Problem K. Expression in Memories

本文介绍了一个有趣的问题:根据部分已知和未知字符的记忆重构一个有效的数学表达式。通过替换问号来寻找可能的有效表达式,并提供了算法实现思路。

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Problem K. Expression in Memories

Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 262144/262144 K (Java/Others)
Total Submission(s): 0    Accepted Submission(s): 0
Special Judge

 

Problem Description

Kazari remembered that she had an expression s0 before.
Definition of expression is given below in Backus–Naur form.
<expression> ::= <number> | <expression> <operator> <number>
<operator> ::= "+" | "*"
<number> ::= "0" | <non-zero-digit> <digits>
<digits> ::= "" | <digits> <digit>
<digit> ::= "0" | <non-zero-digit>
<non-zero-digit> ::= "1" | "2" | "3" | "4" | "5" | "6" | "7" | "8" | "9"
For example, `1*1+1`, `0+8+17` are valid expressions, while +1+1, +1*+1, 01+001 are not.
Though s0 has been lost in the past few years, it is still in her memories. 
She remembers several corresponding characters while others are represented as question marks.
Could you help Kazari to find a possible valid expression s0 according to her memories, represented as s, by replacing each question mark in s with a character in 0123456789+* ?

 

 

Input

The first line of the input contains an integer T denoting the number of test cases.
Each test case consists of one line with a string s (1≤|s|≤500,∑|s|≤105).
It is guaranteed that each character of s will be in 0123456789+*? .

 

 

Output

For each test case, print a string s0 representing a possible valid expression.
If there are multiple answers, print any of them.
If it is impossible to find such an expression, print IMPOSSIBLE.

 

 

Sample Input


 

5

?????

0+0+0

?+*??

?0+?0

?0+0?

 

 

Sample Output


 

11111

0+0+0

IMPOSSIBLE

10+10

IMPOSSIBLE

 

wa的我心慌,对了,

isdigit(x),x为char类型,如果x>='0'&&x<='9'返回值为true(1)否则返回false(0)

是判断一个字符是否是数字的函数

 

填空

1      0?    ? = +      (0是第一个)

2      +0?或者*0?    ? = +

3      ?             ? = 1

 

查询

 

1     **,++,*+,+*不行

2    01不行

3    +--------------+       最前,后不能是+或*

#include<bits/stdc++.h>
#define ll long long
using namespace std;
char a[100005];
int main()
{
    int t;
    scanf("%d",&t);
    while(t--)
    {
        scanf("%s",a);
        int len = strlen(a);
        for(int i=0;i<len;i++)
        {
            if(a[i]=='?')
            {
                if(i==0)
                    a[i]='1';
                else
                {
                    if(i-2>=0 && !isdigit(a[i-2]) && a[i-1]=='0')
                        a[i]='+';
                    else if(i==1 && a[0]=='0')
                        a[i]='+';
                    else
                        a[i]='1';
                }
            }
        }
        int flag = 0;

        for(int i=0;i<len-1;i++)
        {
            if(!isdigit(a[i])&&!isdigit(a[i+1]))
            {
                flag = 1;
                break;
            }
            else if((i==0 || !isdigit(a[i-1]))&& a[i]=='0' && isdigit(a[i+1]))
            {
                flag = 1;
                break;
            }
        }
        if(!isdigit(a[0])||!isdigit(a[len-1]))
            flag = 1;
        if(flag)printf("IMPOSSIBLE\n");
        else printf("%s\n",a);
    }
    return 0;
}

 

好哒 那我们来继续讨论情感系统吧import threading import time import random import logging from .affective_modules.affective_core import AffectiveCore from .affective_modules.affective_memory import AffectiveMemory from .affective_modules.affective_growth import AffectiveGrowth from .affective_modules.affective_processing import AffectiveProcessing from .affective_modules.affective_integration import AffectiveIntegration class AffectiveSystem: """情感系统主类 - 保持原有文件名和接口""" def __init__(self, agent): self.agent = agent self.logger = logging.getLogger('AffectiveSystem') self._init_logger() # 初始化各模块 self.core = AffectiveCore() self.memory = AffectiveMemory() self.growth = AffectiveGrowth(self.core) self.processing = AffectiveProcessing(self.core, self.memory) self.integration = AffectiveIntegration(agent, self.core) # 启动情感生长线程 self._growth_active = True self._growth_thread = threading.Thread(target=self.emotional_growth_loop, daemon=True) self._growth_thread.start() self.logger.info("🟢 情感系统初始化完成 - 模块化架构") def _init_logger(self): """初始化日志记录器""" if not self.logger.handlers: handler = logging.StreamHandler() formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') handler.setFormatter(formatter) self.logger.addHandler(handler) self.logger.setLevel(logging.INFO) self.logger.propagate = False def emotional_growth_loop(self): """情感生长循环""" self.logger.info("情感生长线程已启动") while self._growth_active: try: # 情感状态自然变化 self.growth.natural_variation() # 情感记忆巩固 self.memory.consolidate_memories() # 情感纽带深化 self.memory.deepen_sentiments() # 情感状态自然衰减 self.growth.emotion_decay() # 更新心情 self.growth.update_mood() # 定期保存状态 (10%概率) if random.random() < 0.1: self.core.save_state() time.sleep(10) # 每10秒运行一次 except Exception as e: self.logger.error(f"情感生长循环异常: {str(e)}") time.sleep(30) def process_stimulus(self, stimulus): """处理情感刺激 - 保持原有接口""" try: self.logger.info(f"处理情感刺激: {stimulus.get('type', 'unknown')}") # 1. 情感识别 emotion_type = self.processing.identify_emotion(stimulus) # 2. 情感生成 self.processing.generate_emotion(emotion_type, stimulus) # 3. 情感评估 self.processing.evaluate_emotion(emotion_type) # 4. 记忆存储 self.memory.store_emotion(emotion_type, stimulus, self.core.emotion_state) # 5. 整合认知系统 cognitive_response = self.integration.integrate_cognition(stimulus) # 6. 触发学习机制(如果适用) if emotion_type == "interest" and "topic" in stimulus: self.integration.trigger_learning(stimulus["topic"]) # 更新心情 self.growth.update_mood() return { "emotion_state": self.core.get_state(), "cognitive_response": cognitive_response } except Exception as e: self.logger.error(f"处理情感刺激失败: {str(e)}") return {"error": str(e)} # 保持原有接口方法 def get_state(self): """获取当前情感状态 - 保持原有接口""" state = self.core.get_state() bonds_info = self.memory.get_bonds_info() return {**state, **bonds_info} def analyze_sentiment(self, text): """分析文本情感 - 保持原有接口""" return self.processing.analyze_sentiment(text) def express_emotion(self): """表达当前情感状态 - 保持原有接口""" return self.integration.express_emotion() def record_learning_intention(self, model_name): """记录学习意愿 - 保持原有接口""" self.integration.record_learning_intention(model_name) def record_achievement(self, achievement): """记录成就 - 保持原有接口""" self.memory.record_achievement(achievement) def add_capability_association(self, capability): """添加能力与情感的关联 - 保持原有接口""" self.memory.add_capability_association(capability) def shutdown(self): """关闭情感系统 - 保持原有接口""" self._growth_active = False self.core.save_state() if self._growth_thread and self._growth_thread.is_alive(): self._growth_thread.join(timeout=5.0) if self._growth_thread.is_alive(): self.logger.warning("情感生长线程未能正常停止") self.logger.info("情感系统已安全关闭")
最新发布
08-11
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