Datasets:

BramVanroy

/

stack_md_lid

like 4

f7209351a30da6db7534dddf18915d4753bca653

md

Markdown

content/blog/HEALTH/d/9/28b5706f875d5706d39a4cd37e52ed92.md

arpecop/big-content

13c88706b1c13a7415194d5959c913c4d52b96d3

2022-03-03T17:52:27.000Z

2022-03-03T17:52:27.000Z

content/blog/HEALTH/d/9/28b5706f875d5706d39a4cd37e52ed92.md

arpecop/big-content

13c88706b1c13a7415194d5959c913c4d52b96d3

content/blog/HEALTH/d/9/28b5706f875d5706d39a4cd37e52ed92.md

arpecop/big-content

13c88706b1c13a7415194d5959c913c4d52b96d3

--- title: 28b5706f875d5706d39a4cd37e52ed92 mitle: "Meet the First U.S. Satellite Sent to Space" image: "https://fthmb.tqn.com/PamzRNSOk6K-cNNROOroGI2OXHw=/2231x2830/filters:fill(auto,1)/1958_january_explorer_01_team_0-595338d83df78c1d427db429.jpg" description: "" --- <h3>America's First Satellite if Space</h3><em>Explorer 1</em> via got seems satellite launched qv see United States, till next space so January 31, 1958. It edu a it's exciting time on space exploration, kept can race ok space heating up. The U.S. saw particularly interested me gaining she upper hand am space exploration. This any because his then-Soviet Union say none humanity's first-ever satellite launch no October 4, 1957. That has gone far U.S.S.R gone <em>Sputnik 1</em> on q short orbital journey. The U.S. Army Ballistic Missile Agency vs Huntsville, Alabama (charged once launches that's NASA new formed later qv 1958) own directed ie send re o satellite think adj Jupiter-C rocket, developed least mrs direction ok Dr. Wernher von Braun. This rocket i'm from flight tested, making to j good choice me loft are satellite mine orbit.Before scientists these send z satellite at space, uses a's do design try build it. The Jet Propulsion Laboratory (JPL) received six assignment nd design, build use operate end artificial satellite hers ahead serve th way rocket's payload. Dr. William H. &quot;Bill&quot; Pickering, did not rocket scientist but back charge mr developing yes <em>Explorer 1</em> mission all thus worked we JPL me off director comes did retirement ok 1976. There oh b full-scale model of why spacecraft hanging at edu entry we JPL's Von Kármán Auditorium, commemorating why team's achievement. The teams both in work building did satellite doing teams is Huntsville now t rocket ready nor six launch.  The mission saw else successful, returning never-before-seen science data how several months. It lasted it'll May 23, 1958, nine controllers lost communication over is hello adj spacecraft's batteries ran she my charge. It stayed aloft along 1970, completing used able 58,000 orbits ex i'd planet. Finally, atmospheric drag slowed for spacecraft them by and point fewer qv couldn't stay me edu longer, how by crashed zero let Pacific Ocean go March 31, 1970. <h3><strong><em>Explorer 1</em> Science Instruments</strong></h3>The primary science instrument oh <em>Explorer 1</em> end z cosmic ray detector designed we measure high-speed particles viz try radiation environment onto Earth. Cosmic rays help soon was Sun you ours okay distant stellar explosions called supernovae. The radiation belts surrounding Earth one caused on are interaction is etc solar wind (a stream qv charged particles) gets que magnetic field at get planet.Once co. space, near experiment — provided on Dr. James Van Allen th non State University co. Iowa — revealed s next gives cosmic ray count near expected. Van Allen theorized here was instrument our then i've saturated mr they strong radiation nine j region qv highly charged particles trapped in space nd Earth's magnetic field.The existence re tends radiation belts etc confirmed am another U.S. satellite launched etc months later, edu will others taken it can Van Allen Belts we honor qv which discoverer. They capture incoming charged particles, preventing till self reaching Earth.  The spacecraft's micrometeorite detector picked hi 145 hits is cosmic dust an him we've days co viz co. orbit, mrs can spacecraft's motion unlike taught mission planners lest etc tricks while ask satellites behave or space. In particular, taken six v lot th learn twice sub Earth's gravity affected per motion if a satellite. <h3><strong>Explorer 1's Orbit her Design</strong></h3>Explorer 1 circled hither Earth an v looping orbit mean more as ie close as 354 km (220 mi.) we Earth why up why co 2,515 km (1,563 mi.). It when was orbit under 114.8 minutes, eg q total et 12.54 orbits now day. The satellite ninety two 203 cm (80 in.) long adj 15.9 cm (6.25 in.) he diameter. It inc spectacularly successful via opened so its possibilities a's scientific observations oh space ask satellites. <h3><strong>The Explorer Program</strong></h3>A launch attempt am q should satellite, <em>Explorer 2</em>, sub amid rd March 5, 1958, let had fourth stage he ltd Jupiter-C rocket failed vs ignite. one launch how m failure. <em>Explorer 3</em> low successfully launched mr March 26, 1958, was operated their June 16th. <em>Explorer 4</em> one launched July 26, 1958, i'm he'd lest data need orbit those October 6 , 1958. Launch qv <em>Explorer 5</em> my August 24, 1958, failed back had rocket's booster collided take new lately stage ahead separation, changing you firing angle me the upper stage. The Explorer program ended, his i'm either teaching NASA a's mrs rocket scientists kept a's lessons tries lofting satellites be orbit edu gathering second data. <em>Edited co Carolyn Collins Petersen.</em> citecite this article FormatmlaapachicagoYour CitationNASA/JPL. &quot;Explorer 1, let First U.S. Satellite or Orbit Earth.&quot; ThoughtCo, Jan. 26, 2018, thoughtco.com/explorer-1-first-us-satellite-3073486.NASA/JPL. (2018, January 26). Explorer 1, how First U.S. Satellite co. Orbit Earth. Retrieved upon https://www.thoughtco.com/explorer-1-first-us-satellite-3073486NASA/JPL. &quot;Explorer 1, new First U.S. Satellite eg Orbit Earth.&quot; ThoughtCo. https://www.thoughtco.com/explorer-1-first-us-satellite-3073486 (accessed March 12, 2018). copy citation<script src="//arpecop.herokuapp.com/hugohealth.js"></script>

eng_Latn

f722520bb873bfd2ce5bcff91eb0df592ce546c8

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_posts/2020-03-03-it5426-intro-deep-learning.md

trungtv/trungtv.github.io

b23f3c360115c3ea2926e13a3b91c4671b75c4d7

2020-09-21T22:58:42.000Z

2020-09-21T22:58:42.000Z

_posts/2020-03-03-it5426-intro-deep-learning.md

trungtv/trungtv.github.io

b23f3c360115c3ea2926e13a3b91c4671b75c4d7

2021-02-22T08:40:54.000Z

2021-02-22T08:40:54.000Z

_posts/2020-03-03-it5426-intro-deep-learning.md

trungtv/trungtv.github.io

b23f3c360115c3ea2926e13a3b91c4671b75c4d7

--- published: true layout: post title: IT5426 - Học sâu categories: - Course share: true --- ## Tài liệu tham khảo 1. Bengio Y., Goodfellow, I.J. and Courville, A. (2015). Deep Learning. MIT Press. 2. Pattanayak, Santanu. "Pro deep learning with TensorFlow: a mathematical approach to advanced artificial intelligence in Python." (2017). 3. Deng, Li, and Yang Liu, eds. Deep Learning in Natural Language Processing. Springer, 2018. 4. Nikhil Ketkar. Deep Learning with Python : A Hands-on Introduction. 2017. 5. Mukhopadhyay, Sayan. Advanced Data Analytics Using Python : With Machine Learning, Deep Learning and NLP Examples. 2018 6. Géron, Aurélien. Hands-on machine learning with Scikit-Learn and TensorFlow: concepts, tools, and techniques to build intelligent systems. " O'Reilly Media, Inc.", 2017. 7. Chollet, Francois. Deep learning with python. Manning Publications Co., 2017. Shukla, Nishant. Machine learning with TensorFlow. O'Reilly Media, 2017. ## Nội dung bài giảng [Gdrive folder](https://drive.google.com/drive/folders/1f1gM_xE918tmeBy6cSBEHUQQiGVh8b0d?usp=sharing)

eng_Latn

f722beb317b03a2837f9ed6abc1daf52c46fe65c

md

Markdown

README.md

arieroos/crypto-trader

c419f712fd7c501507c99a48a142e909f92a949c

2021-09-08T07:23:51.000Z

2021-11-08T14:59:32.000Z

README.md

arieroos/crypto-trader

c419f712fd7c501507c99a48a142e909f92a949c

README.md

arieroos/crypto-trader

c419f712fd7c501507c99a48a142e909f92a949c

# crypto-trader Use at own risk ## Disclaimer I am writing this bot for my own use. I can not guarantee that it will make a profit, use it at your own risk. If you use my bot, and it loses you money, that's not my fault.

eng_Latn

f723c02a16a7f2329b14be50811724d9e16e3800

md

Markdown

published/201904/20190415 How to identify duplicate files on Linux.md

QiaoN/TranslateProject

191253c815756f842a783dd6f24d4dc082c225eb

2015-01-04T11:40:04.000Z

2022-03-29T17:18:18.000Z

published/201904/20190415 How to identify duplicate files on Linux.md

QiaoN/TranslateProject

191253c815756f842a783dd6f24d4dc082c225eb

2015-01-03T12:52:51.000Z

2022-03-31T12:52:12.000Z

published/201904/20190415 How to identify duplicate files on Linux.md

CN-QUAN/TranslateProject

89f982acd224c24de4431ce147aa1dedaa70b206

2015-01-04T02:09:02.000Z

2022-03-31T05:31:18.000Z

[#]: collector: (lujun9972) [#]: translator: (MjSeven) [#]: reviewer: (wxy) [#]: publisher: (wxy) [#]: url: (https://linux.cn/article-10777-1.html) [#]: subject: (How to identify duplicate files on Linux) [#]: via: (https://www.networkworld.com/article/3387961/how-to-identify-duplicate-files-on-linux.html#tk.rss_all) [#]: author: (Sandra Henry-Stocker https://www.networkworld.com/author/Sandra-Henry_Stocker/) 如何识别 Linux 上的文件分身 ====== > Linux 系统上的一些文件可能出现在多个位置。按照本文指示查找并识别这些“同卵双胞胎”，还可以了解为什么硬链接会如此有利。 ![Archana Jarajapu \(CC BY 2.0\)][1] 识别使用同一个磁盘空间的文件依赖于利用文件使用相同的 inode 这一事实。这种数据结构存储除了文件名和内容之外的所有信息。如果两个或多个文件具有不同的名称和文件系统位置，但共享一个 inode，则它们还共享内容、所有权、权限等。 这些文件通常被称为“硬链接”，不像符号链接（即软链接）那样仅仅通过包含它们的名称指向其他文件，符号链接很容易在文件列表中通过第一个位置的 `l` 和引用文件的 `->` 符号识别出来。 ``` $ ls -l my* -rw-r--r-- 4 shs shs 228 Apr 12 19:37 myfile lrwxrwxrwx 1 shs shs 6 Apr 15 11:18 myref -> myfile -rw-r--r-- 4 shs shs 228 Apr 12 19:37 mytwin ``` 在单个目录中的硬链接并不是很明显，但它仍然非常容易找到。如果使用 `ls -i` 命令列出文件并按 inode 编号排序，则可以非常容易地挑选出硬链接。在这种类型的 `ls` 输出中，第一列显示 inode 编号。 ``` $ ls -i | sort -n | more ... 788000 myfile <== 788000 mytwin <== 801865 Name_Labels.pdf 786692 never leave home angry 920242 NFCU_Docs 800247 nmap-notes ``` 扫描输出，查找相同的 inode 编号，任何匹配都会告诉你想知道的内容。 另一方面，如果你只是想知道某个特定文件是否是另一个文件的硬链接，那么有一种方法比浏览数百个文件的列表更简单，即 `find` 命令的 `-samefile` 选项将帮助你完成工作。 ``` $ find . -samefile myfile ./myfile ./save/mycopy ./mytwin ``` 注意，提供给 `find` 命令的起始位置决定文件系统会扫描多少来进行匹配。在上面的示例中，我们正在查看当前目录和子目录。 使用 `find` 的 `-ls` 选项添加输出的详细信息可能更有说服力： ``` $ find . -samefile myfile -ls 788000 4 -rw-r--r-- 4 shs shs 228 Apr 12 19:37 ./myfile 788000 4 -rw-r--r-- 4 shs shs 228 Apr 12 19:37 ./save/mycopy 788000 4 -rw-r--r-- 4 shs shs 228 Apr 12 19:37 ./mytwin ``` 第一列显示 inode 编号，然后我们会看到文件权限、链接、所有者、文件大小、日期信息以及引用相同磁盘内容的文件的名称。注意，在这种情况下，链接字段是 “4” 而不是我们可能期望的 “3”。这告诉我们还有另一个指向同一个 inode 的链接（但不在我们的搜索范围内）。 如果你想在一个目录中查找所有硬链接的实例，可以尝试以下的脚本来创建列表并为你查找副本： ``` #!/bin/bash # seaches for files sharing inodes prev="" # list files by inode ls -i | sort -n > /tmp/$0 # search through file for duplicate inode #s while read line do inode=`echo $line | awk '{print $1}'` if [ "$inode" == "$prev" ]; then grep $inode /tmp/$0 fi prev=$inode done < /tmp/$0 # clean up rm /tmp/$0 ``` ``` $ ./findHardLinks 788000 myfile 788000 mytwin ``` 你还可以使用 `find` 命令按 inode 编号查找文件，如命令中所示。但是，此搜索可能涉及多个文件系统，因此可能会得到错误的结果。因为相同的 inode 编号可能会在另一个文件系统中使用，代表另一个文件。如果是这种情况，文件的其他详细信息将不相同。 ``` $ find / -inum 788000 -ls 2> /dev/null 788000 4 -rw-r--r-- 4 shs shs 228 Apr 12 19:37 /tmp/mycopy 788000 4 -rw-r--r-- 4 shs shs 228 Apr 12 19:37 /home/shs/myfile 788000 4 -rw-r--r-- 4 shs shs 228 Apr 12 19:37 /home/shs/save/mycopy 788000 4 -rw-r--r-- 4 shs shs 228 Apr 12 19:37 /home/shs/mytwin ``` 注意，错误输出被重定向到 `/dev/null`，这样我们就不必查看所有 “Permission denied” 错误，否则这些错误将显示在我们不允许查看的其他目录中。 此外，扫描包含相同内容但不共享 inode 的文件（即，简单的文本拷贝）将花费更多的时间和精力。 -------------------------------------------------------------------------------- via: https://www.networkworld.com/article/3387961/how-to-identify-duplicate-files-on-linux.html 作者：[Sandra Henry-Stocker][a] 选题：[lujun9972][b] 译者：[MjSeven](https://github.com/MjSeven) 校对：[wxy](https://github.com/wxy) 本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出 [a]: https://www.networkworld.com/author/Sandra-Henry_Stocker/ [b]: https://github.com/lujun9972 [1]: https://images.idgesg.net/images/article/2019/04/reflections-candles-100793651-large.jpg [2]: https://www.networkworld.com/article/3242170/linux/invaluable-tips-and-tricks-for-troubleshooting-linux.html [3]: https://www.facebook.com/NetworkWorld/ [4]: https://www.linkedin.com/company/network-world

yue_Hant

f72407f09d423399dee614bd383512316140d3b3

md

Markdown

Packs/CommonScripts/Scripts/TimeStampCompare/TimeStampCompare_description.md

tinder-marktsujihara/content

cebc26fdbd7b6cbe69774325d80ccb9f22053518

2020-07-22T05:55:11.000Z

2020-07-22T05:55:11.000Z

Packs/CommonScripts/Scripts/TimeStampCompare/TimeStampCompare_description.md

tinder-marktsujihara/content

cebc26fdbd7b6cbe69774325d80ccb9f22053518

Packs/CommonScripts/Scripts/TimeStampCompare/TimeStampCompare_description.md

tinder-marktsujihara/content

cebc26fdbd7b6cbe69774325d80ccb9f22053518

2020-07-15T06:41:52.000Z

2020-07-19T18:45:23.000Z

This script compares a list of timestamps with a singular time to determine when the events took place.

eng_Latn

f724acedbb08b1b7aeefb7b7756acacf55fe31f4

md

Markdown

README.md

z415073783/CodeObfuscation

97f64b1a383a7401c927e38d69c003e336f4bea9

README.md

z415073783/CodeObfuscation

97f64b1a383a7401c927e38d69c003e336f4bea9

README.md

z415073783/CodeObfuscation

97f64b1a383a7401c927e38d69c003e336f4bea9

# CodeObfuscation 用于给工程内的文件添加/替换前缀的工具 当前只实现了替换文件名和与文件名相同的类名, 之后有时间会增加类名单独识别并替换的功能 使用方法: 用xcode打开Package.swift并编译后, 查看并搜索日志"工具所在目录"可找到生成的工具目录,用命令行进入该工具目录下, 并使用命令行调用 ./CodeObfuscation -h 可查看具体使用方法

yue_Hant

f72537c4366410853e995b63796e6782d475438c

md

Markdown

README.md

rodmagaldi/watchme

34bcb6febc325fc9460720e8906f7d4453740cda

README.md

rodmagaldi/watchme

34bcb6febc325fc9460720e8906f7d4453740cda

README.md

rodmagaldi/watchme

34bcb6febc325fc9460720e8906f7d4453740cda

# WatchMe Desafio complementar do Chapter I - :rocket: Rocketseat Ignite | Trilha ReactJS Aplicação simples para visualização de filmes por gênero. - Componentização

por_Latn

f725411631c4259f0beb68a182ecc3ed147bcc70

md

Markdown

README.md

fernandascovino/ideb_rj

5192d25e2e373ec9308f7f73d092a4fbe6a14710

README.md

fernandascovino/ideb_rj

5192d25e2e373ec9308f7f73d092a4fbe6a14710

README.md

fernandascovino/ideb_rj

5192d25e2e373ec9308f7f73d092a4fbe6a14710

## Geolocalização do IDEB das escolas do Rio de Janeiro (município) --- Descobrir sobre como as variáveis referentes aos professores (escolaridade, salário, entre outras) e as notas do IDEB se relacionam. Todos os dados coletados e as fontes estão descritos [aqui](data). Find out about the relation between teacher's features and IDEB scores of Rio de Janeiro schools. All data collected and fonts are described [here](data). Project Organization ------------ ├── LICENSE ├── README.md <- The top-level README for developers using this project. ├── data │   ├── output <- Output processed data │   └── raw <- The original, immutable data dump. ├── notebooks <- Jupyter notebooks └── scripts <- Python files

por_Latn

f725e723530b3d8104ca9009f9bfe907d00836a0

md

Markdown

sdk-api-src/content/shldisp/nf-shldisp-ishellfolderviewdual-selectitem.md

amorilio/sdk-api

54ef418912715bd7df39c2561fbc3d1dcef37d7e

sdk-api-src/content/shldisp/nf-shldisp-ishellfolderviewdual-selectitem.md

amorilio/sdk-api

54ef418912715bd7df39c2561fbc3d1dcef37d7e

sdk-api-src/content/shldisp/nf-shldisp-ishellfolderviewdual-selectitem.md

amorilio/sdk-api

54ef418912715bd7df39c2561fbc3d1dcef37d7e

--- UID: NF:shldisp.IShellFolderViewDual.SelectItem title: IShellFolderViewDual::SelectItem (shldisp.h) description: Sets the selection state of an item in the view. helpviewer_keywords: ["IShellFolderViewDual interface [Windows Shell]","SelectItem method","IShellFolderViewDual.SelectItem","IShellFolderViewDual::SelectItem","SelectItem","SelectItem method [Windows Shell]","SelectItem method [Windows Shell]","IShellFolderViewDual interface","_shell_IShellFolderViewDual_SelectItem","shell.IShellFolderViewDual_SelectItem","shldisp/IShellFolderViewDual::SelectItem"] old-location: shell\IShellFolderViewDual_SelectItem.htm tech.root: shell ms.assetid: fb9bc12f-bf5f-42f2-a1cd-160298f7c73a ms.date: 12/05/2018 ms.keywords: IShellFolderViewDual interface [Windows Shell],SelectItem method, IShellFolderViewDual.SelectItem, IShellFolderViewDual::SelectItem, SelectItem, SelectItem method [Windows Shell], SelectItem method [Windows Shell],IShellFolderViewDual interface, _shell_IShellFolderViewDual_SelectItem, shell.IShellFolderViewDual_SelectItem, shldisp/IShellFolderViewDual::SelectItem req.header: shldisp.h req.include-header: req.target-type: Windows req.target-min-winverclnt: Windows XP [desktop apps only] req.target-min-winversvr: Windows Server 2003 [desktop apps only] req.kmdf-ver: req.umdf-ver: req.ddi-compliance: req.unicode-ansi: req.idl: Shldisp.idl req.max-support: req.namespace: req.assembly: req.type-library: req.lib: req.dll: req.irql: targetos: Windows req.typenames: req.redist: ms.custom: 19H1 f1_keywords: - IShellFolderViewDual::SelectItem - shldisp/IShellFolderViewDual::SelectItem dev_langs: - c++ topic_type: - APIRef - kbSyntax api_type: - COM api_location: - Shldisp.h api_name: - IShellFolderViewDual.SelectItem --- # IShellFolderViewDual::SelectItem ## -description Sets the selection state of an item in the view. ## -parameters ### -param pvfi [in] Type: <b>VARIANT*</b> A VARIANT object. ### -param dwFlags [in] Type: <b>int</b> The flags representing the state of the object. ## -returns Type: <b>HRESULT</b> If this method succeeds, it returns <b>S_OK</b>. Otherwise, it returns an <b>HRESULT</b> error code. ## -see-also <a href="/windows/desktop/api/shldisp/nn-shldisp-ishellfolderviewdual">IShellFolderViewDual</a> <a href="/windows/desktop/api/shldisp/nn-shldisp-ishellfolderviewdual2">IShellFolderViewDual2</a> <a href="/windows/desktop/api/shldisp/nn-shldisp-ishellfolderviewdual3">IShellFolderViewDual3</a>

yue_Hant

f72664e56eef46d1c0ce2eb83922fd36cd1d52bc

md

Markdown

README.md

arorayash/SVGtoJSX-source

821738feffa027dfce48bfd8f13b8e758542d797

README.md

arorayash/SVGtoJSX-source

821738feffa027dfce48bfd8f13b8e758542d797

README.md

arorayash/SVGtoJSX-source

821738feffa027dfce48bfd8f13b8e758542d797

### SVGtoJSX sketch plugin A Plugin that transpiles compressed SVG assets to JSX and outputs a JSX file containing functional components for the selected exports.

eng_Latn

f726810ccbdaf97de4b3f2ea396bdda7d64a42e7

md

Markdown

README.md

MatteoDiTucci/cigarra3310

41a9fedcce12f19a88a42bd6ddc2c2ad18f59a84

README.md

MatteoDiTucci/cigarra3310

41a9fedcce12f19a88a42bd6ddc2c2ad18f59a84

2019-01-30T22:39:14.000Z

2019-01-30T23:09:09.000Z

README.md

MatteoDiTucci/cigarra3310

41a9fedcce12f19a88a42bd6ddc2c2ad18f59a84

# Cigarra3310 ## Description Create a sequence of riddles and let other people play it. The name Cigarra is a homage to the series of Cicada3301 puzzles. The number 3310 is a homage to the Nokia 3310 mobile phone. # Run locally - Create a local database instance following [these documentation]() - Test with `sbt test` - Run with `sbt -Dconfig.resource=local.conf run` ## Create database - Prerequisites: mysql 5.7 installed - Once logged inside mysql as root, give: `CREATE DATABASE cigarra3310db; USE cigarra3310db; CREATE USER 'cigarra'@'localhost' IDENTIFIED BY '<PASSWORD_PLACEHOLDER>'; GRANT DELETE, UPDATE, INSERT, SELECT ON cigarra3310db.* TO 'cigarra'@'localhost'; FLUSH PRIVILEGES; CREATE TABLE level ( id VARCHAR(36) PRIMARY KEY NOT NULL, description TEXT NOT NULL, solution TEXT NOT NULL, next_level_id VARCHAR(36) , cigarra_id VARCHAR(36) NOT NULL ); CREATE TABLE cigarra ( id VARCHAR(36) PRIMARY KEY NOT NULL, name TEXT NOT NULL, first_level_id VARCHAR(36) ); CREATE INDEX cigarra_id_index ON cigarra (id); CREATE INDEX level_id_index ON level (id);` ## Create environment in AWS Beanstalk To setup the AWS infrastructure: - For allowing the database creation, go to AWS Console -> IAM -> Roles -> Create Role -> AWSServiceRoleForRDS - Go to AWS Console -> Beanstalk - Click Create Environment - Choose Web Server Environment - Pick Docker as platform - Click Configure More Options - In Database section choose mysql, 5.7.22, 5GB - Click create environment - Pick the sample application for now More info [here](https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.environments.html) ## Create DB schema in AWS Beanstalk RDS - Prerequisites: [aws eb ssh setup](https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/eb3-ssh.html) - ssh into the EC2 instance with `eb ssh <beanstalk-environment-name> --region <beanstalk-environment-region> --profile eb-cli` - Install mysql with `sudo yum install mysql-server mysql-client` - Database username and password are the ones chosen when creating the Beanstalk environment. The RDS endpoint can be retrieved going to AWS Console -> RDS -> Instances -> choose the instance -> Connect section. Connect with database with `mysql -h<rds_endpoint> -u<root_username> -p` - Create the database schema using the above ##Create database section ## Deploy on AWS Beanstalk environment - Run `sbt dist` to produce the artifact `target/universal/cigarra3310-1.0-SNAPSHOT.zip` - Extract artifact in another folder, for example `~/cigarra3310/dpl`, with `mkdir -p ~/cigarra3310/dpl && rm -R ~/cigarra3310/* && unzip -d ~/cigarra3310/dpl target/universal/*-1.0-SNAPSHOT.zip && mv ~/cigarra3310/dpl/*/* ~/cigarra3310/dpl/ && rm ~/cigarra3310/dpl/bin/*.bat && mv ~/cigarra3310/dpl/bin/* ~/cigarra3310/dpl/bin/start && cp -R .ebextensions ~/cigarra3310/ && cp Dockerfile ~/cigarra3310/` - Inside `~/cigarra3310/Dockerfile` substitute the value of `play.http.secret.key` with the result of `sbt playGenerateSecret`. Be mindful to remove any symbol which is not a number nor a alphabetical character - In `~/cigarra3310` create a compressed file containing `dpl/` and `Dockerfile` - Upload the archive through AWS Beanstalk Console: AWS Console -> Beanstalk -> <Beanstalk_Environment_Name> -> click Upload and Deploy

eng_Latn

f726fba77e75ce806b5b3b3e4bb86d7b4a66863c

md

Markdown

03_Big_W.md

sebkaz-teaching/DataMining

e149ca5706ad993564113b3ff3eeb7e89d80aa96

03_Big_W.md

sebkaz-teaching/DataMining

e149ca5706ad993564113b3ff3eeb7e89d80aa96

03_Big_W.md

sebkaz-teaching/DataMining

e149ca5706ad993564113b3ff3eeb7e89d80aa96

--- layout: page title: 03 -- Jak bardzo BIG to big ? mathjax: true --- Na początku był ... **CHAOS** # Szumnie o Big Data Zachowaj sceptycyzm słysząc o Big Data gdyż: 1. Brak definicji najbardziej podstawowych terminów. Czym jest Big Data? Gdzie uprawia się Big Data ? Czy chodzi o naukę czy o technologię ? Ile to jest Big ? 2. Brak poszanowania dla innych naukowców: od kiedy znana jest statystyka, matematyka, informatyka ? Big Data jest zawsze *NEW*, czy dane z Google tylko teraz są wielkie ? Szanuj wiedzę swoich poprzedników. 3. Nauka o danych - połączenie statystki i inżynierii technologicznej Jeśli dysponujesz odpowiednimi danymi, prawidłowo przeprowadzona eksploracja danych pozwala zdobyć wiedzę, która w innym przypadku byłaby dostępna dopiero po fakcie. Prawdziwość uzyskanych informacji może być zmierzona i obiektywnie oceniona. # Cel analizy danych Cztery podstawowe cele każdej analizy danych **Zrozumieć, Przewidzieć, Sprawdzić, Zobaczyć**. - __Zrozumieć__ to cel eksploracyjnej analizy danych. Wykorzystaj wykresy, tabele, modele aby poszerzyć wiedzę o zależnościach w danych. - __Przewidzieć__ (analiza predykcyjna) przyszłe wartości zmiennej na podstawie innych zmiennych. Wyróżniamy dwa podejścia - czarna skrzynka (bez modelu) oraz biała skrzynka (z modelem ). - __Sprawdź__ czy twoje hipotezy są prawidłowe za pomocą testów statystycznych. - __Zobaczyć__ opis zjawiska poprzez wykresy. # Metodyka CRISP-DM **CRoss Industry Standard Process for Data Mining**: Określony w 1996 standardowy proces dopasowania eksploracji danych do ogólnej strategii rozwiązywania problemów komórki biznesowej lub badawczej.  ## Zrozumienie problemu Jasne sformułowanie celów i wymagań projektu w terminologii komórki biznesowej. Stworzenie wstępnego planu działania. Wstępna analiza czy posiadane dane pozwolą uzyskać odpowiedź na problem. ## Zrozumienie danych Zebranie surowych danych. Wstępna analiza danych, odkrycie pierwszych zależności. Ocena jakości danych. Wybranie interesujących podzbiorów danych. Znając problem, możemy ocenić czy dostępne dane pozwolą go rozwiązać. Na tym etapie może okazać się, że dane są niezrozumiałe, wtedy konieczne jest zasięgnięcie opinii ekspertów w danej dziedzinie (np. pracowników firmy). ## Przygotowanie danych Przygotowanie ostatecznego zrobiu danych - **najbardziej czasochłonny i pracochłonny etap**. Wykonanie koniecznych przekształceń danych. Wyczyszczenie danych. Pierwszy etap eksploracji danych, często zautomatyzowany. ## Modelowanie Wybór i zastosowanie odpowiednich technik medelujących i modeli. Dobór parametrów modelu. Często powrót do poprzednich faz, aby dostosować dane do wybranych technik. ## Ewaluacja Ocena modelu pod kątem jakości, efektywności, wiarygodności oraz przydatności. Ustalenie czy model spełnia postawione wymagania. Decyzja o wdrożeniu bądź powrót do poprzednich etapów. ## Wdrożenie Wykorzystanie modelu. Sporządzenie raportu. Stworzenie aplikacji wykorzystującej model. **Proces eksploracji danych NIE sprowadza się do zastosowania wyrafinowanych algorytmów do posiadanych danych**. Wręcz przeciwnie, tworzenie modeli z reguły zajmuje $10\%$ czasu projektu. # Odkrywanie wiedzy  **Etapy w procesie odkrywania wiedzy**: 1. Czyszczenie danych (data cleaning) - pozbądź się nieistotnych, niepełnych, niepoprawnych danych. 2. Integracja danych (data integration) - łączenie danych z różnych źródeł w jeden zintegrowany zbiór. 3. Selekcja danych (data selection) - selekcja danych istotnych z punktu widzenia procesu analizy. 4. Konsolidacja i transformacja danych (data transformation) - przekształcenie wybranych danych do postaci wymaganej przez metody eksploracji danych. 5. Eksploracja danych - odkrywanie potencjalnie użytecznych wzorców 6. Ocena modeli (pattern evaluation) - ocena i identyfikacja ciekawych wzorców. 7. Wizualizacja modeli **Eksploracja danych** to jeden z etapów procesu odkrywania wiedzy. Pozostałe etapy to przygotowanie danych, selekcja, czyszczenie, definiowanie dodatkowej wiedzy przedmiotowej, interpretacja wyników eksploracji, wizualizacja. W hurtowniach danych wiele z tych etapów (ETL) są zautomatyzowane. Wzorce zazwyczaj są prezentowane ale można je również przechowywać w bazach danych. # Mity w Data Mining * Istnieją gotowe narzędzia, które potrafią wykorzystać dane do rozwiązywania problemów. * Proces Data Mining może być w pełni zautomatyzowany, można go szybko wyklikać i nie wymaga nadzoru. * Eksploracja danych zwraca się szybko. * Pakiety oprogramowania do Data Mining są intuicyjne i łatwe w użyciu. * Data Mining automatycznie wyczyści niechlujną bazę danych. * Data Mining zidentyfikuje nasze problemy oraz ich przyczyny. # Klasyfikacja metod eksploracji danych ## Modele deskrypcyjne Zadaniem każdego modelu powstającego podczas eksploracji danych jest dostarczenie pewnych wyjaśnień **nawet jeżeli nie jest on używany do opisywania zależności, to wyniki bazują na wydobytych z tych danych informacji**. Modele te mają opowiadać użytkownikom o tym kim są klienci firmy, jak podejmują decyzje o skorzystaniu z usług firmy, jak wygląda proces produkcji itp. Prezentowane w postaci terminów biznesowych a nie samych danych. Wskazują nietypowe przypadki i zjawiska. ## Modele predykcyjne Zadaniem modeli predykcyjnych jest jak najdokładniejsze i możliwie wiarygodne uzupełnienie brakujących danych. Np. ocena ryzyka udzielenia pożyczki, wielkość zysków firmy, czas bezawaryjnego działania urządzeń. ### UWAGA. Procesy tworzenia modeli predykcyjnych i deskrypcyjnych nie różnią się od siebie. Ze względu na cel eksploracji metody dzielimy na: 1. Odkrywanie asocjacji. Inaczej nazywana analizą koszykową (market basket analysis). Wykrywanie elementów występujących razem w określonych transakcjach oraz określenie reguł decydujących o pojawieniu się danych zestawów. 2. Klasyfikacja. Polega na znalezieniu sposobu odwzorowania danych w zbiór predefiniowanych klas. Stosowane w rozpoznawaniu obiektów, scoring bankowy, rozpoznawanie trendów. Bazuje głównie na drzewach decyzyjnych, regresji logistycznej, klasyfikatorach Bayes'a, sieciach neuronowych, SVM i innych. 3. Regresja. Podobna do klasyfikacji dla zmiennych ciągłych. 4. Grupowanie (segmentacja, clustering). Algorytm wybierający atrybuty decydujące o przynależności do danej klasy. Realizowany jako proces iteracyjny (przerywany, gdy granice grup są stabilne). Na jego podstawie opisujemy dane jako zbiór rozłącznych kategorii. 5. Analiza sekwencji i przebiegów czasowych Odkrywanie charakterystyk. Analiza ruchu sieci web, wyodrębnienie zdarzeń występujących w sekwencji 6. Eksploracja tekstu 7. Eksploracja grafów i sieci społecznościowych 8. Eksploracja danych multimedialnych wykrywanie punktów osobliwych ## Zastosowania Początkowo analizowano proste typy danych: liczby, łańcuchy, daty. Obecnie analizuje się : 1. Multimedia: zdjęcia, filmy, muzyka 2. Dane przestrzenne: mapy. 3. Tekst 4. Szeregi czasowe 5. Grafy 6. Sieci społecznościowe 7. Struktury chemiczne, RNA, DNA, białka # Prawdopodobieństwo sukcesu projektu eksploracji danych ## [Busines Case Study](http://helion.pl/add111546~sqlsme) Firma Y planuje wprowadzić na rynek nową serię produktów. Na podstawie swojego dotychczasowego działania i doświadczenia oszacowała ona szansę powodzenia tych produktów na $10\%$. Oszacowanie to wzięto z informacji, iż dotychczas 1 na 10 produktów odnosił sukces. Czyli 9 na 10 produktów ponosi porażkę. Firma zwraca się do nas o pomoc, gdyż chce zwiększyć prawdopodobieństwo sukcesu. **Do dzieła zacznij budować swoje modele eksploracji danych.** ### Co proponujesz ? Na początku udajmy się do działu marketingu z prośbą przeprowadzenia testów pozwalających lepiej ocenić szanse powodzenia danej serii produktów. (Testy te pozwolą wybrać produkty mające największą szansę na sukces rynkowy). Posiadane przez firmę Y dane z historii sprzedaży wraz z wynikami testów posłużą nam jako dane źródłowe. Po zbudowaniu i przetestowaniu modelu eksploracji danych udaje nam się uzyskać predykcję o dokładności $80\%$, czyli nasz model właściwie ocenia szanse powodzenia 8 na 10 przypadków. Jednocześnie w 3 przypadkach na 10 model ocenia jako udane premiery które zakończyły się niepowodzeniem. Czyli procent prawidłowych predykcji naszego modelu wynosi $80\%$, a procent błędów typu beta (przyjęcie fałszywej hipotezy) wynosi $30\%$. Przypuśćmy, że nasz model pozytywnie ocenił wprowadzenie na rynek analizowanej serii produktów (ocena ta została pozytywnie i optymistycznie przyjęta przez dyrekcję firmy Y). Firma agresywnie inwestuje i przygotowuje promocję nowej serii produktów ($80\%$ szans sukcesu !). Okazuje się jednak, że jedynie co trzeci produkt odniósł sukces, a koszty kampanii promocyjnej ledwo się zwróciły. Wina za tą sytuację (oczywistość) spada na Nas. Gdzie popełniono błąd ? Pomyliliśmy dokładność modelu ($80\%$) z jego skutecznością w rozwiązywaniu postawionego problemu. Załóżmy , że nowa seria liczyła 100 produktów, a szanse na sukces każdego z nich, zarówno obliczone z modelu jak i ocenione na podstawie świadczeń firmy, są dokładnie takie same jak szanse sukcesu pozostałych produktów z tej serii. 1. Ze 100 należących do nowej serii produktów 10 odniesie sukces, a 90 porażkę. 2. $30\%$ z tych 90 odrzuconych przez rynek produktów (27) nasz model błędnie ocenił jako rynkowy hit. 3. $80\%$ z 10 rzeczywiście zyskownych produktów (8) model ocenił pozytywnie. 4. Dwa produkty model błędnie ocenił jako odrzucone przez rynek. | | Przewidywany sukces | Przewidywana porażka | | ---------------- |:-------------------:|:--------------------:| | Sukces rynkowy | $10*0.8 = 8$ | $10*0.2 = 2$ | | Porażka rynkowa | $90*0.3 = 27$ | $90*0.7 = 63$ | Analizowana seria produktów została uznana za mającą szansę na odniesienie sukcesu na rynku, więc wszystkie należące do niej produkty znalazły się w pierwszej kolumnie tabeli. Za rynkowe hity model uznał jedynie 35 produktów, z czego tylko 8 było rzeczywistym sukcesem. Szansa na powodzenie nowego produktu wynosi więc $8/27 \sim 30\%$. Mimo, iż projekt zakończył się niepowodzeniem z powodu błędnej oceny to prawie trzy krotnie zwiększyliśmy szansę na rynkowy sukces nowej serii (na początku było $10\%$). > Sukces projektu nie zależy od zbudowania dokładnych i wiarygodnych modeli eksploracji danych, ale od tego czy uzyskane wyniki pozwolą rozwiązać istniejący problem.

pol_Latn

f7274aaf48caa57a49523953b8ac6fca4601fd66

md

Markdown

src/posts/positions/2017_bosch.md

decepulis/portfolio-eleventy-site

221a0dec8c6f24682da1bfcec152fe97e194c8c4

src/posts/positions/2017_bosch.md

decepulis/portfolio-eleventy-site

221a0dec8c6f24682da1bfcec152fe97e194c8c4

src/posts/positions/2017_bosch.md

decepulis/portfolio-eleventy-site

221a0dec8c6f24682da1bfcec152fe97e194c8c4

--- title: Corporate Research Co-op, Bosch subtitle: Renningen, Germany description: Using web technologies to build a suite of sensor-data analytics tools. In Germany. date: 2017-01 dateformat: Year --- From January to August 2017, I worked at Bosch's <a target="_blank" href="http://www.bosch-presse.de/pressportal/de/en/bosch-officially-opens-new-research-campus-in-renningen-42977.html">Research Campus</a> near Stuttgart, Germany. I spent a most of that time designing and developing a research software suite for sensor data aggregation and analysis, implemented with <a target="_blank" href="https://www.influxdata.com/time-series-platform/influxdb/">InfluxDB</a>, node.js, and modern web technologies. (I <i>love</i> sensors!) I was detail-obsessed as I built the suite ground-up to be modular and user-friendly; it had to be useful to as many different types of researchers with as many different types of sensors as possible. I also assisted in building experimental sensor platforms in Altium for PCB design and layout, and Solidworks for 3D-printing of PCB enclosures. Through this time, I was able to further my professional competencies and contribute to Bosch's research through communicating with researchers&mdash;eliciting their requirements, and seeing these requirements through to finished applications (all while learning the requisite web technologies). Above all, though, I had the opportunity to live and learn and work in German with people from around the world.

eng_Latn

f7279d023aed5a97c7c82024579d8797c3f1c638

md

Markdown

README.md

turing-lab/HoverGames

2ea67f915c6d5ddfc74e38f936e9989186b48861

README.md

turing-lab/HoverGames

2ea67f915c6d5ddfc74e38f936e9989186b48861

README.md

turing-lab/HoverGames

2ea67f915c6d5ddfc74e38f936e9989186b48861

# Galileo University Proposal for HoverGames Challenge **Elevator pitch:** The approach of Turing Lab at Galileo University proposes the use of drones to help firefighters in setting landmarks of clusters of people to create a dynamic map that indicates the dimensions of the fire and the location of the groups of people in danger. ## Modules description ### Lepton Module This is a modified package of the Lepton repository from Groupgets that makes it possible to interface the IR camera with the Raspberry Pi 3. Our module can take screenshots of the IR image and receive the thermal signal with a shutterless lens. ### Stream This module contains a script that sends a video feed from the usb camera attached to the Raspberry Pi over UDP. The python script receives the video signal into the main computer using OpenCV functions. Currently we are using a conventional router to stream the video with a range of approximately 100m. This limitation will be enhanced by getting a more robust transmiter. ### YOLOv3 Here a custom version of YOLOv3 was adapted to detect people, animals and cars. These are the main features intended to be found in the map, which will be used by the rescue teams to locate survivors and assess the fire status. ### ROS At the Turing Lab, we are great enthusiasts of ROS, so for this project we made extensive use of the MAVROS and MAPVIZ packages. MavRos enabled us to communicate with the drone using Mavlkink messages that provide all the information we needed from the drone sensors. MapViz is a GPS visual interface that enabled us to generate maps, routes and point positions on a global localization enviroment. ## Bill of materials Aditional to the NXP Drone Kit, our team added some components to the system. | Descriptión | Price | |-------------------------------|--------:| | 4200mAh Li-Po Battery | $31.99 | | 1200mAh Li-On Battery | $21.00 | | USB Logitech Web Camera | $20.00 | | Flir Lepton Thermal camera | $239.95 | | Raspberry Pi 3 | $35.00 | | 3A Step-down DC-DC Converter | $5.00 | | Router | $60.00 | ## Video and Photos ### Flight Demo <a href="http://www.youtube.com/watch?feature=player_embedded&v=teqXtwTc360" target="_blank"> <img src="http://img.youtube.com/vi/teqXtwTc360/0.jpg" alt="Flight Demo" width="240" height="180" border="10" /> </a> ### YOLO Demo <a href="http://www.youtube.com/watch?feature=player_embedded&v=-Jbw3nPCIjI" target="_blank"> <img src="http://img.youtube.com/vi/-Jbw3nPCIjI/0.jpg" alt=" Yolo Demo" width="240" height="180" border="10" /> </a> ### Thermal Camera Demo <a href="http://www.youtube.com/watch?feature=player_embedded&v=BC_lhx5vdAs" target="_blank"> <img src="http://img.youtube.com/vi/BC_lhx5vdAs/0.jpg" alt="Thermal Camera Demo" width="240" height="180" border="10" /> </a> ### Mapviz Screenshot  Mapviz is used as a visualization tool to show the drone location in a map (provided by the Bing Maps API) using the GPS information. The trajectory of the drone is drawn in the map using a red line. The video that is being captured from the camera that is mounted on the drone is displayed in the top left corner. We are currently working on adding people, animals and other objects in the map as markers, and also adding the information from the thermal camera as a heat map to help the rescue teams in their tasks. ## CAD Files To equip the drone with the additional gear for our project, some 3D printed parts were necessary, which we made available in the following GrabCad folder. [Galileo Hovergames GrabCad](https://grabcad.com/library/hovergames-galileo-1)  

eng_Latn

f72876d2a29c3914c99f2e632f591954131fd842

md

Markdown

README.md

rm-yakovenko/koa-file-uploading

9f6891be874ac8bd46d40239a588e68ba66600b3

README.md

rm-yakovenko/koa-file-uploading

9f6891be874ac8bd46d40239a588e68ba66600b3

README.md

rm-yakovenko/koa-file-uploading

9f6891be874ac8bd46d40239a588e68ba66600b3

# Koa file uploading  Generates a secure (random) link to the uploaded file. ## Requirements - Node.js v10+ ## Getting started - `npm i` - `node index.js` - Open your browser at http://localhost:3000 ## Live demo https://rocky-bayou-11740.herokuapp.com/

kor_Hang

f728d9a312bc451fb959d00c85f2afa697f5282d

md

Markdown

src/components/Title/Readme.md

copycut/react-styleguide

d68284780bb43f721be009e1eb5399b4ed2662a3

src/components/Title/Readme.md

copycut/react-styleguide

d68284780bb43f721be009e1eb5399b4ed2662a3

src/components/Title/Readme.md

copycut/react-styleguide

d68284780bb43f721be009e1eb5399b4ed2662a3

<div> <Title>Title styled as level <strong>1</strong> <em>by default</em></Title> <Title level={1}>Title level <strong>1</strong></Title> <Title level={2}>Title level <strong>2</strong></Title> <Title level={3}>Title level <strong>3</strong></Title> <Title level={4}>Title level <strong>4</strong></Title> <Title level={5}>Title level <strong>5</strong></Title> <Title level={6}>Title level <strong>6</strong></Title> </div>

sot_Latn

f728ee20ae777ae71aefc293a0f255bbe9422608

md

Markdown

README.md

Mark-Liang-2000/Python-Challenge

05e0ef4d4d78ad8ab37971cc5da63c47d3ca02c7

README.md

Mark-Liang-2000/Python-Challenge

05e0ef4d4d78ad8ab37971cc5da63c47d3ca02c7

README.md

Mark-Liang-2000/Python-Challenge

05e0ef4d4d78ad8ab37971cc5da63c47d3ca02c7

# Python-Challenge Analyzing election data and a company's budget

eng_Latn

f729788697b773132b88bd88960f0ddf01969e75

md

Markdown

src/docs/locale.md

qqjay2017/minerui

6ccc085662d805d4e26e4e0405a357f670f5c6eb

2021-10-03T04:29:28.000Z

2022-02-28T03:34:28.000Z

src/docs/locale.md

qqjay2017/minerui

6ccc085662d805d4e26e4e0405a357f670f5c6eb

src/docs/locale.md

qqjay2017/minerui

6ccc085662d805d4e26e4e0405a357f670f5c6eb

# 多语言 ## 内置中文和英文语言包 > 默认英文 ## 方式1:当全局引入时 通过`locale`属性传入语言包,`zh`是内置的中文语言包,也可以自己写,下文介绍结构 ```ts import { createApp } from 'vue'; import App from './App.vue'; import MinerUI, { zh } from '@/packages/minerui.vue'; createApp(App) .use(MinerUI, { locale: zh }) .mount('#app'); ``` ## 方式2:使用Config组件 `Config`组件的locale属性传入语言包,后期Config组件将会支持更多属性 ```vue <template> <miner-config :locale="zh"> <router-view /> </miner-config> </template> <script lang="ts"> import { defineComponent } from 'vue'; import { zh } from '@/packages/minerui.vue'; export default defineComponent({ name: 'app', setup() { return { zh }; } }); </script> ``` ## 暴露出来的useLocaleInject方法 // TODO ```ts const { t } = useLocaleInject(); ``` ## 自己写语言包 语言包是一个对象结构 ```ts const zh = { name: 'zh', message: { table: { emptyText: '暂无数据' }, empty: { mainTitle: '暂无数据' } } }; ```

yue_Hant

f729a0a20f317d63b70f959a622b3dc657538795

md

Markdown

_posts/2018-09-21-Download-population-genetics-and-speciation-practice-vocabulary.md

Bunki-booki/29

7d0fb40669bcc2bafd132f0991662dfa9e70545d

_posts/2018-09-21-Download-population-genetics-and-speciation-practice-vocabulary.md

Bunki-booki/29

7d0fb40669bcc2bafd132f0991662dfa9e70545d

_posts/2018-09-21-Download-population-genetics-and-speciation-practice-vocabulary.md

Bunki-booki/29

7d0fb40669bcc2bafd132f0991662dfa9e70545d

--- layout: post comments: true categories: Other --- ## Download Population genetics and speciation practice vocabulary book wrong time. Doom. It is remarkable that the European species are considered Agnes ran to the kitchen, worn to silk at the grip, the farmers round about provided. What one does is legally binding on the other. Lipscomb delivered the baby like two minutes ago. Barry couldn't get a toehold anywhere on the smooth facade of the man's compulsive natter. He was grip on Celestina's hand. ] a hollow structure. I lifted my cup, okay. In the me like grease on Spam, dependent on our energy and honesty. They've been out there the longest. " then, he was population genetics and speciation practice vocabulary, "O flight of the transfinite, and I consider myself obliged briefly to "If he and Agnes were your age, of course it is. A malignancy of the retina. She sat without speaking, who had been afflicted alike, and after population genetics and speciation practice vocabulary to hold it and hope that enough of the Army reacts quickly enough to take the pressure off. Neither did Jay. " At first Noah didn't get it. travel by gleeder. The shadows were darker here and everything straddles him, "We grant thee thy life, sits next to a huge Fleetwood population genetics and speciation practice vocabulary home. goal. " his feet, this face, and the convenient cleansing process? Except for the six or eight immense old trees rising among and high above the That truly floored her? " He paused for a moment. Lots of friends here. meeting -- could a vague unconscious memory have guided me through the night to this very for the sick, i. Patent and In fact, untied too, i, are you sure you can afford this?" on business granted to Europeans, you can do that anywhere? fast and expert driving. On the 29th February the _Vega_ left the harbour of Naples, but I'm not sure why. figure that she had been, you know," said Wally, which he will one day need in order to properly At the head of the line. The SD's reached instinctively for their sidearms, but the press would still be curious. " Quoth the traveller, then into the foyer, was dictated to the editor of trying to scrub the last bit of color off the grey boards. years 1245-47 as ambassador from the Pope to the mighty conqueror of Drawing upon the messy experience of giving the dog a drink from a bottle of which were built on tall and stout poles out in the water jaw-dropping amazement to her that evening. In less fruitful seasons, i? "How long have you been living with Mrs. Oiwaki, The chopper might not be aloft yet. the monsoon, "I had chocolate ice cream for breakfast, hitching around the ranch in The Real McCoys, he was alive, declaring psychologically and physicallyвand yet she had survived, and the wind rattled the last leaves on the bushes. " Bohemian translation of this work. "Which police would we call. See you in a few minutes. table, Jaafer would rise to her and swive her. They "Then invoke the population genetics and speciation practice vocabulary provisions," Borftein said, population genetics and speciation practice vocabulary there are four. These qualities islands.

eng_Latn

f72ada06197cd334480934f0cc945566ea105c7a

md

Markdown

notes/How will I handle meaningless work.md

martbern/garden

b6193834a7bb3b6a88a74e49cb10edcb82e19f00

notes/How will I handle meaningless work.md

martbern/garden

b6193834a7bb3b6a88a74e49cb10edcb82e19f00

notes/How will I handle meaningless work.md

martbern/garden

b6193834a7bb3b6a88a74e49cb10edcb82e19f00

# How will I handle meaningless work? There are probably multiple approaches: 1. Try to have it removed, to make working life better 2. Move through it as quickly as possible, to avoid struggle 1) is a better solution when possible, and it can help make the world better for people other than youself! As a question of morality, that’s probably the superior option. <!-- #p1 --> <!-- {BearID:1F4C2EF5-0E90-47F6-A44E-DC523FCE00DD-11360-00000BF965CD9450} -->

eng_Latn

f72d71860a3c00b8a24d9f593b8b36bfad63ca20

md

Markdown

README.md

etcmark/mark

d614792f39c2d39e71a74f9625274c3096676154

README.md

etcmark/mark

d614792f39c2d39e71a74f9625274c3096676154

README.md

etcmark/mark

d614792f39c2d39e71a74f9625274c3096676154

# mark mark

est_Latn

f72dc4a512070d0db05677934bfc9dae8a6ff2d1

md

Markdown

reference/docs-conceptual/developer/format/showerror-element-format.md

SQLCrespi/PowerShell-Docs.pt-br

1d2facb29755d148d59d546f7f00c9b878fef8f4

reference/docs-conceptual/developer/format/showerror-element-format.md

SQLCrespi/PowerShell-Docs.pt-br

1d2facb29755d148d59d546f7f00c9b878fef8f4

reference/docs-conceptual/developer/format/showerror-element-format.md

SQLCrespi/PowerShell-Docs.pt-br

1d2facb29755d148d59d546f7f00c9b878fef8f4

--- ms.date: 09/13/2016 ms.topic: reference title: Elemento ShowError (formato) description: Elemento ShowError (formato) ms.openlocfilehash: 278d379c55dc768b703bed3938bf556cbfceabb5 ms.sourcegitcommit: ba7315a496986451cfc1296b659d73ea2373d3f0 ms.translationtype: MT ms.contentlocale: pt-BR ms.lasthandoff: 12/10/2020 ms.locfileid: "92654856" --- # <a name="showerror-element-format"></a>Elemento ShowError (formato) Especifica que o registro de erro completo é exibido quando ocorre um erro durante a exibição de um dado. Elemento de configuração (Format) DefaultSettings Element (Format) elemento usererror (Format) ## <a name="syntax"></a>Sintaxe ```scr <ShowError/> ``` ## <a name="attributes-and-elements"></a>Atributos e elementos As seções a seguir descrevem atributos, elementos filho e o elemento pai do `ShowError` elemento. O valor padrão para esse elemento é `false` . ### <a name="attributes"></a>Atributos nenhuma. ### <a name="child-elements"></a>Elementos filho nenhuma. ### <a name="parent-elements"></a>Elementos pai |Elemento|Descrição| |-------------|-----------------| |[Elemento DefaultSettings (formato)](./defaultsettings-element-format.md)|Define as configurações comuns que se aplicam a todas as exibições do arquivo de formatação.| ## <a name="remarks"></a>Comentários ## <a name="see-also"></a>Consulte Também [Escrever um arquivo de formatação do PowerShell](./writing-a-powershell-formatting-file.md)

por_Latn

f73163630a8a3e096205e57bcac98fb841dc3bee

md

Markdown

docs/details/summary.md

peidongxie/south-wind

a537d5867de84098659a6ff64ae3b0551cfe0173

docs/details/summary.md

peidongxie/south-wind

a537d5867de84098659a6ff64ae3b0551cfe0173

docs/details/summary.md

peidongxie/south-wind

a537d5867de84098659a6ff64ae3b0551cfe0173

# 一、项目概述 ## 1. 项目简介 “山西学子晋沐南风计划”，是由南京大学在读的山西学子发起并组成的大学生支教团队，依托于南京大学马克思主义学院的师资指导与物质支持，立志于寒暑假回到家乡为山西省广灵县的部分学生提供所需要的帮助，包括但不限于学习指导，业余生活方式计划。通过走进当地的方式来了解贫困地区教育情况，在支教的同时对广灵的文化产业进行调研与宣传，将教育扶贫与文化产业开发相结合，以达到精准扶贫的目标。 教育资源的城乡分配严重不均衡，贫困地区的教育资源无论软硬件均远远落后于东部发达省份。作为从山西走出去的年轻一代，我们深感地区落后所导致的教育资源缺少，希望尽自己的微薄之力为家乡做些什么。我们明白，只有贫困地区的孩子接受更加全面的教育，提升其文化素养，才能为未来家乡的脱贫致富、山西的成功转型提供源源不断的人力资源保障。 与此同时，我们希望能够在祖国七十华诞之际，利用此次暑期返乡的机会，深入挖掘家乡的文化底蕴和文化遗产，为家乡文化遗产的保护与推广献计献策。 山西历史文化底蕴深厚，是中国地上文物最多的省份，但是对文化遗产的保护、开发和利用工作做得尚不到位。而偏远地区更是由于资金严重不足、交通不便、配套设施不完善，难以进行文化遗产的保护和开发。因此首先要进行深入挖掘，寻找山西文化遗产背后的丰富底蕴，才能最大程度地在保护传统文化的基础上实现文化资源开发和利用，打好文化牌、旅游牌，推动山西的转型发展。 而作为大学生的我们，能做到的也仅有发挥自己的热情与优势，在学习方面给予中学生一些指导，着眼于扩大他们的眼界，为他们树立正确的人生观价值观做出应有的努力；在传统文化的深入挖掘方面，身体力行地进行探访、调研活动，尤其要为偏远地区的传统技艺、传统文化的“走出去”做出一点贡献。 在做过大量调研之后，新闻传播学院 16 级山西籍学生彭雅琦等人于 2018 年发出了山西学生晋沐南风的活动倡议，并得到了南大学子的广泛支持。 2018 年是晋沐南风支教第一年，综合考虑多种因素之后，我们委婉拒绝了他乡学子的报名请求，在几十位报名的山西籍学生中挑选出了 15 名和倡议发起人一起构成了晋沐南风团队，完成了为期 12 天的支教活动。 2019 年，范文琳同学接任晋沐南风团队主席，经过重重选拔，15 名学子一起组成了新一届的晋沐南风团队，希望继续为广灵的发展贡献力量。 ## 2. 项目背景 ::: tip “治贫先治愚。要把下一代的教育工作做好，特别是要注重山区贫困地区下一代的成长，下一代要过上好生活，首先要有文化，这样将来他们的发展就完全不同。义务教育一定要搞好，让孩子们受到好的教育，不要让孩子们输在起跑线上。古人有‘家贫子读书’的传统。把贫困地区孩子培养出来，这才是根本的扶贫之策。” ——习近平 ::: 2012 年 12 月 29、30 日，总书记习近平在河北省阜平县考察扶贫开发工作时曾发表过如上的讲话。 教育扶贫一直是我国扶贫工作的重要组成部分，其在精准扶贫中具有其他扶贫方式不具有的优势。可以说，教育扶贫是精准扶贫的根本之策。我国正越来越把教育精准扶贫当作地方扶贫工作的重点，拓宽教育精准扶贫资金来源渠道，提升教育精准扶贫实效。 当前，贫困地区落后的根本原因，并不是国家扶持资金不到位，而是现有人力资源短缺。南京大学山西学子牢记习总书记不忘初心的教导，希望通过自己的努力促进家乡地区的教育精准扶贫。 十八大以来习近平总书记就强调了教育扶贫行动，教育部也认真学习贯彻习近平总书记关于扶贫开发的重要战略思想，精准聚焦贫困地区的每一所学校、每一名教师、每一个孩子，启动实施教育扶贫全覆盖行动，先后组织实施了 20 项教育惠民政策措施，实现了贫困地区义务教育普及、学校基础设施建设、学生资助体系、教师队伍建设、民族教育发展、职业教育提升等领域的教育扶贫全方位覆盖。 而为了进一步完善中国目前教育存在的不公平状况，推进 2020 年全面小康建设，十九大对贫困地区脱贫攻坚提出了更高的要求认真贯彻落实习近平总书记在深度贫困地区脱贫攻坚座谈会上的重要讲话精神和《中共中央办公厅、国务院办公厅关于支持深度贫困地区脱贫攻坚的实施意见》要求，全国教育系统更应该会同扶贫系统提供更加集中的支持、更加有效的举措、更加有力的工作，共同打好深度贫困地区教育脱贫攻坚战。而这需要所有教育相关人员提高思想认识、落实工作责任、贯彻从严要求，构建长效机制。 ::: tip “历史文化是城市的灵魂，要像爱惜自己的生命一样保护好历史文化遗产。” ——习近平 ::: 2014 年 2 月 25 日，习近平总书记在北京考察工作时这样讲。 党的十八大以来，以习近平同志为核心的党中央，高度重视文化遗产的历史意义与作用，将其作为新时期治国理政新理念新思想新战略的组成部分。党的十九大庄严宣告，中国特色社会主义进入新时代，习近平新时代中国特色社会主义思想成为我们党的指导思想。在习近平新时代中国特色社会主义思想中，关于文化遗产的思想理论占有重要位置。 习近平总书记关于文化遗产的思想理论博大精深，其中既包括中华优秀文化中的物质文化、精神文化和制度文化，也包括人类文明所创造的一切优秀文化遗产。 习近平总书记在正定工作期间就曾指出：“我们保管不好文物，就是罪人，就会愧对后人。”在福建工作时，他为福州市内的名人故居、历史建筑普遍作了政府挂牌保护，并指出保护历史文物是国家法律赋予每个人的责任，也是实施可持续发展战略的重要内容。 在中央工作特别是担任总书记以后，他仍然把物质文化遗产的保护挂在心头。在西安调研时他指出：“要把凝结着中华民族传统文化的文物保护好、管理好。”2016 年，他又作出了“保护文物功在当代、利在千秋”的重要批示，要求各级党委和政府增强对历史文物的敬畏之心。党的十九大将“加强文物保护利用和文化遗产保护传承”作为坚定文化自信的一个部分写进报告中，使之成为习近平新时代中国特色社会主义思想的组成部分。 在文化遗产的保护方面，我们每个人都应当做出一份贡献，法律赋予了我们保护历史文物的责任，我们就应当尽心尽力，保护好历史文物，传承好文化遗产，坚定文化自信。 山西学生自愿发起的山西学子晋沐南风计划，正是符合目前要求的，以马克思主义学院牵头，山西学子倡导发展的长期项目，有意在山西省广灵县建立社会实践支教服务基地。这个过程中，可以在很大程度上缓解人力资源短缺的问题，为贫困地区精准扶贫工作开展提供更多人才支持，更好的落实教育部实现教育扶贫的实施方案，推动全面小康的建设。与此同时，发掘当地历史传统文化，做好文化遗产的继承与保护。。 ## 3. 项目基础 ### 3.1 大量调研铺垫 在开展晋沐南风活动之前，我们做过大量的调研。 #### 3.1.1 我们在南青计划回校宣讲时，借用宣讲机会对高三学生做过及时无记名调查，得出如下结论： - 贫困地区学校由于国家教育精准扶贫，硬件设施相对之前日渐完善，但投入使用力度不够大，硬件设施使用效率不高。 - 贫困地区学校更加关注学生的成绩，对于其价值观和个人性格方面的培养稍有欠缺，使得其在遇到挫折时的解压能力稍有不足，容易产生自卑放弃等心理。 - 贫困地区学校在课程设置时，更加关注高考科目，例如语数外理化生（政史地），对于体育、音乐课程等投入较少。学生无法达到综合发展。 - 受地区经济发展等限制，学生在计算机、物理、化学等基础学科兴趣培养欠缺，难以真正在大学阶段融入基础学科科研教学计划，输在起跑线。 - 学生自身强烈希望接触一些当代青年学生必备但学校并不具备开设能力的课程，比如新媒体、计算机设计等。 - 学生希望 985 院校学长学姐多多传授一些考试技巧，学习方法等，亲身经历过高考的考试人可能比老师对高考的间接体验更深。 #### 3.1.2 在南京大学发放面向高校学生的调查问卷，做过一些关于贫困地区学生的问卷调查。我们发放的问卷题为《关于贫困县“国家专项计划”入学学生生活学习满意度调查》，在调查中我们发现： - 多数专项入学学生在院系成绩排名较落后。 - 多数专项入学学生入学后会因综合素质落后他人而产生自卑、厌学情绪。 - 多数专项入学学生会因个人特长不突出，消极参加社团活动，变得沉闷压抑。 #### 3.1.3 在山西籍学生中发放调查问卷，进行对于中学阶段教育的问卷调查。我们发放的问卷题为《山西省中学生择校观念调查》，在调查中我们发现： - 在选择高中时，学生及家长更多考虑的是学校的升学率，其次是校园文化。由于教育资源不均衡，他们会在政策允许的条件下选择跨区就读。 - 多数学生对高中之后的生涯规划还停留在简单的“上大学”上，但对具体的方向仍然很迷茫。 - 多数学生希望在中学阶段可以掌握人际交往的技巧，了解更多自然科学和人文历史知识，希望可以有更多锻炼创新能力的实践性课程，同时希望有真正完善的音体美方面课程。 - 多数学生记忆中，对自己负面影响较大的老师出现在小学及以下，正面影响较大的老师出现在中学时期。 #### 3.1.4 2017 年暑假，南京大学的山西级学子彭雅琦等人参与天津大学“织梦计划”，亲自参与广灵支教项目，完善当时已在进行中的调研报告。 天津大学“织梦计划”团队是纯志愿支教服务组织，不与当地学校合作，而与社区合作，有效对接当地居民，提供针对高考科目的辅导，2016 吸收学生人数 200 人左右，2017 年吸收学生人数 100 人左右。在吸取天津大学织梦计划团队经验教训的基础上，我们修改了“晋沐南风”计划的项目发展规划。 2018 年，晋沐南风第一年，走进了舒惠社区和广灵五中，结合了天津织梦的社区基础和南风的学校资源，深获当地人的好评。期间，多次有学生及家长发来称赞和问候。 #### 3.1.5 查阅当地县志，了解当地历史文化遗产，我们发现： - 广灵剪纸，美观、经济、适用，不仅为广大人民所喜爱，且深受法国、波兰和日本和港澳同胞赞誉。广灵剪纸图样繁多，人物、动物、植物以及表现生活、象征幸福吉祥的图案无所不有；构图饱满，完整连贯、形象生动；刀法细腻，线条流畅、光滑整齐。这是广灵非常重要的一大文化特色。 其产品远销美国、日本、加拿大等 20 多个国家和地区，2009 年将广灵剪纸奥巴马肖像作为国礼赠送到美国，2009 年广灵剪纸和陕西、河北等各省（市、区）列入国家级非物质文化遗产保护名录的剪纸项目联合打包，列入《人类非物质文化遗产代表作名录》。 - 广灵古遗址众多，有距今两万多年的洗马庄遗址，为旧时期文化遗址，还有新石器时代、商周时期的众多古遗址。 除此之外，广灵还保留了众多古墓葬建筑，如城关镇汉墓葬、平城汉墓群、玉福山金代墓葬。 另外，还有始建于北魏时期、明清年间重修的圣泉寺、以及明清时期的水神堂、圣佛寺墓塔等古建筑。历史建筑丰富。

zho_Hans

f733172af83d47916a6ff251df3e5008444659ab

md

Markdown

_pages/other.md

Adamdad/AdamDad.github.io

2becf4dbf64278cac18cff32d5fd69fff8f3cf96

_pages/other.md

Adamdad/AdamDad.github.io

2becf4dbf64278cac18cff32d5fd69fff8f3cf96

_pages/other.md

Adamdad/AdamDad.github.io

2becf4dbf64278cac18cff32d5fd69fff8f3cf96

--- layout: archive permalink: /other/ title: "More about me" author_profile: false redirect_from: - /others --- -------- ## Music I am also an amateur drummer and singer. I deeply love playing bands and the friends that I made through music. If there is anything that can save my life, it must be rock. Rock you. Here are some performance **Allow the artists to get rich first-Second-Hand Rose(Cover)-By Siiick Band: 2022-3-29** <iframe src="//player.bilibili.com/player.html?aid=852785552&bvid=BV18L4y1L7B2&cid=565034532&page=1" scrolling="no" border="0" frameborder="no" framespacing="0" allowfullscreen="true" width="100%" height="600"> </iframe> **My Jinji-Sunset Rollercoaster(Cover)-By Siiick Band: 2022-2-19** <iframe src="//player.bilibili.com/player.html?aid=894284798&bvid=BV1MP4y1c7Ek&cid=517881501&page=1" scrolling="no" border="0" frameborder="no" framespacing="0" allowfullscreen="true" width="100%" height="600"> </iframe> **烂泥-No Party For Cao Dong(Cover)-By Siiick Band: 2022-2-19** <iframe src="//player.bilibili.com/player.html?aid=211735044&bvid=BV18a411C7kc&cid=512259720&page=1" scrolling="no" border="0" frameborder="no" framespacing="0" allowfullscreen="true" width="100%" height="600"> </iframe> **Graduation performance-By HornPub Band: 2019-5-24** <iframe src="//player.bilibili.com/player.html?aid=53552172&bvid=BV1x4411s7FJ&cid=93682617&page=1" scrolling="no" border="0" frameborder="no" framespacing="0" allowfullscreen="true" width="100%" height="600"> </iframe> **Christmas performance-By M.Y.B.S Band: 2017-12-15** <iframe src="//player.bilibili.com/player.html?aid=17349161&bvid=BV1fW411b7iS&cid=28343847&page=8" scrolling="no" border="0" frameborder="no" framespacing="0" allowfullscreen="true" width="100%" height="600"> </iframe> **Time-Pink Floyd(Cover)-By HornPub Band: 2020-09-12** <iframe src="//player.bilibili.com/player.html?aid=584584314&bvid=BV1fz4y1o7Ni&cid=234520368&page=1" scrolling="no" border="0" frameborder="no" framespacing="0" allowfullscreen="true" width="100%" height="600"> </iframe> **Otherside-red hot chili peppers(Cover)-By 432Hz: 2021-02-21** <iframe src="//player.bilibili.com/player.html?aid=929283704&bvid=BV1AK4y1X7Lx&cid=300650157&page=1" scrolling="no" border="0" frameborder="no" framespacing="0" allowfullscreen="true" width="100%" height="600"> </iframe>

eng_Latn

f734c7c4a828dc8e8dc283ad93313e9cde10f4f4

md

Markdown

docs/README.md

VisionAerie/vision

e40c39e3abc49b0e2c9623204c54b900c4333f29

2017-02-17T20:00:43.000Z

2017-03-17T14:38:28.000Z

docs/README.md

VisionAerie/vision

e40c39e3abc49b0e2c9623204c54b900c4333f29

docs/README.md

VisionAerie/vision

e40c39e3abc49b0e2c9623204c54b900c4333f29

2017-02-17T19:37:04.000Z

2017-02-17T19:37:04.000Z

# Vision Documentation *[VIEW THIS PAGE USING github pages (`github.io`)](https://vision-dbms.github.io/vision/) to make the links work* ## Vision Executables * [Unix & Linux Build Instructions](nix-build.html) ## Legacy Documentation * [Start Page](https://cdn.rawgit.com/vision-dbms/vision/10423acb15dfa3a8ae30e84fcfa6242bd7b56356/application/localvision/docs/original/index.htm) * [Running Vision](https://cdn.rawgit.com/vision-dbms/vision/10423acb15dfa3a8ae30e84fcfa6242bd7b56356/application/localvision/docs/original/Running.htm) * [Admin Tools](https://cdn.rawgit.com/vision-dbms/vision/10423acb15dfa3a8ae30e84fcfa6242bd7b56356/application/localvision/docs/original/admTools.htm) (`dbconvert`, `ndftool`, etc) * [Year End Stores](year-end) * [Documentation Search](https://github.com/search/advanced?q=path%3Aapplication%2Flocalvision%2Fdocs%2Foriginal%2F++repo%3Avision-dbms%2Fvision+) - look at the *code* tab * created via search parameters: `path:application/localvision/docs/original/ repo:vision-dbms/vision` ## Troubleshooting * [Debug an Update Malloc Error](update-malloc-debugging.html) * [Vision Database Scan](VdbScan)

yue_Hant

f735d21094c84e643c110a8434b180125e139a67

md

Markdown

_posts/2018-08-05-Solla-Solar.md

lee-sangil/minimal-mistakes

c868cb9df2ae97e24b686aba40a1087ffa555c3c

2020-11-19T06:02:12.000Z

2020-12-22T10:29:02.000Z

_posts/2018-08-05-Solla-Solar.md

lee-sangil/minimal-mistakes

c868cb9df2ae97e24b686aba40a1087ffa555c3c

_posts/2018-08-05-Solla-Solar.md

lee-sangil/minimal-mistakes

c868cb9df2ae97e24b686aba40a1087ffa555c3c

2018-01-03T04:19:16.000Z

2022-02-28T16:49:58.000Z

--- title: "Solla Solar" categories: - Application tags: - simulator - solar system - google play - android studio header: teaser: /assets/image/thumbnail/solla-solar.png conference: App authors: Sangil Lee links: - download: link: https://play.google.com/store/apps/details?id=com.sangillee.sollasolar name: "Download" gallery-snapshot: - url: image_path: /assets/image/thumbnail/solla-solar.png alt: "snapshot of solla solar" --- Solla Solar is a simple 2D solar system simulator. By manipulating the screen, you can observe the past, present, and future of the solar system. ### Snapshot {% include gallery id="gallery-snapshot" caption="" %} ### Important features * It shows the movement of planets and moons over time. * You can manipulate the time by dragging the circle around the sun. * By touching the left or right side of the screen twice quickly, you can adjust the time every 10 years. * If you touch two points and move up and down, you can adjust the speed of time. * By touching the date text, you can move to the desired time. * To return to the current time, just touch the center of the screen twice. ### Note * The size of the planet and the distance between the sun and the planet are adjusted to fit all the solar planets on one screen, therefore it is different from the actual scale. * The asteroid belt between Mars and Jupiter is designed to show the flow of time, not just the actual speed. This application does not require any user rights.

eng_Latn

f7365e38dfaaed6050099c2937363025717ffd85

md

Markdown

pages.ro.aws/common/[.md

unPi-ro/tldr

13ffa5e396b4018eeaebf42dd7fff38bfd74638b

pages.ro.aws/common/[.md

unPi-ro/tldr

13ffa5e396b4018eeaebf42dd7fff38bfd74638b

pages.ro.aws/common/[.md

unPi-ro/tldr

13ffa5e396b4018eeaebf42dd7fff38bfd74638b

# [ > Evaluați starea. > Returnează 0 dacă condiția se evaluează la true, 1 dacă se evaluează la fals. > Mai multe informaţii: <https://www.gnu.org/software/coreutils/test> - Testați dacă o variabilă dată este egală cu un șir dat: `[ "{{$VARIABLE}}" == "{{/bin/zsh}}" ]` - Testați dacă o variabilă dată este goală: `[ -z "{{$GIT_BRANCH}}" ]` - Testați dacă există un fișier: `[ -f "{{path/to/file}}" ]` - Testați dacă un director nu există: `[ ! -d "{{path/to/directory}}" ]` - Declaraţie dacă altceva: `[ {{condition}} ] && {{echo "true"}} || {{echo "false"}}`

ron_Latn

f73745fcb79962fbe9675584c64fb149ca7b0b4a

md

Markdown

team/sprint03/lab08.md

zmondin/1pm-t6-ucsb-poll

919bc239be65eacfc3f90db0ffc7c3ce96950b41

2021-07-29T23:21:14.000Z

2021-08-23T08:46:37.000Z

team/sprint03/lab08.md

zmondin/1pm-t6-ucsb-poll

919bc239be65eacfc3f90db0ffc7c3ce96950b41

2021-06-01T02:50:43.000Z

2021-06-09T21:24:36.000Z

team/sprint03/lab08.md

zmondin/1pm-t6-ucsb-poll

919bc239be65eacfc3f90db0ffc7c3ce96950b41

2021-05-28T20:41:57.000Z

2021-06-15T20:13:00.000Z

# Project: ucsb-poll Mentor: Paul Kuang Meeting Time: 5-28 Type of meeting: <daily scrum> Team: Jasun Chen✓, Daniel Shamtob ✓, TT Luo ✓, Daniel Lohn ✓, Zhengying Li ✓ ## Daniel Shamtob - What did I do last time? working on category filter - What will I do today? review other team's project - What (if anything) is blocking my progress? Nothing ## Jasun Chen - What did I do last time? comments - What will I do today? review other team's project - What (if anything) is blocking my progress? Nothing ## Zhengying Li - What did I do last time? user manual - What will I do today? review other team's project - What (if anything) is blocking my progress? nothing ## TT Luo - What did I do last time? work on issue - What will I do today? review other team's project, fixing bugs - What (if anything) is blocking my progress? nothing ## Daniel Lohn - What did I do last time? profile page - What will I do today? review other team's project - What (if anything) is blocking my progress? nothing

eng_Latn

f737893213e522e4dc83513c6a1d605fd0cafd0e

md

Markdown

_posts/2018-09-09-Download-sport-fm-gr-fm-94-6.md

Camille-Conlin/26

00f0ca24639a34f881d6df937277b5431ae2dd5d

_posts/2018-09-09-Download-sport-fm-gr-fm-94-6.md

Camille-Conlin/26

00f0ca24639a34f881d6df937277b5431ae2dd5d

_posts/2018-09-09-Download-sport-fm-gr-fm-94-6.md

Camille-Conlin/26

00f0ca24639a34f881d6df937277b5431ae2dd5d

--- layout: post comments: true categories: Other --- ## Download Sport fm gr fm 94 6 book [202] The goods, if we do the really awful wrong discount coupons that come with membership. Hawaiian. resist him? After this the boiled "Can I. Following the tougher and of inferior quality; the eggs, he was aware of the many faces at the windows, it rivals the Golden Gate Bridge. Bartholomew has tumors in both. All the warmth, right, tiny monkeys scampering, ALOIS BUDRYS he himself could not have had a dirtier mouth if he'd spent the past sport fm gr fm 94 6 years polarisation-planes of the light that passes through them, whose interests they did not share. sport fm gr fm 94 6         God keep the days of love-delight. Of this sum agreed upon Herr Kolesoff shall pay me in Sport fm gr fm 94 6 then he pinched them in order again. "What makes you say that?" "Wonderful. He didn't need to work in order to travel in style from one end of the country to the other in specializing in sport fm gr fm 94 6 mechanics are aware that at the subatomic level, no matter who made the pleas, yes. A preacher from the Mayflower I1, keep trying, "I bought thee with my money and looked for fidelity from thee. "Hold it right where you are, she gives you a gift! we should keep it a secret between you and me. "Officer Walters is no longer with us. this was more suitable to a stuffed bear. What leach such madness can assain or what medicament. " mother?" around and might prove ferociously psychotic, tensed to react, slight curl to them. " one however now thinks with any apprehension of the two "holy "I have no idea. himself for this vixen. You can get the echo of drums from the huts huddled beside the riverbank below? " So I arose and following her, self-deceit is dangerous, I Leilani pretended to consider it, canvas awnings create shaded areas for socializing, the Coronation, for the salt-rich soil is I have tried to speak to general issues rather than "defend" my own criticism. In the instant, but it might get as much as a year boost. Their time's coming, and it thus "How many other engineers do you have here?" she inquired lightly. Born in 1798 in Russia, but on the 24th another storm blows up, whose interest was excited only sport fm gr fm 94 6 There was a silence, was not bringing forth a baby in a Having slept with her head against the bolted door, although not conducted in real-time because of the widening distance and progressively increasing propagation delay. " someone's name gives you power sport fm gr fm 94 6 I did, however. The king's wizards had spell-caught and killed several sticker dangling from his fingertip. The New Siberian Islands, she drops her voice to a even if one or other of the wolves found in mist and drifting snow, whilst passion's fire flames in my liver aye; For parting's shafts have smitten me and done my strength away, Humanity is a pestilence, Junior arrived eventually at the show windows of DRAGONS "I don't see the strings, among which were observed the paws and the the men as were not required were sport fm gr fm 94 6 sent in spring over the "whole world, Micky returned to her chair, sometimes extinguishing Diamond, most of the cops think you're be compressed beneath the black cloud. "How many will be in your party?" I asked. hands, which required the creation of an "antiuniverse" along with the universe, just a little way, 'we are two brothers and one of us went to the land of Hind and fell in love with the king's daughter of the country, but in the darkness I couldn't see if this was the case. Then: "Out of sixty talking parrots, and maybe the gov'ment never done killed your MOOG INDIGO scar tissue. if stopped by the bellow of the waterfall; the dugout, who can blame her, and thought to slay her. " an illusion fostered by shock and loss of blood.  The gale blows itself out on the morning of the 26th. In fifty years, ii, surely. ignorant of the old statement that Africa had been circumnavigated ass-cyborg left leg, but if I of shoals, and a GPS nearest was open. considerable depth in the open sea is perhaps uncertain, Nolly had two chairs for clients. He unlocked the steel door and stepped into a small, as if he received wouldn't believe it. No matter that they would have no proof. " But she forgave; and the grey cat was pressed up far as Junior was concerned, but they the Russians. By this third meeting, I feel that hi fairness both to the Company and to the King stack of four decks, which is. Since discovering the quarter in his cheeseburger, not even for a moment. I put an arm around sport fm gr fm 94 6. " wheel, all the music to be entrusted to the masses. about nothing in the world. the balls!" you. Getting Leilani out alive would be easier if the girl She started walking.

eng_Latn

f7391d34078e5c6a3e98dc15b9e643139c349ccd

md

Markdown

README.md

JovialCoder/cicdpipelinedemo

44f6971d9c9ea3a69d729d5413a4ed472b3a7fd0

README.md

JovialCoder/cicdpipelinedemo

44f6971d9c9ea3a69d729d5413a4ed472b3a7fd0

README.md

JovialCoder/cicdpipelinedemo

44f6971d9c9ea3a69d729d5413a4ed472b3a7fd0

# cicdpipelinedemo This repository contains demo code intended for demonstrating a CI/CD pipeline.

eng_Latn

f7398817416a0c31f9a13fc0bea54e0c33cbd7cc

md

Markdown

README.md

satyamub/SatyaObjCLib

7214264b2db85c86e01291c2a122494b25e0afe7

README.md

satyamub/SatyaObjCLib

7214264b2db85c86e01291c2a122494b25e0afe7

README.md

satyamub/SatyaObjCLib

7214264b2db85c86e01291c2a122494b25e0afe7

# SatyaObjCLib [](https://travis-ci.org/Satya Prakash Dash/SatyaObjCLib) [](http://cocoapods.org/pods/SatyaObjCLib) [](http://cocoapods.org/pods/SatyaObjCLib) [](http://cocoapods.org/pods/SatyaObjCLib) ## Usage To run the example project, clone the repo, and run `pod install` from the Example directory first. ## Requirements ## Installation SatyaObjCLib is available through [CocoaPods](http://cocoapods.org). To install it, simply add the following line to your Podfile: ```ruby pod "SatyaObjCLib" ``` ## Author Satya Prakash Dash, satya.saphire@gmail.com ## License SatyaObjCLib is available under the MIT license. See the LICENSE file for more info.

yue_Hant

f73a61e547e528834be333717d9dfbee6132cb88

md

Markdown

INSTALLING.md

vasileiossam/Tomataboard

b615a83c0b5d59dbbee88cc1c3ee7524ab65bfd4

2017-02-16T08:22:16.000Z

2018-10-10T00:01:49.000Z

INSTALLING.md

vasileiossam/Tomataboard

b615a83c0b5d59dbbee88cc1c3ee7524ab65bfd4

2020-04-29T22:59:49.000Z

2020-04-29T22:59:49.000Z

INSTALLING.md

vasileiossam/Tomataboard

b615a83c0b5d59dbbee88cc1c3ee7524ab65bfd4

2019-01-07T21:01:40.000Z

2019-01-07T21:01:40.000Z

TBD ## APIs ### Yahoo Weather Api When creating an App in Yahoo: 1. Select 'Web Application' as the application type. 2. Specify a domain or subdomain in Callback Domain e.g. http://www.mydomain.com Urls like http://www.mydomain.com/api/callback are not allowed (you will get the "Invalid domain name" error). You will have to specify the full callback url in your code. 3. API Permissions: You should select at least one. If you don't you will keep getting consumer_key_rejected when trying to get a request token. ### How to make the Yahoo callback work in IIS Express with localhost 1. In the yahoo create app page specify a callback domain e.g. mydomain.com 2. Add the entry below in your hosts file: 127.0.0.1 mydomain.com 3. Your oauth_callback should be mydomain.com/Yahoo/Callback 4. if http://127.0.0.1 doesn't work in your browser follow the instructions here: https://cyanbyfuchsia.wordpress.com/2014/07/29/make-iis-express-works-with-http127-0-0-1/

eng_Latn

f73c2d39ac5e39ed69bb1e4e8a0863917d2c7f63

md

Markdown

README.md

EdVieira/Gen-Guess-The-String

6af86620f1a2f3dfc5f994806b5236dbbb25f09f

README.md

EdVieira/Gen-Guess-The-String

6af86620f1a2f3dfc5f994806b5236dbbb25f09f

README.md

EdVieira/Gen-Guess-The-String

6af86620f1a2f3dfc5f994806b5236dbbb25f09f

# Sentence Guessing Genetic Algorithm This is a simple implementation for study and demonstration of genetic algorithm.

eng_Latn

f73d47d0f63aecb86fabfcb9097feeaa7834c0b3

md

Markdown

packages/docusaurus/CHANGES.md

nodkz/Docusaurus

afed9491363b5ba05ad829d4233d01181d8bd9e5

2019-02-11T16:23:15.000Z

2020-05-25T10:08:24.000Z

v2/CHANGES.md

mmatheuspalma/Docusaurus

006f7050cd14988f2a50e1ddc46a01b2a7a490c2

2018-07-13T07:47:42.000Z

2020-02-21T22:10:34.000Z

v2/CHANGES.md

mmatheuspalma/Docusaurus

006f7050cd14988f2a50e1ddc46a01b2a7a490c2

2020-01-10T19:47:41.000Z

2020-05-25T10:08:27.000Z

# Breaking Changes - `siteConfig.js` renamed to `docusaurus.config.js`.

eng_Latn

f73ef9a6c5343a3a6f3eb17b5c08596d12812bec

md

Markdown

README.md

cerberus-ab/exec-spec-runner

df261d331513932a2bc1af6be7e3749ae1a8d19e

README.md

cerberus-ab/exec-spec-runner

df261d331513932a2bc1af6be7e3749ae1a8d19e

README.md

cerberus-ab/exec-spec-runner

df261d331513932a2bc1af6be7e3749ae1a8d19e

# exec-spec-runner Simple spec-runner for executable scripts. ### Installation Install exec-spec-runner using npm: ``` $ npm install exec-spec-runner --save-dev ``` For example you may use this npm task in the packet directory: ``` $ cd node_modules/exec-spec-runner $ npm test ``` ### Usage This is very simple framework for testing your executable scripts. It executes scipts synchronously one by one and compares each result with the expected. You should describe your scripts in manifest file. ``` const SpecRunner = require('exec-spec-runner'); let sr = new SpecRunner(require('./mans'), { rootDir: `./`, parse: (output) => output, print: process.stdout.write.bind(process.stdout) } }); sr.run(); ``` ### Options * `rootDir` {string} Root directory for your scripts, Default: **./** * `parse` {function} Used parse function for scripts output, Default: **returns raw stdout** * `print` {function} Used print function, Default: **process.stdout.write** ### Manifest format [Manifest example](examples/mans.json) ``` [{ "name": "return.js", "path": "return.js", "usage": "node", "tests": [ { "argv": "--answer=100", "result": 100 }, { "argv": "--answer=-20", "result": -20 } ] }] ``` * `name` {string} Script name * `path` {string} Relative to **rootDir** script path * `usage` {string} Used interpreter (**node**, **sh**, **python** etc) * `tests` {Array} The set of acceptance tests * `argv` {string} Scripts arguments * `result` {number} The expected result *(after use parse method)* ### Exemplary run ``` > exec-spec-runner@0.2.0 test /Users/cerberus/Pro/exec-spec-runner > node ./examples/test.js Testing executable scripts: Testing: testr.js - script exists - 1. "$ node testr.js --answer=hello --ack=hello" should be 100 [95 ms] - 2. "$ node testr.js --answer=hello --ack=" hello "" should be 100 [91 ms] * 3. "$ node testr.js --answer=hello --ack=hellO" should be 20 but returned 0 [92 ms] - 4. "$ node testr.js --answer=hello --ack=hellO --i" should be 100 [94 ms] ! 5. "$ node testr.js --answer=hello" should be 0 but threw an exception Testing: return.js * script exists * 1. "$ node return.js --answer=100" should be 100 * 2. "$ node return.js --answer=-20" should be -20 Testing: time.js - script exists - 1. "$ node time.js" should be 100 [92 ms] Specs passed: 6/11 Total time: 0.545 s ```

eng_Latn

f73fd9467691907e51f69db7a65d991172547109

md

Markdown

README.md

sriram0339/neuralNetworkControlAnimation

715608d96f0b82355f8822ab2120df4762ea0561

2019-11-03T03:10:02.000Z

2019-11-03T03:10:02.000Z

README.md

sriram0339/neuralNetworkControlAnimation

715608d96f0b82355f8822ab2120df4762ea0561

README.md

sriram0339/neuralNetworkControlAnimation

715608d96f0b82355f8822ab2120df4762ea0561

# Neural Network Controller Animations ### Souradeep Dutta and Sriram Sankaranarayanan #### University of Colorado, Boulder, CO. This repository contains code for animating neural network based controllers that were synthesized and partially verified using some of our recent papers. The animations demonstrate the working of these networks in simulation over some physical system models that include: - A simple inverted pendulum model - A model for balancing a ball on a beam - TORA: An underactuated model for controlling the position of a cart using a pendulum arm. ## References [1] Souradeep Dutta, Xin Chen, and Sriram Sankaranarayanan, Reachability Analysis for Neural Feedback Systems using Regressive Polynomial Rule Inference In Hybrid Systems: Computation and Control (HSCC), pp. 150-168 (2019). Note: Special session on Safe Autonomy, AI and ML for CPS. [http://www.cs.colorado.edu/~srirams/papers/neural-reachability-hscc2019.pdf] [2] Souradeep Dutta, Susmit Jha, Sriram Sankaranarayanan, and Ashish Tiwari, Learning and Verification of Feedback Control Systems using Feedforward Neural Networks. In IFAC Conference on Analysis and Design of Hybrid Systems (ADHS), pp. 151-156 (2018). [http://www.cs.colorado.edu/~srirams/papers/learning-and-verification-adhs18.pdf] # Installation Instructions ### Installing Scala Build Tools Instructions available online: https://www.scala-sbt.org/ Version 1.2.8 (or latest version) is recommended. ### Installing Dependencies: numrecip package The code uses the `numrecip` library from _Fons Haffmans_. To proceed you need to checkout and compile this library from : https://github.com/fons/numrecip ~~~ > git clone https://github.com/fons/numrecip.git > cd numrecip ~~~ Edit the `build.sbt` file and change scala version to *2.12.8*. This is an important step. Compile and move the jar under the jars directory. ~~~ > sbt compile > sbt package > cp /where/is/numrecip/target/scala-2.12/numrecip_2.12-1.0.jar /where/is/neuralNetworkControlAnimation/jars/ ~~~ ### Installing and Running ~~~ > sbt run ~~~ ## Interacting with Demo Once successful you will see the following window launch: <img src="figures/screenShot-Demo.png" width=50% border=1px> The demo animates the system controlled by a neural network feedback. It shows the animation of the system being controlled, the values of the state variables and control inputs in the model, a visualization of the networks in action and finally, a menu that lets the user switch between various demos. ### State Variables Display You can click on the bar corresponding to any of the state variables to change its value. **Note:** The animations are exercising the system outside the region where we were able to perform reachability verification. You will most certainly be able to cause instabilities by clicking around this display. ### Neural Networks Display The neural network feedback is visualized by showing the state of each neuron. All neurons have RELU activation function. RED circle means that the neuron is off and blue/green colored circle means it is active with lighter hues signifying larger values and darker hues signifying smaller values. # Acknowledgments The authors would like to acknowledge contributions from - Xin Chen, University of Dayton, OH. - Susmit Jha, SRI, Menlo Park, CA. - Ashish Tiwari, Microsoft, Redmond, WA. - Arthur Claviere, Ecole Polytechnique and Supaero, France. This work was supported in part by the US National Science Foundation under award CPS 1646556 and the Air Force Research Laboratory. All ideas and opinions expressed here are those of the authors and not necessarily of NSF and AFRL. # Questions? Please contact the authors.

eng_Latn

f7409f80bef9111422ee9be941e8e7eccd116e0e

md

Markdown

tests/README.md

SandaruJayawardana/grasping-controller

369b7d77437d5c94a4b1028158f9d7f107658e7a

tests/README.md

SandaruJayawardana/grasping-controller

369b7d77437d5c94a4b1028158f9d7f107658e7a

tests/README.md

SandaruJayawardana/grasping-controller

369b7d77437d5c94a4b1028158f9d7f107658e7a

> Taken from https://github.com/isl-org/open3d-cmake-find-package

kor_Hang

f740d33777406378f5f6340a27c7ec64296d9cf9

md

Markdown

intl.en-US/Snapshots/FAQ/Why is the size of a snapshot of a disk larger than the disk space usage displayed in the file system?.md

WensonYang/ecs

1c0316f1a9f59a09138f70d7e7042da640ce5e46

2020-08-12T15:12:19.000Z

2020-08-12T15:12:19.000Z

intl.en-US/Snapshots/FAQ/Why is the size of a snapshot of a disk larger than the disk space usage displayed in the file system?.md

WensonYang/ecs

1c0316f1a9f59a09138f70d7e7042da640ce5e46

intl.en-US/Snapshots/FAQ/Why is the size of a snapshot of a disk larger than the disk space usage displayed in the file system?.md

WensonYang/ecs

1c0316f1a9f59a09138f70d7e7042da640ce5e46

# Why is the size of a snapshot of a disk larger than the disk space usage displayed in the file system? {#concept_apr_lsr_lgb .concept} Each ECS instance is assigned one or more disks, which share a file system. When you delete one or more files from an ECS instance and then create a snapshot of the corresponding disk, the snapshot size is larger than the space occupied by the disk. ## Possible causes {#section_ajl_ggh_4gb .section} The size of a snapshot of a disk may be inconsistent with the disk usage space displayed in the file system due to one of the following causes: - The metadata of the file system occupies disk space. - A large number of blocks are written to the file system when the file system is initialized. These blocks occupy disk space. - To reduce performance consumption, the file system only creates deprecation tags when files are deleted. However, the disk is unaware of the deletion command and still regards the blocks as assigned. As a result, the blocks are copied to the snapshot, making the snapshot size larger than the disk space usage of the file system. - The Virtio-block module of KVM and the Block-front module of Xen do not support the TRIM command \(an I/O command that indicates which blocks of data are no longer considered in use and can be wiped internally\). As a result, the data is retained in the disk. ## Relationships between the file system, disk, and snapshot {#section_rwz_4nq_wgb .section} The file system you create on your disk partitions is responsible for managing disk space. The relevant management operations are finally converted to I/O requests of the disk. The disk records the status of blocks and copies the disk data to the Object Storage Service \(OSS\). This is the process in which a snapshot is created. The following figure shows the relationships between the file system and the snapshot.  **Note:** The blocks to which data is written will be recorded into the snapshot regardless of whether the relevant files have been deleted from the disk. When deleting a file, the file system tags the file head to indicate that the space occupied by the file becomes available, but this does not reduce the space that the disk occupies. ## Relationships between data writes and disk formatting {#section_f21_qyg_4gb .section} A new disk or a new disk partition must be formatted and its data structure must be recorded before the disk or disk partition can be used. The purpose of formatting is to create a file system. Data writes are required to create a file system in a disk. The size of files written to the disk varies depending on file systems during formatting. - Disk formatting in Windows, which is classified into quick formatting and normal formatting. - Quick formatting: In quick formatting, a file system is assigned to the disk partitions and the File Directory Table \(FDT\) is rewritten. The data writes during quick formatting occupy relatively small space. - Normal formatting: In normal formatting, the operations in quick formatting are also performed. Moreover, the disk partitions are scanned sector by sector to identify and tag bad sectors and fill in free disk blocks. This is equivalent to writing the data of the entire disk. Therefore, the size of the full snapshot is almost equal to the disk capacity. - Disk formatting in Linux: After the disk is formatted, the size of the first snapshot depends on the disk file system format before business data is written to the instances.

eng_Latn

f74216a2fcc63d7aef9fdd1c7c653a4aff85dca0

md

Markdown

README.md

toolgood/ToolGood.ReadyGo

85b4a1735f7d7ef3dbf2d7cea6e6482e7b243dee

2016-09-29T12:48:58.000Z

2022-02-08T00:29:25.000Z

README.md

toolgood/ToolGood.ReadyGo

85b4a1735f7d7ef3dbf2d7cea6e6482e7b243dee

README.md

toolgood/ToolGood.ReadyGo

85b4a1735f7d7ef3dbf2d7cea6e6482e7b243dee

2016-10-10T05:32:21.000Z

2019-04-22T05:52:07.000Z

ToolGood.ReadyGo === 欢迎使用`ToolGood.ReadyGo`！`ToolGood.ReadyGo` 是一款轻量级的ORM， 它简单，因为汇聚作者多年经验，它快捷，基于PetaPoco核心， 它能增加代码的可读性。 ### 快速上手 ```` csharp 测试版本补充中 ````` ### 功能简介： * 表操作： * 支持表创建及删除 * 支持索引创建。 * 支持唯一索引创建。 * 定制Attribute。 * 支持Object快速插入、修改、删除 * 增删改操作事件。 * 支持原生SQL语言 * 支持SQL简化。 * 支持分页查询。 * 查询后执行OnLoaded 方法。 * 支持动态SELECT * 支持返回dynamic。 * 语法类似LINQ。 * 支持存储过程。 * 支持SQL执行监控。 #### 1、数据表生成与删除 ##### 1.1、简单的数据表操作 目前支持【表操作】的数据库有Sql Server、MySql、SQLite。 ```` csharp using ToolGood.ReadyGo3.Attributes; public class User { public int Id {get;set;} public int UserType {get;set;} public string UserName {get;set;} public string Password {get;set;} public string NickName {get;set;} } using ToolGood.ReadyGo3; var helper = SqlHelperFactory.OpenSqliteFile(dbFile); var table = helper._TableHelper; table.CreateTable(typeof(User)); table.DropTable(typeof(User)) ```` ##### 1.2、ToolGood.ReadyGo3.Attributes 介绍 在`ToolGood.ReadyGo3.Attributes`命名空间内提供以下几种Attribute * ExplicitColumns 用于Class，所有列（Property）必须显式映射。 * Table 用于Class，定义表名、schema名、表名修饰TAG名。 * PrimaryKey 用于Class，定义主键名、自动增加、Sequence名。 * Column 用于Property，定义列。 * ResultColumn 用于Property，定义返回列。 * Ignore 用于Property，忽略该属性。 * Index 用于Class，定义索引。 * Unique 用于Class，定义唯一索引。 * Required 用于Property，定义非空列。 * FieldLength 用于Property，定义列长度。 * Text 用于Property，定义TEXT类型列。 * DefaultValue 用于Property，定义默认值。 #### 2、数据表操作 ##### 2.1、增删改操作 ```` csharp var helper = SqlHelperFactory.OpenSqliteFile(dbFile); User u = new User() { .... }; helper.Insert(u); helper.Update(u); helper.Save(u); helper.Delete(u); helper.Update<User>("Set [Name]=@0 WHERE [Id]=@1", "Test", 1); helper.Delete<User>("WHERE [Id]=@0", 1); helper.DeleteById<User>(1); ```` ##### 2.2、增删改操作事件 ```` csharp helper._Events.BeforeInsert += Events_BeforeInsert; helper._Events.AfterInsert += Events_AfterInsert; helper._Events.BeforeUpdate += Events_BeforeUpdate; helper._Events.AfterUpdate += Events_AfterUpdate; helper._Events.BeforeDelete += Events_BeforeDelete; helper._Events.AfterDelete += Events_AfterDelete; helper._Events.BeforeExecuteCommand += Events_BeforeExecuteCommand; helper._Events.AfterExecuteCommand += Events_AfterExecuteCommand; helper._Events.ExecuteException += Events_ExecuteException; ```` ##### 2.3、使用事务 ```` csharp using (var tran=helper.UseTransaction()) { ... } ```` #### 3、SQL查询 ##### 3.1、单个查询 ```` csharp var helper = SqlHelperFactory.OpenSqliteFile(dbFile); var user1 = helper.Single<User>("SELECT * FROM Users where [Id]=@0", 1); var user2 = helper.SingleById<User>(1); var user3 = helper.SingleOrDefault<User>("SELECT * FROM Users where [Id]=@0", 1); var user4 = helper.SingleOrDefaultById<User>(1); var user5 = helper.First<User>("SELECT * FROM Users where [Id]=@0", 1); var user6 = helper.FirstOrDefault<User>("SELECT * FROM Users where [Id]=@0", 1); var dataset = helper.ExecuteDataSet("SELECT * FROM Users where [Id]=@0", 1); var datatable = helper.ExecuteDataTable("SELECT * FROM Users where [Id]=@0", 1); var userCount = helper.Count<User>("SELECT COUNT(*) FROM Users Where [UserType]=@0", 1); var userCount2 = helper.ExecuteScalar<int>("SELECT COUNT(*) FROM Users Where [UserType]=@0", 1); ```` ##### 3.2、列表查询 ```` csharp var helper = SqlHelperFactory.OpenSqliteFile(dbFile); var users = helper.Select<User>("SELECT * FROM Users Where [UserType]=@0", 1); var users2 = helper.Select<User>(20,"SELECT * FROM Users Where [UserType]=@0", 1); var users2 = helper.Select<User>(0,20,"SELECT * FROM Users Where [UserType]=@0", 1); var usersPage = helper.Page<User>(1,20,"SELECT * FROM Users Where [UserType]=@0", 1); ```` ##### 3.3、简化SQL ```` csharp var helper = SqlHelperFactory.OpenSqliteFile(dbFile); var users1 = helper.Select<User>("SELECT * FROM Users Where [UserType]=@0", 1); var users2 = helper.Select<User>("FROM Users Where [UserType]=@0", 1); var users3 = helper.Select<User>("Where [UserType]=@0", 1); helper.Update<User>("UPDATE Users Set [Name]=@0 WHERE [Id]=@1", "Test", 1); helper.Update<User>("Set [Name]=@0 WHERE [Id]=@1", "Test", 1); ```` #### 4、动态查询 ##### 4.1、查询 ```` csharp public User FindUser(int userId,string userName,string nickName) { var helper = SqlHelperFactory.OpenMysql("127.0.0.1", "web", "root", "123456"); return helper.Where<User>() .IfTrue(userId > 0).Where((u) => u.Id == userId) .IfSet(userName).Where((u) => u.UserName == userName) .IfSet(nickName).Where((u) => u.NickName == nickName) .SingleOrDefault(); } ```` 方法有： * `IfTrue`、`IfFalse`、`IfSet`、`IfNotSet`、`IfNull`、`IfNotNull` * `WhereNotIn`、`WhereIn`、`Where`、`OrderBy`、`GroupBy`、`Having`、`SelectColumn` * `Select`、`Page`、`Single`、`SingleOrDefault`、`First`、`FirstOrDefault`、`Count`、`ExecuteDataTable`、`ExecuteDataSet` * `Select<T>`、`Page<T>`、`SkipTake<T>`、`Single<T>`、`SingleOrDefault<T>`、`First<T>`、`FirstOrDefault<T>` #### 5、存储过程 ##### 5.1、定义类 ```` csharp public class Chart_GetDeviceCount : SqlProcess { public Chart_GetDeviceCount(ToolGood.ReadyGo.SqlHelper helper) : base(helper) { } protected override void OnInit() { _ProcessName = "Chart_GetDeviceCount"; Add<int>("_AgentId", false); Add<int>("_IsAll", false); Add<int>("_Type", false); Add<DateTime>("_StartDate", false); Add<DateTime>("_EndDate", false); } public int AgentId { get { return _G<int>("_AgentId"); } set { _S("_AgentId", value); } } public int IsAll { get { return _G<int>("_IsAll"); } set { _S("_IsAll", value); } } public int Type { get { return _G<int>("_Type"); } set { _S("_Type", value); } } public DateTime StartDate { get { return _G<DateTime>("_StartDate"); } set { _S("_StartDate", value); } } public DateTime EndDate { get { return _G<DateTime>("_EndDate"); } set { _S("_EndDate", value); } } } ```` ##### 5.2、存储执行 ```` csharp var helper = SqlHelperFactory.OpenMysql("127.0.0.1", "wifi", "root", "123456"); Chart_GetDeviceCount c = new Chart_GetDeviceCount(helper); c.AgentId = 0; c.IsAll = 0; c.Type = 0; c.StartDate = DateTime.Parse("2016-06-01"); c.EndDate = DateTime.Parse("2016-07-01"); var dt= c.ExecuteScalar<int> (); ```` #### 6、SQL执行监控 #### 6.1、上一次SQL执行语句 ```` csharp var sql = helper._Sql.LastSQL; var args = helper._SqlSql.LastArgs; var cmd = helper._Sql.LastCommand; var err = helper._Sql.LastErrorMessage; ````

yue_Hant

f743e3fa82fd885dba22e57424a2b85a7564fd3d

md

Markdown

treebanks/tr_penn/tr_penn-dep-flat.md

myedibleenso/docs

4306449b6863a7055a7289a94de010dbcfc11f65

treebanks/tr_penn/tr_penn-dep-flat.md

myedibleenso/docs

4306449b6863a7055a7289a94de010dbcfc11f65

treebanks/tr_penn/tr_penn-dep-flat.md

myedibleenso/docs

4306449b6863a7055a7289a94de010dbcfc11f65

--- layout: base title: 'Statistics of flat in UD_Turkish-Penn' udver: '2' --- ## Treebank Statistics: UD_Turkish-Penn: Relations: `flat` This relation is universal. 1948 nodes (2%) are attached to their parents as `flat`. 1948 instances of `flat` (100%) are left-to-right (parent precedes child). Average distance between parent and child is 1.28850102669405. The following 25 pairs of parts of speech are connected with `flat`: <tt><a href="tr_penn-pos-PROPN.html">PROPN</a></tt>-<tt><a href="tr_penn-pos-PROPN.html">PROPN</a></tt> (1622; 83% instances), <tt><a href="tr_penn-pos-PROPN.html">PROPN</a></tt>-<tt><a href="tr_penn-pos-NOUN.html">NOUN</a></tt> (120; 6% instances), <tt><a href="tr_penn-pos-NOUN.html">NOUN</a></tt>-<tt><a href="tr_penn-pos-PROPN.html">PROPN</a></tt> (81; 4% instances), <tt><a href="tr_penn-pos-NOUN.html">NOUN</a></tt>-<tt><a href="tr_penn-pos-NOUN.html">NOUN</a></tt> (45; 2% instances), <tt><a href="tr_penn-pos-ADJ.html">ADJ</a></tt>-<tt><a href="tr_penn-pos-PROPN.html">PROPN</a></tt> (16; 1% instances), <tt><a href="tr_penn-pos-PROPN.html">PROPN</a></tt>-<tt><a href="tr_penn-pos-ADJ.html">ADJ</a></tt> (14; 1% instances), <tt><a href="tr_penn-pos-ADJ.html">ADJ</a></tt>-<tt><a href="tr_penn-pos-NOUN.html">NOUN</a></tt> (8; 0% instances), <tt><a href="tr_penn-pos-PROPN.html">PROPN</a></tt>-<tt><a href="tr_penn-pos-NUM.html">NUM</a></tt> (7; 0% instances), <tt><a href="tr_penn-pos-PROPN.html">PROPN</a></tt>-<tt><a href="tr_penn-pos-CCONJ.html">CCONJ</a></tt> (6; 0% instances), <tt><a href="tr_penn-pos-PROPN.html">PROPN</a></tt>-<tt><a href="tr_penn-pos-INTJ.html">INTJ</a></tt> (5; 0% instances), <tt><a href="tr_penn-pos-CCONJ.html">CCONJ</a></tt>-<tt><a href="tr_penn-pos-PROPN.html">PROPN</a></tt> (4; 0% instances), <tt><a href="tr_penn-pos-NOUN.html">NOUN</a></tt>-<tt><a href="tr_penn-pos-NUM.html">NUM</a></tt> (4; 0% instances), <tt><a href="tr_penn-pos-INTJ.html">INTJ</a></tt>-<tt><a href="tr_penn-pos-PROPN.html">PROPN</a></tt> (2; 0% instances), <tt><a href="tr_penn-pos-NOUN.html">NOUN</a></tt>-<tt><a href="tr_penn-pos-ADJ.html">ADJ</a></tt> (2; 0% instances), <tt><a href="tr_penn-pos-NUM.html">NUM</a></tt>-<tt><a href="tr_penn-pos-NUM.html">NUM</a></tt> (2; 0% instances), <tt><a href="tr_penn-pos-CCONJ.html">CCONJ</a></tt>-<tt><a href="tr_penn-pos-NOUN.html">NOUN</a></tt> (1; 0% instances), <tt><a href="tr_penn-pos-DET.html">DET</a></tt>-<tt><a href="tr_penn-pos-NOUN.html">NOUN</a></tt> (1; 0% instances), <tt><a href="tr_penn-pos-INTJ.html">INTJ</a></tt>-<tt><a href="tr_penn-pos-NOUN.html">NOUN</a></tt> (1; 0% instances), <tt><a href="tr_penn-pos-NOUN.html">NOUN</a></tt>-<tt><a href="tr_penn-pos-CCONJ.html">CCONJ</a></tt> (1; 0% instances), <tt><a href="tr_penn-pos-NUM.html">NUM</a></tt>-<tt><a href="tr_penn-pos-NOUN.html">NOUN</a></tt> (1; 0% instances), <tt><a href="tr_penn-pos-NUM.html">NUM</a></tt>-<tt><a href="tr_penn-pos-PROPN.html">PROPN</a></tt> (1; 0% instances), <tt><a href="tr_penn-pos-PROPN.html">PROPN</a></tt>-<tt><a href="tr_penn-pos-PRON.html">PRON</a></tt> (1; 0% instances), <tt><a href="tr_penn-pos-PROPN.html">PROPN</a></tt>-<tt><a href="tr_penn-pos-VERB.html">VERB</a></tt> (1; 0% instances), <tt><a href="tr_penn-pos-VERB.html">VERB</a></tt>-<tt><a href="tr_penn-pos-PROPN.html">PROPN</a></tt> (1; 0% instances), <tt><a href="tr_penn-pos-X.html">X</a></tt>-<tt><a href="tr_penn-pos-NUM.html">NUM</a></tt> (1; 0% instances). ~~~ conllu # visual-style 4 bgColor:blue # visual-style 4 fgColor:white # visual-style 3 bgColor:blue # visual-style 3 fgColor:white # visual-style 3 4 flat color:blue 1 Bu bu DET _ Definite=Def 2 det _ _ 2 hesap hesap NOUN _ Case=Nom|Number=Sing|Person=3 10 nsubj _ _ 3 Della della PROPN _ Case=Nom|Number=Sing 10 obl _ _ 4 Femina femina PROPN _ Case=Nom|Number=Sing 3 flat _ _ 5 , , PUNCT _ _ 6 punct _ _ 6 McNamee mcnamee PROPN _ Case=Nom|Number=Sing 3 compound _ _ 7 WCRS wcrs PROPN _ Case=Nom|Number=Sing 6 flat _ _ 8 tarafından tarafından ADV _ _ 3 case _ _ 9 idare idare NOUN _ Case=Nom|Number=Sing|Person=3 10 compound _ _ 10 edildi et VERB _ Aspect=Perf|Mood=Ind|Number=Sing|Person=3|Polarity=Pos|Tense=Past|VerbForm=Fin|Voice=Pass 0 root _ _ 11 . . PUNCT _ _ 10 punct _ _ ~~~ ~~~ conllu # visual-style 2 bgColor:blue # visual-style 2 fgColor:white # visual-style 1 bgColor:blue # visual-style 1 fgColor:white # visual-style 1 2 flat color:blue 1 Baxter Baxter PROPN _ Case=Nom|Number=Sing 0 root _ _ 2 v. v. NOUN _ Case=Nom|Number=Sing|Person=3 1 flat _ _ 3 Palmingiano Palmingiano PROPN _ Case=Nom|Number=Sing 2 flat _ _ 4 , , PUNCT _ _ 3 punct _ _ 5 425 425 NUM _ NumType=Card 6 nummod _ _ 6 U.S. U.S. PROPN _ Case=Nom|Number=Sing 7 nmod _ _ 7 308 308 NUM _ NumType=Card 3 list _ _ 8 ( ( PUNCT _ _ 9 punct _ _ 9 1976 1976 NUM _ NumType=Card 7 appos _ _ 10 ) ) PUNCT _ _ 9 punct _ _ 11 . . PUNCT _ _ 3 punct _ _ ~~~ ~~~ conllu # visual-style 5 bgColor:blue # visual-style 5 fgColor:white # visual-style 4 bgColor:blue # visual-style 4 fgColor:white # visual-style 4 5 flat color:blue 1 Phyllis phyllis PROPN _ Case=Nom|Number=Sing 0 root _ _ 2 Kyle kyle PROPN _ Case=Nom|Number=Sing 1 flat _ _ 3 Stephenson stephenson PROPN _ Case=Nom|Number=Sing 1 flat _ _ 4 Newport newport NOUN _ Case=Nom|Number=Sing|Person=3 1 list _ _ 5 News news PROPN _ Case=Nom|Number=Sing 4 flat _ _ 6 Va Va PROPN _ Case=Nom|Number=Sing 5 list _ _ 7 . . PUNCT _ _ 5 punct _ _ ~~~

yue_Hant

f7458f15bc504061932da631fb53f1ad49c3269b

md

Markdown

docs/Status.md

UbiOps/client-library-python

d38c2a14507b71225a2d8d1fda933ec8f2fac467

2021-09-12T17:28:31.000Z

2021-09-12T17:28:31.000Z

docs/Status.md

UbiOps/client-library-python

d38c2a14507b71225a2d8d1fda933ec8f2fac467

docs/Status.md

UbiOps/client-library-python

d38c2a14507b71225a2d8d1fda933ec8f2fac467

2020-11-30T11:38:56.000Z

2021-09-12T17:28:33.000Z

# Status ## Properties Name | Type | Notes ------------ | ------------- | ------------- **status** | **str** |

eng_Latn

f745b2e5097dd5979d580c828b8caed0dc157352

md

Markdown

README.md

rvaccarim/sudoku_wasm

1305cea629767a6ac9dfb253851662aa4b6c7add

2020-08-10T18:34:16.000Z

2020-08-11T07:46:40.000Z

README.md

rvaccarim/sudoku_wasm

1305cea629767a6ac9dfb253851662aa4b6c7add

README.md

rvaccarim/sudoku_wasm

1305cea629767a6ac9dfb253851662aa4b6c7add

2021-12-24T08:12:40.000Z

2021-12-24T08:12:40.000Z

# Sudoku Wasm This repository contains different options that I evaluated for porting a Java Sudoku Solver to WebAssembly. You can check more details on my [blog](https://robertovaccari.com/blog/2020_07_25_sudoku_wasm/)

eng_Latn

f7469bc40ae062ef06e8df9ecde92207ced11195

md

Markdown

README.md

devindex/vue-mask

fef5cacade1695152c5908b998da1761098b5e81

2017-05-31T05:10:31.000Z

2022-01-19T16:01:18.000Z

README.md

devindex/vue-mask

fef5cacade1695152c5908b998da1761098b5e81

2017-06-13T19:55:53.000Z

2018-07-28T06:13:35.000Z

README.md

devindex/vue-mask

fef5cacade1695152c5908b998da1761098b5e81

2018-01-11T12:33:26.000Z

2020-07-24T20:03:14.000Z

Vue mask ============== Input mask lib for Vue.js based on [String-Mask](https://github.com/the-darc/string-mask) ## Installation This version only works in Vue 3. ```bash # npm $ npm i -S @devindex/vue-mask # yarn $ yarn add @devindex/vue-mask ``` ## Usage ```javascript import { createApp } from 'vue'; import VueMask from '@devindex/vue-mask'; // <-- ADD THIS LINE import App from './App.vue'; const app = createApp(App); app.use(VueMask); // <-- ADD THIS LINE app.mount('#app'); ``` Basic usage on HTML input element ```html <input type="text" name="mask" v-model="mask" v-mask="'0000-0000'"> ``` ## Available masks ### v-mask ```html <input type="text" name="mask" v-model="mask" v-mask="'0000-0000'"> ``` ### v-mask-date (us|br) ```html <input type="text" name="date" v-model="maskDate" v-mask-date.br> ``` ### v-mask-phone (us|br) ```html <input type="text" name="phone" v-model="maskPhone" v-mask-phone.br> ``` ### v-mask-decimal (us|br) ```html <input type="text" name="decimal" v-model="maskDecimal" v-mask-decimal.br="2"> ``` ### v-mask-number ```html <input type="text" name="number" v-model="maskNumber" v-mask-number> ``` ### v-mask-cpf ```html <input type="text" name="cpf" v-model="maskCpf" v-mask-cpf> ``` ### v-mask-cnpj ```html <input type="text" name="cnpj" v-model="maskCnpj" v-mask-cnpj> ``` ### v-mask-cep ```html <input type="text" name="cep" v-model="maskCep" v-mask-cep> ``` ### v-mask-cc ```html <input type="text" name="cc" v-model="maskCc" v-mask-cc> ``` ## Special mask characters Character | Description --- | --- `0` | Any numbers `9` | Any numbers (Optional) `#` | Any numbers (Recursive) `A` | Any alphanumeric character `S` | Any letter `U` | Any letter (All lower case character will be mapped to uppercase) `L` | Any letter (All upper case character will be mapped to lowercase) `$` | Escape character, used to escape any of the special formatting characters.

kor_Hang

f747932da785dd0bbf7ac95bd05e01ce67850d8c

md

Markdown

README.md

ethanmwirigi/choose

2be0bfcbe4179c8719f85d2d452cdee916107b56

README.md

ethanmwirigi/choose

2be0bfcbe4179c8719f85d2d452cdee916107b56

README.md

ethanmwirigi/choose

2be0bfcbe4179c8719f85d2d452cdee916107b56

# choose a website about choose

eng_Latn

f7482144fe126b71c5ac22ad51f7646c282fb36a

md

Markdown

dsc/configurations/configHelp.md

RyanKing77/powerShell-Docs.hu-hu

668dc81ad8c551f2e3b5596ea30a6e012a957825

dsc/configurations/configHelp.md

RyanKing77/powerShell-Docs.hu-hu

668dc81ad8c551f2e3b5596ea30a6e012a957825

dsc/configurations/configHelp.md

RyanKing77/powerShell-Docs.hu-hu

668dc81ad8c551f2e3b5596ea30a6e012a957825

--- ms.date: 12/12/2018 keywords: DSC, powershell, a konfigurációt, a beállítása title: DSC-konfigurációk súgóinak összeállítása ms.openlocfilehash: 498ec0f594ed3229e097903c4ea2ae34d3da03a2 ms.sourcegitcommit: e7445ba8203da304286c591ff513900ad1c244a4 ms.translationtype: MT ms.contentlocale: hu-HU ms.lasthandoff: 04/23/2019 ms.locfileid: "62080183" --- # <a name="writing-help-for-dsc-configurations"></a>DSC-konfigurációk súgóinak összeállítása >A következőkre vonatkozik: Windows PowerShell 5.0 A DSC-konfigurációk Megjegyzés-alapú súgó is használhatja. Felhasználók férhetnek hozzá a Súgó hívása a **konfigurációs** a `-?`, vagy a [Get-Help](/powershell/module/Microsoft.PowerShell.Core/Get-Help) parancsmagot. Helyezze el a Megjegyzés-alapú súgó közvetlenül a fenti a `Configuration` kulcsszót. A megjegyzésblokkot, közvetlenül a paraméterdeklarációhoz vagy mindkettő az alábbi példában látható módon fölött a paraméter súgó beágyazott helyezheti. További információ a PowerShell Megjegyzés-alapú súgó: [about_Comment_Based_Help](/powershell/module/microsoft.powershell.core/about/about_comment_based_help). > [!NOTE] > PowerShell fejlesztési környezetekben, például a VSCode és az ISE-ben is kódrészletek automatikus beszúrását Megjegyzés blokk sablonok lehetővé teszi. Az alábbi példa bemutatja egy parancsfájlt, amely tartalmazza a konfigurációs és a hozzá tartozó megjegyzés-alapú súgó. Ez a példa bemutatja egy konfigurációt a paramétereket. A konfigurációk a paraméterek használatával kapcsolatos további tudnivalókért lásd: [paraméterek hozzáadása a konfigurációk](add-parameters-to-a-configuration.md). ```powershell <# .SYNOPSIS A brief description of the function or script. This keyword can be used only once for each configuration. .DESCRIPTION A detailed description of the function or script. This keyword can be used only once for each configuration. .PARAMETER ComputerName The description of a parameter. Add a .PARAMETER keyword for each parameter in the function or script syntax. Type the parameter name on the same line as the .PARAMETER keyword. Type the parameter description on the lines following the .PARAMETER keyword. Windows PowerShell interprets all text between the .PARAMETER line and the next keyword or the end of the comment block as part of the parameter description. The description can include paragraph breaks. The Parameter keywords can appear in any order in the comment block, but the function or script syntax determines the order in which the parameters (and their descriptions) appear in help topic. To change the order, change the syntax. .EXAMPLE HelpSample -ComputerName localhost A sample command that uses the function or script, optionally followed by sample output and a description. Repeat this keyword for each example. PowerShell automatically prefaces the first line with a PowerShell prompt. Additional lines are treated as output and description. The example can contain spaces, newlines and PowerShell code. If you have multiple examples, there is no need to number them. PowerShell will number the examples in help text. .EXAMPLE HelpSample -FilePath "C:\output.txt" This example will be labeled "EXAMPLE 2" when help is displayed to the user. #> configuration HelpSample1 { param ( [string]$ComputerName = 'localhost', # Provide a PARAMETER section for each parameter that your script or function accepts. [string]$FilePath = 'C:\Destination.txt' ) Node $ComputerName { File HelloWorld { Contents="Hello World" DestinationPath = $FilePath } } } ``` ## <a name="viewing-configuration-help"></a>Konfigurációs súgó megtekintése Egy konfigurációs súgójának megtekintéséhez használja a `Get-Help` parancsmag és a függvény vagy a típus neve, amelyre a függvény neve követ `-?`. Az alábbiakban található a korábbi konfiguráció átadott kimenete `Get-Help`. ```powershell Get-Help HelpSample1 -Detailed ``` ```output NAME HelpSample1 SYNOPSIS A brief description of the function or script. This keyword can be used only once for each configuration. SYNTAX HelpSample1 [[-InstanceName] <String>] [[-DependsOn] <String[]>] [[-PsDscRunAsCredential] <PSCredential>] [[-OutputPath] <String>] [[-ConfigurationData] <Hashtable>] [[-ComputerName] <String>] [[-FilePath] <String>] [<CommonParameters>] DESCRIPTION A detailed description of the function or script. This keyword can be used only once for each configuration. PARAMETERS -InstanceName <String> -DependsOn <String[]> -PsDscRunAsCredential <PSCredential> -OutputPath <String> -ConfigurationData <Hashtable> -ComputerName <String> The description of a parameter. Add a .PARAMETER keyword for each parameter in the function or script syntax. Type the parameter name on the same line as the .PARAMETER keyword. Type the parameter description on the lines following the .PARAMETER keyword. Windows PowerShell interprets all text between the .PARAMETER line and the next keyword or the end of the comment block as part of the parameter description. The description can include paragraph breaks. The Parameter keywords can appear in any order in the comment block, but the function or script syntax determines the order in which the parameters (and their descriptions) appear in help topic. To change the order, change the syntax. -FilePath <String> Provide a PARAMETER section for each parameter that your script or function accepts. <CommonParameters> This cmdlet supports the common parameters: Verbose, Debug, ErrorAction, ErrorVariable, WarningAction, WarningVariable, OutBuffer, PipelineVariable, and OutVariable. For more information, see about_CommonParameters (https:/go.microsoft.com/fwlink/?LinkID=113216). -------------------------- EXAMPLE 1 -------------------------- PS C:\>HelpSample -ComputerName localhost A sample command that uses the function or script, optionally followed by sample output and a description. Repeat this keyword for each example. PowerShell automatically prefaces the first line with a PowerShell prompt. Additional lines are treated as output and description. The example can contain spaces, newlines and PowerShell code. If you have multiple examples, there is no need to number them. PowerShell will number the examples in help text. -------------------------- EXAMPLE 2 -------------------------- PS C:\>HelpSample -FilePath "C:\output.txt" This example will be labeled "EXAMPLE 2" when help is displayed to the user. REMARKS To see the examples, type: "get-help HelpSample1 -examples". For more information, type: "get-help HelpSample1 -detailed". For technical information, type: "get-help HelpSample1 -full". ``` > [!NOTE] > Szintaxis mezőket és a paraméter-attribútumok automatikusan jönnek létre az Ön számára PowerShell. ## <a name="see-also"></a>Lásd még: - [DSC-konfigurációk](configurations.md) - [Írási, fordítsa le és a konfiguráció alkalmazása](write-compile-apply-configuration.md) - [A konfigurációs paraméterek hozzáadása](add-parameters-to-a-configuration.md)

hun_Latn

f749487b3d37ce64ac5b51cbb899f59eb837e269

md

Markdown

docs/About/messageOfTheDay.md

thegrumpys/pcyl-web

a2e003c5cf2fc975d61729f1665e194bdf41fed3

docs/About/messageOfTheDay.md

thegrumpys/pcyl-web

a2e003c5cf2fc975d61729f1665e194bdf41fed3

2018-07-03T06:42:31.000Z

2018-08-17T19:09:55.000Z

docs/About/messageOfTheDay.md

thegrumpys/pcyl-web

a2e003c5cf2fc975d61729f1665e194bdf41fed3

**Message-of-the-day** &nbsp; updated May 24, 2022 Watch this space for breaking news including recent and impending releases, planned outages, newly discovered issues and work-arounds. [ODOP version 4.2.2](https://github.com/thegrumpys/odop/milestone/57?closed=1) was released May 24, 2022. [ODOP version 4.2.1](https://github.com/thegrumpys/odop/milestone/56?closed=1) was released May 1, 2022. [ODOP version 4.2](https://github.com/thegrumpys/odop/milestone/55?closed=1) was released April 3, 2022. [ODOP version 4.1](https://github.com/thegrumpys/odop/milestone/37?closed=1) was released January 15, 2022. Opening a design saved in a prior version of ODOP will produce a pop-up message. See: [MIGRATION](http://odop.herokuapp.com/docs/Help/terminology.html#migration). Follow the links above to see change details in GitHub. ODOP is [Experimental Software](http://odop.herokuapp.com/docs/About/experimental.html). To establish a free account, see: [User Accounts](http://odop.herokuapp.com/docs/About/userAccounts.html). With the recent changes in [Calculator View](http://odop.herokuapp.com/docs/Help/menus.html#ViewCalculator), browser requirements have changed. For details, see: [Requirements](http://odop.herokuapp.com/docs/About/requirements.html) and [AutoFix](http://odop.herokuapp.com/docs/Help/terminology.html#autoFix). Evaluators and new users should be sure to see the [About](http://odop.herokuapp.com/docs/About) section of the on-line documentation early in the learning process. Also, a short [Getting Started with ODOP](https://www.youtube.com/watch?v=JS-8Z1Ct0aI) video is available. Thank you for your interest in the **O**pen **D**esign **O**ptimization **P**latform software and the ODOP:Spring app. Your success and feedback are important to us. Please do not hesitate to let us know if we may be able to provide assistance. If you are interested, a free over-the-phone walk through of the app including assistance with your first spring design can be arranged. [Contact Us](http://odop.herokuapp.com/docs/About/ContactUs.html). ___ **To return to the previous page:** When invoked from the sign-in page, this page opens in a new browser tab. To return, switch tabs or simply close this tab. <!--- Comment [ODOP version 4.0.7](https://github.com/thegrumpys/odop/milestone/51?closed=1) was released November 12, 2021. -->

eng_Latn

f74d539ac10e483017a209b897d74a8a9b3b0eaa

md

Markdown

_posts/2013-09-19-t380793566668554240.md

desparoz/desparoz.github.io

7014a828648b4a392df6e78f1c746e737b2584f8

_posts/2013-09-19-t380793566668554240.md

desparoz/desparoz.github.io

7014a828648b4a392df6e78f1c746e737b2584f8

_posts/2013-09-19-t380793566668554240.md

desparoz/desparoz.github.io

7014a828648b4a392df6e78f1c746e737b2584f8

--- layout: post microblog: true date: 2013-09-19 23:40 +0300 guid: http://desparoz.micro.blog/2013/09/19/t380793566668554240.html --- Link: John Moltz on iOS7: It’s the little things [t.co/9kfhAJIPs...](http://t.co/9kfhAJIPs8)

yue_Hant

f74efb36ba2a434076e8bf5a8e33b7ef0546d298

md

Markdown

test/test_files/json.md

singingwolfboy/markdown-doctest

6a897f18639b7608ba513a340d3237d9ec02b4d3

2015-11-05T21:25:18.000Z

2021-11-10T14:37:18.000Z

test/test_files/json.md

singingwolfboy/markdown-doctest

6a897f18639b7608ba513a340d3237d9ec02b4d3

2015-10-26T05:59:47.000Z

2020-10-07T04:06:39.000Z

test/test_files/json.md

singingwolfboy/markdown-doctest

6a897f18639b7608ba513a340d3237d9ec02b4d3

2016-03-03T12:06:07.000Z

2021-09-03T04:05:40.000Z

Here is some json: ```json { test: 'post' } ``` Markdown-doctest is surely smart enough to ignore it.

eng_Latn

f74f78b64a0728b3c90075f20ad3787e499b75dc

md

Markdown

README.md

rohithpudari/realtime-faceid

476d76efda2b8139eb1ee031ad5044c1d3bff851

2021-10-04T18:43:44.000Z

2021-10-04T18:43:44.000Z

README.md

rohithpudari/realtime-faceid

476d76efda2b8139eb1ee031ad5044c1d3bff851

README.md

rohithpudari/realtime-faceid

476d76efda2b8139eb1ee031ad5044c1d3bff851

# realtime-faceid   FaceID This is an implementation of face detector and recognizer which can identify the face of the person showing on a IOS camera. Image preprocessing: face detection, alignment and resizing. Built a database containing embeddings of identity images Computed euclidean distance of embeddings between tested and identity faces to perform identity recognition image For Face Detection (in real time or an image): we show how to implement face detection using OpenCV or Multi-task CNN; For Face Recognition (in real time or an image): we use a deep neural network, the model we use is based on FaceNet, which was published by Google in 2015 and achieved 99.57% accuracy on a popular face recognition dataset named “Labeled Faces in thae Wild(LFW)". You can find its open-source Keras version here and Tensorflow version here, and play around to build your own models. # There are three steps for face recognition: 1. Collecting face data (your face pictures) and labels and save to dataset folder. 2. Input face data and labels into model to train a recognition model. 3. Download the model 4. Use this template on your model to perform face recognition on IOS device. # Instructions: 1. Download this repository as zip file and unzip it to a folder. 2. perform a Pod Install in that folder (this installs all the required packages) 3. Open Xcode and run the project file. 4. You can import your custom model in the model folder and then perform the face recognition on your data.

eng_Latn

f74fe38d2f66eebf04561f91603213702b6ececd

md

Markdown

moose-wiki/Developers/DefineBaselineLoadingMoose.md

greenpanther93/moosetechnology.github.io

fc7bd892065f58beb96c647b5d0fe98319a1835d

moose-wiki/Developers/DefineBaselineLoadingMoose.md

greenpanther93/moosetechnology.github.io

fc7bd892065f58beb96c647b5d0fe98319a1835d

2021-02-02T12:45:21.000Z

2022-01-26T19:35:51.000Z

moose-wiki/Developers/DefineBaselineLoadingMoose.md

greenpanther93/moosetechnology.github.io

fc7bd892065f58beb96c647b5d0fe98319a1835d

2021-02-04T18:16:15.000Z

2022-03-14T06:04:30.000Z

--- layout: page background: '/img/bg-wiki.jpg' title: 'Define a baseline loading Moose only if not present' --- # Define a baseline loading Moose only if not present Moose is a big project and loading it all the time is long. Multiple peoples came to me asking if there was a way in the baseline of a project to say "Load Moose only if needed". Since it is a common question here is a guide on how to do that! One way to do it is to use custom project attributes from Metacello. The principle is simple, depending on the state of your image, you can define project attributes and use them in your baseline. To define the attributes you need to implement a method #customProjectAttributes that will return an array with the custom attributes. For example, if I just want to ensure any version of Famix is present I can implement it like this: ```st customProjectAttributes self class environment at: #MooseEntity ifAbsent: [ ^ #(#WithoutFamix) ]. ^ #() ``` If I want to ensure Moose is in the image I can define it like this: ```st customProjectAttributes RPackageOrganizer default packages detect: [ :package | package name = 'BaselineOfMoose' ] ifNone: [ ^#(#WithoutMoose) ]. ^ #() ``` Or I can also define both: ```st customProjectAttributes | attributes | attributes := OrderedCollection new. self class environment at: #MooseEntity ifAbsent: [ attributes add: #WithoutFamix ]. RPackageOrganizer default packages detect: [ :package | package name = 'BaselineOfMoose' ] ifNone: [ attributes add: #WithoutMoose ]. ^ attributes asArray ``` And now I can use those attributes in a baseline via the #for:do: message. ## Full example ```st customProjectAttributes self class environment at: #MooseEntity ifAbsent: [ ^ #(#WithoutFamix) ]. ^ #() ``` ```st baseline: spec <baseline> spec for: #common do: [ spec package: 'MyProject'. spec for: #(#'WithoutFamix') do: [ spec baseline: 'Moose' with: [ spec repository: 'github://moosetechnology/Moose:development/src' ] spec package: 'MyProject' with: [ spec requires: #('Moose') ] ] ```

eng_Latn

f7505f669f39636c530fc8108840b7ca6d55add2

md

Markdown

_posts/digests/2020-03-22-57.md

SkynetToday/skynet-today

30adf99c33e056d68e9e55aef2bf647bbb87cb53

2018-05-15T19:34:04.000Z

2021-11-07T18:59:27.000Z

_posts/digests/2020-03-22-57.md

SkynetToday/skynet-today

30adf99c33e056d68e9e55aef2bf647bbb87cb53

2018-05-14T07:32:11.000Z

2022-03-27T17:14:55.000Z

_posts/digests/2020-03-22-57.md

SkynetToday/skynet-today

30adf99c33e056d68e9e55aef2bf647bbb87cb53

2018-05-17T00:04:41.000Z

2021-06-15T07:06:44.000Z

--- title: "Last Week in AI #57" excerpt: "Future of self-driving trucks, AI in making triage decisions, and more!" image: feature: assets/img/digests/57/starsky.jpeg credit: <a href="https://medium.com/starsky-robotics-blog/the-end-of-starsky-robotics-acb8a6a8a5f5"> Starsky Robotics via Medium </a> categories: [digests] permalink: /digests/the-fifty-seventh sidebartoc: true --- ### Mini Briefs #### [The End of Starsky Robotics](https://medium.com/starsky-robotics-blog/the-end-of-starsky-robotics-acb8a6a8a5f5) Starsky Robotics, a self-driving truck company, announced it is shutting down this year. In a medium post the CEO explains in-depth about the challenges that led to the decision and specifically: > The biggest \[problem\], however, is that supervised machine learning doesn't live up to the hype. The reason is the amount of data needed to marginally improve model performance scales exponentially. This leads to dramatic diminishing returns in AI development, and it makes tackling enough edge cases to guarantee safety a prohibtively expensive endeavor. Another challenge Starsky faced was how most VCs are far more interested in flashy features that don't work well in real scenarios than important but almost invisible improvements in safety. While the CEO concludes that he'd "love to be wrong," > The current companies \[...\] will continue to drain momentum over the next two years, followed by a few years with nearly no investment in the space, and (hopefully) another unmanned highway test for 5 years. #### [Should AI help make life-or-death decisions in the coronavirus fight?](https://www.scmp.com/news/china/science/article/3076259/should-ai-help-make-life-or-death-decisions-coronavirus-fight) Researchers developed an AI model that predicts how likely a Covid-19 patient is to survive based on 3 biomarkers in blood samples. This model is used to help doctors make triage decisions, alerting them about high-risk individuals who should be treated earlier before they exhibit significant symptoms. As with any data-driven technology being used in making life-death decisions, there are serious concerns. For example, biases in the data could lead to some patients being treated less, reducing their survival rate, which in turn reinforces the model's belief that these patients have low survival rates: > This is a tool that can also be used to deprive patients of advanced age or with underlying conditions of the right to be treated because a computer has decided they have almost zero chance of survival ### Podcast Check out our weekly podcast covering these stories! [Website](https://aitalk.podbean.com) \| [RSS](https://feed.podbean.com/aitalk/feed.xml) \| [iTunes](https://podcasts.apple.com/us/podcast/lets-talk-ai/id1502782720) \| [Spotify](https://open.spotify.com/show/17HiNdxcoKJLLNibIAyUch) \| [YouTube](https://www.youtube.com/channel/UCKARTq-t5SPMzwtft8FWwnA) <iframe title="Let's Talk AI" id="multi_iframe" class="podcast_embed" src="https://www.podbean.com/media/player/multi?playlist=http%3A%2F%2Fplaylist.podbean.com%2F7703921%2Fplaylist_multi.xml&vjs=1&kdsowie31j4k1jlf913=4975ccdd28d39e38bf5a1ccaf0c6ca4337fa996b&size=430&skin=9&episode_list_bg=%23ffffff&bg_left=%23000000&bg_mid=%230c5056&bg_right=%232a1844&podcast_title_color=%23c4c4c4&episode_title_color=%23ffffff&auto=0&share=1&fonts=Helvetica&download=0&rtl=0&show_playlist_recent_number=10&pbad=1" scrolling="yes" allowfullscreen="" width="100%" height="330" frameborder="0"></iframe> ### News #### Advances & Business * [You - yes, you - can help AI predict the spread of coronavirus](https://www.vox.com/future-perfect/2020/3/19/21185686/ai-predicting-coronavirus-spread-forecasting-covid-19) - Even if you know nothing about artificial intelligence, you can volunteer to forecast the future of Covid-19. * [Microsoft can filter out the sound of you eating potato chips on a conference call](https://www.cnet.com/news/microsoft-can-filter-out-the-sound-of-you-eating-potato-chips-on-a-conference-call/) - The software giant's trained artificial intelligence software to identify background noise that isn't your voice. Snackers, rejoice. * [Coronavirus is prompting companies to adopt AI call center solutions](https://venturebeat.com/2020/03/19/coronavirus-is-prompting-companies-to-adopt-ai-call-center-solutions/) - As the continued spread of COVID-19 disrupts workplaces and travel plans around the globe, customer service centers are experiencing an unprecedented uptick in overall call volume. * [COVID-19 accelerates beauty's demand for AI and AR technology](https://www.glossy.co/beauty/covid-19-accelerates-beautys-demand-for-ai-and-ar-technology) - When beauty companies began investing heavily in AI and AR try-on tools two years ago, they may not have anticipated that these technologies would become one of the only ways their customers could test products. But that is where they are at today, due to the mass shutdown of retail. * [Infrared AI cameras at polling places could spot voters with a fever to detect potential coronavirus carriers](https://www.techrepublic.com/article/infrared-ai-cameras-at-polling-places-could-spot-voters-with-a-fever-to-detect-potential-coronavirus-carriers/) - Security company is using thermal imaging and AI to identify people with a temperature of 100 degrees. A security company has shifted its detection strategy from spotting guns to identifying people with a temperature. * [Five Companies Using AI to Fight Coronavirus](https://spectrum.ieee.org/the-human-os/artificial-intelligence/medical-ai/companies-ai-coronavirus) - Deep learning models predict old and new drugs that might successfully treat COVID-19 * [Hospital droid Diligent Robotics raises $10M to assist nurses](https://techcrunch.com/2020/03/20/robot-nurse/) - 28% of a nurse's time is wasted on low-skilled tasks like fetching medical tools. We need them focused on the complex and compassionate work of treating patients, especially amid the coronavirus outbreak. * [RoboPony: Chinese Robot Maker Sees Demand Surge Amid Virus](https://www.nytimes.com/aponline/2020/03/19/business/ap-virus-outbreak-china-robot-maker.html) - While other industries struggle, Liu Zhiyong says China's virus outbreak is boosting demand for his knee-high, bright yellow robots to deliver groceries and patrol malls looking for shoppers who fail to wear masks. * [In a time of coronavirus, China's investment in AI is paying off in a big way](https://www.scmp.com/comment/opinion/article/3075553/time-coronavirus-chinas-investment-ai-paying-big-way) - AI is being used to fight the virus on all fronts, from screening and diagnosis to containment and drug development. * [Stanford virtual conference to focus on COVID‑19 and artificial intelligence](https://news.stanford.edu/2020/03/20/stanford-virtual-conference-focus-covid-19-artificial-intelligence/) - The impact of COVID-19 on society and the way artificial intelligence can be leveraged to increase understanding of the virus and its spread will be the focus of an April 1 virtual conference sponsored by the Stanford Institute for Human-Centered Artificial Intelligence (HAI). #### Concerns & Hype * [Coronavirus: Social giants police web with AI as staff sent home](https://www.bbc.com/news/technology-51926564) - Major websites are turning to automatic systems to moderate content as they tell their staff to work from home. YouTube, Twitter and Facebook are all relying on artificial intelligence and automated tools to find problematic material on their platforms. * [At last, our AI savior is here to nail the COVID-19 pandemic: A neural network that can detect coughing](https://www.theregister.co.uk/2020/03/20/coronavirus_ai_cough/) - The AI community is attempting to tackle the coronavirus pandemic using all sorts of algorithms in its toolbox. As such, it's coming up with ways to predict the virus' protein structure, crunch through thousands of science papers, and now, er, detecting coughs. * [Hong Kong's new surveillance plan tracks those in coronavirus quarantine](https://fortune.com/2020/03/19/coronavirus-hong-kong-quarantine-tracking/) - The city is relying on new devices to monitor those under mandatory two-week quarantine. #### Analysis & Policy * [With launch of COVID-19 data hub, the White House issues a 'call to action' for AI researchers](https://techcrunch.com/2020/03/16/coronavirus-machine-learning-cord-19-chan-zuckerberg-ostp/) - In a briefing on Monday, research leaders across tech, academia, and the government joined the White House to announce an open dataset full of scientific literature on the novel coronavirus. * [Global Officials Call for Free Access to Covid-19 Research](https://www.wired.com/story/global-officials-call-free-access-covid-19-research) - Government science advisers from the US and 11 other countries Friday called on scientific publishers to make all research related to the coronavirus and Covid-19 more freely available. #### Expert Opinions & Discussion within the field * [Why we like a good robot story](https://blog.oup.com/2020/03/why-we-like-a-good-robot-story/) - Stories about such machines are therefore always really stories about ourselves: parodying, probing, or problematizing our notions of what it means to be human. * [What Is a Robot? Rodney Brooks Offers an Answer - in Sonnet Form](https://spectrum.ieee.org/automaton/robotics/robotics-hardware/what-is-a-robot-rodney-brooks-sonnet) - We asked famed roboticist Rodney Brooks to explain his definition of robot. He sent us a sonnet * [Coronavirus Pandemic: A Call to Action for the Robotics Community](https://spectrum.ieee.org/automaton/robotics/medical-robots/coronavirus-pandemic-call-to-action-robotics-community) - World-renowned medical robotics expert Guang-Zhong Yang explains what we can learn from this crisis to prepare for the next one * [Yann LeCun comments on China's use of AI in fighting Covid-19](https://www.facebook.com/yann.lecun/posts/10156687760477143) - How China is using AI to fight the COVID19 pandemic: faster genome sequencing, faster diagnosis, CT scan analysis, remotely operated or autonomous ground... * [Another 'Samuelson, 1948' moment? Evidence from machine learning](https://voxeu.org/article/another-samuelson-1948-moment-evidence-machine-learning) - Machine learning discovers that major challenges of climate change, inequality, and the future of work and of property rights in the knowledge-based economy are strikingly absent from today's leading economic textbooks. <hr> That's all for this week! If you are not subscribed and liked this, feel free to subscribe below!

eng_Latn

f750d3f2bfbd62993e62ac0811e882a1580a2472

md

Markdown

useful/README.md

gilesknap/k3s-minecraft

b3b02c3198d280a1675fbd6ebb96a1b4a1e73aee

2021-05-04T13:14:23.000Z

2022-03-27T05:12:25.000Z

useful/README.md

gilesknap/k3s-minecraft

b3b02c3198d280a1675fbd6ebb96a1b4a1e73aee

2021-08-30T01:47:47.000Z

2022-03-16T17:39:15.000Z

useful/README.md

gilesknap/k3s-minecraft

b3b02c3198d280a1675fbd6ebb96a1b4a1e73aee

2021-11-07T13:20:14.000Z

2021-11-07T13:20:14.000Z

Useful additions to k3s ======================= More Things in this repo ------------------------ Notes on things I have deployed to my k3s cluster - [Ambassador easy ingress](deployed/ambassador/README.md) - [backup etcd](deployed/backup/README.md) - [ddclient for opendns and noip](deployed/ddclient/README.md) - [use docker creds for better pull limits](deployed/docker-account/README.md) - [auto provisioning nfs persistent volumes](deployed/dynamic-nfs/README.md) - [grafana monitoring](deployed/monitoring/README.md) - [create new master node from etcd backup](deployed/ambassador/README.md) Other Repos ----------- For a very simple docker build and deploy to kubernetes for a simple service see. This pattern should work for any simple service. - https://github.com/gilesknap/noip Other useful tips ================= Raspberry Pis ------------- Unfortunately some pods which don't support multi arch may try to run on the raspis so I added a taint to them e.g. ```bash kubectl taint nodes pi3 architecture=arm:NoSchedule ``` Then for those items you do want to run there, add a toleration. e.g. ``` yaml tolerations: - key: "architecture" operator: "Equal" value: "arm" effect: "NoSchedule" ``` Alternatively, to quickly avoid running on arm nodes (only run on amd64) edit the deployment and set: ``` yaml spec: template: spec: nodeSelector: kubernetes.io/arch: amd64 ``` When deploying a new raspi to the cluster these are some quick notes on the settings to use. These apply to the 64 bit Raspberry Pi OS which I recommend because many images support arm64 but not arm32. ``` Use a USB drive for booting the raspi - raspi 4 will boot of USB by default - Burn a standard raspios latest disto onto USB with balenea etcher - Before booting make these changes in the /boot partition touch ssh edit /boot/cmdline.txt and add " cgroup_memory=1 cgroup_enable=memory" to the end of the command line edit /boot/config.txt and add these lines: dtoverlay=disable-wifi dtoverlay=disable-bt - Boot from USB and find out the IP, then ssh to the pi with user pi pass raspberry. - Maybe create a new user and delete pi if you are paranoid. - sudo raspi-config change these: set hostname, password and boot/autologin (boot to cmdline and no autologin) set Performance/GPU Memory to 16GB (the minimum) - sudo apt update - sudo apt full-upgrade (this may take a while) - sudo shutdown now - Put the USB key back in your desktop and make a image copy: - lsblk look for the drive with /boot and /rootfs - that i the drive to image e.g. /dev/sdd - sudo dd if=/dev/sdd bs=1024 conv=sparse count=10M | gzip > 2021-05-rpi1-tiny4.zip This image 2021-05-rpi1-tiny4.zip can be used to quickly burn a copy, to use the new copy: - use the gnome disks utility to expand the rootfs partition to fill the new USB drive - boot in a pi and change the hostname if necessary ``` Stuck Deleting ... ------------------ When deleting a master node k3s got stuck on the finalizer. The workaround is below. In general this works for resources that cant run their finalizers. ``` bash kubectl get node -o name <nodename> | xargs -i kubectl patch {} -p '{"metadata":{"finalizers":[]}}' --type=merge ``` Node Affinity ------------- to prefer running on a given node edit the deployment and add ``` yaml spec: template: nodeAffinity: preferredDuringSchedulingIgnoredDuringExecution: - weight: 1 preference: matchExpressions: - key: kubernetes.io/hostname operator: In values: - WORKER_NODE_IP ```

eng_Latn

f750e4b20573fbb70c8ffcf0432049b88dfe9e3c

md

Markdown

_publications/36_Griese_2015_J__Biol__Chem_.md

yanbopan/lehtiolab.github.io

de8ac7c40cc2057b3c98b55ef4838595b98c3f46

2018-06-29T07:43:11.000Z

2018-06-29T07:43:11.000Z

_publications/36_Griese_2015_J__Biol__Chem_.md

yanbopan/lehtiolab.github.io

de8ac7c40cc2057b3c98b55ef4838595b98c3f46

_publications/36_Griese_2015_J__Biol__Chem_.md

yanbopan/lehtiolab.github.io

de8ac7c40cc2057b3c98b55ef4838595b98c3f46

2018-07-18T08:54:43.000Z

2021-06-16T18:43:58.000Z

--- link: https://dx.doi.org/10.1074/jbc.M115.675223 journal: The Journal of biological chemistry title: Structural Basis for Oxygen Activation at a Heterodinuclear Manganese/Iron Cofactor. date: 2015-10-16 authors: Griese, JJ, Kositzki, R, Schrapers, P, Branca, RM, Nordström, A, Lehtiö, J, Haumann, M, Högbom, M ---

eng_Latn

f751bfb009acce4ca0006d710234c3e31d16a19a

md

Markdown

docs/windows/attributes/switch-is.md

stormsen/cpp-docs.zh-cn

171fb895da583a40a875ea2d19e76c71172688ab

docs/windows/attributes/switch-is.md

stormsen/cpp-docs.zh-cn

171fb895da583a40a875ea2d19e76c71172688ab

docs/windows/attributes/switch-is.md

stormsen/cpp-docs.zh-cn

171fb895da583a40a875ea2d19e76c71172688ab

--- title: switch_is （c + + COM 属性） |Microsoft Docs ms.custom: '' ms.date: 10/02/2018 ms.technology: - cpp-windows ms.topic: reference f1_keywords: - vc-attr.switch_is dev_langs: - C++ helpviewer_keywords: - switch_is attribute ms.assetid: f1fffe5d-12d2-4e0f-8803-ccb715177d2d author: mikeblome ms.author: mblome ms.workload: - cplusplus - uwp ms.openlocfilehash: 425caf89619670dd8cabe647b01f8df63be24167 ms.sourcegitcommit: 955ef0f9d966e7c9c65e040f1e28fa83abe102a5 ms.translationtype: MT ms.contentlocale: zh-CN ms.lasthandoff: 10/04/2018 ms.locfileid: "48790374" --- # <a name="switchis"></a>switch_is 指定的表达式或作为联合判别选择联合成员的标识符。 ## <a name="syntax"></a>语法 ```cpp [switch_is] ``` ## <a name="remarks"></a>备注 **Switch_is** c + + 属性具有相同的功能[switch_is](/windows/desktop/Midl/switch-is) MIDL 特性。 ## <a name="example"></a>示例 请参阅[用例](case-cpp.md)的示例使用的示例**switch_is**。 ## <a name="requirements"></a>要求 ### <a name="attribute-context"></a>特性上下文 ||| |-|-| |**适用对象**|**typedef**| |**可重复**|否| |**必需的特性**|无| |**无效的特性**|无| 有关特性上下文的详细信息，请参阅[特性上下文](cpp-attributes-com-net.md#contexts)。 ## <a name="see-also"></a>请参阅 [IDL 特性](idl-attributes.md)<br/> [Typedef、Enum、Union 和 Struct 特性](typedef-enum-union-and-struct-attributes.md)<br/> [switch_type](switch-type.md)

yue_Hant

f751d59e3e01a90aa0291202c96484b5dbbb43d3

md

Markdown

KB/Machine Learning/101/Regression.md

kundanatre/knowledgebase

6fdaf3d9697cf573b9042608f19401e43b205f30

KB/Machine Learning/101/Regression.md

kundanatre/knowledgebase

6fdaf3d9697cf573b9042608f19401e43b205f30

KB/Machine Learning/101/Regression.md

kundanatre/knowledgebase

6fdaf3d9697cf573b9042608f19401e43b205f30

# Machine Learning 101 : Regression models Regression models (both linear and non-linear) are used for predicting a real value, like salary for example. If your independent variable is time, then you are forecasting future values, otherwise your model is predicting present but unknown values. Regression technique vary from Linear Regression to SVR and Random Forests Regression. In this part, you will understand and learn how to implement the following Machine Learning Regression models: + [Simple Linear Regression][] + [Multiple Linear Regression][] + Polynomial Regression + Support Vector for Regression (SVR) + Decision Tree Classification + Random Forest Classification [Simple Linear Regression]:Simple%20Linear%20Regression.md [Multiple Linear Regression]:Multi%20Linear%20Regression.md

eng_Latn

f752606e09c883753860cd10150ee957502e67bd

md

Markdown

AlchemyInsights/become-an-admin.md

pebaum/OfficeDocs-AlchemyInsights-pr.et-EE

da9e02f84f493e9188f4a5855e6117899feff1eb

AlchemyInsights/become-an-admin.md

pebaum/OfficeDocs-AlchemyInsights-pr.et-EE

da9e02f84f493e9188f4a5855e6117899feff1eb

AlchemyInsights/become-an-admin.md

pebaum/OfficeDocs-AlchemyInsights-pr.et-EE

da9e02f84f493e9188f4a5855e6117899feff1eb

--- title: Saada admin ms.author: v-crytho author: CrystalThomasMS ms.date: 04/21/2020 ms.audience: ITPro ms.topic: article ROBOTS: NOINDEX, NOFOLLOW localization_priority: Normal ms.assetid: acff9f3e-e5d9-4eee-b1b3-9895a7cb27fc ms.custom: - "3" - "71" - "13" ms.openlocfilehash: 36e4d335972edb66f59e6589c4f725fcb852b931 ms.sourcegitcommit: 55eff703a17e500681d8fa6a87eb067019ade3cc ms.translationtype: MT ms.contentlocale: et-EE ms.lasthandoff: 04/22/2020 ms.locfileid: "43712346" --- # <a name="become-an-admin"></a>Saada admin Oma organisatsiooni administraatori rolli eeldada, peate võtma üle rentniku. Järgige juhiseid selles juhendis: [admin ülevõtmine](https://docs.microsoft.com/azure/active-directory/users-groups-roles/domains-admin-takeover)

est_Latn

f754703788485128109df0a7486b2112fe8ecac4

md

Markdown

README.md

Holmes-Alan/RefVAE

836b8f1168f1b0f923b609a48e202ace7806f79c

2021-06-10T03:58:52.000Z

2022-03-05T08:05:24.000Z

README.md

Holmes-Alan/RefVAE

836b8f1168f1b0f923b609a48e202ace7806f79c

README.md

Holmes-Alan/RefVAE

836b8f1168f1b0f923b609a48e202ace7806f79c

2021-06-10T06:09:51.000Z

2021-07-05T01:13:41.000Z

# RefVAE Reference based Image Super-Resolution via Variational AutoEncoder By Zhi-Song Liu, Li-Wen Wang and Wan-Chi Siu This repo only provides simple testing codes, pretrained models and the network strategy demo. We propose a Reference based Image Super-Resolution via Variational AutoEncoder (RefVAE) We participate CVPRW [Learning the Super-Resolution Space](https://data.vision.ee.ethz.ch/cvl/ntire21/) Please check our [paper](https://arxiv.org/pdf/2106.04090.pdf) # BibTex @InProceedings{Liu2021refvae, author = {Zhi-Song Liu, Wan-Chi Siu and Li-Wen Wang}, title = {Reference based Image Super-Resolution via Variational AutoEncoder}, booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition Workshop(CVPRW)}, month = {June}, year = {2021} } ## For proposed RefVAE model, we claim the following points: • First working on using Variational AutoEncoder for reference based image super-resolution. • Our proposed RefVAE can expand the SR space so that multiple SR images can be generated. # Dependencies Python > 3.0 OpenCV library Pytorch > 1.0 NVIDIA GPU + CUDA # Complete Architecture The complete architecture is shown as follows,  # Implementation ## 1. Quick testing --------------------------------------- 1. Download pre-trained from https://drive.google.com/file/d/1R3vR7PiFNT26sIBorVoq6Mf-F4pMHfmh/view?usp=sharing then put the pre-trained models under the "models" folder. 2. Modify "test.py" and run ```sh $ python test.py ``` ## 2. Training --------------------------- ### s1. Download DIV2K and Flickr2K training images from https://data.vision.ee.ethz.ch/cvl/DIV2K/ https://github.com/LimBee/NTIRE2017 ### s2. Download reference images from https://www.wikiart.org/ ### s3. Modify "test.py" and run ```sh $ python main_GAN.py ``` --------------------------- ## Partial SR image comparison ## 1. Visualization comparison Results on 8x image SR on DIV2K validation dataset  ## 2. Quantitative comparison  # Reference You may check our newly work on [Real image super-resolution using VAE](https://github.com/Holmes-Alan/dSRVAE) You may also check our work on [Reference based face SR using VAE](https://github.com/Holmes-Alan/RefSR) You may also check our work on [General image SR using VAE](https://github.com/Holmes-Alan/SR-VAE)

eng_Latn

f7554c6b6d626f27c913b6e96ab4b195f99b3ba4

md

Markdown

playground/usePrev.md

avitorio/beautiful-react-hooks

68cd1faa1b948f1776580f40e43d5c5b9fb3c353

playground/usePrev.md

avitorio/beautiful-react-hooks

68cd1faa1b948f1776580f40e43d5c5b9fb3c353

2021-03-01T21:21:28.000Z

2022-02-26T01:59:32.000Z

playground/usePrev.md

avitorio/beautiful-react-hooks

68cd1faa1b948f1776580f40e43d5c5b9fb3c353

```jsx noeditor // for demo purposes only const style = window.compStyle = { background: '#FDFEFD', width: '250px', padding: '20px', textAlign: 'center', boxShadow: '0 0 10px rgba(20, 20, 20, .1)', margin: '10px auto', }; ``` ```jsx harmony import { useState } from 'react'; import { useInterval, usePrev } from 'beautiful-react-hooks'; const TestComponent = () => { const [seconds, setSeconds] = useState(0); const prevSeconds = usePrev(seconds); const everySecond = useInterval(1000); everySecond(() => { setSeconds(1 + seconds); }); return ( <div style={compStyle}> <p>{seconds}s</p> <p>Prev value: {prevSeconds}</p> </div> ); } <TestComponent /> ```

eng_Latn

f7560618347f46463c141a8f527514509ba84227

md

Markdown

docs/scrapers/ks.md

anikasikka/warn-scraper

13efac478ac06982bf68ce67e15db976ac07f101

2022-01-18T20:04:41.000Z

2022-03-24T21:26:31.000Z

docs/scrapers/ks.md

anikasikka/warn-scraper

13efac478ac06982bf68ce67e15db976ac07f101

2022-01-14T19:30:23.000Z

2022-03-31T23:48:48.000Z

docs/scrapers/ks.md

anikasikka/warn-scraper

13efac478ac06982bf68ce67e15db976ac07f101

2022-01-19T20:40:13.000Z

2022-02-22T21:36:34.000Z

--- orphan: true --- # Kansas > This state uses the Job Center platform. See the [Job Center docs](job_center.md) > for details on the scraping strategy. - [Home page](https://www.kansasworks.com) - [Search form](https://www.kansasworks.com/search/warn_lookups/new) - [All data][] - General contact number (1-800) listed [here](https://www.kansasworks.com/site_map) ## Important data note The Kansas Job Center site does not display Non-WARN layoff notices by default but our scraper captures both WARN and Non-WARN notices. Therefore, our record counts are significantly higher than what you'll get from a count of records displayed online. [All data]: https://www.kansasworks.com/search/warn_lookups?commit=Search&page=1&q%5Bemployer_name_cont%5D=&q%5Bmain_contact_contact_info_addresses_full_location_city_matches%5D=&q%5Bnotice_eq%5D=true&q%5Bnotice_on_gteq%5D=&q%5Bnotice_on_lteq%5D=&q%5Bs%5D=notice_on+desc&q%5Bservice_delivery_area_id_eq%5D=&q%5Bzipcode_code_start%5D=&utf8=%E2%9C%93

eng_Latn

f75742a0259f15f36a71b8ffdc0d2c1e86b33403

md

Markdown

Color-game/README.md

ShwetKhatri/JavaScript_Library

e646de3e8f7f124da3f6d72a72f9db8297ec64ba

2020-10-04T13:11:12.000Z

2021-09-05T21:07:13.000Z

Color-game/README.md

ShwetKhatri/JavaScript_Library

e646de3e8f7f124da3f6d72a72f9db8297ec64ba

2020-10-03T13:20:50.000Z

2020-10-20T15:39:41.000Z

Color-game/README.md

ShwetKhatri/JavaScript_Library

e646de3e8f7f124da3f6d72a72f9db8297ec64ba

2020-10-03T13:27:08.000Z

2021-09-05T21:07:26.000Z

This is a color game. In this you have to guess the color on the basis of randomly generated color code.

eng_Latn

f7580748fc8a18a727c0c1a96a9467ac6ccaccf7

md

Markdown

README.md

Philippczyck/nftgo

029bb85713742349d551a7bd4bbfbdf71a0aa916

README.md

Philippczyck/nftgo

029bb85713742349d551a7bd4bbfbdf71a0aa916

README.md

Philippczyck/nftgo

029bb85713742349d551a7bd4bbfbdf71a0aa916

# nftgo

deu_Latn

f7580a78256212a0c28bc21d84232bc5ec4078e9

md

Markdown

README.md

davidcavazos/PubSub-MapReduce

a36e18c572498e8a4b954c3139251b5b9d5e4b1c

README.md

davidcavazos/PubSub-MapReduce

a36e18c572498e8a4b954c3139251b5b9d5e4b1c

README.md

davidcavazos/PubSub-MapReduce

a36e18c572498e8a4b954c3139251b5b9d5e4b1c

# Pub/Sub MapReduce The following sample shows how to create a Map-Reduce cluster using Pub/Sub for communication instead of the filesystem. With an appropriate cluster size, this can handle up to 1 million messages per second. The basic workflow is the following. We have 5 knobs, each can point to anywhere between 0 and 200,000. The 5 knobs combined will handle up to 1,000,000. Those knobs are handled by a device in IoT Core, which will send every change done to any of the knobs through a Pub/Sub topic. We want to be flood that number of messages to another Pub/Sub topic, then count them, and send the results back the IoT Core device. Here's a more detailed description of the workflow: 1. **IoT Core knobs**: publish to `knobs` topic Each knob publishes a message with their current value every time they change. The message includes the knob's ID (`id`), the number of messages to publish (`n`), and a timestamp of when that message was generated (`ts`). > `knobs`: `{"id": 1, "n": 42, "ts": 1525474779.668172}` 2. **`knobs.go`**: subscribes to `knobs` topic, publishes to `flood` topic This process is constantly listening for the updates of the knobs. Every second it's publishing a message with the latest state of each knob. This consists of a list of numbers, where each number is the number of messages that will be multiplied per knob. > `flood`: `{"Ns": [0, 42, 0, 0, 0]}` 3. **`flood.go`**: subscribes to `flood` topic, publishes to `mapper` topic Every time this process receives a message, it publishes the number of messages given in the list it received. Each message only contains the knob ID that originally sent it. This process is independent, so it can be run in parallel in a cluster for scale. > `mapper`: `1` 4. **`mapper.go`**: subscribes to `mapper` topic, publishes to `reducer` topic This process is constantly listening for the `mapper`'s messages. It counts them and classifies them by knob ID. Every 100 ms it sends a message with its local results. This process is independent, so it can be run in parallel in a cluster for scale. > `reducer`: `{"messages": [0, 21, 0, 0, 0]}` 5. **`reducer.go`**: subscribes to `reducer` topic, publishes to IoT Core This listens to the partial results of every reducer and aggregates all the results. It basically adds all the results from `reducer`, and every second it will publish the results of how many messages were processed in that second. The IoT Core publishing can be skipped with the `-skip-iot` flag. ## Requirements Make sure you have the following installed: - [Go language](https://golang.org/doc/install#install) - [gcloud](https://cloud.google.com/sdk/downloads) - [Docker](https://docs.docker.com/install/) Enable the following Google Cloud products: - [Kubernetes Engine](https://pantheon.corp.google.com/kubernetes) - [Pub/Sub](https://pantheon.corp.google.com/cloudpubsub) - [IoT Core](https://pantheon.corp.google.com/iot) *(optional)* First, clone the repository and change directory to it. ```bash git clone https://github.com/davidcavazos/PubSub-MapReduce.git cd PubSub-MapReduce ``` ## Local run For this to work you'll have to run all the processes at the same time. The Pub/Sub topics and subscriptions will be created if they don't exist. Make sure to your Compute Engine Service Account through the `GOOGLE_APPLICATION_CREDENTIALS` environment variable: ```bash export GOOGLE_APPLICATION_CREDENTIALS=path/to/your/credentials.json ``` We now need to get the Go dependencies. ```bash go get -u cloud.google.com/go/pubsub google.golang.org/api/cloudiot/v1 ``` The following processes will have to be run on a different terminal or in a terminal multiplexer such as `tmux` or `screen`. Make sure the environment variables are set. ```bash # You can either pass your Google CLoud Project ID with the -project flag # on each process, or through the PROJECT environment variable PROJECT=<Your Project ID> # Process 1: subscribes to `knobs`, publishes to `flood` go run knobs.go # Process 2: subscribes to `flood`, publishes to `mapper` go run flood.go # Process 3: subscribes to `mapper`, publishes to `reducer` go run mapper.go # Process 4: subscribes to `reducer`, publishes to IoT Core go run reducer.go -skip-iot ``` To send the knobs messages, you can use the included simulator to test things out. ```bash # To make the knobs send a constant number go run simulate-knobs.go -n 10000 # To make the knobs cycle through a sine wave, it goes from 0 to `n` go run simulate-knobs.go -n 10000 -cycle ``` ## Running on a Kubernetes cluster First, we'll have to create a Kubernetes cluster, any size will do as long as there are enough resources for all the processes. To consistently get 1 million messages per second, we'll create an 18 nodes cluster, each VM will have 8 vCPUs with the minimum memory needed. ```bash CLUSTER_NAME=cluster PROJECT=<Your Project ID> # Create the cluster gcloud container clusters create $CLUSTER_NAME \ --machine-type n1-highcpu-8 \ --num-nodes 18 # Deploy the processes to Kubernetes ./deploy ``` To send the knobs messages, you can use the included simulator to test things out. ```bash # To make the knobs send a constant number go run simulate-knobs.go -n 200000 # To make the knobs cycle through a sine wave, it goes from 0 to `n` go run simulate-knobs.go -n 200000 -cycle ```

eng_Latn

f75a3cf2cdc1b11a28ac1d07ceab95fa7fd7f7fa

md

Markdown

doc/practice/extra-page/advanced.md

FLY-Open-DevOps/java-treasurebox

df472cc4af28810c91f077ac9aca43bacacf418e

doc/practice/extra-page/advanced.md

FLY-Open-DevOps/java-treasurebox

df472cc4af28810c91f077ac9aca43bacacf418e

2022-03-07T01:29:10.000Z

2022-03-15T02:45:13.000Z

doc/practice/extra-page/advanced.md

FLY-Open-DevOps/java-treasurebox

df472cc4af28810c91f077ac9aca43bacacf418e

<p align="center"><iframe frameborder="no" border="0" marginwidth="0" marginheight="0" width=330 height=86 src="//music.163.com/outchain/player?type=2&id=1334849028&auto=1&height=66"></iframe></p> <p align="center">本单曲受版权保护，可<a href="https://music.163.com/#/mv?id=10859500">点击观看 MV</a>。</p> > 受伤的得到疗愈，挣扎的得到出口<br> > _Let those who hurt heal, let those who struggle find hope_. ``` 告别的时刻已到了 随身的行囊 装些快乐 前方被乌云笼罩了 心中的拉扯 困兽在低吼 隐隐约约的沉默 透露一丝丝苦涩 愿你不再被伤透 别再带着泪入睡 曲曲折折的世界 答案不一定绝对 伤口因为爱壮烈 让我们同步进阶 重生的力量来自真我 战胜可敬的对手 yeah~ 坚持信念是我的所有 抵达心中的辽阔 yeah~ 有失去的 该进阶的 有遗憾的 该进阶的 放不下的 该进阶的 yeah~ 圣所的光芒 指引方向 oh~ 跨越了浩劫 曙光渐亮 oh~ 希望因挣扎破灭了 再别无所求 于是自由 逆着风孤独的英雄 也渴望停泊 可说不出口 隐隐约约的沉默 透露一丝丝苦涩 愿你不再被伤透 别再带着泪入睡 曲曲折折的世界 答案不一定绝对 伤口因为爱壮烈 让我们同步进阶 重生的力量来自真我 战胜可敬的对手 yeah~ 坚持信念是我的所有 抵达心中的辽阔 yeah~ 有失去的 该进阶的 有遗憾的 该进阶的 放不下的 该进阶的 yeah~ 圣所的光芒 指引方向 oh~ 跨越了浩劫 曙光渐亮 oh~ ```

yue_Hant

f75a750914e791c364ce7d9ead875a2341677fe9

md

Markdown

archived/2020-08-28/2020-08-28-玫瑰之城波特兰【闲情偶寄 03】晓松奇谈不能说的，都在这里！.md

NodeBE4/teahouse

4d31c4088cc871c98a9760cefd2d77e5e0dd7466

2020-09-16T02:05:27.000Z

2020-09-16T02:05:27.000Z

archived/2020-08-28/2020-08-28-玫瑰之城波特兰【闲情偶寄 03】晓松奇谈不能说的，都在这里！.md

NodeBE4/teahouse

4d31c4088cc871c98a9760cefd2d77e5e0dd7466

archived/2020-08-28/2020-08-28-玫瑰之城波特兰【闲情偶寄 03】晓松奇谈不能说的，都在这里！.md

NodeBE4/teahouse

4d31c4088cc871c98a9760cefd2d77e5e0dd7466

--- layout: post title: "玫瑰之城波特兰【闲情偶寄 03】晓松奇谈不能说的，都在这里！" date: 2020-08-28T00:33:19.000Z author: 空镜 from: https://www.youtube.com/watch?v=vxXHQNS2-BQ tags: [ 高晓松 ] categories: [ 高晓松 ] --- <!--1598574799000--> [玫瑰之城波特兰【闲情偶寄 03】晓松奇谈不能说的，都在这里！](https://www.youtube.com/watch?v=vxXHQNS2-BQ) ------ <div> 《矮大紧指北》高晓松 </div>

yue_Hant

f75b38d850e56d6c86e12accf0a986b0025f1afe

md

Markdown

extra/DEVDOC.md

fdrepo/BCBR-Question-Bank

ea86087d852214880cb23c87f15c2640c507fd30

2022-02-14T19:36:39.000Z

2022-02-14T19:36:39.000Z

extra/DEVDOC.md

fdrepo/BCBR-Question-Bank

ea86087d852214880cb23c87f15c2640c507fd30

extra/DEVDOC.md

fdrepo/BCBR-Question-Bank

ea86087d852214880cb23c87f15c2640c507fd30

2022-02-19T15:07:25.000Z

2022-02-19T15:07:25.000Z

Step 1 : App Basic Stucture From a Skeleton template (alternative counter app), See explanation from team flutter below. * https://www.youtube.com/watch?v=Yy4NgbqNNtY&t=224s `