Respan Dataset Explorer

Select one behavior. Every returned turn has one binary label: Present or Absent. Source: final dense boolean release.

5,167,182physical rows
86shards
0.00%qualified row coverage
0.00%qualified cell coverage
Random row JSON API

turns-00050.parquet:24775

db40aa3d0d18ac8cdc799ad3
turn 1/1gpt-4o-2024-08-06EnglishItaly826 words
degenerate_repetitionAbsentFinal dense release
USER
System: You are an expert Named Entity Recognition (NER) system. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Answer in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...

Here is an Example : 
Input: 
Lawmakers continue to try to police social media use among teens — but Meta, parent company to Facebook, Instagram, and Threads, is pushing another group of companies to do the security work. Meta is expected to announce a proposal on Nov. 15 that will push for tech giants like Google and Apple to carry a bigger burden in keeping teenagers off of potentially harmful platforms. Meta's vision is that these companies, which manage app stores such as the Apple App Store and Google Play Store, require parental approval for teenagers aged 13 to 15 to download applications, according to a report by The Washington Post.

Output:
Lawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments.  
social media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.
Meta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors.  
Facebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets.  
Instagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement.  
Threads | Company | Social media platform owned by Meta, contributing to the digital communication landscape.  
Nov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. 
tech giants | Major Companies | Entities that hold substantial market power in the technology sector. 
Google | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution.  
Apple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution.  
bigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company’s operations, often resulting in resource strain or inefficiencies.
Apple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics.  
Google Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics.  
Parental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage.  
The Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.
User: The winter storm rollming through the Northeast is on pace to be one of the biggest ever to hit the area. That will certainly lead to tweets like this one: Donald Trump Tweet Let's just take a moment to remember that Trump is not alone. In fact, it's a scientifically proven fact that people's opinions of global warming—an issue reaching over years and decades and centuries—can change based on the weather of a single day. Let's just say that again, to let it settle in. It's scientifically proven that the public will dampen its belief in global warming if the day they are being asked about it is colder than usual. According a study published in the Journal of the American Meteorological Society, two scientists proved the connection:
Assistant:
ASSISTANT
Northeast | Geographic Region | A region in the United States that can experience harsh weather conditions, relevant for economic impacts on transportation and logistics.

Winter storm | Weather Event | A significant meteorological occurrence often affecting economic activities such as transportation, energy consumption, and retail operations.

Donald Trump | Public Figure | Former President of the United States, influential in political and public discourse, including discussions on environmental policies.

Global warming | Environmental Concept | Long-term rise in Earth’s average temperature, significantly impacting economic policies, regulatory measures, and market dynamics.

scientifically proven | Research Validation Concept | Finding established through scientific methodology, important for policy-making and influencing public opinion.

public's belief | Public Opinion Concept | Collective views held by the general population, influential in market trends and economic policy decisions.

Journal of the American Meteorological Society | Academic Publication | A scientific journal providing peer-reviewed research articles, contributing to knowledge in meteorology and related economic impacts.

two scientists | Researchers | Individuals engaged in scientific inquiry, contributing to knowledge that can influence environmental and economic policies.

turns-00050.parquet:24776

e16f75e408122cd5f0fd7e43
turn 1/1gpt-4o-2024-08-06Englishunknown country847 words
degenerate_repetitionAbsentFinal dense release
USER
System: You are an expert Named Entity Recognition (NER) system. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Answer in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...

Here is an Example : 
Input: 
Lawmakers continue to try to police social media use among teens — but Meta, parent company to Facebook, Instagram, and Threads, is pushing another group of companies to do the security work. Meta is expected to announce a proposal on Nov. 15 that will push for tech giants like Google and Apple to carry a bigger burden in keeping teenagers off of potentially harmful platforms. Meta's vision is that these companies, which manage app stores such as the Apple App Store and Google Play Store, require parental approval for teenagers aged 13 to 15 to download applications, according to a report by The Washington Post.

Output:
Lawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments.  
social media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.
Meta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors.  
Facebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets.  
Instagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement.  
Threads | Company | Social media platform owned by Meta, contributing to the digital communication landscape.  
Nov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. 
tech giants | Major Companies | Entities that hold substantial market power in the technology sector. 
Google | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution.  
Apple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution.  
bigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company’s operations, often resulting in resource strain or inefficiencies.
Apple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics.  
Google Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics.  
Parental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage.  
The Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.
User: Russian President Vladimir Putin has outlined his plans for closer links with China and a new Eurasian union, as he slammed U.S. actions in Ukraine. Read More Recap: Catch up with the Putin session - as it happened D uring a speech and interview with CNBC Friday at the St. Petersburg International Economic Forum, Putin signaled Russia' s turn away from its former Western allies after the dispute over Ukraine's borders. Russia will still co-operate with the U.S. in combating terrorism and in other areas, but "you can't get people to like you," he said to laughter and rapturous applause from the mainly Russian audience. Russia is "going to focus on Eurasian investment" from now on, the president told the delegates. Putin's comments highlight a cooling in relations
Assistant:
ASSISTANT
Vladimir Putin | Political Figure | President of Russia, influential in global political and economic dynamics.
China | Country | Major global economic power and significant trading partner for Russia.
Eurasian union | Political/Economic Entity | Proposed regional union in Eurasia, focusing on economic and political cooperation.
U.S. | Country | United States of America, a significant global economic and political power, often involved in international conflicts and collaborations.
Ukraine | Country | Nation in Eastern Europe, central to geopolitical tensions involving Russia and Western countries.
CNBC | Media Organization | Financial news channel providing analysis and reporting on economic and political events.
St. Petersburg International Economic Forum | Event | Major economic forum held in Russia, focusing on economic and business discussions at an international level.
Russia | Country | Nation transitioning its economic focus as part of geopolitical strategy shifts.
Western allies | Political/Economic Entities | Nations traditionally aligned with Western political and economic interests, particularly in opposition to Russian geopolitical strategies.
Eurasian investment | Economic Strategy | Focus on attracting investments from Eurasian countries, part of Russia's economic pivot.
Combating terrorism | Security Initiative | Area of cooperation between nations, impacting international relations and security strategies.

turns-00050.parquet:24777

c4f0f45bdf22d805ffe7625c
turn 1/1gpt-4o-2024-08-06EnglishGermany923 words
degenerate_repetitionAbsentFinal dense release
USER
System: You are an expert Named Entity Recognition (NER) system. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Answer in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...

Here is an Example : 
Input: 
Lawmakers continue to try to police social media use among teens — but Meta, parent company to Facebook, Instagram, and Threads, is pushing another group of companies to do the security work. Meta is expected to announce a proposal on Nov. 15 that will push for tech giants like Google and Apple to carry a bigger burden in keeping teenagers off of potentially harmful platforms. Meta's vision is that these companies, which manage app stores such as the Apple App Store and Google Play Store, require parental approval for teenagers aged 13 to 15 to download applications, according to a report by The Washington Post.

Output:
Lawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments.  
social media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.
Meta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors.  
Facebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets.  
Instagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement.  
Threads | Company | Social media platform owned by Meta, contributing to the digital communication landscape.  
Nov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. 
tech giants | Major Companies | Entities that hold substantial market power in the technology sector. 
Google | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution.  
Apple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution.  
bigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company’s operations, often resulting in resource strain or inefficiencies.
Apple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics.  
Google Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics.  
Parental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage.  
The Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.
User: Bill Fleckenstein is famous for his record as a successful short-seller. Over the past few years, he has been sitting on the sidelines of the market, waiting for a time when it was safe to get short. Now, he says the market looks likely to take a deep dive in the next few months—and that's why he has no regrets about missing out on gains. "I think the stock market is more crash-prone than ever," Fleckenstein said Tuesday on CNBC's "Futures Now." "So will we get through September and October without some sort of an accident? I don't think we will, but I don't know—we'll just have to see." Read More Dr. Doom Marc Faber's investment strategy: 'Only lose 50%' Interestingly, even though the has tripled in price
Assistant:
ASSISTANT
Bill Fleckenstein | Individual Investor | A known figure in the finance domain, recognized for his expertise and success in short-selling strategies.  
short-seller | Investor Type | An investor who engages in the practice of short selling, a strategy to profit from the decline in the price of a security.  
market | Financial Market | A system or environment where financial instruments are traded, including stocks, bonds, and commodities.  
stock market | Financial Market | A marketplace where stocks are bought and sold, often highlighting broader economic trends and investor sentiment.  
CNBC | Media Outlet | A news network providing financial news and analysis, influential in shaping investor opinions and market trends.  
Futures Now | Broadcast Program | A program on CNBC that offers insights and analysis on futures markets, relevant for investors making predictions about market trends.  
crash-prone | Risk Indicator | A characteristic of a market or asset suggesting a higher likelihood of sudden, significant declines in value.  
September and October | Timeframe | Historically volatile months in financial markets, often associated with increased trading activity and potential market downturns.  
Dr. Doom | Personality Nickname | A colloquial term for economist Marc Faber, known for his bearish market predictions and investment strategies.  
Marc Faber | Economist/Investor | An investor and economist recognized for his pessimistic forecasts on market trends, often cited in financial discussions.  
investment strategy | Financial Strategy | A planned approach to allocating assets to meet specific financial goals, such as growth or risk mitigation.  
tripled in price | Price Change Indicator | A significant increase in the value of an asset or security, often affecting investment decisions and market dynamics.

turns-00050.parquet:24778

2522dda8ff44b17cfcb0e8b4
turn 1/1gpt-4o-mini-2024-07-18EnglishUnited States336 words
degenerate_repetitionAbsentFinal dense release
USER
(In the school literature clubroom...)

Monika: "And... there! Everything's all set up for today's meeting. Now we just need Natsuki."

Sayori: "I hope she's not too late this time. I really want to hear her thoughts on that new manga!"

Yuri: "She can be a bit... particular, but I think we'll have a productive meeting once she arrives. The atmosphere is already quite nice."
ASSISTANT
Monika: "You're right, Yuri. The lighting we adjusted makes such a difference. It feels cozy and inviting."

Sayori: "Yeah! It’s like we’re in our own little world. Just us and the stories we love!"

Yuri: "And speaking of stories, I brought a few poems to share today. I think they’ll complement the manga discussions nicely."

Monika: "That sounds wonderful, Yuri! I can’t wait to hear them. And maybe we can even write a little together later."

Sayori: "Ooh, that sounds fun! I love writing with all of you. It's always a blast!"

*The door swings open, and Natsuki rushes in, slightly out of breath.*

Natsuki: "Sorry, I'm late! I had to finish a chapter before leaving. You won’t believe what just happened!" 

Monika: "No worries, Natsuki! We were just talking about you and how excited we are to hear your thoughts."

Sayori: "And Yuri brought some poems too! It’s going to be such a great meeting!"

Natsuki: "Poems? Ugh, why do you keep bringing that stuff? It's a literature club, not a poetry club!"

Yuri: "Well, poetry is a form of literature, and I hope you’ll consider sharing your thoughts on it."

Natsuki: *crossing her arms* "Fine, but only if we get back to the manga soon. I have strong opinions!"

Monika: "That’s the spirit, Natsuki! Let’s dive in and make sure everyone gets a chance to share what they love." 

*Sipping her tea, Yuri nods enthusiastically.* 

Yuri: "I look forward to hearing all of your thoughts." 

Sayori: "Me too! Alright, let’s get started!" 

*The club's atmosphere buzzes with excitement as they settle in for a day full of sharing and creativity.*

turns-00050.parquet:24779

e6769c6f517334685786d0b0
turn 1/1gpt-4o-2024-08-06EnglishBrazil884 words
degenerate_repetitionAbsentFinal dense release
USER
System: You are an expert Named Entity Recognition (NER) system. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Answer in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...

Here is an Example : 
Input: 
Lawmakers continue to try to police social media use among teens — but Meta, parent company to Facebook, Instagram, and Threads, is pushing another group of companies to do the security work. Meta is expected to announce a proposal on Nov. 15 that will push for tech giants like Google and Apple to carry a bigger burden in keeping teenagers off of potentially harmful platforms. Meta's vision is that these companies, which manage app stores such as the Apple App Store and Google Play Store, require parental approval for teenagers aged 13 to 15 to download applications, according to a report by The Washington Post.

Output:
Lawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments.  
social media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.
Meta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors.  
Facebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets.  
Instagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement.  
Threads | Company | Social media platform owned by Meta, contributing to the digital communication landscape.  
Nov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. 
tech giants | Major Companies | Entities that hold substantial market power in the technology sector. 
Google | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution.  
Apple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution.  
bigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company’s operations, often resulting in resource strain or inefficiencies.
Apple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics.  
Google Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics.  
Parental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage.  
The Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.
User: Russian President Vladimir Putin has outlined his plans for closer links with China and a new Eurasian union, as he slammed U.S. actions in Ukraine. Read More Recap: Catch up with the Putin session - as it happened D uring a speech and interview with CNBC Friday at the St. Petersburg International Economic Forum, Putin signaled Russia' s turn away from its former Western allies after the dispute over Ukraine's borders. Russia will still co-operate with the U.S. in combating terrorism and in other areas, but "you can't get people to like you," he said to laughter and rapturous applause from the mainly Russian audience. Russia is "going to focus on Eurasian investment" from now on, the president told the delegates. Putin's comments highlight a cooling in relations
Assistant:
ASSISTANT
Vladimir Putin | Person | President of Russia, influential in geopolitical relations and economic strategies.  
Russia | Country | Nation led by Vladimir Putin, involved in global economic and political dynamics.  
China | Country | Significant global economic power and strategic partner for Russia.  
Eurasian union | Geopolitical Concept | Proposed political and economic alliance in the Eurasian region, aiming to enhance regional integration and cooperation.  
U.S. | Country | United States, a major global economic and political power, involved in international relations and conflicts.  
Ukraine | Country | Country in Eastern Europe, central to geopolitical tensions and economic considerations involving Russia.  
CNBC | Media Network | News network providing financial and business news, influential in shaping economic perspectives.  
St. Petersburg International Economic Forum | Event | Annual forum focusing on economic issues, facilitating discussions among global leaders and investors.  
Western allies | Geopolitical Concept | Countries aligned with Western political and economic ideologies, often in contrast to Russian strategies.  
terrorism | Global Issue | Security threat with significant implications for international relations and economic stability.  
Eurasian investment | Economic Strategy | Focus on attracting and directing capital within the Eurasian region to bolster economic growth and cooperation.  
delegates | Individuals | Participants in a conference or forum, influential in economic and political discourse.  
cooling in relations | Diplomatic State | Deterioration or decrease in the cordiality of diplomatic interactions, impacting international economic and political ties.

turns-00050.parquet:24780

ce336012b07f036f8ae325b7
turn 1/1gpt-4o-2024-08-06ChineseAustralia168 words
degenerate_repetitionAbsentFinal dense release
USER
Assistant: 
User: ```
标题:2024年上海师范大学第四附属中学招聘公告
上海师范大学第四附属中学2024年工作人员公开招聘公告
上海师范大学第四附属中学是上海市教委直属学校,东邻临港新片区,南枕杭州湾,西接上海师范大学、华东理工大学和上海应用技术大学。在上级部门的指导下,学校认真贯彻执行党的教育方针政策,培养优秀的社会主义建设者和接班人。为进一步深化干部人事制度改革,拓宽选人用人视野,根据《上海市事业单位公开招聘人员办法》(沪人社规〔2019〕15号)文件要求,按照公开、平等、竞争、择优的原则,现面向社会公开招聘教师。
  一、招聘对象
  应届大学毕业生、在编在职教师。
  报考条件
  (一)基本条件
  1.遵守中华人民共和国宪法和法律,热爱教育事业,具有良好的职业道德素养和品行。
  2.身心健康,品行端正。
  3.专业对口,即所学专业或所持教师资格证学科专业,其中之一须与所应聘学科相同或相近。
  (二)具体条件
  1.应届毕业生
  (1)大学本科及以上学历,学士及以上学位。
  (2)全国大学英语四级及以上。
  (3)应聘语文学科岗位的普通话须达到二级甲等及以上水平,其余学科岗位的须达到二级乙等及以上水平。
  (4)持有相同或相近学科教师资格证或《中小学教师资格考试合格证明》(有效期内)。
  2.在职教师
  (1)年龄一般在40周岁以下(具有中学高级职务的人员,年龄可适当放宽)。
  (2)大学本科及以上。
  (3)持有相同或相近学科相应教师资格证书。
  (4)应聘语文学科岗位的普通话须达到二级甲等及以上水平,其余学科岗位的须达到二级乙等及以上水平。
  (5)外省市在编在职参与应聘一般需有高级专业技术职称。
  二、招聘岗位及职数
  数学2人 英语1人 地理1人
  三、招聘办法
  1.应聘时间及方式
  (1)应聘时间:自即日起至2024年9月30日。
  (2)应聘方式:应聘者将个人简历、学历、学位、职称、教师资格证或从业资格证等相关证书复印件及应聘职位邮寄我校党政办(见联系方式)或发送至以下邮箱:<PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>。
  2.初审
  我校将根据应聘者信息进行初审。通过初审的人员将会收到学校发出的面试通知,以电话形式通知个人。没通过初审的人员将不另行通知,相关材料不予退回。
  3.复试
  (1)面试。由学校招聘领导小组对通过初审的人员进行面试、专业知识测试、试教等。
  (2)政审。学校招聘领导小组对通过面试的人员进行思想政治表现、道德品质、遵纪守法、诚信记录等情况进行复查。适龄青年需出示兵役证。
  4.公示及录用
  根据面试、政审、综合测试结果,对拟录用人员在上海市人力资源和社会保障局网站上进行公示,公示时间为7天。公示无异议,报上级主管部门上海市教育委员会审核通过后,再报上海市人力资源和社会保障局核准备案。核准备案后再行录用手续。公示如有异议,影响聘用的,根据查实结果确定是否录用。未公示人员相关材料不予退回。凡经录用列为事业单位在编人员的,享受事业单位福利待遇。
  四、联系方式
  联系地址:上海市奉贤区海湾旅游区海阔路100号党政办
  联系人:侯老师
  联系电话:<PRESIDIO_ANONYMIZED_PHONE_NUMBER>
  邮编:201418
  上海师范大学第四附属中学
  2024年01月11日
```
# CONTEXT #
从招聘公告中提取以下信息项:'招聘单位','招聘单位联系电话或手机','监督单位','监督单位联系电话或手机','招聘单位电子邮箱','监督单位电子邮箱','招聘人数','招聘岗位数','报名时间','是否需要笔试','是否需要面试','是否需要资格审核','是否需要是事业编制','面试形式','笔试内容','最低学历要求','年龄要求','总分计算方式','报名方式','专业要求','招聘单位联系人','是否需要应届','线上/线下考试','进入面试比例','互联网报名地址','笔试时间','面试时间','笔试地点','面试地点'

# OBJECTIVE #
提取所需信息项并返回JSON格式。多个值用逗号分隔,无法提取的项用空字符串表示。每个信息项返回字符串形式,禁止以字符串数组的形式返回,多个信息项用逗号隔开。

分类和判断标准:
- '招聘人数':招聘多个岗位时,请将多个招聘岗位的招聘人数相加;公告内未提及招聘人数,请以'若干'文字进行输出
- '招聘岗位数':招聘多个岗位时,请将多个找平岗位数相加;公告内未提及招聘岗位时,请以'未知'文字进行输出
- '面试形式':结构化、答辩、专业面试、试教、试讲、说课、微型课、评课、片段教学、教学能力、实操、技能测试、专业技能测试、实际操作、专业化面试、专业实践能力、无领导、小组讨论、情景模拟、即兴演讲
- '最低学历要求':中专、初中、高中、中职、职高、职中、大专、专科、本科、学士、大学、高校、高等学校、高等院校、一本、二本、三本、研究生、硕士、硕研、博士、博研
- '笔试内容':公共基础知识、行政职业能力测试、教育基础知识、综合知识、专业知识、申论、多个科目
- '是否需要是事业编制':通过关键字判断(编制内、事业单位编制、事业编制、编制管理)
- '报名时间':尽量以日期格式输出
- '报名方式':现场、网上、现场+网上
- '专业要求':如提及多个岗位,岗位所需的专业要求用逗号隔开以字符串输出
- '进入面试比例':要求为(n:n)格式
- '总分计算方式':格式例子为:笔试成绩×50%+面试成绩×50%+加分项
- '互联网报名地址':是以http或者https为协议的报名系统或报名地址,不是投递邮箱
- '笔试时间':尽量以日期格式输出
- '面试时间':尽量以日期格式输出
- '招聘单位联系电话或手机':联系方式、手机号、微信同号、政策咨询电话、咨询电话等均为招聘单位联系电话
- '监督单位联系电话或手机':举报电话、监管电话等均为监督单位联系方式
# STYLE #
严格遵循使用JSON格式输出,并且只能以中文表示信息项

# TONE #
确保准确、简洁

# AUDIENCE #
用于信息提取和统计

# RESPONSE #
为每个项提取准确、简洁的信息
Assistant:
ASSISTANT
```json
{
  "招聘单位": "上海师范大学第四附属中学",
  "招聘单位联系电话或手机": "021---57122514",
  "监督单位": "",
  "监督单位联系电话或手机": "",
  "招聘单位电子邮箱": "sifuzhong@sina.com",
  "监督单位电子邮箱": "",
  "招聘人数": "4",
  "招聘岗位数": "3",
  "报名时间": "自即日起至2024年9月30日",
  "是否需要笔试": "是",
  "是否需要面试": "是",
  "是否需要资格审核": "是",
  "是否需要是事业编制": "是",
  "面试形式": "面试、专业知识测试、试教",
  "笔试内容": "专业知识",
  "最低学历要求": "大学本科及以上",
  "年龄要求": "一般在40周岁以下",
  "总分计算方式": "",
  "报名方式": "邮寄、网上",
  "专业要求": "专业对口",
  "招聘单位联系人": "侯老师",
  "是否需要应届": "是",
  "线上/线下考试": "",
  "进入面试比例": "",
  "互联网报名地址": "",
  "笔试时间": "",
  "面试时间": "",
  "笔试地点": "",
  "面试地点": ""
}
```

turns-00050.parquet:24781

ff9b01df7260cc08743713de
turn 1/1gpt-4o-2024-08-06EnglishUnited States881 words
degenerate_repetitionAbsentFinal dense release
USER
You are a database expert and SQL optimizer. You will be given a SQL query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence. Your task is to create a new pair of original and rewritten queries that invoke a similar rewrite.

[ORIGINAL QUERY]```select case when (select count(*) from store_sales where ss_quantity between 1 and 20) > 1071 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 1 and 20) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 1 and 20) end bucket1,case when (select count(*) from store_sales where ss_quantity between 21 and 40) > 39161 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 21 and 40) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 21 and 40) end bucket2,case when (select count(*) from store_sales where ss_quantity between 41 and 60) > 29434 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 41 and 60) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 41 and 60) end bucket3,case when (select count(*) from store_sales where ss_quantity between 61 and 80) > 6568 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 61 and 80) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 61 and 80) end bucket4,case when (select count(*) from store_sales where ss_quantity between 81 and 100) > 21216 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 81 and 100) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 81 and 100) end bucket5 from reason where r_reason_sk = 1 ;```

[REWRITTEN QUERY]```WITH bucket AS ( SELECT CASE WHEN ss_quantity BETWEEN 1 AND 20 THEN 1 WHEN ss_quantity BETWEEN 21 AND 40 THEN 2 WHEN ss_quantity BETWEEN 41 AND 60 THEN 3 WHEN ss_quantity BETWEEN 61 AND 80 THEN 4 WHEN ss_quantity BETWEEN 81 AND 100 THEN 5 END AS quantity_range, COUNT(*) AS cnt, AVG(ss_ext_tax) AS avg_ext_tax, AVG(ss_net_paid_inc_tax) AS avg_net_paid_inc_tax FROM store_sales GROUP BY CASE WHEN ss_quantity BETWEEN 1 AND 20 THEN 1 WHEN ss_quantity BETWEEN 21 AND 40 THEN 2 WHEN ss_quantity BETWEEN 41 AND 60 THEN 3 WHEN ss_quantity BETWEEN 61 AND 80 THEN 4 WHEN ss_quantity BETWEEN 81 AND 100 THEN 5 END ) SELECT CASE WHEN b1.cnt > 1071 THEN b1.avg_ext_tax ELSE b1.avg_net_paid_inc_tax END AS bucket1, CASE WHEN b2.cnt > 39161 THEN b2.avg_ext_tax ELSE b2.avg_net_paid_inc_tax END AS bucket2, CASE WHEN b3.cnt > 29434 THEN b3.avg_ext_tax ELSE b3.avg_net_paid_inc_tax END AS bucket3, CASE WHEN b4.cnt > 6568 THEN b4.avg_ext_tax ELSE b4.avg_net_paid_inc_tax END AS bucket4, CASE WHEN b5.cnt > 21216 THEN b5.avg_ext_tax ELSE b5.avg_net_paid_inc_tax END AS bucket5 FROM (SELECT * FROM bucket WHERE quantity_range = 1) b1, (SELECT * FROM bucket WHERE quantity_range = 2) b2, (SELECT * FROM bucket WHERE quantity_range = 3) b3, (SELECT * FROM bucket WHERE quantity_range = 4) b4, (SELECT * FROM bucket WHERE quantity_range = 5) b5, reason WHERE r_reason_sk = 1;```

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation is similar to the provided demonstration.Keep the following points in mind while creating the new query pair:
1. The original query must not have any CTEs.
2. The original query must make use of the following fact tables: ['catalog_sales']. Below is the join graph for these fact tables:
    ['catalog_sales(cs_bill_customer_sk) references customer(c_customer_sk);', 'catalog_sales(cs_item_sk) references item(i_item_sk);', 'catalog_sales(cs_sold_date_sk) references date_dim(d_date_sk);']
4. The original query must employ 0 joins.
5. The original query must employ the following operators in its WHERE clause: ['min', 'sum', 'count'].
6. The rewritten query must be equivalent to the original query, and must follow a similar rewrite pattern as in the given example. Enclose the original and rewritten queries within ``` and ```.
ASSISTANT
Here is a new pair of original and rewritten SQL queries, analogous to the provided demonstration, which adhere to the specified guidelines:

[ORIGINAL QUERY]
```sql
SELECT CASE 
         WHEN (SELECT COUNT(*) 
               FROM catalog_sales 
               WHERE cs_quantity BETWEEN 1 AND 50) > 5000 
         THEN (SELECT SUM(cs_ext_list_price) 
               FROM catalog_sales 
               WHERE cs_quantity BETWEEN 1 AND 50) 
         ELSE (SELECT MIN(cs_wholesale_cost) 
               FROM catalog_sales 
               WHERE cs_quantity BETWEEN 1 AND 50) 
       END AS bucket1, 
       CASE 
         WHEN (SELECT COUNT(*) 
               FROM catalog_sales 
               WHERE cs_quantity BETWEEN 51 AND 100) > 8000 
         THEN (SELECT SUM(cs_ext_list_price) 
               FROM catalog_sales 
               WHERE cs_quantity BETWEEN 51 AND 100) 
         ELSE (SELECT MIN(cs_wholesale_cost) 
               FROM catalog_sales 
               WHERE cs_quantity BETWEEN 51 AND 100) 
       END AS bucket2
FROM customer 
WHERE c_customer_sk = 100;
```

[REWRITTEN QUERY]
```sql
WITH bucket AS (
  SELECT CASE 
           WHEN cs_quantity BETWEEN 1 AND 50 THEN 1 
           WHEN cs_quantity BETWEEN 51 AND 100 THEN 2 
         END AS quantity_range, 
         COUNT(*) AS cnt, 
         SUM(cs_ext_list_price) AS sum_list_price, 
         MIN(cs_wholesale_cost) AS min_wholesale_cost 
  FROM catalog_sales 
  GROUP BY CASE 
             WHEN cs_quantity BETWEEN 1 AND 50 THEN 1 
             WHEN cs_quantity BETWEEN 51 AND 100 THEN 2 
           END
)
SELECT CASE 
         WHEN b1.cnt > 5000 THEN b1.sum_list_price 
         ELSE b1.min_wholesale_cost 
       END AS bucket1, 
       CASE 
         WHEN b2.cnt > 8000 THEN b2.sum_list_price 
         ELSE b2.min_wholesale_cost 
       END AS bucket2
FROM (SELECT * FROM bucket WHERE quantity_range = 1) b1, 
     (SELECT * FROM bucket WHERE quantity_range = 2) b2, 
     customer 
WHERE c_customer_sk = 100;
```

### Explanation:
- The **Original Query** executes repetitive subqueries for different quantity ranges to calculate `COUNT`, `SUM`, and `MIN`.
- The **Rewritten Query** utilizes a Common Table Expression (CTE) named `bucket` to gather aggregated values (`COUNT`, `SUM`, `MIN`) for specified quantity ranges in one go, preventing redundant computations.
- Selects are then performed using these pre-aggregated values, similar to the pattern from the example provided.

turns-00050.parquet:24782

e0563073ed18dca9b3e247da
turn 1/1gpt-4o-2024-08-06EnglishChina935 words
degenerate_repetitionAbsentFinal dense release
USER
System: You are an expert Named Entity Recognition (NER) system. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Answer in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...

Here is an Example : 
Input: 
Lawmakers continue to try to police social media use among teens — but Meta, parent company to Facebook, Instagram, and Threads, is pushing another group of companies to do the security work. Meta is expected to announce a proposal on Nov. 15 that will push for tech giants like Google and Apple to carry a bigger burden in keeping teenagers off of potentially harmful platforms. Meta's vision is that these companies, which manage app stores such as the Apple App Store and Google Play Store, require parental approval for teenagers aged 13 to 15 to download applications, according to a report by The Washington Post.

Output:
Lawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments.  
social media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.
Meta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors.  
Facebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets.  
Instagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement.  
Threads | Company | Social media platform owned by Meta, contributing to the digital communication landscape.  
Nov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. 
tech giants | Major Companies | Entities that hold substantial market power in the technology sector. 
Google | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution.  
Apple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution.  
bigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company’s operations, often resulting in resource strain or inefficiencies.
Apple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics.  
Google Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics.  
Parental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage.  
The Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.
User: KEY POINTS: Three-time Super Bowl winner Rob Gronkowski retires from pro-football aged 29. Gronkowski has hinted at pursuing a Hollywood acting career or a even a move to the WWE. His last contract with New England was worth $54 million over six years. New England Patriots tight end Rob Gronkowski announced his retirement Sunday, bringing to an end an impressive and dominant nine season career, which included three Super Bowl wins. "It all started at 20 years old on stage at the NFL draft when my dream came true, and now here I am about to turn 30 in a few months with a decision I feel is the biggest of my life so far. I will be retiring from the game of football today," Gronkowski said on
Assistant:
ASSISTANT
Rob Gronkowski | Athlete | Professional American football player and three-time Super Bowl winner, noted for his successful career in the NFL.
Super Bowl | Sporting Event | The annual championship game of the National Football League (NFL), significant in American sports culture and economics.
Hollywood acting career | Career Transition | Potential new career path in the film and entertainment industry, illustrating a shift from sports to entertainment.
WWE | Entertainment Company | World Wrestling Entertainment, a major promotion for professional wrestling, representing another entertainment career option.
New England | Company | Reference to the New England Patriots, an NFL team based in Massachusetts known for their success in American football.
$54 million | Contract Value | Total monetary value of a sports contract, indicating the financial significance of player agreements in professional sports.
six years | Contract Duration | Length of time covered by an athlete's contract, important in financial planning within sports teams.
New England Patriots | Sports Team | An NFL team with a significant impact on American football, known for their competitive performance and championships.
tight end | Player Position | A position in American football, demonstrating the player's role on the team.
nine season career | Career Duration | Time span of an athlete's professional career, notable for assessing career achievements and longevity.
NFL draft | Sporting Event | An annual event where American football teams select eligible college players, pivotal in shaping team dynamics and player careers.
turn 30 | Age Milestone | Key age milestone marking transitions or changes in an athlete's career or personal life.
retiring from the game of football | Retirement Announcement | Declaration of ending a professional sports career, impacting team plans and market perception.

turns-00050.parquet:24783

a25c63dc331c066cea22d9f8
turn 1/1gpt-4o-2024-08-06EnglishMalaysia914 words
degenerate_repetitionAbsentFinal dense release
USER
You are a database expert and SQL optimizer. You will be given a SQL query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence. Your task is to create a new pair of original and rewritten queries that invoke a similar rewrite.

[ORIGINAL QUERY]```select case when (select count(*) from store_sales where ss_quantity between 1 and 20) > 1071 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 1 and 20) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 1 and 20) end bucket1,case when (select count(*) from store_sales where ss_quantity between 21 and 40) > 39161 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 21 and 40) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 21 and 40) end bucket2,case when (select count(*) from store_sales where ss_quantity between 41 and 60) > 29434 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 41 and 60) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 41 and 60) end bucket3,case when (select count(*) from store_sales where ss_quantity between 61 and 80) > 6568 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 61 and 80) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 61 and 80) end bucket4,case when (select count(*) from store_sales where ss_quantity between 81 and 100) > 21216 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 81 and 100) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 81 and 100) end bucket5 from reason where r_reason_sk = 1 ;```

[REWRITTEN QUERY]```WITH bucket AS ( SELECT CASE WHEN ss_quantity BETWEEN 1 AND 20 THEN 1 WHEN ss_quantity BETWEEN 21 AND 40 THEN 2 WHEN ss_quantity BETWEEN 41 AND 60 THEN 3 WHEN ss_quantity BETWEEN 61 AND 80 THEN 4 WHEN ss_quantity BETWEEN 81 AND 100 THEN 5 END AS quantity_range, COUNT(*) AS cnt, AVG(ss_ext_tax) AS avg_ext_tax, AVG(ss_net_paid_inc_tax) AS avg_net_paid_inc_tax FROM store_sales GROUP BY CASE WHEN ss_quantity BETWEEN 1 AND 20 THEN 1 WHEN ss_quantity BETWEEN 21 AND 40 THEN 2 WHEN ss_quantity BETWEEN 41 AND 60 THEN 3 WHEN ss_quantity BETWEEN 61 AND 80 THEN 4 WHEN ss_quantity BETWEEN 81 AND 100 THEN 5 END ) SELECT CASE WHEN b1.cnt > 1071 THEN b1.avg_ext_tax ELSE b1.avg_net_paid_inc_tax END AS bucket1, CASE WHEN b2.cnt > 39161 THEN b2.avg_ext_tax ELSE b2.avg_net_paid_inc_tax END AS bucket2, CASE WHEN b3.cnt > 29434 THEN b3.avg_ext_tax ELSE b3.avg_net_paid_inc_tax END AS bucket3, CASE WHEN b4.cnt > 6568 THEN b4.avg_ext_tax ELSE b4.avg_net_paid_inc_tax END AS bucket4, CASE WHEN b5.cnt > 21216 THEN b5.avg_ext_tax ELSE b5.avg_net_paid_inc_tax END AS bucket5 FROM (SELECT * FROM bucket WHERE quantity_range = 1) b1, (SELECT * FROM bucket WHERE quantity_range = 2) b2, (SELECT * FROM bucket WHERE quantity_range = 3) b3, (SELECT * FROM bucket WHERE quantity_range = 4) b4, (SELECT * FROM bucket WHERE quantity_range = 5) b5, reason WHERE r_reason_sk = 1;```

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation is similar to the provided demonstration.Keep the following points in mind while creating the new query pair:
1. The original query must contain CTEs.
2. The original query must make use of the following fact tables: ['web_sales', 'catalog_sales']. Below is the join graph for these fact tables:
    ['web_sales(ws_ship_cdemo_sk) references customer_demographics(cd_demo_sk);', 'web_sales(ws_promo_sk) references promotion(p_promo_sk);', 'web_sales(ws_bill_cdemo_sk) references customer_demographics(cd_demo_sk);']
    ['catalog_sales(cs_bill_customer_sk) references customer(c_customer_sk);', 'catalog_sales(cs_bill_cdemo_sk) references customer_demographics(cd_demo_sk);', 'catalog_sales(cs_call_center_sk) references call_center(cc_call_center_sk);']
5. The original query must employ 2 joins.
6. The original query must employ the following operators in its WHERE clause: [].
7. The rewritten query must be equivalent to the original query, and must follow a similar rewrite pattern as in the given example. Enclose the original and rewritten queries within ``` and ```.
ASSISTANT
Here is an original and rewritten query pair that follows the criteria and demonstrates a similar rewrite pattern:

[ORIGINAL QUERY]
```sql
WITH sales_summary AS (
  SELECT
    ws_promo_sk,
    AVG(ws_ext_sales_price) AS avg_web_sales_price,
    AVG(cs_ext_sales_price) AS avg_catalog_sales_price
  FROM
    web_sales
  JOIN
    catalog_sales ON web_sales.ws_order_number = catalog_sales.cs_order_number
  JOIN
    promotion ON web_sales.ws_promo_sk = promotion.p_promo_sk
  GROUP BY
    ws_promo_sk
)
SELECT
  CASE
    WHEN (SELECT avg_web_sales_price FROM sales_summary WHERE ws_promo_sk = 1) > 500 THEN 
      (SELECT avg_web_sales_price FROM sales_summary WHERE ws_promo_sk = 1)
    ELSE 
      (SELECT avg_catalog_sales_price FROM sales_summary WHERE ws_promo_sk = 1)
  END AS promo1,
  CASE
    WHEN (SELECT avg_web_sales_price FROM sales_summary WHERE ws_promo_sk = 2) > 1000 THEN 
      (SELECT avg_web_sales_price FROM sales_summary WHERE ws_promo_sk = 2)
    ELSE 
      (SELECT avg_catalog_sales_price FROM sales_summary WHERE ws_promo_sk = 2)
  END AS promo2
FROM
  call_center
WHERE
  cc_call_center_sk = 1;
```

[REWRITTEN QUERY]
```sql
WITH sales_summary AS (
  SELECT
    ws_promo_sk,
    AVG(ws_ext_sales_price) AS avg_web_sales_price,
    AVG(cs_ext_sales_price) AS avg_catalog_sales_price
  FROM
    web_sales
  JOIN
    catalog_sales ON web_sales.ws_order_number = catalog_sales.cs_order_number
  JOIN
    promotion ON web_sales.ws_promo_sk = promotion.p_promo_sk
  GROUP BY
    ws_promo_sk
)
SELECT
  CASE
    WHEN s1.avg_web_sales_price > 500 THEN s1.avg_web_sales_price
    ELSE s1.avg_catalog_sales_price
  END AS promo1,
  CASE
    WHEN s2.avg_web_sales_price > 1000 THEN s2.avg_web_sales_price
    ELSE s2.avg_catalog_sales_price
  END AS promo2
FROM
  (SELECT * FROM sales_summary WHERE ws_promo_sk = 1) s1,
  (SELECT * FROM sales_summary WHERE ws_promo_sk = 2) s2,
  call_center
WHERE
  cc_call_center_sk = 1;
```

### Explanation:
- **Original Query**: It utilizes a CTE to summarize the average sales prices for different promotions from `web_sales` and `catalog_sales` after joining on the order number. The main query uses subqueries to conditionally select the average sales price based on a comparison value for each promotion.
  
- **Rewritten Query**: Similar to the provided example, it optimizes the original query by calculating the necessary aggregates in the CTE once, then conditionally comparing those precomputed values in the outer query, achieving the same functionality with improved performance.

This demonstrates a similar optimization pattern where aggregation and conditions are centralized for better query performance and reusability.

turns-00050.parquet:24784

c0c4f86a7250843a2254b71b
turn 1/1o1-preview-2024-09-12EnglishKazakhstan991 words
degenerate_repetitionAbsentFinal dense release
USER
индикатор не отражает реальный размер import tkinter as tk
from tkinter.colorchooser import askcolor

class DrawingApp:
    def __init__(self, root):
        self.root = root
        self.screen_width = round(root.winfo_screenwidth() / 1.5)
        self.screen_height = round(root.winfo_screenheight() / 1.5)
        x_offset = (root.winfo_screenwidth() - self.screen_width) // 2 - 10
        y_offset = (root.winfo_screenheight() - self.screen_height) // 2 - 45
        self.root.geometry(f"{self.screen_width}x{self.screen_height}+{x_offset}+{y_offset}")
        self.root.title("Программа для рисования")

        # Панель инструментов
        self.toolbar = tk.Frame(self.root, bg="lightgray")
        self.toolbar.pack(side=tk.TOP, fill=tk.X)

        # Холст для рисования
        self.canvas = tk.Canvas(self.root, bg="white", width=1920, height=900)
        self.canvas.pack(fill=tk.BOTH, expand=True)
        
        # Инициализация переменных
        self.drawing = False
        self.last_x = None
        self.last_y = None
        self.color = "black"
        self.tool = "brush"  # кисть по умолчанию
        self.size = 5  # Размер кисти/ластика
        self.indicator = None  # Индикатор текущего инструмента
        
        # Кнопки для инструментов
        self.create_button(self.toolbar, "Кисть", self.set_brush)
        self.create_button(self.toolbar, "Ластик", self.set_eraser)
        self.create_button(self.toolbar, "Очистить", self.clear_canvas)
        self.create_button(self.toolbar, "Цвет", self.choose_color)
        self.create_button(self.toolbar, "Круг", self.draw_circle)
        self.create_button(self.toolbar, "Квадрат", self.draw_square)
        
        # Ползунок для изменения размера
        self.size_slider = tk.Scale(self.toolbar, from_=1, to=50, orient=tk.HORIZONTAL, label="Размер", command=self.update_size)
        self.size_slider.set(self.size)  # Устанавливаем начальный размер
        self.size_slider.pack(side=tk.LEFT, padx=5, pady=5)

        # Обработчики событий на холсте
        self.canvas.bind("<Button-1>", self.on_button_press)
        self.canvas.bind("<B1-Motion>", self.on_mouse_drag)
        self.canvas.bind("<ButtonRelease-1>", self.on_button_release)
        self.canvas.bind("<Motion>", self.on_mouse_move)
    
    def create_button(self, parent, text, command):
        button = tk.Button(parent, text=text, command=command)
        button.pack(side=tk.LEFT, padx=5, pady=5)
    
    def set_brush(self):
        self.tool = "brush"
        self.update_indicator()
    
    def set_eraser(self):
        self.tool = "eraser"
        self.update_indicator()
    
    def clear_canvas(self):
        self.canvas.delete("all")
    
    def choose_color(self):
        color = askcolor()[1]
        if color:
            self.color = color
    
    def draw_circle(self):
        self.tool = "circle"
        self.update_indicator()
    
    def draw_square(self):
        self.tool = "square"
        self.update_indicator()
    
    def update_size(self, val):
        """Обновить размер кисти/ластика и индикатор."""
        self.size = int(val)
        self.update_indicator()
    
    def update_indicator(self):
        """Обновить индикатор текущего инструмента."""
        if self.indicator:
            self.canvas.delete(self.indicator)
        
        if self.tool in ["brush", "eraser"]:
            self.indicator = self.canvas.create_oval(self.last_x - self.size, self.last_y - self.size,
                                                     self.last_x + self.size, self.last_y + self.size,
                                                     outline="black", width=2)
        elif self.tool == "circle":
            self.indicator = self.canvas.create_oval(self.last_x - self.size, self.last_y - self.size,
                                                     self.last_x + self.size, self.last_y + self.size,
                                                     outline=self.color, width=2)
        elif self.tool == "square":
            self.indicator = self.canvas.create_rectangle(self.last_x - self.size, self.last_y - self.size,
                                                          self.last_x + self.size, self.last_y + self.size,
                                                          outline=self.color, width=2)
    
    def on_button_press(self, event):
        self.drawing = True
        self.last_x = event.x
        self.last_y = event.y
        self.update_indicator()
    
    def on_mouse_drag(self, event):
        if self.drawing:
            if self.tool == "brush":
                self.canvas.create_line(self.last_x, self.last_y, event.x, event.y,
                                        width=self.size, fill=self.color, capstyle=tk.ROUND, smooth=True)
            elif self.tool == "eraser":
                self.canvas.create_line(self.last_x, self.last_y, event.x, event.y,
                                        width=self.size * 4, fill="white", capstyle=tk.ROUND, smooth=True)
            elif self.tool == "circle":
                self.canvas.create_oval(self.last_x - self.size, self.last_y - self.size,
                                        self.last_x + self.size, self.last_y + self.size,
                                        outline=self.color, width=2)
            elif self.tool == "square":
                self.canvas.create_rectangle(self.last_x - self.size, self.last_y - self.size,
                                             self.last_x + self.size, self.last_y + self.size,
                                             outline=self.color, width=2)
            self.last_x = event.x
            self.last_y = event.y
            self.update_indicator()
    
    def on_button_release(self, event):
        self.drawing = False
        self.last_x = None
        self.last_y = None
    
    def on_mouse_move(self, event):
        """Отображаем индикатор выбранного инструмента рядом с курсором."""
        if self.tool in ["brush", "eraser", "circle", "square"]:
            self.last_x = event.x
            self.last_y = event.y
            self.update_indicator()

if __name__ == "__main__":
    root = tk.Tk()
    app = DrawingApp(root)
    root.mainloop()
ASSISTANT
The issue you're experiencing is due to a mismatch between the sizes used for drawing tools and their indicators. Specifically, for the eraser tool, the drawing width and the indicator size are not the same, causing the indicator to not reflect the real size of the eraser.

Here's how you can fix this issue:

1. **Adjust the Indicator Size for the Eraser:**

   In your `on_mouse_drag` method, when using the eraser, you draw lines with a width of `self.size * 4`. However, in the `update_indicator` method, you're using `self.size` for the indicator size. This causes the indicator to appear smaller than the actual eraser size.

   **Update your `update_indicator` method for the eraser tool as follows:**

   ```python
   def update_indicator(self):
       """Update the current tool indicator."""
       if self.indicator:
           self.canvas.delete(self.indicator)

       if self.last_x is None or self.last_y is None:
           # Can't update indicator because we don't know where to place it
           return

       if self.tool == "brush":
           self.indicator = self.canvas.create_oval(
               self.last_x - self.size, self.last_y - self.size,
               self.last_x + self.size, self.last_y + self.size,
               outline="black", width=2
           )
       elif self.tool == "eraser":
           # Match the indicator size to the actual eraser size used in drawing
           eraser_radius = self.size * 2
           self.indicator = self.canvas.create_oval(
               self.last_x - eraser_radius, self.last_y - eraser_radius,
               self.last_x + eraser_radius, self.last_y + eraser_radius,
               outline="gray", width=2
           )
       elif self.tool == "circle":
           self.indicator = self.canvas.create_oval(
               self.last_x - self.size, self.last_y - self.size,
               self.last_x + self.size, self.last_y + self.size,
               outline=self.color, width=2
           )
       elif self.tool == "square":
           self.indicator = self.canvas.create_rectangle(
               self.last_x - self.size, self.last_y - self.size,
               self.last_x + self.size, self.last_y + self.size,
               outline=self.color, width=2
           )
   ```

   **Explanation:**

   - For the eraser, since you're drawing with a width of `self.size * 4`, the actual radius of the eraser is `self.size * 2`. Therefore, the indicator should reflect this size.
   - This adjustment ensures that the indicator matches the actual area affected by the eraser.

2. **Ensure Consistency Across Tools:**

   Review your drawing code for other tools to ensure that the indicator sizes match the actual drawing sizes. For example, make sure that the `brush`, `circle`, and `square` tools use the same `self.size` value consistently in both drawing and indicator.

3. **Avoid Drawing the Indicator When Not Needed:**

   It's a good practice to avoid updating the indicator when `self.last_x` or `self.last_y` is `None`, as this can cause errors or unexpected behavior.

   **Add a check in your `update_indicator` method:**

   ```python
   if self.last_x is None or self.last_y is None:
       # Can't update indicator because we don't have a valid position
       return
   ```

4. **Optional - Adjust Eraser Drawing Size:**

   If you prefer the eraser size to match the `self.size` directly without the multiplier, you can adjust the drawing code instead.

   **Modify the eraser drawing in `on_mouse_drag`:**

   ```python
   elif self.tool == "eraser":
       self.canvas.create_line(
           self.last_x, self.last_y, event.x, event.y,
           width=self.size, fill="white", capstyle=tk.ROUND, smooth=True
       )
   ```

   - By doing this, the eraser's drawing size will directly correspond to `self.size`, and you won't need the size adjustment in the indicator.
   - Remember to remove the size adjustment in the indicator code if you make this change.

**Summary:**

The key is to ensure that the sizes used for drawing and the indicators are consistent across all tools. By making these adjustments, the indicator should accurately reflect the real size of the tools, resolving the issue you've encountered.

Feel free to adjust the sizes according to your preference, but always keep the drawing sizes and indicator sizes in sync for a better user experience.