swust oj 0116 括号匹配

本文讨论了算术表达式中括号匹配的问题,包括大括号、中括号、小括号和尖括号的匹配规则。对于每个合法的括号表达式,要求遵循特定的嵌套顺序,并且左右括号数量相等。举例说明了合法和非法的括号组合,并提供了一个包含100个括号表达式的数据集进行分析,输出其合法性。

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题意描述: 在算术表达式中,除了加、减、乘、除等运算外,往往还有括号。包括有大括号{},中括号[],小括号(),尖括号<>等。 对于每一对括号,必须先左边括号,然后右边括号;如果有多个括号,则每种类型的左括号和右括号的个数必须相等;对于多重括号的情形,按运算规则,从外到内的括号嵌套顺序为:大括号->中括号->小括号->尖括号。例如,{[()]},{()},{ {}}为一个合法的表达式,而([{}]),{([])},[{<>}]都是非法的。

Description

文件的第一行为一个整数n(1≤n≤100),接下来有n行仅由上述四类括号组成的括号表达式。第i+1行表示第i个表达式。每个括号表达式的长度不超过255。

Input

在输出文件中有N行,其中第I行对应第I个表达式的合法性,合法输出YES,非法输出NO。

Output
### SWUST OJ Problem 32 Information and Solution Unfortunately, specific details about SWUST OJ problem number 32 are not directly provided in the available references. However, based on similar problems from this platform such as those mentioned in other citations, a general approach to solving typical programming challenges can be outlined. #### Understanding Common Elements of Programming Problems on SWUST OJ Platform Problems like SWUSTOJ276, SWUSTOJ77, SWUSTOJ78, SWUSTOJ1286, and SWUSTOJ1285 emphasize proper use of `if` and `else` statements along with maintaining good coding practices including appropriate formatting[^1]. For instance, when dealing with numerical outputs, `%g` is used for automatic selection between fixed-point notation (`%f`) or scientific notation (`%e`), depending on which provides more compact output without loss of precision. Given that detailed specifics regarding problem 32 aren't present here, one should look at common patterns found across different types of questions posed by platforms like these: - **Input Handling**: Typically involves reading inputs either single values or arrays/lists. - **Logic Implementation**: Applying algorithms ranging from simple arithmetic operations up through complex data structures manipulation. - **Output Formatting**: Ensuring results adhere strictly to specified formats using placeholders like `%d`, `%s`, etc., where applicable. Since no direct reference exists specifically addressing SWUST OJ problem 32 within given sources, consider exploring adjacent numbered problems around it for clues about its nature—whether mathematical computation, string processing, dynamic programming elements, et cetera—and adapt solutions accordingly while keeping best practice guidelines intact. ```c // Example C code snippet demonstrating basic structure often seen in contest-style programs #include <stdio.h> int main() { int n; scanf("%d", &n); // Read input value if (condition_based_on_problem_statement) { printf("Result under condition A\n"); } else { printf("Alternative result\n"); } return 0; } ``` --related questions-- 1. How does understanding how `%g` works help improve program efficiency? 2. What strategies could apply towards optimizing performance in competitive programming contests? 3. Can you provide examples illustrating effective usage of conditional operators (`if`, `else`) in algorithm design?
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