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Windows Agent Arena (WAA): A Scalable Open-Sourced Windows AI Agent Platform for Testing and Benchmarking Multi-modal, Desktop AI Agent - MarkTechPost

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data-code='PGRpdiBjbGFzcz0nY29kZS1ibG9jayBjb2RlLWJsb2NrLTInIHN0eWxlPSdtYXJnaW46IDhweCAwOyBjbGVhcjogYm90aDsnPgo8ZGl2IGNsYXNzPSJ0ZC12aXNpYmxlLWRlc2t0b3AiPgogICAgPGEgaHJlZj0iaHR0cHM6Ly9wcmVkaWJhc2UuY29tL3NtYWxsY29uP3V0bV9tZWRpdW09M3JkcGFydHkmdXRtX3NvdXJjZT1tYXJrdGVjaHBvc3QiPjxpbWcgc3JjPSJodHRwczovL3d3dy5tYXJrdGVjaHBvc3QuY29tL3dwLWNvbnRlbnQvdXBsb2Fkcy8yMDI0LzExL0FkLTcwMC14LTMwMC1TbWFsbENvbi5wbmciIGFsdD0iIiAvPjwvYT48L2Rpdj48L2Rpdj4K' data-block='2'></div> <article id="post-62505" class="post-62505 post type-post status-publish format-standard has-post-thumbnail category-ai-paper-summary category-ai-shorts category-applications category-artificial-intelligence category-editors-pick category-machine-learning category-new-releases category-open-source category-staff category-tech-news category-technology" itemscope itemtype="https://schema.org/Article"> <div class="td-post-header"> <header class="td-post-title"> <h1 class="entry-title">Windows Agent Arena (WAA): A Scalable Open-Sourced Windows AI Agent Platform for Testing and Benchmarking Multi-modal, Desktop AI Agent</h1> <div class="td-module-meta-info"> <div class="td-post-author-name"><div class="td-author-by">By</div> <a href="https://www.marktechpost.com/author/6flvq/">Asif Razzaq</a><div class="td-author-line"> - </div> </div> <span class="td-post-date"><time class="entry-date updated td-module-date" datetime="2024-09-15T07:49:47-07:00" >September 15, 2024</time></span> </div> </header> </div> <div class="td-post-content tagdiv-type"> <div class="swp_social_panel swp_horizontal_panel swp_flat_fresh swp_default_full_color swp_other_full_color swp_individual_full_color scale-100 scale-full_width" data-min-width="1100" data-float-color="#ffffff" data-float="none" data-float-mobile="none" data-transition="slide" data-post-id="62505" ><div class="nc_tweetContainer swp_share_button swp_reddit" data-network="reddit"><a class="nc_tweet swp_share_link" rel="nofollow noreferrer noopener" target="_blank" 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href="https://twitter.com/intent/tweet?text=Windows+Agent+Arena+%28WAA%29%3A%C2%A0A+Scalable+Open-Sourced+Windows+AI+Agent+Platform+for+Testing+and+Benchmarking+Multi-modal%2C+Desktop+AI+Agent&url=https%3A%2F%2Fwww.marktechpost.com%2F2024%2F09%2F15%2Fwindows-agent-arena-waa-a-scalable-open-sourced-windows-ai-agent-platform-for-testing-and-benchmarking-multi-modal-desktop-ai-agent%2F&via=Marktechpost" data-link="https://twitter.com/intent/tweet?text=Windows+Agent+Arena+%28WAA%29%3A%C2%A0A+Scalable+Open-Sourced+Windows+AI+Agent+Platform+for+Testing+and+Benchmarking+Multi-modal%2C+Desktop+AI+Agent&url=https%3A%2F%2Fwww.marktechpost.com%2F2024%2F09%2F15%2Fwindows-agent-arena-waa-a-scalable-open-sourced-windows-ai-agent-platform-for-testing-and-benchmarking-multi-modal-desktop-ai-agent%2F&via=Marktechpost"><span class="swp_count swp_hide"><span class="iconFiller"><span class="spaceManWilly"><i class="sw swp_twitter_icon"></i><span class="swp_share">Tweet</span></span></span></span></a></div><div class="nc_tweetContainer swp_share_button total_shares total_sharesalt" ><span class="swp_count ">0 <span class="swp_label">Shares</span></span></div></div> <p>Artificial intelligence (AI) has been advancing in developing agents capable of executing complex tasks across digital platforms. These agents, often powered by large language models (LLMs), have the potential to dramatically enhance human productivity by automating tasks within operating systems. AI agents that can perceive, plan, and act within environments like the Windows operating system (OS) offer immense value as personal and professional tasks increasingly move into the digital realm. The ability of these agents to interact across a range of applications and interfaces means they can handle tasks that typically require human oversight, ultimately aiming to make human-computer interaction more efficient.</p> <p>A significant issue in developing such agents is accurately evaluating their performance in environments that mirror real-world conditions. While effective in specific domains like web navigation or text-based tasks, most existing benchmarks fail to capture the complexity and diversity of tasks that real users face daily on platforms like Windows. These benchmarks either focus on limited types of interactions or suffer from slow processing times, making them unsuitable for large-scale evaluations. To bridge this gap, there is a need for tools that can test agents&#8217; capabilities in more dynamic, multi-step tasks across diverse domains in a highly scalable manner. Moreover, current tools cannot parallelize tasks efficiently, making full evaluations take days rather than minutes.</p><div class='ai-viewports ai-viewport-1 ai-viewport-3 ai-insert-14-91192307' style='margin: 8px 0; clear: both;' data-insertion-position='prepend' data-selector='.ai-insert-14-91192307' data-insertion-no-dbg data-code='PGRpdiBjbGFzcz0nY29kZS1ibG9jayBjb2RlLWJsb2NrLTE0JyBzdHlsZT0nbWFyZ2luOiA4cHggMDsgY2xlYXI6IGJvdGg7Jz4KPGEgaHJlZj0iaHR0cHM6Ly9wcmVkaWJhc2UuY29tL3NtYWxsY29uP3V0bV9tZWRpdW09M3JkcGFydHkmdXRtX3NvdXJjZT1tYXJrdGVjaHBvc3QiPiDwn6e18J+ntSBNdXN0IEF0dGVuZDogU21hbGxDb246IEZyZWUgVmlydHVhbCBHZW5BSSBDb25mZXJlbmNlIGZ0LiBNZXRhLCBNaXN0cmFsLCBTYWxlc2ZvcmNlLCBIYXJ2ZXkgQUkgJiBtb3JlIChQcm9tb3RlZCk8L2E+PC9kaXY+Cg==' data-block='14'></div> <p>Several benchmarks have been developed to evaluate AI agents, including OSWorld, which primarily focuses on Linux-based tasks. While these platforms provide useful insights into agent performance, they do not scale well for multi-modal environments like Windows. Other frameworks, such as WebLinx and Mind2Web, assess agent abilities within web-based environments but need more depth to comprehensively test agent behavior in more complex, OS-based workflows. These limitations highlight the need for a benchmark to capture the full scope of human-computer interaction in a widely-used OS like Windows while ensuring rapid evaluation through cloud-based parallelization.</p> <p>Researchers from Microsoft, Carnegie Mellon University, and Columbia University introduced the <a href="https://github.com/microsoft/WindowsAgentArena"><strong>WindowsAgentArena</strong></a>, a comprehensive and reproducible benchmark specifically designed for evaluating AI agents in a Windows OS environment. This innovative tool allows agents to operate within a real Windows OS, engaging with applications, tools, and web browsers, replicating the tasks that human users commonly perform. By leveraging Azure&#8217;s scalable cloud infrastructure, the platform can parallelize evaluations, allowing a complete benchmark run in just 20 minutes, contrasting the days-long evaluations typical of earlier methods. This parallelization increases the speed of evaluations and ensures more realistic agent behavior by allowing them to interact with various tools and environments simultaneously.</p> <p>The benchmark suite includes over 154 diverse tasks that span multiple domains, including document editing, web browsing, system management, coding, and media consumption. These tasks are carefully designed to mirror everyday Windows workflows, with agents required to perform multi-step tasks such as creating document shortcuts, navigating through file systems, and customizing settings in complex applications like VSCode and LibreOffice Calc. The WindowsAgentArena also introduces a novel evaluation criterion that rewards agents based on task completion rather than simply following pre-recorded human demonstrations, allowing for more flexible and realistic task execution. The benchmark can seamlessly integrate with Docker containers, providing a secure environment for testing and allowing researchers to scale their evaluations across multiple agents.</p><div class='ai-viewports ai-viewport-1 ai-viewport-3 ai-insert-15-81137150' style='margin: 8px 0; clear: both;' data-insertion-position='prepend' data-selector='.ai-insert-15-81137150' data-insertion-no-dbg data-code='PGRpdiBjbGFzcz0nY29kZS1ibG9jayBjb2RlLWJsb2NrLTE1JyBzdHlsZT0nbWFyZ2luOiA4cHggMDsgY2xlYXI6IGJvdGg7Jz4KPGEgaHJlZj0iaHR0cHM6Ly9sYW5kaW5nLmRlZXBzZXQuYWkvZGVlcHNldC1yZWNvZ25pemVkLWFzLWEtZ2FydG5lci1jb29sLXZlbmRvcj91dG1fY2FtcGFpZ249MjQxMC1nYXJ0bmVyLWNvb2wlMjB2ZW5kb3ItcmVwb3J0JnV0bV9zb3VyY2U9bWFya3RlY2hwb3N0JnV0bV9tZWRpdW09bW9iaWxlLWJhbm5lci1hZCI+IPCfk6Xwn5OlIERvd25sb2FkIFJlcG9ydDogMjAyNCBHYXJ0bmVywq4gQ29vbCBWZW5kb3Jz4oSiIGluIEFJIEVuZ2luZWVyaW5nICAoUHJvbW90ZWQpPC9hPjwvZGl2Pgo=' data-block='15'></div> <div class="wp-block-image"> <figure class="aligncenter"><img decoding="async" src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXejERCdJozqRtswsMbXVOyPDxjTomKk8TU7IB8b38ejbjn6ormlFcWcWo2leeA-dzExmIhWDd9fLcu2vqzBAvfuqB5qYTLXxwSNcFij3DGEUAexFN7VXnLnS-23yLkgNaza7tBtcPHkuxLx8Nz-iVRqA15T?key=_D9uAjjprRQPKPpG9RjcgQ" alt=""/></figure></div> <p>To demonstrate the effectiveness of the WindowsAgentArena, researchers developed a new multi-modal AI agent named <strong>Navi</strong>. Navi is designed to operate autonomously within the Windows OS, utilizing a combination of chain-of-thought prompting and multi-modal perception to complete tasks. The researchers tested Navi on the WindowsAgentArena benchmark, where the agent achieved a success rate of 19.5%, significantly lower than the 74.5% success rate achieved by unassisted humans. While this performance highlights AI agents&#8217; challenges in replicating human-like efficiency, it also underscores the potential for improvement as these technologies evolve. Navi also demonstrated strong performance in a secondary web-based benchmark, Mind2Web, further proving its adaptability across different environments.</p> <div class="wp-block-image"> <figure class="aligncenter"><img decoding="async" src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXc6p8MN7JjFXD49pbhV7Uk5MCm897NNSRMDtgDaNlaCFmBIAR-ANQsDHR8lah-88LUDX7V30W07Wwbi-iyoBf12YkqbtN_0CRDhC86kcqZI-gr50dZ0dvaSbhu-P0EaE95Xe9T9j1rPy0QckmZ6-spZ7QAs?key=_D9uAjjprRQPKPpG9RjcgQ" alt=""/></figure></div> <p>The methods used to enhance Navi&#8217;s performance are noteworthy. The agent relies on visual markers and screen parsing techniques, such as Set-of-Marks (SoMs), to understand &amp; interact with the graphical aspects of the screen. These SoMs allow the agent to accurately identify buttons, icons, and text fields, making it more effective in completing tasks that involve multiple steps or require detailed screen navigation. Navi benefits from UIA tree parsing, a method that extracts visible elements from the Windows UI Automation tree, enabling more precise agent interactions.</p> <div class="wp-block-image"> <figure class="aligncenter size-large is-resized"><img fetchpriority="high" decoding="async" width="1024" height="437" data-attachment-id="62506" data-permalink="https://www.marktechpost.com/2024/09/15/windows-agent-arena-waa-a-scalable-open-sourced-windows-ai-agent-platform-for-testing-and-benchmarking-multi-modal-desktop-ai-agent/screenshot-2024-09-15-at-7-42-40-am/" data-orig-file="https://www.marktechpost.com/wp-content/uploads/2024/09/Screenshot-2024-09-15-at-7.42.40-AM.png" data-orig-size="1298,554" data-comments-opened="1" data-image-meta="{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}" data-image-title="Screenshot 2024-09-15 at 7.42.40 AM" data-image-description="" data-image-caption="" data-medium-file="https://www.marktechpost.com/wp-content/uploads/2024/09/Screenshot-2024-09-15-at-7.42.40-AM-300x128.png" data-large-file="https://www.marktechpost.com/wp-content/uploads/2024/09/Screenshot-2024-09-15-at-7.42.40-AM-1024x437.png" src="https://www.marktechpost.com/wp-content/uploads/2024/09/Screenshot-2024-09-15-at-7.42.40-AM-1024x437.png" alt="" class="wp-image-62506" style="width:769px;height:auto" srcset="https://www.marktechpost.com/wp-content/uploads/2024/09/Screenshot-2024-09-15-at-7.42.40-AM-1024x437.png 1024w, https://www.marktechpost.com/wp-content/uploads/2024/09/Screenshot-2024-09-15-at-7.42.40-AM-300x128.png 300w, https://www.marktechpost.com/wp-content/uploads/2024/09/Screenshot-2024-09-15-at-7.42.40-AM-768x328.png 768w, https://www.marktechpost.com/wp-content/uploads/2024/09/Screenshot-2024-09-15-at-7.42.40-AM-984x420.png 984w, https://www.marktechpost.com/wp-content/uploads/2024/09/Screenshot-2024-09-15-at-7.42.40-AM-150x64.png 150w, https://www.marktechpost.com/wp-content/uploads/2024/09/Screenshot-2024-09-15-at-7.42.40-AM-696x297.png 696w, https://www.marktechpost.com/wp-content/uploads/2024/09/Screenshot-2024-09-15-at-7.42.40-AM-1068x456.png 1068w, https://www.marktechpost.com/wp-content/uploads/2024/09/Screenshot-2024-09-15-at-7.42.40-AM.png 1298w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure></div> <p>In conclusion, WindowsAgentArena is a significant advancement in evaluating AI agents in real-world OS environments. It addresses the limitations of previous benchmarks by offering a scalable, reproducible, and realistic testing platform that allows for rapid, parallelized evaluations of agents in the Windows OS ecosystem. With its diverse set of tasks and innovative evaluation metrics, this benchmark gives researchers and developers the tools to push the boundaries of AI agent development. Navi&#8217;s performance, though not yet matching human efficiency, showcases the benchmark’s potential in accelerating progress in multi-modal agent research. Its advanced perception techniques, like SoMs and UIA parsing, further pave the way for more capable and efficient AI agents in the future.</p> <hr class="wp-block-separator has-alpha-channel-opacity"/> <p>Check out the <strong><a href="https://arxiv.org/abs/2409.08264" target="_blank" rel="noreferrer noopener">Paper</a></strong>, <strong><a href="https://github.com/microsoft/WindowsAgentArena?tab=readme-ov-file" target="_blank" rel="noreferrer noopener">Code</a></strong>, and <strong><a href="https://microsoft.github.io/WindowsAgentArena/" target="_blank" rel="noreferrer noopener">Project Page</a></strong>. All credit for this research goes to the researchers of this project. 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C",SamsungTablet:"SAMSUNG.*Tablet|Galaxy.*Tab|SC-01C|GT-P1000|GT-P1003|GT-P1010|GT-P3105|GT-P6210|GT-P6800|GT-P6810|GT-P7100|GT-P7300|GT-P7310|GT-P7500|GT-P7510|SCH-I800|SCH-I815|SCH-I905|SGH-I957|SGH-I987|SGH-T849|SGH-T859|SGH-T869|SPH-P100|GT-P3100|GT-P3108|GT-P3110|GT-P5100|GT-P5110|GT-P6200|GT-P7320|GT-P7511|GT-N8000|GT-P8510|SGH-I497|SPH-P500|SGH-T779|SCH-I705|SCH-I915|GT-N8013|GT-P3113|GT-P5113|GT-P8110|GT-N8010|GT-N8005|GT-N8020|GT-P1013|GT-P6201|GT-P7501|GT-N5100|GT-N5105|GT-N5110|SHV-E140K|SHV-E140L|SHV-E140S|SHV-E150S|SHV-E230K|SHV-E230L|SHV-E230S|SHW-M180K|SHW-M180L|SHW-M180S|SHW-M180W|SHW-M300W|SHW-M305W|SHW-M380K|SHW-M380S|SHW-M380W|SHW-M430W|SHW-M480K|SHW-M480S|SHW-M480W|SHW-M485W|SHW-M486W|SHW-M500W|GT-I9228|SCH-P739|SCH-I925|GT-I9200|GT-P5200|GT-P5210|GT-P5210X|SM-T311|SM-T310|SM-T310X|SM-T210|SM-T210R|SM-T211|SM-P600|SM-P601|SM-P605|SM-P900|SM-P901|SM-T217|SM-T217A|SM-T217S|SM-P6000|SM-T3100|SGH-I467|XE500|SM-T110|GT-P5220|GT-I9200X|GT-N5110X|GT-N5120|SM-P905|SM-T111|SM-T2105|SM-T315|SM-T320|SM-T320X|SM-T321|SM-T520|SM-T525|SM-T530NU|SM-T230NU|SM-T330NU|SM-T900|XE500T1C|SM-P605V|SM-P905V|SM-T337V|SM-T537V|SM-T707V|SM-T807V|SM-P600X|SM-P900X|SM-T210X|SM-T230|SM-T230X|SM-T325|GT-P7503|SM-T531|SM-T330|SM-T530|SM-T705|SM-T705C|SM-T535|SM-T331|SM-T800|SM-T700|SM-T537|SM-T807|SM-P907A|SM-T337A|SM-T537A|SM-T707A|SM-T807A|SM-T237|SM-T807P|SM-P607T|SM-T217T|SM-T337T|SM-T807T|SM-T116NQ|SM-T116BU|SM-P550|SM-T350|SM-T550|SM-T9000|SM-P9000|SM-T705Y|SM-T805|GT-P3113|SM-T710|SM-T810|SM-T815|SM-T360|SM-T533|SM-T113|SM-T335|SM-T715|SM-T560|SM-T670|SM-T677|SM-T377|SM-T567|SM-T357T|SM-T555|SM-T561|SM-T713|SM-T719|SM-T813|SM-T819|SM-T580|SM-T355Y?|SM-T280|SM-T817A|SM-T820|SM-W700|SM-P580|SM-T587|SM-P350|SM-P555M|SM-P355M|SM-T113NU|SM-T815Y|SM-T585|SM-T285|SM-T825|SM-W708|SM-T835|SM-T830|SM-T837V|SM-T720|SM-T510|SM-T387V|SM-P610|SM-T290|SM-T515|SM-T590|SM-T595|SM-T725|SM-T817P|SM-P585N0|SM-T395|SM-T295|SM-T865|SM-P610N|SM-P615|SM-T970|SM-T380|SM-T5950|SM-T905|SM-T231|SM-T500|SM-T860",Kindle:"Kindle|Silk.*Accelerated|Android.*\\b(KFOT|KFTT|KFJWI|KFJWA|KFOTE|KFSOWI|KFTHWI|KFTHWA|KFAPWI|KFAPWA|WFJWAE|KFSAWA|KFSAWI|KFASWI|KFARWI|KFFOWI|KFGIWI|KFMEWI)\\b|Android.*Silk/[0-9.]+ like Chrome/[0-9.]+ (?!Mobile)",SurfaceTablet:"Windows NT [0-9.]+; ARM;.*(Tablet|ARMBJS)",HPTablet:"HP Slate (7|8|10)|HP ElitePad 900|hp-tablet|EliteBook.*Touch|HP 8|Slate 21|HP SlateBook 10",AsusTablet:"^.*PadFone((?!Mobile).)*$|Transformer|TF101|TF101G|TF300T|TF300TG|TF300TL|TF700T|TF700KL|TF701T|TF810C|ME171|ME301T|ME302C|ME371MG|ME370T|ME372MG|ME172V|ME173X|ME400C|Slider SL101|\\bK00F\\b|\\bK00C\\b|\\bK00E\\b|\\bK00L\\b|TX201LA|ME176C|ME102A|\\bM80TA\\b|ME372CL|ME560CG|ME372CG|ME302KL| K010 | K011 | K017 | K01E |ME572C|ME103K|ME170C|ME171C|\\bME70C\\b|ME581C|ME581CL|ME8510C|ME181C|P01Y|PO1MA|P01Z|\\bP027\\b|\\bP024\\b|\\bP00C\\b",BlackBerryTablet:"PlayBook|RIM Tablet",HTCtablet:"HTC_Flyer_P512|HTC Flyer|HTC Jetstream|HTC-P715a|HTC EVO View 4G|PG41200|PG09410",MotorolaTablet:"xoom|sholest|MZ615|MZ605|MZ505|MZ601|MZ602|MZ603|MZ604|MZ606|MZ607|MZ608|MZ609|MZ615|MZ616|MZ617",NookTablet:"Android.*Nook|NookColor|nook browser|BNRV200|BNRV200A|BNTV250|BNTV250A|BNTV400|BNTV600|LogicPD Zoom2",AcerTablet:"Android.*; \\b(A100|A101|A110|A200|A210|A211|A500|A501|A510|A511|A700|A701|W500|W500P|W501|W501P|W510|W511|W700|G100|G100W|B1-A71|B1-710|B1-711|A1-810|A1-811|A1-830)\\b|W3-810|\\bA3-A10\\b|\\bA3-A11\\b|\\bA3-A20\\b|\\bA3-A30|A3-A40",ToshibaTablet:"Android.*(AT100|AT105|AT200|AT205|AT270|AT275|AT300|AT305|AT1S5|AT500|AT570|AT700|AT830)|TOSHIBA.*FOLIO",LGTablet:"\\bL-06C|LG-V909|LG-V900|LG-V700|LG-V510|LG-V500|LG-V410|LG-V400|LG-VK810\\b",FujitsuTablet:"Android.*\\b(F-01D|F-02F|F-05E|F-10D|M532|Q572)\\b",PrestigioTablet:"PMP3170B|PMP3270B|PMP3470B|PMP7170B|PMP3370B|PMP3570C|PMP5870C|PMP3670B|PMP5570C|PMP5770D|PMP3970B|PMP3870C|PMP5580C|PMP5880D|PMP5780D|PMP5588C|PMP7280C|PMP7280C3G|PMP7280|PMP7880D|PMP5597D|PMP5597|PMP7100D|PER3464|PER3274|PER3574|PER3884|PER5274|PER5474|PMP5097CPRO|PMP5097|PMP7380D|PMP5297C|PMP5297C_QUAD|PMP812E|PMP812E3G|PMP812F|PMP810E|PMP880TD|PMT3017|PMT3037|PMT3047|PMT3057|PMT7008|PMT5887|PMT5001|PMT5002",LenovoTablet:"Lenovo TAB|Idea(Tab|Pad)( A1|A10| K1|)|ThinkPad([ ]+)?Tablet|YT3-850M|YT3-X90L|YT3-X90F|YT3-X90X|Lenovo.*(S2109|S2110|S5000|S6000|K3011|A3000|A3500|A1000|A2107|A2109|A1107|A5500|A7600|B6000|B8000|B8080)(-|)(FL|F|HV|H|)|TB-X103F|TB-X304X|TB-X304F|TB-X304L|TB-X505F|TB-X505L|TB-X505X|TB-X605F|TB-X605L|TB-8703F|TB-8703X|TB-8703N|TB-8704N|TB-8704F|TB-8704X|TB-8704V|TB-7304F|TB-7304I|TB-7304X|Tab2A7-10F|Tab2A7-20F|TB2-X30L|YT3-X50L|YT3-X50F|YT3-X50M|YT-X705F|YT-X703F|YT-X703L|YT-X705L|YT-X705X|TB2-X30F|TB2-X30L|TB2-X30M|A2107A-F|A2107A-H|TB3-730F|TB3-730M|TB3-730X|TB-7504F|TB-7504X|TB-X704F|TB-X104F|TB3-X70F|TB-X705F|TB-8504F|TB3-X70L|TB3-710F|TB-X704L",DellTablet:"Venue 11|Venue 8|Venue 7|Dell Streak 10|Dell Streak 7",YarvikTablet:"Android.*\\b(TAB210|TAB211|TAB224|TAB250|TAB260|TAB264|TAB310|TAB360|TAB364|TAB410|TAB411|TAB420|TAB424|TAB450|TAB460|TAB461|TAB464|TAB465|TAB467|TAB468|TAB07-100|TAB07-101|TAB07-150|TAB07-151|TAB07-152|TAB07-200|TAB07-201-3G|TAB07-210|TAB07-211|TAB07-212|TAB07-214|TAB07-220|TAB07-400|TAB07-485|TAB08-150|TAB08-200|TAB08-201-3G|TAB08-201-30|TAB09-100|TAB09-211|TAB09-410|TAB10-150|TAB10-201|TAB10-211|TAB10-400|TAB10-410|TAB13-201|TAB274EUK|TAB275EUK|TAB374EUK|TAB462EUK|TAB474EUK|TAB9-200)\\b",MedionTablet:"Android.*\\bOYO\\b|LIFE.*(P9212|P9514|P9516|S9512)|LIFETAB",ArnovaTablet:"97G4|AN10G2|AN7bG3|AN7fG3|AN8G3|AN8cG3|AN7G3|AN9G3|AN7dG3|AN7dG3ST|AN7dG3ChildPad|AN10bG3|AN10bG3DT|AN9G2",IntensoTablet:"INM8002KP|INM1010FP|INM805ND|Intenso Tab|TAB1004",IRUTablet:"M702pro",MegafonTablet:"MegaFon V9|\\bZTE V9\\b|Android.*\\bMT7A\\b",EbodaTablet:"E-Boda (Supreme|Impresspeed|Izzycomm|Essential)",AllViewTablet:"Allview.*(Viva|Alldro|City|Speed|All TV|Frenzy|Quasar|Shine|TX1|AX1|AX2)",ArchosTablet:"\\b(101G9|80G9|A101IT)\\b|Qilive 97R|Archos5|\\bARCHOS (70|79|80|90|97|101|FAMILYPAD|)(b|c|)(G10| Cobalt| TITANIUM(HD|)| Xenon| Neon|XSK| 2| XS 2| PLATINUM| CARBON|GAMEPAD)\\b",AinolTablet:"NOVO7|NOVO8|NOVO10|Novo7Aurora|Novo7Basic|NOVO7PALADIN|novo9-Spark",NokiaLumiaTablet:"Lumia 2520",SonyTablet:"Sony.*Tablet|Xperia Tablet|Sony Tablet S|SO-03E|SGPT12|SGPT13|SGPT114|SGPT121|SGPT122|SGPT123|SGPT111|SGPT112|SGPT113|SGPT131|SGPT132|SGPT133|SGPT211|SGPT212|SGPT213|SGP311|SGP312|SGP321|EBRD1101|EBRD1102|EBRD1201|SGP351|SGP341|SGP511|SGP512|SGP521|SGP541|SGP551|SGP621|SGP641|SGP612|SOT31|SGP771|SGP611|SGP612|SGP712",PhilipsTablet:"\\b(PI2010|PI3000|PI3100|PI3105|PI3110|PI3205|PI3210|PI3900|PI4010|PI7000|PI7100)\\b",CubeTablet:"Android.*(K8GT|U9GT|U10GT|U16GT|U17GT|U18GT|U19GT|U20GT|U23GT|U30GT)|CUBE 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\\b(E3A|T3X|T5C|T5B|T3E|T3C|T3B|T1J|T1F|T2A|T1H|T1i|E1C|T1-E|T5-A|T4|E1-B|T2Ci|T1-B|T1-D|O1-A|E1-A|T1-A|T3A|T4i)\\b ",DanyTechTablet:"Genius Tab G3|Genius Tab S2|Genius Tab Q3|Genius Tab G4|Genius Tab Q4|Genius Tab G-II|Genius TAB GII|Genius TAB GIII|Genius Tab S1",GalapadTablet:"Android [0-9.]+; [a-z-]+; \\bG1\\b",MicromaxTablet:"Funbook|Micromax.*\\b(P250|P560|P360|P362|P600|P300|P350|P500|P275)\\b",KarbonnTablet:"Android.*\\b(A39|A37|A34|ST8|ST10|ST7|Smart Tab3|Smart Tab2)\\b",AllFineTablet:"Fine7 Genius|Fine7 Shine|Fine7 Air|Fine8 Style|Fine9 More|Fine10 Joy|Fine11 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7004|FreeTAB 7800|FreeTAB 2096|FreeTAB 7.5|FreeTAB 1014|FreeTAB 1001 |FreeTAB 8001|FreeTAB 9706|FreeTAB 9702|FreeTAB 7003|FreeTAB 7002|FreeTAB 1002|FreeTAB 7801|FreeTAB 1331|FreeTAB 1004|FreeTAB 8002|FreeTAB 8014|FreeTAB 9704|FreeTAB 1003",VoninoTablet:"\\b(Argus[ _]?S|Diamond[ _]?79HD|Emerald[ _]?78E|Luna[ _]?70C|Onyx[ _]?S|Onyx[ _]?Z|Orin[ _]?HD|Orin[ _]?S|Otis[ _]?S|SpeedStar[ _]?S|Magnet[ _]?M9|Primus[ _]?94[ _]?3G|Primus[ _]?94HD|Primus[ _]?QS|Android.*\\bQ8\\b|Sirius[ _]?EVO[ _]?QS|Sirius[ _]?QS|Spirit[ _]?S)\\b",ECSTablet:"V07OT2|TM105A|S10OT1|TR10CS1",StorexTablet:"eZee[_']?(Tab|Go)[0-9]+|TabLC7|Looney Tunes Tab",VodafoneTablet:"SmartTab([ ]+)?[0-9]+|SmartTabII10|SmartTabII7|VF-1497|VFD 1400",EssentielBTablet:"Smart[ ']?TAB[ ]+?[0-9]+|Family[ ']?TAB2",RossMoorTablet:"RM-790|RM-997|RMD-878G|RMD-974R|RMT-705A|RMT-701|RME-601|RMT-501|RMT-711",iMobileTablet:"i-mobile i-note",TolinoTablet:"tolino tab [0-9.]+|tolino shine",AudioSonicTablet:"\\bC-22Q|T7-QC|T-17B|T-17P\\b",AMPETablet:"Android.* A78 ",SkkTablet:"Android.* (SKYPAD|PHOENIX|CYCLOPS)",TecnoTablet:"TECNO P9|TECNO DP8D",JXDTablet:"Android.* \\b(F3000|A3300|JXD5000|JXD3000|JXD2000|JXD300B|JXD300|S5800|S7800|S602b|S5110b|S7300|S5300|S602|S603|S5100|S5110|S601|S7100a|P3000F|P3000s|P101|P200s|P1000m|P200m|P9100|P1000s|S6600b|S908|P1000|P300|S18|S6600|S9100)\\b",iJoyTablet:"Tablet (Spirit 7|Essentia|Galatea|Fusion|Onix 7|Landa|Titan|Scooby|Deox|Stella|Themis|Argon|Unique 7|Sygnus|Hexen|Finity 7|Cream|Cream X2|Jade|Neon 7|Neron 7|Kandy|Scape|Saphyr 7|Rebel|Biox|Rebel|Rebel 8GB|Myst|Draco 7|Myst|Tab7-004|Myst|Tadeo Jones|Tablet Boing|Arrow|Draco Dual Cam|Aurix|Mint|Amity|Revolution|Finity 9|Neon 9|T9w|Amity 4GB Dual Cam|Stone 4GB|Stone 8GB|Andromeda|Silken|X2|Andromeda II|Halley|Flame|Saphyr 9,7|Touch 8|Planet|Triton|Unique 10|Hexen 10|Memphis 4GB|Memphis 8GB|Onix 10)",FX2Tablet:"FX2 PAD7|FX2 PAD10",XoroTablet:"KidsPAD 701|PAD[ ]?712|PAD[ ]?714|PAD[ ]?716|PAD[ ]?717|PAD[ ]?718|PAD[ ]?720|PAD[ ]?721|PAD[ ]?722|PAD[ ]?790|PAD[ ]?792|PAD[ ]?900|PAD[ ]?9715D|PAD[ ]?9716DR|PAD[ ]?9718DR|PAD[ ]?9719QR|PAD[ ]?9720QR|TelePAD1030|Telepad1032|TelePAD730|TelePAD731|TelePAD732|TelePAD735Q|TelePAD830|TelePAD9730|TelePAD795|MegaPAD 1331|MegaPAD 1851|MegaPAD 2151",ViewsonicTablet:"ViewPad 10pi|ViewPad 10e|ViewPad 10s|ViewPad E72|ViewPad7|ViewPad E100|ViewPad 7e|ViewSonic VB733|VB100a",VerizonTablet:"QTAQZ3|QTAIR7|QTAQTZ3|QTASUN1|QTASUN2|QTAXIA1",OdysTablet:"LOOX|XENO10|ODYS[ -](Space|EVO|Xpress|NOON)|\\bXELIO\\b|Xelio10Pro|XELIO7PHONETAB|XELIO10EXTREME|XELIOPT2|NEO_QUAD10",CaptivaTablet:"CAPTIVA PAD",IconbitTablet:"NetTAB|NT-3702|NT-3702S|NT-3702S|NT-3603P|NT-3603P|NT-0704S|NT-0704S|NT-3805C|NT-3805C|NT-0806C|NT-0806C|NT-0909T|NT-0909T|NT-0907S|NT-0907S|NT-0902S|NT-0902S",TeclastTablet:"T98 4G|\\bP80\\b|\\bX90HD\\b|X98 Air|X98 Air 3G|\\bX89\\b|P80 3G|\\bX80h\\b|P98 Air|\\bX89HD\\b|P98 3G|\\bP90HD\\b|P89 3G|X98 3G|\\bP70h\\b|P79HD 3G|G18d 3G|\\bP79HD\\b|\\bP89s\\b|\\bA88\\b|\\bP10HD\\b|\\bP19HD\\b|G18 3G|\\bP78HD\\b|\\bA78\\b|\\bP75\\b|G17s 3G|G17h 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\\b4G\\b",JaytechTablet:"TPC-PA762",BlaupunktTablet:"Endeavour 800NG|Endeavour 1010",DigmaTablet:"\\b(iDx10|iDx9|iDx8|iDx7|iDxD7|iDxD8|iDsQ8|iDsQ7|iDsQ8|iDsD10|iDnD7|3TS804H|iDsQ11|iDj7|iDs10)\\b",EvolioTablet:"ARIA_Mini_wifi|Aria[ _]Mini|Evolio X10|Evolio X7|Evolio X8|\\bEvotab\\b|\\bNeura\\b",LavaTablet:"QPAD E704|\\bIvoryS\\b|E-TAB IVORY|\\bE-TAB\\b",AocTablet:"MW0811|MW0812|MW0922|MTK8382|MW1031|MW0831|MW0821|MW0931|MW0712",MpmanTablet:"MP11 OCTA|MP10 OCTA|MPQC1114|MPQC1004|MPQC994|MPQC974|MPQC973|MPQC804|MPQC784|MPQC780|\\bMPG7\\b|MPDCG75|MPDCG71|MPDC1006|MP101DC|MPDC9000|MPDC905|MPDC706HD|MPDC706|MPDC705|MPDC110|MPDC100|MPDC99|MPDC97|MPDC88|MPDC8|MPDC77|MP709|MID701|MID711|MID170|MPDC703|MPQC1010",CelkonTablet:"CT695|CT888|CT[\\s]?910|CT7 Tab|CT9 Tab|CT3 Tab|CT2 Tab|CT1 Tab|C820|C720|\\bCT-1\\b",WolderTablet:"miTab \\b(DIAMOND|SPACE|BROOKLYN|NEO|FLY|MANHATTAN|FUNK|EVOLUTION|SKY|GOCAR|IRON|GENIUS|POP|MINT|EPSILON|BROADWAY|JUMP|HOP|LEGEND|NEW AGE|LINE|ADVANCE|FEEL|FOLLOW|LIKE|LINK|LIVE|THINK|FREEDOM|CHICAGO|CLEVELAND|BALTIMORE-GH|IOWA|BOSTON|SEATTLE|PHOENIX|DALLAS|IN 101|MasterChef)\\b",MediacomTablet:"M-MPI10C3G|M-SP10EG|M-SP10EGP|M-SP10HXAH|M-SP7HXAH|M-SP10HXBH|M-SP8HXAH|M-SP8MXA",MiTablet:"\\bMI PAD\\b|\\bHM NOTE 1W\\b",NibiruTablet:"Nibiru M1|Nibiru Jupiter One",NexoTablet:"NEXO NOVA|NEXO 10|NEXO AVIO|NEXO FREE|NEXO GO|NEXO EVO|NEXO 3G|NEXO SMART|NEXO KIDDO|NEXO MOBI",LeaderTablet:"TBLT10Q|TBLT10I|TBL-10WDKB|TBL-10WDKBO2013|TBL-W230V2|TBL-W450|TBL-W500|SV572|TBLT7I|TBA-AC7-8G|TBLT79|TBL-8W16|TBL-10W32|TBL-10WKB|TBL-W100",UbislateTablet:"UbiSlate[\\s]?7C",PocketBookTablet:"Pocketbook",KocasoTablet:"\\b(TB-1207)\\b",HisenseTablet:"\\b(F5281|E2371)\\b",Hudl:"Hudl HT7S3|Hudl 2",TelstraTablet:"T-Hub2",GenericTablet:"Android.*\\b97D\\b|Tablet(?!.*PC)|BNTV250A|MID-WCDMA|LogicPD Zoom2|\\bA7EB\\b|CatNova8|A1_07|CT704|CT1002|\\bM721\\b|rk30sdk|\\bEVOTAB\\b|M758A|ET904|ALUMIUM10|Smartfren Tab|Endeavour 1010|Tablet-PC-4|Tagi Tab|\\bM6pro\\b|CT1020W|arc 10HD|\\bTP750\\b|\\bQTAQZ3\\b|WVT101|TM1088|KT107"},oss:{AndroidOS:"Android",BlackBerryOS:"blackberry|\\bBB10\\b|rim tablet os",PalmOS:"PalmOS|avantgo|blazer|elaine|hiptop|palm|plucker|xiino",SymbianOS:"Symbian|SymbOS|Series60|Series40|SYB-[0-9]+|\\bS60\\b",WindowsMobileOS:"Windows CE.*(PPC|Smartphone|Mobile|[0-9]{3}x[0-9]{3})|Windows Mobile|Windows Phone [0-9.]+|WCE;",WindowsPhoneOS:"Windows Phone 10.0|Windows Phone 8.1|Windows Phone 8.0|Windows Phone OS|XBLWP7|ZuneWP7|Windows NT 6.[23]; ARM;",iOS:"\\biPhone.*Mobile|\\biPod|\\biPad|AppleCoreMedia",iPadOS:"CPU OS 13",SailfishOS:"Sailfish",MeeGoOS:"MeeGo",MaemoOS:"Maemo",JavaOS:"J2ME/|\\bMIDP\\b|\\bCLDC\\b",webOS:"webOS|hpwOS",badaOS:"\\bBada\\b",BREWOS:"BREW"},uas:{Chrome:"\\bCrMo\\b|CriOS|Android.*Chrome/[.0-9]* (Mobile)?",Dolfin:"\\bDolfin\\b",Opera:"Opera.*Mini|Opera.*Mobi|Android.*Opera|Mobile.*OPR/[0-9.]+$|Coast/[0-9.]+",Skyfire:"Skyfire",Edge:"\\bEdgiOS\\b|Mobile Safari/[.0-9]* Edge",IE:"IEMobile|MSIEMobile",Firefox:"fennec|firefox.*maemo|(Mobile|Tablet).*Firefox|Firefox.*Mobile|FxiOS",Bolt:"bolt",TeaShark:"teashark",Blazer:"Blazer",Safari:"Version((?!\\bEdgiOS\\b).)*Mobile.*Safari|Safari.*Mobile|MobileSafari",WeChat:"\\bMicroMessenger\\b",UCBrowser:"UC.*Browser|UCWEB",baiduboxapp:"baiduboxapp",baidubrowser:"baidubrowser",DiigoBrowser:"DiigoBrowser",Mercury:"\\bMercury\\b",ObigoBrowser:"Obigo",NetFront:"NF-Browser",GenericBrowser:"NokiaBrowser|OviBrowser|OneBrowser|TwonkyBeamBrowser|SEMC.*Browser|FlyFlow|Minimo|NetFront|Novarra-Vision|MQQBrowser|MicroMessenger",PaleMoon:"Android.*PaleMoon|Mobile.*PaleMoon"},props:{Mobile:"Mobile/[VER]",Build:"Build/[VER]",Version:"Version/[VER]",VendorID:"VendorID/[VER]",iPad:"iPad.*CPU[a-z ]+[VER]",iPhone:"iPhone.*CPU[a-z ]+[VER]",iPod:"iPod.*CPU[a-z ]+[VER]",Kindle:"Kindle/[VER]",Chrome:["Chrome/[VER]","CriOS/[VER]","CrMo/[VER]"],Coast:["Coast/[VER]"],Dolfin:"Dolfin/[VER]",Firefox:["Firefox/[VER]","FxiOS/[VER]"],Fennec:"Fennec/[VER]",Edge:"Edge/[VER]",IE:["IEMobile/[VER];","IEMobile [VER]","MSIE [VER];","Trident/[0-9.]+;.*rv:[VER]"],NetFront:"NetFront/[VER]",NokiaBrowser:"NokiaBrowser/[VER]",Opera:[" OPR/[VER]","Opera Mini/[VER]","Version/[VER]"],"Opera Mini":"Opera Mini/[VER]","Opera Mobi":"Version/[VER]",UCBrowser:["UCWEB[VER]","UC.*Browser/[VER]"],MQQBrowser:"MQQBrowser/[VER]",MicroMessenger:"MicroMessenger/[VER]",baiduboxapp:"baiduboxapp/[VER]",baidubrowser:"baidubrowser/[VER]",SamsungBrowser:"SamsungBrowser/[VER]",Iron:"Iron/[VER]",Safari:["Version/[VER]","Safari/[VER]"],Skyfire:"Skyfire/[VER]",Tizen:"Tizen/[VER]",Webkit:"webkit[ /][VER]",PaleMoon:"PaleMoon/[VER]",SailfishBrowser:"SailfishBrowser/[VER]",Gecko:"Gecko/[VER]",Trident:"Trident/[VER]",Presto:"Presto/[VER]",Goanna:"Goanna/[VER]",iOS:" \\bi?OS\\b [VER][ ;]{1}",Android:"Android [VER]",Sailfish:"Sailfish [VER]",BlackBerry:["BlackBerry[\\w]+/[VER]","BlackBerry.*Version/[VER]","Version/[VER]"],BREW:"BREW [VER]",Java:"Java/[VER]","Windows Phone OS":["Windows Phone OS [VER]","Windows Phone [VER]"],"Windows Phone":"Windows Phone [VER]","Windows CE":"Windows CE/[VER]","Windows NT":"Windows NT [VER]",Symbian:["SymbianOS/[VER]","Symbian/[VER]"],webOS:["webOS/[VER]","hpwOS/[VER];"]},utils:{Bot:"Googlebot|facebookexternalhit|Google-AMPHTML|s~amp-validator|AdsBot-Google|Google Keyword Suggestion|Facebot|YandexBot|YandexMobileBot|bingbot|ia_archiver|AhrefsBot|Ezooms|GSLFbot|WBSearchBot|Twitterbot|TweetmemeBot|Twikle|PaperLiBot|Wotbox|UnwindFetchor|Exabot|MJ12bot|YandexImages|TurnitinBot|Pingdom|contentkingapp|AspiegelBot",MobileBot:"Googlebot-Mobile|AdsBot-Google-Mobile|YahooSeeker/M1A1-R2D2",DesktopMode:"WPDesktop",TV:"SonyDTV|HbbTV",WebKit:"(webkit)[ /]([\\w.]+)",Console:"\\b(Nintendo|Nintendo WiiU|Nintendo 3DS|Nintendo Switch|PLAYSTATION|Xbox)\\b",Watch:"SM-V700"}},g.detectMobileBrowsers={fullPattern:/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i, shortPattern:/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g 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