Legal or Not Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 32768/32768 K (Java/Others) Total then problem occurs: there are too many masters and too many prentices, how can we know whether it is legal We all know a master can have many prentices and a prentice may have a lot of masters too, it's legal To avoid this,please help us to judge whether their relationship is legal or not. If it is legal, output "YES", otherwise "NO".
if(sum==n) printf("YES\n"); else printf("NO\n"); } return 0; } /*** [来源] HDU 3342 [题目] Legal
SpringCloud服务,在启动两个A服务,然后使用B服务通过feign调用A时,出现以下错误: java.lang.IllegalStateException: Service id not legal
HttpServletRequest request = ServletActionContext.getRequest();String lid = request.getParameter("lid");Legal legal = appointmentService.selectLegalByLid(lid);request.setAttribute("legal", legal);return "updateLegal legal = new Legal();legal.setLid(Integer.parseInt(lid));legal.setIssued(issued);legal.setTitle(title );legal.setContent(content);legal.setType(type);legal.setDeleted(deleted);legal.setCreateTime(createTime );legal.setEffective(effective);appointmentService.updateLegalBS(legal);this.page = 1;return selectLegal
= "_"): print "%s is legal identifier for Python!" 2" % idInput else: print "%s isn't legal identifier for Python! _d4% _d4% isn't legal identifier for Python! _d4% _d4% isn't legal identifier for Python! #! = "_"): print "%s is legal identifier for Python!"
Multi-Task CNN for Classification of Chinese Legal Questions(2017), Guangyi Xiao et al. An Ontological Chinese Legal Consultation System(2017), Ni Zhang et al. Legal NLP Introduction(2017), Adeline Nazarenko et al. Text summarization from legal documents: a survey(2017), Ambedkar Kanapala et al. Legal judgment prediction via topological learning(2018), Haoxi Zhong et al.
输出格式: 对每个非法输入,在一行中输出“ERROR: X is not a legal number”,其中X是输入。 输入样例1: 7 5 -3.2 aaa 9999 2.3.4 7.123 2.35 输出样例1: ERROR: aaa is not a legal number ERROR: 9999 is not a legal number ERROR: 2.3.4 is not a legal number ERROR: 7.123 is not a legal number The average of 3 numbers is 1.38 输入样例2: 2 aaa -9999 输出样例2: ERROR: aaa is not a legal number ERROR: -9999 is not a legal number The average of 0 numbers is Undefined #include <iostream> #include
("legal-ner", model="nlpaueb/legal-bert-base-uncased-ner-english")# 替换为实际法规文本text = "《合同法》第二十条规定..." legal_entities = legal_nlp(text)print("法规实体提取结果:", legal_entities)2.2 法律案例分析NLP技术可以通过对法律案例进行自动化分析,为律师提供有关判决趋势 "legal-sentiment-analysis", model="nlpaueb/legal-bert-base-uncased-sentiment-analysis-english")# 替换为实际法律案例文本 sentiment = legal_nlp(case_text)print("法律案例情感分析结果:", sentiment)3. ", model="nlpaueb/legal-bert-base-uncased-qa-english")# 替换为实际法律问题question = "合同中违约责任的法律依据是什么?"
legal similarity to legal: 100.0 adventure similarity to legal: 41.6 belles_lettres similarity to legal : 72.4 editorial similarity to legal: 68.8 fiction similarity to legal: 42.9 government similarity to legal: 80.6 hobbies similarity to legal: 63.5 humor similarity to legal: 50.1 learned similarity to legal: 80.6 lore similarity to legal: 78.6 mystery similarity to legal: 41.3 news similarity to legal : 58.1 religion similarity to legal: 81.2 reviews similarity to legal: 73.5 romance similarity to legal
用legal文件来做示例 $ cat /etc/legal The programs included with the Ubuntu system are free software; the exact 搜索统计单词“law”的个数 $ awk -F : '/law/{count++} END{print "the count is ",count}' /etc/legal the count is 1 统计单词“the”的个数 $ awk -F : '/the/{count++} END{print "the count is ",count}' /etc/legal the count is 统计各行出现的次数,并把次数打印在每行前端 awk参数 NF - 浏览记录的域的个数 综合起来,命令就是 awk -F' ' '{for(i=1;i<=NF;i=i+1){print $i}}' /etc/legal | sort|uniq -c|sort -nr|awk -F' ' '{printf("%s %s\n",$2,$1)}' 统计/etc/legal中单词出现次数,并以“单词 次数”格式输出结果
arrStack<char> charstack(100); cout << "please enter a string to check its brackets legal legal) break; //如果非法,不必循环了,直接退出 } if(legal && charstack.Empty()) // 如果合法,且符号都匹配了(栈为空) cout << "legal string !" legal) break; //如果非法,不必循环了,直接退出 } if(legal && charstack.Empty()) // 如果合法,且符号都匹配了(栈为空) cout << "legal string !"
输出格式: 对每个非法输入,在一行中输出 ERROR: X is not a legal number,其中 X 是输入。 输入样例 1: 7 5 -3.2 aaa 9999 2.3.4 7.123 2.35 输出样例 1: ERROR: aaa is not a legal number ERROR: 9999 is not a legal number ERROR: 2.3.4 is not a legal number ERROR: 7.123 is not a legal number The average of 3 numbers is 1.38 输入样例 2: 2 aaa -9999 输出样例 2: ERROR: aaa is not a legal number ERROR: -9999 is not a legal number The average of 0 numbers is Undefined 最后这几题都是赞的不会做的,现在看这几道真的恶心死了,放一块 又是抄的柳神答案 haha scanf
= self.data['LEGAL_REPRESENTATIVE'] # 法人代表 # 构建节点实体关系 rels_region = [] # 企业-地区关系 locate = [] # 企业-法人代表关系 legal for index, row in self.data.iterrows(): if (row['PROVINCE_CH'] is ), set(enterprise_type), set(legal_representative), \ rels_region, rels_country, rels_type ', Legal_representatives) # 法人代表 # print('法人代表:' + len(Legal_representatives)) return '''创建实体关系边 ', rels_legal, 'legal', '法人') 最后是main函数: if __name__ == '__main__': # 获取当前路径,并转换为正确格式 cur_dir
输出格式: 对每个非法输入,在一行中输出 ERROR: X is not a legal number,其中 X 是输入。 输入样例 1: 7 5 -3.2 aaa 9999 2.3.4 7.123 2.35 输出样例 1: ERROR: aaa is not a legal number ERROR: 9999 is not a legal number ERROR: 2.3.4 is not a legal number ERROR: 7.123 is not a legal number The average of 3 numbers is 1.38 输入样例 2: 2 aaa -9999 输出样例 2: ERROR: aaa is not a legal number ERROR: -9999 is not a legal number The average of 0 numbers is Undefined 【我的代码】 // 1054 求平均值 (20 分).cpp : 此文件包含 "main" 函数
computer = "X","O" else: human, computer = "O", "X" return human, computer def legal_moves if board[move] ==" ": moves.append(move) return moves def human_move(board): legal =legal_moves(board) move = int(input("你要走哪个位置? (0 - 8):")) while move not in legal: move = int(input("你要走哪个位置? ] # 最优的位置 best_moves = (4, 0, 2, 6, 8, 1, 3, 5, 7) # 如果电脑可以赢,就下该位置 for move in legal_moves
更新 • 2023/05/15:发布 中文法律数据源汇总(Awesome Chinese Legal Resources)[2] 和 法律领域词表[3]• 2023/05/13:公开发布•Legal-Base -7B:法律基座模型,使用 50w 中文裁判文书数据二次预训练•LaWGPT-7B-beta1.0:法律对话模型,构造 30w 高质量法律问答数据集基于 Legal-Base-7B 指令精调• 2023 Legal-Base-7b 模型基于 Chinese-LLaMA-7B 模型进行二次预训练,得到模型的具体步骤如下。 [16]1. 获取 legal-lora-7b 模型权重 其次,下载[20] legal-lora-7b 模型权重, 将模型权重文件夹移动至 models/lora_weights 目录下,如 models/lora_weights /legal-lora-7b [21]3.
The answer must be legal: it must start and end at street level (0 meters above ground) and it may never Among the legal solutions he wants one that minimizes the required building height. Both are legal, but the second one is better (in fact optimal) because it only requires a building of If the distances are 3 2 5 3 1 2, an optimal legal solution is to go up, up, down, up, down, down. Note that for some distance sequences there is no legal solution at all (e.g., for 3 4 2 1 6 4 5).
""" # 解析法律文本 structured_text = structurizer.parse_legal_text(sample_legal_text) "recent_legal_references_percentage": (recent_legal_refs / total_legal_refs * 100) if total_legal_refs ("legal_terms.json") # 从语料库中提取法律术语 optimizer.extract_legal_terms_from_corpus("legal_corpus.txt /legal_model_output_{self.config['legal_task_type']}" self.logger.info(f"保存模型到: {save_dir /legal_corpus/contracts.txt", "./legal_corpus/judgments.txt", ".
输出格式: 对每个非法输入,在一行中输出 ERROR: X is not a legal number,其中 X 是输入。 输入样例 1: 7 5 -3.2 aaa 9999 2.3.4 7.123 2.35 输出样例 1: ERROR: aaa is not a legal number ERROR: 9999 is not a legal number ERROR: 2.3.4 is not a legal number ERROR: 7.123 is not a legal number The average of 3 numbers is 1.38 输入样例 2: 2 aaa -9999 输出样例 2: ERROR: aaa is not a legal number ERROR: -9999 is not a legal number The average of 0 numbers is Undefined 这道题的难点在于非法字符串的判断,关于这个我们引入两个工具函数ssanf和sprintf ,介绍如下
PS userdict /setpagedevice undef legal { null restore } stopped { pop } if legal mark /OutputFile (%pipe PS userdict /setpagedevice undef save legal { null restore } stopped { pop } if { legal } stopped { pop