├── docs ├── blog │ ├── index.md │ └── posts │ │ ├── IBM_2Q_2025_Announcement.md │ │ ├── toolkit-pytorch.md │ │ ├── redbooks.md │ │ ├── ai-solution-templates.md │ │ ├── wmlz-new.md │ │ └── ai-toolkit.md ├── z16aiusw.jpg ├── z16aiusw.png ├── overview_1.jpg ├── resources.md ├── infusing.md ├── help.md ├── opensource.md ├── codingAIU.md ├── aitoolkitloz.md ├── README.md ├── pyaitoolkit.md ├── pmmlconv.md ├── solutiontemplates.md ├── tensorflow.md ├── terminology.md ├── pytorch.md ├── onnxconv.md ├── tritonis.md ├── snapml.md ├── zAccel.md └── onnxdlc.md ├── google5b2bc2bf5e2ae482.html ├── site ├── assets │ ├── javascripts │ │ └── lunr │ │ │ └── min │ │ │ ├── lunr.jp.min.js │ │ │ ├── lunr.vi.min.js │ │ │ ├── lunr.multi.min.js │ │ │ ├── lunr.th.min.js │ │ │ ├── lunr.hy.min.js │ │ │ ├── lunr.te.min.js │ │ │ ├── lunr.ta.min.js │ │ │ ├── lunr.zh.min.js │ │ │ ├── lunr.ja.min.js │ │ │ ├── lunr.hi.min.js │ │ │ ├── lunr.kn.min.js │ │ │ ├── lunr.sa.min.js │ │ │ ├── lunr.stemmer.support.min.js │ │ │ ├── lunr.ko.min.js │ │ │ ├── lunr.sv.min.js │ │ │ ├── lunr.da.min.js │ │ │ ├── lunr.no.min.js │ │ │ ├── lunr.he.min.js │ │ │ ├── lunr.nl.min.js │ │ │ ├── lunr.de.min.js │ │ │ ├── lunr.du.min.js │ │ │ ├── lunr.ru.min.js │ │ │ ├── lunr.fi.min.js │ │ │ ├── lunr.hu.min.js │ │ │ ├── lunr.pt.min.js │ │ │ ├── lunr.el.min.js │ │ │ ├── lunr.fr.min.js │ │ │ ├── lunr.ro.min.js │ │ │ ├── lunr.it.min.js │ │ │ └── lunr.es.min.js │ ├── images │ │ └── favicon.png │ └── stylesheets │ │ ├── palette.06af60db.min.css.map │ │ └── palette.06af60db.min.css ├── z16aiusw.jpg ├── z16aiusw.png ├── overview_1.jpg ├── sitemap.xml.gz ├── blog │ └── IBM 2Q 2025 Announcement └── sitemap.xml ├── README.md ├── .gitignore ├── .gitbook.yaml ├── .gitmodules ├── mkdocs.yml └── LICENSE /docs/blog/index.md: -------------------------------------------------------------------------------- 1 | # Updates and news -------------------------------------------------------------------------------- /google5b2bc2bf5e2ae482.html: -------------------------------------------------------------------------------- 1 | google-site-verification: google5b2bc2bf5e2ae482.html -------------------------------------------------------------------------------- /site/assets/javascripts/lunr/min/lunr.jp.min.js: -------------------------------------------------------------------------------- 1 | module.exports=require("./lunr.ja"); -------------------------------------------------------------------------------- /docs/z16aiusw.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/IBM/ai-on-z-101/main/docs/z16aiusw.jpg -------------------------------------------------------------------------------- /docs/z16aiusw.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/IBM/ai-on-z-101/main/docs/z16aiusw.png -------------------------------------------------------------------------------- /site/z16aiusw.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/IBM/ai-on-z-101/main/site/z16aiusw.jpg -------------------------------------------------------------------------------- /site/z16aiusw.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/IBM/ai-on-z-101/main/site/z16aiusw.png -------------------------------------------------------------------------------- /docs/overview_1.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/IBM/ai-on-z-101/main/docs/overview_1.jpg -------------------------------------------------------------------------------- /site/overview_1.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/IBM/ai-on-z-101/main/site/overview_1.jpg -------------------------------------------------------------------------------- /site/sitemap.xml.gz: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/IBM/ai-on-z-101/main/site/sitemap.xml.gz -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # ai-on-z-101 2 | AI on Z Github pages 3 | 4 | Created using [mkdocs](https://www.mkdocs.org/) 5 | -------------------------------------------------------------------------------- /site/assets/images/favicon.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/IBM/ai-on-z-101/main/site/assets/images/favicon.png -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | 2 | .DS_Store 3 | .vscode/configurationCache.log 4 | .vscode/dryrun.log 5 | .vscode/settings.json 6 | .vscode/targets.log 7 | -------------------------------------------------------------------------------- /.gitbook.yaml: -------------------------------------------------------------------------------- 1 | # Do not edit this file, to adjust the table of contents, modify SUMMARY.md 2 | 3 | root: ./docs/ 4 | 5 | structure: 6 | readme: README.md 7 | summary: SUMMARY.md -------------------------------------------------------------------------------- /site/blog/IBM 2Q 2025 Announcement: -------------------------------------------------------------------------------- 1 | --- 2 | date: 2025-04-08 3 | categories: 4 | - general 5 | - IBM Z 6 | --- 7 | 8 | # Announcing the IBM z17 9 | 10 | - Further details available [here](https://www.ibm.com/) 11 | 12 | -------------------------------------------------------------------------------- /docs/blog/posts/IBM_2Q_2025_Announcement.md: -------------------------------------------------------------------------------- 1 | --- 2 | date: 2025-04-08 3 | categories: 4 | - general 5 | - IBM Z 6 | --- 7 | 8 | # Announcing the IBM z17 9 | 10 | - Further details available [here](https://www.ibm.com/) 11 | 12 | -------------------------------------------------------------------------------- /docs/resources.md: -------------------------------------------------------------------------------- 1 | ## Getting access to IBM Z and LinuxONE environments. 2 | 3 | Various Linux on Z VM and CI enviroment resources can be found here: [IBM developer blog on resources](https://developer.ibm.com/blogs/developer-resources-for-building-your-open-source-app-for-linux-on-ibm-z-and-linuxone/) -------------------------------------------------------------------------------- /docs/blog/posts/toolkit-pytorch.md: -------------------------------------------------------------------------------- 1 | --- 2 | date: 2024-11-22 3 | categories: 4 | - general 5 | - site updates 6 | --- 7 | 8 | # Updates to our 101 pages 9 | 10 | With the GA of PyTorch as a component of the AI Toolkit, pages added: 11 | - Now available - IBM Z Accelerated for [PyTorch](pytorch.md) 12 | -------------------------------------------------------------------------------- /docs/infusing.md: -------------------------------------------------------------------------------- 1 | ### Infusing AI into IBM Z and LinuxONE applications 2 | 3 | For detailed up to date information, see the [Journey to AI on IBM Z and LinuxONE content solution](https://www.ibm.com/support/z-content-solutions/journey-to-ai-on-z/) 4 | 5 | See section "Infusing AI into applications" under "Learn more". -------------------------------------------------------------------------------- /docs/blog/posts/redbooks.md: -------------------------------------------------------------------------------- 1 | --- 2 | date: 2024-06-20 3 | categories: 4 | - general 5 | - site updates 6 | - documentation 7 | --- 8 | 9 | # New Linux on Z Focused redbook asset 10 | 11 | - A very deep exploration of AI on Linux on Z titled Enriching Linux on IBM Z Workloads with AI 12 | on the IBM Redbook site [here](https://www.redbooks.ibm.com/redpapers/pdfs/redp5712.pdf) 13 | -------------------------------------------------------------------------------- /docs/blog/posts/ai-solution-templates.md: -------------------------------------------------------------------------------- 1 | --- 2 | date: 2024-03-15 3 | categories: 4 | - general 5 | - site updates 6 | --- 7 | 8 | # Launch of AI Solution Templates on IBM Z & LinuxONE 9 | 10 | - A guided hands-on experience to jumpstart your deployment of AI on IBM Z 11 | - Further details available [here](https://community.ibm.com/community/user/ibmz-and-linuxone/blogs/evan-rivera/2024/03/13/ai-solution-templates-for-ibm-z-linuxone) 12 | -------------------------------------------------------------------------------- /docs/blog/posts/wmlz-new.md: -------------------------------------------------------------------------------- 1 | --- 2 | date: 2023-07-07 3 | categories: 4 | - general 5 | - site updates 6 | --- 7 | 8 | # Updates to our 101 pages 9 | 10 | We've added quite a bit of new content - including: 11 | 12 | - sections for guidance on converting models to [ONNX](/ai-on-z-101/onnxconv/) and [PMML](/ai-on-z-101/pmmlconv/) 13 | - information on using [Triton inference server](/ai-on-z-101/tritonis/) 14 | - various updates to existing sections 15 | 16 | -------------------------------------------------------------------------------- /.gitmodules: -------------------------------------------------------------------------------- 1 | [submodule "ai-on-z-samples"] 2 | path = ai-on-z-samples 3 | url = https://github.com/IBM/ai-on-z-samples 4 | [submodule "docs/ai-on-z-fraud-detection"] 5 | path = docs/ai-on-z-fraud-detection 6 | url = https://github.com/IBM/ai-on-z-fraud-detection 7 | [submodule "docs/ai-on-z-containers"] 8 | path = docs/ai-on-z-containers 9 | url = https://github.com/IBM/ai-on-z-containers 10 | [submodule "zDNN"] 11 | path = zDNN 12 | url = https://github.com/IBM/zDNN 13 | -------------------------------------------------------------------------------- /docs/help.md: -------------------------------------------------------------------------------- 1 | ## Resources and Contacts 2 | 3 | The path to getting started with AI on IBM Z and LinuxONE can vary based on the use case and goal that you have. 4 | 5 | In addition to this page, the following resources should be helpful: 6 | 7 | - [Journey to AI on IBM Z and LinuxONE content solution](https://www.ibm.com/support/z-content-solutions/journey-to-ai-on-z/) 8 | - [AI on IBM Z and LinuxONE Community](https://ibm.biz/BdPBud) 9 | - [Contact the IBM zSystems and LinuxONE AI core team](mailto:aionz@us.ibm.com) 10 | 11 | -------------------------------------------------------------------------------- /docs/blog/posts/ai-toolkit.md: -------------------------------------------------------------------------------- 1 | --- 2 | date: 2024-01-12 3 | categories: 4 | - general 5 | - site updates 6 | --- 7 | 8 | # 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Please include / require Lunr stemmer support before this script.");e.ko=function(){this.pipeline.reset(),this.pipeline.add(e.ko.trimmer,e.ko.stopWordFilter)},e.ko.wordCharacters="[A-Za-z가-힣]",e.ko.trimmer=e.trimmerSupport.generateTrimmer(e.ko.wordCharacters),e.Pipeline.registerFunction(e.ko.trimmer,"trimmer-ko"),e.ko.stopWordFilter=e.generateStopWordFilter("아 휴 아이구 아이쿠 아이고 어 나 우리 저희 따라 의해 을 를 에 의 가 으로 로 에게 뿐이다 의거하여 근거하여 입각하여 기준으로 예하면 예를 들면 예를 들자면 저 소인 소생 저희 지말고 하지마 하지마라 다른 물론 또한 그리고 비길수 없다 해서는 안된다 뿐만 아니라 만이 아니다 만은 아니다 막론하고 관계없이 그치지 않다 그러나 그런데 하지만 든간에 논하지 않다 따지지 않다 설사 비록 더라도 아니면 만 못하다 하는 편이 낫다 불문하고 향하여 향해서 향하다 쪽으로 틈타 이용하여 타다 오르다 제외하고 이 외에 이 밖에 하여야 비로소 한다면 몰라도 외에도 이곳 여기 부터 기점으로 따라서 할 생각이다 하려고하다 이리하여 그리하여 그렇게 함으로써 하지만 일때 할때 앞에서 중에서 보는데서 으로써 로써 까지 해야한다 일것이다 반드시 할줄알다 할수있다 할수있어 임에 틀림없다 한다면 등 등등 제 겨우 단지 다만 할뿐 딩동 댕그 대해서 대하여 대하면 훨씬 얼마나 얼마만큼 얼마큼 남짓 여 얼마간 약간 다소 좀 조금 다수 몇 얼마 지만 하물며 또한 그러나 그렇지만 하지만 이외에도 대해 말하자면 뿐이다 다음에 반대로 반대로 말하자면 이와 반대로 바꾸어서 말하면 바꾸어서 한다면 만약 그렇지않으면 까악 툭 딱 삐걱거리다 보드득 비걱거리다 꽈당 응당 해야한다 에 가서 각 각각 여러분 각종 각자 제각기 하도록하다 와 과 그러므로 그래서 고로 한 까닭에 하기 때문에 거니와 이지만 대하여 관하여 관한 과연 실로 아니나다를가 생각한대로 진짜로 한적이있다 하곤하였다 하 하하 허허 아하 거바 와 오 왜 어째서 무엇때문에 어찌 하겠는가 무슨 어디 어느곳 더군다나 하물며 더욱이는 어느때 언제 야 이봐 어이 여보시오 흐흐 흥 휴 헉헉 헐떡헐떡 영차 여차 어기여차 끙끙 아야 앗 아야 콸콸 졸졸 좍좍 뚝뚝 주룩주룩 솨 우르르 그래도 또 그리고 바꾸어말하면 바꾸어말하자면 혹은 혹시 답다 및 그에 따르는 때가 되어 즉 지든지 설령 가령 하더라도 할지라도 일지라도 지든지 몇 거의 하마터면 인젠 이젠 된바에야 된이상 만큼\t어찌됏든 그위에 게다가 점에서 보아 비추어 보아 고려하면 하게될것이다 일것이다 비교적 좀 보다더 비하면 시키다 하게하다 할만하다 의해서 연이서 이어서 잇따라 뒤따라 뒤이어 결국 의지하여 기대여 통하여 자마자 더욱더 불구하고 얼마든지 마음대로 주저하지 않고 곧 즉시 바로 당장 하자마자 밖에 안된다 하면된다 그래 그렇지 요컨대 다시 말하자면 바꿔 말하면 즉 구체적으로 말하자면 시작하여 시초에 이상 허 헉 허걱 바와같이 해도좋다 해도된다 게다가 더구나 하물며 와르르 팍 퍽 펄렁 동안 이래 하고있었다 이었다 에서 로부터 까지 예하면 했어요 해요 함께 같이 더불어 마저 마저도 양자 모두 습니다 가까스로 하려고하다 즈음하여 다른 다른 방면으로 해봐요 습니까 했어요 말할것도 없고 무릎쓰고 개의치않고 하는것만 못하다 하는것이 낫다 매 매번 들 모 어느것 어느 로써 갖고말하자면 어디 어느쪽 어느것 어느해 어느 년도 라 해도 언젠가 어떤것 어느것 저기 저쪽 저것 그때 그럼 그러면 요만한걸 그래 그때 저것만큼 그저 이르기까지 할 줄 안다 할 힘이 있다 너 너희 당신 어찌 설마 차라리 할지언정 할지라도 할망정 할지언정 구토하다 게우다 토하다 메쓰겁다 옆사람 퉤 쳇 의거하여 근거하여 의해 따라 힘입어 그 다음 버금 두번째로 기타 첫번째로 나머지는 그중에서 견지에서 형식으로 쓰여 입장에서 위해서 단지 의해되다 하도록시키다 뿐만아니라 반대로 전후 전자 앞의것 잠시 잠깐 하면서 그렇지만 다음에 그러한즉 그런즉 남들 아무거나 어찌하든지 같다 비슷하다 예컨대 이럴정도로 어떻게 만약 만일 위에서 서술한바와같이 인 듯하다 하지 않는다면 만약에 무엇 무슨 어느 어떤 아래윗 조차 한데 그럼에도 불구하고 여전히 심지어 까지도 조차도 하지 않도록 않기 위하여 때 시각 무렵 시간 동안 어때 어떠한 하여금 네 예 우선 누구 누가 알겠는가 아무도 줄은모른다 줄은 몰랏다 하는 김에 겸사겸사 하는바 그런 까닭에 한 이유는 그러니 그러니까 때문에 그 너희 그들 너희들 타인 것 것들 너 위하여 공동으로 동시에 하기 위하여 어찌하여 무엇때문에 붕붕 윙윙 나 우리 엉엉 휘익 윙윙 오호 아하 어쨋든 만 못하다\t하기보다는 차라리 하는 편이 낫다 흐흐 놀라다 상대적으로 말하자면 마치 아니라면 쉿 그렇지 않으면 그렇지 않다면 안 그러면 아니었다면 하든지 아니면 이라면 좋아 알았어 하는것도 그만이다 어쩔수 없다 하나 일 일반적으로 일단 한켠으로는 오자마자 이렇게되면 이와같다면 전부 한마디 한항목 근거로 하기에 아울러 하지 않도록 않기 위해서 이르기까지 이 되다 로 인하여 까닭으로 이유만으로 이로 인하여 그래서 이 때문에 그러므로 그런 까닭에 알 수 있다 결론을 낼 수 있다 으로 인하여 있다 어떤것 관계가 있다 관련이 있다 연관되다 어떤것들 에 대해 이리하여 그리하여 여부 하기보다는 하느니 하면 할수록 운운 이러이러하다 하구나 하도다 다시말하면 다음으로 에 있다 에 달려 있다 우리 우리들 오히려 하기는한데 어떻게 어떻해 어찌됏어 어때 어째서 본대로 자 이 이쪽 여기 이것 이번 이렇게말하자면 이런 이러한 이와 같은 요만큼 요만한 것 얼마 안 되는 것 이만큼 이 정도의 이렇게 많은 것 이와 같다 이때 이렇구나 것과 같이 끼익 삐걱 따위 와 같은 사람들 부류의 사람들 왜냐하면 중의하나 오직 오로지 에 한하다 하기만 하면 도착하다 까지 미치다 도달하다 정도에 이르다 할 지경이다 결과에 이르다 관해서는 여러분 하고 있다 한 후 혼자 자기 자기집 자신 우에 종합한것과같이 총적으로 보면 총적으로 말하면 총적으로 대로 하다 으로서 참 그만이다 할 따름이다 쿵 탕탕 쾅쾅 둥둥 봐 봐라 아이야 아니 와아 응 아이 참나 년 월 일 령 영 일 이 삼 사 오 육 륙 칠 팔 구 이천육 이천칠 이천팔 이천구 하나 둘 셋 넷 다섯 여섯 일곱 여덟 아홉 령 영".split(" ")),e.Pipeline.registerFunction(e.ko.stopWordFilter,"stopWordFilter-ko"),e.ko.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}(),e.Pipeline.registerFunction(e.ko.stemmer,"stemmer-ko")}}); -------------------------------------------------------------------------------- /docs/zAccel.md: -------------------------------------------------------------------------------- 1 | ## Leveraging the IBM Integrated Accelerator for AI 2 | 3 | The IBM Integrated Accelerator for AI is an on-chip AI accelerator available on the IBM Telum chip that is part of IBM z16 and LinuxONE 4 servers. It is designed to enable high throughput, low latency inference for deep learning and machine learning. 4 | 5 | With IBM z16 and the Integrated Accelerator for AI, you can build and train your models on any platform - including IBM zSystems and LinuxONE. When you are ready to deploy your assets, they will receive transparent acceleration and optimization on IBM zSystems, and will leverage the best available acceleration for the model type. 6 | 7 | The IBM Integrated Accelerator for AI is more than just a matrix multiply accelerator - it provides optimization and acceleration for a wide set of complex functions commonly found in deep learning and machine learning models. This enables a broader set of functions to be accelerated on the chip. 8 | 9 | The following operations are supported on the accelerator (by machine generation): 10 | 11 | | Operation | z16 or LinuxONE 4 (Telum I) | z17 (Telum II) | 12 | | --------------------- | :---------------------: | :---------------------: | 13 | | LSTM Activation | Supported | Supported | 14 | | GRU Activation | Supported | Supported | 15 | | Fused Matrix Multiply, Bias op | Supported | + added transpose, INT8 quantization | 16 | | Fused Matrix Multiply (w/ broadcast) | Supported | + added transpose, INT8 quantization | 17 | | Batch Normalization | Supported | Supported | 18 | | Fused Convolution, Bias Add, Relu | Supported | Supported | 19 | | L2 Norm | | Supported | 20 | | Layer Normalization | | Supported | 21 | | Max Pool 2D | Supported | Supported | 22 | | Average Pool 2D | Supported | Supported | 23 | | Softmax | Supported | Supported | 24 | | Relu | Supported | Supported | 25 | | Leaky Relu | | Supported | 26 | | Gelu | | Supported | 27 | | Tanh | Supported | Supported | 28 | | Sigmoid | Supported | Supported | 29 | | Add | Supported | Supported | 30 | | Subtract | Supported | Supported | 31 | | Multiply | Supported | Supported | 32 | | Divide | Supported | Supported | 33 | | Min | Supported | Supported | 34 | | Max | Supported | Supported | 35 | | Log | Supported | Supported | 36 | | Square root | | Supported | 37 | | Transform (Tensor) | | Supported | 38 | | Reduce | | Supported | 39 | 40 | 41 | These allow supporting frameworks to target a significantly larger set of operations to the Integrated Accelerator for AI. 42 | 43 | ### Using the Integrated Accelerator for AI 44 | 45 | ![IBM Z and LinuxONE Telum Integrated Accelerator for AI reference technologies ](z16aiusw.png) 46 | 47 | Depending on your model type, there are a few essential approaches to leveraging the Integrated Accelerator for AI. These capabilities are all available in various IBM product offerings as well as through no-cost channels (such as the IBM Z Container Image Repository). 48 | 49 | For deep learning models, such as those created in PyTorch or TensorFlow: 50 | 51 | - [**ONNX deep learning models**](onnxdlc.md), when compiled using the [IBM Z Deep Learning Compiler](https://github.com/ibm/zdlc) (onnx-mlir). 52 | - [**TensorFlow**](tensorflow.md) 53 | - [**PyTorch**](pytorch.md) 54 | 55 | For machine learning models, such as those created in sci-kit learn, XGBoost, or lightGBM: 56 | 57 | - [**IBM Snap ML**](snapml.md), a machine learning framework that provides optimized training and inference. 58 | 59 | For those interested in enhancing frameworks or compilers to use the Integrated Accelerator for AI: 60 | 61 | - [**IBM zDNN**](codingAIU.md) 62 | - This is the accelerator development library, which is intended for use by those interested in enhancing frameworks or compilers to use the accelerator. 63 | 64 | For further details, use the navigation bar on this page to select a 'Featured Frameworks and Technologies' choice. 65 | 66 | Each of these are available as standalone packages, free of charge, or embedded within IBM products such as Machine Learning for z/OS and Cloud Pak for Data. 67 | 68 | Further reading: 69 | 70 | - [IBM Telum announcement](https://www.ibm.com/blog/ibm-telum-processor-the-next-gen-microprocessor-for-ibm-z-and-ibm-linuxone/) 71 | -------------------------------------------------------------------------------- /site/assets/javascripts/lunr/min/lunr.sv.min.js: -------------------------------------------------------------------------------- 1 | /*! 2 | * Lunr languages, `Swedish` language 3 | * https://github.com/MihaiValentin/lunr-languages 4 | * 5 | * Copyright 2014, Mihai Valentin 6 | * http://www.mozilla.org/MPL/ 7 | */ 8 | /*! 9 | * based on 10 | * Snowball JavaScript Library v0.3 11 | * http://code.google.com/p/urim/ 12 | * http://snowball.tartarus.org/ 13 | * 14 | * Copyright 2010, Oleg Mazko 15 | * http://www.mozilla.org/MPL/ 16 | */ 17 | 18 | !function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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Overview: README.md 14 | - Updates and news: 15 | - blog/index.md 16 | - Leveraging the IBM Telum Integrated Accelerator for AI: zAccel.md 17 | - Featured Frameworks and Technologies: 18 | - ONNX and the IBM Deep Learning Compiler: onnxdlc.md 19 | - IBM Snap Machine Learning (Snap ML): snapml.md 20 | - TensorFlow and TensorFlow Serving: tensorflow.md 21 | - PyTorch: pytorch.md 22 | - Triton Inference Server: tritonis.md 23 | - 'Db2 13 SQL Data Insights': 'https://www.ibm.com/common/ssi/ShowDoc.wss?docURL=/common/ssi/rep_ca/1/897/ENUS222-061/index.html' 24 | - Python AI Toolkit for IBM z/OS: pyaitoolkit.md 25 | - AI Toolkit for IBM Z and LinuxONE: aitoolkitloz.md 26 | - Model conversion to ONNX or PMML: 27 | - ONNX model conversion: onnxconv.md 28 | - PMML model conversion: pmmlconv.md 29 | - Obtaining open-source packages: opensource.md 30 | - AI Solution Templates: solutiontemplates.md 31 | - Infusing AI into your IBM zSystem business applications: infusing.md 32 | - Terminology: terminology.md 33 | - Getting help: help.md 34 | - Reference Models: 35 | - 'Fraud Detection': 'https://github.com/IBM/ai-on-z-fraud-detection/' 36 | - Compiler and AI framework developer resources: codingAIU.md 37 | - Need access to a IBM Z or LinuxONE Environment?: resources.md 38 | - Samples and other resources: 39 | - 'Samples': 'https://github.com/IBM/ai-on-z-samples' 40 | - 'Additional container build files': 'https://github.com/IBM/ai-on-z-containers' 41 | - 'zDNN': 'https://github.com/IBM/zDNN' 42 | - External Content: 43 | - 'IBM Z and LinuxOne Content Solutions': 'https://www.ibm.com/support/z-content-solutions/journey-to-ai-on-z/' 44 | - 'IBM Z Xplore': 'https://ibmzxplore.influitive.com' 45 | - 'AI on IBM Z and LinuxONE Community': 'https://community.ibm.com/community/user/ibmz-and-linuxone/groups/topic-home?CommunityKey=038560b2-e962-4500-b0b5-e3745175a065' 46 | - 'IBM Z and LinuxONE Container Registry': 'https://ibm.github.io/ibm-z-oss-hub/main/main.html' 47 | 48 | 49 | 50 | ## DO NOT CHANGE BELOW THIS LINE 51 | 52 | # Copyright 53 | copyright: Copyright © 2020 IBM Developer 54 | 55 | # Theme 56 | theme: 57 | name: material 58 | font: 59 | text: IBM Plex Sans 60 | code: IBM Plex Mono 61 | icon: 62 | logo: material/library 63 | features: 64 | # - 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-------------------------------------------------------------------------------- /site/sitemap.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | https://ibm.github.io/ai-on-z-101/ 5 | 2025-04-08 6 | 7 | 8 | https://ibm.github.io/ai-on-z-101/aitoolkitloz/ 9 | 2025-04-08 10 | 11 | 12 | https://ibm.github.io/ai-on-z-101/codingAIU/ 13 | 2025-04-08 14 | 15 | 16 | https://ibm.github.io/ai-on-z-101/help/ 17 | 2025-04-08 18 | 19 | 20 | https://ibm.github.io/ai-on-z-101/infusing/ 21 | 2025-04-08 22 | 23 | 24 | https://ibm.github.io/ai-on-z-101/onnxconv/ 25 | 2025-04-08 26 | 27 | 28 | https://ibm.github.io/ai-on-z-101/onnxdlc/ 29 | 2025-04-08 30 | 31 | 32 | https://ibm.github.io/ai-on-z-101/opensource/ 33 | 2025-04-08 34 | 35 | 36 | https://ibm.github.io/ai-on-z-101/pmmlconv/ 37 | 2025-04-08 38 | 39 | 40 | https://ibm.github.io/ai-on-z-101/pyaitoolkit/ 41 | 2025-04-08 42 | 43 | 44 | https://ibm.github.io/ai-on-z-101/pytorch/ 45 | 2025-04-08 46 | 47 | 48 | https://ibm.github.io/ai-on-z-101/resources/ 49 | 2025-04-08 50 | 51 | 52 | https://ibm.github.io/ai-on-z-101/snapml/ 53 | 2025-04-08 54 | 55 | 56 | https://ibm.github.io/ai-on-z-101/solutiontemplates/ 57 | 2025-04-08 58 | 59 | 60 | https://ibm.github.io/ai-on-z-101/tensorflow/ 61 | 2025-04-08 62 | 63 | 64 | https://ibm.github.io/ai-on-z-101/terminology/ 65 | 2025-04-08 66 | 67 | 68 | https://ibm.github.io/ai-on-z-101/tritonis/ 69 | 2025-04-08 70 | 71 | 72 | https://ibm.github.io/ai-on-z-101/zAccel/ 73 | 2025-04-08 74 | 75 | 76 | https://ibm.github.io/ai-on-z-101/blog/ 77 | 2025-04-08 78 | 79 | 80 | https://ibm.github.io/ai-on-z-101/blog/2024/03/15/launch-of-ai-solution-templates-on-ibm-z--linuxone/ 81 | 2025-04-08 82 | 83 | 84 | https://ibm.github.io/ai-on-z-101/blog/2024/01/12/launch-of-ai-toolkit-for-ibm-z-and-linuxone/ 85 | 2025-04-08 86 | 87 | 88 | https://ibm.github.io/ai-on-z-101/blog/2024/06/20/new-linux-on-z-focused-redbook-asset/ 89 | 2025-04-08 90 | 91 | 92 | https://ibm.github.io/ai-on-z-101/blog/2024/11/22/updates-to-our-101-pages/ 93 | 2025-04-08 94 | 95 | 96 | https://ibm.github.io/ai-on-z-101/blog/2023/07/07/updates-to-our-101-pages/ 97 | 2025-04-08 98 | 99 | 100 | https://ibm.github.io/ai-on-z-101/blog/archive/2024/ 101 | 2025-04-08 102 | 103 | 104 | https://ibm.github.io/ai-on-z-101/blog/archive/2023/ 105 | 2025-04-08 106 | 107 | 108 | https://ibm.github.io/ai-on-z-101/blog/category/general/ 109 | 2025-04-08 110 | 111 | 112 | https://ibm.github.io/ai-on-z-101/blog/category/site-updates/ 113 | 2025-04-08 114 | 115 | 116 | https://ibm.github.io/ai-on-z-101/blog/category/documentation/ 117 | 2025-04-08 118 | 119 | -------------------------------------------------------------------------------- /site/assets/javascripts/lunr/min/lunr.no.min.js: -------------------------------------------------------------------------------- 1 | /*! 2 | * Lunr languages, `Norwegian` language 3 | * https://github.com/MihaiValentin/lunr-languages 4 | * 5 | * Copyright 2014, Mihai Valentin 6 | * http://www.mozilla.org/MPL/ 7 | */ 8 | /*! 9 | * based on 10 | * Snowball JavaScript Library v0.3 11 | * http://code.google.com/p/urim/ 12 | * http://snowball.tartarus.org/ 13 | * 14 | * Copyright 2010, Oleg Mazko 15 | * http://www.mozilla.org/MPL/ 16 | */ 17 | 18 | !function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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You can read more about it [here](https://onnx.ai/). 4 | 5 | ONNX establishes a streamlined path to take a project from playground to production. 6 | 7 | With ONNX, you can start a data science project using the frameworks and libraries of your choosing, including popular frameworks such as PyTorch and TensorFlow. The model can be developed and trained leveraging these frameworks on the training platform of your choice. Once the model is trained and ready to begin the deployment journey, you would [export or convert it to the ONNX format](onnxconv.md). 8 | 9 | Tools such as [Netron](https://netron.app/) allow inspection and exploration of an ONNX model. When it comes to running the model, there are various back-ends that can be used to test and serve ONNX models. This includes model compilers such as the IBM Z Deep Learning Compiler (zDLC), which is based on ONNX-MLIR. 10 | 11 | The [ONNX-MLIR project](https://onnx.ai/onnx-mlir/) provides compiler technology to transform a valid Open Neural Network Exchange (ONNX) graph into code that implements the graph with minimum runtime support. It implements the ONNX standard and is based on the underlying LLVM/MLIR compiler technology. 12 | 13 | The result of this compiler is a lightweight shared object library that has no dependencies on the framework or libraries that the model was developed and trained in. It can be used for inference from C++, Java or Python programs. 14 | 15 | ### IBM Telum Integrated Accelerator for AI ### 16 | 17 | IBM Research enhanced the IBM Z Deep Learning Compiler (zDLC) to target the IBM Integrated Accelerator for AI for a variety of ONNX primitives. This support has been contributed to ONNX-MLIR, which is the foundation for the IBM Deep Learning Compiler. ONNX-MLIR has been updated to support IBM z17's new Telum II processor. 18 | 19 | ### Getting Started with the IBM Z Deep Learning Compiler ### 20 | 21 | The best approach to getting started with ONNX models using the IBM Z Deep Learning Compiler will depend on the IBM Z or LinuxONE operating system on which you plan to use the inference program. 22 | 23 | **z/OS users** can either choose a Machine Learning for z/OS (MLz) based approach or leverage Linux on Z options; in either case, z/OS Container Extensions will be required to utilize the IBM Z Deep Learning Compiler. 24 | 25 | - **Machine Learning for z/OS**, which is a z/OS product that manages full model lifecycle and includes numerous features to improve performance for AI models and simplify deployment. 26 | - Enables you to upload your ONNX model then compile and deploy at the push of a button. 27 | - Supports server side mini-batching for ONNX/DLC model serving to get the best benefit out of the Integrated Accelerator for AI. 28 | - Infuse AI into z/OS applications either through native CICS, IMS, and Java native scoring services or through using model server REST endpoints. 29 | 30 | **Linux on Z, z/OS Container Extensions, and LinuxONE** users can leverage the Deep Learning Compiler directly to create model programs that can be incorporated into serving environments or applications directly. 31 | 32 | - Available through the [IBM Z and LinuxONE Container Registry](https://ibm.github.io/ibm-z-oss-hub/containers/zdlc.html) listed under **zDLC**. 33 | - IBM zDLC [official product page](https://ibm.github.io/zDLC/). 34 | - Command-line model compiler that produces a .so library with optional Java and Python wrappers. 35 | - These model libraries can be leveraged either directly or through Triton Inference Server, which is part of the AI Toolkit for IBM Z And LinuxONE. 36 | - [Leveraging DLC with Triton Inference Server on LoZ](https://github.com/IBM/onnxmlir-triton-backend) 37 | - Additional samples: 38 | - [Documentation and samples, including C++, Java, and Python clients](https://github.com/IBM/zDLC) 39 | 40 | 41 | Read our blogs on ONNX for more information: 42 | 43 | - [IBM Z and the Open Neural Network Exchange](https://www.ibm.com/blogs/systems/ibm-z-and-the-open-neural-network-exchange-onnx/) 44 | - [Leveraging ONNX models on IBM Z and LinuxONE](https://community.ibm.com/community/user/ibmz-and-linuxone/blogs/andrew-sica/2021/10/29/leveraging-onnx-models-on-ibm-z-and-linuxone) 45 | - [Announcing ONNX-MLIR/IBM Deep Learning Compiler for Linux on Z and LinuxONE](https://community.ibm.com/community/user/ibmz-and-linuxone/blogs/charles-volzka/2022/05/26/ibm-z-deep-learning-compiler-onnx-mlir) 46 | - [Announcing ONNX-MLIR/IBM Z Deep Learning Compiler Telum II support](https://community.ibm.com/community/user/blogs/sunny-anand/2025/06/10/ibm-z-deep-learning-compiler-500) -------------------------------------------------------------------------------- /site/assets/javascripts/lunr/min/lunr.he.min.js: -------------------------------------------------------------------------------- 1 | !function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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r=C.limit-C.cursor;C.find_among_b(g,3)&&(C.cursor=C.limit-r,C.ket=C.cursor,C.cursor>C.limit_backward&&(C.cursor--,C.bra=C.cursor,C.slice_del()))}function l(){var r;w=!1,C.ket=C.cursor,C.eq_s_b(1,"e")&&(C.bra=C.cursor,u()&&(r=C.limit-C.cursor,C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-r,C.slice_del(),w=!0,a())))}function m(){var r;u()&&(r=C.limit-C.cursor,C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-r,C.eq_s_b(3,"gem")||(C.cursor=C.limit-r,C.slice_del(),a())))}function f(){var r,e,i,n,o,t,s=C.limit-C.cursor;if(C.ket=C.cursor,r=C.find_among_b(h,5))switch(C.bra=C.cursor,r){case 1:u()&&C.slice_from("heid");break;case 2:m();break;case 3:u()&&C.out_grouping_b(j,97,232)&&C.slice_del()}if(C.cursor=C.limit-s,l(),C.cursor=C.limit-s,C.ket=C.cursor,C.eq_s_b(4,"heid")&&(C.bra=C.cursor,c()&&(e=C.limit-C.cursor,C.eq_s_b(1,"c")||(C.cursor=C.limit-e,C.slice_del(),C.ket=C.cursor,C.eq_s_b(2,"en")&&(C.bra=C.cursor,m())))),C.cursor=C.limit-s,C.ket=C.cursor,r=C.find_among_b(k,6))switch(C.bra=C.cursor,r){case 1:if(c()){if(C.slice_del(),i=C.limit-C.cursor,C.ket=C.cursor,C.eq_s_b(2,"ig")&&(C.bra=C.cursor,c()&&(n=C.limit-C.cursor,!C.eq_s_b(1,"e")))){C.cursor=C.limit-n,C.slice_del();break}C.cursor=C.limit-i,a()}break;case 2:c()&&(o=C.limit-C.cursor,C.eq_s_b(1,"e")||(C.cursor=C.limit-o,C.slice_del()));break;case 3:c()&&(C.slice_del(),l());break;case 4:c()&&C.slice_del();break;case 5:c()&&w&&C.slice_del()}C.cursor=C.limit-s,C.out_grouping_b(z,73,232)&&(t=C.limit-C.cursor,C.find_among_b(v,4)&&C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-t,C.ket=C.cursor,C.cursor>C.limit_backward&&(C.cursor--,C.bra=C.cursor,C.slice_del())))}var d,_,w,b=[new e("",-1,6),new e("á",0,1),new e("ä",0,1),new e("é",0,2),new e("ë",0,2),new e("í",0,3),new e("ï",0,3),new e("ó",0,4),new e("ö",0,4),new e("ú",0,5),new e("ü",0,5)],p=[new e("",-1,3),new e("I",0,2),new e("Y",0,1)],g=[new e("dd",-1,-1),new e("kk",-1,-1),new e("tt",-1,-1)],h=[new e("ene",-1,2),new e("se",-1,3),new e("en",-1,2),new e("heden",2,1),new e("s",-1,3)],k=[new e("end",-1,1),new e("ig",-1,2),new e("ing",-1,1),new e("lijk",-1,3),new e("baar",-1,4),new e("bar",-1,5)],v=[new e("aa",-1,-1),new e("ee",-1,-1),new e("oo",-1,-1),new e("uu",-1,-1)],q=[17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,128],z=[1,0,0,17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,128],j=[17,67,16,1,0,0,0,0,0,0,0,0,0,0,0,0,128],C=new i;this.setCurrent=function(r){C.setCurrent(r)},this.getCurrent=function(){return C.getCurrent()},this.stem=function(){var e=C.cursor;return r(),C.cursor=e,o(),C.limit_backward=e,C.cursor=C.limit,f(),C.cursor=C.limit_backward,s(),!0}};return function(r){return"function"==typeof r.update?r.update(function(r){return n.setCurrent(r),n.stem(),n.getCurrent()}):(n.setCurrent(r),n.stem(),n.getCurrent())}}(),r.Pipeline.registerFunction(r.nl.stemmer,"stemmer-nl"),r.nl.stopWordFilter=r.generateStopWordFilter(" aan al alles als altijd andere ben bij daar dan dat de der deze die dit doch doen door dus een eens en er ge geen geweest haar had heb hebben heeft hem het hier hij hoe hun iemand iets ik in is ja je kan kon kunnen maar me meer men met mij mijn moet na naar niet niets nog nu of om omdat onder ons ook op over reeds te tegen toch toen tot u uit uw van veel voor want waren was wat werd wezen wie wil worden wordt zal ze zelf zich zij zijn zo zonder zou".split(" ")),r.Pipeline.registerFunction(r.nl.stopWordFilter,"stopWordFilter-nl")}}); -------------------------------------------------------------------------------- /site/assets/javascripts/lunr/min/lunr.de.min.js: -------------------------------------------------------------------------------- 1 | /*! 2 | * Lunr languages, `German` language 3 | * https://github.com/MihaiValentin/lunr-languages 4 | * 5 | * Copyright 2014, Mihai Valentin 6 | * http://www.mozilla.org/MPL/ 7 | */ 8 | /*! 9 | * based on 10 | * Snowball JavaScript Library v0.3 11 | * http://code.google.com/p/urim/ 12 | * http://snowball.tartarus.org/ 13 | * 14 | * Copyright 2010, Oleg Mazko 15 | * http://www.mozilla.org/MPL/ 16 | */ 17 | 18 | !function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.de=function(){this.pipeline.reset(),this.pipeline.add(e.de.trimmer,e.de.stopWordFilter,e.de.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.de.stemmer))},e.de.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stＡ-Ｚａ-ｚ",e.de.trimmer=e.trimmerSupport.generateTrimmer(e.de.wordCharacters),e.Pipeline.registerFunction(e.de.trimmer,"trimmer-de"),e.de.stemmer=function(){var r=e.stemmerSupport.Among,n=e.stemmerSupport.SnowballProgram,i=new function(){function e(e,r,n){return!(!v.eq_s(1,e)||(v.ket=v.cursor,!v.in_grouping(p,97,252)))&&(v.slice_from(r),v.cursor=n,!0)}function i(){for(var r,n,i,s,t=v.cursor;;)if(r=v.cursor,v.bra=r,v.eq_s(1,"ß"))v.ket=v.cursor,v.slice_from("ss");else{if(r>=v.limit)break;v.cursor=r+1}for(v.cursor=t;;)for(n=v.cursor;;){if(i=v.cursor,v.in_grouping(p,97,252)){if(s=v.cursor,v.bra=s,e("u","U",i))break;if(v.cursor=s,e("y","Y",i))break}if(i>=v.limit)return void(v.cursor=n);v.cursor=i+1}}function s(){for(;!v.in_grouping(p,97,252);){if(v.cursor>=v.limit)return!0;v.cursor++}for(;!v.out_grouping(p,97,252);){if(v.cursor>=v.limit)return!0;v.cursor++}return!1}function t(){m=v.limit,l=m;var e=v.cursor+3;0<=e&&e<=v.limit&&(d=e,s()||(m=v.cursor,m=v.limit)return;v.cursor++}}}function c(){return m<=v.cursor}function u(){return l<=v.cursor}function a(){var e,r,n,i,s=v.limit-v.cursor;if(v.ket=v.cursor,(e=v.find_among_b(w,7))&&(v.bra=v.cursor,c()))switch(e){case 1:v.slice_del();break;case 2:v.slice_del(),v.ket=v.cursor,v.eq_s_b(1,"s")&&(v.bra=v.cursor,v.eq_s_b(3,"nis")&&v.slice_del());break;case 3:v.in_grouping_b(g,98,116)&&v.slice_del()}if(v.cursor=v.limit-s,v.ket=v.cursor,(e=v.find_among_b(f,4))&&(v.bra=v.cursor,c()))switch(e){case 1:v.slice_del();break;case 2:if(v.in_grouping_b(k,98,116)){var t=v.cursor-3;v.limit_backward<=t&&t<=v.limit&&(v.cursor=t,v.slice_del())}}if(v.cursor=v.limit-s,v.ket=v.cursor,(e=v.find_among_b(_,8))&&(v.bra=v.cursor,u()))switch(e){case 1:v.slice_del(),v.ket=v.cursor,v.eq_s_b(2,"ig")&&(v.bra=v.cursor,r=v.limit-v.cursor,v.eq_s_b(1,"e")||(v.cursor=v.limit-r,u()&&v.slice_del()));break;case 2:n=v.limit-v.cursor,v.eq_s_b(1,"e")||(v.cursor=v.limit-n,v.slice_del());break;case 3:if(v.slice_del(),v.ket=v.cursor,i=v.limit-v.cursor,!v.eq_s_b(2,"er")&&(v.cursor=v.limit-i,!v.eq_s_b(2,"en")))break;v.bra=v.cursor,c()&&v.slice_del();break;case 4:v.slice_del(),v.ket=v.cursor,e=v.find_among_b(b,2),e&&(v.bra=v.cursor,u()&&1==e&&v.slice_del())}}var d,l,m,h=[new r("",-1,6),new r("U",0,2),new r("Y",0,1),new r("ä",0,3),new r("ö",0,4),new r("ü",0,5)],w=[new r("e",-1,2),new r("em",-1,1),new r("en",-1,2),new r("ern",-1,1),new r("er",-1,1),new r("s",-1,3),new r("es",5,2)],f=[new r("en",-1,1),new r("er",-1,1),new r("st",-1,2),new r("est",2,1)],b=[new r("ig",-1,1),new r("lich",-1,1)],_=[new r("end",-1,1),new r("ig",-1,2),new r("ung",-1,1),new r("lich",-1,3),new r("isch",-1,2),new r("ik",-1,2),new r("heit",-1,3),new r("keit",-1,4)],p=[17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,8,0,32,8],g=[117,30,5],k=[117,30,4],v=new n;this.setCurrent=function(e){v.setCurrent(e)},this.getCurrent=function(){return v.getCurrent()},this.stem=function(){var e=v.cursor;return i(),v.cursor=e,t(),v.limit_backward=e,v.cursor=v.limit,a(),v.cursor=v.limit_backward,o(),!0}};return function(e){return"function"==typeof e.update?e.update(function(e){return i.setCurrent(e),i.stem(),i.getCurrent()}):(i.setCurrent(e),i.stem(),i.getCurrent())}}(),e.Pipeline.registerFunction(e.de.stemmer,"stemmer-de"),e.de.stopWordFilter=e.generateStopWordFilter("aber alle allem allen aller alles als also am an ander andere anderem anderen anderer anderes anderm andern anderr anders auch auf aus bei bin bis bist da damit dann das dasselbe dazu daß dein deine deinem deinen deiner deines dem demselben den denn denselben der derer derselbe derselben des desselben dessen dich die dies diese dieselbe dieselben diesem diesen dieser dieses dir doch dort du durch ein eine einem einen einer eines einig einige einigem einigen einiger einiges einmal er es etwas euch euer eure eurem euren eurer eures für gegen gewesen hab habe haben hat hatte hatten hier hin hinter ich ihm ihn ihnen ihr ihre ihrem ihren ihrer ihres im in indem ins ist jede jedem jeden jeder jedes jene jenem jenen jener jenes jetzt kann kein keine keinem keinen keiner keines können könnte machen man manche manchem manchen mancher manches mein meine meinem meinen meiner meines mich mir mit muss musste nach nicht nichts noch nun nur ob oder ohne sehr sein seine seinem seinen seiner seines selbst sich sie sind so solche solchem solchen solcher solches soll sollte sondern sonst um und uns unse unsem unsen unser unses unter viel vom von vor war waren warst was weg weil weiter welche welchem welchen welcher welches wenn werde werden wie wieder will wir wird wirst wo wollen wollte während würde würden zu zum zur zwar zwischen über".split(" ")),e.Pipeline.registerFunction(e.de.stopWordFilter,"stopWordFilter-de")}}); -------------------------------------------------------------------------------- /site/assets/javascripts/lunr/min/lunr.du.min.js: -------------------------------------------------------------------------------- 1 | /*! 2 | * Lunr languages, `Dutch` language 3 | * https://github.com/MihaiValentin/lunr-languages 4 | * 5 | * Copyright 2014, Mihai Valentin 6 | * http://www.mozilla.org/MPL/ 7 | */ 8 | /*! 9 | * based on 10 | * Snowball JavaScript Library v0.3 11 | * http://code.google.com/p/urim/ 12 | * http://snowball.tartarus.org/ 13 | * 14 | * Copyright 2010, Oleg Mazko 15 | * http://www.mozilla.org/MPL/ 16 | */ 17 | 18 | !function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");console.warn('[Lunr Languages] Please use the "nl" instead of the "du". The "nl" code is the standard code for Dutch language, and "du" will be removed in the next major versions.'),e.du=function(){this.pipeline.reset(),this.pipeline.add(e.du.trimmer,e.du.stopWordFilter,e.du.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.du.stemmer))},e.du.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stＡ-Ｚａ-ｚ",e.du.trimmer=e.trimmerSupport.generateTrimmer(e.du.wordCharacters),e.Pipeline.registerFunction(e.du.trimmer,"trimmer-du"),e.du.stemmer=function(){var r=e.stemmerSupport.Among,i=e.stemmerSupport.SnowballProgram,n=new function(){function e(){for(var e,r,i,o=C.cursor;;){if(C.bra=C.cursor,e=C.find_among(b,11))switch(C.ket=C.cursor,e){case 1:C.slice_from("a");continue;case 2:C.slice_from("e");continue;case 3:C.slice_from("i");continue;case 4:C.slice_from("o");continue;case 5:C.slice_from("u");continue;case 6:if(C.cursor>=C.limit)break;C.cursor++;continue}break}for(C.cursor=o,C.bra=o,C.eq_s(1,"y")?(C.ket=C.cursor,C.slice_from("Y")):C.cursor=o;;)if(r=C.cursor,C.in_grouping(q,97,232)){if(i=C.cursor,C.bra=i,C.eq_s(1,"i"))C.ket=C.cursor,C.in_grouping(q,97,232)&&(C.slice_from("I"),C.cursor=r);else if(C.cursor=i,C.eq_s(1,"y"))C.ket=C.cursor,C.slice_from("Y"),C.cursor=r;else if(n(r))break}else if(n(r))break}function n(e){return C.cursor=e,e>=C.limit||(C.cursor++,!1)}function o(){_=C.limit,f=_,t()||(_=C.cursor,_<3&&(_=3),t()||(f=C.cursor))}function t(){for(;!C.in_grouping(q,97,232);){if(C.cursor>=C.limit)return!0;C.cursor++}for(;!C.out_grouping(q,97,232);){if(C.cursor>=C.limit)return!0;C.cursor++}return!1}function s(){for(var e;;)if(C.bra=C.cursor,e=C.find_among(p,3))switch(C.ket=C.cursor,e){case 1:C.slice_from("y");break;case 2:C.slice_from("i");break;case 3:if(C.cursor>=C.limit)return;C.cursor++}}function u(){return _<=C.cursor}function c(){return f<=C.cursor}function a(){var e=C.limit-C.cursor;C.find_among_b(g,3)&&(C.cursor=C.limit-e,C.ket=C.cursor,C.cursor>C.limit_backward&&(C.cursor--,C.bra=C.cursor,C.slice_del()))}function l(){var e;w=!1,C.ket=C.cursor,C.eq_s_b(1,"e")&&(C.bra=C.cursor,u()&&(e=C.limit-C.cursor,C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-e,C.slice_del(),w=!0,a())))}function m(){var e;u()&&(e=C.limit-C.cursor,C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-e,C.eq_s_b(3,"gem")||(C.cursor=C.limit-e,C.slice_del(),a())))}function d(){var e,r,i,n,o,t,s=C.limit-C.cursor;if(C.ket=C.cursor,e=C.find_among_b(h,5))switch(C.bra=C.cursor,e){case 1:u()&&C.slice_from("heid");break;case 2:m();break;case 3:u()&&C.out_grouping_b(z,97,232)&&C.slice_del()}if(C.cursor=C.limit-s,l(),C.cursor=C.limit-s,C.ket=C.cursor,C.eq_s_b(4,"heid")&&(C.bra=C.cursor,c()&&(r=C.limit-C.cursor,C.eq_s_b(1,"c")||(C.cursor=C.limit-r,C.slice_del(),C.ket=C.cursor,C.eq_s_b(2,"en")&&(C.bra=C.cursor,m())))),C.cursor=C.limit-s,C.ket=C.cursor,e=C.find_among_b(k,6))switch(C.bra=C.cursor,e){case 1:if(c()){if(C.slice_del(),i=C.limit-C.cursor,C.ket=C.cursor,C.eq_s_b(2,"ig")&&(C.bra=C.cursor,c()&&(n=C.limit-C.cursor,!C.eq_s_b(1,"e")))){C.cursor=C.limit-n,C.slice_del();break}C.cursor=C.limit-i,a()}break;case 2:c()&&(o=C.limit-C.cursor,C.eq_s_b(1,"e")||(C.cursor=C.limit-o,C.slice_del()));break;case 3:c()&&(C.slice_del(),l());break;case 4:c()&&C.slice_del();break;case 5:c()&&w&&C.slice_del()}C.cursor=C.limit-s,C.out_grouping_b(j,73,232)&&(t=C.limit-C.cursor,C.find_among_b(v,4)&&C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-t,C.ket=C.cursor,C.cursor>C.limit_backward&&(C.cursor--,C.bra=C.cursor,C.slice_del())))}var f,_,w,b=[new 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null!==o&&(s=o[1]+l[o[2]]),null!==(o=/^(.+?)(ΑΔΕΣ|ΑΔΩΝ)$/.exec(s))&&(s=o[1],/(ΟΚ|ΜΑΜ|ΜΑΝ|ΜΠΑΜΠ|ΠΑΤΕΡ|ΓΙΑΓΙ|ΝΤΑΝΤ|ΚΥΡ|ΘΕΙ|ΠΕΘΕΡ|ΜΟΥΣΑΜ|ΚΑΠΛΑΜ|ΠΑΡ|ΨΑΡ|ΤΖΟΥΡ|ΤΑΜΠΟΥΡ|ΓΑΛΑΤ|ΦΑΦΛΑΤ)$/.test(o[1])||(s+="ΑΔ")),null!==(o=/^(.+?)(ΕΔΕΣ|ΕΔΩΝ)$/.exec(s))&&(s=o[1],/(ΟΠ|ΙΠ|ΕΜΠ|ΥΠ|ΓΗΠ|ΔΑΠ|ΚΡΑΣΠ|ΜΙΛ)$/.test(o[1])&&(s+="ΕΔ")),null!==(o=/^(.+?)(ΟΥΔΕΣ|ΟΥΔΩΝ)$/.exec(s))&&(s=o[1],/(ΑΡΚ|ΚΑΛΙΑΚ|ΠΕΤΑΛ|ΛΙΧ|ΠΛΕΞ|ΣΚ|Σ|ΦΛ|ΦΡ|ΒΕΛ|ΛΟΥΛ|ΧΝ|ΣΠ|ΤΡΑΓ|ΦΕ)$/.test(o[1])&&(s+="ΟΥΔ")),null!==(o=/^(.+?)(ΕΩΣ|ΕΩΝ|ΕΑΣ|ΕΑ)$/.exec(s))&&(s=o[1],/^(Θ|Δ|ΕΛ|ΓΑΛ|Ν|Π|ΙΔ|ΠΑΡ|ΣΤΕΡ|ΟΡΦ|ΑΝΔΡ|ΑΝΤΡ)$/.test(o[1])&&(s+="Ε")),null!==(o=/^(.+?)(ΕΙΟ|ΕΙΟΣ|ΕΙΟΙ|ΕΙΑ|ΕΙΑΣ|ΕΙΕΣ|ΕΙΟΥ|ΕΙΟΥΣ|ΕΙΩΝ)$/.exec(s))&&o[1].length>4&&(s=o[1]),null!==(o=/^(.+?)(ΙΟΥΣ|ΙΑΣ|ΙΕΣ|ΙΟΣ|ΙΟΥ|ΙΟΙ|ΙΩΝ|ΙΟΝ|ΙΑ|ΙΟ)$/.exec(s))&&(s=o[1],(t(s)||s.length<2||/^(ΑΓ|ΑΓΓΕΛ|ΑΓΡ|ΑΕΡ|ΑΘΛ|ΑΚΟΥΣ|ΑΞ|ΑΣ|Β|ΒΙΒΛ|ΒΥΤ|Γ|ΓΙΑΓ|ΓΩΝ|Δ|ΔΑΝ|ΔΗΛ|ΔΗΜ|ΔΟΚΙΜ|ΕΛ|ΖΑΧΑΡ|ΗΛ|ΗΠ|ΙΔ|ΙΣΚ|ΙΣΤ|ΙΟΝ|ΙΩΝ|ΚΙΜΩΛ|ΚΟΛΟΝ|ΚΟΡ|ΚΤΗΡ|ΚΥΡ|ΛΑΓ|ΛΟΓ|ΜΑΓ|ΜΠΑΝ|ΜΠΡ|ΝΑΥΤ|ΝΟΤ|ΟΠΑΛ|ΟΞ|ΟΡ|ΟΣ|ΠΑΝΑΓ|ΠΑΤΡ|ΠΗΛ|ΠΗΝ|ΠΛΑΙΣ|ΠΟΝΤ|ΡΑΔ|ΡΟΔ|ΣΚ|ΣΚΟΡΠ|ΣΟΥΝ|ΣΠΑΝ|ΣΤΑΔ|ΣΥΡ|ΤΗΛ|ΤΙΜ|ΤΟΚ|ΤΟΠ|ΤΡΟΧ|ΦΙΛ|ΦΩΤ|Χ|ΧΙΛ|ΧΡΩΜ|ΧΩΡ)$/.test(o[1]))&&(s+="Ι"),/^(ΠΑΛ)$/.test(o[1])&&(s+="ΑΙ")),null!==(o=/^(.+?)(ΙΚΟΣ|ΙΚΟΝ|ΙΚΕΙΣ|ΙΚΟΙ|ΙΚΕΣ|ΙΚΟΥΣ|ΙΚΗ|ΙΚΗΣ|ΙΚΟ|ΙΚΑ|ΙΚΟΥ|ΙΚΩΝ|ΙΚΩΣ)$/.exec(s))&&(s=o[1],(t(s)||/^(ΑΔ|ΑΛ|ΑΜΑΝ|ΑΜΕΡ|ΑΜΜΟΧΑΛ|ΑΝΗΘ|ΑΝΤΙΔ|ΑΠΛ|ΑΤΤ|ΑΦΡ|ΒΑΣ|ΒΡΩΜ|ΓΕΝ|ΓΕΡ|Δ|ΔΙΚΑΝ|ΔΥΤ|ΕΙΔ|ΕΝΔ|ΕΞΩΔ|ΗΘ|ΘΕΤ|ΚΑΛΛΙΝ|ΚΑΛΠ|ΚΑΤΑΔ|ΚΟΥΖΙΝ|ΚΡ|ΚΩΔ|ΛΟΓ|Μ|ΜΕΡ|ΜΟΝΑΔ|ΜΟΥΛ|ΜΟΥΣ|ΜΠΑΓΙΑΤ|ΜΠΑΝ|ΜΠΟΛ|ΜΠΟΣ|ΜΥΣΤ|Ν|ΝΙΤ|ΞΙΚ|ΟΠΤ|ΠΑΝ|ΠΕΤΣ|ΠΙΚΑΝΤ|ΠΙΤΣ|ΠΛΑΣΤ|ΠΛΙΑΤΣ|ΠΟΝΤ|ΠΟΣΤΕΛΝ|ΠΡΩΤΟΔ|ΣΕΡΤ|ΣΗΜΑΝΤ|ΣΤΑΤ|ΣΥΝΑΔ|ΣΥΝΟΜΗΛ|ΤΕΛ|ΤΕΧΝ|ΤΡΟΠ|ΤΣΑΜ|ΥΠΟΔ|Φ|ΦΙΛΟΝ|ΦΥΛΟΔ|ΦΥΣ|ΧΑΣ)$/.test(o[1])||/(ΦΟΙΝ)$/.test(o[1]))&&(s+="ΙΚ")),"ΑΓΑΜΕ"===s&&(s="ΑΓΑΜ"),null!==(o=/^(.+?)(ΑΓΑΜΕ|ΗΣΑΜΕ|ΟΥΣΑΜΕ|ΗΚΑΜΕ|ΗΘΗΚΑΜΕ)$/.exec(s))&&(s=o[1]),null!==(o=/^(.+?)(ΑΜΕ)$/.exec(s))&&(s=o[1],/^(ΑΝΑΠ|ΑΠΟΘ|ΑΠΟΚ|ΑΠΟΣΤ|ΒΟΥΒ|ΞΕΘ|ΟΥΛ|ΠΕΘ|ΠΙΚΡ|ΠΟΤ|ΣΙΧ|Χ)$/.test(o[1])&&(s+="ΑΜ")),null!==(o=/^(.+?)(ΑΓΑΝΕ|ΗΣΑΝΕ|ΟΥΣΑΝΕ|ΙΟΝΤΑΝΕ|ΙΟΤΑΝΕ|ΙΟΥΝΤΑΝΕ|ΟΝΤΑΝΕ|ΟΤΑΝΕ|ΟΥΝΤΑΝΕ|ΗΚΑΝΕ|ΗΘΗΚΑΝΕ)$/.exec(s))&&(s=o[1],/^(ΤΡ|ΤΣ)$/.test(o[1])&&(s+="ΑΓΑΝ")),null!==(o=/^(.+?)(ΑΝΕ)$/.exec(s))&&(s=o[1],(r(s)||/^(ΒΕΤΕΡ|ΒΟΥΛΚ|ΒΡΑΧΜ|Γ|ΔΡΑΔΟΥΜ|Θ|ΚΑΛΠΟΥΖ|ΚΑΣΤΕΛ|ΚΟΡΜΟΡ|ΛΑΟΠΛ|ΜΩΑΜΕΘ|Μ|ΜΟΥΣΟΥΛΜΑΝ|ΟΥΛ|Π|ΠΕΛΕΚ|ΠΛ|ΠΟΛΙΣ|ΠΟΡΤΟΛ|ΣΑΡΑΚΑΤΣ|ΣΟΥΛΤ|ΤΣΑΡΛΑΤ|ΟΡΦ|ΤΣΙΓΓ|ΤΣΟΠ|ΦΩΤΟΣΤΕΦ|Χ|ΨΥΧΟΠΛ|ΑΓ|ΟΡΦ|ΓΑΛ|ΓΕΡ|ΔΕΚ|ΔΙΠΛ|ΑΜΕΡΙΚΑΝ|ΟΥΡ|ΠΙΘ|ΠΟΥΡΙΤ|Σ|ΖΩΝΤ|ΙΚ|ΚΑΣΤ|ΚΟΠ|ΛΙΧ|ΛΟΥΘΗΡ|ΜΑΙΝΤ|ΜΕΛ|ΣΙΓ|ΣΠ|ΣΤΕΓ|ΤΡΑΓ|ΤΣΑΓ|Φ|ΕΡ|ΑΔΑΠ|ΑΘΙΓΓ|ΑΜΗΧ|ΑΝΙΚ|ΑΝΟΡΓ|ΑΠΗΓ|ΑΠΙΘ|ΑΤΣΙΓΓ|ΒΑΣ|ΒΑΣΚ|ΒΑΘΥΓΑΛ|ΒΙΟΜΗΧ|ΒΡΑΧΥΚ|ΔΙΑΤ|ΔΙΑΦ|ΕΝΟΡΓ|ΘΥΣ|ΚΑΠΝΟΒΙΟΜΗΧ|ΚΑΤΑΓΑΛ|ΚΛΙΒ|ΚΟΙΛΑΡΦ|ΛΙΒ|ΜΕΓΛΟΒΙΟΜΗΧ|ΜΙΚΡΟΒΙΟΜΗΧ|ΝΤΑΒ|ΞΗΡΟΚΛΙΒ|ΟΛΙΓΟΔΑΜ|ΟΛΟΓΑΛ|ΠΕΝΤΑΡΦ|ΠΕΡΗΦ|ΠΕΡΙΤΡ|ΠΛΑΤ|ΠΟΛΥΔΑΠ|ΠΟΛΥΜΗΧ|ΣΤΕΦ|ΤΑΒ|ΤΕΤ|ΥΠΕΡΗΦ|ΥΠΟΚΟΠ|ΧΑΜΗΛΟΔΑΠ|ΨΗΛΟΤΑΒ)$/.test(o[1]))&&(s+="ΑΝ")),null!==(o=/^(.+?)(ΗΣΕΤΕ)$/.exec(s))&&(s=o[1]),null!==(o=/^(.+?)(ΕΤΕ)$/.exec(s))&&(s=o[1],(r(s)||/(ΟΔ|ΑΙΡ|ΦΟΡ|ΤΑΘ|ΔΙΑΘ|ΣΧ|ΕΝΔ|ΕΥΡ|ΤΙΘ|ΥΠΕΡΘ|ΡΑΘ|ΕΝΘ|ΡΟΘ|ΣΘ|ΠΥΡ|ΑΙΝ|ΣΥΝΔ|ΣΥΝ|ΣΥΝΘ|ΧΩΡ|ΠΟΝ|ΒΡ|ΚΑΘ|ΕΥΘ|ΕΚΘ|ΝΕΤ|ΡΟΝ|ΑΡΚ|ΒΑΡ|ΒΟΛ|ΩΦΕΛ)$/.test(o[1])||/^(ΑΒΑΡ|ΒΕΝ|ΕΝΑΡ|ΑΒΡ|ΑΔ|ΑΘ|ΑΝ|ΑΠΛ|ΒΑΡΟΝ|ΝΤΡ|ΣΚ|ΚΟΠ|ΜΠΟΡ|ΝΙΦ|ΠΑΓ|ΠΑΡΑΚΑΛ|ΣΕΡΠ|ΣΚΕΛ|ΣΥΡΦ|ΤΟΚ|Υ|Δ|ΕΜ|ΘΑΡΡ|Θ)$/.test(o[1]))&&(s+="ΕΤ")),null!==(o=/^(.+?)(ΟΝΤΑΣ|ΩΝΤΑΣ)$/.exec(s))&&(s=o[1],/^ΑΡΧ$/.test(o[1])&&(s+="ΟΝΤ"),/ΚΡΕ$/.test(o[1])&&(s+="ΩΝΤ")),null!==(o=/^(.+?)(ΟΜΑΣΤΕ|ΙΟΜΑΣΤΕ)$/.exec(s))&&(s=o[1],/^ΟΝ$/.test(o[1])&&(s+="ΟΜΑΣΤ")),null!==(o=/^(.+?)(ΙΕΣΤΕ)$/.exec(s))&&(s=o[1],/^(Π|ΑΠ|ΣΥΜΠ|ΑΣΥΜΠ|ΑΚΑΤΑΠ|ΑΜΕΤΑΜΦ)$/.test(o[1])&&(s+="ΙΕΣΤ")),null!==(o=/^(.+?)(ΕΣΤΕ)$/.exec(s))&&(s=o[1],/^(ΑΛ|ΑΡ|ΕΚΤΕΛ|Ζ|Μ|Ξ|ΠΑΡΑΚΑΛ|ΠΡΟ|ΝΙΣ)$/.test(o[1])&&(s+="ΕΣΤ")),null!==(o=/^(.+?)(ΗΘΗΚΑ|ΗΘΗΚΕΣ|ΗΘΗΚΕ)$/.exec(s))&&(s=o[1]),null!==(o=/^(.+?)(ΗΚΑ|ΗΚΕΣ|ΗΚΕ)$/.exec(s))&&(s=o[1],(/(ΣΚΩΛ|ΣΚΟΥΛ|ΝΑΡΘ|ΣΦ|ΟΘ|ΠΙΘ)$/.test(o[1])||/^(ΔΙΑΘ|Θ|ΠΑΡΑΚΑΤΑΘ|ΠΡΟΣΘ|ΣΥΝΘ)$/.test(o[1]))&&(s+="ΗΚ")),null!==(o=/^(.+?)(ΟΥΣΑ|ΟΥΣΕΣ|ΟΥΣΕ)$/.exec(s))&&(s=o[1],(t(s)||/^(ΦΑΡΜΑΚ|ΧΑΔ|ΑΓΚ|ΑΝΑΡΡ|ΒΡΟΜ|ΕΚΛΙΠ|ΛΑΜΠΙΔ|ΛΕΧ|Μ|ΠΑΤ|Ρ|Λ|ΜΕΔ|ΜΕΣΑΖ|ΥΠΟΤΕΙΝ|ΑΜ|ΑΙΘ|ΑΝΗΚ|ΔΕΣΠΟΖ|ΕΝΔΙΑΦΕΡ)$/.test(o[1])||/(ΠΟΔΑΡ|ΒΛΕΠ|ΠΑΝΤΑΧ|ΦΡΥΔ|ΜΑΝΤΙΛ|ΜΑΛΛ|ΚΥΜΑΤ|ΛΑΧ|ΛΗΓ|ΦΑΓ|ΟΜ|ΠΡΩΤ)$/.test(o[1]))&&(s+="ΟΥΣ")),null!==(o=/^(.+?)(ΑΓΑ|ΑΓΕΣ|ΑΓΕ)$/.exec(s))&&(s=o[1],(/^(ΑΒΑΣΤ|ΠΟΛΥΦ|ΑΔΗΦ|ΠΑΜΦ|Ρ|ΑΣΠ|ΑΦ|ΑΜΑΛ|ΑΜΑΛΛΙ|ΑΝΥΣΤ|ΑΠΕΡ|ΑΣΠΑΡ|ΑΧΑΡ|ΔΕΡΒΕΝ|ΔΡΟΣΟΠ|ΞΕΦ|ΝΕΟΠ|ΝΟΜΟΤ|ΟΛΟΠ|ΟΜΟΤ|ΠΡΟΣΤ|ΠΡΟΣΩΠΟΠ|ΣΥΜΠ|ΣΥΝΤ|Τ|ΥΠΟΤ|ΧΑΡ|ΑΕΙΠ|ΑΙΜΟΣΤ|ΑΝΥΠ|ΑΠΟΤ|ΑΡΤΙΠ|ΔΙΑΤ|ΕΝ|ΕΠΙΤ|ΚΡΟΚΑΛΟΠ|ΣΙΔΗΡΟΠ|Λ|ΝΑΥ|ΟΥΛΑΜ|ΟΥΡ|Π|ΤΡ|Μ)$/.test(o[1])||/(ΟΦ|ΠΕΛ|ΧΟΡΤ|ΛΛ|ΣΦ|ΡΠ|ΦΡ|ΠΡ|ΛΟΧ|ΣΜΗΝ)$/.test(o[1])&&!/^(ΨΟΦ|ΝΑΥΛΟΧ)$/.test(o[1])||/(ΚΟΛΛ)$/.test(o[1]))&&(s+="ΑΓ")),null!==(o=/^(.+?)(ΗΣΕ|ΗΣΟΥ|ΗΣΑ)$/.exec(s))&&(s=o[1],/^(Ν|ΧΕΡΣΟΝ|ΔΩΔΕΚΑΝ|ΕΡΗΜΟΝ|ΜΕΓΑΛΟΝ|ΕΠΤΑΝ|Ι)$/.test(o[1])&&(s+="ΗΣ")),null!==(o=/^(.+?)(ΗΣΤΕ)$/.exec(s))&&(s=o[1],/^(ΑΣΒ|ΣΒ|ΑΧΡ|ΧΡ|ΑΠΛ|ΑΕΙΜΝ|ΔΥΣΧΡ|ΕΥΧΡ|ΚΟΙΝΟΧΡ|ΠΑΛΙΜΨ)$/.test(o[1])&&(s+="ΗΣΤ")),null!==(o=/^(.+?)(ΟΥΝΕ|ΗΣΟΥΝΕ|ΗΘΟΥΝΕ)$/.exec(s))&&(s=o[1],/^(Ν|Ρ|ΣΠΙ|ΣΤΡΑΒΟΜΟΥΤΣ|ΚΑΚΟΜΟΥΤΣ|ΕΞΩΝ)$/.test(o[1])&&(s+="ΟΥΝ")),null!==(o=/^(.+?)(ΟΥΜΕ|ΗΣΟΥΜΕ|ΗΘΟΥΜΕ)$/.exec(s))&&(s=o[1],/^(ΠΑΡΑΣΟΥΣ|Φ|Χ|ΩΡΙΟΠΛ|ΑΖ|ΑΛΛΟΣΟΥΣ|ΑΣΟΥΣ)$/.test(o[1])&&(s+="ΟΥΜ")),null!=(o=/^(.+?)(ΜΑΤΟΙ|ΜΑΤΟΥΣ|ΜΑΤΟ|ΜΑΤΑ|ΜΑΤΩΣ|ΜΑΤΩΝ|ΜΑΤΟΣ|ΜΑΤΕΣ|ΜΑΤΗ|ΜΑΤΗΣ|ΜΑΤΟΥ)$/.exec(s))&&(s=o[1]+"Μ",/^(ΓΡΑΜ)$/.test(o[1])?s+="Α":/^(ΓΕ|ΣΤΑ)$/.test(o[1])&&(s+="ΑΤ")),null!==(o=/^(.+?)(ΟΥΑ)$/.exec(s))&&(s=o[1]+"ΟΥ"),n.length===s.length&&null!==(o=/^(.+?)(Α|ΑΓΑΤΕ|ΑΓΑΝ|ΑΕΙ|ΑΜΑΙ|ΑΝ|ΑΣ|ΑΣΑΙ|ΑΤΑΙ|ΑΩ|Ε|ΕΙ|ΕΙΣ|ΕΙΤΕ|ΕΣΑΙ|ΕΣ|ΕΤΑΙ|Ι|ΙΕΜΑΙ|ΙΕΜΑΣΤΕ|ΙΕΤΑΙ|ΙΕΣΑΙ|ΙΕΣΑΣΤΕ|ΙΟΜΑΣΤΑΝ|ΙΟΜΟΥΝ|ΙΟΜΟΥΝΑ|ΙΟΝΤΑΝ|ΙΟΝΤΟΥΣΑΝ|ΙΟΣΑΣΤΑΝ|ΙΟΣΑΣΤΕ|ΙΟΣΟΥΝ|ΙΟΣΟΥΝΑ|ΙΟΤΑΝ|ΙΟΥΜΑ|ΙΟΥΜΑΣΤΕ|ΙΟΥΝΤΑΙ|ΙΟΥΝΤΑΝ|Η|ΗΔΕΣ|ΗΔΩΝ|ΗΘΕΙ|ΗΘΕΙΣ|ΗΘΕΙΤΕ|ΗΘΗΚΑΤΕ|ΗΘΗΚΑΝ|ΗΘΟΥΝ|ΗΘΩ|ΗΚΑΤΕ|ΗΚΑΝ|ΗΣ|ΗΣΑΝ|ΗΣΑΤΕ|ΗΣΕΙ|ΗΣΕΣ|ΗΣΟΥΝ|ΗΣΩ|Ο|ΟΙ|ΟΜΑΙ|ΟΜΑΣΤΑΝ|ΟΜΟΥΝ|ΟΜΟΥΝΑ|ΟΝΤΑΙ|ΟΝΤΑΝ|ΟΝΤΟΥΣΑΝ|ΟΣ|ΟΣΑΣΤΑΝ|ΟΣΑΣΤΕ|ΟΣΟΥΝ|ΟΣΟΥΝΑ|ΟΤΑΝ|ΟΥ|ΟΥΜΑΙ|ΟΥΜΑΣΤΕ|ΟΥΝ|ΟΥΝΤΑΙ|ΟΥΝΤΑΝ|ΟΥΣ|ΟΥΣΑΝ|ΟΥΣΑΤΕ|Υ||ΥΑ|ΥΣ|Ω|ΩΝ|ΟΙΣ)$/.exec(s))&&(s=o[1]),null!=(o=/^(.+?)(ΕΣΤΕΡ|ΕΣΤΑΤ|ΟΤΕΡ|ΟΤΑΤ|ΥΤΕΡ|ΥΤΑΤ|ΩΤΕΡ|ΩΤΑΤ)$/.exec(s))&&(/^(ΕΞ|ΕΣ|ΑΝ|ΚΑΤ|Κ|ΠΡ)$/.test(o[1])||(s=o[1]),/^(ΚΑ|Μ|ΕΛΕ|ΛΕ|ΔΕ)$/.test(o[1])&&(s+="ΥΤ")),s}var 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sarò se sei si sia siamo siano siate siete sono sta stai stando stanno starai staranno starebbe starebbero starei staremmo staremo stareste staresti starete starà starò stava stavamo stavano stavate stavi stavo stemmo stesse stessero stessi stessimo steste stesti stette stettero stetti stia stiamo stiano stiate sto su sua sue sugl sugli sui sul sull sulla sulle sullo suo suoi ti tra tu tua tue tuo tuoi tutti tutto un una uno vi voi vostra vostre vostri vostro è".split(" ")),e.Pipeline.registerFunction(e.it.stopWordFilter,"stopWordFilter-it")}}); -------------------------------------------------------------------------------- /site/assets/javascripts/lunr/min/lunr.es.min.js: -------------------------------------------------------------------------------- 1 | /*! 2 | * Lunr languages, `Spanish` language 3 | * https://github.com/MihaiValentin/lunr-languages 4 | * 5 | * Copyright 2014, Mihai Valentin 6 | * http://www.mozilla.org/MPL/ 7 | */ 8 | /*! 9 | * based on 10 | * Snowball JavaScript Library v0.3 11 | * http://code.google.com/p/urim/ 12 | * http://snowball.tartarus.org/ 13 | * 14 | * Copyright 2010, Oleg Mazko 15 | * http://www.mozilla.org/MPL/ 16 | */ 17 | 18 | !function(e,s){"function"==typeof define&&define.amd?define(s):"object"==typeof exports?module.exports=s():s()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. 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