Article(id=1281678097292440546, tenantId=1146029695717560320, journalId=1281213114968444942, issueId=1281678071572968253, articleNumber=null, orderNo=null, doi=10.19775/j.cla.2026.03.0084, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1717171200000, receivedDateStr=2024-06-01, revisedDate=1725379200000, revisedDateStr=2024-09-04, acceptedDate=null, acceptedDateStr=null, onlineDate=1783505470822, onlineDateStr=2026-07-08, pubDate=1773072000000, pubDateStr=2026-03-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783505470822, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783505470822, creator=13701087609, updateTime=1783505470822, updator=13701087609, issue=Issue{id=1281678071572968253, tenantId=1146029695717560320, journalId=1281213114968444942, year='2026', volume='42', issue='3', pageStart='6', pageEnd='152', issueExtLink='null', onlineDate='null', pubDate='1773072000000', pubDateStr='2026-03-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783505464690, creator='13701087609', updateTime=1783507756103, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1281687682514399699, tenantId=1146029695717560320, journalId=1281213114968444942, issueId=1281678071572968253, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1281687682514399700, tenantId=1146029695717560320, journalId=1281213114968444942, issueId=1281678071572968253, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=84, endPage=91, ext={EN=ArticleExt(id=1281678097481184227, articleId=1281678097292440546, tenantId=1146029695717560320, journalId=1281213114968444942, language=EN, title=AI Intervenes in the Three Roles of Knowledge Production in Landscape Planning and Design Practice: Servant, Opponent, and Partner, columnId=1281678081307939726, journalTitle=Chinese Landscape Architecture, columnName=LA Theory, runingTitle=null, highlight=null, articleAbstract=

Generative artificial intelligence technology is profoundly affecting the field of landscape planning and design, bringing new opportunities and challenges to knowledge production and planning and design practice. The research is based on the difference between landscape planning and design practice before and after the intervention of artificial intelligence. Firstly, the development process of artificial intelligence in three key application scenarios of simulation prediction, scheme generation, and design evaluation is deeply analyzed. 1) Artificial intelligence in simulation and prediction scenarios is mainly used in dynamic simulation of landscape pattern, prediction of spatial pattern evolution, scene simulation, etc., to help predict the future development trend of landscape, which is usually in the current situation and problem analysis stage in the early stage of planning and design. From the initial empirical prediction of the urban dynamics model to the machine prediction stage of the analytical artificial intelligence stage. 2) In the context of scheme generation, artificial intelligence is mainly used in the rapid generation of spatial layout schemes, such as landscape plane generation and landscape rendering, which is usually in the mid-term scheme proposal stage of planning and design. With the evolution of artificial intelligence from non-intelligent tools to generative artificial intelligence, scheme generation has also achieved a leap from auxiliary drawing to generative design. 3) In the context of design evaluation, artificial intelligence is mainly used in landscape performance evaluation, landscape visual quality evaluation, landscape perception evaluation, etc., to help designers evaluate and improve planning and design schemes. It is usually in the early stage of planning and design, and the later stage of performance evaluation. Artificial intelligence tools have evolved from the earliest expert system to data-driven evaluation. Secondly, based on the time period theory and the subject-object dichotomy theory, an analytical framework is proposed to dialectically view the three roles of artificial intelligence of knowledge production in landscape planning and design practice: from the short-term perspective of technological and product innovation, human beings as the main body of planning and design practice, and generative artificial intelligence can be regarded as "servants"; from the medium-term perspective of industry change, generative artificial intelligence, as the main body of planning and design practice, has become an "opponent" under the negative impact of technology; from the long-term perspective of knowledge production and social communication change, when both are subjects, generative artificial intelligence can be regarded as a "partner". The importance of building a new model of human-machine collaboration is further emphasized, and a knowledge production model of landscape planning and design based on human-machine collaboration is proposed. Finally, the future development and challenges of artificial intelligence in the production of practical knowledge of landscape planning and design are prospectively discussed. It is still a big challenge for generative artificial intelligence to participate in the interdisciplinary and local knowledge production of landscape planning and design, and the knowledge production in the teaching and research of landscape planning and design. In the face of the new trend of knowledge production mode change brought by artificial intelligence, we should understand it from the perspective of knowledge production mode change, ideology and methodology evolution, and examine landscape planning and design practice and subject knowledge system with a new problem domain. Further thinking about the role and responsibility of artificial intelligence and planning designers in landscape planning and design practice, and how to better integrate the collaboration between humans and artificial intelligence to create more value.

, authors=Zongbin ZHU, Yifei SONG, Bangrui YUE*, Jiaxin PENG, Feng HU, authorsList=Zongbin ZHU, Yifei SONG, Bangrui YUE, Jiaxin PENG, Feng HU, authorCompany=null, correspAuthors=Bangrui YUE, authorNote=

ZHU Zongbin, male, born in 1996 in Baiyin, Gansu Province, Ph.D. candidate in School of Architecture, Xi'an University of Architecture and Technology, research area: intelligent planning and design, landscape ecological planning theory and method, territorial landscape protection and ecological restoration (Xi'an 710055)

SONG Yifei, female, born in 1999 in Xi'an, Shaanxi Province, Master's student of School of Architecture, Xi'an University of Architecture and Technology, research area: territorial landscape protection and ecological restoration (Xi'an 710055)

YUE Bangrui, male, born in 1973 in Xi'an, Shaanxi Province, Ph.D., Professor and Ph.D. Supervisor at the School of Architecture, Xi'an University of Architecture and Technology, Special Editor of Chinese Landscape Architecture, research area: northwest fragile area landscape ecological planning theory and method, western rural landscape ecological wisdom, intelligent planning and design, Qinling ecological protection (Xi'an 710055)

PENG Jiaxin, male, born in 1996 in Yili, Xinjiang Uygur Autonomous Region, Master's student of School of Architecture, Xi'an University of Architecture and Technology, research area: territorial landscape protection and ecological restoration (Xi'an 710055)

HU Feng, male, born in 1998 in Yantai, Shandong Province, Master's student of School of Architecture, Xi'an University of Architecture and Technology, research area: territorial landscape protection and ecological restoration (Xi'an 710055)

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生成式人工智能技术正深刻地影响着景观规划设计领域,为知识生产及规划设计实践带来新机遇和挑战。立足于人工智能介入前后的景观规划设计实践区别,首先深入分析了人工智能在模拟预测、方案生成和设计评估3个关键应用情境中的发展历程;其次,基于时段理论与主客二分理论提出分析框架,辩证地看待人工智能在景观规划设计实践知识生产中的三重角色:作为辅助工具的“仆人”、可能取代设计师的“对手”,以及与设计师协作的“伙伴”;进一步强调了构建人机协作新模式的重要性,提出了基于人机协作的景观规划设计知识生产模式。最后,展望了人工智能在景观规划设计实践知识生产中的未来发展。

, authors=朱宗斌, 宋逸霏, 岳邦瑞*, 彭佳新, 胡丰, authorsList=朱宗斌, 宋逸霏, 岳邦瑞, 彭佳新, 胡丰, authorCompany=null, correspAuthors=岳邦瑞, authorNote=

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宋逸霏 1999年生/女/陕西西安人/西安建筑科技大学建筑学院在读硕士研究生/研究方向为国土景观保护与生态修复(西安 710055)

岳邦瑞 1973年生/男/陕西西安人/西安建筑科技大学建筑学院教授,博士生导师/研究方向为西北脆弱区景观生态规划理论与方法、西部乡土景观生态智慧、规划设计智能化、大秦岭生态保护/本刊特约编辑(西安 710055)

彭佳新 1996年生/男/新疆伊犁人/西安建筑科技大学建筑学院在读硕士研究生/研究方向为国土景观保护与生态修复(西安 710055)

胡丰 1998年生/男/山东烟台人/西安建筑科技大学建筑学院在读硕士研究生/研究方向为国土景观保护与生态修复(西安 710055)

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朱宗斌 1996年生/男/甘肃白银人/西安建筑科技大学建筑学院在读博士研究生/研究方向为规划设计智能化、景观生态规划理论与方法、国土景观保护与生态修复(西安 710055)

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SONG Yifei, female, born in 1999 in Xi'an, Shaanxi Province, Master's student of School of Architecture, Xi'an University of Architecture and Technology, research area: territorial landscape protection and ecological restoration (Xi'an 710055)

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SONG Yifei, female, born in 1999 in Xi'an, Shaanxi Province, Master's student of School of Architecture, Xi'an University of Architecture and Technology, research area: territorial landscape protection and ecological restoration (Xi'an 710055)

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宋逸霏 1999年生/女/陕西西安人/西安建筑科技大学建筑学院在读硕士研究生/研究方向为国土景观保护与生态修复(西安 710055)

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YUE Bangrui, male, born in 1973 in Xi'an, Shaanxi Province, Ph.D., Professor and Ph.D. Supervisor at the School of Architecture, Xi'an University of Architecture and Technology, Special Editor of Chinese Landscape Architecture, research area: northwest fragile area landscape ecological planning theory and method, western rural landscape ecological wisdom, intelligent planning and design, Qinling ecological protection (Xi'an 710055)

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YUE Bangrui, male, born in 1973 in Xi'an, Shaanxi Province, Ph.D., Professor and Ph.D. Supervisor at the School of Architecture, Xi'an University of Architecture and Technology, Special Editor of Chinese Landscape Architecture, research area: northwest fragile area landscape ecological planning theory and method, western rural landscape ecological wisdom, intelligent planning and design, Qinling ecological protection (Xi'an 710055)

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岳邦瑞 1973年生/男/陕西西安人/西安建筑科技大学建筑学院教授,博士生导师/研究方向为西北脆弱区景观生态规划理论与方法、西部乡土景观生态智慧、规划设计智能化、大秦岭生态保护/本刊特约编辑(西安 710055)

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岳邦瑞 1973年生/男/陕西西安人/西安建筑科技大学建筑学院教授,博士生导师/研究方向为西北脆弱区景观生态规划理论与方法、西部乡土景观生态智慧、规划设计智能化、大秦岭生态保护/本刊特约编辑(西安 710055)

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PENG Jiaxin, male, born in 1996 in Yili, Xinjiang Uygur Autonomous Region, Master's student of School of Architecture, Xi'an University of Architecture and Technology, research area: territorial landscape protection and ecological restoration (Xi'an 710055)

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PENG Jiaxin, male, born in 1996 in Yili, Xinjiang Uygur Autonomous Region, Master's student of School of Architecture, Xi'an University of Architecture and Technology, research area: territorial landscape protection and ecological restoration (Xi'an 710055)

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彭佳新 1996年生/男/新疆伊犁人/西安建筑科技大学建筑学院在读硕士研究生/研究方向为国土景观保护与生态修复(西安 710055)

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HU Feng, male, born in 1998 in Yantai, Shandong Province, Master's student of School of Architecture, Xi'an University of Architecture and Technology, research area: territorial landscape protection and ecological restoration (Xi'an 710055)

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HU Feng, male, born in 1998 in Yantai, Shandong Province, Master's student of School of Architecture, Xi'an University of Architecture and Technology, research area: territorial landscape protection and ecological restoration (Xi'an 710055)

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胡丰 1998年生/男/山东烟台人/西安建筑科技大学建筑学院在读硕士研究生/研究方向为国土景观保护与生态修复(西安 710055)

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胡丰 1998年生/男/山东烟台人/西安建筑科技大学建筑学院在读硕士研究生/研究方向为国土景观保护与生态修复(西安 710055)

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AI介入景观规划设计实践知识生产中的三重角色:仆人、对手与伙伴
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朱宗斌 , 宋逸霏 , 岳邦瑞 * , 彭佳新 , 胡丰
中国园林 | 风景园林理论 2026,42(3): 84-91
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中国园林 |风景园林理论 2026 , 42 (3) : 84 -91
AI介入景观规划设计实践知识生产中的三重角色:仆人、对手与伙伴
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朱宗斌 1996年生/男/甘肃白银人/西安建筑科技大学建筑学院在读博士研究生/研究方向为规划设计智能化、景观生态规划理论与方法、国土景观保护与生态修复(西安 710055)

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岳邦瑞 1973年生/男/陕西西安人/西安建筑科技大学建筑学院教授,博士生导师/研究方向为西北脆弱区景观生态规划理论与方法、西部乡土景观生态智慧、规划设计智能化、大秦岭生态保护/本刊特约编辑(西安 710055)

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岳邦瑞 1973年生/男/陕西西安人/西安建筑科技大学建筑学院教授,博士生导师/研究方向为西北脆弱区景观生态规划理论与方法、西部乡土景观生态智慧、规划设计智能化、大秦岭生态保护/本刊特约编辑(西安 710055)

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HU Feng, male, born in 1998 in Yantai, Shandong Province, Master's student of School of Architecture, Xi'an University of Architecture and Technology, research area: territorial landscape protection and ecological restoration (Xi'an 710055)

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朱宗斌, 宋逸霏, 岳邦瑞* , 彭佳新, 胡丰
作者信息
通讯作者:
作者简介:

朱宗斌 1996年生/男/甘肃白银人/西安建筑科技大学建筑学院在读博士研究生/研究方向为规划设计智能化、景观生态规划理论与方法、国土景观保护与生态修复(西安 710055)

宋逸霏 1999年生/女/陕西西安人/西安建筑科技大学建筑学院在读硕士研究生/研究方向为国土景观保护与生态修复(西安 710055)

岳邦瑞 1973年生/男/陕西西安人/西安建筑科技大学建筑学院教授,博士生导师/研究方向为西北脆弱区景观生态规划理论与方法、西部乡土景观生态智慧、规划设计智能化、大秦岭生态保护/本刊特约编辑(西安 710055)

彭佳新 1996年生/男/新疆伊犁人/西安建筑科技大学建筑学院在读硕士研究生/研究方向为国土景观保护与生态修复(西安 710055)

胡丰 1998年生/男/山东烟台人/西安建筑科技大学建筑学院在读硕士研究生/研究方向为国土景观保护与生态修复(西安 710055)

AI Intervenes in the Three Roles of Knowledge Production in Landscape Planning and Design Practice: Servant, Opponent, and Partner
Zongbin ZHU, Yifei SONG, Bangrui YUE* , Jiaxin PENG, Feng HU
Affiliations

    ZHU Zongbin, male, born in 1996 in Baiyin, Gansu Province, Ph.D. candidate in School of Architecture, Xi'an University of Architecture and Technology, research area: intelligent planning and design, landscape ecological planning theory and method, territorial landscape protection and ecological restoration (Xi'an 710055)

    SONG Yifei, female, born in 1999 in Xi'an, Shaanxi Province, Master's student of School of Architecture, Xi'an University of Architecture and Technology, research area: territorial landscape protection and ecological restoration (Xi'an 710055)

    YUE Bangrui, male, born in 1973 in Xi'an, Shaanxi Province, Ph.D., Professor and Ph.D. Supervisor at the School of Architecture, Xi'an University of Architecture and Technology, Special Editor of Chinese Landscape Architecture, research area: northwest fragile area landscape ecological planning theory and method, western rural landscape ecological wisdom, intelligent planning and design, Qinling ecological protection (Xi'an 710055)

    PENG Jiaxin, male, born in 1996 in Yili, Xinjiang Uygur Autonomous Region, Master's student of School of Architecture, Xi'an University of Architecture and Technology, research area: territorial landscape protection and ecological restoration (Xi'an 710055)

    HU Feng, male, born in 1998 in Yantai, Shandong Province, Master's student of School of Architecture, Xi'an University of Architecture and Technology, research area: territorial landscape protection and ecological restoration (Xi'an 710055)

出版时间: 2026-03-10 doi: 10.19775/j.cla.2026.03.0084
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生成式人工智能技术正深刻地影响着景观规划设计领域,为知识生产及规划设计实践带来新机遇和挑战。立足于人工智能介入前后的景观规划设计实践区别,首先深入分析了人工智能在模拟预测、方案生成和设计评估3个关键应用情境中的发展历程;其次,基于时段理论与主客二分理论提出分析框架,辩证地看待人工智能在景观规划设计实践知识生产中的三重角色:作为辅助工具的“仆人”、可能取代设计师的“对手”,以及与设计师协作的“伙伴”;进一步强调了构建人机协作新模式的重要性,提出了基于人机协作的景观规划设计知识生产模式。最后,展望了人工智能在景观规划设计实践知识生产中的未来发展。

风景园林  /  生成式人工智能  /  景观规划设计实践  /  人机协作  /  知识生产

Generative artificial intelligence technology is profoundly affecting the field of landscape planning and design, bringing new opportunities and challenges to knowledge production and planning and design practice. The research is based on the difference between landscape planning and design practice before and after the intervention of artificial intelligence. Firstly, the development process of artificial intelligence in three key application scenarios of simulation prediction, scheme generation, and design evaluation is deeply analyzed. 1) Artificial intelligence in simulation and prediction scenarios is mainly used in dynamic simulation of landscape pattern, prediction of spatial pattern evolution, scene simulation, etc., to help predict the future development trend of landscape, which is usually in the current situation and problem analysis stage in the early stage of planning and design. From the initial empirical prediction of the urban dynamics model to the machine prediction stage of the analytical artificial intelligence stage. 2) In the context of scheme generation, artificial intelligence is mainly used in the rapid generation of spatial layout schemes, such as landscape plane generation and landscape rendering, which is usually in the mid-term scheme proposal stage of planning and design. With the evolution of artificial intelligence from non-intelligent tools to generative artificial intelligence, scheme generation has also achieved a leap from auxiliary drawing to generative design. 3) In the context of design evaluation, artificial intelligence is mainly used in landscape performance evaluation, landscape visual quality evaluation, landscape perception evaluation, etc., to help designers evaluate and improve planning and design schemes. It is usually in the early stage of planning and design, and the later stage of performance evaluation. Artificial intelligence tools have evolved from the earliest expert system to data-driven evaluation. Secondly, based on the time period theory and the subject-object dichotomy theory, an analytical framework is proposed to dialectically view the three roles of artificial intelligence of knowledge production in landscape planning and design practice: from the short-term perspective of technological and product innovation, human beings as the main body of planning and design practice, and generative artificial intelligence can be regarded as "servants"; from the medium-term perspective of industry change, generative artificial intelligence, as the main body of planning and design practice, has become an "opponent" under the negative impact of technology; from the long-term perspective of knowledge production and social communication change, when both are subjects, generative artificial intelligence can be regarded as a "partner". The importance of building a new model of human-machine collaboration is further emphasized, and a knowledge production model of landscape planning and design based on human-machine collaboration is proposed. Finally, the future development and challenges of artificial intelligence in the production of practical knowledge of landscape planning and design are prospectively discussed. It is still a big challenge for generative artificial intelligence to participate in the interdisciplinary and local knowledge production of landscape planning and design, and the knowledge production in the teaching and research of landscape planning and design. In the face of the new trend of knowledge production mode change brought by artificial intelligence, we should understand it from the perspective of knowledge production mode change, ideology and methodology evolution, and examine landscape planning and design practice and subject knowledge system with a new problem domain. Further thinking about the role and responsibility of artificial intelligence and planning designers in landscape planning and design practice, and how to better integrate the collaboration between humans and artificial intelligence to create more value.

landscape architecture  /  generative artificial intelligence  /  landscape planning and design practice  /  man-machine collaboration  /  knowledge production
朱宗斌, 宋逸霏, 岳邦瑞, 彭佳新, 胡丰. AI介入景观规划设计实践知识生产中的三重角色:仆人、对手与伙伴. 中国园林, 2026 , 42 (3) : 84 -91 . DOI: 10.19775/j.cla.2026.03.0084
Zongbin ZHU, Yifei SONG, Bangrui YUE, Jiaxin PENG, Feng HU. AI Intervenes in the Three Roles of Knowledge Production in Landscape Planning and Design Practice: Servant, Opponent, and Partner[J]. Chinese Landscape Architecture, 2026 , 42 (3) : 84 -91 . DOI: 10.19775/j.cla.2026.03.0084
  • 国家自然科学基金项目(51578437)
  • 教育部人文社科项目(24YJAZH209)
  • 陕西省自然科学基金一般项目(2024JC-YBQN-0602)
  • 陕西省教育厅专项科研项目(23JK0507)
  • 西安建筑科技大学研究生教材建设项目(ALJS202402)
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doi: 10.19775/j.cla.2026.03.0084
  • 接收时间:2024-06-01
  • 首发时间:2026-07-08
  • 出版时间:2026-03-10
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  • 收稿日期:2024-06-01
  • 修回日期:2024-09-04
基金
国家自然科学基金项目(51578437)
教育部人文社科项目(24YJAZH209)
陕西省自然科学基金一般项目(2024JC-YBQN-0602)
陕西省教育厅专项科研项目(23JK0507)
西安建筑科技大学研究生教材建设项目(ALJS202402)
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
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