c(40,24,20)t(40,24,12)s(8,48,12)+-
c(40,32,20)t(16,56,12)c(48,40,12)+-
t(40,48,20)s(40,24,28)c(40,32,20)*-
s(32,24,28)t(32,16,12)-t(32,48,20)-
s(32,24,28)t(24,32,20)c(32,24,20)*-
s(40,24,20)s(32,40,12)+s(24,40,28)*
s(8,24,12)t(32,32,28)s(32,48,20)*+
s(16,40,20)t(40,32,12)+t(24,40,20)*
t(24,40,28)c(40,40,12)t(24,32,28)++
c(40,40,20)s(48,48,20)*s(32,32,28)+
s(40,48,12)t(32,32,20)+s(48,40,20)*
s(40,24,28)t(32,48,12)s(48,24,20)+-
s(24,24,20)c(32,32,20)s(24,32,20)**
c(40,40,20)s(24,32,12)c(40,48,12)+-
t(24,48,28)t(48,56,12)s(24,40,20)+*
c(40,40,20)c(48,24,12)s(48,48,20)+*
s(24,40,20)s(24,32,20)*t(40,40,20)-
s(24,40,28)s(32,40,28)+c(24,24,12)-
t(32,32,28)s(24,40,20)*s(32,40,20)*
s(40,40,20)t(24,32,20)s(40,32,12)+-
c(32,24,20)s(48,40,20)t(48,48,12)-+
c(24,32,12)s(40,16,20)s(16,40,12)++
c(24,24,20)c(16,40,12)+s(8,32,12)-
s(40,32,28)s(24,40,28)*s(40,40,20)*
t(40,24,20)c(24,40,12)t(48,16,12)+-
s(32,32,28)s(24,24,28)s(32,24,28)**
c(24,24,20)s(16,16,12)-s(32,16,12)-
c(32,40,20)t(24,32,28)c(16,32,12)-*
c(48,40,12)c(16,40,12)+s(40,40,28)*
t(24,24,20)c(24,32,20)s(40,32,12)-*
s(40,24,28)s(24,16,20)c(16,32,12)-*
s(40,40,20)s(32,48,20)*s(32,32,28)*
s(24,32,28)c(40,32,20)+s(48,24,20)*
t(32,32,12)s(48,32,20)+s(48,48,20)+
s(32,32,28)s(48,24,12)-s(32,16,20)*
s(32,40,20)s(40,32,28)c(40,24,20)**
t(24,40,28)s(40,48,20)t(48,16,12)+-
s(24,40,28)s(24,32,28)s(40,24,20)+*
t(32,56,12)t(16,48,12)+t(40,24,12)+
c(32,24,20)s(24,32,20)t(32,32,20)*-
t(32,32,20)s(24,48,12)s(8,16,12)++
t(16,56,12)t(40,32,20)s(32,32,20)*+
c(24,24,20)c(32,32,20)s(32,40,28)*+
s(16,40,20)t(32,48,28)s(24,32,12)--
s(32,32,20)c(32,40,12)s(16,40,12)+*
s(24,40,20)t(24,40,12)-s(16,40,20)*
t(40,40,20)c(40,32,20)t(32,32,28)**
s(40,24,28)c(32,32,20)*s(40,32,20)*
t(24,48,28)s(32,40,28)*c(40,40,20)*
s(16,32,20)s(16,24,20)*t(48,48,12)+
s(24,24,28)s(32,40,12)-c(40,24,20)*
s(48,16,20)c(32,40,20)+s(40,16,12)-
s(32,24,28)s(16,40,12)c(40,24,20)+*
c(32,40,20)t(40,32,20)s(40,48,20)+*
c(24,32,20)c(24,24,20)s(40,32,28)**
t(48,24,12)c(24,16,12)+s(40,16,12)+
t(32,32,28)s(32,24,20)s(16,16,20)-*
s(24,24,28)c(24,24,12)-t(16,16,12)-
s(48,16,20)s(40,24,20)-s(24,40,12)+
s(24,16,20)s(40,24,12)s(24,8,12)+*
t(24,48,20)c(32,40,20)c(40,24,20)+*
t(24,32,28)s(16,32,20)c(32,40,12)-*
c(24,32,20)s(40,32,28)*s(24,24,28)*
c(24,32,20)s(40,40,28)*t(24,48,12)-
s(8,48,12)c(32,24,20)t(48,40,12)++
c(24,40,20)s(40,24,28)-t(48,32,12)+
s(40,16,12)s(24,24,20)+c(32,24,20)*
s(32,32,28)s(40,40,28)*t(24,32,12)-
t(32,40,20)c(40,48,12)c(32,24,20)+*
c(40,32,12)s(16,40,12)+c(24,16,12)+
s(40,24,20)c(40,32,20)*c(24,40,20)-
t(40,32,12)t(48,56,12)+s(32,48,12)+
s(32,40,28)s(32,40,20)-c(32,32,28)*
s(24,32,12)s(48,24,12)t(32,48,28)++
s(32,24,28)s(32,16,12)-s(24,40,28)*
s(32,40,20)s(32,24,20)s(40,24,20)*-
c(24,40,20)t(32,48,28)c(24,32,20)*-
s(16,16,20)c(40,32,20)c(24,32,20)-+
s(32,32,20)s(32,8,12)+t(24,24,20)-
t(32,40,28)s(32,24,28)s(40,24,12)-*
s(40,32,12)c(40,32,20)s(32,32,20)-+
c(40,40,20)t(48,48,12)-t(32,40,28)*
s(40,24,28)s(48,16,20)t(32,24,12)-+
s(40,32,28)c(32,40,20)s(40,48,20)**
s(40,8,12)s(48,40,20)s(32,40,20)*+
t(24,32,20)s(32,40,20)+s(48,32,20)-
s(32,8,12)c(24,24,20)+s(32,32,20)-
s(32,24,28)s(40,32,28)s(24,16,20)-*
s(40,40,28)t(40,32,20)t(32,40,28)+-
t(32,48,28)t(48,24,12)+t(40,32,20)+
s(32,24,12)c(24,40,20)+t(24,40,28)-
c(16,48,12)t(24,16,12)+c(24,40,20)*
c(24,40,20)s(24,32,28)c(32,16,12)-+
s(24,32,28)t(32,16,12)c(16,48,12)+-
s(40,40,20)t(32,40,20)*s(24,24,20)+
s(32,32,28)c(32,32,28)c(16,16,12)-*
t(32,48,28)t(32,40,28)*c(24,40,12)+
c(32,32,28)s(48,16,20)*c(40,32,20)*
s(24,24,28)c(40,24,20)-s(24,40,12)-
c(32,32,20)c(48,48,12)s(32,24,12)+*
c(48,16,12)t(32,32,12)t(32,56,12)++
s(40,24,28)c(32,24,20)*t(40,32,20)-
s(40,24,20)s(48,32,20)c(40,32,20)*-
s(48,32,20)s(48,48,20)*t(32,40,20)+
t(24,48,28)c(16,24,12)+c(40,32,20)-
c(32,40,20)s(32,24,28)*s(16,24,20)-
c(32,32,20)t(40,24,20)c(24,16,12)--
t(24,48,20)s(32,48,20)*t(48,40,12)+
c(32,40,20)s(32,24,28)s(40,24,28)*-
c(24,40,20)t(24,48,12)-s(24,32,12)-
c(48,16,12)s(48,24,12)+s(32,32,20)+
s(8,24,12)t(24,48,28)+t(32,32,20)-
s(8,48,12)t(32,40,28)+s(16,32,20)-
s(32,40,28)s(40,24,28)*t(32,40,20)-
c(40,32,20)c(24,32,20)t(24,40,28)**
s(32,24,20)s(24,40,28)*s(24,24,20)*
c(32,32,20)s(32,40,28)t(24,48,12)-*
t(32,48,20)s(24,40,28)s(40,24,28)*+
s(40,24,28)s(24,24,28)c(40,40,12)-+
c(40,24,20)t(40,40,20)t(24,24,12)++
t(32,48,28)s(32,40,20)c(40,16,12)+*
s(40,32,28)t(32,32,28)*c(24,24,20)*
s(8,32,12)t(24,24,20)+c(32,32,28)*
c(32,40,12)t(24,40,12)+c(32,24,12)-
s(16,16,20)c(16,48,12)+s(16,32,20)-
t(48,24,12)s(16,48,20)+t(16,40,12)-
s(24,40,28)s(32,24,20)t(48,24,12)+*
s(32,32,20)c(48,40,12)-s(24,40,12)-
c(32,48,12)c(24,24,20)+c(32,32,20)*
s(16,40,20)s(32,40,28)+s(40,32,28)*
s(16,16,20)s(48,16,20)+c(32,40,20)-
s(48,32,20)t(32,32,28)t(24,40,12)-*
t(32,40,28)c(16,40,12)-s(24,40,20)*
c(32,32,20)t(32,48,20)-c(16,24,12)-
t(32,24,20)s(40,48,20)c(24,48,12)++
c(32,40,20)s(24,40,20)+s(32,32,20)*
s(32,40,28)s(48,16,12)s(32,24,20)+-
s(24,16,20)c(32,32,28)*s(32,32,28)*
s(48,40,20)s(32,32,12)t(32,40,12)+-
s(40,24,28)t(24,32,28)c(32,16,12)+*
s(24,32,28)c(24,24,12)-c(16,32,12)-
c(24,40,20)c(24,24,20)*s(16,16,12)+
s(48,48,20)t(32,24,12)t(40,32,20)+-
s(48,48,20)t(24,48,28)+c(40,40,20)*
t(32,40,12)t(40,24,12)s(8,16,12)++
t(16,48,12)c(32,24,20)+t(32,32,28)*
t(24,48,28)t(32,32,28)+s(16,48,20)*
c(32,24,20)s(48,32,12)+s(24,40,20)*
c(32,32,28)c(16,32,12)-s(24,16,20)*
s(40,32,12)s(48,16,12)+s(48,32,12)-
t(32,48,28)t(32,48,12)-t(40,24,20)-
s(32,40,20)s(40,32,20)t(32,32,28)*-
c(32,16,12)t(32,40,28)s(24,32,20)*+
c(32,32,20)c(24,40,20)*t(24,40,20)*
c(24,32,20)c(32,32,20)*c(40,24,20)*
s(48,32,20)s(32,24,28)s(24,32,20)*-
s(48,24,20)c(40,32,20)t(32,16,12)-*
s(24,24,12)c(32,40,20)+s(32,32,28)*
s(40,40,20)s(24,40,28)s(32,8,12)+*
s(24,40,28)s(40,24,28)*c(40,40,20)*
c(24,16,12)s(16,40,20)+c(24,48,12)-
c(32,32,20)t(24,48,20)-c(40,32,20)+
t(48,56,12)s(24,40,20)t(32,32,20)-+
s(24,24,28)s(32,40,28)s(40,32,28)*-
t(24,32,20)t(32,32,28)*t(24,40,12)+
c(24,24,20)s(32,24,12)-s(16,32,20)*
t(40,32,12)s(24,40,20)s(40,24,20)-+
c(24,24,20)s(32,32,28)t(40,16,12)-*
s(32,40,28)s(8,48,12)t(48,16,12)++
t(24,32,28)s(48,16,12)+t(24,48,28)*
t(40,48,20)c(32,24,20)+s(32,40,12)-
s(32,16,20)s(16,32,20)-t(24,24,20)-
s(40,40,28)s(32,24,28)t(32,40,28)**
s(40,40,20)c(24,32,20)c(40,24,20)*+
s(24,40,20)t(24,32,28)s(32,32,20)+*
t(40,24,12)c(48,40,12)+s(48,8,12)+
s(48,32,12)s(16,24,12)s(16,48,20)++
s(40,40,28)s(40,24,28)s(24,24,28)*+
s(16,16,20)s(16,24,20)s(40,16,20)+*
t(40,32,20)c(32,16,12)s(48,16,12)+-
c(40,40,12)t(40,24,20)+c(40,40,20)*
c(32,32,12)s(16,40,20)+s(32,32,12)-
s(40,24,12)s(32,24,12)+c(32,40,12)-
t(24,40,20)s(32,48,12)+s(16,48,20)+
t(24,32,28)t(32,48,28)-c(32,24,20)+
t(32,32,28)s(24,32,20)s(32,24,20)+*
s(32,24,20)t(32,24,12)-s(16,40,20)-
c(48,40,12)c(32,32,12)+t(24,48,28)-
c(40,24,12)s(32,32,12)+s(40,40,12)-
s(40,48,20)c(40,40,20)*t(32,56,12)-
s(16,48,12)c(16,32,12)+s(24,40,20)*
c(32,32,20)t(32,40,28)*s(24,40,20)*
s(32,32,28)c(16,16,12)+s(16,32,12)-
t(24,48,28)t(32,32,28)s(32,40,28)**
s(32,40,28)s(32,48,20)-s(24,32,28)*
c(24,40,20)c(32,24,20)c(40,24,12)-*
s(48,40,20)s(40,40,20)s(48,16,20)+*
t(32,56,12)c(16,24,12)+s(32,40,20)-
s(32,48,20)s(48,32,20)c(32,24,20)*-
s(40,16,20)s(32,24,28)s(48,32,20)*-
t(16,16,12)t(32,32,20)+s(16,24,12)-
c(32,40,20)c(24,32,20)s(16,24,20)*-
c(40,40,20)s(32,48,20)s(16,48,20)-*
s(24,32,12)c(32,24,20)s(40,40,20)*+
c(16,24,12)t(24,40,20)s(16,40,20)*+
c(32,32,20)t(24,32,28)s(48,48,20)--
c(40,40,20)t(32,48,28)s(32,40,28)*-
s(40,24,28)t(40,40,20)-s(32,32,20)*
t(32,48,28)s(16,40,20)-s(40,24,20)-
s(24,48,20)s(24,32,20)*t(32,48,20)+
t(24,48,20)c(32,32,28)*t(40,32,12)+
s(24,24,12)c(16,48,12)+c(32,32,28)*
s(40,48,20)c(40,40,12)-s(24,32,20)+
c(32,32,28)t(40,56,12)s(32,32,12)+-
t(16,48,12)s(24,24,28)+c(32,32,12)-
s(40,32,28)c(32,48,12)c(24,24,12)+*
s(24,32,28)t(32,48,12)s(16,48,20)+*
c(32,40,20)c(40,32,20)c(40,24,20)*-
s(32,48,12)c(24,16,12)+t(40,48,12)+
t(32,32,28)t(24,16,12)s(40,40,28)++
c(40,40,20)c(32,24,20)s(32,16,20)-+
t(24,40,20)s(16,40,20)*t(40,48,12)+
s(40,32,28)s(24,24,20)-s(40,32,20)*
s(32,16,20)c(40,48,12)s(16,16,12)+-
t(24,32,28)s(16,40,20)c(24,32,20)*-
s(16,32,20)c(32,32,28)*t(24,16,12)+
t(32,32,28)s(24,40,28)*t(32,32,20)*
c(32,32,28)s(24,24,28)*s(32,16,20)*
s(16,24,20)t(24,40,20)t(16,32,12)--
s(24,40,28)c(40,40,20)s(24,40,20)*-
s(24,32,28)t(32,32,20)s(40,32,20)*-
s(16,40,20)c(32,32,28)s(24,40,28)**
s(40,24,28)c(32,32,28)t(40,32,20)-*
t(24,40,12)c(48,16,12)+s(16,24,20)-
t(32,48,28)t(24,24,20)-t(24,32,28)-
s(32,32,28)c(24,32,12)-c(40,48,12)+
c(24,24,20)s(16,40,12)+s(24,8,12)-
t(24,32,12)t(24,24,12)t(16,48,12)++
s(40,40,20)t(32,40,28)t(24,48,28)*-
c(40,24,20)s(24,24,20)t(32,24,12)--
s(16,24,20)s(40,32,12)+t(24,48,20)+
c(40,40,20)s(40,32,20)*t(32,32,28)*
c(40,40,20)s(24,40,28)*s(24,24,28)*
t(24,40,28)t(32,32,20)-t(24,48,28)*
c(32,32,28)s(24,16,20)*s(40,24,28)*
s(24,24,28)c(40,32,12)t(24,32,20)+*
c(16,48,12)s(24,24,28)s(16,32,20)*+
c(40,48,12)s(32,8,12)+c(32,40,12)-
t(48,56,12)s(24,40,28)+c(32,24,20)*
s(40,32,20)c(40,40,20)s(24,40,28)**
s(48,40,20)c(40,32,20)*c(32,24,12)+
c(32,24,20)s(48,16,12)-s(32,40,28)*
s(24,40,20)c(24,32,20)*s(16,24,12)+
s(32,48,20)c(32,40,20)t(32,24,20)+*
s(24,24,20)s(40,24,28)*s(16,48,20)-
s(32,24,20)s(24,24,28)s(40,16,20)**
s(24,48,12)t(32,32,12)s(40,48,20)++
t(32,24,20)t(40,32,12)+s(48,40,12)-
c(32,32,20)c(24,32,12)c(40,24,12)+-
c(32,40,20)s(40,24,12)s(16,8,12)+-
s(16,40,20)t(24,40,12)t(16,56,12)+-
s(48,32,20)s(32,16,20)+s(40,24,28)+
s(40,40,28)t(32,40,28)c(24,24,20)+*
t(16,32,12)s(32,16,20)s(40,32,28)*+
s(24,40,20)c(32,32,28)s(32,48,20)*+
s(32,48,20)s(8,48,12)t(24,48,20)+*
c(32,40,20)s(24,40,20)*s(32,24,28)*
s(16,32,20)c(32,24,12)-t(16,48,12)-
s(32,40,28)s(40,48,12)-c(24,24,20)-
c(24,32,20)s(24,24,20)-s(48,32,12)-
t(32,24,20)s(32,40,28)*t(48,16,12)+
t(24,48,28)s(32,32,28)s(40,32,28)+*
c(24,24,20)s(32,40,28)s(32,32,28)**
t(24,48,28)t(32,24,20)s(16,48,20)++
s(24,16,20)s(40,32,12)+t(24,32,28)*
s(32,32,20)t(24,48,28)s(16,40,12)--
s(32,32,20)s(40,40,20)s(48,32,12)--
c(24,48,12)s(32,24,20)+s(32,40,12)-
s(40,40,28)s(32,40,12)-c(32,40,12)+
s(24,24,28)s(32,40,12)s(32,8,12)+*
s(32,24,20)s(40,32,20)s(48,40,20)-+
c(24,32,12)t(32,16,12)+s(32,48,20)+
s(48,24,20)c(32,24,20)*t(32,32,20)+
s(40,40,12)s(24,40,28)c(32,24,12)-+
s(32,40,28)t(32,48,28)c(40,32,12)-*
s(24,32,20)s(24,32,12)t(48,48,12)+-
t(24,48,20)s(40,24,20)+s(24,48,20)*
c(40,48,12)s(24,32,28)+s(24,24,20)-
c(32,40,20)s(16,48,20)s(32,40,12)+*
s(24,24,20)t(32,24,12)-s(24,48,20)-
t(32,40,20)s(48,48,12)t(40,16,12)+-
c(32,32,20)c(40,40,20)t(40,24,12)-*
t(24,32,28)c(24,40,12)-t(32,32,20)-
t(40,48,20)s(16,48,12)+c(32,24,20)+
c(40,48,12)c(24,32,12)+s(40,8,12)+
c(32,32,28)s(48,32,20)*t(24,40,28)-
s(16,48,20)c(40,32,20)s(24,40,28)*+
s(16,40,20)s(40,40,20)-c(32,32,28)*
s(16,48,20)s(16,24,20)s(24,16,20)--
t(16,56,12)s(40,24,28)+c(24,24,20)*
c(32,40,20)c(40,32,20)s(32,32,20)**
c(32,32,20)s(24,40,12)t(32,32,20)+-
c(32,40,20)s(24,40,28)*t(32,32,20)*
s(32,24,20)c(24,32,20)*s(40,40,28)*
s(40,24,20)c(32,32,20)s(48,24,12)+*
c(24,48,12)s(16,16,20)+s(24,32,28)*
t(16,40,12)t(32,48,28)+s(40,32,12)-
s(16,40,20)s(32,32,28)s(32,48,20)*-
c(40,24,20)s(32,32,20)c(32,24,20)*+
c(48,24,12)s(24,24,20)+c(32,40,20)-
t(24,40,20)s(24,48,20)*s(24,8,12)+
s(40,40,28)s(24,24,28)s(40,24,20)+*
s(24,40,28)t(40,40,12)t(40,24,20)+-
c(16,32,12)t(40,24,20)s(40,32,20)*+
s(40,40,20)t(32,56,12)c(32,24,20)+*
t(32,32,20)s(32,24,12)+s(40,32,12)-
t(16,16,12)s(16,32,12)+t(16,56,12)+
c(40,40,20)t(32,32,28)s(32,24,20)--
t(24,32,28)t(24,32,12)-c(32,32,12)+
t(40,40,20)c(32,32,20)*c(48,32,12)+
s(8,48,12)c(24,32,20)c(40,32,12)++
c(16,32,12)c(48,16,12)c(24,48,12)++
t(24,48,28)s(8,48,12)-c(24,32,20)*
t(24,40,28)c(48,48,12)+t(24,48,20)*
s(48,40,12)s(24,48,20)c(24,40,20)*+
t(32,48,20)s(32,16,12)+c(32,32,12)+
c(24,24,20)s(32,40,20)*t(16,48,12)+
t(24,32,28)s(16,32,20)+t(32,32,12)-
s(8,32,12)c(24,40,12)+s(24,16,12)+
s(24,32,28)s(40,48,12)s(16,48,20)+*
t(32,32,20)s(24,16,12)-t(40,40,20)+
c(40,40,20)s(32,16,20)s(16,32,12)+-
c(32,24,20)s(16,48,20)+s(40,32,20)*
s(24,16,20)t(32,48,20)+s(32,32,28)+
s(40,32,28)s(24,32,20)c(32,32,20)**
s(24,24,28)t(32,32,12)-s(16,16,20)*
s(48,48,20)s(16,24,12)+c(32,32,28)*
s(32,24,28)s(8,8,12)s(48,24,20)+*
t(32,40,28)s(32,40,28)s(24,24,28)**
c(16,40,12)c(32,32,12)+c(32,32,20)*
c(40,40,20)c(24,32,20)*s(48,16,12)+
s(40,48,12)t(32,24,20)+s(40,32,20)*
s(16,8,12)s(32,48,20)s(24,32,12)-+
c(40,24,20)c(32,24,20)+t(24,24,20)-
s(16,40,12)s(16,24,20)t(24,32,28)*+
c(24,24,20)s(16,32,20)+t(32,40,28)*
c(40,32,12)s(8,40,12)+c(32,48,12)+
s(32,32,28)c(32,16,12)c(40,32,12)+*
s(24,32,28)t(40,48,20)t(32,40,12)--
s(24,24,20)c(16,40,12)-s(16,16,20)*
t(32,48,28)s(40,48,20)*t(32,40,28)*
s(40,40,20)s(40,24,20)c(40,40,20)**
s(24,24,28)s(32,16,20)*c(40,24,20)*
c(40,40,20)s(40,40,28)c(32,32,20)**
t(24,32,28)t(16,24,12)-s(40,24,28)*
c(32,24,12)t(24,48,28)+t(32,32,20)*
s(48,24,20)c(24,24,20)+c(32,32,20)*
t(32,32,28)c(40,32,20)*c(24,32,20)*
t(40,32,20)s(48,16,12)+t(40,32,12)-
s(32,32,20)s(32,48,20)c(32,32,12)--
t(32,48,20)s(40,24,28)t(32,32,28)*-
c(40,24,20)s(24,40,28)c(40,40,20)+-
c(32,24,12)s(40,40,20)+s(24,16,20)-
s(24,40,28)s(16,40,12)-c(24,40,20)*
s(16,40,20)s(24,32,20)*c(24,40,12)+
t(32,48,28)s(32,32,28)*s(32,16,12)+
s(40,24,28)s(24,24,20)-s(40,24,20)*
t(32,40,28)s(40,16,12)t(24,24,20)+-
c(24,32,20)t(32,32,28)-t(40,40,20)+
s(40,40,20)t(40,40,20)c(48,40,12)+*
s(40,40,20)c(40,32,20)*s(24,32,28)*
t(32,48,28)t(24,24,20)s(32,24,20)*-
c(24,24,20)s(16,32,20)*s(24,8,12)+
c(24,32,12)t(24,16,12)+s(32,48,20)-
s(24,24,20)t(32,16,12)-t(24,32,28)*
s(24,32,20)t(32,40,20)-s(48,16,12)+
c(16,16,12)s(24,24,20)+s(24,32,20)*
c(48,16,12)t(32,40,28)+s(32,32,20)*
s(16,40,20)s(24,32,20)t(32,56,12)+*
s(40,16,12)c(32,32,28)c(24,24,20)-+
t(32,32,28)t(32,16,12)-c(32,32,20)*
t(24,32,28)c(48,48,12)c(16,40,12)+*
c(24,24,20)s(24,32,20)*c(32,24,20)*
s(40,24,28)t(32,32,28)s(24,40,28)**
s(24,40,20)s(40,32,12)-c(48,40,12)+
t(40,48,12)c(40,24,20)s(24,16,12)++
s(32,40,28)t(32,24,20)s(32,32,20)*-
t(32,32,28)c(48,32,12)s(48,8,12)++
s(24,40,28)t(16,56,12)c(48,40,12)++
s(40,40,20)c(40,16,12)+s(40,40,12)-
s(24,32,28)s(24,24,20)s(32,40,20)-*
t(32,48,28)s(32,16,12)+t(24,48,20)*
s(32,24,12)s(40,48,20)+s(32,48,20)*
s(32,24,20)t(24,40,28)c(24,16,12)-+
s(40,32,28)t(32,40,28)s(40,32,28)*-
t(40,40,20)s(16,24,12)c(24,32,12)+-
c(16,16,12)t(40,32,20)c(16,32,12)++
s(40,24,28)t(48,24,12)-t(40,56,12)+
c(40,32,20)c(32,32,28)t(24,40,20)-*
s(16,40,20)s(32,40,28)s(40,24,28)*-
s(24,40,20)c(32,32,28)c(32,32,12)-*
t(48,40,12)c(32,32,28)t(32,48,28)*+
t(40,48,20)t(32,32,28)+s(48,16,20)-
c(32,40,20)s(16,32,12)-s(40,40,12)-
s(48,32,20)t(32,24,20)+s(48,24,20)-
s(40,24,28)s(32,16,12)-t(40,40,20)-
s(40,24,12)s(16,40,20)+s(40,24,28)*
t(40,56,12)c(40,40,20)s(48,24,20)*+
c(24,40,20)s(32,32,28)c(40,32,20)**
t(32,40,28)t(24,48,20)s(40,48,12)+-
t(32,40,20)c(32,40,20)c(16,48,12)-*
c(40,32,20)s(40,40,20)*s(32,40,20)*
c(32,24,20)c(40,32,12)-s(48,8,12)-
s(40,16,12)s(24,48,20)+s(40,24,28)*
c(48,16,12)s(40,40,28)s(16,48,12)++
t(24,32,12)s(48,16,12)t(40,32,20)++
s(24,40,12)t(40,40,12)s(48,24,20)++
s(16,32,12)s(40,48,20)+s(48,24,20)-
s(24,40,20)s(40,24,28)c(32,24,20)+*
s(32,16,20)s(24,24,28)*s(16,48,20)+
s(16,8,12)t(16,48,12)+c(16,48,12)+
t(40,40,20)t(32,40,28)*s(16,48,12)+
s(40,48,20)s(16,40,20)t(32,24,20)-+
c(32,40,20)s(16,48,20)t(24,40,28)*-
s(32,32,28)c(24,32,12)-s(32,24,28)*
c(48,16,12)t(24,24,20)+s(16,48,12)+
s(24,24,28)c(24,40,20)s(32,32,20)**
c(32,40,20)s(16,8,12)+s(40,24,20)*
c(40,32,20)c(40,40,20)+s(24,24,28)-
s(24,8,12)t(40,48,12)s(48,16,20)++
s(32,16,20)t(40,24,20)+c(24,40,20)-
t(40,48,12)s(24,16,12)+t(32,48,12)+
c(48,24,12)s(32,40,12)+t(24,32,28)-
s(24,32,28)s(24,16,20)s(40,8,12)+*
s(24,16,12)t(32,32,20)+t(24,32,28)*
c(16,16,12)s(32,16,20)+s(32,40,28)+
s(32,40,28)s(40,48,20)t(24,40,20)+*
s(24,32,20)s(24,16,20)s(40,16,20)-+
t(24,32,28)s(40,32,20)*s(24,24,12)+
s(40,32,28)s(16,24,20)-t(24,40,28)-
t(32,32,28)s(32,40,20)*t(32,32,20)*
s(24,40,20)s(40,24,20)s(40,16,12)--
c(24,24,20)s(48,40,12)+s(24,32,20)*
t(24,40,28)s(16,32,20)s(32,40,12)--
s(24,32,28)s(24,16,12)-s(32,32,20)-
c(16,16,12)s(40,32,28)+t(24,16,12)-
s(40,48,20)s(48,48,20)*t(40,32,12)-
s(40,48,20)s(40,32,28)*c(32,48,12)+
t(40,24,20)t(32,48,28)s(40,40,28)*-
t(40,48,20)s(48,32,20)+s(24,48,20)+
s(40,24,20)s(24,32,28)c(16,16,12)-*
c(32,24,20)t(40,32,12)-c(32,40,20)*
c(40,32,12)c(24,24,20)+t(16,32,12)-
s(24,24,28)c(40,32,20)+t(40,40,20)-
s(40,40,12)s(40,24,28)c(32,40,20)*+
t(24,24,20)c(40,40,12)+s(24,40,28)+
c(24,32,20)s(48,32,12)+s(48,24,20)*
s(16,40,12)c(24,24,12)+t(16,48,12)-
s(24,8,12)t(48,40,12)t(16,40,12)++
c(32,32,28)s(48,16,12)s(48,40,20)+-
t(32,32,28)c(40,32,20)s(24,48,20)--
s(24,24,28)s(32,40,20)t(24,16,12)+-
c(32,24,20)s(16,16,20)s(24,32,28)*-
t(24,40,12)c(48,40,12)+s(48,40,20)*
c(24,24,20)t(16,24,12)-s(48,32,20)-
c(32,40,20)s(40,40,28)s(48,32,20)**
t(48,24,12)t(24,40,28)t(40,40,12)-+
s(32,32,28)s(24,40,28)s(32,48,20)*+
s(24,32,28)s(48,24,20)-t(24,32,28)-
c(40,32,20)s(16,32,20)+t(32,40,28)*
t(32,32,12)s(40,16,20)c(24,16,12)-+
s(32,24,20)t(32,40,28)+t(24,40,28)*
s(24,32,20)c(16,40,12)+s(16,40,20)*
s(24,32,20)s(32,24,28)c(32,16,12)-*
s(48,8,12)c(40,32,20)+c(40,48,12)-
c(24,40,20)c(40,32,20)s(32,48,12)--
c(24,24,20)s(24,24,12)s(24,40,20)+-
t(32,40,28)s(32,24,28)+s(24,24,28)*
s(24,48,20)s(32,48,20)*s(40,32,12)+
s(40,24,20)s(32,40,28)s(40,40,28)+*
c(40,32,12)c(48,24,12)+c(32,24,12)+
c(24,40,20)s(16,24,20)t(40,16,12)+-
s(24,40,28)s(24,24,28)s(32,32,12)--
s(32,24,28)c(40,32,20)*s(32,40,28)*
s(32,8,12)t(24,40,28)+s(24,40,12)-
s(8,16,12)c(32,32,28)s(24,40,28)-+
s(40,16,20)s(24,24,28)c(40,40,12)-*
s(16,16,12)t(32,48,20)+t(32,40,28)*
c(32,24,20)t(32,40,12)-s(32,32,12)-
s(16,40,20)t(32,48,12)+c(24,24,20)-
t(32,32,28)t(16,56,12)+s(32,32,12)-
c(40,32,20)s(48,48,12)c(24,16,12)+-
s(48,32,20)c(48,40,12)s(24,16,20)+*
s(48,32,20)s(32,32,20)*c(16,40,12)+
s(24,40,20)s(32,48,20)t(48,48,12)+-
t(24,48,20)s(24,48,20)t(32,48,28)**
s(32,40,28)c(40,24,20)t(16,24,12)++
s(32,40,20)c(48,16,12)c(24,24,20)+*
t(32,48,28)t(48,56,12)s(48,8,12)++
s(16,40,20)s(24,48,20)s(48,24,12)+-
c(40,40,20)t(24,48,28)-s(48,32,20)*
c(24,24,20)t(40,24,20)+s(16,32,20)*
t(32,56,12)t(24,40,20)s(48,16,12)++
t(32,24,20)s(16,40,12)t(40,40,12)+-
t(40,32,20)s(24,40,12)-t(24,40,20)+
s(32,24,12)s(48,40,20)+s(40,48,20)-
s(40,40,28)t(16,48,12)+c(40,32,12)-
s(24,32,20)c(40,24,20)t(32,32,28)*+
s(32,24,20)t(32,40,28)+t(24,32,12)-
s(16,48,12)t(40,48,20)+s(48,48,12)+
c(24,40,20)s(32,32,28)*s(24,48,20)*
s(40,40,28)s(32,16,20)s(40,24,20)*-
t(24,32,20)c(40,16,12)+s(48,48,12)+
t(24,32,28)t(32,48,28)t(32,56,12)-*
c(32,32,28)t(32,40,20)s(32,32,20)*-
c(24,40,20)c(32,40,12)-s(32,24,28)-
c(48,40,12)s(40,24,12)+s(8,40,12)+
s(32,16,20)s(24,24,28)*t(32,32,12)-
c(32,40,20)c(40,40,20)*t(16,24,12)+
s(40,40,28)t(32,48,28)-s(40,48,20)-
s(16,40,20)s(32,16,20)+s(32,24,20)*
s(32,32,28)s(16,24,12)-s(32,48,20)*
t(24,56,12)s(32,32,28)s(48,32,12)-+
s(40,24,28)c(16,40,12)s(40,40,20)++
c(32,32,12)s(32,8,12)t(16,16,12)++
s(32,40,28)c(32,32,20)*c(32,32,12)-
c(40,40,20)c(24,32,20)t(32,24,20)-+
s(40,32,28)s(32,40,12)-s(40,32,20)+
s(24,32,20)t(24,16,12)c(32,32,12)++
s(40,40,20)s(32,32,20)-s(16,48,20)+
s(32,32,20)t(24,56,12)c(24,32,12)+-
s(40,24,28)s(32,32,20)t(24,32,28)*-
c(16,24,12)s(32,32,20)s(40,32,12)-+
s(32,16,20)c(40,24,20)*t(48,16,12)-
c(40,40,20)s(32,48,20)+c(24,48,12)-
c(32,32,28)s(40,40,12)-s(32,32,12)-
c(40,32,20)t(40,24,20)c(48,40,12)-*
s(32,40,28)s(24,48,20)s(32,32,28)*-
s(48,48,12)s(16,16,20)+t(24,32,28)*
s(24,40,28)s(24,24,28)s(32,40,28)*-
c(48,16,12)c(32,24,20)t(24,32,28)*+
t(32,16,12)c(24,40,12)+t(24,32,12)-
c(40,32,20)c(24,24,20)t(16,48,12)++
s(32,16,20)c(24,24,20)t(16,24,12)-*
s(32,40,28)s(16,32,20)*s(24,16,12)-
c(32,40,12)c(48,32,12)+s(32,32,20)*
c(40,32,20)c(32,24,20)s(24,8,12)-*
c(32,24,20)t(24,24,12)-t(32,48,20)-
s(32,32,20)t(32,40,28)c(16,40,12)-*
s(40,24,20)s(40,24,28)t(24,24,12)-*
t(32,32,28)c(24,32,20)*t(32,40,28)*
t(40,32,20)c(32,24,20)*t(24,32,12)+
s(24,32,28)s(32,16,20)-s(32,40,28)*
t(40,48,20)c(40,24,20)t(32,16,12)--
t(32,40,28)s(40,16,20)s(40,40,20)-+
s(40,24,28)s(24,16,12)-s(48,32,12)-
t(32,40,28)c(40,40,12)-t(40,32,20)-
s(24,48,20)s(16,48,20)*s(48,40,20)+
t(32,48,28)c(40,40,20)s(32,48,20)+*
s(8,16,12)t(24,40,28)+s(24,24,28)*
s(16,40,12)c(24,24,20)s(40,24,28)*+
s(48,48,20)s(16,16,12)t(24,40,28)+-
s(24,24,20)t(24,32,28)c(40,32,12)-*
c(24,24,20)s(40,24,28)*s(16,16,20)-
t(24,48,20)c(24,24,12)+s(24,16,12)-
s(16,32,12)c(48,40,12)s(8,24,12)++
c(40,40,20)s(40,24,20)*s(40,40,20)*
s(8,8,12)c(32,24,20)t(24,32,28)++
s(32,40,28)s(16,24,20)+s(24,48,20)*
s(16,32,12)s(24,48,20)s(32,40,20)*+
s(32,48,20)t(40,24,20)+s(48,40,20)*
s(24,48,20)c(24,40,20)+s(40,40,20)*
t(24,32,28)s(16,48,12)-t(24,40,12)-
c(32,24,20)c(24,40,20)*s(24,32,20)*
c(32,40,20)c(32,24,20)s(40,32,28)*-
t(40,24,20)s(24,32,20)s(16,40,20)*-
c(40,40,20)t(32,48,28)+s(32,40,20)*
s(24,24,28)c(32,32,28)*s(16,40,20)*
s(40,40,28)s(24,32,20)c(32,32,20)**
t(40,48,12)s(32,8,12)s(48,48,12)++
c(24,40,12)s(48,16,20)+s(48,8,12)-
t(32,24,20)s(32,40,12)+t(24,16,12)+
c(32,40,20)s(16,24,20)-t(40,40,12)-
s(16,24,20)s(16,16,12)s(32,48,20)+-
s(32,32,12)s(48,24,20)+s(40,48,20)+
s(32,32,20)s(32,16,20)c(40,16,12)--
c(32,24,20)t(48,48,12)c(32,16,12)+*
s(32,32,20)t(40,40,20)+s(32,48,20)*
s(8,16,12)t(24,24,20)t(40,40,20)++
s(48,16,20)t(24,32,20)+t(24,48,20)+
s(24,40,20)t(24,56,12)t(40,48,12)++
s(48,48,20)t(32,40,20)+s(32,32,28)*
c(40,32,20)s(32,48,20)*s(40,48,12)+
c(32,40,20)s(40,16,20)+s(24,40,28)-
s(32,32,20)s(32,32,28)s(24,24,28)**
t(32,32,28)c(24,24,20)*s(32,24,12)-
c(40,32,20)t(32,40,28)*c(40,40,20)*
s(40,40,28)s(32,16,20)+s(32,32,28)*
c(24,32,12)s(40,48,12)+s(32,32,28)*
s(16,24,20)s(32,16,20)t(16,32,12)+*
s(24,48,12)s(48,32,20)+t(32,32,28)*
s(40,24,20)s(40,24,28)t(32,32,12)-*
s(32,24,20)c(40,24,20)*s(40,24,20)*
s(16,48,20)t(32,40,28)s(48,8,12)++
s(40,24,20)s(24,32,20)c(24,32,12)--
t(40,48,20)t(32,48,28)s(40,48,20)**
s(16,32,12)s(48,16,12)c(40,24,12)++
s(24,48,20)s(32,48,20)*s(40,40,12)+
c(24,32,20)c(40,24,20)*t(32,40,28)+
c(40,32,20)t(32,16,12)-t(24,32,20)-
s(32,40,20)c(40,48,12)-t(48,48,12)+
s(24,24,20)c(32,24,20)s(32,40,20)--
c(40,24,20)c(24,32,20)*c(40,32,20)*
t(48,24,12)s(16,40,12)+t(40,32,20)+
c(24,40,20)c(40,40,20)c(32,32,20)*-
s(32,40,28)s(40,24,20)s(40,32,20)*-
c(40,40,12)t(24,32,28)+s(40,24,20)+
s(16,16,20)c(16,32,12)+s(40,48,20)+
c(40,32,20)s(40,32,28)t(32,16,12)-*
t(24,48,28)s(24,24,20)+s(16,48,20)*
s(48,24,12)c(32,24,20)s(24,16,20)*+
c(40,40,20)s(48,24,20)-c(24,40,20)*
c(32,48,12)s(48,16,20)t(32,16,12)++
t(32,40,28)s(24,40,20)*s(40,48,12)+
t(40,48,20)t(24,48,12)+t(24,24,20)+
s(24,16,20)t(24,32,28)s(40,24,28)*-
s(24,32,28)s(40,16,20)c(32,32,28)*-
s(24,24,28)t(24,32,12)-s(24,32,20)*
s(40,24,28)t(24,48,28)s(40,40,20)-+
s(8,40,12)s(16,16,20)s(16,8,12)-+
s(40,16,12)c(24,32,12)+t(32,48,28)-
s(24,40,28)s(16,48,20)-s(16,48,20)+
t(32,32,28)c(40,40,20)t(24,40,20)-*
t(40,32,12)s(48,48,20)+s(48,24,20)-
s(32,24,20)s(32,32,20)*t(24,32,28)*
s(32,40,20)s(24,40,20)*s(40,40,28)*
s(32,40,28)s(24,32,20)*c(40,40,20)+
t(40,40,20)c(32,32,20)c(24,32,12)-*
s(40,32,20)c(24,40,20)c(40,24,20)-+
s(40,40,28)t(40,40,12)-c(24,32,20)*
t(32,32,28)s(24,40,28)*c(32,24,20)*
t(32,32,20)s(24,32,20)+t(24,48,28)*
s(40,48,12)t(24,48,20)+t(32,48,20)*
s(16,8,12)s(48,40,12)+c(24,24,20)-
s(32,8,12)t(24,32,20)+s(24,16,20)*
s(32,24,28)s(40,16,20)*s(48,32,12)-
c(40,32,20)s(48,48,12)-s(48,16,12)-
s(40,24,20)s(48,16,20)*s(24,16,12)+
t(16,24,12)t(32,16,12)+t(24,48,20)+
s(48,32,20)c(40,40,20)*s(24,24,20)-
c(24,32,12)c(24,16,12)+s(24,16,20)*
s(16,24,20)c(24,24,20)*t(16,56,12)+
s(40,32,28)c(24,24,20)*s(48,32,20)+
s(48,40,20)s(24,24,12)+c(32,24,20)*
c(24,32,20)c(48,40,12)+c(40,40,20)*
s(8,24,12)s(32,40,12)+s(40,48,12)+
c(16,32,12)s(24,40,20)+s(32,32,28)*
s(24,40,20)c(32,32,20)t(40,32,12)-*
c(32,32,28)t(24,48,20)-s(40,48,20)*
s(40,32,28)s(32,48,12)-c(40,24,20)*
c(40,40,20)c(32,40,20)c(24,32,20)**
s(24,40,20)c(24,40,20)s(24,32,28)**
c(24,24,20)t(32,48,20)+s(48,24,20)-
c(40,40,20)s(24,48,20)c(32,40,20)**
c(24,24,20)c(40,24,20)t(16,56,12)+-
t(32,40,28)s(16,8,12)c(24,24,12)+-
s(48,40,20)c(32,24,12)+s(40,32,28)*
s(24,40,20)s(16,48,12)-t(24,40,28)*
s(32,24,28)s(40,24,12)s(40,48,20)+*
s(24,32,28)c(40,40,12)-s(16,40,20)-
c(40,48,12)s(16,24,20)+s(32,48,20)*
s(24,32,28)t(24,40,28)c(40,32,20)--
s(32,40,28)t(16,56,12)c(32,32,12)+*
s(40,24,28)t(40,16,12)-c(40,40,20)*
t(32,32,28)t(32,32,12)-s(32,32,20)*
s(32,32,28)s(32,16,12)-s(48,8,12)+
c(32,32,20)s(40,40,28)s(40,24,20)**
s(48,32,12)s(32,16,20)t(32,32,28)-+
s(32,40,28)c(32,24,20)c(24,32,12)-+
s(40,24,28)s(32,40,28)+s(48,32,20)-
t(40,48,20)s(16,16,20)+t(40,40,12)-
c(24,40,20)t(40,48,20)-s(40,32,20)-
s(24,32,20)t(32,32,20)+s(32,16,12)-
t(16,24,12)t(24,16,12)+s(32,40,12)+
s(24,40,28)s(32,32,12)s(40,48,20)+*
c(24,24,12)t(16,48,12)c(16,24,12)++
s(40,40,28)s(48,32,20)+s(32,40,20)-
t(40,24,20)s(32,16,12)+s(32,40,28)+
s(48,48,20)c(48,24,12)t(40,48,20)+*
s(16,24,20)c(32,40,20)s(40,48,12)--
s(32,32,28)s(8,24,12)c(40,24,20)+*
s(32,32,28)c(24,16,12)-c(24,24,20)-
s(32,32,28)t(40,40,12)-s(32,40,28)*
s(16,40,20)c(32,40,12)-t(24,48,20)+
c(32,32,20)s(48,40,20)s(32,40,28)**
c(32,32,28)s(24,16,20)s(32,32,12)+*
s(24,24,28)t(32,48,28)-s(40,32,28)*
s(24,32,28)s(32,40,28)t(24,24,12)--
s(48,16,12)s(16,32,20)t(24,40,28)*+
c(32,32,28)s(8,16,12)c(40,24,12)+-
t(24,40,28)t(40,24,20)-s(40,32,20)+
t(24,40,12)s(40,48,20)+s(32,48,12)-
s(40,48,20)s(24,48,20)+t(24,40,20)*
t(32,56,12)c(32,32,20)+c(48,24,12)-
t(32,32,28)s(40,40,28)s(48,48,20)--
c(16,40,12)s(24,32,12)+s(24,16,12)+
c(40,24,20)s(40,32,20)*t(24,24,12)+
c(40,24,20)t(32,32,28)*c(24,32,20)*
s(32,32,28)s(32,40,12)-t(32,40,20)+
s(16,48,20)s(40,32,12)+s(48,16,20)-
t(32,32,20)s(32,40,20)t(32,32,28)*+
s(24,24,28)t(32,32,28)+s(24,40,20)*
t(32,48,28)t(40,48,12)c(32,24,20)+*
s(32,8,12)s(16,48,20)+s(32,8,12)-
s(40,32,20)s(32,32,20)*s(48,32,12)-
s(40,32,28)c(24,32,12)-s(40,40,28)*
t(24,24,20)t(24,32,28)t(40,40,20)-*
c(32,32,20)s(32,32,20)s(40,40,12)--
s(24,24,20)c(32,16,12)+s(40,32,28)*
c(48,16,12)s(32,32,12)+s(32,40,28)*
c(32,32,20)s(32,24,20)t(40,24,20)*-
c(32,40,20)s(8,40,12)s(40,32,20)+*
s(40,32,28)t(32,56,12)+s(24,24,28)*
c(24,32,20)s(32,24,20)-s(32,40,28)*
c(16,24,12)s(40,24,20)+s(24,24,28)*
t(32,32,28)s(32,40,28)c(32,48,12)-*
t(32,40,20)s(40,32,28)s(40,24,20)-+
c(24,32,20)s(40,32,20)t(32,32,28)**
s(32,40,20)c(24,40,20)c(32,24,20)**
c(24,16,12)t(32,40,28)+s(32,48,12)-
t(48,48,12)c(16,24,12)+t(32,56,12)+
c(40,40,20)s(32,32,28)s(40,24,20)*+
s(48,48,12)t(32,40,20)c(16,48,12)++
s(24,32,28)c(32,16,12)s(16,40,20)+*
c(32,32,28)s(24,16,20)*s(24,32,28)*
s(32,32,28)s(40,32,20)s(32,16,12)+*
c(32,40,20)s(32,32,28)s(40,32,28)**
s(32,24,28)s(16,32,20)+c(24,32,20)*
s(16,16,20)s(24,32,20)s(40,40,28)+-
t(24,40,20)t(24,24,20)+s(24,16,20)-
c(24,24,20)s(40,32,20)-c(48,24,12)+
s(24,32,28)t(32,40,12)-s(32,48,20)+
s(32,40,12)s(40,24,20)t(32,32,20)-+
s(24,24,28)s(32,16,20)*c(24,40,12)+
c(24,32,20)s(32,24,20)-c(48,48,12)+
c(32,24,20)t(48,16,12)-s(40,40,12)-
s(32,32,28)c(48,24,12)-c(32,40,12)-
t(40,32,20)s(48,32,20)s(40,24,28)**
c(32,40,20)t(40,40,20)t(32,32,20)+*
c(32,40,20)s(40,16,20)s(40,16,12)--
c(24,24,20)t(32,24,20)-s(16,48,20)-
t(16,24,12)c(32,16,12)+s(48,48,12)+
t(24,24,12)c(40,40,20)+s(32,24,20)*
s(16,24,20)s(16,48,20)s(24,48,20)*+
c(40,24,20)t(32,32,20)-c(16,48,12)+
t(16,16,12)s(32,32,20)s(48,32,20)*+
t(32,40,28)s(48,40,20)s(32,32,20)+*
s(32,32,20)s(40,24,28)*t(40,16,12)-
s(32,40,28)s(32,40,20)s(48,16,12)+*
t(24,32,28)c(40,16,12)s(32,40,28)+*
s(16,48,12)t(40,32,20)+c(24,32,20)*
t(32,32,12)s(32,16,12)+s(40,32,28)*
s(32,32,28)s(24,32,20)s(40,16,20)-*
c(32,40,12)c(16,48,12)+s(24,48,20)*
s(8,48,12)t(40,40,20)+c(48,48,12)-
s(32,16,20)s(48,8,12)t(32,48,12)++
c(32,32,28)c(24,24,20)c(48,16,12)+-
c(24,24,20)s(8,8,12)s(16,24,20)+-
s(48,40,20)s(24,32,20)-s(32,40,28)*
c(32,32,12)s(40,32,28)s(24,24,20)*+
c(32,40,20)s(32,32,20)c(32,24,20)**
t(32,40,12)s(16,32,12)s(8,16,12)++
t(32,48,28)t(32,32,28)t(32,32,12)-+
t(16,32,12)s(40,32,12)c(32,40,12)++
s(16,24,20)t(24,40,28)s(24,16,12)+*
s(40,16,20)s(48,32,20)t(32,40,28)--
t(32,16,12)t(24,24,12)s(8,40,12)++
s(32,32,28)c(48,32,12)-s(24,32,28)*
s(32,32,20)s(24,8,12)+s(48,24,12)+
c(24,40,20)t(32,32,28)*t(32,48,28)*
s(40,24,28)t(32,48,28)-s(40,24,20)*
s(48,40,20)t(32,32,20)-s(24,8,12)+
s(40,24,20)s(8,16,12)t(40,16,12)+-
s(32,32,28)t(32,32,12)-c(40,40,20)*
c(40,40,12)s(24,40,20)+s(16,24,12)-
c(40,40,12)c(24,40,20)+s(16,32,20)*
s(32,24,28)s(48,24,12)-s(32,40,28)*
c(24,32,12)s(48,16,12)c(24,16,12)++
s(32,16,12)s(40,24,20)s(32,16,20)*+
c(32,24,20)s(40,24,20)c(40,32,12)-*
c(24,16,12)t(40,56,12)t(24,16,12)++
c(32,24,12)t(24,40,20)+c(24,48,12)-
c(32,32,28)c(16,48,12)-t(24,48,28)*
t(24,40,20)s(48,40,20)-s(48,48,12)+
c(24,32,20)s(32,48,12)t(32,24,20)+*
t(40,32,20)s(32,32,20)+c(24,32,20)*
c(32,40,12)s(8,16,12)+s(40,16,12)+
s(48,48,20)s(48,40,20)*s(48,8,12)+
s(24,24,28)s(32,32,28)c(32,40,20)--
s(32,32,28)t(24,40,28)*s(32,48,20)*
s(24,40,28)s(40,32,20)+s(48,24,12)-
c(24,24,20)c(24,32,12)-t(40,16,12)-
c(40,40,20)s(40,40,28)c(40,48,12)--
s(32,16,20)c(24,24,20)c(32,32,20)--
s(40,32,28)s(32,48,20)c(32,32,28)**
s(48,16,20)s(32,32,28)+c(24,24,20)*
c(40,16,12)c(32,40,20)t(48,16,12)++
c(32,24,20)s(40,40,20)s(16,16,12)+-
s(24,24,28)s(48,32,20)-c(40,24,20)+
s(40,48,20)t(32,40,28)+c(24,40,20)-
s(40,48,20)s(48,40,20)*s(40,40,12)+
s(24,32,28)t(16,32,12)-s(24,48,12)-
t(48,24,12)s(24,8,12)t(32,32,28)++
c(40,24,20)t(24,24,20)-s(40,32,20)*
s(32,48,20)s(48,48,20)t(32,48,28)*-
s(32,48,12)c(40,24,20)t(32,32,28)*+
s(32,32,12)c(16,40,12)+t(16,40,12)-
s(16,48,20)c(40,48,12)+t(24,48,20)-
c(32,40,20)s(16,32,20)s(16,8,12)++
t(40,48,20)t(24,40,20)c(32,32,20)*+
s(48,32,20)t(32,32,28)s(40,40,28)*-
s(24,32,20)s(32,40,28)s(24,32,28)**
s(32,48,20)t(32,48,28)s(40,32,28)*-
s(32,40,20)s(32,32,20)*t(32,40,28)*
s(16,16,12)c(40,48,12)t(32,40,20)++
s(32,32,20)s(48,40,12)-s(48,24,20)-
c(32,24,20)s(24,32,20)s(24,48,20)*-
c(40,40,20)t(40,40,20)c(32,32,20)*-
t(32,32,20)t(24,40,28)t(48,24,12)++
t(16,24,12)c(24,40,20)t(24,48,20)-+
c(32,32,28)c(24,24,12)-c(40,32,20)*
s(48,48,12)c(32,24,12)+s(24,40,20)+
c(40,40,20)s(32,24,28)s(16,48,20)--
s(8,48,12)t(32,32,28)+t(24,40,28)*
s(48,40,12)c(16,24,12)+s(48,48,20)+
s(40,40,28)t(32,32,12)-t(40,24,20)+
t(24,32,28)t(40,32,12)+t(32,40,20)-
t(24,32,28)s(16,48,20)s(40,32,28)--
s(32,32,28)s(48,32,20)-s(40,48,12)-
s(40,24,20)c(40,32,20)s(40,24,28)**
c(48,24,12)s(16,24,20)c(24,24,20)++
t(24,32,28)s(24,40,28)c(24,48,12)-*
s(32,40,20)c(40,24,12)-t(24,32,20)+
c(32,24,20)s(24,24,20)+s(40,16,20)*
c(32,32,20)t(24,32,12)-s(8,40,12)+
s(40,24,28)s(24,32,28)*s(40,40,28)*
s(32,40,20)c(48,48,12)-c(40,40,20)*
t(24,24,20)s(48,32,20)+s(40,16,20)*
s(32,32,28)s(40,40,20)s(40,24,12)-*
s(40,40,12)t(48,16,12)+s(48,48,12)-
s(40,24,28)s(40,16,20)-t(32,32,28)*
c(24,16,12)s(48,48,20)t(48,56,12)-+
s(32,24,20)t(24,40,20)t(24,24,20)-+
s(40,24,28)c(32,40,12)s(24,24,20)+*
s(48,40,20)c(32,16,12)+s(24,32,20)-
s(40,24,20)c(48,16,12)+s(24,16,20)-
c(40,32,20)s(40,40,28)s(16,8,12)+*
c(16,40,12)s(40,32,20)+c(40,24,20)-
s(40,32,20)c(16,24,12)s(48,24,20)+*
s(40,32,28)s(48,32,12)-t(40,40,20)*
s(24,16,20)t(24,40,28)c(32,40,20)*-
s(40,8,12)t(32,32,28)+t(32,40,28)*
s(16,24,20)s(32,32,28)t(16,24,12)--
c(24,32,20)s(32,32,28)t(24,24,12)-*
c(32,32,28)t(24,40,28)c(32,40,20)*-
t(24,48,28)t(24,32,28)s(24,40,20)*-
t(48,48,12)c(40,24,20)+s(16,8,12)+
t(24,32,20)t(40,24,20)-s(32,40,12)+
c(16,32,12)t(32,24,20)s(32,16,20)*+
s(48,48,20)c(48,24,12)+t(40,40,20)*
s(32,40,20)c(40,24,20)s(48,16,12)-*
s(24,48,20)t(48,32,12)t(24,48,12)++
c(24,32,20)c(32,40,20)c(16,48,12)-*
s(8,8,12)t(24,48,28)+c(32,48,12)-
c(40,24,20)s(24,48,20)-c(40,24,12)-
s(48,48,20)s(16,48,12)s(40,40,20)+*
s(32,40,28)s(32,24,28)c(40,16,12)-*
s(40,8,12)c(48,32,12)+c(32,24,20)*
t(32,32,12)c(32,48,12)+t(40,40,12)-
s(24,16,20)c(24,48,12)+c(32,24,20)*
s(40,16,20)s(40,24,12)-t(40,16,12)-
s(24,40,28)t(24,48,28)c(32,32,20)+*
t(32,48,28)s(40,16,20)+s(24,16,20)*
s(32,48,20)s(48,48,20)*t(24,40,28)+
t(40,24,20)s(32,32,28)c(40,32,20)**
s(32,48,20)t(16,48,12)-s(16,40,20)-
s(40,40,28)s(48,16,20)-c(24,40,20)*
s(16,32,20)c(32,32,20)s(32,40,28)*-
t(32,32,28)s(40,24,12)t(16,16,12)+-
c(40,32,20)s(32,32,20)*s(16,40,20)-
s(40,24,28)s(40,32,28)s(16,32,20)+*
t(32,40,12)t(40,40,20)+c(16,16,12)+
s(32,40,28)c(16,40,12)-c(48,48,12)-
s(16,32,12)t(40,40,20)+s(16,32,12)-
s(40,16,20)t(32,16,12)-c(40,24,12)-
t(24,40,28)s(32,24,28)s(16,24,12)-*
t(32,32,28)s(8,40,12)c(32,40,12)+*
t(16,32,12)c(40,32,20)t(32,24,20)-+
t(32,24,20)c(24,32,20)*s(24,32,20)+
s(48,40,20)s(16,48,12)+c(16,48,12)-
t(16,32,12)s(24,40,28)s(32,48,20)*+
c(32,32,20)s(32,48,12)-s(40,40,28)*
s(32,24,28)t(24,32,28)-s(24,16,20)-
c(32,40,20)t(40,48,20)*s(32,24,20)+
s(48,48,20)c(32,32,20)+s(24,24,28)*
s(24,24,20)c(32,24,20)*c(24,40,20)*
s(32,32,20)c(40,32,20)t(40,48,20)+*
t(24,56,12)s(32,16,20)+t(32,16,12)-
s(32,40,20)s(32,32,12)-t(24,32,20)-
s(32,40,20)c(48,48,12)s(40,32,20)++
s(16,40,20)s(40,40,28)s(40,24,28)*-
s(32,48,20)t(24,40,28)s(24,32,28)**
t(40,56,12)c(32,32,20)+c(48,32,12)-
s(48,32,20)s(32,32,28)c(24,24,12)-*
t(40,32,20)t(16,48,12)+c(40,32,20)*
c(16,32,12)c(32,16,12)+c(40,24,12)+
s(40,40,20)c(24,40,20)s(32,40,20)+*
s(48,8,12)t(32,24,20)+c(48,24,12)-
c(40,40,12)t(32,40,20)+s(48,40,12)-
c(40,48,12)s(40,32,28)t(32,48,28)*+
t(48,56,12)s(24,40,28)s(32,24,20)*+
c(16,24,12)s(40,16,20)c(24,48,12)++
s(40,24,28)s(40,40,20)+s(32,24,28)-
c(48,32,12)s(48,40,20)s(48,24,12)-+
t(32,40,20)t(32,32,28)c(32,32,20)**
s(32,32,28)s(16,48,20)-t(48,16,12)-
s(24,48,20)t(24,16,12)+s(8,16,12)+
s(24,40,28)t(24,32,12)-c(24,40,20)*
s(40,24,28)c(48,16,12)-s(32,24,12)-
s(32,24,20)c(24,24,20)s(48,48,12)+*
t(16,56,12)s(32,32,20)s(40,24,20)*+
s(24,40,28)s(24,24,12)-s(48,24,20)-
s(8,48,12)s(40,40,20)+s(48,48,20)*
s(40,40,28)s(8,40,12)s(32,24,28)+*
s(32,32,20)s(48,24,12)t(40,40,20)+*
t(32,32,28)t(24,32,20)c(32,24,20)**
c(32,32,20)s(40,8,12)s(24,48,20)+*
t(48,16,12)t(32,32,20)t(48,56,12)++
c(40,40,20)t(24,48,12)-s(24,40,28)*
s(24,48,20)c(16,48,12)-t(48,48,12)+
s(16,48,20)s(32,16,20)+s(32,8,12)-
t(32,24,12)c(32,32,28)c(24,40,20)-+
c(48,32,12)s(24,8,12)s(16,40,12)++
c(32,24,20)s(24,40,28)t(32,40,28)*-
s(32,16,20)s(40,40,28)+s(48,24,12)-
c(40,40,20)s(24,48,12)t(32,32,20)+*
s(40,48,20)s(32,16,12)+s(32,24,20)-
s(48,24,20)c(32,32,20)t(32,40,12)--
s(40,16,12)s(32,40,20)+s(24,32,20)*
s(48,40,20)t(40,56,12)+t(48,48,12)-
s(32,40,28)s(32,40,20)s(24,48,20)*-
s(24,40,20)s(24,32,12)-s(24,48,20)*
s(32,40,28)c(32,24,20)s(32,40,12)-*
s(24,32,28)s(8,40,12)-s(24,48,20)*
t(24,40,28)s(32,32,20)*s(40,40,28)*
s(16,24,20)t(40,24,12)+t(32,32,28)+
t(32,48,28)s(24,24,20)s(32,16,12)-+
c(40,48,12)s(40,24,20)+t(32,32,28)*
s(32,40,28)c(24,32,20)*c(32,24,20)+
c(48,32,12)s(32,24,12)+s(32,40,20)+
t(24,16,12)c(32,48,12)c(24,32,12)++
s(24,40,28)s(32,48,20)*s(24,32,28)*
s(24,32,20)s(24,24,12)c(24,40,12)+*
t(32,56,12)s(24,24,20)+s(24,40,20)*
t(32,24,20)s(40,48,12)+s(40,24,12)-
t(40,48,20)s(8,16,12)t(16,48,12)++
c(32,32,20)s(24,24,12)c(16,32,12)+*
s(8,32,12)s(32,48,20)+s(16,48,20)*
s(24,24,20)c(32,32,20)*t(24,32,20)*
t(24,40,28)s(16,24,20)c(32,24,12)--
c(24,24,20)t(24,32,28)*s(40,40,28)*
t(16,32,12)c(48,40,12)c(24,48,12)++
t(32,40,20)t(24,56,12)+s(16,32,20)+
s(48,40,12)s(24,24,20)+c(24,40,20)*
t(16,56,12)s(40,16,12)s(48,40,12)++
s(16,48,20)s(32,48,12)-c(24,16,12)+
s(32,32,20)t(24,48,28)s(40,48,20)+*
c(32,32,20)s(16,32,20)c(32,32,28)**
c(32,32,20)s(24,32,20)*s(32,40,20)*
s(32,16,20)c(16,16,12)+t(32,32,20)+
s(16,32,20)s(40,16,20)s(40,24,20)*+
s(40,16,20)t(48,40,12)+c(40,48,12)+
s(40,24,12)s(48,32,20)s(40,24,20)-+
s(16,24,12)c(40,40,20)+s(24,24,28)-
t(24,48,20)s(48,16,20)+s(24,40,20)*
s(32,16,20)s(40,24,20)+c(40,24,12)-
s(40,8,12)c(40,24,20)t(32,40,28)*+
c(24,40,20)t(40,48,12)-s(24,40,20)*
s(32,32,28)s(16,16,20)s(32,16,20)*-
s(32,8,12)t(32,32,12)+t(32,24,12)-
s(24,40,20)t(24,32,28)c(24,24,20)**
t(32,16,12)s(16,40,20)+s(24,24,12)-
t(32,32,20)c(16,32,12)+s(16,16,12)+
s(24,40,20)s(16,48,12)-s(8,32,12)-
s(32,24,28)s(32,48,20)+t(32,40,12)-
s(24,32,28)t(40,24,20)s(32,32,28)*-
s(32,16,20)s(32,24,12)-t(24,48,28)+
c(40,40,20)c(24,40,20)*t(24,48,12)+
t(24,48,28)s(48,48,12)s(16,40,20)+*
s(48,24,20)s(40,40,20)-s(32,8,12)+
s(32,32,20)s(16,24,20)-c(32,48,12)-
c(40,24,20)s(40,16,20)c(32,24,12)-*
t(32,32,20)c(16,16,12)+c(40,32,20)*
s(32,24,20)c(40,40,20)+s(40,24,28)*
t(32,48,20)c(32,32,28)s(16,32,20)-*
c(40,40,20)s(40,32,28)t(32,32,28)*+
s(40,40,20)s(24,24,28)+s(32,32,28)*
c(32,40,20)c(32,32,20)*t(24,32,20)-
t(40,16,12)s(8,16,12)+t(40,24,12)+
s(48,48,20)t(16,48,12)s(40,40,20)+*
c(24,24,20)c(32,24,20)c(40,32,20)**
c(24,32,20)c(32,24,12)-s(32,40,28)*
c(32,40,20)s(40,24,28)-t(40,56,12)-
c(32,24,20)t(40,24,12)-c(24,24,20)+
s(24,16,20)c(16,40,12)s(40,8,12)+-
t(24,32,20)t(32,40,28)s(32,24,20)*+
t(24,40,20)s(40,16,12)t(40,24,12)++
c(48,24,12)s(8,32,12)s(32,40,20)++
t(48,48,12)s(32,48,12)+t(32,48,20)+
c(40,24,20)s(32,40,28)s(24,48,12)-*
s(32,24,20)s(40,32,20)s(24,48,20)-+
s(40,40,28)t(32,40,28)t(24,48,20)-*
c(24,24,20)c(24,32,12)c(16,48,12)+-
s(16,24,20)s(40,24,20)s(24,16,12)++
s(40,32,28)t(48,16,12)t(32,24,12)+-
c(32,32,20)s(24,40,28)+t(32,48,12)-
s(48,16,20)c(24,24,20)s(16,32,12)--
t(32,40,28)t(48,56,12)s(16,48,20)+-
s(40,32,28)c(24,24,20)s(24,40,28)*+
t(16,24,12)s(24,16,12)+s(24,24,20)*
s(24,48,20)c(32,16,12)+s(40,24,28)*
c(32,32,20)t(24,24,12)-c(40,40,20)*
s(24,32,28)c(40,40,20)-s(24,24,20)+
s(24,32,28)t(24,48,28)+s(16,40,20)-
s(32,40,20)s(16,8,12)t(24,40,28)+*
s(40,24,28)t(24,24,20)-c(32,24,20)*
s(32,24,28)s(16,32,20)c(32,24,20)*-
s(24,48,20)t(32,32,12)t(32,48,20)+*
t(40,40,20)t(32,40,28)t(48,24,12)+*
s(40,24,20)s(32,16,20)s(24,24,12)--
c(48,48,12)s(24,48,20)+t(48,56,12)-
s(24,40,20)c(24,32,20)s(24,48,20)--
c(40,32,20)s(40,40,12)-s(40,16,20)-
t(24,32,28)c(40,24,20)-t(16,48,12)-
c(32,32,20)s(48,48,20)s(40,40,28)*-
t(40,32,20)t(32,24,12)-t(32,40,12)+
s(32,40,20)s(32,24,20)s(48,32,20)+*
s(48,24,12)s(16,24,20)+t(32,32,28)*
t(24,32,28)c(24,40,12)t(32,16,12)+-
s(32,40,20)t(48,48,12)+s(48,40,20)*
t(24,32,28)c(40,48,12)-s(16,24,20)*
s(32,24,28)c(40,48,12)t(32,24,20)+*
s(40,32,28)t(48,24,12)-c(32,24,20)*
s(48,40,20)s(48,48,20)s(32,32,12)++
s(32,40,20)c(32,40,20)t(24,40,28)**
t(32,40,28)t(32,24,12)-t(40,48,12)-
s(40,40,20)t(32,40,12)-s(24,24,28)-
s(24,40,20)t(40,32,20)c(32,24,20)*-
c(16,48,12)t(40,40,20)s(24,48,12)++
c(24,40,20)c(40,32,20)s(32,32,20)**
s(32,24,12)s(16,32,20)+c(32,32,28)*
s(32,40,28)s(40,24,28)s(24,24,12)-*
c(16,48,12)s(32,24,28)s(24,32,20)++
s(32,24,20)c(32,32,20)*t(16,24,12)-
s(24,16,20)s(16,32,12)-c(24,24,20)*
c(24,24,20)s(24,40,28)s(32,24,28)**
c(32,32,20)s(40,24,28)*t(40,16,12)-
t(32,32,20)s(24,40,28)t(32,48,28)*+
c(24,32,20)t(32,48,28)s(40,40,28)**
t(32,32,20)c(24,16,12)+t(32,24,20)*
t(32,32,28)s(40,40,20)*c(48,48,12)-
c(32,40,20)s(24,48,20)t(24,40,12)--
s(32,24,28)c(40,40,20)t(24,48,28)--
c(24,32,20)c(40,24,20)s(24,32,12)+-
t(32,24,20)t(24,40,28)+s(40,40,28)*
c(24,32,20)c(24,24,12)-s(24,40,20)*
s(24,32,28)s(8,24,12)-s(48,48,20)-
t(32,32,28)s(24,24,20)-s(48,32,20)+
s(8,40,12)c(40,24,20)s(8,8,12)++
c(40,24,20)t(24,48,28)-c(40,40,20)*
s(8,24,12)t(24,16,12)+t(32,32,28)-
t(48,24,12)s(24,48,20)t(32,40,20)-+
s(48,24,20)s(48,40,20)*s(40,24,20)+
c(24,40,20)s(32,32,20)s(24,32,20)**
s(24,24,28)c(32,48,12)s(16,16,20)+*
t(24,40,28)t(24,32,28)c(24,24,20)**
s(16,48,20)s(32,48,20)+s(40,40,20)*
c(32,24,20)s(32,48,20)-t(40,24,20)*
t(16,32,12)s(48,40,20)c(40,40,20)*+
s(32,40,20)s(32,24,28)*s(24,32,20)*
s(48,48,20)c(32,32,28)*t(40,48,20)+
c(40,32,20)c(40,40,12)t(16,40,12)+*
t(32,56,12)t(24,48,20)s(24,24,20)-+
s(32,40,28)s(48,40,12)-s(24,24,20)*
s(40,40,28)t(24,40,28)*s(16,48,20)-
t(32,40,20)c(24,32,20)*t(40,32,20)+
t(32,40,28)s(40,32,28)*s(32,32,20)*
t(32,24,20)c(48,16,12)t(24,24,20)++
t(40,48,20)t(48,24,12)+s(40,32,28)*
c(24,40,20)s(40,32,20)-s(8,48,12)-
s(40,40,28)s(48,24,12)-t(40,40,12)-
s(48,16,20)c(40,24,20)*t(16,24,12)+
c(48,40,12)t(48,24,12)+s(24,40,28)+
s(40,40,28)t(24,32,28)t(32,32,28)**
t(48,56,12)t(48,48,12)+t(48,32,12)+
s(32,24,28)s(48,24,20)c(40,40,12)+*
c(40,40,20)t(32,32,28)t(48,40,12)-*
t(40,24,20)t(24,40,12)+s(24,32,28)*
t(32,56,12)t(32,40,28)+s(24,24,20)+
s(32,32,28)t(40,32,12)-s(40,40,12)-
c(40,24,20)c(16,24,12)s(48,24,20)+*
s(48,8,12)s(32,32,28)+s(16,24,12)-
c(32,32,20)s(24,40,20)t(24,32,28)**
s(40,40,28)s(48,48,20)*t(40,48,12)-
s(24,40,28)c(24,24,20)*s(16,32,20)*
t(32,24,12)c(48,40,12)c(16,24,12)++
c(24,32,20)c(24,40,20)*t(32,32,28)*
c(16,32,12)s(40,24,20)s(32,32,20)*+
c(40,24,20)s(40,24,12)-s(40,24,20)*
s(40,32,20)s(48,40,20)s(32,48,20)--
c(32,32,28)s(40,32,12)-c(24,40,20)*
s(48,16,12)s(16,24,20)+s(40,24,20)-
c(40,40,20)t(32,48,28)*t(16,48,12)+
t(32,40,20)t(40,32,20)+c(48,40,12)-
t(32,48,28)c(40,24,20)s(32,32,20)*-
s(32,32,28)s(24,24,28)*c(32,40,12)+
s(16,32,12)s(32,24,12)+s(32,24,28)*
s(32,40,20)s(24,24,28)c(16,24,12)--
s(32,32,28)s(40,48,20)s(32,24,12)+-
s(32,40,28)s(16,48,20)t(16,32,12)-*
s(40,24,12)s(24,48,20)c(16,32,12)-+
s(32,32,28)s(48,48,20)-t(32,32,20)*
t(32,40,20)c(40,16,12)+s(40,24,28)*
s(24,48,20)t(24,32,28)+c(32,24,12)-
t(32,40,28)s(48,16,12)t(24,48,28)++
s(16,40,20)s(40,48,20)+t(32,32,28)*
t(24,40,28)s(40,40,20)*t(48,24,12)+
s(16,24,20)c(24,32,12)-c(32,16,12)+
s(48,40,20)s(24,32,28)c(24,32,12)--
s(32,40,20)s(16,40,20)*t(40,40,20)+
s(48,32,20)s(24,40,28)s(32,8,12)+-
s(48,24,20)t(48,16,12)-s(48,16,12)-
t(48,56,12)s(40,24,12)+s(32,16,12)-
s(32,40,28)s(24,32,20)t(24,40,28)*-
s(8,32,12)s(40,48,20)+s(24,48,20)*
t(32,32,20)s(32,32,28)s(40,24,12)-*
c(48,40,12)c(24,24,12)+s(24,24,20)-
t(24,48,20)s(24,24,28)s(40,24,28)*-
c(48,48,12)c(48,32,12)+s(40,24,28)*
s(32,48,20)t(32,32,28)t(32,48,28)*-
t(32,32,28)t(32,40,12)t(24,24,20)++
t(40,56,12)c(40,24,20)+s(40,32,20)*
c(24,32,20)s(24,16,12)s(40,40,20)++
s(40,40,20)c(40,32,12)t(24,32,20)+*
s(24,40,20)t(24,56,12)t(24,48,20)+-
s(8,32,12)c(40,40,20)t(24,16,12)++
s(32,48,20)c(48,48,12)-s(16,48,20)+
s(8,8,12)t(32,32,28)+c(40,24,20)*
c(40,24,20)s(48,16,12)s(16,40,20)+-
s(40,40,20)s(40,32,20)*t(40,24,12)-
t(24,48,28)c(32,48,12)-s(40,32,28)-
c(40,40,20)t(40,40,20)s(16,40,20)--
s(40,16,20)s(32,40,28)-s(40,24,28)*
t(32,48,20)s(24,24,28)+c(32,24,20)-
c(40,40,20)t(40,48,20)-t(48,48,12)+
s(24,32,28)t(32,16,12)-s(24,40,20)-
s(32,40,12)t(40,24,20)c(40,40,12)++
s(40,40,12)s(16,40,20)s(32,40,20)*+
s(24,24,20)s(32,24,12)-s(16,8,12)-
s(24,24,28)c(24,40,20)s(32,8,12)+-
c(40,40,20)c(48,48,12)-t(32,40,28)*
c(24,40,20)s(32,32,20)s(40,32,20)*-
s(40,32,28)t(48,32,12)-c(24,40,20)-
s(32,8,12)c(40,40,20)+c(40,24,12)-
s(32,32,20)s(48,24,20)-c(40,48,12)-
c(40,16,12)s(40,32,20)t(24,24,12)++
t(24,40,28)c(32,32,20)s(24,40,28)**
s(32,32,28)s(32,32,28)s(40,48,20)*-
c(24,24,20)s(32,8,12)t(24,32,20)+-
s(16,48,20)t(24,32,28)s(24,40,28)*-
s(24,48,20)t(24,40,12)-t(24,48,12)-
c(24,40,20)t(24,24,20)+c(40,40,20)-
s(24,48,20)s(32,24,20)c(48,16,12)+-
s(48,32,20)t(40,32,12)-s(32,24,20)+
s(24,32,28)s(40,24,28)s(32,16,20)+-
s(16,24,20)t(40,40,20)s(24,40,28)+*
t(40,32,20)s(48,16,20)t(32,24,12)--
s(48,48,20)s(48,40,20)s(24,24,12)+*
t(48,56,12)t(32,32,28)+s(32,48,20)*
s(16,24,20)t(24,32,28)c(32,24,20)**
s(32,40,20)s(24,32,12)-c(40,48,12)+
c(40,40,20)t(24,32,12)s(40,40,12)+*
s(32,8,12)t(24,24,20)s(32,16,12)-+
c(24,40,20)c(40,40,20)*s(40,24,12)+
c(48,24,12)s(16,24,20)s(24,16,20)-+
c(32,40,20)s(24,32,28)*t(32,40,12)-
s(40,48,20)s(32,32,20)s(24,40,20)*-
c(32,32,20)s(40,16,12)t(32,40,20)+*
t(32,32,28)c(32,32,20)*t(24,32,12)-
s(16,24,20)c(48,24,12)t(24,24,20)++
c(32,40,20)c(16,40,12)+c(24,32,20)-
t(40,32,20)s(40,8,12)+s(40,40,28)*
c(40,32,20)s(32,40,28)c(24,40,12)--
s(40,32,28)t(40,32,12)s(24,24,12)+*
s(24,40,28)s(32,24,28)s(40,40,28)-+
t(40,24,20)s(8,8,12)s(24,32,12)+-
c(24,32,12)s(24,40,20)t(32,40,28)*+
t(24,40,20)s(24,24,12)+s(24,32,12)-
s(24,32,20)s(32,32,20)s(32,40,20)*-
s(48,24,20)s(48,16,20)c(40,24,12)+*
s(24,32,28)t(32,32,28)+c(24,24,20)-
s(24,24,28)s(32,32,12)-c(32,32,20)*
c(24,40,20)s(24,48,20)+s(16,32,20)*
s(16,32,12)t(24,48,28)s(24,40,28)*+
s(16,40,20)s(16,24,20)-c(16,16,12)+
s(32,48,20)c(32,40,20)t(16,16,12)+*
s(40,48,20)c(32,32,20)s(40,40,28)*+
t(32,32,28)c(40,24,20)s(32,40,28)**
c(32,40,20)t(40,48,20)s(16,24,20)+*
s(32,16,20)s(16,24,20)+t(16,32,12)-
t(16,24,12)t(40,40,12)s(40,8,12)++
c(40,24,12)s(16,40,12)+s(40,16,12)-
s(48,32,12)s(24,32,28)t(32,48,28)*+
s(40,24,28)s(24,32,20)t(40,40,12)+-
s(32,32,28)s(32,40,28)s(24,16,12)+*
t(40,48,20)s(48,32,20)c(32,40,20)-+
s(40,24,28)c(32,32,28)*s(24,24,20)*
c(40,32,20)s(40,32,28)t(32,48,28)*-
c(24,24,20)s(32,40,28)t(48,32,12)-*
s(32,24,20)t(24,40,12)s(16,24,20)+-
c(24,32,20)c(24,24,20)t(32,32,20)*-
s(24,32,20)t(24,40,28)s(32,48,20)*-
c(40,40,20)t(32,24,20)-s(40,48,12)-
s(16,48,20)t(24,32,28)t(32,40,28)*+
s(32,24,28)s(16,40,20)+c(24,32,12)-
c(16,24,12)s(40,32,28)+t(40,40,20)-
t(24,32,20)c(48,32,12)s(40,16,12)++
t(32,40,28)s(40,16,20)-c(24,32,12)-
s(24,32,28)c(16,32,12)-c(32,32,28)*
c(24,48,12)s(32,40,28)t(24,32,28)*+
t(32,48,12)t(24,48,28)s(40,40,20)-+
s(32,16,20)s(8,32,12)s(32,32,20)++
c(48,48,12)t(24,40,12)s(48,32,20)++
s(24,24,28)s(16,48,12)s(16,24,20)+*
t(32,24,20)c(32,24,20)s(32,32,20)**
t(24,24,20)c(32,32,12)s(8,32,12)++
c(24,24,20)s(48,48,20)t(24,32,12)++
t(24,32,20)c(16,16,12)+s(24,24,20)*
s(16,40,20)t(24,32,12)-c(24,32,20)*
s(32,40,20)s(40,16,20)c(32,32,20)+*
t(40,32,20)s(24,24,12)+t(32,32,20)*
s(24,40,28)s(32,40,20)s(16,32,20)--
s(32,40,28)t(24,48,28)*t(32,32,28)*
s(24,32,28)t(24,48,28)-s(24,32,20)*
c(32,24,20)t(24,32,28)*t(32,32,28)+
s(16,16,20)c(32,32,20)s(32,40,28)*-
t(24,48,28)c(40,32,20)+s(32,32,12)-
t(32,40,28)c(16,16,12)+s(32,40,20)-
t(32,40,20)t(32,48,20)s(24,24,28)+*
s(32,8,12)s(40,40,20)+s(32,48,20)*
s(48,24,12)s(16,48,12)+t(32,32,28)-
s(24,32,20)t(24,24,20)*s(48,40,20)+
t(24,40,20)s(8,24,12)+s(40,32,20)-
s(32,16,20)s(24,32,20)s(32,24,20)-+
c(40,24,20)s(24,24,20)+s(40,48,12)+
s(48,24,20)s(40,24,20)c(32,16,12)-*
t(48,24,12)s(32,32,28)s(32,32,20)-+
c(40,24,20)c(40,32,20)c(32,40,20)*-
c(24,40,20)t(32,32,28)s(24,16,12)--
s(48,40,20)c(40,40,20)s(40,24,28)**
s(32,40,28)s(40,32,20)*s(32,48,12)+
s(8,32,12)t(32,32,20)s(16,40,12)-+
s(40,32,28)c(24,32,20)*t(16,56,12)+
s(48,48,20)t(24,48,28)s(8,40,12)+-
s(24,40,20)s(32,24,28)t(40,32,12)--
s(40,40,28)c(32,32,20)-t(40,56,12)-
t(24,32,28)s(32,48,12)-s(40,24,28)*
s(24,24,28)s(32,24,28)t(40,24,20)-*
s(16,48,20)c(32,24,20)c(32,40,20)*-
s(32,24,28)s(32,8,12)-c(24,24,20)*
t(32,48,12)c(40,40,20)s(24,24,28)*+
s(48,16,20)s(32,16,20)s(24,48,12)+*
c(32,32,20)s(40,32,20)s(24,48,20)-*
s(24,24,28)t(32,40,28)c(40,40,20)*-
c(40,40,20)c(24,32,20)*s(32,32,20)*
s(24,32,20)t(24,24,20)*t(16,48,12)+
t(40,24,20)s(32,48,20)t(24,48,28)*+
c(24,32,20)s(40,40,20)+t(24,48,28)*
c(40,32,20)s(32,24,28)s(24,24,28)**
s(24,40,20)c(32,32,28)s(24,48,20)**
c(24,24,20)s(40,8,12)s(32,32,12)+-
c(32,40,20)s(24,24,28)*t(40,48,20)-
s(24,16,20)s(40,24,28)s(40,40,28)--
t(40,48,20)t(40,32,12)-t(40,24,12)+
s(24,40,20)s(8,40,12)s(32,48,12)+-
s(24,40,28)c(24,32,20)*c(40,24,20)-
s(40,32,28)s(32,40,12)-t(48,56,12)+
c(40,40,12)s(48,40,12)+t(24,32,20)-
s(32,40,28)t(24,48,28)*c(48,48,12)+
s(24,40,20)c(24,24,20)s(40,32,20)*-
c(32,24,20)c(40,24,20)*c(40,24,12)-
t(24,32,20)s(48,24,12)+c(32,48,12)-
s(32,40,28)c(24,24,12)-s(48,48,20)-
c(24,32,12)c(40,32,20)+t(32,32,12)-
s(40,40,28)s(32,32,28)*s(24,24,28)+
c(40,40,20)t(16,32,12)+s(32,40,28)*
s(24,40,28)t(16,16,12)t(32,32,20)+*
s(40,32,28)s(24,24,20)-c(32,40,12)-
s(32,40,28)c(24,24,12)s(24,48,20)+*
t(32,40,28)s(32,40,28)c(40,32,20)**
t(24,24,20)s(16,24,20)+c(32,32,28)*
s(32,48,20)s(40,32,28)*t(48,40,12)-
c(24,32,20)s(40,24,28)-s(40,32,28)-
s(32,32,20)s(8,16,12)+c(40,32,20)*
t(32,48,28)s(24,40,28)s(32,32,28)**
t(48,24,12)t(24,32,20)c(32,40,12)++
t(32,48,28)s(24,40,20)s(32,40,20)+*
t(24,32,28)t(40,32,20)-s(32,24,20)+
s(32,40,28)s(40,48,20)*c(24,40,12)-
s(40,40,28)t(40,24,20)*s(24,48,12)+
c(40,32,20)s(40,40,28)t(32,48,12)-*
s(24,32,20)s(40,24,28)*s(24,24,20)*
s(48,32,20)c(40,40,20)c(32,32,20)**
t(32,32,28)s(24,32,20)*t(24,48,28)*
c(16,48,12)s(32,40,12)c(24,24,12)++
s(8,24,12)s(48,40,12)+s(8,48,12)+
s(40,48,12)t(40,24,20)+s(8,48,12)+
c(24,40,20)c(16,32,12)t(32,32,20)+*
t(32,40,28)t(40,24,12)t(24,40,20)+*
t(48,24,12)s(24,32,20)t(24,32,12)-+
s(40,24,20)t(48,16,12)-s(16,16,20)-
s(40,24,28)c(48,40,12)-s(8,40,12)+
s(16,48,20)c(16,40,12)-s(48,24,20)+
c(48,48,12)c(24,40,20)+c(24,24,20)*
t(32,48,28)t(32,48,12)-c(40,40,20)*
s(32,48,20)c(16,24,12)+t(40,40,20)+
s(32,24,20)t(24,16,12)-t(40,40,20)-
s(40,24,28)s(24,40,20)t(16,48,12)--
t(32,40,28)s(24,48,12)c(32,48,12)+*
s(32,8,12)c(16,32,12)+c(24,24,20)*
c(40,32,20)t(32,48,28)c(40,40,12)+*
s(32,48,20)s(40,40,28)t(32,32,20)*-
s(32,16,20)s(40,24,20)*c(24,48,12)+
s(16,32,20)s(24,48,20)-t(24,48,28)+
t(24,32,28)s(48,48,20)-s(8,32,12)-
s(24,40,28)t(40,32,20)-s(24,40,20)*
t(32,32,28)s(48,32,20)-s(32,32,20)*
s(24,32,28)s(8,32,12)-s(8,48,12)-
s(48,40,20)t(32,40,28)s(16,48,12)-*
s(40,24,28)t(24,40,28)*c(40,32,12)+
c(40,24,20)s(48,32,20)t(32,48,20)+*
c(24,32,20)t(48,32,12)+s(24,24,20)*
s(24,16,20)s(32,24,12)-c(40,24,20)-
s(32,48,20)s(40,40,20)+t(48,40,12)-
s(16,32,12)c(32,32,12)+s(32,24,20)*
c(32,48,12)s(40,32,20)+t(24,48,12)-
s(48,8,12)s(48,32,20)+c(32,40,20)*
s(16,16,20)c(16,32,12)c(40,40,20)+-
s(32,40,28)t(24,48,20)c(40,32,20)+*
c(48,48,12)s(48,32,12)+t(40,24,20)-
c(32,40,20)s(32,32,28)*s(48,40,20)*
t(32,40,28)s(48,24,20)s(48,40,20)*-
s(40,40,20)t(24,40,28)s(40,24,28)+*
t(24,48,28)c(32,40,20)s(32,48,12)--
c(32,32,20)s(24,40,12)-t(32,24,20)*
s(48,48,20)s(48,32,20)s(48,16,20)-*
c(32,32,28)c(16,16,12)-s(40,16,20)-
t(40,48,20)c(16,32,12)+t(24,48,12)+
c(32,24,12)c(16,16,12)+s(40,40,12)+
c(40,40,20)s(40,24,20)s(32,32,28)+*
c(40,24,20)s(24,16,12)c(40,32,12)+*
t(32,48,28)c(24,40,20)t(24,48,28)**
s(24,24,20)s(32,32,20)*s(40,16,12)-
s(40,40,20)t(48,32,12)-t(32,56,12)-
t(24,48,20)s(24,48,20)t(16,32,12)-*
c(32,32,20)s(48,40,12)+t(24,32,28)*
t(32,40,20)t(24,40,28)c(40,40,20)**
s(32,24,20)s(40,24,28)c(32,40,20)*-
c(32,24,20)t(24,32,12)s(16,16,20)+*
s(40,40,28)t(32,56,12)s(24,32,28)+-
s(40,24,28)c(32,40,20)*s(32,24,12)-
s(32,40,20)s(32,32,28)c(24,32,20)**
s(16,24,20)c(24,24,12)t(16,40,12)+*
s(40,24,20)t(16,56,12)+s(24,24,28)*
s(32,40,28)s(16,16,20)-c(24,24,20)*
t(32,48,28)s(16,40,20)-c(32,24,12)-
s(32,48,20)s(32,40,28)s(48,32,20)-*
t(16,32,12)t(40,32,20)+c(24,24,12)-
s(32,24,20)s(32,32,28)s(24,40,28)**
s(40,40,28)s(24,32,28)-c(40,32,20)*
s(24,24,28)t(24,32,28)c(32,32,20)**
s(24,24,20)s(24,40,28)*s(32,24,20)*
s(32,32,20)c(24,40,20)*s(40,40,12)+
s(32,40,20)s(40,48,12)s(16,32,20)+*
s(32,24,20)t(24,32,28)s(40,24,28)*-
t(40,24,20)c(24,16,12)+s(32,24,20)*
t(32,48,28)s(32,32,12)-s(40,40,20)-
t(24,32,28)c(24,40,20)*s(32,32,20)*
s(32,40,28)s(24,24,20)c(32,48,12)+*
s(24,16,20)c(40,32,12)s(40,40,12)++
t(48,24,12)t(40,48,20)+s(24,24,28)+
s(40,32,28)c(24,24,20)-s(32,32,28)*
t(32,32,28)s(40,32,20)c(32,24,12)+*
s(40,24,28)s(24,24,12)-s(40,16,20)*
c(32,48,12)t(32,24,12)+c(40,40,20)*
t(32,16,12)c(40,40,12)+c(40,32,12)+
s(48,40,20)t(40,40,20)s(32,8,12)+*
t(48,24,12)t(24,32,28)+s(24,24,28)*
t(32,32,28)t(24,32,28)s(48,40,20)--
t(40,24,20)t(32,32,28)s(32,24,28)*+
c(24,40,20)s(40,32,20)c(24,24,20)*-
s(40,40,28)c(32,24,20)*c(24,48,12)-
s(24,40,20)s(32,24,20)s(32,48,20)+*
t(24,32,28)s(40,24,28)*s(24,40,12)+
s(32,32,12)s(16,32,20)c(32,32,20)*+
c(32,24,20)t(24,24,20)s(16,24,20)*-
c(24,32,20)c(16,16,12)-c(32,32,20)*
s(40,40,28)s(32,16,20)s(16,24,20)-+
s(48,32,20)t(32,32,28)t(32,48,28)+*
t(40,32,20)s(16,24,20)s(24,40,28)*+
s(40,48,20)t(24,48,12)-t(40,40,20)+
s(32,16,20)c(24,40,20)-t(32,48,28)+
s(40,40,28)c(32,32,20)s(24,40,20)**
s(32,24,20)s(32,40,12)-t(48,24,12)-
t(32,40,20)s(24,40,28)t(16,40,12)-*
s(24,32,28)s(24,48,20)c(32,16,12)+-
c(40,24,20)c(40,40,20)s(16,32,20)--
c(40,24,12)t(24,56,12)+c(24,24,12)-
t(40,48,20)s(24,40,12)+t(32,40,20)*
s(24,24,20)s(24,16,20)t(24,24,12)-*
c(24,40,20)s(40,40,12)c(24,40,12)+-
t(32,32,28)t(24,32,28)*t(24,24,12)-
s(40,24,28)t(24,32,20)+c(24,40,20)*
t(40,24,12)c(16,16,12)c(40,48,12)++
s(40,24,28)s(16,40,20)-c(16,24,12)+
s(48,16,20)s(40,16,20)c(40,40,20)-*
c(32,32,20)c(16,32,12)+c(48,40,12)-
t(40,16,12)s(16,32,20)+s(16,16,20)+
t(32,32,28)c(48,48,12)-t(32,40,28)+
c(32,48,12)t(24,32,28)t(32,48,20)-+
s(48,24,20)s(32,24,28)*s(16,24,12)+
t(24,24,20)s(24,32,20)*t(48,56,12)+
s(24,32,28)s(16,16,20)s(32,24,28)*-
s(40,32,20)s(24,40,28)*t(24,32,12)-
s(40,16,20)c(32,32,20)t(24,48,28)+*
t(24,32,20)s(24,8,12)+c(32,40,12)+
c(24,24,20)s(32,16,20)c(32,24,12)--
s(40,24,12)t(32,56,12)s(24,32,20)++
s(40,32,20)s(40,48,12)s(24,48,12)++
t(24,32,28)t(32,32,28)s(24,32,28)**
s(40,48,20)t(48,56,12)t(24,40,28)+*
t(24,32,28)c(40,32,20)*c(24,16,12)-
s(24,40,28)c(32,40,12)t(24,56,12)+-
s(32,24,12)c(40,40,20)+t(32,48,12)-
t(32,16,12)c(40,24,12)+s(40,32,20)*
s(40,40,28)s(40,16,20)+s(16,48,20)-
c(32,16,12)s(40,24,28)s(16,24,20)-+
s(16,24,20)s(24,24,20)s(40,40,28)-*
t(40,24,20)s(16,40,12)s(24,32,12)+-
s(24,32,12)s(24,40,28)s(40,40,20)*+
s(24,32,28)s(40,24,20)*c(24,40,20)+
t(40,24,20)t(32,48,20)+s(24,32,28)*
s(32,32,28)s(24,32,20)-s(48,48,12)-
t(32,40,12)t(40,32,20)+s(32,48,20)+
c(40,24,20)s(40,40,20)s(16,48,20)-*
s(24,40,28)c(32,32,20)t(32,16,12)--
s(48,16,20)s(48,32,20)s(32,40,12)-*
t(24,40,20)t(32,32,20)+t(40,24,20)-
s(24,40,28)s(16,16,20)s(24,48,12)+*
s(24,8,12)t(32,32,20)+s(16,8,12)+
t(16,56,12)c(40,40,20)s(40,24,20)*+
s(32,24,28)c(16,48,12)c(32,32,20)+*
s(24,40,28)s(32,24,12)-s(40,24,20)-
t(40,24,12)t(48,32,12)t(32,48,28)++
c(48,32,12)s(48,48,12)+c(40,32,20)*
s(40,40,28)t(32,24,20)-c(32,32,20)*
c(48,40,12)t(40,32,20)+c(32,24,20)+
s(32,16,20)s(16,16,12)-s(24,40,28)+
c(16,24,12)s(48,32,20)s(48,40,20)*+
s(24,48,20)s(16,32,12)-t(40,40,20)+
s(40,32,20)s(32,16,12)-t(24,32,12)-
c(48,32,12)t(32,48,28)c(24,40,12)++
t(24,24,20)s(8,32,12)+s(16,16,20)*
s(24,32,28)c(40,40,20)t(32,48,12)--
s(32,16,20)t(32,32,20)-c(16,16,12)-
c(40,24,20)c(32,40,20)c(40,32,20)+*
t(32,40,28)s(16,16,20)t(24,48,28)+*
c(40,24,20)s(24,24,28)*c(32,32,20)*
c(32,32,20)t(32,48,28)s(32,40,12)--
s(40,32,28)s(40,24,20)t(16,56,12)+*
c(24,48,12)t(40,40,20)+s(32,24,28)*
s(32,40,28)t(48,40,12)-s(40,40,28)*
c(16,40,12)s(40,40,20)c(32,32,12)-+
t(32,48,28)s(24,16,12)c(40,40,20)+*
t(24,48,20)s(48,48,20)t(40,32,12)--
s(16,16,20)s(32,32,20)+s(32,40,20)*
s(24,40,28)s(32,48,20)*t(24,48,28)*
s(40,24,28)s(16,32,20)s(24,48,20)--
s(40,32,28)s(24,32,28)s(24,40,28)**
s(40,40,20)s(40,48,20)s(24,40,28)**
c(32,24,20)s(48,48,20)-s(40,40,20)-
t(16,16,12)t(32,24,12)+t(40,32,12)+
s(24,24,20)c(32,40,20)s(32,24,20)*+
s(48,48,20)s(40,32,28)c(32,24,20)*-
c(16,24,12)s(32,8,12)s(8,16,12)++
c(40,40,12)c(24,32,20)t(32,40,28)-+
s(32,32,28)s(48,32,20)*t(32,32,28)*
s(24,24,28)s(48,48,12)s(32,32,20)+*
t(24,48,20)t(24,40,28)s(40,48,20)+*
s(32,48,20)t(24,32,28)c(24,24,20)*-
s(32,24,28)s(40,24,20)-s(16,48,20)-
s(24,32,28)s(24,40,28)*t(32,24,20)+
s(32,32,28)t(24,48,20)-c(16,16,12)-
t(24,32,28)s(16,40,12)s(24,16,20)+*
c(24,40,20)c(32,24,20)-t(32,32,28)-
s(48,32,20)s(32,40,12)+t(24,16,12)+
c(24,24,20)s(40,16,12)-t(32,32,28)*
t(32,40,28)s(40,32,12)-s(40,16,20)+
s(48,16,20)t(40,40,12)+c(48,40,12)-
s(32,40,20)t(32,40,20)t(24,32,28)+*
s(32,16,20)s(32,32,28)t(16,40,12)-*
t(40,24,20)t(48,24,12)+s(40,40,28)*
s(16,24,20)s(48,40,12)s(32,24,20)+*
t(24,24,20)s(40,32,28)+s(40,48,20)*
s(32,40,28)s(32,40,12)-s(40,24,28)+
s(24,40,28)s(16,40,20)-s(24,24,12)-
c(40,24,12)t(32,32,20)+t(24,48,12)+
s(48,24,12)c(32,40,20)+s(24,48,20)*
s(32,24,28)s(24,40,28)*t(24,24,20)+
s(48,16,20)s(24,32,28)s(40,24,20)*+
s(24,24,28)s(40,24,20)*s(48,32,12)-
s(32,24,28)c(24,24,12)t(32,40,20)+*
t(16,16,12)s(8,24,12)t(16,56,12)++
t(32,40,28)t(40,48,20)s(8,24,12)+-
t(24,32,20)c(48,16,12)+t(32,48,20)-
s(24,48,20)s(32,48,20)*c(16,48,12)+
s(32,24,28)c(40,32,20)t(32,48,20)-*
s(16,48,12)t(32,32,12)+s(32,40,28)*
s(32,32,28)s(40,32,28)*c(40,40,20)*
s(40,32,28)t(24,24,20)+s(24,24,28)*
s(24,24,28)c(32,40,20)*s(32,40,20)*
t(32,32,28)t(24,32,28)*c(16,16,12)+
c(40,40,20)s(32,32,20)*c(16,48,12)+
c(24,24,20)c(32,40,20)*s(48,40,20)+
s(32,24,28)s(24,16,12)c(16,24,12)+*
c(32,32,28)t(32,56,12)s(8,24,12)+-
t(24,16,12)s(40,40,20)t(24,24,12)++
s(48,40,20)c(48,16,12)+t(40,40,20)*
c(24,32,20)s(24,32,28)t(24,24,12)-*
t(32,40,28)t(32,32,28)c(24,24,20)**
t(48,48,12)s(32,24,20)+s(8,40,12)+
s(40,40,20)s(24,32,28)t(32,24,12)-+
s(24,32,12)s(24,48,20)+c(40,40,20)*
s(32,32,28)c(24,40,20)s(16,8,12)+*
s(48,32,20)s(40,40,28)s(48,48,20)*+
t(48,40,12)s(24,24,28)t(32,40,28)-+
s(40,40,28)t(24,24,20)s(24,32,20)+*
s(32,24,20)s(24,40,20)-t(48,24,12)-
t(24,48,28)s(24,24,20)-t(24,40,28)*
s(48,24,20)t(40,32,12)-t(32,48,20)+
t(24,40,28)t(24,48,28)t(32,48,28)**
s(24,32,20)t(32,56,12)c(24,32,12)+*
t(32,16,12)s(40,40,12)+s(8,32,12)+
t(32,32,28)s(40,40,20)c(32,32,20)**
c(16,48,12)s(48,16,20)+s(8,40,12)+
s(24,32,28)s(48,40,20)-t(24,48,20)-
t(32,32,28)t(40,40,20)t(24,16,12)+-
c(40,24,12)s(32,40,20)t(24,40,20)*+
s(48,24,12)t(24,32,20)+t(40,24,12)-
s(16,40,20)t(32,32,28)+s(24,48,20)*
t(32,40,28)c(32,40,20)t(16,40,12)-*
s(48,48,20)c(32,40,20)c(24,24,12)+*
c(24,24,20)t(40,40,20)-s(40,32,28)*
s(32,8,12)s(32,48,20)c(24,16,12)++
c(24,24,20)t(32,40,20)-s(16,16,20)*
s(16,32,20)t(24,24,20)c(16,48,12)++
s(16,24,20)t(16,24,12)-s(24,32,12)-
s(24,40,20)s(32,32,20)s(48,8,12)+*
c(16,40,12)s(16,24,20)+t(24,32,20)*
t(32,40,28)t(32,40,20)t(40,40,12)--
s(32,40,28)c(40,24,12)c(32,48,12)+*
t(24,32,28)s(32,24,20)*c(48,32,12)+
c(16,24,12)s(24,40,20)+t(24,24,20)*
t(48,16,12)c(40,40,20)s(24,32,28)*+
c(24,32,20)t(24,32,12)-c(32,40,20)*
s(24,32,20)s(40,40,20)+c(32,32,20)*
s(32,24,28)s(32,16,20)c(32,40,20)--
c(32,40,20)s(40,48,20)*c(32,32,20)*
t(16,48,12)s(16,16,20)s(24,16,20)*+
s(40,40,12)t(16,32,12)+s(8,24,12)-
s(32,16,20)s(16,16,20)c(40,24,12)+*
t(40,48,20)c(24,48,12)-s(24,32,20)+
t(32,48,28)s(24,32,12)-t(40,56,12)-
s(24,32,12)t(24,24,12)+s(40,8,12)+
s(32,24,20)s(16,32,20)+s(8,40,12)-
s(32,32,20)c(32,40,20)*c(32,16,12)+
s(48,48,12)t(24,40,28)s(16,40,20)*+
s(16,40,20)s(16,16,20)t(40,40,20)+-
c(24,24,12)c(24,40,20)s(40,32,28)-+
s(24,24,20)s(24,32,20)+t(32,32,28)*
c(32,16,12)s(8,8,12)+s(24,24,12)-
s(32,40,28)s(24,24,28)*s(24,32,12)-
s(32,24,28)s(24,16,20)s(32,24,12)-*
t(24,40,28)t(32,40,28)*t(32,32,28)*
s(32,48,20)s(32,40,12)-t(48,48,12)-
s(24,40,20)c(24,24,20)*s(32,24,20)+
s(48,24,20)t(24,40,20)+s(32,48,20)*
c(16,32,12)s(40,24,20)+s(8,32,12)-
s(48,32,20)s(40,48,12)-c(40,32,20)*
s(40,24,20)t(32,24,20)t(24,48,28)+*
c(48,24,12)c(32,40,20)t(32,32,28)*+
s(32,24,28)s(40,40,20)t(40,32,20)*-
s(24,40,28)s(16,24,12)-t(24,48,28)*
t(32,32,28)s(24,40,28)t(24,32,12)-*
s(32,16,20)s(24,32,28)s(16,40,20)-*
s(32,24,28)s(24,32,12)-s(40,40,20)-
s(16,16,20)s(24,32,28)*c(32,40,20)+
s(40,24,20)t(24,24,20)s(40,32,12)--
c(40,40,20)s(48,32,20)*s(24,8,12)+
t(24,40,28)s(16,48,20)*s(8,32,12)-
s(24,32,28)s(32,40,28)c(24,40,20)**
s(16,8,12)s(40,16,20)t(48,16,12)-+
s(40,40,12)s(16,40,12)+t(40,32,12)-
s(24,32,28)s(24,40,28)t(24,32,28)*-
t(32,40,28)t(24,40,28)t(48,24,12)+*
c(24,40,20)s(16,40,20)s(24,32,28)*-
t(24,40,20)c(40,16,12)+s(24,40,20)*
s(32,40,20)c(32,32,20)s(24,32,20)**
c(40,32,12)s(40,48,20)+s(48,16,20)+
s(16,40,20)s(24,40,12)-c(24,48,12)-
c(40,40,20)c(24,48,12)s(8,24,12)+-
s(32,48,12)c(24,48,12)+t(32,32,28)+
c(32,40,20)s(32,32,12)-s(24,32,28)*
t(24,48,12)c(48,24,12)+t(24,48,20)-
s(8,40,12)s(16,32,12)+s(40,40,28)+
s(48,48,20)t(40,48,20)t(16,16,12)+*
s(32,48,12)s(32,32,12)s(48,16,12)++
t(48,16,12)s(32,48,12)t(16,56,12)++
s(24,24,20)s(32,32,28)c(16,48,12)-*
s(24,40,20)s(40,40,28)c(24,24,20)*-
c(40,24,20)s(24,32,20)s(16,48,12)-+
s(32,40,20)t(48,40,12)+c(24,48,12)-
t(32,48,28)t(48,24,12)s(24,40,12)++
s(48,16,20)s(32,16,12)-t(48,32,12)+
t(24,40,28)t(40,24,20)-t(24,32,20)-
c(48,48,12)t(32,24,12)+c(40,24,12)-
s(48,24,20)s(40,40,28)t(48,48,12)-*
s(16,16,20)s(16,48,20)+c(24,40,20)*
t(40,32,20)t(48,16,12)t(32,40,20)++
t(16,56,12)t(40,32,12)t(32,24,12)++
s(48,32,20)t(40,32,20)+s(32,40,20)-
c(24,32,20)c(32,24,20)s(40,48,20)-*
t(40,48,20)c(40,32,20)t(32,40,28)-+
c(32,32,20)s(16,48,20)-s(48,40,20)-
s(24,32,28)t(16,16,12)-c(40,24,20)*
c(32,32,28)c(40,32,12)c(48,40,12)+-
c(40,32,20)s(48,40,12)-c(32,24,20)*
s(40,16,20)s(40,32,28)c(24,24,20)*-
s(24,48,12)c(40,40,20)t(32,32,20)-+
s(24,40,20)s(24,16,20)s(40,8,12)--
c(24,32,20)t(32,32,20)s(24,48,12)--
t(40,48,12)t(32,32,28)s(24,40,20)*+
s(48,24,12)c(16,40,12)+s(16,24,20)-
s(16,24,12)s(48,40,12)+t(48,40,12)-
s(48,48,12)c(40,40,12)t(16,56,12)++
s(40,16,20)s(40,24,28)s(24,16,20)*+
s(40,40,20)s(24,48,12)-s(40,24,28)*
s(48,24,12)s(8,40,12)t(24,16,12)++
s(24,8,12)c(24,32,12)+s(16,40,20)-
s(40,32,28)t(32,32,28)*s(40,32,20)*
c(40,16,12)c(24,32,12)+s(40,24,20)*
t(32,48,28)c(24,48,12)-s(48,48,20)*
s(40,24,28)s(24,32,12)s(48,48,20)++
s(16,16,20)s(32,16,20)s(40,24,28)*-
s(32,32,20)t(40,48,20)c(24,24,20)+*
c(32,40,20)c(40,24,12)t(32,48,12)++
c(24,40,20)t(40,24,20)-c(24,16,12)+
c(48,16,12)t(24,40,20)+t(24,32,28)*
t(40,32,20)t(32,40,28)s(24,24,28)+*
t(32,32,28)s(40,16,12)t(16,40,12)++
c(32,40,20)s(16,48,20)c(32,40,12)+*
t(24,24,20)c(32,32,28)c(32,32,20)--
s(40,40,20)s(16,48,20)t(32,48,28)*-
t(32,40,28)s(24,32,28)*s(32,24,20)*
t(32,24,20)s(24,32,20)s(24,24,12)-+
c(32,24,20)s(40,8,12)-c(24,24,20)*
s(40,32,20)s(32,32,28)s(40,24,28)-+
s(32,24,28)s(24,24,28)s(24,40,12)-+
c(32,32,28)s(16,32,12)-s(48,24,20)*
s(24,24,28)c(24,40,20)+s(24,48,20)-
s(32,48,20)s(48,16,20)c(24,40,12)++
t(32,40,28)s(32,8,12)s(16,24,20)+-
s(24,40,28)s(24,32,12)-c(32,32,28)*
s(16,48,20)c(40,32,20)t(32,40,20)*-
t(16,40,12)s(32,32,20)+t(48,40,12)+
t(48,48,12)t(24,32,12)+c(40,32,12)+
t(24,40,28)c(24,32,20)c(40,40,12)+*
s(48,24,20)s(40,32,20)c(40,40,12)--
t(24,48,28)t(32,48,20)t(48,24,12)+*
c(24,40,20)s(16,40,20)t(32,24,20)-*
s(16,24,20)s(40,40,28)s(40,32,12)--
s(24,40,28)t(24,48,28)s(40,8,12)+*
t(32,32,28)c(24,24,12)t(24,40,28)+*
s(24,32,20)c(32,40,20)*s(48,48,20)-
s(32,24,28)s(32,40,28)*t(40,48,20)+
s(16,32,20)s(24,24,20)c(32,24,20)+*
s(16,24,20)s(16,32,20)*t(48,16,12)+
s(32,24,28)s(32,40,28)+c(40,32,20)*
s(32,48,20)s(24,16,20)+s(24,40,20)+
c(40,40,20)s(48,40,20)t(24,48,28)-*
s(48,16,12)s(40,48,12)+s(32,48,12)+
s(32,24,20)s(32,48,20)-t(24,32,20)-
t(24,32,28)t(32,32,28)+s(48,48,12)+
s(32,40,20)t(32,24,12)+s(40,48,12)-
s(16,24,20)t(32,40,28)s(40,40,20)+-
c(40,24,20)c(40,16,12)-s(24,24,28)*
c(24,24,12)c(16,40,12)t(32,24,20)++
s(32,40,20)s(32,32,12)t(48,40,12)+-
s(24,16,12)t(32,32,28)+t(32,16,12)-
s(16,32,20)s(40,32,20)c(40,24,20)*-
s(40,32,28)c(24,32,20)*t(32,48,28)*
s(16,24,20)c(32,24,20)s(40,40,28)*-
t(32,48,28)t(48,56,12)s(24,24,12)+-
s(40,40,28)s(16,48,20)-t(40,32,20)-
c(24,40,20)s(24,32,20)t(32,24,20)+-
c(40,16,12)s(40,48,20)c(24,40,12)++
t(24,40,28)s(48,16,20)+s(16,48,20)-
t(48,16,12)c(32,24,12)+c(40,24,12)+
s(40,24,20)c(16,24,12)s(40,48,20)+-
s(32,40,12)s(48,16,12)+t(32,24,12)+
s(40,40,28)c(24,24,20)s(24,32,28)**
s(24,32,20)s(32,48,20)-s(24,24,20)*
s(8,32,12)c(16,40,12)+s(24,48,20)+
t(32,48,28)c(32,40,20)s(40,24,28)*-
c(24,24,20)c(24,32,20)s(16,48,12)-*
c(24,24,20)s(32,8,12)-t(32,56,12)+
s(40,24,28)s(24,24,28)t(24,40,28)**
s(40,24,28)s(40,24,20)s(16,16,20)+*
t(40,24,12)s(48,32,12)t(48,56,12)++
s(24,16,12)s(8,16,12)+s(32,40,28)-
c(24,40,12)s(40,24,12)+s(24,40,20)*
s(32,32,20)t(48,16,12)+s(32,40,12)-
s(40,48,12)s(16,32,20)s(24,16,20)-+
c(24,40,12)c(40,32,20)+c(32,32,20)*
s(40,16,20)s(32,16,20)s(32,32,12)-*
t(32,40,28)c(16,32,12)-t(32,32,20)*
s(32,40,20)s(24,32,20)*t(16,32,12)+
s(16,8,12)s(40,24,28)+s(32,40,28)*
c(24,40,20)c(40,40,20)c(24,40,12)+-
t(24,40,28)s(48,40,12)+s(24,24,20)+
s(24,16,12)c(40,32,20)+s(40,48,20)-
c(40,24,20)t(24,24,20)-c(48,16,12)-
s(40,24,28)t(40,40,20)+s(40,24,12)-
c(40,32,20)s(24,48,20)+c(24,24,20)*
s(16,16,20)s(32,16,12)-s(8,40,12)+
c(24,32,20)c(24,32,12)-t(40,24,20)-
t(24,32,28)t(32,40,20)*s(16,40,12)+
s(24,48,20)s(16,32,12)c(24,48,12)+*
s(40,40,28)s(48,40,20)c(40,32,12)-*
s(48,32,12)s(32,32,20)+c(24,24,20)*
t(32,48,28)s(24,40,20)t(40,24,20)-+
s(48,16,12)t(40,40,20)+s(48,40,20)*
s(40,48,12)t(24,24,20)+s(32,40,20)+
s(48,16,20)s(24,16,12)s(48,32,20)+*
c(24,40,20)c(32,32,20)s(40,32,28)**
c(40,40,20)c(24,40,20)*t(40,48,12)-
s(40,24,20)s(48,40,12)-s(48,24,20)+
s(32,24,28)c(16,32,12)-s(32,32,28)*
s(32,32,28)c(32,24,20)*c(24,32,20)*
s(32,32,20)s(40,24,28)*s(32,40,28)*
c(24,24,20)s(32,8,12)s(16,48,12)+-
c(24,24,12)t(48,56,12)+t(40,32,12)+
s(40,32,28)s(8,32,12)+t(32,32,28)-
s(40,32,28)s(8,16,12)t(32,24,20)+*
t(16,56,12)t(40,40,20)+t(32,56,12)+
t(32,40,20)t(24,40,12)s(24,16,12)++
c(24,32,20)s(32,32,28)*s(16,32,12)-
s(48,24,20)c(32,24,20)s(40,40,12)+*
s(16,8,12)t(24,48,12)+t(32,32,20)+
s(32,32,28)s(40,48,20)-s(32,32,12)-
s(40,48,20)s(16,40,20)t(16,48,12)--
t(24,40,20)s(8,24,12)+s(24,48,20)-
s(32,32,28)c(40,48,12)-s(40,40,20)*
c(40,16,12)t(40,48,20)+t(32,32,20)-
s(48,40,20)c(40,24,12)-t(32,48,28)+
c(32,32,20)s(32,24,28)*t(48,24,12)-
s(40,24,28)c(16,16,12)+s(32,40,20)*
s(16,48,20)c(32,32,20)s(32,40,20)*-
s(32,16,20)c(24,24,20)*s(40,16,20)*
s(24,32,28)s(16,48,12)-c(16,24,12)-
s(40,24,20)c(40,32,20)c(48,48,12)-*
c(32,32,20)s(24,40,12)-c(32,32,12)-
c(24,32,20)c(48,40,12)s(48,16,20)+-
s(40,32,28)t(48,48,12)t(32,40,20)+*
c(24,40,20)s(40,40,28)*c(16,32,12)-
c(40,40,20)c(40,24,12)s(32,48,20)++
s(24,24,28)t(32,32,28)*s(16,24,20)-
s(40,24,28)s(48,32,20)-t(24,40,20)-
c(32,24,20)t(24,16,12)-t(32,32,12)-
s(16,24,20)t(32,32,28)c(40,48,12)-+
s(40,32,28)s(24,32,28)s(16,16,12)-*
s(40,32,12)s(16,40,20)+c(24,48,12)-
s(16,16,12)s(40,32,20)s(40,16,20)-+
t(32,48,20)c(40,40,20)t(32,48,28)**
s(32,40,28)s(16,40,20)s(24,32,28)**
s(32,32,20)s(24,40,28)*t(32,40,12)-
s(32,32,20)t(24,48,12)c(32,40,12)+-
s(24,40,20)s(48,48,20)t(48,56,12)--
t(24,40,20)c(24,40,20)s(16,40,20)**
c(32,40,20)s(48,48,20)t(40,56,12)--
s(48,24,20)c(40,32,12)-s(48,40,20)-
c(24,32,20)s(16,40,12)-t(32,32,12)-
s(24,32,28)c(40,24,20)*t(32,40,28)*
s(32,40,28)t(24,48,28)s(8,32,12)+*
s(32,32,28)s(48,40,20)c(40,40,20)**
t(32,40,20)s(24,24,28)t(24,48,28)+*
s(40,40,20)c(40,24,20)t(16,48,12)+*
t(24,32,20)s(8,48,12)+s(40,40,12)-
s(40,32,20)c(24,48,12)s(16,40,12)++
c(32,40,12)s(16,32,20)t(24,16,12)-+
c(32,24,20)t(40,40,12)-t(32,32,28)*
s(40,48,20)t(32,32,28)s(32,40,28)*+
s(24,32,20)c(32,32,20)s(32,40,12)--
s(32,40,28)t(32,32,28)*s(32,24,20)*
c(40,24,20)c(40,32,20)*s(40,16,12)-
t(32,48,28)s(40,48,12)-s(16,32,20)-
c(16,16,12)c(24,24,20)s(32,24,28)*+
c(40,16,12)s(40,24,28)s(24,24,20)-+
s(32,40,28)c(40,24,20)t(48,48,12)+*
c(40,40,20)s(48,24,12)t(32,40,20)+*
t(24,32,28)s(48,32,20)+t(32,56,12)+
t(32,32,28)c(24,40,20)*t(40,56,12)+
c(40,32,20)t(32,40,28)*c(40,32,12)+
c(32,32,20)c(32,16,12)s(48,48,20)+*
s(40,32,20)t(48,32,12)-t(40,56,12)+
s(8,8,12)c(32,24,20)+c(40,40,20)-
c(32,48,12)s(32,24,28)t(24,24,20)-+
s(24,16,20)s(32,16,20)t(32,16,12)-*
s(24,24,20)c(40,32,20)-s(16,16,20)+
c(32,32,20)t(24,24,20)*t(32,32,20)+
c(40,40,20)s(40,32,28)c(32,40,20)**
t(24,40,28)s(24,32,28)*s(32,24,28)*
t(24,48,20)c(40,40,20)s(40,32,20)*-
t(32,40,28)c(32,40,20)c(48,48,12)-*
t(40,56,12)s(40,24,12)t(16,24,12)++
c(24,32,20)s(24,40,28)s(16,32,20)-*
t(32,40,20)s(32,16,20)s(40,32,28)*-
t(48,40,12)s(16,32,20)s(24,40,12)-+
s(40,32,28)t(40,32,12)c(48,16,12)+*
s(32,40,28)s(32,32,28)*c(40,40,20)*
s(48,24,20)s(32,40,20)s(24,40,20)*+
t(24,48,28)t(24,40,20)t(48,32,12)+-
t(24,48,28)t(32,48,28)t(32,40,28)*-
s(24,40,20)s(16,48,20)s(32,48,20)*-
s(40,40,28)s(40,24,12)t(24,24,12)++
s(48,48,20)s(24,48,20)+s(24,8,12)+
s(16,40,20)s(24,32,28)s(24,48,20)**
t(32,32,28)s(32,48,12)-s(32,16,20)*
s(48,40,12)s(24,48,20)s(32,16,12)++
t(24,40,28)s(24,24,12)-t(16,48,12)-
c(40,40,20)t(32,32,28)t(24,40,20)*+
s(32,32,28)s(32,16,20)*c(24,24,20)*
s(24,40,28)t(16,24,12)-s(32,24,20)*
s(40,32,20)s(24,40,12)-t(40,32,12)-
s(16,48,12)c(40,40,12)s(40,24,12)++
s(32,24,28)c(24,40,20)t(40,16,12)+*
s(32,24,28)s(16,40,12)s(32,32,20)+*
s(24,40,20)s(32,40,28)t(24,40,28)**
s(16,32,20)s(24,32,20)t(32,32,28)*-
s(24,32,28)t(24,24,20)t(32,16,12)+*
c(24,24,20)s(48,16,20)-s(32,8,12)-
t(32,48,20)c(24,24,20)c(32,24,20)+-
s(40,24,20)c(32,32,12)s(40,48,20)+-
c(16,48,12)s(32,48,20)c(24,48,12)-+
c(32,16,12)c(24,40,20)c(32,40,20)*+
s(16,40,20)c(48,48,12)+s(32,40,28)*
s(48,24,20)t(32,24,20)+c(40,40,20)*
s(40,8,12)s(16,48,20)+t(32,40,12)+
t(24,16,12)s(32,40,20)+c(32,32,20)*
s(32,32,28)t(48,32,12)-s(32,16,20)-
s(40,32,28)c(40,40,20)t(24,40,20)+-
c(24,16,12)s(40,16,20)+s(32,32,12)-
c(16,40,12)t(24,16,12)s(40,40,12)++
s(32,16,20)s(40,16,20)*s(24,40,20)-
t(32,40,28)c(32,24,12)s(16,40,20)+*
t(24,40,20)s(40,24,28)t(32,24,20)--
t(32,48,20)s(32,8,12)+s(40,32,28)-
s(16,48,20)t(48,32,12)+c(24,40,12)-
s(16,24,20)s(24,32,28)*s(8,32,12)-
s(48,16,20)c(32,32,28)s(40,16,20)**
c(32,24,20)s(40,16,20)t(32,24,20)+*
s(24,32,20)s(40,16,12)t(24,48,20)+-
t(24,48,20)s(24,40,20)+c(24,24,12)-
c(24,32,20)s(32,24,28)*t(24,16,12)-
c(24,40,20)c(32,40,12)s(40,40,12)+-
c(40,32,20)s(32,32,28)*s(40,32,20)*
c(32,32,28)t(24,24,20)-c(40,32,20)*
c(24,24,20)s(16,40,12)-s(8,16,12)+
s(32,40,28)s(40,24,28)c(48,16,12)-*
s(40,48,12)t(32,48,12)+c(40,16,12)+
t(40,40,20)t(32,32,12)-t(24,40,20)+
c(24,40,20)s(32,40,28)*s(32,24,20)*
t(32,56,12)s(48,48,12)t(16,56,12)++
s(40,16,20)c(40,24,20)*s(24,24,12)-
s(32,48,20)s(24,32,20)c(32,32,20)+*
c(24,40,20)c(32,40,12)-c(24,32,20)*
s(48,48,20)s(32,32,20)c(40,24,20)*-
s(8,32,12)c(32,24,20)c(32,32,20)*+
s(24,32,20)t(16,48,12)c(24,16,12)++
c(32,40,20)s(40,32,12)c(48,48,12)+-
s(32,32,20)s(32,8,12)c(40,24,20)+*
c(32,24,20)s(40,32,20)t(32,16,12)--
c(32,32,28)c(32,24,20)-s(16,40,20)*
t(32,48,20)c(40,24,12)+s(32,48,20)*
c(40,32,20)s(16,32,12)+c(24,16,12)+
t(48,48,12)s(48,16,20)t(16,56,12)++
s(32,16,20)t(32,48,28)s(32,32,20)+*
s(24,32,20)t(40,24,20)-s(40,40,12)-
s(32,40,28)s(24,32,28)*t(32,32,20)*
c(40,32,20)s(48,32,20)*t(24,24,12)+
s(40,24,20)c(40,24,20)c(40,40,20)**
s(16,32,12)s(16,48,12)t(40,24,12)++
c(24,24,20)t(24,48,28)s(40,40,28)+-
s(48,48,12)c(40,24,20)+t(24,24,12)-
s(24,16,20)s(32,40,20)s(24,32,20)++
s(16,40,20)s(24,32,20)*s(24,24,28)*
s(40,32,28)c(40,40,20)*s(32,48,20)*
s(32,40,28)s(16,32,20)-t(16,56,12)-
s(40,24,28)s(32,24,28)s(24,40,20)*-
s(32,24,20)c(24,16,12)+c(48,24,12)-
c(16,24,12)s(40,32,12)+t(48,24,12)-
t(32,32,28)s(48,48,20)-s(32,16,20)*
s(32,32,28)c(16,48,12)c(48,24,12)+*
t(16,24,12)s(48,16,20)s(24,48,20)++
t(32,40,28)s(32,8,12)+t(40,40,20)*
s(32,32,28)t(40,24,20)-c(24,40,12)-
s(32,40,28)s(40,48,20)*c(24,40,20)*
s(48,8,12)s(48,24,20)c(32,24,20)*+
s(16,32,20)c(32,32,12)t(24,32,20)+*
s(48,48,12)t(32,48,28)+s(40,48,20)-
s(40,32,20)s(8,8,12)+c(24,16,12)-
t(40,48,20)c(32,24,20)+t(32,32,28)-
s(40,48,20)s(40,24,20)t(16,56,12)+-
s(16,32,20)c(40,40,20)s(24,32,12)-+
c(40,32,20)s(24,32,28)t(24,24,12)-*
t(24,48,28)c(40,24,20)-s(32,32,28)-
c(32,24,20)t(32,24,20)-s(48,16,20)-
s(40,24,20)t(32,24,20)-t(32,48,20)+
c(32,32,20)s(40,32,28)*t(32,32,28)*
s(24,32,28)s(32,32,28)*s(40,40,20)*
t(24,40,28)c(24,16,12)-s(40,24,28)-
s(32,16,12)t(16,32,12)+s(32,32,12)+
s(32,24,28)s(32,32,28)s(40,40,28)--
s(40,32,28)s(24,32,28)t(32,32,28)**
c(40,32,20)s(48,48,20)s(32,48,20)--
t(32,56,12)s(24,24,20)+s(16,32,20)*
c(40,40,20)t(40,32,20)c(32,24,20)*-
c(32,40,20)s(48,40,20)t(24,48,28)--
s(48,32,12)c(24,24,12)+c(24,40,20)-
s(16,24,20)c(32,40,20)s(16,40,20)+*
c(32,24,20)c(40,40,20)*s(24,32,28)*
c(32,48,12)s(16,16,12)+s(40,32,28)+
c(48,16,12)t(40,32,20)+s(40,24,20)*
c(32,32,20)s(48,32,20)-s(16,16,20)-
c(24,24,20)c(32,40,12)t(24,32,20)+-
c(24,24,20)s(40,32,20)*c(40,48,12)+
c(40,40,20)t(40,32,12)-c(32,48,12)-
c(32,32,20)s(48,16,20)s(48,32,20)*+
t(24,32,28)s(24,32,20)s(24,48,12)-*
c(40,40,20)t(24,48,28)s(32,40,20)*+
s(24,24,28)s(40,24,28)*s(8,24,12)+
s(24,32,12)s(48,32,12)+c(32,24,20)*
s(48,40,20)s(48,48,20)*c(32,32,28)*
s(40,32,28)s(48,40,12)-s(48,24,20)*
s(40,48,20)s(24,24,20)s(48,24,20)+-
t(32,56,12)s(48,16,20)c(32,24,20)*+
s(8,8,12)c(48,32,12)+t(48,16,12)+
s(40,40,28)s(32,48,20)c(32,32,12)-*
s(40,48,20)s(8,8,12)c(32,24,12)++
s(24,40,28)t(24,24,20)*t(24,32,20)+
s(40,32,20)s(48,32,20)t(40,56,12)+*
s(32,32,20)s(40,48,20)c(24,40,20)+*
s(32,48,20)c(16,40,12)+s(32,24,28)*
t(32,32,28)s(32,32,28)s(24,40,28)**
s(16,40,20)s(16,24,20)*t(24,32,20)+
s(40,24,28)s(40,40,28)s(40,32,28)**
c(24,40,20)c(24,24,20)s(40,24,20)-+
s(48,32,20)c(32,24,20)+s(48,16,20)-
s(48,48,20)c(40,32,20)s(32,48,12)+*
s(32,48,20)s(24,32,28)+t(24,48,28)*
c(48,16,12)s(24,32,20)c(32,40,12)-+
s(32,48,20)c(16,32,12)+s(16,48,20)*
t(24,32,28)c(32,32,20)s(40,32,12)-+
s(16,24,12)t(24,32,20)+t(24,40,12)-
s(24,32,28)t(32,32,28)c(40,32,20)**
s(48,40,20)s(40,40,20)*c(40,32,20)*
s(24,40,20)c(40,24,20)s(32,40,28)*-
s(24,24,28)s(32,32,28)c(24,24,12)--
s(24,40,28)s(16,32,20)-c(32,40,20)*
s(32,40,28)s(24,32,28)t(16,56,12)+*
s(48,40,20)s(32,40,20)+c(40,40,12)-
c(24,32,20)c(40,24,12)-c(32,24,20)-
t(16,56,12)c(24,24,20)+t(16,32,12)-
c(40,32,20)s(48,32,20)*s(32,32,28)*
s(24,40,28)t(32,40,28)*c(40,32,20)*
s(40,24,28)s(40,16,12)-t(24,24,12)-
c(24,32,20)s(40,24,28)s(40,32,28)+-
t(24,40,28)t(16,40,12)-t(24,40,20)-
c(32,32,28)c(40,32,12)-s(40,48,20)*
s(48,40,20)t(32,32,28)-s(40,24,28)+
s(40,32,28)s(32,8,12)+c(24,24,20)*
t(32,48,20)s(40,16,12)t(24,56,12)+-
c(32,16,12)s(16,40,20)+c(32,32,12)-
t(24,48,20)t(24,40,28)*c(48,48,12)+
c(48,32,12)s(8,8,12)+c(40,16,12)+
s(24,32,28)s(24,40,12)-c(16,32,12)-
c(24,40,20)s(48,40,20)-t(24,48,20)*
s(32,24,28)s(48,24,20)-t(32,16,12)-
s(40,8,12)t(24,16,12)+t(24,32,12)+
s(32,40,28)t(24,24,12)-c(40,32,20)*
s(32,40,28)c(32,32,28)s(40,16,12)-*
t(32,48,28)c(32,32,28)*s(32,32,28)*
s(32,40,20)s(48,40,12)-s(16,40,20)*
s(32,32,28)s(16,16,12)s(48,16,20)+*
s(40,48,12)s(16,48,20)+c(32,32,28)*
s(16,8,12)s(32,40,12)+c(16,16,12)-
s(24,40,28)s(16,16,20)+s(48,32,20)+
c(40,24,20)c(32,32,20)s(24,48,20)-*
t(24,32,20)s(8,24,12)c(48,48,12)++
s(32,40,20)c(32,24,20)c(32,40,12)+*
s(24,24,28)c(40,40,20)c(32,24,20)**
s(24,40,28)s(48,40,20)-s(40,24,28)-
t(16,48,12)t(24,32,28)+c(24,24,20)-
t(40,16,12)c(24,32,20)s(32,40,20)*+
t(32,40,28)s(32,48,20)c(40,24,20)-+
s(24,40,28)s(32,24,12)-s(24,24,28)*
s(40,32,28)s(24,24,20)*t(24,40,28)+
c(24,16,12)c(48,16,12)c(40,40,12)++
s(48,32,20)c(48,48,12)+s(40,40,20)-
s(24,40,20)t(40,40,12)t(24,32,20)+*
t(32,16,12)s(32,32,20)s(16,24,12)-+
s(24,40,20)t(48,48,12)+s(40,24,28)-
s(40,24,28)c(48,16,12)-s(32,40,12)-
s(24,32,28)t(32,32,12)s(16,48,20)+*
s(32,40,20)s(16,16,20)+s(32,16,20)*
s(16,32,20)c(16,16,12)-s(24,40,20)*
s(40,16,20)c(40,24,20)*s(24,48,12)+
s(16,40,20)c(16,32,12)-t(48,16,12)+
t(40,32,20)s(32,16,12)-t(32,32,28)*
s(24,32,28)c(24,24,12)t(16,24,12)+-
t(40,56,12)t(24,40,20)s(32,40,20)++
s(32,32,28)s(40,40,20)*s(16,24,20)-
s(16,48,20)t(48,40,12)s(16,24,20)+-
t(24,24,20)s(24,24,28)s(48,40,20)-*
s(32,40,20)c(32,32,20)c(40,32,20)**
s(40,40,20)c(24,24,12)-t(24,48,28)-
s(32,40,28)s(48,16,20)t(32,40,12)++
c(32,24,20)s(32,40,12)-s(40,32,12)-
s(40,40,28)t(24,32,28)t(32,48,20)-+
s(48,16,12)t(32,40,20)+s(40,40,12)-
s(32,32,12)s(48,32,12)+s(16,24,20)-
s(24,24,28)s(40,32,28)t(24,32,28)--
c(40,32,20)s(16,24,20)-s(32,48,20)+
c(32,16,12)c(24,40,12)+c(32,32,12)-
t(24,48,20)c(40,24,20)+t(24,32,28)*
s(24,16,20)c(32,32,20)+s(24,16,12)-
s(24,48,20)t(24,56,12)s(48,40,12)++
c(24,48,12)t(24,24,20)+s(16,32,20)*
c(32,40,20)s(40,24,28)c(40,32,12)--
s(40,32,28)s(32,48,20)*t(40,32,12)-
s(40,48,20)t(24,32,20)-s(32,40,28)*
s(24,40,20)t(32,40,20)t(40,24,20)+-
c(32,32,20)s(8,8,12)+s(48,32,20)*
s(40,24,28)s(40,40,20)+c(24,24,12)-
s(32,40,28)s(24,32,20)+s(16,24,20)*
c(40,24,20)t(24,32,20)-s(48,24,12)-
c(16,16,12)s(24,32,20)+s(40,40,28)*
s(24,40,28)t(24,48,28)t(40,40,12)+*
s(32,48,12)c(32,40,12)+s(48,48,12)-
s(40,48,20)t(40,24,12)+s(24,48,20)*
s(24,24,20)s(32,40,12)-t(24,24,20)*
t(32,48,28)s(32,32,28)t(40,24,20)*+
c(32,32,28)s(16,16,12)-s(40,40,28)*
c(40,24,20)t(24,40,12)s(48,32,20)+*
s(24,40,28)t(32,24,20)s(8,40,12)+*
t(32,48,28)s(40,48,12)-s(16,32,20)+
s(32,24,28)s(40,16,20)*c(24,24,20)+
s(24,32,20)c(40,32,20)c(40,48,12)-*
s(32,32,28)s(40,40,12)-s(40,32,20)*
s(32,40,28)s(40,48,20)*t(48,48,12)-
s(24,16,20)s(24,24,20)t(40,40,12)+*
t(32,32,28)c(32,40,20)s(40,24,12)-*
t(32,32,20)t(24,32,28)s(32,32,28)**
t(32,32,20)s(48,40,12)c(48,16,12)+-
s(16,48,20)c(24,24,20)+s(24,32,28)+
s(24,16,20)c(40,16,12)+s(40,16,20)-
c(24,32,12)s(32,24,28)s(24,16,20)*+
s(48,40,20)t(32,48,12)-s(24,40,28)-
s(24,24,20)s(40,32,28)s(40,24,28)**
s(32,32,28)s(24,32,28)t(40,48,20)-+
t(40,48,20)s(24,16,12)+s(8,40,12)+
c(24,40,20)t(32,32,28)s(16,48,20)-+
c(16,48,12)s(24,16,12)+t(24,32,28)*
s(32,32,20)c(40,16,12)t(16,48,12)+-
s(48,40,20)s(48,48,20)+t(32,48,28)-
t(24,32,28)s(40,48,20)t(40,40,20)+-
s(48,8,12)s(24,24,28)c(40,32,20)-+
s(32,24,20)s(24,32,28)c(32,32,20)**
s(24,32,20)s(16,48,20)s(16,24,20)--
s(32,40,20)s(40,16,12)c(40,40,12)++
t(32,40,28)t(24,32,28)*c(24,48,12)-
c(48,32,12)s(48,40,12)+t(24,40,20)+
s(24,32,28)s(16,24,20)t(40,24,12)+-
s(48,48,12)t(24,40,28)c(24,40,20)*+
t(24,32,20)c(16,32,12)t(40,48,20)++
s(48,40,20)t(40,32,20)c(48,48,12)-+
t(24,24,20)s(24,8,12)s(32,24,20)+*
s(48,32,20)s(40,40,20)s(32,32,28)**
t(24,48,20)c(32,32,20)s(24,32,20)--
s(24,40,20)t(32,24,20)s(48,16,12)+-
c(24,40,20)c(24,24,20)s(16,48,20)+*
t(24,32,28)s(32,48,20)+c(32,24,20)*
t(16,56,12)t(24,24,20)+s(32,40,28)*
s(40,40,28)c(32,32,20)*t(40,24,20)+
s(24,32,20)s(32,32,28)t(24,40,12)-*
c(40,24,20)s(48,24,12)-t(32,32,28)*
s(24,32,28)t(24,24,20)s(48,40,12)+*
s(32,24,28)c(24,32,12)-s(48,40,20)-
c(40,24,20)c(48,16,12)-s(24,48,20)-
s(32,24,28)c(40,40,20)c(32,32,20)*-
s(32,40,28)s(24,48,12)-c(32,40,20)*
t(32,56,12)c(40,32,20)s(40,40,20)*+
s(40,16,20)c(24,24,20)*s(48,32,12)+
s(24,40,28)c(16,40,12)-s(32,32,12)-
s(32,40,28)t(48,48,12)-s(40,24,12)-
t(24,48,12)t(24,32,28)c(24,24,20)*+
s(40,48,20)s(40,40,12)-c(24,32,12)-
c(24,32,20)t(24,40,12)-s(24,40,28)*
s(16,24,20)s(16,16,20)*c(24,24,20)*
s(32,32,20)c(32,32,20)c(24,40,20)**
s(24,40,20)c(16,32,12)s(16,48,20)+*
s(16,32,20)c(24,40,20)c(24,32,20)**
s(32,48,20)s(24,48,12)-t(32,16,12)+
t(40,40,12)s(40,32,12)c(24,16,12)++
c(32,24,20)s(32,32,20)*c(40,32,20)*
t(32,48,28)s(32,16,20)t(24,48,28)+*
s(32,24,28)c(24,16,12)t(24,40,20)+*
t(32,48,28)t(32,48,28)s(24,32,28)*-
t(32,32,28)t(32,40,28)s(24,40,20)*-
t(48,32,12)t(16,32,12)c(40,48,12)++
c(32,32,20)c(24,24,20)s(32,32,28)*-
c(40,40,12)t(24,40,28)+s(32,32,20)*
s(24,32,28)s(48,32,20)t(24,48,28)+*
s(48,32,20)s(24,16,20)s(8,16,12)-+
c(32,16,12)c(24,32,12)+s(8,48,12)+
s(48,24,12)s(24,32,20)+t(24,32,28)-
s(32,32,28)s(16,16,20)c(24,40,20)+*
s(32,24,20)c(32,40,20)s(32,48,12)-*
s(24,24,20)t(32,32,28)*s(32,40,28)*
s(40,40,20)s(40,32,12)s(24,40,12)+*
c(32,40,20)c(32,48,12)-t(24,32,28)*
s(40,8,12)s(32,32,20)+s(40,40,28)-
t(32,24,20)s(32,32,20)s(48,40,20)+*
c(32,24,20)s(32,48,20)c(32,32,28)*-
s(24,32,28)c(40,48,12)+s(32,32,20)-
c(24,48,12)c(16,32,12)+s(32,40,28)*
s(24,8,12)c(24,40,20)+c(24,24,20)-
s(32,24,20)c(16,48,12)c(24,40,12)++
t(24,40,20)s(48,24,20)+t(24,40,28)*
s(32,24,28)s(32,32,28)*t(40,40,20)-
s(32,40,28)c(24,40,12)s(16,48,12)+*
t(32,32,28)c(40,32,20)*s(24,40,12)+
s(24,40,20)c(32,32,20)*t(32,48,28)*
t(32,40,20)s(40,24,20)+s(40,48,20)-
c(32,32,20)s(24,40,20)-t(32,24,12)-
t(48,32,12)s(48,24,20)s(32,24,20)*+
s(16,48,20)t(16,40,12)-s(24,40,12)-
s(24,48,12)s(32,16,12)+t(48,32,12)+
s(40,32,28)c(32,40,20)*t(24,48,20)-
s(16,32,20)c(32,32,28)c(32,32,12)-*
t(32,32,28)s(24,24,28)+s(48,16,20)+
s(24,40,28)t(32,40,28)*t(24,48,20)*
s(32,24,20)c(24,24,20)*s(48,32,20)-
t(24,32,20)s(32,24,12)+t(24,32,28)*
s(32,16,20)s(32,32,28)+t(32,48,28)*
s(32,40,28)t(32,40,28)s(48,32,20)-*
s(24,24,20)t(32,32,28)*s(48,32,20)-
t(24,40,28)s(24,16,20)-c(48,32,12)+
s(24,24,20)c(24,48,12)s(32,40,20)+-
s(24,40,28)s(48,16,20)+s(32,32,20)-
t(24,40,12)c(40,48,12)+c(24,40,20)*
s(48,40,12)s(40,32,20)s(40,48,20)*+
c(24,32,20)s(8,8,12)+s(8,24,12)-
t(40,24,12)t(40,40,20)s(32,40,20)*+
s(16,8,12)s(40,40,20)s(24,32,28)*+
c(40,32,20)s(48,32,20)+s(32,24,20)-
s(40,24,28)c(32,40,20)+s(40,48,12)-
s(40,32,28)c(32,40,20)c(24,32,20)*-
c(40,40,20)t(40,24,20)c(32,32,20)*-
s(32,24,20)c(40,32,12)-c(16,40,12)-
c(40,40,12)s(32,24,20)+s(48,32,20)*
c(16,24,12)s(48,48,12)c(48,32,12)++
s(48,8,12)c(24,40,20)+s(32,48,12)-
c(40,24,20)c(24,16,12)+s(24,32,28)*
t(48,24,12)t(24,32,20)+s(24,48,20)-
t(24,48,12)t(32,56,12)s(8,32,12)++
c(32,40,20)s(24,40,20)+t(40,48,20)*
t(24,40,20)s(24,16,12)+s(48,32,12)+
s(24,24,28)t(24,32,28)*s(16,32,20)*
t(40,40,12)s(40,16,20)c(32,32,20)-+
s(24,32,20)s(24,40,20)*t(16,16,12)+
s(24,32,28)s(32,40,12)-s(32,40,28)*
s(32,24,20)s(32,8,12)-c(32,40,20)*
s(24,24,28)s(40,24,20)s(24,24,12)-*
c(32,32,20)t(48,24,12)-t(24,16,12)-
s(48,16,12)t(32,48,20)s(24,32,28)++
s(40,24,28)s(48,8,12)-t(32,40,12)-
s(40,40,20)s(48,32,12)-t(48,40,12)-
s(40,48,20)t(40,24,20)c(24,40,20)+*
t(24,40,28)s(48,48,20)-t(16,40,12)-
s(40,24,20)c(32,40,12)-c(48,16,12)-
c(40,40,20)s(32,32,28)*c(24,24,20)+
c(32,40,20)s(16,16,20)t(40,48,20)+-
t(40,48,20)c(32,24,20)s(40,16,20)*+
s(40,48,12)c(40,24,12)+t(48,24,12)-
s(24,32,20)s(32,24,20)*s(32,40,28)*
c(32,40,20)s(40,48,12)s(24,40,20)+*
s(32,24,28)s(40,40,28)s(24,32,12)-*
s(40,40,28)s(40,40,20)-t(24,24,12)-
t(40,48,20)c(32,24,12)+s(32,32,20)*
s(32,32,20)t(24,40,28)+s(24,32,20)*
t(48,40,12)s(32,16,20)+s(8,32,12)+
t(40,48,20)s(40,16,20)s(32,40,12)+-
s(24,32,28)c(32,32,20)-c(16,48,12)+
c(40,24,20)t(24,48,12)+s(48,32,12)-
c(32,48,12)s(48,8,12)+s(40,8,12)+
c(24,40,20)s(32,24,28)t(24,40,20)--
s(48,24,12)t(32,48,20)s(24,40,12)-+
s(24,32,28)s(40,40,20)*s(16,24,12)+
s(16,48,20)s(40,24,20)+t(32,16,12)-
s(24,40,28)s(40,40,28)t(24,32,20)+-
s(24,40,28)t(32,40,20)-s(16,24,20)*
s(40,40,12)s(16,40,12)+c(32,32,20)*
c(24,48,12)t(40,32,20)s(48,16,12)++
c(32,32,28)s(48,16,20)-s(24,24,12)-
s(24,48,20)s(24,32,20)c(32,32,20)*-
c(40,24,12)t(24,40,28)+s(40,16,20)+
s(32,32,20)s(40,24,12)-c(48,32,12)-
c(16,32,12)t(48,48,12)+s(32,32,28)*
t(32,48,20)c(24,24,20)c(40,24,12)--
s(24,24,28)t(16,24,12)-t(24,32,28)*
t(32,40,20)s(32,40,20)s(32,16,20)-*
s(48,24,20)t(24,56,12)+s(40,40,20)-
c(24,32,12)s(40,48,12)t(32,32,20)++
c(40,32,20)s(32,16,12)t(24,48,28)+*
s(48,32,20)c(40,24,20)*s(24,32,20)-
s(48,24,20)s(40,24,12)c(40,40,12)+-
c(24,24,20)t(24,40,28)c(48,48,12)--
c(24,32,20)s(32,24,20)-s(32,24,12)+
s(40,40,20)t(32,40,20)-t(40,40,20)+
s(16,8,12)c(24,40,20)+c(32,24,20)-
c(32,40,20)c(40,32,20)*s(32,32,20)*
s(32,32,20)s(24,24,28)*c(32,40,20)*
t(48,24,12)c(40,24,12)+c(24,32,12)-
c(32,32,20)s(32,24,28)c(48,24,12)-*
s(24,24,20)s(16,40,20)c(24,32,20)*-
c(48,24,12)c(32,24,20)+c(32,16,12)-
s(40,40,28)t(32,32,28)s(24,24,28)**
s(40,24,28)s(40,24,20)-s(16,24,12)-
t(24,32,20)c(40,32,20)t(32,56,12)++
c(32,40,20)t(32,40,12)-s(24,8,12)+
t(48,16,12)t(40,48,12)t(16,24,12)++
s(48,16,20)t(24,32,28)+s(32,40,28)*
s(40,24,20)s(16,16,12)s(8,8,12)++
t(24,24,12)s(48,16,20)c(24,24,20)-+
c(32,40,20)t(32,48,28)+s(32,24,20)-
s(16,40,20)s(16,16,20)-t(16,48,12)-
s(24,48,12)c(24,16,12)+s(16,8,12)-
s(40,40,28)s(40,24,28)c(32,32,28)*-
s(16,40,20)s(16,32,20)s(24,48,12)+*
s(32,32,28)t(40,24,12)-s(24,40,20)-
t(24,40,28)s(48,48,20)-c(32,32,12)-
s(24,32,20)s(24,24,28)s(32,32,20)**
t(24,40,20)s(24,16,20)-s(32,32,12)+
s(32,48,20)t(24,32,28)s(24,40,28)*-
s(32,40,12)s(24,32,12)+s(24,24,28)*
c(40,32,20)c(48,40,12)-s(40,24,20)+
s(40,24,20)s(40,40,28)+s(48,32,20)-
s(32,40,28)t(24,48,28)*s(16,48,12)-
s(32,48,20)s(24,32,28)t(24,24,12)-*
c(32,40,20)s(16,8,12)+t(32,40,20)-
c(24,32,20)s(16,40,20)t(32,32,12)+*
s(40,16,12)s(48,32,20)+t(32,48,12)+
s(16,48,20)s(48,40,12)s(24,24,20)++
s(24,24,28)c(16,32,12)t(32,40,12)+-
s(40,32,28)t(32,48,28)*c(24,24,12)+
s(24,32,28)t(16,40,12)-c(32,24,20)+
s(32,48,20)c(32,32,28)*c(40,48,12)+
t(32,48,28)c(32,40,12)t(16,32,12)+*
s(40,24,28)t(24,32,12)-s(24,16,20)*
t(40,24,12)c(24,32,12)+s(40,24,28)*
s(40,40,28)t(40,48,20)t(24,32,28)+*
c(32,24,20)t(32,24,12)-t(24,40,28)-
s(40,40,28)t(32,48,28)s(40,32,20)+*
s(16,16,20)s(32,24,28)+c(40,24,20)*
c(24,32,12)t(24,48,12)+c(40,32,12)-
s(40,40,28)s(40,32,28)*s(40,24,20)*
t(40,24,20)t(32,48,28)+t(40,32,20)*
s(32,32,28)s(8,16,12)t(24,32,20)+*
s(32,48,20)s(24,8,12)s(24,40,20)+*
c(24,32,20)s(32,32,20)*c(32,48,12)-
c(24,40,20)s(24,32,28)c(40,40,12)-*
s(40,40,12)s(16,40,20)+t(32,32,28)*
c(40,32,20)t(24,48,20)-s(24,24,20)-
t(24,32,20)c(40,40,12)-t(16,32,12)+
s(24,40,20)t(32,40,28)*t(24,56,12)-
c(40,32,20)c(32,24,20)*s(32,40,12)-
s(8,32,12)s(40,32,28)+s(32,32,12)-
c(32,40,20)s(24,24,28)t(32,24,12)--
s(40,24,28)c(32,32,20)c(32,40,20)**
t(24,32,28)c(40,40,12)+c(40,40,20)*
c(24,32,20)s(16,32,12)-s(40,24,12)-
s(32,32,12)s(48,40,12)+t(24,32,20)+
s(24,48,20)t(16,32,12)c(24,24,12)+-
t(32,16,12)s(40,40,28)s(40,24,20)-+
t(32,40,20)t(32,32,28)s(40,32,28)**
s(16,48,20)s(24,24,20)+t(32,48,28)-
s(32,24,28)c(40,24,20)*s(40,48,20)+
c(24,40,20)s(24,24,28)*s(32,32,28)*
s(40,24,28)t(32,32,20)-s(40,32,28)*
s(16,40,20)t(24,24,12)-c(16,16,12)+
s(32,24,28)s(48,40,12)t(32,16,12)+-
s(48,24,20)c(32,32,28)s(16,48,20)*+
t(24,32,28)t(32,40,20)t(40,48,12)+*
s(40,16,20)c(32,24,20)+c(40,32,20)*
s(40,24,12)t(48,24,12)+t(32,32,28)+
s(16,32,20)t(24,32,28)t(48,32,12)++
s(24,8,12)c(48,40,12)+t(48,16,12)+
s(24,16,20)c(32,40,20)t(32,40,20)--
s(40,32,28)c(32,40,20)*t(32,32,28)*
c(32,24,20)s(8,24,12)+s(16,32,20)*
s(48,16,20)s(48,24,12)t(32,40,12)++
s(16,16,20)s(40,16,20)+s(40,16,12)-
t(24,32,28)t(32,32,28)*t(32,40,12)-
t(32,24,12)s(24,40,20)s(8,40,12)++
s(40,48,12)c(16,16,12)t(24,40,12)++
c(16,24,12)t(16,40,12)+t(24,56,12)+
s(40,40,20)s(24,40,20)t(16,48,12)-*
c(24,32,20)s(40,40,28)t(48,40,12)--
s(40,24,20)s(32,48,12)s(48,16,20)+-
s(16,16,20)s(40,16,20)c(32,32,12)--
s(24,24,28)s(32,24,28)*c(40,32,20)*
s(24,24,20)c(32,40,20)s(40,32,12)--
c(40,40,20)t(40,32,12)s(48,8,12)+-
c(32,32,20)s(40,40,12)c(40,24,12)+-
s(16,32,12)c(40,32,20)s(48,48,20)*+
t(32,40,28)s(40,40,20)t(24,40,20)-+
s(32,40,12)t(32,32,20)+s(16,32,12)-
c(32,40,20)t(24,32,28)*s(32,40,20)*
t(32,40,28)t(24,48,12)s(32,48,12)+-
c(32,40,20)s(40,48,12)-c(40,24,20)*
s(48,16,12)t(24,24,20)+t(24,32,28)*
s(48,48,20)s(16,24,12)s(8,40,12)++
c(48,40,12)s(32,16,12)t(48,24,12)++
c(32,32,28)s(48,24,20)*s(32,48,20)-
c(32,32,20)c(24,16,12)-t(48,24,12)-
s(40,24,20)t(32,32,20)-s(24,32,12)+
t(24,40,28)s(24,32,12)-c(24,32,20)*
s(40,32,20)s(32,32,20)*c(24,32,12)-
s(24,16,20)s(32,24,20)c(24,40,20)*+
t(16,32,12)c(40,24,20)+s(24,32,28)*
s(24,8,12)s(16,48,20)+s(24,32,20)-
c(32,48,12)s(16,32,12)+t(16,24,12)-
s(40,24,28)s(24,40,20)s(48,48,12)+*
c(24,32,20)c(32,40,20)s(40,24,20)*-
s(32,48,20)c(32,32,20)c(24,40,20)**
s(40,32,20)s(40,16,20)+s(48,16,12)-
s(24,40,28)s(16,24,20)-c(32,40,20)*
c(32,32,20)t(16,56,12)s(48,24,20)+*
s(24,40,28)c(40,24,20)t(40,32,12)--
s(16,16,20)c(48,40,12)+c(24,24,20)*
c(40,40,20)t(24,48,28)-t(32,24,12)-
c(32,32,12)t(16,40,12)+s(32,24,28)*
s(8,48,12)t(24,56,12)+s(32,24,28)+
s(32,40,28)c(32,24,12)-s(32,32,28)*
s(16,24,20)c(32,40,20)t(32,48,28)*+
s(24,40,20)s(48,8,12)+t(32,32,12)-
t(24,32,20)s(32,16,20)+t(40,40,20)-
t(32,40,28)s(8,16,12)s(32,24,28)+*
s(40,32,20)s(48,16,20)s(40,16,12)--
c(32,40,20)t(32,48,20)-c(32,40,12)-
s(24,40,20)c(24,40,12)-t(32,32,12)+
s(24,40,28)c(32,32,20)*t(40,32,20)-
t(32,40,28)t(32,48,28)*t(48,24,12)+
s(24,48,20)c(40,16,12)+t(40,32,20)-
t(48,16,12)t(32,32,28)+s(40,48,12)-
s(32,40,28)c(40,40,20)s(48,48,12)-*
s(32,24,28)s(16,24,20)*t(40,24,12)+
s(48,24,20)c(32,32,20)+s(32,32,28)*
c(24,32,20)s(24,40,28)c(40,48,12)-*
t(40,32,20)c(24,24,12)+s(40,32,12)-
s(40,32,20)s(48,8,12)t(32,40,12)+-
c(40,24,20)s(8,48,12)s(40,24,20)+*
t(32,48,28)s(16,32,20)+s(32,40,20)*
c(32,40,20)t(32,32,28)s(16,40,20)-+
c(24,48,12)t(48,48,12)+c(32,40,20)*
s(48,32,20)t(40,48,20)-s(8,24,12)+
s(32,40,20)t(24,48,28)t(40,24,20)+*
t(24,32,20)s(48,16,20)+c(48,16,12)-
s(16,16,20)t(24,40,28)-c(24,24,12)-
s(40,32,20)c(32,24,20)c(32,40,12)+*
t(32,48,20)s(16,40,12)t(40,48,12)++
t(32,32,20)t(24,48,28)s(16,32,12)++
s(24,24,28)s(16,16,20)c(24,16,12)--
s(48,24,12)s(8,16,12)+t(32,32,28)-
s(48,16,20)c(32,24,12)-s(48,24,20)*
t(32,16,12)t(16,48,12)+c(16,32,12)+
s(40,16,20)s(40,32,20)s(16,40,12)+-
c(40,24,20)s(24,40,28)-c(32,16,12)+
t(24,40,28)c(24,40,20)*s(32,32,28)*
t(32,56,12)s(24,48,20)s(24,40,20)*+
t(24,48,28)s(32,40,20)s(40,40,12)-*
s(32,16,20)s(8,16,12)+t(24,24,20)+
c(32,32,28)c(40,24,12)s(16,48,20)+*
c(40,24,20)s(24,24,28)s(32,16,20)*+
t(40,32,20)s(48,16,12)s(32,40,20)+*
s(24,16,20)s(40,40,28)s(40,24,20)+-
s(40,32,28)s(24,24,28)s(16,40,20)+-
s(24,40,28)s(16,48,20)c(24,24,20)-*
s(16,40,20)c(16,32,12)t(24,32,20)++
s(40,48,12)c(32,24,12)+s(16,16,12)+
t(24,32,12)s(24,16,12)c(40,40,12)++
s(40,16,20)t(24,40,28)s(32,32,20)*-
t(48,48,12)s(48,24,20)+s(24,24,20)-
s(24,40,20)t(32,48,28)t(24,24,20)-*
s(32,32,20)c(40,16,12)s(24,32,20)+*
s(40,40,20)t(32,56,12)+c(24,32,20)*
t(48,48,12)s(40,32,12)+c(24,32,20)+
s(24,40,20)s(48,32,20)-s(16,24,12)+
s(24,32,28)c(32,40,20)s(32,8,12)+*
t(32,48,28)s(32,40,20)s(16,40,20)*-
t(48,24,12)c(24,24,20)+s(32,40,20)*
s(24,48,20)t(24,16,12)c(24,40,12)++
t(24,32,28)t(32,40,20)-s(40,16,20)-
c(32,40,20)s(40,48,20)*s(48,8,12)+
s(40,32,28)c(40,40,20)*s(24,24,28)-
s(24,24,20)s(32,40,28)t(40,40,12)-*
t(32,48,28)s(32,24,28)s(24,32,20)*-
c(32,32,20)t(24,40,28)t(48,40,12)+*
s(24,24,28)t(40,32,20)+t(32,32,20)-
s(48,48,20)c(32,24,20)-c(32,32,28)*
t(32,40,28)s(32,24,20)s(24,32,28)**
s(40,24,20)s(24,32,12)-s(32,32,12)-
s(24,24,28)t(16,32,12)-c(32,40,20)-
c(24,32,20)t(32,32,28)s(40,48,12)--
s(48,24,20)s(40,32,20)+t(24,48,28)-
s(40,40,28)s(32,32,28)s(24,24,20)*+
c(24,40,12)t(48,32,12)+s(24,40,28)*
s(32,16,20)t(32,16,12)-s(24,16,12)-
s(32,16,20)s(16,40,20)s(24,40,12)-+
s(24,32,28)c(32,40,20)t(40,24,20)-*
c(24,24,20)t(40,16,12)c(16,32,12)+*
c(32,24,20)s(32,16,20)*s(40,48,20)+
c(32,24,20)t(32,48,28)s(40,40,12)--
s(24,16,20)t(24,24,20)-s(24,32,20)+
s(16,24,12)s(40,32,28)c(32,40,12)-+
c(32,32,20)s(40,40,20)s(16,40,20)-*
t(32,32,28)t(24,48,28)*c(40,32,20)+
s(32,40,20)c(40,40,20)t(32,32,28)--
c(32,40,20)s(48,48,20)*t(32,32,20)+
t(24,48,28)c(40,24,12)s(48,16,20)++
c(48,48,12)c(24,40,20)s(24,8,12)++
c(40,32,12)s(24,16,20)+t(32,32,28)*
s(32,32,20)s(24,32,20)*s(16,24,12)+
t(32,32,20)c(24,32,12)+t(24,32,28)*
s(40,24,28)t(32,48,12)c(16,24,12)+-
t(24,32,28)c(32,24,12)s(16,24,12)+*
s(24,40,28)c(24,40,12)-s(24,40,20)-
s(48,40,20)s(48,24,20)s(24,16,12)+*
s(40,24,20)c(48,48,12)+t(32,48,20)-
t(48,16,12)s(24,24,28)c(40,32,12)-+
s(40,48,12)s(16,24,20)+s(16,40,20)*
s(24,24,20)t(40,32,12)+c(40,32,12)-
s(32,24,20)t(32,48,28)s(24,24,20)-+
s(32,40,12)s(40,16,12)+s(16,16,20)+
t(32,48,20)s(48,16,20)+s(32,48,20)*
t(32,32,20)t(32,32,28)c(24,48,12)-*
t(24,32,28)s(24,32,28)s(40,40,28)**
c(32,48,12)s(48,16,12)+s(24,48,12)+
c(24,40,12)c(32,48,12)+s(16,40,12)-
c(24,40,20)t(32,56,12)-s(32,24,20)-
c(16,16,12)s(32,32,28)+s(32,16,12)-
s(48,32,20)c(16,16,12)+s(24,32,28)*
c(32,24,20)t(32,48,28)c(40,24,20)+*
s(24,24,28)s(24,32,28)c(24,40,20)**
s(16,40,20)c(32,32,20)s(16,40,20)*-
s(40,48,20)t(40,32,20)s(24,40,12)--
s(32,32,12)s(40,48,12)+s(24,32,12)+
t(24,40,12)t(40,40,20)s(40,24,12)-+
c(40,40,20)t(24,32,28)*t(24,24,12)-
s(32,24,20)s(16,40,12)+s(40,24,20)*
c(32,40,20)c(40,32,20)s(48,24,20)+-
s(32,40,28)s(48,32,20)*c(48,16,12)-
s(24,32,28)c(40,32,20)*c(32,24,20)*
s(24,32,20)c(40,32,20)s(32,32,20)**
c(40,40,20)s(40,32,28)*t(32,48,28)-
s(32,40,20)t(24,40,12)-t(24,24,20)-
c(16,32,12)s(32,24,28)s(48,24,20)*+
c(32,32,28)s(32,16,20)*c(40,24,20)+
c(32,32,20)s(40,40,20)*c(32,24,12)+
s(24,32,28)t(48,32,12)+s(40,32,28)*
s(16,48,20)s(48,16,20)+c(24,32,12)+
t(40,24,20)t(24,48,12)+t(24,48,28)-
s(32,32,28)s(40,24,28)-t(48,32,12)+
c(32,24,12)t(24,40,20)+c(48,40,12)+
t(40,32,20)s(32,32,28)c(40,40,20)**
s(40,32,20)c(24,40,20)*s(16,16,20)+
s(40,40,28)t(32,40,28)s(40,32,28)*-
t(32,56,12)t(16,32,12)c(32,48,12)++
t(24,32,28)s(16,16,20)-c(48,16,12)+
t(40,32,12)s(16,48,20)+t(24,32,28)*
s(24,40,12)c(48,24,12)+c(32,24,20)*
s(8,40,12)c(40,24,12)+t(40,48,20)+
s(16,24,20)c(24,32,20)s(24,24,20)**
c(24,32,20)t(48,32,12)+t(40,32,12)-
s(48,16,20)s(24,40,20)c(16,16,12)++
s(24,32,28)c(48,24,12)t(32,32,28)+*
s(24,32,28)c(40,24,12)t(32,24,20)+*
s(48,16,20)s(40,32,28)t(32,48,28)-*
s(32,32,28)s(40,40,20)+c(40,40,20)*
s(40,24,20)s(24,24,12)t(40,16,12)++
c(24,32,20)s(32,40,28)s(24,48,20)**
s(24,24,28)s(24,16,20)s(32,16,12)-*
c(32,48,12)t(32,32,28)t(24,40,20)-+
s(48,16,20)t(24,48,28)+c(32,40,12)-
t(40,32,12)t(24,32,20)+s(32,32,12)-
s(24,24,28)s(24,48,20)c(16,40,12)+*
s(32,48,12)s(24,24,28)t(16,16,12)-+
s(32,40,28)t(32,24,12)-t(48,16,12)+
s(40,32,28)c(32,24,20)*t(32,24,20)-
t(16,48,12)s(40,32,28)+c(24,32,20)*
s(32,32,28)t(16,48,12)s(32,40,12)+*
c(40,32,20)c(24,24,20)*s(40,40,12)-
t(32,48,12)s(48,40,20)+s(32,40,20)*
c(32,40,20)s(40,24,20)-t(32,32,28)*
c(32,40,20)s(24,24,20)s(16,16,20)--
s(48,24,20)t(24,40,28)s(24,32,20)*+
s(8,48,12)s(32,24,28)+s(32,48,20)-
s(40,32,28)t(40,40,12)-c(32,24,20)*
t(24,32,28)c(32,40,20)s(24,32,28)**
c(32,40,20)s(40,24,20)-c(40,40,20)*
t(32,40,28)s(40,24,20)c(32,48,12)++
t(32,32,28)s(48,32,12)-c(24,24,20)*
t(16,40,12)t(24,48,12)+s(32,24,20)+
c(40,40,12)s(48,8,12)+s(32,40,12)-
s(40,48,20)c(32,40,20)s(32,40,12)--
t(24,32,28)t(24,48,28)t(32,32,28)*-
s(8,32,12)s(48,40,20)+s(40,40,20)-
s(24,32,28)t(16,32,12)-s(24,40,20)-
t(24,40,28)s(32,48,20)*c(24,24,20)+
s(32,48,20)s(32,32,28)*t(24,16,12)+
c(16,16,12)s(40,32,20)+s(24,40,28)*
c(40,24,20)s(32,40,28)s(16,24,12)-*
s(32,32,20)c(48,40,12)-c(16,32,12)-
c(32,32,28)c(40,32,20)-s(16,40,20)*
s(24,32,12)s(24,48,12)t(32,32,20)++
t(40,40,12)c(32,24,12)+s(8,8,12)+
t(24,32,28)s(40,32,28)*t(32,40,28)*
c(32,40,20)s(32,32,28)*c(24,40,20)*
t(16,40,12)s(32,24,28)s(24,48,20)-+
t(32,32,28)s(16,32,20)*t(16,48,12)+
s(8,8,12)s(32,24,28)s(40,16,12)-+
s(24,40,20)s(24,32,20)*s(40,40,28)*
s(24,32,28)s(40,24,12)-s(32,24,20)*
t(32,48,28)s(24,40,20)s(40,24,20)+*
c(40,24,20)t(24,32,28)+c(40,32,12)-
s(40,32,20)t(48,48,12)c(16,24,12)+-
s(32,32,28)c(40,40,12)s(48,48,12)+*
s(24,40,28)s(40,24,20)t(40,48,20)+*
s(32,32,20)s(24,40,20)s(48,48,20)+*
c(32,32,20)t(32,40,20)t(40,56,12)+*
s(40,24,20)s(48,24,20)*s(40,32,20)+
c(32,32,28)s(40,32,12)-s(24,48,20)*
c(40,24,20)s(40,40,20)s(40,48,12)-*
c(32,32,20)s(40,32,28)*s(40,40,12)-
s(16,32,12)t(24,32,28)t(32,32,20)*+
t(48,24,12)t(16,40,12)+c(32,24,12)+
t(32,16,12)s(24,24,12)+t(48,24,12)+
s(40,32,28)c(24,24,20)+s(48,40,20)*
t(48,32,12)s(16,40,20)+t(32,40,28)*
s(40,24,28)t(32,24,20)-t(40,48,20)-
t(32,48,28)s(32,32,20)c(24,32,12)--
c(32,24,12)s(24,48,12)+s(40,32,12)+
s(32,40,28)t(32,32,12)t(40,32,20)+*
s(48,24,20)t(32,16,12)t(24,40,12)++
s(24,24,28)s(16,24,20)-c(48,32,12)-
c(16,24,12)c(32,32,28)s(24,40,28)-+
s(40,32,28)c(40,24,12)t(32,32,20)+-
t(48,16,12)s(32,48,20)+s(40,48,20)+
s(32,48,20)s(32,16,12)+t(32,32,28)*
t(40,24,12)s(16,24,12)c(24,40,20)++
s(40,32,28)s(32,32,28)t(24,32,28)**
t(24,32,28)s(32,48,20)s(40,48,20)*-
s(40,48,12)t(32,32,20)s(40,32,20)*+
s(48,32,20)s(8,24,12)c(40,48,12)++
s(16,32,12)s(24,16,20)+s(16,32,20)*
s(16,40,20)s(24,40,28)c(24,24,20)--
s(32,48,20)c(40,32,12)-s(24,48,12)-
s(32,32,28)c(32,40,20)+s(40,40,28)*
c(40,40,20)s(40,48,20)c(24,48,12)--
c(24,24,12)s(16,24,20)s(16,24,12)-+
c(32,32,28)s(16,32,20)c(24,48,12)--
t(24,40,28)c(32,32,20)t(40,24,20)-*
c(24,32,20)t(24,32,28)+t(32,48,28)*
t(32,48,28)s(32,32,20)s(48,24,20)--
s(48,40,20)s(8,48,12)+t(48,32,12)-
t(32,32,28)c(40,32,20)s(40,48,20)-*
s(32,40,20)t(40,48,20)s(24,24,12)+*
t(24,40,28)c(48,32,12)+c(32,40,20)-
s(32,24,20)c(48,40,12)+s(48,40,20)*
t(32,40,28)c(32,40,12)-t(24,56,12)+
c(40,32,20)c(16,40,12)+c(24,40,20)*
t(32,56,12)s(32,40,20)t(40,32,20)-+
c(16,48,12)s(24,40,20)+s(32,48,20)*
c(16,48,12)s(32,32,20)+t(40,32,12)-
c(48,40,12)t(16,48,12)t(40,24,20)++
s(40,48,20)c(16,40,12)c(32,32,20)+*
s(24,32,28)s(16,16,20)-s(32,24,28)-
c(16,16,12)s(32,32,20)+s(32,40,12)-
s(40,32,20)s(48,48,12)-s(48,24,20)*
c(32,32,20)s(32,48,20)c(40,40,20)*-
s(40,24,28)s(24,24,28)c(24,32,12)-*
s(48,24,20)s(32,24,20)c(24,40,20)*-
c(32,32,28)s(24,32,20)s(40,40,12)--
c(24,40,20)c(16,32,12)-s(40,32,12)-
s(48,32,20)c(48,40,12)c(32,16,12)+-
s(32,24,28)s(40,24,28)s(48,40,20)*-
c(40,40,20)s(32,24,20)t(48,24,12)+*
t(32,40,20)s(40,40,20)s(40,24,28)+*
s(48,24,20)s(48,48,20)s(40,40,28)+*
s(16,8,12)s(24,32,12)+s(24,40,12)+
c(32,32,20)s(40,40,28)*s(40,24,20)+
c(32,32,28)s(40,40,20)-s(24,40,28)*
c(24,16,12)s(48,48,20)t(40,48,20)*+
s(16,32,12)s(32,40,20)+s(16,40,20)*
c(24,40,20)t(24,32,28)c(24,40,12)--
s(32,24,28)c(24,32,12)-c(24,24,12)-
s(32,24,28)s(16,24,20)t(48,32,12)+*
s(32,32,20)s(40,40,28)*t(24,32,28)*
s(32,24,12)t(24,32,20)s(48,40,20)-+
s(48,48,20)t(16,40,12)s(40,32,28)+*
t(32,32,28)t(32,40,12)-t(24,24,12)-
t(32,40,28)s(24,40,28)*c(32,24,20)-
s(40,24,12)t(32,24,12)c(16,32,12)++
s(40,24,28)c(32,32,20)*s(24,24,20)*
s(24,16,20)s(40,24,28)t(32,32,20)-+
c(40,40,20)s(32,32,28)*s(40,24,28)+
t(24,32,28)s(24,32,20)s(40,16,20)+*
s(48,16,12)t(32,48,28)+s(40,24,20)*
c(32,16,12)t(32,32,28)s(48,40,20)-+
s(40,40,28)t(40,32,12)-t(32,48,20)-
s(32,48,20)t(32,24,12)+t(24,32,28)*
s(48,48,20)s(40,40,28)t(48,24,12)-*
t(24,32,20)c(48,32,12)s(24,40,20)+*
t(32,48,20)s(40,40,28)s(48,32,20)*-
s(48,24,12)s(8,8,12)t(16,40,12)++
s(16,8,12)s(48,16,20)+s(8,48,12)+
s(48,24,12)s(48,32,20)s(32,32,28)*+
s(16,48,20)t(24,48,20)t(24,32,12)+*
s(16,48,20)c(24,40,20)c(24,32,20)*+
s(24,32,28)t(40,32,20)c(16,16,12)+*
s(32,24,28)s(40,40,28)+t(32,48,28)*
c(48,16,12)t(32,48,28)t(16,32,12)++
s(16,40,20)c(24,24,20)*c(48,40,12)+
t(40,24,12)s(24,32,28)s(32,48,20)*+
t(32,32,28)t(32,40,20)c(40,24,20)+*
s(48,16,20)t(40,48,20)s(16,24,12)++
t(24,24,20)c(32,24,20)s(24,16,12)-+
s(16,32,20)t(24,40,28)s(24,40,12)--
s(40,32,28)c(24,16,12)t(32,48,28)+*
t(24,32,28)s(16,16,12)+t(16,16,12)-
s(40,40,28)c(24,40,12)s(16,40,12)+-
c(32,24,20)c(40,40,20)s(16,32,12)+-
c(32,32,20)s(32,48,12)-t(32,40,28)*
t(24,32,28)t(24,40,20)*s(8,32,12)+
c(32,24,20)c(40,32,20)s(40,32,12)-*
s(48,32,20)s(40,32,20)*s(48,16,12)-
t(32,40,28)t(16,24,12)+t(24,40,20)*
s(48,32,20)c(40,16,12)-s(40,32,28)*
s(32,40,28)s(16,32,20)*t(24,40,28)*
t(24,32,20)t(48,24,12)s(24,24,20)+*
s(32,40,28)c(48,32,12)-t(24,32,28)*
c(40,24,20)s(48,48,20)-s(24,24,20)*
s(32,32,20)s(16,48,20)t(24,24,20)+*
c(24,32,20)t(32,48,12)-c(32,24,12)-
t(32,48,20)s(32,32,28)+c(24,40,20)*
s(24,24,28)t(24,32,12)s(40,24,12)+*
c(24,40,20)s(16,40,20)*s(32,40,12)-
c(24,40,12)s(16,16,12)+s(16,24,12)+
s(40,40,20)c(40,24,12)-s(32,40,20)*
t(32,32,28)c(40,48,12)t(40,24,20)+-
t(40,40,20)c(32,32,20)s(40,32,28)**
t(32,48,28)t(48,32,12)t(24,48,12)+-
c(24,32,20)s(32,32,28)t(40,32,20)-*
c(24,32,20)s(8,32,12)-t(24,48,28)*
s(16,16,20)s(40,24,28)s(24,40,28)*+
s(16,40,20)s(40,32,20)-s(40,24,20)+
s(48,8,12)s(40,40,28)s(32,48,20)*+
t(32,40,28)s(24,16,12)+s(40,48,20)*
s(32,40,12)t(16,48,12)+s(40,32,12)-
s(24,24,28)s(32,32,28)t(24,16,12)-*
s(32,24,28)s(32,40,28)t(24,24,20)+-
s(16,24,20)c(32,24,20)+s(16,40,20)-
s(24,24,20)s(32,48,20)-s(24,40,28)*
c(16,40,12)s(32,24,12)+s(40,32,28)*
s(16,48,20)c(40,16,12)s(16,40,20)+*
s(48,16,20)s(32,40,28)c(24,24,20)*+
s(32,40,28)s(40,24,12)-s(24,24,20)-
t(24,40,20)s(40,48,12)+s(16,24,20)-
s(24,32,20)s(8,24,12)-s(32,40,20)*
c(40,40,20)c(32,40,20)s(48,32,20)*-
s(32,24,28)s(24,40,28)+s(48,40,20)+
s(40,24,28)s(32,24,28)t(40,24,20)-*
s(8,24,12)c(40,40,20)c(32,40,20)*+
s(48,40,20)s(24,48,20)-t(32,32,20)+
s(48,32,20)s(24,24,20)+s(48,32,20)-
s(8,48,12)s(32,16,12)t(48,40,12)++
t(32,40,20)c(24,24,20)t(40,48,12)+*
t(40,48,20)s(40,24,20)-s(16,16,12)+
s(24,24,28)t(32,48,28)s(40,16,12)+*
s(16,24,20)s(24,32,20)*s(32,24,28)*
s(40,16,20)c(40,48,12)s(48,16,20)+*
t(40,48,20)t(24,40,28)t(32,48,28)*+
s(48,40,12)s(40,40,28)t(24,48,28)*+
s(48,32,20)c(40,32,20)*c(32,24,20)*
c(24,24,20)s(32,24,12)-s(24,32,20)*
s(32,40,28)c(48,16,12)+s(24,32,28)*
s(48,48,20)s(32,24,20)s(40,32,28)*+
t(32,24,20)c(24,48,12)+s(32,48,12)-
s(24,24,28)s(32,32,28)s(48,48,20)-*
s(16,24,20)s(24,24,12)-s(40,40,28)-
t(24,40,28)c(24,40,20)s(16,32,12)-*
t(16,24,12)s(32,32,12)+t(32,40,12)-
s(32,48,20)t(32,32,20)s(32,24,20)*-
c(24,32,20)t(40,16,12)c(32,24,12)++
s(48,40,20)s(40,24,28)c(32,32,20)*-
t(24,32,20)c(48,24,12)t(48,56,12)++
s(32,32,20)s(32,16,12)-t(32,32,20)*
s(48,40,12)s(24,24,20)+t(32,24,20)*
s(40,40,28)s(24,40,20)*t(24,56,12)-
s(24,40,28)s(32,16,20)s(24,24,20)+*
t(24,32,28)c(40,32,20)s(48,16,12)+-
s(48,32,20)c(40,48,12)-s(48,24,20)*
s(24,32,28)s(32,32,28)c(32,48,12)-*
s(16,32,20)c(24,40,20)s(24,48,20)*-
c(40,24,12)s(40,32,28)c(40,32,12)-+
c(40,32,20)s(24,40,28)c(16,24,12)-*
s(40,48,20)s(48,32,20)c(32,24,20)*-
c(32,32,20)c(40,40,20)s(24,48,20)*-
t(32,48,28)t(32,24,20)-c(32,48,12)-
s(40,32,20)s(24,40,12)-s(48,40,20)*
s(24,16,20)t(16,32,12)+c(24,32,20)*
c(40,32,20)t(24,40,28)t(24,32,28)+*
s(32,32,28)s(16,24,12)s(32,24,20)+*
s(40,32,28)c(48,48,12)-s(32,16,12)-
s(32,32,20)t(40,48,20)-c(24,24,20)*
s(16,8,12)t(32,24,20)+s(32,32,20)-
s(32,24,20)s(16,16,20)-s(24,32,12)-
s(24,40,28)s(40,40,20)s(48,16,20)-*
s(32,32,20)s(40,40,20)*c(48,24,12)+
c(16,48,12)c(32,40,12)+t(40,48,20)-
t(32,40,20)s(48,32,20)c(32,24,20)*-
t(32,48,28)c(32,32,28)*t(40,40,20)-
s(24,32,28)c(32,24,20)*t(32,48,28)+
s(32,24,28)c(32,32,12)-s(40,24,28)*
s(32,8,12)t(40,40,12)+s(40,32,20)+
s(32,40,20)s(16,40,20)*t(16,16,12)+
t(24,32,28)s(48,16,20)+s(32,40,20)*
s(40,32,20)t(48,24,12)-t(32,40,28)*
s(48,40,12)s(24,24,20)+s(32,32,12)-
s(32,40,20)s(40,40,20)*t(40,40,20)*
s(24,32,20)t(32,48,28)-s(40,24,12)-
s(32,40,12)s(40,24,12)c(40,32,12)++
t(40,32,12)s(48,16,20)c(48,16,12)-+
t(40,48,20)s(24,32,20)-t(40,40,12)+
t(32,48,28)t(32,40,28)*s(8,32,12)+
s(48,16,20)s(40,16,20)*c(32,32,28)*
t(32,16,12)t(16,16,12)s(16,32,20)++
t(24,48,20)s(24,16,20)+c(24,48,12)-
t(32,48,28)s(16,24,20)c(24,32,20)*+
s(32,40,20)t(24,24,12)-s(40,32,28)*
s(40,24,12)c(16,48,12)+s(16,16,12)+
c(32,32,20)c(48,40,12)t(24,48,28)+-
s(8,48,12)t(40,24,20)s(8,24,12)++
s(48,24,20)s(40,32,20)-c(48,48,12)+
s(40,32,28)c(32,48,12)-s(24,32,12)-
c(32,40,20)c(24,32,20)+s(24,24,20)*
s(40,32,28)t(24,32,28)s(16,40,20)--
s(32,40,20)s(24,48,12)-s(32,32,20)*
s(32,8,12)s(40,24,20)+s(48,32,20)*
s(32,48,20)t(24,40,12)-t(40,48,20)+
s(32,16,20)s(32,24,20)c(24,40,20)+*
s(40,48,20)c(24,40,20)c(32,40,20)**
t(40,32,12)s(24,48,20)+t(40,40,20)-
s(40,24,28)c(40,40,20)*c(40,24,20)*
t(32,32,28)s(24,24,28)*t(48,48,12)+
s(24,40,20)s(32,32,28)*c(32,32,20)*
c(32,32,20)s(24,40,28)t(32,24,20)++
s(24,24,20)s(24,40,28)s(40,24,20)--
s(32,32,20)s(24,48,20)-c(16,16,12)+
t(40,24,20)s(24,32,28)s(40,16,20)--
s(32,32,28)s(24,48,12)s(40,16,20)+*
t(32,32,28)t(24,32,28)s(32,24,28)**
s(24,40,28)t(48,48,12)t(24,24,12)++
c(24,24,20)t(32,48,28)t(32,56,12)--
c(32,24,20)s(16,32,12)t(48,32,12)++
s(40,48,12)c(32,32,20)c(24,32,12)-+
c(40,32,20)c(40,40,20)t(32,24,12)-*
s(24,8,12)s(32,32,12)+c(24,24,20)*
c(24,24,20)t(32,48,20)+s(16,48,20)-
t(40,48,12)t(24,40,20)+t(40,56,12)-
s(32,16,20)t(24,32,28)+s(24,24,20)*
s(32,16,20)s(48,32,12)+t(32,24,20)*
s(16,32,20)t(40,48,12)+s(16,48,20)*
s(40,24,20)s(32,24,20)s(32,40,28)*-
c(32,32,20)s(24,48,20)t(24,40,20)*-
s(24,24,28)t(24,32,28)s(24,40,12)-*
s(16,48,20)t(32,32,20)-c(40,48,12)+
s(40,32,20)c(40,32,20)s(40,40,12)-*
s(40,24,28)s(24,24,28)s(16,16,20)-*
s(32,24,28)s(40,16,12)t(48,24,12)+-
s(32,32,20)s(32,48,20)c(16,48,12)-+
s(32,24,12)c(24,16,12)+s(40,24,28)*
c(40,32,20)s(32,32,20)c(32,24,12)--
t(40,40,20)s(40,40,20)s(24,24,20)-*
c(24,40,20)t(32,40,12)-s(40,40,28)+
s(32,48,20)s(40,48,20)t(24,48,28)*-
c(32,40,12)c(48,16,12)+t(24,48,12)-
c(48,16,12)s(40,40,12)c(40,24,12)++
c(48,48,12)t(32,40,28)s(16,8,12)++
c(24,32,20)s(16,24,20)s(8,24,12)-*
s(24,24,28)s(8,32,12)-s(32,16,12)-
s(48,48,12)s(32,8,12)+s(32,32,20)-
t(16,56,12)t(32,48,12)+t(48,24,12)+
s(48,24,20)s(40,24,20)*s(40,16,20)*
s(40,16,20)c(32,32,12)+s(32,40,28)*
s(40,40,28)s(40,24,12)s(16,24,20)+*
s(40,32,28)s(48,48,20)-c(32,32,12)-
s(32,16,20)s(32,32,28)c(24,40,20)*-
s(16,48,20)s(16,40,20)t(32,48,20)-*
s(32,32,28)c(32,40,20)*s(16,48,20)-
s(32,16,12)c(40,32,20)+t(24,32,28)*
s(24,48,20)t(24,32,20)-s(32,40,28)*
s(32,32,28)s(32,40,28)t(24,48,28)++
s(24,24,28)c(32,40,20)*t(40,16,12)+
s(48,16,12)t(16,16,12)s(8,16,12)++
s(40,16,20)s(24,48,12)+t(16,48,12)-
t(24,16,12)c(16,40,12)+s(40,16,20)-
s(8,48,12)s(24,40,20)t(24,40,12)-+
t(32,32,20)t(48,40,12)+t(40,24,20)-
s(16,48,20)t(24,48,28)t(24,40,12)-*
s(32,24,28)t(40,32,20)t(16,56,12)+*
s(48,48,20)s(32,40,28)*t(40,32,12)-
s(32,24,28)c(32,24,20)s(8,48,12)+*
s(48,16,20)t(40,32,12)c(16,32,12)++
s(16,16,20)c(32,32,12)+s(16,32,20)+
s(24,16,12)s(40,32,20)+t(40,40,20)*
s(32,24,20)s(40,24,20)c(40,32,20)**
s(40,48,12)c(48,48,12)+s(48,40,20)*
c(48,40,12)c(24,32,20)c(16,16,12)-+
s(32,16,20)c(32,48,12)+c(40,24,12)+
s(40,16,20)s(48,32,20)c(24,24,20)--
s(24,24,20)c(48,24,12)+s(24,32,20)-
s(24,40,20)t(24,32,28)t(24,24,12)-*
s(24,40,28)s(40,48,20)s(48,48,12)--
c(40,40,20)s(40,48,20)*c(32,40,20)+
t(48,48,12)s(40,24,20)+c(32,32,12)-
t(48,40,12)s(24,40,20)+t(16,16,12)+
s(40,40,20)s(24,24,28)s(32,40,20)*-
s(24,40,12)s(24,16,20)+t(24,32,20)-
c(32,48,12)c(24,24,12)+s(24,24,12)-
s(24,32,20)t(24,48,28)c(24,40,20)*-
s(24,32,28)s(24,24,28)s(40,40,12)-*
s(40,24,20)c(32,40,12)s(48,16,20)+*
s(48,16,20)s(32,24,12)s(48,24,20)+*
t(24,32,20)s(32,32,20)s(24,40,28)**
t(24,32,28)s(40,48,20)t(24,32,28)-+
s(32,48,20)c(24,48,12)-s(32,24,28)+
s(40,40,20)c(48,32,12)t(40,24,20)+*
s(8,24,12)s(40,40,28)+s(24,48,20)*
c(32,32,28)t(24,48,28)-c(40,24,20)*
s(24,16,20)s(16,24,20)s(24,24,20)*+
s(48,16,12)s(40,40,20)s(24,32,28)*+
c(24,40,20)t(16,24,12)-s(24,40,12)-
c(32,32,28)s(32,16,20)c(24,32,20)*-
c(40,24,20)s(40,48,20)t(32,40,28)+-
s(48,24,20)s(32,48,12)c(40,24,20)+*
s(48,48,20)s(48,40,20)s(40,32,12)-*
s(24,40,20)s(32,32,28)*s(32,16,20)-
c(40,48,12)s(24,48,20)+s(16,40,12)-
t(40,56,12)s(32,40,20)+t(32,48,28)+
s(24,32,20)s(32,40,20)+t(24,32,12)-
c(32,24,20)s(16,32,12)+c(24,40,20)*
s(24,24,20)s(32,32,28)t(16,40,12)-+
s(48,16,20)c(32,32,28)s(48,24,12)--
s(24,40,20)s(40,40,28)+s(32,16,12)+
c(32,48,12)s(16,40,12)+s(32,24,28)-
t(24,32,28)s(32,24,20)t(24,32,20)+*
s(16,32,12)s(24,48,20)s(32,40,28)*+
s(24,24,28)s(40,40,28)*s(48,32,12)-
s(40,24,20)c(32,32,20)s(40,24,28)**
c(24,32,20)t(24,48,28)s(24,32,28)*-
s(8,32,12)t(32,40,20)t(40,40,12)-+
s(24,32,20)s(32,32,20)t(24,48,12)++
s(32,32,20)s(32,16,12)-c(48,24,12)-
t(24,32,28)s(32,40,28)s(40,24,28)**
c(32,40,20)s(40,24,12)t(48,56,12)+-
s(24,24,20)t(40,40,12)t(40,32,12)++
s(40,32,28)s(24,32,28)*t(24,16,12)-
c(32,32,20)c(32,24,12)c(16,24,12)+*
s(24,48,20)s(24,40,20)t(32,32,28)*+
s(16,40,12)c(32,32,20)+s(40,40,28)-
s(32,24,28)s(40,48,12)+s(24,16,20)*
s(48,24,20)s(48,16,20)*t(32,16,12)+
t(40,24,20)s(32,48,12)+s(32,32,28)*
s(32,16,20)c(32,24,20)*s(48,16,12)-
c(24,32,20)t(24,32,28)s(40,40,12)--
c(24,24,20)s(48,16,20)c(32,24,20)*-
s(32,40,12)s(48,40,20)t(40,16,12)++
s(40,32,28)s(48,32,12)-s(24,24,12)-
s(16,16,12)c(32,16,12)+s(24,32,28)*
s(32,32,20)c(24,24,12)-t(48,24,12)-
c(40,32,20)s(32,40,28)*t(32,40,20)-
s(24,48,20)t(24,24,12)t(24,48,28)+*
s(24,32,20)t(40,32,20)-s(24,48,12)-
t(32,32,28)t(32,40,28)t(32,32,12)--
c(32,32,28)s(40,24,28)-s(24,48,20)*
s(16,40,20)s(32,32,20)-s(24,16,12)+
s(16,16,12)s(24,48,20)+t(24,32,28)*
t(32,32,20)c(40,24,20)s(24,24,28)**
c(32,24,20)c(48,32,12)+s(24,40,28)*
s(40,8,12)s(16,40,20)+c(24,24,12)-
s(24,32,20)c(32,32,12)-t(32,32,20)-
s(32,24,28)s(48,32,20)+t(48,40,12)-
s(40,40,20)c(32,24,12)+s(48,48,20)*
s(40,40,20)t(24,48,20)-t(32,40,28)*
s(32,32,20)s(32,48,20)s(40,40,20)*-
c(24,32,20)s(32,40,28)s(40,48,20)*-
c(40,24,20)s(8,48,12)+s(32,40,20)-
c(24,40,20)t(32,48,28)*t(40,32,20)+
s(32,24,12)t(16,16,12)+t(32,48,12)+
t(32,32,28)t(32,48,12)+c(40,24,20)-
s(32,32,20)s(32,16,20)s(48,32,20)+*
t(32,24,20)c(32,40,20)+s(16,48,20)+
t(32,32,28)t(32,48,28)s(32,32,28)**
t(40,48,20)c(32,40,20)t(32,56,12)-+
s(32,24,28)s(40,24,28)c(40,32,12)--
c(24,40,20)c(24,32,20)*t(24,24,12)-
c(24,32,20)t(40,40,20)+s(40,16,12)+
s(40,32,12)s(24,32,28)s(32,48,20)-+
s(32,40,28)c(48,48,12)t(24,40,20)+-
c(48,24,12)t(32,40,20)c(32,24,12)-+
t(16,16,12)c(32,32,20)c(32,40,20)*+
s(32,40,28)t(16,40,12)s(48,16,20)+-
s(32,40,28)t(24,40,28)t(40,24,12)+*
s(32,48,20)s(48,48,12)t(24,16,12)+-
s(24,48,12)c(40,40,20)s(24,40,28)*+
t(40,32,20)s(48,32,20)c(40,24,20)**
t(24,48,20)t(32,40,28)*c(32,40,12)+
s(16,32,12)s(16,48,12)+t(32,40,20)-
s(40,40,28)c(48,24,12)-s(8,24,12)+
c(32,24,20)c(16,40,12)-c(40,24,20)*
s(32,24,28)s(40,32,28)*c(48,48,12)+
c(40,24,12)t(40,40,20)+t(24,40,12)+
t(32,48,28)s(40,40,28)t(48,40,12)-*
s(32,40,28)t(40,48,20)-s(16,32,20)*
s(32,40,28)s(24,24,20)s(8,24,12)-*
s(48,24,12)s(16,40,20)+c(24,24,20)-
s(40,24,28)s(48,40,12)-t(32,32,20)*
s(16,48,20)t(16,40,12)-s(24,32,20)+
s(48,16,20)t(32,48,28)t(24,40,28)-+
s(24,40,28)s(40,40,28)s(48,24,12)--
s(24,48,20)s(32,40,12)-t(40,32,12)+
s(40,32,28)s(40,40,28)s(24,32,20)*-
c(40,24,12)c(24,24,20)+t(24,40,28)+
c(16,24,12)s(24,40,20)c(40,32,20)++
s(32,8,12)s(48,32,20)+c(48,16,12)-
s(48,48,12)s(24,40,12)+s(16,32,12)-
c(40,24,12)s(32,40,20)s(24,48,20)*+
c(40,40,20)s(32,40,28)*s(32,24,12)+
s(40,48,20)s(24,16,12)+s(40,32,28)*
s(40,24,28)s(40,8,12)-s(24,8,12)-
s(40,32,20)t(40,32,12)-s(32,40,12)-
s(32,40,20)s(40,24,12)+s(24,40,28)*
s(32,48,20)s(32,32,28)s(48,48,20)+*
s(40,24,28)s(32,24,28)+c(24,24,20)*
c(24,24,12)s(40,24,20)t(32,32,28)*+
s(16,16,20)t(32,56,12)t(48,32,12)++
c(32,32,20)s(40,48,20)c(16,16,12)+*
s(40,40,28)t(16,48,12)+c(40,24,12)-
s(32,32,12)s(32,8,12)+t(24,24,20)+
s(24,40,28)c(32,32,20)t(32,40,28)**
c(40,40,20)s(32,16,20)+s(40,32,28)+
t(32,32,28)s(32,24,20)*s(16,32,20)+
t(24,40,28)s(24,24,20)s(32,32,28)**
s(16,40,12)t(48,40,12)c(16,48,12)++
c(32,32,28)c(16,16,12)s(24,24,20)+-
s(32,16,20)c(32,32,20)+s(40,40,20)*
c(16,48,12)t(24,32,28)+t(32,48,20)-
c(24,32,20)c(32,40,20)*c(32,16,12)-
s(16,40,20)c(40,48,12)+s(40,48,20)-
t(24,40,28)s(32,32,28)s(40,32,20)-*
t(32,32,28)s(32,40,28)s(32,24,20)*-
s(40,40,28)s(32,8,12)s(40,24,20)+*
s(24,40,28)t(32,32,28)*s(32,16,20)-
s(40,48,20)t(24,32,12)+s(48,40,12)-
c(40,32,20)c(32,32,20)t(32,40,28)**
s(40,24,28)c(40,32,20)*s(32,40,28)*
c(32,40,20)c(24,24,20)*t(32,40,28)*
c(40,32,20)s(24,48,20)+t(48,24,12)-
t(16,56,12)s(40,48,20)c(32,32,12)-+
t(48,16,12)c(24,32,20)s(16,40,20)*+
s(16,24,20)t(16,56,12)+t(24,40,28)*
s(40,32,28)s(40,16,12)s(24,16,20)+-
c(40,32,12)s(24,40,20)c(24,24,20)*+
c(40,32,20)s(24,40,20)s(32,40,20)**
c(24,24,20)t(24,40,28)t(24,32,28)**
c(24,24,20)s(24,32,12)-c(32,24,12)-
s(8,48,12)t(24,48,28)s(24,40,28)*+
s(48,40,20)s(48,24,20)s(48,24,12)--
s(24,24,12)s(40,8,12)+s(32,40,20)-
c(24,24,12)c(48,48,12)+c(24,32,20)*
s(32,24,28)s(32,32,12)c(40,24,12)+-
s(16,32,20)s(24,24,28)*c(24,40,20)*
t(24,48,28)c(48,24,12)c(24,48,12)+*
t(40,40,20)s(48,48,20)+t(40,32,12)-
s(32,32,20)t(24,24,20)s(24,40,12)+*
s(32,48,20)c(24,24,12)+s(48,32,12)+
c(40,40,20)c(24,24,20)s(32,32,20)*-
s(24,24,28)s(32,32,12)c(32,40,12)+*
s(24,32,20)t(48,16,12)+s(16,16,12)-
s(24,48,20)c(32,40,20)t(24,32,20)+*
c(24,24,20)s(32,16,20)*t(24,32,20)-
c(32,32,20)t(16,32,12)-s(32,48,20)-
c(32,32,20)s(48,40,20)t(32,40,28)*+
c(32,40,20)c(24,48,12)-c(48,32,12)-
t(24,24,20)c(48,32,12)+s(32,16,20)*
c(32,40,20)s(40,48,20)t(32,56,12)--
s(40,32,28)s(24,32,28)*c(40,16,12)-
s(48,16,12)t(40,40,12)+s(8,8,12)+
t(24,56,12)s(40,40,20)s(48,48,20)-+
t(24,32,28)c(32,40,20)s(40,32,28)**
s(40,24,28)t(24,32,12)-s(48,40,20)*
s(48,40,20)c(32,24,12)-s(16,48,12)+
s(40,32,28)s(32,24,28)s(16,32,20)*+
s(24,40,28)s(24,48,12)-t(32,32,20)+
t(32,40,28)s(32,48,20)*s(8,32,12)+
s(16,32,20)c(48,40,12)+t(40,24,20)-
s(40,16,20)t(32,24,20)-s(48,32,20)+
t(24,40,20)c(24,32,20)t(32,40,28)**
s(24,40,28)s(24,24,28)t(24,48,12)+*
s(32,40,28)s(40,48,20)*c(16,32,12)+
c(24,32,20)c(24,24,12)-t(40,48,20)-
s(32,32,20)t(24,24,12)-t(40,32,20)*
s(24,32,20)s(16,48,20)-t(16,32,12)-
t(24,48,28)s(24,48,20)t(24,40,28)**
s(24,40,28)s(32,32,28)s(40,24,20)+-
s(8,48,12)s(32,40,28)c(16,32,12)-+
s(32,32,28)c(24,40,20)t(32,24,12)-*
s(32,16,12)s(48,40,20)+c(24,16,12)-
t(32,56,12)c(16,32,12)+s(16,16,20)+
s(40,24,28)t(32,32,20)s(48,48,12)+*
s(40,32,28)t(24,32,28)*s(24,32,20)*
c(48,40,12)c(48,16,12)+s(48,40,12)-
s(32,48,20)t(32,40,28)*c(40,40,20)*
t(32,48,28)s(40,48,20)t(32,56,12)--
s(32,48,20)c(24,24,20)c(40,40,20)-+
c(32,32,20)s(32,32,28)s(16,32,20)**
s(32,40,28)t(40,40,20)-s(24,32,28)*
t(24,40,12)s(32,16,12)s(24,16,12)++
s(32,32,20)s(8,16,12)+s(32,40,20)*
s(32,40,20)s(16,16,20)+s(24,32,20)*
t(24,32,28)s(48,32,20)-s(16,24,12)-
s(16,40,20)c(48,32,12)+c(48,40,12)+
c(24,16,12)t(32,32,20)+t(32,40,12)-
t(32,32,20)t(32,48,20)-s(32,40,20)+
s(40,24,28)s(16,32,20)s(48,16,12)+*
s(24,48,20)t(32,40,28)*s(40,40,28)*
t(24,40,28)s(24,32,20)*s(24,24,28)*
t(24,32,20)s(24,24,20)s(16,8,12)+*
t(32,48,20)c(48,40,12)+s(48,32,20)-
t(48,48,12)c(16,32,12)+t(24,48,28)+
s(48,48,20)s(16,48,20)+s(32,40,20)*
s(32,24,28)t(24,48,20)s(48,40,20)+*
c(40,24,20)t(40,24,20)-s(32,32,20)+
t(32,40,28)s(48,40,12)s(24,16,12)+-
s(40,40,28)s(48,48,12)-s(16,40,20)-
s(48,40,20)c(24,32,20)-c(16,32,12)+
c(32,40,12)t(40,24,20)+t(32,32,28)*
s(16,16,12)s(8,8,12)+s(16,24,20)+
t(40,48,20)t(40,32,12)+s(16,48,20)-
t(24,32,12)t(32,48,12)t(40,40,12)++
c(40,24,20)s(16,16,20)s(32,16,12)+-
t(32,32,28)s(32,40,20)*c(24,40,20)*
c(24,40,20)s(32,40,12)-t(32,32,28)*
s(24,24,20)s(16,32,20)-s(16,48,12)+
s(40,32,28)t(48,40,12)-s(24,24,28)*
c(32,40,20)t(40,40,12)-c(16,24,12)-
s(40,40,28)t(32,24,12)-s(48,40,20)-
s(40,16,20)s(40,32,28)t(16,48,12)+*
c(40,32,12)t(48,40,12)t(48,24,12)++
s(32,48,20)s(24,48,20)s(16,40,12)-*
s(48,32,20)s(40,24,20)s(32,24,20)*+
t(24,48,28)t(24,40,28)t(32,40,28)**
t(40,48,12)s(16,24,20)+s(40,40,28)*
t(32,16,12)t(32,32,28)c(24,40,20)*+
s(16,16,20)c(32,32,20)s(32,24,20)*-
c(40,24,20)c(32,32,20)s(24,16,20)-*
s(32,32,28)t(32,48,28)*c(40,32,20)*
s(24,24,20)s(32,32,28)s(32,16,20)*-
c(48,48,12)s(32,32,28)c(24,24,20)-+
c(32,32,28)s(16,32,20)*c(24,24,12)-
s(16,40,20)t(40,40,20)s(40,48,20)+-
t(40,24,20)s(40,40,28)s(40,24,28)**
s(40,16,20)s(32,40,28)t(24,32,28)*-
s(32,40,20)s(16,32,20)s(24,24,20)+*
t(32,24,20)s(24,32,28)*s(24,24,20)*
s(24,40,28)s(16,32,12)-c(40,32,20)*
c(24,24,20)s(48,48,20)s(24,24,12)+-
s(48,8,12)s(16,40,20)c(32,40,20)*+
s(24,32,20)c(40,24,20)c(24,40,20)-+
s(24,24,28)t(24,40,28)*s(24,24,20)*
s(32,32,28)t(32,40,12)-t(16,40,12)-
s(24,40,28)s(32,32,20)c(40,32,12)--
s(16,32,20)c(16,16,12)-t(32,24,12)-
s(40,40,28)c(24,40,20)*s(48,40,12)-
s(16,8,12)s(40,32,20)+c(48,16,12)-
c(32,32,20)c(48,16,12)t(24,56,12)+-
t(32,48,28)t(32,40,28)c(32,24,20)*-
s(32,16,20)s(8,16,12)+s(32,32,28)-
s(32,48,20)c(24,32,20)c(32,40,20)*+
c(32,32,20)t(32,32,20)-s(16,48,20)-
c(32,32,28)s(48,24,12)s(16,40,20)+*
s(40,32,20)c(24,40,20)-s(40,40,20)+
c(40,40,12)t(16,48,12)+c(24,32,12)-
s(24,24,20)t(32,40,20)s(40,16,20)+-
s(32,24,28)s(48,40,12)-s(32,16,20)-
s(40,16,20)t(24,32,20)s(8,32,12)--
s(32,24,28)t(16,40,12)c(40,24,20)+*
c(32,40,20)c(40,24,20)*s(24,32,28)*
c(40,40,20)s(24,48,20)t(40,40,20)++
s(24,40,28)s(48,40,20)+s(40,40,12)-
s(40,32,28)c(24,24,20)-c(32,48,12)-
s(16,40,20)t(40,48,20)+s(40,24,20)-
s(24,32,28)c(24,40,12)-c(32,40,20)-
t(32,16,12)s(16,8,12)+t(24,32,20)-
s(8,24,12)c(40,48,12)+s(32,16,20)+
c(32,32,20)c(16,16,12)-s(48,48,20)-
c(24,48,12)s(24,40,28)s(40,32,20)*+
s(8,40,12)t(32,24,12)+s(16,24,20)+
s(8,8,12)s(32,16,20)s(24,16,20)*+
s(40,32,20)c(32,40,20)s(24,24,28)*-
t(24,40,28)s(24,24,28)t(32,32,28)**
c(32,32,20)s(24,48,12)-t(24,40,28)-
c(16,16,12)t(24,40,20)+s(32,8,12)+
c(48,48,12)s(40,32,20)+s(48,48,20)*
t(24,40,12)s(24,24,20)t(40,24,20)-+
t(40,48,12)s(32,16,12)s(16,40,20)++
t(32,40,20)s(24,16,20)s(8,8,12)--
s(48,16,20)s(40,40,20)+s(32,32,28)*
t(32,32,28)s(32,40,28)*c(40,24,12)-
t(24,48,28)c(16,48,12)s(24,32,20)+*
s(40,24,28)c(24,24,20)-s(40,40,28)*
s(48,16,20)s(48,32,20)c(32,40,20)*-
s(32,32,20)t(32,48,28)s(40,40,28)*-
t(24,48,28)c(24,32,12)c(24,40,12)+-
c(32,24,20)s(24,24,20)+s(48,32,20)*
s(24,24,28)c(32,40,20)-s(16,16,20)*
s(40,8,12)c(24,40,20)c(24,24,20)++
s(24,48,20)t(24,40,28)*t(32,48,28)*
s(48,48,20)c(32,32,20)s(24,32,28)*-
c(40,48,12)s(24,24,12)+t(40,24,20)-
s(24,24,20)s(24,48,12)s(16,16,12)+-
s(48,40,20)s(40,24,28)s(48,24,20)--
s(32,32,20)c(32,32,28)s(40,40,12)-*
s(40,32,20)s(48,48,12)c(24,24,12)+-
c(40,40,20)t(40,16,12)+s(32,40,28)*
c(24,24,20)s(24,40,28)t(32,32,20)**
s(40,24,28)s(24,16,20)*s(24,32,12)+
s(24,40,20)s(24,32,20)+s(40,48,12)-
s(32,24,28)s(24,32,28)c(40,40,20)**
s(24,16,12)t(40,40,20)s(48,16,20)-+
c(24,24,20)s(32,32,28)c(24,32,20)+*
c(24,40,20)s(16,40,20)*t(32,40,28)*
s(48,32,20)s(24,40,28)-s(32,40,20)-
c(24,32,20)c(24,40,12)-t(32,32,28)*
s(48,32,20)s(48,16,20)t(32,32,28)-+
t(32,40,28)c(40,40,20)*t(24,32,28)+
s(48,40,12)s(16,32,12)+s(16,40,20)+
s(40,32,28)c(32,40,20)t(40,48,12)--
s(32,16,12)s(32,40,28)+s(48,24,20)*
s(24,32,20)t(24,48,28)s(32,40,20)*-
c(40,32,20)c(32,24,20)*s(32,48,20)-
t(24,32,28)s(48,8,12)s(24,24,20)+*
s(40,24,12)c(40,40,20)s(48,24,20)*+
s(32,24,20)c(16,24,12)-s(24,24,12)-
s(24,40,28)s(32,32,12)-s(40,32,28)-
t(32,24,20)s(48,32,20)s(32,16,20)+*
c(40,40,20)t(32,48,20)*s(24,48,20)+
s(40,24,20)s(32,32,28)c(40,24,20)**
t(32,48,28)s(40,40,28)s(32,40,12)--
t(32,56,12)c(16,40,12)s(16,16,12)++
s(48,24,20)s(24,32,28)+s(24,40,28)*
t(40,16,12)c(16,24,12)s(48,48,20)++
c(32,40,12)s(16,24,20)+t(24,48,20)-
t(40,40,20)c(40,32,20)s(24,32,28)--
c(40,24,20)t(40,24,20)-c(40,32,12)+
s(16,48,20)t(16,40,12)-c(24,40,12)-
c(48,40,12)s(24,8,12)+c(48,32,12)-
s(40,32,20)t(32,48,20)-s(40,32,12)-
c(40,24,20)c(48,16,12)s(48,32,20)+*
c(32,32,28)s(24,24,28)*s(48,24,20)-
c(48,32,12)c(48,16,12)+s(32,40,28)-
s(24,32,28)t(40,24,20)t(32,48,28)+*
s(40,32,20)t(48,16,12)-t(32,40,12)-
t(24,32,28)s(24,40,20)s(40,40,28)**
t(32,48,28)c(40,32,20)s(24,32,20)*+
s(24,8,12)s(40,8,12)+t(32,48,28)+
c(24,40,12)s(48,40,20)t(40,48,12)-+
s(32,48,20)s(24,24,12)+c(32,32,20)*
c(32,32,28)s(24,24,20)-c(24,32,20)+
s(40,40,28)s(40,32,28)s(32,24,28)-*
s(32,40,28)s(40,24,20)*c(48,48,12)+
s(8,24,12)s(16,24,12)t(40,16,12)++
t(32,40,28)t(16,48,12)-c(32,48,12)-
s(40,32,28)s(32,24,20)+s(16,16,20)+
s(48,48,20)t(32,48,12)+s(24,40,28)*
s(32,40,28)s(40,24,28)c(40,32,20)**
c(48,16,12)c(32,24,20)+t(32,24,20)-
c(24,24,20)t(32,40,28)s(40,40,28)**
t(24,40,28)c(24,40,20)+s(32,24,28)*
s(32,40,28)t(24,32,20)s(24,24,20)*-
t(48,32,12)c(16,40,12)+s(24,48,12)-
t(24,48,28)s(24,48,20)*t(16,32,12)+
t(32,48,20)t(16,48,12)s(32,40,20)+*
s(24,32,28)s(32,40,12)-s(24,16,20)+
t(40,24,12)c(24,24,12)+s(32,24,20)*
t(32,16,12)s(16,40,12)s(48,48,12)++
s(32,40,28)c(32,32,12)c(48,40,12)+*
t(32,32,28)s(32,40,20)t(32,48,28)**
s(40,24,28)s(40,32,12)-t(24,32,28)*
s(40,24,28)c(48,40,12)t(40,40,20)+*
s(16,32,20)s(40,40,28)s(24,32,20)+*
s(40,32,20)s(32,40,20)*s(24,48,12)-
t(24,32,28)t(24,48,28)*s(40,48,20)+
s(24,24,20)c(24,32,20)s(40,24,12)-*
s(32,40,20)t(24,24,12)c(24,16,12)++
s(24,48,20)s(16,48,20)*t(24,32,20)-
s(16,32,20)s(48,40,12)+t(32,40,28)*
s(8,32,12)s(40,16,12)+t(40,40,12)+
c(48,32,12)s(8,48,12)+s(8,40,12)-
c(40,32,20)c(40,16,12)+s(24,32,20)*
c(16,32,12)t(16,24,12)c(40,24,20)++
s(40,16,20)s(48,32,20)s(48,16,20)*-
c(32,32,20)s(48,16,12)s(8,24,12)+-
t(32,24,12)t(24,40,28)c(32,40,20)*+
c(40,32,20)s(40,24,28)*s(48,32,20)*
s(40,24,28)c(40,40,20)+t(32,40,20)-
s(48,24,20)s(40,16,20)+t(16,24,12)+
s(40,48,20)s(48,24,20)-s(40,24,12)+
c(32,32,20)c(32,40,20)c(16,40,12)--
s(48,32,20)s(48,24,20)s(16,16,20)+*
s(24,32,28)s(16,16,20)-t(24,48,28)-
c(32,32,20)s(40,24,28)s(8,24,12)+*
s(16,16,20)s(16,24,12)-t(32,32,20)-
s(16,48,20)s(40,24,20)+s(16,16,20)+
s(24,24,28)s(40,24,12)-c(16,32,12)-
s(40,24,20)t(32,24,12)-t(32,48,20)+
s(32,40,28)t(24,32,28)*s(24,24,20)*
s(32,24,28)c(32,40,20)+t(24,48,20)-
s(48,48,20)c(40,40,20)t(24,48,12)-*
c(48,48,12)t(16,56,12)+s(24,24,20)+
c(40,40,20)s(32,24,20)-s(48,40,12)-
s(16,16,20)t(48,40,12)s(24,40,28)+-
s(8,16,12)s(40,24,20)s(32,40,28)*+
s(32,16,12)t(32,40,12)+s(32,24,28)*
s(40,40,20)c(24,24,20)t(48,40,12)+*
c(32,24,12)c(24,24,12)+t(24,48,28)-
s(24,32,20)t(32,32,28)t(24,40,20)+*
s(32,40,28)t(40,24,20)-s(48,48,20)*
s(32,48,20)s(24,48,20)*c(24,40,20)*
s(32,40,20)s(32,32,28)s(48,32,20)*-
t(48,16,12)c(24,40,20)+t(24,48,28)*
c(32,32,20)c(16,16,12)t(32,32,28)++
t(32,24,20)t(24,40,20)t(16,24,12)+-
s(32,40,20)c(48,48,12)-t(24,32,28)*
s(48,24,20)s(8,40,12)+t(24,32,28)-
s(16,24,20)c(48,16,12)+c(40,32,20)*
s(32,40,28)s(24,24,12)-t(32,32,20)*
c(32,40,20)c(16,48,12)-c(40,40,20)*
s(24,40,20)t(32,32,28)*s(40,32,28)*
s(40,24,20)s(32,32,28)t(24,40,20)-*
c(32,32,20)s(32,40,28)s(48,48,20)-*
c(24,32,20)t(40,48,20)+s(24,40,28)*
s(48,48,12)c(32,24,20)+s(48,24,20)*
s(24,48,20)t(16,56,12)-c(40,40,20)*
s(32,32,28)s(32,24,20)-s(24,48,12)-
c(32,24,20)t(40,24,12)-s(16,32,20)*
c(24,24,20)t(32,24,12)-t(32,32,20)-
t(32,32,28)t(48,56,12)c(32,48,12)++
c(32,32,28)s(48,24,20)s(24,40,28)-*
t(32,24,20)s(40,32,20)+s(24,24,28)*
s(32,24,28)s(24,40,28)*s(8,16,12)+
c(40,24,20)t(16,32,12)c(40,24,12)++
s(24,32,20)s(32,8,12)s(40,32,20)+*
s(40,40,28)t(24,32,20)-s(24,40,12)+
s(24,8,12)s(48,8,12)+t(24,32,28)+
t(40,40,20)c(32,32,20)*c(24,32,12)-
t(32,40,12)c(24,32,12)+s(24,40,20)*
s(40,32,28)s(24,40,28)*t(32,48,12)-
s(32,32,20)s(32,24,20)*s(24,48,20)-
s(40,32,28)t(32,56,12)t(16,24,12)++
t(16,56,12)c(24,24,20)+s(32,32,20)*
s(40,40,28)s(24,32,28)-c(40,32,20)*
c(40,40,20)t(24,32,20)+t(24,48,28)-
s(32,16,20)s(40,40,28)s(40,24,28)-+
t(24,24,20)s(16,48,20)+c(32,32,20)*
c(40,40,20)s(24,32,12)-t(32,48,12)-
s(24,24,20)t(24,40,12)+c(16,48,12)+
s(24,24,20)s(40,32,28)*c(24,32,12)+
c(32,16,12)t(40,48,12)+t(32,40,28)+
s(40,32,20)c(40,40,20)*s(32,32,20)*
t(24,32,28)t(16,32,12)-s(32,48,20)-
t(40,48,20)c(32,32,28)c(48,16,12)-*
s(16,24,12)s(32,24,12)+s(32,40,28)+
s(40,24,20)s(32,24,28)s(24,40,12)-*
c(24,24,20)c(40,40,20)+c(40,32,20)-
s(16,48,12)t(32,40,20)+c(32,32,12)-
s(24,24,28)t(16,56,12)+c(24,40,20)*
s(40,32,12)s(24,24,12)c(32,32,12)++
s(24,40,28)c(32,32,20)s(24,32,28)*-
s(32,40,28)s(48,48,20)t(24,48,28)--
s(40,48,20)s(32,16,12)+c(40,24,20)*
s(48,32,20)s(24,24,28)+c(24,40,20)+
c(40,24,20)s(24,24,20)*t(32,40,12)+
t(40,16,12)s(8,24,12)+s(32,24,12)-
c(24,40,12)c(24,24,20)s(16,32,12)-+
s(40,24,28)c(40,24,20)s(48,16,20)*-
s(24,32,20)t(24,48,20)+s(24,48,12)-
t(32,40,28)s(16,24,20)+t(32,24,20)-
t(24,40,28)s(40,48,12)-t(32,24,20)-
c(32,32,28)s(40,24,28)*s(48,40,20)*
t(40,56,12)c(24,24,20)s(24,32,28)++
t(40,40,20)s(40,16,20)s(24,16,12)+-
s(24,48,20)s(32,40,28)+s(32,32,28)*
t(32,48,28)t(32,32,12)-c(40,32,20)+
c(24,24,20)c(32,24,20)*s(32,16,20)*
s(24,40,28)s(16,48,20)t(16,56,12)-*
s(24,24,28)s(48,32,20)-c(24,40,20)*
s(40,24,28)c(48,24,12)-c(24,40,20)-
c(40,40,12)t(32,48,28)+t(48,56,12)-
c(16,16,12)c(32,40,20)s(40,40,28)*+
t(32,40,12)s(32,16,20)+c(32,16,12)-
s(40,16,12)s(24,32,12)s(16,40,12)++
s(32,24,28)s(24,40,20)-t(32,16,12)-
s(16,32,20)s(8,32,12)-s(32,32,28)*
s(32,32,20)s(16,16,20)s(40,24,20)+*
t(24,32,20)s(48,32,20)-s(40,24,28)+
s(48,40,20)t(32,56,12)c(32,24,12)+-
s(16,32,12)s(32,48,20)c(24,32,20)*+
t(32,40,20)s(32,40,28)s(24,32,12)-*
c(40,24,20)s(40,32,28)s(48,40,20)-*
t(16,48,12)s(40,16,20)s(48,16,20)*+
s(24,32,20)s(16,32,20)c(24,40,20)**
t(40,48,20)s(24,32,20)-t(16,32,12)+
s(32,32,28)c(32,32,28)t(32,40,20)--
t(24,40,28)t(40,40,12)-t(32,32,28)*
s(48,32,20)t(40,40,20)-c(40,40,12)+
c(40,40,20)c(24,40,20)*t(24,32,12)-
t(40,16,12)t(32,48,28)s(16,32,20)++
t(32,56,12)c(40,24,12)+s(40,24,20)*
s(40,40,28)s(48,24,12)c(24,40,12)+*
s(24,40,28)t(24,48,28)*c(40,40,20)-
s(48,32,20)s(48,40,20)*s(40,40,20)*
s(48,24,20)s(24,32,20)s(48,40,20)+-
s(16,40,20)s(24,32,28)*t(24,40,28)*
t(24,48,28)t(40,24,12)s(48,48,20)+-
s(24,40,20)s(32,24,20)s(16,24,20)+*
s(32,32,28)t(32,32,20)-s(24,32,20)-
s(32,24,12)s(48,32,12)+s(32,24,28)*
t(32,48,28)s(32,32,28)*s(48,24,20)-
s(40,16,20)s(40,40,28)c(40,48,12)--
t(32,48,28)s(40,16,12)t(32,32,28)+*
s(24,32,20)c(40,24,20)s(8,48,12)+-
c(24,32,20)t(32,32,12)-s(32,32,12)-
s(40,40,28)t(24,24,20)-s(40,48,20)-
s(24,32,28)s(48,32,20)+t(48,32,12)-
s(32,24,28)s(48,32,20)s(40,40,28)**
s(48,32,20)t(24,48,12)+s(40,48,20)+
s(40,40,28)c(24,32,12)-s(32,48,20)-
s(16,24,20)s(16,32,12)-c(16,16,12)+
s(48,40,20)s(40,24,12)s(48,48,20)+*
s(32,40,20)t(24,40,28)s(16,24,12)-*
s(32,32,20)s(48,24,20)-s(8,16,12)+
s(48,24,20)s(32,32,28)s(32,16,20)+*
t(48,24,12)s(24,32,28)+s(32,24,20)*
s(8,48,12)s(48,32,20)+s(32,32,20)+
t(40,32,20)s(32,24,28)s(16,48,20)-*
s(8,48,12)c(40,48,12)+c(48,40,12)-
s(24,32,28)s(32,32,28)*s(40,40,28)-
s(24,8,12)t(40,16,12)+s(40,48,20)+
s(32,32,20)s(16,32,20)*s(40,32,20)+
s(24,40,20)s(8,32,12)-s(32,32,20)*
s(16,8,12)c(32,32,28)s(16,40,20)*+
s(32,32,20)t(40,32,20)s(16,8,12)++
s(48,40,20)t(16,56,12)s(32,24,12)++
c(24,24,20)t(24,32,28)c(16,48,12)-*
c(40,32,20)s(40,24,28)*c(24,24,20)*
t(32,48,28)c(40,24,12)t(40,32,12)+-
c(24,32,20)t(24,48,28)c(32,40,20)*-
t(40,16,12)t(32,32,12)t(40,40,12)++
c(24,40,20)c(40,40,20)*c(48,40,12)-
s(16,32,20)s(24,40,28)*c(32,32,12)+
c(32,32,12)c(16,16,12)+t(40,24,12)-
c(32,32,20)c(40,16,12)-s(16,32,12)-
s(32,24,28)s(48,24,12)-t(32,48,28)-
s(24,24,20)s(48,32,12)+s(40,32,12)-
c(24,40,12)s(8,32,12)+c(32,32,20)*
s(24,32,28)s(24,24,28)c(24,32,20)*-
s(32,32,20)c(32,48,12)-c(16,24,12)-
t(24,32,28)s(48,48,20)-t(24,40,12)-
s(32,48,20)t(24,40,28)s(16,24,20)-*
t(24,48,28)s(40,24,28)-s(24,40,28)*
s(48,48,20)t(24,48,28)-t(32,24,12)+
s(40,16,20)s(24,24,12)s(24,48,20)+-
t(32,48,20)c(16,16,12)+s(24,24,20)+
c(24,32,20)s(48,40,20)s(24,32,20)+*
s(48,32,12)c(24,32,20)s(16,40,20)*+
s(16,24,12)s(40,40,12)+t(32,48,20)-
s(40,40,28)s(24,8,12)s(16,8,12)++
c(24,24,20)t(24,48,20)+s(32,40,20)*
t(32,48,28)s(16,16,20)s(48,32,12)++
s(48,32,12)c(32,24,20)+c(40,32,20)*
c(40,24,12)s(48,40,20)t(40,40,20)*+
s(16,48,20)c(24,40,20)t(24,24,20)-*
s(8,32,12)t(32,24,20)t(24,16,12)-+
s(24,32,28)c(32,32,20)*s(32,32,20)*
s(24,32,20)s(24,16,20)+c(40,24,12)-
s(24,32,20)c(24,32,20)c(32,32,20)**
t(24,48,28)t(24,40,12)-c(40,32,20)-
s(24,32,28)s(32,32,28)s(48,40,20)--
t(32,32,20)t(24,48,28)+t(32,32,28)*
s(24,40,28)s(32,24,20)*s(24,48,20)+
t(32,48,28)t(32,40,28)c(16,32,12)+*
c(24,24,20)t(40,24,20)c(48,32,12)++
s(48,40,20)c(24,40,20)s(40,32,28)*-
s(24,32,20)s(32,16,20)s(32,32,20)*-
t(32,48,28)t(40,56,12)s(24,32,28)++
c(32,24,20)s(40,16,20)-s(24,8,12)-
t(24,16,12)s(24,32,20)+s(32,32,28)*
s(32,24,28)c(32,24,12)t(32,40,28)+*
s(24,24,20)s(24,48,12)+s(48,40,20)+
t(32,40,28)s(24,32,28)s(32,40,28)**
s(40,24,28)s(48,40,20)-s(32,48,20)-
t(48,40,12)s(40,16,12)+s(32,24,28)*
s(40,24,20)s(32,16,12)-s(32,16,12)+
t(24,48,12)s(40,40,20)+c(48,32,12)+
s(40,40,20)c(40,40,12)c(24,48,12)+*
c(32,32,20)c(32,40,20)c(40,40,12)-*
s(40,40,28)s(32,24,28)s(32,32,28)*-
t(32,40,28)s(40,40,20)t(40,40,12)-*
t(24,32,28)t(32,32,28)*c(40,32,20)*
t(48,32,12)c(32,16,12)+c(32,40,20)-
c(32,24,20)s(48,16,20)-s(40,16,12)+
s(24,24,28)s(24,24,20)-t(32,40,20)+
t(32,48,12)s(40,24,28)t(24,40,28)*+
s(24,24,28)s(16,32,20)+s(32,48,20)+
s(32,24,28)s(32,40,28)t(40,40,20)--
s(40,32,28)s(40,24,28)*c(32,24,20)*
s(48,48,20)t(48,32,12)+s(48,40,20)*
s(24,24,28)s(32,16,20)c(40,32,12)-*
c(40,24,20)s(48,16,12)-t(24,32,28)-
s(32,24,20)t(32,32,28)t(32,40,28)**
c(40,24,20)s(48,24,12)-s(24,32,12)-
c(32,40,20)s(32,24,28)+s(48,48,20)*
s(48,16,20)c(40,24,20)s(16,24,20)-*
s(40,32,20)c(48,24,12)+c(40,40,12)-
s(16,40,20)s(48,48,12)+s(32,32,12)-
s(24,16,12)s(24,48,20)+s(16,48,20)*
c(24,32,20)s(32,8,12)s(16,24,20)+*
c(24,32,20)s(40,32,20)s(24,8,12)+*
s(32,32,28)t(32,16,12)-c(48,40,12)-
c(32,16,12)s(24,32,20)+s(48,32,20)-
t(32,40,28)s(48,24,20)-s(32,48,20)*
c(32,40,20)t(24,32,28)s(16,24,12)--
s(40,32,20)s(32,40,20)-c(48,16,12)+
s(24,32,28)s(32,24,28)*c(40,40,20)*
c(32,32,20)c(24,24,20)*t(24,32,28)*
s(40,32,28)c(32,40,20)t(32,40,28)*-
s(48,24,20)t(48,40,12)s(40,24,20)+*
s(24,16,20)s(32,32,20)s(16,8,12)+*
s(40,32,20)s(24,16,20)c(32,24,20)*-
s(40,40,20)s(16,24,20)s(32,48,20)+*
s(48,32,20)s(40,48,20)t(32,48,20)*+
s(24,40,28)s(40,16,20)-s(48,48,20)+
c(40,40,12)s(40,32,20)s(16,24,20)-+
s(24,24,20)s(32,32,12)-t(40,16,12)+
s(24,32,28)s(40,16,20)-t(32,40,20)*
s(24,24,28)s(40,40,20)s(16,32,20)--
t(24,32,20)t(24,40,28)c(32,40,20)**
s(32,16,20)s(32,24,12)-t(24,40,12)+
s(32,32,20)s(24,24,28)t(24,40,20)-*
t(24,40,28)s(32,32,20)s(24,24,28)*-
t(24,40,20)s(40,32,12)+t(16,16,12)+
s(48,40,20)s(24,24,20)s(24,40,28)*+
s(40,48,12)s(24,16,12)+s(8,16,12)+
c(40,40,20)s(32,24,20)s(24,32,28)*-
c(24,40,20)c(40,32,20)*s(40,24,12)-
c(40,24,20)t(16,32,12)+c(40,32,20)*
t(24,40,12)s(48,24,20)+c(40,32,20)*
t(32,48,28)c(32,40,20)*s(32,40,12)-
s(40,24,28)c(24,24,20)-s(40,32,12)+
s(40,48,20)s(16,40,20)-t(32,48,20)-
c(32,32,20)c(32,40,20)*t(24,40,20)*
c(32,32,20)s(32,24,28)*s(48,24,20)-
s(32,40,20)s(24,40,28)c(32,40,20)**
c(32,32,28)s(40,16,20)c(16,16,12)+*
s(24,32,28)s(8,32,12)-s(16,24,20)*
c(40,40,20)s(32,24,28)s(16,16,12)-*
s(40,24,20)t(40,24,12)-t(24,56,12)+
s(16,40,20)s(40,40,20)s(32,32,20)*-
c(32,32,28)t(48,24,12)s(16,24,20)+*
s(32,40,28)s(16,32,20)s(24,24,12)-+
t(32,48,20)s(32,24,28)-s(40,48,20)+
s(40,40,28)t(32,48,28)c(32,40,12)-*
s(32,32,28)s(16,40,20)s(16,32,20)**
c(24,24,20)s(32,40,28)s(40,16,20)-*
t(24,32,28)c(32,32,20)c(40,32,20)*+
s(40,40,28)s(24,32,28)*c(40,32,12)-
s(40,40,28)s(24,24,20)+s(16,24,20)*
t(32,40,28)s(40,32,20)c(40,24,20)**
s(24,40,20)t(24,32,12)-t(24,48,28)*
t(32,48,28)t(32,48,20)c(24,24,20)+*
c(24,32,20)c(24,40,20)c(16,24,12)+*
s(24,40,28)s(32,40,28)*s(40,48,20)*
t(24,40,28)s(32,40,28)s(24,48,20)*+
t(24,48,28)t(32,48,12)s(16,16,12)+-
t(24,40,28)c(24,40,20)*s(40,48,12)-
c(24,40,20)s(24,24,20)s(24,40,20)*-
s(40,24,28)s(40,40,20)t(32,24,12)--
s(24,40,20)s(40,48,12)-s(24,32,20)*
c(48,32,12)s(48,48,20)c(40,32,20)*+
t(32,40,20)t(48,16,12)+t(24,32,28)*
t(24,32,20)c(32,48,12)+c(32,24,12)-
s(32,16,12)s(24,40,20)+s(40,24,20)*
s(16,32,20)c(40,40,20)s(32,8,12)+-
s(16,48,20)c(24,40,20)t(40,48,20)-*
c(40,40,20)t(24,48,28)*c(24,40,20)*
s(24,16,20)s(32,24,28)t(24,32,28)**
c(48,32,12)s(24,40,28)s(32,48,12)-+
c(40,24,20)c(40,24,12)t(48,48,12)+*
c(40,48,12)t(24,40,28)+s(24,48,20)*
s(24,32,12)t(40,48,12)+c(24,48,12)-
c(32,32,20)t(32,48,12)c(48,40,12)+-
t(24,24,20)t(32,40,12)+t(32,16,12)+
c(40,40,20)t(40,32,20)s(40,24,12)+-
c(24,24,20)s(24,40,28)s(48,32,20)--
c(32,32,20)c(32,32,28)s(40,48,20)-+
c(24,40,20)s(24,32,20)*s(40,8,12)+
s(40,40,20)c(32,48,12)-c(32,40,12)+
s(24,48,20)c(32,32,12)t(16,24,12)++
s(16,48,20)c(32,32,28)s(48,48,12)-*
s(40,24,28)t(24,32,12)-s(40,40,20)*
s(48,40,20)c(40,40,20)s(24,48,20)*+
t(24,48,28)c(40,32,20)s(48,16,20)-+
s(48,40,12)s(8,24,12)+s(16,24,12)-
t(32,32,28)s(16,24,20)-t(24,48,20)-
s(24,16,20)c(40,24,20)s(40,48,20)+-
t(16,56,12)s(32,16,20)c(32,32,28)*+
s(40,40,12)s(32,16,20)t(16,16,12)-+
c(24,24,20)c(40,32,20)s(48,48,12)+-
t(24,24,20)t(16,24,12)-t(48,56,12)+
s(32,48,20)t(24,40,28)s(32,16,12)+*
s(32,24,12)c(16,16,12)s(16,48,12)++
t(24,40,28)t(24,32,12)-t(32,40,28)*
c(32,40,20)s(32,32,20)*c(32,24,20)*
c(32,24,20)c(40,32,20)t(32,40,28)++
c(48,40,12)c(16,40,12)+s(24,32,28)+
s(24,24,20)s(48,40,20)s(48,24,20)+-
s(16,48,20)t(24,48,28)t(32,48,28)**
s(8,24,12)s(24,32,20)t(32,32,20)-+
s(40,24,28)s(40,48,12)c(48,24,12)+-
s(40,40,20)s(24,24,28)s(40,8,12)--
s(40,40,28)s(24,48,12)-s(40,32,20)*
s(16,48,20)s(16,32,12)-c(24,32,20)-
s(40,40,20)c(32,24,20)s(24,32,28)*+
s(32,40,28)c(40,32,12)c(16,16,12)++
s(32,32,28)c(40,24,12)-t(24,48,20)-
t(32,48,28)s(24,24,20)s(24,40,28)*-
s(40,48,20)c(24,40,20)s(16,24,20)+-
s(32,24,28)s(24,32,12)-s(16,8,12)-
s(32,40,28)s(16,32,20)s(24,40,20)**
s(48,32,20)s(32,40,28)+s(32,32,12)-
s(40,16,20)t(24,40,20)s(40,40,28)+-
s(16,16,20)t(24,32,28)s(24,24,20)*-
s(32,16,20)s(8,24,12)+s(32,24,28)*
s(24,48,20)t(24,40,28)c(40,32,12)-*
s(32,40,20)s(24,32,28)+s(32,16,12)-
t(24,32,28)c(32,32,20)t(40,40,20)-*
s(48,24,20)s(40,24,20)*c(16,24,12)+
s(40,32,12)c(32,32,12)+t(48,40,12)-
s(32,40,20)t(32,40,20)c(16,40,12)+*
s(40,24,20)s(48,8,12)-s(16,24,20)-
s(40,16,12)s(24,40,28)s(16,24,20)*+
s(32,24,20)t(32,24,20)s(40,40,28)+*
c(40,24,12)s(40,48,20)+s(48,16,12)-
s(40,40,28)c(32,32,28)t(40,40,20)-*
t(24,40,28)c(24,24,12)s(40,16,20)+-
t(48,56,12)c(32,24,20)+s(40,32,20)*
t(32,24,20)c(24,32,20)c(40,48,12)-*
c(24,32,20)t(24,40,20)t(16,32,12)--
s(48,16,20)c(24,32,20)+s(40,16,20)*
c(40,24,20)s(40,40,12)-t(24,16,12)-
c(32,24,20)t(24,48,28)-c(40,40,12)+
t(32,48,28)c(24,32,12)s(48,24,12)++
s(24,32,28)s(24,48,20)*c(32,40,20)*
t(32,32,28)s(16,40,12)-s(48,48,12)-
s(16,24,12)s(24,40,20)c(40,32,20)*+
c(32,24,20)s(48,40,12)+s(32,32,28)*
s(40,48,20)t(32,32,28)t(24,40,28)*+
s(40,24,28)t(40,24,20)-s(16,32,20)-
t(24,40,20)t(32,40,28)s(48,40,12)-*
c(24,48,12)c(24,24,12)+c(32,32,12)-
s(24,32,20)t(40,40,20)-s(24,40,20)*
s(40,40,28)s(24,40,20)t(40,56,12)+*
c(32,24,20)c(32,40,20)s(16,48,12)+-
t(24,40,12)c(24,32,12)+s(24,40,20)*
s(32,40,28)t(32,32,28)s(48,16,20)-*
s(16,48,12)s(40,32,28)+c(40,40,12)-
s(16,40,20)s(32,32,20)t(24,48,12)+*
s(16,40,20)s(16,48,20)s(40,32,20)+*
s(40,40,28)t(24,32,28)*t(40,48,20)+
s(40,24,20)s(40,40,28)t(24,32,28)*+
s(16,24,12)t(24,24,20)t(24,48,28)-+
s(32,32,12)c(40,40,20)s(48,48,20)*+
t(24,32,20)t(24,32,28)c(40,40,12)-*
t(32,32,28)t(40,32,12)s(24,32,12)+-
s(40,16,20)c(32,32,20)t(48,16,12)+*
s(32,24,20)s(32,40,28)s(24,40,28)**
s(40,32,20)s(40,16,20)t(40,24,12)--
s(40,40,28)c(32,40,20)s(40,48,12)-*
c(32,40,20)s(40,40,28)s(40,24,28)**
s(24,16,20)s(16,16,20)s(32,24,12)-*
c(48,16,12)t(40,48,12)+t(24,48,28)-
c(32,32,20)t(48,32,12)-s(32,24,28)*
t(40,32,20)s(40,32,20)s(48,24,20)-+
s(16,32,20)t(24,32,28)t(32,40,28)*-
c(32,40,20)s(40,40,20)s(24,48,20)-*
t(40,24,12)s(32,48,20)t(24,32,28)-+
t(48,56,12)s(16,32,12)t(32,48,20)++
t(24,32,28)s(32,32,20)c(32,24,20)**
s(8,40,12)s(40,48,12)s(16,16,12)++
s(48,48,20)t(40,40,20)+t(32,40,28)*
s(40,40,28)c(16,32,12)s(8,48,12)++
c(40,40,20)s(16,32,20)s(32,40,28)*-
c(32,32,28)c(16,48,12)t(24,16,12)+-
c(32,32,12)t(24,56,12)+s(40,24,28)*
s(8,8,12)c(24,24,20)c(32,24,20)++
s(32,32,20)t(24,24,20)-s(48,48,12)+
c(32,32,28)c(32,40,12)-t(40,40,20)-
s(40,32,28)c(24,32,12)c(32,16,12)+*
s(24,24,28)c(48,48,12)t(32,40,28)+*
s(40,40,20)t(48,24,12)-t(40,40,12)-
s(40,40,20)s(48,40,12)t(24,32,20)+*
s(32,16,12)s(24,16,12)+s(48,48,12)+
s(32,24,20)c(32,40,20)s(40,32,20)*-
s(24,48,20)c(40,32,20)-s(32,40,20)-
c(24,24,20)s(16,24,20)-s(32,16,12)+
t(48,24,12)t(32,24,20)s(48,32,12)-+
s(24,32,20)s(24,24,20)*c(40,24,12)-
t(32,32,28)s(40,24,20)*s(32,32,20)*
s(40,16,20)t(48,48,12)t(24,32,28)++
c(32,24,20)s(32,32,28)s(32,24,28)**
c(40,24,20)c(40,32,20)*t(24,40,28)-
t(32,24,12)c(48,16,12)+s(32,16,12)-
s(32,32,12)s(24,48,20)t(32,40,28)*+
s(32,24,20)s(40,40,28)s(24,40,28)**
c(32,32,20)s(32,40,28)*t(48,40,12)-
c(32,24,20)t(32,24,12)-s(24,24,20)+
c(40,32,20)c(48,48,12)+s(48,48,20)*
s(32,40,28)s(16,40,20)+s(24,48,20)*
t(32,32,28)s(16,8,12)+s(32,32,28)*
s(40,32,20)s(40,40,28)c(32,40,20)**
s(32,24,28)s(48,40,12)t(32,40,28)++
s(32,40,28)t(48,48,12)c(32,24,20)+*
t(32,40,28)s(24,32,20)-t(24,40,20)+
t(32,48,28)s(40,40,28)*s(32,40,12)-
c(32,32,28)c(24,24,20)s(8,16,12)+*
s(32,40,20)s(32,48,20)t(24,40,20)-+
s(32,32,28)s(32,24,12)s(32,48,12)+*
s(32,32,20)c(32,32,28)t(32,48,28)*+
s(32,48,12)s(16,24,12)+t(32,56,12)-
t(40,32,12)t(40,24,12)+t(24,48,20)+
c(24,24,20)c(40,16,12)-t(24,48,28)+
t(40,40,20)s(24,40,20)+t(24,32,28)*
t(40,24,20)s(16,40,20)s(24,40,20)*-
s(24,32,20)s(40,24,20)-t(40,32,20)+
s(48,32,20)s(48,16,12)-t(40,24,12)-
s(16,24,20)s(24,24,12)-s(40,40,12)+
s(40,24,28)s(24,32,20)s(24,24,20)**
s(16,48,20)s(24,32,12)-c(24,40,12)-
s(40,24,12)s(32,32,12)s(8,16,12)++
s(24,32,28)s(48,8,12)t(40,40,20)+*
t(32,24,20)s(8,24,12)t(24,56,12)++
s(32,40,28)s(40,40,12)-s(32,24,28)*
s(32,40,20)t(40,24,20)-t(40,56,12)-
t(24,32,28)s(24,40,12)t(40,48,20)++
c(32,40,20)t(24,32,28)t(40,48,12)+*
t(24,32,28)t(32,40,28)s(40,32,28)**
t(16,24,12)s(32,24,12)+s(24,16,20)*
s(48,32,20)s(24,40,28)c(32,24,20)*-
t(32,32,12)t(40,24,20)+c(24,48,12)+
s(32,40,28)t(48,16,12)c(32,24,12)+-
t(40,32,12)s(24,24,12)+t(24,40,20)+
t(24,48,28)c(24,48,12)-s(24,40,20)+
s(40,32,28)c(24,16,12)-s(16,40,20)-
s(32,32,20)c(48,16,12)+t(32,48,28)*
s(40,32,28)c(32,32,28)c(32,40,20)-*
c(40,40,12)s(32,24,20)t(32,32,28)*+
s(32,40,28)s(8,8,12)t(24,48,28)+*
s(16,48,20)t(24,40,20)+s(48,48,12)+
t(24,40,12)c(24,24,20)s(16,32,20)*+
c(32,16,12)s(32,40,12)+s(32,40,28)*
t(32,40,28)s(8,32,12)c(32,40,12)+*
s(16,40,12)t(32,32,20)t(24,32,28)*+
t(24,40,20)c(40,24,20)t(32,16,12)-+
t(32,40,28)s(24,24,28)s(8,16,12)-*
c(32,40,20)s(40,48,20)*t(16,56,12)+
s(40,48,20)c(32,48,12)s(24,8,12)+-
s(16,48,20)t(24,32,28)t(16,56,12)+*
s(40,32,28)c(24,32,20)s(32,8,12)+*
c(32,40,20)t(48,40,12)-t(24,32,28)*
s(24,32,28)s(8,32,12)-s(24,32,20)*
c(24,32,20)s(32,40,28)t(24,40,12)-*
t(24,24,20)s(32,16,20)s(40,40,12)+*
s(24,16,20)s(16,16,20)*t(32,24,12)+
s(32,32,28)s(48,16,20)+c(24,32,12)-
c(32,40,20)s(48,40,20)*s(8,48,12)+
t(32,40,20)s(24,24,20)s(24,16,20)*-
c(40,32,20)s(48,32,20)s(24,40,12)+*
c(32,40,20)c(48,24,12)-c(32,24,20)-
s(32,16,20)t(32,24,20)s(40,16,12)-+
s(32,32,20)s(40,16,12)-t(24,24,12)-
s(24,16,12)c(32,24,12)t(48,16,12)++
s(32,16,12)s(24,40,28)s(24,32,28)*+
c(32,24,20)s(32,40,28)s(40,32,12)-*
c(32,24,20)s(40,32,28)t(32,24,20)*-
s(24,32,28)t(16,32,12)-s(32,32,20)*
s(16,32,20)s(16,48,20)c(16,40,12)--
s(32,48,20)t(40,56,12)t(24,40,12)+-
s(40,24,20)c(32,32,20)c(24,32,20)**
c(32,32,20)s(24,24,28)*c(40,24,20)*
s(48,32,20)t(40,32,12)-s(40,40,28)*
c(32,24,20)s(24,32,20)-t(40,32,12)-
t(32,48,20)s(24,32,12)-t(48,48,12)+
t(24,24,20)s(24,32,20)s(48,48,12)+*
s(40,40,20)s(40,32,20)s(24,16,20)+*
s(48,32,12)s(24,32,28)s(40,24,20)-+
s(16,40,20)c(48,40,12)+c(32,32,20)*
s(24,24,28)c(24,24,12)s(16,48,20)+-
s(16,24,20)s(32,32,28)*c(40,32,12)+
t(24,24,20)s(32,32,28)s(48,40,20)*-
s(40,24,28)c(32,16,12)c(48,32,12)+-
s(40,32,28)s(40,40,20)c(24,16,12)+*
t(24,40,28)c(40,32,20)t(48,56,12)+-
s(24,24,28)c(24,40,12)s(8,32,12)+*
c(32,40,20)c(32,32,28)s(48,40,20)-*
c(32,32,28)s(24,24,28)c(32,40,12)-*
c(24,40,20)t(32,48,28)*c(32,24,20)-
c(40,32,20)c(40,16,12)c(24,16,12)+-
s(40,40,28)c(40,32,20)+s(32,32,28)*
s(32,16,20)s(24,16,20)t(24,40,28)-*
t(24,32,28)s(32,40,20)-s(32,16,12)+
s(40,24,20)c(48,40,12)s(48,16,12)+*
t(24,40,28)s(8,40,12)+c(40,32,12)-
t(24,24,20)s(16,48,12)+t(24,40,20)+
t(32,32,20)s(40,24,12)+c(32,40,20)*
c(32,40,20)s(48,48,20)s(32,16,20)+*
c(16,24,12)t(48,16,12)+t(24,32,20)-
s(24,48,20)t(32,48,28)*t(24,48,20)*
s(24,8,12)s(40,32,20)s(32,32,20)*+
s(40,24,12)t(16,24,12)+s(16,8,12)+
s(24,24,20)c(32,32,28)t(24,32,20)-*
s(48,16,12)t(32,24,20)+c(32,16,12)-
t(16,16,12)s(16,40,12)+s(8,16,12)+
s(32,32,28)s(16,48,12)-s(32,16,12)-
c(24,40,20)s(32,24,28)s(24,32,28)**
s(24,32,28)s(40,32,20)s(32,16,12)+*
c(32,24,20)s(16,24,20)c(32,32,28)**
s(24,32,28)s(32,24,20)t(16,40,12)+*
c(48,48,12)t(32,32,28)+t(24,24,20)-
c(32,24,20)s(32,48,20)s(48,48,12)--
s(48,32,20)s(40,40,28)s(32,40,20)-*
t(16,48,12)t(32,32,20)+t(32,40,12)-
s(40,24,20)s(32,16,20)c(40,24,20)**
s(24,24,20)t(32,32,20)+s(16,24,20)*
c(40,40,20)t(32,32,28)*t(24,32,12)+
s(48,48,20)c(40,24,20)c(24,16,12)+-
s(32,40,28)t(24,40,20)s(40,24,20)+*
c(40,48,12)t(16,24,12)+s(32,16,20)+
s(24,32,28)c(40,48,12)s(24,24,20)+*
s(40,32,28)s(32,24,20)-s(40,40,28)*
s(40,40,28)s(32,24,12)c(32,32,12)+*
s(48,24,20)t(32,48,12)s(24,16,20)+-
s(48,48,12)s(24,24,20)+s(16,32,20)*
t(16,24,12)c(40,48,12)+s(8,32,12)+
s(32,24,28)s(24,40,20)*t(24,24,20)+
s(24,24,20)s(24,16,12)s(40,40,20)+*
c(32,32,28)t(24,48,20)t(48,56,12)+*
t(32,32,28)s(24,40,28)c(32,32,28)*+
s(32,40,28)t(32,32,20)-s(32,32,28)*
c(32,24,20)s(16,48,20)-s(16,16,20)+
t(40,40,12)s(16,48,12)+s(40,40,12)+
s(40,48,20)c(32,40,12)t(24,48,20)+*
s(40,48,12)s(16,40,20)t(32,40,28)*+
c(40,32,20)s(40,16,20)s(40,32,28)*-
c(40,40,20)s(48,24,12)+c(16,40,12)+
c(24,32,20)s(24,48,20)-t(48,24,12)+
s(40,40,20)s(24,48,12)+t(16,48,12)-
t(24,32,20)s(32,32,20)*s(40,48,20)+
s(40,48,20)t(32,40,12)-s(24,48,20)+
s(48,16,12)c(32,40,20)s(32,32,28)*+
t(32,56,12)s(24,40,12)+t(16,32,12)+
s(32,40,28)c(40,24,20)*s(24,24,28)*
s(24,40,20)c(24,32,20)t(32,24,12)-*
c(32,32,28)s(16,40,20)-s(32,16,20)+
s(40,40,28)s(8,32,12)s(32,40,20)++
c(40,40,20)c(32,32,20)+c(24,40,20)+
t(16,56,12)c(24,16,12)+s(24,48,12)+
s(24,32,28)c(40,32,20)*s(40,32,12)+
c(24,32,20)s(48,32,20)+t(32,24,12)-
s(24,24,28)c(48,24,12)+s(40,40,28)*
c(32,40,20)c(24,40,20)t(48,40,12)+*
t(24,32,20)c(40,48,12)s(32,16,20)++
s(24,24,28)c(32,32,20)c(40,48,12)+*
c(32,32,12)s(32,48,12)+c(24,32,12)-
t(24,40,20)s(40,24,28)+s(24,32,20)-
s(32,40,20)c(24,24,20)+c(48,48,12)+
c(24,24,20)c(48,32,12)t(40,24,12)+-
c(24,48,12)s(40,32,28)t(24,48,28)*+
c(16,48,12)t(40,16,12)t(32,32,12)++
s(32,32,20)s(24,48,20)-c(32,40,20)+
t(24,40,20)s(40,48,12)+t(24,48,28)*
t(24,40,20)c(24,32,20)s(32,40,20)**
t(40,32,20)s(32,32,12)c(48,40,12)+*
s(40,48,20)c(24,32,12)-s(24,40,28)*
s(24,48,20)s(40,32,20)s(40,16,12)+-
s(16,16,12)c(32,48,12)+t(24,56,12)+
c(24,40,20)c(24,40,12)-s(32,32,28)*
s(32,24,28)s(40,32,28)*c(32,24,12)-
s(24,32,20)s(40,24,28)s(32,48,20)--
s(40,16,20)s(40,32,28)*s(24,16,12)-
c(32,24,20)t(24,48,28)s(32,40,28)*-
s(24,16,12)t(32,48,28)+s(48,32,20)-
t(32,40,28)s(24,8,12)t(24,48,20)+*
s(40,24,28)t(40,16,12)-s(48,40,20)*
t(24,32,20)s(32,40,28)t(32,32,28)*+
s(8,48,12)s(24,40,20)+s(24,24,20)*
c(24,40,20)c(40,24,12)+s(40,24,20)-
s(32,24,28)t(48,32,12)-c(16,32,12)-
s(24,32,28)s(24,48,20)*t(48,40,12)+
t(32,32,28)s(32,40,28)*c(48,40,12)-
s(16,40,20)c(32,40,20)c(40,40,20)*-
s(32,40,28)s(8,16,12)+t(32,32,28)*
s(40,32,12)c(16,40,12)+c(32,24,12)-
s(48,24,20)s(32,24,20)t(32,24,12)--
c(40,24,20)s(32,40,12)+s(24,40,28)*
c(32,40,20)c(40,40,12)s(8,16,12)+*
s(32,24,28)t(24,32,12)-c(32,24,20)*
c(24,24,12)t(40,32,20)+s(24,24,28)*
s(40,24,20)s(40,32,20)s(32,32,20)**
t(32,32,20)t(40,48,20)+s(24,24,28)*
s(8,24,12)s(32,40,20)s(48,40,20)*+
s(24,32,28)s(40,40,28)*t(40,48,20)-
s(40,24,20)c(32,32,28)s(48,24,20)**
c(40,40,20)c(24,32,12)-s(24,32,12)+
s(32,24,20)c(32,32,28)s(40,16,20)**
c(24,40,20)s(24,32,28)*s(16,32,12)-
s(24,32,20)c(48,32,12)c(24,32,12)+*
s(32,48,20)s(48,48,12)-t(32,48,28)*
c(24,32,20)s(16,32,20)t(32,40,20)-*
s(40,32,20)t(32,32,28)s(24,24,20)*-
c(16,32,12)s(32,32,20)c(48,40,12)-+
c(40,24,20)s(32,16,20)+t(24,40,20)-
s(40,24,28)s(32,24,28)*t(24,32,28)*
s(48,40,20)t(24,48,12)+t(32,40,20)-
s(40,32,28)s(24,24,28)*s(48,48,20)-
s(24,32,28)s(24,24,28)t(24,16,12)-*
s(48,32,20)c(40,48,12)-s(40,32,28)*
s(40,24,28)s(32,16,20)s(48,16,20)--
s(40,40,28)t(32,32,28)t(16,40,12)-*
s(48,24,12)s(48,24,20)s(32,32,28)*+
t(48,16,12)t(40,16,12)+c(24,24,20)+
s(24,40,28)c(24,24,12)-c(24,24,20)-
c(40,24,20)s(24,32,20)-s(32,48,20)+
s(40,40,20)s(48,40,20)*s(32,40,20)*
c(40,40,20)s(32,24,20)+s(48,40,20)*
s(40,8,12)s(24,32,28)+s(48,48,20)-
s(24,24,28)t(32,32,20)s(40,40,20)+*
s(32,16,12)t(40,40,20)+t(32,32,28)*
s(32,32,20)s(40,32,12)c(24,40,12)+*
s(24,24,28)s(32,8,12)-t(24,40,28)+
t(32,40,20)c(16,24,12)+t(24,48,20)-
s(24,40,28)s(32,32,20)s(24,24,20)*-
c(32,24,20)s(32,16,20)c(32,32,20)--
s(16,32,20)c(48,24,12)+s(40,24,28)*
s(32,24,28)s(16,24,20)-t(40,40,20)+
s(48,40,20)s(40,24,28)*s(8,24,12)+
t(32,32,28)t(32,56,12)+s(8,32,12)+
s(32,24,20)c(48,16,12)-c(24,32,20)*
c(40,32,20)t(32,48,28)t(24,40,20)+*
t(40,40,20)s(48,40,20)c(16,24,12)+*
s(40,16,20)s(24,32,28)s(16,48,20)-+
s(40,40,28)t(24,32,20)-s(32,32,28)*
t(24,32,28)s(40,16,20)s(32,32,28)*+
s(40,40,20)c(40,48,12)t(32,48,12)+-
c(24,40,20)c(48,16,12)+s(40,32,28)-
s(32,32,28)c(32,32,28)s(40,24,28)**
s(32,16,20)t(24,40,20)s(16,32,20)+-
s(48,24,20)s(32,24,28)s(48,48,20)-*
t(32,24,20)s(24,40,20)s(32,8,12)++
c(32,40,20)c(16,32,12)-t(32,48,28)*
s(16,32,12)t(40,48,12)s(32,8,12)++
t(40,40,20)t(32,40,28)s(24,32,12)-*
t(24,32,28)c(16,32,12)c(32,48,12)+*
s(40,40,28)s(32,40,20)s(24,48,20)*-
c(40,32,20)s(40,32,28)c(24,16,12)-*
s(32,32,28)t(24,32,20)t(24,40,12)--
s(40,40,20)t(40,32,20)*s(32,48,20)+
c(32,32,20)c(32,40,20)t(40,32,20)*-
c(32,24,20)s(40,16,20)t(40,24,20)*-
c(40,32,20)c(32,40,20)*t(24,32,12)-
c(32,24,20)c(24,32,12)-s(32,16,20)*
s(32,24,28)t(32,32,28)c(16,40,12)--
s(24,32,28)c(24,48,12)c(40,24,20)+-
c(40,16,12)s(32,40,12)+s(40,24,12)+
s(32,48,20)s(32,24,20)t(24,24,12)--
c(24,40,20)c(32,40,20)*t(24,32,20)*
t(48,32,12)s(24,24,28)+s(48,48,20)-
s(32,24,20)t(48,48,12)s(40,32,20)+*
c(24,32,20)s(16,16,12)s(24,48,12)++
s(8,8,12)s(40,40,28)+t(48,48,12)-
s(24,32,28)s(24,40,28)*s(16,48,20)*
c(24,32,20)c(32,32,28)s(24,24,12)-*
s(48,8,12)s(32,40,28)t(24,40,20)-+
s(40,24,28)s(40,40,12)-c(40,32,12)-
s(48,48,20)t(32,32,28)t(32,40,12)--
s(40,48,20)c(40,24,20)-c(24,48,12)+
t(24,56,12)s(40,40,28)t(32,32,20)*+
s(40,24,28)s(32,32,28)t(24,40,28)**
t(32,48,20)t(24,40,12)+s(48,24,12)+
s(32,24,20)t(48,32,12)s(24,32,28)+*
c(40,32,20)t(32,24,20)s(48,24,12)--
s(16,32,20)c(40,40,20)s(32,40,28)*-
t(24,40,28)t(32,48,20)s(24,48,20)++
t(24,32,28)c(40,16,12)c(24,40,12)+*
s(32,48,12)c(32,32,28)t(32,40,28)-+
s(40,40,28)s(40,24,20)-s(24,48,20)*
t(40,40,20)s(40,24,12)+s(32,16,12)-
t(24,40,20)t(32,32,20)c(16,32,12)--
c(40,40,20)t(32,40,12)-c(16,32,12)+
s(40,40,28)s(32,24,20)s(8,32,12)+-
s(32,16,20)s(24,24,20)*c(16,32,12)+
t(32,48,28)t(24,48,28)*s(32,48,12)-
c(48,24,12)c(16,48,12)+c(40,24,20)-
s(24,48,12)t(16,32,12)c(32,40,12)++
s(48,48,20)s(48,40,20)s(24,32,28)+*
s(32,40,28)s(32,24,20)c(24,32,20)**
s(24,48,20)s(8,48,12)t(48,24,12)+-
t(48,32,12)s(48,40,12)+c(32,32,12)+
s(32,40,28)c(24,32,20)s(40,32,28)**
s(32,24,28)t(40,40,20)-t(24,16,12)-
t(40,40,12)c(24,40,12)+t(24,48,28)*
s(16,32,20)s(24,40,20)*t(48,40,12)+
s(32,40,28)c(40,24,20)t(40,32,12)-+
c(32,24,20)t(32,40,28)c(24,32,20)+*
c(32,32,28)c(32,32,20)s(16,16,20)--
s(24,24,28)s(16,24,12)t(40,56,12)++
s(40,16,12)s(32,24,28)t(32,24,20)-+
c(48,48,12)c(16,24,12)+c(24,24,20)-
c(40,32,20)s(24,40,28)*s(24,40,20)*
s(24,24,20)s(48,24,20)-t(16,32,12)-
c(32,24,12)s(48,24,20)+c(40,40,20)*
t(40,48,20)s(16,40,12)t(32,48,28)+*
t(24,32,28)c(40,32,12)+s(24,32,28)*
c(24,40,20)t(32,32,28)c(40,40,20)**
s(16,24,20)s(48,32,20)+t(16,32,12)-
c(24,40,20)c(16,48,12)-t(32,24,20)+
c(32,40,20)c(32,16,12)+t(32,40,12)-
t(32,40,28)c(48,40,12)-s(8,24,12)+
s(24,32,28)s(40,40,28)+s(48,24,20)*
c(32,40,20)s(40,40,20)*s(32,24,28)*
t(32,16,12)s(24,48,20)+c(16,48,12)-
t(32,40,28)t(32,48,20)s(32,24,12)+-
c(32,40,20)c(24,32,20)s(24,40,20)+*
s(16,48,20)c(24,40,20)s(40,24,28)*-
s(24,24,28)c(24,40,12)-c(32,40,20)-
s(16,48,20)s(32,48,12)-t(16,32,12)-
s(16,40,20)s(16,32,20)s(32,48,20)-*
c(32,24,20)t(16,56,12)+t(32,40,28)-
s(32,16,20)c(24,40,20)-t(32,24,12)-
s(32,16,20)s(32,24,20)c(40,32,12)++
c(32,32,28)t(32,40,20)-c(24,32,20)*
t(16,32,12)s(48,32,20)+c(32,32,28)*
s(16,40,20)t(40,56,12)+c(40,40,20)-
s(48,16,12)s(32,48,20)+s(48,48,20)*
t(32,40,28)s(40,40,28)+c(32,48,12)-
s(24,40,28)s(40,40,12)-c(24,32,20)-
s(32,16,12)s(48,40,12)+t(32,32,28)*
t(24,40,20)s(8,16,12)t(32,40,28)+*
t(24,32,20)t(32,24,12)s(8,40,12)++
s(40,24,20)s(16,16,20)-c(32,24,20)*
t(24,40,28)c(32,24,20)*t(40,32,12)-
s(32,24,20)c(24,40,20)+s(24,16,20)*
s(24,32,20)c(32,32,20)s(40,24,28)**
s(32,40,28)c(40,48,12)-c(32,40,12)+
s(24,24,28)t(32,40,28)t(24,40,12)-*
s(24,24,28)s(40,40,12)s(48,16,20)+-
s(24,32,28)t(16,24,12)t(24,56,12)+-
c(40,40,20)c(32,24,20)c(16,24,12)+*
t(24,48,28)t(40,24,12)+s(24,32,28)*
c(24,40,20)t(32,48,28)c(40,40,20)**
s(32,32,28)c(40,40,12)s(16,48,12)+-
s(40,24,20)s(32,32,28)s(32,16,20)**
t(24,40,28)c(48,48,12)s(24,48,20)+*
t(40,24,12)c(40,40,20)s(40,48,20)*+
c(24,32,12)s(40,24,28)c(32,40,12)-+
s(24,24,28)t(24,32,28)t(32,40,20)-*
s(32,40,28)s(48,16,20)-s(40,32,28)*
c(32,32,28)t(24,40,20)-s(16,24,12)-
s(24,48,20)t(24,40,12)-s(48,16,20)+
s(40,40,20)s(32,32,20)s(48,16,20)--
c(40,40,20)t(32,32,12)-s(40,32,12)-
s(24,48,20)s(40,32,28)+s(24,24,28)*
s(24,40,28)t(24,40,20)c(40,16,12)+*
c(16,32,12)t(24,16,12)+s(32,32,28)*
c(24,24,20)s(48,40,20)-t(24,32,20)-
s(16,8,12)c(40,48,12)+c(24,40,12)+
c(32,40,12)t(32,24,20)+s(32,40,28)*
t(32,40,28)c(24,32,20)t(40,40,12)--
c(48,40,12)t(24,32,28)s(32,40,28)*+
c(40,48,12)c(40,24,20)+c(24,16,12)-
t(24,24,20)c(32,40,20)+s(32,24,28)-
s(32,32,28)t(32,40,20)-c(48,24,12)-
c(24,40,12)t(40,48,20)+s(40,40,20)+
s(32,24,20)t(32,40,20)+s(32,48,20)+
t(32,40,20)s(40,8,12)+t(24,32,28)*
c(16,40,12)s(48,48,20)s(24,40,20)-+
c(40,40,12)c(48,24,12)+t(40,32,20)*
s(40,24,28)s(48,32,12)-s(40,40,28)*
c(24,24,20)s(24,32,28)s(16,32,20)-*
t(32,40,28)t(40,24,12)+s(32,24,28)*
s(40,32,28)s(24,32,20)t(40,24,20)+-
s(48,48,20)t(32,48,28)*t(24,40,28)+
c(40,24,20)t(40,40,12)-t(40,24,20)-
s(32,32,20)t(40,32,20)c(24,40,12)--
s(24,32,28)t(32,48,28)-s(24,32,20)*
c(16,24,12)s(40,16,12)+t(40,48,20)+
s(24,48,20)s(32,32,20)s(40,16,20)--
s(32,48,20)s(40,48,20)*t(24,56,12)+
c(32,40,20)s(32,24,28)c(48,40,12)--
c(40,32,20)s(48,48,20)*s(24,40,20)+
c(32,40,20)c(24,32,20)c(24,48,12)-*
t(32,32,28)s(32,24,20)*s(24,32,20)*
t(32,32,20)s(40,40,20)+s(40,32,28)*
s(8,16,12)c(40,24,20)s(16,32,20)-+
c(48,32,12)t(32,32,20)t(40,40,12)-+
s(32,32,28)t(24,16,12)-s(48,40,20)*
t(32,48,20)s(40,48,20)*t(24,48,20)+
t(48,24,12)s(40,48,20)+s(40,32,28)*
s(24,24,20)c(24,32,20)s(40,32,12)-+
s(40,40,20)t(40,24,20)s(40,32,20)*-
s(32,32,28)t(40,48,20)-s(40,40,28)-
t(32,32,28)s(16,16,20)t(32,24,20)+*
s(32,40,20)c(24,32,20)c(32,24,20)**
s(40,24,12)c(40,48,12)+s(32,40,12)-
s(32,40,28)s(40,40,20)-t(24,48,12)+
s(32,16,20)c(40,32,20)s(16,16,20)+*
s(16,16,12)c(32,40,12)+s(48,24,12)+
s(24,40,28)s(32,16,20)-s(40,24,20)+
c(40,40,20)s(24,24,20)s(32,48,12)+*
c(40,40,20)s(40,40,28)t(24,48,12)-*
t(32,32,20)s(32,32,20)t(32,24,20)*+
s(48,32,20)s(16,40,20)+s(16,24,20)*
t(40,32,12)s(32,40,12)s(48,40,12)++
t(40,48,20)s(24,40,28)+s(24,32,28)*
s(8,32,12)t(48,48,12)c(24,32,12)++
s(32,32,28)t(24,48,28)*s(40,32,28)*
c(32,32,20)s(24,40,28)*t(32,32,12)-
c(32,32,20)t(40,48,12)-t(32,40,12)-
t(16,16,12)s(16,32,20)s(16,24,20)*+
c(24,48,12)s(40,16,12)+s(16,16,20)+
s(40,16,20)s(40,24,20)s(48,24,20)**
t(40,32,20)c(40,24,20)s(40,40,20)**
s(32,24,20)s(32,16,20)*s(24,24,20)*
t(24,48,28)s(32,48,20)*c(32,24,20)-
t(40,16,12)t(24,32,28)+s(32,24,20)*
t(32,48,20)c(32,40,20)s(16,48,20)*+
s(40,48,12)s(48,32,20)+c(40,32,20)*
s(32,24,20)s(24,32,28)s(48,32,12)+*
s(24,32,20)s(40,16,20)-c(16,24,12)+
s(40,16,12)t(40,56,12)c(32,32,12)++
c(40,40,20)t(48,48,12)-s(32,16,20)-
t(24,40,12)s(24,24,20)+s(40,24,20)*
s(40,32,28)c(24,40,20)-c(48,48,12)-
t(40,32,20)c(48,24,12)+t(32,40,20)+
t(40,32,20)s(24,48,20)t(32,32,12)-+
s(32,40,28)c(40,40,20)s(32,48,20)--
s(48,16,20)s(32,24,20)s(40,32,20)+-
s(40,24,28)t(32,40,28)c(24,40,20)*+
s(24,40,20)c(24,24,20)s(48,48,20)+*
t(32,48,20)s(16,48,12)t(24,40,12)+-
s(16,48,20)c(40,24,12)+c(32,40,12)-
s(40,32,28)c(24,24,20)t(24,40,20)--
s(40,40,20)t(32,24,20)s(24,32,28)*-
s(40,24,28)s(32,40,20)-c(48,16,12)-
t(32,40,28)s(32,32,28)t(16,40,12)-*
s(40,24,20)s(24,24,28)*c(24,24,12)+
s(32,48,20)s(24,40,20)c(40,32,12)--
t(32,32,28)s(16,40,20)c(48,24,12)+*
t(24,32,12)s(24,48,12)+t(16,24,12)+
s(40,48,20)s(32,48,20)t(40,32,12)-*
c(40,32,20)c(48,32,12)-s(32,32,20)*
s(40,40,20)t(24,40,28)s(32,16,20)-*
c(24,40,20)c(40,48,12)-s(16,16,12)+
s(32,24,28)c(32,32,20)*t(24,40,20)-
s(40,16,20)s(48,48,20)s(32,40,12)-+
t(40,40,12)s(40,24,12)s(24,40,20)++
c(24,32,20)c(40,40,12)+s(16,16,20)-
s(16,48,20)s(16,16,20)+c(24,24,20)*
s(8,48,12)c(48,24,12)+c(16,48,12)-
s(48,48,20)s(32,32,28)s(32,24,20)--
c(40,24,20)c(40,16,12)-s(40,40,28)*
c(32,40,12)t(24,24,20)+t(24,32,20)*
c(40,24,20)s(40,40,28)*c(32,40,12)-
s(24,40,12)s(32,16,20)+s(48,16,20)*
s(24,24,20)s(32,32,12)-s(32,40,20)+
s(48,16,12)t(24,24,20)s(32,16,12)-+
s(32,48,20)t(24,32,12)+s(16,32,12)-
s(32,24,20)s(48,16,20)+t(16,40,12)+
s(40,32,28)s(8,32,12)+t(24,40,28)*
c(40,40,20)s(32,24,28)-c(40,24,20)-
s(16,24,12)c(40,40,20)+s(24,40,28)-
s(48,16,20)s(40,16,20)c(48,48,12)+*
c(32,24,20)s(40,32,28)s(48,32,20)-*
s(24,48,20)t(32,48,20)s(32,24,28)--
c(24,32,20)s(40,32,12)s(16,48,12)++
t(24,32,28)s(32,24,28)s(24,16,20)--
c(32,40,20)s(24,40,12)-c(32,48,12)+
s(40,40,28)s(32,32,20)s(32,24,12)-*
c(40,40,20)c(40,32,20)t(32,24,20)*-
s(40,32,20)t(32,32,20)s(16,24,20)+*
s(32,32,20)s(16,32,20)*t(32,24,12)+
s(24,32,28)c(24,40,20)-t(48,24,12)+
t(40,56,12)s(40,24,20)+c(40,24,20)*
t(24,40,28)s(24,40,28)c(16,32,12)-*
s(32,24,28)s(16,16,12)s(32,48,20)+-
s(48,32,20)t(40,16,12)-c(32,32,12)-
t(32,48,28)c(32,40,20)*c(16,48,12)-
c(24,48,12)c(16,40,12)+s(32,32,12)+
s(24,48,20)t(16,32,12)-t(40,24,12)+
c(40,40,20)s(40,48,20)*s(8,32,12)+
s(40,40,20)c(32,40,20)s(32,24,20)-*
s(40,24,28)s(8,32,12)c(32,24,12)+*
c(32,32,28)s(40,40,12)s(40,16,20)+*
t(32,40,28)s(24,40,20)+c(24,32,12)-
s(40,40,28)s(40,40,12)-c(24,32,20)-
c(32,32,20)s(24,48,20)-c(40,32,12)+
s(24,24,20)s(32,24,20)*t(32,24,20)*
c(32,32,28)s(32,24,28)s(16,40,20)+-
t(48,16,12)s(32,40,20)+c(24,32,20)*
t(16,16,12)t(32,40,28)+c(16,16,12)-
t(40,24,20)c(32,40,20)t(24,32,20)-+
s(48,48,20)c(32,32,12)-s(32,40,20)-
s(24,24,20)s(32,24,20)+s(24,16,20)*
s(24,40,12)t(40,32,20)+t(24,32,20)-
s(32,24,12)t(24,40,20)t(40,16,12)++
c(40,32,20)c(32,40,20)*s(40,24,20)*
t(32,32,28)t(32,40,20)+s(24,8,12)+
s(40,32,28)t(24,32,28)c(24,32,20)++
s(24,40,28)c(32,40,20)*s(32,32,20)*
c(24,40,20)s(24,32,12)c(32,32,12)+-
s(24,40,28)s(40,32,28)*s(32,48,20)*
s(48,32,20)t(32,32,28)*t(24,56,12)+
s(16,8,12)s(40,32,12)+s(24,32,20)-
c(16,40,12)t(32,32,12)+s(24,8,12)+
s(24,24,28)c(48,48,12)+c(40,40,12)-
t(32,32,28)s(32,24,28)*c(40,24,20)+
s(40,24,20)s(40,40,28)s(40,32,28)**
s(24,32,20)s(48,24,20)s(48,32,20)*+
s(24,48,20)s(32,48,12)-s(24,40,28)*
s(16,32,20)t(24,40,20)+s(16,48,20)*
t(40,32,12)s(40,8,12)s(24,24,12)++
c(16,40,12)c(32,32,20)c(24,40,20)-+
s(48,32,20)t(40,16,12)-c(40,16,12)+
s(32,24,28)s(24,8,12)-c(16,24,12)+
c(24,32,20)t(24,32,28)c(40,24,20)*-
s(32,32,28)t(40,40,20)c(32,24,20)+*
c(32,32,28)c(32,32,20)-c(40,24,12)+
c(24,24,20)s(8,40,12)+c(24,16,12)-
s(32,24,28)c(24,24,20)s(24,16,12)-*
c(40,40,20)t(32,40,28)s(32,32,12)-*
s(32,48,20)s(24,40,12)t(16,40,12)+-
t(24,40,28)s(8,48,12)c(24,24,12)+*
t(24,32,20)t(24,40,28)s(24,40,20)**
c(40,16,12)s(8,32,12)+s(40,32,28)-
c(32,32,20)t(40,24,12)-t(24,40,12)-
s(40,24,28)t(24,48,28)s(32,24,20)-+
s(40,40,28)s(24,40,20)*s(24,16,20)-
t(24,48,28)t(24,24,20)t(32,48,12)+-
s(32,16,20)s(32,48,20)t(40,16,12)+-
c(32,32,12)s(24,24,20)+t(24,40,28)+
c(32,16,12)c(40,40,12)+s(32,48,12)-
s(48,40,20)s(40,40,28)c(40,32,20)**
s(32,24,28)t(32,32,28)*s(48,40,12)-
s(24,24,28)s(16,24,20)c(24,16,12)-*
s(32,48,20)c(24,24,20)s(40,16,12)--
c(24,32,20)s(32,40,20)c(32,48,12)-*
t(48,48,12)s(16,32,20)s(16,48,20)*+
s(48,40,20)s(32,40,28)*s(40,48,20)*
c(32,40,20)s(32,40,28)s(16,48,12)-*
s(24,16,20)s(32,16,12)-c(32,32,28)*
c(16,40,12)s(48,24,12)s(24,48,12)++
t(32,40,28)c(16,24,12)+t(40,24,20)-
s(24,16,20)s(24,24,28)s(24,40,28)-*
t(40,48,20)s(32,48,20)*s(40,24,28)+
t(24,24,20)t(40,48,20)+c(48,48,12)-
t(24,48,28)s(24,40,28)*s(32,40,20)*
s(16,16,20)t(32,24,20)c(40,40,12)-+
s(16,24,20)s(16,16,12)s(16,32,12)+*
s(48,48,20)t(48,24,12)+s(40,24,28)*
t(32,48,28)s(48,16,20)+c(40,24,12)-
c(40,24,20)t(24,40,28)s(16,48,20)*+
t(24,40,20)t(32,32,20)t(32,48,28)+*
t(32,40,28)s(16,24,12)t(32,40,20)+*
c(32,32,20)t(40,48,12)-s(40,40,20)*
c(24,32,20)c(48,48,12)t(16,48,12)+-
s(24,40,28)c(24,48,12)-t(24,24,20)*
c(24,24,12)s(16,32,12)s(48,16,20)++
s(40,32,20)c(32,40,20)*s(48,32,20)*
s(32,32,28)s(40,40,20)*s(24,40,28)*
c(24,24,20)t(32,24,12)-s(24,40,20)*
s(40,32,12)t(24,32,28)+t(32,48,20)-
s(32,24,12)s(32,48,12)+c(24,48,12)-
t(40,48,12)s(40,24,20)+s(48,48,20)+
s(32,24,28)c(32,32,20)*s(40,24,20)-
s(24,24,28)c(40,32,12)-s(32,40,28)*
s(24,32,28)s(16,48,12)-c(40,32,20)*
t(24,32,28)s(32,16,20)c(48,32,12)+-
s(16,24,20)s(16,32,12)c(24,24,12)+*
t(32,48,28)c(16,48,12)t(32,32,12)+*
s(16,40,12)s(24,32,20)c(24,40,12)-+
s(40,40,20)t(32,48,28)*s(16,48,20)-
s(16,48,20)s(40,32,28)c(32,32,12)--
s(24,32,28)s(40,32,20)+s(40,40,28)*
t(32,40,28)s(40,24,20)c(24,24,20)*-
s(24,16,20)s(48,48,20)+c(32,24,12)-
s(32,40,20)s(24,32,28)s(16,40,20)--
s(16,24,20)s(16,16,20)*s(40,24,20)-
s(32,48,20)t(24,56,12)-s(40,40,20)*
t(24,32,28)s(8,40,12)-s(24,16,20)*
s(32,16,20)c(32,24,20)*c(48,40,12)+
s(32,48,20)s(24,40,28)*c(16,32,12)-
s(40,40,20)c(32,40,20)*t(32,16,12)+
c(48,48,12)s(8,16,12)+s(32,48,20)-
c(40,40,20)s(16,32,20)t(24,40,28)+*
s(24,32,28)t(24,48,20)s(8,48,12)--
s(48,16,20)c(32,40,20)c(24,32,20)*-
c(40,32,20)t(24,32,28)c(40,32,20)*-
s(40,24,28)c(24,32,20)s(32,40,20)**
c(24,40,20)t(32,40,28)*s(16,40,12)-
c(32,24,12)t(32,40,20)s(40,24,12)-+
c(40,40,12)s(40,24,20)+s(48,40,20)*
s(16,32,12)s(32,24,12)+c(16,32,12)+
s(32,32,20)c(32,24,20)*t(32,24,20)*
c(32,32,20)t(32,40,28)*s(40,40,20)*
s(16,32,20)s(24,40,20)t(40,32,20)+*
c(40,40,20)s(16,32,12)+c(40,24,12)-
s(8,16,12)s(40,16,20)+s(24,24,28)*
t(24,32,12)c(32,32,20)s(16,40,20)-+
s(48,40,20)c(40,48,12)s(24,48,20)+-
s(40,48,20)s(48,48,20)s(32,24,20)+*
s(32,40,28)t(40,48,20)s(8,24,12)+*
s(32,24,20)c(16,32,12)t(40,56,12)+-
s(32,24,28)s(48,16,20)*t(32,24,12)-
t(24,48,28)s(40,48,20)c(40,40,12)-+
c(32,32,20)s(16,40,20)t(32,24,20)+-
s(32,32,28)c(32,24,12)-s(40,40,12)-
s(40,32,28)c(16,32,12)+s(24,48,20)*
t(32,32,28)s(32,32,12)-c(24,40,12)+
s(32,16,20)s(40,40,12)s(48,16,20)+*
t(24,48,28)t(40,32,12)+c(16,24,12)+
c(24,24,20)s(16,40,20)-s(24,16,20)*
c(32,24,20)s(24,48,20)+c(40,24,20)*
s(32,24,28)c(24,32,12)c(32,40,12)+*
t(24,32,20)s(16,32,20)t(24,24,20)-+
s(40,24,28)s(40,32,28)*s(24,24,28)*
s(16,24,20)c(32,32,20)-c(48,32,12)+
c(32,24,20)c(40,32,20)s(48,24,12)--
s(16,8,12)c(48,32,12)+t(24,40,12)+
c(32,32,28)s(40,40,28)c(32,24,12)--
s(32,24,28)c(40,40,20)s(24,32,12)+*
c(16,40,12)t(40,48,20)+t(32,48,20)*
s(40,24,20)s(48,32,20)t(40,48,20)--
s(24,16,20)c(40,24,20)s(16,24,12)+*
s(40,40,12)t(24,40,20)+s(16,48,20)-
s(32,24,28)t(32,40,28)s(32,24,12)--
s(24,24,20)s(24,40,28)+t(16,24,12)-
t(24,48,28)t(32,40,20)c(24,32,12)+*
c(24,24,20)c(32,40,20)-s(16,16,20)+
s(40,32,20)c(40,24,20)s(40,16,20)--
s(24,32,28)c(40,32,12)-t(32,32,20)+
s(32,24,28)s(24,32,28)c(40,24,12)-*
c(16,40,12)s(40,48,20)t(24,48,28)*+
t(24,48,28)t(32,40,28)t(32,24,12)-*
s(48,16,20)t(32,48,28)c(48,16,12)+-
t(48,16,12)s(8,24,12)s(32,40,12)++
s(48,32,20)s(24,32,28)-c(40,32,12)-
t(32,40,28)t(40,24,20)-c(40,32,20)*
t(32,16,12)s(16,40,20)s(24,48,20)-+
s(40,16,20)c(24,24,20)c(24,32,20)*-
s(16,32,20)c(24,32,20)c(32,40,20)*-
c(24,40,20)s(32,32,28)*t(24,32,20)*
s(24,24,28)t(24,32,28)c(40,32,12)-*
c(32,32,20)s(40,32,28)*s(16,48,20)+
s(32,40,28)s(40,24,20)t(16,16,12)+*
s(24,40,28)s(24,24,12)-s(40,48,20)*
t(32,48,28)s(48,40,20)t(32,40,28)*-
s(16,40,20)s(8,40,12)c(16,32,12)+*
t(32,40,20)t(32,32,28)c(40,32,20)*+
s(16,16,20)s(32,32,28)s(40,16,20)+*
c(40,24,20)s(24,40,12)s(40,48,12)+-
c(24,40,12)t(32,24,12)+s(24,32,20)*
s(16,24,20)t(24,48,28)-s(8,8,12)-
s(24,40,12)c(48,40,12)t(16,24,12)++
s(40,40,20)s(24,32,28)*s(40,24,20)+
t(32,32,28)s(32,16,20)c(40,24,20)*-
s(24,32,20)s(40,24,28)*c(32,24,12)+
s(24,24,28)s(8,8,12)-s(16,24,20)-
t(32,32,28)s(32,40,20)*s(24,24,28)*
c(24,32,20)s(48,40,20)s(40,24,28)*-
c(24,32,20)s(32,24,20)-s(24,32,20)*
s(32,48,20)t(24,48,28)*s(32,40,28)*
t(40,32,20)s(24,40,28)+s(32,24,20)*
c(24,40,20)s(24,24,28)*t(32,40,20)+
s(40,24,28)c(24,40,12)-t(24,32,28)-
c(32,48,12)c(40,24,20)+s(24,32,28)*
s(40,24,20)s(32,40,28)*c(40,40,12)+
s(32,8,12)c(24,32,20)t(32,16,12)-+
s(8,40,12)c(32,32,20)+c(32,16,12)-
c(32,40,20)s(16,32,20)+s(32,48,20)*
c(24,40,20)t(40,48,20)-c(24,32,20)*
s(40,24,28)s(32,32,12)-s(32,24,20)*
s(32,16,20)s(24,24,20)s(24,16,20)+*
s(40,40,20)s(32,24,20)+t(32,40,20)*
t(24,40,28)c(40,32,20)*t(40,56,12)+
s(32,16,20)s(48,32,20)+c(40,32,20)*
s(40,32,28)t(32,32,20)s(48,8,12)+*
c(16,32,12)s(24,8,12)+t(32,32,28)-
s(32,40,28)s(24,48,20)-t(40,24,20)-
c(32,32,28)s(40,24,20)-s(16,16,12)-
s(32,32,28)s(16,40,20)-c(24,32,12)-
c(32,32,20)s(40,32,28)*s(48,16,20)-
s(40,24,20)c(24,32,12)+t(40,32,20)*
s(48,16,20)c(32,32,28)c(24,32,20)-*
c(32,24,20)t(40,40,12)c(40,24,12)+*
s(32,8,12)c(16,16,12)+s(24,40,28)-
c(32,32,20)c(32,48,12)-s(40,32,28)*
s(32,32,20)t(16,24,12)t(40,48,20)+-
t(48,32,12)t(32,48,28)c(24,40,12)-+
s(32,24,12)s(16,40,12)t(32,32,12)++
s(48,16,12)s(32,48,12)s(48,40,12)++
s(8,32,12)s(16,8,12)+s(16,16,20)*
t(40,16,12)c(32,24,20)t(24,32,20)*+
s(24,40,28)c(40,48,12)s(24,48,20)+*
s(32,32,28)c(16,16,12)t(40,40,20)+-
s(32,40,28)t(48,56,12)c(24,24,12)++
s(8,24,12)t(24,32,28)c(40,32,20)-+
s(48,16,12)s(24,32,12)+t(16,24,12)-
s(48,24,12)s(16,24,20)+c(24,32,20)*
s(40,24,28)t(32,32,28)-s(40,40,20)-
s(16,24,20)c(40,48,12)+s(8,48,12)+
c(40,24,20)s(24,40,20)-c(40,32,20)*
c(40,24,20)t(48,24,12)-t(32,32,28)*
s(32,32,28)s(40,24,28)c(16,16,12)+-
s(40,32,20)t(32,32,28)+c(24,40,20)*
s(32,48,12)s(48,32,20)+s(40,40,20)*
t(32,24,20)s(40,32,28)s(32,32,20)-+
t(32,32,28)c(32,40,20)*c(32,24,20)*
s(40,24,20)s(48,16,20)t(32,48,20)+*
t(24,40,28)c(24,40,20)s(16,16,20)-*
t(32,32,28)s(40,48,12)-c(32,40,20)+
t(48,56,12)s(40,40,20)+c(32,40,12)-
s(48,32,20)s(24,40,20)c(48,16,12)++
s(32,40,28)s(24,32,28)*s(32,40,20)*
t(24,48,20)c(32,32,28)s(16,40,20)--
s(40,24,20)s(40,48,12)c(32,16,12)+-
s(40,16,20)c(40,24,20)s(32,16,20)**
t(24,56,12)s(48,16,12)+c(40,40,20)+
c(32,40,20)s(16,24,20)-t(16,48,12)-
t(48,24,12)t(24,40,20)+s(32,24,28)*
s(40,24,28)s(32,32,20)*s(24,24,28)*
c(40,40,20)t(32,40,20)-s(32,48,12)-
s(8,32,12)t(24,32,28)s(40,32,20)*+
s(40,40,12)s(40,16,12)t(32,32,20)++
s(24,48,12)s(8,32,12)+s(16,40,20)*
t(24,40,28)t(24,48,28)*s(8,40,12)-
s(16,24,20)t(16,16,12)-c(16,32,12)+
c(32,32,28)s(32,16,20)-t(32,40,28)+
c(24,48,12)c(32,24,20)+c(48,16,12)-
s(32,40,28)s(24,48,20)s(16,48,20)**
s(48,32,20)s(40,32,28)c(40,24,20)-+
s(24,48,20)c(32,32,28)s(16,48,12)-+
c(40,24,12)s(16,40,20)+c(24,40,12)-
s(16,24,12)c(24,40,20)+c(24,32,20)+
s(40,40,28)s(32,48,20)*t(24,40,28)*
c(40,40,20)c(48,16,12)+s(32,24,28)+
c(40,24,12)c(24,32,12)+s(32,40,20)*
c(48,48,12)c(24,32,12)s(48,16,12)++
c(40,40,20)c(24,24,12)t(24,40,12)+-
s(32,40,28)s(16,24,20)-t(40,32,20)*
c(48,40,12)t(24,48,20)+c(24,32,20)-
s(40,32,12)s(16,48,20)c(24,40,12)++
t(32,48,28)t(40,24,12)+s(24,40,20)*
s(24,8,12)s(40,48,20)+t(40,48,20)-
c(40,24,20)c(32,24,20)c(24,40,20)*-
s(40,16,20)t(40,48,20)c(32,32,12)+-
t(24,24,20)s(32,40,20)t(32,32,20)++
t(24,32,28)s(32,32,28)s(24,24,20)*-
c(32,40,12)t(32,16,12)+c(24,16,12)-
c(32,32,20)s(48,32,12)t(24,32,20)+*
t(32,32,28)t(24,48,28)t(40,48,12)-*
t(32,32,20)s(32,32,20)s(24,40,28)**
s(24,32,28)c(24,24,20)s(32,40,20)-*
s(32,40,28)s(32,32,12)-t(24,48,28)-
s(40,40,12)c(16,32,12)+s(32,40,28)*
s(32,32,28)t(32,32,28)c(40,24,20)*-
s(24,16,12)s(32,48,20)+s(40,40,28)*
c(16,24,12)s(40,40,20)s(32,48,20)-+
t(32,32,28)t(40,32,20)-s(16,48,20)+
c(32,24,20)s(48,24,20)*t(32,48,28)-
s(8,8,12)s(32,32,28)s(32,40,12)-+
t(32,32,28)s(24,32,28)s(32,40,20)**
t(40,24,20)s(24,24,28)+s(16,40,20)-
s(32,32,28)t(32,40,28)*c(24,40,20)+
c(40,32,20)t(40,32,12)s(24,32,20)+*
t(32,32,20)s(32,48,20)s(24,24,20)--
c(24,24,12)c(16,48,12)+t(24,32,28)*
t(32,32,28)s(40,24,28)*s(48,32,20)-
s(16,24,20)t(32,32,20)c(24,48,12)--
s(32,40,28)s(40,40,28)c(32,24,20)*-
t(32,32,28)s(40,24,12)-s(32,24,20)-
t(24,32,28)t(32,48,28)s(32,40,20)-+
s(32,40,28)c(24,48,12)c(48,24,12)+*
s(24,40,20)t(24,32,20)s(48,8,12)+*
s(16,32,20)s(32,32,28)s(40,40,20)-*
s(40,24,28)s(24,32,28)*t(32,32,20)*
s(24,40,28)t(24,32,28)t(32,32,28)*-
c(40,32,20)c(40,40,20)c(24,32,20)**
s(16,40,20)s(24,24,28)+c(24,24,12)-
c(32,32,20)s(32,48,12)-c(40,40,20)-
s(24,24,20)c(40,24,20)s(32,16,20)*-
t(24,48,28)s(40,16,12)+s(24,40,20)*
t(32,32,20)c(32,32,28)t(40,48,20)*+
s(16,32,12)c(40,32,20)+s(32,40,28)*
s(32,40,20)c(24,40,12)t(32,40,12)+-
t(24,40,28)t(32,40,20)c(32,32,12)+*
s(40,40,20)t(32,40,12)-t(24,32,28)-
s(24,16,20)s(24,24,20)+t(24,32,28)-
t(24,24,20)s(24,40,28)c(24,24,20)**
c(24,24,12)t(40,48,20)+t(24,40,20)-
s(40,48,20)c(40,32,20)*s(40,32,20)*
s(32,32,20)s(32,48,12)+s(48,40,20)-
c(24,40,20)c(40,40,20)c(40,32,20)+-
s(40,40,28)t(40,48,20)t(32,16,12)+*
s(32,32,20)c(48,48,12)+c(24,24,20)*
s(40,24,20)t(40,32,20)-t(40,48,12)+
t(40,40,20)c(40,40,20)c(24,32,20)-+
c(32,24,20)s(32,40,28)s(40,32,28)**
s(32,24,28)s(48,24,12)t(24,32,12)+*
s(40,8,12)s(32,40,20)+t(40,40,20)*
s(24,48,20)t(24,16,12)+t(32,48,20)*
s(24,40,20)t(32,32,28)c(32,32,12)--
t(32,40,20)c(40,40,20)t(48,40,12)-*
s(32,32,28)t(40,24,12)-t(16,24,12)-
s(32,24,28)c(24,40,12)t(40,40,20)+*
s(32,32,28)c(40,48,12)t(32,48,12)+-
c(32,40,20)c(16,32,12)-s(48,40,20)-
c(32,32,28)s(48,24,20)*c(40,40,20)*
s(40,40,20)t(32,32,28)*c(16,32,12)+
c(32,40,20)t(24,40,28)*c(40,40,20)*
t(32,56,12)s(16,48,20)s(24,48,20)*+
t(32,48,20)t(32,24,12)+s(16,16,20)-
s(24,32,20)s(32,16,12)-t(32,24,12)-
t(32,48,28)s(16,48,20)s(32,32,28)+*
c(32,24,20)s(24,32,20)*s(16,16,20)+
s(8,24,12)s(48,40,20)t(24,48,28)++
s(40,32,28)t(32,40,28)+s(48,48,20)-
s(40,24,20)s(40,40,12)-s(40,16,12)-
c(48,40,12)s(16,32,20)t(48,56,12)++
s(24,32,28)s(32,16,20)+t(32,48,28)*
t(40,24,20)s(32,24,28)t(24,40,28)-*
s(24,40,28)t(24,48,12)c(24,16,12)+-
s(32,48,12)t(16,16,12)s(48,24,12)++
t(16,24,12)t(24,48,28)+t(24,56,12)-
c(32,24,20)t(32,40,28)*t(32,16,12)+
s(24,40,20)c(40,40,20)c(40,32,20)*-
c(32,40,20)c(32,40,20)t(24,32,28)*-
c(32,32,28)s(40,48,20)c(32,32,20)*-
s(32,16,20)s(24,48,12)+s(40,16,20)*
s(32,48,20)t(24,24,12)+s(24,24,28)*
s(16,40,20)t(48,32,12)+s(48,40,12)+
s(48,16,20)s(40,24,28)t(32,32,12)-*
t(24,32,28)c(16,32,12)t(32,24,12)+*
s(24,32,28)c(32,32,20)s(24,40,28)*-
c(48,16,12)c(24,16,12)+s(16,24,20)+
s(24,40,28)s(32,48,20)s(16,40,12)-*
s(32,16,20)s(32,32,28)*t(16,40,12)+
t(40,24,12)t(24,48,20)+s(32,40,20)*
s(48,24,12)s(24,48,20)+s(32,32,20)-
s(32,32,28)s(32,16,12)-s(16,32,20)*
t(32,48,28)s(32,32,28)*t(40,48,12)+
t(40,48,20)c(32,32,12)-c(32,32,12)+
s(40,32,28)c(32,24,20)*s(16,40,20)-
s(48,40,20)t(24,48,28)s(32,40,20)*-
s(16,16,20)s(16,40,20)-s(8,8,12)-
c(32,40,20)s(24,16,20)-s(24,48,20)*
t(24,24,20)t(40,56,12)s(16,8,12)+-
t(32,48,28)s(32,16,20)+c(24,24,20)*
t(24,32,20)t(48,32,12)+t(40,32,20)-
c(16,16,12)t(40,48,20)s(24,48,12)-+
s(16,32,20)s(32,40,20)t(32,32,12)-+
s(32,40,20)s(16,32,20)t(40,32,12)+*
t(16,40,12)s(48,48,20)+c(32,32,20)*
c(40,40,20)t(32,48,28)s(48,24,12)+*
c(40,24,20)s(32,24,20)s(24,24,20)**
c(24,24,12)s(24,48,20)s(40,24,28)-+
c(32,40,20)s(24,40,20)c(40,24,20)--
c(32,32,28)s(40,40,20)-t(16,32,12)-
s(40,40,20)t(32,40,28)s(24,24,28)*+
s(32,40,28)s(40,32,28)*t(40,24,20)+
t(32,48,20)c(24,24,20)s(24,40,20)*-
t(24,48,28)s(24,32,28)t(16,40,12)-*
c(24,40,20)s(40,40,28)s(32,40,28)**
s(16,48,20)t(24,32,12)-c(32,48,12)-
s(40,32,28)s(8,8,12)+s(32,32,12)-
c(40,24,20)c(16,32,12)c(32,24,20)++
s(32,32,28)s(32,16,20)c(48,16,12)+*
s(24,48,20)t(40,32,20)t(32,48,20)+-
t(16,56,12)s(32,24,20)+s(40,32,28)*
s(32,32,20)t(24,40,28)+t(40,32,20)-
s(32,32,20)c(24,24,20)*t(32,32,20)*
c(40,32,20)c(32,40,20)*c(48,32,12)-
t(32,32,20)t(32,16,12)-t(16,40,12)-
s(32,24,20)s(32,32,12)t(40,24,20)+*
t(32,48,28)s(48,48,12)-c(32,40,20)*
s(40,40,28)t(24,32,28)c(24,16,12)-*
t(24,40,28)c(24,40,20)+s(40,40,20)-
c(40,24,20)s(32,8,12)+t(24,24,20)-
s(24,40,28)s(16,24,20)+t(24,24,12)-
s(24,32,28)t(40,32,20)-t(32,32,28)*
s(24,24,20)s(16,48,12)+s(24,24,28)+
s(40,32,20)t(24,40,20)s(16,40,20)*-
s(32,24,28)t(32,40,28)+c(48,24,12)-
s(40,24,28)s(48,24,20)-s(32,24,12)-
c(32,32,20)c(24,40,20)*t(24,24,20)+
s(24,24,28)t(40,32,20)s(48,16,20)+*
t(32,40,28)c(24,24,20)t(16,24,12)-*
s(32,24,28)s(24,24,28)*t(24,40,28)*
c(32,32,20)s(24,16,20)+s(48,32,20)-
s(24,40,28)t(48,16,12)+s(16,24,20)*
s(32,40,28)c(24,40,12)-s(16,32,20)-
c(40,40,20)s(16,32,20)s(24,32,20)*-
s(40,8,12)s(24,16,20)+t(32,24,20)-
t(32,24,20)t(24,32,20)+s(40,48,12)+
c(16,40,12)c(24,24,20)+s(32,8,12)-
t(24,32,28)s(40,24,20)+c(24,16,12)-
s(16,40,20)s(24,32,20)t(24,32,28)*-
s(24,32,28)t(32,48,28)*c(32,24,20)+
s(24,40,20)s(32,48,20)*s(40,40,28)*
s(48,48,20)t(24,32,28)c(40,32,20)*-
s(32,40,20)s(48,32,12)-t(24,40,20)+
s(48,40,20)c(32,40,20)t(32,48,12)--
c(32,32,28)c(48,16,12)-s(32,40,28)*
c(40,32,20)s(32,24,20)*t(32,24,20)*
t(32,40,28)c(32,24,20)s(32,32,28)**
s(24,24,28)s(8,16,12)-s(8,40,12)-
t(40,16,12)t(32,24,20)+c(48,24,12)-
s(16,16,20)s(32,32,12)+s(24,40,28)*
s(16,24,12)t(24,48,20)+s(24,24,28)*
s(40,40,28)c(40,24,20)s(24,24,28)**
s(16,40,20)t(24,24,20)s(8,32,12)-+
t(32,32,28)t(32,40,20)-t(40,16,12)+
s(16,48,20)s(32,32,20)-c(16,40,12)-
c(32,40,20)s(24,32,28)*s(32,24,12)-
c(32,40,20)c(32,32,20)s(40,24,12)-*
t(32,40,28)t(32,32,28)s(32,48,12)--
t(32,24,20)s(48,8,12)+c(32,24,20)*
s(40,32,28)t(32,32,20)-s(24,32,28)*
t(32,40,20)c(16,40,12)+s(24,48,20)*
t(24,32,28)s(32,24,28)s(32,32,20)-+
c(40,24,20)c(32,24,20)*s(16,48,12)+
s(48,16,12)c(24,32,20)+t(40,40,20)-
t(40,48,20)s(40,40,28)s(40,32,12)-*
c(32,24,20)c(48,40,12)-c(40,32,12)-
s(48,16,12)t(24,32,28)t(32,40,28)-+
t(32,48,28)s(48,40,20)+c(32,24,12)-
s(32,24,20)s(32,32,20)s(40,48,20)+*
s(24,32,28)t(16,56,12)+s(32,40,28)*
t(24,40,20)c(40,40,20)+s(40,16,20)+
s(40,16,20)c(24,24,20)s(8,16,12)+-
t(24,48,28)t(24,32,20)+s(32,48,20)*
c(40,40,20)t(32,40,20)t(24,16,12)+*
t(32,32,28)s(48,32,20)t(16,24,12)+*
c(24,24,20)s(40,24,28)*c(40,24,20)*
s(32,24,28)s(32,40,20)+s(40,32,12)-
t(40,32,20)t(32,48,12)s(40,16,12)+-
s(48,24,20)s(40,40,28)s(40,16,20)--
c(24,24,20)s(40,24,28)s(24,16,12)-*
s(32,48,12)t(24,16,12)c(48,16,12)++
c(40,24,20)c(32,40,20)s(32,48,20)*+
c(32,40,20)s(32,48,20)*t(32,48,28)*
s(40,40,28)c(40,24,20)*c(32,32,20)*
t(40,24,20)s(32,24,20)+s(40,24,20)*
t(24,32,28)s(48,40,20)-s(32,48,20)-
t(40,24,12)s(48,48,20)c(24,40,20)-+
s(16,48,20)t(32,48,20)+c(24,40,20)*
t(32,48,20)s(48,48,12)c(32,48,12)++
c(24,40,20)t(48,48,12)+t(24,32,12)-
c(24,24,20)t(24,48,20)-s(24,32,28)*
s(40,24,20)s(32,40,20)-c(32,48,12)+
c(24,40,20)s(32,48,12)-s(48,40,20)-
s(32,40,20)t(24,32,12)-s(48,24,20)+
s(40,32,20)s(32,8,12)+s(48,32,12)-
c(40,40,20)s(40,40,28)s(32,24,28)**
c(40,32,20)t(32,32,28)*t(40,16,12)+
c(24,32,20)s(48,32,20)-c(32,40,12)-
s(32,48,20)c(24,40,12)s(16,48,12)+-
t(32,32,28)t(24,40,28)s(48,32,20)-*
c(40,40,20)s(40,40,28)s(40,40,12)-*
s(40,16,20)s(48,16,20)s(48,24,20)**
s(32,40,20)s(32,24,28)t(32,32,28)**
c(32,32,28)t(32,32,28)-s(40,32,28)*
t(32,40,20)t(40,24,20)s(40,8,12)-+
s(24,40,20)t(32,48,28)t(24,48,12)-+
c(24,32,20)s(40,32,28)s(40,40,12)-*
s(32,24,28)c(32,24,20)c(40,40,20)+*
s(16,48,20)s(40,32,12)+t(24,32,28)-
s(40,40,28)s(24,48,20)t(16,32,12)-*
c(32,32,20)s(24,48,20)*s(48,16,20)+
s(40,40,20)s(40,32,20)*t(32,48,28)+
s(48,40,20)t(40,32,20)t(32,40,28)+*
s(40,24,28)s(40,16,20)t(40,24,12)-*
t(24,32,28)s(24,48,20)s(32,40,28)*-
c(32,32,28)t(24,40,28)s(16,40,20)**
s(32,40,20)t(32,40,12)-t(48,24,12)+
s(24,40,12)s(32,24,12)+c(32,40,20)*
t(32,32,28)s(40,32,20)*s(24,24,28)*
s(32,32,20)t(24,32,28)c(40,24,20)*-
c(40,24,20)c(24,32,20)*s(32,8,12)+
t(24,32,20)t(40,24,12)+c(24,16,12)-
s(32,40,28)s(32,24,12)-s(24,48,20)*
s(40,24,28)s(24,40,12)t(40,40,20)++
t(32,48,28)s(40,40,28)s(32,40,12)-*
s(24,32,20)t(24,32,20)t(32,40,20)+*
s(32,40,20)t(40,24,12)-c(24,48,12)-
c(40,24,20)s(48,32,20)t(24,24,12)+*
s(32,40,28)c(16,40,12)c(24,32,12)+-
t(48,40,12)s(8,40,12)s(8,32,12)++
c(40,40,20)s(40,40,28)s(32,24,20)*-
s(32,8,12)s(40,24,12)+t(32,24,20)+
s(32,40,28)t(24,40,28)*s(16,32,20)*
c(32,32,20)c(24,32,20)s(16,32,20)*+
s(24,24,28)s(32,32,28)+s(48,32,20)*
s(24,24,20)t(32,32,20)s(24,32,20)+*
t(24,24,20)s(16,24,20)c(40,40,12)+*
s(24,24,28)s(40,24,28)t(24,24,20)+*
c(24,16,12)c(40,32,20)+s(32,40,20)*
t(24,56,12)s(16,24,12)+t(24,16,12)+
s(48,24,20)s(40,32,20)+s(16,48,20)+
c(32,24,20)t(16,40,12)+t(24,24,20)-
s(48,32,20)s(32,32,12)+t(16,32,12)+
s(24,16,20)t(24,16,12)-s(24,24,20)*
c(40,24,20)t(24,32,20)+c(24,32,20)*
s(16,24,20)t(40,40,12)c(24,16,12)+-
s(24,32,28)t(32,32,28)*t(32,48,28)*
s(32,16,20)s(48,24,20)-c(16,24,12)+
c(40,40,12)c(24,32,20)s(24,40,28)*+
s(48,40,20)t(24,32,20)s(24,48,12)++
t(24,32,20)s(32,16,12)-c(32,48,12)-
s(32,48,20)t(40,40,20)c(40,24,12)-+
s(32,32,28)s(40,16,20)c(32,24,12)+*
s(32,24,28)c(24,24,20)*s(24,40,12)-
t(32,32,28)c(32,24,12)-s(32,48,12)-
s(32,32,28)s(32,32,20)-s(24,32,20)-
t(24,40,20)t(24,24,20)+s(40,32,28)*
s(32,48,20)t(40,32,20)+t(24,48,20)*
s(16,24,20)s(24,48,12)s(8,8,12)+-
c(24,32,12)t(32,24,12)+s(24,48,20)+
s(24,32,20)s(32,16,20)-t(32,32,28)*
s(24,32,20)t(32,32,20)-s(40,40,20)+
t(32,24,12)t(24,48,28)+t(24,32,20)-
c(32,40,20)t(40,48,12)s(16,24,20)++
s(24,24,28)t(24,48,28)c(48,32,12)+*
c(32,32,20)s(32,24,28)*t(32,24,20)-
s(24,40,28)s(24,40,12)s(40,24,20)+-
s(16,8,12)t(32,48,28)s(24,48,20)*+
s(48,40,20)c(24,40,20)t(24,40,28)*-
s(48,32,20)t(24,40,20)c(32,24,12)+-
c(16,16,12)t(40,32,20)s(16,48,20)++
t(40,16,12)s(16,40,12)+c(24,48,12)-
c(40,24,20)s(48,16,20)+t(24,32,20)-
s(48,32,20)s(32,40,20)c(32,24,20)*-
s(32,40,28)c(24,16,12)t(32,40,20)+-
s(48,48,20)c(24,32,12)+t(40,56,12)-
s(16,48,20)s(24,40,28)t(24,48,12)-*
s(24,32,28)s(40,40,20)-t(40,24,20)-
t(24,56,12)c(32,24,20)c(48,48,12)++
c(48,24,12)t(40,48,20)+c(40,24,20)*
c(32,24,20)s(32,48,20)s(16,24,20)+*
s(16,16,20)c(16,40,12)s(40,24,12)++
c(24,40,20)t(24,48,20)c(24,32,12)--
s(16,32,20)c(32,40,20)+s(40,32,28)+
c(32,32,28)s(24,40,12)-c(40,32,20)*
s(24,16,20)s(24,32,28)*s(40,24,12)-
s(40,40,20)s(48,24,20)s(40,24,20)*-
s(32,40,20)t(24,40,28)*s(48,48,20)-
s(40,40,28)s(48,40,12)-s(32,48,12)-
s(24,40,20)t(32,40,28)+t(24,48,28)*
s(40,40,28)t(24,56,12)t(24,32,28)+*
c(32,24,20)s(40,40,28)*t(48,48,12)+
s(40,32,20)c(24,16,12)+s(32,16,20)+
s(40,48,20)s(32,24,12)s(32,48,12)+-
s(32,32,20)t(40,32,12)-s(40,24,28)*
t(24,40,28)s(32,48,12)-s(16,48,12)-
s(32,32,28)s(32,16,20)*t(32,32,28)+
c(32,40,20)t(24,48,20)-s(40,48,12)+
s(40,32,28)t(40,40,20)s(32,24,20)+*
c(32,32,28)t(40,40,20)s(32,48,12)+-
s(24,40,28)s(32,32,20)-s(32,24,28)-
c(32,48,12)t(48,48,12)+t(24,32,12)+
s(48,40,20)s(40,16,12)s(40,40,20)+*
t(32,32,20)s(32,40,20)s(48,24,20)+*
t(24,40,28)s(24,40,28)t(24,32,20)-*
c(24,32,20)c(32,24,20)s(48,32,12)-*
t(24,32,20)c(16,16,12)s(48,40,12)++
c(32,48,12)t(32,48,12)t(32,32,12)++
s(40,32,20)t(24,48,28)s(24,32,20)*-
s(32,8,12)s(16,32,12)+t(32,40,28)-
t(24,48,28)s(24,40,20)s(48,48,12)+*
s(32,24,28)t(24,48,20)+s(24,48,20)*
c(40,32,12)s(32,24,20)+c(40,40,20)-
s(8,24,12)t(24,32,20)+s(24,40,20)*
s(24,24,28)s(24,32,28)s(40,40,28)**
s(24,24,12)t(40,40,20)s(24,32,12)++
t(32,48,28)t(32,40,28)*t(40,24,12)+
s(16,32,12)c(32,32,20)t(32,24,20)-+
c(40,16,12)t(24,40,28)+t(32,40,28)*
c(24,32,20)c(24,24,20)*t(16,32,12)-
c(32,24,20)s(16,16,20)s(40,40,28)-+
s(40,16,20)s(8,8,12)+s(32,24,20)*
c(24,32,20)t(40,32,12)-s(32,24,20)*
s(40,24,28)s(24,24,28)*t(48,48,12)+
s(32,16,20)s(32,16,12)c(40,16,12)+-
s(48,24,20)t(24,56,12)s(24,40,12)++
t(32,40,28)t(24,40,28)c(40,16,12)++
s(24,32,20)t(32,32,28)c(48,40,12)-*
c(32,32,20)c(24,32,20)s(32,40,28)**
s(32,16,20)t(24,32,28)c(32,24,12)+*
c(40,32,12)s(16,48,20)+c(40,32,12)-
s(32,24,28)s(40,40,28)t(24,40,28)*-
c(32,24,20)s(16,24,20)*s(40,48,20)+
s(24,32,28)c(24,24,20)*s(40,16,12)-
c(32,40,20)c(24,24,20)+s(24,16,20)*
c(32,40,20)s(48,40,20)-s(32,40,20)*
t(40,32,20)s(32,40,28)c(32,24,20)**
t(32,48,28)t(24,32,28)s(40,40,28)*-
s(40,24,28)t(32,32,28)s(40,40,20)**
s(24,48,20)s(40,48,20)t(40,32,12)+-
t(32,40,28)t(32,48,20)+c(48,40,12)+
s(40,32,28)s(32,40,20)+s(32,40,20)-
s(24,32,28)s(32,40,20)+s(24,48,12)-
c(32,32,20)s(32,24,12)c(48,16,12)+*
s(16,32,20)c(16,40,12)s(48,48,12)+-
c(32,32,20)s(48,32,20)t(16,24,12)+-
s(24,40,20)s(40,40,20)c(32,48,12)+*
s(32,32,28)s(24,32,28)s(32,40,20)-+
s(24,40,20)s(16,40,20)s(24,32,28)*+
s(32,40,28)c(40,24,20)*s(16,24,20)-
t(32,48,28)c(16,24,12)+c(40,40,20)*
c(32,40,20)t(16,56,12)t(16,40,12)++
t(32,40,28)t(32,48,20)*s(24,48,12)+
s(24,32,20)c(24,16,12)+t(24,40,20)+
s(40,40,28)s(40,32,28)s(40,16,20)+*
s(32,24,28)s(40,24,28)*t(24,56,12)+
c(16,32,12)c(40,24,12)+c(16,40,12)-
c(40,16,12)s(24,40,20)+s(32,32,28)*
c(40,32,20)s(24,40,28)t(48,32,12)+*
s(24,40,28)s(40,32,20)s(24,24,28)**
s(32,48,20)s(24,40,28)*c(16,32,12)-
c(24,32,20)s(24,24,20)*c(40,24,20)*
c(32,32,28)s(8,32,12)c(40,40,12)+-
t(32,40,28)s(40,40,28)s(32,24,20)*-
s(24,24,28)t(24,32,28)*s(48,24,20)-
t(32,40,20)s(16,16,20)+s(24,32,28)*
t(32,40,28)c(24,48,12)-s(48,40,12)-
t(40,32,20)c(32,16,12)+s(40,40,28)*
c(48,32,12)s(8,24,12)t(24,40,28)++
s(24,40,28)s(40,40,20)+c(40,40,20)*
s(32,24,28)s(32,24,12)-s(48,24,20)*
t(24,32,28)s(40,40,28)t(32,24,12)-*
c(24,32,20)t(32,40,28)s(16,40,20)--
c(24,40,20)s(48,40,12)t(32,56,12)+-
s(40,40,28)s(24,40,12)t(32,48,12)+-
s(32,16,20)c(32,40,20)+s(40,24,28)-
c(40,24,20)s(24,48,20)+s(24,16,20)-
s(8,16,12)t(32,32,12)s(48,32,20)++
t(24,32,28)s(48,8,12)+t(48,48,12)+
t(32,40,28)c(32,40,12)-c(16,48,12)-
s(24,40,28)c(32,40,20)s(24,24,28)--
s(32,40,28)c(40,40,20)c(32,24,12)+*
s(32,24,12)t(16,16,12)+s(32,32,20)+
s(32,24,28)s(32,16,12)-c(32,24,20)*
t(32,40,28)c(40,48,12)-c(40,24,12)-
s(24,40,28)s(32,32,28)-s(32,48,12)-
s(16,8,12)s(48,16,20)+s(16,16,20)-
c(48,48,12)s(48,16,12)+s(48,32,20)-
c(40,32,20)s(40,40,28)s(32,48,12)-*
t(24,32,28)s(24,24,20)*t(24,40,28)*
t(24,32,20)t(32,32,28)*s(48,40,20)+
s(16,40,20)s(24,24,20)s(32,32,28)*-
t(40,24,20)s(24,40,28)+c(32,24,20)*
s(32,40,20)t(40,48,12)-c(48,32,12)-
t(24,48,28)s(40,32,28)-s(24,32,28)-
t(32,32,12)t(24,48,28)+s(16,48,20)-
s(24,24,20)t(32,16,12)-s(32,40,28)*
s(40,40,20)t(32,40,12)s(48,40,20)+*
s(32,16,20)s(40,24,28)*c(32,32,20)*
c(32,40,20)t(48,32,12)-s(40,40,20)*
s(16,32,20)t(32,48,20)+s(24,40,28)*
c(32,24,20)t(24,48,28)-c(32,40,20)-
t(48,40,12)c(32,32,12)c(16,24,12)++
c(32,32,20)s(24,32,28)*c(32,16,12)-
t(24,32,28)c(24,24,20)s(16,16,20)+*
s(40,32,20)c(40,32,20)c(24,32,12)-*
s(32,32,20)s(24,24,12)c(48,32,12)+*
s(24,32,28)s(32,16,12)-s(32,40,28)-
s(24,32,20)t(24,32,28)s(40,24,28)**
c(32,40,20)t(40,32,20)c(24,32,12)--
s(24,40,12)s(40,48,12)t(32,24,20)++
c(32,32,20)c(32,32,28)s(32,48,20)*-
s(32,48,20)t(32,48,28)c(40,32,12)-*
s(32,48,20)t(24,32,20)+s(40,40,20)*
s(32,48,20)s(24,24,28)s(32,24,28)*+
c(24,32,20)c(16,48,12)-t(24,32,20)-
s(32,32,12)s(16,40,20)s(32,40,28)*+
c(24,24,20)s(40,32,12)-t(32,24,20)-
t(40,24,12)s(8,24,12)+t(32,32,20)-
c(32,48,12)c(40,24,20)s(16,24,20)++
s(48,48,20)c(40,32,20)+s(32,32,20)*
s(40,32,28)c(32,48,12)-s(16,24,12)+
s(40,16,20)s(24,16,20)-c(32,40,20)-
t(24,40,28)c(40,32,20)+s(40,40,28)*
c(40,48,12)s(40,32,20)c(40,40,20)*+
t(32,32,12)s(24,16,20)+s(32,24,12)-
t(40,24,12)s(24,32,28)s(40,40,28)-+
s(48,32,20)c(32,40,20)c(40,40,20)**
t(32,32,28)c(24,40,20)*c(40,32,12)-
s(32,16,20)s(24,40,28)-t(32,48,12)+
s(16,16,20)s(16,32,12)-s(8,32,12)+
s(16,32,12)s(32,32,20)+t(24,32,28)*
s(8,16,12)t(24,32,12)+t(32,48,12)+
t(48,16,12)s(48,32,20)s(40,16,12)-+
s(24,40,28)t(32,32,12)-t(32,32,12)+
t(40,48,20)s(40,24,12)s(48,48,20)+*
s(16,40,20)s(8,24,12)-t(24,24,20)+
s(32,16,20)s(32,32,28)s(24,16,20)**
c(32,32,12)t(32,48,28)t(24,32,20)-+
s(40,24,28)c(32,32,20)c(40,40,20)*-
c(24,40,20)t(32,48,20)*s(24,48,20)*
c(40,40,20)s(32,24,28)*c(24,32,20)*
s(16,24,20)c(32,40,20)+s(48,48,20)*
t(32,48,28)s(48,32,20)-s(32,16,20)+
s(16,40,20)t(32,40,28)t(16,48,12)--
s(24,32,28)s(32,32,28)*t(40,48,20)-
s(32,40,20)t(40,40,12)-t(32,40,28)*
c(40,40,20)t(24,48,28)*t(16,16,12)+
c(40,40,20)s(24,40,28)*t(24,40,28)*
c(32,32,20)s(16,48,20)-t(32,32,20)*
t(40,40,20)c(24,48,12)s(8,8,12)+-
t(32,24,20)s(40,24,12)+c(24,24,20)*
s(24,32,20)t(48,48,12)s(24,16,20)+*
s(32,24,20)c(24,24,20)c(32,32,20)-+
c(32,40,20)s(32,32,28)s(24,48,12)--
s(32,40,20)t(24,48,12)t(32,56,12)+-
t(40,24,20)c(32,32,20)t(16,48,12)+*
s(16,24,12)s(48,8,12)+s(16,48,12)+
c(40,48,12)s(24,32,20)c(32,40,12)-+
c(32,32,20)s(40,24,28)*t(24,24,12)-
c(32,48,12)t(32,56,12)+s(8,48,12)+
s(24,32,12)s(40,48,20)t(32,32,20)-+
t(32,40,28)s(16,48,12)t(40,40,20)+*
s(24,40,28)c(40,24,12)-t(24,48,28)+
s(40,40,28)s(40,24,20)s(16,40,12)+*
s(40,40,28)c(24,40,20)s(24,24,28)+*
t(48,56,12)s(24,16,12)t(16,24,12)++
s(40,32,20)c(16,32,12)s(16,48,20)+-
c(24,48,12)s(24,24,28)t(40,16,12)-+
s(40,24,20)s(16,16,20)-c(40,40,12)+
c(24,24,20)s(32,40,28)s(32,24,28)*-
s(24,32,20)s(40,16,20)-c(24,24,12)-
s(16,40,20)s(32,16,20)+c(32,40,20)*
t(24,40,20)s(8,32,12)s(40,32,28)+*
s(32,48,20)s(40,24,20)s(16,48,20)++
c(40,32,20)s(32,24,28)s(24,40,20)--
c(32,32,20)t(40,24,20)*c(48,16,12)+
c(32,40,20)c(32,24,20)s(48,32,20)+-
c(40,40,20)s(24,32,12)-s(40,32,20)*
s(48,8,12)s(16,32,20)t(24,32,20)-+
s(24,48,12)s(8,24,12)+s(16,16,12)+
s(48,32,20)t(40,48,20)+c(40,40,12)-
c(40,48,12)t(40,48,12)s(40,16,20)++
c(48,32,12)s(32,24,28)c(24,40,20)*+
s(32,32,28)t(48,56,12)c(32,40,12)++
s(40,48,20)c(40,24,12)+c(24,40,20)*
s(40,24,28)t(48,32,12)s(16,16,12)+-
s(40,48,20)t(24,32,28)t(32,48,28)*-
c(40,40,20)t(40,40,20)-s(16,32,20)+
s(32,24,20)s(24,40,28)+c(32,32,20)*
t(32,48,20)s(32,24,28)t(32,40,28)*-
t(32,40,28)c(48,48,12)+s(32,16,20)-
s(40,24,28)c(32,32,20)t(24,40,12)--
t(32,40,28)c(32,40,20)s(40,40,20)**
s(32,24,20)s(32,24,28)s(24,32,12)-*
c(32,32,20)c(40,48,12)-s(48,8,12)+
t(32,48,28)t(24,32,20)-t(24,16,12)+
s(16,8,12)t(32,48,20)+s(40,40,20)-
s(24,24,28)t(16,24,12)s(40,24,28)+-
s(40,48,20)c(40,32,12)s(32,40,12)++
s(24,48,20)t(16,16,12)c(32,40,20)+*
s(48,16,20)t(32,48,12)+c(40,48,12)+
s(24,24,28)t(32,40,20)c(16,48,12)+*
s(32,40,20)s(24,48,12)s(16,24,20)+*
s(40,32,28)c(32,24,12)-c(24,24,20)-
c(40,48,12)s(48,24,20)+t(48,16,12)-
s(32,24,20)s(48,24,20)*s(48,32,12)+
c(32,32,28)c(32,40,12)t(24,24,20)+-
s(40,24,28)c(32,32,20)-t(16,24,12)+
t(32,48,28)c(24,48,12)-t(40,32,12)-
t(24,56,12)t(40,32,12)s(24,24,12)++
t(32,40,28)t(32,32,20)c(24,32,12)+*
t(24,48,28)t(16,56,12)s(32,32,20)+*
t(24,16,12)s(40,48,12)s(48,40,12)++
s(16,48,20)c(32,24,20)s(40,24,20)--
c(24,40,20)t(40,48,20)-s(32,24,28)*
t(48,40,12)s(32,24,20)t(24,24,20)*+
s(40,32,20)s(40,16,12)-s(40,24,28)*
s(48,24,20)s(40,32,28)c(32,40,20)+*
c(32,24,20)s(48,16,20)*c(40,48,12)+
s(40,24,28)c(24,32,20)s(40,32,20)*-
s(40,32,28)t(24,24,12)s(24,48,12)+-
s(40,32,28)t(16,24,12)+t(40,24,12)-
s(16,40,20)c(32,32,20)t(40,24,12)-*
t(40,40,20)t(24,32,20)c(24,48,12)++
t(32,32,28)c(24,40,20)t(24,32,28)**
s(40,16,12)c(40,32,20)c(40,24,20)*+
s(24,32,20)t(32,48,20)c(16,32,12)+*
c(32,32,12)s(32,24,20)s(40,16,20)*+
s(48,24,20)t(24,40,28)c(32,32,20)+-
t(32,16,12)t(24,32,28)t(32,48,28)-+
t(40,40,20)t(24,48,12)+s(24,32,28)*
s(40,32,20)s(40,40,28)t(24,32,28)**
t(24,32,20)c(40,40,20)t(24,24,20)--
t(40,24,20)t(24,48,12)+c(32,32,20)*
s(16,8,12)s(40,40,12)+s(48,24,20)+
s(24,16,12)t(40,40,20)+s(24,16,12)-
s(24,16,20)t(16,16,12)s(32,32,20)+*
c(24,40,20)s(16,32,20)*s(16,24,12)-
c(40,24,20)t(32,48,12)c(32,24,12)+*
s(16,48,20)s(32,40,20)c(24,32,20)*-
c(24,48,12)t(16,24,12)+c(40,40,20)+
t(24,32,28)s(32,24,20)-s(8,8,12)+
c(24,24,20)c(16,24,12)t(40,48,20)+*
s(48,32,12)t(32,48,20)+c(40,32,20)*
c(40,32,20)s(32,32,28)t(24,40,28)**
s(32,24,28)s(16,48,20)c(32,32,12)+*
s(32,32,20)t(48,32,12)+s(32,16,12)-
s(40,32,28)s(40,48,12)-c(40,32,20)*
c(40,24,20)s(48,48,20)-s(8,48,12)+
t(32,32,28)s(16,40,20)s(32,16,20)+*
s(40,32,28)c(32,32,20)c(48,32,12)-*
c(24,32,20)s(40,24,20)+s(32,40,20)*
s(24,40,20)c(24,32,20)*c(24,24,20)+
c(32,32,20)t(24,32,28)c(48,40,12)-*
s(24,16,20)s(24,32,20)s(40,40,12)+*
t(32,40,20)s(32,24,20)s(40,40,20)+*
t(24,24,12)s(40,32,20)+t(24,32,28)*
s(24,16,12)s(24,32,20)+c(32,24,20)*
s(32,32,28)s(24,24,28)*s(48,48,20)-
c(32,24,20)t(24,40,28)*s(40,24,28)*
c(24,40,20)s(8,16,12)+s(24,24,28)*
s(40,24,20)t(24,48,28)-s(48,8,12)+
s(40,32,28)t(32,24,20)*c(24,32,20)*
t(24,32,20)s(16,32,20)s(48,32,12)+*
s(32,48,12)s(16,16,12)+t(24,48,12)+
t(32,48,28)c(16,40,12)+s(16,32,12)-
s(16,16,20)s(32,24,12)c(40,40,12)++
s(48,24,20)s(48,32,12)-s(24,48,20)+
s(40,32,28)s(32,32,28)*s(16,48,20)-
t(40,32,20)s(32,24,20)s(32,32,20)+*
c(40,40,20)c(24,24,20)t(48,24,12)+*
c(24,24,20)c(16,32,12)-s(40,24,20)*
s(40,24,20)c(24,40,20)t(24,48,28)*-
s(24,32,20)t(24,48,20)-s(24,40,28)*
s(40,8,12)c(24,40,20)+s(48,40,20)-
c(40,24,20)c(32,24,20)s(32,16,20)*-
s(32,40,28)c(24,24,20)-s(32,24,28)-
t(32,48,28)t(32,40,28)c(40,48,12)--
s(24,32,20)s(24,48,20)c(32,40,20)+*
t(24,48,20)s(8,16,12)+c(24,24,20)-
t(24,40,28)s(40,40,20)s(48,40,12)--
s(32,32,20)t(32,48,28)*t(16,56,12)+
c(40,32,20)s(32,32,28)s(16,48,20)-*
s(32,32,20)c(40,32,20)*t(40,32,20)*
t(32,32,20)c(40,40,20)t(32,32,28)**
s(40,40,20)t(32,48,28)*s(8,40,12)+
t(16,16,12)t(24,32,20)c(48,32,12)++
t(40,32,20)s(24,40,20)+c(48,24,12)-
s(40,32,20)c(32,24,20)+t(48,32,12)-
s(32,8,12)c(40,40,12)+s(24,8,12)+
s(40,16,12)s(32,48,20)s(16,16,12)++
t(16,56,12)s(24,32,28)+t(32,24,20)-
s(24,40,28)t(32,24,12)-s(16,40,12)-
c(24,32,20)s(32,40,20)s(8,32,12)++
s(24,40,28)s(32,24,28)*t(32,40,20)-
s(8,32,12)t(48,48,12)t(24,40,12)++
s(24,32,20)s(32,32,20)*s(40,32,12)+
s(40,24,20)s(40,40,28)t(32,48,28)*-
s(48,16,12)s(40,24,20)t(48,32,12)-+
c(24,40,20)s(32,32,28)*s(40,32,28)*
c(40,40,20)s(16,40,20)-c(40,32,12)-
c(16,40,12)c(48,32,12)+s(32,32,28)*
t(40,56,12)s(24,32,28)+s(40,32,20)*
s(48,40,20)t(40,40,12)-s(48,32,20)*
c(24,16,12)s(16,32,20)+t(24,24,20)*
c(40,40,12)c(48,40,12)+s(32,32,12)+
c(40,24,20)s(24,32,20)*s(48,40,20)+
s(48,16,20)s(16,32,12)s(16,48,12)++
s(32,40,12)t(24,24,20)+t(24,48,28)-
s(16,16,20)t(32,32,28)s(24,32,28)*-
s(32,40,20)t(16,56,12)+c(24,24,20)*
c(40,16,12)s(24,48,20)+c(40,24,20)-
t(32,32,20)t(32,24,12)t(24,40,20)+*
s(48,40,12)c(32,24,12)+c(32,40,20)*
s(16,32,12)s(48,32,20)+t(48,24,12)-
c(32,40,20)s(40,8,12)c(40,32,12)+-
s(32,32,28)s(32,24,12)-s(32,24,20)*
c(16,48,12)t(40,32,20)+c(24,32,20)*
s(40,40,28)s(40,40,20)-s(40,16,12)-
t(32,32,28)s(24,24,28)*t(32,40,28)+
s(24,40,28)s(16,32,20)*s(40,48,20)+
c(40,40,20)s(40,32,28)*t(32,48,28)*
c(24,40,20)t(32,40,20)s(24,40,20)*-
t(24,40,12)t(24,32,20)+t(40,40,20)-
t(40,32,20)c(32,48,12)-s(8,16,12)+
s(48,24,20)s(8,32,12)c(24,40,12)++
s(48,32,20)t(32,32,28)c(32,24,12)--
s(40,16,20)t(24,32,20)+t(32,32,28)*
t(40,40,20)s(40,40,20)s(24,40,12)-+
t(32,32,20)s(40,24,28)s(24,32,20)**
s(24,32,20)t(32,32,20)t(16,48,12)+*
s(16,48,20)t(24,32,12)-s(24,32,28)*
s(24,40,20)t(24,24,20)+s(32,16,12)-
t(32,32,20)s(24,16,20)c(40,40,20)--
s(24,40,20)c(40,40,20)s(32,40,20)+*
c(16,16,12)s(40,40,28)+s(32,24,28)*
s(16,40,20)s(16,24,20)c(24,24,20)*-
t(24,48,28)t(24,32,28)+s(40,40,28)+
t(24,40,28)s(24,32,20)*t(32,40,12)-
s(32,8,12)s(40,48,20)c(32,32,20)*+
t(40,32,20)t(48,24,12)c(40,32,12)+*
s(16,40,20)c(40,32,20)c(32,24,20)*-
s(48,40,12)s(16,24,12)+c(32,24,12)+
c(32,32,28)c(16,48,12)-t(32,40,20)*
c(40,40,20)c(32,32,20)c(32,16,12)-*
s(24,40,12)s(16,32,12)s(16,40,12)++
s(16,16,20)c(24,24,12)+t(24,48,28)+
s(16,48,20)t(24,40,12)-s(16,40,20)*
s(32,24,28)c(24,16,12)-c(24,40,20)+
s(16,48,20)t(24,48,20)*s(8,16,12)+
s(16,24,12)s(48,32,12)t(16,40,12)++
s(48,16,20)c(40,24,20)s(24,32,12)+*
s(32,48,12)c(24,16,12)+t(32,32,20)-
s(24,24,20)t(24,40,28)+s(24,48,20)-
c(40,24,20)s(48,32,20)*t(40,32,12)-
t(24,48,20)t(32,40,28)c(32,40,20)+*
s(40,32,28)t(16,24,12)t(48,56,12)++
t(32,32,28)s(16,48,12)-s(16,40,12)+
c(32,40,20)c(24,24,20)*s(16,16,20)-
t(24,32,20)t(40,32,20)s(48,32,20)*+
s(40,40,20)s(24,32,28)c(40,40,20)**
s(40,24,20)s(16,8,12)s(32,32,20)+-
s(32,32,12)s(16,16,12)+s(40,24,20)+
c(32,40,20)c(24,40,20)*c(40,40,20)*
t(32,32,28)s(32,40,28)s(16,40,20)*+
s(16,24,20)c(40,24,20)-s(8,48,12)+
s(32,40,20)s(32,16,20)-s(24,48,20)*
s(32,16,20)s(48,24,20)+c(24,24,20)+
s(40,48,20)t(40,40,12)-c(16,40,12)+
t(48,16,12)t(32,40,28)+s(24,8,12)+
s(40,40,20)s(40,32,28)s(48,48,20)**
t(24,40,12)t(24,24,20)s(24,16,20)*+
t(40,24,20)s(16,48,20)+t(24,32,20)-
c(32,40,20)s(48,16,20)+t(40,24,12)-
c(32,32,20)s(40,16,20)*s(8,32,12)+
s(48,48,20)t(32,48,28)*s(24,24,12)+
s(40,32,28)s(16,48,12)s(16,32,12)++
c(32,24,20)s(16,24,20)*c(32,24,12)+
s(40,32,28)t(40,32,20)-s(32,32,20)-
s(48,16,20)s(40,32,20)c(24,32,20)*+
c(32,16,12)s(32,24,20)s(32,32,12)-+
s(48,16,20)s(32,16,12)-c(32,32,28)*
t(24,32,20)c(32,40,20)c(24,24,20)**
s(32,24,28)s(40,24,20)c(40,32,12)--
s(40,32,20)s(32,24,28)s(24,32,28)**
s(24,32,28)s(40,40,28)*t(40,24,20)-
t(40,48,20)c(24,32,20)t(40,32,20)--
s(16,24,20)s(32,16,12)c(48,32,12)++
t(16,56,12)s(24,24,28)+s(24,32,28)*
c(32,24,20)s(40,24,12)s(24,32,20)+*
s(24,40,20)s(32,48,20)s(48,32,20)--
s(24,24,20)s(24,40,28)*s(24,40,20)+
t(24,24,12)s(16,32,12)+c(24,40,12)+
t(16,40,12)t(32,48,28)+c(24,40,20)*
t(32,40,28)t(40,24,20)s(40,48,20)--
c(24,24,20)s(16,32,20)c(24,32,20)**
s(40,16,20)s(16,24,20)s(40,32,20)+*
t(32,24,20)t(24,32,12)+c(40,40,12)+
t(24,48,28)s(24,40,20)*t(24,56,12)-
s(8,40,12)t(32,40,12)+c(40,16,12)+
t(40,24,20)s(24,24,12)+c(32,40,20)+
s(16,48,20)c(32,32,28)c(40,32,12)-*
t(24,40,28)s(16,24,20)-s(40,32,12)-
s(32,32,28)s(16,32,20)t(24,32,20)*-
s(40,32,28)t(24,32,12)-t(32,48,28)*
s(40,32,28)c(32,32,20)t(32,48,12)--
s(40,32,20)t(16,40,12)s(40,48,20)+*
s(16,40,20)s(32,32,28)c(40,32,20)*+
s(40,24,28)c(24,32,12)s(16,40,12)++
s(16,8,12)s(24,24,20)+c(16,32,12)+
s(24,16,20)t(32,40,28)c(16,40,12)--
s(32,40,28)s(32,8,12)+s(40,24,20)*
s(16,40,20)s(24,40,20)t(24,32,12)-*
s(40,48,20)c(40,32,20)t(16,48,12)+*
s(40,24,28)c(32,32,12)-c(40,32,20)*
c(32,40,20)c(40,32,20)*t(24,32,20)-
s(24,40,20)c(24,32,20)s(32,32,20)+*
s(48,32,20)c(48,40,12)c(32,40,20)+*
s(48,40,20)t(32,40,20)t(32,32,28)*-
s(40,24,28)t(32,32,12)s(8,24,12)+-
c(40,32,20)c(16,48,12)c(40,24,20)+*
s(32,40,28)s(24,40,28)*s(16,40,20)+
c(24,40,20)c(40,32,20)t(32,32,12)--
s(40,48,20)s(40,40,20)*t(24,40,12)-
s(32,40,20)c(32,40,20)c(40,24,20)**
s(32,48,20)s(32,24,28)s(32,8,12)--
s(24,24,28)s(32,48,12)+s(32,24,28)*
s(32,32,28)t(24,16,12)t(24,48,20)+*
s(40,24,28)c(32,40,20)s(24,32,20)**
c(16,32,12)c(40,32,20)c(32,32,20)*+
s(24,16,12)s(16,32,20)t(24,32,28)*+
c(32,32,20)s(48,48,20)c(40,40,20)+*
s(48,40,20)s(24,24,28)s(16,8,12)--
c(32,32,20)t(24,32,28)*s(32,40,20)*
t(32,40,28)c(16,32,12)s(48,40,20)+*
t(32,48,28)c(32,24,12)+s(32,48,12)-
s(40,40,28)s(48,24,20)c(32,32,20)*-
s(40,48,20)c(32,32,28)s(48,40,20)**
s(24,32,28)s(48,16,20)-s(32,16,12)+
s(16,40,20)c(40,40,20)t(40,24,12)--
t(32,24,20)c(48,48,12)s(32,40,12)++
s(40,32,20)s(40,16,20)s(48,24,20)*+
s(40,40,12)t(16,32,12)+c(32,32,20)*
s(40,32,12)s(16,48,20)t(24,40,28)*+
s(24,40,12)s(24,16,20)+s(40,40,20)-
s(40,24,20)c(48,24,12)-c(32,24,20)*
s(48,16,20)s(40,16,20)*c(32,48,12)+
s(32,16,12)c(32,32,28)s(16,32,20)*+
t(32,40,28)t(40,40,20)-c(32,24,20)+
s(40,16,20)s(48,32,20)+s(24,16,20)*
t(48,24,12)c(24,32,20)t(40,16,12)++
s(24,24,28)s(24,40,28)*s(32,32,28)*
t(32,16,12)c(24,32,12)+s(40,24,28)*
s(40,16,20)s(32,40,28)+s(32,32,12)-
c(24,24,12)s(8,40,12)+s(40,40,20)-
s(32,24,28)s(32,32,20)s(40,24,12)--
c(32,40,20)s(32,24,20)-c(32,32,12)+
s(48,40,12)c(24,32,20)+c(32,32,20)*
t(24,32,28)s(8,32,12)-t(40,40,20)+
s(32,40,20)t(24,40,12)c(40,24,20)+*
s(32,32,28)c(40,24,12)-c(40,40,20)*
s(8,24,12)s(32,32,20)+t(40,32,12)-
s(24,40,20)s(48,8,12)c(24,32,20)+*
s(32,16,20)t(24,48,28)+c(24,24,20)*
s(24,32,20)c(40,32,20)*s(24,48,20)+
t(40,56,12)c(32,16,12)c(48,40,12)++
s(32,32,28)s(32,8,12)+c(24,40,20)*
s(32,24,28)s(32,16,20)t(48,24,12)+-
s(40,40,28)s(40,24,20)t(40,16,12)-*
s(40,40,28)s(32,32,12)-t(24,40,28)*
s(24,40,12)c(40,24,20)+c(40,32,12)-
t(40,24,20)t(24,16,12)+s(40,16,12)-
s(24,48,20)t(32,40,12)-c(32,40,20)*
t(32,40,28)s(32,40,28)t(40,24,20)-*
t(40,32,20)s(24,48,20)c(40,40,20)*-
t(32,40,12)s(40,16,20)s(24,40,28)-+
c(40,24,20)s(32,40,12)-c(16,40,12)+
t(32,32,28)s(32,40,28)c(48,40,12)-*
c(40,32,20)c(24,40,12)+c(24,32,20)-
c(40,24,20)c(40,32,20)c(24,24,12)-+
s(32,16,20)s(24,48,20)+s(40,24,28)-
s(40,24,28)s(32,40,28)*s(40,40,20)*
s(32,16,20)s(48,24,20)s(48,24,12)--
s(32,24,28)t(40,40,20)c(40,32,12)+-
t(32,40,20)s(24,40,28)t(32,24,12)-*
s(16,16,20)t(16,16,12)-c(24,24,12)+
s(24,40,28)c(40,40,20)s(48,24,12)--
s(24,24,12)c(32,40,12)+s(24,24,28)*
t(32,40,28)c(32,40,20)c(40,24,20)**
s(24,40,20)c(40,16,12)+s(32,32,20)*
t(48,56,12)c(24,32,20)+s(32,16,20)*
t(24,40,28)c(40,40,20)t(40,24,20)+*
s(40,16,20)s(16,32,20)+c(16,24,12)-
s(48,48,20)s(32,48,20)s(24,40,28)*+
s(32,24,20)t(24,48,28)t(32,48,28)*+
s(24,48,20)s(32,32,20)s(16,32,20)*-
s(32,40,20)c(16,40,12)s(32,40,12)+-
t(16,48,12)t(24,40,28)s(24,24,20)*+
s(40,48,20)s(24,48,20)+t(16,56,12)-
s(40,32,20)c(32,24,20)*s(40,40,28)*
s(32,40,28)c(48,24,12)c(40,48,12)+-
c(16,48,12)c(16,24,12)+s(24,24,20)-
c(16,32,12)s(24,8,12)t(16,16,12)++
s(16,8,12)s(32,32,28)+s(16,32,20)*
s(24,16,20)s(40,40,28)c(40,24,20)*-
c(40,40,20)c(32,40,20)*c(24,24,20)-
s(40,40,28)c(40,24,20)s(40,40,28)*-
t(16,24,12)t(24,32,20)s(16,24,12)-+
s(24,16,20)s(16,48,20)+t(24,48,20)*
c(32,32,20)t(24,32,28)s(40,8,12)+*
s(24,48,20)s(40,32,28)c(32,32,20)*+
s(48,32,12)s(40,48,20)+c(24,24,12)+
s(32,16,12)s(32,24,20)s(40,16,20)-+
t(24,48,28)s(24,32,20)c(40,24,12)-*
t(48,24,12)t(48,56,12)s(16,8,12)++
s(32,24,28)t(32,16,12)-s(24,24,28)*
t(16,32,12)c(24,32,12)+s(24,40,20)*
s(48,48,20)t(40,32,20)c(24,40,12)--
s(40,32,28)s(48,8,12)t(24,32,20)+*
s(48,16,12)c(48,32,12)+t(16,24,12)+
s(40,24,28)c(40,16,12)-s(32,24,28)*
t(40,24,20)s(24,24,12)+s(16,40,20)-
s(48,16,20)s(48,32,20)-t(40,40,20)+
s(40,40,20)c(32,40,20)t(32,32,28)*+
s(40,24,28)s(32,40,28)*s(24,24,28)*
s(40,32,28)s(16,24,20)t(24,24,20)*-
s(24,40,20)s(40,48,20)c(32,24,20)-+
s(16,24,20)s(8,8,12)-s(24,32,20)*
c(40,24,20)c(24,24,20)t(24,24,12)-*
c(32,32,28)t(24,40,28)t(40,40,20)-*
c(24,48,12)t(24,40,20)c(24,24,20)++
s(24,40,20)t(32,24,20)c(40,32,20)+*
s(24,32,28)s(24,24,12)-s(40,40,28)-
t(24,32,28)s(24,40,12)s(48,16,20)+-
s(16,40,20)s(8,24,12)-c(40,40,12)+
c(24,24,20)s(40,32,20)t(48,40,12)-*
s(24,40,20)s(32,40,20)c(48,32,12)-*
t(24,32,28)c(24,32,20)*c(16,16,12)-
c(32,32,20)s(40,32,28)*s(32,48,20)*
c(32,32,28)s(24,24,28)*c(24,48,12)+
t(32,32,28)c(32,48,12)-s(40,16,20)+
c(24,40,20)s(40,40,28)*s(24,32,20)*
c(32,24,20)t(16,56,12)s(32,8,12)+-
t(16,16,12)s(40,16,20)s(24,16,12)-+
s(40,24,28)c(24,24,20)-t(48,16,12)-
c(32,32,28)s(48,40,12)s(24,24,28)+*
c(48,32,12)t(40,24,12)+c(32,40,20)+
s(24,40,28)s(16,40,12)-s(40,32,28)*
c(40,40,20)t(16,40,12)+c(40,32,20)+
c(24,40,20)c(24,32,20)*s(32,32,20)*
s(32,40,28)t(16,16,12)+s(16,48,20)*
s(40,32,12)s(48,32,12)+t(24,32,12)+
s(16,48,20)c(32,40,20)t(48,56,12)+*
t(24,24,20)s(24,16,20)s(8,40,12)+*
c(24,32,20)t(24,24,20)t(32,24,20)+*
s(16,40,12)s(24,32,28)s(40,24,28)*+
c(32,40,20)s(8,16,12)+s(24,24,20)-
c(40,24,20)t(40,40,12)s(32,24,20)+*
t(32,48,20)s(32,8,12)+c(40,40,20)+
s(24,32,12)s(32,48,12)+c(24,24,12)-
t(32,32,20)s(40,24,20)+s(24,24,28)*
s(32,24,12)s(8,40,12)+c(24,24,20)*
s(40,40,28)t(24,32,12)-c(40,24,20)*
t(32,48,20)s(16,32,12)+s(24,24,12)+
s(32,24,28)t(32,32,28)s(32,40,28)**
s(24,24,28)s(16,32,20)*c(24,40,20)*
c(32,32,28)s(48,16,20)-t(24,48,28)*
s(32,40,20)c(24,32,20)c(40,48,12)-*
s(48,24,12)t(24,40,28)c(16,24,12)++
s(24,16,20)c(32,24,20)c(24,32,20)**
t(24,32,20)s(32,40,28)s(24,32,20)-+
s(24,40,28)s(32,32,28)c(24,32,20)**
s(16,16,20)c(32,32,12)s(16,16,12)++
c(40,24,20)c(24,24,20)*t(40,40,20)-
s(24,48,20)s(32,40,20)c(24,24,20)*-
t(24,48,20)s(8,16,12)+t(32,24,20)+
s(24,32,20)s(8,32,12)-s(48,16,20)+
c(24,32,20)c(32,32,28)s(32,16,20)*-
s(24,32,28)c(40,40,20)-s(32,16,20)+
s(48,16,20)c(40,40,20)c(40,24,20)*-
s(24,32,28)t(40,48,20)-t(32,32,20)*
s(32,40,20)t(32,48,12)-s(32,24,12)-
t(32,40,20)s(48,40,12)-c(32,16,12)+
t(32,32,28)c(32,32,28)t(24,48,20)-*
t(40,24,20)s(24,40,20)-s(24,8,12)+
s(40,40,28)s(32,32,20)s(40,24,28)**
s(48,48,20)c(16,48,12)t(32,56,12)++
s(24,24,20)s(32,32,28)*t(24,32,28)+
s(32,24,28)s(48,24,20)s(16,48,20)+-
t(32,40,28)s(40,40,28)*c(24,16,12)+
c(32,24,20)c(24,40,20)-t(32,32,20)-
c(32,40,20)c(16,24,12)-t(24,24,20)-
s(32,32,28)s(24,40,28)*s(8,24,12)+
s(32,24,28)s(40,24,28)s(16,40,20)-*
s(40,24,20)s(48,8,12)+s(24,24,12)-
s(48,32,20)t(24,24,12)t(48,16,12)+-
t(32,32,28)s(32,24,20)*t(32,48,20)-
s(48,32,20)s(32,24,28)c(32,16,12)-*
s(40,40,12)s(8,24,12)+s(32,32,12)-
s(40,32,20)s(24,48,20)+t(40,32,20)-
s(32,24,28)s(40,32,28)*s(24,40,12)+
s(16,40,12)c(32,24,20)+t(24,24,12)-
s(40,24,20)t(24,48,28)c(32,32,20)*-
c(32,40,20)s(24,24,28)*t(24,32,28)*
t(24,40,28)s(32,32,20)t(32,16,12)--
t(16,24,12)s(32,32,20)+s(24,40,20)*
c(24,40,20)s(24,32,28)s(40,24,28)--
s(40,32,28)s(24,32,20)t(32,48,12)+*
s(40,16,20)t(40,24,20)*s(24,24,12)+
s(32,48,12)s(24,40,12)+t(40,40,12)+
s(24,32,28)c(32,40,20)-s(24,48,20)-
t(24,32,28)s(40,32,12)-s(8,24,12)+
s(32,32,28)c(40,32,12)-s(32,8,12)+
t(40,56,12)s(24,24,28)t(24,40,28)-+
s(40,32,28)s(48,24,12)-s(24,40,28)-
s(16,32,20)t(16,48,12)c(24,24,20)+*
s(48,24,20)s(40,16,12)-t(32,48,28)-
c(40,40,20)t(24,40,12)-t(48,48,12)-
s(24,40,28)s(32,48,20)t(32,56,12)-*
t(32,48,20)t(40,24,20)c(40,40,12)-+
s(40,24,20)s(40,40,28)*s(16,40,12)+
s(40,40,20)c(40,32,20)t(16,56,12)+*
c(24,32,20)s(40,48,12)+s(16,32,20)*
s(48,48,20)s(32,48,12)-s(48,40,20)*
t(40,56,12)s(40,24,20)+s(40,16,20)+
t(32,40,20)t(32,16,12)+c(24,24,20)*
t(32,48,28)s(32,32,28)c(40,40,12)--
t(24,56,12)c(40,40,20)+s(40,24,20)-
s(40,32,28)s(24,16,12)-s(32,32,28)*
t(32,32,28)t(40,24,12)-c(16,48,12)-
s(32,32,28)t(40,16,12)c(48,40,12)+*
t(32,48,28)c(24,32,20)c(40,24,20)*-
s(40,48,20)s(40,32,28)+s(16,16,12)+
s(32,24,28)t(24,48,12)s(16,16,20)+*
s(24,16,20)t(24,32,20)t(32,32,28)*-
s(40,24,20)s(32,40,28)t(32,48,28)*-
c(40,32,12)s(24,16,20)t(48,40,12)++
s(48,40,20)s(24,24,20)s(48,32,20)+*
s(40,40,20)t(48,40,12)s(32,16,12)++
s(24,32,28)s(40,24,12)t(24,48,20)+*
s(16,24,20)s(48,24,20)c(16,24,12)+*
s(32,40,28)c(40,40,20)*t(32,48,20)*
s(24,24,28)c(40,40,12)+s(40,40,28)*
s(40,40,28)s(48,48,20)s(48,40,20)*-
s(32,40,20)s(48,16,12)+c(24,40,20)*
s(40,40,28)s(32,8,12)t(24,48,20)+-
c(32,32,12)s(32,16,20)s(48,8,12)-+
c(40,24,20)c(40,40,20)s(24,48,12)+*
s(48,32,20)t(32,32,20)+c(24,40,12)+
s(8,48,12)c(40,32,20)c(16,24,12)++
c(32,40,20)t(24,16,12)+c(40,32,20)*
s(32,32,20)s(24,16,12)s(16,40,20)+*
s(24,16,20)s(16,32,20)c(24,40,20)*-
c(32,24,20)s(40,16,20)+s(16,32,20)*
s(16,32,20)c(40,40,12)+s(48,32,12)-
s(40,48,12)s(32,24,20)c(40,40,20)-+
s(40,24,20)s(40,32,20)*t(24,32,12)-
t(24,32,28)s(16,24,20)*t(16,56,12)+
c(24,40,20)s(32,40,20)t(24,48,12)-*
c(40,40,20)s(16,40,12)t(32,32,12)++
s(16,24,20)c(32,32,12)s(48,40,12)+-
t(24,24,20)s(40,32,28)+s(32,16,20)+
c(24,40,20)s(32,48,20)c(32,40,20)**
s(24,24,20)s(32,40,28)t(32,48,20)-*
s(24,40,20)c(32,40,20)t(32,40,28)**
t(32,32,20)s(24,16,20)t(24,32,28)*-
s(24,40,28)c(16,24,12)-t(32,32,28)-
s(16,48,12)t(40,32,20)t(16,32,12)++
t(24,48,28)t(40,48,12)-s(32,32,28)*
t(16,32,12)s(24,48,12)+t(40,40,20)-
c(40,24,20)c(32,32,20)*s(16,16,20)-
s(40,24,28)t(32,32,28)*s(40,40,28)*
s(24,16,20)s(40,40,12)+s(40,48,12)+
s(24,48,20)s(24,8,12)s(32,40,20)+*
s(24,32,28)s(40,40,28)s(40,24,20)*+
s(24,32,28)c(32,24,20)t(24,40,20)-*
s(40,24,28)s(32,32,20)s(8,24,12)+*
c(40,24,20)t(32,24,20)-t(24,48,20)+
c(32,32,28)s(32,24,28)s(48,24,20)-*
s(40,32,28)c(32,24,20)t(32,32,12)--
t(40,24,20)s(24,40,20)t(32,32,28)*-
s(32,32,28)s(40,32,12)s(40,48,12)+*
t(24,32,20)t(32,48,20)t(32,40,28)*+
s(24,24,28)t(24,40,28)-s(24,40,28)-
t(32,48,28)c(32,40,12)c(16,24,12)+*
c(40,48,12)s(16,24,20)+c(24,24,20)*
c(40,24,12)c(40,40,20)+s(16,16,20)+
c(24,24,20)t(24,40,28)s(32,48,20)*-
s(24,40,28)s(32,24,20)s(32,8,12)--
s(24,40,20)t(32,40,20)*s(32,32,12)+
s(8,32,12)c(24,24,20)+c(24,40,20)*
t(32,40,28)s(40,48,12)-s(32,40,20)+
c(40,40,20)s(32,32,28)*s(24,40,12)+
t(24,24,20)c(40,24,12)t(48,56,12)++
s(24,32,28)t(32,24,12)t(16,56,12)+-
s(48,16,20)s(40,40,28)c(40,24,20)*-
s(40,24,12)c(16,40,12)+s(24,40,28)*
s(32,24,20)s(40,48,20)c(32,32,28)*-
s(32,32,20)s(24,24,28)*c(16,32,12)-
s(8,40,12)s(48,24,12)+s(32,40,28)+
c(32,40,20)t(24,40,28)*s(8,8,12)+
c(40,24,20)s(24,24,28)*s(32,16,12)-
t(24,40,28)s(32,40,28)+s(32,8,12)+
s(24,24,28)s(24,40,12)-s(32,32,28)-
s(40,32,20)s(48,16,12)-s(32,40,28)*
s(24,40,20)t(40,48,20)+s(24,48,12)-
s(32,32,28)c(24,40,20)*t(24,32,20)*
c(40,32,20)s(48,32,20)c(16,48,12)+-
c(32,40,20)t(32,48,28)s(24,32,28)--
s(40,24,28)t(24,40,28)-c(32,32,20)*
s(16,16,20)s(40,16,20)s(32,24,28)*-
s(40,32,12)s(48,16,20)+s(48,24,20)*
s(40,8,12)t(16,32,12)c(40,40,20)++
s(16,40,12)c(48,40,12)+c(40,24,20)-
c(16,32,12)s(40,32,20)c(24,24,12)-+
t(32,48,28)s(32,40,28)s(32,32,12)-*
s(40,32,28)t(16,48,12)+c(40,24,20)*
c(40,16,12)s(24,40,20)+s(40,40,28)*
c(48,32,12)c(40,32,20)c(40,24,12)-+
s(40,40,28)t(24,40,12)c(40,16,12)+-
s(48,32,20)s(8,8,12)s(40,40,28)+*
c(32,32,28)s(48,40,20)*t(16,48,12)+
s(24,24,28)c(40,40,20)s(40,16,12)+-
t(32,40,28)s(32,32,20)*s(40,32,20)*
t(16,56,12)s(32,32,28)+s(24,40,20)*
t(32,32,12)s(16,24,20)t(48,56,12)++
s(24,24,28)s(40,32,28)t(24,48,28)-*
s(32,32,28)c(32,24,12)-s(40,40,20)-
s(40,8,12)s(24,40,20)+t(32,40,20)*
c(24,16,12)t(32,32,28)+t(32,40,20)*
s(32,16,12)c(16,40,12)+c(24,40,12)-
s(32,32,28)s(48,24,20)s(40,24,20)**
s(24,24,28)s(24,32,28)c(40,32,12)-*
c(40,40,12)s(48,24,20)s(40,32,20)*+
s(24,40,20)t(24,48,28)t(24,56,12)-+
t(24,32,28)s(24,32,20)s(40,24,28)*-
s(40,40,20)s(40,8,12)s(16,48,20)+-
c(40,40,20)s(24,40,20)s(32,16,20)-+
t(40,48,20)s(24,32,28)t(24,48,28)*-
s(24,40,20)s(48,24,12)t(16,24,12)+-
c(24,24,20)s(40,48,20)-s(16,32,20)-
s(24,32,28)t(24,24,12)-s(48,24,20)-
c(24,24,20)s(40,24,28)*t(40,24,20)-
s(32,24,20)s(24,40,28)*t(32,48,20)-
s(24,32,20)c(24,32,20)s(24,40,20)**
c(32,32,20)s(48,32,12)-s(32,16,12)-
t(32,48,28)s(40,16,20)+t(40,48,20)*
s(48,24,20)c(24,40,20)+t(32,48,20)-
c(32,32,20)s(40,24,28)*t(32,40,28)*
s(40,32,20)s(32,32,20)s(48,40,12)-*
t(32,32,28)s(40,40,20)s(40,32,20)**
s(24,32,28)s(32,32,28)*s(48,32,12)+
s(40,48,20)c(24,40,12)-c(24,40,20)-
c(48,32,12)t(40,56,12)+s(16,8,12)+
c(24,40,20)s(40,40,28)*s(16,32,12)-
s(32,24,28)c(24,40,20)*s(40,24,12)-
s(32,8,12)c(32,32,20)+t(32,40,20)-
s(48,24,12)s(32,48,20)+s(48,40,20)*
c(40,32,20)c(40,40,20)t(24,40,28)+*
s(48,16,20)s(16,24,12)s(40,40,28)++
t(32,32,28)c(24,16,12)t(24,56,12)++
s(24,32,20)c(32,16,12)-t(32,32,28)+
t(32,48,28)c(24,32,20)t(24,24,20)--
s(24,40,28)t(32,40,28)c(24,16,12)+-
s(32,24,20)s(24,16,20)s(24,24,20)*-
c(24,24,20)s(16,24,12)t(40,24,20)+-
s(8,8,12)c(32,32,12)+s(48,24,20)+
s(24,48,20)s(24,16,20)c(40,40,12)+-
s(32,32,28)c(24,24,20)*c(24,40,20)*
t(32,32,20)s(32,24,20)s(16,32,12)+*
s(32,24,20)c(40,24,12)s(16,8,12)+-
s(40,24,20)s(24,16,12)s(16,32,12)+-
t(24,40,20)s(24,48,20)*s(48,16,12)+
s(16,32,20)s(32,24,28)*s(16,48,20)+
t(24,40,28)c(40,24,20)t(16,40,12)+*
s(40,32,28)c(24,24,20)*t(16,40,12)+
t(32,16,12)s(48,24,20)c(32,32,28)*+
c(32,24,20)c(32,24,12)-s(8,24,12)+
s(48,32,20)s(32,40,28)+c(24,32,20)*
s(48,48,20)c(24,32,20)s(48,32,20)+-
s(32,40,20)t(24,32,12)-c(40,32,12)-
s(24,40,12)s(48,32,20)s(40,24,28)*+
s(32,32,28)s(32,48,12)s(24,24,20)+*
t(24,32,28)t(32,40,12)-s(16,32,12)-
t(32,48,20)s(32,16,20)+s(16,24,12)+
t(32,32,28)s(40,32,20)s(16,24,20)-*
t(32,40,28)s(40,48,20)-t(24,32,12)-
t(32,48,28)s(16,32,20)t(32,32,28)*-
c(40,40,20)c(24,40,20)+s(32,32,28)-
s(16,40,20)c(32,24,20)c(24,32,20)*-
s(48,24,20)t(32,32,20)-c(48,40,12)-
s(24,24,20)s(24,32,12)-c(24,24,12)+
s(24,40,28)c(24,32,20)*t(24,40,28)*
s(32,40,20)s(48,48,12)+s(24,32,28)*
s(24,40,20)t(32,40,28)s(48,32,20)-*
s(32,24,28)s(40,24,12)-s(40,40,12)-
c(32,32,20)s(40,40,20)*t(48,40,12)-
s(24,32,20)s(40,24,20)t(40,32,20)*+
s(8,24,12)c(16,24,12)+c(40,40,20)+
s(40,40,28)s(48,40,20)c(32,40,12)-*
t(48,40,12)s(16,40,20)c(24,32,20)*+
c(24,32,20)t(40,24,20)-s(16,40,20)*
c(32,32,12)s(16,48,20)+t(32,32,20)*
c(48,24,12)c(24,24,20)+s(16,40,20)*
s(40,24,28)c(24,40,12)+t(40,32,12)-
s(32,32,28)s(16,40,20)t(24,48,28)**
s(24,32,20)s(16,40,12)s(40,32,28)+*
s(48,40,20)s(32,40,28)s(16,8,12)+*
s(16,40,20)s(40,40,20)s(48,48,20)+-
t(24,48,20)s(48,48,20)t(24,32,20)++
s(24,32,28)s(48,24,20)s(40,32,28)++
t(24,32,12)t(40,24,20)s(32,24,20)*+
s(32,40,12)t(24,16,12)+c(40,16,12)+
t(32,40,12)s(16,24,20)+t(48,40,12)+
s(24,48,20)s(8,40,12)+s(16,32,20)*
s(16,16,20)s(48,48,20)+s(40,40,20)*
s(48,24,12)s(24,32,20)s(16,48,12)-+
s(40,24,20)s(32,24,20)*s(16,48,20)+
c(24,48,12)t(24,32,20)s(8,40,12)-+
s(40,32,28)t(32,32,28)t(24,32,20)*-
s(16,32,20)s(24,24,28)*t(24,40,28)*
t(24,40,28)s(24,40,28)s(32,32,12)-*
c(16,40,12)c(40,48,12)+c(32,32,20)*
s(48,24,12)c(16,24,12)+t(24,40,20)-
s(24,40,20)t(40,48,20)t(24,40,12)++
s(24,40,12)s(40,8,12)+s(32,48,12)-
s(40,40,28)s(16,8,12)c(32,32,12)+*
t(16,32,12)s(48,32,20)+t(48,40,12)-
s(32,40,28)t(48,48,12)-c(32,48,12)-
s(48,24,20)s(16,24,20)+c(16,40,12)-
c(32,24,20)c(48,40,12)+t(24,32,12)-
s(48,8,12)c(40,32,20)+c(40,24,20)*
s(32,48,20)t(32,48,20)t(24,32,12)+*
s(40,24,28)c(32,40,20)*s(24,24,28)*
s(16,24,12)t(48,48,12)+t(48,56,12)-
s(48,32,20)t(24,32,28)-c(16,48,12)+
t(40,24,20)c(32,24,20)s(40,24,20)**
s(24,40,28)t(24,40,28)s(40,24,12)+*
c(32,32,20)c(40,16,12)-t(24,40,20)*
s(8,32,12)s(40,40,28)+t(48,32,12)-
s(40,32,28)s(48,8,12)t(40,24,20)+-
t(40,16,12)t(24,24,20)+s(32,16,20)*
c(24,32,12)c(24,48,12)+t(24,48,20)*
s(24,16,12)t(40,32,20)+t(32,32,28)*
s(40,40,20)c(48,16,12)c(40,32,20)+*
s(40,48,20)s(16,32,20)s(40,40,20)+*
s(48,24,12)s(40,40,28)t(24,48,28)*+
t(32,56,12)c(24,32,20)t(32,16,12)-+
s(40,16,12)c(48,24,12)+c(40,48,12)+
c(24,32,20)s(24,16,12)-t(32,24,20)+
s(24,24,28)s(40,24,28)t(32,32,28)+*
c(32,40,20)s(40,24,28)t(40,56,12)+-
s(32,24,28)s(40,32,28)*c(40,16,12)-
s(32,48,20)c(32,40,20)+t(32,40,28)-
t(48,48,12)s(40,32,12)+c(32,24,20)+
s(48,24,20)t(32,24,20)t(24,24,12)-+
t(32,32,20)t(24,40,20)+c(32,32,20)*
c(24,24,20)s(32,40,20)*t(32,24,20)+
t(40,40,20)c(40,24,20)+s(40,24,28)*
s(40,40,28)s(40,32,20)s(32,40,20)--
s(40,24,28)s(24,32,20)s(16,32,12)-*
s(16,32,20)s(24,40,12)t(48,40,12)+-
c(24,24,12)t(32,24,20)t(40,24,20)++
t(24,40,28)s(40,48,20)c(40,24,20)--
c(32,40,20)s(40,24,28)c(24,16,12)-*
c(40,24,12)c(32,40,20)s(16,24,20)++
c(40,48,12)s(16,40,20)c(32,40,20)*+
c(40,24,20)s(32,32,28)*c(40,16,12)-
s(32,32,28)c(40,32,12)s(40,16,12)+*
s(32,40,28)s(24,24,20)s(8,8,12)+*
s(48,16,20)c(16,32,12)s(32,16,12)++
s(40,24,28)t(32,48,20)t(40,32,20)+*
s(40,32,20)s(40,16,20)s(32,40,28)-+
t(24,40,28)s(32,32,20)t(40,40,12)-*
s(48,16,20)s(16,24,20)+t(32,32,20)-
s(8,40,12)t(32,40,20)t(40,48,12)-+
s(32,32,28)s(40,48,20)c(40,40,20)**
c(48,24,12)t(32,40,12)+c(24,24,12)+
t(16,16,12)t(32,32,28)+s(40,16,12)-
s(32,24,20)c(48,32,12)-s(32,48,12)+
t(24,56,12)c(40,24,12)+t(32,56,12)-
c(32,32,28)s(40,40,12)-t(24,48,28)*
s(32,24,28)s(40,24,28)s(24,32,20)*-
s(32,40,20)c(48,32,12)-s(40,40,20)*
c(40,24,12)t(40,40,20)+s(32,24,20)*
s(24,40,20)s(32,16,12)t(24,40,20)+*
t(32,32,20)s(8,40,12)+c(40,24,20)*
s(24,24,20)t(24,40,28)s(8,8,12)+*
c(40,40,20)t(32,24,20)-c(24,48,12)-
s(32,32,28)c(40,32,20)t(24,48,12)+*
s(32,40,28)s(24,32,20)t(16,16,12)-*
s(24,40,28)s(32,24,20)-s(8,8,12)+
s(24,16,20)s(8,24,12)+s(32,8,12)-
s(32,40,28)t(48,40,12)-s(24,48,20)*
s(32,40,28)c(40,40,20)*c(24,40,20)-
t(24,48,28)s(32,32,20)c(40,32,20)*+
t(32,48,28)s(40,40,20)s(32,32,28)**
s(24,48,20)s(48,40,20)+c(16,32,12)-
s(24,32,20)t(32,40,28)s(32,40,12)--
s(24,40,20)t(32,56,12)t(32,32,28)+*
c(32,32,28)s(16,32,20)*t(24,40,28)*
c(24,40,20)s(32,48,12)c(24,16,12)+*
s(24,24,28)s(40,24,20)-s(32,40,20)-
c(32,40,20)s(32,24,20)s(32,32,20)*-
s(24,40,12)s(24,32,20)t(32,32,20)*+
t(32,48,28)c(32,32,20)s(40,40,28)**
t(40,48,20)t(24,48,28)c(24,40,20)*+
s(24,8,12)c(32,24,20)+s(16,24,12)-
s(16,40,20)c(24,32,20)*s(32,48,20)+
s(8,40,12)t(24,40,28)t(24,48,12)-+
s(24,48,20)s(32,48,12)-c(32,24,20)+
c(32,32,28)s(24,40,28)*s(48,48,20)+
c(32,32,20)s(24,16,12)-s(24,24,20)+
c(32,32,28)s(48,24,20)*s(48,40,12)-
c(24,24,20)s(32,24,28)*t(24,32,20)-
s(32,32,12)t(40,40,20)t(32,40,28)*+
s(24,40,20)t(32,48,28)*s(24,32,28)*
s(40,40,28)c(24,32,20)s(40,32,28)++
t(32,32,28)c(40,16,12)-s(40,32,20)*
c(24,32,20)t(32,48,28)t(32,40,28)*+
c(32,32,20)s(32,16,20)*c(48,32,12)-
c(32,32,20)c(48,48,12)s(16,24,20)+*
s(24,40,28)c(32,40,20)t(40,56,12)-*
t(32,32,28)c(32,24,20)c(24,24,20)*-
s(32,40,20)t(32,32,28)c(32,24,20)**
t(40,40,12)t(24,48,28)s(32,48,20)*+
s(32,32,28)c(40,40,20)c(24,32,12)--
c(40,32,20)s(24,48,20)+s(32,24,20)*
s(16,16,20)s(24,16,20)*s(40,32,28)-
s(48,48,20)c(32,48,12)-c(48,32,12)-
s(40,40,28)s(24,40,20)-c(40,32,20)*
s(32,40,28)t(24,40,28)*s(16,40,20)*
t(24,40,28)c(32,40,12)-s(24,40,28)*
s(24,32,20)s(24,32,20)s(24,48,20)--
c(40,24,20)s(24,32,20)*t(32,48,28)+
s(24,40,20)t(32,48,28)t(32,24,20)-*
s(32,24,12)s(32,32,12)+t(24,24,20)+
t(40,16,12)t(40,56,12)s(16,16,12)++
c(24,32,12)s(8,32,12)+t(32,48,20)-
s(24,24,20)s(32,40,28)t(24,40,28)*-
t(40,24,20)t(32,48,28)s(24,32,28)*-
s(32,24,28)t(40,32,12)-c(24,32,20)*
s(24,40,28)s(16,32,12)-s(32,24,12)-
c(32,32,28)s(16,48,12)-s(24,40,20)*
s(16,48,20)c(32,32,28)*s(32,48,12)-
s(40,40,20)s(48,32,20)s(40,24,28)**
s(32,40,28)t(24,48,28)+t(24,40,28)-
s(40,40,28)s(40,48,20)-c(48,32,12)-
c(40,24,20)c(24,16,12)-t(32,40,28)+
s(16,32,20)s(48,32,20)+s(24,40,12)-
c(24,40,20)t(40,48,20)+s(16,32,12)-
s(24,32,12)t(48,48,12)+s(48,32,20)+
s(24,48,20)s(48,8,12)+s(40,48,20)-
s(40,24,28)s(24,48,20)c(32,32,20)+*
t(24,32,12)s(8,48,12)+s(8,40,12)+
s(48,40,12)s(32,32,20)s(40,16,12)++
s(40,24,28)s(24,32,28)*c(40,48,12)-
t(24,32,28)c(24,24,12)-t(32,32,28)*
c(32,40,20)t(24,40,12)-t(40,48,20)*
s(32,32,20)c(48,24,12)-t(24,40,28)*
s(16,24,20)s(16,48,20)+c(32,24,20)*
s(32,40,28)t(24,24,12)-s(32,24,28)+
s(40,32,28)s(32,48,20)t(48,48,12)+*
s(24,24,20)s(40,32,12)-s(16,24,20)*
c(40,24,12)s(24,40,20)+t(16,32,12)-
s(16,40,20)t(32,24,20)-t(16,24,12)+
t(24,32,28)s(40,40,20)c(32,32,20)*+
c(40,32,20)c(40,40,12)-s(48,24,20)*
t(32,48,28)c(32,32,20)-s(32,40,20)-
t(40,40,20)t(32,32,12)-c(16,24,12)+
s(24,24,20)s(40,32,28)s(40,32,20)--
s(16,16,20)s(16,24,20)c(24,40,12)+*
s(32,32,28)s(24,24,28)t(16,24,12)--
s(48,40,12)t(32,32,20)+t(40,56,12)+
s(48,24,12)s(24,48,12)+s(8,16,12)+
s(8,48,12)t(32,32,20)+c(32,16,12)-
c(24,32,20)c(24,16,12)s(24,32,12)+*
c(32,32,20)t(48,24,12)-s(24,40,28)*
c(48,24,12)t(32,24,12)s(40,40,12)++
c(32,32,28)t(32,24,20)-s(16,48,20)-
s(16,32,20)s(40,48,20)s(24,40,20)+*
s(32,40,28)t(24,32,20)-t(40,32,12)-
s(32,48,20)t(24,48,28)+s(24,32,28)-
s(24,32,20)s(40,24,12)-s(32,16,20)-
s(24,32,28)s(40,32,28)*t(32,40,20)-
c(24,32,20)s(40,40,28)t(32,48,28)**
t(24,40,20)t(32,24,20)t(24,16,12)--
t(24,32,28)s(24,40,20)s(24,16,20)+*
s(16,48,20)s(24,24,28)s(40,16,12)--
s(8,8,12)t(48,24,12)c(24,16,12)++
s(48,32,20)s(48,24,20)*s(32,16,20)-
c(32,32,20)s(16,40,20)*s(48,32,20)+
c(40,24,20)c(16,48,12)+s(40,40,12)-
c(32,32,20)s(48,32,12)s(16,40,20)+*
s(8,24,12)s(24,32,20)+s(40,24,12)+
c(32,32,28)s(8,16,12)s(32,48,12)+-
s(32,32,28)t(32,32,28)s(24,32,28)*-
s(40,48,20)c(24,48,12)+s(32,48,12)-
s(40,16,20)s(24,24,20)+t(24,40,28)*
s(40,24,28)t(40,32,20)c(16,32,12)+-
s(32,16,20)s(32,8,12)s(32,40,28)+*
s(16,16,20)s(32,16,20)c(48,16,12)-*
s(24,48,20)s(24,32,28)s(16,32,12)-*
s(32,40,20)s(24,40,28)s(40,40,12)-*
s(24,24,28)t(32,32,28)c(24,32,20)**
s(24,24,28)s(32,24,28)t(40,40,20)-*
s(16,16,20)s(24,24,28)t(32,48,12)+*
s(40,16,20)s(48,16,20)*t(32,40,28)-
s(48,32,20)s(32,48,20)t(40,32,20)-+
t(24,24,20)s(24,40,20)c(24,24,12)--
c(40,24,20)s(32,24,20)s(16,40,20)-*
s(24,32,20)s(40,24,28)c(24,40,20)*-
t(32,40,20)s(24,40,28)s(32,48,20)**
t(32,40,28)t(32,32,28)*s(40,40,28)*
s(48,24,12)t(32,32,20)+t(40,32,20)*
s(24,32,20)s(32,40,28)*t(40,48,20)-
s(16,40,20)t(24,40,12)-s(16,48,12)+
c(24,40,12)s(48,40,20)+s(32,40,28)*
t(32,40,28)s(32,24,12)t(24,24,12)+-
s(16,48,20)c(32,32,20)s(24,48,20)*-
s(32,16,20)s(24,32,20)t(32,48,20)--
c(40,32,20)s(24,16,20)t(40,32,12)+*
c(40,32,20)s(32,48,20)t(48,32,12)+*
s(16,24,20)s(16,32,20)*t(24,32,20)+
s(16,48,12)s(24,24,28)s(24,40,20)*+
s(24,24,28)c(40,32,12)s(16,32,12)+*
s(32,24,28)c(32,32,20)s(32,16,20)-*
s(16,24,20)s(16,32,20)*s(32,24,28)*
s(48,24,20)s(48,16,20)*t(32,24,12)-
s(40,24,20)c(32,24,12)-t(16,40,12)+
c(32,40,20)t(16,40,12)-s(48,8,12)+
s(32,48,12)s(32,24,12)+c(40,24,20)+
c(24,40,20)s(32,24,28)*t(32,48,20)-
t(32,40,28)t(24,48,28)s(32,48,20)*-
s(24,24,20)s(48,16,20)s(32,16,20)*-
s(32,16,20)t(40,16,12)t(40,56,12)+-
s(40,40,28)c(24,40,12)s(32,24,12)+*
s(16,8,12)s(48,16,12)t(24,32,28)++
s(48,24,20)c(32,32,20)t(24,48,28)--
c(32,40,20)s(24,40,28)t(32,32,20)*-
c(24,40,20)c(40,40,20)s(48,48,20)+*
s(40,40,28)t(24,40,28)s(32,40,12)--
s(48,24,20)c(24,32,20)+s(24,48,12)-
s(40,32,28)c(40,40,20)s(16,40,20)--
c(48,32,12)s(48,40,20)s(32,32,20)-+
s(48,16,12)s(40,40,20)+c(32,32,20)*
t(32,48,28)c(40,16,12)+t(32,32,28)*
s(24,32,20)s(48,24,20)t(24,40,28)+*
c(48,16,12)c(24,24,20)+s(32,40,28)-
s(24,16,12)s(32,24,12)c(40,40,20)++
s(40,40,12)c(40,40,20)s(40,32,20)-+
c(24,32,20)t(40,16,12)s(24,40,28)+*
c(40,40,20)s(32,48,20)s(40,40,12)--
s(40,32,20)s(48,32,20)*s(16,40,20)+
s(16,32,20)t(24,32,12)t(16,56,12)+-
s(32,40,20)s(24,40,20)*t(24,48,28)*
s(40,40,20)s(32,32,28)*s(48,40,12)+
t(32,40,28)c(24,32,20)t(16,16,12)-*
s(48,48,20)c(16,32,12)s(16,48,12)++
s(32,48,20)s(24,8,12)+s(24,40,28)*
s(24,16,20)s(24,40,28)-s(32,16,20)*
t(32,32,28)c(40,40,12)-s(24,40,28)*
s(24,40,28)s(16,32,12)-t(24,40,28)-
t(40,24,20)c(16,24,12)+s(24,40,20)+
s(40,24,28)c(32,24,20)t(24,32,28)**
s(24,24,12)s(48,16,12)+t(40,32,20)-
c(40,24,20)s(32,24,20)-c(40,24,12)-
c(32,40,20)s(8,24,12)s(24,32,12)+-
s(48,32,20)c(24,32,20)s(48,16,20)--
t(32,48,28)t(24,40,28)t(24,40,20)-+
s(48,32,12)s(32,32,12)+t(48,24,12)-
t(40,48,12)s(48,8,12)+s(40,32,28)+
t(32,32,20)s(40,32,28)s(32,24,20)**
s(40,24,28)c(32,24,20)c(40,16,12)-*
s(40,24,20)t(32,24,12)c(32,40,12)+-
c(32,16,12)t(40,48,12)t(16,24,12)++
t(24,32,28)t(24,32,12)-c(24,40,20)*
c(48,16,12)c(32,32,20)+s(24,32,20)+
s(24,32,28)t(48,16,12)+c(48,40,12)+
s(24,40,28)t(24,48,20)-s(32,32,20)*
c(40,48,12)t(24,48,20)c(16,24,12)++
s(32,24,28)c(32,24,20)s(40,24,20)--
c(40,16,12)s(24,40,28)+c(40,32,20)*
s(24,48,20)s(24,40,12)-t(24,32,20)-
s(24,24,28)s(32,40,28)s(48,16,20)+*
s(32,24,20)c(32,40,20)t(24,40,28)+*
t(40,24,12)t(24,32,12)+s(48,16,12)+
c(24,32,20)t(24,32,28)*c(40,40,20)*
c(32,24,12)c(40,40,12)+t(32,32,20)*
s(24,48,20)c(24,32,20)c(40,40,12)--
s(48,48,20)s(24,48,20)s(40,48,20)+*
s(40,40,28)c(40,16,12)s(24,40,20)+*
t(40,32,20)s(32,48,12)-s(32,24,20)+
s(32,24,12)s(48,40,12)t(40,56,12)++
s(24,32,28)c(24,40,20)s(48,8,12)+*
s(32,8,12)c(40,40,20)t(48,16,12)++
s(40,48,20)s(48,32,20)-t(48,48,12)-
c(40,40,20)t(40,40,12)s(16,48,12)+-
s(40,48,12)c(24,40,20)+s(16,48,20)-
s(8,16,12)c(24,40,20)+c(32,32,20)-
s(16,48,20)s(16,24,12)s(24,32,12)+-
t(48,40,12)t(32,40,20)s(24,40,20)*+
s(40,24,20)s(24,24,28)t(24,32,12)-*
t(40,48,20)t(48,32,12)+t(24,48,20)-
s(32,32,28)s(40,24,12)t(16,16,12)+-
s(16,16,12)s(24,40,28)+t(24,24,20)*
c(40,24,20)t(24,48,28)-t(32,24,20)+
s(8,24,12)s(24,24,20)+t(24,40,28)*
c(32,40,20)s(40,48,20)*c(24,24,20)-
t(40,32,12)s(40,24,20)c(24,24,20)*+
c(24,24,20)t(32,40,28)+s(16,32,20)-
s(16,32,20)t(40,32,20)c(24,40,12)-+
t(32,16,12)c(40,32,20)s(24,24,20)-+
s(40,40,28)s(48,40,20)s(32,48,20)-*
s(32,32,20)t(24,32,20)s(40,16,12)+*
t(48,56,12)t(32,40,28)t(32,32,28)*+
c(32,40,20)c(32,40,20)t(24,40,20)--
s(24,40,28)s(16,40,20)t(24,40,20)*-
s(32,24,28)s(48,16,20)+s(32,32,20)-
c(32,32,20)t(32,24,20)-s(16,40,12)-
s(40,32,20)c(24,40,12)-t(40,32,12)-
t(16,16,12)s(24,16,20)s(24,8,12)-+
c(24,32,20)c(40,32,12)+t(32,24,20)*
s(8,8,12)c(48,32,12)s(16,24,12)++
s(24,40,20)t(24,48,28)*s(32,40,20)*
s(40,24,28)s(48,32,20)t(32,40,20)-*
s(32,32,28)t(24,32,12)-t(24,40,28)*
t(40,32,20)c(24,32,12)+s(40,40,20)*
s(24,24,28)c(32,32,12)-s(24,16,20)*
c(32,32,28)c(32,32,20)-c(32,16,12)-
c(40,40,20)t(32,32,28)t(24,40,28)--
s(32,32,20)t(16,56,12)s(24,24,20)+*
t(32,32,28)c(16,48,12)-s(32,40,28)*
t(16,40,12)c(40,40,12)+s(40,40,28)*
s(32,32,20)c(24,32,20)*s(32,16,20)+
c(40,40,20)s(24,40,28)*s(48,8,12)+
t(24,40,28)s(40,16,12)+t(40,48,20)+
c(24,24,20)s(40,32,20)-c(24,32,12)-
t(40,40,20)s(24,48,20)s(24,48,12)--
t(24,48,20)s(24,32,12)-c(48,40,12)+
s(40,40,28)s(32,48,12)-t(24,24,20)-
c(40,40,20)s(48,40,20)*s(48,16,20)-
t(32,48,20)c(40,32,12)-c(32,40,20)*
t(32,40,28)s(24,32,20)s(24,24,12)-*
s(32,8,12)s(32,40,12)+c(32,32,28)*
c(32,40,20)s(40,32,28)+s(32,32,28)*
c(40,40,20)c(24,24,12)-t(32,40,20)*
s(32,16,20)s(40,24,28)+c(32,16,12)-
c(16,32,12)t(32,48,12)+t(32,56,12)-
s(24,24,20)s(24,32,20)s(40,32,28)**
t(48,48,12)s(16,16,12)+c(48,48,12)+
c(24,40,20)s(32,32,28)s(32,48,20)**
s(32,32,28)c(32,40,20)s(24,40,28)*+
s(40,40,28)s(16,48,20)c(24,32,12)--
s(40,24,28)s(32,40,28)t(48,32,12)-*
s(40,8,12)s(24,40,28)s(24,16,20)-+
c(24,24,12)t(40,32,20)t(32,32,28)*+
s(48,40,20)c(32,32,20)t(40,16,12)-*
s(40,24,28)t(32,32,28)c(24,40,20)*+
t(16,56,12)c(48,24,12)+s(24,24,28)-
c(24,40,12)c(24,32,20)t(24,40,20)-+
s(24,40,28)c(48,40,12)+s(40,24,20)*
s(16,24,20)s(24,24,20)*s(32,24,20)*
s(24,16,12)s(32,40,20)t(32,32,12)-+
s(8,32,12)c(32,32,28)s(16,16,20)*+
t(48,24,12)s(40,48,12)+t(24,48,20)+
t(40,40,20)s(48,24,20)+c(32,24,20)-
s(48,24,20)s(40,32,20)c(24,32,12)--
t(32,40,28)s(24,48,20)s(32,40,28)**
c(40,40,20)s(32,32,28)*t(40,24,20)-
s(16,24,12)s(40,48,12)+s(24,32,20)+
s(48,48,20)t(32,48,12)+t(32,32,20)-
s(32,24,28)s(24,40,28)t(24,32,12)-*
t(24,32,28)s(32,32,20)+s(48,24,20)-
c(16,40,12)s(48,16,20)+c(32,32,20)*
c(48,16,12)t(32,40,28)+t(24,32,12)-
s(40,24,28)s(32,48,20)+s(24,24,20)*
s(40,16,20)t(24,24,20)-c(32,32,28)*
t(32,32,20)c(32,32,28)s(16,48,20)-*
t(24,32,28)c(32,32,12)-s(24,40,28)+
c(40,16,12)s(40,32,20)t(24,32,28)*+
t(32,32,20)s(32,32,28)s(24,24,12)-*
s(32,48,20)s(32,24,20)-s(48,40,20)-
s(40,32,28)s(48,16,12)-t(48,56,12)+
c(48,24,12)t(48,32,12)+c(48,40,12)+
c(24,32,12)c(32,24,12)+s(24,32,20)*
t(32,56,12)c(24,40,12)+s(32,32,12)+
c(40,24,20)t(24,48,28)c(48,40,12)+-
s(24,32,28)s(24,16,20)t(24,40,28)--
c(32,40,12)c(40,24,12)+t(24,32,28)*
s(16,24,20)s(8,40,12)t(32,40,20)+-
s(24,40,28)t(24,40,28)-s(48,40,20)-
t(24,40,12)t(24,48,12)s(40,40,12)++
s(40,24,20)s(48,16,20)t(48,32,12)+*
t(24,32,12)s(8,24,12)+t(24,48,28)+
c(32,32,20)s(40,32,20)s(24,24,12)-*
c(32,40,20)c(16,16,12)t(40,56,12)+-
s(32,32,28)c(40,40,20)*c(40,24,20)*
c(24,32,20)t(24,24,12)s(40,48,20)+*
s(40,32,20)c(40,32,20)s(24,40,20)-*
c(40,24,12)s(24,32,28)t(32,32,28)-+
s(48,48,20)s(40,40,28)c(40,32,20)**
t(40,40,20)s(40,24,20)t(32,24,12)-+
s(48,32,20)s(40,24,28)s(40,40,20)**
t(24,32,28)t(32,32,28)c(40,32,20)**
t(24,32,28)s(40,32,28)*s(16,48,12)+
s(24,48,20)s(16,8,12)+c(32,32,20)*
c(32,40,20)c(32,32,20)s(40,32,28)*-
s(48,48,20)t(48,32,12)s(16,48,12)+-
t(32,48,28)t(24,32,28)t(24,48,28)--
t(24,40,20)t(40,48,20)-s(40,32,12)+
c(40,24,20)t(16,56,12)+s(24,32,20)*
s(32,40,12)s(40,32,20)s(48,40,20)*+
t(48,40,12)s(40,24,28)c(32,24,20)*+
c(40,32,20)c(32,32,20)*s(48,24,12)-
t(24,40,28)s(16,40,20)c(24,24,20)*-
s(16,16,20)t(32,24,20)c(16,16,12)-+
s(32,24,20)c(40,40,12)-s(32,32,20)*
c(24,24,20)t(24,48,20)-t(32,24,20)-
c(32,16,12)t(32,32,20)+s(48,48,20)-
c(40,40,20)s(24,40,28)*s(32,24,12)-
s(24,24,28)s(24,40,28)*s(40,40,20)+
c(32,32,20)s(40,32,28)*s(24,32,20)*
t(32,32,28)s(32,24,28)*t(32,32,12)-
s(32,24,20)c(32,24,12)t(40,24,20)+*
c(32,24,20)s(40,16,20)s(48,16,12)-*
c(16,40,12)s(8,32,12)+s(40,48,12)+
s(32,40,20)c(24,32,20)*c(40,40,20)*
s(8,8,12)s(24,32,28)+c(24,24,20)*
c(24,24,20)s(32,24,28)t(32,24,20)-*
c(32,24,20)s(48,32,20)t(48,16,12)--
s(32,40,20)s(40,32,28)*s(32,32,20)*
c(16,40,12)s(24,24,20)c(48,48,12)++
s(48,16,12)s(24,32,28)+s(32,24,28)*
s(48,24,20)s(16,16,12)s(40,16,20)+*
s(40,32,28)s(48,40,20)t(16,16,12)+*
c(40,40,20)s(32,16,20)c(40,40,12)+-
s(32,40,20)t(48,32,12)+c(40,48,12)+
s(40,32,28)c(32,32,12)-c(24,40,12)-
s(32,32,20)c(32,32,12)c(48,48,12)+*
s(24,24,28)s(40,24,20)+s(16,32,20)*
s(48,48,20)s(40,48,20)s(16,40,20)+*
s(40,16,20)s(8,8,12)+s(24,8,12)-
s(40,32,28)s(40,40,28)s(8,48,12)+*
t(32,32,28)c(24,40,20)*c(40,40,20)*
s(40,40,20)s(32,32,28)c(24,24,20)*+
t(32,48,20)t(32,40,28)t(24,32,28)+*
c(32,32,20)s(32,24,20)*s(32,16,20)*
s(24,40,28)t(24,32,28)c(16,48,12)+*
c(24,40,20)s(32,40,28)s(32,16,20)-*
s(24,24,28)t(40,24,12)-t(32,48,20)+
s(24,48,20)s(40,16,20)+t(24,40,20)-
c(32,24,20)s(16,40,20)c(32,16,12)+-
s(48,40,20)c(24,40,20)s(48,48,20)-+
t(24,48,28)s(24,24,28)-s(32,48,12)-
c(32,40,20)s(24,24,20)s(40,32,12)--
s(24,40,28)s(16,40,20)s(24,32,12)-*
c(24,40,20)s(40,40,28)t(32,32,12)-*
s(40,16,20)t(48,48,12)+s(48,16,20)*
s(24,24,28)s(48,32,20)s(48,16,12)-+
t(24,32,28)s(24,32,28)s(24,48,20)**
s(32,24,28)c(32,24,20)s(16,24,20)*-
t(32,32,28)s(32,24,28)*t(16,56,12)+
s(8,24,12)c(32,40,20)s(24,32,20)*+
s(40,24,28)c(40,16,12)-c(32,40,12)-
c(24,32,20)s(16,16,20)c(24,32,12)--
s(40,24,20)s(40,16,20)s(40,32,20)*-
s(32,24,20)c(24,32,20)c(48,48,12)+*
s(48,16,20)t(40,40,12)+s(32,40,28)-
c(40,24,20)t(32,40,28)c(40,32,12)-+
t(24,32,28)t(40,32,12)-c(24,32,12)-
t(32,48,28)s(24,8,12)+s(32,32,28)+
c(24,40,20)t(32,48,28)c(32,40,20)*-
t(32,48,20)t(32,56,12)+c(48,40,12)+
s(32,40,20)s(24,24,20)-c(48,48,12)-
t(32,48,28)s(32,32,28)t(24,32,28)*+
s(40,32,20)s(40,48,20)c(40,40,20)*-
s(24,32,28)s(32,16,20)t(24,48,12)+*
s(40,24,28)s(32,32,20)t(32,48,28)*-
c(24,40,20)c(40,24,20)c(24,32,20)*-
s(40,24,20)s(24,24,20)t(24,32,28)*+
s(16,32,20)c(24,40,12)-s(16,40,12)+
c(32,40,20)s(40,24,28)-c(48,40,12)-
s(16,40,20)t(24,32,28)s(24,40,28)**
s(40,24,20)t(24,48,28)-c(32,40,12)-
t(32,16,12)s(48,24,20)s(32,32,28)*+
s(16,24,20)c(16,40,12)-t(24,32,12)+
s(24,40,20)c(16,48,12)-s(16,32,20)+
c(32,24,12)t(24,48,28)+c(32,40,12)-
c(40,32,20)c(32,32,28)s(32,24,20)--
c(40,32,20)t(24,40,28)-s(48,24,20)*
c(24,40,20)c(24,32,20)*s(16,40,20)*
s(48,24,20)c(24,32,20)t(32,32,28)-+
s(16,32,20)c(32,24,12)-s(16,16,20)-
c(40,40,20)s(32,32,28)t(32,32,20)-*
c(16,24,12)c(32,24,20)+c(24,24,12)-
c(24,40,20)s(40,40,20)c(48,48,12)-*
s(48,24,20)t(32,48,20)s(24,48,20)*+
s(32,32,28)s(32,40,20)s(24,24,20)+*
c(40,24,20)s(24,32,20)c(24,48,12)--
t(32,32,28)c(40,40,20)s(24,40,28)*+
c(32,40,20)c(40,24,12)-s(32,40,12)-
s(32,32,28)s(32,40,20)t(32,32,20)*-
t(32,40,28)s(24,40,28)s(48,40,20)-*
c(40,24,12)s(40,40,20)+s(32,24,20)-
s(48,48,12)t(32,48,28)+c(24,40,12)-
c(32,32,28)c(32,16,12)s(16,40,20)+*
s(40,24,20)c(40,32,20)*s(24,40,20)+
s(32,32,28)s(16,24,20)-c(40,24,20)*
s(40,32,28)s(16,40,20)-t(32,32,12)-
s(16,24,20)c(40,24,12)t(24,24,20)+*
s(40,40,28)s(32,32,28)*s(40,40,20)*
t(24,48,28)s(16,24,12)c(40,40,20)+-
t(32,40,28)c(24,32,12)-s(40,32,28)*
s(32,40,28)t(40,48,12)-c(24,32,20)+
s(24,48,20)t(24,32,28)c(32,24,20)+-
t(32,16,12)s(40,16,20)c(24,24,20)-+
c(24,24,20)s(40,32,28)t(32,32,12)-*
s(24,32,12)s(24,16,20)+s(32,24,12)-
s(40,40,20)t(32,32,20)-s(24,24,20)+
t(40,40,12)c(16,40,12)+s(24,40,20)*
s(32,24,28)s(48,48,20)c(40,32,20)*+
t(32,40,28)s(16,48,20)t(40,40,12)++
s(24,32,28)c(32,24,20)t(32,40,28)--
s(32,48,20)s(32,32,28)*c(40,32,20)*
s(16,16,20)s(24,24,28)s(24,32,28)**
s(40,24,28)s(40,32,28)*t(40,32,20)-
c(32,24,20)s(32,40,20)*t(48,32,12)-
t(24,48,12)s(40,40,20)+s(32,32,28)*
t(40,40,20)c(40,32,12)+s(32,16,20)+
s(16,32,20)t(24,24,12)-c(24,48,12)-
s(32,40,28)s(32,16,12)+c(40,32,20)*
s(24,32,28)s(40,16,12)s(48,24,12)+-
t(32,32,28)s(48,32,20)t(32,48,20)-+
c(40,24,20)s(24,40,20)-s(32,32,20)-
s(32,32,20)s(40,24,28)t(24,24,12)-*
c(24,40,20)t(24,24,20)t(16,48,12)+*
t(24,40,20)s(48,24,20)+s(24,40,28)-
s(40,32,28)s(24,16,20)s(24,40,12)+*
s(48,24,20)c(24,40,20)-c(40,32,20)+
c(32,32,28)c(16,16,12)t(16,40,12)+*
s(40,32,28)c(24,24,20)*s(24,16,12)-
s(24,32,28)c(40,24,20)*c(24,32,20)*
s(40,32,20)c(32,24,20)c(32,16,12)--
t(24,40,20)c(32,32,20)c(16,48,12)-+
s(16,16,20)s(32,24,28)t(24,32,12)--
c(32,48,12)c(40,32,20)t(24,32,28)++
s(40,32,28)s(24,32,28)*t(32,24,20)*
t(24,48,28)s(40,40,20)-c(40,16,12)+
t(24,40,28)t(24,32,28)t(32,32,28)**
s(48,32,20)t(40,16,12)+s(48,40,12)-
c(32,40,20)c(24,32,12)-s(32,24,28)-
s(40,40,28)s(40,32,20)s(32,24,20)*-
t(32,40,20)s(40,40,28)c(24,32,20)**
c(32,32,28)s(24,16,12)-c(24,40,12)-
s(48,24,20)c(40,40,20)s(48,32,20)*-
s(40,40,28)s(16,16,12)+c(24,16,12)-
s(32,48,12)s(40,24,28)+c(32,32,20)*
s(32,24,28)t(32,32,28)*s(32,16,20)*
s(16,16,12)t(24,48,28)+c(32,32,28)*
t(24,48,28)s(16,32,12)-c(32,40,20)*
c(24,40,12)c(32,40,12)+s(32,48,12)+
t(32,56,12)s(24,16,20)+t(24,48,12)+
c(40,24,20)s(40,40,28)*s(40,24,20)*
t(24,40,28)t(32,48,28)*t(24,56,12)-
s(24,24,28)s(32,40,28)-t(40,16,12)-
s(24,16,12)t(32,48,20)s(8,8,12)++
c(24,32,20)c(16,32,12)t(40,48,20)+*
t(24,32,28)s(16,16,20)t(48,32,12)+-
c(32,24,20)s(48,24,12)c(24,24,20)+*
t(40,56,12)s(32,32,20)t(24,32,20)*+
t(32,40,28)t(16,40,12)s(32,24,20)+*
c(48,32,12)s(16,40,20)+t(32,40,20)+
c(40,24,12)s(24,32,20)t(32,32,20)*+
t(24,40,20)c(32,40,20)c(24,32,20)**
t(24,40,20)t(32,32,28)s(24,32,20)**
s(24,40,28)t(24,32,28)c(24,32,20)**
t(32,32,28)t(32,40,20)-c(24,16,12)-
s(32,8,12)s(24,16,12)s(24,40,20)++
s(40,8,12)s(32,48,12)+c(32,32,28)*
c(24,32,20)s(32,24,20)*c(24,40,12)-
s(8,16,12)t(32,48,28)+t(16,56,12)-
s(48,16,20)s(16,40,12)+t(32,32,28)*
s(48,32,20)s(16,24,12)c(40,32,20)+*
s(24,24,28)c(40,32,20)c(40,40,20)+*
c(32,24,20)s(24,24,28)s(16,32,20)**
s(32,24,20)c(48,16,12)s(16,40,12)+-
s(16,24,20)s(40,32,28)t(24,40,28)*+
s(8,16,12)s(32,40,20)+c(40,32,20)*
s(16,16,20)c(32,32,28)s(24,48,20)-*
s(40,16,12)c(32,48,12)+c(24,32,12)+
s(32,24,28)s(40,24,20)c(32,48,12)+-
c(40,40,20)c(24,24,12)c(48,40,12)+*
c(24,24,20)s(16,16,20)-t(32,16,12)+
s(16,32,20)c(40,24,20)-t(40,16,12)+
s(24,40,28)s(40,40,20)t(24,48,28)--
s(48,16,12)s(24,48,12)+c(16,48,12)+
s(48,24,20)t(40,48,20)+s(40,24,20)-
s(32,24,20)t(32,32,28)t(32,48,20)+*
t(32,48,28)s(16,32,20)+t(32,24,20)-
c(40,32,20)s(24,40,20)t(32,40,20)*-
s(32,24,20)c(24,24,20)*c(40,24,20)*
s(32,40,20)t(32,32,20)c(40,24,20)*+
s(40,32,28)s(48,48,12)c(40,16,12)+*
c(32,32,20)t(32,40,28)t(24,48,28)**
s(48,24,20)s(24,48,12)c(32,32,20)+-
s(16,32,20)t(24,40,20)+c(32,24,20)*
s(24,32,12)s(48,24,20)+c(24,32,20)*
s(16,40,20)s(48,8,12)+s(48,24,20)-
s(16,32,20)s(24,40,20)-c(24,48,12)+
t(32,32,20)c(40,32,20)s(40,16,12)-*
t(24,48,28)c(32,32,20)c(24,32,20)**
c(32,32,20)t(24,40,20)-s(48,48,20)-
s(48,40,20)t(24,40,28)-c(32,40,20)+
c(40,40,20)t(32,32,12)-t(40,48,20)-
s(40,24,28)s(16,16,20)-s(40,40,28)*
c(24,24,20)t(24,32,28)s(48,24,20)-+
s(24,24,28)s(8,40,12)t(24,48,28)+*
c(32,16,12)t(32,48,12)+c(32,32,20)*
s(32,32,20)s(32,32,28)s(24,40,12)-*
s(40,40,28)s(32,32,20)-c(40,32,20)*
s(40,24,20)t(48,24,12)-s(40,24,12)+
s(40,24,20)t(32,24,20)*s(40,24,12)+
c(32,32,20)s(16,40,20)*t(24,48,12)+
s(40,40,20)c(32,40,20)*t(32,40,28)*
t(16,40,12)c(32,48,12)t(40,48,20)++
c(32,32,28)s(48,40,20)s(40,24,20)+*
t(32,24,20)s(40,24,20)*s(24,40,12)+
c(32,24,12)c(40,40,20)+s(32,24,12)-
t(24,32,28)t(32,32,12)t(16,56,12)+-
s(32,32,28)s(40,40,28)*s(32,24,28)*
s(16,24,20)c(40,16,12)c(24,40,20)+-
s(24,48,20)t(16,40,12)-c(32,32,28)*
t(24,48,20)c(40,24,20)+s(24,48,12)-
c(32,24,20)t(32,40,28)t(24,40,28)*-
s(32,40,12)t(24,40,28)c(24,24,20)*+
s(40,16,12)s(24,40,20)s(24,24,12)-+
s(24,48,20)t(40,32,20)-c(32,32,28)*
c(32,16,12)s(40,32,12)+s(48,24,12)-
s(16,40,20)t(32,56,12)+s(24,32,20)*
s(24,24,20)s(32,32,28)*s(32,24,20)*
s(32,32,28)c(48,32,12)s(24,48,12)+*
s(24,32,28)s(32,32,28)s(48,32,20)*+
t(24,32,28)s(8,40,12)-t(24,40,20)-
s(24,24,28)s(24,48,20)-t(40,24,20)+
s(16,32,20)s(24,8,12)t(32,32,28)+*
c(32,40,20)c(32,24,20)s(40,24,20)*-
s(24,24,20)s(16,48,20)-c(40,40,20)-
s(40,32,20)c(24,40,20)*s(40,16,12)+
s(40,32,28)t(40,48,12)t(24,24,20)+*
t(24,40,20)t(32,48,12)c(16,40,12)++
s(48,48,12)s(16,48,12)+c(16,32,12)-
s(48,32,20)s(40,40,20)t(32,48,20)+*
c(16,24,12)t(48,48,12)+s(32,48,20)-
s(32,40,28)s(24,32,28)t(16,16,12)--
c(24,32,20)t(16,16,12)-t(24,40,28)*
c(40,32,20)c(48,24,12)c(24,32,12)+-
s(32,8,12)c(32,16,12)+c(24,24,20)+
c(40,40,20)t(32,32,28)*c(24,48,12)-
s(40,40,28)t(32,32,28)*s(40,40,20)*
s(40,32,20)t(32,48,28)s(16,40,20)+-
s(32,40,20)t(16,32,12)+t(32,48,20)*
s(40,40,28)t(24,40,28)*s(16,24,20)-
t(40,40,12)s(24,32,20)t(24,40,20)*+
s(40,24,20)c(40,40,20)s(32,24,28)**
t(40,40,20)c(48,48,12)+c(24,40,20)-
t(32,48,28)s(48,40,20)-c(32,24,12)-
c(40,40,20)t(40,56,12)-c(32,24,20)*
s(48,16,20)s(32,32,20)+c(24,40,20)*
t(24,32,20)t(48,40,12)+s(40,24,28)+
s(40,32,28)c(24,40,20)t(24,48,28)**
s(24,24,20)s(24,40,28)*s(32,32,20)*
s(8,32,12)t(32,32,28)t(40,48,20)-+
t(24,48,28)t(32,56,12)-t(32,40,20)+
c(48,24,12)s(24,24,12)+c(32,32,20)*
c(24,32,20)s(16,8,12)c(32,24,20)+*
c(40,16,12)s(16,24,20)t(32,32,28)-+
t(24,48,20)t(32,40,28)*t(24,32,28)+
c(32,40,20)c(32,32,20)*s(32,24,12)-
s(24,24,28)c(24,40,20)+c(32,24,20)-
s(16,40,20)c(24,40,20)*t(32,48,20)-
t(40,56,12)t(40,48,12)+t(16,24,12)+
t(24,32,28)s(48,40,20)c(32,32,20)*-
c(32,32,20)s(40,48,20)-c(24,32,12)-
s(40,48,12)s(40,16,12)t(48,32,12)++
s(16,16,12)c(48,16,12)+c(16,32,12)+
s(32,8,12)s(40,48,20)s(40,24,20)++
t(48,32,12)t(24,40,20)+c(16,32,12)+
c(48,32,12)t(32,40,28)t(32,32,28)*+
s(32,32,28)s(24,32,12)-c(40,24,20)-
t(32,32,28)t(40,32,20)s(40,16,12)-*
s(32,24,20)t(32,32,28)*t(24,40,20)+
t(32,32,28)s(40,32,28)c(24,48,12)-*
s(32,24,28)t(32,32,20)s(24,48,12)--
s(24,32,28)s(40,48,12)s(24,32,12)+*
s(24,40,20)c(32,24,12)-t(24,48,20)*
s(32,32,12)s(32,40,12)t(16,32,12)++
s(32,24,28)s(16,48,12)+s(32,32,28)*
t(16,24,12)s(40,48,20)+t(32,48,20)-
s(40,48,20)c(48,16,12)+s(16,8,12)+
s(40,24,20)s(24,40,20)t(24,32,20)*-
s(24,24,28)t(32,32,12)-s(32,24,20)*
c(16,48,12)t(40,32,12)+t(40,32,20)-
t(48,48,12)c(24,40,20)+c(40,48,12)-
s(8,32,12)s(48,32,12)+s(16,48,20)-
s(16,32,20)c(40,40,20)s(32,32,28)+*
t(16,48,12)s(16,24,20)+s(24,40,20)+
s(24,40,20)s(24,48,20)c(32,40,20)**
s(32,48,20)t(24,48,20)*s(32,8,12)+
c(40,40,12)t(32,48,20)+t(40,48,20)+
c(16,16,12)c(16,48,12)+t(24,24,12)-
s(40,32,28)s(24,16,12)c(40,24,20)+*
t(48,32,12)s(32,32,20)+s(32,32,12)-
c(32,40,20)s(40,40,28)c(32,32,20)**
s(16,48,20)c(24,32,20)t(40,40,12)-*
c(48,24,12)t(32,24,12)+c(24,24,12)-
s(32,40,28)c(24,32,20)c(16,32,12)-*
s(48,24,20)s(48,24,12)s(24,32,12)+-
s(32,24,28)t(32,32,20)-c(48,16,12)-
t(40,32,20)s(24,8,12)+s(48,40,12)-
s(32,40,28)s(32,32,28)*s(24,24,20)*
s(48,32,20)t(32,40,28)s(24,48,12)--
t(24,32,20)c(40,32,12)s(48,40,20)+-
s(32,48,20)c(32,40,12)-t(40,32,20)+
s(40,48,20)s(32,24,20)-t(16,24,12)+
c(40,40,12)s(16,24,20)c(16,24,12)-+
c(24,40,20)c(32,24,20)s(24,32,28)*-
s(8,40,12)t(48,16,12)+s(24,48,12)+
c(40,40,20)t(32,40,28)c(32,24,20)--
s(24,24,28)c(24,40,20)s(32,40,12)-*
c(24,24,20)c(32,32,28)s(40,24,28)**
c(32,32,20)c(32,40,20)*s(24,48,20)*
c(24,32,20)t(32,32,28)*s(40,40,20)-
s(40,24,20)s(40,32,28)s(48,40,12)-*
t(48,56,12)s(24,24,20)c(24,40,20)*+
s(16,24,20)t(16,16,12)-s(24,48,20)-
c(16,32,12)s(32,40,28)c(32,32,20)*+
s(40,40,20)s(24,40,28)*s(40,48,20)*
c(32,40,20)s(24,32,20)-t(32,48,28)*
t(32,40,28)c(16,40,12)-c(40,16,12)-
t(24,32,28)c(40,24,20)c(40,24,12)--
s(32,32,28)s(48,24,12)-s(32,16,12)-
t(24,48,12)c(24,24,20)t(32,32,20)-+
c(24,40,12)c(32,32,20)t(32,24,20)-+
s(8,32,12)s(40,48,12)+c(24,24,20)+
s(24,40,12)c(32,32,12)+t(16,48,12)-
s(32,32,28)c(48,16,12)t(40,24,20)+*
c(32,32,20)s(16,40,12)t(32,56,12)++
s(24,32,20)c(16,32,12)-s(32,32,12)+
c(24,32,20)s(32,24,28)*s(40,32,20)*
s(40,48,20)t(32,32,12)-t(32,40,28)*
c(24,48,12)c(32,40,12)c(24,24,20)++
c(32,40,20)s(24,24,12)-s(32,32,12)-
s(32,40,28)t(24,32,28)-s(32,48,12)-
t(32,32,28)t(32,40,20)s(32,48,20)+*
s(40,32,28)s(32,32,28)c(40,32,20)*-
c(32,24,20)c(40,24,20)s(48,16,12)-*
c(24,24,12)s(16,32,20)c(24,40,20)*+
s(24,40,28)c(32,32,28)*c(40,24,20)*
t(24,48,28)s(40,16,20)+c(24,32,20)+
s(40,32,28)t(24,48,20)s(8,40,12)+-
t(32,40,28)t(24,32,28)*t(32,24,12)-
c(40,32,12)s(48,40,12)+s(16,16,12)+
c(32,32,20)c(40,24,20)s(24,24,28)**
t(24,32,28)c(24,24,20)*c(40,32,20)+
t(24,48,28)c(40,24,20)s(16,32,20)+-
s(48,16,20)t(48,32,12)s(32,16,20)+-
s(40,16,12)s(24,48,20)+c(40,32,20)+
s(24,48,20)c(16,16,12)+s(32,40,20)-
s(24,32,20)s(48,40,20)s(8,48,12)+-
c(32,40,20)s(40,32,28)s(40,8,12)++
t(48,56,12)c(40,24,12)+t(48,32,12)+
s(16,16,20)t(32,48,20)s(24,24,12)+-
c(32,32,28)s(48,32,20)c(40,16,12)+*
s(8,48,12)s(40,24,20)+s(24,24,20)*
s(40,40,20)s(40,8,12)+c(32,40,20)*
t(24,40,28)c(24,16,12)-t(32,32,20)-
s(16,16,20)s(24,24,20)s(8,32,12)--
c(24,24,20)s(40,40,28)-c(32,32,28)*
s(24,40,20)c(24,32,20)+t(24,48,28)*
s(16,32,12)c(32,16,12)+s(24,32,28)*
s(16,48,20)s(32,40,28)c(32,32,12)--
s(32,40,28)s(40,32,28)t(24,40,12)-*
c(40,16,12)t(32,40,28)t(40,48,20)*+
t(40,16,12)s(16,32,20)+t(24,48,20)-
t(24,48,28)t(32,48,12)-c(24,40,20)*
t(48,16,12)s(32,8,12)+t(16,32,12)+
t(24,32,12)s(40,16,20)+s(32,24,20)*
c(24,24,12)s(48,16,20)s(40,24,28)*+
t(24,40,20)s(24,16,20)t(24,32,28)*+
s(40,24,28)t(24,32,28)s(32,32,12)-+
c(24,32,12)t(24,48,28)+s(32,48,20)*
s(48,8,12)t(48,16,12)+t(32,24,12)+
t(32,16,12)s(40,32,12)+s(48,24,12)-
t(24,32,28)c(16,24,12)+c(24,32,12)-
s(24,24,20)s(40,32,20)s(40,16,20)*+
t(32,24,20)s(32,40,12)-s(32,32,20)+
c(32,24,12)s(8,8,12)+s(8,16,12)-
s(48,16,20)s(32,16,20)*s(48,40,20)+
c(40,32,20)t(24,40,28)-t(40,24,20)*
s(40,40,28)t(32,48,28)s(40,48,20)*-
t(32,32,20)c(40,24,20)t(48,24,12)-*
s(48,16,20)s(32,24,28)*s(24,40,12)+
c(32,40,20)c(40,32,20)*s(32,24,12)+
c(40,24,12)s(32,32,20)+t(32,48,28)*
s(40,40,20)t(24,32,20)+s(24,24,12)-
s(40,32,20)s(24,32,28)s(24,24,28)**
c(32,32,28)c(24,16,12)-c(16,16,12)+
c(40,40,20)s(48,32,12)-s(32,40,28)*
t(32,32,28)s(40,32,20)*t(32,40,28)*
s(24,32,28)t(40,24,20)s(16,24,20)--
s(48,16,12)s(24,48,20)+c(32,32,20)*
s(24,48,20)s(24,40,20)t(48,16,12)+*
s(24,32,20)t(16,48,12)+s(32,40,20)*
t(48,32,12)t(24,48,28)+c(40,40,20)-
t(24,48,28)c(40,24,20)t(24,32,28)*-
s(40,40,28)s(48,40,12)-s(32,24,20)*
s(48,32,12)c(24,24,12)s(32,32,20)++
s(24,32,28)s(16,40,20)*c(48,48,12)+
c(16,48,12)s(32,32,20)t(16,40,12)-+
t(24,32,28)t(32,40,28)t(40,40,12)-*
s(32,24,12)c(40,16,12)+s(32,32,12)+
s(40,32,28)s(32,24,28)t(40,32,12)-*
t(40,40,12)c(48,16,12)+c(16,32,12)+
s(40,16,20)s(32,24,28)c(40,40,20)*-
s(32,40,28)s(24,32,20)t(24,32,12)-*
t(48,16,12)c(40,40,20)s(32,40,28)*+
c(32,32,20)t(24,40,28)*t(24,40,20)*
s(40,16,12)c(24,48,12)+t(24,48,20)+
c(40,40,20)c(40,24,12)s(16,48,20)+*
c(32,40,20)s(24,32,28)*s(16,16,20)-
s(32,32,28)c(32,40,20)*t(40,32,20)*
c(40,40,12)s(24,16,20)+c(24,24,20)*
s(24,24,28)s(8,16,12)-s(16,40,12)-
t(24,40,28)s(24,32,28)s(32,48,20)*-
t(32,40,28)t(24,40,20)*s(40,48,20)+
s(24,24,20)t(32,32,28)c(40,24,20)++
s(40,24,28)s(8,24,12)+s(40,32,28)*
s(48,32,20)s(48,24,20)*t(48,48,12)+
c(40,48,12)c(40,32,20)t(32,48,20)-+
s(32,48,20)c(32,32,12)+c(48,32,12)-
c(40,24,20)c(40,40,20)-s(24,8,12)-
c(48,24,12)c(24,24,20)+t(32,32,12)-
c(24,32,20)s(32,40,20)*t(24,48,28)*
s(32,24,28)t(24,40,28)+s(32,40,28)-
s(40,32,28)c(24,32,12)-s(16,40,20)+
s(16,32,20)s(24,16,20)c(32,24,12)+-
s(32,40,28)s(48,48,20)t(32,56,12)+*
t(16,48,12)c(40,24,12)+t(32,56,12)+
s(24,32,20)c(32,24,12)t(24,16,12)+-
s(16,16,20)t(32,40,28)+c(32,40,12)-
s(16,40,20)s(32,24,12)c(24,24,12)+-
c(24,32,20)s(16,24,20)*c(16,48,12)+
s(24,32,20)c(32,24,12)t(16,24,12)+*
s(16,40,20)s(24,48,20)*c(40,24,20)+
s(24,24,28)c(16,40,12)-s(32,40,28)+
t(32,24,20)s(40,40,12)t(16,16,12)+-
t(32,32,28)s(32,16,12)-t(40,48,20)-
s(40,32,20)s(24,32,28)s(32,40,28)**
s(48,32,12)s(24,32,28)+t(32,32,20)-
c(40,24,20)s(24,24,20)s(48,32,12)+-
s(32,32,20)c(24,32,20)*t(40,40,12)-
t(32,32,28)c(32,32,20)c(24,32,12)--
s(24,24,20)t(32,48,28)s(48,48,20)--
s(40,40,28)t(32,32,20)s(40,48,12)-*
s(48,48,20)s(40,48,20)c(40,40,12)-+
t(40,48,12)t(24,32,28)t(24,40,28)*+
s(32,40,20)s(24,32,20)-t(16,40,12)+
s(24,40,20)t(24,40,20)t(40,24,12)++
c(32,40,20)c(24,24,20)*t(24,24,12)-
s(40,48,12)s(40,24,20)t(32,32,12)-+
c(40,32,20)s(32,32,28)c(24,40,20)**
c(32,24,20)s(24,32,28)*s(24,24,20)*
s(24,24,28)c(32,48,12)+t(32,40,28)-
s(32,40,28)c(24,32,12)-t(32,48,12)-
t(16,16,12)c(32,16,12)+s(24,24,20)*
s(24,32,28)s(32,32,20)s(48,32,20)+*
c(40,32,12)s(8,16,12)+c(40,48,12)-
t(24,32,28)s(24,40,12)t(24,16,12)+-
s(16,16,20)s(32,24,28)c(16,40,12)-*
s(32,40,28)s(40,24,20)t(24,40,28)--
c(24,24,20)t(32,40,28)c(32,40,20)**
c(24,24,20)c(32,24,20)t(32,48,28)+*
s(40,32,20)t(32,32,20)c(32,16,12)--
c(40,40,20)c(32,32,28)s(24,48,20)*+
c(32,32,28)c(40,32,20)s(32,40,28)+-
s(32,24,20)t(40,56,12)+s(16,24,20)-
c(48,24,12)s(32,48,20)s(40,40,20)-+
s(32,32,28)c(24,40,20)t(32,40,28)**
s(24,24,12)s(48,40,20)+s(32,24,20)*
s(40,32,28)s(40,16,20)*s(48,40,12)+
s(24,24,28)s(16,32,20)s(32,24,28)*-
c(24,24,12)t(32,32,12)t(48,48,12)++
s(32,40,28)t(24,48,20)s(24,24,28)--
c(32,32,28)s(32,24,20)-t(32,48,28)*
c(40,32,20)s(16,24,12)+s(24,24,20)*
c(32,24,20)c(24,24,20)*s(16,32,20)*
t(32,16,12)t(32,32,12)+t(24,40,12)+
c(24,32,12)t(32,32,20)c(32,48,12)-+
s(40,40,28)t(32,24,12)s(16,48,20)+*
t(40,48,20)s(24,40,28)c(24,32,20)*+
s(16,40,20)s(32,24,20)+s(16,32,20)*
s(48,40,12)s(24,24,20)+s(40,48,20)-
s(32,32,28)s(48,24,20)t(48,48,12)+*
s(48,48,12)s(24,16,20)+s(32,32,12)-
s(40,40,28)s(32,32,28)*s(24,48,12)-
c(32,40,20)s(16,32,12)t(32,40,20)+*
t(24,48,20)s(32,16,12)+s(32,32,20)-
s(32,32,28)c(40,40,12)c(16,16,12)+*
c(40,24,20)c(24,24,20)t(24,48,12)+*
c(32,32,28)s(32,16,12)-t(40,24,20)-
c(32,40,20)c(40,32,20)*t(24,32,28)*
s(32,32,28)s(48,32,20)+c(40,32,20)-
s(32,40,28)t(32,48,28)c(24,48,12)--
s(32,24,20)s(40,16,20)*t(32,48,12)+
s(16,32,20)c(24,24,20)t(40,48,12)+*
s(48,32,20)t(16,48,12)+s(40,48,20)-
s(16,40,20)s(32,24,28)+s(32,16,20)-
t(24,48,28)c(40,32,12)+s(32,32,20)*
s(40,24,12)c(32,32,20)c(24,40,20)*+
s(40,24,28)t(24,32,28)s(32,24,28)**
c(40,24,20)t(32,32,28)s(40,32,28)*-
c(24,32,20)s(32,16,12)-c(16,48,12)-
c(40,24,20)c(32,32,12)c(32,16,12)+*
s(16,24,20)s(16,16,20)+s(24,32,12)-
s(32,40,20)t(32,24,20)t(24,32,12)-+
c(24,40,20)s(24,16,20)-c(32,32,20)-
t(24,24,12)s(16,32,20)s(32,24,20)-+
c(40,16,12)s(40,40,20)+s(48,40,20)*
c(24,32,20)s(16,24,20)s(24,16,20)*-
c(24,32,20)s(16,16,12)s(32,48,20)+-
c(40,24,20)t(40,32,20)s(48,16,20)+*
s(16,32,12)s(40,8,12)s(24,40,12)++
c(40,40,12)c(24,32,20)t(32,48,28)*+
t(24,40,28)s(16,16,20)+c(24,16,12)-
s(48,40,20)s(32,48,12)+c(32,40,12)-
s(48,16,20)s(32,24,28)t(32,48,28)+*
c(48,32,12)s(24,32,20)+c(24,48,12)-
s(40,24,12)s(40,40,28)t(24,40,28)*+
t(16,48,12)c(32,24,20)s(24,32,28)*+
c(32,32,20)s(40,8,12)c(24,24,12)+-
c(40,40,20)t(24,32,28)-t(24,16,12)+
t(32,48,28)s(24,40,28)s(16,40,20)-*
c(40,24,20)c(40,40,20)t(32,40,12)-*
s(24,24,28)t(32,48,28)c(24,32,20)*-
c(32,32,28)s(16,16,20)c(40,48,12)++
s(40,16,20)t(24,40,28)-s(48,24,12)-
s(48,32,20)c(40,40,20)*s(40,48,12)-
s(24,40,28)s(40,32,28)*s(24,16,20)+
t(40,48,20)t(32,40,28)t(24,32,12)-*
t(24,32,28)s(16,32,20)*t(32,32,20)-
s(24,24,20)s(40,40,28)c(32,24,12)-+
s(24,40,28)s(24,24,28)s(48,16,20)+*
t(32,48,28)s(40,40,28)c(24,40,20)-+
t(32,48,20)c(40,32,12)+t(40,32,20)*
s(32,48,20)c(24,40,12)-s(40,32,12)-
s(16,48,20)t(24,56,12)c(40,48,12)+-
c(24,40,20)c(24,24,20)*t(32,40,12)-
t(32,32,28)s(48,16,12)c(24,24,20)+*
c(24,16,12)s(24,24,20)t(24,32,20)*+
s(40,32,20)t(24,40,12)c(48,48,12)+-
s(24,40,28)s(16,8,12)c(40,24,20)+*
s(32,32,28)s(16,16,20)s(40,24,20)--
c(40,24,20)s(48,40,20)-c(16,40,12)+
s(24,24,28)s(8,32,12)-s(40,40,28)-
s(32,16,12)t(24,48,20)+t(40,48,12)+
s(32,40,12)s(24,16,20)+c(32,40,20)*
s(24,40,20)t(32,32,28)s(32,16,20)-*
c(40,24,20)s(24,32,20)*t(24,48,20)+
t(32,32,28)s(40,40,20)s(24,8,12)+*
s(16,48,20)c(32,32,20)t(24,40,28)*-
c(40,40,20)s(48,16,20)-s(24,48,20)*
c(48,16,12)s(40,40,20)t(24,32,28)-+
s(16,40,20)t(24,32,28)s(24,24,28)**
t(24,40,28)s(24,32,20)s(16,8,12)+*
t(24,32,20)t(32,16,12)+c(32,40,20)*
s(16,16,20)t(40,40,20)+c(32,16,12)+
s(32,32,20)s(16,24,12)-s(24,32,28)*
s(40,32,28)t(32,24,20)-s(40,40,20)-
c(24,24,20)s(48,48,12)+s(40,8,12)+
s(32,24,20)t(24,48,28)-c(40,40,20)-
s(48,32,20)s(24,32,12)s(40,32,12)+-
s(16,40,20)c(40,40,12)+s(24,32,12)-
s(48,32,20)c(40,32,12)t(40,16,12)+*
s(32,40,28)s(32,32,20)t(24,48,28)--
s(32,48,20)s(40,32,28)t(32,40,28)**
s(24,40,28)s(16,40,20)-c(32,32,28)*
t(32,40,28)s(40,40,12)-s(24,40,28)*
s(16,24,20)s(40,40,28)-c(16,40,12)-
s(16,24,20)s(32,24,28)c(24,32,20)*-
s(40,32,20)c(32,32,20)*s(16,32,12)+
s(40,40,28)s(32,32,20)s(40,24,20)**
c(24,32,20)s(32,16,20)-s(32,32,28)*
s(48,16,20)t(32,32,28)t(40,40,20)++
s(24,48,12)s(32,32,20)+c(40,40,20)*
s(32,40,28)c(32,32,20)*c(48,48,12)-
s(40,40,20)s(32,32,28)*s(32,32,20)*
t(24,32,12)s(16,16,20)+s(24,32,28)*
c(24,24,20)s(16,48,20)-s(40,32,28)*
c(32,24,20)s(32,48,12)t(40,32,12)+-
c(40,40,20)s(16,24,20)+c(16,24,12)-
c(32,32,20)s(16,24,20)+t(32,48,28)*
c(24,48,12)s(32,24,28)s(48,8,12)-+
s(24,40,28)c(32,24,20)s(16,24,20)--
s(8,32,12)t(32,24,20)s(40,40,12)++
s(48,48,20)c(24,48,12)t(32,48,20)++
s(40,40,28)s(40,24,12)t(40,32,20)+-
s(32,40,28)c(40,40,20)*c(40,24,20)*
s(16,16,20)c(24,24,20)t(32,32,12)-*
s(24,8,12)s(40,32,28)+t(32,48,28)*
s(48,40,12)s(32,32,20)+s(24,40,12)-
s(24,40,28)c(48,16,12)+s(24,32,28)*
t(24,48,28)c(32,40,20)s(16,40,12)-*
c(24,16,12)s(48,16,12)+s(16,24,20)-
s(24,16,20)s(32,40,20)s(24,48,12)--
t(40,24,20)c(48,24,12)+s(40,24,20)*
t(40,40,20)t(24,32,20)-t(40,16,12)+
s(24,40,28)c(24,40,20)s(40,40,20)*-
c(24,24,12)s(40,40,20)t(32,40,12)-+
s(40,24,28)c(48,32,12)-s(16,32,20)-
s(40,40,28)t(32,40,20)t(24,32,28)*-
c(40,32,20)s(40,32,28)s(40,24,28)**
s(48,48,20)s(16,24,20)c(48,48,12)+-
s(48,40,20)c(24,40,12)+c(32,40,20)*
t(48,16,12)c(24,40,20)s(32,32,28)*+
c(40,24,12)s(32,32,12)+t(32,16,12)-
t(32,48,20)c(32,40,20)t(24,48,28)*+
c(32,40,20)s(24,24,12)-t(32,40,28)*
c(32,48,12)t(32,24,20)+t(32,16,12)-
s(40,40,28)s(16,24,12)t(24,40,20)+*
s(16,48,20)c(48,40,12)s(32,40,20)+-
c(24,24,20)c(24,40,20)-s(24,16,20)*
s(32,32,20)c(32,24,20)*c(40,24,20)*
s(8,40,12)s(40,24,12)t(24,32,20)++
s(32,48,20)t(40,40,20)s(40,16,20)-+
c(24,40,20)c(16,24,12)+c(32,40,20)+
s(24,24,28)c(32,40,12)s(24,24,12)+*
s(24,40,20)s(16,32,20)t(24,40,28)**
c(32,40,20)s(32,24,20)*t(32,48,28)+
t(40,40,20)s(48,24,20)t(40,24,20)*-
c(24,48,12)s(24,24,20)+s(24,24,20)-
s(40,40,12)s(24,48,20)+c(40,40,20)*
c(24,32,20)s(8,40,12)s(16,24,20)+*
s(32,32,20)s(24,40,28)*c(24,48,12)+
s(32,24,28)c(32,40,20)*t(24,32,20)*
s(24,40,28)s(32,48,20)-c(24,32,20)*
s(40,24,28)s(24,32,28)-c(32,32,28)*
c(40,48,12)s(48,24,12)+s(32,24,20)-
t(24,48,20)t(24,32,28)+s(8,32,12)-
s(40,40,20)c(40,32,20)s(32,48,20)*-
s(40,32,20)s(24,32,28)+t(40,24,20)*
s(48,40,20)s(24,8,12)+c(32,32,20)+
s(32,40,20)c(48,48,12)+c(24,24,20)*
c(32,24,12)s(16,48,12)+t(40,16,12)-
s(24,8,12)c(48,32,12)+s(40,40,28)*
s(40,16,12)s(24,16,20)s(32,32,28)*+
s(24,40,20)s(40,48,12)-s(32,40,12)+
s(40,40,12)s(40,16,20)+t(40,24,20)*
c(40,40,20)c(24,40,20)*t(24,32,28)*
c(24,16,12)t(32,48,20)+c(40,32,20)*
s(40,32,20)s(40,32,12)-t(32,32,12)-
s(48,32,12)c(32,24,12)t(32,16,12)++
c(24,40,20)t(40,32,20)-c(40,32,20)+
c(32,32,20)c(24,16,12)-c(40,40,20)*
c(32,24,20)s(32,40,28)s(24,32,28)**
t(24,32,28)s(24,48,20)s(24,24,20)--
s(40,24,20)c(40,16,12)c(24,32,20)+*
s(24,48,20)c(24,32,20)c(16,16,12)+*
t(24,48,28)t(24,40,28)s(24,48,20)**
t(40,32,12)c(24,40,20)s(40,32,28)-+
t(24,32,20)s(32,16,20)t(40,32,20)++
s(32,24,28)t(24,24,12)-t(40,56,12)+
s(48,16,20)c(24,40,20)+t(40,24,12)-
c(16,16,12)t(32,48,28)+s(16,48,12)-
c(32,32,20)c(24,24,20)t(24,32,12)-*
s(24,40,20)t(24,16,12)+s(32,24,28)*
s(32,40,20)s(16,24,20)+c(40,16,12)+
s(16,32,12)t(40,48,20)+t(24,32,20)-
c(16,32,12)s(40,24,12)+t(32,40,20)+
s(8,32,12)c(40,24,20)+c(32,32,20)-
c(24,16,12)c(16,48,12)t(48,32,12)++
c(40,24,20)s(32,32,20)t(24,16,12)--
c(32,40,20)t(32,32,28)*s(32,24,20)*
s(40,24,20)c(40,32,20)s(8,16,12)++
s(32,24,28)c(16,16,12)t(32,48,20)+*
c(40,32,20)s(32,32,20)-s(40,40,28)*
s(16,8,12)c(48,40,12)t(24,48,12)++
t(32,40,28)t(32,32,20)s(40,40,28)*-
t(32,32,28)s(40,40,20)s(16,40,12)+*
s(40,24,20)t(24,32,12)+s(16,40,20)-
s(24,24,28)t(24,32,28)*c(40,16,12)+
s(40,24,20)c(40,16,12)s(32,16,12)+*
s(16,48,20)s(40,32,20)s(32,48,12)++
s(24,48,20)c(40,40,20)+c(40,24,20)*
s(48,32,20)s(32,40,20)s(16,48,20)--
s(32,24,20)s(32,32,20)c(24,40,20)*-
s(24,32,28)c(40,32,20)s(16,16,20)++
t(32,48,28)c(24,24,20)+s(16,32,20)-
s(32,32,28)s(40,40,28)*t(16,56,12)+
s(48,16,12)s(40,48,20)+s(16,48,20)-
c(40,32,20)c(32,32,28)s(40,16,20)**
c(48,16,12)s(32,40,28)s(32,24,28)*+
s(24,48,20)t(24,40,20)-c(40,32,12)+
s(16,16,20)c(24,40,20)+s(24,48,12)-
s(40,24,20)c(24,48,12)+t(32,32,12)-
s(40,24,28)s(24,16,20)c(32,24,20)**
s(40,48,20)c(48,24,12)+s(24,48,20)*
c(40,24,20)s(24,24,20)s(24,48,12)+*
s(40,32,20)c(32,24,12)t(40,48,12)+-
s(48,48,12)c(32,32,20)s(48,40,20)*+
c(24,32,12)t(40,24,20)+s(40,32,20)*
t(32,48,28)s(40,40,20)*s(24,16,20)-
s(16,48,20)t(32,40,20)s(24,40,20)+*
t(24,48,28)c(24,24,12)s(8,48,12)+-
t(48,48,12)t(32,24,20)t(32,40,20)-+
s(48,40,20)s(48,48,20)t(32,40,20)++
s(48,40,20)s(40,24,28)+s(32,16,20)*
c(40,32,20)s(24,40,28)-t(16,32,12)+
s(40,24,20)s(48,32,12)-s(40,16,20)*
s(40,24,28)t(24,24,20)+s(8,8,12)+
s(16,40,20)c(24,32,20)t(16,32,12)-*
s(24,32,28)s(40,16,20)c(40,40,12)+*
c(32,24,20)s(32,16,20)s(24,32,12)-*
t(40,56,12)s(24,24,28)+s(32,40,28)*
s(24,24,20)t(32,32,20)+t(48,32,12)+
t(24,48,28)s(40,32,12)t(48,16,12)++
c(48,48,12)c(48,40,12)+s(40,40,12)-
s(48,24,20)s(24,16,20)s(48,40,12)++
s(24,16,20)s(40,24,28)c(40,32,20)*-
t(40,56,12)t(24,40,28)c(32,40,20)*+
s(48,16,12)t(24,32,28)+t(32,32,20)-
t(32,40,28)s(16,48,20)t(24,48,12)--
s(40,32,28)s(40,24,20)s(32,16,20)**
t(16,56,12)s(32,16,20)+s(48,16,20)*
s(48,16,20)s(24,40,28)+s(40,48,20)-
t(48,24,12)c(24,16,12)+s(40,48,12)+
s(32,32,20)c(32,24,12)t(48,56,12)++
s(32,40,28)s(40,48,20)-t(32,40,28)*
s(16,16,20)c(24,24,20)c(40,40,20)+*
t(16,16,12)s(32,40,20)c(24,24,20)*+
s(48,32,12)s(16,24,20)+t(24,40,28)+
s(32,40,28)t(40,48,20)s(48,16,20)+*
s(40,32,28)s(40,48,20)-s(32,40,12)+
s(32,24,20)c(40,32,12)-c(24,40,12)+
t(32,40,12)s(48,40,20)c(40,24,20)*+
s(40,40,20)c(32,16,12)c(40,24,12)+-
s(40,24,28)t(32,32,28)-c(32,32,28)*
t(24,40,28)t(32,32,28)*c(32,16,12)-
c(32,40,20)s(32,32,28)+t(40,24,20)*
s(32,24,20)s(40,24,20)*s(32,40,28)*
c(24,32,20)s(32,32,20)s(48,48,20)+*
c(48,16,12)s(16,32,20)+c(32,32,12)+
s(40,32,20)s(24,24,28)s(40,40,28)*-
s(48,16,20)s(48,40,20)c(32,40,12)--
c(32,32,12)c(40,40,20)s(48,24,20)*+
c(24,32,20)s(24,40,20)c(32,40,20)*-
s(24,16,20)c(40,32,20)t(24,40,28)*-
t(24,48,20)c(24,40,20)t(32,48,28)**
t(24,40,28)t(32,32,20)+t(16,56,12)+
c(32,32,20)t(24,48,20)s(40,32,20)++
c(24,40,20)s(32,24,28)*t(32,40,28)*
s(48,48,12)t(40,40,20)+c(40,32,12)+
t(48,16,12)t(40,32,20)+s(32,32,20)*
c(32,32,28)s(40,24,28)-c(24,40,20)*
s(32,24,20)c(24,24,20)s(32,16,20)**
s(24,32,20)c(16,48,12)-t(16,32,12)-
c(32,48,12)s(16,16,20)+c(16,32,12)-
c(40,32,20)c(32,40,20)*s(32,24,20)*
c(40,40,20)s(48,8,12)s(24,24,28)+-
t(24,40,12)c(40,48,12)t(40,40,12)++
t(24,32,20)s(32,24,20)c(32,40,20)--
s(32,24,20)c(24,32,20)c(32,48,12)-*
s(24,8,12)s(24,32,20)s(32,16,20)-+
s(16,16,20)t(40,24,12)+c(40,24,20)*
c(24,24,12)s(32,32,20)s(40,24,20)-+
s(40,40,28)t(32,32,12)-s(32,32,28)*
c(32,32,20)s(32,40,20)+s(32,16,20)*
c(40,24,20)s(48,16,20)*t(32,48,12)+
c(32,40,20)t(24,40,28)*s(32,32,12)-
c(40,24,20)s(48,8,12)-c(24,32,12)+
t(24,40,28)c(40,40,20)*s(8,40,12)+
s(32,40,28)t(40,40,12)-c(32,32,20)*
c(40,40,12)s(48,24,20)s(32,24,28)*+
c(48,24,12)s(32,40,28)s(24,24,20)*+
s(24,24,20)s(48,24,20)-s(32,40,20)-
c(16,24,12)t(32,48,28)s(32,32,28)*+
c(24,24,20)s(24,32,20)c(48,40,12)+*
s(40,16,20)s(40,32,28)c(32,32,20)*+
s(48,32,20)c(32,32,28)*c(32,48,12)+
c(16,16,12)c(16,24,12)+s(8,48,12)+
s(24,32,20)c(24,16,12)+c(40,32,12)+
t(24,32,20)t(40,16,12)+s(32,40,20)-
s(32,48,20)c(32,40,20)c(24,24,20)*-
s(48,16,20)c(48,24,12)-t(32,16,12)+
s(16,16,20)c(40,48,12)+s(48,48,20)-
s(24,48,20)c(40,32,20)c(40,24,20)*-
s(24,40,28)s(8,40,12)-c(24,32,20)*
s(24,32,28)s(48,40,20)+s(48,32,20)*
s(16,40,20)t(24,32,12)-s(24,40,20)*
c(32,32,28)t(32,24,20)-t(24,48,20)*
t(40,24,20)s(40,16,20)*t(16,16,12)+
c(40,40,20)s(48,24,20)c(24,32,12)+*
c(32,16,12)c(40,32,20)+c(40,16,12)-
t(32,40,12)t(24,24,20)+s(32,32,12)-
t(32,32,28)t(32,40,28)c(24,32,20)*-
s(16,32,20)t(16,32,12)-s(24,32,28)*
s(40,32,28)s(32,32,20)c(48,40,12)-*
c(32,32,28)s(16,8,12)t(24,48,12)+-
s(32,32,28)t(16,16,12)c(32,48,12)+*
s(40,24,20)s(8,8,12)+t(40,32,20)*
t(16,56,12)s(48,48,20)+s(40,40,20)*
s(48,24,20)s(40,24,28)t(40,16,12)-+
c(32,32,28)s(24,48,20)*s(16,48,20)+
t(24,32,28)t(32,48,28)s(24,48,20)+-
s(24,24,28)s(40,24,12)c(16,32,12)+*
s(48,24,20)s(40,48,12)c(48,40,12)+-
c(40,32,20)s(40,40,20)c(48,40,12)-*
t(32,24,12)s(16,40,20)t(16,24,12)++
c(40,32,20)s(32,40,20)s(24,32,28)**
s(16,48,20)s(8,32,12)-t(24,48,12)-
s(32,32,28)s(8,40,12)+s(24,32,28)*
c(40,32,20)s(8,32,12)t(24,32,28)+*
t(24,24,20)s(32,24,20)+s(40,32,20)*
c(24,32,12)t(40,32,20)+t(32,40,28)*
c(32,24,20)s(48,40,20)+s(32,24,20)-
s(24,24,28)c(32,32,28)s(24,16,12)-*
s(24,32,20)s(32,48,12)+t(24,40,20)*
t(24,40,20)s(8,48,12)-s(40,8,12)+
c(32,32,28)t(24,32,20)-s(24,48,20)*
s(40,40,28)s(24,32,28)*s(16,8,12)+
t(48,40,12)c(24,24,12)+t(16,32,12)-
s(16,24,20)t(24,56,12)+c(24,16,12)+
c(32,40,20)t(24,40,28)t(24,48,28)**
s(40,32,20)s(32,16,20)t(32,32,28)*-
t(32,48,28)s(16,24,20)+c(40,24,20)*
s(40,16,20)s(16,48,12)+s(24,40,28)*
t(16,32,12)t(16,56,12)c(24,24,12)++
s(24,32,28)s(32,32,28)c(16,16,12)+*
t(32,32,28)t(40,32,20)-s(32,16,12)-
s(40,24,20)s(40,32,28)c(32,24,20)**
s(40,32,28)c(24,16,12)s(32,48,20)+*
t(40,48,20)s(40,32,28)c(32,40,20)*+
s(40,24,20)t(24,48,12)c(24,32,12)+-
c(32,32,12)s(32,16,20)s(40,40,20)-+
s(24,32,20)s(16,32,20)*c(40,48,12)+
s(32,32,28)s(24,24,20)*t(48,32,12)+
t(24,32,28)t(24,40,28)c(48,32,12)+*
s(32,40,28)t(24,32,28)*t(32,24,20)+
s(40,32,28)t(32,40,12)t(24,40,20)+-
t(32,48,28)s(16,48,12)-t(32,40,12)-
s(16,32,20)s(16,40,12)c(40,24,20)+*
s(32,32,28)s(16,24,20)-s(40,24,28)*
s(24,16,12)s(40,40,28)+s(40,24,12)-
s(24,32,12)s(16,40,20)s(16,24,20)*+
s(32,32,28)s(40,40,12)-s(24,48,20)+
s(32,8,12)s(24,48,20)+s(24,24,28)-
s(40,24,28)c(16,16,12)c(32,40,12)+*
t(16,16,12)t(32,24,20)+s(24,40,20)-
t(24,24,20)c(48,24,12)+t(24,48,28)+
c(32,32,28)t(24,40,28)s(40,32,28)--
s(24,24,20)s(32,24,20)c(16,24,12)-*
t(24,40,28)c(32,32,20)*t(40,32,20)+
s(40,40,20)t(40,40,12)-t(40,24,12)-
s(24,24,20)s(40,32,12)+s(16,32,20)*
t(24,24,12)t(16,32,12)s(48,40,20)++
s(16,48,20)s(32,48,20)t(16,16,12)+-
t(24,48,12)c(48,16,12)+c(16,48,12)-
s(40,40,28)s(24,32,28)c(40,24,20)**
c(24,32,20)s(16,40,20)+s(48,24,12)+
s(32,16,20)c(40,24,12)-c(24,40,20)+
c(40,24,20)t(24,32,20)-c(40,32,20)+
c(40,32,20)c(40,40,20)s(24,32,28)-+
t(24,48,20)c(32,32,20)s(24,24,28)*-
t(32,24,20)t(32,32,28)c(16,24,12)-*
s(32,32,28)s(24,32,28)s(16,40,20)-*
t(32,32,20)c(24,32,20)s(32,48,12)-+
s(24,16,20)t(24,32,28)s(32,48,20)-*
s(24,32,20)c(24,16,12)+s(40,32,20)*
s(40,48,20)s(24,24,28)-t(24,24,20)+
s(24,32,20)c(32,24,20)c(16,16,12)-*
s(16,24,12)s(32,48,20)s(16,40,20)++
c(40,32,20)s(32,32,20)t(32,48,28)+*
s(40,40,20)c(48,48,12)s(32,24,20)+*
t(16,56,12)c(40,40,20)+s(32,48,20)*
s(32,48,20)t(40,32,20)+c(40,24,20)*
s(48,24,20)c(40,24,20)s(32,40,20)-*
s(40,32,28)t(24,32,20)s(32,48,20)+-
s(48,32,20)s(32,48,12)c(40,32,12)+-
c(40,40,12)t(32,32,20)c(24,16,12)-+
c(32,32,28)c(24,32,20)-s(40,24,20)-
s(32,16,20)s(24,24,28)c(32,32,20)**
s(16,16,20)t(24,40,28)s(24,32,28)*-
s(8,48,12)s(8,16,12)+s(16,8,12)+
s(8,32,12)s(24,32,20)s(24,40,20)*+
s(40,40,28)c(24,48,12)-t(40,56,12)-
s(24,32,28)c(32,40,20)s(32,48,20)*+
s(24,40,28)t(24,24,20)c(40,40,20)+-
t(32,40,28)s(40,24,12)c(40,16,12)+-
s(24,24,28)s(16,24,20)-s(16,16,20)-
s(24,32,28)s(40,24,28)s(40,48,20)+*
s(32,48,12)c(48,48,12)+s(16,48,20)+
c(24,32,20)t(40,56,12)+c(16,48,12)-
s(24,32,20)s(24,24,12)-s(32,16,20)-
s(32,32,20)t(24,40,12)-c(32,24,12)+
s(8,8,12)c(32,32,20)s(32,48,20)++
s(24,48,20)s(32,40,12)s(32,24,20)+-
s(24,24,28)t(32,40,20)s(32,48,20)*+
s(40,24,20)s(32,40,12)+s(32,16,20)-
t(32,48,12)c(16,48,12)+s(40,40,12)-
c(32,24,20)s(16,16,12)-t(40,32,20)*
t(40,48,12)c(40,40,12)+t(32,40,28)*
c(32,32,28)t(32,32,28)-s(24,32,28)*
s(40,32,28)s(24,24,20)s(32,32,20)**
c(16,32,12)c(32,32,12)+s(48,16,20)-
c(32,32,20)s(8,8,12)+s(16,24,20)*
s(24,24,12)s(16,32,12)+t(32,16,12)-
t(32,32,28)s(24,8,12)s(16,32,20)+*
c(40,24,20)s(48,40,12)-c(40,40,20)*
c(40,32,12)c(40,40,20)s(48,40,20)-+
s(32,32,20)s(40,24,28)s(24,40,28)-+
s(32,40,20)t(24,48,20)+c(24,32,20)*
s(24,16,12)s(32,40,28)+t(32,32,28)*
s(24,32,28)s(8,48,12)-s(32,40,28)*
s(32,16,20)s(40,24,20)-c(48,32,12)+
s(32,8,12)s(24,16,20)s(24,32,20)*+
t(40,32,20)t(32,48,28)+c(24,40,20)*
c(40,24,20)t(24,24,20)-t(40,48,20)-
c(40,24,20)s(32,24,20)*s(8,8,12)+
c(32,24,20)t(24,32,20)t(40,40,12)+*
t(48,32,12)c(24,32,20)+t(40,48,20)-
t(40,40,20)c(32,16,12)+s(40,40,20)*
s(32,32,12)s(16,32,20)+s(48,8,12)+
c(40,40,20)t(32,48,28)c(32,32,28)**
s(16,32,20)c(40,24,20)c(16,24,12)+*
s(48,16,20)s(24,16,20)s(16,16,20)*+
s(32,24,28)t(40,40,20)-c(32,32,20)*
c(32,40,12)s(16,24,20)s(32,24,20)-+
c(24,32,20)t(40,32,20)-s(24,32,20)*
t(24,32,28)s(48,16,20)t(24,40,28)+*
c(32,48,12)s(24,40,12)+t(24,40,20)*
s(24,16,20)t(32,24,12)-t(24,40,28)+
c(40,40,20)t(24,48,20)-s(40,24,28)*
s(16,40,20)s(32,32,20)t(24,32,20)*-
s(24,32,20)s(40,16,20)s(32,32,28)*-
s(24,40,28)s(16,24,20)s(40,16,20)-*
s(24,40,28)c(24,24,20)c(32,24,20)**
s(40,24,28)s(16,16,20)s(32,16,12)+*
t(32,48,28)t(24,32,28)s(16,16,12)-*
s(16,24,12)s(24,48,20)t(32,40,28)*+
s(16,48,20)s(24,48,20)*t(24,40,28)*
s(24,40,28)s(32,32,28)-s(40,48,20)+
s(32,40,28)c(24,24,12)-t(24,40,20)-
t(32,32,28)s(40,40,12)-s(24,24,20)*
s(32,32,28)t(24,48,28)*c(16,24,12)+
c(48,16,12)c(24,40,20)+s(32,40,20)*
s(24,48,20)c(24,24,20)s(40,32,20)*+
s(24,24,28)c(32,32,12)-c(40,24,20)+
s(40,32,20)s(8,24,12)+s(40,40,12)-
t(24,32,28)s(32,24,20)*c(32,48,12)+
t(32,32,28)s(24,32,20)c(32,32,20)**
t(24,48,12)c(24,24,20)s(40,16,20)-+
c(24,40,12)s(16,16,12)s(8,32,12)++
c(48,16,12)t(48,48,12)s(32,16,12)++
s(24,32,28)s(40,40,20)-c(32,40,20)+
s(32,8,12)c(24,32,20)+t(32,32,28)-
s(24,32,28)c(32,24,20)*s(24,40,20)*
s(48,48,20)s(48,40,20)s(40,16,20)-*
c(24,32,20)s(48,40,12)t(16,32,12)+-
s(24,24,28)s(32,40,28)s(40,16,20)-*
s(48,40,12)s(40,48,12)+t(32,40,12)-
t(40,48,20)c(32,40,20)*c(24,24,20)-
t(48,56,12)s(40,40,12)+c(48,48,12)+
t(24,32,20)t(32,32,20)+c(32,48,12)-
c(16,40,12)t(48,48,12)+s(40,48,20)+
c(40,48,12)s(16,40,20)+s(32,24,20)-
c(40,24,12)t(24,48,28)+c(24,32,20)*
t(40,24,12)s(24,32,20)+t(24,40,28)*
s(8,40,12)t(24,40,20)+s(24,48,12)+
s(16,32,20)t(48,16,12)c(16,32,12)+*
t(24,40,28)c(40,32,12)+s(24,32,28)*
t(32,48,28)t(24,32,28)t(32,32,28)**
c(40,24,20)t(24,48,28)-s(40,16,20)*
s(24,40,28)s(8,48,12)-s(32,40,12)-
s(32,16,20)s(40,16,12)t(32,32,28)+*
s(16,40,20)t(24,32,12)-s(32,16,12)+
t(24,48,28)s(24,48,20)c(32,32,28)**
t(32,48,28)s(24,16,20)+t(24,40,28)-
s(32,24,20)c(32,40,20)c(32,24,20)**
c(32,48,12)t(24,24,12)+s(24,16,20)-
s(16,32,20)s(32,32,28)*s(16,48,12)-
c(40,24,20)c(24,32,12)-c(32,24,20)*
s(32,40,28)c(24,32,20)c(40,24,12)-*
c(32,32,28)c(24,48,12)-s(48,24,12)-
s(48,40,20)c(32,40,20)s(32,32,28)**
s(40,24,28)c(48,40,12)-c(24,40,20)-
t(24,40,20)t(48,16,12)t(24,24,20)+-
c(48,32,12)t(24,48,28)+s(48,40,20)*
s(16,32,20)c(32,32,28)s(48,40,20)-*
t(40,40,12)t(24,48,20)s(16,48,20)*+
c(32,32,20)c(40,40,20)*t(40,40,20)*
s(16,32,12)c(32,48,12)+s(32,32,28)+
c(40,40,20)s(24,40,20)s(40,32,28)*-
c(32,24,20)t(40,24,20)s(16,32,20)--
s(32,32,20)c(40,24,20)c(16,16,12)+*
t(32,40,28)t(40,48,20)*c(16,48,12)+
s(48,24,20)s(16,32,12)s(48,16,20)+*
s(40,24,28)c(32,24,20)*s(24,32,20)*
s(32,24,20)c(32,32,12)c(48,48,12)+-
c(32,40,20)t(24,48,28)t(24,32,28)*-
s(32,32,20)s(40,8,12)t(40,16,12)+-
s(40,32,20)t(32,56,12)s(32,40,20)+*
s(16,24,20)s(8,8,12)s(8,24,12)+-
c(24,40,12)c(40,40,20)s(32,48,20)-+
s(24,32,28)s(24,32,12)-t(40,56,12)+
s(32,8,12)t(24,48,20)s(32,40,12)-+
t(24,32,20)s(8,8,12)t(32,32,12)+-
s(32,48,12)t(24,40,20)+t(24,48,12)-
s(40,32,20)c(24,32,20)+s(24,16,12)-
s(24,24,28)s(40,40,20)c(40,48,12)-+
s(24,32,28)s(16,8,12)+s(24,40,20)-
s(24,16,20)s(32,24,28)*s(40,8,12)-
s(40,40,28)t(40,32,12)-t(32,40,28)+
s(32,32,28)s(16,32,20)+c(32,40,12)-
t(24,40,28)t(32,48,28)*s(16,48,12)+
s(32,32,12)s(40,32,12)+s(16,8,12)+
t(32,32,20)s(32,40,28)c(48,48,12)-*
c(32,40,20)s(48,40,20)*c(48,32,12)+
c(24,40,20)c(32,40,20)*s(48,40,20)-
s(24,48,20)t(32,48,20)*t(16,32,12)+
t(24,40,20)c(40,40,20)s(16,32,12)+*
c(40,24,20)s(48,32,20)*c(40,16,12)-
s(48,16,12)t(16,32,12)+s(24,32,12)-
s(24,24,20)c(24,24,12)s(40,40,12)+*
s(32,24,28)s(48,32,20)+s(40,40,20)+
s(24,48,20)c(24,24,20)s(16,40,20)+*
t(48,56,12)s(40,40,28)t(32,32,28)*+
s(40,24,20)s(32,24,20)c(48,32,12)-*
c(32,48,12)c(40,40,20)t(24,48,28)-+
s(32,32,28)s(16,48,20)s(8,24,12)+*
s(24,16,20)s(40,16,12)-s(48,40,12)+
s(32,16,20)s(16,40,20)t(40,16,12)+-
t(24,56,12)t(24,48,20)+s(32,24,28)-
t(32,40,20)c(32,32,20)c(16,48,12)-+
t(32,24,12)s(48,24,12)+c(48,40,12)-
s(48,40,20)s(32,32,28)*c(32,32,20)*
s(48,32,12)s(24,24,28)c(40,24,20)-+
s(8,32,12)t(24,32,20)s(32,48,12)-+
s(40,24,20)t(32,32,20)s(40,48,20)+*
c(40,40,20)t(40,48,12)s(40,24,28)+*
t(32,32,28)s(24,16,12)s(40,40,28)+*
s(24,40,20)s(40,32,28)*s(16,32,12)-
c(24,32,20)t(24,48,28)s(32,40,20)**
s(40,32,20)s(32,40,20)s(24,40,20)++
c(40,32,20)s(24,40,12)t(24,24,12)+-
s(48,32,20)c(32,32,20)c(40,24,20)**
c(40,24,20)t(24,32,12)-s(40,16,20)+
t(32,40,28)s(24,40,20)t(16,40,12)-*
s(16,24,12)t(40,16,12)+s(40,32,12)+
s(48,32,20)s(40,48,12)-s(16,48,12)+
s(24,40,28)s(48,24,20)-t(24,32,20)*
s(24,16,20)s(24,40,20)-t(32,40,28)-
t(32,48,20)t(32,40,28)+c(40,32,20)*
c(40,24,20)c(32,32,20)s(24,48,20)*-
s(48,40,20)s(40,40,20)*s(32,32,28)*
s(40,40,20)t(32,40,28)t(32,40,12)-*
c(40,24,12)s(48,32,12)+s(40,16,12)-
s(8,24,12)s(40,16,20)+c(32,32,20)*
c(16,40,12)s(48,40,20)t(48,40,12)-+
c(32,32,28)c(16,24,12)s(24,16,20)+*
t(24,32,20)s(40,48,12)+s(24,32,28)*
s(40,32,28)s(24,48,12)-s(48,24,20)*
s(16,32,20)c(24,40,20)s(48,40,20)-*
s(40,32,20)c(48,16,12)+t(40,24,20)-
t(32,48,20)s(32,32,12)+s(24,32,28)*
s(40,32,28)s(40,40,28)*c(40,32,20)*
s(32,24,20)s(32,16,12)-s(8,16,12)+
s(40,32,28)s(24,40,28)-s(24,40,12)+
t(40,48,20)s(32,48,12)+s(48,16,12)+
s(40,24,20)s(48,40,20)t(32,40,28)--
s(32,32,20)s(40,48,12)-s(40,32,28)*
c(24,40,20)t(32,16,12)s(32,48,12)+-
c(40,24,20)c(32,40,20)*t(24,24,12)-
s(24,24,20)s(32,24,28)s(32,40,28)--
t(24,48,28)s(24,40,28)s(40,24,12)-*
c(24,24,12)s(40,48,12)+s(16,40,20)-
s(24,32,28)t(32,32,28)*s(32,32,20)*
s(16,48,20)c(40,32,12)+c(32,24,20)*
s(24,24,20)s(40,16,20)s(40,32,20)-+
s(40,40,28)c(24,40,20)*s(24,24,20)+
s(24,32,20)s(16,40,12)-t(16,16,12)-
c(40,32,12)t(24,32,28)s(24,24,12)-+
c(24,24,12)s(32,48,20)+s(16,24,20)*
t(32,32,28)t(32,40,20)+s(40,40,20)*
c(40,24,20)t(32,24,20)s(24,8,12)+*
t(24,32,28)c(32,32,28)s(40,48,20)*-
s(8,32,12)s(32,24,20)s(32,48,20)++
s(32,40,28)t(24,32,12)c(24,40,12)+-
s(32,24,28)t(48,16,12)-s(32,32,28)*
c(24,40,20)s(32,24,28)*t(32,48,20)-
s(40,40,20)s(32,40,20)*s(32,24,28)+
s(24,40,20)t(24,48,20)s(16,24,12)+*
s(24,24,20)s(48,32,20)s(24,40,20)+*
s(32,48,20)s(16,16,12)c(40,32,20)+*
s(16,8,12)s(48,48,20)t(16,40,12)++
t(40,40,20)t(48,32,12)+s(40,24,12)-
c(40,24,20)c(32,32,20)*s(32,40,20)+
s(32,32,20)t(48,32,12)t(32,48,20)+-
s(40,24,20)s(32,32,28)c(24,16,12)-+
c(32,24,12)s(16,40,12)+t(32,24,12)-
s(16,16,20)c(48,16,12)+s(24,16,20)-
s(16,48,20)t(32,56,12)+s(48,48,12)+
s(40,48,20)s(32,40,28)*t(40,40,20)*
s(32,48,12)c(32,32,28)t(24,32,28)-+
s(24,40,28)s(48,40,20)-s(32,32,28)-
s(24,40,28)s(32,48,20)s(40,48,20)**
c(32,40,20)c(24,24,20)s(32,40,28)**
s(24,16,20)s(32,40,12)+s(16,32,20)-
c(24,24,20)t(40,48,12)+c(32,32,20)*
s(24,16,20)c(16,16,12)-s(32,8,12)+
s(40,40,28)s(24,40,20)+s(24,24,28)-
s(24,24,28)s(40,32,20)c(16,48,12)+*
s(32,16,20)s(32,24,28)c(32,24,12)--
s(24,32,28)s(24,16,20)*s(16,16,20)*
t(24,40,28)s(32,32,28)s(24,48,12)-*
s(40,32,28)t(32,32,28)+t(48,40,12)-
t(32,40,12)t(24,24,20)+c(32,24,20)*
s(24,32,28)t(32,40,28)*c(40,32,20)*
t(48,16,12)s(16,24,12)+t(24,40,20)-
s(32,24,28)t(32,48,28)-s(32,32,28)*
s(24,40,28)t(32,56,12)s(40,24,20)+*
c(40,24,20)c(48,16,12)c(48,32,12)+-
s(24,40,28)c(32,24,20)s(24,32,20)**
c(16,40,12)c(24,32,12)+s(32,40,12)+
c(24,24,20)s(8,24,12)-t(24,48,20)-
c(40,40,20)c(40,32,20)+t(16,40,12)+
s(48,24,20)s(32,32,20)-s(48,40,12)-
c(24,32,12)t(32,40,28)+s(40,32,28)*
c(24,40,12)s(8,48,12)t(32,48,20)++
t(24,32,28)s(8,24,12)c(24,40,20)+*
s(40,40,28)t(48,24,12)-s(24,16,20)-
c(48,32,12)s(16,48,20)s(32,48,20)-+
s(48,40,20)s(40,32,20)s(24,32,12)+*
c(40,24,20)s(32,16,20)t(24,40,28)-+
s(40,32,20)s(40,40,20)*t(40,32,12)-
s(32,32,28)c(40,32,20)+c(32,40,12)-
s(40,24,20)c(24,16,12)+s(32,24,20)*
s(32,32,20)c(24,40,20)*s(24,48,20)+
t(48,24,12)s(32,32,20)+c(40,24,20)+
s(48,32,20)t(32,48,28)+c(40,24,20)*
s(40,16,12)s(32,40,20)+s(24,40,20)*
t(32,56,12)c(32,40,12)s(40,8,12)++
t(32,48,20)s(24,24,20)-c(32,32,20)+
t(24,40,28)c(16,48,12)-s(48,32,20)-
c(40,32,20)c(32,40,20)*s(40,48,12)+
s(48,16,20)s(32,32,20)c(32,40,12)-+
t(32,40,28)t(40,40,12)-c(32,40,20)*
s(32,32,28)t(32,48,28)-c(32,40,20)-
t(40,32,20)s(24,48,20)c(40,40,20)*-
s(48,24,20)s(32,48,20)+s(16,48,20)+
s(24,24,20)s(8,40,12)+c(24,40,12)-
c(16,24,12)c(32,32,12)+c(48,32,12)-
s(48,40,12)c(24,24,12)+c(32,24,20)*
s(16,8,12)s(40,40,28)+s(48,32,20)*
t(32,40,28)s(48,40,20)c(32,24,12)--
s(24,40,28)s(8,32,12)-t(32,32,28)*
s(32,32,20)t(32,40,20)s(16,32,12)+*
s(40,16,20)s(24,16,12)c(32,32,20)+*
t(32,48,28)t(24,40,20)s(16,40,20)+*
s(48,24,20)t(16,32,12)t(32,40,20)+-
s(32,32,20)c(40,32,20)c(48,16,12)-+
s(16,40,20)t(24,24,20)+s(16,48,20)-
c(32,40,20)s(16,48,20)*t(24,40,20)+
s(40,32,28)s(32,24,28)*s(48,32,20)-
s(32,24,28)s(16,16,12)-s(24,16,12)-
c(24,40,20)s(40,40,20)s(32,40,20)**
t(16,40,12)s(32,48,12)+t(40,56,12)-
c(32,32,28)t(32,32,20)c(40,24,20)*-
t(32,48,20)s(16,24,20)+s(32,40,28)*
c(32,32,20)t(16,32,12)-t(24,24,20)-
s(32,32,12)s(16,40,12)c(16,16,12)++
c(32,24,20)s(48,40,12)+c(16,32,12)-
t(32,40,28)s(32,32,28)*c(24,24,12)-
s(40,40,28)t(32,40,28)c(24,24,12)+*
c(24,40,20)t(24,32,20)s(48,48,20)--
t(24,40,28)c(40,40,20)s(32,40,20)+*
c(24,24,20)s(8,16,12)-t(24,32,12)-
c(40,40,20)s(48,48,20)c(48,16,12)+*
t(24,40,28)c(40,24,20)c(40,40,20)*-
t(24,32,28)c(32,40,20)*t(40,40,20)-
s(40,48,20)s(32,24,28)-c(40,40,20)*
t(32,48,12)t(48,48,12)+t(32,32,20)+
t(24,48,28)t(24,40,28)s(32,16,20)-*
s(48,32,20)c(48,40,12)-s(48,48,20)-
c(32,40,20)c(40,24,12)c(16,32,12)+*
s(24,16,20)s(16,24,20)c(32,16,12)--
s(24,32,28)c(40,24,20)*s(40,16,12)-
s(40,48,12)s(16,16,20)s(48,32,12)++
s(24,48,20)s(24,24,20)+c(24,48,12)-
s(16,32,20)s(8,32,12)-c(24,40,20)*
s(40,8,12)s(32,40,20)c(24,40,20)*+
c(48,48,12)t(48,24,12)t(24,24,12)++
s(24,40,28)s(16,40,20)c(32,40,12)--
s(16,40,20)c(32,48,12)-t(24,40,28)*
s(32,32,20)t(40,48,12)+t(16,48,12)+
t(32,48,12)s(40,24,28)+t(24,48,28)-
c(40,24,20)s(40,8,12)-s(40,32,20)*
c(48,32,12)s(16,8,12)+s(24,32,20)+
s(16,16,12)t(40,40,20)+c(48,40,12)-
c(32,32,28)c(32,32,28)s(32,16,20)*-
s(16,16,12)t(32,48,28)s(16,32,20)-+
s(24,32,28)s(48,32,20)+t(40,48,20)+
s(24,48,12)s(32,40,20)s(24,32,28)*+
s(40,40,28)s(48,16,20)+s(32,16,20)*
s(32,32,28)s(40,40,20)*t(40,32,12)-
c(24,32,20)t(32,16,12)c(32,40,20)+*
s(24,24,28)t(24,32,28)c(32,32,20)**
c(40,24,20)c(40,32,20)t(32,48,28)-*
s(16,40,20)s(8,24,12)-t(32,40,20)+
s(24,24,28)t(32,48,28)t(24,40,12)-+
s(16,16,20)c(32,32,28)*s(32,24,28)*
s(16,40,20)s(32,40,12)c(48,24,12)+-
t(16,16,12)t(24,16,12)+t(48,16,12)+
c(16,48,12)c(40,32,20)+c(24,24,12)-
c(40,32,12)s(40,32,28)t(32,40,28)-+
s(40,32,20)s(24,32,28)s(24,40,28)**
c(32,24,20)t(32,56,12)t(24,24,12)+-
s(40,32,28)c(24,40,20)t(24,24,20)+*
c(24,48,12)s(48,48,20)c(24,40,20)-+
c(24,32,20)s(16,32,20)s(16,16,12)--
c(40,40,20)c(40,32,20)*s(40,48,12)-
s(40,48,20)s(32,40,20)t(32,24,20)-*
c(40,40,12)s(40,32,28)c(40,48,12)-+
t(24,32,28)s(24,40,20)s(24,48,20)*-
s(48,40,20)c(32,32,28)*t(24,24,12)+
s(48,32,20)c(48,24,12)t(32,24,12)+-
c(24,32,20)t(40,40,20)-t(16,24,12)-
s(24,32,28)t(32,40,28)*c(32,48,12)-
s(32,40,28)s(48,24,20)-t(32,56,12)-
c(24,24,20)s(32,32,28)*t(32,32,20)*
t(24,40,28)s(32,48,20)*c(40,40,20)*
s(48,48,20)t(24,32,20)t(32,48,28)+-
s(16,8,12)c(48,16,12)t(40,16,12)++
s(40,48,20)t(24,24,20)s(24,48,20)+*
t(24,24,12)c(16,16,12)+s(24,24,20)*
s(16,16,20)c(16,16,12)c(40,32,12)+*
t(32,32,28)s(40,40,20)+s(24,40,28)*
t(40,24,12)s(32,16,12)+t(48,48,12)+
c(40,32,20)t(40,48,20)t(32,32,28)+*
t(32,40,20)s(24,24,28)+s(32,32,12)-
t(32,40,20)t(32,32,28)+s(40,48,12)-
t(32,32,12)c(16,40,12)+t(24,32,28)*
s(24,40,28)c(32,48,12)-s(16,16,20)-
s(24,48,12)c(32,32,12)+s(16,16,20)+
s(24,40,20)c(32,24,20)s(40,24,20)*-
s(32,40,20)s(32,40,28)t(24,32,28)**
t(32,48,28)s(48,16,12)+s(24,40,20)-
t(24,32,28)c(16,24,12)-s(24,24,28)*
t(24,40,28)t(32,32,28)*t(24,48,28)*
s(40,24,28)s(32,40,28)s(24,32,28)*+
c(24,40,20)t(40,40,12)-t(32,24,12)-
t(24,32,20)c(40,40,12)s(40,48,12)+-
c(24,32,20)t(48,48,12)s(24,32,12)++
c(40,40,20)s(16,32,20)-c(40,24,20)+
s(32,40,20)s(8,32,12)+t(32,32,20)-
s(40,32,20)s(32,40,28)*t(24,32,12)-
s(24,40,28)s(32,24,28)*c(40,32,20)*
c(24,32,20)s(16,24,20)-s(32,24,28)*
s(32,24,28)c(32,32,28)t(32,40,20)-*
s(32,32,28)s(40,40,20)*s(24,40,28)+
s(40,16,20)t(32,24,12)-s(32,24,28)*
t(24,40,28)t(32,32,28)*s(32,32,20)*
s(48,48,20)t(24,56,12)t(32,40,12)++
c(24,24,20)s(24,16,20)*s(40,24,12)-
s(32,24,20)c(32,32,28)s(40,40,20)-*
s(32,40,20)s(24,32,28)*s(40,48,12)-
s(32,24,20)s(24,40,28)*s(48,24,12)-
s(40,40,28)s(32,8,12)+t(32,40,28)-
s(24,32,20)c(32,40,20)*c(40,32,20)*
t(24,32,20)s(24,40,20)+s(16,32,20)*
c(40,24,20)s(32,32,12)-s(40,32,28)*
s(40,24,20)c(16,48,12)+s(32,40,20)*
c(24,24,20)t(24,40,20)s(48,32,12)+-
s(32,40,28)t(24,32,28)t(32,32,12)-+
s(32,40,28)c(40,32,12)-s(32,24,28)*
c(40,40,20)t(24,40,28)s(8,48,12)--
s(48,40,20)s(16,40,12)s(32,40,12)+-
t(24,32,28)c(40,40,20)-t(32,32,20)-
s(32,32,20)c(32,32,28)s(48,24,12)-*
s(24,48,20)c(40,40,20)c(32,24,12)--
c(48,24,12)t(24,24,12)+c(32,32,12)+
s(40,24,28)s(32,40,12)-s(32,32,28)*
s(40,40,20)c(40,40,12)-s(24,48,20)+
s(24,32,28)s(16,40,20)*t(24,24,20)-
s(24,16,20)c(32,40,20)c(16,40,12)+-
t(40,48,20)s(32,24,12)+s(48,40,20)*
t(32,32,28)s(16,32,12)t(24,24,12)++
t(32,48,28)t(24,48,28)s(40,8,12)+*
s(40,32,20)s(24,24,28)t(40,32,20)--
t(24,40,20)s(32,48,12)s(24,32,20)+*
t(16,48,12)c(32,24,12)+c(16,32,12)-
t(24,32,28)s(32,40,28)*s(24,48,12)+
s(16,32,20)t(32,32,28)t(16,16,12)+*
t(40,40,20)s(32,16,20)-s(24,24,12)+
c(40,40,20)s(16,32,12)+s(32,24,20)*
s(40,32,28)s(40,40,12)s(16,40,20)+*
s(32,40,20)t(40,24,12)-s(24,32,28)*
s(32,24,28)c(32,16,12)t(16,40,12)+*
s(40,40,20)c(40,24,20)t(32,32,28)-+
s(16,40,20)c(32,24,20)s(32,32,20)*-
s(16,32,20)c(24,24,12)-s(40,48,20)-
s(16,40,20)s(32,32,28)c(32,24,12)-*
t(32,32,20)c(48,16,12)+t(40,32,20)-
s(48,32,20)c(40,24,20)s(40,16,20)*-
t(24,32,28)s(48,48,20)s(24,32,12)+-
c(32,24,20)s(16,24,20)s(24,24,20)**
s(32,48,20)s(32,48,12)-s(24,48,20)+
c(16,24,12)s(32,16,12)c(40,48,12)++
c(24,24,20)c(24,32,20)s(24,16,20)*-
s(32,24,28)c(16,32,12)-t(32,32,20)-
s(32,40,28)c(32,24,20)*s(24,24,12)-
t(40,56,12)s(40,16,20)+s(48,24,20)*
c(32,32,28)s(16,16,20)+s(48,32,12)-
s(32,40,20)c(32,24,20)s(32,32,28)**
s(24,8,12)s(24,32,12)c(24,16,12)++
t(24,48,28)s(8,48,12)-t(32,40,12)-
t(24,32,12)c(24,40,20)c(16,24,12)-+
s(40,40,28)s(16,16,12)+t(40,32,12)-
t(24,48,28)t(32,32,28)s(48,32,20)+*
s(40,8,12)t(16,24,12)+s(8,32,12)-
s(32,32,28)t(32,24,20)-t(24,48,28)-
t(24,32,28)s(40,24,28)*c(48,32,12)+
s(32,32,20)s(16,24,20)-s(48,32,12)-
c(48,32,12)c(24,48,12)+s(48,32,20)*
s(24,32,28)c(40,24,12)c(32,16,12)++
c(32,24,20)s(32,32,28)c(40,16,12)-*
s(24,24,20)s(24,40,20)s(40,40,28)+*
s(32,48,20)s(48,32,20)-t(32,40,28)*
t(24,40,12)t(24,40,28)c(32,32,12)-+
c(24,32,20)s(16,32,20)t(32,24,20)-*
s(24,40,20)t(32,40,28)s(24,24,28)--
s(32,32,20)s(48,24,12)-c(24,24,20)*
s(16,16,20)t(32,56,12)+s(8,24,12)-
s(24,32,28)s(32,32,12)-s(32,32,20)-
c(40,40,20)s(16,8,12)+t(24,32,28)*
t(24,48,28)s(32,32,28)-s(32,40,20)-
t(40,24,12)s(24,16,20)+s(24,8,12)-
s(32,24,28)c(32,40,20)*s(40,24,12)-
c(40,24,20)s(40,40,12)-s(32,8,12)-
s(32,48,20)c(24,16,12)+s(48,48,12)-
c(48,32,12)t(32,40,28)s(48,40,12)++
t(24,24,20)s(16,40,20)+t(24,40,28)*
s(24,16,20)s(16,24,20)s(24,24,20)**
s(24,32,28)t(32,48,28)*c(40,32,20)*
s(16,16,20)s(40,16,20)s(24,16,20)*+
c(32,40,20)s(40,32,28)s(32,24,28)*+
s(16,16,20)c(40,16,12)+s(24,32,20)-
c(40,24,20)t(24,40,20)s(8,48,12)-+
s(24,40,28)t(32,24,12)-t(16,56,12)-
s(40,40,20)s(8,32,12)c(40,32,20)+*
t(32,32,28)c(16,40,12)+s(24,32,20)*
c(40,32,12)t(24,16,12)+s(48,24,12)-
s(32,32,28)t(32,40,20)-t(40,32,20)+
s(24,32,28)t(32,40,28)*c(40,40,12)-
s(24,48,20)c(40,32,20)+s(24,24,20)-
c(40,24,20)s(24,24,28)*s(40,32,28)*
t(24,40,12)s(48,32,12)+s(24,24,20)-
s(24,48,20)t(16,24,12)+s(48,40,20)-
t(40,48,20)s(16,40,20)t(32,40,28)-+
s(16,24,20)s(48,24,12)+t(40,24,20)-
t(40,48,20)c(32,24,20)+t(40,32,20)*
c(40,32,20)t(24,32,28)*c(40,24,20)*
s(48,48,12)s(16,48,12)+t(48,56,12)-
s(16,40,20)s(32,24,20)c(24,24,20)*-
s(24,16,12)t(24,48,20)+s(40,32,20)+
c(32,40,20)s(24,40,20)s(24,24,28)+*
s(32,40,28)s(32,32,12)-c(40,32,12)-
s(24,32,28)s(24,40,28)*s(40,32,28)+
c(40,40,20)s(32,8,12)t(48,48,12)+-
c(32,32,28)s(40,40,12)c(16,16,12)+*
t(32,48,28)c(32,40,20)s(40,32,20)-*
c(40,40,20)s(24,24,28)c(48,32,12)+*
s(24,16,20)s(40,32,20)s(40,24,20)*+
t(32,40,28)s(16,40,20)*t(16,16,12)+
t(32,40,28)s(32,40,28)t(24,32,20)*-
s(16,32,20)s(24,24,28)s(16,16,20)+*
s(40,24,20)s(32,40,28)s(24,32,20)*-
s(40,24,20)c(40,40,20)+c(32,40,12)-
c(16,40,12)s(48,32,20)+s(24,40,28)-
s(16,32,20)c(16,16,12)c(48,16,12)++
s(24,48,20)t(24,48,28)s(16,48,20)**
s(40,32,28)t(40,40,20)-s(32,48,20)-
c(40,24,20)t(40,40,20)-c(32,32,20)*
c(24,24,20)t(32,24,12)-t(24,32,28)*
s(24,24,28)s(40,32,20)s(40,48,20)*-
t(32,40,20)s(40,24,28)c(24,24,20)*+
t(24,32,28)s(32,32,28)*s(48,32,12)+
c(32,24,20)s(40,16,20)c(40,32,12)--
t(40,48,12)t(32,32,28)+s(40,32,28)*
s(32,40,20)s(40,16,20)-t(24,32,28)*
s(16,16,20)c(32,32,20)s(32,48,20)--
c(32,24,20)s(32,40,12)-s(24,24,28)*
t(40,56,12)s(24,32,12)c(48,32,12)++
c(40,24,20)s(40,48,20)s(32,40,20)+*
s(40,32,20)c(24,32,12)+s(48,16,12)+
c(40,32,20)t(48,24,12)-c(40,40,20)+
c(24,40,20)s(48,48,12)c(32,40,12)+*
t(24,24,20)s(32,8,12)+t(24,40,28)-
s(24,40,28)c(40,40,20)s(24,24,20)+-
s(24,48,20)t(32,48,20)t(48,32,12)+*
s(24,16,20)s(40,16,20)c(24,32,12)+*
s(32,24,28)s(40,40,28)s(32,32,12)--
s(16,48,12)s(24,32,12)+s(32,48,20)+
c(48,16,12)c(40,24,20)s(24,24,28)-+
s(40,48,20)t(24,40,28)-s(32,40,20)-
t(40,16,12)t(32,24,20)+c(40,16,12)+
s(24,32,20)c(24,40,20)t(32,24,12)-*
s(48,32,12)t(40,48,12)s(16,16,20)++
t(24,48,20)c(24,32,12)+c(24,24,20)*
s(24,24,28)c(24,32,20)s(48,48,20)-*
s(16,32,20)s(24,16,12)-s(40,48,12)+
t(24,24,20)t(32,32,28)+s(24,40,28)*
t(24,32,28)s(40,32,20)+t(24,40,20)-
s(32,32,20)s(32,16,20)t(32,32,28)*-
s(24,32,28)s(32,40,28)c(32,32,20)**
c(24,24,20)s(24,40,28)*c(40,16,12)-
s(32,32,28)c(24,40,20)c(32,48,12)-*
t(32,56,12)s(48,16,20)+s(40,24,28)*
c(40,32,20)t(32,16,12)-c(48,40,12)-
t(32,48,28)c(40,48,12)-c(40,16,12)+
s(16,32,20)s(32,48,20)s(16,48,20)*-
s(32,16,20)s(32,40,28)+s(40,16,12)-
c(32,32,20)t(32,32,28)t(32,24,20)-*
t(24,24,20)s(32,32,20)s(8,24,12)+*
c(32,32,28)s(32,48,20)*c(40,32,20)*
c(40,40,20)s(24,40,28)s(32,48,20)*-
s(40,24,28)s(32,32,28)s(48,40,12)-*
c(32,24,20)t(24,32,28)*s(48,48,20)+
s(24,24,28)s(32,24,20)s(40,40,28)+*
s(40,32,28)s(32,24,28)*s(40,24,12)-
s(24,40,20)s(24,40,28)t(32,24,12)-*
s(16,24,20)s(24,32,28)*c(24,40,12)-
t(24,32,20)c(32,32,28)s(16,48,12)-*
c(32,16,12)t(32,32,12)+s(40,24,20)*
s(48,24,20)s(16,24,20)+c(24,24,12)-
s(40,40,20)s(32,32,28)t(24,40,20)--
s(32,48,20)s(32,32,28)t(32,32,28)--
c(24,40,20)s(40,32,20)t(40,40,20)+*
s(48,40,20)s(32,40,28)s(24,32,28)*-
t(32,48,28)s(40,40,28)s(16,48,12)+*
s(32,48,20)c(16,48,12)-c(32,24,20)+
s(40,32,28)s(32,24,20)*c(16,40,12)+
s(24,40,28)c(40,32,20)t(24,48,20)+*
s(8,40,12)s(48,32,12)+t(16,40,12)-
s(40,40,28)s(24,48,20)s(40,32,20)--
t(24,40,12)c(24,32,12)t(32,16,12)++
t(32,32,28)c(40,40,20)s(32,48,20)+*
s(32,16,20)s(32,32,20)t(40,56,12)++
s(40,24,12)s(16,48,20)+s(16,32,20)*
s(40,24,28)s(32,32,28)s(16,24,20)*+
s(8,16,12)s(24,32,20)+s(32,24,20)*
s(40,40,20)s(32,48,20)s(16,48,12)-*
s(16,16,20)s(8,48,12)+s(32,16,20)*
t(32,16,12)s(48,24,20)+c(24,24,20)-
s(24,48,12)s(8,24,12)+s(16,40,12)-
t(32,48,20)s(24,32,20)+s(16,40,20)-
t(32,48,28)s(48,48,12)-t(32,40,28)*
c(16,32,12)s(40,40,20)t(40,48,20)*+
t(40,32,20)s(8,8,12)+t(24,40,20)-
t(32,48,20)t(24,40,12)-c(40,16,12)+
s(16,40,20)c(24,32,20)s(32,48,20)*-
c(32,24,20)t(32,40,20)-c(40,32,20)+
s(32,24,28)c(40,32,20)t(32,48,28)-*
c(24,24,20)t(24,48,20)+s(48,40,20)+
s(40,32,28)c(32,24,12)c(16,48,12)+-
c(32,24,20)s(16,16,12)+c(24,40,12)-
s(32,32,28)s(24,32,28)*s(32,40,28)*
t(24,40,20)c(32,24,20)+s(16,32,20)*
s(48,24,20)t(24,16,12)+c(32,32,20)*
t(32,32,28)t(24,32,20)s(48,40,20)--
s(24,40,20)s(32,40,28)s(40,32,12)-+
s(48,40,20)c(32,32,20)c(48,32,12)+*
t(48,48,12)c(48,16,12)+s(40,24,28)*
c(48,32,12)t(16,16,12)s(24,8,12)++
s(16,8,12)t(24,40,20)s(32,24,20)++
t(48,48,12)c(32,40,20)s(32,24,28)-+
s(16,32,20)t(32,24,12)s(40,40,20)+-
s(40,32,20)t(48,56,12)c(24,32,12)+-
t(32,48,20)c(48,32,12)c(16,48,12)+-
s(24,32,20)t(40,40,20)+s(8,48,12)+
s(24,24,28)s(32,48,20)+t(24,40,20)-
s(24,32,20)s(48,40,20)c(24,32,20)-+
c(40,24,12)s(8,32,12)+s(32,40,20)+
s(40,40,20)c(32,40,20)s(32,24,28)**
c(32,40,20)s(32,32,28)*s(48,24,20)+
c(32,32,20)t(16,40,12)-t(24,16,12)-
s(40,32,20)s(24,40,12)-s(16,32,20)-
s(24,40,28)s(16,24,20)s(24,32,20)-+
s(16,24,20)s(24,32,20)-c(24,40,20)+
s(48,48,12)s(32,40,20)t(32,48,28)*+
c(32,32,28)s(16,24,12)-c(24,24,20)*
s(32,40,20)c(40,24,20)+s(40,16,20)*
s(32,40,28)s(24,48,20)*t(24,16,12)+
c(48,24,12)s(32,16,12)+s(40,16,20)*
s(48,24,20)s(40,24,28)s(24,24,20)*+
s(24,48,20)s(8,16,12)+s(32,24,20)-
s(16,24,20)s(16,16,12)-t(32,16,12)+
s(40,16,20)s(32,48,20)c(40,40,20)*+
c(24,24,20)s(24,32,28)*t(24,24,12)-
s(48,24,12)c(32,40,20)+s(32,32,12)-
s(48,40,20)s(32,40,28)*s(32,24,28)+
s(24,24,28)t(32,40,20)-t(24,40,28)-
s(40,40,20)s(24,32,20)c(40,24,12)+*
c(32,40,20)s(24,32,28)t(24,40,12)--
s(40,24,20)s(40,16,20)s(24,16,20)*+
s(40,32,28)s(32,16,20)*c(32,32,20)*
s(16,16,20)s(32,40,28)s(40,32,28)*+
s(40,24,28)c(40,40,20)s(32,40,28)**
t(32,40,28)s(40,48,20)t(40,24,12)+*
c(40,40,20)s(32,48,12)-s(32,32,12)-
t(24,40,28)s(32,32,20)s(16,24,12)-*
s(32,24,28)s(48,8,12)-s(32,16,20)-
c(40,40,20)t(32,48,20)*s(16,40,20)+
s(40,40,20)s(24,24,20)s(48,32,12)+*
c(32,40,20)t(48,40,12)s(8,24,12)+-
s(40,32,20)c(32,32,12)t(40,16,12)+*
t(32,40,28)s(40,32,20)t(40,40,20)*-
s(40,48,20)c(24,32,20)c(24,24,20)*+
c(32,24,20)s(48,24,20)*c(24,32,12)+
s(24,40,20)s(40,32,12)c(24,48,12)+-
s(32,32,28)s(16,24,12)c(40,40,12)+-
c(40,32,20)t(48,24,12)t(24,40,28)++
t(24,40,28)s(40,32,28)-s(16,40,12)+
s(32,48,12)s(40,24,28)+t(24,48,28)*
s(40,40,28)s(48,24,20)*s(8,24,12)+
c(40,40,12)s(40,16,12)+s(32,32,12)+
s(32,24,20)t(40,24,12)t(40,16,12)+-
s(40,24,28)s(40,40,20)t(24,40,12)+*
t(32,48,28)t(48,56,12)-c(48,40,12)-
s(40,24,12)c(32,40,20)+s(24,40,20)*
s(32,40,28)s(32,24,28)s(8,16,12)+*
s(32,40,20)c(24,40,20)s(48,40,20)-*
s(40,40,28)s(40,40,12)-s(48,40,20)-
t(40,24,20)c(40,32,20)s(32,32,28)**
t(24,24,12)c(32,16,12)+s(24,16,20)*
c(24,40,20)t(32,40,28)s(32,24,12)-*
s(40,32,28)t(32,40,28)t(40,48,12)-*
s(32,8,12)c(48,32,12)t(24,40,20)++
s(24,48,20)s(24,48,20)s(24,32,20)*-
s(32,32,28)s(32,16,12)-t(40,24,20)-
c(48,40,12)s(8,24,12)+t(24,48,28)+
c(24,40,20)s(32,32,28)*t(16,32,12)-
c(16,32,12)t(40,24,20)s(40,8,12)-+
t(24,32,28)t(24,48,28)t(24,56,12)-*
t(24,40,28)t(32,48,28)-c(16,40,12)+
t(24,48,28)s(24,32,20)t(32,48,28)--
c(32,32,20)t(32,48,28)*c(24,24,12)-
c(32,32,20)c(40,24,12)-s(32,32,20)+
s(16,16,20)s(32,24,20)+c(40,40,12)+
s(24,40,28)t(24,48,28)*c(40,16,12)+
s(16,16,20)c(32,32,28)s(24,48,20)*+
s(32,32,28)s(24,40,28)*s(32,24,20)+
c(32,24,12)s(48,16,20)s(48,32,20)*+
t(16,24,12)s(32,40,20)+t(48,56,12)+
s(48,24,20)s(32,24,28)c(32,16,12)--
t(16,48,12)s(48,40,20)+c(40,48,12)+
t(24,32,20)t(32,48,20)-c(16,32,12)+
s(48,24,20)s(40,16,20)*s(48,40,12)+
c(40,40,20)c(24,48,12)-s(32,32,20)*
s(32,48,20)c(32,24,20)-t(40,56,12)-
s(8,8,12)t(24,24,20)t(24,48,12)++
s(32,24,28)s(48,48,20)+t(32,40,28)*
t(48,40,12)t(32,32,20)t(24,32,28)*+
c(40,40,20)c(32,40,20)t(32,40,28)**
s(40,40,20)t(32,40,28)t(40,24,20)-*
t(40,32,20)s(32,24,28)s(24,40,28)*+
s(32,40,28)c(32,24,12)-s(40,40,20)*
t(40,40,20)s(32,32,20)s(24,40,28)+*
s(32,16,20)s(32,32,28)*t(16,24,12)-
s(16,48,20)c(24,40,20)*s(48,16,20)+
t(24,40,28)t(32,32,20)s(24,48,12)--
s(32,40,20)s(32,48,20)t(24,32,20)-*
s(32,32,20)s(40,40,28)*s(32,24,28)*
s(48,40,20)s(48,24,20)*t(40,24,20)+
s(40,24,28)s(40,40,12)-s(32,24,28)*
c(16,16,12)s(40,16,20)+s(40,32,20)+
s(48,40,20)t(24,56,12)+s(16,48,20)-
s(24,32,20)t(32,56,12)+s(24,48,20)*
s(24,40,28)t(16,32,12)s(48,48,20)+*
s(40,40,28)s(16,24,20)-c(32,40,20)*
t(32,48,28)c(48,16,12)+c(24,16,12)+
t(32,32,28)t(32,40,20)c(16,24,12)+*
s(32,32,28)s(48,32,20)*s(16,8,12)+
t(24,32,28)t(16,24,12)-t(40,48,20)-
s(16,32,20)s(32,24,28)c(40,40,20)+*
s(32,24,28)t(48,24,12)-c(48,32,12)-
t(24,24,20)t(32,24,20)s(16,32,12)-+
c(16,48,12)c(32,32,20)t(40,48,20)-+
s(48,32,20)t(40,32,20)*s(24,24,12)+
s(32,40,28)s(24,32,12)s(24,16,20)+*
c(32,32,20)s(8,8,12)+s(40,40,28)-
c(32,32,20)s(40,40,20)s(16,32,20)-*
t(40,56,12)s(48,16,20)+s(32,24,20)-
s(48,24,20)s(24,32,20)-t(40,32,12)+
s(40,32,20)s(32,48,20)t(32,40,28)*-
t(32,32,28)s(16,40,12)-t(32,48,20)-
t(32,32,20)s(24,32,20)t(32,32,28)*+
c(40,16,12)s(40,24,28)t(32,24,20)-+
s(16,8,12)t(40,48,12)s(40,16,12)++
c(24,40,20)c(48,40,12)+s(40,24,20)-
s(24,40,28)c(40,32,20)-s(32,16,20)+
t(24,32,28)t(32,24,20)-c(24,40,20)*
s(32,24,28)s(24,32,20)s(32,32,12)--
s(40,32,20)s(48,32,20)*t(32,48,28)-
s(40,24,20)s(16,48,12)+t(24,40,28)*
t(24,32,28)s(16,16,20)s(40,16,20)+*
s(32,40,20)s(16,40,20)*s(24,48,20)+
s(40,16,20)c(16,16,12)+s(40,40,28)-
s(24,24,28)c(32,40,20)s(16,48,12)++
c(24,48,12)s(48,16,20)+c(32,16,12)+
s(24,32,20)c(32,32,12)-s(16,32,20)*
c(24,40,20)c(24,24,20)s(24,16,20)+*
s(40,40,28)t(32,24,20)-s(40,40,20)+
s(24,32,20)t(32,24,12)-s(32,24,20)-
s(24,32,28)s(16,40,12)-s(16,32,12)-
t(24,32,20)s(16,24,12)-t(24,40,12)+
s(32,16,20)s(24,32,28)t(24,32,12)-*
s(40,40,28)t(24,32,28)s(32,32,28)**
s(16,24,20)t(32,40,20)+s(32,16,20)-
s(16,32,20)c(24,40,20)c(32,32,20)**
s(48,24,20)s(48,40,20)*c(40,48,12)+
s(16,48,20)s(32,40,12)-c(48,16,12)+
c(24,24,20)t(40,48,12)+t(24,24,12)-
t(32,40,20)t(32,32,28)*t(40,48,12)+
s(40,48,20)c(24,40,12)+s(32,32,20)-
s(32,32,28)c(40,24,20)s(40,32,28)**
c(40,32,12)s(16,16,20)+s(24,40,28)+
s(32,40,12)c(24,40,20)s(40,24,28)*+
s(48,40,20)t(24,40,20)+s(40,40,28)*
s(48,40,20)s(32,48,20)s(40,32,20)+*
s(24,16,20)t(32,32,20)+s(40,32,28)*
c(32,32,12)t(48,48,12)+t(32,48,20)-
s(24,32,20)t(40,48,12)s(32,32,20)+*
t(32,32,20)c(32,40,20)s(40,32,28)**
s(48,16,20)c(40,24,20)*s(32,24,12)-
c(32,24,20)t(40,32,20)t(24,16,12)+*
t(32,32,28)c(24,24,20)*c(48,24,12)-
c(24,32,20)c(40,40,20)c(32,32,20)+*
t(32,40,28)t(32,32,20)-c(32,24,20)+
s(40,24,28)s(24,32,20)*s(24,40,28)*
s(40,16,20)s(48,48,20)t(32,40,28)+-
c(32,32,20)s(48,24,20)s(40,16,12)--
s(16,24,12)s(48,32,20)c(40,40,12)-+
s(24,40,28)s(32,8,12)+s(48,24,20)-
c(40,24,20)s(32,48,12)+c(32,48,12)-
s(24,16,12)s(24,40,28)t(40,16,12)++
t(40,24,20)c(32,32,20)t(24,48,28)-+
c(40,24,20)s(24,48,12)s(32,40,12)+-
c(40,24,20)c(24,24,20)s(40,32,28)**
s(32,32,28)c(24,24,20)*t(40,40,20)-
s(40,24,28)s(24,32,28)*c(40,40,20)*
t(32,48,28)t(40,24,20)s(32,24,12)++
c(40,24,12)t(24,40,20)+s(24,32,28)*
t(32,40,28)s(24,40,12)-t(24,48,28)-
s(48,8,12)s(24,32,12)+t(32,32,12)-
s(32,32,28)s(16,24,12)-s(24,32,20)*
c(32,48,12)c(40,24,12)+t(32,48,12)-
c(32,40,20)s(48,24,20)t(40,32,20)-+
t(32,48,20)c(16,16,12)+s(16,16,20)*
s(32,40,28)s(24,16,20)+s(24,24,28)*
c(40,40,20)s(32,16,20)+s(48,40,12)-
c(24,24,20)t(24,48,20)+s(32,24,28)*
c(40,32,20)s(32,32,20)c(16,32,12)--
s(24,32,20)s(40,32,28)c(32,32,20)**
t(32,32,28)t(48,40,12)c(16,16,12)+-
s(40,24,28)c(24,32,20)t(32,32,28)**
s(32,32,28)c(16,48,12)-s(24,24,20)*
s(32,48,20)c(16,48,12)+s(24,40,20)*
c(32,32,28)s(40,16,12)-s(48,32,20)*
s(24,32,28)s(32,24,28)c(40,32,12)-*
s(24,48,20)s(40,40,20)t(32,48,12)--
t(40,40,12)s(48,16,12)+c(32,32,28)*
s(24,32,20)c(32,40,20)*t(40,48,12)+
s(16,40,20)c(32,32,12)s(24,32,12)+-
c(24,32,20)c(40,32,12)t(16,40,12)+*
s(32,40,20)s(24,48,20)s(24,40,20)**
c(40,40,12)t(24,56,12)+t(32,32,12)+
c(40,32,20)t(32,40,12)-c(40,40,20)*
s(40,32,20)t(40,48,20)+t(32,40,20)*
s(8,40,12)c(24,24,20)+c(16,16,12)-
c(32,32,12)s(8,24,12)s(32,48,20)++
t(32,48,12)c(32,40,20)t(24,32,20)*+
t(40,48,12)t(32,24,12)+s(16,16,20)+
t(32,40,28)c(32,32,20)*s(40,40,28)*
s(24,40,28)s(8,32,12)-s(48,24,20)+
t(24,32,20)s(32,40,12)+t(40,32,12)+
s(32,16,20)s(24,16,20)s(16,16,20)**
c(32,32,28)s(48,32,20)*s(8,24,12)+
c(40,32,20)s(32,32,20)s(16,16,20)+*
t(24,24,20)s(32,24,28)c(32,32,20)**
c(32,24,20)s(32,40,20)-c(16,16,12)+
s(24,48,20)s(40,40,20)t(32,24,20)-+
s(16,48,20)t(40,24,20)+t(40,40,20)-
t(32,48,28)s(32,40,20)s(32,32,20)**
c(24,16,12)t(40,32,20)t(24,32,28)++
t(32,40,20)s(32,40,12)t(40,48,20)+*
s(16,40,12)c(40,32,20)+t(32,48,20)-
c(32,32,20)c(24,32,20)*c(40,24,12)-
c(24,48,12)c(24,32,20)+s(24,16,12)-
c(24,24,20)c(24,16,12)t(40,32,20)+*
c(24,40,12)c(24,16,12)+c(24,16,12)-
t(24,32,28)c(32,32,20)c(24,32,20)*+
s(40,40,28)s(32,24,28)s(40,8,12)--
s(32,40,12)s(16,48,12)+c(24,32,12)-
c(24,32,12)s(16,40,20)+c(40,24,20)-
s(16,32,12)s(48,16,20)+c(32,32,12)-
s(16,32,20)c(40,40,20)s(24,16,20)+*
t(32,40,28)c(32,16,12)-s(40,40,20)*
c(32,40,20)s(48,8,12)+t(24,48,20)*
s(24,32,28)s(24,16,20)s(40,24,12)+*
c(24,24,20)s(40,32,20)s(32,24,28)**
s(40,24,28)c(40,32,20)*t(24,32,28)-
s(24,32,28)s(40,40,12)-t(32,32,20)-
s(32,24,12)t(24,40,20)+s(32,40,20)*
t(48,40,12)s(24,24,20)+t(32,40,28)*
s(24,24,20)t(32,16,12)s(16,8,12)+-
c(48,32,12)s(8,40,12)+t(40,24,20)-
s(32,16,20)s(32,16,12)c(48,24,12)+-
s(8,16,12)c(32,32,20)+s(16,24,20)*
t(24,32,28)c(24,32,20)*s(16,40,20)*
t(32,48,28)s(16,16,20)c(32,24,20)+-
s(24,48,20)s(40,40,20)t(40,32,20)*-
s(32,32,20)s(24,40,20)s(40,48,12)-*
c(16,24,12)s(16,40,20)s(24,32,28)*+
t(24,32,28)s(48,24,20)t(40,24,20)++
s(16,40,20)t(24,40,20)s(24,16,12)+-
s(32,16,20)s(48,8,12)-s(32,40,20)-
s(40,40,28)s(48,16,20)-t(32,56,12)-
s(32,48,12)s(32,32,20)+s(40,32,20)*
t(32,32,28)t(16,16,12)+s(40,24,20)*
s(48,24,20)t(40,24,20)*s(16,40,12)+
s(32,24,28)s(32,40,28)*s(24,40,20)*
s(24,16,20)s(32,16,20)s(48,24,20)-*
t(16,16,12)t(32,40,28)+s(48,24,20)+
s(32,32,20)c(32,24,20)c(40,16,12)-*
t(24,40,20)s(32,32,20)s(40,48,20)+*
s(24,24,20)t(48,32,12)+s(32,32,20)*
s(16,40,20)t(32,32,20)c(24,24,20)*-
c(40,24,12)s(32,8,12)t(32,24,12)++
t(24,16,12)s(16,32,12)+s(32,24,12)+
t(24,56,12)t(32,40,28)s(48,48,20)-+
s(40,40,20)s(40,32,20)t(32,32,12)-*
s(32,48,20)s(16,48,12)-c(40,40,20)+
c(48,32,12)c(24,24,20)+s(16,32,20)*
t(48,16,12)s(48,40,20)c(32,40,12)-+
s(40,16,20)c(48,24,12)+c(40,40,20)-
s(48,40,20)t(40,48,20)t(48,56,12)--
t(24,48,28)s(32,24,28)+s(40,48,20)+
c(32,24,20)t(32,56,12)+s(48,16,20)-
t(40,32,20)s(40,40,28)c(48,48,12)-*
s(24,40,20)s(24,40,28)t(24,48,28)**
s(32,24,20)t(40,24,20)s(32,16,20)+*
c(40,48,12)s(24,40,20)+c(32,32,20)*
s(32,40,28)s(24,48,20)c(24,40,20)*-
c(40,32,20)t(32,24,12)-c(24,40,12)-
c(32,40,12)s(8,40,12)+s(40,40,28)*
s(32,48,20)s(24,32,28)*s(48,8,12)+
c(24,32,20)s(24,40,28)s(32,48,20)**
s(48,32,12)t(24,32,28)t(40,24,20)-+
t(16,48,12)s(32,24,12)s(8,8,12)++
s(24,40,28)t(40,24,20)t(24,32,20)-+
t(32,32,28)s(40,32,12)t(40,24,12)+-
s(16,24,20)t(40,56,12)+s(32,24,28)*
s(16,16,12)s(40,8,12)t(40,16,12)++
s(32,32,20)t(48,24,12)+s(32,48,20)+
s(32,32,28)s(40,32,20)-s(32,40,28)*
c(32,32,20)s(40,32,28)t(24,24,20)-*
s(24,40,28)c(32,32,12)-t(40,48,12)-
s(40,24,20)s(40,24,28)s(24,24,12)-*
s(40,16,20)c(32,32,12)+c(32,32,28)*
c(24,16,12)s(40,40,20)s(40,24,20)*+
c(40,40,20)t(48,56,12)-s(40,24,20)*
s(40,40,20)c(24,32,12)-c(48,40,12)+
t(32,48,28)t(32,32,28)t(24,32,20)*-
s(24,16,12)c(48,48,12)c(40,24,12)++
s(32,40,20)t(32,40,28)t(32,32,12)-*
c(24,32,20)t(32,48,28)*s(32,24,20)+
t(32,40,20)c(24,48,12)s(16,16,12)++
s(24,32,28)s(32,32,28)c(16,40,12)-*
t(24,40,28)t(32,40,28)t(24,48,28)*-
s(32,40,28)c(16,48,12)-s(48,16,20)-
c(40,16,12)c(24,24,12)+s(24,48,20)+
s(40,32,28)c(24,40,20)*c(24,48,12)-
s(48,8,12)s(24,40,28)+s(48,32,20)+
s(24,40,28)c(32,24,20)c(40,24,20)*-
c(40,48,12)s(32,24,28)+s(32,24,20)-
t(32,48,20)s(24,48,20)s(48,32,12)++
s(24,32,20)s(32,24,28)s(40,32,28)**
s(48,16,12)s(16,16,20)+s(16,24,12)-
s(24,16,20)c(32,32,20)-s(16,16,20)+
c(32,32,20)c(40,40,20)s(32,40,20)**
s(24,40,20)s(32,40,20)*s(40,48,12)+
t(24,40,28)t(32,48,28)*t(24,32,12)-
s(24,40,28)s(24,32,28)*t(32,32,20)*
s(40,24,28)s(32,48,20)-s(16,24,20)-
s(16,24,20)t(24,40,28)s(24,40,20)*+
s(32,32,28)t(32,40,12)-s(40,40,20)*
s(16,32,20)s(40,32,20)s(32,40,20)*+
c(24,40,20)c(32,40,20)s(40,48,20)*+
s(32,40,28)s(16,32,20)+t(32,48,28)*
c(16,32,12)t(40,56,12)+s(32,40,28)*
c(24,40,20)s(40,32,28)t(32,40,20)-+
s(32,16,20)t(16,40,12)+s(8,24,12)+
s(16,48,20)s(8,40,12)-s(16,32,20)-
c(24,40,20)t(16,16,12)+t(32,32,28)-
c(32,32,20)s(40,40,20)+t(32,48,12)-
s(24,40,28)s(32,40,20)-c(40,40,20)-
s(40,48,20)c(32,40,20)s(16,48,12)+*
s(32,24,20)s(32,32,20)c(48,40,12)-*
s(24,40,20)s(16,48,12)-t(40,56,12)+
s(40,40,20)s(40,24,20)c(40,40,20)**
s(32,32,20)c(40,40,20)s(48,48,12)-*
s(32,24,28)c(40,32,20)*s(48,40,20)-
s(40,48,20)s(32,40,12)s(24,32,12)+-
c(48,16,12)t(32,32,28)+c(40,40,20)*
t(24,48,20)c(40,16,12)s(24,40,20)+*
t(48,16,12)t(16,32,12)s(32,24,20)++
s(24,16,20)t(48,48,12)+s(40,24,28)*
t(24,48,12)c(40,16,12)+c(32,32,20)+
c(32,24,20)s(32,16,20)t(24,16,12)--
s(40,32,28)s(24,48,12)c(40,24,20)+*
t(16,24,12)s(40,32,12)+s(32,40,28)*
t(24,40,20)t(24,48,20)c(16,32,12)+*
s(24,24,20)c(32,40,20)s(40,40,28)+-
c(24,40,20)t(24,32,20)t(24,56,12)+-
s(32,32,20)t(32,40,28)t(32,48,28)+*
c(48,24,12)s(24,40,28)s(40,48,20)*+
s(32,24,12)s(24,24,28)s(40,40,28)-+
s(24,32,28)s(32,40,28)*s(32,48,20)*
s(24,24,28)t(48,48,12)+c(48,24,12)+
s(16,16,20)c(32,32,12)+c(40,24,20)*
s(40,32,28)t(24,48,28)s(48,32,12)+*
s(24,40,28)s(24,32,12)s(40,48,12)+*
s(24,32,12)s(48,32,20)+t(32,40,12)-
s(40,24,20)s(32,48,20)s(16,48,12)--
s(40,16,20)s(16,16,20)+t(24,32,28)+
s(32,40,12)t(24,48,12)t(24,32,12)++
c(40,24,20)s(48,40,12)-t(32,32,28)*
s(16,40,20)s(32,40,28)s(48,32,20)+*
s(32,40,28)t(32,40,28)s(24,40,20)+-
t(24,24,12)s(32,32,12)t(24,48,20)++
s(32,32,28)s(16,40,20)t(24,48,28)+-
t(40,56,12)s(32,16,20)s(40,24,20)*+
s(16,16,20)t(24,40,28)+s(24,24,20)*
c(24,24,20)t(24,40,20)s(16,32,12)--
s(40,32,28)c(40,40,20)+t(32,48,28)-
c(24,48,12)t(16,32,12)s(48,48,12)++
t(24,32,28)s(32,40,20)*c(40,24,20)+
s(16,32,20)t(24,32,20)+c(40,40,12)-
c(24,40,20)t(32,48,12)-s(16,48,20)*
c(40,40,20)s(32,24,28)s(40,32,20)+*
s(40,48,20)c(40,32,20)t(24,48,20)--
c(32,24,20)s(16,24,12)-t(32,40,12)-
s(24,40,20)t(32,32,20)t(32,40,20)+*
s(48,16,20)s(40,16,12)s(48,24,12)+*
c(32,32,28)s(16,48,20)s(24,24,12)+*
t(32,40,20)s(48,24,20)c(32,32,28)*+
s(40,32,28)c(32,24,20)*s(24,40,12)+
s(24,32,28)s(40,40,28)t(32,40,28)**
t(24,40,20)s(24,32,20)*s(40,16,20)+
s(48,32,20)s(40,24,28)s(8,32,12)+*
s(48,16,20)s(8,40,12)+t(40,32,12)+
s(40,40,28)c(32,32,20)*s(24,24,12)+
t(40,16,12)c(24,40,12)+t(32,40,28)*
c(24,32,20)s(16,32,12)-s(24,40,20)*
s(32,48,12)t(32,32,28)+c(32,24,20)*
s(8,16,12)s(24,32,20)+s(40,24,28)-
t(24,40,28)s(16,16,20)s(16,40,12)++
c(24,32,20)s(40,32,28)t(40,32,20)-*
t(16,32,12)s(8,16,12)+s(40,32,28)+
s(24,16,20)s(40,32,20)-s(48,16,20)-
s(32,24,28)s(16,40,20)-c(32,32,20)*
s(48,24,20)s(32,16,20)s(48,40,12)+*
s(24,32,20)s(32,24,20)s(40,32,28)**
t(32,48,20)s(32,40,20)t(48,56,12)+*
t(40,56,12)c(40,32,20)s(40,40,28)*+
s(40,32,20)c(48,48,12)s(32,16,20)+*
c(40,16,12)c(16,40,12)+t(40,24,12)-
t(24,40,28)s(40,32,20)s(40,8,12)++
t(16,16,12)t(32,32,28)t(24,32,28)*+
c(24,32,20)t(32,16,12)-t(40,40,20)+
s(48,24,20)s(48,40,20)s(40,40,20)*-
t(24,32,28)s(40,40,28)*c(40,32,20)*
s(40,24,28)s(32,40,28)-c(32,32,12)+
c(32,40,12)c(40,40,20)s(24,40,20)-+
c(40,24,20)t(16,40,12)+s(40,40,12)-
s(24,24,28)c(32,40,20)s(40,8,12)+*
s(24,48,20)s(16,48,20)+t(32,48,20)*
s(40,16,20)t(48,56,12)+s(32,24,28)*
s(40,40,28)s(40,16,12)s(40,48,20)+-
c(24,32,20)s(16,40,12)t(40,40,20)++
s(32,48,20)t(16,56,12)-s(40,32,20)-
s(32,24,28)c(24,32,20)s(24,40,20)**
c(24,24,20)c(24,32,20)*t(32,24,20)*
c(32,24,20)t(24,16,12)t(32,48,28)+-
s(32,40,20)s(32,32,20)*c(16,32,12)-
t(24,48,28)c(40,32,20)s(40,40,20)*-
s(16,24,12)t(32,48,28)t(16,48,12)++
s(32,32,28)s(40,32,28)*s(24,40,28)-
t(32,48,12)s(32,48,20)c(24,48,12)-+
c(32,40,20)s(40,32,20)s(24,24,20)--
c(40,24,20)c(40,32,12)s(24,24,12)+*
s(32,40,28)s(16,24,12)-s(32,24,28)*
t(24,40,28)s(32,40,20)s(40,32,20)+*
t(24,24,20)s(32,24,28)s(40,40,20)*-
c(32,32,12)s(16,24,20)+s(32,32,28)*
c(40,24,12)t(32,32,28)+s(24,24,28)*
s(24,32,20)t(32,24,20)s(32,48,12)+-
s(40,40,28)c(24,40,20)t(24,40,28)**
c(24,24,20)t(40,32,20)-s(24,40,12)+
c(40,32,20)s(16,48,20)+s(24,40,28)-
s(16,16,20)s(32,40,28)s(24,40,28)*+
s(48,40,20)s(32,24,20)+s(48,48,20)*
t(32,32,12)s(40,8,12)+t(40,24,20)+
c(32,24,20)s(32,40,20)-s(32,24,20)*
c(32,24,20)s(16,32,12)+s(32,48,12)+
s(24,24,28)c(48,40,12)s(32,24,20)+*
s(40,40,12)c(24,24,12)+t(40,48,12)-
s(48,40,20)s(32,24,28)s(32,40,20)+*
s(32,16,20)s(40,32,28)*t(24,32,28)+
s(16,48,20)s(32,48,20)c(40,32,12)-*
s(48,48,20)c(24,40,20)t(32,32,28)*-
s(32,40,28)s(32,32,28)s(48,48,12)-*
s(32,32,28)s(24,24,28)*c(24,32,20)*
s(32,48,20)s(8,8,12)+c(32,40,20)+
t(40,48,12)s(24,32,20)c(24,24,20)*+
s(32,48,20)s(16,32,12)s(8,24,12)++
s(24,48,12)s(16,48,20)s(24,40,20)*+
s(40,40,20)s(40,48,20)*t(32,40,28)*
s(24,32,20)s(24,48,12)-t(24,24,12)-
s(16,16,20)c(32,32,20)s(24,32,28)*-
c(32,32,28)t(24,40,20)s(24,8,12)+*
c(32,32,20)c(32,24,20)s(48,32,20)--
t(32,24,12)s(16,32,12)+s(16,8,12)+
s(32,32,28)s(40,24,28)c(32,32,28)**
s(24,40,28)s(48,32,12)s(24,24,20)+-
s(32,40,20)s(48,40,20)s(32,16,20)+*
c(32,40,20)s(24,40,20)s(24,32,20)**
s(32,40,20)s(40,24,28)c(32,40,20)**
c(40,24,20)t(24,48,20)s(24,24,28)+-
s(40,24,28)t(24,32,28)s(24,40,28)**
s(16,16,20)t(48,32,12)+s(40,32,20)-
s(32,24,28)s(40,32,28)-s(40,40,28)+
c(48,40,12)s(40,24,20)c(40,40,20)*+
c(32,16,12)t(40,48,12)+s(24,32,12)+
s(16,16,12)s(16,48,20)+t(32,48,28)*
c(32,24,20)s(40,40,28)*s(24,24,28)*
c(24,40,20)s(24,32,20)c(24,24,20)**
s(40,48,20)c(24,32,12)-c(24,48,12)-
s(16,32,20)t(32,32,28)s(16,48,20)+*
s(32,24,28)s(24,24,20)s(40,16,20)--
t(32,40,28)s(16,40,20)-t(32,32,28)*
c(32,32,20)s(40,24,28)*s(32,48,20)-
s(8,48,12)s(40,40,20)+c(40,40,20)*
s(24,40,12)s(40,32,28)s(24,32,28)-+
s(32,24,20)s(24,40,28)+s(24,24,20)-
s(40,32,20)c(24,24,20)s(16,32,12)-*
s(40,40,28)s(24,24,28)*c(24,16,12)-
s(48,32,20)s(48,32,12)-s(24,32,28)+
s(40,24,28)s(24,8,12)-c(24,24,20)-
c(32,32,20)s(40,32,20)*t(24,40,12)+
t(32,56,12)s(48,24,12)t(40,32,12)++
c(24,24,20)s(32,40,12)-s(16,24,20)*
t(32,48,28)t(24,32,28)+s(8,40,12)-
s(48,40,20)s(24,48,20)t(40,24,12)+-
c(32,40,20)t(16,40,12)-t(40,32,20)+
s(40,40,20)c(40,32,20)+s(48,24,20)*
s(32,24,28)s(32,32,12)-c(32,24,20)*
t(32,40,28)t(24,32,20)s(40,40,28)+*
s(40,40,20)t(24,48,28)c(32,32,28)*-
s(40,24,20)s(24,24,20)t(40,48,12)+-
s(24,40,28)s(24,16,20)-t(24,48,28)*
s(24,40,20)t(32,40,12)s(24,40,12)+-
s(32,16,20)s(16,24,20)-c(48,32,12)-
s(40,40,28)t(24,48,28)t(32,24,20)+*
t(48,16,12)c(24,24,20)c(24,32,12)-+
s(24,32,28)t(32,40,28)t(32,40,12)-*
t(40,48,12)s(32,24,28)s(32,32,20)-+
s(40,40,28)s(24,32,20)*c(40,32,20)*
s(32,32,20)s(24,24,12)c(24,48,12)+*
s(40,32,28)c(16,16,12)+s(40,24,12)-
s(40,8,12)c(24,16,12)+s(32,40,28)-
t(24,40,28)t(32,40,28)t(32,48,28)**
t(24,24,20)s(24,24,12)s(40,24,20)+*
s(32,24,20)s(32,24,28)s(40,32,20)*+
c(24,40,20)s(32,16,20)s(32,48,12)+-
s(32,16,20)t(24,40,28)+c(40,48,12)-
c(32,24,20)s(32,32,28)t(40,40,20)-*
t(32,40,28)s(48,40,20)*t(32,48,12)+
t(48,32,12)s(24,24,28)s(8,40,12)-+
c(40,40,20)t(40,24,20)-s(40,32,20)+
c(24,24,20)s(24,32,28)*s(16,48,20)-
s(32,16,20)c(32,32,28)*s(40,24,20)*
t(32,48,28)t(24,48,28)c(16,48,12)--
s(32,32,20)s(32,40,28)s(24,24,28)**
s(24,40,28)s(32,32,20)-s(24,40,20)*
t(24,32,28)s(40,32,28)*s(32,40,20)*
t(48,24,12)s(16,48,20)s(24,32,28)*+
c(40,48,12)s(24,24,28)+t(32,40,20)-
s(24,24,28)s(32,32,20)*c(48,40,12)-
s(32,24,28)s(32,24,20)-s(32,48,20)+
t(24,32,28)t(24,40,28)c(32,32,20)*-
s(24,24,28)s(40,32,28)t(24,40,28)*-
t(32,32,28)s(40,32,28)*t(32,48,28)*
s(24,40,20)t(24,32,28)s(40,32,20)+*
c(32,24,12)c(48,48,12)+s(40,32,20)*
s(24,32,20)s(40,32,28)t(24,48,28)+*
t(24,40,28)s(40,40,20)+t(32,40,20)-
c(32,32,20)c(24,24,20)s(16,24,20)+*
t(40,48,20)s(24,48,12)-s(16,40,12)+
s(24,24,28)s(40,40,28)s(32,40,12)--
s(32,40,20)t(24,40,12)-s(40,32,12)-
c(16,16,12)t(24,48,28)s(16,40,20)*+
s(40,24,20)s(8,24,12)+t(16,56,12)+
s(40,40,20)t(32,48,28)s(32,40,28)**
c(16,48,12)s(48,40,12)+c(16,32,12)-
s(40,48,12)s(16,8,12)+t(32,40,20)-
s(16,16,12)s(40,24,20)s(40,40,28)++
t(24,24,20)t(32,24,20)s(16,40,20)+*
s(48,32,20)t(32,48,28)s(24,24,20)+-
s(24,40,20)c(40,32,20)s(32,32,28)**
c(32,32,20)c(32,40,20)s(32,48,12)--
s(24,32,20)c(24,24,20)*s(16,32,20)*
s(32,32,28)s(48,24,12)s(32,48,20)+*
t(32,40,28)c(32,24,20)t(24,40,28)*-
c(32,40,12)c(32,32,28)s(32,24,20)-+
s(32,40,20)c(32,32,28)s(16,40,20)-*
t(24,40,28)t(24,40,12)s(24,24,20)+*
s(24,40,28)s(24,16,20)t(40,40,12)+*
s(32,16,20)t(24,48,12)t(32,24,20)+*
t(32,40,28)c(16,32,12)+s(32,40,12)-
s(48,48,20)s(24,8,12)+s(40,48,20)*
s(24,16,20)s(24,32,28)*s(24,40,20)+
c(48,40,12)t(24,48,12)+s(48,24,12)+
t(16,16,12)c(16,48,12)+s(32,32,20)-
c(40,24,20)s(40,40,28)s(48,16,20)-*
s(48,40,20)t(32,48,28)c(24,40,20)*+
s(24,24,28)c(32,24,20)*c(40,24,20)*
s(32,32,20)c(24,24,20)s(40,24,12)-*
t(24,32,28)t(32,40,20)c(32,24,20)+*
t(48,56,12)t(32,32,28)t(32,48,28)*+
t(24,32,12)s(48,48,20)+t(24,24,20)+
s(24,40,20)t(40,24,20)s(48,16,20)+-
s(24,24,28)s(40,24,28)s(48,48,20)-*
s(32,24,28)t(24,24,20)s(16,40,20)+*
c(32,32,12)s(16,32,20)t(24,24,20)-+
c(32,40,20)s(24,32,20)*s(24,40,20)*
t(40,24,20)t(24,40,28)s(24,32,28)*+
s(32,32,28)t(24,32,28)*c(32,40,20)*
c(24,32,20)t(24,48,12)-c(40,40,20)*
s(32,48,20)s(24,32,12)-s(48,24,20)-
c(24,32,20)s(16,48,20)c(40,16,12)+*
s(32,32,28)c(48,32,12)-s(40,24,20)*
t(40,48,20)c(40,32,20)t(40,40,12)--
s(16,48,20)s(32,40,12)-t(32,56,12)-
s(32,32,28)t(24,24,20)-c(24,40,20)*
c(16,16,12)c(24,24,20)s(40,24,20)*+
c(32,24,20)c(24,24,20)*s(40,48,20)-
s(32,48,20)c(32,40,20)+s(24,24,28)*
s(24,24,20)s(32,32,28)t(24,40,28)*-
s(40,24,20)t(32,40,20)s(16,48,20)+-
c(32,32,28)s(24,48,12)-s(40,40,20)*
s(24,24,20)c(24,40,20)s(40,40,20)+*
s(32,8,12)t(40,48,20)+s(40,40,20)*
t(32,48,28)s(40,24,12)+s(32,32,28)*
c(24,40,12)s(48,32,20)c(40,32,12)-+
c(32,24,20)c(32,16,12)t(32,40,12)+*
c(48,40,12)s(40,16,20)c(40,40,20)-+
s(48,32,20)t(32,32,28)s(16,16,20)-*
s(16,48,20)t(40,40,12)+s(40,40,12)-
s(24,48,20)s(24,32,20)t(32,40,28)*-
t(16,24,12)t(24,48,20)c(24,24,20)-+
c(24,40,20)c(24,40,20)s(40,48,20)--
c(32,32,20)s(32,32,28)s(32,40,28)**
s(16,24,12)s(40,24,20)s(48,24,12)-+
s(40,24,20)s(32,8,12)-c(32,40,20)*
t(24,40,28)t(32,32,20)-c(40,48,12)+
c(24,32,20)s(32,32,20)t(32,16,12)-*
c(32,32,20)t(32,48,28)c(40,24,12)+-
c(24,32,20)t(16,32,12)-s(8,8,12)+
s(24,24,20)s(16,16,20)c(24,24,12)--
t(24,32,28)s(40,48,20)c(24,40,20)+*
t(24,32,20)t(32,32,28)*c(16,24,12)+
s(32,48,20)s(8,24,12)+s(24,32,20)*
s(32,24,20)s(32,32,20)*s(32,48,20)+
c(48,48,12)s(40,24,20)s(48,16,20)*+
s(16,48,20)t(32,32,28)s(16,32,12)-+
s(24,40,28)c(24,24,20)*s(32,32,28)*
s(32,32,28)s(48,48,20)+t(24,48,20)-
s(32,24,20)s(40,32,12)t(24,40,20)+*
s(24,32,28)s(16,24,20)+c(40,40,20)*
t(16,32,12)s(48,16,20)+t(32,48,20)+
t(24,24,20)c(32,48,12)+t(32,32,28)+
c(24,48,12)s(8,48,12)+s(40,24,20)+
c(24,32,20)c(40,32,20)c(32,40,20)**
s(40,32,28)t(16,40,12)t(32,48,12)+-
s(48,48,12)c(48,32,12)+s(40,32,20)*
s(16,40,20)c(48,40,12)s(24,32,28)+*
t(32,32,28)c(24,48,12)-c(40,40,20)*
s(24,48,20)c(40,24,12)+s(40,48,20)*
s(40,32,28)c(32,40,20)*t(16,40,12)+
c(32,40,20)s(40,32,20)*s(48,32,12)-
s(32,8,12)s(40,32,20)+c(48,48,12)+
s(32,32,28)s(32,24,28)s(40,24,20)-*
s(24,32,28)c(24,48,12)t(24,32,28)+-
s(8,40,12)s(48,24,20)t(32,40,20)++
t(32,40,28)c(40,32,20)t(32,32,28)**
s(48,24,20)s(40,32,28)c(24,32,20)*-
s(48,40,12)c(16,32,12)+t(32,48,12)+
c(16,24,12)s(48,8,12)+s(24,16,20)-
t(40,48,12)c(16,32,12)t(24,32,12)++
s(16,32,20)c(24,16,12)+t(24,48,20)+
s(24,32,28)c(24,48,12)c(16,16,12)+*
c(32,32,20)s(40,32,28)*s(24,32,28)*
s(40,24,28)s(40,24,12)-s(32,24,20)*
c(48,32,12)s(48,24,12)+s(48,16,20)+
s(32,40,28)s(40,24,20)*s(32,40,12)+
c(24,32,20)t(48,40,12)s(32,40,20)+*
s(32,40,28)t(48,32,12)t(32,48,28)+*
t(24,32,20)s(24,40,28)s(48,32,20)-*
t(32,32,28)c(16,48,12)-c(40,24,20)*
s(32,40,28)c(24,40,12)-s(40,40,28)*
s(48,40,20)s(32,48,12)-t(32,48,20)+
s(32,40,20)s(16,24,20)-t(40,48,12)-
c(32,32,20)c(32,16,12)t(24,40,20)+*
c(24,24,20)s(32,24,12)-t(32,24,20)+
s(32,24,28)s(24,24,12)-t(24,24,12)+
s(24,24,28)c(24,40,20)-s(16,16,20)*
t(32,24,20)t(32,32,28)t(40,32,12)-*
t(40,24,20)s(16,40,20)-t(32,16,12)-
t(48,24,12)t(40,40,20)+s(40,24,28)*
s(16,48,20)c(24,32,20)*t(16,32,12)+
t(24,40,28)c(40,40,20)*s(16,32,12)+
s(16,48,20)c(32,24,20)t(24,32,28)*-
t(32,48,12)c(32,32,12)+t(32,24,12)-
s(40,32,28)s(24,32,28)-t(16,16,12)+
s(40,48,20)s(40,40,28)s(48,40,12)-*
c(40,32,12)s(40,8,12)s(16,24,12)++
s(8,16,12)t(16,48,12)+c(40,24,20)+
c(40,24,20)t(48,48,12)+t(24,40,12)+
s(48,32,20)c(40,40,20)*c(16,48,12)+
s(32,32,28)s(32,40,28)*t(40,48,12)-
s(40,24,28)c(24,32,20)*t(24,40,28)*
s(24,40,20)s(24,32,28)s(24,24,12)-+
s(16,8,12)s(24,32,20)+t(32,40,28)-
s(48,24,20)s(48,32,20)*s(16,16,12)+
t(24,48,28)c(16,24,12)+t(24,40,28)*
s(24,48,20)c(24,40,20)*s(32,24,20)-
t(16,32,12)s(48,16,20)+c(32,32,28)*
s(24,32,28)c(32,24,20)t(32,32,28)+*
t(40,56,12)t(32,40,28)+t(32,48,20)*
s(24,24,28)s(24,32,20)t(40,24,20)-*
c(24,32,20)t(32,40,28)s(24,48,20)**
c(24,24,20)c(32,40,20)*c(24,40,20)*
s(48,32,12)s(48,8,12)+s(8,40,12)+
t(24,40,20)s(40,8,12)+t(40,24,20)-
t(24,32,20)c(32,32,20)c(32,24,20)**
c(40,40,20)c(32,24,20)s(24,16,12)-*
c(32,32,12)s(48,32,12)s(24,24,12)++
t(24,16,12)c(32,40,12)+t(16,16,12)+
c(32,32,20)s(32,48,20)-c(48,40,12)-
s(40,24,28)s(32,24,28)s(32,16,12)-*
c(32,24,20)t(40,24,12)-t(24,24,12)-
s(32,32,28)s(40,48,12)-s(40,32,20)*
c(40,32,20)t(24,48,28)-c(32,16,12)-
t(40,40,20)t(16,40,12)+t(32,40,28)*
s(32,24,28)s(40,32,20)t(32,48,28)--
s(8,48,12)t(40,40,20)s(16,48,20)-+
s(24,40,28)s(24,24,20)t(32,32,28)**
s(40,24,20)c(40,40,12)+c(24,32,20)*
s(40,40,28)s(24,32,28)+c(24,32,20)-
s(16,8,12)s(24,40,20)+s(40,32,20)-
s(40,40,20)s(48,48,20)*s(40,16,12)+
s(16,32,20)s(48,40,20)+c(32,40,20)*
c(16,40,12)c(24,16,12)+s(16,32,12)-
s(24,32,28)c(32,32,20)c(48,16,12)-*
t(24,32,28)s(8,24,12)+t(24,40,28)*
s(24,24,28)s(40,8,12)-s(16,16,12)-
s(48,32,20)s(40,32,20)*s(24,24,20)-
t(32,24,20)s(32,32,28)c(40,24,20)**
s(32,16,20)s(40,32,20)+s(32,32,28)*
c(24,40,20)c(32,24,12)-c(40,40,12)+
t(24,32,20)c(24,32,20)t(32,32,28)*+
t(40,40,12)s(24,16,12)+s(32,24,28)*
s(16,48,12)s(40,40,12)+c(40,48,12)+
s(40,40,20)s(40,48,20)c(24,40,20)+*
s(40,40,20)s(48,48,20)*c(32,16,12)+
c(16,16,12)t(32,32,28)+s(40,24,20)*
s(32,40,20)c(48,48,12)c(16,40,12)++
t(40,40,20)c(40,32,20)s(16,32,20)-*
s(16,32,12)c(24,16,12)+s(32,40,12)+
c(24,40,20)s(40,8,12)+s(40,48,20)-
s(40,40,28)t(32,48,28)*s(40,48,20)*
t(48,48,12)t(32,32,20)s(24,16,12)-+
s(24,40,28)t(16,24,12)-s(24,48,12)-
c(32,24,20)c(32,32,12)-s(32,40,28)+
t(32,40,28)s(16,48,20)s(16,32,20)--
s(48,40,20)t(32,24,20)-s(24,40,20)-
c(24,24,20)t(32,32,28)t(24,24,20)+*
s(48,32,20)t(32,40,20)s(32,32,20)*+
s(16,24,20)t(24,24,20)*t(32,40,20)+
c(16,48,12)c(16,32,12)+t(24,40,28)*
c(40,24,20)s(32,32,28)s(32,16,12)-*
t(24,48,28)t(40,48,20)s(32,24,20)+*
t(32,32,28)c(40,40,20)-s(16,32,12)+
s(24,40,28)c(32,40,20)c(40,24,20)**
t(16,40,12)c(40,40,20)+s(24,40,20)*
s(16,16,20)s(24,24,28)*t(48,40,12)+
c(24,24,12)t(32,40,28)+t(32,24,20)-
c(32,32,20)c(40,40,20)s(32,48,12)-*
s(48,32,20)s(48,40,20)t(24,32,28)-*
c(32,32,20)s(32,40,20)s(48,32,20)-*
c(32,32,20)s(48,8,12)t(40,24,12)+-
s(24,16,20)s(24,32,20)c(16,40,12)+-
c(24,40,20)t(40,40,20)-s(8,32,12)-
t(32,32,28)s(32,24,12)-s(40,32,20)*
s(16,40,20)s(16,32,20)t(40,48,20)+*
s(32,48,20)s(32,24,12)+s(32,32,20)*
s(16,32,20)t(32,32,20)s(16,16,20)--
s(32,32,28)s(16,40,20)t(40,40,20)+*
c(24,40,20)s(40,48,12)-s(32,48,20)-
c(32,32,28)c(24,48,12)-c(24,32,20)*
s(32,24,28)t(24,40,28)*s(32,48,12)+
c(48,24,12)t(32,40,20)s(32,48,20)*+
s(40,40,28)s(40,24,28)*s(32,40,12)-
t(48,32,12)c(24,32,20)+s(16,24,20)-
s(24,40,28)s(16,24,12)-s(40,32,12)-
t(32,40,20)c(40,32,20)c(24,40,20)**
s(48,32,20)s(48,40,20)*t(40,48,12)-
s(40,24,28)s(32,40,20)-s(48,16,12)-
s(40,24,28)s(48,16,12)-s(32,24,28)*
c(40,24,20)t(48,48,12)+s(32,24,20)*
c(32,40,20)t(16,16,12)+s(48,48,20)-
c(24,24,20)s(40,32,28)t(40,24,20)--
s(48,40,20)c(40,32,20)s(24,16,12)+*
s(24,32,28)c(24,24,20)*s(24,32,20)*
s(24,32,12)s(24,16,12)+c(16,16,12)+
s(24,40,20)s(32,40,20)c(24,24,12)-*
s(16,48,20)s(24,32,12)+s(8,24,12)+
s(48,32,20)t(40,40,20)s(24,24,20)+*
t(24,48,20)t(32,48,12)-s(32,48,12)+
s(32,24,28)t(40,32,12)c(16,40,12)+*
s(24,32,20)s(24,24,12)-t(32,32,28)*
s(24,16,20)s(32,32,12)-t(32,40,12)+
c(48,40,12)t(24,32,28)+s(16,16,20)-
c(32,40,20)s(32,32,20)*s(48,24,12)-
t(24,48,28)s(32,40,20)+s(48,32,20)-
c(32,32,20)t(40,32,20)-t(32,32,12)+
s(32,32,28)c(32,24,20)*s(40,32,12)-
t(24,40,28)c(40,40,20)c(24,40,20)**
t(40,24,20)c(24,40,20)+s(48,40,20)*
s(40,32,20)t(24,32,20)t(32,48,20)-+
s(16,48,20)c(48,24,12)+s(32,40,20)-
c(40,32,20)t(32,40,20)*s(8,8,12)+
c(32,24,20)t(32,40,28)s(40,40,28)*-
s(24,16,20)t(24,32,28)c(24,16,12)-+
s(40,16,20)s(32,24,20)s(40,40,28)*+
s(40,16,20)c(16,48,12)+s(40,40,28)*
s(40,24,20)c(24,16,12)-s(32,24,28)*
c(40,40,12)s(24,24,20)+s(40,24,20)-
s(32,40,20)s(24,40,28)s(16,48,20)-*
t(40,40,12)s(40,16,20)+t(32,32,28)*
s(40,40,28)t(32,56,12)s(8,40,12)++
c(24,24,20)c(40,32,20)s(16,48,20)+-
c(40,24,20)c(32,24,20)*s(48,16,20)+
t(16,40,12)c(40,48,12)+t(32,56,12)-
t(40,48,20)s(16,32,20)+s(24,40,20)*
t(24,48,28)s(24,48,20)t(16,32,12)+*
s(40,48,20)t(32,24,12)c(48,40,12)++
s(32,32,28)s(24,40,28)*c(16,40,12)+
c(40,40,12)c(24,32,12)s(8,8,12)++
s(48,8,12)s(16,48,12)c(24,32,20)++
c(32,40,20)t(32,32,28)*t(40,32,20)+
t(24,32,20)t(40,40,12)+t(24,40,12)-
c(40,32,20)s(48,32,20)-c(32,32,20)*
s(24,48,20)s(24,40,20)c(32,32,20)+*
s(16,24,20)s(40,32,28)c(40,24,20)*-
s(24,32,28)s(40,32,28)t(32,24,12)-*
s(40,40,28)s(32,40,28)t(24,32,20)*-
c(24,32,20)t(32,40,28)s(16,48,20)+*
t(32,16,12)s(48,8,12)t(32,40,28)++
t(32,48,28)s(32,40,20)*s(40,40,20)*
t(48,32,12)c(48,48,12)+t(24,48,20)+
c(24,40,20)s(24,24,20)t(32,56,12)+*
s(48,40,20)s(24,48,12)+t(16,48,12)-
s(16,32,20)t(24,32,20)*s(32,24,20)+
s(48,32,20)c(40,48,12)+s(24,32,28)-
s(32,32,28)s(24,40,28)-c(16,24,12)-
s(48,40,20)c(32,32,12)-s(40,40,28)*
c(24,48,12)c(32,16,12)+s(24,32,28)*
s(32,24,20)t(24,40,20)+t(24,16,12)-
c(32,16,12)s(24,24,12)+c(40,32,20)+
t(16,48,12)s(40,24,20)s(32,40,20)-+
s(8,24,12)s(32,48,20)s(40,32,28)*+
t(24,48,28)t(24,24,12)t(32,48,12)+-
s(24,40,28)s(24,24,28)t(24,48,12)+*
t(32,32,28)t(40,40,12)-s(24,40,12)-
c(32,40,20)t(24,24,20)-s(24,8,12)+
s(48,24,12)s(32,16,20)s(32,32,12)++
s(32,32,28)s(24,32,28)*c(24,48,12)-
s(24,16,20)t(24,24,20)s(40,40,12)+*
s(40,16,20)s(40,40,20)s(24,40,28)*+
s(48,24,20)s(24,16,20)s(32,32,28)+*
s(40,24,28)s(32,24,28)s(40,8,12)-*
s(16,24,20)t(24,32,28)+t(24,32,20)-
s(8,8,12)t(40,40,20)+t(32,40,28)*
s(24,40,28)c(32,40,20)*t(40,40,12)-
s(24,48,12)s(48,24,20)+s(32,48,20)-
c(16,16,12)s(16,48,20)s(16,40,12)-+
c(40,40,20)s(48,16,12)+s(48,40,20)-
c(32,40,20)t(48,48,12)-s(40,24,20)-
s(24,40,28)s(24,32,28)s(40,40,20)-*
s(40,32,28)s(48,24,20)t(32,48,28)-*
t(40,32,20)t(40,48,20)-t(24,16,12)+
t(32,40,20)t(24,32,12)+s(24,32,20)*
c(40,40,20)s(24,24,28)s(40,32,28)*-
s(16,40,20)s(24,24,20)t(40,40,12)+-
s(32,40,20)c(24,40,20)*c(24,32,20)*
c(24,32,20)c(24,24,12)-c(32,40,20)*
s(32,40,20)c(32,40,20)s(24,24,20)-*
t(32,56,12)t(32,32,28)t(32,40,20)*+
s(24,32,28)t(32,32,28)c(24,24,12)-+
c(40,40,20)s(24,32,28)*c(40,16,12)-
t(32,32,12)t(48,24,12)+t(32,48,28)+
s(8,40,12)s(48,32,20)+s(48,24,20)*
t(24,40,12)s(32,40,28)s(40,24,28)*+
c(24,48,12)c(40,40,20)s(40,32,12)-+
c(32,32,20)s(32,48,12)t(40,24,20)+*
s(16,48,20)t(32,48,28)s(40,24,20)-+
t(40,16,12)s(48,8,12)s(24,48,20)++
t(32,32,28)s(32,32,28)c(32,40,20)**
c(24,24,20)c(32,32,12)-s(48,16,20)-
t(16,24,12)c(40,16,12)+c(32,24,12)-
c(32,24,20)t(40,40,20)c(32,32,12)+*
s(48,32,20)c(40,24,20)s(32,32,20)*-
t(32,48,12)t(24,16,12)c(40,32,12)++
s(24,40,28)s(40,16,20)s(40,48,20)+*
t(16,16,12)c(40,24,20)t(32,32,20)-+
s(40,40,28)t(24,48,28)s(8,32,12)+*
s(48,16,20)s(40,16,20)c(24,40,12)+*
s(32,40,20)c(32,32,20)*s(48,16,20)+
c(24,40,20)t(32,40,20)t(32,24,12)+*
s(32,40,20)s(40,24,28)*t(32,40,12)+
s(48,32,12)s(16,40,12)+s(32,40,28)*
s(32,32,28)t(16,16,12)s(48,32,20)+*
t(24,48,20)s(16,32,20)s(24,24,20)--
s(32,24,20)s(48,24,12)-s(32,16,20)*
c(40,32,20)s(32,24,28)c(24,40,12)-+
c(24,24,20)s(16,8,12)c(16,24,12)+-
c(16,16,12)c(40,32,20)+s(48,40,20)*
t(40,56,12)t(24,32,20)+c(32,32,28)*
s(24,24,28)c(32,32,20)+t(32,48,28)-
c(40,24,20)c(32,40,12)-c(24,32,20)-
s(48,32,20)t(24,40,20)s(16,24,20)++
s(40,40,20)c(24,40,12)-t(32,40,28)*
c(40,32,20)s(40,24,28)t(32,32,12)-*
s(40,40,28)s(24,40,28)s(24,48,20)--
s(32,24,28)t(32,32,28)*t(24,32,20)*
s(32,32,20)s(24,16,20)-t(24,48,20)+
s(16,40,20)t(48,16,12)+s(40,32,28)+
s(8,48,12)t(32,32,28)+s(32,16,20)*
s(24,32,20)s(40,24,28)t(24,32,12)--
s(48,24,20)s(32,48,20)+c(40,24,20)*
s(32,48,20)t(24,48,28)*c(32,24,20)+
s(40,24,28)t(24,56,12)+t(24,48,20)-
s(32,32,20)c(40,24,20)*s(24,32,12)-
s(16,32,20)c(32,32,28)t(40,32,20)-+
s(40,48,12)t(40,24,20)+s(32,24,12)+
c(32,32,28)s(40,24,28)s(32,48,20)-*
s(16,48,20)t(24,40,28)s(8,40,12)+*
s(24,40,20)s(32,8,12)+t(24,48,28)-
s(16,32,20)s(32,40,28)s(32,24,28)**
s(32,32,28)c(32,32,28)t(32,24,20)-+
s(48,16,12)s(24,48,20)+s(32,48,20)*
c(32,32,20)s(24,24,28)s(40,16,12)-*
s(24,32,28)s(24,24,28)t(32,48,28)-*
c(24,24,20)s(40,24,20)s(32,40,20)+*
s(40,48,20)c(32,24,20)t(24,24,20)--
s(48,40,20)s(32,48,20)c(16,40,12)--
c(40,32,20)s(48,16,20)*s(24,8,12)+
c(32,32,20)s(48,24,20)s(40,48,12)++
t(32,32,28)s(40,40,28)t(40,24,20)-*
c(40,40,20)s(40,24,28)*t(40,48,20)-
s(32,24,20)t(40,56,12)+c(24,32,20)-
t(32,48,28)t(16,16,12)+s(16,48,20)+
t(24,32,20)c(48,16,12)+s(40,32,20)*
c(16,40,12)s(24,40,28)t(24,24,20)*+
c(32,32,20)c(32,32,20)t(24,24,20)*-
t(16,56,12)s(40,32,28)+c(32,32,20)*
c(40,32,20)s(48,24,20)t(32,48,12)++
s(40,40,20)t(32,40,20)-t(16,48,12)+
t(32,48,28)s(24,24,20)-t(24,48,20)*
c(48,48,12)t(24,48,20)+s(40,40,28)*
s(24,40,28)s(32,40,28)*s(40,8,12)+
s(32,32,20)s(40,40,20)c(40,32,20)**
t(32,48,20)s(40,48,20)*s(32,24,28)+
s(32,24,28)s(32,24,20)c(16,32,12)--
c(32,40,20)t(24,40,20)t(32,32,12)-*
s(32,48,20)s(40,16,12)+s(48,8,12)+
c(40,32,20)c(40,40,20)*t(48,40,12)-
c(24,40,20)s(32,32,20)*t(32,16,12)+
s(48,24,20)s(48,8,12)+c(32,24,20)-
c(32,24,20)s(32,16,20)*s(24,32,28)*
s(48,32,12)s(48,16,20)+s(48,32,20)+
c(32,24,20)s(24,24,20)s(16,40,12)-*
c(32,40,20)s(48,16,20)+c(40,32,20)*
s(24,32,20)s(24,40,20)t(40,40,20)-*
t(48,56,12)s(32,40,20)t(32,32,20)*+
s(8,40,12)t(40,32,20)s(16,40,20)-+
s(24,32,28)s(16,48,20)c(24,40,20)**
t(24,40,28)c(24,48,12)t(40,24,20)+*
s(48,48,12)s(48,8,12)+c(32,32,12)+
s(24,32,20)c(16,16,12)c(40,24,20)+*
s(16,32,12)c(32,16,12)+s(24,24,20)*
c(32,24,20)s(48,16,12)-s(40,40,28)*
s(48,16,20)t(40,48,12)+s(16,32,12)+
s(40,32,12)t(32,48,28)s(16,48,20)++
c(40,32,12)c(40,48,12)+s(32,32,20)*
s(40,40,28)s(24,40,20)-t(32,56,12)+
c(16,16,12)t(48,40,12)+t(32,32,28)-
t(32,16,12)s(16,8,12)+c(24,24,12)+
t(24,48,28)s(24,24,20)-s(16,32,20)-
t(24,40,28)t(32,48,20)-t(16,24,12)-
t(24,32,28)c(24,32,20)c(16,32,12)-*
s(24,32,20)s(32,48,20)t(24,40,28)+*
c(40,32,20)t(24,40,28)-t(24,24,12)+
s(24,40,28)t(32,32,28)*s(16,40,20)+
s(32,24,28)c(48,48,12)s(24,40,28)++
c(32,40,12)s(16,32,12)+s(32,40,12)-
c(40,40,20)t(24,48,28)*c(24,40,20)*
s(24,16,20)s(48,40,12)c(24,32,20)+*
t(32,48,12)s(16,24,20)c(32,32,12)-+
s(40,48,20)t(40,40,20)s(32,16,20)--
s(48,16,12)s(24,40,28)+s(32,16,20)*
c(24,24,12)c(32,24,12)+s(40,8,12)+
s(24,24,20)c(32,32,28)c(32,40,20)-*
t(32,40,28)s(16,24,20)+c(40,40,20)*
s(24,40,28)s(8,24,12)s(24,48,12)+*
s(40,32,20)c(16,32,12)s(48,8,12)++
s(40,16,20)c(16,40,12)+c(40,32,20)*
c(40,24,20)c(40,32,20)*t(40,32,20)-
s(16,40,20)s(24,40,20)*s(16,24,12)-
s(24,40,20)s(40,32,28)t(40,40,12)-+
s(16,24,20)s(16,40,12)-s(32,24,28)*
s(40,48,20)c(40,40,12)-s(40,40,12)+
s(24,24,28)t(24,40,20)t(32,32,20)+*
t(24,56,12)s(16,16,20)+s(24,40,28)*
s(32,48,20)t(24,40,28)s(24,32,20)-+
c(32,40,20)t(48,40,12)s(32,40,12)+-
c(40,48,12)s(32,24,20)+t(24,32,28)*
s(24,48,12)s(48,16,20)+s(16,32,20)-
c(32,32,28)t(32,48,28)-s(8,24,12)-
t(48,24,12)c(24,40,12)t(48,56,12)++
s(48,24,20)s(40,32,12)-c(48,40,12)-
t(24,48,28)s(24,48,20)*s(40,24,20)+
c(40,32,20)c(32,32,12)-s(24,40,20)-
s(32,32,20)c(24,32,20)s(24,40,20)**
c(32,32,20)c(24,16,12)s(40,32,20)+*
s(40,40,20)t(40,40,20)c(24,32,12)+*
s(40,24,12)t(24,32,20)t(32,40,20)++
s(24,32,20)c(16,48,12)-t(24,24,12)-
s(24,24,28)s(48,32,20)c(32,24,12)+-
s(8,24,12)c(32,32,20)+t(24,40,20)*
c(40,24,20)c(24,24,20)*c(16,24,12)-
s(24,32,28)s(40,40,12)-c(16,48,12)-
c(40,40,20)s(48,40,12)-s(24,16,20)-
t(40,16,12)s(24,40,28)+t(40,24,12)-
s(8,24,12)t(16,16,12)+s(8,48,12)+
s(40,40,20)s(48,32,20)t(40,16,12)--
s(24,40,28)s(24,24,20)-s(8,32,12)-
c(32,16,12)t(24,56,12)+s(32,40,12)+
s(16,24,20)t(24,48,12)+s(24,48,20)+
c(32,32,28)s(24,48,20)*c(24,32,20)*
s(16,24,20)t(24,32,28)s(32,24,28)**
t(40,24,20)s(40,40,28)*s(48,32,12)+
s(48,48,20)s(40,48,20)c(32,24,12)+*
s(32,32,20)c(16,24,12)-t(16,40,12)+
c(32,24,20)t(32,16,12)-c(24,32,20)*
t(24,32,12)s(16,48,20)+s(24,40,20)+
s(24,24,28)s(32,24,20)s(40,48,20)+*
s(24,40,28)t(24,40,12)c(48,16,12)+-
t(32,32,20)s(24,40,28)c(24,24,20)**
t(24,48,20)c(16,16,12)+c(32,32,28)*
c(24,24,20)s(32,40,28)t(24,40,28)**
s(24,32,28)t(24,48,20)s(32,48,20)*-
s(16,32,20)c(24,32,20)*c(32,40,20)+
t(40,24,20)s(24,16,12)+t(40,48,20)+
s(32,40,28)t(32,48,28)*c(40,40,20)*
t(32,48,28)c(32,16,12)t(32,40,28)+*
s(48,40,12)s(8,24,12)s(16,32,12)++
c(40,32,12)c(32,24,12)+s(32,24,20)*
s(16,16,20)s(24,40,20)c(32,32,20)*-
c(32,32,20)t(40,16,12)t(40,40,20)+*
c(24,40,20)s(32,40,20)+s(16,40,12)-
c(40,32,20)t(16,56,12)t(40,40,20)+-
c(24,24,20)t(32,32,12)-t(24,24,20)*
c(40,32,20)s(48,48,20)-s(24,32,12)+
c(40,40,12)t(24,24,12)+t(16,24,12)-
t(32,56,12)c(40,16,12)+s(32,48,20)-
s(32,40,28)t(24,48,28)s(40,24,28)--
s(48,16,20)c(24,48,12)+t(32,32,20)+
s(48,16,20)s(48,24,20)*t(32,40,12)+
c(24,40,20)s(32,24,20)*t(24,40,12)+
t(24,24,20)s(24,48,20)+s(40,32,28)-
s(40,40,28)s(32,48,20)s(24,40,20)--
c(24,32,20)s(24,40,28)*s(32,48,20)*
t(24,40,20)s(40,24,20)s(24,24,20)*+
s(16,48,20)s(40,24,12)+c(16,32,12)+
s(32,40,28)c(24,40,20)t(24,32,28)*-
t(24,48,12)t(32,32,20)s(48,48,20)-+
c(32,40,20)s(24,24,28)*s(32,24,20)*
s(48,16,12)c(40,40,20)t(24,40,20)++
s(40,48,20)c(40,32,20)s(32,40,28)**
t(24,32,12)t(40,48,12)+t(32,48,12)+
t(24,40,28)s(40,40,28)t(24,40,20)-+
s(40,24,28)s(32,32,12)-s(32,24,12)-
s(24,40,28)s(24,24,28)c(32,24,20)**
c(24,24,20)c(24,24,12)s(40,24,20)+*
s(40,32,28)c(24,16,12)-t(24,40,20)-
c(24,24,12)c(40,40,20)+s(16,24,20)-
s(24,24,20)s(32,8,12)-s(24,40,20)*
t(32,32,20)s(16,16,20)s(16,32,12)--
s(8,48,12)t(32,32,28)+c(32,24,20)*
s(24,40,20)t(16,40,12)-s(40,32,28)*
t(48,40,12)s(8,40,12)+t(32,48,28)-
s(24,40,20)s(32,32,28)*s(32,32,12)-
c(32,32,20)t(16,32,12)-c(24,40,20)-
c(48,40,12)s(16,40,20)s(32,40,20)-+
t(32,32,28)s(16,24,20)c(32,32,20)+*
t(24,48,12)c(24,32,20)c(40,40,20)*+
c(32,32,28)s(48,24,20)-c(40,32,20)*
t(32,40,20)c(32,24,20)s(40,32,28)*+
t(32,32,28)s(24,24,20)c(40,24,20)*-
c(32,32,28)s(24,40,20)s(40,24,28)--
s(24,32,20)s(48,24,12)+s(32,32,20)*
s(48,32,12)c(16,16,12)+t(16,24,12)-
s(40,16,20)s(24,40,28)-s(40,40,20)+
s(48,32,20)t(16,16,12)+c(24,24,20)-
c(32,40,12)s(32,32,28)s(48,40,20)*+
c(24,40,20)t(32,48,28)*s(24,32,12)-
c(24,32,20)t(32,40,28)c(40,40,20)**
t(32,40,20)c(40,24,20)+s(24,16,12)-
s(16,48,12)s(48,40,20)+s(40,48,20)*
s(32,24,28)t(16,16,12)s(40,16,12)+-
t(48,56,12)s(32,40,20)+s(8,32,12)+
t(24,40,28)s(24,32,20)s(24,24,20)*-
s(32,32,12)t(24,48,20)c(24,24,20)-+
s(24,32,20)c(16,16,12)-s(48,48,20)+
s(48,16,20)s(40,32,28)t(32,48,20)+*
s(40,40,20)t(32,24,12)+s(48,48,20)-
t(24,24,20)s(40,40,20)+t(24,32,20)*
s(24,24,28)s(24,40,28)*c(32,24,12)-
c(32,40,20)s(48,24,12)+s(24,32,28)*
s(40,24,20)t(40,40,20)+c(24,32,20)-
c(32,48,12)t(32,24,12)+s(40,40,20)*
t(32,40,28)c(40,40,20)*t(40,40,12)-
s(48,24,20)s(32,32,28)+t(32,40,28)*
c(32,32,20)s(8,32,12)s(32,32,20)+*
t(24,40,28)t(40,48,20)+s(32,32,20)*
c(32,40,20)s(40,32,20)t(40,40,12)-+
s(40,32,28)s(48,16,12)-s(32,32,28)*
t(32,40,20)c(24,32,20)s(40,24,20)+*
s(24,8,12)s(24,40,12)+c(40,24,12)+
t(32,48,28)t(24,48,28)t(48,56,12)++
t(16,32,12)s(40,32,20)s(24,24,20)-+
s(40,24,20)s(48,40,12)-c(40,32,12)-
s(48,32,20)s(24,48,20)s(48,40,20)+*
s(16,32,12)s(40,32,20)+s(32,40,20)*
s(32,24,20)t(32,48,28)t(40,24,20)+*
s(32,32,28)c(32,40,20)c(24,24,12)-*
s(48,16,20)s(32,32,12)t(48,56,12)++
s(48,48,20)s(24,40,28)-s(32,32,20)+
t(24,16,12)s(16,48,20)s(32,32,28)-+
s(40,24,20)s(24,40,12)+s(40,16,20)*
c(40,32,20)s(40,24,12)-s(48,32,12)-
s(32,32,28)s(40,40,20)t(48,32,12)-*
t(40,16,12)s(32,40,12)+s(24,32,28)*
s(40,32,12)t(24,40,28)+s(16,32,20)-
c(24,32,20)s(40,48,20)s(24,48,20)+*
t(32,48,20)c(32,32,12)+t(40,24,12)-
c(40,32,20)s(40,24,20)*s(32,32,20)*
s(32,24,12)s(8,32,12)+c(32,40,20)+
s(32,32,28)c(16,40,12)-c(40,40,20)*
t(32,16,12)s(16,32,12)+s(8,40,12)-
s(16,48,20)t(32,32,12)+c(32,32,28)*
s(40,40,28)s(32,32,28)s(24,32,12)--
s(32,40,28)s(32,24,20)t(24,32,28)**
s(32,32,20)s(24,32,20)+s(48,48,12)+
s(24,16,20)c(24,24,20)+s(32,32,28)-
t(32,48,20)t(24,48,12)+t(32,32,12)-
s(16,40,20)s(16,48,20)+t(24,32,20)+
s(32,16,20)c(40,32,20)s(40,40,12)-+
s(24,32,20)s(32,24,28)*t(24,24,20)*
s(32,32,20)s(24,48,20)+c(24,32,20)-
s(32,40,28)t(24,32,28)-t(32,48,12)-
s(24,16,20)s(24,32,20)s(24,24,20)**
c(32,40,12)c(24,24,20)+s(24,48,12)-
c(24,40,20)s(24,24,20)s(32,40,28)**
c(40,32,20)s(32,24,12)s(8,16,12)+-
s(40,24,20)c(32,24,12)-t(40,16,12)+
s(40,40,20)s(40,40,28)s(32,48,20)*-
t(16,16,12)t(24,24,20)+s(24,16,20)*
s(16,32,20)t(40,24,12)s(24,40,20)+-
t(32,40,28)s(32,32,20)t(32,48,28)--
s(32,24,28)s(8,48,12)+s(32,40,20)*
s(32,8,12)c(24,24,20)s(32,16,20)*+
t(32,48,12)t(32,32,28)c(40,24,20)*+
t(24,48,28)t(32,40,12)t(24,32,12)+-
s(24,40,28)s(40,48,20)-s(24,8,12)+
s(24,40,20)t(16,56,12)+s(24,24,20)*
s(48,24,20)s(48,32,12)-s(32,16,12)-
s(24,24,20)s(16,24,20)s(40,48,12)+*
s(32,24,28)c(24,24,20)c(24,40,12)-*
s(24,32,28)t(40,48,12)c(40,40,12)+-
s(24,40,20)s(40,40,28)*s(48,24,12)+
s(32,24,28)s(48,40,20)-t(24,48,28)-
c(16,32,12)s(32,16,20)+s(40,40,20)-
s(24,40,28)c(32,24,20)*t(24,40,28)*
s(32,32,20)c(32,32,12)s(32,48,12)+*
c(40,16,12)t(48,48,12)+s(40,24,12)+
s(24,48,20)s(24,32,20)s(24,40,20)+*
t(40,48,12)s(24,24,20)+s(16,40,12)-
c(24,32,20)t(40,16,12)+s(32,32,20)*
s(16,48,20)s(32,40,28)+s(16,32,20)*
s(40,40,20)s(48,16,20)s(40,48,12)+*
c(24,32,20)s(24,40,28)*c(32,24,20)*
s(16,40,20)s(32,48,20)s(40,40,12)--
t(48,48,12)c(32,40,12)+s(32,40,20)*
s(40,32,28)s(24,32,28)c(32,40,20)**
s(48,16,20)s(48,32,20)c(32,24,20)*+
c(40,40,20)t(32,40,28)*t(24,48,20)-
c(40,40,12)c(32,48,12)+c(24,32,12)+
s(40,32,28)s(16,40,20)-t(40,40,20)*
s(40,40,28)s(32,24,20)c(16,16,12)-+
s(24,40,28)s(48,48,20)+t(32,48,28)-
c(32,32,20)s(24,40,20)s(8,16,12)+*
s(8,32,12)t(24,32,20)+c(32,32,20)*
s(32,32,20)c(32,40,12)s(16,24,20)++
t(40,24,12)t(32,32,12)+c(32,48,12)+
c(32,40,20)t(32,24,20)-c(16,32,12)-
s(24,8,12)s(40,40,28)+s(48,16,20)-
s(16,32,12)c(32,40,20)s(24,40,12)-+
s(16,48,20)c(32,32,12)+t(16,16,12)+
s(24,32,28)c(40,48,12)-s(32,40,20)*
c(32,40,20)t(32,32,28)*s(32,32,12)-
s(24,24,28)s(40,40,28)s(40,32,28)**
s(24,40,28)c(24,32,12)-s(32,32,28)*
s(24,40,28)c(40,40,20)c(32,40,20)**
s(16,32,20)t(40,16,12)+t(32,40,20)-
s(40,48,20)s(24,24,20)c(24,32,20)+-
s(40,24,20)t(32,48,20)s(24,32,12)++
s(24,16,12)t(16,48,12)+s(40,48,20)+
t(40,32,20)t(24,24,20)t(48,48,12)++
t(40,56,12)s(32,24,20)+s(16,32,20)-
s(24,48,20)c(32,32,20)-s(48,48,12)+
s(48,16,12)s(48,24,20)s(40,40,28)*+
s(32,32,28)s(16,48,20)-s(16,24,12)-
t(32,48,28)c(24,40,20)+s(24,32,28)*
t(24,40,12)t(40,32,20)+s(32,32,20)*
c(40,24,20)s(40,32,28)*s(48,32,20)*
t(24,48,28)t(24,40,20)s(32,24,28)+*
s(32,16,20)s(16,32,12)+c(32,32,28)*
s(24,24,12)t(32,40,28)c(32,24,20)*+
s(32,40,20)t(24,40,28)*t(32,32,28)*
t(24,32,28)c(40,32,20)t(32,40,20)--
t(24,16,12)s(40,16,20)s(32,24,20)*+
s(24,24,28)s(48,32,12)c(16,16,12)+*
t(16,24,12)s(32,32,20)t(40,40,20)++
s(16,16,20)t(40,40,12)s(24,48,20)++
s(32,40,28)c(24,32,20)t(24,32,28)*-
s(40,8,12)c(32,32,20)c(48,48,12)-+
s(48,32,12)s(48,16,12)+c(48,40,12)+
s(40,32,28)s(40,24,28)s(24,24,28)--
s(16,40,12)s(48,32,20)+s(16,32,20)-
s(24,40,12)s(40,48,20)+t(40,40,20)*
t(40,16,12)s(24,16,20)c(24,24,20)*+
c(32,40,20)c(48,24,12)s(32,32,12)+-
s(16,24,12)c(24,40,12)+t(24,24,12)-
s(48,24,20)s(8,32,12)+s(32,16,20)-
c(24,40,20)s(40,32,20)c(32,40,12)++
c(40,48,12)c(24,32,12)+t(32,40,28)*
t(40,24,20)s(40,40,28)*t(32,48,20)+
s(16,16,12)c(32,24,20)+c(24,24,20)+
s(32,24,20)t(16,32,12)-t(24,56,12)+
c(32,40,20)s(32,40,28)c(24,32,12)-*
s(40,16,20)s(24,40,20)s(32,32,28)*+
s(48,8,12)s(16,48,20)c(40,40,20)++
s(24,16,12)t(40,40,12)s(8,40,12)++
c(32,24,20)c(32,40,12)-s(40,8,12)-
c(40,24,20)s(40,8,12)-s(32,32,28)*
s(48,40,20)s(32,32,20)-t(40,24,20)-
s(40,48,12)t(24,24,20)s(16,24,20)*+
s(40,48,20)c(40,32,20)c(24,48,12)--
s(24,32,20)c(32,24,12)s(8,24,12)+*
t(32,48,28)t(32,48,12)t(24,48,20)+*
t(32,48,28)s(32,40,20)*s(40,24,20)-
s(8,24,12)s(40,24,20)+c(40,40,20)-
c(32,32,28)s(40,40,28)t(24,48,12)-*
s(24,32,20)s(16,8,12)+s(40,32,28)-
s(48,8,12)s(16,8,12)+s(24,24,20)-
c(24,40,20)t(24,40,28)*s(24,24,20)-
t(24,16,12)s(40,24,12)+t(40,40,20)-
s(24,16,20)c(24,24,12)-s(16,24,12)+
c(32,40,20)t(32,40,28)*s(16,40,12)-
c(40,24,20)t(48,40,12)-c(24,24,20)*
c(24,40,20)t(48,32,12)+s(40,48,20)-
s(40,40,12)s(48,32,20)s(40,24,20)*+
s(32,40,28)t(40,48,12)-c(32,24,20)*
c(32,40,20)c(16,40,12)-c(24,40,20)*
s(40,40,20)c(32,32,20)t(32,48,28)*-
s(24,40,20)s(32,40,20)s(32,48,20)*-
t(32,32,20)s(48,48,20)s(40,40,20)*-
c(48,40,12)s(40,8,12)+t(48,32,12)-
s(24,40,28)s(40,32,28)s(24,48,12)-*
s(24,24,12)c(48,16,12)+t(48,16,12)-
c(24,40,20)s(24,32,20)*t(24,56,12)+
s(16,32,20)c(40,24,20)s(48,48,20)++
c(40,32,12)t(24,32,28)+c(32,32,20)*
c(24,16,12)s(40,16,12)+t(24,24,12)+
c(16,48,12)c(40,40,20)+s(48,24,12)-
c(40,24,20)s(32,32,20)-t(24,32,12)+
t(32,32,28)s(24,32,12)-s(8,40,12)+
s(16,24,20)t(32,48,12)s(24,16,12)+-
s(48,24,20)s(40,16,12)-s(24,32,28)+
t(40,48,20)s(8,24,12)+s(16,16,12)-
s(32,32,20)t(32,40,12)-s(40,32,20)*
s(24,32,28)s(40,40,28)*t(24,32,28)*
s(48,24,20)s(40,32,20)+t(16,32,12)+
s(32,40,20)c(32,32,20)c(16,16,12)-*
t(40,48,20)s(48,40,20)+t(40,40,20)*
s(48,8,12)c(40,32,12)+s(48,24,20)*
c(24,24,12)c(40,24,20)c(40,16,12)-+
s(32,48,20)s(32,32,20)s(16,40,20)-+
c(24,40,12)c(16,16,12)+t(24,48,20)+
s(24,40,28)c(40,32,20)c(40,40,12)-+
s(24,24,20)s(8,16,12)+s(48,16,20)-
t(32,40,28)t(24,48,28)t(32,16,12)+*
s(24,32,20)t(32,40,28)*t(40,32,12)-
t(32,40,28)s(48,48,20)c(32,32,20)+*
s(32,48,20)s(40,32,28)*t(24,40,28)*
c(32,32,12)t(32,56,12)+s(24,16,20)-
c(24,40,12)s(8,8,12)+s(32,32,28)*
s(24,32,28)s(8,16,12)s(32,16,20)+*
c(40,40,20)t(40,40,20)-t(40,32,12)+
s(40,32,20)c(32,32,28)s(40,48,20)*+
s(32,40,28)c(32,24,20)c(48,32,12)+*
s(32,32,20)s(16,32,12)s(40,48,20)+*
c(32,24,20)c(32,16,12)-t(24,48,28)-
s(24,32,28)c(40,16,12)s(48,48,20)+*
t(24,32,20)t(16,56,12)+c(32,32,20)*
c(24,32,20)t(24,24,12)c(40,40,20)+*
s(48,32,20)s(32,40,12)s(16,16,20)+-
t(24,24,12)c(40,32,20)s(40,48,12)-+
s(48,40,20)s(16,32,20)+s(40,40,20)*
s(40,24,28)t(48,24,12)-s(32,32,28)*
c(32,40,20)s(16,40,20)s(16,24,20)+*
c(24,32,20)c(40,40,20)s(40,32,28)+-
s(40,32,12)t(48,40,12)+c(32,32,20)*
c(24,24,20)s(24,16,20)*s(8,16,12)-
s(24,32,28)c(32,16,12)-s(16,48,20)*
s(24,32,28)t(24,32,28)t(32,32,20)--
c(32,24,20)s(32,32,28)c(40,40,20)*-
t(24,48,28)t(32,48,28)*s(40,40,20)+
t(32,48,20)c(40,32,12)+c(40,32,20)*
s(32,48,20)s(32,40,20)*s(40,24,20)-
c(24,32,20)c(24,40,20)t(32,32,20)-*
c(32,24,20)t(24,32,28)t(32,24,12)-*
s(32,48,12)s(8,40,12)+s(24,48,20)*
c(48,24,12)s(32,24,20)+s(32,32,28)*
s(48,16,20)s(48,32,20)s(40,48,12)-*
c(32,32,28)c(40,24,20)-t(32,48,20)*
s(32,32,28)t(32,48,20)s(40,32,28)+*
c(40,40,20)t(40,40,12)-s(24,40,12)-
s(40,16,20)s(48,24,12)s(8,48,12)+-
s(32,24,12)s(16,32,12)+s(32,32,28)*
s(24,32,28)s(40,32,28)c(32,40,20)*+
s(48,24,20)t(24,48,12)+s(40,24,20)*
c(40,32,20)t(32,48,28)s(40,32,28)**
t(40,48,20)t(16,16,12)s(32,32,12)++
s(32,40,28)s(48,24,12)t(32,32,12)+-
t(32,40,12)t(24,40,20)+t(32,32,28)+
c(32,32,20)s(40,24,20)*s(48,24,12)-
s(24,40,28)s(24,32,20)c(40,32,20)*-
t(24,48,28)t(32,48,28)c(40,32,12)-*
c(40,32,20)c(40,32,20)s(48,40,20)*-
c(24,32,20)t(24,24,20)-c(24,24,20)*
s(40,24,28)c(24,40,20)s(40,32,20)*-
c(32,40,20)s(40,32,28)*t(40,56,12)+
s(48,32,20)s(32,48,20)-c(40,16,12)-
c(32,40,20)s(24,40,28)*t(24,32,20)*
s(16,32,20)s(32,24,28)*s(24,24,20)*
c(48,24,12)c(32,40,12)+t(32,40,20)-
c(40,32,20)s(24,24,28)*c(24,40,12)-
t(24,40,28)c(24,40,20)+s(40,32,28)*
c(40,24,20)c(40,32,20)t(48,32,12)-*
c(24,40,20)c(24,32,20)s(24,24,20)**
t(24,40,28)t(32,48,20)t(24,40,28)*-
t(24,40,28)s(40,16,12)+t(32,32,20)-
s(32,24,20)s(24,16,12)-s(32,40,20)*
t(24,32,28)s(16,24,20)s(24,32,28)*-
s(24,48,20)t(24,32,12)-c(24,40,20)*
t(32,24,20)s(40,32,28)s(24,24,28)**
t(32,48,28)t(16,48,12)+s(24,24,28)-
s(32,40,20)t(24,48,20)s(32,24,28)--
s(40,48,20)s(24,40,12)-s(16,40,12)+
s(24,24,28)t(24,24,20)c(40,40,20)+-
s(32,16,20)t(24,48,20)s(24,16,20)+*
s(32,32,28)s(32,16,20)c(24,40,20)--
t(40,24,20)t(32,32,28)c(32,32,12)--
s(40,40,20)s(32,32,12)t(16,40,12)+-
c(40,24,20)t(32,32,28)*t(48,48,12)+
t(16,24,12)s(40,16,20)+s(48,16,20)*
t(40,16,12)t(24,48,28)t(24,40,12)-+
s(40,24,28)s(32,24,28)*c(48,40,12)+
t(32,48,12)s(40,40,12)+c(48,48,12)+
t(32,40,28)t(16,40,12)+t(40,48,20)*
t(32,32,20)s(16,40,20)s(40,40,20)--
s(48,16,20)c(32,32,20)s(40,16,20)+*
s(16,32,20)c(16,40,12)t(32,24,20)+*
c(24,40,20)t(40,32,20)-s(16,16,20)-
t(24,32,20)c(24,32,20)s(16,32,20)**
c(32,40,20)s(32,24,20)c(40,24,20)**
c(24,32,20)s(48,16,20)-s(32,16,20)+
t(32,32,28)t(24,40,28)*t(24,32,20)*
s(24,32,20)t(24,24,12)-s(32,40,12)-
s(40,48,20)t(32,56,12)c(32,16,12)+-
s(40,24,20)c(32,24,20)*s(24,16,20)-
t(32,40,12)c(24,48,12)+c(32,16,12)+
t(24,48,28)c(32,32,20)s(32,16,12)--
c(16,48,12)s(48,24,12)+c(40,16,12)-
c(24,32,20)s(24,8,12)+t(40,40,12)-
t(24,40,28)s(32,40,20)*s(24,48,20)*
t(32,48,28)t(40,40,12)s(24,16,12)+-
t(24,40,20)s(48,40,20)t(40,32,12)--
t(32,40,20)t(24,40,28)t(24,32,20)-+
t(40,32,20)c(32,32,28)s(24,40,28)*+
s(40,40,20)s(48,24,12)-s(40,40,12)-
s(24,40,20)t(48,16,12)+s(32,48,20)*
t(24,24,20)s(16,16,12)t(32,24,20)++
s(16,32,20)c(24,40,20)s(8,40,12)-*
s(32,32,20)s(24,8,12)s(40,40,28)+*
s(32,24,20)t(24,32,28)c(24,24,20)+*
c(32,40,20)s(40,32,28)*s(48,40,20)*
s(16,24,20)s(16,32,20)s(32,8,12)++
s(24,24,28)s(16,32,20)-c(32,32,20)*
c(24,24,20)c(32,40,20)s(8,40,12)++
s(40,40,20)t(40,24,20)s(24,16,12)+-
c(32,24,20)s(40,40,12)c(16,16,12)+*
s(16,24,20)s(32,32,20)c(40,32,20)*-
s(32,40,28)s(24,24,28)s(24,24,12)-*
s(24,40,28)c(32,32,28)s(16,32,20)-*
s(32,40,20)s(48,16,12)s(24,48,20)+*
s(32,48,20)s(16,48,20)*c(24,24,20)+
s(24,16,20)t(40,48,20)+t(48,48,12)-
s(24,32,28)c(24,40,20)t(32,48,28)--
c(24,24,20)t(24,40,12)-c(40,32,20)*
c(32,32,20)c(24,40,20)-s(48,48,12)+
t(32,24,20)s(8,48,12)s(24,24,20)+*
c(16,16,12)t(32,24,20)+c(40,16,12)-
s(24,32,20)t(24,40,28)*s(32,40,20)*
t(24,40,28)s(16,32,20)+s(24,24,20)*
c(24,32,20)s(8,32,12)-t(32,40,28)*
t(16,16,12)s(40,16,20)s(48,24,20)*+
s(16,32,20)s(24,16,20)s(16,24,20)*+
s(8,32,12)s(24,24,20)s(16,32,12)-+
s(48,24,12)c(40,40,20)s(32,24,20)-+
s(24,40,28)s(40,32,20)t(32,32,28)**
t(16,56,12)s(32,32,28)c(32,24,12)-+
c(40,40,12)t(40,24,20)+t(40,32,20)-
c(40,32,20)t(24,32,28)*t(32,40,20)+
s(32,48,20)s(8,32,12)s(32,24,28)+-
t(48,16,12)s(48,24,12)s(32,8,12)++
c(16,32,12)t(48,24,12)+s(32,40,28)*
t(24,40,20)s(40,48,12)+t(32,48,28)*
t(16,16,12)s(16,32,20)c(32,40,12)-+
s(40,32,28)c(40,40,20)c(32,40,20)**
c(24,40,20)s(24,32,20)s(24,48,12)-*
t(24,32,28)c(16,16,12)+s(24,48,12)+
t(16,16,12)s(16,32,20)t(16,32,12)-+
s(40,32,28)s(24,40,28)-s(40,32,20)+
s(32,32,20)c(40,24,20)+s(48,32,20)*
t(24,32,20)s(40,40,20)s(40,48,20)*-
t(24,40,20)s(24,40,28)s(32,16,20)-*
t(40,40,20)s(24,24,12)+s(48,48,12)-
s(32,48,20)c(32,40,20)c(40,40,12)-*
c(24,32,12)t(24,48,20)+c(32,40,20)*
s(40,32,12)s(32,48,20)+s(40,48,20)*
s(40,40,28)s(48,16,20)+t(32,32,28)*
t(24,40,12)t(32,40,20)+c(16,48,12)+
s(40,24,20)s(48,24,20)*s(40,40,28)*
s(16,32,12)t(24,24,20)s(24,48,20)-+
c(32,24,20)c(24,24,20)+t(16,24,12)-
s(32,40,20)s(16,48,12)-s(40,24,20)-
t(32,40,28)c(40,32,20)*s(48,32,12)+
c(24,32,20)s(16,24,20)-s(32,32,12)-
s(16,24,20)s(24,24,28)c(24,32,12)-*
s(32,24,28)c(40,40,12)-s(40,32,20)-
t(32,40,20)s(8,40,12)s(48,48,12)+-
c(48,48,12)t(32,32,20)t(32,16,12)-+
s(24,32,12)t(32,40,28)t(24,48,20)*+
t(32,48,28)s(16,24,12)t(48,32,12)++
s(48,16,20)s(32,24,28)s(24,40,12)-+
c(32,32,20)t(40,40,12)s(16,32,20)+*
s(24,48,20)s(40,40,12)-s(8,24,12)+
s(8,40,12)t(24,40,20)+s(16,32,12)-
s(40,16,20)s(32,40,20)c(32,24,20)+*
s(40,32,28)s(32,48,20)c(16,32,12)-*
c(40,32,20)s(40,24,20)-s(16,48,20)-
c(32,40,20)t(32,32,20)s(24,40,28)*-
c(32,16,12)t(40,40,20)+c(48,24,12)-
t(40,24,12)t(32,48,28)s(24,40,20)-+
s(24,40,20)s(40,40,28)s(32,32,28)**
s(32,24,28)s(32,8,12)-c(32,16,12)-
c(32,24,20)s(48,16,12)+c(24,24,20)-
s(40,40,20)c(24,32,20)c(24,40,12)--
s(48,8,12)s(40,32,20)+c(32,32,28)*
t(32,32,28)s(40,32,28)t(40,24,12)-*
s(40,24,28)c(32,24,12)-c(32,32,20)*
s(24,24,20)s(32,40,28)s(40,48,20)*+
s(48,16,20)s(24,24,28)s(32,40,12)--
s(32,40,20)t(24,40,20)*t(32,48,28)+
s(16,32,20)s(40,40,28)+s(16,8,12)+
t(32,32,28)s(40,40,28)t(32,40,12)-*
s(32,16,12)s(40,40,20)+s(24,24,28)*
c(32,24,20)t(24,48,20)t(32,32,28)+*
t(32,32,28)c(40,24,20)s(40,40,28)**
s(40,40,20)c(24,24,12)-s(48,24,20)+
c(40,32,12)s(16,40,20)+c(40,24,20)-
t(24,48,20)c(16,32,12)+t(32,48,12)-
s(16,16,12)s(40,24,20)t(24,16,12)++
s(32,40,28)c(48,48,12)-s(40,24,28)*
s(32,40,28)s(24,40,28)*t(32,32,28)*
s(40,24,28)c(32,24,20)s(48,32,20)*-
c(32,40,20)s(24,32,12)t(32,56,12)+*
s(24,40,20)s(40,48,20)c(24,24,20)--
s(40,24,20)s(24,40,28)s(16,24,12)-+
s(16,24,12)t(48,32,12)+c(48,40,12)+
c(40,24,20)t(32,40,20)-s(32,32,20)-
s(32,32,20)s(32,24,28)c(24,40,20)**
t(32,32,28)s(24,24,28)*s(8,16,12)+
t(32,24,20)s(32,32,28)s(32,16,20)--
t(32,48,28)c(16,40,12)c(40,48,12)+*
c(24,16,12)s(32,40,28)s(40,32,12)-+
t(24,40,20)s(48,48,12)c(24,40,12)+*
s(32,32,28)s(24,24,28)*s(40,32,20)-
s(24,40,20)s(16,24,20)+s(32,16,20)-
s(48,40,20)s(24,32,12)c(40,40,12)++
s(24,32,28)s(48,16,20)-s(24,24,28)*
s(32,32,28)s(32,40,20)t(24,16,12)+*
t(40,48,20)t(32,32,12)+s(32,40,20)*
c(32,32,28)s(32,32,20)c(32,40,12)--
c(40,32,20)c(24,40,12)-s(48,32,20)*
t(24,32,28)c(24,32,20)*s(48,16,12)+
s(24,48,20)t(48,32,12)t(32,16,12)++
c(32,32,20)c(16,48,12)+s(24,48,20)-
c(48,40,12)t(32,32,28)+s(48,48,20)*
s(48,48,20)s(48,48,20)c(32,40,20)*-
s(16,8,12)c(24,32,20)t(40,48,20)++
c(16,16,12)s(24,48,20)+c(24,40,20)*
t(32,32,28)t(16,40,12)-t(24,32,12)-
c(32,32,20)s(32,40,28)*c(16,32,12)+
c(40,40,20)s(8,40,12)+s(16,24,12)+
s(40,40,20)s(32,40,20)t(24,48,20)+*
c(40,32,20)s(24,48,12)t(24,24,12)+-
s(40,24,20)c(40,24,20)c(24,40,20)-*
t(24,56,12)c(16,40,12)+t(24,48,28)*
s(40,48,20)s(32,8,12)+t(24,40,28)*
s(32,32,20)c(32,40,20)*t(24,32,28)*
t(32,32,28)t(16,40,12)-c(48,32,12)+
c(32,24,20)s(32,24,28)c(32,32,20)**
t(32,32,28)s(48,16,20)-c(24,40,20)*
c(24,48,12)s(32,16,20)t(24,32,28)++
s(32,32,20)c(40,24,20)*t(32,16,12)-
c(32,24,20)c(48,24,12)c(24,40,20)+*
t(24,24,20)s(40,32,28)c(24,48,12)-+
t(32,48,20)s(32,40,28)t(40,40,12)-*
c(32,32,20)s(40,24,28)s(24,32,12)-*
c(40,24,20)t(16,16,12)+s(24,40,12)+
t(24,48,28)t(24,40,28)*s(48,40,12)+
c(24,16,12)s(16,48,20)+t(24,40,28)-
s(16,24,20)s(48,24,20)s(32,40,20)++
c(24,40,12)c(24,40,20)t(32,32,20)-+
t(32,32,28)t(32,24,20)c(48,40,12)+*
s(40,32,20)t(32,32,28)s(48,48,12)++
s(32,24,20)c(40,24,12)-s(32,32,28)*
s(16,16,20)t(32,32,12)+c(16,32,12)-
c(24,16,12)c(32,40,20)s(24,32,12)-+
s(32,40,28)s(32,32,28)*s(48,40,20)*
s(16,16,20)c(16,16,12)-s(48,8,12)+
t(24,40,28)c(32,40,20)s(48,48,12)-*
t(32,32,20)c(32,40,20)s(48,32,12)-+
c(24,40,20)t(32,32,28)t(40,24,12)-*
s(24,40,28)s(8,24,12)t(32,32,28)+*
s(48,32,20)c(40,24,12)+c(24,40,12)+
s(24,24,28)s(24,40,28)+c(40,32,20)*
s(24,32,28)t(40,40,12)t(24,24,20)+*
c(32,16,12)t(40,48,20)+c(40,16,12)-
s(32,32,20)s(24,40,28)s(16,24,12)-*
s(32,24,28)s(40,32,28)*s(48,8,12)+
c(24,24,12)s(48,48,20)t(40,32,12)++
s(40,16,20)c(40,16,12)s(24,48,12)+-
c(48,24,12)s(32,16,20)c(16,40,12)++
s(40,24,12)c(24,32,20)+s(48,48,20)+
s(24,48,20)t(32,32,20)+s(24,24,28)-
s(16,16,12)c(32,40,20)+s(40,40,28)+
c(32,32,20)t(24,48,20)-t(32,32,28)*
c(24,24,20)s(32,16,20)s(16,16,12)-*
c(32,16,12)s(40,32,12)+c(32,32,12)-
s(16,48,12)s(32,32,28)c(16,40,12)-+
s(48,32,12)s(32,24,20)t(32,32,12)-+
c(40,24,20)t(32,16,12)s(40,48,20)+*
c(48,24,12)c(24,32,12)+s(32,24,28)*
s(32,32,20)s(8,48,12)+s(48,32,20)*
c(32,32,12)s(16,32,20)+t(40,32,12)-
s(16,16,12)s(40,24,12)+t(40,40,20)-
t(40,32,20)s(40,32,28)s(32,40,28)**
s(24,32,20)s(32,40,20)c(16,40,12)+*
c(32,32,20)s(40,32,28)*c(48,16,12)-
t(32,40,28)s(40,32,28)*t(48,40,12)-
t(32,40,20)s(40,32,28)t(32,32,28)**
t(24,40,28)s(16,16,20)t(24,24,20)-+
t(16,16,12)c(32,40,12)+s(48,40,12)+
t(32,32,28)s(32,16,20)*s(48,32,20)+
c(24,24,20)s(8,24,12)-s(16,24,12)-
s(24,32,28)t(24,40,28)*c(32,40,20)*
s(32,32,28)s(24,32,20)-s(24,24,20)-
s(32,16,20)t(24,16,12)t(40,40,12)+-
s(40,48,20)c(32,32,12)-s(48,48,20)*
s(32,48,20)c(48,24,12)+c(40,32,20)*
s(24,32,20)t(32,32,28)t(40,48,12)+*
c(32,32,20)t(40,48,20)-s(8,40,12)+
s(40,40,28)t(32,40,28)*c(24,32,20)*
s(32,32,20)t(24,40,28)s(32,24,12)-*
s(48,48,12)c(32,32,20)s(16,32,20)*+
c(32,40,20)s(32,32,20)s(40,40,20)+*
s(24,32,20)c(16,24,12)+c(32,16,12)-
t(48,24,12)t(40,32,12)s(32,48,12)++
s(16,24,20)s(24,32,20)+c(24,40,20)-
c(32,32,28)c(40,32,12)-s(24,24,28)-
t(48,16,12)s(32,24,20)+s(32,32,28)*
s(32,32,28)s(32,40,20)-s(24,24,12)-
c(24,32,20)s(32,32,28)*s(32,24,28)*
s(40,32,20)s(24,32,28)s(24,40,28)**
t(32,40,28)t(32,48,28)*c(24,40,20)*
s(16,32,20)t(40,48,12)s(32,32,12)+-
s(16,40,12)t(24,40,20)+t(24,40,12)-
s(40,24,28)c(48,16,12)-s(24,32,20)*
c(40,32,12)t(24,48,28)s(24,32,20)-+
s(32,32,28)s(24,24,28)*c(40,32,20)*
c(32,24,20)t(24,24,20)-c(48,40,12)-
t(16,32,12)s(40,16,20)s(24,8,12)-+
c(40,40,20)c(32,48,12)s(32,24,20)+*
s(16,40,20)c(24,24,20)c(16,40,12)+*
t(24,40,20)t(16,32,12)+c(32,40,20)*
t(24,48,28)s(32,16,20)+s(24,32,20)*
s(32,24,28)s(8,16,12)+s(24,40,20)-
s(16,24,20)c(24,32,20)+c(40,40,20)*
c(32,24,20)t(40,32,12)-s(48,48,20)+
c(32,32,12)c(24,24,12)+s(40,32,28)*
t(24,24,20)s(24,48,12)+c(40,24,20)-
c(40,40,20)t(24,32,28)c(24,24,20)*+
c(24,32,20)s(40,32,28)*s(24,8,12)+
c(16,32,12)s(32,16,20)t(40,40,20)++
s(8,16,12)s(24,48,20)s(24,40,12)-+
c(48,16,12)c(24,32,20)+c(24,40,12)-
s(32,48,20)s(32,40,12)s(24,32,12)+-
t(16,24,12)s(48,24,20)+s(24,32,28)-
t(24,40,28)c(32,32,20)*t(32,48,28)*
s(40,40,20)t(48,48,12)-t(24,32,20)-
c(24,24,12)s(40,40,28)t(32,32,28)*+
c(24,40,20)t(24,56,12)-c(16,48,12)-
s(24,24,28)c(24,40,20)*s(16,16,20)-
t(24,24,20)s(40,24,28)+c(48,40,12)-
s(24,24,20)s(32,32,28)*s(40,32,20)-
s(32,32,20)t(40,16,12)-s(40,40,20)*
s(24,8,12)c(32,24,20)+c(24,40,20)-
c(32,40,20)s(24,40,12)t(48,32,12)+*
s(32,32,28)t(40,32,12)c(48,16,12)+-
c(32,32,20)s(16,32,20)t(24,24,12)--
t(40,24,20)s(8,40,12)+c(48,32,12)-
c(48,48,12)s(8,40,12)s(32,24,20)++
c(32,24,20)s(8,48,12)s(32,40,28)++
c(24,32,20)s(48,48,20)+s(32,32,28)-
s(24,24,28)c(16,40,12)-t(40,24,20)-
s(32,24,28)s(48,32,20)t(24,40,12)++
s(24,32,20)c(32,32,20)s(24,48,12)-*
c(32,32,20)s(48,16,12)+s(40,40,20)*
s(48,24,20)s(24,8,12)+c(32,32,28)*
t(24,40,28)s(40,48,12)s(24,40,20)+*
s(24,40,20)t(40,40,20)t(24,48,20)--
t(40,40,20)t(48,16,12)c(24,40,12)+-
s(32,24,28)c(32,40,20)s(40,32,20)**
s(40,32,20)t(24,40,28)t(24,48,28)*-
s(40,40,28)s(48,40,20)c(24,40,20)+*
c(32,32,20)s(16,40,20)c(32,32,28)**
c(24,32,20)s(48,48,20)+t(32,48,20)*
c(24,24,12)c(40,24,20)+s(40,32,20)*
c(32,32,12)t(24,40,12)+s(48,32,12)-
t(24,56,12)t(40,40,20)+t(16,40,12)+
s(32,32,28)s(48,48,12)-s(40,40,20)*
s(24,32,20)s(48,40,12)s(24,40,20)++
s(48,16,20)s(24,24,28)t(32,40,28)++
c(48,40,12)t(24,40,20)s(40,24,20)++
s(32,40,28)c(32,24,20)s(48,24,12)-*
c(32,32,28)s(40,32,20)-s(32,16,20)*
s(32,32,20)c(40,32,20)s(24,16,20)-*
s(24,40,28)s(32,24,28)s(24,32,20)**
s(32,32,28)t(24,40,28)s(24,48,20)**
s(32,32,28)s(40,24,12)-t(32,48,28)*
s(32,16,20)s(40,24,28)s(48,16,20)*+
t(32,40,28)s(32,32,28)*t(24,40,20)-
s(40,40,28)c(48,48,12)t(16,24,12)+*
t(24,32,28)c(24,40,20)*t(24,40,28)*
t(32,40,28)s(32,24,20)*s(48,8,12)+
c(32,32,28)s(32,24,28)c(32,32,12)-*
s(32,32,28)s(48,32,20)*t(40,32,20)*
s(40,24,28)c(40,40,12)-t(24,16,12)-
s(16,16,20)t(16,56,12)s(40,8,12)++
c(40,24,20)t(24,32,20)s(48,32,20)--
s(24,24,20)c(32,24,20)*t(40,16,12)+
t(40,24,20)c(40,24,20)s(48,24,20)**
s(40,32,28)s(16,48,20)-t(24,40,28)*
s(24,32,28)c(32,24,12)s(40,8,12)+*
s(40,16,20)c(32,32,28)*t(40,32,12)-
c(32,32,20)s(24,24,28)c(24,40,20)**
s(24,24,20)s(24,32,28)s(40,32,20)-*
s(32,40,28)s(40,48,20)t(24,48,20)-*
c(48,40,12)t(40,32,20)+c(40,24,20)*
t(32,32,28)t(24,40,28)*s(8,8,12)+
t(32,40,28)s(48,48,12)-t(24,32,12)-
c(48,32,12)s(16,32,20)+c(40,24,20)-
c(40,32,12)t(32,16,12)+s(40,40,12)-
s(48,16,20)s(32,32,28)+s(40,32,28)*
c(32,24,12)s(40,32,20)+s(24,32,20)*
t(32,40,28)s(32,40,28)c(32,40,12)-*
s(48,48,20)s(16,24,20)s(40,40,28)+*
s(48,40,20)c(16,40,12)+t(32,48,20)-
c(32,32,20)c(40,32,20)c(32,48,12)--
c(32,32,28)t(48,56,12)t(32,40,28)+*
s(40,40,28)s(32,32,12)-s(48,32,20)*
c(24,40,20)t(16,24,12)-c(40,16,12)+
s(16,24,20)c(40,24,20)+t(24,40,20)-
c(32,24,12)s(48,48,12)+t(32,40,28)*
t(32,48,20)s(24,48,20)*c(24,16,12)+
t(16,48,12)t(32,32,28)+c(24,24,20)+
t(24,32,28)c(32,40,20)s(40,32,20)-+
t(32,48,20)c(32,32,20)t(24,24,20)*+
s(32,32,28)t(24,40,20)-t(48,32,12)-
s(8,48,12)s(40,24,20)+s(24,32,20)-
c(24,40,20)c(24,24,12)t(48,32,12)+-
s(24,24,28)c(24,40,20)s(32,24,12)--
c(24,24,20)t(32,40,20)-s(16,24,20)*
c(32,32,20)c(24,32,20)*s(24,24,12)-
s(24,40,28)t(24,40,20)s(32,48,12)+-
s(24,32,20)s(40,32,20)s(32,32,20)*-
t(24,40,28)t(32,48,28)c(24,40,20)**
t(40,24,20)s(48,32,12)+c(32,24,20)*
c(32,32,20)c(24,32,20)c(40,24,20)*-
s(24,24,28)c(32,24,20)t(24,32,20)-*
c(32,32,20)c(32,40,20)*s(32,24,12)-
c(40,40,12)c(48,16,12)+t(32,56,12)+
s(32,40,28)t(32,40,12)-t(48,40,12)-
t(40,16,12)c(48,32,12)+s(24,16,20)-
s(16,48,12)s(40,24,20)s(24,32,20)-+
s(40,40,28)t(40,48,20)-s(16,8,12)+
c(32,40,20)s(16,40,20)*c(48,40,12)+
s(40,32,28)s(40,24,20)s(24,24,28)+*
s(40,24,28)t(32,48,28)-c(40,32,20)*
s(24,48,12)s(40,24,20)+s(32,40,28)*
c(32,32,28)s(48,16,20)-c(32,24,20)*
c(40,32,20)s(16,24,20)-t(32,40,28)*
s(32,24,28)s(24,40,28)*s(16,24,20)+
c(24,32,12)c(40,32,12)+c(40,32,20)+
c(24,32,20)s(40,40,28)*t(32,32,28)*
t(24,56,12)s(32,24,28)s(24,8,12)-+
t(24,24,12)t(32,24,12)+s(16,32,12)+
s(32,24,28)c(24,24,20)*c(24,40,20)*
c(40,32,20)s(40,24,12)-s(48,48,12)-
s(8,48,12)c(32,24,20)s(48,24,12)-+
t(32,32,28)s(24,40,28)*s(16,32,20)*
t(40,40,12)t(24,40,20)s(16,40,20)*+
s(24,40,12)s(16,8,12)+s(32,24,20)+
s(40,32,12)c(16,40,12)+t(24,40,28)*
s(24,32,28)s(24,40,28)t(32,48,20)-*
c(24,24,20)t(24,40,28)+s(32,32,20)-
s(24,24,20)s(24,8,12)t(40,32,12)+-
s(32,24,20)s(32,40,12)-t(24,32,12)-
s(24,48,12)c(48,24,12)+t(40,40,20)-
c(32,24,20)c(40,16,12)-s(40,24,20)-
t(32,32,28)c(40,40,20)s(24,24,28)*-
t(24,16,12)s(32,48,20)s(48,40,20)-+
c(40,40,20)s(24,16,12)+s(40,32,20)-
s(48,16,20)s(40,16,12)s(40,40,20)+-
c(32,32,20)c(32,40,20)*t(16,40,12)-
c(24,40,20)c(40,40,12)-s(32,24,20)-
t(40,16,12)s(32,24,28)s(40,32,28)-+
t(24,48,20)t(32,40,28)s(32,24,12)-*
t(40,48,20)s(24,48,12)+s(16,48,20)-
s(40,32,28)c(40,32,12)-s(24,40,12)-
c(32,32,28)s(16,48,20)c(24,40,12)+-
c(24,40,12)s(32,32,20)+t(40,40,12)-
s(24,32,20)s(24,48,20)s(24,32,28)**
t(24,32,28)s(40,32,28)c(24,48,12)-*
t(40,32,12)s(32,24,20)s(48,40,20)-+
s(48,24,20)c(24,24,20)s(40,16,20)*-
c(32,40,20)s(24,48,20)*t(24,48,20)*
t(32,24,20)s(16,16,20)+t(32,32,28)*
c(40,32,20)t(32,40,12)-s(32,40,20)-
s(48,40,20)c(32,32,20)t(40,32,12)--
c(32,24,20)s(24,40,28)*s(24,24,20)*
c(24,24,20)s(24,8,12)c(24,16,12)+*
s(32,40,20)s(48,48,20)s(24,32,20)+*
t(24,48,20)t(24,40,28)*s(40,16,12)+
s(40,16,20)t(48,32,12)+s(24,24,20)-
c(32,32,20)t(40,40,12)s(16,24,12)++
s(32,24,20)s(48,24,20)+s(16,24,20)*
t(48,56,12)c(32,16,12)+s(48,16,12)-
c(24,40,20)c(16,32,12)t(16,56,12)+-
t(32,40,20)t(24,40,28)t(16,40,12)-*
s(40,48,20)t(32,24,20)s(16,40,20)-+
s(32,32,20)c(40,32,20)*s(48,40,12)-
s(48,16,20)s(48,40,20)-t(40,48,12)+
c(24,40,12)t(32,48,12)+c(40,40,12)-
t(32,32,12)s(16,48,20)+s(24,40,28)*
c(40,32,12)t(24,56,12)+s(24,40,28)*
s(40,40,20)s(48,24,12)s(48,48,20)+*
s(24,24,28)s(24,16,20)s(40,32,12)+*
s(48,24,20)c(24,24,20)-s(48,32,20)*
t(32,32,20)s(16,24,12)+s(48,8,12)+
t(32,32,28)c(24,32,20)s(24,48,12)--
t(24,40,28)s(32,32,12)-s(40,40,28)*
s(40,16,20)t(24,24,20)-t(40,32,20)-
c(24,24,20)s(40,32,28)t(32,56,12)+*
c(40,40,20)s(32,40,28)c(40,24,20)-*
s(40,40,28)s(32,48,20)*c(24,40,20)+
s(24,16,12)c(32,24,12)+s(32,32,20)*
c(24,32,20)t(32,16,12)-s(40,32,28)-
t(24,48,28)s(32,40,28)*s(48,40,12)+
s(32,16,20)s(48,16,12)+t(32,48,20)+
s(16,32,20)s(24,40,28)t(24,40,28)--
t(24,32,28)s(40,40,28)s(40,16,12)+*
s(24,24,28)s(32,16,20)-s(40,48,20)+
c(24,24,12)s(40,40,20)+t(32,48,28)*
t(40,24,20)s(32,32,28)c(24,40,12)-*
c(32,32,20)s(8,16,12)+c(32,24,20)-
s(32,24,20)c(24,32,12)s(40,16,20)+*
s(24,32,28)s(40,40,28)*s(40,24,12)-
t(24,32,28)s(40,32,20)s(24,32,28)**
s(32,32,20)s(40,24,28)*s(40,16,12)-
s(48,40,20)t(16,40,12)s(32,40,20)+*
s(48,48,20)s(24,48,20)+s(40,32,28)-
s(16,24,20)c(32,40,20)c(40,24,20)*+
t(32,48,20)s(32,40,20)+t(24,32,28)-
s(24,48,20)s(40,40,28)*t(24,40,20)+
c(40,32,20)s(16,40,20)t(48,40,12)+*
s(48,16,20)s(40,24,20)s(48,48,20)+*
t(32,40,28)t(24,48,28)*c(24,32,20)*
s(32,40,28)t(24,32,28)s(48,40,20)-*
s(32,48,20)s(24,32,20)s(40,48,20)+*
s(32,32,20)c(24,32,20)t(32,48,28)+*
s(40,32,28)s(40,24,28)*s(32,32,12)-
c(24,32,20)s(24,40,20)c(40,32,20)*-
s(16,32,20)s(16,24,20)*t(40,24,20)-
c(24,24,12)t(24,40,12)+s(32,24,20)*
s(24,48,12)c(40,24,12)+s(16,48,20)-
c(40,32,20)t(24,48,28)c(40,40,12)+*
s(40,40,28)s(32,24,28)*c(24,24,20)*
s(24,16,20)s(32,16,12)t(24,56,12)++
t(32,48,28)t(32,48,12)-s(40,48,20)*
c(24,40,20)s(40,40,12)-c(24,40,12)-
s(40,40,28)s(16,24,20)s(24,32,28)*-
s(24,48,20)c(16,40,12)t(40,48,12)+*
s(24,40,12)s(16,24,20)+c(32,24,20)*
s(24,24,20)s(40,16,12)-c(16,40,12)+
c(24,32,20)s(24,24,28)*s(24,24,12)-
t(32,32,12)s(24,48,20)+t(16,56,12)-
c(32,40,12)s(48,32,12)+s(40,48,20)*
s(24,40,12)t(48,48,12)+s(16,32,12)+
c(32,40,20)t(48,32,12)-c(32,48,12)-
c(40,32,20)s(40,48,20)t(32,40,28)*-
t(32,48,12)s(48,32,20)s(32,40,20)-+
s(24,32,28)c(24,40,12)-t(24,40,20)+
t(24,48,28)c(16,40,12)c(48,48,12)++
c(40,40,20)t(48,40,12)s(32,16,20)+*
t(32,16,12)s(16,40,20)+t(32,48,28)+
s(48,32,20)t(24,40,20)+t(24,32,20)+
t(32,32,20)s(24,48,12)t(48,24,12)+-
s(24,24,20)s(24,8,12)-s(32,32,28)*
c(24,40,20)s(40,40,28)*c(40,32,12)-
c(32,24,20)s(32,32,28)s(32,24,12)--
c(32,24,20)s(48,24,20)t(40,40,20)-+
c(48,16,12)s(40,24,12)+s(48,8,12)-
s(16,48,20)c(32,40,12)t(24,24,12)+-
t(24,40,28)s(16,16,20)-c(32,32,20)*
c(40,40,20)t(24,40,12)s(48,32,12)+*
s(32,16,20)t(40,24,12)-c(32,48,12)+
t(32,40,12)t(40,56,12)t(48,32,12)++
c(24,24,12)t(40,16,12)+s(24,32,28)*
s(16,32,20)s(8,24,12)-c(24,24,20)*
c(16,40,12)c(48,40,12)+t(48,40,12)-
t(40,24,12)c(24,48,12)+t(40,24,20)+
s(16,48,20)s(40,32,12)+t(24,48,20)*
c(32,24,20)s(32,48,12)s(8,32,12)++
s(40,40,28)c(32,32,20)*s(32,48,20)*
t(32,24,20)c(24,24,20)s(48,40,20)-*
s(24,48,20)c(16,48,12)t(32,40,20)+*
c(32,24,20)s(24,40,12)-s(24,16,12)-
t(24,48,28)s(16,48,20)+s(16,32,20)-
t(24,40,28)s(32,24,20)c(32,32,12)--
t(16,16,12)s(40,8,12)+s(32,24,20)+
c(24,40,20)c(24,32,20)s(32,40,20)--
t(32,32,28)s(32,16,12)s(24,40,20)+*
c(24,40,12)s(48,16,20)+t(24,40,28)*
s(48,32,20)c(32,32,20)+s(8,32,12)+
c(16,32,12)s(40,32,12)+t(24,32,28)*
s(8,32,12)s(16,48,12)+t(32,32,28)-
c(40,32,20)t(40,32,20)s(32,8,12)+*
s(40,48,12)s(16,32,20)+s(32,40,28)+
c(40,16,12)t(40,48,20)t(32,48,28)*+
s(32,24,20)c(24,32,20)+s(32,40,20)*
t(24,24,20)s(32,24,20)t(16,48,12)+*
s(48,48,12)s(24,40,20)c(40,32,12)-+
s(24,24,28)s(40,32,20)c(40,16,12)--
c(32,24,20)s(24,16,12)-t(32,32,20)*
s(8,8,12)s(40,32,12)+t(24,24,20)-
t(24,48,28)c(40,40,20)s(48,24,12)-*
s(32,24,28)t(24,48,12)c(40,32,12)+*
s(40,24,20)s(32,24,28)c(40,16,12)--
t(48,16,12)t(32,40,20)+t(32,48,12)-
s(16,16,20)t(40,48,20)s(16,8,12)+-
c(40,32,20)s(32,24,28)*s(40,40,20)*
s(24,32,20)s(40,32,28)c(32,32,12)--
s(24,40,28)t(24,24,20)*t(40,32,12)+
s(48,40,20)c(40,40,20)s(24,40,12)-*
t(40,48,20)c(32,32,12)s(8,24,12)+-
s(24,32,20)t(32,24,12)s(16,32,12)+*
t(32,32,28)t(24,24,20)-s(32,24,20)+
c(24,32,20)c(32,40,20)*t(32,24,20)-
c(32,32,28)s(48,8,12)c(24,32,12)+-
c(32,32,20)c(24,32,20)+s(32,16,20)*
c(24,40,20)s(40,32,28)*s(32,48,20)*
c(40,24,12)t(24,40,20)t(16,32,12)++
s(32,32,20)t(32,48,28)s(32,40,20)**
s(32,16,20)c(16,24,12)t(32,32,20)++
s(48,40,20)s(40,32,28)s(8,48,12)+*
s(40,48,20)t(24,40,28)s(32,24,12)--
t(32,48,20)c(24,24,20)s(8,32,12)--
t(24,48,28)c(16,40,12)s(24,48,20)+*
s(48,24,20)s(32,32,28)t(24,24,20)-*
c(40,32,20)c(32,24,20)*s(40,48,20)-
c(24,32,20)t(32,32,12)-s(32,40,28)*
t(40,32,20)s(24,24,20)s(24,48,12)++
c(48,24,12)t(40,32,20)+c(24,40,12)-
c(40,32,20)t(32,40,28)+c(24,32,20)*
c(32,32,28)t(24,48,28)-t(32,32,28)*
s(32,32,20)c(40,40,20)t(32,48,20)*-
s(24,24,28)s(32,24,28)*s(24,40,12)-
s(16,48,20)s(48,16,20)t(48,40,12)++
c(24,32,20)s(48,24,20)s(8,32,12)+*
s(32,40,28)s(40,40,28)*s(48,40,12)-
t(24,32,20)c(16,48,12)-s(40,16,12)+
t(32,24,12)t(24,48,28)s(32,32,12)-+
s(48,40,20)s(40,48,12)-s(48,40,12)-
c(40,40,20)s(8,40,12)t(32,48,20)+*
s(16,48,20)s(16,40,20)s(32,48,12)-*
s(40,40,28)c(40,24,20)*t(32,40,28)*
t(32,32,28)c(32,24,20)s(16,32,20)*-
t(32,32,20)t(24,48,12)+c(24,16,12)+
s(32,40,20)s(32,40,12)-s(32,32,28)*
t(24,32,28)t(24,40,12)-s(32,40,28)*
s(16,24,12)s(48,24,20)+c(40,40,20)*
s(40,24,20)t(32,48,28)-s(24,32,20)+
s(16,24,20)s(8,40,12)+s(16,40,12)-
t(48,40,12)c(32,16,12)+c(40,24,20)*
s(16,32,20)t(24,40,28)c(24,24,12)--
c(32,24,20)c(32,40,20)*s(48,48,20)-
s(24,32,20)t(32,48,28)s(40,16,20)+*
s(32,16,20)s(16,40,20)t(16,24,12)-+
s(32,40,20)s(48,24,12)c(32,24,12)+-
s(24,40,20)c(48,24,12)+c(32,40,20)*
s(24,48,12)c(16,32,12)+t(24,24,20)-
t(40,16,12)c(16,32,12)t(48,24,12)++
s(40,24,28)c(32,32,28)s(40,24,20)--
s(40,48,20)s(24,40,28)c(16,40,12)-*
s(40,40,20)c(32,32,20)*s(32,40,20)*
c(32,32,28)s(40,32,12)-s(48,48,20)*
t(24,48,20)c(16,24,12)+s(16,40,20)*
s(16,24,12)t(32,32,20)+s(40,32,28)*
s(16,24,20)t(24,40,20)+t(32,32,28)*
s(32,16,20)c(32,48,12)+c(32,40,20)*
s(48,40,20)s(24,40,28)s(48,40,12)++
c(16,40,12)t(40,56,12)+s(32,40,28)*
t(24,32,28)t(32,32,28)s(40,32,20)**
s(40,24,28)s(24,32,20)-s(24,40,28)-
s(32,48,12)c(24,48,12)+t(24,40,28)*
t(24,48,20)s(48,48,20)c(24,32,20)-+
t(32,40,12)t(40,40,20)s(48,16,20)-+
c(32,24,20)s(40,16,20)-s(40,24,28)*
s(40,48,20)s(48,40,12)s(24,24,28)+-
s(40,40,28)s(24,32,28)c(32,40,20)*-
c(32,40,20)s(8,16,12)s(48,32,12)++
s(24,24,20)c(48,16,12)+t(24,24,20)-
s(40,24,20)s(24,24,28)c(32,40,12)-+
s(40,24,28)c(24,40,12)-s(16,40,12)+
c(32,24,20)s(32,16,20)-t(32,24,20)+
s(32,32,20)c(24,24,20)*t(32,40,28)*
s(24,32,20)c(32,32,20)*s(32,24,20)*
c(32,40,20)t(24,24,20)-t(16,40,12)-
t(32,32,20)c(32,40,20)s(24,24,28)**
c(32,24,20)t(40,24,12)-t(24,40,28)-
s(24,24,28)c(32,32,28)*t(32,40,28)+
c(24,40,12)s(48,32,20)t(32,24,20)-+
s(40,40,20)c(32,16,12)+c(24,32,20)*
s(48,24,20)s(40,40,28)*c(32,24,20)+
t(32,32,28)s(16,16,20)-s(40,32,28)*
t(32,40,28)c(40,40,20)*s(40,32,12)-
s(32,32,28)t(24,48,28)s(16,40,20)**
c(24,40,20)t(32,48,28)s(32,32,28)+*
c(32,40,12)c(40,32,12)+c(32,24,20)+
c(32,32,20)s(32,16,12)-s(32,40,20)*
s(40,16,20)c(32,24,20)s(32,40,20)-*
s(32,32,28)c(32,40,20)c(32,32,12)-*
s(48,48,20)s(24,24,28)-s(24,40,12)+
t(40,48,20)s(24,24,28)s(32,24,20)--
s(32,40,28)s(24,32,20)-c(48,24,12)-
s(32,16,20)s(32,24,12)c(40,16,12)+*
s(48,8,12)t(40,48,20)s(32,40,12)++
c(24,16,12)c(32,24,12)c(48,40,12)++
s(40,48,20)t(40,24,20)c(24,24,20)+-
s(24,40,20)s(16,32,20)s(40,32,20)--
s(24,48,20)s(48,48,20)-s(48,16,20)+
t(32,40,12)s(24,40,20)s(16,40,20)*+
s(32,24,28)c(40,24,20)*s(24,32,12)-
c(24,24,20)t(48,16,12)+s(32,32,20)*
s(24,24,28)c(32,32,28)*c(40,32,12)-
c(24,24,20)s(40,32,12)-c(32,32,12)-
s(24,48,20)s(32,24,28)c(24,24,20)*-
s(16,8,12)s(24,48,12)+s(16,24,20)-
t(24,40,28)s(40,40,28)*c(24,40,12)+
s(32,32,28)s(40,40,28)-s(24,24,20)+
s(32,40,28)s(24,24,28)*s(48,16,12)+
t(40,56,12)c(40,32,20)+s(48,48,20)*
s(40,32,20)c(24,32,12)-t(32,16,12)-
s(16,24,12)c(40,32,20)+t(40,40,12)-
s(16,32,12)c(16,48,12)+s(32,24,12)+
t(24,32,20)t(16,56,12)+c(40,48,12)+
c(32,32,12)s(24,48,20)+s(32,32,28)*
t(32,40,28)t(40,24,20)t(40,32,20)+*
t(32,40,28)s(48,24,12)+c(40,40,20)*
s(16,32,20)t(32,32,28)s(40,16,12)--
c(24,32,20)s(40,32,20)-t(48,24,12)+
s(40,16,12)s(48,8,12)+s(40,24,28)*
s(32,16,20)c(16,16,12)+c(32,24,20)*
s(40,40,20)s(40,24,20)+s(24,16,12)+
t(24,40,28)c(32,40,20)c(32,48,12)-*
s(24,24,28)s(40,24,12)s(16,16,20)+*
t(48,24,12)s(40,24,20)c(32,40,20)*+
s(16,24,20)c(16,48,12)c(40,32,20)+-
t(24,56,12)c(24,24,20)+c(40,24,12)-
c(24,32,20)c(16,48,12)-s(40,48,20)-
c(32,32,28)s(32,24,20)s(40,40,28)+-
s(24,32,28)t(24,32,12)-c(40,16,12)+
s(48,24,20)t(16,48,12)+c(32,32,20)+
t(32,16,12)s(16,48,20)c(24,32,20)*+
s(40,32,12)c(16,48,12)+s(24,40,20)*
s(40,16,12)t(24,40,12)+s(32,40,12)-
s(24,24,20)s(8,24,12)c(32,40,20)+*
s(16,40,20)s(16,48,12)-s(24,40,12)-
s(32,48,20)t(32,40,28)t(24,48,12)-*
s(48,16,20)c(32,24,20)t(24,32,28)--
s(16,16,20)s(24,16,20)*s(32,8,12)-
c(16,16,12)t(24,32,20)+s(32,16,20)-
s(24,32,20)t(48,32,12)+s(24,40,28)*
c(40,48,12)t(32,16,12)+s(24,48,20)-
c(16,48,12)c(40,32,12)+s(32,32,12)-
s(32,40,20)c(32,40,12)t(48,40,12)+*
s(32,32,28)c(40,32,20)*s(32,48,12)+
s(40,16,20)c(24,24,20)t(40,40,20)+*
s(40,40,20)t(48,32,12)-s(32,32,12)+
s(8,40,12)s(48,16,12)+s(16,40,12)-
t(24,48,28)c(24,24,20)t(24,32,28)*-
s(40,40,28)s(48,48,20)-c(24,24,20)+
s(32,40,20)t(32,32,12)c(24,40,12)+*
t(32,40,28)c(24,24,20)*t(24,40,20)+
s(48,8,12)t(40,48,20)+s(40,16,20)-
c(24,40,12)s(32,40,28)s(48,32,20)*+
s(32,48,20)c(32,32,20)+s(40,16,20)*
s(40,8,12)s(48,40,20)t(40,48,20)-+
s(48,32,20)t(16,40,12)+t(32,24,12)+
t(32,32,20)t(40,56,12)+s(40,48,20)*
s(40,24,20)s(48,48,20)+t(32,32,28)-
c(32,40,20)s(48,32,20)s(48,40,20)*-
s(16,48,20)c(40,40,20)s(8,8,12)++
s(48,40,20)c(32,32,20)s(40,40,28)**
t(24,24,12)t(40,32,20)+s(32,24,12)-
t(24,40,28)c(40,40,20)t(32,32,20)+*
c(32,24,20)c(24,40,20)*c(40,40,12)+
t(32,40,28)s(32,40,28)t(24,40,28)**
c(24,32,20)s(40,32,28)*t(24,40,20)-
s(24,24,20)s(24,48,20)t(24,24,20)+*
s(48,48,20)t(32,48,28)-t(32,16,12)+
t(32,32,28)c(24,16,12)-t(32,32,20)*
t(32,32,28)s(40,40,28)t(24,40,20)-*
s(24,24,20)c(24,24,20)s(24,16,12)-*
s(24,16,20)s(32,24,20)c(48,32,12)-*
c(24,32,20)s(40,40,28)*s(24,16,20)-
s(32,32,20)c(40,40,20)*t(24,40,12)+
s(48,24,12)c(32,48,12)+t(16,16,12)+
t(24,40,28)s(40,24,20)c(40,32,20)+-
s(40,16,20)t(40,32,20)+t(32,32,28)*
c(24,24,20)t(24,56,12)+s(16,8,12)-
c(24,24,20)s(40,40,20)+s(48,24,20)*
s(16,32,20)s(40,32,28)c(24,24,12)--
c(32,32,20)s(32,40,12)t(24,32,20)+-
s(32,24,28)s(24,32,28)*s(32,32,20)+
s(24,40,20)s(40,32,28)*c(32,32,12)+
c(16,48,12)c(16,32,12)+s(48,48,20)+
t(24,32,20)t(32,32,28)*c(16,16,12)+
t(32,40,28)t(32,48,20)*s(16,48,20)+
s(40,24,20)t(40,40,20)s(16,48,20)--
s(24,24,28)s(40,40,20)c(48,32,12)--
s(32,24,20)t(16,32,12)+t(32,40,20)-
s(24,8,12)t(32,40,28)+s(24,40,28)*
s(24,32,28)s(40,40,28)*c(16,40,12)-
t(48,40,12)t(32,40,12)c(32,32,12)++
c(40,24,20)t(24,40,20)-s(32,24,28)*
t(32,40,28)s(32,32,12)-c(40,48,12)-
t(32,56,12)t(32,40,20)+s(40,48,20)*
s(48,48,20)s(48,24,12)+s(40,24,20)*
s(24,32,20)c(32,32,20)*s(32,40,20)*
c(32,32,20)s(16,32,20)s(40,24,28)--
s(24,24,28)s(24,40,28)s(32,32,20)**
t(32,32,28)c(32,32,20)*c(40,40,20)*
s(32,40,28)s(24,16,20)c(24,24,20)*-
c(32,24,20)s(32,40,20)c(40,32,20)*-
s(40,24,28)c(40,32,20)+s(48,16,20)*
s(32,32,28)s(40,48,12)t(32,40,20)+*
c(40,16,12)s(32,32,20)s(24,24,20)*+
s(24,16,20)c(32,24,20)t(32,40,28)*-
s(32,16,20)c(40,48,12)s(8,8,12)++
s(40,24,28)c(24,16,12)-s(32,40,28)-
c(24,40,12)t(32,48,12)+s(24,32,28)*
t(24,32,28)c(32,32,28)s(24,40,28)**
s(32,24,20)s(48,24,12)-t(24,24,20)*
s(24,32,28)c(32,32,12)-s(32,32,28)*
t(32,32,28)c(40,32,20)s(48,48,20)-*
s(16,48,20)t(24,48,28)*t(32,48,28)*
t(32,24,20)s(48,40,20)-c(16,24,12)+
t(24,32,28)s(40,40,28)s(40,32,28)+*
c(32,16,12)t(40,56,12)+t(32,56,12)+
s(32,40,20)s(16,8,12)+t(24,40,28)-
s(40,40,20)t(24,24,20)t(24,40,28)+*
s(24,32,20)t(24,40,20)c(24,24,12)--
s(16,8,12)t(24,32,20)+s(24,40,20)*
s(24,40,20)s(24,32,12)-t(16,56,12)-
t(32,40,28)t(40,24,12)+c(40,32,12)-
s(24,16,20)c(24,32,20)*s(24,8,12)+
s(48,24,20)c(32,24,20)s(40,32,12)--
s(40,32,28)t(32,40,28)+s(40,16,20)-
s(40,48,20)t(40,40,20)*c(32,48,12)+
c(32,24,12)c(24,24,12)+t(40,32,12)-
c(40,32,20)t(32,40,12)-t(40,32,20)*
t(48,32,12)c(24,40,12)+t(24,48,28)*
c(40,32,20)c(40,24,20)s(48,16,20)-*
s(24,16,12)t(32,48,20)+t(32,40,20)-
s(40,32,20)c(40,40,20)t(24,40,28)*+
c(32,16,12)s(48,24,20)+c(32,32,20)*
s(48,32,20)t(32,32,28)s(48,16,20)-+
s(24,8,12)s(48,24,20)+s(40,40,28)-
s(40,32,20)c(40,48,12)-s(24,32,28)*
s(40,48,20)t(16,56,12)+s(48,32,12)-
s(32,24,20)c(48,24,12)+s(32,40,12)-
t(32,40,28)s(48,48,20)t(32,32,28)-+
s(48,48,20)c(32,32,20)s(16,24,20)-+
c(48,32,12)t(40,16,12)c(24,40,12)++
s(40,24,28)s(24,48,20)-c(24,32,20)*
s(24,32,28)s(16,48,12)s(16,16,20)+-
c(32,24,12)c(48,48,12)+t(48,56,12)-
c(48,48,12)t(40,32,20)c(32,40,20)*+
s(48,32,20)s(8,48,12)t(16,32,12)++
c(32,32,20)s(24,32,12)-t(16,40,12)+
s(16,48,20)s(32,48,20)+t(32,56,12)-
c(40,16,12)s(32,32,12)+t(24,32,28)+
c(40,24,20)c(32,40,20)*t(32,40,28)*
s(16,16,20)t(32,48,28)+s(32,32,20)-
s(40,24,20)s(48,40,12)s(32,40,12)++
s(16,32,20)t(32,16,12)+s(40,16,12)-
s(24,8,12)s(40,40,28)s(24,48,20)*+
t(32,24,20)s(32,40,28)*t(32,40,20)+
c(16,32,12)c(40,16,12)+t(32,24,20)-
s(32,32,20)s(32,16,12)s(24,40,28)+*
c(24,32,20)s(32,48,20)s(32,40,20)**
s(24,16,20)s(32,24,20)*t(32,48,12)+
s(32,24,20)t(24,40,28)+c(32,40,12)-
s(40,40,20)t(48,40,12)s(40,24,12)+-
c(24,32,20)t(24,48,20)s(40,32,20)+-
s(24,16,20)c(24,24,20)c(32,24,20)*+
s(48,16,20)c(24,40,20)+s(48,40,20)*
t(48,48,12)c(32,16,12)+t(40,56,12)+
c(32,32,20)c(40,40,20)s(40,16,20)-*
s(48,40,12)s(24,40,12)c(16,40,12)++
s(32,24,12)s(32,16,20)c(40,32,12)-+
s(40,32,20)s(32,48,20)c(32,32,28)*-
c(16,16,12)s(32,32,28)+c(48,40,12)-
t(24,32,28)s(32,32,12)c(24,24,12)+-
s(40,24,28)c(24,32,20)s(40,40,28)**
t(24,40,20)t(24,56,12)s(32,16,20)+-
s(40,24,28)t(24,32,20)-c(32,32,20)*
t(24,32,28)c(24,24,20)*s(40,32,28)*
t(32,40,20)t(16,56,12)+c(24,40,20)*
c(32,40,20)t(32,56,12)-t(40,32,20)*
c(40,40,20)t(32,32,20)s(48,32,20)+*
s(32,48,20)s(32,32,28)+s(40,48,20)*
s(40,32,12)t(40,24,20)s(48,40,12)-+
s(16,16,12)s(40,32,28)s(24,24,20)*+
t(40,40,12)t(16,32,12)t(24,48,28)++
t(40,16,12)s(40,48,12)c(24,40,12)++
s(40,24,28)c(24,16,12)-t(40,24,20)*
s(24,40,28)s(16,32,20)t(24,24,20)-*
s(40,32,28)t(32,40,20)t(40,24,20)--
s(40,48,20)c(24,40,12)+s(32,40,28)*
t(48,56,12)s(16,48,12)t(40,32,12)++
s(32,32,28)s(8,40,12)s(40,16,20)+*
s(24,24,28)s(16,16,12)-s(48,24,20)-
s(32,32,20)s(32,8,12)t(40,40,20)+-
c(24,40,12)t(32,40,20)c(40,24,12)++
s(32,24,20)c(16,32,12)-t(32,32,12)-
s(24,32,28)s(16,24,20)s(8,16,12)--
c(40,24,20)s(40,32,28)*s(24,40,28)-
c(24,40,20)s(32,24,28)+s(40,40,20)-
s(32,32,28)s(24,16,20)s(16,8,12)-*
t(32,32,28)t(24,48,28)s(32,40,20)*-
s(48,40,20)t(40,24,20)+t(40,32,20)*
s(24,40,28)c(24,32,20)*t(32,48,12)-
s(48,16,20)s(48,24,20)*c(32,40,20)-
c(40,40,20)c(24,40,20)t(40,24,20)+*
s(32,32,28)c(32,32,28)s(16,24,20)**
t(24,48,28)s(24,32,28)c(24,40,20)**
s(24,40,28)t(48,16,12)+t(24,32,28)-
t(40,32,20)c(40,24,20)s(40,40,20)**
s(48,40,12)s(8,48,12)+c(32,32,28)*
s(32,24,28)t(32,32,28)t(24,40,12)-*
t(24,32,12)c(48,24,12)+c(40,32,12)-
s(24,24,28)s(40,48,20)-s(24,40,20)-
c(32,40,20)s(24,32,28)t(40,40,12)--
c(16,32,12)c(40,32,20)+c(16,40,12)-
s(40,24,20)c(32,16,12)-s(16,40,12)+
s(32,24,20)c(16,16,12)+c(40,24,20)*
c(40,40,20)s(24,32,20)t(40,24,20)+-
s(16,40,20)s(32,40,28)*s(40,32,20)-
s(24,40,28)t(40,40,20)s(24,48,20)+-
s(40,24,28)t(40,32,20)c(40,40,12)+*
s(24,32,28)s(24,40,28)s(40,48,20)*-
t(24,40,28)t(32,48,20)t(48,48,12)+*
s(40,40,28)s(32,32,28)*c(24,32,12)-
s(16,40,20)s(16,48,20)s(24,48,20)**
s(32,48,20)t(40,24,12)t(24,16,12)++
s(16,48,20)t(32,32,28)s(32,40,20)*+
t(24,32,20)t(48,16,12)+c(24,40,20)+
s(32,24,20)s(32,32,20)s(16,32,12)+*
t(24,16,12)t(24,40,20)+c(40,32,20)-
s(16,32,20)s(24,24,20)t(40,24,20)-*
c(48,32,12)s(32,8,12)+t(32,24,20)-
s(40,32,28)s(16,16,20)-t(32,40,28)*
s(8,8,12)t(32,32,20)+s(32,32,20)*
c(32,24,20)s(24,16,12)s(40,40,20)++
t(32,32,20)c(40,24,20)s(24,32,28)**
t(40,24,20)t(24,40,28)s(24,32,20)*-
c(24,40,20)s(32,16,20)-c(48,24,12)+
c(32,40,20)s(24,24,28)*s(40,32,28)*
s(40,16,12)t(32,24,20)+t(32,32,20)+
s(16,24,20)s(48,16,20)t(24,32,20)+-
s(48,32,20)s(32,32,20)t(24,16,12)--
s(40,32,28)c(40,24,20)c(24,16,12)+-
c(40,16,12)t(32,40,28)+t(24,32,28)*
s(32,32,12)s(24,40,12)+c(32,24,20)*
s(16,16,12)c(24,40,20)+t(32,40,28)-
t(24,32,28)c(24,32,20)*t(24,48,20)-
s(40,48,20)s(16,8,12)+s(40,32,28)*
s(16,16,20)s(8,32,12)s(48,40,20)+-
s(32,24,28)s(16,48,20)s(32,32,20)++
s(24,32,20)s(16,32,20)*t(32,32,28)*
s(32,32,20)c(16,32,12)t(24,40,20)+-
t(24,48,20)t(40,40,12)+t(40,40,20)+
c(40,24,20)t(32,48,28)s(48,24,20)+*
c(48,32,12)c(32,48,12)+s(16,32,12)+
s(16,40,20)c(32,32,28)s(32,16,12)-*
s(32,24,20)s(16,16,20)-t(32,48,28)+
s(16,40,20)c(24,24,12)s(32,32,20)+-
c(24,32,20)s(24,40,28)*s(24,32,20)*
s(24,32,28)s(16,24,20)*s(24,24,12)-
s(32,16,12)s(8,16,12)+s(40,24,20)+
t(24,40,28)s(24,48,20)s(16,40,20)*-
s(40,32,28)t(24,48,28)*s(8,24,12)+
t(24,32,12)t(48,40,12)s(48,24,20)++
s(32,40,28)c(32,48,12)-t(40,32,12)-
s(48,16,20)t(48,48,12)s(24,24,20)+-
s(16,32,12)c(24,48,12)+c(40,40,20)-
s(16,48,12)c(32,24,20)s(40,16,20)*+
c(40,40,12)s(32,8,12)+s(32,32,12)-
s(24,40,20)c(24,32,20)c(32,40,20)**
s(16,32,12)c(40,24,12)+s(24,32,28)*
s(32,40,20)s(40,48,20)*s(48,16,12)+
t(24,40,28)t(32,24,20)s(24,32,28)*-
t(24,32,20)s(8,32,12)+s(32,16,20)+
s(32,32,20)s(48,32,12)-c(32,48,12)+
s(48,8,12)c(40,24,12)t(16,56,12)++
c(40,24,20)s(32,16,20)c(32,24,12)--
t(24,48,28)t(48,32,12)+c(32,48,12)-
t(32,40,28)c(24,32,20)t(24,32,20)--
t(24,48,28)s(48,16,20)+c(40,40,20)*
s(48,8,12)c(32,24,20)+t(32,32,28)*
s(40,32,28)t(32,40,28)c(24,40,12)-*
c(32,48,12)c(24,24,20)+s(32,24,20)*
s(24,40,28)s(40,32,20)*c(24,48,12)-
t(32,48,28)t(40,24,12)+s(40,40,28)*
s(24,24,28)s(40,16,12)-s(48,32,20)-
s(32,32,28)s(16,48,12)-s(40,32,20)-
c(40,32,20)t(40,24,12)-c(40,24,20)*
s(32,16,20)s(8,24,12)+s(8,16,12)-
t(24,32,28)t(48,40,12)+s(40,32,12)-
c(40,16,12)c(24,32,20)+s(16,48,20)-
s(32,24,28)c(24,40,12)-s(48,32,12)-
c(40,32,20)s(40,40,20)t(32,32,12)--
c(40,24,12)s(40,40,20)+s(24,40,28)-
t(32,32,28)t(24,40,28)s(40,40,28)*-
s(48,16,20)s(24,40,28)t(40,24,20)-+
c(32,24,20)s(16,32,20)*t(40,32,12)+
t(32,40,28)c(16,40,12)c(40,40,12)+-
c(32,32,20)s(32,24,28)t(32,24,12)-*
c(24,40,20)s(40,40,20)s(48,16,20)-*
s(32,40,28)s(40,32,28)s(40,40,28)**
c(40,32,20)c(32,40,12)-s(32,40,28)*
t(24,32,20)s(24,32,28)c(32,16,12)-*
s(32,32,12)c(16,32,12)+s(32,24,28)*
s(32,32,28)c(48,40,12)-t(32,32,28)-
c(32,32,20)s(48,16,12)t(40,24,20)+-
s(48,32,20)s(16,16,20)s(24,24,12)-+
c(40,24,20)s(32,16,12)t(24,40,20)+*
t(48,24,12)c(32,40,20)+t(32,40,28)*
s(48,24,20)s(32,24,20)c(16,24,12)-*
s(32,32,12)s(48,48,20)t(32,40,28)-+
t(24,40,28)t(48,40,12)c(40,24,12)++
s(40,32,28)t(24,32,28)*c(40,16,12)+
s(32,24,28)s(32,32,28)t(24,56,12)+*
c(40,32,12)c(40,16,12)+s(32,24,20)+
s(16,16,20)c(24,40,20)s(24,48,20)-+
s(48,8,12)t(40,24,20)s(48,24,20)*+
s(24,40,28)c(40,32,12)-s(24,48,20)+
c(32,24,12)s(8,40,12)+s(8,32,12)+
t(32,24,20)c(16,32,12)-c(24,48,12)+
s(48,48,20)s(48,48,12)-t(48,48,12)+
t(32,32,20)s(16,40,20)s(24,24,20)--
t(32,48,20)c(32,24,20)t(48,32,12)--
t(24,40,20)s(48,8,12)c(32,32,12)++
s(24,32,20)t(24,32,28)t(32,48,28)*-
s(32,48,20)s(32,32,28)*t(32,48,12)+
c(24,40,20)s(40,24,12)t(32,32,20)+*
s(8,48,12)s(24,48,12)+s(24,24,28)-
s(32,16,12)s(8,48,12)+s(24,40,28)+
c(24,32,12)c(32,40,20)s(16,48,20)*+
c(48,24,12)s(16,16,12)+t(48,32,12)-
t(16,56,12)s(32,24,20)c(32,40,20)*+
s(24,32,20)s(24,40,20)s(8,24,12)+*
t(32,56,12)s(32,32,20)c(32,40,20)*+
s(40,40,28)s(40,32,28)c(32,24,20)--
c(24,40,20)s(16,48,12)s(32,24,28)+*
t(32,48,28)c(48,16,12)+s(32,32,20)-
s(24,24,28)c(24,32,20)t(32,40,28)*+
t(48,32,12)s(32,16,20)+s(32,24,20)*
s(24,40,20)c(40,32,20)s(40,16,12)-*
s(16,16,12)t(24,56,12)s(16,40,20)++
s(24,24,20)t(24,48,28)-s(32,32,12)+
c(48,40,12)t(32,32,20)+c(40,24,20)*
t(24,48,12)t(32,24,20)+s(24,32,28)*
s(40,16,12)c(40,24,20)s(24,32,20)*+
s(8,24,12)c(40,40,12)+t(32,40,20)-
s(24,8,12)c(16,24,12)t(40,24,20)++
s(40,48,20)c(32,32,28)*s(24,8,12)+
t(40,16,12)s(8,40,12)+s(16,24,20)+
s(24,24,28)t(32,40,20)-s(32,24,20)*
s(16,40,20)s(24,48,20)c(40,24,20)--
s(16,24,20)c(24,24,20)t(16,48,12)+*
s(32,40,20)t(40,40,20)*t(32,56,12)+
t(32,48,28)t(40,48,20)s(48,24,20)--
c(16,32,12)c(48,48,12)+c(24,40,20)*
t(40,56,12)s(32,16,20)+s(40,32,20)+
s(32,40,12)t(32,24,20)+s(48,32,20)+
s(24,24,28)s(24,40,20)*t(32,24,12)-
c(40,40,20)s(40,24,12)-s(40,32,20)-
s(48,24,20)s(32,40,28)c(32,32,20)*-
s(32,24,28)c(16,32,12)-t(40,24,20)*
s(32,24,28)s(16,16,20)s(40,48,12)+*
t(40,24,20)s(40,48,20)-s(40,16,20)*
s(32,24,12)s(40,32,12)+c(24,24,12)+
s(48,24,20)s(40,16,20)s(16,16,20)+*
s(16,16,20)t(40,24,20)s(32,8,12)+-
s(40,32,20)c(40,16,12)+s(8,8,12)+
s(40,24,28)t(24,32,12)-s(16,16,20)-
c(32,32,28)c(32,16,12)-t(32,40,28)*
s(24,24,20)c(24,24,20)s(32,16,20)*-
c(40,40,20)s(40,48,12)s(48,24,20)+*
t(32,32,28)s(40,40,20)s(40,16,20)+*
s(24,16,20)s(8,16,12)+c(24,24,12)-
c(24,40,12)c(24,40,20)s(32,40,12)-+
s(48,32,20)t(32,32,28)t(24,40,12)-*
s(16,40,20)s(16,16,20)-s(16,24,20)+
s(8,40,12)s(32,24,28)+c(40,40,20)*
s(32,32,12)c(24,48,12)+t(40,48,20)-
s(40,48,20)t(24,56,12)t(24,32,20)+-
s(40,40,28)s(40,32,28)*s(48,48,20)*
t(32,48,28)s(40,40,28)c(32,24,12)-*
t(40,32,12)s(16,40,12)+s(32,16,20)+
s(24,32,20)s(40,32,28)t(24,32,28)*+
c(24,40,20)t(40,24,20)-t(24,32,20)*
c(32,32,28)t(32,24,20)-c(24,40,20)+
s(48,32,12)c(24,40,20)+s(48,40,20)+
s(16,32,20)s(32,40,28)+s(40,16,20)-
c(24,24,20)t(32,32,20)s(32,24,12)+*
t(32,32,28)s(40,24,20)s(40,40,28)*-
s(32,40,28)c(32,24,20)*s(32,24,20)*
t(24,32,28)s(32,32,28)+c(40,16,12)-
s(32,48,12)c(40,16,12)+s(24,40,28)*
t(24,40,12)t(32,40,20)+c(16,16,12)+
s(32,16,20)c(24,24,20)*s(40,16,20)*
t(24,48,28)t(32,56,12)-c(32,40,12)-
t(24,32,28)t(24,48,28)+c(24,32,12)-
t(24,40,20)c(32,32,20)*s(32,16,12)+
c(24,40,20)s(24,24,28)t(40,16,12)-*
s(24,32,28)s(48,8,12)+c(32,24,12)-
s(32,40,20)s(16,48,20)+s(48,32,20)-
c(48,32,12)s(8,8,12)+s(40,24,28)*
s(32,32,12)t(48,56,12)+c(32,48,12)-
s(24,48,12)t(48,24,12)+t(16,56,12)-
s(32,32,28)t(40,32,20)-t(32,16,12)-
t(32,48,28)c(48,24,12)+s(40,32,12)-
t(24,16,12)s(40,24,28)c(40,32,20)*+
s(32,32,20)t(40,24,20)t(24,48,12)+-
t(32,48,20)t(40,48,20)t(32,32,28)+*
s(24,24,28)c(40,40,20)t(32,40,28)-+
c(32,24,20)t(24,24,12)s(40,16,20)+*
c(40,24,20)s(40,40,20)s(40,32,20)**
s(16,48,12)c(32,40,20)t(32,48,20)-+
s(32,32,28)s(24,48,20)-s(24,24,20)-
c(24,48,12)c(40,24,20)t(24,24,20)-+
c(32,40,12)t(40,48,20)+s(32,32,20)*
s(24,24,28)s(40,48,20)-s(32,48,12)+
s(16,32,20)s(48,24,20)s(16,40,20)+*
s(32,32,28)t(24,40,20)-s(32,16,12)-
s(24,24,20)c(32,16,12)c(40,32,20)+*
s(24,48,20)s(24,40,20)*t(32,24,12)+
s(48,48,20)s(48,32,12)s(40,32,12)+-
s(40,48,20)c(24,40,20)c(40,40,20)**
s(24,24,28)s(32,32,20)*t(24,24,20)+
c(32,48,12)t(24,40,20)+s(32,24,28)-
s(40,24,12)t(16,16,12)+t(24,40,28)-
s(40,24,28)c(32,32,12)-s(16,32,20)+
c(24,32,20)s(40,40,28)-s(24,8,12)-
s(24,32,28)s(32,48,20)-s(24,16,20)-
t(40,32,20)c(24,32,12)c(48,32,12)+*
c(32,24,12)t(16,48,12)+t(32,32,28)*
t(32,24,20)s(40,24,20)*c(48,48,12)+
s(32,40,28)s(48,32,20)t(40,40,20)+*
t(32,48,28)t(24,32,28)-t(24,40,20)-
s(16,40,20)s(40,16,20)t(24,24,20)-+
t(24,32,28)s(16,48,12)-c(40,16,12)+
s(24,40,28)t(32,40,28)c(32,40,20)**
t(48,56,12)t(24,48,20)+t(48,16,12)+
c(32,32,20)c(40,40,20)t(32,40,28)**
s(48,40,20)c(32,24,12)s(48,40,12)+*
s(16,48,12)t(40,40,20)+t(32,32,20)-
t(24,40,28)t(24,32,12)-c(16,48,12)-
t(32,48,28)t(24,48,20)*t(16,32,12)+
s(32,24,28)t(32,16,12)-t(24,24,20)-
s(24,32,28)s(24,48,20)t(32,24,20)+*
t(24,32,28)t(40,32,20)s(16,32,12)+*
s(40,24,28)t(32,48,12)+s(40,32,28)*
s(40,32,12)s(24,32,28)c(24,40,20)*+
c(24,40,20)t(32,56,12)-s(40,24,28)*
t(32,40,28)s(48,32,20)-c(40,40,20)*
s(40,40,28)c(40,24,12)s(24,48,20)+*
s(16,32,20)s(24,32,20)s(32,24,28)**
s(40,48,20)t(16,48,12)s(40,32,20)+*
s(24,32,28)s(40,32,12)-c(24,32,20)*
s(40,24,20)c(40,40,20)+s(32,24,12)-
s(40,32,28)c(40,24,20)*c(48,48,12)+
t(24,48,28)t(32,48,28)s(32,40,28)**
s(16,8,12)t(24,40,28)s(16,32,20)++
t(16,48,12)t(24,24,20)+s(24,24,20)*
t(40,48,20)s(32,32,28)+s(48,48,20)-
c(16,24,12)c(48,32,12)s(8,16,12)++
c(48,24,12)t(32,40,28)s(16,40,20)*+
t(24,32,28)s(48,8,12)+s(40,32,20)*
c(16,48,12)t(40,48,20)+t(40,32,20)-
s(32,48,20)t(32,32,28)t(24,48,28)*-
s(32,24,12)t(48,16,12)+s(16,40,20)-
c(24,32,20)s(24,32,12)c(16,24,12)+-
s(40,40,28)c(40,32,20)t(24,48,28)-+
s(40,40,28)s(24,16,20)c(32,40,20)-+
c(16,40,12)c(32,40,20)+t(24,48,20)*
c(24,24,20)s(24,32,28)*s(32,40,28)*
s(24,48,20)t(40,40,12)s(16,40,12)+-
s(40,40,20)c(24,40,12)-s(32,40,20)*
s(24,40,20)c(32,40,20)*c(40,24,20)-
s(8,32,12)c(24,24,12)+t(48,40,12)+
t(24,48,20)s(48,16,20)s(40,24,20)*+
s(32,40,20)s(40,16,12)c(32,48,12)+-
s(16,24,12)s(16,48,12)+c(32,32,28)*
s(16,32,20)t(32,32,20)-c(16,48,12)-
s(48,16,12)s(48,40,12)+s(24,32,28)-
t(32,48,28)s(48,32,20)+t(32,40,28)*
s(24,32,28)c(40,48,12)-s(32,40,20)+
s(40,40,20)c(40,24,20)t(32,24,12)-*
s(24,24,20)c(32,32,28)t(32,48,28)*-
c(24,32,20)t(24,48,28)t(40,16,12)+-
c(40,24,20)s(40,32,28)*t(48,40,12)-
s(24,24,20)s(24,24,28)s(40,24,20)*+
s(40,40,28)c(24,40,20)s(24,24,20)*-
t(32,32,28)s(24,48,20)-c(48,32,12)+
s(40,32,20)s(40,40,20)t(24,32,20)+*
c(24,32,20)s(24,24,20)t(32,32,28)**
c(40,48,12)t(32,24,12)+s(16,32,20)-
s(24,16,20)s(40,32,28)s(32,8,12)+*
c(40,32,20)c(40,48,12)c(40,16,12)+*
s(24,16,20)t(32,32,28)s(24,40,28)*-
s(24,32,20)c(32,24,20)s(24,24,20)**
c(32,32,20)s(32,32,28)s(32,24,12)-*
s(48,32,20)s(40,24,28)*s(32,32,28)*
t(24,48,28)s(24,8,12)+s(40,32,28)+
t(24,32,20)s(24,40,20)s(8,48,12)-*
c(32,32,20)s(24,24,20)*c(24,40,20)*
c(24,32,20)s(48,32,20)t(48,32,12)--
s(24,40,28)t(24,40,20)t(16,32,12)--
s(24,8,12)c(16,48,12)s(16,24,12)++
t(32,48,28)t(40,32,20)-t(32,56,12)-
s(40,24,28)s(40,16,20)s(24,32,20)-*
s(16,40,20)s(16,32,12)t(40,32,20)+-
c(16,48,12)s(24,40,20)s(32,24,28)*+
c(32,32,20)c(40,24,12)t(32,40,28)+*
t(32,32,28)t(24,40,20)-s(40,32,28)*
c(32,32,20)t(48,56,12)s(40,16,20)+*
t(40,32,20)t(24,40,28)+t(32,24,20)-
s(40,40,20)s(32,24,20)+t(24,48,28)*
s(32,16,20)s(48,32,20)+s(48,40,20)*
c(40,24,20)s(24,8,12)c(24,32,20)+*
c(32,40,20)s(24,24,28)*s(40,40,28)*
t(24,32,28)c(40,40,20)-c(24,24,20)*
s(32,40,28)t(32,24,20)-s(40,40,28)*
t(24,40,28)t(32,32,28)*t(32,40,28)+
t(24,24,20)t(24,56,12)s(32,48,12)++
s(40,32,20)t(32,24,20)s(16,32,12)-+
t(32,48,20)t(32,32,28)t(32,40,12)-+
s(16,48,20)s(16,24,12)+t(40,56,12)+
s(24,40,28)s(32,32,20)s(48,24,12)-*
c(24,32,20)c(48,16,12)+s(16,48,20)-
s(24,24,20)t(24,40,28)c(24,48,12)--
c(24,24,20)c(24,40,20)*t(24,40,28)*
s(32,24,20)s(32,32,20)*t(48,24,12)-
s(40,40,28)c(24,24,20)s(40,24,20)*-
t(32,32,28)t(24,48,20)+s(40,24,20)*
s(40,32,28)t(24,32,28)*s(24,40,28)*
c(40,32,20)s(32,24,20)*t(40,24,20)*
c(32,32,20)c(40,40,20)*c(24,40,20)*
s(32,24,20)s(40,16,20)s(24,24,28)**
c(40,32,20)s(32,32,28)t(24,48,28)+*
c(32,32,20)s(32,40,20)t(48,48,12)+*
s(24,16,20)t(32,32,28)-s(24,24,12)-
c(16,16,12)s(24,40,20)+c(48,16,12)+
s(40,24,28)s(32,40,28)+s(24,16,20)*
t(32,40,12)s(24,24,12)s(8,32,12)++
s(48,24,20)s(24,24,20)s(32,24,20)*-
s(32,24,28)c(16,24,12)-t(32,32,28)-
s(32,24,28)s(24,24,28)*s(32,16,12)-
t(32,24,20)t(16,16,12)+c(48,32,12)-
c(32,32,20)c(48,48,12)-s(24,40,12)-
s(24,32,20)s(8,32,12)+t(24,16,12)-
c(24,32,12)c(40,40,20)+c(40,32,20)*
s(32,40,28)c(24,32,20)*c(24,24,12)-
t(24,48,20)s(16,48,20)*s(24,16,20)+
t(24,40,20)s(48,40,20)-s(48,24,20)+
c(24,24,20)s(40,32,28)*s(40,16,12)-
s(24,32,20)s(24,40,20)*s(24,24,20)*
s(24,24,20)s(32,24,20)*c(32,40,12)+
s(40,32,28)c(24,40,12)s(40,16,12)+*
s(40,40,28)s(40,24,28)*s(32,24,20)+
s(16,24,20)c(40,24,12)+s(24,24,28)*
s(32,24,20)c(32,32,20)*t(32,32,28)*
s(32,32,28)c(32,16,12)c(32,40,20)+*
c(40,32,20)c(24,32,20)*s(24,16,12)-
c(32,32,12)s(24,48,20)+c(24,24,12)-
t(16,40,12)s(40,24,28)+s(24,24,28)*
s(32,24,28)t(24,24,20)-s(48,16,12)-
t(32,24,12)c(48,48,12)+s(32,32,12)-
t(24,16,12)s(48,40,20)t(40,40,20)*+
c(32,40,20)c(32,32,12)-t(32,40,20)+
s(48,40,20)s(16,8,12)+c(32,32,28)*
c(32,32,20)s(24,40,12)-t(24,32,20)+
t(16,24,12)s(24,40,20)+t(24,40,28)*
t(32,24,12)s(40,32,12)+s(32,16,20)+
s(48,16,20)c(24,32,20)-t(24,32,28)+
s(32,32,28)s(40,48,12)-s(48,48,20)-
s(24,16,20)t(24,32,28)*s(24,32,12)+
t(24,32,20)c(48,32,12)+c(24,40,20)-
t(24,48,28)s(16,32,20)t(48,40,12)++
t(40,32,20)c(32,40,20)s(32,32,28)*+
s(32,40,28)s(40,32,20)s(16,24,12)+*
s(40,24,28)c(48,16,12)s(16,16,12)+-
s(40,32,12)s(8,16,12)t(48,32,12)++
c(40,32,20)t(32,32,28)*c(24,40,12)-
t(32,40,28)s(24,32,28)*s(24,48,20)*
c(32,40,20)c(48,24,12)s(32,48,12)+*
t(32,40,20)t(40,40,20)+t(40,24,12)-
t(40,40,12)s(24,40,28)t(32,48,20)-+
s(24,24,28)s(40,24,28)*c(24,32,20)+
c(40,40,20)s(40,32,28)s(32,32,28)**
c(24,24,20)t(32,40,20)-s(24,24,12)-
t(32,16,12)t(32,48,28)+s(32,24,20)*
s(24,48,20)s(40,40,20)s(40,32,20)*+
s(16,48,20)s(40,24,28)c(32,24,12)-+
c(32,40,20)s(32,24,28)s(48,48,20)-*
c(40,16,12)s(24,40,20)+s(40,32,28)*
t(32,32,20)s(8,8,12)s(40,40,20)++
s(48,32,20)c(16,16,12)+s(48,40,20)*
s(24,40,28)s(32,24,28)s(24,16,12)--
c(24,24,20)s(24,24,20)s(24,32,20)*-
s(40,40,28)c(40,32,20)s(24,40,12)-*
c(24,40,20)c(40,24,12)-c(40,40,20)*
s(48,32,20)c(40,24,20)+s(40,40,28)*
s(8,32,12)t(32,48,20)+s(40,24,12)+
c(32,32,20)s(24,32,28)*t(40,16,12)-
c(40,40,12)t(24,24,20)+s(32,24,20)+
s(40,48,20)s(24,16,20)+c(32,32,28)*
c(48,48,12)c(24,32,20)s(32,32,20)*+
s(16,32,20)s(24,40,28)c(40,40,20)+*
s(40,32,20)c(48,40,12)t(16,24,12)++
c(40,32,20)s(16,32,12)+t(24,24,20)-
s(32,24,28)c(40,48,12)+s(24,24,28)*
s(32,40,20)c(24,32,12)-t(32,56,12)+
t(40,16,12)c(32,40,20)+t(32,48,28)*
t(32,40,28)s(48,40,12)s(24,48,12)+*
c(32,32,28)s(24,32,28)s(16,16,20)**
s(24,32,20)s(8,16,12)t(40,16,12)+-
s(32,24,20)t(32,40,28)s(8,32,12)+*
s(48,24,20)s(24,32,12)c(40,40,20)+*
t(24,40,28)c(24,16,12)-s(24,24,12)-
c(32,32,20)s(32,8,12)s(16,40,20)+*
s(48,16,20)c(24,24,20)s(40,16,12)+-
s(8,40,12)c(40,32,20)c(48,16,12)++
c(32,24,12)c(48,16,12)+c(40,32,12)-
t(40,24,20)s(40,24,20)t(24,32,12)-+
s(32,32,28)t(32,40,28)*c(24,16,12)-
t(32,48,20)s(24,16,12)+t(24,40,20)+
s(24,24,20)s(24,32,20)*s(48,16,20)-
s(32,16,20)c(32,16,12)c(48,16,12)+*
c(32,32,28)s(32,8,12)c(40,40,12)+*
s(24,40,28)s(24,24,28)c(32,24,20)**
t(48,40,12)c(24,24,20)+s(24,32,20)*
t(24,48,28)s(40,48,12)-s(32,40,12)+
s(24,16,20)t(24,24,20)*c(40,40,20)+
t(32,32,20)s(24,40,20)+c(32,48,12)-
s(32,48,20)s(24,48,20)c(40,40,20)*-
s(48,48,20)t(32,40,20)c(16,32,12)--
c(24,24,12)s(32,8,12)+c(24,32,12)-
s(40,40,28)t(40,24,20)s(48,24,12)+*
t(24,40,28)s(16,8,12)+t(24,24,12)-
t(32,24,12)s(16,24,20)+s(32,32,20)*
s(16,48,20)c(32,48,12)-t(24,48,20)-
s(24,48,20)s(24,32,28)s(48,40,20)+*
c(24,40,20)c(40,24,12)+t(24,48,28)+
s(40,32,20)t(40,48,20)-s(48,48,12)+
s(32,48,20)c(32,40,20)+t(24,40,28)*
c(40,32,20)t(32,32,28)*s(32,16,20)-
c(48,40,12)s(24,32,20)c(24,40,20)*+
s(32,48,20)s(40,8,12)+c(24,32,20)*
s(48,40,12)t(32,40,28)+t(32,48,28)*
t(32,40,28)s(40,32,28)c(40,24,20)**
s(24,40,28)c(40,32,20)*s(48,16,20)-
s(24,32,20)s(40,48,20)-c(32,40,20)*
s(48,40,12)t(32,16,12)t(40,32,20)++
s(16,16,20)s(32,24,20)-c(24,40,20)+
s(32,48,20)t(24,40,28)s(32,32,20)*-
t(32,40,28)c(48,48,12)-s(48,48,20)-
c(24,24,20)s(40,32,20)-s(16,32,20)*
s(40,32,28)t(32,40,28)*t(40,24,12)+
t(32,32,20)s(16,24,20)+t(32,40,20)+
c(24,32,20)c(16,48,12)-s(32,32,20)*
c(16,48,12)t(40,48,20)+s(32,40,20)-
s(40,40,20)s(48,32,12)-t(16,32,12)+
s(32,40,20)t(24,32,28)s(40,24,12)+*
c(32,32,20)s(24,40,20)s(32,24,28)*-
s(40,24,20)s(40,40,28)s(48,40,12)-*
s(24,24,20)c(32,32,28)s(24,48,20)-*
s(16,40,12)s(16,40,20)c(24,24,20)*+
c(24,32,20)s(40,48,20)c(32,32,28)*-
s(32,32,28)s(24,16,20)-s(48,40,12)-
t(32,56,12)s(40,24,20)s(48,16,20)*+
c(16,16,12)c(24,40,20)+s(40,40,12)-
s(24,32,28)s(8,24,12)-s(32,40,28)*
c(32,32,20)t(32,48,28)-c(16,16,12)-
s(40,32,28)c(40,40,20)*c(32,24,20)*
c(32,32,12)c(48,16,12)+s(24,40,28)*
s(24,32,20)t(24,24,20)s(48,16,12)+*
s(24,32,28)s(24,40,20)-s(48,32,20)-
c(40,40,20)s(24,48,20)s(16,48,20)*-
s(40,24,12)c(24,40,20)s(32,24,20)-+
s(40,40,28)t(24,48,28)c(16,32,12)-*
s(32,40,28)s(24,24,28)*s(32,48,12)-
c(40,40,20)s(32,40,20)c(40,48,12)-*
t(24,32,28)t(16,48,12)+t(32,32,28)-
c(40,40,20)s(40,48,20)c(32,32,28)*-
s(48,40,20)t(24,40,12)s(32,32,12)++
s(32,24,28)t(40,48,12)s(24,24,20)+*
s(40,24,28)s(32,16,20)*s(48,24,12)-
t(16,24,12)c(32,48,12)+s(40,40,28)+
t(40,16,12)s(16,40,20)c(48,48,12)++
s(32,24,28)t(32,32,28)*t(48,32,12)-
s(32,16,20)s(24,16,20)*s(16,40,20)-
s(24,32,12)s(24,48,12)+t(32,40,20)+
s(24,24,28)c(40,24,12)-s(32,40,28)-
c(40,40,12)t(24,32,28)+s(32,24,28)*
s(40,32,28)t(24,40,20)-c(16,32,12)+
s(32,24,28)s(8,24,12)c(40,32,20)+*
s(24,32,20)s(40,16,20)-t(40,40,20)-
s(40,48,12)s(48,32,20)s(40,32,20)*+
s(40,16,20)c(32,32,12)-c(16,48,12)+
t(32,32,20)c(48,40,12)-s(48,24,12)+
s(48,40,12)t(48,48,12)+s(8,48,12)+
s(40,24,28)s(24,40,20)s(32,48,20)*+
c(40,32,20)s(40,24,20)*t(40,32,20)*
s(48,48,20)s(40,24,28)t(48,16,12)-+
s(48,32,20)c(24,16,12)t(32,32,12)++
c(40,16,12)s(32,32,20)s(16,48,12)++
t(24,32,20)s(16,24,12)+c(32,24,20)*
s(8,16,12)s(24,40,28)+s(40,32,28)*
t(24,48,28)s(24,40,28)*c(40,40,12)-
c(24,40,20)s(40,40,20)t(32,56,12)+-
t(40,24,12)s(24,32,12)+s(48,24,20)+
t(40,48,20)s(40,32,12)+s(40,48,20)*
s(32,40,20)c(16,40,12)+s(48,40,20)*
s(40,16,12)s(16,32,20)+s(32,32,12)-
t(32,48,20)s(24,16,20)s(16,24,20)++
c(32,24,20)c(24,32,20)*s(32,16,20)*
s(24,48,20)s(48,32,12)t(40,48,20)+-
t(40,40,20)s(40,24,20)s(48,24,12)--
t(24,40,12)s(40,32,20)+s(48,48,20)-
s(16,24,20)s(16,16,20)*s(24,48,20)+
s(16,16,20)s(32,40,12)+s(24,24,12)-
s(40,24,20)s(32,48,20)-s(48,24,20)*
s(24,40,20)c(24,16,12)+s(16,48,20)-
c(40,24,20)t(32,32,28)c(32,16,12)+-
c(40,32,12)t(32,32,12)+t(32,32,20)+
c(40,40,20)s(24,40,20)*s(16,40,12)-
s(32,40,28)c(32,32,20)*s(24,16,12)+
s(32,32,28)c(24,40,20)t(24,48,28)+*
s(40,24,28)t(24,32,12)-s(48,32,20)*
t(40,40,20)c(40,24,12)s(24,48,20)++
t(48,56,12)c(24,24,12)t(40,56,12)++
t(40,48,20)s(40,32,28)t(32,48,28)--
s(48,40,20)s(24,16,12)t(40,32,12)+-
c(24,40,20)t(32,24,20)-c(32,32,12)-
s(32,24,28)s(24,32,20)+c(32,32,20)*
t(24,24,20)c(40,40,20)s(48,24,20)*-
s(8,24,12)s(48,40,12)t(48,16,12)++
s(48,32,20)t(32,48,20)s(24,40,12)+-
s(32,32,28)s(48,32,20)c(40,32,20)**
s(32,32,12)c(16,16,12)+s(24,32,28)*
c(16,24,12)s(24,48,12)+c(40,40,20)-
c(16,24,12)t(24,56,12)+t(32,40,28)-
c(32,32,20)s(24,40,28)*c(40,40,12)-
s(40,40,28)s(40,40,12)t(32,56,12)+*
c(40,24,12)s(32,40,20)+s(48,48,12)-
s(32,32,20)c(24,40,12)-s(40,40,28)*
t(24,48,28)s(16,32,12)-c(32,24,20)+
s(24,32,28)t(32,24,20)-s(40,24,28)+
s(16,24,20)c(16,40,12)-t(24,40,20)-
s(48,24,20)t(24,32,28)-s(48,32,20)*
s(48,16,20)c(32,32,12)t(48,32,12)+-
t(32,32,28)s(40,40,28)s(48,32,20)**
c(32,32,28)c(40,40,12)-s(40,16,20)*
t(32,40,28)s(24,32,28)s(48,32,12)+*
s(32,48,20)c(40,40,20)c(32,24,20)*+
s(24,32,28)s(48,16,20)c(32,48,12)+*
t(32,32,20)c(16,16,12)+t(32,24,12)-
s(24,40,20)t(32,40,28)s(40,40,28)**
t(32,48,28)t(24,48,12)t(24,24,12)+-
t(32,48,28)t(32,24,12)+t(32,40,20)-
s(24,40,20)t(32,48,28)s(24,32,28)*-
t(32,40,20)s(24,24,20)+c(32,24,20)*
s(8,48,12)s(32,16,20)s(40,24,28)*+
s(24,40,20)t(32,48,20)-t(40,56,12)+
s(24,32,28)s(16,8,12)t(32,32,28)+-
s(40,40,20)c(32,48,12)t(48,48,12)+-
c(40,24,20)t(32,40,12)s(16,16,20)+-
s(40,40,28)s(40,32,28)*c(32,24,20)*
t(32,40,28)t(16,48,12)-s(24,24,28)*
s(40,32,28)t(32,40,28)-t(32,32,28)-
s(16,48,20)s(32,24,28)t(40,16,12)--
s(40,40,28)s(32,24,20)*t(48,32,12)-
s(48,24,20)c(40,40,12)+s(40,24,28)*
s(24,32,28)s(32,24,28)s(48,16,20)*-
s(32,40,28)c(24,24,12)t(40,40,12)+-
s(40,40,20)c(40,16,12)s(32,24,12)+-
c(24,40,20)c(24,40,12)s(24,24,20)+*
c(24,24,20)t(32,48,20)+s(24,48,20)-
c(32,40,20)t(32,32,28)c(48,32,12)--
s(32,32,28)c(24,32,20)t(32,40,20)*-
c(32,32,28)s(32,48,20)s(40,48,20)**
c(32,32,12)s(32,40,12)+t(40,24,20)+
c(40,32,20)t(24,40,28)-s(40,32,12)-
c(24,24,20)s(40,24,28)*c(24,48,12)+
t(40,24,20)s(40,40,28)c(40,24,20)**
s(48,24,20)c(32,40,20)s(24,32,28)*-
s(32,40,28)c(48,16,12)s(32,40,20)+-
c(32,32,20)s(24,48,12)+t(32,48,20)*
t(24,40,20)t(32,40,28)c(24,24,12)-+
s(32,24,28)s(40,32,28)*s(32,32,20)*
t(24,40,28)s(16,48,20)s(32,40,12)-*
c(32,24,20)s(48,16,12)-s(24,40,20)-
s(24,40,28)t(48,40,12)+s(32,48,20)-
s(32,24,20)c(24,24,20)s(24,32,20)*-
c(32,24,20)t(32,48,12)+t(32,40,28)*
s(24,32,20)s(40,16,20)+c(32,32,20)*
s(32,24,28)t(32,40,28)-s(48,16,12)-
s(24,16,20)s(24,40,28)-s(8,24,12)+
c(40,32,20)s(32,40,20)+s(32,16,20)*
s(40,24,20)s(40,32,20)s(48,24,20)*-
s(16,48,20)s(40,24,12)+c(32,32,20)+
t(32,40,12)s(32,40,28)c(40,24,20)*+
t(24,48,28)c(24,40,12)s(48,40,12)+-
c(24,40,20)s(32,48,20)*s(16,48,12)-
s(48,24,20)c(40,40,20)-c(16,40,12)+
s(24,32,28)c(40,40,12)s(48,24,20)+*
s(16,16,20)s(32,32,20)-t(24,32,28)-
s(8,24,12)s(16,40,12)+s(16,24,20)*
s(32,40,20)t(24,40,20)-s(24,16,20)+
c(24,32,20)s(24,32,28)s(16,48,20)**
c(32,32,20)c(32,16,12)+s(16,40,20)*
s(24,40,28)t(32,32,12)-s(24,24,28)*
c(32,24,20)s(24,32,20)*t(24,32,20)*
c(40,32,12)t(40,48,20)+s(32,24,28)*
c(32,32,28)s(32,16,12)-t(24,24,20)*
s(32,40,28)t(24,32,28)s(16,48,12)-*
s(24,40,20)s(24,32,28)t(32,24,20)-*
c(40,24,20)c(24,24,12)-c(32,32,20)*
t(16,24,12)t(48,56,12)+c(24,24,12)+
s(32,32,28)s(40,40,12)-s(48,40,12)+
s(24,32,28)t(24,32,12)-c(24,24,20)-
s(40,32,20)t(32,40,28)t(24,40,12)--
t(24,48,28)t(32,48,20)t(32,32,12)+*
s(32,40,20)c(40,24,12)+s(24,24,20)-
s(24,40,28)c(40,32,12)-s(32,48,12)-
s(40,24,20)s(32,24,20)*s(24,8,12)+
c(40,48,12)s(16,24,20)+s(24,32,12)-
s(48,24,20)s(40,32,28)s(32,24,28)**
s(40,32,12)s(24,48,12)+s(32,32,20)*
c(24,32,20)t(32,40,28)s(32,32,28)*-
s(16,8,12)c(24,32,20)+s(32,48,12)-
s(32,32,12)t(16,48,12)+s(24,32,28)*
t(48,56,12)t(32,24,20)+t(40,32,12)-
t(32,40,12)t(48,16,12)+t(16,40,12)+
s(40,32,28)s(32,24,28)c(48,40,12)+*
c(40,24,20)s(24,24,20)s(48,16,20)+*
c(48,16,12)s(48,32,20)+c(24,40,20)-
t(32,32,28)s(40,48,20)-t(24,32,12)-
c(24,40,20)t(16,48,12)-c(24,16,12)+
t(40,32,20)c(40,24,20)s(24,32,20)*+
s(24,32,28)c(48,40,12)c(16,24,12)+*
s(32,32,28)s(40,32,28)c(24,24,12)-*
s(32,48,20)s(16,16,20)+c(32,32,20)-
c(40,32,20)s(32,8,12)c(24,32,20)+*
s(40,24,28)t(24,24,20)+c(24,24,20)*
t(24,32,12)c(32,24,12)+t(24,32,28)+
s(16,40,20)c(16,40,12)s(48,40,12)+*
c(24,32,20)c(40,40,12)s(24,8,12)++
s(24,32,28)c(24,24,20)s(48,24,12)+*
c(24,32,20)s(8,8,12)t(16,48,12)+-
s(32,24,20)c(40,32,20)s(40,24,20)**
c(24,32,20)c(16,16,12)s(16,40,12)+*
s(32,40,28)t(24,40,28)*s(40,40,20)*
s(24,24,28)s(16,48,20)+s(32,24,28)*
s(40,24,20)s(48,16,12)t(24,24,12)+-
s(16,24,20)s(8,16,12)s(32,32,28)+*
c(32,32,28)s(24,24,28)-c(32,48,12)+
t(16,16,12)s(40,24,20)s(48,40,12)++
s(32,32,28)c(24,40,20)c(40,32,12)-*
s(32,40,28)s(32,32,28)*s(40,24,28)*
t(40,48,20)c(32,32,20)s(40,40,20)*+
s(16,40,20)s(16,8,12)t(24,24,12)+-
t(48,16,12)c(48,40,12)+c(24,40,20)+
s(24,24,28)t(32,32,28)s(48,32,20)--
s(32,48,20)s(16,40,20)s(32,40,20)*-
s(24,40,20)s(24,32,20)*c(32,48,12)+
t(16,24,12)s(32,40,20)c(40,40,20)*+
s(32,32,28)t(32,48,28)*c(24,32,20)*
t(24,48,28)t(32,32,28)s(24,32,28)*-
c(16,40,12)t(24,16,12)+t(24,24,12)-
t(24,24,20)s(16,40,12)-t(32,24,12)+
c(40,24,20)s(40,32,28)s(48,32,12)-+
s(32,24,28)c(32,32,20)*s(32,32,20)*
t(40,40,20)t(40,48,12)c(40,40,12)+*
s(24,40,28)c(40,32,20)t(24,32,20)+-
t(40,48,12)t(40,40,20)+s(32,32,28)*
s(16,24,20)t(16,40,12)+t(24,32,28)*
s(48,40,20)s(48,48,20)*s(40,24,20)-
t(40,48,12)c(32,24,12)+t(32,32,28)*
t(32,32,20)t(32,32,28)s(32,24,20)--
t(16,32,12)c(16,24,12)+s(48,24,20)+
c(16,32,12)c(32,32,20)s(40,24,28)*+
s(32,40,28)t(40,40,20)-s(24,24,28)-
s(40,40,28)s(24,48,12)-s(40,24,28)-
s(32,24,20)c(40,24,20)+c(48,40,12)-
t(32,40,28)t(24,48,28)*t(40,48,12)-
s(40,40,28)s(24,24,28)*s(24,32,20)*
s(40,40,28)t(40,40,20)-t(24,32,12)-
s(40,24,28)t(24,40,28)-s(24,8,12)-
s(40,48,20)c(40,32,20)s(16,40,20)-*
t(40,40,20)s(24,40,20)+t(16,40,12)-
s(40,24,20)s(32,24,20)+s(32,32,12)-
c(32,24,20)s(32,32,12)-s(24,24,28)*
s(40,40,28)s(32,40,28)s(48,48,12)-+
s(16,48,20)s(48,40,12)+c(24,32,20)-
s(16,40,12)s(32,48,20)c(16,48,12)-+
s(16,24,20)c(32,24,20)t(32,40,20)+-
s(16,16,20)s(24,32,28)s(16,48,20)*+
t(32,40,28)s(40,48,20)*s(48,48,12)+
s(32,48,12)c(32,32,28)t(40,48,20)*+
s(32,40,20)s(32,48,20)s(24,48,20)**
c(40,24,12)s(24,16,12)+t(32,40,20)-
c(40,24,20)c(16,48,12)+c(24,40,12)-
s(40,40,28)s(40,48,12)-s(24,32,12)-
t(32,40,28)t(24,40,28)s(16,32,12)-*
s(24,48,20)s(48,40,12)+s(40,48,20)*
t(24,32,28)t(16,48,12)t(24,40,20)+*
t(32,32,28)s(32,48,20)s(24,32,12)--
t(48,40,12)s(32,32,20)t(24,40,28)*+
c(24,32,20)s(32,48,20)t(16,16,12)+*
s(48,32,20)c(24,40,12)s(48,40,20)+*
c(32,24,20)c(40,32,20)s(40,24,12)--
s(40,40,28)s(32,40,28)t(48,32,12)-*
s(24,40,20)s(40,24,20)t(40,16,12)--
s(48,16,20)t(24,24,12)s(32,8,12)+-
c(32,24,20)s(24,24,20)t(40,40,12)+*
s(8,48,12)c(40,40,20)s(40,16,20)-+
c(32,32,20)s(16,24,12)+s(24,24,20)*
s(32,24,20)s(40,16,20)*s(24,24,28)*
s(32,40,28)t(24,48,28)-c(24,32,12)-
s(32,40,20)t(16,48,12)-c(24,40,20)+
s(40,40,28)s(16,24,20)-s(8,16,12)+
s(32,24,20)t(24,32,28)t(32,40,28)*+
s(48,16,12)c(40,48,12)+t(40,40,12)-
t(24,32,28)s(24,24,28)c(32,40,20)**
s(24,24,12)t(32,48,28)+s(32,24,20)*
t(32,48,12)s(40,32,20)s(40,24,20)*+
t(32,24,20)t(32,40,28)s(40,24,20)+*
c(40,40,20)s(40,48,20)*c(32,24,20)-
c(24,16,12)t(32,32,28)s(48,24,20)-+
s(24,40,28)s(40,40,20)*t(32,24,12)-
c(24,16,12)s(40,16,20)s(32,16,20)*+
s(24,48,20)c(24,24,20)t(48,48,12)+-
s(24,32,28)t(32,48,28)*s(40,40,20)+
s(40,40,20)s(32,48,20)t(40,32,12)-+
s(8,48,12)s(48,8,12)t(32,48,28)++
s(32,24,28)s(40,48,20)s(40,16,20)++
s(40,40,28)t(32,24,20)t(24,32,28)+*
c(32,32,20)s(24,24,28)c(32,24,12)--
s(48,48,12)t(32,32,28)+s(24,24,20)*
s(40,24,28)s(24,40,12)-s(40,48,20)+
c(48,40,12)s(32,48,20)t(24,56,12)-+
s(24,48,12)t(48,56,12)t(40,32,20)++
s(40,40,28)c(40,32,20)*s(24,32,12)-
s(32,40,28)t(32,48,20)s(48,48,20)+*
s(32,48,12)c(24,24,20)+s(32,16,20)*
s(40,48,20)t(24,48,12)+s(16,40,20)-
s(48,32,20)t(40,16,12)-c(24,32,20)-
c(40,24,20)s(24,16,20)-s(24,24,20)-
c(40,32,20)s(40,32,20)t(40,40,20)--
s(32,48,20)t(40,32,20)c(24,48,12)+*
s(40,24,28)s(16,24,20)-s(40,24,20)*
s(48,16,20)s(24,16,12)+s(32,32,28)*
s(16,48,20)t(48,40,12)+t(24,40,28)*
t(24,48,28)c(32,32,28)*t(40,16,12)+
s(32,24,20)c(40,40,20)c(48,24,12)--
t(24,32,28)s(24,24,20)+s(48,32,20)-
t(24,48,28)s(32,40,28)c(16,40,12)-*
t(24,40,20)c(32,32,28)t(40,48,20)*+
t(24,40,20)s(24,40,20)t(40,32,20)-*
c(32,32,28)s(16,16,20)-t(24,32,20)-
s(40,24,28)s(40,16,20)t(32,16,12)--
s(24,48,20)s(24,40,28)t(32,32,28)--
t(24,24,20)s(32,32,28)s(48,32,12)-*
c(32,40,20)c(24,40,20)*s(40,32,28)*
s(48,8,12)s(32,32,28)t(32,40,28)-+
t(32,32,20)c(16,40,12)-t(40,32,12)+
s(32,8,12)t(32,48,28)s(48,48,12)-+
s(24,16,12)s(40,24,28)s(48,32,20)*+
c(24,32,20)s(24,24,20)*s(48,40,20)+
c(32,40,20)s(40,24,28)t(24,24,20)+*
t(32,32,28)s(16,8,12)+c(16,48,12)-
s(8,16,12)s(32,24,28)+c(24,40,20)*
s(24,24,28)s(32,32,28)t(48,40,12)-*
s(24,16,20)c(32,24,20)s(24,40,20)+*
s(32,48,20)c(40,24,20)s(48,32,12)--
s(48,40,20)s(32,40,28)s(40,40,28)**
t(32,24,20)s(24,24,12)+s(32,16,20)*
s(32,32,20)s(24,40,20)s(40,32,20)--
c(40,24,12)t(32,24,12)s(24,24,12)++
c(24,32,20)s(48,40,20)t(32,40,28)*+
s(32,24,12)t(32,56,12)+s(48,32,20)+
s(16,48,20)c(24,32,20)+t(32,24,20)-
c(48,24,12)c(24,40,12)t(48,32,12)++
s(48,24,20)t(32,32,20)+c(32,24,20)-
c(24,40,20)c(32,32,20)*t(32,40,28)+
t(32,48,20)t(48,56,12)+t(40,48,20)*
s(24,16,20)c(24,24,20)*s(24,48,20)+
s(40,32,20)t(24,48,20)t(16,48,12)--
t(24,40,28)s(24,48,20)-s(48,24,12)+
s(48,16,20)s(40,32,28)t(32,32,20)-*
t(40,40,20)t(32,32,20)+s(32,16,20)+
c(40,24,20)s(32,24,20)s(24,40,28)**
c(24,32,20)c(40,24,12)-s(24,16,20)-
c(24,40,20)c(16,32,12)t(40,48,20)+-
t(24,40,28)s(16,48,12)-s(24,16,20)+
s(40,24,20)c(48,32,12)-s(32,32,28)*
s(16,24,20)s(24,48,20)t(16,56,12)--
t(24,32,20)s(8,32,12)+t(32,32,28)*
c(32,32,20)c(40,32,12)-t(32,24,12)-
c(24,32,20)s(24,32,12)s(8,32,12)+*
c(24,32,20)s(32,32,20)*t(32,48,20)-
t(16,48,12)s(40,48,12)+s(32,32,12)+
s(24,48,20)s(40,32,28)-c(24,48,12)+
c(32,32,20)s(16,32,20)c(40,40,20)--
t(32,40,28)c(40,24,20)*s(48,48,12)+
t(32,40,28)s(24,40,12)-s(40,24,12)-
c(40,24,20)t(32,32,28)s(32,24,28)**
c(24,32,20)s(16,48,12)-s(16,40,12)-
s(24,24,28)s(24,32,28)s(32,32,28)**
c(24,40,20)t(40,48,20)-s(32,16,20)-
s(16,8,12)s(32,16,20)+s(24,24,28)*
s(32,24,28)t(32,32,28)*s(48,32,20)-
c(48,24,12)c(24,32,20)+c(24,40,12)-
s(16,40,20)t(48,40,12)+t(32,40,28)+
c(32,32,20)t(32,40,28)t(24,48,28)+*
s(32,40,28)s(40,48,12)s(24,24,12)+*
t(24,32,28)c(24,16,12)-t(40,48,12)+
s(32,32,20)s(40,16,20)s(24,32,20)--
t(48,48,12)s(24,16,12)+s(32,16,12)+
t(32,40,28)c(48,24,12)c(40,16,12)++
c(32,32,20)c(40,32,20)c(16,40,12)+*
s(40,24,20)t(24,24,12)+s(32,8,12)-
s(40,40,28)s(24,24,12)-c(24,32,20)*
c(48,32,12)c(24,24,12)+c(40,48,12)+
s(16,40,20)c(24,24,20)c(40,24,12)-*
s(16,16,20)c(40,32,12)s(16,16,12)+-
t(32,32,20)c(24,40,20)t(24,32,20)--
t(24,24,20)c(40,40,20)s(24,40,28)*+
s(48,8,12)t(16,32,12)+s(40,32,12)+
t(48,56,12)s(24,24,20)+c(40,32,20)-
s(32,24,20)c(40,32,20)*s(32,16,12)+
s(32,32,12)t(32,56,12)+s(40,48,12)+
s(32,40,28)s(24,32,20)*t(24,48,28)*
s(24,16,12)t(24,40,28)c(40,16,12)++
s(40,48,20)s(16,48,20)+s(48,48,20)*
s(40,32,28)c(32,32,12)-c(32,32,12)+
s(16,40,20)s(32,40,20)t(40,48,20)+*
c(32,32,28)c(24,16,12)t(32,40,12)+-
t(32,48,28)t(40,24,12)+s(24,32,28)*
c(16,24,12)t(40,32,20)+t(40,24,20)-
c(32,24,20)s(40,32,28)*s(40,32,20)*
s(40,40,20)t(24,32,20)+s(16,24,20)-
s(40,40,20)t(40,32,20)+c(32,40,20)*
s(40,40,28)c(32,40,20)c(24,24,20)**
s(24,16,20)s(40,32,28)t(16,16,12)+*
t(32,40,28)c(24,24,20)c(40,48,12)+*
s(24,48,20)t(32,32,28)s(24,24,20)-+
s(40,48,20)s(24,32,20)-c(40,24,20)-
c(40,32,20)c(16,48,12)s(8,48,12)++
t(24,40,20)s(40,40,20)t(24,48,20)-+
s(8,40,12)s(24,40,20)c(40,24,20)-+
s(48,48,20)t(16,32,12)s(40,48,20)+*
s(8,48,12)s(16,40,12)s(8,32,12)++
s(40,40,28)s(32,24,28)s(48,8,12)--
t(40,48,20)s(16,32,20)+s(32,48,20)-
s(24,32,28)t(24,48,20)t(32,40,20)+*
s(40,40,20)s(24,40,20)s(24,24,28)*-
s(40,40,28)c(32,32,20)-s(40,48,20)+
s(32,32,20)s(16,32,12)+c(40,32,12)-
s(40,24,20)t(32,48,28)+s(40,40,20)*
t(32,40,28)t(32,32,28)*s(24,48,12)-
s(24,32,20)t(32,32,28)*t(24,32,12)-
s(16,24,20)s(24,24,20)t(48,24,12)+*
c(32,24,12)c(32,32,12)t(32,48,12)++
s(16,40,20)t(32,32,20)t(32,48,28)+-
t(40,56,12)t(32,32,28)+t(32,48,28)+
t(24,32,20)s(40,32,20)s(16,48,20)+*
t(32,24,20)s(24,16,12)-t(48,40,12)+
s(8,48,12)t(32,48,28)s(32,32,12)-+
t(32,40,20)s(24,40,20)s(24,24,20)*+
s(48,16,20)c(40,24,20)s(32,40,28)*+
s(32,32,20)c(40,40,12)+c(32,48,12)-
c(32,24,20)s(24,8,12)-t(32,16,12)-
s(32,32,20)s(40,40,12)c(24,40,12)+*
c(24,16,12)s(24,24,28)c(24,40,20)-+
c(32,32,20)s(48,16,20)-t(40,48,12)-
c(32,32,20)s(24,32,20)t(40,40,20)-*
s(48,32,20)s(48,40,12)-s(32,24,20)+
c(32,40,12)s(24,48,20)s(24,40,20)*+
c(32,24,20)t(32,32,28)-t(24,16,12)+
s(24,24,28)c(40,40,12)s(32,16,12)+*
c(32,32,28)t(32,48,28)t(24,48,20)-*
c(40,40,20)t(32,48,28)t(24,24,12)+*
c(16,40,12)t(40,48,12)+c(40,24,20)-
c(24,40,20)c(32,32,20)*c(40,24,12)-
s(16,16,20)c(40,32,12)+s(40,32,28)*
c(40,40,20)s(24,40,20)c(24,40,12)--
s(32,40,20)s(24,40,20)t(32,40,12)-*
c(40,32,20)c(40,24,20)c(32,24,12)--
t(16,24,12)t(32,48,12)+c(24,32,12)+
s(8,32,12)c(32,24,20)t(32,48,28)-+
t(24,32,28)s(24,24,20)*t(40,40,20)-
s(40,32,28)c(24,40,12)-t(40,32,20)*
t(24,48,20)t(40,32,12)s(16,32,20)++
c(40,32,20)c(16,48,12)+t(32,32,28)-
c(32,48,12)t(32,48,12)s(40,24,12)++
t(24,24,20)t(16,16,12)-s(32,24,20)+
s(40,16,20)t(24,48,28)+t(24,32,28)*
s(24,40,20)s(24,40,28)t(32,32,20)*-
s(32,32,28)c(40,32,20)*s(48,40,12)-
t(48,40,12)t(32,32,20)+s(32,32,20)*
s(16,24,20)s(8,16,12)t(40,24,20)++
t(48,56,12)t(32,48,20)t(40,56,12)-+
s(40,24,28)c(24,32,12)-s(40,32,20)*
t(16,16,12)s(48,40,12)t(24,48,28)++
t(32,32,28)s(8,16,12)t(24,40,20)+*
s(40,32,28)t(40,40,20)-s(32,32,28)*
s(32,24,12)s(16,40,12)+c(16,24,12)-
t(32,32,20)t(40,56,12)+t(32,40,28)*
t(32,32,28)c(40,32,20)s(48,32,20)*-
s(32,48,20)s(32,16,20)+s(16,40,12)+
t(24,24,20)s(24,32,20)s(16,48,12)-*
t(32,32,28)c(32,32,20)*t(24,32,28)*
s(32,40,20)t(32,24,12)s(48,48,20)+*
s(16,16,20)s(16,8,12)-t(40,24,12)+
c(40,40,20)t(32,32,28)t(40,24,12)-*
c(48,24,12)c(48,48,12)+s(40,32,28)*
s(40,40,20)c(32,40,20)s(40,24,12)-*
t(16,32,12)t(16,40,12)+c(16,32,12)+
t(24,32,28)s(32,32,20)c(40,40,20)**
t(48,24,12)t(32,32,20)+c(24,40,12)+
t(16,32,12)t(24,32,20)c(32,40,20)*+
c(40,32,20)c(40,32,12)s(16,40,20)+-
c(40,32,20)s(24,40,28)*c(16,40,12)+
s(40,16,12)c(24,40,20)+c(32,40,20)*
s(8,40,12)s(16,16,20)+t(24,32,28)-
s(48,40,20)s(24,32,20)s(32,32,20)*+
s(40,24,20)c(40,24,20)s(48,40,12)-*
c(32,24,20)c(40,24,20)*s(48,16,20)-
s(32,48,12)s(32,40,20)t(40,40,20)*+
s(40,32,28)s(24,32,28)c(40,24,20)+*
s(32,24,28)t(40,40,20)t(32,24,20)--
c(40,24,12)s(24,40,28)+c(24,32,20)-
t(32,40,28)s(24,48,20)*s(48,48,20)-
t(40,48,20)c(32,24,20)c(24,24,20)*-
s(24,24,20)s(16,32,12)-s(32,32,28)*
s(24,24,28)s(24,32,28)+c(40,32,20)-
c(40,40,20)s(32,40,20)s(32,24,20)*-
c(32,24,20)s(40,48,20)s(40,24,28)+*
s(40,32,20)c(24,40,20)c(32,40,20)**
c(48,16,12)t(40,32,20)t(40,40,12)-+
c(32,32,28)s(32,48,20)*c(32,32,20)*
s(40,16,20)s(32,24,20)c(40,40,12)-*
s(48,48,20)s(24,40,20)s(48,40,12)+*
t(32,48,28)c(24,40,12)-t(40,40,20)-
c(24,40,20)c(32,40,20)*c(40,24,12)+
s(16,32,20)c(40,40,20)s(32,32,28)*-
s(24,40,20)s(24,40,12)c(40,32,12)+-
s(40,24,28)s(48,32,20)*c(40,40,20)*
s(48,16,12)t(24,48,28)t(32,40,20)-+
s(32,24,20)s(24,32,28)c(24,24,20)**
s(32,40,28)s(48,40,20)s(48,24,20)*-
s(24,32,28)s(32,24,20)*t(48,40,12)+
c(32,32,28)s(16,16,20)t(40,32,12)+*
s(32,32,20)s(16,16,20)-s(48,32,12)-
s(40,24,20)s(24,32,28)+c(24,24,12)-
t(24,48,28)c(32,32,20)c(40,32,20)*-
s(24,40,28)t(16,16,12)c(40,40,20)+-
c(24,40,20)s(32,40,28)*t(32,48,20)*
s(24,48,20)s(48,24,12)s(32,40,20)+*
c(40,40,20)c(24,24,20)c(32,40,20)+*
c(32,40,20)s(24,24,28)*t(32,32,12)-
c(24,24,20)c(40,24,20)*s(48,16,20)+
s(32,40,20)s(48,24,20)-c(40,24,20)-
s(40,16,12)c(32,40,20)s(16,40,20)*+
s(32,32,20)t(32,40,20)c(24,32,12)+*
s(40,48,20)s(32,40,28)s(32,40,12)-*
c(48,48,12)s(16,48,20)s(32,48,12)++
s(48,32,20)s(32,24,28)t(32,24,12)-*
s(32,24,28)s(24,40,28)*t(32,48,28)+
s(32,16,12)s(24,48,20)c(40,24,20)-+
c(16,16,12)s(32,24,20)s(40,8,12)-+
s(16,32,20)s(24,40,20)*s(32,40,12)+
t(32,32,28)t(24,32,28)*t(32,48,28)*
c(24,40,12)s(32,40,28)c(40,32,20)*+
s(16,40,20)t(24,24,20)t(16,24,12)-+
s(24,32,28)t(24,24,20)s(40,32,20)+*
s(32,48,20)s(24,24,28)c(40,16,12)-+
s(16,32,12)c(16,24,12)+s(32,16,20)+
t(24,40,28)s(24,24,28)s(32,24,12)-*
s(24,40,12)t(32,48,20)+t(32,32,20)+
s(32,32,12)s(32,8,12)+s(32,40,12)-
s(40,40,28)s(8,48,12)+s(40,24,20)-
s(24,40,20)c(40,40,20)+c(40,24,20)*
c(32,32,28)s(16,16,20)*s(32,24,20)+
c(16,32,12)c(16,16,12)+c(24,32,12)-
s(32,16,20)c(24,40,12)+s(24,48,20)-
s(32,16,20)s(40,48,20)s(32,32,20)+*
s(32,32,20)c(16,40,12)s(40,48,12)++
c(48,16,12)s(40,24,20)+c(24,32,20)-
c(40,40,20)t(40,48,12)-c(32,40,20)*
t(24,40,28)s(16,40,12)-s(32,32,20)*
t(24,40,28)t(24,32,28)c(32,24,20)**
t(48,40,12)t(40,48,12)+t(24,40,28)+
s(40,40,28)t(32,56,12)s(40,32,12)+*
s(40,24,20)s(40,32,20)c(32,40,20)**
t(24,24,20)s(32,32,28)*c(32,32,20)*
c(24,32,12)s(16,32,12)+t(16,40,12)-
c(40,40,20)s(16,48,20)-t(40,48,20)-
s(24,40,28)c(16,32,12)s(48,24,20)+*
t(24,48,28)t(16,40,12)c(40,40,20)+*
s(16,24,20)t(16,56,12)+s(32,32,28)*
c(40,40,20)s(16,32,20)c(32,32,20)*-
s(32,32,20)s(40,32,20)s(40,40,12)-+
s(24,32,20)c(16,32,12)-t(32,48,12)-
t(32,24,20)s(40,24,20)s(48,40,12)-*
s(40,32,28)s(24,40,20)t(24,24,20)-+
c(32,40,20)t(48,48,12)-t(32,32,28)*
t(32,32,12)s(24,48,12)+s(32,48,12)+
c(32,32,28)s(24,48,20)c(32,32,20)--
s(32,32,20)s(40,40,28)*t(24,32,28)+
c(32,24,20)s(24,24,28)+s(48,16,20)*
t(40,48,12)s(40,32,20)c(40,48,12)-+
s(40,40,28)s(40,48,12)-s(8,8,12)+
t(16,24,12)s(40,40,28)+c(24,24,20)-
s(8,24,12)s(40,24,20)+t(40,56,12)+
t(24,48,28)s(40,48,20)t(24,16,12)+-
t(40,32,20)c(32,40,20)c(32,24,12)-+
s(48,48,20)c(16,24,12)+c(40,24,20)-
s(24,48,20)s(32,32,28)s(32,16,12)-+
s(32,24,12)c(24,40,20)+s(16,40,20)*
t(32,40,20)t(32,32,28)*s(16,16,20)+
c(24,24,20)s(32,24,28)*t(32,16,12)-
s(32,32,20)s(48,32,12)s(32,48,20)++
c(32,32,28)c(16,24,12)t(40,16,12)+-
s(32,16,20)s(48,24,12)-s(40,24,28)*
s(24,40,28)t(48,56,12)t(24,40,28)+*
c(24,24,20)c(40,40,12)-t(16,40,12)-
t(32,24,20)c(16,40,12)+s(16,48,12)-
c(24,40,20)t(32,24,12)s(48,40,12)+-
c(24,24,20)s(32,24,28)t(32,48,20)+*
t(24,48,28)c(16,48,12)-t(32,40,12)-
s(24,48,20)t(24,48,20)s(8,40,12)+*
t(32,40,28)c(32,32,20)*t(32,48,28)*
s(16,32,20)t(32,32,28)s(24,32,20)**
s(24,24,28)c(40,40,20)-t(16,56,12)+
t(24,24,12)s(48,16,20)+s(40,16,20)*
t(24,32,28)t(16,16,12)c(16,32,12)+*
s(40,40,20)t(40,24,20)-s(16,40,20)-
s(32,40,28)s(40,32,28)+c(48,24,12)-
c(40,48,12)c(24,48,12)+s(32,32,20)-
s(24,40,28)c(32,32,20)s(40,32,20)**
c(40,40,20)s(24,48,12)-s(24,40,20)-
t(24,40,28)t(32,48,28)c(48,40,12)-*
s(24,40,28)c(48,48,12)t(24,48,28)++
s(16,24,20)t(24,16,12)t(40,48,12)+-
t(40,56,12)s(32,16,20)+s(32,40,28)*
s(16,48,20)s(32,48,20)s(16,24,20)+*
s(40,32,28)t(32,32,20)-t(24,32,28)-
s(24,24,12)c(24,40,12)t(40,48,12)++
c(40,48,12)s(40,32,20)+c(24,40,20)*
s(48,16,12)s(48,48,20)c(24,32,20)++
s(32,24,28)c(40,24,20)s(48,16,12)--
s(32,24,20)s(40,48,20)-s(16,32,20)-
c(16,32,12)t(24,32,28)t(32,40,28)*+
s(40,40,28)s(48,32,20)t(32,48,28)--
t(24,32,28)s(40,32,20)t(40,24,12)-+
s(24,24,28)s(24,24,12)-s(16,24,20)*
t(32,32,28)c(32,48,12)-s(32,24,28)*
s(32,24,28)s(32,32,20)c(32,40,20)**
t(32,56,12)t(24,32,20)+s(40,40,28)*
t(32,48,28)t(32,32,20)-c(32,32,28)*
c(24,24,20)s(40,24,28)*s(16,32,20)-
c(32,32,20)c(40,16,12)t(40,40,20)+*
t(24,32,20)c(24,32,20)s(32,48,12)-*
s(48,16,20)c(16,32,12)s(32,32,20)+-
c(24,40,20)s(24,40,28)s(24,48,20)-*
s(32,40,28)s(24,40,28)c(16,24,12)--
c(24,32,20)s(32,24,20)s(32,40,28)**
s(32,32,28)s(24,24,28)c(48,32,12)++
s(32,16,20)c(48,16,12)-c(32,24,20)*
s(16,32,20)s(32,48,20)-t(32,16,12)+
s(24,32,20)t(48,32,12)s(24,16,20)+*
s(24,32,28)t(40,48,20)c(24,40,12)--
s(32,32,28)s(40,32,20)s(16,32,20)-*
t(24,48,28)t(24,56,12)t(32,32,28)+-
s(32,16,12)t(24,32,12)+s(32,32,28)*
c(32,32,20)s(40,48,12)c(24,40,20)+*
c(40,24,20)t(24,40,28)-s(48,32,20)*
s(48,24,20)c(24,40,12)c(48,48,12)++
s(32,24,28)s(40,40,28)c(24,32,20)**
s(48,24,12)s(40,40,28)s(24,32,20)*+
s(24,32,28)s(16,24,12)-s(32,40,28)-
c(40,40,20)t(32,40,28)c(24,24,20)-*
c(24,24,20)t(48,24,12)s(16,16,20)+*
s(32,32,28)s(8,48,12)+t(40,24,12)-
t(24,48,28)t(32,16,12)t(16,48,12)+-
s(16,40,20)t(32,40,28)-c(40,40,20)+
s(40,40,28)s(16,32,20)t(24,32,28)+*
t(32,24,20)t(48,40,12)+s(48,40,12)-
s(32,24,12)s(24,48,20)+s(24,24,28)*
s(48,40,20)s(40,32,28)t(32,32,12)-+
t(24,48,28)t(32,40,20)c(40,24,12)--
t(40,48,12)c(16,48,12)+s(32,32,12)+
s(16,48,20)s(32,48,20)-s(24,40,20)+
s(48,16,12)t(24,32,28)s(32,40,28)*+
s(24,40,28)s(32,32,28)s(24,16,20)*+
s(32,40,28)s(32,24,28)*s(16,32,20)*
s(40,40,28)s(24,32,28)*t(32,40,28)*
t(24,32,28)t(32,32,20)t(40,32,12)--
s(24,40,28)s(40,24,12)-s(40,40,28)*
s(40,32,28)t(24,32,20)-t(40,24,20)*
t(32,48,28)t(16,56,12)s(40,40,12)+*
s(32,24,28)c(24,40,20)s(24,24,12)--
s(24,24,28)t(24,40,28)-s(40,16,20)*
s(40,48,12)t(24,24,20)+c(24,40,20)*
s(32,32,28)c(40,32,12)s(16,24,20)+-
c(48,24,12)s(32,16,12)+s(32,24,20)*
s(40,32,28)t(40,24,12)-t(24,48,28)*
s(24,16,20)s(8,8,12)-c(16,24,12)-
s(40,24,20)s(40,32,20)s(24,32,12)+*
t(16,24,12)s(48,48,20)+s(24,32,28)-
s(40,40,20)s(32,24,20)c(40,32,20)*-
s(24,32,20)t(24,48,28)+s(32,40,28)*
c(40,24,20)c(24,24,20)-t(16,16,12)+
s(32,32,28)c(32,40,20)*c(40,24,20)-
s(16,16,20)s(24,40,28)+s(40,16,20)-
t(24,40,28)c(24,40,20)s(8,32,12)-*
c(32,16,12)s(48,24,20)c(48,24,12)-+
s(24,24,28)s(16,40,20)c(48,40,12)++
c(24,40,20)t(16,24,12)c(48,32,12)+-
s(32,24,28)t(24,40,28)s(48,40,12)++
t(24,48,28)t(32,24,12)t(24,40,12)+-
s(48,16,20)s(40,48,20)+s(16,32,20)+
s(40,24,28)t(40,24,12)-c(40,24,12)+
s(32,40,28)t(32,32,28)s(16,32,12)+*
c(32,32,12)s(16,40,12)+s(40,16,20)-
t(16,40,12)s(40,40,20)t(40,32,20)-+
t(40,32,20)s(16,40,20)s(40,24,28)-+
s(24,32,28)s(24,40,12)-s(32,40,12)-
s(16,40,12)s(24,32,20)s(32,40,20)*+
c(40,32,12)t(32,24,20)+s(24,32,28)*
c(40,40,20)s(40,24,20)t(24,48,28)--
c(32,32,20)s(24,40,28)t(32,32,28)*-
s(32,32,20)s(24,32,20)s(48,40,20)-+
s(32,32,20)s(24,16,20)+t(24,32,28)*
c(32,40,12)c(40,40,12)+s(40,24,28)*
c(40,32,20)s(16,32,20)+s(24,24,20)*
s(32,32,28)s(40,24,20)*s(40,16,12)-
s(32,24,28)s(40,24,28)*s(48,32,20)-
c(32,16,12)t(24,48,20)t(24,32,12)++
c(40,32,20)s(24,16,20)-s(40,48,20)*
c(24,48,12)s(32,24,12)+s(40,24,28)*
s(24,32,28)s(40,32,28)+c(40,24,20)*
s(32,40,20)s(24,48,12)-s(24,32,20)+
t(24,32,28)c(32,32,28)s(16,40,20)**
s(48,16,12)s(40,40,28)t(48,48,12)-+
c(40,32,20)t(48,40,12)-s(24,48,20)-
t(24,32,28)s(32,48,12)-s(8,40,12)-
s(16,32,20)s(32,24,28)t(32,40,28)*-
s(24,16,12)t(24,40,20)+s(24,40,12)-
c(32,24,20)t(32,40,28)s(32,32,28)*-
s(24,32,20)t(40,40,20)s(40,24,28)+*
t(40,40,20)s(16,40,20)+s(16,48,20)-
t(32,32,28)c(24,16,12)s(24,48,20)+*
s(16,32,20)t(24,56,12)t(24,32,20)+*
c(40,40,20)t(32,24,20)-s(32,32,28)*
c(32,32,20)s(40,24,28)*s(24,40,20)-
s(48,16,12)s(32,40,20)s(32,24,12)-+
s(24,32,12)s(32,24,12)+s(24,40,28)*
s(24,32,28)c(40,32,20)s(16,8,12)+-
s(16,32,20)c(48,32,12)t(40,48,12)++
t(32,48,28)s(24,24,28)-s(40,16,20)+
s(32,24,28)c(32,32,28)s(16,24,20)**
s(40,32,20)t(32,16,12)+s(40,16,20)*
c(24,24,20)s(48,16,20)-s(16,32,20)*
c(32,32,28)s(40,40,12)-s(16,40,12)-
t(16,56,12)s(32,8,12)t(40,48,20)++
s(32,32,28)c(48,48,12)s(40,24,12)+*
s(32,32,28)s(16,24,12)-t(32,24,20)*
t(24,56,12)c(24,40,20)s(24,32,28)*+
s(24,40,28)s(16,32,20)*s(24,32,12)-
c(32,32,20)c(16,32,12)t(24,32,20)+*
c(48,48,12)s(32,16,20)s(24,24,12)-+
t(24,32,12)s(40,48,20)+s(40,32,20)*
s(16,32,20)s(32,32,28)*t(32,32,12)-
s(48,32,20)s(24,24,20)-t(24,16,12)+
t(32,48,28)t(32,32,28)s(40,40,20)*-
c(48,32,12)c(24,40,12)+t(24,48,12)-
s(40,8,12)t(40,56,12)t(32,56,12)++
t(24,24,20)s(32,32,28)s(40,16,12)-*
t(32,40,28)c(24,32,12)t(32,48,12)+*
t(16,56,12)t(40,24,12)t(32,40,28)++
c(24,40,12)c(48,40,12)+s(48,24,12)+
s(40,32,20)c(48,48,12)t(16,48,12)++
s(16,48,20)c(24,32,20)*c(40,16,12)+
s(24,32,28)t(48,48,12)+t(32,32,12)-
s(32,24,28)t(40,40,20)-s(24,32,28)*
c(32,32,20)s(32,40,28)s(16,32,20)**
c(24,16,12)s(40,48,12)t(24,40,20)++
c(32,32,28)s(24,16,20)*s(40,32,20)-
t(24,48,28)c(16,24,12)s(40,32,28)+-
s(24,16,20)s(8,16,12)s(32,32,28)+*
s(48,40,20)s(16,48,12)+s(32,32,28)*
s(32,48,12)t(24,32,20)+s(32,32,20)*
c(32,32,20)c(24,16,12)-s(24,40,12)-
s(40,32,20)t(32,56,12)+t(32,32,28)*
s(40,40,20)c(48,24,12)+c(24,32,12)-
c(16,48,12)c(40,32,20)+c(16,32,12)-
s(40,32,12)c(32,40,20)s(40,48,20)*+
s(16,32,20)t(24,40,28)*s(40,24,20)-
c(48,16,12)s(32,40,28)s(24,32,20)*+
t(32,40,28)t(24,24,12)+s(24,32,28)*
c(32,40,20)c(32,32,20)s(24,48,20)*-
s(16,24,20)c(40,24,20)s(16,24,12)+*
s(48,24,20)c(40,32,20)*c(40,40,20)*
c(32,32,28)s(32,48,20)*c(40,32,20)*
s(32,48,12)c(24,24,12)+s(32,16,12)-
c(24,40,20)c(32,16,12)+s(40,40,28)*
t(48,16,12)c(16,16,12)+s(24,40,20)+
c(32,24,20)t(40,56,12)+s(40,32,28)*
c(32,40,20)t(32,32,28)c(24,40,20)*-
s(16,40,20)s(32,40,28)s(24,40,28)**
c(32,32,28)s(40,48,20)s(48,8,12)++
c(40,24,20)s(16,32,12)+s(24,24,12)-
s(24,40,28)s(24,32,28)c(32,24,20)**
c(40,48,12)s(24,24,28)+c(32,24,20)*
s(40,40,28)c(24,24,12)-s(48,32,12)-
s(40,40,28)c(40,40,12)-t(24,32,20)-
s(16,24,12)s(40,40,20)+s(32,40,28)*
s(48,24,12)s(40,48,20)s(32,40,28)*+
s(8,40,12)s(40,48,20)+s(32,40,20)-
s(32,24,20)c(40,16,12)-c(32,32,20)*
s(48,16,12)t(32,32,28)+s(24,24,28)*
c(32,32,20)c(24,48,12)-s(40,24,20)*
s(32,16,12)s(24,32,28)s(40,24,28)-+
s(40,40,20)t(24,24,20)+s(32,32,20)*
t(24,48,28)c(48,16,12)+t(24,32,28)*
c(24,24,20)c(24,40,20)*s(24,24,20)*
s(16,24,12)s(48,32,20)+s(48,24,20)-
s(40,24,28)c(40,32,12)-t(48,24,12)-
s(16,48,20)c(32,40,20)c(48,40,12)-*
s(24,40,28)t(32,32,12)-s(40,48,20)*
t(40,56,12)c(40,32,20)+s(40,24,20)*
t(24,48,20)c(32,40,20)s(32,32,20)*+
c(40,32,20)s(24,32,20)t(24,48,28)+*
s(32,16,20)s(32,32,20)s(16,48,20)--
s(8,24,12)s(24,16,20)+c(40,16,12)+
t(32,32,20)s(24,40,28)t(32,40,28)**
s(24,32,20)s(32,40,12)-c(40,16,12)+
c(32,40,12)s(24,16,20)+c(24,40,20)*
t(24,48,28)c(40,24,12)t(40,56,12)+-
s(24,40,20)s(40,40,12)-s(40,40,28)+
t(24,32,20)c(16,48,12)+t(32,40,20)-
c(24,24,12)s(48,40,12)+c(32,32,12)-
s(32,32,28)s(40,40,28)-c(48,16,12)+
c(32,32,20)s(16,32,12)-s(24,48,20)-
s(24,48,20)t(32,48,28)*t(40,48,12)-
s(48,40,12)c(40,32,20)c(24,40,20)*+
s(16,48,20)t(32,48,28)c(32,32,28)+*
t(24,40,28)t(32,48,28)t(24,48,28)*-
c(40,40,20)t(32,48,28)*c(24,40,12)-
t(32,32,12)t(24,48,28)t(24,32,28)*+
s(32,48,20)c(40,24,20)s(40,24,12)-+
s(24,24,12)s(16,48,12)+c(32,32,12)+
s(16,40,20)c(24,32,20)c(32,16,12)-+
t(24,32,20)c(32,40,12)+t(24,48,20)-
t(24,48,28)s(32,40,20)c(40,40,20)*-
t(32,32,28)c(24,32,20)*t(32,24,20)*
c(24,24,20)c(24,40,20)*s(24,40,12)+
s(40,40,28)t(40,48,12)s(32,16,12)+-
s(40,40,28)t(48,48,12)-s(32,40,28)*
t(24,40,28)s(40,16,20)c(16,32,12)+-
s(40,24,28)t(24,48,28)-s(40,24,20)*
t(40,56,12)s(32,16,12)+c(32,16,12)+
s(32,32,20)s(24,40,28)s(40,40,28)*+
s(40,16,20)t(24,40,28)-c(32,32,12)+
s(24,24,28)t(24,16,12)-t(40,40,20)+
t(24,32,28)s(16,40,20)t(40,48,12)+*
s(32,16,12)c(40,24,12)+s(48,40,12)+
s(40,32,28)c(40,40,20)t(24,32,20)-*
s(40,32,28)s(32,40,28)*t(24,40,28)*
c(24,40,20)t(32,48,28)c(24,32,12)-*
t(16,40,12)t(32,32,20)s(40,40,28)*+
t(16,16,12)s(48,32,20)t(32,32,28)*+
t(32,56,12)s(48,24,20)t(40,24,12)-+
c(24,16,12)s(16,32,20)+s(24,32,28)*
s(24,48,20)s(16,32,12)c(48,16,12)++
c(40,32,20)s(24,24,20)-s(48,40,20)*
t(32,32,28)c(40,48,12)t(32,24,20)+*
c(40,24,12)s(16,24,12)s(24,40,12)++
c(32,32,20)c(24,48,12)-t(40,32,20)-
c(24,40,20)s(40,24,20)s(40,32,20)*-
s(24,16,12)t(24,48,20)+s(32,24,20)-
c(32,16,12)s(24,40,28)+s(40,32,12)-
s(32,16,20)s(40,32,20)t(32,32,20)*-
s(40,48,20)s(48,24,12)c(40,48,12)+-
s(16,32,20)c(24,48,12)-s(16,16,20)*
s(24,32,12)s(40,16,20)+s(24,32,20)-
s(32,32,28)s(48,24,20)-t(16,24,12)-
s(32,40,28)s(24,40,20)t(24,24,20)-*
s(16,40,20)t(24,56,12)s(32,32,28)+*
s(24,48,12)t(32,32,28)c(32,32,20)*+
s(16,8,12)s(48,16,20)s(40,16,20)*+
t(32,48,20)c(40,24,20)+s(48,16,20)-
s(32,24,28)s(40,40,28)*s(32,48,20)+
t(32,40,28)s(40,24,28)s(40,40,20)--
c(32,40,20)s(24,48,20)s(32,48,20)*-
t(40,48,20)s(24,40,20)+t(24,24,20)+
c(40,40,20)c(32,48,12)t(40,56,12)+*
s(16,40,12)s(24,32,12)t(16,24,12)++
c(40,32,20)s(48,32,20)t(32,24,20)-*
s(24,40,20)s(24,8,12)s(16,48,12)+-
c(16,48,12)s(24,40,20)+s(24,48,20)*
s(32,32,20)c(24,48,12)+c(24,40,20)*
s(8,40,12)t(40,56,12)+s(32,48,12)+
t(32,32,20)s(32,32,28)c(32,24,12)-+
c(32,40,20)s(16,40,12)t(40,32,20)++
t(40,24,20)c(16,16,12)+c(32,32,20)*
s(32,40,20)s(16,32,12)+s(32,32,28)*
c(32,32,20)t(24,24,12)-s(40,24,28)*
s(16,40,12)c(40,32,12)+c(32,24,20)+
s(32,16,20)c(24,24,20)*c(24,32,20)*
t(24,48,28)t(48,32,12)t(16,48,12)+-
s(24,32,20)t(40,40,12)+s(48,16,12)+
s(32,40,28)c(24,32,20)t(24,56,12)+-
c(24,32,20)s(40,32,20)*t(24,48,20)-
s(16,40,20)t(24,40,28)*s(24,48,20)*
s(8,16,12)s(40,24,28)s(32,32,28)*+
s(40,24,20)s(16,24,20)-s(40,40,28)*
s(32,24,20)s(16,32,20)s(24,40,20)*+
c(24,32,20)s(24,24,28)*s(24,40,28)*
s(40,40,28)s(48,48,12)-c(24,40,20)-
s(16,24,20)s(24,24,20)*c(32,24,12)-
s(16,16,20)t(48,40,12)+s(24,40,28)-
s(40,32,28)s(32,24,20)s(16,24,12)-*
c(24,32,20)c(32,24,12)t(24,48,20)+-
c(32,40,20)s(40,48,20)s(48,32,12)--
s(24,40,12)t(32,24,12)+c(40,32,12)-
c(16,24,12)s(40,32,28)+s(16,24,12)-
s(40,24,20)c(40,48,12)s(24,24,28)+*
c(40,24,12)t(16,16,12)s(32,32,20)++
c(40,40,20)c(40,24,20)t(32,32,12)-*
s(16,40,20)s(40,32,20)+s(40,16,12)+
s(24,40,20)c(32,48,12)-s(40,40,20)-
s(24,24,20)s(40,24,20)c(32,24,20)**
t(32,32,28)t(24,16,12)+c(48,48,12)+
c(32,32,20)t(48,16,12)+s(24,48,20)*
c(40,24,20)c(32,16,12)-c(40,32,12)-
t(24,48,28)s(16,24,12)s(40,48,20)+*
s(48,48,20)t(24,40,12)+s(32,48,20)*
c(24,32,20)s(48,32,12)s(24,16,20)+*
c(24,24,20)s(40,32,28)s(40,48,12)-*
s(24,32,28)s(40,24,12)s(32,48,12)+*
c(32,32,20)c(40,40,12)-s(32,48,12)-
t(24,24,20)t(40,32,12)+t(24,48,12)+
s(24,40,20)s(24,40,12)c(16,24,12)+-
t(24,32,28)s(40,32,12)+t(24,48,20)-
s(24,40,20)s(32,32,28)s(32,40,28)*+
s(32,32,28)s(32,16,12)t(24,48,28)+-
t(32,48,28)t(24,40,28)s(8,40,12)-*
t(24,40,20)t(24,32,28)t(24,40,28)**
s(32,48,20)s(40,24,20)c(24,32,20)*+
c(24,32,20)c(32,32,20)*t(32,32,28)*
c(32,24,20)t(32,40,28)-s(32,16,20)*
c(32,32,28)s(32,24,20)s(40,24,12)--
s(40,40,20)s(48,40,20)s(24,40,20)-+
s(24,40,28)c(40,24,20)s(48,24,12)-*
c(32,32,12)s(48,24,20)+s(40,40,12)-
s(24,32,28)c(16,16,12)s(48,48,12)+-
s(24,16,20)s(24,40,20)-s(16,32,20)-
s(24,24,28)c(16,16,12)s(24,24,20)+-
t(16,56,12)s(32,32,28)+c(40,32,20)*
s(16,48,12)c(40,16,12)+s(40,16,20)*
s(32,24,20)t(32,32,28)c(40,32,12)-+
s(24,48,20)c(24,32,12)t(32,48,28)+*
t(32,32,28)c(32,32,20)*s(32,24,20)*
s(40,32,28)t(24,24,20)-t(24,48,12)-
t(32,56,12)c(24,24,20)+t(24,16,12)-
c(24,32,20)s(40,32,20)s(40,32,12)--
c(32,40,20)t(24,24,20)t(40,24,12)+-
s(32,24,20)s(40,32,20)s(24,32,20)*-
c(32,40,20)t(24,40,28)s(40,48,20)-*
s(32,40,20)s(16,40,12)-s(48,24,20)-
s(16,32,20)s(16,24,20)s(32,24,20)+*
s(40,24,28)s(8,40,12)+c(32,32,20)-
t(24,40,12)s(40,48,12)+s(16,32,12)+
s(24,32,20)s(32,40,20)s(8,16,12)+*
s(32,24,20)s(32,40,12)s(48,16,20)+*
s(24,24,28)s(40,40,20)t(24,40,12)-+
s(32,48,20)c(16,48,12)+t(40,48,20)*
c(32,40,20)t(48,48,12)-s(48,16,20)-
s(32,32,12)s(40,24,20)s(48,40,12)-+
s(40,32,28)t(32,40,28)*t(40,24,20)-
t(16,32,12)s(40,48,20)+s(32,48,12)-
c(24,32,20)c(40,32,20)c(32,24,20)*-
c(40,32,20)c(32,32,28)c(40,24,12)-*
s(32,24,12)s(40,48,12)+c(40,16,12)-
c(24,16,12)c(24,48,12)+c(32,32,12)-
c(24,24,20)s(40,24,12)-c(24,32,20)*
c(40,32,20)t(48,32,12)-c(32,32,20)*
s(40,24,28)s(40,40,28)s(32,32,28)*-
c(24,32,20)s(32,24,20)-t(32,48,28)+
c(40,24,20)c(40,40,20)c(40,24,12)+*
s(40,48,20)s(32,40,28)c(40,48,12)--
s(40,48,20)s(40,8,12)s(16,48,20)+-
s(32,8,12)s(8,48,12)t(40,40,12)++
c(32,40,20)s(24,32,20)t(32,40,28)*-
s(32,24,20)s(16,16,12)-s(48,32,12)+
s(16,32,12)s(8,48,12)+s(40,40,12)+
c(32,40,20)c(48,24,12)-s(16,48,20)-
s(24,32,20)s(24,16,12)t(24,48,28)+*
s(16,32,20)t(48,32,12)s(16,24,12)++
s(32,24,20)s(40,16,20)+s(32,24,20)-
t(32,40,28)c(32,40,12)s(16,24,12)+-
t(40,56,12)s(48,48,12)+t(24,48,20)+
s(32,24,20)s(40,40,20)t(24,32,20)+*
c(32,40,20)t(32,48,12)-s(40,40,20)*
c(24,40,20)t(24,24,20)-s(32,32,28)+
s(40,24,20)c(16,32,12)+t(24,32,28)-
c(40,24,12)s(40,48,20)t(24,56,12)-+
c(40,40,20)c(24,40,20)c(24,32,20)+*
s(48,8,12)c(48,32,12)+s(40,24,12)-
s(8,40,12)t(16,24,12)s(8,32,12)++
s(24,32,28)s(16,40,20)-s(40,16,20)-
s(40,24,28)t(16,56,12)+c(24,32,20)*
s(40,40,20)s(24,32,20)+s(40,40,28)*
s(24,24,12)s(24,24,20)s(24,16,12)-+
s(24,48,20)s(24,40,28)s(40,32,28)-*
s(32,40,28)s(40,48,12)t(32,24,20)+*
s(48,48,12)t(32,48,28)s(40,48,12)-+
s(48,24,12)c(32,32,20)+t(40,24,12)-
s(32,24,28)s(48,16,20)*c(32,32,20)+
s(32,24,28)t(48,16,12)c(32,32,20)+*
c(24,24,20)t(32,56,12)+s(16,16,20)*
t(24,32,28)s(48,16,12)s(16,16,20)+-
c(40,40,20)s(40,16,20)t(40,24,20)*-
c(32,40,12)s(32,16,12)+s(32,40,20)+
c(40,32,20)t(24,40,28)t(24,48,20)*-
t(32,40,28)t(32,24,20)-s(24,32,28)*
t(32,48,20)t(24,40,28)s(32,48,20)**
s(40,16,20)s(32,24,28)*s(48,24,20)+
s(16,48,20)s(32,24,28)s(24,32,20)*-
s(24,40,28)s(40,16,20)-t(24,40,28)*
t(40,24,20)s(24,32,20)+c(40,24,20)*
c(24,40,12)s(40,40,20)+t(16,56,12)+
s(48,24,20)t(32,40,20)c(32,24,20)+*
s(32,16,20)s(16,16,12)-t(40,56,12)+
t(48,56,12)s(48,8,12)c(40,32,20)++
s(32,40,20)c(24,24,20)+s(32,16,20)*
c(32,48,12)s(32,24,12)+c(32,24,20)*
s(8,48,12)s(32,32,20)+t(24,40,28)*
c(24,24,20)c(40,32,20)*t(32,40,28)*
s(40,40,28)t(24,32,20)s(24,48,12)--
s(40,24,28)s(24,32,20)s(16,16,12)+*
t(32,40,28)t(40,40,12)-s(24,48,20)*
s(24,48,20)s(16,16,20)t(40,40,20)++
s(48,48,20)s(48,8,12)+s(16,16,20)+
s(16,32,12)c(32,40,20)c(16,40,12)-+
t(32,32,28)t(40,32,20)-t(24,48,20)-
t(32,40,28)c(32,40,20)c(24,32,20)*-
s(24,32,20)c(40,24,20)c(40,40,12)--
s(48,8,12)t(32,48,12)t(48,16,12)++
s(24,32,28)t(32,40,28)*c(24,32,20)*
s(40,40,28)s(32,48,20)*s(40,24,28)-
c(24,40,20)t(24,32,28)s(40,24,28)**
t(16,16,12)t(24,24,20)+t(24,48,12)+
t(24,40,28)s(40,40,28)*c(24,40,12)+
s(16,48,20)s(32,40,28)*s(48,16,20)+
t(24,32,28)s(32,24,20)s(48,8,12)+-
s(24,40,20)t(24,32,28)+s(24,24,28)+
t(24,40,20)s(48,16,12)t(32,40,28)+*
s(24,40,28)s(40,40,28)s(32,16,20)--
s(24,32,20)c(24,40,12)s(32,16,12)+*
s(24,40,20)s(16,24,20)-s(32,32,28)*
t(24,32,28)s(16,16,20)c(24,24,12)+*
s(16,16,12)t(24,16,12)s(16,8,12)++
s(32,32,28)t(32,40,28)t(48,24,12)+-
c(32,32,20)t(32,40,28)c(32,32,12)--
s(32,32,28)t(32,40,28)t(32,24,20)--
c(32,32,20)s(40,32,28)*c(32,24,20)*
c(32,40,20)s(48,32,12)-s(32,16,20)+
s(32,32,20)c(32,32,20)c(16,24,12)-*
t(40,32,20)s(40,16,12)-c(24,48,12)-
c(40,24,20)c(40,32,20)s(24,8,12)+*
s(48,8,12)c(16,32,12)s(48,48,20)++
s(32,32,28)c(24,24,20)s(40,32,20)-*
c(32,24,20)t(24,32,28)*s(40,24,28)*
c(32,32,12)t(40,40,20)t(48,24,12)++
c(32,24,20)s(24,48,20)s(32,16,12)+*
s(24,48,12)s(48,48,20)c(32,40,12)++
t(40,24,20)t(24,32,20)-t(16,40,12)+
s(32,32,20)c(32,48,12)-c(24,24,20)*
s(24,24,20)s(40,32,28)*t(16,24,12)+
s(32,24,28)s(40,40,20)s(24,32,28)*-
s(40,32,20)c(40,24,20)s(48,24,20)**
s(40,40,28)c(48,16,12)t(32,48,28)+*
t(32,32,28)s(48,32,12)-t(32,40,28)*
c(40,32,20)s(24,32,28)c(40,32,20)*-
t(16,32,12)s(24,8,12)+t(32,24,12)+
t(24,24,20)c(32,32,28)c(16,40,12)-*
s(32,40,28)c(48,40,12)t(40,24,20)+-
s(16,24,20)s(16,8,12)-s(48,24,12)+
s(32,40,28)s(16,16,12)+c(40,24,20)*
s(32,16,20)c(48,32,12)+c(48,16,12)-
t(48,16,12)s(32,24,20)c(24,40,12)++
t(24,24,20)s(40,40,20)s(48,32,20)*-
t(24,40,28)s(40,24,12)c(24,32,20)+*
s(24,40,28)c(32,32,28)*s(32,24,28)*
s(40,40,28)s(32,40,28)c(24,40,20)**
c(16,24,12)c(32,32,28)s(24,16,20)*+
t(32,40,28)s(32,32,28)t(24,40,12)-*
c(16,32,12)s(24,32,20)t(24,24,20)*+
s(16,40,20)c(32,24,20)-t(40,48,12)+
t(24,40,28)s(16,24,12)-s(32,24,20)-
s(16,16,20)s(40,24,12)+c(24,40,20)+
s(48,16,12)s(32,16,20)+s(32,32,20)*
s(40,24,28)s(24,32,20)-t(32,40,12)+
c(32,32,20)s(40,16,20)*t(40,40,12)+
s(32,8,12)s(48,32,12)s(48,24,12)++
c(40,24,12)c(24,32,12)+c(24,32,20)*
t(40,24,20)s(16,40,20)t(32,48,28)+-
s(32,40,28)s(40,24,20)+s(16,32,12)-
s(24,24,20)s(32,24,20)*s(40,24,12)+
t(24,40,20)c(40,32,20)+s(40,32,28)*
s(40,48,20)s(16,48,20)+t(32,40,28)-
c(32,40,20)c(40,24,12)s(24,40,12)+*
s(40,32,12)s(16,24,20)+c(24,40,20)*
s(16,40,20)t(24,40,28)c(32,24,20)*-
s(32,16,20)c(40,24,20)s(48,32,20)-*
s(24,32,20)t(48,16,12)+c(24,24,12)-
c(48,32,12)s(32,16,12)+s(48,48,20)-
c(16,24,12)t(24,40,20)c(40,40,12)-+
s(24,40,20)s(32,40,12)-s(16,32,20)+
s(40,24,28)s(32,40,28)*c(24,40,12)-
t(24,24,20)c(32,24,12)+s(32,16,20)*
t(40,24,20)s(48,48,20)+s(48,8,12)+
s(24,32,20)t(24,32,12)t(24,24,12)+-
t(32,40,28)s(32,16,12)+t(32,24,20)*
c(32,24,20)s(40,24,20)c(40,32,20)*-
c(32,32,20)c(24,32,20)s(24,40,20)**
s(40,16,20)t(32,48,12)s(24,8,12)+-
s(32,40,20)t(32,40,12)-s(16,48,20)-
c(48,16,12)t(32,48,20)+t(32,40,28)*
t(24,40,28)s(24,32,28)t(32,32,28)+*
t(24,32,20)s(40,32,28)+s(40,40,28)*
s(32,8,12)t(24,48,28)c(40,40,20)*+
s(32,32,20)s(24,48,12)+t(24,40,28)*
s(40,24,28)c(24,24,20)*s(16,32,20)-
c(32,40,20)t(40,48,12)-s(16,24,12)+
s(16,16,12)s(40,40,12)s(48,24,12)++
t(24,48,12)s(24,40,28)s(40,32,20)*+
s(24,40,12)s(8,48,12)t(24,24,12)++
s(16,32,20)c(24,24,20)s(32,40,28)**
t(24,24,20)s(24,24,20)s(32,24,20)*+
s(24,24,20)c(32,32,20)*s(16,24,20)+
c(24,40,20)c(40,40,20)s(16,48,20)+*
t(32,24,20)t(32,48,20)+t(24,48,20)-
s(48,16,20)t(32,56,12)s(32,16,20)+-
t(40,24,20)s(24,24,20)+c(40,32,20)*
s(32,32,20)c(40,16,12)-t(32,48,28)*
s(48,24,20)s(40,40,20)+s(24,40,20)-
t(24,48,20)t(16,40,12)-c(32,40,12)+
s(24,8,12)c(40,40,20)c(48,48,12)-+
s(24,48,20)t(40,48,20)s(48,48,20)+-
c(32,40,20)c(40,24,20)t(32,40,20)--
s(32,32,28)t(24,16,12)-t(40,24,20)*
t(24,40,28)t(32,40,28)+s(40,24,20)-
s(24,48,20)c(16,32,12)+c(48,32,12)+
t(32,32,28)c(24,24,12)-s(32,16,20)+
c(32,24,20)s(24,24,28)*t(16,48,12)+
s(48,40,20)t(24,48,28)s(24,40,12)--
s(16,24,20)c(32,24,20)*s(48,40,12)+
s(32,24,20)s(32,40,20)*c(48,16,12)+
s(48,40,12)s(40,16,20)+s(40,32,12)-
s(24,32,20)s(24,16,20)c(24,40,12)+*
s(16,48,20)t(32,32,28)+s(32,24,20)*
t(32,32,28)s(48,40,20)+s(32,40,20)*
s(40,24,28)c(24,40,20)-s(40,32,20)*
t(32,24,20)t(40,48,20)s(32,48,20)*+
s(16,40,20)c(16,48,12)c(32,32,20)++
t(32,40,28)c(40,40,20)s(32,32,12)-*
c(24,40,20)s(8,24,12)+c(24,32,20)-
s(48,48,20)s(24,24,20)s(16,32,20)*+
c(24,40,20)c(32,32,20)s(8,16,12)+-
c(24,40,20)t(24,40,28)t(32,24,20)+*
s(40,40,20)c(40,24,20)c(32,24,20)*-
t(24,32,28)c(16,48,12)-c(40,32,20)*
t(32,48,20)s(40,8,12)+s(32,32,12)-
s(40,32,20)c(24,24,20)t(32,32,20)-+
t(24,40,28)s(40,32,20)s(32,24,20)*-
s(24,16,20)t(16,32,12)s(32,24,12)+-
t(32,40,28)s(24,24,28)s(40,48,20)+*
c(24,40,20)c(32,32,20)s(16,48,20)--
s(40,16,20)t(24,48,28)+s(48,48,20)-
t(32,48,28)s(32,24,20)+s(40,48,20)*
s(48,32,20)t(48,40,12)-s(40,32,28)*
t(24,40,28)s(40,24,28)*c(24,48,12)+
s(48,24,20)s(32,24,28)*s(16,16,20)+
c(32,16,12)s(24,24,20)+s(32,32,28)+
c(24,40,20)s(24,24,20)s(40,16,20)++
s(40,40,12)s(32,24,20)+t(32,32,20)*
s(24,24,28)s(40,48,20)s(24,24,12)+*
c(24,32,20)c(40,40,20)s(32,32,20)+*
s(40,32,20)c(24,40,20)s(8,32,12)+-
c(40,32,12)s(16,40,12)+s(48,16,20)-
s(32,32,28)t(40,48,20)s(24,32,28)+*
c(40,32,12)t(32,48,28)s(32,40,20)*+
s(48,16,20)s(24,40,28)-s(48,24,12)+
s(24,48,20)t(32,32,12)-s(32,40,20)-
s(16,48,20)c(32,40,20)*s(40,8,12)+
c(32,40,20)c(24,40,20)s(8,48,12)-*
c(24,32,20)c(32,32,20)t(40,24,20)-*
s(40,48,12)s(40,32,12)+s(48,40,12)-
s(40,24,28)s(32,40,28)*t(48,56,12)+
s(32,32,20)t(32,16,12)-s(40,40,28)*
s(16,40,12)s(48,48,20)s(32,48,12)-+
s(48,40,20)c(32,24,20)s(24,32,28)*-
t(32,48,28)c(16,32,12)c(48,24,12)++
t(24,48,28)s(16,40,20)*s(40,48,12)+
c(32,24,20)s(40,16,20)*c(40,32,20)*
s(32,16,20)s(32,24,20)+t(24,40,20)-
s(24,16,20)s(24,40,20)s(48,40,20)-+
t(24,48,28)s(32,32,28)-c(16,40,12)+
s(16,32,20)t(40,56,12)+c(24,40,20)*
t(40,32,20)s(24,24,20)s(24,40,12)--
s(32,32,20)s(40,24,20)c(40,40,20)-+
s(40,40,28)t(32,40,20)-c(24,48,12)-
c(24,40,20)t(16,32,12)c(40,48,12)+*
t(24,48,20)c(48,32,12)+t(32,40,28)-
t(32,24,12)s(16,32,20)c(24,32,20)*+
t(24,40,20)t(48,32,12)+s(8,24,12)+
c(32,40,20)t(24,40,28)t(16,32,12)-*
s(24,24,28)c(24,40,20)s(16,48,12)-+
s(48,24,20)s(40,24,20)s(40,40,28)**
c(32,32,20)s(24,32,12)-t(40,32,12)-
s(24,24,28)s(24,24,20)-s(40,32,20)+
s(32,40,28)t(24,48,12)-s(40,40,20)-
t(16,40,12)s(48,40,20)+c(32,48,12)-
t(48,24,12)s(32,16,20)s(32,48,12)++
s(40,24,20)s(32,40,20)t(24,40,20)-+
s(40,40,28)s(40,32,12)s(48,48,20)+*
c(40,32,12)t(32,48,12)+s(32,24,12)+
s(32,24,28)s(16,48,12)s(48,40,20)+-
c(32,32,20)t(32,24,12)-c(24,32,20)*
s(32,32,28)s(32,16,20)-t(24,48,28)*
t(32,24,20)s(24,24,28)s(40,24,20)**
c(40,48,12)c(40,24,20)s(48,32,20)-+
s(48,40,20)t(24,48,12)+s(24,16,20)+
c(32,40,20)t(48,32,12)-t(24,32,28)*
s(40,24,28)s(16,40,12)t(48,40,12)+-
t(32,32,28)c(24,40,20)*s(8,40,12)-
t(24,24,20)t(32,16,12)s(48,24,12)+-
s(24,32,28)s(8,24,12)-s(16,48,20)*
t(32,48,28)s(40,40,20)+c(16,32,12)+
s(32,32,28)s(24,24,28)*s(40,32,28)*
t(32,24,20)t(40,24,20)s(16,24,20)-+
t(32,40,20)t(40,40,12)t(24,32,20)++
c(40,24,20)c(16,16,12)+s(32,40,20)*
c(40,40,20)s(40,24,20)+t(40,32,12)-
s(32,40,28)s(40,40,28)t(24,40,20)++
c(32,40,20)t(32,40,28)*s(32,48,20)*
t(32,32,28)s(48,48,12)c(24,24,12)+*
s(24,40,28)s(48,24,20)t(32,48,28)+*
s(40,40,20)c(48,48,12)-s(48,24,12)-
t(32,32,28)s(24,24,28)*s(24,32,20)*
s(32,32,28)s(40,40,20)s(24,32,12)-*
s(24,40,28)c(24,32,20)*c(24,32,12)-
s(40,48,20)s(32,48,20)s(32,32,20)+*
s(32,24,28)s(48,40,20)s(48,48,20)*-
c(48,24,12)t(24,48,28)+t(16,48,12)-
t(16,48,12)c(40,24,20)c(40,40,20)-+
s(24,24,12)c(32,48,12)+s(24,40,28)*
s(40,40,28)s(48,32,20)s(32,24,28)**
t(24,48,20)s(40,32,28)+s(48,40,20)*
s(40,40,28)s(32,48,20)*c(40,24,12)+
c(40,32,20)s(24,24,20)c(48,16,12)+-
t(24,16,12)s(16,40,20)c(24,32,20)*+
s(32,40,28)s(40,40,28)c(24,24,20)*-
s(40,48,20)s(16,24,20)+c(24,24,20)*
c(48,48,12)s(32,24,12)+s(48,48,20)+
s(32,32,20)s(40,40,20)s(16,40,12)+*
t(32,40,28)s(32,32,20)t(24,56,12)+*
s(32,24,28)t(24,40,28)s(32,32,20)*-
t(40,40,12)c(16,40,12)s(24,16,12)++
c(24,40,20)c(48,24,12)+s(32,24,12)-
c(40,40,20)s(32,16,20)-t(40,32,12)-
s(40,40,20)t(32,48,20)t(24,24,12)+-
t(16,16,12)c(32,32,20)t(40,48,12)-+
s(24,48,20)s(24,24,20)+t(24,32,28)*
s(32,8,12)c(32,32,20)+c(24,32,20)-
s(32,32,28)t(24,40,12)-s(40,48,20)-
t(24,48,28)t(32,56,12)-t(24,32,28)*
t(24,48,28)c(32,24,20)s(48,32,12)-+
s(8,48,12)s(40,16,12)+s(16,32,12)+
c(24,40,20)c(16,40,12)t(48,56,12)+*
c(32,24,20)t(32,32,12)-s(24,40,28)*
s(32,24,20)s(32,32,28)t(32,32,12)-*
t(24,56,12)c(24,32,20)+c(32,16,12)-
c(32,40,20)c(32,16,12)+t(40,40,20)-
s(40,32,20)s(40,40,12)-c(40,40,20)*
s(24,32,20)s(16,24,20)s(32,24,20)*-
s(8,16,12)t(24,48,28)s(32,40,28)*+
c(24,40,20)t(40,40,12)-c(32,16,12)+
s(16,32,20)s(32,24,20)-c(40,32,20)+
c(48,32,12)s(32,40,12)c(16,32,12)++
s(32,48,20)t(40,40,12)-c(24,32,20)+
t(32,32,20)s(24,16,20)+s(40,16,20)*
s(40,24,20)s(48,24,20)*s(32,24,28)*
c(32,32,28)s(40,32,20)-s(48,40,20)-
s(24,24,28)t(32,32,28)*s(24,32,20)*
c(24,24,20)t(32,48,20)t(40,40,12)+-
s(32,8,12)c(24,32,12)+t(32,32,12)-
s(24,48,20)s(24,32,20)t(24,32,12)-+
s(32,32,12)s(32,40,28)s(48,40,20)-+
t(48,48,12)t(32,32,28)+s(8,16,12)+
s(40,32,20)c(24,32,12)c(48,32,12)+*
c(24,24,20)s(48,32,20)-s(32,24,28)*
s(40,40,28)t(32,32,20)*t(32,40,12)+
s(32,40,28)s(32,48,12)-t(40,32,20)*
s(48,16,20)t(40,32,20)c(40,48,12)--
s(24,32,20)t(40,40,20)c(48,24,12)-+
s(24,40,28)s(16,48,20)t(24,56,12)-*
t(32,40,28)s(32,24,20)t(32,32,28)*+
c(24,32,12)s(8,16,12)s(24,48,20)++
s(24,32,28)s(24,32,28)c(32,32,20)--
c(16,48,12)t(32,40,28)+c(48,48,12)-
t(24,32,20)c(32,40,12)+s(24,24,20)*
c(32,24,20)s(32,40,28)t(24,32,12)-+
s(16,16,12)t(48,56,12)t(40,24,12)++
s(40,32,28)s(32,24,20)*t(32,40,12)-
s(40,32,28)c(16,24,12)c(40,24,12)+*
s(24,16,20)s(16,16,20)*s(48,32,20)+
s(32,32,20)s(24,24,28)*s(16,32,12)+
c(24,48,12)c(48,48,12)+c(24,40,20)*
t(24,40,28)s(24,24,20)+s(40,24,20)-
s(40,40,28)t(24,48,28)*c(16,40,12)+
c(40,40,20)s(32,40,20)s(24,32,28)*-
s(32,32,20)c(40,40,20)*s(32,24,12)-
t(24,16,12)t(24,48,20)+c(40,24,20)-
t(16,32,12)c(32,32,20)s(24,40,20)-+
s(16,24,20)t(32,24,12)+s(32,32,28)*
s(24,48,20)t(32,48,12)-s(24,40,28)*
c(32,24,20)s(24,40,28)*s(16,16,12)+
s(24,40,20)s(16,40,20)t(32,32,28)--
c(32,40,20)c(24,32,20)*t(24,40,12)-
c(24,40,20)s(32,48,20)s(40,40,28)**
s(40,32,20)s(16,16,20)s(16,32,20)+-
s(48,40,20)t(24,24,12)+c(32,48,12)+
c(24,16,12)s(40,24,12)+t(40,24,12)-
t(32,40,28)s(32,24,28)*s(48,32,12)-
c(40,24,20)s(24,16,20)+s(24,32,28)*
s(40,32,20)t(24,24,20)c(24,40,20)+*
s(24,32,28)s(24,24,28)*t(16,16,12)-
c(32,40,20)s(32,48,12)c(48,40,12)++
t(32,24,12)t(24,24,20)s(32,24,20)*+
s(32,32,28)c(40,24,12)s(24,16,20)+*
s(40,24,28)s(32,16,20)c(48,16,12)+*
t(24,48,28)s(40,32,12)+s(32,48,20)*
s(40,24,20)c(24,40,20)t(32,32,20)*-
s(32,40,28)t(32,24,20)t(24,48,12)+*
s(24,24,12)c(24,32,12)+s(8,40,12)+
t(40,48,12)s(32,24,20)+s(24,32,20)*
s(32,24,12)t(24,48,20)+c(16,32,12)-
s(40,48,20)s(32,32,28)s(48,16,12)-*
c(48,32,12)c(24,40,20)c(24,24,20)-+
c(24,24,20)s(40,40,28)c(32,40,20)+*
t(24,56,12)s(40,24,12)+t(48,16,12)-
s(16,24,20)c(32,32,20)s(48,32,20)*+
s(32,16,20)s(32,40,20)s(24,24,12)-+
s(40,40,28)t(24,48,28)s(32,24,20)-*
c(32,40,20)s(48,32,20)*c(32,48,12)+
s(40,24,20)s(32,16,20)*s(24,32,12)-
c(32,32,28)s(16,40,20)c(40,40,12)+-
t(24,32,28)s(40,40,20)-s(24,40,12)+
c(24,40,20)c(40,32,20)s(32,24,12)--
c(32,32,28)s(40,40,20)t(32,32,28)*-
s(24,48,12)t(16,56,12)+s(24,32,12)+
s(32,32,12)t(40,48,12)+t(24,32,12)+
c(40,24,20)s(40,40,20)-s(32,32,28)*
t(32,32,28)s(24,32,20)*s(24,24,20)*
t(24,32,20)s(16,32,20)c(24,24,20)**
t(32,40,20)s(32,48,20)s(24,32,12)-+
s(40,24,28)c(32,32,20)c(32,40,20)**
s(40,32,12)s(48,48,20)+c(40,48,12)-
t(48,56,12)s(40,8,12)s(24,24,12)++
s(24,24,20)s(24,40,28)c(24,48,12)-*
s(24,40,28)t(32,40,28)*c(40,32,12)+
s(24,8,12)s(16,24,20)+s(24,40,28)*
t(24,40,28)c(32,32,28)s(48,32,20)*-
c(24,32,20)c(24,40,20)*c(32,40,20)+
s(24,32,28)s(24,40,12)c(32,24,20)+*
s(32,24,20)s(40,16,12)-s(40,32,28)*
c(24,40,20)s(16,32,20)t(32,32,28)*-
s(40,24,20)s(32,40,20)-s(40,40,20)-
s(48,32,20)s(40,48,20)s(24,40,12)-+
c(32,40,20)c(16,32,12)t(40,40,12)+*
c(24,32,20)c(32,24,20)s(40,32,12)-*
s(24,40,28)c(32,32,20)c(24,48,12)+*
s(48,32,20)c(48,16,12)-s(48,48,20)*
t(24,32,28)c(32,24,20)s(24,8,12)--
c(32,16,12)s(8,24,12)+c(24,40,20)-
s(40,32,28)c(16,48,12)c(32,40,20)+*
s(24,32,28)c(24,40,12)s(40,24,20)+*
c(48,32,12)s(16,16,20)+s(24,24,28)*
c(24,24,20)s(24,32,28)t(32,40,20)--
c(32,32,20)c(40,24,20)s(32,32,28)**
s(16,24,20)s(32,48,12)+c(16,32,12)-
s(40,40,28)c(24,40,20)t(48,32,12)+-
t(32,48,28)s(24,48,20)*t(40,48,12)-
s(32,48,20)s(40,40,28)s(24,24,12)-*
c(24,24,20)s(8,48,12)t(32,24,20)+*
s(40,40,20)s(8,40,12)+s(40,40,28)*
t(32,40,28)c(32,16,12)+s(40,32,28)*
s(24,40,28)s(32,24,28)t(24,48,28)--
s(40,24,20)t(24,24,20)s(32,8,12)--
t(32,40,28)s(32,48,20)*s(48,48,12)-
s(40,16,20)t(40,24,20)t(40,32,20)+-
s(16,16,20)c(48,32,12)t(24,32,20)+-
s(32,32,20)s(24,24,20)s(40,32,28)*-
s(32,40,20)c(16,40,12)-c(40,32,20)*
c(32,32,28)t(32,48,28)s(16,32,20)+*
c(32,24,20)s(32,40,12)-s(24,32,28)*
s(40,32,28)t(24,48,20)+s(32,24,28)*
c(24,40,20)s(48,32,12)+c(24,32,12)-
s(32,24,28)c(16,16,12)c(40,40,12)+*
s(40,24,20)s(40,32,28)s(32,40,28)**
c(32,24,20)s(40,24,28)*t(24,40,28)*
s(32,16,20)s(40,24,28)*s(48,32,20)-
c(24,40,20)c(40,48,12)+s(40,32,28)*
s(24,48,12)s(32,32,20)+t(24,32,28)*
s(32,32,28)s(16,24,20)t(40,32,12)+*
s(40,24,20)t(24,48,20)+s(24,24,28)*
c(40,24,20)t(32,32,28)t(32,40,28)**
t(32,48,28)t(40,48,20)*c(24,40,12)-
s(16,40,12)t(32,56,12)+t(40,24,12)+
s(8,24,12)s(24,8,12)+c(40,32,20)+
s(32,24,20)c(32,24,20)c(48,32,12)-*
s(40,24,28)s(48,16,12)-s(48,8,12)+
s(32,24,28)s(32,40,12)-s(24,24,28)*
s(24,48,20)t(48,16,12)+t(32,48,28)*
s(40,24,28)c(24,16,12)-t(16,32,12)+
s(40,24,20)s(8,24,12)+s(32,40,28)*
c(40,48,12)c(24,40,20)+c(40,32,12)-
s(32,40,28)c(48,24,12)s(48,48,20)+*
s(24,40,20)s(48,48,20)s(16,16,20)+-
s(24,48,20)t(32,40,28)s(32,24,28)*-
t(24,48,28)s(32,48,20)c(32,32,12)+*
c(32,40,12)c(24,24,20)+s(32,40,28)*
s(40,40,28)s(32,32,20)-s(48,48,20)*
s(32,40,20)s(24,24,12)-s(40,40,12)-
c(24,48,12)c(24,32,20)c(24,40,20)*+
s(8,16,12)s(24,40,28)+t(32,40,28)*
s(24,32,20)t(24,40,28)*c(16,48,12)-
s(16,32,20)s(24,48,20)-c(48,40,12)+
s(32,24,20)t(32,56,12)+t(40,24,20)*
s(24,48,20)s(16,40,20)-s(32,32,12)+
c(24,32,12)t(24,16,12)s(16,32,12)++
s(32,24,28)c(24,48,12)c(16,24,12)+-
s(48,16,12)c(40,40,12)+t(24,56,12)+
s(40,24,28)s(16,24,20)t(24,32,28)*+
s(16,40,20)c(24,24,20)*s(40,24,12)+
t(24,48,28)s(32,8,12)s(24,40,20)+*
c(32,24,20)s(48,48,12)+c(40,40,12)-
c(24,40,20)c(32,32,28)s(40,32,12)-*
s(24,48,20)t(16,48,12)-s(32,48,20)*
c(40,24,12)s(32,48,20)+c(24,24,20)*
t(32,48,28)s(40,40,28)+t(48,40,12)-
s(24,24,28)s(32,32,28)+s(48,32,20)*
s(40,48,20)s(32,48,20)s(32,32,12)-+
s(40,24,28)s(48,40,20)*c(16,24,12)+
s(48,16,12)c(24,32,12)+s(40,24,20)*
s(32,40,20)c(48,48,12)+c(40,24,20)*
c(24,24,20)t(32,40,12)-s(24,32,12)-
s(16,16,12)c(32,32,20)s(40,40,20)*+
c(32,32,28)s(40,32,12)s(8,16,12)+*
s(24,48,20)s(24,48,12)-t(32,48,12)-
t(24,48,28)t(40,32,20)-t(40,32,20)+
t(32,48,28)s(32,24,20)c(24,24,20)*-
s(32,32,28)c(40,32,20)-s(48,32,12)+
s(24,32,28)s(32,24,28)*c(32,16,12)-
s(40,24,20)c(32,32,20)s(32,24,28)**
c(32,32,28)s(32,40,20)-s(40,32,28)*
c(32,48,12)t(40,24,12)c(24,24,12)++
c(40,40,20)c(48,24,12)+s(40,24,28)*
s(32,48,20)t(48,40,12)+t(32,40,20)-
s(32,40,28)s(16,24,12)s(40,24,20)+*
s(24,32,28)s(32,16,20)-s(24,24,28)*
s(48,16,20)t(24,48,28)s(32,24,12)++
c(40,24,20)s(32,24,20)*s(32,40,12)-
t(32,32,28)c(48,48,12)s(8,24,12)+-
s(48,32,20)s(32,24,28)s(16,16,12)-*
c(24,32,12)c(40,24,12)s(48,16,12)++
s(24,16,20)t(32,40,20)s(48,16,20)+-
t(24,32,28)c(16,32,12)-t(40,40,12)-
t(40,48,12)c(32,24,12)+t(40,40,12)-
c(40,40,20)t(40,40,12)-s(32,40,12)+
s(24,40,20)s(48,24,12)s(24,24,20)+-
t(16,40,12)s(40,32,12)+s(8,48,12)-
c(32,24,20)s(24,24,20)-s(32,8,12)-
c(32,32,20)t(40,32,20)-s(24,32,20)*
s(16,32,20)c(32,48,12)+c(24,40,20)*
c(40,40,20)t(16,24,12)t(32,32,12)+-
s(48,16,20)t(32,40,12)t(40,56,12)++
s(16,32,12)c(40,32,20)s(24,40,12)-+
c(32,32,28)c(40,32,20)c(16,16,12)+-
s(48,16,20)s(40,32,20)c(32,40,12)+-
t(24,40,28)s(48,40,20)s(40,48,20)*-
t(24,24,20)t(24,48,20)+s(16,32,20)*
s(32,48,12)t(40,32,12)+s(48,16,20)-
c(24,24,20)s(16,32,20)*c(32,32,20)*
s(48,48,12)s(32,32,20)+s(40,32,28)*
c(24,32,20)s(32,32,12)s(40,16,20)+*
s(32,16,20)s(24,24,28)*c(16,16,12)-
s(24,24,28)s(16,40,20)*s(48,24,20)+
s(32,40,28)c(24,32,20)c(24,16,12)-*
s(48,24,20)t(16,40,12)s(16,16,12)++
c(48,48,12)c(40,24,20)+s(40,48,12)-
t(24,48,28)t(32,32,28)c(32,40,20)*+
s(40,24,12)s(32,32,28)s(16,24,20)*+
s(16,48,12)s(16,24,12)+t(32,48,12)+
t(48,48,12)s(32,32,20)+c(24,40,20)*
s(16,24,20)s(40,48,20)+s(32,24,28)*
s(48,40,12)s(32,32,12)+s(32,24,28)*
s(32,32,28)c(32,32,20)s(40,40,20)+*
s(40,32,28)c(32,32,20)s(32,40,28)**
s(16,24,20)s(24,48,20)-t(32,24,20)-
t(32,40,20)c(40,24,20)s(32,40,12)+*
s(24,32,20)c(32,40,12)-t(24,24,12)-
c(32,24,20)s(32,32,20)*t(48,32,12)+
t(24,48,28)t(32,56,12)-s(48,32,20)+
s(40,32,28)t(40,40,12)-c(24,16,12)-
s(40,40,28)t(32,40,20)-t(32,32,28)-
t(32,48,20)t(24,48,28)s(24,24,20)-*
s(32,32,28)s(24,24,20)*s(32,16,20)+
c(40,24,20)s(32,40,12)-s(40,32,20)+
s(40,32,20)s(32,40,12)-c(40,40,20)*
s(32,24,28)s(24,32,20)s(32,32,12)-*
s(48,24,20)t(24,48,28)+c(24,32,20)*
s(32,40,12)t(16,16,12)+t(24,32,12)+
s(40,32,20)t(32,40,12)-s(32,32,28)*
s(40,32,28)s(32,32,28)*t(32,48,28)-
s(16,24,20)s(24,48,20)-s(16,32,12)-
t(32,48,20)s(24,48,20)s(16,24,20)-*
s(24,40,20)s(40,32,12)s(32,48,20)+*
c(24,40,20)s(40,24,20)+t(24,24,20)-
s(40,40,28)c(32,40,20)*c(24,40,20)*
s(32,32,20)t(32,32,28)s(24,24,12)-*
c(24,24,20)s(48,48,20)+s(24,32,28)-
c(40,32,20)s(40,48,20)c(24,48,12)+*
c(40,40,20)s(24,40,12)-t(40,48,12)-
c(40,40,20)s(32,24,28)*t(24,32,20)+
s(8,48,12)s(40,32,12)+s(24,40,28)*
s(48,48,20)t(40,48,20)+t(40,40,12)-
s(24,40,28)c(24,48,12)-s(40,24,28)*
s(24,32,28)s(24,32,20)s(16,16,20)+*
s(16,48,20)s(32,48,12)+c(16,40,12)-
s(40,32,20)s(32,16,20)t(40,32,20)-+
s(32,24,28)c(16,32,12)-s(32,24,20)*
s(8,40,12)s(40,16,20)t(48,16,12)-+
c(32,32,20)c(40,40,20)t(16,24,12)++
s(40,16,20)c(24,24,20)*c(24,40,12)+
s(24,40,12)s(24,40,20)s(24,24,28)*+
t(24,32,20)s(24,40,28)c(24,24,20)**
t(24,24,20)s(32,8,12)c(24,24,12)+*
t(32,32,20)t(24,32,28)c(32,32,20)*+
t(32,40,28)c(40,40,20)+s(16,24,20)-
s(24,16,20)s(48,24,20)-s(48,24,12)+
s(40,32,20)c(32,32,12)t(40,24,12)+-
c(32,32,28)c(40,48,12)-t(32,48,28)*
t(32,24,20)c(48,48,12)+c(32,24,20)*
c(32,32,28)s(16,16,20)s(48,48,12)+*
s(40,32,28)s(32,24,20)*s(16,24,20)-
c(24,40,20)c(24,32,20)*s(24,24,20)+
t(24,56,12)s(32,32,28)+t(32,24,12)-
s(48,8,12)t(24,48,20)s(40,48,20)++
s(24,24,28)t(24,32,20)-s(24,16,20)-
s(24,16,20)t(32,48,12)+t(24,32,28)*
c(32,32,20)c(24,40,20)*s(24,40,12)-
t(16,40,12)t(24,32,20)t(48,56,12)++
t(32,32,28)s(24,40,28)*s(32,40,20)*
c(40,40,20)t(16,32,12)+c(24,40,20)*
t(48,16,12)t(24,24,20)+t(24,48,12)+
c(32,24,20)s(32,32,20)t(32,48,28)+*
s(48,40,20)c(24,24,20)-t(32,48,12)-
t(24,40,20)s(32,24,28)s(16,32,20)*+
s(32,32,28)s(48,32,20)+s(48,48,20)*
s(24,40,28)s(32,32,28)*s(16,40,20)-
s(40,24,20)c(32,24,20)*t(32,32,20)+
s(32,40,28)s(24,32,28)*s(16,32,20)*
t(32,40,28)c(40,32,20)s(32,48,20)*-
t(24,48,20)s(24,48,20)c(32,32,28)**
s(48,48,20)s(48,32,20)c(48,40,12)-+
t(16,16,12)c(40,24,20)+s(24,32,20)-
s(16,8,12)s(24,40,28)+s(24,16,20)-
s(16,48,20)t(32,40,20)+s(40,40,20)*
s(32,16,20)c(32,40,12)s(48,40,20)+-
t(40,48,12)c(32,32,28)s(24,48,20)*+
s(24,8,12)t(40,48,20)+t(32,48,28)*
s(32,24,28)c(48,24,12)-c(32,40,12)-
s(40,32,20)c(32,32,20)*t(40,24,20)*
c(32,48,12)s(24,24,20)t(32,40,20)-+
t(32,32,28)t(32,40,20)-t(24,16,12)+
s(24,40,28)s(8,24,12)s(48,40,20)+*
c(32,24,20)t(24,48,28)+s(24,16,20)*
s(24,8,12)s(24,40,28)t(32,48,28)*+
s(40,40,28)s(32,48,20)s(40,32,12)+*
c(24,24,20)s(32,24,28)c(32,40,20)**
c(40,32,20)s(48,48,12)+c(32,24,20)*
s(24,40,28)c(40,32,20)s(48,32,20)--
s(40,48,20)c(24,40,20)+c(40,32,12)-
c(24,24,20)c(24,24,20)s(16,32,20)--
s(40,32,28)c(48,40,12)-t(40,32,12)-
c(32,24,20)t(16,32,12)-s(16,32,20)-
c(40,32,20)t(24,40,28)s(40,40,20)+*
c(48,48,12)c(32,16,12)+c(40,48,12)-
c(16,40,12)s(24,24,20)s(40,40,12)++
s(24,32,20)s(48,24,20)t(24,16,12)+-
s(16,24,20)s(40,16,20)-c(16,16,12)-
c(32,40,20)s(40,32,28)*c(24,24,12)-
s(24,24,20)s(32,32,28)*s(48,32,12)+
s(24,32,20)s(40,24,28)c(32,32,28)**
s(40,40,28)s(24,40,20)*t(32,32,28)*
s(40,32,28)s(8,32,12)c(32,16,12)++
t(32,40,28)s(16,24,20)-s(32,24,28)+
c(32,32,20)s(16,32,12)-s(40,48,20)-
s(40,24,20)t(16,16,12)+c(32,40,20)*
s(32,24,20)s(32,32,28)c(24,16,12)-*
s(24,32,28)c(32,24,20)s(24,40,20)-+
c(24,32,20)c(40,40,20)t(32,48,12)-*
c(32,32,20)s(48,48,20)-c(40,32,12)+
s(40,40,20)s(40,24,28)*t(40,40,12)-
t(40,40,20)s(32,40,20)*c(16,48,12)+
s(40,40,20)s(16,40,20)-c(24,16,12)+
t(32,32,28)c(24,48,12)-t(16,56,12)+
c(40,24,20)s(40,32,28)s(24,24,20)**
c(40,40,20)s(32,48,20)*t(24,48,12)-
c(40,40,20)s(32,48,20)+c(32,40,12)-
s(16,48,20)s(24,32,28)s(16,48,12)-+
s(32,32,20)c(40,24,20)*s(16,16,20)-
s(32,40,20)s(24,48,20)t(32,32,12)+*
s(40,32,20)t(32,24,20)t(40,48,20)++
s(24,16,20)t(32,32,28)c(24,24,20)+*
s(32,16,20)s(24,40,20)c(32,40,20)*-
t(40,48,20)c(24,32,12)+t(32,40,28)*
s(40,24,20)s(40,40,28)s(48,48,12)-*
t(32,40,12)c(48,40,12)s(8,16,12)++
s(32,8,12)c(32,40,20)+c(40,32,20)-
s(32,40,28)t(24,32,12)-s(24,32,20)-
s(32,40,28)s(24,32,20)*s(16,32,20)*
s(24,32,20)s(40,40,12)c(24,24,12)+*
t(24,32,28)s(32,16,20)-c(24,24,20)*
t(32,16,12)s(40,32,20)+s(48,24,20)-
t(24,48,28)s(32,16,20)t(40,48,20)+-
s(40,16,12)s(32,40,20)+s(24,32,20)*
s(40,32,20)s(32,32,12)s(40,48,12)+*
s(40,32,28)s(40,24,28)*s(24,40,28)*
c(24,32,20)c(40,40,12)+s(40,40,20)-
t(24,32,28)c(24,40,20)+s(32,32,12)-
s(24,24,28)s(16,40,20)-s(24,32,12)+
t(32,40,28)s(40,32,20)c(48,16,12)-+
s(32,32,28)s(40,32,12)-s(32,24,20)*
t(32,32,20)c(40,24,20)t(16,16,12)+*
s(40,40,28)c(40,32,20)*c(24,24,20)+
s(24,32,28)s(40,16,20)+s(40,24,28)+
s(40,40,12)t(40,32,20)+s(48,32,20)*
s(32,16,12)c(24,32,12)+t(40,32,20)-
s(24,32,28)c(24,40,20)t(32,24,20)-*
s(32,32,28)c(24,40,20)*s(24,24,28)*
c(32,24,20)s(32,16,12)s(24,48,20)+*
s(16,24,20)c(32,24,20)c(40,24,20)+*
c(32,24,12)s(24,40,12)+t(40,16,12)+
s(24,24,12)s(32,16,12)+s(8,48,12)+
c(32,32,28)s(24,16,20)t(16,24,12)-*
s(32,40,20)t(24,32,28)c(32,32,20)**
s(32,32,28)t(32,32,28)-c(40,32,12)+
s(48,24,20)s(48,24,12)-c(48,40,12)+
s(16,16,20)c(16,24,12)-s(32,24,12)-
s(40,40,28)c(40,24,20)-s(32,48,20)*
s(24,24,28)s(32,24,28)s(32,32,28)**
c(24,32,20)t(32,24,20)*s(40,24,12)+
t(32,40,28)s(32,16,20)+s(40,40,20)*
s(40,24,20)t(40,16,12)s(8,8,12)+-
c(48,32,12)s(24,24,20)+s(32,16,20)-
s(24,32,28)c(16,32,12)-t(16,16,12)-
s(8,8,12)s(8,48,12)s(48,24,12)++
s(40,8,12)t(16,48,12)c(32,40,12)++
s(40,24,28)s(48,24,20)c(40,32,20)+*
s(32,48,20)t(24,48,28)*c(16,32,12)+
s(32,32,28)t(32,48,28)-s(32,24,20)*
c(40,32,12)s(16,8,12)+s(40,32,28)*
s(16,24,12)s(32,40,20)+c(40,40,20)-
c(24,32,12)s(48,24,12)+s(24,40,28)*
s(24,24,28)c(24,40,20)*t(32,32,12)-
s(32,40,28)t(24,40,28)*c(40,32,20)*
t(24,24,20)t(40,32,20)+t(40,32,12)-
s(24,40,28)t(24,32,28)+c(24,32,12)-
t(48,56,12)c(24,40,20)+s(32,48,12)-
c(40,24,20)t(24,48,28)t(24,32,28)+*
s(32,32,28)c(32,40,20)-s(40,40,28)+
s(16,16,20)s(16,40,20)-s(40,24,20)-
s(40,16,20)c(40,32,12)s(48,48,20)++
t(24,32,28)s(40,32,28)c(32,16,12)-*
t(40,16,12)s(32,40,12)+s(8,32,12)+
s(32,32,28)c(48,16,12)-t(32,40,20)-
s(48,16,20)c(40,24,20)s(24,48,20)+*
c(24,24,20)s(24,48,20)-s(24,32,28)*
t(24,32,28)s(16,32,12)-s(24,8,12)-
t(24,40,28)s(16,32,12)t(24,48,28)+*
t(24,40,12)s(16,8,12)+s(48,8,12)+
s(32,48,20)c(40,32,20)*t(32,40,20)+
c(32,24,20)s(24,40,28)*s(16,48,20)-
s(32,32,20)s(32,40,20)s(24,16,20)-*
c(32,32,20)c(24,40,20)*t(24,48,28)*
t(32,40,28)t(40,24,20)-s(32,32,20)*
c(24,40,12)s(24,16,12)+t(32,24,20)-
s(24,32,20)s(40,32,28)c(48,24,12)-*
c(32,32,20)s(40,32,28)*s(32,40,28)*
c(40,40,20)t(48,32,12)c(24,24,20)+-
s(8,40,12)t(40,48,12)+t(24,48,20)-
c(24,32,20)t(16,40,12)-s(32,24,20)*
t(40,32,20)s(16,48,20)-c(32,48,12)-
s(16,48,20)t(32,40,28)s(16,40,20)*-
s(32,40,28)s(40,32,12)s(8,40,12)+*
c(32,32,28)c(32,16,12)-t(24,32,28)*
s(32,40,20)c(40,24,20)*s(40,24,20)+
c(16,16,12)s(48,8,12)+c(16,24,12)-
s(40,32,20)t(24,40,28)c(32,32,20)*+
c(40,24,20)s(40,32,20)*s(48,24,20)*
s(24,32,20)s(32,32,28)s(32,16,20)-*
s(16,40,12)t(40,40,20)t(40,48,12)-+
s(40,40,20)c(32,40,20)+s(16,40,12)-
s(8,8,12)t(24,16,12)+s(40,24,12)+
c(16,16,12)c(40,24,12)+s(32,40,28)*
s(32,16,20)c(40,24,20)*t(40,32,20)+
s(16,48,20)s(40,32,20)+c(16,48,12)-
t(24,32,28)s(48,40,20)s(24,48,20)-+
t(32,40,20)t(24,32,20)+c(40,40,20)+
s(24,40,28)s(16,48,20)-c(24,32,20)+
s(32,40,28)t(24,32,28)*t(40,48,20)-
c(40,48,12)t(32,48,12)t(40,48,12)++
s(32,32,28)t(32,32,20)-t(24,32,28)-
t(32,32,28)s(48,40,20)-t(24,40,28)*
c(32,32,28)s(16,16,20)-s(48,24,12)-
s(48,48,20)s(40,32,20)s(24,32,20)*+
c(48,24,12)s(16,16,20)+s(32,32,20)-
s(32,48,20)t(24,24,20)s(16,40,12)+-
s(48,40,20)s(32,32,28)c(32,24,12)-*
s(24,16,20)s(32,40,20)-s(32,16,20)*
s(40,32,20)s(32,40,20)s(48,32,12)+*
s(32,40,12)s(48,24,12)+c(40,24,20)*
t(32,16,12)t(24,32,20)+t(24,32,12)-
t(32,24,20)s(40,40,12)-c(48,32,12)-
s(40,24,20)t(48,24,12)c(32,24,12)+*
s(16,16,20)s(40,48,20)c(16,40,12)++
s(32,16,20)s(24,16,20)*s(32,32,28)*
s(40,24,28)s(40,16,20)t(40,48,20)+-
s(40,32,12)s(16,40,20)s(8,40,12)-+
t(24,32,28)c(48,16,12)+s(40,24,20)-
c(48,24,12)t(24,40,28)s(16,40,20)*+
s(32,40,28)c(40,24,20)-t(24,48,20)*
s(32,40,28)c(24,40,20)t(24,24,20)+-
c(32,24,20)s(32,32,28)*t(32,32,20)-
t(16,32,12)s(40,8,12)+c(40,24,12)-
c(32,40,20)c(32,24,12)-t(32,24,20)-
s(32,40,28)t(40,24,20)-c(48,48,12)-
t(24,32,20)s(48,48,20)c(40,40,20)*+
c(48,40,12)s(24,40,20)+s(24,32,20)*
s(24,24,28)c(16,24,12)c(32,48,12)+*
c(24,40,12)s(40,48,12)+c(48,48,12)-
s(32,32,20)c(24,32,20)t(40,24,20)-*
s(24,40,28)t(32,32,20)-s(40,32,20)-
t(32,40,28)s(40,16,20)s(24,40,20)+*
s(24,32,28)t(24,40,12)s(32,16,20)+-
t(32,32,28)t(32,40,20)-c(48,24,12)+
t(40,40,20)c(40,32,20)s(48,40,20)**
t(40,56,12)t(32,32,28)+c(48,40,12)+
s(32,32,20)s(40,40,28)*c(24,40,20)*
s(48,40,20)s(32,32,28)t(40,24,20)*+
s(48,24,12)s(32,32,20)+s(24,24,28)*
c(24,40,20)t(24,40,12)-s(16,48,20)*
s(32,48,12)t(24,24,20)+t(24,48,12)-
t(24,40,20)s(48,48,20)-t(32,48,12)+
c(32,40,20)c(32,32,20)t(32,24,20)--
t(24,48,20)s(48,16,12)+s(32,24,20)-
c(32,32,20)t(40,40,20)*s(8,24,12)+
s(48,24,20)s(32,40,12)s(32,32,12)+-
c(32,32,28)t(24,48,28)*s(32,24,20)-
t(24,32,20)s(48,16,12)s(16,8,12)++
c(40,40,20)s(32,32,28)s(16,48,12)-+
s(32,48,20)t(24,40,12)-s(48,48,12)-
t(32,24,20)t(40,40,12)+s(40,24,12)-
s(32,32,20)s(40,24,28)*t(32,16,12)-
s(32,32,12)s(32,16,20)s(48,16,20)-+
s(24,24,20)c(32,40,20)t(24,24,12)--
c(32,40,20)c(32,24,20)c(24,40,20)**
s(32,32,20)t(48,40,12)s(16,16,12)+-
s(32,40,20)t(24,24,20)-s(48,16,20)+
s(40,40,20)c(40,32,20)*t(32,40,28)+
t(32,32,28)c(40,24,20)s(32,24,28)**
s(24,24,20)t(24,24,20)s(48,32,20)--
t(32,48,28)s(8,32,12)s(40,40,20)+-
s(24,40,28)s(24,32,28)*c(24,32,20)*
s(16,24,20)t(32,56,12)+c(32,32,20)*
s(16,32,12)s(16,16,12)+s(8,32,12)-
t(24,48,20)c(16,32,12)c(32,24,12)++
c(32,16,12)c(40,40,12)+c(16,16,12)+
c(32,24,20)s(48,40,20)t(24,48,12)+-
t(32,32,28)t(48,56,12)s(32,32,20)+*
s(32,24,28)s(40,24,20)t(40,40,20)-*
s(32,24,28)t(32,48,28)s(32,16,20)+-
s(24,40,20)t(24,48,28)s(40,40,28)**
s(40,24,20)s(40,16,12)-s(40,16,20)+
c(32,32,20)s(48,24,12)t(24,40,12)+-
s(32,40,20)c(40,32,20)c(40,24,20)**
t(48,48,12)t(24,32,20)+s(40,40,28)*
t(32,56,12)c(40,24,12)+s(32,32,12)-
s(40,32,20)c(48,16,12)s(24,24,28)+*
s(40,24,20)t(32,40,28)t(24,24,20)+*
s(48,16,20)c(16,16,12)s(40,24,20)+-
c(24,32,20)s(32,8,12)t(24,40,28)+*
s(40,24,28)s(40,16,12)-s(24,40,12)-
c(32,24,20)s(32,32,28)c(48,48,12)-*
s(24,24,28)s(40,24,12)s(16,16,12)+*
s(32,48,20)t(24,48,12)-s(40,48,20)+
s(40,32,28)c(32,32,20)t(24,48,28)**
c(40,24,20)s(48,16,12)-s(32,24,12)-
s(32,32,28)c(40,40,12)-s(24,32,12)-
s(32,24,28)t(32,40,28)t(48,56,12)+*
t(40,40,20)s(40,40,20)c(24,32,12)-*
t(32,32,28)s(48,24,20)t(32,32,12)+*
s(24,40,28)s(32,48,12)-s(24,32,20)*
s(40,40,12)s(24,32,28)t(40,40,12)-+
t(16,16,12)s(16,48,20)s(24,40,28)*+
s(24,24,12)c(32,32,20)t(40,24,20)*+
t(24,16,12)s(32,40,20)+s(32,24,28)*
t(32,32,28)c(24,32,20)*t(32,24,20)*
s(40,24,20)t(32,40,28)t(24,32,20)--
c(40,32,20)s(40,24,20)*s(40,40,20)*
s(32,40,28)t(24,56,12)s(40,16,12)++
t(32,48,28)c(32,40,20)s(24,48,20)**
s(40,40,20)c(32,40,20)*t(32,48,28)*
c(24,40,20)s(24,40,20)t(32,48,12)--
t(32,56,12)s(24,24,20)s(32,32,28)*+
s(40,32,28)t(32,40,28)*s(40,32,20)*
s(8,16,12)s(32,48,20)c(40,32,20)*+
s(16,48,20)c(16,48,12)-t(32,32,12)+
s(32,24,20)s(32,32,20)t(40,40,20)-*
c(40,32,20)t(32,48,12)s(40,48,12)+-
c(24,32,12)s(24,40,28)s(24,24,20)*+
s(40,32,28)t(24,24,12)-s(32,32,20)-
t(24,40,28)s(40,40,12)-s(16,16,20)-
c(24,32,20)c(32,48,12)s(32,16,20)+-
s(8,16,12)t(48,40,12)+t(16,24,12)+
s(24,40,28)c(32,32,28)s(40,32,12)-*
t(24,32,28)c(24,32,20)c(24,40,20)**
s(24,32,20)c(32,32,20)c(32,40,12)--
s(32,24,28)s(32,48,20)-c(32,24,20)*
s(8,8,12)c(32,32,20)t(24,24,20)-+
s(16,16,20)s(24,32,12)-t(24,32,28)+
t(40,48,20)s(16,48,20)+t(40,48,20)-
s(24,24,12)s(40,32,28)s(24,32,12)-+
s(48,40,20)s(48,48,12)t(16,56,12)+-
s(32,32,20)s(48,24,20)-s(32,24,28)*
t(32,48,28)t(40,56,12)-s(48,32,20)-
s(32,24,28)s(48,40,12)-s(40,32,20)-
s(40,32,28)s(32,32,28)*s(24,24,28)-
t(32,40,28)s(40,32,28)s(16,24,20)-*
s(24,32,28)s(32,24,28)t(24,16,12)--
s(32,40,28)t(32,16,12)c(48,40,12)++
s(40,48,20)s(16,16,20)c(40,32,12)++
c(32,24,20)c(24,16,12)c(40,40,20)+*
c(40,40,20)s(48,16,20)-t(40,40,20)*
s(48,32,20)c(32,32,20)*t(32,48,20)-
c(32,16,12)s(48,24,20)s(32,24,20)*+
t(24,40,28)s(16,40,20)t(40,24,12)+*
s(24,24,20)s(40,16,20)s(32,24,20)*-
s(48,32,20)c(40,40,20)t(32,48,12)-*
t(32,48,28)t(24,24,20)-c(40,40,20)*
s(16,32,12)s(16,48,20)s(24,32,20)-+
t(16,56,12)t(24,32,20)s(8,32,12)-+
t(16,24,12)s(24,48,20)+c(40,40,20)-
s(24,40,28)s(16,24,20)-t(32,32,20)+
s(32,48,12)c(24,24,20)+s(16,32,20)-
c(24,24,20)s(24,32,20)*s(8,40,12)+
s(40,16,20)s(24,40,28)-c(32,32,20)-
t(32,40,28)s(40,40,28)c(32,40,20)**
s(16,32,12)t(24,48,20)+t(24,24,20)-
s(48,32,20)s(48,16,12)s(48,40,12)+*
s(32,32,28)t(32,48,28)c(40,40,12)--
s(16,32,20)c(24,32,20)s(16,16,12)+*
t(40,24,20)c(40,24,12)s(16,40,12)+*
c(24,40,20)s(32,32,20)+s(40,8,12)+
c(24,32,20)s(32,48,20)*s(16,48,12)+
s(24,32,20)t(24,40,20)s(16,40,12)+*
s(32,32,20)s(16,32,12)s(32,8,12)+-
s(32,48,20)t(40,56,12)-t(16,40,12)-
t(24,40,20)s(24,48,20)+s(32,48,20)*
c(16,24,12)t(24,40,28)+c(32,24,12)-
t(32,32,12)s(32,48,20)+s(8,16,12)+
s(48,48,20)s(32,8,12)+c(24,24,12)+
c(24,24,12)s(48,8,12)t(40,16,12)++
s(24,40,28)s(16,24,12)-t(24,40,20)*
s(32,40,28)t(32,32,20)c(24,48,12)--
s(32,40,28)s(40,40,28)*c(24,48,12)-
s(16,32,20)c(32,32,28)s(32,40,12)-*
s(40,16,12)s(24,40,12)+s(24,24,28)*
s(48,32,20)c(24,40,12)t(40,40,20)+-
s(24,16,20)t(24,24,12)-s(32,32,12)+
t(40,24,20)t(32,48,12)+c(24,48,12)-
s(32,48,20)t(32,48,28)c(40,40,20)**
t(24,48,28)s(32,24,12)s(32,48,20)+*
s(48,48,12)s(8,24,12)+s(40,16,12)+
s(24,32,28)s(40,40,12)t(24,40,20)+*
s(48,24,20)t(24,48,28)+s(24,32,20)*
t(24,40,28)s(24,16,20)c(40,40,12)+*
s(48,16,20)t(48,32,12)+s(40,32,20)*
s(32,32,20)s(48,24,20)c(48,24,12)--
c(16,24,12)s(24,40,20)+c(16,48,12)+
t(32,32,20)s(24,32,20)+t(24,32,28)*
s(32,32,28)s(40,32,28)c(32,32,20)*-
t(24,40,20)s(24,24,28)+c(24,40,12)-
t(32,32,28)s(32,24,28)s(48,16,20)-+
t(48,16,12)t(32,24,12)s(32,40,12)++
s(32,48,20)s(24,40,28)s(40,40,20)**
s(16,32,20)s(40,24,28)+s(40,16,20)-
s(40,40,20)s(32,40,20)*t(24,40,12)+
s(8,8,12)s(48,24,20)+t(24,32,28)-
s(24,32,20)c(40,24,12)-s(24,48,12)+
t(40,40,20)s(48,16,12)t(24,24,20)+-
s(24,48,20)t(16,32,12)c(40,32,20)+-
c(24,32,12)s(32,8,12)+t(24,32,12)-
c(32,32,20)s(16,48,20)c(32,24,20)+*
s(16,16,20)s(32,16,20)s(8,24,12)+*
s(24,24,28)s(32,40,28)-s(40,24,20)-
t(24,48,20)s(40,32,20)s(24,32,28)*+
c(24,24,20)s(32,40,20)s(32,32,20)**
s(24,32,28)s(32,16,20)-t(32,40,20)*
t(32,48,28)t(32,40,28)*t(40,56,12)-
t(32,32,20)t(48,16,12)s(40,32,20)++
s(32,40,12)t(24,32,20)s(16,24,12)-+
s(48,32,20)t(32,24,20)-s(48,24,12)+
s(24,40,20)s(8,48,12)+s(40,48,12)-
c(48,24,12)s(32,40,12)+s(40,32,20)*
c(32,32,28)s(24,48,20)s(32,48,12)-*
s(32,40,28)t(40,48,12)-c(16,24,12)-
t(24,48,20)c(16,32,12)s(48,48,12)+-
s(48,40,12)t(24,24,12)+s(24,8,12)+
t(32,48,20)c(40,40,20)c(48,24,12)-*
t(32,32,20)s(32,40,20)+s(16,40,20)*
t(32,32,28)s(40,24,28)+c(32,32,28)*
c(32,40,20)c(40,48,12)s(24,24,12)++
s(40,32,28)c(16,48,12)+c(24,16,12)-
s(48,40,12)s(24,24,20)+s(32,40,12)-
s(24,40,20)t(24,56,12)s(24,24,20)+*
s(16,48,20)t(24,48,28)*t(24,32,28)+
t(32,48,20)s(40,24,20)t(40,32,20)*+
c(24,24,20)t(24,16,12)-t(32,32,28)*
s(40,32,28)s(40,16,12)-s(24,40,28)*
t(32,32,28)s(32,24,20)*s(24,24,20)*
c(24,40,20)c(24,48,12)c(32,40,12)+-
s(32,32,28)s(16,24,20)-s(32,24,28)*
s(24,32,28)s(32,16,20)s(48,16,20)*+
t(32,16,12)s(48,48,12)+s(48,48,20)+
s(40,16,20)s(32,24,20)-t(48,16,12)+
s(40,24,20)s(24,32,28)t(24,48,20)-*
s(32,40,28)t(24,32,20)*s(8,40,12)-
s(40,48,12)t(32,48,20)+t(40,32,20)-
c(32,40,20)s(16,40,20)-s(40,32,28)*
s(40,40,20)s(48,16,20)s(48,32,20)*-
s(40,16,20)t(32,56,12)s(48,32,12)+-
s(48,16,20)s(32,48,12)+t(32,40,20)-
s(40,40,28)s(48,24,20)-s(24,40,28)*
c(32,24,20)s(24,24,12)-s(16,48,20)-
t(32,32,28)s(24,24,28)*s(24,48,20)-
c(24,40,20)t(32,40,12)-s(16,16,20)-
s(48,24,20)s(40,40,28)s(48,16,20)--
c(24,32,20)s(16,32,20)c(32,32,12)--
t(32,40,20)s(48,32,20)+s(32,24,12)-
s(32,32,20)s(24,16,12)-s(40,16,12)-
t(16,48,12)c(48,40,12)+t(40,24,20)-
c(40,16,12)s(24,8,12)+s(40,48,20)+
c(32,32,20)s(40,32,20)s(16,32,20)-*
c(48,16,12)c(32,40,12)+s(40,32,20)*
s(40,48,12)c(48,16,12)+c(32,40,20)-
t(24,56,12)c(40,24,20)+t(40,40,12)-
s(32,40,20)s(24,24,28)c(40,32,20)+*
s(48,24,20)s(48,32,20)*t(24,48,20)+
c(24,32,20)s(16,24,12)c(24,24,12)+-
t(32,40,28)t(24,32,28)s(16,32,20)*-
c(40,40,20)s(32,32,20)c(24,48,12)+*
t(24,40,20)s(40,24,28)c(24,24,12)-+
s(8,8,12)t(24,48,20)+s(16,48,12)-
s(48,8,12)s(32,40,20)+s(32,24,12)-
s(24,32,20)s(16,48,20)+t(48,40,12)+
s(24,40,28)s(32,40,20)-t(24,32,28)+
t(32,40,20)c(16,40,12)+s(32,24,28)*
s(40,32,28)s(32,24,28)t(24,24,20)--
t(32,40,20)c(32,24,20)+s(40,40,20)*
s(32,32,28)c(24,16,12)-s(40,24,12)-
c(40,32,20)c(24,40,12)+t(32,32,20)-
t(32,32,20)s(8,48,12)+t(24,32,20)-
s(16,32,20)c(24,32,20)t(32,24,12)-*
s(24,24,28)t(24,48,28)s(40,24,20)+*
t(32,32,28)s(24,24,20)+s(24,32,28)*
s(16,40,12)s(32,16,20)+c(40,32,12)-
c(32,24,20)s(16,32,12)c(32,48,12)++
s(40,40,28)c(40,48,12)-s(48,32,20)+
s(40,48,20)s(40,32,20)t(32,32,28)*-
t(32,40,28)s(24,16,20)-s(40,32,28)*
c(40,24,20)s(24,24,28)*c(48,40,12)-
c(32,16,12)c(32,40,20)+s(24,32,20)-
s(16,40,20)t(24,32,28)t(24,40,20)*-
s(32,16,20)s(8,8,12)+s(40,24,20)*
s(24,40,28)c(32,24,12)c(48,24,12)+-
s(16,40,12)c(16,24,12)+s(24,40,28)*
s(48,32,20)s(32,40,20)c(24,32,12)--
c(24,32,12)s(40,32,28)s(24,40,20)*+
s(40,16,20)s(16,40,20)+c(24,32,20)*
c(24,32,20)c(24,24,12)-s(32,24,28)+
s(16,40,20)s(40,32,20)s(16,48,12)+*
c(40,40,20)s(40,48,12)t(32,32,28)+*
s(48,40,20)c(16,40,12)+c(32,40,20)*
t(24,24,12)s(16,48,20)s(16,32,20)*+
t(32,40,28)t(32,24,12)-t(32,16,12)+
t(32,40,28)c(24,32,20)s(24,16,12)-+
t(40,48,20)s(40,32,20)+s(48,40,20)-
c(40,32,20)s(40,40,20)*t(24,48,28)-
c(24,32,20)s(24,32,28)t(40,40,12)-*
c(48,32,12)s(8,48,12)+s(48,48,20)-
t(24,24,20)t(24,48,28)-t(24,40,20)+
t(24,32,28)c(32,24,20)*c(16,40,12)-
s(32,32,28)s(40,24,28)*t(32,40,28)*
s(24,48,20)s(16,48,20)s(32,32,20)--
s(32,32,20)s(40,24,20)s(32,16,20)*-
t(24,32,20)s(16,40,20)+c(24,40,20)*
s(40,24,28)c(24,40,20)t(32,40,12)--
t(24,48,28)t(40,24,12)c(24,48,12)+-
c(40,40,12)s(32,16,12)+s(24,32,20)+
s(16,24,20)t(40,24,12)+s(40,32,28)*
t(40,32,20)s(32,32,20)c(32,24,20)**
s(48,16,20)c(40,32,20)t(32,48,20)+*
c(32,24,20)s(24,32,28)s(40,32,20)**
s(16,24,20)c(48,24,12)+s(40,24,20)*
s(32,32,20)s(32,24,20)+s(16,32,20)*
c(40,40,20)s(24,24,28)c(32,24,20)**
s(16,16,20)s(40,16,20)-s(48,8,12)+
s(32,32,28)c(24,32,20)s(32,16,20)*-
t(24,48,20)s(40,40,12)+t(32,40,20)*
t(32,32,28)s(32,32,28)s(40,40,20)**
s(8,8,12)s(32,24,28)c(32,40,20)*+
t(32,32,28)c(48,24,12)-t(24,48,28)*
s(32,40,28)t(48,32,12)-t(40,32,20)-
s(32,40,28)t(24,24,20)s(32,24,20)*-
s(16,48,20)s(32,48,12)+s(40,40,20)-
t(40,32,20)c(24,32,12)+s(48,40,12)-
s(24,24,28)t(32,32,28)*s(32,48,20)-
s(32,32,20)s(32,24,28)s(32,16,20)--
c(40,24,20)t(32,40,28)s(40,40,28)**
c(24,24,20)c(24,32,20)c(16,16,12)+*
t(32,40,28)s(32,32,20)+s(24,24,28)*
s(24,48,12)t(32,32,12)+t(16,24,12)+
c(40,24,20)c(32,40,20)t(24,32,12)-*
s(24,40,28)s(24,32,20)c(40,16,12)+*
s(24,32,20)s(32,24,28)c(24,24,20)**
c(32,32,20)s(16,32,12)s(40,16,20)+*
s(40,32,20)c(48,40,12)s(24,32,12)+-
s(16,40,20)t(40,16,12)c(24,40,20)+*
s(40,40,12)t(32,48,20)+s(40,40,20)*
t(24,32,28)t(24,40,12)-t(24,48,28)-
c(40,40,20)c(32,32,20)*c(32,24,20)*
t(24,48,28)s(16,40,20)s(24,48,20)**
s(40,24,28)s(40,32,28)*c(32,32,20)*
t(24,48,12)s(48,48,12)+t(32,40,28)*
s(40,32,20)c(24,40,20)+c(24,24,20)*
s(40,24,28)s(40,40,20)*t(40,24,12)-
c(32,24,20)s(16,40,12)s(32,24,20)+*
c(32,24,20)s(48,8,12)t(32,32,20)+*
s(24,32,20)s(40,32,28)t(16,40,12)+*
s(32,24,28)s(24,32,28)c(24,40,20)**
t(24,56,12)s(16,16,12)s(48,16,12)++
t(24,32,28)t(24,40,28)*t(32,48,12)+
s(32,16,12)s(16,16,20)+s(24,24,20)*
c(40,24,20)c(40,24,12)c(16,48,12)+*
s(24,16,20)s(32,40,28)c(24,32,20)*-
s(40,16,20)c(32,48,12)c(48,32,12)+-
c(40,32,20)c(40,24,20)t(24,32,12)-*
s(32,48,20)s(40,32,12)-t(48,56,12)-
s(24,16,20)c(32,24,20)*s(32,40,20)+
t(24,32,28)c(24,40,20)*c(40,48,12)-
t(48,32,12)s(48,8,12)+s(48,16,20)+
s(32,16,20)t(32,24,20)c(40,40,12)-*
s(48,32,20)t(40,16,12)-c(40,40,20)*
s(32,40,28)s(40,8,12)s(16,40,20)++
s(24,24,20)s(16,16,20)+s(16,16,12)-
s(32,32,28)t(48,24,12)s(8,24,12)+-
s(40,48,20)t(24,56,12)t(48,40,12)+-
t(32,48,20)t(40,48,12)-c(24,48,12)+
c(24,24,12)t(24,16,12)t(32,40,12)++
s(40,40,20)t(32,40,28)t(24,40,28)**
s(32,48,20)s(32,24,20)s(32,16,12)--
s(24,40,20)t(24,40,12)-t(24,32,28)*
s(16,32,20)t(24,32,20)t(40,24,12)+-
c(40,24,12)s(48,32,20)+s(40,40,28)*
c(32,32,28)s(32,40,28)c(40,32,20)*-
t(16,24,12)t(40,48,20)+c(32,40,20)*
s(40,24,28)s(8,8,12)s(24,32,28)+*
t(16,56,12)t(48,16,12)c(40,16,12)++
s(32,32,28)t(40,40,12)t(48,24,12)+-
s(16,48,20)s(24,24,28)-t(40,32,12)+
c(40,40,20)c(24,24,20)s(40,24,12)--
t(32,40,28)c(32,32,20)*s(16,32,12)-
t(32,32,12)s(16,24,20)+s(24,32,20)*
c(40,48,12)c(24,24,20)+s(16,8,12)-
t(32,32,28)s(48,40,20)+c(32,40,12)-
t(40,32,20)c(40,32,20)s(48,32,20)--
c(40,40,20)t(40,24,20)s(24,48,12)++
s(32,40,20)c(32,24,20)s(16,32,20)*-
c(16,48,12)t(32,32,28)s(32,24,20)-+
t(40,48,20)c(32,32,20)t(48,24,12)-+
s(40,32,28)s(32,32,28)*t(32,40,20)-
c(48,48,12)s(48,32,20)+s(32,32,12)-
s(24,16,20)c(32,24,20)*s(16,32,12)-
c(24,24,20)t(40,48,20)+s(24,48,20)-
s(40,32,28)t(32,48,28)s(8,48,12)+-
s(24,48,20)t(32,48,28)c(32,32,12)+*
s(16,32,12)t(48,48,12)+c(48,16,12)+
s(24,24,28)t(32,32,28)*s(32,40,20)*
t(32,32,28)c(16,16,12)s(16,24,12)+-
s(24,24,20)t(32,32,28)t(32,24,20)--
t(24,48,28)s(40,48,20)-t(24,56,12)-
s(40,24,12)c(32,48,12)c(40,40,12)++
c(32,32,20)c(40,40,20)s(16,48,20)-*
s(48,48,12)s(32,32,12)+c(16,16,12)+
s(16,48,12)t(32,48,28)+s(48,48,20)*
c(24,40,20)c(32,24,20)c(48,16,12)+-
c(32,32,20)t(40,32,20)-s(16,48,12)-
s(32,16,20)s(16,32,12)+s(16,32,20)*
t(24,48,28)c(32,32,28)s(32,40,12)-*
s(24,32,20)t(24,40,28)s(16,40,20)**
s(24,24,28)s(40,40,28)c(32,32,20)*-
s(24,48,20)c(40,40,20)s(24,40,28)**
s(48,48,20)s(40,16,20)+c(40,24,20)-
c(32,32,12)s(48,24,20)s(40,16,20)-+
s(40,40,20)s(40,24,28)+s(32,48,12)-
s(16,32,20)s(24,24,12)s(24,40,12)++
s(32,32,20)t(40,32,20)+c(40,24,20)*
t(32,32,28)s(32,24,28)s(40,32,12)-*
s(32,24,20)c(32,32,20)c(24,32,20)**
c(24,32,20)s(24,16,20)s(48,24,20)++
c(48,24,12)s(40,8,12)s(32,48,12)++
c(24,16,12)t(16,48,12)+s(24,24,12)+
c(32,40,20)c(16,32,12)-s(32,48,20)*
s(32,40,12)c(24,16,12)+s(24,24,12)-
s(24,24,20)c(40,32,20)s(40,40,20)*-
s(48,48,20)s(40,24,20)+s(24,40,28)*
c(32,40,20)c(48,48,12)+s(24,40,12)-
s(40,40,20)c(24,40,20)t(40,56,12)+*
t(24,48,28)t(40,56,12)t(40,32,20)+-
t(24,40,28)t(32,16,12)+t(32,24,12)-
t(32,40,28)t(32,48,20)-c(32,40,20)*
s(32,40,28)c(32,24,20)*s(8,32,12)+
s(40,40,28)s(48,32,20)-s(32,40,20)*
s(32,48,20)t(16,56,12)+c(40,32,20)*
s(48,24,12)t(16,48,12)s(32,16,20)++
c(32,16,12)s(40,16,20)s(40,32,28)*+
s(48,24,20)s(40,32,28)*s(16,32,20)+
s(40,32,28)s(48,40,20)-t(48,16,12)-
c(40,24,20)s(48,24,20)-c(40,40,20)+
s(24,32,28)s(24,16,20)s(24,8,12)-*
t(24,48,20)c(16,16,12)t(24,56,12)++
c(32,32,20)c(24,16,12)+t(48,16,12)+
s(24,24,20)c(32,24,20)*s(40,24,12)-
t(24,48,28)s(24,40,20)*t(16,32,12)-
s(16,32,20)s(16,24,12)-s(32,40,12)-
s(48,24,20)t(40,32,20)+s(24,40,28)+
s(48,48,20)t(48,32,12)c(48,40,12)++
c(32,24,20)s(16,16,20)-s(48,32,20)*
s(48,24,20)c(32,40,12)+t(32,40,20)*
t(40,24,12)t(32,48,20)s(16,48,12)-+
s(24,24,12)s(16,24,12)+c(48,32,12)+
t(32,48,28)t(24,24,20)-c(32,48,12)-
s(40,16,20)s(16,16,20)-t(16,56,12)+
c(24,24,20)s(32,32,28)t(32,40,28)-*
c(24,24,20)t(40,32,20)-s(32,16,20)*
c(32,24,20)s(32,40,28)s(32,48,12)-+
t(48,40,12)s(24,48,12)+s(40,40,28)*
s(32,40,20)s(16,16,20)+s(32,32,28)-
s(40,24,20)s(40,40,28)*c(32,40,20)*
c(24,24,20)c(32,24,20)+s(40,16,20)*
t(32,40,28)s(40,24,20)-s(24,24,20)+
s(48,24,20)s(32,24,20)s(16,8,12)+*
c(24,32,20)s(16,16,12)c(24,40,12)+*
s(32,32,28)s(24,8,12)t(48,16,12)++
s(40,40,20)c(24,40,12)-s(24,48,20)-
s(40,16,20)s(24,40,28)t(24,48,12)--
s(48,32,20)s(40,16,20)+s(48,40,20)*
t(24,48,28)s(32,32,12)+s(24,48,12)-
c(32,24,20)s(16,32,20)+c(24,32,12)-
s(16,40,20)c(48,48,12)s(24,32,28)+*
s(24,40,28)s(48,32,20)-t(24,48,20)-
t(16,32,12)s(32,32,20)t(16,40,12)-+
c(32,40,20)c(32,24,20)t(24,48,28)+*
s(40,24,28)s(32,40,28)-t(24,32,28)+
s(48,40,20)s(32,24,20)c(48,24,12)--
s(40,24,28)t(32,32,28)s(24,40,20)*-
c(24,32,20)c(24,16,12)-t(24,40,28)*
s(40,32,20)s(32,40,20)t(24,56,12)++
c(24,32,20)c(32,40,20)t(32,24,12)-*
t(24,32,20)s(32,32,28)c(40,24,12)-*
t(32,24,20)s(48,48,12)+c(32,40,12)-
s(32,48,20)c(16,40,12)-c(40,24,20)-
t(32,32,28)s(32,24,20)*s(40,32,12)-
s(32,16,20)c(24,32,12)+c(24,24,20)*
c(32,32,20)t(32,48,28)+c(40,48,12)-
s(16,16,20)c(40,48,12)+s(40,48,20)*
s(40,16,20)s(40,24,20)*s(48,16,20)*
s(32,32,28)s(32,24,28)*s(48,40,20)-
c(32,24,20)s(48,32,20)-s(24,40,28)*
s(32,32,12)c(40,24,20)t(40,32,12)-+
t(32,48,28)s(32,40,28)t(32,32,28)**
s(32,24,20)s(24,32,28)t(16,16,12)-*
s(40,40,12)t(16,48,12)+s(16,48,12)+
s(40,40,28)c(32,24,20)c(32,24,12)--
s(40,48,20)c(32,32,20)c(24,16,12)--
s(16,32,20)s(40,40,20)-t(24,32,28)*
s(16,40,20)s(32,48,20)c(16,32,12)-+
t(32,48,28)t(32,16,12)+s(40,24,28)*
s(24,24,28)c(32,24,12)c(24,40,12)+-
c(24,32,20)s(24,32,28)s(32,24,20)**
s(48,24,20)c(32,24,20)s(16,32,12)+*
t(24,40,28)s(48,32,20)+s(16,40,20)*
c(32,24,20)s(24,40,12)-s(24,8,12)+
c(24,32,20)s(32,32,20)*c(24,16,12)-
s(24,32,28)t(24,40,28)t(24,40,12)--
s(32,48,20)t(16,56,12)c(32,32,20)+*
s(8,48,12)c(40,24,20)+c(24,24,20)-
c(40,40,20)t(32,32,28)*c(32,24,12)-
s(16,32,20)s(32,32,20)c(24,32,20)**
s(32,40,28)c(32,32,20)-s(32,32,20)+
c(32,40,20)c(32,40,12)t(40,24,12)+*
s(32,32,20)s(16,40,20)-s(48,16,20)+
c(48,24,12)c(32,40,12)+s(24,40,28)*
c(32,32,28)c(32,16,12)-c(24,24,20)*
c(40,32,12)s(32,24,20)t(24,32,12)-+
s(48,24,12)c(48,48,12)+t(32,40,12)+
s(32,40,28)c(24,24,20)*s(32,40,12)+
s(48,48,20)s(32,16,12)c(40,32,20)+*
s(32,40,20)s(24,16,20)t(32,40,20)+*
c(40,32,20)s(40,40,28)*t(32,40,28)*
s(24,24,12)s(8,32,12)+t(40,48,20)+
s(16,32,20)c(24,32,20)*s(32,24,12)-
t(24,40,12)s(40,32,28)t(24,40,20)-+
t(24,40,28)s(32,32,20)*t(32,24,12)-
s(32,40,20)t(40,24,12)-c(16,32,12)-
t(40,48,12)s(48,16,20)c(32,24,12)-+
c(32,32,20)s(16,24,20)-t(24,32,28)*
s(40,32,28)s(32,32,28)t(40,48,20)--
t(48,56,12)t(24,32,28)s(24,40,28)*+
s(24,40,28)c(24,32,20)*s(32,32,12)-
s(32,48,20)t(40,32,12)+t(32,40,12)-
t(24,40,12)s(24,40,28)s(32,24,20)*+
c(32,32,28)c(40,40,20)t(16,56,12)+-
c(32,32,12)c(48,16,12)+t(24,48,20)-
t(24,48,12)c(48,16,12)+s(8,16,12)+
s(32,40,28)c(32,32,20)s(24,32,28)**
t(24,40,28)s(40,24,20)-s(32,48,20)*
t(32,40,28)c(40,24,20)*s(40,16,12)-
s(24,32,28)t(32,32,28)*t(24,32,20)*
t(32,32,28)c(24,40,12)s(48,24,12)+*
s(24,40,28)s(8,48,12)-c(32,24,20)*
t(32,40,20)c(24,24,12)+t(32,32,28)*
s(24,16,20)s(16,32,12)s(40,24,20)+-
t(24,56,12)s(40,16,20)+s(40,32,28)*
t(24,48,28)t(40,24,20)+s(32,32,28)*
s(48,48,20)c(32,24,20)-c(32,32,20)+
t(24,32,28)s(32,16,20)-s(16,32,20)*
s(16,32,20)c(40,24,20)s(24,40,28)+*
c(24,40,20)s(32,32,20)s(48,24,12)+*
s(24,40,28)t(32,32,12)s(40,48,20)+*
t(24,48,28)s(48,48,20)t(24,48,12)+*
c(16,48,12)t(16,16,12)+s(8,48,12)+
s(8,40,12)t(32,24,20)c(40,40,12)++
s(24,24,28)s(40,16,20)*c(24,16,12)+
s(40,24,20)t(48,40,12)+t(48,16,12)-
s(16,40,20)c(40,24,20)t(24,32,28)++
s(32,48,20)t(32,40,20)t(24,40,28)*-
s(40,24,28)c(24,32,20)*s(40,24,12)-
c(40,40,20)s(48,16,20)-s(16,40,20)-
t(32,40,28)s(48,40,20)s(48,32,20)+*
s(48,40,20)c(40,16,12)+s(24,32,28)*
c(24,24,20)s(48,16,20)-s(40,24,28)*
t(24,40,28)t(40,48,12)-t(32,48,12)-
s(32,32,12)c(24,40,20)t(32,48,20)*+
s(16,48,12)s(48,16,12)+t(40,32,20)-
t(32,24,20)t(48,24,12)+s(32,16,20)*
c(40,24,20)t(32,40,28)s(40,32,28)*-
c(24,32,20)t(16,24,12)-t(32,40,20)-
t(24,40,28)s(40,32,20)s(16,32,20)+*
s(40,32,28)t(40,32,20)-c(24,48,12)-
s(32,40,20)c(32,24,12)c(48,40,12)++
c(32,32,28)c(40,40,20)-c(24,32,20)+
t(32,40,28)t(24,24,20)+s(40,32,20)*
s(48,24,20)c(32,40,20)s(16,40,12)-+
c(40,32,20)c(24,16,12)-s(32,40,28)*
t(24,48,20)c(24,32,20)+s(24,16,20)*
c(40,40,20)s(32,40,20)s(16,40,12)-*
s(16,24,12)t(32,56,12)+t(24,32,12)+
c(16,24,12)t(24,24,12)t(32,40,20)++
t(16,32,12)t(24,48,20)+t(32,32,28)-
s(40,48,20)t(32,32,28)-c(24,16,12)+
c(40,40,20)s(24,32,12)t(32,48,20)+*
t(32,40,28)s(40,40,20)s(40,24,20)*-
s(32,48,20)c(48,24,12)t(32,32,20)+-
t(32,40,20)t(40,32,12)s(8,32,12)+-
s(16,40,20)c(32,48,12)-s(24,32,20)+
s(32,16,20)s(24,32,28)s(24,16,20)*-
s(40,16,20)t(24,48,12)t(32,24,20)+-
c(48,16,12)s(24,24,20)+s(40,16,20)*
t(32,40,28)c(40,40,20)*c(16,32,12)+
s(16,32,20)s(8,48,12)-s(8,24,12)-
t(24,24,20)t(24,32,20)s(40,8,12)++
t(32,48,28)t(24,48,20)t(16,48,12)+*
c(40,40,20)s(8,48,12)t(40,32,20)+*
t(24,48,20)s(16,32,12)-t(40,32,20)-
s(32,16,12)s(16,32,12)+s(32,32,12)-
s(40,40,28)c(32,32,20)s(40,24,28)**
s(32,24,28)s(24,16,20)c(24,24,20)*-
s(24,40,28)t(32,32,28)*t(32,40,12)-
s(40,24,28)s(40,24,12)c(40,48,12)+*
t(32,48,12)s(16,16,20)+s(32,24,20)-
t(24,24,20)c(48,40,12)c(48,32,12)++
c(40,32,20)c(40,40,20)t(24,40,28)*+
c(40,40,20)t(24,40,28)t(16,40,12)-*
s(40,48,20)t(24,48,28)c(48,16,12)+*
s(24,40,20)s(8,40,12)+t(32,32,28)*
c(32,32,20)s(24,16,12)-s(32,32,12)-
s(24,16,20)t(24,32,28)*c(24,32,12)+
t(24,32,20)t(40,24,12)+s(40,32,12)-
t(32,40,28)c(32,24,20)t(24,32,28)**
s(24,24,20)s(32,24,28)s(48,16,20)*+
c(24,16,12)s(40,48,20)+s(40,32,28)*
s(24,32,20)s(16,8,12)+s(8,40,12)-
s(32,32,28)s(48,16,12)t(40,24,20)+*
s(24,40,28)s(40,32,28)*c(24,32,12)-
s(16,16,20)t(24,16,12)t(32,24,12)++
c(24,24,20)s(40,32,28)t(16,48,12)++
s(40,40,28)s(40,40,20)t(24,48,12)--
c(32,24,20)c(32,32,20)c(24,40,20)++
s(48,24,20)t(40,32,12)-c(40,40,12)+
t(32,32,28)t(40,40,20)c(24,48,12)+-
s(40,16,20)t(24,24,12)+t(32,32,28)*
t(40,48,20)s(24,48,20)s(40,40,12)-+
c(24,32,20)s(40,24,28)*s(16,40,20)-
s(32,24,20)s(32,32,20)*t(24,16,12)-
c(32,24,20)s(8,32,12)s(32,40,28)++
s(32,32,28)s(24,24,12)-c(48,48,12)-
s(8,48,12)s(32,32,20)+s(40,16,20)-
c(24,24,12)s(24,48,20)+s(40,40,20)-
s(16,48,20)c(32,32,28)*c(40,32,12)+
s(32,32,28)s(24,48,20)t(24,48,28)*-
s(24,32,28)s(40,32,28)t(32,40,12)-+
c(24,24,20)s(16,16,20)-c(32,32,20)*
s(32,40,28)c(24,40,20)t(48,48,12)+*
c(40,40,20)t(24,40,20)-s(24,40,28)*
s(24,40,28)s(40,40,28)s(32,40,28)*+
s(40,32,28)s(40,40,12)-s(32,24,20)*
s(16,16,20)s(16,32,20)s(8,16,12)-+
s(40,40,28)c(40,24,20)s(24,24,28)**
s(48,32,12)t(24,32,12)+t(24,24,12)+
s(24,48,12)t(40,32,12)+c(32,24,12)+
s(16,16,20)s(40,24,28)s(40,32,28)*-
s(40,24,20)c(16,16,12)s(40,40,20)+*
s(16,40,12)s(48,40,20)s(8,8,12)++
c(24,40,20)t(32,56,12)t(24,40,20)+*
t(32,32,20)c(48,32,12)s(40,40,20)++
t(24,40,20)t(48,32,12)+s(32,40,20)*
s(16,32,12)s(48,32,12)+t(32,24,20)-
t(32,40,20)s(48,40,12)-t(40,40,20)+
c(32,32,20)s(16,48,20)-s(40,16,12)-
s(40,40,20)c(40,32,20)c(40,40,20)**
c(32,32,20)c(40,40,20)s(16,32,20)+*
s(24,40,28)c(32,48,12)-t(24,40,28)*
t(32,32,20)s(24,48,20)+s(32,32,12)-
s(32,24,20)c(40,32,20)s(24,48,20)+*
c(40,32,20)c(40,24,20)t(32,32,20)-*
c(24,32,20)s(16,40,20)*t(16,24,12)-
s(32,40,28)c(48,16,12)t(24,32,28)+-
c(40,16,12)s(48,48,20)t(24,24,12)++
t(24,48,28)t(32,24,20)-s(16,32,12)+
s(32,24,20)t(24,24,20)t(40,40,20)+*
t(24,40,20)s(16,16,20)s(32,16,20)*-
s(40,24,12)t(32,32,20)s(48,48,20)++
t(24,40,28)s(32,24,20)c(40,32,20)+*
s(48,24,20)c(24,16,12)+s(24,8,12)-
t(32,40,20)c(48,24,12)+c(32,40,12)-
s(40,32,28)s(32,48,20)s(16,40,20)++
t(24,16,12)t(24,48,20)s(8,48,12)-+
s(48,48,20)t(40,32,20)t(48,32,12)-+
s(24,40,28)s(16,48,20)-t(32,32,28)*
s(24,24,28)c(24,40,20)t(48,16,12)++
c(32,24,20)t(24,32,28)*s(32,32,12)-
s(40,32,20)t(32,40,28)s(40,48,20)*-
s(32,32,28)c(24,40,20)*s(48,48,20)-
t(16,32,12)c(40,40,12)+c(40,32,20)*
t(32,32,20)c(32,24,20)s(24,40,28)**
c(40,32,20)s(40,24,20)*t(24,24,20)+
s(48,48,20)s(40,16,12)s(48,32,12)+-
s(40,16,20)s(32,32,20)-s(8,16,12)+
t(24,32,20)s(32,48,20)t(40,56,12)-+
s(40,40,28)t(24,32,28)-s(16,8,12)+
s(24,40,28)c(24,32,20)s(16,48,20)-*
s(24,32,20)c(32,40,20)*c(32,24,20)*
t(32,24,20)s(8,16,12)t(40,40,12)++
t(32,40,28)t(24,24,20)-c(24,24,20)+
s(32,16,20)t(40,24,20)-t(24,48,12)+
t(32,40,28)c(32,40,20)s(32,24,12)-*
s(32,32,20)t(24,48,12)s(40,40,12)+-
c(24,48,12)c(16,24,12)+s(24,16,12)-
s(48,32,20)s(48,48,20)*t(32,56,12)+
s(24,40,20)c(32,32,20)t(40,40,12)-*
c(24,32,20)s(8,32,12)-c(16,32,12)-
t(24,48,20)s(32,32,12)t(32,24,12)+-
c(32,32,28)c(48,48,12)-s(40,24,28)*
s(32,32,28)c(32,24,20)-s(16,32,12)-
s(48,32,20)s(32,32,28)*s(48,24,20)*
s(16,40,20)t(32,32,20)+s(24,24,12)-
t(40,48,20)t(32,32,20)+s(32,32,20)*
t(16,48,12)c(32,40,20)s(40,24,28)*+
c(32,24,20)t(24,40,28)c(24,24,12)+-
s(16,48,20)t(16,56,12)s(16,8,12)+-
s(24,24,28)c(16,40,12)t(40,16,12)++
s(40,40,28)c(32,24,20)s(48,16,12)--
s(32,32,20)s(16,48,20)-c(40,16,12)-
s(40,32,20)s(40,16,20)s(8,48,12)+*
t(32,24,12)s(48,24,20)+c(24,24,20)+
t(24,40,12)c(24,24,12)+t(40,32,20)-
c(24,40,20)t(40,48,20)s(32,48,20)*-
s(24,32,28)c(32,16,12)-c(16,24,12)-
s(24,24,12)c(32,32,12)+t(32,40,12)-
c(40,16,12)t(40,40,20)s(48,24,12)-+
t(24,40,20)t(40,32,12)+s(8,40,12)-
c(32,32,20)s(32,40,20)s(32,24,20)--
t(24,32,28)s(40,40,28)s(40,32,28)**
s(24,32,28)s(48,24,12)+t(24,40,28)*
s(8,8,12)s(24,16,12)+s(48,24,12)+
s(40,24,20)s(32,32,20)*t(32,40,12)+
c(40,32,20)s(32,40,28)s(24,32,20)**
t(24,40,28)t(32,32,20)-t(16,32,12)-
s(32,32,20)s(48,32,20)s(24,40,20)+*
s(16,32,20)s(32,24,12)t(24,40,12)+-
s(40,32,28)c(24,24,20)t(32,48,20)-+
s(40,40,20)s(24,24,20)t(24,32,12)--
s(24,32,28)s(40,40,28)s(40,32,28)*-
s(32,16,20)t(32,32,28)s(32,24,28)**
s(24,32,20)t(24,40,28)*t(32,40,28)*
c(16,40,12)c(32,48,12)+t(40,56,12)-
s(48,24,20)s(40,48,20)-c(32,24,12)-
c(24,40,20)t(24,56,12)-s(32,24,28)*
t(32,48,28)s(32,40,28)*c(32,48,12)-
t(24,24,12)t(32,24,20)s(32,32,20)*+
c(32,24,20)c(32,32,20)*s(32,40,20)+
t(48,48,12)t(48,32,12)+c(24,32,12)+
t(32,56,12)s(32,24,20)s(24,32,28)*+
t(32,32,28)s(24,40,28)*t(32,48,28)*
s(24,32,28)t(32,32,20)s(32,24,20)*-
c(24,24,20)t(32,40,28)*c(32,16,12)+
t(40,40,12)s(32,16,12)s(40,24,12)++
s(32,32,28)s(16,48,20)c(24,40,20)+-
s(40,32,28)s(32,40,28)*c(24,24,20)*
t(24,24,20)t(40,40,20)c(32,40,12)+-
c(32,24,20)s(24,48,20)-t(32,24,20)-
s(16,16,12)c(40,32,20)+t(32,40,28)*
s(16,32,12)s(40,48,20)+s(32,40,28)*
s(48,40,20)t(32,24,20)-s(40,32,28)*
s(16,24,20)t(40,40,12)+c(48,40,12)+
s(32,24,20)s(24,40,20)s(48,16,12)++
t(24,40,28)s(40,32,28)*s(48,40,20)-
s(32,8,12)t(24,48,28)+s(24,32,28)*
s(8,40,12)s(40,32,20)+t(32,40,28)-
c(24,32,20)t(32,32,28)c(40,40,12)-*
c(32,32,20)s(16,40,20)+s(16,32,20)*
t(32,40,28)s(24,16,20)-s(24,32,28)*
s(40,24,20)t(32,48,28)+c(32,32,20)*
s(40,32,28)s(24,40,20)s(8,32,12)--
c(32,32,28)c(40,16,12)-s(40,16,12)+
c(24,40,20)s(16,48,12)-s(40,32,28)*
c(24,32,20)s(40,40,20)c(16,40,12)+*
c(40,40,20)t(24,32,28)s(24,48,20)+*
c(24,24,12)c(24,40,20)+t(40,24,12)+
c(32,40,20)t(24,32,20)*t(16,56,12)+
s(24,40,28)t(32,24,20)+t(32,40,20)-
t(40,24,20)s(32,16,12)-t(40,48,20)+
s(48,40,20)s(40,48,20)s(16,32,12)+*
s(48,32,20)s(24,40,28)s(32,32,20)*+
t(24,40,28)t(16,24,12)+t(40,24,12)+
t(24,40,28)s(40,48,20)s(40,24,28)--
t(48,32,12)t(24,32,28)+s(32,40,20)*
t(32,48,28)c(24,24,20)c(40,32,12)++
s(32,32,20)c(32,16,12)+t(48,40,12)+
s(24,40,28)s(40,40,20)c(32,24,12)-+
c(40,48,12)s(16,24,20)+s(16,16,20)*
t(32,24,12)s(24,48,12)+t(24,32,28)+
s(48,48,12)s(16,24,20)c(32,24,20)-+
s(32,32,28)s(40,40,28)t(32,32,12)-+
s(16,24,20)t(40,32,20)t(32,32,12)-+
s(40,32,20)t(32,40,20)c(40,32,20)*-
s(24,32,20)t(24,56,12)+s(24,40,28)*
s(8,48,12)s(32,24,28)s(40,24,28)*+
c(24,40,20)s(24,32,20)*t(32,24,20)-
s(16,32,20)c(32,40,12)-c(24,24,12)-
c(32,24,20)s(16,24,12)-t(32,24,20)*
t(16,40,12)s(48,40,20)t(24,48,28)-+
c(32,32,20)t(48,16,12)+c(24,16,12)+
t(32,16,12)t(40,56,12)s(24,32,20)++
s(16,16,20)t(32,40,20)s(32,16,20)+*
s(40,24,20)s(32,24,28)s(40,32,28)**
t(24,24,20)t(24,32,28)c(16,40,12)-*
s(24,16,20)t(48,16,12)+s(40,40,28)-
c(32,32,20)s(24,40,20)*t(40,40,20)+
c(32,40,20)s(40,24,28)t(40,16,12)-*
s(40,40,28)s(40,48,20)t(32,48,28)*-
s(48,40,20)t(32,32,28)+s(8,32,12)+
c(24,32,20)c(24,40,20)s(40,48,20)-*
c(32,32,20)c(40,24,12)c(24,32,12)+-
c(32,40,12)t(40,16,12)+s(16,40,20)-
t(24,32,28)s(16,32,20)s(32,40,12)-*
s(24,40,28)t(32,24,20)-s(32,32,28)*
t(24,40,28)s(32,32,20)t(32,40,28)+*
c(24,24,12)s(40,40,28)s(24,40,12)-+
s(32,24,28)c(40,40,20)c(24,24,20)+*
s(24,48,20)t(24,40,20)s(16,32,20)+*
s(32,40,28)c(40,32,20)s(40,24,20)**
s(24,24,20)t(24,16,12)-c(24,24,12)-
s(48,48,20)c(16,24,12)+c(32,32,28)*
c(32,32,28)t(32,48,28)s(24,32,28)*-
c(32,24,20)c(40,16,12)c(24,24,20)+*
s(24,32,28)t(24,40,12)-t(24,24,20)-
c(32,32,28)c(32,32,20)c(24,48,12)--
s(40,32,20)t(32,32,20)t(32,48,20)--
s(16,32,20)s(48,32,20)c(32,24,20)+-
s(16,48,20)s(24,48,20)c(32,40,20)**
s(8,16,12)c(40,24,20)+s(40,32,20)*
s(24,32,28)s(40,48,12)-t(24,32,28)*
c(24,40,20)s(32,40,20)*t(40,32,20)-
s(48,48,20)s(24,40,20)+s(16,32,20)*
s(32,24,12)t(24,40,20)+c(24,40,20)+
s(32,40,28)c(32,32,20)s(48,40,12)-*
c(32,40,20)t(32,48,20)t(40,16,12)+-
s(40,24,28)s(32,24,28)*s(24,24,12)-
s(40,24,12)t(24,32,20)+t(24,32,28)*
s(32,32,28)t(40,24,20)-c(32,24,12)-
s(32,40,28)t(24,24,12)-c(24,32,20)-
t(24,32,28)t(24,40,20)-s(40,8,12)+
s(40,32,28)t(48,40,12)s(24,24,12)+*
t(32,32,28)t(40,24,20)+s(40,24,20)*
s(40,24,20)s(32,32,20)s(40,24,20)*-
s(32,32,28)t(32,40,28)-c(48,32,12)-
s(24,24,20)t(32,24,12)-t(40,24,20)+
s(40,32,28)c(32,24,20)+s(16,24,12)-
c(32,32,28)t(40,32,20)-c(24,48,12)-
c(24,24,20)s(16,24,20)*t(32,24,12)-
s(40,32,20)t(32,32,28)c(24,40,20)**
s(16,32,20)t(32,32,20)+s(48,40,20)-
t(24,48,28)c(32,40,20)t(24,32,12)--
s(16,24,12)t(24,32,20)+t(24,40,20)+
t(24,32,20)c(32,24,20)s(40,8,12)-*
s(16,40,20)s(24,40,20)c(32,32,20)**
s(32,24,28)t(24,16,12)-s(24,16,20)-
c(16,16,12)s(48,48,20)+c(32,40,12)-
s(24,40,28)t(24,32,28)t(48,24,12)+-
s(40,24,28)t(24,40,12)c(16,16,12)+-
s(8,8,12)t(32,32,28)t(24,48,28)*+
s(40,32,20)t(24,32,12)c(40,32,12)+*
s(24,24,12)s(32,48,20)t(24,56,12)-+
s(40,40,20)s(16,40,20)+c(32,24,20)+
s(24,24,20)t(24,32,28)*t(16,24,12)+
s(32,24,20)s(24,16,20)s(48,48,12)+*
s(40,24,28)t(40,40,20)s(48,16,20)+*
c(32,32,20)s(40,24,20)s(32,32,28)**
s(40,16,20)s(40,24,20)*t(24,40,28)-
s(24,40,28)s(16,48,20)t(16,16,12)+*
s(24,24,20)s(40,32,20)+s(40,24,20)*
s(48,48,20)c(40,40,20)*s(48,32,12)-
c(32,32,20)s(40,24,28)*t(32,24,12)-
c(40,24,20)t(32,32,28)t(24,48,28)*-
c(24,32,20)t(40,24,20)s(8,24,12)+-
s(24,16,20)c(40,32,20)s(16,40,20)--
c(32,32,20)s(48,40,20)s(32,40,20)*-
s(24,40,20)s(32,24,28)+s(40,24,12)-
c(40,40,20)s(48,8,12)+t(32,32,28)-
c(32,16,12)c(16,40,12)+s(16,16,20)-
s(24,16,20)t(32,32,28)c(16,40,12)--
s(48,48,20)t(32,32,20)-s(48,32,12)+
t(32,32,28)s(16,40,20)-c(32,40,20)+
t(24,48,20)c(24,32,20)s(24,48,20)-+
s(40,40,28)t(24,24,20)+c(24,24,20)*
s(40,24,20)s(8,32,12)+s(32,40,20)-
s(24,24,20)s(40,16,20)+s(24,40,20)*
s(16,24,20)c(40,40,12)+s(16,32,20)*
t(32,32,28)s(40,24,12)s(40,32,12)+-
c(40,40,20)t(48,24,12)-s(32,24,28)*
c(32,24,20)c(40,24,20)s(40,32,12)-*
t(32,32,12)t(40,24,20)+t(24,24,20)-
s(40,24,28)s(48,24,20)-c(32,24,20)+
c(40,24,20)s(24,32,28)-c(16,16,12)+
s(32,24,20)t(24,48,28)c(40,40,20)+*
t(24,16,12)s(48,24,12)+c(48,16,12)+
s(40,32,28)s(40,24,28)c(40,40,20)--
s(24,40,20)s(24,32,12)-t(32,48,28)*
t(40,24,12)t(40,48,20)+s(40,48,20)*
t(32,48,28)t(24,32,20)+s(24,32,20)*
c(40,32,20)t(32,48,20)-c(32,32,20)*
c(40,16,12)s(24,40,28)+t(24,32,12)-
s(32,16,20)c(40,24,20)s(32,40,20)*-
s(48,48,12)s(32,40,20)+t(32,24,20)-
s(16,40,20)c(16,40,12)-s(40,16,20)+
s(40,16,20)c(32,32,20)c(40,40,20)*-
c(40,32,20)t(16,56,12)+s(48,24,20)*
t(32,40,28)s(32,24,28)*c(40,32,20)*
t(32,48,28)t(24,56,12)-s(24,40,28)+
t(32,32,28)c(32,16,12)t(24,56,12)++
s(40,32,28)t(40,16,12)-s(48,40,20)-
c(40,40,20)s(16,24,12)s(16,48,12)++
s(40,32,28)s(24,24,28)s(40,48,20)-*
s(32,32,28)t(40,32,12)-t(24,32,12)-
s(24,40,28)t(48,56,12)c(40,24,20)+-
t(32,32,20)c(24,24,20)c(16,24,12)-*
s(24,32,20)t(24,32,12)t(32,40,20)+*
s(40,24,12)s(24,24,28)c(40,40,20)*+
s(40,40,28)c(40,24,20)+c(24,40,20)-
s(40,40,28)t(32,32,28)s(8,16,12)+*
s(40,24,28)s(24,24,12)t(40,32,20)+*
c(32,48,12)t(40,40,20)+s(48,32,12)-
c(24,24,20)c(40,32,20)*c(40,40,12)+
s(24,40,28)s(32,32,28)s(40,40,20)**
t(32,48,28)c(32,32,12)t(24,48,12)+*
s(24,32,20)t(24,24,20)s(40,16,20)++
s(24,32,20)s(48,40,12)t(32,32,20)++
s(24,40,20)t(32,32,28)*s(48,16,20)+
s(32,48,20)s(32,40,20)*t(32,32,12)+
s(32,32,12)c(40,48,12)+s(40,32,28)*
s(8,40,12)t(32,32,20)t(40,24,12)++
c(40,32,20)s(32,32,28)c(24,40,20)**
c(16,24,12)t(40,24,20)+t(32,32,28)*
s(48,40,12)s(8,16,12)+c(24,32,20)+
s(40,16,12)t(16,56,12)c(24,40,12)++
s(32,32,20)c(32,24,12)s(48,24,12)++
t(32,32,28)s(24,40,20)s(32,32,28)**
s(32,8,12)t(32,24,20)+s(40,32,20)-
s(24,48,12)c(40,32,20)s(40,16,20)*+
c(32,24,20)s(48,48,20)s(40,32,28)*-
t(40,56,12)s(16,24,20)+s(16,32,20)*
s(32,32,20)s(32,48,20)*s(40,48,20)+
s(32,48,12)c(24,48,12)+t(32,40,12)+
s(24,32,20)t(24,48,20)t(32,40,20)+*
c(32,32,20)s(32,16,20)*c(48,48,12)+
s(40,16,20)s(40,32,20)*t(24,48,20)+
t(32,32,28)t(40,40,20)-c(24,24,20)*
c(40,40,20)c(24,48,12)+t(48,48,12)-
s(24,40,20)c(32,32,20)*s(40,32,28)*
c(32,24,20)t(40,24,20)-s(24,32,28)*
s(16,24,20)s(24,32,20)s(24,48,12)-*
s(48,32,20)t(32,48,28)-c(40,40,20)*
t(32,32,28)s(32,24,28)c(40,24,20)**
s(40,40,20)s(16,16,20)s(40,48,20)+*
s(40,24,20)s(24,32,28)s(40,8,12)+*
c(32,40,20)t(48,32,12)c(40,48,12)+*
s(40,32,20)t(32,40,28)*c(48,48,12)-
s(24,24,28)s(32,24,28)s(24,24,20)--
c(24,24,20)s(32,32,28)*c(32,40,20)*
t(32,48,12)t(32,32,28)+s(40,32,20)-
s(32,32,28)s(24,16,20)s(48,40,20)+*
c(40,40,20)c(32,32,28)s(32,24,20)-*
s(16,32,20)s(40,40,28)-t(24,48,28)-
c(24,16,12)c(32,24,20)c(40,40,20)*+
s(24,40,28)t(32,32,28)t(40,32,12)-*
s(32,40,20)s(16,48,20)s(24,40,20)*-
t(32,40,20)s(32,48,20)c(40,40,12)-+
t(24,24,20)c(40,32,20)s(32,32,28)+*
t(24,32,28)t(24,48,28)*c(24,40,12)+
s(16,8,12)s(32,24,20)+s(32,32,28)*
c(24,32,20)s(40,32,20)*c(32,24,12)+
c(24,16,12)c(40,40,20)+s(40,16,12)+
s(40,40,20)c(48,24,12)-t(32,40,20)+
s(32,24,28)c(40,40,20)*c(24,48,12)-
c(32,32,28)s(16,24,12)-s(48,40,20)*
c(32,40,20)c(48,32,12)-t(32,40,20)-
s(24,16,12)t(32,48,12)+s(8,32,12)+
c(32,32,28)c(40,32,12)-s(24,16,20)*
s(32,8,12)s(32,48,20)t(24,40,28)*+
t(32,32,28)s(48,24,20)-c(32,48,12)-
c(32,40,12)t(24,48,28)+s(40,32,12)-
s(16,24,20)s(24,8,12)+s(32,32,28)*
c(40,16,12)s(16,40,20)c(16,24,12)-+
c(32,32,20)s(32,48,20)-t(40,32,20)+
s(24,32,28)t(32,48,28)t(24,48,28)*-
c(24,40,20)s(48,16,20)s(32,16,12)-+
c(32,24,20)c(32,40,20)c(16,16,12)+*
s(24,24,28)s(40,24,28)*s(40,32,20)*
s(40,40,28)c(32,40,20)c(48,40,12)+*
c(40,32,20)t(32,32,28)*s(24,40,20)-
t(24,48,20)t(24,16,12)+t(32,48,28)*
c(40,40,20)c(32,40,12)s(24,40,12)+*
s(40,40,20)s(40,32,20)t(24,32,12)-*
s(32,40,28)c(40,32,20)c(48,16,12)-*
s(24,40,20)s(32,24,20)s(16,16,12)--
c(32,32,20)c(24,40,20)*s(32,24,28)*
s(32,40,20)s(24,40,28)s(40,32,12)-*
t(48,40,12)s(40,24,28)c(24,40,20)*+
t(40,32,20)t(24,56,12)c(16,48,12)++
s(16,40,12)s(40,40,20)c(32,40,20)*+
t(32,32,28)c(16,48,12)-c(24,24,12)-
t(24,32,28)c(24,40,12)t(32,16,12)+*
s(8,40,12)s(16,32,12)+t(24,40,12)+
c(24,24,20)s(24,40,28)*s(32,24,28)*
s(40,32,28)t(32,40,12)-t(32,48,28)-
s(32,24,28)s(48,8,12)-c(32,32,20)*
s(40,16,20)s(40,24,28)s(40,8,12)-*
s(32,48,20)c(32,40,20)*t(24,56,12)-
c(40,16,12)s(32,48,12)+s(40,24,20)+
t(32,32,28)t(32,32,20)s(48,32,12)+*
t(32,32,20)t(40,40,20)+c(48,24,12)-
s(48,24,20)t(24,32,28)-t(40,32,12)-
c(24,40,12)s(40,48,12)+c(24,32,12)-
c(32,32,20)s(48,32,20)s(40,40,20)*-
s(48,16,12)s(40,40,20)+c(40,40,20)*
s(40,32,20)t(24,40,20)+t(24,40,28)*
s(40,48,20)c(32,24,20)+c(40,24,20)*
t(32,32,20)s(40,24,20)c(40,40,20)+*
t(32,40,20)c(16,48,12)-c(32,32,12)+
t(32,48,28)c(32,32,28)*t(32,40,28)+
c(16,16,12)t(32,48,12)+s(40,48,20)-
t(32,24,20)c(40,48,12)+s(32,24,20)*
s(40,24,28)t(32,32,28)-s(40,16,20)+
s(16,32,20)c(24,40,20)*s(24,32,20)*
s(24,48,20)s(48,32,12)+c(32,32,20)*
s(16,16,20)s(40,24,20)-c(48,32,12)+
s(32,48,20)c(24,24,20)-s(48,32,20)+
s(16,16,12)c(40,32,12)+s(40,8,12)+
t(24,24,12)s(48,48,20)+t(32,40,28)-
t(16,24,12)s(16,40,20)c(24,32,20)*+
s(16,16,20)t(32,24,20)s(24,24,20)+*
s(24,40,28)s(16,16,20)-t(16,48,12)-
s(24,40,20)t(24,48,20)c(32,40,12)+*
c(24,24,20)c(16,24,12)-t(24,40,12)-
t(24,32,28)c(32,40,20)*s(48,40,12)-
s(40,32,20)c(40,24,12)c(48,40,12)+*
c(16,40,12)c(24,48,12)s(40,48,20)++
s(40,40,28)t(24,48,28)-s(48,32,20)*
s(32,24,28)s(32,40,20)*s(24,24,12)-
s(40,24,28)s(16,40,20)+s(40,40,20)*
s(16,24,20)c(40,32,12)+s(48,40,20)+
c(48,16,12)c(32,24,20)t(40,32,20)*+
s(40,24,20)s(24,32,20)t(24,40,12)--
t(32,40,28)c(40,40,20)t(40,56,12)-*
s(40,24,28)s(32,16,12)t(40,48,12)+-
s(16,40,20)t(24,32,12)-c(40,32,20)+
t(40,24,20)c(24,24,20)s(48,16,20)-+
s(32,32,20)t(24,40,28)*c(32,16,12)-
s(40,32,20)s(16,32,12)t(24,40,20)++
s(24,24,20)s(32,40,20)+t(32,48,28)-
t(32,32,20)s(40,48,20)s(24,40,20)--
c(24,40,20)s(24,48,12)-s(16,32,20)+
s(40,48,12)c(16,48,12)+s(16,40,12)+
c(24,48,12)t(32,24,20)t(24,16,12)-+
c(24,32,20)t(40,32,12)-c(32,24,20)-
t(40,40,20)t(24,48,20)+s(48,48,20)*
c(24,40,20)s(48,24,20)-t(32,32,20)-
s(8,40,12)s(32,16,20)+c(24,40,20)-
t(32,32,12)t(16,40,12)t(40,40,20)++
s(32,32,12)t(24,32,20)c(40,32,12)-+
s(32,24,20)s(48,24,12)t(16,56,12)+-
t(24,56,12)s(40,32,20)s(16,24,20)-+
c(16,48,12)s(40,48,12)+s(24,48,20)*
t(24,32,20)s(32,40,20)c(16,16,12)+*
s(24,24,20)s(32,32,28)+t(24,32,28)-
s(24,40,20)c(32,48,12)s(40,24,20)+*
s(48,24,20)s(40,24,20)*s(48,32,20)*
c(40,40,20)s(32,24,28)-s(24,48,12)-
t(48,56,12)s(24,48,20)+c(32,32,28)*
t(24,32,28)t(32,40,28)s(40,24,28)*-
c(24,24,20)t(24,32,28)*c(40,40,20)-
s(24,48,20)c(40,40,20)t(48,56,12)-*
s(32,48,20)c(48,40,12)-s(24,24,20)-
s(40,24,28)t(24,40,20)+c(40,48,12)-
s(8,32,12)c(24,40,12)+t(24,32,28)*
s(40,40,28)s(40,24,28)t(32,48,12)+*
s(40,32,28)s(32,40,20)*s(16,16,20)+
s(48,24,12)s(24,40,20)+s(48,32,20)*
s(24,24,28)t(16,32,12)c(32,16,12)+-
s(24,16,20)t(32,40,28)-s(32,16,20)+
c(40,40,20)s(32,32,28)c(16,40,12)-*
c(40,32,20)s(16,48,12)+s(16,16,12)+
c(24,40,20)t(24,24,12)-t(32,48,20)*
s(24,32,20)s(32,32,28)s(48,32,20)*-
s(48,32,20)s(24,32,28)+t(40,32,12)-
s(48,24,20)t(40,24,20)s(40,32,20)*-
s(32,32,20)t(32,48,28)c(32,32,20)**
c(24,40,20)c(32,40,20)*c(32,24,20)*
s(32,24,20)s(32,40,28)*t(48,32,12)-
s(32,16,20)c(24,32,20)c(24,24,20)**
s(16,40,20)s(8,32,12)-t(40,32,20)+
t(16,24,12)t(16,56,12)+s(40,32,20)+
t(24,32,28)s(40,8,12)+c(40,40,20)*
s(24,32,20)c(32,24,20)t(32,32,12)-*
c(40,24,20)s(40,32,28)s(24,40,28)--
c(32,40,20)c(40,32,20)c(40,16,12)--
s(48,32,20)s(16,8,12)+s(40,32,28)*
s(32,32,12)s(48,24,20)s(48,40,20)++
s(24,40,28)s(24,32,28)*t(24,32,20)-
c(24,24,20)t(32,32,28)s(16,24,20)--
s(32,24,28)s(24,32,20)+s(40,32,20)*
c(24,24,12)t(48,24,12)+t(16,16,12)+
s(32,40,28)t(16,48,12)c(24,24,20)+-
c(40,16,12)s(16,48,20)+s(32,40,28)*
c(16,24,12)s(40,16,20)s(24,40,20)++
s(40,32,12)s(40,32,28)s(24,40,28)*+
c(32,40,20)t(24,40,20)s(24,48,20)+-
s(16,32,20)t(24,48,20)+s(24,32,20)*
s(24,40,20)t(16,16,12)s(40,48,12)++
c(32,24,20)s(40,48,20)s(48,32,12)--
t(40,48,12)t(32,32,28)t(24,40,20)*+
s(40,32,28)s(24,24,28)*t(24,32,28)*
s(40,32,20)s(40,48,12)c(40,32,12)+*
c(40,32,20)s(40,32,12)s(8,24,12)++
s(24,40,12)t(40,56,12)+t(40,40,20)+
c(24,40,12)s(48,16,20)s(40,24,28)*+
s(24,24,28)s(8,8,12)t(40,40,20)+*
c(48,40,12)s(32,24,28)s(48,8,12)-+
s(40,24,20)c(32,40,20)*t(32,40,20)+
c(32,24,20)t(32,16,12)-s(48,24,12)+
s(24,40,28)s(32,24,28)*t(32,40,28)*
s(24,40,28)s(24,24,28)c(40,32,12)-*
c(32,40,20)t(24,24,20)c(40,24,20)+-
s(40,16,12)t(24,40,28)c(48,48,12)-+
c(32,32,20)s(24,40,28)+c(40,24,20)*
s(40,32,20)c(32,32,20)*s(40,24,20)*
s(32,40,20)s(24,40,28)t(32,32,28)**
s(16,24,20)c(32,24,20)+t(24,40,28)+
t(24,32,28)s(8,40,12)-s(24,24,28)*
t(24,48,28)t(32,40,20)-c(40,40,20)-
s(32,32,20)t(32,48,20)-s(40,24,12)+
s(16,40,20)c(24,40,20)*s(40,24,20)+
s(48,40,20)c(32,40,12)-s(48,32,20)*
c(24,24,20)s(32,40,20)*s(48,32,12)+
c(40,24,20)c(32,32,20)*s(48,8,12)+
c(32,24,20)s(16,24,20)s(32,24,28)*-
c(32,32,20)s(32,24,28)*s(40,40,28)*
s(32,32,28)t(16,40,12)s(40,40,20)+-
s(32,32,28)s(24,40,12)-c(40,40,20)-
s(40,32,28)t(24,48,28)-c(32,32,20)*
s(24,40,20)s(48,24,20)s(48,32,20)*+
s(40,40,28)s(48,40,12)-s(48,32,12)-
s(32,40,28)s(16,32,20)s(32,40,20)+*
t(48,48,12)s(48,40,12)+s(24,16,12)+
s(24,32,28)c(32,32,12)-t(32,24,20)-
s(32,32,28)c(16,16,12)t(40,56,12)+-
t(24,48,20)t(32,40,20)+t(24,48,28)*
s(32,16,20)t(40,56,12)c(24,16,12)+-
c(24,32,20)c(24,40,20)*c(32,40,20)*
c(24,40,20)s(40,40,28)-c(40,32,20)+
t(24,40,20)s(48,16,12)s(40,8,12)++
s(48,40,20)c(24,16,12)+s(48,48,20)*
t(32,32,20)t(32,32,28)s(40,32,20)**
c(24,24,20)t(40,32,20)c(32,24,12)+-
t(40,40,20)s(16,48,20)-c(32,32,20)*
s(24,32,20)c(40,24,20)s(40,32,12)--
s(16,24,12)c(40,40,20)c(24,48,12)-+
s(40,16,20)s(32,16,12)-c(24,48,12)+
s(24,48,20)s(8,32,12)t(24,48,20)+*
t(32,48,28)t(24,24,20)t(32,40,28)+*
t(24,32,28)s(24,8,12)t(24,40,20)+*
s(40,40,28)c(24,32,20)-s(24,8,12)+
t(32,32,28)t(32,48,20)-t(32,40,28)*
c(24,24,20)c(16,40,12)-s(40,32,20)+
s(16,40,20)c(48,16,12)t(24,32,28)+*
s(24,24,20)s(40,24,28)*t(40,24,12)+
s(32,16,20)t(16,16,12)s(40,40,12)++
t(40,32,12)t(24,40,28)+s(40,40,12)-
t(32,32,20)t(32,16,12)-c(32,32,12)+
s(40,40,20)s(32,24,20)s(48,24,20)*-
c(32,40,20)s(16,40,20)s(8,32,12)-*
c(16,24,12)t(24,32,20)+t(48,40,12)+
c(40,24,20)c(32,40,20)*s(24,32,28)*
s(24,16,20)t(24,48,12)c(32,16,12)+-
c(16,48,12)s(48,16,20)+s(32,24,28)+
s(16,32,20)s(16,24,20)*c(32,16,12)-
c(40,40,20)s(32,24,12)-c(32,40,12)-
t(24,48,20)c(32,40,20)*c(40,16,12)+
t(32,40,28)t(24,40,28)c(16,40,12)-*
c(32,32,20)t(32,40,20)t(32,56,12)+*
s(32,48,12)s(32,24,20)+s(32,24,28)*
s(32,40,28)s(32,24,28)*s(40,16,12)+
s(32,24,28)s(24,40,28)s(40,40,28)**
c(40,48,12)s(40,8,12)+s(40,40,12)-
t(32,32,28)s(24,32,20)s(32,24,20)--
s(32,32,20)t(32,56,12)t(32,40,28)+*
t(32,32,28)s(16,48,12)+s(48,32,20)*
c(24,32,20)s(24,24,20)*s(48,32,20)-
t(32,40,20)t(40,56,12)+s(24,24,20)-
s(16,24,20)s(40,40,28)s(24,16,20)+*
c(40,16,12)t(32,40,20)c(40,32,20)*+
s(24,40,20)s(32,48,20)s(40,40,28)*-
s(40,48,20)t(32,48,12)-s(32,24,28)-
t(32,56,12)s(48,32,20)c(32,40,20)-+
t(40,32,20)t(32,40,28)s(40,40,20)+*
t(32,32,28)c(16,40,12)-s(24,32,20)*
t(32,40,28)s(32,32,28)s(24,32,28)**
c(24,32,20)t(40,48,20)-s(48,16,20)-
c(24,24,20)c(24,40,20)s(8,8,12)+-
t(32,40,28)c(48,40,12)+s(16,24,20)+
c(24,48,12)c(48,40,12)t(32,16,12)++
s(24,24,20)t(24,32,20)*s(48,48,12)+
s(40,24,20)s(48,32,20)*c(24,32,12)+
s(32,24,28)s(40,32,12)t(40,24,12)+-
s(48,40,20)s(24,8,12)t(32,48,20)++
s(24,24,20)s(48,24,20)-s(32,8,12)-
c(16,48,12)c(24,48,12)+s(32,40,12)+
s(40,48,20)c(40,40,20)*s(32,32,28)+
s(40,40,20)s(32,32,28)*s(48,40,12)+
s(24,24,28)c(24,24,12)c(48,40,12)+*
t(24,40,28)t(32,48,28)t(40,56,12)-*
t(32,40,28)s(32,24,20)t(40,24,12)--
c(32,32,20)s(40,32,12)c(48,16,12)+*
c(24,40,12)s(48,32,20)s(24,40,28)-+
s(24,24,12)s(32,32,12)+t(16,24,12)-
s(40,32,28)s(24,16,20)+s(32,40,28)*
s(24,24,20)s(24,24,28)s(8,16,12)-*
s(24,40,28)c(32,32,20)t(32,16,12)-*
t(32,32,28)s(16,32,12)c(24,32,12)+-
c(16,24,12)t(24,32,12)+t(24,48,20)+
t(24,48,12)s(16,40,12)+t(40,40,20)-
c(32,32,28)t(40,48,20)*s(32,48,20)*
c(32,24,20)s(48,16,20)*s(32,40,20)+
s(32,40,28)t(32,32,20)-s(40,40,28)*
s(40,40,28)t(24,16,12)s(48,32,20)+*
s(40,16,20)c(24,16,12)s(40,24,12)+*
s(16,32,20)s(24,16,20)s(48,8,12)++
s(24,32,28)s(16,48,20)t(24,40,28)**
c(48,48,12)s(32,24,12)+s(24,40,12)+
s(8,48,12)c(24,32,20)+c(32,32,28)*
t(40,32,20)s(48,48,20)s(32,32,20)-+
s(24,32,28)t(24,48,28)s(40,32,12)+*
s(40,32,20)c(24,40,20)t(32,48,20)*-
s(32,24,28)s(24,32,28)s(16,40,12)--
t(32,48,28)s(24,32,28)s(32,16,20)+*
s(40,40,28)s(24,32,28)c(24,32,12)-*
t(24,56,12)s(32,16,20)s(48,24,12)-+
s(40,40,28)c(40,48,12)c(16,24,12)+-
c(32,32,20)c(24,24,20)*s(8,24,12)+
c(24,24,20)t(40,24,20)c(24,32,12)--
s(24,16,20)s(32,24,20)s(24,32,28)+*
s(40,40,20)t(24,48,28)c(24,40,20)*-
c(32,24,20)s(24,40,12)-s(48,24,12)-
s(24,48,20)t(40,24,20)s(24,32,20)+*
t(48,24,12)t(40,40,20)+s(40,48,20)*
s(32,16,20)s(32,32,28)*c(48,24,12)+
s(24,16,12)s(24,32,28)s(40,32,28)*+
c(32,32,20)s(32,16,12)c(24,40,12)+*
s(32,16,20)t(48,40,12)+t(16,48,12)+
s(40,48,12)s(40,24,20)c(40,16,12)-+
s(32,40,28)s(48,48,20)+s(32,32,28)+
s(40,40,12)c(40,24,12)+t(40,48,20)-
s(40,40,28)t(24,48,28)s(48,24,12)+*
s(48,40,20)s(48,48,20)*s(40,8,12)+
s(24,40,20)c(40,24,20)c(24,16,12)+-
s(32,40,20)s(48,48,20)+c(32,24,20)*
t(24,16,12)s(24,32,28)t(32,24,20)*+
s(24,32,28)s(32,24,28)s(48,32,20)*+
c(32,32,20)s(48,24,20)+c(48,16,12)-
t(40,40,20)t(48,32,12)-t(24,48,12)-
s(40,24,12)t(24,32,28)s(40,16,20)-+
s(16,40,20)s(24,32,28)s(32,16,20)-*
t(32,32,20)t(48,16,12)+t(48,32,12)+
s(24,24,28)t(32,32,28)c(24,48,12)--
c(24,32,20)t(32,32,28)*t(24,48,28)*
s(48,16,20)t(48,16,12)-s(40,24,28)+
c(24,32,20)s(32,32,20)t(40,24,12)-*
t(32,48,28)s(48,40,20)s(40,48,20)+*
s(40,48,20)s(24,16,20)t(16,16,12)-+
t(40,32,20)c(32,40,12)+t(32,48,12)-
s(32,40,20)s(32,24,20)s(48,40,20)+*
t(24,32,28)s(32,32,20)s(16,24,12)--
s(16,48,20)c(48,40,12)+t(24,48,28)-
s(32,32,20)c(48,16,12)s(40,40,28)+*
s(32,32,20)t(32,40,28)*s(24,24,28)*
t(40,16,12)s(48,24,12)+s(48,40,12)+
c(40,40,20)s(24,48,20)s(24,8,12)+*
s(40,40,20)t(48,32,12)-s(40,24,12)+
t(40,48,20)s(24,40,20)c(48,48,12)+*
c(32,40,20)t(48,16,12)s(8,32,12)++
t(40,24,20)t(32,32,28)+t(32,40,28)*
t(48,56,12)s(32,24,28)+s(40,40,20)*
s(16,48,20)s(24,32,20)-s(24,48,12)-
c(40,40,20)s(8,40,12)s(40,24,28)+*
c(40,32,20)c(32,32,12)-s(48,32,20)*
t(40,24,12)t(16,16,12)t(24,24,20)++
c(32,40,20)s(16,32,20)-s(40,40,12)-
s(40,24,20)s(24,40,12)s(48,40,12)+-
s(32,24,20)s(24,16,12)t(32,32,28)+*
s(24,8,12)c(32,40,20)t(32,32,20)-+
c(24,32,20)s(24,24,12)-c(24,40,12)-
t(24,40,28)t(40,40,20)s(16,24,20)+-
t(32,48,28)c(32,32,20)t(24,32,28)*-
s(24,32,28)c(48,48,12)+s(32,40,20)*
s(24,40,28)s(24,32,28)c(32,24,12)-*
s(32,32,20)s(48,32,12)-s(40,40,28)*
s(16,40,20)s(24,24,28)s(32,8,12)-*
s(8,16,12)s(24,40,20)+t(32,48,28)-
s(40,32,28)s(48,40,20)*t(40,32,20)+
t(24,32,28)t(24,32,12)-s(32,24,28)*
c(48,16,12)s(16,24,20)+s(16,48,20)-
s(32,48,20)t(24,40,12)-s(24,24,12)+
t(24,40,28)s(40,32,20)c(48,24,12)--
s(40,32,20)t(40,48,12)t(48,32,12)+-
s(40,24,20)s(24,24,12)-s(32,32,28)*
s(40,32,12)t(24,32,28)+c(40,24,20)*
s(16,48,20)t(24,40,28)t(32,32,20)--
s(8,32,12)s(32,16,20)+s(48,24,12)+
s(32,24,12)c(32,40,12)+t(24,48,20)-
c(40,24,20)t(40,32,12)-s(24,24,28)-
s(16,16,12)s(24,8,12)c(40,32,20)++
s(32,40,28)c(48,24,12)-t(40,48,20)-
c(40,40,20)t(24,48,20)+c(32,24,20)*
s(16,48,20)s(24,48,20)t(32,56,12)-*
s(40,40,20)s(16,48,12)+s(40,24,20)*
c(32,32,28)s(16,40,20)-t(32,32,28)*
c(48,24,12)s(24,40,20)c(40,40,20)*+
t(24,40,28)c(32,40,20)*t(24,48,28)*
s(24,48,20)t(40,48,20)s(48,32,12)--
c(40,40,20)c(48,32,12)-s(16,8,12)+
s(40,32,28)c(40,40,20)s(16,32,12)++
s(48,48,20)c(48,16,12)s(40,32,12)+-
s(24,32,20)c(24,24,20)s(16,32,12)--
c(40,24,20)t(24,40,28)c(24,32,20)*+
s(40,40,20)s(40,32,28)c(40,40,20)**
c(32,32,28)s(8,24,12)c(48,24,12)+*
s(24,48,20)c(40,32,12)+s(32,48,20)*
t(24,40,20)c(40,40,20)s(24,32,20)+*
c(48,32,12)c(24,40,20)+c(32,40,20)*
t(40,56,12)s(16,32,20)+c(48,32,12)+
t(40,32,20)t(32,40,12)-s(24,8,12)+
s(32,24,12)c(40,40,12)+s(40,32,20)*
s(32,40,20)c(40,24,12)c(48,48,12)+-
s(32,48,20)t(24,24,20)s(32,32,28)*+
s(24,32,28)s(32,48,20)-c(32,32,20)*
s(40,32,12)s(24,24,20)+t(24,16,12)-
c(40,40,20)s(32,32,12)-s(48,32,12)-
t(40,40,20)s(40,16,20)t(32,56,12)+-
s(16,16,20)s(24,16,20)*t(40,32,20)+
s(40,32,20)s(32,40,20)*t(24,32,20)+
t(24,32,28)c(32,32,20)t(40,16,12)-+
c(40,40,20)c(40,24,12)-c(48,24,12)+
s(24,40,28)c(40,32,20)c(16,16,12)++
s(16,24,20)t(48,24,12)t(32,32,28)+-
s(24,32,28)s(40,24,20)*t(24,40,20)-
c(24,24,20)s(32,32,20)t(40,32,12)-*
s(40,24,20)s(24,32,12)-c(32,32,20)*
c(32,24,20)s(48,40,20)+c(32,32,20)*
t(24,48,20)t(24,24,20)+s(24,24,28)*
s(32,40,28)c(48,24,12)-c(40,32,20)*
s(40,16,20)c(32,40,20)c(40,40,20)*-
s(32,24,20)c(32,32,20)s(24,24,28)**
s(40,32,28)t(24,24,12)-t(48,56,12)+
s(24,32,28)s(16,40,20)*c(48,24,12)+
s(32,40,28)s(24,24,28)-t(16,56,12)-
t(32,40,28)s(40,24,28)c(24,24,20)**
t(32,32,28)s(32,24,12)s(8,32,12)+-
s(48,24,20)c(24,32,20)-s(48,32,12)-
s(32,40,20)t(48,16,12)+s(32,24,28)*
s(40,24,20)c(24,32,12)+s(40,32,28)*
c(40,40,20)s(40,32,20)s(48,40,20)*-
t(32,32,28)t(32,32,20)-s(24,48,12)-
s(32,16,20)s(32,48,20)+s(24,16,20)*
t(16,40,12)s(32,24,20)c(40,32,12)-+
s(16,48,20)c(24,40,20)+t(32,48,20)*
c(40,40,20)t(40,48,12)-c(32,32,20)*
c(32,24,20)s(48,40,12)t(40,32,20)++
t(32,48,20)s(40,24,28)s(24,24,20)*+
c(16,40,12)s(32,32,20)+t(32,40,12)-
s(32,32,28)c(40,24,20)s(32,16,20)*-
s(48,24,20)c(32,32,28)*s(48,32,20)*
s(24,32,20)s(16,32,20)t(16,16,12)+*
c(24,40,20)s(24,24,20)s(32,16,12)-*
s(24,40,28)t(32,56,12)s(16,40,20)+-
c(24,24,20)s(24,40,28)s(48,16,20)+*
c(48,16,12)s(48,40,12)s(8,32,12)++
c(32,32,20)s(40,48,20)-s(40,24,28)*
s(32,32,20)c(24,48,12)-c(24,32,20)*
t(32,48,28)s(16,32,20)t(32,24,12)+-
s(16,24,20)t(24,48,28)t(24,32,28)*-
t(24,24,12)s(16,40,20)t(32,48,28)-+
c(24,24,12)s(32,24,12)s(16,40,12)++
t(24,32,28)s(40,32,20)s(24,24,28)*-
t(32,48,28)t(24,56,12)-t(32,56,12)-
s(24,24,20)s(40,24,12)s(24,16,12)+-
s(16,8,12)s(24,48,20)t(24,48,28)*+
s(32,32,28)s(24,24,12)c(40,40,20)+*
c(40,40,20)s(40,48,20)*t(40,40,20)*
s(16,32,20)s(32,16,20)-s(24,32,12)-
s(40,24,28)c(32,40,20)-t(16,48,12)+
c(32,24,20)c(32,16,12)s(32,8,12)+*
c(40,32,20)c(32,40,20)t(32,48,20)-*
s(24,40,28)s(40,48,20)s(32,48,20)**
c(24,32,12)s(32,24,12)+s(24,40,20)*
s(32,40,28)t(32,32,28)-s(48,24,20)-
s(40,24,20)t(40,48,12)s(16,40,20)+-
s(40,24,28)c(24,24,20)s(40,32,28)*-
c(40,40,20)s(48,24,12)+c(32,32,20)*
s(24,40,28)t(24,24,20)-c(40,40,20)-
t(48,32,12)t(24,40,28)+t(32,48,20)-
c(48,40,12)s(16,32,20)+s(24,32,12)-
s(32,32,20)s(32,8,12)c(24,40,12)+-
c(32,32,28)s(16,40,20)s(16,24,20)+*
s(32,24,20)s(40,48,20)t(32,48,28)*-
c(40,32,20)s(32,40,28)*s(16,40,12)+
s(40,24,20)s(40,8,12)+s(40,32,20)*
t(24,24,20)s(32,48,20)+t(24,32,28)*
c(40,40,20)t(24,40,12)-c(48,40,12)-
s(32,24,12)t(24,56,12)+c(40,40,20)+
s(40,40,28)s(24,16,20)-c(32,24,20)*
s(32,24,28)s(40,48,20)c(40,32,12)+*
t(24,40,28)c(24,40,20)*s(40,40,28)*
t(32,40,28)s(40,24,28)*c(24,48,12)+
c(32,24,20)s(32,48,20)s(24,32,12)+*
s(48,40,20)c(40,24,20)-c(48,24,12)+
c(24,32,20)c(32,32,20)*t(32,48,12)-
t(32,48,20)s(40,32,20)c(24,32,12)--
s(16,40,12)t(32,16,12)+s(8,16,12)+
s(48,24,20)s(24,16,20)-t(32,16,12)+
s(16,32,12)s(48,40,20)s(48,24,20)*+
t(24,40,28)s(24,24,28)c(24,40,20)**
c(24,32,20)c(40,32,20)t(32,32,28)**
s(48,16,20)s(32,32,28)c(48,16,12)-+
c(40,16,12)s(24,8,12)+t(40,40,12)+
t(32,40,28)c(24,32,20)s(24,16,20)-*
c(32,40,20)c(48,48,12)-s(48,48,20)+
s(48,40,20)t(24,48,28)-s(32,24,20)-
t(32,32,28)s(32,32,28)t(24,32,28)**
s(40,32,28)t(32,40,28)s(16,48,20)--
c(32,32,20)s(48,40,12)s(24,48,20)+*
c(32,32,28)s(48,40,20)-s(32,24,20)-
c(32,24,20)s(48,32,20)+s(40,8,12)-
c(40,32,20)t(24,32,20)s(16,16,12)-+
t(48,32,12)t(24,48,12)+t(48,56,12)+
s(32,24,20)s(40,24,20)t(16,40,12)+*
s(40,40,20)t(32,40,28)*s(32,32,20)*
t(24,32,28)t(32,40,28)*c(40,40,20)*
s(24,24,28)c(24,32,20)t(32,32,28)*-
s(48,40,20)s(40,48,20)*s(32,32,12)-
s(48,24,20)t(16,56,12)+s(48,16,20)*
s(24,16,12)s(40,32,20)+t(32,40,28)*
t(24,40,28)s(24,48,12)t(32,32,12)+*
s(48,24,20)c(32,32,20)t(24,40,20)--
s(16,48,20)s(24,32,12)-t(16,16,12)+
t(24,48,28)s(32,32,20)-c(32,32,28)*
c(48,16,12)s(32,48,20)s(8,40,12)++
c(32,24,20)s(16,32,20)s(32,32,12)-+
c(40,48,12)s(8,40,12)t(48,16,12)++
t(32,24,12)s(40,48,12)+c(32,32,20)+
c(32,24,20)c(48,40,12)-s(40,32,20)*
s(32,32,28)s(24,48,20)*t(16,16,12)+
s(16,32,20)s(32,24,28)+s(32,32,28)*
t(32,40,20)c(32,24,12)c(24,16,12)+-
s(24,40,28)c(24,32,20)*s(32,40,28)*
s(48,48,20)s(32,40,20)-s(40,40,28)*
s(32,24,20)s(40,32,20)+s(32,40,20)*
c(24,24,20)s(32,32,28)s(40,24,12)-*
s(24,32,20)s(16,16,12)t(40,24,12)+-
c(48,24,12)t(24,40,12)+c(40,16,12)+
s(48,40,20)s(48,24,20)+c(32,32,28)*
s(24,32,12)s(48,16,12)+s(40,48,20)+
s(32,40,28)s(48,32,20)*c(32,40,20)*
s(16,32,20)s(24,24,28)*c(16,16,12)+
s(32,40,20)t(32,32,20)+t(24,32,12)-
t(48,32,12)c(24,16,12)+t(40,24,20)-
t(24,32,28)s(48,24,12)+c(32,24,20)*
s(16,40,12)t(24,40,12)t(32,16,12)++
s(32,32,28)t(32,24,12)-s(48,16,12)+
t(40,32,12)s(16,48,20)s(24,40,28)*+
t(24,40,28)s(48,24,12)+s(24,40,20)-
s(40,32,20)s(32,40,20)*t(32,16,12)+
t(32,40,28)s(32,32,20)*s(32,48,20)*
s(40,40,28)c(24,40,20)s(32,24,20)-*
t(32,48,28)s(24,40,28)+s(40,16,20)+
s(24,32,20)t(32,32,28)s(24,24,28)**
t(24,32,28)c(16,40,12)t(32,24,20)+*
t(40,40,20)s(24,48,12)-t(48,56,12)+
c(40,32,20)c(24,32,20)*c(24,40,12)+
s(24,48,20)s(8,16,12)+s(40,40,20)-
t(40,48,20)c(40,24,20)c(32,40,20)*+
s(40,16,20)s(40,40,20)t(32,32,12)-+
c(32,32,20)s(32,24,28)c(16,16,12)-*
c(32,32,20)s(24,32,28)t(24,32,20)-*
t(32,40,12)t(32,32,28)t(24,40,20)*+
s(24,48,20)s(24,24,20)+s(24,24,28)*
s(32,40,28)s(24,40,20)s(32,24,28)+*
s(24,24,28)s(16,48,20)s(48,32,20)+*
t(32,48,28)c(16,48,12)s(24,40,20)+*
c(32,32,20)c(24,32,12)-s(40,16,20)+
c(24,32,20)c(40,40,20)*s(48,16,20)-
c(40,24,20)s(32,40,28)t(48,48,12)-*
s(16,48,20)c(16,24,12)+t(40,32,12)+
s(16,48,12)s(24,24,20)s(24,8,12)++
t(24,48,20)t(32,40,12)-t(48,24,12)+
s(24,48,20)t(16,56,12)-t(32,32,20)+
t(32,32,28)t(24,32,20)*s(24,24,12)+
s(32,24,20)s(24,24,28)s(32,40,20)-*
s(32,48,12)s(48,32,20)t(32,24,20)-+
s(48,8,12)s(24,32,20)s(32,24,12)-+
c(40,32,12)s(32,8,12)+t(32,24,12)-
s(48,24,20)t(24,24,20)c(40,32,20)+*
s(16,40,12)s(24,24,20)+c(24,40,20)-
s(32,32,20)s(16,40,12)-c(24,40,20)*
s(32,16,20)s(24,24,20)*s(32,48,12)+
s(8,16,12)s(48,24,20)+s(40,16,20)*
c(32,24,20)s(24,16,20)*t(16,24,12)-
c(40,32,20)c(32,24,20)*s(24,32,28)*
c(32,32,20)s(24,32,20)c(16,32,12)-*
c(24,40,20)c(32,32,28)s(24,24,28)**
s(32,40,28)s(40,48,20)-c(32,40,12)-
c(32,32,28)c(32,48,12)-t(24,32,20)*
c(32,32,20)t(32,40,28)t(24,32,28)--
s(40,16,12)s(16,32,20)t(32,32,28)*+
c(32,40,20)s(48,16,20)t(40,56,12)+-
s(40,16,20)s(40,32,28)*s(48,40,20)-
t(24,48,12)c(32,32,20)c(40,24,20)*+
t(48,32,12)c(40,32,12)t(48,40,12)++
s(40,40,28)s(40,24,28)s(24,24,28)**
t(32,32,20)s(40,32,28)c(40,24,20)**
c(40,40,20)s(40,48,20)*c(24,24,20)+
c(40,24,12)c(32,32,20)t(24,48,28)*+
t(48,24,12)c(40,40,20)s(48,24,12)-+
t(24,40,20)t(32,40,28)*s(16,40,12)+
s(48,8,12)c(32,32,20)s(24,24,28)*+
s(40,24,20)c(32,32,28)s(48,16,12)-*
s(16,48,20)s(24,48,12)s(8,40,12)+*
s(32,40,28)s(24,16,20)-c(16,48,12)-
s(16,32,20)s(16,16,20)t(24,40,28)+*
s(40,24,20)s(16,32,12)+s(40,40,28)*
s(32,16,20)s(32,32,28)t(24,32,12)-*
s(32,32,28)c(16,32,12)s(8,48,12)++
t(32,32,28)s(48,40,20)-c(24,24,12)-
s(32,32,20)c(40,40,12)+s(16,32,12)+
s(40,24,28)c(16,16,12)+c(24,32,12)-
s(40,16,20)s(40,32,28)*c(24,32,12)-
t(32,40,28)t(16,48,12)-t(32,48,20)-
s(32,24,20)c(40,32,20)*t(32,32,28)*
s(8,16,12)c(24,24,20)s(32,40,20)*+
s(32,40,28)c(24,40,20)s(48,40,20)-*
t(32,40,28)s(24,40,20)*s(24,48,20)*
s(48,48,20)s(40,40,20)-s(40,40,28)+
s(32,40,28)c(48,32,12)-s(24,24,20)*
t(24,32,20)s(32,32,20)t(24,16,12)+*
c(16,24,12)s(8,8,12)+t(16,32,12)-
c(24,32,20)c(24,24,20)*s(16,40,20)*
c(24,24,20)s(48,16,20)s(32,40,12)+-
s(32,16,20)t(40,24,20)t(32,32,20)+-
c(32,24,12)c(24,16,12)+s(40,48,20)+
s(32,24,20)s(32,32,28)s(40,16,20)--
s(40,16,12)s(40,48,20)+s(40,8,12)-
s(24,32,28)s(16,24,20)*t(40,32,20)+
s(16,16,20)s(32,32,28)s(16,40,20)++
c(32,24,20)s(48,40,20)-t(24,32,28)+
c(48,48,12)s(40,40,20)+s(40,32,28)*
t(32,32,12)s(8,40,12)c(24,16,12)++
t(16,32,12)s(40,40,12)c(32,16,12)++
c(32,40,12)s(40,32,20)t(24,32,28)*+
t(24,40,28)t(32,24,20)-t(48,32,12)+
s(8,40,12)s(40,40,20)+c(24,32,20)*
t(32,48,28)s(40,40,20)+s(24,24,28)*
s(32,40,20)c(48,48,12)-c(32,24,12)-
s(24,16,20)c(24,24,20)s(16,40,20)-*
s(24,32,20)t(24,24,12)-s(24,24,28)*
c(40,40,20)t(24,40,12)-t(24,24,20)+
s(32,8,12)t(40,48,12)t(24,56,12)++
s(24,48,20)t(32,48,28)s(48,16,20)+*
t(32,24,12)t(32,48,28)s(48,48,20)*+
s(8,32,12)s(48,24,20)c(40,40,20)++
t(32,32,28)s(24,48,12)-s(24,24,20)*
s(48,40,20)c(40,40,20)c(40,32,20)*+
t(24,32,28)c(32,40,20)c(32,48,12)-+
t(32,24,12)t(32,16,12)+t(32,48,12)+
s(40,32,28)s(32,48,20)*s(16,48,12)-
s(48,24,20)c(24,40,20)s(24,40,12)-+
s(48,16,12)c(40,48,12)c(40,24,12)++
s(24,32,28)c(32,16,12)-s(16,48,20)*
c(24,32,20)t(32,48,20)t(24,48,28)*+
c(32,32,28)c(32,24,12)-s(40,16,20)-
s(40,24,28)c(24,32,20)t(32,32,28)**
t(32,40,20)t(16,48,12)+c(16,40,12)-
s(48,32,20)s(48,16,20)s(48,32,12)+*
c(24,32,20)s(32,40,28)*s(24,32,20)*
s(24,40,28)s(48,48,20)s(48,40,20)*-
t(24,48,28)c(24,40,20)*s(48,32,12)+
t(32,16,12)c(16,40,12)s(24,24,12)++
t(24,48,12)s(40,24,12)+t(32,24,12)-
s(16,32,12)c(48,40,12)+c(40,48,12)-
s(32,16,20)s(32,32,12)t(24,16,12)+-
t(32,40,28)c(32,32,20)s(16,40,20)--
s(24,32,28)s(16,32,12)-c(16,40,12)-
c(32,48,12)s(24,24,20)+s(40,24,28)+
t(16,48,12)s(32,24,12)+s(32,8,12)+
t(32,32,28)s(40,32,20)t(24,24,12)+*
s(24,32,20)t(32,48,20)+c(40,32,20)-
s(24,32,20)t(24,40,28)+s(16,48,20)*
s(40,40,28)c(40,48,12)s(24,32,12)+*
s(8,16,12)c(40,40,20)+s(24,48,20)*
s(32,24,28)s(40,40,20)s(48,40,20)*+
s(24,16,20)c(24,24,20)t(32,40,20)+*
s(48,40,20)s(48,48,20)t(32,48,28)*-
c(32,40,20)t(24,40,28)c(32,32,20)**
s(48,24,20)t(32,48,28)t(40,32,12)++
s(24,16,20)t(24,40,28)s(40,32,28)++
t(24,48,12)s(40,40,12)+s(24,32,20)+
c(32,24,12)s(32,40,12)+c(40,24,20)*
c(24,40,20)c(32,24,20)s(40,32,28)*+
c(32,40,20)t(32,56,12)-t(24,32,20)*
c(32,40,20)c(32,32,28)s(40,24,28)*-
s(16,24,12)s(40,32,28)t(24,32,20)-+
c(32,32,12)c(24,24,20)t(32,40,28)*+
s(16,32,12)s(40,48,12)c(24,24,12)++
c(40,40,20)c(32,24,20)c(40,24,20)**
t(32,48,28)t(24,48,28)s(24,48,12)-*
t(24,48,20)c(48,16,12)+s(24,40,28)*
s(40,32,28)t(24,32,20)-s(48,48,20)*
s(16,16,20)c(24,24,20)*t(24,48,28)-
c(48,48,12)s(16,40,20)s(16,24,20)-+
s(40,40,28)c(48,40,12)c(24,24,12)+-
s(40,40,28)t(40,56,12)t(32,40,28)+*
c(24,40,20)s(48,40,12)t(24,32,28)+*
s(48,40,20)t(32,24,12)+c(32,32,20)*
s(16,32,20)t(24,32,28)*s(8,32,12)-
s(24,32,28)c(40,24,20)-s(24,24,28)*
c(40,40,20)s(48,24,20)*s(16,48,12)+
t(32,48,20)s(32,16,20)+t(40,48,20)-
t(32,48,12)s(24,8,12)+t(16,16,12)+
s(40,40,28)c(32,40,12)-s(48,16,20)-
s(24,16,20)t(16,56,12)+c(24,32,20)-
t(24,40,28)c(32,32,20)*s(32,24,28)*
s(48,40,20)s(40,24,20)+c(24,32,20)*
c(40,40,20)t(24,32,28)*t(40,16,12)+
s(24,40,28)t(24,32,28)*s(40,32,12)-
t(32,32,12)s(24,48,20)+s(40,48,20)*
t(24,32,28)t(24,16,12)c(40,40,12)+*
s(32,24,28)s(40,32,20)-c(24,32,12)-
c(24,32,20)s(40,16,12)+s(32,48,20)*
t(24,40,28)s(32,40,28)s(40,24,20)-*
s(24,32,28)s(32,48,20)c(32,32,12)--
s(16,32,20)t(32,16,12)+t(32,32,20)-
s(24,48,20)c(32,32,20)s(32,24,20)*+
t(32,32,28)s(24,48,12)-s(40,40,28)*
s(40,16,20)s(48,16,20)*s(40,32,28)*
s(32,16,20)s(40,40,28)s(16,24,20)+*
t(32,48,12)s(48,32,20)+t(24,48,20)-
s(16,48,20)t(24,48,28)c(40,40,20)*+
s(8,48,12)t(32,32,12)t(24,32,20)++
t(24,40,28)s(16,24,12)-s(32,40,20)+
c(24,32,20)t(32,40,20)-c(40,24,20)-
s(32,24,28)t(32,40,28)+c(32,32,20)-
t(24,32,28)c(24,40,20)t(32,56,12)-+
c(24,40,20)t(40,40,12)-t(16,16,12)+
t(24,48,28)s(24,32,12)-s(24,40,28)*
s(24,32,20)t(24,32,28)*t(40,40,12)-
c(32,40,12)t(16,24,12)+s(40,40,28)*
c(24,40,20)s(8,32,12)-s(24,32,20)*
c(24,24,20)c(24,40,20)s(48,16,12)+*
s(48,24,20)t(32,24,12)+c(48,40,12)+
s(40,40,20)c(40,24,20)s(32,32,28)**
s(32,40,20)t(24,40,12)s(24,32,12)+-
s(40,32,20)t(32,32,28)+s(48,48,12)-
s(24,32,20)s(16,40,20)*c(16,32,12)+
t(40,56,12)t(32,24,20)s(24,24,20)*+
s(32,40,28)t(16,24,12)s(16,48,20)+*
t(24,48,28)t(24,40,20)s(16,48,20)+*
t(24,32,28)s(40,16,20)-s(48,32,20)-
c(16,48,12)s(16,16,20)s(32,16,12)-+
s(32,32,20)s(40,40,28)s(32,40,20)--
c(32,24,12)s(32,16,20)s(40,16,12)-+
t(24,48,28)t(24,32,28)*t(24,16,12)+
t(24,16,12)t(24,48,28)+s(24,32,20)*
s(8,16,12)c(32,24,20)+t(40,24,12)-
s(32,32,28)s(32,48,20)t(40,48,20)--
s(32,16,20)c(40,24,20)*t(48,16,12)-
s(40,32,20)s(32,40,12)-c(48,40,12)+
t(32,48,28)s(40,24,28)-s(32,32,28)-
c(16,32,12)s(40,40,20)+s(40,48,20)*
c(24,24,20)c(48,16,12)+s(48,32,20)-
c(40,16,12)t(40,40,12)t(24,40,20)++
s(40,48,20)c(32,40,12)c(16,32,12)+-
s(24,48,20)t(24,32,12)-c(32,40,12)-
s(40,16,12)c(32,40,12)+s(48,16,12)+
s(24,24,20)s(32,40,12)-c(48,40,12)+
s(32,32,28)s(32,16,20)s(16,24,12)-*
c(40,40,12)c(24,32,20)s(48,32,20)-+
s(40,40,20)t(32,32,28)s(40,32,20)**
c(32,40,20)s(40,24,28)t(24,32,28)**
s(40,48,20)t(32,16,12)s(16,48,20)++
c(48,32,12)s(8,32,12)+c(32,32,28)*
s(48,40,20)c(40,32,20)t(48,24,12)-*
s(24,32,28)s(40,48,12)-s(8,40,12)-
s(24,40,28)s(40,24,28)*s(32,24,20)*
t(24,32,20)s(48,32,20)+s(32,40,20)*
c(32,32,28)s(40,48,20)*c(40,32,20)*
t(32,48,28)s(48,32,20)s(32,48,20)+*
t(32,24,20)s(48,8,12)t(24,48,28)+-
s(40,24,20)s(40,16,20)s(24,16,20)*+
s(32,32,28)t(24,40,28)+s(48,32,20)+
s(16,16,20)s(24,32,28)s(32,48,20)-*
s(24,32,20)s(16,40,20)*c(32,40,12)+
t(24,32,20)s(24,32,20)c(24,24,20)**
t(40,56,12)s(48,48,12)t(48,56,12)++
s(40,40,12)s(40,32,28)t(24,40,28)*+
s(32,32,28)s(40,32,28)*t(24,32,28)-
c(40,16,12)s(24,48,20)s(8,40,12)++
s(48,24,20)t(24,32,28)-s(40,48,12)+
t(24,40,28)s(24,40,20)*t(24,32,20)*
s(24,24,28)s(40,16,20)*s(40,24,20)*
s(32,16,20)c(40,24,20)s(8,40,12)+*
c(24,32,20)s(24,32,28)t(24,40,20)-*
s(32,40,28)s(16,40,12)-s(48,32,20)-
c(24,16,12)s(8,16,12)+s(40,32,28)-
c(48,16,12)t(32,40,20)+s(40,48,12)-
c(16,32,12)c(40,40,20)s(48,40,20)*+
s(16,32,20)s(32,32,28)*c(24,24,20)*
s(16,48,20)c(48,32,12)+c(24,40,12)-
c(40,24,12)s(32,40,20)+s(24,24,28)-
t(40,48,12)c(32,24,20)+s(24,32,28)*
s(48,32,20)c(32,16,12)-s(8,8,12)+
s(40,40,20)s(40,24,28)s(24,32,28)*+
s(24,40,28)s(16,16,12)+t(32,24,20)+
c(40,24,20)s(40,32,28)*t(40,40,20)-
s(32,32,20)s(40,40,28)s(40,48,12)-*
c(16,24,12)s(16,48,20)+c(32,32,20)*
t(24,32,28)s(16,40,20)*s(24,24,28)*
s(24,48,20)t(32,48,12)-t(32,32,12)-
c(16,48,12)s(16,16,20)s(16,24,20)*+
s(40,8,12)s(40,40,20)+s(48,24,20)*
t(32,48,20)t(40,48,12)-s(40,16,20)+
c(40,32,20)s(16,32,12)s(40,16,20)+*
t(48,56,12)s(48,24,20)s(32,24,28)*+
c(32,24,20)s(24,32,20)-s(32,8,12)+
s(40,32,20)s(48,32,20)*s(48,40,20)*
c(24,16,12)s(16,24,20)+t(16,24,12)-
c(32,24,20)c(24,32,20)*t(24,48,20)-
s(16,16,20)c(32,24,12)-s(16,24,20)+
s(48,40,20)t(24,40,28)c(24,32,12)--
t(32,48,28)c(24,40,20)s(40,32,28)**
t(32,48,20)c(48,16,12)+c(48,24,12)-
s(40,24,28)s(24,32,20)s(24,48,12)-+
s(32,40,28)s(40,32,28)-s(8,8,12)+
s(24,40,20)s(32,16,20)-c(48,48,12)+
t(24,40,20)s(40,48,20)+t(32,32,28)*
t(24,32,28)c(32,48,12)-t(24,32,20)+
s(16,24,20)s(24,16,20)+s(40,24,28)*
s(8,16,12)s(32,24,28)+s(40,48,20)+
t(48,32,12)s(48,8,12)+t(24,32,20)+
s(16,32,20)t(32,32,20)-t(48,40,12)+
s(16,48,20)c(32,32,28)s(16,32,12)-*
s(32,8,12)s(16,32,20)t(32,40,28)-+
s(24,40,12)s(48,40,20)+c(32,32,20)*
s(32,24,28)t(40,24,12)s(24,48,20)+*
s(16,40,20)c(32,32,20)s(48,24,20)--
c(32,40,20)s(24,40,28)*c(40,24,20)*
s(32,32,20)t(48,32,12)+t(32,48,28)-
s(40,16,20)t(32,40,28)-t(32,48,28)+
s(24,24,28)t(32,24,20)s(40,48,20)+*
s(40,32,28)t(32,48,28)*s(48,32,20)+
t(32,32,28)c(32,24,20)*c(48,32,12)-
s(24,32,28)s(16,16,12)-s(40,24,20)*
s(32,32,28)t(40,40,12)-s(32,24,28)*
t(32,40,20)s(24,40,20)*c(40,16,12)+
s(48,40,20)t(24,24,20)s(16,32,12)++
s(32,40,28)s(32,24,20)c(24,24,20)**
s(16,40,20)t(24,32,28)*s(8,48,12)-
s(40,24,28)c(40,24,20)c(16,24,12)+*
t(24,40,28)s(24,40,12)s(24,16,12)+*
c(32,32,28)s(48,48,12)t(32,16,12)+-
s(24,32,28)s(8,40,12)-t(48,24,12)+
s(48,24,20)t(24,32,28)-s(40,32,28)+
t(24,32,20)c(24,32,12)t(40,32,12)+*
s(32,40,20)s(40,32,28)+t(24,48,28)*
t(24,32,20)c(40,40,20)t(24,16,12)++
t(32,32,28)c(40,48,12)s(48,24,20)+*
t(24,24,20)s(16,48,20)s(24,48,20)*+
t(32,48,28)s(32,40,28)*s(16,48,12)+
s(24,48,20)s(40,40,28)*t(24,40,28)*
t(40,32,12)t(24,48,20)s(16,16,12)++
s(16,8,12)s(32,32,28)+c(48,48,12)+
s(32,24,28)t(48,48,12)s(32,40,20)++
t(32,40,28)s(40,8,12)+c(24,48,12)-
c(32,32,12)t(16,48,12)+s(24,24,20)+
s(24,40,28)c(32,32,20)*c(40,32,20)*
s(24,40,28)t(32,32,28)t(40,56,12)+-
s(32,32,28)s(40,24,20)t(40,16,12)-*
s(32,40,28)s(16,32,20)+c(32,40,12)-
c(16,48,12)s(48,40,20)c(32,32,20)-+
s(40,40,28)t(40,40,12)s(16,48,20)+*
s(40,24,20)s(32,40,28)*t(32,32,28)*
c(24,40,20)s(24,24,12)-c(40,32,20)*
c(48,24,12)s(24,40,20)s(40,48,12)-+
c(32,40,20)s(32,16,12)+c(32,32,20)*
c(48,16,12)t(32,40,28)+s(48,16,12)-
s(16,32,12)c(40,48,12)s(8,32,12)++
s(24,8,12)s(32,8,12)c(24,32,12)++
s(40,32,28)c(40,32,12)-c(40,16,12)+
s(16,24,20)s(16,32,20)t(32,24,20)--
s(40,16,20)s(32,16,20)*t(48,48,12)+
s(48,32,20)t(40,24,20)s(40,40,28)*-
s(48,32,20)t(40,32,20)*t(16,32,12)+
t(48,48,12)s(24,40,28)c(24,32,20)*+
s(24,32,28)s(32,24,28)s(16,48,20)--
s(16,40,20)s(48,40,20)t(32,32,20)+-
c(24,40,20)s(32,24,12)-s(32,40,28)*
s(24,24,28)c(32,16,12)t(40,48,12)+*
t(32,48,28)s(40,40,28)t(40,24,20)-*
s(32,24,28)s(40,24,12)-t(32,40,28)-
t(32,40,28)t(24,48,20)-s(48,40,20)*
t(32,40,28)c(32,40,20)*s(40,32,20)+
s(40,16,20)c(40,40,20)s(40,32,28)+*
c(40,40,20)t(24,32,20)-t(32,48,28)*
s(32,40,28)s(48,32,20)s(48,48,20)*-
s(48,40,20)t(32,48,20)t(40,48,12)+-
t(24,48,28)s(24,48,20)*s(16,48,20)*
t(40,48,20)s(16,24,20)s(40,40,20)+*
t(32,48,28)s(40,32,28)*s(32,16,20)+
t(48,32,12)s(24,48,20)+s(32,32,28)*
s(16,32,20)t(16,56,12)s(16,40,20)+*
s(24,16,20)s(40,8,12)s(48,24,12)+-
s(24,32,28)s(16,16,20)-s(16,24,20)-
c(24,40,20)t(48,48,12)+t(24,48,28)*
s(32,32,28)c(32,24,12)-c(24,24,12)-
s(16,48,20)t(32,48,20)t(24,40,28)*-
s(32,16,20)s(48,16,12)t(24,32,12)+-
c(32,40,20)t(24,48,20)-s(32,8,12)+
s(24,48,20)t(16,32,12)t(48,32,12)+-
s(40,24,28)s(24,32,20)s(16,32,12)-*
s(24,24,20)s(24,32,20)*t(24,32,28)*
s(40,24,20)s(32,16,12)-s(40,40,12)-
c(40,24,12)t(24,56,12)+s(48,40,20)+
s(40,40,28)s(24,40,28)*t(24,40,12)-
c(32,24,20)s(40,48,20)-c(24,24,20)+
s(24,40,28)s(16,16,20)-c(16,32,12)-
s(24,40,28)t(32,40,28)*t(32,32,28)*
t(32,40,20)c(32,48,12)+t(24,40,28)*
t(40,32,20)s(24,24,20)t(24,40,20)--
c(32,32,28)s(24,40,12)-t(24,48,28)*
t(24,48,28)s(32,24,20)-t(32,48,12)-
c(32,32,20)s(24,32,28)s(32,16,20)**
s(16,32,12)s(32,40,20)+t(16,40,12)-
s(32,24,12)s(24,32,20)c(24,40,20)*+
t(40,32,20)c(32,24,20)*c(24,48,12)+
t(16,48,12)s(48,16,20)t(32,16,12)++
t(24,24,20)c(32,32,20)*s(16,32,12)+
c(32,24,20)t(24,32,12)-t(32,24,20)*
c(40,32,20)c(24,40,20)+s(48,40,20)-
s(32,32,28)s(24,24,20)s(32,48,20)+-
t(32,40,28)c(16,32,12)-c(40,40,12)-
s(24,16,20)t(16,56,12)+c(24,32,12)-
s(24,32,12)c(32,40,12)+s(8,32,12)+
t(24,24,20)s(16,32,20)+s(16,24,20)*
s(24,40,28)s(40,40,28)-t(32,32,28)-
c(40,32,20)t(48,32,12)-s(48,40,20)*
s(32,48,20)t(40,32,20)-t(16,56,12)-
s(32,48,20)c(24,48,12)s(48,32,20)+*
c(32,32,28)s(24,48,20)t(32,24,12)+*
s(8,16,12)c(40,48,12)c(16,40,12)++
s(24,24,28)s(32,32,28)*s(16,48,20)-
s(16,16,20)t(24,16,12)-s(24,24,28)*
s(40,16,20)s(32,16,20)c(32,32,28)**
t(24,40,20)s(24,16,20)-t(48,16,12)+
t(32,48,28)c(24,40,20)c(40,48,12)-*
s(40,32,12)s(32,8,12)t(24,40,20)++
c(24,16,12)s(48,24,20)+s(32,24,20)*
s(24,24,28)t(32,24,12)-t(32,40,20)-
t(32,16,12)s(8,24,12)t(40,48,12)++
t(32,40,28)s(40,16,20)t(48,56,12)++
t(32,32,28)c(32,48,12)-t(32,40,20)-
c(32,32,20)c(40,32,20)*s(40,24,28)*
s(48,48,20)s(24,32,28)-s(48,40,12)-
s(40,16,20)s(40,24,28)t(24,40,28)-*
s(16,24,20)t(32,48,20)s(16,8,12)+-
s(24,40,28)c(48,48,12)+s(16,32,12)-
s(48,48,20)s(24,32,28)-c(40,48,12)+
s(48,32,12)s(16,48,12)+t(32,40,28)+
s(24,24,28)t(24,40,28)*t(32,48,20)-
c(16,40,12)t(32,32,28)t(24,32,28)*+
t(32,40,28)s(48,40,12)-c(40,32,20)+
s(48,24,20)s(40,40,28)s(24,40,20)*+
s(40,40,28)s(48,8,12)s(48,24,20)+*
t(24,24,20)s(24,8,12)+c(16,24,12)-
s(24,16,20)s(48,48,12)+s(32,16,20)*
t(24,32,20)s(32,32,20)c(32,24,20)**
s(40,32,12)c(24,40,20)t(32,32,20)-+
t(40,48,20)s(48,32,12)+t(48,24,12)+
c(32,32,20)s(32,16,20)*s(16,40,12)+
s(24,24,20)s(40,32,20)t(40,24,20)*-
c(48,40,12)t(24,32,28)s(24,24,12)-+
t(48,32,12)c(48,48,12)t(32,32,20)++
t(40,24,20)s(8,48,12)+s(16,16,12)+
c(40,40,20)s(24,40,28)c(40,32,20)*-
s(24,40,20)t(32,48,28)s(24,48,20)**
s(40,40,12)s(16,32,20)s(24,24,20)++
c(40,32,20)s(16,40,12)+s(40,32,28)*
c(16,16,12)s(48,16,20)s(40,40,12)++
s(48,32,20)s(40,40,28)*s(32,24,12)+
c(48,24,12)c(24,40,12)+c(24,48,12)-
s(40,48,20)s(24,24,12)+t(16,16,12)+
s(40,32,28)t(40,40,12)c(48,48,12)+*
t(16,56,12)t(32,24,20)+t(40,32,20)+
c(48,16,12)t(40,48,12)+c(24,24,20)-
c(32,24,12)t(32,40,28)+t(32,48,28)*
c(24,24,20)s(24,32,28)c(40,24,20)-*
s(32,32,28)c(32,48,12)-c(24,40,20)-
s(16,8,12)s(32,16,20)+c(24,32,12)-
s(32,40,20)t(32,48,12)t(40,24,20)+*
s(40,24,20)t(16,32,12)s(48,16,20)++
c(32,32,28)c(40,32,12)-t(32,48,28)*
t(32,56,12)c(32,24,20)t(24,16,12)-+
c(32,24,20)t(24,48,28)-s(8,32,12)+
s(40,40,20)s(40,24,12)c(24,16,12)+-
s(48,24,20)t(24,32,28)s(48,24,12)+*
t(24,32,28)c(40,24,20)t(40,32,20)--
t(16,16,12)s(40,48,20)+c(32,32,20)-
s(32,40,28)s(40,32,28)*t(24,48,28)*
s(40,24,20)s(32,16,12)t(48,16,12)+-
t(32,40,20)s(24,40,12)+t(32,40,12)-
s(8,8,12)c(32,32,12)+s(24,32,28)*
s(32,32,20)s(40,32,28)s(48,40,20)-*
s(32,32,28)s(16,32,12)-t(24,40,12)-
t(24,24,20)c(16,32,12)+t(24,40,28)*
s(24,16,20)s(32,32,12)-c(24,40,20)+
t(16,40,12)s(32,32,20)c(24,24,12)-+
c(40,24,20)c(32,40,20)s(40,40,28)**
s(32,32,20)s(24,40,28)*c(40,24,20)*
s(32,40,28)c(24,32,20)s(24,24,20)-*
s(16,16,20)s(32,16,20)s(24,40,20)--
c(40,24,20)t(32,48,20)s(24,24,28)+-
s(32,48,20)s(48,48,12)s(24,24,28)+-
t(24,24,20)s(24,40,28)s(24,32,28)**
c(24,32,12)s(40,40,28)s(32,48,12)-+
t(40,16,12)t(32,40,28)+t(32,48,20)+
c(32,24,20)s(24,48,20)-c(40,32,20)*
s(48,48,20)s(32,16,20)+s(32,24,20)-
c(24,40,20)s(40,40,28)s(24,24,28)**
s(48,24,12)c(48,16,12)+t(40,40,20)-
c(32,24,20)s(32,32,28)s(24,24,28)**
s(40,32,20)s(40,40,28)t(24,40,28)*-
t(32,48,28)t(32,40,20)s(32,48,20)*-
c(32,24,20)t(40,40,12)-s(24,32,28)*
s(32,24,28)t(40,24,20)-s(32,48,20)-
c(48,32,12)c(32,32,20)s(24,40,20)*+
s(24,8,12)c(40,24,12)+c(48,16,12)-
s(40,40,20)t(48,24,12)-s(16,32,12)+
t(32,48,12)s(32,24,28)+s(40,40,28)*
s(24,40,28)c(24,24,20)*t(24,48,20)-
s(24,32,28)s(48,48,20)-s(40,24,12)-
s(40,32,20)t(24,56,12)t(32,40,12)+-
s(16,24,20)s(32,40,28)-t(40,56,12)+
s(32,16,20)s(32,40,28)s(32,16,12)+*
c(24,32,20)s(48,24,12)s(16,48,20)+*
s(32,40,20)t(40,24,20)-s(40,40,12)-
s(24,24,28)t(16,24,12)s(16,8,12)+-
c(40,32,20)s(48,48,20)t(48,32,12)-+
c(40,24,20)t(40,24,20)-s(32,16,20)-
c(32,24,20)s(48,48,20)-s(32,40,28)-
s(24,40,20)c(24,24,20)t(24,40,28)*-
t(24,24,20)s(24,32,20)+t(24,32,12)-
t(24,40,12)s(8,24,12)s(16,32,12)++
t(24,40,28)s(40,24,28)t(48,16,12)-*
s(40,32,28)s(48,32,12)s(48,48,12)+*
c(24,32,20)t(40,32,20)s(32,48,12)--
c(32,40,20)t(16,24,12)+s(40,32,12)-
s(40,40,20)c(32,32,28)s(16,40,20)*-
s(24,40,28)t(16,48,12)-s(24,40,20)*
s(24,48,20)t(40,32,12)+c(32,32,12)+
c(24,32,20)c(32,24,20)*c(32,40,20)*
s(40,40,28)c(24,32,20)s(32,32,20)*-
t(24,40,20)c(40,16,12)+s(16,40,20)*
t(32,32,20)t(24,40,28)c(32,24,20)*+
s(24,32,28)s(48,16,20)c(32,24,20)*-
c(16,48,12)c(48,40,12)t(24,32,20)++
t(24,48,28)s(32,40,12)-t(24,40,28)*
s(48,24,20)s(24,32,12)+t(24,32,28)*
s(32,24,20)t(24,48,28)-s(48,24,20)*
c(32,40,20)s(24,24,12)-c(24,40,12)-
t(48,40,12)s(32,32,20)+s(24,40,28)*
s(24,32,20)t(24,24,20)+s(24,40,12)-
s(16,40,20)t(16,48,12)-t(24,24,12)-
c(24,24,12)s(32,40,20)+s(40,40,28)*
t(24,40,20)c(40,32,20)s(32,24,28)+*
c(24,24,12)s(40,40,12)+c(32,24,20)*
s(8,24,12)t(32,40,28)c(32,24,20)*+
s(24,16,12)t(32,48,28)s(48,48,20)*+
s(40,40,20)s(40,48,20)t(32,48,28)**
c(32,32,28)s(40,48,20)-c(40,24,20)*
t(32,40,28)c(24,32,20)t(24,32,12)-*
t(32,32,28)s(24,48,12)-c(40,24,20)*
s(32,32,20)c(40,32,12)c(24,40,12)+*
s(16,16,20)s(32,8,12)s(16,40,12)++
s(32,24,28)s(48,16,12)-s(24,40,12)-
s(24,40,20)s(40,24,20)-t(24,48,28)*
t(32,32,20)c(24,32,20)s(48,48,20)-*
s(32,32,20)s(32,48,20)-s(16,16,12)-
s(16,40,20)c(16,24,12)-s(32,24,12)+
s(32,40,28)s(24,24,20)s(24,40,28)*-
s(40,24,28)s(40,48,12)+t(32,32,28)-
c(32,40,20)s(48,16,12)s(24,24,28)+-
t(24,48,28)s(32,32,28)*t(24,32,28)+
s(32,24,28)s(32,40,28)t(16,16,12)+-
c(40,24,20)c(24,40,20)-c(48,48,12)+
c(32,32,28)s(24,40,28)s(24,24,28)-*
c(16,16,12)s(40,24,28)s(24,32,20)-+
s(24,40,20)s(32,40,28)s(32,24,20)-*
c(32,32,20)s(8,8,12)c(24,24,20)+*
c(24,40,20)s(24,32,28)c(32,32,20)**
s(48,24,12)s(32,32,12)+c(32,32,12)+
s(24,32,28)c(40,24,12)-s(32,24,20)*
c(32,40,12)s(40,16,20)+t(24,24,20)-
t(48,32,12)c(32,24,20)c(32,40,20)-+
s(32,40,28)s(16,40,20)t(24,56,12)+*
s(48,8,12)c(32,24,20)+s(24,40,28)+
s(16,48,20)t(24,40,28)s(48,32,20)+*
t(16,16,12)s(48,16,20)+s(32,40,28)-
t(32,48,28)t(32,40,28)t(32,48,12)-*
s(40,48,20)c(32,48,12)-s(24,16,20)+
s(32,32,28)c(32,48,12)-s(24,32,20)*
s(40,40,20)s(24,32,28)c(32,16,12)--
s(24,40,28)s(40,16,20)c(32,32,28)*-
c(32,32,20)c(48,16,12)-s(16,48,20)+
c(24,24,20)c(32,48,12)s(40,24,20)+*
c(32,32,28)s(48,40,20)*c(40,32,12)-
c(24,32,20)t(24,40,28)*s(40,48,20)-
s(16,24,20)s(32,24,20)s(32,32,20)*-
t(32,40,28)c(48,40,12)-t(24,40,28)*
c(40,32,20)s(40,24,20)s(16,24,20)-*
s(48,32,20)c(40,32,20)c(40,48,12)-*
s(48,32,20)t(48,24,12)-s(40,24,28)*
s(24,24,12)s(24,48,20)c(32,32,12)-+
s(24,40,12)t(48,24,12)c(16,40,12)++
c(40,40,20)s(32,16,20)+s(40,32,28)-
t(32,32,20)s(40,24,28)c(24,24,20)**
s(32,40,20)c(32,32,20)*t(32,40,20)*
s(24,40,20)c(24,24,20)c(40,40,12)-*
s(32,24,20)s(32,16,20)*s(32,32,20)*
t(40,40,20)s(48,40,20)+s(32,32,28)*
s(24,40,28)s(32,32,28)*s(24,32,20)*
t(40,48,20)s(32,48,20)s(40,48,20)**
s(40,40,12)s(24,16,12)s(40,8,12)++
s(32,40,28)s(24,40,28)*s(40,48,20)*
s(16,40,12)c(24,16,12)t(16,16,12)++
t(32,32,28)s(32,24,28)s(40,40,28)**
s(40,24,28)s(32,24,28)s(32,40,28)*-
s(24,24,28)t(24,40,28)-c(48,16,12)-
s(40,40,28)s(24,24,20)-s(24,24,28)-
t(24,40,20)c(32,32,28)c(40,48,12)-*
s(32,32,20)t(32,48,20)-t(24,32,12)-
s(32,24,28)s(24,48,20)-s(40,24,28)*
t(32,32,28)s(32,40,28)*t(32,40,12)-
c(32,32,28)t(40,24,20)-s(24,48,12)-
s(40,40,20)s(40,48,12)-s(24,40,12)+
s(8,40,12)c(24,32,12)+t(24,32,20)*
c(24,32,20)c(48,32,12)s(32,40,20)+-
c(40,40,20)s(40,32,20)s(24,48,20)-*
c(32,40,20)c(40,32,20)+t(24,40,12)-
c(24,24,20)c(24,32,20)*s(32,24,20)*
s(32,32,28)c(24,16,12)s(24,48,20)+-
t(32,40,28)s(32,16,20)-c(40,24,20)-
s(16,24,20)c(32,32,28)s(32,16,20)*-
s(24,24,28)c(40,24,20)t(32,16,12)-*
s(24,40,20)s(40,24,20)c(48,40,12)-+
c(24,32,20)s(40,40,20)s(40,24,28)*-
c(24,32,20)t(32,32,28)*c(24,16,12)-
s(24,32,12)s(24,48,20)+s(24,40,20)*
c(32,32,28)s(40,40,28)t(24,48,28)*-
c(24,24,20)s(8,16,12)-s(24,24,12)-
s(40,40,28)t(32,32,28)c(48,24,12)+*
t(32,40,28)t(24,40,20)*s(48,8,12)+
s(40,40,20)c(32,32,20)s(32,24,28)**
s(32,48,20)t(32,32,20)-c(16,48,12)-
s(16,16,20)s(32,24,20)-t(24,24,20)-
t(32,32,20)s(32,32,20)t(24,32,28)**
s(16,24,20)c(16,24,12)t(16,40,12)+*
s(40,32,28)s(40,40,28)s(32,48,20)**
s(24,32,28)s(48,48,20)+c(24,32,20)-
s(16,16,20)s(24,16,12)-s(24,48,20)+
t(24,40,28)t(40,40,12)s(32,16,12)+-
c(24,24,20)s(16,8,12)-s(32,32,28)*
s(32,48,20)s(24,40,20)*s(16,40,20)+
t(40,16,12)t(24,40,28)+s(48,48,20)-
s(24,40,28)s(32,40,28)*c(16,32,12)-
s(16,40,20)s(16,16,20)s(32,16,12)--
s(32,24,20)s(40,16,20)c(32,32,28)**
s(48,32,12)t(24,48,12)+t(16,48,12)-
s(24,24,20)s(16,32,20)s(24,24,28)**
s(16,48,20)c(40,16,12)+c(32,32,28)*
c(24,32,20)s(32,24,20)+s(32,40,12)-
s(32,40,28)s(32,24,20)*c(32,16,12)-
t(24,24,20)t(32,32,20)c(24,16,12)--
s(40,48,12)s(40,16,20)+s(48,32,20)*
s(40,16,20)s(40,32,20)c(32,32,20)*-
s(40,24,20)s(16,16,20)-s(48,48,20)-
s(8,16,12)s(24,40,20)+c(40,40,20)-
c(32,24,20)c(32,32,20)*s(24,24,12)-
s(32,40,20)c(40,32,20)*t(24,56,12)+
s(40,24,28)s(32,40,20)*s(32,16,12)+
s(40,48,20)s(40,40,28)s(48,48,12)-*
s(32,32,28)s(32,24,28)*c(40,32,20)*
s(24,48,20)t(40,16,12)+t(32,48,20)-
s(48,40,20)s(48,16,20)s(40,16,20)*-
t(32,32,28)s(40,40,28)c(48,40,12)--
s(40,16,20)s(32,16,12)-s(48,16,20)*
c(32,24,20)s(40,32,20)-t(24,24,12)-
c(24,24,20)t(32,56,12)s(24,16,20)+*
s(40,24,20)s(24,24,20)t(32,16,12)--
c(32,32,28)c(16,24,12)-t(24,48,20)*
c(16,40,12)t(32,32,28)+t(24,32,20)-
s(24,24,28)t(40,16,12)-t(32,32,20)*
s(24,40,20)s(32,32,28)*s(32,48,12)-
c(32,32,20)s(40,24,20)-s(40,48,12)-
c(24,32,20)s(16,16,20)t(48,40,12)+*
c(24,40,20)c(40,32,20)*t(32,40,20)*
s(40,24,28)t(32,32,28)*t(40,32,20)*
s(40,24,28)t(32,40,28)c(24,40,20)**
c(32,32,28)c(16,32,12)-c(24,32,12)+
c(32,32,20)s(32,24,12)c(24,48,12)+-
c(40,32,20)s(40,16,20)-s(32,40,20)*
t(24,32,28)t(24,40,28)s(32,32,28)**
c(24,40,20)c(24,32,12)-s(24,32,28)*
s(32,24,28)s(32,40,28)s(16,32,20)**
s(48,48,20)c(32,24,12)s(32,48,12)+-
t(32,40,20)s(24,40,20)+s(32,40,20)*
c(40,32,20)s(48,16,12)-t(40,48,20)-
c(40,24,20)c(24,16,12)t(32,32,20)+*
s(32,32,28)s(40,24,28)s(40,32,28)**
s(32,48,20)c(16,16,12)c(40,32,20)+*
t(32,40,28)t(24,48,28)s(40,32,20)-*
s(40,16,20)s(40,24,20)t(48,32,12)-*
s(32,16,20)c(24,32,20)*c(16,24,12)+
s(40,32,20)s(32,32,20)*t(32,32,20)*
s(24,32,28)s(40,32,28)s(32,40,28)**
s(16,48,20)s(16,8,12)s(24,40,20)+*
c(40,32,20)c(32,40,20)t(32,32,28)**
s(40,24,12)s(40,40,12)+t(40,32,20)*
t(32,40,28)s(40,40,28)t(24,32,28)+*
c(24,40,20)c(16,24,12)-c(40,40,20)*
s(40,48,20)t(40,48,12)-s(48,32,12)-
s(16,24,20)s(16,16,12)s(16,32,12)+*
c(32,32,28)s(40,24,28)t(24,48,28)-*
s(32,40,20)t(40,56,12)t(40,40,20)+*
c(32,24,20)t(32,40,28)*t(48,32,12)-
s(40,32,28)s(24,24,28)*t(24,40,28)*
t(32,32,20)s(48,32,20)s(32,40,12)--
c(32,32,20)c(24,32,20)*c(16,32,12)-
s(40,32,28)s(40,40,28)*c(24,24,20)-
s(16,32,20)c(32,24,20)+s(40,32,28)*
t(32,48,28)s(8,40,12)+s(24,40,28)*
s(32,32,28)c(40,24,20)*c(24,24,20)*
t(32,40,20)t(32,24,20)s(32,40,28)*-
s(24,16,20)s(24,40,28)c(24,24,20)+*
s(40,24,20)c(40,48,12)s(48,24,20)++
s(32,48,20)s(24,48,20)*t(40,32,12)+
s(24,40,28)s(32,32,28)t(32,48,28)-*
s(48,24,20)t(24,32,28)+s(32,24,28)*
c(32,24,12)s(24,16,20)+s(24,8,12)-
s(48,24,20)s(40,32,28)s(40,16,20)*-
t(24,40,20)t(32,32,28)c(24,24,20)+*
s(32,40,28)s(40,32,20)*t(40,32,12)-
s(40,40,28)c(32,32,12)-c(48,48,12)-
s(32,32,20)c(24,32,20)*c(48,24,12)-
s(24,32,20)s(40,24,28)*s(24,40,28)*
s(24,16,20)s(32,40,28)s(32,24,28)*-
s(32,24,28)s(16,8,12)-s(24,24,20)+
t(32,40,28)s(24,32,28)s(16,48,12)-*
t(32,40,28)s(40,32,28)s(40,40,28)**
s(24,48,20)s(40,32,20)+s(24,32,20)*
c(40,16,12)s(40,32,28)c(40,16,12)-+
s(40,32,20)s(32,32,20)c(32,48,12)-*
s(24,32,28)c(32,24,20)*s(40,24,28)*
c(16,24,12)c(16,32,12)+t(24,40,12)-
c(32,24,20)s(32,24,28)c(32,40,20)*-
c(32,32,12)s(48,40,20)+c(24,48,12)+
s(24,32,20)s(40,32,20)s(24,8,12)+*
t(32,48,28)s(16,32,20)t(24,32,28)*-
s(40,48,20)t(40,48,12)-c(48,32,12)+
s(32,24,28)s(32,24,20)c(32,32,12)--
s(40,40,28)t(48,24,12)t(24,40,28)+*
s(24,32,28)t(32,48,20)-s(40,24,28)-
s(48,32,12)t(24,32,20)+s(40,48,20)-
s(24,24,28)s(24,48,20)-c(16,32,12)-
c(48,16,12)c(40,32,12)+s(40,48,20)-
s(40,32,28)c(48,40,12)-s(32,24,12)-
s(48,32,20)t(32,40,20)t(24,32,28)*-
c(32,24,20)s(32,40,28)s(40,40,28)**
c(48,16,12)s(16,8,12)t(48,56,12)++
t(32,40,20)s(24,24,28)+s(32,24,28)-
c(32,40,20)t(32,32,28)t(32,48,20)--
c(40,32,20)s(24,32,20)s(24,40,20)*-
c(32,32,28)s(48,16,12)-t(32,48,28)+
c(16,32,12)t(32,40,28)+c(24,40,20)*
t(24,40,28)c(32,32,12)+s(40,48,20)*
t(32,40,20)c(24,24,20)+c(40,16,12)+
s(48,24,20)c(40,40,20)c(16,32,12)+*
s(16,32,20)s(40,24,28)s(32,16,12)--
s(24,32,20)s(16,16,20)s(40,32,12)+-
t(24,48,28)s(24,16,20)+s(32,40,28)*
t(32,48,28)c(40,24,20)s(40,40,20)*-
s(32,32,28)s(48,48,20)-c(32,40,20)*
s(32,32,20)c(24,32,20)*s(16,16,20)+
s(8,8,12)t(24,40,28)+t(32,40,20)*
s(48,40,20)c(40,24,20)s(24,24,12)-*
c(24,40,20)c(32,24,20)c(24,40,12)-+
s(32,40,28)c(32,32,20)*t(40,40,20)*
c(24,24,20)c(40,32,20)s(48,16,12)+*
s(40,40,28)s(24,48,20)s(24,32,20)*-
t(24,40,20)s(32,40,28)t(32,32,28)**
t(40,24,20)c(48,24,12)s(24,32,20)+*
s(32,24,20)c(24,40,20)s(32,32,28)**
t(24,48,28)s(32,40,28)*t(40,48,12)-
c(24,40,20)s(40,40,20)s(32,24,20)--
s(32,16,20)s(24,24,28)s(32,32,28)**
c(40,32,20)s(24,40,20)c(32,40,20)*-
s(40,32,28)t(24,32,28)*t(32,48,20)-
s(24,24,20)s(24,16,12)-s(16,40,12)-
t(32,40,28)t(32,32,28)s(24,40,28)*-
c(40,40,20)s(32,16,20)-t(32,40,28)*
s(24,16,20)t(40,32,20)+s(40,24,20)*
s(40,48,20)s(48,48,12)t(24,32,20)+*
t(32,48,28)c(32,32,28)+s(24,32,12)-
s(32,24,28)c(24,24,20)t(32,40,12)--
c(16,40,12)s(16,24,12)+t(16,48,12)-
t(32,32,28)s(40,40,12)-t(40,40,12)+
t(32,48,20)c(24,24,20)t(32,32,12)-+
c(40,40,12)t(24,48,20)t(32,40,28)*+
c(24,24,12)c(16,40,12)+s(24,40,20)*
c(40,32,20)c(24,40,20)t(48,16,12)+*
s(32,40,28)s(32,24,28)s(32,32,28)**
s(32,48,12)c(24,32,12)+s(24,32,20)*
c(32,32,28)s(40,48,20)*c(32,32,20)*
s(48,16,12)s(48,40,12)+s(40,8,12)-
c(32,40,12)s(32,24,28)s(32,16,12)-+
t(32,40,12)s(24,16,20)+c(24,40,12)-
c(32,32,20)t(24,32,20)s(16,48,20)+*
t(24,32,28)t(32,40,28)s(40,32,12)-*
c(32,32,20)s(48,40,20)-s(16,16,20)-
s(40,40,20)t(24,48,20)-t(32,32,12)-
t(32,40,28)s(48,40,20)c(32,40,12)--
c(24,32,20)c(24,40,20)*c(40,40,20)*
c(40,24,20)s(32,24,20)*c(24,24,20)*
t(32,32,28)s(16,32,12)+c(24,32,20)*
c(24,32,20)t(32,32,20)s(32,16,12)--
s(24,48,12)t(16,48,12)+s(32,48,20)+
s(40,32,28)s(40,40,20)t(24,40,20)-*
t(24,32,28)s(48,40,20)s(40,24,20)+*
t(32,40,28)c(16,48,12)+t(32,32,20)-
c(40,16,12)s(32,40,28)+t(40,32,12)-
t(32,40,28)s(24,40,28)c(24,24,12)-*
s(32,40,28)s(24,32,28)*t(48,16,12)+
c(32,40,20)s(32,24,28)*t(24,40,12)-
t(32,56,12)c(24,16,12)+t(40,40,12)+
c(32,40,20)c(32,24,20)s(16,16,20)-*
c(32,40,20)s(32,32,28)*s(40,48,20)*
t(32,32,28)s(32,32,12)c(32,48,12)+*
s(16,16,12)t(40,40,20)+c(40,24,12)-
s(32,32,20)s(24,48,20)t(40,48,20)+*
t(24,32,28)c(24,32,20)+c(40,40,12)+
c(32,32,20)c(32,40,20)*s(40,40,20)*
t(32,48,20)s(40,8,12)s(40,48,20)+*
c(24,24,20)s(40,40,28)+s(32,16,20)*
s(24,32,28)c(16,32,12)s(24,8,12)+*
s(40,32,20)s(16,24,20)-t(48,16,12)-
c(40,24,20)s(32,8,12)-t(32,24,20)+
s(40,48,20)s(24,24,12)+c(32,40,12)-
c(24,32,20)s(40,40,28)*s(24,32,20)*
c(40,40,12)s(48,40,20)s(32,32,28)*+
s(32,8,12)s(24,32,28)c(40,40,20)*+
s(24,32,28)s(32,16,20)*t(16,16,12)-
s(16,32,20)s(32,16,20)-c(32,48,12)+
s(40,40,28)c(24,24,20)*s(32,8,12)+
t(24,32,28)c(40,40,20)-t(24,24,12)-
s(40,32,20)c(16,24,12)+s(32,32,20)*
s(40,32,28)t(32,48,20)t(40,32,20)--
t(40,16,12)t(40,56,12)c(16,32,12)++
c(32,32,20)c(32,40,20)c(32,32,12)--
s(16,32,20)t(32,24,20)s(32,16,20)*+
s(40,40,28)t(24,48,28)s(40,24,20)+-
t(24,48,28)s(40,40,28)s(40,48,12)-*
t(32,48,28)s(24,48,20)*s(16,48,12)+
s(24,48,20)s(40,40,28)t(40,48,20)--
s(24,16,20)s(24,48,20)t(16,24,12)+-
s(32,24,20)c(32,24,20)s(24,40,28)**
c(40,40,20)c(40,32,20)s(32,16,20)-*
c(40,24,20)s(8,24,12)c(40,32,12)+*
s(24,32,28)t(40,48,20)-t(40,40,20)-
c(40,40,20)s(48,24,12)s(40,48,12)+*
c(32,32,20)t(24,48,28)c(24,24,12)+*
s(24,24,28)c(24,40,20)*s(32,40,28)*
s(40,32,20)t(24,48,20)+s(32,40,28)*
s(16,16,20)t(32,32,12)+s(24,24,28)*
t(40,40,12)s(24,32,28)s(32,48,20)*+
c(32,32,28)s(40,32,12)s(16,16,12)+*
s(24,32,20)s(40,40,28)s(24,40,28)**
s(16,48,20)t(24,40,28)s(40,24,28)*-
t(32,48,28)c(40,40,20)*c(32,32,20)*
s(24,32,20)s(32,40,12)s(32,24,20)+*
c(32,32,20)c(40,40,20)-s(16,32,20)+
t(24,40,12)c(24,24,20)s(32,32,20)-+
s(32,40,20)t(40,40,20)t(40,24,20)+*
s(40,32,20)t(24,56,12)+s(40,32,28)*
s(40,40,28)s(32,40,20)-t(48,48,12)-
c(48,48,12)t(24,40,28)+s(24,32,20)*
s(8,16,12)s(24,16,20)+s(24,32,28)*
c(16,24,12)c(32,32,20)s(40,40,20)*+
s(24,48,20)s(32,24,28)-c(32,32,28)*
s(40,40,28)t(40,16,12)t(24,48,12)+-
s(48,48,20)c(32,24,20)c(24,40,20)*-
c(32,32,20)t(32,48,20)t(40,48,20)++
s(24,24,28)s(48,32,12)c(24,24,12)+*
c(24,32,20)t(32,32,28)*s(32,32,12)-
s(48,16,20)s(32,48,20)c(32,24,20)-+
t(32,32,20)s(40,48,12)t(24,16,12)+-
s(16,48,20)c(24,40,20)t(48,56,12)+*
c(32,32,20)s(32,24,28)*t(48,40,12)-
c(48,24,12)t(16,16,12)+s(16,8,12)-
s(24,32,28)s(24,40,20)t(24,24,20)-*
c(32,32,20)t(32,24,12)-s(40,40,28)*
s(40,32,28)t(32,48,20)c(48,32,12)+*
c(24,40,12)s(48,32,20)+c(16,48,12)-
t(16,48,12)s(40,40,20)s(32,48,20)*+
t(24,48,20)c(32,40,20)s(32,24,20)*-
c(24,24,20)t(32,32,28)*s(32,16,20)*
t(32,48,28)s(32,32,28)c(48,48,12)-*
s(48,32,20)s(40,32,12)-s(40,48,12)-
c(40,32,20)c(24,24,20)*s(48,48,12)+
c(32,24,20)c(48,24,12)s(16,48,20)+-
s(32,40,20)s(16,16,20)s(16,32,12)-+
c(40,32,20)s(32,32,28)c(24,32,12)--
s(40,24,28)c(16,16,12)t(24,24,20)+-
s(32,24,28)s(48,32,12)-s(24,24,20)-
c(24,40,20)c(32,24,12)-s(24,40,20)*
s(8,8,12)s(24,32,20)c(32,48,12)++
t(24,48,28)s(40,32,20)-s(24,24,20)-
s(32,40,28)s(24,32,28)*s(32,40,20)*
s(32,8,12)s(32,40,28)+s(40,40,28)*
s(32,24,28)s(32,24,12)-s(32,16,20)*
s(24,24,20)s(40,32,20)s(16,16,12)+*
c(40,40,20)s(32,40,20)*s(40,40,20)*
c(32,32,20)c(32,24,20)*c(24,24,20)*
t(24,32,28)c(24,40,20)t(24,40,28)**
s(32,32,28)c(24,32,20)*s(40,40,12)-
t(48,40,12)t(40,32,20)+s(40,40,20)*
t(24,32,20)c(24,24,12)+s(24,40,28)*
s(40,32,28)s(32,16,20)-s(24,40,12)-
c(24,32,20)s(48,40,20)+s(32,16,20)*
s(16,32,20)c(24,24,20)*c(32,24,20)+
c(40,32,20)c(24,32,20)-c(40,24,20)*
s(32,24,28)s(24,40,20)s(32,24,20)+-
s(32,48,20)c(40,24,20)s(32,32,28)*-
s(40,32,20)s(16,24,20)-t(24,32,20)-
s(32,40,28)t(32,32,12)-c(32,32,12)-
s(32,24,28)c(24,24,12)-c(24,40,20)+
s(40,16,20)t(24,40,20)s(40,48,20)++
s(32,40,20)s(48,48,12)-c(24,32,20)*
c(32,40,20)t(32,40,20)s(16,8,12)+*
s(16,32,20)t(32,40,28)-t(16,32,12)-
s(24,16,20)s(32,32,28)t(40,40,20)-+
c(32,24,20)s(16,8,12)s(24,24,20)+*
s(24,40,20)s(40,32,20)s(8,48,12)+*
t(16,24,12)s(48,32,20)+s(32,32,28)*
t(24,48,28)t(24,40,28)s(32,24,20)-*
s(24,16,20)s(24,24,12)s(16,8,12)+*
t(32,32,20)s(40,40,28)*t(24,32,20)+
t(24,40,28)c(24,32,20)*t(32,24,12)-
s(16,32,20)t(16,32,12)-c(40,48,12)+
s(32,16,20)s(48,32,20)+s(24,24,20)+
c(24,24,20)c(24,24,12)-s(24,32,28)*
s(24,32,28)c(40,40,20)t(32,48,28)*-
s(40,32,20)s(16,48,12)c(40,16,12)+-
t(24,48,28)s(40,24,28)s(24,24,12)--
s(24,32,28)s(24,32,20)s(32,32,20)*-
s(40,24,28)c(32,32,20)c(24,24,20)**
s(32,24,28)s(16,40,20)-c(48,40,12)-
s(32,48,20)t(24,32,28)c(40,32,12)--
s(32,40,28)c(24,24,20)*s(24,24,20)*
t(24,40,28)s(32,24,20)c(48,16,12)--
t(24,32,28)s(24,32,28)s(24,48,12)-*
s(32,32,20)s(24,24,28)*s(24,48,20)-
s(40,16,20)s(24,24,28)s(32,32,28)*-
c(24,32,20)t(40,24,20)+s(32,16,12)-
c(32,40,20)s(24,32,12)-c(24,40,12)-
s(40,40,20)s(40,32,20)*c(16,24,12)+
c(24,32,12)s(24,48,20)+t(40,24,20)-
s(40,32,28)t(16,16,12)s(48,48,20)++
c(40,40,20)c(24,40,20)s(32,32,28)**
c(40,32,20)s(24,32,20)t(24,40,20)*+
c(40,40,20)t(32,32,12)-t(40,48,20)*
c(24,40,20)t(32,40,28)c(16,40,12)-*
c(32,40,20)t(40,24,12)-s(40,32,20)-
s(32,24,28)c(32,32,28)s(32,40,12)-*
s(40,24,20)c(24,32,20)s(32,32,28)*-
c(32,32,20)s(48,24,20)+s(16,40,20)*
s(40,24,28)s(16,40,20)s(32,40,28)*-
s(40,40,28)s(24,48,20)-c(32,40,12)+
t(16,32,12)s(16,16,20)+t(24,32,28)*
s(24,24,28)s(32,32,28)*s(48,48,12)+
s(40,40,28)c(24,40,20)*s(16,40,12)-
s(40,32,28)s(16,48,20)-t(40,16,12)-
c(32,40,20)t(48,40,12)-s(24,32,28)*
s(24,24,28)c(32,24,20)-t(32,40,28)+
s(40,8,12)s(16,24,20)+s(40,40,20)+
s(16,40,20)c(24,40,20)c(40,32,20)+*
c(32,32,28)s(16,40,20)s(40,24,12)+*
s(8,48,12)s(48,16,12)+c(24,32,20)-
s(32,8,12)t(32,32,20)c(40,24,20)*+
c(48,32,12)c(16,24,12)+s(24,40,28)*
s(32,24,28)c(48,32,12)-c(24,32,12)-
s(32,40,20)s(24,32,20)+s(40,32,28)*
c(40,32,12)t(24,40,12)+t(32,32,20)*
s(32,24,28)c(32,32,20)s(24,24,12)-*
s(32,16,20)t(32,48,28)t(16,24,12)+-
c(32,32,28)t(32,16,12)s(16,16,20)+-
c(40,24,20)c(32,40,20)s(24,40,28)**
s(24,24,28)t(24,32,28)c(40,24,12)--
s(40,24,28)s(24,48,12)+s(32,48,20)*
s(40,16,20)s(32,16,20)+s(40,16,12)-
s(24,48,20)s(32,40,12)-c(32,32,28)*
s(48,24,20)c(40,32,20)s(40,16,12)-*
s(48,48,12)s(32,40,20)+t(24,48,28)*
s(16,40,20)c(40,24,12)+s(16,32,20)+
s(32,40,28)t(32,32,28)s(48,16,20)--
s(24,40,20)s(32,32,20)s(32,40,20)*-
t(24,40,28)s(32,40,28)*c(32,48,12)-
t(24,48,28)s(40,40,28)*c(24,24,20)+
s(32,32,20)t(32,40,28)t(32,48,20)*-
t(32,48,20)c(16,24,12)+s(24,24,28)*
c(32,32,28)s(16,16,12)-c(40,40,12)-
s(40,24,20)c(32,32,20)s(16,48,20)-*
t(24,48,28)s(40,24,12)+t(32,48,28)-
s(40,32,20)c(32,24,20)s(40,24,28)**
c(32,40,20)c(16,40,12)-t(40,32,20)*
c(32,32,28)s(40,16,20)-s(16,40,20)-
c(32,40,20)s(24,24,20)s(24,40,20)*-
s(32,32,20)c(32,32,20)c(32,24,20)**
s(32,24,28)s(24,32,20)s(8,32,12)-*
s(40,24,28)s(32,16,20)t(40,40,20)+*
t(40,32,20)c(48,16,12)+c(32,32,12)+
c(40,32,20)s(48,40,12)t(48,24,12)+-
s(40,24,28)s(40,32,28)s(32,16,20)-*
s(32,32,28)s(40,40,28)*t(40,32,20)*
c(40,32,20)t(48,48,12)-s(24,48,20)-
s(16,16,20)s(32,24,28)s(24,32,20)+*
t(40,24,20)s(16,40,20)+s(32,32,28)*
c(40,32,20)t(32,48,20)-s(32,8,12)+
s(16,40,20)s(24,40,20)t(32,48,20)+*
t(32,32,12)s(16,48,12)+t(24,40,12)-
s(48,32,20)s(40,40,28)t(24,48,28)+*
c(40,32,20)s(48,40,20)c(40,40,20)*-
s(40,40,28)s(48,48,12)-s(48,24,20)*
s(24,32,28)s(40,32,28)s(32,40,12)-*
c(40,32,20)c(32,32,20)*c(40,48,12)-
s(32,32,28)t(32,24,20)-t(24,48,12)-
s(32,40,20)s(40,40,28)s(24,24,28)**
c(40,32,12)s(48,8,12)+t(24,24,20)-
c(24,24,20)s(32,40,28)*s(16,32,20)*
c(48,24,12)s(32,32,20)c(32,16,12)-+
c(32,40,20)c(40,40,12)s(24,16,12)+*
s(32,16,20)t(32,40,12)+t(24,48,12)+
c(40,40,20)c(48,24,12)-s(48,16,20)+
s(40,40,28)s(40,32,28)*s(32,32,12)-
s(32,24,20)s(24,24,20)*s(32,32,20)*
c(32,40,20)s(24,32,28)*t(40,24,12)-
s(32,8,12)t(32,40,20)s(48,8,12)++
t(16,32,12)s(24,16,20)+s(16,24,20)-
s(32,32,20)s(24,24,28)*s(32,24,12)-
s(48,32,20)c(40,32,20)c(24,16,12)-*
s(40,24,28)s(24,32,28)*s(16,16,20)-
s(32,24,28)c(48,48,12)+t(24,16,12)-
t(24,32,28)c(24,24,20)c(24,32,20)**
t(24,32,28)c(32,40,12)s(16,32,12)+*
s(40,16,20)c(40,24,20)s(48,24,20)**
t(32,48,28)c(24,32,20)+s(48,24,20)-
s(40,32,28)s(48,40,20)c(32,32,12)--
s(16,16,12)c(16,40,12)+s(16,32,20)*
t(24,32,28)s(48,24,20)c(32,32,28)*-
s(16,16,20)c(32,32,20)-s(24,24,28)*
s(16,24,20)s(32,40,28)s(40,16,20)+*
t(24,40,28)s(40,40,20)s(24,16,12)+*
s(24,40,20)s(40,32,20)s(24,32,12)--
s(24,32,28)c(24,24,20)s(16,24,12)-*
s(24,24,20)s(24,40,28)t(40,32,12)-*
t(24,32,28)t(24,40,28)*s(16,24,12)-
c(40,24,12)s(48,16,12)+s(48,40,12)+
s(48,24,20)t(24,32,28)s(32,40,20)*-
s(40,24,28)c(32,40,20)-s(48,32,12)-
s(48,40,12)t(24,16,12)+s(16,24,12)-
t(24,24,20)c(16,16,12)+c(24,48,12)+
t(40,48,20)c(40,16,12)+s(40,24,20)*
s(48,32,20)t(40,24,12)-s(32,40,12)-
s(48,16,20)c(40,24,20)c(24,40,20)-*
s(40,24,20)t(40,40,20)-c(32,32,20)*
s(40,32,28)s(32,48,12)-s(48,48,20)-
t(32,40,28)s(32,24,12)-s(24,48,20)*
t(40,24,20)s(48,48,20)+s(40,32,28)*
s(24,32,28)t(24,48,28)s(8,48,12)-*
s(48,40,20)c(32,32,28)*t(24,40,28)-
s(24,40,28)s(8,48,12)-s(32,32,28)*
c(16,16,12)t(40,48,20)c(24,32,12)++
s(24,24,20)s(40,32,20)t(32,32,28)+*
t(32,48,28)s(40,32,28)*s(32,32,20)*
s(24,24,28)t(32,16,12)-t(32,40,20)-
c(32,32,20)s(24,24,12)-s(24,48,20)*
s(24,24,20)c(24,24,12)-s(32,48,12)+
t(40,32,20)s(48,32,20)*t(32,48,20)+
s(48,40,20)s(48,48,20)t(48,16,12)+*
s(40,40,28)c(32,40,20)*s(40,8,12)+
t(40,16,12)s(32,48,20)c(32,32,20)*+
s(40,24,28)s(32,32,28)t(32,40,28)*-
s(32,24,28)c(40,40,20)s(24,24,20)-+
c(32,32,28)s(40,16,20)*s(24,24,12)-
s(32,40,28)s(16,16,20)-s(40,16,12)+
t(40,40,20)t(40,48,12)c(24,32,20)+*
s(32,24,28)s(16,16,12)-s(40,8,12)-
s(32,40,20)c(24,40,20)c(32,24,12)-*
c(24,40,20)t(24,32,12)-s(32,24,20)-
t(40,24,12)s(48,40,20)s(48,24,20)-+
s(48,16,20)s(40,32,28)*s(24,32,20)-
s(32,40,20)s(40,32,28)t(32,24,12)-*
s(24,48,20)s(24,24,20)c(40,40,20)+*
t(24,48,28)t(40,16,12)c(24,40,12)+*
c(24,32,20)s(48,40,20)-c(16,16,12)+
t(24,48,28)s(8,16,12)+t(24,40,28)*
c(40,40,20)c(32,24,20)s(40,24,12)-+
s(24,32,28)t(32,48,28)c(40,40,20)**
t(24,40,28)s(32,48,20)*s(32,32,12)+
s(32,32,28)c(32,48,12)-s(24,48,20)+
s(32,40,28)s(24,24,28)*s(32,48,12)+
s(40,40,28)c(40,24,20)c(32,40,12)+*
c(16,48,12)t(16,32,12)+s(40,40,28)-
s(40,32,28)c(40,32,12)s(40,48,20)+*
s(40,8,12)s(40,32,20)+t(40,40,20)-
s(40,24,20)c(32,40,20)c(24,48,12)--
t(40,48,20)s(32,24,20)s(32,48,20)+*
c(32,32,20)s(40,40,28)*s(40,24,28)*
s(24,24,28)c(24,32,20)t(32,40,20)--
s(32,32,28)c(24,16,12)c(40,24,20)+*
s(24,48,20)c(32,24,20)c(40,24,20)*-
s(32,32,20)s(48,24,20)-s(16,32,12)-
s(32,32,20)s(16,24,12)-s(24,32,12)-
t(32,40,28)s(24,24,20)s(8,48,12)+*
s(40,48,20)t(32,48,12)-c(32,32,28)*
c(32,24,20)s(32,40,20)*t(40,24,12)-
t(48,24,12)t(32,48,28)+t(32,40,28)-
s(24,32,28)t(32,40,20)s(48,32,20)++
t(24,32,28)s(40,40,28)+s(40,24,20)-
c(24,32,12)s(24,8,12)+s(40,48,20)+
s(16,32,20)c(24,40,12)+s(40,48,20)-
s(40,40,28)c(32,40,20)*c(40,24,20)*
c(32,32,20)s(32,32,28)s(48,16,20)-*
s(16,24,20)c(32,32,28)*s(32,24,12)-
t(24,40,28)t(24,40,20)c(48,24,12)+-
c(40,24,20)c(48,32,12)-s(32,40,20)-
s(32,32,20)s(48,32,20)*s(24,24,12)+
s(32,16,20)s(24,24,28)s(24,32,20)-*
s(32,16,20)c(24,24,20)*t(40,40,12)+
s(40,16,20)s(32,32,20)+t(40,32,12)-
c(32,32,28)t(40,40,20)c(40,24,12)--
c(24,32,20)t(24,32,28)*s(40,16,20)-
s(32,16,20)s(32,24,20)t(48,56,12)+*
t(32,32,28)c(24,24,20)s(16,24,12)-*
s(40,48,20)t(24,40,28)s(48,48,12)+*
c(40,40,20)s(40,40,20)c(40,48,12)--
s(48,16,20)t(48,56,12)+s(40,16,20)-
t(24,48,28)s(32,16,12)+t(32,40,28)-
s(32,24,28)c(24,32,12)c(40,32,20)+*
c(24,40,20)t(32,32,28)t(24,40,20)*-
s(32,8,12)c(32,32,20)t(40,48,12)-+
c(40,32,20)t(48,40,12)-c(32,40,20)*
s(32,32,28)c(24,24,20)*c(32,32,12)-
c(40,24,20)t(40,24,20)-s(16,24,20)-
t(48,24,12)t(24,48,28)s(32,32,28)-+
c(40,24,20)t(40,32,12)-s(40,32,12)-
t(40,48,20)t(24,40,20)c(32,32,20)*+
s(32,48,20)c(24,40,12)-c(24,48,12)-
t(40,32,20)s(16,48,20)c(32,48,12)-+
c(32,24,20)c(48,32,12)+s(40,40,20)-
s(32,40,20)s(40,24,28)*c(40,48,12)-
s(40,32,20)s(32,32,20)*s(40,40,20)*
s(32,24,28)t(32,40,28)*t(32,16,12)-
c(32,24,20)c(40,16,12)c(24,40,20)++
s(24,32,20)c(24,40,20)+s(32,32,28)*
s(16,32,12)s(40,48,12)+t(24,24,20)-
c(24,40,20)t(24,48,28)s(24,24,20)+*
c(32,32,20)c(32,40,20)*s(48,48,20)-
s(24,40,12)s(48,40,20)+t(32,32,28)*
c(40,32,20)s(32,32,20)t(40,32,20)+*
s(32,32,20)t(24,32,20)*s(16,32,12)+
s(32,32,28)c(24,24,20)*s(24,16,20)*
s(40,16,20)c(24,24,20)-s(24,16,20)+
t(24,40,28)c(40,32,20)t(24,32,28)*-
s(40,24,28)s(16,48,12)+t(40,32,12)-
c(24,32,20)s(32,40,28)s(40,40,28)+*
s(40,48,20)s(16,48,20)-c(40,40,20)*
s(48,48,12)c(40,48,12)+c(32,32,12)-
s(8,16,12)t(40,40,12)+t(40,48,12)-
t(32,32,28)s(32,32,28)s(24,32,28)**
t(24,40,28)s(32,48,20)s(40,32,28)**
t(40,40,20)t(24,32,20)+s(48,48,20)-
s(40,32,28)c(24,24,12)-s(24,40,28)-
s(32,24,28)t(48,24,12)-t(32,16,12)-
s(32,32,28)s(24,16,20)s(32,24,28)*-
s(40,16,20)t(24,24,12)-s(16,16,20)+
s(16,32,20)c(24,32,20)s(40,24,28)+*
t(24,48,28)s(32,32,28)*t(24,24,12)-
s(48,40,20)t(40,40,12)c(48,32,12)+*
c(24,32,20)s(24,40,20)*c(32,48,12)-
s(40,16,20)c(40,24,20)s(48,32,20)-*
t(24,32,20)s(48,40,12)s(16,16,12)+-
t(48,56,12)c(40,32,20)+s(40,48,20)-
c(40,40,20)t(24,40,28)t(24,48,20)*-
s(32,32,20)s(24,32,20)*t(32,32,20)*
s(24,24,12)s(40,16,20)+c(24,32,20)-
s(24,16,12)t(32,48,28)c(32,32,28)*+
t(24,32,28)s(32,32,20)*s(24,24,28)*
c(24,40,20)c(40,40,12)s(40,24,20)+-
t(24,32,28)c(40,32,20)-t(24,40,12)-
c(32,16,12)c(32,32,20)t(40,40,20)-+
t(32,40,28)t(32,48,28)*t(32,24,12)-
s(32,32,20)c(24,24,20)c(24,32,20)**
t(24,16,12)c(40,40,20)t(32,32,20)*+
s(40,32,28)t(24,32,28)*s(24,40,28)*
s(32,40,20)s(40,40,28)t(24,32,28)**
s(40,24,28)c(32,24,20)s(24,32,20)**
c(16,48,12)s(8,24,12)s(48,48,20)++
c(32,40,20)t(40,32,12)-t(24,32,20)-
s(32,32,20)s(32,40,20)t(32,24,12)+*
t(32,24,20)s(40,40,12)-s(24,24,12)+
c(24,24,20)s(32,16,20)*c(24,40,20)-
c(48,48,12)t(40,48,20)+s(40,40,20)*
t(24,40,12)c(24,40,20)c(32,24,20)-+
s(24,40,28)c(32,32,28)*t(16,48,12)-
s(48,48,20)t(32,48,28)t(24,40,20)--
s(24,40,28)t(16,32,12)t(48,48,12)+-
s(32,24,28)c(40,32,12)s(24,40,12)+-
s(24,32,28)s(24,24,28)s(32,16,20)*-
s(24,40,28)s(16,24,12)-s(48,48,20)+
s(48,48,20)s(40,32,28)t(48,16,12)-*
t(40,16,12)t(16,32,12)+c(32,16,12)+
s(48,40,20)s(40,32,20)t(16,48,12)+-
s(32,40,20)t(48,16,12)+s(32,40,28)*
c(24,32,20)t(24,32,20)-s(48,24,20)-
s(48,40,12)t(24,40,20)s(48,48,20)-+
t(24,40,20)t(24,48,28)t(32,48,12)-*
s(16,40,20)c(48,32,12)+s(24,48,20)*
t(24,40,12)t(40,48,12)+c(24,16,12)+
t(48,16,12)s(24,48,20)s(16,48,20)*+
t(24,40,28)t(24,48,28)s(32,24,20)--
c(32,40,20)t(24,48,20)-t(24,40,20)-
s(40,24,20)s(40,16,12)-c(48,16,12)-
c(32,32,20)c(24,16,12)-s(40,32,20)*
s(24,16,20)s(40,32,20)+t(24,40,28)*
s(40,24,20)s(24,16,12)-s(40,32,20)*
c(24,32,20)s(48,16,20)+s(8,32,12)-
s(48,48,20)s(40,40,20)s(40,24,12)-+
s(40,40,28)s(16,32,12)c(40,48,12)+*
t(24,48,28)s(8,32,12)+t(24,40,12)-
s(48,40,12)c(24,24,20)+c(40,32,20)*
s(24,48,20)s(24,32,28)*s(40,32,12)+
s(48,48,20)t(16,40,12)+s(40,32,28)*
s(32,16,20)c(32,24,20)t(40,40,20)+*
t(32,32,28)s(40,32,28)*t(32,24,20)*
s(32,48,20)c(16,48,12)-s(48,24,12)+
s(24,32,28)s(24,40,28)*s(24,48,12)-
s(40,24,20)s(48,48,20)-t(24,16,12)+
t(40,24,12)c(24,32,12)+c(48,24,12)-
t(24,24,20)s(32,40,28)t(24,32,12)-+
c(40,32,20)c(40,32,20)c(32,24,20)*-
t(32,40,28)s(32,16,20)c(24,40,20)-+
s(24,40,12)t(40,24,20)c(24,32,12)++
s(16,32,20)s(24,24,28)*s(32,40,12)-
s(16,40,20)s(16,48,20)*c(24,24,20)-
c(16,24,12)s(32,24,20)c(24,40,20)*+
s(32,40,20)s(48,24,20)-t(40,48,20)+
s(24,40,28)c(32,32,20)c(40,24,20)**
s(40,32,28)s(32,16,12)-s(24,32,20)*
t(40,56,12)s(32,40,12)+s(40,40,28)*
c(40,24,20)s(24,16,20)t(24,40,28)+-
t(32,40,20)s(40,32,20)t(24,48,12)+*
c(24,40,20)c(32,32,20)*t(32,48,28)*
s(48,40,20)s(48,24,20)c(40,16,12)+*
t(32,40,20)s(16,24,12)+s(32,24,12)-
c(32,32,28)s(32,24,20)-t(40,32,20)-
t(32,32,28)t(32,48,20)c(48,48,12)--
t(24,40,28)s(16,16,20)s(16,32,20)+*
s(16,24,12)t(32,40,20)c(48,40,12)-+
c(40,24,20)c(24,24,12)-s(48,32,12)-
s(48,16,20)t(16,48,12)+c(32,32,28)*
c(32,40,20)c(24,32,12)-s(16,40,20)-
s(24,32,20)c(32,24,20)s(40,32,28)**
s(32,32,20)c(24,24,20)*t(24,32,28)*
s(24,48,20)t(24,48,28)s(24,24,20)-*
c(24,32,20)s(16,24,20)-t(40,16,12)+
s(24,32,28)t(32,32,12)-s(40,24,28)-
c(32,32,28)s(32,32,28)-s(8,24,12)-
s(8,40,12)c(40,16,12)+t(24,24,20)-
s(24,32,28)s(24,32,12)-s(24,48,20)+
s(32,48,20)s(32,40,20)*s(32,24,20)-
t(24,32,20)s(32,48,20)+s(48,32,20)-
s(24,40,28)s(40,32,20)*t(24,40,28)+
c(32,24,20)c(40,24,20)*s(32,16,20)*
s(16,32,12)s(48,16,20)+s(32,16,12)-
s(48,8,12)s(24,24,28)+s(24,32,28)*
t(32,40,28)s(48,24,20)c(32,24,20)*-
s(40,32,12)c(24,32,12)+t(40,40,20)-
s(40,48,20)s(32,24,20)+t(32,32,28)*
s(24,24,28)s(24,16,20)c(24,32,12)-*
s(32,16,20)s(40,32,12)t(32,32,12)+-
c(40,40,20)c(16,32,12)t(32,48,20)+*
t(32,48,28)s(16,32,20)-s(32,32,28)-
s(24,40,28)c(32,48,12)t(40,40,20)+*
s(32,24,20)c(32,24,12)c(24,32,12)+*
c(40,40,20)t(48,32,12)s(32,48,20)+*
s(24,40,20)c(24,40,20)s(16,48,20)*-
s(32,40,20)s(24,32,20)s(24,8,12)+*
t(24,40,28)c(24,32,20)*c(24,24,20)*
s(24,24,20)s(32,32,20)s(40,24,28)**
s(32,24,20)s(32,16,12)c(16,32,12)+*
s(40,16,20)c(40,40,20)t(24,40,28)*+
t(24,32,20)s(48,8,12)+s(40,32,12)-
c(32,24,20)s(24,24,28)*t(24,32,20)*
t(32,32,28)c(40,40,20)s(40,32,20)*-
s(32,40,28)t(48,48,12)-s(16,32,20)*
s(48,16,12)s(40,32,20)s(48,16,20)-+
c(40,24,20)s(40,24,20)t(32,40,28)--
s(40,32,20)s(40,40,28)s(32,24,20)*+
s(40,24,20)s(40,32,28)c(32,40,20)*-
s(24,24,28)c(24,40,20)*s(32,40,28)*
t(40,56,12)s(24,16,20)s(40,16,20)*+
s(48,48,20)c(40,40,20)*c(32,32,28)*
t(48,56,12)s(40,48,20)s(40,32,20)*+
c(40,32,20)s(32,48,20)-c(40,32,12)+
c(40,32,20)s(16,40,20)-t(24,40,20)-
s(40,32,28)t(24,32,28)s(24,24,28)*-
c(40,40,20)c(48,32,12)-t(24,48,20)-
s(40,24,28)c(40,40,12)-c(48,24,12)-
c(24,24,20)c(32,32,20)s(48,24,12)-*
c(32,40,20)c(24,24,20)*t(48,32,12)+
s(32,32,20)s(40,16,12)-c(24,48,12)-
s(24,24,28)c(32,32,20)c(40,48,12)-+
s(40,16,20)t(32,40,28)+t(40,32,12)-
s(40,48,20)c(16,40,12)+t(32,40,20)-
s(32,24,28)c(16,40,12)-s(48,32,20)*
t(32,32,28)c(40,32,20)t(40,40,12)--
s(48,24,20)s(40,16,12)t(32,32,28)+*
s(24,32,20)s(48,40,20)t(40,40,20)*-
s(48,40,20)c(32,32,20)*t(32,24,12)+
s(16,24,20)t(16,48,12)s(24,16,20)+*
c(32,32,20)s(24,16,20)-s(40,32,28)*
s(40,40,28)t(16,48,12)s(48,32,20)+*
s(40,48,20)s(40,24,12)+s(40,48,12)-
s(32,48,20)c(40,40,20)*s(32,40,20)*
t(32,48,28)s(40,24,28)s(32,24,28)*-
t(48,32,12)s(32,48,20)+s(32,40,12)-
s(24,24,28)c(24,40,20)-s(32,16,20)*
s(24,24,28)s(24,40,20)-s(40,40,28)-
t(32,32,20)s(16,16,12)+c(24,48,12)-
s(40,24,28)c(40,40,20)-s(16,48,20)+
t(40,40,20)s(24,24,12)+s(40,40,28)*
s(40,24,28)s(16,48,20)t(24,48,12)-+
s(32,48,20)s(24,40,28)s(40,40,12)-*
s(32,40,20)t(24,40,28)s(24,24,28)*-
s(40,48,20)t(40,40,12)-s(32,40,12)-
s(48,40,20)t(32,40,28)+s(40,32,20)*
s(8,40,12)s(32,32,12)+c(32,32,28)*
s(24,40,28)s(24,32,28)*s(24,24,12)-
s(24,32,20)s(16,48,20)s(24,48,20)+*
s(32,32,28)s(24,40,12)-c(40,24,20)-
s(24,32,28)s(8,24,12)-t(24,24,20)*
s(32,24,20)c(32,32,28)s(32,40,20)--
c(48,16,12)s(32,16,12)+s(24,32,28)+
s(32,40,28)s(24,32,28)+c(24,24,20)-
s(24,40,28)c(24,24,20)s(8,24,12)--
s(24,40,20)s(16,40,20)s(24,40,12)--
c(40,24,12)s(8,32,12)+s(40,40,28)-
s(24,32,28)s(24,16,20)*t(32,40,20)-
s(48,16,20)t(40,24,20)s(32,24,20)*-
c(48,32,12)s(24,32,28)t(32,40,12)-+
c(40,32,20)t(32,40,28)s(40,16,20)--
s(24,40,28)c(32,32,28)c(16,32,12)-*
s(48,16,20)t(40,24,20)s(40,8,12)+*
c(24,32,20)c(24,24,12)-c(24,40,20)*
s(16,32,20)c(16,16,12)-s(24,32,28)*
t(32,32,20)t(24,40,28)c(32,32,12)--
c(40,32,20)s(32,48,12)-c(24,32,20)-
s(32,8,12)s(40,16,12)+s(48,24,12)+
c(40,32,20)s(40,32,28)s(40,16,20)-*
s(40,32,20)s(16,16,12)s(24,32,20)+*
s(48,40,20)c(32,32,20)s(16,32,12)--
t(32,48,28)s(40,40,20)t(40,32,20)*-
s(32,48,20)s(16,48,20)s(24,24,28)+*
s(40,24,28)t(32,32,28)c(24,32,20)**
t(24,48,28)s(32,48,20)t(32,40,28)**
s(24,24,28)s(24,48,20)-s(40,32,28)*
t(48,40,12)s(8,32,12)+c(32,32,28)*
c(48,24,12)c(16,24,12)+c(40,24,20)*
s(24,40,20)c(16,48,12)-t(32,32,28)+
s(32,40,28)c(24,40,20)*s(40,24,28)*
t(32,48,20)t(24,32,28)s(16,24,20)*+
s(24,48,20)t(32,40,28)*t(32,56,12)-
s(24,32,28)c(24,40,20)*t(32,40,28)*
t(32,48,28)s(24,48,20)s(24,24,28)-*
s(40,32,20)s(40,32,12)t(24,40,12)+*
s(24,40,28)t(32,40,28)*s(16,48,12)-
s(32,48,12)c(24,32,20)+c(24,40,20)*
s(24,32,28)c(24,16,12)s(48,16,20)+*
t(32,48,12)s(48,32,20)+c(32,24,20)-
s(48,48,20)t(40,16,12)+t(40,48,20)*
s(24,24,28)t(32,32,20)t(32,48,20)+*
s(24,24,20)s(48,40,20)s(32,8,12)+-
t(40,32,12)c(40,32,20)s(40,16,20)-+
s(16,32,20)s(40,24,20)c(32,40,20)*-
s(32,40,28)t(24,48,20)-t(40,48,12)-
s(40,24,28)s(32,32,20)*t(32,32,20)*
t(24,32,28)s(32,24,28)s(32,48,20)-*
c(40,40,20)t(32,32,28)s(40,48,20)--
s(32,24,20)c(24,40,20)*t(40,24,12)+
s(40,16,20)s(48,40,20)-t(24,16,12)+
s(40,32,28)t(32,48,20)t(48,32,12)+*
t(32,32,28)t(32,40,28)*s(32,40,12)-
c(24,40,20)t(24,40,28)*s(32,32,20)*
c(32,40,20)t(24,32,28)s(8,40,12)-*
t(24,48,28)s(32,24,20)s(40,32,12)--
s(40,48,20)t(32,32,12)-t(32,40,28)*
s(16,24,20)s(32,32,28)s(24,24,28)**
s(40,24,20)c(32,24,20)*s(32,8,12)-
t(40,56,12)c(32,24,20)t(48,48,12)++
s(32,32,28)c(32,32,12)-s(40,40,28)*
t(40,48,20)s(40,32,28)s(24,48,20)+*
c(16,16,12)s(40,32,20)s(16,32,20)-+
s(32,32,20)s(40,16,12)-s(24,40,12)-
s(48,24,20)s(16,16,20)t(24,32,28)-+
s(32,32,20)c(24,32,20)*s(24,40,20)*
c(40,40,20)s(48,24,12)s(8,40,12)+-
c(32,24,20)s(40,32,20)c(48,48,12)-*
c(24,40,20)c(32,40,20)*s(40,48,20)*
s(40,40,28)s(48,16,20)-s(24,32,28)*
c(40,32,12)c(24,24,12)+s(48,40,20)+
s(40,32,28)t(32,32,12)s(40,48,20)+*
c(24,40,20)t(32,48,20)c(48,40,12)+*
s(40,40,20)s(24,40,12)+t(32,32,12)-
s(40,40,28)c(24,24,20)*c(32,24,12)+
c(32,24,20)c(24,16,12)s(24,32,12)+-
s(24,40,28)s(32,48,20)t(16,48,12)+*
s(32,16,20)s(24,16,20)c(24,24,12)-+
s(32,48,20)t(32,32,28)+s(16,40,20)*
s(24,32,20)s(32,32,28)s(32,48,20)*-
c(24,32,20)s(16,48,20)-s(24,32,12)-
s(48,48,20)t(24,48,20)t(24,40,28)*+
c(24,32,20)c(32,24,20)s(24,40,12)-*
t(32,40,28)s(32,40,28)t(40,32,20)*-
s(48,40,20)t(32,40,12)-t(48,24,12)+
s(40,32,20)t(24,16,12)+s(40,40,20)*
s(16,40,20)s(24,40,20)s(24,16,20)+*
s(48,32,20)s(32,40,20)s(24,40,20)*-
t(48,56,12)c(24,40,20)+t(16,48,12)-
c(40,40,20)s(32,24,28)*t(48,24,12)-
s(32,40,28)t(32,48,12)-s(24,24,20)*
s(24,32,28)s(48,40,20)+t(40,48,20)*
t(32,40,20)c(40,40,20)s(24,40,20)--
t(32,32,28)t(24,40,28)t(16,32,12)-*
c(40,32,20)t(32,16,12)c(48,48,12)+-
s(16,40,20)t(16,48,12)t(32,40,20)+*
s(24,40,20)c(16,24,12)-s(24,24,28)+
t(24,32,28)s(24,24,12)-c(40,16,12)+
t(24,40,28)c(48,40,12)t(40,32,20)+-
s(32,48,20)t(32,40,28)s(24,40,28)**
s(48,48,20)s(24,32,28)-s(8,48,12)+
t(32,24,20)c(32,32,20)s(32,24,20)**
s(16,48,20)s(40,48,20)c(32,24,20)--
s(40,48,20)s(32,40,28)s(24,32,28)*-
s(24,32,28)s(40,32,20)s(32,40,20)**
s(16,24,20)c(32,32,28)*t(48,40,12)+
s(48,40,20)s(40,32,20)*s(32,32,28)*
s(40,24,20)s(40,16,20)t(40,24,20)*-
t(24,48,28)s(32,48,20)t(40,40,20)--
s(32,32,28)s(40,32,12)s(48,16,12)+*
c(32,24,20)s(24,40,28)*t(24,40,28)*
c(24,24,12)s(8,48,12)+s(24,40,28)*
s(32,48,20)s(16,8,12)s(24,24,20)+-
s(16,24,20)s(24,40,28)c(32,16,12)+*
s(24,32,28)s(24,24,28)*c(40,32,20)-
s(40,40,28)t(32,48,12)c(24,24,12)+-
s(24,32,28)t(32,32,12)-c(16,24,12)-
t(40,32,20)t(32,32,20)c(48,40,12)+*
t(24,32,28)s(40,40,20)c(32,40,20)*-
s(24,16,20)s(32,32,20)s(40,24,28)+*
t(24,48,28)c(32,40,20)*s(24,40,20)*
c(32,32,20)t(48,40,12)-s(40,32,20)*
c(24,32,20)s(40,24,12)+t(32,40,28)*
t(24,24,20)t(16,48,12)+c(32,32,20)*
s(40,48,20)s(32,24,20)-s(48,48,20)*
s(40,40,20)s(40,32,28)c(32,16,12)-*
c(24,24,20)c(16,32,12)-s(24,24,20)*
s(40,48,20)c(32,24,20)s(32,40,28)*-
t(32,24,20)c(24,24,12)t(40,32,12)+*
s(48,48,20)s(40,40,20)-t(32,24,20)+
t(32,24,20)c(32,40,12)-s(24,8,12)-
s(32,32,28)c(32,32,12)-t(32,40,28)*
s(40,32,20)s(40,40,20)s(32,32,20)*-
s(24,24,28)s(16,48,20)-s(24,24,12)-
t(32,48,28)s(24,48,20)*s(32,32,12)-
c(40,24,12)s(48,32,20)s(40,16,12)-+
s(24,24,20)t(24,48,28)-s(24,16,12)-
c(40,24,20)t(48,32,12)t(32,48,12)+-
s(32,24,28)s(40,16,20)*s(48,32,20)-
s(24,24,20)t(32,16,12)-s(24,8,12)-
s(16,32,12)t(32,40,28)t(40,40,20)*+
t(24,48,28)s(24,40,28)*c(24,24,20)+
s(24,40,28)s(16,40,20)-s(48,40,20)-
s(24,32,20)s(16,32,20)s(16,40,12)--
t(40,24,20)s(40,32,20)t(32,48,20)-*
s(40,24,28)c(32,32,12)-t(32,24,20)+
s(24,16,20)s(40,24,28)s(24,32,28)*-
s(32,48,20)s(24,32,28)s(32,40,28)**
s(32,40,20)s(32,32,20)*s(40,24,28)*
t(32,56,12)t(24,24,12)t(16,56,12)++
t(32,24,20)s(32,32,28)s(40,24,20)--
s(32,40,20)s(24,48,20)*t(40,32,12)-
c(40,40,20)t(32,48,28)s(48,48,12)-*
s(32,24,28)s(40,16,20)t(24,48,20)+*
t(32,32,28)t(24,24,20)-s(40,32,20)*
s(32,16,20)t(32,16,12)t(24,32,28)+*
s(40,48,20)s(16,40,20)-t(32,32,28)-
t(24,32,28)s(40,32,20)t(32,16,12)-*
t(24,40,20)t(40,16,12)+s(40,32,28)*
t(32,32,28)c(48,40,12)c(32,40,20)+*
s(40,32,20)s(48,48,12)-t(32,40,28)*
s(24,48,20)s(48,48,20)t(32,40,28)+*
t(24,40,28)c(24,40,20)*s(40,24,12)+
c(16,48,12)t(32,24,12)+t(24,48,28)*
s(24,40,20)t(32,48,28)t(24,48,28)**
t(24,48,28)s(16,48,20)s(16,24,20)-*
s(40,16,20)c(24,32,20)-s(48,24,20)+
s(24,48,20)s(24,8,12)s(16,40,20)+*
c(24,32,20)t(32,40,28)s(8,40,12)+*
s(40,24,28)s(16,16,20)-c(40,40,20)-
c(40,24,20)s(48,40,12)-s(16,8,12)+
t(24,32,28)c(24,32,20)s(24,40,28)**
s(32,48,20)s(24,32,20)t(24,48,20)-+
c(32,32,20)c(32,40,20)*c(40,32,20)*
s(24,16,20)s(16,8,12)-s(40,24,28)*
c(24,24,20)t(40,24,12)-s(32,32,28)+
c(32,32,20)s(48,24,12)-s(48,24,20)-
s(40,24,20)s(48,16,12)s(48,32,12)+-
c(16,24,12)s(48,24,20)+c(32,16,12)-
c(24,24,20)s(48,40,20)-s(40,32,28)*
s(48,24,20)s(40,24,28)s(48,32,20)**
s(16,16,20)c(32,32,20)s(32,48,20)++
t(24,48,20)s(24,48,20)s(48,40,20)-*
s(48,40,20)t(32,32,28)t(24,40,20)--
t(24,40,28)c(40,32,20)*c(40,32,12)+
s(24,24,12)c(24,24,20)s(32,16,20)*+
t(32,40,28)s(48,16,20)s(32,24,20)+*
t(24,40,28)t(32,48,20)*s(32,16,12)+
t(16,32,12)s(48,48,20)+t(32,48,28)-
s(48,32,20)c(48,32,12)-t(40,40,12)+
s(40,32,28)s(48,32,12)s(24,24,12)+*
s(16,48,20)c(24,40,20)*t(24,40,28)*
c(32,24,20)t(40,40,12)-c(16,24,12)-
s(48,32,20)s(40,32,20)*s(32,40,12)+
t(32,32,28)t(24,48,12)+t(24,48,12)-
s(40,24,12)s(32,48,20)+s(48,40,20)-
t(40,24,20)s(40,16,20)+s(40,24,20)*
c(24,32,20)t(24,40,28)s(32,40,20)**
c(16,48,12)s(40,40,20)+s(32,32,28)*
c(32,24,20)s(40,24,20)t(24,32,20)-*
c(40,32,20)t(32,48,28)*s(16,40,20)+
t(24,40,28)c(40,40,12)-s(24,40,20)*
s(40,16,20)s(40,32,28)*s(16,16,12)+
c(24,24,20)s(24,16,20)*t(16,32,12)-
t(24,32,28)s(24,16,20)c(32,24,20)*-
s(8,48,12)c(32,40,20)+t(24,32,28)-
s(48,32,20)t(40,48,20)s(32,24,12)+-
c(32,32,28)t(32,24,20)-t(24,32,28)*
t(40,32,20)c(32,32,28)s(24,16,20)*+
t(32,40,28)t(40,40,20)t(24,48,12)+*
c(32,40,20)s(16,48,20)s(32,48,20)*-
c(32,32,20)t(32,24,20)-s(40,24,20)-
t(24,48,20)s(32,24,28)+c(40,40,20)*
c(24,40,20)s(40,32,28)s(24,24,20)*-
t(40,48,12)s(40,16,20)+s(48,24,20)*
c(16,40,12)s(32,24,28)c(40,32,20)-+
s(16,48,20)c(40,40,12)+c(32,40,20)+
s(32,24,28)s(40,24,28)*s(24,40,28)*
c(32,24,20)s(24,32,20)*c(32,48,12)+
s(48,32,20)t(32,24,20)c(16,16,12)--
t(32,32,28)t(32,40,28)s(16,48,12)-*
c(32,40,20)s(40,40,28)*c(24,40,20)*
c(48,24,12)c(24,40,12)+t(40,24,12)-
t(24,32,20)s(8,8,12)+t(32,32,20)-
c(32,24,20)c(40,32,20)*c(24,40,20)+
t(32,40,20)s(32,24,12)+c(40,24,20)*
s(40,24,20)s(40,48,20)c(40,32,20)*-
s(32,24,28)t(24,32,28)t(40,48,20)-*
s(32,40,28)c(24,40,20)s(40,40,20)*-
s(32,48,20)s(48,16,12)s(24,24,20)+-
c(32,40,20)s(8,40,12)+c(24,32,20)*
c(40,40,20)t(40,32,20)s(32,48,12)-*
t(32,32,28)s(24,40,28)+s(48,16,20)-
s(24,32,20)s(32,8,12)+s(24,16,20)-
s(16,40,12)t(32,24,20)s(24,24,20)*+
s(32,24,28)t(24,16,12)-s(40,40,12)-
s(24,32,20)c(32,24,20)c(24,16,12)--
s(40,40,28)s(48,16,20)t(32,24,20)--
c(24,32,20)s(24,48,20)*s(8,32,12)-
s(32,40,28)s(40,32,28)c(24,24,20)**
s(40,48,20)t(40,24,12)t(24,48,28)+*
s(40,24,28)c(40,40,20)s(48,32,20)**
s(32,24,20)c(16,16,12)-c(32,40,20)*
s(24,24,20)s(32,24,20)+t(40,24,20)-
t(24,32,28)s(24,32,28)t(32,48,20)-+
s(40,16,20)c(24,24,20)t(40,32,20)--
c(24,16,12)t(24,32,28)+s(24,24,28)*
s(24,32,28)t(24,16,12)-c(32,40,20)-
t(32,48,20)c(32,24,20)-t(16,16,12)+
s(48,16,12)t(32,32,28)s(24,32,20)*+
s(32,24,20)s(32,32,20)*s(48,24,20)+
s(40,32,28)t(32,56,12)+s(32,16,12)-
c(24,24,20)c(24,32,12)t(24,40,20)+*
c(40,40,12)s(48,16,12)+c(32,40,12)-
s(32,24,20)c(32,24,20)c(40,32,20)--
s(32,24,20)s(48,32,12)-c(40,16,12)+
t(24,32,28)s(32,48,12)-t(40,32,12)-
s(16,40,20)s(16,48,20)s(8,16,12)+*
s(24,24,28)t(24,40,28)*c(32,40,20)+
c(24,40,20)t(32,48,28)s(48,32,20)--
s(48,48,20)c(24,32,20)c(40,48,12)+*
t(24,40,20)c(32,24,20)s(40,32,20)*-
c(32,32,20)t(24,48,28)c(32,24,20)--
t(24,48,20)t(24,32,28)+s(40,48,20)*
c(32,32,28)s(40,48,20)*t(32,40,28)*
t(32,40,28)t(24,48,28)s(24,32,12)-*
t(32,32,28)c(48,24,12)-c(16,40,12)-
s(32,32,20)s(40,40,12)s(48,24,20)+*
t(32,40,20)t(24,32,28)*c(24,32,12)+
t(48,32,12)s(32,48,20)s(24,40,20)*+
s(32,32,28)s(24,8,12)t(48,24,12)+-
s(40,40,28)s(40,32,28)s(40,8,12)+*
s(40,32,20)c(32,32,20)s(48,24,20)*-
c(32,32,20)c(24,48,12)-t(40,40,20)-
s(48,32,20)t(32,40,12)-s(32,16,20)-
s(40,48,12)t(40,24,20)+t(32,24,20)-
t(24,40,28)s(24,32,28)s(40,24,28)**
s(24,32,20)s(8,48,12)c(16,16,12)+-
c(24,40,20)t(24,32,28)s(16,48,12)-*
c(24,40,20)s(40,40,20)t(40,48,20)*-
t(24,40,28)s(32,24,28)*c(32,24,20)*
s(40,32,28)t(24,40,28)s(24,48,20)*-
s(24,24,28)t(24,40,20)+s(48,24,20)-
t(24,32,12)s(32,16,20)s(24,24,12)-+
t(32,16,12)t(32,24,12)c(32,40,12)++
s(16,24,20)t(16,32,12)-c(24,24,20)*
t(32,24,20)c(32,48,12)+s(40,24,20)*
t(24,32,28)c(40,40,12)-t(24,40,20)-
s(40,40,28)t(24,40,28)*s(48,24,20)+
s(24,40,20)t(24,48,28)*c(32,32,20)*
s(24,40,28)t(32,32,28)c(24,32,20)*-
s(40,24,28)c(40,48,12)+s(48,16,20)*
s(40,40,28)t(24,24,12)t(40,56,12)+-
t(24,32,28)t(24,48,12)+s(32,40,20)*
s(48,24,20)s(48,16,20)*s(48,32,20)*
c(40,24,20)s(40,40,28)s(24,24,28)**
t(32,32,28)s(40,48,12)s(8,24,12)+-
s(32,32,20)s(32,48,12)-c(40,40,20)*
t(24,40,20)s(32,32,20)t(32,56,12)++
s(48,40,20)s(48,24,20)*c(32,16,12)+
s(32,16,20)s(24,16,20)s(48,16,20)--
s(40,32,28)c(48,16,12)-t(24,40,28)*
s(16,48,20)t(24,48,28)c(40,40,20)-*
c(40,32,20)s(24,24,20)s(16,24,20)*-
t(32,32,20)s(24,32,28)c(24,40,20)**
s(24,32,20)c(40,40,20)+s(16,32,20)*
s(48,32,20)c(40,40,20)t(40,48,12)-*
s(16,48,20)s(16,32,20)c(32,24,20)+*
c(32,32,20)s(32,24,12)t(48,48,12)+-
s(40,32,20)s(16,24,20)+s(24,16,20)*
s(24,32,20)t(32,40,28)s(40,32,20)+*
s(16,40,12)s(32,32,12)s(40,16,20)++
t(32,32,28)s(24,40,28)*s(32,40,12)-
s(24,24,12)t(32,40,20)t(40,32,12)++
t(24,40,28)c(24,40,20)t(24,40,12)-*
s(40,40,28)s(16,48,20)-c(32,40,12)-
s(48,40,20)t(32,40,28)s(40,16,20)-*
s(24,40,20)s(16,24,12)-s(32,32,28)*
s(32,24,28)s(24,32,28)t(32,24,20)--
c(16,32,12)t(40,40,20)+c(32,48,12)-
c(32,40,20)t(48,48,12)-c(40,24,12)-
t(32,32,28)t(32,40,28)s(40,40,20)**
s(24,24,28)c(16,24,12)-s(32,8,12)-
t(32,48,28)t(48,24,12)+c(24,40,20)*
s(40,32,20)c(24,40,12)-s(32,32,28)*
c(32,32,20)s(16,24,20)-s(40,24,28)*
t(32,40,28)s(16,32,12)s(40,32,20)+*
c(32,24,20)c(24,24,20)*s(40,24,20)*
t(24,48,28)s(32,16,12)c(24,40,12)+*
s(32,8,12)s(16,32,20)+c(24,32,20)*
s(24,24,28)c(24,40,20)s(16,32,12)-*
s(48,40,20)c(24,32,20)t(16,24,12)--
s(24,32,20)c(40,24,20)s(24,40,28)*-
t(32,32,20)c(32,24,20)s(40,32,20)**
c(24,32,20)t(32,40,28)*s(16,16,20)-
t(24,40,28)s(32,16,12)+c(24,40,20)*
c(24,24,20)t(40,56,12)+c(40,40,20)*
s(16,48,20)c(24,24,12)+c(32,24,20)-
c(40,40,20)s(40,32,20)s(48,40,12)-*
c(32,32,28)s(32,16,20)-s(32,40,12)-
t(24,32,28)c(24,24,20)*s(40,32,20)-
s(32,32,28)c(48,32,12)s(24,48,12)+*
s(40,24,28)t(32,32,12)-c(32,32,12)-
s(40,16,20)c(24,40,20)+c(24,24,20)*
s(24,32,28)s(24,8,12)+s(32,40,28)-
s(16,40,20)s(32,48,20)+s(32,40,28)*
s(24,32,28)c(40,32,20)t(24,32,20)-*
s(24,32,20)s(32,32,28)c(24,32,20)**
c(32,40,20)c(24,16,12)+s(32,24,20)-
s(32,40,28)s(16,48,20)*t(24,32,12)+
s(40,16,20)s(32,24,28)*s(16,32,20)-
s(24,40,20)s(24,24,28)s(32,40,20)**
s(32,40,28)s(48,24,12)-s(32,16,20)+
s(40,32,28)s(40,32,12)s(8,16,12)+-
c(32,32,28)c(32,32,28)s(48,32,20)*-
s(48,16,20)s(48,24,20)*t(32,48,28)+
c(40,24,20)s(40,40,28)*c(24,40,12)-
t(24,48,12)s(40,24,28)t(32,32,28)*+
c(32,32,28)t(24,32,28)c(32,40,20)*-
t(32,48,28)c(32,32,28)*s(24,48,12)-
s(16,24,20)c(24,40,20)t(24,48,28)*-
t(32,32,28)c(24,48,12)s(48,32,20)+-
t(16,32,12)s(40,40,20)+s(16,40,20)-
t(32,32,28)s(32,32,28)s(32,32,12)-*
c(24,32,20)s(48,40,20)+c(32,40,20)*
s(40,16,20)c(32,32,12)-s(16,16,20)-
s(32,32,28)s(32,40,28)c(40,40,20)--
s(24,24,28)c(40,24,20)-s(32,24,28)*
c(24,40,20)s(24,32,28)s(32,24,20)**
s(32,24,28)s(16,32,12)-c(40,32,20)*
s(24,24,28)t(32,40,28)*c(24,40,20)*
s(40,24,28)s(24,32,20)*c(16,16,12)-
s(24,40,28)c(40,24,20)*t(40,40,12)+
t(32,40,12)t(40,24,20)+s(24,32,28)*
s(40,24,28)s(32,24,20)-s(16,48,20)+
s(40,40,20)c(32,24,20)c(40,24,20)*-
s(32,40,20)t(40,32,20)+s(8,40,12)+
s(40,8,12)t(24,40,20)+s(32,32,12)-
c(24,24,20)t(32,48,20)-s(8,24,12)-
c(40,48,12)s(32,40,28)t(32,40,20)-+
t(24,56,12)s(32,32,20)c(24,32,20)*+
s(32,16,20)c(32,32,20)c(48,24,12)--
s(40,32,20)c(32,40,20)*s(24,24,28)*
s(32,24,20)s(40,32,20)c(32,32,20)**
c(24,32,20)t(32,40,28)*t(40,24,20)-
s(40,16,20)t(40,48,12)t(32,24,12)+-
c(40,32,20)c(32,24,12)-t(32,48,12)+
t(32,32,28)s(24,24,28)+t(24,32,20)-
s(16,24,20)s(16,32,20)c(32,32,28)**
t(24,48,28)s(24,40,28)t(32,32,20)*-
t(24,32,28)t(24,40,28)s(24,16,20)+*
c(24,32,20)s(40,32,28)s(40,40,28)**
t(24,48,28)s(24,24,20)-s(16,40,20)-
c(32,24,20)s(24,24,28)t(32,40,28)-*
t(40,40,20)c(24,32,20)c(32,40,12)--
t(32,32,28)s(40,40,20)s(24,32,28)**
s(32,24,28)s(8,40,12)c(40,40,20)+*
s(32,40,20)t(32,32,28)s(16,40,12)-+
s(48,48,20)t(48,48,12)-t(40,56,12)-
t(24,32,28)s(16,48,20)t(16,32,12)--
t(24,32,28)s(32,48,20)+s(40,32,28)*
t(24,48,28)t(32,32,28)-s(40,32,28)-
s(32,48,20)c(40,32,20)s(40,40,28)**
s(24,24,28)s(24,8,12)t(40,32,20)+*
t(24,32,28)t(40,40,20)-c(32,24,20)*
s(40,48,20)s(48,40,20)s(24,24,28)--
s(24,40,20)c(32,32,20)*s(32,24,28)*
c(32,40,20)t(24,24,20)+c(32,24,20)*
s(16,40,20)c(32,32,28)s(32,32,12)-*
s(24,40,12)s(40,40,20)+t(48,16,12)+
c(32,32,28)s(24,48,20)-s(24,40,20)-
s(32,24,28)s(32,32,28)*c(16,40,12)-
s(48,40,12)c(24,24,20)+s(16,24,20)*
t(32,32,28)s(24,24,28)t(40,24,12)-*
s(40,24,28)s(24,32,28)s(24,40,28)+*
t(32,40,28)s(24,40,28)t(24,48,28)**
c(32,32,28)s(32,48,20)c(40,48,12)-*
t(24,32,28)s(32,40,28)s(40,40,12)-*
c(32,32,28)t(24,32,20)-t(40,24,12)-
s(32,40,20)s(32,24,12)-s(24,40,28)*
s(16,32,20)s(16,40,20)s(24,16,20)-*
c(32,24,20)s(48,32,20)t(32,32,28)*-
s(40,48,20)t(24,48,28)c(16,32,12)--
s(40,24,28)s(24,32,28)s(24,48,12)--
c(24,40,12)t(32,40,28)t(24,48,12)-+
s(24,32,28)t(24,40,20)t(40,48,20)--
c(24,40,20)s(40,40,12)-c(16,40,12)-
s(24,24,28)c(32,16,12)-t(40,32,12)-
s(32,40,28)s(16,32,20)s(16,24,20)*-
s(48,32,20)s(32,16,20)+t(32,24,20)-
t(32,40,28)s(24,32,28)*c(16,32,12)-
c(40,24,20)s(40,16,20)t(32,24,12)-*
t(40,48,20)c(32,40,20)t(32,48,28)**
t(24,32,20)t(32,32,12)-s(40,40,20)+
s(48,32,20)s(24,24,28)s(32,32,20)*+
c(40,24,20)t(40,40,20)-c(32,24,20)*
s(32,40,20)s(40,24,20)-s(48,40,12)-
c(40,16,12)s(32,24,20)+t(24,24,20)*
s(32,24,20)s(24,40,28)c(40,32,20)**
c(40,24,20)s(32,24,28)*t(32,32,12)-
s(24,40,28)s(32,24,20)-t(24,48,20)*
c(40,40,20)s(24,24,28)t(24,40,20)--
s(48,32,20)s(24,32,28)-t(40,40,20)-
s(24,16,20)s(40,24,12)-s(32,24,28)+
s(48,40,20)s(32,40,28)s(48,24,20)+*
s(24,24,28)s(32,24,28)s(48,8,12)-*
s(32,40,28)s(16,24,12)-s(40,40,20)-
s(40,40,28)s(24,24,20)c(32,40,12)+*
s(32,48,20)c(48,24,12)+t(32,48,28)*
s(16,24,20)s(32,24,28)t(24,40,28)*-
s(32,40,20)t(24,48,20)-s(24,32,28)*
s(40,32,20)c(24,40,12)-t(32,32,12)-
s(24,40,20)c(40,40,12)t(24,40,20)+*
c(16,40,12)s(40,24,12)+t(32,32,28)*
s(8,24,12)s(24,40,28)c(40,32,20)*+
s(40,48,20)c(32,32,12)t(24,16,12)+-
c(40,32,20)t(40,48,12)-s(40,40,28)*
s(40,48,20)c(24,48,12)-t(32,32,20)-
c(24,24,20)s(24,16,20)t(48,48,12)+*
s(32,32,20)s(16,32,20)t(24,48,20)+*
s(24,40,20)t(32,48,12)c(48,32,12)+-
t(32,24,20)t(24,40,20)-s(32,32,12)+
s(32,24,28)s(24,16,20)-s(24,40,28)*
c(40,32,20)s(24,32,12)-s(48,32,20)*
s(24,24,28)s(24,8,12)-t(32,24,20)*
c(32,32,28)c(24,32,20)-t(24,48,20)-
s(16,16,20)s(48,16,20)s(16,32,20)+*
t(32,48,28)s(24,40,20)s(32,24,20)--
c(24,32,20)t(40,24,12)-t(16,16,12)-
s(48,16,20)t(40,32,20)s(40,24,20)*-
c(24,40,20)s(32,16,20)-c(40,40,20)-
t(32,40,28)c(32,16,12)-t(32,48,28)*
t(32,48,20)s(32,24,20)t(16,16,12)+-
c(32,40,20)t(24,40,12)-c(24,32,12)-
t(40,48,20)t(32,48,20)t(48,32,12)++
c(40,40,20)s(32,40,20)c(40,40,20)*-
s(40,32,28)t(40,16,12)-t(32,32,20)*
t(24,48,28)s(32,40,20)c(24,24,20)+*
s(32,40,28)s(32,40,20)t(24,32,20)--
s(24,16,20)s(40,8,12)-s(8,8,12)-
c(40,32,20)s(40,24,28)*t(32,32,12)-
s(8,24,12)s(16,16,20)s(24,24,20)-+
c(32,32,20)t(16,56,12)+s(24,24,28)*
s(8,16,12)s(24,24,12)+c(32,16,12)-
s(24,16,12)t(32,40,12)c(16,16,12)++
s(32,40,28)s(16,40,20)*s(24,32,20)*
s(16,32,20)t(24,32,20)t(32,32,28)*-
s(40,40,20)t(32,32,12)-s(48,16,20)-
c(24,32,20)t(32,40,28)*s(24,48,20)*
s(40,32,28)s(40,48,20)-s(24,24,20)*
c(40,32,20)s(24,32,20)c(40,32,12)--
s(40,24,28)c(40,32,20)*c(32,32,20)*
s(16,48,20)c(48,16,12)+c(32,48,12)-
s(16,32,12)c(24,24,12)+t(40,56,12)+
s(40,40,20)c(40,32,20)t(24,24,20)-*
t(32,48,28)s(40,32,12)+t(40,24,20)-
c(40,24,20)s(24,40,28)+s(40,24,28)*
t(24,48,20)t(24,32,28)c(24,24,20)*-
s(32,40,20)s(40,32,28)s(8,8,12)+*
c(32,40,20)c(48,40,12)c(24,24,12)+-
c(32,32,20)s(24,40,20)-s(32,40,20)+
c(48,48,12)s(24,24,20)t(24,40,20)-+
s(24,32,20)t(40,32,12)s(24,48,20)+*
t(40,16,12)s(16,48,20)c(24,16,12)++
c(16,24,12)c(40,40,20)+s(48,32,20)-
c(32,32,28)t(48,24,12)s(16,16,20)+*
c(40,32,20)c(32,16,12)-s(32,24,28)*
t(40,32,20)c(32,24,20)t(32,32,28)**
s(40,48,12)c(32,24,20)+s(48,32,20)*
c(32,32,20)c(32,32,28)s(40,24,28)**
t(32,24,20)s(32,24,20)s(32,16,12)-+
s(8,48,12)t(24,24,20)t(24,32,12)-+
t(24,24,20)t(48,24,12)+s(48,24,12)-
s(32,32,28)c(24,32,20)*s(32,40,20)+
c(32,48,12)s(24,16,12)s(40,8,12)++
t(40,48,20)c(48,32,12)+s(40,40,20)*
t(48,24,12)s(32,24,28)s(24,40,28)-+
c(32,40,20)s(32,24,28)*s(40,24,28)*
s(32,32,20)c(24,16,12)-t(32,40,28)+
s(40,32,28)c(16,24,12)+s(16,24,12)-
c(32,40,12)t(24,16,12)+c(24,24,12)+
s(24,40,28)s(8,40,12)-c(40,24,20)*
c(24,40,12)c(40,24,12)+s(24,24,12)-
c(32,24,20)t(24,40,28)c(16,48,12)-*
s(32,48,20)s(8,8,12)s(40,40,28)+*
c(40,24,20)t(32,40,20)-t(40,24,20)*
c(24,32,20)c(32,24,20)c(24,16,12)-*
s(40,48,12)t(24,48,28)+t(40,48,20)-
s(24,40,28)s(48,24,20)-t(24,32,20)*
t(24,40,28)t(32,40,28)*s(24,32,28)*
s(24,24,28)s(32,24,28)*c(40,24,20)*
c(32,32,28)s(24,40,20)-s(16,24,20)+
c(24,48,12)s(16,16,12)+s(16,40,20)-
c(32,32,28)s(16,32,12)-c(40,24,12)-
s(32,32,28)s(40,24,28)*s(32,24,20)*
c(32,24,20)s(40,32,20)t(40,32,12)--
t(32,48,28)s(48,40,12)c(32,24,20)+-
s(40,32,28)t(24,32,28)c(32,32,20)**
s(24,40,28)c(32,40,12)-s(32,32,28)+
s(40,40,12)c(24,24,20)c(40,32,20)*+
s(24,32,28)s(32,40,20)+c(32,40,20)-
s(40,24,28)s(24,32,20)*c(24,40,20)*
s(40,40,20)s(16,8,12)+t(32,48,28)*
t(24,40,20)t(32,16,12)+c(40,32,20)*
s(24,32,28)s(24,40,20)s(48,48,20)+-
t(24,32,28)s(32,48,12)-s(40,24,28)*
s(32,40,28)s(16,24,20)s(8,24,12)-+
s(24,24,20)t(40,24,20)-s(24,16,20)*
c(32,32,28)t(24,24,20)-s(16,48,20)*
t(32,24,12)c(24,40,20)t(32,48,20)*+
s(16,32,20)c(24,24,20)t(48,16,12)+*
c(40,24,20)t(32,48,20)t(24,24,20)+-
c(40,40,20)s(32,24,28)s(16,40,12)--
t(32,32,28)s(24,48,12)-s(24,40,28)*
s(48,32,20)t(48,56,12)+c(32,24,12)-
s(48,24,20)c(32,32,20)-t(16,32,12)+
s(48,32,20)s(24,40,12)+s(40,32,20)*
s(40,40,28)c(16,40,12)s(48,24,20)+*
s(32,32,20)c(32,32,12)t(40,48,12)+*
c(32,40,12)t(32,16,12)+t(24,40,28)*
t(16,56,12)s(48,40,20)s(40,40,20)*+
s(24,40,28)c(40,32,20)*s(16,24,20)-
s(32,24,20)s(40,40,20)s(48,32,12)--
c(16,40,12)s(16,32,20)c(24,24,20)*+
t(32,48,28)t(24,48,20)s(32,32,12)-*
c(32,24,20)t(16,32,12)s(40,32,12)+*
s(32,40,28)c(32,40,20)s(32,8,12)+*
s(40,40,20)c(40,24,20)c(32,40,12)-+
s(48,32,20)s(48,8,12)+s(40,32,28)*
t(24,32,28)s(24,40,28)t(32,32,28)**
s(40,16,20)t(24,32,12)+c(32,32,20)-
c(32,32,20)s(40,40,20)t(16,56,12)+*
s(40,24,20)c(32,32,20)t(16,40,12)-*
s(24,40,20)s(24,24,20)s(24,32,20)**
c(16,32,12)s(24,40,28)s(32,32,28)*+
s(24,40,20)s(24,24,28)*s(32,32,20)*
s(32,32,20)s(16,16,12)+c(40,24,20)-
s(32,32,20)s(40,32,20)*c(24,48,12)-
s(16,48,20)t(40,32,20)+s(24,40,20)-
c(48,32,12)c(40,24,12)+s(32,32,28)*
s(40,32,28)c(24,16,12)-s(24,48,20)-
s(24,24,20)s(16,24,20)s(16,32,20)**
s(24,16,20)t(16,24,12)-t(24,32,12)+
c(32,32,20)s(48,24,20)c(40,32,20)**
c(40,32,20)s(24,40,20)c(32,40,20)**
s(32,32,28)t(32,40,28)t(24,48,20)-*
s(40,24,28)t(24,40,20)s(24,24,28)+*
t(40,32,20)c(32,16,12)+c(40,40,20)*
s(32,32,20)s(32,40,20)*s(32,24,20)*
s(40,32,28)s(40,32,20)c(24,40,12)--
t(48,24,12)c(32,40,12)+s(40,32,20)*
s(24,16,20)c(24,24,20)c(32,24,20)**
c(40,32,20)c(16,16,12)c(32,32,20)+*
s(32,24,28)s(40,32,28)s(40,24,28)**
c(32,24,20)s(32,40,28)*s(40,24,28)*
s(24,16,20)t(24,32,28)t(24,48,28)--
c(32,40,20)t(24,48,28)t(24,40,28)+*
t(24,40,28)s(16,40,20)+s(24,40,28)*
s(32,48,20)c(32,40,20)s(8,32,12)+*
t(32,56,12)t(32,32,28)s(40,24,20)*+
t(32,40,28)s(24,24,20)-t(24,32,28)-
s(32,32,28)s(48,24,20)-s(24,24,20)*
s(24,40,28)s(32,48,20)*s(40,24,20)+
c(32,32,20)c(24,24,20)s(32,16,20)**
c(40,32,20)c(24,40,20)s(16,40,20)*-
s(32,40,28)c(32,32,28)s(48,40,20)-*
c(24,40,20)t(40,24,20)-c(24,24,12)-
c(24,24,20)s(24,48,20)-s(24,24,20)*
s(32,32,20)s(24,48,12)-c(40,32,12)-
t(24,48,20)s(16,48,20)*c(48,16,12)+
t(32,32,20)s(16,24,12)+c(32,32,12)-
c(40,32,20)s(24,40,28)s(32,48,12)-*
c(32,40,20)c(48,40,12)-s(32,40,12)-
s(32,40,28)t(32,32,28)*t(16,48,12)+
t(32,48,20)s(32,24,20)-c(24,32,20)+
s(24,16,20)c(40,32,20)c(32,24,20)*+
c(40,32,20)t(32,40,28)t(32,48,28)*-
s(32,40,12)s(48,48,20)s(48,40,20)*+
s(48,32,12)s(32,40,20)c(48,32,12)-+
t(24,48,28)t(32,48,12)-s(40,32,20)-
c(24,24,20)s(24,16,20)-c(24,32,12)+
t(32,40,28)t(40,24,20)c(16,40,12)+*
c(32,40,20)s(24,24,12)+t(24,32,20)-
s(32,40,20)s(32,24,20)s(48,16,12)-*
c(16,16,12)s(40,32,20)s(32,24,20)++
s(24,16,20)t(24,16,12)-s(32,16,20)+
s(32,40,28)t(40,24,12)-t(24,32,28)-
s(32,24,28)c(24,24,20)*t(32,32,20)*
t(24,16,12)t(32,32,20)s(24,40,28)*+
t(32,32,28)t(40,24,20)-s(24,48,12)+
s(16,40,20)s(24,40,20)s(16,48,20)*-
t(24,32,28)s(32,32,28)c(40,24,20)-*
s(32,32,28)s(48,24,20)-t(40,48,20)+
s(24,24,28)s(24,24,12)-s(24,32,20)*
s(48,32,12)c(16,48,12)t(24,48,12)++
c(32,24,12)s(8,48,12)c(40,40,12)++
s(40,16,20)s(48,32,20)-s(16,16,20)-
s(24,32,12)c(32,16,12)c(40,40,12)++
s(24,24,28)t(24,32,28)*t(16,40,12)-
c(40,24,20)s(40,32,28)*s(32,48,20)+
c(24,32,20)t(32,40,12)-c(32,24,12)-
s(32,40,28)t(24,32,28)t(32,48,28)+*
t(24,48,28)c(40,24,20)-c(24,32,12)-
s(16,24,20)t(24,48,20)+s(24,32,28)*
s(16,32,12)t(40,24,12)+c(24,32,20)*
c(40,32,20)c(32,48,12)-s(48,40,20)*
s(40,24,28)t(40,40,20)-s(48,32,20)*
t(32,32,28)t(40,24,20)s(24,32,12)--
s(24,32,20)s(8,40,12)-c(40,24,20)*
c(16,40,12)s(40,32,28)+s(32,24,28)*
c(32,40,20)s(8,40,12)+s(24,24,20)*
s(32,32,20)s(48,40,20)+s(40,48,20)*
t(48,32,12)c(24,16,12)+s(40,16,12)-
s(24,40,28)c(40,32,20)*s(40,32,20)*
s(24,24,28)c(32,24,20)s(16,32,20)--
s(32,40,28)s(48,48,12)s(24,24,12)++
s(32,32,20)s(48,48,12)s(32,48,20)+-
s(32,24,20)s(16,24,12)-s(32,24,12)-
c(40,40,20)s(16,40,20)s(16,16,20)-+
t(24,48,20)c(16,48,12)+t(32,48,28)*
s(40,24,12)t(32,48,12)+c(32,24,20)+
s(24,40,28)s(16,24,20)*s(24,24,20)*
t(24,48,28)s(16,48,12)-s(40,48,20)*
s(8,48,12)s(48,16,20)s(40,24,20)*+
s(24,24,20)c(24,40,20)t(32,48,28)*-
c(40,24,20)s(24,24,20)c(24,32,20)**
s(40,16,12)c(40,40,20)s(32,48,20)*+
t(32,48,28)c(24,40,12)c(40,40,12)+-
t(40,48,20)s(24,40,28)c(16,32,12)-+
s(24,40,20)t(16,32,12)-t(24,48,12)-
c(24,32,12)t(32,40,28)+s(40,40,20)*
c(32,40,20)c(32,24,20)s(40,24,28)**
c(24,40,20)s(32,32,28)t(24,32,28)**
s(40,24,20)t(24,48,28)-c(32,32,12)-
s(32,24,28)s(16,48,12)s(40,48,20)++
t(32,32,20)s(16,40,20)t(24,32,20)-+
c(40,40,20)s(32,24,28)t(24,24,20)-*
c(24,24,20)s(24,40,28)*s(16,24,20)*
s(24,48,20)t(24,32,20)c(24,40,12)+*
c(24,24,20)s(40,16,12)-s(40,8,12)+
s(32,32,28)s(24,32,28)s(32,40,20)*-
c(40,40,20)s(48,32,20)s(40,16,12)+*
t(24,56,12)t(48,16,12)t(48,40,12)++
s(24,48,20)s(32,32,28)s(48,32,12)-*
t(24,32,12)s(32,16,20)+t(40,24,20)-
s(24,24,28)s(32,32,20)*t(32,24,20)*
s(32,40,28)c(32,24,20)*t(24,32,20)*
s(32,24,20)t(16,32,12)+t(24,48,28)-
s(16,48,20)c(24,32,20)-s(32,32,12)+
s(24,40,20)t(24,48,28)c(32,40,20)**
s(48,16,20)s(48,40,20)-c(32,24,12)-
s(16,32,20)s(40,32,28)+s(32,16,20)*
s(48,16,20)c(32,24,12)-c(32,32,20)+
t(40,48,12)s(24,48,20)+t(32,40,20)*
t(40,32,20)s(24,24,20)c(24,24,12)--
c(40,24,20)s(16,24,20)c(40,40,12)+*
s(40,40,28)s(32,40,20)-s(48,32,20)*
s(24,32,28)s(16,40,20)*c(24,32,12)-
s(48,48,20)s(48,40,12)-c(40,32,20)-
s(40,32,28)c(16,40,12)s(48,32,20)+*
s(40,16,12)s(32,48,20)s(40,48,12)-+
t(24,40,28)s(24,32,28)c(40,24,20)*-
c(32,32,28)s(40,40,20)s(24,40,12)--
s(8,48,12)c(32,40,12)+c(32,32,28)*
s(24,48,20)s(16,32,12)-s(32,40,12)-
c(32,24,20)s(40,32,28)*s(24,24,12)-
s(16,32,20)s(8,48,12)-t(32,32,12)-
t(24,24,20)c(32,32,28)s(24,16,20)**
s(32,32,28)c(32,16,12)-c(40,32,20)*
t(24,32,28)s(24,32,20)s(40,40,12)-*
s(40,40,28)t(32,48,20)s(24,48,20)*-
t(24,32,28)s(32,16,20)s(16,16,20)*-
s(16,48,20)t(24,48,28)c(24,40,20)**
c(40,40,20)t(32,48,28)c(32,32,12)+-
c(24,32,20)s(40,24,28)c(40,48,12)+*
t(32,32,20)s(32,32,28)s(32,24,20)--
s(8,32,12)c(32,40,12)t(24,24,12)++
t(32,40,20)c(32,16,12)+c(24,32,20)*
s(32,48,20)c(24,24,12)c(40,32,20)+*
s(32,32,28)c(32,40,20)*t(40,16,12)+
s(24,40,28)c(32,32,28)*t(40,32,20)-
s(40,40,20)s(40,48,20)*c(32,32,12)-
s(24,40,28)s(32,24,28)*s(16,16,20)-
t(32,48,28)c(24,40,20)s(48,24,20)--
s(32,32,28)s(40,40,28)*s(24,40,20)*
c(24,32,20)t(32,32,12)-t(32,40,28)*
t(32,32,28)s(40,32,28)s(24,24,12)-*
s(40,24,28)t(32,40,28)*s(16,48,20)-
s(32,24,28)s(16,16,12)-s(48,8,12)+
s(40,48,20)s(40,32,20)+s(48,24,12)-
s(24,32,28)t(24,48,12)t(40,24,20)+*
t(32,40,28)c(32,24,20)s(32,16,12)-*
s(32,16,20)c(32,40,20)c(40,40,20)*-
c(32,32,28)c(32,32,20)-c(24,48,12)-
s(32,24,20)s(40,24,20)*c(24,48,12)+
t(32,48,28)s(40,40,28)s(24,32,28)**
t(16,32,12)c(24,16,12)+t(40,24,20)-
s(32,32,20)c(24,40,20)t(32,32,28)**
t(24,16,12)s(40,48,20)+c(32,40,20)-
s(48,24,12)t(32,40,20)+t(32,48,28)*
s(48,24,12)s(16,40,20)+s(40,40,28)*
t(24,32,28)s(24,24,28)*c(24,48,12)-
s(40,24,28)s(24,16,12)-s(40,8,12)-
s(24,48,20)s(32,24,12)+s(32,48,20)*
t(32,40,28)s(24,32,28)*s(40,48,20)-
t(24,32,20)s(32,32,12)+s(48,48,20)-
c(16,48,12)c(40,32,20)s(32,32,28)*+
t(40,32,20)s(8,16,12)+s(24,24,28)*
s(32,32,28)c(48,32,12)-c(40,24,12)-
c(24,40,20)s(40,40,28)s(32,24,28)*-
c(48,32,12)c(24,24,20)t(24,32,28)++
c(32,32,20)s(40,40,28)t(48,32,12)-*
s(32,40,28)s(24,32,28)*s(40,32,28)*
t(24,40,28)s(32,48,12)-s(16,8,12)+
t(32,40,28)s(24,24,20)t(32,40,12)+-
s(32,32,28)s(40,40,28)t(32,48,28)*-
s(40,16,20)s(40,24,20)*t(40,24,20)*
c(40,32,20)c(40,32,12)t(48,48,12)+*
s(40,24,28)s(40,32,28)*t(24,24,12)-
s(16,40,20)t(16,48,12)t(24,32,28)+*
c(40,40,20)s(32,32,28)t(24,40,28)**
t(16,40,12)s(40,32,20)+s(32,16,12)-
c(40,24,20)c(32,32,20)s(24,16,12)-*
c(32,32,20)s(24,32,28)*s(24,40,12)-
c(32,32,28)c(16,24,12)-s(32,40,20)*
t(32,32,20)c(40,16,12)+s(32,16,20)*
s(40,24,28)s(40,40,20)c(24,40,20)*-
s(24,24,28)c(40,32,20)s(16,40,20)-*
s(24,32,20)c(32,32,20)s(32,40,20)*-
c(32,24,20)s(40,40,20)-s(40,32,28)*
s(40,24,28)c(40,40,20)c(24,40,20)+*
s(16,48,20)s(32,32,28)s(16,32,12)--
s(40,32,28)s(40,40,28)*s(32,32,28)*
t(32,48,28)t(24,32,28)c(24,16,12)--
t(40,24,20)s(40,40,28)c(40,32,20)**
s(24,32,28)s(16,40,12)-t(32,40,20)*
c(24,16,12)t(32,32,28)+t(24,32,28)-
c(32,32,28)s(40,40,20)s(48,24,20)+*
s(32,40,28)c(24,24,20)s(16,40,20)-+
c(40,32,20)c(24,40,20)-s(32,16,20)-
s(48,40,20)s(8,24,12)+s(16,24,20)+
c(32,32,20)s(48,24,20)-s(24,32,12)-
c(40,24,20)s(48,8,12)-t(24,40,20)-
s(40,48,20)c(24,24,20)c(40,40,20)+*
s(24,24,28)s(16,40,20)-s(40,40,12)-
s(32,32,28)s(48,48,12)-c(32,40,20)*
c(32,24,20)s(40,16,20)t(40,24,20)*-
s(40,24,20)c(32,24,20)*t(32,40,20)-
s(32,32,20)c(32,24,20)*s(8,8,12)+
s(24,24,28)s(24,8,12)-s(48,8,12)+
s(32,24,28)s(48,40,12)s(40,24,20)+*
t(32,48,28)c(24,40,20)*t(24,48,28)*
s(24,24,28)s(24,16,20)c(24,32,12)--
t(32,40,28)s(48,16,12)+t(24,40,12)-
s(32,32,28)c(24,40,20)*t(32,32,20)*
c(16,16,12)s(40,40,12)+c(40,32,20)-
s(40,16,20)c(24,16,12)-c(24,32,20)-
s(48,16,20)s(40,32,28)+s(32,40,20)*
s(24,24,28)t(24,32,28)c(24,40,12)-*
s(40,40,20)c(32,40,20)*t(24,40,12)-
c(24,40,20)t(24,24,20)s(24,16,20)*-
c(40,32,20)c(24,32,20)s(16,32,12)-+
s(32,40,28)c(40,24,20)s(16,16,20)-*
s(40,32,28)s(16,32,20)c(24,32,20)*+
s(32,32,28)s(40,24,28)s(32,16,12)-*
s(48,24,20)s(40,16,20)s(32,24,28)**
s(32,32,28)s(24,48,20)t(24,40,28)**
c(16,40,12)t(32,48,28)+s(40,48,20)*
c(16,48,12)s(40,40,28)+s(24,32,28)*
s(24,40,28)c(40,24,12)-s(16,24,20)*
s(40,40,28)t(24,40,28)*s(24,32,28)*
s(24,32,28)s(32,16,12)-s(48,32,20)+
t(40,48,20)s(32,32,20)t(40,32,20)*-
s(8,40,12)t(24,48,28)+s(40,32,28)*
c(24,24,20)t(24,48,20)-s(40,40,28)-
s(40,32,28)t(32,40,28)c(16,48,12)-*
c(32,32,28)c(48,48,12)-t(24,48,20)-
s(32,32,20)t(32,48,20)+s(40,32,12)-
t(32,32,28)s(24,40,20)t(24,40,12)--
t(32,48,28)t(40,56,12)-c(24,24,12)-
c(32,40,20)t(32,32,20)c(32,24,12)+*
s(48,32,20)c(24,32,20)-s(48,24,20)*
s(32,40,12)s(24,40,28)c(40,24,20)*+
s(24,24,28)s(32,16,20)c(48,32,12)+-
s(24,8,12)c(40,32,20)+s(40,24,28)*
c(32,32,28)s(40,16,20)*s(16,24,20)-
c(24,40,20)c(24,24,20)*s(40,24,12)-
t(24,40,20)c(24,32,20)t(40,40,12)-*
t(32,32,28)t(32,40,12)-t(24,48,28)-
c(40,40,20)c(40,32,20)s(24,32,28)-+
s(24,40,28)s(48,24,20)-t(32,32,28)-
s(32,40,20)t(32,48,28)*t(48,24,12)+
s(32,32,28)c(32,40,20)+s(40,24,20)*
t(40,24,20)s(24,32,28)+s(40,40,20)*
s(24,32,28)s(40,40,20)s(48,48,20)--
t(32,32,28)s(24,24,20)s(16,48,20)-*
s(32,40,20)c(24,32,20)+s(16,24,20)*
t(40,32,12)c(40,48,12)+t(40,48,20)*
c(24,32,20)s(32,32,20)c(16,24,12)-*
t(24,24,20)s(32,8,12)+c(16,16,12)-
t(16,56,12)t(40,40,20)+s(48,48,12)-
t(24,48,20)s(32,24,20)c(40,32,12)--
c(40,32,20)s(32,40,28)s(24,32,20)**
s(16,32,20)t(24,32,28)c(40,24,20)-*
t(24,48,20)c(32,32,28)*c(24,40,12)+
t(24,32,20)s(40,40,12)-t(24,16,12)+
c(40,24,20)s(32,24,20)+t(24,32,20)*
t(24,48,28)s(24,24,28)c(32,40,20)*-
s(24,40,28)s(40,24,12)-s(16,16,20)-
t(24,48,28)c(32,32,20)c(32,32,12)--
s(16,32,20)s(24,32,20)+t(32,40,28)*
s(32,16,20)t(40,24,20)c(32,48,12)+-
s(16,16,20)s(24,32,28)*t(48,24,12)+
c(24,32,20)c(40,32,20)t(32,32,20)--
t(24,48,28)s(32,40,12)-t(32,32,20)-
t(32,40,28)t(24,32,28)*s(40,24,28)*
c(40,24,20)s(24,32,28)s(40,32,28)*-
s(40,32,28)s(32,24,20)*c(24,32,20)*
c(32,24,20)s(48,40,20)t(32,32,28)+*
s(24,32,28)c(32,32,20)*s(16,32,20)-
s(16,48,20)s(24,40,28)t(48,16,12)+*
t(48,48,12)t(24,40,28)c(40,40,20)*+
c(40,24,20)t(32,24,20)s(16,8,12)+*
s(40,24,28)s(32,40,28)s(40,24,12)-*
t(32,48,28)s(32,32,28)s(48,16,12)-*
c(16,16,12)t(24,56,12)t(32,32,12)++
c(32,32,20)c(32,24,12)c(16,16,12)+*
s(24,40,20)t(24,48,28)*t(24,48,20)*
s(40,48,20)t(32,40,28)+c(24,40,20)*
c(40,24,12)s(16,40,20)t(32,48,28)-+
s(32,40,28)t(24,32,28)*s(32,48,12)-
t(32,24,20)s(48,40,20)c(32,32,28)*-
s(24,48,20)t(32,40,28)s(32,32,20)+*
t(24,48,28)t(40,48,12)-t(16,48,12)-
c(40,16,12)s(40,24,20)c(32,24,12)-+
s(48,40,20)s(40,24,20)s(40,40,20)*-
s(8,48,12)s(24,24,28)+c(40,24,12)-
t(16,32,12)t(32,24,20)t(24,40,20)-+
s(24,40,28)s(24,40,20)-c(24,48,12)-
s(32,16,20)s(48,24,20)s(48,32,20)*-
c(40,24,20)t(24,48,28)-s(32,16,20)*
s(24,16,20)s(24,24,28)s(40,24,28)**
t(24,32,28)s(40,16,20)s(32,16,20)*+
c(40,40,20)s(24,24,20)s(32,16,20)--
c(32,32,20)s(24,32,28)+s(40,32,28)-
s(32,32,28)c(32,40,20)+s(48,48,20)*
c(24,24,20)s(16,32,20)s(16,24,20)**
t(24,24,20)t(32,40,20)t(40,32,12)++
t(32,32,20)t(32,48,12)+s(32,24,20)*
s(40,40,28)c(24,40,20)*t(24,48,28)*
s(24,24,28)t(32,32,28)*c(40,40,20)*
s(24,32,20)t(32,40,28)s(32,32,20)**
s(8,8,12)c(40,32,20)+t(24,48,20)-
t(24,40,28)s(40,32,20)-s(8,40,12)-
s(48,32,20)t(32,40,12)-s(48,40,20)*
s(24,32,20)t(32,40,20)-s(32,48,12)+
c(32,40,20)c(40,24,20)c(40,40,20)*-
s(32,24,28)c(48,48,12)s(48,32,20)+*
t(32,32,28)c(32,32,20)s(16,32,20)-*
s(40,40,28)c(32,32,28)s(16,16,12)-*
t(24,32,28)s(24,24,20)*s(16,48,20)-
t(24,48,20)t(32,40,28)t(32,24,20)++
c(24,32,20)s(32,40,28)s(40,24,28)*-
t(32,48,28)s(16,32,20)-s(32,48,20)*
t(24,40,28)c(32,24,12)-c(32,32,20)*
c(32,32,12)s(8,16,12)+s(48,48,20)-
s(24,40,20)s(48,32,12)s(24,24,20)+-
t(40,48,20)t(32,48,28)s(48,24,20)+*
s(32,32,28)s(16,24,20)s(24,8,12)-*
t(32,40,28)t(24,48,28)s(32,32,12)+*
t(24,32,28)c(32,32,20)c(24,16,12)-*
s(16,48,20)s(24,40,28)t(32,40,28)*-
c(24,24,12)s(48,40,20)+t(32,40,28)*
c(24,32,20)c(40,40,20)c(40,32,20)**
s(40,40,28)s(48,24,20)s(48,32,20)**
t(32,48,20)c(32,24,20)s(40,40,28)*-
t(32,40,28)c(40,32,20)+s(40,48,20)*
t(32,24,20)s(32,48,20)s(40,40,28)*+
s(24,16,20)c(40,32,20)c(24,24,20)*-
t(24,24,12)s(24,16,20)t(24,16,12)-+
s(24,32,28)t(32,40,12)-c(32,40,12)-
c(24,32,20)s(48,32,12)+s(16,24,20)*
s(24,24,28)c(32,24,20)*s(24,16,20)*
c(32,24,20)t(40,48,20)-s(16,24,20)*
t(40,32,20)c(40,40,20)s(48,24,20)*+
s(32,32,28)t(16,40,12)-s(40,24,20)-
s(40,40,20)t(24,16,12)+t(32,40,20)*
s(16,48,20)c(32,40,20)s(32,16,20)-*
t(40,40,20)s(24,40,28)t(32,40,28)+*
c(48,16,12)s(32,32,12)s(16,48,20)++
t(40,24,20)s(40,48,12)+s(24,32,12)-
s(32,32,28)s(24,16,20)*c(40,32,12)+
s(16,24,20)s(40,40,28)s(48,40,12)-+
s(40,16,20)s(32,24,28)*t(24,32,20)-
c(24,32,20)c(32,32,12)-t(24,48,20)-
s(24,32,28)c(24,24,20)s(48,24,20)-*
c(24,24,20)c(24,40,20)s(24,24,28)**
c(16,40,12)t(24,24,20)+s(24,40,20)*
s(32,40,28)s(48,40,20)t(40,40,12)--
c(32,32,20)s(40,32,28)*s(40,24,28)*
s(24,48,12)s(32,40,20)t(24,40,12)-+
s(40,40,28)s(32,16,12)+t(24,48,28)*
s(16,40,20)s(24,48,20)+s(32,32,20)*
s(24,24,28)s(32,32,20)c(32,24,20)*-
c(32,32,20)s(32,24,28)s(40,24,20)--
s(32,32,28)t(32,48,28)*s(32,48,20)*
c(40,24,20)s(40,32,12)-s(40,40,20)-
s(40,32,20)t(24,48,12)t(32,32,28)++
c(40,32,20)c(32,32,20)*s(40,48,12)+
c(40,32,20)t(40,40,20)s(24,48,12)--
t(24,40,20)s(24,32,20)c(32,40,20)**
t(24,32,28)s(24,40,20)t(24,32,12)--
s(32,32,20)c(40,16,12)-s(40,40,12)-
s(24,32,20)t(32,16,12)+t(32,40,28)-
c(16,48,12)s(16,32,20)+s(8,40,12)-
s(32,32,20)s(24,16,12)+c(40,40,20)*
t(32,48,28)c(40,40,20)c(24,32,20)**
s(32,24,28)c(48,24,12)-s(32,24,20)*
s(32,32,20)c(24,24,20)*t(32,48,20)-
s(32,32,28)t(40,16,12)-s(32,32,20)*
s(40,40,20)s(40,24,12)-t(32,32,28)*
c(32,24,20)t(32,24,20)-s(48,32,20)+
s(8,16,12)s(16,24,12)+s(24,32,12)-
s(16,40,12)c(40,32,20)+c(24,32,20)*
s(24,24,28)s(24,24,28)s(32,40,20)*-
c(32,32,20)s(48,32,12)-s(16,24,20)-
t(32,32,28)s(8,40,12)c(40,32,12)+*
s(40,24,28)c(32,40,20)*s(32,32,20)*
s(24,40,28)c(32,32,28)*s(32,32,20)*
s(40,24,12)s(48,40,20)t(32,40,12)-+
c(32,24,20)s(32,16,12)-s(24,32,20)*
s(32,16,20)s(32,24,28)c(24,32,20)*-
s(24,40,28)s(32,40,28)c(32,24,12)--
s(40,24,28)c(32,48,12)+c(24,40,20)-
s(16,48,20)s(24,40,20)s(48,32,20)-*
s(32,40,20)c(24,40,20)t(24,56,12)-*
c(40,40,20)t(40,32,20)c(24,40,12)--
c(32,24,20)s(32,32,20)*c(16,40,12)-
s(48,48,20)c(40,32,20)+t(24,40,28)-
s(8,40,12)c(24,16,12)t(24,32,12)++
t(40,40,20)c(32,32,20)s(24,32,28)+*
s(32,48,12)s(40,24,28)t(32,32,12)-+
c(40,40,20)s(40,40,28)s(48,32,12)-*
c(32,32,28)s(24,24,28)s(40,40,12)-*
s(40,24,28)s(24,24,28)t(24,16,12)--
s(40,24,28)c(24,40,20)-c(40,40,20)+
t(24,32,28)t(32,32,12)t(48,16,12)++
t(24,48,28)s(40,40,28)s(24,48,20)*-
s(40,24,20)t(32,24,12)-t(40,48,20)+
c(24,32,20)s(16,32,20)+s(32,40,28)*
s(16,40,20)c(32,48,12)-s(24,40,20)*
t(24,48,28)s(40,32,28)*s(8,24,12)+
c(16,40,12)s(40,16,20)+t(24,32,28)-
s(24,40,28)t(32,40,20)-s(48,32,20)+
s(40,32,20)s(8,24,12)+s(24,32,20)*
t(24,48,20)t(32,48,28)s(32,40,28)**
s(40,32,20)s(24,16,12)+c(32,24,20)*
s(24,40,28)c(40,32,20)*c(48,24,12)-
s(24,40,20)s(32,32,28)*s(48,32,20)+
s(32,40,28)s(24,48,20)s(24,24,20)-*
c(40,32,20)c(40,40,20)*s(16,48,12)+
s(32,32,20)t(40,40,20)c(40,24,12)+*
c(32,32,28)s(32,32,20)-c(48,24,12)-
s(24,24,20)c(32,48,12)+c(24,24,20)*
s(32,24,28)c(32,24,20)c(16,40,12)--
s(40,32,28)s(32,40,20)*c(32,24,20)*
c(32,32,20)c(32,24,20)*s(32,32,20)*
t(32,40,28)s(32,16,20)-c(32,32,20)*
s(24,32,28)t(32,16,12)-s(16,24,20)-
t(24,40,12)s(32,48,12)+s(32,40,20)*
s(32,32,28)t(32,40,28)s(40,40,20)+*
t(24,24,20)c(40,16,12)t(32,24,12)++
s(24,32,20)s(32,40,28)s(40,48,20)-*
s(24,32,28)t(24,40,28)c(40,32,12)--
c(24,32,20)c(32,16,12)s(48,16,12)+-
c(16,32,12)s(32,40,28)s(40,24,28)*+
s(32,32,28)t(24,32,20)t(48,48,12)+-
s(32,16,12)s(32,40,28)s(32,24,20)-+
s(32,40,20)s(16,40,20)c(24,24,20)--
s(32,24,20)s(24,40,28)*c(40,24,20)*
s(24,24,28)t(40,40,20)s(40,32,20)*-
c(24,32,20)t(24,48,28)-s(32,40,20)-
s(24,24,28)c(32,32,20)c(16,40,12)-*
c(16,32,12)c(40,32,20)+s(24,32,28)*
s(24,48,20)s(40,16,20)t(24,48,20)+*
s(16,40,12)c(40,16,12)+t(32,32,28)*
s(24,24,20)c(32,24,20)t(24,16,12)-*
t(32,32,28)s(24,32,20)*s(24,24,20)*
t(32,56,12)s(40,16,20)s(48,32,20)-+
s(24,16,12)s(48,32,20)+s(24,16,20)-
s(40,48,20)s(24,48,12)-c(24,32,20)-
c(40,40,20)s(24,24,20)s(24,32,20)*+
s(40,48,20)c(32,32,20)+s(40,16,20)-
s(24,24,28)c(32,40,20)-c(24,32,12)+
s(16,32,20)s(48,40,12)s(8,16,12)+-
c(48,24,12)c(24,40,20)+t(40,24,20)*
s(40,32,28)s(32,32,28)*s(40,48,12)-
c(40,24,20)s(32,48,20)s(32,40,20)*+
s(40,32,20)t(40,56,12)c(32,32,20)+*
s(32,24,20)s(48,32,12)-s(16,16,12)-
s(32,24,20)c(40,32,20)*t(24,48,28)-
s(40,24,20)c(32,24,20)c(24,32,20)**
t(24,32,28)s(8,32,12)-c(32,40,20)*
s(32,32,28)s(32,16,20)t(32,24,12)--
t(40,24,20)t(24,48,12)+s(24,32,12)-
t(40,56,12)s(32,24,20)s(40,32,20)*+
c(40,40,20)s(24,40,28)t(40,24,20)+*
s(40,48,20)s(40,24,28)s(32,24,12)--
s(40,40,28)c(32,24,20)t(32,32,28)**
c(40,40,20)t(48,32,12)-s(48,40,20)*
t(32,48,28)c(32,48,12)-s(32,32,12)-
s(48,32,20)s(48,24,20)c(48,40,12)--
s(32,8,12)c(32,32,20)s(32,16,12)-+
c(40,24,20)c(48,24,12)-s(32,24,20)+
s(32,40,28)t(32,24,20)-s(32,24,28)*
s(32,48,12)c(40,32,20)c(48,48,12)-+
s(32,32,28)t(24,32,28)s(32,24,28)*-
s(32,24,28)s(40,32,20)-c(16,24,12)-
s(32,24,20)t(32,48,28)c(40,32,20)*+
t(32,40,28)s(16,24,20)s(24,24,20)*-
s(32,40,20)c(24,24,20)s(48,40,12)+*
c(24,24,20)s(48,40,20)-t(24,32,20)*
s(32,48,20)t(40,24,20)+s(24,32,20)*
s(24,32,28)s(16,40,20)c(32,32,20)--
c(40,40,12)c(16,48,12)+t(40,32,20)-
s(16,40,20)t(40,56,12)+t(24,48,28)*
s(32,32,28)c(40,40,20)*t(40,48,12)-
s(48,24,20)s(24,48,20)+t(32,40,28)*
c(32,32,20)s(24,24,28)*s(32,48,12)-
s(48,8,12)s(40,32,20)+s(16,40,20)-
s(24,48,20)s(32,32,28)*s(40,16,20)+
s(32,48,20)c(40,40,20)t(32,32,28)*-
c(32,24,20)s(32,40,20)+s(32,16,20)*
t(24,48,20)c(32,24,20)-s(16,32,12)+
c(16,16,12)c(48,16,12)+s(16,24,12)-
c(24,24,20)c(32,24,12)-s(24,32,28)*
s(40,32,20)c(40,16,12)-c(32,24,12)+
t(24,32,28)s(40,32,28)*t(32,40,20)*
s(40,32,28)t(48,40,12)-s(32,48,20)*
t(24,32,28)s(32,40,20)s(16,8,12)+*
c(32,40,20)s(48,40,20)-s(32,24,28)*
c(24,32,20)s(24,24,12)-s(48,24,20)-
s(48,40,20)s(32,24,12)+s(48,24,20)*
t(32,40,28)c(32,32,20)s(32,40,20)*-
s(48,40,12)c(40,24,20)t(32,32,28)*+
c(24,40,20)s(16,40,20)s(16,32,20)**
c(40,24,20)c(32,40,20)*t(32,32,20)*
s(32,48,20)s(48,48,12)s(48,8,12)+-
s(48,40,20)c(32,24,12)+t(32,56,12)+
s(40,32,28)s(32,48,20)s(40,40,28)**
s(32,16,12)s(48,32,20)c(32,24,20)-+
t(24,48,28)c(40,24,12)+t(24,24,20)-
t(24,24,20)s(16,16,12)s(32,16,20)++
s(24,40,20)c(40,40,12)+s(24,48,12)-
s(32,48,20)s(32,48,12)-c(32,32,12)-
c(24,48,12)s(32,40,20)+s(24,40,20)*
s(16,40,20)t(16,24,12)+s(32,32,28)*
c(32,40,20)s(48,16,20)s(40,24,28)+*
s(40,32,20)s(24,24,20)c(40,40,12)+*
s(24,40,28)s(32,40,28)s(40,32,20)**
s(32,48,20)s(24,40,28)t(32,32,20)*-
c(40,40,20)c(40,32,20)s(48,32,12)-*
c(40,40,20)s(32,48,20)+c(32,32,12)-
c(32,24,20)c(40,40,12)-s(24,16,20)*
c(32,32,28)s(32,48,20)c(40,32,20)*-
s(24,32,28)s(32,24,28)c(24,32,12)-*
s(40,24,28)s(32,32,20)c(16,40,12)-*
s(24,32,20)s(32,16,12)-s(48,40,20)-
c(24,24,12)c(16,24,12)+s(16,16,20)+
s(32,32,28)c(40,40,20)*c(32,32,12)-
t(40,24,20)c(32,24,12)s(8,16,12)++
s(8,32,12)s(32,16,20)+t(32,32,20)-
s(32,32,20)t(40,48,20)-t(32,32,28)*
c(32,32,20)t(24,48,28)s(40,40,28)*-
s(16,16,20)s(32,32,20)s(32,32,12)--
c(32,32,28)s(48,32,20)*s(24,24,20)-
s(32,24,20)c(32,40,20)s(40,24,20)--
t(24,24,20)s(24,40,12)+t(24,48,28)-
c(32,32,20)t(24,40,28)t(40,40,12)-*
c(24,32,20)t(24,40,28)*s(16,24,12)-
s(40,32,28)c(40,40,12)s(24,16,20)+-
s(32,32,28)t(48,40,12)-c(40,24,20)*
s(24,40,20)s(40,48,20)t(32,48,28)*-
s(24,32,20)s(32,32,28)c(40,40,20)*-
c(16,16,12)s(48,8,12)s(32,24,12)++
t(32,40,28)t(24,32,28)c(48,40,12)-*
s(40,48,20)s(32,40,20)*s(24,40,28)*
t(32,32,20)c(48,40,12)-c(40,32,20)*
c(24,16,12)c(40,48,12)+s(24,32,28)*
s(40,24,28)c(24,32,20)*c(32,16,12)-
s(16,40,20)s(32,32,12)-t(40,48,12)+
s(40,32,28)s(32,32,12)-s(24,32,28)*
c(32,24,20)s(32,16,20)t(40,32,20)+*
c(24,24,20)c(24,40,12)s(48,8,12)+-
t(32,32,28)s(8,40,12)+s(24,16,12)+
s(32,32,28)s(16,16,12)t(32,48,20)+*
s(40,24,12)s(24,8,12)+c(16,16,12)-
s(32,32,28)s(24,24,28)*s(16,40,20)-
s(16,32,20)s(40,40,28)t(32,48,28)*-
t(32,40,28)s(40,16,20)t(40,24,20)*-
t(40,24,20)s(32,24,20)+c(24,32,20)*
s(8,32,12)s(32,48,20)+t(24,32,28)*
c(24,32,20)t(24,48,20)-s(40,32,28)*
t(32,24,12)t(24,48,28)+c(40,40,20)*
s(32,40,28)t(24,32,28)s(16,40,20)--
t(24,32,20)s(32,8,12)+c(24,40,20)*
s(48,40,20)s(24,32,12)c(32,32,12)+-
s(24,32,28)c(40,24,20)*s(40,8,12)+
t(24,48,28)t(32,56,12)-t(16,40,12)-
s(48,40,12)s(16,16,12)+t(40,40,20)-
s(40,16,20)s(32,40,20)+c(24,24,20)-
s(32,40,28)c(40,32,20)*s(40,32,12)-
t(24,48,28)s(32,32,20)s(48,32,20)*+
c(24,48,12)s(16,40,20)s(16,32,20)*+
t(24,40,28)c(24,24,20)s(8,32,12)-+
c(32,24,20)s(40,24,28)*c(40,40,20)*
s(24,32,20)t(24,40,28)t(48,32,12)++
s(16,32,20)t(16,24,12)-s(24,40,12)-
s(40,24,28)s(24,24,20)s(40,24,12)--
t(24,32,28)t(24,40,28)s(40,32,28)*+
c(32,40,20)t(48,40,12)-s(40,24,12)-
s(24,32,20)s(32,24,28)+s(16,16,20)*
c(24,32,20)s(16,32,20)*c(24,24,20)*
c(32,40,20)s(48,32,20)s(48,48,20)+-
s(24,40,20)c(40,32,12)-s(40,48,12)+
c(24,32,20)s(24,24,12)-s(32,32,20)*
s(32,40,28)c(40,32,20)s(24,32,28)**
s(32,24,28)c(32,24,20)s(32,32,28)*-
s(24,32,20)s(32,40,20)t(24,24,12)--
t(48,40,12)s(16,32,20)+c(24,24,20)-
c(32,40,20)c(40,48,12)-t(24,40,20)*
s(24,48,20)c(32,40,20)*s(32,40,20)*
s(24,40,20)s(16,32,20)s(40,40,20)+*
s(40,24,20)s(32,16,20)t(16,32,12)+-
s(40,32,12)c(24,16,12)+s(32,24,20)+
s(40,32,28)s(24,32,28)s(32,32,28)*-
s(32,48,20)s(40,48,20)*t(40,48,12)-
s(48,48,20)c(48,32,12)-s(32,32,20)-
c(32,32,28)c(40,48,12)-s(48,48,20)-
c(40,24,20)t(40,56,12)s(40,40,12)+-
s(32,32,20)t(40,40,20)-c(40,16,12)+
c(40,40,20)t(32,48,20)*t(48,56,12)-
t(40,24,20)s(8,16,12)+c(24,40,20)-
s(24,24,20)s(48,16,20)s(32,16,20)*-
s(8,16,12)c(32,40,12)+c(24,24,12)-
c(32,40,20)c(16,40,12)-s(32,48,12)-
s(40,32,28)t(48,40,12)-t(24,40,28)*
s(40,24,12)c(40,32,20)c(24,32,20)-+
t(48,48,12)t(40,48,20)+t(32,32,28)+
c(32,32,28)s(24,24,20)c(16,32,12)--
c(40,32,12)s(16,8,12)+c(32,24,20)*
c(40,24,20)s(24,32,20)-c(40,24,12)-
s(24,40,12)t(48,56,12)+c(16,48,12)-
s(48,16,20)c(32,32,20)s(16,24,12)--
s(40,24,28)s(48,16,12)-c(16,16,12)-
c(32,32,28)t(32,40,20)t(32,32,28)*-
s(32,32,20)s(32,24,28)c(24,32,20)**
c(40,24,20)c(24,32,20)c(32,32,20)*-
t(24,48,20)s(16,32,20)+s(16,16,20)*
t(48,48,12)c(40,32,20)t(32,32,28)*+
s(24,24,20)c(24,40,20)t(32,40,12)-*
s(24,40,28)c(32,24,20)c(40,24,20)**
s(32,40,20)s(32,32,20)*t(24,32,28)*
s(32,40,28)c(32,24,20)*s(24,16,20)-
s(24,40,20)t(16,24,12)+t(16,48,12)-
s(24,32,20)s(16,32,20)*s(32,24,28)*
s(40,24,12)s(16,16,20)+s(40,24,28)*
s(16,16,20)s(40,48,20)t(24,48,28)*+
t(40,24,20)c(24,40,20)+s(48,48,20)-
s(32,40,20)c(32,48,12)-c(48,24,12)-
s(24,48,12)t(40,16,12)t(48,56,12)++
s(32,32,20)c(32,40,20)c(24,40,12)-*
t(24,32,28)s(8,40,12)-t(16,32,12)-
t(40,48,12)t(24,48,20)+s(32,32,28)*
s(32,40,20)s(32,32,20)*s(24,32,20)*
c(40,24,20)s(24,24,12)-s(40,32,20)*
t(32,32,28)s(24,16,20)+s(32,16,20)*
s(32,24,28)t(24,16,12)-s(24,24,20)*
s(32,24,28)c(32,40,20)c(40,24,12)-*
s(40,40,28)s(24,40,28)*s(24,24,28)*
s(24,40,20)t(24,32,28)t(40,32,12)-*
t(32,32,20)s(24,40,28)*c(16,24,12)-
s(24,32,20)t(16,24,12)-s(40,32,28)*
c(24,32,20)s(32,24,28)*t(32,32,12)-
t(24,32,28)c(16,24,12)+s(40,48,12)-
c(24,40,20)s(40,24,20)c(24,32,12)+*
t(24,32,28)t(24,56,12)+t(16,40,12)-
c(32,16,12)s(16,32,20)+c(32,40,20)*
s(24,40,28)s(32,24,20)s(40,32,28)*+
s(24,32,12)s(40,16,12)+c(32,32,20)*
s(24,32,20)c(40,32,20)c(40,48,12)-*
s(32,40,20)s(16,40,20)+s(8,40,12)-
s(32,32,20)s(40,24,12)c(32,24,12)+*
s(40,32,28)s(32,16,20)*s(40,8,12)-
t(16,48,12)t(40,32,20)+s(32,16,20)+
s(32,16,12)s(48,16,20)+t(32,40,28)-
c(24,40,20)s(8,40,12)-s(16,40,12)-
s(32,32,28)t(24,24,20)c(16,32,12)+-
s(32,24,20)t(24,32,28)*c(40,24,12)+
s(24,32,20)c(24,24,12)t(40,56,12)+-
s(32,48,20)c(24,40,20)*t(24,48,20)*
c(32,40,20)t(32,24,12)s(16,40,20)+*
s(24,32,28)t(24,40,20)-s(32,16,20)*
s(24,32,20)s(40,24,28)+s(24,40,20)-
s(32,32,28)c(32,40,20)t(24,48,28)**
s(40,16,20)s(24,32,28)s(8,48,12)--
s(24,24,20)c(32,24,12)s(40,32,20)+*
c(24,24,20)t(24,32,28)t(32,32,20)**
t(24,40,28)s(32,32,20)s(48,24,20)-*
c(32,40,20)s(48,48,12)-c(40,40,20)*
c(40,24,20)s(16,32,20)-c(32,32,20)*
s(40,24,12)t(24,40,20)c(24,24,12)-+
c(40,32,20)c(40,32,12)-c(24,24,12)-
s(24,32,20)s(40,24,28)t(24,24,12)--
s(16,32,20)s(40,40,20)+c(32,24,20)-
s(24,24,28)s(40,40,20)-s(32,24,28)*
s(24,40,28)s(32,24,20)*s(40,32,28)*
t(24,32,20)t(32,48,28)s(48,48,20)*-
s(8,32,12)t(32,48,20)c(48,16,12)++
s(40,40,20)s(40,40,28)t(48,32,12)-+
s(40,40,28)s(24,32,28)*c(24,32,20)*
s(48,24,20)s(32,32,28)+t(32,48,28)*
s(32,16,20)t(32,40,28)s(32,48,20)*+
s(40,32,20)t(16,16,12)c(32,40,20)+*
c(32,40,20)s(40,24,28)*t(32,40,12)-
c(24,24,20)s(16,16,20)-s(32,32,20)*
c(40,40,20)c(40,24,20)t(24,32,20)-*
s(32,24,28)s(32,40,20)s(16,48,20)-*
s(48,8,12)t(40,48,20)t(48,24,12)++
s(40,24,28)c(32,24,20)s(40,32,20)-*
s(32,24,28)s(40,40,20)*s(32,32,20)+
s(32,32,20)s(40,16,12)-s(32,40,20)*
s(40,32,20)s(40,48,12)-s(24,24,12)-
c(24,24,20)t(32,32,28)*s(8,24,12)+
s(24,16,12)s(40,48,20)+s(32,40,20)*
s(24,24,20)t(40,32,12)+s(40,40,28)-
s(40,40,20)t(40,48,12)-c(32,24,20)*
c(40,24,20)c(24,40,20)s(40,40,20)*-
s(40,32,20)s(40,24,20)*t(32,40,20)-
s(32,40,28)t(24,40,28)*s(32,24,20)-
s(48,16,12)s(16,40,12)+t(24,48,20)-
s(16,32,20)s(40,40,20)-t(24,32,28)*
t(32,40,28)t(24,48,12)-s(24,48,20)+
s(16,16,20)s(16,32,12)-t(24,32,28)-
c(32,24,20)s(48,40,20)+c(40,24,20)*
t(32,32,28)c(24,24,20)t(32,32,12)-+
s(8,40,12)t(32,40,20)+c(32,40,20)*
s(32,32,20)c(24,40,20)s(32,40,28)**
s(32,40,20)c(32,24,20)s(40,32,20)-+
c(24,40,20)s(24,32,12)-s(40,32,28)*
s(40,40,20)t(40,40,12)t(32,24,20)+*
s(40,32,12)c(16,40,12)+s(32,32,12)+
s(16,48,20)t(24,56,12)-s(40,24,28)+
t(16,24,12)t(40,24,20)+c(24,24,20)*
s(32,40,28)s(48,32,20)+c(40,40,20)-
s(24,24,28)s(8,32,12)-s(32,40,28)*
s(32,24,28)s(40,32,28)s(32,32,28)**
s(16,16,12)s(16,32,20)+s(16,8,12)+
c(32,32,20)t(32,48,20)+s(24,40,20)*
c(40,24,12)t(32,40,20)+s(24,48,12)-
s(48,24,20)c(24,40,20)s(16,48,20)--
c(32,24,20)t(24,48,12)+c(48,24,12)-
s(32,24,20)t(32,16,12)-s(40,32,12)-
t(32,40,12)c(48,32,12)+s(24,48,12)-
s(32,48,20)c(32,40,20)*s(48,40,12)-
c(24,24,20)c(40,32,20)*s(40,32,20)+
c(24,16,12)t(24,48,28)t(32,32,28)*+
c(32,24,20)s(32,24,20)s(24,16,20)+*
s(32,32,12)t(32,32,20)t(32,40,12)-+
c(40,32,20)s(32,24,20)s(16,24,20)*-
c(24,24,20)s(40,16,12)-c(32,40,12)-
t(32,32,12)c(24,24,20)s(24,16,20)*+
c(24,32,20)s(40,32,28)*s(40,40,28)*
s(24,24,28)c(32,40,20)*c(16,48,12)-
s(24,40,28)s(40,40,20)c(24,32,12)++
t(40,24,20)s(16,32,20)s(16,48,12)--
c(32,40,20)t(40,56,12)s(8,48,12)++
s(16,48,20)c(32,40,20)*s(8,40,12)+
c(32,40,20)s(40,32,28)*s(40,48,12)-
t(32,56,12)s(24,32,28)s(40,40,28)*+
t(32,48,28)s(32,24,20)+s(40,16,12)-
c(40,32,20)t(24,32,20)t(32,24,12)--
s(16,32,20)t(48,56,12)+c(40,32,20)-
c(32,32,28)s(32,48,20)*t(24,40,28)*
s(32,40,20)c(32,40,20)c(16,24,12)-*
c(40,24,20)s(40,32,28)s(8,32,12)+*
s(32,32,28)s(48,32,20)*c(40,40,12)+
c(40,40,20)t(32,48,28)t(24,40,28)**
c(32,40,20)s(24,32,20)c(32,32,20)**
s(24,40,20)s(32,40,28)s(24,32,20)**
s(16,16,20)c(32,40,20)+c(40,24,20)*
s(8,32,12)c(16,40,12)+c(32,40,12)-
c(32,32,28)s(24,32,28)c(24,24,20)-*
s(16,32,20)s(32,32,28)*s(32,32,20)*
c(32,32,28)s(24,32,28)c(24,24,20)*-
s(32,24,28)s(40,32,20)c(24,32,20)*-
c(40,24,20)t(48,16,12)-s(40,24,20)*
t(32,40,28)s(24,16,20)-s(32,32,20)-
s(32,24,20)t(24,40,28)t(24,48,20)*+
s(16,32,20)t(24,40,12)t(32,16,12)+-
t(24,32,20)s(24,40,20)+s(24,24,20)*
t(48,40,12)t(40,32,20)+c(32,24,20)*
s(32,48,20)t(32,40,12)s(16,16,20)+-
t(24,32,28)t(32,32,28)s(24,32,20)*-
s(40,32,28)c(32,40,20)t(48,24,12)+*
c(16,48,12)s(16,32,12)+c(40,48,12)+
c(40,40,20)s(16,24,20)+s(16,32,20)-
c(32,32,28)s(24,48,20)c(40,32,20)-*
t(32,48,28)s(40,40,20)s(24,32,12)-*
c(32,40,20)c(40,32,20)*t(32,40,28)*
s(24,40,28)c(40,32,20)+c(40,16,12)-
c(40,32,20)c(32,24,20)*s(40,24,20)*
t(24,32,28)c(32,32,20)*c(32,40,20)*
s(24,40,28)s(40,40,20)*s(32,16,20)-
s(16,40,20)s(24,32,28)s(16,16,12)-*
c(32,40,20)s(40,40,28)c(40,24,12)-*
c(40,40,20)s(16,32,20)s(32,48,12)+*
s(32,24,28)s(40,32,20)s(24,24,20)-*
s(40,40,28)s(40,24,28)t(32,40,20)-*
c(40,40,20)c(48,24,12)-c(40,32,20)*
c(24,24,20)s(8,32,12)+s(8,8,12)+
c(40,40,20)t(32,48,28)c(24,32,20)**
s(32,32,28)s(24,48,12)c(40,16,12)++
s(24,48,20)s(32,24,20)+t(40,24,12)-
s(48,16,20)s(32,16,20)c(48,40,12)+*
t(32,40,28)c(40,16,12)t(32,32,20)+*
c(40,32,20)s(40,24,20)s(48,24,20)*-
s(24,24,28)t(32,48,20)s(48,48,12)+-
t(48,24,12)s(40,48,20)t(24,40,20)-+
s(24,16,20)c(32,24,12)-s(48,16,20)-
s(40,24,20)s(24,8,12)t(32,40,28)+*
c(24,24,20)c(32,32,20)c(24,48,12)+*
s(40,16,20)t(24,16,12)-s(32,32,28)*
s(16,24,20)t(24,40,28)+t(24,48,20)-
s(48,16,20)s(48,32,20)t(40,32,20)*-
s(40,32,28)t(32,40,28)-c(32,32,28)*
s(48,40,20)c(48,24,12)-s(8,48,12)+
t(32,48,28)s(48,40,20)-s(48,48,20)-
s(32,32,28)s(40,48,12)-s(40,16,20)*
t(32,48,28)c(40,48,12)-s(16,48,12)-
s(32,32,20)c(16,40,12)-c(40,16,12)-
c(32,24,12)s(24,40,12)+s(48,24,20)-
s(40,32,20)s(24,24,20)-s(40,8,12)+
s(24,40,28)c(40,40,12)-s(16,24,12)-
c(40,40,20)c(40,32,20)*s(40,40,20)*
t(24,32,20)c(40,40,12)-c(40,40,20)+
s(40,48,20)c(24,48,12)-c(32,32,28)*
t(24,48,20)c(32,32,28)*s(32,32,12)-
s(16,40,20)t(32,40,28)+c(32,32,20)*
c(24,24,20)s(40,16,20)c(24,24,20)*-
c(24,24,20)t(32,40,28)c(40,24,20)*-
s(40,32,20)c(48,24,12)s(16,40,20)+*
t(24,56,12)s(40,24,20)+s(24,40,28)*
s(40,40,28)s(32,40,20)s(16,40,20)--
c(40,32,20)t(48,40,12)-c(24,32,20)*
c(32,24,20)s(24,24,28)*s(40,40,28)-
t(24,24,20)s(24,40,28)s(24,32,28)**
t(24,32,20)t(32,32,28)*s(16,24,20)+
c(32,40,20)t(32,32,20)-c(40,40,20)*
t(40,48,20)s(48,32,20)c(40,48,12)-+
s(48,16,20)s(48,24,20)*c(32,40,20)-
s(32,32,20)c(24,48,12)-c(40,40,20)*
s(32,40,28)s(48,48,12)-s(40,24,28)*
t(40,48,20)s(24,32,20)c(24,16,12)+-
t(32,56,12)t(32,24,20)+s(24,24,28)*
c(48,48,12)s(16,24,12)+s(48,48,20)*
s(32,32,20)t(16,40,12)+t(24,24,12)-
t(24,32,20)s(32,32,20)t(24,56,12)+*
s(48,48,20)c(40,40,20)t(24,24,20)-*
s(32,40,20)s(32,32,28)t(40,32,12)-*
c(32,16,12)t(32,32,28)+s(24,40,20)*
s(40,32,28)c(40,40,20)+t(32,32,28)-
s(40,40,20)c(32,40,20)t(32,40,20)--
s(40,40,20)s(24,40,28)*s(40,32,20)*
s(40,16,20)s(32,32,28)*s(32,32,12)+
c(32,32,20)t(24,40,20)-s(40,8,12)+
c(32,40,20)s(40,48,20)+s(48,48,12)-
s(48,32,20)c(48,16,12)-c(32,32,12)-
s(32,24,28)c(40,40,20)*t(40,32,20)*
c(24,32,20)c(24,40,20)*c(16,48,12)-
s(24,40,20)c(24,48,12)t(40,48,20)+*
t(32,48,28)s(24,32,12)+t(40,48,20)*
s(48,32,20)s(40,24,20)s(32,8,12)--
c(40,24,12)t(16,24,12)s(24,40,12)++
c(40,24,12)t(32,32,28)+s(40,16,20)-
s(48,24,12)s(40,40,20)+t(24,40,28)*
s(16,40,20)s(40,8,12)c(16,40,12)+-
s(32,32,20)c(48,40,12)-t(24,40,28)*
t(32,48,28)c(32,32,20)*c(40,32,20)*
t(32,32,28)t(32,40,28)s(40,40,12)-*
s(40,32,20)s(40,24,20)t(32,32,28)**
c(24,40,20)s(48,40,20)+t(40,32,12)-
t(32,40,28)c(24,32,12)-c(24,40,20)*
s(32,24,28)s(16,32,20)c(24,32,20)**
s(40,48,20)c(40,40,20)*s(32,48,20)*
t(40,24,20)s(48,24,20)s(8,40,12)+*
c(24,40,12)c(40,32,20)+t(24,40,28)*
s(24,40,12)t(48,56,12)+s(16,24,12)+
s(24,40,20)c(40,32,20)s(40,40,20)*-
s(40,24,28)c(40,40,20)*t(24,40,12)-
t(24,48,28)s(32,48,20)t(32,40,28)**
s(32,40,20)s(24,32,20)s(40,24,12)-*
s(32,32,20)s(48,40,12)-c(48,32,12)-
c(32,24,20)t(32,40,28)t(24,48,20)--
c(32,40,20)s(40,24,20)s(40,32,12)--
s(32,24,20)t(32,48,20)s(16,24,20)+*
s(32,40,20)t(32,56,12)+t(32,40,12)-
s(32,32,20)t(40,40,20)s(24,24,20)-+
s(16,48,12)t(32,48,28)+t(16,56,12)-
t(32,32,28)s(32,24,20)*s(32,8,12)+
t(24,40,28)s(32,40,28)s(24,48,12)-*
s(40,16,20)s(16,40,12)+t(32,32,28)-
s(48,48,20)s(8,40,12)+s(48,32,20)*
t(40,40,20)t(32,48,28)s(40,48,12)--
s(40,40,28)c(32,24,20)c(24,40,20)**
c(40,24,20)t(24,32,12)-s(16,40,12)+
s(32,24,20)t(40,32,20)s(16,24,20)+*
t(24,56,12)s(32,32,20)+c(40,32,20)*
c(40,32,20)c(24,16,12)+s(32,32,28)*
s(24,24,28)c(40,40,20)t(48,24,12)-*
c(24,32,20)s(32,48,20)t(24,48,28)*-
s(32,24,20)s(24,40,20)t(32,32,28)*-
c(48,16,12)c(48,32,12)+s(48,48,20)-
s(40,48,20)t(32,32,20)s(24,32,20)*-
s(24,40,28)s(32,24,12)-s(40,32,20)-
s(32,24,28)c(24,32,20)c(32,24,12)-*
s(40,24,28)c(24,24,20)*s(16,24,20)-
s(32,48,20)s(48,48,20)s(32,48,20)*-
t(24,56,12)s(40,24,28)+t(24,56,12)-
s(40,40,20)t(32,32,28)+s(24,48,12)-
s(32,24,20)t(32,48,28)s(40,40,20)*+
s(24,40,28)c(32,32,12)-s(48,48,20)-
t(48,56,12)s(40,24,28)+s(48,8,12)-
c(32,32,20)t(16,40,12)-t(24,40,20)-
s(40,40,20)c(40,32,20)s(24,40,20)-*
s(16,16,20)c(24,32,12)-s(16,24,20)*
s(32,16,20)s(24,24,28)s(24,32,12)-*
s(32,48,20)s(32,32,28)+c(32,24,20)*
t(32,32,28)c(32,24,20)s(40,32,20)**
t(48,32,12)s(32,32,28)s(48,40,12)-+
t(16,32,12)s(40,40,28)+s(48,48,20)*
s(40,40,20)s(40,32,20)t(32,16,12)-*
s(48,40,20)c(40,32,20)s(48,16,12)-*
c(32,24,20)t(24,32,28)*s(32,16,12)-
t(40,32,12)s(24,24,20)s(40,24,20)-+
s(16,24,20)c(24,24,20)s(24,32,20)**
s(24,32,28)s(32,16,20)s(40,24,12)-+
s(40,32,28)s(40,48,20)t(40,56,12)-*
s(48,8,12)s(32,48,20)+s(48,24,20)-
c(16,32,12)s(24,32,20)c(24,24,12)-+
s(32,24,20)s(48,24,20)c(32,32,28)**
c(40,32,20)c(24,32,20)*t(40,24,12)+
s(32,24,20)t(48,32,12)+s(16,16,12)+
c(32,32,28)s(24,32,28)t(32,40,28)-*
c(40,32,20)s(40,16,20)-c(40,32,12)-
c(40,32,20)c(24,40,20)s(24,32,28)**
t(24,40,20)c(40,40,20)s(24,24,28)+*
t(24,32,12)s(48,32,12)+s(16,40,12)-
s(32,48,20)t(40,32,20)s(16,32,20)--
c(40,32,20)c(40,24,20)*s(48,32,20)+
c(24,40,20)t(40,32,20)s(40,48,20)+*
t(24,32,28)s(32,32,20)c(40,24,20)**
s(40,24,28)c(40,40,20)*s(40,40,12)+
s(32,24,20)s(40,24,20)c(32,40,12)-+
s(32,8,12)s(16,32,20)+s(16,48,20)*
c(40,40,20)s(32,40,28)c(16,32,12)-*
c(24,24,20)s(24,16,12)-t(32,32,20)+
s(48,24,20)t(24,32,28)s(40,40,28)*-
s(48,48,20)t(24,32,20)+t(32,32,28)*
t(16,56,12)c(40,32,20)+t(32,48,28)*
s(40,24,28)c(24,40,12)-s(48,40,20)-
c(24,32,20)s(32,40,20)*c(32,24,20)*
s(16,16,12)c(48,32,12)+t(40,32,20)-
s(48,16,12)t(32,40,20)+t(32,48,28)*
c(32,32,20)t(40,16,12)-s(32,40,12)-
c(40,32,20)s(16,40,20)s(32,40,12)++
c(40,24,20)s(24,48,12)+s(48,16,20)*
t(32,48,28)t(32,32,28)s(8,16,12)+*
c(32,24,20)s(24,24,28)c(24,40,20)*+
s(32,24,20)s(24,32,28)t(24,32,12)-*
s(40,16,20)s(24,24,28)s(48,40,20)-*
s(24,40,28)t(32,48,20)c(40,40,20)*-
c(40,40,20)c(32,48,12)-t(32,24,12)-
t(24,32,20)s(32,32,28)s(48,40,20)-*
t(32,32,20)s(16,8,12)+s(32,40,12)-
s(32,16,12)t(16,40,12)+t(24,56,12)+
s(24,24,28)s(48,16,20)+s(48,8,12)-
c(40,40,20)c(24,32,20)s(40,24,12)-*
t(24,48,28)s(24,40,20)*t(24,48,20)*
s(40,48,20)s(32,40,28)t(24,48,28)*-
s(32,32,20)s(16,48,12)+t(32,40,28)*
s(16,24,20)t(40,48,20)+t(24,48,28)*
s(32,32,28)c(24,48,12)t(24,24,20)+*
s(40,8,12)t(24,40,12)+t(24,48,12)-
s(32,40,20)t(32,40,20)t(24,40,28)*-
s(16,48,20)s(24,40,12)-t(24,32,28)-
s(24,40,28)s(16,48,20)*s(40,40,28)-
s(40,24,28)s(24,32,20)-s(32,24,20)-
t(32,32,28)c(24,16,12)s(32,8,12)+-
s(16,48,20)s(32,40,28)+s(32,24,20)*
s(40,16,12)s(8,16,12)s(48,32,12)++
s(32,24,28)s(40,48,20)-s(32,40,28)*
c(32,32,20)s(40,24,20)t(24,32,28)-+
s(40,16,20)t(32,32,28)s(32,24,20)*-
s(40,24,28)s(32,32,28)*s(48,40,12)-
t(24,40,20)t(32,40,20)t(24,32,12)+*
s(40,40,28)c(32,32,20)*t(40,24,12)-
s(32,32,28)s(16,16,20)+t(24,48,20)-
t(40,56,12)c(32,48,12)+t(48,56,12)+
s(32,24,28)s(48,32,20)-t(32,24,20)-
s(24,40,28)c(32,32,20)*c(16,32,12)-
t(32,48,20)t(48,40,12)+s(32,32,28)*
t(32,32,28)c(32,40,20)t(32,40,28)*-
c(40,24,20)c(40,40,12)+s(24,32,20)*
s(40,16,20)s(40,32,28)c(24,40,12)-*
t(24,48,28)s(32,32,28)s(24,48,20)**
c(16,40,12)t(24,16,12)s(32,32,12)++
t(40,24,20)s(40,40,12)-t(24,40,20)-
t(24,48,12)c(32,24,12)+s(24,32,12)-
t(24,32,28)s(24,32,28)s(24,40,12)-*
s(48,32,20)c(48,32,12)-t(24,40,20)+
t(32,16,12)s(24,32,20)+s(16,48,12)-
s(24,40,20)s(48,24,20)+t(32,40,12)-
s(24,32,20)c(24,24,12)-t(24,24,20)-
s(32,24,28)s(24,24,20)s(16,16,20)**
t(24,32,28)s(16,40,20)s(32,32,20)-+
s(32,24,20)c(24,40,20)t(32,48,20)*+
s(48,8,12)s(24,16,20)t(24,24,20)*+
t(32,32,12)t(32,48,20)+s(48,24,20)-
t(24,32,28)s(32,48,20)c(24,40,20)*-
s(24,40,28)s(32,24,28)c(48,16,12)-*
s(32,48,20)t(40,56,12)-c(48,16,12)+
s(32,40,20)t(24,24,12)-c(24,40,20)*
t(32,40,28)t(32,32,28)c(40,48,12)-*
c(24,48,12)c(48,48,12)+s(24,40,20)-
s(40,32,20)s(48,16,20)-s(32,16,20)-
c(24,40,20)t(40,40,12)-s(32,24,28)*
s(24,24,20)s(40,32,28)t(32,48,28)*+
c(24,48,12)s(40,24,20)s(32,32,20)-+
s(24,24,28)s(24,32,20)t(32,32,28)*-
t(32,40,28)s(24,32,28)s(40,24,28)*+
s(48,48,12)s(24,16,20)t(16,56,12)++
s(40,40,28)s(48,24,20)*t(48,16,12)-
c(24,24,20)s(32,24,12)-c(40,32,12)+
s(32,48,20)c(24,40,20)s(32,32,12)-+
s(24,24,28)s(32,24,12)-s(24,40,20)+
s(40,24,28)s(48,48,20)c(48,48,12)--
s(24,24,20)t(24,32,28)s(24,40,20)-+
s(40,48,12)s(40,24,12)+c(24,24,12)-
s(32,24,20)s(32,32,20)c(24,40,20)**
c(32,40,20)t(40,40,20)t(40,48,12)--
s(40,40,20)s(40,32,28)s(40,24,12)-*
c(16,48,12)t(24,32,28)s(40,48,20)-+
c(32,40,20)c(16,32,12)-t(48,40,12)-
c(24,32,20)c(32,40,20)c(32,40,12)-+
c(40,24,12)c(24,32,12)+t(24,40,20)-
c(32,32,28)s(24,40,12)t(40,56,12)+*
s(40,40,20)c(32,40,20)c(16,48,12)-*
s(40,40,28)s(32,24,20)c(24,24,12)--
s(24,32,28)t(24,56,12)+s(48,32,20)-
c(16,24,12)s(32,24,12)+t(40,32,20)-
t(32,24,12)s(48,32,12)+s(16,16,20)-
s(40,32,12)c(16,48,12)+s(24,32,28)+
s(40,32,28)s(32,48,20)s(40,40,20)**
t(24,40,28)s(48,32,20)s(24,32,12)+-
s(24,24,20)t(24,32,20)*t(16,40,12)+
c(40,16,12)t(48,32,12)+c(40,40,12)-
c(32,32,20)s(24,24,28)*s(16,24,20)-
s(24,40,28)t(40,24,20)-c(16,40,12)-
s(40,32,28)c(40,32,20)s(40,40,28)*-
c(32,32,20)s(16,48,20)-c(24,32,20)*
c(32,32,20)t(24,32,28)*t(24,40,20)-
s(32,40,28)t(24,48,20)-t(24,32,28)*
s(24,24,20)t(40,32,20)c(16,16,12)+*
t(32,32,28)t(32,24,12)s(48,32,20)+*
t(24,48,20)c(24,40,12)s(40,48,20)+*
s(24,24,20)c(40,32,20)s(48,32,20)*-
t(48,32,12)s(24,32,28)+c(32,32,20)-
c(32,40,20)s(32,40,20)t(40,32,12)--
t(24,40,28)s(8,40,12)-s(24,40,12)-
t(24,48,28)t(16,48,12)s(40,40,28)++
s(16,40,20)s(24,32,12)-t(16,40,12)-
t(32,40,20)s(24,40,20)s(16,24,12)-*
s(32,40,20)s(16,40,20)s(32,40,28)**
t(24,48,28)s(24,40,28)s(8,24,12)-+
c(32,24,12)s(48,40,20)s(24,32,20)-+
c(32,40,20)s(24,40,28)t(32,32,20)--
s(16,16,20)s(24,24,20)*t(24,48,20)+
t(48,24,12)s(8,48,12)+t(16,56,12)-
s(24,40,28)c(32,24,20)s(48,16,12)+*
s(32,32,20)t(40,40,20)t(32,32,28)*-
s(16,48,12)s(32,48,20)+c(32,32,28)*
t(24,32,28)t(24,40,28)*c(40,48,12)-
s(40,24,28)c(24,32,20)s(24,16,20)*-
s(24,16,12)s(24,16,20)s(16,24,12)-+
s(16,32,20)t(24,16,12)-c(16,16,12)-
s(24,16,20)t(40,32,20)c(16,16,12)+*
s(24,24,20)s(40,16,12)-c(48,48,12)+
c(24,32,20)s(40,48,20)c(48,48,12)-+
c(24,24,20)t(16,24,12)-s(16,16,12)-
t(40,40,12)s(40,40,28)c(40,32,20)-+
s(24,32,20)t(24,48,20)+s(32,24,28)-
s(48,8,12)c(24,24,12)+t(24,40,12)+
s(32,24,28)s(40,40,12)-t(16,24,12)-
t(32,40,28)s(32,48,12)s(40,32,12)+-
s(16,16,20)s(32,24,12)-t(24,48,12)+
s(24,48,20)c(32,24,20)t(40,40,20)++
s(32,24,20)t(32,40,28)s(40,40,28)*-
s(40,40,20)c(40,32,20)s(32,32,12)-*
c(48,24,12)s(40,40,20)+t(16,40,12)+
c(32,24,20)s(40,32,20)*c(24,32,20)*
c(40,24,20)s(32,16,20)*t(24,24,12)-
s(24,32,12)s(40,24,20)+t(32,32,28)*
s(16,16,12)s(16,48,20)+s(48,40,12)+
t(24,32,28)s(32,32,28)+s(32,40,20)-
s(48,24,20)s(32,48,12)+c(32,24,20)*
c(16,48,12)c(32,32,20)t(40,40,12)-+
t(24,48,28)s(8,8,12)t(32,48,28)+*
s(32,24,28)c(24,40,20)s(8,48,12)-*
s(40,24,20)s(24,40,28)s(32,40,20)-+
s(24,16,20)c(32,24,20)t(48,24,12)-*
t(32,48,28)s(40,40,20)*s(40,48,20)*
c(40,40,20)c(40,48,12)t(24,40,20)+*
s(24,24,28)s(32,8,12)t(16,24,12)+-
c(24,24,20)t(24,40,20)-t(32,40,20)-
s(48,48,20)c(32,32,20)s(32,16,20)--
t(32,40,28)s(24,24,28)*c(24,24,20)*
s(40,40,28)c(24,48,12)-s(40,24,28)*
t(24,48,28)s(16,40,20)s(8,24,12)--
t(24,40,28)s(16,48,20)*c(32,32,28)*
t(16,48,12)s(40,40,28)+s(24,24,28)*
c(32,40,20)t(24,40,28)c(24,24,12)--
t(40,40,12)s(24,32,12)+c(16,40,12)-
s(24,48,20)s(16,40,20)s(32,40,28)**
s(32,40,28)t(24,32,20)-s(32,40,20)*
s(48,48,20)s(24,24,28)t(24,48,28)+-
s(24,48,20)t(32,48,28)*s(16,40,20)-
s(48,32,20)s(24,32,28)s(32,40,20)*-
t(24,32,28)s(8,40,12)s(48,32,20)+-
c(32,40,20)c(24,40,20)*t(40,48,20)-
t(24,16,12)c(40,24,12)+c(40,32,20)*
t(24,40,28)c(40,48,12)s(40,24,12)+-
t(32,40,20)t(40,56,12)t(32,56,12)+-
s(24,32,28)t(32,32,28)s(40,32,20)**
s(40,40,20)c(32,48,12)-s(24,8,12)+
c(40,16,12)c(16,16,12)+s(8,16,12)-
s(24,40,28)c(40,32,20)s(40,40,28)**
t(24,40,28)s(32,24,20)-s(16,48,12)-
c(32,40,20)s(16,16,20)+s(40,24,20)-
t(32,32,28)s(40,24,20)s(40,16,12)-*
s(48,32,20)s(40,40,20)s(40,24,20)*-
c(32,32,28)c(24,24,12)-t(40,40,12)-
s(48,16,12)t(40,32,20)+s(24,40,20)-
s(40,48,20)s(24,40,20)s(40,24,28)+-
t(32,48,28)s(24,48,20)t(32,48,12)-*
s(24,32,20)c(16,48,12)-s(40,48,20)-
s(32,48,20)s(32,40,28)c(40,32,20)**
s(24,32,20)t(24,32,28)c(40,24,20)-*
t(32,40,28)t(24,40,20)c(32,40,12)+-
s(24,32,12)s(48,40,12)+s(24,24,12)-
t(48,40,12)s(24,16,20)+s(16,8,12)-
c(24,40,12)t(40,48,12)+c(24,40,20)*
s(24,40,20)t(40,48,20)t(32,32,20)--
s(24,32,28)t(32,24,20)t(48,24,12)+*
c(32,32,20)s(40,40,20)s(8,40,12)+-
s(48,32,20)s(32,16,20)t(24,56,12)+-
c(32,32,20)s(16,48,20)s(8,32,12)+-
s(40,24,12)c(48,48,12)+s(32,32,12)-
s(32,16,20)s(24,8,12)s(48,32,20)+*
c(40,32,20)c(24,40,20)*s(40,16,20)-
s(48,16,20)s(24,24,20)t(24,32,20)*+
s(40,32,28)t(16,24,12)s(40,40,28)+*
s(32,40,28)s(32,32,28)*t(40,32,20)*
s(32,24,28)s(24,32,20)-s(16,32,20)+
t(32,32,28)c(24,32,20)*s(24,40,20)*
s(24,8,12)s(48,32,20)+s(40,40,12)-
s(32,32,20)s(16,24,20)-c(24,40,12)-
c(24,32,20)s(32,32,28)s(40,24,20)*-
s(32,40,28)s(48,48,12)-s(16,40,20)-
s(32,40,28)c(24,32,20)c(16,16,12)--
s(32,48,20)s(48,48,20)*s(24,24,20)+
c(32,32,20)s(24,16,20)+s(40,24,28)*
c(24,40,20)t(24,40,28)t(32,48,20)*-
s(32,24,28)s(40,32,20)c(24,24,12)+*
t(40,48,20)c(24,24,12)t(40,32,20)+-
s(40,32,20)s(24,48,20)-t(40,24,20)*
c(16,48,12)s(32,40,20)+c(32,40,20)*
c(32,32,20)t(16,48,12)+s(24,40,28)*
c(16,48,12)s(48,24,20)+s(32,24,28)*
s(48,32,20)s(40,24,28)s(32,32,28)**
s(48,24,20)s(40,32,20)c(24,40,12)-*
t(24,32,28)c(32,40,12)-c(24,32,20)*
s(32,16,20)t(40,40,20)s(24,24,28)+*
t(48,48,12)s(48,32,20)+s(32,24,28)*
c(24,24,20)c(40,24,20)*c(48,16,12)-
c(40,32,20)s(40,40,28)*s(24,32,12)-
s(24,32,20)t(24,24,12)-s(16,48,12)+
c(32,40,20)t(24,48,12)t(40,24,20)+-
s(48,24,20)s(16,40,12)+s(32,24,12)+
s(40,32,20)s(24,32,12)-c(32,32,20)*
t(24,48,28)s(24,32,28)*c(40,24,20)-
t(32,48,20)c(40,24,20)+s(40,40,28)*
t(32,40,20)t(16,24,12)s(48,48,12)+-
t(32,48,28)t(40,24,20)+t(40,32,20)*
s(32,24,28)s(24,40,28)c(40,24,20)*-
s(24,32,20)t(32,40,28)s(48,16,20)+*
s(40,48,20)c(40,24,20)+t(32,48,20)-
t(32,48,28)s(24,40,20)*s(32,24,12)-
s(16,16,20)s(32,48,20)s(24,40,20)+-
c(16,32,12)s(24,48,20)+t(24,32,28)-
s(24,32,20)t(32,24,20)s(8,16,12)+*
c(40,40,20)t(16,16,12)+s(24,32,20)-
t(32,32,28)c(48,24,12)-s(40,40,12)-
c(32,32,20)t(24,24,12)-t(16,40,12)-
s(24,40,28)s(32,40,28)s(40,32,28)*-
s(40,24,28)s(24,40,28)s(16,48,12)-*
c(32,16,12)t(32,32,20)+c(24,24,20)*
s(48,24,20)c(48,40,12)-c(24,32,20)-
s(40,40,28)c(48,48,12)-c(24,32,20)+
s(32,24,12)s(16,40,20)t(24,40,28)*+
s(24,16,20)t(40,24,20)t(32,32,12)--
s(32,40,28)c(40,40,12)-c(32,32,20)*
c(24,40,20)s(32,24,20)+c(40,40,20)*
s(24,48,20)s(40,40,28)t(40,40,12)-*
s(32,32,20)t(40,32,20)s(48,32,20)*+
t(40,56,12)s(32,8,12)+c(32,32,20)-
s(40,24,28)s(32,40,28)s(40,48,20)-*
c(24,24,20)s(48,24,20)-s(24,16,20)*
c(24,32,12)s(48,16,12)+t(24,32,28)*
s(40,24,20)s(24,8,12)+c(24,48,12)+
s(8,24,12)s(24,32,28)t(32,32,28)*+
s(16,32,20)s(24,16,20)s(32,16,12)--
s(24,40,28)t(24,48,20)-s(32,24,20)*
s(32,32,20)t(32,40,28)s(40,40,28)+*
c(40,32,20)t(24,48,20)-s(40,40,20)*
s(32,24,20)s(32,32,28)t(40,32,12)-*
s(24,48,20)c(40,32,20)s(32,16,20)--
s(32,24,20)t(40,32,12)-c(24,40,12)-
s(40,32,28)s(40,40,12)s(16,32,12)+*
c(32,32,28)s(24,24,12)-s(24,40,20)*
s(24,24,20)s(16,24,20)*t(16,16,12)-
s(40,40,20)t(32,40,12)-s(32,24,28)+
s(24,16,20)s(40,40,28)+c(24,32,20)*
t(16,56,12)c(40,32,20)t(32,48,28)*+
c(40,24,12)c(40,40,20)+s(40,48,20)*
s(32,32,20)s(40,40,20)*t(32,40,20)+
s(40,24,28)s(40,32,28)s(40,40,28)**
c(32,40,20)c(24,40,20)*t(24,48,20)*
s(40,40,28)c(24,40,20)t(24,40,28)*-
s(40,40,28)s(40,40,28)t(24,32,28)--
t(24,48,28)t(40,40,20)-s(32,8,12)+
c(24,40,20)s(24,24,28)*s(32,24,20)*
s(16,32,20)s(24,24,28)s(48,24,20)-*
c(32,32,28)s(16,16,12)-s(24,48,20)-
s(24,32,28)c(32,32,28)s(24,16,20)*-
s(32,16,12)c(32,32,20)s(32,16,20)*+
c(32,32,20)s(16,24,20)c(24,40,12)+-
s(48,40,12)s(40,8,12)+t(32,32,20)-
t(24,40,28)c(32,32,20)c(40,40,20)*-
c(40,32,20)s(24,40,20)s(32,16,20)--
c(32,32,20)c(24,24,20)s(8,32,12)--
s(24,16,20)s(32,24,20)-c(32,32,20)+
c(24,32,20)s(24,40,20)c(24,32,20)*-
t(32,48,28)s(24,48,20)*s(16,16,12)+
s(24,48,20)s(32,32,20)s(16,40,12)+*
s(40,8,12)s(48,24,20)+c(32,32,20)-
s(32,24,20)c(24,40,20)*t(32,48,12)+
t(24,32,20)s(8,48,12)c(32,24,20)+*
s(40,24,28)s(16,24,20)-t(16,56,12)+
s(40,16,20)s(48,48,20)s(16,24,12)++
t(16,40,12)s(40,40,28)+s(24,32,28)*
t(24,48,28)c(24,32,20)s(16,32,12)--
t(24,32,28)s(40,24,28)*t(40,40,20)+
c(24,32,20)s(16,16,20)c(24,24,20)*-
t(40,40,20)t(40,24,12)t(24,16,12)++
c(24,32,20)s(48,40,20)c(48,48,12)--
c(40,24,20)s(40,32,20)s(40,24,12)-*
c(32,24,20)s(32,40,20)t(24,48,28)*-
s(32,24,28)s(8,8,12)c(40,32,12)+*
c(32,32,20)t(24,40,20)-t(32,40,20)-
t(16,24,12)s(40,16,20)s(24,32,20)-+
s(40,8,12)t(32,32,28)+s(16,32,20)*
s(24,16,20)t(24,16,12)-c(24,24,20)*
t(48,32,12)s(40,48,20)+c(32,40,20)*
t(40,48,20)t(48,32,12)+s(40,24,28)+
c(24,40,20)s(32,32,28)*c(40,32,12)-
c(24,32,20)t(24,24,20)-c(24,24,20)*
c(40,48,12)s(24,48,20)+t(24,48,20)-
c(40,32,20)s(16,32,20)s(24,24,28)*-
c(40,24,20)s(40,40,28)c(40,40,12)-*
s(32,48,12)c(32,32,20)s(24,48,12)-+
c(40,40,20)t(40,48,12)-s(24,24,28)*
t(40,48,20)c(32,32,28)*c(48,32,12)-
t(24,32,28)c(24,24,20)s(40,24,12)-*
t(32,32,28)t(40,40,20)*t(16,32,12)+
s(40,24,20)s(40,32,28)s(24,40,20)-*
s(24,32,20)s(40,40,12)-s(32,48,20)+
s(16,32,20)c(32,48,12)+c(32,40,20)*
t(24,40,12)s(32,24,20)s(24,32,28)*+
c(24,32,20)s(40,40,28)*t(32,32,28)*
t(32,48,28)s(24,48,20)c(32,32,28)**
t(24,48,12)t(24,32,28)s(16,40,20)*+
c(32,24,20)c(32,40,20)c(24,24,20)*-
t(16,40,12)t(24,32,20)+t(16,16,12)+
t(24,40,28)s(32,16,12)s(32,32,20)+-
s(32,16,12)t(32,48,28)+s(40,24,28)-
s(24,32,28)s(16,48,20)+t(32,40,12)-
s(24,24,12)s(32,24,12)+s(40,16,20)+
c(32,40,20)s(40,24,12)-t(24,32,12)-
s(24,32,28)s(32,24,28)s(40,32,28)**
s(40,48,12)c(24,32,20)s(16,40,20)*+
s(16,16,20)s(48,16,20)s(48,8,12)-+
c(32,32,28)c(24,24,20)t(32,48,20)--
c(40,32,20)s(40,40,20)s(32,32,12)-*
s(32,32,28)c(40,24,20)*s(24,40,20)-
s(32,32,28)s(24,24,28)*t(24,40,12)-
t(40,24,20)s(24,40,20)c(16,48,12)--
s(40,40,28)c(32,40,20)s(40,48,20)-*
t(24,40,28)c(40,32,12)s(24,32,12)+-
c(40,24,12)s(40,40,20)+s(16,48,20)-
t(24,40,20)s(48,40,20)c(48,24,12)--
c(24,24,20)s(40,24,20)t(24,40,28)--
c(24,32,20)c(40,32,20)t(32,16,12)-*
s(16,48,12)s(40,40,20)+s(32,40,12)-
c(32,32,28)s(48,24,20)c(24,24,20)+-
t(32,32,28)s(24,24,28)c(40,32,20)*-
c(40,16,12)s(40,48,20)t(32,40,20)-+
t(24,48,28)t(32,48,20)c(48,16,12)+*
s(24,32,28)t(40,48,20)-c(40,24,20)*
s(32,40,20)c(32,32,20)*t(24,48,20)-
s(48,48,20)s(40,32,28)s(32,48,12)--
s(32,24,28)t(24,48,20)s(32,48,20)*+
c(40,48,12)c(48,16,12)s(24,32,20)++
s(40,24,20)s(16,32,20)s(32,48,20)--
c(40,40,20)s(40,40,20)c(32,32,20)+*
s(24,24,20)t(40,32,20)-t(24,32,20)+
c(24,24,12)t(40,32,20)+s(32,40,20)-
c(24,32,20)t(40,24,20)s(32,32,20)+-
s(32,32,20)t(24,48,28)-s(24,24,28)*
c(24,16,12)c(40,32,20)+s(32,32,20)*
s(24,24,28)s(40,16,20)-s(32,40,28)-
t(32,32,20)s(48,16,20)-t(48,32,12)+
s(16,40,20)c(32,48,12)-c(24,24,12)-
s(40,40,28)c(40,40,20)c(40,32,12)--
s(32,32,20)c(24,24,20)t(24,56,12)+*
s(24,24,28)s(32,48,20)+s(16,24,20)-
s(40,24,28)s(24,40,28)s(48,32,20)--
s(24,24,28)s(40,24,20)*c(40,32,12)+
c(40,16,12)t(32,32,28)+t(40,56,12)+
s(40,24,12)c(32,40,20)s(24,32,12)-+
s(32,40,28)s(40,40,20)s(48,32,20)**
c(40,32,20)s(16,24,12)+s(16,40,20)-
s(32,24,28)c(40,32,20)s(16,24,20)+*
s(32,24,20)c(24,24,20)c(16,16,12)-*
s(24,32,12)t(32,48,28)c(32,24,20)-+
s(40,24,20)s(16,24,20)-t(40,24,20)+
s(32,32,20)s(24,16,20)-s(32,40,20)*
c(32,24,12)s(40,8,12)+t(40,32,20)-
t(16,16,12)t(40,40,12)t(48,16,12)++
c(16,24,12)c(32,24,20)s(24,24,20)-+
s(40,40,20)t(40,24,20)t(40,40,20)-+
t(32,32,28)t(24,32,20)-s(32,24,12)-
c(40,32,20)c(32,32,20)c(24,24,20)**
s(32,40,28)c(16,48,12)-s(40,24,20)-
c(40,24,20)c(24,40,12)-t(40,56,12)+
s(40,32,20)s(40,8,12)+s(32,16,12)-
t(32,32,28)t(32,48,12)t(24,32,20)+-
s(32,24,28)s(24,32,20)*t(24,24,12)-
s(32,40,20)c(32,32,20)c(24,24,20)**
s(40,40,28)s(48,40,12)-s(24,32,12)-
c(40,24,20)s(32,16,20)s(48,16,20)*-
c(32,32,28)s(40,24,28)s(24,16,20)--
s(48,40,20)c(24,40,20)+c(40,32,20)*
s(32,24,20)s(24,32,20)*s(40,24,28)*
s(32,24,20)c(24,32,12)-s(40,24,20)*
c(24,24,20)s(24,32,20)*t(32,40,28)+
c(24,16,12)s(40,32,28)c(32,24,20)*+
s(40,40,12)s(24,32,28)s(40,40,12)-+
t(32,32,12)s(16,32,12)c(32,16,12)++
t(32,32,28)c(40,24,20)*s(24,32,28)*
s(32,24,20)t(24,40,20)+t(32,48,20)-
s(40,32,28)s(40,32,20)t(24,32,28)*-
c(24,32,20)t(32,32,20)-c(24,24,20)*
c(40,40,20)s(16,48,20)-s(32,48,20)*
s(32,40,28)t(24,32,28)*c(32,48,12)+
c(32,32,28)c(16,16,12)-t(32,40,28)-
s(32,40,20)t(24,24,20)-c(40,24,20)-
t(24,32,20)c(24,48,12)-s(24,24,20)*
c(24,40,12)t(32,16,12)+s(32,40,28)*
s(48,32,20)c(40,40,20)t(24,16,12)+*
s(24,24,20)t(24,32,28)*s(24,32,20)*
s(40,24,28)s(8,48,12)+s(40,40,28)*
s(24,40,28)s(48,32,20)+t(32,48,28)*
t(32,48,28)s(16,24,20)s(24,16,12)-+
c(24,40,20)t(32,48,28)*t(24,32,20)+
c(24,40,20)c(24,48,12)t(40,32,12)+*
t(32,40,20)t(40,16,12)+t(32,40,28)*
s(24,40,20)s(24,24,12)t(24,48,28)+*
t(24,48,28)c(32,32,28)*s(48,8,12)+
s(40,24,12)c(48,40,12)t(16,48,12)++
s(48,24,12)s(16,40,20)s(24,48,12)-+
t(40,40,20)s(16,40,20)-s(48,24,12)-
c(48,16,12)t(32,48,20)s(48,40,12)++
s(40,24,28)s(32,32,20)*t(24,32,28)*
s(32,24,28)s(24,16,20)t(32,48,28)+*
t(16,32,12)c(24,48,12)+s(16,16,20)-
t(16,32,12)c(32,24,12)+s(16,32,12)-
s(32,32,28)s(24,32,20)-t(40,40,20)+
t(32,32,28)t(24,40,28)*t(32,40,28)*
s(24,48,20)s(24,8,12)+t(24,40,20)+
s(40,40,28)s(24,32,12)-s(24,24,12)+
t(24,40,20)s(40,48,20)s(16,32,20)+*
t(32,40,28)t(24,24,12)+s(24,40,20)*
s(40,24,20)s(24,24,28)*c(48,24,12)-
c(40,32,20)t(40,40,20)s(40,24,12)--
s(16,24,20)c(40,48,12)s(40,24,20)+-
c(40,32,20)s(40,40,28)s(40,32,28)*+
s(48,48,20)c(24,32,20)c(16,32,12)--
t(40,32,12)s(40,24,28)c(24,24,20)-+
s(48,40,20)c(40,40,20)*s(32,32,28)+
s(16,32,20)s(32,24,20)s(24,32,20)*+
s(32,48,20)c(40,16,12)+s(40,32,28)*
s(40,40,28)t(32,48,28)-s(48,24,20)*
s(48,32,20)s(24,24,20)t(32,24,20)*-
t(24,40,12)t(40,24,20)+c(24,24,12)+
t(24,32,28)s(16,24,20)*t(48,16,12)+
t(24,48,12)c(24,16,12)+s(16,8,12)-
t(32,48,20)c(40,24,20)-t(24,16,12)+
s(32,32,28)c(32,24,20)*c(24,32,20)*
c(40,40,20)c(40,24,20)*c(32,24,20)*
s(40,40,20)c(40,40,20)t(24,48,28)-*
s(32,40,28)t(24,32,28)t(40,40,20)--
t(32,32,28)s(24,40,28)*c(40,24,12)-
t(32,48,12)c(32,24,12)+t(32,32,28)+
s(32,32,28)s(16,48,20)-t(40,40,20)*
s(48,48,12)c(24,24,12)+t(32,32,20)-
s(8,24,12)t(24,32,28)t(40,32,20)-+
s(40,24,28)t(32,32,20)s(40,48,12)--
c(32,24,12)s(24,48,12)+t(32,40,28)*
c(16,32,12)s(32,24,20)s(40,40,28)*+
s(40,16,20)c(40,24,20)+c(24,32,20)*
s(16,24,20)s(16,32,20)c(32,32,28)**
s(24,40,28)c(40,24,12)-s(24,48,12)-
t(24,32,20)t(40,40,20)-s(8,16,12)+
s(32,40,28)t(32,32,28)*s(16,32,20)*
t(32,48,28)s(32,16,20)+t(32,32,28)-
s(24,40,28)s(40,32,28)-s(16,24,12)-
s(32,40,28)t(16,48,12)-s(24,32,28)*
c(32,48,12)c(16,16,12)+s(32,48,12)-
t(24,32,28)t(32,40,12)-c(32,32,12)+
s(40,24,20)s(40,8,12)-t(40,32,20)+
s(48,32,20)s(40,32,20)t(48,24,12)--
c(24,40,20)t(40,40,20)t(32,32,20)+*
t(32,32,20)t(40,48,12)c(24,48,12)+-
s(24,48,20)t(24,48,28)*t(24,32,28)-
s(16,32,20)s(16,40,20)+t(32,32,20)-
s(40,32,20)c(48,16,12)-s(40,32,12)-
s(40,16,20)t(32,56,12)+s(48,40,20)-
c(32,32,20)s(24,32,20)*s(32,40,20)*
s(40,40,12)c(40,24,12)+t(40,48,20)-
s(24,32,20)s(32,40,20)t(32,32,28)**
c(40,24,20)c(24,24,12)-t(40,16,12)-
t(32,40,28)c(32,40,20)s(32,48,20)**
t(24,40,28)s(40,40,28)*s(16,48,12)+
t(40,16,12)s(24,24,20)+s(16,16,20)*
s(48,24,20)s(24,8,12)+t(32,32,12)+
s(16,24,20)s(32,32,12)-c(32,32,20)+
c(32,32,28)s(16,32,20)-t(32,48,20)*
c(32,40,20)s(40,16,20)-s(32,32,20)-
t(32,32,28)c(40,32,20)*c(32,16,12)-
s(24,32,20)s(40,32,28)s(32,24,20)*-
c(40,24,20)t(24,40,28)-t(32,32,28)*
c(24,32,20)c(24,24,20)*s(48,24,20)-
s(24,32,28)s(32,48,20)+s(24,16,20)*
c(32,24,20)t(48,40,12)t(16,32,12)+-
s(40,32,12)c(40,48,12)+c(40,32,20)*
s(32,24,28)s(24,24,28)*c(32,32,12)-
t(32,24,12)t(40,40,20)+t(24,24,20)-
c(32,32,28)s(16,32,20)*t(24,32,28)*
s(16,40,20)s(24,32,12)-s(24,32,28)+
s(32,40,28)s(24,48,12)c(16,24,12)+*
c(32,32,20)s(40,32,20)*s(48,32,20)*
c(32,32,28)s(24,24,20)s(16,40,12)--
s(24,16,20)t(24,24,20)s(24,8,12)--
t(32,24,12)c(16,16,12)c(16,48,12)++
t(40,48,12)s(40,24,20)+s(40,24,12)-
c(24,40,12)s(16,48,12)+c(24,32,20)*
s(48,32,20)t(16,32,12)+c(24,40,20)*
s(40,40,20)s(40,48,20)t(40,40,12)-+
s(16,40,20)c(32,40,20)s(24,24,28)*-
c(40,24,20)c(40,40,12)-c(32,32,20)*
c(32,24,20)t(32,48,28)c(24,40,20)*-
s(24,40,12)s(32,32,28)s(40,24,20)*+
t(24,40,28)s(16,16,20)t(24,40,28)-+
s(40,32,20)s(32,32,28)t(16,32,12)-*
c(32,32,28)s(32,32,20)-s(40,32,28)-
t(24,32,28)t(40,24,20)s(32,32,28)*+
t(24,48,28)s(16,48,20)t(24,40,20)--
s(40,32,28)s(16,40,20)c(40,24,20)--
s(40,32,28)s(32,24,28)t(32,24,20)-*
s(48,16,20)c(32,24,20)c(16,40,12)-*
s(32,40,28)s(40,32,20)-s(24,40,20)*
t(32,16,12)s(40,40,20)+t(32,40,20)-
s(32,16,20)c(24,32,20)s(24,24,28)**
s(48,40,20)s(32,40,20)*s(32,16,12)+
s(24,24,28)s(16,16,20)c(32,32,28)*-
s(32,24,28)c(40,24,20)*c(40,32,20)*
s(40,16,12)s(16,40,20)+t(32,32,20)-
c(32,32,28)s(32,24,28)c(40,32,20)-*
s(32,32,28)c(48,48,12)+t(40,48,20)*
s(40,32,28)s(48,16,20)*s(40,16,20)*
c(32,24,20)s(16,48,12)s(40,24,20)+-
c(24,32,20)c(16,24,12)-c(16,48,12)+
c(32,40,20)t(24,32,12)-t(24,32,28)*
s(24,48,20)s(48,32,12)+c(24,32,20)*
s(32,48,20)c(40,40,20)c(24,40,12)--
s(32,48,20)t(40,48,20)s(48,32,20)+*
s(32,32,20)c(16,24,12)-s(32,24,20)*
c(32,40,20)t(32,40,20)c(24,24,20)+*
s(24,40,20)t(32,32,12)s(48,48,20)+-
s(40,32,20)s(40,40,28)c(40,24,20)**
t(32,32,28)s(40,32,20)+t(32,48,20)-
t(32,32,28)t(32,32,28)s(40,24,20)*-
s(8,8,12)s(40,40,20)c(48,32,12)-+
c(40,24,12)s(40,32,20)t(32,32,20)*+
t(40,48,12)t(32,32,28)+t(32,48,28)*
s(32,32,28)c(32,32,20)s(48,48,12)+*
c(32,40,20)s(24,40,20)*c(24,24,20)*
s(40,32,28)s(40,24,28)*t(32,40,28)*
s(24,32,28)t(40,40,20)s(8,8,12)+*
c(40,16,12)t(16,40,12)+c(24,40,12)-
s(40,48,20)c(40,24,20)-t(24,48,20)+
s(40,40,28)s(16,32,20)s(16,24,20)*-
c(32,40,20)t(40,48,12)-s(40,40,28)*
t(32,32,28)c(24,40,12)-s(40,24,28)*
t(32,32,28)s(24,32,20)t(40,48,20)+*
s(24,24,28)s(40,40,12)c(16,40,12)+*
t(32,48,28)s(32,40,20)*s(32,48,20)*
t(24,48,20)t(32,24,20)+c(40,48,12)+
s(40,40,20)s(16,32,20)c(24,32,20)*-
s(40,40,28)t(24,32,28)*s(16,48,20)-
s(32,40,20)s(24,24,20)-s(48,32,12)-
c(40,24,20)s(32,24,20)s(48,40,20)-*
t(32,32,20)s(8,40,12)+s(32,32,20)*
t(32,48,28)c(32,32,20)s(8,8,12)+*
c(32,40,20)t(24,32,28)*c(24,24,12)-
s(32,24,20)s(40,48,20)t(40,40,20)*-
s(48,16,20)s(40,24,20)s(40,16,12)--
s(16,24,20)t(24,40,20)s(8,40,12)-+
c(40,40,12)t(48,24,12)+c(32,40,20)*
s(40,24,20)s(40,24,28)c(24,32,20)-*
c(32,32,20)s(40,32,20)c(24,40,20)-+
t(32,24,20)s(24,16,12)+s(32,16,20)*
s(48,40,20)c(32,32,20)*s(40,40,12)+
t(32,56,12)s(32,32,28)s(48,32,20)*+
s(24,24,28)t(24,40,28)-c(24,32,20)-
c(40,24,20)t(32,32,28)*s(32,40,20)*
c(40,40,20)c(24,40,20)s(40,40,20)*-
s(24,32,20)s(24,32,28)s(40,24,12)-*
t(24,32,28)s(16,24,20)s(32,24,12)--
t(24,48,28)c(24,32,12)-s(32,40,28)*
t(32,32,28)c(40,24,20)*s(32,48,20)-
t(24,40,28)c(32,32,28)t(24,24,20)-*
t(32,40,28)s(24,32,20)c(24,24,20)**
c(40,16,12)s(32,48,20)+s(24,40,28)*
s(24,48,20)s(32,40,28)t(32,32,20)-*
s(40,24,20)t(16,16,12)+s(48,32,20)*
s(32,40,28)c(40,32,20)*s(40,16,20)+
c(32,32,28)s(16,16,20)-s(24,32,20)*
c(32,32,28)t(24,40,20)-s(16,24,20)*
s(24,32,20)t(24,16,12)+t(24,40,28)*
s(24,40,28)c(24,24,20)t(32,24,20)-*
c(24,24,20)s(24,40,20)t(24,48,28)+-
c(32,24,20)s(24,32,20)c(24,40,12)--
s(24,32,20)t(24,32,12)-s(16,48,20)-
t(32,48,28)c(40,32,20)c(40,40,20)**
s(40,32,28)c(32,32,28)s(32,16,12)-*
s(40,16,20)s(48,24,20)s(8,40,12)+*
t(40,24,20)t(48,40,12)+c(40,24,20)*
c(32,40,20)s(32,32,28)c(24,40,20)**
t(40,40,20)s(32,16,20)s(32,24,20)*-
s(40,40,20)t(32,32,28)t(48,16,12)+*
s(24,48,20)c(40,24,20)c(32,32,20)-+
s(32,40,28)s(16,48,20)*s(24,40,20)+
s(16,32,20)s(40,48,20)t(24,32,28)+*
c(40,32,20)s(40,32,20)c(40,16,12)+*
s(40,24,28)s(32,40,28)c(48,48,12)-*
s(24,40,20)t(24,40,28)*s(40,40,12)-
c(40,40,20)t(32,40,28)c(32,24,20)--
s(48,40,20)s(40,40,20)s(24,32,12)+*
s(32,48,20)t(16,48,12)-s(48,48,20)*
c(32,24,20)t(32,32,28)*s(32,32,20)*
s(16,48,20)c(32,24,20)+s(32,24,20)-
s(24,48,12)c(40,24,20)+c(32,32,20)*
s(40,32,28)s(32,16,20)s(24,32,28)**
s(32,40,28)s(32,32,28)*c(24,48,12)-
s(32,40,20)s(16,40,12)+s(32,32,20)*
t(32,32,28)c(24,24,20)s(16,16,20)+*
s(24,40,28)s(32,40,20)c(16,48,12)-*
t(24,32,28)s(24,48,20)s(48,16,20)+*
t(24,48,28)s(40,48,20)*s(8,48,12)+
c(32,32,28)s(48,16,12)-s(40,16,20)-
s(24,32,28)s(40,32,20)c(48,40,12)-*
s(32,24,28)s(32,40,12)t(40,24,20)+*
t(40,56,12)s(40,40,20)t(40,32,20)*+
s(32,24,28)s(32,40,20)+t(24,40,28)*
t(32,40,28)t(24,32,28)c(16,48,12)-*
t(32,48,20)s(48,16,20)+s(40,48,20)-
s(32,24,28)t(24,32,28)s(40,40,28)**
s(16,32,20)s(16,16,12)t(48,16,12)+-
s(40,24,28)s(24,40,28)*s(40,16,12)-
c(32,40,20)s(40,48,20)*c(32,32,20)*
t(32,40,28)s(24,16,20)-s(24,48,20)*
c(32,24,20)c(24,48,12)c(40,32,12)+*
t(32,40,28)t(24,32,12)-t(32,40,20)*
t(32,32,28)c(32,24,20)s(32,40,28)*-
c(24,24,20)s(24,40,12)-s(16,32,20)*
s(48,40,20)c(32,24,12)+s(24,32,20)-
s(16,16,20)c(24,24,20)s(40,48,20)+*
t(24,48,28)t(32,48,28)s(40,32,20)-*
s(24,24,28)s(40,16,20)-t(32,24,12)+
s(16,32,20)c(24,32,20)s(40,32,12)-*
t(24,56,12)t(40,32,20)t(32,32,12)-+
c(24,24,12)t(24,48,28)+c(32,32,28)*
t(32,40,28)t(24,32,20)s(16,32,20)*-
t(40,48,12)s(24,48,20)+s(48,32,20)-
c(24,24,20)s(40,40,28)c(32,24,20)**
s(40,48,20)t(32,40,20)+t(32,48,20)*
t(40,40,20)c(32,32,20)s(32,40,20)**
c(32,24,20)s(16,32,12)+s(48,16,20)*
c(24,40,20)s(24,24,28)+s(24,48,20)-
t(32,32,20)s(48,48,12)+s(24,32,20)-
s(16,24,20)c(32,32,28)s(24,40,28)**
s(40,32,28)s(24,48,20)-s(48,40,20)*
s(24,24,28)t(48,40,12)+s(24,40,28)*
c(24,24,20)s(32,24,28)*s(24,24,20)*
t(24,32,28)t(32,24,20)-s(16,24,20)-
s(32,24,20)s(24,24,28)t(24,48,28)-*
c(24,32,20)s(32,48,20)s(32,24,12)+-
c(24,40,20)c(24,32,20)s(40,40,12)+*
t(32,48,20)c(40,24,20)s(32,24,28)*-
c(40,16,12)c(24,24,12)+s(32,40,12)+
c(24,32,20)s(24,24,20)*s(48,40,20)-
s(24,32,20)c(40,24,20)s(24,32,28)*-
c(32,32,12)t(32,48,12)+t(24,40,12)-
c(32,32,20)c(40,24,20)*s(24,40,20)+
t(32,32,20)t(32,48,12)+s(40,40,20)*
c(32,40,20)s(32,40,28)s(24,32,20)-*
s(48,16,12)s(24,48,20)+s(24,32,28)*
c(32,24,20)s(40,24,28)*s(24,8,12)-
c(32,40,20)s(24,24,20)-t(48,48,12)-
c(32,24,20)t(16,40,12)s(48,40,12)+-
t(24,40,28)s(16,24,12)-s(40,40,20)*
s(32,32,28)c(40,40,20)s(48,24,20)-*
s(24,32,28)t(32,32,20)s(8,48,12)+*
c(32,40,20)t(32,48,20)t(40,40,12)-*
s(16,32,12)t(24,32,20)s(48,48,20)-+
c(40,32,20)s(40,48,20)-c(40,16,12)-
t(24,48,20)c(24,24,20)s(40,24,20)*+
c(32,32,28)s(32,32,20)s(32,48,12)--
s(40,48,20)s(48,32,12)t(24,48,20)+-
s(32,32,28)t(32,24,12)s(16,24,20)+-
s(32,24,28)s(32,48,20)s(40,32,28)*+
s(32,40,20)s(48,32,20)t(24,32,20)+*
s(32,24,28)c(40,32,20)-s(48,8,12)-
t(48,40,12)t(40,32,20)+s(48,24,20)+
c(40,24,20)s(40,24,28)t(32,24,20)--
s(8,40,12)s(24,16,12)t(48,16,12)++
s(32,24,20)s(16,16,20)c(24,24,20)*-
c(32,32,28)s(40,24,28)*s(24,24,20)-
c(16,24,12)s(40,24,12)+c(24,32,20)*
s(32,40,28)t(32,32,28)*t(32,40,28)+
t(32,40,28)s(24,48,20)-t(24,40,20)-
s(32,40,20)t(48,32,12)t(24,48,12)+-
s(16,24,20)t(24,40,28)t(32,48,20)-+
s(32,40,28)s(32,40,20)-s(24,32,28)+
s(32,40,20)c(24,32,20)*t(32,32,20)*
s(40,40,20)s(48,48,20)s(24,24,28)+*
s(16,32,20)c(32,24,20)s(48,24,20)+-
c(40,32,20)s(32,48,20)c(32,16,12)+*
s(16,40,20)s(32,40,28)*t(24,32,28)*
c(24,32,20)c(32,32,20)s(16,32,12)-*
s(24,48,20)s(24,24,20)+s(40,32,28)-
s(16,40,20)c(24,24,20)c(32,24,20)*+
t(16,16,12)s(24,24,28)t(24,32,28)-+
s(48,32,12)c(16,32,12)+s(16,24,12)-
s(24,24,28)t(24,32,28)s(24,16,20)*-
c(40,40,20)c(40,40,12)c(40,16,12)+*
s(8,16,12)c(32,24,20)t(24,32,28)++
s(48,32,20)s(40,40,28)s(24,24,12)-*
c(24,24,20)s(32,40,28)c(40,32,20)**
c(24,24,20)s(32,32,20)c(40,24,20)**
s(40,16,12)s(48,32,20)+s(32,24,12)-
s(48,32,20)c(40,24,20)s(32,16,12)-*
s(24,32,28)s(24,24,20)s(40,32,28)++
s(40,48,12)t(24,32,12)+t(16,48,12)+
s(32,24,28)s(16,40,12)-t(32,16,12)-
s(32,40,20)s(24,24,20)t(32,24,20)-+
s(16,48,20)s(40,24,28)-s(40,32,28)-
c(32,32,20)s(24,32,28)s(16,24,12)-*
t(24,48,28)t(16,56,12)-t(40,40,20)+
s(16,32,12)s(40,40,12)+c(24,40,12)-
s(8,8,12)s(40,24,20)s(24,40,28)-+
s(16,32,20)s(24,32,20)*c(16,16,12)-
t(24,40,28)s(32,40,28)*s(48,40,20)-
s(40,32,20)s(32,24,28)t(32,16,12)-*
t(24,48,20)t(32,32,12)+t(32,40,20)*
s(40,24,28)s(24,16,20)c(24,24,20)+*
s(24,32,28)s(40,40,12)s(24,40,20)+*
s(48,24,12)t(24,32,28)t(24,24,20)-+
c(16,32,12)c(24,48,12)+s(40,24,12)+
s(48,40,20)s(40,24,20)c(40,40,20)*-
s(24,16,20)c(40,32,20)-c(32,32,28)*
c(32,40,20)s(24,40,28)*s(48,48,20)-
s(24,24,20)s(32,16,20)*t(24,40,12)+
t(16,32,12)s(40,8,12)c(24,48,12)++
s(32,40,28)t(24,48,28)t(16,56,12)-*
c(40,40,20)s(32,40,20)s(24,48,20)--
s(40,24,28)t(24,32,20)t(32,40,12)+-
s(32,48,20)c(40,32,20)c(32,32,20)*+
s(48,32,20)c(40,40,20)c(48,48,12)-*
t(32,40,28)c(24,40,20)*s(40,40,28)*
s(32,48,12)c(24,24,20)+s(16,40,20)-
c(32,32,28)c(40,32,20)s(32,24,28)*-
c(40,24,20)s(48,32,12)c(16,24,12)+*
t(32,48,28)s(24,40,28)t(32,48,20)--
s(32,32,28)s(32,24,20)c(40,16,12)--
s(32,16,20)t(16,24,12)s(32,32,20)++
s(40,32,28)c(24,32,20)+s(32,24,20)-
t(32,48,28)s(16,32,12)+s(48,48,20)-
c(32,24,20)c(40,24,20)*t(32,32,20)*
t(24,48,28)s(24,48,20)s(32,24,28)--
s(40,24,28)c(32,40,20)t(40,56,12)-*
t(24,24,20)s(24,40,28)*t(16,24,12)+
c(24,32,20)s(40,32,28)t(32,48,28)**
s(24,40,28)s(40,40,20)*s(48,24,20)-
c(40,24,20)s(16,32,20)-s(24,32,28)*
t(24,40,20)s(16,40,20)*t(40,24,12)+
s(32,32,28)c(24,40,12)-t(24,40,28)-
s(24,40,20)s(48,16,20)s(40,32,12)+-
c(24,24,20)c(32,24,20)s(40,32,28)**
t(32,32,28)s(32,24,20)*t(48,32,12)-
s(24,32,28)c(32,40,20)*s(16,48,12)-
c(24,48,12)t(40,40,20)s(48,16,20)++
s(16,40,20)c(32,32,28)*t(16,24,12)+
c(16,40,12)t(24,48,28)+t(32,48,28)*
s(24,40,28)s(48,24,20)-c(40,48,12)+
c(32,48,12)t(48,16,12)+t(24,32,20)-
s(16,32,20)c(32,32,12)-t(16,32,12)-
s(24,32,20)s(24,40,20)*s(40,40,12)-
s(48,32,20)s(48,32,12)s(24,32,20)+*
s(48,16,20)t(32,32,28)s(32,24,28)*-
c(40,40,20)s(40,32,20)*s(40,24,20)*
t(32,24,12)t(32,40,20)+c(16,48,12)-
s(40,48,20)s(24,40,20)t(24,48,20)-+
t(32,32,28)t(48,40,12)c(16,48,12)+-
s(32,40,28)s(24,40,28)s(16,48,20)**
c(48,16,12)s(24,40,20)+s(32,40,20)*
t(32,40,20)s(24,40,28)s(16,48,12)-*
s(32,24,28)s(40,32,28)c(24,40,20)-*
t(32,48,20)t(24,48,28)s(16,16,12)+*
c(32,40,20)c(24,40,20)*c(32,32,20)*
s(24,24,20)s(32,24,20)s(40,8,12)-*
s(24,16,12)c(32,40,12)+c(32,32,20)*
c(32,32,20)s(40,16,12)+c(24,40,12)-
t(16,32,12)t(32,48,28)c(32,32,20)*+
s(16,24,20)s(32,24,20)s(32,24,12)-+
c(24,32,20)t(24,40,20)s(24,24,12)-*
c(40,32,20)s(48,32,20)*s(48,16,20)-
t(24,40,20)s(40,48,12)s(40,8,12)+-
c(32,32,20)s(40,32,28)s(48,24,20)*+
t(24,40,20)s(32,40,28)t(16,32,12)-*
s(32,16,20)t(48,40,12)+s(40,32,28)*
s(16,32,20)s(32,32,28)*c(16,24,12)+
s(24,32,28)s(24,40,12)t(40,16,12)+*
c(24,40,20)t(32,48,20)t(32,40,28)*-
s(32,32,28)s(32,40,28)c(40,40,12)-*
c(32,32,20)c(40,32,20)s(32,48,12)-*
t(48,56,12)t(48,16,12)s(32,24,12)++
c(32,48,12)s(48,24,20)c(40,32,20)*+
c(40,40,20)t(24,56,12)+c(32,32,20)-
c(32,32,28)t(40,48,20)*s(24,32,20)-
s(40,32,28)s(24,32,28)s(32,24,28)**
c(32,24,20)s(40,40,12)t(40,24,12)+*
c(40,24,20)s(16,32,20)s(24,24,20)*-
c(40,40,20)c(40,24,20)*s(32,24,28)*
s(24,40,28)c(32,24,20)*c(40,16,12)-
s(32,32,28)s(16,24,12)-s(32,24,20)*
s(40,24,28)s(40,16,20)-s(24,40,12)-
t(40,16,12)s(24,24,12)+s(48,24,20)+
s(40,40,20)c(32,40,20)*s(40,24,28)*
s(24,32,28)c(32,32,28)t(24,48,28)**
c(32,24,12)t(24,56,12)+s(40,40,28)*
t(24,40,28)c(24,40,20)c(40,40,20)**
t(24,40,20)s(24,16,20)s(24,8,12)--
s(24,32,20)t(24,16,12)+c(32,24,20)*
s(32,40,28)t(32,40,20)-t(40,32,12)-
s(16,32,12)t(40,40,12)+c(48,48,12)+
t(24,40,28)c(32,48,12)t(16,40,12)+*
t(32,40,28)c(40,40,12)-t(32,48,28)*
c(24,32,20)c(40,32,20)c(40,40,12)--
s(40,40,12)t(24,24,20)+s(32,40,28)*
s(40,24,28)s(40,40,20)-c(32,24,12)-
s(24,32,28)t(40,24,12)-c(32,32,20)+
s(40,32,28)s(32,24,12)-c(32,32,20)-
s(40,40,28)c(32,32,20)*c(48,40,12)-
c(32,24,20)c(32,32,20)t(24,32,28)**
s(32,24,20)s(24,16,20)*t(24,24,20)+
s(32,24,28)s(24,40,28)t(40,40,20)--
s(32,32,28)t(24,24,20)s(16,16,12)+-
c(40,40,20)c(32,32,20)c(32,24,20)*-
t(32,32,28)c(24,24,20)c(32,40,12)-*
c(32,32,28)c(48,48,12)-s(32,32,20)-
t(24,40,28)s(32,32,20)c(32,40,20)**
t(24,32,28)s(32,48,20)s(24,40,20)*-
s(24,32,28)s(16,48,20)*c(24,40,12)+
t(24,32,28)t(16,48,12)+s(32,16,12)-
c(40,40,20)c(40,32,20)*s(40,40,20)*
s(40,8,12)t(24,40,20)+s(40,24,28)*
s(40,40,20)c(24,32,20)*s(24,32,20)+
c(40,48,12)s(24,40,28)c(24,40,12)-+
c(32,24,12)t(24,40,12)+c(40,32,20)*
c(40,32,12)s(24,24,20)s(40,24,20)*+
s(16,24,20)c(16,48,12)+t(16,56,12)-
s(24,40,28)t(32,48,28)*s(32,32,20)*
c(32,32,20)c(24,48,12)-c(16,40,12)-
s(16,40,20)s(16,40,12)s(40,40,28)+*
s(8,8,12)c(24,40,20)t(24,32,28)*+
s(40,32,28)s(24,24,28)*s(24,40,20)+
c(32,32,28)s(16,40,12)-s(40,24,28)-
s(40,40,28)s(32,24,20)-c(40,32,12)-
s(32,24,20)t(32,40,28)t(32,48,12)--
s(16,40,20)s(40,24,20)c(32,24,12)-+
t(48,56,12)s(40,32,28)+s(40,48,20)*
s(40,24,28)s(32,32,12)-s(32,40,28)*
s(40,24,20)t(32,32,20)t(32,40,12)--
s(24,24,28)t(40,24,20)-t(24,24,12)-
s(40,48,12)c(32,24,20)s(40,40,28)*+
s(48,32,20)s(32,40,20)c(24,40,20)*-
s(32,40,20)c(40,48,12)-s(16,32,12)-
c(24,32,20)s(32,32,28)s(40,16,20)-*
c(40,40,20)s(32,48,20)t(24,40,28)*-
c(24,32,20)s(16,16,20)s(40,40,28)-+
t(24,32,12)s(24,16,20)+c(32,24,20)*
t(32,40,20)c(24,32,20)s(8,32,12)-*
c(24,32,20)s(40,40,28)*s(40,32,12)-
s(48,24,20)s(16,32,12)+s(24,40,20)-
s(32,24,20)s(40,32,20)*s(40,40,28)*
t(24,32,28)s(32,40,20)t(32,48,28)*-
s(8,24,12)s(24,48,12)+t(32,48,12)+
t(32,32,28)s(40,16,20)t(24,40,28)+*
s(32,40,28)c(32,24,12)-s(32,24,28)*
t(32,48,28)t(32,40,20)s(32,32,20)*-
t(40,24,20)s(24,24,28)c(40,24,12)--
s(48,40,20)c(32,24,12)-s(32,48,20)-
c(24,32,20)c(32,48,12)-s(32,24,20)*
s(48,24,20)s(48,16,20)c(24,24,20)+*
c(32,16,12)c(32,40,20)s(32,32,12)-+
t(40,56,12)c(16,48,12)+s(40,48,20)+
s(24,24,20)s(16,32,20)*s(8,40,12)-
c(32,24,20)c(16,40,12)-s(48,32,20)*
s(24,24,28)c(32,16,12)-s(16,32,20)-
t(32,32,28)t(32,40,20)-s(40,32,28)*
s(32,40,28)s(48,32,20)s(40,32,20)**
s(24,40,28)t(40,48,12)-c(32,32,28)*
s(40,40,28)t(32,32,20)s(40,32,20)*-
s(40,24,28)c(32,24,12)-s(40,40,28)*
t(24,32,28)s(32,40,28)s(24,40,12)-*
s(32,24,28)s(32,32,12)s(16,40,12)+*
s(8,24,12)s(32,40,20)s(40,32,28)*+
c(32,40,20)s(32,24,12)-s(24,40,28)*
c(32,40,20)s(24,40,28)c(40,24,12)+*
s(40,40,20)t(40,32,12)-s(48,16,20)-
s(32,40,20)s(16,32,12)+c(16,24,12)+
c(40,32,20)t(32,48,28)t(40,56,12)-*
c(24,24,20)c(24,32,20)t(24,32,12)-*
t(32,40,28)s(32,8,12)t(24,32,12)+-
c(32,32,20)s(48,24,20)s(32,16,12)--
s(32,32,28)s(24,32,20)-c(48,40,12)+
t(32,40,28)c(40,40,20)+c(40,24,20)*
s(24,40,20)s(32,32,28)+s(40,48,20)-
s(48,32,20)c(40,24,20)t(24,48,28)-*
t(32,24,20)s(32,48,20)-c(40,40,12)+
s(32,40,20)s(24,48,20)s(16,48,20)*-
t(32,32,28)t(24,32,12)-c(24,40,20)*
c(32,24,12)t(40,24,20)+s(40,32,12)-
s(32,16,20)s(24,40,28)s(32,40,28)*-
s(24,40,20)t(24,32,20)*t(24,16,12)+
s(32,16,12)s(40,16,20)c(40,32,20)*+
c(40,48,12)s(24,48,20)s(24,32,20)*+
t(40,40,20)c(40,40,20)s(48,24,20)*+
t(48,32,12)s(24,24,12)+t(40,40,12)+
s(48,32,20)s(24,24,20)-t(32,16,12)+
s(32,32,28)s(24,32,28)s(24,40,28)**
s(24,32,28)s(32,48,12)s(24,24,12)+-
t(32,32,28)s(40,24,12)-s(40,40,28)+
c(24,24,12)t(40,40,12)+t(48,48,12)+
s(32,48,20)c(16,24,12)+t(24,48,20)*
c(24,32,20)s(24,40,12)s(40,48,20)+*
c(32,32,28)s(24,40,28)s(40,40,20)*-
s(48,40,12)c(48,16,12)+t(48,48,12)-
s(48,32,20)s(48,24,20)*s(32,48,20)-
s(48,16,20)s(32,40,20)+t(40,32,20)*
t(40,48,20)s(48,32,12)+s(48,24,12)-
s(48,48,12)c(32,16,12)t(40,32,12)++
s(24,32,28)t(40,40,12)t(24,40,20)+-
s(24,32,28)s(40,24,28)*s(32,40,12)-
s(24,48,20)c(40,48,12)c(16,48,12)+*
t(32,40,28)c(32,32,28)s(24,40,28)**
c(32,40,20)t(40,24,20)t(40,40,20)-+
t(24,40,28)s(24,32,28)s(32,24,28)*+
s(16,40,20)s(48,16,12)+s(16,48,20)-
t(24,40,28)t(32,32,28)s(32,40,20)*+
s(24,16,20)s(8,48,12)c(24,32,20)+*
s(16,32,20)s(24,16,20)s(32,40,28)+*
t(32,32,28)c(16,48,12)-t(32,40,28)*
c(24,40,20)t(24,40,20)-s(16,40,12)-
t(40,40,20)s(40,48,20)s(24,24,20)+*
s(16,24,20)s(40,24,20)s(24,24,28)*-
s(40,32,28)c(32,40,20)t(40,24,20)+*
c(16,16,12)s(40,40,28)s(48,40,12)-+
c(32,48,12)s(48,32,12)+s(8,24,12)+
s(32,40,28)s(48,24,20)t(32,48,28)+*
s(40,24,28)s(16,32,12)t(40,16,12)++
c(24,32,12)s(48,40,20)t(32,32,20)-+
s(32,40,28)s(40,40,28)*s(16,48,20)-
t(32,40,20)s(40,40,12)+t(32,48,12)+
s(32,16,20)c(40,16,12)-c(40,24,12)-
c(32,32,20)s(32,48,20)s(32,32,20)*-
s(40,48,20)s(16,48,20)+s(16,32,20)*
s(32,40,20)c(24,32,12)c(48,24,12)+*
c(40,40,20)c(40,24,12)-s(24,24,20)-
s(40,32,28)c(40,32,20)c(32,24,20)--
t(24,48,28)t(40,40,12)+s(24,24,28)*
t(32,40,20)s(16,24,20)s(32,24,28)*-
s(32,32,28)c(32,40,20)*c(24,24,20)+
s(40,24,20)s(48,16,20)t(32,40,28)+*
s(32,40,12)s(24,32,20)s(40,32,20)*+
s(40,40,28)s(16,16,12)c(32,32,20)+*
c(24,32,20)s(24,40,28)*s(16,32,12)-
s(32,32,28)c(40,16,12)-s(16,32,12)-
s(24,32,28)s(16,48,12)-t(24,32,28)-
s(40,16,20)s(40,40,20)s(48,16,12)+*
s(24,24,28)t(24,24,20)-s(24,32,12)-
s(40,8,12)s(32,32,20)+t(32,40,20)*
t(24,48,12)s(24,24,28)s(40,32,20)*+
t(40,16,12)s(32,40,28)s(40,32,28)*+
s(48,48,20)s(40,32,28)t(40,32,12)--
s(32,40,28)s(32,48,12)s(8,48,12)+*
s(40,32,20)c(40,32,20)s(40,24,28)**
t(32,40,28)t(24,40,28)s(24,48,20)*-
s(40,32,20)t(24,32,28)t(24,24,20)--
c(24,24,20)s(8,8,12)s(16,24,20)+*
c(40,24,20)s(16,48,12)c(48,32,12)+-
t(40,48,20)c(40,24,20)s(24,32,28)*-
s(32,24,20)t(24,40,28)s(16,32,20)*-
t(32,32,28)s(40,32,20)s(32,40,28)*-
s(48,48,20)s(40,40,20)*s(8,32,12)+
t(40,40,20)s(40,48,20)c(40,40,20)*+
s(32,40,20)t(24,48,28)*c(40,40,20)+
s(24,24,28)t(16,48,12)s(16,32,20)+-
s(32,16,20)c(24,24,20)t(32,32,28)**
c(32,40,20)s(48,32,20)s(16,32,20)+*
c(32,32,20)c(16,16,12)-s(48,24,20)-
s(32,32,20)t(16,40,12)-c(40,32,20)*
s(16,24,20)c(40,24,20)+s(32,40,20)*
s(32,40,28)s(24,48,20)t(32,32,12)-*
s(48,40,20)c(32,40,20)s(16,32,20)+*
s(48,24,20)s(24,40,12)+c(40,32,20)*
s(40,40,12)t(40,24,20)+t(32,24,20)+
c(32,40,20)t(24,48,28)t(24,56,12)-*
t(40,56,12)t(32,24,20)c(48,24,12)-+
t(40,40,20)c(24,32,12)+s(40,24,20)-
t(32,32,20)c(48,24,12)+c(40,40,20)+
s(32,24,28)s(16,24,20)-t(32,24,20)-
t(32,32,20)s(32,32,28)s(32,24,12)-+
c(32,32,20)c(32,32,20)c(32,32,12)--
s(32,40,28)s(40,40,28)c(40,24,12)-*
s(32,40,20)t(40,48,20)t(40,32,12)--
c(40,40,20)s(48,40,12)-s(40,40,12)+
c(24,32,20)c(24,24,12)s(48,48,20)+*
c(32,40,20)s(48,48,20)-s(24,40,20)*
s(32,32,12)s(48,40,20)s(32,24,20)-+
c(32,24,20)t(24,32,12)-s(16,24,12)-
c(40,40,20)s(16,16,12)+s(40,40,12)-
t(16,40,12)s(32,40,20)c(24,32,20)*+
t(24,24,20)s(32,24,20)c(40,32,20)*+
s(16,32,20)t(16,56,12)+t(32,32,28)*
s(32,24,20)t(40,56,12)+s(48,24,20)*
t(24,40,28)s(24,40,12)t(40,24,20)+-
s(24,40,28)s(48,24,20)-t(16,24,12)-
s(48,32,12)s(24,8,12)+s(40,16,12)+
s(40,24,20)s(32,32,20)t(24,48,20)-*
s(40,32,20)s(40,32,28)s(24,48,20)-*
c(24,32,20)c(40,40,12)t(32,32,20)+*
t(24,48,28)t(32,48,12)-c(32,40,20)*
s(48,48,20)s(40,40,28)t(32,40,28)*-
t(32,32,28)c(40,16,12)-c(32,40,20)*
t(24,32,28)s(32,16,20)c(32,32,28)*-
s(32,32,28)c(32,40,20)*c(24,24,20)-
s(32,32,20)t(32,40,28)c(32,24,12)--
c(32,40,20)s(32,32,28)t(24,32,20)-*
s(16,32,20)t(16,24,12)s(32,32,20)+*
s(24,24,28)c(32,32,20)*s(40,32,20)*
s(48,8,12)t(24,40,28)+c(32,32,12)-
t(32,48,28)s(32,32,20)c(40,40,20)**
s(16,32,20)c(24,24,12)s(8,40,12)+*
s(32,40,28)s(32,16,20)t(32,32,28)*-
s(32,24,28)t(24,16,12)s(32,16,12)+-
s(32,40,28)c(40,24,20)*s(48,24,12)-
s(40,24,28)s(32,24,12)-s(40,16,20)*
c(32,40,20)s(24,32,28)*s(40,32,28)*
s(32,48,20)t(24,40,28)s(40,32,28)**
s(48,40,20)c(32,32,28)t(32,40,20)-*
s(16,48,12)s(40,16,20)+t(24,40,20)-
t(32,32,28)c(40,32,20)c(32,24,20)**
c(32,32,28)s(32,40,20)t(16,56,12)+*
s(40,16,12)c(32,40,20)+t(24,40,28)-
c(24,24,20)c(48,40,12)c(24,32,12)+*
s(40,32,28)s(24,24,12)-c(48,40,12)-
t(24,40,20)s(24,16,12)s(32,16,12)++
s(40,32,28)s(32,32,28)s(48,48,20)+*
s(48,24,20)s(48,32,20)s(40,24,28)**
s(16,24,20)s(24,32,28)c(16,48,12)-*
s(24,32,20)s(40,32,20)c(32,32,20)**
t(32,40,28)c(24,32,12)t(32,40,12)+*
s(8,40,12)c(32,24,20)c(32,16,12)-+
s(24,16,20)s(16,32,20)+s(32,32,28)*
c(48,24,12)s(24,48,20)+s(40,48,20)*
c(24,40,20)t(40,40,12)-s(24,24,20)*
t(32,48,28)c(32,32,28)s(16,32,20)*-
t(24,40,28)t(24,56,12)+t(32,48,28)*
c(32,24,20)c(24,16,12)-s(16,32,12)-
t(40,40,12)t(48,40,12)c(40,24,12)++
s(24,16,20)t(16,24,12)-c(32,24,20)*
c(40,40,20)c(16,32,12)+c(48,32,12)-
s(40,32,28)s(48,16,20)c(24,24,12)++
s(16,16,12)t(40,32,20)+s(40,40,28)*
s(32,16,20)c(40,40,20)-s(32,32,12)+
s(40,32,28)c(16,32,12)c(48,48,12)+*
s(24,48,12)t(24,48,28)s(24,32,28)-+
s(40,32,28)s(48,16,20)s(40,32,20)--
c(16,16,12)s(24,16,20)s(32,24,28)*+
t(40,32,20)s(32,24,20)t(32,32,20)+*
s(40,48,20)s(48,16,12)+t(32,24,20)+
c(24,24,20)s(24,40,20)-t(32,40,20)+
s(32,32,28)s(24,32,28)*s(24,48,20)*
s(16,40,20)s(40,32,20)s(8,40,12)+*
s(24,32,20)s(8,32,12)-t(32,32,28)*
s(40,32,28)c(24,24,12)-s(40,24,12)-
t(32,24,20)c(16,48,12)+s(48,16,20)-
c(32,32,20)c(40,24,20)*s(40,40,20)+
s(40,24,28)c(40,32,20)t(32,16,12)-*
c(16,40,12)s(32,32,20)s(16,16,12)++
s(32,16,20)s(40,32,20)t(48,40,12)--
s(24,24,28)c(32,24,20)-s(16,48,12)-
c(32,40,20)s(24,32,28)*t(40,16,12)+
t(32,32,28)s(24,32,28)*s(24,48,12)-
s(48,48,20)c(32,24,20)c(40,24,20)*-
t(32,40,20)s(40,40,20)c(40,24,12)+*
s(32,24,28)s(40,40,20)s(32,48,12)-*
c(40,24,20)s(40,40,20)*c(32,40,20)*
t(24,32,20)s(24,32,20)c(24,48,12)-*
s(32,32,28)t(16,40,12)-t(16,24,12)-
t(24,40,28)c(16,16,12)s(32,40,28)+*
s(40,24,12)s(16,16,20)+c(24,40,20)-
s(16,16,20)s(16,16,12)-s(40,32,28)-
s(48,24,12)t(32,48,28)+s(32,40,20)*
s(24,40,20)c(32,24,12)+s(40,24,28)*
t(48,48,12)s(32,48,20)s(48,16,12)++
t(32,40,28)t(24,40,28)+t(32,32,20)-
c(24,24,20)c(40,32,20)s(16,16,20)+*
c(24,40,20)s(40,32,28)c(48,16,12)-*
t(24,32,28)c(24,24,12)-s(32,24,28)*
s(40,32,28)c(24,40,20)*s(48,40,12)-
s(8,40,12)s(32,32,28)s(40,32,28)*+
s(16,32,20)s(40,24,28)s(24,32,12)--
t(32,32,28)s(40,32,20)c(32,32,20)+*
s(48,48,20)s(24,48,20)s(16,32,12)--
s(24,32,28)s(24,32,12)t(16,24,12)+-
c(32,24,12)t(32,56,12)+s(24,48,20)-
s(24,40,20)s(16,48,12)s(16,32,12)+*
s(32,48,20)s(32,48,12)-s(40,32,12)-
t(32,40,28)c(32,40,20)*s(24,40,28)*
c(16,24,12)t(40,32,20)+s(24,32,28)*
c(32,24,20)t(32,32,12)-s(24,16,20)*
t(24,32,28)s(24,40,12)-s(24,32,20)*
c(40,16,12)t(24,32,28)t(32,32,20)*+
s(32,24,20)t(40,32,20)c(32,32,12)+*
s(48,32,20)c(48,40,12)-t(48,16,12)-
c(24,32,20)t(32,32,28)*s(40,40,28)*
c(32,24,20)s(40,24,20)*s(32,32,12)-
s(24,32,28)c(24,24,20)t(24,24,20)-*
t(24,48,28)s(16,48,20)*c(32,32,20)-
c(32,24,20)t(24,32,28)*t(40,32,12)-
t(24,48,20)s(32,40,12)+c(24,32,20)*
c(32,32,20)c(48,32,12)t(16,40,12)+*
s(32,40,20)t(32,40,12)-t(32,48,28)*
c(24,40,20)c(24,32,20)s(40,32,28)*-
s(24,40,28)s(8,40,12)-t(32,32,20)*
s(40,40,20)c(24,24,20)c(32,40,20)*+
c(32,32,28)t(24,48,28)+c(24,16,12)-
s(48,16,20)c(40,32,20)c(40,24,20)**
s(24,16,20)c(24,24,20)*t(24,32,12)-
s(48,32,20)s(24,24,20)c(32,16,12)+-
s(32,24,12)t(32,48,28)c(24,40,20)*+
s(40,32,12)s(48,24,20)s(48,16,20)*+
t(40,40,20)s(40,32,20)t(32,32,28)**
s(40,40,20)c(32,24,20)-t(40,40,12)+
s(48,32,20)s(32,32,12)c(24,24,12)++
c(24,32,20)s(16,24,20)s(16,16,20)*-
s(32,40,28)t(32,32,28)s(40,24,28)*-
s(48,32,20)t(32,56,12)+s(24,40,28)*
s(40,24,20)s(24,24,20)s(32,48,20)-+
s(32,48,20)c(32,40,12)-c(32,32,20)+
t(24,40,20)c(40,48,12)-c(16,16,12)+
t(24,48,28)t(32,48,28)*s(32,48,20)*
c(32,32,20)s(24,24,28)s(24,48,20)-*
s(24,40,20)c(16,40,12)-s(48,32,12)+
s(24,40,28)s(40,40,20)t(40,32,12)-*
s(48,48,12)t(32,40,28)s(24,32,20)-+
s(24,40,28)c(40,40,20)*s(40,32,12)-
c(24,32,20)s(48,32,20)c(40,40,20)*-
s(40,40,28)c(48,24,12)c(24,32,20)+*
s(40,40,20)s(32,24,28)c(24,32,20)+*
t(24,48,28)s(24,40,12)-s(48,16,12)+
s(48,32,20)s(48,40,20)t(48,56,12)+*
s(48,40,20)t(40,32,20)s(24,16,12)+-
t(16,32,12)s(16,16,20)s(24,24,28)*+
s(40,48,20)t(32,48,12)-t(24,40,28)-
s(16,32,20)c(32,24,20)s(24,32,28)**
s(32,40,20)c(24,40,20)*t(32,32,28)+
s(24,48,20)t(40,40,20)c(48,24,12)--
s(32,32,28)c(24,40,20)*s(40,24,28)*
s(40,24,28)c(32,32,20)*s(24,32,28)*
c(40,32,20)s(24,48,20)-s(32,16,12)+
t(32,48,28)s(48,16,20)s(48,32,20)*+
c(24,32,20)t(40,32,20)-t(24,48,28)-
s(16,32,20)c(40,24,20)-t(16,48,12)+
c(32,40,12)t(16,40,12)+s(40,40,28)*
s(16,24,20)s(40,40,28)-c(32,32,28)*
t(32,32,28)s(24,24,20)c(32,32,20)+*
c(40,24,20)t(40,32,20)-s(40,40,20)+
c(24,32,20)s(40,48,20)-s(40,32,28)-
c(32,32,20)c(40,40,20)*t(40,48,20)-
c(40,32,20)t(24,40,20)s(8,48,12)++
s(32,16,20)s(40,24,28)t(32,16,12)-*
s(40,32,28)c(40,16,12)t(16,56,12)+-
c(40,24,20)s(16,16,20)-s(40,16,12)-
s(24,24,20)s(40,40,28)c(40,24,20)+*
t(24,40,20)t(24,48,28)s(24,48,20)**
s(24,32,28)s(40,8,12)+s(48,16,20)*
c(32,40,20)c(24,40,20)s(32,32,28)**
s(24,40,28)c(40,40,20)*s(40,40,20)*
s(24,32,12)s(48,40,12)+s(40,40,12)-
t(32,32,20)t(16,24,12)s(40,40,28)+*
s(40,40,20)c(32,24,20)*c(40,16,12)+
c(32,40,12)s(8,8,12)+s(40,32,28)*
t(32,40,28)s(32,40,12)c(32,24,12)+*
s(40,48,20)t(40,48,20)t(40,32,20)+*
s(40,40,28)s(24,48,20)*c(40,16,12)+
s(48,16,20)s(24,24,28)-c(40,24,12)+
s(32,40,28)t(40,24,20)t(16,16,12)+-
s(32,40,28)c(24,40,20)*s(16,16,20)-
s(24,32,28)s(32,40,20)t(40,24,12)-*
s(16,16,12)c(48,40,12)+c(48,48,12)+
c(32,32,20)s(40,24,20)t(40,24,12)-*
c(32,32,28)s(40,16,20)s(48,32,12)--
s(24,40,28)c(32,24,20)*s(40,40,28)*
t(48,24,12)t(40,32,20)s(48,24,12)-+
s(48,40,12)t(16,16,12)c(24,16,12)++
s(40,40,20)s(32,48,20)+s(24,32,28)*
s(48,16,20)s(48,48,12)+t(40,48,20)-
s(16,40,20)t(24,40,20)s(16,24,12)--
s(24,40,28)t(32,40,28)-s(24,48,20)+
s(32,24,28)s(48,32,20)-s(32,40,28)*
t(32,40,28)s(40,40,12)-t(32,24,12)-
c(32,32,20)t(24,40,28)s(8,40,12)--
s(8,8,12)s(40,32,28)s(40,40,28)*+
t(24,32,12)s(40,48,20)c(48,24,12)++
s(32,40,20)s(40,32,20)t(48,24,12)-*
c(24,32,20)c(40,48,12)c(24,40,12)+*
t(48,24,12)t(32,24,20)+s(40,16,20)*
t(24,32,20)s(40,32,28)c(40,40,20)--
t(24,48,20)c(24,40,20)c(32,40,20)**
s(32,24,28)s(24,16,20)c(24,32,12)-*
s(24,24,28)s(40,32,20)-s(40,8,12)-
t(40,24,20)s(40,40,28)*t(32,56,12)+
s(40,32,20)s(24,32,12)-s(40,48,12)-
s(24,48,20)t(32,24,12)+s(40,24,28)-
c(32,40,20)c(24,32,12)-t(48,32,12)-
s(32,40,20)s(32,48,20)*t(32,48,12)-
s(8,8,12)t(24,32,20)+s(24,32,28)*
s(16,32,20)t(40,32,12)+s(24,40,28)*
t(24,40,28)s(32,48,20)t(16,48,12)-+
t(24,48,28)c(24,32,12)-c(32,16,12)+
c(24,40,20)t(16,24,12)s(40,48,12)+-
s(16,24,20)s(8,8,12)-s(40,32,28)-
s(40,48,20)s(40,40,12)c(32,40,12)+-
c(32,24,20)c(16,24,12)-s(24,8,12)-
s(40,24,28)s(32,40,28)*t(32,40,28)*
s(48,40,20)s(24,48,12)+c(32,24,12)+
s(32,16,20)s(24,48,20)s(16,16,20)+*
s(24,32,28)t(40,24,20)-s(24,48,20)*
t(48,56,12)s(32,40,20)+s(40,40,20)+
c(48,24,12)c(32,32,20)+s(40,24,20)*
s(24,32,20)c(16,48,12)+c(40,24,20)*
t(24,32,28)t(32,32,28)c(16,24,12)-*
t(24,16,12)s(48,16,12)+c(40,24,20)*
c(32,32,20)t(24,32,12)s(32,48,20)+*
t(40,56,12)t(32,32,28)+t(24,48,28)*
s(48,16,20)s(48,48,20)+t(32,48,20)-
s(48,24,20)s(48,16,20)t(48,40,12)+*
s(32,48,20)t(40,48,12)-s(48,32,20)-
t(24,48,28)t(32,40,20)s(16,24,20)+*
s(24,24,20)s(32,16,20)*s(40,40,28)+
s(32,24,20)s(40,16,12)-t(24,32,28)*
c(24,40,12)s(32,16,12)+t(32,32,28)*
c(32,32,20)s(24,40,12)s(48,48,20)+*
s(40,32,28)c(32,24,20)*t(32,24,20)-
c(24,32,20)t(16,56,12)+s(24,24,20)*
s(24,24,20)s(24,8,12)-s(16,32,20)*
c(16,40,12)t(32,48,28)+s(40,40,28)*
c(40,32,20)t(40,16,12)-t(32,48,12)-
t(32,32,28)s(40,40,20)s(32,24,28)*-
s(32,48,20)t(24,40,12)-t(32,32,12)-
s(32,40,20)s(40,32,28)*s(40,40,12)-
c(32,32,28)c(24,32,20)s(32,40,28)*-
s(40,48,20)s(24,32,20)+c(32,40,12)-
s(40,24,28)s(24,32,28)*t(32,40,28)*
c(40,24,20)c(32,24,20)*s(24,32,20)*
s(40,24,28)s(32,24,28)s(16,40,20)-*
s(16,32,12)c(40,24,12)t(16,32,12)++
t(24,40,28)s(24,32,20)s(48,32,20)-*
s(32,32,20)t(32,48,28)t(32,40,28)**
t(24,48,28)t(40,40,20)c(16,40,12)+-
s(48,32,20)s(48,16,20)s(48,24,20)*-
s(40,32,28)t(32,24,12)-t(48,24,12)-
s(40,32,20)s(32,24,12)t(40,40,20)+*
s(40,48,20)t(32,40,28)*s(32,32,28)*
s(24,32,12)s(48,40,20)+s(24,16,20)-
t(24,16,12)s(32,32,28)s(32,16,12)-+
t(32,40,28)s(48,40,20)-t(16,40,12)+
t(40,40,20)t(32,40,12)-c(24,32,12)+
s(40,48,20)s(48,32,20)t(32,48,20)--
s(40,24,28)t(32,32,28)c(24,40,20)**
t(32,48,28)c(32,40,20)c(32,48,12)-+
t(32,24,12)s(48,16,20)s(48,32,20)-+
s(24,48,20)s(32,40,20)c(24,24,20)--
c(24,32,20)t(32,32,28)+c(32,16,12)-
t(24,40,28)s(16,48,20)s(24,40,28)*-
s(40,40,20)s(32,32,28)s(32,40,28)**
s(32,24,28)c(16,48,12)+s(24,40,28)-
s(48,16,12)c(24,32,20)s(32,32,20)*+
s(16,40,20)s(40,32,28)-s(24,32,20)+
t(24,40,28)c(32,32,12)s(40,24,20)+-
s(24,32,20)t(24,40,28)s(16,24,12)+*
c(24,40,20)s(32,32,28)c(48,48,12)-+
s(32,24,20)c(16,48,12)c(48,24,12)+-
s(32,32,20)s(48,24,20)+c(40,24,20)*
s(40,40,20)t(48,40,12)c(32,24,20)+*
t(32,48,12)c(16,40,12)s(16,16,20)++
c(40,24,12)c(24,40,20)+s(24,24,20)*
c(40,40,20)s(48,32,20)s(40,40,28)**
s(32,32,28)s(16,48,20)s(32,40,20)-+
s(32,32,20)s(24,48,12)-s(24,24,20)*
s(32,24,28)t(24,24,12)-s(40,40,20)*
t(32,32,20)s(40,16,12)-s(32,48,12)-
c(24,32,20)s(24,40,12)-c(40,24,20)*
c(32,24,20)s(48,40,12)t(24,24,20)+*
s(40,16,20)s(32,24,20)c(32,32,20)*-
s(40,48,20)t(32,48,28)s(24,48,20)**
c(40,32,20)t(32,32,28)c(32,32,20)**
s(32,24,28)c(48,24,12)t(40,40,12)+*
c(24,32,20)s(40,24,20)-s(48,16,12)+
c(40,24,20)s(24,24,20)s(32,40,12)+*
t(32,40,28)s(24,32,20)+s(40,48,20)*
c(40,32,20)t(40,40,12)-t(32,32,20)+
c(32,32,20)s(16,32,20)*t(40,24,20)+
s(16,40,20)t(24,40,28)*t(24,24,20)+
s(32,32,28)t(24,40,20)-s(40,32,20)*
s(8,40,12)t(24,40,12)+c(16,40,12)+
c(32,32,20)c(40,32,12)s(40,40,12)+-
c(24,24,20)c(32,24,20)c(24,40,20)-*
c(32,32,28)c(16,48,12)-s(24,32,28)*
s(40,32,28)t(16,16,12)+s(24,40,28)-
s(24,32,28)s(40,16,20)t(48,48,12)+-
s(32,32,20)c(40,40,20)*s(40,32,20)*
s(48,32,12)t(40,24,12)+c(40,24,12)+
s(16,24,12)c(48,40,12)+s(24,32,12)+
c(32,40,20)s(32,24,28)*s(24,40,28)*
s(40,40,28)s(32,32,20)*c(40,40,20)*
s(32,24,28)c(32,32,20)s(32,40,20)**
s(32,40,28)s(32,32,28)s(32,24,28)*-
s(40,32,20)s(32,40,28)*c(16,16,12)+
s(48,48,20)c(24,32,20)+c(24,32,12)-
s(40,40,20)s(32,24,28)s(40,8,12)-*
c(32,32,20)c(40,16,12)+s(32,40,20)*
t(24,32,28)t(32,48,28)c(24,40,12)-+
s(24,48,20)t(24,56,12)s(40,24,28)+*
s(24,40,20)s(8,40,12)-t(16,48,12)-
t(48,48,12)c(24,40,20)s(32,32,20)*+
s(24,40,28)s(24,24,28)s(40,48,20)--
s(24,48,20)s(40,48,20)s(40,32,20)*-
s(32,32,20)s(16,16,20)+s(24,32,28)-
t(24,40,28)c(40,16,12)+c(24,48,12)-
s(24,32,28)s(16,32,20)s(40,32,28)-*
s(16,48,20)c(24,48,12)-c(32,40,20)-
s(32,24,28)t(24,32,20)-s(16,16,12)-
c(24,32,20)s(40,32,28)s(40,48,12)-*
c(40,40,20)t(32,40,12)t(32,32,20)+-
s(40,40,20)t(32,40,28)t(32,32,28)*-
s(32,24,28)t(32,32,28)*s(40,32,28)*
s(16,32,12)s(48,24,20)+c(40,40,20)*
s(24,32,20)c(40,32,12)-c(24,40,20)*
c(24,48,12)t(40,24,12)+s(40,32,28)*
c(24,24,20)c(32,24,20)*s(40,32,28)*
c(24,24,20)s(24,32,20)t(24,40,12)-*
t(40,48,20)c(32,32,28)*t(40,32,12)-
t(32,32,28)c(24,24,12)-t(32,40,20)-
t(32,40,28)t(24,48,28)*t(24,48,20)*
s(24,40,12)s(40,16,20)t(40,32,20)++
s(32,24,28)c(40,32,20)*c(32,40,20)*
s(48,40,20)s(24,24,28)-s(48,48,20)*
c(32,24,20)s(24,24,20)*s(40,24,20)*
s(40,48,20)t(24,40,20)t(24,32,28)*+
s(32,16,20)s(48,32,12)+c(24,24,20)*
s(32,24,28)s(40,40,28)c(32,48,12)-*
s(40,16,20)s(40,32,12)-c(24,16,12)+
s(24,32,28)s(40,40,20)-s(40,32,28)-
c(16,16,12)t(24,40,28)s(32,40,20)*+
s(32,32,28)t(32,40,12)c(32,32,12)+-
s(40,24,20)s(8,24,12)s(48,32,20)+*
c(24,40,20)t(24,48,28)c(40,32,20)-*
s(8,40,12)s(40,24,28)t(24,40,28)-+
s(40,32,20)c(40,32,20)s(32,16,12)-*
s(40,32,28)t(32,32,28)s(40,48,20)--
t(40,40,20)s(16,24,20)+t(40,40,20)-
s(32,48,20)t(48,24,12)c(24,24,12)++
c(24,24,20)s(24,32,28)*t(40,24,12)-
t(24,32,28)s(32,40,20)s(16,40,20)*-
s(40,24,28)s(8,24,12)+t(40,24,12)-
t(32,32,28)s(24,32,28)s(40,40,28)-+
s(48,40,12)t(24,24,12)s(48,8,12)++
c(24,32,20)s(32,40,28)*s(24,48,20)*
s(24,32,28)s(16,32,20)-c(32,40,20)*
t(24,48,28)t(24,32,20)c(32,16,12)--
c(40,40,20)c(40,24,20)s(48,16,20)+*
s(48,16,20)s(24,32,12)+t(32,24,12)-
s(8,48,12)c(40,40,20)t(48,48,12)-+
s(32,24,28)s(32,40,28)s(48,32,12)-*
t(32,48,20)s(24,48,20)t(48,48,12)+*
s(32,32,20)t(24,32,28)s(32,16,20)-*
s(32,32,28)t(24,40,28)*s(40,32,28)*
t(40,24,20)s(40,40,28)c(40,48,12)-*
s(40,16,12)t(24,48,28)c(32,32,12)-+
s(48,16,12)c(32,32,20)c(48,48,12)-+
c(32,32,20)s(40,24,20)t(24,48,28)-*
t(24,48,20)t(16,56,12)-t(32,24,20)+
s(40,24,28)s(48,40,20)s(16,48,20)++
c(24,40,20)s(40,32,28)c(24,24,20)**
s(40,16,20)s(40,32,20)s(24,48,20)--
s(32,16,20)s(40,40,28)-s(24,32,20)-
s(40,48,20)s(16,40,20)t(24,32,12)-+
s(16,24,20)s(24,32,28)*s(40,16,20)-
c(32,32,28)s(32,32,28)s(48,32,20)--
s(24,40,20)s(24,24,20)*t(32,48,28)+
c(32,32,28)s(40,24,28)*s(8,40,12)+
s(24,40,28)c(40,40,20)*c(24,40,20)+
s(32,48,20)t(32,40,28)t(32,24,12)-*
c(32,32,28)c(32,32,12)s(40,48,20)+-
t(24,40,28)t(24,48,28)+c(16,40,12)-
s(24,40,28)t(24,40,12)c(40,32,12)+*
c(24,32,20)t(24,40,28)-t(32,40,28)+
s(40,32,28)t(32,48,28)*s(24,16,20)-
t(40,56,12)s(16,48,20)+s(8,48,12)-
t(32,48,28)t(48,56,12)s(48,40,20)+*
s(16,48,20)t(24,40,28)*c(48,40,12)+
s(24,48,20)t(40,16,12)+t(32,32,20)-
t(40,32,20)c(24,24,12)+s(32,40,20)*
s(32,32,28)c(24,24,20)*c(32,40,20)*
s(24,24,20)s(32,24,28)s(40,32,12)-*
s(48,32,20)t(24,40,28)-s(40,40,12)-
c(40,24,20)c(40,40,12)s(40,24,12)+*
s(40,24,28)s(40,32,20)t(32,24,20)+-
t(32,32,28)s(32,32,12)-s(16,24,20)+
s(32,16,20)t(32,48,28)c(40,16,12)+*
s(32,16,20)t(32,32,28)c(48,48,12)-*
s(40,24,20)s(24,24,28)s(32,32,20)--
s(40,40,28)t(32,48,28)t(40,40,12)-*
c(24,32,20)s(40,24,28)c(32,40,20)**
c(32,32,20)s(24,48,20)t(32,40,12)--
s(32,40,28)s(16,24,12)-c(40,24,20)*
t(24,32,28)s(16,16,12)+t(24,40,20)*
t(32,16,12)t(40,24,20)+t(32,32,20)+
s(24,40,20)t(24,40,28)c(16,32,12)-*
s(48,40,20)s(40,24,28)s(24,32,20)*-
s(32,32,28)s(48,16,20)+t(40,16,12)-
c(40,40,20)t(32,40,20)s(24,32,12)--
s(24,24,28)t(24,40,28)*c(40,24,20)+
c(40,32,20)s(32,48,12)-t(24,40,20)-
t(24,48,28)s(24,48,20)t(16,48,12)-*
s(32,48,12)s(32,16,20)s(24,24,28)*+
s(40,48,20)s(48,48,20)*s(24,32,12)+
c(40,40,20)c(32,24,20)+s(16,32,20)*
s(32,32,28)s(24,16,20)-c(40,40,20)*
s(24,24,20)c(24,32,20)*t(32,16,12)-
s(32,24,20)s(40,16,12)-c(40,40,12)-
c(24,32,12)t(40,40,20)+t(40,24,12)+
c(32,40,20)t(40,24,12)-s(32,16,20)-
s(40,40,28)t(32,40,12)-s(24,40,28)*
s(48,32,20)c(40,24,12)t(24,40,28)+*
s(24,16,12)s(40,40,20)+c(32,40,12)-
s(32,40,20)c(24,24,12)-t(32,40,12)-
t(24,32,12)s(24,48,12)+t(32,16,12)+
s(24,32,20)s(24,24,20)s(16,16,20)*+
s(24,40,28)c(32,40,20)c(40,32,20)**
c(32,40,20)s(8,16,12)+t(24,32,20)-
c(32,32,20)t(16,40,12)-c(32,24,20)*
s(32,40,20)s(40,48,12)s(40,24,28)+*
s(16,32,20)t(24,40,28)c(32,32,20)*-
s(16,32,20)c(32,48,12)t(24,24,20)+*
s(16,40,12)s(48,40,12)t(40,48,20)++
c(32,32,28)s(24,24,28)*s(24,8,12)-
c(32,24,20)s(32,32,20)c(32,40,20)**
s(40,32,20)c(40,24,20)*s(24,40,28)*
s(24,24,28)c(32,32,28)t(24,40,20)-*
s(32,32,12)s(16,40,12)+s(32,40,28)*
c(32,32,28)s(16,32,20)*c(32,40,12)-
s(32,16,20)s(16,8,12)+t(32,32,20)-
c(24,24,20)c(32,16,12)-s(16,16,20)*
c(32,32,28)c(40,48,12)-c(40,32,12)-
s(40,32,28)s(40,24,28)*t(24,24,12)-
t(32,48,20)s(40,32,12)+t(40,48,20)*
c(40,24,12)c(24,32,20)+s(40,32,28)*
c(24,40,12)s(48,24,20)+c(32,32,28)*
s(32,48,20)c(24,40,20)s(40,48,12)--
s(32,32,28)c(32,24,20)*t(40,24,20)*
c(24,24,20)c(16,40,12)-s(32,40,28)*
s(24,24,28)c(24,16,12)-t(24,32,20)*
c(32,32,28)s(48,32,20)-c(24,32,20)-
t(32,48,28)t(24,24,12)+c(40,32,20)*
s(24,24,20)s(32,8,12)s(40,40,28)+*
s(40,32,20)c(24,40,20)s(40,40,28)**
c(24,32,20)s(24,40,28)s(48,24,20)-+
c(32,40,20)s(32,48,20)*s(32,32,20)*
s(40,40,20)s(40,24,28)t(48,32,12)--
s(40,40,28)c(24,32,20)s(32,32,20)**
t(32,32,28)c(16,40,12)-s(32,24,12)-
s(16,16,12)t(48,24,12)+c(16,32,12)+
t(40,48,20)c(32,32,28)s(24,16,20)-*
s(24,40,20)t(24,40,28)s(32,32,20)**
t(32,40,28)t(40,16,12)+t(24,32,28)*
t(32,48,28)s(40,32,28)*s(48,32,20)+
t(24,32,12)t(32,48,20)+s(32,8,12)+
c(32,24,20)s(24,24,28)+s(40,40,28)*
s(8,8,12)s(48,32,20)c(32,32,20)*+
c(32,32,28)s(32,40,20)s(32,40,12)--
s(24,24,28)t(32,32,28)*c(16,48,12)-
s(24,32,28)t(40,48,20)s(40,32,12)-+
t(48,48,12)s(40,40,12)+s(24,24,20)-
s(32,40,28)t(32,32,28)t(40,48,12)+-
s(32,48,20)s(32,32,28)*s(8,32,12)+
c(40,32,20)t(32,40,28)*c(24,32,20)*
s(40,32,20)s(48,16,20)t(48,16,12)--
s(40,24,20)s(16,32,20)-s(8,32,12)+
t(24,24,20)c(32,40,20)s(16,16,12)+*
t(24,48,28)s(24,40,28)s(8,40,12)-*
s(40,40,12)c(24,24,20)t(24,40,28)*+
t(32,32,28)t(32,16,12)-s(24,16,20)-
c(32,40,20)t(40,48,12)-s(40,48,20)*
t(32,32,28)s(8,24,12)t(24,32,28)+*
s(16,16,20)s(8,24,12)-s(32,24,28)*
s(24,32,28)s(16,24,20)*t(32,24,20)-
t(24,48,12)c(40,16,12)+s(48,40,20)+
c(40,40,20)t(48,56,12)-s(32,40,20)-
s(40,24,28)s(24,16,12)c(32,16,12)+*
s(32,24,28)s(32,48,20)-s(40,24,20)-
c(24,24,20)s(32,32,20)*c(16,48,12)+
t(40,16,12)s(48,48,20)t(40,48,20)-+
s(16,32,20)s(16,40,20)t(16,24,12)-*
s(16,16,20)c(24,24,20)*c(24,32,20)+
s(40,16,20)s(24,16,12)-c(32,40,20)-
s(16,40,20)t(32,40,20)t(24,32,28)*-
s(24,40,28)s(40,48,12)-t(24,40,28)+
t(40,40,20)s(40,32,28)t(32,32,28)**
s(32,24,28)t(16,24,12)-s(24,16,12)-
s(32,40,28)s(16,40,20)c(24,40,20)*-
s(48,24,20)s(32,24,28)c(40,40,20)*-
t(24,40,28)c(40,32,12)-c(40,40,12)+
t(32,24,12)t(40,32,20)s(24,16,20)-+
c(32,24,20)t(48,32,12)-s(48,16,20)-
c(40,32,20)s(48,24,20)-c(24,24,12)+
c(40,32,20)s(40,40,20)s(24,32,12)-*
s(16,32,20)c(24,40,20)*t(32,32,28)*
s(32,32,28)s(48,24,20)c(40,24,20)**
t(24,48,28)c(32,32,28)s(24,24,28)*+
s(32,40,28)s(40,48,20)*t(48,48,12)-
s(24,24,20)c(24,32,20)*s(16,48,20)-
c(40,16,12)s(8,16,12)+s(16,32,20)-
c(32,32,28)t(32,48,28)*t(32,24,20)-
t(24,40,28)t(32,32,28)*t(24,48,28)*
t(32,48,28)s(24,40,28)*t(24,48,20)*
s(24,24,28)s(40,24,28)*s(32,32,20)*
c(24,48,12)t(40,40,20)s(32,16,20)-+
s(32,40,20)c(32,48,12)-s(48,16,12)+
c(32,24,20)s(48,32,12)-s(32,24,12)-
s(24,24,28)c(32,16,12)c(16,40,12)+*
s(40,32,28)s(24,32,28)*c(24,24,20)*
s(48,24,20)s(24,32,28)-c(40,24,20)*
c(48,40,12)t(24,32,20)+s(24,40,20)*
s(40,24,28)c(24,32,20)*s(40,24,12)-
s(24,32,20)t(32,40,28)t(40,48,20)--
t(32,48,28)s(32,32,28)*t(24,32,28)*
s(32,40,20)s(24,40,20)t(24,48,20)*-
s(40,32,20)t(40,24,20)s(48,24,20)+*
s(40,40,20)c(16,48,12)s(48,32,20)+*
s(40,32,28)s(24,24,28)s(32,40,28)**
s(24,24,20)s(16,40,20)-t(32,48,28)+
s(32,48,20)c(24,40,12)-s(32,32,20)-
s(24,40,28)s(32,16,20)c(32,40,20)-+
t(32,32,28)c(24,40,20)*s(16,48,20)+
s(40,24,20)t(32,32,28)c(48,48,12)-*
c(24,24,20)c(24,24,12)-s(32,32,20)-
c(32,32,28)s(24,16,20)-s(32,40,20)*
c(16,32,12)t(24,48,28)+s(24,40,20)-
s(32,24,28)t(32,40,20)t(48,16,12)+*
c(24,24,20)s(24,48,12)c(48,24,12)+-
t(16,56,12)t(24,56,12)t(16,48,12)++
s(32,32,28)c(32,24,20)c(24,24,12)--
s(32,48,20)t(24,40,28)s(32,40,20)**
c(24,40,20)s(24,40,12)-s(24,48,12)+
t(24,32,28)c(32,32,20)*c(32,24,12)-
s(32,32,28)s(24,32,28)*c(24,48,12)-
s(32,16,20)t(40,32,20)c(32,24,20)*-
s(16,32,20)c(16,48,12)s(32,32,20)++
s(40,40,20)t(32,48,28)*c(32,48,12)+
c(40,40,20)c(32,32,20)*s(48,24,20)-
c(32,32,20)c(48,16,12)+s(32,48,20)*
t(32,48,28)s(40,24,20)-s(16,32,12)+
t(32,32,12)c(40,48,12)+s(40,32,28)*
s(16,24,20)t(32,32,28)s(32,24,28)*-
s(16,8,12)s(32,40,28)s(24,24,28)*+
t(16,40,12)t(48,48,12)s(48,8,12)++
c(40,32,12)c(32,32,28)s(40,48,20)*+
s(16,16,20)s(32,24,28)t(32,16,12)-*
s(40,16,20)t(40,40,12)c(32,32,12)++
s(32,40,28)t(40,24,20)-c(40,32,20)*
s(24,32,28)s(8,48,12)-t(32,32,28)*
c(40,32,20)t(40,24,20)t(32,56,12)+*
t(32,48,28)t(24,48,12)-t(24,48,20)-
c(40,40,20)s(32,48,20)+c(40,32,20)*
c(24,40,20)c(24,24,20)t(24,24,12)-*
t(24,48,28)t(32,24,20)+t(32,48,28)*
t(24,32,28)t(40,48,20)-t(32,40,28)*
t(24,48,20)c(40,32,20)t(32,40,12)--
s(16,48,12)s(24,16,20)s(40,32,20)-+
s(40,40,20)t(48,40,12)-s(32,40,20)*
s(40,32,28)s(24,32,20)-t(32,48,28)-
s(48,24,20)s(48,8,12)-s(48,48,20)+
s(32,24,20)t(24,48,20)s(48,16,20)+-
s(16,40,20)s(32,32,20)s(8,40,12)+*
s(48,24,20)s(48,16,20)s(40,16,20)+*
s(24,40,20)s(16,40,20)s(16,24,20)*+
c(40,32,20)c(32,40,20)s(24,40,28)**
t(40,24,20)s(48,32,20)c(32,24,12)+*
s(24,24,28)s(48,32,20)s(32,24,20)+-
s(48,48,20)s(40,40,28)t(32,40,12)-*
s(40,40,28)t(32,40,28)*t(40,48,20)*
t(32,32,28)t(32,48,28)t(24,32,12)+*
s(24,48,20)c(32,32,12)-s(24,40,20)*
s(32,32,20)t(24,32,20)s(24,24,20)*-
c(40,24,20)s(16,24,12)c(24,40,20)+*
t(48,56,12)t(40,48,20)t(32,40,28)*+
s(16,48,20)c(24,40,20)s(40,32,28)--
s(24,48,20)c(32,40,20)s(40,24,20)-*
t(32,32,28)c(32,32,20)s(40,40,28)*+
s(16,8,12)c(32,16,12)+c(32,48,12)+
s(24,24,28)c(24,16,12)-c(32,16,12)-
s(32,40,28)c(40,16,12)+s(16,40,20)*
c(16,16,12)c(32,40,20)+s(16,48,12)-
s(40,32,28)c(40,24,20)s(48,16,20)--
s(40,40,28)t(32,48,28)s(24,40,12)-*
t(32,40,28)c(40,40,20)*c(40,32,20)*
t(40,24,12)c(40,40,12)+c(48,48,12)-
s(32,32,28)t(32,24,12)c(40,48,12)+*
s(32,32,28)c(32,40,20)t(40,32,12)-*
s(24,16,20)t(24,24,20)+c(24,24,12)-
t(32,32,28)c(40,40,20)s(8,48,12)+*
c(32,24,20)t(24,16,12)-t(32,32,12)-
s(16,40,20)t(40,48,20)+s(32,48,20)*
s(40,32,20)s(32,24,20)t(24,40,12)+*
s(32,32,12)t(24,40,12)+s(48,40,12)+
s(32,40,28)s(40,16,20)+c(16,32,12)-
s(32,24,20)t(24,32,28)c(40,32,20)+*
s(48,16,20)s(48,32,20)s(48,48,12)-*
s(32,32,28)c(24,24,20)+t(24,40,28)*
s(40,48,20)s(24,40,28)c(16,48,12)--
t(24,32,28)s(32,40,20)s(40,48,12)-*
s(32,40,20)s(24,40,28)t(24,32,28)**
s(40,24,20)s(32,32,28)c(40,48,12)-*
s(48,40,20)c(48,40,12)t(24,16,12)+*
c(32,32,20)s(40,48,20)-s(16,24,20)+
c(32,24,20)c(40,24,12)c(24,40,20)+*
s(40,40,28)t(32,32,28)s(40,48,12)-*
s(40,48,20)t(40,32,20)s(24,48,20)--
s(40,32,20)s(32,16,20)c(24,32,20)*-
s(24,40,12)s(16,8,12)+t(24,40,12)-
t(24,40,28)s(24,40,28)s(32,48,20)-*
s(40,48,20)c(48,24,12)+s(40,40,20)*
s(32,8,12)t(24,32,28)t(24,40,20)*+
c(32,24,20)s(24,24,20)*t(32,32,28)*
t(32,32,28)s(24,24,12)t(32,56,12)+-
s(32,40,20)s(24,32,28)+c(24,24,20)*
c(32,32,28)c(32,24,12)-s(32,16,20)-
c(16,40,12)t(40,32,20)+t(24,32,28)*
s(8,8,12)c(24,32,20)+t(24,16,12)-
s(32,24,20)s(24,40,28)*s(24,16,12)+
t(24,32,28)s(24,24,28)t(24,32,12)-*
s(16,32,20)t(40,32,20)+c(40,40,12)-
s(40,24,28)s(24,24,20)s(32,40,12)-*
t(32,48,28)c(40,16,12)c(24,48,12)+-
t(32,32,20)t(32,32,28)s(48,40,20)-+
s(40,32,28)c(24,40,20)s(32,24,20)--
s(40,24,20)s(48,32,12)-t(40,32,12)-
s(40,24,20)s(24,16,20)s(24,32,20)*-
t(24,24,20)s(8,8,12)t(16,48,12)++
c(40,40,20)t(24,40,28)+s(24,24,28)*
t(32,40,20)s(48,48,12)-s(48,24,20)+
s(48,32,20)s(48,40,20)t(32,40,28)*-
s(24,40,28)s(24,40,12)-s(48,48,20)+
c(32,40,20)c(32,24,20)c(32,16,12)-*
t(32,48,28)t(40,32,12)s(48,48,20)+*
c(32,40,20)s(40,32,20)c(32,40,20)*-
c(24,32,20)s(24,40,28)*c(32,24,20)-
t(24,32,20)s(16,16,12)+s(16,40,12)-
s(48,32,12)t(32,24,12)s(24,48,20)++
s(16,40,20)t(48,56,12)+s(32,32,28)*
s(40,40,28)s(24,48,12)-s(24,32,28)*
s(40,24,20)s(32,24,20)s(24,40,12)-*
s(32,16,20)c(40,32,20)s(40,16,20)*-
c(24,32,20)s(16,32,20)s(32,32,20)--
s(16,48,20)s(24,24,28)-t(40,48,20)-
s(24,24,28)c(32,40,20)*s(40,40,28)*
s(48,40,20)t(48,24,12)-s(40,32,28)*
s(24,32,28)t(24,48,28)t(24,24,20)+-
s(24,40,20)c(40,24,12)t(48,32,12)+-
c(24,24,20)c(40,24,20)*t(32,32,28)*
s(32,24,20)s(32,24,12)t(40,40,20)+*
s(24,40,28)t(32,48,28)*c(48,16,12)+
c(24,40,20)t(24,40,28)s(8,40,12)-*
s(24,16,12)t(32,56,12)+t(24,24,12)-
c(40,24,20)s(48,24,20)+t(40,40,12)-
s(24,32,28)t(32,40,28)*t(40,48,12)+
s(24,40,20)t(24,40,28)s(32,24,28)*-
s(32,24,20)s(40,32,12)-t(32,32,12)+
t(32,32,28)t(32,48,28)s(32,40,20)**
t(40,24,20)c(40,48,12)+t(40,40,20)*
s(48,48,20)c(40,32,20)c(24,24,12)-*
s(32,40,20)t(24,48,28)*s(32,32,28)*
c(32,40,12)s(16,24,12)+t(32,40,28)*
t(32,40,28)s(40,24,20)c(24,24,20)*-
s(24,32,28)s(24,24,28)*c(16,40,12)+
c(24,40,20)t(24,48,12)s(32,16,20)+-
s(32,32,28)t(32,48,28)-t(24,40,28)-
s(40,48,20)s(32,32,28)*t(40,40,20)*
s(24,48,20)t(32,32,20)s(32,40,20)*-
s(16,32,20)c(32,32,20)*c(40,32,12)+
c(24,40,20)c(40,24,12)-c(24,24,20)*
c(40,24,20)t(24,32,20)t(24,16,12)--
c(40,24,20)c(40,40,20)s(48,40,20)**
s(32,40,20)c(32,32,20)t(24,40,28)**
s(24,32,28)s(48,48,20)-c(48,48,12)+
s(32,24,20)s(32,40,28)*t(40,48,20)-
c(40,48,12)s(16,48,20)c(24,40,20)*+
c(24,24,20)s(40,16,20)s(24,16,12)+*
s(40,8,12)t(24,24,12)+c(40,40,20)-
t(32,32,20)t(24,48,28)+s(16,48,20)*
c(40,32,20)s(40,16,20)-s(32,48,20)*
s(32,32,20)t(24,32,20)s(16,24,12)--
s(40,24,28)s(32,16,20)t(24,40,28)-*
s(24,32,28)s(24,40,20)t(32,40,12)-*
s(48,16,20)t(32,32,28)c(24,32,20)*-
s(32,32,28)c(40,40,20)s(24,24,20)+*
s(24,16,20)c(32,24,20)s(32,40,20)-+
t(48,56,12)s(40,24,12)+c(24,40,20)+
c(24,40,20)t(32,48,28)*t(32,24,20)-
s(24,40,28)t(24,32,12)-c(40,40,20)*
s(16,24,20)s(16,40,20)c(16,40,12)--
s(24,24,28)c(24,40,20)*c(32,48,12)+
s(32,24,28)s(24,24,20)s(32,8,12)--
t(32,40,20)s(48,24,20)t(48,16,12)--
c(24,32,20)t(24,40,12)-s(16,32,20)*
c(40,40,20)s(48,16,20)s(40,48,20)+*
c(24,32,20)s(32,24,20)+s(16,48,20)-
s(32,8,12)s(40,16,12)+s(32,16,20)*
s(8,40,12)t(24,48,28)+s(24,32,28)*
c(32,24,12)s(32,32,12)+s(40,32,20)*
s(32,24,28)s(24,32,28)*c(24,32,20)*
s(8,24,12)s(32,24,28)c(48,32,12)-+
t(24,40,28)s(24,48,12)-t(40,24,20)-
c(24,40,20)t(32,24,20)-t(16,24,12)+
s(40,24,28)t(40,40,20)-c(24,40,20)-
s(32,32,20)c(40,40,20)c(40,24,20)*-
c(32,24,20)s(24,16,20)s(48,32,12)+-
s(40,24,28)s(48,32,20)-t(32,32,28)*
s(16,16,20)s(16,32,12)+s(24,24,20)-
c(24,32,20)s(32,24,28)c(40,24,20)**
s(24,40,20)c(40,40,12)-s(16,40,12)-
s(40,40,28)c(32,32,28)t(40,32,20)-*
s(32,40,28)s(40,40,28)*t(40,48,20)-
s(48,40,12)s(32,16,20)+t(24,16,12)-
s(32,16,20)s(32,24,20)s(40,24,20)*-
c(24,40,20)s(24,32,28)*s(24,24,20)-
s(40,40,20)t(16,24,12)+t(40,40,12)-
t(24,32,28)s(8,8,12)+s(32,40,28)*
t(24,48,28)t(32,40,28)s(24,48,20)*-
t(24,48,28)t(24,32,12)-s(40,32,20)-
s(32,24,28)s(24,24,28)c(24,32,20)**
s(32,24,20)t(24,40,28)s(40,8,12)+*
t(24,40,28)c(40,32,20)s(32,40,20)**
t(24,48,12)c(32,40,12)+s(16,48,12)-
s(32,32,20)c(32,32,20)c(32,40,20)**
s(32,32,20)c(40,24,12)-t(32,32,12)-
s(40,40,28)s(48,32,12)-t(40,32,20)-
t(16,48,12)s(24,8,12)c(32,48,12)++
s(48,48,20)s(40,32,28)t(24,32,28)*-
s(16,32,20)s(48,24,20)+s(40,40,20)*
s(32,24,28)c(48,40,12)-s(24,24,28)*
s(8,48,12)s(32,40,20)+s(40,40,12)-
t(24,48,28)s(32,32,28)t(48,40,12)-+
s(32,32,20)s(40,16,12)-t(32,40,12)-
s(16,16,20)t(40,40,12)c(16,16,12)+*
c(40,32,12)s(24,40,20)+c(40,48,12)+
s(24,40,28)s(16,24,20)s(24,32,28)*+
c(16,16,12)t(32,40,28)+s(48,40,20)*
s(48,40,20)s(32,16,20)+c(32,32,28)*
t(32,48,20)s(24,48,20)+t(40,40,20)-
t(32,32,28)s(40,32,12)-c(32,32,12)+
s(24,32,20)t(24,40,12)s(32,16,20)+*
t(16,16,12)c(40,24,20)+s(24,24,28)*
t(40,16,12)t(24,48,20)+s(16,8,12)+
t(32,32,28)s(40,40,28)t(32,48,20)--
s(24,24,28)t(40,24,20)+c(48,24,12)-
c(24,24,20)t(32,32,20)t(24,32,28)**
s(32,32,20)c(40,40,20)*s(32,16,20)+
s(16,48,20)c(32,32,20)t(24,32,12)--
c(40,32,20)t(32,32,12)-s(40,24,20)*
s(48,32,20)c(32,16,12)-s(32,32,12)+
c(40,32,20)s(40,40,28)*s(48,24,12)-
s(32,24,12)t(24,24,20)+t(16,32,12)-
s(32,32,20)s(24,40,28)*c(32,16,12)-
s(32,40,28)t(48,40,12)-t(32,56,12)-
c(48,16,12)s(48,40,20)s(32,40,28)*+
c(48,48,12)s(24,48,12)+t(32,48,28)*
c(32,32,20)s(24,32,28)s(24,40,20)-*
c(40,40,20)s(32,24,28)t(24,32,28)*-
s(24,40,12)t(40,32,20)+s(48,40,20)-
c(40,32,20)s(24,24,20)s(32,32,28)*-
c(24,32,20)s(40,24,28)s(24,24,28)**
s(24,48,20)t(32,32,20)+s(40,40,20)-
s(48,24,20)s(32,32,20)t(32,24,20)++
c(32,24,20)t(40,24,12)-c(40,24,20)*
s(32,40,20)s(32,48,12)-c(16,48,12)-
c(16,48,12)s(32,24,12)+s(32,32,28)*
c(24,40,20)s(32,48,12)-c(40,32,12)-
s(40,40,28)t(40,32,12)-s(32,40,20)*
s(32,32,28)s(24,40,20)s(40,32,20)--
s(40,24,28)c(40,40,12)-s(16,40,20)-
t(24,32,28)c(32,16,12)-t(40,24,12)+
t(32,40,20)c(24,32,20)t(40,16,12)+*
s(16,32,20)t(24,48,28)-t(16,16,12)-
c(32,32,28)s(24,48,12)-s(40,40,28)-
c(24,40,20)s(32,24,20)s(32,40,28)*-
s(24,40,28)s(48,48,20)-c(16,24,12)-
s(48,24,20)t(16,32,12)+s(32,24,20)*
s(8,40,12)c(40,16,12)+s(16,16,12)+
c(32,40,20)s(32,40,28)s(48,48,20)*-
t(16,40,12)c(48,32,12)+s(16,40,12)-
s(40,40,28)s(40,40,20)s(32,32,20)*-
s(16,24,20)t(40,40,20)s(32,24,28)+*
s(24,40,28)c(24,40,20)t(24,24,20)--
s(24,40,28)s(48,48,20)s(32,48,20)*-
s(32,24,28)s(24,32,20)*c(32,24,12)-
s(48,16,12)s(16,16,20)+t(32,32,28)+
t(24,40,28)s(40,32,28)c(32,24,20)**
s(32,32,28)s(24,24,20)-c(32,40,12)-
s(32,40,28)t(24,40,20)t(48,24,12)+*
s(32,32,20)s(40,40,28)s(24,40,28)**
s(16,8,12)c(32,24,20)+s(16,16,20)*
c(32,24,20)s(24,24,28)*t(24,32,28)*
s(24,40,28)s(40,40,20)c(32,40,20)**
t(32,24,20)s(16,48,12)+s(24,24,28)*
t(32,40,20)s(32,40,20)t(32,24,12)-*
s(48,40,20)s(8,8,12)+s(40,24,28)*
s(24,24,28)c(16,40,12)-t(16,16,12)-
t(32,40,28)s(16,24,20)t(32,40,12)+-
s(32,32,28)t(24,48,28)t(32,40,28)**
s(24,24,28)s(32,32,28)+c(32,40,20)*
s(24,48,20)c(40,40,20)s(40,32,28)*-
t(32,32,28)c(32,32,28)c(32,40,20)--
s(16,40,20)s(16,48,12)-c(32,40,20)+
s(24,32,28)c(32,32,20)c(24,40,20)*-
t(24,40,20)s(32,24,20)s(40,16,20)*+
s(32,32,28)c(32,48,12)-c(32,16,12)-
t(40,32,20)t(40,56,12)+s(24,16,20)-
t(40,24,20)s(32,48,20)+s(40,24,20)-
s(40,32,20)t(32,24,20)s(32,16,20)*-
s(40,16,20)t(40,24,20)s(16,48,12)+*
s(16,40,20)c(16,48,12)t(32,48,12)+-
t(24,56,12)c(40,40,20)s(40,48,12)-+
s(16,48,20)c(24,40,20)*c(32,40,20)*
t(32,32,28)c(32,32,20)*c(40,32,12)-
s(24,32,28)s(40,48,12)-s(40,32,20)*
c(32,24,20)c(32,24,12)-s(24,24,12)-
s(32,48,20)s(24,40,28)*t(16,40,12)+
c(24,40,20)s(24,32,28)s(24,16,20)*+
s(40,32,20)t(32,24,20)+s(40,40,20)-
s(32,24,28)s(24,16,12)-s(24,48,20)-
s(32,32,28)c(40,24,20)*t(32,16,12)-
s(40,16,20)t(32,40,20)+t(40,32,20)+
s(32,40,20)s(40,24,28)*t(48,32,12)-
s(48,32,20)t(40,16,12)-c(48,16,12)-
s(24,40,28)s(24,24,28)*t(32,48,28)-
t(32,48,28)s(40,40,20)*s(40,40,12)+
s(40,40,28)s(24,24,28)s(16,40,12)-*
s(24,16,20)t(32,40,28)s(32,24,28)*-
s(16,40,20)s(24,40,12)s(16,48,12)+-
t(24,32,28)s(40,32,20)s(32,24,20)*-
c(32,32,28)c(32,24,20)t(32,24,12)--
s(24,48,12)t(40,24,20)+s(40,32,12)-
t(24,48,28)s(40,48,20)t(48,48,12)-*
c(40,32,20)t(16,32,12)t(40,40,20)+*
s(40,24,20)c(48,16,12)-c(40,16,12)-
c(24,32,20)s(24,40,12)-c(32,24,20)*
s(32,24,28)t(40,56,12)c(32,16,12)+*
s(32,24,28)c(40,40,20)s(16,48,12)+*
s(24,32,20)c(16,32,12)-c(24,40,20)+
s(24,24,20)s(32,8,12)t(24,24,20)+*
t(32,24,20)s(24,8,12)-t(16,24,12)-
s(32,24,20)c(40,32,20)t(24,40,28)*-
s(16,16,20)s(8,32,12)-t(40,32,12)+
t(32,32,20)s(40,32,20)s(32,40,28)**
s(40,40,28)c(24,40,20)*s(32,32,28)*
s(48,32,20)c(40,40,12)-t(32,24,12)-
t(32,16,12)s(16,32,20)s(8,48,12)-+
s(24,40,28)c(32,32,20)*s(24,24,20)*
t(16,48,12)s(48,24,20)c(40,24,20)*+
s(8,48,12)s(24,32,28)s(40,32,12)-+
s(32,24,20)s(24,32,20)*s(16,16,12)-
c(32,40,20)s(40,32,28)*s(40,40,20)*
s(32,48,20)c(40,16,12)c(32,32,20)+*
s(32,48,20)t(32,48,28)s(16,48,20)-*
s(32,40,28)t(24,32,28)s(32,32,12)-*
c(32,40,20)s(24,48,20)*c(32,40,12)+
c(32,24,20)c(32,40,20)*s(24,40,12)+
t(32,40,28)s(40,48,20)s(32,48,12)--
s(24,48,12)c(16,48,12)+c(24,24,20)-
c(40,40,12)s(24,24,28)s(40,16,20)*+
s(24,32,20)s(32,40,28)*s(40,24,12)+
s(40,40,20)t(24,32,28)s(32,40,20)+*
t(40,32,20)s(40,24,12)+s(32,48,12)-
t(24,32,12)s(32,48,12)t(40,32,12)++
t(32,40,20)s(32,16,20)s(24,16,20)*+
t(40,48,20)s(24,32,28)c(32,24,20)-+
t(24,40,28)s(48,16,12)+s(24,24,20)*
s(32,24,20)s(24,32,28)*s(48,40,20)-
s(48,40,20)t(40,32,20)+c(40,24,20)*
s(32,24,28)s(24,40,28)*c(32,40,20)*
t(32,40,20)s(40,24,12)-c(16,32,12)+
s(40,40,28)s(24,40,28)s(40,40,20)*-
s(32,32,20)t(24,32,20)+c(16,40,12)-
s(48,24,20)c(16,48,12)t(32,24,20)++
c(16,16,12)s(40,32,12)+s(32,32,28)*
s(24,32,20)s(32,40,20)*t(16,24,12)+
c(40,32,20)s(16,32,20)-c(32,32,20)*
s(16,40,20)s(24,40,20)*c(32,32,12)+
c(32,32,20)t(24,48,28)-s(48,8,12)+
s(24,24,28)s(32,16,20)s(40,32,28)**
c(40,40,20)t(48,48,12)-c(32,24,20)*
t(40,32,20)t(48,56,12)+s(48,24,12)+
s(40,24,28)s(32,32,20)*s(24,32,20)*
s(48,8,12)s(48,32,12)+s(32,16,20)+
c(40,32,20)c(24,24,20)-t(32,32,20)-
c(40,32,20)s(32,32,28)c(16,16,12)-*
s(24,32,28)t(32,16,12)t(40,48,20)+*
s(16,24,20)c(32,24,12)-s(16,16,12)-
s(16,32,20)s(16,40,20)*t(24,40,28)*
t(32,40,28)s(8,48,12)+s(32,24,28)-
s(16,16,20)s(16,32,20)*s(16,8,12)+
s(40,48,20)s(48,32,20)s(40,24,28)*-
c(32,24,20)t(32,32,20)s(24,24,12)--
s(40,24,20)s(48,8,12)+s(32,40,28)*
t(32,32,28)s(32,24,28)*s(40,40,20)*
s(48,32,12)s(40,40,12)t(32,40,12)++
s(24,24,12)c(40,24,12)+s(48,32,12)-
t(40,40,20)t(24,32,28)+c(16,48,12)-
t(24,48,28)c(24,40,20)*s(16,48,20)*
t(24,48,28)s(40,40,28)*t(40,48,20)+
s(24,32,12)s(40,16,20)+t(32,32,20)-
s(32,24,28)s(48,32,20)*c(48,40,12)+
s(32,8,12)c(32,48,12)+c(32,32,12)+
c(32,40,20)c(24,32,20)c(24,48,12)-*
s(16,32,12)t(40,32,20)+c(40,24,20)*
c(40,32,20)s(40,32,28)s(32,24,20)-*
c(40,32,20)c(48,24,12)-c(24,32,12)-
c(24,32,20)t(24,48,20)+s(16,32,20)*
c(40,40,20)c(32,32,20)*s(24,16,20)+
s(40,48,12)s(16,40,20)t(24,32,20)-+
s(40,32,28)s(40,24,12)-s(32,40,20)-
t(24,40,28)s(40,40,28)s(24,32,12)--
s(24,24,28)s(40,24,28)s(32,32,28)+*
s(24,48,20)c(24,16,12)c(24,48,12)+*
s(48,24,12)s(40,40,20)c(32,40,20)*+
t(32,48,28)c(24,32,20)t(24,24,12)-*
t(24,48,12)c(32,16,12)t(32,24,20)++
s(16,40,20)t(24,48,28)s(32,40,28)**
s(24,32,20)c(48,48,12)c(40,24,20)+*
s(40,24,28)t(32,40,28)-s(16,16,20)-
s(40,24,28)c(24,32,20)-s(32,24,20)-
s(24,32,20)t(16,24,12)-t(40,32,12)+
s(16,16,20)s(24,24,28)*t(24,40,20)+
c(24,40,20)t(32,48,28)s(40,48,12)-*
s(8,48,12)t(32,40,28)+s(40,24,12)-
s(48,8,12)t(24,32,28)+c(40,32,20)*
s(32,40,28)s(16,32,20)t(24,32,28)**
s(32,40,28)s(40,48,20)s(24,40,12)--
t(24,32,20)s(32,16,12)+c(24,16,12)-
c(24,24,20)c(32,24,20)s(48,48,20)-*
t(32,40,28)c(40,24,12)-s(40,40,12)-
s(32,24,20)s(40,32,20)s(40,24,20)**
s(40,32,28)t(32,48,20)c(40,16,12)+*
s(48,24,20)s(40,40,28)t(32,32,28)*-
t(32,40,28)s(32,24,28)s(40,16,20)+-
s(16,48,20)s(32,24,28)+s(24,8,12)-
c(40,32,20)s(24,32,28)*s(48,32,12)-
c(40,32,20)t(24,32,28)s(32,24,28)+*
c(24,40,12)c(24,32,12)+s(40,24,20)-
s(40,32,20)s(24,16,20)c(40,24,12)+*
s(16,32,20)s(32,32,28)c(24,48,12)--
s(40,16,20)c(32,24,20)*t(32,32,20)-
s(40,24,28)s(32,16,20)*t(48,40,12)+
s(40,32,12)c(32,24,20)s(24,32,20)*+
c(24,40,20)c(40,32,20)s(40,40,28)**
s(16,32,20)t(32,48,12)+t(24,32,20)*
s(24,24,28)t(48,24,12)+c(48,16,12)+
s(32,40,20)s(24,40,20)c(40,40,12)-*
s(40,24,20)c(24,32,20)*s(8,8,12)+
c(24,40,20)c(40,24,20)t(40,48,12)+*
t(24,32,28)s(32,40,28)s(24,32,28)**
s(16,48,20)c(24,40,20)s(40,16,12)+*
t(32,48,28)s(32,40,20)-s(48,24,20)+
t(32,24,20)s(40,24,12)+s(40,40,28)+
t(40,32,12)t(24,32,28)c(24,32,20)*+
s(24,32,28)c(40,48,12)-t(32,32,28)*
s(16,16,20)s(40,32,28)c(24,32,20)*+
t(24,40,28)s(16,24,12)s(24,48,12)+*
s(40,40,28)c(32,40,20)s(24,48,20)**
c(40,32,20)s(32,16,20)-c(24,32,20)-
c(32,40,20)c(16,40,12)-s(32,32,20)*
s(32,24,28)c(32,32,28)s(48,16,20)**
s(24,48,20)s(32,48,12)t(24,24,12)+-
t(40,24,20)s(24,8,12)+t(24,40,28)+
s(8,48,12)c(32,16,12)+s(40,8,12)-
c(32,32,28)c(24,40,20)t(32,48,20)*-
t(24,40,28)t(40,48,20)c(32,24,20)--
s(48,40,12)c(16,32,12)+s(24,40,28)*
s(32,24,28)s(40,24,20)t(24,32,12)-*
s(24,24,20)s(32,16,12)t(40,56,12)+-
t(32,32,20)s(48,48,20)+s(40,24,20)*
t(16,56,12)s(24,32,20)+s(32,32,20)*
s(32,40,28)c(40,24,20)-s(32,48,20)*
s(32,16,20)s(24,24,28)*t(24,32,12)-
s(32,48,20)c(32,32,28)*s(32,32,20)*
s(32,24,28)t(40,32,12)-s(24,24,20)*
s(16,32,20)t(32,24,20)-c(24,32,20)*
c(16,32,12)c(40,48,12)+s(48,48,20)-
c(32,40,20)c(32,32,12)-s(40,32,20)-
c(24,40,20)c(32,40,20)s(48,40,20)*-
s(32,24,20)t(40,32,20)-s(32,16,20)*
t(24,32,28)s(24,24,28)*s(40,24,28)*
t(32,40,28)s(32,32,28)*t(32,40,12)-
c(24,32,20)c(40,32,20)*t(24,48,20)-
c(24,40,20)s(40,40,28)s(32,32,12)-*
s(48,32,20)c(24,24,20)s(24,16,20)--
s(32,16,12)t(40,48,12)+s(40,40,12)-
s(24,24,28)c(32,32,28)*c(32,40,20)+
t(32,32,28)c(48,16,12)s(40,48,20)+*
c(40,24,20)s(32,40,20)-c(24,40,12)+
s(16,40,20)t(40,32,12)+s(24,32,28)*
s(32,32,28)s(24,24,20)c(40,24,20)*-
c(40,24,20)t(32,48,20)+s(40,48,12)-
t(24,40,28)c(32,32,20)*c(32,40,20)*
t(24,32,20)t(32,32,28)c(40,24,12)-*
s(24,24,28)c(32,24,20)*s(40,32,20)-
c(40,32,20)c(32,40,20)*t(40,40,20)*
s(32,32,20)t(24,32,20)+t(24,40,28)*
s(24,24,20)c(32,32,28)s(32,16,20)--
s(32,48,20)t(32,32,20)c(32,16,12)--
s(32,40,20)s(24,32,28)c(32,32,20)**
s(40,48,20)s(40,40,28)t(32,48,28)**
c(32,32,20)s(40,48,20)t(24,48,28)+-
t(32,48,20)s(32,48,20)s(24,48,20)**
c(32,48,12)s(24,32,20)+c(32,24,20)*
s(40,40,28)t(24,48,20)s(24,24,20)--
t(24,24,20)s(40,40,28)s(24,24,12)--
c(40,24,20)t(16,32,12)+s(32,16,12)-
s(8,48,12)s(32,16,20)s(48,24,20)-+
s(24,32,20)s(16,32,12)-c(16,32,12)-
c(32,32,20)s(40,16,20)s(40,24,20)**
s(8,8,12)c(32,32,28)+s(40,40,12)-
s(40,40,28)s(16,32,12)+t(24,48,28)*
s(32,32,28)t(24,48,28)-t(40,40,12)-
t(32,40,12)t(32,24,20)+s(40,24,28)*
s(40,40,20)s(32,40,28)t(24,40,28)**
c(40,32,20)t(24,32,28)s(32,24,28)*-
t(24,40,28)c(40,40,20)s(32,40,28)**
s(48,24,20)s(32,16,20)t(40,40,12)+-
s(48,24,20)s(48,48,20)t(32,48,28)--
s(32,24,20)s(24,32,12)-s(24,32,28)*
s(48,24,20)c(40,40,20)+s(32,48,20)*
s(48,40,20)s(40,40,28)t(24,32,12)-*
c(24,40,20)c(40,32,12)s(24,24,20)+-
s(32,40,28)t(32,32,20)s(16,40,12)--
c(32,32,20)s(24,40,28)s(40,40,28)*-
s(24,24,28)s(40,32,28)s(40,24,12)-*
c(16,32,12)s(24,24,20)+s(32,24,20)*
s(24,32,20)c(32,32,28)t(24,24,20)-+
c(48,24,12)s(8,48,12)+s(48,16,12)-
s(32,40,28)s(40,32,20)*s(32,24,12)-
s(40,24,28)s(40,8,12)-c(24,32,20)*
s(40,40,20)c(32,32,28)s(32,24,28)--
s(32,40,28)s(32,24,28)t(32,40,28)*-
s(24,32,28)s(24,40,12)t(48,16,12)+-
c(40,40,20)s(32,40,20)s(40,48,12)-*
t(24,32,28)s(48,40,20)-s(40,24,28)*
c(32,40,20)c(24,40,20)*c(24,24,20)*
s(24,24,28)c(24,24,20)c(48,32,12)+*
c(32,32,28)s(40,32,20)-s(40,40,28)*
c(48,48,12)s(40,16,12)+c(40,32,20)*
c(32,32,20)s(24,16,12)+s(40,32,28)*
s(48,32,20)s(40,32,20)*c(40,40,20)*
t(24,32,28)s(16,16,12)s(48,40,20)+-
s(16,40,20)c(32,24,20)-s(32,48,12)+
s(40,40,28)s(48,48,12)-s(40,32,12)-
s(32,16,20)t(40,24,20)s(48,16,12)--
c(40,40,20)s(40,24,28)c(32,24,20)*-
s(32,24,28)s(16,16,20)-t(40,40,20)-
c(32,32,20)t(32,48,28)-s(48,40,12)-
s(40,16,20)c(32,32,28)*s(48,32,12)-
s(40,24,28)t(32,32,28)c(48,48,12)-+
c(24,24,20)t(32,16,12)-s(32,32,20)*
t(32,32,28)t(24,48,20)c(24,32,20)+*
s(40,24,28)s(40,32,20)-s(24,40,28)-
c(24,24,20)c(16,40,12)-s(16,16,20)*
s(32,24,28)t(24,40,20)-s(32,40,20)-
c(40,32,20)s(32,24,20)t(32,24,12)--
t(32,40,28)s(40,32,28)*t(32,40,12)-
s(48,16,20)t(32,32,20)-t(32,24,20)-
c(40,32,20)t(40,24,20)t(32,48,20)+*
c(32,40,20)s(24,32,20)c(24,24,12)--
t(32,32,12)s(24,16,20)+s(8,16,12)+
s(32,40,28)s(48,16,20)-c(32,32,20)-
s(24,32,28)s(40,32,20)c(32,40,20)**
c(32,40,20)s(24,40,20)s(16,24,20)-*
s(24,40,20)t(24,48,20)s(32,48,20)*-
t(32,40,28)s(32,16,20)t(24,56,12)+-
s(24,40,28)t(24,40,28)s(16,48,20)+*
s(16,32,20)t(32,48,28)t(24,24,20)+*
t(32,48,28)c(24,40,20)s(32,16,20)--
t(24,40,28)s(40,40,12)-t(24,32,12)-
s(32,24,20)s(48,40,20)-s(40,24,20)*
s(24,24,28)t(24,32,28)*t(16,32,12)-
s(40,32,28)c(40,40,20)*t(24,40,20)-
t(16,24,12)c(32,32,12)+t(32,32,28)*
s(48,40,20)t(32,48,28)t(40,56,12)--
c(32,32,12)c(24,48,12)c(40,48,12)++
s(48,40,20)c(32,32,20)s(40,32,28)**
s(40,40,28)s(16,24,20)s(16,32,20)*+
s(48,16,20)t(48,56,12)+t(24,32,28)+
t(32,24,20)s(24,32,28)t(16,40,12)-*
c(32,32,20)t(48,48,12)+s(40,24,20)+
s(48,24,20)c(24,32,20)s(8,40,12)--
s(24,24,28)s(24,40,20)-s(32,32,28)*
s(48,24,20)s(48,48,20)-t(32,24,20)-
s(48,24,20)s(32,40,28)+s(32,24,20)*
t(24,48,20)t(24,32,20)c(24,24,12)+-
t(32,24,20)c(48,32,12)+t(40,32,20)*
t(32,40,28)s(16,16,12)s(32,32,12)++
c(32,32,20)s(32,8,12)t(24,40,28)+*
s(40,32,28)s(48,40,12)t(24,48,28)+*
c(24,24,20)t(24,16,12)-c(40,16,12)-
t(24,48,28)c(24,24,20)-s(40,8,12)+
s(40,32,20)c(40,24,12)-s(48,24,12)-
c(24,32,20)s(32,40,20)s(32,48,12)-*
c(32,48,12)t(16,40,12)+t(24,48,28)*
t(32,40,28)t(24,40,28)*s(32,24,12)-
c(32,40,20)s(32,48,20)-s(32,24,12)+
s(16,24,20)s(32,16,12)-s(40,24,28)-
s(32,48,12)s(48,40,12)+c(48,24,12)+
c(40,32,20)c(40,24,20)s(16,32,20)--
t(32,48,28)c(16,16,12)s(48,48,20)++
t(24,56,12)t(24,24,20)+s(32,40,28)*
s(32,32,20)c(24,32,12)-t(48,32,12)-
s(48,32,20)t(32,32,28)c(32,48,12)--
s(16,24,20)c(16,40,12)-s(24,24,20)+
t(24,16,12)s(8,24,12)+s(16,16,20)*
s(40,40,20)c(40,48,12)-t(16,16,12)+
s(32,24,28)s(32,32,28)c(16,40,12)-*
s(24,8,12)c(24,40,12)+s(40,40,28)+
s(40,40,20)s(32,40,20)t(32,48,28)*+
s(24,24,28)s(40,24,28)*s(40,32,20)-
s(32,40,28)s(32,32,20)s(16,40,20)-*
s(16,40,20)c(32,32,28)*s(24,48,20)*
t(40,40,20)t(32,16,12)+s(16,32,20)-
s(16,16,20)s(40,40,28)s(40,48,12)-+
s(40,24,12)s(24,48,20)+s(32,40,20)*
c(24,32,20)t(24,24,12)-t(32,32,20)*
s(40,40,28)t(32,40,28)*s(32,48,20)*
s(24,32,28)t(32,40,20)s(8,16,12)+-
t(24,32,28)c(24,40,12)-s(16,40,12)-
s(40,24,20)s(48,24,20)*s(48,32,20)*
s(40,16,20)c(24,24,20)t(24,32,20)-+
t(32,32,28)s(24,24,28)*s(32,40,28)*
s(40,40,28)t(32,32,28)c(40,24,20)**
c(40,32,20)s(48,48,12)s(32,32,12)+*
t(24,48,20)c(32,24,20)+s(16,32,20)*
s(40,32,12)t(24,40,28)s(32,24,28)-+
s(24,48,12)s(24,32,28)c(32,24,20)*+
s(40,32,28)s(32,24,12)-t(32,32,28)-
s(40,24,20)s(40,40,28)c(24,24,20)--
s(40,40,28)c(32,32,28)t(24,48,28)**
s(40,32,28)s(32,32,28)t(48,24,12)-*
s(40,24,28)c(32,24,20)*s(40,24,20)*
s(32,32,28)s(40,40,28)s(24,32,20)--
s(24,24,28)s(32,24,20)t(32,40,12)+-
t(32,40,20)s(40,24,12)+c(32,24,12)-
t(16,16,12)c(40,40,20)+s(40,48,20)-
s(32,40,20)s(24,24,20)s(32,24,20)*+
s(24,40,28)s(48,48,20)-s(32,24,20)*
c(40,32,20)c(24,32,20)t(24,48,20)-*
c(48,48,12)s(24,32,20)t(24,24,20)*+
s(32,32,28)c(16,40,12)t(32,32,20)+*
s(40,32,28)s(48,48,20)*c(32,32,12)-
s(16,32,20)s(8,24,12)-c(24,32,20)*
s(24,8,12)s(24,32,20)+s(24,48,20)*
s(40,40,20)c(32,40,20)*t(32,48,20)+
s(24,32,28)s(40,32,28)t(32,32,28)*-
s(32,24,20)c(24,24,20)s(48,48,20)+*
c(24,32,20)s(40,40,20)s(24,32,28)**
s(48,40,20)s(40,16,12)c(32,48,12)+-
c(32,40,20)s(48,48,20)-c(24,32,20)*
c(24,32,20)t(32,40,28)*t(16,40,12)+
t(24,40,28)s(32,24,28)t(32,40,28)*+
s(16,32,20)c(32,32,20)s(48,24,20)--
t(24,40,28)s(40,48,20)t(40,24,20)+*
s(40,24,28)s(48,48,20)-s(32,32,28)*
s(24,40,28)t(24,40,12)-t(32,32,28)*
t(24,32,28)c(24,32,20)*t(32,40,28)*
s(24,40,20)c(40,40,20)*s(8,48,12)+
s(24,16,20)s(32,32,28)t(40,24,20)*+
t(32,48,20)t(32,24,12)+s(32,32,20)*
c(40,24,20)c(40,24,12)c(32,40,12)++
t(24,48,28)t(32,40,12)c(16,48,12)+*
s(40,24,20)s(48,16,20)*s(48,40,12)+
t(24,24,20)c(24,24,20)c(16,40,12)-*
s(24,40,28)c(32,32,12)-s(16,24,12)-
c(40,24,20)c(32,40,20)s(24,40,28)*-
s(24,32,28)c(40,16,12)+c(32,40,12)-
s(16,48,20)s(16,40,20)*c(40,40,20)+
s(32,40,28)s(16,40,20)-t(32,48,28)-
s(16,40,20)s(48,32,12)c(32,40,20)+*
c(48,48,12)t(40,24,12)+t(40,24,12)-
c(24,24,20)c(32,24,20)t(40,32,20)-*
c(32,24,20)s(40,24,20)*s(40,40,28)*
t(32,32,28)c(16,40,12)s(40,16,12)+*
s(16,48,20)s(24,48,20)*s(32,40,28)*
c(32,32,20)s(48,40,20)-s(24,40,28)*
c(32,24,20)s(32,32,20)t(32,40,28)**
c(32,40,20)t(32,32,12)-s(32,48,20)+
s(16,48,20)c(24,40,20)*s(32,24,28)-
s(40,48,20)c(40,40,20)*s(32,40,12)-
t(16,56,12)s(48,48,12)+c(32,32,20)+
s(16,48,20)s(24,40,12)-c(24,32,12)+
s(40,40,28)s(24,16,20)s(32,24,20)*-
s(40,32,28)s(32,24,28)*s(32,48,12)+
s(32,40,28)s(32,32,28)s(40,24,20)-*
s(8,16,12)t(24,56,12)+c(24,48,12)+
c(32,24,20)t(48,32,12)-c(40,32,12)-
c(40,24,20)c(16,24,12)t(32,32,20)+*
s(24,32,28)c(24,24,20)s(16,32,20)-*
t(48,16,12)t(24,40,28)+s(40,24,28)*
c(24,40,20)c(24,24,20)*s(24,24,20)*
t(40,32,20)t(24,32,12)+c(16,40,12)-
c(24,32,20)t(32,48,20)-s(24,32,20)*
s(24,24,28)s(32,24,28)*s(32,48,20)-
c(24,40,20)t(32,32,28)c(32,40,20)*-
s(40,32,28)s(24,32,20)t(16,16,12)-*
c(40,24,20)s(48,40,20)t(16,56,12)+-
s(48,40,20)t(32,48,28)s(48,32,20)--
t(24,48,28)s(48,48,20)s(16,32,20)+*
s(32,32,20)s(16,40,12)c(40,24,12)+*
s(32,40,28)s(24,40,28)*t(32,32,20)-
s(40,24,20)t(40,56,12)+c(24,32,20)*
s(24,24,28)s(40,16,12)-t(40,40,20)-
s(48,8,12)c(32,40,20)s(40,24,28)*+
c(24,48,12)t(32,32,20)+c(24,32,20)*
c(48,48,12)t(32,40,28)c(24,24,12)-+
c(16,32,12)c(16,16,12)+c(24,32,20)+
c(24,40,20)c(32,32,12)-t(24,32,28)*
c(24,48,12)s(16,48,20)s(24,32,28)*+
c(32,32,28)s(24,32,20)t(32,48,20)--
s(16,32,20)s(40,24,20)s(40,40,28)*-
c(40,32,12)s(40,32,28)t(40,32,12)-+
s(24,40,28)t(24,32,28)c(40,32,12)-*
s(32,24,20)s(24,32,28)s(24,48,20)*-
c(48,40,12)c(32,48,12)+s(48,24,20)-
s(32,16,20)c(32,32,28)t(32,32,20)-+
c(40,32,20)s(32,40,20)*s(32,16,20)-
c(32,40,20)s(40,48,12)t(40,24,12)+*
t(32,32,28)c(24,32,20)*t(16,40,12)-
s(24,32,28)t(32,32,28)s(16,40,20)-*
s(24,24,28)t(24,32,28)t(32,24,20)-*
s(24,40,20)c(40,40,12)-s(24,48,20)*
t(32,40,28)s(32,32,12)-s(32,40,28)*
s(32,40,20)t(32,32,20)c(24,40,20)*-
t(24,48,28)s(8,40,12)+t(32,24,20)+
c(24,32,20)t(24,40,28)t(32,48,28)**
c(40,24,20)s(24,32,28)s(40,40,28)*-
s(32,40,28)s(32,24,28)*s(32,32,20)*
c(24,24,20)c(40,40,20)-c(48,24,12)+
s(40,24,28)s(40,32,28)*c(32,40,12)-
s(24,40,28)t(32,48,28)s(40,40,28)**
t(24,56,12)c(24,40,12)+s(16,16,12)+
t(32,32,28)c(40,24,20)s(48,8,12)+*
s(8,48,12)s(40,32,20)c(32,48,12)-+
s(24,24,28)s(40,24,20)*t(32,32,28)*
c(16,24,12)s(40,24,20)+s(24,32,20)*
s(24,32,28)s(32,40,20)*t(16,32,12)-
c(32,40,20)s(16,40,20)s(24,24,28)+*
c(16,24,12)s(48,24,20)+c(40,32,20)*
s(48,16,20)s(40,8,12)t(32,56,12)+-
s(48,32,20)s(40,32,20)s(24,24,28)*-
s(32,32,12)s(24,40,20)s(24,48,20)*+
c(40,24,20)c(16,16,12)c(48,40,12)+-
s(24,24,20)s(40,32,12)-t(32,40,20)-
s(32,24,28)s(24,40,28)*s(40,32,28)*
t(32,40,20)t(24,56,12)+s(16,40,12)-
c(40,32,20)s(32,24,28)c(24,24,20)**
t(48,32,12)s(16,48,20)+s(24,48,12)-
s(16,40,20)s(32,40,28)*s(32,48,12)-
c(40,24,20)s(40,32,28)*c(40,40,12)+
c(24,40,20)c(32,24,12)-c(32,32,20)*
s(8,48,12)c(40,32,20)c(32,16,12)-+
s(24,48,20)s(32,40,20)c(24,40,20)**
s(24,24,28)t(32,32,28)c(24,40,20)**
c(32,32,20)s(32,24,28)*s(48,16,20)+
t(40,32,12)t(24,32,28)+s(40,32,28)*
s(16,48,20)t(24,32,12)t(32,32,12)+-
s(48,40,20)s(32,24,28)s(40,40,20)++
t(32,40,28)t(40,48,20)c(32,32,28)**
s(48,24,20)s(32,32,28)*s(48,32,20)+
s(32,24,20)s(48,24,12)-s(24,32,20)*
t(40,16,12)t(24,32,28)s(24,48,20)*+
c(24,40,20)s(32,32,12)-s(40,32,20)+
t(32,48,28)c(32,32,28)s(24,48,20)-+
s(40,48,20)s(24,40,28)s(32,16,20)-*
c(32,32,28)s(48,16,12)-c(48,24,12)-
s(32,48,20)t(32,48,28)s(32,40,28)**
s(40,32,20)s(40,32,28)s(24,24,12)-*
s(32,32,28)s(48,40,20)*t(16,40,12)+
s(32,32,28)c(40,48,12)t(32,40,12)+*
c(40,32,20)t(32,48,28)-s(24,32,28)-
c(40,40,20)t(32,32,28)*t(32,40,28)*
s(40,32,20)s(24,24,28)s(40,8,12)-*
s(8,32,12)s(40,16,20)s(48,16,20)*+
t(32,40,28)s(40,40,28)*s(32,32,28)*
s(48,48,20)s(24,32,20)+t(32,24,20)+
t(24,56,12)s(32,32,28)s(40,48,12)-+
s(48,40,12)s(24,16,20)+s(40,32,20)-
t(32,32,28)t(24,32,20)t(48,24,12)+*
t(32,40,28)s(32,32,20)*c(24,40,20)*
t(32,32,28)t(40,24,12)-s(32,40,28)*
s(32,48,20)s(32,32,20)+c(16,48,12)-
t(24,40,28)c(32,16,12)+t(32,40,20)*
t(24,40,20)c(24,24,12)s(16,40,20)+*
c(40,40,20)s(24,40,20)s(40,16,20)+*
t(24,40,28)s(16,32,20)c(32,40,20)+*
c(24,32,20)s(32,40,28)s(24,24,20)*-
s(24,40,28)t(24,32,28)s(8,48,12)-*
s(32,48,20)c(16,40,12)-s(40,48,20)*
s(32,32,28)c(24,40,20)c(24,48,12)-*
c(24,40,20)s(16,16,20)+t(32,48,28)+
s(40,24,20)c(40,32,20)c(24,24,20)**
s(24,40,28)c(40,32,20)s(48,24,12)-*
s(32,40,28)s(32,16,20)s(48,8,12)-+
s(24,40,20)s(48,40,20)-s(24,48,12)-
t(32,40,28)c(32,24,12)-t(32,48,12)-
s(40,32,20)s(40,40,20)*t(32,48,20)-
t(32,32,12)t(24,32,28)s(24,16,20)*+
s(32,24,28)c(40,40,20)-s(16,40,12)+
s(16,32,20)t(32,40,28)-c(24,48,12)+
c(40,32,20)s(24,24,12)-s(32,32,12)-
s(40,32,20)t(24,48,28)-t(32,32,28)+
s(16,32,20)s(40,32,20)t(24,32,28)*-
c(32,40,20)c(24,32,20)s(32,40,28)*-
t(40,48,20)c(24,24,20)-t(48,40,12)-
s(40,40,20)s(32,40,28)t(32,24,20)*-
s(24,24,28)s(40,24,12)-s(32,16,20)*
s(48,48,20)t(32,32,28)-s(16,16,12)+
c(24,24,20)t(32,48,28)t(32,32,20)-+
s(32,40,20)s(16,24,20)-t(32,40,12)-
s(40,48,20)s(24,16,12)+s(32,32,20)*
s(32,24,28)s(40,32,20)t(32,40,20)--
t(32,32,20)s(32,32,28)s(24,40,28)**
s(24,24,28)c(24,32,20)t(32,24,20)-*
s(40,32,28)t(32,48,20)t(40,48,20)+*
t(24,48,28)s(16,32,12)-t(24,32,28)+
s(32,32,28)t(24,16,12)-s(40,48,12)-
t(32,24,20)c(32,48,12)+t(32,48,20)*
s(16,40,20)s(16,32,20)*c(32,40,12)-
c(32,40,20)c(48,16,12)c(40,48,12)+-
s(32,40,20)s(24,24,12)s(40,32,20)+*
s(40,24,20)c(32,32,28)t(40,32,20)--
c(32,32,28)t(24,24,20)t(16,56,12)+*
t(24,40,28)c(48,48,12)-t(24,40,12)-
t(24,40,28)s(32,32,20)s(40,40,28)**
t(24,40,28)t(40,48,12)-s(40,24,28)+
s(24,24,28)s(40,32,28)-s(32,40,20)+
s(16,32,20)c(24,40,20)*s(24,24,28)*
t(48,48,12)t(48,32,12)+s(40,16,12)+
s(32,32,20)s(32,24,20)*s(24,16,12)+
s(40,40,28)t(24,40,28)t(24,32,28)**
s(40,48,20)s(24,16,20)t(40,48,20)+*
t(40,32,20)s(32,32,20)s(16,40,12)-*
c(32,48,12)s(24,16,20)c(32,24,20)++
t(32,32,28)c(24,24,20)*s(40,24,28)*
s(32,24,28)t(32,40,20)t(24,24,20)--
s(16,40,20)c(32,24,20)+c(24,40,20)*
t(24,24,12)s(32,16,12)c(32,40,12)++
s(24,32,20)c(40,40,20)t(40,24,20)--
s(16,24,20)s(40,40,28)t(32,40,28)*-
c(24,24,12)c(40,32,20)t(32,24,20)*+
s(40,24,20)s(32,48,20)c(40,32,20)*-
c(32,32,28)s(8,40,12)t(32,16,12)+*
t(24,32,20)s(24,8,12)s(48,24,20)+-
s(48,32,20)c(24,24,20)+s(24,32,20)*
s(24,40,20)t(24,40,28)s(40,40,20)-*
s(24,40,28)s(32,24,20)*c(32,40,12)+
s(40,24,28)t(24,24,20)s(40,24,12)--
t(40,40,20)s(32,24,12)-t(24,40,12)-
t(24,48,28)c(16,48,12)s(32,32,12)+*
s(24,32,28)t(24,24,20)s(40,24,12)--
s(40,40,28)s(16,48,20)-s(40,48,20)*
t(24,56,12)t(32,24,20)+s(48,32,12)-
s(48,48,20)s(24,24,28)+s(40,24,28)*
s(24,40,20)t(32,48,28)s(40,32,28)**
c(40,40,20)c(32,32,28)c(16,32,12)-*
s(40,40,28)c(24,32,20)s(16,24,20)-*
s(32,40,20)c(32,40,20)s(40,24,28)**
s(40,24,28)s(40,40,20)c(32,40,20)*-
s(48,8,12)s(16,32,20)t(32,32,28)*+
c(32,24,20)s(16,16,20)-s(48,16,20)*
c(24,48,12)t(32,32,28)+s(40,16,12)-
c(24,24,20)s(32,24,28)*t(24,48,20)-
c(32,32,20)c(32,40,20)*s(48,32,12)+
t(48,16,12)s(24,48,20)+c(48,24,12)+
t(32,48,28)s(48,32,20)c(40,40,12)-+
s(48,40,20)s(48,48,20)c(40,32,12)-*
t(32,40,28)s(40,32,28)c(32,24,20)**
s(16,16,20)s(32,40,28)t(24,32,20)*+
s(40,32,28)c(40,24,20)c(24,40,20)-*
t(40,48,20)s(48,32,20)c(40,40,20)*+
t(32,32,28)s(32,24,28)c(40,32,20)**
s(24,32,28)s(32,48,12)-s(24,24,12)-
t(32,24,20)s(32,16,20)t(48,32,12)+*
t(32,40,20)s(48,48,12)+s(24,40,12)+
s(24,40,12)t(40,40,20)+s(40,48,20)*
s(24,32,20)s(32,40,28)t(24,40,28)**
s(40,32,12)s(24,16,20)+s(24,32,28)-
t(32,32,28)s(32,24,28)s(24,16,12)-*
s(32,24,20)s(24,24,28)t(32,32,12)-*
s(24,48,20)c(32,32,20)s(32,40,28)**
t(40,32,20)t(24,40,12)s(24,32,12)+-
s(32,24,28)c(24,40,20)*t(48,16,12)+
c(24,24,20)c(40,24,12)-s(16,40,12)-
s(24,32,28)s(16,48,12)-t(32,32,28)+
s(24,32,20)s(32,32,28)c(32,40,12)-*
s(16,16,20)s(32,16,12)-c(16,32,12)+
c(32,32,20)t(32,40,28)t(32,48,28)+-
t(24,40,28)s(40,40,12)-s(40,32,20)-
s(24,32,28)c(24,24,20)c(40,24,20)*-
s(32,16,20)c(40,32,12)+s(32,40,28)*
c(48,48,12)t(24,48,20)+s(32,40,12)-
s(32,40,28)s(32,24,28)s(40,32,28)*-
s(24,8,12)s(40,8,12)s(8,32,12)++
s(24,32,28)c(24,24,20)s(24,40,20)-*
c(16,40,12)s(24,24,12)+s(32,32,12)-
c(40,24,20)s(24,48,20)-t(24,24,20)+
s(8,8,12)c(32,40,12)+t(40,24,20)-
s(8,8,12)t(40,56,12)+t(40,24,12)+
s(24,16,20)s(32,32,12)-t(24,16,12)-
s(24,24,20)s(40,8,12)s(24,8,12)+-
c(40,40,20)c(24,40,20)*s(40,32,28)*
s(32,24,28)c(32,24,12)-t(32,32,28)*
c(16,32,12)c(24,24,20)s(40,16,20)*+
c(24,24,20)s(32,24,20)+s(24,32,20)*
t(24,40,28)t(24,40,12)-s(32,24,28)-
s(24,32,20)t(24,32,28)s(32,48,20)-*
t(32,40,28)t(24,40,28)*s(24,8,12)+
t(32,48,28)s(24,48,20)t(40,48,20)-*
c(32,48,12)c(16,24,12)s(40,16,20)++
s(24,32,28)c(32,24,20)-t(24,40,28)*
s(48,40,20)t(40,16,12)c(32,40,20)+*
s(40,24,20)s(32,24,20)s(24,24,20)**
t(32,48,20)s(16,32,20)-t(32,32,12)-
s(24,40,20)s(24,32,20)s(32,40,28)**
t(16,48,12)t(24,40,12)+c(24,16,12)+
c(32,40,20)s(48,40,20)-c(16,24,12)+
t(40,48,20)c(32,32,20)s(24,24,20)*+
s(24,24,28)s(16,32,20)t(32,40,20)--
t(32,32,28)s(48,32,20)c(32,16,12)--
t(40,48,20)s(16,48,20)s(24,32,28)*+
s(32,40,20)s(40,16,20)-s(24,48,20)*
s(40,40,28)s(40,32,28)t(24,32,28)**
c(40,40,20)t(32,32,28)+s(16,40,20)-
c(40,40,20)c(32,40,12)-c(40,24,20)-
c(32,32,20)c(40,32,20)*t(32,24,20)*
s(16,16,20)s(48,16,20)+s(16,24,20)*
s(24,24,28)s(24,40,20)-s(16,16,20)-
s(32,32,28)c(24,40,20)t(24,48,20)-*
c(24,32,20)c(24,24,20)c(40,24,20)**
t(24,32,28)s(40,24,28)c(32,32,28)**
s(24,40,28)c(32,32,20)-s(40,24,20)+
s(16,32,12)s(48,24,20)c(32,32,20)*+
t(48,56,12)c(40,32,20)c(24,16,12)-+
s(48,24,20)t(40,56,12)+c(40,40,12)-
c(40,40,20)s(48,32,20)s(48,40,20)**
t(16,40,12)c(24,40,12)+t(40,24,20)-
s(24,24,28)c(32,32,12)-s(32,24,20)*
t(40,48,12)c(40,24,20)c(24,16,12)-+
s(32,40,28)s(24,24,28)*c(48,32,12)-
s(40,40,20)t(32,48,28)c(24,40,20)**
s(32,24,20)s(32,40,28)+s(24,24,20)*
c(32,40,20)s(40,40,28)c(24,32,20)-*
t(24,40,28)t(32,48,28)*t(16,40,12)+
s(32,16,20)s(16,16,20)s(32,8,12)--
t(24,40,20)s(16,24,12)+s(32,24,28)*
c(40,24,20)c(48,16,12)-t(24,32,20)-
c(40,24,20)s(32,40,28)c(40,40,20)+*
s(40,32,28)s(16,24,20)-s(40,48,20)+
c(24,24,20)s(24,40,20)*s(8,40,12)-
s(16,40,20)t(24,40,28)s(40,32,20)-*
c(32,24,20)s(40,32,20)-t(16,16,12)+
s(48,40,20)t(32,48,12)+s(32,32,28)-
s(32,40,28)s(24,40,28)*s(40,24,28)*
s(16,16,12)s(32,32,20)+c(40,24,12)-
s(16,24,20)s(24,24,20)*c(32,32,12)-
s(24,32,20)c(24,40,20)*t(24,40,12)-
s(32,40,28)c(24,40,20)c(40,32,20)*-
s(40,48,20)t(40,40,20)*s(32,48,20)+
s(32,40,28)t(24,48,12)-c(40,40,20)-
s(40,24,28)t(32,32,28)s(40,16,20)-*
s(48,48,20)c(32,32,28)t(24,48,20)-+
t(32,32,20)c(40,24,20)s(32,24,20)-+
s(48,24,20)c(48,24,12)-t(16,56,12)+
s(40,16,20)c(40,32,20)t(40,48,20)-*
c(24,32,20)c(24,48,12)s(32,16,20)+*
s(40,48,20)t(40,40,20)+s(24,32,28)-
c(16,16,12)c(40,32,20)+s(40,24,20)-
s(32,24,20)t(24,48,28)-c(32,32,12)-
c(40,24,20)t(48,32,12)-c(24,16,12)-
c(24,32,12)t(24,16,12)+c(32,40,12)+
s(32,40,20)s(40,40,28)t(40,32,12)-*
s(16,24,12)s(40,48,20)c(48,40,12)-+
c(40,24,20)s(24,16,20)-s(48,40,20)-
t(40,32,20)s(40,32,20)c(40,40,20)**
t(32,32,28)c(32,16,12)t(16,48,12)+-
c(16,40,12)t(40,48,20)t(24,40,20)-+
t(24,48,28)s(40,40,28)s(32,48,12)--
s(32,24,28)s(40,32,20)*c(24,40,20)+
s(40,24,20)t(32,32,28)s(24,24,20)*-
s(48,32,20)s(40,24,28)*t(48,32,12)-
s(48,8,12)s(40,40,20)s(40,48,20)*+
t(24,32,28)s(8,16,12)+c(16,40,12)-
t(24,48,20)s(24,48,20)t(24,40,28)**
c(32,16,12)s(48,40,20)+s(32,24,20)*
c(40,24,20)c(32,32,12)s(16,16,12)+*
t(24,32,28)s(40,16,20)c(48,16,12)--
s(48,8,12)t(24,32,28)+c(24,48,12)-
s(32,24,28)t(32,40,28)c(32,40,20)*+
s(48,16,20)c(24,24,20)c(24,32,20)+-
s(32,32,28)c(48,40,12)-c(48,24,12)+
c(32,32,12)s(16,24,12)+c(32,16,12)-
s(32,40,12)c(24,32,20)c(40,40,12)-+
s(40,32,20)s(40,24,20)*t(48,40,12)+
s(40,32,28)s(40,40,28)+s(32,32,28)*
s(32,48,20)s(32,16,12)+s(40,32,28)-
c(32,40,20)c(40,40,12)s(32,32,20)+*
s(40,32,28)s(24,32,20)*c(40,32,20)*
t(32,48,28)t(24,40,28)s(16,24,20)-+
s(24,32,28)s(32,32,12)-c(32,32,20)*
s(32,40,20)c(16,40,12)-s(24,40,20)*
t(32,40,20)s(48,24,20)s(40,32,20)*-
s(24,24,12)s(40,16,20)+s(40,40,12)+
s(40,32,28)s(32,40,28)*t(24,40,28)-
c(32,40,20)s(24,32,20)*c(32,24,20)*
s(32,40,20)s(48,32,20)-s(32,24,28)+
s(32,48,20)t(16,56,12)-s(40,40,20)*
t(24,32,28)c(24,40,20)t(32,48,12)-*
s(40,16,20)t(24,16,12)-s(32,40,20)-
c(32,40,20)s(32,40,28)s(32,24,20)-*
s(48,40,20)t(24,40,28)s(16,16,20)--
c(24,40,20)t(32,40,12)s(32,16,20)++
t(40,32,20)c(32,24,12)+t(32,32,20)*
c(16,16,12)t(24,40,28)t(32,40,28)*+
s(8,8,12)t(32,40,20)+c(24,32,12)-
s(24,32,20)s(16,48,12)-s(24,40,28)*
c(40,32,20)s(48,32,20)+s(32,24,20)+
s(32,40,20)c(32,40,12)-c(32,32,20)+
s(24,40,28)c(32,40,20)c(16,32,12)-*
c(32,24,20)s(32,24,28)s(24,48,20)-*
s(24,32,20)t(40,32,20)c(32,24,12)+*
s(24,24,20)s(48,32,20)c(40,40,20)*-
c(32,24,20)c(24,16,12)-s(40,16,20)*
t(24,32,28)s(32,24,20)*s(40,24,28)*
c(24,48,12)s(24,24,28)+s(16,48,20)*
s(16,48,12)s(32,32,20)t(24,48,28)-+
s(32,40,20)s(40,32,20)s(24,40,28)**
c(32,24,20)s(24,24,20)*s(32,40,20)-
c(40,24,20)s(32,24,28)*s(32,16,12)-
s(32,16,20)s(16,40,20)+s(32,32,28)*
s(24,40,20)c(32,32,20)*c(16,24,12)+
t(24,48,12)s(24,32,20)+t(32,48,28)*
s(32,48,20)s(32,24,20)+c(16,48,12)-
s(16,24,12)t(32,48,28)s(24,32,12)-+
s(40,40,28)s(40,32,20)s(32,24,20)**
s(32,24,20)t(32,40,28)c(24,24,12)+*
s(32,16,12)s(24,32,12)+s(24,32,20)*
t(32,48,28)c(24,24,20)-c(32,40,20)*
c(32,40,20)s(16,24,20)c(24,32,12)-+
c(32,40,20)c(24,24,20)*s(16,16,20)-
s(16,40,20)t(32,48,20)+s(32,32,20)*
t(32,40,28)t(24,32,20)s(48,48,12)+*
c(24,24,20)t(32,40,20)-t(24,24,20)*
c(32,24,20)t(32,40,12)-c(24,32,20)*
s(40,24,28)c(48,40,12)-s(40,32,28)*
s(48,32,12)s(40,24,20)t(32,32,28)*+
c(40,48,12)t(16,24,12)+s(48,40,12)-
s(32,48,20)s(16,40,12)-c(32,40,20)*
s(48,40,20)s(16,24,12)+s(40,32,28)*
c(24,32,20)s(40,24,20)*s(48,8,12)+
s(32,24,28)s(48,16,20)-c(16,40,12)-
c(48,40,12)t(24,32,12)+c(40,24,20)+
t(32,32,12)s(48,16,20)t(16,48,12)++
t(32,48,28)t(40,48,12)-c(40,32,12)-
c(32,32,28)c(32,40,20)t(32,48,20)--
c(32,32,20)s(16,48,20)s(24,32,20)+-
c(32,40,20)t(24,40,12)-s(40,16,20)-
t(24,32,28)t(16,16,12)c(32,32,20)+*
s(32,24,28)c(24,24,20)*t(40,32,20)+
s(40,40,28)t(48,40,12)-s(40,40,20)*
s(24,40,20)s(32,40,20)+s(32,40,12)-
s(48,48,20)s(40,32,28)c(24,24,20)-*
s(40,40,28)t(24,40,28)*s(32,16,20)-
c(24,32,12)t(32,40,28)c(24,48,12)-+
s(40,40,20)s(32,48,20)s(40,48,20)**
s(40,40,28)t(24,40,28)s(8,8,12)+*
t(32,48,28)t(40,32,20)+s(48,40,20)*
c(24,24,20)c(40,32,20)c(32,24,20)*-
c(24,32,20)s(32,32,20)c(24,48,12)-*
c(24,48,12)s(16,40,20)+s(32,40,28)*
c(32,32,28)s(24,32,12)s(48,8,12)+*
s(24,24,12)s(32,48,20)c(24,40,20)*+
c(40,40,20)s(40,24,20)t(16,40,12)+-
s(32,40,28)t(32,24,20)*c(16,16,12)+
c(32,32,20)s(16,32,20)c(24,40,12)-+
t(24,48,28)t(24,32,20)c(32,48,12)+*
s(40,40,20)s(40,32,28)s(32,40,20)**
s(32,24,20)s(32,24,12)-s(48,32,12)-
s(48,16,12)s(40,32,12)+s(40,16,20)*
s(40,32,28)s(48,32,20)s(48,16,12)-*
t(24,40,28)c(24,32,20)t(40,32,12)-*
s(32,48,20)t(16,48,12)-s(32,40,20)*
s(48,16,20)t(24,32,28)+s(40,24,28)*
s(24,16,20)t(32,32,28)+c(32,24,20)*
c(24,32,20)s(24,48,20)-t(32,16,12)-
t(32,32,20)t(24,40,28)+s(16,40,20)*
s(32,40,28)c(40,32,12)-s(16,40,20)*
s(24,24,20)t(16,48,12)+s(40,24,28)*
t(32,40,28)c(32,32,20)t(32,40,12)-*
s(24,24,20)t(32,32,28)c(48,48,12)-*
s(24,40,28)s(40,24,28)c(48,16,12)--
s(40,32,20)c(40,24,20)*t(32,32,20)*
s(32,24,28)s(16,48,20)-t(48,16,12)-
s(40,32,28)s(32,16,20)c(40,24,20)**
s(8,24,12)c(16,48,12)c(32,16,12)++
t(32,16,12)t(32,48,28)s(48,48,20)-+
t(24,48,20)s(32,24,20)-s(40,24,20)+
s(32,32,20)s(24,24,28)c(32,32,20)**
t(32,40,28)s(40,40,20)*c(48,16,12)+
s(16,16,20)t(32,24,20)-s(24,24,28)*
t(32,48,12)t(40,32,20)+c(24,40,20)*
s(40,24,28)s(40,16,20)s(24,24,12)-*
c(40,24,20)s(32,16,20)s(32,32,28)**
s(16,40,12)c(24,24,20)+s(32,24,12)-
s(48,24,20)s(16,32,20)+s(32,48,20)-
s(40,48,20)c(32,40,20)s(24,32,28)*-
c(32,40,12)s(16,48,20)+t(24,24,20)-
c(32,32,28)s(40,24,28)*t(48,24,12)-
s(32,40,28)c(24,32,20)*s(40,32,20)-
s(40,24,28)t(24,48,28)-s(32,24,28)*
t(24,48,20)s(24,24,20)-c(40,32,20)+
c(48,16,12)t(32,32,12)+t(24,40,28)+
t(32,32,28)s(40,32,20)*c(32,48,12)-
s(32,40,20)s(48,48,12)-s(24,40,12)-
t(40,24,20)t(40,40,20)s(48,48,12)+-
t(32,32,28)t(24,32,28)*s(40,48,20)-
s(40,24,28)t(32,32,28)*t(32,40,12)-
s(32,16,20)s(40,32,20)-c(24,24,12)-
t(32,40,28)t(24,32,12)-s(32,32,12)-
t(48,40,12)s(32,16,20)+s(16,24,12)-
s(16,16,20)s(24,24,28)s(32,40,28)-*
s(24,8,12)c(32,40,20)s(40,40,28)*+
t(32,40,28)t(24,48,12)-c(24,24,12)-
c(32,24,20)s(32,40,28)*c(24,32,20)+
s(40,32,20)s(48,32,20)*s(48,40,20)*
s(48,40,20)c(40,40,20)s(16,40,20)-*
t(32,32,28)s(16,24,20)c(24,32,12)+-
s(48,16,12)s(8,8,12)+s(16,24,20)-
s(32,32,28)t(40,32,12)-c(24,48,12)-
s(32,16,20)s(24,32,20)-t(48,16,12)-
s(24,32,28)t(24,40,28)*s(40,48,20)-
c(40,40,20)c(32,32,20)*c(32,24,20)*
s(48,40,12)s(32,40,20)+c(24,40,20)+
t(32,40,28)t(24,48,28)t(16,48,12)-*
s(32,24,28)s(24,8,12)-s(24,32,28)*
c(24,24,20)s(24,32,28)*t(24,32,28)*
s(32,40,28)c(40,40,20)t(24,32,28)*-
t(24,24,20)s(24,8,12)+c(32,40,12)-
c(24,40,20)s(32,32,28)s(40,32,28)**
c(40,40,20)s(24,40,20)c(32,40,12)--
t(16,56,12)c(32,40,20)t(16,40,12)-+
s(24,32,28)t(32,48,20)+s(40,24,20)*
s(32,48,20)c(24,32,20)s(24,40,28)**
s(32,16,20)t(16,32,12)+c(40,32,20)*
s(48,24,20)s(40,32,28)s(32,32,28)**
t(24,40,28)s(32,32,20)*t(40,48,20)-
c(24,40,20)s(32,40,28)c(32,32,20)*-
s(24,32,28)c(16,16,12)s(40,40,28)+*
t(24,24,20)t(32,56,12)+t(24,48,28)-
s(24,48,20)c(24,40,20)*s(24,48,12)-
s(40,48,20)s(16,48,20)c(24,40,20)*-
s(16,48,20)t(32,40,28)+s(40,32,20)*
s(40,24,28)c(40,24,12)s(24,48,12)+*
s(48,48,12)t(32,48,28)+t(24,48,28)*
s(16,16,20)s(40,40,20)s(24,16,20)+*
t(32,32,20)t(24,56,12)t(24,48,12)++
t(40,32,20)s(24,40,12)-t(32,24,12)+
c(24,24,20)s(24,40,28)s(40,32,20)-*
c(16,48,12)s(32,16,20)+s(24,24,20)*
c(24,32,20)t(24,40,20)c(24,24,12)--
s(32,24,20)c(24,24,20)*s(40,48,20)+
s(32,40,28)s(16,40,20)-s(40,24,28)*
c(24,40,20)s(48,32,20)+s(40,24,28)*
c(32,32,28)t(32,40,20)-s(40,40,20)*
c(32,32,28)c(24,48,12)-s(32,24,28)*
t(40,24,20)t(24,40,28)+s(24,40,20)-
s(40,16,20)s(24,24,28)s(8,24,12)-*
c(32,32,20)s(24,40,28)c(40,40,20)+*
t(40,40,20)s(32,40,28)t(24,40,28)*+
t(24,48,28)c(24,32,20)*s(16,24,12)-
c(24,24,20)s(40,16,12)-t(40,48,12)+
t(32,40,28)s(40,40,20)*s(48,24,20)-
c(32,16,12)t(32,32,28)s(24,24,20)*+
t(24,48,28)s(32,40,28)*t(32,32,28)*
c(24,32,20)c(40,24,20)-t(16,24,12)-
s(32,32,20)c(24,24,20)*s(24,8,12)+
s(40,32,20)s(48,32,20)t(32,48,28)-*
t(40,32,12)c(32,48,12)+t(32,48,28)*
c(40,40,20)s(40,16,20)s(40,32,12)+*
c(32,40,20)s(40,48,20)*t(40,32,12)-
s(8,32,12)c(48,48,12)+c(16,32,12)-
s(24,24,20)s(16,32,20)c(24,32,20)**
s(16,24,20)s(24,32,20)+s(40,40,28)-
s(32,24,28)s(40,24,28)*c(16,24,12)-
t(32,32,28)c(32,32,20)s(40,32,20)**
t(32,48,28)s(48,48,20)-s(24,40,20)*
s(16,24,20)c(32,32,12)+c(32,32,20)*
s(40,32,28)c(24,32,20)*s(48,32,20)-
t(32,40,28)c(40,32,20)c(24,32,20)*-
c(40,32,20)s(24,40,12)-s(48,48,20)*
c(24,40,20)s(32,40,28)t(40,32,12)-*
s(32,48,20)s(48,48,20)c(32,40,12)--
s(24,40,20)c(40,48,12)-c(32,32,20)*
s(40,24,28)c(24,32,20)-s(32,16,20)-
c(24,32,20)t(32,40,28)*t(24,40,28)*
c(40,24,20)s(32,32,20)*s(40,48,20)-
s(48,48,20)s(40,48,20)*s(40,32,28)*
c(40,40,20)s(24,16,12)+s(24,32,20)*
s(24,24,20)t(24,32,12)-c(32,32,12)-
c(24,32,20)s(32,32,28)*s(40,32,20)*
t(24,40,28)t(40,40,20)-s(32,24,28)*
c(32,40,20)s(24,40,28)*s(40,24,28)*
c(32,24,20)s(24,24,20)*s(32,24,20)*
s(48,40,20)c(32,32,28)*c(32,24,20)-
t(32,48,28)s(32,16,20)s(48,24,12)-+
c(40,48,12)t(24,40,28)+c(40,40,20)*
s(40,24,20)c(32,32,20)t(24,24,20)+*
s(16,24,20)s(16,40,20)*t(48,32,12)+
s(32,24,20)s(16,32,20)t(16,24,12)--
s(48,40,20)s(32,32,28)*t(40,40,20)+
s(32,48,20)s(24,24,20)-t(24,40,28)*
s(24,40,28)s(40,24,12)-s(8,40,12)-
c(24,32,20)t(32,48,28)-t(32,24,20)+
s(40,24,28)s(48,40,12)t(40,16,12)+*
s(24,32,20)t(24,40,28)s(40,40,28)**
s(24,32,20)s(32,32,20)*s(16,16,20)+
s(24,32,20)t(32,32,28)t(24,32,28)**
s(24,32,28)s(16,40,20)s(16,48,20)*-
s(40,16,20)s(40,48,20)+s(32,48,20)*
c(40,40,20)c(32,32,20)*t(32,48,28)*
t(40,16,12)s(24,40,20)+t(48,16,12)+
s(40,40,28)s(24,32,20)s(16,32,20)+-
s(24,48,20)t(32,48,20)s(32,32,12)--
s(48,40,20)s(16,24,20)s(16,32,20)*+
t(40,24,20)t(16,16,12)+c(32,40,20)-
s(32,32,28)s(32,24,20)-c(40,24,20)+
s(32,24,20)s(32,24,20)s(48,24,20)*-
c(32,16,12)t(32,48,28)t(24,40,20)-+
s(32,24,28)s(16,32,20)-c(24,40,20)-
t(24,48,20)c(24,40,20)c(32,40,20)**
s(40,16,20)s(40,24,28)c(48,24,12)-*
s(16,16,20)c(48,16,12)+s(16,32,20)*
s(16,24,20)s(40,40,28)s(16,24,12)+-
c(32,40,12)c(32,16,12)+t(24,40,20)-
s(48,40,20)s(32,24,20)+c(24,24,20)*
s(40,24,28)t(16,32,12)+t(40,40,20)-
c(24,32,20)c(24,48,12)-c(24,40,20)*
s(40,8,12)t(24,32,28)+s(24,24,20)*
s(16,48,20)s(8,48,12)c(16,16,12)+-
t(32,48,28)s(24,48,12)-s(48,24,20)-
c(32,32,20)s(32,24,28)c(40,32,12)-*
s(24,24,20)s(32,16,20)+t(32,40,20)+
s(32,40,28)s(24,40,12)-s(32,32,12)-
s(32,40,20)c(24,40,20)*s(16,40,20)*
c(40,24,20)s(48,32,20)*s(32,16,20)-
s(40,48,20)s(24,32,28)t(32,48,28)*+
s(24,16,20)c(24,40,20)s(40,40,28)*+
c(32,40,20)s(24,32,28)*s(24,48,20)*
c(40,32,12)c(24,40,20)+t(24,48,28)*
s(16,16,20)s(32,24,12)-t(32,48,28)+
s(32,32,20)s(16,16,12)s(8,16,12)++
s(32,16,20)s(32,40,20)c(40,24,20)+*
c(40,40,20)c(24,40,20)*t(32,40,20)+
s(48,24,20)s(32,24,28)s(40,32,28)**
c(24,24,20)c(32,40,12)-s(16,48,20)-
s(40,32,20)s(48,40,20)c(40,24,12)--
s(24,24,28)s(16,32,20)*t(32,24,20)-
s(32,32,28)s(48,40,20)s(40,40,20)**
t(24,32,28)t(32,32,20)-c(24,24,20)+
s(48,40,20)s(48,32,20)s(24,24,28)--
s(24,40,20)s(32,24,28)t(24,40,28)*-
s(16,16,20)c(32,24,20)s(32,32,20)--
s(32,48,20)s(32,16,20)+s(24,32,28)-
c(40,40,20)c(32,24,20)*t(40,32,20)+
s(40,32,28)s(40,48,20)*t(32,40,28)*
c(32,40,20)c(24,32,20)s(48,40,20)-*
s(32,48,20)s(48,32,20)s(48,24,20)*+
c(24,40,20)t(24,32,28)+s(8,48,12)-
s(32,32,28)s(16,48,20)c(24,32,12)+-
s(32,24,20)s(24,24,28)s(40,32,20)**
s(40,24,28)s(32,24,28)*t(24,40,28)*
c(48,48,12)s(40,32,28)c(32,32,20)*+
s(48,48,20)s(40,40,28)*t(32,40,12)-
t(24,48,28)s(16,24,20)s(8,40,12)--
c(32,32,28)t(32,48,28)*c(24,32,12)-
t(40,32,20)t(32,48,12)s(48,48,12)+-
c(32,40,20)s(32,40,28)s(24,32,20)**
c(32,32,28)s(32,40,20)-c(40,24,12)-
c(32,32,28)s(24,40,20)s(16,40,20)+*
c(16,32,12)c(40,40,20)s(32,48,12)-+
t(24,32,28)s(32,24,20)*s(40,24,28)*
s(40,40,28)s(16,32,20)-s(40,16,20)-
s(40,32,20)s(32,48,20)s(24,32,20)--
s(24,24,20)s(32,24,20)c(24,40,20)*-
c(32,24,20)s(32,32,12)-c(40,32,20)-
s(24,32,28)t(32,32,28)*s(40,40,28)*
c(40,24,20)s(32,40,20)*s(40,16,12)+
t(32,48,28)t(24,48,28)+t(32,40,28)*
s(24,48,20)s(32,48,20)*s(16,24,20)-
t(32,40,28)c(24,40,20)*s(24,48,20)*
c(40,32,12)c(24,32,20)c(40,40,20)*+
s(24,16,20)s(24,32,28)s(8,16,12)-*
s(32,16,20)s(24,16,20)*c(40,16,12)-
s(48,24,20)s(48,16,20)*c(32,24,20)+
s(40,32,20)t(24,40,28)+s(32,32,28)*
s(40,24,28)c(32,32,28)t(40,48,20)-*
c(24,24,20)s(40,24,12)-s(32,40,20)-
s(32,40,28)s(24,40,20)s(40,48,12)-*
t(32,40,28)t(24,48,28)s(24,32,12)-*
t(40,48,12)s(32,24,28)c(40,40,20)*+
t(32,40,28)s(24,24,28)*c(24,40,20)*
s(16,48,20)s(48,40,20)t(40,48,20)-+
s(40,24,28)s(32,16,20)*t(32,40,20)-
s(24,40,28)t(32,40,28)*t(32,24,12)-
s(48,16,12)c(40,32,20)+t(32,40,20)*
t(24,40,28)s(40,32,28)t(32,32,28)*-
s(40,16,20)c(48,32,12)-s(32,32,20)-
t(32,32,28)c(24,32,20)*t(24,40,20)*
t(32,48,28)c(40,24,20)s(40,16,12)--
s(24,24,20)c(32,24,20)s(48,48,20)-*
c(48,24,12)s(48,16,20)c(32,32,28)*+
s(24,40,28)s(32,48,20)*s(24,40,20)*
s(48,8,12)s(24,48,12)+s(40,32,20)-
s(32,16,20)c(40,24,20)*t(40,32,12)-
s(40,40,28)t(32,40,28)-c(40,40,20)*
c(40,40,12)c(40,16,12)+s(24,48,20)-
c(32,32,28)t(24,40,20)s(40,48,12)--
c(32,32,20)t(48,32,12)-s(32,24,20)*
s(24,32,28)t(16,24,12)-s(24,32,20)*
c(24,32,20)s(32,24,28)s(16,24,20)**
t(32,32,28)c(48,32,12)-c(24,40,20)*
t(32,40,12)s(24,24,12)+t(32,48,12)-
s(48,32,20)t(32,32,28)s(16,48,20)-*
s(16,40,12)s(48,24,12)+c(32,24,12)-
s(48,40,12)s(32,16,20)s(16,16,12)-+
s(32,24,28)s(32,40,28)-s(16,24,12)-
s(40,16,20)s(24,24,12)+c(32,24,20)*
s(8,8,12)t(24,24,12)c(48,48,12)++
s(32,32,20)s(24,32,20)s(24,48,12)-*
s(48,16,12)c(24,24,12)+t(48,48,12)+
t(24,48,20)t(40,48,12)+s(24,24,28)-
s(40,32,28)s(40,40,20)t(32,40,12)--
s(24,24,28)c(24,40,20)*s(32,24,12)-
s(40,24,28)t(24,32,28)s(8,40,12)-*
s(32,8,12)s(24,32,28)+t(24,40,28)*
c(32,40,20)c(40,40,12)-t(24,48,12)-
c(32,40,20)t(24,24,12)-s(48,48,20)*
s(32,32,20)t(24,40,28)t(32,40,28)**
s(48,32,20)t(48,16,12)c(16,32,12)+-
t(40,24,20)t(32,16,12)+s(24,40,28)-
t(16,32,12)c(40,40,12)+s(8,48,12)+
s(40,24,28)s(24,32,28)t(32,40,20)-+
t(32,48,28)s(32,24,28)-t(24,48,28)*
c(24,32,20)c(16,24,12)t(32,32,28)+*
s(32,24,28)s(48,40,12)s(24,40,28)+*
s(32,16,20)t(32,32,28)s(40,24,20)*-
s(32,24,28)s(48,48,12)c(24,48,12)+-
c(40,32,20)c(24,40,20)c(24,32,20)**
c(48,40,12)s(32,40,28)t(24,48,28)*+
c(16,32,12)t(32,32,20)+s(40,24,20)-
s(32,48,20)s(32,32,28)c(48,32,12)--
t(24,48,28)c(32,40,20)t(40,32,12)-*
t(32,48,20)c(32,32,28)c(40,24,20)-*
t(24,32,28)s(24,24,20)s(16,24,20)*-
s(16,8,12)s(48,40,12)+c(32,40,12)-
s(32,24,20)t(24,24,20)*t(24,48,12)+
s(32,32,20)c(40,32,20)s(24,48,12)+*
c(32,32,20)c(16,48,12)s(40,24,20)+-
s(32,32,20)t(40,32,20)t(32,32,20)+*
t(40,48,20)s(40,24,20)s(32,8,12)--
c(16,40,12)s(48,24,20)+s(24,40,28)*
t(32,32,28)s(24,40,20)c(32,32,20)**
s(48,40,20)s(40,24,28)t(24,40,20)-*
c(24,32,20)s(32,8,12)+t(32,48,28)*
s(24,40,20)c(24,24,12)-s(48,40,20)-
s(24,40,28)s(16,8,12)c(16,24,12)+-
t(48,24,12)s(16,32,12)c(16,16,12)++
c(40,24,20)s(32,16,20)s(40,16,20)**
t(32,40,28)s(24,32,28)t(24,32,20)-+
s(24,32,28)s(48,48,20)-c(40,24,20)-
c(24,40,20)s(32,40,28)*s(24,16,20)-
c(40,40,20)s(24,32,28)s(40,32,28)**
s(24,32,28)s(40,24,20)*s(24,8,12)+
t(32,32,28)t(32,32,12)-t(32,24,20)*
c(32,24,20)c(40,24,12)-t(24,32,20)*
c(32,40,20)t(32,40,12)s(8,40,12)++
c(24,32,12)s(16,48,12)+c(32,32,20)*
s(32,24,20)s(24,24,20)*s(40,32,28)*
s(40,32,28)s(32,24,28)*c(24,40,20)*
s(32,32,28)t(16,32,12)-s(24,32,20)*
s(24,48,20)s(40,24,28)s(32,16,20)-+
c(40,24,20)c(32,24,20)t(40,32,12)-*
t(32,16,12)t(40,24,20)+t(40,32,12)+
s(48,40,12)s(16,48,20)s(24,40,20)*+
s(40,32,28)s(32,24,20)t(16,32,12)--
s(32,32,28)c(24,32,20)s(16,16,12)--
s(16,40,20)t(24,40,20)s(40,40,28)+*
c(24,40,20)s(24,16,12)c(24,24,12)+-
s(40,24,12)s(40,32,28)t(32,40,28)*+
t(24,32,28)s(40,48,20)c(24,40,20)*-
s(24,40,28)s(24,24,12)-s(32,48,20)*
s(48,32,20)s(40,24,28)s(32,24,20)-*
s(40,32,28)s(40,24,28)s(32,16,20)**
s(32,24,28)t(24,32,28)t(32,48,28)*-
s(48,16,20)s(24,32,28)+s(16,16,12)-
c(40,40,20)s(40,40,28)c(32,24,12)-*
s(16,24,20)c(24,40,12)-s(32,24,20)+
c(40,40,20)s(24,24,20)c(40,24,12)+*
s(32,24,28)t(40,48,12)+t(32,48,28)-
s(24,40,28)s(24,32,28)*s(48,48,20)-
s(40,48,12)c(24,24,20)+c(48,48,12)-
s(40,40,28)s(24,32,20)*c(40,32,20)*
t(40,32,12)s(40,40,20)s(48,48,20)*+
s(32,32,28)s(24,32,20)c(40,40,12)--
s(24,24,28)c(32,32,28)*s(24,32,28)*
c(32,48,12)s(32,24,28)s(40,32,28)*+
s(24,48,20)s(24,32,20)-s(8,16,12)+
s(48,40,20)c(40,48,12)-t(16,32,12)+
c(16,32,12)c(40,32,20)s(32,32,20)*+
c(32,32,28)c(24,32,12)t(24,40,20)+-
t(32,32,28)c(40,40,20)t(40,48,20)-*
c(40,40,20)s(48,16,20)s(32,24,20)+*
s(48,40,20)t(40,40,20)+s(24,40,28)*
s(24,48,12)c(40,40,20)+s(40,24,28)-
c(32,48,12)t(32,40,20)+t(48,48,12)-
s(32,32,20)c(16,16,12)t(32,24,12)+-
s(32,48,20)c(24,24,20)c(40,48,12)++
c(24,40,20)c(24,48,12)s(8,48,12)+*
s(16,32,12)c(40,24,20)s(24,32,20)*+
c(32,24,20)t(32,48,28)-s(40,24,20)*
s(32,32,28)s(32,48,20)s(24,32,12)-*
c(32,32,20)t(32,24,20)c(40,40,12)-*
t(40,40,12)s(16,32,20)+t(24,32,28)*
s(24,32,28)s(40,32,20)-s(16,40,20)*
c(40,40,20)t(32,48,12)-t(40,32,20)-
t(24,32,28)t(24,40,28)*c(40,32,12)-
t(24,32,28)s(8,40,12)-c(16,32,12)-
c(40,40,20)s(48,40,20)*t(32,16,12)+
t(24,48,28)s(16,32,12)-c(40,40,20)*
c(24,32,20)s(16,32,20)*s(16,24,20)*
s(24,48,20)s(32,24,28)s(32,40,20)*-
s(32,32,28)s(24,24,28)*s(32,32,12)-
t(32,32,20)s(48,48,12)+c(16,40,12)-
c(32,32,28)s(48,24,20)s(32,32,20)-*
s(24,48,20)c(40,40,12)-s(16,48,20)*
s(48,24,20)s(32,24,28)c(24,24,20)*-
s(16,32,20)c(32,32,12)+c(40,40,20)*
s(24,32,28)s(32,32,28)*s(48,24,20)+
s(40,48,20)c(24,40,20)t(32,32,28)*-
c(32,32,20)t(24,32,28)t(24,40,28)**
s(32,48,20)c(40,24,12)s(32,40,12)+-
s(24,40,20)t(40,56,12)+s(40,48,20)-
c(16,48,12)s(40,32,20)s(32,32,20)*+
t(24,40,28)s(40,40,20)c(32,24,20)--
c(40,24,20)s(40,32,20)t(32,32,12)-*
c(24,40,20)c(40,32,20)c(24,40,12)--
s(32,32,20)c(24,40,20)*t(32,48,28)*
s(40,32,20)c(40,24,20)*t(32,32,28)*
s(48,16,20)s(24,24,12)+c(48,24,12)-
s(32,24,20)t(32,40,20)+s(40,40,28)*
s(32,32,28)s(24,48,20)-t(48,24,12)-
t(24,40,20)s(24,32,20)t(32,32,28)**
t(16,40,12)s(32,16,20)s(40,32,20)-+
s(32,32,28)s(16,40,20)+s(24,40,28)+
s(24,40,28)c(32,48,12)-s(32,32,12)-
s(16,40,20)s(24,40,20)c(32,24,20)*+
t(32,32,28)c(24,16,12)+s(16,40,12)-
s(32,32,20)s(24,40,20)t(24,48,20)*+
s(40,40,28)s(32,24,28)*c(40,16,12)-
s(32,40,20)s(48,8,12)s(48,40,20)+-
s(40,24,20)t(40,24,12)c(32,16,12)+*
s(32,8,12)s(32,32,20)s(24,32,20)*+
c(24,24,20)t(24,32,28)*s(24,48,12)-
s(40,32,28)t(24,32,28)s(16,48,20)-*
s(24,24,28)s(32,40,28)*c(16,32,12)-
c(24,32,20)s(32,24,28)*s(16,32,20)*
c(32,40,20)t(24,48,28)c(40,40,12)--
s(32,40,28)t(16,16,12)c(40,32,20)+*
s(24,24,28)t(40,32,20)-t(32,40,28)-
s(48,16,12)s(40,40,12)t(40,56,12)++
s(8,8,12)s(48,32,20)+c(32,40,12)+
s(8,32,12)s(48,24,20)+c(32,24,20)*
c(32,16,12)c(24,24,12)+t(48,40,12)+
c(32,40,20)c(24,40,20)s(48,40,20)-*
c(16,48,12)t(24,32,28)+c(32,24,20)*
s(24,32,28)s(40,48,12)-s(32,32,28)*
c(32,40,20)c(24,32,20)*c(16,32,12)-
t(32,48,28)s(24,40,20)t(40,16,12)+-
s(24,40,28)s(40,48,12)s(8,40,12)+-
s(32,40,20)t(40,16,12)+t(32,40,12)-
t(24,40,20)s(16,24,20)s(8,40,12)-+
t(24,48,20)t(24,48,28)c(32,24,20)-*
c(32,40,20)s(40,32,28)c(32,24,20)*-
s(24,40,12)c(32,24,12)+s(40,40,20)-
s(24,40,28)s(48,24,12)s(24,24,20)+*
s(32,8,12)c(24,24,20)+c(16,40,12)-
s(40,48,20)s(40,32,28)*s(48,48,20)*
s(40,32,20)s(40,40,28)t(40,24,20)*-
t(32,32,28)s(24,16,20)-s(24,40,20)*
t(40,56,12)t(32,32,28)+s(24,32,12)-
c(40,24,20)t(32,48,28)t(24,40,12)--
t(24,40,28)c(24,32,20)s(40,40,20)-*
s(24,24,20)s(40,24,28)s(32,8,12)-*
s(32,48,20)c(32,32,20)s(24,32,28)**
s(32,8,12)c(48,48,12)+s(48,16,20)-
c(24,32,20)c(40,40,20)-s(48,40,12)+
t(40,24,20)s(40,24,28)c(32,32,20)**
s(32,16,20)t(24,40,28)-c(40,32,20)-
s(40,16,12)t(24,48,28)t(24,56,12)-+
t(40,48,12)c(24,24,20)+s(16,16,20)*
s(24,32,28)s(8,24,12)s(48,32,20)+*
s(24,32,28)s(40,24,28)c(32,24,20)**
s(32,40,28)s(48,8,12)s(16,24,20)++
s(40,24,28)s(40,32,28)c(32,48,12)-*
s(24,32,28)s(32,24,28)*s(40,16,20)-
t(40,48,20)c(32,32,28)s(24,24,28)-+
c(40,24,20)c(24,24,20)s(32,32,28)+*
s(32,40,20)c(24,32,20)*t(24,40,20)*
s(24,40,20)c(40,32,20)*t(16,40,12)+
s(48,40,20)s(32,32,28)s(8,16,12)+*
s(24,40,28)s(24,8,12)+t(32,40,12)-
c(24,32,20)s(24,16,20)-t(24,32,28)*
c(32,32,20)s(32,32,28)c(24,40,20)-*
s(40,24,28)c(32,24,20)s(16,32,20)*-
s(24,40,20)s(32,40,28)s(40,24,20)-*
c(16,16,12)t(32,48,12)+s(32,24,20)-
c(24,32,20)s(32,40,28)s(32,16,20)-*
s(48,40,20)c(32,24,20)s(40,32,20)*-
c(24,40,12)s(40,24,28)c(24,24,20)*+
s(32,24,20)s(40,24,28)s(32,32,28)**
c(48,32,12)t(32,32,12)+s(16,24,12)+
s(32,32,28)s(32,40,28)*s(40,40,28)*
s(24,32,12)s(40,32,20)s(32,24,20)*+
s(24,48,12)c(40,32,20)+c(48,16,12)+
s(32,32,28)c(16,32,12)-s(40,16,20)*
s(40,40,20)s(48,40,20)*c(40,24,12)-
c(24,48,12)s(32,24,28)+s(24,32,20)*
s(24,24,20)t(24,32,28)+t(24,40,28)+
s(48,16,20)c(32,40,20)s(32,16,20)-+
s(40,24,28)s(24,24,20)s(32,8,12)--
s(48,16,20)c(40,24,20)c(32,40,20)*-
c(24,40,20)c(24,24,20)s(32,24,12)-*
c(32,32,20)c(40,16,12)-s(32,32,20)*
s(32,24,28)s(32,40,20)-c(32,32,28)*
s(32,40,28)s(32,48,12)s(48,40,12)+-
c(40,32,20)c(40,24,12)t(16,16,12)+*
c(32,32,28)s(16,40,20)s(24,24,12)-*
t(24,48,12)s(40,16,20)+s(32,40,20)-
c(24,40,20)c(32,32,20)s(24,32,28)*-
t(32,48,28)c(40,40,20)*s(40,40,20)*
s(32,40,20)s(24,24,20)-s(40,32,28)*
s(24,24,28)c(32,24,20)+s(24,16,12)-
s(24,32,28)s(32,32,20)s(40,24,28)+-
s(16,48,20)s(48,48,12)t(24,40,28)++
c(32,32,12)t(32,48,12)+c(48,40,12)+
s(32,16,20)t(24,32,12)c(48,40,12)++
t(24,32,28)c(40,32,12)-s(32,16,12)-
s(40,24,20)s(16,40,20)s(24,48,20)+-
c(40,24,20)c(32,32,28)s(16,24,20)-*
c(24,24,20)c(40,32,20)c(24,16,12)--
s(24,32,12)s(40,32,12)+s(24,40,28)*
s(16,16,20)s(8,16,12)t(32,48,28)+-
t(48,56,12)s(32,40,20)t(24,32,28)++
s(16,40,12)c(16,16,12)+s(24,40,28)*
s(32,40,20)s(48,16,12)+s(40,24,20)*
s(24,32,20)c(24,32,12)s(24,16,12)+*
c(40,40,20)c(24,32,20)t(24,32,28)**
t(32,48,28)c(24,24,12)+t(24,32,20)-
c(24,40,20)c(32,32,20)t(32,16,12)--
t(24,16,12)s(40,32,20)+s(32,24,12)-
s(16,40,20)s(48,8,12)s(24,40,20)+*
s(40,24,28)s(32,32,20)c(32,40,20)*-
s(48,40,20)s(32,48,20)-c(40,16,12)+
s(8,32,12)t(32,32,28)c(24,32,12)-+
s(24,16,12)s(48,40,12)+c(16,16,12)-
s(40,40,28)s(40,24,28)*s(48,24,20)-
s(48,24,20)c(32,32,20)+s(24,40,20)*
s(48,48,20)t(40,48,20)s(48,40,20)+*
t(32,40,28)s(24,32,28)s(48,32,20)-*
c(32,32,12)s(16,40,20)+s(32,24,20)*
t(24,40,28)s(24,40,28)c(40,32,20)-*
s(40,40,12)s(40,32,20)s(40,48,20)*+
s(40,24,20)s(32,32,20)-s(16,8,12)+
s(24,40,20)c(32,40,20)t(40,48,20)*-
s(24,24,20)c(40,16,12)-c(24,48,12)+
s(8,32,12)t(40,40,20)+c(16,32,12)-
t(24,48,20)c(40,24,20)+c(24,24,20)*
c(16,40,12)c(32,24,12)t(48,48,12)++
s(24,40,28)t(40,24,20)-s(24,32,28)*
c(24,40,20)c(32,32,28)t(40,24,20)-+
t(40,48,20)s(40,32,28)c(24,24,20)*-
t(24,40,20)t(24,40,28)c(24,24,12)-*
s(48,48,12)s(16,32,12)+c(24,24,12)-
c(32,32,28)s(40,24,28)*s(32,24,28)*
s(32,32,20)s(32,16,20)+c(24,16,12)-
s(32,40,28)t(24,32,28)c(24,16,12)-*
s(40,40,20)t(24,40,28)s(24,32,28)*-
s(32,24,28)s(48,32,20)+c(48,24,12)-
t(24,32,28)t(32,40,28)c(24,32,20)**
c(24,24,12)s(32,32,12)s(16,24,12)++
s(40,40,28)s(24,40,28)-s(40,16,20)-
s(40,40,28)s(40,24,28)s(24,16,20)+*
s(32,48,20)s(32,48,12)-c(24,16,12)+
s(32,24,20)s(32,16,20)*c(24,40,20)-
s(32,48,20)s(16,24,12)s(40,40,20)+-
s(24,32,20)s(40,8,12)s(16,24,20)+-
s(24,48,20)c(32,40,20)c(24,32,20)**
t(24,32,20)t(24,40,28)s(8,40,12)-*
s(16,40,20)c(40,32,20)s(16,24,20)+*
c(24,48,12)t(32,48,20)t(24,48,28)*+
s(24,48,20)s(32,32,28)s(24,40,28)**
c(24,32,20)s(32,40,28)*s(32,48,20)*
t(16,16,12)t(32,48,20)c(40,40,20)*+
t(32,48,28)c(24,40,20)s(24,24,12)-*
t(32,40,28)t(24,32,20)-t(24,40,28)*
c(24,32,20)s(48,8,12)c(40,40,20)+*
c(32,32,20)t(32,48,28)s(16,48,20)*-
s(24,32,28)s(24,8,12)t(16,56,12)++
t(24,40,20)s(8,24,12)s(16,32,12)+-
s(40,24,20)s(32,24,20)s(48,16,12)+*
c(32,24,20)t(24,32,28)c(24,40,20)**
s(40,48,20)t(32,48,28)*t(32,48,12)-
c(32,32,28)t(32,48,28)*c(32,40,12)-
s(32,24,20)c(40,32,20)s(32,32,20)**
s(48,48,20)c(32,40,20)c(32,48,12)--
s(16,48,20)t(24,56,12)t(32,40,28)+*
t(24,40,20)c(32,24,12)-c(16,48,12)+
s(32,40,20)s(48,32,20)t(32,32,28)*-
c(32,24,20)t(32,32,28)s(16,32,20)-*
c(40,24,12)t(24,32,20)t(40,32,20)++
t(32,48,28)t(32,32,28)t(32,24,12)--
c(32,32,28)t(24,16,12)c(24,32,12)+-
c(40,24,20)s(48,24,12)-s(24,40,28)-
s(24,40,28)s(32,40,28)t(32,48,20)-*
c(40,24,20)s(24,24,28)*s(40,48,20)-
c(40,32,20)s(40,24,28)*t(24,32,12)-
s(8,8,12)c(40,32,12)+c(32,32,28)*
c(48,24,12)c(32,32,28)s(24,40,28)*+
c(40,24,20)s(32,32,28)*s(32,32,20)*
s(32,24,28)t(24,32,28)+t(24,32,20)-
c(24,40,20)t(24,40,20)-s(24,32,28)*
c(24,40,20)s(16,32,12)t(40,40,12)+*
s(40,40,28)c(32,48,12)-c(40,40,20)*
t(32,40,28)t(24,40,28)+c(24,40,20)*
s(24,24,20)s(8,8,12)+s(24,24,28)*
t(32,40,28)c(40,40,20)s(32,40,28)**
s(48,24,12)t(32,16,12)t(40,40,20)++
c(48,48,12)s(40,40,20)+t(24,32,28)-
s(32,40,28)s(24,32,20)*c(16,16,12)-
s(40,32,20)t(32,40,20)-s(40,24,20)*
t(24,48,28)s(24,32,28)*s(8,40,12)-
s(32,32,28)t(40,40,20)-s(32,24,20)*
s(32,24,20)t(32,48,12)+s(24,48,20)-
t(32,40,28)s(24,32,20)*c(24,40,20)*
t(32,24,20)t(32,48,28)s(32,32,20)+*
s(48,16,12)s(24,40,20)t(40,24,12)++
s(32,16,20)c(32,32,20)s(32,24,20)**
s(32,32,28)s(32,24,12)t(24,32,20)+-
t(32,40,28)s(40,40,28)*s(24,40,28)*
s(40,24,28)s(32,40,20)s(24,48,20)--
s(32,24,28)t(24,40,28)t(32,40,20)*-
s(40,24,20)s(40,48,20)t(32,40,20)+-
c(48,40,12)s(16,16,20)s(24,32,12)++
c(32,16,12)c(48,48,12)+s(24,8,12)-
s(32,24,28)s(48,32,12)t(16,24,12)+-
s(40,48,20)s(40,8,12)+c(48,40,12)-
s(24,24,28)t(48,16,12)t(24,32,20)+-
c(16,48,12)t(24,40,20)+s(48,40,12)+
s(48,32,20)s(32,32,20)c(32,16,12)+*
c(24,32,20)c(32,32,20)t(32,40,12)-*
s(24,32,20)s(24,16,12)s(32,16,12)++
c(40,32,20)c(40,24,20)*s(48,16,12)+
s(40,24,12)t(40,32,20)c(40,48,12)-+
s(48,48,20)t(24,40,20)t(40,48,20)+-
t(24,48,28)s(40,48,20)t(16,40,12)+-
s(24,40,28)s(16,32,20)c(24,16,12)-*
s(48,48,20)s(40,40,20)+s(32,40,20)*
c(32,40,20)c(40,24,20)s(24,48,20)-*
c(40,40,20)c(24,24,20)-t(40,48,20)*
s(32,24,28)s(16,16,20)s(24,16,20)**
s(48,16,20)s(48,24,20)s(48,8,12)-*
s(24,24,28)t(16,32,12)-c(32,32,20)*
s(48,32,20)t(40,40,20)+s(40,32,20)*
c(24,40,20)s(32,40,28)s(24,32,20)--
s(16,40,20)c(32,24,20)t(16,32,12)--
t(24,32,28)s(8,24,12)c(40,32,12)++
s(32,32,20)c(48,24,12)-s(40,32,28)*
s(40,48,20)c(32,40,20)t(32,40,12)-*
s(8,48,12)s(40,32,20)s(32,24,20)*+
s(40,32,28)c(32,32,28)t(32,24,20)--
s(32,8,12)s(40,24,20)+c(24,24,20)-
t(40,40,20)s(32,16,20)+s(48,16,20)-
c(32,32,20)t(24,24,20)s(32,24,20)*-
s(48,40,12)s(24,32,20)+s(16,40,20)*
t(24,48,28)s(24,40,28)s(40,40,28)**
s(32,40,28)t(32,32,28)*t(24,48,20)-
s(40,32,28)s(32,40,20)t(32,24,12)-*
s(16,24,20)s(32,16,12)-s(24,40,28)*
c(16,48,12)s(16,24,20)c(48,32,12)++
s(24,40,20)s(32,32,20)*s(16,24,12)+
s(48,40,12)t(48,48,12)s(32,16,12)++
s(24,24,12)t(24,48,20)t(24,32,20)-+
s(24,32,20)t(32,32,28)s(40,40,28)**
s(24,40,28)c(24,32,20)+s(40,40,20)*
s(48,40,20)t(16,48,12)+c(40,32,20)*
s(40,24,20)c(32,40,20)t(32,32,28)*-
t(32,40,28)s(40,40,20)s(16,48,20)-*
c(16,40,12)t(32,48,20)+t(24,40,12)-
c(32,24,20)c(32,32,28)c(32,40,20)-*
c(40,40,20)s(40,32,20)s(48,32,20)+*
t(24,40,12)t(24,32,28)t(32,32,20)*+
s(40,40,20)t(32,48,20)t(48,24,12)+-
c(32,24,20)s(8,16,12)+c(24,40,20)+
s(24,32,20)s(40,32,28)*s(48,8,12)+
s(32,48,20)s(16,32,20)-t(16,56,12)+
s(48,24,20)s(40,32,28)*s(24,48,20)+
s(32,40,20)s(40,32,28)*s(24,32,20)*
t(40,24,20)s(24,32,28)t(16,32,12)-+
t(32,48,12)s(40,16,12)+c(40,48,12)+
s(32,32,28)s(48,32,12)-t(24,48,28)*
s(40,32,20)c(40,24,20)s(24,32,12)-*
s(32,40,20)c(32,48,12)-s(24,40,28)*
c(32,24,20)t(40,32,12)-s(16,8,12)+
s(48,32,20)s(32,32,20)-c(40,40,12)-
s(48,32,20)s(40,24,20)*c(16,24,12)+
s(16,24,20)t(24,32,28)+s(24,32,28)*
s(32,24,28)s(16,32,20)-s(24,24,28)*
s(48,16,20)t(40,24,12)-s(40,16,20)*
s(24,16,20)s(32,40,28)s(40,24,20)*-
s(16,16,20)t(24,48,28)s(24,40,28)*+
s(32,40,20)c(24,48,12)-s(24,48,20)-
s(32,24,28)s(16,40,12)c(32,24,12)+*
s(48,16,20)s(16,24,12)c(40,40,20)++
c(32,32,28)s(48,48,20)t(40,56,12)-*
t(32,48,28)t(24,32,28)s(24,40,28)**
s(48,48,20)s(24,48,20)s(32,48,20)*-
s(40,16,20)s(32,40,20)+t(24,40,20)*
s(40,40,28)s(24,24,28)-t(32,48,28)-
s(24,40,20)s(40,32,12)t(24,24,12)+-
c(16,32,12)s(40,32,12)+s(32,40,28)*
t(24,32,28)t(32,24,12)s(40,48,20)+*
s(40,48,20)s(16,40,20)c(32,32,20)*-
s(24,24,28)t(24,56,12)+t(40,32,20)-
s(24,24,20)s(48,40,20)s(24,32,28)-+
t(16,40,12)c(16,32,12)+t(32,48,28)-
c(40,32,20)s(32,32,28)t(40,48,20)--
c(40,32,20)c(24,48,12)-s(40,16,12)-
s(32,24,20)s(32,48,20)s(40,32,12)-+
s(40,48,20)s(24,48,12)-t(40,32,20)-
c(16,40,12)c(48,32,12)+c(40,24,20)*
s(32,24,28)t(32,32,12)-s(16,32,20)*
s(24,48,20)c(24,32,20)s(32,16,12)+*
s(32,40,28)c(24,48,12)-t(48,56,12)-
c(24,32,20)t(24,48,12)s(32,24,12)+*
s(16,48,20)t(32,32,28)t(40,24,20)--
c(16,24,12)t(32,40,12)+s(16,48,20)-
s(32,40,20)t(32,48,12)-s(32,48,12)-
c(24,24,20)s(16,40,20)s(32,40,12)--
s(32,24,12)c(24,24,20)s(24,32,20)-+
s(40,40,28)s(32,24,28)*t(24,48,20)-
s(24,32,20)s(32,40,12)-c(24,40,20)*
c(16,24,12)s(32,24,12)+s(32,24,20)*
s(40,24,28)s(24,32,12)-s(24,24,28)*
t(40,48,20)s(40,40,28)s(24,32,20)*-
t(32,40,20)s(48,40,20)s(48,24,20)*-
s(32,24,28)c(32,40,20)t(40,40,12)-*
s(32,48,20)s(40,48,12)s(16,32,20)+*
t(32,32,28)s(40,24,12)c(40,40,12)+-
s(48,48,20)t(32,32,28)t(24,24,20)--
s(32,40,28)t(24,40,28)*s(16,40,20)*
s(40,32,28)c(24,24,12)-s(48,40,12)-
s(32,16,20)c(16,24,12)-c(40,24,20)*
s(40,32,20)s(16,48,20)+s(48,40,20)*
c(24,24,12)t(32,24,20)t(32,40,20)-+
s(24,32,28)s(32,48,20)t(40,48,20)+*
c(32,32,28)s(48,16,20)-s(32,32,20)*
t(40,56,12)s(48,16,20)+t(48,24,12)-
t(32,32,20)s(32,32,20)c(40,16,12)-*
c(24,24,20)t(32,32,28)*s(24,40,20)*
s(16,40,20)t(24,32,28)*s(24,40,20)*
t(24,40,28)c(16,16,12)+c(16,16,12)-
s(40,24,28)s(24,32,28)*t(40,40,20)+
s(32,32,20)s(24,16,12)-c(32,16,12)-
s(16,40,20)c(24,32,20)s(8,8,12)+*
t(24,40,20)t(32,32,28)*s(40,40,20)+
s(40,48,20)s(48,48,12)-c(48,48,12)-
s(16,16,20)t(40,40,20)s(32,16,20)+*
s(32,24,28)c(24,24,20)s(40,16,20)-*
t(32,48,20)t(24,32,20)-t(24,32,20)+
s(32,32,20)c(48,40,12)+c(24,24,20)*
s(24,48,20)s(48,16,20)c(24,48,12)+*
t(32,24,12)c(32,32,20)t(24,32,28)-+
t(32,32,28)s(16,16,12)s(16,40,20)+*
s(24,40,28)s(40,48,12)t(24,32,12)+*
c(32,32,20)s(32,24,20)t(32,32,20)*-
s(48,32,20)t(16,48,12)+t(16,48,12)-
s(16,24,20)c(48,40,12)+s(48,48,20)-
c(32,16,12)s(16,16,20)s(16,24,20)*+
s(32,24,28)c(32,32,28)s(24,40,20)-*
c(32,32,20)s(32,24,20)*s(32,16,20)+
c(40,40,20)t(48,24,12)s(32,24,12)+-
t(24,56,12)s(40,32,28)+s(48,40,20)-
c(40,40,20)s(40,48,20)*s(32,48,12)-
c(32,32,20)c(32,24,12)-t(32,48,28)-
t(24,16,12)s(48,48,20)t(16,32,12)++
s(16,16,20)c(40,32,12)t(24,32,28)+-
s(32,24,12)s(40,40,12)+c(48,40,12)+
c(40,32,20)s(48,32,20)s(32,48,20)-*
s(48,24,20)c(48,16,12)-s(48,48,12)+
s(32,24,20)c(24,24,20)*c(40,16,12)+
c(32,40,20)s(40,48,20)c(32,32,20)*-
t(24,48,20)s(48,48,20)c(32,32,12)--
s(32,40,20)s(40,48,12)-s(24,24,28)*
t(40,48,12)c(24,48,12)+s(40,32,20)-
s(40,32,20)t(32,16,12)-c(24,40,12)-
s(16,32,20)c(32,24,20)+s(24,40,28)+
s(48,16,20)s(32,16,20)*t(24,48,20)+
t(32,32,28)t(32,16,12)-s(40,40,20)*
s(32,32,20)s(16,24,12)-s(40,24,20)*
s(32,32,28)s(48,32,20)-s(24,16,20)*
s(16,32,20)s(32,24,28)s(24,32,20)+*
s(32,32,28)s(32,24,20)s(32,24,12)-*
t(32,32,28)s(24,32,20)s(40,48,12)+*
s(48,40,20)t(40,32,20)s(48,32,20)*-
s(24,24,20)s(24,24,28)c(32,32,20)**
s(48,40,20)c(32,48,12)s(24,24,12)+-
s(24,24,28)s(40,40,20)-c(24,32,12)+
s(24,40,20)t(32,32,28)+c(32,40,20)*
c(32,32,20)t(40,40,20)t(32,40,28)*-
s(16,40,20)s(24,16,20)c(40,24,12)--
s(16,32,20)s(32,24,28)*c(48,32,12)+
s(24,24,28)c(32,32,12)-s(32,8,12)-
s(24,40,20)s(24,24,28)*s(48,32,12)+
s(48,32,20)t(32,32,28)c(24,32,20)*-
c(32,32,20)c(32,32,12)c(16,32,12)+*
t(32,48,20)c(40,32,12)-t(48,56,12)-
s(48,24,20)t(32,40,28)s(40,32,20)*-
s(40,32,20)t(40,40,20)+t(48,40,12)-
c(40,40,20)s(48,24,20)+t(40,40,20)-
c(32,32,28)s(16,32,20)*s(32,48,20)-
t(32,32,28)t(16,16,12)c(24,16,12)+-
s(32,24,12)c(40,40,20)t(40,32,20)-+
c(32,40,20)s(24,40,28)*t(24,40,28)*
t(32,32,28)c(32,32,20)*t(24,32,20)*
s(32,24,28)s(16,40,20)-s(24,32,28)*
s(48,32,12)c(32,32,12)+c(24,32,20)*
t(24,40,28)s(16,48,12)s(32,24,20)+*
s(40,40,28)s(24,48,20)c(16,48,12)--
s(24,40,28)s(40,24,28)*s(48,48,20)+
s(24,24,28)s(32,16,20)*s(16,32,20)-
s(32,16,20)s(32,32,20)-t(24,40,28)+
s(40,16,20)t(40,48,12)+t(40,24,20)*
t(24,40,20)t(48,56,12)+s(32,40,20)*
t(40,24,20)c(40,32,20)s(48,24,20)**
c(32,24,20)t(32,32,28)-c(48,32,12)+
t(24,40,20)c(32,24,12)+t(32,32,20)*
s(40,16,20)s(16,32,12)+t(40,16,12)-
t(32,24,20)c(16,16,12)-t(40,16,12)-
s(24,32,20)s(40,32,20)*s(32,24,12)+
t(24,24,12)s(24,40,28)t(24,48,28)*+
s(24,24,12)c(32,24,20)s(16,24,12)-+
t(24,48,20)t(24,40,28)s(40,24,28)+*
t(24,32,12)s(40,16,20)+t(32,32,28)*
s(24,32,20)c(40,40,20)-t(16,48,12)-
t(32,32,28)s(16,16,20)-c(40,24,20)*
s(24,48,20)s(32,40,28)*s(16,48,20)*
t(32,32,28)s(32,24,28)t(24,56,12)+*
s(16,48,20)c(24,32,20)t(24,32,28)*-
c(24,32,20)s(16,32,20)c(32,32,12)+*
t(24,40,28)c(16,24,12)-t(40,40,12)-
s(24,24,28)s(24,16,20)t(16,24,12)-*
s(16,24,12)c(24,40,20)s(16,48,20)*+
s(24,24,20)c(40,24,12)+t(24,32,28)*
t(32,32,28)t(24,32,28)s(16,32,12)-*
s(24,48,20)t(32,32,20)-c(16,32,12)-
s(48,8,12)s(16,40,20)t(48,48,12)++
s(24,48,20)c(32,16,12)+s(48,24,12)+
s(24,40,28)s(32,24,12)-t(40,40,20)-
s(24,32,28)s(8,16,12)s(32,32,12)+*
s(40,24,28)t(24,24,12)-s(32,32,20)-
s(32,24,12)s(16,24,12)+c(40,32,12)-
s(32,24,20)s(40,24,20)*c(32,32,20)*
s(40,24,28)s(32,40,20)t(40,40,20)*-
s(24,24,28)s(16,32,20)*c(32,32,20)*
s(24,32,28)s(32,32,28)*c(32,40,20)*
s(16,40,20)c(40,24,20)s(48,40,12)--
s(40,24,28)t(24,16,12)-s(32,24,12)-
s(48,40,20)c(16,24,12)+s(40,32,12)-
s(24,24,12)t(32,48,28)+c(32,32,28)*
t(24,24,20)t(32,40,20)+c(32,40,20)*
t(48,48,12)s(40,24,28)+t(40,40,20)-
s(24,40,20)s(32,32,28)*s(24,32,20)*
s(32,32,20)t(24,40,20)s(16,40,20)*-
c(48,24,12)s(24,40,20)s(32,48,12)-+
c(40,24,20)t(48,32,12)-t(32,40,28)*
t(32,48,28)t(32,32,20)s(24,16,12)--
t(32,32,28)s(32,32,12)c(24,48,12)+*
s(16,24,20)s(32,24,28)c(24,40,20)+*
s(40,16,20)s(24,40,28)+s(24,32,12)-
s(16,16,12)t(40,40,12)+s(24,8,12)-
c(40,32,20)s(48,24,20)*t(48,32,12)-
c(32,32,20)c(24,32,12)s(40,16,20)+*
t(32,40,28)c(32,32,20)*s(40,32,20)*
s(8,32,12)s(40,40,20)+s(32,24,20)+
c(48,32,12)c(40,40,12)+t(40,24,12)-
s(32,24,28)c(32,40,12)-s(32,16,12)-
c(32,40,20)c(32,24,20)*t(32,40,28)*
s(40,24,28)t(32,32,28)*t(24,24,12)-
s(40,24,28)t(40,40,20)-s(32,40,28)-
s(16,48,12)c(24,32,12)t(48,24,12)++
c(24,16,12)s(32,24,28)s(40,40,20)*+
t(40,24,12)c(24,40,20)s(40,40,20)-+
c(32,24,20)c(16,16,12)-c(32,32,20)*
c(40,40,20)s(40,40,12)-c(32,32,20)*
s(40,32,28)c(32,16,12)-t(48,24,12)-
c(32,48,12)t(40,32,20)t(24,32,20)++
s(32,40,28)t(32,32,12)-s(40,32,28)-
t(32,40,28)c(40,40,20)*s(32,32,28)*
s(40,24,28)s(40,40,12)-c(24,32,20)*
c(24,32,12)t(32,32,28)t(40,24,20)-+
c(40,24,12)t(24,24,20)c(16,40,12)-+
t(32,40,28)s(40,24,28)*s(32,40,20)*
s(32,40,28)s(24,32,28)s(24,24,28)+*
s(24,40,28)t(40,24,20)+s(40,40,12)-
s(40,32,20)c(32,40,20)t(24,32,28)*+
c(40,32,20)s(40,40,28)*t(40,24,20)-
c(32,24,20)c(32,40,12)-s(32,8,12)-
c(32,32,28)s(48,8,12)c(24,24,20)+*
s(40,16,20)s(16,16,20)s(48,16,12)+*
c(40,48,12)s(16,40,20)s(24,32,12)-+
t(24,48,28)c(40,48,12)t(32,48,20)+-
s(32,24,28)s(16,32,20)c(40,40,20)--
c(40,40,20)t(40,40,20)c(40,24,12)+*
t(32,32,20)c(24,16,12)-c(32,24,20)*
s(24,24,28)t(32,24,20)-s(16,24,20)*
s(32,24,28)c(48,24,12)-t(24,48,20)-
s(32,24,28)s(24,24,28)t(48,16,12)+*
t(32,48,28)s(32,48,20)s(40,40,20)+*
s(16,48,20)s(24,24,28)t(32,32,20)--
t(24,40,28)s(24,24,28)c(24,40,20)**
s(24,24,20)s(24,16,12)s(24,48,20)+*
c(40,24,20)s(40,40,28)t(40,24,20)*-
s(32,40,28)s(40,32,20)s(16,24,12)+*
s(16,32,20)t(24,32,28)s(16,8,12)+*
t(32,24,20)c(40,24,20)s(48,16,12)-*
c(32,32,28)s(40,40,20)-c(32,40,20)-
s(32,40,28)c(32,32,20)*t(48,32,12)-
t(32,40,28)s(32,8,12)c(24,40,12)+-
c(32,32,28)s(16,16,12)-c(32,32,20)-
s(40,24,20)s(32,40,28)s(32,32,28)**
s(40,48,12)c(48,48,12)+c(40,24,20)+
s(24,24,20)c(32,32,28)c(16,24,12)-+
t(32,40,28)s(40,24,20)-s(40,40,20)*
s(24,24,28)s(24,32,20)s(32,32,12)-*
t(32,32,28)s(48,24,20)c(40,40,12)--
c(32,24,20)t(24,32,28)*t(24,16,12)-
s(40,40,20)c(32,32,20)*t(40,24,12)-
s(16,16,20)c(40,32,20)s(48,16,12)--
c(32,32,28)t(24,48,28)-s(48,40,12)-
t(24,56,12)s(24,32,20)+s(40,32,28)*
t(32,40,28)c(32,24,12)-t(24,32,20)-
c(40,32,20)s(40,16,20)+t(32,32,28)*
s(40,40,28)c(40,32,20)*t(32,48,28)-
c(16,16,12)s(40,24,28)+s(32,32,12)-
s(32,24,20)s(24,24,28)s(24,32,28)*+
s(16,48,20)s(32,16,12)c(16,48,12)+*
s(24,16,12)s(48,32,12)+s(24,24,28)*
s(16,40,20)s(40,48,20)+s(16,32,12)-
s(8,48,12)t(32,40,28)+s(24,32,20)*
t(24,48,28)c(24,40,20)s(40,40,28)*-
s(24,32,20)s(24,48,20)c(32,24,20)--
c(32,24,20)s(40,40,28)c(40,24,12)--
s(32,40,28)s(40,48,20)s(16,32,12)+*
s(24,8,12)c(32,40,20)+c(40,32,20)*
t(32,32,20)c(16,24,12)s(40,40,28)+*
s(24,48,20)c(24,16,12)t(24,40,20)+*
s(32,48,20)s(24,24,20)t(32,40,20)+*
c(32,32,20)c(32,32,28)s(16,48,20)*+
s(40,16,20)t(16,48,12)s(40,32,20)+*
c(16,24,12)s(48,48,20)t(40,32,20)-+
s(32,24,20)c(48,16,12)-s(24,48,20)+
t(24,40,28)c(40,48,12)+s(24,24,28)*
s(24,40,28)s(24,24,28)s(40,32,20)**
s(32,32,20)t(24,24,20)-s(24,32,12)-
c(24,24,20)s(16,48,12)s(32,40,20)+*
c(24,40,20)c(40,40,20)*s(32,24,12)-
s(40,32,20)s(40,16,20)t(24,32,28)--
t(40,56,12)s(24,48,12)s(16,48,12)++
s(24,32,28)c(32,32,28)t(40,24,20)-*
s(24,32,28)s(40,16,20)t(32,40,20)+-
t(24,32,28)c(40,24,20)s(48,32,20)*-
t(32,32,28)c(40,32,12)s(16,16,20)+*
s(16,40,12)s(32,32,20)+c(32,32,20)*
s(40,40,28)s(8,32,12)s(40,40,20)+*
s(24,32,28)c(32,32,20)s(24,32,20)*-
t(24,48,12)s(32,24,12)+c(24,32,20)*
s(24,32,28)s(32,24,20)*s(32,8,12)-
t(32,48,28)t(24,32,12)s(24,40,12)++
s(40,32,12)c(32,48,12)+c(48,16,12)+
t(16,16,12)c(24,32,12)+t(16,16,12)-
t(40,32,20)c(32,32,28)s(40,16,12)-*
s(16,32,20)t(24,48,28)+s(16,24,20)-
t(40,16,12)s(24,40,28)s(40,24,28)*+
c(32,24,20)c(40,16,12)-s(24,24,28)*
t(32,32,28)t(24,48,28)t(24,40,28)**
c(32,32,20)c(32,32,28)t(32,24,20)-*
s(24,24,28)t(32,24,12)-c(32,32,20)*
s(32,24,28)s(40,40,28)c(40,24,12)--
s(24,16,20)t(24,40,20)s(32,24,12)+-
s(8,48,12)s(40,24,20)+s(32,32,28)-
s(24,24,20)c(40,40,12)s(8,8,12)+-
s(32,32,28)s(16,40,12)-t(24,24,20)*
s(24,16,20)c(24,40,20)s(32,24,20)+*
s(40,32,20)c(40,24,20)s(48,24,20)--
s(40,32,20)c(24,24,20)s(24,40,28)*-
s(32,32,28)t(32,40,28)s(32,32,20)+*
t(32,32,20)s(40,32,28)s(48,32,12)-*
c(32,40,20)s(32,40,20)s(32,24,20)+*
s(16,16,20)c(24,24,20)*c(40,24,20)+
t(32,32,28)t(24,32,28)*c(40,24,20)*
s(40,32,28)s(40,32,12)-s(24,40,28)*
t(32,48,28)s(24,40,28)c(32,24,20)*-
s(32,40,20)c(48,48,12)-t(24,24,20)-
c(32,32,28)s(40,32,28)s(48,16,20)*-
s(16,32,20)s(48,48,12)s(16,48,20)+*
s(32,40,28)s(32,24,20)s(40,32,20)**
s(40,40,28)s(40,32,20)t(40,56,12)+*
t(40,48,20)s(24,24,12)+s(24,24,20)+
s(48,48,20)s(32,48,20)s(40,32,28)*-
s(32,32,20)t(32,40,28)*s(24,24,28)*
s(16,32,20)c(32,32,20)s(32,16,12)-*
s(24,24,20)s(24,16,20)*s(48,32,20)-
s(16,32,20)c(32,24,20)c(40,24,20)*-
s(32,24,12)s(48,16,20)c(24,32,20)-+
t(32,48,28)s(32,48,20)t(40,48,20)*-
c(24,24,20)t(32,32,20)*t(16,40,12)-
s(24,32,20)s(32,32,28)t(40,24,20)-*
s(32,40,20)s(32,48,20)s(24,16,12)+*
s(48,16,20)s(48,8,12)-s(24,48,12)+
c(48,16,12)c(48,40,12)+s(40,32,12)-
s(32,32,20)s(24,40,28)*s(40,32,20)*
s(40,16,12)t(32,40,12)+s(24,32,12)-
t(16,56,12)t(32,24,12)+s(40,32,28)+
s(48,32,20)s(48,48,20)+c(40,40,20)*
s(40,16,12)s(16,40,12)+c(48,16,12)-
s(24,32,28)s(32,32,20)s(16,32,12)-*
t(40,40,20)c(40,40,12)s(24,48,20)+*
t(16,32,12)t(32,48,28)+t(16,56,12)-
s(24,8,12)s(32,40,20)s(40,32,20)-+
c(24,32,12)c(32,40,12)+c(48,48,12)+
c(32,32,20)t(32,48,12)-t(32,32,28)*
s(16,24,12)c(40,40,20)t(32,40,20)-+
t(40,24,12)s(40,32,28)s(48,40,20)-+
c(24,24,20)s(16,24,20)s(32,24,20)--
s(16,48,20)s(16,40,12)t(40,48,12)+-
c(32,32,20)t(40,48,20)s(40,24,20)--
s(40,32,20)s(40,24,20)s(24,24,28)**
s(32,16,20)t(40,40,20)c(16,24,12)+-
s(40,32,12)s(40,24,28)c(32,24,20)-+
c(40,32,20)s(48,40,20)*c(24,32,20)-
s(24,24,28)s(24,8,12)-s(24,40,12)-
t(40,24,20)s(40,16,20)s(40,24,20)**
s(40,8,12)t(40,40,12)s(32,40,12)++
s(24,40,20)c(32,32,28)s(40,48,12)-*
t(32,32,20)s(32,40,20)c(24,40,20)**
s(48,40,20)s(24,40,20)+s(32,24,28)*
c(32,32,20)c(40,40,20)*s(40,16,20)-
s(24,24,28)t(32,40,20)c(48,16,12)+*
s(48,24,12)t(16,24,12)s(16,48,12)++
c(24,32,20)c(32,40,20)s(40,48,20)-*
c(32,48,12)c(40,32,20)+s(24,16,20)-
c(48,16,12)s(24,32,12)+t(24,32,20)-
s(40,32,28)s(32,48,20)c(24,32,20)+*
c(32,32,20)c(24,32,20)c(40,16,12)-*
c(32,32,28)c(16,48,12)-s(32,40,20)*
s(24,24,28)s(24,16,20)s(24,24,12)-*
t(24,56,12)s(40,32,28)+s(32,48,20)+
c(32,40,20)c(40,40,20)*t(24,32,28)*
t(24,48,28)s(16,32,20)-t(32,32,28)-
c(32,24,20)t(40,24,20)s(16,32,20)--
t(24,48,28)s(32,48,20)*t(24,40,20)+
s(48,48,20)s(40,48,20)*t(32,24,20)+
c(40,16,12)s(48,32,20)t(40,32,20)-+
s(24,40,20)s(24,40,12)-c(16,16,12)+
t(32,32,28)s(24,24,28)*s(40,32,28)*
s(32,24,28)t(16,56,12)s(40,40,28)+*
s(24,16,12)s(40,24,20)+t(24,24,20)-
c(40,40,20)s(16,48,20)t(16,32,12)--
c(32,32,20)s(48,40,12)-t(24,48,28)-
s(8,8,12)c(48,16,12)+s(24,16,20)-
s(32,16,20)s(16,8,12)+c(24,24,12)-
c(40,32,20)s(32,24,20)*s(16,24,20)+
c(24,24,20)c(40,32,20)*s(24,40,28)*
s(16,8,12)s(16,32,20)+t(16,16,12)-
s(16,40,20)s(24,16,20)-t(24,40,28)*
s(40,32,28)s(24,48,20)t(32,48,20)*-
s(40,32,28)s(24,48,12)s(24,40,12)+-
t(24,48,28)s(32,32,28)t(32,24,12)--
s(40,32,28)s(24,40,28)s(32,40,12)-*
s(40,32,28)s(48,40,12)-s(40,48,20)-
s(32,24,20)c(32,24,20)c(32,32,20)**
s(24,32,20)s(24,24,12)s(40,48,12)+-
c(24,32,20)t(24,40,12)-s(16,24,12)-
s(40,24,28)t(24,32,28)t(24,40,28)+*
s(32,32,28)s(16,24,20)s(8,32,12)-*
c(24,32,20)c(16,48,12)-s(40,32,20)*
c(40,32,12)t(40,24,20)s(32,32,28)*+
c(32,24,20)s(32,40,28)c(24,48,12)-*
s(24,24,28)t(48,32,12)+s(32,32,20)*
t(32,56,12)s(24,24,20)s(16,16,12)-+
s(40,40,20)s(32,40,28)t(32,48,12)-*
s(40,32,28)s(40,40,28)*c(24,32,20)-
c(32,40,20)s(48,40,12)-t(40,48,20)-
c(24,32,20)c(24,24,20)s(32,16,20)**
s(40,32,28)s(24,40,20)*s(16,32,12)+
s(32,24,20)s(24,16,20)s(24,32,28)+*
s(32,32,28)s(40,40,20)*t(32,24,12)-
t(32,24,20)s(48,24,20)+t(24,48,20)+
s(24,8,12)c(24,32,20)s(32,24,20)*+
t(24,32,20)s(40,40,20)t(24,40,20)--
s(40,16,12)c(24,32,20)+t(24,32,28)*
c(24,32,20)s(24,40,28)s(40,32,28)**
c(32,40,20)t(40,24,20)-s(32,48,20)*
t(24,32,20)s(32,16,12)+c(40,24,12)+
s(32,40,12)s(40,24,28)s(16,24,20)-+
s(40,32,20)s(40,32,28)s(32,16,12)-*
s(24,40,28)s(32,16,20)c(32,32,20)+*
s(24,16,20)s(16,16,20)+c(24,32,20)-
s(40,48,20)t(40,32,12)-t(24,48,12)-
t(40,32,20)c(40,40,20)c(32,24,20)**
c(32,32,20)t(32,40,28)*s(40,40,20)*
s(32,40,20)s(16,40,20)c(32,40,20)**
s(40,16,20)t(24,24,20)-c(40,24,20)*
c(32,32,20)s(40,32,20)*s(24,24,12)-
s(48,24,12)s(16,32,12)+s(40,8,12)+
s(32,32,28)c(40,40,20)s(8,48,12)+*
s(16,40,20)s(24,48,20)*t(24,48,28)*
s(32,40,20)s(40,24,12)-s(32,32,28)*
c(32,40,20)s(16,48,12)-s(32,48,20)*
s(32,16,20)s(48,32,20)c(24,24,20)-+
c(40,32,20)s(24,16,20)-s(48,32,20)*
t(32,48,28)c(32,24,20)s(40,32,12)--
t(40,40,20)s(16,24,20)+c(32,40,20)*
t(24,40,28)s(32,40,20)t(32,32,12)--
t(24,32,28)s(24,32,12)-t(40,24,20)-
c(24,32,20)t(32,32,28)*s(32,24,28)*
s(40,40,20)t(32,24,20)-t(32,24,20)+
s(24,48,12)s(48,24,20)s(32,24,12)-+
t(32,48,28)s(40,40,20)*s(24,48,12)-
s(32,24,20)c(24,24,20)t(40,24,12)-*
s(24,32,28)t(32,48,28)*t(24,40,28)*
s(24,32,28)t(24,32,20)-s(32,24,28)-
s(24,48,20)t(32,40,20)+s(16,48,20)-
s(32,32,20)t(32,48,28)c(32,32,28)**
s(48,48,20)s(40,24,20)+s(48,24,20)*
s(8,32,12)s(24,32,28)s(32,16,20)*+
s(40,48,12)s(40,32,28)s(24,40,28)-+
s(48,32,20)s(32,32,20)s(16,48,20)-*
s(16,32,20)c(40,32,12)+s(16,24,20)*
t(24,40,20)s(48,8,12)s(16,32,12)++
s(24,16,20)s(48,32,20)s(40,40,20)*+
s(32,48,20)c(32,24,12)s(40,40,12)+-
s(24,24,28)c(32,16,12)-c(32,32,28)*
s(24,40,20)t(24,48,28)*s(24,48,20)*
c(24,40,20)t(32,48,20)c(24,40,20)*-
c(32,32,28)s(8,16,12)t(24,24,20)+*
c(24,40,20)t(16,16,12)+c(40,32,20)*
s(40,40,20)s(24,48,20)s(24,32,20)-+
t(32,32,28)s(24,40,28)s(40,32,28)--
s(16,24,20)c(40,24,20)t(48,24,12)--
s(40,40,20)s(40,16,20)c(24,24,12)--
s(48,32,20)c(32,32,20)s(24,24,28)*-
s(32,32,20)s(32,40,12)-t(40,40,12)-
s(24,24,28)c(32,40,20)*c(48,40,12)+
t(32,40,28)c(32,32,28)s(16,48,20)-*
s(48,32,20)c(48,48,12)s(24,32,28)+*
t(40,48,20)c(32,40,20)s(32,16,20)-*
t(40,40,12)s(16,40,20)s(24,48,12)-+
t(32,32,12)c(24,16,12)+t(24,24,12)-
t(24,40,28)s(24,48,20)t(32,40,28)*-
c(32,32,28)s(40,48,20)-s(24,16,20)*
s(48,16,20)t(16,48,12)s(40,40,20)+-
t(32,24,20)s(16,24,12)-t(32,40,20)+
s(32,24,20)s(40,8,12)-s(48,32,20)-
t(40,32,20)s(32,40,28)s(40,32,28)**
s(16,16,20)s(8,32,12)-s(16,8,12)-
s(16,24,20)s(24,32,20)t(32,48,20)--
s(24,16,20)s(32,40,20)s(32,24,20)+*
t(32,48,28)s(24,48,20)s(40,32,20)-*
s(24,24,20)c(24,16,12)-s(8,24,12)+
s(24,32,28)s(16,48,20)-s(48,40,12)+
c(40,16,12)s(8,24,12)c(24,48,12)++
s(32,40,28)s(24,16,20)-c(24,32,20)*
s(40,16,20)c(40,32,20)c(40,40,12)--
s(48,40,20)t(24,40,28)c(40,32,20)*-
s(32,40,28)c(32,24,20)s(16,24,20)*-
c(16,24,12)t(16,48,12)s(32,40,20)++
s(24,24,28)s(32,32,20)*s(40,16,20)-
s(32,16,20)s(40,32,28)*s(40,16,20)*
s(24,32,28)s(16,16,20)*s(24,16,20)*
c(32,40,20)s(40,16,12)s(40,32,20)+*
c(48,48,12)s(24,32,28)+s(32,40,28)*
s(32,24,28)c(40,32,20)s(40,24,12)-*
t(16,40,12)s(32,40,20)+s(16,40,12)-
c(32,24,20)s(40,40,28)*c(40,48,12)-
t(32,32,28)c(40,24,20)*s(48,48,20)-
s(40,40,20)s(32,40,20)s(24,40,12)-+
s(24,24,28)c(24,40,12)-c(32,32,28)*
t(32,32,20)s(24,24,20)+s(16,16,20)*
c(32,40,20)c(24,32,20)*s(32,24,20)*
s(24,32,28)s(24,24,28)*s(40,40,28)*
s(40,40,20)t(24,40,28)-s(48,48,12)+
c(32,32,28)s(40,24,12)-s(40,40,28)*
s(24,24,28)s(40,32,20)*s(24,40,28)*
s(40,32,28)s(16,48,20)s(24,24,12)+*
t(40,40,12)t(16,48,12)s(8,8,12)++
t(32,32,28)t(32,48,28)+s(48,48,12)-
s(32,24,28)c(40,40,20)t(40,48,20)--
s(40,32,28)s(24,48,12)-t(32,24,20)*
c(24,32,12)c(16,48,12)+t(48,56,12)+
s(40,8,12)t(24,24,12)+t(48,16,12)+
c(32,40,20)s(48,40,20)-c(40,40,20)+
s(24,48,12)s(40,16,20)+t(24,48,12)-
c(40,48,12)t(16,40,12)+t(24,24,20)+
s(32,24,28)s(32,32,28)*s(16,24,12)-
s(32,16,20)s(40,24,20)c(32,32,12)-+
c(40,24,20)s(48,16,20)s(24,24,20)-*
s(40,24,20)s(32,40,28)*t(24,32,12)+
s(40,32,28)s(32,32,28)*s(48,24,20)*
s(48,48,20)t(40,24,12)+s(32,16,20)-
s(24,24,20)c(40,16,12)-t(24,32,20)*
s(40,40,20)t(40,48,20)s(40,24,20)+*
s(40,40,20)s(40,40,12)s(24,40,12)+*
s(24,40,20)c(32,32,20)t(48,32,12)-*
s(16,16,20)s(24,24,28)s(24,40,28)--
s(40,32,28)c(24,40,20)s(32,48,12)-+
s(40,48,20)t(32,48,28)*c(32,32,28)*
t(40,24,20)s(32,8,12)+t(32,56,12)+
t(24,48,28)t(32,56,12)c(32,32,20)+*
c(24,24,20)c(24,40,20)*c(16,48,12)-
s(40,40,20)c(32,40,20)s(16,40,20)*-
t(24,32,28)s(40,48,12)+s(16,48,12)-
s(32,40,20)s(16,48,20)c(24,32,20)*-
s(32,40,28)c(40,24,20)s(40,40,28)**
c(48,32,12)s(32,8,12)+c(40,32,12)-
s(24,24,20)c(24,40,20)-s(48,40,12)+
s(40,24,20)s(40,32,20)s(48,32,20)**
s(24,32,20)s(32,40,20)s(40,24,20)--
t(32,40,28)t(24,40,28)*t(40,48,12)-
s(16,40,20)c(24,40,20)*t(32,24,20)-
s(40,40,20)s(24,40,28)s(40,32,20)*-
c(24,24,20)s(48,16,20)-c(32,32,20)*
t(32,40,28)c(40,32,12)-s(32,40,20)*
s(24,40,28)t(40,24,20)-s(16,32,20)*
s(48,32,20)s(32,40,20)s(24,48,12)-+
s(32,32,28)c(24,24,20)s(24,32,28)**
t(32,32,20)c(40,40,20)*s(32,48,20)+
s(24,24,20)t(32,48,28)+c(40,32,20)*
s(16,40,20)s(32,40,28)*t(40,24,20)-
t(32,32,28)s(24,24,20)*s(40,32,28)*
s(40,32,28)t(32,40,28)-s(48,48,20)-
s(40,40,28)t(40,24,20)-s(32,48,20)*
t(24,40,28)c(32,40,20)*s(16,40,20)*
s(16,48,20)c(24,32,20)c(40,16,12)-*
s(32,24,20)t(24,32,28)*s(8,16,12)+
s(40,32,20)s(24,32,28)c(24,32,12)--
c(32,32,28)s(24,16,20)*t(16,48,12)+
s(24,32,12)c(16,48,12)+s(40,48,20)-
t(24,32,20)s(40,24,20)c(24,16,12)--
s(24,40,28)s(40,48,12)-t(16,48,12)-
c(40,40,12)t(40,16,12)+s(16,40,20)+
s(40,16,20)s(40,48,12)+c(32,32,12)-
c(40,40,12)t(16,24,12)+s(24,40,28)*
c(32,24,20)c(48,32,12)-s(40,40,28)*
s(32,48,20)s(32,16,20)s(16,24,12)-+
c(40,40,20)t(32,56,12)s(24,32,12)+-
c(40,32,20)t(24,32,28)s(40,40,28)*-
s(40,24,28)s(24,40,28)s(32,24,28)**
t(16,16,12)s(48,32,12)+t(48,40,12)-
s(48,40,20)s(40,24,28)*s(40,32,20)*
s(48,24,20)s(40,32,20)c(40,40,12)-+
s(16,32,20)s(32,32,20)c(40,24,12)--
s(32,32,28)s(16,32,20)t(48,48,12)+*
s(40,40,12)t(40,24,20)+t(48,40,12)-
s(40,24,20)s(32,16,12)s(24,40,20)+*
c(32,24,20)c(32,32,20)t(24,32,28)**
s(48,40,20)t(40,40,12)-t(32,48,28)-
t(24,40,28)t(24,40,28)t(32,48,28)*-
t(32,40,12)t(24,40,12)t(24,32,12)++
c(40,32,12)c(32,48,12)+s(32,40,20)*
s(32,40,20)s(24,32,28)t(24,32,28)--
s(32,16,20)s(32,32,20)s(16,32,20)*-
s(16,48,20)c(16,32,12)+s(32,24,28)-
s(24,40,20)c(32,40,20)+t(40,48,20)*
s(24,40,28)t(24,24,20)-s(16,40,20)+
s(16,16,20)t(32,32,12)+s(16,8,12)-
s(32,24,28)c(32,32,28)s(40,40,28)-*
c(24,40,20)s(32,32,28)*s(32,24,28)*
c(24,40,20)c(40,40,20)s(24,40,12)-*
c(24,24,20)s(16,32,12)-s(32,8,12)+
s(32,40,20)c(40,32,12)-t(40,40,12)+
s(32,16,12)s(32,48,20)+t(32,48,28)*
s(48,32,20)t(32,32,28)c(40,40,12)--
s(40,32,28)s(32,32,28)s(16,32,20)*+
c(32,48,12)c(32,24,20)s(48,32,20)++
t(24,48,20)c(16,40,12)s(40,24,20)++
s(40,24,20)s(48,16,20)+s(32,32,28)*
s(24,24,28)s(32,24,28)*c(40,40,20)*
s(32,40,28)s(32,32,28)t(40,24,20)-*
c(32,24,20)c(40,48,12)s(48,32,20)+*
c(32,32,20)s(40,24,28)*s(32,16,12)+
t(32,32,28)s(32,24,28)*c(48,24,12)-
t(32,40,28)t(32,24,20)+t(24,48,20)*
t(24,32,28)c(40,32,12)-t(40,40,20)-
c(24,32,20)t(32,24,20)t(40,48,20)+*
t(24,32,20)s(16,48,12)-s(48,48,20)+
t(32,32,28)s(40,40,28)*s(32,48,20)-
t(40,32,20)t(32,48,20)s(24,40,12)--
t(24,48,28)s(32,40,20)t(32,48,28)*-
t(32,40,28)s(16,48,12)-t(24,48,20)-
s(24,16,12)c(32,24,20)s(40,40,20)*+
s(24,24,28)c(40,40,20)-c(24,32,20)*
s(40,32,28)s(32,32,28)*t(24,40,20)-
s(16,40,12)t(24,40,28)c(40,32,20)*+
t(32,32,28)s(40,16,12)-c(32,48,12)-
s(24,32,28)s(40,32,20)+t(24,48,20)-
c(40,32,20)s(40,32,20)s(8,40,12)+*
s(24,40,28)s(40,40,28)*s(40,40,20)*
s(32,40,28)c(24,32,20)*c(32,16,12)-
s(40,24,12)s(40,32,20)c(40,40,20)*+
t(24,48,28)c(16,32,12)-t(32,32,28)-
t(32,24,20)s(8,32,12)t(40,16,12)+-
s(32,32,20)c(16,32,12)-s(32,32,12)-
s(40,48,20)s(40,32,20)s(48,40,20)--
s(40,24,28)c(32,24,20)s(24,24,28)**
c(24,32,20)s(48,32,12)s(32,40,20)+-
s(48,32,20)c(16,48,12)+s(24,40,20)*
t(16,32,12)c(24,32,12)+c(32,16,12)-
t(32,32,28)c(24,24,12)-c(32,32,20)*
s(40,24,20)c(48,32,12)-t(32,24,12)-
s(32,16,20)s(24,24,12)-s(40,24,28)*
s(24,16,20)t(24,48,28)s(16,8,12)+-
t(24,32,28)s(16,40,20)s(24,24,12)-*
c(16,16,12)s(40,48,12)s(24,40,12)++
s(32,40,20)s(48,8,12)+s(40,40,12)-
s(24,24,20)s(24,48,20)+s(16,24,12)-
s(40,24,20)s(16,16,20)-s(40,32,20)*
s(24,8,12)s(32,32,28)s(40,48,20)*+
s(40,48,20)s(24,40,28)+c(24,24,20)-
t(24,48,20)s(32,24,28)s(24,8,12)--
t(32,40,20)c(40,32,20)t(48,32,12)-+
s(32,40,20)s(24,32,28)c(32,24,20)**
c(32,40,20)s(24,40,20)*c(40,48,12)-
s(16,48,20)s(24,32,12)t(16,32,12)+-
c(40,40,12)s(16,24,20)+s(16,32,20)*
s(24,24,20)s(16,16,12)s(40,24,28)+*
c(40,24,20)s(32,32,28)*c(48,40,12)-
s(32,48,20)t(24,56,12)c(16,32,12)+-
s(40,40,20)s(40,48,20)s(32,24,20)-*
s(40,40,20)s(24,48,20)s(32,40,20)*-
t(32,32,28)s(24,32,20)c(24,48,12)+*
s(40,24,28)s(24,24,20)*s(32,40,12)-
s(48,8,12)s(40,24,28)c(32,32,20)*+
c(48,48,12)s(32,40,20)s(32,24,20)-+
s(24,24,28)s(32,16,20)s(24,24,20)*-
s(48,24,20)s(48,32,20)+t(24,40,12)+
s(40,24,28)s(40,16,20)-s(32,24,28)*
s(40,24,20)t(32,40,20)-s(32,24,28)*
s(16,40,20)t(32,56,12)s(24,40,12)+-
s(24,32,28)s(32,32,12)-c(24,40,20)-
s(16,32,20)s(24,24,12)-s(40,48,20)+
s(24,24,28)s(16,24,20)-s(48,32,12)-
s(32,24,28)c(16,24,12)-t(24,32,28)+
s(24,24,20)c(16,40,12)-c(24,32,20)*
c(32,32,20)t(24,32,12)-c(40,24,20)*
s(32,40,20)c(48,32,12)+t(24,32,20)+
s(40,24,20)s(32,24,20)t(40,40,20)-*
c(40,24,20)s(40,16,20)s(24,48,20)+*
c(24,32,20)s(40,24,28)s(48,48,20)-*
c(40,40,20)s(32,40,20)*s(24,48,12)-
s(40,40,28)s(24,40,20)+t(32,40,28)-
t(32,48,20)c(16,16,12)+s(32,48,20)*
c(24,40,20)s(40,40,20)c(32,16,12)+*
s(32,24,20)s(48,16,20)-c(16,40,12)-
c(40,32,20)s(40,24,28)*t(48,56,12)+
s(48,48,20)t(16,16,12)+t(32,40,28)-
s(24,48,20)s(32,40,28)c(16,48,12)--
s(40,16,20)s(32,24,28)s(24,24,20)-*
s(32,40,20)c(24,24,12)-t(48,40,12)-
s(40,40,28)s(24,40,28)*t(32,40,28)*
c(40,40,20)c(48,40,12)s(48,24,12)+*
c(24,40,20)t(32,40,28)t(32,48,28)**
c(32,32,12)t(24,48,28)s(32,32,28)*+
c(40,24,20)t(48,40,12)-s(48,40,20)-
t(24,32,20)s(48,48,12)+t(32,40,28)*
s(8,24,12)t(32,40,28)t(40,32,20)++
s(16,48,20)s(24,32,12)-s(24,48,12)-
s(32,40,28)t(24,24,20)-s(40,24,28)*
s(32,16,20)s(32,32,28)*t(32,48,28)-
s(24,24,20)t(16,32,12)-s(24,32,12)-
s(48,24,20)c(32,32,28)s(24,32,20)-*
s(32,32,28)s(24,40,28)*s(32,24,28)*
s(40,48,20)s(16,32,12)+s(40,32,28)*
t(32,32,28)s(40,32,28)s(48,16,20)*-
c(32,32,28)s(40,40,28)s(24,24,20)--
s(24,24,20)s(24,16,20)s(32,32,20)--
c(40,24,20)s(32,32,28)*c(40,48,12)-
s(8,48,12)c(24,40,12)+s(24,24,20)-
s(32,24,28)c(32,32,28)s(16,40,20)*+
t(32,32,28)t(40,48,20)-s(32,24,28)*
c(40,32,20)s(32,40,12)-t(24,32,28)-
t(24,48,12)s(48,32,20)s(40,40,28)*+
c(32,32,20)t(40,48,20)-t(24,32,20)*
s(24,48,20)c(32,40,12)t(24,24,20)+-
c(32,40,12)s(40,16,20)c(32,40,20)-+
c(16,24,12)s(48,24,20)+t(48,16,12)-
t(24,32,20)c(40,48,12)+t(16,40,12)-
t(24,40,12)t(32,32,20)+s(32,16,12)-
s(40,24,28)t(24,24,20)-s(40,40,20)*
s(40,40,20)t(32,40,28)s(40,24,20)-*
s(40,32,20)c(32,40,20)*c(24,40,12)-
c(40,32,20)s(16,24,20)-s(24,40,12)+
t(32,40,12)s(24,24,28)s(40,48,20)-+
t(40,56,12)s(24,48,20)+s(24,40,20)*
s(48,16,20)s(48,8,12)-s(40,24,28)*
s(24,24,20)t(40,24,20)-c(32,24,12)-
s(48,24,20)s(32,24,20)c(32,32,12)--
c(24,40,20)t(32,16,12)+t(32,32,20)-
s(32,24,28)c(40,40,20)*t(40,48,12)+
s(48,40,20)t(24,32,12)c(32,40,12)+-
t(24,48,28)t(32,32,28)s(32,40,20)+-
s(40,32,20)c(24,24,20)t(32,48,28)+*
s(24,40,20)s(32,32,28)*s(16,32,20)*
t(24,40,28)s(8,8,12)s(40,32,28)+*
c(24,40,20)s(16,32,12)-s(24,32,20)-
c(32,40,20)s(32,24,12)-s(24,40,28)*
c(32,32,20)t(24,32,28)*c(40,40,12)-
s(40,32,28)s(24,24,28)-s(24,48,20)-
s(40,40,28)s(32,32,12)-s(48,24,12)-
t(40,32,20)t(32,32,20)+s(40,8,12)+
c(40,24,20)t(48,56,12)s(32,40,20)+*
s(8,40,12)s(48,8,12)+c(40,16,12)-
s(24,24,28)s(16,16,20)-t(40,40,12)-
s(32,24,28)c(40,24,20)t(24,40,20)--
c(32,32,20)s(40,32,28)s(40,24,12)-*
s(16,48,12)s(8,24,12)s(40,32,28)++
s(8,16,12)c(24,40,20)+t(32,48,28)-
t(24,48,28)c(24,32,20)t(40,48,20)-*
s(40,32,20)c(24,32,12)-s(40,40,12)+
s(32,24,28)t(32,32,28)c(24,48,12)-*
s(32,40,28)t(32,32,28)t(32,48,28)*-
t(32,32,28)s(24,16,12)-s(40,48,20)+
s(32,40,28)t(32,48,28)t(16,56,12)-*
s(24,32,20)s(32,24,20)s(32,48,20)-+
t(24,48,28)s(24,24,20)-s(24,40,28)*
t(40,32,20)t(24,40,20)-c(40,24,12)+
t(24,40,28)s(32,40,28)s(24,32,20)**
s(32,32,20)s(24,40,20)t(32,16,12)+*
s(24,32,28)s(16,48,12)-t(32,32,20)-
t(40,48,20)t(32,40,28)*t(32,40,12)+
s(16,8,12)s(32,16,12)t(16,16,12)++
c(24,40,20)s(32,16,20)-t(40,32,20)-
s(40,40,28)s(40,24,20)s(24,24,28)*-
c(32,24,20)c(40,24,20)t(40,48,20)-*
s(40,48,20)s(24,32,28)s(8,40,12)--
t(32,32,28)s(24,32,28)*t(40,40,12)-
s(48,48,20)t(24,32,20)s(48,32,12)+-
s(48,40,20)t(48,32,12)s(40,48,12)+*
s(32,32,20)c(24,40,20)*c(40,40,20)*
c(24,32,20)c(32,48,12)-t(32,24,12)-
c(32,24,20)s(24,40,12)-s(32,24,20)*
s(48,24,12)s(24,48,20)s(16,48,20)*+
s(24,32,28)t(24,24,20)-t(32,32,28)*
c(24,32,20)s(8,24,12)-t(32,40,28)*
s(24,16,20)s(24,48,20)+s(32,40,20)*
t(40,40,20)s(48,48,20)+t(48,56,12)-
c(40,40,20)s(48,40,12)s(24,32,20)+-
s(24,40,20)s(40,40,28)*t(24,48,28)*
s(48,48,20)s(48,24,20)t(32,48,12)+-
c(40,32,20)s(24,40,20)-c(48,16,12)-
c(32,40,20)s(40,32,20)+s(32,40,20)-
s(24,32,28)s(40,24,28)s(32,40,20)+*
s(40,24,28)c(24,32,12)-c(40,24,20)+
s(16,48,20)t(32,48,12)+c(32,40,20)*
s(40,40,28)s(16,24,20)-c(32,24,20)*
t(32,48,28)s(32,40,20)+s(24,48,20)*
s(8,16,12)s(32,24,20)+s(40,32,20)*
s(40,40,28)t(32,40,28)s(24,48,20)*-
s(24,40,20)s(24,24,28)s(24,40,28)**
s(40,40,28)t(32,32,28)*t(32,40,28)*
s(32,24,28)s(40,40,20)-t(32,40,28)-
c(32,32,20)c(32,40,12)-c(40,24,20)*
s(24,32,20)c(32,24,20)s(32,32,20)**
s(32,24,20)s(32,32,20)c(40,48,12)-*
s(24,24,28)t(24,32,12)-t(32,16,12)-
s(24,16,20)c(32,32,20)-s(8,16,12)+
c(24,40,20)c(40,32,12)-c(40,40,20)+
s(32,40,20)s(32,40,28)t(24,32,28)**
s(24,32,28)c(32,40,20)*c(40,40,20)*
s(48,32,20)s(40,40,20)+s(40,32,12)-
s(32,40,28)c(32,24,20)t(40,24,12)-*
c(32,40,20)c(24,40,20)s(16,40,20)**
s(16,24,20)c(24,24,20)t(24,32,28)**
t(32,48,28)s(32,48,12)-s(24,8,12)+
s(40,48,20)s(16,48,20)-t(24,40,28)-
c(40,24,20)s(48,8,12)-s(24,32,20)+
s(8,8,12)c(40,40,20)c(24,24,20)-+
s(40,32,28)s(40,32,20)-c(40,48,12)-
s(40,24,20)s(32,24,20)s(40,40,20)-+
s(16,16,20)s(24,8,12)s(8,16,12)+*
s(48,32,12)t(24,40,12)+s(32,48,20)+
s(24,40,28)c(24,24,20)t(32,24,12)--
t(24,32,28)s(8,32,12)+c(40,40,20)-
t(40,48,20)s(8,8,12)s(48,32,12)+-
t(32,48,20)s(40,32,20)+s(48,16,12)-
s(40,40,20)s(32,40,20)*t(24,40,28)*
s(8,16,12)s(32,40,28)s(16,48,20)*+
c(24,16,12)c(24,32,20)+t(32,48,28)*
t(32,40,28)t(32,32,28)c(24,32,20)+*
s(40,32,20)s(40,32,28)s(24,32,20)--
s(40,32,28)t(24,32,12)-s(40,40,12)-
t(32,32,20)c(48,24,12)+s(48,16,20)*
s(24,40,20)s(24,16,20)s(48,24,20)++
s(24,40,28)c(40,40,12)-s(24,24,28)-
s(32,40,20)s(24,32,28)s(32,32,28)**
s(32,40,12)c(40,24,20)s(32,32,12)-+
s(32,16,20)s(40,32,12)-s(40,16,20)*
s(24,32,20)c(32,32,20)c(48,32,12)-*
s(40,32,20)t(48,56,12)+s(48,40,20)*
s(24,24,12)s(16,48,12)+t(40,24,20)-
c(40,40,12)t(32,24,12)+t(32,32,20)*
s(24,48,20)t(40,24,12)+s(8,24,12)+
s(24,40,20)c(40,32,20)s(40,40,20)*-
s(48,40,20)s(40,32,20)*s(8,8,12)+
t(24,40,28)c(24,24,20)s(40,32,12)--
t(24,48,28)t(24,32,28)s(24,40,20)*-
s(32,24,28)s(40,40,20)-s(24,8,12)-
t(24,40,20)t(32,48,12)+t(32,40,28)*
c(32,24,20)s(24,16,20)*t(32,40,20)-
c(24,32,12)c(40,32,12)+t(32,32,20)*
c(32,40,20)c(32,24,20)*t(24,24,12)-
c(24,40,20)c(32,32,28)s(24,32,20)--
t(32,24,20)s(40,32,28)*s(32,48,20)-
t(32,40,28)t(24,32,20)s(24,40,20)+*
c(32,32,20)c(24,24,12)s(32,40,20)+*
t(24,32,28)c(32,24,20)s(24,40,28)*-
s(40,40,28)t(32,48,28)s(48,16,20)+*
c(24,32,20)t(24,48,28)*s(48,32,12)+
s(40,40,20)c(40,24,12)-s(32,40,20)*
s(48,48,20)t(40,24,20)+c(40,32,20)*
t(24,48,12)s(16,8,12)+s(24,16,12)-
s(40,40,28)s(32,48,12)-s(40,24,28)*
s(40,40,20)c(24,32,20)c(16,32,12)--
s(24,32,20)t(32,32,20)c(24,24,20)*-
t(32,40,28)c(24,24,20)-s(32,48,20)*
c(32,32,28)t(24,48,20)*s(32,48,12)+
s(32,32,20)t(24,40,28)*s(32,24,12)-
s(24,32,28)s(40,24,28)*t(24,56,12)+
s(16,24,20)c(48,48,12)+c(32,40,20)*
c(32,40,20)s(40,24,28)t(32,16,12)-*
s(32,32,28)c(24,24,20)c(40,32,20)--
s(24,16,20)s(32,24,28)t(16,16,12)-*
s(24,24,12)c(24,32,12)+c(16,40,12)+
t(32,40,28)t(40,32,20)-t(40,48,12)-
t(32,56,12)c(32,24,12)t(32,40,20)++
s(48,32,20)s(24,32,20)t(24,40,20)*+
s(48,24,20)s(40,24,28)s(48,16,12)-*
c(16,32,12)s(16,48,12)+c(24,32,20)*
s(40,40,28)s(48,24,20)s(40,40,20)+-
c(24,32,20)t(24,48,12)-c(32,32,20)*
t(24,48,20)t(32,48,28)s(32,24,20)+*
s(40,24,20)t(32,32,20)-s(40,32,28)*
s(24,32,12)c(48,48,12)+s(40,32,28)*
c(40,24,20)c(32,32,28)t(24,24,20)-*
s(32,32,28)s(40,32,20)t(48,32,12)--
t(32,48,28)c(24,40,12)-s(24,24,28)-
s(48,48,20)s(32,24,20)+s(40,40,20)*
c(32,24,20)c(32,40,12)-s(48,24,20)*
s(40,24,28)s(32,32,28)s(24,32,28)*-
c(24,40,20)s(32,40,20)t(40,24,20)+*
s(24,24,20)c(24,40,20)c(24,48,12)-*
t(24,40,28)s(40,32,28)*t(32,48,12)-
t(32,32,28)t(24,24,20)t(24,32,12)+*
t(32,48,28)s(24,48,20)s(32,24,20)-*
s(24,16,20)s(32,24,20)-s(32,40,28)+
t(32,32,28)t(40,56,12)t(32,24,12)+-
t(32,48,28)s(24,40,12)-t(32,48,20)*
s(32,40,20)s(24,40,20)*s(24,24,12)-
t(48,24,12)c(24,24,20)t(24,48,12)++
c(40,32,20)s(48,32,12)-t(24,32,12)-
t(32,48,20)s(16,48,12)-c(16,16,12)+
s(32,24,28)s(48,8,12)-c(16,16,12)-
s(32,32,20)s(32,16,12)-t(48,24,12)-
s(32,24,20)c(32,40,12)-s(48,40,20)-
c(24,32,20)s(40,32,20)s(32,40,28)*+
s(40,24,28)s(40,40,28)*s(32,24,20)*
c(32,32,20)t(24,32,28)*s(16,40,20)-
s(40,24,28)s(24,24,28)*s(40,40,20)-
s(32,24,20)s(24,32,28)s(48,32,12)+*
s(32,32,28)c(24,24,12)-c(24,24,20)*
s(40,32,28)c(24,48,12)s(24,24,20)+*
s(40,16,20)s(48,24,20)c(32,32,20)*-
s(40,48,20)s(24,32,28)+t(32,32,28)-
t(16,56,12)c(40,32,20)s(32,40,20)*+
s(24,24,28)s(32,40,28)s(16,24,12)--
t(40,32,20)s(48,32,20)*t(40,48,20)+
s(32,32,28)c(40,40,20)*t(32,24,20)-
s(32,32,28)s(24,32,28)*c(32,24,12)-
s(40,40,28)s(24,32,20)s(24,24,20)+*
s(24,24,20)t(32,32,28)s(32,48,20)--
s(32,40,20)s(32,24,28)s(48,16,20)-*
s(40,40,28)t(16,16,12)c(24,40,12)++
s(16,32,20)s(40,8,12)+c(24,32,12)-
s(32,40,12)c(40,24,20)t(32,48,28)-+
c(32,32,20)c(32,40,20)s(16,32,12)-*
s(40,32,28)c(32,32,28)s(24,40,28)**
c(24,40,20)s(24,32,28)*s(32,40,20)*
s(48,40,20)c(40,16,12)c(40,40,12)+*
c(24,24,12)t(40,48,20)+s(40,48,20)-
s(40,24,28)s(24,16,12)-s(48,32,20)+
s(32,32,28)c(32,32,28)s(48,24,20)*-
s(32,32,28)c(40,32,20)s(24,32,20)*-
c(40,32,20)c(24,32,12)+s(24,40,20)*
s(32,32,20)s(40,24,28)s(32,48,20)--
s(32,40,28)s(16,48,20)*s(40,32,20)-
s(32,16,20)s(32,40,28)+t(32,32,20)-
t(40,48,20)c(16,24,12)+c(24,32,20)*
c(32,32,28)s(24,48,12)s(48,16,12)+*
s(32,40,28)t(24,32,28)*t(16,24,12)-
t(32,48,28)t(24,32,28)*t(24,56,12)+
t(24,40,28)c(24,32,20)*t(32,32,28)*
s(40,48,20)t(40,48,20)c(40,40,12)+*
c(32,40,20)s(24,24,28)*s(24,32,20)*
t(48,56,12)s(24,32,12)s(32,40,12)++
s(16,40,20)t(32,32,28)s(24,24,28)*-
s(40,48,20)t(24,48,28)c(40,40,12)+*
c(32,32,28)s(16,32,20)*t(24,48,20)-
s(16,32,20)s(8,32,12)c(24,40,20)+*
s(32,16,20)s(32,24,28)s(32,8,12)-*
s(32,40,20)s(32,32,20)*c(48,48,12)-
t(24,40,28)t(32,32,12)-t(24,40,20)-
t(32,32,28)c(32,24,20)*t(40,40,20)-
s(16,32,20)s(16,24,12)-c(24,40,20)*
s(48,48,12)c(40,48,12)+c(32,40,20)+
s(48,8,12)t(24,32,20)+t(24,40,20)-
s(8,32,12)t(32,32,20)+s(16,24,20)-
s(48,24,20)s(32,40,28)s(24,40,12)--
s(48,40,20)c(32,40,20)c(24,24,12)-*
s(32,40,20)s(32,16,20)-s(40,24,20)-
t(48,56,12)c(24,32,20)+t(32,40,20)*
c(32,32,20)c(32,32,28)t(40,40,20)-*
c(16,40,12)s(40,24,28)s(40,48,20)++
s(32,32,12)c(16,32,12)+t(32,40,12)+
c(48,16,12)t(24,48,12)t(40,40,20)++
s(40,32,28)t(32,40,28)s(24,40,28)*-
s(40,16,20)c(40,24,12)-t(40,24,20)-
s(48,32,20)t(32,32,28)t(24,24,12)-*
c(40,32,20)s(40,40,20)t(24,48,12)-*
t(32,32,28)t(32,48,28)-t(24,32,20)-
t(16,48,12)s(40,24,28)s(24,32,28)*+
t(24,48,20)s(48,48,20)s(32,40,28)*-
c(32,24,20)s(24,16,20)*c(24,32,20)*
t(24,32,28)s(32,48,20)s(40,32,28)*-
s(16,24,20)s(24,24,20)s(32,24,12)-*
s(16,24,20)c(16,24,12)s(40,24,20)+*
t(24,40,28)c(32,32,20)*c(24,24,12)-
s(16,40,12)t(32,32,20)+s(40,32,20)*
t(24,40,28)s(24,40,20)*s(16,48,12)-
s(40,40,12)c(16,48,12)+c(16,40,12)-
s(24,48,20)c(32,32,28)c(32,32,20)--
s(16,40,20)c(24,40,20)*s(16,32,12)-
c(40,32,20)s(32,24,28)s(24,40,20)*-
c(24,40,20)t(24,32,28)*t(32,40,20)*
s(40,24,28)c(32,24,12)-c(16,48,12)+
t(40,56,12)s(24,40,28)s(32,32,28)*+
s(16,32,12)s(24,24,28)c(16,40,12)-+
s(16,32,20)t(32,40,20)+t(24,48,20)-
c(24,24,20)s(40,32,20)c(48,40,12)-*
s(24,40,28)s(48,32,20)+s(40,32,12)-
c(32,32,20)c(24,40,20)*s(32,24,12)-
s(24,24,28)c(32,40,20)c(24,48,12)-*
s(24,32,28)t(24,32,28)s(40,40,28)*-
t(32,32,28)c(24,40,20)*s(24,40,12)-
s(24,32,28)c(40,40,12)-s(32,48,12)+
t(24,40,28)s(24,24,28)c(32,32,12)--
s(24,32,28)s(32,24,20)s(16,40,20)+*
s(24,16,12)s(24,48,20)c(32,40,20)*+
s(32,24,20)t(24,24,20)t(40,32,20)--
s(32,40,28)s(32,32,20)c(24,32,20)*-
t(16,48,12)s(32,24,20)c(24,24,20)*+
s(40,24,20)t(24,32,20)s(16,32,20)*-
s(24,24,20)s(24,32,28)s(32,16,20)**
s(24,24,12)t(32,48,20)+s(16,16,20)-
s(24,40,28)s(32,40,28)*s(24,24,12)-
c(24,24,20)s(40,24,20)*s(24,24,20)*
s(16,32,20)t(32,48,28)-s(48,16,20)+
t(32,48,28)c(32,32,20)+t(24,40,20)-
s(32,48,20)s(24,16,12)t(32,48,20)++
s(32,24,20)s(32,16,20)*t(48,24,12)+
s(40,40,20)s(32,40,28)t(24,32,28)*+
c(24,24,20)c(24,32,20)s(16,32,20)*-
t(24,48,20)t(40,24,12)+s(32,16,20)-
s(24,32,28)s(40,48,12)-t(32,48,12)+
s(32,32,28)t(24,24,20)-c(32,32,20)*
c(24,40,12)t(40,16,12)+t(24,24,12)+
s(40,40,28)c(24,40,20)*s(40,48,20)*
c(32,40,20)s(24,48,20)s(48,24,20)+*
c(24,40,20)s(40,40,12)-t(32,32,20)-
s(40,24,28)s(24,32,12)-t(48,40,12)-
c(24,40,20)c(16,32,12)-t(24,48,28)*
s(32,24,20)c(24,48,12)+c(24,24,12)-
t(32,32,28)t(24,40,20)s(40,40,12)+-
s(24,24,28)c(16,32,12)-s(8,16,12)-
t(32,40,28)t(40,48,20)-s(32,16,12)+
s(24,32,28)t(32,40,20)c(32,16,12)+*
s(32,32,20)s(32,24,28)s(40,40,28)**
t(32,32,28)c(40,40,12)c(24,40,12)+*
s(32,24,28)s(40,16,12)t(24,40,20)+*
c(40,24,20)s(24,40,20)-s(40,32,12)-
s(32,24,28)s(32,48,20)t(32,40,20)*-
c(24,40,20)s(24,48,20)*c(16,48,12)+
c(32,32,28)c(16,40,12)-s(48,24,20)-
t(24,32,28)c(32,32,20)c(24,40,20)--
c(16,16,12)s(32,24,20)+t(24,32,28)*
s(40,32,20)c(32,24,12)+t(24,32,28)-
s(24,32,28)t(32,48,28)s(24,40,20)++
s(16,32,20)t(24,40,28)t(32,32,28)**
s(40,32,20)t(48,40,12)-t(40,24,20)+
s(40,32,20)c(32,32,20)c(40,16,12)+*
s(32,24,20)s(16,24,20)t(24,24,12)--
s(48,24,12)t(32,32,28)s(40,40,20)++
t(32,40,28)t(32,48,20)c(24,24,12)+*
c(40,40,20)c(32,24,12)-t(32,32,28)-
t(40,48,20)s(40,24,28)s(24,40,28)*-
s(48,16,20)s(48,32,20)c(16,32,12)+-
s(48,24,20)t(24,48,28)s(24,24,20)+-
s(16,24,20)s(24,32,20)s(40,48,12)+-
t(32,32,28)s(40,40,20)+s(40,32,28)*
s(40,24,28)s(40,8,12)-s(32,48,20)-
t(24,40,28)s(24,24,28)s(24,40,28)**
t(32,32,28)s(32,48,20)s(32,40,20)+*
s(8,16,12)s(32,32,28)+s(40,32,28)*
s(40,32,20)c(40,24,20)s(40,32,28)**
s(48,48,20)t(24,32,28)s(24,48,12)--
s(48,40,20)t(32,32,28)+t(32,24,20)-
t(48,48,12)c(40,24,20)+s(32,8,12)-
c(24,24,20)t(24,32,12)-c(32,32,20)*
s(16,8,12)t(24,40,28)c(48,48,12)-+
s(48,24,20)c(32,24,20)*c(24,32,20)+
c(24,40,20)c(40,24,12)-s(16,40,20)*
t(40,48,20)t(24,32,28)c(24,48,12)++
c(40,16,12)c(24,16,12)+t(40,16,12)-
s(32,40,20)s(48,8,12)s(40,48,20)+*
t(24,32,28)c(40,32,12)-t(24,48,28)-
s(40,16,12)s(32,40,12)+s(40,48,20)+
s(24,32,28)c(40,40,20)c(32,40,20)**
t(24,40,28)t(32,24,12)+s(48,8,12)+
t(32,40,28)s(40,24,20)t(32,24,20)*-
s(24,24,28)s(40,32,28)*s(32,16,12)-
s(48,40,20)t(24,48,28)+c(40,32,20)*
c(24,32,20)t(16,40,12)-t(24,32,28)*
c(16,24,12)t(48,16,12)+s(40,16,20)-
s(8,32,12)s(24,48,20)t(24,40,20)*+
s(48,16,20)s(40,24,28)t(40,32,20)-*
c(40,40,20)c(32,40,20)*t(48,40,12)-
c(24,40,20)t(24,24,20)-s(48,32,20)+
s(48,48,12)c(32,32,20)s(32,24,20)*+
s(24,48,12)s(40,24,28)c(32,32,12)-+
s(32,48,20)s(24,24,20)+s(40,32,28)*
s(32,32,28)c(40,32,20)*c(24,32,20)*
s(48,8,12)s(32,48,12)+t(32,48,12)-
s(24,24,28)s(40,16,20)*s(16,24,20)+
s(16,32,12)c(32,40,20)t(40,56,12)-+
s(8,32,12)t(16,56,12)t(48,40,12)++
t(24,48,28)c(40,48,12)-s(24,32,20)-
t(40,56,12)c(24,24,20)+t(24,40,28)*
t(32,40,28)c(40,40,12)-s(8,48,12)-
t(24,48,28)t(24,48,28)s(32,40,20)*-
s(16,48,20)s(24,32,28)*t(40,16,12)+
s(32,40,12)s(24,16,20)s(24,32,20)*+
c(32,32,28)s(40,40,28)s(48,24,12)-*
t(32,40,20)s(48,8,12)+s(32,48,20)-
s(40,40,20)s(32,40,28)t(40,24,20)-*
c(24,40,20)t(32,24,12)-c(32,24,20)*
s(32,40,20)s(24,32,20)s(16,16,12)--
s(32,24,20)c(32,40,20)t(24,24,20)--
t(40,56,12)s(16,40,20)c(32,48,12)-+
c(40,24,12)s(24,24,12)+s(48,32,12)-
s(32,32,28)t(40,32,12)-s(40,24,28)*
c(24,40,20)t(40,40,12)-s(8,8,12)+
s(24,40,28)s(16,32,20)c(48,16,12)+*
c(24,32,20)c(24,24,12)-s(24,24,28)*
t(32,24,20)c(16,32,12)-s(40,16,12)+
t(24,32,28)s(32,24,12)c(32,48,12)+-
c(40,32,20)s(24,24,20)-c(40,24,20)*
s(8,40,12)c(32,32,12)+s(16,32,20)*
c(40,40,20)s(32,40,12)-s(24,40,20)-
t(40,24,20)s(16,16,12)+c(24,40,12)+
s(40,24,28)s(40,32,28)*s(32,40,20)*
c(24,32,20)s(32,48,12)+t(24,40,28)*
t(32,40,28)t(48,16,12)s(24,32,20)+*
s(24,32,28)s(16,8,12)s(24,32,12)+*
t(32,40,28)c(48,48,12)-s(32,24,28)*
c(40,24,20)c(32,32,20)c(24,32,20)**
c(24,24,20)s(32,32,28)s(40,16,12)-*
s(40,32,20)s(24,40,28)s(32,24,28)**
c(48,16,12)c(32,40,20)+s(40,48,20)-
t(32,32,28)c(40,32,20)*c(24,40,20)*
s(32,16,12)s(8,16,12)+c(16,24,12)+
c(32,40,20)t(32,32,12)s(16,40,20)+*
c(40,32,20)c(32,40,20)s(40,40,28)**
s(24,32,28)s(16,40,12)-s(40,16,20)-
s(48,32,20)s(32,32,28)t(24,40,28)-*
t(40,48,20)s(8,16,12)s(32,24,12)++
s(40,40,28)t(32,32,20)s(32,24,20)*-
c(32,24,20)c(24,24,20)s(40,16,20)-*
c(16,48,12)s(40,24,28)s(32,32,12)-+
t(32,40,28)s(32,32,20)*t(32,40,20)*
s(32,48,12)s(40,40,12)+s(32,48,20)*
s(16,40,20)c(32,40,20)s(32,24,12)--
s(16,16,12)s(24,32,20)+s(32,32,28)*
s(32,24,20)s(40,32,28)s(40,24,28)**
s(40,32,20)c(32,32,20)*c(24,24,12)-
t(32,32,28)s(32,32,28)c(40,32,12)-*
t(24,40,20)t(32,40,12)t(32,32,20)++
c(32,32,28)t(24,48,28)-s(24,40,28)*
s(40,32,20)c(48,40,12)c(48,32,12)+*
s(24,40,20)s(24,24,28)*t(40,56,12)+
s(16,40,20)c(24,24,20)-t(24,56,12)+
s(32,32,28)c(40,32,20)*s(24,40,28)*
t(24,32,28)c(24,24,20)s(48,24,12)+*
s(16,16,12)s(40,40,20)s(32,48,12)-+
c(24,40,12)s(24,24,20)t(24,40,12)++
s(24,48,20)s(16,32,12)t(40,40,20)+-
s(40,24,20)s(16,48,20)+c(24,40,20)*
s(40,32,20)s(32,32,20)*c(32,48,12)-
s(40,40,20)s(32,32,28)+c(24,40,12)-
s(32,24,20)s(24,48,20)+c(16,32,12)-
c(24,24,20)c(16,32,12)-c(40,40,12)-
s(16,32,20)c(32,32,20)-c(48,24,12)+
c(24,32,20)t(40,40,12)-s(32,32,28)*
s(16,24,20)c(24,24,20)s(40,32,28)*-
s(32,32,20)c(32,40,20)c(40,40,12)-*
s(32,24,28)c(24,24,20)c(40,24,12)--
s(40,24,20)c(32,40,12)+s(48,32,20)*
t(24,40,28)c(32,40,20)s(16,48,20)--
s(48,48,12)s(32,32,12)s(32,16,12)++
s(24,40,20)s(32,32,20)+s(40,24,20)*
s(32,48,20)s(24,24,28)-t(16,16,12)+
t(32,48,28)c(32,24,12)-s(40,32,28)*
s(24,40,20)t(24,32,28)t(32,40,28)*-
t(32,48,28)s(24,40,28)t(32,32,12)-*
s(24,48,20)t(32,48,12)-s(40,48,20)-
c(32,32,28)c(32,40,20)-s(24,24,28)*
s(40,40,28)s(16,24,20)s(24,32,20)*-
c(40,24,12)s(24,24,20)s(32,16,20)*+
s(16,48,20)t(24,48,12)-c(32,40,12)+
c(24,48,12)s(40,8,12)+c(24,32,12)-
s(32,32,28)t(24,40,28)*t(32,40,20)*
t(24,16,12)t(40,32,20)+t(32,32,12)-
s(40,40,28)t(32,32,28)-s(48,40,20)*
s(24,24,28)c(24,32,20)*c(40,32,20)*
s(16,40,20)s(16,24,20)s(40,24,12)+-
s(32,48,20)s(40,40,28)*s(24,40,28)*
t(40,48,20)s(40,40,12)s(48,40,12)++
s(24,24,28)t(24,32,28)*s(8,40,12)-
s(8,8,12)t(40,24,20)+c(32,16,12)-
s(40,40,20)c(40,40,20)s(48,24,20)*-
c(24,40,20)s(16,32,20)-c(32,32,12)-
c(32,24,20)s(32,8,12)-s(24,24,28)+
s(16,24,20)c(32,24,20)t(16,32,12)--
s(40,32,28)s(48,40,20)s(48,16,20)+*
c(40,24,20)s(32,24,20)*c(32,40,20)*
c(40,32,20)c(24,40,20)s(32,40,20)**
t(40,48,20)t(32,32,28)t(40,24,12)-+
s(40,40,20)t(48,24,12)-s(24,48,20)-
s(16,32,20)s(40,40,20)-t(24,32,28)*
s(32,40,20)s(40,32,28)*c(40,32,12)-
s(24,24,20)s(16,40,12)-t(32,24,12)-
s(40,32,28)s(40,48,20)-c(40,40,20)*
c(32,32,28)s(48,40,20)*s(24,32,20)-
s(24,40,20)s(32,48,20)+c(24,40,20)*
c(24,32,20)s(32,40,28)t(40,24,12)--
s(16,24,20)s(24,48,20)s(32,32,28)*-
c(32,32,20)s(32,24,20)*c(24,24,20)*
s(48,8,12)t(40,32,20)+s(32,32,28)*
t(24,32,20)t(24,32,28)s(32,40,28)**
c(24,32,20)s(40,40,28)c(32,24,20)+*
s(8,32,12)c(40,24,20)+s(16,32,20)*
s(32,32,28)c(32,32,12)-t(32,32,28)*
s(32,32,28)c(40,16,12)c(16,24,12)+-
s(40,24,28)s(48,32,12)s(48,8,12)+*
s(24,24,28)s(48,24,12)+t(24,40,28)*
s(40,16,12)t(24,56,12)+s(16,48,12)-
s(40,48,12)s(8,24,12)+c(32,40,20)+
s(24,40,20)s(32,24,28)s(24,16,12)-*
s(24,40,20)s(32,24,12)-s(24,24,28)*
s(24,24,20)t(24,40,28)t(32,48,28)*-
s(16,48,20)s(24,40,28)s(8,48,12)-*
s(48,32,20)s(40,40,28)*s(40,24,28)*
c(16,24,12)s(32,48,20)c(24,48,12)-+
s(24,40,12)c(40,32,12)+s(16,32,20)-
t(40,24,12)s(24,32,20)+t(24,48,28)*
s(40,40,28)s(24,40,12)-s(24,32,28)*
s(16,8,12)s(24,48,20)+t(24,48,20)-
t(32,16,12)t(32,40,20)+t(32,24,20)-
s(16,32,20)c(40,40,20)-s(48,16,20)+
c(32,40,20)t(40,24,20)-t(40,48,20)*
c(32,40,20)t(24,32,12)-s(16,40,12)-
t(32,40,28)t(24,48,20)c(32,32,28)**
s(48,16,12)s(32,40,12)+t(48,24,12)+
t(24,40,20)t(40,16,12)s(48,40,20)+-
s(40,32,28)c(48,24,12)-c(24,40,20)*
c(24,24,20)s(16,16,12)s(40,48,20)+-
t(16,56,12)t(32,24,20)+s(32,48,20)-
c(32,32,28)t(24,32,28)-t(24,48,20)-
s(24,24,20)t(24,48,28)s(40,32,28)*-
s(24,40,28)c(40,40,20)*s(48,16,20)-
c(24,40,20)s(40,40,28)c(32,24,20)+*
s(24,48,20)t(40,24,12)t(24,56,12)+-
t(24,40,20)s(8,48,12)+t(40,48,20)-
s(24,32,20)t(24,40,28)s(32,48,12)-*
s(40,16,20)s(48,40,20)-s(32,16,20)*
s(32,40,20)c(40,32,20)t(32,40,20)*-
s(48,32,20)s(24,24,28)s(40,32,20)*-
s(24,40,20)s(40,24,28)-t(32,48,28)+
s(40,32,28)c(16,16,12)s(48,40,12)+-
s(24,40,28)t(24,48,28)*s(32,40,20)*
s(40,32,28)s(24,40,28)*t(40,48,20)-
s(16,16,20)s(32,16,12)-s(40,32,20)+
s(24,40,20)c(24,40,20)c(32,24,20)**
c(24,24,20)t(24,32,28)t(32,48,20)--
s(24,24,12)c(32,24,20)s(40,32,20)*+
s(32,40,28)s(24,40,28)*c(40,24,20)*
t(32,32,28)c(40,24,20)c(40,32,20)**
s(40,24,28)s(24,8,12)s(24,16,12)+-
t(24,32,28)c(32,24,20)t(40,16,12)-+
t(32,40,28)s(24,40,28)c(32,32,28)**
s(40,32,28)c(24,40,20)-c(40,32,20)*
t(40,32,20)s(24,40,28)s(32,16,20)+*
s(32,48,20)s(40,32,20)s(32,16,12)--
c(32,32,20)c(40,24,20)s(32,40,12)-*
s(24,40,20)s(24,48,20)*t(40,48,12)-
s(32,40,20)c(24,24,12)-s(40,40,12)-
s(24,24,20)s(40,32,28)s(48,24,20)*+
t(24,32,28)c(32,24,12)s(8,40,12)+*
c(32,24,20)s(40,40,28)t(24,40,28)*-
s(24,40,20)s(32,32,28)s(48,32,20)*-
s(24,16,20)t(24,24,20)t(16,24,12)--
s(32,40,20)s(16,40,20)s(16,32,20)+*
s(32,24,20)c(16,16,12)-t(48,32,12)-
s(24,32,28)s(16,32,20)s(16,24,12)-*
s(16,40,20)s(32,24,20)+s(48,16,20)-
t(32,32,28)t(32,56,12)+s(24,40,28)*
t(24,24,20)t(40,24,12)t(40,40,20)+-
c(24,40,20)s(16,48,20)t(32,40,12)++
t(24,32,20)c(40,24,20)t(24,48,28)--
c(32,40,20)c(40,32,12)-t(32,32,28)*
c(32,40,20)t(32,24,20)s(40,40,12)--
s(32,24,20)s(40,24,20)c(24,24,12)-*
c(24,32,20)s(24,16,20)s(32,16,12)--
s(8,8,12)s(48,16,20)c(48,24,12)-+
s(24,32,28)c(32,16,12)-s(8,32,12)-
t(32,48,28)t(32,40,28)s(40,24,28)*-
s(48,24,20)t(24,40,20)t(16,32,12)-+
s(40,32,28)s(40,24,28)*t(40,40,20)-
s(24,48,20)s(24,32,20)c(16,48,12)+*
s(48,32,20)c(40,24,20)*s(16,32,12)+
t(24,40,20)s(24,16,20)-c(40,40,12)+
c(40,32,12)t(32,40,20)+s(40,24,20)*
c(24,32,20)c(40,24,20)s(32,24,28)**
s(40,32,28)s(32,40,28)s(16,32,12)-*
s(48,40,20)s(32,40,20)t(24,48,28)*+
s(16,24,20)s(16,32,12)t(48,24,12)+-
t(24,32,28)s(24,32,20)s(32,24,20)--
s(24,32,20)s(24,24,28)c(24,40,12)-*
t(40,40,12)s(16,32,20)s(16,16,12)-+
s(24,24,12)s(40,48,12)+t(48,48,12)-
t(32,32,20)s(40,32,20)c(24,24,20)--
s(40,24,28)t(24,16,12)-s(40,8,12)-
s(48,16,20)s(24,24,20)t(24,40,28)*+
t(32,32,20)t(24,56,12)+s(40,16,20)+
t(24,32,28)s(40,32,20)s(48,16,20)-*
c(40,32,12)t(32,32,28)t(24,40,28)*+
s(24,24,28)s(24,40,12)c(32,16,12)+*
s(24,48,12)s(40,32,28)t(40,32,12)-+
s(32,24,28)c(40,32,20)*t(40,24,20)*
s(32,16,20)s(32,32,28)t(32,56,12)+*
s(24,40,28)s(40,24,20)c(24,32,20)*-
s(16,8,12)c(48,16,12)+s(16,48,12)+
s(40,24,28)c(32,16,12)-t(24,32,20)-
t(32,56,12)t(32,40,20)+s(48,32,20)-
s(40,16,20)s(32,32,12)+s(40,40,20)-
c(24,32,20)t(24,16,12)-s(32,24,28)*
t(32,48,20)s(24,40,20)t(48,56,12)+*
t(32,32,28)t(40,24,20)+t(32,32,12)-
c(40,16,12)s(48,24,20)c(48,16,12)-+
c(48,32,12)c(24,48,12)+c(40,32,20)*
c(24,24,20)t(40,24,12)-s(32,40,28)*
c(24,24,20)t(40,24,20)-s(24,40,28)*
s(40,40,28)s(24,48,20)*s(24,40,20)*
s(32,16,20)c(40,48,12)c(24,32,20)+*
c(32,32,12)s(40,40,20)+s(32,48,20)*
c(24,40,20)t(16,24,12)-c(40,32,20)*
t(24,32,28)s(32,48,20)s(40,48,20)*-
s(32,24,28)s(24,16,12)-c(40,40,20)*
s(48,40,20)c(24,32,12)c(40,48,12)+-
t(24,40,12)s(40,32,20)s(24,32,12)-+
c(40,24,20)c(32,40,20)s(16,48,12)--
c(16,48,12)s(40,24,20)c(40,40,20)++
c(32,24,20)t(40,32,20)*c(24,48,12)-
s(40,40,28)c(48,24,12)-c(32,40,12)-
s(16,32,12)s(16,48,20)+t(16,24,12)-
s(32,24,20)t(24,24,20)s(24,48,20)--
c(32,32,20)s(24,32,28)s(32,48,12)-*
s(48,48,20)c(16,32,12)+c(24,32,20)-
c(40,24,20)t(32,32,28)c(16,32,12)+*
c(24,24,20)s(16,40,12)+s(8,32,12)-
c(40,40,20)t(24,48,20)+t(32,48,28)-
c(32,24,20)s(24,40,12)-s(24,32,20)*
c(24,24,20)s(16,32,12)-s(48,24,20)-
c(40,24,20)c(32,32,20)+s(24,16,12)-
s(32,40,28)c(40,24,20)*s(16,24,20)-
s(24,32,28)c(48,32,12)c(32,24,20)+*
s(48,48,20)s(24,40,28)-s(48,32,12)-
s(24,16,20)s(24,24,28)t(24,32,28)**
s(8,24,12)s(24,48,20)s(40,32,28)++
s(32,24,28)s(40,24,20)s(24,24,12)-*
s(24,32,20)t(24,48,12)+s(40,24,20)+
c(32,32,28)c(40,48,12)-s(48,32,20)*
c(32,32,20)t(32,32,12)-t(32,32,20)-
s(24,32,28)t(40,40,20)-s(40,24,28)*
c(32,32,20)s(32,24,28)*t(32,16,12)-
s(32,16,20)s(24,32,28)s(40,48,20)-*
c(24,32,20)s(40,24,28)*s(40,32,20)*
s(16,24,20)s(48,24,20)+c(32,32,20)*
t(24,40,28)s(16,40,12)-c(40,40,20)*
c(32,48,12)t(40,48,20)t(48,16,12)++
s(40,16,20)s(40,24,20)c(24,24,20)*-
s(24,24,28)c(24,32,20)*s(32,32,12)-
s(40,48,12)s(24,16,20)+s(32,32,20)*
s(32,16,20)s(24,32,12)-c(40,32,20)-
c(32,40,20)c(24,32,20)s(32,32,20)**
t(40,16,12)t(40,32,20)+c(32,32,20)*
t(32,40,28)t(16,48,12)c(32,48,12)+*
s(16,24,12)c(24,40,20)+s(16,48,20)*
c(40,32,20)t(32,48,20)-c(32,32,20)*
s(32,32,28)c(40,40,20)c(24,16,12)+-
s(40,24,28)s(48,40,12)-s(32,24,20)*
c(40,32,20)t(24,16,12)+s(32,32,28)*
c(40,32,20)s(48,16,12)-s(32,32,12)-
s(48,24,20)s(48,32,20)t(40,32,20)*-
c(24,40,20)t(24,24,20)s(24,40,28)*-
c(40,24,20)s(40,24,28)c(40,32,12)-*
s(24,40,28)c(40,32,20)t(32,32,28)**
c(32,32,28)s(48,16,20)*s(24,40,28)-
c(48,40,12)s(8,8,12)+c(24,24,12)+
c(40,48,12)t(24,48,28)+s(24,40,20)-
s(8,32,12)c(40,48,12)+c(16,40,12)-
s(40,24,28)c(40,24,12)-c(32,40,20)*
c(24,24,20)t(32,40,12)-s(32,24,28)*
t(24,40,28)t(32,40,28)*s(24,24,20)-
c(40,40,20)s(40,32,20)s(40,48,12)+*
s(40,32,28)t(24,40,12)-c(40,40,12)-
t(40,48,12)c(40,40,12)+c(16,32,12)+
s(40,16,20)s(32,24,28)+s(16,24,20)*
s(48,32,20)c(48,40,12)-c(32,32,28)*
c(32,32,12)t(24,40,20)+t(40,24,12)-
s(40,40,28)t(32,40,28)t(40,40,12)-*
t(24,32,28)s(40,32,20)*t(48,24,12)+
s(48,32,12)s(24,24,12)+s(40,32,28)*
s(24,24,28)s(32,16,12)-s(32,40,28)*
c(40,32,20)t(40,16,12)-s(24,24,28)*
t(24,48,28)c(40,32,20)+s(48,24,12)-
c(32,32,20)s(40,32,28)*s(32,40,28)*
c(32,24,12)c(16,32,12)+c(32,24,20)*
s(24,24,28)c(32,32,28)t(24,48,28)*-
s(24,40,28)s(24,32,20)-c(24,32,20)-
s(24,40,20)s(32,32,28)s(40,32,20)-*
s(8,32,12)s(40,24,20)s(32,40,20)-+
c(32,48,12)s(16,32,12)+s(24,16,20)-
c(24,24,20)s(8,16,12)-s(32,40,12)+
s(32,32,28)c(32,24,20)*c(40,40,20)*
c(32,40,20)t(40,32,20)s(40,48,20)+*
s(24,24,12)s(40,16,20)+s(40,24,12)-
t(24,40,28)s(24,32,20)s(48,24,20)--
c(40,40,20)c(40,40,12)-c(24,24,20)-
s(40,24,28)s(24,24,20)*s(24,40,12)-
s(40,16,12)s(16,48,12)s(48,32,20)++
t(24,48,28)s(24,24,20)-s(48,40,20)-
c(24,40,20)c(24,48,12)-c(24,24,20)*
s(24,40,12)s(24,24,20)s(32,32,28)*+
s(16,48,20)s(48,40,20)s(32,40,20)*+
s(8,48,12)t(24,40,20)+s(32,24,20)-
c(40,24,20)t(16,16,12)+c(32,40,20)*
s(32,40,28)c(32,40,20)t(24,40,20)--
s(16,32,20)c(24,32,20)*s(16,24,20)*
c(48,16,12)t(24,56,12)c(40,40,12)++
s(32,32,12)t(16,48,12)+t(24,24,12)-
s(32,32,12)t(24,56,12)t(24,40,20)++
t(32,32,28)c(24,40,20)s(16,32,20)**
s(32,32,28)t(32,40,28)t(40,48,12)-*
t(32,24,12)c(40,24,12)+c(48,40,12)-
s(40,32,20)t(48,24,12)c(16,48,12)+-
c(48,24,12)t(32,32,28)s(24,40,28)*+
s(48,24,20)s(48,8,12)s(48,24,12)+*
c(40,24,20)c(32,24,20)*t(24,32,20)-
t(32,32,28)s(40,8,12)t(24,32,28)+*
s(32,40,20)s(16,32,20)s(24,40,28)*-
c(40,40,20)c(32,32,20)s(24,16,12)-*
s(24,24,20)t(32,40,20)-s(24,16,20)*
c(32,24,12)t(24,32,12)+c(24,24,12)+
s(40,48,20)c(24,24,20)-s(32,40,28)*
c(40,32,20)s(32,32,28)t(40,40,12)-+
s(24,24,28)t(32,32,28)t(24,40,20)*-
s(48,40,20)c(32,24,20)c(24,32,20)--
s(32,24,12)c(32,40,20)s(24,32,28)*+
t(24,48,20)c(32,48,12)+c(40,40,20)*
c(24,32,20)t(24,16,12)-s(32,32,28)*
s(40,24,28)s(48,40,20)-s(40,40,28)-
s(16,40,20)s(24,48,12)t(32,48,20)+-
s(24,24,28)t(32,32,28)*t(32,40,12)-
s(24,48,20)s(24,40,20)c(24,24,20)*-
s(32,40,20)c(32,32,20)*s(32,24,12)-
t(40,40,20)s(48,48,20)t(24,48,20)+*
c(40,16,12)t(24,40,28)+s(40,16,12)-
c(32,40,20)t(24,40,20)s(40,40,20)+*
s(48,40,20)c(32,32,28)*c(40,16,12)+
t(24,48,20)c(24,40,20)t(24,24,20)-*
s(40,32,20)t(32,32,28)s(32,24,20)**
t(32,32,28)t(24,32,28)s(24,24,28)**
c(32,32,28)c(40,16,12)-c(16,40,12)-
s(48,32,12)t(24,24,20)+c(16,40,12)-
s(16,40,12)s(48,40,12)+t(24,48,20)-
s(32,40,28)c(40,32,12)-s(40,16,20)+
s(24,32,28)s(16,48,12)s(32,48,12)+*
c(24,40,20)t(40,32,20)-s(32,40,20)+
s(24,32,20)s(40,48,20)t(32,48,20)*-
c(32,32,20)t(40,24,20)t(32,24,12)--
c(32,40,20)s(40,48,20)t(40,40,20)*-
t(48,16,12)c(40,16,12)+t(16,56,12)+
t(32,40,28)t(16,56,12)+s(32,24,20)*
t(24,40,28)s(32,24,28)s(32,40,28)**
c(32,40,20)c(32,48,12)-t(32,32,20)*
s(40,24,20)c(40,40,20)s(40,24,28)**
c(32,40,20)t(16,48,12)-s(48,32,12)-
s(40,32,28)t(24,40,28)*s(8,8,12)+
s(48,40,20)t(40,24,20)-t(40,40,12)-
s(40,32,20)t(32,48,20)s(8,16,12)+-
t(24,32,28)s(24,48,20)c(32,32,28)**
c(32,24,20)s(40,24,12)-s(32,40,20)-
c(32,32,20)t(32,32,12)-s(32,24,20)-
s(32,24,20)s(32,32,20)*s(24,32,20)*
t(32,32,28)s(32,32,28)t(32,40,28)**
s(32,24,28)s(16,48,12)+t(32,32,28)-
s(8,24,12)s(16,32,20)s(24,32,20)*+
s(32,32,28)t(32,16,12)-c(40,32,20)*
s(32,48,20)c(24,40,20)c(16,16,12)+*
s(32,32,28)c(40,32,20)s(32,48,20)-*
s(24,40,20)s(16,40,20)t(48,40,12)+*
t(32,48,28)c(48,48,12)-c(40,40,12)-
t(24,40,20)c(24,40,20)t(32,32,28)**
t(24,48,28)s(40,48,20)s(32,32,20)+*
t(24,48,28)s(40,40,28)s(40,16,20)-*
s(16,48,20)t(24,40,28)s(24,32,12)-*
c(32,40,20)s(24,24,28)c(32,32,20)**
t(24,32,28)s(24,48,12)s(24,24,12)+*
s(32,40,28)s(32,24,28)s(16,40,20)+*
t(32,24,20)c(16,32,12)+s(24,40,12)-
c(24,40,20)t(32,24,20)t(32,40,20)--
s(40,32,20)c(40,24,20)*s(40,48,20)-
s(32,40,12)s(16,8,12)+s(40,40,12)-
c(40,40,20)s(16,32,12)t(40,32,20)+*
t(32,32,28)s(40,32,20)*s(16,16,20)-
c(32,40,20)s(32,32,28)t(32,48,20)-*
c(40,24,20)c(32,16,12)t(24,48,28)+*
s(48,24,20)t(32,40,20)t(40,48,12)+-
s(24,24,28)c(32,32,28)*s(48,32,20)-
s(8,16,12)c(32,40,12)s(16,24,12)++
s(24,40,28)s(32,48,20)s(40,32,12)-*
t(16,16,12)s(16,48,20)+c(24,40,20)*
c(24,32,20)s(32,40,20)*t(32,32,12)-
s(24,40,28)t(24,40,12)-t(32,48,28)-
c(40,40,20)t(48,56,12)-t(40,40,20)-
s(40,32,20)t(24,48,20)-c(24,32,20)*
s(32,24,28)s(24,32,20)*s(16,24,20)*
s(40,40,20)s(24,24,28)s(16,24,20)--
s(40,32,20)c(32,24,12)s(24,48,20)+*
s(48,16,20)t(32,48,28)c(40,40,20)*+
s(32,40,28)t(24,48,20)-s(32,32,28)*
s(24,40,28)t(24,32,12)-c(40,24,12)-
s(24,24,28)c(40,24,12)t(24,40,28)+*
t(40,40,20)c(40,40,20)s(32,40,20)**
c(32,40,20)s(40,32,20)-s(16,24,20)+
c(32,40,20)s(40,24,12)-s(40,40,20)-
s(16,40,20)t(32,32,28)s(32,40,28)*-
s(24,16,20)s(24,24,28)t(24,32,28)**
s(40,24,20)s(32,40,28)s(40,48,20)*+
s(40,40,20)t(24,40,28)s(16,40,20)*-
c(24,24,20)t(32,32,28)*s(32,8,12)-
c(32,24,12)c(16,32,12)+s(16,40,20)*
s(40,24,20)s(16,32,20)+s(48,32,20)-
s(40,24,20)s(40,40,28)c(48,32,12)--
c(32,32,20)s(16,16,20)-s(32,24,20)-
c(24,24,20)s(24,32,20)s(48,8,12)+*
c(32,40,20)s(24,24,28)+s(40,48,20)-
s(48,16,20)s(32,24,28)*t(48,32,12)-
s(32,32,28)c(40,24,12)s(16,16,20)+*
c(32,32,28)t(32,32,20)s(16,32,20)+*
s(24,48,20)c(40,48,12)-c(40,24,20)+
s(24,32,20)t(16,32,12)-s(32,32,20)*
c(40,24,20)s(40,40,28)+s(48,16,20)*
s(24,16,20)c(32,32,20)s(48,24,20)+*
c(32,40,20)c(40,16,12)+s(16,48,12)-
t(24,48,28)s(24,32,28)c(32,32,20)**
s(40,32,28)c(24,24,12)t(24,32,20)+-
s(32,8,12)s(32,32,28)c(24,48,12)-+
t(40,48,20)t(40,32,12)-c(24,40,12)-
s(40,32,28)s(16,40,20)+s(48,32,12)-
s(32,32,28)t(24,32,28)-t(24,40,20)-
s(48,48,20)c(32,40,20)c(24,40,20)*-
c(32,48,12)c(24,16,12)+s(24,16,12)-
s(24,48,20)s(40,48,20)*s(48,40,12)+
s(24,32,28)t(48,16,12)+s(40,24,28)*
t(24,32,28)t(24,40,28)s(40,40,28)*-
t(48,48,12)s(24,40,20)c(24,32,20)*+
s(48,24,20)t(32,40,20)s(32,16,12)+-
s(32,24,20)s(32,24,28)s(40,32,28)**
s(24,40,28)s(16,40,20)t(32,32,28)-*
t(24,40,28)c(32,24,20)c(32,48,12)+*
s(24,32,28)t(32,40,12)-s(24,16,20)-
c(40,40,20)c(24,40,12)+c(32,24,20)*
s(48,40,20)c(48,48,12)-t(48,24,12)-
t(32,40,28)t(48,32,12)s(16,48,20)+*
s(32,32,20)c(24,24,20)s(24,16,12)-*
c(24,32,20)c(24,40,20)*t(32,48,20)+
s(48,24,20)s(32,24,28)+s(16,16,20)*
s(16,40,20)s(16,48,20)t(32,32,20)-*
s(24,16,12)t(32,48,28)c(32,32,28)*+
s(32,24,12)s(32,32,20)t(24,32,20)-+
c(40,40,20)t(32,32,20)-s(40,24,20)-
t(32,56,12)s(24,32,28)s(40,40,20)-+
t(32,32,28)s(40,16,12)-s(48,24,20)+
s(48,32,20)t(32,48,20)-t(48,40,12)-
c(40,40,20)s(16,32,20)-c(24,40,20)-
s(40,32,20)t(32,32,20)-s(32,24,20)+
s(48,40,20)c(32,48,12)-t(40,24,20)-
c(24,24,12)c(24,40,20)+c(16,24,12)-
c(24,32,20)t(24,24,20)-s(40,40,20)-
s(32,40,28)t(24,40,20)c(24,48,12)+-
s(16,40,20)s(32,40,28)s(8,40,12)+*
c(32,24,20)c(40,32,12)c(24,40,20)+*
s(24,16,20)s(40,32,12)+t(32,24,20)*
s(32,40,20)s(40,24,28)c(40,24,12)--
c(32,24,20)s(24,48,20)s(40,24,28)+*
s(24,32,28)s(24,24,12)-c(32,32,12)-
c(32,40,20)t(32,40,20)c(48,40,12)--
s(40,24,28)s(48,16,20)s(40,32,28)*-
c(24,40,20)s(40,40,28)t(24,40,20)-+
s(40,40,28)c(24,16,12)s(24,40,28)+*
s(24,48,20)s(16,32,20)-s(16,40,20)-
s(40,40,20)t(32,24,20)-s(32,32,28)*
s(40,32,12)c(24,32,20)s(32,16,20)*+
t(32,32,28)s(16,32,12)-t(32,32,12)-
t(40,48,20)s(32,32,28)s(32,24,28)*-
t(32,48,28)c(32,24,20)t(24,32,28)*-
s(24,16,20)s(40,32,20)+t(32,32,20)*
c(40,32,20)c(32,32,28)s(40,16,12)-*
t(32,32,28)c(40,32,20)s(32,32,28)**
t(32,32,20)s(48,48,20)-s(8,40,12)+
t(16,40,12)s(40,40,28)+s(32,16,20)+
t(24,40,28)t(32,24,20)-t(32,24,12)+
c(24,24,20)c(24,32,20)s(24,16,20)*-
s(24,16,20)t(48,40,12)+s(24,32,28)*
s(32,32,28)c(16,32,12)s(32,48,20)+*
c(32,32,20)s(24,40,20)t(32,48,28)**
s(16,24,20)s(48,48,20)s(24,48,20)++
c(32,24,20)s(24,32,28)c(40,32,20)**
s(48,16,20)s(40,40,28)c(32,40,12)--
s(24,32,28)s(48,32,20)-c(32,32,20)*
s(24,16,20)s(32,24,20)t(32,32,28)*-
t(24,40,20)s(8,40,12)+s(32,40,12)-
c(40,40,20)t(48,56,12)-t(24,40,28)*
t(24,32,20)c(24,24,20)s(16,8,12)-*
t(48,48,12)t(24,48,28)c(40,40,20)-+
s(16,40,12)t(32,32,28)s(32,24,28)*+
c(24,32,20)c(40,32,20)*t(24,40,28)*
c(16,24,12)s(32,24,12)+t(24,40,20)-
c(24,32,20)t(24,24,12)-t(32,40,20)*
s(48,32,20)s(48,24,20)c(32,32,28)**
s(24,32,28)s(32,40,28)*s(32,48,20)*
s(24,32,28)s(40,24,28)t(32,56,12)+-
c(24,24,20)t(48,56,12)s(24,40,20)+*
s(24,24,12)c(32,40,20)+c(32,32,20)*
s(16,40,20)c(24,24,20)s(24,32,28)**
c(32,32,20)s(32,24,12)-c(48,40,12)-
c(32,32,28)c(32,16,12)-t(24,40,28)-
s(40,32,28)s(32,24,28)*c(40,16,12)-
c(48,40,12)s(32,24,20)+s(48,16,12)-
t(32,24,20)s(40,16,20)s(40,24,20)*+
t(40,24,20)s(16,32,20)s(16,32,12)--
t(32,32,28)s(40,32,28)s(24,40,20)-*
c(40,32,20)t(32,48,20)+t(24,24,20)-
c(32,32,20)t(40,40,20)-c(24,48,12)-
c(24,24,20)s(24,32,12)-t(40,16,12)-
s(32,40,28)s(24,24,12)-c(24,24,20)-
s(24,24,20)s(32,32,12)-s(24,16,20)*
c(40,24,20)c(40,40,20)s(16,48,12)++
s(8,48,12)t(32,48,28)s(24,32,20)-+
t(16,24,12)s(32,40,20)t(24,32,28)*+
c(40,32,12)s(24,40,28)c(32,32,20)*+
s(32,24,28)t(24,40,28)*t(16,24,12)-
c(24,24,12)s(40,16,20)s(40,32,28)*+
c(48,40,12)s(40,40,20)t(32,32,28)*+
t(32,32,28)s(40,32,20)s(32,40,28)**
s(48,16,20)t(32,40,28)-s(48,40,20)-
s(32,40,28)t(16,48,12)-t(40,40,12)-
c(32,40,20)s(24,40,28)*c(40,40,20)*
t(24,40,28)t(32,56,12)s(32,16,20)+-
c(24,24,20)s(32,8,12)+s(48,40,20)-
c(32,24,20)t(32,32,20)s(40,32,20)*-
c(32,24,20)s(16,24,12)-s(24,16,20)*
s(48,24,20)c(40,40,20)c(24,24,12)--
c(32,32,20)s(16,40,20)s(32,24,12)++
t(24,48,28)s(40,32,20)-c(32,48,12)-
s(40,48,20)c(16,16,12)s(32,24,12)++
s(32,32,20)s(40,40,28)s(40,24,20)**
c(32,40,20)s(24,16,20)-c(40,48,12)-
t(32,32,28)s(24,40,28)s(16,24,20)-*
c(16,24,12)t(24,40,28)+t(40,48,20)-
c(24,48,12)c(24,40,20)t(32,40,20)-+
s(40,40,28)s(48,32,20)s(48,48,12)-*
c(40,24,20)c(24,16,12)s(48,48,20)+-
s(32,24,28)c(40,32,12)-c(40,24,20)*
s(32,16,20)s(32,48,20)s(48,8,12)++
c(48,24,12)t(40,48,20)s(32,48,20)*+
s(32,48,20)t(40,48,12)-s(32,32,12)-
t(32,32,28)c(16,48,12)-s(40,24,20)*
s(48,40,20)c(40,32,20)*s(48,48,20)*
t(32,32,28)s(32,24,28)s(48,16,20)*-
c(40,32,12)t(32,40,20)+s(32,24,12)+
c(40,40,12)s(8,24,12)+t(16,16,12)-
s(24,32,28)s(40,48,20)t(24,32,28)-+
s(24,24,20)c(40,24,20)s(24,24,28)*-
s(32,40,20)c(24,40,12)-s(40,16,12)+
c(24,24,20)c(16,16,12)c(40,24,20)+*
s(32,32,20)t(24,40,20)s(24,16,20)+*
t(32,40,28)s(24,8,12)+c(32,32,28)*
s(24,40,20)s(40,40,12)s(16,24,12)+-
c(24,24,20)t(32,16,12)-s(24,16,20)-
s(48,32,20)s(32,48,20)+c(24,40,20)-
c(32,48,12)c(40,32,20)+t(32,48,20)*
s(24,24,20)t(24,48,28)s(32,40,20)*-
t(32,40,28)s(40,32,20)-t(48,40,12)+
s(32,48,20)c(32,32,28)*t(16,48,12)-
t(32,40,28)t(24,48,28)*s(32,32,28)*
t(24,40,28)s(32,40,12)-c(32,40,20)*
t(24,40,28)c(24,24,20)*t(48,48,12)+
s(24,40,20)s(48,32,12)s(16,32,12)+-
t(40,32,12)s(24,24,20)s(32,24,20)*+
c(24,24,20)t(24,40,28)t(32,32,28)**
s(16,24,20)s(40,32,20)s(24,32,20)*-
s(32,16,20)s(40,16,20)*t(32,24,20)+
t(40,24,20)c(32,48,12)+t(32,48,12)-
c(24,24,20)t(48,16,12)+s(40,32,20)-
s(24,32,12)t(24,56,12)+s(32,8,12)+
t(40,56,12)s(40,24,20)+c(32,32,12)-
s(32,24,28)s(24,32,28)s(8,48,12)-*
s(40,16,12)s(24,40,28)c(32,32,20)*+
t(32,48,28)c(40,32,20)s(40,24,12)-*
t(40,40,20)c(24,40,12)+c(16,48,12)-
c(40,40,20)s(32,32,28)*t(24,40,28)*
c(24,32,20)s(40,40,28)-s(48,16,12)+
s(24,40,28)t(32,32,20)*c(24,40,12)+
s(32,40,28)s(24,32,20)t(24,48,28)*-
s(24,40,28)s(24,48,20)-s(40,16,12)+
t(32,32,28)t(24,56,12)+s(40,48,20)-
s(24,24,28)s(40,16,20)t(48,16,12)--
s(16,48,20)s(24,40,28)c(24,32,20)**
t(24,32,28)s(32,40,28)s(40,40,12)-*
s(24,16,20)s(32,24,20)s(40,32,28)*-
s(40,40,28)c(40,32,20)c(40,24,20)**
s(24,40,20)s(40,24,12)+s(16,32,20)*
t(24,32,28)s(40,40,28)s(32,24,20)*-
s(32,40,28)s(48,48,12)-s(32,24,28)*
s(32,16,20)c(32,24,20)*s(24,16,20)*
t(32,24,20)s(16,48,12)+s(40,24,20)-
c(24,24,20)s(40,24,20)-s(32,24,20)-
t(24,24,20)t(16,24,12)t(16,56,12)+-
c(24,32,20)s(24,16,20)-c(32,32,12)-
t(16,40,12)t(24,40,20)s(32,40,20)*+
s(32,40,20)s(48,40,20)t(40,48,12)--
t(40,32,20)s(24,32,12)-c(24,32,12)-
s(16,16,20)t(16,24,12)s(16,16,12)+-
t(40,48,20)t(32,48,28)s(40,48,20)**
s(24,32,28)s(40,32,20)-s(16,32,20)*
s(24,32,28)s(40,16,12)-s(40,16,20)-
s(48,40,20)s(24,32,12)t(32,40,12)+-
c(40,40,20)c(24,32,20)*t(32,40,20)*
c(24,24,20)t(32,40,20)-s(24,16,20)*
s(32,24,28)c(32,40,20)*s(32,24,20)*
t(40,40,20)t(32,40,20)c(32,32,12)+*
s(40,32,20)s(32,24,28)*t(48,16,12)-
s(24,40,20)c(32,40,20)t(24,32,28)**
s(32,40,28)t(24,40,28)*c(24,16,12)+
s(40,16,20)t(24,16,12)-s(32,32,28)+
s(24,32,28)s(48,16,20)-c(40,32,20)-
t(32,48,28)s(24,48,20)s(32,24,28)-*
s(24,24,20)s(24,40,12)-t(16,24,12)-
c(32,32,20)s(24,32,20)*s(32,48,12)-
s(8,32,12)s(24,24,20)s(24,32,20)*+
s(24,32,28)s(32,48,20)*s(48,40,12)-
s(48,40,20)c(40,24,20)s(24,32,12)-*
s(16,32,20)c(32,40,20)s(24,40,28)*-
c(16,24,12)c(40,32,12)+t(16,24,12)-
c(32,32,20)c(24,48,12)-t(32,24,20)-
s(48,16,20)c(32,40,20)-s(32,16,20)+
s(40,32,20)t(24,48,20)+t(32,40,28)*
s(40,40,28)s(24,16,20)c(40,32,20)+*
s(8,48,12)c(48,32,12)+t(32,32,20)-
c(24,24,20)c(16,16,12)-c(40,16,12)+
t(40,40,12)t(32,32,20)s(48,16,20)-+
s(16,40,12)c(40,24,20)t(32,40,28)*+
s(48,24,20)s(32,24,28)s(48,40,12)-*
t(24,40,28)c(40,32,20)c(48,32,12)-*
t(24,40,28)c(32,24,20)t(32,48,20)+*
s(48,40,20)s(32,32,28)s(40,48,20)*-
s(32,32,20)s(24,40,28)t(24,32,28)**
c(24,40,12)c(24,40,20)c(40,40,20)*+
c(32,24,12)t(16,48,12)+c(32,40,20)*
c(24,32,20)c(40,48,12)-s(48,32,20)+
c(32,24,20)s(24,40,28)c(16,40,12)-*
s(48,48,12)s(16,32,20)+c(32,32,20)*
s(32,24,28)s(32,40,28)s(40,24,20)-*
c(40,24,20)s(40,32,12)-c(32,24,20)*
s(24,24,20)c(24,32,20)+s(32,32,20)*
c(32,32,20)s(40,40,12)-s(48,24,20)-
s(32,32,20)t(24,32,12)-t(40,48,20)-
c(32,32,20)t(40,16,12)-t(40,24,20)-
t(32,32,20)t(32,32,28)t(24,32,28)**
t(40,32,20)s(40,32,28)t(32,32,28)**
s(40,24,28)s(32,40,28)*s(32,24,12)+
s(24,32,20)c(32,32,20)*s(16,48,12)-
s(40,24,28)s(24,16,20)*s(16,24,12)-
s(16,40,12)s(32,32,20)s(40,40,28)++
c(24,24,20)s(24,24,12)-s(40,24,12)-
s(32,24,20)s(40,32,28)s(32,40,12)-*
c(40,40,20)c(32,40,20)s(32,48,20)**
c(40,40,20)c(48,40,12)-s(32,32,20)*
c(32,32,28)s(24,32,28)-s(40,32,28)*
s(48,40,20)c(40,24,12)+s(32,24,12)-
s(24,48,20)c(16,40,12)-s(32,32,20)-
s(24,40,28)c(32,32,20)t(32,48,12)-*
s(40,24,28)c(32,32,28)*t(24,40,28)*
s(32,40,28)t(24,32,28)*s(24,24,20)*
t(40,24,20)c(48,40,12)-s(8,48,12)+
s(40,40,28)s(32,24,28)*s(48,32,20)*
s(24,24,28)c(24,32,20)s(24,24,20)*-
t(24,32,28)s(24,40,20)s(24,16,20)-*
c(24,24,20)s(40,40,28)*s(32,24,20)*
s(40,24,28)s(32,32,20)*s(32,16,12)-
s(40,40,20)c(40,24,12)+t(48,24,12)-
c(32,32,20)s(32,32,28)t(40,24,12)-*
c(24,16,12)t(24,48,20)+c(16,40,12)-
s(40,24,28)s(40,40,28)s(32,32,28)**
c(24,24,20)s(32,32,28)*t(32,40,12)-
c(16,24,12)t(16,48,12)+t(16,24,12)-
s(48,40,20)t(40,40,20)c(32,32,20)*-
c(24,40,20)s(32,32,28)s(40,32,28)**
s(32,16,20)c(40,32,20)+c(16,48,12)+
t(24,40,28)c(24,40,20)c(32,40,12)-+
s(24,40,20)s(24,32,20)c(40,24,12)-*
t(24,48,28)c(32,32,28)s(24,40,12)-*
s(16,48,12)s(32,40,20)s(24,24,28)*+
s(32,24,28)s(48,16,12)-c(16,32,12)-
t(24,48,28)t(40,40,20)t(40,24,20)-+
s(24,16,20)s(16,24,20)s(40,24,20)--
s(32,40,28)c(40,32,20)*s(40,32,20)*
c(40,40,20)s(40,16,20)c(32,32,12)+*
c(32,32,28)s(24,48,20)t(24,48,28)**
c(32,48,12)s(40,32,12)c(48,24,12)++
s(8,48,12)t(24,40,28)s(16,48,20)*+
s(48,32,20)s(48,24,20)*s(48,40,20)*
t(16,32,12)s(32,32,12)t(40,40,12)++
t(32,48,28)s(24,40,28)c(40,40,20)**
s(24,32,20)c(24,24,20)*s(40,24,28)*
t(48,32,12)c(24,48,12)+t(24,48,28)*
s(48,40,20)s(40,32,12)-c(40,32,12)-
s(48,16,20)s(24,16,20)t(24,24,12)--
c(40,32,20)s(40,16,20)s(16,16,20)--
s(24,24,28)s(40,24,20)*s(24,16,12)+
s(40,40,20)c(32,32,20)*s(48,16,20)-
c(24,32,20)t(24,40,28)*s(32,24,12)-
s(32,32,20)c(40,32,12)-s(16,48,12)-
c(24,24,20)s(32,8,12)-c(40,24,20)+
s(24,40,28)t(32,48,28)-t(40,48,12)+
t(32,32,28)c(32,24,20)*t(24,48,20)+
t(32,32,20)s(24,32,20)+s(24,16,20)*
t(24,40,20)t(24,24,20)+s(32,32,20)-
c(16,48,12)s(24,24,12)c(16,32,12)++
c(24,24,20)t(24,40,28)s(40,24,28)*-
s(24,24,20)s(16,32,20)s(24,24,20)*-
s(16,16,20)t(24,40,28)c(40,40,12)--
s(48,48,20)s(48,40,12)-t(32,56,12)-
s(24,48,20)c(32,40,20)*t(24,56,12)+
s(48,40,12)t(32,32,28)s(32,24,28)*+
c(24,40,20)t(32,40,28)*t(40,32,20)+
c(40,24,20)c(48,16,12)-c(32,40,20)*
t(32,40,20)s(16,24,20)-s(24,40,12)+
c(32,32,20)c(48,16,12)s(40,40,20)+*
c(40,32,20)c(32,24,20)*s(24,24,28)*
c(16,40,12)c(40,40,20)c(32,32,12)-+
s(24,32,28)t(16,24,12)-c(32,40,20)*
s(16,40,12)t(32,48,28)+c(32,24,20)-
s(24,24,28)t(24,32,28)*t(32,32,20)-
c(40,40,20)c(32,32,20)*c(40,16,12)-
t(24,40,28)t(32,48,20)*c(32,48,12)+
c(40,24,20)t(48,24,12)s(32,48,20)+*
t(40,56,12)s(32,48,12)c(24,16,12)++
s(48,16,20)c(48,24,12)-c(32,32,20)-
c(32,32,28)t(32,48,28)-s(40,32,28)*
c(40,24,20)s(32,40,20)s(16,40,12)--
c(32,32,28)s(24,48,12)-t(40,48,20)*
c(32,24,20)s(48,32,12)+t(24,32,28)*
s(16,40,20)s(32,32,28)s(24,8,12)+*
s(24,24,20)s(16,16,12)s(32,40,12)+-
c(40,40,20)s(24,40,20)t(24,32,28)*-
s(24,32,28)c(32,40,20)*t(16,32,12)-
t(32,40,28)c(16,40,12)-t(32,40,20)*
c(32,24,20)t(40,48,20)s(48,48,20)*+
c(24,24,12)s(48,24,20)+c(48,24,12)-
s(48,48,20)s(40,24,28)s(48,16,20)--
c(24,40,20)c(48,40,12)s(24,40,20)+*
s(32,32,28)s(48,16,12)-s(40,48,20)-
s(24,48,20)s(16,16,12)+t(32,32,28)-
c(40,32,12)s(40,40,28)s(32,32,12)-+
s(32,32,28)s(16,8,12)s(16,48,20)+-
t(32,48,20)s(8,8,12)+s(24,40,20)+
s(40,24,28)c(24,16,12)-c(48,16,12)-
s(48,40,20)s(40,32,28)*c(32,32,20)*
s(16,32,12)s(40,48,20)+t(32,40,20)-
t(32,40,28)s(40,32,20)c(40,24,20)*-
t(40,24,20)c(24,32,20)t(32,40,20)*-
c(24,24,20)s(24,32,20)*s(32,32,20)*
c(24,24,20)c(40,32,12)-c(24,40,20)-
t(32,32,28)s(32,40,20)c(40,32,20)*-
s(24,40,28)s(32,32,20)c(40,24,20)+*
s(24,32,28)t(40,32,12)-s(32,48,12)-
s(24,48,20)t(24,40,20)c(16,24,12)+*
s(24,32,28)s(40,24,28)-c(24,48,12)-
s(40,40,28)s(48,48,20)-s(24,40,28)*
c(24,32,12)s(48,48,20)+t(24,48,28)-
c(32,24,12)c(24,40,20)t(24,32,28)*+
s(40,40,20)t(40,24,12)s(32,48,20)+*
t(32,32,28)s(40,32,20)*t(24,48,28)-
s(32,40,28)s(32,24,20)*c(40,32,12)+
s(40,24,20)c(48,24,12)-s(24,8,12)-
t(24,32,12)s(40,40,20)+s(40,48,20)+
s(24,40,28)t(40,48,20)t(32,40,28)*-
s(32,32,20)t(32,24,12)s(48,48,20)+-
c(32,40,20)c(40,32,20)c(40,24,20)*-
s(48,16,20)s(24,16,20)t(16,16,12)--
s(24,32,28)t(40,48,20)t(24,48,20)+-
s(32,24,28)t(24,48,28)-t(24,40,12)+
t(32,40,28)t(40,48,20)*c(48,40,12)+
t(24,32,28)t(40,40,12)-s(16,40,20)*
s(24,32,28)t(32,32,20)-s(32,40,20)-
c(32,32,20)s(16,32,12)-c(48,24,12)-
t(24,48,28)s(24,48,12)-s(32,40,28)*
s(40,24,28)c(32,24,20)*s(32,48,20)-
t(24,32,28)c(24,40,20)*t(32,32,28)+
t(40,40,20)t(24,32,20)s(16,32,20)*+
s(32,48,12)s(32,24,28)s(24,32,20)*+
s(32,32,28)c(40,32,12)-t(24,40,28)*
s(40,24,28)s(24,40,20)c(48,32,12)+-
s(32,24,20)c(24,32,12)t(40,16,12)+*
s(32,24,20)c(24,32,20)s(16,48,20)-*
t(32,24,20)c(32,32,28)t(32,48,28)*-
s(32,40,20)s(24,24,28)*s(48,8,12)+
s(24,24,20)t(48,16,12)c(32,24,12)+-
c(16,32,12)c(40,40,20)+s(24,48,20)*
s(24,48,12)c(32,40,12)s(48,32,12)++
c(24,40,20)s(32,40,28)*t(24,32,28)*
s(16,40,20)t(16,40,12)-t(24,48,12)-
s(40,32,28)c(40,24,20)c(32,32,20)*-
s(24,16,20)s(32,24,20)t(32,32,28)*-
s(32,48,20)s(24,24,20)-c(32,32,28)*
s(24,32,12)s(40,48,12)+t(24,48,12)+
s(32,40,28)s(24,16,20)-c(32,48,12)-
t(24,40,20)s(40,48,20)s(48,40,20)*-
s(40,32,28)s(32,40,28)c(40,24,12)-*
s(24,40,28)c(24,32,20)-c(48,16,12)+
c(40,16,12)c(48,24,12)+s(32,24,28)*
s(24,40,20)s(24,32,28)c(24,40,20)**
t(32,48,28)s(40,24,20)t(32,16,12)--
t(24,40,28)s(24,24,12)-t(32,40,20)*
s(32,24,28)c(24,32,20)*c(24,40,20)*
s(16,24,20)s(24,32,28)*s(24,32,12)-
s(32,40,28)c(32,32,20)-s(32,32,28)+
s(40,32,20)c(32,40,12)s(24,16,20)+-
s(32,24,20)t(24,32,28)s(8,24,12)+*
s(32,32,28)t(32,40,12)-t(24,32,20)-
c(48,32,12)s(24,32,20)s(32,24,28)*+
t(40,56,12)s(48,32,20)s(32,16,20)-+
c(40,32,20)s(40,40,28)s(48,40,20)-*
s(40,40,28)s(48,48,20)t(40,48,20)+*
s(16,40,20)t(24,56,12)+s(24,40,20)*
s(16,24,20)c(32,24,20)s(40,8,12)-*
s(32,32,28)s(40,24,28)c(32,32,12)-*
s(24,24,28)c(32,40,12)-s(48,24,20)-
s(40,32,28)s(40,24,20)s(32,40,28)*-
s(40,24,28)t(32,24,20)-c(48,40,12)-
s(40,16,12)s(16,32,12)+s(8,24,12)-
s(48,40,20)s(32,24,20)+c(24,40,20)*
s(32,40,28)s(32,32,28)s(16,32,20)*-
c(24,40,20)s(48,24,12)+s(40,24,12)-
c(16,24,12)t(32,32,28)t(32,40,28)*+
s(24,24,12)c(24,40,12)+s(16,40,20)+
s(40,40,28)t(40,24,12)c(40,32,12)+-
s(24,32,28)s(24,24,28)s(32,48,20)--
s(16,40,20)s(16,48,20)s(24,48,20)**
s(32,24,28)s(48,16,20)+c(40,40,20)*
t(32,48,20)t(32,32,20)+c(32,24,20)*
c(24,40,20)s(40,40,20)-s(40,8,12)+
s(40,40,28)s(48,32,20)-s(24,32,20)-
t(32,48,28)t(24,48,12)-s(40,24,20)-
s(32,24,28)s(40,32,20)*t(32,40,28)*
c(32,24,20)s(16,32,20)-s(24,40,28)-
s(48,40,20)t(48,48,12)-s(16,40,12)+
c(40,24,20)c(24,32,20)+s(16,40,20)+
c(24,24,20)s(32,40,28)s(16,48,20)*-
s(32,32,28)s(40,24,28)s(48,8,12)-*
s(24,24,20)s(32,32,28)+t(32,24,20)-
s(32,32,28)s(40,32,28)c(40,24,20)**
s(48,24,20)s(48,8,12)-t(32,40,28)-
s(32,32,20)s(32,24,20)t(24,32,28)**
s(40,32,28)s(16,24,20)-t(40,24,20)*
s(32,24,28)t(24,40,28)c(32,40,20)**
s(8,32,12)s(32,16,20)+s(32,40,28)*
s(24,32,28)s(40,16,12)-t(24,32,12)-
s(16,16,20)t(48,40,12)+c(24,40,20)-
t(24,32,28)c(40,40,12)s(24,24,20)+*
s(40,32,28)s(16,16,12)t(24,40,28)+-
c(32,32,28)t(32,48,28)*c(48,48,12)-
c(16,48,12)t(40,24,20)+s(32,24,28)*
t(40,24,20)t(24,40,28)s(32,48,12)--
c(32,32,20)s(32,48,20)s(24,40,28)*-
c(24,32,20)s(24,48,20)t(24,40,20)*-
s(48,40,20)c(24,32,20)s(32,40,12)--
s(24,32,20)c(24,24,20)c(40,16,12)-*
t(48,16,12)s(48,8,12)+t(40,40,20)+
t(24,40,28)s(32,40,20)*t(32,24,20)-
s(48,40,20)t(48,48,12)s(16,8,12)++
s(16,16,20)s(40,48,20)t(48,32,12)++
s(24,32,20)c(32,32,20)*s(32,48,12)-
s(32,32,20)c(40,40,20)c(32,40,12)--
s(32,16,12)s(24,40,28)t(32,40,12)-+
s(32,40,20)s(24,32,28)s(40,32,20)**
c(32,24,12)s(8,48,12)+s(24,24,28)*
c(32,24,20)s(24,40,12)-s(32,16,12)-
s(32,24,28)s(32,48,20)-t(32,24,20)*
c(32,40,20)t(24,40,28)c(32,24,20)*-
s(40,24,20)c(40,32,20)s(48,32,20)**
s(24,32,20)c(24,16,12)s(32,24,20)+*
s(24,40,20)s(32,24,28)s(40,40,20)*-
s(48,32,20)s(32,48,20)s(40,40,20)+*
s(24,40,28)c(40,40,12)-t(32,24,12)-
s(40,40,28)s(40,24,20)*s(40,40,12)-
t(32,16,12)s(32,24,28)t(32,40,28)*+
t(32,40,20)s(40,40,20)s(24,48,12)-+
t(32,48,20)s(24,24,28)s(32,16,20)+-
s(32,32,20)t(32,32,28)c(40,16,12)-*
s(32,16,20)s(40,24,28)s(48,32,20)*-
s(24,40,28)c(40,24,20)s(40,32,20)**
s(16,24,20)s(24,24,20)*c(40,40,20)+
s(40,40,28)s(16,24,12)+c(24,32,20)+
s(24,40,28)s(24,16,20)s(8,48,12)+*
c(48,32,12)t(32,48,12)+t(32,24,20)-
s(32,32,28)c(32,24,20)*c(40,16,12)-
s(16,32,20)t(24,48,20)+c(32,40,20)*
s(16,32,20)s(8,48,12)+c(24,24,12)+
t(32,40,28)s(16,32,20)c(24,32,20)*-
s(8,32,12)c(32,32,20)+s(32,32,12)-
c(32,24,20)c(40,24,20)s(40,16,20)**
s(16,32,12)s(24,48,20)+t(32,48,20)-
s(40,32,20)c(40,32,20)c(32,48,12)-*
c(40,40,20)t(24,40,20)+s(24,40,28)*
s(24,24,28)c(24,24,12)t(32,48,28)+-
t(32,32,28)c(32,24,20)*t(32,48,20)+
c(24,32,20)c(48,32,12)+c(24,32,12)-
c(16,32,12)c(32,32,20)+t(24,32,28)*
c(40,32,20)c(32,32,20)*c(40,40,20)*
c(32,24,20)c(24,40,20)s(32,24,28)*-
t(24,40,28)t(40,24,20)-s(24,32,12)+
t(32,32,20)c(32,48,12)c(32,32,12)+*
c(32,24,20)t(32,24,12)-s(32,8,12)-
s(40,32,20)s(24,32,20)t(24,40,20)+*
s(16,24,20)c(16,32,12)-c(32,40,20)-
t(32,32,20)s(16,16,20)-c(32,24,20)*
s(16,32,20)s(32,24,20)+t(40,24,12)-
t(32,40,28)s(24,48,20)*t(24,56,12)-
c(32,32,20)c(32,32,12)-t(32,40,28)-
c(32,32,28)s(40,40,12)t(48,24,12)+-
t(24,40,20)s(16,32,12)-t(40,16,12)+
s(32,32,28)t(32,32,20)-c(24,32,20)-
s(16,24,20)t(24,48,20)t(24,24,20)+*
s(32,48,20)s(40,16,20)+s(16,40,20)-
s(40,16,20)s(32,40,20)t(24,48,12)--
s(24,48,20)c(32,40,20)*c(40,48,12)+
c(24,32,20)s(32,40,28)s(16,48,20)*+
s(32,40,28)s(48,24,12)-t(24,32,12)-
s(48,48,20)c(32,48,12)s(40,40,12)+-
c(32,48,12)c(40,32,20)+c(24,48,12)-
c(40,32,20)t(32,24,20)-s(40,48,12)-
s(24,24,20)s(24,32,20)+t(32,48,20)-
c(24,32,20)s(24,48,20)*c(32,24,12)+
s(48,48,20)s(16,16,20)+s(24,16,20)*
t(32,24,20)s(24,40,12)s(32,32,12)++
s(40,32,28)s(32,24,20)s(48,40,20)--
t(32,56,12)c(16,16,12)+s(24,16,12)-
s(40,40,28)s(32,48,20)-s(32,24,12)-
s(40,32,28)t(32,16,12)-c(24,40,20)*
s(24,16,20)s(16,24,20)-s(40,24,12)+
s(32,24,28)s(16,16,12)-s(48,16,20)*
c(32,32,28)c(24,32,20)s(48,48,20)+*
s(40,32,28)s(32,24,28)t(32,32,20)-*
s(48,32,20)s(40,32,20)*t(32,40,20)+
s(32,48,20)s(24,40,20)t(48,48,12)++
c(32,32,28)s(48,24,20)-c(32,24,12)-
s(32,24,20)s(32,32,20)t(16,32,12)+*
c(24,32,20)s(40,32,28)t(32,40,28)**
c(32,32,20)s(48,48,20)-t(40,24,20)*
c(32,32,20)c(48,24,12)-s(32,24,20)*
c(40,24,20)t(32,24,20)s(24,8,12)--
s(32,48,20)s(40,24,20)-c(32,32,28)*
s(48,24,12)s(16,40,20)+c(24,24,20)*
s(40,32,28)s(32,32,28)*t(40,32,12)-
s(24,40,28)t(24,32,12)-t(32,48,28)*
t(40,32,20)t(16,56,12)+s(32,40,12)-
c(32,32,28)s(16,40,20)-c(40,24,12)-
t(24,40,12)c(24,16,12)s(48,48,12)++
s(24,24,28)s(48,48,12)+c(40,40,12)-
t(24,40,28)c(24,32,20)s(32,24,12)-*
s(48,8,12)s(40,40,28)+s(24,24,20)+
s(48,40,20)c(40,40,20)c(32,32,20)**
s(48,24,20)c(40,32,20)*t(24,24,12)+
s(16,40,20)t(32,32,20)+s(24,24,28)*
t(24,40,20)s(16,48,20)s(32,24,28)+*
s(16,40,20)s(24,32,28)t(32,24,20)-*
c(24,32,20)s(32,40,20)c(24,40,20)**
s(24,40,20)s(16,32,20)*s(32,40,28)*
s(24,40,28)s(24,48,20)-s(16,40,20)-
t(24,40,28)s(8,24,12)s(32,48,20)+-
s(24,32,28)t(24,48,28)-s(24,16,20)*
s(48,48,20)c(16,48,12)+s(48,24,20)-
s(48,32,20)s(40,8,12)c(40,40,20)+*
s(16,40,20)t(32,40,20)-c(24,32,12)-
c(40,32,20)s(32,32,28)t(24,32,20)-*
s(32,24,28)c(16,40,12)-s(24,32,20)*
t(40,56,12)s(24,32,28)+c(40,24,12)-
s(40,32,20)c(24,40,20)s(16,40,20)*-
c(40,32,20)s(32,16,20)+t(24,40,28)*
s(24,40,12)s(40,16,20)+s(24,32,28)-
c(40,32,20)s(48,32,12)-s(24,40,20)*
s(16,48,20)s(40,24,28)c(32,24,20)*-
c(40,32,20)t(24,32,12)-s(32,32,28)*
t(24,24,20)s(24,24,20)s(40,24,12)-*
s(48,24,20)s(32,48,12)+t(32,40,12)-
s(24,32,28)t(32,24,20)-s(48,40,20)-
c(24,24,20)s(40,16,12)-t(24,40,20)-
s(48,32,20)t(48,16,12)-c(32,32,28)*
c(16,48,12)t(24,32,12)+c(32,32,28)*
s(32,32,28)s(24,8,12)s(40,24,12)+-
c(24,40,20)s(40,32,28)c(40,40,20)**
c(40,16,12)t(24,32,12)+s(32,16,20)*
s(24,32,28)c(32,40,20)*t(32,40,12)-
c(40,40,20)s(32,40,28)*s(24,40,12)-
s(24,48,12)c(48,24,12)+t(40,16,12)-
s(40,32,28)s(40,48,20)c(24,24,20)-*
s(24,40,28)c(24,32,20)*s(24,40,20)+
t(32,32,28)s(16,16,20)c(32,24,12)+-
s(32,32,20)c(16,48,12)t(24,40,12)+-
c(40,24,20)c(32,16,12)-c(40,48,12)-
s(24,40,20)s(16,24,12)-s(16,40,20)*
s(32,40,28)s(48,32,20)*t(48,48,12)-
c(24,24,20)c(40,40,12)-t(24,32,28)*
s(40,40,20)c(32,40,20)s(40,40,28)**
c(24,40,20)c(32,24,12)+s(24,32,28)*
t(24,32,20)s(16,48,20)+s(16,24,12)-
c(32,32,20)s(40,24,20)s(24,24,20)++
s(24,16,20)s(16,24,20)*s(24,32,28)*
s(16,16,12)c(32,40,20)c(40,32,20)*+
s(8,40,12)c(24,24,20)c(32,40,20)*+
t(32,16,12)s(24,48,20)+t(24,40,28)*
s(24,24,28)s(24,48,20)+s(32,40,20)*
s(16,48,20)c(24,24,20)-t(24,48,28)*
c(24,40,20)c(40,32,12)c(32,32,12)+*
s(24,24,12)t(32,32,12)+c(16,24,12)+
s(32,24,28)c(32,32,20)c(24,16,12)-*
s(24,48,20)t(32,48,28)s(32,40,12)-*
s(40,24,20)t(32,40,12)c(40,16,12)+-
c(40,32,20)t(48,40,12)-t(40,32,20)+
t(32,32,28)t(24,24,12)-t(32,32,20)*
s(32,32,28)s(40,40,28)*t(24,48,28)*
t(32,32,28)c(40,32,12)-t(24,32,28)*
s(40,24,28)c(32,48,12)+t(48,16,12)-
s(40,24,28)c(24,40,12)-s(24,24,20)-
s(32,16,20)s(24,24,28)t(24,24,12)-*
c(24,48,12)t(40,40,12)+t(32,48,12)-
c(24,32,20)s(32,16,12)-c(32,48,12)-
s(32,32,20)s(40,32,20)*t(48,32,12)-
s(32,32,28)s(32,40,20)-s(16,32,20)-
s(24,24,28)c(24,40,20)s(24,48,20)*-
t(24,48,28)s(16,40,20)c(32,24,20)+*
s(48,32,20)c(32,40,20)s(24,24,12)-*
t(24,48,28)t(40,48,20)s(48,32,12)--
s(32,32,20)s(32,40,20)s(32,48,20)**
c(24,24,20)c(40,32,20)*s(40,40,12)-
c(40,24,20)s(16,24,20)c(32,32,20)+*
c(40,40,20)t(48,48,12)-s(24,40,28)*
c(48,32,12)c(24,24,20)s(40,16,20)++
s(16,40,20)s(24,24,12)-s(16,40,12)-
s(48,32,20)s(32,40,28)*s(40,24,28)*
s(48,16,20)t(24,48,12)s(32,8,12)+-
s(32,40,28)s(48,32,20)s(32,24,28)**
s(40,40,20)s(24,48,12)+t(24,40,28)-
s(40,32,28)c(48,16,12)-c(24,16,12)-
c(48,48,12)s(32,32,20)+t(32,32,28)*
t(24,48,28)s(32,48,20)*s(32,24,28)-
s(48,48,20)t(24,40,28)s(24,40,20)*-
s(40,40,20)s(24,32,20)t(32,32,28)*+
s(40,40,20)c(32,24,20)s(24,32,28)*-
s(24,32,28)t(40,32,20)s(32,32,12)+*
s(40,16,20)c(32,40,20)t(40,40,20)--
c(24,24,20)c(16,16,12)-s(48,32,20)-
c(24,32,20)s(40,40,12)-s(32,32,20)*
s(16,32,12)c(32,32,20)t(32,48,28)*+
s(32,32,20)s(40,24,28)+t(40,48,20)-
s(32,48,12)s(40,32,28)s(24,24,28)-+
c(24,24,20)t(32,32,28)*s(32,40,28)*
c(40,32,20)s(16,32,12)s(40,48,20)+-
s(24,48,12)s(40,32,20)+s(32,48,12)-
s(16,32,20)t(24,40,28)s(24,32,20)+*
s(24,32,20)s(16,48,20)s(16,48,12)--
t(32,40,28)s(32,40,12)-t(32,32,28)*
t(32,40,20)s(24,32,20)c(24,40,12)--
s(24,48,20)t(48,16,12)s(24,24,28)++
t(32,48,20)t(32,40,28)s(24,48,20)*+
s(40,24,20)s(48,24,20)*t(40,24,20)*
s(32,24,28)c(40,32,20)*s(40,48,12)-
s(32,40,20)s(40,32,20)t(24,40,20)-+
s(40,32,20)c(32,32,20)*t(40,24,20)*
s(32,24,20)t(24,40,20)+s(40,16,20)*
s(24,40,20)s(24,16,20)+c(32,48,12)-
s(32,24,28)c(32,40,20)s(32,24,12)--
t(32,24,20)c(32,40,12)+s(40,24,20)*
c(24,32,20)t(40,32,20)-t(24,48,28)+
c(40,40,20)c(24,48,12)-c(24,48,12)+
c(32,40,20)s(32,40,12)-c(32,32,20)*
s(40,40,28)t(32,32,12)-s(32,48,20)*
t(40,32,20)s(24,40,12)-s(48,16,12)-
t(24,40,28)t(24,40,12)-t(40,40,20)+
s(32,24,20)s(16,16,20)c(40,32,20)+*
s(24,40,28)c(24,24,20)*c(24,48,12)-
s(24,48,20)s(16,32,20)c(32,40,12)--
s(40,24,28)c(32,24,20)t(40,40,12)-*
t(40,48,20)t(24,48,20)t(32,40,12)--
t(32,32,20)s(24,40,28)c(32,24,20)**
c(40,32,20)s(32,16,20)-t(24,40,12)-
s(16,40,12)s(32,48,20)+s(24,32,20)-
s(40,40,20)c(48,24,12)-s(24,40,20)*
s(16,32,12)s(8,32,12)+c(24,32,12)+
t(32,40,20)t(48,56,12)+s(40,16,20)+
s(40,40,20)s(32,32,20)c(24,32,20)*-
c(24,24,20)t(24,56,12)c(32,16,12)+-
s(40,32,20)s(16,24,12)t(32,32,28)+*
t(24,48,28)c(40,32,20)+t(32,32,12)-
c(32,32,20)t(40,24,20)*t(32,16,12)+
s(40,40,28)t(48,48,12)-t(24,32,28)*
t(24,40,20)s(32,8,12)+t(24,40,12)-
c(24,40,20)s(32,24,20)-s(32,24,20)+
s(48,16,12)t(32,48,28)+c(40,40,20)*
s(8,8,12)t(40,40,20)+s(16,32,20)+
c(24,24,20)s(40,24,28)*c(32,40,20)*
c(32,40,20)s(40,48,12)-t(24,32,28)*
s(40,24,28)s(40,24,12)-c(24,32,20)*
s(48,8,12)t(32,40,20)+c(40,24,20)*
c(24,48,12)s(16,24,20)+t(32,32,28)*
c(40,40,20)t(32,48,20)-c(40,40,12)-
s(24,32,28)s(40,32,20)s(48,24,20)*-
s(48,16,20)c(32,24,12)-c(32,16,12)-
s(16,48,20)c(48,24,12)s(40,48,12)++
s(48,8,12)s(24,40,12)+s(24,32,12)+
s(32,48,20)s(32,40,12)-s(32,32,20)+
t(32,40,20)s(16,48,20)t(16,40,12)--
s(24,32,28)c(40,24,12)-c(32,24,20)*
c(32,32,20)t(32,32,12)-c(40,32,20)*
c(24,24,20)s(48,32,12)c(24,24,12)+*
s(32,32,28)s(24,16,20)c(24,32,20)-+
s(40,32,20)t(32,32,12)-s(48,48,20)-
s(24,40,28)c(32,40,20)*c(40,32,20)*
s(40,32,28)c(40,24,20)t(24,48,28)--
s(32,24,28)c(40,40,20)-c(40,16,12)+
s(16,24,20)s(24,24,28)c(40,32,12)-*
s(40,32,28)t(48,40,12)-c(32,24,20)*
s(24,24,28)c(24,40,12)-c(40,32,20)*
s(32,40,20)s(40,40,20)*s(40,24,28)*
s(32,24,20)t(24,32,28)s(32,40,28)**
t(32,32,28)s(24,16,12)-t(24,32,20)+
s(32,32,28)s(48,40,12)-t(24,48,20)-
c(24,16,12)s(40,32,20)s(32,48,12)++
s(24,24,20)s(16,8,12)-c(24,40,20)*
s(48,32,12)t(32,24,20)t(40,32,12)-+
t(24,32,20)c(40,32,12)+s(40,24,28)*
c(40,40,20)t(48,48,12)-s(24,48,12)+
s(32,32,20)c(24,32,20)*c(32,40,20)*
s(24,24,28)c(40,24,20)c(32,16,12)-+
s(32,24,28)t(24,32,28)*s(40,16,20)+
c(32,24,20)s(40,24,28)*s(40,24,20)*
c(40,40,20)s(24,40,20)s(8,40,12)+*
s(24,32,20)c(24,40,20)t(40,48,20)+*
s(32,16,20)s(40,24,28)s(32,24,28)**
t(24,40,28)t(16,32,12)-t(32,40,20)*
t(24,24,20)s(40,32,28)+c(40,32,12)-
s(32,40,28)s(24,48,12)-c(24,40,20)*
c(32,40,20)s(24,48,20)s(16,48,12)-*
s(24,24,28)s(32,32,28)*c(40,40,20)*
c(24,32,20)s(24,24,28)s(32,24,28)**
s(32,24,28)s(16,16,12)-c(32,40,20)*
s(24,24,28)t(40,16,12)-c(24,24,20)*
c(32,32,12)s(24,48,20)+s(16,48,20)*
c(32,32,12)t(24,48,20)+c(16,40,12)-
t(32,56,12)c(40,24,20)t(24,40,12)++
s(32,32,28)s(32,16,20)*s(16,16,12)-
s(48,40,20)s(40,32,20)t(32,32,20)*-
s(24,32,20)s(32,24,20)c(32,32,20)**
s(48,16,20)s(8,8,12)c(48,16,12)+*
s(32,32,28)s(40,48,20)-s(24,32,20)*
s(24,16,20)t(32,40,28)+c(24,32,20)*
t(24,40,28)s(48,40,20)-t(32,32,28)*
s(40,16,12)s(16,16,12)t(32,16,12)++
s(24,32,28)s(40,32,20)*s(40,24,20)*
c(24,40,20)c(32,32,28)c(40,32,12)-*
s(40,40,20)s(32,32,28)c(40,32,20)**
s(24,32,28)c(32,32,20)*s(32,48,20)-
s(32,24,28)c(40,24,12)-s(40,32,28)+
s(40,32,28)s(32,24,28)*s(48,32,20)*
t(24,48,20)c(32,40,20)t(32,32,12)-*
t(32,48,28)t(40,48,20)c(32,32,28)*-
t(24,24,20)c(32,24,12)t(16,56,12)++
s(16,24,20)c(24,24,20)*s(40,40,20)-
s(24,40,28)s(16,40,20)t(24,40,12)-*
s(32,32,28)c(16,24,12)s(48,16,12)+-
s(32,32,28)s(32,24,28)*s(16,40,20)+
c(24,24,20)t(32,40,28)+s(16,32,12)-
t(32,32,28)s(32,24,28)s(24,32,28)**
s(40,32,12)t(24,40,28)+s(24,32,28)*
c(32,40,20)s(40,24,28)*s(32,16,20)-
t(24,24,20)s(24,32,20)+s(32,32,20)*
s(40,24,20)s(24,40,12)t(16,24,12)++
c(40,32,20)t(40,48,20)-t(40,24,20)-
s(32,16,20)s(32,32,12)t(24,24,12)+-
t(32,24,12)s(40,48,20)+s(40,40,20)*
s(40,24,28)t(32,32,28)*t(24,32,20)-
t(40,56,12)t(24,48,20)c(40,48,12)-+
c(24,40,20)c(32,32,20)*s(16,24,12)-
t(24,48,28)s(24,40,20)s(24,48,20)*-
s(32,40,28)c(32,40,20)c(48,32,12)--
s(16,24,20)s(32,32,28)s(8,8,12)+*
s(8,8,12)t(40,40,12)c(32,32,12)++
s(40,40,20)s(32,48,12)-c(48,24,12)-
c(32,32,20)s(24,24,28)*s(32,24,20)*
s(16,32,20)s(32,40,12)-t(32,32,20)+
t(32,48,28)s(32,40,28)*s(32,48,12)-
c(32,24,12)c(48,40,12)+s(40,16,12)-
s(32,24,28)s(40,24,28)s(48,16,20)--
s(24,32,28)c(24,32,12)t(16,56,12)+*
c(32,32,28)s(24,40,28)*s(24,40,12)-
c(24,40,20)s(24,32,28)s(32,40,20)*-
c(32,40,20)t(40,48,20)-c(32,24,20)*
s(32,48,20)t(32,40,28)*s(16,40,12)+
s(32,16,20)c(32,24,20)*t(24,24,12)-
s(32,48,12)s(40,24,20)c(48,32,12)-+
t(24,40,28)c(32,32,20)s(32,40,20)--
s(8,48,12)c(32,24,20)s(48,16,20)*+
s(40,16,20)t(40,40,20)+c(32,48,12)-
s(16,32,20)s(8,32,12)-s(32,32,28)*
c(24,24,12)s(48,32,20)s(32,48,20)-+
s(40,40,28)s(32,48,20)-t(48,32,12)-
c(40,32,20)c(24,32,20)+t(40,24,12)-
s(40,32,28)s(40,16,12)-t(48,16,12)+
c(40,40,12)s(48,16,20)+s(32,16,20)*
c(24,32,20)c(40,48,12)-c(32,40,20)*
s(32,32,28)s(24,40,28)+c(16,40,12)-
c(24,40,20)c(24,24,20)*c(32,16,12)-
s(32,8,12)s(40,40,28)c(32,40,20)*+
s(24,24,20)t(24,40,28)+s(40,32,20)-
s(48,48,20)s(24,48,20)-t(32,32,28)-
s(40,24,28)s(32,48,12)s(32,24,28)+*
t(24,32,28)s(16,16,20)c(32,16,12)--
s(24,40,20)s(16,48,20)s(48,32,20)+*
c(40,32,20)s(32,40,28)*c(40,24,20)*
c(40,24,20)s(48,32,20)*c(48,48,12)-
s(40,16,20)t(24,48,12)+s(32,16,20)*
t(40,32,20)c(32,24,20)s(32,8,12)-*
s(48,32,20)t(32,40,12)-t(40,32,20)-
s(24,48,20)c(32,32,12)-s(32,32,20)-
s(24,32,20)t(24,40,28)t(32,48,20)*-
s(16,40,20)s(40,48,20)s(32,24,20)--
t(24,24,20)t(48,40,12)+c(32,40,20)*
s(24,24,28)s(32,24,28)*c(24,40,20)-
c(24,40,20)s(24,24,20)t(24,32,12)--
t(32,32,20)c(40,32,20)t(32,16,12)-*
t(24,48,20)s(40,8,12)+s(24,32,12)-
s(32,32,20)s(40,24,20)s(40,40,28)*+
t(40,40,12)s(24,40,20)+c(16,32,12)+
s(24,32,28)s(32,32,20)-c(32,32,28)*
s(48,16,20)s(24,32,28)s(40,24,28)-+
t(40,40,20)s(16,24,12)+t(16,32,12)-
t(24,48,28)t(48,48,12)+s(16,40,12)-
s(24,40,28)s(40,40,28)*c(24,40,20)*
s(32,16,20)s(32,32,28)t(40,32,12)-*
s(32,24,28)t(48,40,12)c(24,40,12)+-
s(40,24,28)c(32,16,12)s(16,8,12)+*
c(32,32,28)c(16,40,12)-s(24,24,28)-
t(32,40,28)c(40,40,20)c(32,24,12)--
s(32,40,20)s(32,24,28)*c(24,40,20)*
t(24,40,28)t(32,40,28)c(40,40,12)--
c(40,32,20)c(24,32,20)s(32,40,20)**
c(24,32,12)t(32,48,20)+s(24,24,28)*
t(32,40,28)s(40,40,28)t(24,40,28)-+
s(24,32,28)s(32,48,20)s(32,32,20)+-
s(16,24,20)s(32,32,28)+s(40,40,28)*
s(40,40,20)s(24,40,28)*s(24,16,20)-
c(40,32,20)s(48,32,20)*s(40,40,20)*
t(24,40,28)s(40,40,28)t(24,48,20)-+
t(32,48,20)s(24,32,20)t(16,48,12)++
s(48,16,20)s(48,40,20)s(48,24,20)*-
s(32,24,20)s(24,40,28)t(32,24,20)--
s(32,24,28)s(16,8,12)-s(16,32,20)*
s(32,24,28)s(40,32,20)*s(48,16,12)-
s(40,40,28)s(24,24,20)-t(40,48,12)-
c(16,40,12)c(32,32,20)+s(24,16,12)-
t(24,40,28)s(40,48,20)-s(24,32,20)*
t(24,40,20)s(32,16,20)-c(24,24,20)+
c(24,32,20)s(48,32,12)+c(24,40,20)-
s(32,40,28)c(24,40,20)*s(24,24,20)-
t(32,48,20)s(40,24,20)t(48,32,12)--
s(32,32,28)t(16,40,12)-c(32,24,12)-
s(24,16,20)t(32,48,12)+c(32,16,12)-
s(32,40,20)c(40,40,20)s(16,48,20)-*
s(32,24,12)s(32,32,12)+c(40,48,12)+
s(32,24,28)s(16,40,20)+s(40,40,28)*
s(24,24,28)s(8,40,12)c(32,16,12)+*
s(32,32,20)t(32,48,12)+s(40,40,20)-
t(24,32,28)s(24,48,20)-s(16,32,12)-
s(24,16,20)s(24,32,28)*c(40,16,12)-
c(24,32,20)c(32,32,20)*c(32,48,12)-
s(24,40,28)t(32,40,28)*t(24,40,20)-
s(48,32,20)s(32,40,28)*c(40,24,20)*
t(16,32,12)s(32,24,12)+s(32,16,12)+
s(40,32,28)s(24,40,28)-c(32,32,20)-
s(32,32,28)t(24,40,12)-c(48,48,12)-
t(32,40,20)t(40,24,20)-t(40,32,12)+
c(40,32,20)t(24,40,20)t(24,48,12)--
t(32,40,28)t(16,56,12)+s(24,32,20)*
s(32,32,28)s(32,24,28)t(32,32,28)*-
c(24,24,20)c(40,24,20)-c(24,48,12)-
s(32,16,20)s(40,32,20)c(24,24,20)*-
s(32,32,20)s(40,24,28)c(24,24,12)-*
s(40,40,28)t(48,48,12)-s(40,40,20)*
t(32,48,20)c(32,32,20)+c(48,40,12)+
s(40,48,20)s(32,40,20)*s(40,32,28)*
c(32,40,20)s(24,32,28)s(40,24,12)-*
t(24,32,28)s(16,16,12)s(48,16,12)+-
s(32,48,20)t(40,24,12)s(24,16,20)++
s(40,48,12)t(32,56,12)t(40,32,20)++
s(48,48,20)s(48,40,20)s(40,24,20)-*
t(24,32,28)s(32,32,20)*c(32,16,12)+
t(32,48,20)c(40,40,12)+c(32,32,20)+
s(40,48,20)c(32,32,28)c(32,32,12)-*
s(32,24,20)s(40,16,20)s(16,24,12)+*
s(40,48,20)s(32,24,28)s(16,48,20)--
t(32,40,28)s(32,40,20)t(24,40,28)*-
c(24,32,12)s(16,48,20)c(32,32,28)*+
s(16,24,20)s(32,24,28)*c(40,40,20)-
s(24,32,28)c(24,24,20)t(24,48,28)-*
s(40,24,28)c(24,32,20)+s(24,40,20)*
t(32,32,28)s(48,24,12)s(16,48,12)+-
s(24,48,12)c(32,24,20)+t(24,32,20)*
s(16,8,12)s(40,32,28)t(40,48,20)-+
s(40,24,28)s(48,16,20)t(32,40,28)--
s(24,16,20)s(32,40,28)c(40,32,20)*-
t(40,32,20)s(24,40,20)+c(40,24,20)-
s(32,48,20)t(24,40,20)-s(40,40,28)*
t(32,32,20)t(32,32,28)t(40,40,12)-+
s(48,16,20)t(32,24,20)s(24,24,12)+-
s(40,32,28)c(32,24,20)s(24,40,12)--
s(40,24,20)s(32,8,12)-s(48,16,20)*
s(32,48,20)c(24,40,20)t(24,40,20)--
s(32,24,20)s(8,48,12)+c(40,24,12)-
s(40,32,28)c(32,48,12)-c(24,32,20)*
s(48,32,20)s(32,24,28)s(40,40,20)*-
s(24,40,20)t(24,32,28)*c(32,32,20)*
s(48,24,20)c(40,24,20)*s(40,8,12)-
s(32,48,20)s(40,48,20)s(32,40,20)--
t(32,48,28)s(32,40,28)t(24,40,28)**
s(32,24,28)s(40,8,12)t(32,24,12)+*
s(40,24,28)s(32,24,28)s(24,32,28)**
s(16,32,20)s(16,24,20)*t(32,40,20)+
c(40,40,20)c(32,24,20)+t(40,24,12)-
s(32,40,20)t(24,32,20)-s(24,40,28)*
t(32,40,28)s(24,40,20)s(16,40,20)**
c(32,24,20)t(32,32,28)c(24,40,20)*-
c(48,32,12)s(16,40,20)s(16,24,20)*+
s(32,40,28)t(40,48,20)s(32,24,20)--
c(24,40,20)s(40,32,28)c(32,32,20)+-
t(24,24,20)s(48,32,12)+c(32,40,20)*
t(32,48,12)t(32,32,28)+c(24,40,20)*
s(32,24,20)c(32,24,20)c(40,32,20)**
t(24,40,28)s(48,48,20)-s(24,24,12)+
c(32,32,20)c(40,32,20)*s(40,48,20)*
s(24,40,20)s(48,40,20)c(40,40,20)*-
t(32,48,28)s(24,40,28)*s(40,48,20)*
s(24,40,28)c(16,32,12)-t(32,56,12)-
s(40,40,20)c(32,48,12)-c(32,32,20)*
c(32,32,28)t(32,32,20)-c(24,24,12)-
s(32,40,20)s(16,40,20)s(24,40,20)*-
s(48,48,12)c(40,40,12)+c(40,32,20)*
s(32,48,20)t(24,32,20)s(24,24,20)*-
s(40,32,28)s(32,24,28)*c(24,40,20)-
c(24,32,20)s(40,40,28)t(40,24,20)*-
s(32,24,28)c(40,24,12)-t(32,32,28)*
s(16,32,20)c(24,32,20)s(32,40,20)*-
s(24,40,28)c(32,40,20)c(40,24,12)+*
c(40,40,12)c(32,40,20)s(24,32,20)*+
s(40,32,28)s(40,24,20)-c(32,32,20)*
s(40,24,20)t(24,24,20)-s(40,16,20)*
s(32,40,20)s(24,32,28)s(32,48,12)-*
s(24,24,28)c(32,40,20)*c(48,40,12)-
t(32,32,28)c(40,32,20)*t(32,32,12)-
c(24,48,12)t(48,16,12)c(32,24,12)++
t(32,40,28)c(24,24,12)+t(32,32,28)*
s(24,40,20)c(24,32,20)t(32,32,28)**
s(32,32,20)c(40,32,20)s(32,40,20)**
s(24,16,20)s(24,40,20)c(32,24,20)*+
s(40,32,20)s(40,40,12)-t(32,32,28)*
t(24,40,28)s(48,32,20)s(48,48,20)+-
t(32,32,28)c(32,48,12)t(16,24,12)++
s(32,32,20)c(32,40,20)*s(16,32,12)-
s(40,24,28)s(40,24,12)-c(24,32,20)*
c(40,32,20)s(24,24,12)+s(40,16,12)-
s(24,32,28)t(32,32,28)*s(24,24,20)*
t(24,40,28)t(24,40,12)-t(16,32,12)-
s(32,24,28)c(40,24,12)-s(32,16,20)-
c(24,32,20)c(24,16,12)-c(16,24,12)-
s(40,24,28)s(32,16,12)-s(24,24,20)-
t(24,40,28)s(32,32,20)s(48,24,12)-*
c(40,24,20)s(32,24,20)*c(24,40,12)+
t(32,32,28)s(24,40,20)t(24,24,12)-+
s(48,32,20)s(16,16,20)s(24,32,28)*+
c(40,32,20)c(32,16,12)-t(24,48,12)+
s(24,32,20)s(40,40,28)t(32,40,28)**
t(32,48,28)t(24,40,28)+s(32,32,20)*
t(40,32,20)s(32,16,12)-c(24,24,20)+
s(24,24,28)c(32,24,20)*t(24,32,20)*
s(32,24,28)c(40,24,20)*s(24,32,20)*
s(32,24,20)c(32,40,20)s(48,32,20)*-
s(32,40,28)c(32,48,12)c(24,24,12)+*
c(32,32,28)s(16,8,12)c(40,40,20)+*
s(40,48,12)t(32,40,20)+s(40,32,28)*
c(32,24,20)s(16,40,20)-s(48,40,20)-
s(32,40,12)t(32,48,20)+t(24,48,28)*
s(40,48,20)s(48,48,12)-s(32,48,20)*
s(40,32,20)t(48,16,12)-s(40,48,12)-
s(48,48,20)t(32,56,12)-c(32,24,20)-
c(40,40,20)t(32,48,20)s(24,16,20)+*
c(32,40,20)s(40,32,20)*s(48,40,20)+
s(32,40,20)s(24,40,20)t(16,48,12)-*
t(32,32,28)c(40,16,12)s(40,48,20)+-
s(40,24,28)s(32,24,12)-s(32,16,12)-
s(24,40,28)t(32,40,12)t(32,32,20)+*
s(40,32,28)s(24,32,20)s(24,48,12)-*
t(24,32,20)c(24,24,20)s(32,32,20)**
s(40,24,28)c(40,32,20)*c(24,24,20)*
s(32,40,28)c(32,32,28)s(24,40,20)--
s(32,24,20)t(24,32,28)c(40,32,20)+*
s(32,24,28)s(32,40,28)t(32,40,20)-*
s(48,8,12)s(24,32,20)c(32,40,20)*+
s(24,48,20)c(32,40,12)s(8,40,12)++
c(40,24,20)c(32,32,20)s(24,24,12)-+
c(32,32,12)s(8,8,12)+t(40,40,20)-
t(24,24,20)s(16,48,12)+s(16,24,12)-
c(32,24,20)s(8,16,12)+t(32,32,28)+
s(32,40,28)s(48,40,12)-c(40,24,12)+
c(32,24,20)c(24,32,20)*s(40,16,20)-
t(32,32,28)c(32,40,20)s(32,48,20)**
c(40,16,12)c(32,40,20)+s(24,24,20)-
c(32,32,28)s(16,16,12)-s(40,48,12)-
t(32,40,28)c(32,24,20)s(32,32,28)**
s(32,32,20)s(32,24,28)s(24,24,12)-*
c(40,24,20)s(40,16,20)s(48,16,20)**
t(32,40,20)t(24,48,28)c(48,40,12)+*
c(32,32,20)s(32,32,20)s(16,48,12)+*
s(32,24,28)s(32,40,28)*s(16,24,20)-
s(32,32,12)t(32,48,20)+t(24,40,28)*
s(16,16,20)s(8,16,12)s(32,16,12)+*
s(32,32,12)s(32,48,12)s(40,40,12)++
t(40,40,20)s(32,40,20)*s(32,48,12)+
t(40,32,20)s(32,32,28)s(40,24,20)**
t(32,24,20)s(40,16,20)c(32,40,12)+*
s(40,40,28)c(40,32,20)c(32,40,12)-*
s(32,40,28)t(32,32,28)*t(32,24,12)-
s(32,32,28)s(48,24,20)*c(32,32,20)*
s(24,40,28)t(40,48,12)t(24,48,12)+-
s(24,40,20)t(32,48,20)+s(40,24,20)-
s(24,40,20)s(40,24,28)+t(32,40,28)*
s(40,16,12)s(40,32,12)c(16,32,12)++
s(24,24,28)c(24,24,12)-t(40,40,12)-
c(32,24,20)s(32,24,20)c(40,32,12)--
c(24,32,20)s(32,32,28)*c(16,32,12)-
t(32,40,28)c(48,40,12)-s(32,48,20)*
s(32,32,20)s(40,40,20)s(24,32,28)**
c(24,40,20)c(40,32,12)-s(24,32,28)*
s(24,24,28)c(24,32,20)-s(24,40,28)+
c(40,24,20)t(24,32,28)s(40,32,28)**
c(40,24,20)c(24,24,20)+s(40,32,28)-
t(40,40,20)s(24,16,12)+c(24,40,20)-
c(16,48,12)s(24,24,20)+t(24,40,28)*
t(24,32,28)c(32,32,28)s(24,16,20)-*
c(40,40,20)c(40,32,20)t(48,48,12)-*
s(16,48,20)s(32,48,20)c(40,24,20)+*
s(32,32,28)s(24,32,28)*t(32,24,20)*
t(24,48,28)s(40,48,20)-c(24,32,20)+
s(32,24,20)s(24,48,12)+c(40,24,20)*
c(40,32,20)s(40,40,28)*t(24,32,28)*
s(40,32,20)s(24,40,28)*s(24,24,28)*
s(16,32,20)s(8,16,12)-s(24,40,12)-
t(32,40,28)s(8,32,12)t(40,40,20)+*
c(40,40,20)t(40,40,20)-s(24,24,28)-
s(32,24,20)c(40,16,12)-t(16,24,12)-
s(32,16,20)s(32,16,12)-c(32,16,12)-
s(16,16,20)t(32,40,20)s(24,40,20)+-
t(32,32,28)s(40,32,12)-s(32,24,20)*
s(16,32,20)s(24,24,12)t(48,32,12)+-
t(24,48,28)t(32,40,12)-s(32,40,28)*
c(40,40,20)s(40,32,28)*c(40,24,20)-
c(32,40,20)t(48,32,12)-s(16,24,20)-
c(40,40,20)c(24,40,20)*s(24,40,20)*
s(40,24,28)s(40,16,20)t(32,40,20)+*
c(24,24,20)t(24,32,20)c(48,24,12)+*
s(40,32,28)c(48,16,12)-s(32,40,20)*
t(32,32,20)s(48,32,12)-c(48,24,12)+
s(32,32,28)s(32,16,20)-s(16,32,20)-
s(40,40,28)t(32,24,20)-t(48,24,12)-
s(32,48,20)s(32,16,20)+s(40,24,20)*
c(32,32,28)s(32,40,28)-t(32,24,20)+
s(40,24,28)c(32,16,12)-s(40,32,20)-
s(40,24,20)s(40,16,12)s(24,24,12)+*
s(40,48,20)c(32,32,28)*s(16,40,20)-
t(24,32,28)c(48,48,12)+c(32,40,12)-
s(48,24,20)t(40,32,20)+c(32,24,20)*
s(40,16,20)s(48,48,20)t(40,24,20)+*
c(40,24,20)s(16,32,20)-t(40,32,12)-
s(24,40,20)c(16,48,12)-s(40,40,20)+
s(48,16,12)c(32,32,20)t(32,48,28)*+
s(16,40,20)t(24,48,28)*t(24,56,12)+
s(16,16,20)s(24,24,28)s(32,48,20)+*
c(32,32,20)c(16,48,12)+c(40,40,20)*
s(16,16,20)c(40,32,20)s(24,24,28)*-
s(24,32,20)c(24,40,20)s(16,32,20)**
c(32,40,20)s(48,24,20)-s(16,40,20)*
s(32,32,28)s(48,32,20)s(40,48,20)+*
s(24,40,20)s(24,32,28)s(32,48,20)--
t(24,48,20)c(24,48,12)s(16,40,12)+*
c(24,24,20)s(32,32,28)*c(32,40,12)-
c(32,40,20)s(24,32,20)*c(24,24,20)*
t(24,48,28)c(40,32,20)t(16,56,12)++
c(32,24,12)s(8,48,12)+t(40,32,12)+
s(8,8,12)s(40,40,28)+t(32,48,28)*
t(24,40,28)s(32,40,28)*s(40,48,20)-
t(24,48,28)c(24,32,20)-t(32,48,28)*
s(32,24,20)s(24,24,20)*s(16,40,20)-
s(24,40,28)t(32,48,28)s(32,24,12)+-
s(32,32,20)t(32,32,28)s(24,16,20)-*
c(40,40,20)c(16,32,12)+c(40,32,12)-
c(40,32,20)s(16,40,12)s(48,48,20)+-
s(32,40,28)s(16,16,20)-s(32,24,12)+
c(32,32,28)s(48,24,20)c(32,24,20)*-
c(40,40,20)t(32,40,28)s(40,32,28)**
s(48,48,12)t(24,48,12)s(32,48,12)++
s(32,32,28)s(24,32,28)c(24,16,12)-+
s(24,32,20)s(32,40,28)t(24,40,12)-*
s(32,32,28)s(48,40,20)+t(24,32,28)*
s(32,32,20)t(40,40,12)-s(32,16,12)-
c(32,40,20)t(40,40,12)-c(40,32,20)*
t(32,40,28)s(32,48,20)*t(32,48,28)*
s(48,48,20)t(24,40,28)-s(24,24,12)+
s(32,32,20)t(24,40,20)-t(32,32,28)*
t(24,40,28)c(16,32,12)t(32,32,12)+*
t(24,24,20)c(24,32,20)t(16,32,12)-+
c(48,16,12)s(16,40,12)+s(16,24,20)-
t(40,16,12)s(32,40,20)+c(40,24,12)-
s(48,32,20)t(32,40,28)-s(40,24,28)*
s(40,40,20)t(32,40,28)s(32,40,12)--
s(48,48,20)s(32,48,20)*t(32,48,12)+
s(32,40,20)s(40,32,28)t(32,24,20)-*
t(40,40,20)s(40,32,28)s(32,32,12)-*
s(32,40,28)t(48,32,12)-s(24,48,20)*
s(16,32,20)c(24,40,20)*t(32,32,28)*
t(32,40,20)s(32,16,20)+s(32,32,28)*
c(48,48,12)t(48,56,12)t(24,40,20)++
s(48,16,12)s(16,24,20)s(32,24,20)-+
c(32,32,20)c(32,24,12)t(24,16,12)+*
t(16,56,12)t(24,48,20)+s(32,40,28)*
s(16,32,20)t(24,48,28)t(40,40,20)--
t(48,32,12)s(48,48,20)t(40,48,20)-+
s(40,24,28)t(32,48,28)s(32,32,20)*-
s(32,16,20)t(40,32,20)s(48,48,12)--
t(32,32,20)s(40,40,28)t(24,24,20)-+
s(24,40,28)c(40,40,20)*c(32,24,20)*
t(32,40,28)s(24,40,28)t(32,48,12)-*
s(32,32,28)s(40,24,28)s(24,24,28)**
t(24,32,28)c(24,24,20)c(40,32,20)--
s(48,40,20)t(24,40,28)+s(48,24,20)-
s(40,40,28)s(24,32,28)s(40,48,12)-*
s(32,24,20)s(32,40,28)*s(16,48,20)+
s(24,40,20)s(32,40,20)t(32,32,28)*-
c(32,32,20)s(40,48,20)*s(40,48,12)+
c(32,40,20)s(24,24,28)*t(24,40,28)*
s(24,32,20)c(24,40,20)s(40,40,28)--
s(40,24,28)s(24,32,28)s(32,40,20)**
s(48,24,20)c(40,40,20)*c(32,40,12)+
c(24,40,20)s(32,32,28)t(24,32,12)--
s(32,32,20)c(32,24,20)*s(40,16,20)-
t(32,56,12)c(32,24,20)+c(40,32,20)*
s(32,40,28)s(48,24,20)-c(32,40,12)-
s(32,24,28)s(24,16,20)c(40,24,20)--
t(24,32,28)s(32,16,12)+t(24,32,20)-
s(32,16,20)c(24,40,12)+c(24,32,20)*
s(32,40,28)s(32,24,28)*t(40,24,20)-
s(32,48,20)t(32,40,28)+t(32,32,20)-
s(32,32,28)s(40,24,28)+t(24,32,28)*
c(40,40,20)s(24,40,20)*t(40,48,20)+
s(24,40,20)t(24,32,28)*t(24,40,28)*
s(40,32,28)s(32,24,20)s(32,48,20)-*
s(24,16,20)t(40,48,20)c(24,24,20)+*
s(40,40,28)s(24,24,20)c(40,32,20)+-
s(24,48,20)t(32,48,28)s(40,48,20)**
s(8,16,12)s(48,16,20)+s(16,16,12)-
s(40,24,20)s(40,16,20)*t(24,40,20)+
s(40,32,12)c(24,16,12)+c(32,24,12)+
s(40,32,28)c(24,24,20)+t(40,24,20)-
c(40,24,20)c(40,24,12)-c(32,40,20)-
s(32,24,20)s(16,24,20)*s(48,16,12)+
s(32,40,20)c(40,40,20)*c(40,32,20)*
c(32,40,20)s(48,40,20)*t(32,16,12)+
t(32,32,28)s(24,40,28)t(32,48,28)**
c(24,40,20)s(16,8,12)+c(24,24,20)*
s(40,40,28)s(24,16,20)-t(32,32,12)-
t(24,56,12)s(32,24,28)+s(40,40,28)-
s(16,48,20)s(32,40,28)t(32,40,12)-*
s(40,16,20)c(32,24,20)c(40,32,20)*-
c(32,24,20)s(16,32,20)+c(40,40,12)-
t(32,16,12)c(32,32,20)t(24,40,20)*+
t(48,56,12)c(16,24,12)t(24,16,12)++
s(24,16,20)s(24,32,20)s(40,24,28)+*
c(32,40,12)c(32,48,12)+s(16,32,20)-
s(24,32,28)s(16,32,20)-t(32,16,12)-
t(32,24,20)s(32,32,20)t(32,40,28)+*
t(32,16,12)s(24,48,20)+c(24,40,20)*
s(24,24,20)s(16,48,20)-c(24,32,20)*
s(24,16,20)s(24,32,28)*s(24,32,20)*
s(16,40,20)s(16,32,20)*s(24,40,20)*
s(32,48,20)s(40,8,12)+c(32,16,12)-
s(16,16,12)c(40,40,20)c(24,32,20)-+
s(24,40,28)c(32,24,20)+s(48,40,20)*
c(24,32,12)c(24,24,12)+s(32,32,20)*
c(40,40,20)s(40,24,28)-s(32,40,12)+
c(32,40,20)s(40,40,20)t(32,32,12)-*
s(16,16,12)t(40,56,12)s(40,24,28)++
s(24,32,20)s(40,24,28)c(24,32,20)**
c(32,32,28)c(16,40,12)-t(32,40,20)*
t(32,32,28)s(16,32,20)s(8,32,12)-*
c(40,40,20)t(24,32,20)s(40,32,12)--
s(40,32,20)s(48,32,20)c(24,24,20)-*
s(40,40,28)s(16,8,12)+s(40,24,28)*
s(40,48,20)s(40,16,12)t(24,32,28)+-
s(40,32,20)s(32,24,28)*t(40,32,20)*
t(32,32,28)s(24,24,20)*s(32,40,28)*
s(24,48,20)s(16,40,20)*c(24,32,12)+
s(32,48,20)s(48,24,20)s(40,24,20)+-
t(32,40,28)t(24,24,20)t(32,32,28)+*
t(40,40,20)s(40,40,28)t(24,48,20)-*
s(32,16,20)t(40,24,20)t(32,40,28)+*
s(16,16,20)s(32,32,28)+s(48,40,20)-
c(40,32,20)t(40,24,20)t(32,16,12)+*
s(32,8,12)s(32,40,28)s(16,40,20)*+
s(24,40,28)s(32,32,28)*s(48,32,20)-
s(24,32,28)s(24,40,28)c(32,32,28)**
s(48,48,20)t(32,48,12)+s(24,48,12)-
s(32,40,12)c(32,48,12)+c(32,24,12)-
s(24,24,20)s(40,32,28)*t(48,48,12)+
c(16,16,12)c(24,16,12)+s(24,24,20)*
s(32,40,28)c(40,40,20)*t(24,40,20)-
t(24,40,28)s(32,40,12)-s(24,48,12)-
c(32,40,20)s(48,48,20)s(32,24,12)+*
t(32,40,28)c(40,40,20)s(24,40,28)**
c(40,32,20)s(24,48,12)+s(40,24,28)*
s(16,24,20)s(24,24,28)t(24,40,28)-*
t(32,48,28)s(40,40,20)s(32,32,12)--
s(16,32,20)s(16,48,12)-s(24,24,20)*
s(32,16,20)s(40,48,20)s(24,40,28)*+
s(16,24,20)s(40,40,28)t(24,40,28)*-
s(32,32,28)s(48,40,12)-t(16,32,12)-
s(24,40,20)s(40,16,20)t(24,32,12)+-
s(40,24,28)c(32,32,20)t(24,40,20)-*
s(24,40,20)s(16,24,12)-s(16,48,20)*
c(40,40,20)s(48,32,20)*s(24,48,12)+
c(32,32,28)s(24,48,20)*s(8,48,12)-
s(40,24,28)s(24,40,28)s(16,24,12)-*
s(16,40,20)t(32,32,20)-t(32,40,20)+
s(32,24,28)t(40,16,12)-t(16,16,12)-
s(16,24,20)s(32,8,12)s(32,32,28)+*
s(16,48,20)c(40,16,12)+c(40,24,20)*
c(16,40,12)s(40,48,20)+t(40,40,12)-
s(24,24,28)s(40,40,28)s(24,32,28)**
s(8,48,12)t(40,40,12)c(48,16,12)++
c(24,24,20)s(32,48,12)s(16,24,20)+*
s(32,32,28)c(16,24,12)-c(48,40,12)-
c(32,32,28)s(32,32,12)-t(32,24,20)+
s(40,24,28)t(32,32,28)*c(32,16,12)-
c(32,40,20)s(24,48,20)*t(16,40,12)-
s(48,24,20)t(32,40,20)s(32,32,20)*-
s(32,8,12)c(40,40,12)+s(24,48,20)-
s(40,32,28)s(40,24,28)*c(24,40,20)-
t(32,40,28)t(24,48,20)*t(16,56,12)+
s(32,40,28)s(40,24,20)s(40,32,20)**
s(32,16,20)s(32,48,12)+s(48,16,12)-
s(48,32,20)t(32,32,28)t(16,40,12)-*
t(24,32,28)c(32,40,20)*t(32,48,28)*
s(32,32,20)s(24,24,20)t(24,32,28)**
c(32,24,12)c(32,40,12)+s(24,24,28)*
s(40,24,20)t(32,32,28)s(40,40,20)*+
c(40,32,12)s(48,24,12)t(16,32,12)++
s(32,40,28)s(40,32,20)-c(24,40,20)*
s(8,32,12)t(24,48,28)+s(48,48,20)-
s(40,40,28)t(24,32,28)t(32,32,20)**
s(24,24,28)s(16,32,20)-t(32,48,20)-
t(24,32,28)t(48,56,12)+s(40,40,12)-
c(32,32,28)s(48,48,12)-s(32,24,12)-
c(40,24,12)s(16,16,12)+s(32,24,20)*
c(40,24,20)s(24,32,20)s(8,16,12)+*
s(48,40,20)c(40,24,20)c(40,32,20)**
s(48,48,20)t(48,56,12)-s(40,32,12)+
s(40,32,20)s(32,24,20)t(16,32,12)--
t(24,32,28)s(40,48,20)s(40,24,20)+*
c(32,24,20)t(24,32,28)-c(16,40,12)+
c(16,40,12)s(24,16,12)+s(32,8,12)-
s(16,40,20)s(32,48,12)-s(24,40,28)*
s(24,24,28)c(32,24,20)t(40,40,20)-*
s(24,24,20)s(24,16,20)*s(40,40,20)-
s(40,24,20)s(32,48,20)-t(32,16,12)-
s(40,32,28)t(32,40,20)t(16,16,12)+*
s(32,16,20)c(32,32,12)+c(32,32,28)*
s(24,24,20)c(32,24,20)c(40,40,12)-*
s(32,40,28)t(24,32,28)*c(32,24,20)*
s(32,32,28)s(32,40,20)s(32,32,20)*-
s(16,16,20)s(40,24,28)-s(16,40,20)-
s(48,32,20)c(40,32,20)*s(48,48,12)-
t(32,32,28)t(24,24,12)-s(32,48,12)-
s(40,24,20)s(16,40,20)+c(16,32,12)-
s(40,32,28)t(32,48,28)c(24,40,20)*+
s(24,32,28)s(24,16,12)s(16,48,12)+*
t(32,48,20)t(40,32,20)s(24,16,12)+-
t(24,48,20)s(40,24,20)+s(16,48,20)*
s(32,32,20)s(24,24,28)c(16,16,12)-*
s(32,16,20)c(40,24,20)s(24,48,20)-*
t(24,24,20)s(48,24,20)-t(32,40,20)-
c(16,32,12)s(40,40,28)s(32,32,28)*+
s(48,8,12)c(24,24,20)+t(24,24,20)-
s(24,32,28)s(32,40,20)s(16,8,12)+*
s(32,8,12)s(40,40,12)+s(32,24,28)*
s(40,32,28)c(24,40,20)s(40,32,12)--
s(40,48,20)c(32,32,28)t(32,48,28)**
s(40,48,20)t(40,48,20)s(48,32,12)--
s(40,16,20)s(24,32,28)s(48,32,20)-+
t(40,24,20)s(32,24,28)s(24,16,20)-+
s(48,40,20)s(32,24,28)+s(24,40,28)*
s(32,32,20)s(32,24,20)s(16,24,12)-*
s(32,40,28)s(24,32,28)*t(40,40,20)-
s(16,32,20)s(40,24,28)-s(16,48,12)-
s(40,32,28)c(32,24,12)-s(40,40,28)*
s(24,40,28)s(40,48,20)c(24,32,12)--
t(24,48,28)t(24,24,12)t(24,48,20)+-
s(32,24,20)t(32,24,12)-c(40,24,20)*
s(40,32,28)s(48,32,12)-s(24,32,20)-
c(48,40,12)s(8,48,12)t(24,16,12)++
s(24,8,12)t(40,48,20)t(32,32,12)++
t(24,32,20)c(32,16,12)s(24,24,20)+*
c(40,32,20)t(24,32,28)-s(32,24,20)-
t(24,56,12)s(32,32,28)+s(48,32,20)*
s(32,40,12)s(16,16,20)+t(32,32,12)-
c(24,40,20)c(32,48,12)c(24,32,20)+*
s(24,40,28)c(40,32,20)*t(24,40,28)*
s(24,40,28)c(40,32,20)*t(32,48,28)+
s(24,40,28)t(24,32,28)*c(16,16,12)-
c(40,24,20)s(40,24,12)-c(40,40,20)*
c(24,16,12)s(40,32,28)+t(24,24,20)-
s(16,32,20)s(40,32,20)c(24,32,20)+*
c(32,24,20)c(32,40,20)*s(48,16,20)+
c(32,48,12)s(48,16,20)s(48,24,12)-+
c(40,40,20)s(16,48,20)+s(48,32,20)*
s(40,48,20)s(48,40,20)c(40,32,20)*-
s(40,40,20)t(40,32,20)s(24,24,28)+*
s(40,40,20)c(32,24,20)s(48,16,20)*-
c(48,16,12)t(24,24,20)+t(24,32,28)*
t(40,24,20)s(32,40,20)t(40,48,12)-+
c(32,40,20)s(40,24,12)-t(40,40,20)*
s(32,40,28)s(8,48,12)c(40,24,20)+*
s(24,32,20)s(24,24,20)*c(40,40,12)-
s(32,40,20)s(40,40,20)c(32,32,12)-+
t(24,48,20)s(40,40,12)+s(40,32,28)*
t(40,48,20)s(16,48,20)t(32,16,12)+-
s(40,32,28)t(32,48,12)s(40,32,12)+*
t(16,16,12)s(16,40,20)s(24,32,20)*+
s(24,40,28)s(32,40,20)-s(48,32,20)+
s(24,24,20)c(32,40,20)t(32,40,28)*-
c(40,40,20)c(32,24,12)-t(16,24,12)+
t(32,48,20)t(32,48,28)c(40,40,20)**
c(32,24,20)c(16,40,12)-s(32,16,12)-
s(32,48,12)s(40,48,12)+s(32,8,12)+
c(32,32,28)c(32,24,12)-c(40,32,20)*
s(32,24,28)s(48,24,20)*s(24,40,20)-
s(16,48,20)s(40,24,28)-c(32,32,12)+
s(48,40,20)s(40,48,20)t(24,48,20)-*
s(24,40,20)s(32,24,28)*t(32,24,12)+
t(32,24,20)t(24,48,28)+t(32,32,20)*
s(40,32,20)t(16,16,12)+s(48,40,20)-
s(24,24,12)t(24,32,20)+t(32,16,12)-
s(40,40,20)c(40,40,12)-t(32,56,12)+
s(32,32,20)c(24,16,12)+t(32,32,20)-
s(40,24,20)s(40,40,28)*c(40,40,20)*
t(48,40,12)t(24,48,28)+c(40,32,20)*
c(40,40,20)s(40,32,12)c(24,48,12)+*
c(24,24,20)c(32,32,20)t(32,40,28)*-
t(24,24,12)t(40,40,20)+c(32,40,20)*
s(16,16,20)s(40,40,28)-s(16,24,12)-
c(24,32,20)t(24,32,28)*s(24,48,20)*
s(24,16,20)t(24,40,28)-s(32,16,12)-
c(40,32,20)s(24,32,28)*s(32,24,28)*
t(24,40,28)t(24,40,12)-t(32,40,28)*
c(32,32,28)s(40,32,28)t(24,48,28)*-
c(32,32,20)c(24,16,12)t(40,24,20)+-
t(24,48,28)t(32,48,20)c(16,40,12)++
s(32,24,28)s(24,32,28)t(48,16,12)+-
s(16,32,20)s(24,16,20)-c(40,32,20)-
s(24,32,20)s(32,24,20)*t(48,24,12)+
s(48,24,20)s(32,24,28)s(48,32,12)--
t(32,32,20)t(32,32,28)s(40,48,12)-*
c(24,40,20)s(24,48,20)s(32,40,28)*-
s(32,40,20)t(24,40,28)s(8,48,12)-*
t(32,48,28)c(48,40,12)+c(32,32,28)+
t(40,40,20)t(32,32,28)c(32,40,20)*+
s(16,16,20)s(40,40,28)-c(32,32,20)-
c(24,40,20)s(16,48,12)-t(32,56,12)-
c(16,32,12)s(48,16,20)+t(24,32,28)*
s(48,40,20)s(32,40,28)*c(32,32,20)*
c(32,24,20)c(32,16,12)-t(40,24,12)+
s(24,40,28)t(16,48,12)-t(24,32,20)-
c(24,40,20)s(24,24,20)-s(40,40,12)-
s(40,16,20)c(24,24,20)s(48,8,12)+*
s(24,48,12)s(32,16,20)t(32,32,12)++
c(24,32,20)s(40,32,12)-s(40,40,28)-
c(24,32,20)c(32,24,20)s(40,24,20)*-
t(32,32,28)s(40,40,20)*t(40,40,20)*
s(16,32,20)s(48,16,20)t(24,16,12)+-
s(32,48,20)c(40,32,12)c(40,24,12)+-
s(24,48,20)c(24,40,20)t(24,48,28)**
c(24,24,20)s(16,24,20)*t(32,40,28)+
s(32,48,20)s(32,40,20)c(24,24,20)*-
c(32,40,12)s(24,16,12)+c(24,24,20)*
t(24,48,28)t(40,16,12)+s(32,24,28)*
c(24,40,12)t(16,48,12)+s(32,16,20)+
s(16,32,20)s(16,32,12)c(24,48,12)+-
t(24,48,12)t(40,56,12)+t(48,48,12)+
t(32,32,28)s(40,32,28)s(48,32,20)-*
c(40,24,20)s(32,40,28)s(24,24,28)**
t(32,32,28)s(24,24,28)c(16,32,12)-*
s(32,32,20)s(32,40,12)-s(48,24,20)+
t(40,16,12)s(40,32,20)s(32,32,12)-+
s(40,40,28)c(40,24,20)c(24,24,12)--
s(40,24,20)t(24,32,20)-c(24,16,12)-
s(40,40,28)t(40,24,20)-s(32,40,20)*
s(32,24,20)s(40,32,12)-t(32,32,12)-
s(24,32,20)t(32,32,28)*t(32,32,20)*
s(24,32,20)s(40,40,28)*s(48,48,20)+
s(32,32,28)c(24,40,20)*t(32,32,20)-
s(24,40,20)s(32,24,28)+t(40,40,20)*
s(32,32,28)s(16,16,20)t(24,32,12)+*
c(32,24,20)s(40,16,20)+t(32,40,20)-
t(32,40,28)t(32,48,12)-s(40,32,28)*
t(24,48,28)t(24,40,28)*s(40,32,12)+
s(24,24,28)c(24,32,12)-c(24,16,12)-
s(32,40,20)s(32,32,12)c(16,48,12)+*
c(32,40,20)c(32,24,20)s(24,40,28)**
c(24,40,20)s(32,32,28)s(16,24,20)-*
s(32,32,20)s(32,24,28)s(40,24,28)**
s(32,40,20)c(40,24,12)-s(32,32,20)*
s(48,32,20)c(32,32,20)c(24,16,12)-*
s(40,24,20)c(32,32,20)s(24,32,28)**
c(40,40,12)t(32,32,20)+t(24,40,28)*
t(24,40,20)s(32,24,28)+s(32,40,28)*
s(24,16,20)s(32,40,20)-c(24,24,12)+
s(32,40,28)c(24,40,20)*t(32,48,20)-
s(32,40,28)s(24,48,20)c(40,16,12)+*
c(40,40,20)c(24,40,20)t(32,16,12)+*
c(32,24,12)s(40,40,28)c(32,24,20)*+
s(16,16,20)c(32,24,20)s(16,16,20)-+
c(40,24,20)s(24,32,20)t(16,40,12)-*
s(48,32,20)s(32,40,28)s(48,48,20)*-
s(16,40,20)t(24,40,28)*s(24,32,12)-
c(24,32,20)s(24,40,28)+s(8,40,12)-
s(16,16,12)s(40,40,28)+s(32,48,20)-
s(24,32,28)c(24,32,12)-s(40,24,12)-
s(32,32,20)c(32,40,20)*s(40,48,20)-
s(24,16,12)c(40,16,12)s(24,48,12)++
s(16,24,20)s(32,32,28)s(8,32,12)+*
c(32,32,20)t(32,48,28)c(48,16,12)+*
t(32,40,28)s(24,48,12)s(24,16,20)+*
c(48,16,12)t(24,48,28)+c(40,48,12)-
s(32,40,28)s(24,16,20)-s(48,40,20)*
c(48,40,12)s(24,40,28)+t(24,32,28)*
s(40,32,28)c(32,32,20)*t(24,56,12)+
c(24,24,20)s(48,40,20)+s(48,32,20)*
s(40,24,20)c(40,40,20)*s(40,16,20)+
c(48,48,12)t(24,40,12)+s(24,40,20)-
t(32,32,28)s(24,40,20)-c(40,48,12)-
s(32,40,20)s(40,32,28)s(32,40,12)--
s(8,40,12)t(40,24,20)s(40,40,28)*+
s(40,40,20)s(24,48,12)-s(40,32,20)*
c(24,32,20)s(24,24,12)t(40,32,20)+-
t(16,24,12)c(40,24,12)+s(8,24,12)-
s(24,32,28)s(32,24,28)s(40,40,20)+*
s(32,48,20)t(32,32,20)c(16,40,12)-+
s(32,48,20)s(32,32,28)*c(32,32,12)+
s(40,8,12)c(24,40,20)+s(16,48,12)-
t(24,48,28)t(32,40,28)-s(48,24,20)+
s(32,24,28)c(32,32,20)-s(16,40,20)+
s(24,24,28)t(32,16,12)-s(16,24,20)*
t(32,32,20)s(16,32,20)s(16,48,20)--
c(32,40,20)t(48,16,12)t(40,32,20)+-
t(32,40,20)s(40,40,20)t(32,40,28)**
t(24,32,28)s(16,32,20)s(16,40,20)**
s(48,40,12)t(32,48,12)+t(24,48,12)-
s(40,40,28)c(32,24,20)c(16,32,12)-*
t(32,40,28)s(32,24,20)-s(32,40,20)*
s(24,32,28)c(24,48,12)-c(32,24,12)-
t(24,24,20)c(24,40,20)+t(32,24,20)-
t(32,32,28)t(24,40,28)s(24,24,28)**
s(32,24,28)s(24,8,12)-c(40,24,20)*
s(8,16,12)c(24,40,20)s(40,48,20)-+
s(40,40,20)s(40,32,20)s(16,16,20)+*
s(24,32,20)s(40,40,28)*s(24,16,20)+
s(24,40,20)s(32,40,20)*t(48,40,12)+
t(24,24,20)c(40,40,20)t(40,24,12)--
s(40,48,20)s(24,40,28)*t(16,56,12)+
t(24,32,20)s(32,32,28)s(48,40,20)*-
s(40,24,20)s(24,24,12)-t(24,24,20)-
c(32,32,28)s(48,32,20)*s(32,24,28)*
s(32,32,28)c(24,24,12)-s(32,24,28)*
s(24,32,28)s(48,16,20)-t(32,48,28)*
s(32,32,20)s(40,24,20)s(48,8,12)+*
s(16,40,20)s(8,8,12)+t(32,24,20)-
s(48,24,12)s(32,24,20)s(24,24,12)-+
s(16,32,20)s(24,24,20)*c(32,40,20)+
c(40,40,20)s(16,48,20)-c(32,24,12)-
t(32,48,28)s(24,48,20)s(32,40,20)--
t(24,32,28)s(32,24,20)*c(32,32,20)*
c(40,32,20)c(48,40,12)t(24,40,20)+*
s(16,24,20)s(16,16,20)c(16,24,12)--
s(32,24,28)s(40,40,20)-s(32,16,12)-
s(40,32,12)s(48,8,12)+c(24,32,12)-
c(40,24,20)c(40,32,20)+s(24,40,20)*
c(32,40,20)s(32,40,28)t(40,32,20)*-
s(40,24,28)c(24,16,12)c(40,32,12)+*
c(24,40,20)c(32,32,20)*t(32,40,20)*
t(32,48,20)t(24,32,20)+t(40,40,20)-
s(48,40,20)s(40,48,12)-t(32,24,12)+
s(40,40,28)c(32,32,28)t(40,24,20)-*
t(40,32,20)s(40,40,20)s(32,32,12)-+
s(24,40,28)s(32,32,28)*s(16,24,12)+
c(24,32,20)c(40,24,12)+s(48,32,20)-
s(40,24,28)s(48,40,20)*s(16,48,12)+
s(24,16,20)c(32,24,12)+s(24,40,20)-
s(24,24,28)s(32,32,20)c(40,24,12)-*
s(40,32,20)c(32,32,20)c(48,24,12)-*
c(24,40,12)t(24,32,20)+c(16,24,12)-
t(40,48,20)s(48,40,12)s(16,32,12)+-
c(32,24,20)c(40,24,20)+t(24,32,20)*
c(40,32,20)s(24,32,20)c(24,24,20)**
c(32,24,20)c(16,32,12)-s(48,32,20)*
c(24,32,20)c(40,40,12)-t(16,40,12)-
t(32,40,28)s(40,32,12)s(48,48,12)+*
t(48,40,12)s(48,32,20)t(40,32,20)*+
s(24,24,28)s(24,40,20)s(16,24,20)+-
s(32,40,20)s(24,24,28)t(24,48,28)--
s(40,24,28)s(48,48,20)-s(24,40,28)*
c(40,24,20)s(48,40,20)s(40,32,20)*-
s(24,32,28)s(24,32,20)c(40,32,20)*-
s(32,16,20)s(40,24,20)*s(32,32,28)*
c(40,24,20)s(16,40,12)+s(48,40,12)-
t(48,48,12)s(16,16,20)+s(24,16,20)-
s(32,40,20)s(40,8,12)t(24,32,12)+-
s(24,40,28)s(40,40,28)*t(40,56,12)-
s(40,24,28)t(24,32,28)*s(48,48,20)+
s(32,40,28)s(24,32,20)*t(24,40,20)*
s(24,32,28)c(32,40,20)t(24,48,12)--
s(48,40,20)c(40,32,20)*s(40,40,20)*
s(24,24,28)t(32,40,28)t(32,32,28)**
s(24,32,20)s(32,16,12)-t(24,48,28)*
c(40,24,20)c(32,32,20)c(24,40,20)*-
s(48,48,20)c(40,40,20)t(24,32,28)+*
s(32,32,28)s(24,40,28)*s(32,32,20)*
s(32,48,20)t(24,32,28)c(40,40,20)*-
c(32,40,20)c(48,24,12)+c(24,32,20)-
c(40,32,20)c(32,32,28)s(40,24,28)**
s(40,24,20)s(40,16,20)*t(32,32,28)+
s(24,32,28)s(16,48,20)*s(24,48,20)*
s(24,32,20)t(24,32,28)*s(40,32,12)-
s(32,32,28)s(32,40,28)*s(24,24,28)-
s(16,8,12)s(32,40,20)s(32,24,28)*+
s(24,16,20)s(8,32,12)+s(24,32,28)*
s(32,32,28)c(40,32,20)*t(40,32,12)-
c(32,16,12)s(32,40,20)+s(40,24,20)*
s(40,40,20)s(40,16,20)-t(24,40,20)-
t(32,40,28)t(24,32,28)s(40,32,20)*-
t(24,32,28)s(40,24,28)*s(32,24,20)*
s(24,24,28)s(32,24,28)*s(24,40,12)-
s(24,32,28)t(16,32,12)-t(32,48,28)*
s(16,16,20)c(48,16,12)c(32,24,12)++
s(32,40,20)s(24,16,20)s(32,32,28)*-
t(24,40,28)c(32,40,20)t(32,40,28)**
s(24,32,20)s(24,40,12)-t(32,32,28)*
c(40,16,12)t(16,56,12)+s(32,24,20)+
s(16,40,12)c(40,24,12)+t(40,32,12)-
c(24,32,20)s(16,40,20)*t(24,32,28)*
s(24,40,28)s(40,40,28)*s(40,32,20)*
s(32,32,20)c(40,24,20)c(24,24,20)**
s(48,24,20)c(24,40,20)c(32,32,20)*-
s(24,40,20)c(32,40,20)c(40,40,12)-*
s(32,24,28)s(48,16,20)t(32,48,28)+-
s(40,32,28)s(40,24,20)s(40,40,12)-*
s(32,32,20)c(32,48,12)-c(24,24,12)+
s(32,40,12)c(48,24,12)+c(40,40,20)*
c(32,32,20)c(16,48,12)-s(40,24,12)-
s(32,40,28)s(24,32,12)-c(32,24,12)-
s(32,32,20)s(24,16,20)+s(24,16,12)-
s(24,32,20)s(16,40,12)-s(40,32,28)*
s(32,32,28)s(40,24,28)*t(16,24,12)+
t(32,40,28)c(32,24,20)*t(24,40,12)-
s(16,24,20)s(32,24,28)+t(32,40,28)*
s(24,32,28)c(24,24,20)*c(24,24,12)-
s(16,48,20)s(24,40,20)t(40,48,20)-*
t(32,48,28)s(40,32,28)*t(32,32,28)*
s(24,24,28)s(32,32,20)t(24,40,20)+*
s(48,48,20)t(48,40,12)-s(40,40,28)*
s(24,32,28)s(32,40,20)*s(32,16,20)-
s(32,32,20)t(24,32,12)t(48,32,12)++
s(24,32,20)s(48,40,20)-t(32,16,12)-
s(48,16,12)s(24,32,28)s(32,16,20)*+
c(32,32,20)s(24,32,28)+s(32,24,28)-
c(32,24,20)s(32,48,12)s(48,40,12)+-
s(40,32,28)c(24,32,12)-s(32,16,20)+
s(24,32,20)c(24,48,12)t(32,56,12)+-
c(48,40,12)c(32,32,20)+c(32,24,20)*
s(40,48,20)s(32,24,28)s(40,32,28)*-
s(40,24,20)s(40,24,28)c(24,32,20)*-
c(32,32,28)c(48,48,12)c(24,48,12)+-
s(40,40,20)t(40,40,20)t(32,24,20)++
s(32,32,28)s(40,24,28)*s(40,32,12)-
s(32,24,28)t(40,56,12)+c(32,32,20)*
s(24,40,28)s(24,32,28)s(40,24,20)*-
c(32,24,20)s(24,24,12)s(32,8,12)+*
s(24,40,28)s(16,48,20)-t(32,40,20)-
s(24,32,28)c(48,32,12)c(24,24,12)+*
s(40,24,28)c(32,24,20)s(24,32,20)*-
t(32,32,28)s(40,40,28)+c(40,32,12)-
t(32,24,20)s(48,32,12)+t(40,40,20)-
s(24,32,20)c(16,24,12)c(40,40,12)+*
c(40,24,20)s(24,32,20)s(32,24,28)**
s(40,32,28)c(24,40,20)+s(32,32,28)-
s(32,32,20)s(24,40,12)c(32,24,12)+*
t(32,32,20)s(32,40,28)s(32,48,12)-*
s(24,32,28)s(32,16,20)c(16,16,12)--
c(40,24,20)s(48,32,20)*s(32,16,12)+
s(48,16,20)t(32,16,12)-c(40,24,20)*
c(24,32,20)c(32,24,20)s(32,40,28)**
s(24,32,28)s(40,24,20)s(40,32,20)**
s(32,32,28)c(40,16,12)c(24,40,20)++
c(32,32,20)c(24,32,20)t(40,48,20)+*
t(16,48,12)s(24,24,20)+c(24,24,12)-
s(32,40,28)s(40,32,20)*c(16,16,12)+
s(24,24,28)s(40,32,20)-s(32,32,20)-
s(48,40,20)t(40,40,20)-s(48,16,20)+
t(24,40,28)s(16,32,20)s(40,40,20)+*
s(48,16,12)s(32,40,12)+t(40,24,12)+
s(24,40,12)s(48,24,20)s(32,24,20)-+
c(32,24,20)s(32,16,12)t(40,40,20)+*
s(8,32,12)t(40,40,20)t(32,40,28)*+
s(16,48,20)s(16,40,20)t(24,48,20)--
t(32,40,28)t(32,24,12)-t(48,40,12)+
t(32,24,20)s(40,24,20)s(48,24,20)*+
t(24,32,28)s(24,16,12)-c(32,32,20)*
s(32,32,28)c(24,32,20)+s(24,40,20)*
s(24,40,20)s(48,40,12)s(24,24,28)+*
s(24,48,20)s(24,24,12)c(24,32,12)+-
c(40,40,20)t(32,48,28)s(24,48,12)-*
s(40,32,20)s(24,40,28)s(32,24,12)--
t(32,32,28)c(40,24,12)-s(16,48,20)-
c(40,32,20)s(32,24,28)*s(24,32,20)*
s(24,48,20)c(32,32,20)s(24,32,28)**
t(40,32,20)c(40,16,12)+t(24,40,20)-
s(40,40,28)t(32,24,20)-s(24,40,20)-
c(32,32,28)c(40,40,20)s(24,24,20)--
s(48,24,20)s(48,16,12)c(16,24,12)+-
s(16,16,20)s(24,32,28)s(48,48,20)+*
c(32,32,28)s(32,48,20)*s(48,32,20)-
c(40,40,20)s(24,24,28)s(40,24,28)-+
s(48,48,20)t(24,48,28)s(24,40,20)*+
s(48,48,20)c(16,48,12)+s(40,40,12)-
c(32,40,20)c(24,40,20)*t(40,40,20)+
t(32,24,20)c(32,24,12)t(48,32,12)+*
s(24,40,28)s(40,48,20)-s(24,24,20)*
t(24,40,28)s(16,24,12)-s(32,16,20)-
s(48,40,20)s(24,48,20)-s(32,32,20)-
s(32,24,20)c(16,16,12)+c(40,24,12)-
s(24,24,20)c(40,24,12)-s(16,8,12)-
t(40,48,20)t(48,56,12)+t(32,48,12)-
s(32,16,20)c(24,24,12)s(40,8,12)+*
s(24,32,20)s(32,40,28)*c(32,40,12)-
t(24,24,20)t(16,56,12)+s(16,24,20)*
s(24,24,12)s(32,48,20)+t(24,32,28)*
t(32,40,28)s(32,32,28)s(32,24,12)-*
s(16,16,20)c(40,24,20)+s(40,32,28)*
c(32,32,28)s(48,24,20)-s(24,48,12)-
s(40,24,12)s(16,48,20)t(24,48,20)*+
s(24,24,20)t(24,48,28)-t(32,48,28)+
s(32,48,20)s(40,24,20)-s(40,32,20)-
t(32,48,28)s(24,32,28)*s(24,40,20)*
c(32,24,20)t(40,32,20)s(40,24,20)*-
s(16,24,20)t(48,48,12)+s(48,48,20)-
c(32,40,20)s(32,16,12)t(32,32,20)+*
s(24,40,20)s(24,32,20)t(24,40,28)**
c(24,24,20)s(16,32,20)*s(24,40,28)*
s(8,48,12)t(16,48,12)+t(32,32,28)+
t(24,32,28)s(32,40,28)c(24,32,20)**
s(40,40,20)t(24,40,28)-t(48,48,12)+
s(16,32,20)s(32,48,20)+c(16,40,12)-
t(24,32,12)s(16,48,20)+t(16,32,12)-
t(32,48,28)s(16,24,20)c(40,24,20)-+
s(32,8,12)t(32,40,12)+c(40,32,12)-
t(32,32,28)t(40,48,20)-s(16,32,20)*
s(16,32,20)s(24,24,28)t(32,40,20)+*
s(40,32,20)c(24,24,12)-t(40,48,20)-
s(32,40,20)s(32,24,28)t(32,32,28)+*
c(24,24,20)s(8,48,12)+s(24,40,20)*
s(24,24,20)s(16,24,20)*c(40,32,20)-
s(24,48,20)s(40,40,28)s(48,40,20)--
s(40,40,20)s(32,32,28)s(40,40,28)**
s(24,40,12)s(40,16,20)+c(24,40,12)-
c(24,32,20)t(24,24,12)-s(24,32,20)*
s(48,48,12)s(32,32,20)s(24,40,28)++
s(16,24,20)c(32,32,20)c(24,24,20)*-
c(48,40,12)s(48,24,20)+t(32,48,28)-
s(24,32,20)c(32,24,20)c(48,24,12)-*
s(32,32,20)s(16,24,12)+s(32,24,20)*
s(16,16,20)t(16,56,12)c(16,16,12)+*
t(24,32,28)c(40,32,20)c(32,32,20)*-
s(40,32,28)t(40,32,12)-s(48,24,20)-
s(24,40,20)s(32,48,20)s(24,48,20)**
s(32,32,28)c(40,24,20)*t(32,24,20)*
s(48,32,20)s(40,16,12)-s(32,40,28)*
s(40,24,28)c(24,32,12)-c(40,16,12)-
t(32,32,28)t(24,32,12)-s(32,32,20)*
t(32,40,20)s(40,48,12)+c(24,40,20)*
t(24,32,20)c(16,48,12)s(40,32,28)+*
c(32,24,20)s(40,40,12)-t(32,32,28)*
t(24,16,12)s(40,24,20)+c(32,32,20)*
t(24,40,28)s(16,40,20)*t(24,32,28)*
c(32,40,20)t(40,32,20)s(32,32,20)+*
c(24,24,20)s(16,32,12)-s(24,16,12)-
s(32,32,28)t(48,24,12)-t(32,32,12)-
c(24,24,20)s(40,32,28)*c(40,48,12)+
s(24,40,28)c(24,24,20)c(40,32,20)**
s(24,40,20)s(24,48,20)*t(24,40,20)*
s(40,32,20)s(48,24,20)s(48,16,20)*+
s(8,16,12)t(48,32,12)+s(32,40,28)+
s(40,24,28)s(48,32,20)*s(32,32,28)*
c(32,24,20)s(24,24,28)*s(8,48,12)+
c(32,40,20)s(48,48,12)-s(32,48,20)-
s(48,16,20)s(48,40,20)s(40,32,28)*-
c(24,40,20)t(24,40,12)-s(48,48,20)-
s(32,40,20)s(40,24,28)s(32,24,28)**
t(32,48,28)t(32,32,12)-c(40,32,20)+
s(24,32,28)c(16,48,12)-t(40,32,20)-
s(40,24,28)c(24,32,20)t(24,32,28)**
s(8,40,12)s(48,48,20)+c(40,32,20)*
t(32,40,28)s(40,32,12)-t(40,40,12)-
s(16,32,20)s(24,40,28)s(40,24,28)-*
s(32,24,28)c(24,40,20)-s(40,24,20)*
c(24,32,20)t(40,32,20)t(32,48,20)--
s(48,24,20)s(16,48,20)t(48,24,12)++
c(40,24,20)s(32,32,20)s(48,16,20)-*
c(24,40,20)s(16,40,20)*s(16,32,12)-
s(32,24,20)c(24,32,20)*t(24,32,28)*
s(32,48,20)s(32,32,28)s(48,32,20)*-
s(24,24,28)c(40,24,12)-c(48,16,12)+
s(48,40,20)c(40,40,20)*s(32,40,20)*
c(32,32,28)s(16,48,20)*s(24,8,12)+
s(16,32,20)s(24,24,28)c(32,32,20)--
c(24,40,12)c(48,40,12)+s(40,40,28)*
s(8,48,12)s(40,24,28)+s(48,16,20)-
s(24,16,20)c(48,24,12)+c(40,32,20)-
c(24,40,20)t(32,48,28)*s(16,48,20)+
s(40,40,28)s(48,40,12)-s(40,24,28)*
s(16,24,20)t(24,32,28)s(8,48,12)-*
s(32,32,20)s(32,48,12)-s(32,40,20)*
s(24,16,20)t(48,40,12)+s(24,48,20)+
c(48,16,12)c(16,40,12)+s(24,24,20)-
s(32,16,20)t(24,40,20)+s(40,8,12)-
s(16,16,20)s(24,24,28)s(40,16,20)*-
c(48,24,12)t(32,32,28)+c(40,32,20)*
c(24,40,20)s(24,24,28)*s(16,40,12)-
s(40,32,20)s(40,48,12)-c(40,16,12)+
t(40,32,20)c(32,32,12)+t(24,48,28)-
s(32,40,28)s(16,24,20)s(40,32,28)+*
s(16,40,12)c(48,48,12)s(48,16,12)++
c(40,32,20)s(40,24,20)*t(48,24,12)-
t(40,32,20)t(32,40,12)+t(32,56,12)+
t(24,32,28)s(16,32,20)*c(24,24,20)*
s(32,16,20)c(40,24,20)s(24,32,28)**
c(24,32,20)t(24,32,28)*s(40,32,28)*
s(40,24,28)s(32,40,20)*s(16,16,20)-
s(24,40,28)t(24,32,28)s(32,48,12)-*
c(40,24,20)s(40,40,28)t(40,48,12)-*
s(40,32,20)t(40,16,12)c(24,16,12)++
c(32,40,12)t(24,40,20)+s(32,48,20)*
c(24,40,12)s(48,24,12)t(32,16,12)++
s(8,16,12)t(32,16,12)+t(40,40,12)+
s(32,40,20)c(32,32,20)+t(24,48,28)-
t(24,40,28)t(32,48,20)c(40,24,20)+-
s(32,40,28)s(24,24,28)c(24,40,20)**
s(24,48,20)t(40,32,20)+s(16,48,12)-
s(32,24,28)s(40,16,12)-c(40,32,12)-
t(32,40,28)c(40,24,12)c(24,40,12)++
t(32,32,12)t(32,16,12)t(48,32,12)++
c(32,32,20)t(24,32,28)c(40,48,12)-*
s(24,32,20)t(24,40,28)*c(48,16,12)+
s(32,32,20)s(40,24,20)*t(24,16,12)+
t(40,32,20)t(24,40,28)t(24,48,28)*-
t(32,32,28)s(24,24,28)*s(48,24,20)-
t(24,48,28)t(32,32,28)+s(48,40,20)*
s(16,24,20)c(24,24,20)s(40,32,28)-*
s(40,32,28)c(32,40,20)*c(48,24,12)-
s(40,40,20)s(48,48,12)-s(32,40,20)*
s(32,40,20)c(40,40,20)s(48,40,20)**
s(32,16,20)t(32,48,20)c(40,24,20)-+
s(40,40,20)t(40,32,12)-s(24,32,12)-
s(24,24,20)s(32,40,12)+c(24,40,20)-
c(48,24,12)t(32,48,20)+s(40,40,20)*
s(40,32,20)t(32,48,20)s(48,48,12)--
s(40,32,28)s(32,24,28)*s(48,24,20)-
t(24,32,28)s(48,8,12)s(32,16,12)+-
c(32,32,20)s(40,24,28)s(24,24,20)*-
s(32,24,20)t(32,40,20)+t(24,48,28)*
s(40,24,28)t(40,24,20)s(48,32,20)+*
s(32,40,20)c(24,40,20)c(32,24,12)-*
s(40,40,28)s(32,16,20)s(32,32,20)*-
s(24,48,20)c(32,40,20)s(16,32,20)--
s(24,40,20)s(32,32,28)t(40,24,20)-*
s(40,32,28)s(24,16,20)-s(48,16,20)+
s(40,16,20)s(24,32,28)-s(40,24,12)-
s(40,24,20)c(24,48,12)+s(32,40,20)*
c(40,24,20)s(32,32,28)*s(40,32,20)*
c(24,40,20)s(32,24,20)s(24,32,28)**
s(32,32,20)t(24,24,20)+s(40,24,28)*
c(32,32,20)s(24,32,12)-c(40,32,20)*
s(32,40,20)t(24,48,12)-c(32,48,12)-
s(32,16,20)c(40,24,20)t(24,24,12)-*
s(40,24,28)c(32,32,20)*s(32,48,20)-
t(24,24,12)s(40,48,20)s(48,48,20)*+
s(24,40,20)s(48,24,20)+c(32,24,20)*
s(32,32,28)s(40,32,28)*c(32,32,20)*
s(24,24,12)t(32,40,12)+t(24,40,12)-
c(40,24,12)c(32,40,12)+t(40,48,12)-
c(32,24,20)s(40,24,28)*c(32,40,20)*
s(24,32,20)c(32,40,20)*t(40,24,20)-
t(24,32,20)t(32,48,28)+s(24,24,12)-
c(40,32,20)c(40,48,12)-s(48,16,20)*
s(24,24,28)t(40,24,12)-s(40,32,20)+
t(24,48,28)t(32,48,28)*c(32,40,20)*
s(8,24,12)t(40,48,20)t(32,40,28)++
t(24,40,28)t(16,16,12)+t(32,40,28)*
s(24,24,20)t(16,16,12)-s(40,32,28)*
s(32,40,20)s(24,40,12)-s(24,40,28)*
s(40,40,20)s(40,32,28)s(40,24,28)**
s(24,32,20)t(24,48,28)*c(24,32,12)+
s(32,32,20)c(16,48,12)+s(32,24,12)-
s(32,48,20)s(32,40,20)+s(32,32,20)*
t(32,40,28)t(40,16,12)s(32,48,20)+*
s(24,24,28)t(24,32,12)-s(16,32,20)*
s(40,16,20)c(32,32,28)*s(24,24,28)*
s(16,8,12)s(40,24,12)+t(32,32,12)-
s(16,40,20)s(16,48,12)-t(24,24,12)-
s(32,40,28)s(40,24,28)s(24,32,28)*-
c(32,32,20)s(48,48,20)+s(40,40,28)*
s(32,32,20)t(32,40,28)t(24,16,12)+*
s(32,40,28)t(32,32,12)-s(24,32,20)-
c(24,40,20)t(16,48,12)-t(48,24,12)+
c(24,24,20)s(16,16,20)-c(32,32,20)*
c(32,40,20)s(24,32,28)t(40,40,20)-*
t(24,32,28)c(32,24,20)*s(48,48,20)+
t(32,48,28)c(40,32,12)t(24,48,20)+*
s(16,24,20)c(32,40,20)s(16,40,20)*-
s(24,32,28)c(24,32,20)t(16,40,12)--
s(16,48,12)s(40,48,12)+s(24,24,28)+
s(24,24,28)c(40,40,12)-c(24,32,20)-
s(16,24,12)s(48,32,12)+t(24,48,20)+
c(24,40,12)c(48,48,12)+c(24,40,12)-
s(24,24,28)t(40,24,12)-c(24,40,20)*
t(24,32,28)t(24,32,12)-c(48,48,12)+
c(32,24,20)s(16,32,20)s(48,24,12)+*
c(32,40,20)t(24,32,28)*s(40,40,12)-
s(16,24,20)t(24,40,28)+t(32,32,28)+
s(40,32,28)s(16,40,20)s(16,24,20)-+
s(24,40,20)s(8,48,12)-s(16,24,12)-
s(40,40,20)s(40,48,20)*s(24,32,20)-
s(40,16,20)t(40,24,12)-c(48,16,12)-
s(16,32,20)c(32,32,20)*t(40,32,12)+
s(40,16,20)t(32,24,12)t(16,16,12)+-
s(32,40,20)s(48,24,20)s(32,16,12)--
t(32,40,28)c(32,24,20)-t(24,48,28)+
c(32,32,28)s(48,40,20)s(32,40,12)--
s(16,16,20)s(40,32,28)+s(8,48,12)+
c(32,24,20)s(40,24,20)s(48,24,20)**
c(32,24,20)c(32,32,28)s(48,32,20)*-
s(40,16,20)c(32,32,12)+s(32,16,12)-
s(24,24,28)c(24,32,20)*c(40,24,12)+
s(32,32,28)c(24,32,20)s(16,32,20)**
t(40,40,20)s(16,40,20)s(24,48,20)*-
t(24,48,28)s(24,32,20)s(48,24,20)-*
t(32,48,20)t(24,40,28)*t(48,24,12)+
c(32,40,20)s(48,16,20)s(24,32,20)+*
t(32,32,28)s(48,24,20)t(48,32,12)--
c(24,24,20)s(16,48,20)t(16,32,12)-+
c(32,32,28)c(32,40,12)-s(24,16,20)+
s(40,32,20)s(24,24,12)-s(48,24,20)*
s(40,32,28)t(40,24,12)-t(40,24,20)-
t(32,32,20)s(32,48,20)c(24,24,20)--
s(32,48,20)s(32,24,28)c(16,32,12)--
c(40,24,20)s(24,32,28)s(32,32,28)**
s(8,32,12)c(24,24,20)+s(40,24,28)*
s(32,24,28)t(48,48,12)+t(32,48,20)-
s(32,40,28)t(24,48,28)*c(32,40,20)*
t(24,40,28)t(32,48,20)t(24,40,28)*-
s(40,24,28)s(48,48,12)t(32,24,20)+-
c(32,32,20)s(8,8,12)s(48,48,20)+-
s(32,40,28)c(24,48,12)-s(40,40,28)*
s(16,40,20)s(48,48,20)+s(32,24,20)+
t(24,40,28)s(24,48,20)t(40,32,12)+*
s(24,24,28)c(16,16,12)-s(16,24,20)*
s(24,40,28)c(40,40,20)t(48,24,12)-*
s(24,48,20)s(40,40,28)t(24,48,20)--
s(40,24,28)c(40,32,20)s(32,32,28)**
s(24,40,28)t(32,48,28)t(24,48,12)--
c(24,48,12)c(32,24,12)+t(32,32,20)-
s(40,24,28)t(24,32,12)-s(48,32,20)+
t(24,32,20)s(24,16,20)s(24,32,12)--
s(24,40,20)s(32,48,20)c(24,16,12)+*
s(40,48,20)s(40,24,28)c(24,24,20)-+
s(24,24,28)s(24,48,20)-s(40,16,20)*
s(40,16,20)c(16,48,12)t(40,32,12)++
s(40,24,28)s(16,48,20)s(48,8,12)+-
t(48,40,12)t(24,32,28)+s(16,40,20)-
s(24,16,20)s(32,24,28)t(32,40,28)*-
s(24,40,28)s(32,32,20)s(40,24,28)**
c(32,40,20)c(40,24,12)-t(48,16,12)+
c(32,24,12)t(32,48,28)+s(24,8,12)+
s(24,48,12)t(48,16,12)+c(24,24,20)-
c(32,40,20)t(24,40,20)t(24,48,20)+*
c(24,24,20)s(40,32,28)*t(24,24,12)-
t(32,40,28)t(24,40,28)*s(24,32,28)*
s(32,16,12)s(16,32,20)+s(24,48,12)-
c(24,16,12)s(16,40,20)+s(32,32,28)-
t(24,40,28)t(40,40,20)-s(24,40,12)-
t(24,32,28)s(48,24,20)-t(32,40,28)*
s(32,40,28)s(8,8,12)c(16,40,12)+-
t(48,32,12)c(24,40,20)s(32,40,28)*+
t(24,32,28)c(24,16,12)-t(24,48,20)-
s(32,48,12)c(32,40,12)+s(24,48,20)+
c(32,32,20)s(40,24,20)s(32,40,28)*-
t(24,48,28)c(40,24,12)t(24,32,28)+-
s(16,32,20)s(16,24,20)t(24,16,12)-+
s(24,24,12)s(32,40,12)+c(24,40,20)*
c(32,40,20)s(32,48,20)*s(32,40,12)-
s(32,32,20)t(32,16,12)t(24,48,28)+*
s(40,24,20)c(48,48,12)+s(48,48,20)-
s(48,40,20)s(48,16,20)s(32,32,28)+*
s(24,40,20)s(40,24,20)-c(32,40,20)*
s(40,40,28)s(24,40,20)c(32,40,20)**
s(16,24,20)s(24,48,12)s(16,24,12)+-
s(40,40,28)s(48,32,12)-s(24,32,28)-
s(24,24,28)t(32,24,20)-s(24,32,28)*
t(32,32,28)s(32,48,12)t(40,24,20)+-
s(32,40,20)c(32,24,20)+s(40,48,20)*
s(40,40,20)s(16,32,20)+s(16,24,20)-
c(24,24,20)c(24,32,20)s(16,48,20)*+
s(40,32,28)c(40,40,20)c(48,40,12)-*
s(48,48,20)t(48,40,12)c(32,24,20)+-
c(32,32,20)t(32,32,28)s(48,48,20)--
s(24,32,28)c(32,40,20)t(48,40,12)-*
s(24,40,28)c(32,24,20)-s(8,32,12)-
s(8,16,12)s(32,32,20)s(32,40,20)*+
c(24,16,12)s(16,24,20)+s(40,16,20)-
s(24,40,28)s(24,16,12)+s(8,32,12)-
t(32,32,20)s(32,32,28)c(24,16,12)-*
s(40,32,28)c(32,48,12)-s(48,32,20)*
s(40,32,28)t(32,32,28)c(24,16,12)-*
s(40,40,20)t(32,48,12)-t(32,40,12)-
s(16,16,20)c(32,32,12)+c(32,24,20)+
s(48,8,12)s(32,16,12)s(8,24,12)++
c(40,32,20)s(40,40,20)*t(16,32,12)+
c(40,40,20)c(40,40,12)-s(48,48,12)-
c(40,32,20)c(24,32,20)*s(40,16,12)-
t(40,40,20)c(24,32,20)s(24,16,20)*+
t(32,48,28)c(24,24,20)-c(24,40,12)-
t(24,32,28)s(40,32,20)-t(24,32,12)-
s(24,40,28)s(32,40,28)t(32,24,20)-*
t(32,40,28)s(16,40,20)s(32,32,28)*-
c(24,40,20)s(40,32,28)*s(32,48,20)*
s(40,32,12)c(32,40,20)s(24,32,28)*+
s(32,40,28)c(24,24,20)-s(32,48,20)*
s(40,32,20)s(48,32,20)*s(32,32,28)*
s(24,48,20)s(16,48,12)-s(32,40,28)*
c(40,40,12)s(16,16,12)+c(48,48,12)-
s(24,32,28)s(40,32,20)*s(24,40,12)-
s(48,24,20)t(24,48,28)+s(32,48,12)-
t(48,24,12)s(32,16,20)t(32,24,20)-+
s(24,32,20)s(32,24,28)*c(40,32,20)+
s(32,48,20)s(32,32,20)*t(32,32,12)+
s(48,32,20)c(40,40,20)*s(40,32,20)*
s(24,40,28)t(40,40,12)-t(24,48,28)*
s(24,40,28)t(24,40,28)s(8,40,12)+-
c(32,32,28)s(40,16,20)c(32,40,20)--
t(32,40,28)t(40,32,20)s(40,16,12)--
c(24,32,20)s(16,16,12)-s(40,32,20)-
s(16,32,20)c(32,24,20)+c(32,40,20)*
s(40,32,28)s(24,16,20)-s(16,16,12)+
s(32,40,20)s(32,40,28)t(32,32,28)**
t(32,32,28)s(40,24,20)s(40,48,12)+*
s(32,24,28)s(48,48,12)+t(24,32,20)-
s(24,48,20)s(32,40,28)c(40,24,20)*-
s(40,40,28)s(40,24,20)-s(40,48,20)*
c(24,24,12)t(16,32,12)+s(48,8,12)+
c(24,24,20)s(32,24,28)t(40,16,12)-*
t(32,32,28)t(24,48,28)-c(40,40,20)*
s(8,24,12)s(40,40,20)s(48,48,20)*+
c(32,40,20)s(8,16,12)t(24,48,20)+*
s(48,32,20)s(32,24,20)s(48,24,20)*-
s(32,40,20)s(32,8,12)+c(40,32,20)*
s(32,40,28)s(32,32,28)s(40,24,28)**
s(32,24,28)s(24,48,20)t(32,24,20)+*
s(16,40,20)s(24,40,28)s(32,40,28)**
c(40,32,20)s(40,48,20)-s(32,32,28)*
t(48,48,12)s(24,24,28)+s(32,16,12)-
s(24,40,12)c(32,16,12)+c(40,32,20)*
s(48,40,20)t(24,32,28)-t(32,32,28)-
s(32,32,20)c(16,24,12)+s(40,16,20)-
s(24,16,20)t(24,24,20)s(16,24,20)*-
s(40,32,20)s(40,32,12)-c(24,32,12)-
s(32,24,28)s(32,8,12)-t(24,40,12)-
c(24,40,20)s(40,40,20)c(32,32,20)*-
s(40,24,28)c(32,32,20)*s(32,40,28)*
s(16,24,20)t(40,24,20)+s(32,40,20)-
c(40,40,20)c(32,48,12)-c(24,24,12)-
t(32,32,28)c(40,32,20)s(32,40,20)**
s(48,40,20)s(32,24,20)t(16,32,12)--
s(24,48,20)c(24,32,12)c(40,48,12)+-
s(48,24,20)c(16,40,12)+s(40,16,12)-
s(32,24,28)s(16,16,12)t(24,32,12)+-
s(40,40,20)s(40,24,20)s(40,32,20)**
s(16,24,20)s(24,32,20)*s(48,16,20)+
s(32,32,12)s(16,16,20)+s(40,32,28)+
s(32,40,20)t(24,32,28)+s(32,48,12)-
s(24,32,28)s(40,24,12)-c(32,24,12)-
s(40,32,20)s(24,40,28)*c(48,24,12)-
c(40,32,12)c(16,16,12)+t(24,32,28)*
s(40,24,12)s(24,24,20)s(8,16,12)-+
t(24,56,12)s(40,24,20)+s(32,32,28)*
s(24,24,28)t(32,48,28)t(24,32,20)+*
s(24,32,28)c(40,32,20)*s(48,32,20)-
s(40,24,28)c(24,24,12)-t(48,32,12)-
s(24,40,20)t(24,32,28)t(40,16,12)+*
s(16,16,12)t(32,48,20)s(8,24,12)++
s(24,24,20)s(24,32,20)s(32,32,20)+*
c(32,40,20)s(24,40,28)+c(24,32,20)*
s(48,32,20)s(40,32,28)t(24,40,20)-*
s(40,24,20)s(48,40,12)t(24,24,12)+-
c(32,40,20)s(24,40,20)s(40,40,12)--
s(32,40,28)t(32,32,28)t(32,32,20)--
c(40,40,20)t(32,32,20)-t(32,24,12)+
s(32,40,28)s(24,32,28)*s(32,24,28)*
t(24,24,20)s(32,16,20)+s(32,8,12)-
s(48,32,12)s(32,24,20)+s(8,16,12)+
s(16,24,20)c(32,32,28)s(24,40,12)-+
c(24,24,20)c(32,32,28)s(32,40,20)-*
t(32,40,12)s(24,8,12)+t(24,16,12)-
s(16,40,12)s(40,32,20)+s(32,32,28)*
s(48,24,20)s(48,32,20)t(32,40,28)-*
s(32,32,28)c(32,40,20)*s(40,32,20)*
s(8,32,12)s(40,24,28)t(32,32,20)-+
t(32,32,28)c(40,40,20)*s(24,16,20)-
c(16,40,12)s(40,40,28)c(40,24,20)*+
s(48,32,20)s(32,32,28)s(40,16,20)--
s(32,48,20)s(40,32,28)*c(32,16,12)+
s(8,32,12)c(40,24,20)t(24,32,12)-+
s(8,32,12)c(40,48,12)+s(16,48,20)+
c(24,40,20)s(16,40,20)+t(16,48,12)-
t(24,40,28)s(16,40,20)*s(48,16,12)+
s(8,24,12)c(24,40,20)+t(24,48,20)-
s(24,32,28)s(40,40,28)s(24,24,12)-*
s(32,16,20)c(24,32,20)-c(40,32,12)+
s(48,24,20)c(48,48,12)+s(40,24,28)*
s(32,40,28)s(40,48,20)*t(32,48,28)*
s(40,40,20)s(24,32,20)c(32,24,20)*-
s(40,40,28)t(32,40,28)*c(32,32,20)*
s(24,16,20)s(24,24,20)s(16,24,20)**
t(40,24,20)c(32,32,28)s(24,24,20)-+
s(40,48,20)c(40,40,20)s(32,40,28)*+
s(40,48,20)s(48,32,12)-s(32,40,28)*
s(24,32,28)s(40,24,20)-s(40,32,28)*
s(48,48,20)s(40,32,20)+t(24,40,28)*
s(32,32,20)s(40,40,28)s(40,24,28)**
s(32,8,12)c(16,32,12)+s(8,48,12)+
s(48,16,20)c(48,16,12)t(24,40,12)+*
t(24,24,20)s(32,32,28)c(16,40,12)-*
t(32,40,28)s(40,32,28)*c(24,24,20)*
s(48,24,12)t(32,24,20)+c(40,40,20)-
c(40,24,20)s(32,32,28)*c(40,24,12)-
s(24,32,20)s(32,16,20)s(24,40,12)+*
s(24,16,20)t(40,24,20)+t(32,32,28)*
s(32,24,20)t(40,48,20)s(40,32,20)+*
s(24,16,20)t(24,32,28)c(32,40,20)*-
s(32,24,28)c(32,24,20)s(48,24,20)*-
c(24,32,12)c(32,24,12)+c(24,40,20)*
s(8,8,12)s(40,32,28)c(24,40,12)-+
t(48,40,12)c(40,16,12)t(16,24,12)++
s(40,40,20)s(16,40,20)c(16,48,12)--
t(24,32,28)s(32,40,20)*c(32,48,12)+
c(24,24,20)s(40,40,12)c(24,24,12)+*
s(48,24,20)s(24,16,12)+s(40,40,28)-
c(32,24,20)t(32,16,12)-s(32,32,20)*
s(40,32,20)t(32,32,28)*s(24,32,12)+
t(24,32,28)s(24,32,28)t(24,48,28)*-
s(40,24,28)s(40,24,20)-s(40,32,28)*
t(40,32,20)s(24,32,20)s(16,32,20)*-
s(24,24,20)s(40,16,20)c(40,24,20)*-
s(32,32,20)c(32,40,20)c(32,40,12)--
c(32,40,20)t(24,32,28)*t(24,40,28)*
s(40,16,20)s(40,32,20)-t(40,48,12)+
s(40,32,28)t(40,40,12)s(32,24,20)+-
s(24,40,20)s(32,48,12)-s(8,16,12)+
s(48,48,20)c(32,48,12)-c(40,40,20)*
s(32,40,28)s(32,24,20)s(40,24,20)**
c(40,32,20)c(32,40,20)s(32,32,12)-*
c(24,40,20)c(40,40,12)-s(24,32,28)*
c(40,32,20)s(40,24,28)*s(32,24,20)*
s(24,40,20)c(40,32,20)t(48,40,12)-*
c(40,32,20)s(24,40,20)-s(32,32,20)+
c(40,32,20)s(32,32,28)c(16,24,12)-*
c(40,32,20)t(32,40,20)*c(40,32,12)+
c(32,40,12)s(40,48,20)+c(40,40,20)*
s(24,24,20)c(16,24,12)s(8,40,12)+*
s(16,32,20)c(32,24,20)s(24,40,20)+*
t(16,56,12)t(40,32,12)s(16,24,12)++
s(32,24,20)t(32,24,12)-c(16,40,12)-
s(40,40,20)s(16,16,12)+s(32,24,28)*
c(32,24,20)s(8,16,12)c(24,32,20)+*
s(40,48,20)c(32,32,20)*t(48,40,12)+
s(40,40,20)s(32,24,28)s(24,16,20)-*
t(32,32,28)s(16,24,20)t(24,40,28)+*
t(32,16,12)s(8,24,12)+s(24,32,28)*
s(24,40,28)s(32,8,12)t(24,48,28)+-
c(24,32,20)c(40,40,20)-t(32,24,12)-
t(24,40,20)t(24,24,20)c(40,24,12)--
s(40,40,28)s(24,32,28)s(24,40,28)+*
c(24,40,20)s(40,40,28)s(40,24,28)--
s(24,32,20)t(32,16,12)-t(40,16,12)+
c(48,24,12)c(24,24,12)+s(32,24,12)-
c(40,24,20)s(48,32,20)*t(24,24,20)-
c(40,40,20)c(32,32,20)*s(48,32,20)*
c(24,32,20)c(32,32,28)t(32,24,20)-*
s(32,32,28)s(24,40,20)*s(32,48,20)*
c(32,32,20)s(8,24,12)+t(24,24,20)*
s(40,40,28)t(32,32,28)*t(24,40,28)*
s(24,40,28)s(24,24,28)*t(32,32,20)-
c(40,40,20)c(16,48,12)t(32,40,28)+-
s(48,8,12)t(48,40,12)+t(32,56,12)+
t(32,48,28)s(16,48,20)*c(40,16,12)+
s(48,48,20)s(24,24,12)+c(24,32,20)*
s(32,24,20)c(40,40,12)t(24,56,12)+-
c(24,24,20)s(24,32,20)*s(24,40,28)*
s(16,8,12)c(32,24,20)+s(40,8,12)-
s(24,32,20)s(24,32,28)s(16,48,20)*-
s(48,40,20)t(40,32,12)t(32,40,20)+-
s(48,48,20)c(48,40,12)t(48,24,12)+-
s(40,24,28)s(48,32,20)-c(40,24,20)*
s(24,32,28)s(8,16,12)-s(40,40,28)*
c(40,24,12)t(24,40,20)s(24,48,20)*+
c(40,32,20)s(40,40,28)s(24,32,28)**
t(16,40,12)s(40,32,20)s(48,24,20)*+
c(32,32,12)c(24,40,20)s(16,48,20)*+
c(40,32,20)s(48,40,12)-s(32,32,20)*
s(32,32,28)c(48,48,12)-s(48,16,12)-
s(48,16,20)c(32,40,20)+s(48,24,20)*
c(32,40,20)s(40,48,20)-t(32,32,28)+
t(40,48,20)c(24,24,20)s(24,40,28)*-
c(24,32,20)s(32,40,20)*s(32,48,12)-
c(24,24,20)s(8,32,12)c(40,40,20)+*
t(24,40,20)c(32,40,20)s(32,32,20)*+
t(24,40,28)t(16,24,12)s(32,40,12)++
s(32,24,20)c(48,32,12)-s(24,40,28)*
s(32,32,20)s(16,16,20)-t(40,24,12)-
s(16,32,20)c(16,48,12)-c(40,32,20)-
s(16,48,12)c(32,48,12)+t(32,32,28)-
s(40,40,20)t(24,40,28)-c(24,40,20)+
s(40,32,28)s(32,40,28)*s(24,32,28)*
s(32,32,28)c(16,16,12)-c(24,24,20)*
s(48,48,20)s(32,48,12)-t(40,40,20)-
s(40,40,28)t(32,24,20)-c(24,24,20)-
s(32,32,28)s(24,16,20)s(24,24,20)**
s(40,40,28)c(48,40,12)s(24,48,12)+*
s(24,32,28)t(32,32,28)*c(24,48,12)-
s(40,40,28)s(24,32,20)*t(32,48,12)-
s(32,32,28)c(40,40,20)t(24,56,12)+*
c(16,24,12)c(32,24,20)+s(40,24,28)*
c(40,40,20)s(32,48,20)c(24,40,20)**
s(32,48,20)s(32,32,12)+s(40,40,20)*
s(48,24,20)s(24,32,20)-t(40,40,20)+
s(16,32,20)c(24,32,20)s(32,40,28)**
t(32,40,20)s(24,40,20)+s(48,48,20)-
c(24,24,20)t(32,32,28)*c(16,48,12)-
c(24,32,20)t(32,24,12)-c(32,24,20)*
c(32,32,20)s(24,16,12)-t(16,32,12)-
s(32,24,28)c(24,40,20)t(40,40,20)--
s(16,48,20)c(40,40,20)t(32,32,12)--
c(32,32,20)c(16,48,12)-c(24,24,12)-
c(48,48,12)c(32,32,20)+c(24,24,20)*
s(48,24,20)s(40,32,12)-s(32,16,12)-
s(32,48,20)s(32,40,28)c(40,40,20)**
t(24,40,20)s(24,24,20)s(8,32,12)-+
t(48,40,12)t(24,24,20)+t(32,32,28)*
c(32,32,20)c(32,24,20)*s(24,32,28)*
s(16,16,20)s(48,48,20)+t(32,40,28)*
c(40,32,20)c(24,32,20)*s(32,40,20)+
t(24,24,20)c(32,32,28)s(24,16,20)**
s(40,32,28)c(24,40,20)*c(48,40,12)-
s(40,32,20)s(48,8,12)s(48,24,20)+*
c(32,32,28)s(40,48,20)*t(40,32,20)-
s(8,16,12)c(40,24,20)+c(48,24,12)-
c(32,32,28)s(32,24,20)-s(16,48,20)*
s(24,24,20)s(24,16,20)t(16,16,12)--
s(48,24,20)s(8,16,12)s(40,32,28)+*
t(24,40,28)s(32,48,12)-c(24,32,20)*
c(24,24,20)c(24,40,20)*s(24,24,20)*
t(32,48,12)t(40,40,20)+s(40,32,12)-
t(16,56,12)t(40,40,20)+s(48,32,12)-
s(48,40,20)c(24,32,12)+t(32,40,20)*
s(32,24,28)s(16,16,20)c(40,32,20)--
s(24,8,12)t(24,24,20)+c(32,32,20)*
c(16,40,12)c(48,24,12)+t(32,32,28)-
c(40,24,20)c(48,40,12)t(32,32,20)+*
c(32,24,20)c(40,32,20)*s(24,32,28)+
c(32,24,20)c(24,32,20)t(16,16,12)-*
t(32,32,28)c(40,32,12)s(16,40,12)+*
c(32,32,28)s(24,40,28)*s(16,32,12)-
t(40,24,20)s(40,48,20)s(8,16,12)+-
s(40,24,28)s(24,40,28)c(40,48,12)-*
s(24,48,20)t(40,32,20)s(24,48,12)+*
s(24,32,28)s(24,40,12)-t(24,24,12)-
c(32,40,20)c(24,24,12)+s(24,24,20)*
t(32,40,28)s(16,32,12)s(32,24,20)+*
s(48,32,20)s(48,24,20)*s(48,40,20)*
t(32,32,28)c(24,24,20)s(32,32,20)*-
s(32,24,20)c(24,32,20)s(16,40,20)*+
s(32,40,20)c(32,32,20)*s(48,40,20)+
s(48,8,12)c(24,32,12)+s(24,40,28)+
s(16,24,20)s(32,32,12)t(16,48,12)+-
s(32,16,20)t(16,16,12)-c(40,16,12)-
s(32,16,20)c(32,40,12)s(16,8,12)++
c(40,32,20)s(48,24,20)-t(24,32,28)*
t(48,16,12)s(32,40,20)+s(24,40,20)*
s(24,40,28)s(8,16,12)t(24,40,28)+-
t(24,32,20)t(32,40,20)+s(40,32,28)*
s(32,32,20)s(16,40,12)-c(24,40,20)*
s(48,16,20)t(48,16,12)s(48,48,20)+-
s(24,24,28)c(32,32,28)*t(32,40,20)+
c(16,48,12)s(16,24,12)+s(16,32,20)*
s(24,32,28)t(24,48,28)*c(24,32,20)*
t(24,32,20)s(32,24,12)+c(16,24,12)-
s(32,40,12)t(40,40,20)t(24,32,20)-+
c(32,24,20)s(32,32,28)c(16,40,12)-*
s(32,32,20)c(16,40,12)s(24,24,20)+*
c(32,24,20)t(32,40,28)c(24,40,20)**
s(40,24,20)s(40,32,20)*t(48,16,12)-
s(48,40,20)s(40,40,28)c(32,32,20)**
t(24,32,28)c(24,24,20)s(40,48,20)--
s(32,32,28)c(40,32,20)s(40,32,12)-*
t(32,40,20)s(40,40,20)*t(48,32,12)+
c(40,24,20)t(40,40,20)s(24,24,12)+-
s(32,16,20)s(40,32,28)s(24,48,20)-*
c(32,40,20)s(16,16,20)c(32,40,20)-+
t(40,32,12)s(8,48,12)+s(40,40,12)+
s(40,48,12)s(32,40,12)+s(48,24,20)-
t(24,40,28)c(32,24,20)c(24,40,20)*-
t(32,48,20)t(32,16,12)+s(16,48,12)-
s(8,40,12)c(32,32,20)+s(32,32,28)*
t(24,40,12)t(48,48,12)+t(24,40,28)+
c(32,24,20)s(48,32,12)-t(32,24,20)*
s(16,48,20)c(32,32,20)-s(16,32,20)-
c(40,32,20)t(32,48,20)-s(48,32,12)-
s(32,16,20)s(16,24,20)-s(32,24,28)*
s(32,24,20)c(40,32,20)t(48,40,12)-*
s(8,48,12)c(32,40,20)t(24,24,12)-+
c(16,40,12)c(48,24,12)+t(24,24,20)-
s(24,40,28)s(32,48,20)t(40,48,20)+*
c(24,24,20)t(32,16,12)t(32,48,28)+*
s(32,32,28)s(24,16,20)t(24,48,12)+*
s(24,32,28)s(32,48,20)s(24,48,20)*-
t(32,48,28)c(40,40,20)*s(40,48,12)-
s(40,24,20)s(32,24,28)s(32,48,20)-*
s(16,40,20)s(16,16,12)+t(24,40,28)*
s(32,40,20)s(48,32,20)-t(40,40,20)-
s(8,24,12)s(32,16,12)+s(32,32,20)-
s(32,16,20)s(24,24,28)s(40,32,28)**
c(40,16,12)s(48,32,12)+s(24,32,20)-
s(8,40,12)s(48,8,12)+t(16,32,12)-
s(48,24,20)s(40,32,28)*t(32,32,12)-
t(32,32,28)t(32,40,28)*c(24,24,20)*
s(24,24,28)t(32,32,28)*s(48,48,20)-
s(24,32,28)s(24,32,12)s(8,40,12)+*
c(40,40,20)s(40,24,28)*s(24,48,20)-
s(24,48,20)s(32,40,28)*s(32,48,20)+
c(24,32,20)t(24,24,20)s(48,32,20)-*
c(24,24,20)s(32,40,28)*s(40,40,28)*
c(40,40,20)s(24,32,28)-t(24,48,20)-
t(40,40,20)s(40,48,20)s(16,32,12)+*
s(32,40,28)t(40,32,20)*t(24,32,20)+
c(24,32,20)t(24,40,12)-c(40,32,20)-
t(32,48,28)t(32,40,28)s(16,40,20)-*
s(48,16,20)c(40,32,20)c(40,24,20)**
c(24,24,20)t(32,32,20)s(48,8,12)+*
c(16,40,12)c(48,32,12)+s(24,8,12)+
s(40,32,28)s(24,16,20)-c(24,32,20)-
c(32,32,20)c(40,32,20)*s(40,24,12)-
c(40,32,20)s(24,24,28)s(8,32,12)-*
s(24,24,20)s(40,24,28)*c(16,48,12)+
t(40,48,20)s(24,16,20)+c(24,32,20)*
t(40,24,12)s(24,40,20)+c(40,24,20)*
s(32,40,20)c(24,40,20)*c(16,32,12)+
c(40,32,20)s(24,24,20)-t(40,32,12)+
s(40,16,12)t(32,40,20)+c(16,48,12)-
s(32,32,28)t(24,48,28)t(40,48,12)-*
s(40,16,20)c(24,24,20)c(32,40,20)*-
t(32,48,28)s(32,16,12)+s(32,40,12)-
t(40,24,20)s(32,16,20)+c(24,32,20)*
s(40,32,20)c(24,24,20)s(32,24,28)*-
s(24,40,28)s(32,40,12)-t(24,48,28)*
s(48,48,20)s(24,40,28)-s(48,40,20)*
s(32,32,28)t(32,16,12)-s(40,40,28)*
s(16,16,20)c(24,24,20)*t(24,40,20)-
s(16,16,20)s(16,32,20)s(16,16,20)*-
s(40,40,20)c(32,32,28)s(16,48,20)*-
s(24,24,20)s(40,24,20)*s(40,40,20)+
c(32,24,20)s(48,40,20)-t(32,32,20)-
s(32,40,20)t(32,40,28)s(24,24,12)-*
s(40,24,28)s(24,24,28)s(24,40,28)+*
s(48,16,20)t(48,24,12)-c(32,32,20)-
c(40,24,12)t(48,48,12)+s(32,8,12)+
s(32,24,28)s(24,32,28)*c(40,16,12)-
c(40,24,20)s(24,24,28)s(32,48,20)-*
s(32,24,28)s(40,40,20)t(24,56,12)+*
s(48,40,20)t(24,40,20)+s(40,24,28)*
t(40,32,20)s(48,8,12)+c(24,40,20)-
c(40,24,20)s(40,40,28)t(40,24,20)*-
s(24,24,20)s(40,24,28)c(48,16,12)-*
s(24,16,20)s(24,24,12)-s(32,40,12)+
s(24,24,20)c(40,40,20)+s(16,24,12)-
t(24,32,28)s(40,32,20)s(40,16,12)--
s(32,24,12)c(24,40,12)+c(40,48,12)+
c(40,32,20)t(16,40,12)+s(48,16,20)*
s(16,48,20)s(40,48,20)t(32,48,20)*-
t(24,32,28)s(16,24,20)*s(32,48,12)+
t(32,32,20)s(48,40,20)t(32,24,20)--
s(24,32,28)t(32,48,28)-s(40,24,12)+
s(32,8,12)t(24,48,20)s(24,40,20)*+
c(24,32,20)s(24,8,12)t(24,32,20)+*
c(32,40,12)c(24,48,12)+t(24,40,28)*
t(24,32,20)s(24,48,12)+c(32,48,12)-
s(32,40,20)c(24,24,12)+s(48,32,12)-
t(24,32,28)s(16,32,12)s(40,40,20)+*
s(24,32,28)s(32,32,28)s(40,16,20)-*
s(16,16,20)s(24,24,28)*t(24,40,20)-
s(32,40,28)t(32,32,28)s(32,48,20)-*
t(24,32,28)s(24,24,28)*s(16,40,20)*
c(32,24,20)s(24,40,28)s(16,48,12)--
c(32,24,20)t(16,32,12)-c(32,40,20)-
s(48,24,20)s(40,48,20)-s(40,32,28)*
c(32,24,20)t(32,32,20)c(40,40,12)+*
c(24,24,20)c(24,40,20)s(32,48,20)*-
t(24,32,12)c(40,24,20)c(32,32,12)-+
s(24,40,20)c(32,40,20)*c(16,48,12)-
c(40,40,20)s(40,32,28)c(24,24,20)*-
t(40,56,12)s(32,32,28)s(16,24,20)-+
t(32,48,28)s(40,40,20)s(24,40,12)-+
c(32,40,20)s(24,16,20)s(48,48,20)+*
s(40,24,28)s(24,24,20)*c(32,32,20)*
t(24,40,28)t(32,32,28)c(16,48,12)-*
s(40,40,28)c(40,24,20)s(32,32,20)--
s(24,32,28)s(40,40,28)c(40,24,20)**
c(32,32,20)c(40,32,20)t(40,48,12)-*
s(40,48,20)c(24,40,12)-s(48,40,20)*
c(24,32,20)s(16,40,20)c(32,32,12)--
s(24,32,20)s(24,16,20)c(40,32,12)+*
s(40,40,28)s(24,40,20)t(32,32,28)**
t(24,32,28)s(40,24,28)c(24,16,12)-+
s(48,24,20)c(40,24,20)s(40,16,20)-+
t(40,40,20)t(16,40,12)+s(24,32,28)*
c(40,32,20)s(48,40,20)t(24,40,28)-*
s(40,48,12)s(40,24,28)c(32,24,20)*+
s(24,32,28)s(16,24,12)-s(40,40,20)*
t(32,56,12)c(40,24,20)s(32,24,12)-+
c(40,32,20)s(32,40,28)s(24,32,28)**
c(40,32,20)s(16,24,20)-c(16,32,12)+
t(40,32,20)t(16,24,12)+t(24,32,12)-
s(32,32,28)s(16,48,12)-c(16,40,12)-
s(24,24,12)s(40,40,12)+s(32,24,28)*
c(40,24,20)t(32,40,28)*t(40,32,12)+
s(24,24,28)s(32,16,20)+c(40,40,12)-
t(32,32,20)s(32,32,28)s(24,32,20)--
c(24,40,20)s(16,48,12)-s(40,32,28)*
s(40,32,28)s(48,40,20)-s(40,40,20)-
s(40,40,20)t(24,48,12)-c(32,40,20)*
s(8,40,12)t(24,24,20)c(24,40,12)-+
c(32,16,12)s(16,48,12)+t(32,40,20)+
s(32,32,20)s(16,32,20)s(8,40,12)-*
s(32,48,20)c(16,32,12)-c(48,32,12)+
s(40,16,20)c(40,40,20)t(32,24,12)--
t(40,24,12)s(24,32,28)t(32,40,28)*+
s(24,16,20)t(32,24,12)t(16,48,12)++
s(32,24,20)s(24,24,20)s(24,32,20)*-
t(24,48,28)s(16,48,12)s(16,32,20)+*
s(40,16,20)s(48,16,20)*s(48,24,20)+
t(32,32,28)c(32,32,12)t(48,24,12)+*
c(24,40,20)t(24,48,28)s(32,40,28)**
c(32,24,20)t(24,16,12)-c(32,32,20)*
c(40,40,20)t(40,40,12)-s(32,32,28)+
s(24,24,20)t(24,16,12)-c(16,16,12)+
c(40,24,12)s(24,32,28)s(32,24,28)*+
c(40,24,20)s(48,24,20)*s(48,32,12)-
s(40,32,28)t(32,32,28)s(40,40,12)-*
c(32,32,20)s(48,24,12)-s(32,32,12)-
s(32,32,28)s(40,40,12)-c(24,40,20)*
s(40,40,20)c(32,40,20)s(48,48,20)--
s(40,40,28)s(24,16,20)c(40,16,12)+-
s(40,32,28)c(40,16,12)-c(48,48,12)-
s(24,32,28)t(40,48,20)-s(40,40,28)*
s(24,24,20)s(40,24,28)+t(40,32,12)-
c(32,40,12)t(24,32,20)+t(32,32,28)*
t(32,48,28)t(24,48,28)t(24,40,28)*-
s(32,24,20)t(32,16,12)-c(40,24,20)*
s(24,8,12)c(24,40,12)+s(16,48,12)-
s(24,48,20)c(32,40,20)c(40,24,20)*+
t(24,32,28)c(32,32,20)c(40,16,12)-*
c(24,40,20)c(16,32,12)c(40,24,12)++
s(16,24,12)t(24,48,28)s(16,32,12)-+
c(32,32,20)t(40,48,12)-s(40,24,20)-
c(40,24,20)s(40,40,28)*s(32,40,28)*
s(24,40,28)t(32,40,28)*c(24,48,12)-
s(16,24,20)s(16,32,20)*s(16,40,20)*
s(24,24,28)s(24,40,12)c(40,32,20)+*
s(40,24,28)s(32,24,28)*t(24,48,28)-
t(24,40,28)c(32,32,20)*s(48,32,20)-
s(24,40,20)s(24,24,20)*t(32,24,20)+
c(40,32,20)t(24,40,28)*s(16,32,12)-
s(48,24,20)s(32,32,28)*s(48,32,20)*
t(24,24,12)s(32,40,20)+t(40,48,12)-
t(40,40,20)c(32,24,20)+t(32,32,28)*
t(16,16,12)t(32,32,28)s(32,16,20)-+
s(24,24,28)s(40,16,20)+s(16,32,20)*
s(24,40,20)t(40,40,20)s(40,32,20)*-
c(40,40,20)s(24,40,20)s(32,48,20)*-
c(40,24,20)t(24,48,20)c(48,32,12)++
c(32,32,20)t(40,24,20)-c(24,16,12)-
s(40,24,20)s(40,40,28)t(16,48,12)+*
c(32,24,20)s(24,16,20)-s(24,32,28)*
s(16,40,20)s(32,32,28)*s(32,24,12)-
s(24,40,28)s(32,48,20)*s(48,8,12)+
c(32,32,20)s(40,8,12)c(48,32,12)+-
c(32,40,20)s(40,48,12)-t(24,24,12)-
t(40,40,20)t(24,48,20)+s(16,48,20)+
t(32,48,28)t(16,56,12)-s(32,48,20)*
s(32,32,20)s(16,16,20)s(24,24,20)+-
s(24,32,20)c(24,40,20)s(16,40,20)**
c(32,40,20)s(40,32,28)*t(40,24,20)+
t(32,48,28)t(24,16,12)+t(24,48,28)-
s(32,40,20)s(8,48,12)s(16,32,12)+-
s(24,16,20)c(24,32,12)-s(32,40,28)+
s(32,16,20)s(24,40,20)t(32,48,28)*+
s(16,48,20)s(16,32,20)c(24,40,20)*-
t(48,40,12)s(16,32,20)s(16,8,12)++
s(24,32,20)c(32,40,12)-s(24,40,20)+
c(40,32,20)s(48,16,12)c(32,32,20)+*
c(24,16,12)t(24,48,28)+c(24,40,20)*
s(32,32,28)s(32,16,20)s(40,32,12)-*
s(40,40,20)c(48,40,12)-t(32,40,28)*
c(32,16,12)s(40,32,28)c(24,16,12)-+
s(32,48,20)t(24,48,20)s(48,16,20)+-
s(48,24,20)s(40,32,20)s(48,32,20)**
c(32,24,20)c(24,24,20)s(24,40,20)-*
s(24,24,28)t(32,24,12)-c(32,32,20)*
s(32,8,12)s(32,32,20)+t(24,24,20)*
s(40,40,20)s(32,40,20)*s(24,40,28)*
t(24,24,20)s(24,32,20)t(32,56,12)+*
s(40,48,20)s(48,24,20)c(40,24,12)--
t(24,32,28)c(40,32,12)-s(32,24,28)*
t(24,40,20)s(16,48,12)+s(40,48,12)-
s(24,16,12)s(48,40,12)t(32,56,12)++
s(48,40,20)c(24,24,20)+c(40,32,12)-
s(40,32,20)s(48,32,12)t(24,32,28)+*
c(40,32,20)t(40,40,20)s(24,16,20)+*
s(40,24,28)t(16,32,12)+t(32,48,28)-
s(32,32,28)s(32,16,20)-s(24,32,20)*
s(32,32,20)s(16,48,20)s(16,32,20)+-
s(32,40,20)s(24,40,20)t(24,32,20)*-
c(24,24,20)s(32,40,20)+t(24,32,28)*
s(32,40,28)s(40,24,20)-c(48,40,12)+
s(32,32,20)t(32,40,28)s(24,40,12)-*
s(32,40,20)t(24,32,28)*t(16,32,12)-
s(24,32,28)s(16,48,20)*t(24,40,28)*
c(16,40,12)c(40,32,20)+s(24,48,12)-
t(32,32,28)c(48,32,12)s(32,16,12)+*
s(48,40,20)s(48,48,20)s(48,32,12)-*
s(24,32,28)s(16,32,20)-s(48,32,12)+
t(24,32,20)t(40,32,20)+s(40,40,20)-
c(40,32,20)s(40,24,20)c(16,16,12)+-
s(32,24,20)s(32,32,20)*s(24,32,20)*
s(32,24,28)s(48,24,12)-t(24,16,12)-
t(24,40,20)s(24,8,12)t(40,40,12)++
t(32,48,28)s(16,48,20)s(16,32,20)*-
s(40,24,28)s(24,32,28)*c(24,24,20)*
s(24,32,20)s(48,32,20)-t(16,24,12)-
s(40,40,28)s(32,24,28)s(32,32,28)**
s(32,24,20)t(32,32,20)c(32,40,12)+*
c(40,40,20)c(40,32,20)t(32,48,28)*-
t(40,32,20)s(32,40,28)c(40,32,20)**
s(24,40,12)s(8,24,12)+s(16,32,20)*
s(24,40,20)s(48,24,20)+c(24,40,20)*
s(40,40,28)t(32,40,28)*c(32,32,20)*
t(32,48,28)c(24,32,20)s(48,40,20)--
s(24,48,12)s(24,24,28)s(32,32,28)-+
c(40,40,20)c(32,32,28)s(32,48,20)*-
s(48,24,20)s(40,32,28)c(24,24,20)-*
c(24,32,20)c(40,24,20)s(24,24,20)**
s(8,16,12)c(32,32,12)+c(32,32,28)*
c(16,48,12)s(32,24,20)s(24,16,20)*+
s(40,40,20)s(40,48,20)*s(40,32,20)*
s(24,24,28)c(32,24,20)s(32,32,28)**
s(16,24,20)s(48,24,20)+s(48,40,20)-
c(32,40,20)c(48,40,12)-s(40,32,28)*
s(16,40,20)s(32,40,20)s(24,32,28)*-
s(40,24,28)s(40,40,28)t(32,48,28)*-
s(32,24,28)t(24,32,28)t(16,32,12)--
s(48,40,20)c(32,32,28)*s(48,40,12)-
s(32,40,20)s(16,40,12)-s(40,40,12)-
s(32,16,20)t(24,32,28)+t(24,40,20)*
s(32,16,20)t(16,24,12)s(16,40,12)+-
s(24,48,20)t(40,48,12)+c(24,40,20)*
t(24,32,28)s(16,40,20)t(24,24,20)-+
t(24,48,28)t(40,48,20)-s(16,48,12)-
s(40,32,28)t(24,40,28)*t(32,24,12)-
s(40,16,20)s(32,24,20)c(40,40,20)+*
t(32,48,28)c(24,32,20)c(32,32,20)**
s(32,24,28)s(48,40,20)c(40,40,20)*-
c(24,24,20)s(24,40,28)s(40,48,20)+*
s(32,32,28)s(8,16,12)+c(32,48,12)-
s(48,24,20)c(48,32,12)s(8,24,12)+-
s(16,16,20)s(32,16,20)-s(32,24,12)+
s(48,16,20)s(48,40,12)+s(48,24,20)*
c(32,40,20)s(32,48,20)*t(40,32,12)-
t(24,24,12)s(40,24,20)s(40,40,20)*+
s(32,40,28)s(48,24,12)-c(16,24,12)-
s(16,40,20)c(32,32,28)s(24,32,12)--
s(32,32,20)s(32,32,28)s(24,24,28)**
s(32,16,20)c(24,24,20)t(40,32,20)-*
c(32,32,28)s(40,48,20)*s(40,40,20)*
s(32,32,12)t(32,48,20)+t(32,48,28)*
s(32,48,20)t(32,48,20)s(40,40,12)+*
s(40,32,28)t(32,24,12)-c(24,40,20)+
s(32,32,28)t(40,24,20)-t(32,48,28)*
s(24,24,28)t(32,40,28)s(32,32,28)**
s(8,8,12)c(40,32,20)t(40,40,20)-+
s(32,24,20)s(48,24,20)+s(16,40,20)+
t(16,40,12)c(40,24,20)+t(24,40,28)*
c(40,40,20)s(8,8,12)+c(32,32,12)-
s(16,24,20)s(32,32,28)s(40,8,12)+*
t(24,48,12)c(32,40,12)+s(40,48,20)+
t(24,32,28)s(40,24,28)*c(24,24,20)*
t(48,40,12)s(24,24,28)+t(24,32,28)*
s(24,48,20)s(32,16,12)s(16,48,20)+*
t(24,16,12)s(8,32,12)t(16,40,12)++
t(24,40,28)s(32,24,28)*s(40,32,12)-
s(24,24,28)s(40,24,28)*t(40,40,12)-
s(40,40,20)s(40,48,20)*s(32,24,20)-
c(32,24,20)s(24,32,28)t(40,24,12)-*
c(32,16,12)s(40,40,20)s(40,40,12)-+
s(24,32,28)s(24,40,28)s(32,40,12)--
s(40,24,20)s(32,16,20)s(40,24,20)*-
s(32,32,28)t(40,24,12)c(24,48,12)+-
s(32,24,20)s(48,8,12)t(40,32,20)+*
s(32,48,20)t(24,48,28)*c(40,32,20)-
c(24,40,20)t(32,32,28)*s(24,40,20)*
c(32,40,20)c(32,32,28)c(32,32,12)--
s(40,16,12)c(24,40,20)s(8,48,12)-+
s(16,32,20)s(16,24,20)c(24,40,12)-*
t(40,48,12)t(32,32,20)+c(32,24,12)+
s(32,24,20)t(32,32,28)*t(32,32,20)*
s(48,48,20)c(32,48,12)+s(32,40,28)*
c(24,40,20)s(32,32,20)*t(24,40,28)+
c(32,40,20)t(40,32,20)s(32,16,20)+*
s(24,40,28)s(32,40,28)t(32,24,12)-*
t(32,32,28)s(40,16,12)t(32,24,12)++
s(48,40,20)t(32,40,20)s(24,16,20)--
s(16,32,20)t(32,40,20)s(16,8,12)+-
s(40,24,20)s(40,32,20)*c(24,16,12)-
s(24,24,20)t(24,32,12)-t(32,32,20)-
s(24,24,20)c(32,24,20)*s(16,40,12)-
s(24,24,20)s(32,32,20)t(32,24,20)*-
t(24,48,28)s(24,24,28)s(8,16,12)--
s(24,48,12)c(24,32,20)s(40,40,20)*+
c(24,32,20)c(24,16,12)-s(16,32,20)*
c(24,40,12)t(40,56,12)+c(32,40,20)*
c(40,24,20)c(32,16,12)-t(48,40,12)+
t(32,48,20)c(32,40,20)c(24,24,20)*-
c(32,40,20)s(24,16,20)-t(32,48,28)*
s(24,24,28)c(40,16,12)s(16,32,12)+-
t(24,40,20)c(24,24,20)s(40,24,20)*-
c(40,40,20)s(16,40,20)-c(48,48,12)-
s(48,24,20)s(48,8,12)-s(16,40,12)+
s(40,48,20)c(40,40,20)*s(48,48,20)*
c(40,24,20)t(40,40,20)s(48,32,20)+*
t(24,48,20)c(32,24,20)t(24,32,28)*-
c(40,40,20)s(32,40,20)s(24,24,20)-*
s(24,48,12)c(16,32,12)+t(32,24,20)-
s(16,32,20)c(24,40,20)s(16,24,12)-*
c(32,32,20)s(48,32,20)t(40,16,12)--
s(32,40,28)c(24,48,12)-s(40,48,20)-
s(16,48,20)t(32,32,28)t(40,40,20)--
c(24,24,20)c(32,40,12)s(40,24,12)+*
s(32,40,12)t(24,24,20)t(16,24,12)++
c(24,24,20)t(32,56,12)s(40,32,28)+*
t(32,32,20)c(32,32,28)c(16,24,12)-*
s(16,48,20)c(24,40,12)-t(16,40,12)+
s(32,40,28)t(24,24,12)-t(24,48,28)*
s(16,48,20)s(32,32,28)t(24,24,12)--
s(40,40,28)c(24,32,12)c(48,40,12)+-
c(32,24,20)t(32,16,12)-t(32,32,20)-
c(24,24,20)s(32,32,20)s(40,16,20)+-
s(24,24,20)c(16,16,12)-s(24,48,20)+
s(32,24,20)s(24,16,12)-c(32,24,12)+
s(24,40,28)t(24,48,28)t(32,40,12)-*
t(32,32,28)s(24,32,28)c(32,48,12)-*
s(16,40,20)s(32,32,28)t(24,40,28)**
t(24,48,28)t(24,40,28)t(32,40,20)--
s(32,32,12)c(32,32,20)s(32,24,12)-+
c(40,40,20)t(40,32,20)t(32,32,28)*-
s(40,24,28)t(32,32,12)-s(24,32,28)-
t(24,32,28)s(40,16,12)s(48,8,12)++
s(40,40,20)c(32,24,12)-s(48,24,12)-
s(32,40,28)s(32,24,28)s(16,32,20)-*
s(32,32,20)s(48,40,20)c(40,24,20)*-
s(32,16,20)s(24,48,20)s(40,40,28)*+
s(24,40,20)s(32,32,20)s(24,40,28)**
t(32,48,12)c(24,24,20)t(32,32,20)-+
s(24,48,20)t(32,32,12)+t(32,48,28)*
t(32,48,20)c(24,32,12)-t(48,40,12)+
s(24,32,12)s(16,24,20)s(16,32,20)*+
t(24,48,28)c(16,40,12)c(32,32,12)+-
s(16,16,20)c(32,24,20)s(24,32,20)*-
s(24,24,20)t(48,48,12)+c(48,48,12)-
c(40,24,20)s(40,40,28)*s(48,24,12)+
t(32,48,28)s(40,24,12)c(32,40,20)+*
s(40,24,28)s(48,32,20)t(32,40,12)--
s(48,16,20)s(16,8,12)s(32,16,20)+*
s(48,16,12)c(32,24,12)+s(24,24,12)-
s(16,32,20)c(32,32,28)c(16,24,12)--
s(40,24,20)c(32,24,20)t(32,24,20)-+
s(24,32,28)t(32,32,12)-s(24,16,20)*
c(24,32,20)c(40,24,12)t(40,56,12)+-
c(32,24,20)t(32,48,20)-s(40,24,20)*
c(24,32,20)c(24,40,20)c(32,48,12)--
s(32,24,28)c(24,40,20)*s(16,32,20)*
t(24,40,28)s(24,32,28)*c(24,32,20)*
s(24,24,28)s(40,32,20)c(48,40,12)-*
s(40,40,28)c(32,32,20)c(16,24,12)-*
t(24,32,28)t(40,48,20)-s(40,40,28)-
c(48,40,12)s(24,32,20)+s(40,40,28)*
s(40,40,20)s(24,48,20)c(40,48,12)+*
c(32,32,20)s(24,32,20)t(40,16,12)+*
s(40,24,28)t(40,24,20)t(40,40,20)+*
c(24,24,20)t(32,16,12)-s(24,32,20)*
t(32,48,20)c(40,24,20)+t(24,24,20)-
s(40,16,20)s(24,48,12)+s(40,16,12)-
c(24,32,20)t(32,40,20)*t(16,32,12)+
s(32,40,28)s(24,24,12)c(48,40,12)+*
c(16,32,12)c(40,24,20)s(32,24,20)*+
s(24,32,28)s(40,48,20)t(32,16,12)+-
s(24,32,28)t(24,48,28)*s(40,40,12)-
s(16,24,20)s(48,32,12)+s(40,40,28)*
t(40,48,20)s(40,32,12)t(48,16,12)+-
t(32,40,28)s(40,32,20)s(48,32,20)+*
s(32,32,28)s(24,40,12)-s(48,48,20)-
s(32,32,28)s(16,32,20)-s(40,16,20)*
s(24,16,20)c(24,16,12)c(48,48,12)+*
c(32,40,20)s(48,32,12)+t(24,40,28)*
s(32,24,20)s(40,40,28)t(32,24,12)--
t(24,24,20)s(32,24,28)s(24,40,28)--
c(24,40,20)s(40,32,20)+s(24,40,20)-
t(32,40,28)s(40,16,12)+c(16,40,12)-
t(32,32,28)t(32,40,20)-c(16,40,12)-
s(48,24,20)c(24,40,20)s(16,16,20)--
c(40,16,12)s(24,32,28)+s(24,40,28)*
t(16,48,12)t(40,24,20)+s(40,32,20)*
s(24,32,20)s(24,40,20)*s(32,40,20)*
c(40,40,12)t(24,48,20)+c(40,40,20)+
t(32,32,28)t(40,24,20)-t(32,16,12)-
c(32,24,20)s(16,16,20)s(40,24,12)+-
s(32,32,28)s(40,32,12)-c(24,40,12)-
s(32,24,20)t(48,32,12)+s(24,40,20)-
s(32,32,20)s(32,40,12)-c(24,32,20)*
s(48,40,20)c(32,40,20)*s(48,24,12)-
s(32,40,20)s(16,32,20)s(32,24,20)+*
s(16,40,20)s(32,32,20)+s(40,40,20)+
s(40,24,28)c(32,40,20)*t(48,16,12)+
t(16,24,12)s(24,40,28)s(40,48,20)*+
s(32,24,12)t(32,48,28)t(16,56,12)-+
s(40,24,28)s(40,16,12)-s(16,16,20)-
c(32,32,20)t(40,32,20)t(24,48,28)--
c(40,32,20)s(40,24,12)t(16,40,12)+-
s(24,16,20)s(16,16,20)s(24,24,20)--
s(24,40,20)s(16,48,12)-s(24,32,20)*
t(48,16,12)s(48,48,12)s(40,8,12)++
s(16,24,20)s(24,32,12)c(48,24,12)++
s(32,32,28)s(32,48,20)*c(16,48,12)-
s(32,32,12)t(40,48,20)+c(24,24,12)-
s(16,32,20)s(16,16,20)c(16,16,12)--
s(24,40,28)s(32,24,20)c(24,16,12)+*
s(16,24,20)t(16,24,12)-c(24,16,12)-
s(48,32,20)c(40,40,20)*s(40,40,20)*
s(48,32,20)c(32,32,20)*s(24,16,12)+
s(24,48,20)t(32,48,28)*t(32,16,12)+
c(24,24,20)c(40,32,20)t(32,48,20)-*
t(32,24,20)s(8,48,12)+t(40,40,20)+
s(16,48,20)s(40,24,28)s(32,32,20)*-
c(24,40,20)s(32,32,12)-s(40,40,20)-
t(24,48,28)c(32,32,20)s(24,24,20)*-
c(48,16,12)t(32,40,28)+s(48,8,12)-
c(24,32,20)s(24,16,12)-s(24,48,20)+
s(16,24,20)t(24,32,12)-c(24,24,12)-
t(32,40,28)c(24,40,20)+s(40,40,20)+
t(32,24,12)c(24,32,12)+c(40,16,12)-
s(48,24,20)c(40,24,20)*t(24,32,20)+
s(32,32,28)c(32,24,20)*s(16,32,20)*
s(32,32,28)s(24,32,28)s(40,48,20)-*
s(24,40,20)s(40,32,28)t(40,24,20)--
c(32,32,20)s(24,32,20)s(24,24,20)**
c(40,40,20)c(32,16,12)c(40,32,12)+*
s(32,40,28)t(40,48,12)-t(40,24,12)-
s(24,16,20)s(24,40,20)s(24,24,20)*-
c(32,32,20)s(16,24,12)+t(24,40,20)*
s(40,40,28)t(24,48,20)-t(24,32,28)-
s(32,16,20)s(48,24,12)-c(32,32,28)*
c(24,40,12)s(40,48,20)s(48,40,20)*+
c(24,24,20)t(32,40,28)+t(24,32,28)-
c(32,48,12)s(32,48,20)t(40,48,20)*+
s(32,8,12)s(24,48,12)+c(32,32,28)*
s(24,48,20)t(40,32,20)s(16,40,20)+*
t(24,40,28)s(40,24,20)-c(16,48,12)-
t(48,56,12)s(24,40,28)+s(24,16,20)-
s(32,32,20)t(24,48,20)c(32,32,28)*-
t(32,48,28)c(40,24,20)s(24,24,20)*-
s(16,32,20)s(16,16,12)-s(16,40,20)*
s(32,40,28)s(48,40,12)-s(24,24,28)*
s(40,24,20)c(32,48,12)+t(24,40,28)*
c(24,32,20)s(24,48,20)c(24,40,20)**
s(40,32,20)c(24,40,20)s(40,32,28)**
t(48,32,12)s(32,40,20)+s(24,48,20)-
t(32,48,12)t(16,56,12)+t(40,48,12)+
c(32,32,28)t(48,16,12)t(48,24,12)+-
s(24,32,28)s(16,32,20)s(16,40,12)--
s(48,48,20)t(40,48,20)*s(40,16,20)+
s(16,8,12)s(32,48,12)+t(24,48,12)-
t(40,24,20)t(24,48,28)s(16,48,20)*+
t(32,32,28)t(32,32,12)-c(24,40,20)*
s(48,16,20)s(32,24,28)+s(32,32,28)*
s(48,16,20)s(24,24,28)t(40,24,12)--
s(32,40,28)s(32,24,20)s(40,32,28)**
s(24,40,28)c(32,40,20)*s(24,40,12)-
c(24,24,20)c(32,32,28)t(24,48,28)-*
t(24,48,28)s(32,48,20)*t(32,32,28)-
s(24,48,20)s(24,24,20)t(24,40,28)+*
s(24,24,28)t(40,40,20)t(24,32,28)+-
t(24,48,20)c(48,48,12)+c(32,32,20)*
s(48,16,20)s(32,32,28)-s(24,40,20)+
s(40,16,20)s(32,32,20)t(32,40,28)*-
s(24,32,12)t(24,48,20)s(16,32,12)-+
t(24,48,12)c(24,24,12)+s(16,40,12)+
s(32,24,28)s(40,32,20)*s(40,40,20)*
c(32,40,20)s(32,24,20)*s(24,16,20)+
c(24,40,20)t(48,24,12)+c(24,24,20)*
s(16,40,20)s(40,40,28)s(24,32,20)*-
t(24,48,28)t(32,40,28)c(40,24,20)+*
s(40,40,28)t(32,48,28)s(16,40,20)-*
c(16,24,12)c(48,48,12)+s(32,40,20)-
s(24,48,20)s(32,40,28)*s(32,24,28)-
s(40,40,28)t(32,48,28)s(32,24,20)-*
s(24,32,20)c(32,32,20)+t(32,40,12)-
t(32,48,12)t(24,32,20)+s(32,24,12)-
s(24,48,12)t(40,48,12)t(32,24,12)++
s(24,40,28)s(16,40,20)s(24,48,20)--
s(40,32,12)s(8,24,12)+t(24,32,20)-
s(40,40,12)t(40,16,12)+s(32,32,12)-
c(32,24,20)c(24,24,20)*s(40,32,20)*
c(24,40,20)s(24,40,28)t(24,24,20)-*
t(24,40,20)s(40,24,20)-t(32,48,12)+
s(40,16,20)c(32,32,28)*s(40,8,12)-
c(24,24,20)s(24,8,12)-c(32,40,20)*
s(32,48,20)c(32,32,28)s(16,16,20)*+
s(32,40,28)c(48,32,12)-s(32,32,20)-
s(40,40,28)c(24,24,20)*c(48,24,12)-
t(32,48,28)s(32,40,28)*c(24,40,20)*
s(24,32,28)t(32,40,28)s(48,48,12)-*
t(24,48,28)t(32,32,28)c(24,40,20)*-
t(40,24,20)t(32,24,12)-t(16,56,12)+
s(16,16,12)t(32,48,20)s(8,24,12)++
s(24,32,28)t(40,40,20)s(32,16,12)+*
t(32,40,28)c(32,24,20)*s(48,32,12)-
s(32,32,28)s(48,48,20)c(24,32,20)--
s(40,40,20)s(24,40,20)c(40,40,12)+*
s(16,40,20)s(16,48,20)*c(24,32,20)*
s(24,40,20)s(24,24,28)*t(40,40,20)-
c(24,24,20)c(16,16,12)-s(24,32,12)-
t(24,40,28)s(40,16,20)c(24,16,12)+-
s(32,40,28)s(24,24,20)t(24,40,28)*-
c(24,32,20)s(24,16,20)+c(32,32,28)*
c(24,24,20)s(32,48,12)s(8,24,12)+-
s(24,32,20)c(32,48,12)-c(32,24,20)*
s(48,32,20)c(16,32,12)+s(48,32,20)-
s(24,24,12)s(48,40,20)t(48,40,12)-+
s(32,24,20)t(24,24,20)s(24,16,20)*-
s(24,16,20)s(24,24,20)s(32,16,20)*-
t(32,32,28)c(32,32,20)s(32,48,20)**
t(24,40,20)t(40,40,20)s(16,40,20)--
s(48,32,12)s(40,16,20)+s(48,16,20)*
s(16,40,20)c(32,40,20)s(24,32,20)*-
s(24,24,12)s(48,8,12)+c(32,32,12)-
t(32,48,28)s(24,48,12)-t(32,48,20)-
c(32,16,12)t(32,48,20)+s(24,40,28)*
s(48,24,20)t(32,40,20)-s(48,40,12)-
s(16,16,12)t(32,24,20)+c(40,32,20)*
s(40,32,28)s(48,32,20)s(32,32,20)*-
s(32,40,20)s(32,24,12)-s(24,40,12)-
s(32,32,28)s(16,40,12)-c(32,24,20)*
s(40,32,28)c(24,40,20)t(32,32,28)*-
c(24,16,12)s(32,48,20)t(16,56,12)-+
s(40,48,20)c(32,24,20)s(24,32,28)*+
s(24,16,12)s(8,48,12)s(24,32,20)++
s(16,16,12)t(32,48,12)+c(24,40,12)+
s(32,32,28)t(24,40,20)t(24,32,28)*-
t(24,40,28)c(24,16,12)+c(40,48,12)-
t(32,40,28)s(40,48,12)-s(32,32,20)+
s(48,48,12)s(24,32,20)c(32,40,20)*+
s(40,40,28)c(32,32,20)s(40,32,20)*-
s(16,48,12)s(32,16,20)t(16,16,12)-+
s(32,40,28)t(16,56,12)t(32,40,12)+-
t(24,48,28)t(32,40,12)-c(32,32,28)+
s(24,40,28)c(32,40,20)*s(16,32,20)+
c(32,24,20)c(24,40,20)*s(8,32,12)+
t(32,48,20)t(24,40,12)s(8,16,12)++
t(32,48,20)c(24,40,20)*s(16,32,20)+
t(24,40,28)t(32,40,28)*s(40,40,12)+
s(32,32,28)t(32,40,20)-s(24,48,20)-
s(24,32,28)s(48,8,12)+c(40,48,12)-
s(24,32,28)s(32,40,28)s(48,48,20)*+
s(40,48,20)t(32,40,28)t(24,48,20)*+
c(40,40,20)c(32,40,20)s(48,16,12)+*
c(40,32,20)s(24,24,28)s(32,32,28)*+
s(24,40,28)c(16,32,12)-c(24,40,12)-
s(32,32,28)s(16,16,12)-s(32,40,12)-
s(48,48,20)s(40,48,20)c(48,32,12)-+
s(16,48,20)s(24,32,20)c(24,24,20)*+
s(24,8,12)c(24,32,20)s(24,24,20)*+
s(40,40,28)s(32,32,20)*t(24,32,20)+
c(32,24,20)s(32,48,20)s(40,32,12)--
s(32,32,28)c(24,16,12)c(24,24,12)+-
t(32,32,12)c(32,40,20)c(40,24,20)-+
t(32,48,28)s(24,32,28)*c(16,24,12)+
s(32,32,28)s(24,32,20)t(32,32,28)*-
s(48,32,20)s(40,40,20)c(24,48,12)-+
c(24,24,20)c(16,16,12)t(32,40,28)+*
s(40,48,20)t(24,48,20)+t(32,48,28)*
s(24,24,20)s(16,32,20)*s(40,40,28)+
s(24,16,20)s(32,8,12)-s(32,8,12)+
s(40,24,28)c(40,40,20)*c(16,16,12)+
c(32,40,20)t(32,40,12)-t(32,40,12)+
t(32,48,28)s(24,40,20)s(24,24,20)*-
t(40,48,12)s(48,32,20)+s(32,24,20)+
s(24,24,28)s(32,40,28)*c(40,40,12)+
s(40,8,12)s(24,40,28)+s(16,16,20)-
s(32,24,20)t(48,24,12)+c(16,16,12)-
c(48,16,12)t(32,48,28)s(32,32,28)*+
c(48,16,12)t(32,40,28)+s(24,32,28)*
t(16,40,12)s(48,48,20)+s(16,40,12)-
s(16,16,20)s(32,32,20)-s(32,48,20)+
s(40,32,28)s(32,24,28)*t(32,56,12)+
c(16,32,12)t(24,40,28)s(32,32,28)*+
s(48,16,20)c(32,32,20)c(32,48,12)-+
s(24,24,20)t(24,48,28)t(24,40,28)*+
s(32,24,28)c(16,40,12)-c(24,16,12)-
s(24,32,28)s(24,40,28)*t(24,40,28)*
s(48,16,20)t(32,24,12)-t(40,48,12)+
s(32,16,20)s(16,40,20)+s(40,24,28)*
c(24,32,20)t(40,40,20)s(40,32,20)*-
s(32,24,28)t(24,40,20)-t(40,48,20)-
t(32,40,28)c(32,32,28)t(40,32,20)-+
t(32,56,12)c(48,48,12)s(48,16,12)++
s(24,32,20)s(16,48,20)-s(16,40,20)+
s(24,32,28)s(32,32,28)c(40,40,20)*-
s(48,40,20)s(32,40,20)+c(32,32,28)*
t(24,40,20)s(8,48,12)-s(32,24,20)+
s(24,32,28)c(24,40,20)c(24,24,12)+*
s(40,32,28)c(24,16,12)t(24,32,28)+-
c(32,32,28)t(32,48,28)*s(48,8,12)+
c(24,48,12)s(32,32,28)t(24,24,20)*+
s(24,24,28)s(24,40,28)c(24,32,20)**
t(24,32,28)s(48,32,20)s(48,24,20)*-
c(24,40,20)s(32,40,28)*t(40,48,12)-
c(24,40,20)s(40,24,28)-s(32,48,12)+
s(32,40,28)s(40,32,28)s(24,24,12)-*
t(32,56,12)c(40,40,20)s(48,40,20)*+
c(40,24,20)s(16,32,20)-s(40,40,28)+
s(40,32,28)s(32,16,20)t(24,16,12)--
s(40,40,20)s(32,32,28)*t(32,40,20)+
c(32,32,20)t(32,40,28)t(40,40,20)--
s(40,16,20)c(32,24,20)*t(40,40,20)+
s(24,16,20)c(32,40,20)s(24,48,20)-+
s(40,40,28)s(32,16,20)c(32,32,28)*-
c(40,32,20)s(24,32,28)*t(48,48,12)+
c(32,40,12)s(48,32,20)s(32,32,28)*+
c(24,40,20)c(16,48,12)t(16,24,12)++
s(32,40,20)c(32,24,20)c(32,24,12)-+
s(32,40,28)s(24,16,20)-s(16,32,12)+
s(32,32,28)c(16,24,12)-c(32,40,20)*
c(40,16,12)c(24,40,20)+s(40,24,28)*
t(40,48,12)t(24,32,20)t(32,48,12)++
s(40,32,28)t(16,24,12)+s(8,16,12)+
s(24,32,28)t(24,40,28)s(32,24,28)*-
s(24,40,28)t(32,48,28)*s(24,16,12)+
s(40,24,28)t(40,24,20)-s(24,40,12)-
c(24,32,20)t(16,16,12)-s(48,32,20)-
s(32,32,20)c(48,24,12)-c(40,32,20)+
c(32,32,28)s(24,24,28)*s(32,32,28)*
t(24,16,12)t(24,32,28)s(24,40,28)*+
s(24,32,28)t(32,40,12)-t(24,48,28)-
c(24,32,20)s(32,40,28)*c(32,24,12)+
s(32,16,20)c(24,24,20)*c(40,32,20)+
c(32,32,20)c(24,40,20)-s(24,24,28)+
s(8,48,12)s(24,32,28)s(16,48,12)-+
c(32,32,28)s(24,40,28)*t(40,40,12)-
s(24,24,28)s(32,48,20)s(32,32,20)*-
c(24,40,20)s(40,48,20)s(40,40,20)*-
c(32,48,12)c(24,32,20)+t(48,16,12)+
s(24,40,28)s(40,40,28)*s(32,16,12)+
s(40,24,28)s(32,40,28)s(24,24,28)+*
s(48,24,20)s(48,40,12)t(48,48,12)++
s(24,40,28)t(32,48,12)-t(24,24,20)-
t(24,40,28)s(24,16,20)s(24,32,28)+*
c(24,24,20)s(32,24,20)*s(40,8,12)+
c(32,24,20)s(48,48,20)+c(32,32,12)-
t(32,24,20)t(40,40,20)s(48,40,20)*+
s(32,32,28)t(24,24,20)*s(32,32,20)+
c(32,32,28)c(24,40,12)c(40,40,20)+-
s(24,40,28)t(24,40,28)s(40,32,28)*-
t(32,48,28)s(48,24,20)+s(32,32,28)+
c(24,48,12)t(24,16,12)s(16,16,12)++
s(40,40,20)t(40,48,20)*t(40,24,20)+
s(40,40,28)s(24,16,20)c(32,24,20)*-
s(16,40,20)s(32,8,12)+s(32,8,12)-
s(32,40,28)c(40,48,12)-c(32,32,20)*
c(24,32,20)c(40,48,12)-t(24,24,12)-
s(24,40,28)s(24,48,20)-s(32,40,12)+
s(32,16,20)s(24,24,20)*c(48,16,12)+
t(24,32,28)t(40,32,20)t(48,32,12)--
s(16,24,12)c(32,24,20)t(32,48,20)-+
t(16,48,12)c(16,32,12)t(40,32,12)++
s(24,48,20)t(48,32,12)+s(48,40,12)+
c(40,40,20)s(40,24,28)*t(48,48,12)+
t(32,40,20)s(16,32,20)s(32,40,28)*+
c(32,40,20)c(16,24,12)c(48,48,12)+-
s(16,16,20)t(24,32,28)+s(8,32,12)-
s(40,40,20)s(24,40,12)-t(40,32,20)+
t(32,32,12)c(24,16,12)+t(40,32,20)+
s(24,32,28)s(16,32,12)-s(16,40,12)-
s(24,32,28)s(32,24,20)c(16,24,12)-+
s(48,48,12)t(32,32,28)s(24,24,28)*+
s(40,16,20)s(24,40,20)+c(40,32,20)*
c(32,16,12)c(24,24,12)s(16,16,20)++
s(24,40,28)t(24,48,28)s(32,40,20)*-
s(40,24,28)t(32,48,28)-c(40,24,20)*
c(24,24,20)t(16,24,12)-t(32,48,20)+
c(24,24,20)s(8,40,12)s(32,24,20)+*
s(40,24,28)t(40,16,12)-s(40,40,28)*
c(24,40,20)c(24,24,20)+s(24,40,20)-
t(32,24,20)t(24,48,12)+s(8,40,12)+
s(8,8,12)c(32,40,20)+s(32,24,28)*
s(32,24,28)s(32,24,12)-c(32,32,20)+
c(32,32,28)s(24,32,28)s(40,32,20)-*
c(32,40,20)s(32,40,28)c(16,48,12)-*
t(24,40,28)s(32,48,20)*c(48,24,12)+
s(40,24,28)s(32,24,28)*s(32,16,12)-
s(40,40,28)c(32,24,20)s(16,16,20)--
t(48,32,12)s(16,48,20)+t(48,16,12)+
c(40,32,20)t(32,40,28)c(24,24,20)--
c(24,32,12)t(40,16,12)+s(24,40,28)+
t(48,40,12)c(32,32,20)s(24,32,28)*+
t(40,32,20)s(24,40,20)t(24,32,28)*+
t(40,48,20)s(24,40,28)+s(40,32,28)*
t(32,40,28)s(32,48,20)+c(16,40,12)-
s(32,40,28)s(40,40,28)*s(24,40,28)*
s(24,40,12)t(16,24,12)s(48,16,20)++
c(24,24,20)t(24,40,28)c(32,40,12)--
t(24,32,20)s(40,24,20)s(40,16,20)*+
c(24,48,12)s(48,32,20)t(40,32,20)*+
c(24,32,20)s(40,24,28)-s(48,24,12)+
s(24,16,12)t(32,32,28)+c(32,24,20)*
s(16,48,20)c(24,32,20)+c(40,40,20)-
s(40,40,28)c(32,24,12)-t(32,40,12)-
s(24,48,20)s(24,8,12)+s(16,8,12)-
s(16,24,20)s(32,32,28)*c(48,40,12)+
c(32,24,20)s(40,48,20)c(32,40,20)*+
s(32,24,28)t(24,40,28)s(48,48,20)--
s(40,40,28)s(32,32,12)-s(16,32,20)+
t(24,40,28)s(32,16,20)s(24,24,20)*-
s(32,32,28)s(32,16,12)t(40,24,20)+-
s(40,32,28)c(40,40,20)s(48,24,20)*-
s(32,16,20)s(24,24,28)+t(40,32,20)-
s(16,32,20)t(48,56,12)+s(32,32,20)+
s(32,40,28)s(32,32,28)s(40,24,28)--
s(48,40,20)c(24,16,12)c(32,32,12)++
c(24,40,20)t(16,24,12)-c(40,40,12)-
t(48,16,12)t(24,24,12)t(32,40,20)++
s(24,24,28)s(32,40,12)-c(32,32,28)*
c(40,40,20)c(24,24,20)s(24,32,28)*-
c(40,40,20)t(24,32,28)t(24,40,12)--
t(40,56,12)s(40,24,20)s(32,32,28)*+
t(24,40,28)c(40,24,20)s(32,32,28)*+
s(24,40,28)c(24,32,20)c(32,24,20)*-
c(24,32,20)t(16,56,12)+c(32,32,20)*
t(24,32,28)t(48,16,12)+s(32,24,28)*
s(48,8,12)c(40,24,20)+c(32,24,20)*
s(40,16,20)s(32,24,28)c(24,24,20)*+
t(32,48,20)t(32,32,28)s(40,16,20)-+
s(32,32,28)t(24,40,28)*t(32,24,12)+
t(24,40,28)c(24,32,20)*t(40,32,20)+
s(32,24,28)s(24,24,28)*c(32,40,12)-
t(24,48,28)c(24,24,12)+s(32,16,20)-
s(40,40,28)t(48,40,12)-t(24,24,20)-
t(16,40,12)c(40,48,12)+t(40,24,20)+
c(24,24,20)s(16,32,20)*c(40,32,12)+
s(16,16,12)t(40,24,20)s(48,48,12)++
s(24,32,28)c(24,32,12)-s(40,16,12)-
t(32,40,28)t(32,32,28)*c(24,16,12)+
c(24,40,20)s(40,24,20)t(40,32,20)*-
s(24,40,28)t(32,40,28)*t(24,24,20)+
t(40,48,12)s(24,32,20)+c(24,40,20)*
s(32,40,28)t(40,40,20)s(32,40,20)*-
c(32,32,20)s(16,24,20)+c(40,16,12)-
s(24,32,28)t(32,40,28)s(40,32,28)*-
s(24,24,28)s(32,32,20)t(32,48,20)--
s(24,32,28)c(32,40,12)-c(24,48,12)-
s(48,32,20)s(16,40,20)s(24,48,20)*+
s(32,32,28)s(32,32,28)s(40,16,20)*-
t(24,40,28)c(24,32,20)*c(24,16,12)+
c(32,24,20)t(16,56,12)+s(24,8,12)-
s(32,32,20)s(16,48,12)s(24,24,12)++
t(32,40,28)c(40,32,20)s(40,16,20)*-
c(40,32,20)c(24,40,20)s(24,48,20)*-
t(32,32,20)s(16,32,20)t(24,32,28)*+
c(24,32,20)c(32,40,20)s(32,24,20)+*
s(24,48,20)t(40,40,20)+c(40,40,12)-
s(48,16,20)c(24,24,20)s(32,24,20)*+
c(32,24,20)s(16,32,12)-t(24,40,12)+
c(40,24,20)s(32,32,28)*t(16,16,12)+
c(32,24,20)c(48,48,12)+t(24,32,20)-
s(16,16,20)t(32,48,28)s(32,32,20)*+
c(40,24,20)s(48,24,20)c(32,32,12)-+
c(32,48,12)c(24,32,20)+t(32,40,28)*
c(24,32,20)s(8,24,12)-s(24,40,28)*
c(40,40,20)c(48,24,12)t(32,56,12)+-
s(24,24,28)c(24,40,20)s(32,32,12)--
t(24,32,28)c(40,32,20)t(40,32,20)-+
c(24,40,20)t(24,32,28)*s(32,24,12)+
t(32,24,20)s(24,40,28)+s(40,40,12)-
c(48,16,12)t(32,40,28)c(32,24,12)-+
c(40,32,20)c(16,32,12)t(40,16,12)+-
c(32,24,20)c(48,32,12)t(48,40,12)+-
s(16,48,12)s(24,32,28)s(40,24,20)*+
s(40,40,20)c(24,24,12)+t(16,40,12)+
t(32,32,28)t(16,56,12)+t(24,24,12)-
s(24,24,28)t(24,40,28)+s(40,24,20)-
s(40,24,28)s(24,8,12)-c(32,32,28)*
s(32,24,28)c(40,24,20)s(24,24,12)-*
s(16,32,20)c(32,32,20)c(24,24,20)*+
c(32,24,12)s(24,32,20)+c(24,24,20)*
s(8,48,12)t(32,48,28)+t(24,48,28)*
s(24,32,28)t(40,40,20)t(32,40,28)*-
t(32,48,20)s(48,32,20)-c(16,32,12)+
c(32,32,28)c(32,32,12)-c(24,40,20)-
s(40,48,20)c(40,16,12)+c(24,32,20)-
c(32,32,28)s(24,40,28)t(32,40,20)-*
c(32,40,20)t(32,40,12)t(16,16,12)+-
c(32,40,20)t(32,48,20)-t(32,40,12)+
s(16,40,20)t(16,40,12)-c(24,40,20)+
c(32,32,28)s(40,24,20)t(32,40,20)--
s(24,40,12)s(40,40,20)+t(48,48,12)-
c(32,24,20)s(40,40,28)-c(40,24,12)+
c(40,24,20)s(24,48,20)-t(24,32,20)-
s(24,48,20)s(40,48,20)-t(32,32,28)+
c(24,32,20)c(40,32,12)+s(48,16,20)-
c(32,24,20)s(32,32,28)s(32,16,12)-*
s(24,32,20)s(48,16,20)+s(16,48,20)-
c(40,40,20)c(24,24,20)s(24,16,20)--
s(40,32,28)c(32,40,20)s(32,32,28)**
s(40,24,12)t(24,40,28)c(32,40,20)*+
s(32,40,20)c(48,24,12)t(32,24,20)++
s(48,48,20)c(24,32,20)t(24,40,28)*+
s(40,24,28)c(32,32,28)s(48,32,20)--
s(8,24,12)t(16,48,12)s(48,24,12)++
s(40,24,28)s(48,8,12)-c(48,32,12)-
s(24,24,28)s(32,16,12)-s(40,24,12)-
s(24,40,28)c(24,32,20)*t(40,24,20)-
c(24,32,20)s(32,48,20)*c(32,24,20)+
s(24,40,28)t(32,40,20)-s(40,48,20)+
s(48,32,20)s(16,8,12)s(48,8,12)++
s(40,40,20)s(40,24,28)s(32,40,20)*+
s(40,24,28)t(40,56,12)+c(32,40,12)-
s(24,40,28)s(32,48,12)-t(40,24,12)-
s(32,24,28)t(48,16,12)-s(24,24,28)*
s(32,40,28)s(16,48,12)-s(32,48,12)-
t(32,40,20)t(40,56,12)+s(40,24,28)+
s(24,48,20)s(24,32,28)*s(8,8,12)+
t(24,32,12)s(24,40,28)s(32,32,20)-+
t(32,24,20)s(40,32,20)c(32,24,20)*+
t(16,32,12)c(32,24,20)s(40,32,20)*+
c(32,32,20)s(40,32,28)*s(40,40,28)*
s(32,32,28)s(32,24,28)s(24,48,12)+*
c(32,40,20)c(24,32,12)s(32,16,20)++
c(32,32,28)s(32,48,12)s(16,40,20)+*
c(40,40,20)c(32,32,20)s(32,40,20)--
s(32,32,28)s(48,48,20)s(48,48,12)-+
s(24,32,28)c(40,40,20)+s(40,24,28)*
t(24,32,28)t(32,48,20)-c(32,32,20)+
c(32,40,12)c(48,24,12)+s(24,16,20)+
c(32,32,28)t(40,24,20)-t(24,40,12)-
t(24,24,20)s(16,16,12)-t(32,40,20)+
s(40,40,28)t(32,40,20)s(24,40,20)*-
s(48,16,12)s(24,16,20)s(48,40,20)++
s(32,32,28)s(40,24,20)*s(16,40,20)+
c(32,24,20)s(24,32,20)s(32,16,12)+*
s(24,40,28)c(32,32,28)t(24,24,20)-*
s(24,24,28)c(32,32,28)s(40,40,12)-*
c(24,40,20)t(40,56,12)+c(24,32,20)*
c(32,32,28)t(40,48,20)-c(32,24,20)*
s(24,16,20)s(16,24,20)s(24,32,28)*+
s(40,24,28)c(32,32,28)*t(40,24,20)-
s(32,40,20)c(48,40,12)+t(48,40,12)-
s(40,40,28)t(32,24,12)-s(24,48,20)-
t(32,48,28)s(48,40,20)s(40,24,28)*-
c(40,40,20)s(24,24,20)c(40,24,20)*-
s(24,32,28)s(24,24,28)*c(48,32,12)+
s(24,48,20)t(24,24,20)+c(16,16,12)-
s(32,40,28)s(8,8,12)+c(32,32,20)*
s(40,40,28)s(24,32,28)*s(48,24,20)+
s(40,16,20)t(40,48,20)c(24,40,12)-+
c(32,40,20)c(32,24,20)+s(40,32,12)-
t(32,48,20)c(24,24,20)s(16,40,20)*+
s(24,48,20)s(40,48,20)*c(24,24,20)+
c(48,24,12)s(24,32,20)+s(16,48,20)-
s(24,32,28)t(32,48,20)c(24,40,20)*-
s(24,24,28)s(32,40,12)-s(16,8,12)-
c(16,16,12)s(24,24,20)s(32,40,28)*+
s(32,32,28)c(32,32,28)s(16,48,12)-*
t(40,48,20)s(24,32,20)s(16,40,20)-+
s(32,40,20)t(24,32,28)*c(16,16,12)+
c(32,32,28)t(40,40,20)-c(40,24,20)*
s(24,32,20)t(32,32,28)*c(24,24,12)+
s(32,32,20)t(24,32,28)c(32,32,12)-+
t(32,32,12)s(40,40,28)s(32,40,20)-+
s(24,24,28)c(24,32,20)*s(40,48,12)+
c(32,32,20)s(48,24,12)+s(24,24,28)*
t(32,40,28)s(16,40,20)t(40,48,20)+*
t(24,40,20)s(16,40,20)*c(40,32,20)+
s(24,24,28)c(24,32,20)c(24,32,12)--
s(32,32,28)t(24,32,28)s(48,48,20)--
t(32,56,12)s(32,24,28)s(24,40,28)*+
s(32,32,28)c(32,40,20)*c(32,32,20)*
c(24,32,20)s(48,48,12)+s(32,32,28)*
c(24,24,20)s(48,40,12)+c(32,32,12)-
s(40,32,28)s(16,16,20)-t(24,40,12)-
c(32,40,20)s(32,32,20)*s(8,48,12)+
c(32,40,20)t(16,16,12)t(32,24,20)+-
t(32,48,28)s(16,16,20)s(24,16,20)*+
s(16,48,20)s(32,24,28)t(24,32,20)-+
s(32,40,20)s(16,40,20)+t(24,32,20)-
t(32,32,12)s(24,24,12)+c(40,40,20)+
s(24,24,28)s(32,48,20)s(48,40,20)--
s(24,16,20)s(16,16,20)*s(16,32,20)+
t(40,16,12)c(24,24,20)c(24,32,20)*+
c(32,24,20)c(40,40,20)+s(48,16,20)+
c(48,32,12)t(32,32,28)t(32,48,28)*+
s(24,40,28)c(32,40,20)s(40,32,12)-*
s(40,40,28)s(24,32,20)s(32,48,12)--
c(40,32,20)s(24,48,12)c(16,32,12)+-
s(32,32,28)c(32,40,20)*t(32,40,12)-
c(24,40,20)s(24,32,20)*c(32,40,20)+
s(32,40,28)s(40,16,20)-c(32,40,20)*
c(40,40,12)s(40,16,20)c(32,32,20)*+
s(16,48,20)c(24,24,20)+t(24,48,12)-
c(24,40,20)c(32,32,28)s(16,16,20)*-
s(48,16,20)s(32,48,12)s(40,24,12)++
c(40,40,12)t(24,24,20)s(24,8,12)-+
s(24,40,28)s(32,32,20)s(16,40,20)--
c(32,40,20)t(24,48,12)-t(40,56,12)-
c(16,48,12)c(40,32,12)c(16,32,12)++
t(32,40,28)t(40,40,12)-s(32,48,20)+
s(8,32,12)c(32,40,20)+c(24,32,20)*
c(40,24,20)s(24,24,20)s(40,40,20)--
s(16,16,20)c(40,32,20)-s(32,8,12)+
t(48,40,12)s(32,16,20)+t(32,32,20)-
c(32,24,20)s(32,16,20)*s(32,32,12)+
s(16,24,20)s(40,40,20)+c(48,24,12)-
c(32,24,20)s(16,32,20)-c(48,32,12)+
c(32,40,20)c(32,24,20)s(32,16,20)*-
c(24,40,20)s(24,24,20)s(32,32,12)--
c(24,40,20)s(32,16,20)s(32,8,12)--
t(40,40,20)s(32,40,12)+s(8,48,12)+
s(40,8,12)t(40,40,12)+s(40,40,20)+
t(32,40,20)c(32,32,28)t(24,32,20)-+
s(24,40,28)c(48,16,12)+s(16,24,20)-
c(24,32,20)t(40,56,12)t(16,24,12)+-
c(32,32,20)c(32,24,20)*s(48,16,12)+
c(32,32,28)s(48,48,12)-s(24,24,20)-
s(16,16,20)s(40,24,12)+c(32,24,12)-
t(24,48,28)s(48,16,20)+t(24,32,20)-
t(40,48,20)t(32,24,20)c(48,32,12)-+
s(40,24,28)s(40,32,28)c(24,48,12)-*
s(48,48,20)c(32,32,20)s(40,48,20)*+
s(40,40,28)s(48,32,20)*c(24,32,20)+
s(32,40,28)t(40,32,20)-s(48,40,20)-
c(40,32,12)c(24,32,20)s(40,32,28)*+
s(40,48,12)s(24,32,20)+c(16,48,12)-
s(48,48,20)s(48,40,20)+s(40,24,12)-
c(24,32,20)s(48,32,20)s(32,16,20)-+
s(48,32,20)s(48,16,20)s(32,16,20)-+
s(48,40,12)c(32,24,20)+s(40,40,28)*
t(24,24,20)t(16,56,12)c(24,24,12)++
s(32,48,12)c(24,24,20)+s(24,40,28)*
t(24,24,20)t(40,24,12)t(48,48,12)++
s(32,24,28)t(24,40,28)s(32,40,12)--
t(24,48,28)t(32,48,28)s(32,40,20)+*
s(40,32,20)s(24,32,28)*s(48,48,12)+
t(32,32,28)s(16,8,12)+s(32,24,28)*
t(40,24,20)s(24,24,28)+c(24,32,20)*
t(24,40,28)s(40,24,12)t(24,24,12)+-
s(32,32,28)s(32,24,28)*s(40,16,12)-
s(32,40,28)c(40,24,12)-c(32,48,12)-
s(40,40,28)c(24,32,20)-t(40,32,20)+
t(24,48,28)s(16,32,20)+t(24,40,28)*
c(40,24,12)c(32,32,20)t(32,32,28)*+
s(16,24,12)s(32,32,28)s(40,24,20)*+
c(48,40,12)s(24,32,28)+t(32,40,20)-
s(40,40,28)t(32,48,28)*s(24,40,20)+
c(32,32,20)c(16,16,12)-c(32,40,20)*
t(32,32,28)c(32,32,28)c(16,24,12)-*
c(24,40,20)t(24,32,28)s(16,40,20)--
s(40,32,28)s(32,32,28)s(32,24,28)**
s(24,40,28)s(16,16,12)+s(16,48,12)-
s(40,48,20)c(48,48,12)-s(16,48,12)+
s(48,24,12)s(24,32,28)+s(40,32,28)*
c(32,32,28)s(48,40,20)*s(40,32,20)+
t(24,32,28)c(40,24,20)+s(40,24,12)-
s(32,32,28)c(32,24,20)*t(24,48,20)-
t(32,24,20)s(16,48,12)+s(40,16,12)+
c(32,32,12)c(24,40,12)+c(16,48,12)+
s(32,24,28)s(24,32,20)+s(24,24,20)-
c(16,24,12)c(32,32,12)t(24,40,12)++
s(32,48,20)c(32,40,20)*t(40,32,20)+
s(40,40,20)s(16,32,12)+s(32,32,28)*
c(32,32,20)t(24,48,28)*c(48,32,12)+
s(24,24,28)s(40,16,20)s(32,16,12)--
s(8,48,12)t(24,40,12)+c(24,24,12)+
s(32,32,28)s(32,40,28)c(24,24,12)-*
t(24,40,28)c(32,40,20)c(24,32,20)+*
t(32,40,20)s(24,48,20)t(48,48,12)++
s(24,40,20)s(40,32,28)+c(48,24,12)-
t(24,32,28)t(48,24,12)+t(32,32,28)*
t(24,48,20)t(32,32,28)t(32,16,12)-+
c(16,40,12)s(24,40,20)s(32,32,28)*+
t(24,40,28)t(24,48,28)s(40,32,28)+*
s(40,40,28)t(32,40,12)-t(32,48,28)+
c(24,32,20)c(40,32,12)c(48,16,12)+-
s(40,32,28)s(16,32,20)+c(32,40,20)*
s(24,40,28)s(8,48,12)-t(24,32,20)-
t(32,32,28)s(8,40,12)t(40,48,12)+-
c(32,24,20)s(16,24,20)t(16,24,12)--
s(32,48,12)s(48,16,20)s(40,32,28)*+
s(40,24,28)s(40,40,28)*c(40,48,12)-
s(24,40,20)c(32,24,12)+s(48,24,20)-
s(48,16,20)c(24,32,20)t(32,40,28)*+
s(32,32,28)t(24,40,20)s(48,40,20)--
s(32,40,20)s(32,48,20)*t(24,32,28)+
s(32,24,28)c(24,40,20)*t(48,24,12)+
s(32,24,20)s(40,40,28)*s(24,24,20)+
c(40,40,20)c(16,16,12)+s(40,24,12)-
c(32,40,12)s(32,16,20)c(24,32,20)*+
s(16,32,20)c(16,16,12)+t(32,24,20)-
c(24,32,20)t(24,24,12)-s(24,24,12)-
s(40,40,20)t(32,48,28)+s(24,40,28)*
s(24,40,20)t(24,40,28)c(24,32,20)*+
c(24,32,20)c(40,40,12)+c(24,24,20)*
t(32,40,28)t(32,48,28)+s(16,32,20)-
t(32,40,28)s(32,40,12)-c(48,16,12)+
s(24,24,28)t(32,40,28)c(32,32,20)*-
c(40,40,20)s(40,40,28)c(24,32,12)-*
s(32,32,28)t(24,32,28)*s(16,24,12)+
s(24,40,28)c(32,24,20)c(32,40,20)*-
s(40,32,28)t(32,24,20)*c(24,40,20)+
s(16,16,20)s(16,24,20)s(32,32,28)++
t(16,32,12)s(40,24,20)+c(40,24,20)*
t(40,40,20)t(32,32,28)c(40,24,20)*+
s(40,32,28)s(32,32,28)*t(40,40,12)-
c(32,40,20)c(24,24,20)-t(24,24,20)+
s(24,24,28)s(24,24,28)s(24,40,20)*-
s(32,32,28)c(32,32,28)s(32,48,12)-*
s(24,16,20)s(32,40,12)+c(40,16,12)-
s(40,32,28)s(40,40,28)c(32,32,20)+*
s(24,48,20)t(32,48,28)*t(48,48,12)+
c(32,32,28)s(32,40,20)-s(24,16,20)-
c(24,24,20)c(48,48,12)c(40,32,12)++
s(32,32,20)c(24,24,20)*s(8,40,12)+
s(24,40,28)t(32,32,12)-t(40,32,20)-
c(48,48,12)s(40,40,20)s(48,32,12)-+
s(40,32,28)s(24,24,12)-s(40,16,12)-
c(24,16,12)s(40,32,28)c(48,24,12)-+
s(32,32,28)s(16,32,20)*s(48,48,20)+
s(32,24,28)t(48,16,12)-c(40,40,12)-
c(48,32,12)s(40,24,28)c(24,40,20)*+
c(40,32,20)s(16,40,20)-t(16,16,12)+
c(40,48,12)t(32,24,20)s(24,24,20)*+
s(48,16,20)s(24,40,28)t(24,32,12)-+
s(40,16,20)c(24,24,20)*s(16,32,20)+
s(48,48,12)c(32,16,12)+c(32,32,12)+
s(40,40,28)s(32,24,20)s(48,48,12)+*
c(32,24,20)c(24,40,12)-t(40,40,12)-
t(32,40,28)c(24,32,20)s(32,16,20)*+
c(32,40,20)s(40,40,20)t(32,32,28)+*
s(32,40,28)s(40,32,28)*t(32,48,12)-
t(16,56,12)s(32,16,20)+s(16,24,20)+
s(16,48,20)s(40,24,28)-t(24,24,20)+
t(24,32,28)s(40,32,12)-t(48,56,12)+
s(32,40,28)t(24,40,28)t(40,40,20)--
t(32,40,28)c(24,24,12)+t(40,40,20)-
t(32,32,28)s(32,24,28)*s(40,40,28)+
s(16,24,12)s(32,16,20)s(40,16,20)*+
s(40,40,28)c(48,32,12)-t(40,40,12)-
c(40,40,20)t(40,48,12)-s(32,40,28)*
s(32,40,28)s(32,32,28)+c(32,24,20)*
c(32,40,20)s(24,40,20)*t(24,48,20)+
s(16,8,12)s(32,24,28)c(32,32,20)*+
s(24,40,28)s(40,24,28)*s(16,24,20)+
t(32,48,20)c(40,40,20)*s(16,24,20)+
s(32,16,12)s(24,40,20)+s(24,16,12)-
s(48,16,20)s(32,32,20)+s(32,32,28)*
c(16,16,12)c(40,32,12)t(40,56,12)++
c(32,32,28)c(40,24,12)-s(24,48,12)-
c(24,24,20)s(32,16,20)t(24,24,20)+*
c(32,24,20)c(40,40,20)*t(24,40,28)+
t(24,48,28)t(32,48,28)s(24,32,12)-+
t(48,56,12)s(32,32,20)c(40,48,12)-+
s(16,32,12)c(32,32,20)c(24,24,20)*+
c(32,32,28)s(40,40,12)-c(40,24,20)-
t(48,16,12)c(24,48,12)c(32,40,12)++
s(16,48,20)c(16,48,12)-t(24,40,20)+
s(32,24,20)t(32,56,12)+c(24,48,12)-
s(16,32,20)s(24,32,20)*t(16,56,12)+
t(16,16,12)s(48,24,20)t(32,24,12)++
c(16,48,12)c(40,40,20)+s(8,48,12)-
t(32,48,28)c(48,40,12)-s(24,32,20)+
c(32,32,28)t(32,48,28)s(24,48,20)*-
t(32,40,28)s(32,40,12)-s(16,32,12)+
c(32,32,28)s(48,32,20)-s(24,24,28)*
s(40,40,20)c(48,24,12)+c(32,32,12)-
t(16,16,12)s(40,48,12)s(8,48,12)++
s(24,32,28)t(48,56,12)s(24,48,12)+-
s(32,24,20)s(24,24,20)*s(16,16,20)+
s(16,48,20)t(32,32,28)+c(32,32,20)*
c(24,32,20)c(40,40,20)t(24,48,28)-+
s(48,40,20)s(24,24,20)+c(40,24,20)*
c(24,40,20)c(32,40,20)t(48,48,12)-+
c(24,24,12)s(48,48,20)+s(48,40,12)-
c(24,16,12)s(48,24,20)t(48,24,12)-+
t(32,40,28)s(40,32,20)*s(40,16,12)+
c(32,32,28)t(40,48,20)c(24,40,12)+-
t(24,48,20)s(48,32,20)+t(24,40,20)-
c(32,24,20)t(32,40,28)s(48,40,20)*-
s(40,24,28)s(40,32,28)*t(24,24,20)-
c(40,40,20)s(24,40,28)*s(32,24,20)+
s(32,8,12)t(24,48,28)+c(24,16,12)-
s(32,16,20)t(32,40,12)+t(32,48,20)+
s(8,32,12)s(40,32,20)s(40,32,12)-+
s(40,24,28)s(32,24,28)*t(24,40,12)-
s(32,40,28)t(24,32,28)c(24,48,12)-+
c(24,32,20)s(40,48,20)s(32,48,20)*-
t(40,40,20)s(40,32,20)c(24,24,20)*+
s(40,32,28)s(32,24,28)s(40,16,20)*-
c(40,24,20)s(40,16,20)s(24,16,20)*-
s(32,32,28)c(40,16,12)-s(48,40,12)-
s(40,40,28)c(48,32,12)-c(16,32,12)+
s(32,24,28)s(32,32,28)t(48,40,12)-*
t(32,48,28)t(24,48,28)*s(16,24,12)+
c(32,32,20)s(8,24,12)s(24,24,12)+-
s(40,32,28)s(32,24,28)c(24,32,20)*-
c(32,40,20)c(40,24,20)*t(24,32,28)+
s(24,32,28)c(32,24,12)-s(32,48,20)+
c(40,32,20)t(16,24,12)s(40,24,28)+*
c(24,32,20)s(40,24,20)*c(16,32,12)+
t(24,48,28)c(16,16,12)+t(16,48,12)-
s(40,40,28)t(32,24,20)-s(32,16,20)+
c(16,16,12)t(32,48,28)s(24,40,28)*+
s(32,40,28)s(24,16,20)-s(40,24,28)+
c(16,40,12)c(32,40,20)+s(24,24,12)-
c(48,32,12)t(32,32,28)t(32,40,28)*+
s(32,40,28)s(32,16,20)-t(32,40,12)-
t(24,48,28)t(24,24,12)s(40,48,12)+-
s(40,48,20)s(32,40,28)t(32,32,20)-+
c(40,40,12)s(40,16,20)t(40,24,20)*+
t(16,24,12)s(24,32,28)s(16,16,20)-+
t(24,56,12)c(40,24,20)+c(40,32,20)*
s(40,24,28)s(24,16,20)-s(16,40,20)-
s(32,24,12)s(40,40,20)s(32,32,28)*+
c(40,48,12)s(16,16,12)t(32,40,20)++
s(32,32,28)s(16,32,12)c(32,40,20)+*
s(32,16,20)s(48,40,20)+s(24,16,20)-
c(24,40,20)t(40,40,12)-s(40,16,20)-
s(40,24,20)s(40,32,20)s(24,32,28)*+
s(40,40,28)s(32,24,20)c(24,24,20)*-
s(24,16,12)s(32,32,20)+c(16,32,12)-
c(32,32,28)c(24,40,20)-s(24,16,20)-
c(24,32,20)c(32,32,20)*s(48,48,20)+
s(40,40,28)s(24,40,20)*c(40,32,20)+
s(8,48,12)c(24,24,20)s(32,32,28)*+
c(48,16,12)c(32,32,20)s(40,24,20)*+
s(16,32,20)s(24,40,20)*s(40,24,20)+
s(24,16,20)s(24,40,20)s(24,24,20)*+
s(48,48,20)c(24,32,20)s(40,24,20)-+
s(48,32,12)c(24,32,20)c(32,40,20)*+
s(24,24,28)s(16,48,20)s(16,16,20)+*
c(32,40,20)c(24,24,20)+s(32,32,28)*
c(32,32,28)t(32,32,12)t(16,40,12)+-
c(32,24,20)t(32,40,28)*s(48,32,20)+
s(40,24,20)s(32,24,20)*c(40,40,12)+
s(24,40,28)s(16,24,20)-s(32,40,28)*
c(32,48,12)s(32,8,12)t(24,24,12)++
t(16,16,12)s(32,32,20)+c(24,48,12)-
s(24,16,20)c(24,32,12)-c(16,16,12)+
s(32,32,28)s(48,16,20)+s(24,48,20)-
c(40,48,12)s(16,48,20)s(40,24,20)++
s(32,24,20)s(40,24,28)t(32,40,28)*+
s(40,24,28)s(24,16,12)-t(24,24,20)-
s(8,32,12)c(40,32,20)s(24,24,28)*+
s(24,40,28)t(16,24,12)-t(32,40,12)-
s(32,24,28)t(48,16,12)-c(32,32,20)*
s(40,40,20)s(32,32,28)*s(48,16,20)+
c(16,40,12)s(48,32,12)t(32,48,12)++
c(32,40,20)s(32,24,12)-c(24,24,20)+
s(32,40,28)t(16,40,12)-s(40,32,28)*
s(24,32,28)s(16,48,20)s(24,48,12)--
s(32,40,28)s(48,48,20)-c(48,32,12)-
s(24,32,28)s(40,40,20)s(40,32,20)*+
s(24,24,28)s(40,32,28)+c(40,48,12)-
c(32,32,28)c(40,40,20)s(40,32,20)*-
c(24,32,20)s(48,48,20)+t(40,48,20)-
s(40,40,28)s(40,24,28)c(32,48,12)+*
t(24,40,20)c(24,32,20)s(40,40,28)*+
s(32,40,28)s(40,40,12)-s(48,24,20)-
s(16,40,20)s(48,48,20)+t(24,48,20)-
c(32,32,28)s(48,40,20)s(24,32,20)+-
s(24,24,28)s(8,16,12)-t(40,16,12)-
c(40,24,20)t(40,48,20)-s(16,16,20)-
s(16,40,12)s(40,48,20)+s(32,40,28)*
s(32,32,28)s(24,48,20)s(32,32,28)*-
c(24,32,20)s(32,32,28)t(16,56,12)+*
s(16,24,20)s(8,40,12)-c(24,16,12)+
s(24,24,12)t(24,40,28)s(16,32,20)-+
s(32,24,28)c(32,32,20)*c(32,24,20)*
s(16,40,20)c(24,40,20)*s(24,24,28)+
c(24,40,12)t(32,32,28)s(16,40,12)-+
s(24,40,28)c(24,32,12)-c(16,32,12)-
c(40,24,20)s(32,24,28)s(40,32,28)**
c(16,32,12)s(40,32,28)+c(24,32,20)*
t(24,48,28)s(24,32,20)*s(32,48,20)+
c(24,32,20)s(32,24,28)s(40,40,20)*-
c(24,40,20)c(40,48,12)+s(32,32,28)*
c(16,16,12)t(16,56,12)t(40,48,20)++
s(24,24,20)s(48,24,12)+c(48,32,12)-
t(24,32,20)c(40,32,12)-s(40,32,28)+
s(24,40,28)s(40,48,20)s(40,48,12)--
s(48,16,12)s(16,40,20)c(16,16,12)++
s(40,24,28)c(40,32,20)*c(48,48,12)-
t(24,40,28)t(32,40,20)t(24,48,28)+*
s(16,32,20)s(32,16,20)-t(48,48,12)+
s(32,32,28)s(24,48,20)+t(32,32,28)-
s(48,16,20)s(24,24,28)s(8,16,12)-+
s(8,24,12)s(32,40,28)+c(16,40,12)-
s(32,24,28)t(32,32,28)*s(40,24,28)*
t(40,24,20)t(48,24,12)-c(24,48,12)+
s(24,32,28)c(40,24,20)*c(48,24,12)+
s(24,24,28)s(32,24,12)-t(16,16,12)-
c(32,32,20)t(48,32,12)c(16,24,12)+-
c(24,24,20)t(32,40,20)c(40,32,20)*+
c(48,48,12)c(24,32,12)+t(32,24,12)+
s(16,24,12)s(32,32,28)t(24,32,12)-+
s(32,32,20)t(40,32,12)-t(16,56,12)+
c(16,32,12)s(48,24,20)s(40,32,28)*+
t(16,32,12)s(40,32,28)c(32,40,20)-+
c(24,32,20)c(40,48,12)-s(24,24,28)*
s(24,32,28)t(40,32,12)-t(32,40,28)+
c(40,24,20)t(48,16,12)t(48,56,12)++
s(32,40,28)s(24,40,28)*s(24,32,28)*
t(32,32,28)t(32,40,20)+s(24,40,28)*
s(24,40,28)s(32,24,28)s(32,40,20)+*
s(24,16,20)s(32,40,20)s(16,24,20)-+
s(32,40,28)s(16,48,12)-c(32,40,20)*
t(24,40,28)s(48,40,20)s(48,24,12)-+
s(48,40,20)c(32,32,20)s(16,24,20)-+
s(24,24,28)s(32,40,20)s(40,32,28)*-
c(16,32,12)t(16,24,12)t(40,24,20)++
t(32,48,20)s(16,48,12)-t(32,40,28)+
s(32,40,20)c(40,24,12)-s(32,24,12)+
s(32,32,28)t(40,48,20)c(32,32,12)--
s(48,40,20)c(16,24,12)+c(48,48,12)-
c(24,24,20)t(48,24,12)+t(32,32,28)+
c(32,32,28)c(32,48,12)s(48,32,20)+-
s(40,32,28)s(16,48,12)s(16,24,20)+-
s(32,32,28)s(32,24,28)c(24,16,12)-*
s(32,32,28)t(32,40,28)s(40,32,20)*-
s(40,40,28)t(32,48,20)-s(24,32,12)-
c(24,16,12)s(8,48,12)s(48,40,20)++
s(16,32,20)s(16,16,12)-t(48,56,12)+
s(32,40,20)s(40,24,12)-c(48,24,12)+
s(32,48,20)c(24,32,12)-s(24,48,20)+
c(24,40,20)s(48,48,20)-c(32,16,12)+
s(48,32,20)s(40,40,28)*s(24,16,12)+
s(24,24,28)s(40,8,12)-s(40,24,12)-
s(40,24,28)s(48,16,12)-c(32,32,28)*
s(32,32,28)s(40,40,20)t(32,40,20)*-
s(32,48,20)c(32,24,20)-s(16,16,20)+
s(16,48,20)s(32,24,20)+s(40,32,20)-
c(32,40,20)s(32,24,28)*c(40,48,12)+
s(40,40,20)s(24,32,28)+t(16,32,12)-
s(40,16,20)c(16,24,12)c(48,48,12)++
s(48,48,12)s(40,24,28)+s(24,24,12)-
s(40,40,28)t(48,40,12)-t(32,48,20)-
s(24,24,20)s(32,32,28)*t(32,48,20)+
s(32,24,20)t(32,48,12)+c(16,16,12)-
c(32,24,20)c(32,40,20)+t(32,40,28)-
s(16,40,20)s(32,32,28)s(40,48,20)-+
c(32,24,20)s(48,32,12)+c(40,16,12)-
t(32,40,28)s(40,32,20)-s(24,8,12)+
s(24,24,28)s(24,32,28)*s(24,32,12)-
t(24,32,28)s(24,24,28)c(24,32,20)**
t(32,32,28)c(24,32,20)t(24,48,28)+*
s(40,40,28)c(32,32,28)t(24,48,20)-*
t(24,40,20)c(32,32,20)s(16,40,12)-+
c(24,24,20)t(32,32,28)-t(24,48,20)+
s(40,32,28)s(24,24,20)*s(24,32,20)+
t(24,40,28)c(32,40,12)-s(32,32,28)+
s(48,32,20)t(32,32,20)s(40,32,20)*+
c(40,24,20)c(48,32,12)-t(40,40,20)+
s(40,32,28)s(16,32,20)s(32,32,28)*-
s(40,24,28)c(32,40,20)t(40,40,12)--
t(24,48,28)s(40,32,20)s(24,32,20)*-
s(32,32,20)s(40,32,20)t(48,32,12)-+
s(24,32,28)s(32,8,12)+t(32,32,28)*
s(32,40,20)s(24,32,28)*s(24,48,20)+
s(40,32,28)s(16,40,20)c(32,40,20)*-
c(32,32,28)s(24,40,20)s(40,40,28)*-
c(32,40,20)s(16,48,12)-t(40,16,12)+
s(32,32,28)c(32,24,20)*c(16,40,12)-
s(48,32,20)c(32,24,20)*s(48,16,20)+
t(24,40,20)t(32,40,12)-s(16,16,20)+
t(32,32,28)s(48,8,12)s(16,24,20)++
s(24,24,28)s(32,8,12)s(40,8,12)+-
s(48,24,12)s(32,32,28)s(16,24,20)*+
s(48,40,20)s(48,16,20)c(32,32,20)-+
s(24,24,28)s(8,8,12)-s(24,40,28)*
c(40,24,20)s(24,40,28)s(24,40,20)--
c(24,40,20)s(32,32,28)t(48,24,12)-*
s(8,32,12)s(40,40,28)t(24,40,28)*+
t(24,48,28)s(24,24,12)+s(48,48,20)-
t(32,32,28)c(32,24,12)t(24,40,28)+*
c(16,16,12)s(24,40,20)c(16,40,12)-+
c(16,40,12)t(40,32,20)+t(32,32,28)+
t(32,32,28)s(48,40,20)t(24,40,28)+*
s(40,24,20)s(40,40,20)*t(24,32,20)+
c(32,24,20)c(40,24,20)s(32,40,20)*-
c(24,32,20)t(24,40,12)t(24,56,12)+-
c(48,24,12)t(32,48,20)+c(32,32,12)+
s(24,40,28)c(40,32,20)s(48,24,20)*-
s(24,40,28)s(24,32,28)t(32,40,20)--
s(24,24,28)s(40,32,20)*c(24,40,20)+
s(32,40,28)c(40,40,20)*s(48,16,20)-
t(24,48,20)s(8,32,12)t(48,16,12)++
s(24,40,28)t(32,48,12)-c(32,32,28)*
t(24,40,20)c(40,32,20)+c(32,40,20)*
s(32,24,28)s(32,40,20)+t(32,48,20)-
s(48,48,12)s(24,24,20)s(40,16,12)-+
s(32,32,28)t(32,24,20)t(32,48,28)--
s(24,24,28)c(40,40,12)s(16,40,12)++
s(32,32,28)t(32,16,12)-s(40,32,12)-
c(24,24,12)t(40,48,20)s(32,48,20)*+
c(16,48,12)s(8,24,12)s(24,16,12)++
c(32,24,20)s(16,24,20)t(24,16,12)--
t(24,40,28)t(40,40,20)+t(32,32,28)*
s(32,32,28)s(32,24,28)t(48,24,12)-*
s(40,40,28)t(40,48,20)s(40,16,20)+*
s(24,40,28)c(40,32,20)c(32,24,20)-+
c(24,40,20)s(32,16,20)-t(32,32,12)-
s(32,40,28)t(40,48,12)-s(24,32,12)-
s(24,24,12)s(32,32,28)s(40,40,20)*+
c(24,32,20)s(48,48,20)s(48,40,20)*-
c(32,24,20)c(24,24,12)-s(32,32,20)+
t(40,48,20)s(32,24,20)+s(32,40,28)*
s(16,48,20)c(24,40,20)s(40,40,28)*+
s(24,40,28)t(40,40,20)+t(32,24,20)-
s(24,24,28)t(16,16,12)s(16,40,20)+-
s(32,32,20)c(32,32,20)s(40,16,20)-+
t(32,48,28)c(16,40,12)-t(48,16,12)+
s(40,40,28)c(24,24,12)-s(40,48,12)-
s(24,32,28)c(24,16,12)-s(8,24,12)-
s(40,40,28)s(24,16,12)t(40,32,12)+-
c(48,48,12)s(24,40,20)+c(32,32,28)*
s(40,32,28)t(32,32,28)*s(8,24,12)+
s(40,16,20)s(16,16,20)-s(40,48,12)+
s(24,24,28)s(40,24,20)t(24,48,12)+-
s(40,40,20)c(32,24,12)-s(32,8,12)+
c(24,32,20)c(32,32,28)s(16,48,20)*-
t(40,24,20)t(32,40,28)+s(16,40,20)-
c(40,40,20)t(32,24,20)+t(32,40,28)*
s(32,32,28)s(32,40,12)-s(32,24,28)*
s(32,40,28)c(32,32,20)*c(32,40,20)*
c(24,24,20)s(16,32,20)*t(24,48,20)+
t(32,32,28)s(40,32,28)s(48,24,20)+*
s(16,32,20)c(48,40,12)+t(40,32,20)+
s(32,48,20)t(32,40,28)*c(32,32,20)+
t(40,24,20)s(40,48,20)s(48,48,20)*+
s(24,24,28)t(48,32,12)+s(32,40,28)*
s(32,24,28)c(40,24,20)*t(32,40,20)+
s(40,48,20)t(40,24,12)+c(40,40,20)*
s(40,24,20)c(24,40,20)t(24,32,20)-+
t(40,48,12)c(24,40,12)+t(16,16,12)+
c(32,32,28)s(32,48,20)-c(40,24,20)*
c(32,32,28)s(24,32,28)s(24,40,28)*-
t(24,32,20)c(32,48,12)+t(40,32,20)+
c(40,32,20)c(32,32,28)s(32,16,20)-*
s(40,24,28)t(32,40,28)-t(32,40,28)+
s(16,40,20)s(16,24,20)-c(16,32,12)+
t(32,48,20)s(40,24,28)s(24,24,28)-+
c(32,32,28)t(32,40,28)-s(16,40,20)-
t(32,48,20)c(32,16,12)c(24,48,12)++
t(40,16,12)t(32,24,20)+c(40,48,12)+
s(40,40,28)c(32,32,20)t(32,32,28)*-
t(32,32,20)s(32,48,20)+s(16,24,20)-
c(16,16,12)c(24,32,20)c(16,48,12)-+
s(32,40,28)c(40,24,20)s(40,40,20)++
t(32,56,12)s(24,40,12)s(48,48,12)++
c(40,40,20)s(16,48,12)+s(40,32,28)*
c(32,24,20)t(40,32,12)-s(48,48,12)+
c(32,32,28)s(16,40,20)s(16,32,20)+*
s(16,8,12)t(48,24,12)+s(24,32,12)+
c(32,32,20)s(24,32,28)*s(32,48,12)-
s(16,16,12)t(40,32,20)s(16,24,12)++
c(48,40,12)s(24,40,28)t(32,32,20)*+
s(48,24,20)s(40,40,28)*c(16,24,12)+
s(16,40,12)s(40,16,20)c(32,24,20)*+
s(32,32,28)s(24,8,12)s(24,40,12)++
s(24,16,20)s(40,32,20)+t(32,24,12)-
s(24,40,20)c(16,24,12)-t(48,24,12)+
s(32,40,28)t(40,40,12)-s(16,48,12)-
s(40,24,28)s(32,24,28)*s(24,32,12)-
s(8,32,12)c(40,32,20)+s(32,32,20)-
s(24,40,28)t(24,40,20)t(40,40,12)+-
s(40,40,28)c(32,40,20)+c(40,32,20)*
t(24,40,28)c(32,24,20)s(32,16,20)*-
s(16,24,20)s(32,24,28)s(32,40,28)*+
t(48,24,12)t(32,40,28)c(32,40,20)*+
s(40,32,28)t(40,24,12)-t(48,32,12)-
s(24,24,28)c(24,40,12)-t(48,48,12)+
c(48,16,12)s(24,48,20)+c(40,24,12)-
s(24,40,28)t(40,24,20)-s(32,24,28)-
s(24,24,20)t(24,32,28)*s(48,32,20)+
t(24,48,28)c(32,40,20)s(48,32,20)*+
s(32,24,28)s(24,40,28)*s(8,48,12)+
t(24,40,28)t(24,32,12)-s(32,40,20)+
s(40,40,28)c(24,24,12)c(40,24,12)+-
s(24,32,28)t(16,40,12)-s(32,32,12)-
c(40,24,20)s(32,40,20)s(24,32,20)*-
s(48,40,12)c(32,40,12)c(16,40,12)++
t(32,24,20)s(16,48,20)c(16,48,12)-+
t(32,40,28)t(32,24,12)s(32,48,20)+*
s(32,40,28)c(40,48,12)-s(24,32,28)*
t(24,56,12)s(40,32,28)+c(32,16,12)-
c(32,40,20)s(8,16,12)t(48,40,12)+-
c(32,32,28)s(48,40,20)s(48,32,20)*-
s(32,32,28)s(24,48,20)s(16,32,20)--
s(24,32,20)s(32,32,20)*s(32,16,20)+
s(32,24,28)s(32,32,28)*s(40,32,28)*
c(32,24,20)t(40,56,12)s(48,32,12)+-
c(32,40,12)c(40,16,12)s(8,24,12)++
s(40,24,28)c(32,32,20)*s(24,48,20)+
s(40,24,28)s(32,24,28)c(32,16,12)-*
t(16,56,12)c(24,24,20)s(32,16,20)*+
c(24,32,20)s(40,40,20)s(24,40,20)*-
t(40,40,20)t(24,32,20)c(32,24,20)*+
s(48,32,20)s(16,40,20)s(32,16,12)++
c(40,40,20)t(24,48,20)+t(32,32,28)+
c(32,32,28)s(32,40,12)s(32,48,12)+-
c(32,32,20)s(24,40,28)s(24,32,28)**
s(24,40,20)s(8,24,12)+s(8,48,12)+
s(32,16,20)t(32,40,12)+c(32,32,28)*
c(24,24,20)t(24,40,20)t(16,48,12)--
s(24,40,28)s(40,32,12)-t(24,48,28)*
c(24,32,20)c(32,48,12)-t(24,32,28)+
c(40,24,20)s(32,16,20)*s(40,40,20)+
t(16,56,12)s(40,40,28)c(32,40,20)*+
s(24,32,28)s(40,32,12)-c(24,40,20)*
s(24,32,28)c(40,48,12)-t(16,16,12)-
s(48,48,20)t(24,24,20)s(24,40,28)*+
s(16,48,20)s(40,32,20)s(40,48,20)*+
t(40,32,12)s(24,40,28)s(16,48,20)*+
s(24,32,28)s(32,24,28)s(24,24,28)**
s(32,40,28)s(16,48,20)t(24,40,28)*-
s(24,24,28)c(32,32,28)t(24,48,28)*-
t(24,40,28)t(32,48,20)+s(24,40,12)-
s(24,32,28)t(32,24,12)-t(40,24,20)-
t(24,48,28)s(16,8,12)+c(32,32,28)*
c(40,32,20)s(24,40,12)s(16,8,12)+-
s(40,40,28)s(40,24,28)c(32,24,20)*-
c(32,32,28)s(16,48,12)-s(24,32,28)*
c(24,24,20)s(40,24,28)*s(48,16,12)+
s(48,40,20)t(48,24,12)-s(40,32,20)+
s(32,40,12)s(32,24,28)t(24,32,28)-+
t(24,32,28)s(24,48,20)s(24,24,20)-+
s(32,32,28)c(40,40,12)t(24,48,20)+-
s(32,24,28)s(40,16,20)s(48,16,20)*-
s(24,40,28)c(32,40,20)t(40,16,12)+*
s(24,24,28)s(40,24,12)t(16,32,12)+-
s(32,32,28)s(24,40,28)c(32,24,20)*-
t(24,32,28)s(40,16,20)c(32,32,20)*-
c(32,24,12)s(32,48,20)+t(24,48,12)-
s(16,48,20)s(40,24,28)t(48,24,12)-+
s(32,32,28)c(32,32,28)s(48,48,12)-*
s(24,40,28)t(24,48,28)*t(16,24,12)+
c(40,32,20)s(48,48,12)-s(40,40,28)*
c(40,40,20)c(40,24,12)+t(32,40,28)*
s(32,40,28)t(16,32,12)-t(32,40,12)-
s(40,32,28)s(24,32,28)c(32,40,20)--
s(48,48,20)s(40,48,20)*c(24,32,20)+
c(32,32,28)s(24,48,20)-s(32,16,20)-
s(48,8,12)c(24,40,20)+c(40,24,20)-
c(24,24,20)t(24,24,12)-s(16,16,20)+
c(32,32,28)t(32,32,20)s(32,24,20)*-
s(40,40,28)t(24,40,20)t(32,56,12)+-
t(40,56,12)s(24,40,20)+s(16,24,12)-
s(16,16,20)t(24,24,12)-s(8,32,12)+
t(40,24,20)t(32,40,28)c(40,24,12)-+
s(24,40,28)c(24,32,20)s(16,40,20)+*
s(32,40,28)t(40,48,12)s(40,32,12)+-
s(16,24,20)t(32,24,12)+c(32,32,28)*
c(48,48,12)c(40,40,20)t(40,48,12)-+
c(32,32,28)s(32,40,20)-s(40,24,20)-
c(32,32,28)s(24,40,28)t(40,32,20)+-
c(32,32,28)s(48,40,20)-s(16,16,12)-
s(32,40,28)s(16,40,20)t(40,32,20)+*
s(16,48,20)t(32,32,28)-t(24,48,20)+
c(48,32,12)c(24,32,20)s(24,24,20)*+
s(40,24,20)c(16,24,12)+t(24,40,20)-
c(16,48,12)t(24,48,28)t(32,32,28)-+
c(32,32,20)s(16,48,20)+c(32,24,20)*
c(32,32,28)t(32,40,20)-c(40,24,20)*
s(48,48,20)c(40,24,20)t(24,24,12)-+
c(32,40,20)c(16,48,12)+s(16,40,12)-
s(24,16,20)t(40,56,12)+s(24,24,12)-
s(24,24,12)s(48,24,20)c(48,32,12)-+
t(32,40,28)c(32,16,12)+c(40,40,20)*
c(32,32,28)c(48,32,12)-s(48,32,12)+
c(32,32,28)c(24,24,12)-c(32,32,20)*
c(40,40,12)s(32,24,12)+c(40,24,20)+
s(32,24,28)t(32,32,20)-s(48,32,20)+
c(32,32,28)s(24,16,12)-c(16,24,12)-
s(32,32,28)t(32,24,12)-s(40,40,28)*
s(32,24,28)s(40,40,20)c(24,32,20)*-
s(24,32,28)s(40,40,28)s(32,24,20)*-
t(32,24,20)c(40,40,20)+s(32,16,12)-
s(24,48,20)c(24,32,20)+t(32,40,28)*
c(32,32,20)t(48,32,12)-s(16,40,12)-
t(24,48,28)s(48,24,12)t(32,32,20)+-
s(32,40,12)t(32,48,28)s(40,32,20)-+
c(40,24,20)s(40,32,28)s(24,32,20)-+
s(40,40,28)s(24,32,28)*s(24,24,12)+
c(16,24,12)s(40,32,12)+s(48,40,20)+
c(24,40,20)c(40,24,20)s(24,40,28)*-
c(24,32,20)c(40,16,12)-t(32,48,20)+
c(32,32,20)s(32,32,20)c(32,16,12)+*
s(32,40,28)c(16,24,12)-s(24,32,12)-
s(40,40,28)c(32,32,20)c(24,24,20)+*
s(40,32,28)t(40,40,12)-s(32,48,12)-
s(40,24,28)c(32,32,28)c(16,16,12)-*
s(32,24,28)c(40,24,20)*t(32,16,12)-
t(40,24,20)s(32,32,28)*s(16,24,20)+
c(24,48,12)c(24,32,20)+t(40,24,20)-
s(40,16,20)c(40,40,12)s(16,32,20)++
c(32,32,28)t(24,32,28)s(40,40,28)*-
c(32,32,28)s(24,48,12)-t(48,40,12)-
s(40,40,28)s(24,32,28)-c(32,48,12)+
s(40,32,28)s(48,32,20)-t(24,48,28)+
c(32,48,12)t(40,24,20)t(24,24,20)++
s(40,24,28)s(40,40,20)c(24,32,20)*-
c(48,16,12)s(40,48,20)+c(24,40,12)-
s(40,32,28)s(40,16,20)s(40,40,12)+*
t(16,40,12)s(32,16,20)+s(32,40,20)-
s(32,32,20)t(24,56,12)+s(32,32,28)*
t(40,16,12)s(24,40,28)t(24,48,28)-+
t(24,32,28)t(32,32,20)*s(48,16,20)+
s(32,16,20)s(48,16,12)-t(40,48,20)+
s(24,24,20)s(40,40,20)+t(32,40,20)-
c(40,24,12)t(32,48,28)+t(32,32,20)+
s(48,40,20)t(40,40,12)-s(48,32,20)+
s(32,32,28)t(32,48,28)*s(48,16,12)+
s(40,32,28)s(24,32,20)s(8,40,12)--
c(32,40,20)s(40,40,28)t(48,40,12)-*
c(40,24,20)t(24,56,12)+s(24,24,12)-
t(32,40,28)s(8,24,12)+s(32,40,28)*
t(24,32,28)s(40,32,28)+s(24,24,28)*
c(32,24,20)s(32,48,12)+s(40,48,12)-
c(24,24,20)t(24,24,20)-c(40,24,20)+
s(40,16,20)s(16,16,12)+c(40,32,12)-
t(32,32,28)c(32,32,12)-t(24,32,28)+
c(32,40,20)s(32,40,28)t(48,32,12)-*
c(32,32,28)s(40,48,20)*c(16,32,12)+
s(40,40,20)c(32,16,12)+t(32,32,28)*
c(32,32,28)c(24,40,12)-t(24,48,20)+
s(24,32,28)s(8,24,12)-s(40,32,28)*
s(24,32,20)t(24,24,20)*s(40,40,20)+
s(40,32,28)s(48,24,20)s(40,8,12)++
t(32,32,28)t(40,56,12)s(16,24,12)++
c(24,24,20)c(32,32,28)c(24,24,12)-+
t(32,48,20)c(40,24,20)t(40,40,20)-+
c(40,24,20)c(24,32,20)s(24,40,20)*-
c(24,32,20)c(48,32,12)t(16,32,12)+-
c(32,32,20)t(24,40,28)*s(48,40,12)+
s(32,32,28)t(24,56,12)+t(32,32,12)-
c(24,24,20)s(32,16,20)c(24,32,20)*-
t(24,40,28)s(48,32,20)c(32,16,12)-+
c(24,24,20)t(32,40,20)t(32,24,12)-+
t(24,48,20)c(24,24,20)-c(16,24,12)+
c(32,24,20)c(24,32,20)+s(32,32,28)*
s(16,48,20)t(32,32,20)c(40,40,20)*+
s(24,40,28)c(40,24,20)t(24,40,28)+*
s(40,40,28)t(24,40,28)s(48,32,20)+*
s(40,40,28)c(32,24,20)t(24,32,28)*-
s(32,32,28)t(16,32,12)-s(16,48,12)-
c(24,24,20)s(32,40,28)+t(40,32,20)-
c(40,32,20)t(24,48,28)+s(24,32,20)-
s(40,40,28)s(48,48,20)t(40,40,12)--
s(40,48,20)s(24,48,20)*c(32,32,20)+
s(32,24,28)t(16,16,12)-s(40,32,28)*
s(48,32,20)s(48,16,20)*t(24,40,20)+
s(32,40,28)s(40,40,20)s(32,48,20)--
c(32,32,20)s(32,16,12)-s(32,16,20)+
t(24,40,28)s(48,24,12)t(24,48,12)+-
c(32,32,28)s(48,48,20)-s(16,48,12)-
s(40,32,28)s(32,48,20)t(40,32,20)-+
c(16,48,12)s(24,24,28)+s(32,24,12)-
s(32,40,28)s(40,24,20)c(24,40,12)+*
s(32,24,28)s(16,40,20)-s(24,24,28)*
s(24,32,28)s(32,32,28)*c(32,40,12)-
t(32,32,28)s(32,40,20)c(32,32,20)*+
c(48,16,12)c(32,40,20)+s(40,48,20)-
c(24,32,20)s(32,24,20)c(24,40,20)*-
s(40,40,28)t(24,32,28)*c(16,48,12)+
c(24,32,20)s(24,24,28)s(32,24,28)**
c(32,40,20)t(24,24,20)s(24,48,20)+*
c(32,32,28)t(24,32,20)-s(32,32,20)-
c(16,32,12)t(24,56,12)+s(48,40,20)+
s(48,32,20)c(32,32,28)*c(40,24,20)+
s(16,24,12)t(24,40,28)+c(24,32,20)*
s(16,48,20)s(40,48,12)+s(24,24,28)+
s(48,24,20)t(16,56,12)+s(48,16,12)-
t(32,40,28)c(32,32,20)c(48,32,12)-+
s(40,24,12)s(40,48,20)+s(16,40,12)+
s(16,16,20)s(32,24,28)+c(40,40,20)-
s(24,32,28)s(32,24,20)t(48,40,12)++
s(40,32,28)s(48,16,20)s(24,40,28)--
s(40,40,28)s(16,48,20)-s(16,32,20)-
c(40,40,12)s(32,24,20)s(24,48,20)-+
t(24,40,28)t(40,24,20)-c(40,32,20)+
c(40,40,20)s(40,32,28)s(24,48,12)-*
t(32,32,12)s(16,16,20)+s(24,24,28)*
s(40,32,28)s(32,40,20)c(40,32,20)*-
t(48,56,12)t(24,40,28)+c(24,48,12)-
s(32,24,28)s(16,32,20)s(24,32,20)*-
c(32,32,28)s(32,40,20)-s(32,32,20)+
s(40,40,28)t(40,48,12)t(48,56,12)+-
s(48,48,12)c(32,24,20)c(40,32,20)*+
s(40,32,28)c(48,40,12)-s(40,24,28)*
c(48,48,12)s(40,16,20)+t(40,48,12)-
c(40,40,12)t(24,32,28)s(40,24,28)-+
s(32,32,28)s(40,32,28)s(24,40,28)*-
t(32,40,12)s(16,32,20)s(24,24,28)*+
t(32,48,20)t(24,24,20)c(32,32,20)*+
s(8,16,12)s(40,32,20)s(24,32,12)-+
s(24,40,28)t(32,48,28)s(16,32,12)+*
s(48,16,20)s(24,16,20)-s(16,8,12)+
c(40,40,12)s(16,40,20)c(24,24,20)*+
c(40,32,20)t(24,40,28)s(40,48,20)--
c(32,40,20)t(48,24,12)c(16,32,12)+-
s(24,24,28)s(32,24,28)*t(24,32,28)*
s(16,48,20)s(40,24,20)+s(40,32,28)*
s(24,40,20)s(40,32,28)*s(48,32,20)+
s(40,24,28)s(40,32,12)-s(32,16,12)-
s(32,24,28)s(24,24,28)s(32,32,20)*-
c(32,32,20)c(40,32,20)+s(40,32,12)-
s(24,32,28)s(24,48,12)s(32,24,28)+*
s(40,32,28)t(32,40,20)-t(16,48,12)+
t(24,40,20)s(32,40,28)c(40,40,20)*+
t(24,40,28)s(24,32,28)t(16,24,12)-*
t(32,40,20)s(24,32,12)-t(40,32,20)+
s(40,24,28)s(32,32,12)-s(48,40,12)-
c(48,48,12)s(32,40,12)t(32,48,20)++
s(48,32,20)c(32,24,20)-c(16,24,12)+
t(32,48,28)c(32,32,20)+c(40,40,20)*
s(40,16,20)c(32,32,20)-s(16,32,20)+
t(32,48,28)t(24,16,12)+s(48,40,20)-
c(40,40,20)s(40,24,12)s(16,16,20)+-
t(24,48,20)s(40,32,28)s(32,40,20)*+
s(40,24,28)s(24,24,28)*c(16,16,12)-
s(40,32,20)s(24,48,20)+s(40,24,20)-
c(24,40,12)s(40,24,28)s(32,24,12)-+
t(32,24,20)t(24,40,28)+c(24,40,20)*
s(48,8,12)t(32,24,20)+c(16,24,12)+
s(32,32,28)c(24,24,20)c(24,32,20)**
t(32,32,20)s(32,40,20)s(32,16,20)-+
c(48,48,12)c(32,24,20)+c(48,16,12)-
c(32,40,20)s(24,48,20)t(40,48,20)--
s(48,32,20)s(48,24,20)*c(40,16,12)+
s(8,40,12)s(24,40,20)s(24,32,20)*+
s(32,40,28)s(16,40,20)s(16,24,20)*-
c(32,24,20)c(32,32,28)s(40,24,28)**
s(32,16,20)c(32,24,12)t(32,32,20)++
t(24,32,20)s(32,24,20)s(40,24,20)*+
s(32,24,28)t(32,40,20)+s(24,32,12)-
s(32,40,20)t(24,40,12)-s(24,16,12)+
c(40,24,20)s(16,24,20)s(8,40,12)--
s(40,32,28)c(32,24,20)c(24,40,20)+*
s(48,16,20)s(32,24,28)*s(24,24,28)+
c(32,32,28)t(24,48,28)*c(48,40,12)+
t(24,48,20)s(48,40,20)+s(32,40,28)*
t(16,48,12)s(32,48,20)s(48,40,12)-+
s(40,32,20)t(24,32,20)+s(24,24,28)*
s(24,32,28)t(32,24,20)*c(16,16,12)+
c(32,24,20)t(32,32,28)*s(48,48,20)+
s(40,24,28)c(32,24,20)c(40,40,20)--
s(48,40,12)s(32,24,20)+s(32,32,28)*
t(32,40,28)c(16,40,12)+s(24,24,20)+
s(24,32,28)s(16,32,20)c(48,16,12)+*
s(24,32,28)t(24,40,12)-s(24,40,28)*
t(32,32,28)s(32,32,28)s(40,24,28)*+
c(24,24,12)c(16,40,12)c(24,16,12)++
t(32,48,28)s(32,24,20)-c(16,24,12)+
c(16,24,12)s(16,40,20)+c(32,32,28)*
s(24,24,28)t(24,40,12)s(24,48,12)++
c(40,40,20)s(24,8,12)c(32,40,20)+*
c(32,24,12)t(32,48,20)+c(48,16,12)+
c(32,24,20)s(16,16,20)+s(48,16,12)-
t(40,32,12)s(16,32,20)+t(40,24,20)-
s(40,24,28)s(32,16,20)s(16,16,20)*-
s(32,32,28)c(40,40,20)s(24,40,28)*-
t(24,48,28)t(40,24,20)+c(24,40,20)*
t(24,40,20)c(16,48,12)+s(24,32,20)+
s(40,32,20)s(40,16,20)+t(24,40,28)-
c(24,48,12)c(24,24,20)+s(24,32,12)-
t(48,48,12)s(16,48,20)+c(48,48,12)-
s(16,24,20)t(32,24,20)-s(40,16,12)+
s(40,24,28)t(40,24,20)-c(32,48,12)+
s(24,24,28)c(40,40,12)-c(32,40,20)+
s(32,32,28)c(16,24,12)-t(48,48,12)-
c(32,32,28)c(32,32,28)c(32,40,20)--
c(24,40,20)c(40,32,12)s(32,16,20)+-
s(24,40,28)c(32,32,28)*s(32,32,28)*
t(24,40,12)s(40,40,20)+s(40,32,28)*
c(32,32,28)s(32,16,20)*t(24,48,12)+
s(32,40,28)s(40,32,12)s(48,48,20)+-
s(24,40,20)s(40,24,28)t(16,48,12)++
c(24,32,20)t(24,48,12)-c(48,48,12)+
c(24,24,20)t(40,32,20)t(32,32,12)+-
s(24,24,28)c(24,24,12)-t(32,16,12)-
s(24,40,28)c(24,32,20)c(32,32,20)**
c(32,32,28)s(24,24,20)c(40,48,12)+-
t(48,40,12)s(24,40,28)s(16,48,20)-+
c(32,24,20)s(16,32,20)c(24,24,20)*+
s(16,32,12)s(32,24,20)+t(16,24,12)-
s(24,24,28)s(32,40,20)s(40,40,12)-+
s(48,32,20)t(32,40,20)t(32,32,28)*+
s(16,40,20)s(32,16,20)t(24,56,12)++
s(24,40,28)s(40,48,20)c(40,40,20)*-
s(40,40,28)t(24,24,20)-t(24,40,28)-
c(32,32,20)s(8,32,12)+s(32,24,28)*
c(24,32,20)s(24,24,28)c(40,48,12)+*
s(24,24,28)t(24,40,20)s(32,40,20)*-
s(40,24,28)s(32,40,20)s(16,40,20)*-
c(48,32,12)s(32,32,20)t(24,32,12)-+
s(32,40,20)c(40,32,20)*s(8,48,12)+
s(48,16,20)s(8,32,12)+s(40,16,12)-
s(48,40,20)c(16,24,12)+c(48,32,12)-
s(40,16,12)t(16,32,12)s(24,16,20)++
c(24,24,20)c(32,32,28)s(24,40,12)-*
t(32,48,20)s(32,32,28)s(40,16,20)*+
s(24,40,28)s(32,24,20)t(40,24,20)-+
s(40,32,28)s(32,32,20)t(32,24,12)--
s(40,40,28)t(32,48,20)t(32,40,28)*-
s(40,32,28)c(32,24,20)c(32,40,20)*-
s(40,32,20)s(16,16,20)+t(40,48,20)-
s(32,40,28)s(24,32,20)+s(40,40,12)-
t(40,24,20)s(32,32,28)s(24,40,20)*+
c(32,40,20)s(32,24,28)t(40,32,12)-+
s(32,24,28)c(16,40,12)+c(24,40,20)*
c(24,24,20)s(24,32,28)s(8,16,12)-*
c(24,32,20)s(24,24,28)s(40,48,20)-*
t(32,32,28)s(24,24,12)-s(8,32,12)+
t(32,40,20)t(48,48,12)s(48,32,12)++
t(32,48,28)s(48,48,20)+t(40,24,12)+
c(32,24,20)s(24,40,12)+s(48,40,20)-
s(24,32,28)s(8,32,12)-t(32,32,12)-
c(32,32,28)s(40,40,28)c(32,40,12)-*
s(24,40,20)s(16,16,12)+c(24,32,20)*
c(32,24,20)s(32,48,20)s(40,48,20)*-
s(8,16,12)c(32,32,20)+s(40,32,12)-
s(32,48,12)s(32,32,28)c(32,24,20)*+
s(32,48,20)s(32,40,20)+t(32,56,12)-
s(32,16,20)s(16,48,12)+t(40,16,12)-
t(24,48,28)s(32,32,28)*s(48,24,12)+
c(40,32,12)s(24,24,20)+c(32,32,20)*
s(32,32,20)s(40,24,20)+t(32,32,28)*
t(24,32,28)t(40,40,20)+t(32,48,20)-
s(24,40,28)s(32,48,20)*s(32,32,20)+
t(24,24,12)t(40,56,12)+t(32,32,28)+
s(16,24,12)c(40,24,20)+s(32,40,20)-
s(40,24,28)c(32,48,12)+c(24,32,12)-
t(24,40,28)s(40,16,20)c(32,40,12)++
s(32,16,12)t(48,24,12)c(16,40,12)++
t(32,32,20)s(16,40,20)t(24,32,28)*+
c(40,40,20)s(24,40,28)s(32,32,28)+*
s(48,32,12)t(32,40,28)+s(16,24,20)-
c(24,40,12)s(40,24,20)s(40,8,12)++
s(32,24,28)t(32,32,28)c(24,24,12)--
s(24,40,28)t(32,48,20)t(24,40,28)*-
s(16,48,20)s(32,24,12)+s(48,48,20)+
s(24,32,28)s(40,24,28)s(32,32,12)--
c(40,32,20)c(24,24,20)s(32,24,12)-+
s(40,40,28)s(40,32,28)*s(40,8,12)+
s(16,32,20)c(24,24,20)*s(24,16,12)+
t(24,32,28)s(32,40,28)s(16,40,20)*+
c(40,40,20)c(32,40,20)+t(24,24,20)-
s(48,16,20)s(32,32,28)-s(16,40,20)+
s(8,16,12)c(24,32,12)c(40,40,12)++
c(32,32,20)c(24,24,20)*t(32,40,28)+
s(40,24,28)s(40,24,20)c(16,40,12)+*
s(24,32,28)s(32,40,28)s(48,32,20)*-
t(40,24,20)s(8,16,12)c(16,40,12)++
t(32,48,28)s(40,32,28)-s(48,32,12)+
s(24,16,20)s(24,32,28)*c(24,40,20)+
s(24,32,28)t(24,24,20)c(40,32,12)--
t(40,40,20)t(24,48,20)+c(32,40,20)*
c(40,32,12)s(24,16,20)+t(24,40,28)-
s(24,24,28)s(32,32,12)-t(24,24,12)-
s(40,24,28)s(40,32,28)*s(32,24,28)*
t(48,56,12)t(24,48,20)t(24,40,20)++
c(40,40,20)s(24,16,20)s(16,24,20)*+
t(24,48,28)c(32,40,20)*c(16,48,12)+
s(40,40,20)c(24,32,12)-s(8,16,12)+
c(40,40,12)s(32,24,20)s(16,24,20)*+
s(32,40,28)s(48,24,20)t(32,48,28)+*
s(16,48,12)c(32,24,20)c(32,32,20)*+
s(40,32,28)s(40,16,20)*c(48,48,12)+
s(32,8,12)c(32,48,12)+s(32,16,12)+
c(48,24,12)s(48,8,12)c(40,24,12)++
t(48,56,12)s(32,32,20)+c(24,32,20)+
s(24,24,28)t(24,40,28)s(32,40,20)*-
s(32,40,12)s(40,32,20)s(40,24,20)*+
s(32,32,28)t(16,16,12)s(32,24,20)+*
s(16,32,20)t(24,32,28)+s(24,32,12)-
t(32,40,28)s(16,48,20)c(24,32,20)+*
s(32,24,28)c(32,40,20)s(48,48,20)*-
s(32,24,28)c(40,40,20)s(24,40,20)*-
c(32,24,20)s(16,24,12)-s(16,16,12)+
c(40,32,20)s(40,16,20)*t(24,48,28)+
s(32,40,28)t(32,40,20)-t(16,56,12)-
c(24,24,20)t(32,32,28)*t(16,56,12)+
c(16,48,12)t(24,24,12)+c(40,48,12)+
s(16,24,20)c(24,32,20)*s(40,40,12)+
s(48,40,12)s(32,32,20)s(32,40,20)*+
c(48,16,12)c(24,24,20)s(40,24,20)-+
s(32,24,20)s(8,24,12)+s(40,16,12)-
t(32,40,28)c(32,40,20)t(16,24,12)+*
s(40,32,28)s(40,24,12)t(32,24,20)+-
t(24,48,20)s(24,24,28)-s(24,32,20)+
s(24,24,28)c(32,24,20)s(32,40,20)*-
s(48,40,12)c(32,40,20)t(48,48,12)-+
s(32,40,28)t(16,32,12)-t(48,40,12)-
t(32,32,28)s(48,24,20)s(40,48,20)--
s(24,32,28)t(16,16,12)-t(24,24,12)-
s(32,16,20)t(32,48,28)s(40,48,12)-+
s(32,24,28)c(40,32,20)c(40,40,12)--
s(16,32,20)c(24,40,20)c(32,40,12)-+
s(32,32,28)s(32,40,28)*s(24,40,28)*
s(32,32,28)c(48,48,12)-s(40,40,20)-
s(24,48,20)c(32,40,20)*t(32,40,20)+
s(24,24,28)c(32,48,12)t(16,32,12)+-
s(32,24,28)t(40,24,20)-s(16,32,12)-
s(32,32,28)s(24,40,20)*s(40,24,28)+
s(24,48,20)c(40,24,20)s(24,32,20)*+
s(32,40,28)t(24,48,28)-c(32,48,12)+
t(24,32,20)s(32,24,20)s(24,16,20)*+
c(24,48,12)c(40,24,20)t(40,32,20)-+
t(24,32,28)s(40,40,20)t(24,32,20)--
s(32,24,28)s(48,24,20)c(32,24,20)*-
c(32,32,28)s(24,16,20)s(32,16,20)*-
c(40,32,20)s(24,40,28)t(40,24,20)+*
s(32,16,12)t(48,48,12)s(32,40,12)++
t(32,32,28)s(32,40,28)c(32,32,20)**
t(24,56,12)c(40,40,20)s(48,24,20)-+
s(32,16,20)c(32,32,20)+s(40,24,28)*
s(40,40,28)s(40,16,20)c(32,24,20)*-
c(32,32,28)s(40,24,28)-s(8,40,12)-
s(24,32,28)t(32,48,28)t(24,48,28)*+
c(24,32,20)c(40,24,20)c(40,32,20)*+
s(16,32,20)s(32,32,12)-c(32,24,20)+
s(40,48,12)c(32,40,20)c(32,24,20)*+
s(32,40,28)s(24,40,20)t(24,32,20)+*
t(24,32,20)s(40,48,20)t(40,40,20)*+
c(40,24,20)s(40,32,28)s(16,24,12)+*
s(24,32,28)s(24,48,12)-s(32,24,28)*
s(16,40,20)s(40,32,20)s(40,48,12)-+
c(32,32,28)s(32,16,20)*s(32,32,20)+
s(32,32,28)s(24,24,20)*t(40,24,20)+
s(40,40,28)s(32,40,28)t(40,32,20)*-
s(32,16,20)c(24,32,20)s(32,40,28)*+
s(32,32,20)c(48,16,12)+s(32,32,28)*
c(24,24,20)t(16,32,12)s(40,8,12)++
s(40,40,28)c(24,32,20)s(32,24,28)*-
s(48,48,20)t(24,24,20)s(16,48,20)++
s(48,8,12)s(40,48,20)s(24,24,20)++
s(32,24,28)s(40,32,28)t(24,48,28)*-
s(24,40,28)t(32,40,28)c(48,32,12)+*
s(40,32,28)t(32,24,12)-c(40,16,12)-
s(16,32,12)s(40,24,28)t(40,40,20)++
s(40,24,28)c(48,40,12)-s(24,40,12)-
t(24,24,12)c(24,16,12)+s(24,40,12)+
s(32,48,20)s(32,32,28)*c(48,16,12)+
s(32,40,28)s(40,40,28)*s(48,24,20)-
c(40,24,20)s(24,24,28)*s(24,24,20)+
c(40,32,20)t(32,48,20)-c(16,32,12)-
s(40,24,28)s(48,24,12)-s(40,40,20)-
t(40,48,20)t(16,16,12)+c(40,32,12)+
s(24,24,28)s(40,40,12)-s(40,16,12)-
s(24,32,12)s(32,16,20)+t(48,48,12)+
t(24,24,20)c(24,32,20)t(32,40,20)*+
s(40,40,28)t(32,40,28)c(40,32,12)+*
s(48,48,20)s(40,16,20)+s(32,24,28)-
s(40,32,28)c(32,24,12)-s(24,40,12)+
c(32,40,20)s(32,40,20)t(32,24,20)+*
c(32,32,28)s(24,40,28)*c(32,40,20)*
c(24,32,20)c(24,32,20)s(32,16,20)*-
c(24,24,20)c(24,16,12)s(24,40,28)+*
c(40,32,20)c(40,24,20)*s(24,48,12)+
t(24,32,28)s(24,24,28)c(24,32,20)**
c(24,16,12)s(40,48,20)+s(24,24,12)-
s(32,24,28)t(32,24,12)-s(32,32,28)*
s(24,32,28)c(32,32,20)s(24,40,12)--
c(32,40,20)s(24,24,28)c(40,24,20)--
s(24,32,28)s(40,40,20)+c(40,48,12)-
s(24,40,28)s(8,48,12)s(24,32,20)+*
t(32,32,28)c(40,40,20)-s(48,24,20)+
s(32,24,28)t(24,40,28)s(32,24,28)*-
s(32,16,20)s(24,32,28)*s(16,48,20)+
s(32,32,28)s(32,24,20)c(40,32,20)*-
c(40,24,20)s(24,32,28)s(16,16,20)*-
s(24,40,28)t(24,40,28)t(32,48,28)*-
s(48,40,20)s(40,40,12)-s(40,8,12)+
c(24,32,20)s(32,24,20)c(32,16,12)--
c(40,24,20)t(24,48,28)-t(32,40,20)+
c(24,24,20)t(32,48,28)+s(40,24,28)*
s(24,32,28)c(40,32,20)c(32,32,20)*-
c(40,32,20)s(40,24,20)s(32,32,28)+*
s(16,8,12)t(40,48,20)c(32,32,28)*+
c(40,40,20)s(40,24,28)t(24,40,28)+*
s(16,16,20)s(48,32,20)+t(32,40,20)+
s(40,40,28)s(40,32,28)s(16,24,20)-*
t(32,24,20)s(16,48,20)c(16,40,12)-+
c(24,40,20)s(32,40,28)*t(40,24,20)-
c(32,32,20)t(32,16,12)c(16,16,12)+-
s(24,32,28)c(40,32,20)c(40,24,20)*-
t(40,40,12)c(32,32,20)s(48,32,20)-+
s(48,48,20)t(32,32,28)c(40,32,20)*+
s(8,16,12)c(48,16,12)+s(16,16,12)+
s(24,32,28)s(16,48,12)-s(32,16,12)-
s(24,32,20)s(48,48,20)+t(32,40,20)-
c(40,40,20)c(40,40,12)-s(48,48,12)+
c(32,40,20)c(24,40,20)*s(8,8,12)+
c(32,32,28)s(24,16,20)s(48,48,20)+*
s(32,24,28)s(40,24,28)*t(24,32,12)-
c(24,40,20)s(48,48,20)-s(32,32,28)+
s(40,32,20)t(32,32,20)*t(24,40,28)+
s(48,40,20)s(48,48,20)*s(40,48,20)+
s(24,32,28)s(8,40,12)-t(40,40,20)+
c(32,16,12)s(16,40,12)+c(48,16,12)+
s(32,48,20)c(32,24,20)-t(32,24,20)+
c(24,32,12)c(24,32,20)s(32,16,20)-+
s(24,32,28)s(40,40,28)c(40,24,20)--
s(24,48,12)t(48,32,12)+t(32,48,20)+
s(48,48,12)s(32,48,20)+t(32,48,28)*
t(24,40,28)s(48,24,12)c(48,48,12)+-
t(32,48,28)s(32,40,12)-s(40,8,12)+
s(32,32,12)s(24,40,20)c(24,24,12)-+
s(32,24,20)s(16,8,12)+c(16,24,12)-
s(48,32,20)t(40,48,12)+s(40,40,28)*
c(32,40,20)t(24,24,20)s(32,24,20)*-
t(24,40,20)s(16,32,20)c(32,32,28)*+
c(16,24,12)s(24,40,20)t(32,32,28)*+
c(24,32,20)t(24,24,12)-t(16,24,12)-
s(24,40,20)s(32,40,28)s(40,24,28)*+
c(32,40,20)s(32,40,28)t(32,32,12)-*
s(16,24,20)t(24,32,28)*t(40,32,20)+
c(24,24,20)s(40,24,20)+t(24,32,20)-
s(32,40,28)t(32,40,12)-c(40,40,12)+
s(24,24,28)t(32,40,20)-t(32,16,12)-
s(40,40,28)c(32,32,28)c(24,40,12)-*
s(48,32,12)c(24,24,20)+s(32,40,28)*
c(40,24,20)t(24,32,20)c(32,16,12)--
s(32,40,28)c(32,32,20)*c(16,32,12)+
s(32,24,28)c(32,32,20)s(24,40,28)*-
s(48,16,12)s(16,16,20)t(32,48,28)++
s(40,32,28)s(32,40,28)s(24,24,20)*-
t(32,48,12)c(48,24,12)+s(32,16,20)+
s(32,32,28)c(40,32,20)+c(40,40,20)*
c(32,32,28)s(32,16,20)*c(24,40,20)+
s(32,24,28)c(32,32,20)s(24,48,12)+*
c(24,32,20)c(32,32,28)c(40,48,12)-*
c(32,32,28)s(40,40,28)c(48,16,12)+*
s(40,40,28)s(40,16,20)s(32,24,28)*-
c(32,32,28)s(24,48,20)-s(48,16,20)-
c(32,40,20)t(24,40,12)-s(16,48,20)+
t(40,48,12)c(32,32,20)s(40,48,12)-+
s(48,32,20)s(40,40,28)*t(40,40,20)+
s(24,32,28)c(32,32,20)*c(16,24,12)+
c(16,48,12)c(40,40,20)s(24,32,20)-+
t(16,24,12)c(48,48,12)c(32,48,12)++
s(40,24,28)s(24,16,20)s(32,24,20)*-
t(32,32,28)s(48,40,12)-s(48,48,20)+
s(24,24,12)s(40,40,20)s(24,48,20)-+
s(32,24,28)t(40,32,20)s(24,40,12)--
c(24,24,20)c(24,40,20)t(24,48,28)-+
s(40,32,28)t(24,32,28)s(32,32,20)*-
s(32,32,28)s(32,24,28)t(16,56,12)+*
t(40,24,20)s(48,32,20)+t(48,24,12)-
s(24,40,28)c(32,40,12)-c(40,24,12)-
s(24,24,28)s(32,32,28)*s(16,40,12)-
s(24,40,28)s(48,40,20)-s(24,48,12)-
s(40,24,28)s(48,24,12)-t(32,40,20)-
s(24,40,28)t(24,24,12)t(48,32,12)+-
s(32,24,28)t(24,48,20)+s(16,16,12)-
c(32,32,28)c(32,32,12)-s(32,24,28)*
c(48,32,12)s(16,24,12)s(40,48,12)++
t(24,48,20)c(32,40,20)*c(24,24,20)+
c(40,24,20)t(24,48,28)c(24,32,20)*-
c(32,40,20)s(16,40,20)*c(16,16,12)+
s(24,32,28)c(32,40,20)t(24,32,12)--
c(24,16,12)s(16,40,20)c(32,24,20)-+
c(32,32,20)c(48,40,12)s(24,24,20)++
s(40,32,20)s(40,24,20)*c(16,48,12)+
s(40,32,28)t(32,24,12)-t(48,40,12)-
c(32,24,20)s(32,32,28)*c(40,48,12)+
s(24,24,28)s(32,16,20)c(24,24,20)+*
t(32,48,28)s(24,24,28)t(32,24,12)-+
c(24,32,20)t(32,48,28)t(32,40,12)--
c(40,32,20)s(32,32,28)t(24,40,12)-*
t(16,56,12)c(40,24,20)+t(40,48,12)+
s(32,32,28)t(24,32,20)t(40,40,20)--
s(40,24,28)s(32,40,28)s(32,32,12)--
c(40,32,20)c(40,40,20)t(24,48,28)*-
s(40,40,28)t(40,48,20)t(48,56,12)--
s(32,24,28)t(24,40,28)t(24,40,20)--
c(48,16,12)t(32,40,28)+t(24,32,20)-
c(24,32,20)t(24,48,20)-t(40,40,20)+
t(40,40,12)c(32,48,12)+s(16,48,12)+
c(40,40,20)s(16,40,20)-s(32,24,12)-
c(32,32,28)t(32,48,20)-s(32,24,28)*
s(48,40,20)t(32,40,20)s(24,48,20)++
t(40,48,12)s(16,32,20)c(32,32,28)*+
c(32,24,20)t(40,48,20)t(16,32,12)+-
c(40,32,20)c(40,48,12)-c(24,48,12)+
s(32,24,20)t(24,24,20)*t(40,48,20)+
c(32,48,12)s(40,32,20)t(24,40,12)-+
s(24,40,20)s(24,48,20)s(40,48,20)*+
s(32,32,28)t(24,48,28)*c(40,48,12)+
s(16,24,20)t(48,40,12)+t(16,16,12)-
c(32,32,28)c(24,40,12)-c(32,48,12)-
s(32,32,28)t(40,48,20)-s(24,24,12)-
s(16,32,12)t(32,48,28)s(40,32,28)*+
s(24,24,28)s(32,16,12)-s(40,48,20)-
s(32,48,20)s(24,48,20)*s(48,24,20)+
s(32,24,28)c(40,32,20)s(48,32,20)*-
c(24,32,12)c(24,32,20)s(40,32,28)*+
t(32,40,28)s(24,8,12)+s(24,40,28)*
t(24,40,20)s(40,24,28)+s(48,24,12)-
s(40,16,20)c(24,24,20)*s(48,24,20)+
c(32,32,28)s(32,40,12)-t(40,16,12)-
t(40,16,12)s(40,48,20)+s(40,32,20)+
c(24,32,20)c(16,24,12)-c(40,40,12)+
c(40,32,20)s(32,40,20)s(48,40,20)*-
s(32,24,28)s(32,24,20)s(24,32,28)*-
s(16,16,12)t(24,32,28)+c(24,32,20)*
t(32,32,20)s(24,24,20)+s(24,32,28)*
s(24,24,28)s(16,40,12)-t(32,40,28)-
s(24,32,28)s(32,48,12)-s(32,24,28)*
s(24,32,28)s(16,24,12)-s(8,32,12)-
c(32,40,20)t(24,48,20)c(32,24,20)--
s(48,40,20)t(24,32,28)t(32,24,20)++
c(24,48,12)t(32,48,28)c(32,40,12)-+
c(32,40,20)s(40,24,12)-c(32,24,12)-
s(40,32,28)t(24,24,12)-c(32,48,12)-
s(40,24,20)t(32,48,12)+s(24,24,28)+
s(16,16,12)s(32,40,20)+s(24,32,20)+
s(32,24,28)s(48,32,20)*t(32,32,20)+
c(24,40,20)s(40,48,20)*c(16,16,12)+
c(40,24,20)c(24,24,20)*s(16,24,20)+
t(32,48,20)c(48,16,12)+t(24,48,12)-
t(32,56,12)t(32,32,12)c(40,16,12)++
c(40,32,20)s(32,32,28)*t(24,24,12)-
s(48,40,20)t(40,40,12)-s(48,16,12)+
s(40,40,28)c(32,40,20)-t(24,48,28)+
c(40,24,12)t(40,56,12)s(16,16,12)++
s(24,24,20)t(40,56,12)+c(24,24,20)*
s(24,24,28)s(24,16,12)c(32,48,12)++
t(40,16,12)s(32,40,28)c(16,40,12)-+
s(48,24,12)c(40,40,20)+s(40,24,12)-
t(32,32,28)s(48,16,20)c(40,32,20)*-
c(32,40,20)t(40,16,12)s(32,40,20)+*
s(40,40,28)c(40,24,20)*t(40,40,20)+
s(32,40,28)t(24,24,20)t(24,48,28)--
t(24,40,28)c(32,24,20)c(32,40,20)*+
s(32,40,28)t(32,40,28)s(40,40,20)*-
s(32,24,28)s(32,32,28)s(16,24,20)*-
s(32,24,28)s(40,32,28)*c(40,24,20)*
c(32,32,28)s(24,24,28)s(40,24,28)--
t(24,48,28)t(32,32,20)s(48,48,20)--
t(24,32,28)s(24,32,12)-t(40,32,12)+
s(24,32,28)c(32,40,12)s(48,48,20)+-
t(16,48,12)s(32,24,20)s(40,8,12)-+
s(24,32,28)c(32,40,20)s(40,32,28)*+
s(24,32,28)s(16,24,20)s(32,24,28)*-
c(40,24,12)c(32,16,12)s(40,8,12)++
s(24,32,28)s(16,40,20)*s(48,32,12)+
s(40,40,28)s(32,40,28)*s(24,24,12)-
s(40,40,28)t(24,32,28)s(32,32,28)*-
s(40,32,28)s(48,8,12)s(40,48,12)+-
s(40,40,28)t(48,56,12)t(32,40,12)+-
s(32,32,28)s(24,40,28)s(16,48,20)*-
s(40,40,28)s(24,16,20)t(16,16,12)--
s(32,32,20)c(24,40,20)s(16,48,20)*+
t(32,32,28)s(32,32,28)s(40,24,28)-+
t(40,24,12)c(32,32,28)c(24,24,20)-+
s(16,40,20)c(40,32,12)+c(24,40,20)*
c(32,24,20)s(32,24,20)s(32,48,12)+*
t(40,24,12)s(48,40,20)s(48,48,20)*+
t(40,16,12)s(16,48,20)s(32,40,12)-+
s(40,32,20)s(16,16,12)+t(40,32,12)-
s(40,32,28)t(24,40,28)s(40,40,28)*-
c(32,32,28)c(16,24,12)-t(24,48,12)-
c(40,40,20)c(32,32,28)s(48,16,20)*-
s(24,40,28)c(32,40,20)t(40,32,12)-*
s(24,24,28)c(32,40,20)s(40,48,20)*-
s(40,16,20)c(32,32,20)+t(24,40,20)-
s(32,24,28)t(32,32,28)s(48,8,12)+*
c(24,32,20)s(40,16,20)s(32,24,28)*-
t(32,32,20)s(48,16,20)c(32,32,20)-+
s(40,24,28)s(48,40,20)c(32,32,20)*-
s(16,40,20)c(16,16,12)+s(32,24,20)+
s(8,48,12)c(40,24,20)+s(40,24,28)*
s(32,8,12)c(48,16,12)s(24,48,20)++
s(24,24,28)s(48,48,20)s(24,40,12)+-
s(32,24,28)s(48,40,12)-c(24,48,12)+
t(48,32,12)s(32,16,20)s(24,24,28)*+
s(48,32,12)s(32,48,20)+s(24,48,20)+
s(40,24,28)t(40,24,20)s(40,32,20)*-
c(32,40,12)c(40,48,12)c(16,24,12)++
s(48,40,20)s(24,24,28)+c(48,32,12)-
t(32,48,20)s(48,24,20)+c(40,24,20)*
s(16,32,20)t(24,40,28)*t(24,48,20)+
t(24,32,28)s(48,40,12)c(24,24,20)+*
s(32,32,12)t(24,48,28)s(32,40,28)*+
c(32,32,28)s(32,32,12)-c(32,32,20)-
s(24,40,20)s(40,40,12)+t(32,48,28)+
s(32,48,12)s(16,32,12)s(16,48,12)++
s(32,24,28)c(32,32,28)s(40,24,12)-*
s(24,40,28)t(24,40,12)s(48,40,20)+-
s(32,24,28)t(24,48,12)s(40,24,20)+*
s(24,40,20)s(40,24,12)+s(32,32,28)*
s(48,24,12)s(32,24,20)s(40,32,28)*+
s(24,40,28)c(16,40,12)c(32,24,20)+*
s(40,40,12)s(32,24,20)s(40,32,28)*+
s(24,32,20)t(24,32,12)-t(16,56,12)+
s(40,32,28)s(40,8,12)t(40,32,12)+-
c(24,40,20)s(40,40,20)s(32,32,20)*-
s(32,40,28)s(40,40,28)*c(32,24,12)-
c(32,40,20)t(48,56,12)+s(8,32,12)+
c(40,24,20)s(32,40,20)c(24,40,20)*-
s(48,24,20)c(16,40,12)+s(24,40,20)-
t(32,40,20)s(32,48,20)*t(40,24,20)+
c(48,40,12)s(48,32,20)s(40,40,12)-+
t(24,48,28)t(16,40,12)-t(16,32,12)+
s(40,32,28)s(32,32,28)*t(24,48,28)-
t(32,40,28)t(40,32,12)c(48,40,12)++
s(16,32,12)t(32,48,28)s(40,40,28)*+
c(32,32,28)c(48,32,12)-s(40,40,28)-
s(24,24,28)c(32,32,28)s(24,32,12)-*
t(24,48,28)s(32,16,20)+s(40,24,28)*
s(48,16,20)t(24,24,20)+c(24,32,12)-
s(40,24,20)t(40,32,20)s(32,16,12)-+
c(40,32,20)t(24,40,20)+s(32,24,28)*
c(32,24,12)t(48,56,12)+s(8,16,12)+
c(24,32,20)s(32,24,28)c(24,24,20)**
c(40,24,20)t(48,32,12)c(16,48,12)+-
c(32,32,20)t(32,40,12)-t(48,24,12)-
s(24,24,28)s(24,32,20)t(48,24,12)+*
c(40,40,20)s(32,24,28)+t(40,32,20)-
s(40,32,28)s(48,16,20)c(24,24,20)+*
s(24,32,20)s(40,48,20)+s(24,48,12)-
s(32,40,28)t(24,32,12)t(24,48,12)+-
c(32,24,20)c(16,24,12)-s(16,40,20)-
t(48,24,12)s(24,40,20)c(24,32,20)*+
s(32,40,28)s(16,40,20)c(40,48,12)+*
s(24,40,28)c(24,32,20)s(48,16,20)++
c(24,16,12)s(48,48,20)s(40,32,28)*+
s(32,32,28)s(32,16,20)+s(24,40,28)*
s(24,32,20)s(16,40,12)-s(24,16,12)+
c(32,32,20)c(48,48,12)-t(32,48,20)-
s(24,24,28)c(40,32,12)-c(40,40,12)+
c(16,16,12)c(32,32,20)s(32,40,28)*+
t(24,32,28)t(24,48,20)s(32,32,28)+*
c(32,32,28)s(48,40,20)*s(16,32,20)+
t(32,32,28)s(8,32,12)s(16,16,20)++
s(48,24,20)s(32,32,20)t(24,48,28)-+
s(24,32,28)s(16,48,12)-c(32,16,12)-
s(32,40,28)t(24,40,20)-c(32,24,12)+
s(40,40,28)s(40,32,20)s(24,32,28)*-
t(24,48,28)c(40,24,20)s(24,40,28)*-
s(40,40,28)s(8,48,12)+t(32,48,28)*
c(24,32,20)s(16,48,12)-t(32,24,12)-
c(32,40,20)s(16,48,20)s(24,48,12)-+
c(24,40,20)t(32,32,28)s(24,48,20)--
s(32,24,28)c(32,32,12)-t(40,40,20)-
t(40,48,20)s(32,32,28)+c(40,32,12)-
s(32,16,20)t(48,48,12)+c(48,24,12)-
c(24,32,20)t(32,48,12)-s(32,24,20)+
c(40,40,20)t(24,40,28)*c(16,48,12)+
s(24,40,28)s(48,48,20)-t(32,32,12)-
c(24,32,12)t(24,48,28)+s(40,48,12)-
s(24,8,12)s(48,32,20)c(40,48,12)-+
s(16,32,20)s(48,24,20)t(48,32,12)-+
c(40,40,20)t(24,24,20)s(24,48,12)++
s(24,24,28)t(32,32,12)-s(40,32,28)-
c(40,32,20)c(48,32,12)s(32,24,20)+*
s(40,40,28)s(48,32,12)-s(40,24,20)-
c(32,32,20)t(32,24,20)s(40,40,20)+*
s(40,24,20)s(32,24,20)*s(8,24,12)+
s(32,40,28)c(24,40,20)s(40,40,28)-+
s(24,32,20)s(40,32,12)+c(40,16,12)-
s(40,40,20)s(16,48,20)c(24,32,20)*+
c(40,32,20)s(24,32,28)t(32,32,28)+*
s(32,32,28)c(24,32,20)*t(16,40,12)-
s(16,16,20)t(16,16,12)-s(32,40,20)+
c(40,40,20)t(24,48,28)s(16,40,20)*-
s(40,40,20)c(24,32,12)+t(24,48,20)-
s(24,24,20)s(16,24,20)*t(40,48,20)+
t(24,32,20)c(16,48,12)-s(48,40,20)+
s(24,40,28)s(40,24,20)c(24,32,12)-+
t(32,56,12)s(16,40,20)+s(24,24,20)+
s(24,24,20)s(40,48,20)+s(16,16,20)-
s(32,24,28)c(16,40,12)-c(32,32,20)*
t(40,32,20)t(48,24,12)t(32,16,12)++
t(32,32,28)c(40,32,20)s(48,16,20)*-
s(16,16,20)c(40,32,20)-t(40,24,12)+
c(32,40,20)t(48,48,12)-s(48,24,20)-
t(32,32,28)s(40,40,28)s(8,40,12)+*
s(16,40,20)s(40,48,12)t(24,16,12)++
s(24,24,20)c(16,16,12)+s(8,32,12)-
c(32,32,28)s(32,32,28)s(40,40,28)*-
s(48,48,12)c(24,24,12)+s(32,32,12)+
s(32,40,28)c(32,32,20)s(40,24,28)*-
s(48,32,20)s(32,24,28)*c(24,24,20)+
s(40,24,28)c(48,32,12)-s(24,24,28)*
s(32,24,28)s(40,40,28)c(32,40,20)*-
s(40,24,28)c(24,24,20)+s(48,8,12)-
s(40,32,28)t(40,32,20)-c(40,24,20)+
s(24,40,28)s(40,32,28)-c(32,32,12)+
s(16,24,20)t(24,24,20)s(24,40,28)*+
s(48,24,20)t(40,56,12)s(16,32,20)++
s(40,24,20)t(24,40,12)+c(32,24,20)*
t(32,24,20)s(32,40,28)t(24,40,28)*+
s(32,24,28)s(40,48,20)t(48,56,12)--
s(40,24,28)s(32,32,12)-s(24,32,28)+
s(24,48,20)c(40,24,20)s(32,32,20)++
s(40,16,20)c(40,40,20)s(48,40,12)-+
c(32,32,28)s(16,40,12)-s(24,40,28)*
c(24,24,20)s(24,24,28)s(32,24,12)-*
s(40,16,20)s(8,48,12)+s(40,24,12)-
c(32,32,28)t(24,16,12)s(32,48,20)+*
s(40,48,12)s(24,32,20)t(16,40,12)-+
s(40,40,28)s(24,48,20)*t(40,24,20)+
c(24,40,20)c(32,48,12)-s(48,16,12)+
c(24,48,12)s(40,24,20)+t(24,24,20)-
s(16,24,12)t(24,48,28)t(32,48,20)-+
s(32,40,20)s(40,48,20)*c(32,24,12)+
t(24,48,28)c(32,24,20)-c(16,48,12)+
c(24,24,12)t(32,32,28)s(16,40,20)-+
s(40,24,28)t(24,40,20)-s(40,32,28)*
c(24,32,20)s(16,16,12)-c(16,24,12)-
s(32,24,28)t(32,32,28)*c(40,24,12)+
s(24,40,12)s(48,40,20)+s(24,40,28)+
c(24,40,20)t(24,56,12)-s(24,24,12)-
s(16,24,20)s(40,16,20)+t(24,32,28)-
s(40,24,28)t(32,40,20)+c(32,40,20)*
s(48,32,20)s(32,40,28)s(40,24,28)*+
s(32,32,28)c(32,24,20)*s(8,32,12)+
s(40,32,28)t(24,48,28)-s(24,24,20)-
t(24,48,28)s(40,32,20)t(40,24,20)+-
s(40,24,28)s(32,40,28)*c(24,16,12)+
s(48,32,12)s(48,48,20)t(40,48,12)-+
s(24,32,28)t(32,32,12)-s(24,40,28)*
s(24,40,28)s(24,32,28)*s(24,48,20)+
s(40,32,28)s(48,40,20)*s(40,32,20)+
c(16,16,12)c(24,40,20)s(40,32,28)*+
s(24,32,28)t(32,56,12)s(24,32,20)+*
c(24,40,20)c(40,24,12)-t(40,40,12)-
c(24,32,20)t(48,32,12)s(24,40,28)+*
s(40,24,20)t(24,32,28)+t(40,16,12)-
c(24,32,20)s(32,40,28)s(48,16,20)-*
s(24,32,28)s(24,40,28)c(32,40,20)**
c(40,24,20)t(40,32,12)-s(48,8,12)-
t(24,32,28)s(40,40,20)s(16,40,20)-+
c(24,24,20)s(40,40,20)s(32,32,20)*-
s(40,32,28)c(40,40,12)-c(24,48,12)-
c(32,32,20)c(48,24,12)-c(48,32,12)+
s(48,40,12)c(40,24,20)s(40,24,12)-+
s(40,16,20)s(40,32,12)-t(48,40,12)+
s(32,40,28)t(48,40,12)-c(40,40,12)+
s(32,32,28)c(32,40,12)-s(24,40,12)-
s(32,40,28)s(24,40,28)*c(24,32,20)*
t(32,40,28)c(24,24,20)t(24,32,28)*+
c(40,40,20)s(48,16,20)-s(48,32,12)+
c(32,32,28)s(32,48,12)-s(32,32,28)*
s(32,40,28)s(40,24,28)s(24,16,20)--
t(32,48,20)s(16,16,20)s(32,24,28)*+
s(16,40,20)s(16,24,12)-t(32,16,12)+
s(32,24,20)s(32,32,28)s(16,40,20)*+
s(24,16,12)t(32,32,28)s(48,24,20)-+
s(40,40,28)t(24,48,12)-t(40,32,12)-
s(24,40,28)c(24,24,20)s(16,16,20)--
t(40,24,12)c(16,40,12)+s(24,8,12)+
s(32,40,20)t(24,40,28)*c(16,32,12)+
c(24,24,20)s(8,32,12)-s(16,40,20)+
t(40,40,20)c(32,32,20)t(24,40,28)*+
s(32,40,20)s(32,16,12)+s(40,40,28)*
s(32,32,28)c(24,40,20)s(16,48,12)--
c(32,32,28)c(40,32,20)t(32,32,28)*-
s(32,24,28)c(16,16,12)s(40,32,20)+*
s(40,32,28)s(32,40,28)t(32,32,28)*-
s(32,16,12)c(24,40,20)s(32,32,28)*+
s(32,32,28)s(32,40,28)*s(48,24,20)-
s(24,32,28)c(24,40,20)t(32,40,12)-*
s(24,8,12)c(32,24,20)s(40,32,28)*+
s(40,48,20)s(40,32,20)*s(16,40,20)+
t(16,24,12)s(40,40,28)s(40,32,28)*+
s(40,48,12)s(24,32,28)c(32,24,20)*+
c(32,32,20)s(32,24,28)t(24,24,12)-*
c(48,32,12)c(40,24,20)s(32,24,28)*+
s(32,40,28)t(48,40,12)-t(32,40,28)*
t(32,48,28)c(40,40,20)s(40,24,20)*+
t(40,40,20)s(32,24,20)s(16,24,20)*+
t(32,32,28)c(24,24,20)s(24,40,28)+*
t(40,32,20)c(32,40,20)*s(32,48,20)+
s(24,32,20)s(40,16,20)-s(48,48,12)+
c(32,24,20)t(40,16,12)-c(16,32,12)+
s(40,40,20)t(40,16,12)+s(40,16,12)-
c(32,32,28)s(40,24,12)-s(32,48,20)-
c(40,32,20)s(24,24,12)-s(40,24,28)*
s(40,48,20)t(40,32,20)+s(32,16,20)-
c(24,32,20)t(32,32,20)-s(32,8,12)+
c(48,40,12)t(24,48,28)c(24,40,20)*+
t(24,32,28)t(32,32,28)*s(8,16,12)+
s(40,24,28)t(24,40,28)-s(32,24,28)*
s(40,16,20)t(32,56,12)+c(48,32,12)-
c(16,32,12)s(16,8,12)s(40,16,12)++
t(24,32,20)t(24,48,20)t(32,40,28)*+
t(40,32,12)s(16,32,20)+t(24,32,12)-
s(40,48,20)s(24,24,28)s(24,40,28)*+
c(24,32,20)t(48,48,12)s(24,24,28)+*
s(48,8,12)s(24,16,20)s(32,40,28)-+
t(32,48,28)t(40,48,20)*t(32,32,20)+
c(40,24,20)s(16,48,12)+c(16,40,12)+
s(8,24,12)s(40,40,28)s(24,48,20)-+
s(24,24,28)t(24,32,12)-s(40,16,20)-
c(24,24,20)s(16,40,20)t(16,24,12)--
s(40,32,28)t(24,48,28)s(32,48,12)--
c(32,24,20)s(24,24,20)s(48,48,20)+*
t(32,48,28)t(40,32,12)s(16,40,12)+-
t(16,48,12)s(40,48,20)+c(24,32,12)-
s(40,40,20)s(48,16,20)c(40,32,20)*+
c(40,40,20)c(24,40,12)+c(16,16,12)+
t(24,40,28)s(32,16,12)s(16,24,12)+-
t(32,48,20)s(8,8,12)s(24,24,12)++
c(48,40,12)t(48,48,12)+s(32,8,12)+
c(32,32,28)t(24,40,28)c(16,40,12)--
s(40,40,28)s(24,40,20)*c(16,40,12)+
s(40,40,28)c(24,24,20)s(24,40,28)*-
s(24,40,28)t(32,32,12)-c(32,32,28)*
s(32,32,28)t(32,32,28)s(40,48,20)+*
s(32,24,28)s(32,40,20)t(32,24,12)+-
t(24,32,28)s(32,16,12)-c(16,48,12)+
s(16,40,20)t(24,40,20)*s(40,32,28)+
c(32,32,28)s(48,24,20)s(40,24,20)+*
s(40,32,20)s(32,40,28)*t(40,40,20)+
t(24,40,28)c(32,32,28)s(24,16,12)-*
c(24,40,20)c(40,24,12)-t(24,16,12)+
c(32,24,20)s(48,48,12)s(24,16,12)+-
s(40,32,28)t(32,48,20)t(40,40,12)+-
c(24,24,20)s(16,24,20)-s(40,48,12)+
c(24,32,20)t(32,40,28)s(24,24,28)--
s(32,24,28)s(32,32,28)s(16,40,12)-*
s(32,24,28)s(48,32,12)-c(32,24,20)*
t(32,40,20)s(16,32,20)+s(32,40,28)*
s(24,40,28)s(32,32,28)-s(32,40,12)+
s(40,40,28)c(48,40,12)-c(32,24,12)-
c(40,32,12)c(32,40,20)t(24,40,28)*+
s(40,40,28)s(32,24,28)*t(24,24,20)+
c(48,16,12)s(40,16,20)s(32,16,20)*+
s(48,32,20)t(40,56,12)+s(24,40,20)-
c(24,32,20)s(16,24,20)c(40,24,20)+*
t(32,16,12)t(40,56,12)+t(32,48,28)+
s(24,24,28)c(40,24,20)+c(40,32,20)*
s(40,32,28)c(40,48,12)t(32,32,28)+*
c(40,32,20)c(32,32,20)t(32,24,20)-+
c(24,24,20)c(40,40,20)s(40,24,28)*+
t(48,48,12)s(24,32,28)s(40,24,12)-+
s(24,32,28)s(16,16,20)s(32,16,12)+-
t(32,48,28)s(32,24,28)s(24,32,20)*+
t(40,24,12)t(16,24,12)t(24,40,20)++
c(24,24,12)s(48,48,20)c(32,32,28)*+
t(24,24,20)s(16,24,20)*c(40,40,20)+
c(24,40,20)s(8,32,12)-c(32,32,20)+
s(24,24,28)c(32,24,12)-s(16,32,12)-
s(24,48,20)s(24,40,28)t(24,24,20)*+
c(40,24,20)t(24,32,12)-s(32,8,12)-
s(40,24,28)c(32,32,20)s(24,24,28)+*
t(32,32,28)s(32,24,28)+s(24,24,20)-
t(24,24,20)t(40,56,12)+t(16,48,12)+
t(32,16,12)s(24,40,28)s(32,48,20)-+
s(32,16,12)s(24,32,20)t(16,16,12)-+
s(40,40,28)c(40,24,20)s(32,40,20)*-
c(32,32,20)c(32,40,20)*t(40,24,20)+
t(24,32,28)c(40,32,20)c(32,32,12)--
s(32,40,28)c(32,32,28)s(16,24,12)-*
t(24,48,28)t(32,32,28)s(40,40,20)--
s(48,24,20)s(40,40,28)s(24,48,20)*+
t(24,40,28)c(32,32,28)s(48,32,20)-*
c(40,24,12)s(32,32,20)+s(32,8,12)+
s(40,32,28)t(24,40,12)-t(32,16,12)-
c(16,40,12)s(40,40,28)c(24,32,20)*+
s(32,24,20)s(48,40,20)+t(40,32,12)-
s(24,40,28)s(24,24,28)c(32,32,28)**
c(24,40,20)s(24,32,28)*t(32,48,12)-
s(32,24,28)t(32,48,28)+t(40,48,20)-
s(24,32,28)c(32,32,28)t(40,48,20)-*
c(32,24,20)s(16,24,20)c(40,32,20)--
s(40,24,28)c(24,48,12)+s(24,24,28)*
c(24,24,20)c(16,48,12)t(32,40,20)+-
t(32,48,12)c(24,40,20)s(32,24,28)*+
t(24,56,12)s(16,24,20)s(24,40,12)-+
s(32,16,20)c(24,32,20)s(40,32,20)*+
s(24,48,20)s(8,40,12)-c(24,24,12)+
c(32,24,20)s(32,32,28)t(24,40,28)*+
s(16,24,12)s(24,40,28)s(32,32,28)*+
c(40,32,20)s(24,8,12)s(32,24,12)+-
t(24,48,28)t(24,32,28)s(24,24,20)*-
c(24,32,20)s(24,32,28)c(24,24,20)**
c(32,24,12)c(24,40,20)s(32,24,28)-+
s(16,24,12)t(48,16,12)+c(32,32,20)+
s(48,32,20)s(24,16,12)+s(24,24,12)-
s(40,16,12)s(40,32,28)c(40,40,20)*+
t(32,24,12)s(48,32,20)+c(32,32,28)*
s(24,24,20)c(40,32,20)+c(24,32,20)*
s(32,40,28)c(32,32,20)*s(24,32,20)+
c(40,24,20)s(32,8,12)-c(48,40,12)-
s(24,40,28)s(32,16,20)+s(24,24,12)-
s(32,24,28)s(24,40,20)s(24,24,20)+*
t(24,40,28)s(40,40,28)*t(24,40,20)+
c(40,32,12)s(40,40,20)t(40,32,12)-+
c(40,24,20)s(24,40,20)+c(40,24,12)-
s(16,16,20)c(40,32,20)c(24,40,20)-+
c(32,24,20)t(32,32,20)c(24,40,20)*-
t(32,40,28)s(24,24,28)*t(32,48,20)+
s(40,24,28)t(40,48,12)c(40,32,12)+-
c(24,32,20)c(32,40,20)c(32,24,20)+*
t(32,32,28)s(40,24,28)+c(32,40,20)-
t(24,48,12)t(24,32,28)c(40,32,12)-+
t(24,32,28)s(40,8,12)+s(32,24,28)*
t(32,48,20)c(16,40,12)+t(24,24,12)+
s(40,40,28)c(16,16,12)+s(48,32,20)-
s(16,16,20)c(24,40,20)-s(24,48,12)+
s(32,32,28)c(48,48,12)-t(48,24,12)-
t(40,48,12)s(40,24,12)+c(16,40,12)+
t(24,48,28)s(16,16,20)+s(32,32,28)*
c(16,40,12)t(32,32,28)+s(40,16,20)-
t(32,40,28)s(24,32,20)*s(8,48,12)+
s(48,24,12)s(32,24,28)c(40,32,12)-+
s(32,32,28)c(32,40,20)t(32,32,12)-*
s(40,32,28)s(40,40,12)-s(40,24,28)*
c(32,40,20)c(16,32,12)+t(16,24,12)-
c(40,32,20)s(16,40,20)-c(32,32,20)+
s(40,24,12)s(16,40,20)s(16,32,20)*+
s(32,24,28)s(48,24,12)-c(24,32,20)*
s(40,40,28)c(40,40,12)-s(16,24,20)-
c(32,16,12)s(8,16,12)+s(16,40,12)+
c(32,32,20)t(24,40,28)t(24,40,20)--
s(32,40,28)s(32,40,20)c(16,24,12)+*
s(40,48,12)s(32,24,28)s(24,32,28)*+
c(32,24,20)s(16,48,20)t(24,48,28)*-
s(48,40,20)c(32,40,12)-s(16,48,20)+
t(32,48,20)s(24,24,28)s(24,40,20)*+
s(32,40,28)c(40,24,20)s(32,24,20)-+
s(32,24,28)s(48,40,20)s(24,40,28)+*
s(24,32,20)t(32,40,20)s(32,48,20)*+
s(16,40,20)s(24,24,28)c(24,32,12)-+
c(24,40,20)s(32,40,20)*s(16,32,12)+
c(24,40,20)s(24,16,20)-t(24,40,28)+
c(40,16,12)c(40,24,20)s(48,16,12)-+
s(24,32,20)s(24,8,12)+c(40,40,12)-
s(32,32,28)t(16,24,12)-t(32,40,12)-
s(32,40,28)s(48,16,12)+c(32,24,20)*
t(32,40,28)t(16,16,12)+s(48,40,12)+
s(32,32,28)c(16,40,12)t(24,48,12)+-
c(32,24,20)t(32,40,28)t(40,48,20)*-
s(24,32,28)s(40,40,28)c(24,24,20)*-
t(32,32,28)c(32,24,12)-s(48,24,20)+
s(32,32,28)t(32,40,20)s(24,24,20)+*
t(32,56,12)s(32,32,20)+s(24,40,28)*
c(24,32,20)t(24,48,28)-c(24,24,12)+
c(32,32,20)s(32,16,20)c(32,16,12)--
t(32,24,20)s(16,40,20)-c(32,48,12)+
s(8,48,12)s(40,32,28)+c(24,24,20)-
s(32,32,20)s(24,40,20)s(16,48,20)*+
s(40,24,28)c(40,32,20)c(24,48,12)-*
t(40,32,12)s(16,8,12)c(48,48,12)++
s(32,32,28)t(16,24,12)-s(32,16,20)-
s(32,24,28)c(24,24,20)*s(40,48,20)-
c(40,32,20)t(40,40,12)-t(24,48,20)-
t(32,48,28)t(24,48,20)*s(32,24,28)+
t(24,32,28)s(48,32,20)s(32,32,20)*+
c(32,32,20)s(24,48,20)t(32,48,12)--
s(40,32,28)s(24,40,28)s(32,16,20)--
s(32,40,28)c(40,32,20)-c(24,32,12)+
c(32,32,28)s(48,48,12)-t(24,40,12)-
c(16,48,12)t(32,48,28)s(40,24,28)-+
s(32,40,28)c(40,40,20)t(24,40,12)-*
s(24,40,28)s(32,16,12)+t(40,48,20)-
c(32,40,20)s(48,32,20)c(48,16,12)-+
s(24,32,28)t(32,24,20)-s(16,32,12)-
s(32,24,28)c(48,32,12)t(32,40,20)+-
c(40,24,20)t(32,40,12)c(16,48,12)++
s(24,32,28)s(24,48,20)s(32,24,28)--
s(32,48,20)s(16,24,20)+s(40,40,28)*
s(32,40,20)c(24,24,20)s(32,40,20)-+
c(24,40,20)t(24,32,12)-s(32,40,28)*
t(24,40,28)c(24,32,20)s(32,40,20)--
s(40,40,28)s(40,40,20)c(40,32,20)*-
t(24,32,20)s(40,16,20)-c(16,16,12)+
c(32,32,28)s(16,32,20)t(32,48,28)--
t(24,32,28)s(48,32,20)t(40,32,20)*-
s(40,24,28)t(32,40,28)+s(24,40,28)*
c(32,32,28)c(32,24,20)s(16,32,20)*-
t(24,32,28)s(24,32,20)s(24,24,20)+*
s(40,32,28)s(32,48,12)-t(24,24,20)-
c(40,24,20)s(32,32,28)s(40,24,28)**
s(40,40,28)t(48,48,12)-s(24,32,20)-
c(32,32,20)t(32,48,12)-c(32,24,20)*
s(32,32,28)s(32,24,28)*c(40,32,12)-
s(32,32,28)s(48,16,12)-c(32,32,12)-
c(24,24,20)c(40,40,20)c(40,24,20)*+
t(40,40,20)s(48,40,20)*s(24,40,28)+
s(32,16,20)c(40,32,20)s(24,40,20)*+
s(24,24,20)c(16,40,12)-t(48,32,12)+
s(40,32,28)s(40,16,20)s(32,24,12)-+
c(32,24,20)t(32,48,20)s(32,24,20)+*
s(48,48,12)s(24,32,20)s(24,40,20)*+
s(32,24,28)s(16,32,12)-c(32,32,20)*
s(16,40,12)s(40,40,28)t(48,40,12)-+
s(24,48,20)s(32,24,20)c(40,24,20)*+
c(40,24,20)s(32,32,28)c(16,40,12)-*
s(40,40,28)c(32,40,20)*s(40,24,12)-
s(16,40,20)t(16,48,12)t(32,56,12)++
s(24,16,12)c(32,24,20)t(24,24,20)-+
t(40,40,20)s(24,48,20)t(24,40,28)*+
s(48,16,20)s(40,24,28)*s(40,40,20)+
s(24,40,28)s(32,48,20)-s(48,32,12)+
t(32,16,12)s(24,40,20)t(40,32,20)-+
s(40,24,28)s(24,32,12)-s(32,8,12)-
s(16,48,20)t(24,40,28)*t(32,32,20)+
c(32,32,20)c(40,32,20)*s(16,16,20)+
c(24,40,20)t(40,48,12)-t(40,40,20)-
c(24,32,20)s(32,24,28)s(16,8,12)-*
s(16,40,20)s(48,24,20)s(48,16,12)-+
s(48,40,20)c(24,32,20)s(40,32,28)-+
s(32,32,28)s(16,32,12)-c(32,40,20)+
t(24,48,20)s(24,40,28)s(32,32,20)*+
s(24,16,20)s(32,48,20)s(24,48,20)*+
s(32,32,28)t(48,24,12)s(32,32,12)+-
c(40,24,20)t(24,48,28)-t(48,24,12)-
t(24,48,28)s(16,48,20)s(24,40,20)+*
t(16,48,12)t(24,32,28)s(32,40,28)*+
s(24,32,28)s(40,40,28)*s(48,24,12)+
c(40,32,20)c(24,32,12)-s(16,32,12)+
s(40,40,28)c(32,24,20)s(32,8,12)--
t(32,32,20)s(40,32,20)*s(16,32,20)+
c(40,40,20)s(32,32,20)s(16,40,20)-+
c(16,32,12)t(32,40,28)s(48,40,20)-+
c(32,40,20)c(16,24,12)-s(48,16,20)+
t(32,40,28)s(24,48,12)-c(32,40,12)+
t(24,48,28)c(48,24,12)+s(40,24,20)-
s(32,32,20)c(48,40,12)s(32,8,12)++
s(32,16,20)c(32,24,20)*s(16,48,20)+
c(24,24,20)t(32,48,28)c(32,24,12)--
c(40,40,20)t(32,40,28)t(32,56,12)+*
c(32,32,12)t(32,48,20)s(40,48,20)++
s(24,24,20)t(24,32,28)*s(48,16,20)+
s(40,8,12)s(32,40,28)+s(32,24,28)*
s(32,24,28)s(32,40,20)+s(32,48,12)-
s(24,32,20)t(32,48,28)s(40,40,20)*+
s(24,24,28)s(32,32,28)t(32,48,28)*-
s(40,24,28)s(24,32,28)s(40,32,28)*-
c(40,32,20)s(48,16,12)-t(32,16,12)-
t(32,48,20)s(24,40,20)c(16,24,12)-+
t(32,40,28)s(16,24,20)s(24,32,28)*-
s(40,24,20)s(16,16,20)-t(32,40,12)+
c(32,32,20)c(40,24,20)-c(40,16,12)+
s(8,8,12)c(24,24,12)+s(8,24,12)+
s(40,40,28)s(32,40,28)s(48,24,12)-*
c(24,40,20)c(24,32,20)c(16,16,12)-*
s(24,24,28)c(32,32,20)s(40,16,20)++
t(48,40,12)t(24,32,28)c(32,32,20)*+
c(24,24,20)c(40,24,20)s(48,40,20)*-
s(8,16,12)s(24,32,28)s(16,32,12)-+
s(32,24,28)s(48,16,20)t(32,24,20)+*
s(32,32,20)s(24,48,20)+c(32,40,20)*
s(24,24,28)s(16,32,20)-c(24,48,12)+
s(40,48,12)s(24,24,12)+t(40,48,20)+
s(24,40,12)t(24,48,28)s(24,40,12)-+
c(32,40,20)t(32,24,20)t(48,16,12)+-
s(16,24,20)s(40,32,20)-t(48,24,12)+
t(32,48,28)s(16,40,20)s(24,32,20)*-
c(40,24,20)s(40,32,28)s(32,32,28)**
c(24,24,20)c(40,32,12)-c(48,32,12)+
c(24,24,20)s(24,16,12)-t(24,16,12)+
c(24,24,20)s(40,24,28)s(48,32,20)*-
t(24,48,28)s(40,32,20)+c(24,48,12)-
s(24,24,28)s(24,40,28)*t(40,40,12)-
c(24,40,20)s(40,40,12)s(16,8,12)+-
s(16,16,12)s(40,32,28)t(24,40,12)-+
s(32,32,28)s(40,32,20)s(48,16,12)--
s(40,32,28)s(8,48,12)+t(40,40,20)-
c(32,24,20)t(48,32,12)-s(40,8,12)-
s(24,40,28)s(40,24,20)t(40,16,12)--
c(16,24,12)c(40,32,20)+s(8,24,12)-
c(32,32,12)s(48,40,20)+t(40,24,20)+
s(40,24,28)c(24,24,20)s(40,48,20)--
c(32,32,28)s(48,40,20)*t(16,24,12)+
s(24,40,28)s(32,24,28)*s(40,16,20)+
s(16,32,20)s(16,48,12)-c(40,24,20)+
c(40,32,20)s(16,24,20)+c(32,40,20)*
s(40,32,20)c(24,40,20)+t(24,48,20)-
t(24,32,28)c(24,24,20)*s(8,32,12)+
t(32,40,20)s(24,24,28)+c(24,40,20)*
c(40,24,20)c(32,24,20)t(40,56,12)+*
s(24,40,28)c(48,24,12)+t(32,40,28)*
s(40,32,28)c(24,48,12)-c(40,40,20)*
t(32,40,28)s(40,32,20)-c(40,40,12)+
c(24,24,20)s(40,32,28)*s(48,8,12)+
c(24,40,20)s(32,40,20)s(8,40,12)+*
t(24,32,28)s(32,16,20)c(32,24,12)--
s(16,40,20)s(32,48,20)-s(24,48,20)+
s(48,24,12)c(24,40,20)s(24,32,28)*+
t(32,32,28)s(16,40,12)s(8,32,12)+-
c(24,16,12)s(40,16,20)c(32,24,12)-+
c(24,32,20)s(24,40,28)*t(48,32,12)+
c(48,32,12)s(48,40,12)+s(48,16,20)+
c(40,40,20)s(24,32,20)c(40,32,20)*-
s(32,32,28)t(24,56,12)s(32,24,12)++
c(32,24,20)s(32,32,28)*c(40,40,12)-
c(40,24,12)s(24,48,20)+s(40,40,28)*
c(40,24,20)s(8,24,12)c(32,24,20)+*
c(24,48,12)s(32,16,20)+c(24,24,12)-
t(32,32,28)s(32,48,20)c(24,32,12)--
s(40,24,28)t(32,24,12)s(8,8,12)+-
s(48,8,12)s(40,32,20)+c(40,24,20)*
t(32,48,20)s(24,24,20)s(24,40,28)*+
s(40,24,28)s(24,32,28)s(40,48,12)--
s(40,40,28)t(24,40,28)t(32,48,20)*-
s(32,24,28)s(32,8,12)-s(32,40,12)-
c(32,32,28)s(24,24,28)s(40,40,20)+*
s(40,40,28)s(24,24,20)+c(16,24,12)-
t(24,32,28)t(40,48,20)-t(48,16,12)+
s(32,40,28)s(40,32,28)+c(16,32,12)-
s(32,40,28)s(24,24,28)t(32,32,28)*-
c(40,24,20)t(24,40,12)s(40,16,20)++
c(24,32,20)s(32,40,28)t(32,32,20)-+
c(24,40,20)c(16,40,12)-s(40,16,20)+
c(32,16,12)s(40,24,20)+c(32,24,20)*
s(24,24,28)s(40,24,20)s(32,32,28)*-
t(32,40,28)c(40,32,20)*s(32,48,12)+
c(16,16,12)c(16,40,12)+s(8,40,12)+
s(48,48,12)c(40,32,20)s(40,16,20)-+
c(16,24,12)t(48,48,12)c(32,16,12)++
c(32,32,12)s(24,16,20)s(32,24,28)*+
s(32,24,28)t(32,24,20)s(24,8,12)+-
s(24,32,28)s(32,40,20)s(40,48,12)--
c(32,32,28)c(40,32,20)-s(32,32,20)-
t(16,48,12)c(24,24,20)+s(16,48,20)-
s(32,40,28)s(40,24,12)-t(24,32,20)-
c(32,48,12)t(24,24,12)+s(8,8,12)+
c(40,32,20)t(48,32,12)-s(32,32,28)*
s(32,24,28)t(32,32,28)s(48,16,12)+*
s(24,24,20)c(32,32,20)s(24,32,20)*+
s(32,32,28)c(40,32,20)s(40,40,28)**
s(24,40,28)t(24,48,28)*s(16,16,20)+
s(8,16,12)t(24,48,12)+s(40,32,12)+
c(32,32,28)t(32,32,20)s(40,40,28)*-
s(32,40,28)c(32,32,28)s(32,16,20)-*
c(24,40,20)c(24,16,12)+s(24,40,28)*
s(24,24,28)s(24,32,28)t(40,48,20)+*
s(32,8,12)c(40,40,20)c(40,24,20)*+
s(16,24,12)c(24,16,12)+s(40,40,12)+
t(40,56,12)c(24,24,20)s(24,16,20)*+
s(48,8,12)c(32,32,20)s(32,40,20)*+
s(8,40,12)s(40,48,20)c(48,32,12)-+
s(40,24,12)s(16,40,12)t(32,24,20)++
s(24,24,28)s(32,24,12)-s(40,40,20)-
s(32,40,20)s(8,40,12)+c(24,24,12)-
t(40,48,20)t(32,48,28)t(32,48,12)-+
c(16,16,12)t(32,40,28)s(32,48,20)*+
s(24,40,28)s(32,48,20)c(16,48,12)--
c(32,40,20)t(32,48,28)t(32,40,28)+*
s(40,40,20)t(32,40,28)s(48,40,12)-+
c(32,32,20)s(24,16,20)s(32,24,12)--
t(24,48,28)t(32,40,28)*s(32,24,12)+
s(16,32,20)c(48,40,12)c(40,48,12)++
s(32,40,28)s(40,32,28)s(32,32,28)**
c(32,40,20)c(40,40,20)+t(40,24,12)-
c(40,32,20)t(32,24,20)+s(32,24,28)*
s(40,32,28)c(24,40,12)-c(48,16,12)-
s(24,32,28)s(24,16,20)-s(40,24,12)+
s(40,32,28)t(40,56,12)c(48,32,12)+-
s(40,32,28)t(24,48,28)-c(40,32,20)*
t(24,24,12)t(24,48,28)t(24,40,28)*+
t(24,48,28)c(16,24,12)c(40,16,12)++
c(16,40,12)t(24,40,28)s(24,24,12)-+
c(24,40,20)s(16,24,12)-s(24,32,28)*
c(16,48,12)s(24,32,20)+t(24,32,28)*
c(40,32,20)s(24,16,20)+t(32,40,20)-
c(32,32,20)c(24,40,20)*t(16,56,12)+
c(40,40,20)s(48,40,20)t(40,32,20)--
c(32,32,20)s(8,32,12)s(40,32,20)+*
s(24,24,20)t(24,48,28)s(32,40,28)*+
s(24,48,20)c(48,32,12)+s(24,48,12)-
c(32,40,20)t(48,40,12)-s(40,40,28)*
s(40,24,28)s(32,40,20)t(32,32,28)*-
s(32,32,28)c(16,32,12)s(32,32,20)+*
c(32,32,28)c(40,24,12)-t(40,48,12)-
c(40,24,12)s(48,32,20)+c(32,24,12)+
t(40,56,12)t(24,40,28)s(24,32,28)*+
s(16,24,20)s(32,40,20)-t(24,32,20)+
t(48,56,12)t(32,40,20)+c(16,24,12)+
t(24,48,28)t(40,48,20)t(32,40,12)--
t(32,40,28)c(24,32,20)*c(24,24,20)+
t(40,56,12)s(16,32,20)+s(40,40,20)-
t(24,56,12)s(16,32,20)c(32,32,28)*+
c(24,16,12)t(24,32,28)c(48,40,12)-+
c(40,40,20)s(8,16,12)+s(48,16,20)+
t(32,48,28)s(24,24,12)+s(32,24,12)-
s(48,40,20)c(32,16,12)+s(40,32,28)+
s(40,32,28)t(32,32,28)s(40,48,20)--
s(40,32,20)s(24,32,28)*c(48,16,12)+
s(32,40,28)s(48,16,20)s(40,48,20)+*
s(40,32,12)c(40,40,20)s(48,48,20)*+
t(24,48,28)s(32,24,20)s(40,32,28)*-
s(48,16,20)s(48,8,12)-t(40,48,20)+
t(32,48,28)t(48,32,12)s(24,24,12)++
t(24,48,28)s(16,32,20)-c(16,48,12)+
s(8,16,12)c(40,24,20)+s(32,32,28)*
c(32,32,20)c(24,40,20)*s(24,48,20)+
s(24,40,28)t(32,40,28)+t(24,32,28)*
s(24,32,28)s(32,40,12)-s(16,16,12)-
t(48,24,12)s(16,24,20)+t(40,56,12)+
c(32,32,28)t(32,40,28)-s(16,16,12)-
s(32,32,28)s(16,48,20)-t(24,32,20)-
s(32,16,20)s(40,40,28)t(40,24,20)*+
c(24,24,20)s(32,32,20)s(40,24,20)--
s(32,40,28)c(32,32,28)s(16,32,12)-*
c(32,32,20)c(40,24,20)t(32,48,28)-+
c(40,40,20)s(24,24,28)s(40,8,12)-+
s(32,24,28)c(24,40,20)-c(48,40,12)-
s(40,40,28)s(32,40,20)c(40,40,20)*-
s(24,40,28)t(32,48,28)s(32,32,20)*-
c(32,40,20)t(40,24,20)s(32,32,28)*-
s(40,24,28)c(48,40,12)-c(32,24,12)-
s(48,16,12)c(24,32,20)+s(24,24,28)*
t(32,40,28)t(16,32,12)+t(32,48,20)-
s(32,8,12)c(24,24,20)+c(16,16,12)-
s(48,40,20)s(32,32,12)-c(48,32,12)+
s(16,40,20)s(24,16,20)s(40,32,20)-+
c(32,32,20)s(32,24,28)s(40,24,12)-+
t(16,40,12)s(40,24,28)s(40,16,20)-+
c(24,24,20)s(32,24,28)c(40,32,12)-*
s(40,40,20)s(40,48,20)*s(8,48,12)+
s(32,32,28)t(24,40,28)c(40,32,20)*-
c(32,32,28)s(24,24,28)*s(32,24,28)*
c(40,24,20)s(24,40,20)s(40,40,20)*-
c(48,16,12)t(32,32,28)s(24,48,20)++
s(40,48,20)c(32,32,12)-s(32,48,20)+
s(24,32,28)s(32,32,28)*t(32,40,28)*
c(32,32,28)t(24,24,20)s(24,16,20)*-
c(32,40,12)t(40,16,12)s(24,16,20)++
s(40,24,28)c(32,32,20)*s(48,32,12)+
c(32,40,20)t(40,32,12)-s(32,32,28)*
s(32,32,28)c(16,40,12)-c(32,16,12)-
s(32,8,12)c(40,40,20)t(32,32,28)*+
s(40,48,20)s(24,24,20)+s(40,40,28)*
t(32,40,28)s(24,16,20)-c(32,24,20)+
s(48,16,20)c(24,48,12)+t(24,40,28)-
t(32,40,28)c(40,40,20)t(24,32,20)+*
t(32,40,28)s(48,48,12)-s(40,40,20)+
s(16,40,20)t(24,32,28)*t(32,32,20)+
s(16,40,12)c(40,32,20)s(16,32,20)-+
t(24,32,12)t(40,32,20)+t(40,40,20)+
s(40,40,12)c(24,24,20)s(32,32,28)*+
s(40,24,20)s(48,40,12)c(32,32,12)++
s(16,32,20)s(32,40,28)*c(40,32,12)+
c(40,40,20)t(32,48,28)t(32,32,28)--
c(40,40,20)s(24,8,12)+c(32,32,20)*
s(16,48,12)c(32,32,28)s(32,40,20)-+
s(40,32,28)s(24,48,20)+c(32,32,28)*
s(40,24,28)c(32,24,20)*c(16,24,12)-
s(40,24,28)c(40,48,12)+t(40,24,12)-
c(24,24,20)s(32,32,20)c(40,32,12)--
c(40,40,20)t(24,48,28)s(40,32,20)--
s(48,32,20)t(24,24,20)+c(40,40,12)-
s(24,40,12)t(32,32,28)s(32,40,12)-+
s(32,24,28)s(16,32,20)t(24,24,12)--
c(48,16,12)t(24,40,28)+s(32,32,28)*
c(24,40,12)t(32,32,28)t(32,40,28)*+
t(32,32,28)t(40,16,12)+s(32,40,28)*
c(24,40,20)s(8,32,12)+s(40,32,12)-
s(16,16,12)s(40,32,28)+t(32,32,12)-
c(32,40,12)s(24,40,12)+c(16,48,12)+
c(24,24,20)s(8,48,12)c(40,32,12)+-
s(40,24,28)s(32,24,28)s(40,8,12)-+
c(32,32,28)s(32,16,20)s(40,24,28)+-
t(24,48,28)c(32,32,12)-t(40,16,12)+
c(24,32,20)t(32,24,20)s(24,16,12)--
c(40,24,20)t(32,40,28)s(16,24,20)++
t(32,48,28)s(40,48,20)c(24,40,20)--
s(24,32,20)t(32,40,20)c(16,40,12)-+
s(24,24,28)s(16,40,20)c(24,40,20)*-
s(32,40,28)c(32,24,20)c(24,24,20)*-
s(32,40,20)t(40,32,12)-s(16,24,20)+
s(24,24,28)s(16,48,20)-c(32,24,20)*
s(40,24,28)s(16,8,12)t(32,48,28)+-
c(32,32,28)s(48,48,12)-t(32,32,28)*
s(40,8,12)s(40,48,20)t(24,32,28)-+
s(16,24,20)s(24,40,20)-c(40,32,12)+
s(48,16,20)s(40,40,28)-s(48,48,12)+
t(24,32,28)c(32,32,20)s(24,16,20)-+
c(32,32,20)t(40,48,20)-t(16,24,12)-
t(32,56,12)t(32,40,12)c(48,48,12)++
c(32,24,20)s(16,24,12)-s(40,32,28)*
c(32,32,20)c(24,40,20)s(24,32,20)+*
t(40,48,20)s(16,16,20)+s(32,32,20)-
t(40,48,20)c(24,32,20)c(32,32,20)*+
t(24,40,20)s(40,40,20)+c(40,32,20)*
s(32,24,12)s(32,48,20)+c(32,40,20)*
s(24,48,20)s(32,24,20)c(40,32,12)-+
t(32,48,28)s(24,24,20)t(48,48,12)++
s(40,32,28)t(48,32,12)-t(40,24,20)-
s(24,32,12)c(40,40,20)s(24,32,20)-+
t(16,16,12)t(32,32,28)c(32,16,12)++
t(32,48,28)s(40,24,12)+s(40,40,12)-
s(48,32,20)s(32,24,12)-s(40,24,28)+
t(24,32,28)s(24,40,28)*c(40,40,20)+
t(24,24,20)t(24,40,28)+t(32,32,12)-
c(40,40,20)s(48,48,20)*s(48,24,20)+
s(40,40,20)s(40,48,20)s(48,48,20)*+
s(24,40,28)t(24,48,28)*t(24,32,20)+
c(32,24,20)s(32,40,20)s(16,40,20)*-
c(48,32,12)s(24,40,20)+s(24,16,20)-
s(40,32,28)s(24,24,28)c(32,32,20)*-
t(48,56,12)s(40,32,28)s(24,24,12)-+
c(32,16,12)s(24,40,28)+s(32,24,28)*
t(24,24,20)s(40,24,28)s(16,24,20)-+
s(24,32,28)s(24,24,28)s(40,24,12)-+
s(24,32,28)c(16,32,12)c(48,24,12)+-
c(16,16,12)s(32,40,28)c(24,40,20)*+
c(32,32,28)s(48,32,12)-s(24,40,20)-
s(24,8,12)s(32,32,28)t(32,48,20)-+
c(32,16,12)t(40,24,20)+s(8,48,12)+
s(40,32,28)c(40,24,20)s(48,32,20)*-
c(40,40,20)t(24,32,20)c(32,24,20)*-
s(40,24,28)s(32,24,28)s(24,24,12)-*
s(40,24,28)t(32,32,28)s(24,32,28)+*
c(32,24,20)s(16,16,12)+s(32,8,12)-
c(40,24,20)t(40,24,12)t(24,32,20)++
s(32,24,28)s(24,32,28)t(24,48,20)+*
s(24,32,28)s(40,40,12)-t(24,40,12)-
c(16,48,12)s(32,24,28)+c(40,40,20)-
c(40,40,20)c(32,40,20)c(24,24,12)+*
s(48,40,20)t(48,32,12)-c(24,24,20)+
s(24,32,28)c(40,24,20)c(32,32,20)+*
s(48,32,12)s(40,24,28)s(24,32,28)*+
c(32,32,28)t(40,24,12)s(48,8,12)+-
s(24,32,28)t(40,32,12)-s(24,24,28)*
s(40,40,20)s(32,24,20)+c(40,32,12)-
c(48,32,12)s(24,32,20)s(32,24,12)-+
c(40,32,20)s(16,24,20)t(24,24,20)*-
c(32,16,12)c(16,48,12)+t(32,32,20)+
s(32,24,28)s(48,40,20)c(32,48,12)--
s(48,48,20)s(24,24,20)+t(40,40,20)-
c(16,48,12)s(32,48,20)s(32,32,12)++
c(40,40,20)s(40,24,20)t(32,32,28)*+
s(40,32,28)t(24,32,12)-s(24,48,12)-
c(32,24,12)s(48,40,20)+s(8,32,12)+
t(24,32,20)t(24,48,28)+s(48,48,20)-
t(32,48,28)s(24,40,28)s(8,40,12)-*
c(40,24,20)s(32,32,20)*c(24,40,20)+
s(16,16,20)s(24,16,20)*s(48,40,12)+
t(32,48,12)s(16,48,20)+c(24,32,12)-
t(24,32,28)s(16,24,20)s(32,16,20)--
s(40,32,28)c(24,40,20)c(24,24,20)+*
s(32,24,28)s(16,8,12)-s(40,32,28)+
s(48,24,12)t(24,48,28)+t(32,48,12)-
s(40,32,28)s(16,32,12)s(40,32,20)+*
t(24,40,28)t(32,40,28)s(40,32,28)*+
s(32,24,28)s(32,24,20)c(32,40,20)*-
s(32,40,20)s(16,32,12)+c(16,24,12)+
s(24,48,20)t(32,40,20)+c(32,40,20)*
c(32,40,20)c(24,40,20)s(40,32,28)--
c(32,40,20)s(40,16,12)+s(40,32,28)*
s(40,40,28)s(32,32,28)*c(40,40,20)*
s(32,24,12)c(32,32,28)s(24,32,20)-+
s(32,32,28)s(40,32,28)*c(48,24,12)-
s(48,8,12)c(32,32,20)+t(32,16,12)-
s(40,24,28)s(40,32,28)*s(24,24,28)+
s(40,32,28)s(24,40,28)*t(48,40,12)+
s(48,32,20)s(32,32,12)-s(32,24,20)+
c(24,40,20)s(32,24,12)t(16,40,12)+-
s(40,32,28)c(32,40,20)-t(32,48,28)+
s(40,32,28)s(24,40,20)-s(16,16,20)-
c(32,32,28)s(48,32,20)c(32,32,20)+-
t(48,24,12)c(32,40,12)+t(24,32,20)+
c(40,32,12)t(24,40,28)t(24,32,28)*+
s(24,48,20)c(24,24,20)s(40,16,12)-+
t(24,32,28)s(48,24,20)c(40,40,20)*-
c(32,32,28)s(24,16,20)s(32,8,12)--
c(48,16,12)s(24,32,20)t(16,40,12)-+
s(40,24,28)s(24,48,20)-t(32,40,28)-
s(32,24,28)t(24,32,28)s(40,48,12)+*
t(32,16,12)t(40,32,20)+t(24,56,12)+
t(24,32,12)s(40,16,20)s(32,16,20)*+
c(48,40,12)s(48,16,20)c(48,32,12)-+
t(24,40,28)c(24,32,20)t(24,32,12)-+
s(32,32,28)c(40,40,20)s(16,32,20)--
t(40,24,12)t(32,40,28)s(24,40,20)*+
s(32,48,12)s(32,24,20)+t(40,24,12)-
c(40,40,20)s(40,32,28)s(32,16,12)-*
s(24,24,28)t(24,48,28)+c(16,32,12)-
c(32,32,20)s(16,40,20)s(24,32,28)*+
s(24,24,28)s(40,24,28)-s(40,24,12)+
s(40,48,20)s(8,16,12)+t(16,32,12)+
t(32,32,20)s(16,32,20)+s(32,24,28)*
s(24,48,20)c(24,16,12)+t(32,16,12)-
c(32,40,20)s(32,16,20)-t(40,24,20)-
c(24,24,20)c(32,32,20)*s(32,32,20)+
c(24,24,20)s(40,24,20)s(16,16,20)--
s(24,32,20)s(40,32,28)+t(24,32,12)-
c(24,48,12)s(32,24,28)s(24,32,28)*+
s(40,32,28)s(16,32,20)s(24,40,28)*-
c(40,24,20)s(40,32,28)t(24,40,20)-*
s(32,32,28)t(24,32,12)-s(48,40,12)-
s(8,24,12)c(24,40,20)s(40,24,28)-+
s(24,24,28)t(24,32,28)t(32,48,28)+*
c(40,32,20)s(32,24,28)t(16,16,12)-*
t(24,48,28)c(40,24,20)s(32,32,28)*-
s(16,32,20)t(24,24,20)-s(40,48,12)+
s(40,24,28)c(24,32,20)t(32,24,20)*-
c(24,32,20)s(16,32,20)c(24,40,20)+*
c(48,16,12)s(40,40,28)s(16,32,20)-+
s(32,8,12)s(48,16,20)+s(48,48,20)+
c(40,32,20)t(32,40,20)-t(40,48,12)+
t(32,32,28)s(16,24,20)c(16,40,12)--
c(24,32,20)s(16,40,20)s(32,40,20)--
s(32,24,28)c(24,48,12)+t(32,40,28)-
s(24,16,20)s(16,48,20)c(40,32,20)-+
s(40,32,28)s(16,16,20)s(16,24,20)*-
c(32,32,28)t(32,40,28)s(24,48,20)*-
s(24,32,28)t(40,40,20)t(32,32,12)--
c(32,32,28)c(32,48,12)-s(48,16,20)-
c(40,24,20)t(24,32,28)c(24,40,12)--
c(16,16,12)c(32,32,20)c(16,40,12)-+
s(48,8,12)s(24,24,28)c(32,32,28)*+
s(24,40,28)t(32,32,28)*s(48,40,20)+
s(32,40,28)c(40,32,20)c(24,32,20)--
s(24,32,20)s(48,32,20)c(32,40,12)-+
s(24,40,28)s(16,40,20)s(24,48,20)*-
s(40,32,28)t(48,40,12)-s(48,48,12)+
s(8,8,12)c(32,40,20)+s(40,32,28)*
c(24,40,20)s(32,32,28)s(32,16,20)*-
s(40,40,20)s(40,24,20)*c(24,40,20)+
s(24,24,20)c(32,40,20)+t(24,32,12)-
c(48,24,12)s(32,48,20)s(24,40,20)*+
s(32,40,28)s(48,40,20)+t(32,48,12)-
t(24,48,28)c(24,32,20)s(32,24,20)*-
c(40,32,20)t(24,32,28)s(16,32,20)*-
c(40,32,12)c(32,40,20)s(32,16,20)-+
c(32,32,20)s(24,24,28)c(32,32,28)**
t(16,24,12)t(16,56,12)+t(40,40,20)+
c(24,32,20)s(32,16,20)s(24,16,20)*-
t(32,32,20)t(24,32,12)-s(32,48,20)+
s(40,32,20)t(24,48,28)+c(16,32,12)-
c(24,40,20)s(32,40,20)*c(16,48,12)+
s(8,40,12)s(40,40,20)s(24,40,28)*+
c(32,32,28)s(48,24,20)s(48,48,20)--
c(24,40,20)s(48,40,20)s(32,32,12)--
c(32,40,20)s(40,24,20)t(40,32,12)--
s(24,24,28)c(40,24,20)+s(32,16,12)-
s(24,16,20)c(16,40,12)+s(8,32,12)-
c(24,32,20)t(32,24,20)*c(16,40,12)+
s(40,40,20)t(16,24,12)+s(40,40,28)*
t(24,32,28)s(24,32,28)s(40,48,12)-*
s(24,40,28)s(40,48,12)t(32,32,28)+*
s(24,32,28)t(24,48,20)-c(32,32,12)-
c(32,32,20)s(24,32,28)*s(48,16,20)-
s(48,32,20)c(16,16,12)+s(24,40,28)+
s(24,32,28)s(24,48,12)-s(32,32,28)*
c(24,40,12)t(48,32,12)s(32,8,12)++
s(24,24,28)s(32,32,20)s(48,40,20)--
c(32,32,20)s(32,24,28)*t(40,48,20)-
s(40,48,20)t(40,16,12)+s(40,40,28)*
s(8,48,12)t(40,32,20)+c(40,40,12)+
t(32,56,12)s(16,32,20)c(24,32,20)*+
s(40,24,20)s(40,16,20)*s(16,40,20)+
s(40,32,28)s(32,24,28)s(32,40,28)*-
s(32,32,20)s(48,16,20)s(48,8,12)-+
s(48,32,12)s(24,32,20)s(32,32,20)*+
t(32,32,28)s(48,24,20)s(40,16,20)*-
s(24,32,28)c(32,32,20)*s(24,24,28)*
c(24,40,20)s(32,32,20)t(32,24,20)*+
c(32,24,20)t(24,40,20)+s(40,24,28)*
s(48,40,20)c(40,24,20)s(48,24,20)-+
t(32,40,28)s(32,32,20)*c(16,48,12)+
t(24,48,28)t(32,32,28)+c(24,32,12)-
t(32,32,28)c(32,40,20)*t(40,32,20)+
s(24,32,28)s(40,32,20)-c(32,32,28)*
s(16,16,20)s(48,16,20)c(32,24,12)-+
s(40,40,28)s(40,32,20)c(16,16,12)++
c(32,40,20)c(16,16,12)+s(48,24,20)+
s(16,16,20)c(32,40,20)+t(40,40,12)-
s(24,24,28)c(40,40,20)s(48,40,20)+-
c(24,24,20)s(24,8,12)c(48,48,12)+-
c(32,32,28)t(32,40,28)s(40,40,20)*-
s(48,16,20)c(24,40,20)t(24,32,28)*+
s(16,40,20)t(24,40,28)*t(48,48,12)+
s(48,24,20)c(40,32,12)-s(32,8,12)+
s(40,16,20)c(24,24,20)s(32,24,20)*+
s(16,16,12)s(40,16,20)+c(24,24,12)+
s(40,40,28)c(24,40,20)*t(24,16,12)+
c(24,24,20)s(40,16,20)*s(48,24,20)+
s(40,16,12)s(24,40,28)s(16,24,20)*+
c(24,24,20)t(16,16,12)-s(48,40,20)-
s(24,48,20)c(40,40,20)s(40,32,20)-+
s(32,40,28)s(40,32,28)*s(48,40,20)+
s(40,32,28)s(32,40,20)*s(32,24,28)+
c(24,24,20)s(40,24,28)*s(40,40,12)+
c(24,24,20)s(48,32,20)+s(24,16,12)-
s(16,48,20)c(40,24,12)+s(24,40,12)-
c(40,40,20)c(40,32,20)*c(24,32,20)+
s(24,40,28)t(16,24,12)-s(40,24,28)-
s(32,32,28)s(40,40,28)*c(48,48,12)-
c(32,40,20)c(24,24,20)-c(40,40,20)+
c(40,32,20)s(16,24,12)+s(32,40,28)*
c(32,32,28)c(32,48,12)-s(48,16,12)-
s(24,32,28)t(40,40,12)-s(32,16,20)-
t(40,32,12)s(16,24,20)+s(48,32,12)-
t(32,32,28)t(24,32,28)*c(24,16,12)+
c(24,40,20)s(40,40,20)t(40,32,20)*-
c(24,40,20)s(48,24,20)s(32,16,12)-+
s(32,24,28)s(32,32,20)s(16,32,20)+*
s(48,16,20)t(24,48,28)s(40,16,12)++
t(40,24,12)s(40,40,20)+c(24,48,12)-
s(24,24,28)s(40,16,20)s(48,8,12)--
t(24,40,20)t(40,24,20)+c(32,32,20)*
s(24,40,28)c(40,32,20)s(24,32,20)*-
s(32,40,20)t(32,32,20)-c(24,16,12)+
s(40,48,20)s(40,32,28)*s(16,40,20)+
c(40,24,20)c(40,32,20)s(32,48,20)*-
s(32,32,28)c(48,48,12)-c(32,24,20)*
s(40,32,28)t(24,32,28)s(16,32,12)--
c(24,40,20)c(40,24,12)-c(24,24,12)-
t(24,32,28)t(32,32,28)s(32,24,28)+*
s(40,32,28)s(16,24,20)t(24,24,20)*-
s(24,40,28)c(40,40,20)t(16,56,12)+*
s(40,32,28)t(40,32,20)t(48,40,12)--
c(40,40,20)s(8,40,12)+s(24,40,12)-
c(24,24,12)s(48,48,20)t(40,48,12)-+
c(24,24,20)s(48,32,20)-t(32,24,12)-
c(24,40,20)s(32,48,12)s(24,24,28)+*
t(32,40,28)s(32,32,28)*c(40,16,12)-
s(24,32,20)s(32,24,20)*c(32,48,12)+
s(32,32,28)s(16,24,20)s(16,16,12)--
c(32,32,28)c(32,40,20)-t(24,32,28)-
c(40,32,20)s(24,24,20)s(40,24,28)*-
t(16,16,12)t(16,40,12)c(32,40,12)++
s(32,32,28)s(16,32,20)*s(32,8,12)+
s(32,24,28)c(40,32,20)*s(32,40,20)+
s(32,24,20)c(48,16,12)+s(16,16,12)-
s(48,24,12)s(32,48,20)+s(32,32,12)-
c(40,40,20)t(24,48,28)c(24,40,12)-+
t(24,40,20)c(48,24,12)+c(16,24,12)+
c(32,24,20)s(16,32,20)t(24,32,20)*-
s(32,32,28)t(32,32,12)-s(24,48,20)-
s(32,24,28)t(40,24,12)-t(32,40,12)-
c(24,40,20)t(32,24,20)s(24,32,28)*-
t(24,48,20)c(24,32,20)s(32,24,28)*+
c(24,32,20)c(40,24,20)c(16,40,12)+*
t(40,56,12)s(40,24,28)t(24,40,20)-+
s(32,24,28)s(24,24,28)*s(32,40,12)-
t(32,32,20)c(16,24,12)-c(16,32,12)+
s(40,24,20)s(16,24,20)c(32,24,20)*+
c(24,16,12)s(32,32,28)s(40,32,28)*+
s(40,24,28)s(16,24,20)t(24,32,28)*-
s(32,40,20)c(40,40,20)s(40,24,28)*+
s(24,32,28)c(32,32,20)c(48,16,12)-*
c(32,32,28)s(48,48,20)-c(24,32,12)-
t(32,32,12)t(24,48,28)s(32,32,12)-+
c(24,24,20)s(32,16,20)+s(24,32,28)*
s(32,24,28)t(32,40,28)t(40,48,20)--
t(24,32,28)t(16,56,12)c(32,40,20)++
s(24,40,28)s(40,24,20)s(48,32,12)--
s(24,40,28)s(40,32,20)t(40,40,20)--
c(24,24,20)s(24,40,20)c(32,24,20)*-
s(32,16,12)s(16,24,12)+c(40,24,12)+
c(32,48,12)c(24,24,20)s(16,16,20)*+
s(40,24,28)c(24,16,12)-s(32,24,12)-
s(40,40,28)c(24,24,12)-s(24,24,28)-
s(24,24,20)s(16,32,20)*s(16,16,20)+
s(40,32,28)s(40,32,20)c(24,40,20)*-
s(32,48,20)s(24,40,28)*s(24,32,28)+
s(40,24,28)s(24,24,28)s(24,16,20)--
t(40,24,20)s(32,32,28)*c(40,40,20)+
s(32,40,28)c(24,40,20)*t(24,40,28)*
s(24,40,20)t(16,16,12)+s(16,16,12)-
s(24,32,28)c(40,24,20)s(32,8,12)--
s(32,24,28)c(24,24,20)s(48,40,20)-*
c(16,16,12)t(24,32,28)t(32,40,20)*+
c(32,32,28)s(24,24,28)*s(24,32,28)*
s(16,40,20)c(24,40,20)t(32,48,20)-+
t(32,32,20)t(32,56,12)+s(8,24,12)+
s(40,24,28)s(40,32,28)*t(48,16,12)-
s(40,40,20)c(24,48,12)t(24,40,12)++
t(40,24,12)c(24,40,20)+c(32,40,20)*
s(48,48,20)s(32,16,12)+c(40,32,12)-
t(24,16,12)s(32,32,20)c(16,16,12)-+
t(32,48,20)s(48,48,20)+s(40,40,12)-
c(40,24,20)t(32,40,20)+s(24,32,28)*
t(40,40,20)s(48,16,20)s(40,48,12)++
s(16,48,12)c(32,32,20)s(24,24,20)*+
s(40,24,28)c(24,32,20)c(24,40,12)--
s(16,40,20)t(24,32,28)t(32,32,20)*+
s(8,32,12)c(32,40,20)t(32,32,12)-+
s(32,32,28)c(48,40,12)s(32,40,12)+-
s(8,8,12)s(24,32,20)+t(24,40,12)-
t(40,32,20)s(32,24,28)c(32,16,12)-+
s(40,40,28)c(32,32,20)+c(24,40,12)-
s(32,24,28)c(24,32,20)t(40,32,20)+*
c(40,32,20)s(32,16,20)-s(48,32,20)+
s(24,40,28)s(24,32,28)*s(24,24,28)*
c(32,24,20)s(16,48,20)s(32,40,28)*-
c(40,48,12)c(32,24,20)+s(24,40,28)*
t(24,32,28)c(40,32,20)+c(40,40,20)*
s(8,32,12)s(24,32,20)+s(24,24,28)+
s(24,24,28)s(24,24,20)t(32,16,12)--
s(16,8,12)s(40,40,20)s(48,40,20)*+
c(32,24,20)t(32,16,12)-s(24,24,28)*
s(32,24,28)c(32,32,20)s(48,40,12)-*
s(24,40,20)t(32,32,28)c(40,48,12)-+
s(24,40,28)s(40,40,20)-s(40,40,20)+
t(40,56,12)s(40,24,28)+t(48,16,12)-
s(48,32,20)s(32,16,12)c(40,32,12)++
t(32,48,28)c(24,40,20)+s(48,48,20)-
s(48,16,12)s(24,40,28)+s(40,24,28)*
s(32,24,20)t(40,24,12)-t(16,32,12)+
c(40,48,12)s(24,24,20)c(24,24,12)-+
c(24,40,20)s(40,40,28)+s(24,16,20)+
t(24,40,28)c(16,24,12)s(48,8,12)+-
t(24,40,28)c(16,32,12)-s(40,32,28)+
s(16,32,20)s(48,16,12)+s(48,32,20)-
s(40,40,12)s(24,32,20)+s(48,48,20)-
s(32,24,28)s(40,32,28)c(40,24,20)**
c(24,24,12)c(48,40,12)t(16,48,12)++
s(40,8,12)t(24,32,28)s(32,48,20)-+
s(32,40,20)t(40,24,20)s(32,24,20)*+
s(40,48,12)s(16,24,20)+t(24,40,12)+
c(40,40,20)s(32,48,20)t(24,32,28)--
t(24,40,28)s(40,32,28)t(32,40,20)--
c(32,40,20)s(32,40,28)s(32,32,28)**
s(32,40,20)s(32,40,28)s(40,48,20)*+
s(32,40,28)c(48,48,12)-c(24,24,12)-
t(24,40,20)s(24,48,20)t(32,48,28)*+
c(32,32,28)s(32,40,20)s(24,32,20)*-
c(24,32,20)t(24,40,28)*c(48,40,12)+
s(40,40,28)s(32,24,12)s(48,48,20)+*
c(40,24,20)t(32,32,28)*s(16,24,20)+
s(24,32,28)s(16,40,20)c(16,32,12)--
s(16,24,20)s(24,40,28)*s(40,24,28)+
c(40,32,20)c(16,40,12)c(24,24,12)+-
s(32,40,28)s(40,40,20)s(32,32,28)*-
c(32,32,28)t(32,24,20)-s(40,48,12)-
s(32,24,28)c(32,32,28)s(48,48,20)-*
t(24,48,20)t(24,32,28)c(40,40,20)*+
t(40,48,20)s(48,24,20)c(40,24,20)*+
s(24,24,28)c(40,48,12)+c(24,32,20)*
s(24,48,12)c(40,32,20)t(24,32,20)-+
t(24,32,28)c(40,24,12)+s(40,40,12)-
s(24,32,28)s(40,32,28)s(32,32,28)**
c(32,40,20)s(32,32,28)*s(40,40,28)*
c(24,24,20)t(40,40,12)+c(40,40,12)-
s(24,40,20)s(40,24,28)+t(24,40,12)-
t(16,40,12)s(40,32,28)+t(48,40,12)-
s(48,16,20)c(32,24,20)t(32,16,12)-+
c(40,32,20)c(24,24,20)s(16,32,20)*-
s(24,40,20)s(32,16,12)+s(40,32,28)+
s(24,40,12)s(24,40,28)s(32,40,20)-+
s(16,40,12)s(16,24,20)+t(24,16,12)-
s(48,40,20)s(16,40,12)+s(40,24,20)-
s(24,40,20)s(48,40,20)s(40,24,20)-+
s(24,32,28)s(32,24,20)-t(32,56,12)+
s(32,40,28)s(40,8,12)t(40,48,20)+-
s(48,16,20)s(48,24,20)*t(48,56,12)+
s(40,40,20)s(32,32,28)*s(16,48,20)+
c(24,32,20)c(24,24,20)s(32,32,28)**
t(24,48,28)c(32,40,12)-c(48,24,12)+
s(24,40,28)t(40,48,20)-t(32,32,20)-
c(32,32,28)c(32,24,20)-s(24,24,28)-
t(32,48,28)s(24,24,20)c(40,24,20)*+
t(32,40,28)c(40,40,12)-s(32,16,12)+
t(32,40,28)s(40,32,28)t(48,16,12)-*
s(24,24,28)t(40,24,12)t(40,16,12)+-
s(16,24,20)s(40,48,20)+s(32,24,28)-
t(32,48,28)s(40,32,12)+s(48,32,20)-
s(16,48,12)t(24,32,20)s(40,40,28)++
c(32,40,20)t(32,24,12)-t(32,48,12)-
s(32,32,28)s(24,40,28)t(40,24,20)--
s(40,32,28)s(40,48,12)-c(16,40,12)-
c(32,32,28)c(24,32,20)t(24,40,28)--
s(24,24,20)c(24,40,20)t(24,32,12)-+
t(32,40,28)s(32,40,28)s(24,40,28)**
s(32,24,28)c(32,32,28)s(48,32,20)*-
c(32,32,28)s(24,48,12)t(40,24,20)+-
s(8,40,12)s(32,32,28)t(32,40,28)*+
s(32,16,12)s(24,48,20)s(32,48,20)*+
c(32,32,20)t(32,16,12)-s(32,32,20)+
s(48,32,20)t(32,40,12)-s(40,16,12)+
c(24,40,20)t(40,40,20)s(40,48,20)*-
s(40,24,28)s(40,32,28)c(48,32,12)-*
t(48,56,12)s(40,32,28)+s(48,32,12)-
c(24,24,20)c(40,24,12)-c(24,48,12)-
c(32,40,12)c(48,40,12)+s(8,24,12)+
s(40,40,28)t(40,32,12)-c(40,32,20)*
s(24,40,20)s(16,32,20)s(32,32,20)*+
c(48,32,12)s(48,48,20)t(32,48,28)*+
s(24,24,20)t(32,32,28)*s(8,16,12)+
s(32,24,28)t(48,24,12)s(32,48,12)+-
s(48,40,20)s(48,32,20)*s(32,32,28)+
s(24,32,28)s(48,32,20)s(32,40,28)*-
t(32,48,28)s(16,48,20)*c(48,48,12)+
s(24,40,28)s(24,32,12)-c(32,32,28)*
s(16,32,20)c(40,24,20)+s(40,24,28)*
s(40,40,28)s(40,32,28)c(48,16,12)-*
t(24,40,12)t(48,16,12)+s(48,40,20)+
t(40,48,20)s(24,48,20)s(16,40,20)*+
t(16,32,12)s(40,16,20)+c(32,48,12)+
c(48,48,12)c(24,24,20)s(16,24,20)*+
s(24,24,28)c(40,40,12)c(16,40,12)+-
c(40,24,20)s(24,24,28)*t(48,16,12)+
s(24,32,28)s(32,32,20)s(48,40,12)--
s(48,40,12)t(32,48,28)t(24,40,28)*+
s(40,48,12)c(32,24,20)+c(40,40,12)-
t(32,40,28)s(40,32,28)+s(24,32,20)-
s(40,32,20)t(24,48,28)-t(24,24,20)+
s(40,40,28)t(32,40,20)-c(24,32,12)-
s(8,48,12)s(32,32,20)+c(40,24,12)+
c(24,24,20)c(32,32,20)*c(16,24,12)+
c(40,32,20)t(32,24,20)t(40,16,12)--
c(48,48,12)s(40,40,28)s(48,24,20)*+
s(32,48,20)c(40,32,20)*c(40,24,12)+
t(24,48,28)s(48,48,20)t(48,48,12)--
c(24,40,20)s(16,24,12)s(8,8,12)+-
c(32,32,28)s(40,48,20)-s(16,32,20)-
s(40,32,28)s(24,32,28)s(40,48,20)--
s(16,24,12)t(32,24,12)t(40,40,20)++
s(32,40,20)s(24,32,28)*t(24,32,20)+
c(40,24,20)s(40,40,20)c(48,24,12)--
c(32,24,20)t(32,32,28)+c(24,40,12)-
s(32,40,28)c(32,32,20)*c(48,24,12)-
c(32,32,12)s(8,16,12)+s(32,40,20)+
t(48,24,12)t(24,40,28)c(40,48,12)++
t(32,32,28)s(40,48,20)c(40,40,12)-+
s(48,16,12)s(40,40,20)+s(32,48,12)-
s(32,16,20)c(24,24,12)-t(32,40,28)+
c(24,24,20)c(24,32,20)c(48,24,12)+*
s(16,24,20)s(40,40,28)+c(32,32,28)*
s(40,40,28)s(32,32,28)*s(24,48,12)-
s(24,40,20)s(40,40,28)+t(24,48,28)-
s(24,24,20)c(48,24,12)+t(40,16,12)-
s(40,24,28)c(40,40,20)*c(48,40,12)+
s(48,8,12)s(16,16,20)s(24,24,28)*+
s(32,24,28)s(32,32,20)t(32,40,20)*-
s(24,24,20)s(24,16,20)*s(24,32,12)+
s(24,40,20)s(32,40,12)-c(16,16,12)+
c(32,32,28)c(40,32,20)c(32,16,12)--
s(32,40,28)s(24,32,20)s(40,24,28)*-
s(24,24,12)s(8,40,12)s(16,16,12)++
s(32,24,28)s(16,40,20)t(32,40,20)--
s(40,40,28)c(32,32,20)s(16,40,20)*-
s(24,32,28)c(24,24,20)t(24,40,28)*-
t(24,16,12)s(40,32,28)c(40,24,20)*+
s(24,16,12)s(32,40,28)s(40,48,20)*+
c(24,24,20)s(16,32,12)-c(16,32,12)+
t(32,40,28)s(8,8,12)+s(24,40,28)*
s(32,48,12)s(24,24,20)+s(24,24,12)-
t(32,40,20)c(16,40,12)+s(32,24,12)+
t(24,40,28)s(32,32,28)+c(40,48,12)-
s(16,32,20)s(24,16,12)c(24,40,12)++
s(40,24,28)c(48,16,12)c(24,24,20)++
c(40,24,12)c(24,40,20)s(32,40,20)*+
s(24,24,28)s(24,40,28)c(32,48,12)-*
t(32,40,28)s(48,40,12)t(48,24,12)+-
t(24,56,12)s(48,24,20)s(40,24,12)-+
s(24,40,28)s(40,40,20)+t(24,48,20)-
s(32,24,20)t(40,40,20)-s(16,8,12)+
s(48,16,12)c(32,16,12)+s(24,24,12)+
t(24,40,28)s(16,24,12)-t(40,40,12)-
s(40,24,28)s(32,32,20)s(24,40,28)*-
c(32,40,20)s(24,48,20)s(40,40,20)--
t(24,40,28)c(40,24,20)-c(24,32,12)+
s(40,24,28)s(32,24,20)s(40,40,20)--
s(40,32,28)s(32,40,28)s(24,32,28)*-
c(24,24,20)s(40,32,28)c(16,40,12)+*
s(32,24,28)s(32,24,20)s(32,32,20)*-
s(32,24,28)s(32,32,28)c(48,24,12)-*
s(40,32,28)c(16,40,12)+s(24,40,28)*
c(24,32,20)c(40,24,20)+c(24,24,20)*
s(32,32,28)s(40,24,28)c(32,40,12)--
c(32,40,20)s(32,24,20)t(32,40,20)+*
s(40,24,20)s(24,48,12)+s(48,48,20)-
s(24,24,28)s(32,40,20)t(32,48,28)*-
c(32,40,20)s(40,48,20)-s(16,24,12)+
s(24,48,20)s(16,24,20)+s(32,40,28)*
c(48,48,12)t(32,24,20)+t(40,40,12)-
s(48,16,20)c(24,24,20)-t(48,48,12)+
c(24,24,20)t(24,40,20)-c(40,24,12)+
s(24,40,28)t(24,32,28)s(24,16,20)*-
s(32,32,28)s(32,24,12)-t(16,40,12)-
s(24,24,28)s(16,32,12)-t(16,16,12)-
c(32,40,20)c(32,32,20)c(32,16,12)-+
s(16,24,20)s(40,40,28)s(16,40,20)-+
t(40,40,20)s(24,40,20)s(40,48,12)-+
c(32,32,28)c(32,32,12)-s(24,48,20)-
s(40,24,28)c(32,40,20)c(32,32,20)*-
s(40,8,12)s(24,40,20)t(32,32,12)-+
s(48,16,20)s(40,48,20)s(40,40,12)-+
c(40,24,20)t(48,40,12)-c(32,24,20)*
s(32,24,28)t(40,32,12)c(16,16,12)+-
s(16,16,20)s(40,32,28)-c(32,32,20)+
c(24,40,20)s(16,16,20)-c(24,24,12)-
s(48,48,12)s(24,16,20)+s(32,40,20)-
c(32,40,20)s(40,24,28)+c(24,32,20)*
s(24,48,20)s(40,48,20)-s(16,32,20)+
s(40,24,28)s(32,32,28)s(48,16,12)-*
s(24,48,20)t(24,24,12)+t(24,40,28)*
s(48,32,20)t(40,24,12)t(40,48,12)++
c(32,40,20)c(48,16,12)+s(32,32,20)-
t(32,32,20)t(40,48,20)+t(32,40,28)*
s(24,32,28)c(24,24,20)c(24,32,12)--
s(32,24,28)s(40,16,20)*s(8,8,12)+
s(40,32,28)s(24,24,20)s(24,24,12)--
s(40,48,20)c(32,24,12)+t(32,40,12)-
s(16,32,20)s(24,40,20)+t(32,40,20)-
s(40,40,28)t(32,40,28)s(48,40,20)*-
t(24,40,28)s(40,24,20)c(24,24,20)*-
s(24,24,28)c(32,32,28)*c(16,32,12)-
c(40,40,20)s(40,48,20)*s(24,32,28)+
t(32,56,12)t(40,24,12)+c(32,40,20)+
s(32,32,28)t(40,32,12)s(40,48,12)+-
t(48,40,12)s(24,32,20)+s(40,48,12)-
t(40,40,12)s(48,40,20)s(40,40,12)-+
c(32,32,28)t(32,48,28)*t(24,24,12)+
s(8,48,12)c(32,32,20)+s(32,24,20)+
s(32,24,28)s(32,32,28)*c(24,24,20)*
c(40,48,12)s(32,16,20)t(32,32,20)-+
s(24,24,28)s(32,40,28)c(40,24,20)*-
s(40,16,12)t(24,48,28)+t(40,32,20)+
s(32,24,28)s(48,48,12)+s(32,40,28)*
t(32,40,28)c(24,32,20)s(16,24,20)++
s(40,32,28)c(40,24,20)t(16,56,12)+*
s(48,40,20)t(16,40,12)+c(32,32,12)-
c(24,40,12)s(32,8,12)+t(40,24,12)+
c(16,16,12)c(16,48,12)c(24,32,20)++
s(16,16,12)s(40,32,20)s(24,40,28)*+
s(24,40,28)t(24,24,20)t(32,24,12)--
s(16,32,20)t(48,16,12)+s(24,32,12)-
s(32,40,28)t(16,48,12)-c(24,40,12)-
c(32,32,28)t(40,32,20)-s(24,24,28)*
c(32,32,28)s(16,40,12)-c(40,40,20)*
s(24,32,12)c(16,16,12)+t(24,56,12)+
t(24,32,28)s(48,24,20)-c(16,48,12)+
s(32,24,28)s(24,48,20)c(40,40,20)-+
t(40,24,20)s(16,48,20)+s(32,40,12)-
s(24,32,20)s(16,40,20)*s(40,32,20)+
s(24,32,28)s(40,16,20)t(32,16,12)--
s(48,24,12)s(24,48,12)+t(40,40,12)+
c(24,32,12)s(48,40,20)s(40,40,12)-+
s(40,40,28)s(16,24,20)-s(24,40,20)-
s(40,40,12)s(40,24,28)c(32,24,20)*+
c(32,32,28)c(24,24,12)-s(24,24,28)*
t(40,24,20)t(24,48,28)t(48,48,12)++
s(24,32,28)s(24,24,28)c(32,24,12)-*
t(24,32,20)s(32,32,20)+s(8,40,12)+
s(40,16,20)c(32,40,20)c(32,32,20)*+
s(40,24,28)c(32,40,20)t(40,48,12)--
s(24,24,20)s(16,40,20)s(32,40,20)-+
s(40,24,28)c(32,32,28)*s(40,40,20)-
s(32,24,28)s(40,32,20)-s(16,24,20)+
t(24,48,28)c(40,40,20)s(40,24,28)*+
t(40,32,20)s(24,32,20)+s(32,48,12)-
c(40,24,20)c(40,32,20)*c(32,24,20)+
c(32,32,28)t(24,48,28)+s(32,48,12)-
s(40,40,28)s(32,32,28)s(32,24,28)++
s(32,40,28)c(24,40,20)*c(24,32,20)*
s(40,40,28)s(16,24,20)-s(24,48,20)-
s(48,8,12)s(40,32,28)c(24,40,20)*+
s(40,40,28)s(32,24,20)c(24,32,20)*-
c(32,32,20)t(24,32,28)s(48,48,12)+*
s(40,40,28)c(48,48,12)-c(24,48,12)-
t(40,24,12)c(32,16,12)+s(16,24,20)+
s(32,16,20)c(24,40,20)+t(32,32,28)*
s(32,40,28)c(48,48,12)-t(24,24,20)+
s(40,32,28)t(48,16,12)-t(24,48,20)-
s(40,40,20)t(40,48,20)*c(16,48,12)+
c(32,24,20)s(40,40,20)s(40,48,20)*-
s(40,40,28)s(32,40,28)c(16,32,12)-*
c(32,32,28)s(24,16,20)-s(48,40,20)+
c(40,16,12)c(24,32,20)c(24,40,20)*+
s(24,24,28)s(32,24,12)-s(32,24,20)+
c(32,24,20)c(24,32,20)*t(24,40,28)+
s(40,40,20)s(24,40,28)+t(32,48,28)*
s(32,32,28)c(40,24,12)s(16,24,12)+-
t(32,24,20)s(24,32,28)*c(40,48,12)+
s(24,48,20)s(24,16,20)+c(32,32,20)*
s(48,16,20)s(40,24,20)*s(32,16,20)+
s(32,16,20)t(24,40,28)c(40,40,20)*+
s(16,16,20)t(24,48,12)+t(32,32,20)-
s(32,32,28)s(40,24,12)-s(16,32,12)-
s(24,16,20)c(40,32,12)s(24,16,12)++
s(40,24,28)c(40,24,12)-s(16,40,20)+
s(40,32,28)t(40,40,20)-s(48,24,20)+
c(24,48,12)s(32,32,28)s(40,24,28)*+
s(32,16,20)s(24,16,12)-t(24,40,12)+
s(32,40,28)c(32,32,20)*c(16,48,12)-
s(32,40,28)s(32,48,20)c(32,48,12)--
c(40,32,20)s(32,40,28)s(32,32,28)**
c(24,32,20)s(40,24,12)-t(16,32,12)-
c(32,24,20)s(24,32,20)c(24,40,12)--
c(32,24,20)s(24,40,12)-s(40,48,20)-
c(24,40,12)s(16,24,20)t(16,24,12)-+
s(8,16,12)c(24,24,20)+c(40,40,20)-
s(24,40,20)s(32,32,28)*c(48,16,12)+
t(40,48,12)c(32,32,20)c(24,32,20)*+
c(32,32,20)t(32,48,20)t(24,48,28)*-
c(40,24,20)c(24,48,12)+s(48,48,12)+
s(40,24,28)s(24,24,28)t(40,48,12)+*
t(40,48,20)s(32,32,12)-s(48,16,12)+
s(24,24,28)s(32,32,20)s(16,32,20)--
c(24,32,20)s(24,32,20)t(24,56,12)+*
s(24,24,28)s(24,16,20)s(32,32,28)*-
s(32,16,12)c(32,32,20)s(32,48,12)-+
s(16,24,20)s(8,8,12)-s(32,40,12)+
s(24,24,28)t(24,32,28)c(32,40,12)--
s(40,48,20)s(32,40,28)c(24,32,12)-+
c(24,16,12)s(48,48,12)s(48,40,12)++
t(24,48,28)c(24,32,12)+c(24,40,20)*
c(32,32,28)s(48,40,20)s(32,40,20)*-
s(32,16,20)c(24,40,12)+s(32,40,12)-
c(40,40,20)s(32,32,28)+t(24,48,28)+
s(32,32,20)s(40,40,28)s(40,24,20)*+
s(40,40,28)t(24,24,20)s(16,24,20)*+
s(40,24,20)s(40,16,20)*s(48,16,20)+
s(24,32,28)s(16,40,20)*s(48,24,20)+
c(32,24,20)c(32,48,12)+c(32,40,20)*
s(24,24,28)s(32,24,20)s(8,48,12)+*
s(24,32,28)t(40,48,20)t(24,40,28)+*
s(48,24,20)s(32,48,20)+t(32,48,28)*
c(24,32,20)t(32,48,12)-t(16,32,12)-
s(48,24,20)s(32,24,20)*s(40,32,20)+
s(24,48,20)t(32,48,28)*t(48,16,12)+
c(40,24,20)s(16,40,12)+t(32,16,12)-
s(24,24,28)t(24,24,12)s(40,24,12)+-
s(24,32,28)c(32,40,20)*s(24,32,20)+
c(32,32,28)s(16,24,12)-s(48,24,12)-
t(16,40,12)c(32,32,20)s(32,24,28)*+
s(48,40,12)s(16,24,20)+s(48,48,20)-
s(40,40,28)s(24,24,28)*s(16,8,12)+
c(32,24,20)s(32,24,28)s(16,48,20)-*
s(40,40,28)s(48,24,20)*c(16,24,12)+
s(32,48,20)c(32,32,28)*t(24,24,12)+
s(16,48,20)c(32,40,20)s(48,48,20)*+
s(32,32,28)c(24,16,12)-s(32,40,12)-
t(24,24,20)t(24,32,28)s(16,32,20)*+
s(40,40,28)t(32,48,28)t(48,16,12)+*
s(24,40,28)t(24,32,28)s(32,48,20)--
s(32,24,20)c(32,40,20)s(40,48,12)-+
s(32,40,20)s(40,32,28)*t(48,48,12)+
s(16,16,20)s(32,24,28)c(24,16,12)-+
s(24,32,28)c(32,24,20)s(40,32,28)*-
s(40,32,28)c(48,32,12)-t(40,48,20)-
c(40,32,20)s(24,24,20)s(16,32,20)*-
s(48,24,20)s(16,40,20)+s(40,32,12)-
s(32,40,28)s(24,24,20)-s(32,24,28)+
s(24,24,20)s(40,16,20)+t(24,40,20)-
s(32,32,28)c(40,40,20)c(40,32,12)--
s(40,40,28)c(40,32,20)c(48,40,12)--
s(40,24,28)s(16,24,20)c(16,16,12)--
s(32,16,12)c(40,40,12)c(48,32,12)++
t(24,24,20)t(48,32,12)+t(24,40,12)+
s(24,24,28)t(32,48,28)-c(24,24,20)*
c(40,24,20)s(32,32,28)*c(32,40,20)+
s(40,24,28)s(32,16,12)s(48,16,20)+*
s(40,32,28)c(40,40,20)s(24,40,28)*-
s(24,32,28)s(16,32,12)-t(24,40,12)-
c(40,40,20)s(24,24,20)s(40,24,28)*-
t(40,24,20)s(40,32,28)t(40,24,20)-+
c(32,32,28)s(32,32,12)-c(24,16,12)-
t(32,40,28)s(40,48,20)s(40,24,28)+*
s(32,40,28)s(32,32,28)s(24,24,12)-*
s(24,48,20)t(24,32,20)-t(40,32,12)+
s(16,32,20)s(24,48,20)-t(32,40,28)+
s(40,32,28)c(40,24,20)s(24,16,12)++
c(32,32,28)c(32,32,12)s(48,32,20)+*
s(24,40,28)s(32,48,20)t(24,40,28)*-
c(24,32,20)s(32,32,28)c(48,40,12)-*
s(32,8,12)s(40,24,20)+c(24,24,12)-
c(48,16,12)s(32,24,20)+s(40,48,20)-
s(8,8,12)s(32,40,20)c(40,32,20)*+
s(16,16,20)c(24,40,20)-t(48,40,12)+
t(32,48,28)c(32,32,28)*c(48,40,12)+
c(24,32,20)s(40,32,20)s(16,32,12)+*
s(32,24,28)s(24,24,28)c(24,32,20)**
c(40,40,20)c(24,24,20)c(24,40,20)*-
c(32,32,28)c(48,24,12)-s(40,24,28)*
t(32,40,28)c(16,48,12)-s(24,24,12)+
s(40,48,20)s(40,32,28)*c(16,16,12)+
t(48,16,12)t(32,48,28)s(40,48,20)*+
s(32,40,20)t(40,48,20)+c(40,40,20)*
c(32,32,20)s(8,24,12)c(40,32,20)+*
s(16,32,20)s(24,40,28)*s(16,48,12)+
s(40,40,28)s(32,32,28)s(40,16,12)-*
s(16,16,20)t(32,24,20)c(40,40,12)-+
t(32,48,20)t(32,40,28)s(48,40,20)-+
s(48,16,20)s(24,32,20)+s(24,32,12)-
s(24,24,12)c(40,40,20)c(32,48,12)-+
s(40,40,20)s(24,24,20)-c(24,24,12)+
c(40,24,20)s(24,32,20)s(24,48,20)--
s(32,16,20)c(48,24,12)+t(40,16,12)-
t(16,56,12)s(16,40,20)s(8,48,12)-+
s(24,32,28)s(40,24,20)s(48,16,20)*-
c(32,32,28)t(16,56,12)s(48,8,12)++
s(48,48,20)s(32,24,20)s(24,32,20)*+
s(32,48,20)s(24,24,20)s(32,16,20)++
s(40,32,28)s(40,24,28)t(16,48,12)+*
s(32,48,20)t(32,32,28)s(40,40,20)*+
c(32,32,20)s(32,40,28)s(24,32,28)**
s(24,40,28)s(32,40,28)*t(40,48,20)+
s(40,32,28)s(48,16,20)-c(32,16,12)-
s(40,32,20)s(16,40,20)-t(32,16,12)+
s(32,40,28)s(24,48,20)c(24,32,12)--
c(32,40,20)c(48,32,12)-s(40,16,20)-
s(24,32,28)t(24,16,12)t(24,40,28)+*
s(48,8,12)c(32,24,20)s(16,40,20)-+
t(24,48,28)s(24,32,28)s(16,24,20)*-
c(24,24,20)t(32,32,20)-s(32,24,20)+
c(24,40,20)s(32,16,20)s(32,32,28)*-
s(40,24,28)t(24,40,28)s(24,40,20)*-
t(24,32,20)t(40,40,20)+s(24,24,20)+
c(32,32,28)c(24,24,20)t(40,56,12)+*
s(32,32,28)t(32,16,12)-c(40,24,12)-
c(40,32,20)t(32,16,12)-t(32,48,20)-
s(8,8,12)t(24,48,28)t(40,32,20)-+
s(24,32,20)c(40,32,12)s(40,48,20)++
t(32,40,28)t(40,24,12)c(48,24,12)+-
s(40,32,28)s(24,32,28)t(32,40,28)*-
c(32,32,28)s(16,16,20)-s(24,32,28)+
c(32,32,20)s(40,32,28)c(24,16,12)-*
s(24,24,28)t(24,48,28)-c(40,40,12)-
s(32,48,20)s(16,24,20)t(48,32,12)++
s(24,24,28)c(24,32,20)s(24,40,28)*+
s(40,32,28)c(16,16,12)+c(32,16,12)-
s(32,16,20)s(32,32,20)s(40,24,28)*+
s(32,24,12)t(24,40,28)+c(32,24,12)-
s(24,32,28)s(32,32,28)*s(32,48,12)-
t(32,24,20)t(24,24,12)-s(16,48,20)+
s(32,24,28)s(24,40,20)-s(32,32,28)+
t(24,56,12)s(16,16,20)s(8,16,12)-+
t(32,48,20)t(48,56,12)t(32,32,12)++
s(24,40,20)c(32,24,12)+s(8,32,12)+
s(40,16,20)c(40,40,20)s(32,24,28)*+
c(48,32,12)s(8,48,12)s(8,32,12)++
c(32,40,20)c(40,24,12)-t(48,48,12)-
s(24,40,28)s(40,40,28)+s(40,32,20)-
s(32,48,20)s(40,40,20)s(48,48,20)*+
s(40,32,28)t(24,24,20)s(24,32,20)*-
c(32,32,28)t(24,24,20)c(32,32,20)*-
s(40,40,28)s(24,48,20)c(40,40,20)*-
c(48,40,12)c(40,24,20)t(32,48,12)++
c(16,32,12)t(24,32,28)s(24,16,12)-+
s(24,32,28)c(32,32,20)*s(32,40,28)*
s(32,40,28)c(24,24,20)s(8,24,12)-+
s(32,32,28)s(48,40,12)-c(24,40,12)-
t(32,56,12)s(32,16,12)t(40,24,20)++
s(16,48,20)t(24,48,28)c(24,40,20)*+
s(16,24,12)s(8,16,12)+s(32,40,20)+
s(48,24,12)s(24,32,20)+t(24,48,20)-
t(24,48,20)t(32,32,28)+c(24,16,12)+
s(48,48,20)s(40,48,20)*s(40,24,20)+
s(48,24,20)s(32,40,20)-s(32,16,12)+
s(40,24,20)t(40,48,12)s(48,16,20)++
s(32,24,20)s(32,40,28)s(48,48,20)*+
t(32,32,28)c(48,24,12)+c(40,32,20)*
s(16,24,20)c(32,40,20)s(40,24,20)-+
s(40,40,28)s(48,40,12)-c(32,40,20)+
c(48,32,12)s(24,48,12)+s(48,48,12)+
s(16,48,20)s(32,24,28)+t(32,40,28)*
t(48,56,12)s(40,16,20)s(16,24,20)-+
t(16,16,12)s(40,24,28)+c(32,16,12)-
s(32,40,28)s(32,32,28)t(40,32,12)-+
c(32,32,20)t(32,32,28)*c(48,16,12)+
t(40,32,20)s(24,32,28)c(40,24,20)*+
s(48,16,12)s(48,40,20)+s(32,32,12)-
s(24,24,28)s(48,40,12)+t(32,32,28)-
c(32,24,20)s(24,40,20)*c(16,48,12)+
s(40,40,28)t(32,40,28)s(24,48,20)*-
c(40,32,20)c(40,24,12)-s(8,16,12)+
s(16,40,20)t(32,48,20)-t(24,32,28)+
c(40,40,20)s(24,32,28)t(40,40,20)-+
s(24,24,20)t(24,40,28)c(24,24,20)*+
c(24,32,20)s(32,16,20)c(40,32,20)--
s(40,48,12)s(24,24,20)+s(24,40,28)+
c(32,40,12)c(40,24,20)+s(48,48,20)-
t(32,48,20)c(48,24,12)c(32,16,12)++
s(40,24,28)c(32,32,28)c(16,16,12)-*
s(32,40,28)s(32,32,28)s(48,32,20)*-
t(32,40,20)c(32,24,12)-t(24,24,20)+
s(40,32,12)c(32,40,20)c(48,32,12)-+
s(32,24,28)s(32,40,28)-t(24,48,20)+
c(32,24,20)s(48,16,12)-s(32,32,28)*
c(24,24,20)c(40,32,20)c(32,32,20)*+
c(24,32,20)s(32,24,28)+t(32,48,28)+
s(40,40,28)t(32,40,20)s(40,24,28)+*
t(40,32,12)c(24,40,20)s(24,24,28)*+
s(24,24,28)t(40,24,12)-c(32,32,28)*
s(24,40,28)s(16,24,12)-t(40,32,20)-
c(32,24,20)s(32,40,28)t(24,48,28)*-
s(32,32,28)s(24,16,20)-s(24,40,28)+
s(24,40,28)c(24,48,12)-s(32,32,12)-
c(32,40,20)s(24,40,28)*t(40,40,12)-
c(24,24,20)s(24,32,28)*c(40,40,12)-
c(32,32,28)s(24,48,20)*s(40,8,12)+
s(48,16,20)s(48,32,20)*s(32,24,20)+
c(32,24,12)c(24,40,20)+c(32,16,12)-
s(16,40,20)s(48,40,12)+s(32,24,20)-
s(48,24,20)c(32,32,28)*t(40,40,12)+
c(32,32,28)s(40,32,12)-c(24,16,12)-
c(40,24,20)c(32,40,20)*s(8,8,12)+
s(24,32,20)c(32,32,20)*c(32,40,20)+
c(40,32,20)s(40,16,12)-t(24,40,12)-
c(32,32,28)s(32,40,20)-c(48,32,12)-
c(40,40,20)s(40,24,28)c(48,48,12)+*
t(24,24,20)s(40,40,20)t(32,32,28)*+
s(32,40,28)s(16,40,20)c(32,40,12)--
c(32,40,20)s(16,8,12)+c(24,32,12)-
c(40,48,12)s(32,40,20)s(40,48,12)-+
c(24,32,20)s(24,24,20)s(40,40,28)--
s(24,24,28)s(24,40,20)c(24,32,12)--
s(32,48,20)s(24,40,20)c(40,40,20)*+
c(24,32,20)s(16,16,20)+s(24,40,28)*
c(32,32,28)s(32,16,12)-t(32,32,28)-
c(40,24,20)c(32,32,20)*s(48,32,20)+
c(24,32,20)s(24,40,28)*t(16,24,12)-
s(32,40,20)s(40,32,12)t(24,32,28)++
s(24,24,28)t(24,40,20)t(32,40,12)++
t(24,40,28)c(32,24,20)+s(40,16,20)-
s(40,40,28)s(32,40,28)*s(48,48,20)+
c(24,32,20)s(32,40,28)+s(32,24,28)*
s(32,24,28)s(40,40,28)s(48,32,12)--
t(24,48,20)s(24,40,28)c(32,32,20)*+
c(48,16,12)t(24,40,28)+s(32,32,12)-
s(32,24,28)s(40,32,12)-s(16,48,20)-
c(32,24,20)t(32,24,12)-s(24,40,12)-
c(32,32,20)s(48,24,20)s(40,24,20)*+
s(16,40,20)s(32,40,12)-t(16,56,12)+
s(40,32,28)t(40,32,12)s(40,16,12)+-
t(32,40,28)s(40,16,20)s(32,16,20)*-
s(40,32,28)t(24,56,12)+s(32,32,20)-
t(32,32,28)s(8,24,12)+s(40,40,20)-
c(24,32,12)t(32,40,28)s(40,40,12)-+
t(24,32,28)t(48,48,12)+s(40,48,12)-
c(32,32,28)s(40,48,20)c(48,24,12)+*
s(32,32,28)s(24,16,20)s(32,40,20)--
c(40,40,20)t(24,40,20)s(24,32,20)*-
s(48,48,12)s(32,32,20)+c(40,48,12)+
t(24,40,28)s(48,48,20)c(48,32,12)--
c(32,40,20)s(16,32,20)+c(24,48,12)-
s(24,40,28)s(24,24,28)c(32,32,28)**
s(32,16,20)s(24,24,28)s(40,40,28)*+
c(32,32,12)c(40,40,20)s(32,48,20)*+
s(24,24,28)s(32,48,20)-s(40,40,28)-
c(32,24,12)s(16,32,20)+s(24,24,12)-
t(24,48,20)t(24,40,28)+c(32,40,20)*
c(24,40,20)t(48,48,12)+s(16,16,20)-
s(8,8,12)s(24,40,12)s(32,16,12)++
c(24,24,20)t(32,40,28)s(24,32,12)-+
t(32,48,28)s(16,32,20)c(24,40,20)*-
t(32,32,28)s(16,32,12)c(40,24,20)+*
c(24,32,20)t(40,32,12)-s(24,40,28)*
t(24,40,28)t(48,56,12)s(40,32,12)+-
s(48,32,20)s(32,24,28)*c(16,16,12)+
t(32,32,28)c(16,32,12)c(24,24,12)++
s(24,24,28)s(40,40,20)+s(24,40,28)-
s(32,24,20)s(48,24,20)*c(32,48,12)+
s(16,24,20)s(24,48,12)+t(32,32,20)-
t(32,32,28)t(24,40,28)*t(16,56,12)+
s(32,40,20)s(32,40,28)c(32,24,20)*+
s(32,32,28)t(24,32,28)s(48,48,20)-+
t(32,32,28)s(24,32,20)*s(24,48,20)+
s(32,24,28)s(24,8,12)c(24,32,20)+*
c(32,24,12)s(48,24,12)s(24,32,12)++
s(32,40,28)t(32,40,12)-t(40,56,12)-
c(24,24,20)t(24,40,20)-t(32,48,20)+
t(32,40,28)s(40,24,20)+s(24,32,20)-
s(24,32,28)c(16,24,12)-t(24,24,12)+
c(24,40,20)t(16,40,12)-c(16,40,12)+
s(40,48,12)c(32,48,12)s(24,40,20)++
t(40,32,20)s(32,32,28)s(40,24,12)-+
c(40,32,20)s(24,40,20)s(32,32,28)*-
s(32,24,28)c(24,32,20)s(24,32,12)--
c(32,32,20)s(40,40,28)t(24,48,28)*-
s(40,40,28)c(24,32,20)*s(40,48,20)+
t(32,48,20)c(48,16,12)s(24,8,12)++
s(48,40,20)s(40,40,20)*c(32,40,12)+
s(24,24,28)c(16,40,12)-c(16,24,12)-
s(40,24,28)c(48,48,12)+s(40,40,12)-
s(48,32,12)t(48,40,12)t(32,40,28)++
s(24,32,28)t(16,48,12)s(24,24,20)+*
s(24,40,28)s(48,24,12)s(16,40,20)+*
s(32,40,20)t(24,32,12)-t(24,32,28)+
c(32,32,20)s(40,32,20)*c(48,16,12)+
s(32,40,28)s(40,40,28)+s(32,32,28)*
s(24,40,28)c(32,32,28)s(16,40,12)-*
t(32,48,28)c(32,32,12)+t(40,56,12)-
t(16,48,12)s(24,24,20)s(24,40,12)-+
t(32,40,28)s(48,40,20)s(40,48,12)--
s(32,40,28)s(32,24,28)*c(24,16,12)-
s(16,40,20)t(32,32,20)t(24,32,28)*+
s(32,48,20)s(16,48,12)-s(32,16,20)+
s(32,32,28)s(32,32,12)c(16,48,12)+-
s(40,32,28)c(40,40,20)*s(48,24,12)-
s(40,32,28)s(32,40,28)s(40,24,12)-+
c(40,16,12)t(24,24,12)+s(16,16,12)+
t(16,48,12)t(32,32,28)s(32,24,12)-+
s(40,24,28)s(32,32,20)s(40,40,20)*-
s(16,16,20)s(32,24,28)*t(40,40,20)+
s(32,16,12)s(24,32,28)t(32,48,28)*+
s(24,16,20)t(24,32,28)*t(24,48,28)+
s(24,32,20)c(32,32,28)s(40,32,20)-+
c(32,32,28)c(16,24,12)-s(24,40,28)-
c(24,24,20)t(40,32,12)c(16,48,12)+-
s(32,40,28)c(24,40,20)+t(40,24,12)-
t(32,32,28)t(48,40,12)t(24,32,28)+*
s(40,32,28)c(24,40,20)*s(24,24,28)+
c(32,32,28)t(24,48,28)s(24,40,28)*-
c(32,40,20)t(40,48,20)*t(24,32,20)+
s(48,32,20)c(16,40,12)+s(16,24,20)+
c(32,32,20)s(32,40,28)*s(48,24,20)+
s(48,24,20)s(40,24,28)c(40,32,12)-+
s(24,24,28)s(40,40,20)s(48,24,12)--
t(24,32,28)c(40,40,20)t(24,48,28)*+
c(16,24,12)s(48,32,12)+t(40,16,12)+
s(40,32,12)s(16,16,12)+c(40,24,12)+
t(32,32,28)t(32,24,20)-s(8,24,12)+
s(24,40,28)s(32,32,28)*t(24,24,12)-
s(24,40,28)s(16,32,20)c(40,24,20)--
t(24,48,20)s(16,32,20)t(32,24,20)-+
c(32,32,28)s(40,48,20)s(32,40,20)*-
c(40,40,20)s(32,24,20)s(48,24,20)*-
c(40,24,20)c(24,24,12)-t(32,48,20)-
t(24,32,28)s(16,32,20)*t(24,48,28)+
s(40,48,20)s(40,40,12)-c(48,24,12)+
s(40,32,28)s(24,24,20)c(16,32,12)--
c(24,32,20)s(24,16,12)-t(40,40,12)-
s(16,24,20)c(40,16,12)+t(16,32,12)-
c(16,48,12)t(32,24,12)+t(40,16,12)+
c(40,24,20)s(8,48,12)+t(24,40,28)-
s(32,32,12)t(32,48,28)s(24,32,12)-+
s(48,24,20)c(32,40,20)+s(48,16,12)-
s(32,48,20)s(16,40,12)-s(48,48,12)+
s(32,24,28)s(32,40,28)*t(48,40,12)-
s(40,8,12)c(32,32,20)+c(24,24,12)-
s(16,40,12)s(48,40,20)c(24,32,20)-+
t(24,48,28)c(24,40,20)*s(8,48,12)+
c(24,24,20)s(40,24,20)t(40,32,20)*-
s(40,32,20)s(24,48,20)-t(16,16,12)+
t(32,32,28)s(32,24,20)-t(40,24,20)+
c(40,40,20)s(48,32,20)c(32,40,20)*-
s(8,40,12)s(40,24,20)s(40,32,20)*+
s(24,48,20)t(24,40,28)*s(48,40,20)+
t(40,48,20)c(32,24,20)+s(40,24,20)-
s(24,32,28)s(40,24,20)c(32,24,20)*-
s(32,24,20)c(40,32,20)+t(40,16,12)-
s(16,32,20)t(16,40,12)s(32,16,12)++
c(24,40,20)s(40,40,20)t(40,48,12)--
s(40,32,28)t(24,48,28)-t(24,40,20)+
s(32,32,28)c(24,24,20)s(16,48,20)--
t(32,56,12)s(32,16,20)+t(40,48,20)-
c(24,40,20)c(40,24,12)-t(24,24,12)-
s(48,16,20)s(32,8,12)-t(48,40,12)+
s(32,48,20)t(16,56,12)-t(48,24,12)+
c(24,24,20)c(24,40,20)t(32,32,20)-+
s(40,16,20)t(48,24,12)-s(16,16,20)+
s(16,48,20)t(24,40,28)t(32,48,20)*+
t(48,16,12)t(32,32,28)+t(32,40,20)-
s(32,24,28)s(24,24,20)t(24,32,20)*-
t(24,32,28)s(48,24,20)-c(24,24,20)+
t(32,48,28)t(24,24,12)+c(16,24,12)-
s(24,32,28)s(24,24,28)t(40,48,12)+*
t(24,40,28)t(40,48,20)-s(8,48,12)+
s(24,40,28)t(48,56,12)+s(32,32,28)*
t(40,56,12)c(40,32,20)s(48,24,20)*+
s(32,32,28)s(24,32,28)s(8,24,12)-*
s(32,32,20)s(16,40,12)-s(32,40,20)+
s(24,48,20)t(24,32,20)s(32,32,20)*+
s(40,40,28)c(32,48,12)-c(40,40,20)*
s(40,48,12)s(32,24,28)+c(40,48,12)-
c(32,24,20)s(24,24,20)c(32,40,12)+*
c(24,40,20)t(24,32,20)s(32,24,12)--
s(48,48,20)s(24,24,28)s(40,32,20)*+
s(32,40,28)c(24,40,20)s(40,48,20)*-
c(40,32,20)t(24,16,12)s(48,32,12)+-
c(32,32,28)s(24,16,20)-c(24,40,20)*
c(48,32,12)s(32,32,12)+c(24,48,12)+
s(40,32,20)c(32,40,12)t(32,56,12)++
c(48,16,12)t(24,32,20)+t(32,32,28)+
s(24,16,20)s(40,8,12)-c(40,32,20)+
s(32,16,12)c(24,24,12)s(8,16,12)++
s(32,24,28)s(32,24,28)s(16,24,20)*-
s(24,24,28)c(40,40,20)*c(16,24,12)+
c(32,40,20)s(16,8,12)s(32,40,20)+*
t(16,32,12)t(48,48,12)+c(32,32,12)+
s(40,32,28)s(32,48,12)-s(40,24,28)*
s(32,40,20)c(48,24,12)+c(24,24,12)+
t(32,40,28)s(24,32,28)c(16,16,12)-*
s(32,48,20)t(24,48,28)+s(32,40,28)*
t(16,56,12)s(40,16,20)t(48,24,12)-+
c(24,24,20)t(32,32,28)c(40,40,20)*-
t(40,32,20)c(40,48,12)-t(32,40,28)+
c(24,32,20)s(32,40,28)*c(32,32,20)*
t(16,16,12)c(32,24,20)c(40,40,12)-+
s(40,24,28)t(24,32,12)-s(32,40,20)-
s(40,8,12)s(24,40,28)+c(24,24,20)*
t(24,32,28)t(32,16,12)s(24,8,12)+-
s(40,24,28)t(24,16,12)c(32,48,12)+-
c(16,40,12)s(40,40,20)s(32,24,28)*+
s(32,32,28)t(24,40,28)s(48,16,20)+*
t(24,24,12)c(40,40,20)s(32,48,20)*+
c(24,40,20)c(40,32,20)*s(48,40,20)+
t(40,32,20)t(48,48,12)+s(24,40,28)+
s(32,40,28)c(40,40,20)s(24,48,20)--
s(16,16,12)s(40,48,20)c(40,40,20)*+
c(40,40,20)s(24,40,28)*t(48,16,12)+
s(32,48,20)s(16,48,20)*c(48,32,12)+
s(24,32,28)t(16,24,12)-c(24,24,12)-
c(40,32,20)s(48,24,20)*t(24,48,20)+
t(32,40,20)t(40,16,12)+s(32,8,12)+
c(32,24,20)t(32,32,28)*s(48,48,12)+
s(24,16,20)s(24,32,20)*t(32,40,20)+
c(24,32,20)s(24,48,12)c(48,32,12)++
s(24,24,28)c(40,40,20)s(48,40,12)-+
c(24,32,20)c(24,40,20)s(48,40,20)+*
s(40,24,28)t(24,24,20)+t(40,24,12)-
s(16,40,20)c(32,24,20)+s(40,16,20)-
s(32,32,20)c(40,40,20)s(24,16,12)++
s(32,40,28)c(16,40,12)-s(24,48,20)+
t(48,40,12)c(24,32,20)t(16,24,12)-+
c(40,24,20)c(32,24,20)s(40,24,28)**
c(16,24,12)s(48,40,20)+s(32,32,12)-
t(24,32,28)s(32,24,20)*t(40,24,20)+
s(32,40,28)c(24,24,20)s(40,24,12)--
c(40,32,20)s(24,40,20)s(16,32,20)*-
s(40,40,20)s(24,32,28)t(48,16,12)++
s(40,32,28)s(40,24,28)s(24,40,20)-*
c(32,32,12)c(48,48,12)t(32,48,28)++
s(24,16,12)t(24,40,28)+t(40,40,20)+
c(32,24,20)c(16,40,12)-c(48,48,12)+
s(24,24,28)c(24,32,20)s(48,16,12)+*
t(40,32,20)s(16,24,20)t(24,24,20)*+
t(32,40,28)t(32,32,28)*t(32,48,12)+
s(24,24,20)c(32,24,20)*s(8,8,12)+
s(24,24,28)s(16,32,20)+c(32,32,28)*
t(32,48,28)c(16,24,12)+s(32,32,12)-
s(24,24,28)s(48,24,12)s(24,40,28)+*
c(40,24,20)c(40,48,12)+c(32,24,20)*
c(24,24,20)s(24,40,20)t(32,40,28)*-
c(32,24,12)t(32,48,28)c(32,24,12)-+
s(40,40,28)c(32,40,12)-s(32,40,28)*
c(24,32,20)s(16,16,12)-s(32,40,28)*
c(24,40,20)c(24,32,20)s(24,40,28)**
c(32,32,28)s(24,48,20)t(32,32,28)--
c(24,40,20)s(32,16,20)t(32,32,28)*-
s(24,40,28)s(40,24,20)s(32,32,20)*-
t(24,40,28)s(40,32,28)*c(32,24,20)+
t(40,16,12)t(24,48,28)+s(24,40,28)*
s(40,16,20)c(32,32,28)*s(8,32,12)+
t(24,48,20)s(24,24,28)s(32,40,28)*+
s(40,32,28)s(32,32,28)s(48,16,20)-*
s(40,32,28)c(32,24,20)t(24,40,28)--
c(48,24,12)c(24,40,20)+s(40,32,28)*
s(48,48,20)s(48,24,20)s(48,32,12)-+
t(40,40,20)s(24,24,20)+t(24,24,12)-
s(32,32,28)t(48,40,12)-c(40,32,12)-
s(48,24,20)t(32,32,20)-c(32,32,12)+
s(40,24,20)s(40,32,28)s(48,40,20)*+
t(32,32,28)s(32,24,20)*s(24,24,20)+
s(16,24,20)t(40,24,20)s(16,40,20)-+
s(32,32,28)c(40,32,20)*t(32,40,12)-
c(40,40,20)s(40,32,28)+s(32,16,20)-
s(48,32,20)t(40,24,12)-t(24,56,12)+
s(16,16,12)c(48,24,12)c(32,40,20)++
c(32,32,28)s(48,32,20)-t(24,32,20)-
t(32,48,28)t(40,40,12)-s(24,8,12)+
c(32,24,12)c(40,40,20)t(32,40,28)-+
c(32,40,20)t(32,40,28)*t(40,32,20)+
c(32,32,28)s(32,24,28)s(16,32,20)-*
s(40,32,28)s(8,48,12)+c(24,24,12)-
c(32,32,20)s(24,24,28)s(32,48,20)+*
s(32,40,28)s(40,40,28)*t(32,40,28)*
c(32,32,28)c(32,40,20)s(16,40,12)--
s(32,24,28)s(40,32,20)t(32,40,28)+*
s(24,16,12)s(40,16,20)s(32,16,20)*+
c(32,32,28)c(16,40,12)-c(40,40,20)-
s(40,24,28)t(32,32,28)s(48,32,12)-+
s(32,40,28)s(32,24,20)t(24,32,28)*-
s(48,32,20)c(32,40,12)+t(40,24,12)-
s(16,32,12)s(24,32,28)c(40,40,20)*+
s(40,16,20)s(24,40,20)+t(24,40,28)*
s(32,24,20)c(32,40,20)*t(24,40,20)+
s(32,48,20)s(32,32,28)*c(40,32,20)+
t(32,48,28)s(24,24,20)s(16,32,20)*+
s(24,24,20)t(24,48,28)+c(32,32,20)*
s(48,16,12)s(32,32,20)s(40,24,28)*+
s(24,48,20)c(16,32,12)-s(24,24,20)+
s(40,24,20)s(16,16,20)+s(40,32,28)*
t(24,48,28)t(32,48,12)-c(24,24,12)+
s(24,24,28)c(32,40,20)c(24,32,20)*-
c(32,32,28)t(24,48,28)-s(40,40,20)+
c(24,40,12)s(40,40,28)s(24,24,20)-+
s(48,16,12)s(32,40,20)t(24,32,28)*+
c(40,32,20)t(40,24,12)-s(16,40,20)-
t(24,40,20)c(32,40,20)t(24,32,28)-+
c(40,40,20)c(24,32,20)*t(40,24,20)+
t(48,16,12)t(24,48,28)+t(40,40,20)-
s(24,24,20)s(32,32,20)s(40,40,28)*+
c(24,32,12)s(48,32,20)+c(16,32,12)-
s(32,32,28)t(24,24,20)s(32,24,20)+*
s(32,48,20)c(24,40,20)c(32,32,20)-+
c(40,24,20)s(16,40,20)+t(48,24,12)-
c(16,16,12)t(32,40,12)+s(48,32,12)+
s(40,16,20)t(24,16,12)-c(40,40,12)+
c(40,24,20)s(24,48,20)t(24,40,28)*-
s(32,32,28)s(48,48,20)s(40,48,20)*-
t(24,48,28)t(24,32,28)+c(32,32,28)*
s(8,48,12)t(16,16,12)s(48,40,12)++
s(40,40,28)t(40,48,12)-c(48,32,12)-
s(40,24,28)c(24,16,12)-c(40,24,20)*
s(24,24,28)s(32,24,28)s(48,16,20)*-
t(24,16,12)s(40,40,28)+s(24,24,12)-
s(32,24,28)s(40,32,20)t(40,16,12)-+
s(16,40,20)c(16,24,12)+s(24,40,12)-
s(24,40,28)s(48,40,12)+s(24,48,20)-
c(24,40,20)s(32,40,28)*t(24,48,12)-
s(24,24,28)s(32,40,12)t(40,16,12)+-
s(24,32,28)t(40,40,20)-t(24,32,12)-
s(24,40,12)s(40,40,28)s(32,48,20)*+
s(32,40,28)t(24,40,28)s(32,40,12)--
s(24,24,28)c(40,40,20)t(24,40,28)*-
c(32,40,20)s(16,32,12)-c(16,48,12)-
s(32,24,28)s(48,48,20)-s(48,8,12)-
s(40,40,12)s(16,40,12)s(32,32,12)++
c(32,32,20)t(32,40,20)s(32,48,20)*-
s(48,24,20)c(32,40,20)+s(32,16,20)-
t(32,40,28)c(32,48,12)c(24,32,20)+*
c(24,32,20)s(16,24,20)+c(32,16,12)-
c(16,40,12)c(24,48,12)+c(40,24,20)+
t(24,24,20)t(32,40,28)s(40,32,28)*+
t(32,48,28)s(40,40,28)t(48,32,12)-*
s(40,40,28)s(40,40,28)t(24,40,28)*-
t(32,40,28)s(32,32,28)+s(8,32,12)+
s(32,32,28)s(16,16,20)s(40,24,28)++
s(40,40,28)c(32,40,12)-s(24,24,12)-
s(24,40,28)s(32,40,20)c(40,16,12)+*
s(24,40,20)s(24,16,20)t(24,32,28)*+
c(16,40,12)c(40,24,20)+s(48,40,12)-
s(48,16,20)s(32,32,20)+s(32,40,20)-
s(24,32,28)c(32,32,28)s(24,40,28)**
c(24,24,20)c(32,40,20)s(16,48,20)*-
s(40,16,20)c(24,32,20)c(32,40,20)*+
s(16,16,20)s(24,24,20)*s(32,24,20)+
t(32,40,28)t(40,32,20)-s(40,24,28)+
s(40,24,28)t(32,56,12)+s(40,32,28)*
t(32,40,28)t(32,32,28)*t(40,32,20)+
c(24,24,12)s(24,40,28)s(40,24,28)-+
s(16,48,20)c(32,48,12)-t(40,48,20)+
c(24,48,12)s(16,40,12)c(32,32,12)++
s(16,40,20)c(32,24,20)s(40,24,20)*+
t(32,32,28)t(24,32,28)*t(24,48,28)+
s(24,32,20)s(24,40,20)*t(16,56,12)+
s(32,32,28)c(32,24,20)*s(16,16,12)+
c(48,48,12)t(32,48,28)+t(24,32,20)+
c(24,24,20)c(40,40,20)s(40,40,12)-+
c(32,24,20)c(32,32,20)s(16,40,20)*-
s(24,24,20)s(32,24,20)+c(24,40,20)+
s(40,40,28)t(32,32,28)-t(16,32,12)+
s(24,24,12)c(40,40,20)+t(40,40,12)-
s(48,24,12)s(16,24,20)s(16,16,20)*+
c(24,40,20)s(32,32,20)s(40,40,20)-+
t(32,32,28)s(24,32,28)*t(40,40,20)+
c(32,40,20)s(24,32,28)s(32,24,20)*+
c(32,40,20)c(16,40,12)-t(40,24,20)+
s(24,24,20)s(24,16,20)t(24,40,12)++
s(48,48,12)s(16,32,20)+s(24,16,20)-
s(32,24,28)s(32,24,12)-c(24,48,12)+
s(32,24,28)c(24,32,20)s(40,24,12)--
s(40,24,20)t(48,24,12)t(24,48,12)++
s(24,40,20)t(24,40,28)*c(48,16,12)+
c(24,32,20)c(40,40,12)s(16,16,12)+-
c(48,24,12)t(16,40,12)+t(24,40,20)+
c(40,24,20)s(16,24,20)c(32,24,20)*-
s(32,24,28)s(40,40,28)s(32,24,20)*-
s(32,40,28)s(32,40,20)c(24,32,20)*-
c(24,32,20)s(40,16,20)s(32,32,28)*-
c(48,24,12)s(24,40,28)+c(40,32,12)-
t(32,32,28)c(40,24,20)t(32,40,28)+*
s(40,48,20)s(48,48,20)*s(24,40,12)+
s(40,24,28)c(24,40,20)*s(32,48,20)+
s(24,24,28)s(24,40,28)*s(48,16,20)-
s(40,16,12)s(32,40,20)c(40,40,20)*+
s(48,8,12)s(40,32,20)+c(40,24,20)*
s(24,24,28)s(40,40,28)-c(16,40,12)-
c(40,24,20)s(40,24,20)c(40,40,12)++
c(32,32,20)c(16,48,12)+s(48,32,12)-
s(48,40,20)s(32,48,20)c(40,32,20)++
s(40,24,28)s(16,24,20)-c(32,32,28)*
t(24,40,28)s(40,32,20)+c(48,40,12)-
c(32,32,20)c(40,48,12)-s(32,40,28)*
t(32,40,28)t(24,32,20)s(24,24,20)*+
s(24,40,28)s(24,24,12)-t(16,16,12)+
s(24,48,20)t(40,16,12)+s(24,40,28)*
c(24,24,20)t(24,40,12)-s(24,32,28)*
t(16,48,12)c(24,24,20)c(24,32,20)*+
s(24,24,28)t(24,32,12)t(40,56,12)+-
s(24,24,28)c(24,24,20)s(16,24,20)*-
s(32,32,20)s(32,40,20)+s(40,40,28)+
s(40,32,12)t(16,24,12)+t(32,24,20)+
s(40,48,12)s(16,16,20)+s(24,16,12)-
t(24,48,12)c(40,32,20)t(24,32,28)-+
c(32,40,20)t(40,48,20)-t(40,32,12)+
c(24,40,20)s(32,40,28)c(48,24,12)-*
c(32,24,20)c(40,24,20)*s(40,32,28)*
t(32,32,20)s(48,24,20)t(24,48,12)++
s(40,24,28)c(32,16,12)-c(24,40,12)-
s(8,16,12)s(24,32,28)s(16,48,12)-+
c(24,40,12)c(24,32,20)s(16,32,20)*+
c(32,32,28)s(40,16,20)s(24,24,20)+-
s(40,24,28)c(16,40,12)+c(32,40,20)*
c(40,24,20)s(32,24,28)*c(16,40,12)+
s(40,32,28)s(48,24,12)-s(40,32,12)-
c(40,40,20)t(32,32,20)s(40,24,12)--
s(32,32,28)s(32,16,12)-c(40,32,20)*
s(40,40,28)s(24,48,20)s(48,48,20)--
c(16,16,12)c(24,32,20)t(24,32,12)-+
s(24,24,28)c(40,24,12)t(32,48,12)+-
t(32,40,28)c(32,40,20)t(24,32,20)+*
s(40,24,28)s(24,32,28)c(40,24,12)--
s(32,24,28)c(32,40,20)t(40,24,20)--
s(32,16,12)t(32,40,12)+c(24,32,20)+
s(32,24,20)t(32,56,12)+s(48,48,20)-
s(24,32,28)s(32,40,28)c(40,24,20)--
s(40,32,28)t(40,56,12)t(32,32,28)+*
s(40,24,28)c(40,24,20)s(32,32,20)*-
s(48,24,20)s(24,40,20)t(24,48,20)*+
s(40,40,28)s(40,24,28)c(24,40,20)+*
s(40,24,28)c(24,40,20)+t(32,40,28)-
t(32,32,28)c(32,48,12)+c(40,16,12)-
c(40,40,20)s(32,24,20)s(40,16,20)*-
s(40,24,28)c(32,40,20)s(48,48,20)--
s(40,32,28)s(40,40,28)s(24,48,20)*-
c(40,40,20)t(24,24,20)s(24,40,28)*+
c(32,32,28)s(8,16,12)s(32,40,28)+*
s(32,16,12)t(32,48,28)+t(24,56,12)-
s(32,48,20)c(40,40,20)s(32,32,12)-+
s(32,40,28)c(24,32,20)c(16,24,12)--
s(32,24,28)s(24,24,20)c(40,32,12)--
c(40,40,20)s(40,32,28)s(8,40,12)+*
t(32,40,28)s(32,32,20)*s(48,16,20)+
s(32,40,12)s(40,16,20)s(40,32,28)*+
s(8,16,12)s(40,24,28)+s(8,40,12)+
t(48,48,12)c(40,24,20)t(16,16,12)++
c(16,32,12)s(24,32,28)s(40,24,20)*+
s(40,40,28)t(24,32,28)s(8,48,12)--
s(32,24,28)s(24,24,28)*s(8,16,12)+
c(24,24,20)c(24,40,12)-t(40,40,20)-
c(24,24,20)t(40,24,20)s(48,24,20)*-
s(24,32,20)s(32,40,28)*c(40,48,12)+
s(24,40,28)s(40,48,20)c(32,40,20)+*
s(24,32,28)c(24,24,20)*t(32,48,20)-
c(40,32,20)c(32,40,12)c(32,48,12)+-
c(40,40,20)t(16,40,12)+s(32,24,12)-
s(32,40,28)s(40,40,28)s(24,32,20)--
s(40,32,20)c(24,24,20)+s(32,32,12)-
s(24,24,28)s(32,32,28)t(48,40,12)-*
c(48,24,12)s(40,40,28)s(40,24,28)*+
t(24,32,28)t(32,16,12)+c(24,40,12)-
c(32,32,28)t(48,16,12)s(24,32,28)+-
s(24,24,28)s(40,40,20)s(16,32,20)--
c(40,40,20)t(24,24,20)-s(24,32,20)+
s(24,32,20)t(32,32,28)*c(40,32,12)+
s(32,16,20)c(24,32,20)c(40,24,20)*+
c(40,32,20)s(40,32,28)t(48,16,12)-*
c(32,40,20)s(16,40,20)s(24,32,28)+*
s(40,24,28)t(16,24,12)+s(48,24,12)-
c(32,32,20)t(24,24,20)+s(16,24,12)-
s(32,32,20)c(24,32,12)-s(40,48,20)+
s(32,40,28)s(16,16,20)-s(24,32,12)-
s(40,24,28)t(24,32,28)s(40,40,28)*-
t(24,48,28)t(16,40,12)-s(32,40,20)+
s(32,40,28)s(40,40,28)*s(40,24,12)-
s(48,40,20)s(24,40,28)+s(24,48,20)-
s(32,32,28)s(40,40,28)s(32,40,28)**
s(8,8,12)t(32,40,28)+c(32,32,28)*
s(16,48,12)c(24,40,20)s(40,32,28)*+
c(24,32,20)t(24,48,20)+c(40,48,12)-
t(32,48,20)t(32,32,28)s(32,24,20)-+
s(40,40,28)s(40,24,28)s(24,40,28)*-
s(40,40,28)s(16,32,12)t(32,48,28)+*
s(40,24,28)s(24,48,20)-s(24,24,20)-
s(24,40,28)s(24,16,20)-t(24,40,28)*
s(32,40,28)s(32,24,28)s(16,16,20)*-
s(24,48,20)t(24,40,28)*s(16,8,12)+
c(32,32,20)c(32,32,28)s(24,24,12)-*
s(48,40,20)s(16,48,20)t(24,48,20)-+
c(24,32,12)s(40,16,20)s(32,24,20)-+
t(24,32,28)t(40,24,20)-t(48,24,12)+
c(48,32,12)c(24,40,12)+t(32,32,28)+
c(40,48,12)s(40,24,20)t(40,32,20)*+
t(32,48,12)t(16,48,12)+s(40,48,20)+
t(24,40,28)t(24,48,20)*t(32,24,20)+
s(32,40,28)s(40,24,28)t(24,32,28)*-
s(24,40,20)s(48,24,20)s(32,40,20)-+
t(24,40,28)s(32,24,28)*t(40,32,20)+
s(40,32,28)c(32,24,20)s(40,8,12)+*
t(24,24,20)c(32,32,20)s(24,24,20)-+
s(32,40,28)s(16,32,20)+t(24,48,28)*
s(32,16,20)c(32,40,12)+s(16,16,20)-
t(16,56,12)s(16,48,12)+t(32,40,20)+
c(24,32,20)s(32,32,28)*s(48,24,20)-
s(24,40,28)s(24,24,28)s(48,16,20)+*
s(16,40,20)s(24,24,28)*s(48,40,12)+
t(32,32,28)s(32,24,20)c(24,24,20)*+
c(32,32,28)s(24,24,28)*s(8,24,12)-
c(24,48,12)c(24,24,20)+c(32,16,12)-
s(40,24,28)t(32,40,20)-s(48,8,12)-
c(32,32,20)s(32,48,20)s(32,24,28)--
s(40,32,28)t(24,40,28)s(48,40,20)--
t(40,24,20)s(40,40,20)+s(24,24,20)-
s(24,24,28)s(32,40,20)s(32,24,12)--
c(24,24,20)s(16,48,20)c(24,32,20)+*
c(32,24,12)t(24,56,12)t(32,32,20)++
s(32,24,20)s(40,32,28)*c(32,40,20)+
s(24,32,20)t(24,48,20)-s(48,32,20)+
s(24,32,20)c(40,16,12)+s(40,24,20)+
s(16,24,20)s(32,32,20)+c(24,40,12)-
s(32,40,28)s(24,24,28)+c(16,24,12)-
c(40,32,20)c(32,24,20)+c(40,32,12)-
s(24,32,28)t(32,40,28)c(32,32,12)-+
s(24,24,28)s(8,16,12)-t(32,40,12)-
c(24,32,20)s(32,48,20)t(32,32,28)*-
s(48,24,20)t(32,32,12)-s(8,32,12)+
s(32,40,28)s(16,40,20)s(32,24,20)--
c(40,40,20)s(24,24,28)s(16,32,20)*+
s(32,32,20)c(16,48,12)+s(32,24,28)*
s(32,24,28)t(16,32,12)-t(32,40,20)+
c(32,40,12)t(32,24,12)+t(16,16,12)+
t(16,16,12)c(48,32,12)+s(48,8,12)+
c(32,32,20)s(24,32,28)s(32,32,28)**
c(32,32,28)t(24,48,20)-s(24,24,28)*
s(40,24,28)s(48,32,20)*t(40,32,20)+
s(24,32,28)c(24,40,20)t(24,48,28)*-
s(16,40,12)c(32,40,20)s(48,48,12)-+
s(16,40,20)t(16,32,12)-c(24,48,12)+
t(32,48,28)t(24,24,20)s(24,40,28)*+
s(32,24,28)s(40,24,28)*t(24,40,28)-
s(32,32,28)t(32,24,20)-c(40,24,20)+
s(16,40,20)s(24,24,20)t(32,48,12)++
s(32,24,28)s(16,48,12)+s(16,32,20)+
s(40,24,28)t(48,32,12)-t(32,32,28)+
c(24,32,20)t(32,32,28)*t(48,16,12)+
c(40,24,20)c(24,32,20)s(24,16,20)*-
c(24,40,12)s(16,24,20)+s(24,24,28)*
s(40,32,28)t(32,32,28)s(16,32,20)--
s(48,32,12)c(32,32,12)s(8,24,12)++
c(48,24,12)c(24,40,20)s(40,32,28)*+
c(32,32,28)s(16,24,20)c(32,40,20)+*
c(40,24,20)s(24,24,20)-s(40,32,12)+
c(32,32,28)t(24,48,20)-s(40,40,28)-
s(8,32,12)t(32,32,12)+s(16,8,12)+
s(32,24,28)s(16,16,20)-s(16,40,20)-
c(24,32,12)s(24,32,28)s(32,40,20)-+
t(24,48,28)t(24,48,12)-s(40,32,28)+
t(16,32,12)s(48,24,20)+s(16,24,12)+
c(40,48,12)s(8,40,12)+s(16,40,20)+
c(48,16,12)s(32,32,28)c(24,40,20)-+
s(32,24,28)c(24,40,20)s(40,32,20)*-
s(40,32,28)s(32,40,28)*s(16,16,20)-
t(32,48,20)c(40,24,20)s(40,32,20)*+
s(24,32,12)s(32,48,20)s(16,32,20)-+
c(32,32,20)s(32,40,28)t(32,24,12)-*
s(24,24,28)s(40,8,12)-t(16,24,12)-
s(40,24,28)s(32,32,20)+t(40,24,12)-
s(40,40,20)s(24,40,20)*s(48,24,20)+
t(32,48,28)t(24,24,20)s(32,32,12)+-
s(24,40,20)c(32,24,20)*s(16,48,20)+
c(40,40,20)s(8,32,12)+s(24,16,20)+
s(40,32,28)t(40,32,12)-s(32,16,12)-
t(24,40,28)s(24,48,20)s(24,24,28)+*
c(40,40,20)s(48,16,20)+s(40,40,20)-
s(24,40,28)c(24,16,12)s(40,32,20)+-
s(24,32,28)s(32,16,20)c(48,32,12)+-
s(40,32,28)s(24,40,28)-s(24,24,28)+
s(40,32,28)s(16,40,20)s(32,32,28)*-
c(40,24,20)s(16,40,20)s(32,16,20)++
t(24,40,28)s(8,48,12)-t(40,56,12)+
s(40,32,28)c(32,32,20)s(32,48,20)*-
s(24,32,28)t(24,48,20)c(32,40,20)*-
c(48,16,12)s(40,48,20)+c(24,40,20)-
c(16,32,12)c(24,32,20)t(32,48,28)*+
s(32,40,28)c(40,32,20)s(48,24,20)*-
s(24,40,28)t(24,48,28)s(40,24,20)+*
c(32,48,12)s(16,24,20)+t(24,32,12)-
c(32,32,20)s(32,32,28)s(24,24,12)-*
s(40,24,20)s(32,32,20)*s(16,24,20)+
s(40,40,28)t(24,32,28)s(48,32,12)+*
s(48,40,12)s(32,16,20)t(16,16,12)-+
s(32,32,28)s(24,16,20)-s(40,32,28)*
s(16,48,20)c(32,24,20)s(48,16,20)*+
c(32,40,20)t(24,48,28)s(24,32,20)*-
s(24,32,28)s(32,16,20)*s(48,48,12)+
s(24,40,20)s(48,24,20)s(48,40,20)*+
s(40,40,28)t(32,32,20)*s(40,16,20)+
t(48,32,12)s(24,40,20)+t(16,40,12)-
s(32,32,28)s(40,32,12)-s(48,32,20)-
s(24,24,28)s(40,16,20)+c(32,32,20)+
t(40,32,20)t(32,48,28)c(32,32,28)*+
s(40,32,28)t(32,40,12)-s(40,24,28)*
c(32,40,20)s(40,24,20)t(24,24,12)--
t(24,32,28)c(24,24,20)c(32,32,20)--
s(16,48,12)s(24,32,20)s(48,32,20)-+
t(24,48,20)s(32,32,28)+c(32,24,20)*
c(24,32,20)s(24,32,28)c(40,24,12)-*
t(32,40,20)s(48,24,12)c(24,40,12)++
s(32,40,28)s(32,32,28)s(48,48,12)-*
s(32,48,20)c(40,40,20)c(24,40,12)-+
c(32,40,20)s(32,40,28)s(24,40,28)**
t(40,48,20)s(48,32,12)-s(40,40,20)+
s(32,40,28)c(48,32,12)-s(40,40,28)*
c(40,24,20)s(40,32,28)s(32,24,28)**
c(40,32,20)t(32,48,28)+s(24,40,20)-
s(24,40,28)c(40,40,20)c(40,24,20)*-
s(8,40,12)s(24,16,12)+s(16,32,12)+
s(24,24,28)t(32,32,28)s(32,48,20)*-
s(24,16,20)t(32,48,28)s(32,16,12)++
s(48,16,20)t(32,32,28)s(32,48,20)-+
s(40,48,20)t(40,32,12)-s(32,24,12)+
s(8,40,12)s(32,48,20)+s(16,32,12)+
s(24,40,28)c(32,32,28)c(16,40,12)-*
c(32,24,20)s(48,24,20)s(16,32,20)+*
s(32,40,20)t(40,48,20)t(32,56,12)-+
t(32,40,12)s(32,16,20)s(16,32,20)-+
s(8,16,12)s(24,48,20)+t(32,56,12)-
c(32,32,28)c(32,40,20)s(40,48,20)*-
c(24,40,20)c(24,32,20)*s(16,16,12)+
s(40,48,20)t(24,48,28)t(24,32,12)-+
s(16,40,20)s(32,24,28)+t(32,40,28)*
c(32,40,20)s(40,24,28)*s(48,48,20)+
c(40,40,20)s(48,32,20)s(24,32,28)+*
c(32,16,12)s(8,32,12)+t(32,48,28)+
s(24,16,20)s(16,48,20)+t(24,24,20)-
s(24,48,12)s(8,8,12)+t(40,24,12)+
c(40,40,20)s(32,48,20)+c(32,24,12)-
s(24,32,28)s(8,40,12)s(32,8,12)++
t(32,32,28)s(24,24,28)+s(8,16,12)-
s(32,24,28)s(24,16,20)*s(32,16,20)+
c(16,32,12)t(40,48,20)c(48,24,12)++
c(24,32,20)s(24,24,28)s(32,8,12)-*
c(32,32,20)c(48,24,12)-t(32,16,12)-
s(24,24,28)s(16,40,20)-c(48,24,12)-
c(32,32,20)s(32,24,28)*s(24,24,28)*
s(32,24,28)c(32,16,12)-t(16,32,12)-
t(16,24,12)s(48,32,20)+c(32,24,12)-
c(40,32,12)s(24,32,28)t(40,48,20)-+
c(24,24,20)t(40,40,20)t(16,40,12)+-
s(24,32,28)s(32,24,28)s(16,16,20)*-
c(40,40,20)t(24,32,20)t(32,32,28)*-
s(32,32,28)s(24,40,28)s(16,16,12)+*
s(16,24,20)t(40,24,20)+c(24,24,20)*
c(48,32,12)c(24,24,20)t(24,40,28)-+
t(24,40,28)s(24,32,20)*s(48,16,12)+
c(32,32,20)s(48,32,12)-t(24,48,12)-
s(40,24,12)t(16,16,12)s(8,32,12)++
s(48,24,12)c(48,48,12)+t(32,16,12)+
c(32,32,20)c(40,16,12)+c(32,16,12)-
c(32,32,28)s(40,16,20)c(24,24,12)--
c(24,24,20)s(32,24,28)c(48,40,12)-*
t(32,24,20)t(40,56,12)s(40,24,12)++
s(24,24,20)s(32,48,20)+c(24,40,20)*
s(40,24,20)s(32,48,20)s(24,32,20)-+
t(24,32,28)s(32,24,28)*s(48,24,20)+
s(32,40,28)t(32,48,20)s(24,16,20)+*
c(32,32,20)s(40,24,20)s(48,24,20)*-
t(24,48,28)s(40,32,20)s(24,32,20)*+
s(48,16,20)t(32,32,20)-c(16,16,12)+
s(32,32,28)s(16,48,20)-s(24,32,28)*
c(40,40,20)s(24,16,20)t(24,56,12)+-
s(40,24,28)s(40,32,28)s(24,32,28)*-
s(48,40,20)t(32,40,20)s(32,32,20)*+
s(24,40,28)t(24,24,12)-s(48,24,20)-
s(24,32,28)s(32,24,28)s(40,24,28)+*
c(40,40,20)c(24,32,20)*s(8,8,12)+
s(24,32,28)s(8,16,12)-s(32,24,28)*
t(48,40,12)c(16,24,12)+t(32,24,12)+
t(32,24,20)s(16,32,20)s(16,24,20)*+
s(32,24,28)c(32,16,12)-c(40,16,12)-
s(32,40,20)c(40,24,12)+c(24,24,12)+
s(48,48,20)s(40,32,28)*s(16,16,20)+
c(16,40,12)s(24,40,12)c(32,16,12)++
s(24,24,20)s(24,16,20)*t(48,40,12)+
s(40,24,28)c(24,40,12)+c(48,16,12)-
c(40,24,20)s(40,32,28)*c(40,32,20)*
c(32,32,20)s(48,24,20)s(40,16,20)*-
c(32,32,28)s(24,40,20)c(32,24,20)*-
t(16,32,12)c(40,24,20)+t(24,40,20)-
s(16,16,20)t(24,32,28)t(32,32,20)*+
s(24,24,20)s(32,32,28)*s(40,40,12)+
t(32,32,28)s(8,24,12)+t(24,40,20)-
s(32,40,28)c(32,40,12)t(40,40,12)+-
s(16,32,20)c(24,16,12)+s(8,40,12)-
c(40,40,20)t(32,40,20)t(32,24,20)--
s(24,32,20)s(32,24,28)*s(8,32,12)+
c(32,24,20)t(24,40,28)c(32,40,12)-+
t(32,40,28)c(24,16,12)+t(32,32,12)-
c(16,32,12)s(48,48,20)+t(32,24,12)+
c(32,32,20)s(32,40,28)s(48,24,12)-*
c(32,32,28)s(24,48,20)*s(48,24,20)+
c(40,24,20)t(32,32,28)s(24,40,20)*-
s(16,32,12)t(16,48,12)c(32,48,12)++
t(40,48,20)t(32,40,28)s(48,32,12)++
t(32,32,28)t(40,16,12)+c(24,24,12)-
c(48,24,12)c(32,32,20)c(40,40,20)*+
s(8,24,12)t(24,32,12)+s(40,40,12)+
t(16,56,12)t(24,40,20)s(16,24,12)++
c(32,32,20)s(40,40,20)c(24,32,12)+*
c(48,32,12)t(32,32,12)+s(16,16,12)+
t(32,48,28)s(24,24,28)t(32,32,28)*+
s(32,40,20)t(32,48,12)-c(24,24,20)+
c(40,40,20)t(32,48,28)+c(40,24,12)-
c(32,32,28)s(40,40,20)-s(48,16,20)-
s(24,40,28)t(40,32,20)s(48,16,12)--
s(48,16,20)t(24,32,28)s(40,32,20)*+
t(32,32,28)s(48,40,20)t(40,48,20)--
c(32,40,20)c(24,32,20)s(32,24,28)*+
c(16,48,12)s(40,32,28)+t(32,24,12)-
s(24,40,28)s(40,48,20)s(32,32,28)*-
s(48,32,12)c(48,48,12)s(32,40,20)++
t(32,40,28)s(32,32,28)s(32,40,28)**
s(32,40,20)s(48,48,20)-t(32,40,20)+
t(32,40,28)s(40,8,12)s(40,32,28)+*
c(32,24,12)c(32,40,20)+c(32,32,20)*
s(16,48,20)t(16,32,12)+s(16,24,12)-
s(24,48,20)s(40,24,28)s(48,40,20)++
t(40,32,20)t(24,40,20)t(24,48,12)-+
t(24,32,20)s(16,48,12)-t(24,48,20)+
c(40,32,20)s(24,8,12)+t(32,32,28)*
s(32,40,20)s(32,32,20)+s(8,32,12)+
t(16,48,12)s(32,24,20)+s(32,24,28)*
c(40,40,20)s(40,40,28)s(24,40,12)-*
c(24,40,20)s(48,32,20)+s(40,24,20)-
c(40,24,12)t(40,48,12)s(16,48,20)++
c(24,40,20)s(32,16,20)+c(40,24,20)*
c(24,24,20)s(24,32,20)+c(32,24,20)*
s(40,40,28)s(48,48,20)c(48,48,12)-+
t(32,48,28)c(24,16,12)s(40,40,28)+*
c(40,40,20)c(32,24,20)t(24,32,28)*-
s(32,40,28)c(40,24,20)t(24,48,12)+*
s(24,40,20)s(24,32,20)*s(16,40,20)+
s(32,32,28)s(16,24,20)s(24,40,28)+*
s(32,24,20)c(16,16,12)-c(24,24,20)+
t(24,16,12)c(48,40,12)+s(32,32,28)+
t(24,48,20)s(32,32,20)c(24,32,12)-+
s(40,24,28)s(32,16,20)t(16,16,12)--
s(32,32,28)s(24,32,28)*c(24,40,12)-
t(32,48,28)s(24,24,20)c(24,32,20)*-
s(16,24,20)s(24,24,20)*t(32,40,20)+
t(24,48,28)t(32,40,28)*s(48,8,12)+
c(32,32,20)c(32,48,12)-t(24,40,12)-
c(40,48,12)s(32,16,20)t(24,40,20)++
s(40,16,20)c(32,32,28)*s(48,48,12)+
s(40,40,12)c(32,32,28)s(16,40,20)*+
s(32,40,28)s(40,32,20)*t(16,40,12)+
c(24,40,20)s(40,16,20)c(32,40,20)+*
c(40,40,20)s(24,24,28)+t(24,32,28)-
s(32,32,28)t(24,16,12)-c(40,32,20)*
s(40,40,20)c(16,32,12)c(40,40,12)++
t(32,40,28)s(24,16,20)t(32,16,12)--
t(24,48,28)s(8,48,12)+s(24,40,28)*
c(40,32,20)s(32,16,20)s(48,16,20)--
s(40,32,28)t(32,32,28)c(16,32,12)--
c(16,40,12)t(40,48,20)t(32,32,20)-+
s(40,16,12)c(24,32,20)+s(40,32,20)-
t(32,40,28)s(16,48,20)s(24,24,12)++
c(16,48,12)c(32,32,20)c(24,40,20)*+
s(40,24,20)t(24,24,20)s(24,48,20)-+
c(32,24,20)c(48,32,12)+t(40,48,20)-
s(24,40,28)s(32,40,28)c(40,32,20)--
s(40,24,28)s(40,40,28)t(24,32,28)+*
s(24,40,20)c(32,24,12)-s(24,48,20)+
s(40,24,28)s(16,48,20)t(40,24,12)+-
t(32,40,28)s(40,24,28)+t(24,24,20)-
s(40,24,20)s(32,32,28)*c(24,48,12)+
s(48,48,20)c(48,32,12)+s(24,40,20)-
s(48,16,20)c(16,16,12)+s(48,32,12)-
s(32,16,20)c(24,24,12)+c(40,32,12)-
s(40,24,28)s(40,40,20)t(32,40,28)*-
s(48,16,20)t(32,16,12)-s(40,24,20)+
t(24,40,28)t(32,24,20)t(24,32,12)--
s(16,24,20)t(40,32,20)+s(48,24,12)-
t(24,32,28)s(16,32,20)s(24,32,20)+*
s(16,48,12)s(32,24,20)s(40,32,28)*+
s(16,32,20)c(24,40,20)*t(40,40,12)+
c(24,40,20)s(32,40,28)*s(8,24,12)+
s(32,48,20)s(40,48,20)*c(40,24,12)+
c(32,32,20)c(48,16,12)-c(48,40,12)-
t(32,32,28)c(40,32,20)*s(24,16,20)+
t(32,40,28)s(40,48,12)-s(48,32,12)+
s(32,32,28)s(32,24,20)s(32,48,12)+*
c(32,24,20)s(32,32,28)t(16,40,12)-*
c(40,24,12)s(32,16,20)s(40,32,12)-+
s(16,32,20)c(40,40,20)s(24,40,20)*+
t(32,40,12)s(48,32,20)+c(32,32,28)*
c(32,32,28)t(40,40,20)s(24,48,20)+-
t(32,48,12)s(32,32,28)c(32,24,20)*+
s(40,40,28)t(24,40,28)-c(40,24,12)+
c(40,40,20)s(16,24,20)t(24,16,12)-+
s(24,24,20)c(24,24,20)s(40,16,20)*+
s(32,40,28)t(32,48,28)c(24,32,20)*-
s(8,40,12)s(24,40,20)+c(40,40,12)+
s(48,40,12)c(24,40,12)+t(16,56,12)+
t(32,48,12)s(16,16,12)+s(24,32,20)+
t(48,32,12)s(32,32,28)s(24,24,28)*+
t(24,40,28)s(32,32,28)s(24,32,28)**
s(32,32,28)s(32,16,20)*c(40,32,12)+
s(32,32,28)s(32,48,20)-t(16,24,12)-
s(32,40,28)c(32,24,20)s(16,24,20)*-
t(16,24,12)c(40,40,20)s(32,24,20)-+
s(32,40,28)s(48,48,20)c(40,32,20)*-
s(24,32,28)s(32,24,28)*c(24,32,20)*
c(32,32,20)s(48,40,20)+s(48,24,20)-
t(40,40,20)t(40,24,20)+s(40,8,12)-
t(32,32,28)c(40,40,20)+s(24,24,20)+
t(24,32,28)s(40,16,20)c(24,24,20)*-
c(32,24,20)s(40,24,28)t(24,48,28)-*
t(24,40,28)s(40,48,12)-s(8,32,12)+
s(24,24,28)c(32,24,20)s(8,24,12)+*
s(40,24,28)s(48,24,12)-s(24,24,28)*
s(40,24,28)c(24,40,20)t(32,32,28)*-
t(32,32,20)c(16,48,12)+s(8,40,12)-
s(24,24,28)t(32,32,12)c(40,24,12)+-
t(40,56,12)s(32,32,28)s(32,32,20)-+
t(24,40,28)c(40,24,20)s(32,32,12)-+
s(16,32,20)s(48,48,12)c(40,32,20)++
s(8,48,12)s(40,16,20)s(40,16,12)-+
c(24,24,20)s(24,48,20)s(16,16,20)+*
c(32,32,20)s(40,48,12)-t(32,48,12)+
s(40,32,20)t(32,40,28)+c(16,32,12)-
s(40,40,28)c(40,32,20)s(24,32,12)-*
c(40,24,20)s(32,32,28)s(24,40,20)*-
t(32,40,20)s(48,40,20)c(40,24,20)*+
t(24,48,28)c(40,24,20)s(24,24,20)*-
t(48,16,12)s(32,40,28)c(24,24,20)*+
c(40,40,20)t(40,48,12)-c(24,24,20)+
s(48,40,20)s(24,40,28)-t(40,24,20)+
t(24,32,28)s(24,40,12)-t(48,24,12)+
s(24,24,20)t(24,48,28)+s(24,40,20)-
s(24,32,28)c(32,32,20)s(40,40,28)*-
s(24,24,28)s(32,32,20)s(16,32,20)*-
s(24,24,28)s(32,24,28)c(24,16,12)-*
s(24,24,28)s(48,24,12)+c(40,32,20)*
c(40,24,20)s(40,40,28)*t(32,48,28)+
s(32,24,20)c(24,32,20)+c(24,24,20)*
s(24,32,28)s(16,48,20)c(40,24,20)+*
c(32,32,20)s(16,40,12)-s(40,24,28)*
s(24,40,28)s(24,32,20)s(40,24,20)--
s(48,32,12)s(16,24,12)+t(24,24,20)+
s(48,24,12)t(24,40,28)+c(32,40,12)-
s(32,16,12)s(24,48,20)s(32,48,20)*+
s(24,24,28)t(24,48,28)-c(40,40,12)-
s(24,24,20)s(40,16,12)-s(8,24,12)+
s(48,32,12)s(48,24,20)c(24,40,20)-+
s(24,32,28)s(32,32,12)-t(32,48,28)+
t(40,16,12)c(32,32,20)t(24,40,28)*+
t(48,40,12)s(48,24,12)s(8,24,12)++
c(40,40,12)s(16,24,20)c(32,24,12)-+
t(24,24,20)t(24,32,12)-c(48,40,12)+
s(48,48,20)t(24,32,20)s(48,32,20)-+
s(40,24,12)s(32,24,28)s(40,40,20)-+
s(40,32,20)c(40,16,12)+s(32,32,28)*
s(24,32,28)c(40,24,12)-t(24,32,12)-
c(32,32,28)s(24,32,12)-c(24,16,12)-
t(24,56,12)s(24,40,20)t(32,40,28)*+
s(16,40,20)t(24,48,28)t(24,40,28)*+
s(24,40,12)s(32,24,20)+t(16,32,12)-
s(40,8,12)c(24,24,20)+s(40,16,12)-
s(32,24,28)s(40,32,12)-t(32,48,28)-
c(24,40,20)c(40,40,20)+c(16,48,12)-
t(24,48,28)s(48,24,12)s(24,48,20)++
c(32,32,28)c(24,32,20)t(40,24,20)--
s(24,24,28)c(24,40,12)-c(32,24,12)-
s(32,40,28)t(32,32,12)-t(24,48,12)-
s(24,32,12)s(32,48,20)+t(32,48,28)*
c(40,24,20)c(32,24,20)c(24,24,12)-+
s(8,40,12)s(32,48,20)c(40,40,12)-+
s(16,16,20)s(32,16,20)*s(16,48,20)+
c(32,40,20)t(24,48,28)c(32,40,12)--
c(40,32,20)c(32,16,12)-c(32,24,12)-
c(24,24,12)c(48,48,12)+s(16,16,12)+
s(40,40,28)t(24,40,12)-c(32,32,12)-
c(32,24,20)t(32,48,28)s(16,40,12)+-
s(32,32,28)t(32,32,12)-t(24,24,12)-
s(32,40,28)c(40,24,20)t(40,48,20)--
c(32,40,20)c(24,40,20)*s(40,24,20)+
s(32,32,28)s(16,16,20)-c(32,48,12)-
c(24,32,20)c(24,24,20)t(32,56,12)+*
s(24,48,20)t(32,56,12)-c(40,40,12)+
s(48,40,20)t(48,56,12)t(32,48,12)++
s(48,24,20)s(40,32,28)*c(48,16,12)+
s(32,32,28)t(32,40,28)+t(32,16,12)-
s(32,32,28)s(32,24,28)s(16,8,12)-*
s(24,48,20)c(16,40,12)-s(24,32,12)+
t(48,56,12)s(40,24,28)+t(32,32,20)-
t(32,32,12)t(24,48,28)s(16,48,20)*+
s(32,40,28)t(24,32,28)*t(40,32,12)+
s(40,32,28)s(48,16,20)+c(48,32,12)-
c(40,32,20)s(32,48,20)+s(32,32,28)*
t(32,40,28)t(24,32,28)s(24,16,20)*-
c(24,40,20)s(32,48,20)*s(48,48,12)+
s(40,32,28)c(32,32,28)s(48,40,12)-*
c(40,32,20)t(24,32,28)t(48,56,12)++
s(24,40,20)s(48,32,20)+s(40,40,28)*
c(40,40,20)c(24,48,12)-t(40,56,12)-
s(32,24,28)c(40,24,20)*t(32,16,12)-
c(16,24,12)s(16,40,20)c(40,32,20)-+
t(40,48,20)c(40,24,20)-c(16,40,12)+
t(40,24,20)c(24,24,20)c(48,48,12)++
c(32,32,20)s(48,40,20)c(32,40,20)*-
s(32,48,12)c(40,24,20)+s(24,32,28)*
s(32,16,20)t(48,48,12)+s(40,24,12)-
s(24,40,28)s(16,16,20)s(16,24,20)*-
c(24,32,20)s(32,24,28)*s(16,40,20)+
s(32,24,28)s(32,48,20)-s(24,32,12)-
c(48,32,12)s(16,32,20)+t(40,32,20)+
s(32,24,28)c(40,24,20)*c(48,40,12)-
c(32,48,12)t(24,48,28)s(24,40,12)-+
s(40,48,12)t(32,32,28)+s(40,40,28)*
s(24,24,28)s(32,24,28)s(48,48,20)-*
s(32,24,12)s(16,16,20)+t(48,24,12)+
s(24,16,20)c(48,40,12)+s(40,48,20)-
s(32,32,28)t(48,32,12)-c(32,24,20)*
c(40,16,12)s(32,24,20)+s(24,48,20)-
s(32,32,20)t(24,48,20)+t(32,32,28)+
c(32,32,28)c(16,24,12)-c(24,40,20)*
t(32,32,28)s(24,32,28)c(32,32,20)**
s(32,32,20)t(24,32,20)s(16,32,20)*+
s(32,24,28)s(40,24,28)*t(48,40,12)-
s(48,48,20)s(32,40,12)+s(40,40,28)*
s(24,32,20)c(40,40,12)s(16,48,12)++
s(32,40,28)s(24,24,20)c(40,24,20)*+
s(24,32,28)s(24,48,20)s(16,16,20)+*
s(32,24,28)c(32,24,20)s(32,40,20)+*
s(32,24,28)s(48,48,20)s(40,32,28)*-
c(32,48,12)s(16,24,20)+s(32,40,28)+
s(24,40,20)t(40,40,12)+c(24,32,20)*
s(24,24,28)c(24,32,20)s(40,40,20)--
c(16,48,12)s(16,40,12)s(8,8,12)++
c(40,48,12)c(40,24,12)c(24,24,12)++
t(24,48,28)t(24,24,20)t(48,40,12)++
c(40,40,20)s(32,40,20)+s(16,40,12)+
c(32,32,28)t(32,40,20)t(40,40,12)+-
s(24,40,28)s(32,32,20)s(16,32,20)--
s(32,40,28)s(32,24,28)+s(40,24,28)*
s(32,32,28)t(24,48,20)s(24,40,20)*-
s(32,40,28)s(40,40,28)*s(48,24,12)-
s(32,32,28)t(32,16,12)-s(40,40,28)*
s(40,32,28)s(32,16,12)-c(24,24,20)-
c(48,24,12)s(24,24,20)c(32,48,12)++
s(32,24,28)s(32,32,28)*t(32,32,12)-
c(48,24,12)c(48,32,12)+c(32,40,20)+
c(32,32,28)s(40,48,20)*t(40,32,20)+
s(48,16,20)s(40,48,12)+c(48,48,12)+
t(16,24,12)t(32,40,28)+s(40,32,28)*
t(24,40,28)t(40,56,12)+c(16,48,12)-
t(40,48,20)s(40,24,28)t(24,32,28)*+
s(40,40,12)s(32,24,20)c(40,24,20)*+
s(32,24,28)s(40,8,12)-t(24,32,28)*
s(48,8,12)s(32,40,28)s(24,32,12)-+
s(48,40,12)c(40,24,20)+c(32,32,20)*
s(48,40,20)t(24,48,12)+s(48,16,20)-
s(24,24,12)s(40,24,28)t(24,16,12)-+
s(32,40,20)t(16,48,12)+c(24,40,20)*
c(24,24,20)s(32,32,28)s(24,48,20)*-
s(24,40,28)s(24,32,28)*s(40,24,20)+
c(32,32,28)s(32,16,20)s(24,24,20)*-
s(32,40,28)s(40,40,20)t(16,48,12)+*
c(24,40,20)s(32,40,20)-t(32,48,20)+
s(32,16,20)s(32,32,28)t(40,40,20)-+
t(40,48,20)s(16,48,20)s(24,32,28)*+
c(32,32,28)s(16,48,12)t(24,56,12)+-
c(32,24,20)s(40,16,20)t(32,40,28)+*
s(40,24,20)t(24,32,12)+t(40,16,12)-
s(32,40,28)s(24,40,28)*c(32,32,20)*
s(16,48,20)c(32,24,20)+t(24,40,28)*
c(32,32,28)c(24,24,12)-t(32,40,28)*
c(24,24,20)t(16,16,12)s(48,8,12)+-
t(32,32,28)s(32,8,12)c(32,24,12)++
t(24,48,12)t(24,32,20)+s(48,40,20)+
c(24,24,12)t(24,48,28)+t(24,40,28)*
c(24,24,20)s(48,16,20)-s(32,24,28)*
s(24,16,12)s(40,40,28)s(48,24,20)-+
s(48,40,20)t(40,40,20)*t(32,32,20)+
c(24,40,12)c(40,32,20)c(40,24,20)*+
t(24,48,28)c(32,40,12)-s(48,24,12)+
c(32,32,20)s(24,32,28)t(32,16,12)-+
s(24,24,28)t(40,32,12)s(48,48,12)+-
s(32,40,28)s(32,32,20)c(24,24,20)*-
c(40,40,20)c(32,40,20)t(32,24,20)-+
c(40,24,20)t(48,24,12)-t(24,40,20)-
s(32,32,28)s(32,40,28)*c(40,40,20)*
s(32,48,20)s(40,48,20)*c(24,32,12)+
c(24,24,20)s(32,32,28)s(48,40,20)*-
t(24,40,20)t(24,40,28)s(32,32,20)-+
t(32,48,28)s(32,16,20)s(48,24,20)+-
s(16,40,20)s(24,16,20)-s(32,24,12)+
s(24,40,28)s(48,24,12)s(24,40,12)+-
s(24,24,20)s(32,24,20)*t(40,24,20)+
t(24,48,28)s(24,48,20)c(16,24,12)+*
s(32,16,20)s(16,24,12)+c(48,24,12)-
s(32,24,28)s(40,24,28)*s(24,24,28)*
s(40,32,28)s(32,24,20)*c(16,24,12)+
s(24,24,12)c(40,48,12)+s(40,16,20)+
s(24,32,28)c(32,24,20)s(32,40,28)*-
s(16,40,20)s(24,48,12)-t(40,40,20)+
c(40,16,12)s(24,32,28)+s(40,32,20)-
t(32,32,28)s(24,24,28)*s(48,40,20)+
t(16,56,12)c(24,32,20)+t(32,48,20)-
s(40,24,28)s(32,24,20)s(48,24,12)--
s(32,24,28)s(48,16,12)-c(32,24,20)*
c(16,40,12)c(24,24,20)+t(32,40,28)+
s(8,32,12)c(40,24,20)s(32,40,28)*+
t(32,16,12)s(16,16,12)+s(48,32,20)+
t(24,48,20)s(40,24,20)+s(32,32,28)*
t(40,48,20)s(24,40,20)t(24,40,28)*+
c(32,40,20)t(16,24,12)t(40,56,12)+-
c(24,24,20)s(48,16,20)-s(24,40,28)+
t(32,48,28)t(40,32,20)s(32,32,20)*-
s(32,32,28)s(24,24,20)+s(40,24,12)-
s(16,24,12)c(24,40,20)s(32,40,20)*+
s(24,32,28)s(32,16,20)c(24,24,20)*-
s(24,24,28)t(24,40,20)t(32,24,20)-+
s(32,32,28)s(32,40,28)*t(32,48,12)-
s(24,32,28)c(24,40,12)s(16,16,12)+-
t(40,56,12)c(48,24,12)+t(16,24,12)+
t(24,48,28)t(32,48,12)t(24,16,12)+-
c(24,32,20)t(32,48,12)-s(32,24,28)*
t(32,32,28)c(24,40,20)s(40,48,20)*-
s(32,40,28)t(32,32,20)s(48,40,12)--
t(24,40,28)c(24,16,12)s(16,40,12)++
s(32,32,28)s(24,40,28)s(16,24,20)+*
t(40,24,12)s(24,16,20)+t(16,24,12)-
s(32,40,28)s(48,40,12)-s(48,40,12)+
s(16,24,20)s(24,24,12)-s(40,40,28)+
c(32,24,20)s(16,24,12)-s(48,32,12)-
t(32,40,20)s(16,16,20)+t(48,32,12)+
c(24,32,12)s(40,40,12)c(48,16,12)++
t(40,24,12)s(32,40,20)c(40,24,12)-+
t(24,40,28)s(32,16,20)s(24,32,28)*-
c(32,32,28)s(48,40,20)s(48,48,20)++
s(40,32,28)s(40,24,28)*c(40,24,20)*
c(16,40,12)c(40,32,12)+s(16,24,20)+
s(40,16,20)s(24,24,20)+c(24,24,20)*
c(40,32,20)s(48,24,20)s(40,32,20)--
s(24,40,28)s(40,48,20)-c(24,16,12)+
s(48,24,20)s(32,40,20)t(32,48,20)*+
s(24,24,28)t(40,16,12)c(16,32,12)+-
t(32,40,28)t(24,40,28)*s(32,32,20)+
s(24,32,20)s(32,40,28)*t(48,56,12)+
s(24,16,20)c(40,24,12)+c(48,16,12)-
c(40,32,20)s(40,40,20)s(40,32,20)+*
t(32,32,28)t(40,40,20)+s(32,24,28)*
s(40,40,28)s(40,16,12)+c(32,40,20)*
s(24,32,28)s(32,32,28)*t(48,40,12)+
s(32,24,28)t(24,16,12)-c(32,24,20)*
c(40,32,20)t(40,48,12)-s(32,24,28)*
c(24,40,20)t(40,32,12)-c(24,24,12)-
t(32,32,28)s(24,32,28)*c(16,40,12)+
c(40,40,20)t(40,32,12)s(40,8,12)+-
t(32,32,28)c(24,32,20)*t(24,32,20)+
s(8,24,12)s(48,8,12)s(24,40,12)++
c(32,40,20)s(32,48,20)-t(40,40,20)+
t(24,32,12)t(48,48,12)+s(40,16,20)+
t(24,16,12)c(16,40,12)+c(32,24,12)+
c(24,24,12)t(48,24,12)t(16,56,12)++
c(24,40,20)t(48,16,12)+t(40,48,20)+
t(40,40,20)c(32,24,20)s(40,32,28)*+
t(32,48,20)s(24,24,20)s(40,32,28)*+
s(40,32,28)c(40,48,12)t(32,40,20)+-
s(40,8,12)c(24,40,20)t(24,32,28)*+
c(32,32,28)s(32,24,28)s(16,24,20)*-
c(32,32,28)s(8,24,12)c(40,24,20)+*
s(16,48,20)s(24,40,20)*s(32,40,20)+
s(32,32,28)s(16,48,12)-c(24,32,20)*
s(32,40,20)s(40,32,28)*s(8,8,12)+
s(32,40,28)s(24,40,28)*c(24,32,12)-
s(32,40,28)s(24,40,28)t(32,48,12)-*
t(40,24,20)s(24,32,28)+s(32,32,28)*
s(32,32,28)s(16,40,20)s(8,48,12)--
s(40,16,12)s(8,16,12)+t(24,32,28)+
t(24,48,28)s(32,24,12)t(24,40,12)++
c(40,16,12)s(16,32,20)s(16,24,20)*+
c(24,24,12)s(32,48,20)c(32,32,20)*+
c(32,40,20)s(24,48,20)*s(40,32,12)+
c(24,40,20)s(40,32,20)c(24,24,12)--
c(32,32,28)t(24,40,28)c(40,40,20)--
s(24,32,28)s(40,16,20)-s(8,48,12)-
c(40,40,20)s(32,24,28)s(48,32,20)+*
t(24,48,28)s(32,40,20)s(32,48,20)*+
c(32,32,20)s(32,40,28)*c(40,32,20)*
t(24,32,28)t(24,16,12)-c(40,48,12)+
s(32,24,20)t(32,32,20)+c(48,24,12)-
s(32,16,20)s(24,40,28)-t(32,24,20)+
c(32,32,20)s(24,24,20)*s(40,40,28)+
s(32,8,12)s(16,40,20)+c(40,16,12)+
s(40,32,12)s(32,24,28)s(32,40,20)-+
c(48,24,12)s(24,32,28)t(24,40,28)*+
s(24,32,28)s(40,24,28)t(24,40,28)*-
s(16,32,20)c(40,16,12)+c(24,32,20)*
s(24,40,28)s(24,32,28)s(24,32,12)-*
s(32,24,28)s(48,32,12)-t(32,48,20)-
c(40,40,20)s(32,32,20)*s(8,24,12)+
s(16,40,20)t(32,32,28)s(40,40,20)*+
s(48,16,20)s(40,48,12)s(32,16,12)++
t(24,32,28)s(32,48,12)+c(48,40,12)+
s(32,48,20)s(32,40,28)c(40,32,20)*+
c(24,24,12)t(32,40,20)+s(40,24,12)+
c(32,32,28)s(40,48,12)-t(24,32,28)*
t(24,40,28)s(16,24,12)-s(32,24,28)+
t(32,56,12)s(8,32,12)+t(40,32,20)+
s(48,24,20)s(40,40,28)s(24,32,28)*+
s(32,32,28)c(24,32,20)s(32,32,12)--
c(24,24,20)t(40,32,12)-t(24,16,12)-
s(24,24,28)s(32,8,12)-s(40,32,12)-
s(24,32,28)s(24,24,12)-s(32,32,28)*
s(16,40,20)s(24,48,20)*s(48,32,20)+
t(24,48,28)s(32,16,20)+t(32,32,20)-
c(40,40,20)s(16,40,20)-s(48,24,20)+
s(48,32,20)c(16,32,12)+s(32,24,28)*
s(40,40,20)t(40,24,20)-s(8,16,12)+
s(16,40,20)s(32,48,20)+s(16,16,20)-
s(24,32,28)s(24,48,20)-c(16,40,12)+
s(40,24,28)s(24,32,28)*s(8,48,12)+
s(32,40,28)s(24,24,28)*t(24,40,28)+
t(32,48,20)t(32,40,28)s(40,32,28)*+
c(40,32,12)s(48,16,20)+t(24,40,28)-
s(40,40,20)s(32,24,20)s(32,32,12)-+
c(32,32,20)s(40,40,28)c(48,40,12)-+
t(24,40,28)s(24,48,20)s(32,40,28)+*
s(32,32,28)s(24,8,12)t(24,32,12)+-
c(32,32,28)t(40,32,20)-s(24,32,28)*
c(40,32,12)s(32,16,20)+t(40,40,12)-
c(48,48,12)t(32,32,28)s(24,40,20)*+
s(40,40,12)s(24,24,28)s(8,32,12)-+
s(24,40,28)t(24,24,12)s(24,48,20)+*
c(32,40,20)t(32,48,20)c(32,24,20)+*
s(40,24,28)c(40,24,20)s(32,24,20)*-
s(32,24,28)s(32,40,20)s(24,48,20)--
s(40,24,28)s(32,16,20)+c(32,40,20)-
s(48,40,20)c(24,40,20)-c(40,32,20)+
t(24,32,28)s(24,24,20)t(40,32,20)-+
t(40,24,20)t(48,24,12)-t(32,40,28)+
c(48,24,12)s(16,8,12)t(24,24,12)++
t(16,48,12)s(48,24,20)t(40,24,12)-+
c(48,48,12)t(24,24,20)t(32,32,12)-+
s(32,40,28)t(24,40,12)-t(24,40,20)-
s(24,24,28)s(32,40,12)-c(24,24,20)*
t(32,16,12)t(24,24,12)+s(40,40,20)+
s(24,40,20)t(40,32,20)+s(40,32,28)*
s(32,40,20)s(40,40,20)*s(40,32,20)+
s(24,32,28)s(24,40,28)c(32,40,20)+*
s(32,40,28)s(40,48,12)-s(32,40,12)-
s(32,24,28)c(24,24,20)*s(24,48,20)-
s(40,16,12)s(32,8,12)+c(32,32,12)+
t(24,32,20)s(40,40,28)c(32,24,20)*+
t(32,40,28)s(32,40,20)t(24,40,28)+*
c(40,24,20)s(40,32,20)*t(24,16,12)+
t(32,32,28)c(24,32,20)*c(32,24,20)+
s(48,48,20)s(32,16,20)+s(40,16,12)-
s(16,48,20)s(24,48,20)s(24,32,20)-+
s(24,40,28)t(32,48,28)s(16,16,20)+*
t(24,24,20)s(24,40,12)+t(16,56,12)+
t(40,56,12)t(48,32,12)c(24,48,12)++
s(48,16,12)t(24,32,28)t(40,40,12)-+
c(16,32,12)t(24,24,12)s(48,48,12)++
s(32,32,28)s(32,24,28)s(32,48,20)-*
t(40,48,20)t(32,32,28)s(16,16,12)++
s(40,32,20)t(32,32,28)*s(24,24,28)+
c(40,24,20)s(32,24,28)s(40,24,28)**
s(32,32,28)s(40,40,20)*s(40,48,20)+
s(40,24,20)t(32,32,20)c(40,24,20)*+
s(24,32,28)t(40,32,12)-t(32,24,20)-
s(32,40,28)s(32,32,28)*s(24,32,28)*
c(40,32,20)t(16,56,12)+s(32,48,20)+
s(24,32,28)c(32,32,20)s(24,32,20)*-
c(40,32,20)t(32,40,12)-c(24,32,12)-
s(24,16,20)c(24,40,20)t(32,24,20)-+
c(24,40,12)c(40,32,20)s(48,16,20)*+
s(16,48,20)c(32,32,28)t(32,24,20)-+
c(24,16,12)s(32,48,20)t(24,40,28)*+
c(24,40,20)t(24,24,12)-s(24,32,28)*
t(40,32,12)s(16,40,20)+t(16,16,12)+
c(40,48,12)s(48,32,20)s(48,24,20)*+
s(24,16,12)s(32,24,28)t(24,32,28)*+
s(40,40,28)s(48,48,20)t(40,40,20)+*
c(32,32,28)s(8,8,12)s(16,16,12)+-
t(32,48,28)t(24,32,12)s(32,48,20)+*
s(16,16,20)s(32,40,12)+c(16,24,12)-
c(32,32,20)c(40,24,20)*s(48,32,12)+
c(16,32,12)c(40,40,20)s(32,32,20)*+
s(16,32,20)s(24,32,20)*s(32,32,12)+
c(24,16,12)t(32,40,28)c(48,48,12)-+
c(40,40,20)t(48,40,12)-s(40,32,28)*
c(32,32,28)s(40,40,28)c(32,24,12)-*
c(24,32,20)t(24,48,12)-s(32,24,28)*
s(32,24,28)s(24,32,12)s(48,16,20)+*
s(32,24,28)c(24,24,20)*s(48,40,12)+
c(32,32,20)s(32,40,28)s(8,24,12)+*
c(32,32,12)c(40,24,20)c(48,32,12)-+
c(40,24,20)t(32,32,12)-t(24,40,20)+
c(24,32,20)s(32,32,12)-s(8,48,12)+
c(24,32,20)t(32,40,28)*s(40,32,12)+
c(32,32,28)s(32,40,28)t(32,48,28)*-
s(32,24,28)s(16,24,20)s(32,24,28)*-
t(24,40,28)t(40,24,20)+t(40,16,12)-
s(24,32,28)s(16,40,20)s(32,24,12)+*
t(24,32,28)s(40,40,20)+s(24,40,28)*
s(32,48,20)s(40,48,20)*s(48,48,12)+
s(24,32,20)s(24,40,12)-t(32,48,28)+
s(40,40,28)s(40,32,28)c(48,24,12)-*
c(24,24,20)s(40,16,12)-s(48,40,20)-
c(24,24,20)t(24,48,20)-s(48,40,20)-
c(32,32,20)c(24,16,12)-s(24,32,28)+
c(40,40,20)c(32,32,20)s(16,40,20)*+
s(24,40,28)t(24,40,28)-s(32,24,12)+
c(24,32,20)t(40,40,12)-t(16,24,12)-
t(32,48,28)t(40,32,20)s(48,48,12)--
s(40,32,20)s(40,16,12)-s(40,16,20)+
t(32,48,28)t(24,40,28)c(32,24,20)*-
s(24,16,20)s(16,32,20)c(32,32,12)-+
s(8,48,12)s(48,24,20)+s(40,32,12)-
c(48,24,12)s(24,24,20)s(16,32,12)-+
s(24,24,12)c(40,40,20)+c(48,48,12)-
s(16,16,12)c(32,24,20)s(48,24,20)*+
t(16,24,12)c(32,24,20)t(24,24,12)-+
s(40,24,28)s(40,16,12)-c(40,40,12)-
t(24,32,28)c(40,40,20)s(48,24,20)*-
s(40,32,20)s(32,16,20)s(32,40,28)-+
t(32,48,28)s(48,16,12)+s(32,32,12)-
c(32,32,20)t(32,32,28)*t(32,40,28)+
c(24,32,20)s(16,24,12)c(32,32,20)+*
c(40,48,12)t(40,24,20)t(40,40,20)-+
s(16,24,12)c(32,32,20)c(40,48,12)-+
s(32,32,28)c(40,32,20)t(32,48,20)+*
t(32,40,28)t(16,48,12)s(16,24,12)+-
c(40,32,12)s(40,40,28)c(24,32,20)*+
s(32,24,28)s(24,24,28)c(24,32,20)**
s(40,24,20)s(32,8,12)s(40,40,12)++
c(32,24,20)t(48,32,12)-t(32,16,12)-
s(24,32,28)c(40,40,20)c(48,40,12)--
s(24,40,28)s(40,40,28)*c(40,16,12)-
t(32,24,12)s(24,32,28)s(24,16,20)-+
s(24,40,28)s(8,32,12)-s(40,40,28)*
c(40,24,20)s(40,32,28)c(40,48,12)-*
s(40,48,20)t(32,32,28)s(32,48,20)-+
c(24,24,20)c(48,32,12)t(32,48,20)+-
c(40,16,12)s(8,32,12)s(32,24,12)++
s(32,40,28)t(32,32,28)c(40,32,12)--
s(48,8,12)s(32,24,20)s(24,16,12)-+
s(32,24,28)t(32,48,28)t(24,32,28)*-
s(32,40,28)s(40,40,28)s(16,24,12)+*
s(48,32,20)s(40,40,20)s(24,40,20)-+
s(40,32,28)t(24,40,28)+t(24,32,20)-
s(32,24,28)s(16,32,20)c(32,32,20)*-
s(32,48,20)c(24,16,12)+c(40,48,12)-
s(32,32,28)s(16,16,20)-c(32,40,20)*
c(24,24,20)t(40,40,20)+s(40,40,12)-
s(24,40,28)s(24,32,28)*s(8,48,12)-
s(24,40,28)t(32,48,20)-s(48,16,20)-
s(16,48,20)t(24,48,28)*t(40,56,12)+
t(24,48,12)c(32,24,20)s(16,32,20)-+
s(40,40,28)t(24,40,28)*t(24,24,20)+
c(48,32,12)c(32,40,20)+s(8,16,12)+
s(24,32,28)t(40,40,20)-t(32,40,28)+
s(32,24,28)c(32,40,20)+s(16,32,12)-
s(32,40,28)c(32,32,20)+t(24,48,28)*
c(32,32,28)s(16,40,12)-s(40,40,28)*
s(32,32,20)s(40,24,12)-s(32,24,20)+
c(32,16,12)s(32,40,28)+c(40,40,12)-
s(32,48,20)s(40,40,20)-s(40,24,28)+
s(40,8,12)s(40,40,28)+t(32,32,28)-
s(40,48,20)s(32,48,20)*c(24,32,12)+
s(32,24,28)s(16,48,20)-t(24,24,12)-
s(24,32,20)s(32,24,28)*t(40,32,12)+
t(24,32,28)s(16,8,12)s(32,32,28)+*
s(16,40,20)s(48,32,20)s(48,48,20)*+
s(32,24,28)c(32,32,28)s(48,40,20)-*
s(48,32,12)t(32,32,28)s(40,32,20)*+
s(8,48,12)c(24,40,20)+c(32,40,20)*
c(24,24,20)c(40,40,12)-s(40,40,20)-
s(32,40,28)s(32,24,12)-c(40,48,12)-
t(24,40,20)s(32,24,12)+t(32,40,28)+
t(24,32,28)s(24,32,28)s(24,48,12)-*
c(24,24,20)s(32,32,28)*c(24,40,20)+
s(32,40,28)t(40,48,12)-t(40,24,12)-
c(24,32,12)c(32,24,12)t(32,48,28)++
c(32,32,12)c(40,48,12)+s(8,8,12)+
s(48,8,12)t(32,40,20)+s(16,32,20)+
t(32,40,28)s(16,32,20)+t(24,32,20)-
s(48,40,20)s(24,40,28)s(40,32,28)*+
t(32,48,28)c(32,40,12)-t(24,32,12)+
s(40,32,20)c(32,24,20)t(40,24,20)-+
s(40,32,28)t(32,40,12)-c(24,24,12)-
s(48,48,20)t(48,48,12)c(24,32,20)++
t(32,40,20)s(24,16,12)+s(24,32,20)+
c(40,32,12)s(24,32,20)+c(24,24,20)+
s(24,40,28)c(32,32,28)c(16,40,12)-*
s(32,40,28)t(24,32,12)-s(32,32,12)-
c(32,32,28)s(32,24,20)-c(32,48,12)-
s(32,32,28)s(48,48,20)-s(40,24,12)-
s(32,24,28)s(16,40,12)-t(24,24,12)-
s(24,40,20)c(32,24,20)s(16,16,20)-+
s(40,40,28)s(48,48,20)t(32,40,20)--
s(8,16,12)s(24,40,12)+s(48,24,20)+
s(40,40,20)s(24,32,12)t(24,24,20)++
t(32,24,12)c(16,32,12)s(40,48,12)++
s(24,32,28)t(32,32,28)*s(48,48,20)+
t(24,32,28)s(40,32,20)t(40,24,20)*+
s(32,32,28)s(32,48,12)-s(32,40,28)*
s(40,40,28)s(24,24,28)c(32,24,20)*-
c(48,48,12)s(40,40,28)t(32,48,28)*+
s(48,32,20)c(40,32,12)-c(16,40,12)+
c(40,24,20)s(32,24,28)s(32,40,20)*-
s(24,48,20)s(16,48,20)*s(8,16,12)+
s(32,40,28)c(24,24,20)t(32,48,12)+*
c(40,24,20)t(32,40,28)s(32,48,20)--
t(40,40,20)t(48,40,12)-s(16,32,20)+
s(40,32,28)c(40,40,20)t(32,32,20)*-
c(32,32,20)t(40,24,12)-s(40,32,28)*
s(48,48,20)t(16,56,12)+t(40,56,12)-
s(32,40,20)c(40,40,12)-s(32,48,20)+
s(40,32,28)t(48,40,12)-c(40,32,20)*
s(24,32,28)t(32,32,28)*s(40,8,12)+
s(48,48,12)s(24,40,20)c(40,40,12)-+
s(40,32,28)c(32,24,20)c(32,40,12)+*
t(32,32,28)s(24,40,20)+t(24,32,28)*
t(32,32,28)s(48,40,20)s(32,32,12)--
c(48,16,12)s(24,40,20)s(48,48,20)-+
s(24,24,28)t(16,24,12)-s(16,16,20)-
s(32,32,20)s(40,24,28)s(48,24,20)-+
s(32,32,28)c(40,48,12)-t(32,32,28)*
c(32,40,20)s(48,32,20)s(40,24,12)--
s(40,32,28)s(40,16,20)s(40,32,20)*-
s(32,24,28)s(16,24,12)-s(24,48,20)-
c(32,40,20)s(24,40,28)*s(40,40,28)*
s(40,32,28)s(40,40,20)s(32,48,20)+*
c(48,40,12)s(16,48,12)s(24,24,20)++
t(24,48,12)t(40,24,20)t(24,24,20)++
s(48,8,12)s(32,48,20)c(32,32,20)*+
s(40,40,28)c(24,24,20)+s(40,32,20)-
s(16,40,20)s(32,24,20)+s(32,40,28)*
s(16,40,20)t(32,40,12)+t(32,24,20)-
s(16,48,20)s(16,32,20)-s(32,24,28)+
s(40,48,12)t(16,16,12)c(48,24,12)++
c(40,16,12)s(24,40,28)+s(32,24,28)*
s(40,40,28)c(32,40,20)*c(32,32,20)*
s(16,40,20)t(40,32,20)+c(32,40,20)*
s(48,48,20)t(24,48,28)+s(40,24,28)-
s(24,32,28)c(40,32,12)-t(16,32,12)-
t(32,48,28)s(24,32,12)-s(24,40,12)-
s(24,24,20)s(24,48,20)s(32,48,20)*+
c(32,24,20)t(32,40,20)+s(48,32,20)+
s(48,40,12)s(16,48,20)s(24,48,20)*+
s(40,32,28)t(32,40,12)-s(24,32,12)-
s(16,48,12)c(32,24,20)s(24,24,20)++
s(16,48,20)c(40,40,20)t(32,32,20)*+
s(40,48,20)s(24,24,20)+t(40,56,12)-
s(40,32,28)c(32,48,12)-t(24,40,28)-
t(40,16,12)c(16,24,12)+s(40,24,12)+
t(40,48,20)t(24,40,28)t(32,40,20)*+
s(40,32,20)s(32,16,20)s(32,24,12)-+
s(48,48,20)s(32,16,12)+s(16,24,20)+
s(48,24,12)s(40,8,12)+s(8,40,12)+
t(32,40,28)c(32,32,20)+t(32,32,28)*
c(40,24,20)s(24,48,20)c(40,48,12)-+
s(32,24,28)t(24,32,28)t(32,32,20)*-
t(32,40,28)t(24,24,20)+c(24,24,20)*
s(32,32,28)t(32,48,20)-t(16,40,12)-
c(24,32,20)c(16,40,12)-s(40,32,28)+
s(24,40,28)s(8,8,12)+c(32,48,12)-
c(16,48,12)s(24,40,28)s(16,40,20)-+
c(40,32,20)c(48,32,12)-s(24,24,12)+
t(40,40,20)s(40,48,20)*c(24,40,20)+
s(48,40,12)c(32,32,20)c(40,24,20)*+
s(24,32,28)t(16,24,12)-t(24,40,20)-
s(32,40,20)s(24,40,28)t(32,48,28)*+
t(40,24,12)s(48,48,20)+s(40,16,12)+
s(24,24,28)t(40,32,20)s(32,16,20)+*
t(24,40,28)s(48,32,20)c(32,40,20)*-
s(24,40,28)t(40,48,20)-c(40,24,20)-
s(40,32,28)t(48,40,12)-s(32,24,28)*
t(32,48,28)s(24,32,28)-s(40,40,20)+
s(32,40,28)s(32,40,20)t(24,32,20)--
c(40,48,12)s(16,48,20)s(32,48,12)-+
s(48,48,20)t(48,48,12)-s(16,32,12)+
s(32,40,28)s(32,32,28)s(16,16,12)-*
s(32,32,20)c(24,24,20)*s(40,40,12)+
s(24,16,20)s(16,40,12)+s(32,32,12)+
s(48,32,20)s(32,16,12)+s(32,16,12)-
t(48,16,12)c(40,40,20)+s(40,40,28)*
c(24,32,20)s(24,32,28)c(32,32,20)**
s(24,32,28)c(40,24,20)s(24,32,20)--
s(24,24,28)t(24,32,12)t(24,24,20)+-
c(24,40,20)s(40,32,28)t(40,32,20)--
s(40,24,28)c(32,24,20)*t(32,24,12)-
c(32,24,20)c(16,32,12)+t(24,32,28)*
s(24,32,28)s(32,32,28)*c(32,40,20)*
t(32,32,28)s(40,32,28)*c(48,40,12)+
c(32,32,28)s(24,40,28)-c(16,16,12)-
s(16,24,20)s(24,8,12)-c(16,40,12)+
s(24,24,20)s(32,8,12)-c(40,16,12)+
s(48,40,20)s(40,32,12)-s(32,24,20)+
c(24,40,20)s(48,24,20)+c(24,24,20)-
s(32,24,28)s(32,32,28)*c(40,24,20)*
t(48,16,12)c(32,24,20)t(40,16,12)-+
s(16,24,12)s(48,32,12)t(32,48,20)++
t(16,16,12)c(24,40,20)c(32,32,20)*+
c(40,40,20)s(8,48,12)+t(40,40,20)-
s(32,48,20)s(40,24,28)c(32,40,12)-+
s(32,40,28)s(16,40,20)t(32,24,20)--
s(40,40,28)s(48,24,20)t(40,24,20)*-
c(40,40,20)c(40,32,20)+c(32,40,20)*
c(48,40,12)s(32,16,20)+s(40,8,12)-
c(32,48,12)s(32,24,28)t(40,24,12)-+
s(32,40,12)s(24,16,20)s(32,16,20)*+
s(40,40,28)s(16,32,20)-c(40,32,20)*
t(32,40,20)s(16,32,20)s(24,40,28)*+
c(24,32,20)s(32,32,28)*t(24,32,28)*
s(24,32,28)c(32,32,20)*t(32,48,12)-
c(48,32,12)t(32,32,28)s(24,32,28)*+
t(32,40,28)s(16,24,20)+c(32,32,20)*
c(40,16,12)c(24,40,20)t(24,56,12)-+
s(24,16,12)s(32,24,12)s(48,24,20)++
c(32,40,20)t(24,48,12)-c(24,48,12)-
s(40,40,28)t(16,40,12)+s(48,32,20)-
s(40,32,28)s(24,16,20)s(32,24,28)*+
t(32,32,28)t(40,48,20)c(32,40,20)*+
s(32,24,28)s(40,24,20)s(24,24,28)*-
t(32,16,12)c(32,40,20)+t(48,48,12)-
s(24,24,28)s(40,24,20)s(32,16,20)*-
c(24,40,20)s(8,16,12)t(32,40,28)+*
s(24,40,28)s(48,16,20)+c(48,48,12)+
c(32,48,12)s(16,32,20)c(24,32,12)-+
s(40,32,28)c(32,40,12)s(32,16,12)+-
s(40,32,28)s(40,40,20)s(32,24,12)--
c(32,32,20)s(16,24,12)-s(40,24,20)+
s(32,40,28)c(40,32,20)s(48,40,20)*-
c(40,40,20)c(24,32,20)*s(8,40,12)+
c(32,32,20)c(40,24,20)s(48,24,20)*-
s(40,24,28)s(24,32,28)*s(40,48,20)+
s(24,24,28)s(24,32,28)s(24,40,20)--
s(48,8,12)s(32,48,20)t(24,48,28)*+
s(24,32,28)s(32,24,28)*c(32,24,20)*
t(24,48,20)s(32,24,20)t(24,32,12)-+
s(24,40,28)t(24,48,12)-t(24,40,20)-
c(32,32,28)s(40,24,28)t(24,32,12)-*
c(32,32,20)s(48,24,20)s(40,24,20)*-
c(32,24,20)s(48,24,20)*t(32,32,28)+
c(40,32,20)s(32,32,28)s(32,16,12)-*
c(32,32,20)s(32,8,12)+c(16,24,12)-
t(48,24,12)c(24,40,20)+s(40,40,28)*
s(40,40,28)s(40,40,20)c(32,40,20)*-
c(24,32,20)t(24,24,20)-t(16,16,12)+
s(32,48,20)t(48,16,12)+t(48,56,12)+
c(24,32,20)s(16,24,12)-t(16,48,12)-
c(40,40,20)c(24,40,20)*t(32,24,20)+
c(16,48,12)s(24,40,20)s(32,40,20)*+
c(40,24,20)s(32,40,20)s(48,16,20)+*
c(32,32,28)c(16,40,12)-t(40,32,12)-
s(24,32,28)c(40,48,12)+c(24,48,12)-
s(32,40,20)t(40,32,20)s(16,40,20)-+
s(24,24,28)s(48,8,12)t(24,16,12)+-
s(40,24,28)s(32,40,20)s(40,40,12)--
s(24,32,28)t(24,24,12)t(24,16,12)+-
s(40,40,28)s(32,32,28)*c(32,40,20)*
c(32,32,20)s(40,40,28)*c(40,32,20)*
s(16,48,20)s(40,32,20)s(32,24,28)*+
t(24,32,28)s(24,32,28)s(8,32,12)-*
s(24,40,28)s(16,32,20)c(16,16,12)--
t(32,56,12)c(24,32,20)+c(24,24,12)-
c(24,24,12)s(32,40,20)+s(48,32,20)-
t(24,48,20)s(32,24,28)+s(16,16,20)-
s(24,40,28)c(32,24,20)s(24,24,28)*+
s(24,48,12)s(40,40,20)+t(24,32,20)+
c(40,40,20)t(32,24,20)s(32,48,20)--
s(32,16,20)s(16,24,12)+s(16,16,12)-
s(32,24,28)c(32,32,12)-s(48,40,20)+
c(24,40,20)s(32,48,20)s(40,24,28)+*
s(40,40,28)s(48,32,12)t(24,40,28)+*
s(32,48,20)t(32,48,12)-c(40,40,12)+
s(24,24,28)t(32,32,28)s(32,48,20)*-
s(32,32,28)t(24,40,28)s(8,8,12)+*
t(16,32,12)t(32,24,12)+c(40,24,20)+
s(32,32,28)s(32,16,12)-c(48,16,12)+
s(16,32,20)s(48,16,20)s(40,24,28)*+
c(32,24,20)t(24,40,28)t(40,40,12)--
s(40,32,28)s(40,40,28)*t(48,24,12)-
t(24,40,28)s(16,16,12)+s(16,8,12)-
t(32,48,20)s(48,48,20)t(40,40,12)-+
c(48,48,12)s(24,32,28)s(40,16,12)-+
s(16,24,20)s(32,16,20)s(32,24,20)*+
c(24,40,20)t(40,32,12)t(40,48,20)+-
s(40,32,28)t(32,40,12)-c(40,32,20)*
s(32,24,28)c(40,40,20)+t(32,40,28)*
s(40,48,12)s(24,24,28)+s(16,16,20)-
s(40,24,20)c(40,24,20)s(32,48,20)-+
c(32,32,20)c(40,24,20)s(24,24,20)--
c(40,24,20)t(40,24,12)-s(40,32,28)*
c(32,32,20)s(24,16,20)c(24,32,20)*-
s(40,32,20)c(24,32,20)+c(40,40,20)*
s(40,32,20)s(48,24,12)-c(48,48,12)+
s(16,16,12)t(32,32,28)+c(24,32,20)*
c(40,40,12)t(24,48,28)c(24,40,20)*+
s(40,40,20)t(32,32,20)s(8,16,12)++
c(16,48,12)c(24,24,20)+s(40,16,12)-
s(24,24,20)c(16,32,12)+s(40,24,12)-
c(24,24,12)t(40,40,20)+s(24,16,20)+
s(32,32,12)c(40,16,12)+t(24,24,12)+
s(32,40,28)t(24,24,20)t(24,48,20)+*
s(24,40,28)s(40,32,28)s(40,24,12)-+
c(32,32,28)s(40,24,28)*s(16,32,20)-
s(48,8,12)s(40,32,28)t(32,40,20)-+
t(24,40,20)s(24,16,20)-t(32,32,28)+
t(32,40,28)s(40,32,20)s(48,40,20)*+
s(24,32,28)s(40,24,20)-s(24,16,12)-
c(32,24,20)s(40,32,20)s(48,24,20)*-
s(32,32,28)c(16,32,12)-c(32,24,12)-
s(40,40,28)s(40,48,12)s(40,24,20)+*
s(40,40,28)s(40,32,28)s(40,40,12)-*
c(40,24,20)c(24,24,20)*c(16,32,12)+
c(32,24,12)s(24,8,12)c(32,32,12)++
s(24,40,28)s(40,24,28)s(32,32,28)*-
s(32,40,28)t(32,32,28)c(40,40,20)--
s(40,16,20)s(24,16,12)-s(24,32,12)+
s(24,16,20)s(24,32,20)-t(32,40,28)+
s(16,32,20)t(24,32,28)c(24,32,20)*+
t(40,56,12)s(32,16,20)s(40,16,12)-+
c(40,24,20)c(32,24,20)s(24,32,20)*+
s(24,32,28)s(16,24,20)*t(16,56,12)+
s(24,24,28)t(32,56,12)s(48,8,12)++
s(32,24,28)s(24,24,28)c(24,32,20)**
c(40,40,20)t(40,48,12)s(48,24,12)+-
c(32,24,20)s(32,40,28)s(16,40,20)-+
s(32,24,28)s(24,32,28)*t(32,32,28)+
s(32,24,28)t(48,32,12)-c(32,32,12)-
s(24,40,20)s(8,24,12)+t(40,48,12)+
t(32,24,20)s(24,40,20)s(32,24,20)-+
t(32,32,28)s(32,24,28)t(24,16,12)-*
s(16,24,20)s(40,24,28)s(24,40,20)-+
s(40,48,20)s(32,16,12)t(40,48,20)++
c(32,32,28)s(40,24,28)t(32,16,12)-*
s(32,32,28)t(40,40,12)-s(32,24,28)*
c(40,32,12)s(8,32,12)s(32,32,12)++
t(32,48,20)s(32,32,28)s(40,24,20)-+
c(24,32,20)s(16,16,20)s(40,32,28)+*
s(24,24,12)c(32,32,20)s(32,32,12)-+
s(40,40,28)t(48,48,12)-c(16,40,12)+
s(32,32,28)s(40,32,28)t(32,48,28)*-
c(48,40,12)s(24,24,20)s(32,32,28)*+
t(24,32,20)s(48,40,20)c(48,48,12)-+
t(24,40,28)s(40,24,12)+s(40,32,28)*
t(16,48,12)s(40,24,28)t(48,16,12)-+
s(16,32,20)s(24,24,28)*c(32,40,20)+
s(24,32,28)s(24,24,12)-s(8,48,12)-
t(32,40,20)t(40,16,12)+t(32,32,28)+
s(24,40,20)t(32,24,20)s(32,32,20)*+
s(48,48,12)s(32,16,20)+s(16,32,20)+
c(24,32,20)s(32,40,12)t(48,24,12)+-
s(24,24,28)s(40,40,28)c(32,32,20)*-
c(32,32,20)s(32,40,20)c(16,32,12)+*
c(32,24,20)s(16,40,20)-t(24,56,12)+
s(16,48,12)s(32,16,20)c(32,40,20)-+
s(32,40,28)c(24,40,20)c(24,24,20)+*
t(24,48,20)c(40,24,20)s(48,24,20)*+
s(16,16,20)s(32,32,28)+c(40,24,20)*
s(48,24,20)t(40,48,12)s(24,16,12)++
s(24,48,20)c(48,32,12)+t(16,40,12)-
c(32,40,20)t(24,48,28)+s(24,16,20)-
s(24,32,28)t(32,32,28)+c(24,40,20)+
c(24,48,12)c(16,16,12)+c(32,24,20)+
c(24,40,20)t(32,48,12)s(24,24,12)+-
s(16,16,12)t(40,32,12)t(32,48,28)++
c(32,40,20)s(32,16,20)s(40,40,28)+*
s(32,40,28)s(16,16,20)+s(32,32,20)-
c(32,32,28)c(24,24,20)s(32,24,28)*-
s(40,24,20)s(24,40,20)-c(48,32,12)+
s(48,32,20)c(32,16,12)-c(48,48,12)+
s(32,32,20)s(32,24,28)s(48,24,20)*+
c(40,32,20)s(32,16,20)+c(24,32,20)-
c(24,32,20)c(32,40,20)s(40,16,20)-+
s(40,40,28)c(32,32,20)s(32,24,20)*-
s(32,40,28)s(40,32,28)*s(32,24,20)+
s(8,48,12)t(32,48,28)s(48,48,20)-+
s(24,32,28)c(24,32,20)t(32,40,28)*-
s(32,8,12)s(48,32,20)+s(8,8,12)+
s(24,40,28)t(32,48,12)-s(24,32,12)-
c(24,24,20)s(16,32,20)*s(16,48,20)+
s(32,40,20)c(16,40,12)-c(48,24,12)+
c(32,32,28)s(40,40,12)-c(32,40,20)*
s(32,32,28)s(40,32,28)t(32,16,12)-*
c(32,32,28)c(40,40,12)-s(16,40,20)+
s(40,32,20)s(8,48,12)+s(48,32,12)-
s(24,16,20)s(32,40,20)-s(40,32,12)+
c(40,32,20)s(24,24,20)c(32,32,20)*-
t(48,56,12)s(48,32,20)+s(32,48,20)-
s(32,40,28)c(32,40,12)-c(48,40,12)-
c(32,32,20)s(32,16,20)s(24,8,12)-+
s(16,16,20)c(32,24,20)s(24,24,20)*+
c(40,32,12)s(32,40,20)t(16,56,12)++
s(32,24,28)c(32,16,12)-t(40,40,12)-
c(40,48,12)s(16,16,20)t(24,40,12)++
s(40,24,28)c(16,16,12)c(48,32,12)+-
c(24,24,20)s(16,24,12)-t(40,48,20)+
c(40,32,20)s(24,8,12)+c(40,40,12)-
c(40,24,20)c(24,32,12)+c(48,16,12)-
s(48,40,12)s(24,48,20)+s(8,40,12)+
s(32,32,28)s(24,32,28)*s(40,32,28)*
c(32,24,20)t(24,32,28)t(32,40,20)*-
c(32,24,20)s(32,24,28)c(48,16,12)-*
c(40,40,20)t(40,32,12)s(40,40,12)+-
c(32,32,20)s(32,32,28)c(16,40,12)-*
s(32,24,28)s(24,40,28)s(16,24,20)*-
c(16,16,12)s(40,40,28)c(24,40,20)*+
t(24,40,28)s(24,40,28)t(40,24,20)-*
s(40,24,28)s(48,40,20)+c(32,32,20)*
s(40,16,20)t(32,32,28)c(40,40,20)*+
s(32,24,20)t(32,40,20)t(32,32,28)*+
s(48,24,20)s(32,24,28)*s(24,24,28)+
s(32,24,28)s(32,16,12)-s(32,24,12)-
s(16,40,20)s(16,32,20)*s(32,48,20)+
t(24,32,20)c(24,32,20)s(40,40,28)*+
c(24,32,20)s(16,24,12)-c(24,24,20)+
s(32,40,28)s(40,24,12)-s(32,16,20)-
t(32,32,28)t(40,56,12)+s(32,32,28)*
c(32,16,12)t(24,40,28)s(16,40,20)*+
c(32,16,12)t(32,32,28)c(40,40,20)*+
t(24,48,12)s(48,16,20)s(40,8,12)-+
s(40,40,28)t(32,24,20)-t(48,40,12)-
t(24,40,28)s(8,40,12)-s(8,48,12)-
c(32,32,20)s(24,48,20)t(32,48,28)*-
s(24,16,12)s(32,24,28)s(40,40,20)*+
s(32,32,28)t(24,16,12)-t(24,48,12)-
c(32,40,12)t(32,32,20)+t(40,48,12)+
c(24,40,20)c(32,24,12)+t(40,24,20)-
s(24,24,28)s(24,40,12)-c(32,32,28)*
c(32,32,20)t(24,32,28)s(40,32,20)--
c(24,32,20)s(32,16,20)c(24,24,20)*-
c(32,40,20)c(24,24,20)+s(40,48,12)-
c(40,24,20)s(40,40,28)c(24,40,20)*+
s(40,40,28)s(24,48,20)+t(48,48,12)-
t(32,32,28)s(32,24,28)s(48,16,12)-*
s(24,32,28)s(24,24,28)s(32,24,28)**
s(40,32,28)t(40,32,20)s(16,24,20)+*
c(40,24,12)s(8,24,12)+s(40,16,20)+
c(24,40,20)s(40,40,20)-s(40,40,20)+
c(32,40,20)s(24,40,28)t(16,32,12)-*
s(24,40,28)t(16,56,12)c(40,40,20)+*
c(40,32,20)s(24,32,28)s(48,48,20)+*
c(24,32,20)t(24,48,28)s(16,40,12)--
s(24,32,20)s(16,24,20)-s(16,32,20)+
s(32,32,28)s(24,40,28)s(40,32,20)*-
c(40,40,12)t(24,32,28)t(24,48,20)-+
s(24,24,28)t(24,32,28)t(32,40,20)--
c(24,32,20)c(32,40,20)t(40,48,20)*-
s(16,40,20)s(40,32,20)-t(32,32,20)+
s(24,24,28)s(40,24,12)-s(40,32,20)-
s(32,32,28)c(24,32,20)s(16,16,20)+*
t(32,48,28)c(40,32,12)-t(16,24,12)+
s(24,32,28)s(40,16,20)s(40,24,20)*-
s(32,40,28)t(16,48,12)-s(32,24,28)*
c(32,40,20)c(16,24,12)-s(48,48,12)-
s(48,48,20)t(40,16,12)+s(24,48,12)+
s(8,40,12)s(40,40,28)s(24,40,20)*+
c(40,40,20)s(24,40,20)c(32,24,12)--
t(24,32,28)c(32,32,20)t(32,24,20)-+
c(32,40,20)s(24,24,20)t(24,40,28)*-
c(32,32,28)c(32,32,28)s(48,32,20)*-
s(40,40,28)s(40,32,28)*c(32,48,12)-
s(40,32,28)s(40,16,20)s(32,24,20)*-
t(32,40,28)s(16,32,20)c(24,40,20)*+
t(40,16,12)s(16,24,20)s(24,16,12)-+
s(16,48,12)s(16,32,20)+t(24,40,12)-
c(24,24,20)t(24,40,28)c(16,32,12)--
c(32,32,28)c(32,40,20)t(32,40,28)*-
c(24,32,20)c(40,32,12)+t(32,48,28)+
c(24,40,20)t(24,40,28)c(40,32,20)+*
s(40,24,28)c(24,16,12)-s(32,32,12)-
t(24,40,28)s(48,48,20)+t(24,48,20)-
s(40,24,20)t(40,48,12)+c(40,32,20)*
s(32,24,28)c(32,32,28)c(24,48,12)-*
s(32,8,12)c(24,40,20)t(24,48,20)-+
s(16,24,20)s(24,24,20)*t(40,40,12)+
s(40,24,28)t(32,32,28)s(24,32,28)+*
s(24,40,28)s(32,40,28)t(32,24,20)-*
s(24,32,20)t(32,48,28)+c(40,32,12)-
s(32,40,28)t(16,32,12)-t(32,40,28)*
c(32,32,28)c(24,48,12)-s(24,24,28)*
s(32,16,20)c(32,40,20)-s(32,32,20)+
c(32,40,20)t(32,40,28)s(40,32,28)+*
t(24,24,20)c(24,32,20)s(16,24,20)-+
s(40,40,28)t(32,40,12)-t(32,32,12)-
c(32,24,20)s(40,24,28)*s(40,40,12)-
s(40,32,28)s(24,32,28)c(16,48,12)-*
t(16,40,12)s(32,40,20)+s(16,24,12)+
s(24,32,28)s(8,48,12)-t(24,32,28)+
s(16,48,20)s(16,40,20)*t(40,40,12)+
s(24,32,28)c(32,32,20)s(48,32,20)*-
t(24,32,28)t(40,48,20)-s(48,16,20)+
c(48,48,12)t(16,32,12)+t(24,24,20)+
s(48,32,20)c(32,32,20)*s(48,40,20)+
t(24,48,20)c(24,32,20)t(24,48,28)-+
c(32,16,12)t(24,40,20)+s(40,24,28)+
s(32,24,28)c(24,40,20)*s(32,8,12)+
c(48,16,12)s(32,32,28)+t(24,32,12)-
s(24,32,20)s(16,40,20)-s(48,16,20)+
s(16,48,12)s(40,24,20)t(32,32,28)*+
s(40,16,20)s(32,48,20)c(24,48,12)-+
s(32,40,28)t(32,48,20)s(16,32,20)--
c(32,16,12)t(40,40,20)s(48,40,20)*+
s(48,40,20)s(16,40,20)t(24,24,12)-+
s(32,40,28)s(32,40,12)-s(48,32,20)-
s(32,40,28)c(48,40,12)-t(40,24,20)-
s(24,32,28)s(8,32,12)-c(16,48,12)-
s(24,32,28)c(32,48,12)-s(24,24,12)-
s(24,32,20)s(8,48,12)+c(32,40,12)-
s(24,40,28)s(32,40,28)c(24,24,20)*-
c(24,24,20)s(32,48,20)s(32,32,28)*-
c(32,32,28)s(48,32,20)-s(24,48,12)-
s(40,32,28)s(32,48,12)-t(24,24,12)-
s(40,40,28)s(32,40,28)*t(32,48,12)-
t(24,32,28)c(40,24,20)*t(40,48,20)+
c(32,40,20)t(40,32,12)-t(32,56,12)-
s(32,32,28)s(40,48,20)-s(40,32,12)-
c(40,24,20)s(24,24,20)*s(24,16,20)+
c(32,40,20)t(32,24,12)-s(24,40,28)*
s(24,40,28)c(40,16,12)s(24,32,28)+*
t(40,40,20)s(24,32,28)c(32,40,20)-+
c(24,24,20)s(40,40,28)s(32,24,12)--
s(32,32,28)s(48,32,20)*t(32,40,20)+
s(40,40,28)s(32,40,28)s(48,24,20)-*
t(32,40,28)s(32,24,20)*s(24,40,20)+
s(32,40,20)s(40,16,20)+s(24,32,12)-
c(40,24,20)t(24,48,28)c(32,40,20)*-
s(16,32,12)s(40,40,28)t(24,40,12)-+
t(40,24,20)s(32,32,20)c(24,40,20)*+
s(24,40,20)s(48,40,20)-t(40,56,12)+
t(24,48,20)s(48,24,20)+c(40,40,12)-
s(48,32,20)s(32,40,12)-s(48,40,20)+
c(40,32,12)s(32,16,20)+c(40,24,20)*
s(16,32,12)s(40,48,20)+s(40,16,12)+
s(40,40,28)t(24,32,28)c(40,24,20)-+
t(40,40,20)s(32,16,20)c(32,24,20)*+
s(40,8,12)t(32,40,28)+t(40,32,12)-
s(40,24,28)s(32,32,20)s(40,32,20)+*
s(24,32,28)s(32,24,20)c(40,32,20)+*
s(24,40,20)s(48,16,20)t(32,56,12)++
s(40,24,28)c(24,24,12)s(32,40,12)+-
s(48,32,20)c(40,32,20)*s(24,40,28)+
t(32,48,12)s(16,24,20)+s(24,40,12)-
t(40,32,20)s(8,8,12)s(16,48,20)++
s(32,24,28)t(24,32,28)t(24,16,12)-+
t(24,32,28)c(32,16,12)-t(24,40,20)+
s(32,24,28)c(24,32,20)+t(24,48,20)-
c(24,32,20)s(32,40,28)*t(48,48,12)+
t(32,32,28)s(24,40,12)-s(32,16,20)+
s(40,32,28)c(40,24,20)c(40,16,12)--
s(16,24,12)s(32,16,12)+c(48,24,12)+
s(32,24,28)s(32,40,28)c(24,32,20)--
c(24,40,20)t(40,48,20)s(40,32,12)-+
s(40,32,20)t(24,32,28)+s(40,32,28)*
s(16,16,20)s(16,32,20)*s(48,24,20)+
s(32,24,28)s(24,40,20)*s(48,40,20)+
s(32,24,20)c(24,40,20)*s(16,32,20)+
s(40,8,12)s(24,16,20)+s(24,24,20)+
c(32,32,20)s(24,32,28)t(32,40,12)-*
t(48,40,12)c(40,48,12)c(40,24,12)++
s(40,24,28)s(40,32,20)t(24,48,28)+*
s(16,48,12)s(40,48,20)c(32,48,12)-+
s(48,8,12)c(24,32,20)c(32,32,12)-+
s(40,32,20)s(24,24,20)-t(32,24,20)+
s(40,48,20)c(32,24,12)+s(24,40,20)-
s(8,8,12)t(24,48,20)+s(16,24,12)+
s(32,24,28)t(32,16,12)-s(24,24,28)*
s(32,24,28)s(32,8,12)-s(40,32,28)*
t(24,48,20)s(24,40,20)*c(40,32,20)+
s(48,48,20)s(40,32,20)c(48,32,12)-+
c(40,32,20)t(48,48,12)-s(24,16,20)-
c(40,24,20)s(48,24,20)c(40,40,20)*-
s(48,40,20)t(40,24,20)c(40,40,12)-+
s(40,32,28)s(32,48,20)s(24,48,20)*-
c(24,48,12)t(24,32,28)+c(24,16,12)-
s(32,48,12)t(40,32,20)+s(24,8,12)+
c(40,24,20)t(24,40,20)c(32,32,20)*-
t(48,48,12)c(32,32,20)c(48,48,12)-+
c(32,32,28)c(40,32,20)s(48,16,12)--
s(24,24,28)s(32,40,20)*s(40,32,20)+
s(48,32,20)s(40,16,20)-c(24,40,12)+
t(32,32,28)t(40,40,12)-t(32,56,12)+
c(24,24,20)s(24,32,20)*c(40,48,12)+
s(40,24,28)s(16,40,20)c(40,32,20)+*
s(40,24,28)t(40,24,12)s(32,8,12)+-
c(24,32,12)t(40,48,20)t(32,40,28)*+
c(24,40,20)t(24,32,28)s(32,32,28)+*
c(32,32,28)s(40,16,20)-s(32,40,28)*
s(24,40,28)c(24,24,20)s(40,16,20)*-
t(48,16,12)s(24,32,28)+t(16,40,12)-
s(40,32,28)s(16,32,12)t(32,24,12)+-
c(40,32,20)t(32,48,20)c(40,40,20)*-
s(8,8,12)s(32,40,20)+t(40,48,20)-
c(24,32,20)t(40,24,20)t(32,24,12)+-
s(32,24,28)s(24,40,28)s(48,48,20)+*
s(32,24,28)s(32,32,28)t(40,48,20)-*
s(24,32,28)s(32,32,28)*s(16,48,20)-
t(40,48,12)s(40,32,20)t(32,32,12)-+
c(32,24,20)s(24,32,28)s(40,48,12)-*
s(24,32,28)s(40,32,28)s(40,40,28)*-
s(24,32,28)s(40,40,28)s(48,48,20)*-
s(32,24,20)s(24,40,20)+t(24,24,12)-
s(32,24,28)t(32,32,28)*s(40,48,20)+
s(40,32,28)c(40,24,20)c(24,24,20)*-
t(40,48,20)s(40,40,20)*s(24,32,20)+
s(40,32,28)t(32,24,20)-t(32,32,20)-
t(24,48,28)s(48,48,20)c(40,40,20)*-
s(32,48,20)s(24,32,20)+t(32,48,20)-
s(24,32,28)c(32,32,20)*s(24,24,28)*
t(40,32,20)s(40,16,20)c(32,32,12)-+
t(24,40,28)t(32,24,20)s(32,32,20)*-
c(32,32,20)t(40,24,20)*t(32,40,28)+
c(32,32,20)s(32,40,28)*s(32,24,28)*
s(32,40,28)s(40,24,20)+c(40,40,20)*
c(32,32,28)s(24,40,28)t(32,48,28)*-
s(32,40,28)t(24,32,28)s(32,24,12)--
c(24,24,20)s(16,32,20)t(24,32,28)*+
s(32,16,20)s(48,16,20)*s(32,24,20)+
s(24,32,28)c(40,40,12)s(48,24,20)+-
c(40,40,20)t(40,32,12)-s(48,16,20)-
t(48,32,12)s(24,16,20)+c(24,32,12)-
s(40,40,28)t(40,32,20)-t(40,48,12)-
c(32,24,20)t(16,24,12)-c(40,24,20)*
s(24,32,28)t(32,32,20)t(40,16,12)+-
c(32,32,28)t(24,32,28)s(40,24,28)--
s(24,24,28)c(32,24,20)c(24,40,20)*-
s(8,8,12)t(24,40,28)s(48,48,20)-+
s(40,24,28)t(32,48,28)-c(24,32,12)+
s(40,24,28)c(40,32,20)*s(8,16,12)+
s(40,24,28)s(16,48,12)+c(32,32,28)*
s(32,16,20)s(32,40,20)s(8,32,12)++
s(16,16,20)s(24,32,28)+t(24,32,28)-
c(16,32,12)c(32,32,20)+s(32,24,28)*
c(24,40,20)c(32,16,12)+s(24,32,28)*
s(40,24,28)c(24,24,12)-s(48,40,12)-
s(40,32,28)s(48,48,12)-c(40,24,20)*
s(16,16,20)c(40,24,20)s(40,40,28)*+
s(24,40,28)c(24,32,20)t(24,32,28)**
s(48,40,20)s(48,40,12)-t(32,48,20)+
c(32,40,20)c(48,40,12)-s(32,40,20)+
c(32,40,20)c(32,24,20)s(24,16,20)*-
c(32,40,20)t(32,56,12)-s(24,32,28)*
s(24,40,28)s(24,24,28)*c(32,48,12)-
c(32,32,20)c(24,16,12)+t(40,32,20)-
s(40,24,28)t(32,24,12)-c(32,24,20)*
t(40,24,20)s(48,48,20)s(32,40,20)-+
s(8,40,12)s(40,40,28)+c(48,48,12)-
s(24,24,28)s(32,24,28)s(32,48,20)-*
s(16,32,20)t(32,48,28)+s(24,32,28)*
s(48,8,12)s(40,32,20)+c(32,32,28)*
s(32,32,20)s(16,16,12)+c(24,32,20)*
t(32,40,28)t(24,32,28)c(24,32,12)-+
t(16,48,12)s(48,40,20)+t(24,48,20)-
s(48,32,20)s(40,32,12)-t(16,56,12)+
s(48,40,20)s(40,24,12)+s(24,24,12)+
s(24,48,20)s(48,48,20)+s(32,40,28)*
t(24,24,20)s(24,48,20)+s(32,32,28)*
t(32,24,12)c(24,48,12)t(48,32,12)++
s(32,32,28)s(16,16,20)t(24,16,12)--
s(24,32,28)s(8,16,12)-t(24,24,20)-
t(24,32,20)c(32,24,12)+t(32,32,28)+
s(32,24,28)s(16,16,12)-c(40,24,20)*
s(32,40,28)t(32,32,28)s(40,24,28)*-
s(24,48,20)t(40,24,12)+t(40,40,20)-
c(40,40,20)s(24,40,28)*s(48,40,20)+
s(32,40,28)s(8,16,12)t(32,40,28)+*
s(24,32,28)c(16,48,12)-s(40,16,20)-
s(32,32,28)t(24,40,28)t(48,40,12)+*
c(32,32,20)c(24,32,12)s(40,8,12)++
s(40,24,20)s(48,24,20)s(48,8,12)-+
s(32,32,28)s(24,48,12)-s(40,40,12)-
c(32,32,20)t(40,24,12)-s(32,16,12)-
s(40,40,28)t(32,48,12)-s(40,24,28)*
c(32,40,20)t(16,40,12)-c(24,24,12)-
c(24,24,12)s(16,48,20)t(16,24,12)++
c(40,40,20)c(24,40,20)*s(32,24,20)+
s(16,40,20)s(40,40,28)s(24,40,20)*+
c(32,32,28)s(32,16,12)-s(48,48,12)-
s(32,40,28)s(24,32,20)*t(24,16,12)+
s(40,32,28)s(16,16,12)+s(24,24,28)*
s(16,40,20)c(16,48,12)-s(32,8,12)+
t(16,48,12)s(40,40,28)c(24,40,12)-+
t(40,40,12)c(40,32,12)+s(48,24,20)+
s(16,32,20)c(32,32,28)*s(32,16,12)+
c(40,32,12)s(24,16,20)+t(40,40,20)-
s(40,32,28)s(40,32,12)-s(48,32,12)-
s(32,32,12)t(24,48,28)+c(32,32,28)*
c(24,32,20)t(48,40,12)t(32,40,12)+-
c(24,40,12)t(40,40,12)+s(32,8,12)+
t(24,40,28)t(24,48,20)-t(32,40,20)+
t(24,40,28)c(32,32,20)+t(16,48,12)-
s(40,32,20)s(32,48,20)t(32,56,12)-+
s(40,40,28)c(24,40,20)s(24,32,28)*+
s(40,40,20)c(24,40,20)+c(24,24,12)-
s(8,24,12)s(40,24,28)s(40,32,28)*+
t(24,48,20)s(16,24,12)+s(32,16,20)+
t(32,48,20)s(24,16,20)+t(24,40,20)-
s(32,48,20)t(40,48,20)+t(32,48,28)*
s(40,16,20)t(24,32,20)+t(40,24,12)-
c(24,48,12)s(24,24,28)s(32,24,20)-+
c(32,32,20)t(40,16,12)-c(32,16,12)+
s(32,32,28)t(32,32,12)-s(24,40,12)-
s(40,32,28)c(32,40,20)s(48,24,20)+*
s(32,32,28)t(40,24,20)-c(48,32,12)-
t(32,32,12)s(8,8,12)+t(24,48,28)+
c(32,32,28)s(40,24,28)s(16,24,20)+*
c(16,32,12)s(40,40,28)+c(32,32,20)*
s(40,40,28)t(48,40,12)-c(40,40,12)-
s(40,24,28)t(40,24,12)-c(32,32,28)*
c(24,40,20)c(40,32,20)c(40,32,12)--
c(32,32,28)c(32,32,12)-c(32,32,20)-
c(24,24,20)s(48,24,20)s(40,16,20)*-
t(24,48,28)c(48,48,12)+c(24,40,20)*
t(32,48,20)c(48,24,12)c(32,32,12)++
t(16,48,12)t(24,40,20)+s(48,16,20)+
s(24,32,28)c(24,24,20)*t(48,32,12)+
c(40,24,20)s(32,32,20)*s(24,24,20)+
c(24,40,20)s(24,40,28)c(40,32,12)-*
c(48,48,12)s(32,24,20)c(40,32,20)*+
t(48,16,12)s(32,32,28)t(32,40,28)*+
s(32,40,28)s(48,16,20)+s(48,32,20)-
s(40,40,28)s(48,48,20)*t(32,56,12)+
s(32,24,20)s(48,32,20)+s(40,24,12)-
t(32,40,12)s(48,24,20)t(32,24,20)-+
s(48,24,20)t(24,24,20)s(40,24,20)++
c(32,40,20)s(40,32,28)s(48,40,20)+*
t(24,48,20)s(32,24,20)+c(40,48,12)-
t(32,32,20)s(40,32,28)t(24,40,28)*+
s(24,16,20)t(40,40,20)+t(24,16,12)-
s(40,24,28)c(24,32,20)c(40,24,12)+*
s(32,32,28)c(40,40,12)-c(24,32,20)*
c(32,24,20)t(24,40,28)s(16,24,12)--
t(40,32,20)t(32,48,20)+c(16,48,12)-
c(32,32,28)s(40,24,28)c(40,32,20)*-
s(32,24,28)t(40,32,12)-s(16,16,20)-
c(32,24,20)c(24,40,20)s(16,24,20)--
c(32,32,28)c(16,32,12)-c(40,40,20)*
t(40,48,20)c(24,16,12)t(16,24,12)++
s(16,48,20)s(24,24,28)-c(40,32,20)+
t(24,32,28)s(8,32,12)-s(32,16,12)+
s(40,40,28)t(32,40,28)s(48,40,20)*-
t(24,48,20)t(32,48,12)-s(16,16,20)+
t(24,40,28)t(40,24,20)s(48,40,12)--
c(24,48,12)c(40,24,20)t(32,32,20)-+
s(24,40,28)s(32,32,28)-s(8,16,12)+
t(16,16,12)s(40,24,28)+c(40,32,20)*
c(32,40,20)s(40,24,28)c(48,40,12)-+
s(32,32,28)s(24,40,20)s(40,32,12)--
c(32,32,20)s(32,32,28)s(32,32,20)--
t(40,24,20)t(24,40,20)t(24,24,12)-+
c(40,24,20)t(24,32,12)-s(32,40,20)+
s(32,32,28)s(32,48,12)t(16,24,12)+-
s(48,16,12)t(40,56,12)+c(40,24,20)+
s(24,40,28)s(32,48,20)s(48,16,20)+*
c(40,32,20)t(24,48,20)s(40,48,12)--
s(24,32,28)s(32,16,20)t(24,40,28)-+
s(16,16,20)c(32,40,20)t(24,32,28)-+
s(32,24,20)s(32,40,20)+s(24,32,28)*
s(24,32,28)t(32,32,28)t(24,32,12)--
s(40,24,28)c(40,32,20)-s(16,16,20)+
t(24,32,20)s(40,16,20)s(48,16,20)*+
t(40,56,12)s(32,32,20)t(24,40,28)++
c(40,24,20)s(24,40,20)s(24,24,28)*-
c(16,16,12)s(32,24,20)s(48,24,12)-+
t(40,48,20)t(24,40,20)-s(32,24,28)+
s(40,24,20)s(32,40,20)+c(16,40,12)-
s(32,40,28)t(24,48,28)+s(40,24,28)-
t(16,56,12)c(32,32,28)s(32,16,20)*+
s(32,32,28)s(40,32,28)c(40,24,12)-*
s(40,40,20)s(48,40,20)*c(32,24,12)+
c(32,24,20)t(32,16,12)c(40,48,12)+-
s(32,32,28)c(32,40,20)t(32,48,12)-*
t(32,32,28)c(48,48,12)-t(40,16,12)+
c(48,16,12)c(24,48,12)t(24,32,12)++
s(40,32,28)s(40,16,12)-c(40,40,12)-
s(40,40,28)s(24,24,28)c(32,32,28)*+
s(32,40,20)t(24,40,28)c(32,32,12)-+
s(24,24,12)t(24,32,28)c(16,16,12)-+
c(40,24,20)c(40,40,20)s(40,16,20)+*
s(16,24,20)c(24,40,20)-c(40,24,12)+
s(24,40,28)c(32,40,20)t(32,40,28)**
s(40,40,28)s(32,48,20)s(16,32,20)--
s(48,40,20)s(24,32,28)t(32,32,20)-+
s(48,16,20)s(32,40,20)t(24,40,28)*+
s(48,48,20)s(40,40,28)*c(16,48,12)+
s(32,32,28)t(48,24,12)-s(24,24,28)*
s(32,32,28)s(48,48,20)c(32,32,28)*-
s(8,16,12)c(32,32,28)c(16,24,12)-+
c(32,24,20)c(24,32,20)c(32,40,20)*+
c(40,24,20)s(32,32,20)*s(8,8,12)+
s(24,16,20)s(32,24,28)*s(40,40,20)+
c(40,48,12)c(24,24,20)+s(32,24,28)*
s(32,40,28)t(48,40,12)-t(24,40,28)*
s(24,32,28)t(32,16,12)-s(40,32,20)-
s(24,24,28)c(24,24,20)c(40,24,20)*-
t(40,24,20)t(32,56,12)c(24,48,12)++
s(32,16,12)s(32,48,20)+t(40,40,20)-
t(24,48,28)c(40,32,20)+s(40,32,12)-
c(24,40,20)t(40,48,12)-t(40,48,12)+
c(24,32,20)t(48,16,12)+s(40,24,28)*
t(32,32,28)t(32,40,28)t(32,24,20)+*
s(32,40,28)t(24,40,20)-c(24,24,12)-
c(24,40,20)s(24,32,28)*t(32,16,12)+
c(40,48,12)t(24,48,28)c(24,32,20)*+
c(32,48,12)s(40,40,20)t(32,32,20)++
s(40,16,12)s(32,24,28)s(40,40,20)*+
s(8,48,12)c(32,40,20)+t(32,48,12)-
s(32,16,20)s(40,8,12)-c(16,40,12)+
s(16,32,20)s(24,40,20)t(32,40,28)*+
t(24,40,28)t(16,40,12)-t(40,16,12)+
t(24,40,28)s(40,40,20)t(24,40,20)--
s(24,48,20)s(32,48,20)*s(24,32,12)+
s(40,32,28)t(32,40,20)-t(48,24,12)-
s(48,32,12)s(48,48,12)t(24,48,12)++
s(48,48,12)s(24,40,28)s(40,24,20)-+
t(24,24,20)s(40,32,28)t(32,32,20)-+
s(16,16,20)c(24,32,20)-c(32,40,20)+
c(32,32,28)c(16,32,12)s(24,40,20)+-
t(24,32,28)c(24,32,20)s(24,24,28)**
s(40,32,28)s(32,40,20)c(24,24,20)*-
s(32,24,28)c(16,24,12)t(24,24,12)+-
c(16,16,12)s(48,8,12)+s(24,40,28)+
s(40,40,28)t(24,32,12)-t(24,48,12)-
s(40,32,28)s(48,16,12)-c(32,40,20)*
c(24,24,20)s(32,48,20)s(32,32,28)*-
s(40,40,20)t(32,32,28)s(32,48,20)*+
c(24,32,20)c(40,32,20)c(40,32,12)--
s(48,48,12)c(32,32,28)s(32,16,20)*+
s(40,32,12)t(24,48,28)+s(16,40,20)+
s(40,24,28)c(24,32,20)s(40,32,20)*-
s(40,32,28)s(40,24,12)-s(40,24,28)*
s(40,40,28)s(24,16,20)-t(24,48,20)-
s(24,16,20)t(16,16,12)-s(8,16,12)+
s(48,40,20)t(40,24,12)-s(32,16,20)+
s(24,40,28)s(24,32,28)c(32,48,12)-*
s(32,32,28)t(24,40,20)t(40,32,12)+-
c(40,40,20)t(24,48,28)c(32,32,28)*+
s(32,8,12)c(40,32,20)s(32,24,28)*+
s(32,40,28)s(32,24,20)t(40,24,20)*-
t(32,32,28)s(24,40,28)s(32,16,12)+*
s(32,32,28)s(16,48,20)s(32,32,20)--
t(32,56,12)s(16,40,20)+s(32,48,12)-
s(16,32,12)s(40,32,20)+c(24,16,12)-
s(24,24,28)c(24,32,12)t(32,24,12)+-
t(40,40,20)s(24,16,20)s(32,16,20)*+
c(16,32,12)c(40,32,20)t(24,32,28)*+
c(24,40,20)s(8,40,12)s(40,32,28)+*
s(48,48,20)c(24,32,20)c(24,24,20)*+
c(40,40,20)s(32,40,28)*s(48,32,12)-
s(48,48,12)s(40,24,20)+s(32,24,12)-
s(32,8,12)s(24,32,20)t(40,40,20)-+
c(48,24,12)c(24,24,20)+c(32,32,20)*
t(24,48,28)t(24,40,12)-s(24,8,12)+
c(32,32,28)s(48,24,12)-c(40,40,20)*
s(32,16,20)t(32,40,20)+t(40,32,12)-
c(40,24,20)s(40,40,28)c(24,40,20)*-
s(24,32,28)c(40,40,20)c(40,32,20)*+
c(48,24,12)c(24,32,20)+c(16,40,12)-
t(32,32,28)c(40,40,20)s(16,24,20)+*
s(32,48,20)s(48,32,20)c(32,32,28)*+
t(40,32,20)s(16,16,20)+s(40,40,28)+
s(32,40,20)s(32,24,28)*c(16,24,12)+
c(32,32,28)t(24,32,12)t(24,24,20)+-
s(24,16,20)c(24,24,20)*c(16,24,12)+
s(32,40,28)s(16,32,12)-t(16,32,12)+
t(32,48,20)s(32,40,28)s(16,48,20)*+
s(40,40,28)s(48,40,20)t(40,24,12)--
s(32,16,20)c(32,32,20)s(48,40,20)-+
s(24,40,20)c(24,24,20)s(40,24,28)-+
s(32,40,28)s(32,24,28)s(16,24,20)*-
s(48,40,12)c(32,48,12)+t(16,32,12)+
s(32,32,28)t(40,40,12)-t(24,16,12)-
s(32,16,20)c(32,40,12)+c(32,32,20)*
s(24,32,28)t(32,48,28)s(48,16,20)+-
c(32,24,20)s(16,24,12)s(32,16,20)++
s(32,32,28)s(16,48,12)-t(24,40,20)+
c(48,24,12)s(24,40,28)+c(32,24,20)-
c(24,40,20)s(24,16,20)s(40,16,20)--
c(24,32,20)s(24,40,28)s(32,40,28)**
c(16,48,12)s(40,24,28)+t(48,32,12)-
t(24,32,28)s(8,24,12)+t(40,40,12)-
s(16,8,12)t(32,40,28)s(16,32,20)-+
c(40,24,20)t(48,32,12)-t(40,32,12)-
s(48,40,20)s(24,16,20)c(24,32,20)*+
s(16,40,20)s(16,16,20)s(16,32,20)*+
c(40,40,20)t(40,56,12)s(48,40,20)+*
c(40,40,20)t(24,24,20)+c(32,24,20)*
s(32,40,28)s(32,40,20)s(40,32,20)--
s(24,40,28)s(32,24,20)t(32,40,28)*-
s(24,24,28)s(48,16,20)+c(40,32,12)-
t(24,24,20)c(32,40,20)s(24,16,20)-+
t(48,56,12)t(48,16,12)s(16,16,20)++
s(24,48,20)s(32,48,12)-s(32,24,28)+
s(24,40,28)s(24,24,28)*s(8,8,12)+
s(48,24,20)s(32,48,20)t(40,48,20)*+
t(32,48,28)c(16,32,12)c(16,40,12)+-
s(48,40,20)s(32,40,28)*c(32,32,20)+
s(24,32,28)s(40,32,20)-c(40,40,20)+
c(24,40,20)s(40,32,20)s(32,40,20)*-
s(40,40,28)t(24,48,28)s(32,24,20)--
s(8,40,12)s(24,24,20)s(32,40,20)-+
s(40,40,28)s(24,40,28)c(32,40,12)--
s(24,32,28)s(40,40,12)-t(32,56,12)+
s(24,24,28)c(32,32,28)*s(32,24,28)*
s(32,40,28)c(24,32,12)s(24,16,12)+-
s(40,40,28)c(40,32,12)-s(24,32,20)-
s(24,32,20)c(32,24,20)*s(40,40,20)+
s(24,32,28)t(40,24,12)c(32,32,12)+-
s(24,32,28)c(40,32,20)s(40,40,28)*-
t(48,32,12)t(48,56,12)s(24,40,20)++
s(24,24,28)s(24,32,28)c(32,32,20)**
s(16,24,12)s(40,32,20)c(40,48,12)-+
s(40,48,20)c(24,24,12)+c(48,32,12)-
s(40,32,28)s(24,48,12)-c(24,24,12)-
c(32,32,20)t(32,48,20)t(40,56,12)--
t(24,40,28)s(40,40,28)t(32,40,28)+*
c(24,40,20)c(32,32,20)s(16,40,20)+*
s(24,32,28)t(40,48,20)c(24,40,12)--
s(24,32,20)s(8,48,12)+t(40,40,20)-
s(32,32,28)s(40,40,28)*t(32,24,12)-
c(48,16,12)t(40,24,20)t(40,48,12)++
c(32,32,28)s(40,48,12)-c(16,48,12)-
s(32,40,28)c(32,24,20)s(48,24,20)*-
c(40,32,20)c(32,32,20)s(24,48,20)+*
t(32,40,28)s(24,24,20)t(24,24,12)-+
s(24,40,28)s(48,32,20)-s(32,40,28)*
s(40,32,28)c(40,32,20)c(24,40,20)*-
s(40,24,28)t(24,24,20)-s(24,24,20)-
c(24,32,20)s(48,40,12)s(8,16,12)+-
s(40,48,12)s(40,24,28)+s(24,24,28)*
s(16,40,20)t(40,48,12)+c(24,24,12)-
s(16,16,20)c(24,32,20)c(40,32,20)*+
s(24,24,20)s(48,40,12)+c(24,24,20)*
s(40,40,28)s(40,24,28)+t(24,32,20)-
c(48,48,12)t(32,32,20)t(32,40,20)++
s(32,40,28)t(32,24,20)t(24,40,20)--
t(32,24,12)c(40,40,20)c(48,48,12)-+
c(32,32,20)s(24,24,20)t(40,24,20)+*
t(24,40,20)c(32,16,12)+s(24,32,20)+
s(32,32,28)s(16,24,12)-t(40,32,20)-
c(40,32,20)s(32,24,20)s(48,24,20)+*
c(32,32,28)t(40,48,20)c(24,48,12)+-
s(32,40,28)t(40,40,20)s(40,16,12)++
c(40,32,20)s(24,8,12)+s(40,48,20)-
t(40,24,12)c(24,40,20)s(8,16,12)++
s(24,40,28)c(24,24,12)-t(32,40,20)-
s(24,40,28)c(40,40,20)t(32,48,28)*-
s(40,40,28)c(40,32,20)*s(32,32,28)*
t(48,32,12)c(32,32,28)s(16,32,20)*+
c(40,24,20)c(24,24,12)-s(48,16,20)+
s(32,32,28)c(32,32,28)t(32,48,28)-*
t(32,48,28)c(32,24,20)-c(48,40,12)+
s(40,32,28)s(32,32,28)*s(40,24,28)*
c(32,32,28)c(40,16,12)-s(24,40,28)*
s(40,24,28)c(24,32,20)s(48,32,12)+*
t(24,32,20)c(32,32,20)s(32,32,12)-+
s(32,40,28)s(16,24,20)c(32,40,20)+*
c(32,32,28)c(48,24,12)-s(16,16,12)-
s(24,40,28)t(32,40,20)c(16,24,12)+*
c(40,32,20)s(32,48,20)s(24,32,28)*-
s(32,32,12)s(24,24,20)s(40,16,12)-+
c(16,32,12)c(32,32,20)c(32,24,20)*+
s(16,24,20)t(32,32,20)s(24,32,20)*+
s(40,40,28)s(40,40,28)s(32,32,28)--
s(24,32,28)s(40,48,12)-t(40,32,12)-
t(24,48,20)c(32,40,20)*c(40,16,12)+
s(32,32,28)t(48,24,12)-s(24,32,12)-
c(16,32,12)t(32,48,28)+t(24,48,12)-
s(40,32,28)t(32,32,12)-c(32,24,12)-
s(32,32,20)c(24,40,20)c(24,24,20)*+
t(32,40,28)s(24,16,20)+s(48,32,20)-
s(32,32,28)s(40,24,28)*s(24,32,20)+
s(24,24,28)t(32,32,28)c(32,32,20)*-
s(32,16,20)s(32,8,12)-s(48,24,20)+
c(32,24,20)s(24,16,20)*s(8,24,12)+
s(16,32,20)s(8,32,12)-s(40,16,20)+
t(16,16,12)c(48,24,12)s(16,40,20)++
s(32,16,20)c(32,24,20)*t(32,32,12)+
s(32,40,28)t(40,32,12)-s(32,32,28)*
c(40,32,20)t(40,32,12)-c(40,32,12)+
s(8,8,12)s(40,40,28)s(24,16,20)-+
c(32,24,20)c(24,40,20)t(32,48,20)*-
s(8,48,12)s(40,32,28)+c(32,32,28)*
c(48,40,12)t(40,24,20)+c(32,40,12)+
c(40,40,20)s(16,48,12)+s(24,32,28)*
s(48,32,20)s(40,32,20)*s(32,16,12)+
c(32,40,20)s(32,32,28)*c(24,32,20)+
t(32,32,28)s(40,32,20)s(32,24,20)-+
t(24,32,28)s(32,24,28)t(48,56,12)+*
s(24,40,28)s(32,48,12)-t(16,56,12)-
s(48,32,12)c(24,24,20)s(40,32,28)*+
s(32,48,20)s(16,32,20)-t(32,32,28)+
c(32,32,20)t(32,56,12)+c(24,40,20)*
t(32,40,12)s(8,32,12)+s(16,48,20)+
s(32,24,28)s(16,16,20)s(24,16,20)*-
c(32,40,20)s(40,24,20)c(32,40,20)*-
t(24,32,28)c(40,40,20)+s(24,24,28)*
s(40,24,20)s(24,32,28)s(24,16,12)-+
c(40,24,20)t(40,48,20)-s(32,24,28)*
s(24,32,28)c(32,32,28)s(16,32,12)-*
c(24,24,20)s(40,40,28)s(48,48,12)-+
s(16,32,20)c(32,32,20)s(32,24,20)*+
s(24,24,12)t(32,40,28)+s(32,40,28)*
c(32,40,20)c(16,32,12)+t(24,40,12)-
s(40,40,28)t(32,48,20)s(32,40,20)*-
c(32,32,20)s(16,16,20)c(32,32,28)*-
c(32,24,20)s(40,24,28)s(24,32,12)-*
t(16,40,12)t(32,40,28)+c(32,48,12)-
c(40,32,20)s(48,48,20)s(40,40,20)*-
s(32,32,28)s(48,32,20)t(48,16,12)--
s(32,32,28)c(32,24,12)-s(16,16,20)-
c(40,24,20)s(40,40,28)c(24,24,20)--
s(40,32,28)c(40,40,20)s(48,48,20)*-
c(32,40,20)t(32,24,12)-c(24,24,12)-
t(32,40,20)s(16,32,20)c(40,24,20)-+
s(24,40,20)s(32,40,20)*t(32,32,20)+
c(24,40,20)s(32,16,20)t(40,32,20)--
s(32,40,20)t(24,40,28)*t(32,24,20)+
s(40,48,20)s(16,32,20)s(24,48,12)-+
s(32,32,28)c(24,32,20)c(24,24,20)**
c(32,40,20)c(32,24,20)c(40,32,20)+*
c(40,40,20)s(32,40,28)*c(24,48,12)+
s(24,40,28)s(32,16,20)s(16,24,12)--
s(32,40,28)t(24,48,12)-c(40,48,12)-
s(32,40,28)c(40,24,12)-t(24,40,28)*
s(48,40,12)s(40,16,20)+c(32,32,28)*
c(40,32,12)t(32,32,28)s(24,48,20)-+
s(16,32,20)c(24,48,12)-s(40,32,12)+
s(24,32,28)c(32,32,28)c(48,24,12)-*
c(32,32,28)s(48,32,20)*c(24,32,12)+
c(32,32,28)c(40,48,12)-s(40,24,12)-
s(24,24,28)c(40,16,12)-t(24,40,20)-
c(24,24,20)c(40,24,20)t(32,32,20)*-
s(48,40,20)c(32,32,28)*s(24,48,20)+
s(24,40,28)c(24,32,20)s(32,16,20)*-
s(32,40,28)c(32,32,20)*s(16,24,12)-
s(32,32,28)s(40,40,28)*c(48,48,12)-
c(32,48,12)s(48,40,20)t(32,32,20)-+
c(32,40,20)c(32,32,28)c(16,40,12)-*
s(32,32,28)s(32,32,12)-s(16,16,12)-
s(40,24,12)s(32,24,28)t(40,24,20)-+
t(24,40,28)t(24,16,12)+s(16,16,12)-
c(48,32,12)s(16,48,12)+s(40,40,20)+
s(40,32,28)s(24,32,28)t(24,40,28)--
s(16,24,20)t(32,48,20)+t(32,40,20)+
c(40,40,20)t(48,16,12)+s(24,40,12)-
s(24,32,28)c(24,24,20)s(24,32,20)*-
t(24,40,20)s(24,24,28)+c(32,32,20)*
c(32,24,20)s(32,8,12)-s(16,16,12)+
t(32,48,28)c(40,24,20)s(24,40,28)*-
s(40,48,20)s(48,40,20)+s(40,48,12)-
t(32,48,28)s(16,48,20)+s(40,40,28)*
s(32,24,28)c(40,24,20)+s(32,16,20)-
s(32,40,28)s(40,40,28)t(32,32,28)--
s(32,32,28)s(32,48,20)-s(16,40,12)-
t(32,48,20)t(24,32,28)t(32,48,20)-+
c(32,32,28)s(40,24,28)*c(40,32,20)*
c(16,40,12)s(24,16,20)+s(24,32,12)-
s(40,24,28)s(40,32,28)*s(24,16,20)-
t(40,16,12)s(24,16,20)+c(32,32,28)*
s(24,32,20)s(40,24,28)*s(48,48,20)+
s(40,24,28)s(24,48,20)-c(24,32,12)-
s(40,24,20)t(40,40,20)-t(24,40,20)+
c(40,32,20)s(40,24,28)*c(24,16,12)-
s(16,40,20)c(24,32,20)t(32,32,28)-+
t(32,40,28)s(32,16,20)s(40,32,28)*+
t(32,24,20)s(16,16,20)t(24,56,12)++
s(16,8,12)s(32,16,12)+t(32,32,20)+
c(32,24,20)s(32,16,20)*s(40,32,28)+
s(32,24,28)s(16,32,20)t(32,32,12)++
s(32,24,20)t(40,32,12)t(32,56,12)++
c(32,16,12)t(32,48,28)+c(24,40,12)-
s(32,32,28)t(24,48,28)t(24,40,28)*-
s(24,24,28)c(40,16,12)-s(24,24,12)-
t(24,40,12)t(32,32,20)t(40,48,12)++
t(24,40,28)t(24,48,28)*s(48,40,12)+
s(40,24,28)s(32,24,28)c(32,32,20)**
s(32,32,20)c(24,32,20)*t(24,48,12)+
s(32,40,28)s(32,24,20)s(24,24,20)*-
t(32,40,20)t(40,48,20)c(48,32,12)-+
c(32,32,28)s(40,40,12)-c(24,32,20)*
s(48,8,12)t(40,24,12)+c(32,40,20)+
s(24,40,28)s(24,48,12)-s(24,40,12)-
t(32,32,28)c(40,40,20)*c(16,16,12)+
s(32,24,28)s(40,40,28)s(24,32,20)*-
t(24,48,28)t(16,40,12)s(48,48,12)+-
t(32,48,28)s(16,32,20)t(32,48,12)++
t(40,56,12)c(16,16,12)+s(32,24,20)+
s(32,40,28)s(40,40,28)*c(40,16,12)-
c(32,40,20)s(24,24,12)-t(40,24,20)+
s(40,40,28)s(48,48,12)-c(40,40,12)-
t(24,48,28)c(32,40,12)-c(16,32,12)+
t(24,40,28)t(24,48,28)s(40,24,28)+*
c(24,32,20)s(32,16,20)s(40,32,28)*+
s(40,32,28)s(32,40,20)s(24,24,20)+*
s(40,16,12)t(48,32,12)+s(48,40,20)+
t(24,32,20)s(40,40,28)s(48,24,20)++
c(40,16,12)s(32,40,28)t(32,48,20)-+
s(24,48,20)t(32,56,12)-s(24,16,20)+
s(48,48,20)c(32,24,20)-c(24,40,20)+
s(40,32,28)c(48,16,12)-t(32,40,12)-
s(16,48,20)c(24,40,20)s(40,24,20)-+
s(24,16,20)t(32,40,28)+s(24,48,20)+
c(32,32,28)s(16,16,20)t(16,24,12)--
c(40,24,20)s(24,40,20)s(32,32,28)+*
c(24,32,20)t(48,32,12)+s(32,32,28)*
t(24,56,12)c(24,40,20)s(40,40,28)*+
s(24,24,28)t(32,32,20)s(24,40,28)*-
s(8,16,12)s(32,32,28)t(48,40,12)-+
c(32,32,20)t(32,16,12)-s(32,16,20)+
c(24,24,20)s(32,32,20)+c(24,48,12)-
s(24,24,28)c(40,16,12)-c(16,24,12)-
c(32,32,28)c(40,48,12)-c(24,40,20)*
c(32,32,28)s(40,24,20)c(40,32,20)*-
c(32,40,20)t(32,48,28)+c(32,48,12)-
c(16,48,12)s(32,16,20)c(40,32,12)-+
s(32,24,28)c(48,40,12)s(24,24,28)+*
s(16,40,20)c(32,24,20)+c(32,32,20)*
s(24,32,28)t(32,32,28)s(24,32,20)*-
s(48,16,12)c(24,40,20)c(24,32,20)*+
c(16,48,12)t(16,56,12)s(32,32,20)++
s(24,32,28)t(48,56,12)s(32,32,28)+*
c(48,40,12)s(48,24,20)c(40,32,20)*+
s(40,40,28)c(24,40,20)-c(40,48,12)+
s(24,32,28)s(40,24,28)s(32,40,28)+*
s(48,40,20)s(40,40,20)c(40,24,20)*+
s(24,40,28)s(16,16,20)+t(40,32,20)-
c(32,32,28)c(32,48,12)-s(48,48,20)-
c(40,32,20)s(40,24,28)+s(40,24,12)-
t(32,48,28)c(32,32,28)c(16,16,12)-*
t(40,40,12)t(40,24,12)+c(24,24,20)+
s(40,40,28)c(32,48,12)-c(24,40,12)-
s(32,32,28)s(32,40,28)s(32,8,12)+*
s(40,48,20)t(32,48,28)*t(32,16,12)+
c(40,40,20)c(24,40,12)t(24,32,20)+-
s(32,24,28)t(32,16,12)-c(16,32,12)-
t(24,48,28)t(32,16,12)+c(32,32,12)-
s(24,40,20)s(32,24,20)s(40,40,12)++
c(32,32,20)s(40,40,28)t(32,24,20)+*
s(32,24,20)t(40,40,20)-s(48,48,12)+
c(32,24,20)s(24,16,20)s(40,32,20)+*
s(32,32,28)t(16,32,12)-c(32,32,12)-
c(32,32,28)t(24,24,20)-c(32,32,12)-
s(40,32,28)t(16,24,12)+s(24,32,12)-
c(32,40,20)s(24,32,20)*c(24,16,12)+
s(40,40,20)s(40,48,20)*s(40,24,12)+
s(24,24,12)c(40,40,20)+s(24,32,20)-
s(24,24,28)s(24,32,28)*t(40,48,12)+
c(48,32,12)t(32,40,20)+s(16,24,12)+
c(16,16,12)c(16,40,12)t(48,32,12)++
c(40,40,20)s(32,24,20)s(16,16,12)--
c(16,48,12)s(40,32,20)s(40,24,20)*+
c(48,48,12)c(24,40,20)s(40,48,12)-+
c(24,24,20)s(32,32,28)s(48,24,20)*+
t(16,56,12)c(32,24,20)s(48,48,20)-+
c(32,32,20)s(48,16,20)c(32,24,20)*-
s(32,24,20)t(24,32,20)+s(40,24,28)*
c(32,40,20)c(16,24,12)c(40,40,20)+*
s(16,48,20)t(16,56,12)-s(16,32,12)+
s(24,24,28)t(24,40,28)-c(40,40,20)-
s(32,40,28)t(24,24,20)-s(16,40,20)-
c(32,40,20)t(48,56,12)+t(32,48,28)*
s(40,24,28)c(16,32,12)+t(32,40,28)-
c(32,40,20)s(32,8,12)+c(40,32,20)*
s(16,48,20)s(32,24,28)+s(24,16,20)-
c(32,24,20)s(32,24,20)c(48,32,12)+*
t(32,48,28)s(48,40,20)t(32,16,12)++
t(24,32,28)c(32,32,20)+t(32,48,20)-
s(24,32,28)t(24,40,28)s(32,16,20)+*
t(40,40,12)t(32,32,28)s(24,32,20)*+
t(24,32,28)t(40,32,20)-s(48,24,20)+
s(48,32,20)c(32,24,20)*c(24,16,12)+
s(32,40,28)s(48,48,20)+c(48,24,12)-
s(32,32,28)s(32,40,28)t(32,24,20)*-
s(8,8,12)c(24,48,12)t(40,32,12)++
c(32,32,28)s(48,16,12)-t(24,48,28)-
c(24,24,20)s(24,40,20)s(32,16,20)+*
s(40,24,28)s(32,40,28)+s(48,24,20)-
s(40,24,28)t(32,40,28)t(40,24,20)+*
c(32,32,28)s(24,32,28)-s(48,32,20)+
s(32,32,28)s(24,32,12)t(32,40,20)+-
t(40,48,12)t(16,32,12)c(16,16,12)++
s(32,32,20)c(40,40,20)*s(24,24,20)+
c(24,32,20)s(32,32,28)*t(48,32,12)+
c(40,40,20)s(48,24,20)c(32,24,20)*+
t(32,40,28)s(40,16,12)+c(24,40,20)*
s(16,32,20)s(24,40,28)s(40,40,20)-+
c(40,32,20)c(24,40,20)s(40,32,20)--
s(32,24,20)s(16,40,20)t(16,40,12)-+
t(24,32,20)s(40,40,20)s(40,32,20)*+
s(24,32,20)c(32,32,20)t(40,40,20)*+
s(40,40,28)s(40,32,12)-s(24,32,20)+
s(32,32,28)s(48,48,20)c(40,24,20)--
s(32,8,12)s(24,24,20)c(24,40,12)++
t(32,40,20)t(48,40,12)+c(40,24,20)+
s(40,24,28)t(24,32,20)t(32,48,20)-+
c(40,24,20)s(48,32,20)*t(32,32,20)+
s(24,48,20)s(8,32,12)+s(40,40,12)-
s(24,32,28)s(40,40,28)*t(24,40,20)+
c(32,32,28)s(24,40,28)s(16,16,12)+*
s(24,24,28)t(32,40,28)s(16,32,20)--
t(24,40,20)s(24,48,20)*s(32,24,28)+
s(32,48,12)s(48,40,20)+c(24,48,12)-
s(32,32,20)s(40,16,20)s(16,32,12)++
s(40,24,28)s(16,32,20)-t(40,24,12)-
s(24,40,28)c(32,40,20)s(40,24,28)*-
s(40,24,28)c(40,40,20)s(32,32,28)*-
s(40,32,28)s(32,24,20)*t(32,32,20)+
c(32,40,12)s(24,32,20)t(24,48,20)-+
s(24,24,28)s(32,40,28)s(40,40,20)-+
t(48,16,12)c(32,32,28)s(48,40,20)*+
c(32,40,20)t(32,56,12)c(24,32,20)+*
s(32,32,28)t(24,24,12)-t(48,32,12)-
s(40,32,28)c(32,24,20)t(24,32,28)*-
c(40,24,20)s(40,48,20)s(48,32,12)-+
s(32,16,20)t(32,24,20)+t(40,40,12)+
t(24,32,12)s(24,16,12)+s(40,24,20)+
c(24,40,20)s(24,32,20)*s(32,40,20)+
s(40,32,28)s(40,40,28)*c(48,16,12)-
t(40,48,20)c(48,48,12)+s(16,48,12)+
c(32,32,28)t(32,32,28)s(32,24,28)*-
s(32,40,28)s(48,40,20)c(32,24,20)--
s(24,32,28)s(32,40,28)t(40,48,12)-*
s(24,32,28)t(40,40,20)t(40,48,12)--
s(32,40,12)c(24,24,20)t(24,48,28)-+
c(32,24,20)t(32,16,12)-s(32,32,28)*
s(32,24,28)c(32,32,20)s(40,40,20)*-
s(24,24,20)s(32,40,28)*t(40,24,20)+
t(40,48,20)t(40,32,20)t(48,40,12)-+
t(40,48,12)s(48,16,20)+s(40,16,12)-
c(24,24,20)t(16,32,12)-s(32,24,28)*
s(16,40,12)s(48,24,20)+s(32,16,12)-
c(32,40,20)t(24,32,28)*c(24,24,12)+
c(24,32,20)c(40,24,12)-s(32,32,20)+
s(32,24,28)c(40,40,20)-c(16,40,12)-
t(32,32,28)c(40,40,12)-t(48,16,12)+
s(32,24,28)t(32,48,20)+t(24,16,12)-
c(24,24,20)s(40,16,20)c(32,32,28)*-
s(32,32,28)s(48,24,20)t(32,32,12)--
c(24,24,20)s(24,48,12)+s(24,32,28)*
c(32,24,12)c(16,24,12)s(24,16,12)++
s(40,24,28)c(40,16,12)s(48,32,20)++
s(16,48,20)s(40,32,20)+t(16,56,12)-
s(40,24,28)c(40,40,20)s(32,24,28)+*
s(24,32,20)s(48,48,20)t(32,48,28)*+
s(40,40,12)s(16,48,20)+c(40,32,12)-
t(24,48,20)s(32,32,20)+t(24,32,12)-
c(32,40,20)t(40,32,20)s(40,24,20)*-
s(32,32,28)s(48,24,20)t(24,32,28)--
t(32,56,12)s(40,24,28)s(40,24,12)-+
s(32,40,28)s(32,48,20)-t(24,32,20)+
c(40,24,20)t(40,40,20)-c(32,24,20)+
s(32,32,28)s(40,32,28)s(24,24,20)--
s(24,40,28)s(24,24,20)+c(32,16,12)-
t(32,24,20)s(40,32,28)*c(40,48,12)+
s(24,32,28)c(40,32,20)s(16,24,20)--
s(24,24,20)s(16,32,20)*c(40,16,12)+
c(32,32,20)t(24,40,20)*s(32,16,20)+
c(24,32,12)t(48,40,12)+s(48,24,20)+
s(24,32,20)s(32,40,28)t(40,24,12)-+
c(32,24,20)c(24,40,20)s(16,40,20)*-
c(24,24,20)s(16,32,20)s(16,40,20)*-
t(24,32,28)s(48,48,20)c(24,24,20)+*
c(24,32,12)t(40,40,12)s(40,48,12)++
s(40,40,28)c(16,16,12)s(32,40,28)+*
c(40,48,12)c(32,24,20)+s(24,48,20)-
c(40,32,20)c(32,32,20)c(16,24,12)-*
s(32,24,28)t(24,48,28)+c(48,24,12)-
s(32,16,20)s(40,24,28)+t(32,32,20)-
c(32,32,20)t(16,48,12)c(32,24,20)++
t(24,48,20)s(48,48,20)s(40,40,20)*+
s(32,16,20)t(48,56,12)+t(24,32,20)-
s(40,40,28)s(16,40,20)s(32,40,20)*-
c(24,24,20)s(16,40,20)t(24,40,20)*-
c(24,40,20)s(24,32,28)t(40,32,12)-*
s(32,40,28)c(24,24,20)*t(48,32,12)+
t(24,48,28)s(40,40,28)t(32,32,20)-+
t(24,32,28)t(40,24,20)+t(32,40,20)-
c(16,16,12)s(48,48,12)+s(48,24,12)+
s(24,40,20)c(48,16,12)+s(40,40,12)-
t(32,40,28)c(16,16,12)+c(24,32,20)*
s(40,32,28)s(32,32,28)c(32,32,12)-*
s(48,16,20)s(40,40,28)+c(32,32,20)*
c(24,32,20)s(48,40,20)c(40,32,20)*+
s(48,16,12)t(32,32,20)t(24,48,12)++
s(24,16,20)s(16,40,20)c(32,32,28)*+
c(32,32,28)c(16,24,12)-s(24,40,20)-
s(40,40,28)c(24,32,20)t(24,16,12)--
c(32,32,28)s(24,24,28)*s(32,24,28)*
c(24,40,20)s(24,32,28)s(16,16,12)-*
c(24,32,20)c(32,40,20)c(32,24,20)+*
s(40,40,20)s(48,40,20)*t(24,24,12)+
c(24,24,20)s(32,24,20)s(24,40,28)+*
c(32,32,20)s(40,40,28)c(32,40,20)**
c(40,40,20)s(48,48,12)s(40,8,12)+-
s(40,32,20)c(48,32,12)-t(32,24,20)+
c(32,32,28)t(24,48,28)*s(40,24,20)+
s(24,32,20)c(24,24,20)c(24,32,20)*+
s(32,32,28)c(40,32,12)-s(48,16,12)+
c(24,40,20)c(32,40,20)*s(40,48,12)+
t(24,48,28)t(32,40,28)*t(24,32,20)+
t(32,24,20)s(48,24,12)s(24,48,20)++
c(24,32,20)s(32,24,28)c(48,16,12)-*
s(24,40,28)c(16,16,12)t(32,48,28)+*
t(16,40,12)s(32,16,20)+c(32,32,28)*
s(40,48,12)c(32,32,20)s(32,16,12)-+
c(32,32,20)s(24,40,20)s(32,48,20)*-
s(32,40,28)s(24,24,20)c(16,16,12)--
s(32,32,20)s(40,24,28)*t(24,48,20)+
s(40,40,28)s(48,24,20)*t(32,32,28)+
s(32,40,28)t(32,48,28)s(32,24,28)-+
c(40,24,20)s(24,16,20)+s(32,40,28)+
c(32,32,28)c(32,32,20)s(40,24,28)*-
s(48,40,20)t(24,40,28)s(32,24,20)-+
s(40,40,28)c(24,40,20)c(24,24,20)+*
s(24,24,28)s(48,40,12)s(16,24,20)+*
s(16,16,12)s(40,40,28)c(32,32,20)*+
t(48,56,12)c(24,32,20)c(40,16,12)-+
c(40,40,20)s(32,48,20)t(40,48,20)*-
s(24,40,12)c(48,48,12)s(40,24,20)++
c(40,40,20)s(32,48,20)c(40,48,12)-+
s(40,40,28)s(32,32,28)t(40,16,12)-*
t(24,56,12)s(32,32,28)t(32,40,28)*+
s(40,24,12)c(24,40,20)+t(32,32,28)*
s(40,48,12)t(24,48,12)+s(24,40,20)+
s(24,16,20)s(40,24,28)*c(16,24,12)+
t(16,48,12)s(48,16,20)+s(40,24,28)+
t(48,40,12)s(40,8,12)+s(8,48,12)+
t(32,40,28)s(32,24,28)s(24,24,28)*+
s(24,16,20)c(32,32,28)s(48,40,20)*+
s(32,24,28)s(16,16,12)-s(16,32,20)-
t(32,32,28)s(48,24,20)s(40,40,28)+*
t(16,40,12)s(32,40,20)c(40,32,20)*+
s(24,32,28)s(24,48,20)s(40,48,20)*-
c(32,40,20)t(24,40,28)s(32,24,12)+*
s(40,24,12)s(24,32,20)c(40,32,12)-+
s(24,32,28)s(24,16,20)s(40,32,28)--
s(32,48,20)t(32,24,20)+s(48,48,12)-
c(32,32,20)s(8,48,12)s(48,32,12)+-
s(40,24,28)s(48,32,20)*s(32,24,28)+
c(40,40,12)s(24,40,12)t(32,32,20)++
s(40,24,28)s(16,16,20)-c(40,32,20)*
c(40,40,20)c(24,40,20)t(32,32,20)*-
s(40,48,12)t(24,24,20)+t(40,32,20)+
t(32,24,20)c(32,24,20)c(24,32,20)*+
t(16,24,12)t(40,48,20)t(48,40,12)++
s(16,40,20)s(24,40,28)t(24,48,12)-+
s(24,32,28)c(32,32,20)c(40,40,20)*-
t(24,56,12)s(16,24,20)s(32,16,12)++
c(32,40,20)t(40,48,20)c(24,40,20)+*
s(40,24,28)s(32,16,12)s(32,32,20)+*
s(32,48,20)c(40,40,20)*s(8,32,12)+
s(32,40,20)s(24,40,20)*c(24,24,12)+
s(32,32,28)s(24,16,12)-c(40,48,12)-
c(32,32,28)s(32,24,12)-c(24,40,20)*
s(32,32,28)c(40,24,12)s(16,8,12)+-
c(48,32,12)s(40,48,20)s(40,32,28)*+
s(24,24,28)t(16,32,12)-s(16,48,20)-
s(48,48,12)s(24,40,28)t(24,40,20)-+
s(32,32,28)c(32,40,12)-c(24,48,12)-
t(32,40,28)c(32,32,20)s(32,24,20)*+
c(32,24,20)s(48,16,20)s(24,32,20)+*
s(32,32,20)c(32,40,20)+s(40,32,28)*
c(32,24,20)c(32,32,20)t(24,48,28)*-
c(32,40,20)t(24,48,28)*t(24,24,12)+
s(24,24,28)c(40,32,20)s(48,40,20)*-
t(32,40,28)s(24,24,28)-t(24,32,28)+
t(24,40,20)s(40,32,20)c(32,32,20)*+
c(32,32,28)s(32,24,12)-c(40,32,20)*
s(32,24,28)s(24,40,12)-s(32,32,28)*
c(24,40,20)s(32,24,20)s(40,32,12)--
c(24,40,20)t(32,48,20)s(16,48,20)+*
s(24,40,28)t(32,48,28)*t(16,40,12)+
s(40,40,20)c(24,40,20)t(40,32,12)-+
s(16,24,20)c(24,16,12)-s(16,48,20)+
s(32,48,12)s(48,40,20)t(48,40,12)-+
s(40,40,28)s(32,32,20)s(16,32,20)+-
s(40,40,28)s(48,40,12)-t(24,40,20)-
s(48,48,20)c(40,40,20)*s(48,32,12)+
s(40,40,28)s(48,32,20)t(32,40,12)-+
s(24,24,12)s(32,24,28)c(32,40,20)*+
c(32,24,20)s(48,48,20)s(40,24,28)+*
t(24,40,20)s(40,24,20)c(24,32,20)*+
t(24,40,28)c(40,48,12)-c(24,48,12)+
s(32,32,28)s(40,24,28)s(40,32,28)**
t(16,56,12)s(40,32,28)s(24,40,12)-+
s(40,24,28)c(40,32,20)*s(32,32,28)*
s(40,24,28)s(48,24,12)-s(48,48,20)-
s(32,24,28)s(32,40,28)t(24,32,28)*-
s(48,32,20)s(16,16,12)+s(40,48,20)-
s(8,8,12)t(24,48,28)t(32,56,12)-+
t(32,24,20)t(24,40,28)t(32,40,28)*+
s(24,32,20)t(40,32,12)+t(32,32,28)*
c(32,24,20)c(16,40,12)-t(24,40,20)-
s(32,32,28)s(48,32,20)c(40,40,12)-+
s(40,40,28)s(40,32,28)c(40,24,12)-*
c(32,24,20)s(24,40,20)s(32,32,20)*-
c(32,32,28)s(32,32,20)-t(24,24,20)-
c(32,32,28)c(16,16,12)t(32,48,20)+*
c(24,40,20)s(24,40,28)s(24,32,28)**
t(24,32,20)c(32,24,20)s(24,32,28)*+
c(48,16,12)c(24,48,12)+c(24,32,20)+
s(24,24,20)s(48,32,12)c(24,24,12)++
s(32,24,28)s(24,48,12)+s(32,24,12)-
s(24,40,28)t(32,48,20)s(48,32,12)+-
s(24,40,28)s(24,24,28)c(32,32,20)+*
s(24,40,28)s(48,40,20)-t(32,48,20)-
s(32,24,28)s(40,24,28)c(32,32,28)**
s(40,32,28)t(16,16,12)t(32,16,12)+-
c(32,32,20)s(48,16,12)s(32,32,12)+-
c(40,32,20)s(40,16,20)+c(32,24,20)*
s(24,32,20)s(40,8,12)+c(40,32,12)-
s(32,24,28)s(40,24,28)c(24,24,20)--
s(24,16,20)c(32,32,20)s(24,16,20)-+
t(32,32,28)s(32,24,20)s(16,24,20)*+
s(40,40,28)c(40,48,12)s(24,8,12)+-
t(24,32,28)c(48,32,12)+s(32,24,28)*
s(40,24,28)c(40,40,12)-t(40,24,12)-
c(32,32,28)c(32,40,20)-s(24,24,12)-
s(24,8,12)c(24,32,20)+t(40,48,20)-
s(40,40,20)c(24,32,20)+t(32,48,28)+
c(32,48,12)t(24,48,20)s(16,24,12)++
s(32,24,28)s(40,40,28)s(32,32,12)--
t(40,56,12)s(16,16,20)s(24,16,20)*+
s(32,24,12)s(40,16,12)+s(32,48,20)+
s(32,24,12)t(24,56,12)t(40,32,20)++
c(40,24,20)t(32,24,12)-s(24,40,20)-
s(40,40,28)c(40,32,20)*s(16,32,20)+
c(24,32,20)c(40,24,20)t(32,16,12)--
c(32,40,20)c(48,24,12)-t(16,16,12)+
s(32,40,20)c(40,40,20)+s(32,24,12)-
s(16,48,20)c(24,40,12)-s(32,8,12)+
c(32,32,28)c(40,32,20)s(24,16,20)+*
t(24,48,20)c(40,32,20)+s(40,24,28)*
c(40,24,20)s(40,32,28)c(24,16,12)-*
t(16,16,12)s(32,40,28)t(24,48,28)*+
s(32,32,28)s(40,32,20)s(48,40,20)*-
c(16,48,12)c(48,40,12)c(32,40,20)++
c(40,24,20)t(32,40,28)c(40,40,20)*+
c(40,24,12)c(32,24,20)s(24,32,28)*+
s(48,24,20)s(32,32,20)s(24,40,20)*+
t(24,48,28)t(32,40,28)s(24,24,28)*+
t(40,48,12)t(24,32,28)s(24,24,20)*+
c(32,32,28)s(40,16,20)-t(32,40,28)+
s(24,40,28)t(24,32,28)t(32,32,20)*-
c(32,24,20)s(24,24,28)*s(16,48,20)-
s(24,40,28)t(32,32,28)*s(48,40,20)+
t(24,48,28)s(32,40,28)s(40,16,12)+*
s(16,16,20)s(16,40,20)c(32,32,20)*+
t(24,48,28)s(16,16,12)t(40,32,20)+-
s(48,40,12)s(24,40,20)+c(40,40,12)-
s(16,48,20)s(24,24,12)+s(24,16,12)+
s(40,32,28)t(24,40,28)c(40,24,20)+*
s(40,32,28)c(24,40,20)*s(40,8,12)+
c(40,24,20)t(24,24,20)-t(32,40,28)+
c(32,32,20)s(32,24,28)*t(40,16,12)-
s(8,16,12)s(40,32,20)+s(40,32,28)*
c(24,32,20)s(8,40,12)-s(24,40,28)*
s(40,48,12)c(32,40,20)t(32,32,28)*+
s(16,32,20)s(40,32,28)+s(40,16,12)-
c(32,40,20)s(32,40,28)s(48,24,20)-*
s(40,40,28)c(40,24,20)s(40,32,28)*+
t(16,40,12)t(32,24,20)+c(40,48,12)+
s(8,40,12)t(24,40,28)+s(16,24,12)-
s(24,40,28)s(16,40,20)s(32,40,20)--
s(32,32,28)s(32,40,12)-s(48,24,20)-
t(40,16,12)s(24,16,20)+c(40,40,20)-
c(48,16,12)s(40,32,20)c(32,24,20)*+
s(16,8,12)s(40,24,28)t(32,32,28)*+
s(24,48,20)t(24,40,28)*s(40,8,12)+
s(32,24,20)t(16,56,12)t(48,24,12)++
s(24,48,20)t(32,40,28)t(24,48,12)-+
c(32,32,28)t(24,40,28)c(16,32,12)--
s(16,24,20)s(32,40,20)s(32,24,20)-+
s(16,16,20)s(24,16,20)*s(40,8,12)+
c(32,32,28)c(16,40,12)-c(24,24,20)*
s(40,16,20)s(32,32,12)+s(24,40,20)-
c(32,40,20)c(40,32,20)*t(24,48,20)+
s(48,16,20)t(32,40,28)+s(48,48,20)-
s(24,48,20)s(16,24,20)t(32,24,20)-+
t(16,32,12)s(16,16,20)c(16,32,12)-+
s(32,32,28)s(40,24,20)s(48,24,20)+-
s(32,40,28)s(24,16,20)-s(40,48,20)+
t(32,48,28)t(24,32,28)t(32,32,20)--
s(32,32,28)t(40,48,20)c(32,24,20)+*
s(24,24,28)c(40,40,20)c(40,32,20)*-
t(32,32,28)c(40,24,12)t(24,32,28)+*
c(40,32,20)c(16,48,12)s(40,40,28)+*
t(48,16,12)t(32,32,28)t(24,40,20)++
s(32,40,28)c(32,32,28)c(40,32,12)-*
s(24,40,28)t(48,16,12)+c(24,24,12)-
c(32,40,20)s(40,40,28)s(32,24,12)-*
s(40,32,20)s(48,48,12)+s(32,48,20)+
t(40,24,20)t(24,32,28)s(24,32,12)-+
s(24,40,28)s(24,32,28)*t(32,24,20)-
c(40,40,20)t(48,56,12)-c(32,24,12)-
t(32,24,20)s(40,40,28)+c(24,24,12)-
s(16,48,20)s(48,48,20)+t(16,40,12)-
s(40,24,20)s(32,40,28)*t(24,40,28)+
s(24,48,20)t(24,32,20)t(32,32,28)*+
s(24,40,28)s(40,32,28)t(24,40,20)+*
c(24,48,12)s(48,16,20)s(32,16,20)*+
s(32,32,28)s(40,8,12)+t(24,40,28)*
s(40,48,12)c(24,24,20)s(16,32,12)-+
s(24,48,20)s(24,40,20)c(32,24,12)-+
c(40,40,20)s(24,8,12)+t(32,40,28)*
s(16,24,20)s(32,32,20)+t(40,48,20)-
c(40,40,20)s(24,40,28)*t(24,24,20)+
s(32,32,28)c(40,40,20)c(24,24,20)+*
c(24,40,20)t(24,40,28)t(48,48,12)+*
s(48,24,20)t(32,48,20)t(24,40,12)-+
s(40,32,12)c(16,32,12)+t(32,32,28)+
t(32,40,28)s(16,40,20)c(48,32,12)++
s(32,24,28)t(32,40,28)s(24,16,20)--
s(40,16,12)s(48,48,20)s(40,40,28)*+
t(40,48,12)t(32,40,12)+s(32,16,20)+
s(32,32,20)c(32,32,20)c(32,48,12)-+
s(32,32,28)c(40,40,20)+t(24,32,20)-
s(16,32,20)s(24,40,12)s(8,24,12)++
c(24,32,20)s(16,32,20)c(40,48,12)+*
c(32,48,12)s(24,24,28)+s(40,40,12)-
c(32,24,20)s(48,8,12)t(32,48,20)+-
s(40,24,28)s(48,40,20)t(48,24,12)--
t(32,32,28)s(24,24,20)s(16,16,20)*-
t(48,32,12)t(40,40,20)s(16,40,12)++
s(48,32,20)s(32,32,20)*t(24,24,20)+
c(32,32,28)c(32,32,12)s(32,16,20)+*
s(24,24,28)c(32,32,28)*s(24,40,28)*
c(40,24,20)s(32,16,20)s(48,16,12)-+
s(24,16,20)s(16,32,12)+s(32,24,28)*
s(40,32,28)s(48,40,12)-s(24,48,20)-
s(32,16,12)t(24,32,28)s(32,24,28)*+
s(48,32,20)s(40,48,20)+t(32,32,28)-
s(40,48,20)s(24,32,28)s(40,24,20)*+
t(32,56,12)s(48,32,20)s(48,16,12)-+
s(40,16,20)c(24,32,20)+t(32,32,28)*
s(16,48,20)s(32,32,28)-s(32,32,12)+
c(24,32,20)c(40,40,12)-c(40,32,12)-
c(40,32,20)s(40,40,28)t(32,24,12)-*
c(24,40,20)s(40,40,28)c(40,24,20)*-
c(16,32,12)t(32,48,28)+t(32,40,20)-
s(48,48,20)t(40,32,12)s(24,24,12)++
s(40,32,20)s(24,32,28)*s(8,24,12)+
t(24,24,20)t(24,32,28)s(16,32,20)*+
s(32,32,28)t(32,40,28)*t(48,40,12)-
s(48,32,20)t(32,40,28)c(24,24,20)*+
s(48,16,20)t(40,40,12)+c(40,40,12)-
s(32,24,28)c(48,40,12)-s(40,8,12)-
c(32,40,20)s(40,16,12)+t(40,48,12)-
s(40,32,28)t(32,40,28)c(32,32,20)+*
t(24,48,28)c(32,32,28)s(48,48,20)+*
s(40,40,28)s(40,32,20)t(24,32,28)--
s(40,40,28)c(32,24,20)c(24,32,20)*-
c(32,40,20)s(40,16,20)+s(24,24,28)+
t(32,48,28)s(32,24,20)s(40,32,28)*-
s(24,24,28)s(32,24,12)-s(24,32,28)*
s(40,24,28)s(32,40,20)+s(32,40,28)*
c(48,32,12)c(32,24,20)s(32,32,20)*+
s(40,24,28)s(32,32,28)c(32,40,20)*-
s(16,32,20)t(24,16,12)-c(48,16,12)+
c(48,40,12)t(32,48,20)+s(32,40,20)+
s(48,32,20)s(48,40,20)+s(32,16,20)-
s(32,24,28)s(40,40,20)c(24,32,12)--
c(32,32,28)t(32,48,28)-s(48,24,12)-
s(40,24,28)s(32,24,28)*c(32,24,12)-
s(24,32,20)s(16,24,20)+t(24,56,12)+
s(32,48,20)c(32,32,20)*s(8,48,12)+
c(24,40,20)s(24,32,28)s(16,48,12)-*
c(32,40,20)s(32,40,28)s(48,40,12)-*
s(48,8,12)t(24,48,28)+t(32,56,12)-
s(32,24,20)s(32,48,20)-c(40,48,12)+
t(32,48,28)s(32,32,28)s(40,24,28)*+
s(16,48,20)c(32,40,20)*c(48,32,12)+
s(24,40,28)s(16,40,12)-s(16,32,12)-
c(40,16,12)s(32,48,20)s(24,32,28)++
s(24,40,28)t(40,24,20)-s(32,40,28)*
c(24,40,20)t(40,48,20)s(24,48,20)+*
c(32,40,20)t(40,24,20)s(16,32,20)--
s(32,16,12)t(32,40,20)+c(32,32,20)+
s(32,24,28)t(48,32,12)-s(24,24,28)*
c(32,24,12)s(16,40,20)s(24,32,20)*+
s(32,24,28)s(24,48,20)-c(48,24,12)-
s(32,32,28)c(32,24,20)s(40,40,12)-*
c(32,32,28)c(16,40,12)t(48,32,12)+-
t(48,48,12)s(24,40,28)s(24,48,20)-+
s(32,24,20)c(40,24,12)-t(32,40,28)+
s(24,48,20)s(24,40,20)*t(40,24,12)+
c(48,32,12)s(24,24,28)s(16,16,20)*+
c(40,24,20)s(40,32,28)s(32,24,28)**
t(16,56,12)t(48,16,12)+t(24,24,20)+
s(32,40,28)c(32,32,20)*s(8,8,12)+
s(24,40,28)s(32,40,28)*c(24,48,12)-
c(40,24,12)c(24,40,20)+t(32,40,20)-
s(24,24,20)s(48,32,20)+s(24,32,12)-
s(24,32,12)c(32,16,12)t(24,48,12)++
s(32,24,28)s(40,32,20)c(48,32,12)--
s(40,24,28)s(16,40,20)-s(40,48,20)-
s(40,40,28)s(32,16,20)c(24,24,20)*-
s(40,32,28)c(16,16,12)c(40,24,20)+*
c(40,24,20)c(24,32,20)s(32,24,12)-+
s(40,16,12)s(32,40,20)c(32,24,12)++
s(24,24,28)s(48,24,20)c(32,32,20)*-
s(32,32,28)s(40,40,28)c(24,24,20)*-
c(32,40,20)c(32,24,12)+s(40,16,12)+
t(24,48,28)s(32,24,20)s(24,40,28)*-
s(24,40,28)c(24,24,20)s(40,32,28)--
t(24,32,28)s(16,16,20)s(24,16,12)--
t(32,40,20)s(24,24,20)+s(32,40,12)-
c(40,32,20)s(40,32,28)t(40,24,20)-+
c(32,24,20)s(40,24,28)s(40,48,20)-*
c(32,24,12)t(24,48,28)+t(32,48,20)-
c(24,24,20)s(48,40,20)s(32,24,12)+-
c(32,32,28)c(48,48,12)t(32,56,12)+-
t(32,48,28)c(40,24,20)s(48,24,20)--
s(24,32,28)s(32,32,28)t(40,24,20)-*
s(16,40,12)s(32,32,20)+s(16,16,20)-
s(40,16,20)s(48,40,20)+s(32,24,28)+
s(16,40,20)s(24,32,20)c(40,32,20)-+
t(40,56,12)s(40,32,28)s(32,24,28)*+
s(24,24,20)s(24,40,12)-t(32,48,12)+
t(24,56,12)s(32,40,20)s(40,40,20)*+
s(40,40,28)s(40,40,20)s(16,32,20)+*
t(48,48,12)c(48,40,12)s(8,24,12)++
t(24,48,28)t(24,24,20)s(32,24,20)*+
t(24,40,28)s(24,32,28)s(8,24,12)-*
t(24,40,12)t(32,32,28)c(40,24,20)*+
s(32,24,20)t(40,32,20)s(48,24,12)-+
s(32,24,28)s(40,48,20)t(32,48,20)--
c(40,40,20)s(32,16,20)-s(48,16,20)+
s(24,32,28)s(32,32,28)*s(40,40,12)-
s(32,32,28)t(40,16,12)-s(40,40,28)*
c(24,32,20)s(48,24,20)s(32,40,28)+*
s(24,32,28)c(32,24,20)s(24,24,28)**
s(24,24,28)c(24,40,20)s(8,40,12)-+
s(32,40,28)t(48,32,12)-s(40,32,20)-
s(40,24,28)s(24,32,20)-s(8,24,12)+
s(32,24,28)c(32,32,20)*s(16,40,20)+
c(24,40,20)s(32,32,28)s(32,40,28)**
s(40,32,28)c(24,24,12)-t(24,24,20)+
s(48,32,20)s(32,48,20)s(16,32,20)-+
t(48,24,12)s(16,32,20)+t(16,24,12)-
s(16,48,20)t(32,40,28)+c(24,24,12)+
s(40,40,28)c(32,24,12)c(24,40,20)+*
t(24,40,20)t(24,32,28)s(8,24,12)++
c(40,24,20)s(24,8,12)+s(48,16,12)-
s(32,48,20)t(32,40,28)s(32,32,28)*+
c(32,32,28)t(24,32,20)s(24,40,20)*-
s(24,24,20)t(40,56,12)+s(24,24,28)*
c(24,32,20)s(16,16,20)s(24,24,28)*-
t(16,56,12)s(24,24,28)+s(40,24,12)-
s(40,24,28)s(40,24,20)s(48,40,12)--
c(24,24,20)s(40,8,12)s(32,48,20)+-
s(32,32,28)t(32,40,12)-c(48,32,12)-
s(32,40,28)c(16,48,12)s(32,48,20)+*
t(24,40,28)c(24,16,12)-s(24,32,20)+
s(32,40,20)t(32,48,28)c(16,40,12)-+
s(40,40,28)s(16,24,20)-s(24,32,28)-
s(32,40,28)c(40,40,20)*s(40,32,28)*
s(24,40,28)s(8,32,12)-t(24,24,12)-
s(40,40,28)c(32,32,20)s(24,32,28)*-
s(32,40,28)s(16,24,12)-t(48,40,12)-
t(24,48,28)s(40,24,12)+c(32,40,20)*
c(32,32,28)s(48,32,12)-c(40,40,20)*
s(24,32,28)c(32,24,20)*s(8,24,12)+
t(40,16,12)c(32,40,20)+s(48,24,20)-
s(32,40,20)s(24,40,20)*c(48,48,12)+
t(24,32,28)t(48,16,12)+c(24,48,12)-
t(32,40,28)s(48,40,20)+s(32,40,12)-
s(24,24,28)t(24,32,28)s(40,24,12)+*
t(32,40,28)c(24,40,20)s(16,8,12)+*
s(40,32,28)s(24,40,20)c(32,24,12)--
s(40,16,20)s(32,24,20)-s(16,40,20)+
c(40,24,12)s(16,40,20)+s(40,32,28)+
s(32,48,12)s(40,32,20)+t(48,40,12)-
c(40,40,20)s(16,48,20)t(24,56,12)--
c(24,24,20)s(40,16,12)-s(32,48,20)-
s(32,24,28)t(40,40,20)c(32,24,20)+*
t(32,40,28)t(40,32,20)s(40,24,20)*-
s(32,32,12)s(40,16,12)+t(40,56,12)+
s(40,32,28)t(32,24,12)-c(40,24,12)-
c(32,40,20)c(32,32,28)s(24,16,20)*-
c(32,32,20)s(24,32,28)*s(40,32,28)*
s(32,24,28)s(40,16,20)t(24,24,12)--
c(40,32,20)c(32,32,20)s(24,40,28)+*
c(40,24,20)s(40,32,28)*t(48,16,12)-
t(32,24,20)t(24,40,28)t(48,32,12)++
c(24,24,20)t(32,32,20)-t(40,48,20)+
s(48,48,12)t(16,24,12)c(48,32,12)++
s(24,32,28)s(48,48,20)+s(24,40,28)*
t(32,40,20)c(24,24,12)+s(16,48,12)+
c(40,40,20)s(48,32,12)s(48,16,20)+-
s(16,48,20)s(24,24,28)+s(16,16,20)-
c(24,24,20)c(24,40,12)-c(24,40,20)+
s(24,24,28)s(40,8,12)c(16,32,12)+-
s(24,32,28)s(32,32,28)*t(40,32,12)-
s(32,24,20)t(32,32,28)*t(16,56,12)+
s(40,40,28)t(40,24,20)-t(32,32,20)+
s(40,32,28)s(40,16,20)-s(16,32,12)+
s(40,32,28)s(24,32,28)t(40,32,20)--
s(16,32,20)s(16,8,12)+s(16,16,12)-
c(32,32,12)s(48,24,20)+c(40,40,12)-
s(40,40,28)t(24,32,20)t(32,56,12)+-
c(32,32,28)t(24,32,12)c(24,16,12)+-
c(32,24,20)s(24,40,20)c(32,40,20)*-
s(40,32,28)c(24,24,12)s(40,8,12)+-
s(40,24,20)s(48,40,12)-s(24,40,28)+
s(32,24,28)s(24,24,28)*s(24,32,12)-
s(40,32,28)t(32,32,28)s(24,32,20)*-
c(32,32,20)s(32,32,28)s(48,48,20)-*
s(24,24,12)s(24,48,20)+c(40,24,20)-
s(48,40,20)s(48,32,12)-s(32,48,20)+
c(32,32,28)c(32,32,20)c(24,24,20)*-
c(40,24,12)s(16,32,20)+t(24,48,20)-
s(16,16,20)s(40,24,20)c(48,40,12)-+
t(24,32,20)s(16,32,20)*s(40,40,28)+
c(40,16,12)t(40,48,12)+t(24,40,20)+
c(40,24,20)s(40,40,28)s(16,32,20)+*
c(32,32,20)t(24,40,20)*c(48,48,12)+
s(24,40,28)t(16,32,12)s(48,48,20)+-
s(16,32,20)c(24,24,20)s(32,40,28)*+
s(24,40,28)s(24,32,28)*s(8,48,12)+
s(40,32,28)t(24,48,20)t(24,40,28)*+
s(32,32,28)s(16,16,20)-t(32,32,28)*
s(32,48,20)s(40,32,28)c(40,40,20)*+
c(24,24,20)s(32,16,20)t(32,24,20)*-
s(24,16,12)c(40,32,20)+s(40,40,28)*
t(32,48,28)s(24,40,20)-c(24,48,12)+
c(40,32,20)s(24,8,12)c(32,32,20)+*
s(16,40,20)s(24,32,28)+c(16,24,12)-
s(24,40,28)s(32,40,28)*c(16,32,12)-
s(24,48,20)c(16,32,12)-s(40,8,12)+
s(48,40,20)s(32,40,12)+t(32,32,12)-
s(32,32,28)s(32,16,20)t(32,40,20)+*
s(16,16,12)t(24,48,20)+t(40,48,20)+
s(32,40,28)s(16,16,20)+t(24,24,20)-
t(16,56,12)c(40,32,20)+s(24,40,20)-
c(24,40,20)t(24,40,28)*t(32,32,20)+
s(8,24,12)s(24,24,28)t(16,16,12)-+
c(48,32,12)s(24,32,20)+s(40,16,20)-
s(48,48,12)s(40,24,28)s(24,24,20)*+
c(40,24,20)t(40,32,20)s(24,48,20)--
s(40,24,20)t(48,32,12)-s(24,40,28)+
s(32,24,12)c(40,40,20)t(32,40,28)*+
t(24,32,28)t(16,16,12)s(32,32,12)++
s(48,40,20)c(24,24,20)s(24,32,12)-+
s(32,16,20)c(32,24,20)*c(16,48,12)+
s(40,48,12)c(24,24,20)+s(40,32,28)*
s(40,40,28)s(48,32,20)-c(40,48,12)+
s(40,32,20)s(24,24,28)*s(32,48,20)+
s(24,24,28)s(24,32,28)s(32,40,20)*-
s(8,8,12)t(24,24,20)s(24,32,12)++
s(24,48,20)t(32,40,12)-s(24,32,12)+
c(32,40,20)c(40,24,20)+c(24,40,20)-
s(40,24,28)s(24,48,20)-s(24,32,20)-
c(32,32,28)c(48,24,12)s(40,40,12)+-
s(32,32,28)c(32,24,20)c(24,40,20)*-
t(40,48,20)s(24,32,28)c(32,40,20)-+
c(40,40,12)c(24,32,20)+c(40,32,20)*
s(24,48,20)s(24,32,20)*s(32,40,20)+
s(8,32,12)c(24,24,12)s(48,40,12)++
t(32,56,12)t(40,16,12)s(40,32,20)++
s(48,16,20)s(40,32,20)+s(32,16,12)-
s(32,32,28)t(40,32,12)t(32,32,20)+-
s(8,24,12)s(40,32,20)+t(32,24,20)-
s(16,16,20)s(40,24,28)-s(16,48,12)+
t(32,48,28)c(32,32,28)*s(32,40,20)+
c(32,24,20)s(48,48,20)s(40,48,20)*-
t(32,40,28)s(32,32,28)t(40,32,12)-+
s(32,32,28)s(24,32,28)c(16,32,12)-*
c(40,32,20)c(32,16,12)+s(32,16,20)-
s(40,24,12)t(32,48,12)+c(48,16,12)+
t(32,40,28)s(32,48,20)*s(40,24,28)+
t(40,56,12)t(40,24,12)+c(32,32,20)+
s(16,24,20)s(40,24,20)-c(24,24,12)+
s(40,24,28)s(40,24,12)-s(40,40,28)+
s(40,40,28)s(32,40,28)*c(40,32,12)-
s(32,32,28)t(40,32,20)-s(16,24,12)-
s(40,24,20)s(48,48,20)+s(16,24,20)-
t(24,24,12)s(32,40,28)s(24,16,20)-+
s(24,32,28)t(40,32,12)-c(24,24,20)*
t(32,32,20)t(32,48,20)+s(24,48,20)+
c(32,40,20)s(48,32,12)-c(48,40,12)-
s(48,40,12)s(40,24,20)c(24,16,12)-+
c(40,24,20)s(32,16,12)-s(24,24,12)-
s(32,40,28)s(48,16,20)-t(24,40,12)-
c(40,32,20)s(32,24,20)+s(24,24,28)*
s(48,24,20)t(24,32,28)-s(24,16,20)+
s(40,32,28)s(24,16,20)-s(16,24,12)+
s(32,40,28)c(48,16,12)+t(40,24,20)-
s(40,24,28)t(32,48,28)s(32,40,28)*-
s(40,32,28)s(24,24,12)-t(32,48,12)-
c(24,24,20)c(32,24,20)s(24,40,12)+*
s(24,24,12)s(16,48,20)+s(24,32,28)*
s(16,8,12)c(32,32,20)+s(32,48,20)-
c(32,24,20)s(8,24,12)+s(40,32,12)-
t(48,56,12)t(24,48,28)s(24,48,20)*+
s(32,40,28)s(24,40,20)s(24,24,28)*-
s(16,16,12)s(24,48,20)c(40,48,12)++
s(16,48,20)c(24,40,12)t(16,16,12)++
c(32,32,20)s(24,24,28)s(32,24,28)**
c(32,24,20)s(48,32,20)s(48,48,20)*-
s(40,40,28)t(24,40,20)-t(32,40,12)+
c(24,24,20)s(24,48,20)c(32,32,20)*+
s(16,48,12)c(32,40,20)s(24,32,28)*+
c(32,32,28)s(40,24,28)*s(32,40,12)-
s(40,40,28)s(32,40,28)*s(48,24,20)-
t(32,32,28)s(32,48,20)t(24,24,20)++
t(40,48,20)c(40,32,20)c(32,16,12)-+
s(40,32,20)c(32,40,20)*t(24,56,12)+
c(40,24,20)s(32,32,28)s(24,48,12)-*
s(40,32,28)c(24,40,12)-c(40,32,20)*
s(8,40,12)t(32,40,28)+c(32,40,12)-
t(16,24,12)c(40,40,20)+s(24,24,12)-
t(24,24,20)s(24,48,20)+t(24,48,28)*
c(32,24,20)s(32,24,20)s(8,40,12)+*
s(24,24,28)s(32,24,28)t(48,32,12)-*
s(32,32,20)t(48,32,12)+t(32,24,12)-
c(48,16,12)s(32,24,28)c(48,32,12)-+
s(32,24,28)s(40,32,28)*s(48,40,12)-
c(40,32,20)s(16,48,12)t(24,48,20)+-
t(48,16,12)s(24,8,12)t(32,40,28)++
c(32,32,28)s(32,32,12)-s(24,24,28)*
s(40,40,20)s(48,40,20)*t(40,24,20)+
s(32,48,20)t(24,32,20)-s(16,24,20)+
s(40,32,28)t(32,48,28)s(24,32,28)*-
s(40,40,28)c(32,40,20)s(24,24,28)*-
s(32,24,28)c(24,24,20)*s(24,32,28)*
s(32,24,28)s(32,24,20)c(40,32,20)*-
s(24,32,28)t(24,32,12)-c(32,40,12)-
s(24,32,28)t(40,24,20)-s(40,16,12)+
c(32,32,28)c(24,40,20)t(32,40,20)--
t(24,48,28)t(24,40,28)*s(40,24,28)+
s(24,24,20)c(40,24,12)-s(24,48,20)+
c(32,24,20)s(32,32,28)*c(32,32,20)*
t(24,48,28)s(16,32,20)+t(24,24,12)-
c(24,32,20)s(48,24,20)s(16,24,20)+*
s(40,32,28)c(40,16,12)-t(40,32,12)-
s(32,32,28)s(32,32,12)-c(48,32,12)+
c(24,40,20)t(16,32,12)-t(32,32,12)-
c(48,24,12)s(24,16,20)+c(48,16,12)-
s(16,48,20)c(24,40,20)*t(32,48,28)+
s(8,40,12)c(24,24,12)s(16,16,12)++
s(24,16,20)t(24,32,28)c(40,24,20)*+
c(40,24,20)s(40,48,12)+t(48,32,12)-
c(40,32,20)t(24,48,28)t(24,48,12)--
s(40,40,20)t(24,24,12)+c(32,32,20)*
t(32,40,20)s(32,48,20)+s(24,40,28)*
s(16,48,20)s(16,40,12)-c(32,24,12)+
t(48,48,12)s(24,48,20)+c(32,32,28)*
s(40,24,28)t(32,48,20)s(40,32,12)+-
c(24,32,20)s(32,24,20)t(32,40,28)*-
c(48,24,12)c(40,40,20)+c(48,48,12)-
t(32,32,28)t(24,48,20)c(32,32,28)*-
c(32,32,20)c(40,24,20)c(16,48,12)+*
c(48,24,12)s(32,32,28)s(32,24,28)*+
s(24,32,28)s(24,24,28)*s(32,24,20)+
c(24,32,20)s(48,40,20)s(40,32,28)*-
s(32,32,28)c(32,24,20)*c(48,32,12)-
c(32,40,20)c(32,32,20)s(40,32,28)**
s(32,24,28)c(24,24,20)*t(40,40,20)-
t(24,40,28)s(32,24,20)t(24,32,28)*+
s(32,32,28)s(40,40,20)+t(24,40,12)-
s(24,40,20)c(24,32,20)*s(24,8,12)+
c(32,32,20)s(24,40,28)t(32,48,28)+*
s(16,8,12)c(32,40,20)+s(40,32,20)-
c(32,32,28)c(32,48,12)-c(24,24,20)*
t(24,32,28)s(40,24,28)s(32,48,20)-+
c(24,32,20)s(24,32,28)s(32,16,20)*-
t(16,24,12)c(32,40,20)+t(40,24,20)-
s(24,32,20)s(24,40,20)+s(16,48,12)-
t(32,48,28)s(32,32,20)t(24,48,28)--
s(8,24,12)t(32,32,28)s(24,24,20)*+
c(32,32,28)c(16,40,12)c(24,24,12)+-
s(40,40,28)c(16,32,12)s(48,32,20)+*
t(32,32,28)t(16,40,12)s(8,40,12)+-
s(40,24,28)s(48,32,20)c(24,24,20)--
s(24,32,28)s(48,40,20)s(40,40,20)*+
t(32,32,28)s(16,24,20)s(16,40,20)*-
c(32,40,20)s(24,40,20)*s(16,24,12)+
c(24,40,20)t(32,48,12)c(48,48,12)+-
s(40,32,28)s(40,16,20)s(48,24,20)*-
s(40,40,28)t(24,32,20)+s(40,32,20)-
s(48,40,12)t(24,40,20)+c(24,16,12)+
c(16,48,12)s(24,8,12)c(24,40,12)++
c(40,24,20)s(24,48,20)-c(24,32,12)-
c(24,24,20)s(24,32,20)+s(16,8,12)-
s(24,32,28)c(32,32,12)-s(40,16,12)-
t(24,32,28)s(16,48,20)+s(40,32,28)-
s(24,32,28)c(32,40,20)s(32,24,20)+*
s(24,32,28)s(40,40,28)c(48,40,12)--
s(40,40,20)t(40,32,20)*s(48,24,20)+
s(40,24,28)c(40,40,20)t(24,48,20)--
c(32,32,28)s(40,40,28)t(32,32,28)--
s(40,40,28)s(32,24,20)s(24,24,20)*-
s(48,24,12)t(48,32,12)t(32,24,20)++
c(32,32,28)s(32,24,12)-s(40,48,20)-
s(24,32,20)t(40,56,12)+c(24,32,20)+
s(24,32,28)t(40,32,20)-t(48,24,12)+
c(24,40,20)t(40,32,20)-s(32,24,28)+
s(40,16,20)c(40,32,12)-c(24,32,12)+
t(32,48,28)c(40,32,20)+c(16,48,12)-
s(24,24,28)c(40,24,20)*s(48,24,12)+
c(24,32,20)t(24,56,12)+t(24,32,12)-
c(32,40,20)s(32,40,28)s(16,48,20)-*
c(40,32,20)s(24,16,20)s(16,32,12)-+
c(32,32,20)s(24,24,20)*c(40,48,12)+
s(8,8,12)s(16,32,20)c(32,24,12)-+
s(40,32,20)c(24,40,20)*s(16,32,20)+
s(24,24,20)t(32,48,28)+t(32,48,20)-
s(16,48,20)t(32,48,28)+s(32,48,12)-
c(16,16,12)s(48,32,20)t(32,32,12)-+
s(16,16,20)s(48,8,12)+t(24,16,12)-
s(32,24,28)c(40,32,20)t(32,40,28)*-
s(24,24,28)t(32,32,28)t(40,40,20)*-
s(16,32,20)s(32,16,20)+t(32,40,20)+
c(24,40,20)t(32,24,20)t(32,48,20)++
s(32,32,28)s(40,8,12)c(40,32,20)+*
s(32,48,20)s(32,32,12)+c(24,40,20)*
s(32,32,28)c(32,40,20)*t(40,24,12)-
s(24,24,28)s(24,32,28)*s(32,40,12)-
s(32,8,12)s(40,48,20)c(40,40,20)*+
c(24,40,20)s(40,8,12)+s(32,32,28)*
c(40,40,20)t(24,32,20)+s(48,8,12)+
t(24,24,20)t(32,40,28)t(32,32,28)*+
s(24,40,28)s(24,24,28)s(32,24,12)--
c(32,40,20)t(40,56,12)-s(40,32,28)*
s(32,40,28)c(24,40,20)s(32,48,20)--
t(24,40,28)s(40,32,28)*c(48,40,12)+
s(24,40,28)s(40,32,20)c(40,40,20)*-
c(24,16,12)c(40,40,20)+s(24,24,12)-
s(40,40,28)s(16,40,20)s(24,48,20)*-
s(24,24,28)t(40,32,20)-s(32,32,20)-
c(32,32,28)s(48,24,20)-t(16,32,12)-
s(32,24,28)s(40,48,12)c(24,32,12)+-
t(24,40,20)s(32,24,28)+s(40,24,28)*
s(24,40,28)s(24,40,20)c(32,16,12)+*
s(24,32,20)s(32,24,28)s(48,16,20)*+
s(32,24,28)t(48,40,12)s(48,24,20)+-
t(24,40,28)s(8,40,12)+s(24,40,28)*
c(32,48,12)t(24,32,20)+s(16,40,12)+
c(32,24,20)s(24,32,28)c(48,32,12)+*
s(48,40,12)s(8,40,12)s(24,48,20)++
t(32,32,28)t(40,24,20)+s(32,48,20)-
c(32,40,20)s(48,8,12)+s(24,24,28)-
s(24,16,20)s(32,40,20)s(24,48,20)*+
s(32,32,28)s(48,16,12)-c(40,40,20)*
c(32,40,20)s(40,32,20)+c(40,40,12)-
s(8,48,12)s(24,24,28)c(24,16,12)-+
c(24,40,20)c(40,24,20)s(32,40,12)--
s(40,24,28)s(24,16,12)-s(24,32,12)-
s(40,40,28)s(40,16,20)s(40,8,12)--
c(32,32,20)s(32,24,28)*s(24,32,28)*
s(24,40,28)s(40,48,20)c(16,16,12)+-
s(24,40,28)t(32,40,20)-c(32,32,12)-
s(24,16,20)s(40,16,20)s(40,32,28)*+
t(24,32,20)c(40,32,12)-s(40,24,28)+
s(24,24,28)s(40,24,28)t(24,32,28)+*
s(40,24,28)c(40,32,20)s(40,40,28)**
s(16,16,20)s(16,24,20)s(16,40,20)*+
t(16,16,12)t(24,48,20)+s(32,8,12)+
s(40,32,28)t(48,24,12)-t(24,40,12)-
t(32,48,28)s(32,24,20)+c(24,32,20)*
t(24,40,28)c(24,24,12)-s(40,24,28)+
s(32,32,20)s(24,24,28)+c(32,40,20)-
s(48,40,20)s(48,32,20)*s(32,40,28)+
c(32,40,20)c(16,16,12)+s(32,24,20)-
s(48,16,20)t(24,32,20)c(32,24,20)*+
t(32,48,20)s(48,32,20)c(24,48,12)++
c(24,40,20)s(32,32,20)+s(32,24,28)*
c(24,24,12)t(24,48,28)s(24,48,20)*+
s(40,24,20)t(40,24,12)-t(24,48,20)+
t(32,32,28)t(48,24,12)+c(40,32,20)*
s(24,24,20)s(16,24,20)t(24,24,12)-+
c(32,32,28)s(48,24,12)t(48,56,12)+-
s(16,16,20)s(24,16,20)c(24,32,20)*+
c(24,24,20)s(32,40,20)s(24,24,20)+*
t(16,16,12)c(24,40,20)t(32,48,28)*+
c(32,40,20)t(24,24,20)-s(40,40,28)*
s(16,32,20)s(48,40,20)+t(32,40,28)+
t(32,32,28)s(40,48,20)c(32,32,28)*+
s(48,24,20)c(32,32,20)s(24,48,20)*+
s(48,16,20)s(24,32,20)t(24,40,20)-+
c(40,24,20)s(24,16,20)s(32,24,20)*-
t(24,32,28)s(40,40,28)s(16,24,20)+*
s(24,40,28)s(40,48,20)c(32,40,12)--
s(24,32,28)s(32,16,20)c(32,32,28)*-
s(32,48,20)s(16,8,12)c(32,48,12)++
c(32,32,20)s(16,32,12)s(48,48,12)+-
s(40,24,20)s(24,16,12)-s(40,32,20)+
c(40,24,20)s(40,16,20)s(24,24,20)--
t(40,56,12)s(24,16,12)s(48,16,20)++
s(40,24,28)c(32,32,28)*c(40,24,12)-
c(32,32,20)t(24,16,12)-t(24,48,20)+
t(32,24,20)s(48,32,20)+s(32,16,12)-
s(40,32,28)s(48,24,20)*c(32,32,12)+
c(24,40,20)c(16,32,12)c(48,24,12)++
s(24,40,28)s(32,24,20)s(24,16,20)*-
c(32,32,28)s(32,48,20)-c(40,32,20)*
s(40,40,28)t(24,40,28)t(24,32,20)--
s(40,32,28)c(24,40,20)*c(24,16,12)+
s(24,32,20)t(40,24,20)+s(24,16,12)-
s(40,24,28)s(40,40,28)c(40,32,20)**
c(32,32,28)t(24,24,20)c(40,32,12)--
c(32,16,12)t(32,24,20)+s(48,24,20)+
s(16,32,20)s(16,24,20)*s(32,40,20)+
s(16,48,20)s(32,32,12)+s(40,32,12)-
t(32,48,28)s(24,32,20)t(24,24,20)*-
t(32,40,28)s(16,24,20)+s(40,16,20)-
s(24,32,28)t(16,56,12)c(32,32,20)+*
t(32,48,28)t(24,40,28)c(40,32,20)--
t(32,32,28)s(24,48,12)-c(32,32,20)+
c(32,32,28)s(40,16,20)s(24,24,28)*-
c(32,24,20)t(16,48,12)+t(16,24,12)-
s(16,32,20)s(32,48,12)c(48,40,12)++
c(24,32,12)s(16,32,12)t(32,48,20)++
s(32,48,12)s(8,48,12)c(24,16,12)++
t(24,32,28)t(32,56,12)+s(24,24,28)*
t(32,48,28)c(48,16,12)+t(24,32,28)-
c(40,32,20)s(32,48,12)-s(48,40,20)+
t(40,32,20)s(32,24,20)+s(40,8,12)-
s(24,40,28)s(24,24,28)*c(24,24,20)+
s(40,40,28)s(40,32,28)*s(48,24,12)-
s(8,48,12)s(40,32,20)c(40,48,12)-+
t(16,48,12)s(24,16,12)t(32,32,28)++
c(40,32,20)c(24,24,20)s(16,32,20)*-
c(40,24,20)s(40,8,12)-s(32,24,28)*
c(32,32,20)c(40,32,20)*s(48,48,12)-
s(32,24,28)s(24,40,28)c(24,40,12)--
t(32,40,28)c(32,48,12)-c(24,24,12)+
s(48,16,20)s(40,24,20)+s(40,32,28)*
s(24,40,12)c(32,24,20)s(24,32,20)-+
c(32,40,12)c(32,24,20)+c(24,40,12)-
c(40,16,12)c(24,32,20)+s(24,48,12)-
c(48,32,12)s(24,32,28)s(24,40,20)-+
s(32,32,28)t(40,32,12)-c(24,24,12)-
c(32,32,28)s(16,48,12)s(48,24,20)+*
c(40,24,20)s(24,32,28)-t(24,40,28)+
s(32,24,20)s(40,8,12)+t(32,32,12)-
c(24,24,20)s(16,24,20)*c(32,32,20)+
s(40,32,28)s(40,40,28)s(32,24,28)*-
s(8,8,12)s(16,32,20)+s(8,40,12)-
c(32,24,20)s(32,40,12)-s(24,24,20)+
s(24,24,20)c(24,24,12)-c(16,48,12)+
s(24,32,28)s(40,32,28)*c(40,24,12)+
s(40,48,20)s(24,32,28)t(40,32,20)-+
s(32,40,20)s(24,16,20)c(32,32,28)*+
c(24,40,20)s(32,24,28)-s(48,40,12)+
s(32,32,28)t(48,56,12)t(24,40,12)+-
s(24,40,20)s(32,32,28)s(40,16,20)*+
s(40,32,28)s(24,32,12)t(32,48,20)+-
s(32,24,28)t(32,48,28)s(24,32,28)*-
t(24,32,20)t(32,40,20)t(24,40,12)-+
s(24,24,28)c(32,40,20)t(24,32,20)--
s(24,24,28)s(24,24,12)-s(40,40,28)-
s(16,48,20)t(40,24,20)s(40,40,28)*+
c(40,24,12)s(32,24,28)t(48,24,12)-+
s(48,16,20)c(32,32,28)*c(24,16,12)+
c(32,16,12)s(48,40,20)+s(40,32,28)*
s(40,40,28)s(16,24,12)+t(24,48,28)-
s(24,32,28)c(40,48,12)-s(16,24,20)+
s(32,24,28)s(40,32,28)s(40,24,28)**
s(48,16,20)t(32,24,12)-s(24,32,28)+
c(40,32,20)s(40,40,28)*c(16,32,12)+
s(32,32,28)c(48,24,12)-t(32,16,12)-
c(48,32,12)t(16,56,12)s(32,32,20)++
s(32,40,28)c(24,24,20)s(40,16,20)*-
s(24,32,12)c(40,24,20)c(40,32,20)*+
s(32,8,12)s(40,48,20)+c(16,24,12)+
s(24,32,28)t(40,40,20)s(40,24,20)+-
s(32,40,12)s(48,48,20)s(40,24,28)-+
c(24,24,12)s(40,32,28)s(48,32,20)-+
c(32,24,20)s(16,48,20)s(16,32,20)*-
c(32,24,20)c(40,24,12)-t(24,56,12)+
s(24,32,28)s(24,40,28)*c(32,24,12)-
s(16,16,12)s(24,16,12)+s(48,48,20)+
t(32,32,20)s(32,40,20)c(32,32,12)-+
t(24,32,28)s(32,16,20)+c(24,24,20)*
s(24,32,28)t(40,24,20)c(24,16,12)-+
t(24,24,20)t(32,40,28)s(24,40,28)*+
t(32,40,28)t(24,32,12)t(32,24,20)++
s(32,32,12)s(24,32,20)c(32,32,12)-+
s(24,24,28)s(32,24,28)s(24,16,20)--
c(48,40,12)s(40,48,20)c(32,40,20)*+
s(40,24,28)s(32,32,20)+c(32,48,12)-
c(40,40,20)t(24,48,28)s(16,40,12)--
s(40,16,20)s(8,40,12)+s(16,40,12)-
s(40,24,28)t(24,48,28)s(40,48,20)*+
s(48,16,20)s(24,24,28)+t(24,32,28)*
s(48,40,20)c(32,40,20)+c(40,32,12)-
c(32,24,20)s(40,8,12)-s(16,16,12)-
s(24,24,28)c(32,40,20)*t(32,40,20)+
c(40,32,20)t(24,48,28)c(32,32,12)++
s(8,24,12)s(32,24,28)+c(32,32,28)*
s(24,8,12)c(40,40,20)+s(32,24,12)-
s(32,48,20)s(24,40,28)+s(32,40,12)-
c(48,24,12)s(40,24,28)c(40,32,20)-+
s(16,48,20)s(40,48,20)s(8,32,12)++
s(32,40,20)s(16,24,20)-s(48,24,12)+
t(24,48,28)t(32,48,28)s(24,48,20)+*
s(16,16,20)t(24,24,20)+t(32,40,20)-
c(32,40,20)t(16,24,12)+s(40,40,12)-
c(24,24,12)s(32,40,28)s(40,32,28)*+
t(24,40,28)s(8,40,12)-s(24,40,20)+
s(48,16,20)s(40,8,12)-s(40,40,20)+
c(40,24,20)s(24,48,20)t(32,48,28)*-
t(48,32,12)c(16,40,12)+c(40,24,20)+
c(40,48,12)s(24,32,28)s(32,16,20)*+
s(48,48,20)s(16,24,20)+c(32,40,20)-
c(32,24,20)t(16,56,12)s(32,32,28)+*
c(24,16,12)c(24,32,20)s(24,24,12)-+
t(24,40,20)c(24,24,20)s(24,32,20)-+
t(24,16,12)c(40,32,20)+c(40,24,20)*
s(16,16,20)c(24,24,20)t(24,48,20)-+
c(16,16,12)s(8,24,12)+t(32,48,28)+
s(40,24,20)s(24,32,20)+t(24,32,28)*
t(40,40,20)s(32,24,28)+c(24,24,20)*
c(32,24,20)s(40,24,28)s(32,24,28)**
s(24,24,20)t(16,48,12)+c(40,16,12)-
t(40,24,20)s(24,40,20)-s(32,40,20)+
t(32,32,20)s(48,40,20)+s(48,32,12)-
s(32,40,28)s(48,24,12)-s(16,40,20)-
t(24,40,28)s(32,40,28)+c(32,32,20)*
c(40,40,20)c(32,24,20)t(32,40,28)--
c(40,24,20)s(32,16,12)c(32,48,12)+-
s(40,24,28)s(48,40,20)*c(32,16,12)+
t(40,24,20)s(48,24,20)s(40,32,20)-+
c(32,32,28)s(16,32,20)*t(32,48,20)+
s(24,16,20)c(16,32,12)-s(40,40,28)+
c(32,32,28)t(24,32,20)-c(16,40,12)-
c(40,40,20)t(24,40,20)s(24,32,20)*-
s(32,32,28)s(24,48,12)-s(24,32,12)-
s(32,40,28)c(40,24,20)*s(8,48,12)+
s(32,32,28)s(32,24,28)t(32,32,28)--
s(40,32,28)t(24,32,12)-c(32,32,20)*
s(40,24,28)c(32,32,28)c(40,24,12)-*
c(40,32,20)t(24,40,28)c(40,40,12)--
s(24,24,28)c(32,48,12)c(24,32,20)+*
c(40,40,20)s(40,40,12)c(32,16,12)+-
s(40,40,28)c(40,40,20)s(48,32,20)*-
t(32,48,28)t(24,48,28)c(24,24,20)+*
t(48,16,12)s(24,16,12)+s(40,24,20)+
t(24,32,28)t(32,32,20)s(32,24,12)++
c(32,40,20)s(32,24,20)s(48,24,20)*-
t(32,32,28)s(40,16,20)s(32,16,12)--
s(16,8,12)c(24,32,20)s(16,24,20)*+
s(24,32,28)s(24,24,20)-t(32,24,12)+
c(16,32,12)s(16,48,20)+t(24,32,12)-
s(24,24,28)s(32,24,28)s(40,24,12)-*
c(24,32,12)t(32,32,28)t(32,40,28)*+
s(40,16,20)s(24,32,28)s(40,24,20)*+
t(32,32,12)s(24,24,28)s(40,32,28)-+
c(32,32,28)t(32,48,28)*c(16,40,12)+
s(32,24,20)s(24,48,20)+s(32,32,20)-
s(40,24,28)c(40,32,20)*s(40,40,28)*
s(48,24,20)t(24,48,28)+c(32,16,12)-
t(32,40,20)s(48,24,20)+c(32,32,20)*
s(32,40,20)s(48,16,12)t(40,32,12)++
t(32,32,28)t(32,48,12)+c(24,40,20)*
s(24,40,28)c(40,24,20)c(32,40,20)*-
c(24,40,20)s(8,32,12)-s(48,24,20)-
t(32,16,12)s(48,40,20)t(40,40,12)-+
s(40,48,20)s(48,48,20)*s(24,32,12)+
s(24,32,28)c(40,40,20)c(32,32,20)*-
c(40,32,12)s(40,40,12)+s(24,40,28)+
c(40,24,20)s(32,16,20)s(24,24,20)*-
c(32,32,20)c(32,48,12)-t(40,16,12)-
s(32,24,28)s(48,24,20)s(40,40,28)*-
t(24,40,20)s(40,48,20)t(32,40,28)*+
c(40,24,20)s(16,32,20)t(32,32,28)*+
s(48,32,20)c(24,48,12)+t(48,32,12)-
c(48,24,12)c(16,48,12)t(16,16,12)++
t(32,32,28)s(40,32,28)s(32,32,28)**
s(16,32,20)s(40,24,28)+t(24,40,28)-
s(40,48,20)t(32,40,28)*t(40,32,20)+
c(24,24,20)s(32,24,28)t(40,32,12)-*
t(32,48,28)t(16,56,12)-c(24,48,12)+
s(40,24,28)c(32,40,20)t(32,48,28)*-
t(40,32,20)s(16,48,20)-s(24,40,20)+
s(16,40,20)c(32,32,12)-s(24,16,12)+
t(24,32,28)c(32,32,28)s(24,40,28)**
t(48,32,12)s(32,48,20)+s(24,32,12)-
c(32,40,20)s(24,40,28)*c(24,40,20)*
s(32,24,28)c(16,16,12)-s(24,48,20)+
c(48,48,12)s(24,24,20)+s(24,24,28)*
s(32,24,28)c(24,16,12)-t(32,40,12)-
c(24,32,20)c(32,48,12)t(40,56,12)+-
s(40,24,28)c(40,32,20)*s(40,16,12)-
s(24,24,28)s(32,24,28)*s(40,40,12)-
s(40,16,20)t(32,32,20)+c(48,24,12)-
c(40,32,20)t(24,48,28)s(16,48,20)*+
s(16,32,20)s(24,40,20)*s(40,48,20)+
t(24,32,28)s(32,32,28)s(48,16,12)-*
t(24,40,28)t(40,40,20)-s(24,8,12)+
c(32,40,20)t(32,40,28)*c(24,16,12)+
s(40,40,28)s(8,40,12)+t(32,24,20)-
t(40,32,20)s(32,24,20)t(16,24,12)-+
s(48,40,20)c(40,32,20)+t(48,24,12)-
c(40,40,20)t(40,32,20)-c(16,48,12)+
s(40,40,28)s(24,24,28)c(24,40,20)*-
s(32,32,28)s(40,40,20)s(16,48,12)++
s(32,24,28)s(24,16,20)*t(48,56,12)+
s(24,24,20)c(24,32,20)*c(32,16,12)+
s(32,24,20)t(16,24,12)+c(40,32,12)+
t(32,48,28)c(24,40,12)-t(40,48,20)+
s(24,24,28)c(24,24,20)s(32,40,20)*-
s(24,40,12)s(32,24,20)+s(24,24,28)*
s(40,40,28)c(32,32,20)s(40,40,20)--
s(16,24,20)s(32,40,28)s(32,48,12)-+
t(32,32,28)s(32,40,28)*c(24,48,12)+
c(24,40,20)t(32,24,20)s(32,8,12)--
s(24,24,20)c(40,24,20)*t(40,48,20)+
t(24,32,28)s(8,48,12)s(48,32,20)++
t(32,32,28)c(24,32,20)c(40,40,12)+*
t(24,24,20)s(48,16,20)c(32,24,20)*+
c(24,24,20)s(40,16,12)t(48,56,12)++
c(24,24,20)s(24,24,28)c(24,32,20)--
s(32,32,28)s(40,40,28)*c(16,40,12)-
t(32,32,28)s(24,24,20)c(40,40,20)+*
t(32,40,20)t(24,32,12)c(24,24,12)++
s(40,24,20)c(16,16,12)+c(32,24,20)*
c(48,32,12)s(24,24,28)+c(40,24,20)*
s(32,24,28)s(48,40,20)t(32,48,28)--
c(32,24,20)s(16,24,20)*t(40,48,20)+
c(32,32,20)c(32,32,28)c(24,16,12)-*
c(32,24,20)s(16,16,20)s(16,8,12)--
s(32,24,28)s(16,24,20)t(24,40,20)+-
c(40,24,20)s(32,32,28)s(16,48,20)+*
c(24,40,20)t(32,24,12)-s(32,32,12)-
t(32,40,28)s(32,24,12)t(48,16,12)++
c(24,40,20)c(32,40,20)t(40,48,20)*-
s(40,40,28)s(24,32,20)s(40,40,20)--
s(24,24,28)t(32,24,20)-s(40,32,20)-
c(32,32,28)s(48,8,12)t(24,40,28)++
s(16,32,20)s(32,32,20)+c(24,32,20)+
c(40,24,20)s(40,32,28)s(32,32,28)**
c(32,32,20)c(32,40,20)*c(16,24,12)+
s(40,24,28)c(40,40,20)s(24,32,20)--
s(40,48,20)s(48,8,12)+s(40,24,20)-
s(40,16,20)s(40,24,28)s(48,16,20)*+
c(16,16,12)s(40,40,28)t(32,32,20)*+
c(40,32,20)c(32,32,20)*s(24,48,12)+
s(32,24,28)s(24,24,28)*s(40,8,12)-
t(32,24,20)s(24,40,20)t(40,40,20)-+
s(32,40,28)c(40,48,12)-s(32,24,28)*
s(40,40,28)s(16,40,20)c(32,40,20)*-
s(16,48,20)s(16,32,20)*c(32,32,20)+
s(24,32,28)s(32,32,12)-s(48,48,12)+
c(32,32,20)s(16,40,12)+s(24,32,28)*
c(40,32,20)t(40,32,20)-t(24,40,20)+
s(24,24,28)s(16,40,20)*t(32,40,28)+
c(40,16,12)c(16,32,12)s(32,32,20)++
c(32,32,20)c(48,32,12)+t(40,40,20)-
s(24,32,28)s(16,40,12)-c(40,16,12)-
s(32,32,28)s(40,48,20)t(24,40,20)--
s(32,40,28)s(24,40,28)s(8,32,12)-*
t(24,40,28)t(32,24,20)-t(16,24,12)+
c(24,40,20)c(40,32,20)+c(48,24,12)-
s(32,32,20)t(32,48,28)t(40,24,20)-+
c(32,32,20)s(24,40,28)s(48,16,12)+*
s(24,32,28)s(32,32,28)c(32,24,20)--
c(24,32,20)s(32,40,20)s(24,24,20)+*
t(24,48,28)c(16,16,12)+c(32,24,20)-
t(32,48,28)s(16,40,12)t(40,24,20)+-
s(40,16,20)s(40,32,28)s(32,40,12)-+
s(32,24,28)s(40,40,20)+s(24,24,20)-
c(32,32,20)s(24,16,20)t(24,40,28)--
s(48,48,20)c(24,40,20)s(16,32,20)*+
c(32,32,20)c(48,48,12)-s(32,40,28)*
s(32,40,28)s(24,40,28)*s(16,16,20)-
t(48,16,12)t(24,32,28)+c(48,16,12)-
t(40,48,20)t(24,32,28)+s(16,16,20)-
c(40,32,20)s(40,32,28)s(24,40,12)-*
c(40,32,20)t(24,32,28)+s(32,24,28)*
s(16,48,20)s(32,16,20)s(40,24,28)*+
c(32,32,28)c(24,32,12)-s(32,32,28)*
s(24,32,28)s(24,40,28)*s(32,40,28)*
c(32,32,28)s(32,40,20)t(24,48,28)+*
s(16,48,20)s(40,32,28)+t(24,48,28)*
s(32,48,12)c(24,32,20)+t(24,16,12)-
s(40,24,28)s(48,40,12)-s(24,24,28)*
s(40,32,28)c(32,32,20)s(48,32,12)-*
t(40,40,20)s(40,24,20)s(40,16,12)-+
c(16,40,12)s(32,40,28)s(40,32,20)*+
s(32,40,28)s(40,32,28)c(24,24,20)*-
s(48,40,20)s(48,48,20)*s(16,24,12)+
c(32,24,12)s(32,40,20)+t(32,32,28)*
s(40,24,28)s(40,16,20)c(32,40,20)+*
s(40,24,28)t(32,32,20)s(16,48,12)+-
t(40,48,12)s(32,16,20)s(40,24,28)*+
s(32,32,28)t(24,40,28)s(16,8,12)+*
c(48,16,12)s(40,40,20)s(24,40,20)-+
s(40,32,28)t(32,24,20)c(24,32,20)*-
s(32,24,28)s(40,16,20)s(48,16,20)*-
s(40,40,28)c(24,24,20)t(24,48,20)+-
c(32,32,28)s(32,16,20)s(32,24,20)*-
c(32,40,20)s(40,40,20)s(24,40,20)*-
c(24,32,20)c(24,40,20)s(8,48,12)-*
s(16,16,20)t(32,56,12)+s(8,32,12)-
s(24,24,20)s(32,24,28)s(24,40,28)*+
c(40,48,12)t(48,16,12)t(40,40,20)++
s(32,40,28)t(24,40,28)t(24,24,20)--
s(24,32,28)s(24,40,28)*t(24,24,20)-
s(24,24,28)s(32,32,28)t(40,24,20)--
s(16,48,12)s(32,48,20)t(16,56,12)++
t(32,48,20)t(32,32,20)s(32,24,20)*+
s(32,32,28)c(48,16,12)-c(16,16,12)-
s(16,40,20)c(40,24,20)-c(24,24,20)+
t(32,48,12)s(40,24,28)c(32,24,20)*+
s(40,16,20)c(24,40,20)+s(24,32,28)*
s(48,32,20)c(32,32,12)+t(16,24,12)+
s(32,48,20)c(48,40,12)+c(32,40,20)*
c(32,24,20)c(32,40,12)+c(40,32,20)*
c(24,40,20)t(24,48,12)-s(32,40,28)*
c(40,32,20)t(40,24,20)-c(48,40,12)+
s(40,16,20)c(40,32,20)+s(32,32,12)-
s(48,16,20)c(48,32,12)t(48,16,12)++
c(32,32,28)t(24,32,28)s(24,48,20)--
s(40,24,28)s(48,32,20)-s(24,24,20)+
s(24,32,28)s(48,32,20)-s(8,40,12)-
t(32,48,28)s(16,32,20)t(32,32,28)*+
s(40,40,28)c(32,32,28)c(24,40,20)-+
s(24,24,20)s(16,32,12)-c(32,32,20)+
c(32,40,20)s(40,32,28)t(32,48,20)+*
s(40,24,28)t(40,32,20)t(32,24,12)--
c(16,32,12)s(40,40,28)s(16,32,20)-+
c(32,32,28)s(40,24,20)t(32,24,20)*-
t(32,40,12)s(24,24,20)+s(40,24,12)-
c(40,24,20)c(32,24,20)*t(24,24,20)+
s(8,16,12)s(24,40,28)+c(48,48,12)+
s(24,16,20)t(32,48,20)+s(40,48,12)-
s(24,24,28)t(24,40,28)+t(40,24,20)-
s(40,40,28)t(32,40,28)t(40,40,12)--
s(40,32,28)t(32,32,12)-c(48,48,12)-
c(16,32,12)c(24,32,20)c(32,24,20)*+
s(40,40,28)s(16,32,20)s(24,32,20)*-
s(32,40,20)s(16,40,20)+s(24,32,28)*
s(40,32,28)s(32,24,28)c(16,16,12)-*
t(32,56,12)c(40,32,20)+t(32,48,12)-
s(24,24,28)s(32,48,20)-s(32,8,12)-
c(32,24,20)s(48,48,12)+t(24,24,12)-
s(32,24,28)s(40,8,12)-t(24,24,12)-
s(8,40,12)s(24,32,20)s(16,24,12)-+
c(32,16,12)s(24,40,20)+s(24,16,20)+
s(24,32,28)c(16,24,12)-s(40,40,12)-
s(16,32,12)t(24,16,12)t(32,40,20)++
s(24,32,28)c(24,40,20)*s(32,24,20)+
s(32,40,28)c(24,40,20)c(40,40,20)*-
c(40,16,12)c(24,32,20)t(24,48,28)*+
c(32,32,20)s(32,32,28)t(48,32,12)-*
s(40,24,28)s(48,32,12)-c(40,16,12)-
t(32,24,20)t(32,40,28)s(32,24,12)-+
s(48,40,12)s(32,16,20)+s(40,24,28)*
c(40,32,20)s(32,40,20)c(40,24,12)+*
s(32,24,28)s(32,32,28)*c(48,48,12)+
s(16,32,20)c(32,40,12)+s(40,24,20)-
s(24,40,20)c(16,24,12)+t(24,24,12)-
t(48,40,12)c(48,32,12)s(24,48,12)++
t(32,24,20)c(24,32,20)s(32,40,28)*+
s(48,8,12)c(32,24,20)s(40,40,20)-+
s(24,32,28)s(24,48,20)c(32,32,28)*-
s(32,40,28)t(24,32,28)t(32,48,28)--
c(48,40,12)c(24,40,20)+c(32,32,12)-
c(40,40,20)t(32,40,28)s(16,40,20)*-
s(32,32,28)s(40,32,28)*t(32,32,28)*
t(24,48,28)t(24,40,28)*s(32,16,20)+
s(24,24,28)s(32,8,12)-s(24,32,28)*
s(16,8,12)s(16,32,20)t(32,32,20)-+
s(32,24,28)c(24,48,12)+s(40,32,28)*
s(32,16,20)s(32,24,12)-s(32,40,20)+
s(8,8,12)s(40,48,20)c(32,40,20)*+
s(32,48,20)c(32,24,20)+c(40,48,12)-
s(40,24,28)t(32,40,20)s(48,24,20)-+
s(40,48,20)c(40,32,20)*s(16,32,20)+
s(24,40,20)c(24,24,20)*t(32,48,20)+
s(32,32,28)s(48,24,12)-s(24,40,28)*
c(24,24,12)s(40,48,20)c(24,40,20)*+
t(16,48,12)s(24,24,28)s(40,16,20)-+
s(48,24,20)s(24,24,28)s(32,32,20)-+
c(24,40,20)s(16,16,20)t(32,32,12)+-
c(24,24,20)c(40,40,12)-t(32,24,12)-
t(32,32,12)s(48,48,20)t(40,32,12)-+
s(32,32,28)s(16,16,12)-c(40,24,12)-
s(40,40,20)c(32,40,20)c(40,24,12)-+
s(16,24,20)s(16,48,12)s(40,24,20)++
t(24,48,28)s(16,32,20)s(24,24,20)*-
s(24,40,28)t(16,24,12)-s(48,40,20)-
c(40,24,20)s(48,16,12)-s(24,8,12)+
s(24,32,28)s(40,24,28)t(48,16,12)-+
c(32,32,20)t(40,40,20)s(24,24,20)--
t(32,40,28)c(16,40,12)+s(32,32,12)-
c(40,40,20)s(32,32,20)t(40,48,20)-+
s(24,32,28)c(40,32,20)s(16,40,20)--
s(40,32,28)c(24,40,20)s(40,24,28)--
s(16,8,12)s(48,48,20)c(24,40,20)-+
t(40,32,20)t(32,40,20)s(48,40,12)-+
s(32,24,28)s(24,24,28)s(16,16,20)*-
c(40,40,20)s(32,40,28)t(24,32,12)-*
s(24,32,28)c(16,32,12)s(32,24,20)+*
c(32,24,20)c(32,40,20)s(16,40,20)*+
s(16,40,20)s(48,24,12)+s(24,40,28)*
s(40,40,28)s(40,32,28)*c(32,40,20)*
c(32,24,20)c(40,48,12)s(32,40,12)+-
s(32,48,20)c(24,24,20)+s(32,24,28)*
s(32,40,28)s(24,48,20)*s(48,24,20)+
s(24,32,28)s(40,32,20)t(32,24,12)--
s(16,40,20)c(32,40,20)c(32,24,20)-+
c(24,32,20)t(32,40,12)-t(32,56,12)+
s(32,24,28)s(40,32,20)*t(24,16,12)+
c(32,32,20)s(40,32,28)*c(16,40,12)+
s(40,40,28)s(24,8,12)+s(32,24,20)+
s(8,8,12)c(32,40,20)+c(32,24,20)-
c(32,40,20)c(32,32,20)*c(48,40,12)+
s(40,40,28)c(32,32,28)t(32,32,28)--
s(40,24,28)t(48,24,12)-t(24,40,28)+
s(32,24,28)s(32,32,28)*c(40,24,20)*
s(8,32,12)s(32,40,28)+c(24,32,12)-
s(24,32,28)c(24,48,12)-s(24,48,20)-
s(48,48,12)s(32,24,20)t(24,32,28)*+
s(24,32,20)c(48,32,12)+c(32,40,12)-
t(32,32,28)s(32,24,28)s(8,24,12)+*
s(32,24,28)s(8,48,12)s(24,24,12)+-
s(16,48,12)c(32,40,20)+t(40,32,20)-
s(32,40,28)s(40,40,28)*t(24,24,12)-
s(48,16,12)s(24,24,20)+t(40,24,12)-
s(40,32,20)t(24,48,28)+t(24,40,20)-
c(48,16,12)s(24,48,12)+c(24,48,12)+
s(48,32,20)s(40,32,20)s(48,16,20)-+
c(48,32,12)s(24,24,20)+s(32,24,28)*
s(24,24,28)s(32,32,28)c(48,32,12)-*
s(32,24,20)c(16,40,12)+s(24,40,28)*
c(32,16,12)t(24,40,28)c(32,40,12)-+
t(32,32,28)c(24,32,20)*t(32,48,28)+
s(24,40,20)t(48,56,12)+s(16,32,12)-
s(32,24,28)c(40,40,12)-t(32,40,20)+
c(32,32,20)t(32,24,12)-s(40,48,12)-
t(16,56,12)t(48,56,12)+c(24,16,12)+
s(40,40,28)t(32,32,28)t(40,40,20)*-
s(16,24,12)s(40,24,20)+t(32,32,20)-
c(32,32,20)s(32,48,20)*c(40,24,12)+
s(32,32,28)t(40,48,20)s(40,40,20)*-
c(24,32,20)s(40,40,12)-s(24,24,28)*
s(16,16,20)s(40,48,12)c(40,24,12)++
s(40,32,28)s(48,16,20)-c(40,32,20)*
s(32,8,12)c(40,48,12)+c(40,24,20)+
s(24,32,12)t(24,40,20)+c(40,24,12)+
s(24,40,28)s(32,40,28)*s(32,32,28)*
s(32,16,20)s(24,32,28)c(40,40,20)++
s(24,32,28)c(32,24,12)-c(40,32,12)-
s(40,40,28)s(40,32,28)*s(16,40,20)-
s(48,16,12)s(16,32,12)+s(8,8,12)+
s(24,8,12)s(16,24,20)t(16,16,12)-+
s(32,32,28)s(32,40,28)*s(16,16,20)-
s(8,8,12)c(24,32,20)c(24,40,20)*+
s(24,40,28)t(24,24,20)t(40,32,20)--
c(40,40,20)s(24,40,12)-t(32,32,12)-
s(24,32,28)s(32,48,12)-s(32,24,28)*
c(32,32,28)c(32,40,12)-s(32,24,12)-
s(40,32,28)t(24,32,28)c(16,40,12)--
s(40,40,28)c(40,32,20)s(40,40,20)--
c(32,32,28)s(48,24,20)s(48,32,12)--
s(40,40,28)s(40,40,20)t(32,40,28)*-
s(24,24,28)t(24,32,28)t(40,32,12)+*
c(24,24,20)s(40,48,20)-t(32,24,12)-
s(32,40,28)s(48,48,12)-c(24,40,20)+
c(32,32,20)c(40,40,20)*s(16,32,20)+
s(48,24,12)s(16,16,20)s(8,32,12)-+
s(24,32,28)c(32,40,20)-s(24,24,12)+
t(32,40,28)s(48,24,20)+c(40,24,20)*
c(32,24,20)s(32,16,20)*c(16,40,12)+
c(32,32,20)c(24,48,12)-t(48,32,12)-
s(16,16,20)s(8,16,12)-s(32,40,12)+
s(24,32,28)c(24,40,20)s(32,40,28)**
c(32,32,28)s(40,40,12)-c(16,48,12)-
s(40,24,28)s(32,24,28)t(48,16,12)-*
c(32,32,28)s(32,24,20)c(32,16,12)--
s(24,32,28)s(48,24,20)t(32,16,12)+-
s(40,24,28)c(24,32,12)-c(40,24,20)*
c(32,32,28)s(32,40,20)t(32,48,28)+*
c(40,24,12)s(48,16,20)+t(24,32,12)+
c(40,32,12)c(24,40,20)+s(16,16,20)-
s(40,40,20)s(24,16,20)t(32,16,12)-+
c(32,32,28)c(48,48,12)s(48,32,20)+*
t(48,40,12)s(16,16,20)s(32,8,12)-+
s(32,32,28)s(24,32,28)s(40,24,20)*-
c(32,32,20)t(24,32,20)t(16,40,12)--
c(40,24,20)s(32,16,20)t(32,16,12)--
t(24,40,28)c(32,40,20)*s(16,48,12)+
c(32,40,20)s(48,48,20)s(24,40,20)+*
s(24,40,20)s(48,40,20)c(40,48,12)-+
c(40,24,20)s(16,32,20)-c(24,40,12)+
s(32,24,28)s(40,32,12)s(32,48,12)+-
t(32,32,28)s(24,48,12)+s(48,48,20)+
s(32,40,28)c(40,32,20)*t(32,56,12)+
t(32,40,28)c(16,40,12)t(48,32,12)++
c(24,48,12)s(32,32,20)t(24,16,12)-+
s(32,24,20)c(40,40,20)+s(48,24,20)-
s(32,32,12)s(40,16,20)+s(24,8,12)-
s(40,40,28)s(32,40,28)*c(40,32,20)+
s(24,40,20)c(40,40,20)*c(16,48,12)+
s(24,24,28)s(32,24,20)t(32,24,12)--
s(16,16,20)s(32,24,20)s(24,16,20)*+
s(8,48,12)s(32,40,20)c(48,40,12)-+
t(32,32,28)s(32,48,12)-t(16,32,12)-
s(40,32,28)c(32,24,12)-t(24,48,12)-
s(40,24,28)t(16,24,12)t(24,32,12)+-
s(32,24,28)s(24,8,12)-c(32,24,12)-
s(40,24,28)c(32,40,20)-s(32,40,28)-
c(40,16,12)t(32,40,20)c(48,48,12)-+
t(40,32,20)s(48,48,12)-s(40,40,20)+
c(40,40,20)t(24,40,28)t(32,40,20)*-
c(24,32,20)s(48,24,20)s(48,48,20)--
t(24,48,28)c(16,48,12)-t(32,24,12)+
s(32,32,28)t(48,24,12)-c(48,48,12)-
s(48,48,12)t(32,48,28)s(24,8,12)++
c(48,40,12)t(24,32,28)s(24,16,20)*+
s(32,32,28)s(40,48,20)t(24,48,12)--
s(24,32,28)s(32,24,28)*c(24,32,20)*
t(32,48,28)s(40,40,28)s(32,24,20)*-
s(24,24,28)t(32,40,20)-s(40,16,20)-
s(32,24,28)s(16,24,12)-s(32,8,12)-
t(32,32,28)s(16,48,12)t(24,32,28)++
s(48,32,20)s(48,48,12)-s(32,8,12)+
s(16,8,12)s(32,32,28)+s(40,32,28)*
s(24,24,20)s(32,24,12)-t(40,24,20)+
c(48,48,12)s(16,32,20)+s(24,32,28)*
c(16,32,12)s(40,48,20)s(32,48,20)*+
s(16,8,12)c(40,32,20)+t(40,24,12)-
s(40,32,28)s(40,40,28)*s(32,40,28)+
s(40,32,28)t(32,32,28)+s(40,24,20)-
c(32,40,20)s(16,24,12)+s(40,40,28)*
c(32,40,12)s(32,24,20)c(40,24,20)*+
c(48,24,12)t(32,40,28)t(24,48,20)++
s(40,24,12)s(16,40,20)+t(40,24,12)-
t(24,40,28)s(48,48,20)-c(40,24,12)+
s(40,24,20)s(24,32,28)*s(48,48,20)+
s(48,24,12)s(24,16,20)s(24,24,20)*+
s(40,40,20)s(16,48,20)+c(32,40,12)-
s(48,32,20)s(24,24,28)t(40,32,20)-+
s(40,32,28)s(32,48,20)-c(40,32,20)*
t(32,32,28)t(24,32,20)c(40,24,20)+*
t(40,40,20)c(16,48,12)c(32,40,12)++
s(24,32,28)t(32,40,28)s(40,16,20)--
s(24,32,28)c(24,24,20)*s(32,48,20)-
s(40,24,28)s(16,24,20)-c(32,32,28)*
s(24,32,20)t(32,24,20)+t(32,16,12)-
c(32,24,20)c(40,40,20)c(24,32,20)+*
s(16,16,12)s(16,40,20)s(16,48,20)*+
s(24,40,20)s(8,40,12)-t(32,32,20)+
s(24,24,20)s(24,32,20)*t(48,56,12)+
t(32,48,28)s(16,40,20)s(24,32,20)*+
s(32,8,12)t(48,16,12)+t(40,24,20)+
c(40,40,20)s(48,32,20)s(40,40,12)--
s(40,48,20)t(16,24,12)+s(32,24,12)+
c(32,32,28)s(24,24,28)*c(16,24,12)-
t(40,32,20)s(24,32,28)c(40,40,20)-+
s(32,40,20)s(32,16,20)+c(24,32,12)-
c(24,24,12)t(48,56,12)+t(32,32,20)+
s(24,40,28)c(24,32,20)*s(32,40,28)*
s(24,32,20)s(48,16,12)+s(40,24,28)*
s(40,40,28)c(40,40,20)t(32,40,28)+*
s(32,32,12)t(40,40,20)+c(40,24,20)+
t(24,24,20)s(40,40,28)s(24,24,12)-+
c(40,24,12)s(24,40,20)s(32,48,20)*+
t(32,40,20)t(24,32,28)s(40,32,28)*+
t(24,48,28)c(40,32,20)-s(32,24,28)+
s(24,40,28)s(8,40,12)-c(16,16,12)-
c(32,40,20)c(40,40,12)-t(48,16,12)+
s(24,40,28)s(48,48,20)c(40,32,20)*-
s(32,16,20)s(8,16,12)+s(48,16,12)+
s(24,40,28)t(24,24,12)-s(24,32,28)*
t(32,48,28)c(24,48,12)-c(24,40,12)+
s(40,16,20)s(40,24,12)-c(40,32,12)+
s(32,32,28)t(32,24,12)-t(24,40,20)-
s(40,24,20)c(48,48,12)+t(40,48,12)-
c(32,32,20)s(32,32,28)s(24,32,28)**
s(40,40,28)t(24,48,28)+s(24,32,28)*
s(40,24,28)s(48,24,20)s(24,40,28)--
s(40,40,20)s(24,32,28)*t(24,40,28)+
s(16,48,20)c(24,24,20)-s(32,40,12)+
t(48,40,12)c(48,16,12)+c(48,48,12)+
c(32,32,20)t(24,48,12)c(32,16,12)+-
s(32,40,28)s(40,40,28)s(48,40,12)-*
s(40,24,28)c(32,32,20)t(32,48,28)*-
c(16,16,12)t(32,32,28)+t(24,48,20)-
c(40,24,20)t(48,16,12)-s(16,32,20)-
s(40,32,12)s(32,16,20)+t(48,32,12)-
s(40,24,20)s(40,40,28)+t(32,32,28)*
s(32,48,20)c(32,40,20)s(16,24,20)-+
s(24,24,28)t(24,40,28)*t(40,40,20)+
s(24,24,20)t(24,32,20)-s(16,40,20)+
s(40,24,12)t(32,32,12)c(24,48,12)++
t(24,40,28)s(48,32,20)s(40,40,28)*-
t(48,40,12)s(48,48,12)+s(40,32,20)+
s(32,40,28)t(24,48,28)c(40,40,20)*-
c(32,32,28)s(24,40,28)t(32,32,28)*-
s(40,48,20)t(40,48,12)-t(40,32,20)+
c(32,40,20)c(40,40,20)*c(48,24,12)+
c(32,32,20)c(40,40,20)*c(48,48,12)+
s(40,32,20)c(32,32,20)t(24,40,20)*+
c(40,24,20)s(32,48,12)+s(24,16,20)-
c(40,32,20)c(40,24,20)*c(40,48,12)-
s(24,40,20)s(16,16,12)+t(24,24,12)-
s(32,32,28)s(32,16,20)*s(24,16,20)+
s(40,40,28)t(24,24,20)s(24,32,20)*-
c(24,32,20)s(24,48,12)-s(8,16,12)+
c(32,32,28)c(32,32,20)s(40,40,20)*-
s(40,16,12)s(32,24,28)s(24,32,20)*+
s(48,40,12)s(40,24,20)s(48,24,20)*+
c(24,40,20)s(24,40,28)c(40,24,20)-*
t(32,48,28)s(24,40,20)s(24,32,20)*+
s(24,24,28)s(32,24,28)*c(16,40,12)-
s(40,24,28)t(24,32,12)-s(24,24,28)+
s(40,32,28)t(32,16,12)-s(40,40,28)*
s(24,32,28)s(16,16,12)-c(40,40,12)-
s(24,40,28)s(24,32,20)s(24,48,12)--
t(24,32,28)s(48,8,12)+c(40,48,12)-
s(40,32,28)s(32,16,20)s(32,48,12)+-
c(32,16,12)s(24,32,20)c(32,24,20)*+
s(40,16,12)c(24,32,20)c(24,40,20)*+
s(16,16,12)s(32,32,28)c(48,24,12)-+
s(40,40,28)t(32,40,28)s(16,40,20)*-
t(24,48,20)s(48,32,20)+c(40,40,20)*
s(32,32,28)s(32,40,28)*c(40,40,12)-
s(40,32,28)c(40,40,20)c(32,24,20)*-
c(32,24,12)t(32,40,20)t(40,32,20)++
t(24,56,12)s(48,48,12)+c(16,32,12)+
t(40,32,20)c(32,24,20)*c(40,48,12)+
s(24,32,28)c(32,24,20)c(24,24,12)--
s(32,24,20)s(32,40,28)*t(40,24,20)+
t(48,24,12)t(32,48,28)c(24,40,12)++
s(24,16,12)c(40,40,20)+s(40,24,28)*
c(32,48,12)s(24,24,20)s(40,32,28)*+
c(32,32,20)s(16,24,12)-t(48,32,12)-
c(32,16,12)c(32,32,28)s(32,24,28)-+
s(32,32,28)t(24,40,12)-s(32,16,20)+
s(48,48,20)t(48,32,12)-s(48,16,12)+
s(40,32,28)t(24,40,28)c(24,32,20)*-
c(16,48,12)t(16,16,12)t(48,40,12)++
c(16,40,12)s(32,32,20)s(16,48,20)-+
c(40,48,12)c(24,24,20)+c(16,48,12)+
t(32,32,28)s(24,32,28)c(24,40,20)--
s(40,24,28)s(32,32,28)s(16,40,12)-*
t(24,48,28)t(24,32,28)t(16,24,12)-+
s(40,24,28)s(40,40,20)c(24,32,20)--
c(40,32,20)s(32,40,28)*c(16,40,12)+
t(24,48,28)c(32,24,20)s(40,40,20)*+
s(24,24,28)s(16,8,12)-c(16,16,12)+
s(48,16,20)c(32,40,20)-c(40,16,12)+
c(32,32,28)s(40,16,20)c(40,24,20)+*
c(24,40,20)s(24,16,20)s(32,24,28)*+
c(40,24,20)c(48,40,12)s(48,16,20)+*
t(24,24,20)c(24,40,12)-s(16,16,20)+
s(40,24,28)t(16,16,12)s(48,24,20)+*
s(32,24,28)c(32,32,28)s(16,32,12)-*
s(40,8,12)s(24,40,20)+s(32,40,12)-
c(40,32,20)s(48,40,20)*s(40,16,12)+
t(24,48,28)s(24,48,20)*t(32,24,20)+
s(32,24,28)s(16,40,12)s(24,24,20)+*
s(40,40,28)t(40,32,20)c(40,16,12)--
s(32,32,28)s(24,32,12)-s(24,16,12)-
s(48,32,20)s(40,40,28)*t(40,56,12)+
t(24,48,28)s(32,24,20)s(24,48,20)+*
s(32,48,20)c(32,32,20)*s(40,8,12)+
s(16,16,12)s(40,24,28)s(48,16,20)*+
s(8,16,12)t(32,48,28)+s(24,16,20)-
t(16,16,12)t(24,48,28)t(24,32,12)-+
c(32,32,28)s(16,40,20)c(32,32,28)*-
s(32,24,20)s(48,16,12)-s(24,40,28)+
s(40,40,28)s(16,24,12)s(32,32,12)+-
s(32,32,28)c(32,24,20)s(16,48,20)-*
s(32,32,28)t(32,40,20)c(40,24,12)--
t(48,56,12)s(32,48,20)+t(40,40,12)-
t(32,40,28)s(16,32,20)s(40,40,20)+*
s(40,32,28)s(48,48,20)-t(24,48,12)-
c(32,24,20)t(32,16,12)t(16,32,12)+-
c(40,16,12)c(32,40,20)+t(32,32,20)-
c(16,16,12)c(40,24,20)s(24,40,28)*+
c(40,32,20)s(24,40,28)t(40,24,20)--
s(40,24,28)c(32,32,28)t(24,48,20)-*
t(24,40,28)s(48,32,20)c(40,32,20)*-
s(32,40,12)s(16,32,20)+s(8,48,12)-
s(24,32,28)c(40,32,20)s(40,40,20)--
t(40,40,12)s(48,24,20)+t(24,40,28)-
t(24,48,28)c(40,40,20)s(48,32,20)*+
s(24,24,28)s(24,24,12)-s(8,8,12)-
s(32,32,28)s(24,32,12)-c(48,32,12)-
s(24,24,20)t(48,56,12)+s(32,40,12)+
c(24,24,20)t(32,40,28)-s(32,40,20)+
s(24,40,28)s(24,32,12)-c(32,32,28)*
t(16,32,12)c(32,40,20)c(32,40,12)-+
c(32,32,28)c(40,40,12)-s(40,40,20)-
c(40,32,20)c(24,24,20)s(24,40,20)--
c(32,24,12)s(48,40,20)c(40,32,20)*+
s(40,8,12)s(32,32,28)+s(40,32,28)*
t(32,48,20)t(24,40,28)*s(32,32,20)+
s(40,24,28)s(32,32,28)*c(40,24,20)*
s(40,32,28)c(32,40,20)s(16,32,12)+*
t(32,32,28)s(40,32,28)*c(24,16,12)+
s(16,32,20)s(32,32,20)-c(32,48,12)+
s(48,24,20)t(40,32,12)-s(24,32,12)+
t(24,40,28)t(24,40,20)-s(24,48,20)+
c(32,32,28)s(24,24,28)t(32,40,20)--
s(32,32,28)s(8,48,12)+c(40,40,20)-
t(32,48,28)c(32,32,28)s(48,48,20)*+
s(24,48,20)t(24,48,12)-s(40,32,12)+
s(48,24,20)s(32,24,28)*s(24,48,12)+
s(16,48,12)t(24,48,28)s(32,48,20)*+
s(32,32,28)c(16,32,12)-c(40,32,12)-
s(40,40,28)s(24,32,20)c(16,48,12)--
s(16,32,12)t(32,40,28)t(24,40,20)-+
t(24,48,28)c(24,40,12)-t(40,48,20)+
s(40,24,28)t(24,16,12)-c(32,32,28)*
c(24,24,12)c(32,40,12)c(24,32,12)++
c(32,32,20)t(24,16,12)-t(24,24,12)-
s(40,32,28)s(24,32,20)s(48,40,20)--
s(32,32,20)s(40,48,20)+c(32,40,12)-
s(24,40,28)s(16,40,12)-t(32,40,12)-
c(40,24,20)s(16,40,20)s(32,32,28)+*
c(24,24,20)s(32,40,28)c(40,24,20)*-
c(32,24,20)s(32,8,12)-s(40,40,12)-
s(48,24,20)c(48,40,12)-s(48,48,12)+
t(40,24,20)s(24,24,20)t(24,32,20)*+
s(24,24,28)c(32,24,20)s(40,16,12)-*
s(24,32,28)c(24,40,20)*s(40,16,20)-
s(24,32,20)t(24,16,12)c(32,40,20)++
t(32,48,20)s(24,24,28)t(24,32,12)-+
s(32,24,20)s(32,40,28)*t(24,40,28)+
s(40,40,20)s(24,48,12)+c(40,16,12)+
c(32,32,28)c(48,32,12)-t(32,32,28)*
s(48,32,20)s(24,24,28)+s(48,48,20)-
c(32,40,20)t(24,48,12)-t(32,40,12)-
s(24,40,28)c(32,40,20)*c(48,32,12)+
s(16,16,20)s(24,32,12)+s(40,16,20)+
s(32,16,20)s(24,16,20)*s(40,16,20)+
s(32,32,28)s(32,40,20)s(32,16,20)--
s(24,24,28)s(32,32,12)-c(40,32,20)-
t(24,16,12)t(40,40,20)+s(16,48,12)+
t(32,16,12)t(16,32,12)+t(24,48,28)+
c(24,32,20)s(32,40,28)c(48,32,12)-*
c(32,32,20)s(40,32,28)t(32,16,12)-*
c(32,24,20)s(24,40,20)t(32,40,20)--
c(32,32,28)s(48,48,12)-t(40,40,20)-
t(32,48,28)c(32,32,20)+s(16,32,20)-
t(32,48,28)t(40,40,20)c(32,32,20)*+
t(24,48,20)s(32,16,20)s(48,16,20)*+
c(32,32,12)c(16,16,12)s(40,16,20)++
c(32,32,28)s(24,32,28)t(24,48,28)*-
t(32,24,20)s(24,16,12)-t(32,40,28)+
s(8,8,12)t(24,40,12)s(40,24,20)++
t(40,40,20)s(48,32,20)+c(40,16,12)-
s(24,24,28)c(32,32,20)t(32,40,28)--
s(32,32,28)t(24,56,12)+c(24,24,20)*
s(24,40,12)t(32,56,12)+s(48,16,20)+
c(24,32,20)s(24,48,20)+s(16,48,20)-
c(24,32,12)t(24,48,12)+s(8,40,12)+
s(32,16,20)c(40,40,20)s(24,48,12)-+
c(16,40,12)c(32,24,20)s(32,16,20)*+
c(32,32,20)s(48,32,20)*s(48,24,20)+
s(48,24,20)s(48,48,12)+s(40,24,28)*
t(24,48,28)s(24,24,20)s(32,40,12)--
s(16,24,20)t(32,16,12)+t(24,40,20)-
c(40,32,20)t(48,56,12)+c(32,40,20)*
c(40,32,20)c(40,40,20)+t(48,48,12)-
s(40,40,20)s(48,40,20)*t(24,32,20)+
c(32,24,20)s(40,16,20)s(40,32,20)*-
s(40,40,28)c(24,32,20)*t(16,24,12)+
t(32,40,28)c(24,40,20)t(40,24,12)+*
s(40,48,12)s(16,24,12)+s(48,16,12)+
t(48,48,12)s(40,16,20)+t(48,48,12)-
s(24,40,20)s(32,32,20)+t(24,40,28)*
s(40,16,20)s(24,16,20)+t(24,16,12)-
t(32,48,28)s(32,40,28)s(32,16,20)-*
t(32,32,28)s(32,24,28)t(48,32,12)-*
s(24,32,28)s(16,16,20)-t(40,48,20)-
s(24,40,28)s(32,24,28)c(40,32,20)--
s(40,32,28)t(24,40,28)s(16,40,20)*-
c(40,16,12)s(16,8,12)+t(24,16,12)+
s(24,24,28)s(24,40,28)s(8,48,12)-*
t(16,24,12)c(32,40,20)s(16,32,20)-+
c(32,24,20)s(24,16,12)s(16,16,12)++
s(48,48,20)s(40,40,20)*c(16,48,12)+
t(48,48,12)t(32,32,28)+s(24,24,12)-
s(16,40,20)c(16,48,12)-s(40,8,12)+
s(8,16,12)t(32,48,28)t(24,24,20)-+
c(24,40,20)c(40,32,20)s(24,24,20)--
s(24,48,20)s(8,40,12)-t(48,32,12)+
s(32,40,20)s(24,24,28)+c(40,16,12)-
t(24,48,28)s(16,40,20)+s(40,40,12)+
t(40,24,20)s(40,16,12)+s(40,48,20)+
s(40,24,28)s(8,16,12)+t(32,32,28)*
s(24,24,28)c(32,24,20)s(32,32,28)+*
t(24,48,20)s(40,40,28)c(32,24,12)-+
c(32,32,20)t(40,48,20)c(32,32,28)*-
t(48,16,12)c(16,40,12)+t(24,32,28)+
c(16,40,12)s(32,24,28)+c(16,40,12)-
s(32,24,20)t(32,16,12)-s(24,16,20)+
s(48,40,20)s(40,48,20)*t(40,24,20)+
t(24,40,28)s(16,16,20)s(16,32,20)*+
s(24,32,28)c(24,40,20)*s(32,40,28)*
s(32,40,28)c(32,32,20)s(48,32,12)-*
t(24,40,28)s(32,32,20)t(24,24,12)-+
s(24,32,20)t(24,32,28)*s(48,40,12)+
s(48,40,20)c(24,40,12)+s(24,40,12)-
s(24,40,28)s(32,24,28)c(16,40,12)--
s(24,40,28)t(24,32,28)*t(24,40,28)+
s(8,16,12)t(24,16,12)s(40,40,12)++
t(40,32,12)s(32,48,20)+s(40,24,12)-
s(48,16,20)t(24,40,28)+s(32,32,12)-
s(48,16,20)s(40,32,28)*s(24,32,28)+
c(24,32,12)c(48,16,12)+t(40,24,12)+
s(40,24,12)c(24,24,20)c(40,32,12)-+
t(24,48,20)t(24,40,28)*c(48,32,12)+
s(16,24,12)t(24,24,20)+c(24,48,12)+
s(24,16,20)s(24,24,20)*s(32,40,12)+
t(16,56,12)s(32,32,28)c(24,40,20)-+
c(32,32,20)t(24,40,28)s(40,40,20)*-
t(32,32,20)c(40,40,20)t(24,48,28)-+
t(24,32,12)s(48,32,20)+s(32,24,28)+
t(48,56,12)c(24,24,20)+s(16,24,12)-
t(48,24,12)c(24,32,20)+s(40,24,28)*
s(32,24,28)s(32,48,20)t(16,56,12)--
t(32,32,28)s(32,40,28)t(24,32,28)--
s(40,32,28)s(32,32,28)s(24,40,12)-*
s(48,40,20)s(40,32,20)*t(24,32,28)+
s(24,40,28)t(40,24,20)-c(40,40,12)-
c(32,40,20)s(32,24,20)s(40,48,20)--
s(24,24,28)s(32,48,12)s(32,16,12)+-
s(24,16,12)t(40,32,20)+s(32,48,12)+
t(24,32,20)c(32,32,20)t(32,48,28)-+
t(24,48,28)t(24,40,28)t(24,32,28)*+
c(24,24,20)t(16,32,12)-s(16,8,12)-
s(32,32,28)s(16,40,20)s(24,48,20)*-
t(24,40,28)c(40,32,20)-s(32,40,28)+
s(24,32,28)s(16,24,12)-s(16,48,12)-
t(32,32,20)s(40,24,28)s(48,16,20)-+
s(24,32,12)s(40,16,20)+c(32,24,20)*
t(40,56,12)s(32,24,28)+s(48,16,12)-
t(24,40,28)t(24,40,20)-c(24,16,12)+
t(24,16,12)s(32,48,20)+t(32,24,20)-
s(24,32,28)s(32,48,12)-t(32,24,12)-
s(40,24,28)s(32,24,20)t(24,24,20)*-
s(24,40,20)t(48,48,12)+t(16,40,12)-
c(32,40,20)s(32,32,28)*s(24,40,28)*
t(24,48,28)s(48,40,20)-c(40,48,12)-
t(40,16,12)s(32,40,28)c(24,24,12)-+
s(32,40,28)s(32,40,12)-c(40,40,12)-
s(24,40,28)c(40,32,20)c(24,40,12)--
t(16,40,12)s(32,32,20)+c(40,16,12)-
s(32,24,12)s(24,40,12)s(48,32,12)++
t(24,48,28)c(40,32,20)-s(32,24,28)+
t(32,32,28)s(16,8,12)t(16,56,12)++
c(40,32,20)s(48,8,12)+s(16,24,20)-
t(32,40,28)t(24,48,28)-s(16,16,20)+
s(24,40,28)s(48,24,20)c(40,32,20)*-
s(16,48,20)s(40,40,28)+c(40,40,12)-
c(16,40,12)s(24,32,28)s(40,24,20)*+
s(48,40,20)c(24,32,12)+s(32,32,28)*
c(24,32,20)s(32,16,12)c(48,48,12)+-
c(32,24,12)s(48,32,20)s(32,40,12)-+
c(32,32,20)t(24,48,20)+s(40,32,28)*
t(24,48,12)t(24,32,28)s(16,40,12)-+
s(24,32,20)s(32,8,12)+s(32,24,28)*
s(48,32,20)t(24,16,12)+s(32,48,20)-
c(32,32,28)s(24,32,28)s(40,24,20)-*
t(32,40,28)s(32,24,28)c(24,40,20)--
s(32,40,28)c(32,24,12)s(8,16,12)++
s(16,24,20)t(32,48,28)+s(32,24,20)+
t(40,32,20)t(24,48,28)+s(16,48,20)+
c(40,32,20)s(24,32,20)s(32,24,20)*-
s(40,16,12)t(16,56,12)+t(32,32,20)+
t(32,48,28)s(32,32,20)-s(40,40,28)+
c(24,48,12)t(32,32,28)+s(16,16,20)-
c(32,32,28)s(16,40,20)*c(16,48,12)+
t(24,48,28)t(16,32,12)s(40,32,12)+-
t(40,48,20)t(32,40,20)+t(32,24,20)+
c(32,24,20)t(24,32,28)c(40,40,20)--
c(40,40,20)s(48,24,12)-s(32,40,28)*
s(16,16,20)s(48,32,12)+c(32,40,20)-
s(40,24,28)c(40,40,20)c(32,24,20)*-
s(24,8,12)s(32,48,20)t(24,48,28)*+
s(24,32,28)s(24,32,20)s(24,48,20)*-
s(32,32,28)s(24,32,20)c(24,40,20)*-
t(16,56,12)s(16,16,12)c(40,24,12)++
t(32,48,28)t(32,32,28)s(32,16,20)*+
s(24,40,28)t(32,48,28)c(32,32,28)*-
c(40,40,20)s(24,24,28)+c(32,32,20)-
t(32,32,20)t(24,48,28)t(40,24,12)++
s(40,32,28)s(8,32,12)c(24,24,20)+-
s(32,32,28)t(16,24,12)-s(24,16,20)-
c(24,40,20)s(32,24,20)t(24,32,28)+*
s(40,24,28)c(32,32,20)s(32,24,28)**
c(40,48,12)c(32,24,20)+s(24,32,28)*
s(24,24,28)s(32,24,28)*s(24,32,28)*
c(24,24,20)s(24,16,12)-s(32,40,12)+
s(24,32,20)s(8,8,12)+s(16,48,20)+
c(32,16,12)s(48,24,20)s(48,8,12)-+
s(32,8,12)c(40,24,12)c(32,48,12)++
s(32,24,28)s(16,40,20)t(32,40,28)*-
s(16,24,20)t(24,48,28)s(32,40,12)-+
s(24,32,28)s(32,32,28)s(24,24,12)-*
s(40,32,28)t(40,40,12)-s(48,16,12)-
s(32,32,20)s(48,8,12)+s(24,48,12)-
s(40,32,28)s(32,48,12)s(24,24,12)+-
s(24,32,28)s(32,32,20)s(24,40,28)*-
s(24,32,28)s(16,32,12)-t(40,48,20)-
s(40,32,28)s(32,32,28)*s(48,24,12)-
c(24,40,20)s(40,24,28)-s(40,32,12)+
t(32,40,28)s(40,24,28)*s(40,40,20)+
s(16,32,20)t(32,32,28)*s(48,40,20)+
t(24,32,28)t(24,48,12)s(48,40,12)++
c(32,32,20)s(40,32,28)c(32,24,12)-+
c(40,40,12)t(24,48,28)+s(24,40,28)*
c(16,48,12)t(24,40,28)c(40,32,20)*+
c(32,32,28)s(48,32,12)-s(16,48,20)-
s(24,24,28)c(32,32,20)t(48,24,12)-*
s(40,16,20)t(24,24,20)+s(24,24,12)-
t(24,40,28)c(24,24,12)-c(48,16,12)+
s(16,48,20)t(32,40,20)-s(24,32,12)+
s(24,32,28)s(40,32,12)-t(16,48,12)-
s(40,48,20)t(24,32,28)+t(32,48,20)-
s(16,32,12)t(40,24,20)s(40,48,20)-+
s(24,40,28)s(24,32,28)s(24,48,12)-*
s(24,40,28)t(32,48,28)t(32,40,12)--
t(40,24,20)s(48,24,20)s(48,16,20)*+
c(40,24,20)s(24,48,12)+t(24,24,12)-
s(16,24,20)t(32,32,20)+s(16,16,12)-
t(16,24,12)s(32,32,28)s(16,32,20)-+
t(32,48,28)c(24,40,20)*s(40,24,12)+
s(24,32,28)s(24,32,20)s(40,40,12)--
s(16,40,20)s(8,32,12)-s(40,32,28)+
s(32,32,28)c(48,32,12)s(24,24,20)+*
t(32,32,28)s(32,8,12)s(40,40,28)+*
c(24,32,20)t(24,40,28)*s(8,40,12)+
s(40,24,28)c(24,16,12)s(48,48,12)++
s(40,32,28)c(24,16,12)-c(48,16,12)-
t(32,32,28)s(48,40,20)c(24,32,20)--
c(32,32,28)c(24,24,12)-s(32,32,28)+
s(40,32,12)s(40,40,28)c(32,40,20)-+
c(24,40,20)s(32,32,28)s(24,16,12)-*
s(24,32,28)s(40,32,12)-c(40,40,12)-
t(32,32,28)s(48,24,20)t(40,16,12)--
s(32,48,20)s(24,24,28)+c(16,40,12)-
s(48,24,20)t(24,32,20)+c(32,24,20)*
s(32,40,28)c(24,40,20)s(16,40,20)*-
c(32,32,20)s(32,48,20)s(40,40,28)*+
s(40,24,28)s(24,16,20)s(32,40,28)+*
s(40,40,28)s(32,48,12)t(32,16,12)+-
s(40,40,28)t(24,32,20)t(32,48,20)--
s(24,32,28)c(16,32,12)-s(32,32,28)*
c(24,40,20)s(16,16,20)c(24,24,20)*+
s(16,16,20)t(32,32,28)t(24,32,20)-+
c(32,40,20)t(24,48,28)s(24,32,28)+*
s(24,24,28)s(32,8,12)-t(24,48,20)-
s(24,32,28)t(16,56,12)+s(24,24,20)-
s(24,24,28)c(24,40,12)s(32,48,20)+-
c(32,32,28)t(32,48,28)t(24,40,20)--
c(32,40,20)s(48,48,20)c(40,32,20)*-
s(24,16,20)t(24,32,28)s(8,40,12)-+
t(40,32,20)s(16,40,20)+s(32,32,28)*
s(16,24,12)c(24,40,20)t(24,24,20)-+
s(8,24,12)s(24,24,20)s(24,16,20)*+
s(40,40,20)s(48,48,12)s(40,24,20)++
s(40,40,20)c(32,24,20)s(32,16,20)*+
t(24,40,20)s(48,48,20)+c(40,40,20)*
s(40,32,28)s(24,32,20)-c(32,48,12)+
c(24,24,20)s(48,48,12)s(8,32,12)+-
s(24,32,28)s(24,40,20)t(24,32,20)--
s(40,32,28)c(40,24,20)*t(40,56,12)+
s(32,40,20)c(16,48,12)+s(40,40,28)*
s(40,24,28)c(40,32,12)-c(32,24,12)-
t(48,40,12)s(48,24,20)+c(32,24,12)+
s(40,24,28)s(32,40,20)s(24,48,20)*-
s(32,40,28)s(24,24,28)-c(32,32,12)+
t(24,32,20)s(16,32,20)+t(40,24,20)-
s(32,24,28)t(24,16,12)-s(40,32,28)*
c(24,40,20)s(16,16,20)s(24,16,20)*-
c(32,24,12)t(40,48,20)c(24,40,12)-+
s(24,24,28)s(32,32,28)s(40,40,20)*-
s(32,24,28)c(24,24,20)+t(32,32,28)*
s(40,40,28)t(40,48,20)s(32,24,28)--
c(24,40,12)s(32,32,20)t(24,24,12)-+
s(16,32,20)c(40,32,20)+t(40,48,20)+
s(32,24,28)c(32,32,20)*t(40,24,12)-
c(32,24,12)t(32,48,28)+t(40,24,12)-
s(32,40,28)s(40,32,12)t(24,32,28)+*
c(32,48,12)s(32,16,12)+t(16,40,12)+
s(24,40,28)c(40,32,20)+t(24,48,28)*
c(40,32,12)t(48,40,12)s(8,16,12)++
s(32,32,28)s(32,40,28)*c(32,40,20)*
c(32,24,20)t(48,32,12)-t(48,16,12)-
s(24,40,28)c(24,32,20)s(16,48,20)*-
s(16,48,20)s(40,24,28)c(40,32,20)-+
s(24,8,12)t(40,56,12)t(32,24,20)++
s(40,16,12)s(8,16,12)t(40,48,12)++
s(24,40,28)t(24,48,12)-t(24,48,12)+
c(32,32,20)t(24,24,12)-s(48,40,12)-
t(32,32,28)s(40,24,20)-c(48,24,12)+
c(40,24,20)s(40,40,28)*s(32,48,20)+
c(40,32,12)s(24,24,20)s(32,16,12)-+
t(32,32,12)s(40,16,12)s(32,48,12)++
s(24,32,20)t(40,48,20)+c(32,40,12)-
s(8,24,12)c(32,24,20)c(40,16,12)-+
s(40,40,28)s(16,32,20)t(40,48,20)+*
c(24,32,20)c(40,40,12)t(24,56,12)+-
c(16,24,12)s(48,24,20)+c(40,24,12)-
s(16,24,20)s(32,32,12)-s(48,32,12)+
s(32,40,28)s(24,32,20)+s(32,32,28)*
s(40,48,20)s(32,48,12)s(16,32,20)++
s(16,24,12)c(40,40,20)+s(40,40,12)-
s(40,40,28)s(40,16,20)s(40,24,20)*-
c(32,24,20)c(48,24,12)s(24,32,20)+*
s(40,32,28)s(32,24,28)*t(24,48,12)+
s(24,24,28)s(48,32,20)c(32,24,20)*-
s(24,24,28)s(24,40,28)+s(32,40,28)*
t(24,32,20)s(32,16,20)+s(40,48,20)-
c(32,40,20)s(32,32,20)s(32,40,20)+*
s(32,48,12)t(40,24,20)s(8,32,12)++
t(24,40,28)s(32,32,20)t(32,48,28)+*
s(32,48,12)s(16,40,20)+t(24,32,12)-
s(24,48,20)t(32,48,12)-t(40,40,12)+
s(48,48,12)c(32,40,12)+t(40,40,20)+
s(24,32,28)s(8,8,12)c(24,40,20)+*
s(32,32,28)s(40,16,12)-t(32,40,12)-
t(24,48,28)s(24,40,20)*s(40,40,20)+
s(24,32,28)t(32,32,20)s(16,16,20)--
s(24,24,28)c(16,32,12)-c(32,32,28)*
t(24,48,20)t(24,32,28)s(40,24,28)-+
t(40,24,20)c(40,32,20)t(24,40,28)*+
s(32,32,28)s(40,40,28)c(40,24,20)*-
c(40,24,20)s(24,40,20)s(16,24,20)--
c(40,24,20)c(32,40,12)s(24,40,12)+-
t(24,40,28)c(24,24,20)*t(24,48,20)+
c(40,24,20)s(48,24,20)t(32,32,12)-+
t(40,32,12)s(16,40,20)+t(40,32,20)-
s(32,48,20)c(32,32,20)c(40,40,20)*+
s(32,32,28)s(24,24,20)t(32,48,28)--
s(24,40,28)s(16,32,20)s(32,40,12)+*
s(40,24,20)s(48,24,20)*s(24,40,28)+
s(32,24,28)t(24,40,28)*s(24,40,20)+
s(16,16,12)s(48,40,20)t(48,32,12)-+
s(24,32,28)s(24,16,20)c(24,16,12)--
s(32,40,20)s(48,40,20)s(40,48,12)-+
c(48,24,12)s(32,32,20)+c(32,24,20)*
s(32,24,28)s(16,16,12)-s(16,48,20)-
t(32,40,20)s(32,16,20)s(16,40,20)++
c(16,16,12)s(16,48,20)c(24,40,20)*+
s(32,40,28)c(32,32,28)t(32,24,20)-*
c(40,40,20)c(32,40,12)-c(48,48,12)+
t(24,40,28)c(24,16,12)-c(32,24,12)-
s(40,24,28)c(24,24,20)+c(32,16,12)-
s(24,24,28)s(16,40,20)s(16,48,20)*-
c(32,32,28)t(24,48,28)s(32,40,28)*-
t(24,48,28)t(24,24,20)+t(24,24,12)-
s(32,16,20)t(40,24,20)-c(48,24,12)+
s(24,16,12)t(32,24,20)t(16,48,12)++
s(24,8,12)c(16,24,12)+c(32,40,20)+
s(40,24,28)s(24,40,28)c(40,24,12)-+
c(32,32,28)c(24,40,20)s(32,40,20)*-
s(16,16,20)t(24,16,12)-t(48,56,12)+
c(32,48,12)s(48,32,20)s(48,24,20)*+
s(40,40,20)s(32,40,20)s(24,48,20)*+
s(32,24,28)t(24,24,20)-c(24,16,12)-
t(32,32,28)c(24,24,20)*t(40,32,20)+
c(32,32,28)s(16,16,20)s(24,24,28)*-
s(32,24,28)s(32,24,20)s(40,24,20)*-
s(32,40,28)s(24,40,28)t(16,32,12)-*
s(40,40,28)c(16,16,12)+s(24,24,28)*
t(24,48,20)c(32,48,12)+s(16,8,12)+
c(32,32,28)s(48,32,12)-t(32,32,28)*
s(24,24,28)s(48,32,12)+s(48,40,12)-
c(32,24,20)s(32,32,20)*c(32,16,12)+
s(24,32,28)s(40,24,20)t(32,24,20)*-
s(40,24,28)s(48,40,20)+c(40,40,20)*
c(24,48,12)t(32,32,28)s(32,24,20)*+
s(8,24,12)t(48,16,12)+c(32,24,12)+
s(40,32,28)c(48,32,12)s(24,40,28)+*
c(16,24,12)s(40,40,28)t(40,48,20)-+
c(32,40,20)s(32,48,20)t(48,40,12)+*
t(40,24,20)t(24,32,28)+t(48,24,12)-
t(24,48,28)s(40,32,20)c(32,40,20)*-
s(32,24,28)c(48,24,12)c(32,24,12)+-
s(40,32,12)s(40,24,28)s(32,16,20)*+
t(32,48,12)s(24,8,12)+s(8,48,12)+
s(24,40,28)s(32,32,20)t(32,24,20)*-
c(24,32,20)t(24,48,28)*c(48,40,12)+
s(32,40,12)s(48,48,20)+c(40,40,20)*
t(48,56,12)t(40,32,20)t(32,48,12)++
s(32,32,28)c(32,32,28)t(40,40,20)-*
t(32,24,20)c(32,48,12)+t(40,32,12)-
s(24,24,28)c(40,24,20)s(48,40,20)*-
s(32,32,28)c(32,24,20)s(32,16,20)*-
t(40,24,12)s(48,48,20)t(48,24,12)++
s(24,24,28)t(16,56,12)+s(40,40,28)+
c(32,32,28)t(24,40,20)s(24,32,20)*-
c(32,48,12)s(32,24,28)s(24,40,20)*+
t(32,48,28)s(24,40,28)*s(16,48,12)+
s(40,16,20)c(24,40,12)s(8,40,12)++
c(16,24,12)s(40,32,28)s(32,24,20)-+
t(32,24,20)c(16,16,12)+t(32,40,28)+
s(40,40,28)s(40,24,20)s(48,24,20)*-
t(32,24,20)c(40,32,20)*t(32,40,20)+
t(32,48,28)c(16,48,12)c(40,40,20)+*
s(32,24,28)s(40,40,12)s(16,40,20)+-
s(16,16,20)s(24,16,20)*c(24,48,12)+
s(24,24,28)t(32,32,20)-c(40,16,12)-
s(40,40,20)s(40,24,28)c(24,40,12)++
s(48,24,20)s(24,40,28)-s(40,32,20)+
t(40,48,20)s(16,48,20)-c(48,24,12)+
c(40,24,20)s(24,8,12)+s(40,24,12)-
c(32,32,20)s(40,32,28)*c(24,48,12)-
c(16,32,12)s(40,40,20)s(32,32,28)*+
s(40,16,20)c(24,32,20)s(24,16,20)*+
c(40,24,20)s(32,32,20)+c(48,24,12)-
s(16,24,20)c(32,40,20)s(48,32,20)*+
c(24,40,20)s(40,40,28)+t(24,32,28)*
c(32,40,20)s(32,24,20)s(40,16,20)--
s(24,24,20)c(40,24,12)-s(32,16,12)+
s(24,32,28)s(32,24,20)*s(8,48,12)+
s(40,24,28)s(24,32,20)c(16,32,12)--
t(24,32,20)t(40,56,12)+s(32,48,12)+
s(40,24,28)s(32,24,20)s(24,32,20)--
s(24,32,28)t(32,24,12)-s(16,48,12)-
s(32,32,28)c(40,24,20)+t(24,40,28)*
t(32,32,28)c(48,48,12)+s(40,24,12)-
s(8,24,12)s(40,32,28)+s(40,24,28)*
c(40,40,20)s(32,48,20)*s(8,8,12)+
s(24,32,20)s(32,32,20)*s(40,24,12)+
c(40,24,20)s(32,40,28)*t(24,48,12)+
s(48,16,20)s(40,24,28)s(32,16,20)*+
c(16,16,12)t(40,48,20)t(32,48,28)*+
s(24,32,28)c(40,32,12)-s(40,32,20)-
c(32,40,20)c(24,16,12)+c(24,24,20)*
c(32,32,20)t(24,48,28)*t(40,24,20)+
s(24,40,28)s(16,48,20)c(24,40,20)*-
c(32,40,20)t(48,40,12)-t(40,24,12)-
s(24,40,28)s(40,48,20)-c(24,48,12)-
c(48,32,12)t(32,24,12)+s(16,8,12)+
s(40,40,28)s(48,24,20)s(40,24,12)--
s(32,32,28)t(24,32,20)s(16,24,12)--
s(32,24,28)s(24,32,28)*c(32,32,20)*
t(32,48,28)s(48,48,12)s(8,8,12)+-
s(16,48,20)c(24,16,12)+s(40,40,20)-
s(40,32,28)c(40,40,20)*s(16,48,12)+
s(32,32,28)t(32,40,28)c(48,48,12)+*
c(40,24,20)t(32,48,28)c(40,48,12)--
t(32,40,28)s(32,32,28)*c(24,16,12)-
s(40,24,28)s(40,16,12)c(40,40,12)+-
s(40,40,28)c(32,40,20)s(32,16,20)-*
c(32,24,20)s(16,24,20)*c(16,40,12)+
c(32,40,20)s(32,24,20)s(24,32,28)+*
t(32,40,20)s(40,40,28)t(24,48,28)-+
c(40,40,12)s(40,16,12)+t(32,24,20)+
s(16,24,20)s(24,16,20)c(32,32,20)++
c(16,48,12)t(48,56,12)s(40,32,12)++
s(24,32,28)s(40,24,28)c(24,24,20)*-
s(32,24,28)s(24,32,28)*c(32,48,12)-
s(40,40,28)c(32,32,20)*c(32,16,12)+
c(24,40,20)s(16,24,12)-s(16,32,12)+
s(32,24,12)c(32,40,20)c(40,32,20)*+
s(8,48,12)s(24,24,28)t(32,32,28)*+
t(48,48,12)t(32,48,20)+s(48,40,12)+
t(24,48,28)s(24,40,28)t(32,32,20)*-
t(40,48,20)s(24,32,20)+s(24,32,12)-
s(32,24,28)c(24,32,20)*t(16,16,12)+
s(40,24,28)t(32,48,12)c(32,24,20)+*
s(40,40,28)s(8,16,12)+c(32,24,20)-
s(32,24,28)c(40,40,12)-c(24,24,20)*
c(32,32,28)s(40,24,12)-s(40,32,28)*
s(48,48,20)c(32,32,20)t(16,32,12)-+
t(24,32,28)c(24,40,20)s(24,32,28)**
s(40,32,28)c(24,40,20)s(24,32,20)*+
c(40,24,20)s(32,24,28)*s(48,16,12)-
s(24,32,20)c(32,32,20)+t(24,40,20)-
s(24,32,28)s(8,16,12)-s(32,16,20)-
s(24,40,28)s(32,24,28)t(32,48,12)+*
s(40,40,28)s(40,16,20)s(48,40,20)+*
s(32,24,28)c(40,24,20)*t(24,48,20)+
c(24,16,12)s(32,40,20)s(24,32,20)*+
s(16,32,20)t(40,40,20)+t(16,24,12)-
s(40,24,20)s(40,24,28)s(32,40,20)*+
c(24,40,20)c(48,48,12)+t(40,48,12)-
s(24,40,28)t(32,40,20)t(32,32,28)*-
s(24,24,12)s(48,40,20)c(24,40,20)-+
c(24,32,12)s(48,40,20)s(40,40,20)*+
s(24,32,20)s(32,40,20)+s(24,16,12)-
c(24,40,20)s(8,32,12)-c(16,32,12)-
c(32,32,20)s(40,24,12)-s(32,48,12)+
s(40,32,28)s(24,40,20)*s(16,32,20)+
s(40,24,12)s(40,16,12)+t(24,24,20)+
c(32,32,28)c(24,32,12)c(40,32,20)+-
s(32,32,28)t(16,24,12)-s(24,24,20)-
s(24,32,20)s(48,8,12)+s(16,24,12)-
s(40,40,20)s(16,48,12)t(32,48,20)++
c(40,40,20)s(40,24,20)c(24,32,20)*-
c(40,48,12)s(24,16,20)+s(40,32,20)+
c(32,32,28)c(32,24,12)-c(40,24,20)-
c(24,24,12)c(40,24,20)+s(32,8,12)-
s(32,40,28)s(48,16,20)-t(32,48,12)-
s(32,24,28)s(24,24,12)c(32,48,12)+-
c(40,40,12)s(32,8,12)+s(24,8,12)+
c(32,32,20)s(16,24,12)-s(32,24,28)*
s(24,40,20)s(40,24,28)s(16,8,12)++
s(8,16,12)s(32,40,28)s(24,40,28)*+
s(16,24,20)s(24,32,28)+s(40,32,12)-
s(16,32,12)t(40,32,12)s(40,48,12)++
c(16,24,12)t(24,40,20)s(24,48,20)*+
c(32,32,28)t(24,56,12)s(24,24,28)+*
c(24,32,20)c(40,32,20)s(40,40,20)*+
c(40,40,12)s(32,16,20)+t(40,16,12)-
s(24,32,28)s(40,16,20)+t(32,48,20)-
s(32,24,28)c(16,32,12)-s(24,24,28)*
s(32,24,28)s(40,24,28)*t(40,48,20)-
c(40,40,20)s(40,24,20)+c(24,32,12)+
s(40,24,28)s(24,24,28)s(24,24,12)--
c(24,48,12)c(40,40,12)+s(16,8,12)+
t(40,24,20)s(48,16,12)+s(24,24,28)+
s(40,24,20)c(24,40,12)+s(40,32,28)*
s(32,24,28)t(48,24,12)-t(24,48,28)+
c(40,32,20)t(48,56,12)+s(32,24,20)-
t(32,24,20)s(24,32,28)*t(24,32,20)+
s(40,48,12)s(40,24,20)t(32,48,28)-+
c(32,40,20)s(16,48,20)t(32,32,20)--
s(32,40,28)s(24,40,28)t(16,48,12)-+
c(32,32,28)s(40,48,12)-c(32,32,20)-
s(32,32,28)s(40,24,28)*t(40,40,20)+
s(24,32,28)s(32,24,20)c(16,16,12)+*
s(24,48,20)s(16,24,20)s(24,16,20)-+
t(32,32,28)s(24,32,28)+s(32,32,20)-
s(48,48,12)t(32,32,28)c(24,40,20)*+
s(40,48,12)c(32,24,12)s(24,48,20)++
s(8,16,12)t(40,56,12)+s(24,32,12)+
s(24,32,28)s(40,48,12)-c(40,16,12)-
s(32,32,28)s(16,40,20)+s(40,40,28)*
s(48,32,12)s(32,40,20)+s(24,16,20)-
c(32,32,28)t(32,24,20)s(32,40,28)*-
s(40,24,28)s(32,40,20)s(32,24,28)*-
c(40,24,20)c(24,48,12)+c(40,16,12)-
s(40,16,20)t(24,40,28)-t(16,56,12)+
s(32,24,28)c(24,32,20)t(32,48,28)--
c(32,32,20)s(32,40,28)*t(24,48,20)+
c(40,40,20)s(24,16,20)+s(24,40,28)*
t(32,32,28)s(40,32,20)+c(32,40,20)*
s(48,32,20)s(16,32,20)s(24,24,12)-+
c(32,40,20)s(24,40,28)t(16,24,12)-*
c(32,32,20)s(32,40,28)s(40,40,28)**
s(24,24,20)t(40,48,12)+t(40,24,20)-
s(40,32,28)s(48,48,20)-c(40,24,20)*
s(40,24,28)s(24,32,28)c(40,32,20)+*
s(40,24,28)s(16,40,20)c(16,48,12)--
s(24,32,28)c(32,32,28)s(24,16,12)-*
s(24,24,28)c(32,32,12)-t(24,48,28)-
c(32,32,28)t(32,48,28)s(24,48,20)*-
c(32,24,20)t(32,32,12)-s(24,40,12)-
s(40,16,20)c(32,40,20)c(40,32,20)-+
s(40,40,28)s(24,24,28)*s(32,16,20)+
t(32,32,28)t(32,48,20)+t(24,40,28)*
s(40,24,28)s(32,48,20)c(24,32,20)*-
c(32,32,20)s(32,8,12)c(40,40,20)+*
t(32,40,20)t(32,56,12)s(40,24,28)++
t(32,40,28)s(32,24,20)s(16,32,20)-+
s(24,48,20)s(40,32,28)s(48,48,20)*+
t(32,56,12)c(24,24,20)s(48,32,20)-+
c(32,32,20)s(48,24,20)s(48,48,20)--
s(32,32,20)t(40,48,20)+s(24,32,28)*
t(24,40,20)t(40,48,20)+s(8,48,12)+
s(32,24,28)c(48,40,12)-c(48,16,12)-
s(40,24,28)s(32,32,28)s(24,32,28)*-
s(32,32,20)c(40,24,20)s(32,24,28)*+
t(40,24,20)t(40,48,20)t(32,40,28)*+
s(32,40,28)s(24,24,20)-t(16,56,12)-
s(40,24,28)s(40,40,12)-s(40,32,12)-
c(40,32,20)s(48,16,20)s(40,16,20)*-
s(40,24,28)c(32,32,28)s(48,24,12)-*
s(48,24,12)s(16,48,12)+s(40,24,28)+
s(40,40,28)s(32,32,28)*t(16,40,12)+
s(40,32,28)c(32,40,20)-c(24,24,20)+
c(40,24,20)s(40,48,20)s(32,40,28)*-
s(32,32,28)s(16,40,20)s(24,32,20)*-
s(24,32,28)t(32,48,28)*s(48,40,20)+
s(32,24,28)s(24,32,28)s(16,16,20)*-
s(40,32,28)s(24,40,20)c(40,32,20)*-
c(24,40,20)c(24,24,20)s(40,40,20)--
s(32,16,20)s(40,24,28)*c(32,40,20)+
c(24,40,20)s(32,40,20)+s(48,24,20)-
s(40,24,28)c(40,24,20)s(48,32,20)+*
s(40,24,28)s(8,16,12)+t(32,48,28)-
c(32,24,12)c(24,40,12)t(16,40,12)++
s(48,48,20)t(40,56,12)-t(24,32,20)+
s(24,40,28)s(24,32,28)*s(24,8,12)+
c(48,24,12)c(32,32,12)s(16,32,20)++
t(24,32,28)t(24,40,28)t(24,48,28)*+
c(24,40,20)s(32,40,12)s(40,32,12)+-
s(24,40,28)c(24,32,20)*c(32,16,12)-
s(32,24,28)s(24,40,20)c(40,40,20)*-
c(24,32,20)s(40,40,12)c(48,40,12)+-
c(24,40,20)s(40,48,20)c(24,32,20)-+
s(40,40,28)s(40,32,28)*s(16,32,20)-
t(40,40,20)t(32,40,28)c(16,40,12)-+
c(32,24,20)c(32,32,20)s(32,24,28)**
t(40,32,20)t(32,32,12)-s(24,32,20)+
s(40,40,28)t(24,32,20)-c(32,32,28)*
s(40,8,12)t(32,24,12)+s(40,32,28)+
t(32,32,20)s(16,48,20)-s(32,16,20)+
s(32,24,28)c(32,32,20)s(48,40,12)-*
c(32,24,20)s(40,24,28)s(32,24,28)**
s(32,40,28)t(32,32,12)-s(24,40,28)*
s(48,16,20)c(24,40,20)s(24,24,20)*+
t(24,40,12)s(24,8,12)s(40,24,12)++
s(32,32,28)c(40,48,12)-t(32,40,20)-
s(32,24,20)c(40,40,20)+c(32,16,12)-
s(24,24,28)c(32,32,20)t(32,32,28)*-
s(16,40,20)t(48,16,12)+c(24,48,12)-
s(40,32,20)t(24,16,12)+c(32,24,20)*
t(24,48,28)s(40,40,28)-c(40,32,12)+
s(40,40,28)c(40,32,20)c(32,24,20)--
c(24,40,20)c(32,32,12)c(32,24,12)+-
c(16,48,12)c(40,24,20)s(48,32,20)*+
c(24,40,20)s(24,24,12)t(24,16,12)++
t(24,40,28)s(24,16,20)s(24,32,20)*-
s(24,24,20)t(24,32,20)s(32,40,28)*+
t(40,48,20)s(48,24,20)+t(40,16,12)-
s(8,16,12)c(32,24,20)t(24,24,20)-+
c(40,32,20)c(32,40,20)s(48,40,20)--
t(24,40,28)s(24,24,28)*s(48,16,12)+
s(16,32,20)t(40,40,20)+s(16,48,20)+
s(32,32,28)c(32,40,20)*s(24,16,20)-
s(32,32,28)s(40,48,20)-s(48,40,20)-
t(16,48,12)s(32,24,28)+c(24,40,20)*
c(32,40,20)c(40,40,12)s(32,48,20)+*
s(40,32,28)t(32,48,28)+c(24,40,20)*
c(40,32,20)s(48,24,20)*t(40,40,20)+
s(40,32,28)t(32,40,20)-c(48,48,12)-
s(40,24,20)s(40,24,12)-t(40,32,20)+
s(40,32,28)s(40,40,28)s(24,40,12)-*
c(32,32,28)s(32,16,20)s(24,32,28)*-
s(16,24,20)s(48,48,20)s(32,48,20)-+
s(40,32,20)s(24,24,12)+t(40,40,12)-
c(24,24,20)t(32,48,20)t(32,24,12)++
c(32,32,28)s(40,32,20)-s(32,40,28)+
c(40,32,20)s(24,48,20)t(24,32,28)*+
s(32,32,28)s(16,48,12)-s(24,40,28)*
s(24,32,28)s(16,16,12)-c(32,32,20)*
s(16,32,20)s(24,40,20)-c(48,48,12)+
s(40,24,28)s(40,16,12)-s(32,40,12)-
s(32,8,12)c(40,48,12)+s(16,16,12)+
s(24,40,28)t(24,32,12)-c(48,48,12)+
s(32,40,28)s(24,40,20)-c(40,32,20)+
c(24,32,20)s(40,24,12)-c(24,40,20)*
s(40,8,12)t(32,48,28)s(40,40,20)-+
t(32,24,20)t(32,48,12)+s(40,16,12)+
s(32,32,28)s(40,24,28)s(40,16,20)--
t(32,56,12)s(40,32,28)t(32,40,28)*+
c(40,32,20)s(24,40,28)t(24,48,28)*-
s(32,40,28)s(16,16,20)+s(40,24,12)-
s(8,8,12)c(40,24,12)c(48,32,12)++
s(32,32,20)t(32,40,28)*s(32,8,12)+
c(32,32,20)c(40,48,12)-t(16,40,12)-
s(32,32,28)s(16,48,20)-c(40,24,20)*
s(32,24,28)s(8,48,12)+c(40,40,20)+
c(32,24,20)c(40,40,20)s(48,32,20)*-
s(32,40,28)s(8,32,12)+s(48,40,20)-
c(32,32,28)s(48,32,20)*t(32,24,12)+
c(32,32,20)s(16,40,20)s(32,24,20)--
s(40,24,28)c(40,24,20)s(24,16,20)+*
c(32,32,28)s(40,40,28)s(16,32,20)-*
t(40,48,20)t(32,48,28)c(40,40,20)*+
s(32,40,28)s(40,40,12)-c(24,40,20)+
c(48,40,12)s(16,24,20)s(24,32,20)*+
s(32,32,28)c(40,24,12)s(24,48,20)+*
s(48,32,20)c(40,48,12)-c(16,32,12)+
t(48,16,12)t(40,24,20)+s(24,32,12)+
s(40,40,28)s(48,32,20)t(32,32,28)*-
s(24,40,28)c(24,32,12)-s(8,40,12)-
s(32,32,20)c(24,32,20)*s(40,32,20)+
c(32,32,20)s(8,24,12)s(32,32,20)+*
s(40,40,20)s(32,32,20)c(48,32,12)-+
s(40,40,20)s(24,32,28)*c(40,16,12)+
c(32,24,20)s(48,24,20)s(32,24,12)--
t(24,48,28)s(16,32,20)-c(48,40,12)+
s(32,40,28)c(48,40,12)-t(16,16,12)+
s(24,32,28)t(32,24,12)-c(24,32,20)*
s(24,40,28)s(32,40,20)s(40,48,20)*-
c(32,32,20)t(24,32,28)-t(32,48,28)+
s(8,24,12)c(40,32,20)s(48,48,12)++
c(40,32,20)s(32,24,28)s(8,8,12)+*
c(24,16,12)s(16,32,12)+s(48,40,20)+
s(24,40,28)c(24,32,12)-c(32,40,12)-
s(32,32,28)t(40,24,20)*s(48,48,12)+
t(32,48,28)s(32,40,12)-c(16,32,12)+
t(32,32,28)s(16,48,20)-c(16,32,12)+
c(32,40,20)t(32,16,12)+c(24,40,20)*
s(32,40,20)c(40,24,20)+s(24,40,28)*
c(32,24,20)s(32,24,28)s(24,32,28)**
s(40,32,28)c(16,16,12)+c(24,24,20)*
t(24,40,20)c(40,32,20)+t(24,40,12)-
s(40,48,20)c(32,40,20)*c(32,32,12)+
c(40,24,20)s(24,16,20)s(24,32,20)*-
c(32,32,20)s(32,48,20)*s(40,8,12)+
s(40,32,28)s(16,48,20)-t(32,24,20)-
s(32,32,12)s(40,48,20)+s(16,24,20)-
c(48,16,12)s(24,32,20)s(40,40,20)-+
s(24,48,20)s(48,24,12)+c(16,48,12)-
t(24,40,28)t(24,24,12)-s(40,32,12)+
s(24,16,12)t(32,32,28)+s(32,24,28)*
c(16,48,12)s(24,24,28)c(32,40,20)*+
s(32,40,28)t(24,40,28)t(24,40,20)--
s(40,32,28)c(40,24,12)t(32,32,28)+*
c(48,40,12)s(32,40,28)t(24,32,20)-+
s(40,24,28)s(24,40,28)t(32,40,28)*+
s(40,32,28)s(40,40,28)s(40,24,28)--
c(16,24,12)s(48,32,20)c(40,32,20)*+
s(40,48,12)s(32,48,12)+c(32,24,20)+
s(16,24,20)t(16,32,12)-s(16,40,20)+
s(32,24,28)c(24,24,20)s(40,24,20)*-
c(32,32,20)s(32,24,20)*s(40,48,12)+
c(32,24,20)t(24,48,20)s(24,32,28)+*
c(48,16,12)s(32,32,20)s(40,32,20)*+
s(32,40,28)s(40,40,28)*c(48,48,12)+
s(24,32,28)c(32,24,20)t(32,48,28)--
s(8,24,12)c(32,32,20)+c(24,40,20)*
c(40,24,20)s(24,32,20)-t(16,48,12)+
c(32,32,28)s(16,32,20)s(48,32,12)+*
s(24,32,28)t(32,32,20)-c(32,40,12)+
s(16,16,12)s(40,32,20)+s(16,24,12)-
s(16,16,20)s(24,40,12)+s(24,32,28)*
c(16,24,12)c(40,32,20)+t(40,16,12)-
s(32,32,20)s(24,32,20)*c(16,40,12)+
t(32,48,28)c(32,40,20)*s(16,48,20)+
s(16,40,20)c(40,24,12)t(40,32,20)++
s(32,48,20)t(32,32,12)+s(40,40,20)+
t(32,24,20)s(32,32,20)+s(24,32,28)*
c(32,32,28)s(48,24,12)-s(40,32,28)*
s(32,32,20)t(40,32,20)+s(40,16,12)-
s(24,40,28)t(24,32,12)s(32,48,20)++
s(16,40,12)c(32,40,20)s(24,48,20)-+
c(48,48,12)c(24,32,20)c(40,32,20)*+
s(16,40,20)s(16,16,20)+t(24,48,20)+
s(16,32,20)t(32,16,12)+t(40,24,20)-
s(40,32,28)s(24,32,28)s(16,24,12)-*
c(24,40,20)t(24,32,12)-t(40,48,12)-
s(24,40,28)s(32,32,28)s(24,48,20)--
s(32,32,28)s(24,32,28)t(24,40,12)-*
s(48,32,12)s(32,24,20)t(24,32,12)-+
c(32,24,20)s(48,32,20)t(40,32,20)-+
s(40,32,12)s(16,24,20)+s(24,24,28)*
s(32,48,12)s(24,32,28)s(16,16,20)*+
t(32,48,28)s(32,48,12)-c(32,40,20)+
s(24,24,20)c(40,32,12)-t(32,24,20)+
s(32,24,28)c(32,24,20)s(24,40,20)+*
t(32,40,28)s(48,32,20)s(48,48,20)*+
s(40,32,28)s(40,40,28)s(48,40,12)-*
c(24,32,20)c(32,32,28)c(32,16,12)-+
s(32,24,28)s(16,8,12)-c(32,32,12)-
c(32,24,20)s(16,16,20)s(32,16,20)*-
s(32,24,28)s(16,40,20)s(24,48,20)*-
c(40,32,20)t(48,56,12)+c(48,24,12)-
c(24,24,20)s(40,16,20)+s(40,32,28)*
t(24,32,28)c(40,40,20)*s(48,48,20)+
c(24,32,20)t(32,16,12)-t(40,48,20)-
t(24,56,12)t(32,40,28)s(16,48,20)-+
c(40,40,20)t(32,40,12)-t(32,56,12)-
s(32,24,28)s(24,16,20)t(32,32,12)+*
c(24,40,12)c(16,16,12)c(48,16,12)++
s(40,24,20)s(24,48,12)c(32,32,12)++
c(32,32,28)s(40,24,12)-c(24,32,20)*
c(24,40,20)s(48,24,20)s(40,32,20)*-
s(24,24,28)t(40,40,20)-c(40,32,20)-
s(16,8,12)s(40,24,28)+s(24,32,28)*
s(24,32,12)t(40,48,20)+s(8,40,12)+
c(40,32,20)s(32,24,20)c(24,40,20)*-
c(40,40,20)t(40,24,20)t(24,40,28)--
s(32,16,12)c(24,40,20)c(16,48,12)-+
s(40,48,12)s(48,24,20)+t(32,48,28)-
s(40,40,20)s(16,40,20)-s(24,40,20)+
s(8,48,12)s(24,24,28)s(16,8,12)-+
t(24,48,28)s(48,24,12)t(24,32,12)+-
s(8,16,12)c(32,32,12)+c(16,40,12)+
s(32,16,20)s(48,24,20)+t(24,40,28)+
s(8,32,12)t(24,40,28)t(32,40,12)-+
s(32,32,20)c(24,40,20)+t(24,24,12)-
s(32,24,20)s(32,48,20)t(40,48,20)++
s(32,40,28)c(48,40,12)s(24,48,12)+-
t(48,56,12)s(32,24,28)+s(16,24,20)-
s(24,40,28)t(40,56,12)t(24,40,20)+-
s(24,24,28)t(32,24,20)-s(24,16,12)-
s(32,48,20)c(16,48,12)-t(24,32,12)+
t(32,48,12)s(48,16,20)c(40,24,20)*+
c(24,40,20)s(32,40,28)c(40,16,12)+*
s(24,16,20)t(16,40,12)s(24,32,12)++
c(40,24,20)s(48,16,20)-t(40,32,20)+
s(32,24,28)c(48,40,12)-t(16,16,12)-
s(32,16,20)s(40,24,28)s(40,40,20)-+
s(32,24,20)s(16,24,12)s(16,16,12)++
t(24,24,20)s(24,32,28)s(16,40,20)*+
s(40,48,20)c(32,40,20)c(40,40,20)*+
t(24,48,28)s(32,24,20)c(24,32,20)*-
c(40,32,20)c(24,32,20)t(32,40,20)*-
s(32,32,28)t(40,40,20)t(32,40,28)*-
c(32,40,20)s(40,40,20)s(40,32,20)+*
c(24,24,20)s(24,32,28)t(40,32,12)-*
s(32,40,20)s(40,24,12)c(40,48,12)++
s(8,40,12)s(40,24,20)s(24,24,28)*+
c(32,40,20)t(48,32,12)t(32,32,28)+*
s(40,16,12)c(40,40,20)s(32,32,20)*+
t(40,16,12)s(40,32,28)c(48,24,12)-+
c(32,32,28)t(32,32,20)s(40,40,28)*-
c(32,32,28)s(40,24,28)*t(32,24,20)-
s(16,48,12)s(32,32,28)s(24,24,20)*+
s(40,32,28)s(40,40,12)-c(48,48,12)-
s(32,24,28)s(24,16,20)*s(24,24,20)+
s(40,40,28)s(24,32,20)s(32,40,12)--
s(40,32,28)s(40,16,20)-s(32,32,12)-
s(24,32,20)s(24,48,12)-c(48,40,12)+
s(24,32,20)s(16,32,20)*c(32,24,12)+
c(24,40,20)s(24,40,28)c(24,32,20)**
c(40,24,20)s(24,48,12)+s(32,24,20)-
t(24,32,20)s(32,32,20)*s(40,40,20)+
s(24,24,28)s(32,16,20)c(24,24,20)+*
t(32,48,12)s(16,16,20)s(24,40,28)-+
c(32,16,12)s(24,32,28)t(32,40,28)*+
s(24,32,28)t(32,40,28)*s(40,32,20)+
s(24,24,28)c(32,48,12)c(24,40,12)+-
c(40,40,20)t(32,32,28)+t(48,32,12)-
s(32,32,28)s(48,32,12)-c(32,24,20)*
s(24,40,28)s(8,48,12)-s(48,48,12)+
s(24,40,28)t(24,24,20)s(24,32,20)*-
s(24,32,28)c(32,40,20)-s(48,40,12)+
s(32,32,28)s(32,48,20)s(32,32,20)*-
s(24,32,28)s(24,32,12)t(32,48,28)+-
s(40,32,28)c(40,32,20)t(16,16,12)+*
s(40,32,28)t(32,24,12)s(40,48,12)+-
s(48,32,20)s(24,40,20)t(24,32,20)*+
t(40,16,12)t(32,48,28)t(24,48,12)-+
c(16,48,12)s(24,32,20)t(24,24,20)*+
t(32,48,20)c(24,24,12)+s(32,40,28)*
s(40,48,20)t(24,48,20)s(8,48,12)-+
s(40,24,28)c(32,32,20)c(16,16,12)-+
t(24,32,28)s(40,24,20)c(40,40,20)-+
s(8,48,12)t(32,40,28)s(40,32,28)*+
s(8,40,12)s(40,24,20)+s(32,24,28)*
s(16,48,12)s(40,40,28)+s(32,32,28)*
s(32,24,20)s(16,32,12)-t(24,24,12)+
c(32,32,28)s(24,40,20)t(16,40,12)--
c(32,40,20)s(24,24,20)+t(32,32,20)-
s(48,48,20)t(32,40,20)-s(40,8,12)+
s(32,24,28)s(32,40,20)s(48,32,20)--
s(48,32,20)s(8,16,12)+s(16,24,20)-
c(32,40,20)t(48,40,12)-s(24,16,20)-
t(24,32,28)s(24,32,20)c(16,48,12)+*
t(24,40,28)c(16,40,12)-t(24,32,28)+
t(32,32,20)s(16,32,12)+s(48,32,12)+
c(32,32,20)s(40,40,12)-t(32,40,28)+
c(32,32,12)s(40,40,28)s(40,40,12)-+
s(32,40,28)s(40,32,20)*t(24,48,28)+
c(24,40,20)c(32,24,20)-s(40,32,12)+
s(48,24,20)t(48,32,12)s(8,16,12)++
t(24,48,28)s(48,32,12)t(40,40,20)+-
s(32,32,28)c(32,32,12)-t(40,24,20)-
c(32,32,28)s(24,48,20)*s(8,48,12)+
t(32,40,20)s(32,16,20)s(24,24,28)*+
s(32,40,28)c(32,40,20)s(8,24,12)+*
s(40,24,28)c(32,32,20)c(32,16,12)--
s(40,8,12)s(24,32,20)+s(40,32,20)+
s(40,40,28)s(40,48,20)s(48,32,20)+*
s(24,24,20)s(32,48,20)-t(16,56,12)+
c(32,32,28)s(40,32,20)t(32,40,28)*-
s(48,24,12)s(40,40,28)s(48,48,20)-+
c(40,40,20)t(40,48,12)t(32,16,12)+-
s(32,24,28)s(8,24,12)s(40,40,28)+*
c(24,32,20)s(16,24,20)s(24,40,20)--
s(40,40,20)s(40,32,20)*c(24,40,20)+
s(24,24,20)s(24,40,28)s(32,48,20)*+
s(24,24,28)c(32,32,28)c(32,24,12)-*
s(48,48,20)c(32,48,12)-c(16,16,12)+
c(40,32,20)t(32,40,20)-s(16,40,20)+
s(16,24,20)s(32,40,28)+s(16,32,20)-
s(16,32,20)t(32,48,12)+c(16,48,12)-
s(8,24,12)c(40,24,20)c(24,40,12)-+
s(40,24,28)s(40,24,20)s(24,24,20)*-
s(40,32,28)c(24,16,12)-c(32,40,20)*
s(40,32,12)s(48,8,12)+s(16,16,12)+
t(24,32,28)t(16,24,12)-s(32,24,28)+
s(32,32,12)t(16,16,12)+s(48,8,12)+
c(16,32,12)t(24,48,28)s(32,40,20)*+
s(32,24,28)t(48,24,12)c(32,24,12)+-
s(16,40,12)s(32,24,28)s(40,40,20)-+
c(16,16,12)t(24,40,28)s(40,24,20)++
s(48,48,12)t(32,24,20)+s(32,8,12)+
s(32,40,28)s(24,24,28)c(24,16,12)--
s(40,32,28)s(32,32,28)t(32,32,20)--
s(16,32,20)s(32,32,28)+c(48,48,12)-
c(24,40,12)t(24,40,28)c(32,48,12)-+
c(32,24,20)s(24,48,20)-s(16,16,12)-
s(32,40,20)s(32,40,12)-t(32,24,20)+
s(48,48,20)c(24,40,12)+s(32,24,20)+
t(32,48,28)s(32,32,20)s(40,24,20)*+
s(32,24,28)t(24,32,12)-c(32,24,20)*
s(32,40,28)c(48,16,12)t(24,32,12)+-
c(16,32,12)s(40,32,20)s(48,24,12)-+
s(32,32,28)s(40,32,28)s(48,8,12)+*
t(24,40,20)s(24,16,20)c(32,32,28)*+
s(24,32,20)t(24,40,28)*c(40,24,12)+
c(32,40,20)t(40,48,20)-s(16,24,12)+
s(40,32,20)s(40,32,12)s(40,48,12)++
c(32,24,20)t(32,48,28)s(40,40,12)--
t(32,32,28)s(48,16,20)c(32,24,20)-+
s(40,24,12)s(24,16,20)+s(16,16,20)+
s(32,24,28)s(32,40,20)t(32,24,20)+*
c(24,24,20)s(24,24,12)-t(16,48,12)+
t(24,48,28)c(32,24,20)s(16,24,20)*-
s(24,32,28)s(24,24,20)c(40,24,12)--
s(40,32,28)s(32,32,28)c(24,48,12)-*
s(40,24,28)s(32,24,20)s(24,40,28)*-
s(40,24,28)c(24,32,12)c(16,24,12)+-
t(24,48,28)c(24,24,20)s(40,40,28)*-
s(40,48,20)s(24,16,20)s(24,32,20)*+
s(40,32,28)t(32,40,12)-t(40,24,20)-
s(32,32,28)s(40,32,28)s(16,24,20)-*
s(32,24,28)c(40,32,12)-s(32,40,20)-
s(24,24,28)t(24,32,20)s(48,24,20)+*
s(16,40,20)c(16,32,12)t(24,56,12)++
s(40,16,20)s(16,48,20)+t(32,40,28)-
c(16,48,12)s(24,32,20)+t(24,40,28)*
t(40,40,20)s(16,32,20)+t(24,32,28)*
s(8,32,12)s(40,32,28)s(48,40,20)*+
s(40,24,28)s(16,32,20)-s(32,24,28)*
s(24,24,28)t(40,24,12)s(24,24,12)+-
c(40,40,20)t(48,40,12)-s(16,24,20)-
c(40,24,20)t(32,32,20)c(32,48,12)--
c(40,32,12)c(48,16,12)s(16,16,20)++
c(40,48,12)s(24,40,12)t(40,16,12)++
s(40,40,28)t(32,48,12)-c(32,32,12)-
c(40,32,12)s(32,32,20)c(32,40,20)*+
t(40,40,20)t(16,24,12)+s(40,16,20)+
t(24,16,12)s(24,40,28)s(32,24,28)-+
s(32,32,28)s(16,16,20)c(32,24,12)--
c(40,24,20)s(32,24,28)*s(40,32,28)*
s(40,24,20)c(16,24,12)+c(40,40,12)-
s(16,40,12)c(40,24,20)+s(48,40,20)-
s(40,40,28)s(48,40,12)s(32,48,20)+*
c(48,48,12)s(40,40,20)t(24,32,20)-+
t(32,32,20)s(40,40,28)s(40,24,28)-+
s(48,24,20)s(48,16,20)*c(48,48,12)+
s(40,32,28)s(16,48,20)+c(32,32,28)*
t(32,40,28)c(32,32,20)*c(48,24,12)+
s(40,32,12)t(24,32,28)+s(8,40,12)-
s(32,40,28)t(24,40,28)*c(40,24,20)+
c(24,40,12)s(32,40,28)s(40,48,20)*+
s(48,24,20)c(32,32,20)t(24,40,28)*+
c(40,40,20)t(32,40,28)c(32,24,20)*-
t(32,40,28)t(24,48,28)s(24,32,20)++
s(16,48,20)c(24,40,20)s(40,24,28)-+
c(40,40,20)c(32,32,20)*s(48,16,12)+
s(40,24,28)c(40,24,20)s(32,40,28)*-
s(32,24,28)s(24,40,28)c(32,40,20)*-
s(40,40,28)c(32,24,20)s(40,40,20)*-
s(24,32,28)s(40,16,12)-s(24,40,28)*
t(40,24,12)c(40,40,20)s(32,40,20)*+
c(40,32,12)s(32,48,20)c(32,40,20)*+
s(32,24,28)t(16,16,12)-c(16,24,12)-
s(24,32,28)s(24,32,12)-t(40,40,12)-
c(32,32,28)c(32,32,20)s(32,16,20)*-
t(48,48,12)s(32,32,20)+s(48,40,20)+
s(24,32,20)s(40,48,20)-c(24,16,12)+
c(32,40,20)s(48,24,20)s(40,24,20)*+
t(24,32,28)c(32,32,20)c(40,40,20)*+
s(40,32,28)s(24,40,28)s(40,32,20)*-
s(40,32,28)c(40,48,12)-s(48,48,20)-
s(48,48,20)c(16,16,12)+s(24,32,20)-
c(40,40,20)s(40,24,28)*c(40,16,12)+
t(16,40,12)s(40,16,20)+s(32,24,28)*
s(16,24,20)c(32,40,20)-s(40,48,20)+
s(24,24,20)s(16,40,12)s(24,32,12)++
s(40,40,20)s(8,16,12)+s(32,32,12)-
c(24,40,20)s(16,32,20)+c(40,32,12)-
s(16,32,20)c(32,32,20)-c(24,32,20)+
s(32,24,28)s(32,16,12)-s(48,16,12)-
c(24,40,20)s(24,32,28)s(48,16,20)-*
c(24,32,20)c(24,40,12)s(40,24,28)+*
s(24,40,28)s(32,16,20)+t(40,40,20)-
c(24,32,20)t(24,40,28)+t(40,16,12)+
t(32,48,28)c(24,24,20)t(32,40,28)-+
s(16,40,20)s(32,32,28)s(24,24,20)*+
s(24,32,28)c(24,40,20)c(40,32,20)*-
s(24,48,20)s(24,40,20)*s(32,16,20)+
s(32,24,28)s(32,24,12)-s(32,32,28)+
t(16,48,12)s(24,24,20)+s(24,32,28)*
t(32,32,28)s(24,40,20)c(24,24,12)-+
t(24,40,28)s(24,16,12)c(32,32,20)++
s(40,40,28)s(24,24,12)-c(24,32,12)-
t(48,40,12)s(16,24,20)+s(24,24,12)-
s(24,16,20)s(24,48,12)+s(32,40,20)-
c(40,40,20)c(24,40,20)s(32,24,28)--
c(16,48,12)s(8,16,12)s(24,48,12)++
s(32,24,28)s(8,40,12)s(40,40,28)+*
c(40,40,20)s(40,32,20)t(24,40,28)+*
s(40,40,28)s(40,24,20)*c(16,24,12)+
s(24,24,28)s(48,32,20)s(32,40,28)*-
s(32,40,28)c(40,48,12)-c(24,16,12)-
s(24,24,28)c(40,40,12)-s(24,48,20)-
s(32,32,28)s(32,48,20)*s(48,40,20)+
s(24,8,12)s(40,40,28)c(24,48,12)-+
s(24,32,28)t(32,32,12)-c(16,40,12)-
s(16,24,20)c(24,40,20)-c(40,40,12)+
s(24,24,28)s(40,16,12)-c(32,24,20)*
t(32,40,28)s(24,48,20)-s(24,24,20)+
s(48,32,20)t(24,32,28)+t(40,40,20)-
s(48,8,12)c(24,40,20)c(32,40,20)*+
s(16,32,20)c(16,32,12)-c(40,40,20)+
c(24,24,20)s(16,8,12)s(24,40,28)+*
t(24,32,28)s(24,40,28)c(24,32,20)**
s(40,24,28)c(32,40,20)*t(24,48,28)+
t(40,48,20)c(24,32,20)s(32,24,20)*+
c(32,32,28)s(24,32,20)-t(48,48,12)-
t(32,40,28)s(32,24,28)s(24,16,20)*-
c(24,24,20)s(40,24,28)*c(16,24,12)+
c(40,32,12)s(24,32,20)+s(24,24,28)*
s(32,40,28)s(32,24,28)*c(40,48,12)-
s(32,32,28)t(32,32,20)s(32,40,20)*-
t(24,40,28)c(16,32,12)+c(32,24,12)-
s(24,32,28)s(48,40,20)s(40,32,28)*+
t(32,32,28)s(24,40,28)+s(32,24,28)*
t(24,40,28)s(32,16,20)t(16,16,12)--
s(24,32,28)t(32,48,28)*s(40,16,20)+
s(48,24,12)t(32,40,28)c(40,40,20)*+
s(32,40,28)t(24,32,20)-t(24,56,12)-
c(24,40,20)t(32,24,20)s(40,8,12)--
c(24,40,20)s(32,40,28)+t(32,48,28)*
c(24,40,20)s(32,40,20)c(16,16,12)+*
s(24,32,28)s(24,48,20)s(24,40,20)*-
s(40,40,28)t(32,48,20)t(16,16,12)+-
c(32,32,20)s(24,16,20)t(16,24,12)--
c(32,16,12)t(24,48,28)+s(24,32,12)-
c(40,24,12)t(32,32,28)t(16,24,12)++
t(32,40,28)c(24,40,20)*c(24,32,12)+
c(40,40,20)t(48,56,12)-t(40,32,12)-
s(8,32,12)s(32,40,20)t(24,24,12)++
s(16,8,12)s(32,40,28)s(24,40,28)*+
s(16,32,20)t(40,40,12)s(48,48,12)++
s(40,32,28)t(16,16,12)c(40,40,20)+*
c(16,40,12)t(24,48,28)c(32,24,20)-+
s(24,32,28)s(16,40,12)-t(24,48,20)-
s(48,24,12)c(24,24,20)c(32,48,12)++
c(32,32,20)t(32,32,28)c(48,40,12)+*
s(40,32,28)s(48,16,20)*c(32,40,12)+
s(32,24,28)c(40,40,20)*s(24,24,28)+
c(16,16,12)t(32,32,20)+s(8,8,12)+
s(24,32,28)s(16,32,12)-s(40,40,12)-
c(32,32,12)t(32,16,12)+t(24,32,28)+
c(40,24,20)s(24,16,20)c(32,32,28)*-
s(40,32,28)s(32,32,28)t(24,32,28)*-
s(48,32,12)t(16,16,12)s(32,40,12)++
t(32,32,28)t(32,40,28)+t(24,24,12)-
c(24,24,20)s(24,32,20)t(32,16,12)+*
t(48,48,12)c(24,32,20)s(24,40,20)*+
s(32,32,28)s(16,32,20)-c(24,16,12)-
s(48,16,12)c(40,24,20)s(48,8,12)-+
s(32,24,28)c(40,32,20)c(40,40,20)*+
t(24,32,28)c(40,40,20)s(40,48,20)*+
s(32,40,28)c(32,32,20)*c(32,40,20)*
s(24,32,28)c(48,32,12)c(48,16,12)++
s(40,24,28)c(40,48,12)s(24,40,12)+-
c(32,32,20)t(40,40,20)t(32,40,28)*-
s(16,48,12)s(32,40,28)s(40,24,20)*+
s(40,32,28)s(16,16,12)t(32,40,28)+*
s(24,40,28)t(24,48,28)s(40,24,28)--
s(32,32,28)s(40,40,20)t(32,48,28)*-
c(24,24,20)s(24,32,28)*c(16,40,12)-
s(24,40,28)s(32,40,28)*s(16,48,12)-
s(32,40,28)c(32,32,20)*s(16,16,20)-
s(24,32,28)t(40,24,20)s(16,48,12)+-
s(40,24,28)s(40,40,20)c(32,40,20)*-
s(40,40,28)s(48,16,20)t(32,32,28)-+
s(16,40,20)t(32,40,28)c(32,32,20)*+
c(32,24,20)s(32,8,12)-c(40,48,12)+
s(40,16,20)s(24,32,20)+s(24,40,28)*
c(40,24,20)s(40,8,12)-s(32,24,28)*
t(40,24,20)s(32,40,28)+s(32,48,12)-
s(8,32,12)t(24,48,28)c(24,48,12)-+
c(24,24,20)t(24,32,28)t(24,48,28)*-
t(24,32,20)c(40,40,20)+c(24,40,20)*
c(32,32,28)t(24,48,28)+s(24,24,28)-
s(48,32,20)c(24,40,20)+s(32,24,28)*
c(24,32,20)s(48,16,20)+t(32,32,12)-
c(40,40,20)s(40,40,28)s(32,40,28)**
s(24,40,28)s(32,24,28)*t(48,24,12)+
c(40,32,20)c(40,40,20)t(24,40,28)*-
c(32,24,20)s(32,32,28)s(32,24,28)**
t(24,48,28)t(32,48,20)s(40,24,28)++
t(32,48,12)s(40,16,20)+s(40,24,12)-
t(32,48,28)t(32,40,28)+s(24,16,20)-
t(24,32,12)s(32,16,20)+s(40,40,20)-
s(16,24,20)t(24,32,12)-s(16,48,12)+
t(24,56,12)s(40,48,20)+c(24,16,12)+
c(16,24,12)s(40,32,28)+c(40,40,20)-
s(24,24,28)s(24,24,28)s(40,32,20)*-
c(40,32,20)s(16,40,20)-t(32,16,12)-
t(24,48,28)s(32,16,12)+s(16,40,12)-
t(32,32,28)c(24,32,12)-c(40,32,20)+
t(32,48,28)s(40,24,20)s(32,24,20)*+
c(32,32,28)s(32,16,20)c(40,24,20)*-
s(24,32,28)s(24,8,12)c(24,16,12)+-
s(16,16,12)s(48,24,20)s(48,32,20)*+
s(40,32,28)t(32,48,28)c(32,24,12)+*
s(40,24,28)t(32,32,28)c(24,24,20)*-
c(32,40,20)s(16,24,20)c(24,32,20)*+
s(32,24,28)s(40,24,28)*s(32,40,12)-
c(40,40,20)t(16,24,12)s(40,40,20)+*
t(40,24,20)s(24,16,20)+t(24,24,12)-
s(32,48,12)c(40,40,12)+s(8,32,12)+
c(32,32,20)s(32,48,12)s(24,8,12)++
c(32,24,20)s(40,40,28)s(24,24,28)--
s(16,24,20)s(32,32,28)*s(32,24,20)+
s(32,32,28)c(32,24,20)c(48,16,12)-*
t(24,48,20)t(24,24,20)t(32,48,20)++
s(16,24,12)c(40,48,12)c(24,48,12)++
c(40,40,20)c(40,32,20)s(8,8,12)+*
c(32,32,20)c(24,16,12)s(24,24,12)+-
s(32,32,20)s(24,16,12)t(32,40,20)++
c(32,32,12)s(16,40,20)+s(8,24,12)-
s(16,24,20)s(32,8,12)+c(32,32,28)*
c(32,40,20)t(24,24,20)+c(24,48,12)-
s(40,32,28)t(24,24,12)-t(24,24,20)-
s(32,24,28)s(40,24,28)t(32,16,12)-*
s(16,40,20)s(40,40,28)+c(32,32,20)*
c(24,40,20)s(24,48,20)*t(16,24,12)+
s(24,32,28)c(24,40,20)s(40,40,28)--
s(40,40,28)t(48,24,12)s(48,16,12)+-
c(40,24,20)t(32,40,20)s(32,24,12)--
s(32,24,28)c(24,24,20)s(16,24,20)+*
s(40,40,28)s(48,48,20)s(40,48,12)-+
c(40,40,20)s(40,24,20)s(48,24,12)--
s(40,16,20)s(16,24,20)-c(40,24,20)+
s(8,8,12)c(40,40,20)s(48,48,20)-+
s(16,24,20)s(24,16,20)*c(40,16,12)+
s(24,48,20)c(24,16,12)+s(24,16,12)-
s(32,40,28)c(32,32,20)*c(32,40,20)*
c(32,40,20)s(32,24,28)*s(48,16,12)+
c(40,32,20)s(24,24,28)*s(40,48,20)+
t(24,24,20)c(32,24,20)c(40,24,20)*+
s(40,32,28)c(48,32,12)-s(16,24,20)+
s(24,32,28)t(40,32,20)t(48,24,12)--
s(24,32,20)c(32,32,20)*s(8,8,12)+
s(40,24,28)t(32,32,12)s(16,24,12)+-
s(32,40,28)c(24,24,20)c(32,32,20)*-
s(24,24,28)s(40,16,20)t(32,40,20)+-
s(40,40,28)s(32,32,20)t(24,32,28)*-
s(32,40,20)c(40,40,12)-s(48,40,20)+
c(32,32,28)t(24,40,28)s(32,32,20)*-
c(40,32,12)s(8,32,12)+t(32,16,12)+
s(32,32,28)s(32,40,20)s(32,24,28)*-
s(32,32,20)s(48,16,12)+s(48,40,12)-
c(32,32,12)s(16,40,20)+t(32,40,28)+
c(32,40,20)c(32,32,20)*c(16,32,12)+
s(24,40,28)s(24,24,28)c(40,32,20)+*
c(40,32,20)t(40,48,20)c(32,32,12)--
s(24,16,20)s(48,32,12)+c(16,32,12)-
c(24,32,20)t(48,16,12)+t(24,32,28)*
s(8,8,12)s(24,48,12)+s(32,32,12)+
s(32,32,28)s(40,24,12)-s(32,32,12)-
t(32,32,28)c(24,40,20)t(32,48,20)*-
c(24,24,20)s(32,32,20)-s(40,24,12)+
t(32,40,28)s(32,24,12)t(40,16,12)+-
c(32,32,28)s(32,32,12)-c(32,24,20)*
c(32,40,20)s(48,16,20)t(24,56,12)+-
t(32,32,20)s(16,24,20)s(16,8,12)-+
c(40,24,12)s(32,16,12)+t(48,56,12)+
c(32,32,28)c(16,40,12)-c(32,16,12)-
c(48,24,12)s(40,16,20)+s(16,16,20)-
s(40,40,28)t(32,48,28)+t(40,32,12)-
c(32,40,20)t(32,48,28)-t(32,48,28)+
s(32,32,20)t(40,24,20)s(16,40,20)-+
s(24,32,28)s(40,32,20)c(32,32,12)--
s(32,40,28)s(32,24,20)-s(16,40,12)-
s(24,32,20)t(24,48,28)+s(32,40,28)*
s(24,24,20)s(24,32,20)*s(16,48,12)+
t(32,48,28)c(32,24,20)+c(40,24,20)-
s(8,24,12)s(40,16,12)t(24,32,12)++
s(32,24,28)c(24,32,12)-s(40,16,12)-
s(24,48,20)s(16,40,20)*s(32,48,20)+
c(40,40,20)s(40,24,28)t(24,40,28)*-
s(24,40,20)c(32,32,20)s(32,24,28)*+
s(24,40,28)t(16,24,12)t(48,40,12)+-
s(32,24,28)s(32,24,20)t(32,32,20)*-
t(32,48,28)t(32,24,20)-s(16,32,20)+
s(40,40,28)s(32,32,28)*s(48,24,12)-
t(24,40,28)s(32,16,20)s(40,40,20)--
s(40,32,28)t(32,24,12)-t(24,32,20)-
s(24,16,20)c(16,24,12)+s(40,16,12)-
s(16,48,12)t(24,48,28)c(32,32,28)*+
t(40,24,20)s(40,48,20)c(48,32,12)-+
c(32,32,20)s(32,16,20)c(40,40,20)-+
s(24,24,28)t(40,48,12)+c(32,32,12)-
t(24,32,28)t(24,40,20)*c(32,16,12)+
s(32,40,28)t(24,48,28)t(24,40,12)--
t(16,40,12)s(48,24,20)s(32,32,12)-+
c(24,40,20)t(32,32,28)s(40,40,20)+*
s(40,48,20)s(16,16,12)+t(32,56,12)-
s(40,24,28)s(40,32,28)*s(32,16,12)-
c(32,40,20)t(16,40,12)-c(48,48,12)-
c(32,32,20)s(40,32,28)c(32,24,20)**
c(48,16,12)s(48,40,20)s(40,40,20)*+
t(24,32,28)s(32,40,28)s(16,48,20)+*
s(48,48,20)t(48,32,12)-t(32,40,20)+
s(16,48,20)s(40,32,28)s(32,48,20)-+
s(24,48,20)s(40,24,28)s(48,32,12)-+
t(32,24,20)c(24,40,12)c(40,40,20)++
c(40,40,12)s(48,16,20)s(40,32,12)-+
c(40,40,20)s(24,32,20)t(24,48,28)*-
s(40,24,28)s(32,8,12)-c(32,24,20)*
s(32,24,28)s(32,24,28)t(24,40,28)*-
s(32,32,20)s(16,24,20)t(24,24,20)*+
s(40,40,12)c(32,24,20)s(32,16,12)-+
c(24,24,20)t(32,32,28)*t(32,48,12)+
s(40,40,28)s(48,32,12)c(40,24,12)+-
s(24,48,20)c(40,24,20)+c(32,40,20)*
c(32,32,20)t(24,24,20)*s(16,32,20)+
s(24,32,28)t(24,56,12)+c(32,40,20)*
s(24,16,20)s(40,32,28)s(48,24,20)*+
s(40,24,28)t(48,16,12)c(32,48,12)+-
t(24,56,12)c(32,24,20)+s(48,24,20)-
s(40,40,28)c(24,32,12)-c(48,48,12)-
s(48,40,20)c(24,24,20)t(32,32,20)*+
c(40,24,20)s(24,48,12)+s(16,32,20)-
s(24,48,20)s(32,40,28)*c(48,40,12)+
s(24,40,28)t(32,32,20)s(16,24,12)++
t(24,32,12)s(40,32,20)+c(24,32,12)+
s(32,32,20)s(24,40,20)*s(40,24,20)+
s(40,32,28)c(48,16,12)-c(32,40,20)*
s(24,32,12)s(32,48,20)+t(32,24,12)+
c(32,40,20)c(40,40,20)s(32,40,28)**
c(40,24,20)s(48,40,12)-c(24,24,20)+
t(32,32,28)s(32,32,28)s(16,16,12)-*
s(32,32,20)t(32,40,28)+s(8,16,12)+
s(40,48,20)c(32,24,12)+c(32,48,12)-
s(24,8,12)t(24,40,28)s(16,48,20)*+
c(40,32,20)s(48,48,12)-s(32,48,12)-
c(24,32,20)c(40,40,20)s(32,32,20)-+
s(40,40,28)s(24,24,28)c(40,24,20)*+
t(24,48,28)s(40,24,28)+t(32,48,28)-
c(48,40,12)s(40,48,20)s(24,40,28)*+
c(40,32,20)s(32,32,20)+c(40,24,20)*
s(32,24,20)c(48,16,12)-c(16,24,12)+
c(32,32,28)t(24,32,28)-s(16,40,20)+
s(48,32,12)c(24,40,20)s(16,40,20)*+
c(24,40,20)t(24,40,28)s(40,40,12)+*
s(32,32,28)s(24,32,28)*c(48,32,12)+
c(32,32,20)s(40,16,20)c(32,32,28)*-
c(40,32,20)s(32,40,20)c(24,24,20)*-
s(40,40,28)s(48,24,20)*c(40,16,12)+
t(32,40,28)s(32,40,28)c(32,24,20)*+
s(24,32,28)s(40,48,20)s(48,32,20)--
c(24,32,20)s(16,24,20)c(16,16,12)--
t(24,32,20)s(32,32,20)t(32,40,28)*+
s(24,32,28)s(32,48,20)s(48,24,20)++
s(24,40,28)t(24,48,28)c(40,40,20)*-
s(40,48,12)s(16,48,20)c(24,40,12)-+
c(48,40,12)s(24,32,20)+c(40,48,12)-
s(32,40,28)c(24,24,20)s(32,32,28)*-
s(40,24,28)c(32,32,20)*c(16,24,12)+
s(16,16,20)c(32,32,20)+c(32,40,20)-
c(32,32,28)s(32,40,28)s(24,24,20)*-
t(24,48,20)s(16,48,20)*c(40,16,12)+
s(32,24,28)c(32,40,20)*s(40,48,20)+
s(24,40,28)t(32,40,28)*s(16,40,12)+
s(32,40,20)c(16,48,12)c(40,24,12)++
t(32,40,28)t(40,32,20)+s(40,16,12)-
c(24,40,20)s(24,32,28)s(32,24,28)+*
s(48,24,20)s(40,32,12)-s(48,32,20)+
s(32,24,28)s(24,48,20)s(32,32,20)-+
c(32,32,28)c(40,40,20)s(32,32,28)*-
s(24,32,28)t(16,32,12)-s(32,32,28)*
t(24,32,28)t(24,40,28)*t(32,40,28)+
s(48,16,20)s(40,40,20)t(24,48,28)-+
s(24,24,28)s(8,40,12)-s(24,24,12)-
c(32,32,20)t(24,40,28)+s(40,48,12)-
s(16,32,12)t(32,40,28)+c(32,40,12)-
s(40,48,20)s(32,48,20)*s(48,48,12)+
t(32,48,20)c(40,16,12)+c(48,48,12)-
c(32,40,20)t(24,24,20)+s(24,24,12)-
s(24,24,20)t(32,48,28)+t(32,48,12)-
t(32,32,28)s(32,48,20)s(32,24,20)++
s(40,48,20)s(16,24,12)+t(48,48,12)-
s(16,32,20)s(40,32,12)+s(24,24,28)*
c(16,32,12)s(16,40,12)c(32,40,12)++
t(24,48,28)s(24,32,28)-s(40,32,28)+
c(40,24,20)s(32,8,12)-s(48,48,12)+
s(40,32,28)s(40,48,20)c(32,40,20)+*
s(40,24,28)c(32,32,28)*s(48,40,12)-
c(40,40,20)s(24,48,20)s(40,48,20)*-
c(40,32,20)t(32,48,28)t(40,48,20)*-
s(40,16,12)c(16,16,12)+t(32,40,12)+
s(32,24,28)c(48,24,12)-c(40,24,12)+
c(32,24,20)t(40,40,20)s(40,32,20)*-
c(32,32,28)t(32,40,20)c(32,24,20)+-
s(40,40,28)c(40,32,20)*t(48,40,12)-
s(32,24,28)c(32,32,28)t(32,32,20)-*
s(32,40,28)c(48,16,12)+c(40,32,20)*
s(40,32,28)t(24,32,28)*s(24,40,20)+
s(40,16,20)c(16,40,12)+s(24,24,20)-
c(40,32,20)t(32,40,20)s(32,32,20)*-
s(40,32,28)t(24,24,20)s(8,32,12)--
s(32,32,28)s(48,32,20)s(48,24,20)*+
c(40,24,20)c(24,32,20)t(32,40,28)*+
c(40,40,20)c(24,32,20)t(32,48,20)--
s(24,32,28)c(32,32,20)s(40,24,28)*-
s(40,32,28)c(24,40,20)t(48,56,12)+-
s(32,40,28)t(24,32,28)s(24,48,20)*-
s(16,24,20)s(32,16,20)-s(24,32,20)+
c(32,32,20)c(24,24,20)t(48,16,12)+*
s(32,48,12)c(24,24,20)+c(16,16,12)-
t(32,48,28)t(40,40,12)-t(40,48,20)+
s(40,32,28)s(40,32,20)s(32,24,20)*-
t(32,40,28)c(24,40,20)c(24,24,20)*+
s(40,16,20)s(40,24,20)*s(8,24,12)+
c(16,40,12)c(40,24,20)c(40,24,12)-+
s(24,32,28)c(32,32,28)s(32,48,20)*+
s(48,16,20)t(24,32,20)+s(48,32,12)-
s(32,40,28)s(8,40,12)t(40,32,12)+-
t(24,24,20)t(32,48,28)s(40,40,12)-+
c(24,16,12)s(32,40,20)+c(24,32,20)*
s(32,32,28)s(24,24,12)-s(40,40,28)*
c(24,24,20)s(40,24,20)t(40,32,20)*-
t(24,24,20)s(16,16,20)s(8,16,12)-+
c(32,32,28)c(40,40,12)-s(32,40,28)+
s(32,24,20)s(32,48,20)+c(32,24,20)*
s(40,40,28)s(24,32,28)t(24,32,12)--
c(40,24,20)c(24,16,12)-s(24,32,12)-
s(16,32,20)t(16,16,12)+c(32,32,28)*
s(24,16,20)s(48,40,12)+s(48,48,20)+
c(32,40,20)s(24,32,28)*c(48,48,12)+
t(32,48,28)t(32,32,28)t(40,40,20)*-
c(24,32,12)s(48,16,20)c(40,32,20)*+
s(40,32,28)t(32,24,12)-c(40,32,20)*
c(24,24,20)t(32,32,28)t(40,40,20)*-
s(24,48,12)s(48,16,20)+s(32,40,20)-
t(32,32,28)c(40,40,20)s(24,40,28)+*
s(16,48,12)s(24,40,28)s(32,32,20)*+
s(24,32,20)t(32,40,28)*c(32,48,12)+
s(24,40,28)s(16,32,12)c(16,40,12)+-
s(32,40,12)t(24,40,28)c(24,32,12)-+
s(40,24,28)t(40,32,12)-s(16,16,20)-
c(32,24,20)c(24,32,12)-c(24,24,12)+
c(32,32,28)c(40,16,12)-s(24,40,12)-
s(40,32,28)c(32,40,20)t(24,32,20)+*
s(24,40,28)t(32,48,20)s(24,48,20)*-
s(40,16,20)s(16,24,20)+s(32,16,12)-
c(24,16,12)s(40,32,20)+t(16,16,12)-
s(40,8,12)s(40,40,20)+c(32,32,28)*
t(24,32,28)s(40,16,12)+t(16,40,12)-
c(24,32,20)c(32,24,20)*t(40,24,12)+
c(32,24,12)s(48,16,20)s(32,32,28)-+
s(24,48,20)s(16,24,20)+t(24,32,12)-
s(48,48,20)t(24,40,28)-s(32,16,20)+
s(32,16,20)t(24,32,28)+s(16,40,20)-
c(40,40,20)c(24,24,20)s(16,32,20)*+
c(48,40,12)s(40,16,12)c(32,32,12)++
t(24,40,28)s(8,8,12)s(24,32,28)+*
c(32,24,20)t(48,32,12)-s(16,48,20)-
s(24,32,28)s(48,40,20)s(40,32,20)*-
s(16,24,20)s(48,40,20)+s(40,32,28)*
t(24,24,20)s(40,40,20)+c(24,40,20)+
s(32,24,28)c(40,40,20)s(8,24,12)+-
t(40,40,12)s(48,16,20)s(24,16,20)-+
c(32,32,20)s(16,48,20)-c(24,40,12)-
s(32,24,28)s(40,24,20)s(24,24,20)+*
t(32,24,20)s(24,32,20)s(32,40,28)*+
s(24,24,20)s(16,40,20)s(32,40,12)-+
s(40,32,28)t(24,32,28)+s(24,40,20)-
t(32,24,12)t(24,40,28)s(16,40,20)*+
t(32,48,28)s(48,48,20)+t(48,48,12)-
s(24,48,20)t(32,40,20)-s(48,24,12)+
s(16,24,20)t(24,32,28)c(24,32,20)*+
s(40,24,28)c(24,32,20)s(32,40,20)*+
t(16,24,12)t(32,32,20)s(40,16,12)++
c(24,32,20)t(32,48,28)c(32,32,20)-+
s(40,24,28)c(40,16,12)t(24,40,28)+*
s(24,32,28)c(24,24,20)c(40,24,20)*-
c(32,40,20)s(40,16,20)t(40,24,20)*-
s(32,48,20)s(40,24,20)t(40,32,20)*+
s(32,32,28)c(32,40,20)*c(32,32,20)*
c(32,40,20)t(32,16,12)t(24,24,20)+-
s(48,16,12)s(48,40,20)c(24,32,20)-+
c(32,24,12)t(24,56,12)+t(16,40,12)+
c(32,32,20)c(24,24,20)t(48,56,12)++
c(40,40,20)t(24,32,28)t(32,40,12)--
s(32,16,12)s(40,40,20)s(48,40,20)*+
s(24,32,28)t(32,48,20)t(24,48,20)+-
c(16,32,12)t(40,40,20)c(32,32,20)*+
s(40,32,28)t(24,48,20)-c(32,32,20)*
s(32,32,28)t(24,24,20)c(16,40,12)--
c(24,40,20)s(32,32,12)-t(32,40,12)-
s(32,40,28)s(24,40,28)c(40,40,20)*-
s(24,40,28)s(40,48,20)t(48,48,12)--
c(32,40,20)s(24,48,20)*t(32,40,20)+
t(24,48,20)t(32,24,20)s(40,40,12)-+
s(32,40,20)s(32,24,28)*c(16,32,12)+
s(32,24,28)c(48,24,12)-s(32,32,12)-
c(24,24,20)t(32,40,28)-c(16,32,12)+
s(16,40,12)s(16,48,20)s(8,40,12)-+
c(24,24,20)s(40,8,12)+c(32,24,20)*
s(16,48,20)s(16,32,20)+s(40,48,20)-
s(24,32,28)s(40,16,20)t(24,32,28)+*
t(24,40,28)c(32,24,20)*s(48,24,20)+
t(24,40,12)s(32,32,12)s(48,40,20)++
s(24,40,28)s(32,32,12)-s(24,32,28)*
c(24,24,20)s(48,16,20)s(16,16,20)+*
c(24,40,20)s(24,40,28)c(24,32,20)-+
t(48,48,12)c(32,32,20)+c(32,40,20)*
s(24,24,28)s(32,32,20)s(24,40,28)*-
s(32,40,28)t(48,40,12)s(24,24,20)+-
s(16,48,20)t(48,16,12)t(40,40,20)++
t(32,48,20)c(32,24,12)+s(40,32,12)+
s(40,32,28)t(32,32,28)t(48,40,12)--
s(16,32,20)s(40,32,28)+c(40,24,20)*
s(32,48,12)t(32,40,28)c(32,32,20)*+
c(32,40,20)t(16,40,12)-s(24,40,28)*
s(32,24,28)s(40,40,20)s(24,40,20)*-
c(24,24,20)t(40,40,12)+s(24,40,28)*
s(32,32,28)s(40,32,20)c(40,40,20)+*
s(24,24,28)s(40,16,12)-c(40,16,12)+
s(32,24,28)s(24,40,20)t(32,40,20)*-
t(24,48,20)s(16,48,20)*t(24,32,28)+
s(24,16,12)t(32,48,20)s(32,24,20)-+
s(40,24,28)c(40,40,20)t(24,48,28)--
c(48,24,12)s(32,40,20)c(40,32,20)*+
s(48,24,20)s(40,48,20)+c(32,32,28)*
c(32,32,20)s(48,32,20)s(48,40,20)*-
t(16,40,12)s(32,16,12)+s(32,16,20)+
s(32,32,20)s(32,24,20)*s(40,32,20)+
c(32,24,20)t(16,24,12)-s(24,24,28)*
c(32,32,28)s(16,32,20)s(32,24,28)*-
s(32,24,28)s(48,24,20)*s(24,32,20)+
c(40,32,20)t(32,40,12)s(8,24,12)+-
s(24,32,28)s(16,24,20)-t(32,24,20)+
c(24,40,20)s(8,48,12)-s(32,8,12)+
s(48,48,20)t(32,32,20)c(24,24,20)*+
s(32,32,20)s(24,24,28)*c(48,24,12)+
c(40,24,12)t(24,40,12)+c(40,48,12)+
s(24,24,28)c(24,40,20)s(40,32,20)*-
s(40,24,28)c(40,48,12)+s(40,8,12)-
c(24,40,20)s(24,40,12)-t(32,32,28)+
t(40,56,12)s(24,24,28)s(32,32,12)-+
s(32,16,12)s(40,48,20)t(24,56,12)++
t(24,48,12)c(24,24,20)+s(32,40,28)+
t(24,32,28)s(24,40,20)-t(32,32,28)+
s(40,16,20)s(16,48,20)+s(24,32,28)*
s(48,24,20)s(8,8,12)+c(32,16,12)-
s(24,32,28)s(40,16,20)s(16,32,20)+*
s(16,32,20)c(48,48,12)+t(24,32,12)-
s(32,40,28)s(48,32,20)c(32,40,20)*-
s(32,32,28)s(24,48,12)-c(32,40,12)-
c(40,40,20)s(48,40,20)t(32,32,28)+*
s(24,24,28)s(32,32,28)t(32,48,28)*+
s(32,40,12)c(16,24,12)c(32,32,12)++
s(40,40,28)s(24,40,20)c(16,16,12)+-
s(40,16,20)s(8,32,12)+s(40,8,12)-
s(40,40,28)c(48,40,12)t(24,40,20)+*
s(24,40,28)c(32,32,28)*c(40,40,12)-
s(24,24,28)s(24,32,28)s(8,48,12)-*
s(40,24,20)s(48,40,20)c(32,24,12)-+
s(40,32,12)t(40,40,12)+c(24,32,20)+
c(40,32,20)s(40,40,28)s(16,32,20)-*
s(24,32,28)t(24,48,28)s(24,40,20)*-
s(32,16,20)s(40,48,20)+c(40,40,20)*
c(24,32,20)c(40,24,12)-c(40,32,12)+
s(40,40,28)s(24,32,20)s(16,32,20)*-
s(24,32,28)t(24,24,12)-t(32,48,12)-
s(32,24,28)c(32,32,20)*t(40,32,12)-
c(24,32,20)s(24,32,28)c(32,48,12)-*
t(24,40,20)c(32,24,12)+t(24,40,28)+
t(32,40,28)s(40,32,20)+s(40,24,28)*
c(32,40,12)s(40,40,28)s(48,24,20)*+
s(40,32,28)s(8,16,12)s(48,48,20)+-
s(32,40,28)s(40,24,12)-c(32,32,12)-
c(24,40,20)s(16,32,20)s(24,24,20)*-
t(24,48,28)s(48,8,12)t(32,32,20)+-
s(48,32,20)s(32,16,20)-t(48,48,12)+
s(24,32,28)s(24,40,28)*t(24,32,12)-
s(40,24,28)s(24,40,28)s(48,16,20)+*
s(40,24,28)c(40,40,20)s(32,8,12)+*
s(24,40,20)s(32,32,20)-s(40,24,28)+
s(32,40,28)t(32,32,12)-s(8,40,12)+
s(16,24,20)t(24,24,12)-t(24,24,12)+
t(32,32,28)s(40,40,12)c(32,24,20)+*
s(48,48,20)t(32,48,20)-c(40,32,20)+
s(40,40,20)t(24,40,28)-s(48,48,20)+
s(40,32,28)t(24,40,12)-c(40,32,20)*
c(40,40,20)s(32,48,12)-s(40,32,28)*
s(24,40,28)s(24,40,20)s(40,32,28)+*
s(32,24,28)c(24,16,12)-s(16,8,12)+
s(32,24,28)c(40,40,20)*t(24,56,12)+
c(48,48,12)c(24,40,20)+s(32,40,28)*
s(40,24,28)s(24,16,20)t(24,32,28)--
s(40,24,28)s(24,40,20)s(8,48,12)+-
s(32,24,28)s(32,8,12)-c(32,32,12)-
s(24,32,20)c(48,32,12)+s(32,32,28)*
s(40,24,28)s(48,16,20)s(40,16,12)--
s(32,40,28)t(24,48,28)c(40,40,20)+*
s(40,16,20)s(40,24,20)*c(16,32,12)+
t(24,16,12)c(24,24,20)c(32,32,20)*+
s(24,40,28)s(32,32,28)*t(40,32,12)-
s(48,16,20)s(16,48,12)+t(32,48,28)-
t(40,48,20)s(24,32,20)-s(24,16,20)+
s(32,40,28)t(32,48,28)s(40,24,20)--
t(48,40,12)s(24,40,20)+s(16,24,12)-
c(32,16,12)t(24,24,12)s(16,8,12)++
t(32,24,20)t(24,48,28)s(32,40,12)-+
s(32,48,20)s(24,24,20)+c(40,24,20)-
s(24,32,20)s(24,8,12)+t(24,32,28)*
c(32,40,20)s(48,32,20)s(32,32,12)--
t(16,24,12)c(24,40,20)t(32,40,28)*+
c(40,24,20)c(40,40,20)+c(32,24,12)-
s(48,48,12)c(32,40,20)+t(32,32,20)-
c(40,32,20)c(24,40,12)-t(32,32,12)-
s(24,40,28)t(32,40,20)-c(32,24,20)+
s(16,40,20)s(40,16,20)+c(24,32,20)*
t(24,24,20)c(32,24,20)c(40,32,20)*+
c(24,24,20)c(32,32,28)t(40,40,20)-*
s(24,40,28)s(24,32,20)s(32,32,20)*-
s(32,32,28)c(32,32,12)-s(16,32,12)+
s(40,40,28)c(40,24,20)t(32,40,28)*-
s(32,32,28)t(32,40,12)-c(48,48,12)+
s(24,32,28)s(16,40,20)*t(40,40,20)+
t(40,24,20)s(24,32,28)+c(32,16,12)-
c(32,32,28)s(48,48,20)s(40,40,20)-+
s(24,32,20)s(16,32,20)+c(40,40,12)+
c(40,24,20)t(40,48,20)t(32,40,28)*-
s(32,24,28)s(32,8,12)s(40,40,20)+-
s(24,32,20)c(32,40,20)*s(48,24,20)+
s(24,32,28)t(32,32,28)c(40,32,20)*-
t(32,40,28)c(48,48,12)+c(40,32,12)-
s(48,48,20)c(24,40,12)+c(40,32,12)-
s(16,16,20)c(32,24,20)s(48,32,20)-+
s(40,32,28)c(32,16,12)c(40,40,20)+*
c(24,16,12)s(24,32,20)+s(8,32,12)-
s(32,24,20)s(24,32,20)*s(32,40,20)+
t(24,40,20)s(32,32,20)+c(16,24,12)-
c(32,32,28)s(32,48,20)-c(40,16,12)-
s(24,40,28)c(32,40,20)t(32,40,28)**
s(32,32,28)s(24,24,20)*s(40,48,20)+
s(32,16,20)s(40,16,20)+s(24,32,20)+
s(32,32,28)s(16,16,20)t(16,16,12)--
c(24,32,20)s(24,24,28)c(32,32,28)**
s(24,24,28)s(48,24,20)s(40,40,28)*-
t(24,40,12)s(24,16,20)s(32,16,20)*+
s(40,32,28)c(24,32,20)-t(32,32,28)+
s(24,24,28)s(8,24,12)-s(16,24,12)-
s(32,40,28)c(40,40,20)s(24,40,12)-*
t(48,32,12)s(32,40,28)c(48,40,12)-+
s(40,24,28)t(32,48,28)c(40,40,20)*-
s(40,32,28)s(32,32,28)s(40,16,12)-*
t(24,48,28)s(32,32,28)s(16,24,20)*-
s(8,8,12)t(24,48,28)t(40,32,20)-+
s(32,40,20)s(32,48,20)+s(24,16,20)-
t(40,24,20)t(40,40,20)+s(16,32,12)+
s(32,40,28)s(8,48,12)+c(40,32,20)*
s(40,24,28)t(40,16,12)-c(48,24,12)-
s(40,24,28)s(48,32,12)-s(24,24,28)*
c(32,32,28)c(32,40,12)c(40,16,12)+-
c(40,32,20)t(32,40,28)*s(24,24,20)+
s(16,48,12)t(24,32,20)t(48,16,12)++
c(32,40,20)s(24,40,28)s(32,40,28)**
s(40,32,28)s(32,24,28)*c(16,16,12)-
c(32,32,28)s(40,48,20)-s(32,40,28)*
c(32,40,20)t(32,32,28)*s(16,8,12)+
s(48,32,20)s(24,32,20)+s(24,24,28)*
s(40,32,28)t(32,48,28)*s(40,24,20)+
s(32,48,20)t(24,56,12)t(24,48,20)++
t(32,40,28)c(48,40,12)c(32,40,20)+*
s(16,24,20)s(40,32,20)s(24,48,20)-+
c(32,32,28)t(24,48,28)s(8,48,12)+-
t(24,40,28)s(24,48,20)*s(16,48,20)+
s(40,32,28)s(16,40,12)+t(24,32,12)-
s(16,40,12)s(40,40,20)t(40,24,20)-+
s(40,40,28)c(40,32,20)*c(40,16,12)-
s(40,16,20)s(24,48,20)s(16,40,20)*+
c(32,40,20)c(24,24,20)c(24,40,12)-+
s(24,32,28)c(32,24,20)*t(16,40,12)+
c(32,24,20)c(24,24,20)s(16,8,12)-*
s(48,16,20)t(24,48,28)+c(32,40,12)-
s(40,16,20)s(32,24,20)*s(40,32,20)+
s(40,24,28)s(32,40,12)-s(16,24,20)-
s(32,40,28)t(32,48,12)-s(32,40,12)-
s(48,48,20)t(48,24,12)+s(40,40,28)*
t(32,32,28)s(16,48,12)+s(48,32,12)-
s(8,16,12)s(24,32,28)s(16,16,12)-+
s(16,16,20)s(16,24,20)+c(40,40,12)+
s(40,24,28)s(32,24,28)*c(40,24,20)*
c(32,24,20)c(48,32,12)-t(40,24,12)-
t(24,40,28)s(16,24,12)+t(24,48,12)-
s(40,32,28)s(32,16,20)-s(32,32,12)-
t(24,48,28)c(16,16,12)c(16,32,12)+-
t(24,48,20)s(8,24,12)c(40,32,20)++
s(24,40,28)s(24,40,20)c(32,24,12)--
c(24,32,20)t(32,24,12)c(48,48,12)++
s(24,40,28)t(48,56,12)s(32,32,28)+*
c(32,24,20)s(16,32,20)s(8,24,12)--
s(40,24,20)s(24,32,20)-s(16,16,12)+
s(40,40,28)s(32,16,20)+s(32,32,12)-
t(32,32,28)s(48,24,12)+s(24,32,20)+
s(40,24,28)s(32,40,28)s(16,40,20)*-
t(32,32,12)c(48,24,12)t(24,48,12)++
s(32,24,20)c(32,32,20)+s(32,40,28)*
s(32,32,12)s(16,40,20)+t(16,32,12)-
c(32,40,20)c(40,32,20)s(48,48,12)+*
c(16,32,12)c(32,24,20)s(32,48,20)-+
s(32,32,28)s(32,48,12)-s(40,32,12)-
s(16,40,20)t(24,16,12)s(40,16,20)++
t(40,48,12)s(16,24,12)+s(48,16,12)+
s(24,40,20)c(24,24,12)+s(16,32,12)-
s(40,24,28)s(24,24,20)s(40,16,20)--
s(16,40,12)c(32,32,20)t(48,40,12)-+
t(40,24,20)c(40,24,20)s(40,40,28)*+
c(24,16,12)t(40,48,20)s(8,8,12)++
c(40,24,20)s(48,16,12)-s(24,16,12)+
s(40,32,28)t(32,32,28)*s(8,8,12)+
t(16,48,12)s(40,24,12)+s(40,48,20)+
c(16,48,12)s(32,24,20)+s(16,24,20)-
t(24,56,12)t(32,40,28)+c(40,40,12)-
t(24,48,28)c(32,40,20)s(32,24,28)*+
s(24,40,28)s(40,40,28)s(48,24,12)-*
s(40,32,20)s(8,8,12)+c(40,32,20)+
s(32,48,12)s(32,24,28)t(24,24,20)-+
s(40,32,28)s(40,24,28)*c(32,24,20)*
t(48,40,12)s(40,40,28)c(24,40,20)*+
s(32,48,20)t(24,48,20)+t(24,48,28)+
s(48,48,20)t(16,32,12)+t(40,40,12)-
t(40,40,20)c(32,32,20)*t(24,32,20)+
s(40,32,12)s(16,40,20)+s(48,40,20)-
c(24,40,20)s(32,16,20)-s(24,32,28)*
s(40,24,28)t(48,32,12)-s(24,16,20)-
s(32,24,28)t(40,24,20)t(40,32,12)--
c(16,48,12)s(48,16,20)c(40,32,20)*+
t(32,32,28)s(48,16,20)c(32,24,20)*-
c(32,32,20)s(32,40,20)-c(48,40,12)+
c(32,40,20)s(32,32,28)s(24,32,28)**
s(32,40,28)s(40,16,20)-s(8,16,12)+
s(40,40,28)s(24,32,28)c(24,24,20)*-
s(16,40,20)s(32,40,28)*t(40,24,20)+
c(24,40,20)s(24,16,20)-c(40,40,12)+
s(32,32,28)s(24,32,28)t(32,32,20)-+
s(48,24,12)s(24,24,12)+t(32,32,20)+
c(40,24,20)t(24,40,28)-s(24,48,20)+
s(32,8,12)s(40,40,28)c(24,32,20)*+
s(32,40,20)s(24,24,28)t(32,24,12)-+
s(40,32,20)s(24,24,20)s(32,32,20)++
c(24,24,20)c(24,40,20)+t(32,32,28)*
s(32,48,20)t(32,40,28)*c(40,32,12)+
s(24,32,20)c(32,40,20)*c(40,24,20)+
s(32,40,20)s(8,32,12)+t(24,40,12)-
s(24,24,28)s(32,24,20)-t(16,48,12)+
s(40,40,28)t(32,32,20)c(32,40,12)+-
s(24,24,28)c(40,32,20)s(24,32,28)*-
s(32,24,28)c(40,16,12)-c(32,24,12)+
c(32,32,20)s(40,16,12)+c(40,16,12)-
c(32,40,20)c(32,32,20)s(24,8,12)+*
t(40,16,12)c(24,40,20)c(24,24,20)*+
s(32,32,20)s(32,40,20)*c(32,24,12)+
s(48,32,12)s(32,32,20)+t(24,24,12)-
s(24,32,20)c(40,24,20)t(24,32,28)*+
c(32,24,20)t(24,16,12)-s(32,32,28)*
c(24,40,20)t(32,48,12)-s(40,48,12)+
s(8,8,12)t(32,48,28)+c(24,32,20)-
s(32,32,28)t(40,40,20)c(32,32,20)*-
s(32,32,28)t(24,32,28)-s(32,40,12)+
s(40,24,28)c(24,32,12)s(48,32,20)+*
c(40,32,20)c(32,32,28)s(24,40,12)-*
c(32,32,12)c(32,24,20)s(24,40,12)-+
s(16,40,20)s(32,32,12)+s(32,16,20)+
s(32,24,28)s(40,24,28)*c(32,24,20)*
c(40,40,20)s(48,32,20)*t(32,24,20)+
t(24,48,28)s(24,24,28)s(40,32,20)*-
t(32,32,28)s(40,40,20)c(32,40,20)*+
s(24,40,28)s(40,16,20)t(32,48,12)+-
t(24,32,20)c(24,16,12)+c(32,16,12)+
c(32,32,28)s(32,32,28)c(40,40,20)*-
t(32,48,28)c(32,32,28)*t(40,24,12)+
s(32,24,28)c(48,16,12)-s(16,8,12)-
s(32,24,28)s(32,24,20)t(24,32,28)*-
s(40,32,28)c(32,24,20)*c(16,24,12)+
c(24,16,12)t(24,48,28)+t(24,40,12)-
s(16,24,20)s(40,48,20)t(40,32,20)++
s(24,40,28)s(32,32,28)s(40,48,20)*-
c(40,32,20)c(32,24,20)c(32,32,12)--
s(32,32,28)s(40,24,28)*c(24,40,20)+
s(40,24,28)t(24,16,12)-t(32,40,20)-
t(40,32,20)t(40,48,20)s(40,40,20)*+
s(40,32,28)s(24,40,12)-c(48,48,12)-
s(40,24,28)s(24,48,20)-c(40,24,20)*
t(24,48,12)s(32,24,20)c(24,32,20)*+
s(40,32,28)s(32,24,28)c(48,40,12)-*
s(40,32,28)t(32,24,20)-t(48,48,12)-
s(24,40,28)t(32,24,12)-s(32,40,28)*
c(32,32,28)s(40,24,28)s(48,40,20)+*
s(32,40,28)t(32,40,12)s(32,24,20)+-
s(40,24,20)t(48,24,12)-t(32,48,28)+
t(40,24,12)t(32,48,28)c(32,32,28)*+
c(40,40,12)s(16,32,12)+s(16,40,12)+
s(40,40,28)s(40,32,28)*c(40,32,12)-
s(32,32,28)s(40,40,20)t(24,48,20)--
t(24,24,20)s(24,16,20)*c(40,48,12)+
t(24,56,12)s(32,32,28)s(48,16,12)-+
s(40,40,20)s(24,24,28)c(16,32,12)-+
c(32,32,12)t(24,32,20)+s(16,24,12)+
s(16,32,20)t(24,40,28)*t(24,48,20)+
s(40,24,28)s(24,24,28)s(40,24,12)-+
c(40,24,20)s(24,40,28)t(24,24,12)--
s(24,24,12)t(32,40,28)c(48,48,12)-+
t(24,40,28)c(32,16,12)+t(32,24,12)-
s(24,32,28)c(48,24,12)t(40,32,12)+-
s(24,24,28)t(32,16,12)-t(32,24,12)-
s(40,32,28)s(16,16,20)c(32,32,20)+*
c(40,16,12)s(16,40,20)s(32,40,28)*+
s(32,32,28)c(32,40,12)s(48,24,20)+*
t(24,32,28)s(40,32,28)*s(40,48,20)+
s(40,48,20)s(32,40,28)s(24,24,20)*+
t(32,24,12)s(48,40,20)+c(32,16,12)-
s(24,24,20)s(24,40,20)*s(48,16,20)+
c(40,24,20)s(40,40,20)s(48,24,20)--
c(40,48,12)s(16,32,20)t(32,48,28)-+
t(40,48,20)c(40,32,20)s(48,32,20)*+
s(32,40,28)s(16,24,12)-s(16,40,12)-
s(48,40,12)c(16,16,12)+s(48,32,20)+
c(32,40,20)s(32,32,28)s(48,16,20)-+
s(24,40,28)s(24,40,28)c(40,32,20)*-
c(40,40,20)s(24,48,20)c(40,32,20)-+
t(24,40,28)c(32,24,20)s(40,32,28)*+
s(48,16,12)s(24,40,28)c(32,40,20)*+
s(40,24,20)t(16,16,12)+t(40,24,12)-
c(32,32,28)t(32,32,28)-t(40,48,20)-
s(24,24,28)s(32,24,12)-s(16,24,12)-
s(24,32,20)t(24,48,28)+c(24,40,20)*
s(24,24,28)s(16,32,20)t(24,32,20)*-
t(32,32,28)s(32,32,28)t(24,24,20)*+
t(32,32,28)t(48,48,12)+t(24,48,20)-
s(32,16,20)s(16,40,20)s(24,32,20)*+
s(24,24,28)s(24,32,28)t(24,48,20)-*
t(48,56,12)c(24,40,20)+c(24,32,20)*
s(48,16,12)s(32,32,28)s(40,40,28)*+
c(24,32,20)s(24,40,28)*s(40,16,20)-
c(16,16,12)s(40,40,20)s(16,32,20)-+
s(48,48,20)s(24,24,20)s(24,40,20)*+
t(24,32,28)c(40,32,20)+c(48,40,12)-
t(24,48,28)s(40,48,20)s(32,24,28)-+
s(40,24,28)s(32,24,28)*c(40,24,20)*
s(24,40,28)t(48,16,12)c(40,40,12)+-
s(32,32,28)t(32,32,20)s(40,40,28)*-
s(40,40,28)c(40,32,20)t(32,40,20)--
t(24,48,28)t(32,32,28)c(24,32,12)--
s(32,40,28)s(40,48,20)*c(24,40,12)+
t(24,24,20)s(48,24,12)s(16,16,12)++
s(32,40,12)c(24,32,20)s(32,32,12)-+
s(32,24,28)s(48,48,20)s(48,40,20)*-
s(16,32,12)s(40,24,28)+s(40,32,12)-
s(24,40,20)t(32,32,28)*c(40,16,12)+
c(24,40,20)s(24,16,20)c(32,32,20)+*
c(32,40,20)c(24,32,20)c(24,40,12)--
s(24,40,28)c(40,32,20)+c(16,48,12)-
c(32,24,20)s(16,32,20)s(32,24,28)*-
s(48,24,20)s(32,48,20)+s(32,40,20)-
s(40,40,28)s(48,8,12)c(48,48,12)+-
t(32,32,28)s(40,24,12)t(40,56,12)+-
s(32,40,28)s(40,40,20)s(24,40,20)*-
c(24,48,12)s(32,40,20)t(32,48,20)-+
s(32,40,20)c(24,40,20)c(16,40,12)-+
c(16,32,12)s(40,40,20)s(16,32,20)-+
s(24,40,28)s(40,16,20)-c(24,32,20)*
s(24,32,28)c(48,40,12)+c(32,24,20)-
c(32,32,20)c(16,16,12)-t(40,32,12)-
c(24,24,20)s(24,40,20)-c(32,40,20)+
s(16,48,20)c(24,32,12)-t(32,24,20)+
c(24,32,20)t(40,40,20)t(24,48,20)--
c(40,40,20)c(32,24,20)*s(16,48,12)+
c(40,32,20)c(24,32,12)s(40,32,12)++
s(40,40,28)c(40,24,12)-s(40,48,12)-
s(32,40,28)t(24,48,12)-s(24,24,12)-
s(48,16,20)s(24,40,28)-s(40,40,20)+
c(24,32,20)c(32,40,12)-s(40,40,28)+
t(32,32,20)t(48,16,12)+s(16,16,20)+
t(40,32,20)s(40,16,12)-t(32,24,20)+
s(40,40,28)s(32,40,28)*c(32,16,12)-
s(32,48,12)s(24,32,28)s(16,40,20)-+
s(16,40,20)s(16,24,20)*c(40,32,12)+
t(40,48,20)c(32,24,20)+c(40,24,20)*
c(24,16,12)t(32,24,12)+s(40,40,28)+
s(24,40,28)c(24,24,20)t(16,24,12)--
s(24,24,28)t(40,32,20)t(32,32,28)*-
s(24,40,28)s(40,32,28)*s(16,16,12)+
s(32,32,28)s(32,32,20)s(40,40,28)*-
s(32,32,28)c(48,16,12)c(32,32,20)+*
s(24,24,28)s(24,32,28)*s(48,16,20)-
s(24,40,28)s(32,48,20)t(32,40,28)+*
t(24,16,12)s(40,24,20)+s(40,8,12)-
t(24,32,28)c(32,32,20)t(40,40,20)*+
s(32,40,28)c(32,24,20)*t(40,48,12)+
c(32,32,20)s(24,40,28)c(32,32,20)-+
s(16,24,20)s(40,40,28)t(24,48,12)-+
s(40,40,28)c(32,32,20)c(32,40,20)**
c(24,16,12)t(24,40,28)+s(24,32,28)*
c(16,16,12)t(24,48,20)+s(32,24,28)+
s(32,40,28)c(32,24,20)-s(24,16,20)+
s(32,24,28)s(32,24,20)s(8,40,12)+*
s(40,32,28)s(48,24,12)-c(40,32,12)-
s(32,24,28)s(8,48,12)s(32,24,20)+*
c(24,32,20)c(32,32,20)s(40,24,20)*-
s(24,40,28)s(48,48,12)c(48,32,12)+-
s(32,32,28)t(48,40,12)t(24,40,28)+*
t(32,40,28)s(48,48,20)c(40,32,20)*+
s(48,48,20)t(32,40,20)+c(32,32,20)+
c(32,24,20)t(32,48,20)c(40,40,20)*-
c(40,32,20)c(32,48,12)-t(24,32,28)+
t(40,48,20)c(32,32,28)s(24,48,20)*+
s(24,24,20)t(24,32,20)s(8,32,12)-+
s(24,16,12)s(40,48,20)s(32,40,28)*+
c(32,32,28)s(32,24,20)s(48,16,12)--
s(40,24,28)c(32,24,20)c(32,32,20)**
s(24,40,28)t(32,48,28)s(40,8,12)+*
c(24,40,20)c(32,32,28)s(48,32,20)-*
c(24,24,20)s(32,40,28)+t(24,40,28)-
s(32,32,28)s(8,16,12)+t(24,24,20)-
s(40,24,28)c(32,32,28)*s(32,32,28)*
t(24,32,28)t(48,32,12)+s(32,32,20)+
t(24,16,12)s(48,32,20)t(32,32,20)-+
s(24,32,20)s(48,32,20)s(32,32,20)*+
t(24,40,20)t(32,40,28)*s(48,16,20)+
s(24,16,20)c(24,24,20)*s(48,16,12)+
s(40,32,28)s(48,32,20)c(24,48,12)+*
s(40,16,20)s(16,40,20)s(16,24,20)-+
c(40,48,12)s(24,32,20)+t(32,40,12)-
s(40,24,12)s(32,40,20)t(24,32,28)*+
c(40,24,12)s(24,40,20)+s(32,40,28)*
s(32,24,20)t(40,24,20)+t(48,24,12)-
c(40,32,20)t(48,48,12)-t(48,16,12)-
s(40,48,20)t(24,24,20)+s(32,40,12)-
s(40,24,28)s(16,32,20)t(24,32,28)*+
s(32,40,28)s(16,24,12)-t(32,40,20)-
s(24,48,20)t(24,40,20)c(40,40,12)-+
s(24,24,28)s(24,24,20)t(24,40,28)*-
c(32,32,20)s(24,32,28)t(16,40,12)-*
s(32,40,20)t(32,48,28)*t(32,32,20)+
t(24,24,20)s(24,40,12)-s(16,40,20)+
t(24,40,12)s(48,16,20)+c(24,24,20)+
c(32,32,20)s(32,48,12)-t(32,40,12)+
s(24,40,28)s(40,32,12)-t(24,48,28)*
t(32,48,28)s(16,40,20)s(32,32,28)*-
s(32,32,28)c(16,24,12)-t(32,40,28)*
s(40,48,20)s(24,24,28)+s(32,24,20)-
t(32,48,28)s(24,24,20)+c(40,40,12)-
s(40,40,28)c(32,24,20)s(16,16,20)+-
t(40,40,20)s(24,24,28)s(16,32,12)-+
s(24,40,28)s(16,24,20)s(32,24,28)*-
s(24,40,28)s(32,40,12)-t(16,32,12)-
s(32,40,28)c(32,32,28)s(48,32,20)*-
s(40,48,20)s(16,40,20)t(24,40,20)*+
s(40,32,28)s(24,24,20)+c(40,24,20)-
s(40,24,28)s(32,32,20)s(24,32,20)*-
s(32,32,28)t(40,32,12)-t(32,40,12)-
s(48,24,20)s(32,16,20)s(40,24,20)*+
s(32,32,28)t(24,32,20)s(40,24,28)+*
s(48,24,20)s(24,32,20)s(16,40,20)*+
c(24,24,20)s(40,32,20)t(40,24,20)*-
s(8,16,12)s(8,40,12)t(40,40,20)++
t(24,48,20)s(32,48,20)t(24,48,28)*+
s(32,24,28)t(40,40,12)t(32,32,20)+-
s(40,24,28)t(32,40,20)t(32,32,28)*-
s(24,32,28)s(24,16,20)s(40,16,12)--
s(32,40,28)s(48,40,20)c(16,16,12)++
s(32,24,28)c(32,32,20)s(24,32,28)**
c(32,48,12)s(32,32,20)+c(24,40,20)*
t(24,32,20)s(32,40,28)s(16,16,20)-+
c(24,40,20)c(24,32,20)t(16,16,12)-*
s(32,40,28)s(24,40,28)*s(40,16,20)-
s(40,24,28)t(24,40,28)s(48,32,20)--
t(32,32,28)s(24,40,28)+c(40,48,12)-
c(48,48,12)s(40,40,12)c(40,16,12)++
s(48,24,20)c(48,24,12)-s(24,32,28)+
s(32,24,28)s(16,40,12)t(48,48,12)+-
s(32,24,28)s(48,40,20)c(40,32,20)*-
s(32,32,28)s(40,32,20)c(40,48,12)+*
s(40,24,20)c(40,40,20)s(24,24,28)*+
s(32,24,28)c(32,24,20)s(48,48,12)+*
c(48,16,12)s(32,40,20)+t(48,24,12)-
s(40,48,20)s(24,40,20)+t(48,40,12)-
s(40,24,28)c(24,16,12)-s(40,40,12)-
s(40,32,20)c(32,24,20)t(40,40,20)-+
s(24,32,28)t(24,40,28)s(24,48,20)*-
s(32,24,28)s(24,32,28)s(24,24,28)**
c(24,24,20)s(24,40,20)s(32,48,20)*-
s(24,32,28)c(24,24,20)t(40,32,12)-*
s(16,16,20)t(32,32,12)+c(32,16,12)-
t(24,16,12)c(40,40,20)c(24,32,12)-+
s(40,40,20)s(32,48,20)t(24,32,28)-+
s(32,24,20)s(24,40,28)*s(16,32,20)+
s(40,48,20)t(24,24,20)+s(24,40,12)-
s(24,40,28)t(32,48,12)-c(32,32,28)*
c(16,16,12)c(32,32,20)s(32,24,28)*+
s(32,32,28)c(24,24,20)*s(48,24,12)+
s(16,48,12)t(32,32,28)+s(40,40,28)*
c(40,16,12)s(16,40,20)s(32,40,20)*+
s(40,40,28)t(24,40,28)s(40,32,28)*-
t(32,32,28)c(32,32,12)-t(32,24,20)+
s(24,24,28)s(16,48,12)c(48,24,12)+-
s(32,24,28)s(48,32,20)s(32,16,20)--
t(24,40,28)s(48,40,20)t(24,48,28)--
c(40,24,20)t(16,40,12)+t(32,32,20)-
t(24,48,28)c(40,40,20)s(48,32,20)-+
s(32,24,28)s(48,32,20)-c(40,16,12)-
c(40,24,20)c(48,40,12)-c(48,40,12)+
c(16,24,12)t(24,32,28)+s(24,24,12)-
s(48,24,20)t(32,48,28)c(32,32,20)*+
s(40,40,28)t(40,32,20)t(32,40,12)--
s(32,40,28)s(48,16,20)s(24,40,28)+*
s(16,24,20)s(40,24,12)+s(48,40,20)-
c(40,32,20)c(24,48,12)-t(24,32,12)-
c(40,16,12)s(32,48,20)+s(40,32,28)*
s(16,24,12)s(32,40,20)+s(40,32,12)-
c(32,32,28)s(40,40,28)s(24,40,20)*-
c(40,16,12)s(24,32,28)c(40,32,20)*+
c(32,32,20)s(40,40,20)-s(40,48,20)+
s(48,16,20)c(32,32,28)*s(32,40,20)+
t(32,48,28)s(40,24,28)-t(40,32,12)+
c(40,48,12)s(24,24,20)+s(32,24,28)*
c(32,32,20)s(48,24,20)c(48,24,12)--
s(40,32,28)s(24,16,12)-c(32,16,12)-
s(40,40,12)s(16,24,12)t(32,56,12)++
t(32,40,28)t(24,48,28)*t(24,32,28)+
s(40,32,20)t(24,48,28)-s(32,16,20)+
s(24,24,28)s(32,24,28)*c(32,24,20)*
s(40,8,12)c(40,32,20)+s(32,24,20)+
c(32,32,28)s(16,32,12)-s(32,24,28)*
s(32,40,28)s(32,24,28)*s(40,8,12)+
s(32,32,20)c(32,48,12)+s(32,40,12)-
s(16,16,20)t(48,40,12)+s(32,24,12)-
s(32,16,20)t(24,32,28)s(40,32,20)*+
t(24,40,28)s(40,40,20)+c(48,40,12)-
c(40,40,20)t(32,32,12)s(16,48,12)+-
t(16,32,12)t(32,16,12)t(32,40,28)++
c(32,32,20)s(24,32,12)-s(16,24,20)+
s(32,40,28)s(40,48,20)t(40,56,12)--
c(40,32,20)s(16,24,20)+c(24,32,20)*
s(24,16,20)t(24,40,28)-s(32,40,20)+
c(24,32,20)s(24,48,20)s(24,48,12)--
s(24,32,28)s(40,32,20)t(32,40,28)*-
s(24,24,28)t(32,16,12)-t(24,40,28)-
t(40,48,20)s(32,24,28)+t(40,16,12)-
c(48,32,12)s(32,24,28)s(24,16,20)*+
s(40,48,20)c(16,16,12)+c(24,24,12)-
s(40,32,20)t(48,40,12)-c(32,48,12)+
s(24,32,28)c(40,32,12)-c(32,16,12)-
s(16,32,20)s(24,24,28)*c(48,48,12)+
c(24,24,20)s(48,24,12)c(40,40,12)+-
s(32,40,20)s(32,32,20)+s(24,48,20)+
s(24,32,20)t(40,24,20)t(32,16,12)-+
s(24,24,28)c(16,40,12)c(48,24,12)+-
t(48,48,12)c(16,40,12)+s(24,24,12)+
t(24,32,28)c(40,40,12)+t(40,32,20)+
s(24,32,28)s(40,24,28)s(24,32,20)--
s(40,16,20)t(40,32,12)c(48,48,12)++
s(24,40,28)s(48,32,20)c(32,32,28)*-
s(40,40,28)t(24,48,28)*s(40,48,20)+
s(24,32,28)s(24,24,28)s(40,24,28)++
c(48,32,12)t(24,32,28)+t(48,24,12)-
t(48,48,12)c(40,32,20)c(48,48,12)-+
s(32,32,28)t(48,24,12)-s(32,48,20)-
s(16,16,20)s(24,24,28)*s(32,40,12)+
t(32,48,28)s(32,40,28)c(24,24,12)-*
s(40,24,28)s(40,48,20)c(40,48,12)--
s(40,40,28)c(32,32,28)s(24,32,20)-*
s(24,32,28)s(40,48,12)-t(32,40,20)-
t(24,48,28)t(48,40,12)+c(24,24,20)-
s(32,24,28)c(32,40,20)s(24,48,20)*-
t(40,32,20)s(24,40,20)s(24,48,20)*+
c(48,16,12)s(24,40,28)+s(24,24,28)*
c(40,24,20)s(32,24,28)s(16,48,20)-*
c(40,40,20)t(24,32,28)*t(24,40,28)+
t(32,32,28)c(16,16,12)+s(16,24,12)-
s(32,32,28)s(40,16,20)-s(16,24,20)+
s(40,24,28)s(40,32,28)t(48,40,12)-*
s(40,24,28)c(40,40,12)-c(32,40,12)+
s(24,32,28)c(32,40,20)t(24,40,12)--
s(16,48,20)s(24,32,28)*c(24,24,20)+
s(32,48,20)s(24,16,20)s(40,32,28)-+
c(24,24,12)t(32,56,12)+c(32,32,20)+
s(40,16,20)t(24,32,20)c(24,16,12)-+
t(24,32,28)s(32,16,20)-c(40,24,12)+
c(32,32,28)s(24,40,20)c(24,32,12)--
t(24,48,28)s(32,32,20)t(32,24,20)*-
t(32,40,28)s(40,40,20)*s(8,24,12)+
t(32,48,20)t(24,48,28)*c(24,32,20)+
s(32,32,28)t(40,24,20)-s(32,40,28)*
c(40,24,20)t(40,40,12)s(48,32,12)+-
c(40,24,20)s(32,40,12)+s(48,24,12)-
c(32,32,28)c(32,32,20)c(40,32,20)*-
c(32,16,12)c(40,32,12)+t(48,16,12)+
t(32,32,28)c(40,24,20)*c(16,32,12)+
c(40,24,20)t(24,48,28)-s(40,32,28)*
s(24,16,12)s(40,32,28)t(32,32,12)-+
c(24,24,20)c(40,24,20)*t(32,40,28)+
s(16,48,20)s(24,32,12)-c(16,32,12)+
s(24,32,28)c(32,32,12)s(16,8,12)+-
s(40,32,28)s(40,40,28)c(24,32,12)-*
s(24,40,28)c(32,40,20)s(16,32,20)-+
s(24,40,28)s(40,32,28)*t(48,32,12)+
s(40,32,28)s(32,32,28)*t(40,48,20)-
s(24,40,28)c(24,32,20)*c(24,40,20)*
s(40,8,12)t(24,40,28)c(32,40,12)-+
c(24,40,20)s(24,32,20)s(40,24,28)*-
s(32,32,20)s(48,24,12)+s(24,48,12)-
s(40,32,28)s(32,40,28)t(24,32,20)*-
s(40,32,28)c(40,24,20)*c(40,16,12)+
s(32,32,28)s(40,32,28)s(40,16,12)-*
t(40,48,20)s(24,40,20)s(24,24,20)*+
s(16,16,20)c(40,40,20)+s(40,40,28)*
c(32,32,28)s(40,24,20)c(24,32,20)*-
s(40,24,28)s(16,32,20)-t(48,32,12)-
t(40,32,12)s(40,8,12)s(24,24,12)++
t(40,32,20)s(32,24,20)s(32,40,12)-+
s(48,48,20)c(32,32,28)*s(24,48,20)+
s(48,48,12)c(24,40,20)s(16,32,20)*+
s(24,24,28)c(24,40,20)s(16,16,20)+*
t(40,48,20)c(24,32,20)c(32,32,20)*+
c(32,40,20)s(24,40,20)*c(32,32,12)+
s(24,32,28)s(40,40,28)s(16,40,20)--
t(40,32,20)s(16,40,20)c(24,48,12)-+
t(24,32,28)t(16,56,12)+c(40,40,12)-
s(32,16,20)c(40,40,20)+s(40,32,20)-
s(24,24,20)s(48,32,12)+t(32,32,12)-
s(48,40,20)c(40,32,20)*t(24,48,28)+
s(8,24,12)c(24,32,12)t(24,24,20)++
s(32,40,28)t(40,48,12)-c(24,32,20)*
c(24,24,20)c(40,40,20)c(48,48,12)--
t(32,56,12)t(32,32,28)c(48,32,12)-+
t(32,24,12)s(24,24,28)t(32,24,12)-+
s(24,40,20)s(8,16,12)+c(16,48,12)+
c(24,24,20)s(32,40,20)s(16,24,20)--
s(32,32,28)s(32,24,20)s(48,8,12)+*
c(32,32,28)c(24,16,12)-c(24,40,20)*
c(24,40,20)s(32,32,28)+c(40,40,20)*
t(40,56,12)c(32,24,20)s(40,16,20)*+
c(24,32,20)s(32,32,28)s(16,24,12)-*
s(40,40,28)c(32,32,12)-s(32,40,12)+
c(24,24,20)c(40,32,20)+s(16,48,20)-
c(40,40,20)c(16,16,12)s(24,48,20)+-
s(32,16,12)s(32,48,20)+t(32,40,28)+
t(24,32,28)s(16,16,12)-s(16,24,20)+
s(32,32,28)s(24,48,12)c(40,32,12)+-
s(16,32,20)t(24,16,12)+s(24,24,28)*
c(32,32,28)c(24,32,20)t(32,48,28)*-
s(24,40,12)s(40,24,20)+c(40,24,20)*
s(32,32,28)c(24,32,20)s(32,16,12)-*
c(32,24,20)s(16,40,20)s(24,32,12)-+
s(32,32,28)s(24,24,20)s(40,32,12)--
s(32,32,28)s(40,32,28)*s(32,24,12)-
c(48,48,12)s(48,8,12)t(32,24,12)++
s(24,24,28)t(16,32,12)-s(24,32,28)*
c(32,32,28)s(32,16,12)-c(40,24,20)*
s(24,32,28)s(32,32,28)t(40,32,20)-*
t(24,48,28)c(40,24,20)+c(32,24,12)-
s(24,32,28)t(24,40,12)s(32,24,20)+*
s(32,16,12)s(24,32,28)s(32,40,20)*+
s(16,8,12)s(32,40,20)c(40,32,12)-+
s(24,40,28)s(32,32,20)s(40,24,20)*-
s(24,32,20)t(40,56,12)s(24,16,20)++
c(32,32,28)c(32,24,12)-t(24,40,20)-
s(24,32,28)t(24,32,20)c(32,24,20)*-
s(24,40,20)t(40,32,12)+s(8,32,12)-
s(24,32,20)s(48,40,20)s(40,32,12)-+
s(16,48,12)t(24,48,20)+t(32,16,12)+
s(24,16,20)s(24,40,28)-s(40,32,28)+
s(40,24,28)c(40,40,20)s(32,32,28)*+
s(32,16,20)s(16,24,12)+s(48,32,20)-
c(24,32,20)c(40,32,20)*c(48,16,12)+
s(24,24,28)c(40,24,20)t(24,40,28)+*
t(32,32,28)s(40,32,20)+s(24,40,20)+
c(32,40,20)c(48,32,12)-t(16,32,12)-
s(40,32,28)c(40,40,20)*s(32,40,28)*
s(40,16,20)c(24,40,20)s(40,24,20)-+
s(32,24,28)c(24,24,12)-c(32,16,12)-
s(24,16,12)s(40,40,28)+c(32,40,20)*
c(32,40,20)s(32,32,28)c(16,48,12)-*
s(8,32,12)s(40,24,28)+s(40,48,20)-
s(40,48,20)c(24,32,12)-c(16,16,12)+
s(48,24,20)s(32,16,12)-t(24,40,28)+
t(32,48,28)s(16,32,20)t(16,32,12)--
c(40,48,12)s(24,16,12)+c(32,24,12)+
s(24,48,20)s(32,48,20)*s(24,32,20)+
c(24,32,20)s(16,24,12)c(24,40,20)+*
s(24,24,20)s(24,40,28)*s(40,40,12)+
s(24,32,28)t(24,40,28)-t(24,40,28)+
c(40,40,20)s(24,16,12)t(40,56,12)+-
s(32,48,12)s(40,32,20)+c(40,40,20)*
c(32,24,20)s(48,16,20)+s(48,16,12)-
t(40,56,12)s(32,40,28)s(40,40,20)-+
s(24,32,28)s(40,40,20)t(32,48,28)*-
s(40,24,28)s(40,32,28)*t(32,40,12)-
t(24,48,28)t(32,40,20)t(32,32,28)*+
s(24,32,28)s(32,24,28)+t(32,16,12)-
s(24,24,28)s(48,16,12)s(32,24,12)+-
s(32,24,20)c(40,24,20)c(32,16,12)-+
s(40,32,20)s(48,40,12)-s(40,16,20)+
t(24,32,28)s(24,32,28)t(16,24,12)-*
t(40,40,20)t(48,32,12)+t(24,32,28)+
s(16,40,12)t(32,40,28)s(32,32,28)*+
s(32,24,20)t(24,16,12)-s(48,8,12)+
t(24,48,20)c(24,24,20)s(40,40,28)*+
c(24,32,20)s(16,48,20)+s(24,24,20)-
c(24,32,20)c(32,16,12)-c(24,40,20)*
s(24,40,28)s(32,24,28)s(24,24,20)--
s(24,24,28)t(32,48,28)s(8,8,12)+-
c(32,32,28)s(40,24,28)*t(40,48,20)-
s(40,24,28)s(16,48,12)+c(32,32,20)*
s(16,32,20)t(32,32,12)+s(24,48,12)+
c(40,40,20)s(48,40,20)+s(48,40,12)-
s(8,16,12)c(40,24,20)+s(40,32,28)*
c(40,16,12)c(32,40,20)+t(40,24,12)-
s(48,32,20)c(48,40,12)t(16,40,12)++
s(40,40,28)s(32,32,20)*t(48,56,12)+
s(40,16,20)t(32,48,28)+s(32,8,12)-
c(32,32,28)s(48,24,12)-c(32,32,20)*
s(24,16,12)c(48,48,12)+c(48,16,12)+
s(24,24,28)s(24,32,28)*s(8,24,12)-
s(24,32,28)s(16,40,12)-t(40,40,20)+
t(16,16,12)s(40,40,28)s(32,32,20)*+
s(32,40,20)s(8,16,12)+s(48,48,20)+
s(24,40,28)s(24,24,28)s(24,8,12)-*
t(32,40,28)s(24,24,20)t(24,32,20)*+
t(24,48,28)t(40,56,12)-s(48,32,20)+
c(32,32,12)s(40,24,20)s(24,32,12)-+
t(32,40,28)c(40,40,12)-s(40,32,12)+
c(32,40,20)s(40,40,28)*c(16,16,12)+
s(24,32,28)c(40,32,20)s(32,24,20)*-
s(32,8,12)s(40,40,20)+c(40,24,12)+
s(40,40,28)t(40,48,20)s(40,24,20)+*
c(32,32,20)s(40,32,28)s(48,40,12)-*
c(16,24,12)s(16,40,20)+s(48,16,12)+
s(32,24,28)s(24,16,20)s(16,32,12)--
c(32,40,20)s(40,40,28)+t(24,32,20)-
t(24,48,28)c(48,40,12)+t(48,48,12)-
s(24,32,28)t(40,48,20)+s(40,48,20)-
t(32,40,28)c(40,32,20)t(48,16,12)-+
s(24,40,28)s(32,40,20)c(48,16,12)+*
c(24,48,12)c(40,24,20)+s(32,24,12)-
s(32,40,28)t(24,40,28)c(40,32,20)*-
c(32,40,20)t(48,40,12)-t(32,32,12)-
t(40,32,12)s(24,24,20)+t(24,48,20)+
t(24,32,12)t(40,40,12)+s(40,24,20)+
s(24,32,28)s(24,40,28)t(24,32,20)--
c(24,32,20)c(40,40,12)t(40,32,12)+-
t(32,48,28)c(16,16,12)s(32,40,28)+*
c(40,32,20)s(40,16,20)c(32,40,20)--
s(32,8,12)s(48,32,20)t(40,32,12)-+
t(40,32,20)t(24,32,20)s(16,32,20)*+
s(40,40,28)s(40,24,28)t(32,16,12)-*
t(24,32,28)c(40,40,20)s(32,40,28)*+
c(48,16,12)t(32,32,28)+s(48,8,12)-
c(24,48,12)c(32,40,12)t(16,16,12)++
s(32,40,28)s(16,48,20)c(16,48,12)--
t(32,40,28)s(24,24,28)*s(16,48,20)+
c(40,32,20)s(40,32,12)-c(24,40,20)+
c(40,16,12)t(16,56,12)+c(48,48,12)+
s(32,32,28)s(16,24,20)*c(40,32,20)+
c(40,32,20)s(16,40,20)-t(48,32,12)-
s(40,48,12)s(32,16,20)c(40,16,12)-+
t(32,32,28)t(40,24,20)+s(24,24,28)*
c(32,32,28)s(32,32,20)-s(32,40,20)-
s(40,40,28)c(40,40,12)-s(40,32,12)+
c(24,32,20)t(40,40,20)t(32,40,12)--
s(24,24,28)c(24,40,20)t(40,24,12)+*
c(32,32,28)s(24,48,12)-s(16,24,12)-
t(32,32,20)c(40,48,12)s(32,32,12)++
s(24,24,28)s(16,24,20)s(48,16,12)+*
s(32,32,28)c(24,32,20)s(40,40,20)*-
s(48,24,20)c(40,24,20)*s(32,24,12)+
s(40,48,12)s(40,24,20)t(32,32,12)-+
s(16,24,12)s(48,40,20)s(48,32,20)*+
s(24,40,28)t(24,40,12)-s(48,16,12)+
s(40,24,28)c(40,24,12)-s(24,16,12)+
c(32,40,20)c(32,24,20)c(16,40,12)-+
s(16,32,20)s(16,40,12)c(40,40,20)++
s(40,32,20)s(24,16,20)s(24,32,12)-+
c(32,24,20)t(40,40,20)+s(40,48,20)-
s(24,32,28)s(32,48,12)c(32,32,12)+-
t(48,40,12)c(40,24,12)+t(16,48,12)+
t(32,40,20)t(24,32,28)*s(48,48,20)+
s(32,24,20)s(48,16,20)-s(8,48,12)+
c(24,32,20)s(24,16,12)-s(16,24,12)-
s(24,32,28)s(32,16,12)-t(32,32,20)-
s(40,32,28)t(24,40,20)+t(24,24,20)-
c(24,24,20)t(16,56,12)+s(24,32,28)*
s(32,40,28)s(16,48,12)-s(32,24,28)*
s(24,40,20)t(32,48,28)c(32,32,28)*+
s(48,16,20)t(32,56,12)c(24,16,12)++
s(32,24,28)s(48,40,20)-s(24,24,28)*
c(40,32,20)t(24,40,28)+t(32,32,20)-
s(32,40,20)s(32,24,20)*t(32,48,20)+
t(32,40,28)c(40,24,20)+c(24,32,20)*
t(40,40,20)t(32,40,28)*s(24,32,20)+
s(32,32,20)s(48,8,12)+s(40,8,12)-
c(32,40,20)s(48,48,20)-s(48,48,12)+
s(48,48,20)s(48,24,20)c(32,32,20)*+
s(32,32,28)c(48,24,12)-t(32,24,20)-
c(32,40,20)s(48,40,20)+t(32,32,28)*
s(40,32,28)s(16,16,12)+s(48,24,20)-
s(40,24,28)c(32,32,28)s(24,32,12)-*
c(40,40,20)s(48,32,12)-t(40,16,12)+
s(32,32,28)s(40,24,20)s(40,40,12)-+
s(32,24,28)s(24,40,20)t(24,48,12)--
c(32,32,28)c(16,48,12)-c(48,48,12)-
s(40,32,20)t(48,16,12)-t(24,40,28)+
s(40,32,28)c(24,48,12)-s(32,32,28)*
t(16,24,12)s(32,32,20)s(40,40,28)*+
s(32,40,28)s(24,40,20)s(48,48,12)+*
s(40,40,28)s(40,24,28)*s(24,24,28)+
c(32,24,20)t(24,32,20)s(16,32,20)*-
t(32,40,20)s(40,40,20)*s(40,24,20)+
s(32,24,20)t(32,32,28)*t(48,24,12)+
c(40,32,20)s(48,48,20)s(48,32,20)+*
s(48,24,12)s(24,32,28)+c(32,40,20)*
s(40,24,28)c(48,24,12)-c(16,32,12)-
s(32,40,20)t(32,24,12)-c(16,32,12)+
t(32,48,28)c(32,24,12)+c(32,32,28)*
s(40,8,12)s(16,48,20)+t(40,24,20)-
t(32,48,28)t(32,40,28)+t(24,48,12)-
c(32,24,20)s(24,48,20)c(32,32,28)*+
s(24,32,28)s(32,32,28)t(48,40,12)-*
s(48,16,20)t(32,32,28)-s(16,32,12)+
s(24,32,28)c(32,16,12)-t(40,32,20)-
s(24,32,28)t(24,32,28)s(24,24,20)*-
s(24,40,12)c(16,24,12)t(40,48,12)++
t(24,32,20)t(32,32,28)t(40,32,20)*+
s(40,16,20)c(40,40,20)t(32,32,28)*+
c(32,16,12)s(40,40,20)c(40,24,20)*+
c(40,48,12)s(24,48,20)+t(40,32,20)-
s(40,32,28)c(40,40,20)t(32,48,20)--
t(40,32,12)t(32,40,20)t(24,48,20)++
t(16,56,12)c(32,24,20)s(40,32,28)*+
s(40,24,28)s(48,16,20)s(24,40,20)+*
s(24,40,28)s(24,32,28)c(32,32,20)**
s(40,32,28)s(48,16,20)*s(48,48,12)+
t(32,32,28)s(40,40,20)+s(24,24,28)*
t(32,48,28)c(24,32,20)*s(40,24,20)+
s(16,16,20)t(32,32,12)+c(32,40,12)-
c(32,24,20)s(24,32,20)c(40,24,12)+*
t(24,48,28)c(48,48,12)c(16,40,12)++
t(40,24,20)s(24,40,20)-s(16,16,20)+
s(24,48,20)s(16,40,20)*c(40,32,12)+
s(32,24,28)s(24,24,20)-s(48,16,20)+
s(40,24,28)s(40,32,20)s(16,32,20)--
c(24,24,20)s(24,32,28)s(32,32,28)**
c(40,40,20)c(24,32,12)-c(24,16,12)+
s(24,32,28)s(32,24,28)s(32,40,28)*-
c(40,48,12)t(32,32,28)s(40,40,20)*+
c(24,24,20)s(40,32,20)s(48,40,20)*-
s(48,24,20)s(48,8,12)+s(40,24,28)*
c(24,32,20)t(24,32,28)*t(48,56,12)+
s(40,24,28)c(24,32,20)s(24,40,28)*+
c(24,24,20)c(32,24,20)t(40,48,20)-+
t(48,56,12)c(32,24,20)t(40,24,20)-+
s(48,24,20)s(40,32,20)s(32,40,28)*+
s(32,32,28)c(32,40,20)s(8,40,12)+*
s(24,40,28)c(24,32,20)s(32,24,28)*-
t(24,40,20)s(16,24,20)+c(32,24,20)+
s(24,16,12)c(40,40,20)+c(32,24,20)*
s(40,40,28)t(24,40,20)c(48,32,12)+*
t(40,48,20)s(24,32,28)c(16,24,12)-+
c(16,16,12)c(32,32,20)s(40,24,20)*+
s(40,8,12)s(24,32,28)+t(40,48,20)-
s(8,32,12)c(24,48,12)s(16,48,12)++
s(32,32,20)t(40,48,20)-t(40,48,12)+
s(32,24,28)s(16,40,20)s(16,48,20)*-
c(24,24,20)s(32,32,28)*s(24,48,12)+
c(24,32,20)s(16,24,20)*t(40,56,12)+
s(24,32,28)s(40,32,20)+s(16,16,12)-
c(32,32,28)c(40,24,20)s(32,40,20)*-
c(32,32,28)s(16,48,20)c(24,32,20)*-
s(24,40,20)s(48,32,20)s(40,48,20)-+
c(32,24,20)c(16,16,12)+t(24,32,20)-
t(32,40,20)c(40,40,20)s(48,32,20)*+
t(24,32,28)s(40,32,20)s(40,16,20)*-
s(24,32,28)t(32,32,12)-c(24,32,20)*
c(40,40,12)t(24,32,20)s(32,40,28)*+
s(24,40,28)c(32,32,28)*t(32,40,20)-
s(32,32,28)s(24,40,28)s(40,32,28)--
s(24,32,28)c(32,32,20)*t(16,32,12)-
s(32,32,28)s(16,16,20)-t(48,48,12)-
t(32,40,28)s(40,32,28)c(48,16,12)-*
s(16,24,20)c(32,32,20)+s(24,40,28)*
c(32,32,20)s(40,40,20)*t(40,24,20)+
s(24,40,28)s(24,16,20)c(40,40,20)--
c(24,24,20)s(16,24,12)-c(24,24,12)+
s(32,40,28)c(40,40,20)*c(24,24,12)+
c(32,24,20)c(16,32,12)-t(24,48,28)+
s(40,24,28)s(32,24,28)c(24,32,20)*-
s(40,40,28)c(32,40,20)*s(40,24,12)-
t(32,48,28)c(40,32,20)-t(48,40,12)+
t(32,48,28)s(40,48,20)*s(48,16,20)+
t(32,48,20)s(40,24,28)t(32,24,12)-+
s(16,8,12)s(32,40,28)s(24,32,28)*+
c(32,40,12)s(32,48,20)s(24,24,20)-+
t(40,56,12)s(32,48,20)c(32,32,28)*+
s(32,24,28)s(40,48,20)c(32,48,12)--
s(48,32,20)s(8,24,12)t(40,40,20)++
c(48,16,12)s(32,40,28)+c(16,48,12)-
s(24,48,20)s(24,40,20)*s(40,16,12)+
s(24,32,28)c(24,24,20)*s(32,16,12)-
s(40,48,20)s(40,24,12)+c(40,32,20)*
c(24,32,20)c(40,40,20)s(48,24,20)*-
s(24,32,28)s(40,16,12)-s(48,32,20)-
c(40,40,20)s(32,48,20)*s(40,32,12)+
s(40,40,28)s(32,32,28)*c(40,40,20)*
s(16,40,20)t(24,48,28)s(32,40,12)-+
s(24,32,28)s(16,48,12)c(32,24,20)+*
c(40,40,20)t(32,56,12)s(32,32,28)+*
t(24,48,28)s(24,40,20)*s(24,16,20)+
c(24,24,20)t(32,32,20)*s(40,40,20)+
s(32,32,28)s(24,16,12)-t(24,40,20)-
c(40,24,20)s(24,16,20)s(16,32,20)--
s(32,40,20)s(48,48,20)t(16,32,12)++
s(24,32,28)c(32,32,20)s(32,48,12)-*
s(40,24,28)s(8,16,12)+c(48,16,12)-
c(32,40,20)c(24,40,20)+s(24,40,28)*
t(16,32,12)s(48,24,20)t(40,32,12)-+
s(40,40,28)c(32,32,20)t(40,40,20)*-
t(32,24,20)s(32,40,28)*s(32,48,20)+
s(24,24,28)t(40,24,20)+s(24,32,12)-
s(16,32,20)c(24,16,12)-c(32,24,20)+
c(32,40,20)s(32,16,20)s(24,24,20)*-
s(24,24,28)s(24,40,28)c(24,48,12)-*
s(24,40,28)t(24,48,12)-s(24,32,28)*
t(24,32,28)s(16,16,20)+s(24,32,28)*
s(16,16,20)c(32,40,20)s(24,40,28)*+
t(24,32,20)c(32,40,20)+s(32,16,20)-
c(24,24,20)t(32,48,20)-c(40,32,12)-
s(40,40,28)c(40,24,12)s(32,8,12)+-
t(32,40,12)t(40,48,20)+s(40,32,28)+
s(32,40,28)s(16,32,20)s(16,32,12)--
c(24,48,12)t(40,24,12)+s(48,24,20)+
c(40,40,20)s(8,24,12)+s(40,16,20)+
s(40,24,28)t(48,32,12)-c(32,32,28)*
t(24,32,28)s(8,48,12)-c(24,32,20)*
s(24,32,28)c(40,40,20)s(8,40,12)+*
c(32,32,28)c(40,24,20)t(32,32,28)--
c(40,24,20)c(16,48,12)s(16,24,20)++
s(32,40,28)s(48,16,20)+c(40,24,20)*
s(24,40,28)c(32,16,12)t(24,48,28)+*
s(32,24,28)s(24,8,12)-s(32,40,28)*
s(32,32,28)t(24,32,28)-s(48,40,20)+
t(24,48,20)t(40,40,20)c(32,24,12)-+
s(48,16,20)s(32,16,12)-c(48,24,12)+
t(32,40,28)s(24,40,28)s(8,32,12)-*
s(32,24,28)c(24,24,20)*t(24,40,12)-
s(40,24,20)t(24,32,12)+s(32,48,20)-
c(40,32,12)c(24,24,20)+c(48,48,12)+
t(32,32,28)t(32,40,20)+s(24,24,28)*
c(32,40,20)t(16,40,12)-t(48,56,12)+
s(40,40,20)s(48,24,20)+t(40,24,20)-
t(24,48,28)s(40,48,20)+s(16,48,12)-
s(24,32,12)t(16,32,12)+t(32,48,20)+
s(40,40,28)c(48,40,12)-s(40,32,28)*
s(32,32,28)s(24,16,20)s(32,16,12)--
c(40,24,20)s(32,32,28)s(32,24,28)*+
c(40,32,20)s(48,16,20)c(32,24,12)--
c(32,24,20)t(24,40,20)-t(32,40,28)+
s(8,48,12)s(32,24,20)c(40,32,20)*+
s(40,32,28)t(24,32,28)*c(40,24,12)+
c(24,40,20)s(32,24,12)-t(16,32,12)-
s(40,32,28)s(48,48,12)-s(40,40,28)*
s(40,32,28)s(40,16,20)*s(48,48,12)+
s(24,32,28)s(32,24,28)c(24,24,20)**
s(32,40,28)t(16,40,12)-s(24,40,28)*
c(24,32,20)t(40,40,12)-c(24,24,20)*
c(40,40,12)s(24,8,12)+t(48,16,12)+
t(32,40,28)s(24,16,20)s(24,32,28)+*
c(32,32,20)s(40,24,20)*s(16,16,20)+
s(48,24,12)s(24,40,20)s(24,32,20)*+
c(40,48,12)t(32,32,28)c(32,24,12)-+
s(32,40,28)s(40,16,20)t(24,24,20)--
s(24,32,28)s(40,32,28)s(48,24,20)*+
t(24,56,12)s(48,32,20)+t(32,40,20)-
c(40,24,12)t(24,32,28)+t(16,24,12)-
s(24,48,20)c(32,32,20)c(16,48,12)-+
s(48,16,12)t(32,48,28)c(32,32,28)*+
s(32,48,20)s(24,40,20)s(32,24,28)*+
s(24,24,20)c(32,40,20)+s(24,32,28)*
c(40,32,12)s(8,48,12)+s(16,40,20)+
s(32,24,28)s(40,24,28)*s(16,48,12)+
s(24,24,20)t(48,32,12)+s(32,24,28)*
c(24,16,12)s(40,40,28)s(24,40,28)*+
s(40,40,28)s(24,40,20)s(8,32,12)+-
t(40,24,20)s(24,32,20)s(32,40,20)*+
s(24,24,20)c(40,24,20)s(32,16,20)*+
c(32,24,20)s(32,24,28)s(40,16,12)-*
s(24,40,28)s(40,32,28)*t(48,40,12)+
s(40,32,20)s(40,40,20)s(48,40,20)*+
t(24,48,28)s(16,48,20)t(48,32,12)++
t(40,24,20)t(40,32,20)c(32,16,12)-+
s(48,48,12)c(40,24,20)t(40,16,12)-+
s(48,40,20)s(48,32,20)*t(48,56,12)+
t(24,40,28)c(32,48,12)s(32,32,12)++
s(16,48,20)s(16,32,20)*c(40,32,12)+
s(40,32,20)t(40,40,12)-s(48,16,12)+
s(32,24,28)s(16,32,20)s(24,24,28)*-
s(40,40,28)s(48,32,20)t(24,24,20)+*
s(32,40,28)s(32,24,20)c(32,32,20)*-
c(40,32,20)s(16,40,12)s(32,24,12)+-
c(40,24,20)s(24,40,20)t(40,48,20)--
c(24,32,12)t(48,40,12)s(32,48,12)++
s(32,48,20)t(32,48,12)-t(32,48,20)+
s(40,40,28)s(48,24,20)*s(48,40,20)+
s(40,40,28)t(24,40,20)-s(24,32,12)+
s(32,16,20)s(16,32,20)-c(24,16,12)+
s(24,24,28)t(24,24,20)-t(40,24,20)+
s(24,32,28)s(40,48,20)s(40,32,20)*-
s(48,24,12)s(24,24,20)+c(32,24,20)*
s(32,32,28)t(24,24,20)-c(24,32,12)-
c(32,24,20)s(8,16,12)+t(40,24,12)-
c(32,24,20)s(40,16,20)-s(48,8,12)+
s(16,16,20)t(40,24,12)+s(40,32,20)-
s(8,16,12)c(24,40,20)+t(40,40,12)-
c(32,32,20)s(40,40,12)t(16,48,12)+-
t(24,16,12)s(40,48,20)+c(32,32,12)-
c(24,40,12)c(40,32,20)t(32,32,28)*+
t(40,32,20)s(16,40,20)+t(48,56,12)+
c(24,40,20)s(32,40,28)*t(16,32,12)-
s(32,40,28)c(32,24,20)*t(24,48,12)+
s(16,32,20)s(32,24,28)t(24,48,28)-+
s(40,24,28)s(32,24,12)-c(40,24,20)*
c(32,40,20)c(16,32,12)-s(24,40,12)-
s(24,40,28)s(32,32,28)t(40,16,12)-*
s(24,32,20)c(40,32,12)-t(48,48,12)+
c(16,48,12)s(48,48,20)c(32,32,28)*+
s(16,32,20)t(24,32,28)*c(32,24,20)+
c(24,40,20)t(32,32,12)-t(40,48,12)-
s(32,24,20)s(40,32,20)*s(48,40,20)+
s(48,40,20)t(24,32,20)+c(32,40,20)*
s(16,24,20)c(40,24,20)-s(32,32,28)+
c(40,16,12)s(16,8,12)+c(16,32,12)+
c(40,40,20)s(32,40,20)t(48,32,12)+*
s(16,16,12)s(48,16,20)+s(16,32,20)-
c(32,32,20)s(40,48,12)-s(8,48,12)+
s(32,24,20)s(16,16,20)+t(24,48,28)-
c(24,24,20)c(16,40,12)-s(40,16,12)-
s(16,16,20)s(24,32,28)+s(16,32,20)-
s(24,16,20)c(32,32,12)+s(24,32,28)*
s(32,16,20)t(32,32,12)s(16,8,12)++
s(24,32,28)t(16,16,12)-s(24,48,12)-
c(32,32,12)s(32,16,20)c(48,16,12)-+
c(32,16,12)s(40,8,12)t(16,24,12)++
t(32,48,28)s(32,32,20)*c(40,16,12)+
s(48,16,20)s(16,32,20)+c(40,32,12)-
s(32,40,28)s(32,16,20)s(32,24,20)*+
c(40,32,20)t(48,48,12)-t(32,48,12)-
c(24,16,12)s(32,48,20)t(40,48,20)*+
c(40,24,20)s(32,32,20)*s(8,16,12)+
t(24,24,12)t(32,40,28)c(32,40,20)*+
t(48,48,12)c(24,24,12)+s(16,32,12)+
c(48,16,12)t(40,40,20)s(24,24,20)-+
s(32,16,20)s(24,32,28)+s(24,40,12)-
s(32,48,12)s(32,24,20)s(24,24,20)*+
s(40,40,20)t(16,40,12)+c(32,40,20)*
s(8,32,12)c(32,40,12)c(32,24,12)++
c(24,40,20)s(24,24,12)-s(24,32,28)*
s(48,48,20)t(32,24,20)s(24,24,20)*+
s(48,16,20)c(40,32,20)*t(24,32,20)+
c(24,24,20)s(32,48,12)+t(24,32,28)*
t(24,48,20)s(40,48,20)s(32,48,20)*+
s(32,32,28)c(16,24,12)-t(32,40,28)*
t(48,24,12)s(8,16,12)t(24,32,28)++
s(16,48,20)t(32,40,28)+s(40,48,20)-
c(32,24,20)c(40,24,20)*s(40,32,28)*
s(48,16,20)s(16,16,20)s(32,16,12)-+
s(32,40,20)s(48,32,12)-s(32,16,20)+
s(16,40,20)t(32,24,20)-c(40,24,20)+
s(32,40,28)c(24,48,12)-s(32,24,12)-
s(24,24,28)s(24,16,20)s(32,24,28)*-
s(8,40,12)s(40,48,20)s(40,48,12)-+
s(48,32,20)s(40,40,12)-t(24,56,12)+
c(24,24,20)s(16,16,12)t(40,56,12)+-
s(24,40,20)s(16,32,20)*t(32,24,20)+
t(32,48,28)s(16,32,20)-c(48,24,12)+
s(32,40,28)t(40,48,12)c(16,24,12)++
s(48,48,12)s(32,32,28)c(24,40,20)*+
s(24,24,28)s(32,32,20)s(40,40,28)*-
t(24,48,20)t(32,32,20)-c(32,24,12)+
s(40,32,28)s(40,40,28)*c(40,40,20)*
c(32,24,20)t(32,48,28)c(32,32,20)*-
s(32,32,28)t(40,32,20)s(40,16,12)--
s(48,8,12)c(40,32,20)s(24,24,20)++
t(24,40,12)c(40,16,12)+c(16,48,12)+
c(32,32,20)t(32,32,12)-s(24,16,12)-
s(32,32,28)s(40,32,28)t(24,32,20)-*
c(32,32,28)s(16,40,12)-t(24,48,28)-
t(32,24,20)t(40,32,12)-s(16,32,20)+
t(24,40,28)t(24,48,28)*s(32,24,12)+
s(40,16,20)t(48,56,12)+s(16,32,12)+
s(24,16,20)t(24,24,20)*t(24,40,28)+
c(32,40,20)c(32,24,12)+s(48,40,20)-
s(48,24,12)s(24,40,28)c(32,32,28)*+
c(40,40,20)s(32,40,28)s(48,16,20)-*
t(32,32,28)s(8,32,12)s(32,16,12)+-
s(32,24,12)t(48,56,12)s(16,24,12)++
s(24,32,28)s(32,24,28)c(32,40,20)*-
c(40,24,20)c(32,24,20)s(24,40,20)*-
s(16,32,20)s(40,32,20)s(24,40,12)-+
t(24,48,28)c(32,24,20)c(32,40,12)--
s(40,32,28)t(40,48,20)s(16,24,20)++
s(48,48,20)c(32,32,20)+c(24,40,12)-
c(40,24,20)t(24,40,28)s(32,24,20)-+
s(40,24,28)s(48,40,12)-t(32,48,28)-
s(32,32,28)t(40,40,12)-c(32,24,20)*
c(40,40,20)s(48,32,20)*s(24,32,12)+
c(32,32,20)t(24,40,12)-t(40,48,20)+
c(40,40,20)c(32,40,20)c(24,24,12)+*
c(24,32,20)s(48,48,20)+c(16,48,12)-
c(32,32,20)t(32,40,20)s(48,24,20)+*
s(32,8,12)c(40,24,20)+s(32,32,28)*
s(48,24,20)t(48,16,12)-s(16,40,20)+
s(16,16,12)s(48,16,20)t(32,40,28)++
c(40,24,20)s(40,16,20)*s(8,32,12)+
c(24,32,20)s(40,24,20)s(24,32,12)--
c(32,24,20)t(40,40,20)-s(16,16,12)+
c(24,32,12)s(16,40,20)+s(32,16,20)-
t(24,40,28)c(24,24,20)c(24,16,12)-+
s(32,40,28)s(32,32,28)t(24,16,12)-*
c(40,40,20)c(16,24,12)+s(40,24,20)-
c(40,32,20)s(40,32,28)t(32,16,12)-*
t(32,48,12)s(32,16,20)c(32,40,20)-+
s(24,40,28)t(24,24,20)c(40,32,12)--
s(24,40,12)s(40,16,12)+s(32,24,20)+
c(32,32,28)c(32,24,20)-t(32,32,28)-
c(32,32,28)s(24,24,28)*c(32,40,12)-
c(40,40,20)s(32,32,20)t(40,32,20)*-
s(16,40,20)s(32,32,28)s(24,16,20)-+
s(32,32,28)s(40,32,28)*s(24,32,28)*
c(24,24,20)s(40,40,28)s(32,48,20)--
t(24,24,20)t(32,32,28)t(24,32,28)*+
s(32,32,28)c(24,32,20)*s(16,48,12)-
t(24,48,28)c(32,48,12)-s(24,24,12)+
c(32,32,28)t(24,32,28)c(40,24,20)*-
c(32,32,28)s(16,48,12)-s(16,24,20)-
s(40,40,28)c(32,40,20)*c(48,32,12)-
c(24,24,20)s(40,24,28)*c(32,40,20)+
c(24,16,12)s(48,48,20)t(32,40,20)-+
s(40,32,28)c(32,24,20)c(40,24,20)**
t(24,32,28)s(32,40,28)*s(48,16,12)+
s(48,32,20)s(32,32,28)*t(32,48,28)+
t(16,56,12)s(24,24,28)c(32,24,20)*+
t(24,32,28)s(24,24,20)s(40,24,28)*+
s(48,24,20)c(40,32,12)-t(40,32,20)+
s(16,16,20)s(40,32,20)s(32,16,20)-+
s(32,24,28)s(32,40,20)s(40,24,28)*-
c(32,24,20)s(16,48,20)t(32,16,12)++
s(48,32,12)t(32,32,20)+t(24,40,20)+
c(24,32,20)c(40,48,12)+s(32,24,28)*
s(40,32,28)s(32,32,28)*c(16,40,12)-
s(24,48,20)t(32,40,28)*s(8,8,12)+
s(24,24,28)s(48,40,20)s(16,32,20)+*
c(24,24,20)t(24,40,20)t(32,40,28)*-
c(24,32,20)s(24,48,20)c(40,40,20)*-
s(32,40,12)c(48,40,12)t(24,48,12)++
s(24,48,20)s(48,16,20)+c(32,32,28)*
c(40,24,12)s(32,24,28)t(24,32,28)*+
c(40,32,20)c(24,32,20)*s(48,48,20)+
c(24,16,12)t(24,40,20)t(32,32,12)-+
c(24,32,20)c(24,48,12)-t(40,48,20)-
s(32,40,12)t(24,40,20)s(8,24,12)++
c(40,24,20)t(24,32,20)-c(48,48,12)+
c(24,32,20)s(24,32,28)s(16,16,20)-*
c(16,16,12)s(24,24,28)s(40,40,28)*+
s(32,24,20)s(16,48,12)+s(40,24,28)*
c(40,32,20)c(32,40,20)*t(48,56,12)+
t(48,40,12)t(24,32,28)+s(32,24,28)*
t(24,32,20)c(40,32,20)+s(16,40,12)-
c(40,24,12)c(24,40,20)+t(24,24,12)-
s(40,16,20)c(40,32,20)s(40,40,20)*+
s(32,32,28)s(40,40,20)s(24,32,28)*-
s(24,32,20)s(48,40,20)c(32,40,20)*+
s(24,8,12)s(48,40,20)t(32,48,20)-+
s(40,48,20)s(32,40,28)*s(48,32,12)+
s(40,24,28)t(32,40,28)t(32,32,12)-+
c(32,24,20)s(32,32,28)*c(48,40,12)-
s(24,32,28)s(32,24,12)-c(24,40,20)*
s(48,24,20)s(24,32,20)-t(24,56,12)+
s(32,24,28)s(48,32,12)s(24,32,28)+*
t(24,32,28)s(16,48,20)-s(16,32,12)+
s(32,8,12)s(40,24,28)s(48,16,20)-+
c(32,24,20)s(24,24,28)*s(32,32,28)*
s(40,24,28)s(16,32,20)t(32,32,28)-+
s(32,40,28)s(16,48,20)*c(24,16,12)+
s(8,16,12)s(24,32,20)+c(24,32,20)*
c(32,32,28)c(32,32,28)c(32,32,20)--
c(32,24,12)s(48,32,20)+s(24,40,12)+
s(40,32,12)s(16,32,20)+s(48,16,20)-
c(40,40,20)c(16,16,12)+t(32,32,20)-
c(40,32,20)t(40,48,12)-t(48,16,12)-
t(16,24,12)s(40,24,28)+s(16,24,12)-
s(24,32,28)t(24,48,28)t(32,32,28)*-
s(24,32,20)t(24,48,28)*s(16,24,20)+
c(32,32,20)s(40,48,12)+s(16,24,12)-
s(40,24,28)s(24,48,20)-t(40,24,12)-
c(40,32,20)s(32,48,20)s(48,48,20)*+
s(32,32,28)c(40,24,12)-s(24,40,12)-
s(32,24,12)s(16,32,20)c(40,24,20)-+
s(32,8,12)s(40,32,28)s(16,48,20)-+
c(32,32,28)s(24,16,20)s(24,32,12)+-
c(32,48,12)s(32,24,28)+c(16,40,12)-
s(40,32,28)t(40,16,12)-c(40,32,20)*
c(32,32,28)c(40,32,20)-s(8,48,12)-
s(40,48,20)t(40,40,20)+s(32,32,12)+
