,28)c(32,24,12)---
s(40,32,28)s(16,48,12)+t(16,40,12)c(40,32,12)+*
t(24,32,28)c(16,24,12)s(40,24,28)+*s(24,16,20)*
s(16,40,20)s(24,48,20)-s(32,32,28)+t(32,48,28)+
c(32,32,28)c(40,24,20)s(40,32,20)*-c(48,24,12)+
c(32,16,12)s(8,48,12)+t(24,32,28)+t(24,32,20)-
s(32,24,28)t(16,16,12)-s(24,24,12)-s(24,48,12)+
c(32,40,12)c(32,24,12)t(40,32,12)++s(32,48,20)-
s(24,48,20)s(32,24,20)c(24,40,20)s(24,24,28)**-
s(8,48,12)s(48,16,20)t(40,40,20)++s(40,40,28)-
t(40,40,20)c(24,40,20)s(24,32,28)*s(16,24,12)-+
s(48,32,20)s(8,48,12)c(40,16,12)t(24,32,20)++-
s(40,40,28)c(16,24,12)t(40,40,12)+-t(16,16,12)+
s(48,24,20)s(40,24,12)c(24,32,20)s(16,48,20)*+-
t(32,40,28)c(32,24,12)-t(40,40,20)+s(24,40,28)+
s(48,48,12)t(24,48,20)s(48,40,12)+s(32,48,20)*+
t(32,24,20)s(8,48,12)c(16,32,12)+s(48,48,12)++
s(32,24,20)s(48,24,20)t(24,48,28)+c(48,16,12)--
s(24,32,28)s(8,32,12)c(32,32,20)+*s(32,24,20)*
s(24,24,20)s(24,32,20)s(24,48,12)++s(32,24,12)-
s(24,32,28)t(32,32,28)*c(40,40,12)+t(32,16,12)-
c(32,32,28)s(24,40,20)s(24,24,28)*s(32,32,20)*-
c(32,32,20)t(32,48,12)-s(16,16,20)t(32,48,28)+-
c(40,24,20)s(16,40,20)c(24,32,20)s(40,40,20)*++
c(40,32,20)c(24,40,12)-s(24,24,28)t(24,40,20)--
s(32,32,28)s(40,40,12)s(24,48,12)+s(16,32,20)+*
s(40,24,20)c(40,24,20)s(24,40,28)*s(16,16,12)+-
t(32,16,12)c(32,40,20)s(40,40,12)-s(32,32,12)++
s(32,32,28)c(32,16,12)t(40,24,20)+*t(40,24,20)*
t(48,40,12)s(8,40,12)+t(40,48,20)c(32,40,20)*+
t(40,48,20)t(48,40,12)-c(32,32,28)s(40,16,12)-*
s(8,24,12)s(48,24,20)+c(32,40,20)c(24,24,20)*-
s(24,32,20)c(40,16,12)+t(24,40,28)t(32,32,12)--
t(32,48,20)s(24,48,20)*t(40,48,20)t(40,32,12)-+
t(40,40,20)s(24,24,20)s(32,32,28)*-c(32,48,12)+
t(24,48,12)s(16,16,12)+s(8,40,12)+s(24,8,12)-
c(32,32,28)s(48,32,20)s(40,48,12)-s(24,24,12)+-
s(48,24,20)t(32,24,12)-s(24,24,20)t(24,32,20)+-
t(32,32,28)c(24,32,20)s(48,48,20)-s(48,48,20)+*
s(16,32,20)t(40,24,12)+s(48,16,20)-s(32,40,28)*
t(24,32,28)s(16,16,20)t(32,32,28)c(32,32,20)*+*
s(48,32,20)s(32,32,28)s(16,24,20)*c(48,40,12)+-
s(40,32,20)s(32,40,28)t(24,24,20)c(16,40,12)+-*
t(24,48,28)s(24,24,20)c(16,16,12)+s(24,48,20)+*
c(40,24,20)c(24,32,12)-s(32,24,20)-c(32,40,12)-
t(24,40,28)c(32,40,20)t(48,48,12)-c(32,48,12)-*
s(16,24,20)s(24,40,28)s(40,40,12)-s(32,40,12)-+
s(32,16,20)s(32,32,20)*t(32,48,12)+c(24,32,20)*
s(40,32,28)t(24,32,28)t(40,24,20)-*c(24,32,20)*
s(32,24,28)s(16,32,20)+s(24,40,28)t(24,48,20)-*
s(40,32,20)s(24,32,20)c(24,40,12)-s(16,8,12)+-
c(32,40,20)c(40,40,20)+c(24,40,20)*c(40,24,20)-
t(32,32,28)s(24,40,28)c(32,32,28)s(24,24,28)***
c(32,40,20)c(40,24,20)s(16,32,20)c(32,40,12)--*
s(48,32,12)t(16,56,12)s(16,32,20)+s(24,32,20)-+
c(48,24,12)s(48,48,12)s(48,8,12)++s(32,24,20)-
s(16,48,20)t(24,32,12)s(40,16,12)+-s(24,40,12)-
t(24,32,28)s(24,32,20)*c(40,16,12)+t(24,32,28)*
c(32,32,28)s(48,24,20)-s(8,40,12)-c(40,24,20)*
t(16,40,12)c(32,24,20)s(40,24,20)*+c(24,24,20)*
t(40,24,12)t(16,24,12)s(16,16,12)t(16,32,12)+++
s(48,24,20)t(40,24,20)t(24,24,20)+*c(32,40,12)+
t(24,32,20)s(32,40,20)+c(40,32,20)*c(48,24,12)-
c(32,32,28)t(24,48,20)-s(40,48,20)s(24,24,12)+*
s(24,40,28)s(40,24,28)s(32,16,20)s(16,40,20)++*
t(32,32,20)s(32,24,20)s(32,16,20)*s(40,32,28)*+
s(16,16,20)t(24,24,20)s(16,24,20)*s(24,32,12)+-
s(32,24,28)s(24,32,28)s(48,48,20)c(40,32,20)++*
t(40,40,20)s(24,32,28)+s(32,40,28)*t(32,32,28)*
s(48,24,12)s(24,48,20)+c(40,32,20)c(24,40,20)*-
c(32,24,20)t(24,32,28)t(16,40,12)-c(40,16,12)+*
s(24,24,28)s(40,32,28)c(32,32,20)*t(48,56,12)+*
t(40,40,12)c(24,32,12)s(24,24,12)+s(24,40,28)*+
c(32,24,20)s(40,40,28)s(48,48,12)-s(40,48,20)-*
s(40,32,20)s(48,32,12)-s(24,40,20)s(24,24,20)*-
s(48,40,20)t(32,40,28)s(24,32,28)*t(40,32,20)+*
t(40,32,20)c(24,32,12)c(32,32,20)t(40,24,20)*++
t(40,40,20)s(48,24,20)c(32,32,20)*s(24,40,12)++
s(40,24,20)t(32,40,28)s(40,48,20)++s(48,32,20)*
s(24,24,28)s(32,40,20)s(32,32,20)*-s(32,24,20)*
t(40,48,20)t(24,32,28)s(24,40,28)*t(32,48,28)*+
t(24,48,28)s(40,48,12)+s(48,24,12)t(16,48,12)+-
s(40,24,28)t(32,40,28)s(40,40,20)+t(32,32,28)**
s(24,40,28)s(40,24,28)-c(32,40,20)c(48,32,12)-*
s(40,40,28)s(32,24,28)c(24,24,20)s(24,40,20)*-*
c(48,24,12)s(8,32,12)t(32,48,20)++t(24,40,28)*
s(32,40,28)c(40,24,12)-c(40,32,20)-s(32,24,20)-
s(32,24,20)s(24,32,20)s(40,40,28)c(40,24,20)---
c(24,32,20)c(40,32,12)s(32,24,20)c(24,40,12)-+*
t(32,40,28)t(32,24,20)t(24,40,20)-s(32,48,12)+-
s(16,16,12)c(40,32,20)+s(40,40,20)-s(24,16,20)+
s(32,24,28)s(16,16,12)t(32,56,12)+-s(48,32,20)*
c(32,32,20)c(40,40,12)s(48,24,20)+*t(32,32,12)+
c(24,32,20)s(24,48,20)*t(32,40,28)*s(32,48,12)+
c(48,16,12)s(24,24,20)s(8,24,12)-+s(40,32,28)*
s(24,24,20)s(48,40,20)+c(32,40,20)*s(48,32,20)-
s(32,24,28)c(32,32,12)-s(24,24,28)c(32,32,20)*+
s(24,24,28)c(24,32,12)-s(16,32,12)+s(32,32,28)-
c(48,32,12)s(32,48,12)+t(24,24,20)s(16,24,20)*+
t(24,32,20)c(40,40,20)s(40,32,20)t(40,24,20)---
c(40,32,20)c(48,24,12)-s(32,24,12)-c(40,16,12)+
c(32,40,20)t(24,32,28)c(24,32,20)*t(32,32,28)**
t(40,16,12)t(32,40,28)+s(40,24,28)s(16,16,20)-*
c(40,32,20)c(24,48,12)-t(16,24,12)c(40,32,12)++
s(48,48,20)t(32,40,28)s(32,16,20)-s(32,40,20)*-
s(32,32,20)s(24,40,28)s(48,48,20)t(24,48,28)++*
t(32,48,28)t(40,24,20)-t(32,32,20)-s(24,24,20)+
c(40,16,12)c(40,40,20)t(24,48,12)-+t(40,48,20)*
t(32,32,28)t(48,24,12)c(48,48,12)+-t(32,40,20)-
t(24,40,28)c(32,48,12)c(16,24,12)+*c(48,24,12)+
c(32,32,28)s(40,8,12)t(16,16,12)+-t(24,40,28)*
s(32,40,20)s(40,40,28)t(24,48,28)+t(24,32,20)*-
s(40,40,20)t(32,32,28)s(24,32,28)s(32,40,20)***
s(16,16,20)c(32,40,20)t(32,48,20)-t(40,32,12)--
t(16,56,12)s(24,16,12)+s(16,32,20)+s(24,16,12)-
c(40,32,20)t(24,32,28)s(48,24,20)+*s(16,32,12)+
s(16,48,20)s(40,16,20)t(24,40,20)t(24,32,28)++-
s(24,8,12)c(24,32,12)+c(16,40,12)+s(32,24,20)*
s(48,32,20)s(32,24,28)*c(32,40,12)+t(24,32,28)+
s(24,24,28)s(24,32,28)*c(40,16,12)-s(40,16,20)-
t(24,32,28)t(32,48,20)s(48,8,12)+-c(32,40,12)-
c(40,40,20)c(40,16,12)+t(24,48,12)s(32,8,12)+-
s(32,40,28)c(24,32,20)+s(32,24,28)t(24,24,12)-*
s(8,16,12)s(24,24,20)t(40,32,20)t(24,48,20)+-+
c(48,24,12)s(16,40,20)+s(40,32,28)c(24,16,12)-+
s(32,32,20)s(24,48,20)t(24,32,20)+*s(24,24,28)*
s(24,48,12)c(32,32,28)s(24,48,20)s(32,40,12)-*+
c(32,32,28)s(16,24,20)-c(40,40,20)*s(32,40,20)*
s(48,40,20)c(32,32,20)s(16,40,12)+s(40,24,28)*+
s(48,24,12)s(48,40,20)+t(24,48,20)+c(32,40,20)*
c(40,24,20)s(24,32,28)s(32,16,20)c(32,40,20)-+*
c(32,32,20)t(32,32,20)c(32,24,20)t(48,32,12)-*-
c(32,32,20)s(24,16,20)+s(40,32,28)*s(40,48,20)*
s(24,48,20)s(24,24,28)c(40,24,20)s(32,24,20)*-+
s(16,32,20)s(24,16,12)-s(40,40,28)s(24,24,20)--
s(48,24,20)t(48,16,12)t(32,32,28)+*t(40,40,20)+
s(32,32,28)c(40,40,20)s(24,40,28)s(24,8,12)+--
s(32,40,28)s(24,32,28)*t(32,48,28)*c(40,24,12)-
c(24,32,20)t(32,32,28)c(32,32,20)*c(40,24,20)*+
s(40,40,28)s(32,16,12)s(48,32,20)+*s(8,16,12)+
s(32,24,20)s(24,40,28)s(48,32,12)+*t(32,40,12)+
c(16,48,12)s(24,32,20)+t(24,40,20)-s(24,32,20)*
s(24,48,20)s(16,40,20)*c(24,40,12)+t(16,56,12)-
s(40,32,20)s(32,16,12)-t(32,40,28)s(32,32,28)**
s(16,24,20)c(24,40,20)s(32,24,28)*-s(16,32,12)-
s(32,24,28)t(32,32,12)-c(16,16,12)s(8,48,12)+-
t(24,32,28)c(24,24,20)+s(40,32,20)s(24,40,12)-*
s(40,16,20)c(40,24,20)t(24,24,12)-s(32,8,12)--
s(48,32,20)s(32,16,20)s(16,16,20)-c(24,16,12)+-
s(24,40,28)c(32,48,12)s(32,24,20)+*s(32,24,12)-
s(24,48,12)s(48,40,12)+t(24,48,28)s(32,40,28)+*
s(24,48,20)t(24,24,20)s(32,40,28)s(32,16,20)-+*
s(16,16,20)c(32,40,20)s(48,40,20)+-c(40,16,12)+
s(40,32,12)s(32,24,12)t(40,56,12)+s(16,8,12)++
s(24,24,28)s(40,32,28)s(24,32,28)*-t(16,40,12)-
t(40,24,20)c(24,24,20)t(24,40,28)-s(16,16,20)*+
c(24,32,20)c(40,40,20)s(32,24,28)s(24,40,28)--*
c(32,32,20)c(32,32,28)s(48,16,20)*-c(16,40,12)+
c(24,24,20)t(40,40,20)-s(24,24,20)c(32,32,20)**
t(24,48,28)s(48,16,12)s(32,24,20)++s(32,40,28)-
c(40,24,20)s(32,24,20)*s(16,16,20)-s(8,48,12)+
c(40,24,20)s(24,24,28)s(40,8,12)-*c(32,40,20)*
s(32,32,28)s(40,40,20)s(40,24,28)+s(16,32,12)+*
s(48,32,12)s(8,40,12)+s(32,24,20)-s(32,24,12)+
s(32,16,20)s(48,24,20)c(32,16,12)+s(32,32,28)**
s(32,40,20)c(32,16,12)+t(40,32,12)c(24,16,12)+*
s(24,16,20)s(40,40,28)c(40,32,20)*+s(48,48,20)*
s(32,24,20)s(32,40,28)s(24,16,20)-s(24,24,12)+*
s(40,32,20)s(40,32,28)s(32,40,28)**s(16,32,20)-
c(24,24,20)s(40,40,20)s(32,8,12)+s(32,16,20)+-
t(16,48,12)s(32,32,28)s(16,24,20)s(16,40,20)+*+
c(32,32,20)c(40,32,20)c(40,48,12)t(16,48,12)+-+
s(16,48,20)c(40,40,20)t(32,32,20)*s(48,48,20)++
s(32,48,20)c(24,24,20)s(24,40,28)s(32,48,20)---
s(40,24,28)s(40,24,28)s(16,40,20)-s(32,24,12)--
c(32,40,12)c(32,32,28)s(48,24,20)*+s(24,48,20)+
c(40,32,20)t(48,16,12)-c(48,24,12)-s(32,48,20)-
t(24,48,28)s(40,24,28)s(32,16,12)--s(24,40,20)-
s(48,8,12)c(32,48,12)+s(32,32,28)+t(32,48,20)*
s(16,32,12)c(48,16,12)s(32,40,20)t(32,24,20)-++
c(32,48,12)s(8,24,12)s(48,32,12)+c(16,24,12)-+
s(24,48,20)s(16,48,20)c(40,24,20)t(24,32,28)*+*
s(8,16,12)c(48,48,12)+s(40,48,12)t(16,24,12)+-
s(24,48,20)t(24,48,28)*c(24,48,12)s(16,8,12)+*
c(48,24,12)s(24,32,20)+s(32,24,20)*c(40,16,12)-
c(40,24,20)t(48,40,12)s(24,32,28)+s(24,24,28)**
s(32,32,28)t(40,32,20)-s(24,32,28)*t(40,24,20)+
s(40,40,28)s(24,32,20)*c(40,48,12)s(8,16,12)++
c(24,24,20)c(16,16,12)t(32,40,28)+c(48,40,12)-*
t(32,40,28)s(24,40,20)t(24,48,28)**t(24,56,12)-
s(8,40,12)s(40,40,20)s(16,24,20)+t(32,32,20)*+
s(32,32,20)c(24,16,12)c(48,24,12)+s(40,16,12)--
c(24,32,20)c(40,24,20)c(40,32,12)c(24,40,20)+**
t(32,48,28)s(24,24,20)s(32,16,20)s(40,32,28)*-+
s(40,32,20)c(24,24,20)s(24,40,12)-s(40,16,12)--
t(24,32,28)s(32,40,28)s(32,48,12)t(16,40,12)+-*
t(24,40,28)s(32,24,20)t(24,16,12)--s(40,48,12)-
s(24,16,20)c(24,40,20)s(32,16,12)+t(24,48,12)-*
s(40,48,20)s(40,24,12)+t(32,32,28)t(16,16,12)+*
s(40,24,28)t(32,40,28)s(40,40,28)+s(32,8,12)+*
s(24,48,12)s(40,24,28)s(48,32,20)s(48,40,12)-*+
s(32,24,28)c(32,24,12)-c(16,16,12)s(40,32,12)+*
s(32,40,28)s(32,32,28)*c(24,24,20)s(40,16,20)+*
s(24,24,28)s(16,40,12)-s(40,32,20)s(24,40,28)**
c(32,32,20)s(24,32,20)*s(32,32,28)c(32,40,20)**
t(24,32,28)t(24,48,20)-t(32,24,12)s(48,40,12)++
t(24,48,28)s(40,40,20)t(48,16,12)t(16,40,12)++-
c(40,32,20)c(40,16,12)s(16,24,20)c(32,32,12)-+-
c(24,40,20)s(40,24,20)t(16,24,12)+s(40,32,20)*+
s(16,48,20)s(24,32,28)c(40,32,20)*c(24,40,20)*-
s(24,24,28)s(16,32,20)+c(32,24,20)-s(16,8,12)-
s(16,24,20)s(24,24,20)t(24,40,12)++s(32,32,12)-
c(40,32,12)s(32,32,28)c(32,32,28)s(24,24,28)**+
c(32,32,20)s(48,16,20)c(32,24,20)*-t(32,32,12)-
s(48,24,12)t(32,32,28)s(32,48,20)-+c(24,24,12)-
c(24,16,12)t(24,48,28)+s(48,40,12)+s(32,16,20)*
c(24,32,20)s(48,32,20)t(32,32,28)*-s(32,24,28)*
t(24,48,12)t(40,40,20)+s(32,32,20)s(48,16,20)-+
s(24,16,20)c(40,32,12)s(48,32,12)++c(40,32,20)*
s(32,32,20)c(24,24,20)*s(40,32,28)s(40,40,12)-*
c(32,32,28)t(24,48,28)s(16,32,20)-c(32,24,20)+-
s(32,40,20)t(40,32,12)s(16,16,20)c(40,24,20)-+-
c(16,48,12)t(32,32,28)s(32,48,20)*+s(24,32,28)*
s(16,32,12)s(40,8,12)+c(16,40,12)+t(40,48,12)+
s(40,32,28)t(32,32,28)+s(32,24,28)-s(48,48,20)+
t(32,40,20)t(24,16,12)s(40,40,20)t(32,40,28)*+*
s(40,40,20)s(32,24,20)t(32,32,28)c(32,40,12)-*-
t(32,48,28)t(40,24,12)s(8,32,12)++s(32,32,28)*
t(32,32,20)c(24,24,20)*s(24,16,12)-s(8,32,12)+
s(48,40,20)s(32,24,20)c(24,40,20)-+s(48,32,20)*
s(24,40,12)s(48,40,20)+s(24,48,20)t(24,24,12)+*
s(32,48,20)s(32,40,20)c(40,24,12)-s(24,32,20)+*
c(24,32,20)s(32,40,28)s(32,24,20)c(40,24,12)--*
s(24,48,20)s(40,48,12)c(32,24,20)+-s(8,8,12)+
c(48,24,12)s(24,24,28)+t(40,56,12)+s(16,40,20)*
s(32,32,28)t(32,32,12)-s(40,40,20)t(32,24,20)-*
s(40,24,28)s(32,32,20)*c(32,40,12)+t(24,32,20)-
s(40,32,20)s(40,24,28)c(32,32,28)s(24,40,28)**-
c(48,40,12)s(32,40,28)s(24,48,12)s(24,24,20)+*+
s(40,48,20)t(40,24,20)+t(24,32,28)s(8,48,12)-+
s(40,24,20)t(16,16,12)c(32,32,20)+*c(48,16,12)-
s(48,32,20)s(16,16,12)t(32,40,20)+-c(40,40,20)*
c(16,48,12)c(40,48,12)+t(24,32,20)-s(40,40,12)-
s(40,8,12)s(40,8,12)t(24,40,20)+t(32,32,28)*+
t(16,24,12)s(40,24,20)+c(40,24,20)c(24,40,20)-*
c(32,24,20)c(24,32,20)t(32,40,28)*t(24,24,12)-*
s(8,16,12)c(40,40,20)c(16,48,12)s(24,32,20)+-+
s(24,40,20)t(24,32,28)s(16,16,12)-c(24,24,20)**
s(8,16,12)t(40,48,20)s(40,32,28)s(48,24,20)*-+
t(32,40,28)t(24,48,20)c(48,24,12)+t(32,32,28)--
t(24,32,20)s(40,40,12)-s(16,40,12)+c(40,16,12)+
t(32,40,28)s(48,40,20)t(32,24,20)+s(40,40,28)*-
s(48,48,20)t(48,24,12)s(16,16,12)+s(40,24,20)++
s(32,32,20)s(48,24,20)-s(24,32,12)t(40,40,20)+*
s(32,32,28)s(40,40,20)t(24,24,20)-*c(24,32,12)-
t(40,56,12)s(32,40,28)s(40,32,28)*c(24,32,20)*+
s(24,48,20)c(40,32,20)+s(48,16,20)s(24,24,28)--
t(32,40,28)t(32,56,12)+t(40,16,12)+s(32,32,28)*
t(24,48,12)s(24,40,12)t(48,40,12)c(48,24,12)+++
s(24,16,12)c(40,16,12)+s(16,32,20)s(24,24,28)*+
s(16,24,12)c(32,40,20)s(16,40,12)-+s(40,40,20)-
c(32,32,12)c(40,24,20)s(32,48,20)-s(40,16,12)-+
t(32,32,28)s(24,40,20)t(24,40,28)**t(40,32,12)-
s(24,48,20)s(40,32,20)c(16,24,12)c(32,48,12)++-
s(16,32,20)c(32,32,28)s(32,32,20)c(40,24,20)*-*
s(32,24,20)s(24,48,12)c(24,32,20)t(32,24,20)*++
c(32,24,12)t(24,32,28)s(24,40,20)-t(24,40,20)++
c(32,24,20)c(48,40,12)+s(32,24,12)-s(48,40,12)-
s(32,48,20)t(32,32,28)c(48,32,12)-c(24,32,20)*+
s(32,32,28)s(40,24,20)s(32,40,28)*-c(32,32,20)*
s(32,24,20)c(24,32,20)*t(24,24,20)+s(24,24,12)-
c(24,40,20)c(32,32,28)s(48,40,20)-t(32,32,20)+*
t(24,32,12)s(40,24,20)+c(32,24,20)s(32,32,20)**
s(32,32,28)c(40,40,20)s(16,40,20)-s(32,32,12)--
s(32,40,20)t(32,32,20)s(40,32,20)c(32,24,12)+*-
c(40,24,12)t(40,48,12)+c(40,24,20)s(24,40,12)++
t(24,56,12)s(32,16,20)s(32,24,20)s(8,8,12)+++
c(32,40,20)t(24,40,28)c(24,32,20)**t(24,32,20)*
s(40,40,28)c(24,16,12)t(32,32,28)+*c(16,32,12)+
t(48,32,12)t(32,48,20)+t(24,48,28)*s(24,24,28)+
t(24,32,28)t(16,32,12)-s(40,48,12)-c(40,32,12)+
s(32,32,28)t(16,24,12)t(16,32,12)+-s(48,40,20)+
t(32,32,28)s(24,40,28)t(32,48,12)c(40,40,12)+--
c(16,24,12)s(40,32,12)+s(48,48,20)-t(40,40,12)+
t(24,48,28)c(40,24,20)+s(32,24,20)-s(48,32,12)-
s(40,32,28)t(32,40,28)*s(24,24,28)s(40,40,12)--
s(32,40,28)c(32,24,20)s(32,48,20)+s(40,40,20)-+
s(24,8,12)t(24,40,28)t(24,24,12)-+s(40,40,20)*
s(32,32,20)s(32,40,20)t(24,56,12)t(24,24,12)+-*
s(40,40,20)t(24,40,20)+s(24,40,12)-t(24,48,28)-
c(24,24,20)s(32,40,28)t(32,40,20)-s(32,32,28)*-
t(32,32,20)s(16,48,20)c(32,32,28)*s(40,24,28)-+
s(16,32,20)s(32,16,12)t(40,40,20)++s(24,16,12)-
t(32,32,28)c(32,32,20)*s(32,24,12)c(32,48,12)+*
s(48,24,20)c(32,24,20)*t(48,40,12)t(32,48,28)++
s(48,16,20)s(16,40,20)s(8,48,12)-t(32,40,28)++
s(16,32,20)t(32,48,28)t(32,32,28)*-t(48,24,12)+
s(24,32,20)t(24,40,12)-c(40,40,20)c(24,40,12)--
t(40,24,20)s(32,16,20)c(40,24,20)*t(32,32,20)+*
s(32,24,28)s(16,16,20)-s(40,16,20)*t(24,24,20)+
t(16,32,12)c(32,24,20)s(40,32,28)+s(32,24,28)-+
s(24,24,28)s(40,24,20)*s(40,48,20)s(40,32,28)*-
s(32,24,20)t(32,48,28)c(16,48,12)-c(40,48,12)--
c(32,24,20)t(40,32,12)-s(32,32,20)c(32,24,20)*-
c(40,32,20)t(40,40,12)-c(24,16,12)+c(32,40,12)-
s(32,40,28)s(16,16,20)-c(32,32,12)-s(16,24,12)+
s(8,32,12)s(24,40,20)s(32,48,20)s(48,32,20)+*+
c(32,40,20)c(16,48,12)-t(24,40,28)c(40,32,12)--
s(32,24,28)s(24,24,20)-c(16,16,12)+s(48,24,20)-
s(40,24,28)s(32,24,12)-s(40,24,20)*s(32,32,20)+
s(32,24,28)s(48,16,12)-s(48,40,20)-s(48,48,20)+
c(16,40,12)s(32,32,12)+s(24,40,20)*t(32,32,28)*
s(32,24,28)s(24,32,20)c(24,32,12)-+c(40,24,20)-
s(48,24,12)c(32,40,12)+s(32,32,12)t(40,32,12)+-
s(40,32,28)c(24,48,12)-c(24,32,20)*t(24,32,28)*
s(32,40,28)c(24,40,20)t(32,32,28)s(40,24,20)--*
t(40,32,20)s(16,48,20)+s(16,32,20)-c(40,40,20)*
s(40,32,28)c(32,32,20)s(24,40,20)s(24,48,20)**-
c(32,24,20)s(40,40,20)c(40,32,20)*-s(32,32,28)*
c(40,40,20)c(48,24,12)-c(32,32,20)*t(40,40,12)-
t(32,24,12)t(48,40,12)+t(32,40,28)s(16,40,12)-+
c(40,40,20)s(32,40,28)*s(24,40,28)s(40,32,12)--
s(32,32,28)s(48,48,20)-s(16,40,20)s(24,8,12)+*
s(32,16,20)s(48,48,20)+c(48,16,12)c(48,48,12)++
s(32,24,28)s(32,32,28)t(24,48,20)-s(8,16,12)+*
c(24,40,12)t(32,24,20)s(40,32,20)c(32,24,12)+*+
c(32,32,20)c(24,40,20)*c(24,32,20)t(24,32,12)-*
t(48,16,12)s(40,40,20)c(24,32,20)s(40,40,28)*-+
c(40,32,20)t(32,32,28)t(16,24,12)+t(16,24,12)-*
s(48,24,20)s(16,32,20)c(48,48,12)++c(24,32,20)*
s(32,40,28)s(24,48,20)+t(24,32,28)c(16,48,12)-*
c(40,24,20)s(48,32,20)s(40,24,12)-t(40,32,12)+*
s(32,48,12)s(48,40,20)s(32,32,12)t(24,24,20)+-+
s(40,32,12)s(40,32,20)s(48,48,20)-+t(40,24,20)*
s(48,24,20)c(40,16,12)s(16,8,12)+s(24,32,28)--
s(32,32,20)c(16,16,12)-s(32,40,20)s(8,48,12)+*
t(32,56,12)c(40,16,12)+c(24,48,12)+c(32,24,20)*
c(40,24,20)s(40,24,28)c(48,24,12)-s(32,24,28)**
c(40,40,20)t(24,40,28)s(32,40,20)*-s(32,24,20)-
s(48,16,20)s(48,48,20)s(48,24,12)+c(40,24,20)*-
c(16,24,12)s(24,32,20)s(16,16,12)-+s(40,32,20)*
s(24,48,20)t(48,16,12)c(40,40,20)+c(32,40,20)**
s(32,24,28)c(40,16,12)-s(40,16,20)+s(32,40,28)*
s(40,48,20)c(24,16,12)+s(32,32,20)c(24,32,20)**
s(24,40,28)t(48,16,12)+c(40,24,20)-s(40,48,12)-
s(24,32,12)s(32,16,20)+c(32,32,20)*c(40,40,20)+
t(32,32,28)c(16,40,12)-s(48,32,20)c(40,32,12)-+
c(24,40,20)s(24,40,28)s(32,40,12)-c(24,32,20)*-
c(24,32,20)s(32,16,20)c(32,24,20)*t(24,40,28)-+
s(24,32,20)t(32,48,28)-s(48,16,12)c(40,16,12)+-
s(24,40,20)s(8,48,12)c(16,24,12)+c(32,24,12)--
c(32,32,28)s(40,32,20)t(32,32,28)*-s(40,8,12)-
s(24,40,28)c(48,48,12)t(40,32,12)+-c(32,48,12)-
c(32,32,28)s(32,32,12)-c(24,32,20)-s(40,40,28)-
s(32,32,28)s(24,32,20)t(32,56,12)+*c(40,40,20)+
c(24,24,20)c(32,16,12)-c(24,32,12)s(8,40,12)+*
s(32,24,12)t(16,32,12)s(48,32,20)+s(40,48,20)++
c(40,24,12)s(24,24,28)s(40,24,28)-s(8,40,12)-+
c(24,40,20)t(16,56,12)s(48,32,20)t(40,16,12)-+-
s(24,32,28)t(40,24,20)-t(40,40,12)-c(24,24,12)-
c(40,32,20)c(40,24,20)s(24,16,20)-*t(48,40,12)+
s(24,24,20)s(32,48,20)-c(24,40,20)t(24,40,28)*-
s(8,48,12)s(32,24,28)+t(32,32,28)s(24,40,20)**
s(48,24,20)s(40,8,12)t(24,48,28)t(32,40,28)*+-
t(24,40,28)t(24,48,28)s(16,32,20)t(24,32,28)*+*
s(48,16,20)c(40,40,20)-t(48,40,12)s(32,16,20)++
s(32,40,28)s(32,24,28)s(16,32,20)-*c(48,40,12)+
c(40,32,20)s(48,32,20)+t(40,24,12)c(24,40,12)+*
c(32,32,20)s(24,48,20)*c(24,32,20)s(24,24,28)*+
s(40,32,20)c(24,32,20)c(40,24,20)s(32,8,12)-*-
c(24,48,12)c(40,48,12)s(32,32,12)++t(32,40,12)-
s(32,24,28)s(48,32,12)-t(48,16,12)-s(24,40,20)*
c(24,32,20)s(32,40,28)*t(24,32,28)+s(24,16,20)*
s(24,40,28)c(24,32,20)*c(24,24,20)*t(32,40,20)-
s(40,32,28)s(24,40,28)-s(24,48,12)+s(48,24,20)*
s(24,40,20)t(32,40,28)s(24,24,20)-t(32,32,12)+*
c(40,24,20)s(48,40,20)c(32,40,20)*+s(24,24,28)*
c(32,48,12)s(32,40,28)s(24,32,28)*c(40,24,20)*+
s(24,48,20)c(16,48,12)-c(24,24,12)+s(48,32,20)+
s(24,40,28)s(24,24,12)-s(16,8,12)s(24,40,20)+*
s(16,24,20)c(40,40,20)+c(24,32,20)-c(40,32,20)*
c(48,48,12)s(16,24,20)t(48,56,12)+c(24,32,20)*+
c(24,40,20)s(32,24,12)+s(24,40,28)s(24,24,28)-*
t(32,32,28)s(48,32,20)s(24,48,12)+t(32,48,12)--
c(32,24,20)t(32,24,12)t(40,16,12)s(24,48,20)++-
s(32,32,28)s(48,40,20)*s(40,24,20)+s(40,48,20)*
c(48,48,12)s(48,32,20)+t(32,32,28)s(32,24,12)-+
t(32,48,28)c(24,32,20)*c(16,32,12)s(16,40,12)++
c(24,24,12)t(32,24,20)+s(24,32,28)c(24,48,12)-*
t(24,24,20)s(24,8,12)c(32,24,20)s(24,40,28)*+*
s(40,32,28)s(32,16,12)-s(48,32,20)*t(48,48,12)-
c(48,40,12)s(16,40,12)c(40,24,12)t(24,24,12)+++
t(48,56,12)s(40,24,20)+s(40,32,28)*c(40,16,12)-
s(40,40,20)s(48,8,12)s(32,8,12)+t(32,48,28)+*
c(48,40,12)t(48,56,12)t(40,32,20)+t(32,32,28)*+
s(48,32,20)s(16,24,20)c(32,40,20)+t(32,24,20)*-
c(24,32,12)s(24,24,12)+t(24,32,20)*s(40,8,12)+
c(48,24,12)c(32,24,20)c(24,24,20)*s(32,40,28)*+
s(40,40,20)s(32,48,20)s(48,32,20)--s(32,32,28)*
s(40,48,20)t(32,16,12)+t(32,40,28)+t(32,32,28)*
s(40,40,20)s(40,40,20)t(24,40,20)+s(40,24,20)-*
c(40,24,20)s(40,40,12)-s(24,24,20)+c(40,24,20)+
t(24,40,12)c(32,24,20)s(32,48,20)-+t(40,40,20)-
s(32,24,20)c(40,40,20)s(48,16,20)s(40,48,12)+*-
t(32,24,20)s(48,24,20)s(24,40,28)c(40,24,20)*--
s(16,32,20)t(24,48,20)s(8,48,12)--s(24,48,20)+
c(32,16,12)t(24,40,28)+s(40,32,28)*c(40,40,20)*
c(40,40,20)s(16,16,12)s(24,48,20)s(8,40,12)-+*
s(32,24,20)s(40,48,12)+c(24,40,20)*s(24,32,20)*
c(16,32,12)s(16,48,12)s(16,16,12)++s(16,32,20)*
s(48,24,12)t(32,40,28)t(32,24,20)t(32,40,12)+*+
c(40,40,20)s(48,48,12)c(16,24,12)c(32,24,12)++*
s(32,24,12)s(24,48,20)+s(40,32,20)t(48,24,12)-*
c(40,32,20)s(24,40,20)-c(32,32,12)+s(24,48,20)-
t(24,48,20)c(48,24,12)t(32,32,20)s(48,32,12)-+-
s(40,32,28)t(40,48,20)-t(24,40,28)+s(40,40,20)*
s(24,32,28)t(16,32,12)-c(24,24,20)s(32,24,28)*-
t(32,40,28)s(40,48,12)s(32,24,12)+*s(24,32,12)+
s(40,40,28)t(24,56,12)t(16,24,12)+-s(16,8,12)+
c(24,24,20)c(40,40,12)s(40,48,12)+c(40,32,20)*-
s(16,8,12)t(24,32,20)s(24,40,20)+s(32,32,28)*+
s(40,40,20)c(40,16,12)+s(32,40,20)*s(32,48,20)*
s(40,40,28)s(24,48,20)s(24,24,20)+s(40,40,20)*-
s(24,24,28)s(32,40,20)s(40,32,28)*-s(32,32,28)*
c(32,32,28)c(32,48,12)-s(40,24,28)*s(32,40,20)+
t(32,48,28)t(32,32,20)+s(24,32,28)-s(40,32,28)-
s(8,24,12)c(24,24,20)c(40,24,20)*+s(32,24,20)*
s(48,24,12)s(24,24,20)s(40,8,12)++s(24,32,20)-
t(24,48,28)c(32,40,20)c(32,32,20)*c(16,16,12)+*
c(32,32,20)s(24,24,20)t(40,24,12)+s(24,16,20)*-
s(40,16,12)t(40,40,12)+s(16,40,20)+t(24,16,12)+
c(32,32,20)t(40,40,20)s(32,32,28)s(16,48,20)-**
c(32,40,20)t(24,48,28)+c(32,24,20)-t(32,40,20)-
s(48,8,12)c(24,32,12)s(32,8,12)++s(40,40,28)-
c(16,16,12)t(40,40,12)t(16,48,12)++s(40,32,20)-
s(40,48,20)s(24,48,12)-s(32,48,20)t(32,32,28)*-
s(32,16,20)t(40,48,20)s(40,40,20)*+c(40,32,20)*
s(32,40,20)s(24,40,20)*s(16,40,20)*s(48,48,12)+
s(24,48,20)t(40,48,20)-s(16,24,20)c(32,16,12)--
c(40,40,12)s(24,24,20)+s(16,24,20)-s(48,32,12)-
s(24,24,28)s(32,24,28)t(16,48,12)+c(40,32,20)**
s(24,16,12)c(32,32,20)+c(48,40,12)s(24,48,20)+-
t(32,32,28)t(40,24,12)-s(48,32,20)t(24,32,20)+*
s(24,32,28)s(32,32,28)s(24,40,20)+s(24,48,20)*-
s(32,32,20)s(24,24,20)s(40,24,28)s(24,32,28)**-
c(32,48,12)s(40,24,20)t(40,24,12)-+s(16,24,20)-
s(48,24,20)c(32,32,28)t(32,48,28)*t(48,48,12)--
s(32,32,20)c(24,40,20)s(32,24,28)s(32,40,28)***
t(24,48,28)t(48,32,12)+s(24,40,20)s(16,32,20)--
s(32,40,28)s(32,32,28)s(40,32,28)**c(24,32,20)*
c(24,24,20)s(32,24,12)t(24,48,20)t(24,24,12)++*
c(40,24,20)t(24,32,28)t(16,40,12)--s(40,24,20)*
s(40,8,12)s(48,48,20)+s(24,48,20)s(16,48,12)--
s(48,24,20)c(24,40,20)+s(40,40,20)t(32,32,28)**
s(24,40,20)s(40,32,20)s(48,32,20)*+s(40,48,20)*
c(24,48,12)t(40,48,20)+s(40,40,20)c(24,40,20)*-
t(40,40,20)s(24,32,20)s(8,24,12)+s(8,32,12)-+
c(24,24,20)t(16,32,12)-s(32,48,12)t(40,32,20)+-
s(16,16,20)s(40,48,20)s(24,48,20)*+s(24,8,12)-
s(24,40,28)s(40,16,20)-c(16,32,12)c(24,16,12)+*
t(24,48,28)c(32,40,12)+t(16,56,12)-c(24,48,12)-
s(24,40,28)s(32,32,20)s(16,32,12)-s(24,24,28)**
s(40,24,20)s(32,24,28)c(16,48,12)s(48,32,12)+-*
s(32,40,28)t(24,48,12)s(32,24,20)s(48,32,12)-+*
t(32,32,28)s(24,24,20)*s(32,48,20)s(32,24,12)++
s(32,24,20)s(48,16,12)-s(16,8,12)s(48,24,20)+-
c(24,24,20)t(40,48,20)t(24,16,12)+-c(40,24,20)-
s(40,24,28)s(24,24,28)s(32,8,12)--c(40,24,20)*
t(40,40,20)t(32,48,20)t(24,40,28)*+c(48,40,12)-
t(32,48,20)s(32,40,20)t(40,48,20)+t(24,56,12)-*
s(40,24,28)s(48,48,20)+t(32,48,20)s(8,40,12)++
t(16,48,12)t(16,40,12)s(8,32,12)s(48,40,20)+++
s(16,40,12)c(32,32,12)+s(32,40,12)-c(16,16,12)+
s(40,48,20)s(24,48,12)-s(16,40,12)+t(24,48,28)-
s(48,16,20)t(16,40,12)+c(40,32,20)s(24,40,20)+-
c(24,24,20)c(40,32,12)s(24,16,12)+s(40,40,28)*-
c(24,24,20)t(24,32,28)*s(32,24,20)c(48,16,12)-*
s(8,48,12)c(24,32,20)+s(32,40,28)*t(16,32,12)-
c(24,40,20)c(48,40,12)+c(16,24,12)c(40,32,20)+-
c(24,40,20)t(32,56,12)t(40,24,12)+-s(24,24,28)*
t(24,48,20)t(16,48,12)c(48,48,12)++s(24,32,28)*
c(32,32,28)s(48,40,20)*s(40,48,20)t(32,32,20)--
t(32,24,20)c(40,40,12)t(24,48,28)t(24,32,20)-+-
c(32,24,20)s(24,24,20)*s(32,24,20)*c(40,32,12)-
c(40,16,12)s(32,32,20)c(24,24,12)-s(32,48,12)-+
c(24,24,20)t(32,40,28)t(40,48,20)--t(24,32,20)+
s(16,24,12)s(40,24,20)s(16,40,20)++s(32,32,28)*
t(32,40,28)s(24,32,20)t(40,32,20)t(24,24,12)+--
s(32,24,20)c(16,32,12)c(32,32,28)s(32,32,20)-+*
s(40,24,12)c(24,40,20)s(24,48,20)*+s(40,32,20)-
c(40,32,20)s(32,32,20)+t(40,16,12)s(40,48,12)+-
s(40,24,28)s(40,32,28)t(24,32,28)**s(48,40,20)+
c(24,32,20)s(24,40,20)*t(24,48,28)t(24,32,28)-+
c(24,24,12)c(24,40,12)+s(24,40,12)t(16,24,12)+*
s(32,32,28)c(40,32,20)+s(32,24,28)s(40,24,20)-*
s(32,40,28)t(24,40,28)s(48,32,12)s(8,48,12)++*
t(24,40,28)c(32,40,12)s(40,24,28)t(24,40,28)*+-
s(40,32,20)t(48,24,12)-s(40,40,28)s(24,48,20)-*
s(32,32,28)t(24,32,28)*t(32,40,20)*s(16,48,20)+
t(24,40,28)s(32,16,20)-s(40,32,20)c(32,48,12)-+
c(32,40,20)t(32,32,28)s(40,32,28)c(40,48,12)-**
c(32,32,12)s(32,24,20)t(32,40,28)+s(24,16,20)-+
s(40,24,28)s(32,32,28)*s(24,16,12)-c(48,40,12)-
t(32,48,28)s(40,40,20)c(32,32,20)*-s(24,40,20)-
s(48,32,20)s(32,32,28)t(32,32,28)c(32,40,20)+**
t(32,32,28)c(40,24,12)+c(24,48,12)+s(24,48,20)*
c(32,32,20)s(24,40,28)*s(16,48,20)-t(16,40,12)+
s(32,48,20)c(40,24,20)+s(8,40,12)s(48,40,20)+-
c(48,32,12)c(32,24,20)+s(24,32,28)s(40,32,28)**
s(24,48,20)c(32,32,28)*t(32,40,28)t(32,48,28)+*
t(24,32,28)s(24,40,20)+s(32,32,20)c(16,32,12)-+
s(40,48,20)s(8,32,12)s(40,48,20)s(40,32,28)*+*
c(40,40,20)s(24,40,20)*t(32,40,28)s(32,32,20)-+
c(40,32,20)s(40,32,12)-c(40,16,12)c(24,32,12)+-
c(32,32,28)s(32,24,28)t(32,32,20)-*c(24,40,20)-
t(16,56,12)s(40,40,28)s(24,24,12)-t(40,40,12)-+
s(40,24,28)c(40,32,20)t(40,48,20)-s(48,48,20)++
s(24,32,28)s(24,48,12)-s(24,40,20)*s(32,32,20)+
t(40,32,20)t(32,24,12)-s(24,32,28)c(24,24,20)*+
s(32,8,12)s(48,40,12)+s(40,32,12)+c(24,40,20)+
c(32,40,20)s(32,24,20)+t(48,40,12)-t(24,32,20)*
s(40,32,28)s(48,24,20)s(40,16,20)t(24,16,12)-**
c(24,24,20)s(16,40,20)-s(24,32,28)*t(40,32,12)-
t(24,40,20)t(24,48,28)t(16,40,12)-t(48,40,12)+*
t(24,40,20)c(24,24,20)t(48,16,12)+t(32,48,28)--
s(40,16,20)s(24,40,28)s(32,48,12)--c(32,24,12)-
s(40,40,28)s(40,16,12)s(48,40,12)+*s(24,40,12)+
s(16,24,20)s(24,32,20)*t(40,24,20)+s(40,16,20)+
s(32,16,20)t(24,32,20)s(16,24,20)t(24,40,20)+*+
c(32,32,28)s(16,16,20)-t(40,32,12)-t(24,40,20)*
s(24,40,28)s(24,24,20)t(40,32,12)s(24,32,20)+**
s(32,32,20)t(24,32,28)t(32,48,12)s(24,24,20)+**
c(32,32,28)s(48,48,12)-s(24,32,28)s(16,16,20)**
s(32,32,28)t(40,56,12)s(40,48,12)+-s(24,40,28)-
c(40,32,20)s(48,40,12)c(32,40,12)+s(32,32,20)*-
s(16,48,20)s(24,40,20)s(8,48,12)++s(32,16,12)+
t(32,48,12)t(32,24,20)c(24,32,20)*+c(24,24,20)*
c(32,32,20)c(32,40,20)+s(32,24,12)-c(16,40,12)+
c(32,32,28)s(32,24,28)s(32,32,28)*-s(24,40,28)*
s(40,40,20)t(32,48,28)c(24,24,12)t(24,48,20)+*-
t(16,56,12)t(40,24,12)c(24,48,12)+c(32,40,12)-+
s(40,40,28)c(24,24,12)-t(24,40,20)-s(24,24,12)+
s(40,32,20)t(24,48,28)t(32,40,28)s(8,32,12)+*-
s(32,40,20)s(24,32,28)*c(32,32,12)t(16,48,12)+*
s(32,16,20)s(16,8,12)s(40,32,12)++c(40,32,12)-
s(16,40,20)t(32,32,20)-t(16,56,12)-c(24,40,20)*
s(24,32,28)s(32,40,20)s(24,40,28)s(48,24,20)-**
s(16,24,12)c(40,24,20)s(40,32,20)*c(24,16,12)-+
s(48,16,12)s(24,24,28)c(16,24,12)-+s(24,32,20)*
c(32,40,20)s(40,32,28)*s(32,24,28)s(8,16,12)+*
s(8,8,12)t(24,48,28)+s(16,8,12)-s(16,40,20)-
s(24,32,28)s(40,24,20)-s(16,24,20)+t(32,48,28)*
s(16,8,12)s(32,16,20)+t(24,16,12)s(16,48,12)+-
s(32,48,20)s(24,40,28)t(16,48,12)-t(16,16,12)+*
s(40,48,12)s(16,24,20)t(24,40,28)-c(24,32,12)++
s(24,32,28)t(40,56,12)s(24,24,20)s(40,24,12)-+*
c(40,40,12)s(24,48,12)+s(24,40,20)s(32,32,20)+*
s(40,32,20)s(40,8,12)+t(24,32,28)-s(32,32,20)-
c(32,32,20)c(40,40,20)*s(24,32,20)s(32,24,12)--
s(40,40,20)c(16,40,12)s(48,48,20)+s(8,24,12)++
c(40,32,20)t(32,56,12)t(32,32,28)+s(40,24,12)-*
s(24,24,20)c(32,40,20)-s(8,8,12)-s(48,24,12)+
t(32,40,20)c(40,24,12)+t(32,40,28)+s(32,32,28)*
t(32,40,28)s(32,32,20)c(24,40,12)-+t(24,48,20)*
s(16,40,12)s(48,40,20)c(24,16,12)s(40,40,12)+-+
s(40,32,20)s(40,24,20)*s(16,24,20)+c(40,24,12)-
c(40,32,20)s(32,40,28)*c(32,24,12)+t(32,24,20)*
t(24,56,12)s(48,24,20)+s(40,40,28)t(24,48,28)*-
c(32,40,20)c(32,40,12)c(24,24,12)+s(24,40,28)**
t(32,40,28)c(32,40,20)t(32,56,12)-*s(32,24,12)-
s(24,24,28)c(24,24,20)c(32,32,28)s(40,24,28)**-
t(32,48,28)s(24,24,20)-c(24,32,20)s(40,40,28)*-
s(16,48,20)s(32,32,20)c(24,24,12)--t(32,56,12)+
c(32,32,28)s(32,48,20)t(32,40,28)+*t(24,40,28)*
c(40,16,12)s(32,24,28)s(24,16,20)-+s(32,48,12)+
s(48,8,12)s(24,48,12)+t(24,24,20)+c(32,24,20)*
s(16,32,20)t(40,16,12)+s(16,48,12)-s(48,32,12)+
s(24,32,28)t(48,24,12)s(8,16,12)+s(48,8,12)++
s(32,40,20)s(32,40,28)c(24,32,20)**s(32,16,20)-
t(32,56,12)c(32,32,20)+s(16,32,20)*s(8,32,12)-
s(16,16,20)t(40,48,12)s(40,24,20)++s(24,8,12)-
c(40,40,20)s(32,32,20)s(40,24,28)+c(48,32,12)-*
t(32,48,12)s(40,40,28)c(32,40,12)-+t(40,24,20)-
c(16,16,12)s(24,32,20)c(32,16,12)-+s(24,16,20)*
s(32,40,20)s(48,48,12)-t(24,40,28)*s(48,24,12)+
s(24,40,28)t(24,40,12)-c(32,24,20)s(24,32,28)*+
s(40,40,20)c(24,32,12)t(24,48,28)+-c(24,48,12)+
s(32,16,12)s(48,24,20)c(48,32,12)-+t(32,24,12)-
c(40,24,20)s(32,24,28)t(40,16,12)-*s(16,24,20)-
s(32,40,20)c(16,40,12)t(40,48,12)+s(24,48,20)*-
c(32,24,20)t(32,24,20)-s(16,16,12)s(48,16,20)++
t(24,32,28)c(40,40,20)s(48,24,12)+*s(40,32,20)*
s(24,32,28)c(24,24,20)s(40,16,12)-*t(40,32,12)-
s(16,24,20)s(16,40,20)s(32,32,12)-+s(24,24,28)*
s(16,24,20)t(32,32,28)-s(24,24,28)t(40,56,12)+*
t(40,40,20)s(24,32,28)+s(40,24,28)c(24,24,20)*-
s(40,24,28)t(24,32,12)-t(32,32,28)*t(24,24,20)-
t(24,32,28)s(24,40,28)*c(40,48,12)-s(24,16,12)-
t(32,48,28)t(32,56,12)t(32,16,12)c(24,32,12)++*
c(40,32,20)s(24,24,20)-s(40,16,12)s(48,32,20)+*
s(24,24,20)c(40,48,12)+c(40,16,12)-c(48,48,12)-
c(32,24,20)t(40,56,12)c(32,16,12)++s(40,32,20)-
s(8,32,12)s(40,32,28)+s(32,40,28)-s(16,40,20)-
s(32,32,20)s(48,8,12)+s(16,32,20)*s(32,24,20)+
c(24,32,20)s(32,32,28)s(16,24,12)-t(32,32,20)--
c(16,48,12)c(32,16,12)+c(24,24,20)s(48,32,20)--
t(16,48,12)t(24,32,28)s(24,32,20)*+s(40,40,28)*
c(32,24,20)s(24,24,28)s(16,32,20)*s(40,16,12)++
s(24,32,20)s(40,32,20)t(16,40,12)+t(40,24,20)+*
t(24,40,20)t(16,40,12)t(24,24,20)c(24,40,12)-++
s(40,16,12)s(40,40,28)s(8,24,12)+s(16,40,20)*+
c(40,24,12)t(40,32,20)+t(24,32,20)s(32,16,12)--
c(24,24,20)s(32,24,20)s(32,32,20)s(40,24,28)***
s(32,40,12)t(24,48,28)t(32,40,28)*t(24,56,12)-+
t(48,48,12)s(16,40,20)+t(16,48,12)s(24,32,20)+*
c(32,32,20)c(48,40,12)+c(24,40,20)-s(48,16,12)-
t(24,40,20)s(40,24,28)s(40,24,20)s(16,48,20)+*+
c(40,32,12)c(32,32,28)s(32,32,20)-+s(24,40,28)*
s(24,40,20)t(32,48,28)s(40,24,28)c(24,40,20)+*+
t(24,48,28)s(32,16,20)c(32,32,20)+c(48,32,12)--
c(40,40,20)t(24,32,28)s(40,40,28)**s(40,32,20)*
c(16,16,12)t(24,32,20)+t(32,32,28)s(40,16,12)-*
s(24,32,28)t(32,40,20)s(16,16,20)s(16,24,12)-+*
s(40,32,28)c(24,24,20)*t(32,32,20)c(16,24,12)+*
s(40,24,28)t(24,24,20)s(32,48,20)+*c(16,40,12)-
s(24,24,20)t(32,32,28)*s(40,32,28)s(24,24,12)-+
c(24,24,20)s(24,48,12)c(40,48,12)+s(40,24,20)+*
s(16,16,12)s(16,32,20)+s(16,40,20)s(32,40,28)**
t(40,24,12)c(32,40,20)t(24,48,28)*+s(24,24,28)*
c(32,40,20)s(48,40,20)s(32,32,20)s(24,24,20)-+-
s(16,32,20)s(24,24,28)c(40,32,20)c(32,32,12)--*
s(24,32,28)s(48,8,12)+t(24,16,12)c(16,32,12)+-
s(40,32,20)t(48,24,12)-c(32,40,20)+t(32,32,28)*
c(40,16,12)t(32,48,12)t(32,32,28)c(40,16,12)-++
t(40,16,12)c(32,40,20)c(24,16,12)++c(48,48,12)+
c(40,16,12)s(24,8,12)t(32,32,12)++t(40,56,12)+
s(40,24,12)t(48,56,12)+s(24,24,28)s(48,32,20)--
t(32,48,28)s(32,8,12)t(40,24,20)+s(40,32,12)++
t(48,56,12)s(40,40,20)s(32,48,20)*+s(32,48,20)*
c(48,40,12)c(48,32,12)c(24,48,12)+s(32,40,28)*+
c(32,32,28)s(48,48,20)-s(32,24,28)*s(32,48,20)-
s(32,32,12)s(48,40,20)t(48,48,12)-t(32,24,20)-+
c(16,16,12)s(8,48,12)+t(16,48,12)+c(16,32,12)-
t(32,16,12)s(32,32,20)+t(24,32,20)+s(40,48,20)+
c(32,32,28)s(48,40,20)*s(16,8,12)+s(40,32,12)-
c(24,24,20)c(24,40,20)t(32,40,12)-+s(24,32,28)+
s(40,32,28)t(16,24,12)s(24,32,12)t(32,24,20)++-
s(24,40,20)t(40,24,20)t(40,40,20)-+s(24,32,20)*
s(16,16,20)s(24,40,20)-c(24,24,12)+t(40,32,12)+
t(32,48,28)t(24,48,20)c(40,24,20)+t(24,24,20)--
s(24,24,12)c(40,32,20)s(48,32,12)-t(40,48,20)-+
s(48,16,20)s(48,24,12)-t(32,48,12)+c(40,40,12)-
s(24,40,28)t(24,56,12)c(48,16,12)++s(48,16,20)*
s(32,24,28)s(24,32,28)*s(16,32,20)s(24,16,20)--
s(8,8,12)c(16,40,12)c(24,16,12)+c(32,24,20)*+
s(48,8,12)s(24,16,12)t(32,32,28)c(32,24,20)*++
s(40,24,20)s(16,16,20)+s(32,8,12)c(16,16,12)+*
t(24,40,28)s(16,40,20)*s(40,24,28)c(48,40,12)--
s(48,16,12)t(48,32,12)+s(16,24,12)s(16,40,12)++
t(32,40,28)t(40,48,12)s(16,24,12)+-s(40,40,12)-
s(24,32,28)s(48,40,12)c(40,24,20)+-c(40,40,12)+
t(40,40,20)c(16,24,12)t(24,48,28)s(48,48,20)++*
t(32,24,12)c(48,32,12)+c(32,24,20)+s(16,24,20)*
s(48,32,20)c(24,40,20)s(8,48,12)--c(24,32,12)+
s(48,24,20)s(32,32,28)s(16,40,20)-s(24,48,20)-*
s(24,32,28)s(40,16,12)t(48,56,12)+-c(24,40,20)*
s(40,48,20)t(48,32,12)-c(16,16,12)s(48,24,12)++
t(32,32,20)t(24,24,20)+s(48,16,20)-s(40,24,20)-
s(16,48,20)s(16,16,20)+t(24,24,20)-c(24,40,12)-
s(48,32,12)s(32,24,12)+c(32,24,20)*s(8,16,12)+
s(40,32,28)s(32,40,12)-s(8,40,12)+s(48,24,12)-
t(24,48,28)s(48,48,20)+s(8,40,12)+s(32,32,28)*
s(48,48,20)c(24,40,20)s(24,32,28)*-t(32,32,28)-
s(40,24,28)t(32,48,28)+t(32,32,20)-c(16,16,12)+
c(24,40,20)t(24,32,28)t(16,40,12)-+c(32,24,20)*
c(40,24,20)s(48,16,20)s(24,32,28)t(24,32,12)-+*
s(48,24,20)t(24,32,28)+s(24,32,20)s(16,24,20)--
c(32,32,12)s(48,24,12)+s(32,48,20)s(32,40,12)-+
c(32,24,20)s(32,24,28)c(24,40,20)--t(40,48,20)-
s(32,32,28)s(24,32,28)*s(48,24,20)s(48,40,12)--
c(32,40,20)c(24,32,20)*s(16,48,12)-s(16,32,12)-
s(32,16,12)s(24,24,28)t(24,32,28)*+t(32,40,28)*
s(24,16,20)c(24,24,20)+s(24,32,20)*s(32,24,20)*
c(32,40,20)c(40,40,20)*s(24,32,20)s(40,40,28)*-
c(40,24,20)c(32,32,28)s(24,32,12)-s(32,40,20)*-
c(32,32,20)s(24,32,12)-s(40,24,28)+s(32,32,28)*
s(32,24,12)t(32,32,12)+s(24,40,20)+c(24,48,12)-
c(24,40,20)s(8,48,12)-c(24,40,20)s(32,32,20)*-
s(48,40,20)c(16,32,12)+s(8,16,12)c(40,48,12)+-
s(32,24,28)c(40,40,20)*s(32,48,12)+t(32,40,20)*
s(16,40,20)s(24,48,20)t(24,48,28)*s(48,32,20)+*
s(40,24,12)s(48,48,12)+s(32,32,28)*s(40,8,12)+
t(40,48,12)c(32,24,20)s(32,32,20)*+s(32,24,28)+
s(24,32,20)s(48,16,20)+t(40,48,20)t(32,40,28)+*
s(24,8,12)t(40,24,20)c(24,40,20)s(16,32,20)*-+
c(32,24,20)s(16,32,20)-s(24,16,12)-c(40,48,12)-
c(40,40,20)s(32,32,20)t(24,40,28)*-s(24,48,20)-
c(32,24,20)s(48,48,20)t(40,48,20)*+t(24,48,28)-
t(16,48,12)s(16,32,20)c(32,24,20)+s(24,40,12)-+
c(40,32,20)c(24,32,12)-s(40,24,28)c(48,40,12)-*
c(24,40,12)s(48,8,12)s(32,8,12)++s(16,16,20)-
s(40,48,20)t(32,32,12)c(32,40,12)+t(24,32,28)*-
s(32,32,28)t(24,40,28)s(32,32,28)*-c(32,40,20)-
c(24,24,20)t(32,48,20)c(40,48,12)+-c(24,32,12)-
s(40,24,28)t(32,40,28)s(24,24,28)*s(16,40,12)--
s(24,40,28)t(24,24,12)-c(24,24,12)t(32,48,20)+*
c(24,24,20)s(32,32,28)t(24,32,28)+*s(24,8,12)-
t(32,32,28)s(24,40,28)*s(32,24,20)*t(40,40,20)+
s(32,24,20)t(32,40,28)+t(32,48,12)-s(40,48,20)-
t(32,32,28)s(16,32,20)c(48,40,12)c(24,32,20)+*+
s(24,32,28)s(24,40,28)*c(32,48,12)t(24,32,12)+-
s(16,8,12)s(40,48,20)s(32,40,28)*t(24,48,20)-+
s(16,32,20)s(24,40,20)c(40,40,20)s(32,40,20)**+
s(48,40,12)c(24,24,12)+t(48,16,12)+s(32,24,20)-
c(48,48,12)c(32,32,20)s(24,32,28)*t(32,48,28)*+
c(40,24,20)t(40,48,20)+s(40,40,12)-s(32,16,20)*
s(32,40,28)c(32,24,20)*s(48,24,20)-c(40,16,12)+
t(32,32,28)s(16,32,20)t(48,24,12)t(24,32,28)+*-
t(24,48,28)c(32,32,12)+s(32,40,28)s(24,32,28)**
c(40,32,20)t(24,32,28)s(24,32,20)s(32,48,12)+**
s(32,40,20)c(32,24,20)c(24,40,20)c(32,40,20)***
s(32,32,20)s(48,24,20)t(48,56,12)c(32,32,20)+*-
s(32,24,28)t(24,40,28)*c(40,32,12)-t(16,40,12)+
c(24,40,20)s(24,8,12)+c(40,40,20)s(24,40,28)*-
t(24,24,20)s(24,40,12)+c(24,24,20)c(32,32,20)**
s(32,40,20)s(24,32,20)+s(24,24,20)*c(16,40,12)-
s(24,32,20)s(40,24,28)s(32,40,20)+*c(48,48,12)+
s(32,32,20)s(48,32,12)-s(32,40,20)*s(40,16,20)+
s(24,32,28)s(32,40,28)*s(32,32,20)*s(24,48,20)-
c(32,24,20)s(40,24,28)*t(32,32,28)s(40,32,28)*+
s(48,32,12)s(24,24,20)+c(32,24,12)s(48,48,20)+*
s(40,40,28)c(48,24,12)c(24,24,20)c(24,32,20)*+*
s(40,24,20)c(40,40,20)t(24,56,12)+c(32,48,12)-*
c(24,32,20)s(40,32,12)-t(40,40,20)s(24,24,20)-+
t(48,56,12)s(16,40,20)c(24,32,20)*+t(32,32,12)+
s(24,16,20)s(24,24,12)t(32,40,12)+s(24,24,28)*-
s(40,16,20)c(48,24,12)-t(32,40,20)-t(24,32,20)-
c(24,24,20)s(32,16,12)s(32,24,20)c(16,24,12)-+*
s(32,48,12)t(24,56,12)t(24,48,20)++s(32,32,20)-
s(32,24,28)c(40,24,12)-s(24,24,20)*t(24,56,12)+
t(40,40,20)s(48,40,20)*s(48,40,12)+t(16,24,12)+
s(40,40,28)t(48,32,12)s(48,48,12)s(24,16,12)++*
s(16,24,20)t(40,40,20)t(40,48,12)-t(24,24,20)+*
t(32,48,28)s(32,40,20)s(32,32,12)t(40,16,12)+-*
c(48,40,12)t(32,48,28)t(40,48,20)*s(24,32,12)++
t(24,32,28)c(32,40,20)s(24,24,12)-*c(40,24,12)-
s(48,24,20)s(32,32,20)+s(40,40,12)-t(32,24,20)*
t(24,40,28)s(48,48,20)-c(32,32,20)+t(24,48,20)*
s(32,32,28)t(32,24,20)c(48,40,12)+-t(24,40,12)-
t(24,32,28)s(24,32,28)t(32,32,28)s(32,40,28)***
c(40,24,20)s(48,8,12)s(32,40,28)+*c(24,32,12)+
s(48,32,20)t(32,40,28)s(24,32,28)*c(24,40,20)*-
c(48,48,12)t(40,48,20)c(32,40,20)*c(16,16,12)++
t(24,32,28)s(32,24,20)s(24,32,20)+*s(32,24,20)*
s(40,24,28)t(32,48,12)c(32,24,20)c(32,32,20)*+-
s(40,32,20)t(48,16,12)+s(48,24,12)-s(24,24,20)+
t(32,24,20)t(48,48,12)+c(24,48,12)+c(40,32,20)-
t(24,32,28)s(32,24,28)s(40,40,28)s(24,48,20)+**
s(16,40,20)s(32,40,20)c(40,40,20)s(32,32,28)**-
s(16,48,20)t(24,48,20)s(32,16,20)+*c(24,40,12)+
c(32,32,20)s(24,24,20)*s(32,24,20)*s(40,32,12)-
s(40,32,28)s(48,24,20)s(48,16,20)c(16,32,12)+**
s(32,24,28)t(32,48,28)s(40,40,20)*+c(24,24,20)*
s(24,32,20)c(40,24,12)+c(32,40,20)*t(32,40,28)*
t(32,48,12)s(32,24,20)c(40,32,20)*+c(16,40,12)+
s(32,32,20)s(24,32,20)s(40,40,28)+s(24,24,20)**
t(32,40,20)s(8,32,12)s(40,24,12)+s(16,16,20)--
t(40,40,20)s(48,24,12)s(16,32,12)+s(40,24,28)*-
t(24,32,12)s(40,32,12)+s(16,40,12)+s(16,32,20)*
s(40,48,20)s(24,40,28)s(48,24,20)--s(8,48,12)+
s(32,40,20)s(40,40,20)*t(40,24,12)s(24,48,12)+-
c(24,24,20)s(16,40,12)-s(48,40,20)-t(40,24,12)-
s(40,24,28)s(48,16,20)c(24,32,20)s(24,16,12)--*
s(24,32,28)c(24,48,12)-s(32,32,28)c(32,40,20)*-
c(32,32,20)t(16,40,12)-s(40,40,28)*s(48,32,20)*
s(40,40,28)t(24,48,28)t(24,40,28)**s(32,16,20)-
s(24,24,28)s(32,32,28)*s(48,24,12)+s(32,40,28)+
c(32,24,20)s(40,16,20)c(32,16,12)c(24,48,12)+-+
c(32,24,20)s(32,32,28)t(48,40,12)-*c(16,32,12)-
s(40,32,12)c(16,32,12)c(48,24,12)++c(40,40,20)*
t(32,48,28)t(40,48,20)s(24,40,28)+c(48,40,12)-*
c(40,32,20)c(24,40,20)s(32,32,28)s(40,48,12)---
s(40,40,28)s(32,32,12)-s(48,24,20)t(40,40,20)++
t(24,40,28)s(32,16,20)-s(40,40,20)+t(24,40,28)*
c(40,32,20)c(40,40,20)c(24,48,12)-t(40,32,20)*-
c(40,32,20)s(48,16,20)s(8,48,12)+-t(32,24,12)+
c(32,40,20)c(40,40,20)t(32,48,20)--s(40,40,12)-
s(8,32,12)s(40,16,20)c(40,32,20)*+s(16,24,20)-
c(24,32,20)c(32,32,20)*t(24,32,28)c(24,32,20)**
t(40,56,12)t(24,32,28)+t(32,56,12)c(40,24,20)+-
c(24,24,20)s(32,32,20)s(48,48,20)s(40,40,20)*--
s(24,32,28)s(40,32,20)t(40,24,12)--c(24,24,20)*
t(16,40,12)t(40,16,12)c(40,40,20)+s(32,40,20)*+
c(32,32,20)s(48,24,20)+s(16,32,12)-s(24,24,28)*
t(24,32,28)s(48,16,12)+s(16,40,12)-t(24,40,20)-
s(40,24,28)t(24,24,12)-c(32,32,20)c(40,24,20)+*
t(24,48,28)s(32,48,20)t(24,48,12)-t(32,24,12)+*
s(24,16,20)s(40,8,12)-c(16,32,12)-c(40,16,12)+
t(48,16,12)s(40,32,12)t(32,24,20)+s(24,48,20)-+
c(32,24,20)s(32,8,12)-t(32,32,28)*c(48,24,12)-
c(32,40,20)s(24,16,12)t(40,56,12)+-c(32,32,12)-
c(32,32,28)t(24,32,28)c(40,40,12)-c(24,32,12)--
s(24,40,20)s(8,8,12)s(32,24,28)t(24,32,28)*+*
s(40,40,12)s(32,40,20)c(24,40,20)*s(40,40,20)*+
c(48,16,12)s(32,40,20)s(32,32,28)c(40,32,20)**+
s(24,40,28)s(8,8,12)t(24,48,28)s(40,24,20)++*
t(32,40,20)c(32,32,20)s(24,16,20)-t(32,40,28)**
t(32,24,20)t(24,48,20)+t(32,40,28)*t(40,40,20)-
c(40,32,20)s(32,40,28)c(32,24,20)*+t(24,32,20)*
s(48,48,20)s(40,40,28)c(40,32,20)*s(16,24,20)-*
s(40,48,20)s(16,16,12)+c(32,32,28)s(40,40,12)--
c(40,32,20)t(40,16,12)-t(32,24,20)t(40,24,20)+-
s(16,40,20)t(32,48,20)s(32,48,20)s(16,40,20)-+-
t(24,40,28)c(16,48,12)s(32,40,28)c(24,24,20)*++
t(24,32,20)s(40,24,20)s(40,32,12)s(16,40,12)+-+
s(24,48,20)c(40,24,12)t(24,40,20)+s(40,16,20)--
s(16,32,20)s(48,40,20)+t(32,40,28)-s(32,24,12)+
s(24,24,28)c(40,40,20)-s(32,24,28)t(32,24,20)-*
t(24,40,28)s(16,24,12)+s(32,24,12)-s(40,32,28)*
s(24,24,28)s(40,48,20)s(48,48,20)t(24,40,28)-*+
s(24,24,20)t(32,48,20)+c(40,40,12)-t(24,40,20)+
t(24,24,20)c(16,32,12)s(40,24,12)++c(32,40,20)*
t(32,24,12)t(32,40,20)+s(48,8,12)t(32,32,28)+*
s(32,40,28)s(40,48,12)c(40,24,20)s(24,32,28)*+*
c(24,24,20)s(40,24,28)t(48,32,12)s(32,48,20)+--
s(40,24,20)c(48,24,12)-c(16,48,12)+s(48,24,20)-
s(32,24,20)s(32,32,20)*c(32,24,12)t(40,32,12)+*
t(32,32,28)s(32,24,28)*s(48,24,20)+t(40,32,20)-
s(24,48,20)c(32,40,20)*s(40,32,28)+s(24,24,28)*
c(24,24,20)s(40,24,28)*s(48,32,20)+c(32,24,20)+
t(24,40,28)s(32,40,20)s(48,24,12)+*s(16,16,20)-
s(24,48,20)t(40,40,20)s(40,32,12)t(40,48,20)+*+
s(32,32,20)s(40,40,28)s(48,24,20)-t(24,32,28)*-
s(24,16,20)c(32,16,12)t(32,40,28)c(24,48,12)-+*
c(32,40,20)c(48,24,12)t(32,32,28)+s(24,32,20)**
c(40,40,20)c(32,32,20)s(32,24,28)**s(40,24,20)*
t(32,32,20)s(16,48,20)s(16,16,12)+s(24,16,12)++
c(48,16,12)c(32,32,28)s(24,48,20)s(48,40,20)-*+
s(40,8,12)s(32,40,20)+c(32,40,20)*c(40,40,20)*
c(40,32,20)t(40,48,20)-c(24,40,12)-t(24,24,20)-
t(24,40,28)s(40,40,28)c(24,32,20)c(32,24,20)**-
t(48,48,12)s(24,8,12)s(32,24,20)+s(40,40,28)*+
s(40,24,28)t(48,56,12)c(32,40,20)+*s(16,40,20)-
t(32,40,28)c(32,32,12)-s(16,16,20)s(32,24,28)*+
c(24,32,20)s(40,32,20)s(48,48,20)+*c(32,40,20)*
s(40,40,20)c(32,32,12)t(32,40,28)s(40,24,20)-+*
s(40,32,20)s(32,32,20)s(16,32,20)s(16,48,20)--*
s(24,24,28)s(40,16,20)*t(32,40,20)c(48,48,12)--
s(32,40,28)c(32,32,28)s(24,24,12)-s(24,48,20)*-
s(40,24,20)c(40,40,20)c(40,24,12)+s(32,40,20)--
t(24,48,12)c(32,24,20)s(40,32,28)s(40,16,12)--+
s(32,24,20)c(40,24,20)c(32,32,20)s(16,24,12)-**
s(40,40,28)s(16,32,20)+c(32,24,20)s(32,8,12)--
c(40,24,20)s(16,24,20)s(24,48,20)-s(16,40,20)+-
s(40,32,20)s(24,24,20)-s(32,24,28)s(16,24,20)-*
t(24,24,20)s(32,40,12)-s(40,16,20)t(24,40,28)-+
s(24,16,20)c(24,40,12)+s(32,24,20)t(32,32,20)+*
s(40,16,12)t(24,32,28)+c(40,24,12)s(16,16,20)+*
s(32,24,20)s(32,40,20)s(32,40,28)s(24,32,20)**-
s(16,32,20)c(32,32,28)*t(32,32,28)c(48,32,12)-+
s(40,32,20)s(16,32,20)t(32,40,28)t(16,24,12)++*
s(32,40,28)s(24,40,20)s(16,48,20)t(40,24,12)++*
c(24,40,12)s(32,40,20)s(16,48,12)-c(40,24,20)*+
s(32,16,20)t(24,32,28)s(40,40,28)-s(32,16,12)+*
c(32,24,20)t(48,40,12)+t(40,32,20)-s(40,32,28)*
t(24,32,28)t(32,40,28)*s(24,48,12)-s(24,32,20)+
s(32,16,20)t(24,48,28)t(40,48,12)-t(32,48,28)+-
t(40,56,12)t(48,16,12)t(16,24,12)s(24,48,12)+++
s(32,16,20)s(16,24,20)c(32,32,28)t(40,32,20)-*-
s(8,32,12)c(24,32,12)+s(32,40,20)+c(24,40,12)-
c(24,32,20)t(32,48,12)-s(48,40,20)-c(16,48,12)-
s(24,24,20)s(24,24,28)c(40,40,12)-s(32,40,28)*+
t(24,32,28)t(32,48,28)s(40,48,12)-s(16,48,20)+*
s(24,24,20)t(32,16,12)s(16,40,12)+-c(32,48,12)+
s(24,24,28)t(32,48,20)t(16,56,12)t(24,24,12)+-+
c(32,40,12)c(32,32,28)c(16,16,12)-s(40,48,20)*+
s(48,32,12)t(32,40,28)c(40,48,12)-+s(24,40,28)*
c(40,24,20)t(48,24,12)t(32,24,20)+c(24,48,12)+-
t(24,48,12)t(16,40,12)s(48,24,12)++c(32,40,20)*
c(32,24,20)s(40,24,28)s(32,24,28)**s(48,24,20)-
t(24,32,12)c(16,16,12)+s(40,24,28)c(24,40,20)*-
t(24,24,20)s(40,48,20)+t(48,24,12)s(16,24,20)+*
c(32,48,12)c(40,16,12)+s(32,8,12)s(16,24,20)+-
s(48,16,12)s(32,40,12)s(40,32,20)c(24,40,20)*++
s(24,40,28)s(32,16,20)-c(16,48,12)-s(16,8,12)+
t(24,40,28)t(32,40,20)c(40,32,12)+c(24,40,20)*-
c(40,48,12)c(40,40,12)+c(48,48,12)t(24,32,12)++
s(24,24,12)t(16,40,12)+s(24,40,20)c(32,24,12)+*
s(24,32,28)t(24,40,28)*s(40,48,20)-c(24,16,12)+
t(48,40,12)s(40,48,20)s(48,40,20)s(40,32,28)*-+
s(32,24,28)c(40,40,20)*t(16,32,12)s(40,48,12)+-
s(40,32,28)c(32,40,20)t(32,40,28)+s(16,16,12)+*
t(24,48,12)t(32,16,12)c(32,40,12)+s(40,24,12)-+
c(32,48,12)s(48,40,20)+s(24,24,12)+s(48,32,12)-
t(24,24,20)t(24,40,20)+s(48,48,12)+s(24,40,20)-
c(40,48,12)c(40,16,12)s(48,16,20)c(32,24,20)-++
c(24,24,20)t(40,40,12)+s(32,16,20)*t(24,32,20)-
s(16,32,20)t(24,32,20)s(24,24,20)*-s(32,40,20)-
s(24,32,20)c(32,32,28)s(24,40,28)*s(24,24,28)**
c(32,32,12)s(48,48,20)+s(32,32,28)s(32,48,20)*-
s(48,40,20)s(48,24,12)+s(24,40,28)c(24,32,20)*+
s(40,24,28)c(48,24,12)-c(48,40,12)c(32,24,12)+*
s(24,16,20)s(48,48,20)s(32,24,20)+s(24,24,20)**
s(24,32,28)c(32,32,28)c(16,48,12)-*s(32,16,20)*
c(40,32,20)s(40,32,28)s(24,32,28)**s(24,40,20)*
s(24,40,28)t(24,32,28)*s(32,40,28)*t(16,56,12)+
s(48,40,20)s(24,48,12)+s(24,48,20)s(48,32,12)+-
s(48,40,12)s(24,40,28)s(24,48,20)c(24,40,12)-*+
s(32,40,12)t(40,48,12)+c(40,40,20)s(32,48,20)**
c(40,24,20)t(24,32,12)-c(32,32,28)c(32,32,12)-*
s(8,40,12)t(32,32,28)s(40,32,20)*+s(32,24,20)*
c(32,24,20)s(48,8,12)t(40,48,20)t(24,48,12)+++
s(40,32,20)s(48,48,20)-t(24,40,20)+t(32,32,28)*
s(16,24,20)c(16,24,12)s(40,24,12)+t(40,16,12)+-
c(32,24,20)s(40,40,28)s(40,48,20)-s(40,24,28)*-
s(32,32,28)t(24,24,20)-t(40,40,12)-s(24,24,28)-
s(32,40,28)s(16,32,20)*c(24,40,20)s(16,32,12)-+
s(32,40,28)c(24,32,20)s(40,40,12)-s(24,40,28)+*
s(40,24,20)t(24,32,20)s(16,16,12)+s(24,32,28)*-
c(32,24,20)c(16,40,12)-s(16,40,20)+s(32,32,28)*
s(48,40,12)c(24,32,20)+t(32,56,12)+s(24,24,28)-
s(24,24,28)s(16,40,20)*t(32,48,12)+s(16,48,12)-
c(40,32,20)t(32,32,12)-c(24,32,20)s(32,16,12)++
t(24,40,28)t(16,40,12)-s(24,16,20)-s(24,48,12)-
c(24,32,20)t(40,40,20)s(24,48,12)t(32,48,12)++*
s(24,40,28)s(40,32,20)t(24,40,28)s(24,40,20)*+*
s(48,16,20)s(24,40,28)-c(32,32,20)t(32,40,12)-+
c(32,40,20)c(32,32,20)+s(32,32,12)-c(32,32,20)*
s(24,32,28)s(32,48,20)*c(40,48,12)+c(24,32,20)*
c(32,32,28)s(32,32,20)-c(16,48,12)c(32,48,12)+*
s(40,24,28)s(24,24,28)t(48,40,12)+t(24,32,20)-*
c(32,32,20)s(32,24,20)c(24,32,20)s(32,48,20)---
s(48,32,20)s(40,8,12)s(32,40,28)+*c(40,40,12)+
c(24,40,20)s(8,8,12)+s(8,8,12)-t(32,48,20)-
c(32,32,20)c(24,32,20)*t(32,32,12)s(32,48,20)+*
c(48,24,12)c(24,40,20)s(16,48,20)*+c(32,48,12)-
s(32,32,28)s(24,40,28)c(40,32,20)*t(40,24,20)+-
s(32,16,20)s(40,24,28)*s(16,24,12)+t(40,56,12)+
c(32,24,20)c(32,32,20)s(40,32,20)**s(48,24,20)+
t(40,32,12)s(40,48,20)c(16,32,12)s(32,48,20)+*+
s(16,8,12)t(40,24,20)+c(48,16,12)t(40,16,12)+-
s(40,40,20)t(40,48,20)*t(24,24,20)s(24,40,20)++
s(40,24,28)c(40,40,20)*s(40,40,28)t(40,40,20)-*
s(16,32,20)c(32,32,20)c(16,24,12)+*c(32,32,20)+
s(16,24,20)t(32,48,20)s(16,24,12)+s(48,24,12)+-
c(24,32,20)t(24,48,20)-s(32,24,28)*s(32,24,20)*
s(48,24,20)s(32,40,20)+s(16,24,20)s(8,16,12)--
s(24,32,28)s(32,32,12)-s(48,40,20)s(24,8,12)+-
s(40,32,28)s(48,24,20)*s(24,24,20)s(8,16,12)--
s(32,40,12)s(32,16,20)+c(40,32,20)t(24,16,12)+*
c(24,24,20)t(32,16,12)-c(24,32,20)s(48,24,20)-*
s(8,8,12)s(40,32,20)c(32,24,12)-+s(24,32,28)-
s(32,40,28)s(40,32,28)s(24,16,12)c(32,40,20)++*
s(32,40,28)c(24,40,20)s(32,16,20)-t(24,32,28)*-
s(32,24,28)t(40,32,12)-t(48,16,12)-c(40,32,20)*
s(32,24,28)s(40,24,12)-s(48,24,20)-c(32,48,12)-
t(24,48,28)t(32,48,20)*s(16,32,20)c(32,24,12)++
c(24,32,12)s(48,16,20)t(32,40,28)s(32,24,28)+*+
s(32,24,20)t(32,48,28)s(24,40,20)*+s(40,40,20)*
t(40,32,20)t(24,40,20)c(48,48,12)++t(32,40,20)-
s(24,32,28)s(40,24,28)+t(24,48,28)*s(40,24,20)-
s(24,32,28)s(24,24,20)c(48,32,12)+*c(32,24,20)*
s(24,32,20)s(32,40,28)t(32,32,20)-t(32,32,28)+*
s(48,40,12)s(32,40,20)t(24,40,28)*+t(24,48,20)-
s(32,48,20)t(48,24,12)t(24,32,28)+-s(32,40,12)+
s(32,32,28)c(24,24,20)t(32,24,20)s(48,32,12)++*
s(40,40,20)t(24,40,28)t(40,48,12)s(24,40,20)+*-
s(32,40,28)t(32,32,28)+t(24,24,12)-t(16,40,12)-
s(24,8,12)t(40,40,20)+s(24,16,20)+t(40,48,20)+
c(40,32,20)s(48,32,20)c(40,16,12)-s(24,48,20)-+
s(24,24,20)c(24,40,12)+t(40,24,12)+t(32,48,20)+
s(40,24,20)s(32,32,20)c(48,40,12)-t(24,48,12)+-
s(32,24,28)t(24,24,20)t(32,48,28)c(16,40,12)---
s(24,32,20)t(16,24,12)-t(24,48,28)s(32,48,20)*-
t(24,32,28)t(40,24,20)-s(24,24,20)*s(8,40,12)+
t(32,48,28)c(40,40,20)*t(24,32,28)s(8,24,12)+*
c(40,16,12)c(24,48,12)+s(8,24,12)+s(16,40,20)*
s(48,48,20)c(32,32,20)c(16,24,12)-t(32,32,20)--
t(32,24,20)c(16,16,12)+c(32,32,20)s(24,24,20)--
t(40,24,20)c(40,16,12)+s(32,24,20)*t(24,56,12)+
s(16,32,20)t(48,56,12)c(32,24,12)++c(32,24,20)*
s(32,32,28)c(40,40,20)+s(24,32,28)*s(8,8,12)+
t(40,48,12)t(32,32,28)+s(32,32,12)-s(24,24,28)*
t(40,40,20)s(16,48,12)+t(48,56,12)+s(48,24,20)-
s(8,24,12)s(32,48,20)c(32,40,20)*t(40,48,12)-+
s(24,40,28)c(32,40,20)*c(24,24,20)s(32,24,20)*-
s(24,16,12)s(24,40,20)c(16,32,12)s(32,40,12)+*+
s(24,40,28)s(32,48,20)c(32,32,12)--s(32,40,28)*
t(32,24,12)s(24,48,20)t(32,48,20)++s(40,24,28)*
c(32,40,12)s(40,40,20)t(32,40,20)-+c(24,16,12)+
s(24,40,28)s(8,48,12)t(48,48,12)+s(24,24,12)+*
s(24,24,28)s(16,16,20)t(24,24,20)+c(48,24,12)+*
c(16,48,12)c(40,48,12)+c(32,32,28)*t(24,24,12)+
s(24,24,28)s(32,16,12)c(24,24,12)+s(32,24,20)*-
s(24,16,20)s(16,16,20)*c(24,32,20)c(40,24,20)*-
c(40,40,20)c(40,32,20)c(32,40,20)+t(24,48,20)-*
s(8,16,12)s(24,24,28)t(16,32,12)-c(24,24,20)*+
c(32,24,12)c(48,16,12)+s(24,24,20)c(24,32,20)*-
s(48,24,20)c(32,24,20)s(32,16,20)-+c(32,40,20)+
t(32,48,20)s(48,32,20)+s(40,40,20)*t(32,40,28)*
t(32,48,20)s(8,8,12)+c(32,32,20)c(16,48,12)--
s(24,32,28)c(24,40,20)s(48,40,20)-*s(8,40,12)-
c(32,24,20)s(40,24,20)+s(48,48,20)-s(32,32,20)+
s(16,16,20)s(32,40,28)s(40,24,12)-c(40,32,20)*-
t(16,48,12)t(24,40,28)s(48,32,12)c(24,24,20)+*+
c(24,24,20)s(48,48,20)s(40,40,20)+-s(32,16,12)-
s(48,40,12)s(24,32,28)+t(40,40,12)s(40,16,12)+-
t(32,48,20)s(40,24,28)t(24,24,12)s(8,40,12)+--
c(24,32,20)s(24,32,28)s(32,32,28)**t(32,48,12)-
t(24,48,28)c(40,40,12)+c(40,32,20)*c(16,32,12)-
c(32,32,20)s(40,32,12)s(48,16,20)+s(48,32,12)--
c(32,24,20)s(32,16,20)*s(16,24,20)+c(40,32,20)*
s(16,32,20)s(32,40,28)+s(16,48,20)-t(40,24,20)-
c(40,24,20)t(24,40,28)s(40,40,20)s(48,16,20)-*-
s(24,48,20)t(32,56,12)t(48,32,12)+-s(24,32,28)*
t(24,32,28)s(32,32,28)*s(24,40,28)c(16,32,12)-*
c(24,40,20)s(24,40,12)s(24,48,12)s(40,48,12)++-
c(24,32,20)s(48,32,20)-s(48,24,12)+s(24,40,28)*
s(24,40,12)t(40,24,12)+s(40,24,20)+t(24,24,20)+
s(24,32,28)s(32,48,20)s(24,40,28)*s(48,40,12)+*
t(32,48,28)t(32,40,28)s(16,16,20)s(32,16,20)*+*
c(40,48,12)s(32,16,12)+t(32,48,28)s(40,32,28)-+
s(24,32,28)c(32,48,12)-c(40,40,12)t(16,16,12)+-
s(32,24,20)t(16,24,12)-s(24,24,28)t(32,56,12)+*
s(32,32,28)s(16,16,20)-s(24,24,12)+t(24,24,20)-
c(32,32,28)t(24,40,28)t(40,48,12)-s(24,48,20)*-
s(40,24,20)s(32,32,20)-c(32,32,20)+s(32,24,28)*
t(32,40,28)t(24,24,20)+c(40,40,20)c(16,40,12)+*
s(48,32,12)c(24,24,20)t(24,48,28)-t(24,24,20)*+
t(32,48,28)s(32,32,28)c(24,24,20)*s(40,16,20)-+
s(40,48,12)t(24,48,28)+c(40,32,20)c(32,32,20)**
t(48,48,12)s(32,24,20)+s(16,24,12)-s(48,32,20)-
t(24,32,28)c(40,40,12)c(24,32,12)+t(32,40,28)**
c(24,24,20)s(24,16,20)+s(32,24,20)s(24,32,28)+*
c(48,24,12)t(24,24,12)+c(16,32,12)+c(24,48,12)+
c(40,40,20)s(48,24,12)-s(32,40,28)*s(24,24,20)+
s(48,32,20)s(16,16,20)+s(48,32,20)c(24,48,12)+*
s(48,32,20)s(40,24,20)s(32,16,12)-s(24,24,20)+*
s(24,40,28)s(32,32,28)*s(24,48,20)t(32,40,28)**
s(24,40,28)c(40,48,12)-t(32,48,28)c(40,48,12)-*
s(40,16,20)t(24,32,20)c(40,24,20)+t(24,56,12)+*
s(24,40,28)s(32,40,28)c(32,24,12)s(40,16,20)+-*
t(40,48,20)s(40,16,20)t(48,24,12)-+c(40,32,20)*
s(32,32,28)s(48,16,12)-t(24,40,28)*c(48,32,12)+
s(40,16,20)s(40,24,28)s(24,32,28)*t(32,24,20)*+
s(32,16,12)c(40,32,20)+t(16,16,12)c(24,24,12)++
s(24,24,28)s(16,16,12)s(16,40,20)+c(32,40,20)-*
c(32,32,12)s(24,16,20)+s(48,48,20)+s(48,16,20)+
s(16,24,20)s(16,16,12)-c(32,48,12)+s(32,40,28)*
t(40,32,20)t(40,40,12)+t(24,32,20)s(24,16,12)-+
s(16,24,20)s(24,48,12)+t(32,40,28)*t(40,40,20)+
s(40,32,20)c(32,32,28)s(48,40,12)-*c(32,32,20)*
s(16,16,12)s(24,40,28)+s(24,16,20)-c(24,32,20)*
t(32,48,28)c(24,40,20)s(24,16,20)+s(48,24,20)+*
t(40,48,20)s(16,40,20)s(24,32,28)*+s(40,40,28)-
t(40,56,12)s(40,16,20)s(32,16,20)t(16,24,12)-*+
s(32,24,28)s(16,24,20)*t(16,40,12)-s(24,24,12)+
s(24,40,12)t(40,40,20)+t(16,32,12)c(16,48,12)+-
s(40,24,20)t(40,40,20)+s(40,40,20)*s(16,24,12)+
c(32,32,20)c(32,24,20)s(40,24,20)t(24,32,20)+**
c(32,32,28)s(32,40,28)s(40,48,12)--s(48,40,12)+
c(32,40,20)s(32,48,20)c(24,24,20)--s(32,40,20)*
t(32,40,28)c(40,40,20)t(40,56,12)-s(32,24,20)+*
s(24,24,28)s(16,32,12)-s(16,40,20)-s(32,16,20)*
s(48,24,20)t(32,40,28)-s(8,16,12)+s(48,40,20)-
c(48,48,12)s(16,16,12)+t(16,56,12)t(16,40,12)++
c(32,40,20)s(24,40,28)t(48,48,12)t(24,40,20)+--
t(32,40,28)s(24,48,20)s(40,40,12)+c(32,24,20)--
s(16,24,12)c(40,16,12)t(24,48,28)c(32,32,20)*++
c(24,16,12)t(32,32,28)s(24,32,28)*s(8,24,12)++
t(40,16,12)t(24,32,20)+s(24,16,12)-c(24,40,20)*
s(40,40,12)s(32,32,12)+s(16,16,20)+s(48,48,20)-
c(32,24,20)c(24,40,20)*c(16,24,12)s(40,8,12)++
t(48,48,12)t(16,40,12)+c(32,24,12)c(24,48,12)++
s(24,24,20)c(24,24,12)s(32,32,20)+s(24,8,12)+*
s(24,16,12)c(32,40,20)+c(40,32,20)s(32,32,28)**
c(24,40,20)t(40,48,20)-t(24,40,28)s(16,32,12)--
s(24,32,28)s(32,32,20)t(24,48,12)t(32,24,12)++*
s(48,32,20)c(48,48,12)t(32,16,12)++s(40,40,12)-
c(16,16,12)c(40,24,20)s(32,16,20)*t(40,48,12)++
s(48,48,20)t(40,56,12)s(24,24,28)+c(24,32,20)*-
s(32,24,28)t(24,32,28)s(24,24,28)*s(24,24,12)-*
t(32,40,28)c(40,48,12)c(24,24,20)+s(24,32,20)-+
t(32,32,28)t(32,40,28)*c(32,24,12)t(24,40,28)+*
s(32,32,20)s(48,16,20)-s(40,24,20)t(24,40,12)+*
s(32,32,28)s(32,40,20)s(24,24,28)+t(32,32,12)-*
t(40,40,20)c(40,32,12)s(48,16,20)+s(32,24,20)*+
s(40,48,20)c(16,48,12)+s(16,40,20)+t(48,56,12)-
t(40,24,12)s(16,48,20)s(24,40,20)s(40,16,20)+-+
s(40,48,20)s(40,8,12)t(48,24,12)++c(32,24,20)*
t(24,48,28)s(32,32,12)-s(40,40,28)t(24,40,12)--
c(48,40,12)t(32,32,28)t(32,48,20)+t(40,48,20)*+
c(40,32,20)s(16,16,20)s(24,32,20)-+c(24,32,20)*
s(40,32,20)s(48,16,20)+s(32,32,20)t(16,16,12)+*
c(40,24,20)c(40,32,20)c(32,16,12)-s(40,32,20)**
c(24,32,20)c(32,24,20)*s(40,32,20)s(24,24,20)--
s(40,32,28)c(24,24,12)t(24,48,20)+s(40,40,12)++
c(32,32,28)s(40,32,28)s(16,40,20)--s(40,40,20)+
s(32,40,28)s(32,16,12)s(16,40,20)+s(24,40,12)--
s(40,24,28)c(24,32,20)s(24,40,12)s(16,16,20)+*-
s(24,40,28)s(32,24,28)s(40,24,20)t(40,40,20)++-
c(32,24,20)s(48,48,20)-c(40,48,12)s(32,16,20)+*
c(40,24,20)c(24,24,12)-t(24,16,12)t(32,16,12)++
t(24,32,20)s(24,16,12)c(48,24,12)+s(48,48,12)+-
s(40,40,20)s(40,16,12)+t(48,48,12)s(32,32,20)+-
t(24,48,28)s(24,24,28)c(32,40,12)-s(16,40,20)+*
t(32,32,20)c(24,40,20)s(8,48,12)-*s(24,16,12)+
t(32,32,28)s(24,32,28)s(24,16,20)c(24,24,20)+**
s(40,48,12)s(8,32,12)s(24,24,28)c(24,40,20)*++
s(40,40,28)s(8,8,12)+c(32,24,20)*t(24,40,12)-
t(32,48,28)s(24,24,20)+c(24,32,20)*s(40,48,20)-
s(16,16,20)s(24,40,28)s(40,24,28)t(32,16,12)-*-
c(48,24,12)s(32,40,28)t(32,32,28)c(16,24,12)-*+
s(40,24,28)s(32,24,12)-s(24,16,20)+c(40,32,20)-
c(32,32,12)s(16,16,20)+c(32,32,28)*s(24,8,12)-
t(32,32,20)c(32,32,28)s(40,24,28)t(32,32,28)-*+
t(32,48,28)t(24,24,12)t(40,32,20)+-c(32,32,20)-
s(32,32,20)t(32,24,20)*s(32,8,12)t(32,16,12)++
s(24,32,20)s(40,32,20)s(24,24,12)-t(24,24,12)+-
t(32,32,28)t(24,40,20)c(24,48,12)+s(48,24,12)+*
t(24,32,28)t(32,40,20)c(16,32,12)-t(24,40,28)*+
c(40,24,20)c(24,40,20)-s(32,40,12)+t(40,24,20)-
s(32,40,28)s(16,8,12)+s(8,48,12)s(48,32,20)+*
c(32,32,20)s(16,40,12)+t(24,32,28)*s(16,40,20)-
s(24,48,12)s(40,16,20)t(40,24,20)-+s(24,40,20)-
c(32,40,20)c(32,24,20)*s(32,32,20)s(32,24,20)**
t(32,48,28)t(24,32,28)*s(48,16,20)+c(32,40,20)*
s(32,48,20)s(16,24,20)c(32,40,20)t(32,56,12)-+*
c(32,32,20)c(40,40,20)*t(24,48,28)+s(16,24,20)-
s(40,40,20)s(32,40,20)s(48,24,20)-t(32,32,20)+*
c(24,32,20)c(32,40,20)s(40,24,12)c(24,40,20)+**
c(40,32,20)c(24,48,12)-s(16,24,12)c(40,16,12)++
t(24,40,28)t(32,32,28)c(16,48,12)-t(32,48,20)++
s(32,32,28)c(40,32,20)*s(16,24,20)s(16,32,12)--
s(48,24,20)s(40,32,12)t(24,48,28)t(24,40,20)-+-
t(40,24,12)t(16,40,12)c(40,32,20)+s(32,48,20)*+
t(24,56,12)s(40,48,20)+s(32,24,28)t(24,48,28)+*
s(24,24,28)s(32,32,20)s(48,40,12)-t(48,32,12)+*
s(24,24,20)s(48,32,12)c(24,32,20)+*t(24,48,20)-
s(32,32,20)t(32,32,20)s(40,8,12)+*s(48,24,12)+
t(32,32,28)c(16,16,12)s(32,32,20)s(24,40,12)-+*
s(24,48,20)s(48,40,20)t(40,48,20)+s(32,48,20)+*
c(40,40,20)s(32,48,12)s(48,40,20)+t(24,40,20)-*
s(40,48,20)s(16,32,12)+s(48,40,20)-s(40,40,12)+
s(8,40,12)s(24,40,20)s(32,32,20)-+s(24,40,20)*
s(16,24,20)c(24,24,20)s(40,40,28)s(32,24,20)*-*
c(16,16,12)c(40,32,20)+s(24,40,20)-s(24,24,20)-
c(32,32,20)s(32,24,28)s(48,24,12)c(24,24,12)+**
s(40,32,28)c(24,24,20)t(16,40,12)t(24,32,20)+*-
c(40,24,20)s(40,16,20)s(32,40,20)-s(8,32,12)+*
t(32,40,28)c(48,40,12)s(32,24,12)+s(16,16,20)+-
t(40,56,12)s(24,48,12)s(32,16,20)++s(48,48,20)+
s(16,16,20)s(24,16,12)-c(32,40,20)c(32,48,12)--
c(40,24,12)t(40,40,20)s(40,24,20)+t(40,24,20)-+
t(40,32,12)c(32,48,12)s(40,32,20)c(40,40,12)-++
t(24,32,28)s(16,48,12)-c(24,16,12)-c(24,32,12)+
s(24,40,20)s(16,16,20)t(24,40,20)+*s(32,24,12)-
c(32,24,20)s(24,40,28)*t(32,32,28)c(24,32,20)**
s(16,40,20)t(32,48,20)-t(40,56,12)+t(32,40,20)-
c(24,24,20)c(24,40,20)*c(40,32,12)+s(24,24,20)*
s(16,40,20)s(24,48,12)c(16,24,12)+*t(32,40,28)+
c(32,32,20)s(40,24,20)c(32,24,12)t(24,40,28)+*-
s(32,32,28)s(16,24,12)t(24,32,20)+*t(16,24,12)-
s(48,16,20)c(32,32,20)-c(16,16,12)+s(40,16,12)-
c(40,32,20)s(24,24,28)s(16,48,20)-s(40,16,12)--
s(32,40,28)c(24,32,12)-s(40,32,20)t(24,24,12)++
s(48,40,20)s(48,32,20)*s(24,16,12)c(40,40,20)+*
c(48,24,12)c(24,32,20)c(32,40,12)-t(24,40,28)*+
s(48,40,12)s(40,16,20)s(32,8,12)-+c(32,32,28)*
s(32,48,20)t(24,48,12)s(40,40,12)+s(48,8,12)+*
t(40,40,20)s(16,16,20)t(32,40,20)+s(32,40,20)*+
s(16,24,12)t(24,24,20)+c(40,32,20)t(32,48,20)-+
c(48,24,12)c(32,32,20)s(16,24,20)t(48,32,12)+-+
s(40,32,20)s(32,48,12)-s(40,32,28)s(48,48,20)*-
s(40,24,20)s(16,40,20)s(32,40,28)s(32,32,28)**+
t(32,32,28)s(32,24,20)*t(32,32,20)s(48,8,12)+*
c(32,32,28)s(16,48,20)*s(24,8,12)+s(24,32,28)*
s(40,48,20)s(48,48,20)+c(24,24,20)-c(24,40,12)+
c(32,32,20)t(32,40,28)*t(24,32,28)s(40,24,28)**
t(32,48,28)t(24,32,28)s(16,40,20)s(32,48,20)-+*
t(24,32,20)t(24,24,20)c(16,48,12)s(16,32,12)++*
c(40,16,12)s(24,48,12)+c(16,32,12)t(32,32,28)+-
s(24,8,12)s(40,40,20)s(32,24,28)*+t(32,40,20)+
s(16,32,12)t(24,24,20)+s(16,48,20)+c(48,32,12)+
t(24,16,12)s(48,24,20)c(48,40,12)-+s(32,32,28)+
s(24,32,28)c(48,16,12)+s(32,24,28)*s(24,24,20)+
s(32,32,28)t(32,32,20)-s(24,32,28)t(48,32,12)+*
c(32,32,20)c(40,24,20)*s(40,32,20)*t(24,40,20)-
t(24,40,12)s(48,32,20)+c(48,24,12)-s(32,40,20)*
t(32,48,28)c(40,24,20)s(40,32,20)*+s(24,32,20)*
c(32,32,28)s(48,40,20)-t(32,40,20)s(48,24,12)+*
t(24,48,28)t(24,32,28)+s(40,48,20)t(24,48,12)-*
c(24,16,12)s(40,32,20)+t(40,40,20)*s(32,40,12)+
c(32,32,20)s(16,24,12)c(40,24,12)+-s(32,24,20)-
c(24,32,12)s(40,40,12)s(32,32,28)s(16,24,20)*++
t(32,32,28)t(24,48,28)-t(32,56,12)c(32,32,12)+-
t(24,40,28)s(40,32,20)-s(40,40,28)t(40,24,20)*+
s(40,48,20)t(48,32,12)-s(16,8,12)s(40,40,20)+*
c(24,40,12)s(40,24,20)+s(24,24,20)s(24,32,20)*-
s(16,48,12)t(24,40,28)s(24,40,12)-+s(32,40,20)*
s(48,48,20)t(40,32,20)-s(16,24,12)+s(48,8,12)+
t(24,40,28)s(24,40,12)-s(40,16,12)+t(40,24,12)-
c(40,24,20)s(24,24,28)s(24,32,28)s(16,16,20)*-*
c(24,32,20)c(32,16,12)s(8,8,12)+-s(32,32,12)-
s(16,48,20)s(24,48,20)t(24,48,28)c(32,32,28)**-
s(24,32,12)s(40,16,12)t(48,56,12)+s(24,32,20)-+
c(32,32,28)c(24,40,20)c(32,32,20)s(24,32,28)*--
s(40,24,20)s(40,40,20)+t(24,24,20)+t(32,40,28)*
s(40,16,12)s(48,40,20)+s(40,48,20)*s(32,40,28)*
s(40,16,20)s(24,48,20)s(16,32,20)t(24,40,12)--+
s(40,24,28)s(24,16,20)t(24,24,12)--s(40,32,20)*
c(40,32,20)c(32,24,20)s(32,32,28)*s(24,40,20)*-
s(32,24,28)c(24,24,20)s(32,16,20)-t(40,56,12)+*
s(40,40,28)s(48,32,20)-c(32,32,12)-s(40,40,20)+
s(8,32,12)t(16,16,12)t(24,40,12)++s(24,16,20)-
s(24,32,28)s(32,48,12)s(24,16,20)+*s(16,16,12)+
s(32,48,20)s(24,40,20)t(24,24,20)s(48,40,20)+*-
s(16,48,20)c(32,32,28)s(16,16,20)-s(32,16,20)-*
s(16,32,12)s(24,16,20)s(32,32,12)-+s(16,48,20)-
s(40,16,20)s(32,16,20)*c(48,32,12)-s(24,24,12)-
t(32,32,28)s(40,40,20)*s(16,32,12)+t(24,48,20)-
s(16,16,12)t(40,16,12)c(16,32,12)++s(48,24,12)+
t(24,32,28)c(16,16,12)-s(32,24,28)s(24,32,12)--
t(24,40,20)s(40,32,28)s(16,32,20)-+c(32,32,12)-
c(40,24,20)s(40,32,28)*s(32,32,28)s(40,48,20)-*
t(24,48,28)c(32,32,28)*c(40,40,20)s(48,32,12)-+
s(40,24,20)c(48,16,12)s(40,40,28)+t(48,32,12)-+
c(24,40,20)s(32,24,20)s(32,40,20)-+c(24,32,20)-
t(48,32,12)s(24,16,20)c(48,32,12)+s(16,16,20)*+
s(32,24,20)c(40,40,12)s(48,24,20)s(40,16,20)*+*
t(32,32,28)s(48,24,12)c(32,32,20)+s(24,24,28)**
t(32,32,28)s(40,32,20)c(32,40,20)*s(40,8,12)+*
s(24,32,28)c(40,24,20)t(48,32,12)-*t(24,32,28)+
s(32,32,28)s(32,40,28)*c(32,24,20)t(40,24,12)-*
t(24,24,12)c(40,48,12)c(24,48,12)+t(32,48,12)-+
c(32,32,28)t(24,56,12)s(40,40,20)t(48,32,12)-+-
s(40,32,28)c(32,40,20)*s(24,40,28)*c(40,24,12)+
c(24,48,12)c(32,32,20)+c(24,24,20)+t(40,24,20)-
t(32,48,28)c(16,48,12)-s(24,32,28)s(8,24,12)-*
s(8,40,12)c(32,32,12)+t(32,40,28)*c(24,32,12)+
s(32,16,20)t(24,48,28)s(24,40,12)-c(40,24,20)-+
c(32,32,20)s(40,48,20)s(40,16,12)+*s(32,24,28)*
s(40,40,28)s(40,48,20)s(40,32,20)--t(32,40,12)-
s(40,40,28)s(40,24,28)t(32,16,12)-*c(40,40,12)-
c(24,40,20)c(40,40,20)s(32,32,28)*-s(16,24,12)-
s(32,40,20)c(16,24,12)t(32,16,12)t(32,32,20)++*
s(32,40,28)t(40,32,20)-t(40,56,12)-t(32,16,12)+
t(24,40,28)s(40,40,28)*c(48,40,12)+t(32,48,28)-
s(16,16,12)c(32,16,12)s(32,48,12)++s(48,40,20)-
s(24,8,12)s(40,48,20)c(24,40,20)*+s(40,40,28)*
c(40,40,20)s(48,32,12)c(40,40,12)+s(40,16,20)+*
t(40,40,20)s(32,24,20)+s(40,24,20)s(32,8,12)-*
s(40,16,20)s(40,24,28)c(32,24,20)*c(16,24,12)-*
s(48,16,20)t(16,32,12)+c(32,24,20)c(24,40,20)*-
t(40,32,20)t(24,40,28)s(24,24,28)*t(24,40,12)--
s(24,24,20)s(16,24,20)+s(24,32,20)s(32,16,12)-*
s(24,24,20)t(32,40,28)t(32,32,28)*t(24,48,28)+*
c(16,32,12)s(32,16,12)+s(16,32,12)c(24,24,12)+*
s(24,48,12)s(24,24,20)c(24,40,12)-+s(16,16,20)-
s(32,32,28)s(16,16,20)-t(24,32,20)-c(48,24,12)-
t(40,56,12)s(16,16,12)s(16,24,20)c(16,16,12)-++
s(32,32,20)s(16,24,20)s(32,32,12)--s(40,40,12)-
s(24,16,20)c(24,32,20)s(48,24,20)t(32,32,28)+--
c(32,24,20)s(16,8,12)+s(16,16,20)s(8,40,12)+-
s(40,40,28)s(24,32,20)s(40,40,12)--t(24,32,20)+
s(24,24,12)c(40,32,20)s(40,16,20)c(48,48,12)+*+
s(40,40,28)s(32,32,28)s(40,24,28)c(40,32,20)***
t(32,48,20)s(16,48,12)s(40,24,28)s(48,32,20)*+-
s(16,48,20)s(16,40,12)-s(8,48,12)-s(40,24,28)+
c(16,24,12)s(16,16,12)+c(40,16,12)+s(48,32,20)-
s(24,24,20)s(40,24,28)s(40,8,12)s(48,48,12)+-*
t(48,40,12)s(24,32,28)+t(40,32,20)-s(32,40,28)*
s(48,40,20)s(24,32,28)c(16,16,12)-c(32,24,12)-+
s(16,24,20)t(24,24,20)+s(40,16,20)+t(16,24,12)-
s(8,8,12)s(32,32,20)+c(40,48,12)-s(40,40,28)*
s(40,24,28)t(32,40,28)s(32,48,20)*s(32,16,20)+*
s(16,32,20)c(24,40,20)*s(24,24,28)s(40,32,20)*-
t(32,32,28)t(24,48,28)c(40,40,20)s(40,32,20)+*+
t(24,24,12)c(16,32,12)+c(32,32,28)s(24,48,20)*+
s(32,48,20)c(32,32,28)s(48,16,12)-s(32,24,12)-*
s(24,24,20)c(16,16,12)-s(16,24,20)c(32,16,12)+*
s(24,32,20)t(24,16,12)-c(40,40,12)-t(24,32,28)*
c(16,16,12)t(40,16,12)s(16,40,20)t(24,48,20)-++
s(32,48,12)s(24,40,20)t(32,32,20)s(32,48,12)+*+
s(40,24,20)s(40,40,20)c(24,40,20)+s(48,48,12)-*
c(40,24,20)c(32,32,20)s(16,48,12)s(40,48,20)+-*
t(24,40,28)s(40,48,12)s(40,32,12)+-s(24,32,20)*
t(24,40,20)s(24,24,28)s(16,32,20)t(24,32,20)--+
s(32,32,28)t(32,32,28)-s(40,24,28)+t(40,24,20)-
c(16,40,12)s(48,40,12)+c(16,24,12)-t(32,32,28)*
c(32,24,12)c(32,48,12)s(48,24,20)+c(40,24,20)-+
s(24,24,28)s(24,32,28)s(24,40,28)+*c(48,48,12)+
t(32,24,20)s(24,40,12)s(48,32,12)+s(40,32,20)*-
c(24,16,12)s(32,40,12)+s(24,16,12)s(40,32,20)+*
c(32,24,20)t(24,40,20)+t(32,40,12)-s(24,32,12)-
s(40,32,20)s(40,16,12)+s(32,16,20)*s(32,40,20)+
s(16,24,20)c(40,24,20)s(48,8,12)-s(32,32,20)+-
s(32,48,20)s(24,24,20)+t(24,40,28)s(16,48,20)*+
t(32,40,28)s(48,40,20)c(40,32,20)+c(32,40,20)-+
c(32,32,12)s(48,48,20)+c(16,48,12)+c(24,40,12)-
t(32,24,12)s(24,48,20)+c(24,40,20)s(24,16,12)+*
c(32,16,12)s(40,48,20)+s(48,16,20)c(24,32,20)+*
c(32,24,20)t(16,24,12)-s(40,32,28)*t(48,32,12)-
c(16,32,12)c(32,40,20)+s(40,8,12)+s(24,32,28)-
t(24,40,28)t(16,24,12)t(24,56,12)+t(32,40,28)+*
s(24,24,28)t(16,24,12)-t(24,40,12)-s(24,16,20)*
t(24,40,28)s(24,32,28)c(40,24,12)-s(40,32,28)**
c(16,48,12)s(40,24,20)+t(40,56,12)t(32,32,12)++
t(24,40,20)s(32,40,20)s(16,24,20)s(24,32,20)*+*
s(32,48,20)s(16,24,20)c(24,32,20)*+t(24,32,28)*
s(32,24,28)s(40,24,28)t(48,32,12)-*s(32,40,20)*
s(40,40,12)c(40,24,12)+c(40,48,12)t(32,16,12)++
c(32,32,20)c(32,24,20)+s(40,40,28)*s(40,32,20)*
t(24,48,28)t(40,48,12)t(32,48,20)+t(32,32,20)+*
c(40,40,20)s(32,32,28)s(24,40,20)s(24,8,12)+**
c(24,32,20)c(16,24,12)c(40,40,20)s(32,40,20)-+*
s(24,40,28)c(24,24,20)s(32,24,12)-c(40,24,20)-+
c(24,32,20)c(24,48,12)-c(40,40,20)-t(24,48,28)-
s(24,32,20)c(40,16,12)t(40,32,20)+s(48,24,12)-+
t(32,40,28)c(24,32,20)s(24,24,20)+c(40,16,12)--
c(40,32,12)s(40,16,20)+c(40,32,20)*s(48,24,20)*
s(16,48,20)s(32,32,28)t(32,40,28)+s(40,48,20)+*
s(32,40,20)s(40,40,20)s(32,16,20)-*t(32,48,28)*
t(24,32,28)c(24,32,20)c(24,24,20)**s(16,16,12)-
t(24,24,20)c(32,32,20)c(40,16,12)+*s(40,24,12)+
c(40,40,20)c(32,40,20)*s(48,16,20)t(48,16,12)--
c(24,16,12)t(24,32,20)s(16,16,12)-+t(32,32,28)*
s(32,40,28)s(40,40,28)s(48,40,12)t(32,24,20)+*-
c(24,48,12)c(16,16,12)+s(24,40,28)c(16,24,12)--
s(24,48,20)s(48,40,12)t(16,40,12)+-s(40,16,20)+
t(32,40,20)s(40,40,20)t(24,40,28)t(32,40,28)+**
s(16,40,20)s(40,40,28)+c(32,32,28)c(32,32,12)-+
t(40,48,20)t(40,56,12)-s(8,8,12)+c(24,24,12)+
t(32,32,20)s(32,8,12)+s(40,24,20)s(24,32,20)+*
s(32,24,28)s(48,40,12)-c(32,32,20)s(16,40,20)*-
c(24,40,20)s(48,24,20)s(32,16,12)-t(40,16,12)+-
s(24,40,28)s(32,24,28)c(24,40,12)-*c(48,48,12)+
s(48,40,20)c(48,24,12)s(16,16,20)++t(32,32,28)*
t(32,40,28)s(40,24,28)c(16,16,12)++s(16,40,20)-
s(16,24,20)s(32,24,20)c(32,24,20)s(40,32,28)**+
c(40,24,20)t(32,32,28)s(40,40,20)*s(48,24,12)+*
c(40,40,20)c(16,16,12)t(32,32,12)++c(24,40,20)*
s(16,48,20)t(48,56,12)s(32,40,20)t(32,32,28)*+-
s(24,16,20)c(40,24,20)t(48,16,12)s(24,40,12)+--
t(40,48,20)s(48,32,20)t(24,32,20)c(32,16,12)+-+
c(24,24,20)s(32,40,20)s(24,48,20)c(32,24,20)+**
t(40,40,20)s(32,24,12)+s(40,32,28)t(40,32,12)-*
c(32,32,28)t(24,48,28)c(40,24,12)+c(32,48,12)--
c(24,32,12)t(48,40,12)+s(32,24,28)*s(40,24,28)*
s(32,40,28)s(32,32,28)+s(32,24,28)s(32,24,20)--
t(32,48,12)c(32,24,20)+s(24,32,28)*c(32,16,12)-
t(32,16,12)c(40,48,12)+s(40,24,20)c(24,24,12)--
s(48,40,20)s(32,48,20)s(40,40,20)s(16,32,12)+*-
s(40,24,20)c(32,40,20)c(32,24,20)*c(40,40,20)+*
s(32,40,20)s(40,32,12)-c(32,16,12)+s(40,40,20)+
t(32,32,28)t(32,40,28)t(32,24,12)c(24,32,12)+*-
s(40,40,28)t(40,40,20)s(40,16,20)+c(40,48,12)-*
s(32,32,28)s(8,40,12)+t(48,16,12)t(16,40,12)+-
s(40,40,28)s(40,40,20)s(24,24,28)s(40,24,28)*--
c(40,24,20)s(24,16,20)-s(32,40,20)s(24,24,28)*+
c(24,32,12)c(40,32,12)+c(40,24,12)+t(40,24,12)-
s(32,48,20)s(8,8,12)+c(32,40,20)s(24,48,20)**
t(24,24,20)t(32,32,28)c(32,24,20)*+s(48,24,20)-
s(48,40,12)s(32,24,28)c(40,40,20)*t(40,32,20)*+
s(48,48,12)c(32,24,20)s(24,32,28)*t(32,48,28)-+
t(24,24,20)s(24,32,28)t(24,48,20)c(16,48,12)+*+
s(32,32,20)c(40,40,20)s(16,48,20)+*c(32,24,12)-
c(32,40,12)c(16,16,12)+t(24,40,28)s(32,24,12)--
s(40,32,28)s(24,24,20)s(32,32,28)*t(40,24,20)++
c(32,40,20)s(40,48,20)s(40,24,20)-s(24,40,12)--
t(24,48,28)s(40,24,28)-s(24,40,28)*t(24,48,12)-
s(32,32,28)s(24,40,28)*c(32,24,20)*t(40,32,12)-
c(40,40,20)s(48,40,20)+s(32,40,20)*c(24,32,20)*
c(24,32,20)t(40,40,20)-s(24,32,20)*s(32,48,20)-
s(32,40,20)c(48,48,12)s(32,24,20)c(24,32,20)*+*
s(48,16,20)c(32,32,28)t(32,48,28)s(32,16,20)++*
s(40,24,20)s(48,8,12)t(16,56,12)t(40,24,20)++*
c(32,40,20)s(24,24,28)s(32,24,28)s(24,16,12)-+-
s(32,48,20)c(40,48,12)-s(16,16,12)+s(32,32,20)+
s(40,24,28)s(48,16,20)-t(32,56,12)+s(24,16,20)-
t(24,48,28)s(40,40,20)-c(24,40,20)s(40,24,28)*-
s(24,16,12)s(32,40,28)+c(24,40,20)s(40,40,20)*-
s(48,24,20)s(40,24,20)s(48,16,12)-t(40,16,12)+*
s(24,40,28)s(8,40,12)-s(40,40,12)-t(24,32,12)-
s(16,24,20)s(32,24,20)+s(40,40,28)s(24,40,20)*-
s(48,48,20)t(40,32,20)-c(24,40,20)s(32,24,12)-+
c(40,32,20)t(24,48,20)-s(40,40,28)c(32,24,20)**
s(40,32,20)s(40,16,12)-s(32,32,28)*s(40,24,12)+
s(32,40,20)s(40,24,20)s(32,48,20)c(40,32,20)+*-
s(40,40,20)t(24,16,12)+c(24,40,12)-t(40,32,20)+
s(24,40,28)s(16,16,20)+c(32,32,20)s(24,32,12)--
s(24,32,28)t(24,40,20)t(48,48,12)+*s(48,40,20)+
c(40,32,12)s(40,16,20)c(32,32,20)s(24,32,20)+*+
s(24,24,20)c(32,32,12)s(16,48,12)+-s(24,32,20)+
s(40,24,28)s(48,32,20)s(40,40,12)-s(24,48,20)+*
c(40,32,20)t(16,40,12)+c(16,24,12)t(32,48,28)+-
c(40,40,20)s(32,40,20)s(24,40,28)c(24,40,12)-+*
s(48,24,20)c(24,24,12)s(40,48,20)+-s(40,8,12)-
c(32,40,20)s(16,16,12)+s(24,32,28)t(24,48,20)--
t(32,24,12)c(24,40,20)c(16,24,12)-c(32,32,20)*+
c(40,24,20)t(24,24,20)+s(40,40,12)-t(40,48,12)+
c(32,32,28)s(32,24,28)c(32,32,20)t(24,32,28)--*
s(40,40,28)c(16,16,12)s(40,24,28)t(24,40,28)-+-
t(32,32,28)c(24,32,20)*t(40,24,12)-s(16,32,20)*
t(24,48,28)t(48,16,12)+t(32,40,28)s(40,32,20)-*
c(24,32,12)t(32,48,28)+s(40,24,20)c(24,32,20)*-
c(32,32,20)s(32,16,20)c(24,24,20)c(40,24,20)--*
s(40,32,28)s(40,48,20)s(48,8,12)+-s(48,24,20)*
c(24,40,20)c(32,48,12)s(32,24,28)+*s(48,32,12)+
s(16,24,12)s(32,48,20)c(16,48,12)-s(24,40,28)*+
c(32,40,20)s(40,48,20)s(16,24,20)+*s(40,16,20)+
s(24,32,20)c(40,32,20)+c(48,24,12)-t(24,40,20)*
c(24,48,12)s(40,40,20)+t(40,48,20)*s(40,24,20)+
s(24,40,28)s(32,24,20)+s(32,48,12)c(32,24,20)+*
t(24,40,28)t(40,24,20)+c(24,24,12)-s(40,16,20)-
c(40,32,20)t(16,48,12)c(24,24,20)+*s(40,32,20)*
c(40,40,20)s(16,48,20)t(16,56,12)-c(24,24,20)+*
s(8,16,12)c(24,40,20)+s(32,32,28)t(16,24,12)-*
c(32,32,12)c(48,24,12)+c(32,40,20)c(40,32,20)**
s(16,16,20)t(24,32,28)s(32,16,20)-s(8,40,12)-+
s(24,40,20)t(32,16,12)+s(16,40,20)c(32,48,12)-*
s(32,32,20)c(24,32,20)+s(32,32,28)c(32,24,20)**
s(24,40,28)s(32,16,20)-t(16,32,12)-t(32,40,28)-
t(32,32,28)c(24,24,12)-s(32,32,20)s(40,32,12)--
c(32,24,20)t(24,32,28)t(24,40,28)*-s(40,32,28)*
s(24,40,20)s(32,16,20)s(24,24,20)*+s(32,40,20)*
t(24,32,28)s(40,40,28)c(24,16,12)+c(24,24,20)**
s(32,24,28)t(24,24,12)-c(24,16,12)-s(40,40,20)*
s(16,40,20)t(32,32,28)-s(8,32,12)+s(40,24,28)+
s(40,24,20)s(40,40,20)s(24,32,28)s(40,32,20)**+
t(24,40,28)s(32,40,20)+s(40,16,20)+s(24,32,28)-
s(24,24,20)s(48,48,12)s(16,16,12)+s(40,48,12)+-
c(40,24,20)c(32,32,12)-s(40,16,12)c(40,32,12)+*
c(48,48,12)t(24,48,12)t(32,48,12)++s(24,40,28)+
c(24,40,20)t(32,40,28)c(16,48,12)t(40,24,12)+-*
s(16,48,20)s(48,24,12)s(24,40,28)+s(32,24,20)-*
c(32,32,20)t(24,32,28)t(40,32,20)-s(40,40,28)-+
c(32,48,12)s(32,24,28)+s(24,24,28)s(24,24,12)-*
s(24,40,28)c(16,32,12)t(40,24,20)+s(16,48,20)+*
s(24,40,20)s(40,32,28)s(32,32,28)t(32,32,28)-+*
t(32,56,12)s(40,40,28)s(40,32,28)s(48,48,20)-*+
t(40,56,12)t(32,32,28)c(32,40,20)*+s(32,40,20)*
s(40,24,20)c(24,32,12)+s(40,16,20)t(32,40,28)-*
c(32,32,12)s(32,24,12)c(24,48,12)+c(40,48,12)-+
s(16,48,12)c(16,32,12)+c(24,48,12)+c(16,40,12)-
s(32,40,20)s(40,16,12)s(24,40,20)s(40,32,20)-++
c(24,40,20)s(24,24,28)*t(32,40,28)*c(16,24,12)-
s(16,24,20)t(24,32,28)c(16,16,12)s(48,24,12)+-+
c(32,32,20)s(32,40,28)t(24,48,20)s(40,48,12)+-*
c(32,40,20)t(40,56,12)c(24,40,20)+*t(24,48,12)-
c(32,40,20)s(40,24,20)s(32,16,20)*-t(32,16,12)+
s(24,40,20)s(32,48,20)t(16,48,12)s(40,24,12)++*
s(24,32,20)t(24,48,20)t(32,48,28)*-c(40,40,12)-
s(32,40,20)c(48,24,12)+c(24,40,20)+t(32,40,28)*
s(24,24,28)t(24,32,28)s(16,16,12)-*t(32,32,28)*
s(16,48,20)t(32,32,20)s(32,40,28)s(48,48,20)*+-
c(24,32,20)s(16,16,12)-t(32,24,12)-s(8,32,12)-
s(8,24,12)c(32,32,20)c(40,16,12)-+t(32,32,28)-
c(40,32,20)s(24,40,28)s(8,24,12)-*s(40,32,20)*
s(40,32,20)s(24,16,20)+s(32,48,20)c(40,24,20)-+
s(40,24,28)c(48,40,12)s(24,16,20)+-c(24,32,20)-
c(24,32,20)c(32,40,20)s(40,24,28)**s(40,32,12)+
c(48,16,12)t(40,16,12)+s(8,24,12)+s(40,16,12)-
s(40,32,28)c(32,24,12)t(24,48,20)s(40,24,28)-+*
s(32,32,20)t(24,40,12)-t(48,32,12)-s(16,40,20)-
t(24,24,20)s(40,40,28)s(16,48,12)t(24,40,20)+*-
c(32,40,20)s(32,32,28)s(24,8,12)c(32,32,20)+**
c(48,40,12)s(8,32,12)+s(40,40,20)s(32,48,20)-+
c(40,16,12)s(16,32,20)s(24,8,12)++c(32,32,28)*
t(32,24,20)s(24,24,12)+s(40,40,20)c(40,24,20)*-
s(32,48,20)t(24,56,12)-s(16,24,20)-c(24,24,20)-
c(24,24,20)c(32,32,20)*s(40,24,12)-t(32,32,28)*
s(40,40,28)s(40,32,28)t(32,16,12)-*s(48,24,20)*
s(32,24,20)t(24,40,20)t(32,32,28)*-c(32,32,20)*
s(32,32,28)t(32,24,12)-c(40,24,12)c(40,40,12)+-
c(16,16,12)s(24,32,28)t(32,40,28)*s(32,16,12)-+
s(24,40,28)s(48,24,20)+c(32,32,20)*s(24,48,12)+
s(16,32,12)s(8,48,12)+s(40,24,28)+c(24,24,20)-
s(40,16,20)t(40,40,20)c(40,32,12)++s(48,40,20)-
t(40,32,20)t(24,32,28)+c(40,32,20)*c(24,32,12)-
s(32,24,28)c(40,32,20)+s(24,16,20)c(40,24,12)+*
s(32,24,20)s(24,48,20)s(16,32,20)s(32,48,12)++-
t(24,40,28)t(24,32,28)t(32,48,28)*c(16,24,12)+*
s(40,32,28)s(48,40,20)-s(32,40,20)+t(32,40,28)*
c(40,32,20)s(32,32,28)*s(24,32,20)-t(16,56,12)+
s(32,40,28)s(16,32,12)-t(32,40,12)s(8,24,12)+-
t(32,40,28)s(32,40,12)-t(24,48,28)+c(16,32,12)-
s(32,32,20)s(32,40,28)s(16,24,20)t(32,24,20)+**
s(24,32,28)s(24,16,20)-s(40,48,20)t(32,48,28)*+
s(32,40,28)s(32,32,28)c(40,32,20)+t(40,40,20)-*
s(32,24,20)c(32,16,12)-c(32,32,20)c(40,32,12)-+
t(32,48,28)s(24,24,28)c(40,40,12)-+s(16,48,20)*
c(32,24,20)t(40,24,12)-s(40,40,28)*t(48,32,12)+
c(32,48,12)t(32,32,20)+s(32,32,28)s(16,48,12)-*
s(40,32,20)s(24,48,20)c(24,40,20)*+s(48,24,20)*
s(40,24,28)c(40,48,12)t(24,24,12)+-s(24,32,12)-
s(32,16,20)s(40,48,20)+s(32,40,12)s(40,16,20)+*
s(24,24,20)t(24,48,28)t(40,48,12)t(24,48,12)+--
c(32,40,20)t(32,16,12)+s(32,48,12)-t(40,40,12)-
s(40,40,28)s(16,48,20)c(32,32,20)c(40,40,12)-+-
s(24,32,12)s(8,40,12)+c(24,48,12)+c(48,48,12)+
s(24,24,20)c(40,24,20)s(24,24,20)*c(40,48,12)+*
t(24,40,28)c(16,40,12)-t(24,32,20)s(24,40,20)+*
t(16,16,12)t(24,40,28)+t(24,16,12)c(16,16,12)+-
t(32,48,28)s(48,40,20)+s(40,32,28)c(48,24,12)-*
c(16,40,12)s(40,40,20)t(24,48,12)++c(40,24,20)+
s(32,40,28)c(40,40,20)s(40,24,28)s(8,24,12)++*
s(40,16,20)t(24,24,20)s(24,16,20)*c(40,32,20)+*
t(24,32,28)s(32,24,28)s(48,16,20)+*s(40,48,20)-
s(16,32,12)t(32,32,28)s(32,24,20)-+s(32,24,28)+
c(24,40,20)t(32,32,20)s(48,40,12)c(24,40,20)+*-
s(24,24,20)s(40,24,28)+c(16,16,12)-s(24,24,12)-
t(24,32,20)s(32,32,20)c(24,32,20)s(32,40,28)***
s(32,32,20)s(40,24,28)s(24,8,12)-s(24,48,20)-*
c(32,32,20)s(48,24,12)-t(32,24,12)-s(32,24,28)*
c(32,40,20)s(24,40,28)*c(48,48,12)-s(16,16,20)-
t(16,48,12)s(40,40,20)c(32,24,12)-+t(24,48,28)-
t(32,24,20)s(32,32,28)s(48,24,20)*s(24,32,12)+*
s(8,8,12)s(32,16,12)+c(48,40,12)+s(48,40,20)+
s(8,8,12)t(32,48,20)s(40,32,20)++s(24,24,28)*
s(48,32,20)s(32,24,20)t(40,40,12)++c(32,32,20)*
c(48,48,12)s(32,16,20)+s(24,24,12)-s(32,24,28)*
t(24,32,12)s(40,32,20)+s(32,32,20)*t(24,40,28)*
s(16,16,20)s(32,32,12)s(16,32,12)+s(24,40,20)*-
s(48,24,12)c(24,40,20)c(16,40,12)-s(40,32,28)*+
s(40,32,20)c(32,24,20)s(24,40,20)s(40,40,12)--*
s(16,32,12)s(32,8,12)s(24,48,20)+t(32,48,12)-+
t(40,48,20)s(24,24,28)c(32,32,28)c(32,32,20)---
c(40,40,20)c(32,32,20)t(48,32,12)--t(48,48,12)-
s(48,24,20)t(48,48,12)t(32,16,12)+s(16,32,20)+-
t(24,48,12)c(24,40,20)s(40,40,20)-c(40,32,20)-+
s(48,24,20)s(24,40,28)c(32,40,20)*c(16,40,12)++
t(32,48,20)s(48,8,12)+t(40,24,20)s(8,40,12)+-
t(32,48,28)s(32,24,28)t(32,32,28)*-s(32,32,28)-
s(32,32,20)s(32,40,28)t(24,48,12)-c(40,32,12)--
s(40,48,20)t(24,48,12)-t(40,40,12)-t(32,56,12)-
c(40,32,20)t(24,24,20)-s(32,40,28)t(32,32,28)**
s(24,32,28)s(32,48,20)-s(32,32,20)s(32,24,20)*-
s(48,16,12)c(16,48,12)t(40,32,12)++s(32,40,20)+
s(40,40,28)s(48,16,12)+s(40,32,28)c(32,40,12)--
c(40,40,20)s(48,24,12)s(40,40,12)+s(32,32,28)**
t(24,56,12)s(32,16,20)+s(24,40,20)-c(16,24,12)-
s(48,16,20)s(16,32,20)+s(24,32,20)*s(32,32,28)*
s(48,16,20)s(48,40,20)+s(40,32,28)*t(32,32,20)+
c(32,48,12)s(24,40,20)c(40,32,20)s(40,48,20)--+
s(32,48,12)c(32,40,20)c(32,24,12)-s(32,24,28)-+
t(24,40,28)s(16,40,12)-s(24,16,12)+s(32,40,28)*
s(32,24,28)c(40,24,20)+s(40,16,12)-s(24,40,20)*
c(40,40,20)c(24,40,20)s(40,48,12)-*t(32,40,12)+
c(32,40,20)c(24,48,12)s(24,24,20)+s(32,40,20)-+
t(32,48,20)t(32,40,28)+s(40,32,28)*s(40,40,20)*
t(16,40,12)s(32,32,20)c(40,40,12)-t(24,40,12)-+
t(40,32,20)t(32,32,28)t(24,48,28)*-s(8,16,12)+
s(40,24,12)t(32,56,12)+t(24,32,28)s(24,16,20)*+
s(24,24,20)s(40,16,12)-s(16,24,20)+c(16,16,12)-
t(24,40,12)s(24,48,12)+c(16,48,12)+t(24,56,12)+
s(32,40,28)s(16,48,12)t(40,40,20)+*s(32,40,20)*
c(40,24,20)s(48,16,12)s(32,40,28)s(24,32,28)-+*
c(24,40,12)c(40,24,20)t(48,48,12)+c(40,32,20)*+
s(16,24,20)c(48,40,12)+c(32,40,20)t(32,16,12)+*
s(40,16,20)c(32,32,28)*t(24,40,20)+s(40,16,20)*
c(32,40,20)s(16,32,20)+s(8,24,12)s(40,32,28)++
c(24,24,20)c(24,40,20)*t(32,32,20)t(32,40,12)-+
t(24,16,12)s(16,48,20)s(40,24,28)-+s(16,32,20)-
s(32,40,20)s(32,24,28)t(40,16,12)-s(32,24,20)+*
s(40,32,28)s(32,24,28)s(24,16,20)-+s(32,48,20)-
s(32,40,20)t(32,48,28)*c(40,16,12)t(40,32,20)+-
c(32,40,20)s(40,24,28)s(24,32,20)t(32,32,28)*+*
t(24,48,28)s(24,32,28)t(32,40,20)-t(16,16,12)--
c(32,24,20)s(32,40,12)s(48,16,12)+-c(24,24,20)*
t(32,40,28)c(32,24,20)c(40,40,12)-t(40,40,20)++
t(24,40,28)t(32,24,20)+s(24,48,20)t(32,48,28)*-
c(32,32,20)t(32,56,12)s(40,32,28)+*c(32,40,20)*
s(40,24,28)t(32,32,28)*t(16,48,12)s(32,16,20)+*
s(40,32,28)s(48,40,20)s(48,48,20)*t(32,24,12)+*
s(40,40,20)s(8,40,12)c(24,24,20)c(32,24,20)*+-
s(40,32,28)s(16,16,12)+s(48,48,20)t(16,40,12)+-
t(32,32,28)t(32,32,12)s(48,48,12)++s(48,32,20)+
t(32,32,28)c(32,16,12)c(48,48,12)+s(16,40,12)+*
c(32,24,12)c(48,32,12)+s(40,24,12)-t(32,16,12)-
s(32,32,28)s(32,48,20)t(24,48,20)*-c(48,40,12)-
s(48,40,12)s(32,32,12)t(24,48,12)++t(32,48,28)*
c(24,32,12)t(24,32,20)t(40,40,20)-t(16,40,12)++
s(24,24,28)s(24,40,20)*s(16,40,20)*s(8,8,12)+
t(16,16,12)s(40,16,20)+s(16,16,20)s(40,24,28)-+
s(40,40,20)t(40,48,12)-s(8,32,12)s(24,32,12)+-
s(24,40,28)t(32,48,28)+c(32,32,28)*t(24,48,20)-
s(32,40,20)t(32,16,12)+c(24,48,12)-c(24,40,20)*
c(32,32,20)c(24,32,12)s(48,16,12)+s(16,16,20)--
c(40,32,20)s(32,32,28)c(32,32,20)c(32,40,20)*--
c(48,32,12)t(24,40,28)c(40,40,20)*+s(16,40,20)+
c(32,24,20)s(16,48,20)-c(24,24,20)*s(40,40,12)+
c(32,24,20)c(32,32,28)t(32,40,20)-*c(48,24,12)-
s(16,40,20)s(24,40,20)c(24,24,20)*-c(16,48,12)+
s(32,24,20)s(32,40,20)c(48,40,12)+*s(48,40,12)+
t(32,48,28)t(32,40,28)s(24,40,28)t(40,32,20)-**
s(24,40,28)s(24,32,12)-t(40,32,12)-s(16,16,20)-
c(32,24,20)s(16,16,20)c(24,24,12)+s(24,32,28)**
c(32,24,20)s(8,32,12)t(40,24,20)+-s(48,48,12)+
s(24,32,28)s(40,24,12)t(24,24,12)+-s(24,24,20)*
c(32,32,12)c(32,48,12)t(40,56,12)++t(32,32,20)-
t(32,40,28)c(24,40,20)*t(40,48,12)s(40,8,12)+-
s(24,32,20)c(32,40,20)*c(40,32,20)+s(16,32,20)-
s(24,48,20)s(32,32,20)t(24,48,28)c(32,32,12)--+
s(48,40,20)s(40,24,28)*s(24,32,28)s(16,24,12)-+
s(16,24,12)t(16,40,12)+c(32,32,20)t(24,32,20)-+
s(16,32,20)c(24,32,20)*t(24,48,28)c(16,32,12)--
s(16,40,20)s(32,32,28)+c(32,24,20)*s(40,16,20)-
c(32,32,20)t(24,32,20)s(24,24,20)*-s(8,24,12)+
c(24,32,20)t(32,48,28)c(32,32,28)*s(24,48,20)+*
c(24,24,20)c(32,32,12)-s(48,24,12)+c(40,32,20)*
t(32,56,12)s(40,24,20)s(40,32,20)+c(40,24,20)*+
s(32,32,28)c(32,40,20)t(40,40,12)-*s(40,24,20)+
s(16,16,12)s(24,40,20)s(24,8,12)+s(16,8,12)-+
s(48,32,12)c(40,24,12)+s(24,24,28)+t(40,40,20)+
s(16,32,20)t(32,48,28)s(40,24,20)-t(24,40,28)*-
s(40,24,28)s(32,40,12)c(24,32,20)s(16,32,20)*+*
s(32,16,12)s(40,32,20)s(48,8,12)+t(32,40,12)-+
c(32,32,28)c(32,32,20)t(32,32,28)+t(24,32,28)--
t(48,16,12)t(32,40,28)+s(32,48,12)-t(32,32,20)*
c(40,40,20)t(48,56,12)c(16,32,12)+c(24,16,12)+-
s(48,32,20)t(24,32,12)+s(8,40,12)+c(40,16,12)-
s(40,24,20)s(24,32,20)t(48,48,12)++s(24,8,12)+
s(40,40,28)s(32,24,12)s(48,40,20)+*c(48,40,12)-
s(16,40,20)s(16,40,12)s(48,24,20)+s(40,24,28)*+
s(24,32,28)s(16,48,20)c(24,40,20)*c(40,24,12)+*
t(24,56,12)t(24,40,20)s(48,32,12)+s(40,24,28)*+
t(32,48,28)t(32,32,28)*c(16,32,12)+s(16,40,20)*
s(40,48,20)c(24,40,20)s(40,40,20)*c(40,24,20)+*
t(32,32,20)t(32,48,28)t(24,32,20)++s(24,24,20)*
c(24,24,20)s(24,32,20)s(40,16,12)+s(32,40,20)-*
s(24,40,20)s(24,24,28)+s(8,24,12)-s(48,32,20)+
s(32,24,12)s(32,40,20)+t(32,40,28)c(48,48,12)-*
t(24,48,28)s(32,32,28)c(32,40,12)c(32,24,20)+**
t(24,32,20)s(40,24,20)s(24,24,12)s(40,40,20)+*+
c(40,40,20)s(32,32,12)-c(16,16,12)s(48,24,12)++
t(32,32,20)s(16,24,20)s(24,24,20)*s(40,40,20)+*
t(32,40,12)c(24,24,20)s(24,32,20)*c(24,40,20)*+
c(40,24,12)c(24,24,20)t(40,32,12)-t(32,32,28)*+
s(24,16,12)s(24,32,20)+t(24,40,20)-c(40,40,20)-
s(24,32,12)s(40,40,20)s(32,32,20)c(40,16,12)-*+
s(24,24,28)s(32,24,28)c(32,40,20)-*s(40,16,12)-
s(40,24,28)s(48,24,20)-c(32,32,12)+c(32,40,12)-
s(48,48,20)c(24,16,12)+s(24,32,20)-s(48,48,12)-
s(32,24,20)t(40,56,12)+c(32,32,28)s(48,32,12)-*
s(16,32,20)t(24,32,28)s(32,32,28)**t(40,24,12)+
c(32,32,28)t(24,48,20)-c(24,40,20)*c(32,16,12)+
c(32,40,12)s(32,16,20)+s(16,32,20)-s(32,48,20)+
c(40,40,12)t(16,32,12)+s(24,32,20)s(32,40,28)*+
s(40,24,28)c(24,24,12)-s(24,8,12)s(24,40,28)+*
s(48,8,12)s(24,40,12)t(48,32,12)+t(32,24,20)-+
t(16,24,12)s(48,48,12)+s(24,32,20)c(16,16,12)--
s(48,32,20)c(32,32,28)c(32,24,12)-*t(40,48,12)-
s(48,16,20)s(16,40,20)+s(40,24,20)*s(32,24,28)*
s(40,24,20)c(32,40,12)-t(48,24,12)s(16,16,20)+-
s(32,24,28)s(24,40,20)*s(32,40,28)c(40,40,20)*+
s(48,40,20)t(40,40,12)-t(24,40,28)c(48,16,12)+-
s(32,24,28)s(16,48,12)t(40,24,20)s(32,24,20)*+-
c(24,40,20)c(32,32,28)s(24,16,12)-t(32,40,28)-+
t(32,32,28)t(32,24,12)-t(48,48,12)+t(48,40,12)-
s(40,40,20)c(16,16,12)c(48,40,12)+c(40,40,20)*-
s(32,32,20)s(8,40,12)+s(16,48,20)s(32,32,12)+*
t(24,40,20)s(32,40,20)s(40,24,12)-t(24,32,20)+*
s(8,48,12)s(32,32,20)s(40,24,20)*+c(40,40,12)-
s(48,16,20)c(32,32,20)t(32,32,28)t(32,24,20)---
s(16,32,20)s(32,32,28)c(16,16,12)s(8,16,12)+-*
c(32,32,20)s(48,24,12)-s(40,40,20)+s(48,48,20)*
t(32,32,12)s(40,24,28)c(24,16,12)t(32,48,28)+-+
s(24,32,28)s(48,24,20)c(48,40,12)-+s(24,24,28)*
s(48,24,20)s(8,16,12)s(32,32,20)+s(24,32,20)*-
c(24,32,20)t(48,48,12)s(48,8,12)+c(32,24,20)+*
c(40,32,20)c(48,40,12)-s(32,32,28)s(40,40,28)**
c(40,40,20)t(32,32,28)+s(8,16,12)s(40,16,20)+*
s(24,48,20)s(24,8,12)s(48,16,20)++s(32,32,28)*
c(32,24,20)s(40,40,20)*s(32,16,20)s(32,32,20)*+
s(32,32,20)s(48,40,20)+s(32,24,28)c(16,16,12)-+
s(40,32,28)c(40,16,12)-s(40,24,28)c(24,24,20)-*
s(24,24,20)t(32,48,28)+t(24,40,28)*c(24,40,12)-
s(40,32,20)s(24,48,12)+s(32,32,20)+s(32,24,28)*
s(32,32,20)c(24,40,20)*s(32,40,28)t(40,32,20)*+
s(16,40,12)s(40,8,12)+s(24,24,20)+s(16,32,20)-
s(40,40,20)t(24,40,28)c(40,32,12)--c(32,40,20)*
t(32,40,28)s(16,40,20)t(32,40,20)--t(48,40,12)-
t(32,48,28)s(32,24,20)s(32,32,20)t(40,16,12)-*-
t(24,32,28)s(32,16,20)s(40,48,20)c(32,32,28)*+*
s(16,32,12)t(32,40,12)+c(16,48,12)+s(32,40,20)+
s(16,16,20)t(40,32,12)+s(8,8,12)-s(32,16,12)-
s(24,40,28)s(24,24,28)c(32,32,20)*s(32,40,20)*-
s(40,32,28)c(24,40,12)t(24,24,20)+t(24,32,12)-*
c(24,32,20)t(24,24,20)s(24,16,20)c(24,24,20)**-
s(48,32,20)s(32,32,28)c(40,32,20)*s(24,24,20)-*
t(40,16,12)t(24,40,28)s(32,16,20)-+s(32,48,20)-
c(32,32,28)t(24,48,20)-s(48,24,20)-t(24,24,12)-
t(32,48,28)s(40,40,20)s(32,48,20)+*s(24,24,28)+
t(24,40,28)s(48,8,12)c(16,24,12)+-s(32,40,12)-
s(40,32,20)c(24,24,20)+s(32,24,28)*c(40,40,20)*
s(16,8,12)c(40,48,12)+s(40,24,28)t(24,56,12)+-
c(40,24,12)s(8,16,12)+c(24,40,20)+s(32,24,20)*
s(16,24,20)s(24,24,28)t(40,40,20)-*s(48,16,12)+
t(24,32,20)t(40,48,20)s(24,16,20)s(40,16,20)*+-
t(32,56,12)s(40,40,28)s(32,32,20)s(48,16,20)-*+
c(24,24,12)s(16,48,20)+c(24,40,20)c(32,40,12)-*
c(16,48,12)s(32,8,12)s(32,40,12)++t(48,32,12)+
s(48,32,20)c(40,24,20)t(48,56,12)+*t(32,40,12)+
c(32,16,12)s(8,32,12)+c(48,24,12)+c(32,32,20)*
s(16,40,20)s(48,40,12)+s(16,32,20)*s(16,48,12)-
s(48,16,20)s(16,48,20)s(40,24,28)-s(32,16,20)+-
c(24,24,20)s(40,40,28)c(32,24,20)+t(32,24,20)-*
t(48,56,12)s(24,48,20)s(40,16,20)++t(32,32,20)*
c(32,32,28)t(32,32,28)-c(24,24,20)c(32,24,12)--
t(32,40,28)s(16,40,20)+c(40,24,20)t(32,40,28)+*
s(40,24,20)t(40,40,20)-s(24,40,20)c(40,32,12)-+
c(24,40,20)s(40,32,20)s(24,32,20)t(24,16,12)+*-
s(24,40,28)s(40,40,20)-t(16,32,12)-s(24,48,12)-
c(32,40,20)c(40,32,20)c(32,48,12)+s(32,48,12)--
s(24,32,20)c(24,16,12)+s(24,24,28)s(40,32,28)--
c(40,24,20)t(32,48,20)c(24,24,20)-s(40,16,20)+*
c(48,40,12)t(32,48,20)t(24,32,20)-+s(40,48,20)*
s(32,40,20)t(24,56,12)+s(40,48,20)+s(48,40,20)-
s(48,40,20)t(24,32,20)s(32,40,12)+s(40,40,28)*-
s(40,24,20)s(32,40,28)*c(40,16,12)+c(24,32,20)-
s(32,40,20)s(24,24,28)c(40,32,20)*s(32,40,28)**
s(48,40,20)c(40,32,20)s(48,32,20)+*t(32,48,20)+
c(24,24,12)c(40,40,20)s(40,32,20)t(24,32,28)**+
c(32,40,20)s(40,16,20)-t(32,24,20)-c(40,24,20)+
t(48,56,12)s(24,32,28)s(32,40,20)*+s(24,32,20)*
s(24,16,20)t(32,40,28)t(48,40,12)+-s(24,8,12)-
s(40,24,20)c(24,32,20)s(24,24,28)s(32,16,20)*--
c(32,40,20)s(40,24,20)s(8,24,12)++c(40,40,20)*
s(32,24,28)t(40,32,12)-c(48,32,12)-s(32,16,12)-
s(16,48,12)s(32,32,20)+t(32,40,12)-s(24,40,12)+
c(32,40,20)s(40,48,12)-c(32,16,12)-s(40,32,12)+
t(32,40,28)s(32,24,12)-c(40,40,20)*t(32,48,28)*
s(24,24,28)s(32,24,12)-c(24,16,12)+t(24,40,28)-
t(48,24,12)s(32,40,20)c(24,48,12)-+c(32,32,20)+
s(32,32,20)s(16,48,20)s(24,40,20)-+c(24,24,20)*
s(24,32,28)t(24,32,28)-s(24,32,28)t(32,24,20)-*
c(40,32,20)s(8,32,12)s(48,16,20)+s(24,24,28)-+
c(40,24,20)c(24,16,12)+s(32,40,20)*s(40,48,12)+
s(40,16,20)s(16,40,20)s(32,24,12)+c(40,32,20)+*
s(24,40,20)s(16,40,20)+s(40,32,20)c(16,32,12)+*
s(24,48,12)c(40,32,20)s(32,32,20)s(24,16,20)+*+
s(48,32,20)s(40,40,20)t(24,56,12)+t(24,40,20)+*
t(32,40,28)c(32,40,20)c(48,48,12)s(40,32,20)+*-
s(48,24,20)t(24,48,28)c(32,24,20)s(40,48,12)+-+
c(32,16,12)s(24,48,12)+s(24,40,12)+t(32,48,28)-
s(40,24,20)t(32,40,20)-s(32,32,28)*c(48,40,12)-
c(32,24,20)c(24,32,12)-t(32,32,20)c(40,40,20)*-
s(16,32,20)c(32,32,28)*s(32,8,12)s(32,32,28)+*
c(32,32,20)s(32,40,28)s(24,16,20)-*s(40,24,28)*
c(32,40,12)t(40,56,12)+t(40,32,20)+c(32,32,12)-
s(40,40,28)s(48,40,20)-t(32,56,12)-t(48,48,12)+
s(48,24,20)c(40,16,12)s(32,32,20)t(32,40,20)-++
t(40,24,12)t(40,48,20)+c(40,16,12)+t(16,32,12)+
s(40,32,28)s(32,32,28)*s(32,48,12)-c(16,32,12)+
t(40,24,12)t(32,48,28)c(16,48,12)c(32,32,20)+-+
s(8,32,12)s(40,40,20)s(16,32,20)+s(40,32,20)*+
s(16,32,12)s(24,32,20)s(24,40,20)c(40,24,20)--+
c(24,32,20)c(40,32,12)s(24,32,12)s(32,40,12)++-
c(24,40,20)s(48,48,12)+s(32,32,20)*s(24,24,12)-
s(24,24,28)t(24,40,28)s(24,32,28)*+c(40,40,12)-
s(32,40,20)s(40,32,28)s(32,32,20)-s(40,48,20)+*
s(24,8,12)s(24,24,12)+s(32,40,20)+t(24,32,20)-
s(32,32,12)s(32,16,20)+s(40,40,20)c(48,48,12)+-
c(32,32,20)c(48,40,12)+t(32,40,28)-s(24,24,12)+
s(16,16,20)t(40,48,12)s(16,16,20)s(40,40,28)-+*
c(32,32,28)s(40,48,20)-s(32,48,20)-s(40,16,12)-
s(40,40,28)t(40,24,12)c(32,32,20)s(32,24,20)-+*
t(48,56,12)s(32,40,12)t(24,40,20)++t(32,32,28)*
s(8,48,12)s(24,40,20)+c(24,24,20)*t(40,32,12)-
c(40,40,20)s(16,48,12)c(48,16,12)c(40,16,12)+++
c(32,24,20)s(48,24,20)s(40,48,20)+c(24,40,20)--
t(32,48,28)s(24,40,28)+s(48,48,20)c(24,24,12)+*
s(32,40,12)c(16,48,12)+s(24,32,28)s(40,32,28)+*
s(24,24,28)t(48,56,12)s(16,32,20)+t(40,56,12)+*
t(24,40,28)s(40,32,20)+t(24,48,20)t(16,32,12)+-
s(32,32,28)s(24,40,28)c(16,16,12)+t(32,48,28)+*
s(32,40,20)c(16,24,12)+t(40,24,20)-t(24,48,28)*
s(24,24,28)t(32,32,20)t(40,40,20)+-c(32,24,20)+
c(32,16,12)s(24,40,28)+c(40,40,20)t(24,40,28)*-
s(16,32,20)s(16,24,20)s(32,32,12)t(40,48,20)++*
t(32,48,28)s(48,24,12)+c(40,48,12)-s(48,16,12)-
c(16,40,12)c(32,24,20)c(32,40,20)*c(40,40,20)*+
s(40,24,28)t(32,32,28)*s(40,40,28)c(24,24,12)+*
s(32,40,20)s(48,48,12)-t(24,24,12)-s(8,24,12)+
s(16,40,20)s(16,48,20)*c(32,24,20)s(32,32,28)*-
s(24,24,20)s(24,32,20)t(32,48,20)-s(16,24,20)*-
t(24,24,20)c(24,32,20)s(8,24,12)-s(32,24,20)**
s(24,24,28)c(32,32,20)c(24,16,12)-c(24,32,20)**
s(24,24,28)t(24,24,20)c(40,16,12)+-s(32,24,28)*
s(24,24,20)s(48,40,12)c(24,16,12)+s(32,32,12)+*
t(24,32,28)s(48,32,20)-s(24,32,20)*s(32,32,20)*
s(32,32,20)c(32,24,20)s(32,24,20)s(8,40,12)+**
s(16,32,20)t(32,48,28)c(32,32,28)*s(8,8,12)+-
s(40,24,28)t(32,32,28)*t(40,32,20)s(16,32,12)+*
c(40,32,12)t(32,56,12)s(32,16,20)+t(32,32,28)-+
s(40,24,12)s(40,48,12)s(48,40,20)t(32,40,28)*++
c(32,24,12)t(32,48,28)+s(32,32,12)-t(24,48,28)*
s(8,24,12)s(24,48,20)s(24,16,12)++t(32,48,28)-
t(16,32,12)s(40,40,28)s(16,48,20)s(48,16,20)+*+
t(24,40,28)s(40,24,20)t(24,32,28)t(32,48,20)-+-
s(24,32,12)c(40,24,20)s(40,24,28)s(32,32,20)**+
s(40,32,28)s(40,40,20)c(24,24,12)s(48,24,20)+-*
s(40,24,20)s(24,16,12)-s(32,32,20)t(16,32,12)-+
s(40,16,20)s(32,40,28)t(48,40,12)c(40,24,12)+*-
t(32,48,20)s(16,16,12)t(40,40,12)+s(48,16,20)+-
s(32,16,20)c(32,32,20)s(24,40,28)+*s(32,40,20)+
s(48,24,20)t(32,40,28)-c(32,32,20)s(32,24,28)*-
c(32,32,20)s(32,40,20)s(16,48,12)-*s(24,24,28)*
t(32,32,20)c(32,24,20)s(16,32,12)-c(40,24,20)**
c(32,32,20)c(16,24,12)s(40,48,20)+s(48,48,12)-+
s(40,40,28)c(32,32,28)s(24,24,20)-*s(40,32,20)*
c(40,40,20)s(32,16,20)s(24,40,28)s(16,32,20)*--
s(40,40,20)c(40,32,12)s(40,40,28)c(24,32,20)*+*
c(16,40,12)c(32,32,20)+s(40,32,28)t(24,32,28)*-
s(40,32,28)t(24,48,28)t(32,48,28)*-c(24,16,12)+
s(48,16,20)s(40,40,20)s(24,40,28)*+t(32,32,20)-
s(32,16,20)s(40,32,28)s(16,40,20)++s(16,24,20)*
s(32,24,20)s(40,24,28)s(40,32,28)**t(32,48,28)+
c(32,32,28)c(32,16,12)-t(32,48,28)*t(32,40,28)+
t(24,40,28)s(8,48,12)-s(32,32,20)+s(24,24,20)*
t(24,32,20)c(40,32,20)s(32,48,12)-c(40,24,20)*+
s(48,32,20)s(40,32,28)c(24,32,12)-s(48,40,20)**
t(24,32,28)s(40,32,12)+s(40,24,12)-s(48,32,20)-
s(40,8,12)s(24,32,28)t(24,32,12)-s(48,24,20)-+
s(32,32,28)c(32,40,20)s(32,16,20)-+t(32,32,12)-
s(32,40,12)c(24,24,12)+c(16,16,12)c(24,40,12)+*
t(32,40,28)t(40,48,12)-s(24,32,28)*t(24,40,12)-
s(32,40,20)s(32,32,20)t(40,16,12)-*t(40,32,12)-
s(16,24,20)c(32,24,20)c(40,48,12)t(32,24,20)+*-
t(24,40,20)s(24,48,20)t(32,40,20)+*c(48,40,12)+
s(8,40,12)s(40,40,28)s(24,32,20)*+s(16,48,20)*
c(40,24,20)s(24,40,12)+s(32,32,28)+s(40,40,20)*
s(32,24,28)s(32,48,20)+t(32,48,28)*t(24,32,28)-
c(24,24,20)t(40,24,20)s(32,48,12)+s(24,40,20)+*
c(40,32,20)s(40,40,20)t(32,40,12)-t(32,48,12)+-
t(32,48,28)t(32,40,28)s(24,40,28)**s(32,24,12)-
s(24,40,28)s(16,16,20)t(24,40,12)+*t(40,24,20)-
c(40,40,20)s(24,32,12)c(16,40,12)+-s(24,24,20)-
s(32,16,20)s(32,40,20)s(40,40,20)*-t(40,32,12)+
c(32,40,20)s(8,24,12)s(40,48,12)+-t(40,24,20)-
s(24,40,12)t(48,32,12)c(32,48,12)++s(16,40,12)-
s(24,24,20)s(48,24,20)+s(32,16,20)*s(40,16,20)+
s(32,40,28)s(8,8,12)+s(8,40,12)+c(40,24,12)-
s(16,16,20)c(48,40,12)+t(16,16,12)-t(32,24,20)+
s(32,48,20)c(32,32,20)t(24,40,28)s(24,40,20)**-
c(40,16,12)t(32,56,12)c(40,24,12)s(16,16,12)+++
t(32,48,28)s(24,24,20)-t(24,40,12)t(40,16,12)+-
s(48,24,20)t(40,48,20)s(40,32,20)+t(24,40,28)-+
t(24,40,28)s(8,48,12)s(48,16,12)+c(48,48,12)+-
c(24,24,20)s(48,32,20)s(32,40,20)-+s(16,16,20)*
c(24,32,20)c(48,16,12)+c(40,24,20)c(24,32,12)--
c(24,24,20)t(48,56,12)+s(16,24,12)c(32,48,12)++
s(40,40,28)s(32,32,20)+t(40,56,12)s(16,32,20)+*
c(40,40,12)s(24,24,12)+c(24,40,12)+s(16,48,12)-
c(48,40,12)s(32,32,28)s(16,48,12)s(32,40,20)+*+
s(16,16,20)s(40,32,28)t(32,16,12)c(24,24,12)+-+
s(40,32,28)c(48,32,12)c(24,40,20)s(32,24,12)++*
c(32,32,20)c(40,40,20)*s(16,40,20)t(24,40,28)*-
s(24,16,12)c(32,32,20)s(24,32,20)t(48,48,12)+-+
s(40,40,28)s(40,24,20)+t(32,40,12)-s(16,32,20)-
s(48,48,12)s(24,32,20)c(40,40,20)-+c(24,32,20)*
s(32,24,20)s(48,32,20)s(32,16,12)+s(32,8,12)+*
t(24,24,20)t(48,56,12)+c(40,40,12)c(32,40,12)+-
c(32,32,20)s(40,40,12)c(24,40,20)s(16,32,20)-+*
t(24,40,28)t(16,40,12)-t(24,48,28)+t(32,40,28)*
t(32,40,28)s(24,48,12)-c(40,24,12)+s(48,32,12)-
s(32,32,20)s(48,32,20)t(24,16,12)+t(32,40,12)+*
c(16,16,12)t(40,48,20)c(32,32,20)++c(16,40,12)-
s(16,16,20)s(24,40,28)+s(8,40,12)-c(40,24,12)+
s(32,24,28)s(32,48,20)-s(32,24,20)*s(32,32,20)*
c(40,40,12)s(16,24,12)+c(24,40,12)s(40,48,20)+*
s(32,32,28)t(24,24,12)t(24,48,28)c(40,32,20)-+*
s(16,24,20)s(32,32,12)+c(32,24,12)-c(40,24,12)+
s(32,16,20)c(40,24,20)c(48,40,12)t(24,16,12)+-*
s(24,24,28)s(24,32,28)*s(32,24,12)s(40,16,12)+-
c(48,16,12)c(40,40,20)c(40,24,20)*+s(32,40,28)*
c(48,32,12)s(32,40,20)c(16,16,12)+s(24,16,12)-+
c(32,32,20)s(16,8,12)+c(40,32,20)s(40,40,20)--
s(40,40,28)c(24,32,12)t(32,48,12)+-s(40,24,28)*
s(24,24,28)s(48,32,20)c(32,16,12)--c(24,32,20)-
s(40,24,28)s(32,24,28)t(32,24,20)--s(32,32,28)*
s(24,24,20)t(24,24,12)-s(40,32,12)-t(32,32,12)-
c(32,24,20)c(24,24,20)*s(24,24,20)*s(32,24,20)*
c(32,32,20)c(24,24,20)*c(16,24,12)t(32,24,12)++
c(32,32,28)t(48,48,12)s(8,8,12)s(40,24,20)++*
s(24,40,28)s(24,24,12)-t(32,32,20)s(24,40,28)*-
c(48,40,12)t(24,40,28)t(16,48,12)-+s(32,40,28)*
c(24,16,12)t(16,32,12)s(8,48,12)++s(24,8,12)-
t(32,32,28)s(40,40,20)t(16,16,12)t(32,48,12)+-*
s(40,16,12)t(40,48,20)+c(32,16,12)-t(40,24,12)+
s(24,40,20)s(48,48,20)-c(16,24,12)-t(24,32,12)+
c(24,40,20)t(24,40,20)-c(32,32,12)c(24,40,12)++
c(40,32,20)s(32,32,28)+s(40,24,20)*s(16,16,12)+
s(16,40,12)c(32,32,20)c(16,40,12)-+c(40,32,20)+
c(16,40,12)s(16,24,20)t(24,40,28)-+c(24,32,20)*
c(32,32,20)c(40,32,20)*s(24,40,20)s(40,32,20)--
s(40,32,28)c(40,16,12)-t(40,48,12)-s(24,16,20)-
c(24,40,20)c(16,40,12)-s(24,32,28)+s(16,24,12)-
t(48,48,12)t(24,48,28)+c(40,16,12)+s(40,16,12)-
c(32,32,28)s(32,24,28)s(16,16,20)s(16,40,12)+*-
c(16,24,12)t(32,48,20)+s(32,24,28)t(40,48,20)++
t(40,32,20)c(16,32,12)+c(32,24,20)t(32,24,20)--
c(24,40,20)c(24,24,20)s(24,24,12)-+c(32,16,12)-
s(40,40,28)c(32,48,12)-t(48,32,12)c(48,48,12)+*
t(24,48,12)t(40,32,20)c(32,32,20)s(16,48,20)-*+
s(40,24,28)t(24,48,20)c(24,24,12)+-s(48,40,20)*
s(16,16,20)s(16,16,20)t(16,40,12)+c(24,16,12)-*
s(16,24,12)s(48,48,12)+s(32,24,28)+c(24,16,12)-
s(32,16,12)t(40,32,20)c(24,24,12)-+s(16,24,12)+
s(40,32,28)s(24,24,28)s(24,40,20)+s(40,40,12)-*
s(32,40,12)s(24,8,12)+s(40,40,20)t(32,32,20)--
s(16,32,12)s(40,40,20)t(24,16,12)+c(32,32,12)-+
t(40,56,12)c(24,40,20)s(24,32,20)-+s(32,24,12)+
c(40,24,20)t(48,32,12)-c(32,24,20)t(32,40,28)*-
c(32,32,12)c(32,24,12)c(16,32,12)++s(32,16,20)+
s(24,24,28)s(24,40,20)t(32,48,28)*+s(40,40,28)*
c(40,40,20)s(24,24,28)-t(16,16,12)+c(48,24,12)+
t(32,32,20)c(24,16,12)+s(40,40,28)*s(16,16,20)-
c(40,32,20)s(24,32,28)s(40,32,28)**c(24,24,20)*
t(48,48,12)t(32,56,12)+t(40,24,12)+c(24,32,20)-
s(16,32,12)t(24,24,12)c(40,16,12)++c(40,24,20)*
s(24,24,28)c(16,24,12)-c(24,32,20)c(24,40,12)-*
c(32,32,20)s(16,32,20)+s(24,40,28)*s(16,40,20)*
c(40,24,20)s(40,24,28)s(24,32,20)**s(24,48,12)+
t(32,48,28)s(40,48,20)s(48,48,20)*+s(24,40,20)-
c(32,24,20)s(40,48,20)s(32,32,28)*-t(24,40,28)-
s(16,24,20)s(24,24,20)t(48,40,12)+t(24,32,20)*-
s(24,16,20)c(32,32,12)-c(32,32,20)t(24,40,20)-+
s(40,32,20)s(48,32,20)s(40,32,28)t(24,40,20)-*+
c(16,24,12)s(48,32,20)+c(32,24,12)-c(32,32,28)*
c(32,32,20)c(32,40,12)-s(40,32,12)+s(24,40,28)*
s(24,24,20)s(16,16,20)t(24,48,20)++s(32,24,12)-
s(32,32,12)s(24,48,20)+s(40,40,20)*c(16,24,12)+
s(40,24,20)s(48,32,20)s(40,24,28)s(24,24,20)-+*
c(40,24,20)c(24,32,20)*c(24,48,12)s(48,48,12)++
s(24,24,20)s(40,32,12)-s(24,32,20)s(48,32,20)-*
s(40,16,12)s(32,24,12)t(48,56,12)++t(24,40,12)+
s(16,32,20)s(40,40,28)c(32,32,20)s(24,32,20)**+
s(40,40,28)t(32,32,28)+c(32,24,20)s(16,16,20)--
s(32,16,12)t(24,24,20)+t(32,48,28)t(40,48,20)*+
s(24,32,28)s(32,24,28)t(32,32,28)t(24,32,28)**-
s(40,40,20)t(32,32,28)c(24,40,20)+*s(24,32,28)*
t(16,56,12)s(32,40,20)+t(32,40,28)*s(32,32,12)-
s(8,16,12)s(24,8,12)+s(32,32,28)c(24,40,20)--
s(24,24,28)t(32,40,28)-t(40,40,12)+c(48,40,12)+
s(24,40,20)t(24,32,12)-s(48,40,20)+c(48,32,12)-
s(32,24,28)s(24,24,20)c(40,32,12)-*s(32,48,12)+
t(32,40,28)s(32,40,28)t(40,48,12)-t(40,48,20)-*
s(24,24,28)t(48,56,12)c(16,16,12)+*t(16,32,12)+
s(40,40,28)t(24,40,28)*t(40,56,12)-c(16,32,12)+
t(32,48,28)c(40,40,12)+s(40,32,28)-t(16,48,12)+
c(32,32,12)s(16,40,20)+c(24,40,20)*s(16,48,12)-
s(40,40,28)c(32,40,20)t(40,40,12)--c(48,32,12)-
s(8,8,12)c(24,32,20)t(32,32,28)s(16,48,20)-*+
s(24,40,28)s(40,40,28)-s(16,40,20)*t(48,56,12)+
s(40,24,28)c(24,32,20)+s(24,24,20)s(16,40,20)-*
t(40,32,20)t(24,56,12)+s(40,24,20)c(48,40,12)+*
s(32,32,28)c(24,48,12)-s(32,16,20)+s(24,24,20)*
s(48,24,20)s(40,8,12)-c(40,32,20)*s(24,32,20)-
t(24,40,28)s(24,16,20)+s(16,24,20)s(40,32,12)+*
s(48,48,12)c(32,32,28)t(40,56,12)c(32,16,12)+*+
s(32,24,28)s(40,32,28)s(24,40,28)*-t(48,24,12)-
s(48,32,20)t(32,32,28)s(40,40,28)*s(16,16,20)+-
c(24,24,20)t(32,48,20)+s(48,40,20)t(32,32,20)+*
s(24,16,20)c(24,40,20)+c(32,32,28)*s(16,40,20)-
t(32,48,28)s(16,16,12)+s(24,32,28)*c(24,24,12)-
c(24,40,20)s(40,48,12)-t(16,24,12)s(16,32,12)+-
t(24,24,20)c(32,24,20)t(16,40,12)c(40,40,12)+-*
s(16,32,12)t(32,24,20)s(24,8,12)c(24,24,12)+++
s(32,24,20)s(32,24,28)c(40,24,20)s(32,40,20)*-*
s(24,16,20)s(8,8,12)s(32,24,28)+t(40,24,12)-*
c(32,32,28)t(32,32,28)-t(32,48,20)-c(48,32,12)-
s(40,40,28)t(48,32,12)-s(32,24,28)+s(48,40,12)-
t(24,40,28)s(16,48,20)s(40,32,20)++c(24,24,20)*
c(32,40,20)t(40,48,12)t(48,40,12)+-s(32,32,12)-
s(40,24,20)s(16,8,12)s(32,32,28)c(24,32,20)*+-
s(16,16,20)c(32,48,12)s(16,32,20)+-s(24,24,20)+
t(32,40,28)s(40,40,28)*t(32,48,12)-s(32,40,20)*
s(40,32,20)t(32,32,28)*c(40,24,12)-c(48,16,12)+
s(8,40,12)s(8,16,12)t(40,24,12)s(16,40,12)+++
s(32,24,28)s(24,32,12)-s(24,48,12)+s(40,24,28)-
s(32,16,20)s(32,40,20)-s(32,24,20)s(24,32,20)*-
s(32,8,12)c(32,32,20)t(24,24,20)++t(24,32,28)-
s(32,40,28)c(24,40,20)-c(32,24,20)c(40,40,20)*+
t(32,48,28)s(32,24,28)t(32,40,28)-+t(24,48,20)*
t(48,32,12)s(32,16,20)+c(24,40,20)+s(32,40,28)-
c(16,32,12)s(40,24,20)+s(32,48,20)s(24,16,12)+-
s(32,40,20)t(48,32,12)+s(40,24,20)+s(24,40,20)*
s(48,24,20)s(32,40,28)s(32,24,28)*s(24,48,20)+-
t(40,48,12)s(16,24,20)+s(16,48,20)s(32,8,12)+-
c(24,40,20)t(32,32,28)*t(32,48,28)t(24,40,28)*+
s(40,16,20)s(40,24,28)s(24,16,20)-s(48,16,20)**
s(24,48,20)s(24,32,20)s(32,16,20)s(32,32,28)*--
t(32,24,20)c(24,40,20)+c(24,40,12)-t(32,24,12)-
t(48,32,12)c(32,40,12)s(16,16,12)+t(40,40,20)-+
s(48,40,20)s(8,16,12)+s(48,24,20)c(32,40,20)--
c(32,32,20)t(24,32,28)s(48,48,20)-t(24,16,12)-*
s(48,32,12)t(24,48,20)t(24,32,28)+s(32,40,12)-+
s(32,24,28)c(40,24,20)c(24,24,20)s(32,40,28)**-
s(16,40,20)t(32,32,28)+c(32,32,12)s(8,48,12)+-
c(24,32,20)c(24,24,12)-s(32,32,20)c(32,24,20)*+
c(48,48,12)s(24,32,28)s(32,40,12)-s(8,48,12)-+
c(16,48,12)s(16,16,20)s(32,48,20)+s(32,24,20)-+
s(32,16,20)t(32,48,28)s(16,16,20)+t(40,48,20)*+
t(40,32,20)t(16,24,12)t(32,24,12)+-t(40,16,12)-
t(40,32,20)s(32,48,20)s(24,32,28)*s(40,40,20)++
c(24,24,20)t(32,32,20)*s(8,16,12)+t(32,32,20)*
c(32,24,20)s(48,32,12)+s(16,40,12)c(40,32,20)+*
c(24,24,20)s(32,16,12)s(16,40,20)++t(24,48,28)+
c(40,32,12)s(32,8,12)+s(24,40,20)s(48,16,20)+*
s(24,24,20)c(32,32,20)t(32,32,28)*t(24,32,28)*-
t(32,32,28)s(40,16,20)t(40,48,20)c(32,32,12)-+*
s(24,40,28)t(24,32,12)-s(16,32,20)c(24,32,20)**
t(32,48,28)s(24,32,28)+t(32,32,12)-c(32,32,28)*
t(24,32,28)t(32,48,12)s(40,40,12)t(16,40,12)++*
c(40,24,20)c(40,32,20)t(40,48,20)-*s(48,32,12)-
s(48,32,20)t(32,32,12)-t(24,48,20)+t(24,40,28)*
s(32,40,28)c(40,40,20)s(40,40,20)c(40,40,12)---
t(32,48,28)s(32,32,20)s(32,48,12)s(16,8,12)++-
c(40,24,20)s(40,32,28)c(24,32,12)-t(48,24,12)-*
t(32,48,20)s(32,48,20)s(24,40,28)s(24,24,20)-**
s(40,24,28)c(24,32,20)t(40,24,12)-s(32,24,28)*-
c(24,32,20)t(24,16,12)-s(24,48,20)+s(32,40,20)*
c(24,32,20)c(32,16,12)s(40,32,20)c(32,24,20)*+-
c(40,32,12)s(16,40,12)+s(24,32,12)-s(8,40,12)+
s(40,8,12)s(40,40,12)s(16,48,20)+s(24,32,20)-+
s(40,32,28)c(32,40,20)c(40,40,20)**s(24,40,20)*
t(24,40,28)s(48,24,20)s(40,24,20)*+c(24,24,20)*
s(32,24,20)s(24,48,20)+s(24,24,20)*c(32,32,20)*
s(32,40,20)s(40,40,28)s(32,40,20)c(40,24,20)---
s(48,40,20)c(32,24,20)+t(24,32,28)*c(40,32,12)-
t(40,48,20)s(40,24,28)s(32,24,28)s(48,16,20)-+-
c(32,24,20)c(32,40,20)c(32,32,20)s(32,16,12)-*-
s(24,40,20)s(40,32,20)s(32,48,20)+*s(16,16,12)+
s(32,24,20)s(24,32,28)*s(24,32,28)c(40,24,20)**
c(32,40,20)s(48,48,12)-t(40,48,20)-s(16,24,12)-
c(40,40,20)t(48,48,12)-t(24,48,28)s(16,16,12)++
s(40,40,20)s(40,40,28)s(24,24,12)-s(32,24,28)*-
s(24,32,20)t(48,56,12)s(48,16,20)t(32,40,20)++*
c(40,32,20)t(32,32,28)s(32,16,12)s(32,48,20)+**
t(24,48,28)c(24,24,20)t(40,24,20)--t(24,56,12)-
s(32,32,28)s(40,24,28)s(24,32,20)*-s(24,16,12)-
s(24,24,20)t(24,32,28)s(8,48,12)-*t(40,32,20)-
s(24,24,28)c(16,48,12)s(48,16,20)+*s(24,16,20)+
c(32,32,20)s(16,16,20)t(24,48,20)+*c(40,32,20)+
c(24,40,20)s(24,48,12)-c(40,32,12)-c(16,16,12)+
t(24,40,28)s(16,24,12)+s(40,48,12)c(24,40,20)+*
s(16,40,20)c(40,32,20)s(40,16,20)*+s(24,24,28)*
c(40,40,20)s(48,48,20)+s(40,48,20)t(40,24,20)+*
s(24,32,28)s(24,40,28)*c(40,40,12)+t(24,32,28)*
s(40,48,12)s(24,24,28)s(8,40,12)-+s(16,16,20)*
s(40,40,28)c(24,40,20)*c(40,40,12)s(16,24,12)+-
t(40,32,12)c(24,16,12)t(32,56,12)+c(40,24,20)-+
t(32,32,28)t(32,40,20)s(40,16,20)s(24,24,28)*--
s(24,16,20)t(24,24,20)+t(24,32,28)t(32,48,20)--
c(48,32,12)s(24,32,20)c(24,40,20)*+s(24,48,20)*
s(40,48,20)t(48,24,12)+t(48,40,12)-s(40,24,20)-
s(16,32,20)s(32,24,28)c(48,40,12)s(16,24,20)++*
s(24,24,12)c(24,40,20)s(32,40,28)+s(40,24,20)*+
t(32,48,28)c(40,48,12)-s(24,48,20)*c(16,24,12)+
s(24,16,20)s(48,40,12)+t(24,24,20)c(48,16,12)+-
c(40,32,20)t(32,40,28)s(40,48,12)s(8,8,12)+-*
c(40,24,20)t(40,32,20)-s(32,48,20)+s(40,32,20)*
s(40,40,12)s(16,40,20)s(16,48,20)*+s(24,40,20)+
s(40,48,20)t(32,40,28)*s(24,40,20)c(32,32,20)+*
t(24,40,28)c(32,40,20)*c(40,40,20)*s(32,48,20)*
s(24,8,12)s(40,32,28)t(48,40,12)-+t(40,24,20)-
t(32,48,12)c(32,24,12)+s(16,24,20)s(48,16,12)++
s(32,24,28)s(48,16,12)t(24,24,20)+-t(24,40,28)-
c(40,24,20)s(32,40,28)*s(16,40,20)+s(40,24,20)+
s(40,32,28)t(40,40,12)s(16,40,12)++t(24,40,12)-
s(48,24,20)c(24,32,12)s(24,32,28)t(32,48,28)*++
s(16,8,12)s(32,48,12)t(24,32,20)s(40,48,12)+++
t(32,32,20)s(16,16,20)c(32,32,28)+c(24,48,12)-*
c(24,32,20)s(32,40,28)t(32,48,12)-*s(40,48,20)-
s(32,24,20)c(32,32,12)s(32,24,20)t(32,40,28)*+*
s(16,48,20)c(32,40,20)+c(24,32,20)s(16,32,12)-*
s(24,32,28)t(32,56,12)t(24,48,20)s(16,48,12)++*
s(32,40,28)s(40,24,28)-s(24,40,28)s(8,32,12)-*
s(48,40,12)c(32,32,20)+c(40,24,12)-c(40,48,12)+
t(32,48,28)s(48,40,20)t(48,48,12)t(40,40,20)+*-
t(32,56,12)s(8,32,12)c(40,16,12)++c(40,16,12)-
s(16,24,20)s(24,24,28)s(16,8,12)c(24,40,20)+**
s(32,24,20)t(40,40,12)+s(32,32,12)-c(24,32,20)+
t(40,56,12)s(48,32,12)+t(32,48,28)s(32,40,20)*+
c(16,40,12)t(48,48,12)+s(16,40,12)t(40,48,12)+*
s(32,16,12)c(32,40,12)t(48,40,12)++t(32,32,20)*
s(32,32,28)s(24,32,28)*c(32,24,20)*t(24,24,20)*
t(24,40,20)s(32,16,20)+t(40,40,20)-t(32,24,20)*
s(32,40,28)s(24,40,28)*s(24,24,20)*s(32,32,20)*
s(8,40,12)t(40,24,12)t(16,40,12)++t(24,32,20)+
c(48,40,12)t(24,48,28)c(32,40,20)s(48,40,20)-*+
s(32,16,12)t(48,32,12)+s(48,40,20)t(32,40,12)-+
t(32,32,28)s(32,48,20)+t(40,40,12)s(24,48,20)+*
t(32,40,20)t(24,24,12)+t(24,48,28)c(40,40,20)*+
c(48,24,12)s(48,8,12)+s(24,40,28)-s(32,24,20)+
s(24,24,28)s(32,32,28)t(32,40,28)c(24,40,20)**-
c(40,32,20)c(32,32,20)t(32,40,28)s(32,24,12)-*-
t(40,40,12)s(40,48,12)+s(24,24,28)+t(32,32,28)*
t(32,24,20)s(40,32,20)c(48,48,12)-t(48,24,12)-+
s(24,40,28)s(16,24,20)-s(24,24,28)-t(40,40,20)+
s(40,32,20)t(32,32,20)+s(24,32,28)*c(32,40,20)*
s(32,24,28)t(32,32,20)s(24,40,28)*-c(32,16,12)-
c(40,24,20)s(40,24,20)s(48,48,20)+*s(16,24,20)-
s(32,32,20)t(16,40,12)-s(32,16,20)c(32,24,20)**
s(16,16,20)s(32,48,12)s(48,48,20)+c(24,40,20)+-
s(24,40,20)c(40,48,12)-s(32,24,28)*c(32,48,12)+
c(24,16,12)c(48,48,12)+s(24,48,20)c(32,24,20)+-
s(40,24,28)t(48,24,12)s(32,40,20)c(48,32,12)-+*
t(32,40,28)s(32,24,28)+c(32,16,12)-t(40,40,20)-
s(40,48,20)c(32,40,20)s(16,24,20)-*c(24,40,12)-
c(40,32,20)t(16,48,12)+s(32,40,20)s(40,32,20)+*
t(32,32,20)c(48,32,12)s(32,48,12)+s(24,48,20)--
s(16,24,20)c(40,16,12)s(24,48,20)+-s(16,8,12)-
t(40,48,20)s(24,48,20)+s(48,40,20)t(40,24,20)--
t(24,48,28)c(40,32,20)s(24,24,28)s(24,32,28)+*+
s(24,40,28)s(40,48,12)s(24,40,12)+c(40,40,20)**
s(24,32,28)s(24,16,20)-c(32,48,12)-t(32,24,20)-
c(32,40,20)s(24,24,12)+t(24,48,28)c(16,40,12)-*
s(24,40,28)s(32,32,20)*s(24,24,28)*t(32,32,20)*
s(16,32,20)t(32,32,12)t(16,32,12)+-s(24,48,20)-
s(40,40,28)c(24,24,12)-s(40,8,12)+s(24,48,12)-
t(32,48,28)s(32,16,20)s(32,40,20)c(32,24,20)*+-
s(24,16,12)c(24,40,12)c(40,24,12)++s(24,48,12)-
c(32,32,20)s(32,24,20)s(32,40,28)c(40,32,20)*--
s(32,32,28)c(40,24,12)-s(32,40,20)t(40,48,12)--
t(24,16,12)s(24,32,28)s(32,24,28)t(24,32,12)--+
c(24,40,20)t(40,24,20)s(16,32,20)+-t(24,48,28)*
t(24,40,28)s(40,40,20)-s(40,40,28)s(32,32,20)++
t(32,32,28)t(24,48,28)-t(16,24,12)+s(40,48,20)-
s(32,40,28)s(48,24,20)s(40,40,28)++s(32,48,20)-
t(32,32,28)s(48,40,20)s(32,24,20)++c(32,32,12)-
c(40,40,20)s(48,48,20)s(16,40,12)+s(24,24,28)+*
s(48,32,20)t(24,56,12)+s(24,40,28)s(32,48,20)*-
t(32,32,28)s(24,24,28)s(40,8,12)-+s(16,24,20)-
t(24,48,28)s(40,32,20)t(24,32,12)++s(40,48,20)*
s(40,32,20)s(40,24,20)s(48,32,20)+c(40,48,12)-*
c(24,32,20)c(40,24,20)t(48,16,12)-s(32,32,20)**
t(32,32,12)s(24,48,20)s(40,24,28)-+t(40,40,20)+
s(16,32,12)t(24,32,28)c(40,24,20)*+s(24,24,20)+
s(40,32,28)s(40,40,28)*s(16,48,20)s(24,40,28)+-
s(24,32,20)s(40,24,20)c(32,32,12)+s(24,24,28)**
s(40,40,28)s(48,32,20)-s(40,32,20)t(40,24,12)--
c(24,24,20)s(24,32,28)s(40,32,28)**t(24,32,12)-
s(40,32,20)t(48,32,12)s(24,40,28)+c(32,24,20)**
t(24,40,20)t(40,48,20)t(32,40,28)*s(48,48,12)+-
t(24,16,12)t(32,32,28)t(32,32,12)-s(48,48,12)-+
t(32,32,28)t(32,40,28)c(16,32,12)-*s(16,16,12)+
c(32,24,20)s(40,24,12)s(8,32,12)+-s(24,24,12)-
s(48,40,20)s(32,40,28)t(24,56,12)s(8,8,12)+++
t(32,32,20)s(32,40,28)t(40,48,20)t(32,48,28)*-*
c(32,32,20)c(48,40,12)t(32,48,20)+*s(40,48,20)*
s(16,48,20)t(48,40,12)c(24,48,12)+t(48,48,12)+-
c(24,40,20)t(40,48,12)s(32,32,12)+s(16,24,20)+-
s(16,24,20)s(48,24,12)c(24,40,12)+c(32,40,20)*-
c(24,24,20)s(32,32,20)s(24,32,20)+t(48,40,12)++
s(32,24,28)s(24,16,20)*t(48,32,12)+s(24,24,28)+
s(32,40,20)s(32,40,20)c(40,24,20)--c(24,48,12)+
s(32,24,20)c(32,24,20)c(32,32,12)-t(40,24,20)--
s(40,24,28)s(24,16,20)s(24,40,28)--t(24,32,28)*
t(32,32,28)t(24,32,28)s(16,16,12)s(40,16,20)+--
s(40,32,28)c(24,40,20)s(24,40,20)t(24,24,20)+*-
c(32,40,20)t(24,32,20)s(24,48,20)s(32,40,12)-+*
s(40,24,20)c(48,24,12)s(40,32,28)t(24,40,28)*+*
t(16,48,12)s(40,48,20)+c(40,32,20)*s(24,40,20)+
s(24,32,12)s(32,32,28)s(48,32,20)*t(32,48,20)++
s(32,24,28)s(48,32,20)s(16,40,20)s(32,32,12)-+*
s(24,32,28)s(48,32,12)c(32,32,20)s(40,40,12)-+-
s(16,16,12)t(32,32,28)s(32,48,12)++t(32,40,20)*
c(24,24,20)s(24,40,28)*c(40,24,12)-t(16,48,12)+
s(40,32,28)c(48,16,12)-c(40,40,20)*s(40,32,20)*
s(48,40,20)s(48,40,20)s(48,32,20)c(32,40,12)-*-
s(16,48,20)t(16,56,12)-s(32,24,20)s(40,16,20)*+
s(48,48,20)s(24,32,20)s(40,40,12)-c(48,48,12)+*
c(32,40,20)c(48,40,12)c(24,24,20)+t(32,32,28)**
c(40,40,20)s(24,32,20)+s(48,24,20)s(32,40,28)+*
c(32,32,28)c(40,24,12)-s(8,32,12)-t(32,48,28)-
t(32,48,28)s(24,24,28)s(32,24,28)c(24,40,20)-*+
t(24,32,28)c(32,32,20)*c(40,32,12)-s(32,40,20)+
t(24,48,20)c(24,48,12)t(32,32,28)+s(24,40,28)**
s(48,48,20)s(32,40,20)-c(24,40,12)+s(40,32,28)-
t(32,32,28)t(40,16,12)s(16,24,12)+c(48,24,12)-+
c(40,32,20)s(24,32,12)-s(16,8,12)s(32,40,20)+*
s(16,32,12)s(32,32,12)+s(32,32,28)c(40,24,12)-+
s(16,40,20)c(24,32,20)*s(16,40,20)s(32,40,28)**
s(32,24,28)s(24,24,12)-c(24,32,20)c(16,32,12)-+
s(24,40,28)t(32,32,12)-s(32,16,20)s(48,48,12)+-
s(32,32,28)c(24,40,12)s(32,48,12)+-s(24,24,20)-
c(24,40,20)s(32,40,20)*s(32,32,28)t(24,40,20)-+
c(48,24,12)s(24,16,20)s(24,24,28)s(16,40,20)*-+
s(24,16,20)s(40,48,20)c(32,32,20)*+t(32,40,28)*
s(40,16,20)c(24,24,20)s(24,16,12)-s(16,16,20)+*
c(24,40,20)c(48,32,12)t(32,48,28)+s(24,48,20)**
s(40,24,28)s(32,48,20)s(32,40,20)+t(32,24,20)+-
s(40,24,20)c(40,32,20)c(24,24,20)-s(32,32,20)+*
c(32,24,20)s(32,32,20)s(16,32,12)-c(48,40,12)-*
s(24,32,28)c(32,24,20)t(48,24,12)-t(40,32,12)-*
s(48,16,20)s(40,32,20)+s(32,16,20)*c(32,16,12)+
c(32,40,12)s(16,48,12)+c(40,32,20)s(40,40,12)--
s(32,32,12)s(32,16,20)t(32,24,20)*+c(32,40,12)+
s(32,24,28)s(40,32,28)s(24,24,20)c(24,40,12)+-*
s(16,32,20)s(16,16,20)c(32,24,20)+s(32,32,28)*-
s(32,32,28)s(48,48,12)s(40,40,12)+-s(24,32,28)*
c(24,32,20)s(8,16,12)c(32,24,20)+*t(24,32,20)*
c(24,24,20)s(40,48,12)+t(40,48,12)-c(40,40,20)*
c(48,24,12)s(24,32,28)+s(40,32,28)*c(32,24,20)*
s(24,48,20)s(40,24,28)+c(48,40,12)-s(40,32,20)*
s(32,16,20)c(16,40,12)c(40,24,20)+s(48,32,20)-+
s(32,40,20)t(32,48,12)-c(40,32,20)t(24,48,12)+*
c(40,40,20)s(24,48,20)-c(24,32,20)-t(48,32,12)-
c(24,40,20)c(32,40,20)*s(32,40,28)t(24,48,28)**
t(24,32,12)t(40,16,12)+c(32,40,20)t(24,48,20)-+
t(32,48,20)s(16,40,20)s(40,16,20)+s(40,32,28)*-
c(40,32,20)s(48,32,20)*s(40,40,12)c(48,24,12)++
s(24,24,20)s(48,32,12)+s(40,32,28)s(24,40,28)--
s(24,40,20)s(32,40,20)*t(24,48,28)s(16,40,20)--
t(24,40,28)c(40,24,12)+s(40,32,28)*s(32,48,20)*
t(24,48,20)c(40,32,20)+t(32,48,20)-c(24,40,20)-
s(24,24,20)s(24,40,20)t(24,24,12)c(48,24,12)++*
s(16,16,12)c(24,24,20)t(32,40,28)*+c(40,32,20)*
t(24,48,28)s(24,32,20)t(32,40,20)+s(48,48,20)--
c(32,16,12)t(32,48,28)c(32,32,20)t(32,32,28)**+
c(32,40,20)t(40,56,12)-t(48,48,12)c(40,32,12)+*
c(32,24,20)s(24,32,20)t(40,32,20)+s(48,16,20)+*
t(32,32,28)c(40,48,12)-c(24,40,20)s(48,24,20)+*
t(24,32,12)t(40,32,20)+s(24,24,28)s(40,8,12)-*
s(24,48,20)t(32,32,28)-t(16,32,12)c(16,48,12)++
s(40,32,28)t(48,24,12)t(24,40,12)+-t(32,48,28)+
t(24,56,12)c(32,24,20)s(40,16,20)+t(24,16,12)-+
t(24,48,12)t(32,32,28)+s(24,32,20)*s(48,48,20)+
c(40,24,20)t(24,32,28)*c(40,32,20)*s(24,8,12)+
c(48,32,12)t(40,48,20)s(24,32,20)s(32,16,12)--+
c(24,48,12)s(32,32,28)s(32,40,28)*+s(24,24,12)-
s(32,40,20)c(40,40,20)s(48,40,20)**t(24,32,28)+
s(32,24,28)t(24,32,28)*c(32,32,20)*s(16,40,20)+
s(40,32,28)s(48,24,12)-s(48,40,12)c(24,48,12)+-
s(24,32,12)s(48,16,20)+s(32,24,20)*c(40,32,20)*
s(32,24,28)s(16,8,12)-s(16,16,20)c(32,48,12)+*
s(32,16,20)s(48,24,20)+s(40,24,12)-s(48,24,20)-
s(24,40,20)t(40,48,12)s(32,48,20)c(24,40,20)*+*
t(32,32,28)s(24,32,28)*c(32,40,20)t(32,48,28)--
s(32,24,28)s(24,32,20)c(32,32,12)-c(32,24,20)+*
t(48,32,12)s(48,8,12)+s(40,16,12)-s(8,48,12)+
c(40,24,20)t(32,24,20)s(32,32,28)t(48,24,12)-**
s(32,24,28)s(32,8,12)c(16,32,12)+s(40,32,12)+*
c(32,32,28)s(24,48,20)s(8,48,12)+*s(16,40,12)-
s(24,32,20)s(8,24,12)t(32,56,12)++t(32,48,12)-
s(24,40,28)s(16,48,20)*t(24,40,28)c(40,32,12)-*
s(32,32,28)c(40,24,20)-t(32,40,20)c(16,16,12)+*
s(40,32,28)t(24,56,12)+s(32,32,28)s(24,40,28)**
c(24,24,20)c(32,24,20)s(24,32,28)*t(40,40,20)+-
c(32,32,20)s(24,32,20)s(16,32,20)**c(32,32,12)+
t(24,32,28)c(24,24,20)+s(8,24,12)-c(24,24,20)*
c(48,40,12)c(40,40,12)+t(24,40,28)s(16,16,20)++
s(16,40,20)t(24,40,20)+s(16,8,12)s(32,32,12)+-
s(48,16,12)t(24,32,28)s(24,40,20)*t(24,40,28)*+
c(40,32,20)c(16,48,12)s(32,32,28)+*s(40,16,20)*
t(48,16,12)s(32,32,28)s(40,16,20)s(24,48,12)+*+
c(16,32,12)s(48,16,12)c(24,24,12)+s(24,24,20)*+
c(40,40,20)s(24,40,20)t(40,40,12)+s(32,40,20)**
s(16,40,20)s(24,24,28)c(40,32,20)s(32,32,20)*--
s(32,32,20)c(40,40,20)*s(32,32,28)c(32,24,20)**
s(40,32,28)s(32,32,12)t(32,16,12)+-t(40,40,20)*
s(32,48,20)s(24,40,28)s(24,24,12)-*t(24,40,12)-
s(32,40,28)c(40,16,12)t(24,48,20)s(32,32,12)-+*
s(40,40,28)s(24,24,28)s(32,40,28)**c(48,32,12)-
c(24,24,20)c(32,32,28)s(16,24,20)-s(40,24,20)*-
s(32,8,12)s(16,32,20)+s(24,32,20)t(24,48,28)+*
s(16,40,12)s(24,32,20)s(32,24,28)*t(40,24,20)++
s(40,48,20)t(32,32,20)+s(48,40,20)*s(16,24,20)+
s(48,40,12)s(40,16,20)s(16,16,12)t(32,48,28)+++
c(24,32,20)s(24,24,20)+t(32,40,20)-s(16,48,20)-
s(40,48,20)c(40,24,20)c(24,40,20)-+s(40,32,20)*
s(24,40,20)t(24,24,12)-s(32,16,12)+s(40,24,12)-
c(24,40,20)t(32,32,20)s(32,24,20)*s(16,16,20)+*
s(40,48,20)c(32,48,12)s(24,32,20)c(32,40,20)*+*
s(16,40,20)s(24,32,28)s(24,24,28)t(16,24,12)-*-
c(48,16,12)s(48,40,12)+t(40,40,20)+s(32,40,20)*
c(32,32,20)c(16,40,12)s(40,24,28)s(24,24,12)-+*
s(32,40,28)s(48,40,20)s(8,48,12)+*s(16,16,12)+
t(40,32,12)s(32,32,20)c(16,16,12)s(40,40,12)+-+
s(24,40,28)c(24,32,20)*t(16,32,12)-c(24,40,20)*
t(24,32,28)t(32,40,28)t(24,40,28)t(32,32,28)*-+
s(32,16,20)c(48,24,12)-c(32,32,20)s(24,40,20)--
s(32,16,20)s(48,16,12)-s(16,32,20)c(32,40,12)+-
c(40,16,12)s(32,40,12)+s(32,40,28)*c(16,48,12)+
c(24,32,20)t(40,40,20)s(48,16,20)s(32,16,20)-+-
s(16,24,12)s(24,48,20)t(32,48,20)s(16,16,12)+*+
s(40,24,28)t(32,40,20)+s(32,48,20)*s(24,32,12)+
s(40,40,20)t(32,48,20)+t(24,56,12)s(48,24,20)+*
s(48,32,20)s(16,24,20)c(32,32,28)*s(40,16,20)-+
s(24,48,12)s(24,24,12)+s(24,48,20)s(32,32,20)+*
s(24,32,28)s(24,32,28)s(40,24,28)*c(24,16,12)+*
c(40,40,20)s(16,40,12)+s(32,32,20)*c(32,48,12)-
t(32,32,28)s(40,40,12)t(48,16,12)+-s(32,16,20)*
s(24,24,28)s(40,40,20)s(48,40,12)t(32,56,12)+--
t(40,24,12)s(32,32,28)s(40,24,28)s(32,40,20)-*+
s(32,24,28)t(24,32,12)-c(32,32,28)t(24,40,28)-*
c(32,16,12)t(24,40,12)t(40,40,12)c(16,24,12)+++
s(24,24,20)c(32,24,20)*t(32,24,12)-t(24,32,28)*
s(40,32,20)s(40,40,20)+s(32,32,28)s(48,24,20)**
c(40,40,12)t(40,24,20)t(40,56,12)s(40,16,20)+*+
s(40,32,28)s(16,40,12)t(32,40,20)c(16,32,12)-+*
s(24,40,20)s(8,48,12)-c(24,40,20)s(32,24,28)**
s(16,40,20)t(40,48,12)+t(24,24,20)-t(24,48,20)-
s(24,32,20)t(24,32,28)c(24,32,20)**s(40,32,28)*
s(48,32,20)s(32,40,20)t(24,40,28)+c(40,24,20)*-
s(8,8,12)c(40,32,20)s(40,24,28)*s(32,40,28)*+
s(48,32,12)t(24,40,28)t(40,48,12)-+c(40,48,12)+
c(24,40,20)c(32,40,20)*s(24,32,28)*c(32,24,20)*
s(24,32,28)c(40,40,20)-t(16,16,12)t(40,24,20)+-
t(24,32,12)t(32,24,20)s(40,8,12)-c(32,24,12)++
s(16,32,12)t(40,32,12)+t(32,32,28)+c(40,32,20)-
s(16,40,20)s(24,24,20)+t(32,48,28)t(48,16,12)+-
c(32,24,20)t(48,40,12)+s(8,16,12)s(32,32,20)+-
c(40,32,12)c(48,48,12)+c(32,24,12)+t(24,24,20)-
c(24,40,20)s(16,32,20)c(16,40,12)--s(32,24,28)*
s(16,16,20)c(32,16,12)+s(32,32,28)c(24,32,20)**
c(24,16,12)s(24,40,12)+s(16,16,12)+c(24,40,20)*
s(24,48,20)c(40,48,12)-t(24,32,12)-s(32,8,12)+
c(24,16,12)s(48,24,20)+s(24,16,12)s(16,48,12)+-
s(48,24,20)s(40,32,28)s(48,40,12)-c(32,24,20)*+
s(48,24,20)c(40,24,20)s(24,16,20)-*s(48,48,12)+
c(32,40,20)s(32,16,20)+s(24,24,28)*t(24,16,12)-
s(32,32,20)s(16,32,20)c(32,32,28)**t(48,56,12)+
s(40,48,20)c(32,32,12)-s(40,24,20)c(16,48,12)+-
t(48,24,12)s(24,32,20)s(32,48,12)++t(24,40,28)*
s(48,48,20)s(32,40,28)*t(24,24,20)s(24,32,20)*+
c(40,24,20)s(32,16,20)t(24,48,28)c(16,32,12)+--
t(32,40,12)s(16,48,20)+s(32,32,28)-t(48,40,12)+
s(16,24,20)s(48,40,20)+t(32,40,28)s(32,8,12)+*
s(16,48,12)t(24,24,20)s(48,40,20)+s(40,48,20)-+
t(32,32,28)s(32,48,20)s(32,32,20)s(40,48,20)+**
t(16,32,12)t(32,56,12)+s(32,24,28)s(40,32,20)-+
c(40,40,20)s(40,48,20)c(32,24,20)-*s(16,40,12)+
s(16,48,20)s(32,32,20)s(40,40,28)+-s(40,24,28)+
t(32,32,28)t(24,24,12)s(32,48,20)+-s(48,48,20)+
s(24,40,28)c(32,24,20)s(40,32,28)*-s(40,40,20)-
s(24,32,20)s(40,32,28)+s(24,24,28)*s(40,40,28)*
s(48,48,20)s(48,40,12)t(32,24,20)+s(40,40,20)*-
s(40,32,20)s(40,24,20)c(24,40,20)s(48,16,20)+**
s(48,32,20)s(32,24,28)*s(32,32,28)s(24,24,20)*+
s(16,40,20)c(24,24,12)-s(24,32,28)+t(32,40,28)*
c(40,24,20)t(32,40,28)s(32,24,28)*t(32,56,12)+*
s(24,24,28)c(32,32,20)-t(16,24,12)-s(32,24,20)-
s(40,40,28)t(16,56,12)t(32,32,28)+*t(32,24,20)-
c(32,32,28)c(32,40,20)s(16,16,20)s(40,24,20)-+-
s(32,40,28)s(16,32,20)s(16,48,20)+s(32,48,12)-*
c(32,40,20)s(8,40,12)s(40,24,12)++s(32,16,20)+
s(40,24,28)c(32,32,20)t(24,32,28)+-s(16,8,12)+
s(8,48,12)t(32,32,28)+c(40,16,12)-t(24,40,28)*
s(32,32,28)c(32,24,20)*t(16,32,12)-c(24,32,20)*
s(16,24,20)c(40,16,12)+t(40,48,20)+c(40,24,20)*
s(48,32,20)s(40,48,20)-c(40,24,20)c(24,24,20)*-
t(24,32,28)s(48,40,12)c(24,48,12)+-s(40,32,28)*
c(32,40,20)t(40,32,20)*t(16,16,12)+c(24,32,20)*
s(32,16,20)s(24,40,28)t(40,32,20)--t(32,40,28)-
s(32,40,28)t(40,24,20)-t(32,48,28)s(8,24,12)+*
s(32,32,20)s(48,16,20)-s(16,24,12)+t(32,32,28)*
c(32,40,20)s(24,8,12)t(32,32,20)s(40,48,12)-+*
s(32,40,20)s(32,32,20)*c(48,16,12)t(16,32,12)+-
s(48,48,20)s(24,8,12)s(16,32,20)++s(24,24,28)*
s(24,32,20)c(40,40,20)+s(40,32,28)*s(24,40,28)*
c(32,32,28)s(32,16,20)*t(48,32,12)+s(48,16,12)+
t(24,32,28)s(40,48,12)-s(48,40,12)+s(24,40,20)*
c(40,32,20)s(32,40,28)*t(32,56,12)t(40,40,20)+*
t(32,32,28)s(32,16,20)c(24,24,12)-s(32,48,20)+*
s(32,48,12)s(48,40,20)c(32,32,20)*+t(40,32,12)-
s(32,16,20)c(32,24,20)s(24,32,12)-s(48,16,20)+*
s(40,32,28)t(24,40,28)-c(24,40,12)+s(48,16,20)+
t(48,40,12)s(40,24,28)s(24,32,28)*s(16,40,12)++
s(40,48,12)t(40,32,20)+s(40,32,20)*s(48,16,20)-
s(32,32,28)s(32,40,28)s(40,48,20)s(32,40,20)+*-
s(40,16,20)s(40,16,12)-s(32,32,28)s(24,16,20)*+
s(32,40,20)t(24,40,28)*s(40,40,28)s(40,24,20)-*
t(40,48,20)s(48,16,12)t(32,40,28)+c(24,24,12)-*
s(48,24,20)t(32,32,20)-c(40,24,20)t(24,48,28)-*
s(48,24,20)s(48,40,20)c(32,32,28)t(24,48,28)*--
s(16,40,20)c(40,40,20)t(24,24,20)-+s(40,40,28)*
s(40,24,28)c(32,32,28)*s(48,32,20)*t(40,48,20)-
s(32,40,28)t(40,48,12)c(48,24,12)+c(32,24,20)+*
s(24,16,20)s(48,48,12)+t(40,24,20)s(40,40,20)++
s(16,8,12)s(16,48,20)t(24,48,28)++s(40,40,28)+
s(16,48,20)s(16,24,12)s(16,32,12)++s(16,32,20)*
c(32,40,20)s(48,24,20)s(48,32,20)*t(40,24,12)--
s(32,32,20)s(24,32,28)c(32,24,20)*s(16,16,12)-*
s(24,16,20)s(48,40,12)+t(24,48,28)c(32,16,12)+-
s(48,16,20)s(24,40,12)t(16,16,12)+s(24,24,28)*+
t(48,48,12)c(24,32,20)+s(24,16,12)t(32,32,20)+-
s(32,32,20)c(32,32,12)-t(32,48,12)t(24,48,12)++
s(16,32,12)t(40,16,12)+s(40,16,20)c(24,24,20)-+
s(16,32,20)s(24,24,28)s(16,24,20)c(24,40,20)-*-
c(40,32,20)s(48,24,20)s(16,40,12)++s(24,24,20)-
s(48,16,20)t(48,24,12)-t(40,24,20)s(40,40,28)*+
c(24,24,20)s(32,8,12)-c(32,16,12)+t(40,48,20)+
s(40,40,20)s(40,32,20)c(32,32,20)*c(24,32,20)*-
s(32,48,12)s(32,24,20)+c(32,40,20)*t(24,32,12)-
s(24,16,20)s(32,16,20)s(16,32,12)+c(48,16,12)+*
t(24,40,28)s(32,40,20)t(32,32,28)s(48,24,20)+**
s(32,40,20)t(40,48,20)+s(24,24,28)s(32,40,28)**
s(40,24,28)s(8,40,12)t(48,16,12)t(40,32,12)++*
t(32,32,28)s(32,16,20)+t(40,40,12)-s(32,40,12)-
c(24,32,20)t(16,32,12)-c(40,40,20)c(32,40,20)*-
c(24,40,20)s(32,32,28)s(32,48,20)t(24,32,20)--*
c(48,48,12)c(40,24,20)s(32,24,12)-+s(40,16,20)-
t(16,48,12)s(40,40,20)+c(24,16,12)s(48,32,12)++
t(40,48,20)t(24,40,28)s(24,48,20)--c(40,40,20)*
t(16,48,12)t(40,40,20)+s(32,40,20)t(24,24,20)-*
s(32,40,20)s(40,48,12)s(32,8,12)+-s(24,32,28)*
s(40,24,20)t(32,40,20)t(24,48,28)+-t(32,40,28)+
c(24,40,20)s(40,48,20)+s(24,40,28)*t(48,48,12)+
s(32,32,20)c(48,24,12)s(16,32,20)+*t(48,24,12)-
s(16,32,20)s(40,24,28)c(48,24,12)s(24,40,12)+-+
s(40,32,12)t(24,48,28)s(40,32,28)*+s(32,48,20)*
t(32,48,28)c(32,24,20)c(40,40,20)+s(40,32,28)*+
s(40,32,20)s(32,32,20)*t(40,24,12)-c(32,48,12)+
c(40,32,20)t(32,32,28)t(40,40,12)--s(32,48,12)-
t(48,48,12)c(40,24,12)+s(48,8,12)s(24,24,28)++
c(16,32,12)s(32,40,20)+t(16,40,12)-s(40,40,12)-
t(24,40,20)s(8,16,12)c(32,24,20)++s(40,16,20)*
s(32,24,28)s(16,16,12)t(32,48,20)s(40,24,28)-+-
s(40,16,20)c(24,32,12)t(40,24,20)+*s(40,48,20)+
s(40,40,28)s(24,32,20)t(48,56,12)t(24,56,12)++*
s(24,16,20)t(40,16,12)s(48,48,20)++c(32,32,20)*
c(32,48,12)s(48,24,12)s(16,32,12)+s(32,24,12)++
t(32,48,28)c(32,32,28)c(40,40,20)s(24,40,28)*--
s(32,32,20)c(16,24,12)-s(24,32,28)*t(24,32,28)*
c(48,32,12)s(24,32,20)c(16,16,12)-+t(16,32,12)-
s(48,16,20)s(40,32,28)s(32,24,20)*t(24,16,12)-+
c(32,16,12)c(16,16,12)+s(32,48,20)+c(32,32,28)*
c(32,40,20)s(32,32,20)+c(16,24,12)-t(40,32,20)*
c(32,32,28)c(16,48,12)c(24,24,20)s(16,16,20)*+-
s(40,32,28)c(24,32,20)*t(24,24,20)c(32,48,12)+*
c(16,40,12)c(40,24,12)t(40,16,12)++s(24,40,28)*
s(16,32,20)c(32,32,28)*s(16,16,12)+t(24,48,28)-
s(40,40,20)s(16,32,20)t(32,48,12)s(16,24,20)++-
s(24,24,20)s(32,16,20)*c(16,16,12)+s(16,16,20)*
s(48,40,12)s(40,24,20)+s(32,32,28)+c(32,16,12)-
s(40,40,20)c(40,40,20)c(32,48,12)s(24,16,12)+-*
s(48,24,12)s(16,24,20)s(16,40,20)*+s(24,40,28)*
s(40,24,20)s(48,32,20)*c(32,16,12)+s(48,48,20)+
s(40,24,20)s(32,32,12)-s(40,24,28)c(40,32,20)*+
s(32,24,28)t(40,32,20)c(24,40,20)t(24,48,28)*--
t(32,32,20)s(32,32,28)c(16,48,12)-c(32,40,20)**
c(32,32,28)c(32,24,20)t(32,32,28)+t(24,32,28)*-
s(32,48,20)c(32,24,12)t(32,40,12)+s(24,48,12)--
s(24,16,20)c(40,24,12)-s(32,8,12)-s(8,32,12)+
s(32,32,28)t(24,16,12)-c(24,16,12)s(24,40,20)+*
s(40,24,20)c(48,40,12)-s(16,32,12)+s(40,32,20)*
s(40,8,12)t(48,24,12)c(48,40,12)++t(16,32,12)+
s(48,16,12)c(32,32,28)s(16,24,20)*t(32,40,28)++
t(32,48,28)t(48,40,12)t(40,24,12)++s(16,32,20)+
s(40,40,28)c(32,32,20)t(40,48,12)c(40,24,12)+**
s(40,32,28)t(24,32,12)-c(24,32,20)*s(32,16,20)+
s(40,32,20)c(16,48,12)+c(32,24,20)s(48,48,20)+*
s(32,8,12)s(24,48,20)t(32,40,28)*t(32,56,12)-+
s(40,48,20)s(32,40,28)t(40,32,20)-s(40,24,20)-*
s(24,48,20)c(40,40,20)s(40,24,12)t(16,16,12)+-*
c(48,16,12)c(24,32,12)+c(24,40,20)+c(16,24,12)-
t(32,40,20)s(32,40,20)t(24,32,12)c(16,16,12)+-*
s(16,24,20)s(40,32,20)-s(32,24,28)s(24,16,20)+*
c(32,32,28)s(40,24,28)s(24,40,20)+*s(48,40,20)*
s(24,24,20)s(32,32,20)c(40,16,12)-+t(32,40,20)+
s(48,48,12)c(32,24,20)s(40,8,12)+t(32,40,28)-+
s(32,24,28)c(24,32,20)*s(24,48,20)s(16,48,20)*+
s(32,24,28)t(40,32,20)s(40,16,20)t(32,24,12)-+*
t(24,40,28)s(40,24,28)s(24,32,28)s(24,24,28)**-
c(32,32,20)c(32,48,12)+t(32,32,28)t(32,48,28)*-
c(32,24,20)c(40,40,20)-s(8,32,12)c(16,32,12)+-
s(24,16,20)s(16,16,20)*s(16,24,20)s(40,32,12)+*
t(40,24,20)t(24,40,12)+t(24,24,20)+s(32,16,20)-
c(40,24,20)s(24,40,28)c(16,40,12)--s(32,8,12)-
c(40,16,12)s(24,48,20)c(24,48,12)-+c(32,24,20)*
c(32,32,20)t(32,32,28)s(40,40,20)*t(24,32,12)--
s(48,8,12)c(40,24,20)t(40,16,12)-+c(24,16,12)-
t(32,48,28)s(32,40,28)s(24,32,28)s(40,24,28)**-
t(32,32,28)s(48,40,12)t(48,48,12)+-t(40,48,12)+
c(16,48,12)t(40,40,20)+s(48,32,20)+s(48,24,20)*
s(48,32,20)s(40,32,20)s(32,24,12)-s(48,24,12)+*
s(8,24,12)s(48,40,20)+s(16,32,20)-c(48,40,12)-
s(24,24,20)s(40,16,12)-s(16,16,20)s(32,24,12)+*
t(40,24,12)s(16,32,20)s(24,40,28)*+s(24,48,20)-
t(16,32,12)s(8,8,12)c(24,48,12)++s(32,40,28)*
c(32,32,12)t(40,16,12)s(24,24,20)+s(24,40,20)*+
s(24,24,28)t(32,32,28)t(40,24,20)+s(32,24,28)+*
s(48,32,20)t(24,24,20)s(24,32,20)++s(40,24,12)-
s(16,40,12)s(32,24,20)s(32,32,20)++t(48,16,12)+
c(32,40,12)c(48,48,12)+s(8,8,12)+c(32,24,20)-
c(16,40,12)c(32,40,20)s(48,40,20)*+t(24,24,20)-
s(32,32,20)s(32,40,28)s(8,40,12)s(32,40,20)+*+
c(40,24,20)s(40,32,28)t(32,32,20)c(48,40,12)---
s(32,24,28)s(16,40,20)s(24,24,28)*-s(32,40,28)+
c(32,32,28)s(16,24,12)-s(48,32,20)*c(40,40,20)*
s(24,40,20)s(16,32,12)-t(32,32,28)s(24,24,20)-+
s(40,24,20)t(32,48,12)+s(24,32,20)-s(32,24,12)+
s(24,40,20)s(16,16,20)s(40,32,28)-s(24,24,20)++
t(32,32,28)t(32,48,28)-c(32,48,12)+s(40,24,20)-
s(32,48,20)t(32,56,12)c(16,32,12)+-t(24,48,20)+
c(32,32,20)c(40,48,12)-s(40,40,28)*c(24,32,20)*
s(48,24,20)t(24,32,28)t(32,48,28)s(24,40,28)**-
s(24,16,12)c(48,48,12)+t(24,32,20)t(24,24,20)+-
s(24,40,28)s(32,24,28)-s(16,40,20)c(48,32,12)+*
c(32,40,20)c(40,40,20)*t(24,32,20)t(32,24,12)+-
t(32,32,28)t(32,32,28)s(24,24,28)*t(40,16,12)+*
s(40,8,12)c(32,24,20)+s(40,40,28)s(40,32,12)-+
s(32,32,20)c(32,24,20)t(16,32,12)-*s(48,24,12)-
s(24,24,28)s(8,40,12)s(48,32,12)+s(16,16,20)++
s(8,40,12)s(40,24,20)s(40,40,20)*+s(16,48,12)-
c(40,40,12)t(32,40,20)+s(16,16,20)+s(24,40,20)*
t(48,32,12)c(16,16,12)c(40,48,12)++t(32,24,20)-
t(24,48,28)s(40,32,20)s(24,24,28)s(32,32,28)-+-
s(40,40,28)s(16,32,20)t(48,48,12)++c(48,48,12)-
s(40,32,28)t(24,48,28)s(24,48,20)t(32,32,12)+*-
c(48,48,12)s(24,32,28)s(40,40,28)*s(32,40,12)-+
t(24,40,28)t(40,40,12)-s(32,48,12)+t(24,32,28)*
s(40,24,28)s(40,16,20)-s(40,40,20)s(32,24,28)*-
s(40,40,28)s(24,16,20)-s(48,32,20)*t(32,40,20)-
s(32,48,20)c(32,32,20)c(40,40,20)+*t(48,32,12)+
s(16,16,20)s(24,24,20)t(24,32,28)+t(32,48,12)+*
t(24,24,20)s(48,48,20)s(40,40,20)*+s(40,40,28)*
c(32,24,12)s(48,40,20)t(48,40,12)-+t(24,48,28)-
s(16,48,20)s(40,16,20)t(24,32,20)-t(24,56,12)+-
s(48,40,20)s(32,40,28)s(40,24,20)s(40,16,20)*+*
t(24,24,20)c(24,32,12)t(32,24,12)s(16,48,12)+++
s(48,40,12)c(24,40,20)s(40,48,12)t(32,32,28)+-+
s(16,16,20)s(16,16,20)s(24,24,20)+s(8,8,12)-*
c(32,48,12)s(16,32,20)+s(32,40,20)*s(48,32,20)-
c(16,24,12)c(40,32,12)+s(48,32,20)-s(24,48,20)-
t(32,40,28)c(24,32,20)s(48,32,20)-s(32,24,20)+*
s(40,40,20)t(32,40,28)*c(24,32,20)*s(32,32,12)+
c(24,40,20)s(32,24,28)s(40,24,28)s(8,24,12)+++
s(32,32,20)s(24,40,20)c(24,32,12)t(24,40,12)+*-
s(40,32,28)c(40,40,12)-s(32,40,20)c(40,16,12)+*
s(24,40,28)c(32,32,28)*s(40,24,28)s(32,32,28)**
s(24,24,20)s(48,48,12)+t(48,16,12)+t(32,32,28)-
c(32,40,20)t(24,24,20)-c(48,32,12)s(48,24,12)++
s(40,40,20)s(24,24,28)t(32,24,12)--s(40,48,20)*
c(32,40,20)c(48,24,12)s(16,48,20)+s(24,16,12)+*
s(40,40,20)c(24,32,12)-t(24,32,28)t(24,40,28)*+
s(32,40,20)t(32,32,20)-s(24,48,20)+t(24,40,20)-
t(24,32,28)s(32,40,28)*t(32,48,28)s(32,40,20)**
c(40,32,20)s(48,48,20)s(40,40,20)+*s(40,24,28)*
t(24,40,28)t(32,48,28)c(24,32,12)-c(40,24,20)--
t(24,32,28)c(32,40,12)-s(24,24,20)s(8,16,12)-*
c(24,32,20)s(16,48,20)c(32,40,20)+*c(16,40,12)-
c(16,48,12)t(32,48,28)s(48,48,20)*+s(32,16,12)+
s(16,40,20)t(48,24,12)+s(40,32,20)+t(40,24,20)*
c(32,24,20)s(48,16,12)t(24,40,12)+-s(24,32,28)*
s(8,48,12)s(40,32,20)s(24,40,28)*t(16,48,12)++
s(48,48,20)s(32,40,28)+c(24,24,20)-c(40,16,12)+
s(40,24,20)s(24,32,20)s(48,16,20)+s(40,24,28)-+
s(40,40,28)s(40,32,12)-c(24,32,20)+s(32,48,12)-
s(24,32,20)t(24,32,20)s(32,8,12)c(40,48,12)++*
s(32,24,28)s(32,24,28)s(48,48,20)-s(24,32,28)*-
s(32,24,20)t(16,48,12)+s(48,40,20)s(24,48,20)+-
c(32,48,12)c(40,24,12)t(16,16,12)+c(24,24,20)*+
s(40,24,28)s(24,32,28)*s(8,32,12)+s(40,24,20)*
t(40,48,12)s(24,32,20)+s(8,40,12)-s(32,48,20)-
s(24,32,28)s(32,16,12)-c(24,32,20)+t(32,24,20)-
c(48,16,12)c(40,32,20)c(24,40,12)++s(40,40,20)*
s(24,40,28)c(24,48,12)s(32,24,20)+c(40,24,20)*-
s(24,16,12)c(24,24,12)+s(32,16,20)*s(40,40,20)+
t(16,40,12)s(32,40,20)s(32,16,20)-+t(32,16,12)+
s(48,24,20)t(32,32,28)t(32,48,28)c(32,32,20)*-+
s(40,24,28)s(24,32,20)t(24,32,20)c(40,32,12)+*-
c(40,24,12)c(40,32,20)s(32,40,20)-+c(32,32,12)-
s(16,16,20)s(32,24,28)s(48,40,20)-*s(16,48,12)+
s(32,16,20)s(16,40,12)+t(24,48,28)s(48,40,20)--
s(40,48,20)c(32,32,28)t(32,32,28)s(32,40,20)*--
t(24,40,20)s(24,24,28)c(32,40,20)s(40,32,20)**-
s(32,40,20)c(24,32,20)+s(24,8,12)c(24,32,12)+-
c(32,32,28)s(40,48,20)*c(24,48,12)-t(16,40,12)+
s(32,48,20)s(32,40,28)s(48,40,12)-s(48,48,20)-*
c(40,48,12)c(48,24,12)s(16,40,12)++t(40,32,20)-
t(24,40,28)c(40,24,12)+s(40,24,20)*s(16,24,20)-
s(40,48,20)c(24,32,12)-t(24,56,12)t(24,40,12)+-
c(48,48,12)s(40,32,20)+c(16,24,12)t(32,48,12)+-
s(24,40,28)t(40,32,12)-t(32,32,20)-s(32,40,28)*
c(32,40,20)s(40,32,28)c(24,24,20)c(24,40,12)-*+
s(40,48,20)t(24,48,28)s(40,32,28)*s(48,32,20)+*
t(40,40,20)s(40,16,20)s(24,16,20)t(48,40,12)+*+
c(24,32,20)s(24,16,20)c(32,24,20)*-s(16,32,20)*
s(40,16,20)s(40,48,20)t(40,40,20)-c(40,32,20)+-
s(16,16,20)c(16,32,12)s(40,8,12)+t(16,32,12)--
t(32,32,20)c(24,40,20)s(16,16,20)-t(40,48,20)++
c(40,40,20)s(48,16,12)+t(40,48,20)s(32,40,12)--
s(48,16,20)s(32,24,20)t(32,32,28)s(48,40,12)-*-
c(24,40,20)c(32,16,12)s(32,48,20)+*s(16,40,12)+
s(32,40,20)s(48,40,12)+t(40,32,20)*s(16,48,12)+
c(24,32,20)c(24,32,20)s(40,16,20)-c(24,24,20)*-
s(32,48,20)c(40,32,20)s(40,40,28)*c(40,32,12)--
c(24,40,20)t(32,40,28)s(16,40,20)c(32,32,28)*--
t(32,32,28)s(40,24,28)s(32,24,28)*s(40,32,20)++
c(32,24,20)s(32,48,12)+s(40,32,28)t(32,48,20)-*
s(40,32,28)s(32,16,20)c(16,40,12)+s(32,8,12)-*
s(48,16,20)c(32,48,12)+s(40,24,12)-t(32,48,28)*
s(16,40,20)t(24,40,28)+s(24,40,20)c(32,32,20)+*
s(32,40,28)t(32,48,28)t(24,32,28)s(16,48,20)+**
t(24,32,12)t(40,40,20)t(24,48,12)++c(24,24,20)*
c(32,40,12)s(48,32,20)+c(32,32,28)*c(24,24,20)+
s(16,40,20)t(32,32,20)c(16,16,12)+t(32,32,28)*-
s(16,48,20)t(32,48,20)t(48,40,12)+c(48,40,12)--
t(48,48,12)c(16,40,12)c(24,40,12)++t(32,48,12)+
c(16,16,12)t(32,48,28)+t(24,48,20)s(48,48,20)--
s(40,24,28)s(16,40,20)-s(32,24,28)s(32,40,28)*-
c(24,32,12)c(40,32,12)+s(40,48,20)t(24,40,28)+*
c(32,32,28)t(32,48,28)s(24,48,20)+c(16,32,12)-*
s(32,24,28)c(16,16,12)-s(40,16,20)*s(24,16,12)-
s(24,40,28)t(24,48,28)s(16,40,20)*t(24,24,20)+*
s(24,40,28)c(24,24,12)-s(32,40,20)*s(48,40,20)+
c(40,40,20)c(24,32,20)t(40,32,12)-t(40,24,20)--
s(16,48,12)c(40,24,20)c(24,32,20)-+t(24,40,28)-
s(48,48,20)c(40,40,20)s(24,24,12)+t(32,40,12)-*
s(32,24,20)s(40,40,12)t(16,24,12)c(32,32,12)+++
s(32,40,28)s(32,24,28)*s(32,32,12)c(40,16,12)+*
s(16,16,12)s(40,40,28)c(40,24,20)s(48,32,20)--+
s(32,32,28)s(48,24,12)-c(16,24,12)-s(24,48,12)-
s(24,24,20)t(24,32,12)-s(40,24,28)+s(24,32,28)*
c(32,40,20)s(48,16,20)c(40,32,20)*c(40,16,12)++
s(32,24,20)s(16,16,12)+c(40,32,20)c(16,48,12)+*
c(24,32,20)s(24,16,20)-s(32,48,12)+c(32,32,12)-
t(32,24,20)t(32,32,12)+s(16,40,20)s(32,40,12)--
t(40,56,12)t(32,40,20)c(32,16,12)++s(32,16,20)*
s(40,24,20)s(8,40,12)c(40,32,20)+t(32,24,12)-*
c(32,40,20)s(8,8,12)s(16,48,20)s(40,40,20)+++
s(48,48,20)s(32,40,20)t(24,48,28)t(24,24,20)---
s(32,40,20)t(32,48,12)-t(32,32,20)s(48,16,12)++
t(16,16,12)s(40,16,12)c(24,40,12)+s(32,48,12)-+
s(40,32,28)t(24,40,28)c(24,24,20)*s(32,16,20)+*
s(32,48,20)t(16,56,12)-s(48,40,20)-s(32,40,28)*
s(24,40,20)t(32,40,28)+s(48,32,12)+t(40,32,20)-
s(16,16,12)s(48,16,20)+s(32,24,20)*t(24,16,12)+
s(32,24,12)s(8,48,12)+s(24,48,20)s(32,24,20)-+
s(32,24,28)t(40,24,20)c(32,48,12)+t(24,48,28)--
t(24,40,28)s(32,24,28)c(40,32,12)-s(24,16,20)--
s(48,24,20)t(40,32,20)+c(40,24,12)-t(16,24,12)+
c(40,48,12)s(40,32,20)+s(16,32,20)-s(48,48,20)*
s(16,24,12)c(24,48,12)s(40,32,20)c(40,24,20)*++
s(40,24,28)s(24,32,28)s(40,32,20)*-t(16,48,12)+
s(48,40,20)t(48,48,12)-s(32,40,20)c(24,24,20)++
t(24,24,20)c(32,40,20)c(24,24,20)t(24,32,28)*-+
s(24,32,28)t(32,40,20)-s(24,32,20)s(32,40,20)*-
s(32,40,20)t(16,24,12)t(40,24,12)+-c(16,40,12)-
s(16,48,20)s(24,24,28)t(24,40,28)-s(32,48,20)+-
t(32,40,28)c(48,40,12)-s(16,48,20)t(24,32,20)++
s(24,40,28)t(16,32,12)-s(40,40,28)*t(24,40,12)-
c(24,32,20)t(48,24,12)c(32,24,20)s(16,32,20)*+*
t(24,48,20)c(32,40,20)t(24,40,28)*+t(24,48,28)*
s(32,32,28)c(32,24,20)s(40,32,20)*-c(40,40,12)-
t(40,40,12)s(32,16,20)+s(48,40,20)-s(16,40,20)-
s(40,32,28)c(24,32,20)s(24,48,20)*c(40,32,12)++
c(16,48,12)c(32,40,20)c(32,32,20)*+t(24,24,20)+
t(32,32,20)c(16,32,12)t(24,32,12)+s(24,24,20)++
s(24,32,20)c(16,16,12)c(32,40,12)+*s(8,16,12)-
s(32,24,28)c(40,40,20)c(40,24,20)**s(48,32,20)*
s(40,40,28)s(32,24,28)+s(48,24,20)t(16,16,12)+-
s(24,32,28)t(40,40,12)-c(24,32,12)-c(40,48,12)+
t(24,48,20)s(24,48,20)t(24,16,12)+s(40,48,20)*+
s(48,40,20)t(24,16,12)s(8,24,12)+t(32,40,28)+-
c(32,32,28)s(48,16,20)t(32,32,28)s(24,24,20)*-*
t(40,32,20)s(32,16,20)c(16,48,12)+t(32,24,20)*-
s(48,16,20)s(16,40,20)t(48,48,12)+s(16,24,12)-+
s(32,32,20)s(40,32,20)s(24,24,20)c(24,24,12)--*
t(32,40,28)c(40,32,20)+s(16,40,20)t(16,24,12)+-
t(48,16,12)s(40,24,20)s(40,32,28)t(40,32,12)-*+
t(24,48,28)s(40,24,28)s(24,32,28)*-s(8,48,12)+
s(24,40,28)s(24,48,20)-s(24,24,28)*c(24,16,12)-
c(48,24,12)s(16,32,20)+c(40,24,20)s(32,24,28)*-
s(24,16,20)s(40,32,28)s(48,24,20)-t(24,32,28)+*
t(16,56,12)s(48,16,20)+s(32,32,28)t(16,40,12)--
s(32,32,28)s(40,24,28)c(32,32,20)s(16,24,20)+*-
s(24,32,28)t(32,40,20)-s(24,24,28)*t(40,40,12)+
s(32,16,20)t(32,40,20)c(24,24,20)s(24,40,28)*+-
s(24,40,28)s(40,48,12)t(40,32,20)+*s(48,40,12)-
s(24,16,20)c(40,24,20)-s(32,24,28)s(24,24,20)-+
t(32,40,28)s(32,24,12)-s(40,32,28)*t(48,16,12)+
t(32,32,28)t(32,40,28)t(48,48,12)-*s(32,40,20)*
t(24,48,20)c(32,32,20)s(32,40,28)*+s(24,48,20)*
t(24,48,28)s(16,40,20)s(16,16,20)-*c(24,32,12)+
s(24,24,20)s(40,16,12)+s(24,32,20)+t(32,24,12)-
s(32,40,28)s(32,32,28)t(40,32,12)-*s(40,48,12)-
c(24,40,20)s(32,24,20)c(40,40,12)--t(40,40,20)-
s(24,8,12)s(48,48,20)t(32,32,20)-t(48,32,12)++
c(16,24,12)c(32,40,20)s(40,32,12)-+s(16,32,20)*
s(32,32,28)s(16,48,12)s(40,16,12)+-c(40,40,20)-
s(40,24,20)c(48,16,12)t(32,48,12)+s(24,48,12)-+
s(24,48,20)t(32,40,28)t(32,32,28)s(48,48,20)++*
t(40,24,20)s(40,40,28)s(40,24,28)*s(16,16,12)+*
c(24,32,20)s(40,40,20)s(32,48,20)s(40,40,28)**-
s(32,48,20)c(40,32,12)+c(40,32,20)*s(32,16,20)-
c(40,32,20)s(24,24,20)t(40,48,12)+-c(40,32,12)-
c(24,24,12)c(40,16,12)+s(40,24,28)*s(24,32,12)-
s(40,40,28)s(24,40,20)c(32,40,20)s(32,32,12)-+*
s(40,8,12)s(48,40,20)c(48,24,12)-+s(48,32,20)*
t(24,48,20)c(24,24,12)s(16,32,20)+s(32,40,28)*+
t(48,40,12)s(32,24,20)s(24,32,28)s(24,40,28)**+
c(32,32,28)s(24,16,20)-s(32,40,20)t(32,32,20)*-
s(48,32,20)c(32,16,12)+t(32,40,20)+s(32,16,20)*
s(16,32,20)s(24,32,20)*s(32,16,20)+s(40,16,20)+
t(24,24,12)t(24,16,12)+t(24,40,20)+s(24,32,20)*
c(24,24,12)c(32,32,28)s(24,32,12)-c(40,40,20)*+
s(40,40,20)s(24,32,28)s(48,24,12)t(24,16,12)+-*
s(40,32,28)c(24,16,12)-s(16,32,20)t(24,32,20)+-
s(40,24,20)t(32,48,20)+s(24,40,20)c(32,40,20)+*
s(40,16,20)s(16,24,12)s(48,32,12)+-c(32,40,20)-
t(16,40,12)s(8,40,12)s(48,32,12)++t(40,32,20)-
s(48,48,20)t(32,48,20)+s(24,24,28)s(24,8,12)--
s(32,32,20)c(16,16,12)-s(40,48,12)t(24,48,12)+-
c(32,32,28)s(32,48,20)*t(48,40,12)-s(40,40,28)*
s(16,40,20)s(16,48,20)*t(16,48,12)s(24,8,12)+-
s(48,40,20)s(32,32,12)t(40,16,12)+-c(40,40,20)*
s(32,40,12)s(24,24,20)+t(24,40,28)-s(40,24,28)+
t(24,48,12)s(24,40,20)s(16,48,20)-+t(32,24,20)-
s(24,24,28)t(40,32,20)c(40,24,20)c(32,24,20)*+*
c(48,32,12)s(40,40,20)c(24,24,12)+c(40,32,20)*+
t(32,40,28)t(48,32,12)t(48,16,12)c(24,24,20)++-
s(32,24,20)t(24,32,20)+s(24,24,12)-t(32,48,20)-
s(32,24,20)c(48,40,12)t(48,24,12)+-t(32,32,28)*
t(24,32,28)s(48,48,12)+c(32,40,20)s(24,40,28)**
s(32,32,28)t(16,24,12)c(40,24,20)c(40,40,20)*+*
s(40,40,28)t(32,40,28)-t(32,24,20)+s(24,40,28)-
c(24,24,20)s(24,32,28)s(24,32,28)s(16,24,20)*--
s(48,40,12)c(32,32,20)+c(24,16,12)-s(48,24,12)-
c(48,40,12)t(24,48,12)+t(32,40,28)s(24,24,20)+*
s(40,40,28)t(40,48,12)-s(16,40,20)t(24,48,20)+*
s(16,24,20)c(40,24,20)s(40,40,28)c(24,24,20)*-+
s(40,24,28)s(32,40,28)-c(48,24,12)s(8,48,12)++
s(48,32,20)t(16,24,12)s(40,24,28)+*s(32,24,28)*
c(48,40,12)s(40,32,20)t(32,40,28)s(40,40,20)**+
s(32,24,20)t(24,48,28)+s(24,16,20)s(48,8,12)+*
c(24,32,20)t(24,40,20)-t(32,32,28)s(40,16,20)--
s(40,40,28)c(24,40,12)-t(40,56,12)-t(24,48,20)+
s(16,48,20)s(32,32,12)t(16,24,12)++s(40,32,28)*
c(32,32,20)s(24,32,28)*t(32,40,28)*s(32,16,12)-
c(32,24,20)s(48,24,20)+s(32,32,28)s(40,40,20)*-
s(16,40,20)s(24,40,20)c(16,48,12)+c(40,40,20)+*
s(16,32,20)c(32,32,20)c(32,24,20)s(16,32,12)-*+
s(24,32,28)s(40,40,20)-s(24,40,20)*s(16,48,12)+
t(48,16,12)s(32,16,20)c(24,24,20)*t(32,32,20)-+
t(24,40,28)s(40,40,20)t(40,24,12)t(24,48,28)+*-
s(40,40,28)t(48,40,12)-t(24,40,28)-s(40,16,20)+
t(48,48,12)s(16,40,20)+t(48,32,12)+t(32,40,28)*
s(32,40,20)s(24,40,28)s(48,16,20)t(16,56,12)+-*
t(24,48,20)c(40,24,20)+s(16,32,20)c(24,48,12)--
s(32,32,28)t(32,24,20)-c(32,32,20)c(48,16,12)--
t(32,48,28)s(48,40,20)-s(32,40,20)+t(40,40,20)*
s(32,24,28)t(24,48,28)s(40,24,12)+-s(32,32,20)-
c(24,32,20)c(40,32,12)-s(24,40,28)s(16,32,12)-*
s(40,48,20)s(40,40,28)t(48,24,12)-s(48,24,20)-*
c(24,16,12)s(24,40,12)+s(32,24,20)*s(16,24,12)+
s(24,40,28)c(32,32,28)s(48,24,12)t(24,56,12)+-*
t(24,40,28)s(24,48,20)*t(24,40,28)c(24,32,20)**
t(24,56,12)s(32,40,20)s(48,48,20)s(32,48,20)+*+
c(16,48,12)s(40,40,12)+t(32,24,12)+c(32,32,28)*
s(16,16,20)t(24,48,28)s(32,40,12)-+s(24,8,12)-
s(40,32,20)s(24,24,28)+t(32,40,28)-s(24,32,28)*
t(32,48,28)t(32,40,20)t(40,48,20)c(32,32,12)---
t(24,48,28)c(40,40,20)*t(40,24,12)+t(16,16,12)+
c(24,40,20)t(16,24,12)-c(40,40,12)+c(32,40,20)*
s(16,40,12)c(16,32,12)s(16,48,12)+s(8,48,12)-+
s(16,48,20)c(24,24,20)s(24,32,28)*+s(40,16,20)+
s(40,16,20)c(48,48,12)+s(40,24,20)-s(32,24,20)+
c(24,32,20)c(40,16,12)-s(32,40,20)+t(32,32,20)-
s(32,48,20)c(24,32,20)c(24,32,20)s(24,16,20)*-*
c(32,40,20)s(24,16,20)s(40,16,20)*+s(24,32,20)*
s(16,16,20)s(32,16,20)s(40,24,28)*+s(48,32,20)+
s(32,40,28)s(24,32,20)c(32,48,12)+*s(24,40,20)*
s(24,16,20)s(8,24,12)t(40,40,12)++s(32,32,28)*
c(40,32,20)s(16,40,20)-c(32,40,12)t(40,24,12)++
s(40,32,20)s(40,40,20)c(24,24,12)t(40,16,12)+-*
s(24,16,20)s(16,24,20)+s(32,40,20)t(40,48,20)-+
s(48,48,20)s(16,32,20)+t(24,32,28)t(24,24,20)--
c(24,24,20)t(24,32,20)s(48,24,20)+t(40,56,12)+*
c(40,40,20)s(40,24,12)-c(24,32,20)s(40,32,28)*-
c(24,32,20)s(48,16,12)s(24,24,28)+*s(40,32,28)*
c(40,24,20)t(24,32,28)c(40,32,12)+s(32,16,20)*-
t(24,32,28)t(24,32,12)-s(40,48,12)+s(40,40,20)+
s(32,48,20)t(40,40,12)-s(48,16,12)t(48,56,12)++
s(16,32,20)s(24,48,20)t(16,16,12)+s(8,48,12)--
s(32,40,28)s(32,24,28)-t(48,40,12)+t(32,48,20)*
s(40,32,28)s(40,24,28)*c(40,32,12)t(48,40,12)+*
s(40,40,28)t(24,40,12)-s(8,16,12)+s(16,40,20)+
s(40,8,12)c(24,32,20)c(40,32,20)*c(32,24,20)*+
s(40,40,20)c(48,24,12)c(32,32,20)+*t(32,24,20)-
t(40,32,12)s(16,24,12)s(32,16,20)++s(32,32,20)*
s(32,40,20)c(24,32,20)s(32,16,20)*-t(32,40,12)-
s(40,24,28)s(24,40,12)s(48,32,20)c(40,32,20)*+*
s(16,24,20)s(24,32,20)s(32,32,20)*t(16,32,12)--
c(24,40,20)s(32,24,28)s(48,32,12)s(8,48,12)++*
t(40,24,20)t(40,56,12)+s(40,40,20)t(32,40,20)*-
c(32,40,12)s(48,48,20)s(16,16,12)++c(32,32,12)+
c(48,24,12)c(16,40,12)c(16,24,12)+s(40,24,28)-+
s(24,24,12)t(32,48,20)s(16,40,20)++c(24,40,12)-
c(32,32,20)t(32,24,20)t(48,16,12)+*s(40,24,20)*
s(48,24,20)t(32,16,12)+c(24,24,20)c(24,32,20)*-
s(40,32,28)t(24,40,12)s(24,16,20)+s(40,40,20)--
s(24,32,20)c(24,40,20)t(24,56,12)-s(32,40,20)+*
s(40,32,12)s(32,32,28)t(48,32,12)-t(32,24,20)-+
c(24,40,20)c(32,32,20)*s(48,48,20)-s(16,24,12)-
t(24,24,20)c(32,24,20)s(24,24,20)*s(24,48,20)+*
s(40,24,28)s(24,24,28)s(48,24,20)--s(32,24,20)*
s(8,24,12)c(24,40,20)+t(24,32,28)*c(32,40,20)*
s(24,24,20)s(32,32,28)s(24,16,20)+t(24,48,28)*+
c(16,32,12)s(48,16,20)+s(48,16,20)c(40,32,12)--
s(40,32,28)c(32,32,28)s(40,48,20)*-c(48,24,12)-
c(24,32,20)s(40,32,28)s(32,40,28)s(24,40,28)***
c(40,32,20)s(24,32,28)*s(40,48,12)t(16,24,12)+-
c(32,32,28)t(24,40,28)c(48,40,12)+t(24,32,20)-*
t(32,48,28)s(40,32,28)t(40,40,20)-s(32,24,12)--
s(40,32,20)s(32,40,28)s(48,32,12)-s(32,24,20)--
c(40,32,20)s(40,8,12)+s(32,40,20)*s(24,40,20)*
c(40,40,12)s(40,16,12)+t(24,32,28)s(24,40,20)*-
s(48,40,20)s(16,32,20)c(32,24,20)+c(32,40,20)+*
s(48,48,20)s(40,8,12)+s(24,40,28)-s(48,48,20)*
c(24,40,20)t(32,56,12)-c(24,24,20)t(24,32,28)*-
s(48,16,20)c(32,24,12)-s(48,32,20)+s(40,32,28)*
s(24,24,28)s(40,24,28)-t(32,40,20)+s(24,40,12)-
c(32,32,20)c(32,32,28)c(32,48,12)-*s(24,48,20)-
c(32,16,12)s(48,32,12)+c(40,32,20)*s(32,40,12)+
t(24,40,28)s(32,32,28)s(24,40,28)*s(24,32,20)**
s(40,48,20)c(32,32,28)c(24,40,20)-c(40,32,12)-+
c(40,40,20)s(32,32,28)s(40,24,20)c(32,40,12)-*-
s(40,16,20)s(48,32,12)t(40,32,20)s(40,24,20)*+-
s(16,32,20)t(32,40,20)c(40,24,20)+s(16,16,20)++
c(16,32,12)c(16,48,12)s(40,40,28)+s(32,24,20)-+
c(32,24,12)s(24,32,28)s(32,32,20)-+t(24,48,28)+
c(24,32,12)s(48,16,12)+s(48,8,12)-s(24,32,20)*
s(40,32,28)s(24,32,28)*t(24,48,20)s(16,48,20)*-
c(40,32,20)t(32,40,20)-s(48,24,20)*s(16,40,20)+
t(24,48,28)t(24,40,28)s(40,32,20)t(40,40,20)*--
s(32,32,28)c(48,32,12)-s(40,32,20)s(24,32,20)-+
c(40,16,12)s(16,32,12)+s(40,24,20)+c(40,40,20)*
s(8,40,12)s(16,24,20)+s(40,32,20)t(32,32,20)+-
s(40,40,20)s(24,48,20)s(16,48,20)*+t(40,48,20)*
s(24,40,20)c(24,24,20)*c(32,40,20)t(32,48,28)+*
s(40,24,28)c(32,32,20)t(24,40,28)*-c(16,24,12)+
t(40,24,20)c(40,32,12)+t(32,48,20)-s(16,48,20)+
s(16,32,20)c(32,24,20)s(24,16,20)t(16,32,12)+*-
s(32,40,28)s(40,32,20)c(40,16,12)+s(8,8,12)+*
s(32,32,28)s(24,24,12)t(16,48,12)+-c(48,16,12)-
s(16,32,20)s(40,32,20)s(48,24,20)-s(8,24,12)+-
s(24,24,28)s(40,32,20)s(40,24,28)s(32,40,20)**-
s(16,48,20)s(24,32,12)+c(32,32,20)c(40,16,12)-*
t(32,16,12)s(48,16,20)+t(32,40,12)+s(32,32,20)*
s(48,32,20)t(24,32,28)t(32,40,28)t(24,48,20)*--
s(8,24,12)t(24,48,28)+s(32,48,12)-c(24,32,20)-
s(32,40,28)s(8,40,12)t(24,48,20)+*s(48,48,20)-
s(24,40,20)s(16,24,12)s(32,32,12)+-s(32,16,12)+
s(24,24,28)s(32,32,28)s(40,24,12)-s(16,24,20)+-
s(32,24,28)t(48,24,12)-c(32,32,20)t(40,32,12)--
s(40,32,28)s(48,48,12)s(24,16,12)+t(48,24,12)+*
s(48,16,20)c(40,24,20)s(40,40,28)s(24,48,20)*-*
c(32,32,20)c(32,32,20)t(24,40,28)-c(40,32,20)*-
s(24,24,20)s(40,40,20)-c(32,32,20)t(32,48,12)-+
s(40,16,20)c(16,40,12)+c(40,32,20)-c(24,24,20)-
s(16,48,12)t(32,32,28)+c(40,24,20)s(32,32,20)*-
s(16,24,12)c(32,32,28)t(32,32,28)-c(24,32,20)*+
s(40,32,12)c(24,40,20)+c(16,24,12)+t(24,24,20)-
s(24,32,28)s(24,16,12)-s(40,24,12)-t(32,32,20)+
c(48,16,12)c(32,24,20)+t(40,48,20)t(24,24,20)+-
s(8,16,12)s(16,16,12)t(32,32,28)+s(24,32,28)*+
s(24,32,28)s(32,24,20)s(48,16,12)t(40,40,20)++*
c(40,24,20)s(32,16,20)t(16,16,12)+-c(48,16,12)-
s(24,32,28)s(8,48,12)c(48,16,12)+-s(32,24,28)*
t(24,40,20)t(16,16,12)s(8,32,12)+s(48,48,20)+-
s(16,32,20)s(24,32,20)t(32,40,28)s(40,32,20)--*
s(40,40,28)s(32,40,28)s(24,32,12)-*s(8,40,12)+
s(40,40,28)s(32,32,28)s(40,32,12)-*c(48,40,12)+
s(24,32,20)s(40,32,28)s(32,16,20)*t(32,40,20)+*
s(16,16,20)s(40,24,28)-s(32,40,28)s(40,24,28)--
t(40,16,12)c(24,40,20)+c(24,24,12)t(32,24,12)+-
c(24,40,12)c(40,32,20)+t(24,40,28)-c(32,16,12)+
s(24,40,20)t(32,16,12)+s(40,16,12)+s(16,48,12)-
s(24,40,12)s(24,40,28)c(24,24,12)-s(32,48,20)*+
s(48,8,12)s(40,40,20)c(40,24,12)t(48,16,12)+++
s(32,40,12)s(40,32,20)t(48,40,12)-s(16,16,20)-+
s(32,32,20)t(24,40,28)s(24,32,20)+s(32,48,20)+*
s(32,40,20)c(24,40,12)t(32,32,12)+*s(32,16,20)-
c(24,40,20)t(32,24,12)-t(48,24,12)s(16,24,12)+-
s(24,32,20)c(24,24,20)c(32,32,12)-+s(40,24,28)*
c(24,32,20)c(24,40,20)s(16,24,20)--c(32,24,20)*
t(24,40,28)s(48,40,20)s(48,32,20)+t(48,32,12)--
c(24,24,20)c(24,32,20)s(40,32,28)t(24,32,20)+**
c(32,32,20)s(32,24,28)c(48,24,12)-*c(16,32,12)-
s(8,32,12)c(24,48,12)+t(32,32,20)+s(40,40,20)*
c(24,24,20)s(24,16,20)c(40,48,12)c(24,48,12)++*
t(32,48,20)s(48,16,12)s(24,40,20)+s(32,48,20)*+
s(24,32,28)s(32,32,20)-t(32,32,20)s(16,32,12)++
t(40,48,20)c(24,32,12)+t(48,56,12)-c(24,16,12)-
t(24,40,28)c(40,24,20)+s(8,16,12)s(40,48,20)+*
s(48,48,20)s(16,16,20)+s(24,24,28)-s(40,24,28)-
c(24,32,20)s(8,32,12)-s(32,48,12)-s(24,48,20)+
s(40,40,28)s(32,32,20)c(32,40,12)-+s(24,32,28)*
s(40,8,12)s(24,16,20)+t(24,32,28)-s(40,16,20)+
c(40,40,20)t(32,40,20)s(40,32,28)s(48,24,20)-*-
t(32,40,20)s(8,32,12)c(32,40,20)+t(40,32,20)-+
s(32,40,20)s(24,16,20)s(32,48,20)+s(40,24,20)*-
s(40,48,20)c(32,32,12)-t(40,16,12)s(48,48,20)+*
s(32,32,28)c(48,24,12)-s(32,24,20)*s(40,32,28)*
t(40,24,20)s(40,16,20)+c(48,16,12)s(16,48,12)+-
c(24,40,20)c(40,32,20)s(48,16,20)*c(24,32,12)+*
s(32,32,20)c(32,24,20)+s(24,8,12)-s(40,8,12)-
t(24,48,20)s(32,32,28)s(32,24,12)-+c(40,24,20)*
c(40,16,12)t(40,56,12)+s(48,48,20)s(48,32,20)-+
s(40,24,28)t(16,32,12)s(40,16,20)+-c(32,40,12)-
s(24,16,20)c(32,40,20)t(32,48,28)-s(8,16,12)++
s(40,24,20)s(48,16,12)s(40,16,12)+s(48,8,12)++
c(40,24,20)c(24,40,20)s(40,32,12)++t(32,48,28)-
t(32,32,28)s(16,48,12)-c(16,32,12)s(48,32,20)+*
s(40,16,20)s(48,40,20)s(24,40,28)-+t(40,24,20)*
s(48,32,20)t(40,24,12)-c(16,16,12)+s(16,48,12)+
s(8,32,12)s(40,24,28)s(24,48,20)s(32,40,20)*-+
s(32,24,28)s(48,8,12)-c(48,40,12)t(40,32,20)+-
s(32,16,20)s(24,16,20)*c(48,48,12)+s(24,40,20)-
s(16,16,20)t(32,56,12)t(40,24,20)s(32,32,28)*++
s(32,40,28)s(32,32,20)s(8,24,12)t(40,32,20)++*
s(40,40,28)s(32,32,20)t(16,40,12)-*s(32,24,20)+
s(8,8,12)s(24,32,12)+s(24,8,12)s(40,16,20)+-
t(24,40,28)s(40,40,20)s(24,40,12)+s(32,32,12)-*
s(24,32,20)s(40,16,20)-s(24,40,12)-t(32,48,12)+
t(32,40,28)s(48,32,12)t(24,24,20)+t(32,32,28)*-
s(16,24,12)t(48,40,12)+s(16,40,12)+c(40,40,12)-
s(24,48,20)t(32,24,12)+s(24,40,20)*t(24,24,20)-
s(32,32,28)t(32,40,28)c(32,24,12)-+s(48,32,12)-
t(24,32,28)s(24,8,12)t(40,48,20)t(32,16,12)++-
t(24,48,12)s(48,32,12)+s(24,16,20)+s(32,16,20)-
s(24,40,20)s(32,40,20)s(24,16,12)++t(32,24,20)*
t(32,48,28)t(32,32,20)-s(24,40,20)c(40,32,20)*+
s(48,40,12)s(16,32,20)t(24,32,12)-+t(40,48,20)-
t(32,40,28)s(24,16,20)-s(24,32,20)-c(48,32,12)-
t(32,48,28)t(32,32,20)s(24,40,28)*-s(24,40,28)*
s(16,48,12)t(32,40,20)+c(32,32,20)s(24,32,28)*+
s(24,32,28)s(32,32,20)s(24,24,20)-t(40,32,20)+*
c(40,32,20)s(32,16,12)s(8,40,12)++t(32,48,28)*
t(32,32,12)c(40,40,20)s(32,48,20)*+t(16,24,12)+
c(32,32,28)s(24,48,20)s(24,40,28)t(24,32,20)-**
s(16,48,12)s(16,32,12)t(32,40,12)++t(40,48,20)+
s(32,40,28)t(32,48,28)c(40,24,20)t(40,48,20)---
c(16,32,12)t(40,24,20)s(40,24,20)s(32,48,20)-*+
s(40,40,28)t(24,48,20)s(40,24,12)+t(24,24,20)-*
s(40,24,28)s(40,16,12)s(24,24,12)+-s(40,40,28)*
s(32,24,28)t(32,40,20)t(32,48,20)s(40,24,28)+*+
t(24,40,28)s(40,24,28)s(48,16,20)*s(32,48,20)+*
s(24,40,20)t(24,48,20)*s(40,32,28)+s(40,40,28)*
t(24,32,28)t(48,48,12)c(24,32,12)+s(48,32,20)--
t(40,32,20)c(16,24,12)+t(32,32,28)c(48,32,12)--
c(48,32,12)c(16,32,12)t(40,48,20)++s(40,48,20)*
t(32,32,28)c(32,40,12)-t(24,40,20)-s(32,8,12)+
c(40,24,20)s(24,48,20)-t(24,32,20)-s(24,8,12)+
s(32,32,28)s(8,48,12)c(24,32,20)s(24,16,20)*+-
s(40,48,20)c(16,16,12)+s(16,40,20)-c(32,32,28)*
t(24,40,28)c(24,40,20)s(16,48,12)-t(32,40,28)**
c(48,32,12)t(24,48,20)+s(32,32,28)t(24,24,20)--
s(40,16,20)s(24,40,28)s(32,48,12)t(40,40,20)++-
s(32,32,28)t(16,40,12)-s(48,24,20)+t(32,40,12)-
s(24,48,20)s(16,48,12)s(48,24,20)++s(16,48,20)+
s(48,40,12)s(40,24,20)+s(32,32,12)-s(40,40,20)-
c(48,40,12)t(48,16,12)+s(40,40,28)*c(32,24,20)+
s(40,32,20)s(32,24,28)*t(24,56,12)+s(32,48,20)-
s(48,48,20)t(24,24,20)s(40,48,20)+*t(48,48,12)-
t(24,48,28)s(24,16,12)c(40,48,12)++c(32,16,12)-
s(40,48,20)c(40,24,20)-s(40,24,28)c(32,40,20)*+
c(48,48,12)s(32,32,28)+t(40,48,20)*t(24,32,28)+
s(16,32,20)c(24,40,20)c(40,24,20)-*c(40,24,20)+
s(24,16,20)t(40,24,20)+s(40,32,20)-c(40,48,12)+
c(40,40,12)s(32,48,20)+c(32,32,20)s(32,40,28)**
s(24,16,20)c(16,40,12)+s(40,24,12)+s(24,24,28)*
s(24,40,28)c(32,32,20)c(32,40,20)*c(48,48,12)+-
t(32,40,28)t(32,32,20)-c(24,24,20)+s(32,40,28)+
s(32,48,12)t(40,32,20)s(48,16,12)-s(16,24,12)++
s(40,40,20)c(40,32,12)c(16,48,12)+c(40,40,20)**
t(32,48,20)c(32,32,28)s(40,48,20)*+s(32,32,28)*
t(32,48,28)s(48,24,20)+t(40,24,12)s(24,40,20)+*
t(40,48,20)t(32,48,28)s(24,40,12)-*s(48,32,12)+
t(48,40,12)t(24,24,20)+c(40,32,12)s(16,48,12)+-
s(40,40,20)c(40,40,12)t(24,40,20)c(32,32,20)*+*
s(16,40,20)s(24,32,20)-t(24,24,20)+s(24,32,28)*
t(24,40,28)c(32,32,12)+c(16,40,12)-s(40,48,12)-
t(40,40,20)t(32,32,28)+s(40,24,28)s(24,24,20)--
c(32,48,12)s(32,24,20)+s(16,48,20)s(32,40,28)*+
s(40,16,20)c(32,32,28)s(32,40,12)c(32,16,12)+--
s(24,24,28)c(24,32,20)s(16,32,20)*c(32,32,20)*-
s(32,32,12)s(32,48,20)+s(48,16,20)t(24,48,20)+*
t(32,32,28)s(40,48,12)+s(40,40,20)*t(48,40,12)-
c(24,40,20)s(32,40,28)t(24,40,28)+c(16,40,12)-*
t(40,24,20)s(40,40,12)t(24,48,12)++s(32,48,20)*
s(8,48,12)s(40,32,20)+s(16,16,12)+t(32,32,28)*
t(48,56,12)c(32,40,20)c(16,48,12)-c(32,32,20)*+
s(8,8,12)s(40,24,28)s(24,24,28)*+s(48,32,20)+
s(16,32,20)t(24,32,28)s(32,16,20)s(48,16,20)+-+
c(24,24,12)t(40,32,20)+s(40,32,28)s(24,24,28)**
t(24,40,20)s(32,24,20)+c(32,32,20)t(24,40,28)**
c(16,48,12)c(24,24,20)+s(24,48,20)s(8,8,12)+*
s(48,40,20)c(24,16,12)s(40,16,20)s(48,16,12)-+-
s(40,16,20)t(24,24,20)t(24,40,20)-s(8,40,12)++
c(40,24,12)t(48,48,12)+s(32,40,28)s(16,40,20)+*
s(24,40,20)t(24,32,28)t(16,48,12)+*s(40,40,28)*
t(32,32,28)t(24,32,28)*c(40,16,12)s(16,40,12)++
s(48,40,20)s(32,40,20)+t(24,32,12)-t(32,32,28)*
s(8,24,12)c(32,24,12)c(48,32,12)++t(40,48,20)+
s(16,24,12)c(24,40,20)+t(40,40,12)s(32,32,12)+*
s(48,24,12)t(32,48,12)+t(32,24,20)+s(24,32,28)+
s(40,24,28)c(32,32,28)*t(24,48,28)s(32,48,20)*+
s(48,40,20)t(24,48,28)s(40,32,28)t(32,32,28)*++
t(24,32,28)t(32,56,12)s(16,24,20)+t(48,48,12)+*
c(24,32,20)s(24,24,20)*t(16,48,12)+s(16,32,20)*
s(24,32,28)s(8,8,12)c(40,24,20)c(24,32,20)-+-
c(32,24,20)c(40,16,12)s(24,40,12)+c(16,32,12)-*
s(48,24,12)c(24,40,20)t(16,32,12)-+t(32,48,28)*
s(24,32,20)s(24,40,20)t(48,24,12)+s(32,48,12)-+
s(8,16,12)s(24,32,28)s(16,40,20)*t(32,32,20)-+
s(24,24,28)t(24,32,28)s(24,40,28)*t(32,32,28)*-
s(40,32,20)t(40,32,12)t(16,32,12)+s(8,16,12)+-
c(32,32,28)s(24,32,28)t(24,24,20)-s(24,48,20)*-
c(48,48,12)t(24,48,12)+s(24,16,12)s(40,40,12)+-
t(32,40,20)t(48,48,12)+t(32,24,12)+s(24,24,12)-
s(40,40,28)s(16,32,20)t(32,40,20)+t(32,32,12)-*
t(32,16,12)t(24,40,28)+c(40,16,12)-s(24,40,28)*
s(24,32,28)t(32,32,28)*c(40,24,20)t(32,32,28)**
s(32,32,28)s(48,48,20)t(40,40,20)-+s(32,40,28)-
c(32,24,20)s(40,40,20)s(24,40,28)t(32,32,28)**-
s(8,32,12)s(32,32,20)+c(24,16,12)-s(40,32,12)-
s(24,32,28)s(32,32,12)s(24,48,20)+*s(24,16,20)-
s(24,24,28)t(32,32,28)t(32,40,12)-s(32,40,28)**
s(24,24,28)c(16,32,12)c(40,40,12)+c(48,40,12)-*
s(24,24,20)s(48,16,20)c(32,32,28)*-s(16,40,20)-
s(32,16,20)s(40,8,12)-s(32,40,28)s(32,8,12)+*
s(40,48,20)s(40,40,28)t(24,48,12)-*s(40,8,12)+
c(40,24,20)t(32,40,28)s(32,16,20)-s(40,40,20)*-
c(24,40,20)s(40,32,12)t(24,56,12)s(32,40,12)+++
t(32,32,28)c(24,40,20)+s(24,48,20)*s(16,40,12)-
t(32,48,12)s(16,24,12)+t(40,32,12)+c(16,32,12)-
s(24,16,20)c(32,40,20)+c(40,40,20)t(48,40,12)-*
s(24,24,28)c(48,48,12)+c(32,24,20)c(32,16,12)-*
s(32,24,28)c(24,40,12)t(40,24,12)+s(16,48,12)-*
t(24,48,20)s(24,40,20)s(40,24,28)-t(32,40,20)++
c(40,40,20)s(40,24,20)-t(24,48,12)t(40,24,20)+-
c(40,24,20)s(40,24,28)c(48,24,12)-*s(24,16,12)+
t(32,48,28)s(24,24,28)c(40,24,12)-s(32,48,20)+*
c(32,24,20)t(40,48,20)-s(48,16,20)+s(32,24,20)-
s(32,32,20)s(48,24,12)+s(40,24,28)*s(48,40,12)-
t(32,48,28)t(24,56,12)-s(32,40,12)-c(32,40,12)-
c(32,40,20)s(16,40,20)t(24,40,28)*t(32,32,12)--
t(40,24,20)s(16,16,12)s(16,32,20)+-c(16,24,12)+
t(32,32,28)c(48,40,12)-s(24,40,28)*s(24,16,12)+
s(40,16,12)t(32,40,20)+t(40,24,20)+t(32,48,28)*
s(40,16,20)c(24,32,20)t(32,40,28)+t(24,48,28)--
t(24,32,12)s(40,40,20)+s(32,40,20)*s(48,32,12)-
s(24,24,28)s(24,24,20)t(48,40,12)c(16,24,12)++*
t(24,24,20)s(48,24,20)+s(24,48,20)+s(32,40,12)-
c(16,40,12)s(48,32,20)c(32,40,20)+s(40,48,20)*+
c(40,40,20)s(16,24,12)s(24,24,12)++t(48,48,12)-
s(40,40,20)c(32,16,12)+s(24,40,28)s(40,32,20)*-
c(24,32,20)s(32,24,12)s(24,40,20)s(40,32,12)-++
s(40,32,12)s(24,24,28)c(40,40,20)s(24,32,12)--+
s(24,32,28)s(40,32,28)s(24,16,12)-*s(24,40,20)*
s(40,32,28)s(24,16,20)c(24,32,20)*s(16,40,20)+-
s(8,48,12)t(16,32,12)+s(48,16,20)t(16,56,12)+-
t(16,56,12)c(32,32,20)+c(16,48,12)-t(32,48,28)*
t(40,32,20)s(48,32,20)c(40,48,12)t(48,56,12)++*
s(48,24,20)s(40,8,12)+c(40,24,12)-s(40,40,28)-
s(16,32,20)s(40,24,28)t(16,24,12)c(40,48,12)++-
s(16,16,20)s(40,32,12)+s(24,24,12)-s(40,24,20)+
s(24,40,28)s(16,48,20)c(24,32,20)+*t(32,24,12)-
t(24,48,28)t(24,24,20)-s(32,40,28)*s(48,40,12)+
c(40,24,20)s(32,48,20)-c(32,24,12)-t(40,32,20)-
s(32,32,20)t(24,48,28)t(32,24,20)--t(40,16,12)-
c(40,32,20)s(48,24,12)s(16,48,12)+s(24,40,12)-+
s(32,32,28)s(24,16,12)-t(40,40,12)-c(40,40,20)*
s(16,16,20)s(48,24,12)c(24,24,20)s(24,32,28)*+-
c(32,32,20)c(40,24,20)c(24,40,20)s(32,40,28)*--
s(16,48,20)s(16,48,12)s(32,40,12)+-s(40,48,20)+
t(24,40,20)s(16,48,12)c(24,24,12)+s(24,24,28)*+
s(32,40,20)t(24,32,28)*c(32,16,12)c(32,24,12)++
s(32,32,28)c(48,40,12)c(40,32,20)s(40,40,12)-+*
s(40,24,28)s(40,40,28)c(40,32,12)-*c(48,48,12)-
t(32,40,28)t(24,48,28)+t(40,48,20)-s(24,48,20)-
s(48,32,20)c(32,32,28)s(32,24,20)c(40,16,12)--*
s(24,40,28)s(32,48,20)s(16,40,20)c(32,40,20)*-*
t(24,40,28)s(16,48,20)t(24,40,28)*c(48,32,12)+-
s(24,32,28)t(32,48,28)s(48,8,12)+s(24,16,20)+*
s(16,32,20)c(16,32,12)t(32,16,12)+t(40,24,20)-*
t(24,40,20)t(16,48,12)-t(16,24,12)+s(40,40,12)-
c(16,48,12)c(32,32,20)s(32,40,28)*c(24,48,12)-+
t(32,32,28)t(16,48,12)+s(40,40,28)*c(16,24,12)+
s(32,24,20)c(40,40,20)c(32,40,12)-c(40,24,12)-+
s(40,40,20)s(48,32,12)-s(24,24,20)s(24,32,20)*+
s(16,40,20)t(32,48,28)s(48,48,20)s(8,24,12)+*+
c(40,16,12)s(24,24,20)s(16,24,12)-+s(32,32,28)*
t(32,32,12)c(24,32,20)s(16,24,20)*t(24,24,20)*+
s(24,40,20)s(32,32,20)-t(48,48,12)+c(24,48,12)-
s(32,16,20)t(16,56,12)+c(32,40,20)-t(24,24,20)-
c(24,40,20)c(32,40,12)t(16,48,12)+-s(8,40,12)+
t(24,40,28)c(24,40,20)c(32,40,20)*+s(32,24,20)-
t(48,24,12)c(16,40,12)s(16,24,20)++t(24,24,20)-
t(32,40,28)s(24,40,28)s(8,24,12)-t(24,40,20)--
s(32,16,20)c(32,40,20)t(40,16,12)t(32,40,12)+-+
s(32,40,20)c(16,48,12)-c(40,32,20)*s(48,32,12)+
s(48,24,20)c(24,24,20)s(24,40,28)c(40,24,20)-+-
c(24,40,20)s(24,40,28)t(32,48,28)s(48,40,12)+--
s(40,16,20)s(32,24,20)s(32,32,28)s(40,24,28)**-
s(16,32,20)c(32,32,20)t(32,16,12)--t(40,48,12)+
s(40,24,28)s(16,40,12)+s(48,48,20)s(32,40,28)*+
s(48,40,20)s(40,40,20)*c(32,40,20)t(24,48,28)*-
c(32,32,28)c(16,32,12)t(40,16,12)+-t(48,40,12)-
t(24,32,20)s(16,32,20)*t(24,48,20)+s(32,48,12)-
t(24,24,20)c(48,40,12)+t(40,40,12)t(32,24,20)+-
c(24,40,20)c(24,40,12)-s(24,40,20)*t(32,32,20)+
s(24,40,28)s(24,48,20)-s(48,48,20)-c(48,24,12)+
c(24,40,20)c(16,48,12)-c(32,32,20)*t(40,32,12)-
t(32,32,28)s(32,24,20)+s(24,24,20)s(16,24,20)**
t(40,40,20)t(32,32,28)s(32,24,12)-+s(16,48,20)-
s(40,40,20)s(24,16,20)s(32,32,28)+*s(24,40,12)-
s(40,40,28)t(40,40,12)-c(40,32,20)t(40,32,12)--
s(48,16,12)t(16,56,12)+s(24,40,28)t(40,40,12)-+
s(48,24,20)s(40,32,20)s(48,32,20)*-c(32,40,12)+
t(32,48,20)s(32,40,20)t(24,40,28)**t(40,40,12)+
s(40,24,28)s(48,48,20)-c(40,32,20)s(24,24,28)**
s(32,24,12)t(16,24,12)s(24,48,12)++t(32,40,28)+
s(48,16,20)c(48,16,12)s(40,32,20)+*s(32,16,12)-
t(24,32,12)s(48,16,12)t(40,32,20)+c(40,40,12)++
s(16,32,20)c(32,40,20)s(24,16,12)+*t(32,48,20)+
s(24,48,12)s(24,16,20)s(32,16,20)t(24,16,12)-*+
t(40,24,20)s(24,32,12)+s(24,24,28)s(16,40,20)*+
t(32,48,28)c(40,32,20)s(40,48,12)--s(32,40,12)-
c(40,32,12)t(32,24,20)+t(40,56,12)s(48,32,20)+*
s(24,16,20)t(16,56,12)s(48,40,20)+t(24,32,28)+*
t(32,32,28)c(40,40,20)*s(32,40,20)c(32,24,20)*+
s(8,8,12)t(32,32,28)c(16,32,12)-+s(24,24,20)+
c(40,32,12)s(24,32,20)s(16,32,12)-+s(24,40,28)+
t(32,24,20)t(40,48,12)+c(32,24,20)t(40,40,12)-*
s(24,32,28)s(32,40,28)*s(32,32,28)t(40,48,20)-*
s(8,32,12)c(40,32,12)+s(40,32,28)t(32,48,28)+*
c(32,24,20)s(24,48,20)-t(32,32,28)s(40,24,20)**
t(32,48,28)s(40,40,12)-s(40,40,20)c(32,24,20)*-
s(32,32,28)s(32,24,28)*c(24,16,12)t(40,24,12)+*
c(16,40,12)t(40,24,12)+s(32,32,28)s(32,8,12)+*
s(40,24,28)s(32,24,20)-t(40,32,20)-t(24,32,12)+
s(16,32,20)s(48,24,20)s(8,16,12)+s(40,40,28)--
s(16,24,20)s(32,32,20)s(40,48,20)t(24,48,20)---
s(32,48,20)s(48,40,20)t(40,24,20)-+s(40,24,28)*
s(32,40,20)s(16,16,20)+c(32,32,28)*t(24,24,20)-
t(40,40,20)t(24,32,20)c(32,24,20)*t(40,16,12)+-
s(24,32,20)s(40,16,20)s(24,32,28)s(16,24,12)-+*
s(24,40,28)c(16,16,12)s(24,32,20)+*t(40,32,12)+
s(32,40,20)t(24,48,28)*s(48,40,20)s(32,40,20)*-
s(40,32,28)s(40,40,28)s(24,40,28)*t(24,48,28)**
s(40,16,20)s(40,16,20)c(16,40,12)+s(32,40,28)-+
t(32,40,28)c(24,24,12)+c(48,24,12)+t(32,24,20)*
s(24,48,12)s(24,40,12)s(48,40,20)+c(32,32,20)*+
c(24,40,12)t(40,24,12)+s(48,32,20)+c(40,40,20)+
s(48,16,12)s(48,32,20)t(24,40,28)-s(40,24,20)*+
s(40,40,28)t(32,48,12)-t(40,32,12)-s(16,32,12)+
s(24,32,28)s(24,40,28)*s(16,16,20)+c(40,32,20)*
s(48,40,20)c(24,24,12)s(32,48,12)++s(40,40,28)*
s(32,24,20)c(40,24,20)s(32,40,28)**t(32,56,12)+
c(32,40,20)s(24,32,28)c(40,40,12)-t(32,48,20)-*
s(32,40,28)c(40,40,12)s(24,24,28)+*s(24,16,20)-
c(32,24,20)s(16,40,20)s(16,32,20)*t(40,32,20)--
c(40,40,20)s(48,48,12)s(32,32,20)+s(40,16,12)-*
s(32,32,28)c(32,48,12)c(24,24,12)+s(32,32,20)+*
s(16,24,20)c(24,16,12)-t(40,24,20)c(32,48,12)+-
c(24,40,20)s(24,24,20)-c(40,24,20)t(32,48,28)+*
c(32,16,12)c(48,40,12)s(40,48,20)++s(32,8,12)-
t(40,48,20)s(40,32,28)c(48,32,12)-+t(40,32,20)-
c(32,40,20)t(32,56,12)s(16,40,20)+*t(24,32,12)-
s(8,16,12)s(32,32,28)c(24,24,12)c(48,32,12)+*+
s(32,48,20)t(32,48,28)s(16,24,12)+c(32,32,20)**
t(16,32,12)s(16,48,20)s(8,48,12)-+c(32,32,20)+
c(32,32,20)c(40,40,20)s(48,16,20)++c(24,24,20)*
c(32,40,20)s(48,32,20)s(32,40,20)+*c(32,24,12)-
s(32,40,28)s(48,32,20)s(32,48,12)+t(16,48,12)+*
c(40,32,20)c(16,16,12)s(48,24,12)++s(40,40,20)*
c(24,40,20)c(32,24,20)*s(32,16,20)s(24,24,20)*+
c(40,32,20)s(48,48,20)t(40,56,12)-s(40,40,28)*+
s(40,40,28)t(32,40,28)s(16,40,12)-*s(32,40,20)*
s(8,8,12)t(40,56,12)+t(24,40,28)+s(40,32,28)*
t(24,48,12)s(24,32,20)+s(32,24,28)+s(32,32,28)-
s(40,16,20)t(48,16,12)-s(16,24,12)+t(32,40,28)-
c(16,48,12)s(32,32,20)s(48,32,12)++s(40,32,28)+
c(24,40,20)c(40,32,20)*s(32,32,12)t(24,40,20)+*
t(32,48,12)t(24,40,20)+s(48,16,20)+c(24,32,12)-
c(24,40,20)s(24,32,20)*t(24,40,20)+t(24,32,20)*
s(24,40,28)c(40,40,20)*c(32,40,20)s(24,40,20)**
c(32,32,20)s(32,40,28)*s(24,32,28)+s(40,16,20)*
t(32,40,28)c(24,48,12)-s(16,24,12)+t(48,48,12)-
c(16,48,12)t(48,56,12)s(32,32,28)s(24,32,20)-++
c(32,40,20)s(32,32,28)c(24,24,20)s(8,48,12)+**
s(40,32,28)t(40,16,12)-s(16,24,20)t(40,40,12)+*
t(48,24,12)t(32,32,12)+t(40,32,20)+s(24,40,28)*
s(32,24,28)s(8,16,12)t(24,40,28)t(32,32,28)*+*
s(48,48,20)c(48,32,12)-s(40,24,20)c(32,40,12)++
s(48,24,20)c(32,16,12)-s(16,48,20)s(40,24,28)+*
t(24,32,20)t(16,24,12)-c(16,32,12)+t(32,40,20)-
c(48,24,12)c(24,32,20)s(40,40,28)s(48,32,20)+*+
s(24,32,20)s(24,24,20)s(48,48,12)+*t(24,40,28)*
s(24,48,12)s(32,40,20)t(24,32,28)s(24,48,12)-*+
s(24,32,28)s(32,32,28)t(32,24,20)-*c(16,24,12)-
c(40,32,20)t(24,48,28)+c(48,40,12)-c(32,32,12)-
s(48,48,20)s(48,40,20)t(16,40,12)+*c(32,40,12)-
s(24,40,28)c(32,40,20)s(40,24,20)s(40,32,20)*+*
c(24,24,20)c(24,40,20)c(40,48,12)-s(24,32,12)--
s(24,48,20)s(32,40,28)c(32,32,12)-t(24,40,28)**
s(24,40,28)s(24,24,20)s(48,8,12)+*c(40,32,20)+
s(32,40,28)s(32,24,12)s(32,16,12)+-t(24,40,28)*
c(40,48,12)s(24,24,20)s(24,40,12)-+s(32,32,28)*
t(24,40,20)c(32,24,20)s(16,32,20)*+t(32,40,28)*
s(40,40,20)s(48,16,20)-s(40,48,12)t(16,16,12)++
s(32,24,20)t(24,32,28)c(16,16,12)+*t(32,16,12)-
s(8,48,12)t(32,32,28)t(32,48,20)-+c(40,40,20)*
s(32,24,20)s(24,32,28)s(16,32,20)-s(40,24,28)*-
s(40,24,20)c(16,24,12)+c(40,24,20)s(24,40,28)-+
c(32,24,12)c(24,24,20)s(40,40,28)*+t(32,32,12)-
s(32,16,12)c(40,32,12)+s(40,32,28)s(32,32,28)**
s(40,48,20)s(24,32,28)+s(48,24,20)+t(24,40,20)-
s(40,32,20)s(24,32,28)s(32,24,20)c(24,48,12)+**
t(32,40,28)c(24,32,12)-s(16,40,20)s(16,32,20)+-
t(48,16,12)t(40,56,12)t(32,32,28)++c(32,40,20)*
t(24,32,28)s(40,32,20)s(32,40,20)s(32,32,20)**-
s(24,32,28)s(32,32,20)c(40,32,20)s(48,32,20)--*
s(32,48,12)c(40,48,12)s(24,24,12)++c(24,40,20)*
s(16,40,20)t(24,40,20)*s(16,16,20)+s(40,40,28)-
s(24,24,20)t(32,40,28)-c(40,16,12)-t(32,40,20)+
s(48,16,20)s(40,24,28)c(32,32,28)**t(40,32,20)+
s(40,32,20)c(24,40,20)+c(16,48,12)-t(24,48,28)-
t(32,32,28)s(24,32,20)c(40,32,12)c(24,40,20)+**
c(24,40,20)c(24,24,20)s(16,24,20)*+s(32,48,20)*
s(40,32,20)t(24,48,20)t(24,48,28)s(32,32,28)*+-
c(40,24,20)s(32,32,12)-t(32,40,28)c(24,40,20)*+
s(32,40,28)s(48,40,20)t(24,56,12)s(40,32,28)+**
s(40,48,20)t(24,40,28)s(40,24,20)--c(24,32,12)-
s(48,24,20)s(32,24,20)s(48,16,12)t(48,32,12)+--
s(40,24,28)s(24,32,12)-s(32,32,12)-s(32,24,20)+
s(40,16,20)s(16,48,20)+t(32,40,28)+t(32,24,20)*
c(24,32,20)s(24,40,20)*s(24,16,20)s(48,24,20)--
s(40,48,20)s(40,16,20)+s(40,40,28)t(24,32,12)-*
s(32,32,28)c(48,40,12)-t(24,32,28)*c(32,40,20)*
s(48,24,20)t(24,32,28)-s(48,16,20)*t(32,32,28)-
s(48,24,20)c(32,32,28)*s(32,24,20)s(16,40,20)-*
s(32,40,28)t(32,32,12)-s(48,40,20)*t(32,48,12)+
c(16,48,12)s(32,40,20)+s(16,24,20)-s(24,40,20)*
c(24,24,20)t(40,24,20)t(24,24,12)+-s(24,24,20)*
t(24,48,28)s(16,48,20)t(32,40,28)-t(16,48,12)+*
s(48,24,20)s(32,24,28)*t(24,40,20)t(40,40,20)++
s(32,16,20)s(32,16,12)s(16,48,20)+c(32,32,12)+*
c(32,40,20)s(24,24,20)-t(24,40,28)s(32,40,12)--
s(32,24,28)s(24,40,20)t(24,32,28)*t(48,40,12)+*
s(48,24,20)t(40,24,20)t(32,40,20)++c(40,24,20)*
c(40,32,20)s(24,40,20)+s(32,24,28)-c(24,40,20)*
s(48,48,20)c(24,32,20)s(48,24,20)-s(24,48,12)-+
s(32,48,20)c(24,32,20)c(24,16,12)+s(32,24,20)*+
c(32,24,20)s(32,40,28)s(40,32,12)t(32,48,12)+-+
s(32,40,28)s(48,8,12)s(24,40,28)+*t(24,32,12)-
c(32,32,20)s(24,32,28)t(24,40,12)-*c(40,32,12)-
s(16,32,20)s(16,16,20)s(40,24,28)--s(24,40,28)*
s(16,24,20)c(32,24,20)s(24,24,28)t(48,56,12)+*+
c(40,32,20)s(24,48,20)c(48,40,12)+c(16,24,12)+*
c(40,24,20)c(32,32,20)c(32,24,20)*t(24,40,28)+*
c(40,40,20)s(32,48,20)s(40,40,28)*s(48,48,20)+*
s(24,32,20)s(40,16,12)s(24,32,20)+c(24,24,20)**
s(40,8,12)s(40,48,12)+t(24,40,20)-t(24,48,28)-
t(32,48,20)s(32,24,20)+c(32,48,12)-t(40,32,12)-
s(48,48,20)s(16,48,20)s(40,48,20)-+s(48,48,12)-
c(32,40,20)s(32,32,12)-t(24,40,28)t(24,32,28)*-
c(40,48,12)c(40,24,12)+s(24,40,20)s(32,24,28)*-
t(48,48,12)c(24,32,20)s(40,24,28)*+s(32,16,12)-
s(16,32,20)s(24,16,12)-s(24,32,20)*c(24,24,20)*
t(32,24,20)s(24,24,20)+s(24,48,20)-s(32,32,28)*
s(40,24,28)t(24,48,12)+c(24,48,12)-s(24,24,12)-
s(32,24,12)s(40,32,28)c(32,40,20)*c(24,32,12)-+
s(32,32,20)s(40,32,20)+s(40,24,28)*t(16,56,12)+
c(24,24,12)s(32,40,20)s(24,40,20)s(32,24,12)+*+
c(16,24,12)c(24,32,20)c(24,40,20)*+c(24,24,20)*
s(32,24,28)s(32,16,20)t(16,32,12)+s(32,32,28)*-
s(24,32,28)s(40,32,20)-t(24,48,20)c(16,40,12)+*
s(24,16,20)c(48,24,12)s(40,40,12)s(32,24,12)++-
s(32,24,28)t(32,56,12)s(40,32,28)c(48,24,12)-+-
s(16,48,20)s(40,24,28)+s(8,24,12)+c(32,32,12)-
s(16,16,20)s(40,24,20)s(32,40,28)*t(32,32,28)*+
t(40,40,20)s(40,32,12)c(32,40,12)+*t(16,24,12)+
c(32,24,20)s(24,24,28)t(24,56,12)+*s(32,32,20)+
s(16,40,20)s(16,24,20)s(24,16,12)t(48,56,12)+-*
t(40,56,12)t(48,24,12)+s(32,40,20)+c(40,24,20)+
s(32,32,20)c(24,24,20)c(40,48,12)c(16,40,12)+-*
s(8,48,12)s(24,40,20)+s(32,16,20)+s(40,32,28)*
s(32,40,28)t(32,48,28)*s(16,32,20)-c(32,32,12)-
t(32,48,28)c(24,40,20)*c(32,40,20)t(24,40,28)**
t(24,24,12)c(40,40,20)c(24,48,12)-+s(32,16,20)-
t(24,56,12)s(40,40,12)+t(32,32,28)+c(40,32,20)+
c(16,24,12)s(32,24,28)s(24,40,28)s(40,40,28)+-+
s(40,8,12)s(16,24,20)+c(16,32,12)t(40,24,12)+-
s(16,16,20)c(32,32,28)c(40,40,20)-s(32,32,20)--
s(24,40,20)s(32,24,12)+s(48,24,20)-c(40,40,20)-
s(32,16,20)c(32,24,20)t(24,24,12)-*t(24,32,28)+
s(16,24,20)c(40,32,20)t(48,40,12)s(16,40,12)+--
s(16,48,20)s(16,32,12)-s(16,48,12)-s(40,32,20)+
t(32,32,12)t(48,24,12)+t(24,56,12)+t(16,56,12)-
s(16,24,20)t(16,48,12)t(40,32,12)+s(16,40,12)++
t(40,48,12)c(32,32,12)s(8,40,12)+t(24,40,12)-+
c(40,48,12)t(24,32,28)c(24,40,20)*s(24,32,20)++
t(32,32,28)s(48,24,20)s(24,32,28)s(32,48,20)*+*
c(40,32,20)s(48,40,20)t(48,48,12)s(32,40,12)+-+
s(16,32,12)s(40,32,12)t(40,40,20)++t(16,24,12)-
c(32,16,12)s(40,8,12)s(16,48,20)s(16,40,20)*++
c(32,40,20)t(24,48,12)-t(32,48,28)s(32,40,28)**
t(32,48,12)s(40,24,28)+c(32,32,28)s(24,24,28)-*
t(40,24,20)s(40,24,28)s(24,32,12)-*s(24,40,28)+
s(24,40,28)c(32,32,28)c(40,40,20)s(16,24,20)+*-
s(40,32,28)t(32,48,28)t(40,48,12)-t(32,32,12)--
t(40,32,20)t(24,48,28)t(32,32,28)c(24,32,20)**-
t(40,24,20)s(48,40,12)t(24,32,28)s(8,48,12)-++
c(32,40,20)s(16,40,20)-s(16,32,20)s(16,40,20)*+
t(48,16,12)s(32,48,20)+s(40,16,20)-c(24,40,20)*
s(48,24,20)t(48,40,12)c(32,24,20)s(32,32,12)-++
s(32,40,28)c(24,24,12)-s(16,16,12)+t(48,40,12)-
t(24,48,12)s(32,48,20)t(32,48,28)s(40,32,28)**+
s(40,24,28)c(24,16,12)-s(40,16,12)t(40,56,12)+-
s(40,24,28)c(40,32,20)*t(32,48,20)s(24,40,20)+-
t(24,24,20)s(32,32,20)+t(24,32,20)c(40,24,12)+*
s(40,32,20)c(32,40,12)-s(40,40,28)*s(24,40,20)-
c(24,32,20)s(24,24,28)s(48,48,12)+*t(24,56,12)+
s(48,32,12)s(32,16,20)s(40,48,20)s(24,24,28)-++
s(40,48,20)s(32,40,28)*s(40,32,12)-t(32,48,28)*
t(32,48,20)t(40,56,12)s(24,32,28)s(16,24,12)-+*
c(32,40,20)s(40,48,20)s(40,40,28)s(32,32,12)-**
s(24,32,20)c(24,40,20)t(24,48,28)s(16,32,12)+**
t(32,32,28)s(40,32,28)s(40,16,12)-s(40,24,20)+*
t(40,32,20)t(24,24,20)+c(24,40,20)s(40,32,28)**
t(32,24,12)s(40,40,20)+s(32,24,20)s(8,8,12)+*
c(32,32,28)s(40,24,28)*t(40,40,20)s(8,8,12)+-
s(16,32,12)s(32,40,12)c(48,40,12)++s(40,24,28)*
s(24,40,28)s(24,32,28)*t(32,48,28)t(40,32,12)+*
c(32,40,20)t(32,40,28)c(40,40,12)-t(16,56,12)-*
t(24,40,28)s(24,32,20)*s(24,32,28)t(32,40,28)**
s(48,32,20)s(24,8,12)t(24,32,28)+c(24,40,20)*+
s(48,16,20)c(32,40,20)c(16,40,12)+s(40,32,20)+-
s(32,40,20)s(48,24,20)-s(16,24,12)s(40,8,12)++
s(24,48,20)s(32,32,20)s(40,16,20)t(24,48,12)++*
s(40,24,28)s(40,40,20)c(32,40,20)+t(24,48,28)-*
t(32,32,20)s(8,8,12)+t(32,32,28)*s(48,48,20)+
c(24,32,12)t(24,24,20)+c(16,32,12)+s(16,24,20)*
s(16,40,20)s(48,48,12)+s(8,8,12)+s(24,32,20)*
c(24,32,12)s(40,48,12)+s(32,16,20)c(32,32,20)+*
s(16,40,20)s(24,32,28)c(32,32,20)+*s(24,16,20)-
s(48,24,12)t(32,40,20)+s(32,24,12)-s(24,32,20)-
s(40,40,12)s(40,16,12)+t(48,16,12)-t(32,32,28)*
t(24,32,28)t(32,32,28)t(48,48,12)+*s(32,40,20)*
s(24,48,20)s(16,24,12)+t(24,24,20)c(40,24,12)+-
c(24,32,20)s(40,40,28)*c(48,24,12)+s(24,24,12)-
s(48,32,20)s(40,40,20)c(32,32,28)s(24,40,12)-**
s(40,32,20)s(16,16,12)+s(16,40,20)+c(24,24,20)*
s(16,40,20)t(32,40,28)s(32,32,20)s(48,40,12)-+*
s(40,24,20)s(32,40,20)t(24,48,28)*t(24,56,12)-+
s(8,40,12)s(32,48,20)s(48,48,20)t(24,40,12)+*+
s(48,24,20)s(40,40,28)+c(40,32,20)-t(24,48,20)+
s(40,32,28)c(40,40,20)*c(24,40,20)s(16,16,20)--
s(16,40,20)s(40,32,28)c(40,40,20)s(40,48,20)**-
s(24,32,20)s(48,40,20)c(48,16,12)+c(40,32,20)*+
t(24,40,28)t(24,48,12)-c(32,32,20)*s(40,32,12)+
s(40,40,20)s(48,40,20)*s(40,24,28)t(32,32,28)*+
t(40,24,12)s(40,32,20)t(32,40,12)-t(48,24,12)-+
s(40,24,28)s(16,48,20)+c(48,16,12)-s(40,16,12)+
c(32,32,20)s(48,40,20)s(16,24,12)+s(40,24,20)--
s(40,32,12)s(40,8,12)+t(24,32,28)t(16,40,12)--
s(24,48,20)t(40,56,12)s(24,48,20)s(32,40,12)-+*
c(32,40,12)s(48,40,12)+s(32,24,28)t(16,48,12)+*
t(24,24,12)s(40,24,20)+s(48,48,20)+s(48,16,20)*
t(32,40,28)s(32,32,28)s(40,32,20)c(16,48,12)+**
s(40,32,28)t(40,48,20)+c(24,40,20)*t(24,32,28)*
s(24,16,12)c(40,40,20)s(24,32,12)+c(16,24,12)++
s(32,32,28)c(40,40,12)s(48,24,20)+t(32,32,20)-*
t(32,40,20)s(40,40,28)s(24,32,28)**c(40,32,20)*
c(24,16,12)s(40,40,28)t(32,48,28)c(24,48,12)--+
s(40,32,28)t(24,40,12)-s(32,40,20)+s(32,40,28)-
c(16,32,12)s(32,8,12)+t(24,24,12)-c(16,24,12)-
t(24,40,28)s(16,48,20)*s(32,24,20)+c(24,16,12)-
s(32,40,28)s(16,48,20)-c(48,32,12)-t(32,48,12)+
s(32,16,20)s(24,32,28)*s(48,48,12)+t(16,40,12)+
c(40,24,20)s(16,16,20)c(40,32,20)-s(8,32,12)++
s(48,40,20)t(40,24,20)t(32,48,20)+t(32,32,28)*-
s(32,48,20)c(24,32,12)s(16,40,20)+c(48,48,12)++
s(40,32,28)t(32,48,20)-s(48,32,20)+t(32,24,20)-
s(32,40,28)t(32,24,12)-c(24,24,20)*c(32,24,20)*
s(32,24,20)c(16,16,12)t(32,24,20)+*s(40,24,20)*
t(24,32,28)c(40,40,20)-t(32,40,12)+t(24,40,28)*
c(32,24,20)s(48,8,12)+t(32,48,28)s(16,24,12)+*
s(32,32,20)s(24,16,20)s(32,16,12)-+s(24,40,20)-
s(16,40,20)t(48,24,12)s(40,48,20)t(48,48,12)-++
s(24,32,28)s(24,24,28)t(40,32,20)s(40,16,12)+**
s(24,32,20)c(40,40,20)s(24,40,20)*+s(24,24,12)-
s(32,32,20)t(40,32,12)c(24,24,12)+t(32,16,12)-*
t(24,48,28)c(32,32,20)s(24,24,20)+t(40,40,12)-+
s(40,32,28)t(32,32,28)t(24,48,28)*-c(32,40,20)*
s(16,24,20)t(24,56,12)+t(24,48,12)t(32,40,20)+-
s(16,48,20)t(40,40,20)+s(40,40,20)s(40,24,20)--
c(24,32,20)s(40,8,12)t(16,32,12)t(24,24,20)+++
c(24,32,20)s(24,40,20)t(48,24,12)+*s(16,32,20)*
t(32,40,20)s(24,24,12)-s(40,40,20)s(32,48,20)*+
t(48,32,12)s(24,32,20)t(24,40,12)-+t(32,24,12)-
c(32,32,20)t(32,32,12)-t(32,32,12)t(40,40,20)+-
s(32,24,12)t(24,40,20)+c(32,24,20)*s(24,24,20)*
s(24,24,28)s(48,16,20)s(32,32,28)+*c(32,24,20)+
s(16,32,20)s(48,16,12)+s(40,32,28)*t(40,24,12)-
s(24,32,20)t(40,24,20)-t(40,48,20)-s(16,8,12)+
s(40,24,20)t(40,40,12)+s(32,32,28)s(40,40,28)**
c(40,32,20)s(48,16,20)c(32,40,20)+*s(24,32,28)*
t(24,56,12)s(24,24,20)s(40,48,12)++s(24,32,28)-
s(32,32,20)c(16,32,12)s(32,24,20)+s(40,32,12)-*
s(32,40,12)s(16,32,20)s(48,16,20)+t(16,32,12)-+
t(32,48,28)s(40,40,20)+t(24,48,28)c(32,32,28)*-
s(32,24,28)t(24,16,12)s(40,16,12)s(48,40,12)++-
s(24,24,28)c(24,16,12)s(24,8,12)+s(32,24,28)*-
t(16,48,12)c(32,32,28)s(24,16,20)*s(8,24,12)-+
t(24,24,20)c(32,32,20)c(24,24,20)**s(48,48,12)+
s(8,24,12)t(24,40,12)c(40,24,12)+t(24,48,20)-+
t(40,24,20)t(16,24,12)+s(24,48,20)c(32,32,20)*+
c(48,40,12)s(48,24,20)c(32,32,20)s(16,40,12)+*+
c(24,32,20)c(24,32,20)t(32,40,20)*-c(32,16,12)-
s(32,24,20)t(48,24,12)t(40,48,12)+-s(24,24,12)-
s(40,32,28)c(32,40,20)*t(32,32,28)*t(24,32,28)*
s(40,24,28)t(24,40,28)+s(16,40,12)-s(48,40,12)-
s(48,16,20)c(40,32,20)t(24,48,20)-*t(24,16,12)+
c(24,24,12)s(16,40,20)+t(24,48,28)s(32,48,20)+*
c(16,16,12)t(24,24,20)+t(48,56,12)t(40,24,20)+-
c(24,40,12)c(16,48,12)+t(40,48,20)-s(40,16,20)+
s(40,40,20)s(32,40,28)t(32,48,28)t(24,24,20)-**
t(32,32,12)s(40,16,20)+s(48,8,12)t(48,48,12)+-
s(40,16,20)s(24,16,20)s(24,32,20)*+s(32,32,20)+
s(24,24,28)s(32,16,20)t(32,32,20)-t(32,56,12)+*
s(32,32,28)t(40,32,20)s(32,48,12)--c(16,32,12)-
t(40,40,20)s(24,40,20)+s(48,16,12)+c(24,32,20)*
t(48,48,12)s(24,48,12)+t(40,24,12)t(48,32,12)++
s(40,24,12)t(16,16,12)+s(16,48,20)+s(32,40,12)+
t(32,56,12)c(32,32,20)s(32,32,28)c(16,32,12)-*+
t(24,40,20)s(40,32,20)c(16,16,12)++c(48,32,12)-
t(32,32,20)s(48,24,12)c(24,32,20)s(24,24,20)*++
t(32,32,28)s(16,32,20)s(24,24,12)-t(32,24,12)+*
s(32,24,28)c(40,16,12)-s(32,32,20)s(16,40,20)-+
t(32,48,28)c(32,32,20)*s(32,32,20)t(24,56,12)+*
s(32,24,28)s(24,40,12)-s(40,32,28)t(24,40,28)+*
s(40,40,20)s(24,40,12)+s(32,40,20)*s(32,32,12)-
s(24,16,20)s(32,40,20)+c(24,40,20)*s(24,24,28)*
s(8,8,12)s(16,32,20)+s(40,40,20)c(48,24,12)--
t(40,32,20)c(24,32,20)+c(24,16,12)-t(24,48,28)-
s(32,24,20)s(16,24,20)-t(40,40,20)+c(16,40,12)+
s(24,40,28)s(40,32,28)c(32,32,20)*c(40,24,20)+*
c(40,48,12)s(8,40,12)+c(32,24,20)+s(40,24,28)-
t(24,32,28)c(32,32,20)c(48,48,12)-c(16,40,12)-*
c(32,24,20)s(16,48,20)-c(24,24,12)-t(40,40,20)-
s(24,24,28)s(32,40,28)+t(24,48,20)-c(32,32,28)+
s(24,40,28)t(32,48,28)s(48,40,20)-s(32,48,20)+*
s(40,32,12)s(24,40,20)s(32,48,20)s(48,16,20)+*+
s(48,32,20)t(32,24,20)s(8,48,12)++s(40,16,20)*
s(32,32,28)c(32,24,20)*t(40,48,20)-t(24,40,28)-
s(24,40,28)c(24,24,20)t(32,40,12)-s(24,16,20)++
s(40,24,28)t(32,32,28)*s(40,40,20)*t(24,40,12)-
c(40,32,20)s(24,32,28)+t(32,40,20)-c(24,40,20)+
c(32,24,20)s(48,24,20)+t(24,32,12)-s(24,16,20)*
s(40,48,20)s(40,40,28)s(40,24,20)-c(32,32,20)+*
s(32,32,28)t(32,40,28)s(32,40,28)s(24,24,28)-+*
s(32,40,20)c(24,32,20)*t(32,48,20)s(40,24,20)--
c(24,40,20)c(32,32,28)s(32,32,12)-c(16,16,12)--
s(32,24,28)s(48,40,20)-s(32,40,20)-s(32,16,20)*
c(32,24,20)t(48,16,12)c(40,48,12)+-c(40,48,12)+
s(32,32,28)t(32,40,20)-s(40,16,20)-t(48,48,12)-
t(32,32,12)s(48,16,12)s(16,16,12)++s(24,16,20)-
t(24,48,28)s(8,8,12)+t(24,40,28)s(16,40,20)**
t(24,48,28)s(32,32,12)-t(24,40,12)-c(32,48,12)+
s(40,40,28)s(24,16,20)t(32,40,20)+s(16,16,20)--
t(40,16,12)t(32,16,12)s(16,24,20)++s(40,40,28)-
s(24,24,20)t(24,40,20)-t(24,32,20)c(32,48,12)+-
s(16,24,20)s(48,16,12)+c(24,24,20)*s(16,32,20)*
c(32,32,28)s(32,24,28)c(24,24,20)s(32,32,28)*-*
s(8,40,12)s(24,32,20)+t(32,16,12)+c(24,48,12)-
c(32,24,12)s(24,40,20)c(24,32,20)t(32,32,28)-++
t(32,48,28)c(24,32,20)*s(48,16,12)+s(32,40,28)*
s(48,32,12)c(24,32,12)s(32,40,20)++s(16,32,20)*
s(8,24,12)s(16,32,12)+t(32,24,20)c(24,32,20)*+
s(40,40,20)s(40,32,20)t(32,32,28)c(40,24,20)***
s(48,48,12)c(24,40,20)c(40,40,20)s(16,32,12)+*+
s(40,40,28)t(24,16,12)s(48,40,12)t(16,56,12)++-
c(48,32,12)t(40,32,20)s(24,48,20)t(32,32,12)-++
t(40,40,20)t(24,56,12)s(16,16,12)++c(16,24,12)-
c(16,32,12)s(40,40,28)c(40,48,12)-s(40,40,20)*+
t(32,32,28)s(32,32,28)s(24,24,20)*s(40,16,12)--
s(24,32,20)t(40,40,12)+s(24,40,20)*t(32,40,12)-
c(24,32,20)t(32,56,12)+s(16,40,20)s(16,24,20)+*
c(24,24,20)s(24,24,20)s(32,40,20)--c(24,16,12)-
s(40,32,12)s(40,48,20)+s(24,40,20)s(48,40,20)-+
t(32,32,28)s(16,48,12)s(48,32,20)+c(48,48,12)-*
s(24,24,12)t(40,40,20)+s(8,8,12)+s(24,32,28)*
s(32,40,20)s(24,40,28)t(24,24,12)-s(16,40,12)-*
s(40,48,20)c(32,32,12)-s(40,40,28)s(40,24,28)*-
t(24,48,28)t(40,48,20)-s(32,32,12)s(32,24,12)++
s(24,24,20)c(48,48,12)c(16,32,12)+-s(24,40,20)-
s(48,8,12)t(24,32,28)+c(40,24,12)-t(32,40,28)*
s(16,16,12)c(32,48,12)s(32,32,12)++c(24,40,12)-
t(24,48,28)t(24,32,20)-t(24,40,28)c(48,48,12)-+
t(24,32,28)c(40,32,20)*s(8,8,12)+s(32,32,20)*
s(40,48,12)c(32,24,12)t(24,56,12)s(24,24,12)+++
c(24,48,12)s(16,24,20)+c(40,32,20)+c(32,24,20)*
s(40,24,28)c(16,24,12)c(16,32,12)s(40,40,20)++*
s(8,16,12)t(32,32,20)+t(32,48,20)s(32,40,20)*+
s(24,40,20)t(24,48,28)s(40,32,28)-s(40,40,28)+*
c(24,32,20)s(16,32,20)*t(32,16,12)+c(24,40,20)*
s(16,48,20)s(40,40,20)+t(40,40,12)-t(24,48,12)-
s(24,32,28)s(40,24,28)c(24,24,20)s(16,48,20)-**
c(24,40,20)t(24,40,28)*s(32,24,28)s(24,24,20)--
s(8,8,12)t(24,40,28)t(24,32,28)t(32,24,20)-*+
t(40,40,20)s(24,40,28)c(32,40,12)--s(48,8,12)+
c(24,24,20)c(32,24,20)t(32,32,28)s(32,40,20)--*
c(24,40,20)s(40,32,12)-s(32,32,12)-t(40,32,20)+
s(8,48,12)t(24,48,20)+s(24,32,12)-t(24,40,12)-
t(24,48,20)s(32,32,20)s(40,48,12)-c(16,40,12)-+
c(48,48,12)s(32,48,20)s(16,40,12)-+s(40,32,28)-
s(24,16,20)t(32,40,28)s(48,24,20)+c(24,16,12)++
s(40,8,12)c(32,32,28)c(32,40,20)-c(24,40,20)-+
s(32,24,28)t(48,32,12)-t(32,56,12)+s(40,24,28)*
t(24,48,28)t(32,32,28)-s(40,16,20)+t(40,24,20)*
s(32,32,28)s(32,48,20)t(16,48,12)-*t(24,40,28)*
s(24,40,20)s(24,24,20)-s(40,8,12)+s(8,32,12)+
c(32,24,20)c(32,40,20)t(32,24,20)s(24,40,12)+*-
t(40,32,20)t(24,56,12)+s(24,48,12)s(32,32,20)+*
t(32,40,20)t(40,48,20)t(32,48,28)*t(24,40,20)+*
c(24,40,20)c(32,48,12)-s(32,24,28)+c(32,24,12)-
s(32,32,20)c(48,24,12)c(16,48,12)+-c(40,24,20)*
s(32,16,20)s(32,32,28)*s(16,24,12)+t(24,40,28)-
s(40,40,20)t(40,32,12)-c(32,32,28)s(32,16,20)-*
s(24,40,28)c(40,32,20)s(48,32,20)+t(40,32,12)-*
s(32,24,20)s(24,16,20)s(24,40,12)+t(24,24,20)**
c(40,24,20)t(24,48,28)s(16,40,20)*s(24,24,20)++
s(24,40,28)s(40,40,28)t(24,40,20)+*c(32,24,20)-
s(32,32,28)c(40,40,20)*s(24,32,28)s(48,40,12)+*
t(32,24,20)s(32,40,20)c(24,40,20)*s(32,32,20)*+
c(24,24,20)t(24,48,28)+s(40,24,28)s(48,24,20)-*
c(32,40,20)s(48,24,12)c(40,24,12)+t(40,48,20)+*
t(32,48,28)s(32,32,28)t(32,40,12)-+c(24,40,20)*
s(32,32,28)s(48,16,20)+t(32,40,28)-t(48,16,12)-
s(40,32,20)c(24,32,12)-t(24,40,20)c(32,40,12)+-
s(32,40,20)s(24,32,20)s(40,24,20)+c(32,24,20)**
s(32,16,12)s(48,24,20)+s(40,16,20)s(16,24,20)--
s(16,48,20)s(24,40,28)c(16,16,12)s(24,16,12)+-*
s(24,16,20)c(16,16,12)s(24,16,12)s(40,16,12)++*
s(32,24,28)t(40,40,20)s(48,32,20)+t(48,40,12)-*
t(32,40,28)t(40,24,20)-s(32,48,20)*c(16,40,12)-
c(40,40,20)c(32,40,20)t(32,40,28)*t(24,32,28)*-
s(32,32,28)s(24,24,12)t(16,56,12)+-t(32,40,20)*
c(24,24,20)c(16,24,12)t(24,40,12)+c(32,48,12)+*
t(32,32,28)s(8,40,12)t(24,40,20)+*c(32,24,20)+
c(32,32,20)s(24,16,12)s(32,40,20)c(40,24,20)-+*
s(16,48,20)s(24,32,20)+t(16,56,12)-s(40,32,28)*
t(32,40,28)s(32,24,20)c(24,32,20)*t(32,32,28)**
s(16,32,12)c(40,32,12)+s(40,24,28)+s(24,24,28)*
s(32,32,20)t(24,40,28)+s(32,16,20)-c(32,32,20)*
s(48,24,20)c(24,32,20)-c(32,32,20)+t(32,24,12)-
s(32,24,28)s(40,32,28)+s(40,48,20)t(32,24,20)+*
s(48,24,12)s(24,16,20)c(48,40,12)++s(48,16,20)*
s(48,32,12)c(40,32,20)s(32,24,20)*+s(24,40,12)-
s(40,40,28)s(40,32,28)*t(40,40,20)s(24,32,12)+*
s(40,40,28)t(24,40,28)t(32,32,12)-t(32,40,28)**
c(40,40,12)t(32,32,20)s(32,40,28)c(24,40,20)**+
t(40,32,20)t(24,32,28)+c(24,40,12)s(16,48,12)++
s(16,32,20)c(24,24,20)c(40,32,20)s(16,8,12)++*
s(32,32,12)c(32,48,12)+s(32,48,20)t(40,48,20)*+
t(32,24,20)s(48,40,12)c(24,32,20)+s(32,32,28)**
s(40,16,20)t(24,48,28)s(32,24,28)s(40,40,20)*+-
c(40,32,20)s(48,24,20)c(32,16,12)-s(24,32,12)+*
s(24,24,28)s(16,48,12)c(24,24,20)t(32,32,20)*+*
s(16,32,20)t(24,24,20)t(32,24,12)-s(24,8,12)+-
s(24,24,28)s(40,32,20)*c(24,16,12)-s(24,24,12)+
t(16,40,12)c(32,40,12)s(24,48,12)+s(24,48,20)*+
s(32,24,28)c(32,40,20)*s(40,24,12)-t(32,40,28)*
c(40,16,12)t(16,48,12)s(40,48,20)+s(32,40,20)*+
s(40,8,12)s(32,32,28)+t(32,24,12)-t(32,40,20)*
s(40,40,28)s(40,24,28)*c(24,40,20)c(32,40,20)**
s(32,48,12)t(40,40,20)+s(40,40,12)t(24,40,20)++
s(48,48,20)s(32,32,20)+s(8,40,12)+c(24,24,20)*
c(24,32,20)s(40,24,28)*s(32,40,20)+t(24,24,20)-
s(24,32,28)s(40,32,20)s(40,24,20)*s(16,48,12)+-
s(48,40,20)c(16,32,12)+c(40,40,20)s(24,16,12)+-
s(32,40,28)s(40,40,28)c(32,32,20)t(32,32,20)--*
c(32,32,20)c(40,24,12)t(32,48,20)+c(24,48,12)--
s(24,40,20)t(40,24,20)+t(32,40,28)*s(32,40,20)*
s(32,32,28)t(40,16,12)t(24,48,28)+s(32,16,20)-*
t(32,32,28)t(32,48,28)s(48,40,20)c(40,40,12)-+-
t(48,48,12)s(40,40,28)c(24,24,20)c(16,16,12)-*+
s(24,40,20)s(40,32,28)t(24,32,28)s(24,16,20)-+*
t(32,32,28)s(24,40,28)s(48,32,20)t(40,32,20)*-+
s(16,16,20)s(40,40,20)s(24,40,20)+t(48,40,12)--
t(32,32,20)t(40,40,20)+s(16,32,20)-c(40,24,12)+
t(40,16,12)c(32,40,20)t(32,56,12)-s(8,40,12)++
t(24,32,20)c(24,40,12)+s(32,40,28)s(40,16,20)-*
s(24,40,28)c(24,32,20)*c(40,32,20)c(32,32,20)*-
s(16,48,12)s(40,24,28)+t(40,40,20)t(48,24,12)+*
s(40,32,20)c(24,40,12)-s(24,40,28)s(16,16,20)-+
c(16,40,12)s(24,24,12)+c(24,40,20)*t(24,40,28)*
t(24,32,28)t(48,40,12)s(16,40,20)+s(24,16,20)+*
s(40,24,20)c(32,32,12)+t(48,32,12)-t(24,24,12)-
s(40,32,20)t(32,16,12)-s(40,32,12)t(40,24,20)++
s(24,24,28)c(40,32,20)t(16,24,12)s(32,16,20)++*
s(48,16,20)t(24,32,20)+t(32,32,28)*s(24,24,12)+
c(24,16,12)s(24,40,28)c(32,24,20)+s(40,24,28)*+
c(24,24,20)t(32,48,20)s(40,32,20)c(32,40,12)-+-
s(24,40,20)t(32,24,20)+s(40,32,28)*s(40,24,20)*
t(24,32,12)s(32,24,12)+s(32,16,20)s(16,48,20)+*
s(40,24,28)c(32,24,20)t(24,32,12)-s(24,48,20)-*
s(32,40,28)t(32,48,12)-c(16,40,12)-t(24,40,20)+
c(24,32,12)t(32,40,28)c(40,16,12)t(48,56,12)+-+
s(16,40,20)c(40,24,20)-s(16,48,20)s(40,48,12)+*
s(32,32,28)c(48,32,12)-c(40,32,20)t(32,24,20)+*
s(16,24,20)s(8,40,12)t(40,48,20)++c(40,40,20)-
s(40,16,12)s(24,32,20)+c(16,16,12)-t(32,24,20)-
s(24,32,28)s(32,40,28)s(48,40,20)c(16,16,12)+-*
s(16,16,20)s(40,40,28)s(48,48,20)++s(40,32,28)*
s(40,24,20)c(24,32,20)t(16,32,12)c(48,32,12)+-+
s(32,32,28)c(24,48,12)t(24,24,20)c(32,40,12)-+*
t(32,48,20)s(32,48,20)s(24,48,20)*+s(32,40,12)-
s(24,24,28)c(24,32,20)*s(32,32,28)c(40,24,12)-*
t(32,48,28)s(24,32,28)t(24,24,12)s(16,48,12)+*+
s(48,48,20)s(40,24,20)+s(32,32,12)-c(40,24,20)-
t(16,56,12)s(40,24,28)+t(24,48,20)+c(48,32,12)-
s(24,32,20)s(40,32,20)+s(24,32,28)s(24,48,20)-*
c(32,24,20)s(40,24,28)t(32,32,28)s(32,48,12)--*
s(48,48,20)s(40,32,28)s(24,32,28)-t(40,32,20)++
t(24,32,28)c(24,32,20)c(24,32,12)-s(8,24,12)+*
c(40,24,20)s(32,24,28)*t(32,32,28)c(40,32,20)**
s(48,48,20)t(32,48,20)+c(40,24,20)s(48,16,12)--
s(40,24,28)t(32,48,20)t(40,24,12)s(32,24,12)++*
c(32,40,20)c(48,48,12)-s(32,24,20)c(16,32,12)--
c(24,32,20)c(32,24,20)s(24,48,12)+c(40,24,20)**
s(48,48,20)s(32,48,20)*t(48,16,12)+c(48,16,12)+
s(48,24,20)s(40,24,20)*s(32,24,28)s(40,32,28)**
c(24,24,20)s(24,48,12)t(40,16,12)+c(32,32,12)+*
s(40,32,20)t(24,32,20)-t(32,40,28)+s(24,24,28)+
c(48,40,12)t(32,40,20)+s(40,48,20)*s(40,32,20)*
s(16,24,12)t(40,48,20)+s(48,24,20)c(40,40,20)-+
c(40,16,12)s(8,24,12)+s(32,8,12)-s(40,40,28)-
s(40,24,28)t(40,32,12)-s(32,40,28)-s(48,24,12)-
s(24,40,20)s(48,40,20)t(40,32,20)-+s(32,48,20)*
c(32,24,20)s(24,40,28)s(24,24,20)-c(32,32,20)*-
c(32,40,20)s(24,32,20)t(40,48,20)+*t(32,48,12)-
s(8,24,12)s(8,48,12)+s(24,16,20)c(24,40,12)++
s(48,32,20)s(24,40,20)-s(24,32,12)+s(32,40,28)*
s(24,40,28)s(40,8,12)s(24,40,28)t(24,24,20)*++
t(32,32,20)s(48,48,20)c(40,32,20)s(40,40,28)**-
s(32,24,20)s(24,24,28)t(16,56,12)+c(16,16,12)-*
s(8,24,12)s(32,24,28)s(24,24,28)*t(32,40,28)*+
s(24,48,20)t(40,32,20)s(40,40,28)s(48,32,20)*+-
c(24,48,12)s(24,24,28)s(32,40,28)*s(24,24,20)*+
t(24,48,28)c(48,24,12)t(32,40,20)+t(24,40,28)*+
s(24,8,12)s(32,40,28)+s(24,40,28)s(32,16,20)--
s(24,24,20)s(24,32,28)s(32,16,20)*+t(32,32,28)*
c(48,32,12)t(32,40,28)t(32,48,20)*c(32,40,12)++
s(32,40,28)t(32,48,20)s(32,24,28)+*t(32,40,28)-
c(40,48,12)s(32,24,12)+s(40,48,20)s(48,24,20)+*
t(40,24,12)s(8,24,12)+c(32,40,20)s(48,32,20)*+
s(40,40,28)s(24,24,12)-t(32,48,28)*c(24,32,12)-
c(40,40,20)s(32,40,20)*s(32,48,20)*s(32,24,28)+
s(8,8,12)c(32,40,20)t(40,48,12)t(24,32,28)+*+
s(32,32,28)s(40,32,28)t(16,56,12)+*c(24,40,20)+
s(32,40,28)t(32,32,28)*t(40,16,12)+t(24,48,28)*
s(40,16,20)s(32,16,12)s(48,8,12)+c(32,40,20)--
c(24,32,20)t(40,24,20)s(32,24,20)*-c(16,48,12)+
t(32,32,28)c(32,24,20)c(48,32,12)+*s(16,24,20)-
s(32,48,20)c(40,32,20)s(32,24,28)*t(24,32,20)--
c(16,48,12)s(40,32,28)s(32,24,28)*s(40,16,20)*+
s(16,16,20)c(32,40,20)-s(32,48,20)+t(32,56,12)-
s(32,16,12)s(8,40,12)+s(24,48,12)+t(24,40,20)-
s(32,24,20)s(48,16,20)c(40,24,20)s(16,24,20)+*+
s(16,40,20)s(40,24,20)c(32,16,12)++s(32,48,20)+
s(40,32,20)c(32,32,28)t(32,48,20)s(40,8,12)+*-
t(32,32,28)s(24,40,20)s(32,24,28)t(32,32,20)--*
t(40,48,20)c(32,24,20)c(32,16,12)-c(32,40,12)-+
c(40,24,20)t(32,32,28)*t(24,48,28)s(32,48,20)*-
s(24,32,20)c(32,32,20)t(32,32,20)-c(40,24,20)+*
c(16,32,12)t(32,40,28)+s(40,32,20)*t(32,40,20)+
s(24,24,28)c(32,32,12)-s(32,32,20)s(24,32,20)*-
s(40,40,20)c(48,24,12)t(40,48,20)+*s(40,32,28)*
s(48,24,20)s(40,48,12)c(24,32,20)c(24,48,12)-+-
t(32,32,28)c(48,48,12)-t(24,48,20)t(24,40,28)*-
c(32,40,20)t(24,48,20)s(24,40,20)*c(32,32,20)+*
s(32,16,20)t(48,56,12)+s(8,24,12)s(32,16,20)+*
c(40,32,12)t(32,48,28)+s(16,32,20)-s(16,24,20)+
s(32,16,20)s(32,24,28)s(24,32,20)s(8,48,12)+*-
s(40,24,28)s(32,40,28)t(40,48,12)-t(32,32,12)--
s(48,48,12)s(32,32,20)s(32,48,12)++s(48,48,12)-
c(40,48,12)s(24,24,28)t(32,24,12)-s(40,32,28)*+
t(32,32,28)s(32,48,12)-s(24,24,28)t(40,32,20)+*
s(32,48,12)s(24,32,20)+s(32,40,20)s(24,40,12)--
c(32,32,20)s(24,40,28)*s(32,32,20)*t(32,48,20)-
t(48,56,12)c(40,16,12)+t(32,48,28)t(24,40,28)--
s(16,48,20)s(24,48,20)s(24,32,20)t(48,56,12)+*-
c(32,32,20)s(32,32,28)c(16,16,12)-s(48,40,20)**
t(40,48,20)c(16,32,12)s(32,32,28)s(48,24,20)*+-
c(40,40,20)t(32,24,20)+c(24,32,20)*s(40,24,28)*
t(32,32,28)t(40,32,12)t(24,40,28)+c(32,32,20)**
s(48,48,20)s(40,40,20)+t(32,48,20)-s(24,40,28)-
s(40,40,12)s(40,24,28)c(24,24,20)*c(16,24,12)++
t(32,48,20)s(8,40,12)c(16,24,12)++t(48,32,12)+
c(24,24,12)c(32,40,20)s(40,48,20)*c(24,48,12)-+
t(24,48,28)s(40,32,28)c(24,32,12)-s(24,32,28)-+
c(24,16,12)s(48,32,12)s(48,16,20)+c(48,16,12)-+
s(32,40,28)c(40,40,20)c(40,32,20)s(48,40,12)-*-
c(32,16,12)t(24,48,12)+t(32,48,20)-t(24,24,20)+
c(32,32,28)s(24,48,20)*s(24,16,20)+s(40,32,20)-
s(24,48,12)s(24,24,20)+t(24,32,28)*t(24,32,20)*
s(48,40,12)s(32,32,28)c(24,40,20)*+t(24,32,20)*
s(48,24,20)s(32,32,28)c(48,48,12)-*s(32,48,20)+
t(32,40,28)t(24,40,28)s(40,32,28)*t(32,40,28)*-
s(24,24,28)s(16,24,20)s(40,24,12)+*c(40,32,12)-
c(32,32,20)c(24,40,20)*s(40,24,28)t(24,40,28)--
c(32,32,28)s(32,24,28)s(48,24,20)-*s(40,40,28)+
t(48,48,12)s(40,24,20)s(40,8,12)-+c(48,32,12)-
t(32,24,20)t(32,32,28)c(48,16,12)+s(32,40,12)-*
s(32,40,28)t(32,40,28)s(8,32,12)+*s(32,32,12)-
t(32,32,28)t(40,40,12)-c(24,32,20)*t(32,40,12)-
s(16,48,12)s(24,24,28)+t(24,40,28)*t(32,32,20)-
t(24,40,20)c(32,32,20)*t(16,16,12)c(40,32,12)+-
s(24,40,20)s(16,48,20)+t(24,32,28)*s(40,32,28)*
s(24,40,20)c(24,32,20)t(32,48,28)s(48,24,12)+*-
c(24,40,20)s(48,48,12)+t(24,32,20)c(32,24,20)**
c(32,40,20)s(40,40,20)*s(16,48,20)+t(32,32,28)*
s(48,24,12)t(32,48,28)+s(32,32,12)c(16,24,12)+-
s(32,40,28)t(40,24,20)-s(24,16,20)-t(24,40,12)-
t(24,48,28)s(40,32,20)s(32,24,28)*-t(32,40,28)*
s(32,24,28)s(40,32,20)*t(32,40,28)c(48,32,12)+*
c(32,24,20)s(40,40,20)*s(32,32,28)t(24,40,28)*+
t(32,48,20)c(24,32,20)s(32,24,20)++s(40,16,20)*
s(24,16,20)c(24,40,20)+t(40,48,12)s(40,16,20)+*
s(40,16,20)t(48,40,12)s(40,24,20)t(32,32,12)-+*
t(24,32,28)s(32,48,20)+s(16,40,12)t(40,32,20)+*
s(24,40,28)s(40,32,12)-c(32,32,20)*s(16,24,12)-
c(24,32,20)s(24,48,20)+t(40,48,20)s(40,32,12)+*
s(24,40,20)s(16,24,12)-s(48,24,20)+s(40,8,12)+
t(24,48,28)s(48,48,20)t(40,16,12)+s(40,32,12)--
s(40,32,28)s(16,8,12)s(24,40,12)+-s(40,32,20)*
s(24,32,20)t(24,48,28)c(24,40,20)s(16,40,20)+**
s(48,16,20)t(40,48,20)+c(32,32,20)+s(16,40,20)+
s(24,48,20)s(32,40,20)t(40,24,20)+c(40,24,12)-*
s(40,40,28)t(32,40,20)s(24,32,28)t(32,24,20)*--
c(40,32,20)s(16,48,20)t(24,48,20)*c(16,32,12)+-
s(32,32,28)s(40,24,12)-s(32,40,28)s(48,40,12)-*
c(24,40,20)t(24,48,20)t(24,40,28)s(24,48,20)**-
s(32,48,20)t(40,32,20)s(40,40,28)c(24,32,20)*+-
t(24,48,12)s(24,24,20)t(16,32,12)-+c(24,48,12)-
s(32,24,28)s(24,48,20)s(24,24,20)s(8,16,12)-+*
s(16,48,20)s(16,40,20)t(24,40,20)+t(24,48,28)**
s(32,24,20)s(32,40,28)s(40,24,12)c(24,40,12)+*-
c(32,24,20)s(24,32,20)s(32,16,12)--s(24,16,12)-
s(48,16,12)c(24,32,20)+s(24,8,12)t(24,24,20)+*
s(32,40,28)c(16,24,12)-c(32,32,28)t(24,32,28)--
s(32,24,28)s(24,32,28)t(48,32,12)+*t(24,24,20)*
s(32,48,20)s(40,24,20)-c(40,24,20)-t(16,40,12)+
t(48,32,12)s(40,48,12)t(24,48,20)++t(32,48,28)*
s(32,24,20)t(32,48,28)+c(32,40,20)s(24,32,28)*-
c(40,40,20)t(24,48,12)-c(48,16,12)c(48,40,12)+-
c(24,32,20)s(16,48,20)+c(40,32,12)c(32,16,12)+*
s(48,48,20)t(40,40,20)+s(40,16,20)+s(40,32,28)-
t(32,40,28)c(32,16,12)+c(32,32,20)t(24,32,28)**
s(40,8,12)c(48,16,12)t(24,24,20)++t(32,16,12)-
s(24,40,12)s(48,16,12)+s(40,48,12)+c(32,32,20)*
s(24,32,28)c(32,24,20)c(40,32,20)*-t(24,48,12)-
c(32,32,28)c(32,40,20)s(40,32,28)t(24,40,28)*--
s(32,24,28)t(48,32,12)-c(40,16,12)c(40,40,12)+*
s(40,40,20)s(32,24,28)+c(40,24,20)s(40,32,20)*-
c(32,16,12)s(48,48,12)+t(24,32,28)+c(48,24,12)+
s(16,48,12)c(24,16,12)+t(24,48,12)-s(24,24,28)*
s(32,40,28)s(24,24,20)-s(32,24,20)+s(32,24,28)*
c(40,48,12)t(24,40,20)+t(24,24,20)t(48,48,12)+-
s(24,40,20)t(32,24,12)-t(24,48,28)*s(16,32,20)+
s(24,40,28)s(32,32,28)c(32,40,20)**c(24,40,12)-
s(32,40,28)s(16,48,12)t(40,48,20)t(48,24,12)++*
t(24,48,28)s(40,16,20)s(32,16,20)*t(40,24,12)-+
s(32,48,20)s(40,32,28)*s(48,48,20)t(40,48,20)-+
c(24,24,20)s(24,40,28)s(40,8,12)+c(32,40,12)-+
s(24,32,12)c(24,32,20)c(16,32,12)-t(40,40,12)-+
c(24,24,12)c(48,40,12)+t(24,32,20)t(48,40,12)+*
s(24,32,20)s(24,48,12)+t(32,40,20)*t(24,56,12)+
t(40,32,12)t(32,32,12)s(8,8,12)++t(24,32,20)-
s(40,40,20)c(40,40,20)t(40,24,20)-+s(32,24,12)-
s(48,40,20)s(32,24,28)t(40,56,12)c(32,32,12)+*-
s(40,24,28)c(24,24,20)+s(32,32,28)s(40,24,28)--
t(24,32,28)c(24,24,20)*t(40,32,20)-c(16,32,12)+
s(40,48,20)s(24,40,28)c(24,32,12)-*s(32,16,12)+
s(24,48,20)s(16,40,12)s(16,16,12)c(32,16,12)++-
c(24,32,20)t(40,40,20)+s(48,40,12)-c(24,24,20)*
s(24,16,20)s(32,16,20)s(32,32,28)*t(24,48,12)+*
t(24,40,12)c(32,48,12)+s(40,32,20)s(32,24,28)*-
s(24,24,20)c(40,32,12)-s(16,32,20)+s(32,32,20)*
s(32,32,20)s(32,48,20)+t(24,48,20)-s(24,32,20)*
s(24,40,28)s(40,40,28)t(24,32,12)-*s(32,32,20)*
c(48,16,12)s(48,48,20)+t(16,24,12)+s(40,24,20)*
s(16,16,20)t(24,32,28)+c(40,24,20)*c(24,48,12)+
t(24,56,12)s(48,40,20)+t(40,40,20)-s(48,24,20)+
t(40,24,20)s(24,40,28)+s(40,32,12)-t(32,48,28)-
s(32,40,28)t(24,32,20)-c(40,40,20)*t(24,48,28)-
c(32,32,20)s(48,48,12)+c(16,16,12)+t(32,48,20)-
s(24,40,20)c(24,40,12)-t(40,24,20)+t(40,24,12)-
s(32,40,20)s(48,48,12)-s(24,24,28)c(32,24,12)-+
c(32,32,28)s(32,8,12)s(48,40,20)c(40,24,20)-+*
t(32,40,28)s(48,48,12)-c(32,32,20)*s(32,40,20)*
s(24,32,28)c(32,24,20)+s(40,24,28)*s(48,16,20)*
c(40,32,20)t(24,40,20)t(40,40,12)+*c(16,24,12)-
s(40,16,20)s(24,16,12)+t(24,24,20)s(40,32,12)+*
t(24,32,20)c(32,24,20)s(24,32,28)*t(32,16,12)-*
s(48,40,20)t(40,32,20)+c(40,24,20)*s(48,16,12)-
s(24,32,28)t(24,16,12)s(40,32,20)+-s(32,8,12)+
c(40,32,20)t(24,40,20)-c(32,40,20)s(16,24,20)-*
s(16,24,20)c(40,32,12)+s(40,32,20)t(48,40,12)-+
c(24,40,20)c(40,32,12)-s(32,48,12)-s(32,24,12)+
s(16,40,20)s(24,32,20)+t(40,16,12)c(48,16,12)++
s(48,48,20)s(40,40,28)s(40,32,28)t(48,16,12)-**
s(32,16,20)s(40,24,20)*t(24,48,28)s(16,32,20)-+
s(24,24,28)c(24,32,20)s(40,40,12)-s(24,24,12)--
s(48,24,20)s(24,16,20)c(32,32,20)s(8,24,12)++-
s(32,48,20)t(48,16,12)+t(24,32,20)+s(32,48,20)-
s(32,48,20)t(24,40,12)-s(32,32,28)s(32,40,12)--
s(32,40,28)c(40,40,20)*t(16,32,12)+c(32,24,12)-
s(24,24,20)s(32,48,20)+s(40,24,28)*t(32,24,12)-
t(32,48,28)s(40,24,20)s(16,40,12)+s(32,16,12)--
s(40,48,20)t(40,32,20)-s(16,32,20)+t(24,40,28)*
s(24,32,20)t(32,32,20)*s(8,16,12)+t(40,24,20)+
s(24,40,28)t(32,40,28)*t(32,40,12)-s(40,16,20)-
s(48,24,20)s(24,16,20)s(40,8,12)+-c(40,32,20)*
c(24,24,20)s(32,48,12)+t(48,48,12)t(24,48,20)+-
c(32,40,20)c(32,16,12)s(40,40,12)t(16,40,12)++-
c(16,48,12)t(32,32,20)+s(32,24,28)*s(40,24,12)-
s(32,40,20)s(24,16,20)-s(48,48,20)+s(8,16,12)+
s(24,24,20)t(32,40,20)s(48,48,12)-s(32,48,20)++
s(32,24,20)s(16,40,12)+c(16,48,12)-t(24,24,20)*
s(16,40,20)s(32,40,28)s(24,48,20)*+s(32,32,20)*
s(48,40,20)s(24,40,28)t(24,48,28)*+t(40,32,20)*
c(32,32,20)t(24,16,12)-s(32,32,20)*c(40,48,12)+
c(16,32,12)s(24,16,20)+s(32,32,28)*s(16,40,12)-
t(32,40,20)c(40,32,20)s(24,32,28)s(32,40,28)***
t(32,48,28)c(32,32,28)*c(24,32,20)s(32,24,20)*-
s(8,40,12)c(40,40,20)s(40,32,20)*c(32,40,20)*+
c(32,40,12)c(24,24,20)s(40,16,20)t(32,48,28)+-+
c(32,32,20)c(24,40,20)*s(40,32,28)*s(40,48,12)-
t(40,16,12)c(16,16,12)+s(32,32,20)t(40,32,20)-+
s(48,48,20)t(32,16,12)+s(24,16,12)t(24,56,12)+-
t(24,40,28)c(40,24,12)t(32,48,28)+s(32,40,20)*-
s(24,24,28)s(48,24,12)+c(48,32,12)t(16,24,12)+*
t(32,40,28)s(16,40,20)*c(16,16,12)+s(24,32,20)*
c(40,32,20)c(24,32,12)-s(48,32,12)-s(40,32,20)+
t(32,40,28)s(40,32,28)s(40,16,20)*t(40,40,12)+*
t(24,32,28)t(24,40,28)c(40,48,12)t(40,56,12)+-*
t(32,48,20)s(16,40,20)s(32,48,12)-+s(24,24,12)-
s(16,48,20)s(32,24,12)+t(32,32,20)-s(16,32,20)-
s(40,24,28)c(24,32,20)t(40,24,20)t(40,32,12)+--
c(24,32,20)s(8,8,12)t(24,32,20)t(48,40,12)++*
t(40,40,20)t(32,40,28)*s(16,32,20)+t(32,24,20)-
s(40,16,12)c(32,40,20)s(24,48,20)++s(32,40,28)*
s(40,16,20)s(16,16,20)t(48,16,12)s(32,16,20)+*-
s(40,32,28)c(40,16,12)s(8,16,12)++s(16,48,12)+
c(24,40,20)t(48,24,12)t(48,48,12)s(32,32,12)++-
t(32,32,28)s(40,48,20)s(40,24,28)s(32,32,28)*+*
s(24,40,28)t(40,48,20)-s(24,40,28)s(40,24,28)**
t(32,48,12)c(32,24,20)t(16,24,12)-+c(48,40,12)-
s(48,24,20)c(32,32,20)+s(32,48,12)s(40,32,20)+-
t(40,40,20)t(24,16,12)+t(24,48,20)-t(16,24,12)+
s(32,40,28)s(40,40,28)s(32,32,20)-+s(48,24,20)-
s(24,24,20)c(16,24,12)s(48,48,20)s(40,32,28)++*
s(16,48,20)c(24,32,20)t(32,32,28)s(24,24,20)*--
s(24,40,20)s(32,32,20)c(24,32,20)t(48,48,12)+**
c(24,40,20)t(24,40,28)c(32,32,28)s(40,32,12)-**
s(24,32,12)s(48,32,20)s(40,16,20)-+s(48,40,20)*
s(24,32,20)c(32,32,20)*s(40,32,28)t(24,40,28)**
c(40,40,20)s(48,16,20)s(32,16,20)*-s(24,40,28)*
s(16,32,20)s(8,24,12)-c(40,16,12)+t(32,40,20)-
s(8,16,12)s(32,32,12)s(48,24,20)+s(32,24,20)-+
s(32,32,20)s(32,48,12)s(48,32,20)s(32,32,28)*+*
s(32,32,28)s(24,32,28)*c(40,16,12)-t(40,24,20)-
c(48,40,12)c(24,24,20)c(40,16,12)-t(48,16,12)++
c(32,40,20)s(40,32,12)-s(32,16,20)-c(24,24,20)-
s(40,40,28)c(32,40,20)s(32,24,28)*c(24,24,20)**
s(24,40,28)t(32,32,28)s(24,32,28)+s(40,48,20)-+
s(16,32,20)c(40,32,12)+c(24,32,20)*s(40,24,12)-
s(24,32,20)s(32,24,20)s(16,24,12)+*s(16,16,20)+
c(16,40,12)s(32,24,28)c(40,32,20)c(24,32,20)-++
t(40,24,12)t(16,48,12)t(32,24,12)+s(24,32,20)++
s(40,24,28)s(32,32,28)c(32,32,20)s(24,40,28)+**
s(16,40,20)t(32,48,28)+s(40,24,20)c(32,24,20)*-
t(24,40,28)s(16,48,20)*s(32,24,20)s(40,40,12)--
s(40,24,20)t(16,16,12)+s(16,48,20)+t(40,40,20)-
t(24,56,12)s(32,16,20)+c(40,24,20)*s(48,40,20)-
c(40,32,20)s(40,16,20)+c(32,24,20)-t(16,40,12)+
s(8,24,12)s(24,32,20)+c(24,40,20)*s(40,32,28)*
t(16,40,12)s(24,16,20)s(24,32,20)*+s(40,24,20)-
s(32,24,28)t(24,16,12)-c(32,24,20)*c(32,24,12)-
s(32,32,20)c(40,24,20)c(32,32,20)s(32,48,20)-*-
s(40,24,20)s(40,40,28)t(32,32,28)+*s(32,16,12)-
c(24,40,12)s(32,24,12)+s(32,48,12)-s(48,32,20)-
t(24,48,28)s(16,40,20)c(16,24,12)s(32,40,20)+*-
t(40,24,20)s(48,32,12)+s(40,40,28)s(48,48,20)*-
c(32,40,20)s(16,32,20)-c(32,16,12)+c(40,32,20)*
s(24,48,20)s(32,48,20)s(8,24,12)+*c(24,40,20)*
s(40,32,20)s(48,16,12)-c(40,24,20)*s(48,24,12)-
c(32,32,20)c(40,32,20)+s(8,40,12)s(16,24,12)+-
s(40,32,28)s(32,32,28)t(24,24,12)-+s(32,24,28)*
s(24,40,28)s(16,48,20)c(32,40,20)*-c(40,40,12)-
s(40,40,28)t(24,40,28)t(32,40,20)-t(32,48,28)+*
s(40,24,28)s(24,16,20)s(48,24,20)+*c(40,40,20)-
t(40,48,20)t(24,40,28)s(24,32,12)-+c(24,24,12)+
c(24,32,12)s(16,8,12)+c(16,40,12)s(32,24,20)+*
c(32,32,20)s(24,24,28)s(32,32,28)**t(40,40,20)-
s(16,24,20)t(24,24,20)*s(48,24,12)+s(24,8,12)-
t(32,32,28)c(32,40,20)c(40,40,20)*c(40,32,20)*+
s(40,32,28)c(24,48,12)-s(16,16,20)-c(40,24,12)-
s(24,32,28)s(16,40,12)s(32,32,12)+c(48,32,12)+-
s(24,24,20)c(24,32,20)s(24,48,20)-*c(40,48,12)+
s(16,48,20)s(24,32,28)s(32,24,28)t(24,48,28)--+
s(32,8,12)c(16,16,12)c(48,40,12)++s(16,32,20)-
t(32,32,28)s(32,40,20)s(24,40,20)*c(32,32,20)*-
c(32,32,28)c(24,32,20)t(48,16,12)t(32,32,28)+*-
s(48,32,20)c(32,24,12)t(32,40,28)c(40,32,20)*+-
s(8,8,12)s(32,32,28)s(48,24,20)-s(32,32,12)-+
s(8,24,12)s(8,48,12)+s(24,40,20)-t(24,16,12)+
t(24,48,20)s(24,8,12)+t(16,24,12)s(16,48,20)++
c(40,24,20)s(32,32,28)c(40,32,20)**t(32,32,20)*
c(24,32,20)t(40,48,20)s(40,32,28)s(40,24,28)*+*
c(40,48,12)c(24,40,20)+s(32,24,28)*s(40,40,12)-
s(24,40,28)s(16,24,20)+s(24,24,28)*c(32,24,20)*
c(16,40,12)t(24,48,28)s(24,40,28)c(40,32,20)-*+
s(24,48,20)c(40,24,20)-t(32,32,28)+c(40,16,12)+
c(24,40,20)s(40,32,12)-c(48,24,12)+c(40,32,20)*
s(32,32,20)c(16,16,12)t(32,48,20)+s(24,48,20)+*
s(16,32,20)t(32,40,28)-t(40,56,12)+t(24,40,28)+
c(32,40,20)s(24,24,12)-c(40,32,20)*c(24,40,20)*
t(24,48,20)s(40,32,20)c(24,32,20)s(32,40,20)---
c(32,40,12)s(32,32,28)c(24,40,20)c(40,40,12)-*+
s(24,24,20)c(32,40,12)s(48,24,20)+-t(24,32,28)*
s(32,16,20)s(48,16,20)c(32,32,28)+s(16,32,12)-*
s(48,40,20)s(32,40,28)c(24,40,20)*+c(16,48,12)-
c(32,24,20)s(40,40,20)t(32,40,28)*s(48,48,12)--
c(40,16,12)c(48,24,12)+c(16,32,12)+c(24,24,20)*
s(48,16,12)s(32,48,20)c(32,32,20)s(40,32,28)**+
t(24,40,12)t(32,24,12)+t(24,56,12)+s(32,48,12)+
s(40,8,12)c(40,32,20)t(32,40,12)-+c(24,32,12)-
c(40,40,20)t(32,40,28)t(24,48,12)s(32,40,12)+-*
s(16,24,12)c(32,32,20)c(32,24,20)*t(16,32,12)-+
s(32,32,20)c(32,40,20)s(24,40,28)s(8,24,12)-**
s(48,48,20)s(24,48,20)t(48,24,12)+s(40,32,20)++
s(24,40,20)s(16,48,12)t(32,56,12)t(40,56,12)++-
s(32,40,28)s(40,40,20)s(24,24,28)--s(40,32,28)*
c(40,32,20)c(32,32,20)s(24,32,28)*+s(40,16,20)*
c(32,24,12)c(48,32,12)+s(24,16,20)t(40,16,12)+-
s(48,40,20)s(8,40,12)+c(40,40,20)s(48,32,20)--
s(40,40,20)s(32,24,28)s(16,24,12)-*s(8,32,12)+
c(24,40,20)c(40,40,20)c(40,24,20)t(40,40,12)--*
c(40,32,20)s(40,16,20)*t(24,16,12)-s(16,24,20)+
c(40,40,12)s(24,32,28)c(40,32,12)-+c(32,40,20)*
s(32,40,20)t(24,40,20)*t(40,40,20)+s(32,16,12)+
s(8,48,12)s(40,40,28)t(32,48,28)*+c(24,32,20)*
s(40,32,20)s(24,32,20)t(32,40,20)+s(32,24,12)--
s(48,48,20)s(40,32,28)s(32,40,20)-s(48,48,12)--
s(40,32,20)t(24,32,20)-c(40,32,20)c(24,40,20)-*
c(32,32,20)s(16,48,20)s(40,24,28)+s(40,32,28)**
t(32,40,20)s(24,24,20)s(16,16,20)s(24,40,12)+*+
c(32,24,20)c(24,32,20)t(32,48,12)-*s(40,24,20)*
s(32,16,20)s(24,32,28)t(24,48,28)*+t(40,16,12)-
t(32,48,20)c(32,24,20)t(24,16,12)-s(32,24,12)--
c(32,32,28)s(32,48,20)-s(24,32,28)s(16,16,12)-*
s(32,40,28)s(32,32,28)s(40,32,28)*t(40,16,12)--
s(32,32,28)s(32,32,20)t(24,48,28)c(24,32,20)*--
s(24,32,20)s(24,40,20)s(32,32,20)*s(24,48,20)+*
c(24,40,20)s(40,32,20)*s(16,16,12)+s(48,24,20)+
s(24,16,12)c(40,40,20)s(40,32,12)-+s(32,32,20)*
s(48,48,12)s(16,48,12)+s(40,24,20)t(40,40,12)+-
s(48,16,20)s(32,32,20)t(32,40,28)*+c(40,16,12)-
s(40,48,20)s(32,16,20)+t(24,32,28)c(40,48,12)-*
c(48,32,12)t(24,32,28)+s(8,32,12)-t(32,24,20)*
c(32,32,20)c(40,24,20)*s(24,24,12)-s(40,40,28)*
s(40,16,20)s(40,32,28)t(24,24,12)s(48,40,20)+*-
t(32,24,20)c(16,24,12)s(48,48,20)t(32,48,28)*+-
s(24,24,20)c(32,24,20)s(16,32,12)c(24,16,12)+-+
s(24,32,28)s(16,16,20)c(24,32,20)+s(32,16,20)**
s(16,16,20)t(24,32,20)+c(40,40,20)s(32,16,20)-+
t(16,56,12)s(24,32,28)+s(32,24,28)*s(16,24,20)+
t(24,40,12)t(48,40,12)+c(48,32,12)+t(40,24,12)+
c(32,40,20)s(48,24,20)-c(40,48,12)t(32,40,20)+*
s(16,8,12)t(32,40,12)+t(24,32,20)t(32,40,12)-+
t(16,32,12)t(32,24,20)t(40,32,12)-+t(24,16,12)-
t(32,40,28)t(40,48,20)*s(24,8,12)+s(40,48,20)*
s(24,32,12)t(40,56,12)t(24,16,12)++s(40,40,20)+
c(48,32,12)t(24,24,20)+t(32,32,28)+s(24,24,28)*
c(40,40,20)t(24,48,28)s(40,48,12)+t(16,56,12)-*
t(24,32,28)s(40,32,28)+s(48,40,20)s(24,40,20)-*
c(32,24,20)t(24,32,28)s(24,40,20)c(24,24,20)+**
t(32,40,28)c(16,40,12)t(48,48,12)+*s(48,48,12)+
s(40,40,28)s(24,40,12)-t(32,24,12)c(16,40,12)++
c(32,40,20)c(48,32,12)-s(32,32,28)t(24,32,28)*+
s(32,24,28)c(40,24,20)*t(24,40,12)+s(24,24,20)-
t(32,32,28)s(32,40,20)*t(40,56,12)+s(40,32,20)*
s(40,24,28)s(24,32,28)*t(24,24,20)s(24,40,20)+*
t(32,48,28)s(32,48,12)s(16,24,12)+-c(32,40,20)*
s(32,16,20)s(24,40,28)-t(32,32,20)+s(16,16,20)+
s(40,16,20)s(40,32,28)t(32,32,28)+c(48,48,12)-*
s(24,32,20)s(16,24,20)c(24,32,20)**s(40,24,20)+
c(24,32,20)t(40,24,12)-t(24,32,28)s(16,24,12)--
c(32,32,28)s(16,16,12)s(24,40,20)s(24,32,12)-+*
c(24,32,20)s(40,40,20)s(48,48,20)-s(24,32,12)+*
s(40,32,20)s(32,40,20)*t(32,32,28)c(32,24,12)-+
s(32,16,20)t(24,40,28)c(24,24,20)s(32,24,12)---
s(32,40,20)s(40,40,28)t(32,48,28)*s(48,48,12)-*
s(24,40,28)c(24,40,20)t(16,24,12)--s(48,24,12)-
s(24,16,20)s(48,40,20)+s(24,24,20)t(32,40,28)-*
s(32,40,28)s(8,32,12)c(24,40,20)+c(32,32,12)-+
s(40,24,20)s(32,32,28)*s(24,48,20)t(40,24,20)+*
s(48,32,20)s(48,40,12)s(48,8,12)+t(48,32,12)+-
s(24,24,20)s(24,32,20)s(24,48,12)-+c(24,32,20)*
s(24,32,28)s(40,40,20)*s(40,40,28)t(40,24,12)-*
c(24,40,20)c(40,24,12)-t(24,40,12)-s(32,40,20)+
s(8,32,12)t(24,24,20)t(24,48,12)++s(24,32,20)*
t(32,40,28)s(40,8,12)+t(24,48,12)t(24,24,20)+*
s(48,24,12)s(32,40,20)s(32,32,20)*+c(48,32,12)-
c(32,40,20)s(24,32,28)c(40,48,12)-+s(16,40,12)-
s(8,8,12)c(24,40,20)s(24,24,12)-+t(48,16,12)+
s(24,32,28)s(40,40,20)+t(40,24,20)c(40,40,12)--
s(24,32,28)t(24,40,12)c(40,48,12)+-c(32,24,20)*
c(40,32,20)c(40,24,20)*c(40,24,12)t(40,56,12)+*
s(16,24,20)t(24,32,28)*c(16,32,12)t(24,40,28)+*
s(16,40,20)c(32,32,28)s(8,48,12)s(32,40,28)+**
s(16,40,20)s(16,16,12)c(32,40,20)c(32,24,20)*+-
s(8,16,12)c(40,40,12)+c(40,24,20)+t(24,32,28)*
s(32,48,20)t(16,48,12)+s(24,24,28)t(32,56,12)++
t(40,40,12)t(40,24,20)s(40,40,28)s(24,8,12)+*+
s(32,40,28)s(40,16,20)-s(32,40,12)-c(48,40,12)-
t(24,32,28)s(40,24,20)t(32,16,12)--t(48,56,12)+
c(40,32,20)s(8,8,12)+s(24,40,28)*s(32,24,28)*
s(40,32,12)t(24,24,12)+s(48,16,12)+c(32,40,20)*
c(40,24,20)s(40,32,28)t(24,40,28)s(32,32,28)*--
s(48,48,20)s(40,32,28)*s(40,24,28)+t(32,40,20)-
s(32,24,28)t(24,32,28)c(24,40,20)*-s(24,24,12)-
c(32,24,20)t(48,24,12)s(32,48,20)c(24,32,20)++*
s(32,24,28)s(24,32,20)*s(24,40,28)t(32,32,20)--
s(32,16,20)s(40,32,20)s(32,16,20)-+t(40,32,20)-
s(48,40,20)s(24,32,20)t(32,32,28)s(40,32,28)**-
s(16,32,20)c(24,40,20)t(32,56,12)-t(40,32,12)-*
c(32,32,28)c(40,32,20)t(24,32,20)--s(16,24,20)+
t(24,40,28)s(24,32,20)s(16,32,20)*+s(32,48,20)*
c(32,24,20)s(16,24,12)c(32,48,12)+-s(24,8,12)+
c(32,24,12)s(40,32,28)s(48,40,12)c(48,16,12)+*+
s(24,40,28)s(16,40,12)c(32,32,12)+-t(32,48,12)-
c(24,24,20)s(32,16,20)t(32,32,20)c(40,24,20)*+*
s(40,32,28)c(24,40,12)t(48,40,12)+-t(40,32,20)-
t(24,48,20)c(40,16,12)s(16,48,12)++c(24,40,12)-
t(32,24,12)s(40,32,28)s(32,32,20)s(24,40,20)**+
s(48,24,20)s(16,24,20)t(24,40,20)+t(32,48,28)-+
c(32,40,20)s(24,48,20)t(24,40,20)*c(32,16,12)+-
s(32,40,20)t(24,48,20)s(24,24,28)-t(32,16,12)+-
s(40,24,28)s(24,24,12)c(40,24,12)+*c(24,16,12)+
t(32,32,20)s(40,24,20)s(24,32,20)c(32,40,12)-+*
s(24,8,12)t(16,56,12)+s(40,24,12)+c(40,32,12)+
s(16,32,20)c(32,32,28)s(32,24,12)s(24,48,20)+**
t(24,32,28)s(24,24,28)*c(24,48,12)+t(32,48,28)*
s(16,24,20)t(40,56,12)+s(32,24,28)s(40,40,20)+*
s(40,24,20)c(32,24,20)t(24,32,12)-c(24,24,12)+*
s(24,40,28)s(40,40,28)+c(16,40,12)c(32,32,20)+*
s(32,24,28)s(48,16,20)*s(48,48,20)c(32,40,12)-+
c(24,32,12)s(24,40,28)s(16,8,12)c(16,32,12)+*+
c(24,32,20)s(48,32,12)s(16,32,12)t(32,32,28)++*
s(40,40,12)s(40,48,20)t(24,16,12)+t(40,32,12)-+
t(24,40,28)s(48,40,20)s(24,32,28)-+t(48,40,12)-
s(24,40,28)s(16,16,20)s(40,48,20)s(24,48,20)*++
c(40,40,20)t(40,40,20)-t(24,32,20)-c(16,32,12)+
s(32,40,20)s(16,32,20)c(32,24,20)s(32,40,28)-+-
c(24,40,20)s(40,48,12)-t(24,40,20)*s(40,48,12)+
s(32,40,20)t(32,40,28)s(24,16,20)-*t(24,32,20)+
s(16,24,20)t(40,40,20)+s(32,48,20)-c(32,16,12)-
s(48,16,20)s(24,32,20)+s(40,40,20)c(16,32,12)+*
t(16,16,12)s(32,40,20)+s(32,24,12)-c(40,40,12)-
t(24,40,28)c(40,32,12)-s(40,32,28)-s(16,48,20)+
c(32,24,20)t(40,24,12)-s(40,24,20)-s(16,48,20)+
t(24,32,20)s(40,40,20)s(40,32,20)*+s(32,24,20)-
s(16,16,20)s(24,24,28)s(16,32,20)s(40,24,20)--*
s(16,32,20)s(24,24,28)+s(40,16,20)-c(24,32,12)-
s(40,40,20)t(32,40,12)-t(40,40,12)+s(32,48,12)+
c(48,48,12)s(40,24,20)t(32,40,20)++s(16,24,20)-
c(24,24,20)s(16,32,20)t(24,32,28)s(24,24,20)-+-
t(32,48,28)s(24,32,28)s(16,16,20)-s(24,40,20)**
t(24,48,28)s(8,48,12)t(24,48,20)+*s(32,32,12)-
s(24,24,28)s(24,32,28)c(32,32,20)**s(40,24,28)*
s(48,16,20)s(32,24,28)*s(40,24,20)*c(16,24,12)+
s(24,40,28)t(40,48,12)-t(24,24,20)s(32,24,12)+*
c(40,24,12)s(32,16,12)s(32,40,20)+t(24,48,28)*+
s(32,32,20)c(16,24,12)c(32,32,12)t(16,16,12)++*
s(40,32,20)s(48,32,20)s(40,40,28)*+c(40,40,20)*
s(40,24,12)t(24,40,28)s(32,32,28)*c(32,32,20)*+
s(24,40,28)s(16,40,20)-s(32,16,20)-c(32,32,28)*
s(24,16,12)s(24,24,20)s(24,32,20)*+c(32,32,20)*
s(48,40,20)s(40,40,20)t(24,32,12)t(40,32,20)+*-
t(40,24,12)t(32,48,28)s(24,40,20)*+s(24,24,12)+
t(40,40,20)t(40,48,20)c(40,40,20)s(32,40,20)*+*
c(40,48,12)t(24,40,28)s(24,24,20)*+s(24,32,28)*
s(8,24,12)s(32,16,12)+t(32,40,12)+s(32,24,12)-
s(32,32,20)s(16,48,20)-c(24,32,20)t(40,48,20)-+
s(32,40,20)s(32,24,28)s(16,32,20)t(24,32,28)**-
c(24,40,20)s(40,40,28)*t(40,32,20)-c(40,32,20)+
s(24,32,12)t(24,48,28)t(24,32,28)s(32,24,28)+*+
t(24,40,28)s(32,24,12)-s(8,32,12)+t(24,40,28)*
s(32,40,28)c(32,24,20)t(24,24,20)--c(24,24,20)*
s(48,48,20)s(40,40,20)s(32,24,12)-t(24,16,12)++
s(32,40,28)t(40,24,12)-s(32,32,20)*s(48,16,20)+
s(32,40,12)c(24,24,20)s(24,24,20)s(40,16,20)--+
s(40,32,28)t(32,16,12)-t(40,32,20)s(16,48,20)+*
s(48,32,20)s(24,32,28)-s(48,40,20)+t(24,24,12)+
s(32,32,20)s(16,48,12)s(32,32,28)s(24,16,12)-+*
s(24,32,20)s(8,24,12)+s(8,16,12)-s(24,40,28)*
s(40,40,28)t(24,48,20)c(32,48,12)+t(32,40,28)**
s(32,24,28)s(40,24,28)*s(48,40,12)-t(32,48,28)-
s(48,24,20)t(32,24,12)-t(32,48,12)+c(40,40,12)-
s(48,48,12)s(40,16,12)t(32,32,28)++t(32,48,28)*
t(40,48,20)t(24,40,28)c(32,32,28)t(24,48,20)-+*
s(16,40,20)t(24,24,20)s(48,40,20)--t(24,48,28)*
s(40,40,28)c(32,40,20)t(16,56,12)+*s(40,32,12)-
s(32,24,12)c(40,24,20)t(24,56,12)s(24,40,20)+-+
s(48,32,20)s(48,32,12)t(32,48,20)+*c(16,48,12)+
s(40,24,20)s(48,40,20)+c(32,40,20)c(32,24,20)**
s(24,48,20)s(24,32,20)s(48,16,12)t(40,48,12)++-
s(24,32,20)s(32,32,12)s(48,40,20)+s(16,16,20)+*
s(40,40,20)t(32,16,12)s(32,40,12)+-s(16,32,12)+
c(24,40,20)s(24,24,28)t(32,32,28)**c(16,48,12)+
t(32,32,28)c(16,48,12)c(24,24,20)+*s(24,32,20)*
c(24,40,20)s(48,48,20)t(32,32,28)-s(40,48,12)-+
s(16,48,12)c(24,24,12)+s(40,48,12)s(32,16,12)+-
c(40,40,20)s(8,32,12)t(32,40,28)c(40,32,12)-+*
s(24,24,20)c(40,32,12)+t(32,48,20)+c(32,32,20)*
s(24,40,28)c(40,40,20)c(40,32,20)*-c(24,40,20)*
s(32,32,28)c(32,16,12)c(48,40,12)+t(40,24,20)+-
c(32,24,20)s(32,32,20)s(24,48,12)+*s(32,48,12)-
t(16,32,12)s(32,24,28)s(32,16,12)-s(24,32,20)-+
c(32,32,28)c(24,40,12)-s(40,24,28)s(40,40,28)**
s(40,24,28)s(40,32,28)*t(24,32,28)*t(32,32,20)*
c(24,24,20)t(24,48,12)s(24,24,28)+s(40,40,28)**
t(16,32,12)c(48,32,12)s(40,8,12)++s(40,32,28)*
t(32,32,28)s(48,16,20)c(40,32,20)*c(16,32,12)+*
c(32,32,12)c(40,48,12)+s(24,32,20)+s(24,48,20)-
t(24,32,28)c(24,32,20)s(8,24,12)s(40,32,20)+*-
s(8,48,12)s(48,40,20)c(16,32,12)+t(16,32,12)-+
s(24,32,20)s(48,16,20)c(16,48,12)+t(40,24,20)--
c(40,32,20)t(16,48,12)c(48,40,12)+s(32,24,28)--
c(32,24,20)s(40,24,20)*t(24,48,28)-c(32,32,12)-
s(16,24,20)s(24,24,28)s(40,24,28)+c(24,40,20)-*
s(48,24,20)c(32,32,20)+s(32,16,20)s(8,16,12)+*
c(32,32,20)s(32,16,20)t(16,32,12)c(32,32,12)++*
s(48,48,20)t(40,24,20)+s(24,32,28)s(32,24,20)*+
s(48,24,12)s(8,48,12)+s(32,32,28)t(32,32,12)-+
s(24,32,28)c(16,32,12)-s(40,24,28)*s(40,32,20)*
t(40,48,12)s(40,16,12)s(24,32,20)s(24,48,20)-++
s(16,48,12)s(40,40,28)t(24,40,28)*+c(24,16,12)+
s(32,24,12)c(40,48,12)+s(32,16,12)-c(24,40,12)-
s(40,32,20)t(32,48,20)+c(40,24,12)-t(24,48,28)*
c(24,40,12)s(16,40,20)s(24,40,20)*s(32,40,12)-+
s(32,40,28)s(16,40,12)c(24,24,12)+*t(40,40,20)+
s(24,40,20)s(32,32,20)c(16,32,12)t(40,40,12)++*
t(32,56,12)s(48,24,20)+c(40,40,20)-t(32,48,28)-
s(8,24,12)c(32,24,20)c(40,32,20)s(24,40,20)*-+
s(24,32,28)s(48,32,20)t(48,24,12)-t(40,24,20)+-
s(40,40,28)t(32,48,12)-t(32,32,20)s(32,16,20)+*
s(32,16,12)c(24,32,12)+s(16,24,20)t(24,24,20)*+
s(16,16,12)c(40,24,12)t(40,56,12)s(48,16,12)+++
c(40,32,12)s(40,40,20)s(48,48,12)-+c(32,48,12)-
s(40,32,28)t(24,24,20)-s(40,40,28)*s(32,48,20)*
c(24,16,12)t(32,40,20)s(16,48,12)++c(24,24,12)-
s(40,32,28)t(32,48,28)c(32,40,20)*s(24,32,28)*-
s(32,16,12)t(40,32,12)+s(24,32,12)+s(32,40,12)-
s(32,24,20)c(24,40,20)s(32,40,20)*s(16,32,20)+*
s(40,40,28)s(16,24,20)-s(32,24,12)s(48,48,12)+*
t(24,32,20)t(40,40,12)+s(8,32,12)-s(40,24,28)*
t(32,40,20)s(24,24,20)s(32,32,28)c(24,32,20)*+*
c(24,40,20)s(16,32,20)*t(32,24,12)-s(32,24,12)+
s(40,40,20)c(40,24,12)s(8,24,12)+s(24,24,12)+-
c(16,40,12)s(48,24,20)+s(24,24,20)-s(24,48,20)-
t(24,56,12)s(48,40,20)+t(32,40,28)t(24,40,28)*-
s(32,24,20)c(24,48,12)s(16,16,20)++c(40,16,12)-
c(40,40,20)s(32,40,28)s(40,40,28)*+c(32,32,20)*
t(16,48,12)s(24,32,28)s(32,24,28)*+s(24,40,20)*
s(24,16,20)c(32,24,20)s(32,32,20)+*t(40,24,20)+
s(32,32,28)s(24,40,20)*s(24,32,20)*t(24,40,28)*
c(24,24,12)s(48,48,20)+s(24,32,20)s(32,24,28)**
c(40,40,20)s(32,48,20)*t(16,16,12)+s(24,24,28)*
c(40,32,20)s(32,40,20)s(24,24,12)+c(32,32,20)**
s(48,32,20)t(32,32,28)s(32,32,20)s(32,24,20)**-
c(40,24,20)s(48,48,20)-t(40,24,20)t(24,48,28)+*
s(16,48,12)s(16,16,20)+t(24,24,12)s(40,24,12)+-
s(24,32,20)s(32,40,28)*s(40,16,20)s(32,40,20)+*
s(48,48,20)t(24,48,28)-c(32,32,28)*t(32,24,20)+
s(48,32,20)c(32,24,20)s(24,32,20)s(8,8,12)+*-
s(24,24,28)s(40,24,28)c(24,32,20)s(48,8,12)+**
s(40,40,28)t(24,48,12)-s(48,40,20)*c(32,24,12)+
t(32,32,28)s(16,48,20)-c(24,40,20)+s(40,32,20)*
s(16,40,20)t(32,32,20)+t(40,48,12)s(32,24,28)+*
c(16,48,12)s(16,24,20)t(40,32,20)t(32,32,20)+-+
c(40,32,20)c(32,40,20)s(24,16,20)-*s(40,16,20)-
s(8,24,12)c(24,24,20)c(32,24,12)-+c(24,32,20)*
s(8,40,12)s(32,48,12)+s(16,8,12)t(16,40,12)+-
s(8,16,12)s(24,24,20)s(32,48,20)-+t(32,32,28)*
s(40,32,20)t(24,24,20)-s(16,48,20)s(16,16,20)+-
s(48,32,20)s(16,48,20)s(24,48,20)++s(40,24,20)*
c(40,32,20)s(40,8,12)c(40,32,20)c(24,40,12)-+*
s(32,16,20)s(8,40,12)+c(16,40,12)+t(24,32,28)*
t(32,32,28)s(24,32,20)s(32,16,20)-s(24,32,12)+-
c(24,24,20)t(40,40,12)+c(24,32,20)s(16,32,20)**
s(48,40,20)s(40,48,12)-s(16,24,12)+s(48,40,20)*
c(16,16,12)c(40,32,12)+t(40,24,20)+s(16,24,20)*
s(32,16,20)s(48,48,20)s(32,32,28)t(24,32,28)*+-
s(24,32,20)t(24,32,28)s(32,40,20)*s(32,16,20)+*
s(24,32,28)s(40,24,12)-c(24,40,20)+c(32,48,12)-
t(24,48,28)s(32,40,20)s(32,24,20)s(40,40,20)--*
c(24,40,20)s(24,24,28)s(16,40,12)-*s(16,32,20)+
s(32,40,28)t(16,40,12)-c(24,24,12)c(32,32,12)+-
s(40,32,20)t(48,56,12)t(32,24,20)c(16,16,12)-+-
s(16,8,12)s(32,40,28)+c(32,48,12)-t(32,48,28)*
t(40,24,20)c(24,40,20)c(32,32,20)s(48,16,20)--+
c(40,24,20)t(40,24,12)-t(40,40,12)-c(32,24,12)-
s(40,40,20)s(48,40,20)c(32,40,20)*c(24,24,12)+*
c(40,32,20)t(32,16,12)c(16,24,12)+-s(24,40,20)-
s(32,32,20)s(24,24,28)c(32,24,20)*t(16,56,12)+*
s(48,24,20)s(40,24,28)c(32,24,12)-c(32,16,12)-*
c(32,32,28)s(16,16,20)s(32,24,20)c(48,24,12)-+-
c(32,24,20)s(32,40,28)t(16,32,12)-*s(24,32,28)*
c(24,32,20)s(40,40,20)*s(24,16,20)+s(32,24,28)*
s(24,48,20)c(24,32,20)+c(40,24,20)s(48,48,20)+*
c(40,24,20)c(32,24,20)c(24,16,12)-s(32,24,20)**
s(32,24,28)t(24,48,20)c(40,16,12)+-c(24,32,20)*
t(32,48,12)t(24,32,28)c(32,40,20)*s(24,24,28)*+
s(32,32,28)s(48,40,20)s(48,32,20)*c(40,32,12)+*
c(24,24,20)c(24,32,20)s(24,24,28)s(40,16,20)*+*
s(40,32,20)s(24,24,12)s(8,24,12)++c(32,24,20)*
c(24,40,12)t(40,24,12)+s(32,32,28)c(32,40,20)**
s(16,24,20)c(24,32,20)s(40,32,20)*s(8,24,12)+*
s(16,8,12)s(24,16,20)t(24,32,28)*+c(24,32,12)+
t(32,48,28)t(16,40,12)c(16,48,12)+-s(24,32,28)*
c(16,16,12)c(40,40,20)+s(48,48,20)s(40,32,20)-+
t(32,40,20)c(16,24,12)s(16,48,12)+-s(16,16,20)+
t(24,32,20)s(48,32,20)c(40,40,12)+t(32,32,28)*-
t(40,16,12)c(48,16,12)+s(40,32,20)s(24,40,28)*-
s(16,40,12)s(24,40,20)c(24,40,20)t(32,48,20)*-+
s(48,16,20)s(24,24,28)t(24,32,28)--c(40,24,12)-
c(40,32,20)s(48,16,12)-t(16,32,12)+t(24,40,28)*
s(8,40,12)s(24,32,20)c(32,32,20)s(40,24,20)--+
t(48,40,12)s(48,8,12)+c(16,32,12)+t(16,48,12)+
t(24,48,28)s(40,48,20)c(32,32,20)*-s(24,16,20)+
s(16,32,12)s(40,40,20)+c(24,32,20)c(32,48,12)+*
s(24,32,20)s(40,24,20)s(40,32,20)*c(40,40,12)+-
s(24,32,20)s(24,16,20)s(40,40,28)s(8,48,12)++*
s(40,32,28)s(48,16,20)s(32,8,12)+t(24,48,12)+-
t(24,48,28)s(32,16,20)t(48,16,12)++s(32,40,20)-
s(8,16,12)s(40,32,12)t(16,32,12)+s(16,40,12)++
s(24,40,28)c(40,40,20)+s(48,40,12)-s(40,24,20)-
s(40,24,20)c(32,32,12)s(8,48,12)++c(24,48,12)+
t(24,24,12)s(16,48,12)+s(32,16,20)+s(8,24,12)+
s(40,32,28)s(24,40,28)-s(8,32,12)s(40,48,20)+-
s(24,40,28)c(40,40,20)s(8,48,12)+t(48,32,12)-*
s(16,48,12)c(40,32,20)+c(24,32,20)*s(16,32,20)-
c(24,48,12)s(24,16,12)+c(16,24,12)+s(32,32,28)+
t(24,32,20)c(32,32,28)s(40,40,12)-s(40,32,20)-+
s(24,24,28)s(32,32,28)s(32,48,20)-*c(16,24,12)-
c(32,40,12)t(40,48,20)+c(32,40,20)*t(16,48,12)+
t(24,32,28)c(24,24,20)s(16,32,20)c(32,32,28)***
s(8,40,12)t(32,40,12)c(24,40,12)++s(16,48,20)+
s(24,24,28)s(32,24,28)t(24,32,28)+s(40,32,20)**
s(40,16,20)s(24,40,28)-s(24,24,20)+c(32,24,20)*
t(24,32,28)t(24,40,20)+t(40,24,12)+s(48,16,20)-
c(40,40,20)s(40,32,28)c(32,24,20)+s(40,40,12)-*
c(24,24,20)t(32,32,28)c(40,40,20)*c(16,16,12)+-
c(32,32,28)s(24,16,20)s(32,24,28)+c(40,32,12)-+
s(40,48,20)t(24,40,28)-s(16,40,12)+t(24,56,12)+
t(32,40,20)s(48,40,12)-s(48,24,20)+s(24,16,20)-
s(32,16,20)c(32,32,20)c(24,32,20)*s(40,32,20)+*
s(32,40,28)t(24,24,20)-c(40,40,20)s(24,24,20)--
t(40,32,20)t(32,32,12)+c(48,16,12)+t(32,40,28)-
t(32,32,28)t(24,48,20)+s(24,40,12)-t(24,48,28)-
c(32,40,20)c(48,16,12)+s(32,16,20)t(32,48,20)+-
s(32,16,20)s(48,32,20)+s(32,32,20)*c(24,32,20)*
s(24,40,12)c(16,40,12)s(24,24,20)+t(32,24,20)-+
s(24,32,28)s(24,24,28)*t(32,32,28)*s(32,40,20)*
c(32,32,20)t(48,40,12)-s(48,16,20)-s(32,24,28)*
s(40,40,28)s(24,32,28)*t(24,48,12)-s(16,32,12)-
s(40,48,20)c(40,40,12)-s(40,40,28)*c(40,16,12)+
s(16,40,20)t(16,16,12)t(48,40,12)++s(24,48,12)-
t(32,32,28)c(24,32,20)s(32,32,20)-s(48,48,20)++
s(32,24,20)s(24,32,20)s(40,24,20)-c(40,40,12)--
s(40,32,20)s(40,40,20)s(32,32,28)*s(48,48,12)--
s(24,24,28)s(40,32,28)*c(40,24,20)c(48,32,12)-*
t(24,32,28)s(40,40,28)+s(16,32,20)s(32,16,12)+*
s(24,32,28)s(32,24,20)s(24,48,20)+s(32,40,20)*-
s(32,16,20)s(16,48,20)+t(24,32,28)+s(24,40,20)-
c(48,40,12)s(24,40,20)+s(32,32,12)t(32,48,20)+-
c(32,32,20)c(32,40,20)*t(40,40,20)c(40,24,12)--
t(32,32,20)t(40,40,20)+s(24,32,12)-c(40,24,20)+
c(40,32,20)c(32,16,12)-t(40,24,20)s(24,32,20)+*
t(40,48,20)c(32,24,20)t(16,48,12)t(40,24,12)+--
c(32,24,20)s(16,48,12)s(48,16,12)+s(32,40,28)+*
s(32,40,28)s(40,32,28)c(48,24,12)-*s(16,24,20)+
t(24,32,28)s(32,24,28)t(24,32,12)-t(40,40,20)-*
s(32,40,28)t(40,24,20)s(24,24,28)+s(48,16,20)*+
t(32,24,20)s(24,32,28)*c(40,24,20)t(40,48,20)-*
s(24,24,20)c(32,32,28)s(48,16,20)-s(48,40,20)-*
t(24,48,28)c(16,32,12)+c(40,40,20)*c(24,24,20)+
c(40,40,20)t(32,40,20)s(32,32,28)c(48,48,12)-*-
s(32,16,20)c(32,32,20)s(32,16,12)-s(40,40,20)*-
s(32,48,12)c(24,32,12)s(16,24,20)s(40,32,20)-++
s(48,24,20)s(48,8,12)-t(24,16,12)s(24,24,12)++
t(24,32,28)c(32,24,12)c(48,16,12)+s(40,40,28)+-
s(32,40,20)s(24,24,28)t(32,24,12)--c(32,24,12)+
s(24,40,28)s(40,24,28)-c(40,16,12)+c(32,40,20)*
s(24,32,28)s(32,16,12)s(16,24,20)+-s(40,32,28)*
s(40,32,20)t(24,48,12)c(40,32,12)+t(48,40,12)-+
s(32,24,20)c(40,40,20)s(32,32,20)*-s(32,32,28)*
s(8,48,12)s(48,16,12)+t(32,40,28)t(32,48,28)+-
s(24,40,28)c(40,40,20)s(40,40,28)t(48,24,12)-*-
s(32,32,12)t(40,32,20)s(40,24,20)c(24,16,12)+*+
s(24,16,12)t(24,24,20)s(32,32,12)c(24,24,12)+*+
t(32,40,28)t(32,24,20)-s(32,48,20)s(16,48,12)-*
t(48,32,12)c(24,40,20)+s(16,40,20)*s(32,16,20)-
s(24,48,20)t(24,48,28)c(24,32,20)*+c(16,32,12)-
c(40,24,20)s(24,24,28)c(32,40,20)c(40,24,20)-+-
s(24,40,20)s(48,8,12)c(40,40,20)c(32,48,12)-+-
c(48,16,12)s(24,40,20)+t(40,40,20)+c(40,40,20)*
s(24,40,28)s(40,48,20)-c(24,48,12)+s(40,24,20)-
s(40,24,28)s(40,32,20)-s(40,24,20)-c(32,40,20)-
s(32,32,12)c(48,24,12)c(32,24,20)c(32,40,12)-++
s(32,40,20)c(32,32,12)s(16,48,12)+s(24,32,20)*-
t(24,48,28)s(32,32,28)c(40,16,12)-t(24,48,12)-*
c(24,48,12)s(40,32,12)+s(32,32,28)*t(40,56,12)+
s(32,16,20)t(32,32,28)t(24,24,12)-+s(24,32,12)-
c(32,32,20)s(24,40,28)*t(48,32,12)c(40,16,12)++
t(48,48,12)s(40,24,20)+c(40,40,20)c(32,48,12)-+
c(40,24,20)s(32,24,28)*s(24,32,28)*s(24,32,20)*
s(32,24,20)t(24,24,20)+s(24,48,20)c(32,32,20)*-
s(40,40,20)c(48,16,12)+c(40,40,20)t(48,40,12)-*
s(32,40,28)s(40,32,28)s(40,24,12)-c(40,40,20)*-
s(24,24,28)s(40,24,28)c(48,24,12)-*s(48,40,12)+
s(24,24,28)t(24,48,28)-c(16,40,12)s(48,8,12)+-
s(16,32,20)s(32,40,28)*s(32,16,20)c(32,32,12)--
s(24,32,20)s(48,40,20)s(24,32,28)s(40,32,28)+*-
t(32,40,28)s(24,24,28)c(24,40,20)s(40,32,20)+**
t(16,24,12)t(24,48,28)+t(32,40,20)c(24,32,20)*-
s(24,8,12)t(24,32,28)+s(24,32,20)*s(40,40,28)*
t(48,40,12)s(24,24,28)s(24,16,20)t(32,24,12)-*+
s(40,32,20)s(24,24,12)+c(24,24,20)c(32,24,20)**
t(48,48,12)s(48,24,20)+s(40,16,20)t(32,24,20)+-
s(24,16,20)c(40,24,12)-c(32,32,28)*t(24,24,20)+
c(40,32,20)s(40,40,28)s(24,24,28)*-s(40,40,28)*
s(48,16,20)s(32,24,28)*t(32,32,20)s(16,48,20)--
c(16,24,12)s(40,32,20)s(48,8,12)++s(24,40,28)*
c(32,32,28)s(16,48,12)-t(32,40,28)-c(32,32,20)*
s(32,32,20)c(32,32,20)t(24,32,12)-s(24,32,20)*-
t(24,32,28)s(16,16,20)-s(16,24,12)c(40,32,12)+-
t(48,16,12)t(48,48,12)+s(48,24,20)c(32,32,20)++
s(48,24,20)s(48,16,20)*s(8,16,12)t(24,32,12)++
s(16,24,20)s(40,24,20)c(24,32,12)+-s(16,24,12)+
s(32,24,28)c(40,24,20)s(40,24,12)--t(32,32,28)-
t(32,32,28)c(32,32,20)*t(16,40,12)-c(24,40,12)-
s(48,32,12)s(40,24,12)c(16,48,12)++s(40,48,20)-
s(32,32,28)s(16,40,20)s(32,32,28)s(48,32,20)*+-
s(24,40,28)s(32,32,28)+c(16,32,12)s(40,40,28)+*
c(32,40,12)s(48,24,20)+s(40,32,28)*s(40,24,20)*
t(24,48,20)s(48,32,20)+s(40,48,20)s(32,40,28)**
s(32,48,20)s(24,24,12)s(24,48,20)+t(32,40,20)*-
s(48,16,20)c(40,16,12)s(24,48,12)++s(32,24,28)*
s(32,40,28)s(24,40,28)t(24,32,28)-*t(24,40,20)+
c(32,32,28)t(40,48,20)-t(24,40,28)*t(32,32,12)-
s(40,40,20)s(40,32,20)*s(40,24,12)+s(48,16,12)-
t(32,24,20)c(32,24,20)s(32,40,20)*+c(24,40,20)*
s(40,24,28)s(32,32,28)t(48,40,12)-s(32,24,20)**
t(48,40,12)s(24,16,20)+s(32,32,20)t(24,24,20)--
c(32,40,20)s(16,32,20)-t(40,32,20)t(48,40,12)+-
s(32,40,20)t(24,40,28)s(8,8,12)+*s(40,32,12)-
t(32,40,28)t(16,48,12)-s(16,48,12)+t(24,40,20)-
s(40,32,28)s(16,8,12)t(24,32,28)+s(24,24,28)**
s(24,40,28)t(16,32,12)-c(48,32,12)+c(24,32,20)-
c(24,24,20)s(24,40,28)*s(16,32,20)*s(32,24,28)*
t(48,40,12)s(48,32,20)s(40,24,28)s(32,40,20)-*+
t(24,32,28)t(24,40,20)+t(40,16,12)+s(32,40,28)*
s(16,32,20)t(48,24,12)c(16,32,12)++s(16,24,20)*
c(24,24,12)s(48,32,20)+s(40,40,28)c(32,32,20)--
c(32,32,12)t(16,32,12)+c(40,32,20)s(32,32,20)**
s(32,48,20)t(40,32,12)+s(40,24,28)-c(40,24,20)+
s(40,32,28)c(24,32,20)s(32,24,28)**t(24,24,12)-
t(24,56,12)s(48,48,20)c(32,32,12)-+s(40,40,28)*
c(24,48,12)t(48,48,12)+s(16,16,12)+t(24,24,20)-
c(32,32,28)t(32,48,28)s(40,24,20)+c(32,40,12)-*
s(32,32,20)t(24,40,28)s(48,40,20)s(32,32,20)--*
t(32,40,28)t(32,24,20)s(40,24,20)*s(16,40,20)++
c(24,40,20)c(24,24,20)s(40,16,20)c(32,32,28)*-+
s(16,16,20)s(8,40,12)s(16,24,20)+s(8,48,12)-*
s(24,32,20)s(24,40,20)*s(24,32,28)s(24,48,20)**
t(32,40,28)s(40,40,28)c(40,24,20)*s(16,32,20)--
t(24,32,28)s(8,48,12)-s(24,40,20)+s(16,40,20)+
t(32,48,28)s(24,48,20)t(40,24,12)+*s(40,40,12)-
t(32,40,12)s(48,32,20)s(8,48,12)t(32,32,28)+-+
t(24,40,20)c(32,32,28)s(48,40,20)*+s(32,32,28)*
s(24,32,28)s(40,40,12)-c(24,40,20)+t(32,40,28)*
c(24,40,12)s(16,32,12)+s(16,40,20)t(32,40,28)-+
t(24,40,28)s(8,40,12)-t(40,40,12)t(40,32,12)+-
c(32,32,28)s(24,48,20)t(32,48,20)*-s(48,16,20)*
c(32,40,20)s(24,24,28)+c(40,24,20)s(48,24,20)--
s(40,16,12)s(24,24,12)+s(40,32,28)*t(40,16,12)+
s(40,24,20)c(40,48,12)c(32,24,20)+*c(32,32,20)*
c(40,40,20)s(8,32,12)s(16,24,12)++s(24,40,20)*
c(40,40,12)t(32,24,20)+c(32,32,20)c(24,32,20)**
s(32,40,20)s(24,32,28)c(40,40,20)s(8,16,12)+**
s(40,40,28)t(32,40,28)c(24,40,20)s(24,48,20)---
c(24,40,20)c(32,32,28)t(32,32,20)-*s(32,40,28)*
s(16,32,20)s(40,32,28)c(32,32,12)--s(24,32,12)-
s(16,16,12)t(24,48,20)+s(32,32,20)-s(16,40,20)+
s(32,32,20)s(16,40,20)+s(16,32,20)*c(32,48,12)+
c(24,24,20)s(24,32,28)*s(32,24,20)*t(24,32,28)*
s(40,24,28)s(40,16,12)s(32,40,12)t(16,40,12)++*
c(32,40,20)t(32,32,28)+s(32,24,20)*s(32,40,28)*
s(40,40,28)s(32,40,28)t(32,24,20)s(8,24,12)++*
s(32,24,20)c(32,40,12)-s(40,24,28)s(48,32,12)-*
c(48,32,12)s(24,32,20)+c(32,24,20)*t(32,32,20)*
s(32,32,28)t(24,24,12)t(24,56,12)s(48,40,12)++*
s(32,32,28)s(24,24,20)t(24,40,20)c(16,24,12)--+
t(24,48,28)c(24,32,12)s(40,24,28)s(48,32,20)*+-
t(32,48,20)s(40,32,28)t(24,48,28)-s(40,16,20)--
s(32,32,12)t(48,24,12)+c(24,24,20)+s(32,24,28)*
s(24,16,20)s(32,16,20)s(40,32,12)+s(40,24,28)**
s(32,16,20)t(16,48,12)s(16,32,12)c(16,16,12)++-
s(40,24,12)s(24,40,28)t(32,48,28)*+s(24,48,20)*
s(24,32,20)s(40,16,20)-s(24,24,28)*s(24,24,20)*
s(32,32,28)t(40,48,20)-t(16,40,12)s(24,32,12)+-
c(24,32,20)c(24,24,20)*c(32,32,20)s(40,24,20)+*
t(48,16,12)s(24,40,20)s(48,48,20)-s(16,32,20)*+
t(40,48,12)t(24,32,28)+s(24,32,12)-c(40,32,20)*
s(32,48,20)c(48,24,12)t(48,40,12)+-t(48,56,12)+
t(32,48,28)c(40,24,20)t(16,56,12)+s(24,16,20)--
s(32,40,28)t(24,32,12)-c(40,40,20)*t(48,24,12)+
c(24,40,20)s(32,24,28)-c(24,40,12)-t(40,24,12)+
s(32,16,20)s(40,16,20)c(40,24,20)s(24,32,12)-**
s(40,24,28)t(32,32,28)*s(16,40,20)s(8,24,12)--
s(40,40,28)s(32,40,12)-s(32,48,12)s(32,24,28)+*
c(24,32,20)t(24,48,12)-t(40,32,12)-t(24,24,12)-
s(32,32,28)s(24,16,20)-s(40,24,28)*s(40,32,20)*
s(48,40,12)t(24,48,28)+s(16,24,20)s(32,48,12)+*
c(40,40,12)s(32,32,20)s(40,32,20)*+t(32,40,12)-
s(24,32,20)c(32,16,12)-s(16,48,12)-s(48,24,20)-
s(40,24,20)t(24,40,28)-t(40,56,12)t(40,32,20)++
c(48,48,12)s(40,32,20)s(40,16,20)*c(24,24,12)++
t(32,48,28)t(24,48,20)s(24,24,20)t(24,40,28)*+*
s(32,40,28)c(24,24,20)*t(40,24,12)-s(32,48,12)-
c(32,32,28)s(32,40,12)-s(32,16,20)*s(24,8,12)+
s(40,24,20)s(24,24,20)+s(8,8,12)+s(40,32,20)*
s(24,40,28)s(40,32,28)*c(24,24,20)s(32,48,12)+*
c(32,24,20)t(32,40,28)t(40,40,12)--s(32,32,28)*
s(32,24,28)s(32,48,20)s(40,24,20)-c(40,32,12)+*
t(32,48,28)s(24,32,28)+t(24,32,28)s(32,16,20)--
s(8,40,12)s(24,32,28)s(24,40,20)-+s(32,32,12)+
s(8,40,12)s(24,40,12)t(24,32,20)+c(16,16,12)-+
c(40,32,20)s(24,32,20)-c(24,16,12)t(32,48,12)++
t(24,40,28)s(24,48,12)c(48,24,12)+c(32,32,20)*+
s(40,40,28)t(32,32,28)+c(24,32,20)*s(40,32,12)-
t(32,32,28)s(24,32,28)*s(24,16,12)-s(40,48,12)+
t(32,40,28)t(32,32,12)t(48,16,12)+-c(32,32,20)*
s(40,40,12)c(40,32,12)+c(32,40,20)t(24,32,28)*+
s(16,16,20)s(24,40,20)+t(40,40,20)c(32,32,20)*-
s(32,32,28)s(40,24,20)s(24,24,12)+*t(40,24,20)*
s(32,16,12)s(8,16,12)t(48,48,12)+s(24,32,20)-+
s(8,32,12)t(32,40,28)+s(40,24,28)c(40,32,20)**
t(24,32,20)t(40,24,20)+c(16,32,12)+t(24,40,12)-
c(24,40,20)t(24,40,20)s(8,16,12)s(16,48,12)++-
c(32,32,28)t(40,40,20)-c(24,32,12)-s(40,16,12)-
s(24,32,28)s(32,24,28)c(40,40,20)*s(48,24,12)--
s(32,24,28)s(40,24,28)c(32,32,28)s(24,32,28)-*+
c(16,48,12)t(24,40,28)c(40,24,20)s(8,48,12)+*+
s(40,24,20)t(24,48,12)c(32,32,12)+s(32,24,12)-+
s(40,32,28)s(32,40,12)t(32,48,20)+*t(48,56,12)+
s(40,48,20)s(48,48,20)+s(40,40,20)s(16,48,12)+*
t(32,32,28)s(32,32,28)s(48,32,20)-*s(24,16,12)+
c(24,24,12)c(40,16,12)+s(16,32,12)-s(40,8,12)+
s(8,24,12)t(40,16,12)+c(24,48,12)+c(24,32,20)-
c(32,24,20)s(16,16,12)-t(24,48,28)s(48,16,12)+*
s(24,32,12)t(40,40,20)c(24,48,12)++t(24,24,20)-
s(32,24,28)s(48,32,12)c(32,40,12)s(8,32,12)++-
t(32,40,28)s(48,40,20)*s(16,48,12)+s(24,32,28)*
t(32,48,28)c(32,32,20)s(40,48,12)--s(40,32,28)-
s(32,48,20)c(32,32,28)*t(24,40,28)s(16,24,20)-*
s(24,32,12)s(48,40,20)+s(32,24,28)s(48,24,20)-*
s(24,32,28)s(32,48,20)t(40,40,12)--s(16,24,20)+
c(32,40,20)s(32,32,12)-s(32,48,20)t(32,32,12)-*
s(48,48,12)s(16,32,20)s(16,40,12)-+s(16,8,12)+
s(32,24,20)c(40,24,20)s(32,24,28)*c(24,24,12)-*
c(24,40,20)t(32,40,28)*s(16,24,20)+s(24,24,12)-
c(40,32,20)s(32,32,20)t(32,48,20)--t(24,40,28)+
s(32,24,20)s(48,40,20)-s(16,16,20)c(40,24,20)-+
c(32,24,20)t(24,24,12)s(24,40,20)+s(32,32,28)*+
s(40,32,28)s(24,24,28)s(24,32,20)s(24,48,12)+-+
s(24,40,28)s(32,32,20)t(40,32,20)--c(40,32,20)*
s(48,40,20)c(32,40,20)s(40,32,20)*c(40,24,20)*+
s(48,16,12)s(24,32,20)t(24,32,28)*+c(32,24,20)*
c(16,48,12)t(40,24,12)+t(40,32,20)s(24,16,20)--
s(48,48,20)s(40,48,20)t(32,48,12)-s(32,40,28)**
s(40,24,28)c(32,24,20)s(48,24,20)*-t(24,40,28)+
s(48,16,12)c(24,48,12)+s(40,40,20)-s(24,16,20)+
t(24,24,20)c(24,40,20)c(40,40,20)-+s(24,32,20)*
t(32,16,12)t(40,56,12)+s(24,32,20)s(24,24,20)*+
t(40,40,20)s(40,16,12)+c(40,40,20)s(24,16,12)+*
s(24,32,20)t(32,40,28)t(32,48,12)-t(32,32,28)**
s(40,40,28)s(40,48,12)-s(40,40,20)t(48,48,12)--
c(24,32,12)s(16,48,20)+s(24,24,28)*s(40,24,12)+
s(16,40,20)c(40,32,12)+s(40,32,12)-s(32,32,12)+
c(24,32,12)s(48,8,12)+s(32,40,20)+t(40,40,20)*
s(48,32,12)c(40,40,20)c(40,48,12)-c(40,24,20)*+
c(40,40,20)c(48,48,12)c(32,40,20)+*c(24,40,20)+
c(24,40,12)c(32,40,12)+s(16,8,12)c(48,48,12)++
s(24,40,28)t(16,24,12)c(40,48,12)c(40,32,12)++*
t(32,48,20)t(32,32,28)c(32,32,20)c(40,48,12)-*-
s(32,24,20)s(48,40,20)t(32,32,28)+s(16,40,20)+*
s(32,32,28)s(40,32,12)-c(40,40,12)s(16,40,12)++
c(40,24,20)c(32,24,20)s(32,40,28)--s(40,40,12)-
t(24,32,28)c(16,16,12)-s(48,16,12)c(32,40,20)+*
s(32,24,20)s(32,24,20)s(40,32,20)*-s(8,8,12)+
s(40,24,12)t(40,48,12)+s(40,40,20)+s(32,40,28)*
c(32,24,20)t(48,24,12)-s(32,16,12)-c(24,48,12)+
s(48,32,20)t(24,40,28)s(40,32,28)*t(32,32,28)*-
c(40,40,20)s(48,16,12)+t(40,40,12)-c(32,24,12)-
s(40,40,28)t(48,24,12)-s(16,32,12)+s(16,32,20)-
s(16,32,20)s(32,32,20)s(24,40,20)-c(16,40,12)+*
s(40,16,20)t(32,56,12)s(16,24,20)+t(24,32,20)-+
t(32,32,12)s(48,40,20)t(40,24,12)-+c(32,32,28)*
t(24,48,28)s(8,32,12)s(24,48,20)+t(16,56,12)-*
s(32,48,20)t(32,40,28)s(24,32,28)*t(24,40,28)**
s(24,16,20)s(32,16,20)*s(32,16,20)t(24,32,20)-*
s(48,32,20)s(32,40,28)s(32,16,20)s(48,24,20)--*
c(32,32,28)s(16,16,20)s(32,24,28)*-s(40,32,28)*
s(48,40,20)s(48,48,20)+c(40,32,20)+t(32,48,20)-
c(32,32,20)t(40,48,12)-c(48,32,12)-c(40,32,12)-
s(16,32,20)c(24,40,20)*c(32,24,12)+c(24,40,20)*
c(16,48,12)c(32,32,20)s(48,48,20)++t(40,32,20)-
t(32,48,28)t(40,16,12)t(24,32,28)+s(32,32,28)*+
s(32,24,28)s(32,32,20)c(48,32,12)-t(40,48,20)+*
t(32,48,20)c(24,40,20)*s(24,32,20)s(16,48,20)-+
s(16,40,12)s(8,8,12)+c(40,32,12)t(32,16,12)++
t(40,48,20)t(24,40,28)t(32,32,28)t(16,56,12)+*-
c(32,24,20)s(48,24,12)c(24,24,20)+*c(40,40,20)*
s(32,16,20)t(48,40,12)s(24,24,20)+*s(24,24,12)+
s(24,32,20)c(40,40,20)s(48,32,20)t(24,48,20)+*-
s(24,16,20)s(40,24,20)-s(32,24,28)c(48,24,12)-*
s(24,32,28)c(16,16,12)-s(24,40,20)t(32,32,20)-*
s(40,32,28)s(48,40,20)c(24,24,12)+*s(8,8,12)+
s(16,48,20)c(40,32,20)s(24,32,28)*s(48,24,12)-+
t(16,48,12)c(32,32,20)s(24,32,28)s(16,40,20)**+
s(40,40,20)t(32,40,28)*c(32,32,20)+s(40,24,28)-
c(24,24,20)c(40,24,20)s(40,40,28)*s(24,24,28)**
c(24,40,20)c(32,48,12)c(48,48,12)+t(32,24,12)+-
t(32,40,28)t(16,48,12)s(40,32,20)+s(40,24,20)+*
s(32,40,20)t(24,40,20)t(32,48,12)+t(32,32,12)+*
t(24,24,20)s(24,32,20)s(32,24,20)-t(40,32,12)++
t(40,48,12)t(40,24,12)+t(24,24,20)+s(32,24,28)*
s(8,48,12)s(40,32,20)+c(32,40,20)t(24,24,20)+*
s(40,48,20)c(16,48,12)c(24,24,20)+s(32,40,28)*-
s(32,48,20)t(24,40,28)s(32,16,20)s(16,16,20)*++
s(48,32,20)c(24,40,20)s(40,40,28)*+t(32,48,20)*
s(40,32,28)s(40,40,28)s(24,40,28)*t(32,40,12)-*
s(48,16,20)c(32,32,20)c(32,40,20)s(48,48,20)-*+
s(32,24,20)t(32,56,12)+t(24,48,28)s(48,24,12)+*
c(24,40,20)s(24,32,28)t(48,40,12)s(40,48,12)+-*
s(16,16,20)s(32,32,28)s(24,16,12)s(16,40,12)+-+
s(40,32,28)t(32,48,28)c(24,32,20)+c(32,24,20)**
s(24,40,20)s(24,24,28)+c(40,32,20)t(40,56,12)+*
s(40,40,28)c(40,40,12)-s(48,16,20)-c(40,40,20)*
t(24,24,20)s(40,40,20)c(32,40,20)*+t(24,40,28)+
c(40,32,20)t(32,32,28)*c(48,40,12)-c(32,48,12)-
c(24,40,20)t(32,40,28)*s(16,32,12)-s(32,32,20)*
s(16,40,20)c(32,24,20)-s(16,40,12)+s(24,8,12)+
s(40,24,20)s(40,8,12)s(16,48,12)+-s(40,40,20)+
s(32,32,28)t(48,16,12)t(24,40,28)+c(24,40,20)**
t(24,40,28)s(40,32,20)t(32,40,28)*c(40,24,20)*-
t(32,48,28)c(16,40,12)t(32,24,20)+s(32,32,12)--
t(32,48,28)t(24,40,28)s(32,32,28)c(32,40,12)-*-
t(32,16,12)s(40,8,12)s(24,40,20)++t(32,24,20)*
c(32,32,20)s(40,24,28)s(32,40,28)t(32,32,12)---
s(40,32,28)c(32,32,20)s(16,32,20)+*t(40,24,20)*
s(40,32,28)c(24,24,20)s(32,40,28)s(40,24,28)---
s(16,32,20)s(24,40,20)s(40,24,20)t(40,16,12)-+*
c(16,32,12)s(32,32,28)t(40,24,20)s(40,16,20)+*+
t(24,32,20)c(40,24,20)t(40,40,12)-s(40,16,20)*-
t(24,24,20)s(48,24,20)+t(32,32,28)t(32,32,12)-*
c(24,32,20)s(32,32,20)-s(40,24,28)-s(40,32,28)+
s(24,24,20)t(24,24,12)t(32,40,20)+s(40,40,20)*-
t(24,48,28)c(32,32,28)s(48,16,20)-*t(16,56,12)-
s(16,48,20)s(16,48,20)s(24,32,20)+s(40,40,28)*-
s(40,48,12)s(32,48,20)s(24,32,28)s(32,40,28)**+
c(32,32,20)t(32,32,28)*s(48,32,12)-t(32,40,28)*
s(24,40,28)s(32,16,20)t(32,32,28)+*s(16,32,20)*
s(40,40,28)s(24,32,12)-c(40,32,20)+s(8,16,12)+
s(32,8,12)c(24,40,20)t(24,40,28)s(24,32,12)--+
s(40,48,20)c(40,24,20)s(24,40,20)--s(48,16,20)+
s(40,24,28)s(32,32,20)c(32,40,20)**s(40,32,20)*
c(40,40,20)s(24,32,28)s(40,24,20)*-t(32,48,28)*
c(24,24,20)s(40,16,12)+t(24,40,12)-s(40,24,20)*
s(40,32,20)t(32,40,28)c(24,24,12)c(48,40,12)+++
s(48,32,20)c(32,40,20)c(24,24,20)*c(24,48,12)--
s(24,24,28)c(32,16,12)-c(24,24,20)*t(32,56,12)+
s(16,16,20)c(24,32,12)-s(24,24,20)s(32,40,12)-+
c(24,24,20)s(32,40,12)t(24,24,12)+t(40,48,12)-*
s(40,48,12)c(24,32,12)+t(16,48,12)s(16,24,20)+-
s(40,40,28)s(40,32,28)c(32,24,20)s(24,32,28)***
s(32,32,20)s(24,48,20)-s(24,16,12)c(16,24,12)++
c(32,24,20)s(16,24,20)-c(24,24,20)s(40,40,20)--
s(24,24,20)s(16,24,12)-c(32,16,12)t(24,32,20)+*
s(24,16,20)t(16,56,12)s(32,24,28)t(48,32,12)-+*
s(32,40,20)c(40,24,20)-c(16,24,12)-s(8,8,12)+
c(24,24,20)c(32,40,20)t(24,40,28)--s(24,32,28)*
t(32,40,28)c(32,32,20)c(32,40,12)-+c(48,40,12)-
t(24,48,28)c(24,24,12)+s(24,32,20)s(32,24,20)*-
c(32,40,20)s(32,24,12)-t(48,56,12)c(24,32,12)+-
c(32,24,20)s(32,40,20)s(32,16,12)+*s(24,32,20)*
c(24,24,12)c(32,40,20)s(40,32,20)t(24,48,28)-*+
t(32,40,28)c(40,24,12)+t(32,32,28)c(48,16,12)+*
s(24,32,28)t(32,40,20)-s(32,40,28)*t(24,48,12)+
t(32,48,28)s(48,32,20)t(40,56,12)++s(48,16,20)-
c(24,32,20)s(40,40,28)*c(40,32,20)s(40,40,20)**
t(32,48,28)s(24,48,12)t(16,16,12)+s(40,24,28)-+
c(40,48,12)s(40,24,28)s(24,40,28)*s(48,32,12)-+
t(16,16,12)s(32,16,20)+s(32,32,20)t(40,40,12)-*
c(24,32,20)s(32,40,20)t(48,48,12)+s(16,40,20)*-
s(24,32,20)s(24,24,20)*t(24,16,12)s(32,40,12)+-
t(32,40,28)c(40,40,20)*c(32,32,28)s(48,40,20)*+
t(24,48,12)s(40,48,20)c(48,40,12)-+t(24,48,28)+
t(40,16,12)c(32,48,12)+s(24,40,28)+t(24,48,28)*
s(48,40,20)s(40,48,20)*c(40,24,12)t(16,16,12)++
c(40,32,20)c(24,40,20)s(8,16,12)+s(24,24,28)*+
c(32,24,20)c(24,24,20)*t(40,40,20)s(24,24,12)+*
s(40,24,28)c(40,48,12)s(24,40,28)s(48,24,20)-+*
t(32,32,28)c(24,32,20)s(8,24,12)-s(24,40,28)**
t(24,48,28)c(24,40,20)*c(32,24,20)+s(24,24,12)-
s(24,24,28)c(32,40,20)s(16,48,20)-*s(40,48,12)+
t(24,32,28)c(32,40,20)t(24,48,12)-*t(32,40,28)*
c(32,40,12)s(8,48,12)s(16,32,20)+s(32,16,12)++
c(24,24,20)s(32,24,20)*s(40,24,20)*c(48,32,12)-
s(8,8,12)c(24,40,20)t(40,32,12)-s(40,40,28)*+
t(24,48,12)c(32,32,20)c(16,48,12)-+s(40,16,20)-
t(24,48,28)c(24,48,12)c(32,24,12)s(32,8,12)++*
s(24,40,28)s(32,40,20)-t(40,48,20)s(32,24,20)--
s(24,16,20)s(24,16,12)c(48,48,12)++c(32,32,20)-
s(24,40,20)s(32,32,20)t(32,16,12)s(32,40,20)+**
c(40,24,20)t(32,16,12)-s(32,32,20)t(32,16,12)--
t(24,48,28)t(16,32,12)s(16,8,12)s(40,24,20)+++
s(24,32,28)s(32,32,28)s(32,40,12)-t(32,40,20)-*
s(32,24,28)s(40,40,28)+s(32,40,12)-s(24,8,12)-
t(48,16,12)c(40,32,20)s(48,16,20)-s(48,32,20)*+
s(24,32,28)s(24,48,12)-t(24,40,20)s(40,40,28)+*
t(40,48,20)s(40,40,20)t(24,32,28)+*s(32,8,12)+
s(24,24,12)c(24,16,12)+t(24,40,28)+c(32,24,20)*
s(24,24,28)s(24,32,12)-c(24,24,20)*c(32,32,20)-
s(40,48,20)t(32,48,28)s(16,32,20)s(32,32,20)*-*
c(24,32,20)c(40,16,12)-c(40,40,20)*s(32,32,20)*
s(32,24,20)c(32,40,20)+c(32,32,28)s(40,32,12)-+
s(32,40,28)t(16,56,12)c(32,24,20)+c(24,16,12)-+
s(24,24,28)t(24,56,12)s(16,16,12)++c(32,32,20)-
s(32,32,28)t(48,56,12)t(24,40,20)+c(40,40,20)*-
c(24,40,20)c(32,32,20)c(32,24,20)*s(48,24,12)--
c(32,16,12)t(24,40,12)+s(48,24,12)c(40,32,12)+-
s(40,32,28)t(32,40,12)-s(40,40,28)*c(24,40,12)+
t(24,48,28)s(40,48,12)-c(32,40,20)s(24,48,12)--
s(40,32,20)t(32,24,20)s(40,8,12)-+t(32,32,28)+
t(40,32,20)c(24,32,20)t(24,32,28)*t(24,40,20)*-
s(16,40,20)c(32,48,12)s(40,40,28)c(32,24,20)*+-
s(32,40,28)t(48,56,12)t(32,40,28)+*s(48,40,20)*
t(40,32,12)s(48,32,20)c(32,32,12)-c(40,24,20)*+
c(32,32,20)s(40,32,28)*s(48,16,20)-s(24,32,28)*
s(24,48,12)s(32,24,28)c(24,32,20)-+c(48,16,12)+
c(24,32,20)c(32,16,12)s(48,24,20)+t(32,32,12)-+
s(16,24,20)c(32,40,12)t(24,32,12)+-s(16,16,20)*
t(24,32,20)s(48,40,20)t(40,40,20)-+c(16,24,12)-
s(48,32,20)s(32,40,20)-s(32,24,20)t(16,32,12)+-
s(24,24,20)s(24,16,20)c(48,24,12)c(24,32,20)+--
t(24,32,28)s(24,32,28)c(24,24,20)**t(40,32,12)-
c(16,16,12)s(16,32,20)+s(24,32,20)s(40,48,20)-*
t(24,48,20)s(48,24,20)+s(40,40,28)*c(40,24,20)*
s(32,24,28)c(48,32,12)s(8,8,12)+-s(40,16,20)*
s(32,24,28)t(32,32,12)-s(32,40,28)s(24,40,28)*-
s(24,24,28)c(32,40,20)c(32,32,20)*-s(24,24,20)*
c(24,48,12)c(32,32,20)t(24,40,28)-+s(32,48,12)+
c(32,24,20)c(32,32,28)c(32,40,12)-s(48,40,20)*+
t(40,16,12)s(40,32,28)s(48,40,20)s(40,16,20)-*+
s(24,40,28)t(24,32,28)s(32,32,28)s(40,32,28)***
s(16,16,20)s(16,24,20)t(40,32,20)c(24,32,12)-+*
s(24,40,28)c(32,32,28)*t(16,24,12)-s(48,32,20)-
s(24,24,28)s(48,48,12)+t(32,40,28)t(24,40,28)*+
c(32,32,20)c(24,32,12)t(24,40,20)+t(24,48,12)-*
s(32,32,28)s(32,32,20)s(40,32,20)*s(8,8,12)+-
s(40,40,28)s(24,16,20)s(40,16,20)+t(24,32,28)*-
s(40,48,20)s(40,40,28)t(24,40,20)-t(32,32,20)-*
s(48,24,20)c(40,40,20)s(24,40,28)s(48,32,20)+**
s(16,24,20)s(24,40,28)t(32,32,28)t(24,40,20)+*+
s(24,40,20)s(40,24,28)+s(40,8,12)-c(40,40,12)-
s(40,48,12)t(24,48,20)+s(32,48,20)+c(32,32,28)*
s(32,24,20)s(32,16,20)s(40,48,12)+*s(32,32,28)*
s(24,32,28)s(32,24,20)*s(16,48,20)+s(32,40,28)*
c(32,24,20)s(48,48,20)-t(16,56,12)+t(24,48,28)-
s(16,8,12)s(16,32,12)s(40,24,20)++s(48,24,20)*
t(24,40,28)c(32,24,20)s(16,24,12)--t(24,48,28)*
c(32,24,20)c(24,40,20)s(40,40,20)--s(32,32,20)*
s(16,24,20)c(32,32,20)-s(24,48,20)+c(32,24,20)+
s(24,48,20)c(32,24,12)+s(24,40,28)c(24,24,20)*+
c(32,24,12)c(48,32,12)c(24,32,12)+t(32,48,28)-+
s(40,24,20)c(16,40,12)+c(48,40,12)-t(32,48,28)+
s(40,24,20)t(40,40,20)t(32,40,12)+-s(48,24,12)-
s(24,48,20)s(32,40,20)t(32,48,28)*-t(32,48,20)+
t(24,24,20)t(16,32,12)-s(48,32,20)+t(32,32,28)+
s(48,8,12)s(16,8,12)+c(32,32,20)+s(24,40,20)*
c(32,32,20)s(40,40,28)*c(16,40,12)+t(40,40,20)-
t(16,48,12)t(24,32,28)+s(24,16,12)s(32,32,20)+*
s(32,32,28)s(32,24,12)-s(16,16,20)c(40,24,12)+-
s(32,32,28)s(16,48,12)-c(24,32,12)-s(24,16,20)-
t(48,16,12)t(40,40,20)s(32,40,20)++s(32,32,28)*
c(40,24,20)c(32,24,12)s(32,48,20)+-s(40,24,20)*
s(40,24,28)t(32,48,28)c(40,32,12)-s(40,32,12)+-
t(24,32,28)s(40,24,20)t(24,32,12)++s(32,40,28)-
s(40,40,28)c(32,32,28)c(32,16,12)-*s(40,24,20)*
s(48,32,20)t(40,48,20)t(24,32,28)+t(32,40,28)*-
s(24,24,12)s(48,32,20)+s(24,16,12)-t(24,24,12)+
c(24,24,20)s(32,32,20)s(24,8,12)c(32,16,12)+--
s(8,16,12)c(32,24,20)+s(40,16,20)*s(48,24,12)-
c(24,24,12)s(40,48,20)+s(40,32,20)s(24,32,28)**
s(32,40,20)s(40,40,28)s(48,32,20)*c(32,40,20)*-
s(40,32,20)s(24,24,28)+c(40,32,20)*s(32,32,20)*
s(40,48,12)c(40,32,12)+s(32,48,20)t(32,32,20)--
s(16,16,20)t(48,48,12)c(24,32,12)+s(40,48,12)--
s(48,24,20)s(40,24,12)-s(16,8,12)t(32,32,20)+-
s(40,32,20)s(24,48,20)s(8,32,12)+-s(40,24,20)*
t(48,48,12)s(32,32,28)s(40,8,12)+s(24,24,28)*+
c(32,32,12)s(16,16,20)+t(24,32,28)s(24,24,20)+*
c(32,32,28)s(40,16,20)-s(40,32,20)s(24,24,28)+*
t(24,48,28)t(24,16,12)s(40,40,28)+*t(40,48,12)-
s(32,48,20)s(40,48,20)t(40,24,12)+c(24,32,20)*-
c(32,32,20)t(32,32,28)c(32,32,20)s(16,32,20)*--
c(24,48,12)t(40,40,20)+s(48,48,12)+t(24,48,20)-
s(24,24,20)c(24,24,12)s(32,40,12)+t(32,16,12)-*
s(40,32,12)s(40,16,20)+c(40,24,20)s(32,24,20)+*
s(32,32,28)c(24,32,12)-t(32,32,28)*s(32,32,20)*
s(8,32,12)s(40,48,20)s(40,24,20)-s(40,24,28)-+
s(40,32,20)c(24,24,20)s(16,8,12)-t(32,32,20)*-
s(32,16,12)s(32,24,20)t(40,24,20)*+s(40,8,12)-
t(24,32,28)t(32,40,28)c(24,24,20)c(48,24,12)+**
t(32,48,12)s(32,24,28)t(24,40,20)-t(24,24,20)-+
s(24,32,20)c(40,32,12)-s(16,40,12)c(24,32,12)+*
s(8,32,12)s(24,48,12)s(48,48,20)t(24,16,12)+++
s(32,40,20)s(8,40,12)s(32,32,20)t(32,40,12)-+*
c(40,40,20)s(48,48,20)c(32,24,20)s(32,40,28)*-*
s(48,48,20)s(24,32,20)+c(32,32,20)t(24,24,20)*-
s(40,40,28)c(32,24,20)*s(32,48,12)-c(40,16,12)-
s(32,32,28)s(24,40,28)s(32,40,28)**t(32,24,20)-
s(16,16,20)s(24,24,20)s(16,32,12)--s(24,32,12)-
s(24,32,12)t(32,32,20)t(48,48,12)c(16,32,12)+-+
s(32,40,28)c(48,48,12)-s(24,40,12)-s(40,40,20)-
s(32,24,28)c(16,32,12)t(32,40,12)+-t(16,32,12)+
t(40,24,20)s(16,16,12)s(48,8,12)s(16,40,20)+++
s(32,40,28)s(40,40,28)*s(24,32,28)*s(32,24,20)*
c(40,40,20)s(40,48,20)*c(40,32,20)c(32,32,20)**
t(32,24,20)c(24,40,12)+s(48,40,20)-c(40,16,12)-
t(24,32,20)t(32,16,12)+s(16,24,20)s(40,32,20)+*
t(24,48,20)s(32,32,20)+c(32,40,12)-s(24,16,12)-
s(32,24,28)s(32,32,28)*s(24,32,28)*t(40,40,12)-
t(48,32,12)s(24,16,20)s(24,24,28)t(32,24,20)-*+
s(48,48,20)t(40,32,20)s(40,32,28)t(40,16,12)-*-
s(40,48,20)c(32,40,20)s(48,32,12)+t(24,32,28)--
t(32,40,12)c(48,48,12)t(40,32,12)++c(32,48,12)-
t(24,48,28)s(16,40,20)c(40,40,12)++c(40,40,20)*
s(24,32,20)t(24,32,28)*s(32,40,20)s(24,48,20)*+
c(32,40,20)t(16,24,12)s(8,16,12)++t(40,48,20)-
s(48,32,20)s(32,32,28)c(40,24,20)s(40,40,28)***
c(32,32,28)s(16,48,20)-t(48,16,12)t(24,40,12)+-
t(24,32,28)s(40,16,20)t(24,24,12)+s(16,16,20)+*
t(32,40,20)c(48,24,12)s(32,40,12)++t(24,48,20)-
s(40,24,20)t(48,16,12)s(32,24,12)+-t(24,40,12)+
s(40,32,28)s(40,40,28)*t(32,40,20)-c(32,32,12)-
t(40,48,20)t(48,32,12)+t(16,16,12)s(40,40,20)+*
c(40,32,20)s(48,32,12)s(8,16,12)s(40,48,12)++*
c(32,40,20)c(40,48,12)s(16,48,20)t(32,40,20)-+-
c(32,32,28)c(24,40,20)s(16,40,12)-c(16,40,12)--
c(32,32,28)t(16,40,12)s(48,24,20)+t(32,48,20)+*
s(24,32,28)c(24,40,12)-s(40,32,28)t(32,48,20)--
t(40,48,20)c(32,24,20)s(24,24,20)*+s(48,48,20)*
s(8,40,12)s(48,8,12)s(16,16,20)++c(32,24,20)+
s(32,32,20)c(32,24,20)t(32,40,28)*s(24,40,28)*-
s(32,40,20)t(24,48,28)t(24,32,28)*-t(48,32,12)+
c(40,48,12)s(48,40,20)+c(32,32,20)+s(24,32,20)*
c(32,32,28)c(40,32,12)-s(24,24,28)s(40,24,28)-*
c(24,48,12)c(40,24,20)c(32,40,12)-+s(32,16,12)-
c(40,40,20)s(24,32,28)*s(24,24,20)+t(24,32,20)-
c(24,40,20)s(32,24,28)s(48,32,12)-s(32,40,20)*-
s(40,24,20)s(40,16,20)c(32,40,20)-*t(32,56,12)+
c(32,32,20)s(16,40,20)c(24,48,12)--t(24,24,12)+
s(24,32,28)t(40,40,12)-c(24,40,20)*t(40,32,20)-
s(32,24,28)s(40,24,28)*t(32,24,20)-c(16,16,12)-
c(24,16,12)s(24,40,12)+t(32,32,12)-s(40,48,20)+
s(40,32,28)c(40,24,20)s(32,24,28)s(24,24,28)***
s(16,16,20)c(16,32,12)t(32,32,20)++s(40,48,20)-
c(32,32,28)s(48,24,20)s(48,16,20)c(24,32,20)-*-
s(40,24,28)s(32,40,20)s(24,32,20)+t(32,24,20)*-
s(48,32,20)s(16,8,12)+t(24,48,20)+c(32,32,20)*
t(32,40,12)s(32,24,20)+s(32,40,20)*c(16,32,12)-
s(32,32,20)s(24,32,20)t(40,32,20)-c(24,40,20)*+
s(40,32,28)c(40,24,20)c(32,32,20)--c(24,16,12)+
t(32,56,12)t(40,48,12)+c(24,32,20)s(40,32,28)-+
s(24,32,20)s(40,24,20)c(24,24,20)*-s(16,32,20)*
s(40,24,28)c(24,16,12)-c(16,32,12)+s(40,40,28)*
s(16,48,20)s(32,32,12)+s(16,48,20)t(48,32,12)+*
s(40,32,28)s(40,48,12)t(16,16,12)t(40,40,20)++*
c(32,24,20)t(48,32,12)-s(32,24,28)s(40,16,20)-*
t(40,32,20)s(16,32,20)s(32,32,28)s(40,24,12)-*-
c(24,32,12)s(16,48,20)+s(24,40,20)*c(32,40,20)*
s(40,40,20)t(48,32,12)-s(32,40,20)*c(24,40,20)*
c(32,32,20)t(32,40,20)t(24,32,28)+*c(24,48,12)-
s(32,40,12)s(16,24,20)s(40,32,28)s(24,32,20)*-+
c(40,40,20)s(48,40,20)*t(32,48,12)-c(32,40,12)-
s(48,8,12)c(24,32,12)s(40,40,20)+s(48,48,20)-+
s(16,40,20)s(40,48,20)+s(40,32,12)+s(32,48,20)-
s(32,40,28)s(40,32,28)s(40,48,20)t(24,56,12)-**
s(40,48,20)s(24,40,28)s(16,16,20)-+c(24,40,20)*
t(16,32,12)c(24,24,20)s(40,24,20)*s(32,48,12)++
t(48,56,12)s(32,8,12)+s(24,24,12)+s(32,24,28)*
s(32,16,20)c(24,16,12)s(48,32,12)s(16,48,12)+++
t(24,32,12)s(24,40,28)t(24,40,20)-s(24,24,28)*+
s(32,32,28)s(32,24,12)-c(24,16,12)+t(24,24,12)-
c(40,24,20)t(24,24,20)c(16,24,12)+t(40,16,12)+*
s(32,40,28)c(24,48,12)s(40,48,20)+*s(40,24,28)-
c(32,32,20)s(24,48,20)+t(24,32,28)-t(24,40,20)+
s(40,40,28)s(40,32,28)*s(40,32,28)s(32,32,28)*+
s(32,32,20)s(40,24,20)c(32,32,20)t(24,32,20)-+*
s(32,24,20)s(24,48,12)t(32,32,28)+*s(16,32,20)+
c(40,24,20)c(40,40,20)s(16,16,20)+*s(24,8,12)+
t(24,40,28)c(40,16,12)t(32,24,20)+-t(24,32,28)*
t(32,40,20)s(16,40,20)c(24,40,12)-s(32,24,28)-+
s(40,40,20)s(24,48,12)-s(48,40,20)*t(40,40,20)+
s(32,24,28)s(48,8,12)c(24,40,20)++s(32,40,12)-
c(32,24,20)t(24,32,28)*t(32,48,12)s(40,40,12)+-
s(8,24,12)s(32,48,12)+c(24,32,20)t(24,16,12)-+
s(32,32,28)t(24,24,12)s(8,32,12)+-s(40,16,20)-
s(40,32,20)t(32,48,28)s(32,32,28)s(40,24,28)-+-
s(24,24,12)s(40,40,12)+c(16,24,12)-s(48,32,12)+
s(40,48,20)c(40,32,20)*s(16,24,20)c(24,32,20)*+
s(32,40,28)s(32,24,20)s(48,16,20)+c(24,40,12)-*
s(48,40,20)s(32,32,28)*c(40,48,12)t(40,24,20)+*
t(32,40,20)t(32,48,28)s(48,16,12)+c(40,24,20)*+
c(24,32,20)t(16,16,12)s(32,24,12)s(16,48,20)++*
s(16,40,20)t(48,16,12)+t(16,24,12)t(24,48,12)+-
s(40,32,28)s(8,48,12)c(24,32,20)+*s(40,40,20)*
s(16,16,12)c(48,24,12)+s(16,24,20)c(32,32,20)--
c(32,40,20)c(16,48,12)-s(48,16,20)-t(24,40,20)-
s(32,24,28)s(24,40,28)*c(48,24,12)s(32,40,20)+*
c(32,40,20)s(40,24,28)*t(24,56,12)+c(48,24,12)+
t(32,32,28)s(32,40,28)s(32,24,12)-t(40,48,12)-*
c(16,24,12)t(40,16,12)+s(8,48,12)+s(16,48,12)-
s(16,40,12)s(40,32,28)c(32,32,12)-t(32,48,28)-+
s(48,8,12)t(40,40,12)+s(40,40,20)s(16,8,12)++
c(40,40,20)s(48,24,12)c(32,32,20)+*c(16,40,12)-
s(24,8,12)c(40,40,20)s(32,16,12)++c(40,48,12)-
t(24,40,20)s(40,24,20)c(24,24,20)*+s(40,16,12)+
s(32,32,20)t(24,32,20)+t(32,32,12)-t(24,32,12)-
t(32,56,12)s(24,40,12)+c(48,24,12)+s(24,40,20)-
t(24,32,28)s(32,32,20)s(24,40,28)c(48,48,12)+**
s(48,24,12)t(24,48,28)+c(32,32,12)-s(16,40,20)-
s(32,24,28)s(40,24,12)s(48,48,20)+c(32,48,12)+*
t(40,24,12)t(24,32,28)t(32,32,28)s(32,24,20)**+
s(24,32,28)s(16,40,12)-c(40,24,20)s(32,40,28)*-
s(8,40,12)c(16,40,12)+t(40,48,12)+s(16,48,20)*
s(40,32,28)s(48,48,20)-s(40,24,20)s(40,48,20)+*
t(24,48,12)s(16,16,20)s(24,24,12)t(40,32,12)+-+
s(24,40,28)s(16,24,12)-s(16,48,20)-s(24,40,12)+
s(24,40,20)s(24,48,20)s(8,40,12)-t(32,40,20)--
t(24,16,12)t(24,40,28)+s(40,40,28)+s(32,24,20)*
c(32,32,20)t(24,40,28)-s(24,40,28)s(16,16,20)++
t(24,48,28)s(40,16,20)c(24,24,20)*c(40,32,12)++
c(24,48,12)t(24,32,28)s(32,32,20)*s(40,48,12)-+
s(24,16,20)s(40,32,28)+t(48,40,12)-s(40,32,28)-
t(16,40,12)t(40,40,20)+s(16,32,20)+t(24,48,28)*
s(24,24,28)c(24,32,20)*s(48,48,20)-s(24,40,20)*
s(48,48,20)s(8,16,12)c(40,24,20)+-s(24,8,12)+
s(24,32,20)s(32,40,20)s(32,24,12)-s(32,24,28)+*
s(32,32,28)c(40,40,20)*t(32,48,28)t(40,48,20)*-
s(24,40,20)s(32,32,20)*c(24,48,12)+s(24,48,20)*
s(24,32,28)s(24,32,20)s(40,24,12)+s(16,40,20)*-
t(24,48,20)t(40,40,20)s(48,16,12)+c(40,48,12)-+
s(48,40,20)t(32,40,28)+s(40,48,20)t(48,56,12)-*
c(32,32,28)s(40,32,28)t(32,48,20)-s(24,8,12)+*
t(24,40,20)t(40,32,20)t(32,24,12)-+c(40,16,12)-
s(32,32,20)s(16,32,20)*t(32,16,12)+t(16,40,12)+
c(40,24,20)c(24,24,20)s(24,32,12)--c(40,16,12)-
s(16,16,20)s(40,32,28)c(32,40,20)--c(32,48,12)+
s(32,32,20)c(32,40,20)+c(40,40,12)c(48,24,12)+-
c(32,32,28)s(40,16,20)t(24,48,20)+t(24,48,28)**
t(24,40,28)t(16,24,12)+s(40,40,28)+s(48,48,20)-
t(24,40,20)t(32,24,20)s(32,16,20)s(48,32,12)+*+
c(24,40,20)s(16,40,20)-c(40,40,20)s(32,16,20)-+
s(24,32,28)s(48,40,12)t(24,40,20)+t(24,40,12)--
s(8,32,12)s(40,40,28)t(32,40,28)c(32,32,12)-*+
s(40,32,20)s(32,16,20)-c(32,32,28)c(40,40,20)-+
s(32,32,28)s(48,48,12)s(32,16,20)+*c(48,48,12)-
s(32,24,28)t(40,16,12)-c(24,24,20)*c(40,40,20)-
s(32,40,28)s(40,40,28)*c(40,40,20)*t(32,56,12)-
s(48,40,20)s(40,8,12)c(48,48,12)+t(32,24,12)++
c(32,40,20)c(40,48,12)-s(32,48,20)-s(48,48,20)+
t(24,40,12)s(8,32,12)t(40,40,20)t(48,32,12)+++
s(24,32,20)s(48,48,20)+t(32,40,28)*c(40,32,12)-
s(48,16,20)t(16,32,12)+s(24,24,28)s(32,24,28)**
c(16,24,12)s(8,8,12)+t(48,40,12)+s(48,32,20)-
s(32,8,12)t(32,32,28)+c(24,32,20)s(40,40,28)**
s(32,32,28)s(48,48,12)s(24,32,20)s(16,40,12)-++
s(32,40,28)t(24,48,28)s(16,32,20)s(24,40,20)*-*
t(32,48,20)c(24,16,12)s(40,24,12)+c(32,24,12)++
s(24,32,20)c(24,40,20)s(24,40,28)t(24,24,12)-+*
s(32,48,20)s(32,40,20)c(16,24,12)-+t(24,32,20)-
t(48,40,12)t(24,32,28)+s(24,24,28)c(32,16,12)--
s(32,40,20)s(24,40,20)+t(32,48,20)-s(16,8,12)+
c(32,40,20)s(32,40,28)s(16,48,20)-s(40,48,20)+*
t(16,24,12)c(48,48,12)+s(40,32,12)+s(40,40,28)*
s(16,16,20)s(24,32,20)s(16,32,12)s(32,24,20)+*+
s(16,8,12)c(24,24,12)s(16,40,12)+s(16,48,20)-+
s(32,32,28)s(32,32,20)t(32,16,12)--s(16,16,12)-
c(24,40,12)s(24,24,20)t(24,32,20)t(48,24,12)+*+
s(40,16,20)s(8,40,12)+c(24,40,12)t(40,24,20)+*
t(32,48,28)t(32,32,28)-s(48,32,12)+s(24,40,28)*
s(24,32,20)s(40,40,12)+s(40,24,28)c(40,40,20)**
t(24,40,28)s(32,16,20)-s(8,40,12)+s(32,40,28)*
c(40,16,12)s(48,24,20)+c(32,32,28)c(32,48,12)-*
c(24,32,20)s(40,48,12)t(32,48,12)+-s(40,24,20)-
s(40,32,28)c(48,24,12)-s(32,24,28)*t(40,24,12)+
t(32,56,12)t(24,40,20)c(40,24,20)t(32,40,28)*-+
s(32,32,20)s(32,48,12)-s(48,40,20)c(16,24,12)+*
t(16,16,12)t(24,32,12)+s(32,32,20)+s(16,32,20)*
t(24,48,28)s(24,48,20)*s(16,40,12)+c(24,24,20)-
c(24,48,12)s(8,32,12)t(16,48,12)++s(16,48,20)*
s(48,32,20)s(40,40,20)c(24,40,12)+*c(48,16,12)+
c(24,32,20)s(48,24,20)+s(24,24,20)*s(8,32,12)+
c(24,24,20)t(24,48,28)s(24,40,28)*-s(40,24,28)*
s(40,24,28)s(48,40,12)-t(32,24,12)t(16,24,12)++
s(48,24,12)c(24,40,20)s(16,40,20)c(16,32,12)-++
t(24,48,20)t(40,32,20)+t(48,48,12)c(24,40,20)+*
c(48,24,12)s(16,32,20)+t(24,48,28)c(24,16,12)+*
c(24,24,12)t(24,40,28)s(40,32,28)s(24,32,20)**+
s(48,48,20)s(24,40,28)+c(40,48,12)-c(24,24,20)*
s(16,24,12)t(32,32,28)+s(24,40,28)s(16,48,20)+*
s(32,48,20)s(48,32,20)c(32,24,12)--s(32,32,20)-
s(40,32,28)s(32,32,28)*s(16,32,20)-s(32,32,20)+
c(32,16,12)c(32,48,12)+t(24,32,28)s(16,48,12)--
t(48,48,12)s(40,32,20)t(16,48,12)++s(24,40,28)*
t(24,40,28)s(32,16,20)s(24,32,12)t(24,48,12)++-
s(16,24,12)c(24,16,12)c(48,40,12)++c(16,24,12)-
s(24,32,20)c(32,40,20)s(32,32,20)s(16,8,12)++*
c(32,40,20)s(24,48,20)t(24,40,20)*s(16,24,12)+*
c(32,24,20)c(40,40,20)*s(40,24,20)+s(24,24,20)*
s(32,24,28)s(40,32,12)-s(32,16,20)s(32,32,12)+*
s(16,16,20)c(24,40,20)t(16,56,12)c(48,32,12)+--
s(32,40,28)c(16,16,12)s(32,40,20)s(16,40,20)-+*
s(24,32,20)c(32,32,20)s(48,40,12)-*s(40,24,28)+
s(40,40,28)c(32,16,12)s(40,40,28)c(48,24,12)-+*
s(40,32,20)s(16,16,20)+t(32,32,20)-s(16,40,12)+
t(32,32,20)s(16,16,20)+t(32,48,28)+s(24,40,28)*
s(32,40,20)c(32,24,20)t(24,40,28)+s(32,40,12)-*
t(48,16,12)t(32,56,12)c(24,16,12)+s(16,32,20)-+
t(24,48,28)s(16,24,20)+s(32,24,20)*s(8,40,12)+
s(32,24,28)c(24,40,12)c(16,40,12)+-s(32,24,20)*
c(24,24,12)c(32,24,20)s(32,32,12)-s(32,24,20)*+
s(24,24,20)t(32,32,20)s(32,16,12)-s(32,16,20)+*
s(40,16,20)s(32,48,20)+s(40,24,28)s(32,16,20)-*
s(40,32,28)s(24,8,12)s(40,16,20)+t(40,24,20)+*
s(40,24,20)s(24,16,20)s(16,8,12)--t(40,16,12)+
s(32,32,20)t(16,40,12)t(32,48,28)+s(24,32,28)*-
s(24,24,28)t(24,48,28)c(40,24,12)t(24,56,12)++*
s(40,40,12)c(32,24,20)c(32,40,12)-c(40,32,12)-+
s(24,24,12)s(40,8,12)+t(24,32,20)+c(40,32,20)*
c(32,32,28)c(40,40,20)c(32,40,20)*t(40,40,12)--
s(24,24,28)s(32,40,28)c(24,40,20)t(16,48,12)-**
t(24,40,12)s(24,40,28)c(32,40,20)*s(16,40,20)-+
s(24,24,28)s(40,24,28)s(40,40,28)--s(40,32,20)*
s(40,32,28)s(16,32,20)s(40,24,12)s(8,24,12)+--
s(40,24,28)s(40,48,20)c(40,48,12)--c(32,40,20)*
s(48,40,20)s(32,24,20)-t(32,48,12)+t(32,32,12)+
s(32,24,20)s(24,32,28)t(16,24,12)-+c(40,40,20)*
c(16,16,12)c(40,32,20)+c(32,32,20)c(32,40,20)**
c(32,32,20)t(24,32,28)*c(16,40,12)s(32,48,12)+-
s(32,24,28)t(32,48,28)-s(32,24,20)c(40,32,12)--
s(40,32,20)s(48,24,20)s(40,32,12)--t(48,32,12)-
t(32,48,12)t(16,32,12)+s(8,16,12)+s(40,8,12)+
s(40,24,28)s(40,40,20)s(32,32,28)*t(16,48,12)+-
s(40,32,28)c(32,40,20)c(24,40,20)*s(40,40,20)++
s(24,32,20)s(32,40,28)c(32,32,20)t(32,40,12)-**
t(40,32,20)c(32,24,20)*t(16,40,12)c(24,24,12)+-
s(40,32,28)c(40,32,12)-c(48,32,12)-s(32,24,12)-
t(24,56,12)s(24,32,20)+t(32,40,20)-c(32,16,12)-
t(40,40,20)s(40,24,20)+s(40,40,20)*s(40,48,20)*
s(32,32,28)t(24,32,28)c(32,16,12)-t(40,32,12)-*
s(32,32,20)s(32,48,12)-c(48,40,12)-s(8,40,12)+
s(40,32,28)s(40,24,28)*c(40,32,20)t(24,40,28)*+
s(32,48,20)s(48,32,20)+t(32,40,28)-t(40,24,12)-
s(32,40,20)t(24,24,12)+s(32,24,28)+t(24,32,12)-
s(40,16,12)c(24,24,20)t(24,32,12)-+s(48,24,12)-
s(40,24,28)s(48,40,20)s(32,48,20)+c(40,40,20)*-
s(16,24,20)c(24,16,12)t(24,40,20)++t(24,32,28)*
c(40,24,20)s(16,24,20)s(24,8,12)-c(32,16,12)+*
c(24,40,20)t(32,24,20)-t(32,16,12)+c(40,32,20)-
s(32,24,28)s(24,48,12)+s(32,40,20)s(40,40,12)--
t(16,24,12)s(48,16,12)s(24,48,12)++c(40,24,12)-
s(48,48,12)c(40,32,12)s(32,48,20)++t(40,32,20)*
t(32,32,28)s(16,32,12)+c(24,24,20)*s(16,24,12)+
c(40,40,12)t(32,32,28)c(48,40,12)-+t(40,40,12)-
t(24,32,28)s(24,40,28)c(32,32,20)c(40,40,20)***
c(16,48,12)c(32,32,12)+s(16,40,12)s(32,16,12)++
t(32,32,28)c(32,40,20)+t(24,40,28)*c(32,24,20)*
s(40,32,20)t(32,40,20)s(24,40,28)s(24,16,20)-*+
s(32,32,20)s(32,32,12)-c(24,32,12)+s(24,24,20)*
s(40,32,12)s(16,40,20)+s(24,48,20)*s(16,8,12)+
t(32,32,28)c(32,32,20)*s(24,40,28)t(40,32,12)-*
t(32,48,28)s(24,40,28)t(32,40,28)s(24,40,12)-**
s(32,32,20)s(32,40,20)s(40,48,20)*s(16,32,12)+*
c(32,32,28)c(32,24,20)t(40,32,20)*c(40,48,12)+-
s(40,40,28)c(32,24,12)c(24,24,12)+t(24,32,28)*-
c(40,32,20)s(40,48,20)t(48,32,12)+*c(32,40,20)*
s(24,24,28)t(24,16,12)-c(32,16,12)+c(32,40,20)+
s(48,8,12)t(32,40,20)c(24,32,20)*+s(24,32,28)*
s(8,24,12)t(24,40,28)+s(32,24,28)s(32,40,28)**
s(40,32,28)t(24,40,28)c(32,40,12)s(16,32,12)+**
s(48,32,20)s(32,24,20)-s(24,16,20)+s(32,32,28)*
s(24,40,20)s(32,16,20)-t(24,24,20)-t(16,56,12)-
s(32,32,28)c(40,48,12)t(40,24,12)+*t(40,16,12)-
t(32,48,28)t(32,32,28)s(32,48,20)-s(8,48,12)+-
s(24,40,20)t(48,56,12)c(40,40,12)+s(40,24,28)+*
t(32,24,20)c(24,32,20)c(32,40,20)*+s(32,24,20)*
s(32,16,20)s(40,8,12)c(16,16,12)+c(40,32,20)--
s(32,32,28)s(32,40,20)s(40,48,20)t(32,48,28)*--
s(32,40,28)t(32,48,28)s(24,24,20)+s(24,48,20)-*
c(40,24,20)s(40,32,20)s(24,24,12)-s(32,8,12)+*
s(24,40,20)s(32,40,20)*s(24,40,28)s(40,24,20)-*
c(40,24,20)s(32,32,28)c(24,24,20)s(48,40,20)-**
s(40,16,20)t(48,32,12)s(16,40,20)+t(32,40,28)+-
c(32,40,20)t(24,48,28)*t(32,40,28)*s(16,24,12)+
s(16,32,20)c(32,24,12)+t(32,32,28)t(32,40,28)**
t(48,40,12)s(24,24,20)s(40,40,20)-+s(24,32,20)*
c(40,40,20)t(24,40,28)c(48,32,12)+*t(24,32,20)+
s(48,16,20)s(24,40,28)+t(24,40,20)t(32,40,12)--
c(32,32,20)c(48,32,12)t(40,32,20)++s(40,24,20)*
c(24,40,20)t(24,32,20)-c(24,32,20)s(24,16,20)*-
s(40,40,20)c(32,32,20)*c(16,24,12)+s(24,32,20)-
c(40,24,20)t(32,32,20)*s(16,16,20)c(16,32,12)--
c(24,40,20)t(40,40,20)+s(32,32,20)s(24,40,12)-*
s(24,8,12)c(40,40,12)+t(32,32,28)s(16,40,20)+*
s(24,16,20)s(16,24,20)s(8,16,12)--t(24,24,20)+
t(32,40,28)c(32,40,20)*t(24,32,28)*s(40,40,20)+
c(16,24,12)t(40,24,20)+s(48,24,12)-c(40,40,20)+
s(24,24,20)s(8,48,12)s(40,24,20)+*s(24,40,20)+
c(24,32,20)t(32,48,12)t(40,40,20)++s(16,48,20)-
s(40,32,28)c(32,32,20)*s(40,24,28)t(40,40,20)-*
s(8,16,12)c(16,32,12)+t(24,32,28)s(24,40,20)-+
t(24,32,28)c(24,32,20)t(24,16,12)-t(48,40,12)+*
c(48,40,12)s(24,24,20)+s(32,48,20)t(24,32,12)--
s(40,32,20)c(32,24,12)+c(40,40,20)+t(24,32,12)-
c(16,24,12)s(40,32,12)+s(16,32,20)+c(24,32,12)-
t(24,40,28)s(24,48,20)*s(24,40,28)t(24,48,12)-*
t(16,56,12)s(32,40,20)t(24,40,28)c(40,48,12)--+
c(40,32,20)c(24,48,12)-t(32,32,20)s(24,40,20)+*
t(24,32,28)s(32,16,20)c(40,48,12)++t(40,40,20)-
s(16,8,12)t(24,48,12)+c(24,24,20)+s(40,16,20)*
s(24,32,20)s(32,24,12)-t(32,40,28)c(40,24,20)*-
s(32,32,28)s(24,32,20)c(16,16,12)--s(16,32,20)-
s(8,32,12)s(40,8,12)s(16,48,12)++c(32,32,28)*
c(32,40,12)t(24,48,28)s(16,48,12)-+t(24,40,28)*
s(24,32,20)t(16,32,12)s(40,40,28)+t(24,40,12)-*
s(32,24,20)c(24,32,20)*s(40,32,12)t(32,24,20)+*
s(32,16,12)t(16,40,12)c(24,40,12)+s(40,40,12)++
s(32,24,20)s(40,16,20)*t(40,32,12)+c(40,32,20)*
s(40,32,12)s(16,16,20)s(16,24,20)*+s(32,40,28)*
s(8,16,12)s(32,40,28)+s(16,40,20)s(8,24,12)+*
c(32,40,20)s(32,8,12)t(40,32,20)+s(48,16,20)+*
s(24,40,20)c(24,16,12)+s(8,32,12)-s(32,8,12)-
t(32,32,28)s(40,24,28)*s(40,32,20)*t(24,24,12)-
s(16,48,20)t(24,40,28)t(24,40,20)t(32,40,28)*--
t(16,48,12)c(32,24,20)t(40,16,12)-t(40,40,12)-+
t(32,32,28)t(32,48,28)s(40,48,20)*+c(24,40,20)*
s(40,40,28)c(40,32,12)-t(32,56,12)t(48,48,12)+-
s(48,24,12)t(24,40,28)s(32,32,20)*t(24,32,20)*+
c(24,24,20)t(24,32,28)s(8,40,12)-+c(24,32,20)*
t(24,40,20)s(32,24,28)s(32,32,28)c(24,32,20)**+
c(32,32,12)s(32,40,20)s(24,32,28)s(32,24,20)*-+
c(32,24,20)t(32,40,28)t(24,48,28)*-t(24,40,28)-
c(40,32,12)s(16,32,12)s(48,24,12)++t(32,40,20)-
s(40,48,20)t(32,48,28)*s(48,32,20)c(32,40,12)++
t(48,16,12)t(32,40,20)+t(24,24,20)s(48,40,20)+-
s(40,40,28)s(40,48,12)c(24,40,20)+*s(40,32,20)*
t(32,48,28)s(24,40,20)s(32,48,20)+s(32,32,20)**
t(24,40,28)c(32,32,28)s(40,32,20)--s(24,48,20)+
s(32,40,28)t(40,24,20)s(48,24,20)c(40,32,20)*+*
s(40,40,28)c(32,32,28)s(16,48,12)-s(24,16,20)*-
c(32,16,12)c(40,32,20)+s(32,24,20)s(24,40,20)--
t(32,40,28)c(24,32,20)+s(8,40,12)-s(48,8,12)+
s(24,40,28)c(40,40,12)-s(48,32,20)+s(32,40,20)*
t(32,32,20)t(24,16,12)s(24,48,20)+s(24,16,12)-+
s(48,8,12)c(24,32,12)+s(16,24,20)t(24,32,12)-+
c(32,24,20)c(48,32,12)s(16,16,20)+s(24,32,28)**
s(16,8,12)c(24,32,12)c(16,24,12)+s(16,48,20)-+
c(32,40,20)s(40,40,20)*t(48,32,12)+c(24,32,20)*
s(32,24,28)t(24,32,28)s(24,32,28)s(24,16,12)-**
c(32,40,20)s(48,24,20)+c(24,48,12)c(40,40,20)+*
c(24,16,12)s(48,32,12)c(32,16,12)+c(32,40,12)++
c(16,48,12)s(24,48,20)c(16,32,12)-t(32,48,28)*+
t(40,32,20)s(16,32,12)+s(32,32,20)*s(48,16,20)-
c(24,24,20)s(32,32,28)s(40,24,28)s(32,16,20)*-*
s(32,24,28)c(48,24,12)t(40,40,20)s(48,40,12)++*
s(16,48,20)s(40,40,28)t(48,48,12)-s(32,24,28)--
c(24,32,20)t(16,16,12)t(24,40,28)t(32,40,12)-+*
s(16,48,20)c(24,40,20)c(40,40,12)-s(40,24,20)-*
c(32,24,20)t(40,56,12)+s(24,32,28)*t(40,40,12)-
t(40,48,20)c(24,24,20)-s(32,24,20)+s(32,16,12)-
t(32,40,28)s(48,40,12)c(24,32,20)+s(32,24,28)**
s(32,24,20)s(48,24,20)t(24,16,12)+c(24,32,20)--
s(24,40,20)s(24,48,20)t(40,56,12)+c(32,32,28)**
t(16,32,12)t(32,48,28)s(48,48,20)+t(32,48,20)-+
s(40,8,12)s(16,24,12)+s(48,40,12)c(32,24,12)+-
s(32,32,28)t(40,48,20)+s(24,32,28)c(24,16,12)-*
t(32,32,28)s(40,32,28)*c(16,24,12)s(8,48,12)++
s(40,40,28)s(32,32,20)*s(24,16,12)c(32,40,12)+*
c(40,32,20)t(32,16,12)-s(24,32,12)c(40,40,20)+*
s(48,32,20)s(16,24,12)t(24,48,12)++c(48,24,12)-
s(24,24,20)t(32,32,20)s(16,48,20)+c(32,32,28)**
c(32,24,20)s(16,24,20)-t(32,56,12)s(48,40,12)+-
s(24,32,28)c(40,32,20)*s(48,32,12)-s(24,16,12)-
t(32,48,28)c(32,32,28)*s(32,16,20)s(24,24,28)*+
s(24,40,28)c(32,32,20)s(16,48,20)+*c(40,40,20)-
c(32,32,28)s(48,24,20)-s(8,40,12)-t(32,48,20)*
s(24,24,20)t(16,56,12)s(24,40,20)++c(16,32,12)-
s(48,32,20)c(40,24,20)*c(40,40,12)t(16,16,12)+-
c(24,24,20)s(32,16,12)t(24,32,28)++t(16,24,12)-
c(32,32,12)c(16,48,12)c(48,48,12)++t(32,32,20)*
c(40,40,12)t(32,40,28)s(40,32,20)c(40,24,20)**+
t(24,32,28)s(40,48,20)s(48,16,20)t(32,32,28)-+-
t(32,40,28)s(40,40,28)c(48,48,12)-*t(32,32,12)-
s(32,32,20)s(32,24,12)-t(24,32,12)+s(24,32,28)*
c(32,24,20)s(40,40,28)t(24,48,28)t(24,48,20)--*
s(40,8,12)c(24,32,20)s(32,24,28)*+t(32,32,28)-
c(32,32,28)s(24,32,28)s(40,32,28)s(32,24,12)-*-
s(40,32,20)s(16,16,12)s(24,40,28)++s(16,48,20)*
t(24,32,28)t(32,40,28)t(24,32,20)s(32,40,20)+**
c(16,40,12)t(24,24,20)s(32,24,20)c(24,32,20)**+
s(32,32,20)c(48,16,12)+s(48,32,20)s(40,16,12)-*
s(32,24,28)s(16,32,12)-t(32,32,28)*s(32,48,12)-
s(40,24,20)c(48,16,12)-t(24,40,20)+s(16,32,20)-
c(32,40,20)s(24,48,20)s(24,40,20)c(16,48,12)-+*
t(32,48,28)s(48,32,20)-s(48,48,12)c(24,40,20)+*
t(32,32,28)s(24,40,20)s(32,48,20)*-s(32,32,20)*
s(32,16,20)c(32,40,20)t(24,32,20)-+s(16,48,20)-
c(48,32,12)s(48,48,20)s(40,32,12)+s(32,40,12)-+
t(24,48,28)c(24,32,12)c(16,40,12)+*c(40,40,20)+
s(32,40,28)s(32,48,20)s(16,16,20)+*t(32,24,20)+
s(40,24,28)t(40,32,12)-t(32,24,20)-t(24,40,28)-
s(40,40,20)s(24,32,28)+s(40,24,20)*s(40,48,20)-
c(24,40,20)c(32,40,20)*c(40,40,12)-t(24,48,12)-
c(40,24,12)t(48,56,12)+s(32,32,20)s(24,40,28)*-
s(40,40,28)s(24,24,12)t(48,24,12)+-t(32,40,28)-
s(48,48,20)s(40,32,28)s(32,40,20)--s(48,48,12)-
s(16,32,20)c(24,32,20)*s(24,24,20)*s(24,48,12)+
s(32,48,20)s(8,24,12)+c(32,32,12)-s(32,32,20)+
s(40,24,20)s(48,24,20)*s(32,16,20)c(24,24,20)*-
c(24,24,20)t(24,48,20)-s(32,48,20)+c(32,40,20)*
t(24,48,12)t(48,56,12)t(32,32,20)++s(24,40,28)*
s(32,24,28)s(24,24,28)+s(32,40,12)-c(16,16,12)-
s(32,32,28)c(32,32,28)s(24,32,20)-s(40,32,28)**
c(40,40,20)s(32,16,20)+s(32,8,12)-c(32,40,20)*
t(24,32,28)s(32,48,20)+s(24,32,20)c(24,16,12)-*
c(24,32,20)s(40,16,20)+s(16,32,20)*s(8,24,12)-
c(32,32,12)s(24,48,20)s(40,24,20)t(24,32,28)+*+
s(24,16,20)t(40,40,20)c(24,24,20)+t(24,32,28)**
s(24,40,28)t(32,32,20)-t(40,32,20)s(8,8,12)++
t(48,24,12)c(40,32,12)+t(32,40,20)c(32,24,20)+*
c(40,40,20)s(40,40,28)c(48,48,12)-c(24,40,20)**
s(48,40,20)c(32,24,12)s(16,48,20)++s(16,32,20)*
s(16,40,20)c(16,16,12)+c(48,24,12)s(48,16,12)++
c(24,40,20)s(40,32,28)s(32,40,28)*s(48,40,20)*+
s(24,40,28)t(32,56,12)t(48,48,12)+-s(32,40,28)*
t(24,32,28)s(40,24,28)*c(32,32,20)t(24,40,12)-+
s(32,40,28)t(40,32,20)*s(32,48,12)c(24,16,12)++
s(32,16,20)s(24,24,20)c(16,40,12)+s(24,24,28)*-
s(48,24,20)s(32,32,20)c(40,40,20)*s(16,48,20)--
s(24,32,28)t(32,40,28)*c(24,16,12)-t(32,24,12)+
s(16,40,20)s(24,40,28)s(40,32,28)s(16,48,20)--*
c(48,40,12)s(24,16,20)+c(32,24,20)+s(24,24,20)-
s(8,32,12)s(16,16,20)+s(32,40,28)-s(24,32,12)+
t(32,32,28)c(24,32,20)s(40,40,28)*c(24,40,12)+*
t(32,32,20)c(16,32,12)t(24,16,12)+s(16,32,20)*-
c(32,32,28)t(40,24,20)-s(24,16,20)-t(32,32,28)*
t(24,32,28)s(24,48,12)-t(40,24,20)s(40,48,20)--
t(24,24,20)t(24,40,28)t(24,48,20)*+s(8,40,12)+
s(16,48,12)s(48,48,20)s(32,40,28)*+t(40,56,12)-
c(40,40,20)c(24,40,20)*s(48,40,20)s(40,8,12)++
c(32,24,20)s(32,32,28)t(24,40,28)s(40,24,28)*-*
t(24,40,28)t(32,32,28)s(24,32,28)*s(40,32,20)*-
s(40,24,20)c(24,40,20)s(32,40,20)*t(24,32,28)*-
s(40,16,12)t(32,32,28)+t(40,40,20)s(48,24,12)-+
s(32,32,20)c(24,40,20)t(32,40,20)-s(48,16,20)+-
s(24,24,20)c(24,40,20)+c(48,16,12)+c(24,40,12)-
s(40,32,28)c(40,48,12)-s(16,32,20)-s(48,16,20)*
c(24,24,20)s(24,32,20)s(48,40,20)s(40,40,20)*--
s(32,32,28)c(32,40,20)*c(24,48,12)-s(32,24,12)-
s(24,40,28)s(32,24,28)s(32,40,28)*s(16,48,20)-*
t(24,56,12)c(32,40,12)+c(40,40,20)*s(40,24,20)+
c(40,32,20)c(32,16,12)-s(40,40,20)*s(24,32,12)+
c(16,24,12)s(32,48,20)+c(40,24,20)-c(32,40,12)-
c(16,16,12)s(32,40,28)+c(32,48,12)-t(40,40,20)-
c(40,24,20)t(32,24,20)s(48,16,12)+t(24,56,12)++
s(8,48,12)s(48,16,20)c(24,24,20)++s(24,16,12)-
s(24,24,20)c(32,48,12)+t(24,48,28)-c(32,32,20)+
t(24,32,28)t(40,48,12)s(40,16,20)+t(40,24,12)--
s(16,40,20)s(48,40,20)t(24,24,12)+c(32,32,20)+*
s(24,32,20)t(32,40,28)s(16,48,20)t(24,24,20)+**
t(32,32,28)t(40,40,20)s(32,40,20)c(24,48,12)+*-
t(40,40,20)s(16,32,20)+s(40,32,20)-s(32,40,28)*
c(32,24,20)s(16,48,12)+t(48,40,12)c(40,40,12)++
t(24,32,28)t(24,40,20)*s(16,48,12)+s(24,16,12)+
s(16,40,20)s(16,32,20)s(16,8,12)s(40,24,20)+-+
c(32,48,12)t(32,40,28)s(40,32,28)*t(32,48,28)*+
t(16,24,12)c(24,48,12)s(40,32,12)++s(40,32,28)*
s(32,32,28)t(40,32,20)-c(32,40,20)-c(32,32,20)+
t(32,24,12)t(24,32,28)c(24,32,20)c(40,40,20)*-+
s(8,8,12)t(40,32,20)s(40,16,20)+s(24,24,28)*+
s(32,32,20)s(24,24,12)-s(32,16,12)+t(40,40,20)+
c(24,32,20)s(24,32,28)c(32,48,12)-s(16,32,20)**
s(40,32,28)t(24,48,28)c(24,40,20)s(48,32,12)+**
s(40,32,28)s(40,48,20)c(32,48,12)s(24,32,20)+*-
s(32,32,28)s(32,32,12)-s(8,8,12)+c(40,40,20)+
s(16,40,20)c(24,32,20)c(32,40,20)*s(8,16,12)+*
s(40,24,28)s(32,48,20)c(32,24,12)s(16,48,20)+*+
s(16,8,12)s(24,40,20)s(16,48,20)*+s(24,24,28)*
c(40,32,20)s(32,48,20)t(32,32,28)-s(32,32,20)+*
s(8,24,12)s(24,32,20)s(8,40,12)-t(24,40,28)*+
t(40,40,12)s(32,16,12)+s(24,48,20)c(24,40,20)*-
t(40,32,20)c(48,48,12)+t(40,56,12)-s(48,40,12)-
s(16,32,20)s(40,32,20)-s(32,32,20)+s(24,48,12)-
t(32,48,28)c(16,48,12)+c(32,32,28)s(16,40,20)**
s(40,24,28)s(24,32,28)c(32,24,20)**t(32,24,20)*
t(40,32,20)c(40,24,20)t(32,16,12)-s(32,16,20)-+
s(40,24,28)s(40,40,28)s(32,24,28)-s(48,32,20)+-
s(40,24,28)t(32,32,28)*t(40,32,20)s(16,32,20)++
s(24,16,20)s(40,24,28)*c(32,32,20)c(24,24,12)--
t(32,16,12)t(32,56,12)+t(48,56,12)t(32,24,20)++
s(40,32,28)t(32,40,28)+s(24,48,20)-c(24,24,20)*
s(24,40,20)t(32,40,28)*c(16,32,12)+s(24,24,20)-
s(32,16,20)c(16,32,12)s(32,24,20)+s(40,48,20)-+
s(48,48,20)t(32,32,28)c(24,32,20)c(24,24,20)**+
s(16,40,12)s(40,24,28)+s(32,32,28)s(40,24,20)-*
s(40,24,28)c(40,32,20)+c(32,40,20)*s(40,24,20)*
c(32,40,20)c(32,32,28)t(24,48,20)c(32,32,12)--*
c(32,32,20)t(24,48,20)+s(24,32,20)*s(24,24,20)*
s(32,32,20)c(48,24,12)-c(24,40,12)c(48,24,12)+-
t(16,40,12)c(32,24,20)+s(40,24,28)t(40,32,20)-*
c(24,48,12)s(8,24,12)+t(40,48,20)+s(24,40,28)+
c(40,40,20)s(24,24,28)+c(40,32,12)-s(40,16,20)-
c(24,24,20)s(16,16,20)-c(32,16,12)t(32,40,20)+*
s(48,16,12)c(24,16,12)+c(32,24,20)s(16,16,12)+*
s(40,40,28)s(16,40,20)s(24,32,28)*s(8,24,12)-+
c(24,32,20)s(16,24,20)t(40,40,12)+*s(40,40,20)+
s(24,24,28)t(24,24,20)s(40,32,20)t(40,40,12)-+*
s(8,8,12)c(32,32,20)s(48,32,20)-+s(32,40,12)-
s(24,8,12)t(40,24,20)s(40,32,20)*+t(48,56,12)+
t(40,32,20)s(8,16,12)c(24,16,12)+t(24,32,20)-+
s(40,32,28)s(32,32,28)*s(16,16,20)-c(24,24,12)-
c(24,24,20)t(32,48,28)+s(40,24,12)-s(32,32,28)*
t(32,32,28)c(24,16,12)-c(40,16,12)c(24,40,12)+*
c(40,24,20)t(48,40,12)-c(40,24,12)t(48,56,12)+*
s(24,32,20)s(32,48,20)t(24,56,12)-c(48,48,12)--
t(48,48,12)s(48,32,20)+s(24,40,12)c(16,16,12)++
t(32,56,12)t(40,32,12)+s(32,16,20)+s(40,32,20)-
c(24,24,20)s(40,24,20)-s(16,40,20)t(24,48,28)*-
t(32,24,20)c(40,40,20)+t(24,32,28)+s(24,32,12)-
s(24,24,20)c(16,24,12)t(24,48,28)+s(32,32,20)*-
s(48,16,20)c(16,32,12)+t(24,32,20)c(32,16,12)+*
c(32,24,20)s(40,48,20)-s(32,32,28)*s(40,40,28)*
c(24,40,20)c(40,40,20)c(24,32,20)*t(32,32,28)*-
s(40,24,28)s(48,16,20)-s(24,40,28)*c(32,48,12)+
t(24,48,28)c(32,32,12)+c(32,32,28)*s(16,40,20)-
t(24,40,20)t(32,24,20)s(32,16,12)s(24,40,20)+*-
s(24,24,20)s(48,16,20)t(24,48,28)++t(24,48,28)-
s(48,48,20)s(40,40,12)s(32,16,20)+-s(40,32,28)+
s(16,16,20)s(16,48,12)c(16,24,12)+-c(24,32,20)-
s(8,32,12)s(16,16,12)+s(16,8,12)+t(24,40,28)-
s(16,32,12)c(40,16,12)+s(40,24,20)c(24,24,20)*+
t(24,32,28)s(32,32,20)s(40,24,20)*-t(40,48,20)-
s(32,32,28)s(24,24,28)t(24,32,20)-*s(16,8,12)+
s(16,40,20)s(24,48,20)-s(24,24,20)+s(40,32,12)-
s(32,40,28)c(32,32,20)*s(16,24,20)s(40,16,20)++
s(40,32,20)s(48,32,20)s(48,40,20)**s(32,40,28)*
s(48,24,20)s(48,40,12)t(40,24,20)s(24,40,20)++*
t(32,32,28)c(40,24,20)*c(40,40,20)*c(24,24,12)+
s(40,24,28)c(24,40,12)t(24,56,12)t(40,24,12)++*
s(48,16,20)c(40,32,20)+s(32,40,20)t(40,48,12)--
s(48,24,20)s(24,32,20)-c(40,24,12)+c(40,24,20)*
c(40,48,12)s(40,40,28)s(32,24,28)*c(40,24,20)*+
t(32,32,28)s(40,48,20)s(48,8,12)t(32,24,12)++*
s(40,24,20)s(40,40,28)*s(48,24,20)c(32,40,20)--
t(40,40,20)s(40,24,28)t(40,32,20)-t(32,56,12)++
s(40,16,20)s(40,32,28)*s(32,24,20)s(24,32,20)*+
c(40,32,20)c(32,48,12)t(16,48,12)t(32,24,12)++*
s(32,40,28)s(40,24,20)s(16,32,20)-t(32,48,20)+*
s(16,24,20)t(24,40,28)-t(40,32,20)c(24,24,12)+-
s(40,32,28)c(24,40,20)-t(32,32,20)c(40,40,20)+*
s(16,24,20)c(40,40,20)s(8,32,12)c(40,32,20)+*-
c(24,40,20)c(32,40,12)c(40,24,12)++c(40,32,20)*
c(32,40,20)t(32,40,28)t(24,48,20)s(40,48,12)--*
s(32,48,20)s(16,16,20)t(40,32,20)++t(40,48,20)-
s(24,24,28)t(40,16,12)c(48,48,12)+c(40,32,20)+*
s(48,16,20)s(24,24,20)t(16,48,12)+t(32,48,20)+-
c(32,32,28)t(32,16,12)s(24,40,20)+-s(32,40,28)*
t(48,16,12)c(32,24,20)s(40,16,20)t(40,24,12)-*+
s(16,48,20)s(16,16,20)+t(32,48,20)s(40,24,28)--
s(32,16,12)s(16,40,20)c(24,24,20)-+c(24,48,12)-
s(40,24,20)t(24,24,12)-c(32,24,20)+c(32,40,20)*
c(24,32,20)s(16,40,12)t(32,16,12)+s(32,32,28)*-
c(24,24,12)t(40,32,12)+s(32,40,20)s(32,32,20)*+
s(40,40,28)s(32,48,20)-s(40,40,20)t(48,24,12)--
s(24,48,20)s(48,48,12)+c(24,32,20)-t(16,32,12)+
c(32,32,28)c(32,24,20)s(40,32,12)-t(24,32,12)--
s(16,48,20)t(24,32,12)-t(32,40,20)s(16,40,12)--
s(32,32,20)s(24,40,28)s(48,48,20)t(48,24,12)+-*
t(24,56,12)c(32,40,20)s(16,32,20)s(16,40,20)+*+
c(40,40,20)c(32,32,20)c(48,32,12)t(24,24,20)+**
t(24,32,28)s(24,32,28)c(32,40,20)**s(48,32,20)-
t(24,32,28)s(32,40,28)*t(16,16,12)t(32,40,12)++
s(24,40,20)t(32,40,28)s(40,40,12)-s(16,32,12)-*
s(32,32,28)s(40,32,28)t(24,56,12)+c(40,32,12)-*
s(40,24,20)c(32,24,20)+c(32,40,20)s(32,24,20)*-
s(16,16,20)c(24,24,20)*t(32,32,28)c(32,24,20)*-
s(16,32,12)c(32,24,12)s(40,48,20)+c(24,32,20)-+
c(32,24,20)s(16,40,12)+s(32,40,28)s(48,24,20)-*
s(40,40,20)t(32,48,28)+c(32,24,12)-s(32,16,20)+
s(32,40,28)t(24,32,12)-s(24,40,20)s(40,40,20)*-
c(32,32,28)c(40,24,20)-s(40,32,20)-t(24,40,28)*
t(32,24,12)c(32,16,12)t(32,40,12)+t(24,40,12)-+
s(40,48,20)c(40,24,20)s(32,24,20)*s(32,32,20)*-
c(24,32,20)c(32,24,20)c(40,32,20)+s(32,24,28)**
t(32,16,12)c(24,24,20)t(24,24,12)-c(40,24,12)-+
c(48,16,12)t(24,32,28)c(24,32,20)++t(24,40,12)-
s(32,40,28)c(40,24,20)s(40,16,20)s(32,40,20)---
s(40,32,28)s(40,24,20)t(32,40,20)-*s(48,8,12)-
s(24,32,20)t(16,32,12)-t(32,40,20)+t(32,32,12)-
s(40,48,20)s(32,40,28)+c(32,24,20)-s(32,48,20)*
t(24,24,20)s(24,32,20)+s(24,8,12)c(24,40,12)+-
t(32,32,28)t(24,32,20)s(40,16,20)+s(32,32,20)**
s(32,40,28)s(24,48,12)-s(16,48,20)-s(32,24,12)-
t(24,40,28)c(24,32,12)s(16,24,12)s(40,24,12)++*
s(40,32,28)s(40,48,20)-t(24,40,28)s(40,40,28)*-
s(32,32,20)s(40,24,28)*s(32,40,28)s(8,32,12)+*
s(40,40,12)s(16,48,12)+t(32,32,12)+s(8,40,12)-
s(40,24,12)t(32,32,20)s(40,48,20)t(24,32,20)--+
s(40,24,28)s(24,24,28)t(32,16,12)-s(24,8,12)-*
t(24,48,28)s(24,32,28)+c(32,16,12)c(40,48,12)+-
s(48,40,12)s(24,16,20)s(24,32,28)+t(24,40,28)*+
c(24,24,20)t(24,32,20)c(32,24,20)*-c(16,32,12)-
s(40,32,28)t(24,48,20)-s(40,24,20)s(32,24,20)**
s(48,24,20)c(32,32,28)s(48,24,12)-c(24,24,20)*+
s(40,32,28)s(32,32,12)-s(16,24,20)s(40,32,20)--
c(32,24,12)t(48,48,12)+s(40,48,20)s(24,32,28)-+
c(24,16,12)s(40,32,20)+s(24,40,28)*s(40,40,20)*
s(48,16,20)s(24,24,20)s(16,8,12)++s(48,32,20)*
s(16,40,20)t(40,16,12)+s(40,16,12)-c(24,32,12)-
c(16,32,12)s(32,32,20)+t(32,40,28)s(48,40,12)--
s(24,24,28)s(40,40,20)c(16,40,12)+s(16,40,20)--
s(40,32,20)c(24,40,20)t(24,40,20)-+s(24,16,20)+
s(16,48,20)s(24,16,20)s(32,24,28)*+s(24,16,20)*
s(16,32,20)s(32,24,20)+c(24,40,20)t(24,32,12)-*
c(32,24,20)t(32,40,28)s(32,24,28)*s(16,32,20)+-
c(48,48,12)c(32,24,20)s(40,16,12)-s(24,48,20)++
t(24,32,28)t(32,48,20)s(40,40,28)s(24,24,28)*+*
s(24,24,28)t(40,48,12)s(32,32,20)s(24,24,20)-++
c(40,40,20)t(48,56,12)s(40,32,28)s(24,24,20)-+*
c(32,16,12)s(40,16,20)t(32,24,12)c(40,24,12)+*+
t(24,40,12)c(16,48,12)c(24,24,20)+s(40,24,28)*+
s(40,24,28)s(48,8,12)s(48,24,20)+c(40,16,12)-*
s(40,16,20)c(32,32,20)c(32,48,12)+s(48,48,12)+-
s(32,40,28)t(24,40,28)t(32,32,28)*-s(40,40,20)*
t(32,40,28)s(16,32,20)t(40,40,20)+t(24,40,28)*-
t(32,40,28)c(40,48,12)t(40,40,12)+-t(32,16,12)-
c(32,40,20)s(32,40,28)s(24,40,28)s(16,24,20)---
c(32,32,20)s(24,24,28)+t(32,48,28)*t(24,32,12)-
s(40,32,20)c(32,16,12)-s(24,32,28)s(40,40,28)*+
c(32,32,28)s(48,48,12)-t(40,40,20)-s(32,40,20)*
s(24,32,28)s(48,24,20)s(24,24,28)t(32,32,28)*+*
s(24,16,20)t(32,32,20)s(32,40,20)*+s(32,32,28)*
s(40,24,28)s(48,16,20)*t(48,40,12)+t(32,24,20)+
t(24,32,20)t(32,32,28)t(24,48,20)-s(24,48,20)+*
t(32,40,28)s(40,48,20)c(24,40,20)s(48,32,20)+**
s(24,40,28)t(32,40,20)-t(40,40,20)+s(24,32,20)*
s(24,24,28)s(40,40,12)-s(24,24,28)s(32,32,28)**
c(40,16,12)s(24,24,20)+s(32,32,20)*c(32,48,12)+
c(40,24,20)s(32,32,20)s(16,24,12)-s(32,48,20)*-
s(24,32,20)c(32,48,12)s(40,32,12)+s(40,32,20)*-
t(32,32,28)s(24,24,28)s(32,32,20)s(24,24,28)*--
s(48,16,20)s(40,24,20)s(24,40,28)s(16,48,12)-+*
c(24,24,20)s(8,32,12)-t(32,32,28)s(40,8,12)+*
s(40,32,28)s(8,40,12)+c(48,32,12)s(8,24,12)+-
s(32,32,28)s(40,40,20)t(32,24,12)-t(32,48,28)*-
c(16,48,12)s(40,24,12)t(24,32,12)++c(24,40,20)*
s(16,24,20)t(32,48,28)+t(32,32,28)t(32,32,20)--
t(24,32,28)s(16,32,20)c(24,32,20)**s(32,32,28)*
s(16,16,12)t(32,48,12)s(40,24,28)+s(48,24,20)-+
t(24,40,28)s(48,48,20)+t(16,48,12)-t(32,40,20)*
s(24,24,28)t(32,32,28)*c(24,24,20)*s(24,32,12)-
s(40,32,28)c(32,32,20)s(32,24,28)**t(24,16,12)-
c(24,32,20)t(24,48,28)*t(40,48,20)s(48,32,20)+-
s(40,24,28)s(32,40,28)s(16,48,20)-*s(40,16,12)+
t(48,48,12)c(24,32,20)+t(32,32,12)-s(32,32,28)*
s(24,40,28)t(16,40,12)-s(48,40,12)c(32,32,12)+*
s(24,32,20)t(32,24,20)s(32,32,20)c(24,24,20)**-
s(48,32,20)s(40,40,28)*c(24,24,20)s(32,24,20)*-
s(32,16,20)s(40,24,28)s(40,40,20)s(16,8,12)+*-
s(8,24,12)c(48,32,12)+s(32,32,28)t(40,24,20)*+
t(24,40,28)s(24,24,20)+c(32,32,28)t(24,32,28)-*
s(24,32,28)c(40,40,20)*t(40,24,12)+s(32,48,20)*
c(24,24,20)s(32,40,20)-s(40,8,12)-s(32,32,28)*
s(24,24,28)c(32,40,20)t(16,16,12)+*c(24,32,12)-
s(40,48,20)s(32,40,20)t(32,48,28)*s(48,16,12)+*
s(32,32,28)c(16,48,12)+c(24,48,12)-t(24,40,28)*
s(48,32,20)c(24,40,20)-c(32,32,20)s(40,48,20)*-
s(48,48,20)c(32,40,20)c(40,24,20)c(24,32,20)**-
s(24,40,28)c(32,32,20)t(24,32,28)s(16,40,12)---
s(16,48,20)s(24,32,28)s(16,40,20)**c(16,32,12)+
c(48,24,12)t(24,24,20)+c(24,40,20)-s(24,16,12)-
t(40,24,20)s(40,48,20)c(40,40,20)*+s(8,32,12)+
s(32,40,28)c(32,32,12)-s(40,40,20)s(16,40,20)+*
s(24,40,20)s(32,24,20)c(24,32,20)s(40,8,12)+*-
c(32,40,20)s(32,16,20)-t(48,32,12)-s(40,40,28)*
c(24,32,20)s(32,32,28)t(32,32,28)c(24,40,20)*-+
c(32,48,12)s(32,16,20)+s(40,8,12)-s(16,8,12)-
t(24,40,28)s(32,32,28)*c(32,24,20)s(24,32,28)**
t(40,24,20)s(40,32,20)s(32,24,28)t(24,40,28)*+*
s(16,32,12)t(40,48,20)+s(40,32,20)-t(40,40,20)-
s(24,32,20)s(24,48,20)*s(32,24,20)t(32,40,28)*+
c(24,40,20)c(40,16,12)+s(32,24,20)*s(40,24,12)-
s(24,48,20)t(32,32,20)-t(24,24,20)c(24,40,12)+-
s(48,48,20)s(32,24,28)t(40,40,12)t(16,56,12)++-
c(24,24,20)s(32,16,20)c(40,24,20)+t(40,32,12)-*
c(32,32,28)t(24,48,28)c(24,40,20)*s(48,48,20)+-
s(24,24,28)c(24,40,12)-s(32,24,20)s(48,16,12)+*
s(24,40,28)t(40,24,20)s(48,24,20)*-s(24,48,20)*
s(48,40,20)c(32,40,20)s(24,48,12)c(40,24,20)+*-
t(40,48,20)s(40,8,12)+s(48,8,12)s(32,48,12)+-
s(16,32,12)c(48,16,12)+s(40,32,28)c(32,32,12)-+
s(24,40,28)c(32,32,20)t(32,24,12)-*s(24,16,12)+
s(24,16,12)t(24,48,20)+s(16,32,20)-s(48,48,20)-
c(32,32,28)t(32,48,28)s(24,32,20)+*c(32,32,20)-
s(16,32,20)t(24,32,12)-t(24,48,28)+s(32,40,28)*
t(24,48,20)t(32,40,20)+c(32,40,20)c(24,24,20)*-
s(40,32,28)s(16,24,20)s(24,32,20)c(32,32,20)*-+
s(40,40,28)t(40,56,12)s(16,16,20)t(32,32,12)+++
c(40,40,20)c(40,32,20)*c(40,40,20)t(24,24,20)-*
s(24,24,12)s(48,32,20)t(24,32,28)-+s(16,40,20)+
s(40,24,20)s(24,48,12)+t(32,32,28)c(40,24,20)**
s(40,24,28)c(48,16,12)s(16,16,20)s(24,24,20)*+-
t(32,32,28)s(16,40,20)-t(24,24,20)s(16,16,12)+-
t(32,40,12)s(16,24,20)c(16,24,12)-+s(16,40,12)-
t(16,24,12)t(32,32,28)c(24,32,20)*+c(40,40,12)+
t(24,16,12)s(32,32,20)+c(24,16,12)-c(40,24,12)-
c(24,32,12)s(24,16,20)+t(32,40,20)c(40,32,20)*-
s(32,32,20)c(32,24,20)t(40,24,12)-s(40,32,28)**
c(24,24,20)c(16,24,12)-t(16,32,12)c(32,16,12)+-
s(24,48,12)s(40,24,28)+t(24,32,28)-c(40,32,20)*
t(40,56,12)t(24,56,12)+c(24,32,20)s(40,32,28)*+
c(32,40,20)t(32,32,12)-s(32,40,12)-t(32,40,28)*
t(32,48,28)t(32,32,28)t(40,48,20)s(16,48,20)+*-
c(24,24,20)c(24,48,12)c(24,16,12)+t(40,40,20)-*
s(32,40,28)s(24,24,28)c(32,32,28)t(24,48,28)*-*
c(40,32,20)s(40,16,20)*s(24,40,12)c(16,48,12)++
t(32,48,28)s(32,40,20)c(16,24,12)-*t(32,48,20)*
c(24,32,20)t(24,32,28)*t(16,32,12)-s(40,32,28)*
t(32,32,28)t(16,48,12)+s(40,40,20)c(48,32,12)++
s(16,24,20)s(40,24,28)s(40,32,28)*s(40,40,28)*-
c(24,32,20)c(32,32,20)t(24,32,28)-c(24,24,12)+*
s(48,16,20)s(24,48,20)s(40,24,28)c(24,24,12)-+*
s(32,24,28)s(40,16,20)*s(24,40,20)c(24,32,20)*-
s(40,40,28)s(24,32,20)c(32,40,20)t(24,40,28)*+-
s(16,16,20)s(32,24,28)*s(40,40,28)+t(48,48,12)-
s(8,32,12)s(24,32,20)t(32,32,20)*s(40,40,20)++
c(40,24,20)t(32,32,28)s(24,32,20)t(32,48,28)+*-
s(40,32,20)t(32,40,20)s(24,24,12)+-t(16,40,12)+
c(40,32,20)c(24,24,20)s(24,32,28)c(32,32,20)***
s(40,32,20)s(32,48,12)+s(24,40,28)t(24,32,20)-+
c(32,24,12)c(40,24,20)c(32,16,12)-+s(24,32,28)*
c(40,32,20)c(24,48,12)+c(48,32,12)c(32,24,12)+-
t(24,48,20)s(16,32,20)c(24,40,20)*+s(32,16,20)-
s(40,32,12)s(16,16,20)+s(32,16,20)+s(16,16,12)-
t(32,48,28)s(24,40,28)*s(16,48,20)-s(40,16,20)+
s(32,32,12)s(16,16,20)t(32,24,20)s(24,24,20)*-+
c(16,40,12)s(48,40,20)+t(24,32,28)-s(40,32,20)-
t(32,40,28)c(40,32,12)-t(16,56,12)s(16,24,12)+-
s(40,48,20)s(24,32,12)+s(16,16,20)c(32,32,28)*-
s(24,32,20)s(32,48,20)s(40,8,12)++s(40,40,20)*
c(32,32,28)t(32,32,20)-s(24,48,12)t(40,24,20)+*
s(40,24,20)t(40,48,12)s(40,32,12)++t(16,32,12)+
t(40,48,20)s(24,16,20)+s(16,32,20)-s(16,16,20)-
s(40,16,20)s(32,24,20)-s(32,24,12)+t(40,16,12)-
s(24,16,20)s(40,32,28)-c(40,24,20)c(40,40,20)+-
t(48,32,12)s(16,48,20)+s(48,24,20)+s(24,48,12)-
c(40,32,20)s(24,24,12)-t(40,16,12)-c(40,32,12)-
s(40,40,20)s(32,32,28)*c(24,24,20)t(32,40,28)+*
t(40,32,20)s(48,48,12)t(16,48,12)++c(40,40,20)+
s(24,24,28)s(32,24,28)s(32,16,12)-*s(40,32,28)*
s(40,24,28)c(40,32,20)*c(40,32,20)s(40,40,28)**
t(32,48,28)t(40,32,20)s(32,32,12)++s(32,40,28)*
s(32,16,20)s(48,48,20)s(24,40,28)-+s(16,16,20)*
c(48,24,12)t(32,48,28)s(8,16,12)c(32,48,12)+*+
s(32,32,20)s(32,32,28)t(24,32,28)s(40,24,20)-**
t(32,32,28)c(16,40,12)-t(40,16,12)+t(48,32,12)-
s(32,32,20)s(32,48,20)+s(48,32,12)s(40,8,12)+-
t(16,56,12)c(40,40,12)c(24,32,20)+s(32,40,12)-+
s(32,32,20)s(48,32,20)s(40,48,20)-+s(40,40,20)*
c(40,24,20)s(24,24,20)*s(32,48,20)s(16,48,12)++
s(48,24,20)c(40,32,20)s(40,24,28)*t(48,48,12)+*
s(48,16,20)c(40,24,20)s(24,32,28)*+t(40,32,20)*
t(48,16,12)s(16,24,12)s(8,8,12)++s(8,24,12)-
t(40,56,12)t(24,48,20)s(40,24,20)t(32,40,28)+*+
s(40,16,20)s(32,8,12)c(32,24,12)+t(24,32,12)-*
s(24,40,28)s(16,40,12)-s(40,32,28)c(32,32,20)**
s(48,40,20)s(40,32,28)*t(48,40,12)t(40,48,20)+*
s(40,32,20)c(32,32,20)s(40,40,28)**t(32,32,20)*
c(32,24,20)s(32,24,20)s(40,32,20)*t(48,56,12)+*
t(24,32,20)t(24,48,28)+t(24,56,12)s(40,24,28)++
c(32,40,20)t(32,24,12)-c(32,32,20)*s(24,40,20)*
t(16,56,12)t(16,48,12)+t(24,32,12)+c(16,16,12)+
t(40,32,20)t(24,56,12)+s(48,24,12)-s(40,32,28)*
t(24,16,12)s(32,24,28)s(16,16,12)-s(48,16,12)-+
s(32,48,20)c(40,40,20)t(32,32,28)-+s(16,32,20)-
s(8,16,12)c(24,32,20)s(16,16,20)-t(32,48,12)-+
s(48,24,20)s(32,32,12)-s(48,32,20)t(32,32,28)+*
c(24,24,20)c(32,48,12)+t(32,32,28)t(32,24,12)-*
t(40,56,12)s(40,32,28)s(32,24,28)s(32,40,28)+*+
c(24,24,20)s(40,40,28)*s(32,40,12)+s(16,16,12)+
t(32,24,20)s(32,40,28)c(24,32,20)+s(40,32,28)**
c(24,48,12)c(40,40,12)+c(48,32,12)-s(24,40,20)*
c(32,24,20)c(40,40,12)-t(24,40,12)+s(32,48,12)+
s(24,16,20)c(32,32,12)t(16,32,12)c(24,16,12)++*
s(32,48,12)t(24,24,12)t(40,24,12)++c(40,32,12)-
c(16,16,12)s(48,8,12)+s(32,40,28)c(24,40,20)*-
s(40,32,20)s(40,40,20)c(24,40,20)s(24,32,28)*+*
s(32,24,20)s(8,48,12)s(24,16,12)s(32,32,12)++*
s(40,24,28)s(40,8,12)-s(16,24,20)-t(40,24,20)-
s(16,48,20)c(32,32,12)+s(32,48,20)*t(24,48,28)*
c(24,16,12)c(24,32,20)c(24,24,20)*+t(40,48,20)+
s(40,8,12)s(24,32,28)c(16,48,12)s(8,40,12)+-+
c(24,16,12)s(48,48,20)+c(40,32,20)*t(48,48,12)+
s(24,48,20)s(40,32,28)s(24,24,28)*-c(32,40,12)-
s(40,32,28)s(40,24,20)c(40,40,20)--c(24,32,20)-
s(24,40,28)s(40,24,20)s(40,48,20)--s(16,48,20)-
c(32,40,20)s(32,32,20)s(32,24,20)*+s(32,40,12)-
c(24,32,20)t(32,32,20)-s(8,8,12)+s(32,32,28)*
s(16,16,20)c(32,40,20)+t(40,24,12)s(16,32,20)+*
s(32,24,28)t(40,40,20)-s(32,32,12)-c(32,32,28)*
c(32,32,28)s(24,16,20)t(32,40,12)+t(24,32,12)-*
s(40,40,20)t(24,24,20)c(16,32,12)++s(32,24,20)-
c(24,32,20)c(40,40,20)s(24,16,20)c(32,32,20)-+*
c(40,32,20)s(40,24,20)s(24,16,20)s(16,40,20)---
s(32,16,20)t(24,32,28)t(32,40,28)*t(40,32,12)+-
s(32,40,20)s(32,24,28)s(32,8,12)-+s(40,40,12)-
s(40,24,28)s(32,32,28)s(32,48,12)-c(24,16,12)-*
c(32,32,20)t(40,48,20)+s(40,48,12)t(24,48,12)+*
c(40,32,20)s(40,40,20)c(32,24,20)+*s(32,48,20)*
t(32,40,28)t(32,32,28)s(24,40,20)*-t(32,48,20)+
t(24,32,20)c(16,16,12)+t(32,40,28)+c(16,40,12)-
s(32,24,28)t(24,40,28)s(24,32,20)-s(40,16,20)+-
s(16,24,20)s(24,48,20)s(24,24,28)+t(24,40,20)-*
s(32,16,20)s(32,24,20)s(8,40,12)+*s(24,24,20)*
t(24,40,28)c(16,32,12)+s(24,24,28)s(24,32,28)*-
s(32,32,28)c(32,16,12)c(32,48,12)+s(40,40,28)*-
t(24,40,28)s(24,32,12)s(40,40,20)c(32,24,20)*+*
c(40,40,20)s(24,24,12)s(48,40,20)+c(16,32,12)-*
s(40,24,20)t(16,56,12)+s(24,40,20)-s(32,32,20)-
c(40,40,20)t(32,48,28)s(32,40,28)t(40,24,20)-*-
c(24,24,20)s(48,24,20)-t(24,32,28)t(24,32,20)--
c(16,16,12)c(40,40,12)s(24,40,20)++c(32,32,12)-
s(24,16,12)s(40,16,20)s(24,24,12)-+s(24,16,20)*
c(40,32,20)t(24,24,20)s(40,8,12)+s(32,8,12)--
s(40,32,20)s(32,24,12)-c(24,32,12)-s(40,24,28)*
c(32,32,28)s(32,24,28)-s(24,32,28)c(48,16,12)+*
t(24,40,20)c(16,40,12)s(40,48,20)+t(40,32,20)+*
s(24,48,20)s(16,40,12)t(32,48,28)+s(40,32,28)-*
s(32,16,20)t(32,16,12)c(16,32,12)++s(32,24,20)*
s(48,32,20)t(24,48,20)+c(48,16,12)+s(40,32,20)-
s(16,32,20)c(48,16,12)s(24,32,20)t(24,40,28)++*
s(24,32,12)t(40,48,20)+c(24,16,12)+s(16,16,12)-
s(48,24,20)s(40,40,20)+s(24,24,28)-s(32,40,28)*
s(24,32,12)s(40,40,20)c(48,40,12)t(16,40,12)+-+
s(48,8,12)s(24,24,28)s(40,24,20)-t(24,40,28)-+
s(16,40,20)s(24,24,28)s(40,40,12)-s(24,40,28)**
s(40,32,28)t(32,32,12)s(48,32,12)+-s(48,32,20)-
c(24,48,12)c(40,32,12)t(16,48,12)++s(40,32,20)*
t(24,32,28)t(32,24,20)s(40,8,12)+-s(24,32,12)-
c(24,32,20)c(32,24,20)s(32,40,12)-+s(24,24,20)-
s(48,40,20)s(32,40,28)*t(24,40,20)-s(32,16,20)-
s(16,32,12)c(32,32,20)c(32,32,28)s(48,32,12)-*+
s(32,16,20)c(40,32,12)-t(24,48,28)s(16,48,20)++
t(48,16,12)s(40,48,12)+s(24,40,20)s(48,48,20)-+
c(40,24,20)s(40,32,28)*c(32,32,20)s(16,24,20)-*
s(16,48,20)s(24,16,20)+t(32,48,28)s(24,32,12)+*
t(32,48,28)s(48,24,20)t(24,56,12)++c(48,24,12)-
c(40,48,12)c(40,24,20)c(32,32,20)s(24,32,20)+*+
s(8,40,12)s(32,48,20)t(24,32,28)-t(40,40,12)++
c(32,40,20)c(48,48,12)+t(24,40,28)t(40,56,12)+*
s(8,16,12)s(40,40,20)s(24,40,20)*+s(24,32,28)+
s(40,32,28)c(48,16,12)-s(48,32,12)-t(32,24,12)-
s(24,40,28)c(32,40,12)-t(48,40,12)t(32,40,20)+-
c(16,32,12)s(48,24,20)+s(32,40,28)s(40,24,20)*-
s(8,40,12)s(40,16,20)t(48,16,12)-c(40,24,12)-+
s(40,24,20)c(24,24,20)*t(24,40,12)+s(32,8,12)-
s(40,40,28)c(32,40,20)t(48,32,12)-*s(24,40,20)+
t(48,40,12)c(24,32,20)t(24,32,28)s(32,32,12)--+
t(16,40,12)t(40,40,20)c(40,32,12)+s(24,40,12)-+
c(24,24,20)s(40,48,20)s(8,48,12)+t(32,32,28)*-
s(40,40,20)t(24,48,28)s(32,24,20)t(40,40,20)---
s(32,40,28)s(16,16,20)+s(24,48,20)-s(48,40,12)-
s(48,32,12)s(48,48,20)t(24,32,20)+t(48,56,12)-+
c(32,24,20)s(48,16,20)s(40,24,12)--s(32,16,12)-
c(32,32,20)s(40,32,12)-t(24,16,12)-s(24,40,28)*
c(24,40,20)s(32,32,12)-s(16,40,20)t(24,24,20)-*
t(48,56,12)s(32,40,20)+s(48,48,20)-s(48,24,12)+
s(24,32,20)t(24,48,28)t(32,40,12)-s(40,48,12)-+
s(32,24,28)s(40,16,12)-c(48,40,12)-s(24,16,20)*
s(24,16,20)s(8,48,12)c(40,24,20)+t(32,32,20)--
c(32,40,20)s(40,24,20)*t(32,48,20)+t(24,48,28)+
t(32,48,28)t(32,40,28)*t(40,24,20)c(32,40,12)+*
c(40,24,20)t(40,56,12)+s(48,40,12)-t(32,32,28)-
c(40,40,20)t(24,40,28)t(24,24,12)-*s(16,40,12)-
s(32,32,28)c(40,32,20)*c(32,16,12)-s(48,32,20)*
s(24,48,20)s(24,32,12)-c(48,32,12)+c(48,24,12)-
c(40,32,20)c(32,40,20)-s(32,48,20)s(40,32,20)-+
s(40,40,28)c(40,40,20)s(40,16,12)+s(32,24,20)**
s(40,24,28)s(24,8,12)-s(48,32,20)s(32,40,12)-*
s(40,40,28)s(24,24,28)*c(24,24,20)*t(16,40,12)+
t(40,24,12)t(32,32,20)s(8,24,12)+c(32,24,20)*+
c(32,32,20)t(32,40,28)*t(24,40,20)c(40,40,12)--
s(48,40,12)t(24,24,20)s(24,40,20)+s(48,32,20)-+
c(16,16,12)s(48,24,20)s(40,48,20)++t(32,40,28)*
s(32,32,12)c(32,24,20)s(40,40,20)s(40,24,28)**+
t(32,48,28)c(24,40,20)s(8,48,12)-s(32,16,20)+*
s(24,40,28)t(40,40,12)-c(40,16,12)c(24,32,20)+*
t(32,40,28)c(32,32,20)*c(40,24,20)s(40,40,20)*+
c(32,32,28)s(48,48,20)-t(24,40,28)t(32,32,28)**
s(32,32,20)s(24,32,20)+s(24,40,20)-t(16,16,12)+
s(24,48,20)c(24,40,20)s(24,32,20)t(24,40,28)+**
t(24,48,20)c(32,32,12)+s(48,48,20)s(32,32,28)+*
s(16,48,20)s(24,40,28)c(32,40,20)s(32,32,28)**-
s(40,24,28)s(24,16,20)-s(32,32,20)-t(40,24,20)+
s(32,32,20)t(24,40,28)*c(32,32,28)s(16,40,12)-*
s(32,16,20)s(24,24,20)c(32,40,20)t(32,48,28)*+*
s(32,32,20)c(48,32,12)s(32,16,12)+-s(48,48,20)-
t(40,48,20)s(48,24,12)+s(48,40,20)s(48,48,20)+*
t(32,40,28)s(32,32,12)-c(16,48,12)+s(32,32,20)-
s(40,40,28)t(24,48,12)-c(32,32,28)s(48,40,20)-*
c(24,16,12)s(48,48,12)c(24,32,12)+s(32,48,20)-+
s(24,40,20)s(32,24,28)s(32,40,12)-c(24,24,12)--
s(24,24,28)s(32,40,12)-s(32,16,20)c(48,24,12)-*
s(48,32,20)s(40,24,20)*t(40,32,20)c(32,40,20)*+
s(32,32,28)s(24,24,20)*t(24,48,20)+s(24,32,28)+
s(16,40,20)t(16,56,12)c(40,16,12)+c(32,40,20)+*
s(32,40,28)s(40,24,12)-t(32,40,28)*c(40,40,12)-
t(48,32,12)c(16,40,12)+s(32,40,12)s(16,16,12)++
s(48,48,20)s(48,16,12)+s(40,48,20)s(40,16,20)+*
s(48,32,20)s(40,24,28)*s(40,48,20)s(48,24,12)++
s(40,16,12)c(24,32,20)+s(40,24,20)*s(32,16,20)*
t(24,40,20)s(48,24,20)+s(24,40,20)-s(40,32,12)-
c(32,32,28)c(48,40,12)-t(32,16,12)-t(40,32,20)+
s(16,24,12)s(32,40,28)s(48,24,20)-s(48,48,20)-+
c(40,32,20)c(32,32,20)*s(40,24,20)s(48,24,20)**
s(32,40,28)t(24,24,20)s(16,24,12)+c(32,16,12)+*
t(32,48,28)t(24,40,12)-s(40,40,28)s(48,40,12)-*
s(32,40,20)t(40,32,12)-s(32,24,20)s(24,48,20)+*
c(24,24,20)s(32,8,12)t(40,48,12)+-s(16,24,20)+
s(32,40,28)t(40,24,20)s(40,16,20)c(48,24,12)+*-
s(40,32,28)s(48,24,20)s(24,32,28)--s(40,48,20)*
c(24,40,20)s(32,40,12)-t(24,40,12)+t(24,40,28)*
c(24,32,20)c(40,32,20)-c(32,40,20)+s(48,32,20)+
c(32,32,20)s(24,32,12)c(32,16,12)+c(16,24,12)+-
c(32,24,20)t(40,40,20)t(32,32,28)+*s(32,16,20)*
s(24,24,20)t(32,32,28)s(40,16,12)t(24,48,28)+*-
s(32,32,28)c(40,40,20)+s(32,16,12)-t(24,40,28)*
s(32,32,20)c(32,16,12)-t(24,32,20)c(48,48,12)+*
s(40,32,28)s(40,24,12)-t(24,40,28)*c(24,24,12)+
c(32,40,20)s(48,32,20)-s(32,16,20)-t(24,48,28)*
s(48,32,12)s(40,32,12)+s(24,48,20)+s(16,40,20)*
c(40,32,20)t(48,48,12)-s(32,40,28)*s(32,40,12)-
s(16,40,20)c(40,16,12)s(40,40,28)+s(48,24,12)--
c(24,32,20)s(32,40,20)s(48,40,20)-t(48,24,12)+*
s(32,16,12)t(32,48,12)s(40,32,20)++t(24,16,12)-
s(24,32,20)c(24,40,12)-s(48,24,20)+s(32,40,28)*
s(16,40,20)c(16,32,12)-s(16,16,12)c(48,16,12)++
s(32,40,20)t(16,48,12)t(24,40,20)++c(24,16,12)+
t(24,48,28)t(40,16,12)+s(16,32,12)-t(24,40,20)*
t(32,48,28)t(24,32,28)*s(16,32,20)+c(16,48,12)+
s(40,24,20)t(40,24,20)t(48,24,12)+t(40,56,12)+*
t(32,40,28)t(40,24,20)c(48,48,12)+s(16,8,12)+*
s(32,32,28)s(24,32,20)t(32,48,12)+t(48,40,12)+*
s(32,16,20)s(40,32,28)c(40,24,20)**c(24,16,12)+
s(24,32,28)t(40,24,12)-c(32,24,20)s(24,32,12)-+
c(24,40,20)c(32,24,20)s(24,24,12)s(24,16,12)+--
s(32,40,20)c(24,32,20)t(40,32,20)-s(16,40,20)*-
t(24,32,28)s(16,48,20)t(16,56,12)--s(24,24,20)*
s(24,8,12)c(32,32,28)c(48,40,12)s(24,48,20)+*+
s(48,16,12)t(24,32,20)+s(48,48,20)t(16,24,12)+-
t(24,48,28)c(32,32,20)s(40,24,20)+c(48,24,12)--
s(48,48,20)s(32,40,28)c(24,40,12)-*c(24,32,20)+
s(48,40,20)t(24,32,28)s(48,48,20)s(40,40,28)*+*
c(32,40,20)t(32,40,28)*t(24,32,20)-c(16,40,12)-
s(32,32,28)c(32,40,20)*t(16,48,12)+s(32,32,20)*
s(40,32,28)c(40,40,20)s(32,24,12)-*s(24,48,12)-
c(40,24,20)s(48,32,20)s(32,40,12)+-t(16,40,12)+
s(32,24,28)c(48,32,12)s(16,16,20)+-c(48,24,12)-
s(32,16,20)t(24,24,20)s(48,24,20)s(48,40,20)*+*
s(48,48,20)s(40,16,20)s(48,48,20)c(40,48,12)-+*
s(8,48,12)c(24,24,20)+t(16,16,12)-s(40,32,28)*
t(40,24,20)s(16,48,12)+s(40,32,20)s(40,24,20)*-
t(24,48,28)t(24,32,28)+c(32,24,20)*s(32,48,20)-
t(32,48,12)s(16,24,20)s(24,32,20)*+s(48,48,12)+
c(40,32,20)c(32,32,20)s(8,24,12)+*t(40,40,20)*
s(48,24,20)s(48,48,20)-s(16,40,12)s(16,8,12)++
s(40,16,20)s(16,32,20)c(48,24,12)+s(16,48,12)--
s(24,24,28)s(40,40,20)t(32,24,12)+s(32,24,28)**
s(24,24,20)t(40,56,12)s(24,16,12)t(24,48,20)++-
c(24,40,20)s(32,48,20)*t(24,32,28)+s(40,24,28)*
s(40,16,20)t(32,32,12)t(48,24,12)+s(40,48,20)+-
s(40,48,20)s(16,40,12)+s(48,16,12)+s(32,40,28)*
s(16,32,20)c(32,24,20)t(24,48,20)+t(24,48,28)*-
c(32,24,20)t(32,32,28)s(32,40,20)**t(24,32,28)*
s(48,24,20)t(32,40,20)t(40,32,20)c(32,40,12)+*-
s(16,40,20)c(32,24,12)s(8,48,12)+s(32,32,28)+*
s(8,24,12)s(40,32,20)t(24,56,12)++s(24,24,20)*
t(32,48,28)s(24,40,20)+c(40,40,20)s(40,32,28)+*
s(48,32,20)c(40,32,20)*s(40,48,12)+s(32,32,20)*
t(32,40,28)s(32,24,20)s(32,32,20)c(32,24,20)***
s(48,48,20)s(48,24,12)+t(32,32,20)+c(24,24,12)-
t(40,40,20)t(16,56,12)+s(48,40,20)*c(48,16,12)+
s(32,24,28)c(40,32,20)*c(24,32,20)s(8,24,12)-*
t(32,32,28)c(24,16,12)+c(16,16,12)+c(16,16,12)-
s(40,24,20)s(16,48,20)s(32,48,20)+-s(48,48,20)+
s(24,32,20)t(24,32,28)c(40,24,20)*c(32,48,12)+*
s(24,32,20)s(16,24,20)t(48,56,12)s(16,8,12)+-*
s(32,32,12)s(16,16,12)s(40,32,12)++c(40,32,20)*
s(24,32,20)t(24,24,12)-s(32,40,28)*s(24,24,28)*
t(32,40,28)t(24,40,20)*s(16,40,12)t(32,48,12)++
t(40,24,20)s(32,40,20)c(16,48,12)-+s(40,24,12)-
c(48,16,12)s(48,40,20)s(32,48,20)-+t(40,32,20)+
s(48,24,20)s(40,32,20)c(48,40,12)+*t(40,56,12)+
s(16,48,12)c(16,32,12)+c(32,24,20)+t(40,40,20)-
s(40,40,20)c(24,24,20)s(16,16,20)-+s(24,40,28)*
t(32,32,28)s(24,24,28)s(32,24,12)c(48,32,12)+--
t(40,56,12)s(32,32,20)s(24,16,12)-+c(24,32,20)*
c(32,48,12)t(24,48,20)c(16,48,12)++c(40,40,20)*
c(40,24,20)t(48,24,12)-c(48,32,12)-s(16,32,12)+
s(32,48,20)c(24,40,12)-s(32,32,20)c(48,24,12)-+
s(48,32,20)s(40,24,20)*t(24,32,28)+s(24,32,28)*
s(48,32,12)s(8,8,12)s(24,16,20)t(24,16,12)-++
s(40,24,20)c(32,32,12)-c(40,16,12)s(40,40,28)+*
c(32,40,20)c(16,40,12)s(48,48,20)+t(40,40,12)-*
t(32,40,28)c(40,40,20)t(32,48,28)s(48,48,20)--+
t(40,48,20)s(32,8,12)+t(40,16,12)t(48,32,12)+-
s(40,16,20)c(32,24,20)c(16,40,12)-s(48,24,12)-*
s(24,32,28)t(48,24,12)s(32,48,20)t(24,40,12)-+-
c(16,48,12)s(16,32,20)t(24,48,28)s(40,40,28)+-+
s(32,32,20)t(32,32,28)c(24,16,12)-s(32,40,20)+*
s(48,40,20)s(32,24,20)s(40,16,12)-c(32,32,20)*-
c(40,32,12)c(40,24,20)t(40,40,20)-+s(32,16,12)-
s(32,40,28)c(32,24,12)-s(32,24,28)t(48,32,12)--
t(32,32,12)s(24,16,20)+c(24,40,20)-c(24,32,20)-
t(24,32,28)t(24,40,20)+s(32,24,20)s(40,48,20)-+
s(48,32,20)c(32,24,20)*c(24,24,20)+s(32,24,12)-
s(40,32,20)c(16,40,12)+t(32,32,28)+c(16,40,12)-
c(32,48,12)s(32,24,20)+c(40,16,12)c(48,40,12)+*
s(8,16,12)s(48,32,20)s(40,32,20)*+s(48,48,12)-
t(32,48,28)c(16,40,12)+c(40,24,20)t(24,40,28)+*
s(32,24,20)s(24,40,28)s(40,24,28)**s(32,40,12)+
t(40,48,12)c(24,16,12)+s(40,40,12)-s(32,48,20)-
c(32,24,20)c(32,32,28)c(16,40,12)s(32,24,12)+-+
t(24,32,20)s(32,40,28)*c(40,32,12)+c(24,24,20)*
s(40,24,20)t(24,32,28)s(8,32,12)--s(24,40,12)+
c(40,48,12)c(32,16,12)+c(24,32,20)t(32,16,12)--
c(24,40,20)c(24,32,20)c(24,24,20)s(48,16,20)-+*
s(24,32,20)c(32,40,20)*s(16,32,12)+c(24,24,20)*
s(40,32,28)t(40,32,20)s(24,16,12)+-s(48,16,12)-
t(24,32,28)s(40,40,12)-s(24,24,28)s(40,24,20)-+
s(40,32,28)s(32,24,28)s(24,16,12)-s(40,48,20)-*
c(32,32,28)t(40,40,20)t(32,32,20)+t(32,32,12)--
s(32,32,28)s(16,40,20)s(8,16,12)t(24,40,28)+*-
s(24,16,20)s(24,40,28)s(32,32,12)s(40,48,12)+*-
s(40,24,28)c(32,24,20)*t(32,48,20)-s(48,24,20)*
s(40,40,28)s(32,40,28)*t(32,48,28)*s(8,32,12)+
s(32,40,28)s(40,40,28)c(24,16,12)c(16,40,12)+-*
t(24,32,28)s(24,40,28)s(24,24,28)*s(40,24,28)*-
s(32,8,12)c(32,16,12)t(40,48,20)++t(32,40,28)*
s(40,32,28)s(48,16,20)s(40,24,20)*s(48,8,12)+-
s(8,40,12)t(48,56,12)t(32,24,20)+s(24,40,20)++
c(24,40,20)c(40,40,20)*s(8,24,12)t(40,40,12)+-
t(24,40,28)s(32,48,20)t(32,40,28)**s(40,32,12)-
s(32,32,20)c(24,48,12)s(32,24,28)+s(48,48,20)-*
s(32,40,28)c(40,48,12)c(40,24,20)+s(48,40,20)-*
c(40,32,20)c(32,32,20)t(32,16,12)-s(40,32,28)**
c(32,24,20)c(32,40,20)s(24,32,20)*-c(32,48,12)+
s(8,24,12)c(24,40,20)s(32,40,28)s(16,40,20)--+
t(32,24,20)s(16,40,20)-t(16,40,12)+t(24,24,12)-
t(16,40,12)t(40,40,20)+c(24,32,20)s(40,32,28)--
s(40,32,20)c(24,24,20)s(40,32,28)t(16,40,12)+*-
s(32,16,12)s(32,40,20)c(40,40,20)*+s(32,24,20)*
s(48,32,20)s(48,48,20)s(32,16,12)s(48,32,12)+--
s(8,8,12)c(48,40,12)s(24,32,28)++s(32,24,28)-
s(40,24,28)s(24,32,12)-c(32,32,28)t(24,48,20)-*
s(24,32,28)c(40,32,20)s(32,24,12)s(48,40,12)+--
t(32,32,28)t(40,32,20)c(16,32,12)+*t(24,32,28)*
t(24,24,20)s(40,40,28)+s(24,40,12)-s(40,24,28)-
s(48,40,12)s(40,16,12)+c(48,24,12)+c(40,40,20)*
t(24,40,28)c(24,48,12)t(40,48,12)+-t(24,32,20)*
s(40,24,12)t(24,40,28)c(32,32,20)*+t(40,16,12)-
s(48,40,20)c(40,32,20)c(48,16,12)c(24,40,12)+*+
c(24,32,20)s(16,16,12)-s(32,40,28)*t(40,56,12)+
s(24,32,28)s(16,40,12)-s(32,32,28)*t(16,24,12)-
t(24,48,12)c(32,40,12)+s(32,24,20)t(24,48,20)+*
t(24,32,28)t(48,48,12)s(8,24,12)+c(40,40,12)+-
s(48,48,20)s(40,48,20)*s(8,40,12)t(32,48,20)++
s(24,40,28)s(24,40,20)-s(40,16,20)-s(48,24,12)+
s(32,32,20)t(24,40,28)s(32,40,28)t(40,40,12)-*+
t(24,32,28)s(40,24,20)s(32,48,20)--c(32,32,20)*
s(32,24,28)c(40,32,20)s(40,40,28)c(32,48,12)-**
c(48,24,12)s(32,24,28)c(24,24,20)*+c(24,40,20)-
s(32,40,28)s(16,48,12)-s(32,24,20)t(32,32,28)*-
s(24,24,28)s(48,24,20)s(40,40,28)+*s(32,32,20)*
s(32,24,28)s(16,32,20)-t(32,16,12)-t(32,40,28)-
t(32,32,28)s(24,32,28)*s(16,40,20)c(24,32,20)*-
s(40,40,28)s(24,24,28)*c(16,40,12)-t(24,24,20)+
t(16,48,12)s(32,24,20)+t(16,56,12)c(40,40,12)+-
s(40,40,20)s(32,40,28)s(32,32,12)-+s(24,24,28)+
c(24,24,20)s(40,24,28)c(40,32,20)*s(24,24,20)--
s(32,48,20)t(32,32,12)t(24,40,28)t(40,32,20)-+*
c(16,32,12)t(40,32,20)+s(32,32,28)*t(40,24,20)-
s(48,48,20)s(32,24,20)c(40,40,12)+c(16,32,12)++
s(40,24,20)t(40,24,20)t(32,40,20)s(40,40,20)*--
c(24,24,20)c(32,40,20)*c(24,16,12)s(8,16,12)+-
s(24,16,20)s(40,24,12)s(40,32,12)+-s(32,8,12)-
s(24,32,28)c(24,32,20)t(32,24,20)--s(40,40,28)*
t(32,32,28)t(24,24,12)s(40,32,20)t(40,40,12)-+*
s(24,40,20)s(16,24,20)c(24,32,20)+c(16,24,12)-*
s(40,32,20)t(24,48,12)c(48,48,12)+c(24,32,20)+*
s(48,48,20)s(48,24,20)-s(40,40,20)t(32,40,20)--
t(16,24,12)s(40,40,20)+c(32,32,20)s(24,32,20)*+
c(32,24,20)c(24,40,12)-t(24,48,20)+t(24,48,20)-
s(40,24,12)t(24,32,28)+s(48,32,20)+t(32,24,20)*
c(40,24,20)s(32,24,20)*s(40,40,12)-s(48,32,20)+
s(24,24,28)s(24,40,28)c(24,24,20)+s(48,40,20)-*
s(24,24,28)s(32,40,28)s(32,32,28)**t(24,24,12)-
c(40,40,20)t(32,32,28)c(24,24,12)+*s(40,24,28)*
s(32,40,28)c(48,48,12)c(16,48,12)+s(16,48,20)*-
c(24,32,12)t(24,24,20)c(24,32,12)c(16,16,12)+*+
t(32,32,28)c(24,32,20)+c(48,40,12)-c(24,24,20)*
t(24,32,20)c(32,40,20)+t(48,48,12)-s(16,48,20)*
s(48,16,20)c(32,24,20)s(48,32,12)-c(16,48,12)+-
s(8,8,12)s(24,40,28)t(40,32,12)-c(24,24,20)-+
c(32,32,20)s(40,40,20)-t(24,32,12)+c(40,40,20)-
s(48,24,20)s(32,24,20)c(16,16,12)-+s(40,24,28)*
c(32,32,20)s(24,24,20)*c(48,48,12)s(32,24,20)+*
s(40,24,20)s(24,32,28)t(32,32,28)*s(16,48,12)-*
s(40,48,20)s(16,16,20)s(8,32,12)s(32,48,20)++*
s(16,16,20)t(32,48,12)s(24,16,20)+*c(24,24,20)*
s(40,16,20)s(32,16,20)c(24,32,20)-s(24,24,12)+*
c(48,40,12)s(16,16,20)t(32,24,20)c(16,32,12)--+
t(32,24,20)t(24,48,28)c(24,24,20)c(32,40,20)+*-
s(16,48,20)s(24,16,20)s(48,24,20)s(40,16,20)*-+
s(48,48,20)s(32,40,28)+s(48,16,12)+s(48,16,20)*
s(40,40,28)t(16,16,12)+c(16,16,12)+t(32,32,20)*
c(32,40,12)c(32,32,28)t(24,48,28)t(32,48,28)**+
t(24,24,20)c(40,40,20)s(16,24,12)++s(32,40,20)-
s(40,32,28)s(48,48,20)t(24,48,28)t(24,40,28)*-+
s(32,32,28)s(48,16,12)-s(48,40,20)-s(32,16,20)+
c(24,24,20)s(24,40,28)s(48,48,20)+c(32,32,20)*-
c(32,40,20)t(24,48,28)c(40,40,20)-c(24,32,12)+*
t(24,40,28)c(40,40,20)c(40,16,12)t(32,32,28)+*-
s(16,24,12)c(32,40,12)+s(16,24,20)s(40,32,12)++
s(16,8,12)t(32,24,20)+c(32,32,28)*s(24,40,12)+
s(24,40,20)s(8,40,12)t(24,16,12)+s(24,32,28)*-
s(40,32,28)s(32,40,28)*c(24,32,20)s(40,24,28)**
s(24,40,20)t(40,24,12)+t(40,24,20)-s(32,16,12)+
c(24,40,12)s(48,48,20)t(48,56,12)s(32,24,12)+-+
c(32,24,20)s(48,40,20)-t(24,56,12)+s(24,32,28)-
s(24,48,20)t(48,56,12)s(24,40,28)+s(32,48,20)**
t(24,40,28)s(16,32,12)s(16,48,20)++s(32,40,28)*
t(32,32,20)t(32,32,12)s(24,8,12)+s(24,24,12)--
s(24,32,20)s(24,24,20)s(40,24,28)s(24,32,12)-+*
c(32,40,12)c(24,32,20)t(32,48,20)-t(40,24,12)-+
s(40,48,20)t(32,48,28)s(32,32,12)-+s(24,24,28)-
c(32,32,12)t(32,16,12)t(24,32,20)+c(24,40,12)-+
s(32,32,20)c(40,16,12)+t(24,40,12)t(40,24,20)+*
s(32,24,28)c(16,16,12)t(48,48,12)t(48,32,12)+++
c(24,16,12)s(40,24,12)s(16,32,20)++s(24,32,20)-
s(24,48,20)t(32,48,20)c(24,40,20)*-s(16,24,20)+
s(24,40,28)s(8,16,12)s(16,32,12)+c(32,32,28)*-
s(16,8,12)s(48,48,20)s(40,32,12)-c(32,32,28)*+
t(24,48,12)c(32,32,12)t(24,40,12)++s(48,32,12)-
c(32,40,20)t(40,40,12)-s(40,40,28)+s(24,40,20)*
c(48,24,12)s(16,24,20)s(24,48,12)++s(40,32,28)+
c(32,24,20)c(40,32,12)s(24,32,28)c(40,32,20)*+-
t(40,48,20)s(8,24,12)+t(16,32,12)s(32,40,20)+*
s(16,32,12)c(48,40,12)+c(32,32,28)t(32,40,20)-*
c(16,32,12)t(40,32,20)+t(40,24,20)-t(40,40,20)-
c(32,32,28)c(16,16,12)s(40,48,12)+s(48,40,12)+-
s(40,48,20)s(24,40,12)s(8,48,12)++t(40,32,20)-
s(32,24,20)t(48,40,12)+t(16,40,12)t(24,40,20)+-
t(24,48,28)c(24,40,20)s(32,24,28)+s(32,48,20)**
s(24,24,28)s(16,40,20)s(40,8,12)+s(32,8,12)-*
c(40,24,20)s(32,24,28)*s(40,32,28)c(24,32,20)**
t(24,32,28)t(32,40,28)*t(48,40,12)-c(16,16,12)+
s(24,40,28)s(32,48,20)*c(48,40,12)t(24,40,20)+*
s(40,32,28)s(32,32,20)c(32,32,28)s(16,48,20)*+*
c(48,24,12)s(32,48,12)+s(40,24,28)s(16,40,20)-*
s(32,40,28)s(24,48,12)-t(32,48,28)-t(24,32,12)+
s(32,40,28)s(40,40,20)-s(24,48,20)c(40,40,12)-*
s(32,40,20)t(40,24,20)t(48,16,12)--s(40,32,28)*
t(48,16,12)s(16,40,20)c(40,40,20)+t(32,32,20)*+
s(40,40,20)c(24,48,12)s(16,8,12)+-s(32,24,28)*
t(32,24,20)s(16,32,12)-c(40,40,20)c(24,16,12)+*
t(32,40,20)t(24,32,28)s(40,32,28)**s(24,16,20)+
s(40,40,28)s(40,40,20)s(32,32,28)*-s(16,48,20)-
c(32,32,20)s(40,24,20)*s(32,40,20)t(32,32,28)*+
s(32,32,28)s(16,24,12)s(40,48,20)+*c(24,40,12)+
c(32,24,20)t(48,16,12)t(16,56,12)+-t(24,32,20)-
s(24,48,12)s(48,40,20)+s(40,40,28)s(16,40,20)-*
s(40,32,20)s(40,8,12)s(24,24,20)+s(24,40,28)*-
s(48,40,20)s(40,24,28)t(32,48,28)-+s(40,8,12)-
t(32,32,28)t(24,40,20)+s(40,24,12)-c(40,24,20)*
c(32,40,20)s(24,40,28)s(32,16,12)c(48,40,12)+-*
t(32,48,28)t(16,56,12)-s(24,40,28)s(24,24,28)*-
t(32,40,28)s(24,48,20)*c(48,48,12)+s(40,24,28)-
s(16,48,12)s(24,24,20)+c(24,48,12)-s(32,40,12)-
s(48,24,20)c(32,32,20)c(24,16,12)-s(16,40,20)+-
s(48,48,20)c(40,24,20)c(40,32,20)*+s(40,24,20)*
t(24,40,28)s(32,32,20)s(8,40,12)t(24,24,12)++*
s(16,48,20)s(40,24,28)s(24,32,20)*s(8,48,12)+-
s(40,24,20)t(24,40,28)s(32,16,12)+t(24,24,20)--
s(16,8,12)t(48,16,12)+c(24,24,20)s(40,40,20)++
t(16,56,12)s(24,32,28)c(24,16,12)c(32,32,12)+*+
c(32,40,12)t(24,24,20)+s(40,24,28)*c(40,32,20)*
c(24,48,12)t(24,24,20)c(16,40,12)-+c(40,32,12)-
c(24,32,20)t(24,16,12)-c(32,48,12)-t(32,40,28)*
t(24,40,28)s(32,40,28)c(32,32,12)-*s(24,8,12)+
s(32,16,20)s(40,24,20)+s(40,40,12)+s(40,8,12)-
s(24,40,28)s(40,16,20)+c(32,48,12)t(48,24,12)+-
s(40,24,20)s(48,32,20)t(40,24,12)--s(24,24,28)*
t(24,24,20)c(48,24,12)+c(32,32,20)*s(32,24,20)*
s(40,40,28)c(40,32,20)-t(32,24,12)+t(24,24,12)-
c(24,40,20)s(40,32,28)s(24,32,20)s(16,16,20)+**
s(32,16,12)t(32,40,12)+s(40,48,20)s(24,48,12)--
s(40,32,28)s(16,32,20)-s(16,48,20)+s(40,40,20)-
s(48,48,20)s(40,48,20)*c(32,24,20)t(32,32,28)*-
t(32,32,20)s(32,16,20)c(24,24,20)*s(40,40,20)--
c(16,48,12)c(40,24,20)+c(32,32,28)s(32,48,20)-*
c(32,32,20)s(40,32,28)*t(48,48,12)s(32,8,12)+-
t(32,32,20)t(24,32,28)s(40,32,28)c(32,40,20)***
c(24,40,12)c(40,32,20)c(24,24,20)-+s(48,24,12)-
s(40,48,12)s(16,24,20)+s(24,48,20)s(40,24,12)+-
s(32,32,28)s(40,40,28)s(24,48,20)c(32,40,20)*-+
s(24,32,20)t(32,48,12)c(32,24,20)+*t(40,24,20)-
c(24,40,12)c(48,24,12)+t(32,40,28)s(40,40,20)*+
s(40,24,28)t(32,48,28)t(32,24,20)t(40,24,12)+--
t(24,48,12)c(40,40,12)+s(32,16,20)+t(32,48,28)*
s(24,40,28)s(32,32,28)c(24,48,12)-*t(24,32,28)*
t(32,48,28)t(40,48,20)c(32,32,28)*-s(32,16,20)-
s(48,40,20)c(24,24,12)+s(32,32,28)*t(16,32,12)-
c(40,40,20)c(32,40,20)*t(24,40,20)+s(32,24,20)*
t(48,40,12)t(40,48,12)s(40,24,20)+c(40,40,20)-+
c(24,24,20)s(40,40,20)s(32,24,20)+c(24,32,20)-+
s(48,48,20)c(32,40,12)-s(32,40,20)+c(32,24,20)*
t(24,32,20)s(32,32,12)+t(32,40,12)t(40,32,12)++
t(24,16,12)s(24,32,12)t(48,48,12)t(24,48,20)+++
s(8,24,12)t(48,56,12)c(32,24,12)++s(32,16,20)+
s(32,32,28)s(32,16,20)*c(48,16,12)+s(16,16,12)-
s(32,32,28)s(40,24,12)-s(16,32,12)-t(32,40,28)*
s(24,32,28)c(40,32,12)s(8,48,12)+*s(40,40,28)+
c(32,32,20)c(24,24,12)t(16,32,12)+c(16,16,12)++
c(40,24,20)c(32,24,12)t(24,40,12)+s(32,40,12)--
s(40,32,28)s(16,32,20)-c(32,24,20)s(16,16,20)--
s(32,32,28)t(24,32,28)-c(24,40,20)s(16,32,12)--
s(24,8,12)s(40,32,28)+c(32,40,20)s(24,40,20)*+
t(24,24,20)s(8,24,12)t(40,48,20)+s(24,32,28)*+
c(40,32,20)s(48,24,20)c(40,40,20)c(24,48,12)-*-
s(24,40,20)t(24,48,20)s(40,24,12)+c(40,48,12)+*
t(24,48,20)t(24,32,20)c(16,16,12)+s(24,40,20)*-
t(24,32,20)s(40,40,28)+s(16,24,12)c(32,40,20)+*
c(40,40,12)c(48,16,12)+s(48,8,12)-s(40,24,28)*
s(40,24,28)s(16,32,20)+c(16,24,12)c(40,24,20)+-
s(40,32,20)s(40,40,20)*t(48,16,12)s(32,40,20)+*
t(24,48,20)c(24,24,20)t(32,48,20)-s(48,24,12)++
t(24,40,28)s(24,24,20)s(16,40,20)c(24,16,12)+*-
s(8,48,12)s(32,32,20)s(40,24,28)c(24,24,12)-*+
s(48,24,20)s(32,32,28)*t(24,48,28)s(24,40,28)*+
c(24,40,20)t(24,32,28)*t(40,32,20)+s(40,40,20)*
t(24,48,20)c(48,32,12)+s(40,24,20)-t(32,48,28)*
s(32,40,20)c(32,32,20)*t(32,56,12)t(48,48,12)+-
s(40,48,20)t(32,40,20)+s(48,32,20)-t(40,32,12)+
s(24,32,20)t(32,40,28)*c(40,24,20)s(24,32,28)*+
s(24,48,20)t(24,32,28)t(40,24,12)+*s(16,40,12)+
s(24,32,20)s(16,16,12)-t(32,48,20)t(32,32,20)+*
s(40,40,28)s(48,16,12)t(48,48,12)+-t(32,32,20)*
s(24,40,28)s(40,32,20)t(24,48,12)+c(24,24,12)-*
s(24,24,28)c(32,24,20)*s(8,16,12)s(24,8,12)+-
s(40,24,28)c(32,40,12)s(32,16,20)+-c(32,32,28)*
s(16,40,20)s(24,24,12)-s(32,40,28)*s(40,32,20)+
t(48,48,12)s(32,40,20)t(24,48,28)*+c(16,40,12)-
s(8,24,12)s(32,24,28)s(24,32,28)*+s(32,16,12)-
t(24,48,20)s(16,48,20)+c(48,24,12)t(24,40,28)++
c(32,32,20)t(48,16,12)+t(40,24,12)-s(24,24,28)*
c(24,24,20)s(16,32,20)s(24,40,28)t(32,32,20)*--
s(16,16,12)t(32,48,28)s(16,40,20)-+c(40,40,20)*
t(24,32,28)c(32,24,20)s(24,48,20)-t(40,24,12)--
c(48,40,12)t(24,40,28)t(16,40,12)t(40,24,20)+-+
c(24,24,20)t(32,40,12)-c(16,48,12)c(48,16,12)++
s(16,24,12)s(16,48,20)t(16,32,12)-+s(40,48,20)-
t(40,32,20)c(16,40,12)c(24,16,12)++t(40,32,20)-
s(24,48,20)s(24,40,20)+t(40,24,20)-s(40,40,28)+
c(24,32,20)c(24,48,12)s(16,24,20)+s(24,24,28)*-
s(32,16,20)s(48,24,20)s(32,16,12)-c(32,32,28)*-
t(48,48,12)s(32,32,20)t(32,16,12)-s(40,24,12)-+
c(32,40,20)c(32,16,12)s(32,40,20)s(40,32,20)*+*
s(32,48,20)t(32,40,12)-c(48,40,12)c(24,16,12)+-
c(32,32,28)t(24,40,28)t(16,16,12)s(16,32,20)+*-
t(40,48,20)s(16,48,20)s(8,40,12)-t(24,48,20)*+
s(48,48,20)s(32,32,20)s(16,32,20)*s(40,16,20)++
s(32,32,20)c(24,48,12)t(40,32,20)s(40,40,20)++*
c(48,16,12)t(24,40,20)+s(40,24,28)*c(48,24,12)+
t(32,56,12)s(24,32,20)+s(40,48,12)+s(24,24,28)-
s(32,24,28)s(32,32,28)s(48,32,20)s(32,24,12)--*
s(16,32,20)c(40,24,20)c(48,24,12)--s(40,24,20)+
t(32,32,12)c(24,24,12)+t(40,32,20)+s(8,48,12)+
c(24,40,12)s(24,24,28)s(24,32,28)*t(32,40,20)-+
s(40,40,28)c(32,32,28)s(16,32,20)*s(8,40,12)++
t(48,24,12)c(32,40,20)t(24,32,28)s(40,32,20)*-+
s(48,48,20)s(40,24,12)+s(48,24,20)*c(16,16,12)+
c(40,32,20)c(24,32,20)s(40,48,20)s(40,32,28)*--
c(24,48,12)s(40,24,28)+s(32,40,12)t(24,32,20)+*
c(24,24,20)t(16,16,12)s(32,16,20)+c(32,40,20)-*
c(48,24,12)c(24,40,20)t(40,40,20)-+c(40,24,12)-
s(40,24,20)t(24,32,12)+s(48,40,20)c(24,24,12)+*
t(16,32,12)c(32,32,20)t(32,48,28)*+t(40,48,20)-
s(16,40,20)s(24,48,20)c(32,32,28)**t(24,32,12)+
c(32,32,28)c(32,40,12)t(16,56,12)+t(24,48,12)+*
c(24,24,20)s(32,24,28)*s(40,32,28)s(40,40,12)-*
t(24,32,20)s(16,16,20)+s(48,40,20)t(40,40,20)-+
c(32,40,20)s(24,32,20)c(24,40,20)s(32,40,28)***
s(40,40,28)s(16,24,12)+t(32,48,28)c(24,40,20)+*
c(24,40,20)t(16,32,12)-c(32,40,20)s(24,32,28)**
s(48,32,20)c(24,40,20)s(24,24,20)--s(32,32,12)-
c(40,40,20)t(32,32,28)*t(40,40,20)+t(32,40,28)*
s(32,40,28)t(16,32,12)-t(24,48,28)c(16,40,12)-*
s(48,40,20)s(32,48,20)-s(40,32,28)t(32,40,28)*-
s(24,16,20)s(48,16,20)+s(40,40,20)c(40,32,20)+*
s(32,24,28)t(24,32,28)t(48,24,12)+*t(48,48,12)+
t(32,40,12)t(16,24,12)+s(8,24,12)s(48,40,20)++
c(16,16,12)s(48,16,20)s(40,24,20)*+t(32,24,12)+
s(24,48,20)s(32,48,20)s(16,40,12)-*s(16,48,12)+
t(24,40,28)c(16,48,12)s(24,16,20)++s(32,32,12)-
s(32,32,28)c(40,24,20)c(40,32,20)c(32,48,12)-*-
t(32,32,20)t(32,24,20)t(24,32,12)-t(40,40,20)++
t(24,24,12)s(16,32,12)t(40,48,12)++t(32,40,12)+
t(40,24,12)s(48,32,12)s(24,40,20)+c(40,32,20)*+
t(32,40,28)c(40,24,20)s(32,32,28)c(24,32,20)*+*
c(32,16,12)c(40,32,20)t(48,48,12)-s(40,48,20)-+
s(24,40,20)c(32,40,20)*c(48,40,12)+s(48,48,20)+
c(24,40,20)s(40,40,12)-t(32,48,20)t(24,48,20)+*
s(48,16,20)t(48,16,12)-s(24,32,28)t(24,56,12)++
t(16,40,12)s(48,16,20)+c(32,24,20)-s(48,16,20)+
s(48,32,12)s(24,48,20)+t(32,48,28)s(24,32,28)*-
c(24,24,20)s(32,40,28)s(32,32,20)-s(16,24,20)+*
s(40,40,28)c(40,24,20)s(40,32,28)*t(24,48,28)-*
s(40,24,28)t(24,24,12)-s(32,24,20)c(24,32,20)+*
t(24,32,28)s(48,16,12)+c(32,40,20)*t(48,16,12)+
t(48,24,12)t(32,16,12)+t(40,56,12)+t(32,16,12)-
c(24,24,20)s(24,32,20)c(40,32,12)-s(40,40,20)+*
s(24,32,28)t(24,32,12)-s(8,32,12)s(40,24,12)++
s(24,48,20)c(40,32,20)t(24,48,20)t(40,16,12)++*
c(32,32,28)s(32,48,20)c(40,24,20)+c(24,24,20)*-
t(16,32,12)s(32,48,20)s(16,48,20)t(24,48,28)*-+
s(16,24,20)s(40,40,12)+c(40,40,20)s(24,40,20)*-
s(24,32,28)s(32,16,20)c(40,24,20)s(48,32,12)-+*
c(40,24,20)s(32,24,28)c(24,40,20)*t(24,40,28)+-
s(24,40,20)s(24,24,20)t(24,56,12)+s(24,32,20)**
t(24,56,12)t(40,24,20)+s(32,32,28)t(40,40,12)-*
t(48,56,12)t(16,48,12)+c(40,32,20)+s(16,48,12)-
s(24,24,20)s(24,48,20)s(32,40,28)*-s(24,40,12)+
s(40,40,28)s(40,16,12)+t(24,40,28)*s(48,8,12)+
c(40,32,20)c(40,16,12)-s(40,32,28)t(24,32,28)*-
s(24,32,28)t(40,40,20)-s(24,32,20)*s(32,16,20)+
t(24,48,12)s(16,16,20)+t(24,48,20)+s(8,16,12)-
c(40,40,20)t(32,32,20)-s(40,24,20)+t(24,40,28)-
s(48,40,12)s(32,24,20)+c(48,40,12)-t(32,24,20)*
s(32,32,28)c(40,24,20)t(40,40,12)-*t(24,32,28)+
s(32,32,28)t(24,48,28)t(24,32,28)*-c(24,40,20)*
s(32,32,20)s(48,24,20)s(48,32,12)-+t(32,40,28)*
c(48,40,12)c(32,32,20)+s(16,16,20)-s(32,32,20)*
s(24,16,12)t(24,40,28)+c(40,32,20)-s(32,16,12)-
s(32,40,28)c(24,24,20)s(16,24,12)c(24,40,20)+**
s(40,40,20)c(48,24,12)-t(32,48,28)+t(24,32,28)*
s(24,32,28)c(24,24,20)+s(16,16,20)s(40,24,20)-*
s(40,16,20)t(24,16,12)s(40,24,20)s(48,24,20)*+*
s(24,24,12)s(48,48,12)+s(32,40,20)+c(40,32,20)*
s(24,32,20)c(16,24,12)+s(16,32,12)t(32,40,20)+*
s(32,24,20)s(40,48,20)t(32,40,28)+s(16,48,20)+*
c(40,24,20)c(40,48,12)s(48,16,20)s(40,24,20)*+*
t(32,32,28)c(48,40,12)s(16,32,20)+s(40,32,12)+*
t(32,32,28)c(24,40,20)*t(40,48,20)-t(32,40,20)+
t(24,40,20)s(8,40,12)s(16,8,12)+s(48,8,12)+-
s(24,40,28)s(16,24,20)t(32,48,12)+s(40,24,28)-*
s(32,40,28)s(24,8,12)t(40,48,12)+t(32,48,28)+-
t(24,32,20)c(40,48,12)s(48,40,20)+c(32,32,20)*+
s(24,32,28)c(32,32,12)-s(24,16,12)-s(16,24,12)-
s(16,48,20)s(24,32,20)s(16,40,20)+c(40,32,20)*-
t(24,40,28)s(24,32,20)*c(40,48,12)-t(32,32,12)+
c(32,32,20)c(24,24,20)*t(24,32,28)c(24,32,20)*+
c(40,24,20)c(32,40,20)*c(24,40,12)t(32,48,20)++
t(32,48,28)c(24,40,20)*c(40,24,12)+c(16,48,12)-
s(24,16,20)s(40,24,28)s(48,48,12)c(40,40,12)+-*
c(40,32,20)c(32,40,20)s(48,48,20)++c(32,40,12)-
s(40,40,20)s(48,8,12)s(40,48,20)+c(32,32,20)*-
s(48,16,20)c(32,32,28)t(40,48,20)-s(40,40,28)*-
s(40,40,28)s(48,24,20)+t(40,48,20)s(24,48,12)+-
c(40,24,20)s(40,32,20)c(16,24,12)+*s(32,16,20)-
t(24,32,20)t(24,48,28)c(32,24,20)t(32,24,12)---
s(32,32,28)s(48,48,12)-t(32,48,28)-s(40,24,28)*
c(32,24,20)s(40,40,20)+s(24,16,20)+t(32,40,20)*
s(48,48,20)c(40,32,20)t(32,48,20)s(40,48,12)+--
c(24,24,20)s(40,32,28)s(32,40,28)**s(24,24,20)+
s(32,24,20)c(48,32,12)+s(16,24,12)-t(32,24,20)-
s(40,40,28)s(24,40,28)t(32,40,28)+s(48,32,20)-*
s(24,24,28)s(32,24,20)t(16,40,12)s(16,32,12)++-
s(24,16,20)c(24,24,20)*c(32,40,20)+c(32,48,12)-
s(32,32,28)s(24,24,28)*c(32,32,20)t(24,40,12)-*
s(24,32,20)s(24,48,12)+s(32,24,28)s(8,32,12)+*
s(32,48,20)s(48,48,20)+t(24,40,28)-s(48,48,12)-
c(24,40,20)t(40,32,12)-t(40,24,12)+s(24,32,20)-
s(32,32,28)t(24,32,28)*s(40,48,20)+t(24,24,20)*
s(40,24,28)s(48,8,12)-c(24,32,20)*s(24,24,20)*
s(40,32,28)s(24,40,28)t(32,32,28)**t(32,48,12)+
s(16,48,12)c(48,24,12)+t(40,48,20)+t(24,40,28)*
c(32,32,28)s(48,32,20)*c(24,40,20)s(32,40,20)-+
s(40,32,20)c(48,16,12)-t(16,32,12)s(32,48,20)+-
s(8,16,12)t(32,24,20)+c(32,16,12)-c(24,32,12)-
s(16,48,20)c(32,40,12)-t(24,40,12)+c(24,48,12)-
s(48,16,20)c(32,32,20)s(32,40,28)s(32,16,20)---
c(24,40,20)t(40,48,12)-t(40,32,20)c(24,48,12)++
s(40,40,20)s(32,48,20)c(40,24,20)s(24,32,12)---
s(40,40,28)t(32,32,20)*c(32,24,12)+t(24,48,28)-
s(16,40,12)c(40,24,20)s(32,24,28)*s(24,32,12)-+
s(32,32,20)t(24,32,20)s(48,8,12)+s(40,8,12)+*
s(48,16,20)s(24,16,20)-c(24,24,20)+s(24,24,20)-
s(24,24,20)s(40,32,28)*t(32,48,28)s(16,24,20)+*
t(32,32,28)s(24,24,28)+t(40,40,20)-s(16,16,20)*
s(24,24,20)s(32,32,28)t(32,48,28)*-s(40,40,28)-
s(24,24,28)t(24,32,20)t(24,40,12)-s(48,24,20)+*
t(24,32,28)s(32,24,20)s(40,8,12)c(40,32,20)++*
s(24,24,20)t(32,32,28)s(24,32,20)*t(24,40,28)*-
c(32,32,20)t(24,40,12)-t(24,40,20)s(8,24,12)++
s(24,40,28)c(24,32,20)c(40,32,20)-s(8,48,12)-*
c(24,32,20)t(40,48,20)s(24,24,28)+*s(40,32,20)*
t(32,48,20)s(40,40,28)c(32,16,12)+s(24,24,28)*-
c(40,32,20)t(24,32,28)*s(24,16,20)+s(24,24,20)*
s(24,32,28)c(32,32,20)*s(24,40,20)*t(24,48,12)-
s(32,32,28)c(32,16,12)-s(32,24,20)c(16,32,12)+-
s(24,40,28)s(48,8,12)+s(48,16,20)-s(32,16,20)-
s(32,40,28)s(40,16,20)+c(40,40,12)-s(32,48,12)-
s(32,16,12)c(32,24,20)s(32,32,20)*+t(24,24,20)*
s(8,16,12)s(16,40,12)+c(24,40,12)-t(32,32,20)+
t(40,24,20)s(24,32,20)c(24,40,20)*s(32,40,20)*-
s(48,16,20)s(24,32,28)-c(40,16,12)s(32,24,20)++
s(32,48,20)s(24,32,20)c(24,40,20)*+t(32,40,28)*
s(24,40,28)c(32,40,20)c(16,40,12)s(48,40,12)++*
c(24,32,12)t(48,32,12)c(16,40,12)+s(8,48,12)++
c(32,32,28)s(16,48,20)*t(24,16,12)+c(16,48,12)+
s(32,40,28)s(32,24,20)s(24,8,12)+c(32,32,20)**
t(40,24,20)t(24,56,12)t(48,40,12)++s(48,40,20)*
t(32,48,20)s(32,16,20)s(24,40,20)-s(24,32,12)+-
s(32,24,28)s(48,32,20)-c(40,24,20)t(24,24,20)+*
s(8,8,12)s(32,32,20)s(40,32,20)*+c(32,32,20)*
c(32,32,28)s(24,16,12)-s(32,40,28)*c(32,24,20)*
s(24,8,12)s(40,32,12)+s(40,32,28)s(40,24,28)*+
s(40,24,20)s(16,32,12)+t(32,48,28)t(24,48,28)*+
s(40,40,20)c(48,24,12)s(48,48,12)++t(40,24,20)*
s(48,48,20)t(24,32,20)c(16,48,12)-s(48,32,20)+-
s(40,32,28)s(24,32,12)-t(40,40,20)s(40,32,20)*-
s(24,40,20)c(40,24,20)c(32,24,20)s(24,48,20)-*-
s(24,24,28)s(16,40,20)c(32,24,20)+c(24,24,12)-*
s(32,16,12)s(40,40,20)s(16,40,20)+s(48,48,20)*+
s(48,40,20)c(24,40,20)s(32,24,12)-t(32,32,28)*-
c(32,24,20)s(24,16,20)s(8,8,12)+t(24,24,20)+*
s(16,32,20)t(24,24,20)s(8,40,12)+*t(24,32,28)*
s(32,48,12)s(24,8,12)+s(16,16,20)+s(32,16,20)*
t(32,40,28)c(32,48,12)-c(32,32,28)c(16,48,12)-*
s(16,40,20)c(40,40,20)+s(48,16,20)-t(24,24,20)-
c(40,24,20)s(32,32,20)s(48,40,20)s(40,40,20)++-
s(48,24,20)s(40,16,20)s(32,24,28)s(24,8,12)-*+
t(32,32,28)c(32,40,20)c(48,40,12)-t(16,48,12)-+
s(32,32,28)c(24,24,12)-t(32,24,20)-s(24,40,28)+
s(32,24,28)t(32,56,12)+s(24,40,20)s(32,16,20)++
c(16,24,12)c(40,24,20)+c(32,32,20)t(24,40,28)**
s(40,24,28)t(32,32,20)-s(40,8,12)-s(32,8,12)-
s(24,40,20)c(40,24,20)+s(40,40,12)-s(32,40,28)*
s(40,32,20)t(16,16,12)t(24,40,28)s(40,32,12)++*
s(40,24,20)c(40,32,20)*c(40,32,12)s(32,24,12)+*
c(32,32,20)s(16,40,12)s(16,16,12)++s(40,24,28)*
s(24,24,28)s(32,24,12)-s(48,16,12)c(32,16,12)+-
c(24,48,12)c(24,40,20)s(24,32,28)t(32,48,20)-*+
s(32,32,28)s(40,24,28)s(40,40,28)*t(32,40,20)-*
s(48,48,12)c(16,32,12)+c(24,24,12)+c(40,40,20)-
s(24,24,28)s(16,16,12)-c(40,32,20)*t(48,32,12)+
s(16,40,20)s(48,16,12)+c(24,40,20)*s(32,48,12)-
s(40,24,20)s(40,24,28)s(24,32,12)-s(40,32,12)-*
s(24,24,28)t(32,32,28)*s(48,48,20)s(40,32,20)+*
c(32,32,20)s(16,16,20)s(24,24,20)*-t(24,40,12)-
s(32,40,28)s(24,24,28)s(40,32,12)-c(40,24,20)+*
s(16,8,12)s(40,16,20)+s(32,24,20)t(40,40,12)+*
c(32,24,12)s(16,8,12)+s(24,32,28)s(40,32,28)*+
t(48,56,12)s(40,24,28)+c(40,40,20)t(32,16,12)+*
s(40,32,28)s(24,40,20)s(48,40,20)+*t(40,32,20)-
c(40,40,20)c(32,32,28)c(24,48,12)-s(48,40,12)-*
s(40,16,20)c(32,32,28)s(24,16,20)*t(32,32,20)--
s(40,40,20)s(24,48,12)t(48,16,12)+-s(24,40,28)*
s(40,32,28)t(24,48,20)-s(48,16,20)-t(32,40,12)-
s(32,48,20)s(16,48,20)s(16,32,20)*+s(24,48,20)*
s(32,24,20)c(40,24,20)*t(32,16,12)t(24,40,28)+*
s(40,40,28)t(24,40,12)-s(8,32,12)+s(32,32,28)*
s(32,40,20)c(32,24,20)c(40,40,12)s(32,32,20)+**
s(40,40,20)t(32,32,12)-t(40,40,20)+s(24,24,20)-
t(24,48,28)c(16,32,12)-t(40,48,20)-t(16,24,12)+
t(16,32,12)t(24,32,20)s(32,40,28)s(40,24,12)-*+
c(40,24,20)c(32,32,20)s(16,24,12)-*t(16,16,12)+
s(32,24,28)t(40,40,20)s(8,40,12)+c(24,40,12)+*
s(32,40,12)s(48,24,12)+s(24,16,20)s(16,8,12)-+
s(40,48,12)s(32,40,28)s(48,40,20)-+t(24,56,12)-
s(32,32,20)s(40,40,28)c(24,40,20)-t(24,32,20)+*
t(32,48,20)s(16,48,12)s(40,24,28)+s(16,32,20)*-
t(40,32,20)s(40,40,28)t(32,48,20)t(16,16,12)+-+
s(40,24,28)t(24,32,28)c(24,40,20)**c(16,40,12)+
s(8,16,12)t(32,32,12)s(40,24,20)t(24,40,20)-++
t(24,48,12)c(24,32,20)s(40,48,20)+s(32,24,28)*+
t(24,32,20)s(48,8,12)s(40,32,12)+-c(24,40,20)*
s(24,8,12)c(40,16,12)t(32,48,12)++s(48,8,12)+
c(40,32,20)t(32,40,28)t(48,16,12)+*s(40,24,28)*
c(16,32,12)s(40,32,20)c(24,24,12)-+c(48,24,12)-
s(40,40,28)t(16,16,12)s(8,48,12)t(48,48,12)+++
s(32,40,20)t(16,32,12)+s(40,48,20)s(24,40,28)**
s(40,32,20)s(40,24,28)c(24,32,20)-s(40,16,20)*+
s(32,24,20)s(24,16,20)c(40,32,20)c(24,48,12)+--
s(40,40,20)s(48,16,20)+s(40,48,20)*t(40,40,20)*
c(32,40,20)t(24,32,28)*t(32,40,20)*t(24,24,20)+
s(24,24,20)t(24,32,12)-t(32,32,20)-s(16,40,12)-
s(32,24,12)s(40,40,28)t(40,24,20)s(40,16,20)*-+
s(40,24,28)t(40,40,20)s(16,32,20)t(40,16,12)++-
s(16,48,20)s(40,48,20)s(48,48,20)*c(16,40,12)++
s(32,32,20)s(40,32,28)s(24,40,12)-t(24,32,20)--
s(40,24,28)c(24,24,20)s(32,24,28)**s(40,16,20)*
s(40,32,28)t(24,48,28)-c(32,24,12)-s(48,24,20)*
s(24,24,28)s(16,16,12)-c(16,40,12)c(40,32,20)+*
s(40,32,28)t(32,40,12)-s(16,48,20)t(40,32,20)+*
s(8,40,12)c(24,32,12)+t(48,32,12)+s(40,32,20)*
s(40,24,20)s(24,48,20)+s(24,24,20)-s(24,24,28)+
s(48,16,20)c(24,24,12)+s(24,40,12)+t(40,24,20)-
c(40,40,20)s(32,16,20)+t(40,32,12)-t(32,48,20)*
s(24,32,28)s(40,16,20)-t(16,32,12)-t(24,32,20)+
s(24,24,28)s(32,16,20)-s(32,32,28)s(40,24,20)*-
c(32,32,28)s(24,32,12)-c(40,40,20)c(24,40,20)-*
s(24,32,28)t(32,16,12)t(32,48,28)+*s(48,40,20)+
t(32,32,28)s(40,32,20)*t(16,16,12)s(32,48,12)+-
c(40,32,20)s(24,32,28)*c(48,16,12)c(40,24,12)++
s(40,40,28)s(16,40,20)c(24,40,20)*t(24,40,20)*-
s(24,16,20)c(40,40,20)-s(32,16,20)t(40,40,20)++
c(48,16,12)s(32,40,28)+s(40,24,28)*t(32,40,28)-
s(24,32,20)s(32,32,12)t(24,32,12)+-t(48,16,12)+
t(32,40,28)c(16,16,12)+s(24,40,28)*c(32,40,20)*
s(40,16,20)s(40,32,12)-t(40,40,20)+s(48,32,20)*
s(8,24,12)t(24,40,28)s(40,48,20)t(24,48,12)+*+
c(40,24,20)s(48,24,12)t(32,32,12)t(16,24,12)++*
c(16,48,12)s(48,40,20)+s(32,40,20)*s(16,24,12)+
c(32,24,20)s(24,32,28)s(40,48,12)-s(32,32,12)-*
t(40,32,20)s(8,16,12)s(24,24,20)c(40,32,12)-++
c(32,32,28)c(32,16,12)-t(32,24,20)t(32,48,28)+*
s(40,40,20)s(32,40,28)s(24,24,20)+s(40,32,28)**
s(24,32,28)s(24,40,28)*t(32,40,12)t(16,40,12)+-
s(24,32,28)c(24,24,20)*t(16,40,12)t(40,24,20)+-
c(32,40,20)t(48,56,12)t(24,48,28)++c(24,24,20)*
s(8,48,12)c(24,16,12)+s(32,24,28)c(24,24,20)**
t(32,40,28)s(8,16,12)s(40,32,20)+s(32,48,20)--
c(40,32,20)s(48,16,12)s(32,32,28)c(24,40,20)*+-
s(32,32,28)s(40,32,28)s(24,24,28)-+c(32,24,12)-
s(32,32,28)s(32,24,28)*s(16,16,12)-s(16,32,12)-
t(24,48,20)c(32,40,12)t(32,56,12)+s(40,40,20)*+
s(48,24,12)c(48,48,12)s(8,16,12)t(32,40,28)+++
c(40,32,20)c(32,40,20)s(24,48,20)s(48,40,20)--*
t(32,40,28)t(32,32,28)c(32,16,12)-*s(24,40,20)*
s(48,32,12)c(24,24,20)s(40,24,12)-+s(32,40,28)-
s(32,40,12)s(32,24,20)+c(32,16,12)-s(40,24,28)*
s(40,40,28)c(48,40,12)-s(48,48,20)+s(32,32,20)*
c(32,40,20)s(24,32,28)s(40,24,20)*+s(16,40,12)-
s(32,32,20)t(24,32,20)c(24,48,12)-t(24,40,12)--
c(32,24,20)s(40,32,28)s(24,32,28)s(40,48,12)-**
s(32,32,28)s(24,32,28)*c(32,32,20)c(32,40,12)--
s(8,40,12)s(32,32,28)+c(32,32,20)s(24,24,20)+-
s(24,40,20)s(48,32,20)t(32,24,12)+c(24,48,12)+*
s(24,24,20)t(16,32,12)t(32,48,28)c(40,32,20)*+-
s(32,40,20)t(24,40,20)+s(24,24,28)+c(32,32,28)*
c(32,32,28)s(48,48,20)c(32,24,20)s(16,48,20)--*
s(40,32,20)t(24,32,28)s(8,8,12)c(16,32,12)+-+
s(24,24,28)c(40,32,12)-s(16,32,20)s(16,24,20)**
c(40,40,20)c(40,32,20)t(32,40,28)*t(40,24,12)+*
s(16,40,20)s(40,32,28)t(24,32,28)s(24,40,20)**-
s(16,16,20)c(40,32,12)s(8,24,12)+t(24,32,28)+*
s(40,32,20)t(32,48,12)+s(48,8,12)t(40,24,20)+*
c(24,32,20)s(24,48,20)s(24,32,28)s(16,40,20)+*-
c(32,32,20)s(24,16,12)s(48,32,12)+s(24,8,12)--
s(40,40,28)s(32,40,20)s(40,24,12)+s(48,32,20)*-
s(24,32,20)s(16,32,20)*t(24,32,28)c(24,16,12)-*
s(48,24,20)s(40,48,20)s(40,32,12)-c(48,24,12)++
c(24,40,20)s(24,32,28)s(32,40,28)*t(32,48,20)-*
t(32,40,28)c(40,40,20)t(24,40,28)*s(16,24,20)--
c(24,32,20)s(8,24,12)-t(40,24,20)t(48,24,12)++
c(40,40,20)t(32,32,20)*s(16,40,12)+s(40,16,12)+
t(24,16,12)c(32,24,20)t(32,40,28)+t(24,32,28)-+
c(24,48,12)t(32,48,20)+c(40,40,20)+t(24,40,20)-
s(24,24,12)c(40,32,12)+s(16,24,20)+c(32,40,20)-
c(40,40,20)s(32,40,20)s(40,48,12)-s(40,32,12)--
s(40,32,28)t(32,24,20)-t(24,40,20)+s(24,48,20)-
c(40,16,12)s(24,24,20)t(48,24,12)+t(24,32,20)*+
c(48,24,12)s(40,16,20)+s(24,24,28)t(40,48,12)+-
c(24,32,20)t(32,48,28)*s(40,32,28)c(32,16,12)-*
t(40,48,20)t(32,32,12)+t(40,48,20)t(32,56,12)+*
s(40,24,28)t(24,40,28)*c(16,24,12)+t(24,40,28)*
s(32,24,28)s(24,40,28)-s(40,48,20)s(40,8,12)+-
s(32,48,20)c(24,32,12)-t(24,48,20)s(32,40,12)+*
c(32,40,20)s(24,32,28)*s(32,48,20)s(48,8,12)+*
s(40,32,12)c(32,16,12)+c(24,24,20)*s(32,16,20)+
t(24,56,12)s(32,32,28)+c(40,24,12)-s(24,40,12)-
s(16,8,12)t(24,48,20)c(24,24,20)+c(24,24,20)-+
t(32,32,28)t(24,40,28)*t(24,40,20)+s(40,40,12)-
s(48,32,20)s(24,24,20)-t(32,24,20)t(40,56,12)+-
s(32,32,28)s(40,40,20)s(48,48,20)*-c(24,32,20)*
c(32,16,12)s(40,40,20)c(40,24,12)-+t(40,16,12)-
s(32,40,28)s(40,40,28)*s(24,32,28)s(8,48,12)-*
s(40,16,20)s(32,32,28)t(40,40,12)-t(24,24,20)*-
c(32,32,20)s(24,40,20)c(32,16,12)+s(24,16,20)-*
s(32,40,28)c(32,40,20)c(40,24,20)s(48,32,20)*+*
s(24,32,28)s(40,48,12)-t(32,56,12)+s(32,16,20)*
t(24,24,20)s(8,8,12)s(16,48,20)++t(32,32,28)-
s(32,8,12)c(32,40,12)+s(40,16,20)c(48,24,12)--
s(40,24,20)t(32,32,28)*t(16,16,12)+c(32,32,12)-
s(40,40,20)s(48,40,20)+s(24,48,20)s(40,16,20)+*
s(24,16,12)s(16,48,20)s(32,32,20)++s(16,24,20)*
c(40,40,20)t(40,48,12)s(8,24,12)++c(32,24,12)+
t(32,40,28)s(24,48,20)t(40,40,20)+c(48,16,12)+*
s(32,24,28)s(24,40,28)s(48,32,12)+*c(24,48,12)-
s(24,48,20)s(40,32,20)s(48,16,20)+c(40,32,12)-+
c(40,32,12)c(40,40,20)s(48,24,20)-s(32,32,28)*+
c(40,16,12)c(24,32,20)s(48,16,20)-c(32,32,20)*+
c(24,32,20)s(48,16,20)s(48,48,20)++s(32,40,20)-
t(32,32,28)s(32,40,20)s(32,24,20)s(48,24,20)*-+
c(32,32,20)s(8,8,12)s(24,32,28)c(24,16,12)-+*
c(32,16,12)s(48,48,12)+c(24,24,20)t(32,48,20)+*
s(32,32,28)c(48,24,12)-t(40,24,20)t(48,24,12)+-
c(40,32,20)t(32,48,20)+s(32,40,20)*c(40,32,20)*
c(32,40,20)s(16,32,20)-t(40,48,12)-t(16,40,12)+
s(40,40,28)t(48,32,12)-c(40,48,12)s(32,24,12)+-
t(32,48,28)s(32,24,20)-c(32,32,28)s(16,16,20)-*
s(24,16,20)t(16,56,12)+s(32,48,20)+c(32,32,28)*
s(32,40,28)c(24,40,20)*c(24,16,12)+c(32,32,20)*
s(24,16,20)c(32,32,20)s(24,24,28)c(24,40,20)**-
s(32,40,28)t(32,40,28)s(48,48,20)-s(32,48,12)-*
s(32,32,28)c(48,32,12)-t(24,40,20)s(24,48,20)*-
s(48,16,12)s(24,16,20)s(24,32,28)s(40,40,12)-*+
s(24,40,28)c(32,48,12)-t(24,24,12)c(24,40,12)+*
t(24,32,28)t(32,32,28)c(16,24,12)+s(24,16,20)-*
c(32,40,20)s(40,24,28)*t(48,56,12)+s(24,32,20)-
s(32,48,20)c(32,48,12)s(24,32,20)c(32,32,20)*+*
s(40,32,28)t(24,40,20)-s(16,48,12)+s(16,48,20)-
t(24,48,28)t(32,32,28)*t(24,48,12)+s(16,16,12)+
s(32,32,20)t(32,48,12)+s(40,32,28)s(40,24,28)**
c(40,40,20)c(48,48,12)-c(40,24,20)s(48,16,20)+*
s(40,24,28)c(32,40,20)c(40,40,20)*s(40,24,12)--
s(40,32,28)t(24,48,28)-s(32,24,28)s(32,40,20)*+
s(8,24,12)s(48,16,12)t(32,40,20)s(32,48,12)+++
s(32,40,28)t(24,48,20)s(8,32,12)+t(24,56,12)-*
t(32,32,28)s(40,24,20)+s(32,48,20)-s(32,40,28)*
t(16,56,12)c(32,40,20)+c(24,24,20)s(16,24,20)+*
s(32,32,28)s(48,40,20)t(40,32,12)--t(24,32,28)*
s(16,24,20)s(16,48,20)s(24,16,20)+t(32,40,20)-+
c(32,24,12)s(48,40,20)c(40,32,20)*c(40,48,12)++
s(32,32,28)s(24,32,28)+s(24,40,28)s(24,24,28)*-
c(32,24,20)s(32,24,20)s(24,32,28)+*s(32,16,20)*
t(24,32,28)s(32,16,12)-s(16,40,12)-s(24,32,12)-
s(16,24,20)s(40,48,20)c(40,32,20)*+s(40,32,28)*
s(16,40,20)t(24,48,28)s(40,40,12)+*t(24,24,12)-
s(32,24,28)s(24,8,12)s(32,32,28)+t(40,40,20)-+
s(48,32,12)c(24,40,20)+t(40,24,12)s(24,24,20)++
s(24,40,20)c(40,40,12)-t(40,16,12)+s(24,24,20)*
s(32,40,28)s(40,32,28)*c(40,32,20)t(32,32,28)**
c(32,40,20)t(16,40,12)c(16,32,12)+t(24,32,28)*-
c(40,32,20)s(40,32,20)s(48,16,20)--s(32,24,28)*
c(32,32,28)s(24,24,28)t(40,32,20)-c(40,48,12)+*
c(40,32,20)t(24,32,12)-s(40,24,28)c(32,40,20)-*
s(48,48,20)t(32,32,28)s(24,24,28)*c(40,40,20)+*
s(40,40,28)c(48,48,12)s(32,32,20)s(24,24,20)*+*
t(40,40,20)t(24,48,12)t(24,24,12)c(24,40,12)+++
s(16,40,20)s(24,32,28)s(32,40,12)-s(24,24,28)*-
t(32,32,28)s(32,40,28)+c(40,40,20)*t(32,48,12)-
s(32,24,20)s(32,40,28)s(40,32,20)s(24,24,12)-*-
s(40,40,20)c(40,32,20)c(40,24,20)s(48,24,20)*--
c(24,40,20)c(32,40,12)t(48,32,12)+*t(40,24,20)+
s(48,48,20)c(24,32,20)-t(24,48,28)-t(48,32,12)+
t(32,48,20)s(24,24,28)c(32,32,28)s(16,24,12)-*-
c(24,16,12)t(24,32,28)t(40,32,12)+s(32,32,20)*+
s(24,32,28)c(32,32,28)t(32,48,28)*-c(40,32,12)+
s(40,48,20)t(16,40,12)+s(24,32,28)t(16,24,12)--
s(40,16,20)t(24,40,28)-s(16,24,12)t(24,40,28)++
c(24,24,20)s(24,48,20)s(16,40,20)+s(40,48,20)*-
s(48,16,20)s(24,24,12)s(16,16,12)++s(40,32,20)*
s(40,24,20)c(16,16,12)s(32,24,20)s(48,40,20)-+-
s(32,32,28)t(32,32,12)-s(40,16,20)t(24,48,20)+*
t(32,32,20)t(16,56,12)s(32,24,20)+t(16,24,12)+*
s(32,32,28)s(40,32,28)*s(48,48,12)-t(24,48,20)+
s(40,40,12)s(48,40,20)s(40,32,20)*+c(32,40,20)*
c(40,40,20)c(32,24,20)c(24,32,20)s(32,16,12)++*
s(24,40,20)c(48,16,12)s(40,24,20)+c(32,40,12)-+
s(32,32,28)c(24,40,20)t(16,48,12)-t(24,24,12)-*
t(40,48,20)s(40,32,20)t(24,48,28)-t(32,40,20)--
s(32,16,12)s(24,40,20)s(32,40,20)*+s(24,24,20)*
s(40,8,12)s(48,32,20)s(40,24,28)*+c(32,32,12)+
s(48,16,12)c(40,32,20)s(48,32,20)*s(40,48,20)-+
s(24,24,28)c(40,24,20)t(48,56,12)+s(8,8,12)+-
t(32,32,20)s(32,24,20)+t(48,16,12)+c(32,24,20)+
s(40,32,28)s(24,32,20)t(16,16,12)-s(24,48,20)*-
s(24,32,28)t(40,24,20)c(24,32,12)+-c(24,24,12)-
s(8,48,12)t(40,40,12)c(16,16,12)+c(40,32,20)++
s(40,32,28)t(24,16,12)s(40,32,20)s(40,16,12)-+-
t(32,32,28)s(40,24,28)+c(32,48,12)s(48,32,12)+*
t(16,40,12)c(40,40,20)+s(40,24,28)s(48,48,20)-*
t(24,40,20)c(24,40,20)c(40,32,20)-+c(32,40,12)-
s(40,32,28)t(32,24,20)s(40,48,20)++c(24,32,20)*
t(32,24,20)s(40,24,28)t(32,48,28)-+s(48,16,20)*
t(24,32,28)s(40,40,28)*c(48,40,12)-t(24,48,20)+
t(32,48,28)s(24,32,28)c(48,16,12)+s(16,40,20)-+
s(24,40,12)s(40,24,20)+s(40,32,28)t(48,32,12)-*
s(24,8,12)c(32,32,20)+s(48,40,20)c(32,40,20)**
s(24,48,20)s(32,24,28)s(40,16,12)--s(16,48,20)*
t(32,32,28)s(24,16,12)-t(24,32,28)t(16,40,12)--
s(40,48,20)s(32,40,28)*s(32,32,28)c(32,16,12)-*
s(40,32,28)t(40,24,20)-s(48,48,20)t(16,48,12)+*
s(32,40,28)s(16,48,20)-s(32,40,20)*c(24,24,12)-
c(32,40,20)c(48,48,12)-s(16,16,20)c(24,24,20)*-
c(24,16,12)t(24,32,20)+s(24,32,28)t(24,32,12)-*
s(32,40,28)s(24,24,12)-s(32,48,20)c(24,32,12)-*
c(32,32,28)s(32,48,20)*s(16,16,12)+t(32,48,28)*
s(48,32,12)s(16,24,20)+c(24,40,12)-t(32,48,12)+
s(24,24,28)s(40,40,20)s(32,40,20)*c(40,24,12)-+
c(24,24,20)s(32,24,20)t(24,48,20)s(40,40,28)+**
s(40,40,12)t(16,16,12)+s(24,40,20)s(32,24,28)*+
t(24,32,28)s(48,40,20)+s(24,16,20)t(32,32,28)+*
s(40,40,28)s(24,16,20)+s(40,16,20)-s(24,32,28)*
s(8,16,12)t(24,40,28)+t(32,32,28)t(32,16,12)-*
c(40,40,20)s(48,24,20)s(40,32,20)*t(24,48,12)+*
c(40,40,20)s(24,32,28)*s(24,24,28)*s(40,40,20)+
s(48,24,20)s(16,16,20)c(24,40,20)+-s(40,32,28)*
s(32,24,20)c(32,16,12)t(32,40,28)t(24,40,20)*+*
c(32,24,12)c(40,32,20)s(24,24,20)-+c(32,32,20)*
c(40,16,12)s(40,24,12)+t(24,32,28)s(16,40,20)--
c(40,32,12)s(24,40,28)c(24,48,12)-s(40,32,20)-+
s(24,24,28)s(32,40,20)t(40,48,20)-t(40,16,12)+*
s(32,32,28)s(24,40,12)-s(24,16,20)-s(40,40,20)*
s(48,16,12)t(24,24,20)+t(16,40,12)s(40,32,28)+*
s(32,40,12)s(32,32,28)s(32,24,28)s(32,16,20)-*+
s(24,24,20)c(24,24,20)s(16,32,12)-s(40,24,20)*-
t(24,32,28)s(16,40,20)t(40,24,12)+*c(24,48,12)-
s(40,24,20)s(24,32,28)c(24,24,20)**s(24,40,12)-
s(40,24,28)c(48,40,12)s(24,32,28)s(32,24,20)*+*
c(32,40,20)t(48,48,12)s(16,8,12)+t(32,32,20)+-
s(48,40,20)c(32,48,12)-c(48,48,12)+s(16,40,12)+
s(32,16,20)s(16,16,12)+s(40,24,28)s(24,24,20)--
s(48,8,12)s(16,32,20)s(40,24,20)s(40,32,20)*-+
t(24,32,28)s(40,24,20)s(40,40,28)s(32,24,20)---
s(48,24,20)t(32,48,28)c(40,32,20)+*s(24,24,28)+
t(24,32,20)t(24,40,28)t(48,32,12)s(8,40,12)+-*
c(24,24,20)c(24,40,12)t(24,24,12)+-s(32,24,28)*
s(40,40,28)s(48,16,20)-s(48,48,12)-s(40,32,12)+
s(16,16,12)s(16,32,20)s(24,48,12)-+t(24,40,28)*
s(24,24,28)t(24,32,28)*s(24,8,12)-s(40,24,12)+
c(40,32,20)c(48,48,12)-c(48,32,12)s(40,8,12)+*
s(16,16,20)t(24,48,28)+s(16,24,20)c(24,40,12)+*
s(40,40,28)s(40,24,28)*s(24,40,20)-t(24,32,28)-
s(48,8,12)t(40,24,12)+s(24,16,20)s(16,40,12)+-
s(40,24,28)s(32,32,20)*s(8,16,12)c(40,24,20)+*
s(32,24,28)s(24,40,28)*s(40,40,28)*s(16,24,12)-
c(40,40,20)c(40,32,20)*s(40,48,12)-s(48,32,20)*
s(40,24,28)c(32,24,20)t(32,56,12)+*t(32,40,12)-
s(40,24,20)t(16,48,12)t(24,16,12)++c(32,40,20)-
t(32,32,28)c(48,24,12)-c(40,48,12)+s(48,32,12)+
c(24,32,20)s(16,24,20)*t(32,32,28)+s(24,24,28)*
s(32,32,28)t(24,40,28)s(32,48,12)-*s(32,32,20)*
c(24,32,20)t(24,24,12)-s(40,16,20)s(32,40,20)--
c(24,32,20)s(48,40,20)-t(32,24,20)c(16,16,12)--
c(32,40,20)c(24,24,12)+s(16,40,12)-c(24,32,20)*
t(32,48,28)c(32,24,12)-t(16,56,12)-t(32,56,12)-
s(32,32,28)t(32,32,12)-s(32,24,20)*s(24,16,12)+
c(32,40,20)s(40,24,12)+s(24,32,28)*c(24,24,20)*
t(24,48,28)s(32,40,28)s(40,40,12)t(48,16,12)+-*
c(48,16,12)t(32,32,20)c(48,32,12)-+s(16,40,20)+
c(32,32,20)s(40,48,20)-s(40,32,28)*s(16,40,12)-
s(40,40,28)c(32,40,12)s(32,48,20)c(16,32,12)-+*
c(40,32,20)s(32,32,20)t(40,16,12)-c(32,24,20)+*
c(32,32,28)c(32,32,28)s(40,24,28)*c(24,32,20)*-
t(32,48,20)s(48,48,20)+s(40,48,20)t(24,16,12)+*
t(32,24,20)s(16,40,20)-t(24,40,28)+s(8,48,12)-
s(16,16,20)t(32,24,20)t(24,32,20)+s(24,40,20)*-
c(32,16,12)s(24,32,28)t(48,40,12)+s(40,40,28)*+
s(24,24,12)t(24,40,28)c(24,24,20)*+c(32,40,20)*
c(48,40,12)t(48,56,12)+s(24,24,28)+s(48,40,20)*
c(32,32,20)s(32,48,12)s(24,24,28)+*t(24,24,12)-
s(40,24,28)c(16,48,12)c(32,24,20)+t(24,40,28)**
s(32,40,12)s(32,16,20)+s(48,24,12)+t(48,16,12)-
c(40,32,20)s(16,48,12)+s(24,24,20)c(40,32,12)--
s(48,16,20)t(24,40,28)+t(32,40,28)t(24,40,20)--
c(32,40,20)t(24,32,28)s(16,40,12)-+s(32,16,12)-
t(24,40,20)s(24,48,20)s(32,24,20)s(24,40,20)-+*
s(24,40,20)s(40,24,20)c(16,40,12)c(32,24,20)+*+
t(40,40,20)t(24,32,28)+s(40,48,12)s(40,24,28)+-
s(40,24,28)c(24,40,20)s(40,32,12)-s(32,40,20)*-
t(48,40,12)s(48,32,12)s(32,32,12)+t(48,56,12)++
s(32,48,20)c(32,32,28)c(48,16,12)-*t(24,48,28)*
s(32,32,20)s(32,16,20)s(32,32,28)*c(16,48,12)+*
s(16,16,20)s(16,24,20)*s(16,16,20)s(24,16,20)**
s(32,48,20)s(40,16,12)+t(24,48,20)+s(48,48,12)+
s(48,40,12)s(24,32,28)t(32,48,28)-c(32,40,20)-+
s(40,40,28)c(16,24,12)t(40,48,20)+-s(16,16,20)+
c(24,32,20)s(24,24,20)t(16,32,12)-s(40,48,20)+-
c(24,24,20)t(32,32,28)s(48,40,20)+*t(24,32,20)*
t(32,32,28)t(32,48,12)s(32,24,28)c(48,24,12)-+*
s(40,40,12)c(24,32,20)s(24,24,12)-s(16,48,20)*+
c(24,32,20)t(48,56,12)c(24,32,20)s(24,40,20)*+*
s(48,16,20)s(48,40,20)s(32,32,20)++t(32,32,28)*
s(40,32,20)t(32,48,20)+s(32,40,20)*s(40,32,28)*
t(32,48,28)s(40,40,28)t(24,32,28)s(16,24,20)--+
s(32,40,20)t(24,40,28)*s(32,40,28)s(40,32,20)*-
s(48,32,20)s(8,24,12)+t(40,48,20)+s(8,16,12)-
t(24,32,20)s(32,24,28)c(24,40,20)**s(24,16,20)+
c(24,32,20)t(40,40,20)c(24,24,20)+*s(32,40,20)+
s(40,48,20)t(32,32,20)+s(24,40,28)s(40,48,20)*-
s(24,40,28)t(24,16,12)s(32,48,20)+t(32,48,28)**
t(48,40,12)c(24,16,12)+c(40,32,20)+c(32,40,20)*
s(32,8,12)s(48,16,20)+s(40,32,20)t(40,16,12)--
c(24,24,12)t(24,48,20)+c(24,40,20)+s(24,24,20)*
c(40,32,20)c(40,40,20)t(40,24,20)+*c(32,40,12)-
c(24,32,20)c(24,40,20)t(24,32,28)t(16,56,12)+*-
s(40,24,28)c(40,24,20)s(8,32,12)s(40,32,20)+--
c(16,48,12)s(8,40,12)+c(32,24,20)+s(16,24,20)*
s(24,40,20)c(24,32,20)*s(40,40,12)t(32,40,12)+-
c(24,40,20)c(32,32,20)c(32,24,20)t(40,32,20)*-*
c(32,32,20)c(40,32,12)-s(48,16,20)-t(40,40,20)-
c(24,32,20)c(32,32,20)*s(24,32,20)s(24,40,20)**
s(48,16,20)t(40,24,20)s(32,32,28)*s(32,16,20)+*
s(32,48,20)s(32,40,28)t(32,40,12)-s(24,48,20)--
c(40,24,20)t(32,32,28)*c(32,32,20)c(48,48,12)-*
c(40,32,20)s(48,16,12)-c(32,32,20)s(24,16,12)-*
t(32,24,20)s(40,32,28)s(48,32,20)t(40,24,12)-*-
s(8,24,12)s(24,16,12)+s(40,16,20)-t(32,40,12)+
t(40,24,20)s(24,24,20)s(32,16,12)-+c(32,24,12)-
c(32,24,20)c(24,32,20)*s(16,32,20)s(24,40,20)*-
s(8,16,12)s(40,32,28)+c(32,40,20)*s(32,24,28)*
c(40,32,12)s(48,48,12)+s(48,16,20)s(32,40,20)+*
s(24,32,20)t(24,40,28)*t(40,40,12)-s(48,16,20)+
c(32,32,20)s(24,32,12)s(48,40,20)+s(48,40,12)-*
c(40,24,20)c(24,32,20)c(48,16,12)+s(48,48,20)+*
s(32,40,20)t(32,56,12)s(40,40,20)+t(32,48,28)**
s(32,24,20)s(48,24,20)c(32,40,20)s(24,32,20)-+-
c(24,32,20)t(24,48,28)+s(24,24,20)s(40,24,28)++
s(24,40,20)s(24,32,20)*s(16,40,20)+t(32,40,20)*
t(32,32,20)t(32,16,12)t(24,48,12)s(40,32,20)++*
c(32,24,20)t(40,40,20)+s(32,32,20)-t(32,48,20)-
s(40,24,20)s(16,16,12)+s(16,24,20)c(32,32,28)**
s(40,32,28)s(48,16,20)-s(32,24,20)*t(24,24,20)+
s(40,40,28)c(32,24,20)*c(40,40,20)c(32,40,20)**
s(32,8,12)s(48,48,20)+s(40,24,20)+c(32,16,12)-
s(40,48,20)s(40,24,28)s(32,8,12)-+c(32,32,20)-
c(32,32,20)t(24,32,28)*s(24,16,20)s(8,8,12)--
t(32,32,20)t(32,40,28)s(16,48,20)-*c(48,16,12)+
s(24,32,20)s(24,48,20)s(8,40,12)-t(24,40,20)+*
s(40,24,20)t(32,32,12)s(48,40,12)+s(16,24,20)--
t(24,40,28)s(24,24,20)s(16,32,20)*-c(48,48,12)-
s(24,40,28)t(24,48,28)s(24,48,20)*s(40,32,20)-*
s(32,32,28)s(32,32,20)c(24,32,20)c(32,24,20)**-
t(16,24,12)t(24,24,20)c(32,32,20)+t(32,48,28)*+
c(32,40,20)c(32,40,12)-c(32,24,20)s(24,40,28)*+
s(8,40,12)c(40,48,12)+c(16,24,12)+t(24,24,12)-
t(32,32,28)t(32,48,28)+s(16,48,20)*t(32,48,28)*
s(24,24,28)c(40,32,20)s(32,48,12)-+t(16,16,12)-
s(48,48,20)t(32,32,20)c(32,32,20)s(16,16,20)-*+
s(8,40,12)t(24,24,20)+t(32,24,20)+s(40,24,20)*
s(40,48,20)c(40,48,12)-t(24,48,28)+s(32,32,28)-
c(32,40,20)s(24,40,28)t(24,32,12)-t(24,48,28)*-
t(24,32,28)t(48,40,12)+s(24,24,20)s(40,40,28)-+
s(40,48,20)t(32,32,28)s(32,40,28)*c(40,40,20)*-
c(16,40,12)s(40,24,20)t(40,32,12)-t(24,16,12)-+
s(24,32,28)s(48,40,20)-s(48,32,20)t(24,32,12)+-
c(32,24,12)t(24,16,12)s(32,48,20)++c(16,40,12)-
c(32,24,12)s(32,40,28)c(32,32,20)*+t(32,40,28)*
c(24,40,20)t(32,32,28)c(32,40,20)**s(40,32,12)-
c(32,24,20)s(24,40,12)t(48,24,12)+-c(40,32,20)*
s(16,24,20)t(24,32,28)c(24,32,20)s(32,24,28)**-
c(24,40,20)t(24,32,12)-t(24,40,28)t(40,48,20)+*
s(32,24,20)s(48,32,20)t(32,48,28)+t(32,32,20)--
c(24,40,20)c(40,24,20)s(24,32,12)--s(24,48,20)*
s(32,40,28)s(48,48,20)-t(24,48,28)*s(16,48,20)*
c(32,24,20)s(32,40,20)s(40,40,12)--c(40,24,20)*
t(24,40,28)t(24,48,12)-s(8,48,12)s(24,24,12)+*
s(48,48,20)t(32,48,12)s(48,32,20)+*s(24,24,12)+
s(32,24,28)t(24,40,28)+c(24,24,20)*t(24,40,28)*
t(32,40,28)c(24,40,20)+s(24,48,20)-t(32,24,12)-
s(40,16,20)t(32,40,20)+s(24,40,12)-s(40,8,12)-
c(32,40,20)t(32,32,28)*s(40,24,28)t(40,56,12)+*
c(40,40,20)c(32,48,12)s(8,32,12)+-c(40,32,20)*
s(8,24,12)c(32,16,12)c(24,16,12)++t(40,24,20)-
s(40,40,28)c(48,40,12)s(24,40,28)+*c(40,40,12)-
s(32,48,20)c(40,40,12)t(16,16,12)+s(16,24,12)++
s(32,24,20)t(32,48,28)-s(48,24,20)c(48,24,12)-+
s(32,32,28)s(48,40,20)*c(32,32,20)s(40,40,20)**
s(40,48,20)s(24,40,28)s(40,24,20)-s(32,40,28)*+
c(40,40,20)c(32,40,20)c(16,32,12)c(40,24,20)+*-
s(40,32,20)s(48,32,20)s(48,24,20)+*t(24,32,20)-
s(24,24,20)t(24,40,20)t(24,48,12)-c(32,48,12)+-
c(40,48,12)s(16,48,20)+t(32,32,12)+c(32,32,20)-
c(32,24,12)s(40,40,20)+s(40,24,20)*t(24,48,28)+
s(32,24,20)c(32,40,20)s(40,32,28)+*c(40,32,20)*
s(40,32,28)t(48,32,12)-s(32,16,12)-c(24,24,20)*
s(32,48,20)s(48,16,12)c(32,48,12)+t(24,40,28)+*
s(8,24,12)c(40,40,12)+s(40,32,12)+t(16,32,12)+
s(32,40,28)s(16,8,12)+t(32,24,20)*t(24,24,20)+
t(32,40,28)s(24,32,28)s(32,48,20)t(24,32,28)+**
t(32,40,28)c(24,40,12)t(48,56,12)+s(24,24,28)+*
c(24,40,20)c(40,40,20)+c(16,32,12)-c(32,32,20)*
s(24,32,28)t(40,32,20)t(48,32,12)+c(24,40,12)--
s(24,32,28)t(24,32,28)s(24,40,28)s(8,32,12)-+*
c(40,32,20)s(48,16,20)*s(32,24,12)+s(32,16,20)*
s(48,40,20)s(48,40,20)s(40,32,20)*c(48,16,12)+*
s(24,40,20)s(40,40,28)s(32,48,20)t(24,40,12)-*+
s(24,32,28)s(16,40,20)*s(32,24,28)c(24,24,12)-+
s(32,32,20)s(24,16,20)s(24,32,20)*t(32,32,20)+*
s(32,40,20)t(24,48,28)s(8,16,12)+*t(24,16,12)+
c(40,32,12)t(24,40,20)+c(16,24,12)-c(40,24,20)*
s(32,32,28)s(24,48,12)-c(40,40,12)s(8,16,12)+*
s(48,40,20)s(24,32,28)s(48,48,20)t(24,32,28)++*
s(32,16,20)s(40,8,12)s(40,24,20)+t(32,40,20)++
c(32,40,20)c(16,40,12)-c(16,16,12)+s(48,24,20)+
c(40,32,20)t(16,32,12)c(40,32,20)s(24,32,28)-+*
s(40,40,20)c(32,16,12)s(48,24,12)+-t(32,40,20)*
s(40,40,28)t(32,40,28)s(24,40,28)**s(40,32,12)-
c(24,32,20)c(24,40,20)s(32,24,12)-*s(32,48,20)*
t(48,48,12)t(40,16,12)+s(8,48,12)+c(48,40,12)-
s(24,32,20)s(32,32,28)t(32,16,12)-*s(8,24,12)-
t(24,24,20)s(48,24,12)+c(40,24,20)*t(48,48,12)+
s(48,24,12)c(24,16,12)t(40,40,12)++c(40,40,20)-
t(24,32,20)t(24,56,12)t(32,56,12)+c(40,40,12)+-
c(16,48,12)s(40,48,12)+s(40,48,20)s(32,40,20)*-
s(48,48,12)s(32,24,12)+s(24,32,20)s(48,40,12)+*
t(24,32,12)s(32,24,20)s(16,32,20)c(24,40,20)*-+
s(48,40,20)s(40,48,20)t(40,40,20)+s(24,48,12)-*
c(24,32,20)s(32,32,12)t(24,24,12)+-t(32,16,12)+
c(40,48,12)s(24,24,28)c(16,40,12)-t(32,48,28)-+
s(24,16,20)s(48,24,20)c(32,24,20)c(24,32,20)*+-
t(24,48,20)t(24,32,28)+c(32,32,20)s(48,40,12)-+
s(40,40,28)c(24,48,12)-s(32,32,20)c(40,32,20)*+
t(32,40,28)t(24,48,12)-c(24,40,20)+c(48,16,12)+
c(32,40,20)t(24,40,28)*s(32,32,20)*c(32,16,12)+
t(24,24,20)c(40,48,12)+s(32,32,20)*s(48,24,20)-
s(40,24,20)c(24,40,20)t(24,40,12)c(24,24,12)+*-
s(40,16,20)s(24,48,20)t(40,48,20)-+s(24,24,20)*
s(24,32,28)t(24,40,28)-s(40,32,28)c(24,32,20)*-
s(40,40,28)s(16,24,20)t(24,32,28)t(24,48,12)++*
s(32,32,28)t(48,32,12)-s(32,24,20)c(40,24,20)**
c(24,24,20)s(32,16,20)t(32,40,28)t(24,40,28)*+*
c(32,32,20)t(32,24,20)s(8,16,12)+t(24,40,28)-+
s(16,24,20)s(32,40,28)t(16,16,12)+*t(24,56,12)+
s(16,8,12)s(24,40,28)s(24,24,28)c(24,32,20)*-+
t(48,24,12)s(16,48,20)s(32,32,28)c(40,24,20)-++
s(48,40,20)c(40,40,20)c(24,40,20)c(40,24,20)+**
s(16,48,12)s(48,8,12)+s(40,24,20)c(16,16,12)+-
s(40,32,28)s(40,40,28)t(40,24,20)-*c(48,40,12)-
s(32,24,20)s(48,32,20)-s(48,16,20)t(32,24,20)--
t(16,40,12)t(32,40,20)+s(40,48,12)s(48,48,12)+-
s(40,40,20)s(48,40,20)*t(24,40,20)-t(40,24,12)-
t(32,32,28)c(24,40,20)t(32,48,28)s(16,16,20)++*
t(24,40,28)s(32,16,20)-c(24,48,12)-c(40,48,12)+
s(40,24,28)s(40,40,20)c(24,16,12)+s(48,32,20)**
c(40,24,20)t(40,40,20)-c(32,32,12)-c(32,40,20)+
s(32,48,20)s(24,16,12)t(24,32,12)+c(24,16,12)++
t(24,40,20)t(48,56,12)s(32,24,12)+s(8,16,12)+-
c(16,40,12)s(24,24,20)+t(16,24,12)-t(16,16,12)-
c(24,40,20)s(32,40,28)*s(32,24,20)-t(16,40,12)-
s(24,24,12)t(48,32,12)+s(48,32,20)+c(24,32,20)*
c(24,40,20)t(32,32,20)s(40,16,20)s(16,48,12)++*
c(32,40,20)c(40,24,20)t(40,48,12)s(32,24,20)+**
s(40,32,20)s(32,40,20)t(40,48,12)-s(32,48,20)*-
s(24,32,28)s(8,16,12)-t(32,40,28)*t(24,40,28)+
c(32,32,28)s(48,32,20)s(24,24,20)-*s(32,32,28)*
s(24,40,28)s(32,24,28)s(48,16,12)-c(16,16,12)-*
s(40,40,28)c(32,32,28)t(24,40,28)s(16,40,20)*-*
s(16,24,20)s(8,16,12)c(48,48,12)+-t(32,40,28)-
s(24,32,28)s(16,40,12)-c(32,24,20)c(32,32,20)**
s(32,24,28)c(24,40,20)s(40,40,28)*-s(16,40,20)+
s(16,16,12)c(24,40,20)t(32,48,20)*s(24,40,12)++
s(24,16,12)t(32,48,28)+t(32,40,12)s(16,24,12)+-
c(32,32,20)s(48,24,20)-s(24,40,28)*t(32,32,28)*
s(16,40,20)s(48,24,20)t(24,48,28)+s(24,40,20)**
c(40,48,12)s(32,24,28)c(40,24,20)*+t(24,48,28)-
s(24,16,20)s(16,48,12)+t(40,16,12)s(16,24,20)+-
s(40,32,28)s(48,24,20)+s(40,32,20)c(16,32,12)++
s(24,40,20)s(16,24,12)+t(24,24,12)-c(24,48,12)-
s(32,24,28)t(24,32,28)*c(24,32,12)t(32,48,12)+*
s(40,32,20)s(40,24,20)s(40,48,20)t(32,32,20)+--
c(40,32,20)s(8,32,12)t(48,48,12)+s(32,32,20)+*
s(40,40,20)s(40,24,12)c(32,48,12)++s(32,32,12)-
c(40,40,20)s(40,48,20)s(48,40,12)-*t(24,48,12)-
t(32,40,20)s(24,40,28)s(16,32,20)*+t(40,48,12)-
t(24,40,12)s(16,16,20)+c(32,48,12)+c(40,16,12)+
c(32,40,20)t(32,32,28)s(24,24,12)--s(32,32,28)+
s(32,24,28)s(40,16,20)t(32,32,20)--c(24,40,20)*
c(24,24,20)c(32,24,20)s(32,48,20)-*s(16,40,20)-
c(24,24,20)c(32,32,28)c(40,40,20)s(40,24,12)--*
t(32,32,28)c(40,24,20)c(40,32,20)**c(40,40,20)*
t(40,40,20)t(24,40,28)t(24,32,28)t(32,40,28)*--
c(32,32,20)t(40,24,20)t(32,32,12)+s(32,40,20)+*
s(24,24,28)s(40,40,28)c(24,32,20)t(48,16,12)+*-
c(32,40,20)t(32,40,20)s(24,48,20)+s(48,16,20)++
s(24,40,20)s(48,32,20)+s(48,48,20)*s(48,16,12)+
s(16,40,20)t(40,40,20)+c(40,32,20)t(40,48,12)--
c(24,40,20)c(32,40,20)s(40,32,20)s(8,48,12)+-*
s(16,32,20)c(32,32,28)*s(24,32,20)c(32,24,12)+*
s(48,24,20)t(32,24,20)+c(40,24,20)s(32,24,28)**
c(32,24,20)s(48,16,20)t(40,32,20)--t(40,32,20)*
t(16,48,12)t(24,32,28)c(40,24,20)+s(24,40,20)*+
t(32,24,20)s(48,40,12)+t(32,16,12)-c(40,40,20)*
s(24,40,28)s(32,16,20)s(32,24,12)c(32,48,12)++*
t(32,48,20)c(24,48,12)c(48,16,12)++t(16,48,12)-
s(8,40,12)s(40,24,20)+t(24,24,20)c(32,32,20)+*
s(40,40,28)c(24,48,12)c(40,48,12)s(24,32,20)++*
s(32,24,28)s(16,48,20)+c(16,24,12)s(48,32,12)+*
s(32,32,28)c(24,32,20)t(24,24,20)-c(32,24,12)+*
s(32,40,28)s(48,40,20)t(24,48,12)s(48,24,20)+--
s(40,24,28)c(32,24,20)*s(24,32,28)*c(40,40,20)*
c(40,40,12)t(24,40,12)t(48,24,12)++t(32,48,28)*
s(48,32,20)t(48,16,12)+t(24,32,12)+s(40,32,20)*
s(32,24,28)c(32,40,20)t(48,24,12)+t(40,16,12)+*
s(48,40,12)c(24,40,20)s(32,32,28)*c(32,40,20)*+
t(32,32,20)c(24,40,20)c(32,32,20)*s(32,32,20)**
c(40,40,20)c(40,24,20)c(32,24,20)*c(32,40,20)**
s(24,40,20)s(16,24,20)c(32,32,20)+*t(16,40,12)+
t(24,32,28)s(32,32,20)c(40,16,12)-s(8,48,12)++
c(24,40,12)t(48,48,12)c(32,16,12)++s(24,24,20)*
c(24,40,20)t(24,48,28)*s(48,40,20)+t(40,24,20)+
t(32,32,28)t(48,16,12)s(40,24,20)c(32,32,20)*+*
c(40,32,20)s(32,24,20)*t(24,40,28)t(40,32,12)++
s(24,24,28)s(40,48,20)t(24,24,12)s(48,16,20)++*
t(32,40,28)s(48,32,20)+c(32,24,20)*c(32,40,20)*
t(24,48,12)s(32,32,28)s(16,24,12)-t(32,48,28)-+
s(40,24,20)c(40,40,12)-c(32,24,20)*s(48,32,12)-
s(24,24,12)s(32,48,20)+t(32,32,20)-s(8,16,12)+
s(32,8,12)c(16,40,12)+c(24,32,20)+s(16,32,20)*
s(16,32,12)s(48,48,20)s(40,40,20)s(32,40,20)*-+
s(40,16,12)c(32,32,20)s(32,40,28)*c(40,24,20)-+
s(32,32,20)s(40,32,20)s(40,16,20)*+s(40,40,20)-
c(40,48,12)t(32,24,20)+s(24,40,20)s(24,48,12)-+
s(48,24,20)t(32,40,28)s(40,32,28)+s(40,48,20)*-
s(40,32,20)c(16,24,12)+c(48,16,12)-c(32,40,12)+
s(48,24,20)s(40,32,28)s(24,32,28)-*t(24,48,12)+
s(24,48,12)s(24,40,28)s(32,32,20)s(48,32,12)-*+
s(40,24,28)c(40,24,20)s(48,32,20)--t(40,40,12)-
c(24,32,20)s(32,24,28)t(40,24,12)-s(40,40,20)-*
c(32,32,28)s(32,32,12)-c(40,40,20)-s(16,16,20)*
s(48,40,12)t(24,32,20)+s(40,32,20)+s(40,40,20)-
s(40,40,20)s(48,32,12)s(24,8,12)+-t(40,48,12)-
s(48,40,12)c(24,32,12)t(40,32,12)t(16,40,12)+++
c(24,24,20)t(24,32,28)s(48,48,12)s(32,40,20)+--
s(40,32,28)t(16,56,12)c(24,32,20)+t(24,48,28)*+
s(40,32,20)s(24,40,12)c(48,32,12)+s(32,48,12)--
s(32,40,20)s(40,32,20)*s(40,40,28)s(40,40,20)-+
c(48,32,12)c(48,16,12)+s(24,32,28)t(24,48,20)--
c(40,32,12)t(32,40,28)+t(32,48,28)t(32,56,12)--
s(32,24,28)c(24,24,20)c(40,32,20)*t(40,56,12)+*
s(16,16,20)s(8,32,12)-s(24,32,28)c(32,32,12)-+
c(32,32,28)s(40,32,12)-t(32,32,12)c(32,16,12)+-
s(24,24,28)s(40,16,20)-s(40,48,20)s(40,48,12)--
c(40,24,12)t(16,32,12)s(32,24,20)t(32,40,28)-++
s(40,32,20)s(24,32,12)s(40,40,12)+*t(24,32,12)+
s(16,40,12)t(32,40,28)+t(24,32,28)+s(24,40,28)*
c(32,48,12)t(48,56,12)+s(24,16,12)+s(40,24,28)-
t(40,32,20)t(24,40,20)+s(40,48,20)-t(48,32,12)-
s(8,40,12)s(16,48,20)s(32,48,20)*s(32,16,20)++
s(24,24,20)c(32,32,20)*s(24,24,20)c(40,24,12)-*
t(24,48,20)s(32,32,20)s(32,32,20)s(24,40,20)--+
s(16,32,20)s(24,16,20)-s(40,32,28)s(16,24,20)-+
s(32,24,20)s(40,32,12)-s(24,48,20)t(24,32,28)*-
s(24,24,20)t(48,32,12)+s(32,40,12)+s(32,32,20)*
c(16,16,12)s(16,40,20)s(32,32,28)c(24,32,20)*++
s(16,40,12)c(24,40,12)+s(40,32,28)c(40,40,20)*+
s(40,40,20)c(32,16,12)+s(16,48,12)c(40,48,12)+-
s(32,48,20)c(32,24,12)s(40,48,12)+s(48,48,12)--
s(24,24,28)s(24,24,28)s(48,48,12)+c(32,32,20)-*
s(48,24,12)s(40,24,28)s(40,24,12)t(24,24,12)+-+
s(24,48,12)c(32,32,28)s(40,16,20)*s(48,24,20)*+
t(32,40,12)t(40,32,20)+t(32,32,28)s(24,16,20)-*
s(32,24,28)c(40,32,20)-c(40,32,20)c(40,40,20)*+
t(32,32,20)s(16,24,20)s(40,24,28)+t(24,32,28)**
t(48,40,12)s(16,48,20)+t(32,40,20)-t(24,32,12)+
s(16,24,12)c(16,32,12)+c(32,40,12)+s(16,40,20)*
t(16,56,12)s(32,24,12)+c(32,24,20)s(40,32,20)*+
c(16,48,12)s(32,40,20)s(40,48,20)+t(24,48,20)*+
c(24,24,20)s(32,24,20)*s(40,24,28)*t(32,40,20)+
s(16,40,20)c(48,16,12)c(40,32,12)t(24,24,12)++-
c(24,24,20)t(40,24,12)-c(32,24,20)*s(8,40,12)+
c(32,32,20)t(24,40,12)-s(24,8,12)s(24,40,20)+*
s(48,32,20)s(40,24,28)t(16,24,12)+*t(40,32,20)*
s(16,48,20)c(40,32,20)s(32,32,28)*c(48,24,12)--
c(32,32,20)s(16,24,12)-s(40,24,20)s(32,16,20)+-
c(32,32,28)s(24,40,28)*c(40,40,20)*c(32,24,20)*
s(24,32,28)s(32,40,20)*s(24,16,20)s(16,24,20)*-
s(40,32,28)s(48,24,12)t(32,32,28)s(24,24,28)*+*
c(16,24,12)c(16,48,12)t(24,16,12)++s(32,48,20)+
s(32,32,20)t(32,40,28)*s(40,24,28)*c(40,48,12)-
s(32,48,20)c(32,32,20)c(32,40,20)**c(24,32,20)*
s(16,16,12)t(40,16,12)+c(48,32,12)+t(24,32,28)-
c(16,48,12)s(48,40,12)+t(16,56,12)s(16,40,20)+*
s(32,16,20)c(16,48,12)s(24,24,20)+s(24,48,20)--
c(32,32,28)c(40,40,12)-s(32,16,20)*s(16,16,12)-
s(24,48,20)s(32,40,20)t(32,24,20)s(24,32,28)*-*
s(8,24,12)c(48,40,12)t(48,16,12)++s(48,16,12)-
s(16,48,20)s(24,16,20)s(24,40,12)+s(16,48,12)+-
s(32,32,28)c(32,40,20)c(16,32,12)-*t(24,48,28)+
t(32,40,28)s(40,40,20)*c(24,32,20)s(24,48,20)--
c(24,16,12)c(40,40,20)+s(32,24,20)c(24,32,12)+-
c(32,32,28)c(40,40,12)-s(16,16,20)c(24,40,20)--
s(32,16,20)c(24,24,20)s(32,48,20)-*t(16,16,12)-
t(24,40,28)s(40,40,28)*s(24,32,28)*s(40,16,20)-
s(32,48,20)s(40,48,12)c(40,24,12)+s(24,40,28)*-
s(40,48,12)t(48,16,12)+c(24,24,12)+c(16,32,12)-
t(24,40,20)t(32,40,28)t(24,40,28)*s(24,24,12)+*
s(16,24,12)c(16,16,12)t(32,24,12)++s(24,16,20)*
c(40,40,20)s(24,40,28)t(32,32,28)**s(40,40,20)*
t(32,32,28)s(48,40,20)-s(24,40,20)*s(16,16,20)+
s(40,40,20)c(16,16,12)s(40,40,20)+c(32,32,12)-*
s(24,40,20)t(24,40,28)c(24,32,12)t(40,16,12)+*-
c(32,48,12)t(48,24,12)+s(40,40,20)*c(40,32,12)+
s(32,32,28)s(24,24,28)t(24,32,28)*-t(24,40,20)-
c(32,32,28)s(48,40,20)c(32,32,20)--t(24,40,28)*
s(40,40,20)s(40,24,28)*s(16,16,12)+s(40,24,12)+
c(24,32,20)t(24,32,28)*c(32,24,12)+s(32,16,20)*
s(32,32,20)t(40,16,12)t(32,32,20)+t(40,40,20)+*
s(32,32,20)t(24,40,28)c(16,32,12)+s(40,40,20)*-
c(32,32,20)c(32,40,12)-c(40,32,20)s(8,48,12)+*
s(40,48,20)t(24,32,20)s(32,24,12)++s(24,32,20)*
c(40,24,20)s(48,16,20)t(32,32,28)s(24,24,12)-+*
s(16,40,12)s(16,16,12)+t(24,32,28)+t(24,48,28)*
s(16,24,20)s(24,24,12)-t(16,24,12)-s(24,16,12)-
s(40,40,28)s(32,48,12)-t(24,48,20)-s(48,48,20)*
s(32,32,28)s(24,32,12)-c(32,48,12)+s(40,48,20)*
s(40,40,28)c(48,24,12)s(40,8,12)+-s(24,24,28)-
s(32,8,12)s(32,32,28)c(16,48,12)++t(32,32,12)-
c(32,32,20)s(40,16,12)+t(32,32,28)*c(48,32,12)+
t(32,40,28)s(32,32,20)s(16,24,20)-c(32,16,12)--
c(40,16,12)c(40,24,12)+s(40,32,28)s(24,48,12)-*
t(40,56,12)c(24,40,20)+s(24,24,28)*s(8,32,12)+
c(24,40,20)t(40,40,12)c(24,48,12)s(48,16,12)++*
s(40,24,28)s(32,48,12)t(24,48,20)+s(40,32,12)++
s(24,48,20)s(16,8,12)+c(40,40,20)*s(40,16,20)+
s(40,40,20)s(24,32,12)t(32,48,28)s(40,48,20)*+*
s(24,48,20)s(32,40,20)*s(16,32,20)+t(32,48,12)-
s(40,32,28)t(16,40,12)+s(48,24,12)s(40,48,20)+*
s(24,32,20)s(24,40,12)-s(40,32,28)+s(24,32,20)-
s(32,24,28)s(48,48,20)s(48,32,20)*c(40,24,12)+*
t(32,32,20)s(24,24,28)c(16,40,12)-+s(32,32,20)-
t(40,56,12)c(40,24,20)c(32,40,20)*+t(32,40,28)*
s(24,32,28)s(40,48,20)t(40,48,12)-t(32,48,28)*-
s(24,48,20)s(24,24,20)-s(32,24,12)s(48,48,12)++
t(48,40,12)s(24,16,20)+s(32,48,20)+c(32,40,12)-
c(32,24,20)t(24,40,20)+c(40,40,20)*t(16,40,12)+
c(48,48,12)t(24,32,12)+t(32,40,12)+s(40,48,20)*
s(32,48,20)c(24,24,20)t(24,48,20)c(24,16,12)++*
s(32,40,20)c(32,32,20)*s(24,24,28)s(24,40,28)**
t(32,40,28)s(16,24,20)s(32,24,20)+*s(32,40,20)+
s(48,8,12)s(24,40,28)s(32,48,20)s(48,40,20)-*+
s(24,40,20)t(24,24,12)-c(40,32,12)s(32,8,12)+-
s(40,48,20)s(24,16,20)t(48,40,12)+t(16,24,12)-+
c(48,32,12)s(32,24,12)+s(32,48,20)t(24,40,28)*+
c(40,48,12)s(16,40,20)+s(32,8,12)t(48,24,12)++
t(24,48,28)s(8,40,12)s(24,40,20)+*s(24,32,12)-
c(32,32,20)s(24,48,20)-s(32,32,28)s(16,40,20)*-
s(40,40,28)t(32,48,12)-t(24,48,20)t(32,40,28)+-
t(24,48,20)s(16,16,20)+s(24,24,28)*s(24,24,20)*
s(48,40,20)s(48,48,20)t(16,32,12)+c(40,40,20)**
c(40,24,20)s(24,48,20)-c(32,24,20)s(16,16,20)-*
s(32,48,20)s(16,40,12)c(32,32,12)+-t(48,40,12)+
t(40,56,12)c(16,16,12)+c(24,48,12)t(48,56,12)++
c(24,24,20)c(32,40,20)c(32,24,20)*c(32,40,12)+-
t(24,40,12)t(24,32,28)s(40,32,20)c(24,40,12)+-+
s(32,40,28)t(32,40,20)s(8,16,12)+*t(16,16,12)+
c(24,40,20)s(24,48,20)*s(24,40,20)c(32,32,12)-*
s(40,16,12)s(32,24,28)s(48,32,20)-s(32,32,28)*+
c(40,32,20)s(32,48,20)s(32,32,20)t(40,48,20)+**
s(32,24,28)t(32,48,28)+s(24,32,28)*c(16,32,12)-
c(24,40,20)t(32,32,28)c(40,32,20)*s(48,40,12)-*
s(24,40,20)t(40,16,12)+t(24,48,28)s(32,40,12)--
t(24,48,28)s(32,16,20)t(32,40,28)+*s(24,32,12)+
s(24,24,28)s(24,16,20)t(48,40,12)+s(40,24,20)+*
s(32,24,20)s(32,32,20)t(32,48,28)s(32,32,28)**-
t(24,32,20)s(48,24,12)t(40,24,20)t(48,40,12)++-
t(32,32,28)s(40,24,20)t(24,40,28)+*s(24,16,12)-
s(40,32,28)t(40,24,20)-c(16,40,12)-t(32,48,20)-
s(48,24,12)c(48,40,12)t(24,56,12)++s(40,32,28)*
t(40,32,20)s(8,48,12)t(32,48,20)+s(24,40,12)--
t(32,16,12)t(24,48,20)+s(32,24,20)-t(24,32,20)-
s(24,24,12)s(48,16,12)s(40,40,28)+c(24,24,20)*+
s(40,32,28)s(48,16,20)-t(24,24,20)-s(32,40,20)+
s(24,32,28)s(32,16,12)-s(16,24,20)*t(32,24,20)-
t(32,48,28)t(32,48,12)-t(24,48,12)s(48,48,12)+-
s(32,24,20)s(32,32,20)*s(24,24,20)t(24,40,28)-+
c(24,40,20)t(32,48,28)s(48,16,20)+*s(40,40,20)*
s(32,24,28)s(24,24,20)s(32,40,20)-*s(48,40,20)+
s(32,24,20)s(48,24,12)-t(32,24,12)-s(40,8,12)+
s(16,32,20)s(24,24,28)*c(32,32,28)s(16,24,20)-+
s(24,32,28)s(24,24,28)s(16,40,12)-*c(24,48,12)+
s(8,24,12)s(8,32,12)t(40,40,20)++c(32,32,20)*
s(40,32,20)c(24,24,20)t(24,48,28)-+t(48,40,12)-
s(32,40,28)s(16,48,20)-t(48,56,12)-t(40,24,20)-
s(32,48,20)s(40,48,20)c(48,32,12)-s(24,24,28)-*
s(40,24,20)c(40,32,20)s(24,32,20)-*s(48,40,20)+
t(32,40,28)t(24,48,28)-c(24,32,20)t(24,40,28)-+
s(48,32,20)s(24,40,12)s(40,32,20)+t(40,48,20)-*
t(32,40,28)t(48,56,12)s(40,40,20)+*t(24,40,12)-
s(48,40,20)s(48,16,12)+s(48,24,12)t(32,48,20)++
s(48,40,20)s(24,40,28)c(32,32,20)s(32,24,28)*+*
s(24,40,20)s(40,32,28)s(16,32,20)t(40,48,12)+*-
t(32,48,20)c(32,32,12)t(16,16,12)+-c(40,48,12)+
t(32,32,28)s(16,48,12)+s(24,32,28)s(24,48,20)**
t(32,40,28)s(32,16,20)-s(40,48,20)s(24,40,28)**
s(32,16,20)t(48,32,12)+s(32,32,28)s(40,24,20)**
t(32,24,20)c(32,24,20)t(32,40,20)s(8,40,12)+-*
t(40,48,12)s(24,32,20)s(40,24,28)t(24,40,28)*-+
t(40,40,20)s(40,32,20)*t(32,56,12)+t(40,24,12)-
s(24,40,20)s(24,48,20)*c(24,32,12)s(32,40,20)+*
t(40,40,20)t(32,56,12)+s(40,48,20)t(40,32,12)-*
s(16,32,20)s(32,24,28)s(40,24,28)*-s(16,40,20)*
s(40,32,28)c(24,40,20)*c(32,32,20)s(48,32,20)*-
s(24,40,28)c(32,24,12)t(24,32,28)t(32,32,28)*+*
s(40,48,20)s(40,32,20)s(40,48,20)*s(24,32,12)+*
s(32,32,28)c(32,40,20)s(8,40,12)s(24,40,20)++*
s(16,24,20)s(40,32,28)c(24,40,12)-t(24,48,12)+-
s(24,32,28)s(16,32,20)s(32,32,28)s(40,24,20)*-*
c(16,24,12)s(32,40,28)+s(40,40,28)-s(24,32,28)*
t(32,48,28)s(16,40,12)+s(24,40,28)t(24,24,20)--
s(48,16,20)s(32,48,20)+s(40,40,12)s(24,32,20)+*
s(16,32,20)s(40,32,20)s(8,8,12)++t(32,40,28)-
s(32,16,12)s(24,8,12)+s(24,16,12)+c(24,48,12)+
t(32,32,28)c(16,40,12)+t(24,48,28)c(24,40,20)*-
c(40,32,20)c(48,32,12)s(32,40,20)+s(16,24,20)-*
s(48,48,12)s(32,32,12)+c(40,32,20)s(24,24,12)-*
s(40,24,12)s(16,48,20)c(32,32,12)+s(32,24,28)*+
s(32,48,20)s(32,40,28)t(24,40,28)*s(32,24,28)*-
c(32,40,20)s(32,32,28)s(16,48,20)-+s(48,48,20)-
t(32,32,28)c(24,40,12)-s(40,24,20)c(32,32,20)**
s(40,32,20)s(24,24,20)-s(24,32,20)-t(32,40,20)+
s(24,40,20)s(40,24,12)+s(40,32,28)c(24,40,20)*-
s(24,40,20)s(48,24,12)+t(40,24,12)-c(16,24,12)-
s(24,32,28)s(40,24,28)s(40,32,28)+*s(32,16,20)*
s(40,40,28)s(40,48,12)-c(24,16,12)t(32,48,12)+-
s(8,8,12)c(32,24,20)t(16,16,12)c(24,40,20)+*+
t(32,40,28)s(24,40,28)*c(40,24,20)+s(48,32,20)-
s(48,40,12)t(32,40,20)+s(48,48,20)s(40,32,28)**
s(48,40,12)s(40,24,28)s(24,32,28)*+c(24,24,20)*
s(48,32,20)s(48,40,20)c(32,48,12)-+t(24,56,12)+
c(24,40,20)c(32,32,20)*s(24,32,20)t(24,40,20)-+
s(24,32,20)s(32,48,20)c(40,32,20)*-s(48,40,20)+
s(32,24,20)t(32,48,20)s(24,32,20)+*s(16,32,12)+
s(40,24,20)s(40,48,12)+s(32,32,20)t(24,40,12)--
s(24,24,20)t(24,32,20)s(40,40,12)-c(32,32,20)*-
s(40,24,28)s(16,24,20)s(24,24,20)c(48,32,12)+*-
c(32,40,12)t(24,32,20)+t(24,48,28)c(32,40,20)+*
t(24,40,12)t(40,40,20)+s(24,40,28)*t(32,32,28)*
s(24,48,20)s(24,40,28)s(40,40,20)-*t(40,32,12)+
s(32,24,28)s(40,40,20)-s(24,24,20)c(40,16,12)-+
s(40,48,20)s(40,40,20)+t(24,48,28)s(24,8,12)+-
s(40,8,12)s(48,16,12)+s(32,40,12)+c(32,32,20)*
t(40,24,20)s(32,32,28)t(32,40,28)s(16,48,12)-*+
t(32,56,12)c(32,24,12)+t(48,56,12)+t(24,24,20)-
t(24,40,28)s(32,32,20)s(48,32,12)-c(24,24,20)**
s(40,40,28)t(40,32,12)-s(24,40,28)*s(24,24,20)+
c(24,40,20)c(32,40,20)t(32,32,20)s(8,48,12)+**
s(40,32,28)s(32,32,28)*t(32,40,28)*c(40,48,12)-
s(32,24,20)t(24,48,20)s(16,40,20)c(16,48,12)-++
t(48,56,12)s(32,24,28)s(40,8,12)-s(40,40,20)*+
c(40,24,20)c(32,24,20)*c(32,40,20)+t(24,48,28)*
t(24,48,28)s(24,40,20)c(16,40,12)c(40,32,20)+**
c(32,32,28)s(16,24,20)t(32,40,28)c(24,32,20)*-*
c(40,40,20)c(32,16,12)s(40,16,12)+c(48,24,12)+-
s(48,8,12)s(8,8,12)t(24,48,20)+s(16,40,12)++
s(24,32,20)s(16,24,12)t(40,24,12)++s(40,32,12)-
s(48,48,20)t(32,24,12)+t(24,16,12)+t(16,32,12)+
t(24,32,28)c(48,40,12)-s(48,48,20)c(16,48,12)+-
s(48,24,20)t(24,40,20)s(48,24,20)+c(40,16,12)-*
s(32,16,12)c(48,40,12)+s(24,40,28)s(16,32,12)-+
t(24,32,12)s(32,40,28)c(40,32,12)-s(24,48,20)-+
t(24,24,12)s(24,40,28)s(48,40,20)-c(16,32,12)-+
s(32,40,12)s(40,48,20)c(24,40,20)-+s(32,40,20)*
t(40,32,20)s(16,32,20)+s(40,48,12)+s(40,24,20)*
s(48,48,20)s(32,40,28)*s(8,24,12)+t(24,32,12)+
s(40,40,28)s(48,24,20)-s(32,24,12)-t(40,48,20)*
c(32,32,28)s(48,24,12)s(40,16,12)+-t(24,48,20)*
t(32,48,20)c(32,40,20)s(24,32,20)*s(48,32,20)--
c(32,32,20)s(32,24,12)t(40,48,12)+-s(24,24,20)-
c(32,32,28)t(32,24,20)s(48,16,12)s(24,40,12)+--
c(32,32,28)s(24,32,28)-t(32,40,28)+t(32,32,20)-
s(48,16,20)s(40,32,28)s(48,48,12)-t(40,48,12)+*
c(32,32,28)s(40,32,28)t(32,40,28)s(40,48,20)**-
c(24,32,20)t(24,32,20)s(40,48,20)+s(32,48,20)++
s(32,24,28)s(40,40,28)*s(24,40,20)c(16,24,12)--
c(40,24,20)c(24,40,12)c(24,32,20)c(24,24,20)*+-
s(32,24,12)s(32,24,28)c(32,24,12)-+c(40,32,20)*
t(16,56,12)s(8,8,12)+s(40,40,28)s(24,24,28)-+
s(24,8,12)s(24,40,20)+t(32,32,28)s(32,40,20)*-
t(32,48,20)c(32,24,20)s(40,32,20)s(16,32,20)--+
c(40,24,12)t(32,32,28)+s(32,40,12)c(48,24,12)+-
s(40,40,20)s(40,48,20)c(24,48,12)s(24,24,12)++*
s(40,40,28)t(32,48,12)-s(16,48,20)c(32,32,28)*+
s(40,40,28)c(32,32,28)s(24,32,20)-s(8,8,12)+*
s(32,32,12)s(32,48,20)t(24,48,28)s(24,40,28)**+
c(40,48,12)c(24,32,20)s(32,32,28)*c(32,32,20)*+
s(32,40,28)s(24,24,20)s(16,32,20)*-s(48,24,20)-
c(40,40,20)t(48,24,12)-c(24,24,20)-c(32,16,12)+
s(24,32,28)s(40,8,12)c(24,40,12)+t(32,56,12)+*
s(48,40,12)s(24,24,20)s(40,16,12)++s(16,24,20)+
t(24,16,12)s(16,32,12)t(40,48,20)++t(16,32,12)-
s(24,48,20)t(24,32,28)-s(40,16,20)+s(32,24,20)*
t(24,48,28)s(40,8,12)+s(32,48,20)*t(16,40,12)+
c(40,40,20)s(40,24,28)t(24,32,28)+s(16,40,12)-*
s(40,24,20)c(24,24,20)t(32,40,12)-c(32,32,20)+*
s(32,32,28)s(40,40,28)t(40,40,12)-*s(24,32,28)*
s(8,24,12)c(24,24,12)t(40,32,20)++c(40,40,20)*
s(24,40,28)s(24,32,20)-c(32,32,20)+t(32,32,28)-
t(32,40,28)s(40,40,12)-s(32,24,12)-s(24,40,20)+
t(48,24,12)s(16,32,20)t(24,32,28)t(32,40,20)-*+
c(24,16,12)s(24,32,28)c(24,40,20)*+c(24,24,20)-
t(32,32,28)s(48,40,12)t(24,40,28)+t(24,24,20)++
c(48,32,12)s(24,16,20)+s(48,32,20)s(48,48,20)+*
c(24,24,20)t(32,32,28)c(48,16,12)+*c(16,24,12)-
s(16,24,12)s(40,32,20)+s(40,16,20)s(40,32,12)+*
c(32,32,28)s(48,48,20)-s(16,48,20)*t(40,40,20)-
s(48,8,12)c(48,32,12)+t(40,16,12)+c(32,32,12)+
t(32,32,28)s(40,32,12)-s(24,32,28)*t(24,40,28)*
t(24,40,28)s(32,32,28)*t(24,40,20)s(16,40,20)*-
s(24,40,20)s(24,48,12)-s(24,32,20)+c(40,32,20)*
c(40,32,20)c(32,40,20)c(24,40,20)*-t(40,16,12)-
t(24,48,28)s(24,32,28)s(40,40,28)t(16,56,12)+*-
s(40,40,12)s(32,40,28)s(48,40,20)*s(48,32,20)*+
c(16,32,12)t(48,56,12)+s(32,24,20)c(40,40,12)+-
s(24,24,28)t(32,40,28)s(40,40,20)+t(32,24,20)-+
t(24,32,20)t(40,32,20)s(24,16,20)--t(32,32,20)+
c(32,40,20)s(40,32,20)c(32,32,12)-s(32,16,20)+-
c(16,16,12)c(24,40,20)s(40,40,20)t(24,32,20)+-+
c(24,24,20)c(24,40,12)-t(24,24,12)-c(40,24,12)-
c(32,48,12)c(16,40,12)+t(24,48,20)*s(8,24,12)+
s(32,40,28)c(40,32,20)s(48,32,20)s(48,16,12)++-
c(32,24,20)s(8,48,12)s(40,40,20)+s(24,40,20)+*
t(24,40,28)s(8,40,12)c(40,32,20)+s(32,40,20)*-
c(40,32,12)s(8,8,12)t(40,40,12)++t(40,32,20)*
s(8,8,12)s(24,24,12)+t(24,32,28)s(40,40,28)*-
s(40,48,20)s(24,40,28)c(32,24,20)-s(32,40,20)--
t(48,24,12)t(40,40,20)t(40,24,12)-c(40,48,12)++
t(48,24,12)s(24,32,12)+s(48,48,20)t(40,48,12)-+
c(40,32,20)t(16,32,12)+s(32,32,12)-c(24,24,20)*
s(24,24,28)c(32,32,12)t(24,48,28)+s(48,40,20)--
s(32,40,20)s(32,32,20)s(48,32,20)-s(16,8,12)+-
t(32,48,20)s(40,16,20)+t(24,48,20)+c(40,32,20)-
s(16,48,20)s(32,40,28)c(16,48,12)t(16,40,12)+--
c(24,24,20)s(40,24,20)+s(40,32,28)t(24,32,28)**
t(24,40,28)c(24,40,20)s(32,40,28)**c(16,16,12)+
c(40,24,20)s(40,32,28)*c(32,32,20)c(32,40,20)+*
t(32,40,28)t(40,48,12)c(32,40,20)s(48,32,20)*+*
c(40,40,12)t(32,40,20)+s(24,32,20)t(40,32,20)--
s(40,40,20)c(40,24,20)*t(24,48,20)t(16,40,12)-+
s(40,24,28)s(16,32,20)s(24,48,20)+t(40,16,12)+-
s(32,40,20)s(40,24,20)s(40,32,20)s(24,32,12)-*-
s(48,16,20)c(24,40,20)+t(24,32,28)*s(32,32,28)*
c(40,24,20)c(40,40,20)*s(32,16,20)s(32,32,28)*-
c(32,24,20)s(24,24,28)s(32,40,20)-t(40,16,12)-*
t(24,56,12)t(32,32,20)+t(32,32,28)c(48,32,12)-*
c(16,16,12)s(24,40,28)+s(40,32,20)t(40,32,12)--
t(32,40,28)s(32,24,28)t(40,40,20)t(48,40,12)--+
c(32,24,20)s(48,40,20)c(40,40,20)*s(24,8,12)+*
c(24,24,20)s(48,16,20)s(48,24,20)*+c(24,40,20)*
t(48,48,12)s(32,32,20)c(32,32,28)c(40,40,20)-++
t(24,40,20)s(16,24,20)c(40,24,20)c(24,32,20)*--
s(48,16,12)s(32,24,20)c(24,32,20)c(32,24,20)**+
s(32,32,20)c(32,40,20)t(16,40,12)-s(32,48,20)*-
c(24,24,20)s(24,40,20)s(40,32,28)*c(40,16,12)+-
s(32,32,28)s(24,24,28)*c(40,40,20)c(32,24,20)**
c(24,40,20)s(32,40,12)s(40,16,20)s(16,32,12)++*
t(32,40,28)s(32,32,28)c(32,40,20)c(32,24,20)*-*
s(40,24,28)c(40,32,20)t(24,56,12)+t(32,40,20)*+
t(40,24,12)c(24,40,20)+s(16,16,20)t(24,48,20)+*
s(32,32,28)s(24,32,28)s(32,8,12)t(32,32,28)+*-
c(32,32,28)s(32,48,20)*s(16,48,20)s(24,32,28)*-
s(16,16,12)s(32,40,28)+s(24,16,20)*s(48,24,20)+
s(24,24,28)s(24,32,28)*t(48,48,12)t(24,40,28)+*
s(8,40,12)c(48,40,12)s(40,8,12)++s(24,32,20)-
s(40,24,28)c(32,16,12)-t(32,32,20)+s(32,16,20)-
c(24,40,20)s(24,40,12)c(48,24,12)t(16,48,12)++*
c(40,24,12)c(48,32,12)s(24,32,28)s(16,24,20)*++
t(32,40,12)s(32,24,12)t(40,48,20)++t(40,40,12)-
c(40,40,20)c(24,24,20)s(40,16,20)*+t(24,48,20)-
s(32,32,28)t(40,48,20)+s(40,24,28)*s(40,24,20)*
t(40,32,20)t(24,40,12)t(24,16,12)t(32,32,20)+++
t(24,48,28)s(40,32,20)-s(40,24,20)s(32,48,20)+*
s(24,32,28)s(16,16,12)c(40,48,12)+-s(24,24,20)*
t(40,32,12)t(24,24,20)+t(32,56,12)+t(32,40,20)-
s(40,32,28)t(40,40,12)-t(40,32,20)c(32,24,20)*-
s(24,16,20)s(32,16,20)*s(40,32,20)-c(24,32,12)+
s(24,32,28)s(40,32,20)s(40,48,20)--s(24,8,12)+
s(40,24,28)s(24,48,20)-s(16,32,20)s(32,32,20)*-
t(32,16,12)c(32,32,20)s(24,32,28)*s(32,40,20)*+
s(32,40,28)c(40,40,20)*t(32,24,20)t(32,48,20)+*
c(24,24,20)t(40,24,20)c(24,24,20)s(16,24,12)-++
t(24,40,12)c(24,24,20)s(48,40,20)-s(40,32,20)-+
c(16,24,12)s(24,32,28)c(16,24,12)-c(40,24,20)*+
s(24,24,20)s(16,16,20)*s(40,32,28)t(40,48,20)-+
t(24,32,28)t(24,48,20)c(32,24,12)+-s(16,48,12)-
s(8,24,12)s(40,32,20)+t(48,24,12)-s(40,32,20)*
c(32,32,20)s(16,48,20)s(8,8,12)s(24,40,20)++*
t(40,48,20)s(24,24,28)+t(24,32,20)-s(32,24,20)*
s(24,40,28)c(24,32,20)c(32,48,12)-s(16,32,20)*-
s(40,48,20)c(24,32,20)s(24,48,12)-s(48,32,20)-+
c(40,24,20)c(32,24,20)+c(24,24,12)-s(32,32,20)*
s(24,32,28)s(16,40,20)*s(8,16,12)t(24,40,20)+*
s(32,40,20)s(32,24,20)-c(48,24,12)+c(40,32,20)*
s(32,24,28)s(24,48,20)+c(40,24,20)t(32,48,28)+*
c(32,24,12)t(24,32,20)+s(24,16,20)s(16,24,20)--
s(8,16,12)t(32,48,28)+c(24,40,12)c(32,32,12)+-
s(48,40,20)s(48,48,20)+s(16,40,20)t(24,32,28)*+
s(16,24,20)s(32,32,28)t(32,16,12)-t(32,32,28)*-
s(16,24,20)s(48,48,20)s(40,48,20)s(24,48,12)-*+
s(32,24,20)t(32,40,20)+s(24,16,20)*t(16,24,12)+
s(24,32,28)s(48,48,20)-s(48,16,20)s(32,24,28)+*
s(32,32,20)c(32,40,20)+s(16,16,20)-s(48,48,20)-
c(40,40,20)s(24,16,20)s(32,24,20)*s(48,24,20)+*
s(32,48,20)c(32,32,28)s(40,32,20)-c(32,32,20)*+
c(32,32,20)s(40,40,20)c(24,24,12)-t(24,32,28)--
s(24,40,28)c(40,32,20)s(16,40,12)s(40,32,12)+--
t(32,48,28)s(40,40,28)c(32,48,12)s(16,32,20)+*-
s(32,40,28)t(16,48,12)-t(40,56,12)-c(40,40,20)*
c(32,40,20)s(40,40,28)s(16,24,20)-c(32,24,20)*-
s(24,32,28)s(48,40,20)t(32,40,20)s(24,24,20)++*
s(32,40,28)s(48,8,12)+s(32,32,20)s(32,32,12)-*
s(16,24,20)c(32,24,12)-t(40,48,20)+s(40,32,20)-
s(48,16,12)t(40,16,12)t(40,40,20)+s(40,24,12)-+
s(24,40,28)s(32,24,20)s(40,40,28)*-s(24,48,20)*
s(24,32,20)c(32,24,12)-c(40,40,12)+s(32,32,20)*
t(24,32,28)s(24,40,12)c(24,24,20)t(24,40,12)-+*
s(16,48,20)s(16,48,12)t(40,32,20)+-s(32,32,28)+
t(24,40,28)s(40,48,12)c(32,40,12)+s(40,40,20)**
s(32,24,20)t(40,24,12)c(48,16,12)+s(48,40,20)--
s(48,16,20)t(40,40,20)+s(48,48,20)t(24,40,12)+*
s(32,40,20)t(32,32,28)s(48,40,20)-t(40,56,12)+*
t(24,56,12)c(24,24,20)s(40,40,28)-+c(32,48,12)+
s(32,40,28)t(32,48,28)-s(48,32,20)+s(24,24,20)-
s(16,8,12)s(24,48,12)+s(32,16,20)c(40,48,12)+-
c(40,24,20)s(32,24,20)c(32,40,20)**t(24,32,28)+
s(48,16,12)c(16,16,12)s(24,32,20)++t(24,40,12)-
c(32,32,28)s(48,16,20)-s(16,24,20)*t(32,40,28)-
s(48,32,20)t(40,16,12)s(24,8,12)+s(16,32,12)+-
s(16,40,20)s(8,16,12)+t(24,48,28)t(24,24,20)--
c(32,24,20)s(48,32,20)*s(16,40,20)c(40,32,20)-+
s(24,24,28)s(40,24,28)t(40,32,12)--c(24,16,12)-
c(40,24,20)t(32,32,28)c(48,24,12)-*s(8,24,12)+
s(24,48,20)t(24,40,20)c(40,48,12)--s(40,16,20)+
s(24,24,28)s(40,48,12)c(32,16,12)+*c(32,48,12)+
c(24,24,20)c(24,16,12)t(40,32,20)+c(32,24,20)**
t(24,48,20)s(40,40,28)t(48,40,12)s(24,16,20)+-+
s(32,40,28)s(40,32,20)*c(24,32,20)s(48,16,20)+*
c(32,40,12)s(32,16,12)+c(40,24,20)s(8,16,12)+*
s(16,48,20)s(40,32,28)c(48,32,12)-c(32,16,12)-+
s(24,24,20)c(40,32,20)-s(24,48,20)s(16,40,20)*-
s(48,24,20)c(24,32,20)+c(32,48,12)-s(32,24,28)*
c(32,24,12)s(16,40,20)c(24,32,20)s(24,48,20)*-+
s(40,16,20)s(32,16,20)s(16,48,12)+*s(24,32,28)+
s(40,40,20)c(40,32,20)s(48,16,20)*s(32,24,12)+-
s(32,24,20)c(32,40,20)t(24,32,12)c(32,48,12)+-+
s(40,40,12)t(16,48,12)+t(24,32,28)+c(40,32,20)*
s(16,40,20)t(16,32,12)-s(40,40,20)t(32,32,28)*+
s(24,24,20)s(24,32,20)*s(16,16,12)s(32,32,20)+*
t(32,48,20)t(48,16,12)+c(16,24,12)s(40,32,12)++
s(16,48,20)c(40,16,12)+s(48,40,20)c(40,32,20)*+
t(24,48,28)c(24,32,12)s(40,40,28)t(32,40,28)*+*
s(32,16,12)t(32,32,28)t(32,40,20)*+s(32,40,28)*
s(32,16,20)t(32,32,28)*t(24,24,20)c(48,16,12)++
c(24,40,20)s(32,32,20)*s(32,48,20)s(40,48,12)-+
c(48,48,12)c(24,24,20)+s(32,16,20)*s(24,16,20)*
c(40,32,20)c(32,16,12)-s(40,32,28)s(48,24,20)*+
s(24,24,20)t(48,40,12)+s(32,32,28)s(24,16,12)--
s(24,32,20)s(32,40,20)s(16,8,12)+s(48,8,12)+*
t(24,48,28)s(40,40,20)s(8,40,12)+c(40,32,20)++
s(24,48,20)s(24,40,28)t(32,48,28)*+s(40,48,20)*
c(32,40,20)s(40,16,12)+c(32,16,12)+c(24,16,12)-
s(48,16,20)c(48,40,12)t(40,32,12)+t(24,24,20)+-
s(40,40,28)s(32,48,12)-s(48,40,20)s(24,40,20)-*
s(24,24,20)c(32,40,12)-s(32,24,28)s(32,40,20)+*
s(32,32,20)c(48,24,12)+t(24,32,28)t(24,40,28)**
c(48,32,12)t(16,56,12)+t(40,48,12)+c(40,32,20)*
s(32,48,20)c(32,32,28)*s(32,32,20)*t(24,32,20)+
t(32,40,20)t(24,32,28)s(16,24,12)-+s(24,40,20)*
t(24,48,28)c(32,32,12)+s(32,32,28)*t(16,32,12)-
s(40,24,20)s(16,16,20)s(32,24,20)t(24,32,28)*-+
t(40,40,20)t(32,32,28)+t(24,24,12)-s(24,16,20)-
s(40,24,20)c(16,32,12)t(24,24,20)+c(24,40,20)*-
s(8,40,12)s(16,8,12)+s(40,24,28)-s(48,48,12)+
c(24,32,20)s(40,24,20)s(40,48,20)+s(32,32,20)**
c(16,48,12)s(32,24,20)t(24,48,12)++c(40,40,20)*
t(32,32,28)s(24,48,20)s(24,32,28)+s(24,40,20)-+
c(16,40,12)t(24,24,20)+s(40,24,20)c(24,16,12)--
s(24,24,20)s(24,8,12)-s(8,24,12)t(40,40,12)++
c(40,32,20)t(24,40,12)-s(40,32,28)s(32,48,20)-*
s(32,40,20)s(16,40,20)t(48,56,12)+s(24,40,20)*-
t(24,32,28)s(32,32,28)*t(32,24,12)-t(40,32,12)+
s(48,32,12)s(16,24,20)+t(24,32,28)s(40,16,20)-*
c(40,16,12)t(32,56,12)s(40,32,28)t(40,32,20)-++
s(48,24,20)s(8,32,12)+s(24,24,12)+s(24,32,20)*
c(24,16,12)s(16,24,20)+s(24,48,20)s(48,8,12)++
t(16,16,12)s(32,32,20)+c(24,24,20)s(8,48,12)+*
c(40,24,20)s(16,32,20)-s(32,24,28)*c(24,32,20)+
s(40,24,28)s(48,24,12)s(40,40,20)+s(8,8,12)+*
c(40,32,20)s(32,48,12)-c(40,40,20)*t(40,32,12)-
t(24,32,12)s(24,8,12)+c(32,24,20)+c(24,40,12)-
s(48,32,20)s(40,32,28)s(32,32,28)*s(40,24,28)**
s(16,32,20)s(32,32,28)s(32,16,20)*-t(32,40,28)-
t(16,32,12)c(24,16,12)+c(32,40,20)c(32,32,12)--
t(16,40,12)c(48,24,12)+s(32,24,20)s(24,32,12)--
s(32,16,20)c(24,24,20)*c(32,32,28)t(40,32,20)-*
s(24,32,20)t(32,48,28)t(40,32,20)-+s(16,48,20)*
t(24,56,12)c(24,24,12)t(32,40,20)++t(40,48,12)-
c(40,16,12)s(32,32,20)+c(32,48,12)+c(24,32,20)*
t(32,48,28)s(40,32,28)t(24,48,20)--s(32,24,28)+
c(16,24,12)t(32,40,28)s(24,24,28)*c(24,48,12)-+
t(32,24,12)t(40,40,20)+t(32,48,28)t(32,40,28)**
c(32,24,12)s(32,48,12)+t(40,16,12)-t(24,56,12)-
s(24,48,20)c(40,40,20)*s(24,40,28)s(16,24,20)*+
s(24,8,12)c(40,24,12)t(24,48,28)+s(40,40,12)-+
s(24,16,20)s(16,32,20)s(24,48,20)+t(16,40,12)--
s(24,24,28)t(48,56,12)c(16,48,12)+s(8,16,12)+-
c(40,24,20)t(40,24,12)s(8,24,12)+-c(32,16,12)-
s(40,24,20)s(32,40,28)*s(48,16,12)+s(40,40,12)+
s(24,24,28)c(32,24,20)s(24,24,28)*s(24,40,28)+*
c(24,40,20)s(16,48,20)s(24,48,12)--c(24,32,20)*
s(32,16,20)s(16,16,20)s(40,16,20)--t(32,24,12)-
c(24,32,20)s(16,24,20)-t(48,56,12)+c(32,32,28)*
s(40,16,20)c(24,24,12)+s(24,40,28)s(32,32,28)*+
s(16,32,20)c(32,40,20)c(48,40,12)-s(32,32,20)*-
s(32,32,20)t(32,40,20)-c(32,32,20)t(32,16,12)-+
s(32,40,28)t(40,32,20)-t(40,24,20)+s(40,24,28)*
s(48,48,20)s(48,40,20)s(40,24,28)s(32,40,28)*--
s(24,32,20)c(32,24,20)+s(24,16,12)-s(48,32,12)-
t(32,40,28)s(32,24,28)s(16,16,20)c(16,16,12)--*
s(24,24,28)t(40,24,12)-c(24,40,20)*t(32,56,12)+
s(16,16,20)t(24,48,28)+t(32,48,20)-c(32,32,28)*
t(24,32,28)t(48,16,12)t(24,48,28)++s(16,40,12)-
s(24,24,20)s(40,24,28)s(24,24,12)-s(48,32,12)-+
c(16,24,12)s(40,48,20)+s(32,48,20)s(24,24,20)-*
t(48,24,12)t(40,48,12)s(16,40,20)t(16,32,12)-++
s(24,48,20)s(24,48,20)s(16,40,20)*s(40,16,12)+-
t(32,40,20)s(32,48,12)s(48,24,12)+c(32,40,12)-+
t(24,40,20)c(24,40,20)c(32,40,12)-s(16,32,20)+*
c(32,32,20)c(24,24,20)*c(16,40,12)+t(32,48,12)+
c(24,32,20)s(16,40,20)+s(32,40,12)-c(32,24,20)+
s(32,32,20)t(32,32,28)c(16,40,12)-*c(16,16,12)+
s(40,24,28)s(24,24,28)s(24,32,28)s(32,16,12)--*
t(40,40,20)c(24,24,20)t(32,32,28)*+s(24,32,28)*
s(48,8,12)c(40,40,12)+s(24,24,20)s(32,24,20)*-
c(32,40,20)c(40,40,12)s(24,16,12)+-t(16,40,12)-
s(40,32,28)t(32,40,28)+t(32,32,20)s(40,16,12)--
s(40,32,12)t(24,40,20)+t(24,48,28)c(40,48,12)+*
t(24,16,12)t(32,40,20)+c(40,48,12)+s(24,24,20)-
t(32,48,20)s(40,40,28)t(32,32,28)c(48,48,12)-*+
c(16,32,12)c(24,16,12)+c(40,48,12)+t(16,16,12)-
t(24,24,20)t(32,16,12)-s(16,48,20)-t(40,40,12)+
t(16,56,12)c(32,24,20)+c(48,48,12)+s(16,24,20)*
s(32,32,20)s(40,24,28)s(40,32,20)-+s(24,16,20)-
t(24,32,20)c(48,48,12)+s(32,32,28)c(32,40,12)--
c(24,32,20)t(32,40,20)-t(40,40,12)+s(24,40,20)-
t(40,32,20)t(24,48,20)+s(32,32,20)*s(40,48,20)+
c(24,24,20)s(32,32,28)+t(40,32,12)-s(8,8,12)+
s(40,16,20)t(16,32,12)+c(24,48,12)+t(24,32,28)*
s(24,16,12)c(16,24,12)+t(24,16,12)s(24,48,12)+-
c(40,40,20)s(32,40,28)c(32,32,20)*t(24,32,28)+*
s(16,40,12)t(40,32,12)+s(16,16,20)c(24,24,20)++
t(24,40,28)s(16,40,20)*s(48,24,20)s(32,24,28)*+
s(24,24,20)c(48,32,12)s(24,24,28)s(32,32,20)-++
s(24,40,28)c(32,24,20)s(48,16,12)-*s(32,24,12)+
s(24,16,20)c(24,16,12)s(24,48,20)c(32,32,20)*+*
s(40,40,28)s(24,32,28)-s(32,48,20)+s(48,40,20)+
s(40,16,20)s(40,40,28)s(40,48,12)-s(40,32,28)*-
t(32,40,28)s(16,40,20)s(24,24,20)+c(32,32,28)**
s(32,16,12)s(8,32,12)+t(40,16,12)t(40,32,12)++
s(24,40,28)t(40,32,20)-t(32,56,12)-s(40,32,12)+
c(32,32,28)s(24,48,12)c(40,16,12)+-t(48,40,12)-
s(48,24,20)s(48,48,20)-s(24,24,28)s(40,48,20)++
c(32,32,20)c(24,40,12)-s(48,48,12)+c(24,48,12)+
c(32,32,20)t(40,40,12)c(40,24,12)+c(48,32,12)+*
s(40,32,20)c(48,16,12)-s(8,48,12)+c(24,40,20)-
s(48,40,12)s(32,48,20)+t(24,48,28)*s(16,48,20)+
s(48,48,20)t(32,40,20)-t(16,16,12)s(40,32,28)++
s(40,40,20)s(32,24,28)s(48,8,12)-t(32,32,28)**
s(32,40,28)s(16,40,20)c(40,32,20)--t(40,40,20)-
c(32,32,20)s(32,16,12)-t(24,48,12)s(40,32,12)+*
c(32,24,20)s(16,8,12)s(24,40,28)+*t(32,32,28)*
c(32,32,20)s(8,8,12)+s(24,24,28)t(32,32,12)--
t(24,40,28)c(40,24,20)s(24,24,28)*c(24,40,12)-+
t(32,48,28)s(16,16,20)s(32,24,28)s(40,40,28)*-+
c(48,40,12)s(40,40,12)+s(16,48,20)+s(24,24,28)-
s(32,32,12)c(32,48,12)s(32,40,12)++s(48,32,20)-
s(24,40,28)c(24,40,12)c(40,32,12)+s(40,24,20)+*
c(48,24,12)c(32,40,20)+t(32,40,28)c(40,24,20)-*
s(24,16,20)s(40,48,20)s(24,32,28)+*s(40,48,20)+
t(32,48,12)s(40,16,20)c(32,32,20)*+s(48,48,20)-
s(40,40,20)c(40,40,20)c(32,32,20)s(48,24,20)*-*
s(24,48,20)s(40,24,28)s(32,24,28)s(48,24,20)*--
s(32,24,20)t(40,24,20)+s(16,40,20)-s(32,32,20)*
s(40,32,20)c(40,16,12)-c(24,24,20)+t(32,48,28)-
s(32,16,12)s(16,48,20)+t(32,48,12)+s(16,40,20)-
c(24,32,20)s(48,24,20)-c(40,40,12)s(32,32,20)+*
t(40,48,20)s(16,32,20)+t(24,40,28)*c(32,24,12)+
t(24,32,20)c(24,48,12)-c(16,16,12)+t(40,56,12)+
s(32,24,28)c(24,24,20)*s(32,32,20)*t(24,48,20)-
s(48,40,20)t(24,32,28)+s(24,32,28)*t(24,40,28)+
c(32,32,20)t(40,24,12)-s(32,40,28)*s(32,24,28)*
s(32,40,28)s(32,24,28)c(16,32,12)-*s(24,32,28)*
s(40,40,20)c(40,24,20)c(32,16,12)-*s(32,16,20)+
c(32,24,12)c(24,48,12)+s(24,32,28)s(40,40,20)+*
s(24,16,20)s(16,8,12)c(32,24,20)+*s(40,8,12)+
s(48,32,20)s(40,40,28)*t(32,48,20)-c(24,40,20)-
c(48,24,12)s(24,32,12)+s(24,24,28)*s(40,48,20)+
s(40,32,28)c(48,48,12)c(32,16,12)+-s(48,32,12)-
s(32,32,28)s(32,40,20)s(32,16,20)c(32,24,20)+*-
t(48,24,12)s(32,32,20)+s(48,40,12)-s(32,16,20)*
t(24,56,12)c(40,32,20)+t(32,48,28)c(48,24,12)+*
s(48,24,20)s(40,24,28)t(40,32,20)s(16,16,12)+-*
s(24,32,28)c(32,16,12)-s(32,40,28)s(24,24,12)--
s(24,48,20)s(24,24,28)s(40,32,28)t(40,32,12)-*-
c(24,40,20)t(32,24,20)s(48,40,20)-s(40,40,28)+*
t(24,40,28)s(24,40,28)c(24,24,20)*s(48,16,20)--
t(40,40,20)t(32,32,12)c(16,32,12)+s(8,40,12)-+
s(32,32,28)t(32,16,12)-s(24,40,20)t(24,32,20)*-
s(48,32,12)s(32,24,12)+t(32,16,12)t(24,48,12)+-
s(16,48,20)t(48,40,12)+t(32,48,28)t(32,56,12)--
s(24,40,20)s(32,40,28)s(24,32,20)t(32,40,28)*--
t(32,48,20)s(16,40,12)+s(32,48,20)*t(24,40,20)+
c(32,32,28)s(32,24,28)s(16,8,12)s(48,16,20)+*-
s(32,40,28)s(24,32,20)*t(24,40,28)s(24,32,28)**
s(16,40,20)s(24,40,28)c(24,32,20)*s(48,40,20)-*
c(40,40,12)c(16,40,12)+s(40,40,28)*s(8,24,12)+
s(40,16,20)t(32,56,12)+s(32,48,20)s(48,32,20)-+
s(40,32,28)s(32,40,20)*t(32,32,20)t(32,16,12)+*
s(24,48,20)t(32,48,20)-s(8,32,12)+s(16,32,12)-
t(24,32,28)c(24,16,12)-t(24,48,28)+s(40,8,12)+
t(32,32,20)s(32,24,20)s(40,40,20)c(24,24,12)+*+
s(32,24,20)s(24,32,20)s(48,24,20)-s(32,16,12)--
c(24,24,20)s(40,32,28)t(40,56,12)c(24,24,12)++*
t(24,32,20)s(32,32,20)s(24,40,12)-c(48,24,12)-+
s(40,32,28)t(24,32,28)c(40,40,20)*s(8,48,12)+*
t(32,48,20)c(32,32,28)s(40,16,12)-c(40,32,12)-*
t(40,32,12)s(24,16,20)c(24,24,20)*+t(48,32,12)+
c(40,40,20)t(32,48,12)s(48,32,20)+s(32,32,12)-*
s(40,40,12)s(40,32,12)t(24,32,20)s(24,40,20)*++
s(16,32,20)s(16,24,20)s(40,24,12)+*c(32,40,20)+
s(32,40,28)s(40,32,20)s(40,24,20)*-s(40,40,28)*
s(8,8,12)s(24,32,20)c(32,16,12)-s(48,40,20)-+
t(24,40,28)s(24,40,20)*s(16,48,12)-t(24,24,12)-
s(40,32,28)s(32,24,20)t(40,32,12)-*s(32,16,20)*
s(24,40,28)c(40,40,12)c(32,24,20)+s(48,32,12)-*
c(48,16,12)t(32,40,20)c(40,32,20)*+s(32,40,28)*
c(16,16,12)t(32,48,12)+s(24,40,20)t(32,40,28)*-
s(32,32,20)s(32,24,20)*c(24,40,20)*s(24,8,12)+
s(16,32,20)t(16,32,12)-s(24,32,20)c(32,24,12)-+
s(48,40,20)s(24,40,20)-t(32,24,20)s(32,32,20)*-
s(40,48,12)c(24,40,20)t(24,24,20)-+s(40,40,20)-
s(32,40,20)s(24,32,28)s(32,32,28)s(16,16,12)-*+
c(24,32,20)c(48,32,12)+t(24,32,28)*t(24,40,28)*
s(48,32,20)c(40,24,20)*c(24,48,12)+s(32,48,20)*
s(48,40,20)c(24,24,20)-s(48,40,20)s(24,48,20)-*
s(32,40,12)s(8,24,12)+s(24,32,20)c(40,24,20)*-
t(32,32,28)s(24,32,28)*c(32,40,12)-c(24,24,20)*
s(32,24,20)c(32,40,20)-c(32,32,12)+t(24,48,12)+
t(32,32,28)c(32,32,28)s(40,32,28)s(48,48,20)*-*
s(16,40,20)s(8,48,12)-t(24,40,28)*c(32,16,12)+
c(32,24,20)c(32,24,20)s(8,48,12)+s(16,32,20)-*
s(16,40,20)s(16,32,20)*t(32,48,28)c(32,32,28)*-
s(24,24,28)t(16,32,12)c(32,24,12)+s(24,16,12)--
c(32,32,28)s(48,16,12)-t(16,56,12)c(40,40,12)+*
s(48,48,20)s(16,24,20)t(32,40,28)-+s(24,24,20)+
s(48,40,20)s(32,40,28)s(40,32,20)*s(16,8,12)+*
s(32,48,20)t(24,48,28)s(48,8,12)t(16,56,12)+-+
t(32,24,20)s(32,24,20)c(32,32,20)*s(32,48,20)-+
s(24,40,28)c(40,16,12)t(48,24,12)s(16,24,20)++*
s(16,8,12)s(16,24,12)t(40,48,12)++s(40,40,12)-
s(32,48,20)s(32,32,20)+s(8,48,12)+t(40,40,20)-
s(24,16,20)c(40,48,12)t(32,48,12)+s(16,48,20)++
c(48,16,12)s(40,24,12)c(24,32,12)+s(32,32,20)*+
c(24,24,20)s(48,24,20)s(32,24,20)*t(24,32,12)+*
s(40,8,12)c(24,40,20)s(16,48,20)*+s(24,24,20)-
t(24,40,28)s(40,32,28)t(40,32,12)s(48,16,20)+--
c(24,40,12)s(48,48,20)+s(16,32,20)c(40,40,20)+*
s(40,32,20)c(40,40,20)s(24,40,28)*s(48,48,12)+*
s(32,40,28)s(48,32,20)t(32,40,28)c(24,40,20)*+*
t(32,48,28)c(32,32,28)*s(48,48,12)t(16,40,12)+-
t(40,48,12)s(32,32,28)c(16,16,12)-t(32,48,20)-+
s(40,24,20)t(32,48,12)+s(16,32,20)c(24,40,20)*+
s(24,40,20)t(24,48,28)s(40,24,28)+s(24,24,28)**
s(32,32,28)s(32,32,12)-c(48,16,12)-s(40,40,20)*
s(24,24,20)t(32,32,28)s(48,24,20)+c(48,16,12)-*
s(40,32,20)c(32,32,28)s(16,40,20)s(16,32,20)**-
s(24,32,28)s(24,40,12)s(40,24,20)+*s(24,40,28)*
t(24,40,20)c(32,40,20)s(24,40,12)-c(24,24,12)-+
c(40,32,20)s(48,16,20)-s(40,24,28)*t(24,40,12)+
s(48,48,20)c(24,24,20)s(16,24,20)++s(40,16,20)*
s(40,24,28)s(32,24,12)t(40,40,20)+c(40,24,12)+*
s(48,48,20)c(24,40,12)+c(32,24,20)-t(24,48,12)-
s(48,24,20)s(40,24,28)s(16,40,12)+t(32,40,20)-*
s(32,32,28)s(40,40,28)*s(32,32,20)*c(32,48,12)-
c(40,24,20)s(24,8,12)s(8,40,12)s(32,24,20)++*
c(40,40,20)c(40,24,20)s(32,24,28)*-s(24,40,12)+
s(40,24,28)t(32,40,28)*c(24,16,12)-s(48,40,12)+
s(32,32,20)t(24,48,28)s(24,48,12)c(48,40,12)++*
t(40,24,20)s(16,32,20)s(48,24,12)+s(24,24,20)*-
s(24,40,28)s(32,32,20)c(40,32,20)*-t(32,48,12)-
t(32,32,28)s(40,24,28)s(24,24,20)c(40,32,12)--*
s(16,48,20)t(32,48,28)c(32,40,20)*-s(32,24,20)+
s(8,8,12)c(24,32,20)+c(16,48,12)+t(24,32,28)-
c(24,48,12)s(24,24,28)+c(40,24,20)s(40,32,28)+*
s(32,24,28)s(48,24,20)*s(40,32,12)+s(24,32,20)-
s(32,32,28)s(32,48,20)+t(32,48,28)*s(32,24,20)-
s(48,48,20)s(8,16,12)t(40,56,12)+s(40,40,12)+*
s(48,40,12)t(32,48,28)+s(40,24,28)s(40,40,28)+*
c(40,32,20)s(40,40,12)-s(40,32,12)-c(32,40,12)-
s(24,48,20)t(16,56,12)c(48,24,12)+s(32,32,28)+*
s(16,24,20)c(24,24,20)t(24,32,12)-c(24,40,12)-*
s(40,32,28)t(40,16,12)s(8,16,12)+-s(32,24,20)*
c(32,24,20)s(24,40,12)+s(24,32,28)c(32,40,12)-*
s(40,40,28)s(48,48,20)*s(8,32,12)+c(32,40,12)-
c(24,32,20)c(40,40,20)s(40,48,12)--s(40,48,20)-
s(24,32,28)t(48,16,12)c(32,40,12)++c(32,48,12)-
s(32,32,20)s(40,24,20)s(32,24,28)c(40,32,20)**+
s(16,32,20)s(24,32,28)t(16,40,12)-s(32,24,12)-*
s(32,24,20)s(24,24,20)+s(40,8,12)s(24,48,12)++
s(32,16,20)s(40,40,20)s(40,32,20)+s(32,24,12)-+
c(24,32,20)s(24,48,20)*c(32,40,20)t(24,40,28)**
t(24,32,28)s(32,40,28)s(24,40,28)*+s(16,32,20)-
c(32,16,12)s(48,32,20)s(32,24,20)t(32,48,28)+*+
s(24,40,28)t(24,32,28)*c(32,16,12)-s(16,24,12)-
s(24,48,20)c(24,24,20)s(24,40,20)t(48,32,12)+*-
c(24,32,20)t(24,48,12)-t(48,48,12)+s(16,32,20)*
t(32,40,28)c(32,40,12)-t(32,48,12)-s(16,40,12)+
s(40,32,28)t(24,40,28)s(24,32,20)*c(32,24,12)+*
s(24,24,28)s(48,16,20)-c(16,48,12)c(24,32,12)+*
c(24,40,20)c(24,24,20)*c(40,32,20)s(16,40,12)+*
s(40,32,28)t(40,24,20)-s(48,48,20)s(40,32,28)*-
s(16,24,12)t(40,24,20)t(24,48,20)+s(32,40,28)*+
t(24,48,28)t(32,48,28)t(24,40,28)s(24,32,12)---
c(48,40,12)t(32,32,20)+c(40,32,20)*t(24,40,28)+
s(48,32,12)s(32,32,20)s(40,32,20)t(24,24,20)--+
s(48,8,12)s(16,40,12)t(24,48,12)++s(16,8,12)+
s(48,32,20)t(24,40,28)c(24,32,20)t(24,24,12)--+
s(32,24,28)s(32,24,12)-s(40,16,20)*t(24,40,28)+
c(16,32,12)c(24,40,20)s(16,24,12)-s(32,24,20)-+
s(40,40,28)t(32,40,28)*t(40,48,20)+t(32,24,20)-
s(40,24,28)s(24,16,12)t(24,48,28)+t(40,48,20)-+
s(32,8,12)s(16,24,12)t(24,48,28)+t(32,48,28)*+
s(24,32,20)c(40,40,20)c(40,24,20)-t(48,40,12)+-
t(32,48,28)s(24,16,20)+t(24,48,12)-t(32,40,20)*
s(8,8,12)c(24,24,20)s(32,24,20)*s(24,48,12)++
c(24,16,12)t(24,40,20)+c(40,24,20)-t(40,32,12)+
s(24,24,28)s(32,24,28)s(32,40,28)*s(32,48,20)-*
s(16,8,12)c(40,32,20)s(48,24,20)s(48,16,20)+*+
s(8,32,12)c(32,24,20)t(32,40,28)*c(48,24,12)-+
s(40,40,28)c(24,40,12)-s(32,40,28)*c(24,48,12)-
s(40,40,20)s(32,24,12)-c(32,40,12)-s(32,24,20)+
s(16,40,20)t(24,40,28)*s(32,40,28)s(40,32,20)*-
c(24,24,20)s(40,32,28)s(48,16,20)-t(32,40,28)*-
s(24,32,20)c(32,24,20)s(8,32,12)c(32,40,12)++*
c(40,40,20)s(48,24,12)+s(24,40,12)-c(40,32,20)*
s(8,40,12)s(32,16,20)c(48,16,12)t(24,48,20)+-+
c(48,48,12)s(40,48,12)s(24,16,20)++s(40,40,28)+
t(16,48,12)t(32,48,20)+c(48,32,12)+t(24,40,12)-
t(32,40,28)t(32,24,20)c(40,32,20)+c(48,16,12)-*
t(32,40,28)c(24,32,20)s(40,32,12)-*s(32,32,12)+
s(40,40,20)c(32,40,20)s(32,32,20)*t(32,40,12)--
s(40,40,28)s(16,40,20)t(24,40,20)-+s(16,16,20)-
s(32,40,28)c(40,40,20)-s(32,32,20)s(24,24,28)*+
s(40,24,28)s(32,40,28)c(32,24,12)-s(24,24,28)*-
t(48,32,12)s(24,32,20)t(32,48,28)-t(32,24,12)-+
s(32,32,28)s(32,48,12)-t(24,32,28)*s(16,48,12)+
t(32,40,28)s(32,24,28)+t(32,32,28)s(16,16,20)--
s(24,16,20)s(32,24,20)s(32,32,20)t(32,48,12)++*
c(24,32,20)t(32,32,28)t(24,48,28)*-s(16,24,20)*
s(24,24,28)s(24,48,20)-c(40,32,20)s(24,40,20)--
s(32,16,20)s(24,40,12)+t(24,48,28)+c(16,32,12)-
c(16,40,12)s(32,32,20)s(40,24,12)-+s(24,32,20)*
s(32,24,28)t(16,48,12)t(24,24,20)t(32,16,12)-+*
c(32,40,20)s(32,32,28)*c(24,32,20)*s(40,32,12)+
c(32,32,20)s(16,48,20)s(16,32,20)s(24,40,20)*+*
c(32,32,20)c(48,48,12)t(40,48,12)+-t(24,24,20)*
c(32,32,20)t(40,24,12)-s(16,8,12)+s(24,32,28)*
s(24,32,20)c(40,24,12)-c(32,40,20)+s(32,32,12)-
s(40,32,28)c(32,32,12)s(48,16,12)+-c(32,40,20)-
s(40,24,20)s(40,40,28)*t(32,32,28)t(32,48,28)+*
c(24,32,20)s(48,40,20)c(24,24,12)+*s(8,40,12)+
c(40,32,20)t(32,48,12)s(24,40,28)t(32,32,28)*+*
s(16,40,20)t(24,32,28)+s(16,16,20)+s(32,48,20)*
c(40,32,20)s(24,24,12)c(48,40,12)+c(32,32,20)+*
s(24,24,28)s(40,24,28)t(48,32,12)-s(32,32,20)--
s(32,24,20)c(24,48,12)+t(32,40,28)s(24,48,20)**
s(24,48,20)s(32,40,28)c(40,32,20)s(40,40,12)--*
c(24,24,20)c(24,40,20)t(40,16,12)+*s(8,8,12)+
s(24,40,20)c(40,32,20)s(24,16,20)--t(16,56,12)-
c(32,16,12)s(24,24,28)c(40,24,12)-+t(32,48,28)-
c(24,24,20)c(40,32,20)s(40,40,28)s(24,32,20)*--
c(24,32,20)t(24,56,12)s(16,32,12)+-c(40,40,20)*
c(40,32,20)t(32,48,28)+s(24,48,20)*s(40,48,20)*
c(24,40,20)t(24,40,28)s(16,32,20)t(32,24,20)--*
c(32,32,20)t(24,40,28)t(24,32,28)**s(48,32,20)-
s(8,24,12)s(24,40,20)c(40,40,20)*+c(24,40,20)*
s(32,40,20)t(32,24,20)-s(24,16,20)+c(32,24,20)+
s(40,32,28)t(24,48,28)-c(32,32,12)c(40,32,12)+*
c(32,40,20)t(24,48,28)*s(32,48,12)t(16,48,12)+*
t(32,32,28)s(24,40,28)s(24,40,20)s(24,40,12)---
c(48,32,12)s(32,24,20)s(40,40,28)s(48,40,12)--+
s(40,40,20)s(40,16,12)+s(48,48,20)s(48,40,20)+-
c(32,40,20)c(40,40,20)c(32,24,20)s(24,24,20)*-*
c(24,32,20)t(32,24,20)t(40,32,20)+t(40,40,12)-*
c(40,24,20)s(40,40,20)*s(32,40,12)+s(32,32,20)*
c(16,16,12)c(32,24,12)s(16,32,20)s(32,40,28)*++
t(24,32,28)c(32,32,20)*c(32,40,20)*s(24,32,20)*
c(24,32,20)c(32,32,28)s(24,40,28)**t(24,24,12)-
s(32,32,28)s(16,48,20)s(24,32,20)c(32,40,20)*+*
s(32,48,12)c(48,40,12)s(40,48,12)+t(32,24,20)++
s(32,24,20)s(48,40,12)s(16,24,12)+-t(40,16,12)-
t(32,48,28)s(40,32,20)s(8,40,12)+s(40,16,20)-+
s(40,24,28)s(32,16,20)s(16,16,20)--s(32,24,28)+
t(48,56,12)c(48,16,12)+s(48,24,20)c(48,40,12)+*
s(24,40,28)s(48,8,12)+s(32,48,12)c(32,16,12)+-
c(32,32,20)c(40,32,20)s(40,48,20)-s(16,16,20)+-
t(32,40,28)s(32,40,28)s(32,32,28)**c(16,16,12)+
s(24,24,12)s(32,24,28)c(24,32,20)*s(40,24,28)*+
c(32,32,28)s(24,40,28)*t(24,32,12)-c(24,24,20)*
t(40,56,12)t(32,48,20)s(40,24,20)t(40,32,20)*-+
s(40,48,20)c(40,24,20)+t(24,32,28)*c(24,40,20)*
c(40,40,20)s(40,32,20)c(48,48,12)t(24,40,20)+--
t(24,24,20)s(32,40,20)t(32,48,20)+s(32,40,12)-+
s(24,48,20)t(24,48,20)c(40,32,20)+s(24,32,28)*+
s(32,32,28)s(40,16,12)s(40,32,28)c(24,32,20)*+-
s(24,24,28)s(40,16,20)*c(40,32,12)+s(40,40,12)-
s(40,32,28)c(48,24,12)c(32,16,12)+t(48,56,12)+*
s(32,32,12)s(24,24,12)+s(24,48,12)+s(16,32,20)-
t(32,48,28)s(24,40,20)+s(32,32,20)+s(48,48,20)*
s(16,40,20)t(24,24,20)s(16,24,20)*-s(40,32,28)+
c(48,24,12)c(40,32,12)c(32,24,12)+s(48,48,20)-+
t(16,16,12)s(32,40,20)s(24,24,12)-+t(24,48,28)*
s(32,40,20)c(48,40,12)+t(48,56,12)t(40,32,12)+-
c(40,32,12)s(16,24,20)c(32,24,12)-+c(40,24,20)-
c(24,40,20)c(32,40,20)c(32,24,20)t(32,48,12)+**
c(32,32,20)s(40,16,20)t(40,24,20)*-t(32,40,20)*
s(32,48,20)t(32,32,20)t(24,48,20)-t(32,24,20)+-
t(24,32,28)s(24,40,28)t(32,40,28)*+s(24,16,20)*
s(40,24,20)s(40,40,28)*t(32,32,28)s(40,32,20)**
s(16,48,20)t(32,24,20)+c(40,16,12)s(16,32,12)+*
s(32,32,20)s(24,40,12)c(32,32,20)s(48,32,20)*+*
t(32,16,12)c(40,24,12)c(40,40,20)s(32,32,28)*++
c(24,32,20)c(40,24,20)t(40,40,20)-t(24,24,20)+*
s(32,32,28)s(48,24,20)*t(32,32,28)+c(16,24,12)-
c(24,24,20)c(40,40,20)c(16,16,12)+c(48,16,12)+*
c(32,40,20)s(24,40,20)t(16,48,12)-s(40,32,12)-*
c(24,24,20)s(48,32,12)s(24,8,12)+s(40,32,20)+-
c(32,40,20)t(24,16,12)+s(24,24,12)-c(24,32,20)*
s(40,32,28)s(40,24,28)s(16,24,20)+t(48,32,12)-*
s(16,8,12)s(24,40,20)+s(40,24,20)+t(24,32,20)*
s(32,24,28)t(32,40,12)t(48,40,12)+-c(24,40,20)*
s(32,48,20)c(48,16,12)+s(40,48,20)c(24,16,12)+*
s(16,16,20)s(48,48,20)s(40,32,20)s(24,32,12)--+
s(32,24,28)t(24,32,28)c(40,40,12)s(32,48,12)+-*
s(8,24,12)t(32,40,28)+s(32,24,20)c(16,16,12)-*
s(40,40,28)c(40,24,12)-s(16,24,20)+s(32,32,20)*
s(24,40,28)c(32,32,28)*c(24,32,20)*t(16,48,12)-
s(16,40,12)s(40,48,12)+s(48,32,20)s(40,48,20)-+
s(48,24,20)s(48,16,20)s(32,32,28)s(24,16,20)*-*
s(32,48,12)s(24,16,20)+s(48,40,12)s(32,32,12)++
t(24,32,20)c(40,32,12)s(48,40,20)c(40,40,20)*++
s(24,8,12)c(48,32,12)+s(40,40,12)-c(48,24,12)+
s(16,16,20)s(24,16,20)t(32,40,20)+*c(32,40,20)-
s(40,40,20)s(32,32,20)+s(40,32,12)-t(24,32,28)+
s(32,32,20)t(32,48,28)t(40,56,12)t(24,48,20)+*+
s(32,32,28)s(32,24,28)s(24,40,20)-t(24,48,20)++
s(24,48,12)s(40,24,28)c(32,40,20)-c(32,24,20)++
t(32,48,20)t(48,40,12)+s(48,48,20)s(24,40,12)+*
s(24,40,28)s(24,24,20)t(40,24,20)t(24,24,20)+*-
s(40,24,28)c(40,16,12)-s(48,24,12)-t(16,16,12)+
c(48,48,12)s(8,32,12)+t(24,40,12)t(32,40,12)++
s(24,32,28)c(32,24,20)*t(40,40,20)+t(24,48,20)-
s(16,16,12)s(32,32,12)c(48,48,12)++s(48,40,20)*
s(40,48,20)t(32,32,12)+c(40,24,20)-s(16,24,20)+
t(24,32,28)t(32,40,28)c(32,32,20)t(24,40,28)***
t(32,32,20)s(32,40,28)s(32,16,20)s(48,16,20)--*
s(32,48,20)c(32,32,20)s(48,24,20)-+s(16,48,20)*
t(32,48,28)t(24,32,28)s(40,16,20)-s(16,32,12)--
c(16,16,12)s(24,16,20)s(24,32,20)*+s(24,32,28)*
c(40,40,20)t(48,56,12)-c(24,32,20)c(24,32,12)--
s(32,32,28)s(40,32,28)t(24,40,28)-s(48,24,20)**
s(16,40,20)c(24,32,12)+c(16,32,12)-t(32,32,12)-
c(32,16,12)s(8,16,12)+c(48,16,12)+s(24,8,12)-
s(16,32,20)c(32,24,20)*t(16,24,12)+t(16,40,12)-
s(32,40,20)c(32,32,20)s(24,40,28)*s(32,32,20)**
s(32,8,12)s(32,40,28)s(40,48,20)-c(32,24,20)*+
t(32,24,20)c(32,40,20)c(48,40,12)-+s(40,16,20)-
s(32,32,20)s(24,48,12)+s(24,24,28)s(32,40,28)**
c(40,24,20)t(40,16,12)c(32,40,20)+t(24,48,12)--
s(40,32,20)s(40,32,12)t(48,40,12)+t(40,48,12)+*
t(32,40,28)c(32,48,12)c(32,16,12)+t(40,40,20)--
s(32,32,28)t(24,24,12)-t(40,16,12)t(32,40,28)+*
s(40,24,20)s(48,40,20)+c(40,32,20)*s(40,24,20)+
c(24,16,12)c(32,32,28)s(16,40,20)*t(24,56,12)-+
s(48,48,20)s(40,48,20)s(48,16,12)s(32,40,28)+**
s(40,40,20)s(48,40,20)*t(32,40,28)s(32,48,12)-+
s(48,32,20)c(24,24,20)s(24,8,12)c(40,48,12)+--
s(16,32,20)t(24,48,28)t(24,40,28)c(40,32,12)-*-
t(24,32,28)c(32,24,20)t(24,24,12)-s(48,24,20)*-
c(32,40,20)s(24,40,20)c(16,16,12)+*t(32,24,20)-
s(24,48,20)s(24,32,20)*c(24,24,20)+s(16,32,20)+
s(24,40,20)c(24,32,20)t(40,48,20)s(16,48,20)--*
t(40,32,20)s(24,16,20)t(32,48,12)s(24,24,20)+*-
s(48,40,20)t(32,40,12)+t(40,24,20)s(40,40,12)+-
c(40,32,20)c(16,32,12)+s(32,32,28)*s(40,40,20)-
s(32,32,28)c(48,40,12)c(24,24,20)+c(32,16,12)--
t(32,40,28)s(48,40,12)s(40,40,12)++c(32,40,20)*
s(48,48,20)s(32,48,20)s(40,40,20)s(32,32,20)*-+
s(32,24,28)s(32,40,20)s(32,40,28)s(48,32,20)*-+
t(24,32,28)c(16,24,12)t(32,48,28)+s(48,40,20)-*
t(24,32,20)s(40,40,20)s(40,24,20)-+c(16,24,12)-
t(32,40,28)s(32,40,28)t(32,48,28)s(48,32,20)+**
t(48,32,12)c(24,32,20)+s(32,24,20)*s(16,16,20)-
s(24,24,28)s(16,32,20)*s(16,16,20)s(40,48,20)+*
t(32,24,12)s(16,16,20)+s(8,8,12)s(8,40,12)+-
c(48,24,12)c(32,24,20)s(40,40,12)-+c(24,32,12)-
s(40,40,28)s(40,32,28)*s(32,24,20)*c(32,40,20)*
s(16,24,20)s(40,16,20)c(40,32,12)--t(40,16,12)+
t(24,48,28)t(16,16,12)t(24,48,20)+*s(32,16,20)+
c(32,40,20)t(32,48,12)-t(40,32,12)t(32,40,12)+-
c(40,32,20)c(40,32,20)s(16,8,12)+c(24,24,20)*+
s(24,16,20)s(40,40,28)+s(32,40,20)t(16,56,12)+*
s(40,40,28)s(48,48,20)t(32,56,12)-s(40,32,12)+*
s(32,8,12)t(16,48,12)s(40,32,20)s(16,40,20)-++
c(16,48,12)c(40,24,20)+c(24,40,20)*t(24,56,12)-
c(24,24,20)c(16,40,12)+t(48,56,12)+s(32,24,20)*
t(24,32,28)s(48,16,20)t(24,40,20)s(32,40,20)++*
t(40,40,12)s(16,32,20)s(8,24,12)-+s(16,48,20)*
t(24,40,28)s(24,32,28)*t(40,32,20)+s(40,24,20)-
c(24,24,12)c(24,32,20)t(32,32,20)-+s(48,8,12)+
c(32,48,12)s(32,32,20)+t(24,32,28)*c(32,40,12)+
s(40,40,28)c(24,32,20)*s(24,16,20)+s(40,24,28)*
s(24,24,20)c(32,32,20)+c(24,40,20)s(24,48,20)**
c(40,16,12)c(40,40,12)+t(24,24,12)+s(40,48,12)-
s(24,32,28)s(32,24,20)*t(32,40,28)t(40,32,12)--
c(24,24,20)t(16,48,12)c(32,24,12)+s(32,24,20)*-
s(24,24,28)t(24,16,12)t(24,48,20)+s(40,48,12)--
s(16,40,20)s(32,40,28)*s(32,8,12)+s(16,8,12)+
c(40,16,12)s(32,24,12)t(24,32,20)+s(48,40,20)-+
c(32,16,12)c(32,24,20)s(40,32,20)*s(24,32,12)-+
s(48,8,12)c(24,40,20)+s(24,16,20)-s(24,40,20)+
s(32,48,20)s(24,48,12)-s(40,48,20)s(24,40,12)-*
t(48,16,12)t(24,32,28)+s(32,24,28)t(32,40,28)-*
t(32,32,28)s(16,48,12)-s(40,40,28)s(48,24,20)*-
s(32,24,28)s(48,24,12)-s(24,40,28)*c(24,24,12)+
s(24,16,20)c(16,32,12)c(24,16,12)+*s(24,40,12)+
c(24,40,20)t(32,32,20)s(32,48,20)+c(24,32,20)**
s(32,16,12)s(48,48,12)+t(32,48,28)t(40,48,20)*-
t(24,40,28)c(24,24,12)t(24,40,20)+*t(40,48,12)+
t(24,24,12)s(40,48,20)+s(40,32,12)c(32,16,12)+-
s(40,32,20)c(32,24,20)*s(24,24,12)+s(32,40,12)+
s(32,24,28)s(24,16,12)c(32,32,28)t(40,48,20)*+*
s(32,40,28)c(24,24,20)s(16,8,12)+-s(48,48,20)+
s(32,32,28)s(24,48,12)s(24,16,12)t(16,48,12)++*
c(40,48,12)s(48,32,20)s(24,32,20)s(16,24,20)--+
t(32,48,28)s(24,24,28)c(40,32,20)s(32,48,12)-*-
t(32,56,12)c(32,24,20)+c(16,16,12)-c(40,32,12)-
c(24,16,12)t(16,24,12)c(24,24,12)++s(16,16,20)*
s(24,24,20)c(32,40,12)s(24,16,20)+*t(24,16,12)-
s(32,32,20)s(40,24,28)*c(24,24,20)*s(16,40,12)-
s(40,24,12)t(48,40,12)c(40,24,20)s(40,24,12)-++
t(24,48,20)t(24,56,12)s(16,16,12)+-t(24,40,20)+
s(24,24,28)s(32,24,20)c(48,24,12)+*s(32,16,20)*
c(40,32,20)t(40,48,20)s(48,40,20)s(40,48,20)-+*
s(16,32,20)t(40,24,12)s(24,40,20)c(32,32,12)++*
c(40,32,20)t(32,32,28)t(24,32,28)s(16,40,12)-**
s(40,40,28)c(24,32,20)*c(24,40,20)*c(16,48,12)-
c(40,24,12)c(32,24,20)s(24,40,20)*t(40,48,20)++
s(32,40,28)c(40,24,12)t(32,24,20)+*s(40,40,12)+
s(8,40,12)s(32,40,28)c(24,40,12)-t(24,40,28)*+
s(32,32,20)t(24,32,28)*s(32,32,28)s(24,24,28)**
s(40,32,28)c(32,16,12)s(16,32,20)s(16,16,20)-+*
c(32,24,20)t(40,48,20)s(16,48,20)--s(48,32,12)-
s(32,48,20)s(24,24,20)s(8,8,12)c(32,16,12)+--
t(40,40,20)c(16,24,12)+s(32,40,28)s(48,24,20)++
s(24,32,28)c(32,24,20)c(40,24,12)t(24,48,12)+--
s(32,32,12)c(48,16,12)+s(16,40,20)c(32,32,12)++
s(40,24,28)s(24,8,12)-s(8,8,12)+s(40,16,20)*
c(32,32,28)s(32,40,20)c(16,24,12)--s(48,32,20)+
s(24,24,20)c(24,48,12)s(16,24,20)t(40,24,12)++*
c(24,24,20)t(32,40,28)t(40,32,20)+-t(32,40,20)+
s(16,40,20)s(40,8,12)+s(24,16,20)s(24,48,20)+*
s(8,48,12)t(48,48,12)t(48,32,12)++s(48,48,12)+
s(24,32,20)s(40,24,20)s(32,16,20)s(24,24,28)**-
s(32,48,12)c(40,32,20)c(24,32,12)+s(32,48,20)*+
s(40,24,28)s(40,40,28)+s(48,48,20)*s(40,48,12)-
s(40,24,20)s(32,40,20)-c(24,32,12)+t(24,32,20)*
c(24,40,20)c(40,40,20)t(16,56,12)t(32,16,12)++*
t(40,24,20)s(40,16,20)c(40,32,20)*t(40,32,12)+*
c(48,24,12)s(16,16,20)s(24,24,12)-c(16,32,12)++
c(24,32,20)t(24,40,28)s(8,8,12)+s(40,32,28)+*
s(24,40,28)t(40,48,12)s(32,24,20)+*s(24,24,20)+
c(24,32,20)t(32,32,28)+c(24,16,12)-t(24,32,20)*
c(32,32,20)t(32,48,20)c(16,48,12)++s(48,40,20)+
s(16,40,20)c(24,24,20)c(24,32,20)**s(16,24,12)+
s(16,48,20)t(32,48,20)+s(32,48,12)-s(24,48,20)*
s(32,24,28)t(24,32,28)t(40,32,20)t(24,40,20)-+*
s(32,48,20)s(24,32,28)+s(32,40,12)-s(8,48,12)-
t(32,48,28)s(24,32,28)t(32,48,20)+s(24,32,12)-*
s(32,40,28)t(24,40,20)s(24,48,20)*-s(16,32,12)-
c(24,48,12)s(48,8,12)t(32,32,20)++c(32,32,20)+
s(40,24,20)c(48,48,12)s(16,32,12)+c(32,32,28)*+
s(32,24,28)s(32,40,20)t(40,40,12)-c(24,40,12)+*
c(40,24,20)t(48,32,12)-s(32,32,12)-s(16,40,20)+
c(24,40,20)s(8,16,12)+s(40,24,20)-s(32,48,20)*
s(32,24,20)s(48,24,20)c(32,32,28)*s(8,16,12)+*
s(32,32,28)s(16,24,12)-s(24,32,28)s(24,16,20)-*
s(32,48,20)s(40,32,28)s(32,24,28)*c(40,16,12)-+
s(8,8,12)s(40,48,20)t(24,24,20)++t(24,48,28)*
s(24,32,28)s(24,32,12)-t(24,40,28)*c(40,48,12)+
t(24,48,28)s(32,32,28)+c(32,40,20)-s(16,40,20)-
s(24,24,20)c(32,24,12)s(32,24,28)c(24,32,12)-++
c(48,40,12)t(24,24,20)+c(40,32,20)*s(32,32,20)*
s(32,40,20)t(40,48,20)s(40,24,20)--c(40,24,12)-
t(32,32,20)s(48,16,20)c(32,32,20)s(32,24,12)-+*
c(24,24,20)s(48,16,20)s(48,32,12)+c(24,16,12)+*
s(40,32,28)c(40,24,20)*t(32,24,12)-s(24,16,20)-
s(40,40,28)c(40,32,20)c(40,40,12)s(8,8,12)+--
t(32,40,28)s(24,48,20)*t(40,16,12)+s(32,48,20)*
t(32,32,20)t(32,40,28)s(16,48,20)-*t(40,32,12)+
s(40,32,20)c(40,24,20)c(32,32,20)-+t(32,40,28)-
t(32,48,20)s(48,16,20)c(40,32,20)t(32,48,20)+*+
s(16,24,20)c(24,24,20)*t(24,32,28)*s(24,32,20)*
s(24,16,20)c(32,32,28)s(24,48,20)-s(32,32,28)**
c(24,32,20)c(40,24,12)-s(40,40,28)c(48,16,12)+-
c(40,32,12)c(32,24,20)t(32,40,28)s(48,40,20)--+
c(32,24,20)s(48,16,12)-t(40,40,12)s(32,16,12)+-
t(32,32,28)t(24,24,20)+s(32,40,28)*t(40,40,20)+
s(40,16,20)c(40,40,20)c(40,16,12)+s(48,48,20)-*
t(40,48,20)s(24,24,12)c(16,16,12)++s(24,32,28)*
s(32,48,20)c(40,48,12)c(24,40,12)s(8,16,12)++*
s(24,32,20)s(16,32,20)*c(40,24,12)c(32,32,12)+-
s(24,40,28)s(24,40,12)s(8,24,12)+*s(16,32,20)*
s(24,40,20)s(32,32,28)+s(24,32,28)*c(32,32,20)*
c(24,32,20)s(16,16,20)+t(24,24,20)-c(16,40,12)-
s(24,16,20)s(24,48,20)+t(32,56,12)c(24,32,20)++
t(24,32,20)s(24,40,20)*s(32,16,12)+s(24,40,12)-
s(24,32,20)t(32,40,12)-t(24,32,12)s(40,40,12)+-
s(32,40,20)s(40,16,20)c(32,32,20)*+s(16,48,12)-
t(48,32,12)t(24,40,20)s(32,40,20)*+c(24,32,12)-
c(40,32,20)s(40,16,20)+c(40,24,20)c(32,40,20)*-
t(32,32,12)t(40,40,20)s(24,32,12)+t(24,32,12)-+
t(32,40,28)s(40,48,12)-c(32,24,12)-c(48,48,12)+
t(32,40,12)c(16,16,12)s(40,24,12)++c(32,32,20)*
s(24,48,20)s(48,16,12)t(16,48,12)+s(8,16,12)++
s(40,40,12)s(40,48,12)+c(16,24,12)+t(24,32,28)*
c(32,40,20)c(40,32,20)c(24,24,20)c(48,24,12)+**
t(32,32,28)c(32,32,20)*c(40,32,12)c(24,32,12)+*
s(32,48,12)c(32,24,20)+c(40,40,20)t(24,40,28)**
s(48,32,20)t(48,56,12)+t(32,40,28)s(16,40,12)--
s(32,32,28)t(48,56,12)+c(32,40,12)-s(32,16,20)+
t(24,40,28)c(40,24,20)-s(32,40,20)c(24,24,20)-+
s(8,8,12)t(24,48,28)+s(48,32,12)+c(32,32,20)*
t(24,48,20)t(24,40,28)*s(24,24,20)t(32,32,28)*+
s(40,32,20)c(32,32,20)s(40,40,12)s(32,24,20)+**
s(16,16,20)s(48,24,12)s(16,32,12)+s(40,32,12)--
c(32,32,28)t(24,48,28)s(24,40,20)s(40,40,20)*-*
s(40,24,20)c(16,24,12)+s(40,24,20)s(40,32,20)*-
c(32,40,12)s(32,40,28)s(24,32,20)*+s(48,48,20)-
c(24,24,20)s(32,32,28)s(48,24,12)-s(48,16,20)-*
c(40,40,12)c(24,16,12)s(40,40,12)++s(24,24,20)*
s(24,32,28)c(40,32,20)t(24,32,28)*t(24,32,12)+-
s(32,32,28)c(32,24,12)-s(24,8,12)+s(40,24,28)*
t(24,32,20)s(32,32,20)t(32,48,28)+c(24,24,20)**
c(24,40,20)s(16,32,20)c(32,32,28)s(32,24,12)-**
c(24,24,20)c(24,40,12)-s(32,32,28)*s(32,16,20)*
s(32,48,20)t(24,40,28)+t(32,48,28)-t(24,40,12)-
t(24,32,28)t(24,48,20)s(16,48,20)*c(32,40,12)+*
t(32,40,28)s(24,48,20)t(24,40,28)c(24,32,20)***
t(48,40,12)t(32,24,20)t(24,40,28)++t(40,32,20)*
t(32,56,12)s(32,40,20)c(40,40,20)*s(32,32,20)*+
c(32,32,20)c(40,32,20)s(40,24,20)*-t(40,32,12)+
t(24,40,28)t(40,48,20)+s(16,48,20)*s(40,48,20)+
t(40,32,12)t(24,32,28)+c(40,32,20)*t(16,40,12)+
c(40,40,20)s(48,40,20)t(40,32,12)s(8,24,12)+-+
t(24,40,20)s(24,40,28)s(16,16,20)-*s(16,8,12)+
t(24,40,20)s(48,40,12)s(40,24,20)++s(32,24,28)-
c(32,24,20)s(24,40,12)-s(24,24,28)*s(24,24,12)-
s(24,32,20)s(8,16,12)s(32,32,20)+s(40,48,20)+*
c(24,32,20)s(48,40,12)+s(48,32,20)c(32,32,28)**
c(24,24,20)s(24,48,12)c(32,32,20)+*s(24,32,20)*
s(32,40,28)s(40,40,12)-s(48,48,12)-c(32,24,20)*
s(40,8,12)s(48,8,12)c(40,40,12)+t(24,40,20)-+
s(24,40,20)c(16,32,12)t(24,32,20)c(16,40,12)++*
s(48,24,20)c(32,40,20)t(24,48,20)s(40,48,12)+--
s(24,24,28)s(8,24,12)-s(16,24,20)s(16,48,20)-*
s(24,48,20)t(24,32,28)s(40,16,20)-+s(40,32,28)*
s(48,48,20)s(32,40,28)+s(24,24,28)+s(16,48,20)*
c(32,32,20)s(24,24,28)t(32,32,28)*s(40,8,12)+*
s(40,40,20)s(40,24,28)*s(8,48,12)s(40,24,20)++
s(32,32,20)s(24,32,20)s(48,48,20)s(24,40,20)-+*
t(24,56,12)s(32,48,20)c(32,48,12)t(40,24,12)+*+
s(16,24,20)s(48,8,12)s(48,16,12)s(8,40,12)++-
s(40,32,28)t(40,40,20)s(24,32,20)c(32,32,20)+*-
t(48,48,12)s(40,24,28)+t(32,32,20)c(24,24,20)*-
s(48,24,20)t(24,32,12)+c(16,32,12)-t(24,40,28)-
c(40,40,20)s(48,32,20)s(32,40,28)+c(24,24,20)*-
c(32,32,28)s(40,48,20)s(40,32,20)s(48,32,20)*-*
s(40,40,28)s(24,40,20)s(32,8,12)+s(32,48,20)**
s(24,32,20)t(40,16,12)+s(32,32,28)t(32,40,20)--
s(32,32,28)t(32,32,20)-c(40,32,12)c(48,40,12)+-
c(24,24,20)s(32,24,20)*s(24,24,28)c(24,32,20)**
t(32,40,28)c(32,24,12)t(40,48,20)+*s(32,32,20)*
s(40,32,28)s(48,16,20)s(24,32,28)+*c(24,40,20)*
s(24,32,28)t(40,40,20)+s(32,24,28)*s(8,24,12)+
s(40,16,20)c(32,32,28)c(32,40,20)-c(40,40,12)+*
c(24,32,20)s(48,40,20)s(32,32,28)*s(40,32,20)*-
c(24,40,20)c(16,24,12)-s(24,40,20)c(40,48,12)-*
t(24,32,28)c(24,24,20)s(16,32,20)*s(40,16,20)-*
t(40,48,20)c(48,16,12)+s(24,24,28)-s(40,32,20)-
s(24,40,20)c(32,32,20)c(32,32,28)s(48,24,20)*-*
s(40,32,28)s(48,40,12)-s(32,48,20)+t(40,32,20)-
t(24,32,28)s(24,32,20)t(40,32,20)+*s(40,40,28)*
c(40,24,20)t(24,24,20)s(16,40,20)++s(48,48,20)-
c(40,40,20)c(16,40,12)s(16,16,12)+c(32,24,12)+-
s(16,16,12)c(32,16,12)+t(32,32,20)-t(32,32,28)+
s(40,24,28)t(40,48,12)+s(32,32,20)-s(40,32,28)*
s(32,24,28)c(24,32,20)c(16,40,12)t(16,32,12)+-*
s(40,40,28)c(40,32,20)s(8,8,12)t(24,40,20)+-*
s(32,8,12)c(48,24,12)s(40,40,20)+t(24,48,20)-+
s(48,16,20)s(32,16,20)-c(40,32,12)+s(48,24,12)-
s(40,24,28)s(32,24,28)*s(24,24,28)c(24,32,20)**
c(24,24,20)c(32,32,12)t(40,48,20)c(48,24,12)++*
s(48,40,12)s(24,24,28)+s(40,40,12)-s(24,40,28)-
c(40,24,12)t(32,40,20)+t(32,16,12)-s(40,24,12)-
c(32,40,20)s(24,8,12)s(32,40,20)+*s(24,32,28)+
s(24,24,28)s(48,48,20)c(32,16,12)c(48,48,12)+*+
s(24,32,28)s(32,24,28)t(48,32,12)-t(16,24,12)-*
s(32,24,12)s(40,16,12)+s(32,32,28)*t(16,56,12)+
t(32,48,12)s(24,24,28)+s(48,40,12)s(24,16,20)+*
s(48,32,20)s(32,32,28)t(24,40,12)s(40,40,12)+--
c(40,16,12)c(24,32,20)t(16,16,12)-t(32,32,12)-+
s(24,16,20)c(16,48,12)c(24,16,12)+s(32,24,28)**
s(32,16,12)t(32,32,20)c(16,32,12)-+s(48,16,20)-
s(40,16,20)s(48,48,12)s(16,32,12)++t(48,16,12)-
s(24,32,28)s(40,32,28)t(48,16,12)c(24,40,20)+*-
s(48,24,12)s(16,40,20)s(24,32,20)*c(16,32,12)++
c(32,32,20)s(48,32,20)*s(40,24,28)s(24,32,28)*+
c(40,48,12)s(40,40,20)s(32,48,20)t(40,40,20)--+
s(48,32,20)c(24,32,20)+s(48,24,20)-s(24,40,20)*
c(32,24,20)s(32,32,28)+s(40,40,28)t(24,48,28)**
s(32,32,20)s(40,16,20)-c(32,24,20)t(40,24,12)-*
c(24,40,20)t(32,24,20)+c(24,24,20)s(16,48,20)+*
s(8,48,12)s(24,40,20)t(24,40,28)*s(24,32,28)*+
t(24,48,20)c(24,24,20)+c(32,40,20)*s(32,24,20)-
s(16,8,12)c(40,24,20)+s(16,16,20)-s(48,32,20)-
t(32,48,20)c(24,24,20)-s(48,48,12)+s(32,24,20)+
c(16,24,12)t(24,40,12)+s(8,16,12)+t(16,16,12)-
s(40,32,20)s(40,16,12)s(48,32,20)+*s(40,40,12)-
s(16,24,20)s(24,32,28)s(48,40,20)c(24,40,20)+*-
t(32,40,28)s(24,24,28)+s(40,48,20)s(32,40,28)**
s(32,24,20)s(24,48,12)+c(32,16,12)s(40,32,12)+*
s(40,32,28)s(16,24,20)t(48,40,12)+c(40,32,12)--
s(32,32,28)c(40,16,12)-s(32,40,12)-s(16,24,20)-
t(40,32,20)c(24,32,12)-t(16,40,12)t(32,24,20)++
s(24,40,28)s(32,24,28)-s(40,40,20)-t(40,32,12)+
c(32,32,20)c(16,40,12)c(16,48,12)+c(40,24,20)+*
s(40,40,20)s(24,40,12)-c(24,32,12)s(16,24,12)+-
s(48,48,20)t(24,48,28)+s(16,24,12)+t(40,40,12)-
s(32,24,20)s(48,32,20)s(40,48,20)+s(32,32,20)*-
c(24,40,20)c(24,32,12)-s(48,32,20)+c(32,32,28)*
t(24,40,28)s(40,24,28)+c(40,40,20)*c(40,24,20)*
s(48,48,20)s(48,16,20)s(40,32,28)+c(24,16,12)+*
s(40,32,20)t(24,24,20)s(16,24,20)*s(48,40,20)+*
t(24,32,28)t(24,48,28)s(16,40,20)*+s(40,24,28)-
s(24,32,20)c(32,40,20)*s(16,48,20)+c(40,32,20)*
c(24,32,20)c(32,32,28)t(24,48,20)-*s(16,24,20)*
c(32,40,12)s(48,32,20)t(48,24,12)-+t(32,40,12)-
s(32,24,28)s(24,48,20)s(24,40,20)+t(32,40,20)*-
t(24,32,28)c(32,24,20)c(40,32,20)t(40,48,12)-**
s(40,16,20)t(40,56,12)+t(48,24,12)-c(32,24,12)+
s(40,24,28)s(48,16,20)s(40,24,20)+s(24,16,20)-*
s(16,24,12)t(40,32,20)+t(16,16,12)-c(24,32,20)*
c(40,24,20)s(40,24,28)t(32,56,12)+s(32,8,12)-*
s(24,24,20)s(24,40,20)s(16,48,20)*-s(32,40,12)+
s(48,40,12)s(48,48,20)t(32,48,28)-+t(32,40,20)+
c(32,32,28)s(40,16,20)-c(24,16,12)-c(24,32,20)*
t(32,48,20)s(16,48,20)+c(32,24,12)+s(32,40,20)-
s(40,24,28)c(24,40,20)*c(24,24,20)s(24,16,20)+*
s(24,40,28)t(32,24,20)-s(32,40,20)+s(40,40,20)+
c(32,32,28)c(24,32,12)-s(24,16,20)*s(24,40,20)+
t(32,48,20)s(48,16,12)+c(40,24,20)+s(40,16,20)*
s(24,40,20)c(32,24,20)s(32,32,20)*-s(32,16,12)+
c(32,40,20)s(24,40,12)-t(16,40,12)s(32,16,20)+-
s(48,48,12)c(24,40,20)s(40,40,28)s(32,32,28)*-+
s(24,24,20)t(40,32,12)s(24,8,12)s(32,24,12)++*
c(48,40,12)s(24,24,20)+c(16,48,12)s(16,8,12)+-
s(24,24,28)s(16,24,20)s(40,8,12)++t(24,40,20)-
c(40,32,20)t(48,24,12)-c(24,24,20)c(32,24,20)**
c(24,32,20)t(24,48,28)t(32,40,28)c(48,32,12)+*-
t(24,32,28)t(32,40,12)-c(32,32,28)t(32,48,28)-+
c(48,48,12)s(24,40,20)+s(16,32,20)t(16,16,12)-*
s(24,8,12)s(40,40,20)c(40,24,12)s(40,40,12)+*+
s(40,24,28)s(16,40,20)c(32,32,12)+-s(32,32,20)+
t(40,56,12)c(40,32,20)t(24,24,20)-+s(40,16,20)-
s(32,24,20)s(32,32,28)s(32,32,12)-*t(48,32,12)+
s(32,24,28)s(40,32,28)c(24,48,12)+c(32,24,20)*-
s(40,24,12)s(24,32,12)+t(16,56,12)t(48,24,12)+-
t(32,48,28)t(32,40,20)s(40,16,20)--t(16,16,12)+
c(24,40,20)s(8,16,12)c(24,24,20)s(32,32,20)*+*
s(32,48,20)t(16,16,12)c(24,16,12)++s(24,40,20)-
s(32,16,12)s(40,40,28)+t(40,32,20)s(8,8,12)+*
c(24,32,20)t(32,48,28)c(32,40,20)t(40,16,12)+**
s(40,32,20)c(32,40,12)t(24,32,20)+t(32,48,28)+*
t(32,56,12)t(24,32,20)t(24,40,20)++c(32,40,20)*
s(24,40,20)c(40,24,20)-c(48,16,12)t(24,32,12)+-
s(24,32,28)s(8,16,12)-t(24,32,28)-t(40,24,20)+
c(24,24,20)c(24,40,20)c(32,32,20)**s(48,8,12)+
s(24,40,12)t(24,24,20)+c(16,32,12)c(32,24,12)+*
s(8,32,12)s(16,48,20)t(24,48,12)-+s(8,48,12)-
s(48,24,20)t(32,16,12)+s(24,16,12)c(32,32,20)+*
c(32,24,20)s(40,40,28)*s(24,40,12)-c(40,32,12)+
c(48,40,12)s(8,48,12)+s(8,8,12)t(16,48,12)+-
c(24,32,20)t(40,32,20)c(24,32,20)s(32,48,20)*+*
t(24,32,28)t(40,56,12)+c(40,24,12)s(24,40,12)+*
s(32,32,28)t(32,24,20)s(48,40,20)+*t(40,40,20)+
s(32,24,28)s(24,32,20)c(40,40,12)+s(40,32,20)**
s(48,48,20)s(40,40,28)c(24,32,20)s(32,48,20)--*
t(40,48,12)s(48,8,12)c(24,32,20)s(24,40,20)*++
s(40,32,28)s(40,40,12)-c(24,32,20)t(32,32,28)*-
c(24,40,20)s(48,48,20)-s(24,40,20)t(32,40,28)**
s(48,32,20)t(48,16,12)+s(48,48,20)-s(40,8,12)-
c(40,24,20)s(24,40,20)-s(40,40,28)t(24,40,12)-*
c(24,24,12)c(32,32,28)s(24,16,20)*s(16,24,12)-+
s(48,16,12)s(8,8,12)+s(24,48,12)s(8,24,12)++
s(24,32,12)c(16,32,12)+t(48,16,12)+s(24,24,28)*
t(24,40,28)s(32,32,28)*s(48,32,20)+c(24,40,12)-
s(16,24,20)s(16,8,12)+s(32,24,28)+s(40,40,28)*
c(40,32,20)t(24,32,28)s(24,32,20)*c(32,40,20)**
s(16,32,20)t(32,40,28)+s(40,32,12)-s(24,24,28)-
c(32,48,12)s(32,24,12)s(40,32,28)t(32,48,28)*++
s(24,48,20)c(40,24,12)+c(16,24,12)s(16,48,12)+-
s(32,16,20)c(16,40,12)c(48,24,12)c(24,16,12)++*
s(24,40,20)c(24,32,20)s(40,16,20)s(40,40,20)--*
c(32,24,20)s(16,32,12)c(40,40,20)+t(40,32,12)--
t(24,48,28)t(32,48,28)*s(32,40,20)s(32,24,20)*-
s(24,32,28)s(24,24,20)-c(48,40,12)+c(32,24,12)+
c(40,24,20)s(24,24,28)t(32,40,28)*-s(32,24,12)-
s(16,40,20)c(40,40,20)s(16,16,12)s(40,48,20)+*-
c(32,24,20)c(24,32,12)-t(40,32,12)-c(24,24,20)*
c(24,24,20)s(48,40,20)s(24,32,28)-+s(48,48,12)-
s(32,48,12)s(48,24,20)+c(32,16,12)-s(24,48,12)-
s(40,32,20)c(24,48,12)s(32,24,20)+*s(16,24,20)+
t(32,32,28)s(40,32,28)*c(40,40,12)s(8,32,12)+-
t(32,32,20)s(24,32,12)s(40,40,20)c(48,48,12)-+*
s(40,32,28)s(48,48,20)-s(32,40,20)c(24,32,20)+*
s(48,40,20)t(32,40,20)-s(24,48,12)c(40,40,20)++
s(24,32,28)c(16,48,12)-c(40,32,20)*c(48,40,12)-
s(40,24,28)c(48,24,12)s(16,24,12)+s(32,32,12)+*
s(32,40,20)c(16,32,12)-c(16,32,12)+c(24,32,12)-
c(32,32,20)s(32,24,28)s(24,48,20)-*t(48,32,12)-
c(40,40,20)s(40,24,20)t(24,32,28)+s(24,24,28)*-
s(32,32,28)c(24,48,12)-s(40,16,20)s(16,48,20)++
s(24,16,20)s(40,24,28)s(40,32,20)t(24,24,12)+--
c(40,40,20)s(32,24,28)t(16,24,12)-s(32,16,20)--
c(24,40,12)s(40,32,28)s(32,40,28)-+c(40,24,20)-
s(16,48,20)s(48,24,20)s(40,32,12)-t(24,32,12)+-
s(24,24,28)c(40,32,20)t(40,48,12)-s(40,48,20)-*
c(24,32,20)c(32,32,12)-s(16,48,12)-s(16,48,20)-
s(40,32,28)s(24,40,20)-t(24,24,20)s(16,8,12)--
c(24,40,20)t(24,40,28)t(40,48,20)+*s(32,24,20)+
t(48,56,12)c(24,40,20)+t(24,48,28)-s(16,16,20)-
t(32,48,28)s(16,40,12)s(24,16,12)+s(48,8,12)++
t(48,48,12)c(16,40,12)+c(32,24,20)t(48,32,12)-+
s(48,32,20)s(40,32,28)s(16,40,20)-c(40,24,12)-+
t(16,32,12)t(24,32,20)+t(24,40,12)-s(48,32,20)-
t(32,24,20)s(24,24,20)+s(40,32,28)*s(24,40,12)-
s(40,32,28)t(16,40,12)+s(40,40,20)-s(16,24,20)-
t(32,32,20)t(40,48,12)s(24,24,28)t(40,32,12)-++
t(32,24,20)s(24,16,20)+s(40,16,12)-c(24,24,20)*
c(24,32,20)s(40,24,28)c(48,32,12)-*s(24,40,28)*
t(24,48,28)s(32,16,20)c(24,40,12)+s(48,16,12)-*
s(32,16,20)s(24,24,28)c(32,40,20)s(24,40,20)--*
s(32,24,20)s(16,24,20)+c(24,40,20)s(32,40,28)**
s(32,32,28)t(32,32,20)-s(16,24,20)-s(16,16,12)+
s(32,32,28)s(16,48,20)-s(32,32,28)s(24,24,28)**
s(48,8,12)s(40,32,20)c(40,16,12)-s(32,40,20)*+
s(32,32,28)s(40,24,20)t(24,48,20)t(32,48,28)*+*
s(8,16,12)s(40,32,20)t(32,16,12)-+c(40,32,20)*
t(32,48,28)c(24,40,12)-s(24,16,20)+s(24,48,20)-
c(32,24,20)c(16,16,12)c(16,40,12)t(24,40,12)++*
c(24,32,12)c(40,16,12)+s(40,32,28)*s(16,40,20)-
t(24,32,28)t(24,40,28)t(32,48,28)c(32,32,28)**-
s(32,40,20)t(40,24,20)+c(32,24,20)c(24,24,20)*+
c(24,24,20)t(32,32,20)t(32,40,12)-t(40,48,12)+-
s(24,24,28)s(24,32,28)s(32,40,28)*s(24,32,20)*-
s(24,24,28)t(24,48,28)-s(16,32,20)+c(32,40,20)+
t(40,48,20)s(48,32,20)s(16,32,12)c(48,32,12)+-+
s(16,24,20)s(32,24,12)-s(16,24,20)s(24,40,12)-*
s(8,16,12)c(32,24,20)c(24,16,12)-+s(32,40,20)*
t(24,32,28)c(24,40,20)*s(32,48,20)s(40,32,20)+*
s(24,40,20)c(24,32,20)s(16,48,12)-*s(48,40,20)-
s(16,40,20)c(40,24,20)+s(32,24,20)*s(32,48,20)-
s(40,40,20)t(32,40,28)s(40,48,12)-+t(24,32,20)-
c(40,24,20)c(32,40,12)+s(24,32,28)*s(40,16,12)-
s(24,24,20)s(48,8,12)+s(16,40,20)c(32,24,12)+-
c(16,40,12)s(48,48,12)+t(48,56,12)s(16,24,12)++
c(16,48,12)c(48,48,12)+s(48,32,12)+c(32,32,20)-
s(48,16,12)s(32,40,28)t(16,48,12)-s(24,40,28)*+
s(48,24,20)s(48,16,20)s(48,40,20)+s(48,16,12)-*
c(40,48,12)s(24,16,20)s(24,24,20)*+c(40,32,12)-
c(24,48,12)s(40,32,20)c(48,48,12)+t(24,48,28)-+
c(32,40,20)s(40,32,12)s(16,8,12)+t(24,56,12)++
s(40,24,20)c(40,32,20)*s(32,32,20)+s(32,40,28)*
c(32,32,20)t(32,48,28)t(40,40,12)-t(16,24,12)+*
t(24,48,20)c(24,24,12)+t(32,32,28)+c(40,24,20)*
s(24,24,12)s(40,24,28)t(24,40,28)-s(24,24,28)-+
t(32,40,20)s(16,48,20)s(32,48,12)c(40,48,12)++*
t(24,48,28)c(24,40,20)c(16,40,12)-c(40,24,12)-*
t(40,32,20)s(32,32,20)t(32,48,20)-+s(24,16,12)-
c(32,32,20)t(40,16,12)-c(16,40,12)s(8,40,12)+-
s(40,24,28)s(24,40,28)s(40,40,28)**c(40,48,12)-
s(16,32,12)s(48,48,20)+t(24,40,28)-s(32,32,12)+
t(32,48,28)t(32,40,28)c(40,32,12)-c(24,24,12)-*
c(16,48,12)s(48,24,20)+t(24,32,20)s(48,32,20)++
c(32,40,20)s(16,40,20)t(24,24,20)+*s(32,48,12)-
c(40,40,20)s(40,16,20)-s(16,32,20)t(48,40,12)+-
s(40,48,20)t(40,40,20)+s(32,32,20)+t(32,48,28)*
c(40,40,20)s(32,32,28)t(24,48,20)c(32,40,12)+**
s(24,40,28)t(40,32,20)s(32,16,12)--t(24,40,28)*
c(32,24,20)c(40,32,20)c(32,16,12)-*s(24,48,12)+
s(16,48,12)s(48,48,20)t(24,48,20)+t(40,40,20)-+
t(24,48,12)c(24,24,20)t(24,32,20)-s(8,24,12)-+
c(32,40,20)s(16,32,12)+t(24,40,12)-t(32,16,12)+
c(32,40,20)s(48,32,20)c(40,24,20)*-t(24,48,20)*
s(40,24,28)c(40,32,20)s(16,48,20)s(32,32,20)-+-
t(32,32,28)s(32,24,28)t(24,40,28)*s(24,16,12)--
s(40,24,28)s(48,24,20)c(48,16,12)s(24,48,12)++-
c(40,40,12)s(24,40,20)+s(24,32,20)s(8,24,12)--
s(24,32,20)t(32,32,28)+t(16,40,12)-c(24,24,20)*
c(24,32,20)s(16,48,20)-s(16,24,12)-t(32,48,28)+
s(40,16,12)t(48,56,12)+c(24,32,20)c(16,48,12)+-
s(40,40,28)s(48,16,20)c(32,40,20)+c(40,32,20)**
t(32,32,28)c(40,24,20)s(40,40,20)*-s(24,24,28)*
t(24,48,28)t(24,32,28)s(24,40,20)t(24,48,28)**-
c(24,40,20)s(40,16,20)s(40,40,28)+*t(48,56,12)+
s(40,40,20)s(24,40,20)-s(40,40,12)+t(40,24,20)-
s(8,16,12)t(48,48,12)+c(24,24,20)s(24,40,28)*-
c(32,48,12)c(48,16,12)+c(16,40,12)+c(48,32,12)+
s(40,24,28)s(40,32,28)*c(16,24,12)-t(32,40,28)*
s(48,32,20)s(32,40,20)+s(32,32,20)s(48,24,12)--
c(48,16,12)s(24,24,12)+s(24,40,20)s(32,24,28)+*
t(24,40,12)s(24,24,20)+c(24,40,20)s(32,24,12)--
s(24,48,20)t(48,32,12)+c(48,24,12)+s(16,32,20)-
t(32,48,20)s(24,48,12)t(40,24,20)s(40,48,20)-++
t(24,32,28)s(40,32,28)s(40,48,20)s(32,48,20)*--
s(24,40,28)t(32,56,12)c(48,40,12)s(8,40,12)++*
s(24,32,28)t(48,32,12)s(24,32,12)+s(48,32,20)+-
s(16,24,20)t(48,24,12)+s(16,16,12)-s(32,8,12)+
s(40,24,12)c(40,40,20)s(16,32,20)-t(24,40,28)-+
s(24,16,20)t(24,40,12)c(48,24,12)+s(24,40,20)++
s(32,24,20)c(40,32,12)+s(24,24,28)t(24,48,28)-*
s(24,32,20)t(24,48,28)+c(40,40,20)*s(24,48,20)*
s(24,40,28)s(8,24,12)-c(40,32,20)c(16,40,12)+*
t(24,48,28)t(32,40,28)s(40,24,28)*c(32,40,12)+-
s(16,16,20)c(24,32,12)-c(24,32,20)+s(32,16,12)-
t(32,32,28)s(48,24,20)-c(32,16,12)-t(32,40,28)*
s(32,40,20)c(40,24,20)c(32,32,20)*s(40,32,20)*+
s(24,32,20)s(40,32,28)s(40,40,28)t(16,24,12)++*
t(32,48,12)s(48,32,20)s(32,32,20)++t(24,32,20)*
s(40,40,28)t(32,56,12)c(24,32,20)+s(32,24,20)*-
s(24,16,20)t(24,32,20)s(24,24,20)*s(16,32,12)+-
t(48,32,12)t(24,24,20)+t(16,16,12)+c(16,24,12)-
t(40,32,20)c(16,32,12)s(40,32,28)c(24,40,20)*++
c(32,24,20)t(40,16,12)c(48,24,12)+-t(40,32,12)-
s(32,24,28)c(40,24,20)*t(32,24,20)-c(48,48,12)-
c(40,40,20)s(40,24,28)-c(40,24,12)+c(24,32,20)-
t(32,48,20)t(24,32,20)s(32,40,28)c(32,24,20)**-
c(24,40,20)c(24,40,12)s(40,40,20)+*s(32,32,20)*
s(40,48,12)t(40,32,20)c(40,48,12)-+s(40,16,20)-
c(24,32,12)s(48,16,20)s(48,24,20)*+t(32,24,12)-
t(40,32,12)t(24,48,28)+t(32,40,28)s(24,32,20)--
s(32,40,20)s(32,32,28)s(32,24,12)-*s(24,40,20)+
s(48,24,20)c(40,32,20)*c(32,40,20)t(32,24,20)--
t(32,32,20)t(48,16,12)s(24,32,28)+t(40,16,12)-*
c(32,24,12)t(24,40,12)+c(40,32,12)-c(16,40,12)+
t(32,40,28)c(24,32,20)+s(32,16,20)s(24,24,20)*-
s(48,16,20)s(32,40,28)s(24,32,28)+s(32,16,20)+-
s(16,40,20)s(24,40,12)t(24,16,12)+s(8,24,12)+*
c(40,40,12)c(32,32,12)c(32,32,28)s(16,24,20)*++
t(40,48,20)t(32,24,20)c(48,16,12)++s(40,48,20)*
c(48,48,12)s(32,48,20)+s(24,48,12)-t(24,48,28)-
s(32,24,28)s(24,24,12)-c(32,32,28)t(24,48,28)-*
s(48,32,12)s(32,16,20)s(32,32,28)s(40,40,20)--+
s(32,40,12)s(48,16,20)+c(32,32,28)*s(16,40,20)-
s(40,48,20)t(24,48,28)t(16,40,12)s(48,32,12)+-*
s(48,16,20)t(32,32,20)+t(24,16,12)+s(24,40,28)*
c(16,24,12)s(32,24,12)t(24,32,12)++s(24,48,20)-
t(32,32,28)s(16,32,20)s(16,48,20)s(24,48,20)*+*
t(32,48,20)s(32,24,20)+s(48,24,12)s(32,24,12)+*
t(32,32,28)c(24,40,12)s(40,16,20)s(40,24,20)++*
c(24,24,20)t(24,32,28)s(40,40,12)-*s(32,32,28)*
s(32,40,12)s(40,40,28)c(32,40,20)*t(24,48,28)*+
s(24,40,20)s(32,48,20)t(24,40,12)s(32,48,12)+--
t(32,32,28)t(24,40,28)*c(24,24,20)t(32,32,28)*+
t(40,48,12)t(16,24,12)+s(24,40,20)s(32,32,28)*+
c(24,32,20)c(32,32,12)t(16,16,12)+c(48,16,12)+*
s(48,40,20)c(40,40,12)t(40,56,12)s(16,32,20)++*
s(32,40,28)s(24,40,12)c(24,24,12)s(48,8,12)++*
s(32,32,28)c(24,40,20)c(32,24,20)*c(16,16,12)--
s(32,24,28)s(32,32,28)s(40,32,20)--s(32,32,28)*
s(24,48,20)s(40,40,28)t(32,48,20)-c(16,48,12)+*
c(32,24,12)c(24,40,12)+c(32,24,20)*c(16,16,12)+
s(24,48,12)s(48,40,12)+s(16,16,20)t(48,40,12)+-
c(24,24,20)s(16,32,20)-c(16,48,12)+t(40,24,12)-
s(40,32,28)s(16,40,20)-s(32,24,28)s(32,8,12)-*
s(16,16,20)c(24,32,20)-t(24,24,20)t(48,40,12)++
s(32,32,20)s(32,40,28)s(48,40,20)*s(40,16,20)--
s(24,32,12)s(32,24,28)c(24,32,20)*s(40,32,20)-+
s(24,16,20)t(24,32,28)*t(40,24,12)c(24,32,12)++
s(24,40,20)s(48,40,12)+t(24,32,28)*s(24,24,28)*
s(40,32,28)c(32,32,20)t(24,48,12)c(40,40,12)+-*
t(24,56,12)s(16,24,12)s(48,32,20)++c(24,32,20)-
s(40,40,28)s(32,48,20)*c(48,32,12)t(24,32,28)++
t(32,32,28)s(16,32,20)s(32,32,12)--c(48,32,12)-
s(24,40,28)s(32,32,20)t(24,32,12)-t(32,40,28)**
s(16,24,20)s(24,16,20)s(40,40,28)t(40,32,12)---
s(40,40,12)t(48,16,12)+c(24,32,12)s(24,40,12)+-
s(24,40,28)t(32,32,28)s(32,40,28)*c(48,24,12)-*
c(32,32,20)t(24,48,28)s(24,40,20)*t(24,48,20)*-
s(32,24,20)s(32,32,20)*t(32,32,28)s(40,48,20)-*
c(32,40,20)c(24,40,20)s(32,40,28)*s(40,24,28)--
c(32,32,20)s(16,32,12)s(32,24,20)+s(24,40,28)**
s(32,40,28)t(40,32,20)c(24,32,12)-s(24,24,28)+*
s(24,32,28)s(32,16,20)-c(32,40,20)s(40,32,20)*-
s(24,40,28)c(16,40,12)c(40,24,20)+s(48,32,20)-*
s(40,16,20)s(24,40,12)t(24,40,12)c(24,16,12)++-
c(24,24,20)t(32,32,28)t(16,24,12)+*t(24,40,28)*
c(24,40,20)s(16,16,12)+s(24,32,20)s(24,24,20)+-
s(16,40,20)s(24,40,20)t(32,40,28)*t(16,56,12)+-
s(40,24,20)t(24,40,12)s(16,48,12)c(40,16,12)++*
s(24,32,28)s(32,40,28)s(16,40,20)*-c(32,24,12)-
t(32,32,28)s(32,48,12)-s(24,24,12)t(32,56,12)++
c(40,24,12)c(32,40,12)s(16,8,12)+t(48,24,12)++
s(24,48,20)c(48,24,12)+s(32,32,28)c(40,32,12)-*
s(32,16,20)s(24,48,12)s(32,32,20)+*s(48,48,20)+
s(40,32,20)s(40,40,20)*t(24,48,20)s(32,32,20)+*
c(24,32,20)s(40,24,20)s(32,8,12)-s(24,40,20)--
s(16,16,20)t(32,32,28)t(32,48,20)-s(32,40,28)*-
c(24,40,20)s(40,48,20)-s(32,24,12)-s(24,32,12)-
t(40,40,12)c(48,24,12)c(32,40,12)+c(48,40,12)-+
s(32,32,28)t(32,40,28)c(48,32,12)-*c(16,40,12)-
t(32,48,28)s(48,8,12)+c(32,24,20)s(48,32,20)*-
s(24,16,20)s(24,24,28)s(32,16,20)*t(24,40,20)-+
t(32,40,28)s(24,32,28)t(24,40,28)**t(40,24,20)-
s(48,24,20)c(40,24,20)*t(48,56,12)+c(32,24,20)-
s(48,16,20)c(48,40,12)c(48,24,12)t(40,32,20)++*
c(24,48,12)s(24,24,20)s(16,16,20)s(32,16,12)--+
s(40,40,28)t(24,48,12)-s(32,32,28)-t(40,24,20)+
s(40,24,20)c(40,40,20)t(40,56,12)-+c(16,32,12)+
s(32,48,20)c(32,32,20)*s(24,32,20)s(32,40,20)*+
c(24,16,12)c(48,24,12)+t(24,40,28)c(48,48,12)--
s(24,32,28)t(24,24,20)t(32,24,20)+*c(32,32,12)+
s(16,40,12)s(40,24,20)s(40,16,12)s(24,32,12)+-+
s(16,16,20)c(32,48,12)s(24,24,20)+*t(24,32,12)+
s(40,32,20)t(24,48,12)t(24,40,12)++c(32,24,20)*
s(24,32,28)t(32,40,12)-s(24,16,20)c(32,32,28)**
t(24,48,20)c(24,32,20)s(32,48,12)-+s(32,16,20)-
s(24,48,20)c(32,40,12)-s(24,40,20)c(24,48,12)--
s(24,24,12)s(32,40,28)c(40,40,20)c(24,48,12)-*+
t(32,32,28)c(32,32,20)t(32,24,12)-+t(24,48,20)-
t(32,40,28)s(24,16,12)t(32,48,12)+s(24,40,20)+*
t(32,48,20)c(24,40,20)*s(40,16,20)+t(40,24,20)*
c(32,40,12)c(40,48,12)+c(24,40,20)s(32,24,28)*+
s(24,48,20)t(32,56,12)c(32,32,12)+t(24,48,20)+*
s(24,24,12)s(40,16,20)c(48,24,12)s(24,16,12)+*+
s(40,48,20)s(24,16,20)+c(32,16,12)-s(40,32,12)-
s(32,32,28)s(24,40,28)s(16,16,20)+*s(40,32,28)+
s(40,32,28)c(24,48,12)s(40,16,12)+t(40,24,12)+*
c(32,32,20)c(24,40,20)*c(24,24,20)t(40,32,12)-*
s(24,32,28)t(32,40,20)-c(32,32,12)-c(16,16,12)-
s(24,40,20)s(32,48,12)c(24,24,12)s(32,16,12)+++
s(40,32,28)t(32,24,20)-s(32,40,20)s(40,32,28)*+
s(32,8,12)s(32,40,12)t(16,40,12)++c(16,40,12)+
s(24,40,20)s(32,16,20)-s(16,40,20)t(32,48,20)-+
s(40,8,12)c(40,40,20)t(32,32,20)-+s(40,24,28)*
s(16,40,20)c(16,40,12)c(48,24,12)+t(32,48,28)--
s(24,32,20)s(40,24,20)t(24,24,12)--s(32,24,12)-
s(16,32,20)s(24,24,28)*s(32,40,28)+c(40,32,20)+
t(32,24,20)s(16,8,12)+c(32,24,12)s(48,40,20)+*
s(48,16,20)c(16,32,12)+c(16,32,12)c(16,24,12)+*
t(40,32,20)t(16,16,12)+t(48,16,12)s(48,40,12)+-
c(32,40,20)t(24,48,28)*c(40,40,20)+s(32,24,20)-
t(40,24,20)t(24,40,20)+s(32,24,28)s(24,40,20)**
t(32,48,28)c(16,16,12)t(32,32,28)s(24,32,28)*+*
s(24,48,12)c(24,24,20)+s(24,24,28)t(32,40,20)-*
s(32,32,20)t(32,16,12)+s(40,24,20)s(32,24,20)*-
s(32,24,28)c(48,16,12)s(24,16,12)+c(16,24,12)-*
s(48,40,12)s(32,32,20)+c(16,48,12)+s(40,48,20)*
c(24,48,12)t(24,48,28)c(16,24,12)t(32,32,28)+-+
s(16,32,12)t(24,56,12)s(48,32,12)+t(24,48,28)++
c(24,40,20)c(32,32,20)*t(24,40,12)-t(32,32,28)*
s(16,40,12)s(40,24,28)s(48,16,20)*c(32,24,20)*+
c(32,24,20)t(24,32,28)c(32,24,20)*s(40,16,20)--
s(40,48,20)t(24,40,20)c(40,24,20)+s(48,8,12)--
c(24,32,20)s(40,40,12)s(8,16,12)+-c(16,48,12)-
t(32,32,28)t(48,48,12)t(32,48,20)+-s(32,40,28)*
s(16,48,12)c(32,32,28)s(48,16,20)*+s(40,8,12)+
s(32,40,20)t(40,48,20)+c(24,24,12)-c(16,48,12)-
t(32,32,28)t(24,24,20)s(40,48,20)+c(48,40,12)-*
s(48,40,20)t(24,16,12)+s(40,40,28)t(32,40,20)-*
c(40,40,20)t(32,40,28)*t(32,40,28)s(32,24,28)--
s(40,8,12)t(24,40,28)+s(32,24,28)*t(32,16,12)-
c(40,32,20)t(24,24,20)c(32,32,20)*-t(24,32,20)+
c(24,32,20)s(24,48,12)-s(32,24,28)s(48,48,12)+*
t(32,40,28)c(40,32,12)s(24,48,20)+c(40,32,20)**
s(48,32,20)s(48,48,20)s(48,48,12)--t(24,24,12)+
c(24,32,20)s(32,24,28)*s(32,24,12)-s(32,40,28)*
t(32,16,12)s(8,16,12)+s(32,16,20)+c(24,32,20)*
s(32,32,20)s(32,40,20)c(24,32,20)+c(32,40,20)**
c(32,32,28)s(16,40,12)-s(40,40,28)c(24,40,20)*-
c(40,40,20)s(32,32,20)t(16,56,12)+-s(32,40,28)*
c(24,48,12)s(8,40,12)c(48,48,12)t(48,40,12)+++
s(24,32,20)c(40,24,12)-s(40,24,20)s(32,24,20)*+
s(32,40,20)s(32,48,20)s(16,48,12)-s(48,40,20)--
s(32,32,20)c(24,24,12)+c(24,24,12)-s(48,16,20)-
s(40,16,20)s(48,24,20)+s(32,24,28)c(48,32,12)-+
c(40,16,12)c(40,32,20)c(32,40,20)-+t(32,32,20)+
s(24,32,28)c(48,16,12)c(40,16,12)+-s(24,32,20)-
c(24,32,12)t(40,40,20)c(48,24,12)-+c(32,24,20)*
s(24,32,28)s(48,40,12)s(24,24,20)+s(24,8,12)--
c(32,24,20)t(24,40,28)c(32,16,12)+t(32,48,28)+*
s(40,40,20)s(48,32,20)c(32,40,20)c(40,32,20)**-
t(24,32,28)s(24,32,28)s(32,40,28)s(16,40,20)-*-
c(24,32,20)t(16,32,12)s(48,8,12)+s(24,40,12)+*
t(24,24,20)s(40,48,20)s(40,32,20)-+c(40,32,20)+
s(32,48,20)c(40,24,20)c(40,32,20)*+s(24,16,20)-
s(40,32,28)s(40,24,28)t(40,24,12)s(16,16,12)+++
s(40,8,12)t(24,48,28)c(32,32,28)*t(40,24,12)++
t(24,40,20)s(48,40,20)-t(24,48,12)s(24,24,28)+*
c(32,32,28)c(24,16,12)-c(32,32,20)s(40,24,28)**
c(40,40,20)t(48,24,12)-c(40,32,12)s(24,40,20)++
t(40,40,20)s(32,48,20)+c(24,32,12)+s(40,16,20)-
s(16,16,20)s(24,32,28)s(24,48,20)t(24,48,28)**+
c(32,32,28)s(24,24,28)*c(32,32,20)s(24,32,28)*-
c(40,40,20)c(16,32,12)s(32,48,20)+s(40,48,20)**
t(24,56,12)s(40,40,12)+c(40,24,20)+s(40,32,28)+
s(24,24,28)t(40,24,12)t(48,40,12)+s(8,48,12)+-
t(32,40,28)s(40,24,28)c(24,16,12)s(16,48,20)++*
s(32,24,20)c(24,32,20)*t(24,40,12)+s(24,32,20)*
c(32,24,20)t(48,48,12)s(24,24,12)s(40,24,12)++*
s(40,24,28)c(40,40,20)s(48,48,20)c(24,24,12)+**
t(32,40,28)t(16,24,12)t(32,32,28)+s(32,16,20)-*
t(32,40,28)s(32,32,28)t(32,40,12)-c(32,32,20)**
s(32,16,12)t(24,48,28)s(40,24,12)++s(24,24,20)*
s(8,24,12)t(24,24,12)+t(32,24,12)t(40,32,12)+-
s(24,24,28)c(24,40,20)c(40,40,20)*+s(24,48,20)*
t(40,32,20)s(24,16,12)+t(32,48,28)+t(32,40,20)-
s(48,16,20)s(16,40,12)c(40,32,20)+t(40,40,20)--
s(32,48,12)t(48,40,12)s(40,16,12)++s(32,24,28)*
s(16,16,20)s(24,16,20)c(40,24,20)+s(16,40,12)++
c(32,24,12)c(24,16,12)+c(32,24,12)c(16,40,12)+*
c(40,24,20)t(40,56,12)t(24,24,12)+s(24,48,12)+-
s(32,32,28)c(40,32,20)*t(24,32,28)*s(32,24,28)*
s(32,32,28)t(32,40,28)c(40,48,12)-c(24,48,12)+-
t(40,32,20)s(32,24,12)+s(24,40,12)+t(24,48,12)-
s(24,24,20)t(40,48,20)t(32,40,12)+s(32,24,20)+*
s(24,40,20)t(32,24,12)-s(16,40,20)*s(24,32,20)*
s(40,24,20)s(40,32,28)t(40,40,20)-c(40,24,20)**
s(24,24,20)c(32,32,28)s(48,32,20)*s(8,16,12)+-
s(24,24,28)s(32,32,28)c(24,32,12)-s(40,32,12)--
s(48,48,20)c(32,32,12)-t(40,32,20)t(24,24,12)+-
s(24,40,28)s(40,32,28)c(48,24,12)-*c(40,32,20)*
c(32,48,12)s(32,8,12)+s(48,48,12)+s(48,48,20)+
s(24,32,12)t(24,48,28)s(40,32,28)-+s(16,40,20)+
t(32,48,28)t(48,56,12)t(32,16,12)++c(32,32,20)*
s(48,40,20)t(24,48,28)s(48,40,20)c(40,48,12)-+*
s(32,32,28)s(16,40,20)+t(32,48,28)*s(24,40,20)*
t(24,24,20)c(48,16,12)s(24,32,20)+c(40,32,20)+*
s(40,40,28)c(48,24,12)-c(24,24,20)s(8,24,12)--
c(40,32,20)t(32,32,20)t(24,24,12)-c(48,24,12)--
c(32,16,12)s(48,40,20)s(48,32,20)*+t(40,16,12)-
s(32,40,20)s(24,48,20)s(40,32,12)+c(24,24,12)+*
t(24,40,28)s(40,40,12)-s(32,32,28)*s(32,48,12)+
c(40,40,20)t(48,56,12)-s(32,32,20)*s(48,16,20)+
s(40,48,20)s(40,24,20)c(40,40,12)+t(24,56,12)++
t(24,48,28)s(16,48,12)s(8,32,12)+c(40,32,20)+-
