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gaomar/node-red-contrib-enocean-telegram-decoder
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EnOceanのUSBドングルから受信したデータを見やすくデコードするノードです。 ## 対象USBドングル [EnOcean USB400J 受信用USBモジュール](https://www.amazon.co.jp/dp/B0107UUUGG) ## インストール ```shell npm i node-red-contrib-enocean-telegram-decoder ``` ## 利用イメージ ### enocean-decorder serial inノードで受信したデータを見やすくデコードします。 Data1を使って判定処理を行ってください。 ```json { "Time": "時刻", "OriginatorID": "xxxxxxxx", "EEP": "1BS", "Data1": "00", "Data4": "00000000", "SubTelNum": [ 1 ], "dBm": [ 41 ] } ``` ## LINK * [NodeRED](https://flows.nodered.org/node/node-red-contrib-enocean-telegram-decoder) * [Libraries.io](https://libraries.io/npm/node-red-contrib-enocean-telegram-decoder) * [npm](https://www.npmjs.com/package/node-red-contrib-enocean-telegram-decoder) ## release * 2020/10/16: 初回リリース
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--- title: Metachroma date: 2017-11-26 author: [email protected] (Adam White) description: TV Freaks members release Pneumatic Tube EP. 1971 say goodbye. C.R. Gillespie of Greys' new record. Music from Josh Mover & The Shakers, BBQT, Single Mothers, Seth Anderson. --- Last week Nathan Burger and David O'Connor, the drummer and lead vocalist of Hamilton, Ontario's [TV Freaks](https://teeveefreakzz.bandcamp.com/) unveiled a new band and EP with little warning. Welcome to [Pneumatic Tube](https://pneumatictube.bandcamp.com/) and their six-song, sub-nine-minute EP of weirdo scuzz punk. I've always been fascinated how albums, and even entire bands, sometimes emerge from the ether unexpectedly so I reached out to Burger for some details. The new project emerged from the root cause of all good punk music: boredom. > Honestly, man, Dave and I got together one night because we were bored and decided to rifle off as many songs as we could in a few hours. First, we thought of a handful of drum beats and laid those down and slowly built the songs around that. We both play drums bass and guitar. <iframe style="border: 0; width: 350px; height: 470px;" src="https://bandcamp.com/EmbeddedPlayer/album=2424768229/size=large/bgcol=ffffff/linkcol=0687f5/tracklist=false/transparent=true/" seamless><a href="http://pneumatictube.bandcamp.com/album/pneumatic-tube">Pneumatic Tube by Pneumatic Tube</a></iframe> [Listen: Pneumatic Tube @ Bandcamp](https://pneumatictube.bandcamp.com/album/pneumatic-tube "#") Pneumatic Tube's of course not the only outlet for the TV Freaks members. It joins the ensemble [Sweet Dave and the Shallow Graves](https://sweetdave.bandcamp.com/), who released and toured behind *Mental Jails* earlier in the year. Three-quarters of TV Freaks and vocalist Angie Lanza have been performing as [Uncontrollable Urge](https://theeuncontrollableurge.bandcamp.com/) at shows around Southern Ontario. That group just finished recording their debut record, which we should hear something from soon. Freaks bassist Kevin Bell also recently released a solo set under the name [Glittering Prizes](https://glitteringprizesband.bandcamp.com/). Like everything from this family, it's short, fast, loud and a little off-kilter. <iframe style="border: 0; width: 700px; max-width: 100%; height: 120px;" src="https://bandcamp.com/EmbeddedPlayer/album=3028539184/size=large/bgcol=ffffff/linkcol=0687f5/tracklist=false/artwork=small/transparent=true/" seamless><a href="http://glitteringprizesband.bandcamp.com/album/glittering-prizes-ep">Glittering Prizes EP by Glittering Prizes</a></iframe> [Listen: Glittering Prizes @ Bandcamp](https://glitteringprizesband.bandcamp.com/ "#") Side-projects aside, TV Freaks proper are hard at work on a new record. The band's currently writing for the follow up to 2015's [Deranged](http://www.derangedrecords.com/)-released *Bad Luck Charms*, which saw the group produced by Dallas Good of [The Sadies](http://www.thesadies.net/) and mixed by Don Pyle of [Shadowy Men on a Shadowy Planet](https://shadowy.brainiac.com/). The band should have some new stuff together for December, which will see them both open one of those big ticket Alexisonfire reunion gigs then burn down 2017 at [This Ain't Hollywood](https://www.facebook.com/events/125834558086235/) for a New Years gig with Daniel Romano's Ancient Shapes and Ian Kehoe. ##Of Note Winnipeg post-punk band [1971](https://1971canada.bandcamp.com/) have released a video for the song "Anxiety (In the Depths of Northwestern Ontario)," which will stand as one of the band's final recordings. The group decided to part ways in the wake of the death of their founding member and bassist [Cameron Glen Cranston](http://yourlifemoments.ca/sitepages/obituary.asp?oid=1005368). He passed away unexpectedly earlier this year in Thunder Bay at the age of 25. The band commented on the track: >We as a band decided to not continue without our brother. Now we’re releasing our last existing recordings with Cameron; two demos we recorded for a grant we received and one of his songs. > >The first track “Anxiety (In the Depths of Northwestern Ontario)” was written for Cam in 2016 during a really difficult period while Cam was still around. We’re glad we have “his” song, even though it’s hard to listen to sometimes. "Anxiety" was recorded and Mixed by J Riley Hill of [Mortfell Recording](http://mortfell.ca/). These final three songs will be released through the [Art of the Uncarved Block](https://www.artoftheuncarvedblock.com/) label on December 1. The EP will be titled *No Matter Where You Go, There You Are.* The label's planning to release it as a double cassette which will include the band's entire discography (they last released an EP in 2016 titled *Burning Bridges Before They're Crossed*). 1971 had been active since 2011. <iframe width="560" height="315" src="https://www.youtube.com/embed/Z60JbKRCG18?rel=0&amp;showinfo=0" frameborder="0" gesture="media" allowfullscreen></iframe> [Watch: 1971 - "Anxiety (In the Depths of Northwestern Ontario)" @ YouTube](https://www.youtube.com/watch?v=Z60JbKRCG18 "#") Colin Gillespie, the bassist of the Toronto noise-punk band [Greys](https://greys.bandcamp.com/), has released a new full length as [C.R. Gillespie](https://crgillespie.bandcamp.com/) titled *Séance Works*. The album's a set of nine experimental ambient soundscapes which become quite haunting and beautiful as they unfold (the final song on the record clocks in at a weighty 20 minutes as well). A high-bias cassette release of the album, individually hand numbered and limited to 50, is available through the [Heretical Objects Cooperative](http://www.hereticalobjects.com/). While I can certainly get into this type of thing, it's not quite a style I'm familiar enough to describe, so let's default back to the press release: >Delving further into their non-verbal tendencies, C.R. Gillespie has crafted a new makeshift-ambient effort, "Séance Works". Inspired by the actively mesmerizing synth-work of Suzanne Ciani, the spacious intimacy of Gigi Masin, and the valued stillness of Brian Eno, his environment-as-instrument ethos demonstrates a surrealistic collapse of space, forming the pulse upon which melody expires like vapour. A fascination with the fragility of the recorded sound; a study in genesis, sustain and decay in modern technology. As they're between records I've not had much to say yet about Greys in the lifespan of this newsletter, but they're one of my favourite rock bands in the country. Their last album, 2016's *Outer Heaven*, was accompanied a half year later by a companion set of tape-drones, repurposed audio, and assorted outtake oddities titled *Warm Shadow*. Knowing that *Séance Works* could result from a member of that family gives *Warm Shadow*'s atmospherics a little more context. It really makes you wonder what weird and wonderful directions Greys could go with their sound whenever they return. <iframe style="border: 0; width: 350px; height: 470px;" src="https://bandcamp.com/EmbeddedPlayer/album=2984399029/size=large/bgcol=ffffff/linkcol=0687f5/tracklist=false/transparent=true/" seamless><a href="http://hereticalobjects.bandcamp.com/album/seance-works">Seance Works by C. R. Gillespie</a></iframe> [Listen: C.R. Gillespie - *Séance Works* @ Bandcamp](https://hereticalobjects.bandcamp.com/album/seance-works "#") Toronto indie-pop act [Josh Mover & The Shakers](https://joshmoverandtheshakers.bandcamp.com/) have released a chill new single titled "Into a Ghost." The dark little tune was recorded at Union Sound Company by Ian Gomes (Teenanger, Odonis Odonis) and features Mover backed by Dilly Dally drummer Benjamin Reinhartz, Will Hunter and Joseph Landau of [Formalists](https://formalists.bandcamp.com/) on keys and lead guitar respectively, Mat Wronski of [The Sulks](https://thesulks.bandcamp.com/) on bass, and backing vocals from Clara Klein. The track will appear on an EP of the same name sometime soon. A video for the single was shot on Toronto Island by [Pedja Milosavljević](http://balkanada.com/), which you can check out below. The band will perform in Ottawa at House Of Targ on the 30th of November with [The Holy Gasp](https://theholygasp.bandcamp.com) and [Riishi Von Rex](https://www.facebook.com/VonRex). <iframe width="560" height="315" src="https://www.youtube.com/embed/8DZQgHbB6Hs?rel=0&amp;showinfo=0" frameborder="0" gesture="media" allowfullscreen></iframe> [Watch: Josh Mover & The Shakers - "Into a Ghost" @ YouTube](https://www.youtube.com/watch?v=8DZQgHbB6Hs "#") Speaking of [Dilly Dally](https://dillydally.bandcamp.com/), the grungy Toronto's quartet is up to, well, *something*. The band's Instagram feed has them located in Los Angeles and working in a recording studio, which quite likely means they're finally at work on the follow up to 2015's *Sore*, the band's debut LP for [Buzz Records](http://buzzrecords.ca/) and one of my favourite releases that year. I have no confirmation one way or another on what they're actually up to though. Perhaps I'd have more details if someone from their orbit responded to my inquiries. Not that I'm (*cough*) sore about it. Stay tuned. Last month St. John's, Newfoundland power-pop band [BBQT](https://bbqtband.bandcamp.com) released a video for their minute-long song "Too Late" from their EP *All Dressed*, which the four-piece released this summer during the [Ottawa Explosion Weekend](http://www.ottawaexplosion.com). It features footage of the band playing a house show in their home province. <iframe width="560" height="315" src="https://www.youtube.com/embed/qTP-knhefUQ?rel=0&amp;showinfo=0" frameborder="0" gesture="media" allowfullscreen></iframe> [Watch: BBQT - "Too Late" @ YouTube](https://www.youtube.com/watch?v=qTP-knhefUQ "#") London, Ontario punk band [Single Mothers](https://singlemothersband.bandcamp.com/) recently took part in an Audiotree Live session in which they performed songs from their recent LP *Our Pleasure*, 2014's full-length *Negative Qualities*, and their 2011 self-titled EP. The band's lineup for this session featured [Drew Thomson](https://drewthomson.bandcamp.com) and longtime drummer Brandon Jagersky with bassist Riley Simpson and guitarist Peter Landi. <iframe src="https://player.vimeo.com/video/241019806" width="640" height="360" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe> [Watch: Single Mothers - Audiotree Live @ Vimeo](https://vimeo.com/241019806 "#") [Listen: Single Mothers - Audiotree Live @ Bandcamp](https://singlemothersband.bandcamp.com/album/single-mothers-audiotree-live "#") With his cross-country US tour long in his rear-view mirror, Calgary folk-punk road warrior [Seth Anderson](https://www.sethandersonmusic.com/) is over in Europe playing the Folk Machine Tour with Forest Pooky (based out of Serrières, France) and Reno, Nevada's Spike McGuire. Seth has two new songs on an EP produced for the tour, titled "Life Without the Fight" and "Meteors." You can check out the whole set below. The tour is currently in France and will visit Belgium, Germany, and Switzerland before the end of the year. Seth has the full itinerary up on his [Facebook](https://www.facebook.com/sethandersonsongs/) page so check there for dates and details. <a name="seth"></a> <iframe width="100%" height="450" scrolling="no" frameborder="no" src="https://w.soundcloud.com/player/?url=https%3A//api.soundcloud.com/playlists/376245890%3Fsecret_token%3Ds-M1eoe&amp;color=%23ff5500&amp;auto_play=false&amp;hide_related=false&amp;show_comments=true&amp;show_user=true&amp;show_reposts=false&amp;show_teaser=true"></iframe> [Listen: The Folk Machine Tour EP @ Some Party](https://www.someparty.ca/2017-11-26-metachroma/#seth "#") Finally this week I wanted to point out a cool little feature that [CBC Arts]( https://twitter.com/CBCArts/) ran, which interviewed Alberta's [Angela Miracle Gladue](https://www.instagram.com/misschiefrocka) (a.k.a. Lunacee) and [Matthew Wood](https://twitter.com/creeasian) (a.k.a. Creeasian), the pow wow dancers who make such a huge impact at [A Tribe Called Red](http://atribecalledred.com/)'s stage shows. The piece is by April Aliermo and you can check it out at [cbc.ca](http://www.cbc.ca/arts/exhibitionists/meet-a-tribe-called-red-s-secret-weapon-the-pow-wow-dancers-electrifying-their-shows-1.4405217).
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RiverDanceGit/yeepay-go-sdk
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cert/README.md
RiverDanceGit/yeepay-go-sdk
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cert/README.md
RiverDanceGit/yeepay-go-sdk
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# 生成公私钥对 #### 自行生成 生成私钥 ``` openssl genrsa -out app_private_key.pem 2048 ``` 生成公钥 ``` openssl rsa -in app_private_key.pem -pubout -out app_public_key.pem ``` Java开发者需要将私钥转换成 PKCS8 格式 ``` openssl pkcs8 -topk8 -inform PEM -in app_private_key.pem -outform PEM -nocrypt -out app_private_key_pkcs8.pem ``` #### PKCS1 秘钥解析,适用C#、PHP、Python 将下载的 p12 或 pfx 证书文件转化成 temp.key 文件 ``` openssl pkcs12 -in 10000466938.p12 -nocerts -nodes -out temp.key ``` 导出私钥 ``` openssl rsa -in temp.key -out cfca_private_key.pem ``` 导出公钥 ``` openssl rsa -in temp.key -pubout -out cfca_public_key.pem ``` #### PKCS8 秘钥解析,适用Java、PHP 将下载的 p12 或 pfx 证书文件转化成 temp.key 文件 ``` openssl pkcs12 -in 10000466938.p12 -nocerts -nodes -out temp.key ``` 导出私钥 ``` openssl rsa -in temp.key -out cfca_private_key.pem ``` 转化成 PKCS8 格式,并且显示信息 ``` openssl pkcs8 -topk8 -inform PEM -in cfca_private_key.pem -outform PEM -nocrypt ``` #### PKCS8 转换 PKCS1(此步骤按需选择,非必须) ``` openssl rsa -in pkcs8.pem -out pri_key.pem ```
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jonl17/HjorturIngvi
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static/news/hjörturs-music-featured-on-a-polish-site.md
jonl17/HjorturIngvi
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static/news/hjörturs-music-featured-on-a-polish-site.md
jonl17/HjorturIngvi
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--- title: Hjörtur's music featured on a Polish site title_en: '' date: 2020-09-14T17:22:21.905Z image: /images/screenshot-2020-09-14-at-17.23.58.png --- Delighted to be featured and reviewed on this Polish site, which is focused exclusively on Icelandic music. "The sound of Hjörtur Jóhannsson's compositions created so far as part of the "24 Pictures" project is the result of the composer's inspiration with classical, neoclassical, film, jazz and improvised music. Instrumental, quite short pieces are characterized by a subtle emotionality, tinged with a hint of reflection. The sonic elegance and intimate atmosphere that the composer is able to bring out from the piano come to the fore in these works." [see more here](http://www.stacjaislandia.pl/aktualnosci/muzyka/recenzje-albumow/hjortur-johannsson-autumn-lights-ost-24-pictures-recenzja/?fbclid=IwAR0nRa0i66BFsZnmJ4u89CY8eemopN7YQr5OJfYfgVpLGhFIzM3fP9R42eY)
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README.md
jeffrysaputra97/kotlin-view-and-viewgroup
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README.md
jeffrysaputra97/kotlin-view-and-viewgroup
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# kotlin-view-and-viewgroup
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README.md
fadika06/program-keahlian
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README.md
fadika06/program-keahlian
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2018-03-14T14:21:00.000Z
2018-05-22T16:18:06.000Z
# Program Keahlian [![Join the chat at https://gitter.im/program-keahlian/Lobby](https://badges.gitter.im/program-keahlian/Lobby.svg)](https://gitter.im/program-keahlian/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) [![Scrutinizer Code Quality](https://scrutinizer-ci.com/g/bantenprov/program-keahlian/badges/quality-score.png?b=master)](https://scrutinizer-ci.com/g/bantenprov/program-keahlian/?branch=master) [![Build Status](https://scrutinizer-ci.com/g/bantenprov/program-keahlian/badges/build.png?b=master)](https://scrutinizer-ci.com/g/bantenprov/program-keahlian/build-status/master) [![Latest Stable Version](https://poser.pugx.org/bantenprov/program-keahlian/v/stable)](https://packagist.org/packages/bantenprov/program-keahlian) [![Total Downloads](https://poser.pugx.org/bantenprov/program-keahlian/downloads)](https://packagist.org/packages/bantenprov/program-keahlian) [![Latest Unstable Version](https://poser.pugx.org/bantenprov/program-keahlian/v/unstable)](https://packagist.org/packages/bantenprov/program-keahlian) [![License](https://poser.pugx.org/bantenprov/program-keahlian/license)](https://packagist.org/packages/bantenprov/program-keahlian) [![Monthly Downloads](https://poser.pugx.org/bantenprov/program-keahlian/d/monthly)](https://packagist.org/packages/bantenprov/program-keahlian) [![Daily Downloads](https://poser.pugx.org/bantenprov/program-keahlian/d/daily)](https://packagist.org/packages/bantenprov/program-keahlian) Program Keahlian ### Install via composer - Development snapshot ```bash composer require bantenprov/program-keahlian:dev-master ``` - Latest release: ```bash composer require bantenprov/program-keahlian ``` ### Download via github ```bash git clone https://github.com/bantenprov/program-keahlian.git ``` #### Edit `config/app.php` : ```php 'providers' => [ /* * Laravel Framework Service Providers... */ Illuminate\Auth\AuthServiceProvider::class, Illuminate\Broadcasting\BroadcastServiceProvider::class, Illuminate\Bus\BusServiceProvider::class, Illuminate\Cache\CacheServiceProvider::class, Illuminate\Foundation\Providers\ConsoleSupportServiceProvider::class, Illuminate\Cookie\CookieServiceProvider::class, //... Bantenprov\ProgramKeahlian\ProgramKeahlianServiceProvider::class, //... ], ``` #### Edit `app/Http/Kernel.php` ```php protected $routeMiddleware = [ 'auth' => \Illuminate\Auth\Middleware\Authenticate::class, 'auth.basic' => \Illuminate\Auth\Middleware\AuthenticateWithBasicAuth::class, 'bindings' => \Illuminate\Routing\Middleware\SubstituteBindings::class, 'can' => \Illuminate\Auth\Middleware\Authorize::class, 'guest' => \App\Http\Middleware\RedirectIfAuthenticated::class, 'throttle' => \Illuminate\Routing\Middleware\ThrottleRequests::class, //... 'role' => \Laratrust\Middleware\LaratrustRole::class, 'permission' => \Laratrust\Middleware\LaratrustPermission::class, 'ability' => \Laratrust\Middleware\LaratrustAbility::class, //... ]; ``` #### Lakukan migrate : ```bash php artisan migrate ``` #### Lakukan publish semua komponen : ```bash php artisan vendor:publish --tag=program-keahlian-publish ``` #### Lakukan auto dump : ```bash composer dump-autoload ``` #### Lakukan seeding : - Seeding semua seeder ```bash php artisan db:seed --class=BantenprovProgramKeahlianSeeder ``` - Seeding secara individual ```bash php artisan db:seed --class=BantenprovProgramKeahlianSeederProgramKeahlian ``` #### Edit menu `resources/assets/js/menu.js` ```javascript { name: 'Dashboard', icon: 'fa fa-dashboard', childType: 'collapse', childItem: [ //... // Program Keahlian { name: 'Program Keahlian', link: '/dashboard/program-keahlian', icon: 'fa fa-angle-double-right', }, //... ] }, ``` ```javascript { name: 'Admin', icon: 'fa fa-lock', childType: 'collapse', childItem: [ //... // Program Keahlian { name: 'Program Keahlian', link: '/admin/program-keahlian', icon: 'fa fa-angle-double-right', }, //... ] }, ``` #### Tambahkan components `resources/assets/js/components.js` : ```javascript //... Program Keahlian ...// import ProgramKeahlianAdminShow from '~/components/bantenprov/program-keahlian/program-keahlian/ProgramKeahlianAdmin.show.vue'; Vue.component('program-keahlian-admin', ProgramKeahlianAdminShow); //... Echarts Program Keahlian ...// import ProgramKeahlian from '~/components/bantenprov/program-keahlian/program-keahlian/ProgramKeahlian.chart.vue'; Vue.component('program-keahlian-echarts', ProgramKeahlian); import ProgramKeahlianKota from '~/components/bantenprov/program-keahlian/program-keahlian/ProgramKeahlianKota.chart.vue'; Vue.component('program-keahlian-echarts-kota', ProgramKeahlianKota); import ProgramKeahlianTahun from '~/components/bantenprov/program-keahlian/program-keahlian/ProgramKeahlianTahun.chart.vue'; Vue.component('program-keahlian-echarts-tahun', ProgramKeahlianTahun); //... Mini Bar Charts Program Keahlian ...// import ProgramKeahlianBar01 from '~/components/views/bantenprov/program-keahlian/program-keahlian/ProgramKeahlianBar01.vue'; Vue.component('program-keahlian-bar-01', ProgramKeahlianBar01); import ProgramKeahlianBar02 from '~/components/views/bantenprov/program-keahlian/program-keahlian/ProgramKeahlianBar02.vue'; Vue.component('program-keahlian-bar-02', ProgramKeahlianBar02); import ProgramKeahlianBar03 from '~/components/views/bantenprov/program-keahlian/program-keahlian/ProgramKeahlianBar03.vue'; Vue.component('program-keahlian-bar-03', ProgramKeahlianBar03); //... Mini Pie Charts Program Keahlian ...// import ProgramKeahlianPie01 from '~/components/views/bantenprov/program-keahlian/program-keahlian/ProgramKeahlianPie01.vue'; Vue.component('program-keahlian-pie-01', ProgramKeahlianPie01); import ProgramKeahlianPie02 from '~/components/views/bantenprov/program-keahlian/program-keahlian/ProgramKeahlianPie02.vue'; Vue.component('program-keahlian-pie-02', ProgramKeahlianPie02); import ProgramKeahlianPie03 from '~/components/views/bantenprov/program-keahlian/program-keahlian/ProgramKeahlianPie03.vue'; Vue.component('program-keahlian-pie-03', ProgramKeahlianPie03); ``` #### Tambahkan route di dalam file : `resources/assets/js/routes.js` : ```javascript { path: '/dashboard', redirect: '/dashboard/home', component: layout('Default'), children: [ //... // Program Keahlian { path: '/dashboard/program-keahlian', components: { main: resolve => require(['~/components/views/bantenprov/program-keahlian/program-keahlian/ProgramKeahlianDashboard.vue'], resolve), navbar: resolve => require(['~/components/Navbar.vue'], resolve), sidebar: resolve => require(['~/components/Sidebar.vue'], resolve), }, meta: { title: "Program Keahlian", }, }, //... ] }, ``` ```javascript { path: '/admin', redirect: '/admin/dashboard/home', component: layout('Default'), children: [ //... // Program Keahlian { path: '/admin/program-keahlian', components: { main: resolve => require(['~/components/bantenprov/program-keahlian/program-keahlian/ProgramKeahlian.index.vue'], resolve), navbar: resolve => require(['~/components/Navbar.vue'], resolve), sidebar: resolve => require(['~/components/Sidebar.vue'], resolve), }, meta: { title: "Program Keahlian", }, }, { path: '/admin/program-keahlian/create', components: { main: resolve => require(['~/components/bantenprov/program-keahlian/program-keahlian/ProgramKeahlian.add.vue'], resolve), navbar: resolve => require(['~/components/Navbar.vue'], resolve), sidebar: resolve => require(['~/components/Sidebar.vue'], resolve), }, meta: { title: "Add Program Keahlian", }, }, { path: '/admin/program-keahlian/:id', components: { main: resolve => require(['~/components/bantenprov/program-keahlian/program-keahlian/ProgramKeahlian.show.vue'], resolve), navbar: resolve => require(['~/components/Navbar.vue'], resolve), sidebar: resolve => require(['~/components/Sidebar.vue'], resolve), }, meta: { title: "View Program Keahlian", }, }, { path: '/admin/program-keahlian/:id/edit', components: { main: resolve => require(['~/components/bantenprov/program-keahlian/program-keahlian/ProgramKeahlian.edit.vue'], resolve), navbar: resolve => require(['~/components/Navbar.vue'], resolve), sidebar: resolve => require(['~/components/Sidebar.vue'], resolve), }, meta: { title: "Edit Program Keahlian", }, }, //... ] }, ```
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jilobakalo/BEST-BOOK-STORE
a38fbdf5ba1d9d8dfbdfd5c2798a2a1ea2152315
[ "MIT" ]
null
null
null
README.md
jilobakalo/BEST-BOOK-STORE
a38fbdf5ba1d9d8dfbdfd5c2798a2a1ea2152315
[ "MIT" ]
null
null
null
README.md
jilobakalo/BEST-BOOK-STORE
a38fbdf5ba1d9d8dfbdfd5c2798a2a1ea2152315
[ "MIT" ]
null
null
null
# BEST-BOOK-STORE
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doc/MODELS.md
DDD-FIT-CTU/CMOS-PLS
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[ "NCSA", "MIT" ]
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2021-03-12T23:43:57.000Z
2021-03-12T23:43:57.000Z
doc/MODELS.md
DDD-FIT-CTU/CMOS-PLS
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doc/MODELS.md
DDD-FIT-CTU/CMOS-PLS
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# Model Description -- deprecated !!! This brief documentation describes model deviations and highlights techniques and model customization employed in this repository. ## Drain/Source Model Areas For proper simulation, and new models, the AD/AS transistor parameters should be checked and altered by hand (if necessary). PD/PS parameters should be also checked, but their modification should not influence the correctness of the simulation. ![MOS areas](./img/MOS_areas.png) * AD MOS parameter: drain Area * AS MOS parameter: source area * PD MOS parameter: drain perimeter area * PS MOS parameter: source perimeter area In this project, AD/AS is standardized: * if the area of drain or source is shared between two stacked transistors, the AD/AS parameters for the particular transistor are equal to 1/2 of the total AS/AD shared area * commonSource/commonDrain parameters should be set to 1, if the transistor belongs to the stacked structure and its drain or source respectively is shared * the "psubIn" node should be shared for NMOSes with overlaping Drain/Source For detailed explanation, see the section below. ### Detailed Explanation for the Model Modifications Related to Serial Transistor Stacks Serial transistor stack(s) share overlapping common drain/source areas. ![Transistor stack](img/transistorStack.png) The theory - for the subthreshold leakage in the two-transistor NMOS stack - says: * when the upper transistor is OFF and the lower transistor is ON, the MOS stack experiences full leakage, because Vds == Vdd * when the lower transistor is OFF and the upper transistor is ON, the open MOS leakage is lower, because Vds == Vdd - Vt For the subthreshold leakage evaluation in TSMC 180nm, see the [simmulation](../tests/test014_nmosSubthresholdLeakage.spice) and [model](../tests/test014_nmosSubthresholdLeakage.gnuplot). The std cell models exported by Magic suffer from drain/source areas mismatch. The areas are exported such a way, that the junction area sum is computed and the resultant area is assigned to one of both stacked transistors; zero is assigned to the second transistor junction area parameter. Example of NAND2X1 model snippet exported by Magic: ``` M1000 Y A VDD VDD TSMC180nmP w=2u l=0.2u ad=1.2p pd=5.2u as=2p ps=10u M1001 VDD B Y VDD TSMC180nmP w=2u l=0.2u ad=0p pd=0u as=0p ps=0u M1002 a_36_24# A VSS VSS TSMC180nmN w=2u l=0.2u ad=0.6p pd=4.6u as=1p ps=5u M1003 Y B a_36_24# VSS TSMC180nmN w=2u l=0.2u ad=1p pd=5u as=0p ps=0u ``` This is OK from the total area point of view (and parasitics), but it may compromise photocurrent simulation. The NMOS model uses AS/AD parameters as a source for junction area computation. Based on the simulations, AS/AD re-balancing was performed by hand for NAND2X1, NOR2X1 and NAND3X1 models: the area fractions were assigned to correct transistors conserving the summary area. In most cases, the area partitions were assigned equally (this is not true just for asymmetric cases -- smaller transistor shares D/S area with a bigger one). It has been shown in [resistantGates/test051](../resistantGates/output/test051.pdf) and [resistantGates/test052](../resistantGates/output/test052.pdf) (see graphs below), that equal assignment is better than other options as it matches the subthreshold leakage theory. The photocurrent for 00 input pattern is the lowest one and the 01 input pattern is a bit higher than 10. Additionally this approach conserves the original (not extended) AS/AD total area. The simulation output for the transistor stack above (one PMOS -- closed for illumination simulation and open for leakage simmulation -- and two serial NMOSes): Simulated subthreshold leakage depending on the input pattern: ![Stack overlaps: leakage](img/stackOverlaps_leakage.png) Simulated photocurrent (300mW laser) depending on the input pattern: ![Stack overlaps: illuminated](img/stackOverlaps_light.png) "commonDrain" and "commonSource" parameters were added to enhanced model and to indicate if drain/source is shared or not to enable correct photocurrent simulation: a single transistor under illumination experiences whole AS/AD area (regardless of whether it is shared with it's stack neighbor) during illumination simulation (it is considered, that if the area is shared, the AS/AD parameter for the particular transistor are equal to 1/2 of the total shared AS/AD area). Additionally, the single virtual "psubIN" node was defined for photocurrent simulation in NMOS stacks (common transistors share the "psubIN" node). Example of NAND2X1 model snippet modified by hand (SUBCKT_PMOS/SUBCKT_NMOS represent the NMOS/PMOS model enriched by laser photocurrent simulation): ``` Xpmos1 Y A VDD VDD VSS LaserTrig SUBCKT_PMOS beamDistance = beamDistanceTop ch_w=2u ch_l=0.2u mos_ad=0.6p mos_pd=2.6u mos_as=1p mos_ps=5u commonDrain = 1 Xpmos2 VDD B Y VDD VSS LaserTrig SUBCKT_PMOS beamDistance = beamDistanceTop ch_w=2u ch_l=0.2u mos_ad=0.6p mos_pd=2.6u mos_as=1p mos_ps=5u commonDrain = 1 Xnmos1 MIDDLE A VSS VSS psubIn LaserTrig SUBCKT_NMOS beamDistance = beamDistanceBot ch_w=2u ch_l=0.2u mos_ad=0.3p mos_pd=4.6u mos_as=1p mos_ps=5u commonDrain = 1 commonSource = 0 Xnmos2 Y B MIDDLE VSS psubIn LaserTrig SUBCKT_NMOS beamDistance = beamDistanceBot ch_w=2u ch_l=0.2u mos_ad=1p mos_pd=5u mos_as=0.3p mos_ps=0u commonDrain = 0 commonSource = 1 * common NMOS substarte virtual node XpsubIn psubIn VSS PSUB_IN ```
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_guests/lena.md
jeromecyang/ltsoj
076a6322e059a2d3eef68fab488a82493689c419
[ "MIT" ]
null
null
null
_guests/lena.md
jeromecyang/ltsoj
076a6322e059a2d3eef68fab488a82493689c419
[ "MIT" ]
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_guests/lena.md
jeromecyang/ltsoj
076a6322e059a2d3eef68fab488a82493689c419
[ "MIT" ]
1
2021-03-14T13:32:34.000Z
2021-03-14T13:32:34.000Z
--- title: 越南女神 Lena website: https://lenainvietnam.com/ facebook: https://www.facebook.com/cchahainvietnam/ instagram: https://www.instagram.com/cchahalena/ subtitle: 說走就走去找越南女神 image: https://imgur.com/5fot2OS.jpg --- 越南女神 Lena,派駐越南的台商業務。就讀政治大學期間修習越南語及東南亞學程,ITI國際企業經營班畢業後開始越南的外派生活,擁有越南工作、自助旅行、經營民宿、協助台灣數位外交協會開拓據點等豐富的經歷。累積去過越南27個行政區,途中發生許多人生驚奇,卻都平安歸來,朋友戲稱宛如越南媽祖,而被稱為越南女神!目前仍在越南奮鬥中,並且努力讓更多故事主動發生。經營臉書專頁「說走就走去找越南女神」。
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jgendron/pandas-profiling-demo
4402dba95b1d138d8157f2cd2448f34603689080
[ "MIT" ]
2
2021-01-20T05:59:03.000Z
2021-12-27T16:20:24.000Z
README.md
jgendron/pandas-profiling-demo
4402dba95b1d138d8157f2cd2448f34603689080
[ "MIT" ]
null
null
null
README.md
jgendron/pandas-profiling-demo
4402dba95b1d138d8157f2cd2448f34603689080
[ "MIT" ]
2
2021-01-20T01:42:11.000Z
2021-01-20T02:26:04.000Z
# Short demonstration of pandas-profiling package *for An Evening of Python Coding* ## Demonstration files: * environment.yml containing dependencies * notebook containing the demonstration * py module containing pre-processing to lighten notebook * a custom_config.yml file used by pandas-profiling
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lavaswap-litepaper-en/README.md
Lava-Swap/audit-reports
55e97493ae0f4e0852aec0b18356f217df5104a2
[ "MIT" ]
null
null
null
lavaswap-litepaper-en/README.md
Lava-Swap/audit-reports
55e97493ae0f4e0852aec0b18356f217df5104a2
[ "MIT" ]
null
null
null
lavaswap-litepaper-en/README.md
Lava-Swap/audit-reports
55e97493ae0f4e0852aec0b18356f217df5104a2
[ "MIT" ]
null
null
null
# lavaswap-litepaper-en [Lite Paper](https://github.com/Lava-Swap/lavaswap-litepaper-en/blob/main/LavaSwap-Eng0216.pdf)
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MarounMaroun/pr-size-labeler
4503b29685d5b30eb2f7d86884db586456a9c02d
[ "MIT" ]
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README.md
MarounMaroun/pr-size-labeler
4503b29685d5b30eb2f7d86884db586456a9c02d
[ "MIT" ]
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README.md
MarounMaroun/pr-size-labeler
4503b29685d5b30eb2f7d86884db586456a9c02d
[ "MIT" ]
1
2020-04-05T05:40:56.000Z
2020-04-05T05:40:56.000Z
## 🚀 Usage Create a file named `labeler.yml` inside the `.github/workflows` directory and paste: ```yml name: labeler on: [pull_request] jobs: labeler: runs-on: ubuntu-latest name: Label the PR size steps: - uses: proteantecs/pr-size-labeler@v2 with: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} xs_max_size: '10' s_max_size: '100' m_max_size: '500' l_max_size: '1000' fail_if_xl: 'false' ``` > If you want, you can customize all `*_max_size` with the size that fits in your project. > Setting `fail_if_xl` to `'true'` will make fail all pull requests bigger than `l_max_size`. ## ⚖️ License [MIT](LICENSE)
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RafaelGSS/measure-hook
b7456e893f03cd08e8d7660b3c51130f473f69b0
[ "MIT" ]
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2020-06-30T17:19:59.000Z
2022-03-27T18:40:25.000Z
README.md
RafaelGSS/measure-hook
b7456e893f03cd08e8d7660b3c51130f473f69b0
[ "MIT" ]
1
2021-04-05T02:35:28.000Z
2021-04-05T17:02:37.000Z
README.md
RafaelGSS/measure-hook
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[ "MIT" ]
null
null
null
# perf-function Measure the performance of an function easily ![Node.js CI](https://github.com/RafaelGSS/function-perf/workflows/Node.js%20CI/badge.svg?branch=master) ## Installation This is a [Node.js](https://nodejs.org/) module available through the [npm registry](https://www.npmjs.com/). It can be installed using the [`npm`](https://docs.npmjs.com/getting-started/installing-npm-packages-locally) or [`yarn`](https://yarnpkg.com/en/) command line tools. ```sh npm install function-perf --save ``` ## Usage ```ts import { Measure } from 'function-perf'; class Example { @Measure({ asyncFunction: true }) async asyncFunctionToMeasure() { // ... } @Measure() functionToMeasure() { // ... } } ``` run `demo.ts` to complete usage ## Tests ```sh npm install npm test ``` ## Dependencies None ## Dev Dependencies - [@types/node](https://ghub.io/@types/node): TypeScript definitions for Node.js ## License MIT
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prayzzz/my-ntp
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README.md
prayzzz/my-ntp
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README.md
prayzzz/my-ntp
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[ "MIT" ]
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<p align="center"> <img src="./resources/icon128.png" width="128" height="128" /> </p> # My New Tab Page - Chrome Extension It allows you to set a local file or website as your New Tab Page while keeping the focus on the address bar. This extension contains _no tracking, no ads and no bullshit_. ## Download Get it from the Chrome Web Store https://chrome.google.com/webstore/detail/my-new-tab-page/hplopeapfnliiflnbdepdjjdmnokjkdk ## Thanks - Icon from [Octicons](https://octicons.github.com/)
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kayatra/core
37dbcc0e8f72adc2af4e4afdc93566cefed8641d
[ "MIT" ]
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README.md
kayatra/core
37dbcc0e8f72adc2af4e4afdc93566cefed8641d
[ "MIT" ]
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README.md
kayatra/core
37dbcc0e8f72adc2af4e4afdc93566cefed8641d
[ "MIT" ]
null
null
null
# Kayatra core [![Build Status](https://travis-ci.org/kayatra/core.svg?branch=master)](https://travis-ci.org/kayatra/core) [![GitHub license](https://img.shields.io/github/license/kayatra/core.svg)]()
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meta/es/mWLKWK.md
DataWorks-NC/mecklenburg-quality-of-life-data
c3f80bfb642a4a285108e80bc3a32fe9cdc9fdbc
[ "MIT" ]
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meta/es/mWLKWK.md
DataWorks-NC/mecklenburg-quality-of-life-data
c3f80bfb642a4a285108e80bc3a32fe9cdc9fdbc
[ "MIT" ]
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2018-04-10T20:56:23.000Z
2022-03-28T15:42:02.000Z
meta/es/mWLKWK.md
DataWorks-NC/mecklenburg-quality-of-life-data
c3f80bfb642a4a285108e80bc3a32fe9cdc9fdbc
[ "MIT" ]
2
2018-06-09T18:17:11.000Z
2018-12-14T15:00:54.000Z
## Ir al Trabajo Caminando Ir al Trabajo Caminando ### ¿Por qué esto es importante? Un número mayor de residentes caminando hacia sus trabajos refleja la proximidad de sus residencias a sus empleadores, una red segura de peatones, y/o preferencia o necesidad de caminar. Caminar tiene beneficios para la salud y financieros, pero como alternativa a conducir ofrece muchos de los mismos beneficios ambientales y de infraestructura que ir en bicicleta o trabajar desde casa: reducción de millas recorridas por vehículo, reducción de congestión vehicular y de demanda de viaje. ### Sobre los Datos Como con todas las mediciones de la Encuesta sobre la Comunidad Estadounidense \[American Community Survey] en el <i>Neighborhood Compass</i>, estos datos representan 5 años de encuestas. Con cada actualización anual, el período de 5 años avanza quitando un año e incorporando el siguiente. Por esta razón, las publicaciones anuales de este producto no son adecuadas para una verdadera comparación de series de tiempo hasta que no exista una superposición entre los períodos encuestados. Fuente: Encuesta sobre la Comunidad Estadounidense \[American Community Survey (ACS)] ### Recursos Adicionales |Recurso | Conozca más y tome acción | |:--- | :--- | |[Encuesta sobre la Comunidad Estadounidense \[American Community Survey (ACS)]](https://www2.census.gov/programs-surveys/acs/main/language_brochures/ACS_QandA_SPA_18.pdf?#) | La fuente de información sobre y datos de la Encuesta sobre la Comunidad Estadounidense (ACS, por sus siglas en inglés). |[Durham Bicycle and Pedestrian Advisory Commission (BPAC)](http://www.bikewalkdurham.org/) (en inglés)| Un grupo de ciudadanos cuyo propósito es asesorar al concejo municipal de Durham y a la Junta de Comisionados del Condado sobre cuestiones relacionadas con ciclistas y peatones.
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biztalk/adapters-and-accelerators/accelerator-swift/module-4-adding-an-xml-receive-location-and-flat-file-send-port.md
changeworld/biztalk-docs.zh-CN
0ee8ca09b377aa26a13e0f200c75fca467cd519c
[ "CC-BY-4.0", "MIT" ]
null
null
null
biztalk/adapters-and-accelerators/accelerator-swift/module-4-adding-an-xml-receive-location-and-flat-file-send-port.md
changeworld/biztalk-docs.zh-CN
0ee8ca09b377aa26a13e0f200c75fca467cd519c
[ "CC-BY-4.0", "MIT" ]
null
null
null
biztalk/adapters-and-accelerators/accelerator-swift/module-4-adding-an-xml-receive-location-and-flat-file-send-port.md
changeworld/biztalk-docs.zh-CN
0ee8ca09b377aa26a13e0f200c75fca467cd519c
[ "CC-BY-4.0", "MIT" ]
null
null
null
--- title: 模块 4: 将 XML 添加接收位置和平面文件发送端口 |Microsoft 文档 ms.custom: '' ms.date: 06/08/2017 ms.prod: biztalk-server ms.reviewer: '' ms.suite: '' ms.tgt_pltfrm: '' ms.topic: article helpviewer_keywords: - send ports, flat files - flat files, send ports - receive locations, creating - tutorial, creating send ports - send ports, creating - tutorial, creating XML receive location ms.assetid: 4885658b-fe46-4cde-9bcb-66afff703ba8 caps.latest.revision: 3 author: MandiOhlinger ms.author: mandia manager: anneta ms.openlocfilehash: c17f5acd97659fa39c2b85f27ff8f28d877b347b ms.sourcegitcommit: cb908c540d8f1a692d01dc8f313e16cb4b4e696d ms.translationtype: MT ms.contentlocale: zh-CN ms.lasthandoff: 09/20/2017 ms.locfileid: "22207541" --- # <a name="module-4-adding-an-xml-receive-location-and-flat-file-send-port"></a>模块 4: 添加 XML 接收位置和平面文件发送端口 在此模块中,你可以添加一个接收端口和位置,和一个发送端口。 你使用的接收端口和位置的入站的文件文件夹中接收 XML 格式 MT103 消息。 发送端口用于将经过验证的 MT103 平面文件消息发送到出站文件的文件夹。 本部分包含: - [第 1 课: 添加 XML 接收端口和位置](../../adapters-and-accelerators/accelerator-swift/lesson-1-adding-xml-receive-port-and-location.md) - [第 2 课: 添加平面文件发送端口](../../adapters-and-accelerators/accelerator-swift/lesson-2-adding-a-flat-file-send-port.md)
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Markdown
results/MRcovideur/Wood2014height/covidhgi2020B2v5alleur/Wood2014height_5e-8_covidhgi2020B2v5alleur_MR_Analaysis.md
marcoralab/MRcovid
2c31fdaca16026635eec51981bd57a671c2fa811
[ "MIT" ]
2
2021-05-05T13:35:55.000Z
2022-02-19T12:43:32.000Z
results/MRcovideur/Wood2014height/covidhgi2020B2v5alleur/Wood2014height_5e-8_covidhgi2020B2v5alleur_MR_Analaysis.md
marcoralab/MRcovid
2c31fdaca16026635eec51981bd57a671c2fa811
[ "MIT" ]
null
null
null
results/MRcovideur/Wood2014height/covidhgi2020B2v5alleur/Wood2014height_5e-8_covidhgi2020B2v5alleur_MR_Analaysis.md
marcoralab/MRcovid
2c31fdaca16026635eec51981bd57a671c2fa811
[ "MIT" ]
1
2021-04-20T17:10:24.000Z
2021-04-20T17:10:24.000Z
--- title: "Mendelian Randomization Analysis" author: "Dr. Shea Andrews" date: "2021-02-17" output: html_document: df_print: paged keep_md: true toc: true number_sections: false toc_depth: 4 toc_float: collapsed: false smooth_scroll: false params: rwd: NA exposure.code: NA Exposure: NA exposure.snps: NA outcome.code: NA Outcome: NA outcome.snps: NA proxy.snps: NA harmonized.dat: NA p.threshold: NA r2.threshold: NA kb.threshold: NA mrpresso_global: NA mrpresso_global_wo_outliers: NA power: NA out: NA editor_options: chunk_output_type: console --- ## Instrumental Variables **SNP Inclusion:** SNPS associated with at a p-value threshold of p < 5e-8 were included in this analysis. <br> **LD Clumping:** For standard two sample MR it is important to ensure that the instruments for the exposure are independent. LD clumping was performed in PLINK using the EUR samples from the 1000 Genomes Project to estimate LD between SNPs, and, amongst SNPs that have an LD above a given threshold, retain only the SNP with the lowest p-value. A clumping window of 10^{4}, r2 of 0.001 and significance level of 1 was used for the index and secondary SNPs. <br> **Proxy SNPs:** Where SNPs were not available in the outcome GWAS, the EUR thousand genomes was queried to identify potential proxy SNPs that are in linkage disequilibrium (r2 > 0.8) of the missing SNP. <br> ### Exposure: Height `#r exposure.blurb` <br> **Table 1:** Independent SNPs associated with Height <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> 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</script> </div> <br> ### Outcome: COVID: B2 `#r outcome.blurb` <br> **Table 2:** SNPs associated with Height avaliable in COVID: B2 <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> 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</script> </div> <br> **Table 3:** Proxy SNPs for COVID: B2 <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> {"columns":[{"label":["proxy.outcome"],"name":[1],"type":["lgl"],"align":["right"]},{"label":["target_snp"],"name":[2],"type":["chr"],"align":["left"]},{"label":["proxy_snp"],"name":[3],"type":["lgl"],"align":["right"]},{"label":["ld.r2"],"name":[4],"type":["lgl"],"align":["right"]},{"label":["Dprime"],"name":[5],"type":["lgl"],"align":["right"]},{"label":["ref.proxy"],"name":[6],"type":["lgl"],"align":["right"]},{"label":["alt.proxy"],"name":[7],"type":["lgl"],"align":["right"]},{"label":["CHROM"],"name":[8],"type":["lgl"],"align":["right"]},{"label":["POS"],"name":[9],"type":["lgl"],"align":["right"]},{"label":["ALT.proxy"],"name":[10],"type":["lgl"],"align":["right"]},{"label":["REF.proxy"],"name":[11],"type":["lgl"],"align":["right"]},{"label":["AF"],"name":[12],"type":["lgl"],"align":["right"]},{"label":["BETA"],"name":[13],"type":["lgl"],"align":["right"]},{"label":["SE"],"name":[14],"type":["lgl"],"align":["right"]},{"label":["P"],"name":[15],"type":["lgl"],"align":["right"]},{"label":["N"],"name":[16],"type":["lgl"],"align":["right"]},{"label":["ref"],"name":[17],"type":["lgl"],"align":["right"]},{"label":["alt"],"name":[18],"type":["lgl"],"align":["right"]},{"label":["ALT"],"name":[19],"type":["lgl"],"align":["right"]},{"label":["REF"],"name":[20],"type":["lgl"],"align":["right"]},{"label":["PHASE"],"name":[21],"type":["lgl"],"align":["right"]}],"data":[{"1":"NA","2":"rs6601882","3":"NA","4":"NA","5":"NA","6":"NA","7":"NA","8":"NA","9":"NA","10":"NA","11":"NA","12":"NA","13":"NA","14":"NA","15":"NA","16":"NA","17":"NA","18":"NA","19":"NA","20":"NA","21":"NA"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}} </script> </div> <br> ## Data harmonization Harmonize the exposure and outcome datasets so that the effect of a SNP on the exposure and the effect of that SNP on the outcome correspond to the same allele. The harmonise_data function from the TwoSampleMR package can be used to perform the harmonization step, by default it try's to infer the forward strand alleles using allele frequency information. <br> **Table 4:** Harmonized Height and COVID: B2 datasets <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> 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</script> </div> <br> SNPs that genome-wide significant in the outcome GWAS are likely pleitorpic and should be removed from analysis. Additionaly remove variants within the APOE locus by exclude variants 1MB either side of APOE e4 (rs429358 = 19:45411941, GRCh37.p13) <br> **Table 5:** SNPs that were genome-wide significant in the COVID: B2 GWAS <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> {"columns":[{"label":["SNP"],"name":[1],"type":["chr"],"align":["left"]},{"label":["chr.outcome"],"name":[2],"type":["dbl"],"align":["right"]},{"label":["pos.outcome"],"name":[3],"type":["dbl"],"align":["right"]},{"label":["pval.exposure"],"name":[4],"type":["dbl"],"align":["right"]},{"label":["pval.outcome"],"name":[5],"type":["dbl"],"align":["right"]}],"data":[],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}} </script> </div> <br> ## Instrument Strength To ensure that the first assumption of MR is not violated (Non-zero effect assumption), the genetic variants selected should be robustly associated with the exposure. Weak instruments, where the variance in the exposure explained by the the instruments is a small portion of the total variance, may result in poor precission and accuracy of the causal effect estiamte. The strength of an instrument can be evaluated using the F statistic, if F is less than 10, this is an indication of weak instrument. ``` ## ## -- Column specification -------------------------------------------------------- ## cols( ## .default = col_double(), ## exposure = col_character(), ## outcome = col_character(), ## method = col_character(), ## outliers_removed = col_logical(), ## logistic = col_logical(), ## beta = col_logical() ## ) ## i Use `spec()` for the full column specifications. ``` <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> {"columns":[{"label":["outliers_removed"],"name":[1],"type":["lgl"],"align":["right"]},{"label":["pve.exposure"],"name":[2],"type":["dbl"],"align":["right"]},{"label":["F"],"name":[3],"type":["dbl"],"align":["right"]},{"label":["Alpha"],"name":[4],"type":["dbl"],"align":["right"]},{"label":["NCP"],"name":[5],"type":["dbl"],"align":["right"]},{"label":["Power"],"name":[6],"type":["dbl"],"align":["right"]}],"data":[{"1":"FALSE","2":"0.1119112","3":"87.55963","4":"0.05","5":"4.251143","6":"0.5405974"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}} </script> </div> The I2_GX statistic can be used to quantify the strength of the NOME violation for MR-Egger regression and should be used to evalute potential bias in the MR-Egger causal estimate, with values less then 90% indicating that causal estimated should interpreted with caution due to regression diluation. <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> {"columns":[{"label":["outliers_removed"],"name":[1],"type":["lgl"],"align":["right"]},{"label":["Isq_gx"],"name":[2],"type":["dbl"],"align":["right"]}],"data":[{"1":"FALSE","2":"0.9026241"},{"1":"TRUE","2":"NA"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}} </script> </div> ## MR Results To obtain an overall estimate of causal effect, the SNP-exposure and SNP-outcome coefficients were combined in 1) a fixed-effects meta-analysis using an inverse-variance weighted approach (IVW); 2) a Weighted Median approach; 3) Weighted Mode approach and 4) Egger Regression. [**IVW**](https://doi.org/10.1002/gepi.21758) is equivalent to a weighted regression of the SNP-outcome coefficients on the SNP-exposure coefficients with the intercept constrained to zero. This method assumes that all variants are valid instrumental variables based on the Mendelian randomization assumptions. The causal estimate of the IVW analysis expresses the causal increase in the outcome (or log odds of the outcome for a binary outcome) per unit change in the exposure. [**Weighted median MR**](https://doi.org/10.1002/gepi.21965) allows for 50% of the instrumental variables to be invalid. [**MR-Egger regression**](https://doi.org/10.1093/ije/dyw220) allows all the instrumental variables to be subject to direct effects (i.e. horizontal pleiotropy), with the intercept representing bias in the causal estimate due to pleiotropy and the slope representing the causal estimate. [**Weighted Mode**](https://doi.org/10.1093/ije/dyx102) gives consistent estimates as the sample size increases if a plurality (or weighted plurality) of the genetic variants are valid instruments. <br> Table 6 presents the MR causal estimates of genetically predicted Height on COVID: B2. <br> **Table 6** MR causaul estimates for Height on COVID: B2 <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> {"columns":[{"label":["id.exposure"],"name":[1],"type":["chr"],"align":["left"]},{"label":["id.outcome"],"name":[2],"type":["chr"],"align":["left"]},{"label":["outcome"],"name":[3],"type":["chr"],"align":["left"]},{"label":["exposure"],"name":[4],"type":["chr"],"align":["left"]},{"label":["method"],"name":[5],"type":["chr"],"align":["left"]},{"label":["nsnp"],"name":[6],"type":["int"],"align":["right"]},{"label":["b"],"name":[7],"type":["dbl"],"align":["right"]},{"label":["se"],"name":[8],"type":["dbl"],"align":["right"]},{"label":["pval"],"name":[9],"type":["dbl"],"align":["right"]}],"data":[{"1":"EP0zwc","2":"RxEfaA","3":"covidhgi2020B2v5alleur","4":"Wood2014height","5":"Inverse variance weighted (fixed effects)","6":"364","7":"0.057802942","8":"0.03554248","9":"0.1038846"},{"1":"EP0zwc","2":"RxEfaA","3":"covidhgi2020B2v5alleur","4":"Wood2014height","5":"Weighted median","6":"364","7":"0.004760072","8":"0.05641802","9":"0.9327611"},{"1":"EP0zwc","2":"RxEfaA","3":"covidhgi2020B2v5alleur","4":"Wood2014height","5":"Weighted mode","6":"364","7":"-0.128077648","8":"0.12797150","9":"0.3175759"},{"1":"EP0zwc","2":"RxEfaA","3":"covidhgi2020B2v5alleur","4":"Wood2014height","5":"MR Egger","6":"364","7":"0.149977048","8":"0.09533669","9":"0.1165622"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}} </script> </div> <br> Figure 1 illustrates the SNP-specific associations with Height versus the association in COVID: B2 and the corresponding MR estimates. <br> <div class="figure" style="text-align: center"> <img src="/sc/arion/projects/LOAD/shea/Projects/MRcovid/results/MRcovideur/Wood2014height/covidhgi2020B2v5alleur/Wood2014height_5e-8_covidhgi2020B2v5alleur_MR_Analaysis_files/figure-html/scatter_plot-1.png" alt="Fig. 1: Scatterplot of SNP effects for the association of the Exposure on the Outcome" /> <p class="caption">Fig. 1: Scatterplot of SNP effects for the association of the Exposure on the Outcome</p> </div> <br> ## Pleiotropy A Cochrans Q heterogeneity test can be used to formaly assesse for the presence of heterogenity (Table 7), with excessive heterogeneity indicating that there is a meaningful violation of at least one of the MR assumptions. these assumptions.. <br> **Table 7:** Heterogenity Tests <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> {"columns":[{"label":["id.exposure"],"name":[1],"type":["chr"],"align":["left"]},{"label":["id.outcome"],"name":[2],"type":["chr"],"align":["left"]},{"label":["outcome"],"name":[3],"type":["chr"],"align":["left"]},{"label":["exposure"],"name":[4],"type":["chr"],"align":["left"]},{"label":["method"],"name":[5],"type":["chr"],"align":["left"]},{"label":["Q"],"name":[6],"type":["dbl"],"align":["right"]},{"label":["Q_df"],"name":[7],"type":["dbl"],"align":["right"]},{"label":["Q_pval"],"name":[8],"type":["dbl"],"align":["right"]}],"data":[{"1":"EP0zwc","2":"RxEfaA","3":"covidhgi2020B2v5alleur","4":"Wood2014height","5":"MR Egger","6":"360.7683","7":"362","8":"0.5083931"},{"1":"EP0zwc","2":"RxEfaA","3":"covidhgi2020B2v5alleur","4":"Wood2014height","5":"Inverse variance weighted","6":"361.8540","7":"363","8":"0.5071111"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}} </script> </div> <br> Figure 2 shows a funnel plot displaying the MR estimates of individual genetic variants against their precession. Aysmmetry in the funnel plot may arrise due to some genetic variants having unusally strong effects on the outcome, which is indicative of directional pleiotropy. <br> <div class="figure" style="text-align: center"> <img src="/sc/arion/projects/LOAD/shea/Projects/MRcovid/results/MRcovideur/Wood2014height/covidhgi2020B2v5alleur/Wood2014height_5e-8_covidhgi2020B2v5alleur_MR_Analaysis_files/figure-html/funnel_plot-1.png" alt="Fig. 2: Funnel plot of the MR causal estimates against their precession" /> <p class="caption">Fig. 2: Funnel plot of the MR causal estimates against their precession</p> </div> <br> Figure 3 shows a [Radial Plots](https://github.com/WSpiller/RadialMR) can be used to visualize influential data points with large contributions to Cochran's Q Statistic that may bias causal effect estimates. ``` ## [1] "No significant Outliers" ``` <div class="figure" style="text-align: center"> <img src="/sc/arion/projects/LOAD/shea/Projects/MRcovid/results/MRcovideur/Wood2014height/covidhgi2020B2v5alleur/Wood2014height_5e-8_covidhgi2020B2v5alleur_MR_Analaysis_files/figure-html/Radial_Plot-1.png" alt="Fig. 4: Radial Plot showing influential data points using Radial IVW" /> <p class="caption">Fig. 4: Radial Plot showing influential data points using Radial IVW</p> </div> <br> The intercept of the MR-Egger Regression model captures the average pleitropic affect across all genetic variants (Table 8). <br> **Table 8:** MR Egger test for directional pleitropy <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> {"columns":[{"label":["id.exposure"],"name":[1],"type":["chr"],"align":["left"]},{"label":["id.outcome"],"name":[2],"type":["chr"],"align":["left"]},{"label":["outcome"],"name":[3],"type":["chr"],"align":["left"]},{"label":["exposure"],"name":[4],"type":["chr"],"align":["left"]},{"label":["egger_intercept"],"name":[5],"type":["dbl"],"align":["right"]},{"label":["se"],"name":[6],"type":["dbl"],"align":["right"]},{"label":["pval"],"name":[7],"type":["dbl"],"align":["right"]}],"data":[{"1":"EP0zwc","2":"RxEfaA","3":"covidhgi2020B2v5alleur","4":"Wood2014height","5":"-0.003064691","6":"0.002941322","7":"0.2981333"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}} </script> </div> <br> Pleiotropy was also assesed using Mendelian Randomization Pleiotropy RESidual Sum and Outlier [(MR-PRESSO)](https://doi.org/10.1038/s41588-018-0099-7), that allows for the evlation of evaluation of horizontal pleiotropy in a standared MR model (Table 9). MR-PRESSO performs a global test for detection of horizontal pleiotropy and correction of pleiotropy via outlier removal (Table 10). <br> **Table 9:** MR-PRESSO Global Test for pleitropy <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> {"columns":[{"label":["id.exposure"],"name":[1],"type":["chr"],"align":["left"]},{"label":["id.outcome"],"name":[2],"type":["chr"],"align":["left"]},{"label":["outcome"],"name":[3],"type":["chr"],"align":["left"]},{"label":["exposure"],"name":[4],"type":["chr"],"align":["left"]},{"label":["pt"],"name":[5],"type":["dbl"],"align":["right"]},{"label":["outliers_removed"],"name":[6],"type":["lgl"],"align":["right"]},{"label":["n_outliers"],"name":[7],"type":["dbl"],"align":["right"]},{"label":["RSSobs"],"name":[8],"type":["dbl"],"align":["right"]},{"label":["pval"],"name":[9],"type":["dbl"],"align":["right"]}],"data":[{"1":"EP0zwc","2":"RxEfaA","3":"covidhgi2020B2v5alleur","4":"Wood2014height","5":"5e-08","6":"FALSE","7":"0","8":"364.0646","9":"0.50592"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}} </script> </div> <br> **Table 10:** MR Estimates after MR-PRESSO outlier removal <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> {"columns":[{"label":["id.exposure"],"name":[1],"type":["chr"],"align":["left"]},{"label":["id.outcome"],"name":[2],"type":["chr"],"align":["left"]},{"label":["outcome"],"name":[3],"type":["chr"],"align":["left"]},{"label":["exposure"],"name":[4],"type":["chr"],"align":["left"]},{"label":["method"],"name":[5],"type":["chr"],"align":["left"]},{"label":["nsnp"],"name":[6],"type":["int"],"align":["right"]},{"label":["b"],"name":[7],"type":["dbl"],"align":["right"]},{"label":["se"],"name":[8],"type":["dbl"],"align":["right"]},{"label":["pval"],"name":[9],"type":["dbl"],"align":["right"]}],"data":[{"1":"EP0zwc","2":"RxEfaA","3":"covidhgi2020B2v5alleur","4":"Wood2014height","5":"Inverse variance weighted (fixed effects)","6":"364","7":"0.057802942","8":"0.03554248","9":"0.1038846"},{"1":"EP0zwc","2":"RxEfaA","3":"covidhgi2020B2v5alleur","4":"Wood2014height","5":"Weighted median","6":"364","7":"0.004760072","8":"0.05833458","9":"0.9349652"},{"1":"EP0zwc","2":"RxEfaA","3":"covidhgi2020B2v5alleur","4":"Wood2014height","5":"Weighted mode","6":"364","7":"-0.128077648","8":"0.12449559","9":"0.3042716"},{"1":"EP0zwc","2":"RxEfaA","3":"covidhgi2020B2v5alleur","4":"Wood2014height","5":"MR Egger","6":"364","7":"0.149977048","8":"0.09533669","9":"0.1165622"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}} </script> </div> <br> <div class="figure" style="text-align: center"> <img src="/sc/arion/projects/LOAD/shea/Projects/MRcovid/results/MRcovideur/Wood2014height/covidhgi2020B2v5alleur/Wood2014height_5e-8_covidhgi2020B2v5alleur_MR_Analaysis_files/figure-html/scatter_plot_outlier-1.png" alt="Fig. 5: Scatterplot of SNP effects for the association of the Exposure on the Outcome after outlier removal" /> <p class="caption">Fig. 5: Scatterplot of SNP effects for the association of the Exposure on the Outcome after outlier removal</p> </div> <br> **Table 11:** Heterogenity Tests after outlier removal <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> {"columns":[{"label":["id.exposure"],"name":[1],"type":["chr"],"align":["left"]},{"label":["id.outcome"],"name":[2],"type":["chr"],"align":["left"]},{"label":["outcome"],"name":[3],"type":["chr"],"align":["left"]},{"label":["exposure"],"name":[4],"type":["chr"],"align":["left"]},{"label":["method"],"name":[5],"type":["chr"],"align":["left"]},{"label":["Q"],"name":[6],"type":["dbl"],"align":["right"]},{"label":["Q_df"],"name":[7],"type":["dbl"],"align":["right"]},{"label":["Q_pval"],"name":[8],"type":["dbl"],"align":["right"]}],"data":[{"1":"EP0zwc","2":"RxEfaA","3":"covidhgi2020B2v5alleur","4":"Wood2014height","5":"MR Egger","6":"360.7683","7":"362","8":"0.5083931"},{"1":"EP0zwc","2":"RxEfaA","3":"covidhgi2020B2v5alleur","4":"Wood2014height","5":"Inverse variance weighted","6":"361.8540","7":"363","8":"0.5071111"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}} </script> </div> <br> **Table 12:** MR Egger test for directional pleitropy after outlier removal <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> {"columns":[{"label":["id.exposure"],"name":[1],"type":["chr"],"align":["left"]},{"label":["id.outcome"],"name":[2],"type":["chr"],"align":["left"]},{"label":["outcome"],"name":[3],"type":["chr"],"align":["left"]},{"label":["exposure"],"name":[4],"type":["chr"],"align":["left"]},{"label":["egger_intercept"],"name":[5],"type":["dbl"],"align":["right"]},{"label":["se"],"name":[6],"type":["dbl"],"align":["right"]},{"label":["pval"],"name":[7],"type":["dbl"],"align":["right"]}],"data":[{"1":"EP0zwc","2":"RxEfaA","3":"covidhgi2020B2v5alleur","4":"Wood2014height","5":"-0.003064691","6":"0.002941322","7":"0.2981333"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}} </script> </div> <br>
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examples/methods/README.md
particulajs/particula
fc426b8b53ce016b7229a8050a726aa5accc5548
[ "MIT" ]
6
2019-02-26T13:06:14.000Z
2019-02-28T22:26:10.000Z
examples/methods/README.md
yamalight/particula
fc426b8b53ce016b7229a8050a726aa5accc5548
[ "MIT" ]
12
2019-02-26T18:49:58.000Z
2019-03-20T13:10:19.000Z
examples/methods/README.md
yamalight/particula
fc426b8b53ce016b7229a8050a726aa5accc5548
[ "MIT" ]
1
2019-02-26T14:43:20.000Z
2019-02-26T14:43:20.000Z
# HTTP methods Particula app example ## How to use 1. Start the app by running `npm start` 2. Navigate to `http://localhost:8080` to see GET response 3. Send POST / PUT / DELETE request to `http://localhost:8080` to see corresponding response
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_posts/2018-11-17-Download-how-to-do-animal-rights-2nd-edition.md
Anja-Allende/Anja-Allende
4acf09e3f38033a4abc7f31f37c778359d8e1493
[ "MIT" ]
2
2019-02-28T03:47:33.000Z
2020-04-06T07:49:53.000Z
_posts/2018-11-17-Download-how-to-do-animal-rights-2nd-edition.md
Anja-Allende/Anja-Allende
4acf09e3f38033a4abc7f31f37c778359d8e1493
[ "MIT" ]
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_posts/2018-11-17-Download-how-to-do-animal-rights-2nd-edition.md
Anja-Allende/Anja-Allende
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README.md
TheThingSystem/node-thing-client
6a46d6f00bfd51423f52e1168ce340ce4ad802b9
[ "MIT" ]
2
2015-01-20T09:22:06.000Z
2016-02-27T18:27:30.000Z
README.md
TheThingSystem/node-thing-client
6a46d6f00bfd51423f52e1168ce340ce4ad802b9
[ "MIT" ]
null
null
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README.md
TheThingSystem/node-thing-client
6a46d6f00bfd51423f52e1168ce340ce4ad802b9
[ "MIT" ]
null
null
null
node-thing-client ================= A node.js module to interface with TheThingSystem steward, as a thing. This package implements a node.js module for the [Simple Thing Protocol](http://thethingsystem.com/dev/Simple-Thing-Protocol.html). Install ------- npm install thing-client API --- ### Ready! var ThingAPI = require('thing-client'); ### Set! You can identify the steward by either: - steward.name: - IP address, e.g., '192.168.1.xxx', or '127.0.0.1' - domain name, e.g., 'zekariah', or 'localhost' - place name, i.e., place1.name such as 'zephyr' - steward.uuid: - place UUID, e.g., 2f402f80-da50-11e1-9b23-0123456789ab The place and the UUID are advertised by the steward on the local network. You should also include a reference to either the location of the steward's certificate file (steward.crtPath) or the actual certificate itself (steward.crtData). The very first time that your thing talks to the steward, it must pair. In order to pair, you must provide, at a minimum, a UUID for the thing. In addition, if the steward is configured to require a pairing code, then that too must be supplied. When the 'paired' event is emitted, it is passes a state variable that should be used as a parameter the next time the API is started. The API does not attempt to recover on either a close, or error. Instead, you may choose to start over or exit, as you see fit. var steward = new ThingAPI.ThingAPI( { steward : { name : 'steward.local' , crtPath : 'server.crt' } , pairing : { thingUUID : '...' // , code : '...' } /* , state : state */ }).on('paired', function(state) { // save state to pass as option for the future }).on('ready', function() { // ok, let's get to work! }).on('close', function() { // typically, just log and recover/exit }).on('error', function(err) { // typically, just log and recover/exit }); ### Go! To understand how to use these operations, please read [Simple Thing Protocol](http://thethingsystem.com/dev/Simple-Thing-Protocol.html). // invoked exactly once var cb1 = function(message) { ... }; steward.prototype(things, cb1); steward.register(things, cb1); steward.update(things, cb1); steward.report(events, cb1); steward.on('emit', cb1); // an event ### Finally! Enjoy. License ======= [MIT](http://en.wikipedia.org/wiki/MIT_License) license. Freely have you received, freely give. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the 'Software'), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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doc/zen/why-tree.md
wzru/ticat
8059355b190b2bfb9e6ee38f26f5a15e359b5e30
[ "Apache-2.0" ]
19
2021-05-18T07:49:59.000Z
2022-02-17T02:31:31.000Z
doc/zen/why-tree.md
wzru/ticat
8059355b190b2bfb9e6ee38f26f5a15e359b5e30
[ "Apache-2.0" ]
30
2021-05-18T12:17:11.000Z
2022-02-17T05:22:07.000Z
doc/zen/why-tree.md
wzru/ticat
8059355b190b2bfb9e6ee38f26f5a15e359b5e30
[ "Apache-2.0" ]
2
2021-06-04T06:59:02.000Z
2021-06-21T15:44:40.000Z
# Zen: the choices we made ## Why commands and env key-values are in tree form In fact, most command line tools choose 2~3 depth sub-command organizating, for example: ``` $> tiup cluster start $> tiup cluster deploy ``` The differences are little: * Ticat join the command path with `.` into an id like `cluster.start` * Ticat has unlimit depth The reason is to deal with huge number of commands, **ticat** is a platform with huge amount of commands from different authors, the tree form provides a namespace mechanism to avoid command name conflictings. The branch path could be used for a specific concept, the authors provide tools in this sub-tree, and the uses can explore this branch for specific tools. On the end-user side, looking through the command tree to find what we want is not sugguested, searching by keywords is a better way. The reasons are the same in env key-values.
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jami-core/src/main/java/psidev/psi/mi/jami/analysis/graph/README.md
MICommunity/PSI-JAMI
3123e0f9c5d946cdbfcc8f4a3e100d2add97cdeb
[ "Apache-2.0" ]
4
2016-10-18T11:55:25.000Z
2021-04-13T10:46:15.000Z
jami-core/src/main/java/psidev/psi/mi/jami/analysis/graph/README.md
MICommunity/psi-jami
3123e0f9c5d946cdbfcc8f4a3e100d2add97cdeb
[ "Apache-2.0" ]
54
2016-06-21T14:45:49.000Z
2022-01-21T23:20:49.000Z
jami-core/src/main/java/psidev/psi/mi/jami/analysis/graph/README.md
MICommunity/PSI-JAMI
3123e0f9c5d946cdbfcc8f4a3e100d2add97cdeb
[ "Apache-2.0" ]
5
2016-07-19T15:52:55.000Z
2020-01-30T16:10:27.000Z
#jami-core ##graph The factory package contains factories for create new interactions instances or to create/define your datasource and your writer. Home of the clique finder. We use the clique finder to set inferred interactions. ``` protected Collection<Set<Feature>> collectInferredInteractionsFrom(T object){ BindingSiteCliqueFinder<T,Feature> cliqueFinder = new BindingSiteCliqueFinder<T, Feature>(object); return cliqueFinder.getAllMaximalCliques(); } ``` It can find all maximal cliques in a graph of binding feature pairs (can retrieve complete graph of binding sites). This BronKerboschCliqueFinder implements Bron-Kerbosch clique detection algorithm as it is described in [Samudrala R.,Moult J.:A Graph-theoretic Algorithm for comparative Modeling of Protein Structure; J.Mol. Biol. (1998); vol 279; pp. 287-302]
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README.md
Kotaro7750/denite-clipy
00a1da41b99170f91afffafc8e7319f27851b7fd
[ "MIT" ]
null
null
null
README.md
Kotaro7750/denite-clipy
00a1da41b99170f91afffafc8e7319f27851b7fd
[ "MIT" ]
null
null
null
README.md
Kotaro7750/denite-clipy
00a1da41b99170f91afffafc8e7319f27851b7fd
[ "MIT" ]
null
null
null
# denite-clipy denite-clipy is denite extension which makes it easier to paste snippet from any directory. ## setting set these variables in your vimscript. |name|type|description| |:--:|:--:|:--:| |g:clipy_root|string|specify directory of your snippet| |g:clipy_filetype|list|specify filetype of your snippet| ```vim "example let g:clipy_root = expand("~/snippet") let g:clipy_filetype = {'cpp':['hpp','cpp'],'python':['py']} ``` When you set like above and edit cpp file, :Denite clipy command shows ~/snippet/**/*.(hpp|cpp).
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content/writeups/hack-the-box/README.md
Ko-kn3t/wiki.jacobshodd.com
bf356ff8e8918d261f53dfc247627548fcb9963d
[ "MIT" ]
null
null
null
content/writeups/hack-the-box/README.md
Ko-kn3t/wiki.jacobshodd.com
bf356ff8e8918d261f53dfc247627548fcb9963d
[ "MIT" ]
1
2020-01-30T15:42:42.000Z
2020-01-30T15:43:57.000Z
content/writeups/hack-the-box/README.md
Ko-kn3t/wiki.jacobshodd.com
bf356ff8e8918d261f53dfc247627548fcb9963d
[ "MIT" ]
3
2020-04-18T03:44:25.000Z
2021-02-18T08:49:01.000Z
# Hack The Box
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src/ms/2020-02/11/01.md
PrJared/sabbath-school-lessons
94a27f5bcba987a11a698e5e0d4279b81a68bc9a
[ "MIT" ]
68
2016-10-30T23:17:56.000Z
2022-03-27T11:58:16.000Z
src/ms/2020-02/11/01.md
PrJared/sabbath-school-lessons
94a27f5bcba987a11a698e5e0d4279b81a68bc9a
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2016-10-21T03:50:22.000Z
2022-03-28T23:35:25.000Z
src/ms/2020-02/11/01.md
PrJared/sabbath-school-lessons
94a27f5bcba987a11a698e5e0d4279b81a68bc9a
[ "MIT" ]
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2016-08-02T14:32:13.000Z
2022-03-31T10:18:41.000Z
--- title: Alkitab Dan Nubuatan date: 06/06/2020 --- ### Bacaan Untuk Pelajaran Minggu Ini Dan. 2:27–45, Yoh. 14:29, Bil. 14:34, Dan. 7:1–25, Dan. 8:14, 1 Kor. 10:1–13. > <p>Ayat Hafalan</p> > “Maka ia menjawab: Sampai lewat dua ribu tiga ratus petang dan pagi, lalu tempat kudus itu akan dipulihkan dalam keadaan yang wajar." (Daniel 8:14). Nubuatan Alkitab sangat penting untuk identiti dan misi kita. Nubuatan menyediakan mekanisme dalaman dan luaran untuk menguatkan ketepatan Firman Tuhan. Yesus berkata, " 'Dan sekarang juga Aku mengatakannya kepadamu sebelum hal itu terjadi, supaya kamu percaya, apabila hal itu terjadi' " (Yohanes 14:29, lihat juga Yohanes 13:19). Persoalan penting adalah: Bagaimanakah kita menafsirkan nubuatan dengan betul agar kita tahu apabila nubuatan itu sesungguhnya sudah digenapi? Pada zaman Reformasi, para reformis mengikuti kaedah historicist. Kaedah ini adalah kaedah yang sama yang digunakan oleh Daniel dan Yohanes sebagai kunci untuk tafsiran mereka sendiri. Kaedah historicist melihat nubuatan sebagai kegenapan sejarah yang progresif dan berterusan, bermula pada masa lalu dan berakhir dengan kerajaan Tuhan yang kekal. Minggu ini, kita akan mengkaji bagaimana kita dapat menggunakan pandangan historicist untuk memahami nubutan. "Kita harus melihat dalam sejarah kegenapan nubuatan, untuk mengkaji bagaimana Tuhan memimpin kerja penting reformasi, dan untuk memahami perjalanan peristiwa dalam persiapan bangsa-bangsa untuk menghadapi konflik terakhir kontroversi besar itu." —Ellen G. White, Testimonies for the Church, vol. 8, ms. 307. (historicist* - Kaedah penafsiran nubuatan dengan melihat kegenapannya dalam sejarah). _*Sila kaji pelajaran minggu ini untuk persediaan Sabat, 13 Jun._
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scottvlaminck/api-gateway-mapping-template
81b39389658fcd3672b8a22d1df3a79e233e786b
[ "MIT" ]
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2016-01-04T19:33:24.000Z
2022-02-08T09:59:32.000Z
README.md
scottvlaminck/api-gateway-mapping-template
81b39389658fcd3672b8a22d1df3a79e233e786b
[ "MIT" ]
8
2016-03-24T07:18:52.000Z
2021-11-09T14:28:34.000Z
README.md
scottvlaminck/api-gateway-mapping-template
81b39389658fcd3672b8a22d1df3a79e233e786b
[ "MIT" ]
8
2016-09-21T16:37:44.000Z
2022-02-16T17:02:18.000Z
# api-gateway-mapping-template make AWS API Gateway's Mapping Template testable ![Image](http://toqoz.net/art/images/api-gateway-mapping-template.png) ## Installation ``` npm install api-gateway-mapping-template ``` ## Usage simple.js: ```node var mappingTemplate = require('api-gateway-mapping-template') var vtl = '$input.json(\'$.data\')'; var payload = '{"data": {"url": "https://github.com/ToQoz/api-gateway-mapping-template"}}'; var result = mappingTemplate({template: vtl, payload: payload}) console.dir(result); ``` *** ``` $ node ./simple.js '{"url":"https://github.com/ToQoz/api-gateway-mapping-template"}' ``` ## Examples - [ToQoz/api-gateway-localdev](https://github.com/ToQoz/api-gateway-localdev) - simulate API Gateway + Lambda in your local. - [online checker](https://github.com/ToQoz/mapping-template-checker.toqoz.net) - http://mapping-template-checker.toqoz.net ## API ```node var mappingTemplate = require('api-gateway-mapping-template') ``` ### mappingTemplate(parameters) This function renders AWS API Gateway's Mapping Template by using given payload, params and context. - Arguments - parameters - **required** - `map` - template - **required** - `String|Buffer` - payload - **required** - `String|Buffer` - params - `map` - path - `map<String, String|Number|Boolean|null>` - querystring - `map<String, String|Number|Boolean|null>` - header - `map<String, String|Number|Boolean|null>` - context - `map` - indentity - `map<String, String>` - cognitoAuthenticationType - `String` - cognitoIdentityId - `String` - cognitoIdentityPoolId - `String` - sourceIp - `String` - user - `String` - userAgent - `String` - userArn - `String` - requestId - `String` - resourceId - `String` - resourcePath - `String` - stage - `String` - Return value - rendered template - `String`
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{{cookiecutter.project_slug}}/docs/usage.md
openinfrastructure/pypackage
6ade90971ac340b1a128a4ccaa480c2347e7186e
[ "BSD-3-Clause" ]
null
null
null
{{cookiecutter.project_slug}}/docs/usage.md
openinfrastructure/pypackage
6ade90971ac340b1a128a4ccaa480c2347e7186e
[ "BSD-3-Clause" ]
null
null
null
{{cookiecutter.project_slug}}/docs/usage.md
openinfrastructure/pypackage
6ade90971ac340b1a128a4ccaa480c2347e7186e
[ "BSD-3-Clause" ]
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null
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# Usage To use {{ cookiecutter.project_name }}: ```sh {{ cookiecutter.project_slug }} --help ```
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README.md
webmasterdevlin/OfficeAppSpringBootAPI
f65c94ccab1d3f28d75e5e95c9d46a8d643dba5c
[ "MIT" ]
null
null
null
README.md
webmasterdevlin/OfficeAppSpringBootAPI
f65c94ccab1d3f28d75e5e95c9d46a8d643dba5c
[ "MIT" ]
null
null
null
README.md
webmasterdevlin/OfficeAppSpringBootAPI
f65c94ccab1d3f28d75e5e95c9d46a8d643dba5c
[ "MIT" ]
null
null
null
# OfficeApp Spring Boot API (work in progress) ###TODO List: ######1.) Fix Swagger API ######2.) Fix @PreAuthorized and @Secured ######3.) Implement JWT ######4.) Implement log4j
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docs/error-messages/compiler-errors-1/fatal-error-c1508.md
anmrdz/cpp-docs.es-es
f3eff4dbb06be3444820c2e57b8ba31616b5ff60
[ "CC-BY-4.0", "MIT" ]
null
null
null
docs/error-messages/compiler-errors-1/fatal-error-c1508.md
anmrdz/cpp-docs.es-es
f3eff4dbb06be3444820c2e57b8ba31616b5ff60
[ "CC-BY-4.0", "MIT" ]
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null
docs/error-messages/compiler-errors-1/fatal-error-c1508.md
anmrdz/cpp-docs.es-es
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[ "CC-BY-4.0", "MIT" ]
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--- title: Error irrecuperable C1508 | Microsoft Docs ms.custom: '' ms.date: 11/04/2016 ms.technology: - cpp-diagnostics ms.topic: error-reference f1_keywords: - C1508 dev_langs: - C++ helpviewer_keywords: - C1508 ms.assetid: 1112c17d-d60f-470d-b886-fd1a9556c0ea author: corob-msft ms.author: corob ms.workload: - cplusplus ms.openlocfilehash: e5b0e140aa0c38a04098616302e1aa098c48e9b5 ms.sourcegitcommit: 913c3bf23937b64b90ac05181fdff3df947d9f1c ms.translationtype: MT ms.contentlocale: es-ES ms.lasthandoff: 09/18/2018 ms.locfileid: "46060374" --- # <a name="fatal-error-c1508"></a>Error irrecuperable C1508 Límite del compilador: 'function': más de 65535 bytes de argumentos Los parámetros formales para la función superan el límite de 65535 bytes.
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_includes/binarization/exercises/binarization_jython.md
tobyhodges/training-resources
c2f9fa74ffb5479d1883e8e20be967e41d4cb87e
[ "CC-BY-4.0" ]
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_includes/binarization/exercises/binarization_jython.md
tobyhodges/training-resources
c2f9fa74ffb5479d1883e8e20be967e41d4cb87e
[ "CC-BY-4.0" ]
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_includes/binarization/exercises/binarization_jython.md
tobyhodges/training-resources
c2f9fa74ffb5479d1883e8e20be967e41d4cb87e
[ "CC-BY-4.0" ]
null
null
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Use imageJMacro to create 3 binary images from *xy_8bit_PCNA.tif* where 1. 2 foreground nuclei. 2. only the boundary of the 2 nuclei 3. only the bright dots remain > ## Solution > ```python > from ij import IJ, ImagePlus > from ij.plugin import Thresholder > # image is xy_8bit_PCNA.tif > inputImage = IJ.getImage() #get Current open Image > IJ.setRawThreshold(inputImage, 5, 255, None) > binaryImage = ImagePlus('Binary image 2 nuclei', Thresholder.createMask(inputImage)) > binaryImage.show() > IJ.setRawThreshold(inputImage, 4, 4, None) > binaryImage_boundary = ImagePlus('Binary boundary', Thresholder.createMask(inputImage)) > binaryImage_boundary.show() > IJ.setRawThreshold(inputImage, 44, 255, None) > binaryImage_brightdots = ImagePlus('Binary bright dots', Thresholder.createMask(inputImage)) > binaryImage_brightdots.show() > ``` {: .solution} > ## Solution with input parameters > ```python > #@ Integer (label="Lower threshold") thr1 > #@ Integer (label="Upper threshold") thr2 > > from ij import IJ, ImagePlus > from ij.plugin import Thresholder > # image is xy_8bit_PCNA.tif should be already open > inputImage = IJ.getImage() #get Current open Image > IJ.setRawThreshold(inputImage, thr1, thr2, None) > binaryImage = ImagePlus('Thresholded image', Thresholder.createMask(inputImage)) > binaryImage.show() > ``` {: .solution}
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brideo/blog
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_posts/magento-certification-notes/Rendering 7%/2015-07-06-Design-layout,-XML-schema,-and-CMS-content-directives.md
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_posts/magento-certification-notes/Rendering 7%/2015-07-06-Design-layout,-XML-schema,-and-CMS-content-directives.md
brideo/blog
e6e6dce45aa0aa21af061c76427b156a43887b7f
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--- layout: post title: Design layout, XML schema, and CMS content directives categories: magento-certification-notes rendering --- ##Describe the elements of Magento's layout XML schema, including the major layout directives: ###How are <update />, <block />, and <action /> used in Magento layout? - update - Include a nodes from another handle - block - Define a block - action - Can call a method within a block ###Which classes and methods determine which nodes from layout XML correspond to certain URLs? When the {% highlight ruby %}`$this->loadLayout()`{% endhighlight %} is called in Magento, this in turn calls {% highlight ruby %}`Mage_Core_Model_Layout::generateXml()`{% endhighlight %}. These code references can be used as an entry point to find answers to the questions above: - `Mage_Core_Model_Layout` - `Mage_Core_Model_Layout_Update` - `Mage_Core_Block_Abstract` ##Register layout XML files: See the question below. ###How can layout XML files be registered for the frontend and adminhtml areas? This is done in configuration XML `etc/config.xml` {% highlight xml %} <config> <{area}> <layout> <{unique_string}> <update> <file>{filename}.xml</file> </update> </{unique_string}> </layout> </{area}> </config> {% endhighlight %} These code references can be used as an entry point to find answers to the questions above: - `Mage_Core_Model_Layout_Update` ##Create and add code to pages: ###How can code be modified or added to Magento pages using the following methods? - Template customizations - Layout customizations - Overriding block classes - Registering observers on general block events ##In which circumstances are each of the above methods more or less appropriate than others? These code references can be used as an entry point to find answers to the questions above: - `Mage_Core_Controller_Varien_Action` - `Mage/Core/Block/*` - `Mage_Core_Block_Abstract` - `Mage_Core_Block_Template` - `Mage_Core_Block_Text` - `Mage_Core_Block_Text_List` - `Mage_Page_Block_Html_Head` ##Explain how variables can be passed to block instances via layout XML: You can pass variables in layout XML by using Varien Objects magic methods combined with the `action` XML tag: {% highlight xml %} <action method="setSomeVariable"> <args> SomeValue <args> </action> {% endhighlight %} ###How can variables be passed to the block using the following methods? - From layout xml file - If you see above you can see the Varien's Magic Method allows you to set variables. - From controller - {% highlight ruby %}`Mage::Regester({key}, {value})`{% endhighlight %} - From one block to another - From an arbitrary location (for example, install/upgrade scripts, models) - Configuration Value ###In which circumstances are each of the above methods more or less appropriate than others? These code references can be used as an entry point to find answers to the questions above: - `Mage_Core_Model_Layout` - `Mage_Core_Controller_Varien_Action` - `Mage/Core/Block/*` - `Mage_Core_Block_Abstract` - `Mage_Core_Block_Template` - `Mage_Core_Block_Text` - `Mage_Core_Block_Text_List` - `Mage_Page_Block_Html_Head` ##Describe various ways to add and customize JavaScript to specific request scopes: Magento has a bunch of predefined methods in which you can Add javascript to the page. JS libraries are in the root `/js` folder. Skin JS is for theme only Javascript and is usually for customised code, this is useful for making custom overrides. This is stored in `/skin/{area}/{package}/{theme}/js`. Like when using any method within a block you can use these methods by using the following layout XML. {% highlight xml %} <action method="{method_name}"> <{descriptive_node}> {parameter} </descriptive_node> </action> {% endhighlight %} ###Which block is responsible for rendering JavaScript in Magento? The `head` block or `Mage_Page_Block_Html_Head` is responsible for rendering the Javascript. ###Which modes of including JavaScript does Magento support There are various methods for adding Javascript in Magento, these include: - `addJs` - `addJsIe` - `addItem` - ###Params: - `js - `skin_js ###Which classes and files should be checked if a link to a custom JavaScript file isn’t being rendered on page? I would first check the layout XML file which the JS had been added in to check the syntax is correct, next I would check the file exists where specified. Now finally if everything is still correct it might be worth stepping through the code in `Mage_Page_Block_Html_Head` to see what is happening; it could be being removed by another module or something. These code references can be used as an entry point to find answers to the questions above: - `Mage/Core/Block/*` - `Mage_Core_Block_Abstract` - `Mage_Core_Block_Template` - `Mage_Core_Block_Text` - `Mage_Core_Block_Text_List` - `Mage_Page_Block_Html_Head`
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jia1/sjvj-qna
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--- layout: post title: "What is your favourite thing to do on a Friday night?" date: 2016-06-11 23:59:00 +0800 categories: --- But it's a Saturday...
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alexzhornyak/ScxmlEditor-Tutorial
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README.md
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README.md
alexzhornyak/ScxmlEditor-Tutorial
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<a name="top-anchor"/> | [Contents](#table-of-contents) | [SCXML Wiki](https://alexzhornyak.github.io/SCXML-tutorial/) | [SCXML Examples](https://alexzhornyak.github.io/SCXML-tutorial/Examples/) | [Forum](https://github.com/alexzhornyak/ScxmlEditor-Tutorial/discussions) | |---|---|---|---| **[Video overview - v.1.0](https://youtu.be/tL-NICRwggY)** **[Video overview - v.2.0](https://youtu.be/SryLDwxcCjA)** **[Video overview - v.2.1](https://youtu.be/h2CXPBAK_XY)** **[Video overview - v.2.2](https://youtu.be/30dyXAs-m1A)** # Scxml Editor 2.2 Powerful tool for creating, editing and debugging SCXML charts. ![MainExample](Images/Inheritance_TV_example.gif) **New:** [IDE Insight](#new-ide-insight), [DOT-based autolayout](Doc/DotBasedAutoLayout.md#dot-based-auto-layout), [SCXML to DOT](Doc/DotBasedAutoLayout.md#how-to-convert-scxml-to-dot), [Inheritance](Doc/Inheritance.md), [visual chart splitting](Doc/VisualStateChartSplitting.md), [conditional project definitions](Doc/ConditionalDefines.md), GIF maker etc. ## Discussions [![Discord](Images/Discord.svg)](https://discord.gg/5XWDsbEXzn) ### Changelog **2.2.4:** [Import QtCreator state charts](Doc/ImportStateCharts.md) <br/> **2.2.3:** [Transition indexes bugfix](https://github.com/alexzhornyak/ScxmlEditor-Tutorial/issues/66) <br/> **2.2.2:** [Option to override SmartTransitions](Doc/SmartSwitchTransitions.md#option-to-override-inverted-condition-since-scxmleditor-222) <br/> **2.2.1:** [Qt SVG Monitors Released](Include/README.md) <br/> **2.2:** [Invoke ID is sending by testing apps](Doc/DebugScxmlStateCharts.md#how-to-debug-multiple-invoked-state-machines) <br/> **2.1.10:** [New breakpoints interface](Doc/DebugScxmlStateCharts.md#breakpoints) <br/> **2.1.9:** [Better handling of virtual states](Doc/VisualStateChartSplitting.md#adding-onentry-onexit-datamodel-and-invoke-to-virtual-states) <br/> **2.1.8:** [Support of custom console testing applications](Doc/DebugScxmlStateCharts.md#custom-testing-application-setup) like [SCION command-line tool](https://gitlab.com/scion-scxml/cli) <br/> **2.1.7:** [SVG Export Settings](Doc/ExportScxmlToSVG.md#svg-export-settings) <br/> **2.1.6:** UScxmlTester with EcmaScript, In() predicate autocomplete, QtScxmlTester 5.9.1->5.15 <br/> **2.1.5:** [Refactored Qt external debugger](Include/README.md#qt-scxml-external-debugging-monitor) <br/> **2.1.4:** [Export SCXML to SVG](Doc/ExportScxmlToSVG.md), [Structure View](Doc/ScxmlStructureView.md) ## System requirments Windows 7, 8, 10 MSVC 2015 Update 3 Runtimes installed ## Installation You can find portable version **[here](https://www.dropbox.com/sh/fjzm9ejdrtra1c0/AAB_ASgIPRFLX57x7rWPEv3Ta?dl=0)** Latest version: **[2.2.4.1642](https://www.dropbox.com/sh/fjzm9ejdrtra1c0/AAB_ASgIPRFLX57x7rWPEv3Ta?dl=0)** ### First Install 1. [Download](https://www.dropbox.com/sh/fjzm9ejdrtra1c0/AAB_ASgIPRFLX57x7rWPEv3Ta?dl=0) and unpack it in any target location 2. Install **ScxmlEditor\vcredist_x86.exe** for **UscxmlTester**, **Graphviz** 3. Install **ScxmlEditor\vcredist_x64.exe** for **QtScxmlTester** <br/> (_You may skip steps 2 and 3 if you have previously installed MSVC 2015 Update 3_) ### Update 1. [Download](https://www.dropbox.com/sh/fjzm9ejdrtra1c0/AAB_ASgIPRFLX57x7rWPEv3Ta?dl=0) and unpack it into **Temporary** folder 2. Run **Temporary\ScxmlEditor\ScxmlEditor_InstallOrUpdate.cmd "Path\To\Location\ScxmlEditor"** > NOTICE! We are continiously making updates, so follow the version number on the README page and update to the latest to have all last cool features ![AppPreview](Images/ApplicationPreview.gif) ## Roadmap - Make Open API (Lua based) - Make cross-platform - Make opensource ## Donations If you are interested in the development of ScxmlEditor we would be highly appreciated for any help. | Paypal | | ------ | | [![PaypalBtn](https://www.paypalobjects.com/en_US/i/btn/btn_donateCC_LG.gif)](https://www.paypal.com/donate?business=XRF8TTUJFNCXA&item_name=Development+of+SCXML+State+Machines+and+ScxmlEditor&currency_code=USD) | ## Table of contents - Common - [IDE Insight](Doc/IDEInsight.md) - Main menu - Main toolbar - [Project tree](Doc/ProjectTree.md) - [Property inspector](Doc/PropertyInspector.md) - [SCXML source code view and live editing](Doc/LiveScxmlEdit.md) - Projects - [Building a Project](Doc/ProjectBuild.md) - [Visual State Chart Splitting](Doc/VisualStateChartSplitting.md) - [Conditional Project Definitions](Doc/ConditionalDefines.md) - State chart - Interface - [SCXML Structure View](Doc/ScxmlStructureView.md) - Side toolbar - Tool (bookmarks) panel - Shapes panel - Chart design panel - States and children (Shapes) - [Transitions (Connections)](Doc/Transitions.md) - [Smart Switch Transitions](Doc/SmartSwitchTransitions.md) - [Inheritance](Doc/Inheritance.md) - [DOT-based autolayout](Doc/DotBasedAutoLayout.md#dot-based-auto-layout) - [Imports](Doc/ImportStateCharts.md) - [Import from QtCreator state charts](Doc/ImportStateCharts.md) - [Import from ScxmlGui (by fmorbini) state charts](Doc/ImportStateCharts.md#import-from-scxmlgui-by-fmorbini-state-charts) - Exports - [Convert SCXML to DOT](Doc/DotBasedAutoLayout.md#how-to-convert-scxml-to-dot) - [Export SCXML to SVG](Doc/ExportScxmlToSVG.md) - Run and Debug - [How to debug SCXML statecharts](Doc/DebugScxmlStateCharts.md) - [Qt SCXML framework debugging](Include/README.md) - [Qt SCXML Monitors (UDP, SVG)](Include/README.md) ## Creating SCXML charts ### Creating a unit **Unit** is a single scxml chart. It is mostly used for simple charts without invokable sessions. Select **File**->**New Unit** or press **Shift+Ctrl+N** ![new_unit](Images/Tutorial_NewUnit.gif) ### Creating a project **Project** is the most preferred choice of designing scxml charts to get all benefits (custom triggers, nested scxml charts, etc.) Select **File**->**New Project** or press **Ctrl+N** ![new_project](Images/Tutorial_NewProject.gif) ## Editing SCXML charts **ScxmlEditor** provides a project wizard for opening scxml. It supports either opening files with metainformation about the position of states and transitions or plain scxml files. You can use **ScxmlEditor** to add states and transitions to the chart. You can add executable content to a state chart to enable the state machine to modify its data model and to interact with external entities. 1. Select **File**->**Open Unit** or press **Shift+Ctrl+O** (for all types of .scxml files) 2. Select **File**->**Open Project** or press **Ctrl+O** (for ScxmlEditor .sproj files) ### [Property inspector](Doc/PropertyInspector.md) Is used to edit and examine the properties of the currently selected states, executable contents and transitions. ![2018-09-26 09 50 33](https://user-images.githubusercontent.com/18611095/46062582-eeb3e680-c172-11e8-993b-cedbc270894d.png) ### Editor tabs Are used to add scxml elements, zoom, align, change chart visual options, etc. ![2018-09-26 09 50 33](https://user-images.githubusercontent.com/18611095/46062784-8c0f1a80-c173-11e8-8fca-8937b9b0b721.png) ### NEW! [IDE Insight](Doc/IDEInsight.md) Press **'Ctrl+.'** to call **IDE Insight dialog** where you may search for all actions through the application. Add shapes, edit properties in one place! ![ide_insight](Images/IDE_Insight_Demo.gif) ### Structure View with quick search ![StructureViewSearch](Images/StructureView_Search.png) ## [Debugging](Doc/DebugScxmlStateCharts.md) **ScxmlEditor** has an ability to receive and send string UDP commands: <br/> ### Receive API: - `@@@` - clear highlighted states in all statecharts - `@@@ScxmlName` - clear highlighted states in statechart where [\<scxml\>](https://alexzhornyak.github.io/SCXML-tutorial/Doc/scxml.html) 'name' is equal `ScxmlName` - `Type@ScxmlName@Msg@Id` - commands to highlight state or display message in **CallStack** panel <br/> **Description:** `Type` - integer type of command: `1 - AfterEnter, 2 - BeforeEnter, 3 - AfterExit, 4 - BeforeExit, 5 - Step, 6 - BeforeExecContent, 7 - AfterExecContent, 8 - BeforeInvoke, 9 - AfterInvoke, 10 - BeforeUnInvoke, 11 - AfterUnInvoke, 12 - BeforeTakingTransition, 13 - AfterTakingTransition, 14 - StableConfiguration, 15 - BeforeProcessingEvent` <br/> `ScxmlName` - name of [\<scxml\>](https://alexzhornyak.github.io/SCXML-tutorial/Doc/scxml.html) <br/> `Msg` - message which depends on type of command. For example: for **BeforeEnter** or **BeforeExit** - it is the id(name) of states, for **BeforeInvoke** or **BeforeUnInvoke** it is the name of invoked element, etc. </br> `Id` - [identifier of the invoked](https://alexzhornyak.github.io/SCXML-tutorial/Doc/invoke.html#id) state machine (Since ScxmlEditor 2.2). Can be empty for root machines > **BeforeEnter** graphically highlight and **BeforeExit** unhighlight the corresponding states, other commands are displayed in **CallStack** panel #### Example of commands: - `2@CalculatorStateMachine@operand1` - highlight state `operand1` in statechart **CalculatorStateMachine** <br/> - `4@CalculatorStateMachine@operand1` - unhighlight state `operand1` in statechart **CalculatorStateMachine** <br/> - `2@ScxmlSub1@isSub1@ID_SUB_1` - highlight state `isSub1` in statechart **ScxmlSub1** when [invoke Id](Doc/DebugScxmlStateCharts.md#how-to-debug-multiple-invoked-state-machines) is `ID_SUB_1` <br/> You can also [trace the execution of the chart](Doc/DebugScxmlStateCharts.md#trace-mode) and use [breakpoints](Doc/DebugScxmlStateCharts.md#breakpoints). ### Local debugging ScxmlEditor starts a testing application, intercepts its command line output and may communicate in two modes: - [**UDP mode**](Doc/DebugScxmlStateCharts.md#receive-api) (receives UDP commands and sends events as UDP packages to testing application) - [**Pipes mode (since version 2.1.8)**](Doc/DebugScxmlStateCharts.md#custom-testing-application-setup) (capture enter-exit events from console output by regexp, and submit trigger event to state machine to console input) There are two ready-to-use testing applications: 1. Based on [USCXML framework](https://github.com/tklab-tud/uscxml). Supports **null, lua, ecmascript** datamodels 2. Based on [Qt SCXML framework](https://doc.qt.io/qt-5/qtscxml-overview.html) Supports **null, ecmascript** datamodels Also you may write your own testing application using the corresponding API ### External debugging In this mode ScxmlEditor only listens UDP commands for highlighting states and displaying messages in CallStack panel ### Breakpoints ![BreakpointsImage](Images/Breakpoints.gif) ## [Qt SCXML framework debugging](Include/README.md) ### NEW! [Qt SCXML Debug Via SVG](Include/README.md) It was an old dream to monitor state machine workflow without any external dependencies in Qt and finally it comes true. </b> We prepared some native SCXML SVG monitors: - [scxmlsvgview.h](Include/scxmlsvgview.h) - for widgets (based on QGraphicsView) - see how to use it in [Dining Philosophers Example](https://github.com/alexzhornyak/SCXML-tutorial/tree/master/Examples/Qt/DiningPhilosophers) - [scxmlsvgqmlitem.h](Include/scxmlsvgqmlitem.h) - for QML (based on QQuickPaintedItem) - see how to use it in [Stopwatch Example](https://github.com/alexzhornyak/SCXML-tutorial/tree/master/Examples/Qt/StopWatch) ![StopWatchDemo](Images/StopWatch_SvgMonitor.gif) Since ScxmlEditor 2.2.1 you can export SCXML to SVG, include only monitor headers in your app and create monitor instances any time. > **NOTICE:** While state machine pointer is not set, the monitor **does nothing** and can be left in **Release**. ### Qt SCXML External Debugging with ScxmlEditor For Qt SCXML applications you may include [scxmlexternmonitor2.h](Include/scxmlexternmonitor2.h) header to your project and follow [the instructions](Include/README.md) #### Example of debugging Qt Calculator-QML project ![MonitorQML1](Images/ExternMonitor_QML1.png) 1. Select **Run**->**Start listening from external application** 2. Select **Run**->**Run** 3. Launch **Calculator-QML.exe** 4. Use **Pause** for tracing (optionally) ![CalculatorDebug](Images/CalculatorDebug.gif) | [TOP](#top-anchor) | [Contents](#table-of-contents) | [SCXML Wiki](https://alexzhornyak.github.io/SCXML-tutorial/) | [SCXML Examples](https://alexzhornyak.github.io/SCXML-tutorial/Examples/) | [Forum](https://github.com/alexzhornyak/ScxmlEditor-Tutorial/discussions) | |---|---|---|---|---|
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packages/utils/README.md
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packages/utils/README.md
esuca/archimedes-js
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# `@archimedes/utils` Different utilities to use: - Maybe - HttpClient - Datetime - ExtendedError - IsPromise - Observer ## Usage `npm i @archimedes/utils -SE`
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diable201/WEB-Project
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diable201/WEB-Project
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# Web Project - Movie Reviews ![Screen](assets/Homepage.png) ## About Project Team project for Web Development subject at KBTU (spring 2021). Project - Web Site for Movie Reviews. We have: * Homepage * Movie Detail page * Login page * JWT tokens * Comments * Django implementations * Mysql implementations ## Movie Detail Page Example ![Screen](assets/Movie%20Details.png) ## Frontend: Angular, TypeScript, HTML, CSS ## Backend: Python, Framework Django 2 ## Getting Started ### Angular Side 1. Clone this `repo` ``` Shell $ git clone https://github.com/diable201/WEB-Project.git ``` 2. Inside `Frontend` folder run the command for installing dependencies ``` Shell $ nmp install ``` ### Django Side 3. Install `virtualvenv` if you don't have it ``` Shell $ pip install virtualenv ``` 4. Create virtualenv ``` Shell $ virtualenv venv ``` 5. Activate virtualenv ``` Shell $ source venv/bin/activate ``` 6. Then can install all the required dependencies: ``` Shell $ cd Backend $ pip install -r requirements.txt ``` ## Run The App To start the backend django server run ``` Shell python manage.py runserver ``` From the `Backend` folder. Server will be running on `http://localhost:8000/` To start the frontend angular app run ``` Shell ng serve -o ``` From the `Frontend` folder. Client will be running on `http://localhost:4200/` ## Team members | Surname | Name | Github | | :-----------: |:-------------:| :-------------: | | Seitbekov | Sanzhar | [Click Here](https://github.com/diable201) | | Sagynbayev | Almaz | [Click Here](https://github.com/sagynbayev) | | Sarsengaliyev | Zhaisan | [Click Here](https://github.com/Zhaisan) | ## License This repository is released under the [MIT license](LICENSE.md). In short, this means you are free to use this software in any personal, open-source or commercial projects. Attribution is optional but appreciated.
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docs/confreg/integrations.md
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docs/confreg/integrations.md
bradfordboyle/pgeu-system
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# Integrations A couple of external systems can be integrated with the conference system. The following terms are used when setting this system up: [Messaging Implementation](#implementation) : This is the "driver" for different types of messaging systems that can be configured, for example "Twitter" or "Telegram". [Messaging Provider](#provider) : This is a configured instance of an implementation, for example "twitter account @xyz" or "mastodon account @abc". Messaging providers are created individually for each *conference series*, as that is normally what maps to an account. For details of how to configure the implementation specific settings, see [Supported implementations](#implementation). [Messaging Configuration](#messaging) : This is the configuration of which features of a *Messaging Provider* that are enabled for a specific conference instance. For some providers it may also include more details settings, such as which channel to use for sending notifications. The following features are currently available, supported by different systems. * [Social broadcasting](#broadcast) * [Attendee only broadcasts](#attendeebroadcast) * [Private notifications](#notifications) * [Organizer notifications](#orgnotifications) To start using the system, first set up messaging providers, and then enable the individual conference messaging features for the conferences. If any [messaging configuration](#messaging) is enabled for a conference that supports wither [Private notifications](#notifications) or [Attendee only broadcasts](#attendeebroadcast), attendees will have the option of connecting their registration with a messaging system in order to receive notifications. ## Social broadcasting <a name="broadcast"></a> The social broadcasting integration supports: * Manually posting to social broadcasting * Posting conference news * Posting confirmed sponsorship benefits * Creating campaigns * Receiving incoming mentions ### Manually posting to social broadcasting As an administrator, the easiest way to post to social broadcasting using the integration is to just add an entry to the table for *Twitter post queue*. This button becomes available from the main dashboard of a conference once the integration has been configured. Only posts which are flagged as *approved* will be posted. All other posts are queued until they are approved. The system also comes with a [mobile website](#mobilesite) specifically to handle moderated postings. ### Posting conference news Conference news is posted when generated. It will contain just the title of the news and a link back to the conference website, same as the RSS system. Note that this is *separate* from reposting [global news](news#global). ### Posting confirmed sponsorship benefits For each [sponsorship benefit](sponsors#benefit) it is possible to define a value for *tweet template*. If included, this will be treated as a jinja template, and whenever the benefit is confirmed a tweet will be generated with that template and sent. Normally this is used for things like "when the logo benefit is confirmed, post a welcome tweet", but it can be used for any defined benefit. ### Receiving incoming mentions When a messaging provider is configured to route incoming messages to a specific conference, they will either be received by webhook or polled at a regular interval, and added to the incoming queue. If the [mobile website](#mobilesite) is used, it can be used to track incoming posts and to either discard or make replies to them. ### Campaigns <a name="campaigns"></a> Automated campaigns of posts can be created. When a campaign is created, a number of posts are automatically created and added to the queue, at a defined interval (including some random portion). The contents of the tweets are based on data in the database. All posts are added as not approved, and thus have to be approved before sending. This also allows the operator to edit the posts and possibly change some of the text to be more specific. A full set of jinja operations are available in the campaigns, and it's possible to do things like define macros, which can make for fairly advanced templates. There can be multiple types of campaigns: #### Approved sessions campaign This creates a campaign with one post for each approved session in the system, filtered by which track the session is on. The template is called with the following variables: session : An object referencing this session. It has access to the same variables as a general template, so it can access for example the speakers information. conference : The current conference object. #### Sample template A sample template for this campaign that shows some variables used: ~~~ {%macro speaker(s)%}{{s}}{%if s.twittername%} ({{s.twittername}}){%endif%}{%endmacro%} Come see {{session.speaker.all()|map("applymacro", "speaker")|join(" and ")}} talk about {{session.title}} #awesome #conference #pgeu ~~~ ### Mobile site <a name="mobilesite"></a> The mobile website will be enabled for administrators if any posting is enabled, and for volunteers specifically if the posting policy allows for volunteers to post. When enabled, a link will show up on the registration page for these users. The link itself uses the registration token, which means that it can be accessed without logging in by somebody who knows the full URL. The reason for this is to let in particular mobile users store it as a bookmark in a browser that cannot easily log in. This of course also means the link has to be treated as secret. The mobile site will both allow a user to make posts, including attaching images. On mobile phones the attach image feature will normally allow images to be taken directly with the camera if wanted, or an image from the local gallery can be uploaded. When a post is made it is entered into the posting queue as unapproved, and will not be posted until it is. Administrators will have the ability to bypass the moderation step and post directly, but in the normal workflow should not. Once a post is queued, it will show up in the moderation queue. Depending on the posting policy, either an administrator or a volunteer can approve posts that are in the queue. Once approved, the scheduled job to post is triggered immediately, so the post will be sent right away- The site will also show a list of all pending mentions of the primary account, and allow the user to either discard them or to reply to them. This way it's intended that all incoming requests will be handled one way or another. The same posting policy as new posts apply, including moderation. While the page is open, a scheduled job will periodically check if a new post has shown up in the queue, and post a notification if it has (provided the user allowed notifications in the browser). ## Attendee only broadcasts <a name="attendeebroadcast"></a> Attendee only broadcasts are broadcasts that are sent through a system to all attendees of a conference, but are not posted publicly. Typical examples of systems for attendee only broadcasts are "telegram chat channel". ### Notification of upcoming sessions 10-15 minutes before each session, a notification is automatically generated for a session that's about to start, letting attendees know which session and in which room. ## Private notifications <a name="notifications"></a> Private notifications can either be manually sent using "send direct message" to the attendee from their registration page, and as a way for parts of the system to generate automatic notifications. Typical examples of systems for private notifications are "twitter direct message" or "telegram chat". ### Sending reminders to speaker just before their presentation If a speaker has registered and connected a messaging system, they will get a direct message sent between 10 and 15 minutes before their presentation (depending on cronjob time) reminding them that their presentation will begin soon, and which room it's in. ## Organizer notifications <a name="orgnotifications"></a> General notifications that are also sent to the notification email address will be posted in this channel. Future enhancements may include being able to interact with such notifications directly, but for now it is a notify-only channel. ## Setting up ### Messaging Providers <a name="provider"></a> To create a new messaging provider, press the New button and select the implementation class. Depending on which implementation is used, it may be possible to enter a Base URL for the provider. For example, for Mastodon multiple different Base URLs can be chosen (for different messaging providers) in order to support multiple instances of Mastodon, but for Twitter only one can be chosen (twitter.com). Once created, the fields should be filled out like: Internal name : This name is used when referencing this provider from the backend interface. This would typically include the name, e.g. "twitter @abc". Public name : This is the name used in public interfaces, such as during the registration process. This would typically be the name of the service, but for services that can have multiple instances (such as Mastodon), it makes sense to also include which instance it is. Active : If this messaging provider is active. Route incoming messages to : If this messaging provider supports receiving incoming messages, this indicates which conference in the series that incoming messages should be routed to. Further fields will be depending on which implementation is used, and should hopefully be mostly self-explaining. ### Messaging configuration <a name="messaging"></a> Once the [messaging providers](#provider) have been set up, each conference gets the ability to configure them. For simple providers, this just means checking the boxes for which features of the provider to enable, such as social broadcast or private notifications. For providers that support *attendee only broadcasts* or *organisation notifications*, it will also be possible to configure these specific channels. The exact details of what is configured and how depends on the provider. ## Supported implementations <a name="implementation"></a> The following implementations are currently supported: ### Twitter The Twitter integration has one Messaging Provider mapping to one twitter account, thereby giving a conference series it's own twitter account, but having conferences in it share (by default). To use the Twitter integration, one must first set up twitter OAuth credentials. This is done by adding an [OAuth](oauth) application, after first registering a Twitter application in the Twitter systems. Once this is done, you can create the Messaging Provider record for each conference series. Other than the normal fields, there will be a button to "Initiate login" which will open Twitter in a new window. At this time, log in with the Twitter account of the conference series, and authorize the just created app. This will give a PIN code back which should be copied and pasted into the field on the Messaging provider configuration. Finally, you can enable or disable the webhook for this messaging provider. Webhook is strongly recommended for any use where the server is publicly available (meaning non-development servers). On the Messaging Configuration for Twitter providers there is no configuration to be done other than checkboxes for which services to enable. ### Telegram The Telegram integration has one Messaging Provider mapping to one *bot* in Telegram. This bot must be created manually from a regular Telegram account, using the telegram *Botfather*. To create a bot, look up *Botfather* in the global directory and send a private chat with the text `/newbot`. Give the bot a name representative of the conference series, and a username that makes sense under the same rules (and ending in *_bot* per the requirements of bots). If you want the bot to be able to work in groups (and not just chats), you need to disable privacy so that the bot can see all messages posted in the channel. When you have entered these two the bot is created and the *Botfather* will give you an access token. Create the Messaging Provider in the system, and paste the token in the configuration. As long as the system is installed on a server that's public (typically everything except developer installs) it's strongly recommended to use webhooks to communicate with Telegram. Just click the button to *Enable webhooks* and the system will be fully configured. ### Mastodon The Twitter integration has one Messaging Provider mapping to one Mastodon account, thereby giving a conference series it's own Mastodon account, but having conferences in it share (by default). The Mastodon integration supports multiple different Mastodon instances, but will default to https://mastodon.social/. To use the Mastodon integration, one must first set up an [OAuth application](oauth). Once this is done, you can create the Messaging Provider record for each conference series. Other than the normal fields, there will be a button to "Initiate login" which will open Mastodon in a new window. At this time, log in with the Twitter account of the conference series, and authorize the just created app. This will give a PIN code back which should be copied and pasted into the field on the Messaging provider configuration. On the Messaging Configuration for Mastodon providers there is no configuration to be done other than checkboxes for which services to enable.
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luisrei/ship-telecom-basestation
bcb372825f601f9121bd8af07079a171e1357297
[ "MIT" ]
null
null
null
README.md
luisrei/ship-telecom-basestation
bcb372825f601f9121bd8af07079a171e1357297
[ "MIT" ]
null
null
null
README.md
luisrei/ship-telecom-basestation
bcb372825f601f9121bd8af07079a171e1357297
[ "MIT" ]
null
null
null
# ship-telecom-basestation Management of an engineering project from conceptualization to delivery. The use of mobile phones and tablets has become very ubiquitous these days, not only for voice communications, but also for Internet access. People expect to use these devices in any location, regardless of where they are, which imposes challenges to many organisations. Cruise ships are among the “special” locations that need to accommodate communication capabilities for passengers, namely mobile cellular communications and Wi-Fi. For the former, there are international operators that are licenced to provide services when the ships are cruising at sea, but not on ports, where interference with local operators would create problems; these international operators also provide the Wi-Fi service on board. The communications in between the ship and the “outside world” are done via satellite systems. The project is the installation of cellular communications base stations and Wi-Fi access points in a cruise ship for an international operator. We play the role of Project Leader from the Project Development Department of the operator.
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srfdata/unitj
5c0f77fcfecb1a9cece964e6298363d5f0c0ec32
[ "MIT" ]
3
2016-10-28T10:15:39.000Z
2017-06-01T14:49:44.000Z
ideas.md
srfdata/editors-lab-drdj
5c0f77fcfecb1a9cece964e6298363d5f0c0ec32
[ "MIT" ]
1
2016-10-28T10:17:21.000Z
2016-10-28T10:17:21.000Z
ideas.md
srfdata/editors-lab-drdj
5c0f77fcfecb1a9cece964e6298363d5f0c0ec32
[ "MIT" ]
null
null
null
# Additional ideas (Barcamp) * Use of deep learning algorithm to classify names, addresses, etc. * Preview of source file content after loading * In graph view: show first entry on each node * Save and load operations for the graph * First convert source file to new structure, before loading into master sheet. * If you import a file a second time, write/rewrite only rows with modifications * Store source sheet id into a row of the master sheet * Create a backup on google drive or outside.
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doc/README.vanilla.md
treadstoneproject/PF_RING
745eb3d297c0d72a0b2df9b9215097552d1cc3eb
[ "Apache-2.0" ]
null
null
null
doc/README.vanilla.md
treadstoneproject/PF_RING
745eb3d297c0d72a0b2df9b9215097552d1cc3eb
[ "Apache-2.0" ]
null
null
null
doc/README.vanilla.md
treadstoneproject/PF_RING
745eb3d297c0d72a0b2df9b9215097552d1cc3eb
[ "Apache-2.0" ]
null
null
null
# Vanilla PF_RING Vanilla PF_RING consists of: 1. The accelerated kernel module that provides low-level packet copying into the PF_RING rings. 2. The user-space PF_RING SDK that provides transparent PF_RING-support to user-space applications. PF_RING implements a socket type on which user-space applications can speak with the PF_RING kernel module. Applications can obtain a PF_RING handle, and issue API calls that are described later in this manual. A handle can be bound to a: 1. Physical network interface. 2. A RX queue, only on multi-queue network adapters. 3. To the ‘any’ virtual interface that means packets received/sent on all system interfaces are accepted. As specified above, packets are read from a memory ring allocated at creation time. Incoming packets are copied by the kernel module to the ring, and read by the user-space applications. No per-packet memory allocation/deallocation is performed. Once a packet has been read from the ring, the space used in the ring for storing the packet just read will be used for accommodating future packets. This means that applications willing to keep a packet archive, must store themselves the packets just read as the PF_RING will not preserve them. ## Packet Filtering PF_RING supports both legacy BPF filters (i.e. those supported by pcap-based applications such as tcpdump), and also two additional types of filters (named wildcard and precise filters, depending on the fact that some or all filter elements are specified) that provide developers a wide choice of options. Filters are evaluated inside the PF_RING module thus in kernel. Some modern adapters such as Intel 82599-based or Silicom Redirector NICs, support hardware-based filters that are also supported by PF_RING via specified API calls (e.g. pfring_add_hw_rule). PF_RING filters (except hw filters) can have an action specified, for telling to the PF_RING kernel module what action needs to be performed when a given packet matches the filter. Actions include pass/don’t pass the filter to the user space application, stop evaluating the filter chain, or reflect packet. In PF_RING, packet reflection is the ability to transmit (unmodified) the packet matching the filter onto a network interface (this except the interface on which the packet has been received). The whole reflection functionality is implemented inside the PF_RING kernel module, and the only activity requested to the user-space application is the filter specification without any further packet processing. ## Packet Clustering PF_RING can also increase the performance of packet capture applications by implementing two mechanisms named balancing and clustering. These mechanisms allow applications, willing to partition the set of packets to process, to handle a portion of the whole packet stream while sending all the remaining packets to the other members of the cluster. This means that different applications opening PF_RING sockets can bind them to a specific cluster Id (via pfring_set_cluster) for joining the forces and each analyze a portion of the packets. The way packets are partitioned across cluster sockets is specified in the cluster policy that can be either per-flow (i.e. all the packets belonging to the same tuple <proto, ip src/dst, port src/dst>) that is the default or round-robin. This means that if you select per-flow balancing, all the packets belonging to the same flow (i.e. the 5-tuple specified above) will go to the same application, whereas with round-robin all the apps will receive the same amount of packets but there is no guarantee that packets belonging to the same queue will be received by a single application. So in one hand per-flow balancing allows you to preserve the application logic as in this case the application will receive a subset of all packets but this traffic will be consistent. On the other hand if you have a specific flow that takes most of the traffic, then the application that will handle such flow will be over-flooded by packets and thus the traffic will not be heavily balanced.
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datafor123/datafor123.github.io
6566981d681199531011064e43ac9eebd2207351
[ "MIT", "BSD-3-Clause" ]
null
null
null
pages/mydoc/visualization/tianjiazhujian.md
datafor123/datafor123.github.io
6566981d681199531011064e43ac9eebd2207351
[ "MIT", "BSD-3-Clause" ]
5
2020-02-25T15:55:56.000Z
2022-02-26T04:39:45.000Z
pages/mydoc/visualization/tianjiazhujian.md
datafor123/datafor123.github.io
6566981d681199531011064e43ac9eebd2207351
[ "MIT", "BSD-3-Clause" ]
4
2019-07-09T05:24:31.000Z
2022-03-29T09:03:44.000Z
--- title: 将图表,控件和其他组件添加到页面中 tags: [创建] last_updated: 2018年12月28日 keywords: sidebar: mydoc_sidebar permalink: tianjiazhujian.html folder: mydoc --- ### 将图表添加到报告中 图表可以直观地显示您的数据。Datafor随附了许多预配置的图表,您可以将其添加到报表中,然后根据需要进行自定义。 要将图表添加到当前页面: 1. 编辑您的文档。 2. 在页面属性面板的“组件”标签页中,点击要添加的图表的图标 3. 在画布中拖放以创建新图表。 4. 选择一个或多个图表以根据需要移动或调整它们的大小。 ![1](../../../images/1-1575353498948.gif) ### 向图表添加数据 1. 选择一个图表或控件。 2. 确保已选择“数据”选项卡。 3. 在“分析模型”框中选择多维分析模型(Mondrian Schema)。 4. 在其它数据框中添加合适的维度和度量字段。 ![2](../../../images/2-1575353511175.gif) ### 替换图表中的字段 1. 选择一个图表或控件。 2. 确保已选择“数据”选项卡。 3. 点击数据框中的字段,重新选择字段 ### 从图表中删除字段 1. 选择一个图表或控件。 2. 确保已选择“数据”选项卡。 3. 将鼠标悬停在要删除的字段上。 4. 字段名的右侧,单击**X**。 ### 调整组件的位置和大小 - 当您在画布上放置新组件,可以使用鼠标或键盘移动它们。 - 可以使用Ctrl键和鼠标选中多个组件,或用鼠标拖动选中多个组件。 - 可以通过工具栏上的“宽”和“高”输入框,输入像素值调整组件大小。 ![3](../../../images/3-1575353524332.gif) ### 改变/切换图表 使用工具栏上的“图表切换”按钮,可以在图表类型中切换。这使您可以使用不同的可视化技术查看数据的外观,选中最合适的图表类型展示数据。切换过程中,根据图表的特性,在数据标签页中保留可以使用的维度和度量字段。 ### 编辑图表的样式 在组件属性面板的“样式"标签页中调整组件样式。通过组件样式面板,您可以控制组件的外观,包括字体和背景色,边框阴影,网格显示、轴标签等。 ​ ![4](../../../images/4-1575353536469.gif) ### 设置组件”行为“ 在组件属性面板的“行为”标签页中,您可以设置数据图表的数据更新周期,图表的交互行为,并在图表事件中插入自定义程序,实现更高级的可视化与分析。
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README.md
mkrecek234/validate
b19a2cc70074882708dc4bb300c883fe24b32596
[ "MIT" ]
4
2018-12-13T22:09:36.000Z
2020-04-20T20:44:00.000Z
README.md
mkrecek234/validate
b19a2cc70074882708dc4bb300c883fe24b32596
[ "MIT" ]
4
2019-02-18T20:43:32.000Z
2022-02-06T15:13:09.000Z
README.md
mkrecek234/validate
b19a2cc70074882708dc4bb300c883fe24b32596
[ "MIT" ]
2
2019-02-09T00:23:29.000Z
2021-11-09T21:44:18.000Z
# Validator for Agile Data This is validator add-on for Agile Data (https://github.com/atk4/data). It uses https://github.com/vlucas/valitron under the hood. [![Build Status](https://travis-ci.org/atk4/validate.png?branch=develop)](https://travis-ci.org/atk4/validate) [![Code Climate](https://codeclimate.com/github/atk4/validate/badges/gpa.svg)](https://codeclimate.com/github/atk4/validate) [![StyleCI](https://styleci.io/repos/161695320/shield)](https://styleci.io/repos/161695320) [![CodeCov](https://codecov.io/gh/atk4/validate/branch/develop/graph/badge.svg)](https://codecov.io/gh/atk4/validate) [![Test Coverage](https://codeclimate.com/github/atk4/validate/badges/coverage.svg)](https://codeclimate.com/github/atk4/validate/coverage) [![Issue Count](https://codeclimate.com/github/atk4/validate/badges/issue_count.svg)](https://codeclimate.com/github/atk4/validate) [![License](https://poser.pugx.org/atk4/validate/license)](https://packagist.org/packages/atk4/validate) [![GitHub release](https://img.shields.io/github/release/atk4/validate.svg?maxAge=2592000)](CHANGELOG.md) # Usage ``` php // add model fields $model->addField('name'); $model->addField('age', ['type' => 'number']); $model->addField('type', ['required' => true, 'enum' => ['dog', 'ball']]); $model->addField('tail_length', ['type' => 'number']); // add validator to your model // also will register itself as $model->validator property $v = new \Atk4\Validate\Validator($model); // set simple validation rule for one field // ->rule($field, $rules) $v->rule('name', [ 'required', ['lengthMin', 3] ]); // set multiple validation rules in one shot // ->rules($array_of_rules) // [field=>rules] $v->rules([ 'name' => ['required', ['lengthMin',3]], 'age' => ['integer', ['min',0], ['max',99]], 'tail_length' => ['integer', ['min',0]], ]); // set validation rules based on value of another field // if type=dog, then sets fields age and tail_length as required // ->if($condition, $then_array_of_rules, $else_array_of_rules) $v->if(['type'=>'dog'], [ 'age' => ['required'], 'tail_length' => ['required'], ], [ 'tail_length' => [ ['equals',''] ], // balls don't have tail ]); // you can also pass multiple conditions which will be treated as AND conditions $v->if(['type'=>'dog', 'age'=>50], $rules_if_true, $rules_if_false); // you can also set custom error message like this: $v->rule('age', [ ['min', 3, 'message'=>'Common! {field} to small'] ]); // and you will get this "Common! Age to small" ``` You can also pass callback instead of array of rules. Callback receives these parameters $field, $value, $args, $data and should return true/false. See `/tests` folder for more examples.
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tests/debugging/README.md
dmey/minimal-dx
76ae508a2fb0615b5c32aa65a4d51ba4e026e1fc
[ "MIT" ]
1
2019-12-04T14:46:36.000Z
2019-12-04T14:46:36.000Z
tests/debugging/README.md
dmey/minimal-dx
76ae508a2fb0615b5c32aa65a4d51ba4e026e1fc
[ "MIT" ]
null
null
null
tests/debugging/README.md
dmey/minimal-dx
76ae508a2fb0615b5c32aa65a4d51ba4e026e1fc
[ "MIT" ]
null
null
null
Contains a very simple program used as entry point to MinimalDX and EnergyPlus functions. Used for debugging purposes only.
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articles/iot-hub/iot-hub-devguide-messages-construct.md
md2perpe/azure-docs.sv-se
64bdd85952bc1d194f86a3a80e616ca967bb6235
[ "CC-BY-4.0", "MIT" ]
null
null
null
articles/iot-hub/iot-hub-devguide-messages-construct.md
md2perpe/azure-docs.sv-se
64bdd85952bc1d194f86a3a80e616ca967bb6235
[ "CC-BY-4.0", "MIT" ]
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articles/iot-hub/iot-hub-devguide-messages-construct.md
md2perpe/azure-docs.sv-se
64bdd85952bc1d194f86a3a80e616ca967bb6235
[ "CC-BY-4.0", "MIT" ]
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null
--- title: Förstå Azure IoT Hub-meddelandeformat | Microsoft Docs description: Utvecklarguide – beskriver format och förväntade innehållet i meddelanden från IoT Hub. author: ash2017 manager: briz ms.service: iot-hub services: iot-hub ms.topic: conceptual ms.date: 08/13/2018 ms.author: asrastog ms.openlocfilehash: e2aafa195fa463a405e2132cd41fada8d6903961 ms.sourcegitcommit: f56b267b11f23ac8f6284bb662b38c7a8336e99b ms.translationtype: MT ms.contentlocale: sv-SE ms.lasthandoff: 06/28/2019 ms.locfileid: "67450086" --- # <a name="create-and-read-iot-hub-messages"></a>Skapa och läsa IoT Hub-meddelanden Om du vill ha stöd för smidig samverkan mellan protokoll, definierar IoT Hub ett vanliga meddelandeformat för alla protokoll för webbservergrupper på enheten. Meddelanden i formatet används för både [enhet till moln routning](iot-hub-devguide-messages-d2c.md) och [moln till enhet](iot-hub-devguide-messages-c2d.md) meddelanden. [!INCLUDE [iot-hub-basic](../../includes/iot-hub-basic-partial.md)] IoT Hub implementerar enhet-till-moln-meddelanden med hjälp av en strömmande meddelandemönster. Meddelanden från IoT Hub-enhet till molnet är mer som [Händelsehubbar](/azure/event-hubs/) *händelser* än [Service Bus](/azure/service-bus-messaging/) *meddelanden* eftersom det finns en stor volym händelser som passerar genom den tjänst som kan läsas av flera läsare. En IoT Hub-meddelande består av: * En förutbestämd uppsättning *Systemegenskaper* enligt nedan. * En uppsättning *programegenskaper*. En ordlista med egenskaper för anslutningssträngar som programmet kan definiera och åtkomst, utan att behöva deserialisera meddelandetexten. IoT Hub ändrar aldrig de här egenskaperna. * En täckande binära brödtext. Egenskapsnamn och värden får bara innehålla alfanumeriska ASCII-tecken, plus ``{'!', '#', '$', '%, '&', ''', '*', '+', '-', '.', '^', '_', '`', '|', '~'}`` när du skickar meddelanden från enheten till molnet med hjälp av HTTPS-protokollet eller skicka meddelanden från molnet till enheten. Meddelanden med IoT Hub enhet-till-molnet har följande egenskaper: * Meddelanden från enheten till molnet är hållbar och sparade i en IoT-hubb standard **meddelanden/händelser** slutpunkt för upp till sju dagar. * Meddelanden från enheten till molnet får innehålla högst 256 KB och kan grupperas i batchar att optimera skickar. Batchar får innehålla högst 256 KB. * IoT Hub tillåter inte godtyckliga partitionering. Meddelanden från enheten till molnet partitioneras baserat på deras ursprung **deviceId**. * Enligt beskrivningen i [styra åtkomsten till IoT Hub](iot-hub-devguide-security.md), IoT Hub kan per enhet autentisering och åtkomstkontroll. * Du kan stämpel meddelanden med information som hamnar i Egenskaper för program. Mer information finns i [meddelande enrichments](iot-hub-message-enrichments-overview.md). Läs mer om hur du kodar och avkodar meddelandena som skickas med olika protokoll, [Azure IoT SDK: er](iot-hub-devguide-sdks.md). I följande tabell visar uppsättningen Systemegenskaper i IoT Hub-meddelanden. | Egenskap | Beskrivning | Är användare inställbar? | | --- | --- | --- | | message-id |En användare inställbar identifierare för meddelandet som används för begäran / svar-mönster. Format: En skiftlägeskänslig sträng (upp till 128 tecken) med ASCII 7 bitar alfanumeriska tecken + `{'-', ':', '.', '+', '%', '_', '#', '*', '?', '!', '(', ')', ',', '=', '@', ';', '$', '''}`. | Ja | | sekvensnummer |Ett tal (unika per enhet kö) IoT Hub har tilldelats varje moln-till-enhet-meddelande. | Nej för C2D-meddelanden. Ja annars. | | till |Ett mål som anges i [moln till enhet](iot-hub-devguide-c2d-guidance.md) meddelanden. | Nej för C2D-meddelanden. Ja annars. | | absolute-expiry-time |Datum och tid för förfallodatum för meddelanden. | Ja | | iothub-enqueuedtime |Datum och tid i [enhet till moln](iot-hub-devguide-d2c-guidance.md) meddelande togs emot av IoT Hub. | Nej för D2C-meddelanden. Ja annars. | | Korrelations-id |En strängegenskap i ett svarsmeddelande som vanligtvis innehåller meddelande-ID för begäran i begäran / svar-mönster. | Ja | | användar-id |Ett ID som används för att ange ursprunget av meddelanden. När meddelanden genereras av IoT Hub, den är inställd på `{iot hub name}`. | Nej | | iothub-ack |En feedback meddelande generator. Den här egenskapen används i meddelanden från moln till enhet för att begära IoT Hub för att generera meddelanden på grund av användningen av meddelandet av enheten. Möjliga värden: **ingen** (standard): ingen feedback meddelande genereras **positivt**: meddelandet feedback om meddelandet har slutförts, **negativt**: ta emot en feedback-meddelande om meddelandet har gått ut (eller har nått maximalt antal leveranser) utan håller på att slutföras av enheten, eller **fullständig**: både positiva och negativa. <!-- robinsh For more information, see [Message feedback][lnk-feedback].--> | Ja | | iothub-connection-device-id |Ett ID som angetts av IoT Hub på meddelanden från enheten till molnet. Den innehåller den **deviceId** på den enhet som skickade meddelandet. | Nej för D2C-meddelanden. Ja annars. | | iothub-connection-auth-generation-id |Ett ID som angetts av IoT Hub på meddelanden från enheten till molnet. Den innehåller den **generationId** (enligt [identitet enhetsegenskaper](iot-hub-devguide-identity-registry.md#device-identity-properties)) på den enhet som skickade meddelandet. | Nej för D2C-meddelanden. Ja annars. | | iothub-connection-auth-method |En autentiseringsmetod som angetts av IoT Hub på meddelanden från enheten till molnet. Den här egenskapen innehåller information om den autentiseringsmetod som används för att autentisera den enhet som skickar meddelandet. <!-- ROBINSH For more information, see [Device to cloud anti-spoofing][lnk-antispoofing].--> | Nej för D2C-meddelanden. Ja annars. | | iothub-creation-time-utc | Datum och tidpunkt som meddelandet skapades på en enhet. En enhet måste ange ett explicit värde. | Ja | ## <a name="message-size"></a>Meddelandestorlek IoT Hub mäter meddelandestorlek på ett protokoll-oberoende sätt, överväger bara den faktiska nyttolasten. Storlek i byte beräknas som summan av följande: * Brödtext storlek i byte. * Storlek i byte för alla värden i systemet meddelandeegenskaper. * Storlek i byte för alla användare egenskapsnamn och värden. Egenskapsnamn och värden är begränsade till ASCII-tecken så lång strängarna är lika storlek i byte. ## <a name="anti-spoofing-properties"></a>Egenskaper för skydd mot förfalskning För att undvika enheten förfalskning i meddelanden från enheten till molnet, IoT Hub stämplar alla meddelanden med följande egenskaper: * **iothub-connection-device-id** * **iothub-connection-auth-generation-id** * **iothub-connection-auth-method** De första två innehåller den **deviceId** och **generationId** för den ursprungliga enheten enligt [identitet enhetsegenskaper](iot-hub-devguide-identity-registry.md#device-identity-properties). Den **iothub--auth-anslutningsmetoden** egenskapen innehåller ett JSON-serialiserat objekt med följande egenskaper: ```json { "scope": "{ hub | device }", "type": "{ symkey | sas | x509 }", "issuer": "iothub" } ``` ## <a name="next-steps"></a>Nästa steg * Information om begränsningar för meddelandestorlek i IoT Hub finns i [IoT Hub-kvoter och begränsningar](iot-hub-devguide-quotas-throttling.md). * Information om hur du skapar och läsa IoT Hub-meddelanden i olika programmeringsspråk, finns det [Snabbstarter](quickstart-send-telemetry-node.md).
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--- layout: post title: Citation date: 2013-07-21 09:06:39.000000000 +02:00 categories: - Citations tags: [] status: publish type: post published: true meta: _edit_last: '2' author: first_name: Nico excerpt: --- <p>« Si vous voulez être heureux, soyez-le. »</p> <p>[ <em>Léon Tolstoï</em> ]</p> <p>&nbsp;</p>
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--- layout: default img: cka.jpg category: Services title: Certified Kubernetes Administrator description: | --- Successfully completed the certificate. Interesting concept and good tasks in the exam.
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_publications/wagoner_et_al_2021a.md
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_publications/wagoner_et_al_2021a.md
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2020-08-30T18:47:07.000Z
2020-08-30T18:47:07.000Z
--- title: 'Linear Systematics Mitigation in Galaxy Clustering in the Dark Energy Survey Year 1 Data' collection: publications authorlist: __Erika L. Wagoner__, Eduardo Rozo, Xiao Fang _et al_ authorlist_long: Erika L. Wagoner; Eduardo Rozo; Xiao Fang; Martín Crocce; Jack Elvin‑Poole; Noah Weaverdyck excerpt: 'We implement a linear model for mitigating the effect of observing conditions and other sources of contamination in galaxy clustering analyses. Our treatment improves upon the fiducial systematics treatment of the Dark Energy Survey (DES) Year 1 (Y1) cosmology analysis in four crucial ways. Specifically, our treatment: 1) does not require decisions as to which observable systematics are significant and which are not, allowing for the possibility of multiple maps adding coherently to give rise to significant bias even if no single map leads to a significant bias by itself; 2) characterizes both the statistical and systematic uncertainty in our mitigation procedure, allowing us to propagate said uncertainties into the reported cosmological constraints; 3) explicitly exploits the full spatial structure of the galaxy density field to differentiate between cosmology-sourced and systematics-sourced fluctuations within the galaxy density field; 4) is fully automated, and can therefore be trivially applied to any data set. The updated correlation function for the DES Y1 redMaGiC catalog minimally impacts the cosmological posteriors from that analysis. Encouragingly, our analysis does improve the goodness of fit statistic of the DES Y1 3$\times$2pt data set ($\Delta \chi^2 = -6.5$ with no additional parameters). This improvement is due in nearly equal parts to both the change in the correlation function and the added statistical and systematic uncertainties associated with our method. We expect the difference in mitigation techniques to become more important in future work as the size of cosmological data sets grows.' date: 2021-03-10 venue: journal: MNRAS volume: 503 page: 4349-4362 doi: 10.1093/mnras/stab717 arxiv: 2009.10854 bibcode: 2021MNRAS.tmp..704W hdl: ascl: publ: true cite: true --- ***** ### Summary This paper presents the method I helped to develop for mitigating the effect of various observing conditions on galaxy clustering analyses. It results in a slight improvement compared to what was done in the DES Y1 analysis, but there is little change in the recovered cosmological parameters. We point out that we expect this to change when using larger data catalogs in the future. #### Comments Submitted to MNRAS
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_posts/2021-06-03-javascript.md
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_posts/2021-06-03-javascript.md
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_posts/2021-06-03-javascript.md
helloHaneul/helloHaneul.github.io
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--- published: true layout: single title: "Javascript 시작" category: Javascript tags: comments: true --- React 강좌들으면서 토이프로젝트의 화면을 구성해보았다. 일단 해보니까 확실히 내가 엄청 부족하구나를 더 느낄 수 있었다 하하하ㅏㅏ;;; 너무 거슬러 올라갔나 싶지만 그래도 Javascript 언어 자체에 대해서 돌아보는 시간을 가졌다. 그동안 `ES6에 익숙한 개발자` 도대체 무슨말인가 싶었는데 ES6는 ECMAScript 2015을 의미하는것이고 ECMAScript가 바로 javascript.... 결국은 해당 버전의 Javascript API를 사용해본 경험이 있는지를 확인하는 말이었음.... 이전에(정말 뭣도 모르는 상태에서) 웹 브라우저 환경에서 동작하는 예제를 개발해야해서 javascript로 개발할때 jQuery를 사용했었는데 지금 생각해보면 그때의 나는 jQuery 라이브러리 자체도 거의 javascript로 생각하고 썼던 것 같다. 거기에 어디서 들어는 봤다고 썼던 node.js는 어떠한가.. 그 코드는 돌이켜보기가 무서울 지경인데 나중에 node.js를 공부해볼때 한번 들여다보고 멋지게 재탄생시켜봐야겠다! 그런데 그랬던 것이 불과 몇년전인데 [jQuery가 없어질 위기(?)](https://www.samsungsds.com/kr/insights/jQuery.html)라니... 세상에나 시간이 참 빠르기도 하고 내가 어디에 갇혀있었나 싶기도 하고 참... 과거에 검색에 검색으로 닥치고 기능 구현을 했던 경험이 돌이켜보면 부끄럽기도 하지만 그래도 그때의 경험들 덕분에 지금에 와서 하는 웹개발 공부가 더 재밌게 느껴지는 것 같다. **[공부 사이트, 유익한 컨텐츠 모음]** - [생활코딩 - Javascript 기본1](https://opentutorials.org/course/3085) - [생활코딩 - Javascript 기본2](https://opentutorials.org/course/743/6580)
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src/fj/2020-04/11/06.md
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--- title: Cakacaka Kei Na Dauveiqaravi date: 10/12/2020 --- “A ka kecega sa vakaitavi kina na ligamu, mo kitaka ga ena nomui gu” (Dauvunau 9:10). Na tamata vuku e vakayagataka na veivosa ni vakasala oya me baleta na dauveiqaravi ena veidraki ni bula kecega. Ni tarogi me vosa ena dauveiqaravi ni tamata Lotu Vakarisito, era lewe vuqa era vakaqiqotaka na nodra vakasama ena nodra rawa ka vakailavo na Lotu Vakarisito. E dina ga ni lavo e ka bibi ena vakasama vakadauveiqaravi, ia, ni yalani ga enai lavo sa dua dina na rai qiqo. Ena vakasama vakaisoqosoqo, na dauveiqaravi sa baleta tiko na itavi vakaveiliutaki ena kena tarai cake kei na kena vakayagataki vakamatau na veigacagaca kece e taukeni rawa. Ena loma ni soqosoqo lotu, na cava eso na ka sa vakalougatataki keda kina na Kalou? Ko Pita e vakamatatataka sara vakavinaka ni veitamata yadua e tiko vua nai solisoli e solia na Dauveibuli; qai vakatokai ira na tamata Lotu Vakarisito oqo ni ra “matabete tabu vakaturaga” (1 Pita 2:5) vata kei na nodra itavi vakadauveiqaravi ki Vua na Kalou, me baleta nai solisoli ni Kalou: lavo, gauna, kaukauwa, taledi kei na vuqa tale. `Wilika na Dauvunau 9:10 kei na 1 Koronica 10:31. Nai tukutuku cava e noda ena veitikina oqo ena gaunisala ena dodonu meda cakacaka kina kei na gaunisala meda vakatavulici ira kina na tamata mera cakacaka?` E dua tiko na gogo levu ni bula ena gauna oqo oya nai dre me vakaituvatuva na veiyasa ni bula duidui eda dui taukena. E tikoga na gauna ni cakacaka, na gauna ni bula vakamatavuvale, na gauna ni bula vakayalo ka me dua sara madaga na gauna ni bula ni vakacagicagi. Na sasaga ni kena wasewasei na ivakarau ni bula vakaoqo, oya me na kakua ni na takosovi kina nai tuvatuva sa vakadonui oti tu. Kenai vakaraitaki, ena sega ni vinaka me kau mai ki vale na nona cakacaka e dua me na laki veisaqasaqa tiko kei nai tavi vakamatavuvale. Se na vakasaqarai ni bula galala me vakalailaitaka na noda gauna vata kei na Kalou. Ia, na mataqali lati vaka-koya me kakua ni vakayagataki ena noda bula taucoko vakayalo. Na cakacaka ni tamata Lotu Vakarisito e tubu ena veitauraki kei na cakacaka vata kei na Kalou. Na cakacaka sa dua tiko na sala eda na rawa ni vakatovotovotaka kina na Nona tiko na Kalou ena noda bula. Ni da wasewasea na noda bula vakalotu, yalana na Kalou ki na dua na siga, dua na auwa, se mani dua ga na yasa ni bula, eda sa vakuai Koya na Kalou mai na Nona tiko ena veiyasa ni bula kece oqo. `Rua na taro: Matai, tarogi iko mada se ko wasewasea tiko na nomu bula vakayalo. Karua, ena rawa vakacava me liutaka na nomu bula na veika vakayalo ena veika kece ko cakava?`
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problems/objects/problem.md
Farid212/pythonscripting
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2020-12-04T01:56:18.000Z
2021-01-06T13:19:57.000Z
problems/objects/problem.md
Farid212/pythonscripting
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problems/objects/problem.md
Farid212/pythonscripting
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2020-12-04T01:56:01.000Z
Python is an object oriented programming language. Almost everything in Python is an object, with its properties and methods. A Class is like an object constructor, or a "blueprint" for creating objects. Here is an example: ```py foodPreferences = { pizza = 'yum' salad = 'gross' } ``` ## The challenge: Create a file named `objects.py`. In that file, define a class named `Pizza` like this: ```py pizza = { 'toppings': ['cheese', 'sauce', 'pepperoni'], 'crust': 'deep dish', 'serves': 2 } ``` Use `print()` to print the `pizza` object to the terminal. **Check to see if your program is correct by running this command:** ```bash pythonscripting verify objects.py ```
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irenedutta23/hepaccelerate
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paper/paper.md
irenedutta23/hepaccelerate
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paper/paper.md
irenedutta23/hepaccelerate
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2020-01-15T17:57:47.000Z
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--- title: 'hepaccelerate: Processing Columnar Collider Data with GPU-Accelerated Kernels' tags: - Python - high-energy physics - data analysis authors: - name: Joosep Pata orcid: 0000-0002-5191-5759 affiliation: 1 affiliations: - name: California Institute of Technology index: 1 date: 5 December 2019 bibliography: paper.bib csl: transactions-on-mathematical-software.csl --- # Abstract At high energy physics experiments, processing billions of records of structured numerical data from collider events to a few statistical summaries is a common task. The data processing is typically more complex than standard query languages allow, such that custom numerical codes written in C++ are used. At present, these codes mostly operate on individual event records and are parallelized in multi-step data reduction workflows using batch jobs across CPU farms. Based on a simplified top quark pair analysis with CMS Open Data, we demonstrate that it is possible to carry out significant parts of a collider analysis at a rate of around a million events per second on a single multicore server with optional GPU acceleration directly from Python. This is achieved by representing HEP event data as sparse arrays and by expressing common analysis operations as parallelizable kernels. We find that only a small number of relatively simple functional kernels are needed for a generic yet fast and portable HEP analysis. The approach based on columnar processing of data could speed up and simplify the cycle for delivering physics results at HEP experiments. We release the \texttt{hepaccelerate} prototype library as a demonstrator of such methods. # Introduction At the general-purpose experiments of the Large Hadron Collider such as CMS or ATLAS, the final stage of data processing is typically carried out over several terabytes of numerical data residing on a shared cluster of servers via batch processing. The data consist of columns of physics related variables or features for the recorded particles such as electrons, muons, jets and photons for each event in billions of rows. In addition to the columns of purely kinematic information of particle momentum, typically expressed in spherical coordinates of $p_T$, $\eta$, $\phi$ and $M$, each particle carries a number of features that describe the reconstruction details and other high-level properties of the reconstructed particles. For example, for muons, we might record the number of tracker layers where an associated hit was found, whether or not it reached the outer muon chambers and in simulation the index of the associated generator-level particle, thereby cross-linking two collections. ![The flowchart for an example analysis. In the first stage, done on a weekly basis as new data or simulation samples arrive, the necessary columns from the compressed ROOT files of a few TB are saved to a smaller efficiently decompressable cache to minimize overhead at successive analysis iterations. The size of this cache varies, but is generally around 20-50\% of the original compressed data. In the analysis stage, which is done on an hourly basis, the cache is loaded in batches of a few GB of contiguous 1-dimensional arrays corresponding to sparse event content, with kernels being dispatched on the data either in host or device memory. The final result is a significantly reduced statistical summary of the original data, typically in the form of hundreds of histograms.](plots/flowchart.pdf){ width=8cm } A typical physics analysis at the LHC such as the precision measurement of a particle property or the search for a new physics process involves billions of recorded and simulated events. The final result typically requires tens to hundreds of iterations over this dataset while the analysis is ongoing over a few months to a year. For each iteration of the analysis, hundreds of batch jobs of custom reduction software typically written in C++ for maximum performance is run over these data. These workflows can be complex to maintain, run and debug, with Python offering a simpler way to manage the data analysis workflow as a single program. Recently, heterogeneous and highly parallel computing architectures beyond consumer x86 processors such as GPUs, TPUs and FPGAs have become increasingly prevalent in scientific computing. We investigate the use of array-based computational kernels that are well-suited for parallel architectures for carrying out the final data analysis in HEP. The purpose of the \texttt{hepaccelerate} package is twofold: \begin{itemize} \item to demonstrate and simplify high-performance data analysis with HEP-specific jagged arrays in Python \item to enable the use of multithreaded CPUs and GPUs for processing HEP-specific data \end{itemize} Besides implementing a set of generic kernels for data analysis, we share a prototypical top quark pair analysis involving the selection and calibration of jets in an event, along with the evaluation of a machine learning discriminator. Although we use a specific and relatively simple analysis as an example, the approach based on array computing with accelerated kernels is generic and can be used for other collider analyses. We hope that further work in this direction can lead to end-to-end high-performance data analysis and visualization receiving wider adoption in HEP. In the following paper, we document the approach based on columnar data analysis using vectorizable kernels in more detail. # Data structure We can represent HEP collider data in the form of two-dimensional matrices, where the rows correspond to events and columns correspond to features in the event such as the momentum components of all measured particles. Due to the random nature of the underlying physics processes that produce a varying number of particles per event, the number of features varies from one collider event to another, such that a fixed-size two dimensional representation is not memory-efficient. Therefore, the standard HEP software framework based on ROOT includes mechanisms for representing dynamically-sized arrays as well as complete C++ classes with arbitrary structure as the feature columns, along with a mechanism for serializing and deserializing these dynamic arrays [@Antcheva:2009zz]. Based on the approach first introduced in the [@uproot] and [@awkward] python libraries, many existing HEP data files with a varying number of particles per event can be represented and efficiently loaded as sparse arrays with an underlying one-dimensional array for a single feature. Event boundaries are encoded in an offset array that records the particle count per event. Therefore, the full structure of $N$ events, $M$ particles in total, can be represented by a contiguous offset array of size $N+1$ and a contiguous data array of size $M$ for each particle feature. This can easily be extended to event formats where the event contains particle collections of different types, e.g. jets, electrons and muons. By using the data and offset arrays as the basis for computation, efficient computational kernels can be implemented and evaluated on the data. We illustrate this sparse or jagged data structure on the figure below. ![A visual representation of the jagged data structure of the jet $p_T$, $\eta$ and $\phi$ content in 50 simulated events. On the leftmost figure, we show the number of jets per event, one event per row, derived from the offset array. In the three rightmost columns, we show the jet content in events, visualizing the $p_T$, $\eta$ and $\phi$ of the first 20 jets for each event.](plots/jagged_matrices.pdf){ width=8cm } In practice, analysis-level HEP event data are stored in compressed files of raw columnar features in a so-called ``flat analysis ntuple'' form, implemented via the ROOT library. Out of hundreds of stored features, a typical analysis might use approximately 50 to 100, discarding the rest and only using them rarely for certain auxiliary calibration purposes. When the same features are accessed multiple times, the cost of decompressing the data can be significant, therefore, it is efficient to ensure the input files are compressed with an algorithm such as LZ4, that has a low decompression overhead [@Bockelman_2018]. # Computational kernels In the context of this report, a kernel is a function that is evaluated on the elements of an array to transform the underlying data. A simple kernel could compute the square root of all the values in the array. More complicated kernels such as convolutions might involve relations between neighbouring array elements or involve multiple inputs and outputs of varying sizes. When the individual kernel calls across the data are independent of each other, these kernels can be evaluated in parallel over the data using single-instruction, multiple-data (SIMD) processors. The use of efficient computational kernels with an easy-to-use API has proven to be successful for machine learning frameworks such as \texttt{tensorflow}. Therefore, we propose to implement HEP analyses similarly using common kernels that are steered from a single high-level code. We note that the columnar data analysis approach based on single-threaded kernels is already recognized in HEP [@coffea]. Our contribution is to further extend the computational efficiency and scalability of the kernels to parallel hardware such as multi-threaded CPUs and propose a GPU implementation. In the following, we will demonstrate that by using the data and offset arrays as described in the previous section, common HEP operations can be formulated as kernels and dispatched to the computational hardware, thereby processing the event data in parallel. The central result of this report is that only a small number of simple kernels, easily implemented in e.g. Python or C, are needed to implement a realistic HEP analysis. A prototypical HEP-specific kernel would be to find the scalar sum $H_T=\sum p_T$ over all particles passing some quality criteria in an event. We show the Python implementation for this on the listing below. ```python @numba.njit(parallel=True) def sum_ht( ptdata, offsets, mask_rows, mask_content, out): N = len(offsets) - 1 M = len(ptdata) #loop over events in parallel for iev in prange(N): if not mask_rows[iev]: continue #indices of the particles in this event i0 = offsets[iev] i1 = offsets[iev + 1] #loop over particles in this event for ielem in range(i0, i1): if mask_content[ielem]: out[iev] += ptdata[ielem] ``` This kernel takes as input the $M$-element data array of all particle transverse momenta \texttt{pt\_data} and an $N+1$-element array of the event offsets. In addition, as we wish to include only selected particles in selected events in this analysis, we use an $N$-element boolean mask for events and $M$-element boolean mask for the particles that have passed selection. These masks can be propagated to further functions, making it possible to efficiently chain computations without resorting to data copying. Finally, the output is stored in a pre-allocated array of size $N$. This kernel generically reduces a data array using a pairwise operator $(+)$ within the offsets and can be reused in other cases, such as counting the number of particles per event passing a certain selection. Other kernels that turn out to be useful are related to finding the minimum or maximum value within the offsets or retrieving or setting the $m$-th value of an array within the event offsets. The generic kernels we have implemented for the benchmark top quark pair analysis are the following: \begin{itemize} \item \verb|get_in_offsets|: given jagged data with offsets, retrieves the $n$-th elements for all rows. This can be used to create a contiguous array of e.g. the leading jet $p_T$ for further numerical analysis. \item \verb|set_in_offsets|: as above, but sets the $n$-th element to a value. This can be used to selectively mask objects in a collection, e.g. to select the first two jets ordered by $p_T$. \item \verb|sum_in_offsets|: given jagged data with offsets, calculates the sum of the values within the rows. As we have described above, this can be used to compute a total within events, either to count objects passing selection criteria by summing masks or to compute observables such as $H_T$. \item \verb|max_in_offsets|: as above, but calculates the maximum of the values within rows. \item \verb|min_in_offsets|: as above, but calculates the minimum. \item \verb|fill_histogram|: given a data array, a weight array, histogram bin edges and contents, fills the weighted data to the histogram. This is used to create 1-dimensional histograms that are common in HEP. Extension to multidimensional histograms is straightforward. \item \verb|get_bin_contents|: given a data array and a lookup histogram, retrieves the bin contents corresponding to each data array element. This is used for implementing histogram-based reweighting. \end{itemize} This demonstrates that a small number of dedicated kernels can be used to offload a significant part of the analysis. There are also a number of less generic analysis operations which do not easily decompose into other fundamental array operations, but are still useful for HEP analysis. A particular example would be to find the first two muons of opposite charge in the event, or to perform $\Delta R(\eta, \phi)$-matching between two collections of particles. In the standard approach, the physicist might simply write down procedural code in the form of a nested loop over the particles in the event which is terminated when the matching criterion is satisfied. These functions can similarly be expressed in the form of a dedicated kernels that do a single pass over the data and that are easy to write down as well as debug procedurally for the physicist before being dispatched to parallel processors. We choose to implement these explicitly rather than rely on more general array operations that perform cross-collection joins for execution speed and simplicity of implementation. These specialized kernels are as follows: \begin{itemize} \item \verb|mask_deltar_first|: given two collections of objects, masks all objects in the first collections that are closer than a predefined value in $\Delta R^2 = \Delta \eta^2 + \Delta \phi^2$ to an object in the second collection \item \verb|select_opposite_sign_muons|: given a collection of objects with charge (i.e. muons), masks all but the first two objects ordered by $p_T$ which are of opposite charge \end{itemize} The kernels have been implemented in Python and just-in-time compiled to either multithreaded CPU or GPU (CUDA) code using the Numba package [@Lam:2015:NLP:2833157.2833162]. We have chosen Python and Numba to implement the kernels in the spirit of quickly prototyping this idea in \texttt{hepaccelerate}, but this approach is not restricted to a particular programming environment. The total number of lines of code for both the CPU and GPU implementations of all kernels is approximately 550 for each, reflecting the relative simplicity of the code. We have benchmarked the performance of the kernels on preloaded data on a multicore GPU-equipped workstation\footnote{24 core Intel(R) Xeon(R) CPU E5-2697 v3 @ 2.60GHz, 8x nVidia Geforce GTX 1080 GPUs and networked storage on HDDs using CephFS connected over a 10Gbit/s LAN. We use the Intel distribution of python, numpy and numba for the multithreaded CPU backend and CUDA 10.1 for testing the GPU backend.}. The results are shown on the figure below. ![Benchmarks of the computational kernels. We compare the performance of the kernels on approximately 13 million preloaded events with respect to the number of CPU threads used. We find that using multiple CPU threads leads to a sublinear increase in performance, whereas the kernels on the GPU generally receive a 20-30x speedup over a single thread. In particular, we find that the kernel for computing $\Delta R$ masking between two collections runs at a speed of 7 MHz on a single-thread of the CPU and is sped up by about a factor x15 using the GPU. ](plots/kernel_benchmarks.pdf){ width=8cm } We find that even complex kernels perform at speeds of tens of MHz (millions of events per second) on a single CPU thread, whereas a total speedup of approximately 20-30x over single-core performance is common on a GPU for the kernels. We also note that there is ongoing development in the particle physics community for a domain-specific language (DSL) to concisely express such jagged operations with the necessary combinatorial operations. It is expected that this language will allow efficient implementations of generic kernels on multiple backends. Our contribution is to explicitly implement the necessary kernels and thus assess the feasibility of using accelerators for data analysis before a new DSL is finalized for practical work. # Analysis benchmark Besides testing the individual kernels in a controlled setting, we benchmark this kernel-based approach in a prototypical top quark pair analysis using CMS Open Data from 2012 [@cmsopendata-mc1; @cmsopendata-mc2; @cmsopendata-mc3; @cmsopendata-mc4; @cmsopendata-mc5; @cmsopendata-mc6; @cmsopendata-mc7; @cmsopendata-mc8; @cmsopendata-mc9; @cmsopendata-data1; @cmsopendata-data2]. The datasets are processed from the experiment-specific format to a columnar format using a publicly-available tool [@aod2nanoaod] and recompressed with the LZ4 algorithm in ROOT, with the derived datasets being online [@cmsopendata-private-derived]. We stress that this derived dataset is not meant to be used for independent physics results, but rather to replicate the computing conditions that are encountered in the data analysis groups at the experiments. The resulting derived datasets, corresponding to about 90GB of simulation and 55GB of data with the single muon trigger, are further processed in our benchmark analysis. The benchmark analysis implements the following features in a single end-to-end pass: \begin{itemize} \item event selection based on event variables: trigger bit, missing transverse energy selection \item object selection based on cuts on objects: jet, lepton selection based on $p_T$, $\eta$ \item matching of pairs of objects: jet-lepton $\Delta R$ matching, jet to generator jet matching based on index \item event weight computation based on histogram lookups: pileup, lepton efficiency corrections \item jet energy corrections based on histogram lookups: \textit{in-situ} jet energy systematics, increasing the computational complexity of the analysis by about 40x \item high-level variable reconstruction: top quark candidate from jet triplet with invariant mass closest to $M=172$ GeV \item evaluation of $\simeq 40$ typical high-level inputs to a deep neural network (DNN) \item Multilayer, feedforward DNN evaluation using \texttt{tensorflow} \item saving all DNN inputs and outputs, along with systematic variations, to histograms ($\simeq 1000$ individual histograms) \end{itemize} We find that performing systematic corrections based on linear interpolations, re-evaluating the DNN classifier and filling thousands of histograms are the most computationally demanding steps of the analysis. Generally, this code represents a simplified but prototypical Standard Model analysis. We expect further work on analyses with LHC Open Data to result in more realistic codes. We note that ongoing analyses at CMS have already started to adapt to such array-based methods. We perform two benchmark scenarios of this analysis: one with a partial set of systematic uncertainties to emulate a simpler IO-limited analysis, and one with the full set of systematic uncertainties to test a compute-bound workload. The timing results from the benchmark are reported in the table and figure below. \begin{table}[!t] \centering \caption{Processing speed and core-hours to process one billion events for the 270M-event / 144GB analysis benchmark with partial and full systematics, running either 24 single-threaded jobs, or 16 compute streams on 8 GPUs.} \begin{tabular}{c|cc} job type & partial systematics & full systematics \\ \hline \hline \multicolumn{3}{c}{total processing speed (kHz)} \\ \hline 1 CPU, 24 threads & 197 & 20 \\ 8 GPUs, 16 streams & 1450 & 235 \\ \hline \multicolumn{3}{c}{per-unit processing speed (kHz)} \\ \hline CPU thread & 8.2 & 0.8 \\ GPU stream & 90 & 15 \\ \hline \multicolumn{3}{c}{per-unit walltime to process a billion events (hours)} \\ \hline CPU thread & 34 & 330 \\ GPU stream & 3.1 & 19 \\ \hline \end{tabular} \end{table} ![Total time to analyze approximately 270M events for the top quark pair example with and without multi-GPU acceleration.](plots/analysis_benchmark.pdf){ width=4cm } ![One of the resulting plots for the top quark pair example analysis.](plots/sumpt.pdf){ width=6cm } Generally, we observe that the simpler analysis can be carried out at rate of approximately 16 kHz / CPU-thread, with the GPU-accelerated version performing about 10x faster than a single CPU thread. On the other hand, a complex compute-bound analysis where the main workload is repeated is about 15x faster on a single GPU than on 1 CPU thread. This modest advantage compared to the 20-100x improvement in raw kernel performance can be attributed to suboptimal kernel scheduling, as we have observed the GPU utilization peak around 50\% in typical benchmarking. This is partly mitigated by running multiple compute streams on the GPU, we find that running two parallel streams for this example analysis is practical. A single pass of the analysis involves hundreds to thousands of kernel calls, such that further optimizations in kernel scheduling and fusion are needed to keep the accelerator fully loaded. We find that it is beneficial to ensure that the kernels are called on sufficiently large datasets to reduce the overhead of kernel scheduling with respect to the time spent in the computation. Although the approximately 10-15x performance improvement on the GPU with respect to a single CPU thread is relatively modest, it is promising to see that most of the physics analysis methods can be implemented with relative ease on a GPU, such that with further optimizations, a small number multi-GPU machines might be a viable alternative to a large server farm in the future. We stress that we do not claim a GPU is necessarily faster than a large number of CPU threads, but rather demonstrate that it is possible to implement a portable end-to-end analysis on various compute platforms by using relatively standard tools. Ultimately, the choice of the computing platform will be driven by availability and pricing of resources. # Summary We demonstrate that it is possible to carry out prototypical end-to-end high-energy physics data analysis from a relatively simple code on a using multithreading to process millions of events per second on a multicore workstation. This is achieved by leveraging efficient decompression techniques in ROOT, array processing approaches and a small number of specialized kernels for jagged arrays implemented in Python using Numba. It is also possible to offload parts of these array computations to accelerators such as GPUs, which are highly efficient at parallel processing and alleviate compute-bound analyses such as those with many systematic variations or DNN evaluations. We demonstrate a prototypical top quark pair analysis implementation using these computational kernels with optional GPU offloading that can run between 20 - 300 kHz on a single GPU, about 15x faster than a single CPU thread. Several improvements are possible, among them optimizing data access via efficient IO, using accelerators for data decompression, scaling horizontally across multiple machines using scheduling software such as Apache Spark or dask, scaling vertically in a single server by optimizing the threading performance as well as kernel scheduling and fusion on heterogeneous architectures. Setting up integrated "analysis facilities" at HPC centers, with relevant datasets available on a high-performance filesystem coupled with multithreaded processors and GPUs would allow high-energy physics experiments to iterate through the late-stage data without the typical overheads from distributed computing. We hope that this report sparks further discussion and development of efficient and easy-to-use analysis tools which would be useful for scientists involved in HEP data analysis and in other data intensive fields. We have not performed a symmetrical benchmark with respect to current commonly used ROOT-based analysis codes, as typically these cannot be easily run from a single integrated workflow and thus cannot be reliably benchmarked end-to-end. However, neglecting the time spent in batch job preparation and management, event processing speeds for ROOT-based event loop analyses are commonly in the range of 10-50 kHz / CPU thread, which also factors in data fetching and decompression. It should be noted that the RDataFrame class of the ROOT library allows multithreaded processing of data from C++ using on CPU backends. Our contribution is to provide functionality with similar performance from Python, as well as to support GPU backends. We therefore stress that the benchmark shown in this result is not aimed to be symmetrical against standard ROOT-based analysis codes, but rather reflects the possibilities afforded by using array-based techniques on local data for analysis, which allows for fast experimentation and iteration on sizeable datasets before resorting to extensive distributed computing infrastructure. # Acknowledgements The excellent performance of the LHC as well as the CERN computing infrastructure and support were essential for this project. The authors are grateful to the CMS collaboration for providing the 2012 dataset as Open Data, especially the Higgs and Computing groups and the USCMS computing group at Fermilab, as well as Guenther Dissertori for useful discussions. We would like to thank Jim Pivarski and Lindsey Gray for helpful feedback at the start of this project and Christina Reissel for being an independent early tester of these approaches. The availability of the excellent open-source Python libraries \texttt{uproot}, \texttt{awkward}, \texttt{coffea}, \texttt{numba}, \texttt{cupy} and \texttt{numpy} was imperative for this project and we are grateful to the developers and maintainers of these open-source projects. This work was partly conducted at "\textit{iBanks}", the AI GPU cluster at Caltech. We acknowledge NVIDIA, SuperMicro and the Kavli Foundation for their support of "\textit{iBanks}". This work is supported by the the Prime NSF Tier2 award 1624356 and the Caltech HEP DOE award DE-SC0011925. # References
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avf/launchwolf-cli
9ddffb1f9b7d234af0fdfb8225833cffd3ed2255
[ "MIT" ]
3
2020-06-21T13:23:55.000Z
2021-11-02T20:47:59.000Z
README.md
avf/launchwolf-cli
9ddffb1f9b7d234af0fdfb8225833cffd3ed2255
[ "MIT" ]
3
2020-06-21T15:12:48.000Z
2022-01-22T12:32:02.000Z
README.md
avf/launchwolf-cli
9ddffb1f9b7d234af0fdfb8225833cffd3ed2255
[ "MIT" ]
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null
null
# LaunchWolf [![Version](https://img.shields.io/npm/v/launchwolf-cli.svg)](https://npmjs.org/package/launchwolf-cli) [![Downloads/week](https://img.shields.io/npm/dw/launchwolf-cli.svg)](https://npmjs.org/package/launchwolf-cli) [![License](https://img.shields.io/npm/l/launchwolf-cli.svg)](https://github.com/avf/launchwolf-cli/blob/master/package.json) LaunchWolf is a command line tool that allows you to create and deploy MVP websites with a single command. Usage: ```npx launchwolf-cli launch example.com``` This will automatically: - Purchase the domain `example.com` at gandi.net - Set up static hosting with Netlify and deploy - Set up your DNS records + SSL for the new domain so that they point to Netlify - Set up a mailbox `[email protected]` for your new domain - Set up email forwarding to an address of your choice (optional) - Set up an email newsletter subscription box via mailjet.com (optional) Everything will be integrated and ready to go. Other than the domain purchase, all services are free to get started! ## Usage - Create a static website. For example, you could use your favorite static site generator. - Run `npx launchwolf-cli launch example.com` from your project directory - Follow the steps in the interactive prompt! ## Advanced Configuration - Upon first run, the tool will gather all required information from you and store it in a global config file. - Re-run the tool to see the path to the global config file. - You can also create a local config file in the folder from which you run launchwolf. Local config values always have priority over global ones. ## Troubleshooting - You need to have the latest version of `npm` installed to use the `npx` command. - You can also install LaunchWolf globally by running `npm install -g launchwolf-cli`. Then you can run it with `launchwolf launch example.com`. This way you don't have to re-download the package each time you want to use the command. ## Contributing Questions, Feedback, Requests? Feel free to open an issue here on GitHub!
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jayhxmo/notion-icons
4f28564b40a6a0aa25687781b6ab2804cf76a112
[ "MIT" ]
35
2019-05-19T01:46:31.000Z
2021-06-29T04:52:07.000Z
README.md
jayhxmo/notion-icons
4f28564b40a6a0aa25687781b6ab2804cf76a112
[ "MIT" ]
4
2019-05-21T18:59:54.000Z
2019-05-23T07:04:47.000Z
README.md
jayhxmo/notion-icons
4f28564b40a6a0aa25687781b6ab2804cf76a112
[ "MIT" ]
4
2019-05-23T18:21:54.000Z
2021-07-10T01:17:32.000Z
# Notion Icons (Unofficial) Use custom icon sets in Notion directly ![Notion Icons in action](https://media.giphy.com/media/JUGN9kqMVjiSgKDIWS/giphy.gif) ## Usage You can either [download the Chrome extension here](https://chrome.google.com/webstore/detail/notion-icons/ggbhaojjpaliiapffmdjiiafemmephhk) (recommended), or [use it in the app](#use-in-the-app-not-recommended) (not recommended). [![Download Chrome Extension](https://developer.chrome.com/webstore/images/ChromeWebStore_BadgeWBorder_v2_206x58.png)](https://chrome.google.com/webstore/detail/notion-icons/ggbhaojjpaliiapffmdjiiafemmephhk) ## Contributing ### Adding More Icon Sets Information for icon sets are stored in `icons.json`, and the icon image files are stored in `icons/` folder. The `notion-icons.js` script (which is the uncompressed version of the injected script) receives icon data directly from this repository. Use `rename-icons.js` to rename icons into a readable format (there is no back-end, so icons need to be named in the format of `FOLDERNAME_#.png` with `#` representing the #th icon (e.g. in `icons/FD`, there are `FD_0.png`, `FD_1.png`...`FD_23.png`). To rename icons, run the below with `FOLDERNAME` being the folder name of the new icon set in `icons/` directory. ```bash node rename-icons FOLDERNAME ``` ## Use In The App (Not Recommended) This is not recommended, but here is how to do it for macOS if you desire. The process should be similar in Windows. Install Asar ```bash npm install -g asar ``` Navigate to the `Notion.app/Resources` folder ```bash cd /Applications/Notion.app/Contents/Resources ``` Extract the `app.asar` file ```bash asar extract app.asar app ``` Rename the current `app.asar` file so it's no longer used ```bash mv app.asar app.asar.old ``` Open the `index.js` file in the `renderer` folder ```bash open renderer/index.js ``` Navigate to around Line 124. Inside the `notionElm.addEventListener("dom-ready", function () {` function, right under the `notionIpc.proxyAllMainToNotion(notionElm);`, paste the below code. >*🔴 Warning: The code below injects a JavaScript file remotely from an online CDN, which can be a security risk with untrusted sources. It is recommended you host your own file or manually paste the code from `notion-icons-compressed.js` in. The below code uses the jsDelivr CDN which takes the code directly from GitHub so it will receive updates.* ```javascript document.getElementById('notion').getWebContents().executeJavaScript(`function getAsynchronously(n,t){var o=new XMLHttpRequest;o.onreadystatechange=function(){4==o.readyState&&200==o.status&&t(o.responseText)},o.open("GET",n,!0),o.send(null)}getAsynchronously("https://cdn.jsdelivr.net/gh/jayhxmo/notion-icons/notion-icons.compressed.js",function(n){let t=document.createElement("script");t.id="notionIconsScript";let o=n+"notionIconsWeb = false; currentPath = location.pathname; initializeNotionIcons();";t.innerHTML=o,document.body.appendChild(t)});`); ``` Save `index.js`, and you're set! --- For those who want to use their own source or manually paste the code in, this is the uncompressed version of the above code: ```javascript function getAsynchronously(urlString, callback) { var xmlHttp = new XMLHttpRequest(); xmlHttp.onreadystatechange = function() { if (xmlHttp.readyState == 4 && xmlHttp.status == 200) callback(xmlHttp.responseText); } xmlHttp.open("GET", urlString, true); xmlHttp.send(null); } getAsynchronously('https://notion-icons-ewcyzotqur.now.sh/notion-icons.compressed.js', function(notionIconsScriptData) { let notionIconsScript = document.createElement('script'); notionIconsScript.id = 'notionIconsScript'; let iconsCompiledScript = notionIconsScriptData + 'notionIconsWeb = false; currentPath = location.pathname; initializeNotionIcons();'; notionIconsScript.innerHTML = iconsCompiledScript; document.body.appendChild(notionIconsScript); }); ``` --- License: [MIT](https://github.com/jayhxmo/notion-icons/blob/master/LICENSE) Contact: jay at jaymo.io
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_posts/storybook/2021-08-09-webpack5sb.md
hyunwoome/hyunwoome.github.io
b4adcefeff0f880c4a56dfdc5b360a93b63d12b2
[ "MIT" ]
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_posts/storybook/2021-08-09-webpack5sb.md
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_posts/storybook/2021-08-09-webpack5sb.md
hyunwoome/hyunwoome.github.io
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--- title: Storybook - CRA없이 스토리북 설치하기 categories: [Storybook] comments: true --- 리액트를 CRA를 사용하지않고 수동으로 설치하여 개발중에, 스토리북을 써보기위해 설치하면서 생긴 오류를 해결한 포스팅입니다. ### 오류 발생! 먼저 기존의 리액트 프로젝트에 스토리북을 설치하려 합니다. 공식문서에 소개된 대로 해당 명령어를 사용해서 설치했습니다. ```sh npx sb init ``` 설치가 정상적으로 완료되었고 이제 `npm run storybook`으로 스토리북 서버를 가동하려 하는데 다음과 같은 오류메세지가 뜹니다. ```sh info => Using default Webpack4 setup (node:74965) DeprecationWarning: Default PostCSS plugins are deprecated. When switching to '@storybook/addon-postcss', you will need to add your own plugins, such as 'postcss-flexbugs-fixes' and 'autoprefixer'. See https://github.com/storybookjs/storybook/blob/next/MIGRATION.md#deprecated-default-postcss-plugins for details. (Use `node --trace-deprecation ...` to show where the warning was created) 0% compilingERR! TypeError: Cannot read property 'get' of undefined ERR! at exports.provide (/Users/hyunwoo/login/fe/node_modules/webpack/lib/util/MapHelpers.js:17:20) ... ``` 이미지는 다음과 같습니다. <img width="788" alt="Screen Shot 2021-08-09 at 3 25 28 PM" src="https://user-images.githubusercontent.com/76833697/128667332-7aae11ce-2fb4-4822-895a-a604d58aed6a.png"> <br> ### 오류 해결! 오류 내용들을 천천히 살펴보면, 오류가 발생한 지점이 `Using default Webpack4 setup`이 지점입니다. 웹팩4를 기본 셋업하는데 문제가 발생한 것 같습니다. 제 프로젝트는 웹팩5를 사용하고 있어서 뭔가 문제가 생긴 것 같은데, 구글에 `storybook webpack5`라는 키워드를 이용해 검색합니다. [링크](https://storybook.js.org/blog/storybook-for-webpack-5/)에서 말하길, 웹팩5버전 에서 스토리북을 사용하려면 웹팩5버전용 빌더를 설치해야 하나봅니다. 기존에 설치한 스토리북을 말끔히 제거하고 다음 명령어를 사용해 재설치해주었습니다. ```sh npx sb init --builder webpack5 ``` 정상적으로 설치가 되었으면 이제 `npm run storybook`을 입력해 스토리북 서버를 가동시켜봅시다. <img width="788" alt="Screen Shot 2021-08-09 at 3 31 59 PM" src="https://user-images.githubusercontent.com/76833697/128667773-04f10a7e-6807-42f7-87eb-3393db0e7984.png"> 이제 정상적으로 작동되네요👍
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_posts/1989-06-04-孙陇:文革杂碎事之革命不是请客吃饭.md
NodeBE4/mjlsh
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2020-09-30T00:09:49.000Z
2021-01-12T10:57:18.000Z
_posts/1989-06-04-孙陇:文革杂碎事之革命不是请客吃饭.md
NodeBE4/mjlsh
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_posts/1989-06-04-孙陇:文革杂碎事之革命不是请客吃饭.md
NodeBE4/mjlsh
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2021-05-29T19:48:31.000Z
2021-05-29T19:48:31.000Z
--- layout: post title: "孙陇:文革杂碎事之革命不是请客吃饭" date: 1989-06-04 author: 孙陇 from: http://mjlsh.usc.cuhk.edu.hk/Book.aspx?cid=4&amp;tid=2035 tags: [ 这样走过 ] categories: [ 这样走过 ] --- <div style="margin: 15px 10px 10px 0px;"> <div> <span id="ctl00_ContentPlaceHolder1_chapter1_SubjectLabel" style="font-weight:bold;text-decoration:underline;"> 分类: </span> </div> <div> <b> <font size="5"> 文革杂碎事之革命不是请客吃饭 </font> </b> </div> <div> <b> <font size="4"> <br/> </font> </b> </div> <div> <b> <font size="4"> ----作者:孙陇 </font> </b> </div> <div> <br/> </div> <div> 文革开始后,局面渐渐混乱,虽然在1966年9月5日《人民日报》发表社论《要文斗,不要武斗》,但此时当政者或许出于默认,或许是因为失控,自1966年12月大规模的武斗开始在全国范围内开始,自1967年达到高潮,此时的中国出现了一种奇怪的现象:保卫着同一个革命领袖、喊着同样的革命口号、为了同一个革命目标的两派却刀枪相见,大动干戈,非要将对方置于死地。武斗规模越来越大,参加的人数动辄成千上万,有些地方还动用军舰、坦克、高射炮等军事物资,可以说此时的中国又陷入了战争状态。 </div> <div> </div> <div> 如此大规模的武斗,自然有大笔的开支,在理论上政府是不支持武斗,自然也不会专门拨款用于武斗,那么这部分开支从哪里来呢?根据一些资料,这部分开支一方面是造反派头头们打着革命的旗号向政府强行索要,在1977年对贵州“红卫军”造反派头头李铁乃的判决书上提到:“一九六六年十一月二十一日至一九六七年元月十八日,以李犯为首的一小撮坏分子,先后制造了五起抢夺枪弹事件,抢走我公安、保卫干部、民兵和解放军执勤战士的各种枪支十二支、子弹一百八十三发。一九六六年十月下旬至一九六七年元月下旬,李犯等制造种种事端,胁迫原省委负责人签字批条,攫取现金八万九千余元、粮食一万多斤,以及其他大量物资,供其挥霍。”另一方面,在造反过程中通过打、砸、抢、抄等手段来补充经费,这种现象比较普遍,有些地区的银行甚至都被抢。当然,在当时混乱的局面下,筹集经费会有许多种办法,而造反派利用暂时获得的权力,会命令一些部门解决武斗时所遇到的一些诸如吃、住问题,据陕西省洛川县的县志记载的1968年武斗情况:“联总”武斗人员进城后,住一月余,办武斗灶5个,挥霍粮食7.9万余公斤,粮票1万余公斤,食油1200余公斤,粮站花生1200余公斤,损失麻袋14000余条。制武斗服用布1100余米,用各种纸张37令,合计7600余元,从县银行提取现金27000余元,损失各种药物215种,合计1万余元,使国家财产蒙受极大损失。 </div> <div> </div> <div> 文革前两年的混乱局面,使得国家经济处于崩溃的边缘,国家财政收入受到很大影响,1967年、1968年连续两年下降,1966年国家财政收入为558.7亿元,1967年为419.4亿元,下降25%。面对这样的状况,当政者也只有采取措施来挽救经济,平息动乱的事态。首先是制止各地武斗,特别是制止武斗中抢夺国家物资的行为,1967年9月,中共中央下发了《中共中央、国务院、中央军委、中央文革小组关于严禁抢夺国家物资商品,冲击仓库、确保国家财产安全的通知》(又称“九一三”通知),通知指出: </div> <div> </div> <div> 最近,有些地区不断发生抢夺国家粮食、现金、各种物资、冲击仓库和拆毁机器设备的严重事件。这是绝对不能容忍的违法行为,必须立即严加制止。为了严禁抢夺国家物资商品,确保国家财产安全,特作如下通知: </div> <div> <br/> </div> <div> 一、必须坚决贯彻执行中共中央、国务院、中央军委、中央文革小组一九六七年六月六日《通令》中所规定的:“社会主义的国家财产和集体财产绝对不可侵犯,革命群众都有保护的责任,任何团体和个人,都不准侵占,不准砸抢,不准用任何借口进行破坏。”各地必须根据这一规定,坚决制止抢夺国家和集体财产的事件发生。 </div> <div> <br/> </div> <div> 二、对于已经发生的抢夺国家财物的事件,要严肃处理。已抢夺的国家财物要一律追回。原物在的,要退还原物;损坏了的,要酌情赔偿;吃掉用掉了的,除按价退还现金外,还要按数退还粮票和布票。抢夺的现金,要如数追回,用于个人生活,一时归还不了的,要分期从本人工资中扣还。对于参与抢夺事件的受蒙蔽的群众,要进行批评教育,帮助他们认识错误,可以不追究责任。对于煽动闹事的走资本主义道路的当权派、带头抢劫的少数坏头头,以及混进来的地、富、反、坏、右分子,要实行专政,按照情节轻重,给予制裁,首恶者,必须严办。 </div> <div> <br/> </div> <div> 三、人民解放军、公安机关、革命群众组织,要对保护国家仓库、金库、物资、财产的安全负责。任何团体和个人,都不准冲击、砸抢国家的仓库、金库、油库、冷库、营业场所和生产企业,不准侵占、抢夺和破坏国家的商品、劳保用品、仓库物资和财产,不准外部人员和无关人员进驻国家的仓库、金库和存放物资的场所。 </div> <div> <br/> </div> <div> 四、对外出串连和从原地出走的群众,要动员他们回去就地闹革命,遵守劳动纪律,坚守生产岗位。已经掌权的革命群众组织,对于其他革命群众组织的职工群众,不得因观点分歧,克扣他们的工资和粮票,已经克扣了的要补发。 </div> <div> <br/> </div> <div> 五、因武斗而造成停产的单位,从停产时起到生产恢复之日止,一律停发工资。经查明以后,未参加武斗的人员,他们的工资以后再行补发。 </div> <div> <br/> </div> <div> 六、必须高举毛泽东思想伟大红旗,向广大群众、干部和职工进行深入细致的政治思想工作,进行保护国家财产安全的宣传教育,造成“保护国家财产光荣,破坏国家财产有罪”的强烈社会舆论,发动广大群众起来保护国家财产,监督和检举坏人。对于保护国家财产有功的群众和职工,要给予表扬和奖励。 </div> <div> <br/> </div> <div> 一方面制止武斗的抢夺行为,来保证国家财产,另一方又不能不继续革命,因此1968年5月中共中央又下发了《中共中央、国务院、中央军委、中央文革关于进一步实行节约闹革命,坚决节约开支的紧急通知》,采取紧缩开支、缩减基础设施建设投资及加强税收等措施,在通知中仍然强调对文革中的资金使用的管理问题:今后,出省上访和参观,必须从严控制,由省、市、自治区革命委员会(筹备小组)、军管会或军区制定批准办法。未经批准的,一律不得借支和报销各种费用。有关单位不予接待。过去串连、上访、参观人员借支的现金、粮票和物品,凡能归还的,要主动归还。借出单位和有关单位要认真清理,应当收回的,要限期收回。 </div> <div> </div> <div> 中央的指示,地方上坚决执行,各地纷纷出台具体的做法,成立专门的机构来处理相关问题。笔者搜集到一份“安徽省蚌埠市革委会文化革命经费物资清理组”关于清理物资经费的报告,全文如下: </div> <div> </div> <div> 关于因武斗抢夺和动用国家经费物资回收处理意见的报告 </div> <div> <br/> </div> <div> 市革命委员会: </div> <div> <br/> </div> <div> 我市在文化大革命的前一阶段,在一小撮阶级敌人的挑动下,两派群众多次发生武斗。在武斗期间抢夺和动用大量国家经费、物资,仅在去年七月和十二月两个月内,据粮食、商业和供销部门初步统计,抢夺和动用国库粮食二十余万斤,以及其他商品物资价值达二十余万元。在当前大好的革命形势下,大部分单位根据中央、省清理文化大革命经费、物资的指示精神,结合本单位斗、批、改对前一阶段文化大革命经费、物资进行了清理。不少单位根据中央《九一三》通知精神,通过政治思想教育工作,充分发动群众,对于被抢夺的物资已开始退还;对于武斗期间武斗人员吃的伙食费和其他各种食品进行了登记。为了做好这项物资和现金的退还和处理工作,特提出如下意见: </div> <div> <br/> </div> <div> 一、被抢夺、动用商品物资的有关部门,要全面进行清理,查明物资商品去向,主动地向原批准动用人和经办人以及强行提取物资商品的负责人的有关单位联系催收。有关人员所在单位要树立整体观念,有责任督促有关人员,负责清理回收。 </div> <div> <br/> </div> <div> 二、在武斗期间经办武斗人员伙食的单位,要负责清理落实数字,清回钱粮。对于本市参加武斗和其他就餐人员的伙食费(包括农民进城食用的伙食费),要转知有关单位清理回收,对于外地来我市参加武斗的就餐人员,要按地区、单位、人员姓名、食用的钱粮,造具清册(有借据的要附上借据)报市经费、物资清理组统一转寄,由当地收回入库,单位经报批后,凭以核销。 </div> <div> <br/> </div> <div> 三、各有关单位对于参加武斗人员或其他集体就餐人员的伙食费,为便于统一掌握,可暂按本人定量收回粮票,每人每天按四角收回伙食费,不足一天者按餐计算。在武斗期间武斗人员的夜餐按每人每餐粮票二点五两,人民币二角收回,在饭店吃的伙食以及非法动用的国家商品,如烟、酒、饼干等等,应一律按现行价格退还现金和粮票。各有关单位对于收回伙食费的粮票和现金,迳交原经办伙食单位,由伙食单位直接与有关部门结算;收回的其他现金和粮票可按项目直接交还有关单位。 </div> <div> <br/> </div> <div> 四、对于收回抢夺、占用的国家、私人财物和武斗期间经办武斗人员伙食单位剩余的钱、粮、物的处理,除前“市革委会”拨给武斗人员伙食用的剩余经费和用此经费购置的物资,除上交市经费物资清理组外,其他收回和剩余的粮、款、物应直接退还有关部门。 </div> <div> <br/> </div> <div> 以上意见如无不妥,请批转各级革命委员会执行。 </div> <div> <br/> </div> <div> 蚌埠市革委会文化革命经费物资清理组 </div> <div> <br/> </div> <div> 一九六八年十月十七日 </div> <div> </div> <div> 蚌埠市革委会于1968年10月21日批准了这份报告并以市革生字(68)017号文件下发各单位,要求按照报告内容贯彻执行。如此,在最高领导人大手一挥就起来进行革命的这些革命同志和造反派,在武斗中不但牺牲了不少战友的生命,而且还要为这么一场革命运动买经济的账单,破坏了国家经济发展的罪名要承担,而且那些本以为为革命可以不惜生命的革命同志,到最后清算的时候,你连吃了几顿公家的饭都要跟你算清楚,几毛几分,都不能少。这仅仅是经济的清算,在文革以后,对参加造反派的人的政治清算也开始了,不少人因此被戴上“三种人”(即追随林彪、江青反革命集团造反起家的人,帮派思想严重的人,打砸抢分子)的帽子被审查、隔离直至判刑,而真正的始肇者却还没有被追究。 </div> <div> </div> <div> 毛泽东在1927年的《湖南农民运动考察报告》中提到:“革命不是请客吃饭,不是做文章,不是绘画绣花,不能那样雅致,那样从容不迫,文质彬彬,那样温良恭俭让。革命是暴动,是一个阶级推翻一个阶级的暴烈的行动。” </div> <div> </div> <div> 确实,他做到了。对于这些参加造反的人而言,革命,真不是请客吃饭,要吃也是吃自己的。 </div> <div> <br/> </div> <div> <b> <font size="4"> 转自《共识网》 </font> </b> </div> </div>
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2019-04-16T03:17:57.000Z
2019-04-16T03:17:57.000Z
--- external help file: Microsoft.Azure.Commands.StreamAnalytics.dll-Help.xml online version: schema: 2.0.0 ms.assetid: 60C0C41C-25C8-485B-BEEE-5D4068E56D28 --- # New-AzureStreamAnalyticsTransformation ## SYNOPSIS Creates a transformation in a Stream Analytics job or updates the existing transformation. ## SYNTAX ``` New-AzureStreamAnalyticsTransformation [-JobName] <String> [[-Name] <String>] [-File] <String> [-Force] [-ResourceGroupName] <String> [-Profile <AzureProfile>] [-PipelineVariable <String>] [<CommonParameters>] ``` ## DESCRIPTION The **New-AzureStreamAnalyticsTransformation** cmdlet creates a transformation in a Stream Analytics job or updates the existing transformation. The name of the transformation can be specified in the .JSON file or on the command line. If both are specified, the name on command line must be the same with the one in the file. If you specify a transformation that already exists and do not specify the *Force* parameter, the cmdlet will ask whether or not to replace the existing transformation. If you specify the *Force* parameter and specify an existing transformation name, the transformation is replaced without confirmation. ## EXAMPLES ### Example 1: Create a transformation ``` PS C:\>New-AzureStreamAnalyticsTransformation -ResourceGroupName "StreamAnalytics-Default-West-US" -File "C:\Transformation.json" -JobName "StreamingJob" -Name "StreamingJobTransform" ``` This command creates a transformation named StreamingJobTransform for the job named StreamingJob. If there is an existing transformation named StreamingJobTransform, the cmdlet prompts you whether to replace it. ### Example 2: Replace an existing transformation ``` PS C:\>New-AzureStreamAnalyticsTransformation -ResourceGroupName "StreamAnalytics-Default-West-US" -File "C:\Transformation.json" -JobName "StreamingJob" -Name "StreamingJobTransform" -Force ``` This command replaces the definition of the transformation named StreamingJobTransform for the job named StreamingJob. ## PARAMETERS ### -JobName Specifies the name of the job for which to create or replace the transformation. ```yaml Type: String Parameter Sets: (All) Aliases: Required: True Position: 1 Default value: None Accept pipeline input: True (ByPropertyName) Accept wildcard characters: False ``` ### -Name Specifies the name of the Azure Stream Analytics transformation to create. ```yaml Type: String Parameter Sets: (All) Aliases: Required: False Position: 2 Default value: None Accept pipeline input: True (ByPropertyName) Accept wildcard characters: False ``` ### -File Specifies the path to a JSON file that contains the JSON representation of the Azure Stream Analytics transformation to create. ```yaml Type: String Parameter Sets: (All) Aliases: Required: True Position: 3 Default value: None Accept pipeline input: False Accept wildcard characters: False ``` ### -Force Indicates that this cmdlet replaces the specified Azure Stream Analytics transformation if it already exists without asking for confirmation. ```yaml Type: SwitchParameter Parameter Sets: (All) Aliases: Required: False Position: Named Default value: None Accept pipeline input: False Accept wildcard characters: False ``` ### -ResourceGroupName Specifies the name of the resource group that the Azure Stream Analytics transformation should be created under. ```yaml Type: String Parameter Sets: (All) Aliases: Required: True Position: 0 Default value: None Accept pipeline input: True (ByPropertyName) Accept wildcard characters: False ``` ### -Profile Specifies the Azure profile from which this cmdlet reads. If you do not specify a profile, this cmdlet reads from the local default profile. ```yaml Type: AzureProfile Parameter Sets: (All) Aliases: Required: False Position: Named Default value: None Accept pipeline input: False Accept wildcard characters: False ``` ### -PipelineVariable Not Specified ```yaml Type: String Parameter Sets: (All) Aliases: pv Required: False Position: Named Default value: None Accept pipeline input: False Accept wildcard characters: False ``` ### CommonParameters This cmdlet supports the common parameters: -Debug, -ErrorAction, -ErrorVariable, -InformationAction, -InformationVariable, -OutVariable, -OutBuffer, -PipelineVariable, -Verbose, -WarningAction, and -WarningVariable. For more information, see about_CommonParameters (http://go.microsoft.com/fwlink/?LinkID=113216). ## INPUTS ## OUTPUTS ### Microsoft.Azure.Commands.StreamAnalytics.Models.PSTransformation ## NOTES ## RELATED LINKS [Get-AzureStreamAnalyticsTransformation](./Get-AzureStreamAnalyticsTransformation.md)
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_projects/throwbot.md
soheil-h/soheil-h.github.io
18704e25c126c8bb780d380b86ddd217fe5d7192
[ "MIT" ]
null
null
null
_projects/throwbot.md
soheil-h/soheil-h.github.io
18704e25c126c8bb780d380b86ddd217fe5d7192
[ "MIT" ]
null
null
null
_projects/throwbot.md
soheil-h/soheil-h.github.io
18704e25c126c8bb780d380b86ddd217fe5d7192
[ "MIT" ]
null
null
null
--- layout: page title: ThrowBot description: Two wheeled throwable robot for exploration in disaster areas img: assets/img/projects/throwbot/throwbot_1.jpg importance: 4 category: Past --- While inspection and reconnaissance robots utilize various locomotion mechanisms to overcome obstacles in the working environment, they are restricted in some features such as size, weight, and rapid deployability. On the contrary, small light-weight robots assist operators to reach inaccessible areas that regular mobile robots cannot enter due to complex obstacles and narrow or blocked entrances. We developed a two-wheeled throwable robot embedded with video and audio systems to provide instantaneous communication with the operator, while its impact resistance wheels and carbon fiber cylindrical body efficiently absorb shock during repeated throws. <div class="row"> <div class="col-sm mt-3 mt-md-0"> {% include figure.html path="assets/img/projects/throwbot/throwbot_2.jpg" title="example image" class="img-fluid rounded z-depth-1" zoomable=true%} </div> <div class="col-sm mt-3 mt-md-0"> {% include figure.html path="assets/img/projects/throwbot/throwbot_3.jpg" title="example image" class="img-fluid rounded z-depth-1" zoomable=true%} </div> </div> <div class="caption"> CAD design in SolidWorks </div> <div class="row justify-content-sm-center"> <div class="col-sm-5 mt-3 mt-md-0"> {% include figure.html path="assets/img/projects/throwbot/throwbot_4.jpg" title="example image" class="img-fluid rounded z-depth-1" zoomable=true%} </div> <div class="col-sm-6 mt-3 mt-md-0"> {% include figure.html path="assets/img/projects/throwbot/throwbot_5.jpg" title="example image" class="img-fluid rounded z-depth-1" zoomable=true%} </div> </div> <div class="caption"> ThrowBot in real-world </div> <p align="center"><iframe width="560" height="315" src="https://www.youtube.com/embed/r7vEuXhTjN8?rel=0" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> </p>
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Markdown
README.md
marekhakala/addressbook-api
39b0381cb9b9ce92b189179fd15d325f57267da1
[ "Apache-2.0" ]
null
null
null
README.md
marekhakala/addressbook-api
39b0381cb9b9ce92b189179fd15d325f57267da1
[ "Apache-2.0" ]
null
null
null
README.md
marekhakala/addressbook-api
39b0381cb9b9ce92b189179fd15d325f57267da1
[ "Apache-2.0" ]
null
null
null
# Address Book API v1.0.0 ![AddressBookAPI logo](images/addressbookapi.png) The address book is an address book web API application for SPA and mobile applications. ## Requirements * Npm / Yarn * Node.JS * Express.JS * MongoDB ## Installation * Install yarn package manager `npm install yarn` * Install all necessary npm packages `yarn` ## Setup * Setup config file `cp ./config/env.json.sample ./config/env.json && vim ./config/env.json` * Download and save Google Service Account Key into `./config/serviceAccountKey.json` * Setup and seed database tables `yarn run seed` ## Run application - development * `yarn run dev` ## Run application - testing * `yarn run test` ## Libraries * [Node.JS](https://nodejs.org/en/) - Node.js JavaScript runtime * [Express.JS](http://expressjs.com/) - Fast, unopinionated, minimalist web framework * [Express.JS JWT](https://github.com/auth0/express-jwt) - JWT authentication middleware * [MongoDB](https://www.mongodb.com/) - MongoDB is a free and open-source cross-platform document-oriented database program * [Mongoose](http://mongoosejs.com/) - Mongoose MongoDB ODM * [Passport](http://passportjs.org/) - Simple, unobtrusive authentication for Node.js * [Swagger](https://swagger.io/) - Tools for designing and building Swagger-compliant APIs entirely in Node.js * [Swagger UI](https://swagger.io/swagger-ui/) - Middleware for your express app to serve the Swagger UI bound to your Swagger document * [Chai](http://chaijs.com/) - Chai is a BDD / TDD assertion library for node * [Mocha](https://mochajs.org/) - Simple, flexible, fun test framework # License - Apache License, Version 2.0 ``` # (C) Copyright 2017 by Marek Hakala <[email protected]> # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. ```
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Markdown
catalog/onidere/en-US_onidere.md
htron-dev/baka-db
cb6e907a5c53113275da271631698cd3b35c9589
[ "MIT" ]
3
2021-08-12T20:02:29.000Z
2021-09-05T05:03:32.000Z
catalog/onidere/en-US_onidere.md
zzhenryquezz/baka-db
da8f54a87191a53a7fca54b0775b3c00f99d2531
[ "MIT" ]
8
2021-07-20T00:44:48.000Z
2021-09-22T18:44:04.000Z
catalog/onidere/en-US_onidere.md
zzhenryquezz/baka-db
da8f54a87191a53a7fca54b0775b3c00f99d2531
[ "MIT" ]
2
2021-07-19T01:38:25.000Z
2021-07-29T08:10:29.000Z
# Onidere ![onidere](https://cdn.myanimelist.net/images/manga/3/146835.jpg) - **type**: manga - **volumes**: 11 - **chapters**: 143 - **original-name**: オニデレ - **start-date**: 2008-04-02 - **end-date**: 2008-04-02 ## Tags - comedy - romance - school - shounen ## Authors - Crystal na Yousuke (Story & Art) ## Sinopse Tadashi is in his second year of junior high school and is a member of the handicraft club and loves nothing more than knitting. Unfortunately he's in secret relationship with Saya, the member of a notorious all-girl gang, who says she will kill him and herself if anyone is to find out about it. Included one-shots: Volume 8: Noa-himesama no Tsugai-sagashi Volume 10: Dragon Back Volume 11: Mismatch! ## Links - [My Anime list](https://myanimelist.net/manga/9702/Onidere)
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Markdown
docs/devops.md
AntoineToubhans/vet-django
07a10241b3140752c633520e8c31ca6b05248311
[ "MIT" ]
null
null
null
docs/devops.md
AntoineToubhans/vet-django
07a10241b3140752c633520e8c31ca6b05248311
[ "MIT" ]
null
null
null
docs/devops.md
AntoineToubhans/vet-django
07a10241b3140752c633520e8c31ca6b05248311
[ "MIT" ]
null
null
null
# Devops Staging server: 18.222.232.61 (TBD) Ssh to the staging server: ```bash ssh [email protected] ``` ## Provisionning ### Requirements * Ansible : `sudo pip install ansible` To provision staging: ```bash ansible-playbook -i devops/hosts devops/provision.yml ``` To deploy to staging: ```bash ansible-playbook -i devops/hosts devops/deploy.yml ```
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Exchange-Server-2013/no-exchange-2010-or-exchange-2007-servers-detected-exchange-2013-help.md
v-kents/OfficeDocs-Exchange-Test-pr.pt-br
53fa2ea9657e145856ab3dbcd0d1ecbd3bbf6d01
[ "CC-BY-4.0", "MIT" ]
null
null
null
Exchange-Server-2013/no-exchange-2010-or-exchange-2007-servers-detected-exchange-2013-help.md
v-kents/OfficeDocs-Exchange-Test-pr.pt-br
53fa2ea9657e145856ab3dbcd0d1ecbd3bbf6d01
[ "CC-BY-4.0", "MIT" ]
null
null
null
Exchange-Server-2013/no-exchange-2010-or-exchange-2007-servers-detected-exchange-2013-help.md
v-kents/OfficeDocs-Exchange-Test-pr.pt-br
53fa2ea9657e145856ab3dbcd0d1ecbd3bbf6d01
[ "CC-BY-4.0", "MIT" ]
null
null
null
--- title: 'Nenhum servidor Exchange 2010 ou Exchange 2007 detectada: Exchange 2013 Help' TOCTitle: Nenhum servidor Exchange 2010 ou Exchange 2007 detectada ms:assetid: 789cabab-c769-4a16-a6c8-3db82cff8861 ms:mtpsurl: https://technet.microsoft.com/pt-br/library/ms.exch.setupreadiness.noe14serverwarning(v=EXCHG.150) ms:contentKeyID: 50485917 ms.date: 05/22/2018 mtps_version: v=EXCHG.150 ms.translationtype: MT --- # Nenhum servidor Exchange 2010 ou Exchange 2007 detectada   _**Aplica-se a:** Exchange Server_ _**Tópico modificado em:** 2012-11-08_ Microsoft Exchange Server 2013 instalação exibido esse aviso, porque nenhuma função de servidor Exchange Server 2010 ou Exchange Server 2007 existe na organização. > [!WARNING] > Se você continuar com a instalação do Exchange Server 2013, você não conseguirá adicionar servidores Exchange 2010 ou Exchange 2007 para a organização futuramente. Antes de implantar Exchange 2013, considere os seguintes fatores que podem exigir a implantação de servidores Exchange 2010 ou Exchange 2007 antes da implantação Exchange 2013: - **Aplicativos desenvolvidos na empresa ou de terceiros**   Aplicativos desenvolvidos para versões anteriores do Exchange podem não ser compatíveis com Exchange 2013. Você pode precisar manter Exchange 2010 ou Exchange 2007 servidores para oferecer suporte a esses aplicativos. - **Requisitos de coexistência ou a migração**   Se você planeja migrar caixas de correio em sua organização, algumas soluções podem exigir o uso de servidores Exchange 2010 ou Exchange 2007. Se você decidir que você precisa para implantar servidores Exchange 2010 ou Exchange 2007, você deve fazer isso antes de implantar o Exchange 2013. Active Directory deve ser preparado para cada versão do Exchange na seguinte ordem: 1. Exchange 2007 2. Exchange 2010 3. Exchange 2013 Está enfrentando problemas? Peça ajuda nos fóruns do Exchange. Visite os fóruns em: [Exchange Server](https://go.microsoft.com/fwlink/p/?linkid=60612), [Exchange Online](https://go.microsoft.com/fwlink/p/?linkid=267542), ou [Proteção do Exchange Online](https://go.microsoft.com/fwlink/p/?linkid=285351). Você encontrou o que você está procurando? Por favor, separe um minuto do seu tempo para [enviar seus comentários para nós](mailto:[email protected]?subject=exchange%202013%20setup%20help%20feedback) sobre as informações que você estava esperando encontrar.
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0.995671
b03e56173f4d1fda3023fd06067ea77fc50d9643
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md
Markdown
README.md
runlucky/DragonQuestTool
590358d60d00c0b29f20ccb3c8bf96a685feeef1
[ "MIT" ]
null
null
null
README.md
runlucky/DragonQuestTool
590358d60d00c0b29f20ccb3c8bf96a685feeef1
[ "MIT" ]
22
2018-09-25T01:18:25.000Z
2020-04-07T23:35:20.000Z
README.md
runlucky/DragonQuestTool
590358d60d00c0b29f20ccb3c8bf96a685feeef1
[ "MIT" ]
null
null
null
# DragonQuestTool # 概要 - ドラクエのボス戦でHPを自動で計算してくれます。 - 計算方法は、画像を定期的にキャプチャーしてやってます。 - メモリの中を覗いたりはしていません。 # 注意 - エミュレータでしか動きません。 - バグ等ありましたらissueとかついったーとかでご連絡ください。 - まだDQ5しか対応していません。 # エミュレータの設定 - SNESGT 推奨です。 - 「オプション」→「設定」→「画面」 フィルタ 拡大:二倍化 # 設定のしかた 設定はツールを閉じたら勝手に保存されます。 - Wait 初期値:200 - 特に触る必要はありません。 - スキャン座標 初期値: 0,0 1. DQ5をプレイしておやぶんゴーストのところに行ってください。 1. おやぶんゴーストをなぐってください。 1. ゲームのテキスト欄に「おやぶんゴーストに」と表示させてください。 1. 座標の値をいい感じに変更して上下の画像が全く同じになるようにしてください。 # つかいかた - 計測開始ボタンを押してください。 計測中はPCが少し重くなります。 - 座標の設定があっていれば勝手にHPゲージが表示されたり、 自動で計算したりするはずです。
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_posts/2010-4-20-工信部部长李毅中:警惕美国IBM“智慧地球”陷阱.md
backup53/1984bbs
152406c37afab79176f0d094de5ac4cb0c780730
[ "MIT" ]
18
2020-01-02T21:43:02.000Z
2022-02-14T02:40:34.000Z
_posts/2010-4-20-工信部部长李毅中:警惕美国IBM“智慧地球”陷阱.md
wzxwj/1984bbs
152406c37afab79176f0d094de5ac4cb0c780730
[ "MIT" ]
3
2020-01-01T16:53:59.000Z
2020-01-05T10:14:11.000Z
_posts/2010-4-20-工信部部长李毅中:警惕美国IBM“智慧地球”陷阱.md
backup53/1984bbs
152406c37afab79176f0d094de5ac4cb0c780730
[ "MIT" ]
13
2020-01-20T14:27:39.000Z
2021-08-16T02:13:21.000Z
--- layout: default date: 2010-4-20 title: 工信部部长李毅中:警惕美国IBM“智慧地球”陷阱 categories: 自由新闻社 --- # 工信部部长李毅中:警惕美国IBM“智慧地球”陷阱 张书记 http://twitter.com/SecretaryZhang 1楼 大 中 小 发表于 2010-4-20 20:18 只看该作者 工信部部长李毅中:警惕美国IBM“智慧地球”陷阱 来源: IT商业新闻网 日期:2010.04.15 09:02 【IT商业新闻网讯】(记者 方圆)近日,工业和信息化部部长李毅中表示,通过传感网和互联网的应用,“智慧地球”可以极大提高效率,产生更大的效益,但美国试图用其信息网络技术,控制各国的经济,我国发展战略性新兴产业时,必须提高警惕,不能受制于人。 李毅中部长是在2010年经贸形势报告会上提出上述观点的。他表示,要大力发展3G、物联网等新兴产业。对于外国这些新的理念和新的战略,要有所启迪,也要有所警惕。 李毅中提醒不能受制于人 物联网是全球公认的继计算机、互联网与移动通信网之后的世界信息产业又一次新的信息化浪潮。在物联网上,所有物品,像闹钟以及电冰箱等都可以连接到互联网上,实现智能化。物联网已经成为我国重点战略,国务院总理温家宝更是将物联网列为5大必争产业制高点之一。 有评论认为,物联网完全是新概念,国内外对物联网的内涵和产业发展仍处在研究探讨阶段,还没有形成共识。对于战略性新兴产业做超前研究是必要的,但作为实际工作安排一定要十分慎重。而且,温家宝总理在政府工作报告中对战略性新兴产业的提法也只是 “大力培育”,并没有鼓励对尚未成熟的新兴产业进行大规模产业推广。不过,蓝色巨人IBM似乎对此显得极为急躁,大力推广其“智慧地球”。 IBM认为,该公司提出到“智慧地球”,包含了物联网概念。包括IBM大中华区董事长兼首席执行总裁钱大群在内的多名IBM高管在不同场合公开表示,“智慧地球”要做的事情,就是“三个“i”,即是物联化、互联化和智能化,这三个化是整个“智慧地球”所代表的理念。IBM中国研究院副院长陈滢认为,“物联化”就是包括了物联网的概念在里面,概括出地球中有生命迹象的物体都能被感测到,无论通过什么样的方法,科学能够到达的地方想感测物体都可以感测。 IBM还举例说明,“智慧地球”已经完全成熟,可以推广应用,该公司完全有能力提供“智慧地球”的相关信息技术和解决方案。 李毅中则强调说,“智慧地球”就是通过在基础设施和制造业上大量设立传感器,捕捉运行过程中的各种信息,然后通过传感网,进入互联网,通过计算机分析处理发出智慧指令,再反馈回去,到传感器,到基础设施和制造业上,极大提高效率,产生更大的效益。美国试图用它的信息网络技术,小到控制一台计算机、一台发电机,大到控制一个行业,控制各国的经济。所以,对于外国这些新的理念和新的战略,我们既要有启迪,大力发展战略性新兴产业,也要提高警惕,不能受制于人。 对国外电子科技技术的依赖,对中国经济影响极为严重。此前有报道称,苹果iPhone拥有高达200%的毛利,但代工企业富士康的毛利仅为2%,富士康相关人员以“悲哀”形容这一现象。仅仅一款产品尚且如此,如果整个产业都是这样,后果可想而知。 IBM“智慧地球”威胁国家信息安全 比个人利益更为重要的是国家利益,比经济得失更要害的是国家信息安全。李毅中从经济角度谈到了美国对中国的控制,但有业内人士认为,中国更需要警惕“智慧地球”对我国信息安全乃至国家安全的危害。 2009年2月开始,IBM在中国以极其猛烈的方式推广“智慧地球”概念,包括建立中文网站,在门户网站,电视媒体,公交站台等进行广告轰炸,举办各种研讨会进行宣传,这种宣传力度在其他国家是罕见的。IBM商务人员积极的在中国企业和政府部门中推广“智慧地球”应用,并开始达成诸多协议。 在IBM的宣传中,“智慧地球”所包括的领域极为广泛,有电网、铁路、桥梁、隧道、公路、建筑、供水系统、大坝、油气管道等等。这些领域涉及到了民生基建和国家战略,甚至是军事领域的信息。专家认为,如果这些信息被国外IT巨头获取或被他国操纵,造成的后果是不可想象的。 “IBM公司是与美国国家战略挂钩的公司,我国如与其合作的话,上述领域和金融领域的动态信息将很容易被IBM等IT巨头获取或操纵,进而被美国政府所利用。还有一种风险是通过IBM公司的软件系统,军事人员也完全可以反向操控上述设备。”中国科学院虚拟经济与数据科学研究中心客座研究员刘锋无比担忧地说。 此前,还曾有业内人士提出,中国安全部门应该关注以下3个疑问:1、IBM“智慧地球”在中国实施的时候,涉及中国国家安全的信息如何得到保证?2、中国大型行业企业,中国地方政府与IBM“智慧地球”项目合作时,如何保证国家基础设施关键信息不会外泄?3、IBM为什么在中国大力推广“智慧地球”,在世界其他国家为什么没有这种力度? 我国物联网研究与国际同步 不可否认,IBM超前的技术和出色的产品对信息产业的发展有非凡的引领意义,但是否信息产业每一个链条都要依赖于IBM呢?中国“物联网”战略要成功,是否必须跟随IBM所谓“智慧地球”的脚步呢?世界其余国家也都在加大物联网研发力度,中国的研究在国际上处于怎样的地位? 对此,李毅中认为,我国物联网研究与国际同步。他表示,当前各地对于物联网都非常重视,工信部和江苏省无锡市正在组建国家级物联网研发中心。 “(我们国家的)物联网有一定的基础,在国际水平线上,我们并不落后。”李毅中说。 中国科学院上海微系统与信息技术研究所副所长、国家物联网技术产业联盟筹备组组长刘海涛日前也曾经表示,中国物联网技术发展与国际同步,并已在诸多行业得到初步应用,而利用物联网技术,上海世博会园区的防入侵系统正在工程实施中。 --- [Terminusbot](https://github.com/TerminusBot) 整理,讨论请前往 [2049bbs.xyz](http://2049bbs.xyz/) --- 空空追梦 我有一利刃,名曰鲁迅锋,昔年常屠狗,今束高阁中 2楼 大 中 小 发表于 2010-4-20 20:23 只看该作者 妈逼土老帽李毅中,你丫也就适合管个安全生产,装腔作势拍两下桌子,管高科技信息产业,你也不撒泡尿看看你那张狗脸,你也不测测自己智商。 希望IBM跟着谷歌推出中国,当然,不大可能 [ 本帖最后由 空空追梦 于 2010-4-20 20:25 编辑 ] 救赎的旅程 3楼 大 中 小 发表于 2010-4-20 20:28 只看该作者 李毅中这丫当安监总局局长时矿难不断,结果他摇身一变成了工信部部长,后台应该很硬 deidei 这个世界对待一切都很认真,这很过分。 4楼 大 中 小 发表于 2010-4-20 21:42 只看该作者 建议将 思科剔除出GFW,保持长城的纯洁性 Yhard 5楼 大 中 小 发表于 2010-4-20 22:06 只看该作者 同2楼 采花的汉子 6楼 大 中 小 发表于 2010-4-20 22:12 只看该作者 为了避免遭受他国或他人控制,我觉得我党该让我们都回归原始生活模式,别搞经济了,更别搞什么世博会了,劳民伤财! 702781 路逢剑客须呈剑。不是诗人不献诗 7楼 大 中 小 发表于 2010-4-20 22:43 只看该作者 人家IBM致力于石墨烯技术,致力于power 7芯片,高性能运算,等等一切推进人类科技发展的科学研究,TG这帮受迫害狂为什么总是觉得人家是在害自己?为什么脑海里只有对抗没有合作?这他妈的是个什么鸟国家啊! symart 8楼 大 中 小 发表于 2010-4-20 23:13 只看该作者 引用: > 原帖由 采花的汉子 于 2010-4-20 22:12 发表 > ![](https://1984bbs.com/images/common/back.gif) > 为了避免遭受他国或他人控制,我觉得我党该让我们都回归原始生活模式,别搞经济了,更别搞什么世博会了,劳民伤财! +1984 我朝共产 内心抗争的屁民一个——“为什么要给畜牲自由?它们一代代的命运就是套上枷锁,接受鞭挞。” @huicn 9楼 大 中 小 发表于 2010-4-20 23:59 只看该作者 个位现看看IBM的背景再骂吧 反动学术权威 来自上海新东方学校,小组内提供免费GRE和SAT辅导 10楼 大 中 小 发表于 2010-4-21 00:03 只看该作者 引用: > 原帖由 我朝共产 于 2010-4-20 23:59 发表 > ![](https://1984bbs.com/images/common/back.gif) > 个位现看看IBM的背景再骂吧 请普及相关知识 饭碗 11楼 大 中 小 发表于 2010-4-21 00:05 只看该作者 IBM自打提出电子商务概念以来,已经甩开其他IT公司几条街.上次在网上参加智慧地球活动,越发觉得做为行业龙头老大已经要成仙了. 另外,李部长您OUT了,马上4G技术就要来了.移动憋足了劲等着呢! mwcloud 12楼 大 中 小 发表于 2010-4-21 00:06 只看该作者 中国从来不缺人才 但中国更加不缺拍屁股以求政绩的领导 iamiam 13楼 大 中 小 发表于 2010-4-21 00:25 只看该作者 确实是,我也怀疑,连工业安全都管不好 突然来管电信,网络这么专业的部门 就和以前财政部的高强去管卫生部一样 benza 单手扶墙,暗自神伤。 14楼 大 中 小 发表于 2010-4-21 00:39 只看该作者 能不能不这样说话呀,不喜欢共产党就不喜欢他,但爱国是无条件的吧,不要一直绕在里面,不好玩! 说点有涵量的话,这样才好玩吗... 空空追梦 我有一利刃,名曰鲁迅锋,昔年常屠狗,今束高阁中 15楼 大 中 小 发表于 2010-4-21 04:05 只看该作者 这不是什么爱国不爱国的问题,也不是什么经济背景的问题,虽然我并不认为爱国是无条件的,这个问题暂时不谈。 中国地质3G、Wifi等国际标准,貌似用自己的土标准来对抗所谓的国际专利霸权,其实是阻碍技术的发展和全球化。 我不想听什么IBM公司的背景,作为一个公司,他推广产品是为了自己获利天经地义,但是不是能够给人类带来便利和进步才是关键。 中国的土标准后面都有太子党操控的公司,他们在地域国际通行的技术标准的同时,是为了让自己的子侄获益。 节省专利费和带来的损失和不便利相比孰重孰轻?再者,我以为,支持我们的土标准就算花钱较少,也是资敌,最终还是会被太子党们转移到国外。还不如为国际上办实事的企业制定的国际标准买单。 和你们一样贱 悟空,快变成护茎套,为师要亲自收拾这妖精 16楼 大 中 小 发表于 2010-4-21 04:09 只看该作者 引用: > 原帖由 空空追梦 于 2010-4-21 04:05 发表 > ![](https://1984bbs.com/images/common/back.gif) > 这不是什么爱国不爱国的问题,也不是什么经济背景的问题,虽然我并不认为爱国是无条件的,这个问题暂时不谈。 > > 中国地质3G、Wifi等国际标准,貌似用自己的土标准来对抗所谓的国际专利霸权,其实是阻碍技术的发展和 ... 同。。。。 另外,什么狗屁国家安全,关我们p民鸟事,还不就是土共自己的安全 淫民力量 相信淫民的力量 17楼 大 中 小 发表于 2010-4-21 08:08 只看该作者 说白了,丫李的就一世博..... RT: 无机客 18楼 大 中 小 发表于 2010-4-21 08:11 只看该作者 引用: > 原帖由 702781 于 2010-4-20 22:43 发表 > ![](https://1984bbs.com/images/common/back.gif) > 人家IBM致力于石墨烯技术,致力于power > 7芯片,高性能运算,等等一切推进人类科技发展的科学研究,TG这帮受迫害狂为什么总是觉得人家是在害自己?为什么脑海里只有对抗没有合作?这他妈的是个什么鸟国家啊! +1984 另外,关键是公平竞争。TG推行的标准,实际是依靠手中权力来推行,而非市场选择。 satanla 不管多难,天会再蓝。 19楼 大 中 小 发表于 2010-4-21 08:59 只看该作者 回复 15楼 benza 的话题 愛國,你也太看得起自己了。國是你的嗎?國是黨的,和你有一毛錢的關係沒?是你能愛的嗎?小心告你個顛覆國家政權,判你個三千年五千年的,不自量力。 西弗 20楼 大 中 小 发表于 2010-4-21 09:15 只看该作者 物联网的防火墙咋建捏? Yhard 21楼 大 中 小 发表于 2010-4-21 09:16 只看该作者 国是党的女人,不是屁民们说爱就能爱的 引用: > 原帖由 satanla 于 2010-4-21 08:59 发表 > ![](https://1984bbs.com/images/common/back.gif) > 愛國,你也太看得起自己了。國是你的嗎?國是黨的,和你有一毛錢的關係沒?是你能愛的嗎?小心告你個顛覆國家政權,判你個三千年五千年的,不自量力。 丝丝兔 专业围观群众 22楼 大 中 小 发表于 2010-4-21 09:18 只看该作者 引用: > 原帖由 benza 于 2010-4-21 00:39 发表 > ![](https://1984bbs.com/images/common/back.gif) > 能不能不这样说话呀,不喜欢共产党就不喜欢他,但爱国是无条件的吧,不要一直绕在里面,不好玩! > 说点有涵量的话,这样才好玩吗... 我就认为爱国是有条件的。如果这个国不把我当人看、只当头驴、或者个屁,我干嘛还要恬着脸帖过去呢? hellgate 23楼 大 中 小 发表于 2010-4-21 11:41 只看该作者 这年头大谈爱国的不是智商有问题就是心理有问题。李毅中真是一世博。 CCAV CCAV隐藏大BOSS;坐等下次兴邦。 24楼 大 中 小 发表于 2010-4-21 11:48 只看该作者 引用: > 原帖由 救赎的旅程 于 2010-4-20 20:28 发表 > ![](https://1984bbs.com/images/common/back.gif) > 李毅中这丫当安监总局局长时矿难不断,结果他摇身一变成了工信部部长,后台应该很硬 李毅中这个2b怎么还不去死! roleyzhang 25楼 大 中 小 发表于 2010-4-21 11:55 只看该作者 给他个电容器,让他建设中国的信息事业吧 CCAV CCAV隐藏大BOSS;坐等下次兴邦。 26楼 大 中 小 发表于 2010-4-21 12:50 只看该作者 引用: > 原帖由 饭碗 于 2010-4-21 00:05 发表 ![](https://1984bbs.com/images/common/back.gif) > IBM自打提出电子商务概念以来,已经甩开其他IT公司几条街.上次在网上参加智慧地球活动,越发觉得做为行业龙头老大已经要成仙了. > 另外,李部长您OUT了,马上4G技术就要来了.移动憋足了劲等着呢! 李毅中就是个sb。不过智慧的地球也就是IBM忽悠人的,从05年开始,每2年IBM会提出一个理念,忽悠人买它的服务。它现在已经不是行业老大了,谷歌,微软,甲骨文,sun,sap等等都已经赶上,或者超越它了。 yylbb78 凌晨4点起床 27楼 大 中 小 发表于 2010-4-21 13:05 只看该作者 虽然还是同一个中国,同一个中共,这个新闻更象上世纪的某个报道 hellowalle 28楼 大 中 小 发表于 2010-4-21 14:17 只看该作者 小弟我手提一块砖,谁爱国,我砸谁! robust 29楼 大 中 小 发表于 2010-4-21 15:03 只看该作者 确实有害党国和党卫军的安全,有害天朝和谐 Cary http://twitter.com/isnofate 30楼 大 中 小 发表于 2010-4-21 15:19 只看该作者 不想办法融入这个世界,而是架起高墙,落后了,当然受制于人…… wang3 31楼 大 中 小 发表于 2010-4-21 15:30 只看该作者 再接下来丫该提脑波控制了吧。 waiting_it 32楼 大 中 小 发表于 2010-4-21 15:56 只看该作者 引用: > 原帖由 hellowalle 于 2010-4-21 14:17 发表 > ![](https://1984bbs.com/images/common/back.gif) > 小弟我手提一块砖,谁爱国,我砸谁! 我给你搬砖头,呵呵 腐皮 33楼 大 中 小 发表于 2010-4-21 15:57 只看该作者 当自己对内根基不稳的时候,宣扬外敌是最好的转移方法。哼哼。希特勒,小日本莫不如此 发粪涂墙 34楼 大 中 小 发表于 2010-4-21 18:52 只看该作者 全球化很危险、世贸很危险!退出国际市场,完全断绝对外联系! 摔摔 微勃者,黑莓控,无业游民,强烈围观~ 35楼 大 中 小 发表于 2010-4-21 18:58 只看该作者 爱国不是爱党,各位不要费心了 我就爱国,但是我不爱党~ cinepo 我是爱你们的 36楼 大 中 小 发表于 2010-4-21 20:22 只看该作者 其实搞这种虚无缥缈的概念中国人是蛮在行的 春风楼主 偶就他妈的打酱油的,偶尔围观下......... 37楼 大 中 小 发表于 2010-4-21 21:00 只看该作者 回到过去几百年闭关锁国多省事儿。 mmikez 天天出差 38楼 大 中 小 发表于 2010-4-21 21:37 只看该作者 t智慧地球感觉和物联网是一个概念 菩提一叶 Essays,palm,blues,my Precious ! 39楼 大 中 小 发表于 2010-4-21 22:41 只看该作者 什么都有两面性的,要发展,就要面对它不利的一面 snip3r 40楼 大 中 小 发表于 2010-4-21 22:47 只看该作者 http://www-900.ibm.com/ibm/ideas ... terplanet/20081106/ 大家看看IBM公司的阴谋,哈哈 按照郎咸平教授的力量,IBM这是产业资本入侵,更可怕的是这方面我们国家空白,不要说抵抗,连螳臂挡车的都没有,哇咔咔 黄阿狗 金玉其内 败絮其外 41楼 大 中 小 发表于 2010-4-21 23:03 只看该作者 引用: > 原帖由 CCAV 于 2010-4-21 12:50 发表 > ![](https://1984bbs.com/images/common/back.gif) > > > 李毅中就是个sb。不过智慧的地球也就是IBM忽悠人的,从05年开始,每2年IBM会提出一个理念,忽悠人买它的服务。它现在已经不是行业老大了,谷歌,微软,甲骨文,sun,sap等等都已经赶上,或者超越它了。 兄弟你太牛逼了 SUN也原地满血复活了么? mwcloud 42楼 大 中 小 发表于 2010-4-21 23:17 只看该作者 引用: > 原帖由 hellowalle 于 2010-4-21 14:17 发表 > ![](https://1984bbs.com/images/common/back.gif) > 小弟我手提一块砖,谁爱国,我砸谁! 你有购砖发票不 没有?!非法持有板砖罪!! hellgate 43楼 大 中 小 发表于 2010-4-22 10:30 只看该作者 板砖实名制已经提上日程 咸鱼干 米国西太平洋大学性学博士、哥伦逼样大学女性心理学博导、加州理工大学前戏研究室主任 44楼 大 中 小 发表于 2010-4-22 10:35 只看该作者 李易肿这个老王八欠这么多矿工的血债,竟然屹立不倒,真乃神话。 Crix 游弋在天朝的玩偶 45楼 大 中 小 发表于 2010-4-22 10:38 只看该作者 哥几个已经把我想说的都说了……我严重同意~! vip001 本人大量收购航空母舰,F22,F35,航天飞机,并且专业维修 46楼 大 中 小 发表于 2010-4-22 21:36 只看该作者 老比 td-scdma的事你还不长教训呀?看来有些人说的没有错你和温一样不懂经济。 kirk1031 47楼 大 中 小 发表于 2010-4-22 23:21 只看该作者 再自己搞个WAPI... 小猪熊 48楼 大 中 小 发表于 2010-4-23 15:04 只看该作者 建议收买杀手 把这老家伙解决掉! dada 不明真相群众 49楼 大 中 小 发表于 2010-4-23 18:16 只看该作者 长见识 不顺 50楼 大 中 小 发表于 2010-4-23 21:49 只看该作者 本朝敌视一切文明和进步。 51 12››
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README.md
TangramDev/UniverseWeb
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README.md
TangramDev/UniverseWeb
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README.md
TangramDev/UniverseWeb
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# UniverseWeb Universe Web Resource
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articles/supply-chain/production-control/tasks/create-production-flow-version.md
MicrosoftDocs/Dynamics-365-Operations.tr-tr
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articles/supply-chain/production-control/tasks/create-production-flow-version.md
MicrosoftDocs/Dynamics-365-Operations.tr-tr
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2019-04-30T11:46:11.000Z
articles/supply-chain/production-control/tasks/create-production-flow-version.md
MicrosoftDocs/Dynamics-365-Operations.tr-tr
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--- title: Üretim akışı sürümü oluşturma description: Bu yordam, yeni bir üretim akışı sürümünü oluşturmaya odaklanır. author: johanhoffmann ms.date: 11/03/2017 ms.topic: business-process ms.prod: '' ms.technology: '' audience: Application User ms.reviewer: kamaybac ms.search.region: Global ms.search.industry: Manufacturing ms.author: johanho ms.search.validFrom: 2016-06-30 ms.dyn365.ops.version: AX 7.0.0 ms.openlocfilehash: 5b72d6162edd0ae6ccbfdcfe3e63ecff30528454 ms.sourcegitcommit: 3b87f042a7e97f72b5aa73bef186c5426b937fec ms.translationtype: HT ms.contentlocale: tr-TR ms.lasthandoff: 09/29/2021 ms.locfileid: "7569272" --- # <a name="create-a-production-flow-version"></a>Üretim akışı sürümü oluşturma [!include [banner](../../includes/banner.md)] Bu yordam, yeni bir üretim akışı sürümünü oluşturmaya odaklanır. Bu yordam için yalın üretim ve sınıf zaman ölçümü birimleri için üretim parametreleri tanımlanmalıdır. Ayrıca bir değer akışı ve üretim grubu tanımlamanız gerekir. Üretim akışları ve yalın üretim faaliyetleri hakkında daha fazla bilgi için Microsoft Dynamics AX için yalın üretim teknik incelemelerine bakın. Bu yöntemi oluşturmak için kullanılan demo veri şirketi USMF'dir. ## <a name="create-a-production-flow"></a>Üretim akışı oluşturun 1. Üretim kontrolü > Kurulum > Yalın üretim akışı > Üretim akışları seçeneğine gidin. 2. Yeni'ye tıklayın. 3. İsim alanına bir değer yazın. 4. Açıklama alanına bir değer girin. 5. Ad alanında, açılır menü düğmesine tıklayarak aramayı açın. 6. Listede, seçili satırdaki bağlantıya tıklayın. * Değer akış türünde bir işletme birimi seçin. Bir değer akışı, değer akışının tüm aktivitelerini ve hareketlerini kapsayan işletme bir birimidir. Bu aşamada, işletme birimleri bir tüzel varlık ile sınırlıdır ve hiçbir ek işlevselliğe sahip değildirler. 7. Üretim grubu alanında, aramayı açmak için açılır menü düğmesine tıklayın. 8. Listede, seçili satırdaki bağlantıya tıklayın. * Üretim akışı için bir üretim grubu seçin. Üretim grupları, bir üretim işlemi için malzeme, işçilik ve Süren iş hesaplarını tanımlamayı sağlar. Üretim akışını bir hesap bağlamıyla ilişkilendirmek için bir üretim grubu seçilmelidir. 9. Kaydet'e tıklayın. ## <a name="create-a-production-flow-version"></a>Üretim akışı sürümü oluşturma 1. Ekle öğesini tıklatın. 2. Bitiş tarihi alanına bir tarih ve saat girin. * Gerekirse, sürüm için bir sona erme tarihi tanımlayın. Etkin versiyonlar için bile verilen istediğiniz zaman güncelleştirebilirsiniz. Aşama bir sürümünü planlamak için kullanabilirsiniz. 3. Tamam'a tıklayın. 4. Listede, seçili satırı işaretleyin. 5. Birim alanına bir değer yazın. 6. Takt birimini ResolveChanges. 7. Ortalama takt zamanı alanına bir sayı girin. * Sürümün ortalama takt süresini tanımlayın. Üretim akışı sürümünün takt denetimi için hedeflenen ortalama takt zamanını tanımlayın. Takt, zaman aralığına düşen miktar olarak tanımlanır. Örnekte, takt zamanı 10 parça başına 0.2 saattir. 8 saatlik bir çalışma zamanı için, günlük 400 parçalık üretim kapasitesine karşılık gelir. 8. Miktar esası döngüsü alanında bir sayı girin. * Ortalama takt zamanına düşen döngü başına miktarı tanımlayın. 9. Sürüm detayları bölümünün genişletilmiş görünümüne geçin. 10. Minimum takt zamanı alanına bir sayı girin. * Minimum takt zamanını tanımlayın. Minimum takt zamanı ortalama takt süresine eşit veya daha küçük olmalıdır. 11. Maksimum takt zamanı alanına bir sayı girin. * Maksimum takt zamanı ortalama takt süresine eşit veya daha büyük olmalıdır. 12. Döneme ait gerçek döngü süresi (gün) alanına bir sayı girin. * Döneme ait gerçek döngü süresini, gün sayısı olarak girin. Döneme ait gerçek döngü süresi, güncel dakikadan geriye yönelik toplanarak hesaplanan gerçek döngü süresinin gün olarak sayısıdır. Değer herhangi bir zamanda değiştirilebilir ve yalnızca gerçek döngü zamanının hesaplanması için kullanılır. 13. Kaydet'e tıklayın. [!INCLUDE[footer-include](../../../includes/footer-banner.md)]
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TroubleShooting.md
freezernick/kitty
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[ "Zlib" ]
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2019-10-14T23:59:28.000Z
2021-12-04T19:06:22.000Z
TroubleShooting.md
Tricky1975/kitty
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[ "Zlib" ]
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2019-10-03T18:21:04.000Z
2020-10-17T21:34:07.000Z
TroubleShooting.md
freezernick/kitty
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2019-10-14T16:40:52.000Z
2021-12-04T19:06:29.000Z
# Troubleshooting There are some issues with Kitty, and I didn't expect that elseway. First of all check the [Issue Tracker](https://github.com/Tricky1975/kitty/issues), where issues that are bound to be fixed will be addressed properly. These are issues I will NEVER fix, and I'll explain why ## Whitespace leads to funny results Whitespace technically does that what many tools avoid for many reasons. Making use of tabs and spaces. And since a lot of tools try not to bother these for reasons of being clean or avoiding needless RAM usage, and many other reasons, Whitespace can sometimes cause these intelligent features to trigger. Not a problem in a NORMAL programming language, but esolangs are never NORMAL, and WhiteSpace in particular is nasty for this reason. In the normal cmd and powershell windows Whitespace programs should display, as long as you don't resize your window. I do not know about Linux and MacOS, as I never tried (and don't plan to either). I used an advanced program for my console work in PowerShell, and there the tabs are not shown... figures... I hope it goes without saying, that these issues are out of my hands, and since Whitespace is only an esolang, I don't think I should even BOTHER fixing that even if I could. ## Some old BASIC programs show funny results That is an "issue" in BASIC. For some reasons beyond me (saving space is my guess) GW-BASIC, BASICA and other old BASIC interpreters don't save their source code as a plain text file, like C, C++, Pascal and many other programming languages do. This is not something I can "fix" as this is just how these old interpreters save those files. Now I know that when you load a file in GW-BASIC you can give this command to make it being saved in ASCII code: ~~~ SAVE "MYPROG.BAS",A ~~~ And then Kitty will be able to take it up. The same issue will (so I found out) also arise with AMOS if I ever support that language in Kitty. Kitty can only access plain text, and I don't intend to change that. ## Some words marked as keywords aren't and vice versa. Particulary with BASIC this can happen. There's hardly a language imaginable with that many dialects as BASIC, and I think it will even outrank C on this department. However where most dialects of C have completely different names and extensions, the extension .bas, has been common for GW-BASIC, BASICA, older versions of Visual BASIC, Free Basic, and many more. I hope you realize that it would be undoable to cover all these variants properly when .bas is the only way to recognize them. Even Visual BASIC used .bas in the past (although .vb is more common in modern version, thank goodness). So I had to pick as standard and I decided QBASIC had to be .bas Most programs written in GW-BASIC and even in BASIC variants for old home computers should be covered with that, although some keywords, like "DECLARE", "SUB" and "FUNCTION" came to BASIC in QBASIC and is not present in older versions, and QBASIC was also one of the first without the line number requirement to prefix every line with (something later dialects didn't support at all). And I wonder if the "DEF" keyword, which was in older BASIC versions a very primitive way to define functions (not even close to what modern BASIC versions can do), may even have vanished from many dialects now. I took NIBBLES.BAS, a game to demonstrate QBASIC even coded by Microsoft, as my standard. If NIBBLES.BAS would do I should consider BASIC as "supported". And hopefully most other dialects will use their own extensions.... In languages such as C, C++, Pascal, Go etc., you gotta note that these languages change too. I am really not sure if program coded in the first version of C would still work when using a C99 compiler (vice versa very likely not). And in Pascal for example, the DOS and Windows 3.11 compilers the keywords "near" and "far" were used to address the compiler to do stuff that would produce better results on 16bit processors, but since mordern 32/64bit processors don't even support those features those keywords became obsolete, and the first versions of C had no support for the "void" keyword or for single line comments, which modern versions have. Now most languages (except JavaScript maybe, which changes more than the weather) do not change that much anymore so overall Kitty should not notice many issues, but sometimes some changes can cause Kitty to "malfunction" due to stuff being removed or added over time. I hope you don't expect me to keep myself updated every day, and that there's no way for Kitty to tell which compiler version you use. ## Why isn't ClickTeam Fusion supported? Do you really need to ask? I'll only do plain text files. A "codeless" programming languages such as CTF, does (logically) not create such files.
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--- title: 25/09/17 layout: post author: oscar.hill permalink: /25/09/17/ source-id: 1A99vARe2y8KJdGV1qdIG-AtEh-f7WqfV5ThcjgJMLAY published: true --- Hey ZXOscar here, So today in It we made a discount code and attempted applying this discount towards the order. For this you will make a new sheet call Discount Codes. From here you make a table containing all of the codes that we could use. So you have 5 codes for 100%, 5 codes for 20% and 5 codes for 25%. Then you apply this cell using Vlookup onto the final order. I did not complete this task because i found it extremely tricky, therefore I am behind.
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KennethBlaney/rivescript-python
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KennethBlaney/rivescript-python
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2015-06-14T13:31:07.000Z
2022-02-14T23:02:19.000Z
eg/sessions/README.md
KennethBlaney/rivescript-python
87db472847ab526060afd9a5b8548e9689501a85
[ "MIT" ]
87
2015-04-18T23:15:18.000Z
2022-03-18T09:52:06.000Z
# Session Storage Example By default RiveScript stores all user variables and state in memory, with no automatic persistence to disk when the bot exits and restarts. RiveScript does provide functions to export and import user variables in bulk so that you can manually store and reload data, but an alternative is to use a third party session storage driver. The example bot at `redis-bot.py` uses a [Redis cache](http://redis.io/) to store user variables. To run the example you'll need to install and start a Redis server. ## Setup ```bash ### # 1. Install Redis ### # Fedora users: sudo dnf install redis # RHEL and CentOS <= 7 sudo yum install redis # Debian/Ubuntu sudo apt-get install redis-server ### # 2. Start the Redis server ### # Either do this to start it in a terminal window: redis-server # Or enable/start it with systemd. sudo systemctl enable redis.service sudo systemctl start redis.service ### # 3. Run this example bot. ### pip install -r requirements.txt python redis_bot.py ``` ## Example Output ``` % python redis_bot.py RiveScript Redis Session Storage Example This example uses a Redis server to store user variables. For the sake of the example, choose a username to store your variables under. You can re-run this script with the same username (or a different one!) and verify that your variables are kept around! Type '/quit' to quit. What is your username? kirsle You> Hello bot. Bot> How do you do. Please state your problem. You> My name is Noah. Bot> Noah, nice to meet you. You> Who am I? Bot> You told me your name is Noah. You> /quit % python redis_bot.py RiveScript Redis Session Storage Example This example uses a Redis server to store user variables. For the sake of the example, choose a username to store your variables under. You can re-run this script with the same username (or a different one!) and verify that your variables are kept around! Type '/quit' to quit. What is your username? kirsle You> What's my name? Bot> Your name is Noah. You> /quit ``` And the Redis cache can be verified via the `redis-cli` command: ``` % redis-cli 127.0.0.1:6379> keys * 1) "rs-users/kirsle" 127.0.0.1:6379> get rs-users/kirsle ...redacted large JSON blob... ```
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_posts/2016-03-12-gpu-for-linear-algebra.md
mrkwjc/mrkwjc.github.io
dfe48ba9046b7047267ec4cbb70bbef6470a99b1
[ "MIT" ]
null
null
null
_posts/2016-03-12-gpu-for-linear-algebra.md
mrkwjc/mrkwjc.github.io
dfe48ba9046b7047267ec4cbb70bbef6470a99b1
[ "MIT" ]
null
null
null
_posts/2016-03-12-gpu-for-linear-algebra.md
mrkwjc/mrkwjc.github.io
dfe48ba9046b7047267ec4cbb70bbef6470a99b1
[ "MIT" ]
null
null
null
--- layout: post title: GPU for linear algebra categories: - blog --- Recently i have prepared a small piece of code which compares a Nvidia `cuSolver` and `scipy.sparse.linalg.spsolve` preformance when solving sparse double precision linear system. Code is [here](https://gist.github.com/mrkwjc/ebb22e8b592122cc8be6). For comparison, i had at my disposal a Nvidia Quadro 2000M GPU and Intel i7-2820QM CPU. It turned out that GPU is a dozen or so couple of times slower than CPU in this computation. And i expected a speedup :worried:. I asked a [question](http://stackoverflow.com/questions/35942068/comparison-of-cuda-and-cpu-sparse-solver-speed-python) to verify if my benchmark code is OK. And people told me that simply i should not expect to much from this relatively old GPU. Checking this out i discovered that for Quadro 2000M the ratio DP/SP (double precision processing power over single precision) is about 1/24. Having for this card single precision processing power at 422 GFlops we get only 17 Gflops on double precision. The memory bandwidth is also about modest 28.8 GB/s. So my question is what is the performance of new Nvidia cards? And what to buy to be satisfied not spending to much money? Here is a table of potential choices retrieved from Wikipedia [article](https://en.wikipedia.org/wiki/List_of_Nvidia_graphics_processing_units). |--- | | SP | DP | DP/SP | Memory | Bandwidth | Cooling | Cost | |-|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:| | | [GFlops] | [GFlops] | - | GB | [GB/s] | | [PLN] | |Quadro 4000 | 486 | 243 | 1/2 | 2 | 89.6 | active | [800][Quadro4000] | |Quadro 5000 | 722 | 359 | 1/2 | 2.5 | 120 | active | [1500][Quadro5000] | |Quadro 6000 | 1028 | 515 | 1/2 | 6 | 144 | active | [1700][Quadro6000] | |Quadro 7000 | 1332 | 667 | 1/2 | 6 | 177 | ? | ? | |Tesla C2050 | | | | | | active | [700][C2050] | |Tesla M2050 | 1030 | 515 | 1/2 | 3 | 144 | passive | 700 | |Tesla C2070 | | | | | | active | [1100][C2070] | |Tesla C2075 | | | | | | active | [2000][C2075] | |Tesla M2070 | 1030 | 515 | 1/2 | 6 | 144 | passive | [250][M2070] | |Tesla M2090 | 1331 | 665 | 1/2 | 6 | 177 | passive | [1200][M2090] | |Tesla S2050 | 4121 | 2060 | 1/2 | 4x3 | 4x148 | passive | ? | |Tesla S2070 | 4121 | 2060 | 1/2 | 4x6 | 4x148 | | ? | |Tesla K20(C) | 3524 | 1175 | 1/3 | 5 | 208 | active | [9000][K20] | |Tesla K20X | 3935 | 1312 | 1/3 | 6 | 250 | passive | 4000 | |Tesla K40(C) | 5040 | 1680 | 1/3 | 12 | 288 | active | > 12000 | |Tesla K80 | 8736 | 2912 | 1/3 | 2x12 | 2x240 | passive | > 17000 | |GeForce GTX Titan | 4500 | 1500 | 1/3 | 6 | 288 | active | 2500 | |GeForce GTX Titan Black | 5120 | 1707 | 1/3 | 6 | 336 | active | [3000][TitanBlack] | |GeForce GTX Titan Z | 8121 | 2707 | 1/3 | 2x6 | 2x336 | active | > 10 k | --- It seems that the obly reasonable choice for my personal use is Tesla C2070 or C2075. Other cards can offer very good double precision performance but with a really high cost. P.S. The following link is interesting: * [K20 vs C2070](http://blog.accelereyes.com/blog/2013/02/21/benchmarking-tesla-k20) [M2090]: http://www.ebay.pl/itm/New-Genuine-Nvidia-Tesla-M2090-6GB-PCI-E-x16-GPU-D-Pn-0775NK-775NK-/281959467482 [M2070]: http://www.ebay.pl/itm/NVIDIA-TESLA-M2070-COMPUTING-PROCESSOR-6GB-GDDR5-CARD-/252292880607 [C2070]: http://www.ebay.pl/itm/New-Nvidia-Tesla-C2070-PCIe-2-0-6GB-1-5GHz-GGRD5-144GB-s-T20-GPU-Accelerator-/272151652533 [C2075]: http://www.ebay.pl/itm/nVidia-Tesla-C2075-6GB-massively-parallel-processing-GPU-Graphics-Card-/121899865225 [C2050]: http://www.ebay.pl/itm/NVIDIA-Tesla-C2050-Graphics-Card-3GB-GDDR5-PCI-e-2-0-x16-DVI-I-/111930668011 [K20]: http://www.ebay.pl/itm/NVIDIA-Tesla-K20-5GB-Kepler-GPU-Computing-Accelerator-C2J97AA-Video-Graphics-/231028386073 [Quadro6000]: http://www.ebay.pl/itm/HP-nVidia-Quadro-6000-Graphics-Card-PCI-Express-2-0-x16-6GB-GDDR5-612953-001-/291704822055 [Quadro5000]: http://www.ebay.pl/itm/NVIDIA-Quadro-5000-2-5GB-GDDR5-PCI-e-x16-DVI-Dual-DP-DELL-0JFN25-NEW-/151993048067 [Quadro4000]: http://www.ebay.pl/itm/nVidia-Quadro-4000-2GB-GDDR5-PCI-E-Video-Card-608533-002-616076-001-WS095AT-HP-/221133838362 [TitanBlack]: http://www.ebay.pl/itm/EVGA-GeForce-GTX-TITAN-BLACK-Superclocked-6GB-ACX-Cooler-Graphics-Card-/301894523238
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delay_proof_getter/README.md
isobe-h/daily-python-scripts
ef7c21c17d40a6be97e0676da7ca394d9accc9af
[ "MIT" ]
null
null
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delay_proof_getter/README.md
isobe-h/daily-python-scripts
ef7c21c17d40a6be97e0676da7ca394d9accc9af
[ "MIT" ]
null
null
null
delay_proof_getter/README.md
isobe-h/daily-python-scripts
ef7c21c17d40a6be97e0676da7ca394d9accc9af
[ "MIT" ]
null
null
null
### Overview This script saves proof of delay of Chiyoda-line from 8 ~ 9 AM as a pdf file from the Tokyo-metro official site. ### Usage Run 'run_on_mac.command' to save a pdf file. Not supported Windows yet. ### Requirements [pdfkit](https://pypi.org/project/pdfkit/)
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_posts/2016-08-18-Terani-Short-Dresses-Style-1523C0346.md
queenosestyle/queenosestyle.github.io
7b095a591cefe4e42cdeb7de71cfa87293a95b5c
[ "MIT" ]
null
null
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_posts/2016-08-18-Terani-Short-Dresses-Style-1523C0346.md
queenosestyle/queenosestyle.github.io
7b095a591cefe4e42cdeb7de71cfa87293a95b5c
[ "MIT" ]
null
null
null
_posts/2016-08-18-Terani-Short-Dresses-Style-1523C0346.md
queenosestyle/queenosestyle.github.io
7b095a591cefe4e42cdeb7de71cfa87293a95b5c
[ "MIT" ]
null
null
null
--- layout: post date: 2016-08-18 title: "Terani Short Dresses Style 1523C0346" category: Terani tags: [Terani] --- ### Terani Short Dresses Style 1523C0346 Just **$349.99** ### <table><tr><td>BRANDS</td><td>Terani</td></tr></table> <a href="https://www.readybrides.com/en/terani/75135-terani-short-dresses-style-1523c0346.html"><img src="//img.readybrides.com/177485/terani-short-dresses-style-1523c0346.jpg" alt="Terani Short Dresses Style 1523C0346" style="width:100%;" /></a> <!-- break --><a href="https://www.readybrides.com/en/terani/75135-terani-short-dresses-style-1523c0346.html"><img src="//img.readybrides.com/177486/terani-short-dresses-style-1523c0346.jpg" alt="Terani Short Dresses Style 1523C0346" style="width:100%;" /></a> <a href="https://www.readybrides.com/en/terani/75135-terani-short-dresses-style-1523c0346.html"><img src="//img.readybrides.com/177487/terani-short-dresses-style-1523c0346.jpg" alt="Terani Short Dresses Style 1523C0346" style="width:100%;" /></a> <a href="https://www.readybrides.com/en/terani/75135-terani-short-dresses-style-1523c0346.html"><img src="//img.readybrides.com/177484/terani-short-dresses-style-1523c0346.jpg" alt="Terani Short Dresses Style 1523C0346" style="width:100%;" /></a> Buy it: [https://www.readybrides.com/en/terani/75135-terani-short-dresses-style-1523c0346.html](https://www.readybrides.com/en/terani/75135-terani-short-dresses-style-1523c0346.html)
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questions/Algorithms/0541. Reverse String II/README_ZH.md
TechStudyGroup/leetcode
e013436e52d16090a6138689804f714329388330
[ "MIT" ]
9
2019-08-15T05:09:40.000Z
2021-05-01T09:26:59.000Z
questions/Algorithms/0541. Reverse String II/README_ZH.md
TechStudyGroup/leetcode
e013436e52d16090a6138689804f714329388330
[ "MIT" ]
135
2019-09-26T03:40:11.000Z
2022-02-02T04:15:39.000Z
questions/Algorithms/0541. Reverse String II/README_ZH.md
TechStudyGroup/leetcode
e013436e52d16090a6138689804f714329388330
[ "MIT" ]
1
2022-01-05T01:43:17.000Z
2022-01-05T01:43:17.000Z
### [反转字符串 II](https://leetcode-cn.com/problems/reverse-string-ii) <p>给定一个字符串 <code>s</code> 和一个整数 <code>k</code>,从字符串开头算起,每计数至 <code>2k</code> 个字符,就反转这 <code>2k</code> 字符中的前 <code>k</code> 个字符。</p> <ul> <li>如果剩余字符少于 <code>k</code> 个,则将剩余字符全部反转。</li> <li>如果剩余字符小于 <code>2k</code> 但大于或等于 <code>k</code> 个,则反转前 <code>k</code> 个字符,其余字符保持原样。</li> </ul> <p>&nbsp;</p> <p><strong>示例 1:</strong></p> <pre> <strong>输入:</strong>s = "abcdefg", k = 2 <strong>输出:</strong>"bacdfeg" </pre> <p><strong>示例 2:</strong></p> <pre> <strong>输入:</strong>s = "abcd", k = 2 <strong>输出:</strong>"bacd" </pre> <p>&nbsp;</p> <p><strong>提示:</strong></p> <ul> <li><code>1 &lt;= s.length &lt;= 10<sup>4</sup></code></li> <li><code>s</code> 仅由小写英文组成</li> <li><code>1 &lt;= k &lt;= 10<sup>4</sup></code></li> </ul>
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docs/_posts/2012-11-27-The-beginning.md
Dovgaluk/Relay
69fcbb377f25b0176a2b5c5a73d1e4d0e744d261
[ "Apache-2.0" ]
null
null
null
docs/_posts/2012-11-27-The-beginning.md
Dovgaluk/Relay
69fcbb377f25b0176a2b5c5a73d1e4d0e744d261
[ "Apache-2.0" ]
null
null
null
docs/_posts/2012-11-27-The-beginning.md
Dovgaluk/Relay
69fcbb377f25b0176a2b5c5a73d1e4d0e744d261
[ "Apache-2.0" ]
null
null
null
--- layout: post title: "The beginning" --- This repository was created to describe building of retro-style relay computer. I was inspired by the following implementations of relay computers: [Relay computer](http://web.cecs.pdx.edu/~harry/Relay/) ![](http://web.cecs.pdx.edu/~harry/Relay/index-Thumbnails/0.jpg) [Relay computer two](http://www.electronixandmore.com/projects/relaycomputertwo/index.html)
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languages/ruby/concepts/strings/about.md
AlexLeSang/v3
3d35961a961b5a2129b1d42f1d118972d9665357
[ "MIT" ]
200
2019-12-12T13:50:59.000Z
2022-02-20T22:38:42.000Z
languages/ruby/concepts/strings/about.md
AlexLeSang/v3
3d35961a961b5a2129b1d42f1d118972d9665357
[ "MIT" ]
1,938
2019-12-12T08:07:10.000Z
2021-01-29T12:56:13.000Z
languages/ruby/concepts/strings/about.md
AlexLeSang/v3
3d35961a961b5a2129b1d42f1d118972d9665357
[ "MIT" ]
239
2019-12-12T14:09:08.000Z
2022-03-18T00:04:07.000Z
TODO: add information on strings concept
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README.md
LilianMathu/signup-and-Login
0b668df8d348cb8ee2718718c147b2ca923a646a
[ "Apache-2.0" ]
1
2020-06-16T07:35:24.000Z
2020-06-16T07:35:24.000Z
README.md
LilianMathu/signup-and-Login
0b668df8d348cb8ee2718718c147b2ca923a646a
[ "Apache-2.0" ]
1
2021-09-02T12:12:59.000Z
2021-09-02T12:12:59.000Z
README.md
LilianMathu/signup-and-Login
0b668df8d348cb8ee2718718c147b2ca923a646a
[ "Apache-2.0" ]
null
null
null
# signup-and-Login
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README.md
dantrim/truth_level_analysis
3db883b328a87a5ab1771f59638db7288583d005
[ "MIT" ]
null
null
null
README.md
dantrim/truth_level_analysis
3db883b328a87a5ab1771f59638db7288583d005
[ "MIT" ]
null
null
null
README.md
dantrim/truth_level_analysis
3db883b328a87a5ab1771f59638db7288583d005
[ "MIT" ]
null
null
null
# truth_level_analysis Analysis code for processing the ATLAS TRUTHX data format # Requirements Be on a machine with access to `/cvmfs/`. # Expectation This code likes to run over **TRUTH1** format. Get out of here with that **TRUTH3** racket. # Building and Running ```bash mkdir analysis_dir; cd analysis_dir mkdir source; cd source asetup "AnalysisBase,21.2,latest,here" git clone [email protected]:dantrim/truth_level_analysis.git cd .. mkdir build; cd build cmake ../source make -j source x86_64*/setup.sh run_truth_test ``` In reality, replace the executable `run_truth_test` with the one you want. # Structure The C++ header (re:**\*.h**) files are located in the directory *truth_level_analysis/*. The C++ source (re:**\*.cxx**) files are located in *src/*. Main applications/executables are locatedin *util/*. The `CMakeLists.txt` file will pick up any file in these directories and will build an executable out of any main application in *util/*, there is no need to explicitly add it. # Current Goings On Here is a listing of the current analysis loopers that can process input TRUTH DAODs: |Executable| Looper Class (source) | Purpose| |----------|-----------------------|--------| |run_hh_validation | HHTruthValidation (hh_truth_validation) | Process HH signal samples and make generator/filter validation histograms | |run_ttmet_validation| TtMetTruthValidation (ttmet_truth_vadliation) | Process 2L tt+MET signal samples and make generator/filter validation histograms |
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src/reviews/movies/iron-man-3.md
andy-bond/andy.bond
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src/reviews/movies/iron-man-3.md
andy-bond/andy.bond
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[ "MIT" ]
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null
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src/reviews/movies/iron-man-3.md
andy-bond/andy.bond
44b7a535d4de894a7f95766bf8f3faefab1994fb
[ "MIT" ]
1
2021-12-18T10:26:58.000Z
2021-12-18T10:26:58.000Z
--- title: Iron Man 3 subtitle: Shane Black series: Marvel Cinematic Universe seriesIndex: 7 rating: 6 date: 2013-05-03 image: src/static/img/movie-iron-man-3.jpg category: movie ---
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articles/supply-chain/troubleshooting/warehousing/slotting-templates-inventory-batch-above.md
MicrosoftDocs/Dynamics-365-Operations.lv-lv
a3ee3e2ebb842b3b84c6da7bbe03879bef1a5145
[ "CC-BY-4.0", "MIT" ]
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2017-11-10T02:20:23.000Z
2021-04-20T21:13:46.000Z
articles/supply-chain/troubleshooting/warehousing/slotting-templates-inventory-batch-above.md
MicrosoftDocs/Dynamics-365-Operations.lv-lv
a3ee3e2ebb842b3b84c6da7bbe03879bef1a5145
[ "CC-BY-4.0", "MIT" ]
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2017-12-08T15:26:58.000Z
2019-04-30T11:45:57.000Z
articles/supply-chain/troubleshooting/warehousing/slotting-templates-inventory-batch-above.md
MicrosoftDocs/Dynamics-365-Operations.lv-lv
a3ee3e2ebb842b3b84c6da7bbe03879bef1a5145
[ "CC-BY-4.0", "MIT" ]
1
2019-10-12T18:17:21.000Z
2019-10-12T18:17:21.000Z
--- title: Rīcībā esošie krājumi, kas nav ņemti vērā attiecībā uz vienībām virs partijas description: Dažas slotu veidnes apsver pašreizējos rīcībā esošos krājumus vienībām virs partijas. Partijas vai sērijas numurs ir jānorāda pieprasījuma pasūtījumā. author: perlynne ms.date: 06/24/2021 ms.topic: troubleshooting audience: Application User ms.reviewer: kamaybac ms.search.region: Global ms.author: perlynne ms.search.validFrom: 2021-06-24 ms.dyn365.ops.version: 10.0.20 ms.openlocfilehash: df5642b32f5e053144230eab3dbcf633f526279a ms.sourcegitcommit: 2d6e31648cf61abcb13362ef46a2cfb1326f0423 ms.translationtype: HT ms.contentlocale: lv-LV ms.lasthandoff: 09/07/2021 ms.locfileid: "7476984" --- # <a name="slotting-templates-dont-consider-on-hand-inventory-for-batch-above-items"></a>Slotu veidnes apsver rīcībā esošos krājumus vienībām virs partijas ## <a name="symptoms"></a>Simptomi Nišu veidnes, kurām ir *Rīcībā esošais nišas kritērijs*, neuztver pašreizējos rīcībā esošos krājumus *virs partijas* iespējotiem krājumiem. Viņi to apsver, ja partijas numurs ir norādīts pārdošanas pasūtījuma rindā. Tomēr, ja izmantojat partijas krājumus, kas ir *zemāki par krājumiem*, pašreizējie rīcībā esošie krājumi tiek uzskatīti par paredzamiem. Plašāku informāciju skatiet [Noliktavas niša](/dynamics365/supply-chain/warehousing/warehouse-slotting). ## <a name="resolution"></a>Novēršana Slotēšanas veidnes virsrakstu var definēt stratēģijai *Pasūtīts*, *Rezervēts* vai *Nodots izpildei*. *Pasūtītā* pieprasījuma stratēģijai tiek lietotas tās pašas rezervāciju hierarhijas prasības, kas attiecas uz rezervācijas vai izlaišanas noliktavas procesiem. Tāpēc krājumiem, kuru pakešuzdevums atrodas *virs* un sērijas atrodas *zem* rezervāciju hierarhijām, pieprasījuma pasūtījumā (pārdošana vai pārsūtīšana) ir jānorāda paketes vai sērijas numurs. Alternatīvi *Rezervētā* pieprasījuma stratēģiju var izmantot, lai atlasītu partiju vai sērijas numuru pirms noliktavas pieprasījuma ģenerēšanas noliktavas slotā.
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README.md
nypl-spacetime/qgis-trace-tutorial
ffa40f19dcf1a767e06917b1a80149237898adbd
[ "MIT" ]
10
2017-01-31T18:41:38.000Z
2020-08-24T07:51:27.000Z
README.md
nypl-spacetime/qgis-trace-tutorial
ffa40f19dcf1a767e06917b1a80149237898adbd
[ "MIT" ]
2
2017-02-02T19:26:23.000Z
2017-02-06T02:34:23.000Z
README.md
nypl-spacetime/qgis-trace-tutorial
ffa40f19dcf1a767e06917b1a80149237898adbd
[ "MIT" ]
null
null
null
# Tutorial: Tracing Historical Streets with QGIS New York's streets have changed a lot over time: new street grids were projected over old farm roads, housing projects were constructed, often spanning multiple city blocks, and the construction of highways, too, drastically changed the street layout of the city's neighborhoods. Some examples: - [1857 map of the Lower East Side](http://maps.nypl.org/warper/maps/7135#Preview_tab) - [Talman Street in Brooklyn](http://maps.nypl.org/warper/maps/19260#Preview_tab), gone after the construction of the Brooklyn-Queens Expressway (today, there is [no more Talman Street](https://www.openstreetmap.org/search?query=talman%20street%2C%20brooklyn#map=17/41.52250/-72.07183) to be found in New York City) [![](images/talman-street.jpg)](https://digitalcollections.nypl.org/items/510d47d9-4f8c-a3d9-e040-e00a18064a99) Yet, it's very important having data about the changing names and shapes of New York City's streets; we need this data to to georeference [city directories](https://digitalcollections.nypl.org/items/3ec3e000-5298-0134-997b-00505686a51c#/?uuid=4223d090-5298-0134-198a-00505686a51c), to make maps of [historical photos](https://www.oldnyc.org/), and to allow patrons to geographically browse the Library's [Digital Collections](https://digitalcollections.nypl.org/). ## Contributing Historical street data are an important part of NYPL's [NYC Space/Time Directory project](http://spacetime.nypl.org/). By combining [data](http://buildinginspector.nypl.org/data) from [Building Inspector](http://buildinginspector.nypl.org/), NYPL's website for crowdsourced extraction of historical building footprints and addresses, with the locations and names of historical streets, it is possible to create search tools and visualizations for historical addresses. To see how this is done in detail, see https://github.com/bertspaan/tutorial-historical-addresses. The latest historical street data can be found here: https://github.com/nypl-spacetime/nyc-historical-streets. We have started tracing some of the maps ourselves, but there are many maps and atlases with which we need your help! How to contribute: - See https://github.com/nypl-spacetime/nyc-historical-streets for up-to-date list of maps and atlases - Fork the repository! - Use QGIS to make changes to a Shapefile - Submit a [pull request](https://help.github.com/articles/about-pull-requests/) __To keep track of who is doing what, please send an email to [email protected] before you start (or open an issue in the original GitHub repository.__ For more information about contributing to the NYC Space/Time Directory, see http://spacetime.nypl.org/#contributing (__coming soon!__). ## Getting Ready First, download [QGIS](http://www.qgis.org/en/site/forusers/download.html), and install the application by following their instructions. If all goes well, start QGIS, it should look a little like this: ![](images/qgis.png) ### Keyboard shortcuts By default, QGIS does not have very convenient keyboard shortcuts for creating and editing polygonal lines. This repository contains a QGIS shortcut definitions file: [`qgis-shortcuts.xml`](https://raw.githubusercontent.com/nypl-spacetime/qgis-trace-tutorial/master/qgis-shortcuts.xml). Download this file, choose _Settings ⟶ Configure Shortcuts..._, click _Load..._ and select the shortcut XML file. ![](images/configure-shortcuts.png) Keyboard shortcuts: - `E`: toggle editing mode on/off for the selected layer (prompts for save when toggling off) - `L`: draw a line (line type layer, editing mode on, right-click to stop drawing) - `N`: move a line node (connected nodes will move together) - `M`: move an entire line (connected nodes **do not** move together) - `I`: identify a line (opens a window with a form to edit line data) - `S`: select a line - `D`: delete selected line (identify does not select) - `Z`: zoom tool - `Delete` (`Fn+Delete` on Mac) deletes selected points - `Spacebar`: pan map tool - To finish editing a line, right click anywhere in the map ## This section describes creating a new street trace project in QGIS. ### Setting up - Create a new QGIS project - Make sure to set your project's coordinate system to _WGS 84 - EPSG:4326_ by clicking _Project ⟶ Project Properties... ⟶ CRS_ (or by clicking the projection in the status bar): ![](images/epsg4326.png) - Add the historical map as base layer: - Select _Layer ⟶ Add Layer ⟶ Add WMS/WMTS Layer..._ - Copy the _WMS Capabilties URL_ from Map Warper's [Export tab](http://maps.nypl.org/warper/layers/1162#Export_tab) - In the _Add Layer_ dialog, click _New_, choose a name and paste the WMS URL ![](images/add-layer.png) - Click _Connect_, select the correct layer, and set the tile size to __255x256 PNG__. - Click _Add_, and then _Close_ ![](images/add-layer-2.png) - To view the layer you just added, do the following: - (You cannot use _Zoom to Layer_, Map Warper WMS layers do not specify their bounding box) - Set scale to _1:50,000_ - Find a coordinate that should be somewhere on the map, for example using [bertspaan.nl/latlong](http://bertspaan.nl/latlong#13/40.7586/-73.9361&template=longlat) (make sure to _reverse_ the coordinates, __first longitude, then latitude__) - Enter this coordinate, for example: _-73.93001, 40.75101_ (somewhere in Queens) - Ignore _Error downloading_ errors if you encounter them, this just means that Map Warper does not have map data outside of the map's region ![](images/coordinate-scale.png) - Now, add create a new Shapefile Layer: - Select _Layer ⟶ Create Layer ⟶ New Shapefile Layer..._ - Type should be _Line_ - Remove the `id` column, and add a field of type _Text data_ with the name `name`. This field will contain the street name. ![](images/new-shapefile.png) - Afterwards, QGIS will ask to save the Shapefile on disk. - Pick a place, choose a name - for example `<layerId>/<layerId>.shp` (in this case, `1162/1162.shp`) ![](images/save-shapefile.png) - Set snapping options: _Settings ⟶ Snapping Options..._ ![](images/snapping.png) - Right click the new Shapefile layer to go to the _Layer Properties_ window - Set the line width and color of the layer ![](images/line-width.png) - Enable labels, and choose the `name` field ![](images/labels.png) - Change label placement ![](images/placement.png) - Add a buffer around the labels for better visibility ![](images/text-buffer.png) ### Tracing - Make sure snapping is enabled: _Settings ⟶ Snapping Options..._ ![](images/snapping.png) - Start editing the street layer: _Layer ⟶ Toggle Editing_ (or press `E`) - Add a new street: _Edit ⟶ Add Feature_ (or press `L`) - Add a vertex on each cross street (we need those vertices to later snap vertices from other streets to) ![](images/vertex-snap.gif) - Finish the street by right clicking on the map, you will be asked to enter the street's name (you can later easily edit the street and add or remove vertices) - Enter the street name using the correct letter case, without abbreviations: - _ISABELLA PL. ⟶ Isabella Place_ - _MACDOUGAL STREET ⟶ MacDougal Street_ - _WOOLSEY ⟶ Woolsey Street_ ![](images/street-name.png) - To save the edited Shapefile, click _Toggle Editing_ again (or press `E`), and save the changed to the Shapefile ![](images/example.png) ## Improving existing data ### Setting up - Pick a map or atlas from https://github.com/nypl-spacetime/nyc-historical-streets - Fork and clone this GitHub repository: ``` git clone https://github.com/<your-github-name>/nyc-historical-streets ``` - Open the map or atlas's QGIS project (e.g. `1162/trace-1162.qgs`) - Zoom to the extent of the street data by right-clicking on the layer in the _Layers Panel_, and clicking _Zoom to Layer_: ![](images/zoom-to-layer.png) ### Tracing See the [_Tracing_ paragraph](https://github.com/nypl-spacetime/qgis-trace-tutorial#tracing) in the _Starting a new project_ section.
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README.md
MukhriddinMike/CodeLabs_Firebase
331d39bfca49028035e111c92de68adb27bdbf0c
[ "Apache-2.0" ]
null
null
null
README.md
MukhriddinMike/CodeLabs_Firebase
331d39bfca49028035e111c92de68adb27bdbf0c
[ "Apache-2.0" ]
null
null
null
README.md
MukhriddinMike/CodeLabs_Firebase
331d39bfca49028035e111c92de68adb27bdbf0c
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# CodeLabs_Firebase CodeLabs_Firebase
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_wiki/SIGN.md
reformed-beginner/expository-thoughts
21de448ed2f35c070c9822eef7b47572cbdf424c
[ "MIT" ]
1
2020-07-21T05:27:38.000Z
2020-07-21T05:27:38.000Z
_wiki/SIGN.md
reformed-beginner/expository-thoughts
21de448ed2f35c070c9822eef7b47572cbdf424c
[ "MIT" ]
null
null
null
_wiki/SIGN.md
reformed-beginner/expository-thoughts
21de448ed2f35c070c9822eef7b47572cbdf424c
[ "MIT" ]
null
null
null
--- layout: wiki title: 记号,豫兆(SIGN) categories: NewBibleDictionary description: 圣经新词典 - 记号,豫兆(SIGN) keywords: 记号,豫兆, SIGN comments: false --- ## 记号,豫兆(SIGN)   在旧约中,~o{t[ 这希伯来字有多重意义。 1. 可见的印记或物件,用来传递一个清晰信息。如:太阳和月亮(创一14),该隐的记号(创四15),各支派的纛(民二2)。 2. 保证或提醒。如:彩虹(创九12),给喇合的凭据(书二12),来自约但河的石头(书四6)。 3. 先知指明的兆头,作为他们所说豫言的证据。如:以利儿子之死(撒上二34);扫罗像先知般受感而浑然出神(撒上十6-7);童女怀孕(赛七10-14);多个像征性行动(例如在赛廿3;结四1-3)。 4. 神的作为。当“记号”或“豫兆”这词用作复数,并与“奇事”(mo{p{e{t[)一词同时出现时,那些事件就解作神的作为,或指祂与子民同在并积极参与的明证。这可见于出埃及记的记载:十灾皆称为记号(出四28,七3,八23)〔译注:和合本译作“神迹”〕。以色列人出埃及的经历,包括埃及头生者之死,过红海和埃及军队被灭等事,正是这些神迹奇事的最佳例子(申四34,六22,七19)。这信念可见于整卷旧约(如:民十四11;书廿四17;诗七十八43;耶卅二21;尼九10),而以色列更得到保证,当神再次启示祂自己时,将以“神迹奇事”来预告祂的来临(珥二30)。   同样,新约希腊文 se{meion 一字,可简单解作某个传递着可认知的意义的行动或物件(太廿六48;路二12;罗四11;帖后三17)。林前十四22提到,说方言乃是为不信的人作证据,因为赛廿八11-12说明,以一种不认识的语言说话乃是神对不信之人的审判记号。圣经颇常以天上的兆头为末日的征兆(太廿四30;路廿一11、25;徒二19;启十二1、3,十五1)。按可十三的说法,伴随耶路撒冷倾覆与世界末日的灾难并不是可以用来计算末日(可十三32)的豫兆(可十三4;太廿四3;路廿一7),而是对那些在灾难中的人表明末日不会被延误的保证。   在教会的宣教事工中,“神迹奇事”(神迹治病、赶鬼,等等)也同样被视为神大能作为的明证(罗十五19;来二4)。特别是使徒行传,对这些神迹(“奇事神迹”,徒二22、43,四30,五12,六8,七36,十四3,十五12,又见四16、22,八6、13)尤其强调。然而,其他新约作者(以及耶稣)对神迹的处理则审慎很多。当法利赛人要求看神迹时,耶稣以批判的态度回应(可八11-12;太十二38-39,十六1-4;路十一16、29;对希律也如是,廿三8-9),并警告门徒要防备会“显神迹奇事”的“假基督、假先知”(可十三22;太廿四24)。照样,保罗也警告信徒要防备“不法的人”所行的“异能神迹”和“虚假的奇事”(帖后二9),而启示录中见异象者则说要防备那兽、假先知和鬼魔的灵所行的奇事(启十三13-14,十六14,十九20)。对于犹太人要求神迹,保罗同样抱批判的态度(林前一22)。虽然保罗可以指出自己在事奉中所行的“神迹奇事”(林后十二12),但从他这样“夸耀”的上下文看来,他对这些奇事的评价不太高,跟哥林多的“假使徒”标榜神迹的做法很不同(林后十一至十三)。   se{meion 一字在约翰福音中出现十七次,比在任何别的新约书卷都多,而且差不多每次都用于耶稣的神迹。约翰特别关注要表达“神迹”(有意义的行动)与信心之间的真正关系。他批评只基于神迹本身的信心──人若相信耶稣(只)是一位行神迹者,这信心就残缺不全,乃是善变群众的肤浅赞誉(约二23-三2,四48,六2、14、30,七31,九16,十二18)。耶稣的神迹的真正意义,是指向耶稣的死、复活和升天,又指向圣灵的新时代所带来的更新,从而引导人相信耶稣(被钉的)基督、(复活的)神的儿子(二11,六26,十二37,廿30-31)。   任何神迹记号都隐含一个问题:它们是模棱不清的,可有多种解释。它们对人信心所存的信息,人只能凭信心来领会。所以,举例来说,“约拿的神迹”(太十二39-40)对一些不相信复活的人便毫无意义(参:约二18-19;路二34,十六31)。因此,一种只建基于或哺育于神迹而非神迹所指向的实体的信心,最终是不成熟和极危险的。成熟的信心因它所理解的神迹而欢欣,但并不倚赖它们。(*神迹;*能力,大能,权柄,力量;*象征,记号)   书目:K. H. Rengstorf, TDNT 7,页200-61; A. Richardson, IDB, 4,页346-7; O. Hofius, C. Brown, NIDNTT 2,页626-35。 J.D.G.D.
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CITATION.md
openSNP/snpr
f995d368163d3ad3df5b0e20289a8ea30b953a00
[ "MIT" ]
97
2016-02-12T15:53:25.000Z
2022-03-27T01:32:02.000Z
CITATION.md
openSNP/snpr
f995d368163d3ad3df5b0e20289a8ea30b953a00
[ "MIT" ]
211
2016-02-08T11:44:28.000Z
2022-03-14T15:34:50.000Z
CITATION.md
openSNP/snpr
f995d368163d3ad3df5b0e20289a8ea30b953a00
[ "MIT" ]
44
2016-02-09T07:58:07.000Z
2022-02-06T23:59:01.000Z
# openSNP: The paper! Our work with *openSNP* [has been published in *PLOS ONE* in 2014](http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0089204). If you are re-using code or use data from *openSNP* it would be great if you could cite the paper, so we also see where people are putting the project to good use. If you're using *bibtex* you can use the following code: ``` @article{greshake2014opensnp, title={OpenSNP-a crowdsourced web resource for personal genomics}, author={Greshake, Bastian and Bayer, Philipp E and Rausch, Helge and Reda, Julia}, journal={PLOS ONE}, volume={9}, number={3}, pages={e89204}, year={2014}, doi={10.1371/journal.pone.0089204} url={http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0089204} publisher={Public Library of Science} } ```
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README.md
cah-tyler-rasor/defectdojo-resource
80a26c1fc4fda2287e9af3b47e8e2c5bfd883f36
[ "Apache-2.0" ]
1
2022-01-27T15:56:27.000Z
2022-01-27T15:56:27.000Z
README.md
cah-tyler-rasor/defectdojo-resource
80a26c1fc4fda2287e9af3b47e8e2c5bfd883f36
[ "Apache-2.0" ]
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2020-12-30T04:42:16.000Z
2021-06-07T21:15:50.000Z
README.md
cah-tyler-rasor/defectdojo-resource
80a26c1fc4fda2287e9af3b47e8e2c5bfd883f36
[ "Apache-2.0" ]
1
2021-02-05T00:08:27.000Z
2021-02-05T00:08:27.000Z
# Defectdojo Resource Gives a way to push reports to [defectdojo](https://github.com/DefectDojo/django-DefectDojo). For right now, `check` and `in` will be noops. Future state? `In` can be used to get the security posture of a given application and build maybe? A way to "quality-gate" based on aggregated security scans. ## Source Configuration | Parameter | Type | Required | Default | Description | |:------------------------------|:-------|:---------|:--------|:------------| | `defectdojo_url` | URL | yes | | The path of the hosted instance of defectdojo. | | `api_key` | string | yes | | Generated API key (for `username`) to interact with defectdojo, [see here](https://defectdojo.readthedocs.io/en/latest/api-v2-docs.html). | | `product_name` | string | yes | | Name of the product (application) in defectdojo that we want to interact with. | | `create_product_if_not_exist` | bool | no | `false` | Do not error when `product_name` does not exist, instead create the `product` profile. | | `product_type` | string | no\* | | \*Required when `create_product_if_not_exist` set. The name of the `product_type` to associate the created `product` with. | | `debug` | bool | no | `false` | Enable debug logging. | ### Example ``` yaml resource_types: - name: defectdojo-resource type: registry-image source: repository: tylerrasor/defectdojo-resource tag: latest resources: - name: defectdojo type: defectdojo-resource source: defectdojo_url: https://path-to-your-hosted-instance.io api_key: ((from-a-secret-manager-probably)) app_name: "myApp" jobs: - name: scan-and-report plan: - task: do-the-scan config: platform: linux image_resource: type: registry_image source: { repository: alpine } output: - name: reports run: path: sh args: - | echo "do some cool scan" > reports.txt - put: defectdojo params: report_type: demo-scan path_to_report: reports/report.txt ``` ## Behavior ### `out` Pushes a report of a given type to Defectdojo for the specified application. #### Parameters | Parameter | Type | Required | Default | Description | |:-----------------|:-------|:---------|:--------|:------------| | `report_type` | string | yes | | The type of report you're trying to upload. The format of this string must match the internal scan type strings that defectdojo is using, [found here](https://github.com/DefectDojo/django-DefectDojo/blob/b08723ded1491d82910e51810de27963ee6ccca2/dojo/tools/factory.py). | | `path_to_report` | string | yes | | File path (passed in from previous task) to the report you're trying to upload. | | `close_engagement` | bool | no | `false` | Should the enegagement be closed after report upload. |
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vanhoofmaarten/gridsome-template-mrtnvh
3cc14ec294901276900233f26c44c4d2d27b149b
[ "MIT" ]
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README.md
vanhoofmaarten/gridsome-template-mrtnvh
3cc14ec294901276900233f26c44c4d2d27b149b
[ "MIT" ]
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README.md
vanhoofmaarten/gridsome-template-mrtnvh
3cc14ec294901276900233f26c44c4d2d27b149b
[ "MIT" ]
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null
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# gridsome-template-mrtnvh Starter template for Gridsome projects ## Develop ``` npm install npm run dev ```
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mowat27/rust_story_so_far
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[ "MIT" ]
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README.md
mowat27/rust_story_so_far
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[ "MIT" ]
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README.md
mowat27/rust_story_so_far
536803c894433f340db590872d375906c48d964a
[ "MIT" ]
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null
null
# Rust: My Story So Far Examples from my talk at [CodeCraft](https://www.codecraftuk.org/events/2020/10/rust) on 15 Oct 2020. In this months codecraft, we are trying another interactive talk. Adrian Mowat will be presenting his talk “Rust: my story so far”. Rust has been Stack Overflow’s most loved language for four years in a row, indicating that many of those who have had the opportunity to use Rust have fallen in love with it. However, the roughly 97% of survey respondents who haven’t used Rust may wonder, “What’s the deal with Rust?” Adrian says: “I had a lot of time on my hands during lockdown and I decided to learn Rust. In this talk I will show you what I’ve learned and try to answer the big question: is Rust the next big thing or is it a solution looking for a problem?”. ## Links **Install Rust and Cargo:* https://rustup.rs/ **Rust Homepage:** https://www.rust-lang.org/ **Ripgrep:** https://github.com/BurntSushi/ripgrep **Live Coding a Web Assembly Runtime:** https://youtu.be/VUT386_GKI8 This is a talk given by David Beazley where he live codes a stack machine in Python and uses it to run a game written in Rust and compiled to Web Assembly. **Rocket Game:** https://aochagavia.github.io/blog/rocket---a-rust-game-running-on-wasm/ and https://github.com/aochagavia/rocket_wasm This game is written in Rust and runs in the browser using WebAssembly. :warning: It uses an older version of the rust WebAssembly toolchain so it may be tricky to run the code yourself.
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src/content/pages/index.md
JustinWeyenberg/blog
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[ "MIT" ]
null
null
null
src/content/pages/index.md
JustinWeyenberg/blog
d02c470854e094afde8a91507455e54a0e0ac164
[ "MIT" ]
null
null
null
src/content/pages/index.md
JustinWeyenberg/blog
d02c470854e094afde8a91507455e54a0e0ac164
[ "MIT" ]
null
null
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--- template: index-page slug: / title: Title tagline: Tagline featuredImage: /assets/profile-picture.jpg cta: ctaText: Know more ctaLink: /about --- BODY
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_posts/2021-04-16-agruments.markdown
HyungwonJin/HyungwonJin.github.io
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null
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_posts/2021-04-16-agruments.markdown
HyungwonJin/HyungwonJin.github.io
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[ "MIT" ]
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2021-07-20T04:39:14.000Z
2021-07-20T04:39:14.000Z
--- layout: post title: "[Javascript] 가변 길이 인수 목록(Arguments 객체)" subtitle: "Arguments" categories: develop tags: front comments: true --- ![그림 1-1](/assets/img/web/js.png) # 가변 길이 인수 목록(Arguments) --- argument 변수는 모든 함수에서 사용할 수 있는 지역변수이다. 또한, argument 변수의 값은 Arguments 객체이다. 함수의 인수를 지정한 것보가 넘겨서 호출하면 인수 값은 arguments에 저장된다. ex) argument[0], ... arguments[n-1] ## Arguemnt 객체의 프로퍼티 --- argument.length: 인수의 개수 arugment.callee: 현재 실행되고 있는 함수의 참조 ## 예시 --- ```javascript function slashText(separator) { let s = ""; for(let i=1; i < arguments.length, i++){ s += separator[i]; if( i< arguments.length-1) s+=separator; } return s; } console.log(slashText("/", "apple", "orange", "peach")); // -> apple/orange/peach ``` console.log()에서 인수를 slashText함수의 인수보다 많은 4개를 넣으면 첫번째 인수인 "/"를 제외하고는 모두 arguments객체에 들어가게 된다. 즉, argument[1] = "apple", argumett[2] = "orange", argument[3] = peach 가 들어가게 된다.
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docs/en/flash.md
apwiede/nodemcu
934b69a5786093f50f198b1f7791140a3731c441
[ "MIT" ]
2
2016-03-07T01:03:29.000Z
2021-01-14T01:30:28.000Z
docs/en/flash.md
apwiede/nodemcu
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[ "MIT" ]
null
null
null
docs/en/flash.md
apwiede/nodemcu
934b69a5786093f50f198b1f7791140a3731c441
[ "MIT" ]
2
2015-08-12T20:49:04.000Z
2021-02-24T19:27:20.000Z
Adafruit provides a really nice [firmware flashing tutorial](https://learn.adafruit.com/building-and-running-micropython-on-the-esp8266/flash-firmware). Below you'll find just the basics for the two popular tools esptool and NodeMCU Flasher. !!! note "Note:" Keep in mind that the ESP8266 needs to be [put into flash mode](#putting-device-into-flash-mode) before you can flash a new firmware! ## esptool > A cute Python utility to communicate with the ROM bootloader in Espressif ESP8266. It is intended to be a simple, platform independent, open source replacement for XTCOM. Source: [https://github.com/themadinventor/esptool](https://github.com/themadinventor/esptool) Supported platforms: OS X, Linux, Windows, anything that runs Python **Running esptool.py** Run the following command to flash an *aggregated* binary as is produced for example by the [cloud build service](build.md#cloud-build-service) or the [Docker image](build.md#docker-image). `esptool.py --port <USB-port-with-ESP8266> write_flash -fm <mode> -fs <size> 0x00000 <nodemcu-firmware>.bin` - `mode` is `qio` for 512&nbsp;kByte modules and `dio` for 4&nbsp;MByte modules (`qio` might work as well, YMMV). - `size` is given in bits. Specify `4m` for 512&nbsp;kByte and `32m` for 4&nbsp;MByte. Check the [esptool flash modes documentation](https://github.com/themadinventor/esptool#flash-modes) for details and other options. ## NodeMCU Flasher > A firmware Flash tool for NodeMCU...We are working on next version and will use QT framework. It will be cross platform and open-source. Source: [https://github.com/nodemcu/nodemcu-flasher](https://github.com/nodemcu/nodemcu-flasher) Supported platforms: Windows ## Putting Device Into Flash Mode To enable ESP8266 firmware flashing GPIO0 pin must be pulled low before the device is reset. Conversely, for a normal boot, GPIO0 must be pulled high or floating. If you have a [NodeMCU dev kit](https://github.com/nodemcu/nodemcu-devkit-v1.0) then you don't need to do anything, as the USB connection can pull GPIO0 low by asserting DTR and reset your board by asserting RTS. If you have an ESP-01 or other device without built-in USB, you will need to enable flashing yourself by pulling GPIO0 low or pressing a "flash" switch. ## Which Files To Flash If you build your firmware with the [cloud builder or the Docker image](build.md), or any other method that produces a *combined binary*, then you can flash that file directly to address 0x00000. Otherwise, if you built your own firmware from source code: - `bin/0x00000.bin` to 0x00000 - `bin/0x10000.bin` to 0x10000 Also, in some special circumstances, you may need to flash `blank.bin` or `esp_init_data_default.bin` to various addresses on the flash (depending on flash size and type), see [below](#upgrading-from-sdk-09x-firmware). If upgrading from [SPIFFS](https://github.com/pellepl/spiffs) version 0.3.2 to 0.3.3 or later, or after flashing any new firmware (particularly one with a much different size), you may need to run [`file.format()`](modules/file.md#fileformat) to re-format your flash filesystem. You will know if you need to do this if your flash files disappeared, or if they exist but seem empty, or if data cannot be written to new files. ## Upgrading from SDK 0.9.x Firmware If you flash a recent NodeMCU firmware for the first time, it's advisable that you get all accompanying files right. A typical case that often fails is when a module is upgraded from a 0.9.x firmware to the latest version built from the [NodeMCU build service](http://nodemcu-build.com). It might look like the brand new firmware is broken, but the reason for the missing Lua prompt is related to the big jump in SDK versions: Espressif changed the `esp_init_data_default.bin` for their devices along the way with the [SDK 1.4.0 release](http://bbs.espressif.com/viewtopic.php?f=46&t=1124). So things break when a NodeMCU firmware with SDK 1.4.0 or above is flashed to a module which contains old init data from a previous SDK. Download a recent SDK release, e.g. [esp_iot_sdk_v1.4.0_15_09_18.zip](http://bbs.espressif.com/download/file.php?id=838) or later and extract `esp_init_data_default.bin` from there. *Use this file together with the new firmware during flashing*. **esptool** For [esptool](https://github.com/themadinventor/esptool) you specify another file to download at the command line. ``` esptool.py write_flash <flash options> 0x00000 <nodemcu-firmware>.bin 0x7c000 esp_init_data_default.bin ``` !!! note "Note:" The address for `esp_init_data_default.bin` depends on the size of your module's flash. ESP-01, -03, -07 etc. with 512 kByte flash require `0x7c000`. Init data goes to `0x3fc000` on an ESP-12E with 4 MByte flash. **NodeMCU Flasher** The [NodeMCU Flasher](https://github.com/nodemcu/nodemcu-flasher) will download init data using a special path: ``` INTERNAL://DEFAULT ``` Replace the provided (old) `esp_init_data_default.bin` with the one extracted above and use the flasher like you're used to. **References** * [2A-ESP8266__IOT_SDK_User_Manual__EN_v1.5.pdf, Chapter 6](http://bbs.espressif.com/viewtopic.php?f=51&t=1024) * [SPI Flash ROM Layout (without OTA upgrades)](https://github.com/esp8266/esp8266-wiki/wiki/Memory-Map#spi-flash-rom-layout-without-ota-upgrades)
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Rii0109/translations
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11
2018-08-21T19:40:19.000Z
2019-11-26T07:32:32.000Z
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Rii0109/translations
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2018-08-22T06:40:57.000Z
2019-08-13T08:27:07.000Z
Traditional Chinese/readme.md
Rii0109/translations
456a8d45fa63a94e7b6e622f36bf63d65afd5f55
[ "MIT" ]
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2018-08-21T22:41:35.000Z
2020-02-07T17:51:31.000Z
大家好,我們是翻譯繁體中文的人<br> 我是不叮狗,接下來教你們如何安裝吧~~<br> 首先,請確保你現在使用的是DBM Beta,只有Beta版本才能使用翻譯檔案,開啟Beta版方式如下<br> 1.按右方的齒輪,然後點選內容,然後點進測試,開啟測試版本。<br> 2.接下來下載翻譯檔案<br> 3.接著打開DBM→上方選單選Project→Open Translations Directory→把translations資料夾裡的JSON檔扔進去<br> 4.上方選單選Project→Open Actions Directory→把Actions資料夾內的JS檔都扔進去<br> 5.上方選單選Project→Open Project Directory→把bot.js扔進去覆蓋(請先備份)<br> 6.重開DBM<br> 7.上方選擇Language→點Traditional Chinese<br> 8.完成
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DannyC220/My-Second-Repository
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DannyC220/My-Second-Repository
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README.md
DannyC220/My-Second-Repository
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# heading 1 ## heading 2 ### heading 3 '//this is a single line of code' ... //multiple lines of code can go here for(int i = 0; i < 10; i++) { Console.WriteLine(i); } ... this is a list + liste item 1 - liste item 2 1. list item 1 2. list item 2
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docs/specifications/ExpressionDeBesoinFonctionnel.md
alexeil/sikb-api
fdeb616dc4bfc040a6cfd65a78f1e05b7cd37acc
[ "Apache-2.0" ]
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docs/specifications/ExpressionDeBesoinFonctionnel.md
alexeil/sikb-api
fdeb616dc4bfc040a6cfd65a78f1e05b7cd37acc
[ "Apache-2.0" ]
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2019-02-14T09:53:45.000Z
2021-12-14T21:16:47.000Z
docs/specifications/ExpressionDeBesoinFonctionnel.md
alexeil/sikb-api
fdeb616dc4bfc040a6cfd65a78f1e05b7cd37acc
[ "Apache-2.0" ]
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2019-01-16T17:04:32.000Z
2019-01-16T17:04:32.000Z
# Expression de besoin fonctionnel Sikb ## But Le but de cette application est de faciliter la gestion pour la FKBF et les clubs. L'application devra fournir une variété de fonctionnalités essentielles à la gestion d'un club (affiliations, licences etc.). Le but est de réduire le temps et la complexité de ces tâches afin que les clubs se consacre au développement de leur club et de notre sport. ## Fonctionnalités ### MVP 1 (most valuable product) * gestion des utilisateurs (avec une gestion de droit/périmètre) * gestion de "mes informations" pour un club * gestion simplifiée des (ré) affiliations * gestion des actions/formation effectuer dans l'année * gestion des personnes (joueur, arbitre etc.) * gestion simplifiée des licences * gestion simplifiée des arbitres ### Autres fonctionnalités * recherche de personnes selon critères (mailing, export) * facturation licence * gestion du championnat * facturation championnat * gestion des formations, avoir le nombre de formations/formés par formateurs * etc. ## Fonctionnalités détaillées ### Gestion des utilisateurs * Il doit être possible de créer un compte de façon sécurisée pour un utilisateur * A la création de ce compte par un administrateur, l'utilisateur reçoit un mail avec un lien temporaire d'activation de son compte. * lorsque l'utilisateur clique sur ce lien il est redirigé vers une page pour choisir son mot de passe et confirmer la création de son compte. Possiblement accepter des conditions d'utilisation etc. * Ensuite l'utilisateur doit avoir la possibilité de se connecter de façon simple avec ses identifiants * une fois connecté, en fonction du type de compte (club, ligue, FKBF etc.) il doit avoir une version simplifiée en fonction de ses droits d'accès. Par exemple un club verra : "modifier mes informations" alors qu'une ligue aura accès à l'ensemble des clubs sous sa responsabilité. * lorsqu'un club accède à son espace utilisateur, il peut : * voir/modifier ses informations * s'affilier ou se ré-affilier * Modifier les informations d'une personne (qui a vraiment le droit ? Périmètre ? Informations minimales si pas de licence dans le club ?) * créer des licences pour ses adhérents ### gestion de droit/périmètre | Profile | User Management | Club Management | Event Management | Person Management | Licence Management | Referee Management | |--------------|------------------|--------------------|--------------------|---------------------------|---------------------------|---------------------------| | Administrator| All (CRUD) | All (CRUD) | All (CRUD) | All (CRUD) | All (CRUD) | All (CRUD) | | Club | only one (RU) | Only one (RU) | Only one (RU) | Only its perimeter (CRUD) | Only its perimeter (CRUD) | only its perimeter (R) | | Ligue | only one (RU) | multiple club (R) | multiple club (R) | only its perimeter (CRUD) | only its perimeter (CRUD) | only its perimeter (R) | | FKBF | All (CRUD) | All (CRUD) | All (R) | All (CRUD) | All (CRUD) | All (CRUD) | Il existe plusieurs type de compte : * Club * Ligue * FKBF * etc. Il existe un ensemble de droits : * Voir l'ensemble des clubs * Modifier un club * Modifier un ensemble de club * etc. Voici la matrice des gestion des droits : // TODO ### Gestion de "mes informations" pour un club * Un club ne peut être créé que par un administrateur * A sa création seul le nom du club est renseigné * un club peux modifier l'ensemble de ses informations (cf [swagger](https://sikb-api.eu-west-3.elasticbeanstalk.com/swagger-ui/#/clubs/updateClub)) ### Gestion simplifiée des (ré) affiliations * Lors de sa première année le club peux s'affilier de devra remplir l'ensemble des champs requis (cf [swagger](https://sikb-api.eu-west-3.elasticbeanstalk.com/swagger-ui/#/affiliations/createAffiliation)) * lors des années suivantes, il pourra se ré-affilier et l'ensemble des champs sera déjà pré rempli. Il aura donc juste à mettre à jour si nécessaire. ### Gestion des actions/formation effectuer dans l'année * Tout au long de l'année, un club doit avoir la possibilité de lister l'ensemble des actions effectuées (initiations, activités privées etc.) * cette fonctionnalités permet aux clubs de suivre et d'avoir un historique de leur activité * la consolidation des activités de tous les clubs est envoyé à la fédération internationale lors de l'affiliation à celle-ci afin d'avoir l'ensemble des actions aux connaissances de la FKBF menées sur le territoire français ### Gestion des personnes (joueur, arbitre etc.) * Un club doit être en mesure de lister les personnes * un club doit pouvoir créer et modifier des fiches de personnes (cf swagger) * un contrôle contre les doublons (nom / prénom / date naissance ? ) Doit être effectué ### Gestion simplifiée des licences * Il doit être possible de créer/modifier la licence d'une personne (cf swagger). * il faut mettre un système de validation en place (manuel ou automatique) * Il doit être possible de voir l'historique des licences d'une personne ### gestion simplifiée des formations (arbitre, formateur etc.) * Il est possible de rajouter une formation à une personne avec sa date de validation * il est possible de lister l'ensemble des formations d'une personne * il est possible de rechercher toutes les personnes ayant passé une certaine formation. ## Sécurité L'application devra permettre la gestion des informations personnelles et des transactions en accord avec la [RGPD](https://fr.wikipedia.org/wiki/R%C3%A8glement_g%C3%A9n%C3%A9ral_sur_la_protection_des_donn%C3%A9es).
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_posts/2020-11-03-matlabneuralnet1.md
SimonWithWoogi/temperary
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_posts/2020-11-03-matlabneuralnet1.md
SimonWithWoogi/temperary
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2021-04-13T12:53:52.000Z
2021-04-13T12:53:52.000Z
_posts/2020-11-03-matlabneuralnet1.md
SimonWithWoogi/temperary
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2021-04-13T12:50:38.000Z
2021-06-24T05:30:31.000Z
--- title: MATLAB Neural Network를 이해하고 SLP MLP의 학습원리를 이해해보자(1)! author: Simon Anderson date: 2020-11-03 23:07:00 +0800 categories: [MATLAB, Applied] tags: [MATLAB, Python, java, Algorithm, Search, AI, DeepLearning, Optimization, Heuristics] image: src: /assets/img/MATLAB/5_Preview.png math: true --- <span style="color:red">이번 포스팅에는 귀여운 그림이 전혀 없습니다.</span> ## <span style="color:darkblue">1. Neural Network</span> 사람은 감각기관에서 받아들이는 내용에 대해 왜곡이 일어날 때가 있습니다. 이미 가지고 있는 지식때문인데요. 예능 프로그램에 검은 상자 속에 어떤 물컹한 물체를 놔두고 출연자들이 촉감으로 이 물체가 무엇인지 맞추는 게임을 종종 보셨을 겁니다. 재밌죠. 대부분 소스라치게 놀라며 소리지르고 지레 겁을 먹습니다. 만져보면 이게 뭔지 느낌이 올 때가 있습니다. 알고보니 생각했던 것과 전혀 다르죠. 시각으로 생각하면 착시도 있습니다. 잘 못들어서 오해하는 청각에 대한 착각도 있구요. 이렇게 나열하면 사람이니까 실수한다라는 말이 이해가 갑니다. 기계는? 실수하면 잘라버리나요? 기계도 실수할 수 있지라는 말이 나오는 시대가 왔습니다. 바로 `Neural Network`에서 시작되는 얘기입니다. ![img](/assets/img/MATLAB/5_1.png) ### <span style="color:darkblue">1.1. Perceptron</span> 먼저 `인공지능`을 얘기할 때는 `Perceptron` 을 먼저 얘기합니다. `인공지능` 이라고해서 진짜로 `Perceptron`, `Neuron` 신경계를 인공으로 생성하는지 본다면 아니라고 말할 수 있습니다. 다만, `인공지능` 이 돌아가는 학습원리, 즉 `Mechanism` 을 가만히 보고있으면 정말로 `학습`을 거쳐서 어떤 `기준`을 만들어서 `인지`를 하게 됩니다. `Perceptron`, 우리 몸 신경계 기본단위인 `Neuron` 으로 구성된 신경망을 인공으로 구현했다라는 의미입니다. 그러니 `Neuron` 의 그림을 한번 봅시다. 물론 우리 신경계를 빠삭하게 알 필요까지는 없습니다. 아래 그림에서 가지처럼 뻗어진 `Dendrites` 가 `cell body` 로 정보를 옮겨 담아 지방층인 `Myelin` 으로부터 버퍼역할을 하며 다른 `Neuron` 으로 정보를 옮겨줍니다. ![img](/assets/img/MATLAB/5_2.png) 우리에게 `세포체, 수상돌기, 축색돌기` 이런 단어는 필요없습니다. `Mechanism` 만 이해해서 진짜 비슷하네?라고 느끼면 됩니다. 다시 위 그림에 대해 얘기하면 `Neuron` 의 정보전달은 **여러 가지에서 하나의 점으로 모여 다른 뭉치로 이동하는 것입니다.** ![img](/assets/img/MATLAB/5_3.png) 지금 위 이미지는 `Single Layer Perceptron` 입니다. 얘도 마찬가지로 **여러 가지에서 하나의 점으로 모이죠?** ![img](/assets/img/MATLAB/5_4.png) 이 이미지는 `Multi Layer Perceptron` 입니다. **모여진 하나의 점에서 다른 뭉치로 이동하네요!** ### <span style="color:darkblue">1.2. Neural network learning mechanism</span> `Perceptron` 의 첫 단락에서 제가 `학습` 하는 것을 보다보면~ 이라는 얘기를 했습니다. 이번 내용은 `Neural network` 의 학습원리를 얘기합니다. ### <span style="color:darkblue">1.3. Single Layer Perceptron</span> ![img](/assets/img/MATLAB/5_5.png) 진짜로 `단층 인공신경망(Single Layer Perceptron)` 의 한 모습입니다. `bias` 는 출력으로 나온 결과의 중심을 잡아주는 역할입니다. `input nodes` 는 입력 데이터를 의미합니다. 바나나로 얘기해보면, 당도, 색감, 크기 등이 있겠네요. 이런 `한 성질들이 하나의 노드(node)`가 됩니다. `Weights` 는 `학습` 에 따라 변하는 가중치입니다. 가중치를 다 합하고 난 다음엔 `활성함수(Activation function)` 을 지나 출력이 나오게 됩니다. **학습에 따라 변하다니요!? 활성함수는 뭘 활성시키죠?!?!** 순차적으로 설명해야하니 지금은 잠깐 잊어주세요. `SLP(Single Layer Perceptron)` 은 한번쯤 들어본 `Hidden layer` 가 없습니다. 그래서 보면 `Input layer, Output layer` 이게 전부입니다. 그렇다면 이제 차근차근 학습원리를 볼까요? | X1 | X2 | X3 | Y | | ---- | ---- | ---- | ---- | | 1 | 0 | 0 | -1 | | 1 | 0 | 1 | 1 | | 1 | 1 | 0 | 1 | | 1 | 1 | 1 | 1 | | 0 | 0 | 1 | -1 | | 0 | 1 | 0 | -1 | | 0 | 1 | 1 | 1 | | 0 | 0 | 0 | -1 | 입력 노드가 세개가 있으니까 처음 가중치를 0.333으로 해서 계산을 해보겠습니다. 참고로 활성함수는 `sign function` 입니다.(0, 1이 아닌 1과 -1로 구분짓기에) ![img](/assets/img/MATLAB/5_6.png) 아래는 가중치의 합에다가 sign을 한 결과입니다. 어떻게, 과연 맞을까요? $$ \begin{array}{l} Y\ =\ sign(0.333X_1+0.333X_2+0.333X_3) \end{array}\\ $$ | X1 | X2 | X3 | Y(Predict) | Y(Real) | Diff | | ---- | ---- | ---- | ---------- | ------- | ------ | | 1 | 0 | 0 | 0.2955 | -1 | 1.2955 | | 1 | 0 | 1 | 0.5646 | 1 | 0.4354 | | 1 | 1 | 0 | 0.5646 | 1 | 0.4354 | | 1 | 1 | 1 | 0.7833 | 1 | 0.2167 | | 0 | 0 | 1 | 0.2955 | -1 | 1.2955 | | 0 | 1 | 0 | 0.2955 | -1 | 1.2955 | | 0 | 1 | 1 | 0.5646 | 1 | 0.4354 | | 0 | 0 | 0 | 0 | -1 | 1.0000 | ![img](/assets/img/MATLAB/5_7.png) 많이 틀리죠? 그런데 뭔가 패턴이 보입니다. -1이 나와야하는 애들과 1이 나와야하는 애들과 비슷한 숫자를 가지고 있네요. 바로 0.3~0.56구간을 기준으로 높으면 1, 낮으면 -1이라고 볼 수 있네요. 이제 `활성함수(sign function)`에 대해서 말씀드리겠습니다. ![img](/assets/img/MATLAB/5_8.png) `sign` 은 위와 같은 그래프를 그립니다. `sign(0)` 은 0이구요. `sign(90)` 은 1이고 `sign(270)` 은 -1입니다. 근데 사실 `sign function` 은 이게 아닙니다. 왜냐면 `sign function` 은 부호화에 사용될 때 사용하거든요. ![img](/assets/img/MATLAB/5_9.png) 그러니까, 양수면 1을 만들어주고, 0이면 0, 음수면 -1을 만들어주는 부호화 함수입니다. 그런데 이런 부호화 함수를 써도 우리는 `Y (Predict)` 가 양수니까 다 1이 나오겠죠? `bias` 를 0.3과 0.5사이 구간인 0.4를 붙이겠습니다. $$ \begin{array}{l} Y\ =\ sign(\sum_{i=1}^3 0.333\cdot X_i - 0.4) \end{array}\\ $$ | X1 | X2 | X3 | Y(Val - bias) | Y(Sign) | Y(Real) | | ---- | ---- | ---- | ------------- | ------- | ------- | | 1 | 0 | 0 | 0.333 - 0.4 | -1 | -1 | | 1 | 0 | 1 | 0.666 - 0.4 | 1 | 1 | | 1 | 1 | 0 | 0.666 - 0.4 | 1 | 1 | | 1 | 1 | 1 | 0.999 - 0.4 | 1 | 1 | | 0 | 0 | 1 | 0.333 - 0.4 | -1 | -1 | | 0 | 1 | 0 | 0.333 - 0.4 | -1 | -1 | | 0 | 1 | 1 | 0.666 - 0.4 | 1 | 1 | | 0 | 0 | 0 | 0 - 0.4 | -1 | -1 | ### <span style="color:darkblue">1.4. Multi Layer Perceptron</span> ![img](/assets/img/MATLAB/5_10.png) 방금 `SLP` 에서는 `Weight` 변경을 위한 학습이나 뒤로 와서 다시 연산하는 `Backward propagation` 에 대한 설명이 없었습니다. 그래서 이번에는 `Hidden layer` 가 추가된 `다층 신경망(MLP, Multi Layer Perceptron)` 으로 설명드리겠습니다. | X1 | X2 | Y | | ---- | ---- | ---- | | 0 | 0 | 0 | | 0 | 1 | 1 | | 1 | 0 | 1 | | 1 | 1 | 0 | 위 조건을 봅시다. XOR회로입니다. `SLP` 에서는 학습이 안됩니다. 이유는 `2. Implement` 에서 확인할 수 있습니다. 그러나 `MLP` 에서는 가능합니다. 이제 `Perceptron` 을 확인해봅시다. `MLP` 니까 명분을 살려야겠죠? `Hidden layer` 를 하나 추가하여 만들어보겠습니다. ![img](/assets/img/MATLAB/5_11.png) 아래는 수식입니다. $$ \begin{array}{l} h_1\ =\ w^2_{11}x_1+w^2_{21}x_2+c_1\\ h_2\ =\ w^2_{12}x_1+w^2_{22}x_2+c_2\\ \\ \hat{h} = \hat{w}^{2'}\hat{x}+\hat{c}\\ \hat{h} = \begin{bmatrix} h_{1}\\ h_{2} \end{bmatrix}\qquad \hat{w}^2 = \begin{bmatrix} w^2_{11}\ w^2_{12}\\ w^2_{21}\ w^2_{22}\\ \end{bmatrix} \qquad \hat{x} = \begin{bmatrix} x_{1}\\ x_{2} \end{bmatrix}\\ \\ \therefore \ y=\hat{w}^{3'}\hat{h}+b\\ \hat{w}^3= \begin{bmatrix} w^3_{11} \\ w^3_{21} \end{bmatrix} \end{array}\\ $$ 구조는 이렇습니다. 사실 `MLP` 는 간단하지 않기때문에 처음 `순전파(forward propagation)` 부터 설명하겠습니다. 순서대로 계산한다는 개념이죠. 이번에는 `input node` 가 2개니까 `weight` 를 모두 0.5씩 걸어두고 진행해보겠습니다. `c와 b` 는 `bias` 개념이니까 1부터 시작하겠습니다. 계산은 `MATLAB`으로 합니다. ![img](/assets/img/MATLAB/5_12.png) | X1 | X2 | h1 | h2 | Y(Predict) | Y(Real) | | ---- | ---- | ---- | ---- | ---------- | ------- | | 0 | 0 | 1 | 1 | 2 | 0 | | 0 | 1 | 1.5 | 1.5 | 2.5 | 1 | | 1 | 0 | 1.5 | 1.5 | 2.5 | 1 | | 1 | 1 | 2.0 | 2.0 | 3 | 0 | 제법 많이 다르죠? `Sign function` 을 적용하기에도, 즉 `0과 1로` 부호화하기가 어렵습니다. `Layer` 를 추가했으니 `h` 를 기준으로 다시 표를 그려보겠습니다. | h1 | h2 | Y(Predict) | Y(Real) | | ---- | ---- | ---------- | ------- | | 1 | 1 | 2 | 0 | | 1.5 | 1.5 | 2.5 | 1 | | 2.0 | 2.0 | 3 | 0 | 이렇게보니 `h1, h2` 가 너무 똑같이 나오네요. `c` 를 조정할 필요가 있어보입니다. 그래서 보통 `MLP` 에 들어가는 초기 `c와 weight` 는 이런 이유로 균일하게 구성하지 않습니다. 사실 똑같이 구성해도 큰 문제가 없으나 결과가 조금 느리게 나올 뿐입니다. `c를 1과 0으로 두개 구성했다면 h1 = [1 1.5 2.0]이고 h2=[0. 0.5 1.0]이니 h1과 h2를 조합하여 잘 사용할 수 있습니다. 지금은 두 h가 똑같아 하나를 없애도 괜찮겠다라는 생각이 들게 합니다.` ### <span style="color:darkblue">2. Backpropagation</span> 다음부터는 `backpropagation` 설명입니다. [backpropagation](https://simonwithwoogi.github.io/SimonWithWoogi.github.io/posts/matlabneuralnet2/)
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343
0.537664
kor_Hang
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3e5ffab20a92db3d23bacd1cd78f8de56f66f44e
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md
Markdown
README.md
Sharan-Babu/FB_wit
5e4ecfbe8a416ff2f1d75b3ce72d2179e3534d2a
[ "MIT" ]
null
null
null
README.md
Sharan-Babu/FB_wit
5e4ecfbe8a416ff2f1d75b3ce72d2179e3534d2a
[ "MIT" ]
null
null
null
README.md
Sharan-Babu/FB_wit
5e4ecfbe8a416ff2f1d75b3ce72d2179e3534d2a
[ "MIT" ]
2
2020-10-24T09:18:07.000Z
2020-11-28T19:02:36.000Z
# DevCoder - Wit.ai ## Introduction <b>Hi,</b> In this tutorial, I am going to teach you how to use <b>Wit.ai</b> through a fun mini project. By the end of this project, you will understand the basics of <i>Natural Language Processing, intent recognition and entity extraction. You will also learn how to use wit.ai for your use cases.</i> ## Prerequisites <ul> <li>No technical expertise needed (beginner friendly).</li> <li>Basic idea of Python and API calls (Optional).</li> <li>Requires Python with version > 3 and streamlit library (Steps to download mentioned in the tutorial).</li></ul> ## Getting Started Ok, so let us consider a real world example to get ourselves excited :exclamation:. How do big companies like <i>Amazon, Flipkart</i> evaluate the customer reviews for a product or automate a considerable amount of their customer care services? This is done with the help of Natural Language Processing (abbreviated as NLP). It is a branch of <i>Artificial Intelligence/ Machine Learning</i> that deals with the interaction between computers and humans through the medium of natural language. This could be <i>text or speech.</i> We ultimately want to derive meaningful insights from the end user’s input. ## Basic Concepts Now, let us learn about 2 important concepts in NLP which will help us in implementing the project that follows this theory. First, let us understand what <b>intent recognition</b> is. As the name suggests, we expect the computer to infer the intent from user’s input (text or audio) , understand the purpose of the message and thereby take meaningful actions. <i>Example of this in everyday life:</i> When you ask Siri or google assistant to <i>set a reminder to wake you up in the morning</i>, it doesn’t call your most frequented contact which is totally irrelevant from our intended action. This is because it rightly understands what you wanted it to do and hence, does the same. ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/voice-control-2598422_1280.jpg) <i> Creative Commons License <b><ins>Formal definition of Intent Classification</ins></b>:<br> Intent classification is the automated association of text to a specific purpose or goal. In essence, a classifier analyzes pieces of text and categorizes them into intents such as Purchase, Downgrade, Unsubscribe, and Demo Request.<br> <i>source: google</i> Now, let us move on to what <b>entity extraction</b> is…. Continuing with the theme of the above voice assistant example, the term <i>'morning'</i> in your request <b><i>“Set a reminder to wake me up in the morning”</b></i> is somewhat vague. A more meaningful input to the device would be, <b><i>“Wake me up every day at 7 am”</b></i>. Now, your assistant wakes you up daily exactly at 7 am because not only did it recognize the intent of the user but it also extracted the entity. In this case, the assistant understands that the value ‘7’ refers to the time. Note that people who built this algorithm had to define numbers like this to be extracted as 'time' before-hand and trained the AI algorithm accordingly. <b><ins>Formal definition of Entity Recognition is</ins>:</b><br> Named-entity recognition is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions.<br> <i>source: google</i> ## Basics of Streamlit #### What is Streamlit?<br> <i>Streamlit</i> is an open source web framework that lets you build webpages using only Python :snake:. Thereby, removing the need for developers to use HTML, CSS and Js. It uses what is called as widgets/components to construct your website.<br><br> <b><ins>Developer Trivia</ins>:</b> Streamlit components are essentially Python wrappers of React code (Judges, extra points :grin:?). #### Installing streamlit ~~~ pip install streamlit ~~~ #### Write some streamlit code <img src="https://github.com/Sharan-Babu/FB_wit/blob/master/images/s_basics.png"> #### Running streamlit files<br> Let us assume our file name to be 'streamlit_basics.py' and that we are in the correct directory. ~~~ streamlit run streamlit_basics.py ~~~ #### Output Website Streamlit code is very intuitive and thus, you can understand the purpose of each widget by simply comparing the code to the rendered webpage.<br><br> For Example: You can place 'Title'/large text on the webpage by passing a string of your choice to the .title() method.<br> You can learn more about Streamlit here: https://www.streamlit.io/<br><br> <img src="https://github.com/Sharan-Babu/FB_wit/blob/master/images/sb.JPG"> :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: :swimmer: ## What will we be building?<br> We will be building a <b>'Code Editor Assistant'</b> (chatbot) with the help of <i>Python</i> and <i>Wit.ai</i> to help developers build cool software fast (No heavy code,I promise). <img src="https://github.com/Sharan-Babu/FB_wit/blob/master/images/virtual-assistant.png" width="450" height="400"><br> <i>Source</i>: <a href="https://iconscout.com/illustrations/virtual-assistant" target="_blank">Virtual-assistant Illustration</a> by <a href="https://iconscout.com/contributors/delesign" target="_blank">Delesign Graphics</a> (Creative Commons License)<br> You can interact with the final outcome of this project by visiting the following URL:<br> https://share.streamlit.io/sharan-babu/fb_wit/Devbot.py ## Wit <b>Wit.ai</b> is a <b>Facebook</b> owned open source chatbot framework with <i>advanced natural language processing</i> capabilities. The best part being you won’t have to code to train the NLP model (chatbot) or need prior knowledge of any kind. All you have to do is <i>type and click</i> and your chatbot is ready to be served in your app with the help of a simple API call. Something that might interest you from a production/business perspective is that <b>Wit.ai</b> provides a <b>generous free tier</b> with up to <i>240 requests per minute per user</i> and <i>60 requests per minute per app</i>. Now, let us build the <b>chatbot</b> from ground up using <i>Wit.ai</i> and I will be explaining the procedure one step at a time. 1) Go to the URL https://wit.ai/ ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/wit1.JPG) 2) Click on Continue with Facebook account and fill the necessary details. 3) Your homepage should look something like this. If this is the first time you have logged in, you will also be guided with the help of an interactive tutorial. Nevertheless, you can continue reading through this tutorial to navigate your way through the platform. Now, click on the <b>Create New App</b> button. ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/wit2.JPG) 4) Select the <b>name</b> for your app and <b>preferred language</b> and click <b>'Create'</b>. ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/create.JPG) 5) A new project will be created and your screen should look like this: <br><i>(Click on image to enlarge it)</i> ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/wit3.JPG) 6) To the <i>left</i>, you can find a handy menu bar which we will talk about in a minute and at the centre, you can see the main components with which we will be brewing our magic. ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/leftbar.JPG) 7) Now, let us understand how to create an intent and select present entities in the incoming prompt as per our use-case <i>(Code Assistant)</i>. 8) In the <i>Utterance text field</i>, type what you think the end user might type. For example: A coder using our web app might type <i>"arrange my list called 'elements' in ascending order"</i>. So, this becomes our <b>utterance</b>. ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/utterance.JPG) 9) Select the <b>‘Choose or add intent’</b> dropdown button. Now, enter an intent name (a name you are comfortable with) in the text field visible and click the <b>‘+ Create Intent’</b> button to the right. In this case, I will be naming my intent <b><i>‘arrange_list’</i></b>. ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/addintent.JPG) 10) <ins>Time to select an entity</ins>: Select the text <b>‘elements’</b>. As soon as you do this, you will see a new dropdown menu. Now enter an entity name of your choice in the <b>‘Entity for elements’</b> text field and click <b>‘+ Create Entity’</b>. I will be naming it <b>‘list_name’</b>. I would recommend you to follow this naming convention if you are making the app along with me. ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/wit4.JPG) You can now see that wit.ai has highlighted our entity. 11) Click on the <b>Train and Validate</b> button at the bottom and <i>voila,</i> you just added the first utterance to your chatbot. :clap: :clap: :clap: 12) From what we have done so far, we can realize the role that the extracted intent and entity will be playing in the website's source code. For example, considering the utterance we just added, it is important to know what the user had named his/her <i>'list'</i> as and what he/she wishes to do with it. With this information, we could return <b>‘elements = elements.sorted()’</b> to the user which is the right syntax for sorting elements in ascending order in Python. 13) In the same way, you can add multiple utterances with corresponding intent and entities to the chatbot. The more the better. Add a considerable amount of utterances for the trained model to be well generalized. Only then will it return correct outputs for the user’s input prompt. Try to think from the user’s perspective and add your utterances. 14) Do not forget to hit the <b>'Train and Validate'</b> button after adding each utterance!!! ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/train.JPG) 15) One useful thing you might notice while working with <b>Wit.ai</b> is that after you add a few examples for a specific intent, Wit automatically tries to classify it. 16) After the end of this project, I would consider adding some other intents like <b>‘create_list’</b> , <b>‘list_reverse’</b> and <b>‘list_max’</b> and the names are self-explanatory as to what they mean. 17) After you are done adding all your utterances to the chatbot, click on the Setting button under the <i>Management section</i> in the <i>Left menu bar</i>. ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/settings.JPG) 18) Therein lies an important piece of information which is the <b>Server Access token</b>. Copy this as we will be needing it later. ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/wit5.JPG) That’s it. Our chatbot/ NLP agent is ready. Now, let us make a simple web interface for our <i>code editor assistant</i>. ## Code If you wish to directly run the final program on your local machine,follow the instructions in the image below:<br><br> ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/steps_to_run.png) <br><br> <b>(OR)</b> follow these steps and code along with me :muscle:..... 19) Install required libraries ~~~ pip install streamlit wit streamlit-ace ~~~ '<i>wit</i>' is the library to be installed for interacting with the Wit API and '<i>streamlit-ace'</i> library is to be installed to construct out of the box code-editors on the webpage as implementing one on our own can get quite complicated. 20) Create a new python file called <b>Devbot.py</b> and paste the following code:<br> <i>Read the comments in green to understand the code or follow along for an in-depth explanation of the code.</i> ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/code1.png) You can find the above code at the following Github repo link:<br> https://github.com/Sharan-Babu/FB_wit <br><br> 21) Here,you have one change to be made. At 'line 7' replace my 'access token' with yours which you copied from the settings page for the changes you made to take effect. You can use mine as well. ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/token.JPG) <b><ins>In-depth explanation of the code</ins></b>: <br><ul> <li>We import the streamlit library as <i>'st'</i> and you can see that this is used multiple times, using which we construct widgets like input box, menu bars and buttons.</li> <li> Other libraries to import are Wit and streamlit-ace (out of the box code editor).</li> <li> In lines 6-10, we initialize variables for easy readability. Line 8 connects us to the <i>Wit chatbot</i>.</li> <li> Lines 12-15 are completely optional. They are parameters of the streamlit-ace component. With this, you can change the supported languages, theme and feel of the editor among many other options.</li> <li>The 'output' function from lines 18-23 take the intent and entity extracted from the returned JSON(JavaScript Object Notation) as input and map them to the corresponding outputs. Later, if you decide to add other intents and range of use-cases then all you have to do is write a case/if-block for handling those intents and entities.</li> <li> Lines 24-40, we layout the widgets as per our choice on the webpage. As you can see, the streamlit-ace component has multiple changeable parameters like height,keybinding,font-size and tab-size among other things and they are all optional. <li> Lines 44-57, we take input from the user with the help of a textfield, pass it to Wit and retrieve the JSON (similar to a <i>dictionary</i> in Python). The returned JSON looks like this:</li> </ul> ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/returned_json.JPG) <ul> <li> Line 48 and line 49 parse through the returned JSON and extract the intent and entity respectively. We wrap the entire block of code in a <i>'try...except'</i> block to handle errors.</li> <li>Save the file. Open the terminal, go to the working directory and run the command:</li></ul> ~~~ streamlit run Devbot.py ~~~ </ul> ### <ins>Picture of the final web application</ins>: ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/image.JPG) If you instead want the simplest interface possible, you can use the following code and have a look at the resulting webpage (Compared to the previous code, we have simply replaced the code editor component with a text-field. Nothing else has been done). ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/simpler_website.png) ### Output: ![''](https://github.com/Sharan-Babu/FB_wit/blob/master/images/simple_code_website.JPG) That’s it. We are done and now you have a fully functional and useful web app that can help make the lives of <i>devs</i> a little bit easier. <i>Congrats on making your first chatbot with Wit.ai and successfully integrating it with a web application. I would recommend you to make this app more robust or make other useful apps with your newly learnt skills!</i>:dancer: :dancer: <br><br> Scroll to the end to read about my experience with Wit and participating in this competition :point_down: <hr> ### Other Links Youtube URL for the demo: https://youtu.be/OQjbIcpCgSE <br> Github repository link: https://github.com/Sharan-Babu/FB_wit <br> Hosted Website Link: https://share.streamlit.io/sharan-babu/fb_wit/Devbot.py <br><br> Please feel free to give your feedback @:<br> Email: [email protected] <br> Linkedin: https://www.linkedin.com/in/sharan-babu-39a757197/ <hr> ## Personal Experience It all started with this <a href="https://fbai3.devpost.com/">Facebook Hackathon</a>(2 months ago) as this was the first time I learnt Wit by reading the official documentation and accompanying videos. I experimented with various projects and finally decided on a voice application. Unfortunately, I could not win in that hackathon but learnt a lot about Wit and its features. Later, apart from the pleasant swags I received from <i>Facebook</i> for a successful submission, I was also invited to participate in a Week long Wit.ai JAM session. This was really wonderful for multiple reasons. I got to meet cool people who were using Wit in ways I had never imagined and this was the first time I was part of a professional community of devs :smile:. Apart from that, we had daily sessions ranging from Lightning talks to Natural Language Understanding (NLU) which were all very insightful. Later, I was super stoked to learn that I had been selected as one of the 21 regional winners and was on :cloud:9 . The tutorial you just read was updated with the feedback I received after the first round in mind. I hope you enjoyed reading it and had something to take away. <br><br> From a technical perspective, I like <i>Wit.ai</i> for NLP tasks more than its rivals like Dialogflow or Rasa. <br><br> To conclude, I would like to say that <i>Wit</i> has a special place in my heart among other technical skills and am glad that I could contribute to the community. I intend to write more tutorials on Wit.ai and help people learn to use this amazing chatbot framework. Cheers!
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Markdown
README.md
barnabywalters/pushups
858f090019746593396954fa1f79c24f50094138
[ "MIT" ]
null
null
null
README.md
barnabywalters/pushups
858f090019746593396954fa1f79c24f50094138
[ "MIT" ]
1
2017-02-11T00:59:40.000Z
2017-02-11T00:59:40.000Z
README.md
barnabywalters/pushups
858f090019746593396954fa1f79c24f50094138
[ "MIT" ]
null
null
null
pushups ======= A single HTML file mobile “app” for tracking and publishing pushups
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README.md
ad-sho-loko/dnch
6abc98efc7d04e080826fdb8c84eb27ff1e74f5d
[ "MIT" ]
null
null
null
README.md
ad-sho-loko/dnch
6abc98efc7d04e080826fdb8c84eb27ff1e74f5d
[ "MIT" ]
null
null
null
README.md
ad-sho-loko/dnch
6abc98efc7d04e080826fdb8c84eb27ff1e74f5d
[ "MIT" ]
null
null
null
## [WIP] dhch dhch is a quick dns changer using windows/netsh. It is a toy project for me for studing golang and .NET. This cui app only uses golang, but Windows client GUI app uses .NET Framework(WPF). ## Requirement Windows Only ## How to use ### CUI 1. Launch Powershell. 2. Prepare dns.toml. If you try a sample, execute `cp sample.toml dns.toml` 3. `dnsh --help` ### Windows Tray App When you execute `dnsh serve`, this cui app would be an api server. I also developed windows tray app. try this link. ## LICENSE MIT
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docs/ObjectFranchisereferalincomeApi.md
ezmaxinc/eZmax-SDK-javascript
d4e088502169cfc1270841f6694a484c4a562937
[ "MIT" ]
null
null
null
docs/ObjectFranchisereferalincomeApi.md
ezmaxinc/eZmax-SDK-javascript
d4e088502169cfc1270841f6694a484c4a562937
[ "MIT" ]
null
null
null
docs/ObjectFranchisereferalincomeApi.md
ezmaxinc/eZmax-SDK-javascript
d4e088502169cfc1270841f6694a484c4a562937
[ "MIT" ]
null
null
null
# EZmaxApiDefinitionFull.ObjectFranchisereferalincomeApi All URIs are relative to *https://prod.api.appcluster01.ca-central-1.ezmax.com/rest* Method | HTTP request | Description ------------- | ------------- | ------------- [**franchisereferalincomeCreateObjectV1**](ObjectFranchisereferalincomeApi.md#franchisereferalincomeCreateObjectV1) | **POST** /1/object/franchisereferalincome | Create a new Franchisereferalincome [**franchisereferalincomeCreateObjectV2**](ObjectFranchisereferalincomeApi.md#franchisereferalincomeCreateObjectV2) | **POST** /2/object/franchisereferalincome | Create a new Franchisereferalincome ## franchisereferalincomeCreateObjectV1 > FranchisereferalincomeCreateObjectV1Response franchisereferalincomeCreateObjectV1(FranchisereferalincomeCreateObjectV1Request) Create a new Franchisereferalincome The endpoint allows to create one or many elements at once. The array can contain simple (Just the object) or compound (The object and its child) objects. Creating compound elements allows to reduce the multiple requests to create all child objects. ### Example ```javascript import EZmaxApiDefinitionFull from 'e_zmax_api_definition__full'; let defaultClient = EZmaxApiDefinitionFull.ApiClient.instance; // Configure API key authorization: Authorization let Authorization = defaultClient.authentications['Authorization']; Authorization.apiKey = 'YOUR API KEY'; // Uncomment the following line to set a prefix for the API key, e.g. "Token" (defaults to null) //Authorization.apiKeyPrefix = 'Token'; let apiInstance = new EZmaxApiDefinitionFull.ObjectFranchisereferalincomeApi(); let FranchisereferalincomeCreateObjectV1Request = [new EZmaxApiDefinitionFull.FranchisereferalincomeCreateObjectV1Request()]; // [FranchisereferalincomeCreateObjectV1Request] | apiInstance.franchisereferalincomeCreateObjectV1(FranchisereferalincomeCreateObjectV1Request, (error, data, response) => { if (error) { console.error(error); } else { console.log('API called successfully. Returned data: ' + data); } }); ``` ### Parameters Name | Type | Description | Notes ------------- | ------------- | ------------- | ------------- **FranchisereferalincomeCreateObjectV1Request** | [**[FranchisereferalincomeCreateObjectV1Request]**](FranchisereferalincomeCreateObjectV1Request.md)| | ### Return type [**FranchisereferalincomeCreateObjectV1Response**](FranchisereferalincomeCreateObjectV1Response.md) ### Authorization [Authorization](../README.md#Authorization) ### HTTP request headers - **Content-Type**: application/json - **Accept**: application/json ## franchisereferalincomeCreateObjectV2 > FranchisereferalincomeCreateObjectV2Response franchisereferalincomeCreateObjectV2(FranchisereferalincomeCreateObjectV2Request) Create a new Franchisereferalincome The endpoint allows to create one or many elements at once. ### Example ```javascript import EZmaxApiDefinitionFull from 'e_zmax_api_definition__full'; let defaultClient = EZmaxApiDefinitionFull.ApiClient.instance; // Configure API key authorization: Authorization let Authorization = defaultClient.authentications['Authorization']; Authorization.apiKey = 'YOUR API KEY'; // Uncomment the following line to set a prefix for the API key, e.g. "Token" (defaults to null) //Authorization.apiKeyPrefix = 'Token'; let apiInstance = new EZmaxApiDefinitionFull.ObjectFranchisereferalincomeApi(); let FranchisereferalincomeCreateObjectV2Request = new EZmaxApiDefinitionFull.FranchisereferalincomeCreateObjectV2Request(); // FranchisereferalincomeCreateObjectV2Request | apiInstance.franchisereferalincomeCreateObjectV2(FranchisereferalincomeCreateObjectV2Request, (error, data, response) => { if (error) { console.error(error); } else { console.log('API called successfully. Returned data: ' + data); } }); ``` ### Parameters Name | Type | Description | Notes ------------- | ------------- | ------------- | ------------- **FranchisereferalincomeCreateObjectV2Request** | [**FranchisereferalincomeCreateObjectV2Request**](FranchisereferalincomeCreateObjectV2Request.md)| | ### Return type [**FranchisereferalincomeCreateObjectV2Response**](FranchisereferalincomeCreateObjectV2Response.md) ### Authorization [Authorization](../README.md#Authorization) ### HTTP request headers - **Content-Type**: application/json - **Accept**: application/json
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README.md
netil/WAU
ad155a8f20b18e709d4e4aacc3ed9c7f40ddc10b
[ "MIT" ]
null
null
null
README.md
netil/WAU
ad155a8f20b18e709d4e4aacc3ed9c7f40ddc10b
[ "MIT" ]
1
2016-12-17T12:35:03.000Z
2016-12-17T12:35:03.000Z
README.md
netil/WAU
ad155a8f20b18e709d4e4aacc3ed9c7f40ddc10b
[ "MIT" ]
null
null
null
WAU === Simple WebAudio API Utility ## Description * WAU is a WebAudio API library, which facilitate control sound sources and connect WebAudio API's AudioNodes easily. ### Examples ```javascript var node = new WAU({ path : "./source", source : ["sound1.mp3"[, ... ]] }); node.src("sound1.mp3").play(true); // for loop play node.src("sound1.mp3").plug("biquad", { type:0, frequency:500, Q:10 }).play(); node.src("sound1.mp3").plug("biquad", { type:0, frequency:500, Q:10 }).plug("compressor").play(); // When attempt to get source which isn't in buffer yet, load it to the buffer and throw with error message for the next attempt. node.src("sound2.mp3") // error in first attempt node.src("sound2.mp3").play() // ok for next attempt node.src("sound2.mp3").stop() // stop playing ``` ## Documentations ### Methods * .src(string) // Get(or load) the audio source. * .plug(string) // Plug the source with the indicated AudioNode. (Check the available list of nodes below) * .volume(number) // Set the volume. * .biquad({...}) // Set the biquadFilter value if the source was connected. * .play() // Play audio source. * .stop() // Stop playing source. * .getBufferList() // Get decoded audio source in buffer memory. ### List of nodes * compressor ```javascript node.src("sound.mp3").plug("compressor").play(); ``` * biquadFilter ```javascript node.src("sound.mp3").plug("biquad", { type : 0, frequency : 1000, Q : 10 }).play(); ``` * convolver ```javascript node.src("sound.mp3").plug("convolver", "convolver_sound.mp3").play(); ``` * delay ```javascript node.src("sound.mp3").plug("delay", 5).play(); ``` * javascript ```javascript node.src("sound.mp3").plug("javascript", function(e) { var nChannel = e.inputBuffer.numberOfChannels; for(var i=0, aBuffer; i < nChannel;i++) { console.log(e.inputBuffer.getChannelData(i)); } }).play(); ``` ## License MIT License
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README.md
peter-raven/senturios
bfa372f5377b3de8d6deaedc032939126ca01402
[ "MIT" ]
null
null
null
README.md
peter-raven/senturios
bfa372f5377b3de8d6deaedc032939126ca01402
[ "MIT" ]
null
null
null
README.md
peter-raven/senturios
bfa372f5377b3de8d6deaedc032939126ca01402
[ "MIT" ]
null
null
null
# Mission til Senturios [English description available](README-EN.md). Dette er et arkiv med den oprindelige sourcekode til det danske teksteventyrspil "Mission til Senturios", skrevet af Peter Ravnholt i 1989. Det blev skrevet i [Borland Turbo Basic 1.0](https://www.abandonwaredos.com/abandonware-game.php?abandonware=Borland+Turbo+Basic+1.0&gid=2602). Dette repository bliver holdt af historiske grunde (og en smule nostalgi). ![Screendump fra spillet](sansom.png "Screendump fra spillet") * [SANSOM.BAS](SANSOM.BAS): Hovedprogrammet. * [SDATA1.DAT](SDATA1.DAT): Datafil med lokationer. * [SDATA2.DAT](SDATA2.DAT): Datafil med genstande. * [HELP.TXT](HELP.TXT): Hjælp og instruktioner til spillet. * [MISSION.TXT](MISSION.TXT): Intro til spillets handling. * [HISTORY.TXT](HISTORY.TXT): Opdigtede hovedbegivenheder i verden fra år 2000 og frem, som baggrund for handlingen. Meget underholdende læsning (og tankevækkende rigtigt ramt i flere tilfælde). [Besøg FableTree Production's nostalgiside](https://fabletreeproductions.dk/da/nostalgia/index.html) for mere information og mulighed for at køre spillet i browseren.
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