团体程序设计天梯赛(CCCC) L3019 代码排版 方法与编译原理密切相关,只有一个测试点段错误

时间:2021-06-16 18:08:02

团体程序设计天梯赛代码。体现代码技巧,比赛技巧。  https://github.com/congmingyige/cccc_code

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" alt="" />

 #include <cstdio>
#include <cstdlib>
#include <cmath>
#include <cstring>
#include <algorithm>
using namespace std; const int maxn=1e3+; char str[maxn],c=' ';
int i,j,len,w=; ///结构体:函数相互调用
struct node
{
//void error()
//{
// printf("wrong at %d",i);
// exit(0);
//} void print(int x,int y)
{
for (int z=x;z<=y;z++)
printf("%c",str[z]);
} void pb()
{
for (int k=;k<=w*;k++)
printf("%c",c);
} void cls()
{
while (str[i]==' ')
i++;
} ///a line with end character ';'
/**
题目已经明确说明:
顺序执行的程序体是以分号“;”结尾的,遇到分号就换行; 另外的想法:
如果使用注释//,则注释到底(代码只有一行),连'}'都会被注释掉
如果使用#define,也不行,stray '#' in program
**/
void work5()
{
pb();
j=i;
///这里代码有问题
// while (str[i]!=';')
while (i<len && str[i]!=';')
i++;
if (i==len)
{
i--;
exit();
}
print(j,i);
i++;
printf("\n");
} ///condtion
///前后都可能有空格
///中间有可能有多个括号
void work4()
{
printf("%c",c);
cls();
j=i; i++;
int g=;
while (g!=)
{
if (str[i]=='(')
g++;
if (str[i]==')')
g--;
i++;
if (i>=len)
break;
}
i--; print(j,i),i++;
cls();
printf("%c",c);
} ///for while
void work3()
{
pb();
if (str[i]=='f')
printf("for"),i+=;
else
printf("while"),i+=;
work4();
work1(str[i]=='{');
} ///if
void work2()
{
pb();
printf("if"),i+=;
work4();
work1(str[i]=='{'); ///如果可以没有else: if else 就近原则
cls();
if (len-i>= && str[i]=='e' && str[i+]=='l' && str[i+]=='s' && str[i+]=='e')
{
pb();
printf("else%c",c),i+=;
cls();
work1(str[i]=='{');
}
} ///{}
void work1(int cond)
{
cls();
if (cond==)
pb();
printf("{\n");
if (cond!=)
i++;
w++;
while ()
{
///段错误 / 运行超时 -> 答案错误
// if (i>=len)
// break; cls();
if (str[i]=='}' || i>=len) ///|| i>=len test
break;
cls();
if (len-i>= && str[i]=='{')
work1();
else if (len-i>= && str[i]=='i' && str[i+]=='f')
work2();
else if ((len-i>= && str[i]=='f' && str[i+]=='o' && str[i+]=='r')
||
(len-i>= && str[i]=='w' && str[i+]=='h' && str[i+]=='i' && str[i+]=='l' && str[i+]=='e'))
work3();
else
work5();
if (cond==)
break;
}
w--;
pb();
printf("}\n");
cls();
if (cond!=)
i++;
if (i==len)
return;
// if (str[i]=='{')
// print(i,i);
// else
// error();
}
}f; int main()
{
int j,k;
fgets(str,maxn,stdin);
len=strlen(str); ///special
if (str[len-]=='\n')
len--,str[len]=; for (i=;i<len;i++)
if (str[i]=='{')
break; j=;
while (str[j]==' ')
j++;
k=i-;
while (str[k]==' ')
k--;
if (j<=k)
f.print(j,k);
printf("\n");
if (i!=len)
f.work1();
return ;
} ///if else
/*
int main(){int i;if (3>2) { i=1; } else {i=2;} } int main(){int i;if (3>2) if (5>4) i=3; else i=1; else i=2;} int main(){int i=0; if (3>2) while (i<2) { if (3>2) y=1; else y=2 while (i<3) i++;} else i--; return 0;} int main(){int i=0; if (3>2) i++;else if (3>2) i++;else if (3>2)i++; else i+=2; return 0;} int main(){ if (3>2) while (3>2) while (4>3) i++; else while (4>3) j--; }
*/ ///if ...
/*
int main() {if (3>2) { y=1; } return 0;} int main() {if (3>2) y=1; return 0;} int main(){if (3>2) {if (4>3) { if (5>3) {int i=3;} }}} int main(){if (3>2) if (4>3) if (5>3) int i=3;} int main() {if (3>2) while (3>2) {if (3>2) y=1; if (3>2) y=1; } return 0;} int main() { if (3>2) if (4>3) if (6>-2) y=3; else if (3>2) y=3; else y=4; return 0; } int main(){if (3>2) while(3>2){if (3>2) return 3; else return 2; }else while(3>2){while(5>3) y=1;} return 0;} int main(){if (3>2) while(3>2)if (3>2) return 3; else return 2; else while(3>2){while(5>3) y=1;} return 0;} int main(){int i=0; if (2<3) {if (3>2) while (i<2) while (i<3) i++; y=1; } return 0; } int main(){int i=0; if (3>2) i++;else if (3>2) i++;else if (3>2)i++; return 0;} */
///while
/*
int main(){while (1>3) while (3>2) while (5>3) i++; j--; k++;} int main(){while (1>3) if (3>2) y=3; else y=2 } int main(){while (1>3) if (3>2) y=3; } */
///for
/*
int main() { for (int i=1;i<=3;i++) for (int j=1;j<=5;j++) k++; } int main() { for (int i=1;i<=3;i++) while (3>2) if(3>2) y=3;} int main() { for (int i=1;i<=3;i++) while (3>2) if(3>2) y=3;} int main() { for (int i=1;i<=3;i++) while (3>2) for (int i=1;i<=3;i++) while (3>2) if (3>2) j=1; else j=2; } int main() { for (int i=1;i<=3;i++) for (int i=1;i<=3;i++) while (3>2) for (int i=1;i<=3;i++) while (3>2) j=1; } int main() { for (int i=1;i<=3;i++) for (int i=1;i<=3;i++) if (3>2) for (int i=1;i<=3;i++) for (int i=1;i<=3;i++) j=1; else for (int i=1;i<=3;i++) for (int i=1;i<=3;i++) j=1; } int main() {for (i=1;i<=(1<<3|1);i+=2) j=1+(2+3)*5; } int main() { for (i=1;i<=3;i++) { for (j=1;j<=3;j+=1+(2*(3*4))) while (1<3) { j=4; for (k=1;k<=3;k++) l=1; i=3; } i=1; j=2; k=3;} }
*/
///{}
/*
int main() { {int i=2;} if (3>2) if (4>3) else 5>3; else i=1; } int main(){ { i=3; {i=5;} } } int main() { if (3>2) i++; {int i=2;} {int i=2;} } int main() { {int i=2;} { {} } {} } int main() { {int i=2;} { {i=3; {}} {} } } int main() {{{{}}}} int main() {{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{ }}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}
{}
*/
///blank
/*
int main() { return 0; }
int main(){} int main() { if (3>2) i++; else j--; for (i=1;i<=5;i++) j++; while (3>2) i-; } int main() { if (3>2) { i++; } else { j--; } for (i=1;i<=5;i++) { j++; } while (3>2) { i-; } } int main() { if ( 3>2 ) i++; else if ( 5>3 &2<3) j--; for ( i=1;i<=3;i++ ) i--; while (1>3 ) j--; } int main() { if ( if (3>2) i++; ) i++;} int main() { for (i=1;i<=3;i++) if (i<2) break; else j=1; } int main() { for (i=1;i<=n;i++) for (j=1;j<=n;j++) if (i!=j) for (k=1;k<=n;k++) if (i!=k && j!=k) { a=1; } else b=2; else c=3; }
*/
///其它 不必实现
/* //仅多个空格 const int maxn=10; #include <cstdio> void work1(); void work2(); ///not need, can't work const int maxn=10; int main() { i=3; } int work1() { return 1; } int main() { printf("%d",work1()); } int main(){void work1() {i=1; void work2(){ i=2; } }} */
///wrong cases
/*
int main(){ //a=1 } int main(){ #define a=1 }
*/